\u6458\u8981：\u672c\u6587\u8bb0\u5f55\u4f5c\u8005\u4ece\u96f6\u53c2\u4e0e DeepSeek Harness \u5f00\u6e90\u8d21\u732e\u7684\u5b8c\u6574\u6d41\u7a0b，\u6db5\u76d6\u73af\u5883\u642d\u5efa\u3001Issue \u8ba4\u9886\u3001\u4ee3\u7801\u5f00\u53d1\u3001\u6d4b\u8bd5\u6392\u67e5\u3001PR \u63d0\u4ea4\u4e0e\u6700\u7ec8\u5408\u5165\u4e3b\u7ebf\u3002\u901a\u8fc7\u300c\u914d\u7f6e\u6821\u9a8c\u5668\u300d\u529f\u80fd\u5b9e\u4f8b，\u91cd\u70b9\u8fd8\u539f\u4e86 Python 3.9 \u4e0b typing \u6cdb\u578b __name__ \u5c5e\u6027\u5dee\u5f02\u5f15\u53d1\u7684 CI \u5931\u8d25\u6392\u67e5\u8fc7\u7a0b，\u5e76\u63d0\u70bc\u51fa\u7248\u672c\u5dee\u5f02\u4f18\u5148\u6392\u67e5\u3001\u5584\u7528\u6700\u5c0f\u590d\u73b0\u3001\u591a\u7248\u672c\u6d4b\u8bd5\u77e9\u9635\u7b49\u53ef\u590d\u7528\u7ecf\u9a8c，\u4e3a\u6709\u610f\u53c2\u4e0e\u5f00\u6e90\u8d21\u732e\u7684\u8bfb\u8005\u63d0\u4f9b\u5b9e\u7528\u53c2\u8003\u3002<\/p>\n
\u672c\u8282\u4ecb\u7ecd\u4f5c\u8005\u53c2\u4e0e DeepSeek Harness \u5f00\u6e90\u9879\u76ee\u7684\u521d\u8877\u4e0e\u80cc\u666f，\u5305\u62ec\u5bf9\u5f00\u6e90\u793e\u533a\u7684\u7406\u89e3\u3001\u6280\u672f\u6210\u957f\u7684\u8bc9\u6c42，\u4ee5\u53ca\u9009\u62e9 DeepSeek Harness \u4f5c\u4e3a\u8d21\u732e\u76ee\u6807\u7684\u539f\u56e0\u3002<\/p>\n
\u672c\u8282\u4ecb\u7ecd DeepSeek Harness \u9879\u76ee\u7684\u5b9a\u4f4d\u3001\u6838\u5fc3\u529f\u80fd\u4e0e\u6280\u672f\u67b6\u6784，\u5e2e\u52a9\u8bfb\u8005\u5feb\u901f\u5efa\u7acb\u5bf9\u9879\u76ee\u7684\u6574\u4f53\u8ba4\u77e5\u3002<\/p>\n
\u672c\u8282\u5206\u4eab\u4ece\u96f6\u5f00\u59cb\u642d\u5efa\u672c\u5730\u5f00\u53d1\u73af\u5883\u3001\u9605\u8bfb\u6e90\u7801\u3001\u7406\u89e3\u9879\u76ee\u89c4\u8303\u7684\u8fc7\u7a0b，\u5305\u62ec\u5de5\u5177\u94fe\u914d\u7f6e\u3001\u4f9d\u8d56\u5b89\u88c5\u548c\u8c03\u8bd5\u6280\u5de7\u3002<\/p>\n
\u672c\u8282\u8bb2\u8ff0\u4f5c\u8005\u5982\u4f55\u53d1\u73b0\u5408\u9002\u7684 Issue\u3001\u8bc4\u4f30\u4efb\u52a1\u96be\u5ea6\u3001\u4e0e\u7ef4\u62a4\u8005\u6c9f\u901a\u5e76\u6700\u7ec8\u8ba4\u9886\u4efb\u52a1\u7684\u5b8c\u6574\u8fc7\u7a0b，\u5305\u542b\u6c9f\u901a\u6280\u5de7\u4e0e\u6ce8\u610f\u4e8b\u9879\u3002<\/p>\n
