easyUI datagrid笔记

easyUI datagrid 简单使用与注意细节

背景：

业余爱好，使用了一下easyUI的搜索框与数据表格，并把两者整合起来进行使用。

使用前提（引入需要的js and css)：

<link rel="stylesheet" type="text/css" href="./css/easyui.css">
    <link rel="stylesheet" type="text/css" href="./css/icon.css">
    <link rel="stylesheet" type="text/css" href="./css/demo.css">
    <script type="text/javascript" src="./js/jquery.min.js"></script>
    <script type="text/javascript" src="./js/jquery.easyui.min.js"></script>
    <script type="text/javascript" src="./js/easyui-lang-zh_CN.js"></script>

效果展示：

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" 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C8T8jKLU4w5Kww96I7p1jr+FjBRyQ2KjPH9NcNuqO/u6FAnbThQkuSSG6x9rRKRBsZR+wBmUB6ohU9MKIu5fJq/ojj8YiuBJnA5kP8VQOvObyrskw+2tJISO8oyN7oLktngdbLkswP3c30joxbc7qsFPAoJmqSYH3sleL8Pp1w43eV5+W5HYL6mpDlYch2E1gPVEsPpabLn6OWYfe8vnkqoqGaB/C2Q5URmxthSQXywYUxJhAt3vDhk++Z8DfGqtbVZ/gdK6Z7YsikLts8YNF2g8UHaj97qTPzUOO93dmQJIKOu6PJRXzYMZkGlI4B8SYWPWrqEDr6KeLNk5sTnk0EKuY7dniru86JA21x0O5LV5OYF4pn8G7LRA02Bgc+EHMJZSfFWkcK0RsS/MECPYNr66P5vnrKldMIn/BS/M9VV4yCzIVs8kqjCyWbB1pbB0gkDbZy95ByKYxkvLMDn+Ue0fGW4q3zzNE94hmV91K4yWXJJkYiHgq3sBcP2YPIoDCf1yNcRBXr/HZvdUUQZiGb4lOTcnXipusJt+6L2plumLwDGHQ6gp6/abW15OgMxSySQn7NwhaL71U0LWoVTz3ZcpDvZYQq4431omnX7aTCsdTQp4x4wEU3sXrwKgvjM2UEPOvggk6d3SM5R9arizxZRuzQ+MHx7A2QCFnHK03U1nYM+J6ByM2VotcuKu2oQaaIVjUreIPauZ9plNfYYf+ym0ttpY8fOF/7VY2YEp49G9UmU4gdkqcyXbSrDJbXHUi8ALtuX7IlMbu1XI8YrSW6ooRJLaQsUcu5zvaKgjzC8209G1vl+wAyg+20UZp0FG143GI3LK2z29UaljnsU5ep58sLbHuSCWztZSWVTNtKu7Z9lUMP/MF/u01KIJFKlmhWcXNpkVuOXXbK0vW8DLkwvZDdKpfriOE3oRKkl6GCts56aeemZWXDlFE1PGa7rMVJGghUkZKBvRwXQAAEQAAEQCAmAtH202JSAmJAAARAAASMJ4B4Y7yLYSAIgAAIJIIA4k0i3AAlQAAEQMB4Aog3xrsYBoIACIBAIggg3iTCDVACBEAABIwngHhjvIthIAiAAAgkggDiTSLcACVAAARAwHgCiDfGuxgGggAIgEAiCCDeJMINUAIEQAAEjCeAeGO8i2EgCIAACCSCAOJNItwAJUAABEDAeAKIN8a7GAaCAAiAQCIIIN4kwg1QAgRAAASMJ4B4Y7yLYSAIgAAIJIIA4k0i3AAlQAAEQMB4Aog3xrsYBoIACIBAIggg3iTCDVACBEAABIwngHhjvIthIAiAAAgkgkB1dC3EF1LjW6mjk4QEEEgvgSquepX4SK8Z0LyUBCLFG4o02Wx2JGvRP0qw01LqCtkgAAIJJEAhhsJMVVXVuCqL/lECUSeBbkqCSkXGGxFahkey9O/YMPs3PEJRhy91EHOS4FjoAALlIUABxqIwUzV+nFU9vor+UWI8nfMgVB4V0EpaCBQbbyxreDh7dDh7+OjIW0dHDh/LHj3GYg+PQwg4afE+9ASBqAT4eoYFmAnVVZOqq46bMG7SBAo41vjxWOREZWte/WLiDQUVCi0UbN44MnLoreFXDx3b/4fDrx48RrHHPECwCARAYFQCFGPeNqV6xp9NOumE6hOy1uSJ42jVQ/triDmjoquoAsXFG7aUoehCwea3Lx3+4+tHF7z3xMmTxifhSeH9999/6aWXVpQLYSwIjDmBt46M/O7VIw/tPXD6yZPOPJmNBePGjaOfCDhj7ppEKVBwvKHFDb0dQA9saBvtT28co2Cz+ENvS5RJUAYEQKDMBI6bOG7mO4477W0Tf7jn5emTx0+sZttr1bS+ybJXCXCAgCBQcLyhaiLe0DOb/b8/TCsb8ZYAgIIACFQ4AdpVm3fW1F89/ca0ydXHD2dHquk5Dg4QcAgU/Pue9DIABRh6G41eEKDFDduoxQECIAACnMDpb5/0xwNH+dtD/HckgAUENALFRAu+pcYe4dArA5ooJEEABCqdAO2kHeGvqrKXVTE8VHp38NpfzH4aW+KwVQ6ThT7lJYpzEKh4AjQ4iFGi4kkAgItAMesbJoD1Jx5wXNJwAgIgAAIYHtAH/AkUs77RJWF9o9NAGgRAAARAIIhAseubIHnIBwEQAAEQAAE/Aljf+FFBHgiAAAiAQNwEsL6JmyjkgQAIgAAI+BHA+saPCvJAAARAAATiJhA13sStT0Ll0Z+BwpsRCfUN1CoLgZdeeumVl1+mP0/Dvn4gm51+4onvPPXUsrSMRswhgHhjji9hCQiUiMCzzz5z8M2j00457aQpx9Hc60+HDr/yx5cODQ3NnDULf5GzRMyNFBv1+Q3N+v2Ph79+/Y+e9b/Ecke5HFxxlCu5ThrqnEe3hP/R1ifKhymTKxk5IFAJBGhl86dDR6rfPmPiCVOz4yaMVFVPPP6E4055zxvWcb96/PFKIAAb4yIQNd4UrMdzO1Z+4xG71iPfuCL3WLnjuYKFjlKhsSNjh6neVied6WjU6jn5wWW04kiCQKUQePHFF44e/85j1rg33rJeP8z+HTxsHRmxjk1+12sH3zh8+HClgICdkQlE3U+jcdylwyPfuHLdAzLnv6+4nSVnLL110/kPr7zFumHTknfbAz//W35zv3jnnV9kJR75xspnP04XWZoOr1CRW/zPPatqq1ap6t1OurVX5YYpowojAQKVQ+DIcNWb2eOso9bIiDVhmNl9LGsdPma9MTJu/PHT//jSS6e9W965lQMFlhZFIGq88Tb6oS/deeeXWKYTQmhFs/zK/6GYo+KJqqRHpweu3MbyL15755c+pArEk6C1S397DZPV1zZv72o7TZtoGx35Yco4pZECgcohkB0ZP846dNQ6csyq5hsix+jPw4/QN0Zb46qyw8M8BFUODVgagUDUeKMvRZ7f0b78+7/RlLFDCM/ZtvzKbTM+fWvnBezv+PFFEf0BNkpf/JUff/FDj3yz/dmPdy457ZFvfqyfLYA0GUiCAAiMKYHqquxx1YffHF99+Ah9CwlTZVyVddwE64TqkZcOvDx9FhY3Y+qeVDUeNd7oxp62pPPHS1SGiD48nKg8Sjyvn5QpHWavLEyZMqmLZkAgSQSmnXjigVefe9u7Zx+dSF/sy/5Mb/V4a1K19cYfnq+ystOmTUuSstAl0QSivi/AViOe4+Fvfowdt1ir/+u//usLc7PZ53a0t+94TpYiHCwpPuwT+0zmyqJFfObCrmnnSyYuK5ORLw4I0V1NonyYMrmSkQMClUBgxowZh15/5c0X902uOjz9eOuk460p444eeuE3h986MG3iuMNPDVYCBNgYC4Go8UZX4pFv/SU79pzx6RkzPr2l4+rTnr9jFctY8cwnVp+vF6RVznNPn/nu09x5pTmjpzTzOofsn5mNS+lENERZ2uvQo5YpjXaQCgJpIHDBBRcce+tg5rH+p3/1CP176hc/+9Mfnp/4wrPvOfWN7MjdB/73sTQYAR3HnkDU/TRaJygj5q7q6WGvgT1/xxe+/68r/vL71oy/2dzTI6IKhZ5vnv6tL8y13rX4W6us5+74wRmN38pmH+Vfo0Mi2LMcJkqeK5lRE0O7tlst22qsXUxQTVNXv9VGoaV/4a55G+u21a+b11nb326NXiaqGqgPAikncN55542MjLz88sv0ggDtoU2ePPnAH//45n0bp39oujXxkVf/1zrpvPen3ESoX3ICUeNNgIIUab51tbZ+ef7hB60z/o9d+Pk7vv6vZ3yix131me1fWPTT31gXffkL7vxoZ30bVzWszdZYVl2DtZeLopDTZA11brfqt9W0b2uZt7TTaghRJpoaqA0CBhAYN27cKaecogyZevLJB+d9/vcP3PqOeVb2hId+/9ixd7x/rrqKBAjkEihFvDnt/Aut665b9K+u1igC2fHn0e0PXrj5W7xjzv1Cj+ygZ7R8qyfWUMNbb+rKikc0tfVWs/5LOK29LApZ7f397KfQNE+ZKud3dkRZ/AQBELBOPf30Fz6y4rkHvvPuC6x9zz+EeIM+kZ9AwX+GcoR+1evoyIE3h/944OgDT7z+6XlT8jdQ5qsPP/zwpZdeGnuj9Odw9J3D2OVDIAikl8DzzzzzQv+PJ9Wdf84H/pys2HLPixfPmXby1AlTjx8/acI4enkaBwgIAqVY3xjIFsHGQKfCpJgInHbGGaed8fmYhEGMyQSixhsMxCb3DtgGAiAAAvERiPN96Pi0giQQAAEQAAHTCGB9Y5pHYQ8IgAAIJJMA1jfJ9Au0AgEQAAHTCGB9Y5pHYQ8IgAAIJJNAsesb9i3meM8xmT6FViAwxgQwPIyxA5LafDHxhuIM+4dwk1SnQi8QGFsCNDiIUWJs1UDrSSNQzH4adaZxVVXjx1VNGM9iDl6JTppToQ8IjBWBI8eyE6rZ4EBDBKakY+WFxLZb8PqGr2yoP1nUq06eNuHIcMESEssCioEACEQk8NzLh0+ZOoGHHNoCQcSJiNO06sWsb+gPVFSPr5pUXTXzHZMeGnrzw3XVWOKY1i9gDwgUToD+0tXDmYMNp0+eNKGKhgj8JZvCERpeo+DVCd9MY/HmuAnjpk+uPnnapHsHjx4ZYatnw1HBPBAAgQACtI22//dv7Xj45fecMnH6CeNpcBDxBqNCALAKzS7mz1DS99QcG8kePZZ948jIobeGXz10bP8fDr/02tFh+lueOEAABCqPAD2w+bMTJ8z4s0lvm1I9edL4yRPH0ZZaNWahldcT8ltcTLwhiRRZhoezR4eztIJ+6+jI4WMs/FC8sb8yLX+buAoCIGAKAXoTjRYx7O2harbHTisb+pvQ/PkN9tNM8XF8dhQZb3hcsSjA0L9jw+zf8AgFIcqm99Xi0w6SQAAEEk6Av/rMX1hl2+z0j2IP/eMvFiVcdahXbgJFxhuhJos62SytdegfJUQQKrcFaA8EQGBMCYjQQsscekGA/lECj23G1CHJbTxSvBFm8UUNVjXJ9TE0A4EyEBDvCyHSlAF1epuIId6k13hoDgIgAAIgUDYCBb8PXTbN0BAIgAAIgIBJBBBvTPImbAEBEACB5BJAvEmub6AZCIAACJhEAPHGJG/CFhAAARBILgHEm+T6BpqBAAiAgEkEEG9M8iZsAQEQAIHkEkC8Sa5voBkIgAAImEQA8cYkb8IWEAABEEguAcSb5PoGmoEACICASQQQb0zyJmwBARAAgeQSQLxJrm+gGQiAAAiYRADxxiRvwhYQAAEQSC4BxJvk+gaagQAIgIBJBBBvTPImbAEBEACB5BJAvEmub6AZCIAACJhEoDqKMVvueTFKddQFARAAARDIT2DFgnfmL5Ciq5HiDdn5iQvNYZEit0FVEACBSiDwgweNmtNjP60SOi1sBAEQAIGxJxB1fZMdexOgAQiAAAiAQAoIRI03FgJOCrwMFUEABEBg7AlEjTcIN2PvQ2gAAiAAAmkggHiTBi9BRxAAARBIP4Go8Qb7aenvA7AABEAABMpBIGq8wX5aObyENkAABEAg/QTifx/6t/9+c821d/3WQfPYmnnL1jzonLtTL/zLtcvc5eX1Z+5aPG/Z4n9/QZ77lGRtzVvm+0+rKAXgEwRAAARAYOwIRF7f5CxwspSTtbLZx9ZcuOlH0rC/eqCr5saH6OyvNtz+T2fedfUndjwuL/HPHZfO2yEzzljzg7+/9nTrv79PZS7o/uSpP1m3rLVPXrRkybol9952Bd/Nu6D7wbaPWC/cdu2a9RbLfI/12Jcv3PQU00HVQgIEQAAEQGCMCUSON279H/hHERuemX/tGeda1hKKLhey0T97Udver3yQJSgYnX7FjgevkPVYnNhgLdnN4oRz/Obfb6YYs2RDm/WPN397H4soF/OI4in5W1bjodYLWSTjx475F9pxi1pHuJFY8AkCIAACY08garzxWHDxV27f/Z6bL7t/7u7b3tV94aYdNy3b0XTBEir09F1LbmJrGkrTJthltz7jrrjjMhknKP/c5es//1tWgFVnp8svdpd2n+VGIzu4LlcAACAASURBVBbh9roL4QwEQAAEEkJgS+8+0mRF86yE6FM2NaLGm8A9K764oPXNP8577Ct9D1lnXvGjn73rK3+xSRp2xo3/sdz66pqv7bXOWb5+xydPffo/eJT6qvWlT+6gqhd9+fan/uauJZ/c8au6JV//i19cfeGOX9k17cgkavE81/pGxa1zaH2DBY7EjU8QAIGEENjSx4INHZt7961oqqyQU5WNMCrT34defL7373WyyEHLl7ozztn7jAwSAi/7ySMQfb5w29+yYOM66i7o+mrbxafbebQ113Y3hSX2LCfEwQXSvty/XHFmiNIoAgIgAALlJ6CCjWo6f8jZ+fCLJv196Kjx5ipXvHlhq4gidUvuccb9x9iyhi10FGGZ6O866ybx6OWCrp99cLdezLlkXb18yd5b1frGrnv1httbn755gXdfTkoWn5evfPIr73dn4QwEQAAExobArXJl42l+efAq5z/NijdR99PcD+VPveZ7t1/yHzcv+AltZr2w9TPaCuamZXcwxhd0/U/bRfRJ4WSNjDQi58G7vl1n/YqKUZD48vuf/u3zrDjFre9dceazd/3VrdY5n1v/o0+eyjJF3ax15if+/slPsAyLCvw1D0h8UVW3Xott2FLjhPADBEBgzAksvzxg96xihqmo8SYXlMjJWqcu+39LeikMXL7y119+PwWJs9c8dM7nPvZh/trYT3+q3ih7qO3DKs37w909t/3N+6/55N//+pN291BNqIS4IE8fW/vXO+rWr2/auuYWa+7G9addvmaZtf72dbnLqTHvblAABEAABCqYQOR4I0d9xVBk0FOh7Luv+OE/PV//5U1n380u0gLlh584VTwt+vCa9Tfsp/CwpO+7V/x2/bLl+5f03Wzd8Cn2dgDlnGk/6n/s/160iVZF51x+AVX/1XfWnP0d1QiLWkxUf1f9lx+6+p9u/4fGF27fyq5mG9sG/+20j39q2dmXrxxcg800jRiSIAACIDCmBKLGG4/yP6XgQdHl8kXWD26u/w6903zGDf92+zJ64P/sXR//1Jp6Chh1S26YueOWuy0KEoNWV/1Fy5iEOss6/Yof/vQKVuyiZbQkutXatPzuC2796e3/QFcp8247XLHCPMbQ59M/uLnpO6dRmYtYrnYwUR+4/bNr6tcj5GhYkAQBEACBMSUQ9X2Bj81955jqj8ZBAARAwFgCP37UqPfTIq9vaFMLBwiAAAiAAAiMRiBqvEG4GY0wroMACIAACDAC8f99aHAFARAAARAAgVwCkdc3WODkQkUOCIAACIBADoHI8SZHIjJAAARAAARAIJcA9tNymSAHBEAABEAgfgJR1ze7fv5i/EpBIgiAAAiAgHEEosabv734JOOYBBo0MDDQ0NAQeNm4C5VmbzIdCC/E5Zc0kvyXB16Ny/wkyMF+WgFeqKhgQ1wqzd4CukIZi8ILccEGybhIFi0n6vomytfnFK30WFV84okn5syZM1atl7/dSrO3/ITDtAgvhKEUpgxIhqFU0jJY3xSAt6KCDXGpNHsL6AplLAovxAUbJOMiWbQcxJsC0NH8qIDS6S9aafYm02PwQlx+Acm4SBYtB/tpBaCrr6+vqP3DSrO3gK5QxqLwQlywQTIukkXLwfqmAHSDg4MFlE5/0UqzN5kegxfi8gtIxkWyaDlR4w3N90ty3PP5S7495JI89O1LPn+PK8c+uefzk71l/YrFkHf22WfHICVIBNnhb6BewcPFc6qXjCFdWntjUJCLyOHm11NyQFGhMvWaqHYmxAsEbLI4nF7qkHauUhmnANlO7vE9xoB+JJI5HcYx3vaw11INQ07Z0J2i6JE9mRWjxpsSWbUvM1hfK7/re/f1H928L6Ch3defcNVt1sM3nHuCfgSXDxATLvvXv/51uIJFlNq3+Wu3WbddpVuh0tfvJoFkKf8UtvIk1Rm0dnawqyU5SmlvCRSWhEogeixFjoUXCKX3aLW6D4njny/zxXHtf/LLj99yvufy+bc8btdUH7mFPHVKchoXycCOpllqWxhYtCQGJl9oAuMN6+vn3vCwGHtpXN19521sjFVZJ5wgwsm+zR894YSrLNHL9Z58/i3d18lYFasHaH4UqzxN2O6OnYvVXUl9Veu5hw65bnBxhWXt7rih/sb7b7Su4sFHExZXsoT2xqVikJw7xYCZO/GgXpObGSQlEflj4YXL/lndUIcOie54v/ue4hFJ3pP5O6B3NkiRjCqOAduoJMkQZikNSNde6R9zx8CodDWZwPcF5m86+PjslX1Nm66zNl/Skb3nzoGvPX7wupn76aT2J5tsP+/79kfOvePqxw/eN7TyI9+e9ZPrZnLsu1dO2TD7cTqj5WoJ/PDkk0+eddZZJRC8e+VV1g0HHa2zIyOWpdtAxtMyzrrtBPpBP2+w5n5t59V3WNc2rCfjH599yQnXZw9KNPHpVzJ741KRsJx746McyW3X7txJaK7ihCinfufBg9bKSzJW9p7rpyxm2Bg3hk2wtXIYsyJJPMbeC36o6C49uIrwP3UT73j7N69nHZbdddkRmeI0s9RX2S3pQkuO+0zW1cNdl0t0UjzJ3SsvuctiN93sO6+/fuA261FxJ1qW3d24iVm+z3KDUv7anWIUYlg8UFSZSkskcH1jWfv77rBqqYMOPWVZd20YuLrJ3VmZj2Ze95ODvBNftummp86dspKWQSunTLnrCpFZIi+WJthY+zdvsHauylwyRR40hj5647nybMolm/czc13HTU8tfuqmTZvI+M9stq6jkLOBEMR9lMje+NTkWHZea127k6YoGyiqUOLgwce/NvfanRR992cGWFOX0ch4cOe1NCQcpN5R47QuGRNfJzN5qbHwAruZ1OHpjqw/ckp0mz5q3baY3Xx5jss2eYMNFSbH+eTmkRLLpaJJUk9qmD2bdKhpmj1wWwPrZHY34ynWr/gQRQGJ9T37aiw6GyYkgesbijNPWrMvz2b3ZQbmXHH/pk4x1aepk/+MaH771+aet3hKdueBA/NLO2V66qmnZvNuF28nmLHi/k5r/5YN1+w8sGk+E71/y0c/a333/hVOmM1md6/8aGbV/bUdK61Nm6yVU++8ksrSxGl+5/3MaIuJENPLGHUrkb0xashFUbewsgRx55NT72QQZE+hzzm1M2wqLJMl6VP0JzZd/V/J2C4Ut2axyBsLL8zvPHCA7jtx5HZH3tX29z0555q5c6787uwN1+/+7lny7pT0eTc+j68+pSCfT9Xnfa7FnlUsSTb/nX2TRbMX1s0O2P3HMdRWlN2L+7fcIUYpflNns/fyzqm6ZOwmpU3guAQqfO+dW5lW++++wzprlnXvyqn8oK67dbFIfnSLPSEV10SnlhdZEVUgXutKEWwK0pDIbF288l5W504biyBSGovH3N6C4LgKMzzn3cj6T+qPZHph/5bPPnnlKra5PHPF/Zvm73sylzVdOMCOnddQZOep3B9iglUmHxVLkgy5f4XsSXI8ou6lBqSpdE9SVKZ7Uc8s0ShUJlilaSZqvGFzxriPSztf78p+llw354blM7J0xo9fbph7zQ6RvG/5jHv4cLvhiblzN/xSZDo/d1xD26VxK8Xk0fyoBGKHNns7KnXaR288z44k7OOjm4dGLMpabO14fYe1eDHF44U2ltdfJzDWNYxU7Edp7I1bzRG6M7i7ZWKEZp4Cz32zOqau5C/R07VshkCv7GPTUirOCpWml8RtX9m9IDqk0/1yuiPrkH3ZxSsvZRA5+qG9T8yZJXqgnUc3qCA/tHnDVndvtiWLy3HTyicvEknZYeR4xO47OSC93nlpdsby+2gIorFHZLK7kvqX3ScVqHzq+V4rzbA/ZlKjxpsSKT5rweK5lrV1SXvQ1vBlfLjtWlyi9v3F1tXV+V+IlDtrBeuo+kF91R1G72OzK5bVeZlFllOntqx9Wy6dxo/37Vz8S8ovwVEae0ug6NYl06ZdumUoR/K+oSfmziZ0u9uXbH30piVP3fB654KcQknPKLsXvB0ypzu+/vp9K+iQM37qi/fstBhn18HJW5ZXmujovAu7ipfhpPQkd+/aes1CeS/OqfEiKYONCW8imfFmdzsbRGm2YAVHHBvsoze9Twy7zs8lW0sEfe/evSWSHEasYyk3kO5jNoeiMNSl3flhBIUuM7b2hlCTx9wlT/Al7n0rFswmHHQQGTv+7nvq0Tk1+9qn3TKbL4JLE5VD6BmpSOK9YO3edNOcG9ydkCJ9vuGWxmU7HEVCU2DlEpOk3kh9caUIN9T1mHY0O0xnrysQbdjiCXxfYP+W+bfU/fLe5fR68MyOX2bmT5u2RFkzTYSSZTte6+RP1ully/W/vFd7sM5K3ts+n16DZc/oYj5qa2tLITZXS666u6n5Ha+91mGXvLf9xLuYgTOX3/vacjq5dHMOg1yZReSUzd4idONVOACW4qxmLrjqCZp86MKod3TMn/ka9RUqQR3rfWv4KPC+aTfxUvanTx/ShYxxeuy8QF1rye3c+mU7nJf1dRzsafi+zbc8sb6rQ3bXmTX1tNzcym5MmcVrOMLYKXOMv0hdfMzpaCT5Tbl75TQbidDNHpDInvX1a/7zql/eu+DuS6fxTsYspNd8JEIvjphNS4u4KlefKFDrLfe8+KkLJhdYKcXFM5kMddkUG1Cg6pVmb4F4ylQcXogLdBpJ/ttDb6xY8M64CIy5nASub8acSaACNTU1UcJzoNykXqg0e5PpB3ghLr+AZFwki5aTzOc3RZtT2opDQ7mPpEvb4thKrzR7x5Z2UOvwQhCZQvNBslBisZdHvCkAKc2PCiid/qKVZm8yPQYvxOUXkIyLZNFysJ9WALp9+/bNmlVB7zhWmr0FdIUyFoUX4oINknGRLFoO1jcFoKuoYENcKs3eArpCGYvCC3HBBsm4SBYtJ+r65pVXXim6bVQEARAAARDIS8CoF4CjxpuZM2fmhWXUxV/84hcf+MAHjDIprzGVZm9eGGN2EV6IC30qSWZejMv8JMjBfloBXqioYENcKs3eArpCGYvCC3HBBsm4SBYtB/GmAHQ0PyqgdPqLVpq9yfQYvBCXX0AyLpJFy0G8KQBdpc2PKs3eArpCGYvCC3HBBsm4SBYtB/GmAHSVNj+qNHsL6AplLAovxAUbJOMiWbQcxJsC0FXa/KjS7C2gK5SxKLwQF2yQjItk0XIQbwpAV2nzo0qzt4CuUMai8EJcsEEyLpJFy0lcvBnqnDev0+fPlFF+VdDR1ifsD1OmaFJUsdLmR2HtdfvMfebwpnzNUTJp9bX5+Luvrco/N6gL2PkkVZMXpIll0ZU8knyadswoJkXm+B6hGgrrhWIUq6w6JSLp31krC21YaxMQb9z3fu2qPXtW1Wp3p3NPNnZk6M8zs6O31UlnOho1Y5384DJa8cKS5ZkfuXmocZlU1a44VAozoaDSxdlb096/drBW17ugRnnhpq7ehlUb7WmEqt7UJdyvdwHdzdlsV5PV1OXTujPgK71aex1hnlR/O/87eRpu6o+qou6GUPlMf6dfqrbcHVcZmZMo0Ave0a9QK1T7vKLWz9yCdCAWBXl5xwZhcpdnjXjku8UHiRk9X+mfmyiQZK4A35y+nu7GloW8x/heR6ZGIAHxhsYneQ/2tlqNdLS2tqrQkrVvftLZiUPN3U6aApRmj5MfXEYrXliyRPMjtxJDu7Y3qKEw0zHQLG/5vrbaVfIKjcYRR3R3o/5nYexlI409R5jX1mavGpq7re5mewRyRgj/RuxcZ8QS9XQRIiekIMtqWk3UWB05d5nXuVcM+J4hnoY4CVdo4coIckSefEt1W91xTLbTL4UxQjvb9vwfYbzAJQiEBE4/itKWBAx1Lt1u6TM5JtQVNSm284MFimZLdlmZyy/5lpe13PJJT196xeovWnH/DE3SXS3/GYWb1rVigpK/IK4yAnKoL+Zz890vFFPNrw5FGjpozklDAvVSMTDo3VXk21X1SS1dkFPVMGX8Gg+b9/Of/zxs0bjKMRDCPBaL1XDGMNn5cbXkIyesvW7VfATRgtRq7SBH0X9mBPMZJbkFui+dqi5XOtmim7Cu4ncw0bo4R4idy9rlA6OekFgpLw/SoKuh8nWllDFUU3Ooys5JhPWCqMj0CRYbSlsSxPzV6xEVoC8vmqM0ZQSU50X95Osywuop6wSVl9fFZ2Ek3XXdZ6y90Q45KrlrFnoW4xhbaNOlKD/26xsxK+tZxKxTkyOx5tlmLWWzwdAT29F6QNTrJZkf5VcqM7insZ59pejQ3gFvyYG9Ps+5vIWinIe0l2Z4bP7O3aQvU5y1A5sDLlpIqtS1r5X7ZJRs7e7Rt8z0unJpIlcDTh/wBAxnKBexqGmR/9KPLzDca2GGhnU02n9jzdQOrnU6YA425QjPlYD8vo2rbMex8k1dzipd1aemfXLVZZUI6QVVPl8ilLa0O0brFXUvavKcVZryB9tNGlgn3eR56uZTnkkLlC+bctOTufQZTn+tgisZH0m1J+ONthSIZJzxA+hSpxJPxj7eiE35RT12l9UHmo11fKdNOs7pvcF7ZWHKFO3n0uz/BqtDOxXN+mK9oU7tEtfUNQTXi+tKOHv7egZoD7Sjw2rmg5CcXIvhn6vCw429+9K0iKLMLp7Nk3rA4QtcMaui+1YK4jNlj0ls94WHYU8+nTZ10V4WxTGKXnZfctTyn5aSHkyMiOu5AinH6whZyCef7S7RQX7rZdHEPlXjsV9Cjd1SrPsznBfcdXzPRteWVaNS6+oz8p7TBKkxli1/uu1tXj4NatlmT4UzHZazz+tbPo98u3Gdnta60Mx1O4is4PLu2nQWG0kpeahz3UDHartns8w8/VLWqezPsY83gr/+KJhvFrHNYt2TWu/N0veQ2x1cfMibI0yZKO6Ob34UQgu67/nzGmkcVdEWND7LnRAyCywSxl665ayWFhK8sCtTv9cdPWRz5FyyguamLIOdsKWOndRuVpEZ4ic9W1jVYO+Z19bTEMdHcfXggroBh8YDFg8xeWixgEDjKwW1lu21vktpH0dwHf3zZR/stZqZNHWqveHi6rt0onnYz/gwXvCr584LpS2LBku3t2wb7XEEPSFr3DOYsVtwpkE1tGbVe6lUwSk/inyFS9CT9ekzpP5ajdxkPCQdubQMk91QZOZkOGWR4gSSEm8cd8iOpb0oQBcpl7Zn7J+ZjUvVXg1lyflhmDJOO0WkYp8fBerAJufbWzLaUOSzoHHu80A50S6EsTdjtay2w0dNe3ttzq4fWSL8Q2N+66JioovXhp42hkYO0nKE4s8cRFHRDzzV+MLXs5/GNvDYLhrf1iJB7CG/Z0co1xFCblC+apUtmtT8gIKy9oaLtsaRXVdV80mE8YJPNT2rIG3VFgGjxU7yKcm6pTJTbzI4HUa+ix5//c1zO3jEe8p7rsrTGEhKUexzqHZ1pp5vJXJC1O0CtiH1ShWeHvt4w256/eBjgnq7iV0hb7J1qnrnsIa2w9cOLqXf0iEXb6zbVr+OR58wZaJ5O+75UYA2RIS97+PZ3Kdbao96RZhtcMczegfowLPD2NvUrk+GM4OOm6RksU9FGgftgMmCIT8XdXnReCpKJVSI2btr+x6+q+7eT+uz2ENDGbhICI9d2+zoSef+jgjK137xh82P1nVbakLgBEV9baPtOHoscJ2G8YKrgufE34oAbXVNGS22RuSE6FZTcYetL2X3492S3YvsYFbb7wYHlA+UH6APCS1If65G0I+oJD1y6eupbXP40wC2G6F1Jk9hnAoC+g1QaLok705QL5dP3JQ+6qmc83SYXaOics+Enh+wV2pYbp4y7m04VrigI773W/I0mzsKqQcZ2nCp8vJIinwprL3SD8pNrGXhBtubTHPNq3YuV9Bxl17dFilhSHPluf/dK0rZApVc1rZdX7WrEnkY5bYl5Xtbt6W7K2jm+jdCxe2K/tdlblgvsJfKtMNXKXbd94Kftho40sUl3V3cuaQZ5GRSm+7ytmV55DsVXGK4eaH1lwDVZ2iSqsaoCWaDYmrr6mvsqJICCpRkjA1oqwzZSXkf2jE171Bgu5f3O/bDz7VhyjjNIRWdABGnQUAN8EKgdAMbHuhGdHmKrqlzTzVbGyEyRzWvIL2AEOStyNRgbbFPp8fIM56V+0Mpp8uPIe0ePLXBOQbZEFFGAqr/+PmQezmuLmRYvKkiJ+XebyFzttzz4ooF7wxZeNRitAIX++vkQ89e0qh1y1OA9n9jXpKXR+9iW6k0e4vlVNp68EJcfNNIMt4xNi6SRctJULwp2gZUBAEQAAEjCRgWb8b+fYEU9RKaH6VI2+iqVpq90YmVQgK8EBdVkIyLZNFyEG8KQFdRm2nEpdLsLaArlLEovBAXbJCMi2TRchBvCkBXafOjSrO3gK5QxqLwQlywQTIukkXLQbwpAF2lzY8qzd4CukIZi8ILccEGybhIFi0narwRU4YK+UlmVoil1J+EsRVlr7A6aT+FI5KmVRr1SSlJQm3MgffTCnAl9deKmiJVmr0FdIUyFoUX4oKdRpJ4Py