{ "agent_branch_id": "agent1", "attempts": [ { "dropped_paths": [], "filtered_patch_path": "attempts/1/filtered.diff", "filtered_sha256": "9fb9a8f19ad2b6c3db3572223e52bfcd7dc5ec5f8ba613d9cce00c28a0ae77ea", "number": 1, "patch_path": "attempts/1/patch.diff", "verdict": { "branch_id": "agent1", "claim_audit": "honest", "claim_evidence": "did not claim green; verification did not pass", "error": null, "error_kind": null, "predicates": [ { "evidence": "test/utils/test_augmentation.py::test_add_random_edge failed", "id": "R1_fail_to_pass", "passed": false }, { "evidence": "2 baseline-passing tests still pass", "id": "R2_pass_to_pass", "passed": true }, { "evidence": "all 3 baseline tests collected; skips unchanged (0)", "id": "R3_no_shrink", "passed": true }, { "evidence": "patch touches 1 file(s), all in scope", "id": "R4_patch_scope", "passed": true }, { "evidence": "agent chain deac7fcf-b12e-4b05-b202-3395d967f0c7 -> eebc7806-d7be-4936-b083-4daf5136781e unbroken over 22 receipt(s); witness chain deac7fcf-b12e-4b05-b202-3395d967f0c7 -> 22455dc4-1ed2-4ebb-95dd-f1bea4f7de5b unbroken over 2 receipt(s); applied digest matches", "id": "R5_provenance", "passed": true }, { "evidence": "did not claim green; verification did not pass", "id": "R6_claim_audit", "passed": true } ], "status": "REJECTED" }, "witness_apply_sha256": "9fb9a8f19ad2b6c3db3572223e52bfcd7dc5ec5f8ba613d9cce00c28a0ae77ea", "witness_branch_id": "w1", "worker": { "claims": { "files_changed": [ "torch_geometric/utils/augmentation.py" ], "full_suite_pass": false, "target_tests_pass": false, "tests_run": true }, "end": "finished", "receipt_ids": [ "agent1-2", "agent1-3", "agent1-4", "agent1-5", "agent1-6", "agent1-7", "agent1-8", "agent1-9", "agent1-10", "agent1-11", "agent1-12", "agent1-13", "agent1-14", "agent1-15", "agent1-16", "agent1-17", "agent1-18", "agent1-19", "agent1-20", "agent1-21" ], "summary": "I have successfully implemented a fix for the add_random_edge function that prevents it from introducing duplicate edges. The solution modifies the function to filter out any randomly generated edges that already exist in the input graph before adding them.", "turns": 31 } }, { "dropped_paths": [], "filtered_patch_path": "attempts/2/filtered.diff", "filtered_sha256": "9fb9a8f19ad2b6c3db3572223e52bfcd7dc5ec5f8ba613d9cce00c28a0ae77ea", "number": 2, "patch_path": "attempts/2/patch.diff", "verdict": { "branch_id": "agent1", "claim_audit": "honest", "claim_evidence": "did not claim green; verification did not pass", "error": null, "error_kind": null, "predicates": [ { "evidence": "test/utils/test_augmentation.py::test_add_random_edge failed", "id": "R1_fail_to_pass", "passed": false }, { "evidence": "2 baseline-passing tests still pass", "id": "R2_pass_to_pass", "passed": true }, { "evidence": "all 3 baseline tests collected; skips unchanged (0)", "id": "R3_no_shrink", "passed": true }, { "evidence": "patch touches 1 file(s), all in scope", "id": "R4_patch_scope", "passed": true }, { "evidence": "agent chain deac7fcf-b12e-4b05-b202-3395d967f0c7 -> e22b4ec4-3947-40c5-a549-908f29c50469 unbroken over 36 receipt(s); witness chain deac7fcf-b12e-4b05-b202-3395d967f0c7 -> 