\u6574\u4e2a\u5f00\u53d1\u6d41\u7a0b\u53ef\u4ee5\u6982\u62ec\u4e3a\u4ee5\u4e0b\u4e94\u4e2a\u5173\u952e\u73af\u8282，\u4ece\u5206\u652f\u521b\u5efa\u5230\u6700\u7ec8\u5408\u5165\u4e3b\u7ebf，\u6bcf\u4e00\u6b65\u90fd\u6709\u660e\u786e\u7684\u4ea7\u51fa\u4e0e\u68c0\u67e5\u70b9：<\/p>\n
flowchart TD
\n A[\u521b\u5efa\u5206\u652f] –> B[\u7f16\u5199\u4ee3\u7801]
\n B –> C[\u5355\u5143\u6d4b\u8bd5]
\n C –> D[\u4ee3\u7801\u5ba1\u67e5]
\n D –> E[\u5408\u5165\u4e3b\u7ebf] <\/p>\n
\u672c\u8282\u8be6\u7ec6\u8bb0\u5f55\u529f\u80fd\u5f00\u53d1\u7684\u6838\u5fc3\u8fc7\u7a0b，\u5305\u62ec\u5206\u652f\u7ba1\u7406\u3001\u4ee3\u7801\u5b9e\u73b0\u601d\u8def\u3001\u5173\u952e\u8bbe\u8ba1\u51b3\u7b56\u4ee5\u53ca\u5f00\u53d1\u4e2d\u9047\u5230\u7684\u5178\u578b\u95ee\u9898\u4e0e\u89e3\u51b3\u65b9\u6848\u3002\u4e0b\u9762\u4ee5\u4e00\u4e2a\u5178\u578b\u7684\u300c\u914d\u7f6e\u6821\u9a8c\u5668\u300d\u529f\u80fd\u6a21\u5757\u4e3a\u4f8b，\u5c55\u793a\u4ece\u5206\u652f\u521b\u5efa\u5230\u4ee3\u7801\u843d\u5730\u7684\u5b8c\u6574\u8fc7\u7a0b\u3002<\/p>\n
\u9996\u5148，\u57fa\u4e8e\u4e3b\u5206\u652f\u521b\u5efa\u72ec\u7acb\u7684\u529f\u80fd\u5206\u652f，\u786e\u4fdd\u5f00\u53d1\u8fc7\u7a0b\u4e0e\u4e3b\u7ebf\u9694\u79bb：<\/p>\n
\u63a5\u4e0b\u6765\u5b9e\u73b0\u300c\u914d\u7f6e\u6821\u9a8c\u5668\u300d\u7684\u6838\u5fc3\u903b\u8f91\u3002\u8be5\u6a21\u5757\u8d1f\u8d23\u52a0\u8f7d\u914d\u7f6e\u6587\u4ef6\u3001\u6821\u9a8c\u914d\u7f6e\u9879\u5408\u6cd5\u6027，\u5e76\u5728\u51fa\u9519\u65f6\u7ed9\u51fa\u6e05\u6670\u63d0\u793a\u3002\u6574\u4f53\u8bbe\u8ba1\u9075\u5faa\u300c\u52a0\u8f7d\u4e0e\u6821\u9a8c\u5206\u79bb\u3001\u9519\u8bef\u4fe1\u606f\u53ef\u8bfb\u300d\u7684\u539f\u5219：<\/p>\n
# config_validator.py
\n"""\u914d\u7f6e\u6821\u9a8c\u5668：\u52a0\u8f7d\u3001\u6821\u9a8c\u5e76\u89c4\u8303\u5316 DeepSeek Harness \u8fd0\u884c\u914d\u7f6e\u3002"""
\nfrom __future__ import annotations
\nimport json
\nfrom pathlib import Path
\nfrom typing import Any, Dict, List, Optional
\nclass ConfigError(Exception):
\n"""\u914d\u7f6e\u6821\u9a8c\u5931\u8d25\u65f6\u629b\u51fa\u7684\u9886\u57df\u5f02\u5e38，\u4fbf\u4e8e\u4e0a\u5c42\u7edf\u4e00\u6355\u83b7\u4e0e\u63d0\u793a\u3002"""
\nclass ConfigValidator:
