samuelcolvin__pydantic-3176

Snapshot captured 2026-11-12T17:06:59.476467+00:00 · Autoresearch-Arena/gemma-4-developer-agent

{
  "datasets": [
    "opd_e4b_pure_v6a",
    "opd_e4b_pure_v6b",
    "opd_e4b_pure_v7",
    "opd_e4b_pure_v7b",
    "opd_e4b_self_audit_v4"
  ],
  "examples": 11,
  "instance_id": "samuelcolvin__pydantic-3176",
  "problem_statement": "underscore_attrs_are_private and validate_all not compatible with validate_arguments\nOutput of `python -c \"import pydantic.utils; print(pydantic.utils.version_info())\"`:\r\n```\r\n             pydantic version: 1.8.2\r\n            pydantic compiled: True\r\n                 install path: /home/xxx/.conda/envs/py38/lib/python3.8/site-packages/pydantic\r\n               python version: 3.8.5 (default, Sep  4 2020, 07:30:14)  [GCC 7.3.0]\r\n                     platform: Linux-4.18.0-80.el8.x86_64-x86_64-with-glibc2.10\r\n     optional deps. installed: ['typing-extensions']\r\n```\r\n`underscore_attrs_are_private` not work with `validate_arguments` just like it not work with `create_model`  #3134 .\r\n\r\nWhen I define a function decorated by `validate_arguments` with `validate_all` been set `True`, It will raise `ValidationError`:\r\n\r\n```py\r\nfrom datetime import datetime\r\nfrom pydantic import validate_arguments, Field\r\n\r\n\r\n@validate_arguments(config={'validate_all': True})\r\ndef foo(dt: datetime = Field(default_factory=lambda : 42)):\r\n    print(type(dt))\r\n\r\nfoo()\r\n```\r\n```\r\n---------------------------------------------------------------------------\r\nValidationError                           Traceback (most recent call last)\r\n<ipython-input-4-6c97ede6fd47> in <module>\r\n      7     print(type(dt))\r\n      8 \r\n----> 9 foo()\r\n\r\n~/.conda/envs/py38/lib/python3.8/site-packages/pydantic/decorator.cpython-38-x86_64-linux-gnu.so in pydantic.decorator.validate_arguments.validate.wrapper_function()\r\n\r\n~/.conda/envs/py38/lib/python3.8/site-packages/pydantic/decorator.cpython-38-x86_64-linux-gnu.so in pydantic.decorator.ValidatedFunction.call()\r\n\r\n~/.conda/envs/py38/lib/python3.8/site-packages/pydantic/decorator.cpython-38-x86_64-linux-gnu.so in pydantic.decorator.ValidatedFunction.init_model_instance()\r\n\r\n~/.conda/envs/py38/lib/python3.8/site-packages/pydantic/main.cpython-38-x86_64-linux-gnu.so in pydantic.main.BaseModel.__init__()\r\n\r\nValidationError: 3 validation errors for Foo\r\nv__duplicate_kwargs\r\n  object of type 'NoneType' has no len() (type=type_error)\r\nargs\r\n  object of type 'NoneType' has no len() (type=type_error)\r\nkwargs\r\n  object of type 'NoneType' has no len() (type=type_error)\r\n```",
  "repo": "samuelcolvin/pydantic",
  "source": "v2/experiments/train_data/opd_e4b_pure_v6a/verified_rft_messages.jsonl",
  "source_sha256": "f045b7ca5b3883a1e2eaee81e1c02a4a1b53dd7b7b36e98bacb2ba5823a15148"
}

{
  "captured_at": "2026-11-12T17:06:59.476467+00:00",
  "membership": "archived training",
  "membership_evidence": "Task issues extracted from preserved verified_rft_messages training examples. This is not a verified current RL wave manifest.",
  "name": "Preserved post-training task archive",
  "source": "Autoresearch-Arena/gemma-4-developer-agent",
  "source_revision": "016496de222aaafca0d4ee4c18efc63ba616f76e",
  "sources": [
    {
      "path": "v2/experiments/train_data/opd_e4b_cispo_v5/verified_rft_messages.jsonl",
      "sha256": "a43610ad0dfb6ace95375cfae09000f41afc0338cc925af870a4ade7a9b20c4c"
    },
    {
      "path": "v2/experiments/train_data/opd_e4b_hybrid_v3/verified_rft_messages.jsonl",
      "sha256": "bd326303eb127e8e5e08f03daf97bb88d79d19709d59f3f93f348bc56686a8df"
    },
    {
      "path": "v2/experiments/train_data/opd_e4b_onpolicy_v3/verified_rft_messages.jsonl",
      "sha256": "960c680e797e823a0d3a22f4b1d5ef60a72971373d703b877340b0c9126aaf68"
    },
    {
      "path": "v2/experiments/train_data/opd_e4b_pure_v6a/verified_rft_messages.jsonl",
      "sha256": "f045b7ca5b3883a1e2eaee81e1c02a4a1b53dd7b7b36e98bacb2ba5823a15148"
    },
    {
      "path": "v2/experiments/train_data/opd_e4b_pure_v6b/verified_rft_messages.jsonl",
      "sha256": "0f62460a9706eea5e1605255896f191ab00cb5706c5f1f2e1c293e9a718218dc"
    },
    {
      "path": "v2/experiments/train_data/opd_e4b_pure_v7/verified_rft_messages.jsonl",
      "sha256": "e37f7bd675322f3f81500b73559d60d5f602ca0537bf19f5cb06332c728c7b72"
    },
    {
      "path": "v2/experiments/train_data/opd_e4b_pure_v7b/verified_rft_messages.jsonl",
      "sha256": "b864bdc8695183433eef6e31cb8d33fad44ba3aded2170c1ade4ad5b2944ce23"
    },
    {
      "path": "v2/experiments/train_data/opd_e4b_self_audit_v4/verified_rft_messages.jsonl",
      "sha256": "0026023745afb8f3dc1c176dc7f7171157b4ad5a66656b524af218e8e19ceee6"
    },
    {
      "path": "v2/experiments/train_data/rft_e4b_aligned_v2/verified_rft_messages.jsonl",
      "sha256": "92a4515fee9d152b0d4c510ee3ce4caaaffe2003ba7584469f8027f174aab18c"
    },
    {
      "path": "v2/experiments/train_data/rft_v1/verified_rft_messages.jsonl",
      "sha256": "a42453ccd7ac7680b0a03865e8e7080bc8bf74c8d9d193b440c441ed46f8512b"
    },
    {
      "path": "v2/experiments/train_data/rft_v2/verified_rft_messages.jsonl",
      "sha256": "18f4b3bd7e651f83c6acab479c9475e3fa50dc652a384f309e97146983ac85ba"
    }
  ]
}