From d6a0a2cd5fc329525d92855a8d7d314f5e7b84b0 Mon Sep 17 00:00:00 2001 From: eluan216 <134099412+eluan216@users.noreply.github.com> Date: Sun, 8 Nov 2026 14:08:54 +0100 Subject: [PATCH] Preserve v2 attempts and reproduce post-hoc candidates before controlled grading --- .github/workflows/evaluate-v2-posthoc.yml | 67 +++++++++++ benchmarks/grade_t4_posthoc_case.py | 112 ++++++++++++++++++ evaluation/t4-e2b-nf4-v2/PROVENANCE.md | 1 + ...rshmallow-code__marshmallow-1343.bm25.json | 1 + ...shmallow-code__marshmallow-1343.graph.json | 1 + ...rshmallow-code__marshmallow-1359.bm25.json | 1 + ...shmallow-code__marshmallow-1359.graph.json | 1 + .../pvlib__pvlib-python-1072.bm25.json | 1 + .../pvlib__pvlib-python-1072.graph.json | 1 + .../pvlib__pvlib-python-1154.bm25.json | 1 + .../pvlib__pvlib-python-1154.graph.json | 1 + .../pvlib__pvlib-python-1606.bm25.json | 1 + .../pvlib__pvlib-python-1606.graph.json | 1 + .../pvlib__pvlib-python-1707.bm25.json | 1 + 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100644 benchmarks/grade_t4_posthoc_case.py create mode 100644 evaluation/t4-e2b-nf4-v2/PROVENANCE.md create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/marshmallow-code__marshmallow-1343.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/marshmallow-code__marshmallow-1343.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/marshmallow-code__marshmallow-1359.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/marshmallow-code__marshmallow-1359.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1072.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1072.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1154.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1154.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1606.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1606.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1707.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1707.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1854.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1854.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1139.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1139.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1256.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1256.graph.json create mode 100644 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evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1333.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1333.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1866.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1866.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1978.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1978.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pyvista__pyvista-4315.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/pyvista__pyvista-4315.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1517.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1517.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1625.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1625.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1733.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1733.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1763.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1763.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-2419.bm25.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-2419.graph.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/manifest.json create mode 100644 evaluation/t4-e2b-nf4-v2/original/predictions.bm25.jsonl create mode 100644 evaluation/t4-e2b-nf4-v2/original/predictions.graph.jsonl create mode 100644 evaluation/t4-e2b-nf4-v2/original/toolkit-commit.txt diff --git a/.github/workflows/evaluate-v2-posthoc.yml b/.github/workflows/evaluate-v2-posthoc.yml new file mode 100644 index 0000000..43d1fd2 --- /dev/null +++ b/.github/workflows/evaluate-v2-posthoc.yml @@ -0,0 +1,67 @@ +name: evaluate-v2-posthoc +on: + pull_request: + paths: + - 'evaluation/t4-e2b-nf4-v2/**' + - 'benchmarks/grade_t4_posthoc_case.py' + - '.github/workflows/evaluate-v2-posthoc.yml' +permissions: + contents: read +jobs: + revalidate: + runs-on: ubuntu-latest + timeout-minutes: 30 + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: '3.12' + - run: python -m pip install -e . pyarrow==26.0.1 + - run: python benchmarks/prepare_repair_inputs.py --output-dir evaluation-inputs + - run: python benchmarks/prepare_edit_snapshots.py --inputs evaluation-inputs/inputs.jsonl --manifest evaluation-inputs/manifest.json --output-dir evaluation-sources + - run: python benchmarks/revalidate_structured_run.py --run-dir evaluation/t4-e2b-nf4-v2/original --inputs evaluation-inputs/inputs.jsonl --manifest evaluation-inputs/manifest.json --source-dir evaluation-sources --output-dir posthoc-results + - name: Verify frozen candidate set + run: | + python - <<'PY' + import json + from pathlib import Path + report = json.loads(Path("posthoc-results/report.json").read_text()) + candidates = {(r["instance_id"],r["arm"]) for r in report["records"] if r["final_status"] == "applicable"} + assert candidates == {("pydicom__pydicom-1694","bm25"),("sqlfluff__sqlfluff-2419","bm25")}, candidates + print("LCG_V2_REVALIDATION_JSON=" + json.dumps(report)) + PY + - uses: actions/upload-artifact@v4 + if: always() + with: + name: v2-posthoc-revalidation + path: | + posthoc-results/ + evaluation-inputs/manifest.json + evaluation-sources/manifest.json + controlled-grading: + needs: revalidate + runs-on: ubuntu-latest + timeout-minutes: 55 + strategy: + fail-fast: false + matrix: + instance: ['pydicom__pydicom-1694', 'sqlfluff__sqlfluff-2419'] + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: '3.12' + - uses: actions/download-artifact@v4 + with: + name: v2-posthoc-revalidation + path: replay-artifact + - run: python -m pip install swebench==4.1.0 pyarrow==26.0.1 + - run: docker version + - run: python benchmarks/grade_t4_posthoc_case.py --instance ${{ matrix.instance }} --input-dir replay-artifact/posthoc-results --output-dir grading-results + - uses: actions/upload-artifact@v4 + if: always() + with: + name: v2-controls-${{ matrix.instance }} + path: | + grading-results/ + logs/ diff --git a/benchmarks/grade_t4_posthoc_case.py b/benchmarks/grade_t4_posthoc_case.py new file mode 100644 index 0000000..1782f24 --- /dev/null +++ b/benchmarks/grade_t4_posthoc_case.py @@ -0,0 +1,112 @@ +"""Official test-based grading of the only strict-applicable, source-changing export.""" +import argparse +import json +import os +from pathlib import Path +import subprocess +import sys +import tempfile +from run_swebench_lite import obtain_tasks + +INSTANCE = None +MARKER_PATCH = ( + "diff --git a/.lcg_unfixed_control b/.lcg_unfixed_control\n" + "new file mode 100644\n--- /dev/null\n+++ b/.lcg_unfixed_control\n" + "@@ -0,0 +1 @@\n+Unmodified program-source control.\n" +) + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("--input-dir", required=True) + parser.add_argument("--output-dir", required=True) + parser.add_argument("--instance", required=True) + args = parser.parse_args() + global INSTANCE + INSTANCE = args.instance + if INSTANCE not in {"pydicom__pydicom-1694", "sqlfluff__sqlfluff-2419"}: + raise ValueError("instance is outside the frozen post-hoc candidate set") + output = Path(args.output_dir) + output.mkdir(parents=True, exist_ok=True) + with tempfile.TemporaryDirectory() as directory: + tasks, dataset = obtain_tasks(Path(directory), "6ec7bb89b9342f664a54a6e0a6ea6501d3437cc2") + task = next(t for t in tasks if t["instance_id"] == INSTANCE) + (output / "task.json").write_text(json.dumps([task])) + rows = [json.loads(line) for line in (Path(args.input_dir) / "predictions.bm25.posthoc.jsonl").read_text().splitlines()] + candidate = next(r["model_patch"] for r in rows if r["instance_id"] == INSTANCE) + cases = {"gold": task["patch"], "unfixed": MARKER_PATCH, "bm25_posthoc": candidate} + # This pre-fix project uses nose-style setup/teardown, removed in pytest 8. + # Pin only the test dependency; do not change project code, labels or patches. + wrapper = ( + "from swebench.harness.constants.python import SPECS_PYDICOM\n" + "import runpy\n" + "for spec in SPECS_PYDICOM.values():\n" + " spec['pip_packages'] = ['pytest==7.4.4' if p == 'pytest' else p " + "for p in spec.get('pip_packages', [])]\n" + "runpy.run_module('swebench.harness.run_evaluation', run_name='__main__')\n" + ) + statuses = {} + for label, patch in cases.items(): + model_name = "lcg-control-" + label + prediction = output / f"{label}.jsonl" + prediction.write_text(json.dumps({"instance_id": INSTANCE, + "model_name_or_path": model_name, "model_patch": patch}) + "\n") + run_id = "lcg-v2-" + INSTANCE + "-" + label + "-" + os.environ.get("GITHUB_RUN_ID", "local") + command = [sys.executable, "-c", wrapper, + "--dataset_name", str(output / "task.json"), "--split", "dev", + "--predictions_path", str(prediction), "--instance_ids", INSTANCE, + "--max_workers", "1", "--namespace", "none", + "--cache_level", "instance", "--timeout", "600", "--run_id", run_id] + print("Grading", label, "with swebench 4.1.0", flush=True) + log_path = output / f"{label}.log" + try: + with log_path.open("w") as log: + process = subprocess.run(command, stdout=log, stderr=subprocess.STDOUT, + text=True, timeout=1500) + matches = [p for p in Path("logs").rglob("report.json") + if run_id in str(p) and INSTANCE in str(p)] + report = matches[0] if len(matches) == 1 else output / "missing-report.json" + test_log = report.parent / "test_output.txt" + statuses[label] = {"exit_code": process.returncode, + "report": json.loads(report.read_text()) if report.exists() else None, + "test_failure_excerpt": (test_log.read_text()[max(0, test_log.read_text().find("FAILURES")):][:12000] + if test_log.exists() else None), + "test_output_head": test_log.read_text()[:10000] if test_log.exists() else None, + "test_output_tail": test_log.read_text()[-10000:] if test_log.exists() else None, + "log_tail": log_path.read_text()[-4000:]} + except Exception as error: + statuses[label] = {"error": str(error)} + (output / "status.json").write_text(json.dumps(statuses, indent=2)) + case_report = statuses[label].get("report") or {} + resolved = case_report.get(INSTANCE, {}).get("resolved") + detail = case_report.get(INSTANCE, {}) + status = detail.get("tests_status", {}) + f2p = status.get("FAIL_TO_PASS", {}) + p2p = status.get("PASS_TO_PASS", {}) + expected_f2p = task["FAIL_TO_PASS"] + expected_p2p = task["PASS_TO_PASS"] + if isinstance(expected_f2p, str): + expected_f2p = json.loads(expected_f2p) + if isinstance(expected_p2p, str): + expected_p2p = json.loads(expected_p2p) + observed_f2p = set(f2p.get("success", []) + f2p.get("failure", [])) + observed_p2p = set(p2p.get("success", []) + p2p.get("failure", [])) + complete = (detail.get("patch_successfully_applied") is True + and observed_f2p == set(expected_f2p) and observed_p2p == set(expected_p2p)) + qualified = complete and not p2p.get("failure") and ( + (resolved is True and not f2p.get("failure")) if label == "gold" + else (resolved is False and bool(f2p.get("failure"))) if label == "unfixed" else True) + statuses[label]["control_qualified"] = qualified if label in {"gold", "unfixed"} else None + (output / "status.json").write_text(json.dumps(statuses, indent=2)) + if label in {"gold", "unfixed"} and not qualified: + print("Control validation failed; stopping before model grading.", flush=True) + break + result = {"instance_id": INSTANCE, "dataset": dataset, "harness": "swebench==4.1.0", + "environment_override": {"pydicom_pytest": "7.4.4", + "reason": "Restore legacy nose-style setup/teardown support; applied to pydicom specs only"}, + "scope": "Controlled grading of a post-hoc final-step candidate, not a complete official repair score", + "cases": statuses} + (output / "results.json").write_text(json.dumps(result, indent=2) + "\n") + print("LCG_GRADE_JSON=" + json.dumps(result), flush=True) + +if __name__ == "__main__": + main() diff --git a/evaluation/t4-e2b-nf4-v2/PROVENANCE.md b/evaluation/t4-e2b-nf4-v2/PROVENANCE.md new file mode 100644 index 0000000..b56ce1f --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/PROVENANCE.md @@ -0,0 +1 @@ +Original v2 attempt records and empty prediction exports supplied by the author. Original run commit: 48fa23825b2a1cfbb124a086673ae97fe1aad02d. Runtime package environment dumps and private transfer URLs are omitted. Model responses may quote upstream source; those quotes retain upstream terms. Regenerate gold-free inputs at the pinned dataset revision and verify the manifest checksum before post-hoc revalidation. Post-hoc predictions are distinct derived artifacts, never replacements for original v2 results. No test outcome is inferred from application checks. diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/marshmallow-code__marshmallow-1343.