0u76dPTkUFG3JPpdmbzB4JL8TlF5CMi2TRcqLupxXdcBor0vwojWoXrXOl2Vs0qJJWhBfiwguScZEsWg7iTQHoKm1+VGn2FtAVylgUXogLNkjGRbJoOYg3BaCrtPlRpdlbQFcoY1F4IS7YIBkXyaLlIN4UgK7S5keVZm8BXaGMReGFuGCDZFwki5aDeFMAukqbH1WavQV0hTIWhRfigg2ScZEsWk7y4g19vZLfNwrSX4/Wv5XNlZZfBBWmTNGkqGKlzY/C2kvc1fetyq9izeVMpTRHySR9nZZWV9aiTuCTy757y85mvST34ELz9QIpNW8ZWUgqE/3TX9uqcA2F9UJ0NU2XEC/JIKeybql6t+lIC7UvEfHG5Tn2NfSur/dUznO+a0L/zhT1VRTc9DBlCmWkypdnfuQeC/Weq13xHY2VojElirOXvvNw7WCtrnfh6jR19TaoLzN1qg/VLmrZXstsb+qyv+2E3O981Qj/ekX9KyTVV/LJ70ZxvujCqSWvqU+7kIbbNYQE5Ss9eQG3h5x+qVpxd1xVOSdRoBfoZnI1HaRtUL5q32uFu4J7THXuYOl3J0dOC+QV9q28Mk/d26xVLV+V9eQHWeYqryzwJgok6a2ee676EPnS8bD7W45ya1V0jur+RSTi+i6gfN+iJdXKd3dKt4cpI+Ul9tPVdZlFsiOzbiwt1dNja4l2czW2torvNHPdUFJlNvTLtJa0vwfU/fWRLgHyRKsskZDpuigfEnRZK6wKiFo5F10ZooxdhU6kI4LypXAmpFGV5rkaJGkN//RTTYop/FO1oosN0pZpSd+EJw46kdbJZnOtcNWQxeiTVVYdU8vXk6Sa7T5XU9qJlnRLZFZJ12vpwPJ6syVNK9wul4oTqXB0BeIaY6NrEouERKxvpMNoguNMYOjEM2tx7g+T1zc0PXcm4TULWxr3DGYYoL6e7saO1U2CVdPqjsbunj4JrkSfYeaDbKFBdx7zTX9XV39up+RrDprttu0iLfc6HqakPrtVCxYhgYYTx90iq6uJSemzXIAiWU6StllL5XKAOlzt4FqNfXu/83X0miOolm++UKWvjYRsa/Hq5TWGTGIjZpgjjBe4HI7QKzVIWxdFzTqhUYAVfur2bVzV0Jt1iPiUGepcN6C6Ll1vqKsRpWrqGuziQ7u272ld2y7ya9q3qe4d0O0Dy/s0r7JCk1Q1RkmosOLqrvkC0SgCjb+cqHiTdNrx7v+GsZZu5j2N9bVUdGjvgLfCwN4hb1a85yHtpSHB2rNK7KDp2yjO3IFKtC5aSMrVta+V+2SUbHWHTL0ufdMriVTbLiIy0S6b1exI9TNW25Phlb1yKNMlgIbdLO3+sbIUJ/IMm5lB2xGeVt35fW3NVm/u2NvU5YQxVd814qvc3ERIL+RW9Mlxa6sKON2MZwVYYTEvc6raZhqLBwPr7FwPXFs+i0gylFgstHU32zNJVrlloR18lDaUYIGId++Q3V6V14XkpOMkyYWrfX9XN2NPBHD4E0hMvOmhB8C21+bNY/u7dCLcqcYHp7c3dztpKqeZ5uQHl9GKF5aMfX4U3Lw9bjZ3t/Y6Q5WaF4obMrh2TFfC2dvXM0D7Rx0dlhhF5Exem+XxcCNXZosoyrCljmU1saR7jeY/YXTm7E1dmZbtG911XMay+KEfromnuODwtGuSHiwl4rpLmjwhb5An1Jgps9kTBy2fztbVZ9zRxvajGo/9Ep5lvJJuJ8J5wVvL59ytLS9gq6d3Mz8reFkNbW9rtx33eTxo2WYjz3RY9rzDaZ6Cl2txU0PzDPmA1oHHAkb3OnowJw5XmPHr9vnKO217UrGRlHJVd9W7XIitYVm/8j4TEm8a61d38Q0Gvi/T329vNnB/ivFB6+3ZTEZuPAs/y1s8TJkoLo59fhSsjDSFJvTOrpO2oHHdkMFiol0JYy/tlVgtbPtoYVemfq9/JKCNHnIRza2ZOuyELXXspB2GREaInwRGujtE6dGLsBGXogRtb9GbCA5qrSKVqPXbMvLkD3Uu3d6yzd4RUtWVH1tlHHYNTfxkFHvCeEG1F5jwaGuXU+rJbuZvhVcq2861t3npkhMPeCzReil7B2CdO1DTIpbjFhic7k0zCRas7HjMJpFKrCbQ6fZ5ynu1VefxkJTiRK/mZwRXmzRoF2RZfNoEkhBv7E7EFvVqxV472EKPl60euftBHqV1jv0zs3GpWvRorg5TJpLjY58fja4Nm3vz+41N6DyHuiE9+bGdhrE3Y7WstsNHTXt7bc6un3jmQiqRl1sXFRpdfExRr0T7XCswi23gsV00PqOhoTfTMdAsO5wtiorUbm/J5Gy0+earxTUbLtmJHITYqKsu6kscWSCf4mG8kK8+XfPVVq+juhllKkW9VugVZHqUjSy6py39yQ3fFtb6rd6ujH0sEtHiWHSWPN3et7zUy/czBpJKsGeoHwAAD/dJREFULus76iBSamtNZIZxrJJVQYkkxJvMoNWyMEPLbnq/qbGjVzwp5nPgRV1sc50Fml3bqYx8ykjb4WsHl9LimyLMxrpt9et49AlTJppn450fBejiGk/ZQGVP9OjW3KNeEWaxOZbRO0AJkR3G3qZ2fUrPXenZjxf7VGzk4Q+i8rY46kW2nMrd1xq1mm+BPmsRDW3a6oKPYNvs6ElVaEyhxzEiHOkSfPP14Y9tALL1jJStXxMTe3tQ1aUGpcN4Iaguy/fV1vlNJlbE6Wa6pi4rtHkdFV+quh/vluxelHK0BzJMrGcX0r0P5rTLq9s/qClnCy5Et3eV1wV501FJ6vJoESOPnD1bBg6HPwEJrZjPeN7VYy+bUZChvTOX4+hEbY+y6U4v01B/MY2/4cN3KXi9jhBl3NtwBZv885//vOA6hVfQHnyQyxQDEqT14+DdmcIbDKwR1l7pN+UmJlG4yvYi01yzxM7lDTsu1avbIiULaa5TWCqti5J52qctR8vhyVFq8TKybee+EVoE5WttkHjv+8XaVTtJcqRZuRe1nLBe8Dw3sGUHauu+oDlHNe22wlXeXdy5pBvEqrvLOYYrploBR4qWyaowQfahyw8srwzwJkKT9FYMPudKePT1jFLBlcNciWeMDdNSWcpYUVqJhYU2hFDHcjoUnXj96Op6vAfmlghXJorVqOslIPymOZIVkKME8yjdlS5P6b71VLNlC5GehmQ1KVqOQs6n033yyXGUc2q6Ui5lPUpEOXWGSNZcjrJRRKNuWQnILqj1FM25Wm5UrWIZY6MqEV99fL+na6DJf0L7v3EuyfM3loCrlWZvApD7qAAv+EApKiuNJPH9nkW52ohKFRVsyGOVZm8yOym8EJdfQDIukkXLScL7AkUrX+6KND8qd5Nj2l6l2TumsAMbhxcC0RR4ASQLBBZ/ccSbAphW2vyo0uwtoCuUsSi8EBdskIyLZNFyEG8KQFdp86NKs7eArlDGovBCXLBBMi6SRctBvCkAXaXNjyrN3gK6QhmLwgtxwQbJuEgWLSdqvBFThgr5SWZWiKXUn4SxFWWvsDppP4UjkqZVGvVJKUlCbcyB96GNcSUMAQEQMI0A3oc2zaOwBwRAAARAoAwEou6nlUFFNAECIAACIGAAAcQbA5wIE0AABEAgBQQQb1LgJKgIAiAAAgYQQLwxwIkwAQRAAARSQADxJgVOgoogAAIgYAABxBsDnAgTQAAEQCAFBBBvUuAkqAgCIAACBhBAvDHAiTABBEAABFJAAPEmBU6CiiAAAiBgAAHEGwOcCBNAAARAIAUEEG9S4CSoCAIgAAIGEEC8McCJMAEEQAAEUkAA8SYFToKKIAACIGAAAcQbA5wIE0AABEAgBQQQb1LgJKgIAiAAAgYQQLwxwIkwAQRAAARSQADxJgVOgoogAAIgYAABxBsDnAgTQAAEQCAFBBBvUuAkqAgCIAACBhBAvDHAiTABBEAABFJAAPEmBU6CiiAAAiBgAAHEGwOcCBNAAARAIAUEEG9S4CSoCAIgAAIGEEC8McCJMAEEQAAEUkAA8SYFToKKIAACIGAAAcQbA5wIE0AABEAgBQQQb1LgJKgIAiAAAgYQQLwxwIkwAQRAAARSQADxJgVOgoogAAIgYAABxBsDnAgTQAAEQCAFBBBvUuAkqAgCIAACBhBAvDHAiTABBEAABFJAAPEmBU6CiiAAAiBgAAHEGwOcCBNAAARAIAUEEG9S4CSoCAIgAAIGEEC8McCJMAEEQAAEUkAA8SYFToKKIAACIGAAAcQbA5wIE0AABEAgBQQQb1LgJKgIAiAAAgYQQLwxwIkwAQRAAARSQADxJgVOgoogAAIgYAABxBsDnAgTQAAEQCAFBBBvUuAkqAgCIAACBhBAvDHAiTABBEAABFJAAPEmBU6CiiAAAiBgAAHEGwOcCBNAAARAIAUEEG9S4CSoCAIgAAIGEEC8McCJMAEEQAAEUkAA8SYFToKKIAACIGAAAcQbA5wIE0AABEAgBQQQb1LgJKgIAiAAAgYQQLwxwIkwAQRAAARSQADxJgVOgoogAAIgYAABxBsDnAgTQAAEQCAFBBBvUuAkqAgCIAACBhBAvDHAiTABBEAABFJAAPEmBU6CiiAAAiBgAAHEGwOcCBNAAARAIAUEEG9S4CSoCAIgAAIGEEC8McCJMAEEQAAEUkAA8SYFToKKIAACIGAAAcQbA5wIE0AABEAgBQQQb1LgJKgIAiAAAgYQQLwxwIkwAQRAAARSQADxJgVOgoogAAIgYAABxBsDnAgTQAAEQCAFBBBvUuAkqAgCIAACBhBAvDHAiTABBEAABFJAAPEmBU6CiiAAAiBgAAHEGwOcCBNAAARAIAUEEG9S4CSoCAIgAAIGEEC8McCJMAEEQAAEUkAA8SYFToKKIAACIGAAAcQbA5wIE0AABEAgBQQQb1LgJKgIAiAAAgYQQLwxwIkwAQRAAARSQADxJgVOgoogAAIgYAABxBsDnAgTQAAEQCAFBBBvUuAkqAgCIAACBhBAvDHAiTABBEAABFJAAPEmBU6CiiAAAiBgAAHEGwOcCBNAAARAIAUEEG9S4CSoCAIgAAIGEEC8McCJMAEEQAAEUkAA8SYFToKKIAACIGAAAcQbA5wIE0AABEAgBQQQb1LgJKgIAiAAAgYQQLwxwIkwAQRAAARSQADxJgVOgoogAAIgYAABxBsDnAgTQAAEQCAFBBBvUuAkqAgCIAACBhBAvDHAiTABBEAABFJAAPEmBU6CiiAAAiBgAAHEGwOcCBNAAARAIAUEEG9S4CSoCAIgAAIGEEC8McCJMAEEQAAEUkAA8SYFToKKIAACIGAAAcQbA5wIE0AABEAgBQQQb1LgJKgIAiAAAgYQQLwxwIkwAQRAAARSQADxJgVOgoogAAIgYAABxBsDnAgTQAAEQCAFBBBvUuAkqAgCIAACBhBAvDHAiTABBEAABFJAAPEmBU6CiiAAAiBgAAHEGwOcCBNAAARAIAUEEG9S4CSoCAIgAAIGEEC8McCJMAEEQAAEUkAA8SYFToKKIAACIGAAAcQbA5wIE0AABEAgBQQQb1LgJKgIAiAAAgYQQLwxwIkwAQRAAARSQADxJgVOgoogAAIgYAABxBsDnAgTQAAEQCAFBBBvUuAkqAgCIAACBhBAvDHAiTABBEAABFJAAPEmBU6CiiAAAiBgAAHEGwOcCBNAAARAIAUEEG9S4CSoCAIgAAIGEEC8McCJMAEEQAAEUkAA8SYFToKKIAACIGAAAcQbA5wIE0AABEAgBQQQb1LgJKgIAiAAAgYQQLwxwIkwAQRAAARSQADxJgVOgoogAAIgYAABxBsDnAgTQAAEQCAFBBBvUuAkqAgCIAACBhCojmjD4cOHI0pAdRAAARAAgUogEDXe/O53vwuJKZvNipLV1dXP8OPVV1+lnKqqKiVBlNFz1CUkQAAEQCD5BNRAJ1Q96aSTzuBHrubhBroJuRXTmxM13lDwKNT48ePHU7i56KKLpk+f7vFNoaJQHgRAAASSTIBm1T/72c9mzpyZq6Qn3ozjBw2PdIj0G2+8YVnDuRXTm1NwtPCYOmFC2PCrQguFqNdee43C/sgIW/HIZQ8TjPWNBy9