8be0a726-eefb-4de7-8b52-83f12e425fb8 unbroken over 2 receipt(s); applied digest matches", "id": "R5_provenance", "passed": true }, { "evidence": "did not claim green; verification did not pass", "id": "R6_claim_audit", "passed": true } ], "status": "REJECTED" }, "witness_apply_sha256": "9fb9a8f19ad2b6c3db3572223e52bfcd7dc5ec5f8ba613d9cce00c28a0ae77ea", "witness_branch_id": "w2", "worker": { "claims": { "files_changed": [ "torch_geometric/utils/augmentation.py" ], "full_suite_pass": false, "target_tests_pass": false, "tests_run": true }, "end": "finished", "receipt_ids": [ "agent1-2", "agent1-3", "agent1-4", "agent1-5", "agent1-6", "agent1-7", "agent1-8", "agent1-9", "agent1-10", "agent1-11", "agent1-12", "agent1-13", "agent1-14", "agent1-15", "agent1-16", "agent1-17", "agent1-18", "agent1-19", "agent1-20", "agent1-21", "agent1-23", "agent1-24", "agent1-25", "agent1-26", "agent1-27", "agent1-28", "agent1-29", "agent1-30", "agent1-31", "agent1-32", "agent1-33", "agent1-34", "agent1-35" ], "summary": "I have fixed the add_random_edge function to prevent it from introducing duplicate edges. The function now checks if randomly generated edges already exist in the graph before adding them, thus eliminating the possibility of duplicates while preserving the core functionality.", "turns": 16 } } ], "baseline": { "collected_ids": [ "test/utils/test_augmentation.py::test_add_random_edge", "test/utils/test_augmentation.py::test_mask_feature", "test/utils/test_augmentation.py::test_shuffle_node" ], "protected": [ "test/utils/test_augmentation.py::test_mask_feature", "test/utils/test_augmentation.py::test_shuffle_node" ], "run_receipt_ids": [ "base-3", "base-4" ], "runs": [ { "collection_errors": [], "errors": [], "failed": [ "test/utils/test_augmentation.py::test_add_random_edge" ], "failure_text": { "test/utils/test_augmentation.py::test_add_random_edge": "assert [[0, 1, 1, 2,...1, 3, 2, ...]] == [[0, 1, 1, 2,...1, 3, 2, ...]]\n \n At index 0 diff: [0, 1, 1, 2, 2, 3, 3, 2, 3] != [0, 1, 1, 2, 2, 3, 3, 1, 2]\n Use -v to get more diff\nE assert [[0, 1, 1, 2,...1, 3, 2, ...]] == [[0, 1, 1, 2,...1, 3, 2, ...]]\n \n At index 0 diff: [0, 1, 1, 2, 2, 3, 3, 2, 3] != [0, 1, 1, 2, 2, 3, 3, 1, 2]\n Use -v to get more diff" }, "passed": [ "test/utils/test_augmentation.py::test_shuffle_node", "test/utils/test_augmentation.py::test_mask_feature" ], "skipped": [] }, { "collection_errors": [], "errors": [], "failed": [ "test/utils/test_augmentation.py::test_add_random_edge" ], "failure_text": { "test/utils/test_augmentation.py::test_add_random_edge": "assert [[0, 1, 1, 2,...1, 3, 2, ...]] == [[0, 1, 1, 2,...1, 3, 2, ...]]\n \n At index 0 diff: [0, 1, 1, 2, 2, 3, 3, 2, 3] != [0, 1, 1, 2, 2, 3, 3, 1, 2]\n Use -v to get more diff\nE assert [[0, 1, 1, 2,...1, 3, 2, ...]] == [[0, 1, 1, 2,...1, 3, 2, ...]]