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/marshmallow-code__marshmallow-1343.bm25.json new file mode 100644 index 0000000..424af16 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/marshmallow-code__marshmallow-1343.bm25.json @@ -0,0 +1 @@ +{"instance_id": "marshmallow-code__marshmallow-1343", "arm": "bm25", "patch": "", "source_snapshot_sha256": "6f3afba4a09b3550be1e09217781cc8c804e2849e012dc9960c57be4ac79a929", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2808, "context_characters": 7430, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "c4f202c2eb74a75c9b8ddd6b32f4365c27511111fec0c02f1e4e6f953ba6fa9a", "output_tokens": 132, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"package/file.py\",\n \"old\": \"class Bar(Schema):\\n value = fields.String()\\n\\n @validates('value') # <- issue here\\n def validate_value(self, value):\\n pass\",\n \"new\": \"class Bar(Schema):\\n value = fields.String()\\n\\n @validates('value')\\n def validate_value(self, value):\\n pass\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7510396416, "peak_gpu_reserved_bytes": 7738490880, "seconds": 14.698119918999964, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2969, "context_characters": 7430, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "e7f8b1e84e1aa130bb3688165363c9d0638888ac5f61cfb4a18194f00a446faf", "output_tokens": 132, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"package/file.py\",\n \"old\": \"class Bar(Schema):\\n value = fields.String()\\n\\n @validates('value') # <- issue here\\n def validate_value(self, value):\\n pass\",\n \"new\": \"class Bar(Schema):\\n value = fields.String()\\n\\n @validates('value')\\n def validate_value(self, value):\\n pass\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7585712128, "peak_gpu_reserved_bytes": 7811891200, "seconds": 14.817595222999898, "validation_error": "return one JSON object without fences or prose"}], "seconds": 29.64976290200002} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/marshmallow-code__marshmallow-1343.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/marshmallow-code__marshmallow-1343.graph.json new file mode 100644 index 0000000..0d6a539 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/marshmallow-code__marshmallow-1343.graph.json @@ -0,0 +1 @@ +{"instance_id": "marshmallow-code__marshmallow-1343", "arm": "graph", "patch": "", "source_snapshot_sha256": "6f3afba4a09b3550be1e09217781cc8c804e2849e012dc9960c57be4ac79a929", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2961, "context_characters": 7960, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "e601028dd603837e63e316a758267e5d54cf5dfceed7fdbf383b8e646c7aff9d", "output_tokens": 132, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"package/file.py\",\n \"old\": \"class Bar(Schema):\\n value = fields.String()\\n\\n @validates('value') # <- issue here\\n def validate_value(self, value):\\n pass\",\n \"new\": \"class Bar(Schema):\\n value = fields.String()\\n\\n @validates('value')\\n def validate_value(self, value):\\n pass\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7582035456, "peak_gpu_reserved_bytes": 7805599744, "seconds": 14.753714582000157, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 3122, "context_characters": 7960, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "a6cea9495706044028b1db862c94b79f2417d9d95a64604f36b2584339a6a993", "output_tokens": 132, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"package/file.py\",\n \"old\": \"class Bar(Schema):\\n value = fields.String()\\n\\n @validates('value') # <- issue here\\n def validate_value(self, value):\\n pass\",\n \"new\": \"class Bar(Schema):\\n value = fields.String()\\n\\n @validates('value')\\n def validate_value(self, value):\\n pass\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7661223936, "peak_gpu_reserved_bytes": 7927234560, "seconds": 14.973738913000034, "validation_error": "return one JSON object without fences or prose"}], "seconds": 29.778565179999987} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/marshmallow-code__marshmallow-1359.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/marshmallow-code__marshmallow-1359.bm25.json new file mode 100644 index 0000000..558e415 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/marshmallow-code__marshmallow-1359.bm25.json @@ -0,0 +1 @@ +{"instance_id": "marshmallow-code__marshmallow-1359", "arm": "bm25", "patch": "", 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np.where(np.abs(aoi) >= 90.0, 0.0, iam)\",\n \"new\": \" iam = 1 - (1 - cosd(aoi)) ** 5\\n iam = np.where(np.abs(aoi) >= 90.0, 0.0, iam)\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7444801536, "peak_gpu_reserved_bytes": 7673479168, "seconds": 16.676870611999675, "validation_error": "return one JSON object without fences or prose"}], "seconds": 32.30342870499999} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1707.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1707.graph.json new file mode 100644 index 0000000..c8552e4 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1707.graph.json @@ -0,0 +1 @@ +{"instance_id": "pvlib__pvlib-python-1707", "arm": "graph", "patch": "", "source_snapshot_sha256": "e5fc921294d0cc97ab1cfd5e8b26eae06defd80582f7e8f0eef043c6154bddb9", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2813, 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** 5\\n iam = np.where(np.abs(aoi) >= 90.0, 0.0, iam)\",\n \"new\": \" iam = 1 - (1 - cosd(aoi)) ** 5\\n iam = np.where(np.abs(aoi) >= 90.0, 0.0, iam)\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7595674624, "peak_gpu_reserved_bytes": 7853834240, "seconds": 15.872856611000316, "validation_error": "return one JSON object without fences or prose"}], "seconds": 32.07579505800004} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1854.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1854.bm25.json new file mode 100644 index 0000000..7c80863 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1854.bm25.json @@ -0,0 +1 @@ +{"instance_id": "pvlib__pvlib-python-1854", "arm": "bm25", "patch": "", "source_snapshot_sha256": "d40e7c54d26edb5a22c167669f33e29ea2ee2c4d2a970eec1fcefa1322990ae5", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2694, "context_characters": 7250, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "cbf9f7fac78133c8c6dded6525ee9b6e92b5a344dc294410c34b795af1ac6a36", "output_tokens": 11, "response": "```json\n{\"edits\":[]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7461007872, "peak_gpu_reserved_bytes": 7692353536, "seconds": 2.169322672999897, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2734, "context_characters": 7250, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "917b5927df5b1ec70b9aeae462389d98da6bf8d0afc6062fe83e7dc872c0908a", "output_tokens": 11, "response": "```json\n{\"edits\":[]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7476455424, "peak_gpu_reserved_bytes": 7709130752, "seconds": 2.169486700000107, "validation_error": "return one JSON object without fences or prose"}], "seconds": 4.398929646999932} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1854.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1854.graph.json new file mode 100644 index 0000000..fcc3a6c --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pvlib__pvlib-python-1854.graph.json @@ -0,0 +1 @@ +{"instance_id": "pvlib__pvlib-python-1854", "arm": "graph", "patch": "", "source_snapshot_sha256": "d40e7c54d26edb5a22c167669f33e29ea2ee2c4d2a970eec1fcefa1322990ae5", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2863, "context_characters": 7943, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "d11d5b160678285c009cd2af72bea10da6452c7e929629bc1ebd9c5099f6d0c4", "output_tokens": 139, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"pvlib/pvsystem.py\",\n \"old\": \" elif len(arrays) == 0:\\n raise ValueError(\\\"PVSystem must have at least one Array. \\\"\\n \\\"If you want to create a PVSystem instance \\\"\\n\\n\",\n \"new\": \" elif len(arrays) == 0:\\n raise ValueError(\\\"PVSystem must have at least one Array. \\\"\\n \\\"If you want to create a PVSystem instance \\\"\\n\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7538660864, "peak_gpu_reserved_bytes": 7755268096, "seconds": 15.577256160000161, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 3031, "context_characters": 7943, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "24b5bf9a7d170856eb61fd6f1717eaa71f627c7abc4317bc3b2605375c6655a5", "output_tokens": 88, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"pvlib/pvsystem.py\",\n \"old\": \" elif len(arrays) == 0:\\n raise ValueError(\\\"PVSystem must have at least one Array. \\\"\\n \\\"If you want to create a PVSystem instance \\\"\\n\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7614867968, "peak_gpu_reserved_bytes": 7876902912, "seconds": 10.778102407999995, "validation_error": "return one JSON object without fences or prose"}], "seconds": 26.41830130499966} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1139.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1139.bm25.json new file mode 100644 index 0000000..66a4e28 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1139.bm25.json @@ -0,0 +1 @@ +{"instance_id": "pydicom__pydicom-1139", "arm": "bm25", "patch": "", "source_snapshot_sha256": "26c69ffb5cc8f3afcb867b09a2aa8b9cbbd2e4eb5bd7836989d935ad1732e18e", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 1802, "context_characters": 5908, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "8a38168b6f5dfcbf44ee7f585306465df14e8f22f58193cf8991e57772717d46", "output_tokens": 103, "response": "```json\n{\"edits\": [{\"path\": \"examples/metadata_processing/plot_anonymize.py\", \"old\": \"ds.PatientName = 'SomeName'\\n\\n'S' in ds.PatientName\", \"new\": \"ds.PatientName = 'SomeName'\\n\\n'S' in ds.PatientName\\n\\nfor char in ds.PatientName:\\n if char == 'S':\\n break\"}]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7117827584, "peak_gpu_reserved_bytes": 7298088960, "seconds": 11.100630092999836, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 1934, "context_characters": 5908, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "fc1589eb6463a3250318ce07a8431041cb7399fce6b97a8915ce3b6786b4231b", "output_tokens": 91, "response": "```json\n{\"edits\": [{\"path\": \"examples/metadata_processing/plot_anonymize.py\", \"old\": \"ds.PatientName = 'SomeName'\\n\\n'S' in ds.PatientName\", \"new\": \"ds.PatientName = 'SomeName'\\n\\nfor char in ds.PatientName:\\n if char == 'S':\\n break\"}]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7161314816, "peak_gpu_reserved_bytes": 7264534528, "seconds": 10.185327640000196, "validation_error": "return one JSON object without fences or prose"}], "seconds": 21.364970086000085} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1139.