OC - runtime 之关联对象

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EPmY9PL3ykEzxkSre/1ZD6z/NuznuB0RcE1TWTm9zRgfUWVJiG6yrzgmWPXC8EAR4Wxhlad0ZbgQyEz3pG5RVEwwDJH2mgKpjcTiCOzn1lfUWANFbZ2BA8balnEweJC9J0iuaeZoI+ippFCztEKVvckR2iice1JvhVytrQwUAZpgsubCPaU7xUe9vWnaOpaSBEspalykhC9bUlOMpT42ZHca6hyrqKmw/wMR8H5ZmdFoBVJb03O4UL0tSNnvIeRmkrLWqrs78gcrEn2tpcboh0UPOW3UUR9PMk4T4nnNKWmCjlrefhCwxRNztfmIQVdDElvS4m1/WuOujoZCs5XVOjtKPGokJzsYCtFYoWonSPT21DheU/wWhM19FcElwqNGOsp9Q8N/cwXaiND1MmeL1Q5XROtYYgGeFq1aTMsoMmcrKjQrOFQTQ1fmBYhmW6o8Jkjc7iDJRTBIo5kgJD5yMEYA3srCg7VFKwiVJkmRCc5ohGOKhsYMn/XBLdo5taZjlb9YAlGWRimqbCsoY7HFAXLa5I1HPRxMMsQDHFkWtRNniqT9UEeNjcE7RUlrCJ4R2CSJuqlKHWvJXjAUNcITYkenuBRB84TbeepcqTj3zZyFJzgYQdHnqfgI0ddUwS6GqWpsKWhjq9cV0vBAEMN2znq+EBfIWT+pClYw5xsTlJU6GeIBsjGmmANTzJZiIYpgrM0Oa8ZMjd7NP87jxhqGOhJlnQtjuQpB+8aEE00wZFznSJPyHxgH3HkPOsJFvYk8zqCHzTs1BYOa4J3PFU+UVRZxlHDM4YavlNUuMoRveiZA2d7grMNc2g+RbSCEKzmgYsUmWmazFJyoiOZ4KnyhKOGRzWJa0+moyV4TVHDzn51Awtqaphfk/lRQ08FX1iiqxTB/kLwd0VynKfEvI6cd4XMV5bMhZ7gZUWVzYQ6Nm2BYzxJbw3bGthEUUMfgbGeorae6DxHtJoZ6alhZ0+ytiVoK1R4z5PTrOECT/SugseEOlb1MMNR4VRNcJy+V1Hg9ONClSZFZjdHlc6W6FBLdJja2MC5hhpu0DBYEY1TFGwiFAxRRCsYkiM9JRb0JNMVkW6CZYT/2EiTGWmo8k+h4FhDNE7BvppoTSFnmCV5xZKzvcCdDo7VVPnIU+I+Rc68juApC90MwcFCsJ5hDqxgScYKreruyQwTqrzoqDCmhWi4IbhB0Yrt3RGa6GfDv52rKXWhh28dyZaWUvcZeMTBaZoSGyiCtRU5J8iviioHaErs7Jkj61syVzTTgOcUOQ8buFBTYWdL5g3T4qlpe0+wvD63heAXRfCCIed9RbCsp2CiI7raUOYOTU13N8PNHvpaGvayo4a3LLT1lDrVEPT2zLUlheB1R+ZTRfKWJ+dcocLJfi11vyJ51lLqJ0WD7tRwryezjiV5W28uJO9qykzX8JDe2lHl/9oyBwa2UMfOngpXCixvKdXTk3wrsKmiVYdZIqsoWEERjbcUNDuiaQomGoIbFdEHmsyWnuR+IeriKDVLnlawlyNHKwKlSU631PKep8J4Q+ayjkSLKYLhalNHlYvttb6fHm0p6OApsZ4l2VfdqZkjuysy6ysKLlckf1KUutCTs39bmCgEyyoasIWlVaMF7mgmWtBT8Kol5xpH9IGllo8cJdopcvZ2sImlDmMIbtDk3KIpeNiS08lQw11NFPTwVFlPP6pJ2gvRfI7gQUfmNAtf6Gs0wQxDsKGlVBdF8rCa3jzdwMaGHOsItrZk7hAyOzpK9VS06j5F49b0VNGOOfKs3lDToMsMBe9ZWtHFEgxTJLs7qrygKZjUnmCYoeAqeU6jqWuLJup4WghOdvCYJnrSkSzoyRkm5M2StQwVltPkfCAk58tET/CSg+8MUecmotMEnhBKfWBIZsg2ihruMJQaoIm+tkTLKEqspMh00w95gvFCQRtDwTT1gVDDSEVdlwqZfxoQRbK0g+tbiBZxzKlpnpypejdDwTaeOvorMk/IJE10h9CqRe28hhLbe0pMsdSwv4ZbhKivo2BjDWfL8UKJgeavwlwb5KlwhyE4u4XkGE2ytZCznKLCDZZq42VzT8HLCrpruFbIfOIINmh/qCdZ1ZBc65kLHR1Bkyf5zn6pN3SvGKIlFNGplhrO9QSXanLOMQTLCa0YJCRrCZm/CZmrLTm7WzCK4GJDiWUdFeYx1LCFg3NMd0XmCuF3Y5rITLDUsYS9zoHVzwnJoYpSTQoObyEzr4cFBNqYTopoaU/wkyLZ2lPhX/5Y95ulxGTV7KjhWrOZgl8MyUUafjYraNjNU1N3IWcjT5WzWqjwtoarHSUObGYO3GCJZpsBlnJGPd6ZYLyl1GdCA2625IwwJDP8GUKymbzuyPlZlvTUsaUh5zFDhRWFzPKKZLAlWdcQbObgF9tOqOsmB1dqcqYJmWstFbZRRI9poolmqiLnU0POvxScpah2iSL5UJNzgScY5+AuIbpO0YD3NCW+dLMszFSdFCWGqG6eVq2uYVNDdICGD6W7EPRWZEY5gpsE9rUkS3mijzzJnm6UpUFXG1hCUeVoS5WfNcFpblELL2qqrCvMvRfd45oalvKU2tiQ6ePJOVMRXase9iTtLJztPxJKLWpo2CRDcJwn2sWSLKIO1WQWNTCvpVUvOZhgSC40JD0dOctaSqzkCRbXsKlb11Oip6PCJ0IwSJM31j3akRxlP7Rwn6aGaUL0qiLnJkvB3xWZ2+Q1TfCwpQH3G0o92UzmX4o/oJNQMMSQc547wVHhdk+VCw01DFYEnTxzZKAm74QmeNNR1w6WzEhNK15VJzuCdxQ53dRUDws5KvwgBMOEgpcVNe0hZI6RXT1Jd0cyj5nsaEAHgVmGaJIlWdsc5Ui2ElrRR6jrRAttNMEAIWrTDFubkZaok7/AkzfIwfuWVq0jHzuCK4QabtLUMVPB3kJ0oyHTSVFlqMALilJf2Rf8k5aaHtMfayocLBS8L89oKoxpJvnAkDPa0qp5DAUTHKWmCcnthlou8iCKaFFLHWcINd1nyIwXqrSxMNmSs6KmoL2QrKuWtlQ5V0120xQ5vRyZS1rgFkWwhiOwiuQbR0OOVhQM9iS3tiXp4RawRPMp5tDletOOBL95MpM01dZTBM9pkn5qF010rIeHFcFZhmSGpYpTsI6nwhqe5C9ynhlpp5ophuRb6WcJFldkVnVEwwxVfrVkvnWUuNLCg5bgboFHPDlDPDmnK7hUrWiIbjadDclujlZcaokOFup4Ri1kacV6jmrrK1hN9bGwpKEBQ4Q6DvIUXOmo6U5LqQM6EPyiKNjVkPnJkDPNEaxhiFay5ExW1NXVUGqcpYYdPcGiCq7z/TSlbhL4pplWXKd7NZO5QQFrefhRQW/NHOsqcIglc4UhWklR8K0QzbAw08CBDnpbgqXdeD/QUsM4RZXDFBW6WJKe/mFPdH0LtBgiq57wFLzlyQzz82qYx5D5WJP5yVJDW01BfyHnS6HKO/reZqId1WGa4Hkh2kWodJ8i6KoIPlAj2hPt76CzXsVR6koPRzWTfKqIentatYpQw2me4AA3y1Kind3SwoOKZDcFXTwl9tWU6mfgRk9d71sKtlNwrjnYw5tC5n5LdKiGry3JKNlHEd3oaMCFHrazBPMp/uNJ+V7IudcSbeOIdjUEdwl0VHCOZo5t6YluEuaC9mQeMgSfOyKnYGFHcIeQ84yQWbuJYJpZw5CzglDH7gKnWqqM9ZTaXcN0TeYhR84eQtJT76JJ1lREe7WnnvsMmRc9FQ7SBBM9mV3lCUdmHk/S2RAMt0QjFNFqQpWjDPQ01DXWUdDBkXziKPjGEP3VP+zIWU2t7im41FOloyWzn/L6dkUy3VLDaZ6appgDLHPjJEsyvJngWEPUyVBiAaHCTEXwrLvSEbV1e1gKJniicWorC1MUrVjB3uDhJE/wgSOzk1DXpk0k73qCM8xw2UvD5kJmDUfOomqMpWCkJRlvKXGmoeBm18USjVIk04SClxTB6YrgLAPLWYK9HLUt5cmc0vYES8GnTeRc6skZbQkWdxRsIcyBRzx1DbTk9FbU0caTPOgJHhJKnOGIVhQqvKmo0llRw9sabrZkDtdg3PqaKi9oatjY8B+G371paMg6+mZFNNtQ04mWBq3rYLOmtWWQp8KJnpy9DdFensyjdqZ+yY40VJlH8wcdLzC8PZnvHMFUTZUrDTkLyQaGus5X5LzpYAf3i+e/ZlhqGqWhh6Ou6xTR9Z6oi5AZZtp7Mj2EEm8oSpxiYZCHU/1fbGdNNNRRoZMhmilEb2gqHOEJDtXkHK/JnG6IrvbPCwV3NhONVdS1thBMs1T4QOBcTWa2IzhMk2nW5Kyn9tXUtpv9RsG2msxk+ZsQzRQacJncpgke0+T8y5Fzj8BiGo7XlJjaTIlpQs7KFjpqGnKuoyEPeIKnFMkZHvopgh81ySxNFWvJWcKRs70j2FOT012IllEEO1n4pD1513Yg2ssQPOThOkvyrqHUdEXOSEsihmBbTbKX1kLBPWqWkLOqJbjB3GBIZmoa8qWl4CG/iZ7oiA72ZL7TJNeZUY7kFQftDcHHluBzRbCegzMtrRjVQpX2lgoPKKLJAkcbMl01XK2p7yhL8pCBbQ3BN2avJgKvttcrWDK3CiUOVxQ8ZP+pqXKyIxnmBymCg5vJjNfkPK4+c8cIfK8ocVt7kmfd/I5SR1hKvCzUtb+lhgc00ZaO6CyhIQP1Uv4yIZjload72PXX0OIJvnFU+0Zf6MhsJwTfW0r0UwQfW4LNLZl5HK261JCZ4qnBaAreVAS3WrjV0LBnNDUNNDToCEeFfwgcb4gOEqLRhirWkexrCEYKVV711DLYEE1XBEsp5tpTGjorkomKYF9FDXv7fR3BGwbettSxnyL53MBPjsxDZjMh+VUW9NRxq1DhVk+FSxQcaGjV9Pawv6eGByw5qzoy7xk4RsOShqjJwWKe/1pEEfzkobeD/dQJmpqedcyBTy2sr4nGNRH0c0SPWTLrqAc0OQcb/gemKgqucQT7ySWKCn2EUotoCvpZct7RO2sy/QW0IWcXd7pQRQyZVwT2USRO87uhjioTLKV2brpMUcMQRbKH/N2T+UlTpaMls6cmc6CCNy3JdYYSUzzJQ4oSD3oKLncULOiJvjBEC2oqnCJkJluCYy2ZQ5so9YYlZ1VLlQU1mXEW1jZERwj/MUSRc24TdexlqLKfQBtDTScJUV8FszXBEY5ktpD5Ur9hYB4Nb1iikw3JoYpkKX+RodRKFt53MMuRnKSpY31PwYaGaILh3wxJGz9TkTPEETxoCWZrgvOlmyMzxFEwVJE5xZKzvyJ4WxEc16