{
  "id": "python/unittest-skip-unless-import-error",
  "signature": "unittest.SkipTest: Skipped: 'numpy' is not installed",
  "signature_zh": "unittest.SkipTest: 跳过：'numpy' 未安装",
  "regex": "unittest\\.SkipTest:\\ Skipped:\\ 'numpy'\\ is\\ not\\ installed",
  "domain": "python",
  "category": "runtime_error",
  "subcategory": null,
  "root_cause": "使用 @unittest.skipUnless 但条件判断错误，导致测试被意外跳过。",
  "root_cause_type": "generic",
  "root_cause_zh": "使用 @unittest.skipUnless 但条件判断错误，导致测试被意外跳过。",
  "versions": [
    {
      "version": "3.10",
      "introduced": null,
      "deprecated": null,
      "removed": null,
      "behavior_change": null,
      "status": "active"
    }
  ],
  "os_specific": {},
  "dead_ends": [
    {
      "action": "在测试内部 try/except",
      "why_fails": "尝试使用 try/except ImportError 包裹整个测试，但跳过逻辑不灵活",
      "fail_rate": 0.4,
      "condition": "",
      "sources": []
    },
    {
      "action": "手动设置标志",
      "why_fails": "尝试手动设置 skip 标志但忘记恢复",
      "fail_rate": 0.3,
      "condition": "",
      "sources": []
    }
  ],
  "workarounds": [
    {
      "action": "使用 find_spec 检查",
      "success_rate": 0.95,
      "how": "@unittest.skipUnless(importlib.util.find_spec('numpy'), 'numpy not installed')\ndef test_numpy(self): pass",
      "condition": "",
      "sources": []
    },
    {
      "action": "模块级导入检查",
      "success_rate": 0.9,
      "how": "try:\n    import numpy\nexcept ImportError:\n    numpy = None\n@unittest.skipIf(numpy is None, 'numpy missing')\ndef test(...):",
      "condition": "",
      "sources": []
    }
  ],
  "workarounds_zh": [],
  "transition_graph": {
    "leads_to": [],
    "preceded_by": [],
    "frequently_confused_with": []
  },
  "official_doc_url": null,
  "official_doc_section": null,
  "error_code": null,
  "verification_tier": "ai_generated",
  "confidence": 0.87,
  "fix_success_rate": 0.8,
  "resolvable": "true",
  "first_seen": "2024-12-01",
  "last_confirmed": "2025-01-01",
  "last_updated": "2025-01-01",
  "evidence_count": 0,
  "tags": [],
  "locale": "en",
  "aliases": []
}