大师求助，为何直线没有在标注下，而是在标注线上？
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bYCTvBAAzAAAyEgQFErB8cImIRMIEEDJ5YPzp0GAZ/ygArMAADMAADMAADvjKAiPWDXUQsIhYRCwOBGPB1MqLcfkxG2Ak7wQAMwAAMhIEBRKwfHCJiETCBBAyeWD86dBgGf8oAKzAAAzAAAzAAA74ygIj1g11ELCIWEQsDgRjwdTKi3H5MRtgJO8EADMAADISBAUSsHxwiYhEwgQQMnlg/OnQYBn/KACswAAMwAAMwAAO+MoCI9YNdRCwiFhELA4EY8HUyotx+TEbYCTvBAAzAAAyEgQFErB8cImIRMIEEDJ5YPzp0GAZ/ygArMAADMAADMAADvjKAiPWDXUQsIhYRCwOBGPB1MqLcfkxG2Ak7wQAMwAAMhIEBRKwfHCJiETCBBAyeWD86dBgGf8oAKzAAAzAAAzAAA74ygIj1g11ELCIWEQsDgRjwdTKi3H5MRtgJO8EADMAADISBAUSsHxwiYhEwgQQMnlg/OnQYBn/KACswAAMwAAMwAAO+MoCI9YNdRCwiFhELA4EY8HUyotx+TEbYCTvBAAzAAAyEgQFErB8cImIRMIEEDJ5YPzp0GAZ/ygArMAADMAADMAADvjKAiPWDXUQsIhYRCwOBGPB1MqLcfkxG2Ak7wQAMwAAMhIEBRKwfHCJiETCBBAyeWD86dBgGf8oAKzAAAzAAAzAAA74ygIj1g11ELCIWEQsDgRjwdTKi3H5MRtgJO8EADMAADISBAUSsHxwiYhEwgQQMnlg/OnQYBn/KACswAAMwAAMwAAO+MoCI9YNdRCwiFhELA4EY8HUyotx+TEbYCTvBAAzAAAyEgQFErB8cImIRMIEEDJ5YPzp0GAZ/ygArMAADMAADMAADvjKAiPWDXUQsIhYRCwOBGPB1MqLcfkxG2Ak7wQAMwAAMhIEBRKwfHCJiETCBBAyeWD86dBgGf8oAKzAAAzAAAzAAA74ygIj1g11ELCIWEQsDgRjwdTKi3H5MRtgJO8EADMAADISBAUSsHxwiYhEwgQQMnlg/OnQYBn/KACswAAMwAAMwAAO+MoCI9YNdRCwiFhELA4EY8HUyotx+TEbYCTvBAAzAAAyEgQFErB8cImIRMIEEDJ5YPzp0GAZ/ygArMAADMAADMAADvjKAiPWDXUQsIhYRCwOBGPB1MqLcfkxG2Ak7wQAMwAAMhIEBRKwfHCJiETCBBAyeWD86dBgGf8oAKzAAAzAAAzAAA74ygIj1g11ELCIWEQsDgRjwdTKi3H5MRtgJO8EADMAADISBAUSsHxwiYhEwgQQMnlg/OnQYBn/KACswAAMwAAMwAAO+MoCI9YNdRCwiFhELA4EY8HUyotx+TEbYCTvBAAzAAAyEgQFErB8cImIRMIEEDJ5YPzp0GAZ/ygArMAADMAADMAADvjKAiPWDXUQsIhYRCwOBGPB1MqLcfkxG2Ak7wQAMwAAMhIEBRKwfHCJiETCBBAyeWD86dBgGf8oAKzAAAzAAAzAAA74ygIj1g11ELCIWEQsDgRjwdTKi3H5MRtgJO8EADMAADISBAUSsHxwiYhEwgQQMnlg/OnQYBn/KACswAAMwAAMwAAO+MoCI9YNdRCwiFhELA4EY8HUyotx+TEbYCTvBAAzAAAyEgQFErB8cImIRMIEEDJ5YPzp0GAZ/ygArMAADMAADMAADvjKAiPWDXUQsIhYRCwOBGPB1MqLcfkxG2Ak7wQAMwAAMhIEBRKwfHCJiETCBBAyeWD86dBgGf8oAKzAAAzAAAzAAA74ygIj1g11ELCIWEQsDgRjwdTKi3H5MRtgJO8EADMAADISBAUSsHxwiYhEwgQQMnlg/OnQYBn/KACswAAMwAAMwAAO+MoCI9YNdRCwiFhELA4EY8HUyotx+TEbYCTvBAAzAAAyEgQFErB8cImIRMIEEDJ5YPzp0GAZ/ygArMAADMAADMAADvjKAiPWDXUQsIhYRCwOBGPB1MqLcfkxG2Ak7wQAMwAAMhIEBRKwfHCJiETCBBAyeWD86dBgGf8oAKzAAAzAAAzAAA74ygIj1g11ELCIWEQsDgRjwdTKi3H5MRtgJO8EADMAADISBAUSsHxwiYhEwgQQMnlg/OnQYBn/KACswAAMwAAMwAAO+MoCI9YNdRCwiFhELA4EY8HUyotx+TEbYCTvBAAzAAAyEgQFErB8cImIRMIEEDJ5YPzp0GAZ/ygArMAADMAADMAADvjKAiPWDXUQsIhYRCwOBGPB1MqLcfkxG2Ak7wQAMwAAMhIEBRKwfHCJiETCBBAyeWD86dBgGf8oAKzAAAzAAAzAAA74ygIj1g11ELCIWEQsDgRjwdTKi3H5MRtgJO8EADMAADISBAUSsHxwiYhEwgQQMnlg/OnQYBn/KACswAAMwAAMwAAO+MoCI9YNdRCwiFhELA4EY8HUyotx+TEbYCTvBAAzAAAyEgQFErB8cImIRMIEEDJ5YPzp0GAZ/ygArMAADMAADMAADvjKAiPWDXUQsIhYRCwOBGPB1MqLcfkxG2Ak7wQAMwAAMhIEBRKwfHCJiETCBBAyeWD86dBgGf8oAKzAAAzAAAzAAA74ygIj1g11ELCIWEQsDgRjwdTKi3H5MRtgJO8EADMAADISBAUSsHxwiYhEwgQQMnlg/OnQYBn/KACswAAMwAAMwAAO+MoCI9YNdRCwiFhELA4EY8HUyotx+TEbYCTvBAAzAAAyEgQFErB8cImIRMIEEDJ5YPzp0GAZ/ygArMAADMAADMAADvjKAiPWDXUQsIhYRCwOBGPB1MqLcfkxG2Ak7wQAMwAAMhIEBRKwfHCJiETCBBAyeWD86dBgGf8oAKzAAAzAAAzAAA74ygIj1g11ELCIWEQsDgRjwdTKi3H5MRtgJO8EADMAADISBAUSsHxwiYhEwgQQMnlg/OnQYBn/KACswAAMwAAMwAAO+MoCI9YNdRCwiFhELA4EY8HUyotx+TEbYCTvBAAzAAAyEgQFErB8cImIRMIEEDJ5YPzp0GAZ/ygArMAADMAADMAADvjKAiPWDXUQsIhYRCwOBGPB1MqLcfkxG2Ak7wQAMwAAMhIEBRKwfHCJiETCBBAyeWD86dBgGf8oAKzAAAzAAAzAAA74ygIj1g11ELCIWEQsDgRjwdTKi3H5MRtgJO8EADMAADISBAUSsHxwiYhEwgQQMnlg/OnQYBn/KACswAAMwAAMwAAO+MoCI9YNdRCwiFhELA4EY8HUyotx+TEbYCTvBAAzAAAyEgQFErB8cImIRMIEEDJ5YPzp0GAZ/ygArMAADMAADMAADvjKAiPWDXUQsIhYRCwOBGPB1MqLcfkxG2Ak7wQAMwAAMhIEBRKwfHCJiETCBBAyeWD86dBgGf8oAKzAAAzAAAzAAA74ygIj1g11ELCIWEQsDgRjwdTKi3H5MRtgJO8EADMAADISBAUSsHxwiYhEwgQQMnlg/OnQYBn/KkHxWipapbM3bdLT2nXta994DbcCQEfbk6HE25pln7/kZPXaCDX5ytA0aNsr6DRpubTt1t9oNm1nxslXt4QIlAvX3ZNuwYvV6rjwjn37mnvJGq0NqXptsbTp0tXJVatu/Hi2S5Xao07C5DX7yKVN7p6a899o2/XWGjx5rTVu1t5Llq2W5Psm2eWbP90ihUlalVgPHe9deA6zf4Cdt+KixUdv4qXGTbOiIp63PgGHWuXtfa9T88aTZN7Plj/W9fzxc0EpVqG4NmrS2jl17W+/+Q//iZ2LUuql/9x8ywrr1Hmgt23a26nUbW/6iZXONnWO1E68nf/6gTTPepojYjLdZTnCGiEXEBpoUEbF+dOicGES4ZnLZ0M3uA3mLWJ4CJSxvkdKWr2gZa9Wusy1dsdre2fS+7dy11058861dunTJoh2//vqr/fjTKfv+5A925Ogxe2v9uzZp6vP2eMduVr5qHZNIeDBfMfvPRwoH6vtZta9uBnr1G+LKc/XatWhFzpbX/vjjD1v92htOQKgNMlsv2UdtN37SVPvp1M/26683s6X80S5y/vwFm79wsRN8ma1PTn9PfDyYt6g9Uqik5S1SxjTXDBs5xpYuX2XbP99lR48dt/MXLkSrvt2+fdtOnz5jBw4eto8+3m7zFr5sPfsNthLlqlrewqUtT8ESri/pGjlRT7HyYL4/61ageDnr1K2PzZr7om3+YKt9ve9AXH5++eWSHT/xre3YtcdWrnnDnh43yeo+1sK1kcaGZDyIyYk24ZrJnS9oz9S0JyI2Ne2abF4RsYjYQJM7ItaPDp3sAYLzZb/dCxYvb81ad7Axz0y2Fates7ff2Wif7dhl331/0k79fNouXLhoV69es1u3bkW9sf/999/t+o0bdu36dbt85Yr99NMpO3T4iH2+c7e9uf4dmzFnvnXp0c8J2lTbVzfapSvWsAlTnnPluf3bb1HLnB0vJkvEShiVr1bXXnplmd24ccPU3jl1+C5iH8hb1EpXqmntOve0aTPm2KrX3rCt2z6xr/btt2+/O2nnzl+wK1eu2s2b0R8UyKZ6aHPp8mU7e/acE317vvjS3t+y1ZYsX2ljJ0yxJi3bWbEyVQLNc8nuD3oIJa/r87Pm2abNW2zn7r129NgJJ7x/uXQpLj/q31evXrXzFy66B0D7Dxyyjz/9zF5d/bqNGjPBajVoliN1SnYbcb7sn2No88RtjohN3EZh4AgRi4gNNBEiYv3o0GEYVChD5lmpUK2udenZz+YvfNm2f77T3cTHEquZEU6XL192gnbN6+vsqXETrXHLdpa/WOqWKGr5coOmrW3B4iWZKW5Sv5MsEVuwRHlr/ngnW/f2hqSWLzMn81nEijstkR3y5FO2fOUa27f/oF385ZfMNEPU7/x8+ox9tmO3zX/pZevRd5CVqVTLeXtTPT7pwY3qVuex5m7Zv0TngUOHo5YxMy/KK73tk8/s2WkzrXGLtpaPJcaB7mFSbXfOn/l5L4xth4j1w56IWERsoAkAEetHhw7jZECZgrGjpYfysHz62Q67ePEX52lNtpdPQk7e0Bt/LTnWskbdbKfKRlrS2bFLL1v9+rrM3K8n9TvJErFaqqr9jPL25fThs4gVd89Mnu4EnjzaWhr8+x9/JK1J1Xdu3bpt16/fsI8+/tQGDBmZLasPtCRae9CXLF9lly9fsRs3fnV1S1bF1EZ6sKWl7PLu1mrQNGX9N1XjAucNNifQTjnXTojYnGv7jHCPiEXEBpoAEbF+dOiMdH4+Gx6b6kZ06nOzbNsn2+3M2XNOaCbrpjfWebSXUzfCb779jtuDWLayPFWZ3ysajaf8xcrZwKEjbePmD2IVI9teT5aIVWAoBVjSEu+cPnwUsUVKVbR2nbrb3BcX2e69X7ilwKluR3ll1be0N1zLix8uUDzQvBeN6Viv6SGUAphp//fKNWvdXt5U1iuy910rArQPOFa5eD084zy28McWiFg/bIWIRcQGmvwQsX50aCZJv+ykpYdlKtV0+18lKK9fv57K+96Y59Z+2QFDR1r5anUCjQdBOStUsoKNmzjVLY2OefFseiNZIrZyzQY2e95CF5gnm4oe8zK+idhHC5WyRs3b2ivLVtrhI0dj1isVb8j+u/d8YdNnzLEKVeskVcg+lK+YFS5V0foOHG5r31zv9vGmog6xzrnh3fesSq2Glq9ImaT236D9nM/5Ne9gr8T2QsQmbqMwcISIRcQGmvQQsX506DAMKpQhOCtFS1e2ORJE+w/YzZu3cixIkILnHD/xjXXu0S/QeBDUxkoNNGvuArffMdYNeHa9niwRW7NeE3t11euuvbKr7LGu45OIlaeyfuNWNmX6TDvxzXcu+FiseqXq9StXr7pov0rLI9EXlONEn9MqBu273fjeByab/PZb9gb7+vHHn9y1lYYrUVl5P/j4TFvdv22FiPXD9ohYRGygSQ8R60eHZtL1x05VajZwOS537fnCgqaeUaTSg4eOuL1wWrL40stL7/nRXjwtMdy1Z6+dOnU6cAoYibyXXl7mgj0la7ml9o8uXbHKRZqNJky0X1CpRuRJiqYLVboAACAASURBVFaXZL62cPFS6zNgqFWr08ilPclsX6nXuKVrf0WKjnYoNcqu3Xtt3VsbUl6nmXNftCe69TEFBMtsfbLre7opHD1mgluGrT2wiQ4tlz177pzt/fIrW//upqht+fLSFbZ23dtuH/nJH36ya9cSr2Q4e+68S3HTtVf/LLeZUi0VKlHBdK7172yyH378KVG17Pbt35yn9sjR47Zl68cuAnlaztVf1r39jn2y/XPnrVbU5UTtpa0B+tzU52ZbzfpNssR3dvHAdfyZq+5HWyFi/eATEYuIDTSRI2L96ND342TjW53lkdLN78Bho1zOV6XaiHUozM1vfwViunTpskvR8eKiJda6QxcrUb5a1L6rtB5Kv6H0Iu9v+chOnvzRrl27ljBwjq51+Mgxe/GlV6xk+WpZziP7zzwFTR6qtzdsjJnnU14reaIVJdkHO+rGpmmr9qYHD7JHtEN5TcdNnGK16hNwJ2JT8f5o4dJOnEVrs7SvKSBTZL+ngpxFovBGzpX290P5i7m8svKsbnh3s8ufLMGnBzKJjudmvWD6vmya9pwZ+VvRt/VQY8GiYNG3FZBJKbKU8mrJspXWrdcAK1K60t+uHwkMpfFh0SvLnUBXzmelGYoX6E3vKQXP0+MnW34iFv+tTTNiUz7LvY4YQMT6wQEiFhEbaLBHxPrRoZmAw2+nP/OM1rEXXlzkckDGS6GjJcYnvvnWVq15wy31bdn2CReNVMuQY3lLXYqPomWtUo361qRle+vQpac9N3Oufa0UJhfjpzBRXtntn+10HsvyVbO2P1b7YVu16+yWb8bK8/njT6dcUBp5s3xgt3jZKtZ/yAiXs1eRb6MdEriNmj+OkEgzt2of8bCRY2zP3i+jNdnfXjt16md77Y23bPTYidb88Y5u2W8sPnSjqYc2CrbVqEVbGzR8tMujKo4THVr626PPIFNfyix7xcpUthmz59mXX+9LdDn7/fc/nMh8ftYL1qlbHxcVXA+LtJ827fUjKXr0AEhRjrVEWIHE9EAqlvdfF5dwl5dZbadl/GnPyd/hnxewUbhshIgNlz1i9Q9EbJqJNlYj8XoB97RbT3j1xHnytBlWuGRFJknYgYFMMFCsbBXr3neQvff+lrg3vloa+c2339myV1e7m96sjEPyzE57fo5byinPbzyPjrw+WnrbLIv76xSpVd6kQzEC+Ei8y/Prixf2/zxcwGrUa+Ii3MqDHO2QWP/gw4+cJzsr9spt39XDF3nkT/7wY7Rmc69JhGlf9mtr37TuvQdmOB3OPx4uYMXLVbWOXXu7c+hc8Q69v2Lla25uy0x7KxesHhJt3faJS6UT71qKOK68z+MnTrV6jVreI1wTXT/yEEBjxunTZ9zqjFjX04OC1u27mKJAJzov7/txo46dst9OiNjsb/PMcI6IzcRNaGYa2vfv4In1o0P7ztn9UP7qdRvb8pWv2bHj8W+yv/v+pIt02qBpa3swnbcmo+30r0cLu/Q5Wpr51b4DcffJat+t0pEoVUhGr5P283Ufa2GTpz7vPMnRbrglppWmpkGT1lm6TtprpvJvLQOXV0zLrbXvNdpx7vwFZzN5bFNZFt/O3b3PQMd7PA+pls1rdUL9Jq1M+YW1BDmj9dSN54P5iroovfNfejmaie68pusdOXbceXAzeh19XnluJz77nBPeiZYvf/jRx9amY1crVbGGydMqljJyTbWF0l9p2bRyO1+LE8VcDwpeXvqqtXj8iQxdIyPl4bPcD+R2BhCxfjCOiEXEBproELF+dOjcPrHkhvo91vxxF/gn1p7K27dvO5GkwE1tOnYzLctNVr11461cmVqifD1GcB3tR1S6n6fGTcrSdZs/3sl5dGMFu9E1NmzcbLUbNMvSdZLVNonOI+Gh6M1rXl9n0cSYhMw3335vi5essKLp9jkmOndufV+CTSsPtEf48uXLFmvp/JkzZ93eT0X4LViifJb2qUbaslf/Ibblw21uyf4d5ZruD7HZvc+gTPUx5WaV110PfWIdqrOCUg0ePtq1Q6wtAJEyx/st/hRRWcus1X9jBXvSlgGlzOozYJgX/SpenXmP+46cYgAR6wd7iFhEbKCJDhHrR4fOqQGf6wbjQ16idk/0MO0FjXVIIClir258U9GudRu1cOk4JCLjHXPnv2QFipVznqPMlKNT1972xlsb7PSZs1Evc/T4CVu2YrVVq/NYSuqZmTLH+45ExMCho/70hF27dk+dJGLl5X5+9rxMiaJ41/b1vYfyF7fq9RrbnPkL72mvtC9ov/a0GXNcZN1k1VVRqEeNmWDHjp9Ie6m//f3z6dMuEFJG0u1ImKtfKN+s2I6131ve0gMHD1vfQcOtVIXqSWNcKzO0hFlLlKMdilT88+kzNnrcxKRdM1k24TzB5gnaKefbCRGb8zYI0g8QsYjYQBMdItaPDh2k0/OZnLNl6Yo13JLAWMJON6Xak6olq81adwjUNzNqTwWMkZdVe/TiHW+tf9fadeqeaUHWe8BQ++jj7S4aa7TrfPnVPps550XT3tmM1iEnPi8Rq7gAO3fvNaUGSn9IxCotioLwSOTkRBnDds2gInbrtk/dw50S5aJH3M5MvfL8FTl47xdfpTfVnf8VCElpihSIK+g1ipSqZO0793R7fOVZjrWU+MChw24lgqJU6+FV0PMn+ly12o+52BQ6f7RDAaRULq24SHQu3s+5uYC2D3fbI2LDbZ9I/0HEImIDTXSIWD86dKRj8zuc9lIgmLkvLrILF2MvQfx6/wGXdzKZ3pu0POQrUsbkjV312hvR7oHvvLbtk89sxFPjrVSFGoHGiLTX0N+KRrtv/0GXE/POSdP88en2HU5Ml65UM1PnT3+9VP8vEStvofZR3rx1K01N/vxTYuadjZut/+AnTWlSUl0eH84fVMRu/uBD0zL7wkkORqT8uTt377nHVpEXtId53oLF1qx1x8D20kOXZ6fPtN0JIi0rT/Dj2g6Q5MjbJStUtwFDRzpvbKQe0X5rJYUE9wN5kyegfWCOMoZz7vPNLohYPzhCxCJiA03eiFg/OrRvE8X9Vt5+g560dze9b1euXo123+m8OvLmlckGYadUH/GiFCvK6dTnZ2ciSuyfeXDHTZxqP5065XJ+Rqvsxvfet269B2QpxUl28SMB+8CjRZwHTPs3FRQo/SEPmKLdtu3YzfIULBloXM2u8ufUdXKjiNW+8nVvv+NWTKRnQP///kdqPaGRPLJLV6yyS5cvx/xRhPGa9Zvao4VKwSL3eTCQQQYQsX7c8yJiMwh2Tt0M5PR1EbF+dOic5oTrx+ZEQkh79LZ/vsuuX78R7f7XBb+RN0/ellS35YRnp5s8UbGC7WRWxEby4L708lIXfCaWUF64eIlLRZM+T2aq652Z8+crWsalYlGaGAW+iraEVPUcO2GKy9GZmci6mSlX2L+TG0WslvnvP3AoZoTg8xcumFYxKPBTKuwTySOr6N8KNBbrp1aDpiZuYTH2mJwK+3DO3NHeiFg/7IiIRcQGmmgRsX50aCbQ8NpJIvaJ7n3dPrmPPv7U9n75tR06fNR++umUKaKo8sIqrc6rq1+37EjRMuaZyaborDd+vXd/pxR2ZkWsoss2f7yjC+oUTan/9vvvLjKy0u/4wmvJ8tWtXece9vGnn0Wrkimi9JUrV037gH2pU3aUU0tZtVx86nOzorZb5EWtPujWe6D7bLLKpTyuSon01df7I5e55/fZs+fsuZlzA6d5eqRQSevSs78LnHTPyf56QbmdZ8190S2PTlZdOE94x3Vskzttg4j1w66IWERsoJsuRKwfHZoJNdx2Ur7XEuWquptrRS1V3ta31m80BZ9RQCfts3thwWIrkg0pWlIlYouXq2pKb6J8ltEOiWZFZ37Ko+iplWrUd3t8Y+2DvHr1qn373ffWpWe/QOPp/dRPdTM4fNTYaCjcee3g4SNur7iW6iarbSJ5XE98892d66T/49TPp23kmGcCBRfTQ6jyVevYqLET7Ny58+lPded/RahWXtzs2BKQrLbiPOGeN7BP9tsHEZv9bZ4ZzhGxiNhANw2IWD86dGYGAb6TvbaVd0oiVTfEdRo2t7adulvPvoNt0LBR7reCPymyaqrtIgGtvbnR9nfqjjyzgZ0U/VhRfGNFP3YphPanLoVQKtqtdsPmNn3mXDtw8NAdsZL2D4kaRS1W+qRUXN/3c3bvPdCUUuny5Stpm+3O3wp09tW+/TZw6EgrVqZyUpbADho+2nbv/cLtGb1zoTR/aEm/Ao916NLTLbtN1MYSsfWbtDLtJdfKiWjH1avX7P0tW612w2bsReXeirHAYwYQsdl7X5Ro/I31PiLW404Wy6ipeB0R60eHToXtOWfusn0kz+X8hS9Huw+/85oCUHXt2d+KZtArXLlmA5v9wgKXM/XOydL8oT2DSqki4Z6eLaWmkQdL56hRt7HVbtDsnp+a9ZuY0ozIO6rP5i9WLqkpTNKXSf83btHOlr26xk58822amtz9U8uy39n4vjVv0+lvddJ+xMIlK5qEfdXaDa1mvSb31Ed1rFGviXtfkW+1dPnRwqUznZ83Wvlz+jXtI12z9k23XP5uq/39L+0pXr5yjXsQUKhkhUzVXysdtJxdbCgHcbxDqwHWv7PJBT8K0j7/zFPQOnTp5YJ3RRPj2ictz+7K1Wvdvugg5+QzuWtsxZ65x56IWD9siYhFxP7tpivWIIyI9aNDx7Ifr2O/CANFSlV0eS51Ax/vWP36OmvUoq1pb2Hku0F+S5CtWPW6HTv+TdTT//zzaVu7br3zgKU9nzxdyr8564UFtuHd9+zznbtt/8FD9/xo6fWWrdts7bq3bc68hc6Tnap0RJHytW7fxTa+t8Utg45WqWPHT9iSZSutYdM2f2ur/EXLun2yyvu7ectW27Xni3vqozru2r3XlGZGbS4PeeOW7XKVEJKI79ZnoH22Y1e05nOvSQSeOXvO3tm02Vq2eyLDD0/+8XABUx7mrr3629o315v2psY7tL9ZgdaCppDSTa0LzPbZThewLP25Vf4jR4+bHg7pwUWEHX4z9sKAfwwgYv2wGSIWERtoskXE+tGhmSyxUyIG5OVUDknlo4123P7tNxekSAJRUZIfyl8s0BgRuW7dRi1t43sf2KlTP0c7vdv7K1Enr5bETat2nU2ph8ZOeNYJUwXiOX3mrAv+FO0ECqL0yy+XXFCqr/cdsNfeeMtmzn3RtMdXQXdq1W9q8shFypOM35269XaBrs6fvxCtSK4tlY6oaesOzossMT5w2CibMn2WS6l08NARu3Dhot28eTPq93/99abJQ6190VqWvOzV1S7gkPL0qp1ks2TUI6fO8WjhUm75vAIeaQlvrHZQ48hDunLNWps09Xn3AED5Y0uWrxa1/vJ0Kw+rUsnI9pOnzbC3NrxrP/70U0x+tH/58JFjNmP2PNO+2byFS0c9d/q20k3tM5On2xdf7jPZK/0hEbt7zxc2edpMK1i8fMxzPlKolFWp1cDti+/aa4D1G/yk2zM85plnLe3Pk6PHWf8hI1zAq5ZtO1v1uo1ND0XSl4v/GfNhIPkMIGKT36ap4BQRi4gNNCkiYv3o0KkYJDhn7rG9bvq1tHPXnr126dLl9Pfh7n/tFVSQopFPPxNobEjPR6PmjzshFuv8x098a1Omz7Re/YZYj76DbfVr65wHK2phMvCiRMQn23fY+EnTnEfu4fzF3d5KeXjTlzGj//fsO8gJzKvXrkUtkTysEpzKezt05BgnXCVIs3po//CmzVts8PDRlrdIaSfOdXOV0fKH4fOyQ9NWHdwDlJ9Pn3ERneO1jx5U7Dtw0OYtWGQdOvd0Ak4iLu1P0TKV3WqB8ZOn2ceffu4efsQ7px6AyEP78tJXrWXbJzLUjmr3Cc8+Z19+vT+qiFV+2C1bPzaJz3zpxKb63cMFijvBrLl02MgxtnT5Kpdu6+ix4+4BRvpyq/7qKzt27bGVa96wp8dNMqXVUZ5Y7ZnXtoAw2JUy5J75AVvetSUi9m5bhJkLRCwiNtBEiIj1o0OHebChbDnPkPaZjp801X744Ue7det2+vtm9//Zc+fd0tZuvQYEGhvS21VpTbSUONb5T/7woy16Zbm9vu5t2/PFl6b/lZ4mGYcCLH351T63LHfA0JHO+/dwEoJkDRgy0uUFlZc62qG8ofIGr3/3PRegSHsjr12/Hu2jGXpNokuCT0urlyxf6aIfl6pYw1sBU7hkBeeBfOHFRSYverxD+Yv1IOT4iW9s5649tmnzB/f8aAn2p9s/twOHDpu4VQ7fWIcecsgLvHDxUmvSsp0VKVUpQ3xLiGqvt9Jg3bp9b9/Rnt51b22wHn0GmTzPafuFPOlDRzxtryx71bZu+8Qx8u13J12eZrEfzTOt+strfP7CRfcARYxpCbRScGlZc60Gzf52jbTX4++cH2uxgd82QMT6YT9ELCI20ESIiPWjQzNxYqd4DAwYMsLee3+LKYpqrEP7OydMnm6KyBvvXNHek0jpM2Bo3DyaWlarm/FYQZJilSvo67r5P3f+vFvSLG9ytTqP2SMFS2a4LqqfvF3FylSxiVOei3t5LYF9f8tHMZdQx/1ygDdv3Lhhp0+fccGR+g9+8o6nOZoNwv6altrqQcfseQuT/hAjfVNKuErYKvCW9uNqv7UiSOfJBA8SsfLgXvzlF5NgTX/otVVr3nDLv8WbPK/K96zl0Fom7Pj4+XT6r2X4fy07V+Rw7Z1u2qq9YyEz9Qk7J5SPuSwnGUDE+sEfIhYRG+jmDhHrR4fOyUGfa4ebES3nXLHqNef10c19rOOzz3e66K4ZXa7453LR9iYvW6wUJLqmll1KaMZK7ROrXBl5XYJC3i3lCJUHrFyV2oHGufQMK0pw+yd62KrX3oh7+cj1oombuF8M+KbspXNLkMkr26FrL5dvOH15ffhfnDyQt4jb59uz32Bb/fqbduTY8YAtkbGPyZMt8S+vf5uOXV006wfzFTWVIaNtJRH7+rq3LFbfkX3SiljtJ+/YtZetf3eT86SKx2TwEek/P5362Xl1ew8YamUzyXdG24DPh3uMxz7Jsw8iNnltmUouEbGI2ECTOSLWjw6dysGCc/vLQK0GTW3qc7Pccsp4MkBLN7XcMqNpdcSGhEHnHv3cUt5oKUjiXTdV7127dt0+/WyHC8ijIFIKqpMRjpXyRwGatC81LIeWTCvS8ZAnn8pU4K2M1D+Vn9UDAj1caNWus015bpYT51oSnKzj3PkLbmn5K8tWWu/+Q6xY2SrOO5rZOknEKupxrEMCdcGiJW6vbcUa9Wz46LEuZ6yWy8uTnuxDDzQk0D/6+FO3ReBPvjO34iCzbcL3/J0TsF182yFi47dPWPhBxCJiA93UIWL96NBhGVgoRzh4kTdVuVQV+Veem+sx9mk6L9/Nm25Pn7xjQSO2prWzROzAoaNs8wdbLVYApPQ38vJqyVsm0avyab/hsRPf2MFDh6OmolHAKUUuvnT5ctR9hOnPH/lf3ku3R7ZanUDjXaReSpWiQFHbP98ZOVXC37///qenWctOtcxYZT567ETU+hw6fMR56STerly9mjDYUdqLuzy+vfpbkQzm8Y3ULad+6+ZQ+5SLlq5sFarVtRr1GrsovOvefsdOnvwxbRWz9LeWECvQkpaCt+3U3QnmgiUquGjbGfXE/uvRwpavSBl7c/27McuklQXPz37BlI6p76Dh9t4HH8b8bLLf0FJpRTKuUqthpuqXUyxw3XDME9jhXjsgYu9tkzBygohFxAa6qUPE+tGhwzjIUKacY6dYmcp30uncvHkr5nJGBSHSTb+W3mpfq7xOGbWbhMHT4yfbzl17A3uedOMvz6K8pTPnzLfRYye6CL/1m7Sy2g2a/f2nYTMX+Vf7EhWJVgIx6KHgOfIyy1OckXqp/RTMRwGBgh6/3rzpPGQKOjR9xhwXrVYpeu6pT4NmLh/smPGT7dXVa11EZ+3lDXpcuHjRPtn+udVv3DJDdcpI/VPx2UcLlTLNJ/Ikr1y91nlgFTFYez2jBTgK2h7pP6dzKcKvPKF6CLF4yQqXrqZ81ToZDoylfbx1GrWwDz78KP1l7vwfEbFDRz5te7/82i7+cunOe6n+Q1GstZdd/Scz9UuFnTlnzo37tH3W2x4Rm/U2zA4OEbGI2EA3QIhYPzp0dgwaXMMPFuo0bG7jJ061L776OqFn9OjxE/bysletQdPWgcaDaAxIxE6bMcely5FgjnVoGaS8rsqHunbd26Z8tIOffMoaNW/rxI0CKcUS0RWr17U2HbraoOGjbe6Li5zX9+TJHwKJZnl9X3p5mROOCroTrQ7pX1N+0qUrVjsPcaz66HV5nuVFlKhUjtPnZ71gfQYMswZNWrv9xYVKVoh6PeXgVf5P5YJVapZFryxzQa/OnD1nEsOJjjNnz7rcqLJ1+rKH7X/xUapCdXu8Yzf3YOD9Dz9yXurrKVhqm77dFOX4yNHj9vY7G92qhEo16pvEdNA2kre7aev2bg9q+nNH/pcH/t333nf7ZmNF21Zdz5w5a/LAK7iZohkr6vRLLy+987N0xSqTV1osKf2OlsQHObSaQt55BW/LzEqKoG3B5/wY/7FT1uyEiM1a+2UXf4hYRGygiRwR60eHzq6Bg+uElwcJQO39nDT1efvp1KmEaUfksXpn42ar37S1xRJbQewtkTJjznyXXueXS5ecsLz5VwCnSDAcLR1W+hlFalXEVu3V1d7IIOdP/xkJzPZdejphIm+bzq2gN7EOvXP4yDGbv/BlFzX2n3kSB/eR6Fq1Zq0TWxKqN2786oJSSTCoTvpRuhV5Et/esMkGDRtlVWo1sAfyFs1wnf7xcAHnRZMIkYD5+fRpU0qfSNtFq5f2Wipv6TOTpiUtJ276dk7G/7ohlGBv37mnE21aDp7oUBsrTZPyFksU6jvRfrQMW+2QyP6R68mr3mfgMNO+VQWYEreJ6hhExOr82ocrkZo+aJn+Vz2+++6kffzJZ27fuZb/1qwv/v8uppUHtnbDZm4v9pLlq1x/UjTxRIGhxIk8+W+8ud5tIchoYLZEbcD74R3zsU3ybYOITX6bpoJTRCwiNuEELvAQsX506FQMEpzTL9tXrlHfebr27P3S3dxLDMQ6JA4UtGjIiKetQPHypsitmbW3xED1uo2sa6/+Nm7iFCdWPvp4uxN4kUBPynWp5cDao1ixej3LV7Ssab9hZq6ZNoXJ5Kkz7Ov9B+NGRVYbaNnlhx99bM3adAwk2LV3U8t1e/cf6h4KyMuq/Ydaen3t2jUnTHbt+cLliH2s2eOm4DrygukGKDN1eqRQSSdAlIJm3oLFTnTH218scaQls4qerFykEkCZuW6qv6MHDkpto3Jqj3CsHMJpOVV+3M927Lb5L71sTz41zi0F13LwtD89+g6yp8dPsuUr17gl39qHnOiQV1bLfWfMnmdNWrW3/MXKJmyzoCJWQlMrDdI/eNCeaAWYGjx8tGNPOV61Vz0a/xKfKpNYqvtYC2v3RHe3rzdIih5dX/l3x02cSh5Z7u0Scp3qfu/z+RGxftz3IGIZ6AINdIhYPzq0z5MGZc86Y9XqNHI39YePHE24hFgeo0+373DLWCU+k9X+eQqWsPLV6libjt1MeVolxtasfdPlbX1u5lznjctolOBEZZMomD5jrhMn0UREWmGjthnx1Hj3YC7ReSPv5ytaxgXN6dStj1uOuuiV5S5S7RtvbbAJz053+Tojn03W7xaPd3LRbrWXV+Ik3iE7du8z0AmjZF0/GefRjWDeIqVdeptlr65OmBtYDxmUP3jL1m3uIcjYCVOsSct2LldvtPLI4126Uk1r17mnW8oukbz9sx1uv7T2ecc7vvjya/fwQUuxE+URDipi019PLB44eNjEi5bBK29stHokek0PKIaNHGNvbdjoHgLI6xzriOSR7dF3cKaulagsvJ/1cZo2DH8bImLDbyP1I0QsIjbQRIeI9aNDMznev3Zyy3lnz3O5URMJOd0Af7j1Y+cZkscn1h7UzPCkcuh8EhjyZGq5pCK75i9a1uRpzGyeznhlkTdXy5K1p1TRi9Mv50x7w6+AUMteXeOiyMY7Z9r3InV6MF8xk0jXtVQnids8BUtmavlw2vNH+1vtp2izGza+54Iepa1D+r8PHT7q8vPKcxftXDn1mpYQa+54fvY8tyognl3kvTx05Ki9uGiJW1Ytj7baWkt+43m29d6DeYs6tuSJbtq6g721fqOL+py+ndL+LyGoZeBDRjyVMI9wZkWsvMljJ06xGvWauDLGq0c8G7ktAgVLur3TS5evctG809Yl7d+RPLKTpjwfKhbi1Y/37t95K6y2R8T6wSQiFhEbaKJDxPrRocM6IVCu1PAj8ab8lwoMpOAwX3293y1zjbeEWNGA39+y1XlJK9es70RYbrCPhKaWMr/2xltxb/IVNXbHrj3Wb9DwQGNfTrZNgeLl3IMGRTqOd0gsbd32SYaEeXbUK1L+ROlmtCpAEYQnTZ1hjVu0tYfyBwu8Fa0OhUtVdMvVtQJA3tbIUvZo7aflx/LePtG9T1wWMiNi5fHXEuLGLdu5hx3RypqR18S39mgrYJiCol24cDFale68tvzVNSYvc2b3nGekbHw2NeM77Zpz7YqIzbm2zwj3iFhEbNzJOwITItaPDh2xF79zv73k5dRNbceuve3V1a/fuXmN94du2pXORql05OXLbZyUrljDpW758cefYnpjIylwxjwzOfT1lzdWuVSnPT/bEqVIUnCrrr0GhKZOKrv2Pcvr/c2330fFUg9blLv48x27XD7earUfS1r5td9Vka+PHD0WM7iZViwcPHTEpjw3yz3MibUiISMiVt5m7WPWEnrt/S5UInpk6sz2PS0tnjV3gXtgFbVR/3pRe2gVJKx42apJa9PMlpnv5f75KLfZGBHrB7OIWERsoAkOEetHh85tEwn1ic2d+uTQkWPso48/tbPnV9EXywAAIABJREFUzsW7n3XvKXDve+9vseGjxrqgMRLBua19tVS5VbvOzgN35cqVqG2iZau3bt2yZ6fPDH395X2TV1JiRGmJJPiiHRKDitDbd+Cw0NRJqZIUPVpeQ4nFaEdERM6YPd9KlKvqlp8ni0ntxa3bqIXLRZtIRCvVjSIFFyhWLmr7ZUTEKoLyl1/tc/uuFaAp2VGCFdBMQaHk5Y13fL5ztz0zeXro9kkny76cJ/bcQNtkvW0QsVlvw+zgEBGLiI06aaeHDxHrR4dObzf+z312097Shk3buBvUDz78yM6fvxDvXta99/3JH+ytDe86L6WCP2UlCnHYmardoJkp4NL33/8Qt13mLVxsEifyGIa9Torsq7yi2u8b65CQHT1uohUsUT7uHtLsqmudx5rbhGefc3u0Y5U56HLezJZZe2Sf6N7XXl/3dqwiuNf3fPGVPT1+cszVCdrXXaF6Xdu4+YO459Gbetiw+vV1zgub2XIH+d4zk6e5dFWx8gkfO37Clq1YHbNOQa7BZ3Lf/IFNg9kUERusnXKaJ0QsIjbQDRwi1o8OndMDCtdPLSfyyimHpJZJav9rokNeR3no1r+7yRpkMQ+sL7bVEtapz882CZN4h9Ll1GvcygVoCnvdZLuFi5eaUrXEOiRiZ8590WrUa2wKQJXTddI+be1PPn36TNQiq7xaAj105NMJAytltS6DnxwdN4+schdv2fqx8+LHupaWGq99c33UuqR98cjR4zZuwhTn2Y11rmS83n/wCPv0s50uxVLa60f+vnjxF/fgQ97oZFyPc6R2bKd9w9W+iNhw2SNW/0DEImIDTXCIWD86dKyOzuv+209LSwcOHenSbBw+cizmzWvkJla/FcRIOTS79OxnBbOYB9YXhrQvVkumt32yPW1T3PO3hH2nbr2tSKmKgcbAnKx/jbqNbcLk6S4H6D0V+esFiUItMW3Z9gnLE4Kl4r36D3HCMFYAIgWj2vzBVmvWukPCFDdZbXvllt2nPMIx8shK8Cm/qoR3rGsFFbFaPq2cwVoxEetcyXi9S8/+tv6dTTG3EiBi/R/zk8EJ58gcB4jYzLVbdvOGiEXEBppoEbF+dOjsHkC4Xmq50ESqVCPyLirP5IZ3N7kb8d9+/z2WljGJmes3btjBQ4dd5NV2nXu4CMb3i620t1J7Qz/Y8lHMNtIb773/ofUeMDTTuTuzsz0VzGfE6HG2N453+fff/3D27till0s3k53li3YtBQ/T3lDlfo126EHM4iUrrErNBoHmoGjXCPqa0u6sfm2dy7EarSxarXDq1M/WrXfswFgSsfLeJ0pfpWXfJStUT3mdWrfv4h5aaPlytOPq1Wu2e88XVr9Jq5SXJagd+Fxq5wvaN3nti4hNXlumkktELCI20ASHiPWjQ6dysODc2c+AloVWqd3QxjzzrO07cNCl1dAS4XiHbrKVC3XCs9PdUlntf9WEfL/YDxEbDhErZk+e/MFu3Ige1GnP3q9s2ow5LidsqtnU/PXUuElOVEfrO5FgX33jpF2SiF24eIkpHVC8fLfZJWK1xHz6zLn23fcno1XJVKfjJ75xKYtS3b6cP/vnBto8tW2OiE1t+yaLX0QsIjbQzS0i1o8OnayBgfPkvL0V2VT72ebOf8l27t5jinqqqLrxjki+0KfHT7JaDZoG6tu5zdaI2HCIWKWtuXL1akzBt+3j7fbk6HHZ4rUsXbGmaUmxctHGOiRMx0541oqVqWwSrOn7xX8+UsiJxqPHjsfth9klYuVh1d7vb7+Lnr5I9fzm2+9cntr0deH/nB/fsUG4bYCIDbd9Iv0HEYuIvWeyjsCR9jci1o8OndZm/O2nzZSSQ6k+GjV/3MZPnua8KbFuvCOv//rrTRelWLkhFWW1QPHoqULuByaUO3fQ8NG2ddsnkeaJ+vvdTe9b1579rWjpSoHGwJxsO0WUlmdTy3NjHVpGvvzVNW7ZeZ6CJXO8TgoyFe/YtHmLad+sRGOq2zZIihyJ2Odnv2DV6jwWNWK1bmplA+15vREjZZDqi4j1c9xNNYOc3y8uELF+2AsRi4gNdAOBiPWjQzNR+m+nwqUqWvsnerj0GIreqv16iQ4tKXzjzfXWrdcAK16uqv3r0Xs9SfcLGxWq1bVJU2fYrt174zab0qA0atHW5PEOe9vUb9zK5i1YbIePHotZJ4nYOfMXWu2GzUMRnTg3ithBw0a7YFTXrkXP1yvjIGL9H4PDPh5QvtQzhohNfRsng2NELCI20A0cItaPDp2MQYFz5JytFcCnz8BhLoCMUnUkOq5fv27bP9/hlhwrArEi8+aE/RR4atCwUTby6Wect0oeq7Q/el2RlStUq5Py8mmsWrBoiR04dDhu82l/owLwPJQ/ejqaOg2b2+Ann7LRYyf8rS6RemkprAIBFS2dek+iIvgqXU2s/Y+qqETsuIlTYi6HzW4ucttyYt3Uqo+tWfumXblyNSZbO3btcdsAHi1UKqWsN2vT0V586RX74cefopZFe+O/3n/A5ZTObttzvZybQ2j75LQ9IjY57ZhqHhGxiNhAEy0i1o8OneoBg/OnhgPtwXu4QAknmhQ1V5FF