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1139.graph.json new file mode 100644 index 0000000..7a9d949 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1139.graph.json @@ -0,0 +1 @@ +{"instance_id": "pydicom__pydicom-1139", "arm": "graph", "patch": "", "source_snapshot_sha256": "26c69ffb5cc8f3afcb867b09a2aa8b9cbbd2e4eb5bd7836989d935ad1732e18e", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2500, "context_characters": 7953, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "3f0cf7b28eca38bd66c2f317321c9194a989b3a4597919449072be586e64c743", "output_tokens": 47, "response": "```json\n{\"edits\": [{\"path\": \"package/file.py\", \"old\": \"'S' in ds.PatientName\", \"new\": \"list('S' in ds.PatientName)\"}]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7376548864, "peak_gpu_reserved_bytes": 7597981696, "seconds": 5.901953013999901, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2576, "context_characters": 7953, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "189e27b666447cac2e5f6cc6f3ff6f617fd1e813cdb2219ee5003f3c3f9337bf", "output_tokens": 47, "response": "```json\n{\"edits\": [{\"path\": \"package/file.py\", \"old\": \"'S' in ds.PatientName\", \"new\": \"list('S' in ds.PatientName)\"}]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7409689600, "peak_gpu_reserved_bytes": 7637827584, "seconds": 5.438061497000035, "validation_error": "return one JSON object without fences or prose"}], "seconds": 11.42048488499995} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1256.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1256.bm25.json new file mode 100644 index 0000000..d15c203 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1256.bm25.json @@ -0,0 +1 @@ +{"instance_id": "pydicom__pydicom-1256", "arm": "bm25", "patch": "", "source_snapshot_sha256": "8d5400c93ea7b26c2ccc11b6e71b6aeab72660e4d22ff9f74bd843af3bb3dcf4", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 992, "context_characters": 1967, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "598d312850bd75460e4a8f299472908f58bd96874c0abb4730f7a2ab6b6c9dde", "output_tokens": 188, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"pydicom/dataelem.py\",\n \"old\": \" try:\\n return cls(tag=tag, value=elem_value, VR=vr)\\n except Exception as exc:\\n raise ValueError(\\n f\\\"Data element '{tag}' could not be loaded from JSON: \\\"\\n f\\\"{elem_value}\\\" \\n ) from exc\",\n \"new\": \" try:\\n return cls(tag=tag, value=elem_value, VR=vr)\\n except Exception as exc:\\n raise ValueError(\\n f\\\"Data element '{tag}' could not be loaded from JSON: \\\"\\n f\\\"{elem_value}\\\" \\n ) from exc\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 6936449024, "peak_gpu_reserved_bytes": 7010779136, "seconds": 19.382949314000143, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 1209, "context_characters": 1967, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "12ab861da163db8dee02cbd62681a195ccab29222febd1544c6c8e7da34f14c6", "output_tokens": 188, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"pydicom/dataelem.py\",\n \"old\": \" try:\\n return cls(tag=tag, value=elem_value, VR=vr)\\n except Exception as exc:\\n raise ValueError(\\n f\\\"Data element '{tag}' could not be loaded from JSON: \\\"\\n f\\\"{elem_value}\\\" \\n ) from exc\",\n \"new\": \" try:\\n return cls(tag=tag, value=elem_value, VR=vr)\\n except Exception as exc:\\n raise ValueError(\\n f\\\"Data element '{tag}' could not be loaded from JSON: \\\"\\n f\\\"{elem_value}\\\" \\n ) from exc\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 6972555776, "peak_gpu_reserved_bytes": 7128219648, "seconds": 19.8537457299999, "validation_error": "return one JSON object without fences or prose"}], "seconds": 39.303287813000225} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1256.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1256.graph.json new file mode 100644 index 0000000..824bbbe --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1256.graph.json @@ -0,0 +1 @@ +{"instance_id": "pydicom__pydicom-1256", "arm": "graph", "patch": "", "source_snapshot_sha256": "8d5400c93ea7b26c2ccc11b6e71b6aeab72660e4d22ff9f74bd843af3bb3dcf4", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2702, "context_characters": 7992, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "b2eba5f4cc35d8a6cad954d568178ce887c97adaf6de90543b1d7a6fcce0fcbb", "output_tokens": 114, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"jsonrep.py\",\n \"old\": \" if data_element.tag in bulk_data_uris:\\n data_element.value = BulkDataURI(data_element.value)\\n\",\n \"new\": \" if data_element.tag in bulk_data_uris:\\n data_element.value = BulkDataURI(data_element.value)\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7464592384, "peak_gpu_reserved_bytes": 7694450688, "seconds": 12.780604534999839, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2845, "context_characters": 7992, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "5dad0287b263ec3ef945cdd6c77da517bf6dbcb66efbd54c13bb67c331a18dce", "output_tokens": 114, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"jsonrep.py\",\n \"old\": \" if data_element.tag in bulk_data_uris:\\n data_element.value = BulkDataURI(data_element.value)\\n\",\n \"new\": \" if data_element.tag in bulk_data_uris:\\n data_element.value = BulkDataURI(data_element.value)\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7530409472, "peak_gpu_reserved_bytes": 7746879488, "seconds": 13.11169371799997, "validation_error": "return one JSON object without fences or prose"}], "seconds": 25.972143365000193} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1413.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1413.bm25.json new file mode 100644 index 0000000..87b0e6c --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1413.bm25.json @@ -0,0 +1 @@ +{"instance_id": "pydicom__pydicom-1413", "arm": "bm25", "patch": "", "source_snapshot_sha256": "69cbb2256b01cca2ee3b024aad655282183b7e5fb436d0408a28b22504fb9672", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 1786, "context_characters": 5074, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "2f23c78156d2fe78eeb3c358300ebfc333e53fce39d81e23d6b279a9e81d792d", "output_tokens": 136, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"pydicom/util/codify.py\",\n \"old\": \" # Code the sequence item\\n code_item = code_dataset(ds, ds_name, exclude_size, include_private)\\n lines.append(code_item)\",\n \"new\": \" # Code the sequence item\\n code_item = code_dataset(ds, ds_name, exclude_size, include_private)\\n lines.append(code_item)\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7110515200, "peak_gpu_reserved_bytes": 7293894656, "seconds": 14.775457201000336, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 1951, "context_characters": 5074, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "03033b15c9f6a2b5e709f6aa64908dee56e2a22141a4492a514b43d467e6c945", "output_tokens": 136, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"pydicom/util/codify.py\",\n \"old\": \" # Code the sequence item\\n code_item = code_dataset(ds, ds_name, exclude_size, include_private)\\n lines.append(code_item)\",\n \"new\": \" # Code the sequence item\\n code_item = code_dataset(ds, ds_name, exclude_size, include_private)\\n lines.append(code_item)\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7166177280, "peak_gpu_reserved_bytes": 7268728832, "seconds": 14.610189261999949, "validation_error": "return one JSON object without fences or prose"}], "seconds": 29.47335634000001} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1413.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1413.graph.json new file mode 100644 index 0000000..70dc0fd --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1413.graph.json @@ -0,0 +1 @@ +{"instance_id": "pydicom__pydicom-1413", "arm": "graph", "patch": "", "source_snapshot_sha256": "69cbb2256b01cca2ee3b024aad655282183b7e5fb436d0408a28b22504fb9672", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2617, "context_characters": 7923, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "fbad72561eaaaeb5a12fef19cbbd264c61f61bf9488c5625b51b9705ebeddd9c", "output_tokens": 15, "response": "```json\n{\n\"edits\":[]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7425193984, "peak_gpu_reserved_bytes": 7652507648, "seconds": 2.808404333999988, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2661, "context_characters": 7923, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "f34f7c6ae90043040ea7810b78919d08380beca764c9d04bf7f1a0baeee022c5", "output_tokens": 15, "response": "```json\n{\n\"edits\":[]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7444801536, "peak_gpu_reserved_bytes": 7673479168, "seconds": 2.8157206299997597, "validation_error": "return one JSON object without fences or prose"}], "seconds": 5.705464985999697} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1694.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1694.bm25.json new file mode 100644 index 0000000..9ef05a4 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1694.bm25.json @@ -0,0 +1 @@ +{"instance_id": "pydicom__pydicom-1694", "arm": "bm25", "patch": "", "source_snapshot_sha256": "c5a56593d24ba14f096050cce73d69b62537d8c996dfed2e3c8dccf18f966cf2", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2135, "context_characters": 5214, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "e8f89e7629bee3c199c06116a93d5c0d1f2c23a85a8221f5c917d300477fbf94", "output_tokens": 323, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"pydicom/dataset.py\",\n \"old\": \" for key in self.keys():\\n json_key = '{:08X}'.format(key)\\n data_element = self[key]\\n try:\\n json_dataset[json_key] = data_element.to_json_dict(\\n bulk_data_element_handler=bulk_data_element_handler,\\n bulk_data_threshold=bulk_data_threshold\\n )\\n except Exception as exc:\\n logger.error(f\\\"Error while processing tag {json_key}\\\")\\n if not suppress_invalid_tags:\\n raise exc\",\n \"new\": \" for key in self.keys():\\n json_key = '{:08X}'.format(key)\\n try:\\n data_element = self[key]\\n json_dataset[json_key] = data_element.to_json_dict(\\n bulk_data_element_handler=bulk_data_element_handler,\\n bulk_data_threshold=bulk_data_threshold\\n )\\n except Exception as exc:\\n logger.error(f\\\"Error while processing tag {json_key}\\\")\\n if not suppress_invalid_tags:\\n raise exc\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7232326656, "peak_gpu_reserved_bytes": 7449083904, "seconds": 33.50276332600015, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2487, "context_characters": 5214, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "713b16847d33db55c216ae17c6099d26b5c3c1024363cfdf04b9acfeb4be6d9c", "output_tokens": 323, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"pydicom/dataset.py\",\n \"old\": \" for key in self.keys():\\n json_key = '{:08X}'.format(key)\\n data_element = self[key]\\n try:\\n json_dataset[json_key] = data_element.to_json_dict(\\n bulk_data_element_handler=bulk_data_element_handler,\\n bulk_data_threshold=bulk_data_threshold\\n )\\n except Exception as exc:\\n logger.error(f\\\"Error while processing tag {json_key}\\\")\\n if not suppress_invalid_tags:\\n raise exc\",\n \"new\": \" for key in self.keys():\\n json_key = '{:08X}'.format(key)\\n try:\\n data_element = self[key]\\n json_dataset[json_key] = data_element.to_json_dict(\\n bulk_data_element_handler=bulk_data_element_handler,\\n bulk_data_threshold=bulk_data_threshold\\n )\\n except Exception as exc:\\n logger.error(f\\\"Error while processing tag {json_key}\\\")\\n if not suppress_invalid_tags:\\n raise exc\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7370831872, "peak_gpu_reserved_bytes": 7595884544, "seconds": 34.36461776000033, "validation_error": "return one JSON object without fences or prose"}], "seconds": 67.94607848399983} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1694.