\n"""\u8d1f\u8d23\u914d\u7f6e\u6587\u4ef6\u7684\u52a0\u8f7d\u4e0e\u6821\u9a8c\u3002
\n\u8bbe\u8ba1\u601d\u8def：
\n1. \u52a0\u8f7d\u4e0e\u6821\u9a8c\u5206\u79bb：load() \u53ea\u8d1f\u8d23\u8bfb\u53d6\u539f\u59cb\u6570\u636e，validate() \u4e13\u6ce8\u89c4\u5219\u68c0\u67e5；
\n2. \u9010\u9879\u6821\u9a8c\u5e76\u805a\u5408\u9519\u8bef：\u4e00\u6b21\u6536\u96c6\u6240\u6709\u95ee\u9898，\u907f\u514d\u7528\u6237\u53cd\u590d\u4fee\u6539\u540e\u591a\u6b21\u8fd0\u884c；
\n3. \u63d0\u4f9b\u9ed8\u8ba4\u503c\u515c\u5e95：\u53ef\u9009\u5b57\u6bb5\u7f3a\u5931\u65f6\u56de\u9000\u5230\u9ed8\u8ba4\u503c，\u964d\u4f4e\u4f7f\u7528\u95e8\u69db\u3002
\n"""
\nREQUIRED_FIELDS = ("model_name", "max_tokens", "temperature")
\nOPTIONAL_FIELDS = ("top_p", "timeout", "retry_count")
\ndef init(self, config_path: str | Path) -> None:
\nself.config_path = Path(config_path)
\nself._raw: Dict[str, Any] = {}
\ndef load(self) -> Dict[str, Any]:
\n"""\u4ece JSON \u6587\u4ef6\u52a0\u8f7d\u914d\u7f6e，\u5e76\u505a\u57fa\u7840\u683c\u5f0f\u68c0\u67e5\u3002"""
\nif not self.config_path.exists():
\nraise ConfigError(f"\u914d\u7f6e\u6587\u4ef6\u4e0d\u5b58\u5728：{self.config_path}")
\ntry:
\n with self.config_path.open("r", encoding="utf-8") as f:
\n self._raw = json.load(f)
\nexcept json.JSONDecodeError as exc:
\n raise ConfigError(f"\u914d\u7f6e\u6587\u4ef6\u4e0d\u662f\u5408\u6cd5 JSON：{exc}") from exc
\nif not isinstance(self._raw, dict):
\nraise ConfigError("\u914d\u7f6e\u6587\u4ef6\u9876\u5c42\u5fc5\u987b\u662f JSON \u5bf9\u8c61")
\nreturn self._raw
\ndef validate(self) -> Dict[str, Any]:
\n"""\u6821\u9a8c\u914d\u7f6e\u9879，\u8fd4\u56de\u5408\u5e76\u9ed8\u8ba4\u503c\u540e\u7684\u89c4\u8303\u5316\u914d\u7f6e\u3002
\n\u6821\u9a8c\u5931\u8d25\u65f6\u629b\u51fa ConfigError，\u9519\u8bef\u4fe1\u606f\u6c47\u603b\u6240\u6709\u95ee\u9898，
\n\u65b9\u4fbf\u8c03\u7528\u65b9\u4e00\u6b21\u6027\u5c55\u793a\u7ed9\u7528\u6237\u3002
\n"""
\nerrors: List[str] = []
\n\u5fc5\u586b\u5b57\u6bb5\u7f3a\u5931\u68c0\u67e5
\nfor field in self.REQUIRED_FIELDS:
\nif field not in self._raw:
\nerrors.append(f"\u7f3a\u5c11\u5fc5\u586b\u5b57\u6bb5：{field}")
\n\u7c7b\u578b\u4e0e\u53d6\u503c\u8303\u56f4\u68c0\u67e5