4x0SLDdv3nR73oaOHJPyPJuJ7C4xd+Kbb2Pe3Ks+2rvXtVf/QONNouvFe792g2b2xpsb7Lvvf4jZhGo/7SeMd54xz0y27+MEJvrl0iX77POd2RL9td0TPZyH7/SZs1Hr5AIT3b5t/QY9GbdO8eqb7PfGTpjiBJbEVLRDkZafm/lC9gR2qtXQRo2ZYF98+XW0orggSNpvHi+wk1Jc6WGCPOK//HIp6nn04lf7Dlj3PgOtTKWaKbVFp2593OoLBZqKdii1kfYd13mMPLHJZpvzpWYeDFO7ImL9sDEiFhEbaKJFxPrRocM0CVCW4MxUqlHfhox42jZu/sAUnOn27dvR7kvda7rZPnf+vG187wMbNeYZq1a3UY6nVGnfuaft2LnHzp47H7Xcqs/Vq1edlznVXDRp2c55oK5dj77kM9J+8lrGK8uQJ5+KmyJG5zl0+Gi2RH+Vd15tG0sQuhQxP5924ilenbLzvUQiVh7EtzZstJr1m8S1QzLKXLdRS5v1wgJnr2iABkmxo3IULlnBCd1YwlHnVjClWXNftMeaP57Seg0bNcbltlXwrGiHtiKse+sdq1GvcUrLkQz7cI7gcwVtlT1thYjNnnbOKs+IWERsoAkOEetHh87qgMD3s9fO8sAqsI0C3Ly/ZavFyvkYuUmV91VLSl9f97YNGDrSebHkwc1pu7Vo+4Stf/e9mEsbVX55C8dNnGpFY0R/TUYdFNRJ4jOWx1LluHz5sn359T63/DneNXv1G2Jbtn5s5y9cjDT/Pb8lxHr0HWSFSlRIiQ0eyFvU2Xj6jDn3XDvtC2fPnbPPd+62tp26p6Qc8dop1nvDRv4lsmIsvZV3Xp5R5Tt9JMWBqB7v2M0U9OzUz6fTNtudvy9e/MUJwg5deiVsP3lj9x84ZLEekpy/cMG2ffKZ9ew3OOG5YrVdvNcV+E37uJ+f9YIL5qaHKdEOeYTnzFvockzHOx/vZe+YT3v70d6IWD/shIhFxAaaaBGxfnRoJki/7KR9c1oqumLla255sJa5xjvOn79gb2/YaNo7+3D+4i4ViJY55rTdH2v2uL289FU7dvybmMWXiF2x6jUntFIhWtQOEpTr3n7Hrly5ErMcEjKvrX3L2nfuEbfdJGi0D1We8ViHPOKz5y20xi3axT1XZu1TsER5Gz5qnG3Zui1WEdzrR4+dsJeXrrAGTVqnpByZKX/Hrr1t7ZvrYz5QEA/KZ5wdy+EVrVoPgGL1LzGhBxat2nVO2H51HmvuGNNS82jH73/84VLwTJr6fMJzZaZd8xYpY7UbNrNVr70Rsz4q1+YPtrrl5cXLVklJOTJTdr7j1/x0P9sLEesHq4hYRGygCQ4R60eHvp8nHd/qLm+Kcj0uXb7KlHsy3qEcsUeOHbf5L71s7Z7obo+kOGhMRtvyz8BOo23XntgRgf/4w0zBql586WVTypOMXiPe5/UwoFzVOrZw8VL75tvv4+bx3Lf/oBO7ifYsKsrvhGenu72+sWxz48avzoM3ftK0pNZHdc1frJxbkvrGWxuc2ItVBr3+wYfbrFnrjtkSZCqeHdK+J7E34dnn7MQ338Us+uXLV0ypjuLtRU17zoz+rYcl8pwuWb4yZhn0xsFDR2zOvJdMwbwSXUOsPzt9pu3e+2XccyqFUO/+Q61YmeSKyHJVarsVDfK8xzsWL1lu2qaQp2DOr9RI1Ka8z/1F2BhAxPrBJCIWEZtw0tbggoj1o0OHbSKgPLG5qV63sT01fpIdPX4i5r2ovDrXr98wCS95Ohs0bROov2Z3uxcsXt55h7RPV/tf5WWLdejmX/tWlQs3WeXUjb32je7YFf/GXvk9tWxbUYkTXVvLvOWN3fvl13b7t99iVce9vv6dTS64VjIfLtSo18Tl/I3n3ZZnURGqX1n2asL6JKpvst+XeOvQtZd98VXs9lO7njt33pW/RLmqLrhZssqRp0AJt2Jhxpz5piBS8Q6lxVHQsSDRvYuUqmTaA64VEVrKG4t1LTXfsHGz8+4mK42T8j9rybi8rLG2Hijf7dVr1+yZycl/sJIs23Ce2PMCbROOtkHEhsMOifoDIhYRG+jmBxHrR4dO1OF5Pzx2VMqZ3Xu/sEuXLse8v/7115suGI32tpWvWsceLZzatB2Z5UN7e1U2LWk9d/6C6UY61hFZzqtl1Jm9Xvrv6VyffrbD4gXckayWV3DRK8sDeSy1H7VKrYYugNbFX36JVR33ujzpi5ckdzmvUhbt2ful28Mb6+Li4+Dho5aqpavp2zkj/6v9qtZuaJs2fxAzmq8EoB567NrzhcmbXa32Y0ljolqdRjbiqfGuDRNF+1677m3T0u0H8xVNeH3tSdUDGO1T1t5rLVOOduh1CVlxkYy9yrqp1kOVJctX2c8/n7abN6PvhdV48sVX+2zAkBEJ65IRe/LZ8Mwd2CL1tkDEpr6Nk8ExIhYRG2iiQ8T60aGTMShwjtTaOn/Rsi53o25GlaojViRi3YweOHjYRTpt3qZjoH6ak7bTnlRFS97++U7nPY52Y6/X5DnUkl/tj1Xwm2p1HrN8RctmuH5FS1dye0D1MGD16+tMKUViCQpdV4Jp9WvrTHs1g3pMlQNWAXQkCuIdspWWSs9f+LI90b2P88pmJk+oAlNp+aty0CpSdTw+VB4FEdI1lTM0J20f69oK4qX2+zJB++nhg7iZOWe+KXVM2Sq1LTPtp3IULlXRicZpM+bYlg+3xQ3MJV70YEOCNFYdYr0udj/48KO455fnf//BQ/bKspX2RPe+JvvGOl+817X0vWuvAbbs1dVu6XMsASsmFPhNeZKbtu6QqWvFKwfvpXZuoH3D076I2PDYIl6/QMQiYgNNdIhYPzp0vM7OezlvQ02MVWs1tNkvLLCvvt4fTxc5UaSbX/U9H2wnEdu0VXubO/8llw4mVhCdSKWVZ1VLTZW/s1aDZi5N0IN5i5raKH19dW55ex94tIg9lL+48/o2b9PJiR7dtCc65Bm+du16hlP8PFq4tLV/ooe9uvp197BBy7vjHfJCK0CQok3Li6v9iA/kLRK1Tv/M81ed8ha1hwsUt3xFyziBrf2b8bzzkevr4cfho8eyJcVPensE/T+v2q9zT1u5Zm0G2m+be7hRuVYDy1OwpD2Ur5izfaxrihd5fdWGup7E21vrN7ocv5G2ivZbDzUUlViRviUQY50/1ut/7vmd7rYD/JYgIJtWH3z40SdOoOcrUsY9RHnwr3qJ7bTXuMN63qKmJdEK5NSt90D7+NPPYwbJitRPTOzcvdd5bIuXq/q386a9Bn/n/FyADcJtA0RsuO0T6T+IWERsoIkOEetHh450bH6H016KFNqj72C3xFFetniHhJNulHUT64s9lUdTns6t2z5NeMOt/YRapqv9vm+uf9emPj/bedC0L1FLNtPWWQJPoqZxy3bWd+Bw52lSyhRF5ZU4TXRoX6keCDTM4J5ilUN7O5W25+v9B53oiXctefbkVdzzxVfO66tcqU1atbdiUSLEqq20L1pedqWjkZft408+s2+/U2Cq2HmCI9fXA4AZs+dZhWp1/9ZWadstp/++034jnnZ2lmiMd6RtP0XfVWCtbr0HmJYGR6uLxGvpSjVdGw4d8bTbW7v9sx0uEFasFDiR62uJ8df7DrjgSyXLV4t6/mjXjLymfa6Kyv3Gm+vjppbS9RQA7MzZc7Zr9157/Y23TPt0u/Ts74KRSXxHzqnfEu6yqdICPTVukotCrH3k8fIE6xoS5epLeoikrQd62JP2vPwdzjkBu4TTLojYcNolfX9BxCJiA010iFg/OnT6Ds7/4bKbPJUvLFhkFxLczOum9M2337HOPfrl2I+WtSqVj26qM8JR2cq1XECijz7ebjdu3IibBiQiKC5cvOgExdIVq92Ne/c+g/5Wb+XE1b5PLZ1d/+4mt2RSwWsSHfJMKUWO9jxKFCh4UEbqEvmsUppMnzHXBXn69ddfYwbzSVseXVcRZOe/9Io9+dS4v9VHdpXomvLcLBdRWSl0zpw968RO2nNE+1uCSHstX3p5mfN8ZyVAlnIM12/c0qV5isdaw2ZtrEDxYHtGI22W9rei/k6fOdflhc1I+2mvrGw3ZfrMe9pP5VVKpafHT3JtGC8PbLR2vPsQoE6mmFD9FGhp4LBRtuHd91ze2EQBwFSOK1evun3ur61908ZNnGK9Bwz9W936Dhzm9gdru4H2eV9M8LBL5xTnSiu1dMUqZ8uM9tm0tuLvcM0Z2CNn7IGIzZl2zyjviFhEbKAJHBHrR4fO6ADA57PPrlomKM/Kjl177PqNG9Huq//2moL2KLVOTv1s+2S7TZg83SRKM8KJJn8tg5w45Tn76dQpk2hJdGiZrm7EJXp1k5++zpevXHERV7WfVu2i5cHyPCU6rly5akp1MnDoKIu1VDlI3f71qAJXlbZFryxzntZ4gasiZdJyanlUFV1a5UhfJ4mOa9euufflgdTng9RJS1O1BFZ7R7VUOf1y1CD1iXxGezRXrVlr33z73T3lS1vet9a/69JBFSpZIUMsRK6j9tMy2kVLlmes/W7fdvyondKWJ+3f4kVtHGnDSPsn+i1vqPZGa5l6pJwZ/a22l8ez/5ARbvmyypnokI0ldtUv5A1WmqG09dH/el19QasVEi1h1/XUBie++da69xnoglNlhYmMtgGfz745hLbOvrZGxGZfW2eFa0QsIjbQBI6I9aNDZ2Uw4LuptbFuLF986RW3rDCIxybRzXCq31dkXC3x1dLEzLAh79v4iVPdvtcgXtNk1+fkDz+64EgDhox0HuXM1CHtd2Q/edJnvbDALfkN8iAimXWS+NGyaAWxkoBNlOc2bdlj/a2l21rKfe78+bhF3bxlq8tZq6BJsc6V6PWcbj9VUOLw8JGjLqhYm45dM12X9HVVPtbBT462jz7+1PTAJdF+8LiNnYE3tRf38uXLLsCUohFntq+mrw//p3YuoH3D376I2PDbSP0IEYuIDTSRI2L96NBMjuG0k4K4aA+kPFq+HFkVsWJRuVa1R0/RaeWNvHU78V7PrLaPPHJKfaIlntprGiQnbEb6Tc36Td0+xUNHjrr9uEG8slmtk/b9/vjTKRcgSVFxFcAoI2WO9dnsFLGRMqj9JMQlJlWv7Gg/ecTl4fziy6/tpZeXuuBPim4dKVMyfuumV8uDd+7e46JGx4sgnFUe9H1xfvbcOft8xy4bPXZiUuuSjPbgHOGci7BLMLsgYoO1U07zhIhFxAaa/BCxfnTonB5QuH50TspUqmXdew90aUSScQObHedIhohVYB95DIeOHOOipiby+CWjXvLAKhesUt0oxUuQ3J8Z4faRgiWtYvV6bo+uIkzL85bqQ2laFMSpxeNPmJb06gYrI2WO9dmcELGR9ps8bYZ9te+Ae7iR6vY7e/ac2588aNhol/4ob5HS9wQPi9VGQV+Xp7lEuWou0vHmD7baT6d+Tmm1tC/63U3vW6duvU0B44KWk89FH6NpF9olLQOIWD94QMQiYgNNfohYPzp02kGYv8Njs5r1mphu2hU91JcjGSI2wqACRA0fPc55EhVQR2L215s3k9YUWq78/ckf7Z2Nm+3ZaTOsdfsumc7JGSlzot/1G7eycROnOu+68vlqWaf2MCbriOSeVWAjBS96rPnjVrhk5pfzRqtPTojYSDnUfmOeedaWr1xju/bsTXr7ac+pPJV7v/zKVqx63Xnl9fAhcv1U/S5RvpqLoP3Ci4vs/S1bTQ9VtL81GYeWsCul1Kb3t9iceQutV78h7kFNqurCecMzh2CL7LUFIjZ72zuzfCNiEbGBJnVErB8dOrMDAd9LrX0V3XXxkhV27PiJZNzLZss5kilixVdkT6T22X6+c5eLsKvlpBIbWmasfYSJghtpX6g+c/v2b245pQL6yBN65Ohxe3vDJmvWpmOg8SxZvEfyyM5buNj2HThop0+fcVFqJdAVqCponbSkVp9X0CqlhtHSV3kpX176qss3m6zypj9PTopYleWh/MVcHmQtw91/4KCdOvWzs2ckUJPsHJQJfU4ciSdx9cOPP7rovs9Om5kjuXS1jL1j114umnYkcJbq5YI1/cW6yhzriLCuzysi9dWrV91e7HVvbXCRtskDm9oxO31f4f/7q70RsX7YGxGLiA1004eI9aNDM9GG004tHu9k6995z3llYt20hu31ZItYsal9wRpL1B5Km6O0K8qzqWspv6p+lDtWAWuiHfJ2ahmlPJ/vvf+hLVj0ig0aPtrll1XOzmR7KhP1p0ge1Jr1m1ibDl2dt2/O/Jdsw8bNLq9spE4SpdEOiVflTpV3TaJ1/TubbNbcF61X/yHOm6zgWMna/xqtLjktYnWjqKW9Coyk9pPoU07ehYuXmpbkys6yd6L2UzufPnPGdv+VkmfajDkuYnDzxzu6hwCFSmQuqnK0Ngv6mvK/apmvPOjtnuhhXXv1d/txP9uxy+1vVpnPn78Q03uvIFTy4m7/fKcpZ7SifWs/tB6IaZk8eWDDOdYH5YPPhdt+iNhw2yfSfxCxiFhELAwEYiAyaPA744N7rQbNbNrzc9