Gd4Xe3Weq4XH2jKRikqOkGQ87hQnC7wBmGYLAnesX3M+S87eFATauuN+Qcrh7xIxXJbUIdMw3JGE3ylCWzrieaqCn4zhGM19TQ3z1oH1AX+pWEqIc7wNGAkULBo/ZxRaV9NNyh4Br3rCHZzbzmSfawBL0dNRwpW1kK9mxPXR9povcdrGSZK9c2k0xwFGzjuniCtRSZCZ6ccZ7gaktmgAOtKbG/JnOkJrjcQTdFMsxRQ2cLY3WTIrlCw1eWKn8R6pvt4GFDso3QoL4a3nLk3G6JrtME3dSenpx7PNFTmga0EaJTLQ061sEeQoWXhSo9LTXsaSjoJQRXeZLtDclbCrYzfzHHeaKjHCVOUkQHO3JeEepr56mhiyaYYKjjNU+Fed1wS5VlhWSqI/hYUdDOkaxiKehoyOnrCV5yBHtbWFqTHCCwtpDcYolesVR5yUzTZBb3RNMd0d6WP+SvhuBmRcGxnuQzT95IC285cr41cLGQ6aJJhmi4TMGempxeimBRQw1tFKV+8jd6KuzoSTqqDxzRtpZkurvKEHxlqXKRIjjfUNNXQsNOsRScoWFLT+YeRZVD3GRN0MdQcKqQjHDMrdGGVu3iYJpQx3WGUvfbmxwFfR20WBq0oYY7LMFhhgYtr8jpaEnaOzjawWWaTP8mMr0t/EPDPoqcnxTBI5o58L7uoWnMrpoqPwgVrlAUWE+V+TQl9rawoyP6QGAlQw2TPRX+YSkxyBC8Z6jhHkXBgQL7WII3DVFnRfCrBfxewv9D6xsyjys4VkhWb9pUU627JllV0YDNHMku/ldNMMXDEo4aFnAkk4U6frNEU4XgZUPmEKHUl44KrzmYamjAbh0JFvGnaTLPu1s9jPCwjFpYiN7z1DTOk/nc07CfDFzmCf7i+bfNHXhDtLeBXzTBT5rkMvWOIxpl4EMh2LGJBu2syDnAEx2naEhHDWMMzPZEhygyS1mS5RTJr5ZkoKbEUoYqr2kqdDUE8ztK7OaIntJkFrIECwv8LJTaVx5XJE86go8dFeZ3FN3rjabCAYpoYEeC9zzJVULBbmZhDyd7ko09ydpNZ3nm2Kee4FPPXHnYEF1nqOFEC08LUVcDvYXkJHW8gTaKCk9YGOeIJhqiE4ToPEepdp7IWFjdwnWaufGMwJJCMtUTTBBK9BGCOy2tGGrJTHIwyEOzp6aPzNMOtlZkDvcEWpP5SVNhfkvDxhmSazTJXYrM9U1E0xwFVwqZQwzJxw6+kGGGUj2FglGGmnb1/G51udRSMNlTw6GGnCcUwVcOpmsqTHa06o72sw1RL02p9z0VbnMLOaIX3QKaYKSCFQzBKEUNHTSc48k53RH9wxGMtpQa5KjjW0W0n6XCCCG4yxNNdhQ4R4l1Ff+2sSd6UFHiIEOyqqFgT01mEUMD+joy75jPhOA+oVVLm309FR4yVOlp4RhLiScNmSmaYF5Pw0STrOIoWMSR2UkRXOMp+M4SHW8o8Zoi6OZgjKOaFar8zZDzkWzvKOjkKBjmCXby8JahhjXULY4KlzgKLvAwxVGhvyd4zxB1d9T0piazmKLCVZY5sKiD0y2ZSYrkUEPUbIk+dlQ4SJHTR50k1DPaUWIdTZW9NJwnJMOECgd7ou/MnppMJ02O1VT4Wsh85MnZzcFTngpXGKo84qmwgKbCL/orR/SzJ2crA+t6Mp94KvxJUeIbT3CQu1uIdlQEOzlKfS3UMcrTiFmOuroocrZrT2AcmamOKg8YomeEKm/rlT2sociMaybaUlFhuqHCM2qIJ+rg4EcDFymiDSxzaHdPcpE62pD5kyM5SBMoA1PaUtfIthS85ig1VPiPPYXgYEMNk4Qq7TXBgo7oT57gPUdwgCHzhIVFPFU6OYJzHAX9m5oNrVjeE61miDrqQ4VSa1oiURTsKHC0IfjNwU2WzK6eqK8jWln4g15TVBnqmDteCJ501PGAocJhhqjZdtBEB6lnhLreFJKxmlKbeGrqLiSThVIbCdGzloasa6lpMQXHCME2boLpJgT7yWaemu6wBONbqGNVRS0PKIL7LckbjmQtR7K8I5qtqel+T/ChJTNIKLjdUMNIRyvOEko9YYl2cwQveBikCNawJKcLBbc7+JM92mysNvd/Fqp8a0k6CNEe7cnZrxlW0wQXaXjaktnRwNOGZKYiONwS7a1JVheq3WgJHlQUGKHKmp4KAxXR/ULURcNgoa4zhKSLpZR3kxRRb0NmD0OFn+UCS7CzI1nbP6+o4x47QZE5xRCt3ZagnYcvmpYQktXdk5YKXTzBC57kKEe0VVuiSYqapssMS3C9p2CKkHOg8B8Pa8p5atrIw3qezIWanMGa5HRDNF6RM9wcacl0N+Q8Z8hsIkSnaIIdHRUOEebAPy1zbCkhM062FCJtif7PU+UtoVXzWKqM1PxXO8cfdruhFQ/a6x3JKYagvVDhQEtNiyiiSQ7OsuRsZUku0CRNDs4Sog6KKjsZgk2bYJqijgsEenoKeniinRXBn/U3lgpPdyDZynQx8IiioMnCep5Ky8mjGs6Wty0l1hUQTcNWswS3WRp2kCNZwJG8omG8JphPUaFbC8lEfabwP7VtM9yoaNCAjpR41VNhrD9LkbN722v0CoZMByFzhaW+MyzRYEWFDQwN2M4/JiT76PuljT3VU/A36eaIThb+R9oZGOAJ9tewkgGvqOMNRWYjT/Cwu99Q8LqDE4TgbLWxJ1jaDDAERsFOFrobgjUsBScaguXU8kKm2RL19tRypSHnHNlHiIZqgufs4opgQdVdwxBNNFBR6kVFqb8ogimOzB6a6HTzrlDHEpYaxjiiA4TMQobkDg2vejjfwJGWmnbVFAw3H3hq2NyQfG7hz4aC+w3BbwbesG0swYayvpAs6++Ri1Vfzx93mFChvyN5xVHTS+0p9aqCAxyZ6ZacZyw5+7uuQkFPR9DDk9NOiE7X1PCYJVjVUqq7JlrHwWALF5nfHNGjApdpqgzx5OwilDhCiDYTgnc9waGW4BdLNNUQvOtpzDOWHDH8D7TR/A/85KljEQu3NREc4Pl/6B1Hhc8Umb5CsKMmGC9EPcxoT2amwHNCmeOEnOPbklnMkbOgIvO5UMOpQrS9UGVdt6iH/fURjhI/WOpaW9OKLYRod6HCUEdOX000wpDZQ6hwg6LgZfOqo1RfT/CrJzjekXOGhpc1VW71ZLbXyyp+93ILbC1kPtIEYx0FIx1VDrLoVzXRKRYWk809yYlC9ImcrinxtabKnzRJk3lAU1OLEN1j2zrYzr2myHRXJFf4h4QKT1qSTzTB5+ZNTzTRkAxX8FcLV2uS8eoQQ2aAkFzvCM72sJIcJET3WPjRk5wi32uSS9rfZajpWEvj9hW42F4o5NytSXYy8IKHay10VYdrcl4SkqscrXpMwyGOgtkajheSxdQqmpxP1L3t4R5PqasFnrQEjytq6qgp9Y09Qx9o4S1FzhUCn1kyHSzBWLemoSGvOqLNhZyBjmCaAUYpMgt4Ck7wBBMMwWKWgjsUwTaGVsxWC1mYoKiyqqeGKYqonSIRQ3KIkHO0pmAxTdBHkbOvfllfr+AA+7gnc50huVKYK393FOyg7rbPO/izI7hE4CnHHHnJ0ogNPRUGeUpsrZZTBJcrovUcJe51BPsr6GkJdhCCsZ6aTtMEb2pqWkqeVtDXE/QVggsU/Nl86d9RMF3DxvZTA58agu810RWawCiSzzXBeU3MMW9oyJUedvNEvQyNu1f10BSMddR1vaLCYpYa/mGocLSiYDcLbQz8aMn5iyF4xBNMs1P0QEOV7o5gaWGuzSeLue4tt3ro7y4Tgm4G/mopdZgl6q0o6KzJWE3mMksNr3r+a6CbT8g5wZNzT9O7fi/zpaOmnz3BRoqos+tv9zMbdpxsqDBOEewtJLt7cg5wtKKbvldpSzRRCD43VFheCI7yZLppggMVBS/KMAdHODJvOwq2NQSbKKKPLdFWQs7Fqo+mpl01JXYRgq8dnGLhTiFzqmWsUMdpllZdbKlyvSdYxhI9YghOtxR8LgSLWHK62mGGVoxzBE8LNWzqH9CUesQzFy5RQzTc56mhi6fgXEWwpKfE5Z7M05ZgZUPmo6auiv8YKzDYwWBLMErIbKHJvOwIrvEdhOBcQ9JdU1NHQ7CXn2XIDFBKU2WAgcX9UAUzDXWd5alwuyJ41Z9rjKLCL4aCp4WarhPm2rH+SaHUYE001JDZ2ZAzXPjdMpZWvC9wmqIB2lLhQ01D5jO06hghWMndbM7yRJMsoCj1vYbnFQVrW9jak3OlEJ3s/96+p33dEPRV5GxiqaGjIthUU6FFEZyqCa5qJrpBdzSw95IUnOPIrCUUjRZQFrbw5PR0R1qiYx3cb6nrWUMrBmmiBQxVHtTew5ICP/ip6g4hed/Akob/32wvBHsIOX83cI8hGeNeNPCIkPmXe8fPKx84OMSRM1MTdXSwjCZ4S30jVGhvqTRak/OVhgGazHuOCud5onEO1lJr6ecVyaOK6H7zqlBlIaHE0oroCgfvGJIdPcmfLNGLjpz7hZwZQpUbFME0A1cIJa7VNORkgfsMBatbKgwwJM9bSvQXeNOvbIjelg6WWvo5kvbKaJJNHexkKNHL9xRyFlH8Ti2riB5wVPhUk7nGkJnoCe428LR/wRGdYIlmWebCyxou1rCk4g/ShugBDX0V0ZQWkh0dOVsagkM0yV6OoLd5ye+pRlsCr0n+KiQrGuq5yJDzrTAXHtLUMduTDBVKrSm3eHL+6ijxhFDX9Z5gVU/wliHYTMiMFpKLNMEywu80wd3meoFmt6VbRMPenhrOc6DVe4pgXU8DnnHakLOIIrlF4FZPIw6R+zxBP0dyq6OOZ4Q5sLKCcz084ok+VsMMyQhNZmmBgX5xIXOEJTmi7VsGTvMTNdHHhpzdbE8Du2oKxgvBqQKdDDnTFOylCFaxR1syz2iqrOI/FEpNc3C6f11/7+ASS6l2inq2ciTrCCzgyemrCL5SVPjQkdPZUmGy2c9Sw9FtR1sS30RmsKPCS4rkIC/2U0MduwucYolGaPjKEyhzmiPYXagyWbYz8LWBDdzRimAXzxx4z8K9hpzlhLq+NiQ97HuKorMUfK/OVvC2JfiHUPCQI/q7J2gjK+tTDNxkCc4TMssqCs4TGtLVwQihyoAWgj9bosU80XGW6Ac9TJGziaUh5+hnFcHOnlaM1iRn29NaqGENTTTSUHCH2tWTeV0osUhH6psuVLjRUmGWhm6OZEshGeNowABHcJ2Bpy2ZszRcKkRXd2QuKVEeXnbfaEq825FguqfgfE2whlChSRMdron+LATTPQ2Z369t4B9C5gs/ylzv+CMmepIDPclFQl13W0rspPd1JOcbghGOEutqCv5qacURQl3dDKyvyJlqKXGPgcM9FfawJAMVmdcspcYKOZc4GjDYkFlK05olNMHyHn4zFNykyOxt99RkHlfwmiHo60l2EKI+mhreEKp080Tbug08BVPcgoqC5zWt+NLDTZ7oNSF51N1qie7Va3uCCwyZbkINf/NED6jzOsBdZjFN8oqG3wxVunqCSYYKf3EdhJyf9YWGf7tRU2oH3VHgPr1fe5J9hOgHd7xQ0y7qBwXr23aGErP0cm64JVjZwsOGqL+mhNgZmhJLW2oY4UhedsyBgzrCKrq7BmcpNVhR6jBPq64Vgi+kn6XE68pp8J5/+0wRHGOpsKenQn9DZntPzjRLZpDAdD2fnSgkG9tmIXnUwQ6WVighs7Yi2MxQ0N3CqYaCXkJ0oyOztMDJjmSSpcpvlrk0RMMOjmArQ04PRV1DO1FwhCVaUVPpKUM03JK5SxPsIWRu8/CGHi8UHChiqGFDTbSRJWeYUDDcH6vJWUxR4k1FXbMUwV6e4AJFXS8oMqsZKqzvYQ9DDQdZckY4aGsIhtlubbd2r3j4QBMoTamdPZk7O/Bf62lacZwneNjQoGcdVU7zJOd7ghsUHOkosagic6cnWc8+4gg285R6zZP5s1/LUbCKIznTwK36PkdwlOrl4U1LwfdCCa+IrvFkmgw1PCAUXKWo0sURXWcI2muKJlgyFzhynCY4RBOsqCjoI1R5zREco0n2Vt09BQtYSizgKNHfUmUrQ5UOCh51BFcLmY7umhYqXKQomOop8bUnWNNQcIiBcYaC6xzMNOS8JQQfeqKBmmglB+97ok/lfk3ygaHSyZaCRTzRxQo6GzLfa2jWBPepw+UmT7SQEJyiyRkhBLMVOfcoMjcK0eZChfUNzFAUzCsEN5vP/X1uP/n/aoMX+K+nw/Hjr/9xOo7j7Pju61tLcgvJpTWXNbfN5jLpi6VfCOviTktKlFusQixdEKWmEBUKNaIpjZRSSOXSgzaaKLdabrm1/9nZ+/f+vd/vz/v9+Xy+zZ7PRorYoZqyLrCwQdEAixxVOEXNNnjX2nUSRlkqGmWowk8lxR50JPy9Bo6qJXaXwNvREBvnThPEPrewryLhcAnj5WE15Fqi8W7R1sAuEu86S4ENikItFN4xkv9Af4nXSnUVcLiA9xzesFpivRRVeFKtsMRaKBhuSbjOELnAUtlSQUpXgdfB4Z1oSbnFEetbQ0IrAe+Y+pqnDcEJFj6S8LDZzZHwY4e3XONNlARraomNEt2bkvGsosA3ioyHm+6jCMbI59wqt4eeara28IzEmyPgoRaUOEDhTVdEJhmCoTWfC0p8aNkCp0oYqih2iqGi4yXeMkOsn4LdLLnmKfh/YogjNsPebeFGR4m9BJHLzB61XQ3BtpISfS2FugsK9FAtLWX1dCRcrCnUp44CNzuCowUZmxSRgYaE6Za0W2u/E7CVXCiI/UOR8aAm1+OSyE3mOUcwyc1zBBeoX1kiKy0Zfxck1Gsyulti11i83QTBF5Kg3pDQThFMVHiPSlK+0cSedng/VaS8bOZbtsBcTcZAR8JP5KeqQ1OYKAi20njdNNRpgnsU//K+JnaXJaGTomr7aYIphoRn9aeShJWKEq9LcozSF7QleEfDI5LYm5bgVkFkRwVDBCVu0DDIkGupo8TZBq+/pMQURYErJQmPKGKjNDkWOLx7Jd5QizdUweIaKrlP7SwJDhZvONjLkOsBBX9UpGxnydhXkfBLQ8IxgojQbLFnJf81JytSljclYYyEFyx0kVBvKWOFJmONpshGAcsduQY5giVNCV51eOdJYo/pLhbvM0uDHSevNKRcrKZIqnCtJeEsO95RoqcgGK4ocZcho1tTYtcZvH41pNQ7vA0WrhIfOSraIIntIAi+NXWCErdbkvrWwjRLrt0NKUdL6KSOscTOdMSOUtBHwL6OLA0vNSdynaWQEnCpIvKaIrJJEbvHkmuNhn6OjM8VkSGSqn1uYJCGHnq9I3aLhNME3t6GjIkO7xrNFumpyTNX/NrwX7CrIRiqqWijI9JO4d1iieykyfiposQIQ8YjjsjlBh6oHWbwRjgYJQn2NgSnNycmJAk3NiXhx44Sxykihxm8ybUwT1OVKySc7vi3OXVkdBJ4AyXBeksDXG0IhgtYY0lY5ahCD0ehborIk5aUWRJviMA7Xt5kyRjonrXENkm8yYqgs8VzgrJmClK20uMM3jRJ0FiQICQF9hdETlLQWRIb5ki6WDfWRPobvO6a4GP5mcOrNzDFELtTkONLh9dXE8xypEg7z8A9jkhrQ6Fhjlg/QVktJXxt4WXzT/03Q8IaQWSqIuEvloQ2mqC9Jfi7wRul4RX3pSPlzpoVlmCtI2jvKHCFhjcM3sN6lqF6HxnKelLjXWbwrpR4xzuCrTUZx2qq9oAh8p6ixCUGr78g8oyjRAtB5CZFwi80VerVpI0h+IeBxa6Zg6kWvpDHaioYYuEsRbDC3eOmC2JvGYLeioxGknL2UATNJN6hmtj1DlpLvDVmocYbrGCVJKOrg4X6DgddLA203BKMFngdJJFtFd7vJLm6KEpc5yjQrkk7M80SGe34X24nSex1Ra5Omgb71JKyg8SrU3i/kARKwWpH0kOGhKkObyfd0ZGjvyXlAkVZ4xRbYJ2irFMkFY1SwyWxr2oo4zlNiV+7zmaweFpT4kR3kaDAFW6xpSqzJay05FtYR4HmZhc9UxKbbfF2V8RG1MBmSaE+kmC6JnaRXK9gsiXhJHl/U0qM0WTcbyhwkYIvFGwjSbjfwhiJt8ZSQU+Bd5+marPMOkVkD0muxYLIfEuhh60x/J92itguihJSEMySVPQnTewnEm+620rTQEMsOfo4/kP/0ARvWjitlpSX7GxBgcMEsd3EEeYWvdytd+Saawi6aCIj1CkGb6Aj9rwhx16Cf3vAwFy5pyLhVonXzy51FDpdEblbkdJbUcEPDEFzQ8qNmhzzLTmmKWKbFCXeEuRabp6rxbvAtLF442QjQ+wEA9eL1xSR7Q0JXzlSHjJ4exq89yR0laScJ/FW6z4a73pFMEfDiRZvuvijIt86RaSFOl01riV2mD1UEvxGk/Geg5aWwGki1zgKPG9J2U8PEg8qYvMsZeytiTRXBMslCU8JSlxi8EabjwUldlDNLfzTUmCgxWsjqWCOHavYAqsknKFIO0yQ61VL5AVFxk6WhEaCAkdJgt9aSkzXlKNX2jEa79waYuc7gq0N3GDJGCBhoiTXUEPsdknCUE1CK0fwsiaylSF2uiDyO4XX3pFhNd7R4itFGc0k/ElBZwWvq+GC6szVeEoS/MZ+qylwpKNKv9Z469UOjqCjwlusicyTxG6VpNxcQ8IncoR4RhLbR+NdpGGmJWOcIzJGUuKPGpQg8rrG21dOMqQssJQ4RxH5jaUqnZuQ0F4Q+cjxLwPtpZbIAk3QTJHQWBE5S1BokoVtDd6lhqr9UpHSUxMcIYl9pojsb8h4SBOsMQcqvOWC2E8EVehqiJ1hrrAEbQxeK0NGZ0Gkq+guSRgniM23bIHVkqwx4hiHd7smaOyglyIyQuM978j4VS08J/A2G1KeMBRo4fBaSNhKUEZfQewVQ/C1I+MgfbEleEzCUw7mKXI0M3hd1EESVji8x5uQ41nxs1q4RMJCCXs7Iq9acpxn22oSDnQ/sJTxsCbHIYZiLyhY05TY0ZLIOQrGaSJDDN4t8pVaIrsqqFdEegtizc1iTew5Q4ayBDMUsQMkXocaYkc0hZua412siZ1rSXlR460zRJ5SlHGe5j801RLMlJTxtaOM3Q1pvxJ45zUlWFD7rsAbpfEm1JHxG0eh8w2R7QQVzBUw28FhFp5QZzq8t2rx2joqulYTWSuJdTYfWwqMFMcovFmSyJPNyLhE4E10pHzYjOC3huArRa571ZsGajQpQx38SBP5pyZB6lMU3khDnp0MBV51BE9o2E+TY5Ml2E8S7C0o6w1xvCZjf0HkVEHCzFoyNmqC+9wdcqN+Tp7jSDheE9ws8Y5V0NJCn2bk2tqSY4okdrEhx1iDN8cSudwepWmAGXKcJXK65H9to8jYQRH7SBF01ESUJdd0TayVInaWhLkOjlXE5irKGOnI6GSWGCJa482zBI9rCr0jyTVcEuzriC1vcr6mwFGSiqy5zMwxBH/TJHwjSPhL8+01kaaSUuMFKTcLEvaUePcrSmwn8DZrgikWb7CGPxkSjhQwrRk57tctmxLsb9sZvL9LSlyuSLlWkqOjwduo8b6Uv1DkmudIeFF2dHCgxVtk8dpIvHpBxhEOdhKk7OLIUSdJ+cSRY57B+0DgGUUlNfpthTfGkauzxrvTsUUaCVhlKeteTXCoJDCa2NOKhOmC4G1H8JBd4OBZReSRGkqcb/CO1PyLJTLB4j1q8JYaIutEjSLX8YKM+a6phdMsdLFUoV5RTm9JSkuDN8WcIon0NZMNZWh1q8C7SJEwV5HxrmnnTrf3KoJBlmCYI2ilSLlfEvlE4011NNgjgthzEua0oKK7JLE7HZHlEl60BLMVFewg4EWNt0ThrVNEVkkiTwpKXSWJzdRENgvKGq4IhjsiezgSFtsfCUq8qki5S1LRQeYQQ4nemmCkImWMw3tFUoUBZk4NOeZYEp4XRKTGa6wJjrWNHBVJR4m3FCnbuD6aak2WsMTh3SZImGCIPKNgsDpVwnsa70K31lCFJZYcwwSMFcQulGTsZuEaSdBXkPGZhu0FsdUO73RHjq8MPGGIfaGIbVTk6iuI3GFgucHrIQkmWSJdBd7BBu+uOryWAhY7+Lki9rK5wtEQzWwvtbqGhIMFwWRJsElsY4m9IIg9L6lCX0VklaPAYkfkZEGDnOWowlBJjtMUkcGK4Lg6EtoZInMUBVYLgn0UsdmCyCz7gIGHFfk+k1QwTh5We7A9x+IdJ6CvIkEagms0hR50eH9UnTQJ+2oiKyVlLFUE+8gBGu8MQ3CppUHesnjTHN4QB/UGPhCTHLFPHMFrCqa73gqObUJGa03wgbhHkrCfpEpzNLE7JDS25FMKhlhKKWKfCgqstLCPu1zBXy0J2ztwjtixBu8UTRn9LVtkmCN2iyFhtME70JHRQ1KVZXqKI/KNIKYMCYs1GUMEKbM1bKOI9LDXC7zbHS+bt+1MTWS9odA9DtrYtpbImQJ2VHh/lisEwaHqUk1kjKTAKknkBEXkbkdMGwq0dnhzLJF3NJH3JVwrqOB4Sca2hti75nmJN0WzxS6UxDYoEpxpa4htVlRjkYE7DZGzJVU72uC9IyhQL4i8YfGWSYLLNcHXloyz7QhNifmKSE9JgfGmuyLhc403Xm9vqcp6gXe3xuuv8F6VJNxkyTHEkHG2g0aKXL0MsXc1bGfgas2//dCONXiNLCX+5mB7eZIl1kHh7ajwpikyzlUUWOVOsjSQlsS+M0R+pPje/dzBXRZGO0rMtgQrLLG9VSu9n6CMXS3BhwYmSoIBhsjNBmZbgusE9BCPCP5triU4VhNbJfE+swSP27aayE8tuTpYYjtrYjMVGZdp2NpS1s6aBnKSHDsbKuplKbHM4a0wMFd/5/DmGyKrJSUaW4IBrqUhx0vyfzTBBLPIUcnZdrAkNsKR0sWRspumSns6Ch0v/qqIbBYUWKvPU/CFoyrDJGwSNFhbA/MlzKqjrO80hRbpKx0Jewsi/STftwGSlKc1JZyAzx05dhLEdnfQvhZOqiHWWEAHC7+30FuRcZUgaO5gpaIK+xsiHRUsqaPElTV40xQZQ107Q9BZE1nryDVGU9ZSQ47bmhBpLcYpUt7S+xuK/FiT8qKjwXYw5ypS2iuCv7q1gtgjhuBuB8LCFY5cUuCNtsQOFcT+4Ih9JX+k8Ea6v0iCIRZOtCT0Et00JW5UeC85Cg0ScK0k411HcG1zKtre3SeITBRk7WfwDhEvaYLTHP9le0m8By0JDwn4TlLW/aJOvGHxdjYUes+ScZigCkYQdNdEOhkiezgShqkx8ueKjI8lDfK2oNiOFvrZH1hS+tk7NV7nOmLHicGWEgubkXKdwdtZknCLJXaCpkrjZBtLZFsDP9CdxWsSr05Sxl6CMmoFbCOgryX40uDtamB7SVmXW4Ihlgpmq+00tBKUUa83WbjLUNkzDmY7cow1JDygyPGlhgGKYKz4vcV7QBNbJIgM11TUqZaMdwTeSguH6rOaw1JRKzaaGyxVm2EJ/uCIrVWUcZUkcp2grMsEjK+DMwS59jQk3Kd6SEq1d0S6uVmO4Bc1lDXTUcHjluCXEq+1OlBDj1pi9zgiXxnKuE0SqTXwhqbETW6RggMEnGl/q49UT2iCzgJvRwVXS2K/d6+ZkyUl7jawSVLit46EwxVljDZwoSQ20sDBihztHfk2yA8NVZghiXwrYHQdfKAOtzsayjhY9bY0yE2CWEeJ9xfzO423xhL5syS2TFJofO2pboHob0nY4GiAgRrvGQEDa/FWSsoaaYl0syRsEt3kWoH3B01shCXhTUWe9w3Bt44SC9QCh3eShQctwbaK2ApLroGCMlZrYqvlY3qYhM0aXpFkPOuoqJ3Dm6fxXrGwVF9gCWZagjPqznfkuMKQ8DPTQRO8ZqG1hPGKEm9IgpGW4DZDgTNriTxvFiq+Lz+0cKfp4wj6OCK9JSnzNSn9LFU7UhKZZMnYwcJ8s8yRsECScK4j5UOB95HFO0CzhY4xJxuCix0lDlEUeMdS6EZBkTsUkZ4K74dugyTXS7aNgL8aqjDfkCE0ZbwkCXpaWCKhl8P7VD5jxykivSyxyZrYERbe168LYu9ZYh86IkscgVLE7tWPKmJv11CgoyJltMEbrohtVAQfO4ImltiHEroYEs7RxAarVpY8AwXMcMReFOTYWe5iiLRQxJ5Q8DtJ8LQhWOhIeFESPGsILhbNDRljNbHzNRlTFbk2S3L0NOS6V1KFJYKUbSTcIIhM0wQ/s2TM0SRMNcQmSap3jCH4yhJZKSkwyRHpYYgsFeQ4U7xoCB7VVOExhXepo9ABBsYbvGWKXPME3lyH95YioZ0gssQRWWbI+FaSMkXijZXwgiTlYdPdkNLaETxlyDVIwqeaEus0aTcYcg0RVOkpR3CSJqIddK+90JCxzsDVloyrFd5ZAr4TBKfaWa6boEA7C7s6EpYaeFPjveooY72mjIccLHJ9HUwVlDhKkmutJDJBwnp1rvulJZggKDRfbXAkvC/4l3ozQOG9a8lxjx0i7nV4jSXc7vhe3OwIxjgSHjdEhhsif9YkPGlus3iLFDnWOFhtCZbJg0UbQcIaR67JjthoCyMEZRwhiXWyxO5QxI6w5NhT4U1WsJvDO60J34fW9hwzwlKij6ZAW9ne4L0s8C6XeBMEkd/LQy1VucBRot6QMlbivaBhoBgjqGiCJNhsqVp/S2SsG6DIONCR0dXhvWbJ+MRRZJkkuEjgDXJjFQW6SSL7GXK8Z2CZg7cVsbWGoKmEpzQ5elpiy8Ryg7dMkLLUEauzeO86CuwlSOlgYLojZWeJ9xM3S1PWfEfKl5ISLQ0MEKR8YOB2QfCxJBjrKPCN4f9MkaSsqoVXJBmP7EpFZ9UQfOoOFwSzBN4MQ8LsGrymlipcJQhmy0GaQjPqCHaXRwuCZwRbqK2Fg9wlClZqYicrIgMdZfxTQ0c7TBIbrChxmuzoKG8XRaSrIhhiyNFJkrC7oIAWMEOQa5aBekPCRknCo4IKPrYkvCDI8aYmY7WFtprgekcJZ3oLIqssCSMtFbQTJKwXYy3BY5oCh2iKPCpJOE+zRdpYgi6O2KmOAgvVCYaU4ySRek1sgyFhJ403QFHiVEmJHwtybO1gs8Hr5+BETQX3War0qZngYGgtVZtoqd6vFSk/UwdZElYqyjrF4HXUeFspIi9IGKf4j92pKGAdCYMVsbcV3kRF0N+R8LUd5PCsIGWoxDtBkCI0nKofdJQxT+LtZflvuc8Q3CjwWkq8KwUpHzkK/NmSsclCL0nseQdj5FRH5CNHSgtLiW80Of5HU9Hhlsga9bnBq3fEVltKfO5IaSTmGjjc4J0otcP7QsJUSQM8pEj5/wCuUuC2DWz8AAAAAElFTkSuQmCC”) 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OC – runtime 之关联对象