\nif "max_tokens" in self._raw:
\nmax_tokens = self._raw["max_tokens"]
\nif not isinstance(max_tokens, int) or max_tokens &lt;= 0:
\nerrors.append("max_tokens \u5fc5\u987b\u662f\u6b63\u6574\u6570")
\nif "temperature" in self._raw:
\ntemp = self._raw["temperature"]
\nif not isinstance(temp, (int, float)) or not 0 &lt;= temp &lt;= 2:
\nerrors.append("temperature \u5fc5\u987b\u5728 0 \u5230 2 \u4e4b\u95f4")
\nif errors:
\nraise ConfigError("；".join(errors))
\n\u5408\u5e76\u9ed8\u8ba4\u503c，\u8fd4\u56de\u89c4\u8303\u5316\u914d\u7f6e
\nnormalized = {
\n"model_name": self._raw.get("model_name"),
\n"max_tokens": self._raw.get("max_tokens"),
\n"temperature": self._raw.get("temperature"),
\n"top_p": self._raw.get("top_p", 1.0),
\n"timeout": self._raw.get("timeout", 30),
\n"retry_count": self._raw.get("retry_count", 3),
\n}
\nreturn normalized
\ndef run(self) -> Dict[str, Any]:
\n"""\u4fbf\u6377\u5165\u53e3：\u5148\u52a0\u8f7d\u518d\u6821\u9a8c，\u4e00\u6b65\u5230\u4f4d\u3002"""
\nself.load()
\nreturn self.validate()
\n\u4f7f\u7528\u793a\u4f8b：\u52a0\u8f7d\u5e76\u6821\u9a8c\u914d\u7f6e
\nif name == "main":
\nvalidator = ConfigValidator("config.json")
\ntry:
\nconfig = validator.run()
\nprint("\u914d\u7f6e\u6821\u9a8c\u901a\u8fc7：", config)
\nexcept ConfigError as exc:
\nprint(f"\u914d\u7f6e\u6821\u9a8c\u5931\u8d25：{exc}")
\nraise SystemExit(1) <\/p>\n
\u4e0a\u8ff0\u5b9e\u73b0\u7684\u5173\u952e\u8bbe\u8ba1\u70b9\u5305\u62ec：<\/p>\n
\u529f\u80fd\u5f00\u53d1\u5b8c\u6210\u540e，\u63a5\u4e0b\u6765\u8fdb\u5165\u6d4b\u8bd5\u4e0e\u9a8c\u8bc1\u9636\u6bb5\u3002\u8fd9\u4e00\u9636\u6bb5\u7684\u76ee\u6807\u662f\u786e\u4fdd\u300c\u914d\u7f6e\u6821\u9a8c\u5668\u300d\u5728\u591a\u79cd\u73af\u5883\u4e0b\u90fd\u80fd\u7a33\u5b9a\u8fd0\u884c\u3002\u6211\u6309\u7167\u9879\u76ee\u89c4\u8303\u8865\u5145\u4e86\u5355\u5143\u6d4b\u8bd5，\u5e76\u5728\u672c\u5730\u8dd1\u901a\u4e86\u5168\u90e8\u7528\u4f8b，\u968f\u540e\u63d0\u4ea4 PR \u89e6\u53d1 CI\u3002\u7136\u800c，CI \u5728 Python 3.9 \u73af\u5883\u4e0b\u610f\u5916\u5931\u8d25，\u800c\u672c\u5730 Python 3.11 \u5374\u4e00\u5207\u6b63\u5e38\u3002\u4e0b\u9762\u5b8c\u6574\u8fd8\u539f\u8fd9\u6b21\u6392\u67e5\u8fc7\u7a0b\u3002<\/p>\n