xy2k2bPzAffrQcsmffwVasTGr222lvp9pFOWF1g64cl/pRyhctC07fRhs3f2Br1r7p0tw8N+sFGzx8tDVt1cGykic12SwXL1vViYx+g580CalInZQTNH199L/quXLNWifG5aHuM3CY1Wvc0nkok122aOeT6B8/aaqlLZ9y20pYKxhS5EhGdOJo14/2WsES5a15m45OzD4/a57b35y2fGnb8Z2N77n2Uzsrr+qEZ6dbt94DTQ8VckK4RqtP5DWtRGjeppONnTDF1UllXrHqNffgIm2dIn9rGbmCUD09frJ17NrbRdjOW6QMYzXzNQxkAwOI2Izf50TGuuz8jYjNhs6QnQZN1bXwxPrRoVNlf86bNfsrT+YjhUqabkLzFy3rxc+jhUo5MaXJPBX2/2eegqZ2eShfMctTUG1T+q+f2G2kXKNawqu2fDh/8SznSU12vdRW8s7KS/anvf+sk8ody+5i4tHCpdzn9T19X4In2WWLdj5dJ0/BEi6Ha6R8j3fs5jzj2pMbObJTxKpMyn8r+6oNZe9E7RdhRxyJJ3ElvqLVOSdfeyBvUdfeqlOkzPmKRmcjwrrso+jmymebXVzkZBtx7azNNbRfctoPEZucdkw1j4hYRGygiR4R60eHTvWAwfnhAAZyNwPygh45euxvgbfWvf2OWxqrJbLYP3fbH/tiXxgo4CLAV6hW163+eWXZqy7eQpEkp+WinbPe1xCxiNhANyWI2Kx3NgYs2hAGYCDMDMjj16FLLzv189/Tw2jJc5jLTdnoVzAAA8lkAE+sHzwhYhGxgW5OELF+dOhkDuKcC5vDwP3FgAI9DRs1xpRXNe2BiL2/OKDfY+/7nQFErB99ABGLiEXEwkAgBu73SY36+zGpYafM2Un7LRUNeepzs+38hYtOwyoFzLVr1+zlpSsYI5gnYAAG7hsGELGZm0eye/5FxDIoBRqU8MT60aGzewDhenABA7mDAYnY1u272OIly+2XS5eciFWEYqW4Udof7Jw77IwdsSMMJGYAEZu4jcLAESIWERvo5gQR60eHDsOgQhlgBQb8Y0DRfIeOeNo+/Ohju3b9uhOx8sJ+sv1zGz5qbKB5Arv7Z3dshs1g4F4GELH3tkkYOUHEImID3ZwgYv3o0GEcZChTatmRB00Tbjh/wpfmJLt4DLddCv0tXYvSKZWvWscWLFpiJ775zm7duuVE7LnzF2zui4usaav2geaJ7GrbZFzHJ/sko76cI7XjMO2bu9oXEeuHPRGxiNhANyeIWD86NBPp/WUn3YgrJ+aD+YqG8kf5PlXG+5HL/3ykUChtEmFF5YvYpWL1ejZ4+GjbsWuP/fbbb/aHk7Bm35/8wS0xVn7TyGdzy2+f7JNb2px63F/zk8/2RsT6wSoiFhEb6OYEEetHh/Z50qDsGWNMyz+Vt7NC1VpWvV5jq1K/pVV2P62scv2c/GnpylK9bmOrUqOO5S1cynmJ7xf7SrRLIBUvW8lq1n3MqtZrHhK7iImWVrVeM6tZt6EVK13R8hUp4/IfPjt9pls2fObM2b/kq9nhI0dt8ZIVVqVWw0BzhC/29cc+FRxH9+tDIF94opwZm7d8aS9ErB92RcQiYgPdoCBi/ejQvkwQlDPrPEko5S9axho3b2Mtuw62Oj2ftdo9p1qtntNz9Kd2z2muLM27DLFWrdtY0dIVnLf4frG5Hi7IA121VgNr27m3New+1mr3nJKjNokwoXI81u0pa9epi1WpUdtKVahuz82ca3u++OqOeNVS4osXf7FVa9Zau07drVDJCoHmCF/se8c+tWWfPuG1T/XajiNEbNbHSl/YpJzhsTU6gFT5AAAgAElEQVQiNjy2iNcvELGI2EA3KIhYPzp0vM7Oe7nLhhKx+YqWtfotOlnV3nPsP4bstf899ID9P8OO5OjP/x520P7foV9a+R5zrVmLllakVPn7UsRWqt3EGnd/yvIO3Gj/PnRfjtokwsS/D/3a8vd705p16GWVqtWySjXq2QcffmRXr167I2KVI3bjex9Yn4HDLH+xsvavR4sEmiN8GV8iIrZSnSbWyNlnU6jsU8DZp6ezz/28HN8Xnihn7ppXI/ZExPphV0QsIjbQDQoi1o8OHRmA+Z377RURsXVbdrGyfV+x/zXijP2PkZftv426kaM//9fIq/a/Rpy1Yr2WWNPmLe5bEVuxTjOr32OC/X9D9tj/PfJijtokwoTK8Y+Bn1jj9n2sYtWaVrZyTVv0ynI7cPCwXbp02e2JVYqdvgOHW+WaDQLNDb6NNRERG7GPHv6EyT7/dPbp7eyDiM3947hv/ed+KS8i1o++h4hFxAa6UUHE+tGh75cJhnoWcPvl8hYtZxKxpfsut/858pL911G37N9GW47+/JdRt+1/jLxiRXqtuO9FbL0ek5yX77+Nup6jNokw8d9HXbf/GLTTGrXv60RSoRLlrUOXXjZv4WL7at9+e2rcJKtSq4HlxkBOkTHjrohtbn/aZ7+Fyz477jxkQMQy70a45Xf2soCIzd72zizfiFhELCIWBgIxkNlBhu+lZjKQJxYRm5q2zQqzd0VSs79E0r6QiaS7IjZPwRJWolxVq1m/iYtCrCjFeQuXztWBuO7aBxGbFc75bvjGHmySPJsgYpPXlqnkEhGLgAkkYPDE/r1D/+PhAnfychJ44+9tk8oBi3PfbWtE7N22CBMXd0VS+EXs/ejpu2sfRGyY+g1lCcd4Frm3+Ueegqa/71e7IGL9sD0iFhEbaJBCxN7t0JFB/sG8Re2h/MVztdfifp3AfKg3IvZunwyTve6KJERsmOwSKctd+yBiI23C73COJTlhF/UP5ZLWAy4JuftVyCJi/egTiFhELCI2DQPyqmrweuDRIvZwgRKWr2gZK1amimmZXd1GLdySux59B9mTo8eacis+P2uede8z0CTyc2LC4Zp+DLSpsBMiNpy2vyuSELGp4D6r57xrH0RsVtuS74dzDMqMXXTf06x1Bxv59DP23KwX7JnJ02zIk6Otc49+Lpd0jXpNrGyVWlakVEV7tHBpeyh/MRd1/k+hWzDX3f8gYv1gGxGbRsBkpuPfL9/JDZ5YPVGMiNR/PVLYHsxXzLQnTEK1cMkKbm9YuSq1XWCT2g2aWuMWbe3xjl2te++BNmzkGJs8bYYpcuf6dzfZzl177Nvvvrcffzxlryx71dp37pnrBvH7hW1f64mIDecke1ckIWLD2Lfu2gcRG0b7UKacGdf+85HCNnrsRPvo40/tp1M/25Gjx+yT7Z/Z6+vetnkLFtu4iVNtwNCR1qlbH2vauoPVb9LKatRrbJVr1ndRzvWwv2CJ8m5P/cMFirvgcDrnHZHr2dJkRGzOcJjR/o+IRcQGEl++i9iIeFXUzUcKlrSCxctZ6Yo1rEbdxtai7RPWq/8QGzthihus17y+zjZt3mI7d+9xA/nxE984wfrDjz/Z6TNn7cLFi3blylX79ddf7cKFi7bs1dWIWPpRoH6U0QE63ucRseGcZO+KJERsPH5z6r279kHE5pQNuG74xi4JTj2s37J1m12+csWu37hhly9ftnPnL9ipn0/byZM/2jfffmcHDh6yT7Z/bh98uM02bNxsK1ausRlz5tuIp8Zb5579rFGLti49lwLGyUEgQatc03fErCf3CojY8DEabdxAxHrSoaIZLztfC7OIjQhUeVe1xEXRNQuXrGhlKtV0y3wbNmtjbTp0dct+9SRx1JgJbinwrLkv2sLFS23lmrX2zsbN9ulnO2z/gUP23fcn7ey5c3b9+nVLdPxy6RIilj6U7QJWfR8RG85J9q5IQsRm5xwV9Fp37YOIDdpmfC6cY00y7SIR++RT42zbJ9vtxo0bMW99bt++bZcuX7bzFy7a6dNn7MQ339oXX+2zrds+tTfXv+vuh+YvXGxTps90nl0J436DhluXnn2tZdsnrG6jllapRn0rWb6acyY8Uqik24P7p9dWwaTCsTQZEesH84hYbsAD3YDntIjVwBYRqxrstGdVy4G1bzVv4VJuMCxaupKVq1zLeVebtGxvXXv1d/s75sxbaGvXvW3bP99pBw8fsZ9PnzENxMk4ELF+DHTJnOzDci5EbDjZuyuSELFh6Stpy3HXPojYtO3C3+EcT7LLLrqvGjN+su3YucetMsvq/dHly1fshx9PuVVsX+87YFu3fWIrVr1m02bMsUHDR1uHLj2tQdPWzmtbqkJ1K1yqghUoVtYeLVzKHs5f3AlbeXD/FLcKMJW9AhcR60d/QMQiYkMrYjVo/aeCLOUtYnkKlLD8xcq6p3cS1Nqv+kT3vjZ0xNNur6qe/C1fucY2bHzP7emQV3X3ni9s3/6Dduz4CdNS4PPnL5gG1hu//mp//PFHVsdo931ErB8DXXbdCGTndRCx4WTvrkhCxGZnfwh6rbv2QcQGbTM+F86xJpl2SbaIlaPg+vUbdu3aNdN90pmz5+z7kz/Y4aPH7Muv97m4Itp/K++tVsMtWb7KZs9bYOMnTbX+g0dY2yd6WL3Graxi9bpWrGxly1tEwaS0NDnNPtsU3r8jYv1gHhGbwk6QzAEmp8+VbE9sJE2NBk6lqlGApfxFy1rRMpWtbOVabhlwvcYtrXmbDta2U3fr1nuADRo2ykaPmeBEqwINrH7tDXt/y0e298uvTPtWT585E3cZTFJUa7qTIGL9GOhyuv+k4vp+iNiWVqR0JftX3uL2f/IUuS9+/vlIMXswf0mrWKeF1esxyf596D77b6Ou27+Nthz/+e+jrtt/DNppjdr3tYrV6tgD+UrYPx8pel/YJcLfHfvUbfmXffaHzD47rHH7Plaxak33AFcPc1MxfnBO5q60DCRbxKa7VYr672+//Wa/XLrsBK6CSUng7ti1297ZtNktS9aWL0VJHjryabcdrFO33m5rWJNW7azOY83dsuRSFWpY4VIVncj9M6BUEfvnI4Usq3luEbF+9A9ELCI20ASZTBEbEbASrwqyVKhEeStbqabVqt/UHu/YzQYOG2VTn5/tPKvvb9lqu/d+4QIKKNjAlatX7eq1a26/qjyqN2/edEuDNRj+/vvvSfOwRh1xo7yIiPVjoEs7WeeWv/0Qsa2taJma9kCBCvaPvGXvi59/5itnDxasaBXrtQm1iK1UvYErp8p7v9hG9bzXPojY3DImUo/Mz8c5IWJ1S6VVcbp304/u427duu3u67Qv99r163b16jXnoDh85KhbWff5jt0uhslLryyz8ZOmWc9+Q1wKoKq1G7qVelqxd0fMZiHPLSI28yxlZz9ExCJikypiI/tWg+RZnTB5us2cM99eXrrCeVXXvbXBNr2/xUW+U6AALQM+depnFw1Yy1LCeCBi/RjosnNQza5rhV7E9l5pTVt1sOJV2thDpVrZf5ZoeV/8PFCypeUp3coqPdY9pCJ2lzXqOMAq121rD5duZSrv/WIb1fNe+yBis2vM4jrhnS9zSsQGua+TsFVGiEuXFC35vNsedujIUbdlTAGl5LlVKqBFryy3WS+86PbdKtvEPXluKwfPc4uIDS+raccRRCwiNkMi9oUFi+2ZydOtWJnKWc6zqjxkCrL0682bQcaxUH5GIlZ7cTt06Xkn8EAkAAG//wzEQDukph20NyhfsXJWt2VXK913uf3PkZfsv466leNLVv/LqNv2P0ZesSJ9Vluzx7tZybr97ZGqQ+zBKkPvi5+HqwyxR6sNtirNh4RTxA7ebY07DbGqjfu4cqq894ttVM977RNWEVvLBbfRzTRjaGrGUNr1brsqiNKYZ561HbuSE9gpu2/Y5NGVyHXpgH74yQ4cPBwjz23vQHlutf+2YvV6LhiVslg0a9PRbY1JK6D4O+eFLiIWEZshETvludn25OhxVq5K7SznWVUeslu3btnvSQqylN2Dpq6nQVMR97RXQ5MAP7RBdjGgdFIFS1Sweq1CKmL7rrHm7fpYmabjLX/D6fZo/Rn3xU/eBs9bgYbTrGqbsSEVsXuscedhVr3lCFdOlfd+sY3qGbFPtTv2CaeIrVy9tgtoqNzm2TWmcJ37d/6SaBs3cYrt3O2niNX92J/LkW+55chaihwtz+3+tHlu333POSFmzJl3T55bRUyuXqeRzX5hgU17fjYiNqRaCREbUsOE7QlPZE/ssldX2xtvrjdtuE9GntWcEJ7JvOa1a9ftw22f2Jz5L5ly0A74/9u7E2crqjsP4DU1U6mZmqr8BalKRqMEFxQBQZBNNkEQVEA2UVBQRETZRQRkwC1qdDQhjhpNcEmMu4mJmhiNS1xQRGPUGDVqzCTGLe4mlflNndbnI4rTl/B4r0/fj1W3wNeP9/re3+eevt9fd5+z2MNr0D4G5i1eFnMXnBiHHnNCJc/E7rXg+pg1d2kcv+aqWPi1O2LRufc0xWPhOXfFgrN/GjOXXlDJEPsfSzbElDkrYs6ytbHg7Nsj7W+z1CY9z0/Xp1ohdrvFD8WUoxfHMXOPj3mLToz5i5c5rjiubnMDC09YEddcd2OkK+TSyYW6/rf5dW4f+9Q6t187b21xu9vP7ryruEzZmdiOP+u6uVwkxAqxW3Qm9hf