20240904 13252800 1.0 TRUE CreateFeatureclass C:\Projects\EMA_Weather_Stations\WeatherStations.gdb EMA_Weather_Stations2 Point # No Yes "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" # # # # EMA_Weather_Stations UpdateSchema C:\Projects\EMA_Weather_Stations\WeatherStations.gdb\EMA_Weather_Stations2 <operationSequence><workflow><AddField><field_name>stationid</field_name><field_type>Long</field_type><field_alias>stationid</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>publicname</field_name><field_type>TEXT</field_type><field_alias>publicname</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>255</field_length></AddField></workflow><workflow><AddField><field_name>currtemp</field_name><field_type>Short</field_type><field_alias>currtemp</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>currconds</field_name><field_type>TEXT</field_type><field_alias>currconds</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>255</field_length></AddField></workflow><workflow><AddField><field_name>feelslike</field_name><field_type>Short</field_type><field_alias>feelslike</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>humidity</field_name><field_type>Short</field_type><field_alias>humidity</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>uv</field_name><field_type>Short</field_type><field_alias>uv</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>time</field_name><field_type>TEXT</field_type><field_alias>time</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>255</field_length></AddField></workflow><workflow><AddField><field_name>lat</field_name><field_type>DOUBLE</field_type><field_alias>lat</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>long</field_name><field_type>DOUBLE</field_type><field_alias>long</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>icon</field_name><field_type>TEXT</field_type><field_alias>icon</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>255</field_length><field_domain>weather_icon</field_domain></AddField></workflow></operationSequence> UpdateSchema