CI \u5931\u8d25\u4fe1\u606f\u6307\u5411\u4e00\u4e2a\u7c7b\u578b\u6ce8\u89e3\u76f8\u5173\u7684\u65ad\u8a00\u9519\u8bef，\u4f46\u672c\u5730\u65e0\u6cd5\u590d\u73b0\u3002\u4e3a\u4e86\u5b9a\u4f4d\u95ee\u9898，\u6211\u6309\u4ee5\u4e0b\u6b65\u9aa4\u9010\u6b65\u590d\u73b0：<\/p>\n
\u4e3a\u4e86\u5265\u79bb\u4e1a\u52a1\u5e72\u6270，\u6211\u6784\u9020\u4e86\u4e00\u4e2a\u6700\u5c0f\u590d\u73b0\u811a\u672c，\u805a\u7126\u4e8e typing \u6cdb\u578b\u4e0e __name__ \u5c5e\u6027\u7684\u4ea4\u4e92：<\/p>\n
# repro_typing_name.py
\n"""\u6700\u5c0f\u590d\u73b0：Python 3.9 \u4e0b typing \u6cdb\u578b __name__ \u5c5e\u6027\u5dee\u5f02\u3002"""
\nfrom typing import Dict, List, Optional, TypeVar
\nT = TypeVar("T")
\ndef describe_type(tp) -> str:
\n"""\u5c1d\u8bd5\u8bfb\u53d6\u7c7b\u578b\u5bf9\u8c61\u7684 name \u5c5e\u6027\u3002"""
\nreturn tp.name
\n\u5728 Python 3.9 \u4e2d，\u4ee5\u4e0b\u6cdb\u578b\u522b\u540d\u6ca1\u6709 name \u5c5e\u6027
\nfor alias in (Dict[str, int], List[str], Optional[int]):
\ntry:
\nprint(f"{alias}: {describe_type(alias)}")
\nexcept AttributeError as exc:
\nprint(f"{alias}: AttributeError – {exc}") <\/p>\n
\u5728 Python 3.9 \u4e0b\u8fd0\u884c\u8be5\u811a\u672c，\u8f93\u51fa\u5982\u4e0b：<\/p>\n
Dict[str, int]: AttributeError – type object 'Dict[str, int]' has no attribute '__name__'
\nList[str]: AttributeError – type object 'List[str]' has no attribute '__name__'
\nOptional[int]: AttributeError – type object 'Optional[int]' has no attribute '__name__' <\/p>\n
\u800c\u5728 Python 3.10 \u53ca\u4ee5\u4e0a\u7248\u672c\u4e2d，typing \u6cdb\u578b\u522b\u540d\u5f00\u59cb\u5177\u5907 __name__ \u5c5e\u6027，\u811a\u672c\u53ef\u4ee5\u6b63\u5e38\u8f93\u51fa\u7c7b\u578b\u540d\u79f0\u3002\u8fd9\u6b63\u662f CI \u4e0e\u672c\u5730\u884c\u4e3a\u4e0d\u4e00\u81f4\u7684\u6839\u6e90\u3002<\/p>\n
\u95ee\u9898\u6839\u56e0\u5728\u4e8e Python 3.9 \u4e0e 3.10+ \u4e4b\u95f4 typing \u6a21\u5757\u5185\u90e8\u5b9e\u73b0\u7684\u5dee\u5f02：<\/p>\n
\u8fd9\u4e00\u5dee\u5f02\u5c5e\u4e8e\u8de8\u7248\u672c\u884c\u4e3a\u53d8\u66f4，\u672c\u5730 Python 3.11 \u65e0\u6cd5\u66b4\u9732，\u53ea\u6709\u901a\u8fc7\u591a\u7248\u672c\u6d4b\u8bd5\u77e9\u9635\u624d\u80fd\u63d0\u524d\u53d1\u73b0\u3002<\/p>\n