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1694.graph.json new file mode 100644 index 0000000..4994e57 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-1694.graph.json @@ -0,0 +1 @@ +{"instance_id": "pydicom__pydicom-1694", "arm": "graph", "patch": "", "source_snapshot_sha256": "c5a56593d24ba14f096050cce73d69b62537d8c996dfed2e3c8dccf18f966cf2", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2853, "context_characters": 7999, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "057c39d10cf878fddcdf89306e6bbb0cebd8ead0533087962c3b67cfaa7cbf85", "output_tokens": 323, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"pydicom/dataset.py\",\n \"old\": \" for key in self.keys():\\n json_key = '{:08X}'.format(key)\\n data_element = self[key]\\n try:\\n json_dataset[json_key] = data_element.to_json_dict(\\n bulk_data_element_handler=bulk_data_element_handler,\\n bulk_data_threshold=bulk_data_threshold\\n )\\n except Exception as exc:\\n logger.error(f\\\"Error while processing tag {json_key}\\\")\\n if not suppress_invalid_tags:\\n raise exc\",\n \"new\": \" for key in self.keys():\\n json_key = '{:08X}'.format(key)\\n data_element = self[key]\\n try:\\n json_dataset[json_key] = data_element.to_json_dict(\\n bulk_data_element_handler=bulk_data_element_handler,\\n bulk_data_threshold=bulk_data_threshold\\n )\\n except Exception as exc:\\n logger.error(f\\\"Error while processing tag {json_key}\\\")\\n if not suppress_invalid_tags:\\n raise exc\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7531577856, "peak_gpu_reserved_bytes": 7753170944, "seconds": 34.71143829000039, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 3205, "context_characters": 7999, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "1787c1dd514572a60a7c591c93309c94e1498818eefb6edadc4ac24df4c1ebdc", "output_tokens": 323, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"pydicom/dataset.py\",\n \"old\": \" for key in self.keys():\\n json_key = '{:08X}'.format(key)\\n data_element = self[key]\\n try:\\n json_dataset[json_key] = data_element.to_json_dict(\\n bulk_data_element_handler=bulk_data_element_handler,\\n bulk_data_threshold=bulk_data_threshold\\n )\\n except Exception as exc:\\n logger.error(f\\\"Error while processing tag {json_key}\\\")\\n if not suppress_invalid_tags:\\n raise exc\",\n \"new\": \" for key in self.keys():\\n json_key = '{:08X}'.format(key)\\n data_element = self[key]\\n try:\\n json_dataset[json_key] = data_element.to_json_dict(\\n bulk_data_element_handler=bulk_data_element_handler,\\n bulk_data_threshold=bulk_data_threshold\\n )\\n except Exception as exc:\\n logger.error(f\\\"Error while processing tag {json_key}\\\")\\n if not suppress_invalid_tags:\\n raise exc\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7703109632, "peak_gpu_reserved_bytes": 7973371904, "seconds": 34.80090381500031, "validation_error": "return one JSON object without fences or prose"}], "seconds": 69.59748436200016} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-901.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-901.bm25.json new file mode 100644 index 0000000..424d1ea --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-901.bm25.json @@ -0,0 +1 @@ +{"instance_id": "pydicom__pydicom-901", "arm": "bm25", "patch": "", "source_snapshot_sha256": "a771a6bfd2154886c83c52d488534ef7374e560efa758872befcf0c26689798f", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2004, "context_characters": 6024, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "354ff11facbfd1eb8d2d91986e9bbef1514857308d9c7909200db6215f060bbd", "output_tokens": 11, "response": "```json\n{\"edits\":[]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7183940608, "peak_gpu_reserved_bytes": 7285506048, "seconds": 2.0149639170003866, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2044, "context_characters": 6024, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "947b9aafedce60af11896e85b9c9d407d5a17640ebf6d080b1d1fc950dbeeb6d", "output_tokens": 11, "response": "```json\n{\"edits\":[]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7197890048, "peak_gpu_reserved_bytes": 7291797504, "seconds": 1.8061631069999748, "validation_error": "return one JSON object without fences or prose"}], "seconds": 3.891761638999924} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-901.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-901.graph.json new file mode 100644 index 0000000..04b89aa --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pydicom__pydicom-901.graph.json @@ -0,0 +1 @@ +{"instance_id": "pydicom__pydicom-901", "arm": "graph", "patch": "", "source_snapshot_sha256": "a771a6bfd2154886c83c52d488534ef7374e560efa758872befcf0c26689798f", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2693, "context_characters": 7994, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "61924fdcb2bcb60abd7243eee46ac22b79dff02881a2ccb26af264a0d0fadaf1", "output_tokens": 347, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"pydicom/config.py\",\n \"old\": \"def debug(debug_on=True):\\n \\\"\\\"\\\"Turn debugging of DICOM file reading and writing on or off.\\n When debugging is on, file location and details about the\\n elements read at that location are logged to the 'pydicom'\\n logger using python's logging module.\\n\\n :param debug_on: True (default) to turn on debugging,\\n False to turn off.\\n \\\"\\\"\\\"\\n global logger, debugging\\n if debug_on:\\n logger.setLevel(logging.DEBUG)\\n debugging = True\\n else:\\n logger.setLevel(logging.WARNING)\\n debugging = False\",\n \"new\": \"def debug(debug_on=True):\\n \\\"\\\"\\\"Turn debugging of DICOM file reading and writing on or off.\\n When debugging is on, file location and details about the\\n elements read at that location are logged to the 'pydicom'\\n logger using python's logging module.\\n\\n :param debug_on: True (default) to turn on debugging,\\n False to turn off.\\n \\\"\\\"\\\"\\n global logger, debugging\\n if debug_on:\\n logger.setLevel(logging.DEBUG)\\n debugging = True\\n else:\\n logger.setLevel(logging.WARNING)\\n debugging = False\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7460821504, "peak_gpu_reserved_bytes": 7692353536, "seconds": 36.750898910999695, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 3069, "context_characters": 7994, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "66959d4749ef5f3f425fee42c7ed88aefe0bd71a173b0582effa546bfdf31677", "output_tokens": 347, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"pydicom/config.py\",\n \"old\": \"def debug(debug_on=True):\\n \\\"\\\"\\\"Turn debugging of DICOM file reading and writing on or off.\\n When debugging is on, file location and details about the\\n elements read at that location are logged to the 'pydicom'\\n logger using python's logging module.\\n\\n :param debug_on: True (default) to turn on debugging,\\n False to turn off.\\n \\\"\\\"\\\"\\n global logger, debugging\\n if debug_on:\\n logger.setLevel(logging.DEBUG)\\n debugging = True\\n else:\\n logger.setLevel(logging.WARNING)\\n debugging = False\",\n \"new\": \"def debug(debug_on=True):\\n \\\"\\\"\\\"Turn debugging of DICOM file reading and writing on or off.\\n When debugging is on, file location and details about the\\n elements read at that location are logged to the 'pydicom'\\n logger using python's logging module.\\n\\n :param debug_on: True (default) to turn on debugging,\\n False to turn off.\\n \\\"\\\"\\\"\\n global logger, debugging\\n if debug_on:\\n logger.setLevel(logging.DEBUG)\\n debugging = True\\n else:\\n logger.setLevel(logging.WARNING)\\n debugging = False\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7634244608, "peak_gpu_reserved_bytes": 7899971584, "seconds": 36.502340496000215, "validation_error": "return one JSON object without fences or prose"}], "seconds": 73.32384373700006} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1196.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1196.bm25.json new file mode 100644 index 0000000..a56cc35 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1196.bm25.json @@ -0,0 +1 @@ +{"instance_id": "pylint-dev__astroid-1196", "arm": "bm25", "patch": "", "source_snapshot_sha256": "d5ae0ee508b525f70ff8a4905c4e1c3c85f2f82c4fb33f47989817d763168b8f", "status": "error", "error": "output hit the fixed generation limit; use fewer smaller edits", "steps": [{"input_tokens": 1720, "context_characters": 4694, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "671f99f6d353f13c39d54feb9a5c9d185deb7f131c0077e364858f8ee6fd7d7c", "output_tokens": 1024, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"astroid/nodes/scoped_nodes/scoped_nodes.py\",\n \"old\": \" def igetattr(self, name, context=None, class_context=True):\\n \\\"\\\"\\\"Infer the possible values of the given variable.\\n\\n :param name: The name of the variable to infer.\\n :type name: str\\n\\n :returns: The inferred possible values.\\n :rtype: iterable(NodeNG or Uninferable)\\n \\\"\\\"\\\"\\n # set lookup name since this is necessary to infer on import nodes for\\n # instance\\n context = copy_context(context)\\n context.lookupname = name\\n\\n metaclass = self.metaclass(context=context)\\n try:\\n attributes = self.getattr(name, context, class_context=class_context)\\n # If we have more than one attribute, make sure that those starting from\\n # the second one are from the same scope. This is to account for modifications\\n # to the attribute happening *after* the attribute's definition (e.g. AugAssigns on lists)\\n if len(attributes) > 1:\\n first_attr, attributes = attributes[0], attributes[1:]\\n first_scope = first_attr.scope()\\n attributes = [first_attr] + [\n attr\\n for attr in attributes\\n if attr.parent and attr.parent.scope() == first_scope\\n ]\\n\\n for inferred in bases._infer_stmts(attributes, context, frame=self):\\n # yield Uninferable object instead of descriptors when necessary\\n if not isinstance(inferred, node_classes.Const) and isinstance(\\n inferred, bases.Instance\\n ):\\n try:\\n inferred._proxied.getattr(\\\"__get__\\\", context)\\n except AttributeInferenceError:\\n yield inferred\\n else:\\n yield util.Uninferable\\n elif isinstance(inferred, objects.Property):\\n function = inferred.function\\n if not class_context:\\n # Through an instance so we can solve the property\\n yield from function.infer_call_result(\\n caller=self, context=context\\n )\\n # If we're in a class context, we need to determine if the property\\n # was defined in the metaclass (a derived class must be a subclass of\\n # the metaclass of all its bases), in which case we can resolve the\\n # property. If not, i.e. the property is defined in some base class\\n # instead, then we return the property object\\n elif metaclass and function.parent.scope() is metaclass:\\n # Resolve a property as long as it is not accessed through\\n # the class itself.\\n yield from function.infer_call_result(\\n caller=self, context=context\\n )\\n else:\\n yield inferred\\n else:\\n yield function_to_method(inferred, self)\\n except AttributeInferenceError as error:\\n if not name.startswith(\\\"__\\\") and self.has_dynamic_getattr(context):\\n # class handle some dynamic attributes, return a Uninferable object\\n yield util.Uninferable\\n else:\\n raise InferenceError(\\n str(error), target=self, attribute=name, context=context\\n ) from error\",\n \"new\": \" def igetattr(self, name, context=None, class_context=True):\\n \\\"\\\"\\\"Infer the possible values of the given variable.\\n\\n :param name: The name of the variable to infer.\\n :type name: str\\n\\n :returns: The inferred possible values.\\n :rtype: iterable(NodeNG or Uninferable)\\n \\\"\\\"\\\"\\n # set lookup name since this is necessary to infer on import nodes for\\n # instance\\n context = copy_context(context)\\n context.lookupname = name\\n\\n metaclass = self.metaclass(context=context)\\n try:\\n attributes = self.getattr(name, context, class_context=class_context)\\n # If we have more than one attribute, make sure that those starting from\\n # the second one are from the same scope. This is to account for modifications", "output_limit": true, "peak_gpu_allocated_bytes": 7088987648, "peak_gpu_reserved_bytes": 7275020288, "seconds": 103.5777033469999, "validation_error": "output hit the fixed generation limit; use fewer smaller edits"}, {"input_tokens": 2777, "context_characters": 4694, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "3dc79b89517f449ad472fc10a8958dc0a5ac752dad13035ec4fc3391befc9aa8", "output_tokens": 1024, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"astroid/nodes/scoped_nodes/scoped_nodes.py\",\n \"old\": \" def igetattr(self, name, context=None, class_context=True):\\n \\\"\\\"\\\"Infer the possible values of the given variable.\\n\\n :param name: The name of the variable to infer.