C:\Projects\EMA_Weather_Stations\WeatherStations.gdb\EMA_Weather_Stations2 <operationSequence><workflow><AlterField><field_name>OBJECTID</field_name><field_alias>OBJECTID</field_alias></AlterField></workflow><workflow><AlterField><field_name>SHAPE</field_name><field_alias>SHAPE</field_alias></AlterField></workflow></operationSequence> Rename C:\Projects\EMA_Weather_Stations\WeatherStations.gdb\EMA_Weather_Stations2 C:\Projects\EMA_Weather_Stations\WeatherStations.gdb\EMA_Weather_Stations FeatureClass TruncateTable C:\Projects\EMA_Weather_Stations\WeatherStations.gdb\EMA_Weather_Stations Append C:\Projects\EMA_Weather_Stations\WeatherStations.gdb\Template_Stations C:\Projects\EMA_Weather_Stations\WeatherStations.gdb\EMA_Weather_Stations "Input fields must match target fields" # # # # NOT_UPDATE_GEOMETRY TruncateTable C:\Projects\EMA_Weather_Stations\WeatherStations.gdb\EMA_Weather_Stations Append C:\Projects\EMA_Weather_Stations\WeatherStations.gdb\Template_Stations C:\Projects\EMA_Weather_Stations\WeatherStations.gdb\EMA_Weather_Stations "Input fields must match target fields" # # # # NOT_UPDATE_GEOMETRY BelcoGIS BelcoEMA EMA GIS Weather Belmont County EMA's Weather Stations EMA_Weather_Stations /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2V4o2 YncRuwMZ/wA9aXBKjEp68c/pUSxkNksFOeB1qYGONRgZbJ/PvUzio7MiMm90DNiNvMjJGecE8ipA qtKrhjhV4UE5pOXONvHfNKECZOcscAGpRYx5URkDPICecZPTmk+YPkO2AMgkmo5YFYAnLFTjnkVO xVRs55wCRTArzzvHEJQgckgYHFUbXUpZbhQbSWMkkbn6dM/rz+VbQZUAOOM4AFNXJKs2OB82apOK VmtTOUZOSalZFC41VraUj7LIUXA3LyTkA9PxqI60C4VrObBJwQKsXc6xyrEgIJUMvp17/lSQ36+e sMhxI549DWX1qiqnsmveLeHrOPOpaeg1dW8yESR28jcsMNweKvQyyPFl4ijdcBgeKcEA6f4U4cAA 9a1k4vZExjJfE7kavtf7p2lsH/P1p7MM87sKeeKUqCPT1qPcVcI3IPQ1JZIcMOhGeelNSYE7TnJ7 4p2SWyPwpJIwx4OGFABG457fWjzVzgsORmhGy3zdfWhgN4zzQAiuu37wxng0yQJk4bb61NwWHtSM QzFD+FAEQYfdOPr605DhAzdu3rTWjAY4AI7g0kYDMy7QQOQD2oGSlgJl54JpqqsqOrgFASD70kyj y+AAfXFKgVlD4AXGcAUCGRW0cTMYcx55wuP609cqwBbII4NMmUL/ADyD0qjqX2hIIfIUl2yeCeOK cU5OwpSUVdmpnGQeQe9OPTaewrI064uJv3M9q8bKv3ieppZtQuYs4s5XKtj5fTOP5VfspXsZ+2hy 