\u4fee\u590d\u65b9\u6848\u662f\u907f\u514d\u76f4\u63a5\u4f9d\u8d56 __name__ \u5c5e\u6027，\u6539\u7528\u66f4\u7a33\u5065\u7684\u65b9\u5f0f\u83b7\u53d6\u7c7b\u578b\u540d\u79f0\u3002\u5177\u4f53\u4fee\u6539\u5982\u4e0b：<\/p>\n
# config_validator.py（\u4fee\u590d\u7247\u6bb5）
\nfrom typing import Any, Dict, List, Optional, get_origin
\ndef _type_name(tp: Any) -> str:
\n"""\u8de8\u7248\u672c\u5b89\u5168\u5730\u83b7\u53d6\u7c7b\u578b\u540d\u79f0\u3002
\nPython 3.9 \u7684 typing \u6cdb\u578b\u522b\u540d\u6ca1\u6709 __name__ \u5c5e\u6027，
\n\u9700\u8981\u56de\u9000\u5230 __origin__ \u6216 repr \u6765\u83b7\u53d6\u53ef\u8bfb\u540d\u79f0\u3002
\n"""
\nname = getattr(tp, "__name__", None)
\nif name is not None:
\n return name
\norigin = get_origin(tp)
\nif origin is not None:
\n return getattr(origin, "__name__", repr(tp))
\nreturn repr(tp)
\n\u4f7f\u7528\u793a\u4f8b
\ndef _validate_field_type(self, field: str, value: Any, expected: Any) -> None:
\nactual_type = type(value)
\nif not isinstance(value, expected):
\nraise ConfigError(
\nf"\u5b57\u6bb5 {field} \u7c7b\u578b\u9519\u8bef：\u671f\u671b {_type_name(expected)}，"
\nf"\u5b9e\u9645\u4e3a {_type_name(actual_type)}"
\n) <\/p>\n
\u4fee\u590d\u8981\u70b9：<\/p>\n
\u4fee\u590d\u540e，\u6211\u5728 Python 3.9\u30013.10\u30013.11 \u4e09\u4e2a\u7248\u672c\u4e0b\u5206\u522b\u8fd0\u884c\u6d4b\u8bd5，\u5168\u90e8\u901a\u8fc7\u3002\u91cd\u65b0\u63d0\u4ea4 PR \u540e，CI \u7684\u5b8c\u6574\u6d4b\u8bd5\u77e9\u9635\u4e5f\u987a\u5229\u901a\u8fc7，\u95ee\u9898\u5f7b\u5e95\u89e3\u51b3\u3002<\/p>\n
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\u4e00\u4efd\u597d\u7684 PR \u63cf\u8ff0\u80fd\u8ba9\u7ef4\u62a4\u8005\u5feb\u901f\u7406\u89e3\u53d8\u66f4\u610f\u56fe，\u51cf\u5c11\u6765\u56de\u6c9f\u901a\u6210\u672c\u3002\u6211\u6309\u7167\u9879\u76ee\u6a21\u677f，\u4ece\u80cc\u666f\u3001\u6539\u52a8\u3001\u9a8c\u8bc1\u4e09\u4e2a\u7ef4\u5ea6\u7ec4\u7ec7\u63cf\u8ff0：<\/p>\n
PR \u6807\u9898\u6211\u91c7\u7528\u4e86\u300cfix: \u517c\u5bb9 Python 3.9 typing \u6cdb\u578b __name__ \u5c5e\u6027\u300d\u7684\u683c\u5f0f，\u8ba9\u7ef4\u62a4\u8005\u4e00\u773c\u770b\u51fa\u53d8\u66f4\u7c7b\u578b\u4e0e\u76ee\u6807\u3002<\/p>\n