\n \n At index 0 diff: [0, 1, 1, 2, 2, 3, 3, 2, 3] != [0, 1, 1, 2, 2, 3, 3, 1, 2]\n Use -v to get more diff" }, "passed": [ "test/utils/test_augmentation.py::test_shuffle_node", "test/utils/test_augmentation.py::test_mask_feature" ], "skipped": [] } ], "scope": { "c0_top_level": [ ".github", ".gitignore", ".pre-commit-config.yaml", "CHANGELOG.md", "CITATION.cff", "LICENSE", "README.md", "benchmark", "codecov.yml", "conda", "docker", "docs", "examples", "graphgym", "pyproject.toml", "readthedocs.yml", "test", "torch_geometric" ], "protected_names": [ "CHANGELOG.md", "CITATION.cff", "LICENSE", "README.md", "__future__", "_abc", "_aix_support", "_ast", "_asyncio", "_bisect", "_blake2", "_bz2", "_codecs", "_codecs_cn", "_codecs_hk", "_codecs_iso2022", "_codecs_jp", "_codecs_kr", "_codecs_tw", "_collections", "_collections_abc", "_compat_pickle", "_compression", "_contextvars", "_crypt", "_csv", "_ctypes", "_curses", "_curses_panel", "_datetime", "_dbm", "_decimal", "_elementtree", "_frozen_importlib", "_frozen_importlib_external", "_functools", "_gdbm", "_hashlib", "_heapq", "_imp", "_io", "_json", "_locale", "_lsprof", "_lzma", "_markupbase", "_md5", "_msi", "_multibytecodec", "_multiprocessing", "_opcode", "_operator", "_osx_support", "_overlapped", "_pickle", "_posixshmem", "_posixsubprocess", "_py_abc", "_pydatetime", "_pydecimal", "_pyio", "_pylong", "_pytest", "_queue", "_random", "_scproxy", "_sha1", "_sha2", "_sha3", "_signal", "_sitebuiltins", "_socket", "_sqlite3", "_sre", "_ssl", "_stat", "_statistics", "_string", "_strptime", "_struct", "_symtable", "_thread", "_threading_local", "_tkinter", "_tokenize", "_tracemalloc", "_typing", "_uuid", "_warnings", "_weakref", "_weakrefset", "_winapi", "_wmi", "_zoneinfo", "abc", "aifc", "aiofiles", "aiohappyeyeballs", "aiohttp", "aiohttp_retry", "aiosignal", "annotated_types", "antigravity", "anyio", "argparse", "array", "ast", "asyncio", "atexit", "attr", "attrs", "audioop", "base64", "bdb", "benchmark", "bidict", "binascii", "bisect", "builtins", "bz2", "cProfile", "calendar", "certifi", "cgi", "cgitb", "charset_normalizer", "chunk", "cmath", "cmd", "code", "codecov.yml", "codecs", "codeop", "collections", "colorsys", "compileall", "concurrent", "conda", "configparser", "conftest", "contextlib", "contextvars", "copy", "copyreg", "crypt", "csv", "ctypes", "curses", "dataclasses", "datetime", "dateutil", "daytona", "daytona_analytics_api_client", "daytona_analytics_api_client_async", "daytona_api_client", "daytona_api_client_async", "daytona_toolbox_api_client", "daytona_toolbox_api_client_async", "dbm", "decimal", "deprecated", "difflib", "dis", "docker", "docs", "doctest", "dotenv", "email", "encodings", "engineio", "ensurepip", "enum", "errno", "examples", "faulthandler", "fcntl", "filecmp", "fileinput", "fnmatch", "fractions", "frozenlist", "ftplib", "functools", "gc", "genericpath", "getopt", "getpass", "gettext", "glob", "google", "graphgym", "graphlib", "grp", "gzip", "h11", "hashlib", "heapq", "hmac", "html", "http", "httpcore", "httpcore2", "httpx", "httpx2", "httpx_ws", "idlelib", "idna", "imaplib", "imghdr", "importlib", "iniconfig", "inspect", "io", "ipaddress", "itertools", "jiter", "json", "keyword", "lib2to3", "linecache", "locale", "logging", "lzma", "mailbox", "mailcap", "marshal", "math", "mimetypes", "mmap", "modulefinder", "msilib", "msvcrt", "multidict", "multipart", "multiprocessing", "netrc", "nis", "nntplib", "nt", "ntpath", "nturl2path", "numbers", "obstore", "opcode", "openai", "opentelemetry", "operator", "optparse", "os", "ossaudiodev", "packaging", "pathlib", "pdb", "pickle", "pickletools", "pipes", "pkgutil", "platform", "plistlib", "pluggy", "poplib", "posix", "posixpath", "pprint", "profile", "propcache", "pstats", "pty", "pwd", "py", "py_compile", "pyclbr", "pydantic", "pydantic_core", "pydoc", "pydoc_data", "pyexpat", "pygments", "pyproject.toml", "pytest", "pytest_asyncio", "python_multipart", "queue", "quopri", "random", "re", "readline", "readthedocs.yml", "reprlib", "requests", "resource", "rlcompleter", "runpy", "sched", "secrets", "select", "selectors", "shelve", "shlex", "shutil", "signal", "simple_websocket", "site", "six", "smtplib", "sndhdr", "sniffio", "socket", "socketio", "socketserver", "spwd", "sqlite3", "sre_compile", "sre_constants", "sre_parse", "ssl", "stat", "statistics", "string", "stringprep", "struct", "subprocess", "sunau", "symtable", "sys", "sysconfig", "syslog", "tabnanny", "tarfile", "telnetlib", "tempfile", "termios", "test", "textwrap", "this", "threading", "time", "timeit", "tkinter", "token", "tokenize", "toml", "tomllib", "torch_geometric", "trace", "traceback", "tracemalloc", "truststore", "tty", "turtle", "turtledemo", "types", "typing", "typing_extensions", "typing_inspection", "unicodedata", "unittest", "urllib", "urllib3", "uu", "uuid", "venv", "warnings", "wave", "weakref", "webbrowser", "websocket", "winreg", "winsound", "wrapt", "wrapt-stubs", "wsgiref", "wsproto", "xdrlib", "xml", "xmlrpc", "yarl", "zipapp", "zipfile", "zipimport", "zlib", "zoneinfo" ] }, "skipped_ids": [], "spec_paths": [ "test/utils/test_augmentation.py" ], "target": [ "test/utils/test_augmentation.py::test_add_random_edge" ], "target_failure_text": { "test/utils/test_augmentation.py::test_add_random_edge": "assert [[0, 1, 1, 2,...1, 3, 2, ...]] == [[0, 1, 1, 2,...1, 3, 2, ...]]\n \n At index 0 diff: [0, 1, 1, 2, 2, 3, 3, 2, 3] != [0, 1, 1, 2, 2, 3, 3, 1, 2]\n Use -v to get more diff\nE assert [[0, 1, 1, 2,...1, 3, 2, ...]] == [[0, 1, 1, 2,...1, 3, 2, ...]]\n \n At index 0 diff: [0, 1, 1, 2, 2, 3, 3, 2, 3] != [0, 1, 1, 2, 2, 3, 3, 1, 2]\n Use -v to get more diff" }, "target_map": { "test/utils/test_augmentation.py::test_add_random_edge": [ "test/utils/test_augmentation.py::test_add_random_edge" ] }, "unstable": [] }, "checkpoint": { "digest": "deac7fcf-b12e-4b05-b202-3395d967f0c7", "id": "deac7fcf-b12e-4b05-b202-3395d967f0c7", "parent": "deac7fcf-b12e-4b05-b202-3395d967f0c7" }, "checkpoint_id": "deac7fcf-b12e-4b05-b202-3395d967f0c7", "cleanup_error": null, "cost": { "estimated_dollars": 0.4028166, "model_retries": {}, "models": { "nvidia/nemotron-3-super-120b-a12b": { "completion_tokens": 27144, "estimated_dollars": 0.4028166, "prompt_tokens": 1261290, "reasoning_tokens": 0 } }, "planner_dollars": 0.0022215, "planner_tokens": 7203, "pricing_is_estimate": true, "sandbox_seconds": 79.70111733392697 }, "disclosure": { "executor_kind": "tokenfactory", "lock_sha256": "8e443cf948ccbcbc2e668346ea10b55a8ed1e0fbfbacfd981a99d2a23c22b0f0", "model": { "base_url": "https://api.tokenfactory.nebius.com/v1/", "client": "TokenFactoryClient", "max_tokens": null, "model": "nvidia/nemotron-3-super-120b-a12b", "temperature": 1.0, "thinking": false, "top_p": 0.95 }, "pytest_config_digests": { "pyproject.toml": "751fb954908f168015eed251e6e090f12cb2272baf519b159939d54931104b3c", "test/conftest.py": "85f5d9aeb246f6a3b9b763c74114ed9770d8e7fea60db4afc31eb1a54bab9566", "test/explain/conftest.py": "0995be197616b25bd3f67c8283ef742b7f80bbc9035b4cbeb952ff2fb422cea1" }, "receipts_version": "0.0.1", "test_digests": { "test/utils/test_assortativity.py": "23f09052388edb6e6220013b315310ac16ef1692685bfd5d967fe8defda36332", "test/utils/test_augmentation.py": "b5517bb457d59aeed20445f0b357ce8ad6de81574a073c32ca14217e688d8dc0", "test/utils/test_coalesce.py": "53203be7aa89cf4375f01ab123f418f0b79d12fc5819c91359e116febb5ab193", "test/utils/test_convert.py": "d6928302374689b745222ec71611aa29148dbd1a864221c594b84328e718b892", "test/utils/test_cross_entropy.py": "3144b808309fc1ebedea6ff24bbca62a3d6bf042944079e1850130c415346406", "test/utils/test_degree.py": "22f3554442a08e1ca5c8c1fb9eb33a1c02aaf9c47e250b977bb55a061242c494", "test/utils/test_dropout.py": "98ed001aaaaad543d378c6fbb7730d2ba066cbfcf93fe01663d028a94ba115ca", "test/utils/test_embedding.py": "79ae7d57a6907de462cfa9b72493ddf38e46dd65fde6fa492116ed475268024b", "test/utils/test_geodesic.py": "612f0f5824b472ad632f5b4f60872c194e286d5ec24309d248114f65e4629690", "test/utils/test_get_laplacian.py": "641658cfcea37620a5d1937ffb16e5da98c1f43c434f37bdc85e3cbe767a11d6", "test/utils/test_get_mesh_laplacian.py": "c7ab33402d89e28fa89178f9bd9cba503198af702f5bfb5a441bd2cea9cca298", "test/utils/test_grid.py": "399d266428137d7400eefbfc711dba0c075ea1d8792ffaa39dd200fa38a88fb7", "test/utils/test_hetero.py": "cc5fb592892896b04d15fe06ac6d02e300696796fdc9e46bcc9bc4697ff5bb34", "test/utils/test_homophily.py": "0eb15d6344cca81fadcf2765e08a587979a45abcf1f4724b8951cf6928d24f81", "test/utils/test_isolated.py": "959f32e914f9e8b267df13b43b3505f5a56d4d89d1771ddd0fe7239ad6c85923", "test/utils/test_loop.py": "c227a44fd0737bb29d5a6dd8b3d9f748e899359401afd47523a926cafdc3ca8f", "test/utils/test_map.py": "b70dbd4f6ea8b7eb88f8a2cc461f8e5670cdf0affe8114d4b625444562e0d54f", "test/utils/test_mask.py": "575b4742c4cff6b4603f815fb420b96982e4bc7e1ee7b8f4bf4d5941454d369b", "test/utils/test_negative_sampling.py": "9ad80d708a83f76521aa44b1c0383a47fbc03045a66f758f982d6f056b734be0", "test/utils/test_nested.py": "e915659e7a5fde86b1e6095988b89cbdf7663b73e4f0f1718977f1aa66d4017d", "test/utils/test_normalized_cut.py": "721dfdd25d64969a19d3df3100faf822b7f31c72da92774abb42eba844814d3d", "test/utils/test_num_nodes.py": "4bf47ba1e88befce5f5072462aeeeafd4d1dbdcee8a4df2c1282cdf0b748a829", "test/utils/test_one_hot.py": "bc3d4d79348b0039edb23510579617504c3acd5eda4e8b5f83de8fd3b5d3de11", "test/utils/test_random.py": "d696972110771b1a9a07b98e299f058049beb5774679de8919e674531b3dab0b", "test/utils/test_repeat.py": "c83b54bec9b3b4eacc0678e4f0acba7b8e6cd91b6f859bfb0830ec78d45d491f", "test/utils/test_scatter.py": "c9c85c060d01beee47be69211257104a565ee2013b1c5814d9d94b7641f429fc", "test/utils/test_segment.py": "358d99fc1a290f8a64d2d240cc9d4d7d8b6fc802e3bd052edd30e34c36b96cb3", "test/utils/test_select.py": "3daebf9e58318495d25f5b65a3a782415636adda3cfe1ac2934d7b79579fe0a6", "test/utils/test_smiles.py": "44064362fd97f28c6e48f2aba1230672901b5244