\\n :type name: str\\n\\n :returns: The inferred possible values.\\n :rtype: iterable(NodeNG or Uninferable)\\n \\\"\\\"\\\"\\n # set lookup name since this is necessary to infer on import nodes for\\n # instance\\n context = copy_context(context)\\n context.lookupname = name\\n\\n metaclass = self.metaclass(context=context)\\n try:\\n attributes = self.getattr(name, context, class_context=class_context)\\n # If we have more than one attribute, make sure that those starting from\\n # the second one are from the same scope. This is to account for modifications\\n # to the attribute happening *after* the attribute's definition (e.g. AugAssigns on lists)\\n if len(attributes) > 1:\\n first_attr, attributes = attributes[0], attributes[1:]\\n first_scope = first_attr.scope()\\n attributes = [first_attr] + [\n attr\\n for attr in attributes\\n if attr.parent and attr.parent.scope() == first_scope\\n ]\\n\\n for inferred in bases._infer_stmts(attributes, context, frame=self):\\n # yield Uninferable object instead of descriptors when necessary\\n if not isinstance(inferred, node_classes.Const) and isinstance(\\n inferred, bases.Instance\\n ):\\n try:\\n inferred._proxied.getattr(\\\"__get__\\\", context)\\n except AttributeInferenceError:\\n yield inferred\\n else:\\n yield util.Uninferable\\n elif isinstance(inferred, objects.Property):\\n function = inferred.function\\n if not class_context:\\n # Through an instance so we can solve the property\\n yield from function.infer_call_result(\\n caller=self, context=context\\n )\\n # If we're in a class context, we need to determine if the property\\n # was defined in the metaclass (a derived class must be a subclass of\\n # the metaclass of all its bases), in which case we can resolve the\\n # property. If not, i.e. the property is defined in some base class\\n # instead, then we return the property object\\n elif metaclass and function.parent.scope() is metaclass:\\n # Resolve a property as long as it is not accessed through\\n # the class itself.\\n yield from function.infer_call_result(\\n caller=self, context=context\\n )\\n else:\\n yield inferred\\n else:\\n yield function_to_method(inferred, self)\\n except AttributeInferenceError as error:\\n if not name.startswith(\\\"__\\\") and self.has_dynamic_getattr(context):\\n # class handle some dynamic attributes, return a Uninferable object\\n yield util.Uninferable\\n else:\\n raise InferenceError(\\n str(error), target=self, attribute=name, context=context\\n ) from error\",\n \"new\": \" def igetattr(self, name, context=None, class_context=True):\\n \\\"\\\"\\\"Infer the possible values of the given variable.\\n\\n :param name: The name of the variable to infer.\\n :type name: str\\n\\n :returns: The inferred possible values.\\n :rtype: iterable(NodeNG or Uninferable)\\n \\\"\\\"\\\"\\n # set lookup name since this is necessary to infer on import nodes for\\n # instance\\n context = copy_context(context)\\n context.lookupname = name\\n\\n metaclass = self.metaclass(context=context)\\n try:\\n attributes = self.getattr(name, context, class_context=class_context)\\n # If we have more than one attribute, make sure that those starting from\\n # the second one are from the same scope. This is to account for modifications", "output_limit": true, "peak_gpu_allocated_bytes": 7497367552, "peak_gpu_reserved_bytes": 7723810816, "seconds": 104.63214797299997, "validation_error": "output hit the fixed generation limit; use fewer smaller edits"}], "seconds": 208.27743375299997} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1196.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1196.graph.json new file mode 100644 index 0000000..6b46344 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1196.graph.json @@ -0,0 +1 @@ +{"instance_id": "pylint-dev__astroid-1196", "arm": "graph", "patch": "", "source_snapshot_sha256": "d5ae0ee508b525f70ff8a4905c4e1c3c85f2f82c4fb33f47989817d763168b8f", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2658, "context_characters": 7739, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "3735333ef7ad066a358dae0bb822259bdf1eccfdfc37e6dbb4401d5285b05ff9", "output_tokens": 176, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"astroid/nodes/node_classes.py\",\n \"old\": \" if members and isinstance(members, node_classes.Dict):\\n for attr, value in members.items:\\n if isinstance(attr, node_classes.Const) and isinstance(attr.value, str):\\n result.locals[attr.value] = [value]\",\n \"new\": \" if members and isinstance(members, node_classes.Dict):\\n for attr, value in members.items:\\n if isinstance(attr, node_classes.Const) and isinstance(attr.value, str):\\n result.locals[attr.value] = [value]\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7444429824, "peak_gpu_reserved_bytes": 7667187712, "seconds": 19.03096033799966, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2863, "context_characters": 7739, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "5f4cc795a930a4f604437b12587ef14f8c992bb9537e6e6653cf37ac253393c5", "output_tokens": 180, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"astroid/nodes/scoped_nodes/scoped_nodes.py\",\n \"old\": \" if members and isinstance(members, node_classes.Dict):\\n for attr, value in members.items:\\n if isinstance(attr, node_classes.Const) and isinstance(attr.value, str):\\n result.locals[attr.value] = [value]\",\n \"new\": \" if members and isinstance(members, node_classes.Dict):\\n for attr, value in members.items:\\n if isinstance(attr, node_classes.Const) and isinstance(attr.value, str):\\n result.locals[attr.value] = [value]\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7538660864, "peak_gpu_reserved_bytes": 7755268096, "seconds": 19.743835687000228, "validation_error": "return one JSON object without fences or prose"}], "seconds": 38.83735369899978} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1268.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1268.bm25.json new file mode 100644 index 0000000..257e3de --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1268.bm25.json @@ -0,0 +1 @@ +{"instance_id": "pylint-dev__astroid-1268", "arm": "bm25", "patch": "", "source_snapshot_sha256": "dd502f212c9b89e3c27adc3341c3a400f604495983f73eb1296717a135f705a9", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2063, "context_characters": 4624, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "18dbe27be51d27298b8a3c052387cb4ed1cfd78c46b2aaee4e367e46d7d44edc", "output_tokens": 115, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"astroid/nodes/node_ng.py\",\n \"old\": \"func = getattr(visitor, \\\"visit_\\\" + self.__class__.__name__.lower())\",\n \"new\": \"func = getattr(visitor, \\\"visit_\\\" + self.__class__.__name__.lower()) if self.__class__.__name__.lower() not in ('unknown', 'as_string') else None\"\n }\n }\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7206322176, "peak_gpu_reserved_bytes": 7331643392, "seconds": 12.694259687999875, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2207, "context_characters": 4624, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "c6c4e7a04cf43be34e41f72f751bdf7a397c06f39d3bf5db74fdfca92ac56b9a", "output_tokens": 115, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"astroid/nodes/node_ng.py\",\n \"old\": \"func = getattr(visitor, \\\"visit_\\\" + self.__class__.__name__.lower())\",\n \"new\": \"func = getattr(visitor, \\\"visit_\\\" + self.__class__.__name__.lower()) if self.__class__.__name__.lower() not in ('unknown', 'as_string') else None\"\n }\n }\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7257730048, "peak_gpu_reserved_bytes": 7363100672, "seconds": 12.607893607000733, "validation_error": "return one JSON object without fences or prose"}], "seconds": 25.351073748999625} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1268.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1268.graph.json new file mode 100644 index 0000000..73e55b4 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1268.graph.json @@ -0,0 +1 @@ +{"instance_id": "pylint-dev__astroid-1268", "arm": "graph", "patch": "", "source_snapshot_sha256": "dd502f212c9b89e3c27adc3341c3a400f604495983f73eb1296717a135f705a9", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 1880, "context_characters": 4060, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "3b6e530b7a1d66118809b54c575c635c1b6164b3a554ec11656b0c71655b046d", "output_tokens": 94, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"astroid/nodes/node_ng.py\",\n \"old\": \"func = getattr(visitor, \\\"visit_\\\" + self.__class__.__name__.lower())\",\n \"new\": \"func = getattr(visitor, \\\"visit_\\\" + self.__class__.__name__.lower())\"\n }\n }\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7143496704, "peak_gpu_reserved_bytes": 7247757312, "seconds": 10.015196034000382, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2003, "context_characters": 4060, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "e3dd9922f0e73c6b675109d448a45dbf9059735e11ec3bbce4540c2d1e392ff9", "output_tokens": 94, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"astroid/nodes/node_ng.py\",\n \"old\": \"func = getattr(visitor, \\\"visit_\\\" + self.__class__.__name__.lower())\",\n \"new\": \"func = getattr(visitor, \\\"visit_\\\" + self.__class__.__name__.lower())\"\n }\n }\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7183659520, "peak_gpu_reserved_bytes": 7285506048, "seconds": 10.61620228000038, "validation_error": "return one JSON object without fences or prose"}], "seconds": 20.704572945999644} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1333.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1333.bm25.json new file mode 100644 index 0000000..f7ffa0e --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1333.bm25.json @@ -0,0 +1 @@ +{"instance_id": "pylint-dev__astroid-1333", "arm": "bm25", "patch": "", "source_snapshot_sha256": "dad47120f711e18924ee12ef31797ebd6e2ca3ea1bae9fcffdc17793aa7c8a20", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2157, "context_characters": 4624, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "952c2beb864dc4a3624bccfdeb366e26f9f5de4a302d65c0ecaecb707264a25d", "output_tokens": 121, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"astroid/modutils.py\",\n \"old\": \" # check for __init__.py\\n if not list_all and \\\"__init__.py\\\" not in filenames:\\n dirnames[:] = ()\",\n \"new\": \" # check for __init__.py\\n if not list_all and \\\"__init__.py\\\" not in filenames:\\n dirnames[:] = ()\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7238911488, "peak_gpu_reserved_bytes": 7346323456, "seconds": 13.35334777099979, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2307, "context_characters": 4624, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "cd964c1dda3519081cff89c550aafa13f7b39abe8f80026556af9c3081706662", "output_tokens": 121, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"astroid/modutils.py\",\n \"old\": \" # check for __init__.py\\n if not list_all and \\\"__init__.py\\\" not in filenames:\\n dirnames[:] = ()\",\n \"new\": \" # check for __init__.py\\n if not list_all and \\\"__init__.py\\\" not in filenames:\\n dirnames[:] = ()\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7298876416, "peak_gpu_reserved_bytes": 7514095616, "seconds": 13.442569996999737, "validation_error": "return one JSON object without fences or prose"}], "seconds": 26.850239818000773} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1333.