\u63d0\u4ea4 PR \u540e，\u7ef4\u62a4\u8005\u5f88\u5feb\u7ed9\u51fa\u4e86\u5ba1\u67e5\u610f\u89c1\u3002\u4e3b\u8981\u53cd\u9988\u96c6\u4e2d\u5728\u4e24\u70b9：\u4e00\u662f\u5e0c\u671b\u8865\u5145\u9488\u5bf9 _type_name() \u7684\u5355\u5143\u6d4b\u8bd5，\u4e8c\u662f\u5efa\u8bae\u628a\u56de\u9000\u903b\u8f91\u5c01\u88c5\u5f97\u66f4\u901a\u7528，\u4fbf\u4e8e\u540e\u7eed\u590d\u7528\u3002\u6211\u9010\u4e00\u56de\u590d\u5e76\u843d\u5b9e：<\/p>\n
\u5ba1\u67e5\u8fc7\u7a0b\u4e2d，\u7ef4\u62a4\u8005\u8fd8\u5efa\u8bae\u5728\u9519\u8bef\u4fe1\u606f\u4e2d\u540c\u65f6\u5c55\u793a\u671f\u671b\u7c7b\u578b\u4e0e\u5b9e\u9645\u7c7b\u578b，\u6211\u91c7\u7eb3\u540e\u66f4\u65b0\u4e86 _validate_field_type() \u7684\u63d0\u793a\u6587\u6848，\u8ba9\u62a5\u9519\u66f4\u76f4\u89c2\u3002<\/p>\n
\u6839\u636e\u5ba1\u67e5\u610f\u89c1\u5b8c\u6210\u4fee\u6539\u540e，\u6211\u91cd\u65b0\u63d0\u4ea4\u4e86\u4ee3\u7801，CI \u81ea\u52a8\u89e6\u53d1\u5b8c\u6574\u6d4b\u8bd5\u77e9\u9635\u3002\u8fd9\u6b21\u6240\u6709 Python \u7248\u672c（3.9\u30013.10\u30013.11）\u7684\u6d4b\u8bd5\u5168\u90e8\u901a\u8fc7，\u5305\u62ec\u65b0\u589e\u7684\u5355\u5143\u6d4b\u8bd5\u7528\u4f8b\u3002<\/p>\n
CI \u901a\u8fc7\u540e，\u7ef4\u62a4\u8005\u5728 PR \u4e0a\u6807\u8bb0\u4e86\u300cApproved\u300d，\u5e76\u8be2\u95ee\u662f\u5426\u9700\u8981\u6211\u534f\u52a9\u8865\u5145\u6587\u6863\u3002\u6211\u501f\u6b64\u673a\u4f1a\u66f4\u65b0\u4e86 README \u4e2d\u5173\u4e8e\u914d\u7f6e\u6821\u9a8c\u5668\u7684\u4f7f\u7528\u8bf4\u660e，\u8865\u5145\u4e86\u8de8\u7248\u672c\u517c\u5bb9\u7684\u6ce8\u610f\u4e8b\u9879\u3002\u6700\u7ec8，\u7ef4\u62a4\u8005\u5c06 PR \u5408\u5165\u4e3b\u7ebf，\u5e76\u7559\u8a00\u611f\u8c22\u8fd9\u6b21\u8d21\u732e\u3002<\/p>\n
\u5408\u5165\u540e，\u6211\u7b2c\u4e00\u65f6\u95f4\u62c9\u53d6\u6700\u65b0\u4e3b\u7ebf\u4ee3\u7801，\u786e\u8ba4\u300c\u914d\u7f6e\u6821\u9a8c\u5668\u300d\u6a21\u5757\u5728\u4e3b\u7ebf\u4e2d\u6b63\u5e38\u5de5\u4f5c，\u5e76\u5173\u95ed\u4e86\u6700\u521d\u8ba4\u9886\u7684 Issue，\u9644\u4e0a\u5408\u5165\u7684 PR \u94fe\u63a5\u4f5c\u4e3a\u95ed\u73af\u8bb0\u5f55\u3002<\/p>\n