836M0jlOD06Z9KdncXHHNZR1WYBcWVwRg56dKcbm4WVDFA21guQx7nr+VHspB7aD2/JmiGzF9DzQ 67wrKcMRwfeoFeQFsjqAcAZGaY0kg3pGdwIJU46GszUnWTz4+u2RDjFQSyRyKoZTvHy/L2NNceYV KD95uwxHpnvU/kxoFwMKvXFIZFbrhP3iqpGRkDtT3ljEg3j7vQ9hUMv72cRIdqnkkHpTZGZAVmj4 PGSeKQEU9wZGMSkeWeSw7/WrH2pIQI4gu1eKpLHIImcMrBmyCB/L8qmSBivBOBwOKywrqOUnVVo9 Cq3KklT3LLwNw+fmfkn04pqS7D8wyT3qaUndzyDxxUUZjV2VxnnrXbCXPdM5Zx5bNMsRvvdTnOAS cUxcyAhf72QfSlEKblaM45/OlG4fLtxt5OOhrGVr6Gsb21FHDEZ70ijc5I4AGM0nJBZeCRgZ9aHB +WFeFzhjUlDFJiI/iGfzNTgeYwXPTk+9R5PXog7+tKoDuSrbSOh/nTQCzQJLkYGOOfpTEt0hIO0H DZBx0qdQQ3GMHoKd8uan2cebmtqVzyty30EAJUg9eopAc4B69QaOUJB6diKFHzjuoyf/AK1WSGCD 7CkYHbgrk9qeflkPH3h+tMLbRj8VNACbgNpORj1qQYJc+1MlbbHnbnjoaq2kskgbcNnPC/5NAFh/ 3bBv4ehqSZSR8vUc01w5jJGHGO3Wk8wEK65IxyKAFRxISR1OAQe1DE+cnYetMIyyvH17+4p0xVsg HBGCMc4NABuDllI5HP4UzISRGByH4pFDNPvII3oOPQ9xSiMlfKY5wM9OlAyR8PGR2UdabaksgB6L kVGkxHysMsOo9RToFfzHOAqnnGckUriI5srgMcpnk+g9KmXLybj8oAwKrTEvIsW0l1IDAd1z1qzv zcogxwM/hTGLIAwY/dZfT0qncTyLKFBXIH3h3qaeVTINv3t2CPanNbrKR5ijBycD/GsMRGc4ONN2 ZdKUYyvJDLImVCWxwNo96nACEknPrUQDQoQrAhRjpgkCpRhlK+oyDWlNNQSluKbTk2hFwp6Y9qMq qY4B6AikyRIueoPB9aR8Rye2Rk1ZI5VQcDA96ZJJswDht3UDrS5DlzkEg5HvnpTd4APyHJ7r3pAM RDCrSuMu56Cq9xM8oeErgspxn1qUyyk/dJ2njI5IqMPFKUdj8wyD7k/ypMQ2MEQQx9wufzq1Gh8t cPt46VRsd21EblkO364PX8qmN04JCIMD3raXwRsRD45FpUJbKn5c53fzFKdi71RN2eCamZlC4A+X txVdxvwgAyfT0rLYsjhmZG24/LtVnO19pO75STTfL2EHoR3FLwoZ1zuZsYrSpKMtUZ04yirNhgPF luOeDQWGwE8EfrTpRmDJwC1N8vIVj0xioNAIDbhgH0FPUAkcEYH5U0sAS3OMcA0qHbBuPUnk0AOY jPHBzR1HIxxyKQH92mSN1LjhTj6UACnauCfpmlYZ+YcNQvOTgYpPvN9KAFJLovHUZI96Cfk2tycY NIf7xP8A9amsGY7TgmgB4GNykcY4NG0shDdv1oLKqYY4x3JqNZAHXa4YHtmgB6li2E7daYMJITzk 8YAp29I85cDPJ5oOMbt3ynvQFwI2ooBxjrxTPNBA+UnHfpQgRwWLA/3RnNPhGEAbv0oAIgxd2foT jHpTJYwJPMD7TjGOxqTftByMY6+lMVA581x8v8IoAhZ4w46HHPy0QyviRz/rMkKDxkVZ8tRn5RtP Wo3IbARR16kdKQxrAwQSTcvIVySKkQxFfMyu5wMsKjMbdVlYN056GosJCjjd85+bGaAFtf3kzux5 3bRn0FXAMyEe1VrVj5CljyeSMYxT2mALuT8seQTQIkKh3AI4YYqHeYSVYcjjPY0+IttMjDBI+VfS oUcSLIW5AH60XAfIRsCkEEHKntSXB2scgFXwTVJGuPMCspMROM561ZbBBDZGODx0oYwKbJcRt8yg Haejf/XqPczyBQdpJJIp5MZzyc5H/wBekiGEkZuo5B9RSENMXzEuWJAwCTmmmERbycZxwVPUVBca hbq7ReaFYYO09qebu127zOpOMH2z6/lRYYsRYBJP4uOcfWtGPGX/AN7+grPSaCUhIGDheuO9WlZQ OWIPfitXpFIhfE2SGT5fmGF9qkhj8tAW69vamqgGP4hnOD2okLnIXp2rNFAc7s7uPSmfM86gZIHP FN3sWwRyOnFWbf8A1YJXB7igAVQ33lGQcimMrFxuHGeaakgVZPMbbk4Ge2aehIHlv17E0wQ0qSuS DnGOKUAiMA+4wKUpjleDSAHzD7kE0AN3KpHHOMDPtT92TjGSKY0e4bW6kHGO1PQMFwTSAC2T6dqI l6tnPc0Mq4IJA/GlaaMKB5iZ/wB6mAhHH86eny8t9BTBLGW++uPTNI0qt0yfTAJoAjuoBcxBCeN2 QRVKz0WGFhKksoZXyAW9sGr+444jbB9cCop7owyBQjDjoQD/AFq4zklZMiVKEmpNalW9060mmLzS OCy5wG68Y/oKki0xEwFmlxgrgt61DNuaZsR5IHIH8NXII540C/N2wVC8/nXNSxVec3CSslsazwtG K51ux1vYQ2spZc9O/ap938R6noB2qJvOLYBfjjnb/hTVSUD/AFoHblc1u227siMVFWRO2cHPAx+l NUkRKueAOKiKyj7+4jb/AA4PFIuxshny3o3H6UiiRpFAOSM+lCuCoxyB6U07UUggLTQYy29GOcfw DOKQEjK0pYBsDHTrVW4QIgVPvkgBs9/enuJFXCq5H05/SmiSJWyG5I53c80wLW9FQbipcdear3gT Y0oPytgOnr9KaD552q/yHOTSu4jjQYyS2AO1ICzLIsMQdmCogy59ueazoby2F28InRgx4579MVbv E3W53Llf4xnt3qj9gglu3eKFRsIbf71ceS3vXM5e0v7trD1uoIZ/LmmVSrEqCetOOpWy3Y2yowbO RnuKimgspCkskKs+cAt296gFraAgrCgxk4IP6VLqUI2jJ2b9A5MQ7uKVvmWxcRyMIxKjEk7GU55x 0/n+VRxXkcxdBIC2e1JFaW8LCZI0UKnA9D/kmkS2xKXt4SoZcEAdsYqmodLiXtdL2JYPK2tJsDue 5GeKUJv6hQCeTgVJbRCO2aIJJuHH3SaQ70ky0JKAYII9aFZR8y3dyt0HIkdvKoA+9/F64qJ2Yudr nrzx3oY7huVcqpzgmnQFJFZzIBubOCKixVy2ZHCkCJmHrxVeS7eNwvlsBnIyP581c3DGQOQcEUEA rsY4YgkUxELyCSMjYwY9MKaljl2xAFHyPQVIhwEzwSOlNlJLAfdI5z60AU7lhPGwYNg9yOnpQl15 sOGChgMEHnmrSRBkLHp6VFGgFyXB4xgrj9afSwnvcN9yuCFLr7gCj7SwU7oXweScVYOGAOc5OQBT Gy2UUAKOCaQxizrjap6f3m6U7dEeTIZCew/wFPCgg87iQOTS4BGOhFAEWw9UiVVPcioZrAzybxLj nkgYzxjGKubinUcDvTXU/ejPNAAiuT/rTkeoFG2XblZFP1X/AOvVeO4dZGB6ntTo7psEbR1qeZBc m2uVyZOh5wtBgz96RyD9B/KhsoMjkEcink5RSvNUA07VTbgDHQCnIdw3H6UjqGGR9aIzmMgdaABC cE9801ht3Y5/pToxg8HgCkX5lce+c0ACPjqKZhWzlcrkcGnZ3rkcZOSajyeJBwP50DHiKJZSvlqC enFNKNyVOGxk+hFI0jtxt5I4NIZ/mXcMYODx1H/66AHxSBm2sNpAHB70DaSVZRgNjB96hc+bGyhf mH3W9KaZNyFV/wBYxyTnvSAQW6rI4Cc9gDg01oE37S8i4HAJ7/Wrf/LwwHUrUTuGMB4w2BTAr7XC HzPmbpzzk+gqRtyweWWC5HIUVMUXexU7drgAelRqDuZdw+XnkUgKBgZIJG3kMflRQM5/wqWO3lLJ vwpxkHGRn3qwsROXIBzx1696cZXXadhwDnjuKxqUIVJqct0XGrKKcUMcgLuZjvXoOuaYxCy7mfgc 