OC runtime 中关联对象的方法相信大家都使用过，但是其原理和内部实现就很多人不知道。这篇文章就来讲解一下 OC runtime 之关联对象，下面直接步入正题。

runtime 关联对象原理

runtime 中提供的 API 如下:

/// 对象关联策略
typedef OBJC_ENUM(uintptr_t, objc_AssociationPolicy) {
    OBJC_ASSOCIATION_ASSIGN = 0,           /**< 关联一个弱引用 */
    OBJC_ASSOCIATION_RETAIN_NONATOMIC = 1, /**< 指定关联一个强引用. 非原子性. */
    OBJC_ASSOCIATION_COPY_NONATOMIC = 3,   /**< 指定关联一个拷贝引用. 非原子性. */
    OBJC_ASSOCIATION_RETAIN = 01401,       /**< 指定关联一个强引用.原子性. */
    OBJC_ASSOCIATION_COPY = 01403          /**< 指定关联一个拷贝引用.原子性. */
};

/** 
 * 用给定的 key 和关联策略 policy 为指定的 object 设置关联关系
 */
void objc_setAssociatedObject(id object, const void * key, id value, objc_AssociationPolicy policy);

/** 
 * 通过给定的 object 和 key 拿到关联的对象
 */
id objc_getAssociatedObject(id object, const void * key);

/** 
 * 移除给定 object 所有关联的关系
 */
void objc_removeAssociatedObjects(id object)；

runtime 的 API 很简单，实际上工作中使用 runtime 的关联对象也很方便，如下：

static const void * _Nonnull titleKey = @"titleKey";

- (void)setTitle:(NSString *)title
{
    objc_setAssociatedObject(self, titleKey, key, OBJC_ASSOCIATION_RETAIN);
}

- (NSString *)title
{
    return objc_getAssociatedObject(self, titleKey);
}

如此简单强大的功能，如果想要观察系统的实现，可以找关联对象的源码，我们可以从objc 源码中拿到，

从源码中，可以找到以上三个 API 的实现如下：

以 objc_setAssociatedObject 方法为例，方法内部调用的一个内部方法，参数同上，进入内部方法

/// 方法为我加过注释的代码。
void _object_set_associative_reference(id object, void *key, id value, uintptr_t policy) {
    
    // 取原来的绑定关系，新绑定关系原来关系为空
    ObjcAssociation old_association(0, nil);
    // 验证参数
    id new_value = value ? acquireValue(value, policy) : nil;
    {
        // 内部绑定关系管理器.内部管理一个全局 AssociationsHashMap
        AssociationsManager manager;
        // 管理器中的绑定关系Map
        AssociationsHashMap &associations(manager.associations());
        // 生成伪装地址。处理参数 object 地址
        disguised_ptr_t disguised_object = DISGUISE(object);
        if (new_value) {
            // 打破原来存在的绑定关系
            AssociationsHashMap::iterator i = associations.find(disguised_object); // 以伪装地址为key 在AssociationsHashMap找objc 对应的二级 Map
            if (i != associations.end()) {
                // 二级Map存在。并取二级map： ObjectAssociationMap
                ObjectAssociationMap *refs = i->second;
                // 同样的方法找到 ObjectAssociationMap 中绑定关系
                ObjectAssociationMap::iterator j = refs->find(key); // 通过key 在ObjectAssociationMap 中找ObjcAssociation
                if (j != refs->end()) {
                    // 找到原来 ObjcAssociation 关系，直接赋值old_association
                    old_association = j->second;
                    j->second = ObjcAssociation(policy, new_value);
                } else {
                    // 不存在 -> 重新创建一次
                    (*refs)[key] = ObjcAssociation(policy, new_value);
                }
            } else {
                // 不存在二级Map 就直接从新创建
                ObjectAssociationMap *refs = new ObjectAssociationMap;
                associations[disguised_object] = refs;
                (*refs)[key] = ObjcAssociation(policy, new_value);
                object->setHasAssociatedObjects();
            }
        } else {
            // 未传 value ，直接设置关联关系为nil。移除原来的绑定关系
            AssociationsHashMap::iterator i = associations.find(disguised_object);
            if (i !=  associations.end()) {
                ObjectAssociationMap *refs = i->second;
                ObjectAssociationMap::iterator j = refs->find(key);
                if (j != refs->end()) {
                    old_association = j->second;
                    refs->erase(j);
                }
            }
        }
    }
    // 释放 old value.
    if (old_association.hasValue()) ReleaseValue()(old_association);
}

从源码中可以看到维护对象关联的对象主要有四个

AssociationsManager  // 维护关联关系的全局管理者 ---> 保存AssociationsHashMap
AssociationsHashMap  // 保存关联关系的HashMap ---> 保存对象对应的关联关系的Map
ObjectAssociationMap // 对象关联关系的Map，二级Map
ObjcAssociation      // 关联关系

它们的关系用图像表示如下：

runtime 相当于从我们的对象外部重新创建并管理了一套对象关联机制，通过双层 hashMap 来维护对象之间的关联关系。其中 AssociationsHashMap(外层Map)是存放在 AssociationsManager 中的全局静态 map。通过要关联对象的内存地址处理得到和对象唯一绑定的 key 在 map 中保存和对象相关的ObjectAssociationMap，此 map 又维护一个一个的 ObjcAssociation (关联策略和值)。

以上以 objc_setAssociatedObject 为例讲解了关联对象的原理，objc_getAssociatedObject和objc_removeAssociatedObjects 原理也是一样。

思维拓展

runtime 中对象关联的原理如上，学习了苹果源码中的思想。可以发现工作中很多类似的数据存储恰好能借鉴一下。

恰好下午研究 runtime 对象关联原理的时候，朋友问我一个多用户系统的实现逻辑。

大意是：

用户通过手机号登录后会在内存中生成用户信息表，表中可以保存用户的诸如：个人基本信息、联系人信息、钱包信息……
用户退出登录后，信息不会丢失。
其他用户登录后，会同样创建对应的用户信息表，并保存
之前用户登录后，依然能查看之前自己的用户信息

看到这个问题，我直接感觉 runtime 中对象关联的实现恰好就是这个问题的极好实现。

通过用户登录id为 key 创建用户信息Map。确定每个用户id对应唯一一个用户信息表，用户信息表中想保存什么信息就自定义啦。

本文链接：https://www.cnblogs.com/xiaoyouPrince/p/9648195.html

OC - runtime 之关联对象