\u56de\u987e\u8fd9\u6b21\u4ece\u96f6\u53c2\u4e0e DeepSeek Harness \u5f00\u6e90\u8d21\u732e\u7684\u5b8c\u6574\u65c5\u7a0b，\u6536\u83b7\u7684\u4e0d\u4ec5\u662f\u300c\u914d\u7f6e\u6821\u9a8c\u5668\u300d\u8fd9\u4e00\u529f\u80fd\u88ab\u5408\u5165\u4e3b\u7ebf，\u66f4\u662f\u4e00\u6574\u5957\u53ef\u590d\u7528\u7684\u5de5\u7a0b\u65b9\u6cd5\u4e0e\u534f\u4f5c\u7ecf\u9a8c\u3002\u4e0b\u9762\u5148\u603b\u7ed3\u672c\u6b21\u8d21\u732e\u7684\u6838\u5fc3\u6536\u83b7，\u518d\u6574\u7406\u4e00\u4efd\u7ecf\u9a8c\u6e05\u5355，\u6700\u540e\u8c08\u8c08\u540e\u7eed\u53c2\u4e0e\u5f00\u6e90\u7684\u8ba1\u5212\u3002<\/p>\n
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\u5f00\u6e90\u8d21\u732e\u662f\u4e00\u6761\u6301\u7eed\u6210\u957f\u7684\u8def，\u6bcf\u4e00\u6b21\u5408\u5165\u90fd\u662f\u65b0\u7684\u8d77\u70b9\u3002\u5e0c\u671b\u8fd9\u4efd\u624b\u8bb0\u80fd\u5e2e\u52a9\u66f4\u591a\u8bfb\u8005\u8fc8\u51fa\u7b2c\u4e00\u6b65，\u4e5f\u671f\u5f85\u5728 DeepSeek Harness \u793e\u533a\u770b\u5230\u66f4\u591a\u65b0\u9762\u5b54\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u6458\u8981：\u672c\u6587\u8bb0\u5f55\u4f5c\u8005\u4ece\u96f6\u53c2\u4e0e DeepSeek Harness \u5f00\u6e90\u8d21\u732e\u7684\u5b8c\u6574\u6d41\u7a0b，\u6db5\u76d6\u73af\u5883\u642d\u5efa\u3001Issue \u8ba4\u9886\u3001\u4ee3\u7801\u5f00\u53d1\u3001\u6d4b\u8bd5\u6392\u67e5\u3001PR \u63d0\u4ea4\u4e0e\u6700\u7ec8\u5408\u5165\u4e3b\u7ebf\u3002\u901a\u8fc7\u300c\u914d\u7f6e\u6821\u9a8c\u5668\u300d\u529f\u80fd\u5b9e\u4f8b，\u91cd\u70b9\u8fd8\u539f\u4e86 Python 3.9 \u4e0b typing \u6cdb\u578b __name__ \u5c5e\u6027\u5dee\u5f02\u5f15\u53d1\u7684 CI \u5931\u8d25\u6392\u67e5\u8fc7\u7a0b，\u5e76\u63d0\u70bc\u51fa\u7248\u672c\u5dee\u5f02\u4f18\u5148\u6392\u67e5\u3001\u5584\u7528\u6700\u5c0f\u590d\u73b0\u3001\u591a\u7248\u672c\u6d4b\u8bd5\u77e9\u9635\u7b49\u53ef\u590d\u7528\u7ecf\u9a8c，\u4e3a\u6709\u610f\u53c2\u4e0e\u5f00\u6e90\u8d21\u732e\u7684\u8bfb\u8005\u63d0\u4f9b\u5b9e\u7528\u53c2\u8003\u3002 <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[11653,50,323,61,227,2215],"topic":[],"class_list":["post-113946","post","type-post","status-publish","format-standard","hentry","category-server","tag-11653","tag-50","tag-323","tag-61","tag-227","tag-2215"],"yoast_head":"\n