3PRBvvfVWsY5YGujSgNAyqVJHTKzU0QNteg2efe752PjY4/Hwho0eXoN2M3D/g2kWx9tj/oozKxli+y25KZatPCWuu/WRuPfxP8f63/ylKR4PPPVu3P3oa3HWhTdUMsR+eenGmLFgTVy47qZiPx946r2mqEuLv5b6nHnh9R/Vp1ohdoelG2Lm/JVx8bcuiXt/cX+sf2hDu40pjmFNfAx/5NF45pnn4pVXXi0+03X0Z6v2/P0tk0u1nsn9S7EsULr/Nk0geutPfuZMbEWzkhBb0cJsruPQkV9rORN73Y0/jF/c/2Dc9tEETI//6ol44YUXi9njXnn1tTZZJLs9B6+t/V3pkpW7770v0j0Ty1edGietOsXDa9AuBpatXBOLl62KaceeWMkQ23vhDTFn/spYcd6tcep3Ho/TL3+6OR6XPRWnXvpozP3PdZUMsdud8EhMPXZVLDl1XbGfp1/2VHPUpcXfZU9+oj7VCrHbLXkops5eEvMWLo4TV66Ok052THFc3fYGVqw+LW784Y+KCTXrfCZ2c5/5UlBN4f3Jp56ONPvx7XfcFdfd8INiwtH1Dz9SLPfjTKwzsQ2d8evIoOZ3fzbSlhD77cu+G5df+f1YtnJ1rFx9Wpxz/tr41rcvK+4Lvfq6G+Mnt98Z9z2wPh5+ZGNxY/2zz/32wxmGX3u9mCo9hb60LE7qfNXhv7Tszw0/+FEsOWlVsbZtep08vAbtYWDoyANjxAETYty0uZUMsT3nXRfTZi2JicdfGuMW3hhjF/2oOR4LfxjjF14fBx97XiVD7JcWb4iJs5bHlGPPifELb4ixC3/YHHVp8fep+lQrxH5p0YNx8Iz5MfbgyTFs1EExZKTxtD3G02b/HfvuPzbO/+ZFsfHRXxaf0erw+Sx9zkwTh6bbvtJntRRUf/fS7+Pp3zwbjz3+q1j/8Ia4974HijOt37/mhvjGBRfHmtPOihNOWlUs3ZMu5f/BzbcUJymE2M/OBx2ZnZyJdSa2oeZCGuBPXnNGXHTpujjznPMj3fS+8x57RZceexfrvPbsNzj6Dh4RI8YcHJMOnRFzjl8Uq089My66ZF3c/ONb48H1D8czz/42XnjxpWKK9HTZRh3+KyZ2+t7VcfhRaWKnbpGmqffwGrSHgU5desTuvQZUd3biYmKnY2PvsSfHbqPPiF1GndkUj133/2p0HX16DJ2yspIh9ouLHo5xM06IYROXFvuZ9rdZapOe56frU60Q+8WFD8TY6XMjTexUrHe5S3fHFMfVbW4gTRSYlqVJn9Xef//9Onw8K253+9Mrr8bzL7wYaZ3Ze+69P669/gdx/tqLPpzIafZxMXbSYTF05EHFRKXde+9TfKbdafdesVPXXjF4xAFxzfU3xbcv/67LiSualYTYihamIzsbm/vdH4fYS9bFGWf/V3Tba2Bs13n32G6nrpHWq9xx1+6RZrdLobZHn0HF7MXD9x9XDBDTZs6OY45fFItOXBHLTl4Tp5xxdtHxu3TdlXH1tTcWlyY/8OBDxSCTumTpsuTX33ijuBeh6iOpdWKr2Z3bnOG6fa3668ReFQdPmRm9hs+KzgNmx479muPRqf/s2Hng7Bg07vhqhtiFaYmdhTH4gKOK/Uz72yy1Sc/z0/WpYIidNjcGDhleHFfTMjB1G7s8n+odN6u8TuzmPge+99778frrb8TLf3olnn/+xfjl408UIfXmH98W3/3+tXHxpevi3K9fUJxMWbp8dTHx5lFz5sWUaUfGmPFTiivm+gzcN/bYa0Ds0q1PsWRkmp07LWmVfFontnpGNzduCLFCbEMHyM2F2M2B2tzXtt+pa3GWMp052qVb7+jWe2ARckcdODGmTp9VzL54+lnnxiXfubyY+Thdknzn3ffGho2PFWdvUxftpd//TzFYpXD79tvvFAH3gw8+nFiqIy9NFmLzGOg25zL3r1U/xH43xk86LPYcODY67Tk6tu+2f1M8dug+Ojr3HBP7jDmioiF2fRw0fV4M2m9isZ87dG+OurT4+7g+B8z4qD5CbO5jof3f+uNwVUJs+jz3l7/+tbik+b333isuA37ttdfjj398ubgU+LfPvxC/eea5ePiRR+OOn98Tt9x2e1x1zfWx9r+/FavWnFGcMEmX/g4bNba4YnD3nv1ip657RVqqqiWgNuJFiN16U428zlv7PUKsELvNQ2xC2rKoeBoYUrfrK132LC5H3q1H30iXcKTLkwcMGxXpPr+RB06IAydMjalHzIo5xy+Ok1aeEuect7a4uT5NKLXhkUeLGYFTsE33OHzQgdPBC7F5DHRbO1BW8d9XPsTOuTLGT5gc3fsMjh269I7tdu7ZFI/td+kVnXbvEwNHTapoiH0wDpp+XOwzbFR02q1PpP1tltqk5/np+gixVRzf7FP7HlurEmLTnCnpEuAXf/dS/PrpZ4o5VtJ9qd/69uWRTnYsXrYy0hnVyYfNjDHjphS3sA0aPib23mdE9Ow3pDiz2qX73sXlwOnEyQ47dyvC65Ze0SDEtq+/f/T9LsQKse0SYsuApkuT0xnbDy9N7lEMQLv37B+9+g+NwcPHxAHjD4lDZxwdxy04IZavOqW4pDldKnLBxZcWl47cdPMtH04qdf/64ob95377fPzhjy/HG2/8uejkbat7PITYPAa6Mn85bs8jxE6M7r37F1di5Pga/yP7nMaxdHvFwJEHVzfETjuuaS9Xba3PBGdiff5p6PPPPzIO5PZv2iPEplmA33zzrUhnVtNJiDTB0iMbHytWeLjltp/GDTfdHFd87+pYe+ElkdZpPfWMrxWTLB197IIitI48cGIMGDoqeuw9qLh1rfNuPYuTIltyhrXRugixeXy2E2IN4g0N4ltzOXGjg0Yj37e5S5P7DxkZo8dOjulHzomlK1bHeWsvjGuuvzHuvOueYqa9J578ddHVe+vtt+Odd96Jd999r5i4IJ3B3dp1boXYPAa6Rmzl9j1CbDXttYYkIbaK76nW+gixVayPfeqYcW1rQmy6BPhvf/tb8UiTdqbPVemMarpv9d13342333mnOJnwwou/i8efeDIe2rCxmBE4rXTx1bPPK24pS2dWR4weH30GDo+uPfvHzh9dArylZ1Dbyo8Q2zEOt7R+QqwQm1WILSaT6ty1uDwkzQbc6aPLktN9Dz37Do4UaNNU8QccfEhMOvSImDbzmDjymONj3uJlsXL16XH2uV8vpktP693+/O57i7O26Z7bdL/FP7LOrRCbx0C3pQNjDt8vxFbTXmtIEmKr+D5qrY8QW8X62KeOGde2JsQW66y++lqxnOIzzz4XD2/YGD+5/Y646urr4psXXlJcBpwm9Zy74ISYcfRxcegRR8f4ydMjzYuSZgDee5/h0b3PPpFuL0szA6f7V9P+bIszrI36EmI7xmGj9Wn5PiFWiM0qxLbALfszfVBJg2C6JyItBbRHrwHRe+C+se/+42LCIYfH0XMXxEknr4mvnfeNItRe8b1r4sN1bu+I++5fXwzCv3riqShb51aIzWOgK/OS43Yhtpr2WkOSEFvF91VrfYTYKtbHPnXMuJZOCqR7Th/95eMfrxP7d+usvvlWca/qZ66zeu0NcdmVV8UFF10ap595bixaujKOmDU3DpowNQaPGFPcr7r7nv0+DqkdGVAbMSbEdozDRmqz6fcIsUJsLUPspsj/blKpnbsVXb5iYqmum6xz27dlndvxMXHqjDjmuMbWuRVi8xjoNvVQl78LsdW01xqShNgqvtda6yPEVrE+9qljxrU04WY6a/rC714qLgdOy9qky4I/Xmf1qaeLe1evvf6mOH/thbFs5eqYefTcGDuxdZ3VdK9qCqrpxEFa4zhdKbfjR+scp1DY8lkshxoLsR3jcEttCLFCbO1D7Ge9KbZqndu1F0Za5zbNmDfj6LnRd9CIhl7Hz9oXX89jwKxSnYTYapppDUlCbJXeLy370lofIbblNfFnNceS9qxLCm3jJ08rbru6dN0Vm19n9ZhN11k9IP6/dVbbc9+3xe8SYvN4TwixQmxD4asqEztti8Gq7GemDz0f3n/bus5tCq1pKaB0qcxue/Zt6DUs+z225zFoVqVOQmw1vbSGJCG2Ku+VTfejtT5C7Kavi79Xczxp77qkzzOjx02KYaMO2qp1Vtt7v9v69wmxebwfhFghtqEA1swhNg2OLZfBpIEtXXbTMqHULt36FPfetvUA6uflMYB2ZJ2E2GoaaQ1JQmxHvj8+63e31keI/azXyNerOba0R13SXCK77NF7q9dZbY993Za/Q4jN4z0gxAqxQiwDDRnYlgcMP3vLDxhC7Ja/Zu3hrDUkCbHt8Xpv6e9orY8Qu6Wvne+v5pijLm1fFyG27V/TbeFUiBVgGgowzX4mdlu8+fzMPAbJqtbp70Ps5fFvJ70R/7L8g/inFf/boY9/Xv7X+NeT3ozuc66I8RMmRvfe/YvL8av6Orb1frWGpBRiT4svLHksPrf83Q6tSYuJzy1/J7648IEYO21uDBwyInbctXtxlUlbvwZV/nl/X5/T4wtLflmp+nzp4/oMb8r6VNmOfWueY7YQm0ethVghVohloCEDDuDVGtRTiO3So2+MmjQz+s79Tnx+2R+KIJuCSkc+UoD9/LKXo+ecdTF+wqSmDrGjZ58SX1r8UPz7slc7tCYtHtJ+bL/g7hg3fW7sM1SIHT371MrWZ+AQIdYxp1rHnGaqhxCbhz0hVoBpKMA4E5vHG7qZDjLN/lxbQuyYidNj+OyzovO8W2OH+XfE9vPv6tDHDvPvjK/Muy2GzDorJkyaHD16D2jKM7GD9jsoxh+1NHrM/V50mnd7h9akxUTaj9RcmDR9dgwatl9TnulrORM7aL+xMf6oEytbn2ZtMjT7uO75V+OzlhBbjTqUvR+EWCFWiGWgIQNlg4nt7TvopxC7W48+MfbgiXHo4TNjwmFHxoTDjqrI48iYOn1mTDlkauzZpzlD7NAR+8f0I2bE5GlVqstRMXnazJh++BExZN+RTR1iq16fwfs2Z5PBcaR9jyNe782/3kLs5l+XqnkRYgWYhgKMM7F5vKGrNsDYn23nJs2Y3alLj+jdf3AMGDI8+g8aVqnHgMH7Rr99hsbOXXtFOvvVLBZSXdIHoG69+kW6JLT/4H0rVZe0P2m/9ujVr9jPtF52s9QmPc+P67NX1evTtynr00wWPdfqjj1CbHVrs+n7RogVYhv6ACPE5vGG3vTN7e/1r1kKIGkN4zRBTxUfad9SaGhGi+lDUBVr0rJPaf+asS4tz1l96j8+ttTan2q9pQaE2DzMCLFCbEMfZITYPN7QWzpQ+/7865pCYpUfzWosNRgqXZcmOwP7SYfqk//Y98ma+n81bSsDQmweloRYIVaIZaAhA211cPBz8jg4qJM6McAAAww0owEhNg/3QqwA01CAcSY2jzd0Mx5sPGc2GWCAAQYYYKCtDAixeVgSYoVYIZaBhgy01cHBz8nj4KBO6sQAAwww0IwGhNg83AuxAkxDAcaZ2Dze0M14sPGc2WSAAQYYYICBtjIgxOZhSYgVYoVYBhoy0FYHBz8nj4ODOqkTAwwwwEAzGhBi83AvxAowDQUYZ2LzeEM348HGc2aTAQYYYIABBtrKgBCbhyUhVogVYhloyEBbHRz8nDwODuqkTgwwwAADzWhAiM3DvRArwDQUYJyJzeMN3YwHG8+ZTQYYYIABBhhoKwNCbB6WhFghVohloCEDbXVw8HPyODiokzoxwAADDDSjASE2D/dCrADTUIBxJjaPN3QzHmw8ZzYZYIABBhhgoK0MCLF5WBJihVghloGGDLTVwcHPyePgoE7qxAADDDDQjAaE2DzcC7ECTEMBpveAYXH4UcfGoqUrYtax82PX7ns39O+acfDznPMY/NRJnRhggAEGGGDgkwa269w19uw7OE5ec3osXb4qho48KLr08Ln3k69TR/+/ECvENhRGU1eqU5c9o/NuPYs/0xu8o/H6/Q48DDDAAAMMMMAAA21tYPudukbn3XsVjy/v3C187q2eMSFWiBVGGWCAAQYYYIABBhhggIFsDAixsGaDta27bH5e9bpqaqImDDDAAAMMMMAAA2UGhFghVohlgAEGGGCAAQYYYIABBrIxIMTCmg3Wso6M7bp2DDDAAAMMMMAAAwzU34AQK8QKsQwwwAADDDDAAAMMMMBANgaEWFizwaqrVv+umhqrMQMMMMAAAwwwwECZASFWiBViGWCAAQYYYIABBhhggIFsDNC5ZbMAAAm6SURBVAixsGaDtawjY7uuHQMMMMAAAwwwwAAD9TcgxAqxQiwDDDDAAAMMMMAAAwwwkI0BIRbWbLDqqtW/q6bGaswAAwwwwAADDDBQZkCIFWKFWAYYYIABBhhggAEGGGAgGwNCLKzZYC3ryNiua8cAAwwwwAADDDDAQP0NCLFCrBDLAAMMMMAAAwwwwAADDGRjQIiFNRusumr176qpsRozwAADDDDAAAMMlBkQYoVYIZYBBhhggAEGGGCAAQYYyMaAEAtrNljLOjK269oxwAADDDDAAAMMMFB/A0KsECvEMsAAAwwwwAADDDDAAAPZGBBiYc0Gq65a/btqaqzGDDDAAAMMMMAAA2UGhFghVohlgAEGGGCAAQYYYIABBrIxIMTCmg3Wso6M7bp2DDDAAAMMMMAAAwzU34AQK8QKsQwwwAADDDDAAAMMMMBANgaEWFizwaqrVv+umhqrMQMMMMAAAwwwwECZASFWiBViGWCAAQYYYIABBhhggIFsDAixsGaDtawjY7uuHQMMMMAAAwwwwAAD9TcgxAqxQiwDDDDAAAMMMMAAAwwwkI0BIRbWbLDqqtW/q6bGaswAAwwwwAADDDBQZkCIFWKFWAYYYIABBhhggAEGGGAgGwNCLKzZYC3ryNiua8cAAwwwwAADDDDAQP0NCLFCrBDLAAMMMMAAAwwwwAADDGRjQIiFNRusumr176qpsRozwAADDDDAAAMMlBkQYoVYIZYBBhhggAEGGGCAAQYYyMaAEAtrNljLOjK269oxwAADDDDAAAMMMFB/A0KsECvEMsAAAwwwwAADDDDAAAPZGBBiYc0Gq65a/btqaqzGDDDAAAMMMMAAA2UGhFghVohlgAEGGGCAAQYYYIABBrIxIMTCmg3Wso6M7bp2DDDAAAMMMMAAAwzU34AQK8QKsQwwwAADDDDAAAMMMMBANgaEWFizwaqrVv+umhqrMQMMMMAAAwwwwECZASFWiBViGWCAAQYYYIABBhhggIFsDAixsGaDtawjY7uuHQMMMMAAAwwwwAAD9TcgxAqxQiwDDDDAAAMMMMAAAwwwkI0BIRbWbLDqqtW/q6bGaswAAwwwwAADDDBQZkCIFWKFWAYYYIABBhhggAEGGGAgGwNCLKzZYC3ryNiua8cAAwwwwAADDDDAQP0NCLFCrBDLAAMMMMAAAwwwwAADDGRjQIiFNRusumr176qpsRozwAADDDDAAAMMlBkQYoVYIZYBBhhggAEGGGCAAQYYyMaAEAtrNljLOjK269oxwAADDDDAAAMMMFB/A0KsECvEMsAAAwwwwAADDDDAAAPZGBBiYc0Gq65a/btqaqzGDDDAAAMMMMAAA2UGhFghVohlgAEGGGCAAQYYYIABBrIxIMTCmg3Wso6M7bp2DDDAAAMMMMAAAwzU34AQK8QKsQwwwAADDDDAAAMMMMBANgaEWFizwaqrVv+umhqrMQMMMMAAAwwwwECZASFWiBViGWCAAQYYYIABBhhggIFsDAixsGaDtawjY7uuHQMMMMAAAwwwwAAD9TcgxAqxQiwDDDDAAAMMMMAAAwwwkI0BIRbWbLDqqtW/q6bGaswAAwwwwAADDDBQZkCIFWKFWAYYYIABBhhggAEGGGAgGwNCLKzZYC3ryNiua8cAAwwwwAADDDDAQP0NCLFCrBDLAAMMMMAAAwwwwAADDGRjQIiFNRusumr176qpsRozwAADDDDAAAMMlBkQYoVYIZYBBhhggAEGGGCAAQYYyMaAEAtrNljLOjK269oxwAADDDDAAAMMMFB/A0KsECvEMsAAAwwwwAADDDDAAAPZGBBiYc0Gq65a/btqaqzGDDDAAAMMMMAAA2UGhFghVohlgAEGGGCAAQYYYIABBrIxIMTCmg3Wso6M7bp2DDDAAAMMMMAAAwzU34AQK8QKsQwwwAADDDDAAAMMMMBANgaEWFizwaqrVv+umhqrMQMMMMAAAwwwwECZASFWiBViGWCAAQYYYIABBhhggIFsDAixsGaDtawjY7uuHQMMMMAAAwwwwAAD9TcgxAqxQiwDDDDAAAMMMMAAAwwwkI0BIRbWbLDqqtW/q6bGaswAAwwwwAADDDBQZkCIFWKFWAYYYIABBhhggAEGGGAgGwNCLKzZYC3ryNiua8cAAwwwwAADDDDAQP0NCLFCrBDLAAMMMMAAAwwwwAADDGRjQIiFNRusumr176qpsRozwAADDDDAAAMMlBkQYoVYIZYBBhhggAEGGGCAAQYYyMaAEAtrNljLOjK269oxwAADDDDAAAMMMFB/A0KsECvEMsAAAwwwwAADDDDAAAPZGBBiYc0Gq65a/btqaqzGDDDAAAMMMMAAA2UGhFghVohlgAEGGGCAAQYYYIABBrIxIMTCmg3Wso6M7bp2DDDAAAMMMMAAAwzU34AQK8QKsQwwwAADDDDAAAMMMMBANgaEWFizwaqrVv+umhqrMQMMMMAAAwwwwECZASFWiBViGWCAAQYYYIABBhhggIFsDAixsGaDtawjY7uuHQMMMMAAAwwwwAAD9TcgxAqxQiwDDDDAAAMMMMAAAwwwkI0BIRbWbLDqqtW/q6bGaswAAwwwwAADDDBQZkCIFWKFWAYYYIABBhhggAEGGGAgGwNCLKzZYC3ryNiua8cAAwwwwAADDDDAQP0NCLFCrBDLAAMMMMAAAwwwwAADDGRjQIiFNRusumr176qpsRozwAADDDDAAAMMlBkQYoVYIZYBBhhggAEGGGCAAQYYyMaAEAtrNljLOjK269oxwAADDDDAAAMMMFB/A0KsECvEMsAAAwwwwAADDDDAAAPZGBBiYc0Gq65a/btqaqzGDDDAAAMMMMAAA2UGhFghVohlgAEGGGCAAQYYYIABBrIxIMTCmg3Wso6M7bp2DDDAAAMMMMAAAwzU34AQK8QKsQwwwAADDDDAAAMMMMBANgaEWFizwaqrVv+umhqrMQMMMMAAAwwwwECZASFWiBViGWCAAQYYYIABBhhggIFsDAixsGaDtawjY7uuHQMMMMAAAwwwwAAD9TcgxAqxQiwDDDDAAAMMMMAAAwwwkI0BIRbWbLDqqtW/q6bGaswAAwwwwAADDDBQZkCIFWKFWAYYYIABBhhggAEGGGAgGwNCLKzZYC3ryNiua8cAAwwwwAADDDDAQP0NCLFCrBDLAAMMMMAAAwwwwAADDGRjQIiFNRusumr176qpsRozwAADDDDAAAMMlBkQYoVYIZYBBhhggAEGGGCAAQYYyMaAEAtrNljLOjK269oxwAADDDDAAAMMMFB/A0KsECvEMsAAAwwwwAADDDDAAAPZGPg/KqWuRr4HrxEAAAAASUVORK5CYII=(defun c:bzl(/ ss ssh ssv i ent rate
pt dim n dimstyle ssdimstyle
ssdimstyle hz0 hzqj hz hb pt2x
pt1x pt1y pt2y pt1 pt2
)
(setvar "cmdecho" 0)
(princ "\n选择标注集合")
(setq ss (ssget '((0 . "DIMENSION"))))
(setq ssh (ssadd))
(setq ssv (ssadd))
(setq i 0)
(repeat (sslength ss)
(setq ent (ssname ss i))
(if(= 0 (cdr (assoc 50 (entget ent))));cdr对点对列表操作掐头，cadr有问题
(setq ssh (ssadd ent ssh))
(setq ssv (ssadd ent ssv))
)
(setq i (1+ i))
(princ (sslength ssh))
(princ "\n")
(princ (sslength ssv))
(prin1)
);end repeat;选择集分开为横竖
(setq i 0)
(setq rate 0.2);0.2为和有问题？
(repeat (sslength ssh)
(setq ent (ssname ssh i))
(setq pt (cdr (assoc 10 (entget ent))))
(setq dim (cdr (assoc 42 (entget ent))))
(setq n (1+ (fix (/ (log dim) (log 10)))))
(setq dimstyle (cdr (assoc 3 (entget ent))))
(setq ssdimstyle (tblobjname "DIMSTYLE" dimstyle))
;标注样式名反选标注样式
(setq hz0 (cdr (assoc 140 (entget ssdimstyle)))) ;标注样式文字高度
(setq hzqj (cdr (assoc 40 (entget ssdimstyle))))
;全局比例为1返回空值
(if(= nil hzqj)
(setq hzqj 1)
)
(setq hz (* hzqj hz0))
(setq hb (* hz n))
(setq pt2x (- (car pt) (abs (* 0.5 (- hb dim)))))
(setq pt1x (- pt2x hb))
(setq gaodu (* hz rate))
(setq pt1y (- (cadr pt) (* hz rate)))
(setq pt2y pt1y)
(setq pt1 (list pt1x pt1y (caddr pt) ))
(setq pt2 (list pt2x pt2y (caddr pt) ))
;(command "circle" pt1 6)
(command "line" pt1 pt2 "")
(setq i (1+ i))
);end repeat
(prin1)
)
本帖最后由 飞雪神光 于 2024-1-5 20:44 编辑
(defun c:ddr (/ bili crpt en get-dxf huajuxing l lm-entmake-layer lm-entmake-pline lm-getmtextbox1 obj pts ss ss-enlst tc tylx zg)
(defun get-dxf(en n)
(if (not (listp en)) (setq en (entget en)))
(cdr (assoc n en))
)
(defun ss-enlst (ss / enlst)
(cond
((= (type ss) 'PICKSET)
(vl-remove-if-not '(lambda (x) (= (type x) 'ENAME)) (mapcar 'cadr (ssnamex SS)))
)
((= (type ss) 'LIST)
(setq enlst (ssadd))
(last (mapcar '(lambda (x) (ssadd x enlst)) ss))
)
)
)
(defun lm-getmtextbox1 (obj offh offs / MXV B ENX H J L M N O P R W)
(Defun mxv (m v)
(mapcar '(lambda (r) (apply '+ (mapcar '* r v))) m)
)
(setq enx (entget obj))
(if (null off)
(setq off 0.0)
)
(if
(setq l
(cond
((= "TEXT" (cdr (assoc 0 enx)))
(setq b (cdr (assoc 10 enx))
r (cdr (assoc 50 enx))
l (textbox enx)
)
(list
(list (- (caar l) offh) (- (cadar l) offs))
(list (+ (caadr l) offh) (- (cadar l) offs))
(list (+ (caadr l) offh) (+ (cadadr l) offs))
(list (- (caar l) offh) (+ (cadadr l) offs))
)
)
((= "MTEXT" (cdr (assoc 0 enx)))
(setq n (cdr (assoc 210 enx))
b (trans (cdr (assoc 10 enx)) 0 n)
r (angle '(0.0 0.0 0.0) (trans (cdr (assoc 11 enx)) 0 n))
w (cdr (assoc 42 enx))
h (cdr (assoc 43 enx))
j (cdr (assoc 71 enx))
o (list
(cond
((member j '(2 5 8)) (/ w -2.0))
((member j '(3 6 9)) (- w))
(0.0)
)
(cond
((member j '(1 2 3)) (- h))
((member j '(4 5 6)) (/ h -2.0))
(0.0)
)
)
)
(list
(list (- (car o) offh) (- (cadr o) offs))
(list (+ (car o) w offh) (- (cadr o) offs))
(list (+ (car o) w offh) (+ (cadr o) h offs))
(list (- (car o) offh) (+ (cadr o) h offs))
)
)
)
)
((lambda (m)
(mapcar '(lambda (p) (mapcar '+ (mxv m p) b)) l)
)
(list
(list (cos r) (sin (- r)) 0.0)
(list (sin r) (cos r) 0.0)
'(0.0 0.0 1.0)
)
)
)
)
(defun lm-entmake-pline (pldata / a s1 ptlst bihe co tc h)
(mapcar'set '(ptlst bihe co tc) pldata)
(or co (setq co 256))
(or tc (setq tc (getvar "clayer")))
(entmake (append (list
'(0 . "LWPOLYLINE")
'(100 . "AcDbEntity")
'(100 . "AcDbPolyline")
(cons 62 co)
(cons 8 tc)
(cons 90 (length ptlst))
(cons 70 (if bihe 1 0))
(cons 38 (if (setq h(nth 2 (car ptlst))) h 0))
)
(mapcar '(lambda (a) (cons 10 a)) ptlst))