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1333.graph.json new file mode 100644 index 0000000..ad20cec --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1333.graph.json @@ -0,0 +1 @@ +{"instance_id": "pylint-dev__astroid-1333", "arm": "graph", "patch": "", "source_snapshot_sha256": "dad47120f711e18924ee12ef31797ebd6e2ca3ea1bae9fcffdc17793aa7c8a20", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2807, "context_characters": 7902, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "5f480005a7a47b65790b5700b983d9a82de1739b16da70156f1ace6b4f7f910f", "output_tokens": 65, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"package/file.py\",\n \"old\": \"import os\\n\\n\\n\",\n \"new\": \"import os\\n\\n\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7510029824, "peak_gpu_reserved_bytes": 7738490880, "seconds": 8.503429725999922, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2901, "context_characters": 7902, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "d9ad3a80442331190c45bdaa6adc3bab3d9983f84d14cb31b705b6b31c7d9af9", "output_tokens": 63, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"package/file.py\",\n \"old\": \"import os\\n\\n\\n\",\n \"new\": \"import os\\n\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7554957824, "peak_gpu_reserved_bytes": 7776239616, "seconds": 8.340042388000256, "validation_error": "return one JSON object without fences or prose"}], "seconds": 16.904951834000713} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1866.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1866.bm25.json new file mode 100644 index 0000000..ed00f54 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1866.bm25.json @@ -0,0 +1 @@ +{"instance_id": "pylint-dev__astroid-1866", "arm": "bm25", "patch": "", "source_snapshot_sha256": "7f2fa24be38062ba3cfbc68ee7b099a0a34bd515f8ce6fef82d27df6d61b7b4a", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2993, "context_characters": 7866, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "b7cff15c23322f940ae2ae9b509545116281b5ff5a9ea4f1532ae25202385b19", "output_tokens": 160, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"astroid/__init__.py\",\n \"old\": \"from astroid.nodes import node_classes, scoped_nodes\\n\\n# isort: on\\n\\nfrom astroid.inference_tip import _inference_tip_cached, inference_tip\\nfrom astroid.objects import ExceptionInstance\",\n \"new\": \"from astroid.nodes import node_classes, scoped_nodes\\n\\n# isort: on\\n\\nfrom astroid.inference_tip import _inference_tip_cached, inference_tip\\nfrom astroid.objects import ExceptionInstance\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7598534144, "peak_gpu_reserved_bytes": 7853834240, "seconds": 17.899791612999252, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 3182, "context_characters": 7866, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "c27592dc58a3356a8d8147b91994a8bbd885bcafa8fdd598dc0774cc0fe08d55", "output_tokens": 160, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"astroid/__init__.py\",\n \"old\": \"from astroid.nodes import node_classes, scoped_nodes\\n\\n# isort: on\\n\\nfrom astroid.inference_tip import _inference_tip_cached, inference_tip\\nfrom astroid.objects import ExceptionInstance\",\n \"new\": \"from astroid.nodes import node_classes, scoped_nodes\\n\\n# isort: on\\n\\nfrom astroid.inference_tip import _inference_tip_cached, inference_tip\\nfrom astroid.objects import ExceptionInstance\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7690847744, "peak_gpu_reserved_bytes": 7964983296, "seconds": 17.850537725999857, "validation_error": "return one JSON object without fences or prose"}], "seconds": 35.81988368899965} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1866.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1866.graph.json new file mode 100644 index 0000000..2cbe1fa --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1866.graph.json @@ -0,0 +1 @@ +{"instance_id": "pylint-dev__astroid-1866", "arm": "graph", "patch": "", "source_snapshot_sha256": "7f2fa24be38062ba3cfbc68ee7b099a0a34bd515f8ce6fef82d27df6d61b7b4a", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2240, "context_characters": 4927, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "4e4da642f486873e6c992c8dff90fd4689c84a0daac19108fab958251fdd2cab", "output_tokens": 15, "response": "```json\n{\n\"edits\":[]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7271645184, "peak_gpu_reserved_bytes": 7379877888, "seconds": 2.2575366800001575, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2284, "context_characters": 4927, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "2dbd46ab9a7152b33cf6f5f62fb0c160daffedbdf40417cd10ddc9b1fb90c695", "output_tokens": 15, "response": "```json\n{\n\"edits\":[]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7290416640, "peak_gpu_reserved_bytes": 7421820928, "seconds": 2.355684045000089, "validation_error": "return one JSON object without fences or prose"}], "seconds": 4.667765868999595} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1978.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1978.bm25.json new file mode 100644 index 0000000..3a7d33e --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1978.bm25.json @@ -0,0 +1 @@ +{"instance_id": "pylint-dev__astroid-1978", "arm": "bm25", "patch": "", "source_snapshot_sha256": "b33e3552febe75f9191e19fbc9e4caff7c8bd70344aae4448b2c514b866fca99", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2073, "context_characters": 6477, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "d947e6a8bdbfba02aeaff7dc7bbee0317aa21ba3660fdbf3cc83972589844e42", "output_tokens": 11, "response": "```json\n{\"edits\":[]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7210588160, "peak_gpu_reserved_bytes": 7333740544, "seconds": 2.054979751999781, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2113, "context_characters": 6477, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "e8432a8bc586f63748deb8541ac0ac7aec18456688e95b769d8bf7d9d6afd0e8", "output_tokens": 11, "response": "```json\n{\"edits\":[]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7224788992, "peak_gpu_reserved_bytes": 7444889600, "seconds": 2.044669005000287, "validation_error": "return one JSON object without fences or prose"}], "seconds": 4.1555424110001695} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1978.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1978.graph.json new file mode 100644 index 0000000..34564b9 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pylint-dev__astroid-1978.graph.json @@ -0,0 +1 @@ +{"instance_id": "pylint-dev__astroid-1978", "arm": "graph", "patch": "", "source_snapshot_sha256": "b33e3552febe75f9191e19fbc9e4caff7c8bd70344aae4448b2c514b866fca99", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2717, "context_characters": 7729, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "af2ea5ea3695a4be43c287edcdf85c2ae54ab805c17c724a8f2271f0c9889de3", "output_tokens": 11, "response": "```json\n{\"edits\":[]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7469585408, "peak_gpu_reserved_bytes": 7700742144, "seconds": 2.51581754200015, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2757, "context_characters": 7729, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "fb231469e56c58aed9fe6f01eedd1ef5d1a9a2518983a98798a5abf61f362245", "output_tokens": 11, "response": "```json\n{\"edits\":[]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7488202240, "peak_gpu_reserved_bytes": 7715422208, "seconds": 2.7993859779999184, "validation_error": "return one JSON object without fences or prose"}], "seconds": 5.376641408000069} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pyvista__pyvista-4315.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pyvista__pyvista-4315.bm25.json new file mode 100644 index 0000000..454933e --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pyvista__pyvista-4315.bm25.json @@ -0,0 +1 @@ +{"instance_id": "pyvista__pyvista-4315", "arm": "bm25", "patch": "", "source_snapshot_sha256": "fd2f22d13e7cc724b223bd9c510fae9539ea0c1b2901c4c57550dfbb7f4358bf", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2078, "context_characters": 5214, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "91ebd204e2f7e9ba021bac206d5a1170ac6919c8bf0665d0bf07e80a2455095d", "output_tokens": 11, "response": "```json\n{\"edits\":[]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7212693504, "peak_gpu_reserved_bytes": 7333740544, "seconds": 1.887220480999531, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2118, "context_characters": 5214, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "b7b1f808412e51d78269714da1670df69cd57664ec67dda484b53444780e2bc6", "output_tokens": 11, "response": "```json\n{\"edits\":[]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7226430976, "peak_gpu_reserved_bytes": 7444889600, "seconds": 1.894948803999796, "validation_error": "return one JSON object without fences or prose"}], "seconds": 3.8518801589998475} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/pyvista__pyvista-4315.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/pyvista__pyvista-4315.graph.json new file mode 100644 index 0000000..38c0528 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/pyvista__pyvista-4315.graph.json @@ -0,0 +1 @@ +{"instance_id": "pyvista__pyvista-4315", "arm": "graph", "patch": "", "source_snapshot_sha256": "fd2f22d13e7cc724b223bd9c510fae9539ea0c1b2901c4c57550dfbb7f4358bf", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2868, "context_characters": 7825, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "4e4bdebca5967451a92c55323cbb09ffdcefdeed24a53f88ef4b809ea2ef7caa", "output_tokens": 11, "response": "```json\n{\"edits\":[]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7542799360, "peak_gpu_reserved_bytes": 7759462400, "seconds": 2.3450628020000295, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2908, "context_characters": 7825, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "05cb78630f99e6766bdf2df8007bebf3a42aa35bd80bf86d28174fb0de63bf5e", "output_tokens": 11, "response": "```json\n{\"edits\":[]}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7560749056, "peak_gpu_reserved_bytes": 7778336768, "seconds": 2.3500507170001583, "validation_error": "return one JSON object without fences or prose"}], "seconds": 4.803185085999758} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1517.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1517.bm25.json new file mode 100644 index 0000000..10d3665 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1517.bm25.json @@ -0,0 +1 @@ +{"instance_id": "sqlfluff__sqlfluff-1517", "arm": "bm25", "patch": "", "source_snapshot_sha256": "b4b8bf1ef26799e4849c9628b88d37414a014a5ff5a7281b3e568ff367008f3a", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2895, "context_characters": 6079, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "d2dbb19a052a13d5321a26e2cddf8af5530aef1f22305bdf9966a20807fffb2b", "output_tokens": 97, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/core/parser/helpers.py\",\n \"old\": \"RuntimeError: Dropped elements in sequence matching! 'select id from tbl;;' != ';'\",\n \"new\": \"RuntimeError: Dropped elements in sequence matching! 'select id from tbl;;' != ';'\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7551842816, "peak_gpu_reserved_bytes": 7767851008, "seconds": 11.601852867000161, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 3021, "context_characters": 6079, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "fd82bae8e0d87374777d112711e5f05300c6e357731bc4da30781d4b492222f9", "output_tokens": 97, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/core/parser/helpers.py\",\n \"old\": \"RuntimeError: Dropped elements in sequence matching! 'select id from tbl;;' != ';'\",\n \"new\": \"RuntimeError: Dropped elements in sequence matching! 'select id from tbl;;' != ';'\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7612200448, "peak_gpu_reserved_bytes": 7870611456, "seconds": 11.711746127999504, "validation_error": "return one JSON object without fences or prose"}], "seconds": 23.376590546000443} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1517.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1517.graph.json new file mode 100644 index 0000000..c8fa7f8 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1517.graph.json @@ -0,0 +1 @@ +{"instance_id": "sqlfluff__sqlfluff-1517", "arm": "graph", "patch": "", "source_snapshot_sha256": "b4b8bf1ef26799e4849c9628b88d37414a014a5ff5a7281b3e568ff367008f3a", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 3484, "context_characters": 7910, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "f422b42bc16f5bf01293472f63e82095e55ca85d4822da12d9862ea3b7b30102", "output_tokens": 105, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/core/parser/helpers.py\",\n \"old\": \"raise RuntimeError(\\nRuntimeError: Dropped elements in sequence matching! 