OQQAE0kVADXSUGBkZnjJl6sGDB8U46Qkwwi6VSQk6RKShRLqsDqlt1HhDdPSWCJPATXwpSg8PDx89elQvQGnK58UoSf4YUe5RxfQIpDKRAIEiCIwbx6aKVJF6Wm6ChoMiZKIKCIQhQGPbsWPU61gIoUEvtwoNgzT5pqvUOY8dO0an4sgtaUxO1HjjC0IEm8985jPf+973cuONqEJhZniYOLPDVwgyQSA6gYkTxy+4bP6cOXO+/o1v6okFCxas+sIXjx1DvInOGBL8CVC8GWYTmnwrFQo2F1544YMPPkiBh2bn/oIMyo0/3ohg8973vrelpSUvqCwtbRBv8iLCxagEaFpz1llnzZs3z5M499xzKQdznah8UT+YgBjfxo/zWdnolQ4dOnTNNdds3bqVMo3vkDHHG4rStHI855xzaEZZV1enY/WkadPMjjZY33jQ4DQ+AhRTTjnllOknneRJTDvxRDHbia8pSAIBFwEKHjTEZbOuJw6uEvJk8uTJf/d3f/fVr36V9tPMDjnxxxuaS77jHe+g9Q29ESB5+ny+yY8jR47SxqXPZWSBQBwEpk2bKsQcPHgoN/H66wfiaAQyQMCHAEUOGt0mTz7O55qWRRP0d73rXTRg9vX1NTU1Id5obEZLUvCgvcgVK1a8/e1vP/744/MUF89vaMsSe+h5KOFSRAL0jFBI8E2g70XEi+p5CFDkoNFtZNj+vcOgkieffHJDQ8OsWbPOPvtss4MNEYh5fSMWK1u2bNm8efNxx+UL7DzesGCD9U1QR0R+dAI0oTn11FOnTJniSdBkiM91sLaOzhgS/AnQ61DDx4Zp29b/ssytr6+n9Q09ZaQOSfGGttTkFQM/Y443REi8kHbdddf19/fnASbWNxRsEG/yUMKliAToBj7zzDOnTp3qSdCOOeWg70XEi+p5CIgORk9w8pShS/Sc+4Mf/CAVpnhjdrAhY+OPNyRUhBx6kEMEg1gfGx7mT3DeGjX+B0lAPgiMSuDAgYNnnd1AxXwTR44cGVUCCoBAcQTY+9C0ZMm7vqEw87nPfU5EJuODDWEsSbwhuRRyRNQJctWRw0foaS0FdXqBI6gM8kEgIoG38PdkIxJE9eII0Pu34sj7/m2lrbCjxhvf35v1dRDBF/n0K070iOyVV16ePv1Eiv9Y3/jiQiYIgIABBA4demPSpEk06I1qC61v1DFq4ZQWiBpvPByJl4orQUSoTE1NzW9+85s//elPQWWQDwIgAAIGEJg4cSL9fggNemSL+JnHKCogyoifeUqm9FLUeFPcevA0fqQUGdQGARAAgYII0JNCmoibGkXCo4gab370WOAbAeGVQEkQAAEQAAHjCYy+/WU8AhgIAiAAAiBQBgKjP8UqgxJoAgRAAARAwHgCiDfGuxgGggAIgEAiCCDeJMINUAIEQAAEjCeAeGO8i2EgCIAACCSCAOJNItwAJUAABEDAeAKIN8a7GAaCAAiAQCIIIN4kwg1QAgRAAASMJ4B4Y7yLYSAIgAAIJIIA4k0i3AAlQAAEQMB4Aog3xrsYBoIACIBAIggg3iTCDVACBEAABIwngHhjvIthIAiAAAgkggDiTSLcACVAAARAwHgCiDfGuxgGggAIgEAiCCDeJMINUAIEQAAEjCeAeGO8i2EgCIAACCSCAOJNItwAJUAABEDAeAKIN8a7GAaCAAiAQCIIIN4kwg1QAgRAAASMJ4B4Y7yLYSAIgAAIJIIA4k0i3AAlQAAEQMB4Aog3xrsYBoIACIBAIggg3iTCDVACBEAABIwngHhjvIthIAiAAAgkggDiTSLcACVAAARAwHgCiDfGuxgGggAIgEAiCPx/ixX8KXqod4YAAAAASUVORK5CYII=" alt="" />

遇到的问题：

datagrid中有一个url属性，在data-options里面。给datagrid加载数据有两种用法，1：从远程站点加载数据的URL地址。从远程地址中加载datagrid数据。2：使用本地json数据给datagrid加载数据（通过loadData属性实现）。因为我要实现的功能是，选择搜索的类型，输入搜索值，按回车，使用Ajax去调springmvc的controller进行业务处理，取到要渲染的数据，这种需要比较适合使用上面提到的第二种使用方法。

具体实现：

首先在controller的具体方法上加上@ResponseBody,这样返回的就是json数据，再在ajax的回调函数中，给datagrid 属性loadData赋上json数据。

function doSearch(value,name){
            $.post("search/getSearchResult",{
                "value":value,
                "name":name
            },function(data){
                if (data==null || data=="") {
                    alert("输入名字有误，请重新输入");
                    $("#input1").val("");
                    window.location.reload();
                } else {
                    $("#dataTables").css('display','block');
                    if (name=='teacher') {
                        initTeacherDataGrid();
                    } else if (name=='student') {
                        initStudentDataGrid();
                    }
                    var jsdata = {'total':data.length,'rows':data};
                    $("#magazineGrid1").datagrid('loadData', jsdata);
                }
            });
        }