)
(entlast)
)
(defun lm-entmake-layer(datalst)
(mapcar'set '(tc co) datalst)
(or co (setq co 256))
(or tc (setq tc (getvar "clayer")))
(entmake (list '(0 . "LAYER")'(100 . "AcDbSymbolTableRecord")'(100 . "AcDbLayerTableRecord")(cons 2 tc)(cons 62 co)'(70 . 0)'(6 . "CONTINUOUS")))
)
(princ "\n选择标注集合")
(setvar "cmdecho" 0)
(if(null(tblsearch "layer" "DGWT-REV"))
(lm-entmake-layer (list "DGWT-REV" 4))
)
(setq ss (ssget '((0 . "DIMENSION"))))
(foreach bzty (ss-enlst ss)
(setq obj (vlax-ename->vla-object bzty))
(setq en (get-dxf (tblsearch "block" (get-dxf bzty 2)) -2));获得标注的匿名图元块的文字图元名
(while (setq en(entnext en));一直循环找到该匿名块中成员是文字为止
(setq tylx (get-dxf en 0))
(if (wcmatch tylx "*TEXT")
(progn
(setq zg(get-dxf en 40))
(setq pts (lm-getmtextbox1 en (* zg 0.7)(* zg 0.7)))
(lm-entmake-pline (list pts t nil nil))
(setq L (*0.3 zg))
(setq huajuxing (entlast))
(command "revcloud" "S" "N" "a" L L "o" huajuxing "")
(vla-put-Layer (vlax-ename->vla-object (entlast)) "DGWT-REV")
)
)
)
)
(princ)
) (defun c:bzl (/ bili crpt en get-dxf lm-getmtextbox1 obj pts ss ss-enlst tc tylx zg)
(defun get-dxf(en n)
(if (not (listp en)) (setq en (entget en)))
(cdr (assoc n en))
)
(defun ss-enlst (ss / enlst)
(cond
((= (type ss) 'PICKSET)
(vl-remove-if-not '(lambda (x) (= (type x) 'ENAME)) (mapcar 'cadr (ssnamex SS)))
)
((= (type ss) 'LIST)
(setq enlst (ssadd))
(last (mapcar '(lambda (x) (ssadd x enlst)) ss))
)
)
)
(defun lm-getmtextbox1 (obj offh offs / MXV B ENX H J L M N O P R W)
(Defun mxv (m v)
(mapcar '(lambda (r) (apply '+ (mapcar '* r v))) m)
)
(setq enx (entget obj))
(if (null off)
(setq off 0.0)
)
(if
(setq l
(cond
((= "TEXT" (cdr (assoc 0 enx)))
(setq b (cdr (assoc 10 enx))
r (cdr (assoc 50 enx))
l (textbox enx)
)
(list
(list (- (caar l) offh) (- (cadar l) offs))
(list (+ (caadr l) offh) (- (cadar l) offs))
(list (+ (caadr l) offh) (+ (cadadr l) offs))
(list (- (caar l) offh) (+ (cadadr l) offs))
)
)
((= "MTEXT" (cdr (assoc 0 enx)))
(setq n (cdr (assoc 210 enx))
b (trans (cdr (assoc 10 enx)) 0 n)
r (angle '(0.0 0.0 0.0) (trans (cdr (assoc 11 enx)) 0 n))
w (cdr (assoc 42 enx))
h (cdr (assoc 43 enx))
j (cdr (assoc 71 enx))
o (list
(cond
((member j '(2 5 8)) (/ w -2.0))
((member j '(3 6 9)) (- w))
(0.0)
)
(cond
((member j '(1 2 3)) (- h))
((member j '(4 5 6)) (/ h -2.0))
(0.0)
)
)
)
(list
(list (- (car o) offh) (- (cadr o) offs))
(list (+ (car o) w offh) (- (cadr o) offs))
(list (+ (car o) w offh) (+ (cadr o) h offs))
(list (- (car o) offh) (+ (cadr o) h offs))
)
)
)
)
((lambda (m)
(mapcar '(lambda (p) (mapcar '+ (mxv m p) b)) l)
)
(list
(list (cos r) (sin (- r)) 0.0)
(list (sin r) (cos r) 0.0)
'(0.0 0.0 1.0)
)
)
)
)
(princ "\n选择标注集合")
(setq ss (ssget '((0 . "DIMENSION"))))
(foreach bzty (ss-enlst ss)
(setq obj (vlax-ename->vla-object bzty))
(setq en (get-dxf (tblsearch "block" (get-dxf bzty 2)) -2));获得标注的图元名
(setq crpt(get-dxf bzty 11))
(setq tc(get-dxf bzty 8))
(setq bili(vla-get-ScaleFactor obj))
;(if(= (vla-get-ObjectName obj) "AcDbRotatedDimension")
(while (setq en(entnext en))
(setq tylx (get-dxf en 0))
(if (wcmatch tylx "*TEXT")
(progn
(setq zg(get-dxf en 40))
(setq pts (lm-getmtextbox1 en 0 (* zg 0.15)))
(entmake (list '(0 . "line")(cons 62 1)(cons 8 "0")(cons 10 (car pts))(cons 11 (cadr pts))))
)
)
)
;)
)
(princ)
) 飞雪前辈，请问这个标注外框的函数，返回的是？现在想要再标注文字周边划方框，帮忙指导一下
(defun c:ddr (/ bili crpt en get-dxf lm-getmtextbox1 obj pts ss ss-enlst tc tylx zghuajuxingL)
(defun get-dxf(en n)
(if (not (listp en)) (setq en (entget en)))
(cdr (assoc n en))
)
(defun ss-enlst (ss / enlst)
(cond
((= (type ss) 'PICKSET)
(vl-remove-if-not '(lambda (x) (= (type x) 'ENAME)) (mapcar 'cadr (ssnamex SS)))
)
((= (type ss) 'LIST)
(setq enlst (ssadd))
(last (mapcar '(lambda (x) (ssadd x enlst)) ss))
)
)
)
(defun lm-getmtextbox1 (obj offh offs / MXV B ENX H J L M N O P R W)
(Defun mxv (m v)
(mapcar '(lambda (r) (apply '+ (mapcar '* r v))) m)
)
(setq enx (entget obj))
(if (null off)
(setq off 0.0)
)
(if
(setq l
(cond
((= "TEXT" (cdr (assoc 0 enx)))
(setq b (cdr (assoc 10 enx))
r (cdr (assoc 50 enx))
l (textbox enx)
)
(list
(list (- (caar l) offh) (- (cadar l) offs))
(list (+ (caadr l) offh) (- (cadar l) offs))
(list (+ (caadr l) offh) (+ (cadadr l) offs))
(list (- (caar l) offh) (+ (cadadr l) offs))
)
)
((= "MTEXT" (cdr (assoc 0 enx)))
(setq n (cdr (assoc 210 enx))
b (trans (cdr (assoc 10 enx)) 0 n)
r (angle '(0.0 0.0 0.0) (trans (cdr (assoc 11 enx)) 0 n))
w (cdr (assoc 42 enx))
h (cdr (assoc 43 enx))
j (cdr (assoc 71 enx))
o (list
(cond
((member j '(2 5 8)) (/ w -2.0))
((member j '(3 6 9)) (- w))
(0.0)
)
(cond
((member j '(1 2 3)) (- h))
((member j '(4 5 6)) (/ h -2.0))
(0.0)
)
)
)
(list
(list (- (car o) offh) (- (cadr o) offs))
(list (+ (car o) w offh) (- (cadr o) offs))
(list (+ (car o) w offh) (+ (cadr o) h offs))
(list (- (car o) offh) (+ (cadr o) h offs))
)
)
)
)
((lambda (m)
(mapcar '(lambda (p) (mapcar '+ (mxv m p) b)) l)
)
(list
(list (cos r) (sin (- r)) 0.0)
(list (sin r) (cos r) 0.0)
'(0.0 0.0 1.0)
)
)
)
)
(princ "\n选择标注集合")
(setq ss (ssget '((0 . "DIMENSION"))))
(setq oldlayer (getvar "clayer"))
(command "layer" "m" "DGWT-REV" "c" "4" "" "" "")
;(setq bzty (nth 0 (ss-enlst ss)))
(foreach bzty (ss-enlst ss)
(setq obj (vlax-ename->vla-object bzty))
(setq en (get-dxf (tblsearch "block" (get-dxf bzty 2)) -2));获得标注的匿名图元块的文字图元名
(setq crpt(get-dxf bzty 11));标注文字的中点（在 OCS 中）
(setq tc(get-dxf bzty 8))
(setq bili(vla-get-ScaleFactor obj))
;(if(= (vla-get-ObjectName obj) "AcDbRotatedDimension")
(while (setq en(entnext en));一直循环找到该匿名块中成员是文字为止
(setq tylx (get-dxf en 0))
(if (wcmatch tylx "*TEXT")
(progn
(setq zg(get-dxf en 40))
(setq pts (lm-getmtextbox1 en (* zg 0.5)(* zg 0.5)))
;(entmake (list '(0 . "line")(cons 62 240)(cons 10 (car pts))(cons 11 (cadr pts))))
(command "pline" (nth 0 pts) (nth 1 pts) (nth 2 pts) (nth 3 pts)"c" "" """" )
(setq huajuxing (entlast) )
(setq L (*0.3 zg))
(command "offset" (* 0.2 zg) (entlast) (polar (car pts) (* (/ 270.0 180.0 ) 3.1415) (* 0.2 zg) ) "")
;;;偏移方向根据生成矩形的角点,pt1,pt2定，本程序pt2为右上角点，pt1为左下角点，所以为pt2外围方向
(command "revcloud""S" "N" "a" L L "o" (entlast) "")
(COMMAND "CHANGE"(entlast)"" "PROPERTIES" "la" "DGWT-REV" "")
(command "_erase"huajuxing "" )
)
)
)
)
(princ)
)
是在下边呢 我的是这样的效果，不知为何y方向未有赋值还是？
能否指出我的错误？看了好久不知哪里错了
飞雪神光 发表于 2024-1-5 20:24
飞雪前辈，这里看着比较蒙，能否指点一下返回值是什么？
(set 'co 1) = (setq co 1)注意set的变量是有个 ' 的
单行多行返回值是一样的 标注中的文字就是多行的 飞雪神光 发表于 2024-1-5 22:38
(set 'co 1) = (setq co 1)注意set的变量是有个 ' 的
单行多行返回值是一样的 标注中的文字就是多行的
是的，我i昂知道是返回四个点的坐标吗？为何多行还要再次处理？ 并没有再次处理 就是求得多行文字的包围框
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