5zUM9yYiuY2YMDn5c8ilG5ghEQDHtWzTIHSvPLD+4n8liwySobj6Uwx6jFEqtdoyZJx5XPbrUgXL PJkbsKCMVNcBtoYtkBc4HFX9kn7RBYrLiVZ2VgWypVcZGP8AHNHltATGjoVHTctSKY/LRiCVYAha g+32LDP2pR2wRUFGjEDuLfwgc/WmyuC+R/8AqqQkBCo6L+tRFcqSv3h+tIRbBXg9+1NkGWHGTSRB vLQAY4pwP3hnkVQEe4IjLkVHCR52euf5USgMME7fTI/lRBkbuCTgdaVwYLlNyZIYHKkdxThJhijq Bk8H3pGQkB160kpGVdiFVeWycYxQBMNuOOlKRx1qJZrcklZoySOcMOKkR1dfkdSOmQc80wGtPHGy h5FBPZjg49aYlxCJOJU2txjcOD7UT2cE7hpYUkZRgFh/KoxZWcZV1t4xt+bIXpQAx4z9W9R3oi+/ g9u/rVtx5g6D8O1Uv7Ks2bJiyT2JNTyoVi+BuG3PTofamodjFW4Haq7xzRW2LNkUKMAOM0yJLxW3 TywuhGGCoQefTmqGXslGBPK8/hURPlyk54PFDb1jXDk5HpUTEkFWIyRjI45oAmZ/Lfcf9W/f0pv3 YMMcbjwfSoA5A8tuVJGO1W32yIBkHB5WgCItsEaHhnO6nfeJQD5VzmoWXKGJmG9PmVvUdqWF9yB+ eWy9AxysdgYcgN09KdkEP6EE4Pamg7JF+X5WP69qUxIzFGbaT6UAObKSR8cYwT7moZUQ7iwwueSO oNEnmoqCQgpvGSOtOmAJkZZVAI+YGkBHIrxHcHBGMZNRJjzIoySpQllHXd261LHt8gMqnpjOM0yO 2WV8Mx65AHGKTQiVHDzzhTjlQp/2sVXYu9w0Z+RnGDnt9KmFysdw8T/KAflJHB4qoYNRecyF7diG JTk9O2aYXLbFi7RKRtCjJ/u0SOD8i5yq54qqg1FjJIptCSMEfNjPpTlV496Ngs6jkdsdqQEjbsBo zuBPQ+vrS5Equ4yu0c0yTa0rvGSucduCc80RofMaDJKk5JFIYkKstuMjLytn8B0qww3ttIO1Rg0k jiN5JB/D8qikDv5fkjOXHzN2HvWsrJKJMdW2QlHUmRc5Zh8uOAvrSxrFsGIhg89KtlcE7ckcfTjG BUsSps7VFiiDklQuR3JPapWAVcKO1QGeOFgepOd2OuackgkACnJPOAelQqkHLlT1KcJJXa0HwyNs AB4z8pPepowVZgRznJNMRQEVSMYpxJOCD71aIAxgNuwWx0FREZnBwRkVKjkg47KB+NKCGG7tmmBG oYMAcYA+XHSiSMSRlZF3Kw2kHkEGnMcEjP0p5GUXI/CgCmNLsMcWUGCTxsGKlit4bZCsMKxqx5Cj HPrUv8PB4NKCGGGHIOcUABb92zDqOtNVQsZB6McLSDibYeAevvTsBpQ56DhaAGxnH3/Tp70mWLDB znpSD/j4JB4zUVzcx2fzPnaxxx1oSb0QNpK7J8DyymAM0wfOcHIbPr2qpBq1peyiOJm3BSeVx0pD qlrDcGN5MMnqOtW6U72sZqtTavzKxYng+0gb2bZxwhwR+P5UqWyQLvUs2Tn5jmq0Ws2cgd03bVQu w28lQcf0ofV7FEYNOA44AxR7Kd9g9vTtfmRYdVdeMH2PNCRMqk8Ln+E9Kq/2xYBwPMxk9cd6fJqU QkUZZgQCGUcHPal7KfYPbU39pE6AEqzxjA4/SnXA3R5jJUr2FRBi0W+PPX7h/l+VIzGXGwkAnBHp 61ndmgsMokWJSSGBz0zUzOm1izgknoBUTqgUJjheAabCCzs/8KDGOuTTuA8OTAolwVXj3PvTMRnJ A3KwGB2pUk3wFGHz9G+lOZQFG3kdBSuBTvFuZZUFtN5TEYyOfxpIYbq33G5uhK4AwcYx61ejjIjZ h97oKq3COysfm+926e9OdWUab0/AmNFSqKV/x0KSRagcqblZNpG7K9Rn/D/PNWIrS4EufOKqx+6O 3oBmnQ5LkIX2HhsevarBynzA/MOgrOhi5Voc/Lb5Dnho03y3b+ZB5bb2OSG6/exn9KsRt0VwVyO5 