'select id from tbl;;' != ';'\",\n \"new\": \"raise RuntimeError(\\nRuntimeError: Dropped elements in sequence matching! 'select id from tbl;;' != ';'\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7852803072, "peak_gpu_reserved_bytes": 8160018432, "seconds": 12.37441135500012, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 3618, "context_characters": 7910, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "b31a684fca8964094949a5bb7eb6c316516844b5f967aedba2d2994c24617d6e", "output_tokens": 105, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/core/parser/helpers.py\",\n \"old\": \"raise RuntimeError(\\nRuntimeError: Dropped elements in sequence matching! 'select id from tbl;;' != ';'\",\n \"new\": \"raise RuntimeError(\\nRuntimeError: Dropped elements in sequence matching! 'select id from tbl;;' != ';'\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7927245312, "peak_gpu_reserved_bytes": 8237613056, "seconds": 12.56254194399935, "validation_error": "return one JSON object without fences or prose"}], "seconds": 25.007681527000386} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1625.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1625.bm25.json new file mode 100644 index 0000000..f5ed668 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1625.bm25.json @@ -0,0 +1 @@ +{"instance_id": "sqlfluff__sqlfluff-1625", "arm": "bm25", "patch": "", "source_snapshot_sha256": "311bde19e91fba98945c307bcd82d4c372c454b4ea5544b4f9d2cbca18e8a624", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2026, "context_characters": 6792, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "cad7874e4977481ca6cca64b290bbc3f4cfe77ab809f97325092ee53c8841f4b", "output_tokens": 498, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/rules/L031.py\",\n \"old\": \" # Find all references to alias in select clause\\n alias_name = alias_info.alias_identifier_ref.raw\\n for alias_with_column in select_clause.recursive_crawl(\\\"object_reference\\\"):\\n used_alias_ref = alias_with_column.get_child(\\\"identifier\\\")\\n if used_alias_ref and used_alias_ref.raw == alias_name:\\n ids_refs.append(used_alias_ref)\\n\\n # Find all references to alias in column references\\n for exp_ref in column_reference_segments:\\n used_alias_ref = exp_ref.get_child(\\\"identifier\\\")\\n # exp_ref.get_child('dot') ensures that the column reference includes a table reference\\n if used_alias_ref.raw == alias_name and exp_ref.get_child(\\\"dot\\\"):\\n ids_refs.append(used_alias_ref)\",\n \"new\": \" # Find all references to alias in select clause\\n alias_name = alias_info.alias_identifier_ref.raw\\n for alias_with_column in select_clause.recursive_crawl(\\\"object_reference\\\"):\\n used_alias_ref = alias_with_column.get_child(\\\"identifier\\\")\\n if used_alias_ref and used_alias_ref.raw == alias_name:\\n ids_refs.append(used_alias_ref)\\n\\n # Find all references to alias in column references\\n for exp_ref in column_reference_segments:\\n used_alias_ref = exp_ref.get_child(\\\"identifier\\\")\\n # exp_ref.get_child('dot') ensures that the column reference includes a table reference\\n if used_alias_ref.raw == alias_name and exp_ref.get_child(\\\"dot\\\"):\\n ids_refs.append(used_alias_ref)\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7191584768, "peak_gpu_reserved_bytes": 7289700352, "seconds": 51.493721840000035, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2553, "context_characters": 6792, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "79c7c51cb044ed2f5d90c5df8c3d3b3166b9e0575066d320b005570c0c72d65c", "output_tokens": 498, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/rules/L031.py\",\n \"old\": \" # Find all references to alias in select clause\\n alias_name = alias_info.alias_identifier_ref.raw\\n for alias_with_column in select_clause.recursive_crawl(\\\"object_reference\\\"):\\n used_alias_ref = alias_with_column.get_child(\\\"identifier\\\")\\n if used_alias_ref and used_alias_ref.raw == alias_name:\\n ids_refs.append(used_alias_ref)\\n\\n # Find all references to alias in column references\\n for exp_ref in column_reference_segments:\\n used_alias_ref = exp_ref.get_child(\\\"identifier\\\")\\n # exp_ref.get_child('dot') ensures that the column reference includes a table reference\\n if used_alias_ref.raw == alias_name and exp_ref.get_child(\\\"dot\\\"):\\n ids_refs.append(used_alias_ref)\",\n \"new\": \" # Find all references to alias in select clause\\n alias_name = alias_info.alias_identifier_ref.raw\\n for alias_with_column in select_clause.recursive_crawl(\\\"object_reference\\\"):\\n used_alias_ref = alias_with_column.get_child(\\\"identifier\\\")\\n if used_alias_ref and used_alias_ref.raw == alias_name:\\n ids_refs.append(used_alias_ref)\\n\\n # Find all references to alias in column references\\n for exp_ref in column_reference_segments:\\n used_alias_ref = exp_ref.get_child(\\\"identifier\\\")\\n # exp_ref.get_child('dot') ensures that the column reference includes a table reference\\n if used_alias_ref.raw == alias_name and exp_ref.get_child(\\\"dot\\\"):\\n ids_refs.append(used_alias_ref)\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7398440960, "peak_gpu_reserved_bytes": 7618953216, "seconds": 51.79045963800036, "validation_error": "return one JSON object without fences or prose"}], "seconds": 103.3537884669995} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1625.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1625.graph.json new file mode 100644 index 0000000..7bfdb93 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1625.graph.json @@ -0,0 +1 @@ +{"instance_id": "sqlfluff__sqlfluff-1625", "arm": "graph", "patch": "", "source_snapshot_sha256": "311bde19e91fba98945c307bcd82d4c372c454b4ea5544b4f9d2cbca18e8a624", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2505, "context_characters": 7767, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "be756b6d0f1f0ccb1368a8ad75cb22ec1d2f4f695c57d787cd754f2fc3c6b1d0", "output_tokens": 164, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/rules/L031.py\",\n \"old\": \" # If this is self-join - skip it\\n if (\n base_table\n and base_table.raw == table_ref.raw\n and base_table != table_ref\n ):\n continue\",\n \"new\": \" # If this is self-join - skip it\\n if (\n base_table\n and base_table.raw == table_ref.raw\n and base_table != table_ref\n ):\n continue\\n\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7378037248, "peak_gpu_reserved_bytes": 7597981696, "seconds": 18.093233325000256, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2698, "context_characters": 7767, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "e2e48170eb1600a05cf93ad93cb5c97be3a679c59d4f1f230145526e66892a17", "output_tokens": 164, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/rules/L031.py\",\n \"old\": \" # If this is self-join - skip it\\n if (\n base_table\n and base_table.raw == table_ref.raw\n and base_table != table_ref\n ):\n continue\",\n \"new\": \" # If this is self-join - skip it\\n if (\n base_table\n and base_table.raw == table_ref.raw\n and base_table != table_ref\n ):\n continue\\n\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7463847936, "peak_gpu_reserved_bytes": 7694450688, "seconds": 17.759243583999705, "validation_error": "return one JSON object without fences or prose"}], "seconds": 35.9245994289995} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1733.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1733.bm25.json new file mode 100644 index 0000000..a1794a1 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1733.bm25.json @@ -0,0 +1 @@ +{"instance_id": "sqlfluff__sqlfluff-1733", "arm": "bm25", "patch": "", "source_snapshot_sha256": "5473f0d3223c9953253abee99ee32acf9376b6edceb08d7478a04bd0b0bfa654", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2305, "context_characters": 7055, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "8948f95c805742ffc7590950c25ae62bfca29e7e7516b6b3bbb26a046a95f36b", "output_tokens": 92, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/rules/L044.py\",\n \"old\": \" my_id,\n other_thing,\n one_more\",\n \"new\": \" my_id,\\n other_thing,\\n one_more\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7298535424, "peak_gpu_reserved_bytes": 7514095616, "seconds": 10.728299243000038, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2426, "context_characters": 7055, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "77c3bcc675d816639cd3dff7eb6313a850b44944f38917bf7cbc254dbb8a68ef", "output_tokens": 92, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/rules/L044.py\",\n \"old\": \" my_id,\n other_thing,\n one_more\",\n \"new\": \" my_id,\\n other_thing,\\n one_more\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7346825216, "peak_gpu_reserved_bytes": 7562330112, "seconds": 10.401170481000008, "validation_error": "return one JSON object without fences or prose"}], "seconds": 21.192861048999475} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1733.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1733.graph.json new file mode 100644 index 0000000..1a83df9 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1733.graph.json @@ -0,0 +1 @@ +{"instance_id": "sqlfluff__sqlfluff-1733", "arm": "graph", "patch": "", "source_snapshot_sha256": "5473f0d3223c9953253abee99ee32acf9376b6edceb08d7478a04bd0b0bfa654", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 3177, "context_characters": 7993, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "385ff55e64619b208855b36ad703ed12f2a5f98e225a647c6e3b8f2cca3f58b7", "output_tokens": 340, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"test/dialects/ansi_test.py\",\n \"old\": \"def test__dialect__ansi_is_whitespace():\\n \\\"\\\"\\\"Test proper tagging with is_whitespace.\\\"\\\"\\\"\\n lnt = Linter()\\n with open(\\\"test/fixtures/dialects/ansi/select_in_multiline_comment.sql\\\") as f:\\n parsed = lnt.parse_string(f.read())\\n # Check all the segments that *should* be whitespace, ARE\\n for raw_seg in parsed.tree.iter_raw_seg():\\n if raw_seg.is_type(\\\"whitespace\\\", \\\"newline\\\"):\\n assert raw_seg.is_whitespace\",\n \"new\": \"def test__dialect__ansi_is_whitespace():\\n \\\"\\\"\\\"Test proper tagging with is_whitespace.\\\"\\\"\\\"\\n lnt = Linter()\\n with open(\\\"test/fixtures/dialects/ansi/select_in_multiline_comment.sql\\\") as f:\\n parsed = lnt.parse_string(f.read())\\n # Check all the segments that *should* be whitespace, ARE\\n for raw_seg in parsed.tree.iter_raw_seg():\\n if raw_seg.is_type(\\\"whitespace\\\", \\\"newline\\\"):\\n assert raw_seg.is_whitespace\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7687476224, "peak_gpu_reserved_bytes": 7964983296, "seconds": 36.959854337999786, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 3546, "context_characters": 7993, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "5d3ef955df45d291b95e771bf8dabc588a4bc3e8d9a5166683beaef3f57cc170", "output_tokens": 340, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"test/dialects/ansi_test.py\",\n \"old\": \"def test__dialect__ansi_is_whitespace():\\n \\\"\\\"\\\"Test proper tagging with is_whitespace.\\\"\\\"\\\"\\n lnt = Linter()\\n with open(\\\"test/fixtures/dialects/ansi/select_in_multiline_comment.sql\\\") as f:\\n parsed = lnt.parse_string(f.read())\\n # Check all the segments that *should* be whitespace, ARE\\n for raw_seg in parsed.tree.iter_raw_seg():\\n if raw_seg.is_type(\\\"whitespace\\\", \\\"newline\\\"):\\n assert raw_seg.is_whitespace\",\n \"new\": \"def test__dialect__ansi_is_whitespace():\\n \\\"\\\"\\\"Test proper tagging with is_whitespace.