571d16c84a21b13573e8178e", "test/utils/test_softmax.py": "c79d317b74dfb96097d10368bee07494f8b9825e5c31a27fb4bfafccb736f192", "test/utils/test_sort_edge_index.py": "3b57d5f8f84d8611831e5d5120fdaf528fab8c10a4e014fd6ccde86d34412553", "test/utils/test_sparse.py": "8b78a9227214ea52154ec73b6246e3a435cb039c964289592249c1477c35ba5e", "test/utils/test_spmm.py": "25e75460fd407c8295916d60668d214aa9ac02f3eaf8c24a01c53c2f8585ca7f", "test/utils/test_subgraph.py": "4b0bf0fd8ceec307aea221f55f8678b083614cfd507e7ca8c20517ad050423b8", "test/utils/test_to_dense_adj.py": "6a0791e00cc256033326a39ac9af0d098c043bc248eb09e5b67d09267e7bf28c", "test/utils/test_to_dense_batch.py": "fcdddc076c6f009e610979b3fd44f53841c313fed75cc7396f73396f32ac55e6", "test/utils/test_train_test_split_edges.py": "333b6ecf37b1402fb24f9a19dc60f2f6ade5c81865c04d924817d6f3ea276d9d", "test/utils/test_trim_to_layer.py": "55c498bd9d1365d607ebc59739348cfa1f200ccee5f37cb351a63c3b6565d8b1", "test/utils/test_unbatch.py": "ce9e57cbd897d37baec6d44eec302b4b3d91a7a8eadaecd22b34dafdfbb3e235", "test/utils/test_undirected.py": "df47fe7e28a4aa684524b8da04542eb2d4c56ff4dd92194f17222bd78c22d856" } }, "final_verdict": { "branch_id": "agent1", "claim_audit": "honest", "claim_evidence": "did not claim green; verification did not pass", "error": null, "error_kind": null, "predicates": [ { "evidence": "test/utils/test_augmentation.py::test_add_random_edge failed", "id": "R1_fail_to_pass", "passed": false }, { "evidence": "2 baseline-passing tests still pass", "id": "R2_pass_to_pass", "passed": true }, { "evidence": "all 3 baseline tests collected; skips unchanged (0)", "id": "R3_no_shrink", "passed": true }, { "evidence": "patch touches 1 file(s), all in scope", "id": "R4_patch_scope", "passed": true }, { "evidence": "agent chain deac7fcf-b12e-4b05-b202-3395d967f0c7 -> e22b4ec4-3947-40c5-a549-908f29c50469 unbroken over 36 receipt(s); witness chain deac7fcf-b12e-4b05-b202-3395d967f0c7 -> 8be0a726-eefb-4de7-8b52-83f12e425fb8 unbroken over 2 receipt(s); applied digest matches", "id": "R5_provenance", "passed": true }, { "evidence": "did not claim green; verification did not pass", "id": "R6_claim_audit", "passed": true } ], "status": "REJECTED" }, "input": { "appeals": 1, "budgets": { "baseline_limit_s": 600, "verification_timeout_s": 600, "worker": { "max_completion_tokens": 96000, "max_turns": 60, "max_wall_seconds": 1500.0, "prompt_token_budget": 160000 } }, "issue": "add_random_edge does not check existing edges\n### \ud83d\udc1b Describe the bug\r\n\r\nCalling add_random_edge may introduce duplicate edges that already existing in the graph. This may have unintended downstream consequences.\r\n\r\nMinimal code to reproduce.\r\n\r\n```python\r\nedge_index = torch.IntTensor(([0, 1, 2, 0, 1, 2, 0, 1, 2], [0, 0, 0, 1, 1, 1, 2, 2, 2]))\r\ntorch_geometric.utils.add_random_edge(edge_index, 0.4, num_nodes=3)\r\n```", "source": { "image": "docker.io/swerebenchv2/pyg-team-pytorch-geometric:7654-2ec1c4b", "platform": "linux/amd64", "python": "python", "setup": [ "python -c 'import base64; from pathlib import Path; Path('\"'\"'/tmp/receipts-pyg-team__pytorch_geometric-7654-test.patch'\"'\"').write_bytes(base64.b64decode('\"'\"'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'\"'\"'))'", "git