{ "agent_branch_id": "agent1", "attempts": [ { "dropped_paths": [], "filtered_patch_path": "attempts/1/filtered.diff", "filtered_sha256": "3911473827f10c86b9d0c86d62e8f73f45595ef3eb548694878c88f1831852fb", "number": 1, "patch_path": "attempts/1/patch.diff", "verdict": { "branch_id": "agent1", "claim_audit": "honest", "claim_evidence": "claimed green; own last run: 1 passed, 0 failed", "error": null, "error_kind": null, "predicates": [ { "evidence": "target tests passed: dask/tests/test_datasets.py::test_no_mimesis", "id": "R1_fail_to_pass", "passed": true }, { "evidence": "0 baseline-passing tests still pass", "id": "R2_pass_to_pass", "passed": true }, { "evidence": "all 4 baseline tests collected; skips unchanged (3)", "id": "R3_no_shrink", "passed": true }, { "evidence": "patch touches 1 file(s), all in scope", "id": "R4_patch_scope", "passed": true }, { "evidence": "agent chain fe3107cd-0686-4c32-9086-abbdaad7e43a -> c84e0693-2d74-429f-80a7-80f6a2a9641c unbroken over 5 receipt(s); witness chain fe3107cd-0686-4c32-9086-abbdaad7e43a -> 376e6c4b-6478-46aa-8b20-bd99d17dc049 unbroken over 2 receipt(s); applied digest matches", "id": "R5_provenance", "passed": true }, { "evidence": "claimed green; own last run: 1 passed, 0 failed", "id": "R6_claim_audit", "passed": true } ], "status": "PASS" }, "witness_apply_sha256": "3911473827f10c86b9d0c86d62e8f73f45595ef3eb548694878c88f1831852fb", "witness_branch_id": "w1", "worker": { "claims": { "files_changed": [ "dask/datasets.py" ], "full_suite_pass": true, "target_tests_pass": true, "tests_run": true }, "end": "finished", "receipt_ids": [ "agent1-2", "agent1-3", "agent1-4" ], "summary": "Updated the pip install instruction in dask/datasets.py to use 'python -m pip install mimesis' instead of 'pip install mimesis' to address the pip CLI warning issue. Made the change in the import_required error message within the make_people function.", "turns": 8 } } ], "baseline": { "collected_ids": [ "dask/tests/test_datasets.py::test_deterministic", "dask/tests/test_datasets.py::test_full_dataset", "dask/tests/test_datasets.py::test_mimesis", "dask/tests/test_datasets.py::test_no_mimesis" ], "protected": [], "run_receipt_ids": [ "base-3", "base-4" ], "runs": [ { "collection_errors": [], "errors": [], "failed": [ "dask/tests/test_datasets.py::test_no_mimesis" ], "failure_text": { "dask/tests/test_datasets.py::test_no_mimesis": "AssertionError: assert 'python -m pip install mimesis' in 'The mimesis module is required for this function. Try:\\n pip install mimesis'\n + where 'The mimesis module is required for this function. Try:\\n pip install mimesis' = str(RuntimeError('The mimesis module is required for this function. Try:\\n pip install mimesis'))\n + where RuntimeError('The mimesis module is required for this function. Try:\\n pip install mimesis') = .value\nE ModuleNotFoundError: No module named 'mimesis'\n\nDuring handling of the above exception, another exception occurred:\nE AssertionError: assert 'python -m pip install mimesis' in 'The mimesis module is required for this function. Try:\\n pip install mimesis'\n + where 'The mimesis module is required for this function. Try:\\n pip install mimesis' = str(RuntimeError('The mimesis module is required for this function. Try:\\n pip install mimesis'))\n + where RuntimeError('The mimesis module is required for this function. Try:\\n pip install mimesis') = .value" }, "passed": [], "skipped": [ "dask/tests/test_datasets.py::test_mimesis", "dask/tests/test_datasets.py::test_full_dataset", "dask/tests/test_datasets.py::test_deterministic" ] }, { "collection_errors": [], "errors": [], "failed": [ "dask/tests/test_datasets.py::test_no_mimesis" ], "failure_text": { "dask/tests/test_datasets.py::test_no_mimesis": "AssertionError: assert 'python -m pip install mimesis' in 'The mimesis module is required for this function. Try:\\n pip install mimesis'\n + where 'The mimesis module is required for this function. Try:\\n pip install mimesis' = str(RuntimeError('The mimesis module is required for this function. Try:\\n pip install mimesis'))\n + where RuntimeError('The mimesis module is required for this function. Try:\\n pip install mimesis') = .value\nE ModuleNotFoundError: No module named 'mimesis'\n\nDuring handling of the above exception, another exception occurred:\nE AssertionError: assert 'python -m pip install mimesis' in 'The mimesis module is required for this function. Try:\\n pip install mimesis'\n + where 'The mimesis module is required for this function. Try:\\n pip install mimesis' = str(RuntimeError('The mimesis module is required for this function. Try:\\n pip install mimesis'))\n + where RuntimeError('The mimesis module is required for this function. Try:\\n pip install mimesis') = .value" }, "passed": [], "skipped": [ "dask/tests/test_datasets.py::test_mimesis", "dask/tests/test_datasets.py::test_full_dataset", "dask/tests/test_datasets.py::test_deterministic" ] } ], "scope": { "c0_top_level": [ ".codecov.yml", ".coveragerc", ".github", ".gitignore", ".pre-commit-config.yaml", ".travis.yml", "CONTRIBUTING.md", "LICENSE.txt", "MANIFEST.in", "README.rst", "appveyor.yml", "conftest.py", "continuous_integration", "dask", "docs", "setup.cfg", "setup.py", "versioneer.py" ], "protected_names": [ "CONTRIBUTING.md", "LICENSE.txt", "MANIFEST.in", "README.rst", "__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", "appveyor.yml", "argparse", "array", "ast", "asyncio", "atexit", "attr", "attrs", "audioop", "base64", "bdb", 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"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", "pytest", "pytest_asyncio", "python_multipart", "queue", "quopri", "random", "re", "readline", "reprlib", "requests", "resource", 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"zipimport", "zlib", "zoneinfo" ] }, "skipped_ids": [ "dask/tests/test_datasets.py::test_deterministic", "dask/tests/test_datasets.py::test_full_dataset", "dask/tests/test_datasets.py::test_mimesis" ], "spec_paths": [ "dask/tests/test_datasets.py" ], "target": [ "dask/tests/test_datasets.py::test_no_mimesis" ], "target_failure_text": { "dask/tests/test_datasets.py::test_no_mimesis": "AssertionError: assert 'python -m pip install mimesis' in 'The mimesis module is required for this function. Try:\\n pip install mimesis'\n + where 'The mimesis module is required for this function. Try:\\n pip install mimesis' = str(RuntimeError('The mimesis module is required for this function. Try:\\n pip install mimesis'))\n + where RuntimeError('The mimesis module is required for this function. Try:\\n pip install mimesis') = .value\nE ModuleNotFoundError: No module named 'mimesis'\n\nDuring handling of the above exception, another exception occurred:\nE AssertionError: assert 'python -m pip install mimesis' in 'The mimesis module is required for this function. Try:\\n pip install mimesis'\n + where 'The mimesis module is required for this function. Try:\\n pip install mimesis' = str(RuntimeError('The mimesis module is required for this function. Try:\\n pip install mimesis'))\n + where RuntimeError('The mimesis module is required for this function. Try:\\n pip install mimesis') = .value" }, "target_map": { "dask/tests/test_datasets.py::test_no_mimesis": [ "dask/tests/test_datasets.py::test_no_mimesis" ] }, "unstable": [] }, "checkpoint": { "digest": "fe3107cd-0686-4c32-9086-abbdaad7e43a", "id": "fe3107cd-0686-4c32-9086-abbdaad7e43a", "parent": "fe3107cd-0686-4c32-9086-abbdaad7e43a" }, "checkpoint_id": "fe3107cd-0686-4c32-9086-abbdaad7e43a", "cleanup_error": null, "cost": { "estimated_dollars": 0.0108456, "model_retries": {}, "models": { "nvidia/nemotron-3-super-120b-a12b": { "completion_tokens": 786, "estimated_dollars": 0.0108456, "prompt_tokens": 33794, "reasoning_tokens": 0 } }, "planner_dollars": 0.0014748, "planner_tokens": 4738, "pricing_is_estimate": true, "sandbox_seconds": 4.609114207848892 }, "disclosure": { "executor_kind": "tokenfactory", "lock_sha256": "7d6e197d2eb279bf2f58828cd87f56d0ee25aae8e4822e0f882a5a732d3a3fce", "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": { "conftest.py": "16b90a0a1464abe2fb0fdcede97f5173ddc445fc3db6ddc49aa7287ea284b6d7", "setup.cfg": "1f8716248e53914b76774d01624f34d06fb211e713e44f0e5efa9f0dc93b6f06" }, "receipts_version": "0.0.1", "test_digests": { "dask/tests/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855", "dask/tests/test_base.py": "b329f43678deb25c65113f01afd1102f13470ff3591c61b6c89b942c59604655", "dask/tests/test_cache.py": "5ecd2b919b8a3482be117ed2cccb8ae97cb0fe5a39c3741d3f9cf53c9007a00f", "dask/tests/test_callbacks.py": "e7213f2931872d72ffe885758f9df2c93754219a24735075e2331c9fd9719f5d", "dask/tests/test_config.py": "4623f44cec7eb7f83bffaf547943e4a9adb27a33bcadf3666c6450213c17f3b2", "dask/tests/test_context.py": "2444e54cebfd2ed801c31dfd4b1767f6df032b4d5c381ebc6a63d4dd89548cb2", "dask/tests/test_core.py": "50ea109737d88d06462c6c74b308d10a0bc52a75e3c5c2a3697bfceb2cbfc37f", "dask/tests/test_datasets.py": "8568574468f8fe534bc19780d4a5f19b2708e553a765178f84775934ab20f2f9", "dask/tests/test_delayed.py": "03efcc1c11a6ec32e1bf2d250bb4d3f817b0d149497226125750c92761a47f45", "dask/tests/test_distributed.py": "484badbcd4ff60399e5c89868b8b13fa6ee287d88348eacb23f827766649468a", "dask/tests/test_dot.py": "f13d5cd9265c4e10878fff6507763072fd121c9ea031f029fb6c5bf35936f85f", "dask/tests/test_hashing.py": "e1b5069da74ad2cc486df2089a65a886a7dd919c5ce51fb4580888b10013bb12", "dask/tests/test_highgraph.py": "943d61df4e01ea2a08338bc45ea77ca819d054a0fa0a9f48f035d14a9266d895", "dask/tests/test_local.py": "0699fa99793f5b9239aa0fe4b8a36f5c3c1ca1bd4eb307af9b91afdc62ac2136", "dask/tests/test_multiprocessing.py": "2e18c7023961b09753b44f8766d89f9eb7bdf6e2d0e14472585529ed299f7384", "dask/tests/test_optimization.py": "e45e15a008be5c8b96afd1f09d32fae9a81a727d9203f35a208ed191bc1e7c59", "dask/tests/test_order.py": "b6fb29b202521b0a311aff53565e9a1df80bc2dd5a42b2533729e1ae5f70d0a2", "dask/tests/test_rewrite.py": "181222832c858e1879a7d49cc9467bb9f4087db2fe9c69afd12e43de723bd42e", "dask/tests/test_sizeof.py": "8e2eb592ccb5972533ee53c61d1630601cdd925ca1b05cbfcfb6c09bddbb9fd5", "dask/tests/test_system.py": "6d107d420cc11a72375395c7f3dbe8235d8ff6adba4a7ded5df2c6b91b897900", "dask/tests/test_threaded.py": "80379597707abaee34e40cc141dba6efc3cdbffe6f9d44b914a2d10f2d4995f0", "dask/tests/test_utils.py": "f1c28af713d69172b33897e63a1de66218c78a64b4a965da175a24c083c25476" } }, "final_verdict": { "branch_id": "agent1", "claim_audit": "honest", "claim_evidence": "claimed green; own last run: 1 passed, 0 failed", "error": null, "error_kind": null, "predicates": [ { "evidence": "target tests passed: dask/tests/test_datasets.py::test_no_mimesis", "id": "R1_fail_to_pass", "passed": true }, { "evidence": "0 baseline-passing tests still pass", "id": "R2_pass_to_pass", "passed": true }, { "evidence": "all 4 baseline tests collected; skips unchanged (3)", "id": "R3_no_shrink", "passed": true }, { "evidence": "patch touches 1 file(s), all in scope", "id": "R4_patch_scope", "passed": true }, { "evidence": "agent chain fe3107cd-0686-4c32-9086-abbdaad7e43a -> c84e0693-2d74-429f-80a7-80f6a2a9641c unbroken over 5 receipt(s); witness chain fe3107cd-0686-4c32-9086-abbdaad7e43a -> 376e6c4b-6478-46aa-8b20-bd99d17dc049 unbroken over 2 receipt(s); applied digest matches", "id": "R5_provenance", "passed": true }, { "evidence": "claimed green; own last run: 1 passed, 0 failed", "id": "R6_claim_audit", "passed": true } ], "status": "PASS" }, "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": "pip command line warning\nRecently versions of `pip` (20.0+) emit the following warning when using the `pip` CLI (e.g. `pip install `):\r\n\r\n```\r\nWARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip.\r\nPlease see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.\r\nTo avoid this problem you can invoke Python with '-m pip' instead of running pip directly.\r\n```\r\n\r\nWe should go through and replace occurrences of using `pip` directly in the codebase with `python -m pip`. So things like `pip install ` should be replaced with `python -m pip install `", "source": { "image": "docker.io/swerebenchv2/dask-dask:5861-f0b8bd4", "platform": "linux/amd64", "python": "python", "setup": [ "python -c 'import base64; from pathlib import Path; Path('\"'\"'/tmp/receipts-dask__dask-5861-test.patch'\"'\"').write_bytes(base64.b64decode('\"'\"'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'\"'\"'))'", "git apply /tmp/receipts-dask__dask-5861-test.patch" ], "workdir": "/dask" }, "spec_paths": [ "dask/tests/test_datasets.py" ], "spec_tests": [ "dask/tests/test_datasets.py::test_no_mimesis" ], "suite_scope": "--no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning dask/tests/test_datasets.py" }, "plan": { "approach": "Replace direct `pip install` instructions with `python -m pip install` in error messages within datasets.py", "files_to_edit": [ "dask/datasets.py" ], "finish_reason": "stop", "hypothesis": "In dask/datasets.py, there's a RuntimeError message suggesting `pip install mimesis` which needs to be updated to `python -m pip install mimesis` to match the test expectation.", "usage": { "completion": 89, "prompt": 4649, "reasoning": 0 } }, "selected_patch_path": "attempts/1/filtered.diff", "snapshot_receipt_id": "base-7", "verdict_history": [ { "branch_id": "agent1", "claim_audit": "honest", "claim_evidence": "claimed green; own last run: 1 passed, 0 failed", "error": null, "error_kind": null, "predicates": [ { "evidence": "target tests passed: dask/tests/test_datasets.py::test_no_mimesis", "id": "R1_fail_to_pass", "passed": true }, { "evidence": "0 baseline-passing tests still pass", "id": "R2_pass_to_pass", "passed": true }, { "evidence": "all 4 baseline tests collected; skips unchanged (3)", "id": "R3_no_shrink", "passed": true }, { "evidence": "patch touches 1 file(s), all in scope", "id": "R4_patch_scope", "passed": true }, { "evidence": "agent chain fe3107cd-0686-4c32-9086-abbdaad7e43a -> c84e0693-2d74-429f-80a7-80f6a2a9641c unbroken over 5 receipt(s); witness chain fe3107cd-0686-4c32-9086-abbdaad7e43a -> 376e6c4b-6478-46aa-8b20-bd99d17dc049 unbroken over 2 receipt(s); applied digest matches", "id": "R5_provenance", "passed": true }, { "evidence": "claimed green; own last run: 1 passed, 0 failed", "id": "R6_claim_audit", "passed": true } ], "status": "PASS" } ], "verified_fix": true, "wall_time_s": 102.09534704196267 }