pkrb0AKHPvSRxE7Vc/MB82elXcZMjqhx8oZhnPqaIiqTtu3F2XOT/Smuy7EUdDzhqiaZppFJAHls PmHQ0DHuM2mR3zmkaTcY0J2cZPqRjpUsY/dlPRsClVOS0mGGR26CtKnxMiHwjPMMziNMrH1P+FK1 wiYGeO1JLHsnJU7Y+hwfpSpCuDuUMcnmsyiAWDQkIkryHHLPz9KmtLTyC0u9zv6qx4Bq0PmB55FI CV4PKn8xWUaEI1HUW7NHVk48r2HqPm2nvSkckA57gVGxJj46qMinM/OR0YDBrcgQHB3Lgk9c96WM gqijsSW9qWRdzDHbio1LBmRTjfyDQIcDvlJ6Y/nUp+7j0PWmLhF4pUIwzjp0FACKfmIODk5/SgjB 4OPQ0x8qUJxjI5qR87enPc+lAxjfwqcZB4IqR+pYY+Xp6D3qEgMCDn1z6U9XDwuDw2OaAI2QArg4 yBg+9J/rWZGQGRRjnkCnyjej9cqcDH0FNjP+smP3gNpx3NAgRY0wqRrxj5sU1xG6+Z5SE5IPy9ul SDb5QH97jNVctlol74IPtnmk2xWQkzxIQEiXJyMYHK//AK6SJY5VJMS553EgcVJLahlQpndjrnnH 0oiiQLtyeRknPvXNF1/bNt+6bNUvZqy1F8qCWDDRx7ieMqKk8tSpwig/eHH6Uu1ZNqHIxxTHXLYx gngEfzrquzFRQ5Yglu0j5Bbke1NhciNUIwTyD6inzbtjrycjg/zFG1dgQdQNuTUjIyW3MBwAec1H HwzHld5GPTNWUQSbsg9OlRqA0ZPccgehosApAWTfjB24NOU/L7jt2qRkU9Rz2Wo2KsNyjj1p2AQS 8rt4HOR6GmuvJUEFehB96id9ilxg7W+Ye3rTppNpRx7YPrSYDTH5bE4OehI7c9aeJFZ9wx1/IUsn LkIcMecHuKrn5yzx8ODkoe9IB9wJWUeUQrEjB9qoxQaiZh506NGDyAOvHT86voyTWzsScnkj0xVd nMMikHcD3q1UcVaxEqSk1K7KtzHdC4SSORSmeQ/05pCNQUEF4SrAAKOcCrTxvIWYAlf4RjOeKIpR G/DMeOeM4/wrGWM5KkaXLe/kWsJzRc+Zr5jLNdQWUmWSNkz269KVPPgZnnuN6EhdoHJPerYUum3d tJ56c5qCaCQMRblXkTON4wF/zzXVUqXbSsYwpJJXb+8kHmyOm9SABg8deeKtCQDIBHHBqB5sJHIP ugbXx2NV98bnlC23jcO47VgbGmuO/T0pSAc57cYpSCBn0FUzev8AaRF5TY/vY4q7ATumHBXHPekd m8so2cE8H0qRsAYA+gpN+RgjDE5P8qQx28GYMOVCnP8ASo5fkYPnKhunpTXbBDrgP+hqQMvlshHc Zz70XEJMdqkr/CM1JDxGqZ5IzUDxqcgMRnjHai3fJJbgqdp/pRcB8nICdNxxj8etTcEMF6Z5z3qv cuQCOxOKlRlYHGdozRcAGNhCcD096jKbm5wCOlKj7JCGHJHFKdo2926j3/zmgYiPtG1wc5zuHeo5 F8tigI2S8D2NBAK57+o9aV2WaPy24cDnHY0AJM3ltHk/KuM+1Nt04LMPvHj6Uko82Dbj5wQBUqks zEfwLge5pMQ4kFDg4KHANQ7/AN6M4G4Y9jRC6kADpjp/tE0yVNmOSO4z2oAmz/pABOcDP1p8jYCs R06Cq6SeYyyMOAMAe9STFtpxyQuDQmBJLwQv/wCrPpTA58kehOTTXkV5oyDkEZwPapBkJk8sR0oA RHVGw/AbinouZhnr941CRuAYD5s80ok8o4DZDcZP8JouBKWxMCeh6H0qHO2bHPzcMPUU6cb0bb/C MAeo4/xqLdmVZAfvLx9aLgPkgVgDnFQ5IGyRdyHuBx6VNu2usZ6bcmmpyf3ZGCuSDQBEsUuIwSQy 9W9vSkCMsiydSTx7U4mZfmIJAIzj24/Wo1fM4C/dweD2Pr/OkA1Qyu+TtJbccinxRKZy2BsHQHsf an+aWuGRRkdTnoPSiX93Mrr0Dcg0AOgkd4iinJZ2wT2XOBSGDYilBulb5RnoB60+3GJZB35xUpDC