apply /tmp/receipts-pyg-team__pytorch_geometric-7654-test.patch" ], "workdir": "/pytorch_geometric" }, "spec_paths": [ "test/utils/test_augmentation.py" ], "spec_tests": [ "test/utils/test_augmentation.py::test_add_random_edge" ], "suite_scope": "--no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning test/utils/test_augmentation.py" }, "plan": { "approach": "Modify the sampling loop inside _sample_simple(pseudocode) so that an attempted new edge (u,v) is accepted only if no entry in edge_index has row==u and col==v; otherwise discard it and try again.", "files_to_edit": [ "torch_geometric/utils/augmentation.py" ], "finish_reason": "stop", "hypothesis": "The function add_random_edge must be updated to reject sampled random edges when they correspond exactly to any currently existing directed edge.", "usage": { "completion": 101, "prompt": 7102, "reasoning": 0 } }, "selected_patch_path": null, "snapshot_receipt_id": "base-7", "verdict_history": [ { "branch_id": "agent1", "claim_audit": "honest", "claim_evidence": "did not claim green; verification did not pass", "error": null, "error_kind": null, "predicates": [ { "evidence": "test/utils/test_augmentation.py::test_add_random_edge failed", "id": "R1_fail_to_pass", "passed": false }, { "evidence": "2 baseline-passing tests still pass", "id": "R2_pass_to_pass", "passed": true }, { "evidence": "all 3 baseline tests collected; skips unchanged (0)", "id": "R3_no_shrink", "passed": true }, { "evidence": "patch touches 1 file(s), all in scope", "id": "R4_patch_scope", "passed": true }, { "evidence": "agent chain deac7fcf-b12e-4b05-b202-3395d967f0c7 -> eebc7806-d7be-4936-b083-4daf5136781e unbroken over 22 receipt(s); witness chain deac7fcf-b12e-4b05-b202-3395d967f0c7 -> 22455dc4-1ed2-4ebb-95dd-f1bea4f7de5b unbroken over 2 receipt(s); applied digest matches", "id": "R5_provenance", "passed": true }, { "evidence": "did not claim green; verification did not pass", "id": "R6_claim_audit", "passed": true } ], "status": "REJECTED" }, { "branch_id": "agent1", "claim_audit": "honest", "claim_evidence": "did not claim green; verification did not pass", "error": null, "error_kind": null, "predicates": [ { "evidence": "test/utils/test_augmentation.py::test_add_random_edge failed", "id": "R1_fail_to_pass", "passed": false }, { "evidence": "2 baseline-passing tests still pass", "id": "R2_pass_to_pass", "passed": true }, { "evidence": "all 3 baseline tests collected; skips unchanged (0)", "id": "R3_no_shrink", "passed": true }, { "evidence": "patch touches 1 file(s), all in scope", "id": "R4_patch_scope", "passed": true }, { "evidence": "agent chain deac7fcf-b12e-4b05-b202-3395d967f0c7 -> e22b4ec4-3947-40c5-a549-908f29c50469 unbroken over 36 receipt(s); witness chain deac7fcf-b12e-4b05-b202-3395d967f0c7 -> 8be0a726-eefb-4de7-8b52-83f12e425fb8 unbroken over 2 receipt(s); applied digest matches", "id": "R5_provenance", "passed": true }, { "evidence": "did not claim green; verification did not pass", "id": "R6_claim_audit", "passed": true } ], "status": "REJECTED" } ], "verified_fix": false, "wall_time_s": 424.0702476250008 }