\\\"\\\"\\\"\\n lnt = Linter()\\n with open(\\\"test/fixtures/dialects/ansi/select_in_multiline_comment.sql\\\") as f:\\n parsed = lnt.parse_string(f.read())\\n # Check all the segments that *should* be whitespace, ARE\\n for raw_seg in parsed.tree.iter_raw_seg():\\n if raw_seg.is_type(\\\"whitespace\\\", \\\"newline\\\"):\\n assert raw_seg.is_whitespace\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7885125632, "peak_gpu_reserved_bytes": 8199864320, "seconds": 36.69158556399998, "validation_error": "return one JSON object without fences or prose"}], "seconds": 73.7187449410003} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1763.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1763.bm25.json new file mode 100644 index 0000000..d40aae6 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1763.bm25.json @@ -0,0 +1 @@ +{"instance_id": "sqlfluff__sqlfluff-1763", "arm": "bm25", "patch": "", "source_snapshot_sha256": "fe97c9328ea3cac1ca3d5d64a2510dde2fb17c44d5acd512707e8707269aa3a4", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 3567, "context_characters": 7236, "issue_truncated": true, "context_truncated": false, "prompt_sha256": "37be0784b6ed6c474eeabf00d533d703bf3d141003d600b7dc2726ba17698a5d", "output_tokens": 285, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/cli/commands.py\",\n \"old\": \" try:\\n result = lnt.lint_paths(\\n paths,\\n ignore_non_existent_files=False,\\n ignore_files=not disregard_sqlfluffignores,\\n processes=processes,\\n )\\n except OSError:\\n click.echo(\\n colorize(\\n f\\\"The path(s) '{paths}' could not be accessed. Check it/they exist(s).\\\",\\n Color.red,\\n )\\n )\\n sys.exit(1)\",\n \"new\": \" try:\\n result = lnt.lint_paths(\\n paths,\\n ignore_non_existent_files=False,\\n ignore_files=not disregard_sqlfluffignores,\\n processes=processes,\\n )\\n except OSError:\\n click.echo(\\n colorize(\\n f\\\"The path(s) '{paths}' could not be accessed. Check it/they exist(s).\\\",\\n Color.red,\\n )\\n )\\n sys.exit(1)\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7895758848, "peak_gpu_reserved_bytes": 8214544384, "seconds": 31.556757487999676, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 3881, "context_characters": 7236, "issue_truncated": true, "context_truncated": false, "prompt_sha256": "9014efdffb72f60b455407f1d93b9cc81ce9102bfc8ec6776b8e39e6df8ae2f5", "output_tokens": 285, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/cli/commands.py\",\n \"old\": \" try:\\n result = lnt.lint_paths(\\n paths,\\n ignore_non_existent_files=False,\\n ignore_files=not disregard_sqlfluffignores,\\n processes=processes,\\n )\\n except OSError:\\n click.echo(\\n colorize(\\n f\\\"The path(s) '{paths}' could not be accessed. Check it/they exist(s).\\\",\\n Color.red,\\n )\\n )\\n sys.exit(1)\",\n \"new\": \" try:\\n result = lnt.lint_paths(\\n paths,\\n ignore_non_existent_files=False,\\n ignore_files=not disregard_sqlfluffignores,\\n processes=processes,\\n )\\n except OSError:\\n click.echo(\\n colorize(\\n f\\\"The path(s) '{paths}' could not be accessed. Check it/they exist(s).\\\",\\n Color.red,\\n )\\n )\\n sys.exit(1)\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 8081836544, "peak_gpu_reserved_bytes": 8380219392, "seconds": 31.304346132999854, "validation_error": "return one JSON object without fences or prose"}], "seconds": 62.94536751099986} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1763.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1763.graph.json new file mode 100644 index 0000000..16005a0 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-1763.graph.json @@ -0,0 +1 @@ +{"instance_id": "sqlfluff__sqlfluff-1763", "arm": "graph", "patch": "", "source_snapshot_sha256": "fe97c9328ea3cac1ca3d5d64a2510dde2fb17c44d5acd512707e8707269aa3a4", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 3837, "context_characters": 7977, "issue_truncated": true, "context_truncated": false, "prompt_sha256": "0ccc5c74fb76b9709158dc202bbddb9e2f129d66cde16c8eb31213c7a62bf98d", "output_tokens": 391, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"package/file.py\",\n \"old\": \"SELECT\\n reacted_table_name_right.descendant_id AS category_id,\\n string_agg(redacted_table_name_left.name, ' → ' ORDER BY reacted_table_name_right.generations DESC) AS breadcrumbs -- noqa\\nFROM {{ ref2('redacted_schema_name', 'redacted_table_name_left') }} AS redacted_table_name_left\\nINNER JOIN {{ ref2('redacted_schema_name', 'reacted_table_name_right') }} AS reacted_table_name_right\\n ON redacted_table_name_left.id = order_issue_category_hierarchies.ancestor_id\\nGROUP BY reacted_table_name_right.descendant_id\",\n \"new\": \"SELECT\\n reacted_table_name_right.descendant_id AS category_id,\\n string_agg(redacted_table_name_left.name, ' → ' ORDER BY reacted_table_name_right.generations DESC) AS breadcrumbs -- noqa\\nFROM {{ ref2('redacted_schema_name', 'redacted_table_name_left') }} AS redacted_table_name_left\\nINNER JOIN {{ ref2('redacted_schema_name', 'reacted_table_name_right') }} AS reacted_table_name_right\\n ON redacted_table_name_left.id = order_issue_category_hierarchies.ancestor_id\\nGROUP BY reacted_table_name_right.descendant_id\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 8058270720, "peak_gpu_reserved_bytes": 8348762112, "seconds": 42.356648938000035, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 4096, "context_characters": 7467, "issue_truncated": true, "context_truncated": true, "prompt_sha256": "5564b66206c5511e6b671d30508b8b75c4882c5aed7445fba7bd54343246c235", "output_tokens": 391, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"package/file.py\",\n \"old\": \"SELECT\\n reacted_table_name_right.descendant_id AS category_id,\\n string_agg(redacted_table_name_left.name, ' → ' ORDER BY reacted_table_name_right.generations DESC) AS breadcrumbs -- noqa\\nFROM {{ ref2('redacted_schema_name', 'redacted_table_name_left') }} AS redacted_table_name_left\\nINNER JOIN {{ ref2('redacted_schema_name', 'reacted_table_name_right') }} AS reacted_table_name_right\\n ON redacted_table_name_left.id = order_issue_category_hierarchies.ancestor_id\\nGROUP BY reacted_table_name_right.descendant_id\",\n \"new\": \"SELECT\\n reacted_table_name_right.descendant_id AS category_id,\\n string_agg(redacted_table_name_left.name, ' → ' ORDER BY reacted_table_name_right.generations DESC) AS breadcrumbs -- noqa\\nFROM {{ ref2('redacted_schema_name', 'redacted_table_name_left') }} AS redacted_table_name_left\\nINNER JOIN {{ ref2('redacted_schema_name', 'reacted_table_name_right') }} AS reacted_table_name_right\\n ON redacted_table_name_left.id = order_issue_category_hierarchies.ancestor_id\\nGROUP BY reacted_table_name_right.descendant_id\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 8213618688, "peak_gpu_reserved_bytes": 8510242816, "seconds": 41.62203215700083, "validation_error": "return one JSON object without fences or prose"}], "seconds": 84.14933627299979} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-2419.bm25.json b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-2419.bm25.json new file mode 100644 index 0000000..123fd56 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-2419.bm25.json @@ -0,0 +1 @@ +{"instance_id": "sqlfluff__sqlfluff-2419", "arm": "bm25", "patch": "", "source_snapshot_sha256": "3660102a0b441220823122276dfe41e7587c8c93b36fc7ddf7c8e9066fa1d00f", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 1760, "context_characters": 5614, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "e96cf2351e8cd1af1a8e9393b71d391b7f5c2683aa29c6d30710344a47b172de", "output_tokens": 229, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/rules/L060.py\",\n \"old\": \" # Create fix to replace ``IFNULL`` or ``NVL`` with ``COALESCE``.\\n fix = LintFix.replace(\\n context.segment,\\n [\\n CodeSegment(\\n raw=\\\"COALESCE\\\",\\n name=\\\"function_name_identifier\\\",\\n type=\\\"function_name_identifier\\\",\\n )\\n ],\\n )\",\n \"new\": \" # Create fix to replace ``IFNULL`` or ``NVL`` with ``COALESCE``.\\n fix = LintFix.replace(\\n context.segment,\\n [ \\n CodeSegment(\\n raw=\\\"COALESCE\\\",\\n name=\\\"function_name_identifier\\\",\\n type=\\\"function_name_identifier\\\",\\n )\\n ],\\n )\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7102651392, "peak_gpu_reserved_bytes": 7289700352, "seconds": 24.038370710999516, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2018, "context_characters": 5614, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "9175084f8dcdddd58699cffef7a2976136fbfd8df3fced6d9f157d22b9244975", "output_tokens": 229, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/rules/L060.py\",\n \"old\": \" # Create fix to replace ``IFNULL`` or ``NVL`` with ``COALESCE``.\\n fix = LintFix.replace(\\n context.segment,\\n [\\n CodeSegment(\\n raw=\\\"COALESCE\\\",\\n name=\\\"function_name_identifier\\\",\\n type=\\\"function_name_identifier\\\",\\n )\\n ],\\n )\",\n \"new\": \" # Create fix to replace ``IFNULL`` or ``NVL`` with ``COALESCE``.\\n fix = LintFix.replace(\\n context.segment,\\n [ \\n CodeSegment(\\n raw=\\\"COALESCE\\\",\\n name=\\\"function_name_identifier\\\",\\n type=\\\"function_name_identifier\\\",\\n )\\n ],\\n )\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7188033024, "peak_gpu_reserved_bytes": 7289700352, "seconds": 24.41051520400015, "validation_error": "return one JSON object without fences or prose"}], "seconds": 48.52285340000071} diff --git a/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-2419.graph.json b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-2419.graph.json new file mode 100644 index 0000000..d570982 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/attempts/sqlfluff__sqlfluff-2419.graph.json @@ -0,0 +1 @@ +{"instance_id": "sqlfluff__sqlfluff-2419", "arm": "graph", "patch": "", "source_snapshot_sha256": "3660102a0b441220823122276dfe41e7587c8c93b36fc7ddf7c8e9066fa1d00f", "status": "error", "error": "return one JSON object without fences or prose", "steps": [{"input_tokens": 2514, "context_characters": 7778, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "ee8d5c9bc347ea01bed4885aecdc9a7d64f49db83f00fb2c0012949b89466136", "output_tokens": 227, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/rules/L060.py\",\n \"old\": \" # Create fix to replace ``IFNULL`` or ``NVL`` with ``COALESCE``.\n fix = LintFix.replace(\\n context.segment,\\n [\\n CodeSegment(\\n raw=\\\"COALESCE\\\",\\n name=\\\"function_name_identifier\\\",\\n type=\\\"function_name_identifier\\\",\\n )\\n ],\\n )\",\n \"new\": \" # Create fix to replace ``IFNULL`` or ``NVL`` with ``COALESCE``.\\n fix = LintFix.replace(\\n context.segment,\\n [\\n CodeSegment(\\n raw=\\\"COALESCE\\\",\\n name=\\\"function_name_identifier\\\",\\n type=\\\"function_name_identifier\\\",\\n )\\n ],\\n )\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7379546624, "peak_gpu_reserved_bytes": 7604273152, "seconds": 24.299839596999846, "validation_error": "return one JSON object without fences or prose"}, {"input_tokens": 2770, "context_characters": 7778, "issue_truncated": false, "context_truncated": false, "prompt_sha256": "531a37ab4fb981aaa8cf12ca8534ed8cbb06d71870e6590fab8768e184a3cf94", "output_tokens": 227, "response": "```json\n{\n \"edits\": [\n {\n \"path\": \"src/sqlfluff/rules/L060.py\",\n \"old\": \" # Create fix to replace ``IFNULL`` or ``NVL`` with ``COALESCE``.\n fix = LintFix.replace(\\n context.segment,\\n [\\n CodeSegment(\\n raw=\\\"COALESCE\\\",\\n name=\\\"function_name_identifier\\\",\\n type=\\\"function_name_identifier\\\",\\n )\\n ],\\n )\",\n \"new\": \" # Create fix to replace ``IFNULL`` or ``NVL`` with ``COALESCE``.\\n fix = LintFix.replace(\\n context.segment,\\n [\\n CodeSegment(\\n raw=\\\"COALESCE\\\",\\n name=\\\"function_name_identifier\\\",\\n type=\\\"function_name_identifier\\\",\\n )\\n ],\\n )\"\n }\n ]\n}\n```", "output_limit": false, "peak_gpu_allocated_bytes": 7495917056, "peak_gpu_reserved_bytes": 7723810816, "seconds": 24.360049872000673, "validation_error": "return one JSON object without fences or prose"}], "seconds": 48.727481815999454} diff --git a/evaluation/t4-e2b-nf4-v2/original/manifest.json b/evaluation/t4-e2b-nf4-v2/original/manifest.json new file mode 100644 index 0000000..2e12236 --- /dev/null +++ b/evaluation/t4-e2b-nf4-v2/original/manifest.json @@ -0,0 +1,96 @@ +{ + "implementation_sha256": 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