NGUfNt4J7VrKySSFG7buQB1id1DEsCNzEVCGZUllDgh2OMc4yMc1Ywj4dhtc/n+NRSeXKHC/L0Xj oSe9ZMYxhvkDKT5TrliPUf4/0qVFGweW5VfSmFGinRV4UgAg9OnBp6wRndzsOeQDxQBdHy/K/Q9K QZGxcc5P5Zpep2tg8dR/Ks25OqJNi1EbL0G/uO/41rGPM7XJnPkV7X9DTbAPI5pMDftA+lVEN61n IJVQTjOMHOfSqzT6sqhWtoNykYzJT9nfqvvJdVK2j+40GhVyy7uSePamSQyMNoIBPJPrVNptVBMi wQEYA2g9B69fpUk39plUMSxqQAGDHPOe34Uey8194vaq2z+4kt7eWONlldnJbdup24RSFyhye+c/ nVgb0VfMYMe7AYFDsuwtgbcnpWbRqVp2DW5ywJ2nDDmpEcmPaUIJHHtThEBJvQgITyPWm/vEcsMv E44/2TSsASHzI1IHb8qbHJ5kkWDzyW9qWFWOwBgdqkdMUxlZbgNGpyRh19/X/PrQBJG4zKMds/zo Gx2DgfMQD/jTHPl7JeoICMP605VaNQSCArEZPpRqArwLNjaSuRww7VGXlMfzKVZfvenWpkuIgeDz 6AUjoZZGCgr6nPWgCuF2GSUsTk9Md/8A6/FTsf3mxhnIyv1qBy0Ew4zCx+U9cngVJLDIoDSOox04 6UWAh/495mLDMZPyk+tTx8qVJy2NxPuarzXUEBMFzJGmEJIZhz6Goba+tokXdcxHByPnFICaE4lm AzwR0681YcjavOADjPvVSHZIJJY5FeNyFG1s5PpmrDFvN8tl2rt4HXmgB8T8u7dM8mmn5tyt97jH uKigfDmBh82fzFLAco0p5xkKSaAHKHjZlVuM9/6VHvMbRhiCoYnjsTUysHhyR904J6HrSGBDFzyD 1PSgAn2lQQwVx3/xqCOci1ZkBDBSxPoR2pVgbay5WRSejcGkkjbC+TtKbSHjz1FAEsjFvnjYYdBl T/OoGdJAwkyJFx06j3pGxK0YJMJRujD9BU8dmX2ybBhRwXOKpRcthNpEBDxqVLDL8hx39Kl8p3Mm TlzgKPTHNTC4WIhdkXHdTU0YhmXP3ZDy204puDQJplOCcNIrdDjBHpVsNgbWHCnANNuLILbOySAP jgkcg/1qtHbaioAa9TJX/niP8ap6xXkJK0n5lmSOJwxDfMRjjmmLARjcAEAwAPWmpbXwZC16rAfe AhAz+tXJWEcTO3QfrUFmasygruG5vNKHHsP8atwLiIbwN3cYpggW2DbOS7biT6monlwxMY3K3Od2 KQi/8rYDcEmgA43BhnJwSOlIwYgAgHGOc03LLhPvduO/vVDAkqRv4OMZ7VSuJmaQ/PgYxnGNwq5t +XDscYIA9aa0WRubnjA9q58TSlVhyxlY0pTUHdq4W372PBbaxABVRgDin+aVRkIyc7cD+dICysAC S7dPpTlXdvJ+8TW0VZWbM5O7uhPN2QAHk+3NVzI+x1RcqDwTxgU6fZs4XkcnHGaQQMYwc7juBP0p sQ1HYKIt4yeAcdRjtThGQqbWk2rkYBqYou8HA3AcCnDoT36j60gIokIcyZbd0ycc1DHbym4EpmO3 BBQ1aIdug2g880xkZTkMCeefc072AFYqBvYHOSuF5prMXXBLbm7HAp0BBiLkEE9z6UPIo4yOenHS i4EEVuLeBliCIxOeFAB/DFTNPsQM42jByc9BUUzM+cjBHT3pHjCKoxljgHn1pXArjVNPlUxtIeMb QQcH3/SrEVzBOpEcnmkDkcgCkjj2yOHGeAfbHtUmMZ24x3PrRcBkhQ/LJGF3fLuHb9KprYywAmO4 MgB+46DDfpVsyEHa/CkYz260eZlgrHBB27h29DRcCvHbeTMGXy1iRceWANoPr0z2q9DK1zbrKw2g k4/Cq0ilyDkKwGevUVPC8Zs1bZuUAnHpRcCtKBKpdDiVeOP4qEn2WG7jy+m0fr+tSS+W0ImtgNze tFpbo8DBgTvJJ9OfSiwXGMTHYYJ5OST+uKmeXZErHkZywH8qguI5Y7Vo44zg4QZ5J7Us0MsVl5QA Py4J7mkBOqRyAk9ev0FRm0KvuVgoAPTvT4RtgA2kcA59aBKjIqE4OCT7GmMglDK8QlBwG+XPIzjF aoxJarjngcVnA74HEgDIowT3x2qeCUwYVySrDNXDVWIlo7iztEoVGAZX6KRmqnlCP94sm2PPRv4a tu4aMlcDB647VXlkjkSSMoQp/ix1Pepu09CtxgmkdgjFmXsckgn8asxSMVJVGbHGacojdMcMe2PX ilkZym1MJ6safM2rMSik7gt8PtCwlCMjIJqK/Rp4NgfHPzc9vaqcwAfy5nJU8gjqP8KvsDKwH8J4 zU3uMqh/tigOSDGTmMdDjp+VTLbQ7RuHPsoNU1U2yujH77Zyp5+lXCXAXy3UJtBGaQFzLE9OaFGz OQN1NUSFByv5UfNntVgIRukxngcke9PZhtJbpikG4R5Kjk+tIquzhioxjHWgYkYxJkjBxgD3pZFJ brxjJNHzFt+08ZPBokJzt2kgdelAEc4BjYYxngCpEG1lUgA8c00fdz8xIOF4p4cNg8kHrwaAHsq5 z1FN75xnFGfmxg4/3TxSK6nnJ49RQIeQe3OOahb74UcE9fcVIsi4IDjAHc0qMjOGLDjpzQA0IEUD PpgVAwXdggc96nZhI2Nwx657VCf4sAADqaTARAVLFhlQMUioQvJ3YIxmljI8s4J+Y8A1KCpUHGce vSkBAx2uSSCMdPUHpSOQcMhwG6E9M0+RSTwNq9z1NRjn92eQeuaQDQd4I2jn7wPTPrTDHtVcZ4b8 +eashPmGcbh0HtSOcMTjAAwwPXHrQBE0eJ8L93buYn69KlXKxuvAWnHAY54XgE+hqMkRPtfhGHU9 M07AQNAEikH98cAdqfB5v2dMOeBtpd4jkjLt8gyFb+lNkkXy1cHaeuew+vtSAelw6KdylwpIYjqO asb42CsCCNvr1rPiMtwyhTsWI4dgevfNTQKqSSNHueTHftTTAnuJ2jtPOEbFhxsArLhv3luDA1nL nfjfjgDJx/T860Ybp2gIaMbs8jpUCX1vDJIXhYAcFlBYfjWkZRSs1czlGbd4uxWuZpY52CWkpQBW YAZBOTx9eKG1bzXCtaTgKeBsOatf23bsi+SXGezRMOPyognKXHmy/M5XavP8/WspYmjTnGElq/Ut UKs05Rlp6IrxX4l/ctBMpb5TlTgUWt48kggkt2VVUZLDrxVppsOZTwNw/Wp3WOaNzgHj73vW9SUL uyMoQmkry/AjldLdlIU5kYJgdjTpZADl1yOpwahu0EdopcgGGQMQTwanx8vygEAZ5rI3Kc7wtEyR LudhjOKntJSIIlJGxflP1qOaUxAs0IVG43A55p0CSQWqYXec7nAPSpEyS6jbyN6KpGSADUMcD+Ug VyVA4q4sgmj2uMZHzZHU+1NMaPyFYjoMU7AT+Z8wByv1FO6kbumKKKoEOwGXB6igcHHr0oooAXjG 7HJpuRkeh5oooAMABhng8j2o4Uj3GaKKAFJOTz9096Thh6c80UUADcx5XgfypQNqbTwD+lFFACFM ptzwTzUDKMMi5Gfc0UUAJ5KGFcZ+X36mlMf7rknOfzoopAM8ojdhmwAP+BdaFXYm0k7s9MUUUmA0 sVywbkHPIpuS4Icgc5Bx0oopAPQ5iw5XJY5469qrebIEMQG/aMDvkehoooAi3GIGKTlXzhT2pVhd div8zBTsAPDfU0UUAWol8vHyfKOQq+//ANfNSl3A4Az1zRRTQFWWVi22Qhcjoo61GVRpfsnKwooa TaOST0FFFOOrsDBrMRlXV5wicqhkLAAex7VLDYFmG/BUr6miiipTg5arYITly77kUO3z2jmIbyRn d2NW3lQeW4K7d2049fWiipAcjGQFypKnBOfUVRObe68ne4RjlJMk/hRRTQIebcyXcYy5VmzlvUdM UpldAolwylsEjjHPGaKKAZPM+InYHhRnA9arz35gcRJuJVQGwueaKKQH/9k=