The Paradigm BI Planner data model for development increment 6 uses Azure Logic Apps to retrieve data using the Logic Apps service connectors to Active Directory and Planner. This has the advantage of not needing a Key Vault, Registered App or Token and the disadvantage, compared to using Microsoft Graph, of many more Logic Apps and a slightly older Planner interface. The logic apps will be packaged as a single deployment to a resource group to simplify setup.
The model builds on the previous design and now goes down to categories and task checklist. If a task has multiple assignees a row is created for each user. Currently, only the first Category is extracted for each task, if there is one. The model looks like this:
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAArQAAAJDCAYAAAD6qYd7AAAgAElEQVR4Aey9328b553v739gr3uxBQpsmoskQJHkJs3FNr1JggJx98L9ooANrOPcuAWMqDDQmIt12AImjg5Y7Hd29xwep8s22hM0ntZr1t0wrWe97bhqlIhhbHFsS5RkSVZox2asWJZl2pGYOHkffIYcckiREmlxZp4h3wJGJOfHM898nvfzeV7zmc/M7CgsLoATbUANUAPUADVADVAD1AA1EFYN7AhrxVlvdjpqgBqgBqgBaoAaoAaoAdEAgZYRakboqQFqgBqgBqgBaoAaCLUGCLQUcKgFzDNznplTA9QANUANUAPUAIGWQEugpQaoAWqAGqAGqAFqINQaINBSwKEWMM/KeVZODVAD1AA1QA1QAwRaAi2BlhqgBqgBaoAaoAaogVBrgEBLAYdawDwr51k5NUANUAPUADVADRBoCbQEWmqAGqAGqAFqgBqgBkKtAQItBRxqAfOsnGfl1AA1QA1QA9QANUCgJdASaKkBaoAaoAaoAWqAGgi1Bgi0FHCoBcyzcp6VUwPUADVADVAD1ACBlkBLoKUGqAFqgBqgBqgBaiDUGiDQUsChFjDPynlWTg1QA9QANUANUAMEWgItgZYaoAaoAWqAGqAGqIFQa4BASwGHWsA8K+dZOTVADVAD1AA1QA0QaAm0BFpqgBqgBqgBaoAaoAZCrQECLQUcagHzrJxn5dQANUANUAPUADVAoCXQEmipAWqAGqAGqAFqgBoItQYItBRwqAXMs3KelVMD1AA1QA1QA9QAgZZAS6ClBqgBaoAaoAaoAWog1Bog0FLAoRYwz8p5Vk4NUAPUADVADVADBFoCLYGWGqAGqAFqgBqgBqiBUGuAQEsBh1rAPCvnWTk1QA1QA9QANUANEGgJtARaaoAaoAaoAWqAGqAGQq0BAi0FHGoB86ycZ+XUADVADVAD1AA1QKAl0BJoqQFqgBqgBqgBaoAaCLUGCLQUcKgFzLNynpVTA9QANUANUAPUAIGWQEugpQaoAWqAGqAGqAFqINQaINBSwKEWMM/KeVZODVAD1AA1QA1QAwRaAi2BlhqgBqgBaoAaoAaogVBrgEBLAYdawDwr51k5NUANUAPUADVADfgKtB9engcn2iAoDdDh0eFRA9QANUANUAP9qQHPgdaBl8WFOXCiDYLWgKNHOrT+dGhsV7YrNUANUAODqQHPgNYBBwGY+Usz+OhqAdc+umJP8p0TbeCHBhzNyefVKx9iYW7WPrFy9EnHN5iOj+3OdqcGqAFqoL804AnQCiwIyF6ev4TrH13Fl198Af7RAipY4P79+3bOsGiTUNtfzoyDE9uTGqAGqIHB1YBnQCvAcGkmj7ulkgocwzrQAjULfLJ0w75qICddArV0gME7QOfkgp/MsfdSA+zrwfd1tgHbwCsN9BxoxRkJKMil3empi1j79NMaSPALLaCCBW7dWsbs9JR9BYFQ669zdcOK2J4TbRCEBtw6lO9eDbAs11//QnsPtr09AVqJzkrebH7qIj799J4KDMM60AI1C9xavonp/CSjtD4+ss4BCIEX8Q1zs9P2FRy5isOJNghCA6JBd049YWiwYYjtH/729wxoxVlMXTxPoK1hFL+oYgEbaKcu2lDl5NLSmXnnzNww++HiAj69d1cVKbAeA2yBL7/80k6JcyLEjNR65wPoX2lbPzTQc6AV5yBnvXLGPXnBItAO8ICh6qEv3/zEPtmSky4CrfeOVkBB/ILYe+XWsqqyYL0G1AIfF6/zao2PV2v8ABvuw3u/rqKNewq0zsAlQDs7k8fF8zkC7YAOEioftgO0ctIlWmVkxjvn5/YJM/lJfHqPKUgq941BrNvtlVvMqSfQMo+6DzTgKdBesCYItIM4Qih+zAK0cvXAAVqJHqp4ttkPdRKgdefU32O6geK9Y/Cqt3LrFuRkS3K7xRfwBNe7E9x+8Gk8BnX1ESDQTiD29Yfw8ANNR5AbPL/LI+6RBQi0/jkkB2idnHoCbY9EzGJ6ZgFJg5En8jAFyT+/QCikrb3QQMBAuxvHplaxutrFNPUm9nydQNszb95vBa0UUVzZ/KAItP45UwFad079vbu8IWxzdXKp3xaQx/jJDcwEWv/8ghcwwzLZfgED7SN4eucL2NnV9BQeawe0Sxm89oNn8WQ16vvkc697F8ldOoGXnOjyo0/hpZEprANYOvEiHj4y4bdP7p/9rRWRO6XjqKZB045CP5VDca3zw8sNfwVfGd48fk+g9c/xuW8SlZx6Am3nWuaa/ljAAVqmIPnnFwiftLUXGggYaHsYoV09jaFHn8Wro1dtsPTcFdpA60SK5zGy61t4bYpA++B2X8O0PoS9QyMYX1xBhWHXsLI4jpGhvRjSp6vzHnwPzpYEWn+cqURnHaB1bhIl0Doq5KcqFhCgZU69Pz7BC4hhmWw7RwMBA+2LSC01urWlqTSOxeP4mT29ibenmleQyKgDkvVt8699C98WomzxZ0dND8fx2s5H8NKJJaxPvY6XvvmInb/75K4jGLV3ITm99frkjjyEmAT6ckfw8L7XkXptlx35fXL368hXQrEN9ZD1X0ovuSK0qxg9XIk+P/3EUxhKX5X4LVL7HsIrr72OHz73OB5+Yj/eltn8w6I+hOHx9rkCK+PDGNIXe2IpAq0/DrAZaOUm0c2AVvrQg+XUV/tqT9TBQgbNAvJcagKtPz7BAQ9+0t5eaEApoJ0feRZP7j6MY+kMMpkMMuk38erux/H8yHzdxzZERuuzbQDNVH7bAGunA1QA1f79zBFkVgGsZ/Dqoy8iVQXJqydexGOvnMYqNgHaRw9jVLbFOkYPV6AY7nqsZhB7ZheOXW0ToZ1/HTufOYp8FWi/d6xyPPMjL+CxONMTsHISQ1o9TWBtWsehvXuxd+8h6NP1fIOcNoST7Zm3Koa1LSO5BFp/nOmDAO2eY1Pd5dSvTuHYbgJt3RPyW6MFVlDcIqmeQOuPP/ACYFgm286tAaWAVqD0sW/uwtCRaoT28H48/8RDjTmpbpB0ea5c/BHsrIJiZXYdUCt5rTXaxUu73kQtMHr1TXxv3wksbQa09vJKqZWyJoRcazm0UudXT1dKrC3HOvLHXsae3buxZ6eT91uJ0NqRX+bb1lpv5dQwRmrB12kc3a+j8nMR+v6jmHbWXBzB8KnNiTanfQ1fc8Gxs6n7k0DrjxN8EKB97Jvd5tS/gKcfJdC69d1f39dQzJ2CflRy6jUc1U8h111SPb7yleFN76Ug0PrjD9zgwe+0uRcaUA5oXz09j1wmg9HRUWQyE5g/fbgjoMX8m/jeoy/aT02wHfr6KF6tphDUIbNNhPZwBuuYwM8efQGVYPA8Rna6Ug4kQitpBljC2z94CEOnV6tAuzH1obavqaP4tgPOEqG10yQItC0H2zV3VHUcw4fGa6uNHxpG/dca1uoB29o6jV/cZTUucX4RaP1xpg8CtD2L0LpOOB923bTpaGDrz8a+uvX6XKPXFpArNUN7hzAyvoiVar9fW1nE+Ijk2utwXbzZ1q4JtP74Ay8AhmWy7dwaUA5onehlzUNJDqv7qQFtIrSy/vr8Cby6S6KhD0EGse8NvWnnu9Ygs1poPYf2ETy9r5oTC+Bqen8tT/a1wy6g3X0EPxt6AU8/8Qh2vnK6Et1tU4/avtYn8Nqux/Hkzl14JX6k+qixxkGytm7tYPlFLCD5tHuPnsTJo3IzWC102zPjEGj9cYIPArSS497wtzSFt485OfVxHEtPoXGNxj5V29bdP9dH8YorP762zqZf2pTbapul0xj6ZnzTKGCrzThvEwss6hgaHkfb6zEr4xgecq7kbFJOB4sItP74Azd48Dtt7oUG+gpoO/Bd3a9i3xQmKQn889MCaysrWHHCMj3eMYHWH2e6baCdfx3PP7Ebrx5LV3LqM2kcO7wb8ji+elZ9G/B0A+3VN/HSc5LD7tzk6fRnSUtyrrIsYfTILjt94eFH9+PtJVe5V0/gpSeqefdXT+PVXS9g53NPVU9uJzBipxQ9jud3/hin6Sh60FtXcHJIq58grE1DPyQ59XtxyP20k5yGoa2T6re8qkOg9ccfeAEwLJNt59aAUkB79dguPLbrCFKj1ZvCRk8gtusRfE/utnL+3AOVM8/LTwKtl9btedl8Dq06Dm7bQCt9z77ScqT61JPDlaeD1CBU5OMCT7eabD/hPDXhWQydmIJ9X2dDf64Dre17htKuE9dquaMTiD33LGI5yTm6imO7dqGSqr+O0VcewauZ9bbpR+7q8HsXFlg5heF6Uj2mj+6Hc6FmUd+Po/WkeowMn2ofxZVd5jR87WsuOG5RDQKtOj7DDSf8znbpVgNKAa34mqXcCYwc3o+dO3dj6MjrSOWaQh5+A20LB8hZCluAbwpDt07Aq/V7ArSHT2M+l0FmdBSjmQxy86fxasdA60RfV3H6lUfwiuS+twFauSH11ep9oxV1V4BWXvry8JA8BUX+BIAlElu/ce0VCcnSJ/XYITTmyo8PH6rn0Y8fwnA9qR5rWyfVM0K7SDDyysexXLW0FTDQ9vDFCj12qSyufy3AlAN/nFBPgNadP29Lsh5VrSh0switG2irN3Pm4nhsZzVloXazJiCPDPz2kUwVXKXkarmZq0jtexwvnZCrRFN47ZkXMNL8uOsq0DbwcP92H/+PTPJp9x7FyZNH7ZvBep1VzwitP/6A8Ec7e62BQIF2xBXp6O71tx6+0tZ/d809+mwBAq0/jjV4oK2mHEjawuHqzZy4ird/8Dge/vrj2DNytB7tXZ9H6nDl5SkPP/EyTrtzaNfraQeVG0ofr76y28mZlaefSJkv4u2mC0o+S7t/d7cmOfXOGwR7e5gEWn/8gdcww/LZjgECbW+dEkujBTq1AIHWH8e3baCVZ0Q/uguxE/IIP8mrH0XqiOTZu54j7URS6+/l6FQGXG8QLJAb5nNomXKgTBoWodvbsYdAOwhOncfYYAECrbdOxXHa2wZaabWlCaRGDuOHO1/AnqEjGDkx4bpxy17Bfp30hsf9NbQ4fwyuBfimMKc/8tMfv0c7B2dnAu3gevqBPXICrT8O50GAtmcvVhhYdfPAu7UAUw788QcEPdrZaw0QaLv1flw/9BYg0PrjWLsG2pH60wO6y6l/ASNMOQh9vwzqAAi0/vgDr2GG5bMdCbRBeVHuNzALEGj9cXzdAm1gguCOB9oCBFp//AGBk3b2WgOeA+3q7Vu4s7rCiTZQRgPLN5cwecHCpZk8FuZmsbgwx5sGPLhxhEA70JwYmoMn0BK0vAYtlu+PxjwH2k8/vRcax8aKDoYFGKH1x7kQaAejP4X9KAm0/vgDQh3t7LUGCLRh98asf9cWIND641gJtF1LkxsEYAECrT/+wGuYYflsRwJtAA6UuwzWAgRafxwfgTZYnXPvnVmAQOuPPyBw0s5ea4BA25nP41p9ZAECrT+OtRXQ3lm9jU/v3eVEGyijgVs3P2FOvQc59F7DC8v3x4+Hyc4E2j4CNR5KZxYg0PrjCFsC7e0VrK2tcaINlNHAzU94k2iYoIV19cd/h9HOBNrOGIhrhdQCN27cwOzsLO7dq9+cSKD1xyG2Atp79+6GVEmsdr9a4NatZUZoGaHlk276QAME2n710jwu2wInT57E8ePHcfbs2ZpFCLQE2poY+GXgLUCg9ccfhDHixzqHSxsE2oF35/1rgHK5bMOsAO2ZM2dqB0qg9cdJMUJbkxy/KGwBAq0//oBwSDt7rQECrcKOllXbngUItME6UALt9vTLrf2xAIE2WD/hNeSw/MFpXwKtPz6TewnAAgTaYB0ZgTYA0XOXXVuAQBusnyBw0v690gCBtmv3xw3CYgECbbCOkkAblp4y2PUk0AbrJ3oFMyyH7UigHWxf3tdHT6AN1sERaPu6e/XNwRFog/UTBFHav1caINBu5ZYLJsxC00rFNNJW0zz+VM4CBNpgHSWBVrkuwQq1sACBNlg/0SuYYTlsRwJtCwfXMMvSoDXDK4G2wUSq/iDQBuvgCLSq9gzWy20BAm2wfoIgSvv3SgN9ArRlWIkIEoaJlB6Fli4CKCIdi0DTUrBKRZhaDLosj8VQWZyurgcU01plHixoB2LQUyaMRAR6HkANaIswYjGkTAN6/CD0Zsh1e0h+V8ICBNpgHSWBVoluwEpsYQECbbB+olcww3LYjv0BtOUxaAmhTwDlMegO0MZTELRFQYdmlmrL7XWLbYA2nq2shyw0Cc06QOsuo6ATaKtWUvmDQBusgyPQqtw7WDfHAgTaYP0EQZT275UG+gNoSyY0vZroWjKRcIBWS1eANp+ANlau+C8HfpfT0FI27jZGaJ38Amc9B2jdZeQTSDBC64wHyn4SaIN1lEECbf2qSzfyLCLt+IxONmN+fSdWUn4dAm2wfqJXMMNy2I79AbQowdIi0AwDejJWTzmoDU5FmPEYkpJyEI/DtDm2iHQ0ipSRhnYgUk852BNBMm3UUxMcoJUUhur6SY0pB8qPUhKs55vCAn0/eV8CrevKTu3qjbszML/ebY1QfCfQEoQIw/2hgT4BWpffdKcGuGZ39tWqpBl0tjLXUtwCBNpgnVSwQBtDRNNhmCnE4iaW7XR4DZULK/V+XjTiiEvOvGmhJCetchJcsqBF5epOGXk9hoRhIBFJwCqXYCUPYN+BOFJWqZ6OBObXK+4KNq0egTZYP0GYpP17pYE+AdoSsok4ErqGaNyspBls6sLaLcwjmazm4rZbhfNDYwECbbCOMligjaOaUYRiSkN6WfizCWidtKKaootIx+PQEmnYCUzlMcSjKWSzWWT1g5WnnbSK0LpPoplfX7NmWL4QaIP1E72CGZbDduwToA2L62Q9/bQAgTZYBxcs0DpPLpF7QjXIPaECtJVbPqsRWnfuvS3MKtBGNUgAFiUT8YSFUqlkT3YWfiugZX69n9265/si0AbrJwiitH+vNECg7bl7ZIGqWIBAG6yjDBZoIzgQ02EYCUQESiWn2kogohkw9Qj22Dd/Vh73F0+bMIwslp2UAztfXqC2ZD8O0F6u68hK3oJEbQ8mMVZoTDlgfr0qvb77ehBog/UTvYIZlsN2JNB27/+4RUgsQKAN1sEFCbQhkSirqYAFCLTB+gmCKO3fKw0QaBVwqKyCNxYg0AbrKAm03uiapfbWAgTaYP1Er2CG5bAdCbS99Y0sTSELEGiDdXAEWoU6A6vS1gIE2mD9BEGU9u+VBgi0bd0cF4TdAu2A9uYnn+CCNYHpqUlcmslj/tIMLs9fapgWF+Ygk0BZrzrboJVDoA17DxqM+hNoCVSD5pv79XgJtIPhswfyKNsC7c1PsDA/h6tXCrh+7SN8XLyOpRsfb5gWLy9gYW6WULv4YAMegXYgu13oDppA+2D9u1+hiMcVXj0QaEPnflnhTi3QDmg/++wzrK6uYn19HZ9//jm++OKLlkV+8cV9O4IrkVo6ue6dHIG2paw4UzELEGi779v0h7SZihog0CrmXFmd3llgu0ArNZnJT9qpByp2XtXrRKDtnZZZkncWINASzlT3paxfZxrtI6AtoWDqSGga4loSY8UeOsCCCS2dt59laZdaMGHarxLq4T5YVM8t0CnQLi8v46c//SlyudyGOkxPXbRza+lQOnMobjsRaDfIiTMUtACBtvu+7e7n/E77qaKBvgHafDIKfU4eny5/Zdhv9an+2vaHpeFgJI6EVS3V0iqvwdx2wSzASwt0ArQvv/wy/v7v/x7f+MY3cObMmQ3VIdA+uLMm0G6QE2coaAEC7YP3cVVAhvVgG4oG+gRos9DsN/80e0sL2oEYkpqJAoowtRh0w0QqFkNaIriu11gW09VXZVqa/YahlGkgEdGRlyJtgC0iHU26fsuCPAwtDdPQEEnKmkWkIwegpQ3o0SjiSd1edjBhlwIUTcTjKRipGGJGL0PIzcfN32KBToDWyaH99re/3RJo/3jawF/+bOK9d/+Cd98ZDXQ6m30/VLm8BFr2wzBYgEBLGCIQ94cG+gNol9OI6ZUcgJKVghY/gIhNrBa0eOXt7Sjo0OSF7vJXHoMmkNkGaJ1NkK1GYp2IbDGNeKpQBdxqUcU8stkUYpE0irVXZ1YguFJOEWlNlsk75aNImFlkswbiscq8Sin874UFegG0qeO/wVsnfwvj1Nv4/Vv/6dv09n/+DunfnbQn2b9MJ37za/zh7bcaHi8mjxtT9RFjBFovVM0ye20BAm1/wAyhlO3YH0CLAlKxlA2NtrOrgapVj9zmE9DGqikDDtAup6GlKpFSd4TWCfaWxzTYwVUHaCUGm9KQSsUrKQeFFGKpOZRrIFuH10pUV2pTn5dPxGAUSyiVZOppUkSvfXxflNcLoA0i5UBAUB4XJo8Nu3f3bsO0cusWPvnkk4Z5pTt3MDudV+4RY0ECba0/d6Xkel/taDPm1ndkJtVXItAShAjD/aGBPgHaSvpA9GAMmqZBix1EfEyisS6glZSDeAxJSTmIx2HaHCtpBFGkjDS0A5FKGoKlYU8kibSRQsyJorqA1gbUA9+pAG0xjWg0BSOt4UCLCG0FjF2DZDGNWCQJw0wjYcyp7udDX7+wAq1EXOWFDwKz7r/19TX8++u/wJ/++N/u2fb34vVryj1irC+BtnayXLkKw9z6DVIM3QwCbX/ADKGU7dg/QNsrN9oAr70qlOUEYYFugPZHP/qRMk85EKCVx4Xdu1cHWgdm4//zf0CmP/w+3WDSGx8XlXvEWLBAG0NE02GYKcTiJpZt/tRg2Varn+gWjTjiKROGaaHkXE0pWdCikhJURl6PIWFIPn0CVrkEK3kA+w7EkbJKPcutL+d1xBIGjESkfuNpQ+vyh5cWINAShAjD/aEBAm2zp8wnYd/f1Tyfv0NngW6Att3BBZFyIHmxst+7dys537dv37Yjsw7MOp9uqBWgDaKumw0EwQJtHNVsIjtNKL0s/NkEtE7qUa3xi0jH49ASadgZ+eUxxKMpZLNZZPWDtasymp2fX4nQ2ldhtpVbX8ZYPIqU7COr46CT71SrE794bQECbX/AzGa+iMsGo40JtF57S5YfmAXaAe3tlRVcu3YNN2/exMrKiv3WsEpes5PfXLJhUl6LG8SLFdxAe+PGx/gX7Z/sqKwDsu5P/divINFbAm2jzNw5tAVdg9wPKkBbuUW0GqEtmdCqN5NWtq4CbVSDBGBRMhFPWNWc91LlUYBNKQcOfz54bn0JZjwBy86rL4Gp9Y3t6McvAu1gwA6htv/bmUDrh8fkPgKxQDuglXxTeRTX+LtjeH/8PXzwfgbnPsg2TLlzH+DieSuQvFQ30HZqOAJto6WK6Yj9+D3DSCAiUCoPN7ESiGgGTD2CPTaJlmElIoinTRhGFstOyoF82lBbqi/XdWQlb0GitgeTGCs4KQfOfotIP2BufUnqFZfH/+nQ7Z04ZfLTDwsQaPsfdAizg9HGBFo/PCb3EYgF2gHt0tING2LP587h4vkcpi6ety/XyyV7Z5LIrNyYJU8bkEvnfjpEN9BeKRTw7tg7m05BR2id1ALJ/ZW6O5PYbv7SjG1HsaucJNyrplEEIgjulBZoYQEC7WDAjp8+nPsKRlME2hYOjrP6wwLtgPbmJ5/ggjWB6akKtAp0ORDmfAb5bFepgwCgk0P7+7fTbVMOLl44bzdWUBFagVkB1+sfXcUXX9xvEM6XX36JL774AvLyirW1NTu94/79xnUaNuAPWiAACxBog4EPQh/t3msNEGgDcKDcpT8WaAe0yzc/weSFSjqB/bzXhTlfI7BbdeJmoBVrtYJaB2ZleVBA2+4RY1KnVkArgMs/WkAlCxBoCVZb+WQuD4dGCLQqeVbWpacW6CegFcP86Y+n7UjtP2v/BElFcP8FCbTNjxhz6hWNRiGTO0JLoHWsw09VLECgDQesECrZTltpgECrildlPXpugbADrbwVrPlPorLy5IPmv6uFDwN5bFdzNHlxcRFnzpyxq+cG2v/6r/+CLCPQNrccfwdtAQItQWkrUOLycGiEQBu0N+X+PbNAWIHWebHC1MUL+Oijqyhev16brl65gtzEudpvWVb4cBG5ibOBP2JMGjKXy+Eb3/gGXnzxRezduxff/e538cwzz+Bb3/oWRkdHCbSeqZ0FP6gFCLThgBVCJdtpKw0QaB/UC3I75S0QZqCVJyzIY8PkyQDNjxTLvj+O//O//xf+Rfv/7elf/1lD4n/9K/7ttaP4ZfLfMPLLX/gyHXvj/9r7e+3/JHD9+vUGPfzkJz/Bjh077OkXv/hF7aYwRmgbzMQfCliAQEtQ2gqUuDwcGuljoC0ircnrKzv5K8GyX33ZuK6V7nT7xu34Sw0LhBVonScHCNRKfqrzKDH3pzxubOLcB/Yk0dkL53OYlMeP5ScxMz3lyyT7mpq8YNfhzp07dqPLiyokOvvVr37VjsxKdPav//qvcfjwYaYcqNEtWIsmCxBowwErhEq201YaINDazq01/BJomzx/yH6GFWil07Z7tqvzWDH3p0qPGJP8WU3TbKU4ObSffPIJ/vEf/5EpByHrP4NSXQItQWkrUOLycGikT4C2iHQsAk03YKZiiJvySh8HUpeRTeowzBSicRP2knQMUVk3HUckJXeLO+tW3yaUkHJ0RDuO8A6K6w/XcYYZaMPiQJtvCnMrxAFaPuXAbRV+V80CBNpwwEpYfCLrGZye+gdo46lqekERKS3teo0lgOU5WFkTiQMaLMHXdBwpOxfBAVnns4wxLYG87XHLGNOZcqDa4NNNfQi03juWzYD28uXLWFhY4GO7uhEt1/XdAgRa7/0EIY829kMD/QO0tWhqAbpmouREXctj0LQxLJcBS3OAVkO6JdCWYGo6Kk/4LMFMEGh9H116uEMCrfdO1Hkiw/VrH21ouaBfrFAqmNATGrS4huRYZ9n0Gw6i5YwCTLPxOcCAhXTFqbTcgjPVtQCB1ns/4QfMcB9sx/4B2sgBxHQDRiKChFWqpxGULSQiGgxTR2TPVqFH8TAAACAASURBVEALlCwNEc2AoScRq0Gyus6YNWtvAQKt9w5OgHZ2Jo/zuXP2DWmzM9NwppnpPKbzU5iavIgL5y1ks+9jdXW1fYP1ckk+iag+B/EE8lcuV7/05MOCpsm1HvcfgdZtjTB9J9B67ycIm7SxHxroH6AlfIZpDPGlrgRa752o3Lw2f2nGfhKDQO3E2WztMWNns+/jg/czeH/8Pbw39g7+bP4Rq6u3fWn7bPVqTOPOqrn2WgpWqYy8HoOWNl0nwS5QtTRUmNWCdiAGPVVZT7fzkZz1yrDkBNowkdKj0BihbTR3SH4RaL33E37ADPfBduwToF2GkTTsG75C4kNZTR8sQKD1x8FJlFagViK17seM5ScvYOriecgjxqyJs8hm3kOpVHm8l7fNv4x0rJo6VLKQ0uI4EJH0oSLSTq69pCIlKtnygJOm5IAqJD+pDrTxbLW62Wpktrqeu4zyGHQCrbfN6lHpBFp//ASBk3b2WgN9ArQeeToWG2oLEGj9c6CtHjO2MDdrg648T1eeoStQe++ukwTgrbQKqVj1xk/Zj3PTp/MJoGRC0508WDfQVuHVDbROekENYKtA6y6jZCJBoPW2UT0qnUDrn5/wGmhY/mC3JYHWIyfJYoO3AIE2WOfmQK6ArURvL1gTuHfvrk/CKCIdPYiYpkHTYjgYH6vfKGrXoJJyELdTDmLQ85JkW0kh0AwTemRPPUK7J4Jk2kAqFqveTOpEckuwtAg0w4CelPSFXt545pOZuBsQaIP1E4RQ2r9XGiDQ0qH3rQUItME6ymCBtleyduC1V+WxHNUsQKAN1k/0CmZYDtuRQKuad2V9emYBAm2wDq4/gDaPZNLJte2ZNFmQQhYg0AbrJwiitH+vNECgVcixsiq9tQCBNlhH2R9A21tNsjT1LECgDdZP9ApmWA7bkUCrnn9ljXpkAQJtsA6OQNsjIbMYTy1AoA3WTxBEaf9eaYBA66mrZOFBWoBAG6yjJNAGqX7uu1MLEGiD9RO9ghmWw3Yk0Hbq9bhe6CxAoA3WwRFoQ9dlBrLCBNpg/QRBlPbvlQYItAPpwgfjoAm0wTpKAu1g9LOwHyWBNlg/0SuYYTlsxz4GWtdD1Lf0uCVYqSTGao+RLMEyrdp74LfcnCsoaQECbbAOjkCrZLdgpZosQKAN1k8QRGn/XmmAQGs7N3klZgTRqLweU/66geEm78ifyliAQBusoyTQKtMVWJFNLECgDdZP9ApmWA7bsU+Atoh0LAJNN2CmYoibyy4oXUY2qcMwU4jGTdhL0jFEZd10HJGUvP6yArAFK9G0LYC8AU3eJqRFUHkcpQVtTwS6aUCLRKHpaRh6FDF7n5W3DyUMA4lIApa8fIh/gVmAQBusgyPQBiZ97rgLCxBog/UTBFHav1ca6B+gjadq0dWUlsayO8q6PAcrayJxQIMl+JqOV9/z7kRinU95laWGsZLzW7xiGcV8FtlUDBH71Zb1NwfVy6nOK48hHk0hm80iqx+svjqzC8/KVXtqAQJtsI6SQNtTObMwjyxAoA3WT/QKZlgO27F/gFZz0gUK0DWz/t728hg0bQzLZdiwWgFarfpOdgdcnU8ApSwSiRSS1fIKqRhSc2Wh4Oq72t1A65RTnVcyEU9YKJVK9sQArUcjUIfFEmiDdXBBAm3JSkHTNGjJNCy5LOM+wd1SP61z6K2042O2LIArhMgCBNpg/QRBlPbvlQb6B2gjBxDTDRiJCBJWqT6AlS0kIhoMU0dkjxOhdUDUAVnns+KFS1kN/9+ByuBVTEcRTRlIawdaRGidchzILcFKRBCXFAVdR9YeSEPk2fuwqn/6059w/PhxzM3N1Y5u+eYnmLxg4dJMHgtzs1hcmEOvOhTLqTvnIIG2mHb6ZgGpWAqFroC20R84wiHQOpbor08Cbb3P0n/RFmHWQP8AbS1C21/OlkezPQt8+eWXuHv3bkMhBFp/nLYaQLsMI5pAvga0nefUyw2iZSuBSEJy83VE6WMa+lG//CDQ+uMPwgxKrHs4NNInQLsMI2nYN3z1i5PlcXhnAQKtP84pWKA9iD0HIogcjELPu67YiKw6zqkvY0wTGJa/MsZ0phx41yuDK5lA648/IBTSzl5rwHOgvXNnFZ99VuZEGyijgZtLS0w5WPTeuQYLtE7KgQNK1TSCrnLqSzA1HfIcFKAEM0GgdazZT58EWu99gdcgw/LZhqIBz4H200/v9ZPv47H0gQUYofXH+akJtN3l1JcsDRHNgKEnEWPKQR/0/o2HQKD1xx8QOmlnrzVAoN3o3zinzy1AoPXHsQYJtH0uYR5eDy1AoPXHH3gNMyyf7Uig7aFjZFHhsACB1h/HR6ANR38Y9FoSaP3xBwRO2tlrDRBoB92bD+DxE2j9cawE2gHsXCE8ZAKtP/7Aa5hh+WxHAm0IHTCrvD0LEGj9cXwE2u3plFv7YwECrT/+gMBJO3utAQKtPz6Te1HIAgRafxwrgVYh0bMqbS1AoPXHH3gNMyyf7UigbevmuKBfLUCg9cfxEWj7tQf113ERaP3xBwRO2tlrDRBoO/LN97By57OO1uRK6luAQOuPYyXQqt8XWEOAQOuPP/AaZlg+21FRoF1F7swCDr0xD+3Uday09Lq3ob/xIYpwPluu1IOZn2HxzDy04/PQrxFqe2DQwIsg0Prj+Ai0gUudFejAAgRaf/wBgZN29loDCgLtHZx6Yx7jd+5XXZHz2eyZHJB1PpuX9+J3BWYrIOv+3ouyWUZQFiDQ+uNYCbRBKZz77cYCBFp//IHXMMPy2Y7qAe2ND3HozO0mf7SOXPoShs98hJPHZ6FNytvHHJB1PoGidRkj73yEkZ9fwqk7ACbn8f1fXoZ+9gq0xGXkAKzNLuBQ+iOczEjkt1Ku9o4sX0CuIQB7347MNkZlK1B78kY7yG6qNn8qaQECrT+Oj0CrpPxZqSYLEGj98QcETtrZaw2oB7Sz8zh0dr3R5Xz2EYaPL1Xn3cTIG1ew0gJo8dkdTM9ew6njeQxPVoD2kFWFT2sew7PASuYSDr1zEysCr599hEM//xBnrGs489uZyjbVvaxkFtAaXAV0F3DqVmMV+Ss8FiDQ+uNYCbTh6RODXFMCrT/+wGuYYflsR/WA9s4VHHrjGtbcHvbOFQynb1bntAPadZw5No8zt9btyKwDtPanRGbPzkNbkCLuY+3GdWg/X8C07Ov4dazcuWtPaw0RWncF+L2fLECg9cfxEWj7qdf077EQaP3xBwRO2tlrDagHtLiPlbPz2PvzS9COzWP4t9dqqQGVlINLOLogEVwn1cD5XEfu+AyG37mCkcRULUL7TGIBJ9+5jKFfFrAIIHdmvpKC8EYBRdzD+PHZSipD+jLGGXXt31HLdWQEWn8cK4HWJTp+VdYCBFp//IHXMMPy2Y4KAm0P/d7kfEMaQQ9LZlEhtgCB1h/HR6ANcScZoKoTaP3xBwRO2tlrDfQ30M4u4OjsAHlmHmpHFiDQ+uNYCbQdyZErBWwBAq0//sBrmGH5bMf+BtqAHSV3r6YFCLT+OD4CrZr6Z60aLUCg9ccfEDhpZ681QKBt9G38NQAWIND641gJtAPQmfrgEAm0/vgDr2GG5bMdCbR94JB5CN1ZgEDrj+Mj0HanS64djAUItP74AwIn7ey1BjwF2ovnc/j0U3kJAv9oAXUsIEA7dfE8Ls3ksTA3CwEvrzvaIJZPoFVH86xJewsQaAlag+if+/GYewq0YqDFhTkbEgQWJi9YuHf3bntPwiW0QAAW+GTphg20c7PTuDx/iUC76M2A1gpob99ewfraGifaQBkNiD+Qsco5wZUxrB8Hex6TN36OdlXHrj0HWhnEBBIEFqanLmJh7hI+//zzALCFu6QFNlpgfX0N+amLtjYJtN46olZAyxPcjZrknGAtcGv5JoHWo5Nawp63Ppb2bbSvZ0A7f2kGs9NTdiRs4twHeH/8Xbz7zl/wzl/+XJlG/4x3ONEGXmvgL3/G2F9G8d7YO8hm3kPu3Flbk7MzeYhGJRoj4EXH0OgYemEPAm2woMa9d2YBAm3v+34v/AfLYLt0qwFPgNaddjCTn7QB4rw1AWviLHLnPsDE2Swn2sA3DYjmzufO4YKVQ37ygn2iJdFZyZ8l0HrnNAm0nQEV1wrWAgRa73xAt0DC9dkW29FAz4FWKiMDmaQdSARM8pIkUivpB3IjjuQqXTzPiTbwTwOiOdGeaFC06OTKMX/WW+dJoA0W1Lj3zixAoPXWD2wHULgt26YbDXgGtBL5cqBWomFyiVdgQiK2nGgDPzUgunNA1onMOjAr0NVNh+G6nTtYAm1nQMW1grUAgbbzPk3/R1uprAFPgFYO2BnMBBxkksu7ErEVoOBEG/ipAdGdTKJB0aKTZkCY9dY5Oz5A7C4ntBesCT71JFh2495bWIBA660fUBmAWLf+anvPgNaBWmdQE4hworYO5PKzAvu0g/d2cPQnenQmOjNvnZnT9wm0LSiKs5SxAIHWWz9AP0v7+qUBT4HWfRAORPCzDlS0hf+2cGuS3711tP0LtPexcofP11aGSLdZEQKtt36Afpb29UsDvgGtXwfE/bDzUANqaKB3QHsPi2cvY/iNeQwfu4LFNgBTPDMP/QaAyXkMT7ZZaduz72PFWoB2fB5HLULtts2pQAEEWjX8Bf0222G7GiDQ8oHSvCmKGvBEA70B2vvI/XYW+rXPquhzvy0CeQ+0FZitgKz7e9sqcUEILECgJUhtF6S4vRoaItASZjyBGXZwNTp4kO3QG6C9huE3rm/AorWFyzh07EOcemce+49fxxqADUC7UIB25iOcPDaDowsCwtcx/C+XMHLqI5w8PluZ99l1HH3jMk69cwXjdwApd+j4FXu5NrvesN+1yYWmqGwVaifvNazHH+GyAIGWvipIP8l9905/BFoCLYGWGvBEAz0B2lsFHErfbCKkdZx5YwG56tzF9DxO3WkBtFhHceEazpyaxf4ztytA+8a16lbXMHzsOnDnCg79soDpOxIBlnJnMWJdwxnrMva6QXrhQxxtA65rk5cxslBuqiN/hsUCBNreAQXhjLYMUgMEWsKMJzATpKi5bzWcak+AFks4+vMPm/Jm7+LUG5dr89oB7WL6EkYKnwI3PsRwDWir0d7PPsLw8aUKc312C+MSsS1IuQsYv3PXvulr5VMnzSEsaMZ6PogFCLRq+Av6bbbDdjVAoCXQEmipAU800BugBdYKlzGUuATt2Dy0NwqYRjU14I1KysFQeqllykHxzCyG0legH5upR2hjszh65gpGfnkJJ2/cBxYKGJa0hOPyG1ibnMd+u9zLGJm88yB8xG1CZgECLUFquyDF7dXQEIGWMOMJzLCDq9HBg2yHXgFt7/joest83N6Vz5LCaAECLX1VkH6S++6d/gi0BFoCLTXgiQbUA9qPcfS3H4eRuVhnDy1AoO0dUBDOaMsgNUCgJcx4AjNBipr7VsOpqge0HlIRiw6tBQi0avgL+m22w3Y1QKAl0BJoqQFPNECgDS3jDVTFCbQEqe2CFLdXQ0MEWsKMJzDDDq5GBw+yHQi0A8WFoT1YAi19VZB+kvvunf4ItARaAi014IkGmoH24vkc7t3j62JDS359WvFbt5YxecHCpZk8FuZmsbgw50l/ILj0DlxoS9qylQYItIQZOm9qwDMNCBwIJAgsCNDeLZX6FIt4WGG1wPLNm5i6eL4GtHIi1mqw5DxCFDWgtgYItIQZOm9qwDMNCBxcnr9kw0J+8gKufLgYVu5hvfvUAvNzlzA9dRFzs9O2Vgm0akMLoZLt004DBFrCjGcw0050nD84DskBWoGF2ekpO0orkdrp/BSmpyaRn7qIqUlOrWwwefECzudymJnOY2lpqaOpUCjY28i2rcrkvIu25kR7osEL53O2JkWb85dmCLQcDzkehlgDBNoQNx7BcHDAMKxtLUDrTjuQSJgArTVxFhNnszj3wfs4m83Y0wfvZ8CpboP3M+/hndEzuHDhPIrFYkfTwsKCvY1sS1vWbSm2cHQmmsud+wBW7pydOzuTn6ylG4hWGaGlXw2rvx30ehNoCbQ8I6UGPNOAwIETpZUI2OxMHgIQkrMoN+JcPG/ZUbIL1gQ4NdpAoCvz3hhmZ6Zx69athumtt97Cd77znYZ5ss7Vq1fsbWRb2rPRnhKNrURkLVt7kgLjwCyjs4TYQYfBfjh+Ai1hxjOY6YcOwmPY/kDnRGkll1bAQW4Qk0u8AhMSsXUmAQxOdRtIJPvsB+/j8sI8SqVSbfrbv/1b/MM//AN27NhRm+cs//jjor2NbEtb1m0ptnB0Jp+iPTm5Ei06MMvo7Pb7Ov0lbRikBgi0BFoCLTXguQbcUCtPPRCIkLxaAQpOrW0geZ7nc+dwpfAh1tfXN0wCtM3zl5dv2tvItrRra7uK7mQSDYoW5USLMEsQCxLEuO/e6I9AS5jxHGbYWXvTWcNuRyf9QOBBIMI9CVhwarSBAKlEWq99dBWff/75hkmAtnn+7dsr9jayLe3ZaE8HXh3diQ4dkBVthr1/sf70s4OuAQItgZaOnBrwVQMO2PKzkl/czg4CYHKp/OPidXz55ZcbJgHa5vml0h17G9m2Xbmc32j3MEMA27KxLWkP/+yhYr8h0BJmfIUZFTsB68TIhooakEii5Hve+LjY8gmwArTNf3fvluxtZFsVj4l12l5fcwObE2HmZyXSTjv4bwe3HlXo2wRaAi0HPmqAGlBQA1sB7U9+8pNmngWBdnvAqMKg3K4OAg9OisQnSzdwa/kmJ9ogUA3I1SPnREL02U67fs0n0Co4kPnV+NxP/w5+bNvwt60DtJJD2+kfgTb87d6q7zowKzeySd40/2gBVSwgaU6S4uScbLXSr1/zCLQE2sDPqvwSO/fTn4N9v7arDBCVZ/ZegDy9wHk0l3yu3LqFpRs3Guat3r4NeY2rbCPb9qtdBu24HJgVaCgsXlaFY1gPWsC2wBdf3LefqCIn4EFDLYGWQMuBjxqgBhTUgAwOlScdWPabrc59IG9Wq0ynfp/Gv4/8svZb5svLFORFFbINgbZ/Tt4EaAUW5FFjhQ8XiVG0gHIWkFx/uXpAoFVwIBm0CACPt38GP7Zl/7SlgIxE5QRQm19C8Wfzj/iN/qsNLwtwHtcl21IL4deCOzorLyP5kBFa5WCOFYL9ZBU54ZITryB9DyO0BGoOfNQANaCoBhygkciHDBbO9N7YKFL/8Zvab5kv6wQdISFE9xainfaX6NeMAO3lBfITLaCcBeQ15s7JdJA+iECr6EDGgaG3AwPtSXv2kwbeHx/D7357gicife6/BWjlZMUGWsmNvjyvHMywQrSAvABGXiUddNoBgbbPHWI/DeI8FkIpNVDRAIF2MPqCA7RyOVfyFAm0hEcVLXDBmoCkxBBoCZSMslAD1AA10JUGCLSDCbSXF+ZU5BnWacAtQKDlANbVAMbI1GAMYGxntnMnGiDQDoZO3BFaeQ3yZkC7dOJFPPz1hx5oeunE0oAjGQ9/OxYg0BJoCbTUADVADTyQBgi0BNpmALGB9vAoVldXu5pGDz8EAm2zNfnbsUBxsfWrt53l8kmg5UD2QANZJ9EbrjMYgx3beXDbmUA7GG3fdYT2iWexc+cLXU3PP9EKaJeQ2vcQYrk6ttjAfGSiPoPfQmGBlelxnBzRoGkatJGTGJ9e6bzexZP4/o7v4+QWTEugJdASaKkBaoAaeCANEGgJtM1U0tsILYG22b6h+70yDm3vXminplFcWbOrv7ZSxPQpDXv3ahjvgmu3OnYCLQeyBxrIGJUbjIGM7dxf7SyRNuc5sc6zZJs/neWy7lbtT6DtL320a++uI7TNEdTVeWROvI6fxeP2NHIig/nVRjzJHek2QnsVpw/vwvPPvYCduw5jVNJvr57Gq7tewM7nnsLOV07jKoAKYMfx2s5HmNLQaHLvf62NY3hIR/v3yi1CHxrGeIVzt10fAi2BdstBq52T4/zBGMzYzv3RzgKq8jib2ek8Fi8v4PLCfMtJlsk6zqNvNmt/Am1/aGOzNpZl2wLa1dN45YkXMBQ/gdFMBpnMKFLxl7HziR/jtAtquwbapRN46bmjyNcw6CqO7dqFY/Yjctcx+sojeDWzXgHaZ44g49pXbRN+8dQCOW0IJ2sR2BWMa/vx/b3fx35tHPXZJzGkuXJK2tRobW1r6iXQEmgJtNQANdDnGhAgEUAtXr/WZrjYOPvaR1fsbTaL1BJoCbTNytmQ4yrg+fXH8fwPDlcjtEcwtOspPPb1F5FyPdSgU6CdP/ZCNdK6jvyxl/G9bz6Fl17LYAkTiMl+XLm7r5xeqgDtkUxzNfnbcwvkoA2fgYOhK6cOYbgail0bH8ahUw7SruHMsIZNkXblJPbu2OuC49aVJ9D2+UC21Zk3lw/GgMR2Hux2luisvEHn3r27DSPBxQvncaVQsCf57v5bXb1tbyPbttMPgXYwdLWtCK0A7e43kZnKIDM6WonSTmVwbHcnQAvkjjyCbx8ZhR1gXc0g9lwl8lrX6lUc2y03jk3htWdewMhUfYl82wDYjYv5y0MLuIOqRf0QdCf3YFHHId11h5d7xTb1YYSWsNp2IGo3QHH+YAxQbOfBameB0pn8JO7eLdWGi0uXZhH/n/+jBrTOd2cFWVe2IdAOllZa+YZtA+2+E3AFYwUzkdrXGdBifQoj+ySi+xAefuJZ/HBkCusi0qXTeFWisc89i+eH0na+7PrU63jpm4/jaTtK+2OcXiLQOv058E/Jp917CPpJHYf29i5v1n1cjNASegm91AA10OcakBu/5JWlDtDeuPEx/kX7pw1AK/NkmfzJurKNbNsKcmQeI7SDAbuBAq2bWPg95BZYw8rKSi0NodcHQ6Dt84Gs3UDE+YMxELGd2c6iATfQumHWicpK2oF8l8mB2k6A9oPMe3j7P3/XFnipv/7Q37aAdj2DVx+VyGoaGfumsAzeHtmP5x89jIwdaq1gTesc2l4jD8sLpQX4HNr+cCQcENiO1AA10KkGTp/6Pf7b+MOGyfh9Gm/97re4efMT6G/+qgavrYBW5sk6sq5sI9u2KvMP6beQ+o/fEGYHICiyLaAVglqdx+ixIxja/QJ2ys1hx0Y7fGxXKPGLlfbAAnxT2AA4mk4HOq5HKKIG+lsDv3rj3/HuX0Zx5k+nN0x/PH0Kf3j7LSwv38T6+hpGXv9FDWqdm8KcCK0sk3VkXdlGtm1V5vjYO4TZARljugZavvrWA6RjkVtZgCkHA+KQCDP9DTNs38FuX+MPb2P83faA6U45kEHh9u3b+OcWObQyT2BW/jpJOaDuBkN3XQHt6R939cpb9yty5TFb/KMFHtQCBFoCLaMs1AA1EHINnDj+a3yQGW/bjs1AKwOG5NIKwDoRWvnu3BAmywm0gwGrnZyUdAO0Dwoj3I4W2K4FCLQhH8g6cUZchwMTNdDfGvjtieMdAe2d1dsNY4YArHtyL5R1t3rKAXXV37py2pdA6+4Z/K6qBQi0BNq2UR3HmfFzMAYttnN423kroHWeQ/vh4gK++OKLLccjWUfW3eo5tNRMeDXTTdsRaLfsMlxBAQsQaAm0BFpqgBoIuQY6AdpLM3lcPG8hd+4DnPsgu+kk68i6ss1mL1boBoq4bnjhl0CrAK2xCltagEAb8oGMg0R4Bwm2HduuVxrYCmgFSBbmZm1AlairpBJsNsk6ArOyjWzbq3qynHBqnkC7JUtxBQUsQKAl0HKwogaogZBrYCugFZAUKJFoq0xyk9hmk7MeYTacANrrE4dmoL3y4SLurK5wog2U0sDF8znMTk9h/tKM7eeC8l87et0BWR4dMTVADQyKBjoB2kGxBY+z9/2+GWgvL8wpEI9jFWiBRgswQhvyyAydd++dN21Km4ZNAwRaatZLzRJoG8GJv9S0AIGWQMvLzdQANRByDRBoCbQEWjUhi7XyzwIE2pAPZF46MZbNQZIaCIcGCLThaKew9idGaP2DMu7pwS1AoCXQMjpHDVADIdcAgZZA6yUsE2gfHLK4pX8WINCGfCDz0omxbA6S1EA4NECgDUc7hbU/EWj9gzLu6cEtQKAl0DI6Rw1QAyHXAIGWQOslLBNoHxyyuKV/FiDQhnwg89KJsWwOktRAODQgQJvNjPPEhP7cEw0QaP2DMu7pwS1AoKUD9MQBEoTCAUJsp/C1k8CF8+ID5+UI//GbXyPz7ljtZQnOclmXbRy+NlatzQi0Dw5Z3NI/CxBoCbQc8KgBaiAkGhBQlbfgzM9dwuLlBVxemLenP/3xNKyJc7Xfsmzq4oXaG3NUAyTWJ1yQTaD1D8q4pwe3AIE2JAMZB4BwDQBsL7ZXrzUgUCEwu7Jyq2OPP39p1t6GkVrqcTt6JNB23OW4YoAWINASaBmdowaogRBoQKKzszN53Lt3t+Mh48bHRXsb2XY7QMNtBxuICbQddzmuGKAFCLQhGMg4mAz2YML2Z/uLBgRKZ/KTuHu3tGHI+Pa3v40zZ85smC9AK9sQaKmh7fgRFYC2mE7DAlAa06DnN0i9xYwi0loaxRZLNswqmNDSedR6VsGEWdiwFmcobgECLYGWkRtqgBoIgQbkBrDpqYs1oD158iRkkj8HaFdWVvDTn/4U8il/ArSyjWy7HaDhtoMNxCoBrS3sjv51AbSWhoOROBJWuVKypUETeuZfqCxAoA3BQMbBZLAHE7Y/21800Ay0i4uLNsgKzP7N3/wN/u7v/g5f/epX8ZOf/IRAS7/e0xOYwIC2aCAWS8E0dMQP6naEFlXYLFtJxHUThmnZkdViOoaIpsMwU4jFTSyjDrTL2SR0w0QqGoe5XMaYloAd5C2PQUvkUSmziHQ0WZlfA9plZJOVMqN2mUAxHcEBLQ1DjyIaT0I3DWgHq+UVTcTjKRipGGJGR7HhUAGj6pUl0NLx9dTxEb4IX9SANxpoBlpncNm7dy927NiBv/qrv0Iul3Nm25+M0HrTFoOmcBGuNwAAIABJREFU8aCAtqBrMKt5AAW9EWhLZhwxYw7LVcUX03GkqgxZTGlIL9eBFljGnJWFmThgR17LYxqEY8tjSaQktcAB2GIacZnh/Jayl+dgZU0kDmg2UBfTGtL2fixo8ay9d2deQY8iYWaRzRqIxzpMd6jWnx/btwCBlkBLoKUGqIEQaKAZaCVnViKzArTf+MY38KMf/ciO0L744ouM0IagPcMExUEBbT6hYayaBZBPJBoitII/5aKFRDSJOUjk1AFNoALCDtBKRFbD2HLZBap56PoYDC0FO1XWBbACw6lUvJJyIBFcbQyVTVsAbTUvwdl3PhGDUSyhVJKpWvHtcxpL6NACAwO00iE50QZBaCBMAxfrqm5ErxXQOhFZJ4dW/P7IyAiBlkDb05PUoIAWxTSi0RSMdBJaU8pBXgDWNJCIG/aNX3YqQEyHYSQQSUgaQh1orUQEmmFCj+yp5cYWUvsRMarxXRfQQrY78J0q0FpIRDQYpo7Inq2BVuobiyRhmGkkDMFs/vlpgb4FWje4yB2+nGiDIDXg1iOhsREa3bbh9/YnnQtzs8hPXkCpdAdffvllw/TMM8/ANM2GebLOx8Xr9jayLW3b3raObdg3G/umYw+xj5xQzc1O23q6vKAerDlR0k4Byh397XQbrqe2BfoSaKXzCbzIQ8g/XFzAR1cL9elKAR9xog380IBLdzIYyCS6FH06A8UgfzoQITYR2wh0cWpvg0szeVw8n8Pt2yv4/PPPO5qufXTV3ka2pW3b29bdN9k/N0Kt2ERspDLQLhtJOAHXzbFrGVYqgYTJm7Y2t1P4lvYd0ErHc2B27dNPw9cirHHfWuDmJ0s2VBBqF2yod0D24+vXsHzzE3sSG3FqbYNPlm7YEdeVW7c6gtnPPvsMH39ctLeRbWnX1nZ1tCc30Ikmnf5JsK2DbRiAtm8HDh5YxxboK6B1YNa+vLa40LERuCIt4IcF7t+/D4mUuaNBgxihdfqpRHt40umH8riPTi3w2Wdlu486UDuI/bPVMRNoO1UQ1wvSAn0HtM5lkUJhMUi7ct+0QEsL5Ccv2qkwgzpgOjDrXP6WPE/+0QIqWUDS1ESfg9pHCbQqqZF16cYCfQO07oFydnoKhcXL3diB69ICvlhg6uIFOw9NTrxEs60Gj36e50R6JL9dotX8owVUs4Dc8CRXDwa1j7byP06/VTmHVjUdsT7+W6DvgFYGypnpKftmMP/NyT3SAptbYPLieRvkBjUCJFEvOXaBWTnx5B8toJoFFuYv2doc1D5KoFVNkaxPpxboK6CVM2obaPOTWLzMHNpORcD1/LPAxQsWZmfyA5l20HAVZSaP6alJ/wzPPdECHVpg/tKsHRSRsYRpB5Ubwxih7VA8XC1QC/Qd0MolkempiwTaQGXFnbezgDx2SSKTgzhYOkArxy42kHxi/tECqllgToA2P2n3UaYdEGhV0yfr094C/Qu0C/Ptj5pLaIGALDDoQOtcRSHQBiRA7nZLCwjQSlCEebR8bNeWYuEKSlmgL4FW3qazuAnQ5o48hIe//mBTLKdU+7EyIbOAKh2uVZ6c1/Ocy5ZOWtDU5IX2rbd0Ai89YB99eN8JLLUvmUtogU0tcGl2hkDb9Opgp+/yprBNpcOFAVtAlfF1x3YH0+YOtxXQ7jk2hdXV1S6mKRzb/RAItAErVuHdFxe3fvOMKh1uu/3tQbZ391G5pLs10B7GaFd9dBWro4dBoFW4k4SgagTaemTW6efuvisBoyBffVsa06A/8ANSCjC1NPIlR4gFmGbB+cHPkFtAlfHVd6B97JsvYOfO7qanH20DtOvzSB3eBVkukd8nh04zQhS6jrGGYu4U9KMaNE3DUf0UcsW1zo+ieBLf3/F9nNyCaVXpcM5A5eene1DsDGgfx/Nd9tGdzz0eUqBdx+rqeud645oPZoGVIoorm29KoFUbaDdvva2WWtAORhBPWCjbq1rQNGurjbg8JBZQZXz1HWh7F6Gdx2vPPYKXjk1hqYPxaOn0y3g6PhESeQxGNdemdQztHcLI+CJWqgy7trKI8ZEh7B3SMd0F125lMVU6nJ8g6+yre6DtVYR2HrEN6QsvIrVlXsISUvtanMTmjtRTlh59Cjt/cBSZLcvaQhm5OB7b+Trm0WafW2w+MItXpjF+csQ+6dS0EZwcn8YWfNpgmtzwV/CV4c3zxgi0CgFt0UAsloJp6Igf1GGjp6VBs8oY0xKwA7XlMWiJPFA0EY+nYKRiiBkSWSgiHYtCN0yk4xGk7EBsBWCL6SiS9sZ1oF3OJu11U9E4zGUAloY9ER2moSES1aCnDejRWGUZijDjcaSMFGIxA1vEMRo0yB/eWUCV8dV3oH3pRNMItDSFt4/F8bN4ZTqWnmqKsrYeaFZHj+DhH6SxuqGNVjF6uBIBfvqJpzCUvgrkXsfObz6Ch594FjtfkSjuOvIjL9qR4qe/uRsjUxUiXho9gu898RAefmI3Xhl6AQ8fqQDw+tTreEm2lyjwriMYlUOQwXXfEbz2g8fx8JEMMocfwQ/T1drMv4mdu97E1Q1144yaBRZ1DA2Ptx8UV8YxPKSjV++dU6XDOZDp52f3QHsEjeixivnMCYxU++jPRk4gM9/U8+z+0C6HdgKxr3cCso46Wvf5Sp9z9rGOq6OH8fyjL+N0U1WcUuQzN/Isftjsc9wr1L632Wdt+aB+WcG4thd7tVOYLq7APsdcW0Fx+hS0vXuhjXeDtZvbkECrDtAWdA1mNT2goLuBFiiPaRCOLZmaDasFPYqEmUU2ayAeS6MoQBtPVWCzmIaWFux0ALayrFD7LZpYxpyVhZk4ADtoa4OzzHeV48wr6IgmTGSzWRjxGOyiN5cVl/pgAVXG12CBdv51PP/Ebrx6LI1MJoNMJo1jh3fjyeckYuL8tR5olk7/GHtObIGM869j5zNH7bPJpRMv1gE1cxhPHh6FjbGyjsDnegavPvoiUnaR68gc+VZl/Yb5wNUTL+KxV05j1Y4WvYhj1SqsZw7jsSpg51/7Vh1uncPgp8sCKzg5pNWhaW0a+qG92Lt3Lw7p05VBU9bOaRg6ufWAuba2dShXlQ7nJ8g6+9oe0K7i9CuPY+dQHKlR6aMZjJ6IY2jn43jFTZIdA22LE05cxenDu/D8cy9g567DGF1y9fmrJ/DSE9V+uWEf6xg9/BCG7HpsPEkVH/H8Ew/BTnMamQDm38T3JJXiucfx5K6jyK0Ddb/g2qdLqYP9dQ3jw0PQNzmrXNSHMDy+df/rxI4EWnWANp/QMFbJDUA+kXBFaKUl89B1E+mkAQmo5hMxGMUSSiWZZKMi0pqArXxtBlqZl4KWSiFu06tEfDWMLZftyOwGoHXKcYA2n7CjwJV9larpC52oi+t4aQFVxtdggVYGqEefwveGjlQjtIfxQ8nF+7o7QtR6oJHB6mEHShtaah35Yy9jz+7d2LPzKTxWLas+cFUGscZc3teRk7u7d5+oRVVr68t8d7T16pv4ntzNLXV3rQ9M4bVnJFokn/vx9iZRo4bqDuKPlVMYHqmPktNH99cGzUV9P45OO0ZZxMjwqfZRXFlt5ST27tiLrbhXlQ7nQKafn9sD2kr/e/K5/Xi1GqGNDVXy1huutmyATacN5bNNhNY54ZQ+9lzlxLOyVbXPj04g9tyziAl5yl+LfciTU6QeckK54STV3qSyvFKA838do69UQLjWz5ly4Bin/tl0QrkyrmH/9/fi+/s11AOzTSen9a2bvq3VT1Sbljg/CbTqAK2AaDSagpFOQmtIOai0Vl7fD80h3mIasUgShplGwpjbGmhtzj2A71SB1kpEoBkm9MiejRHaZqC10xkiSEo6Q8KA7I1/wVtAlfE1eKA9fBrzuQwyo6MYzWSQmz+NVzsAWtiR02fxyompxrSDqaP4tgOgMmA2AG3GbvnV0y/jYYmyunWwehpDclm0kwjt4QzWWwyuV4/twtDhw3helrvL5vcmC6zBHVQdHz6EcWeN8UMYrv0AOom+drKOKh3OT5B19rV9oN2NY5kpZDKjGLWjtFPIHNttg6TTbK1gs7asAWhbnXBW5n3vm0/hpdcyWKrCpdw8+vCQq59u6HOrePsHj+DVzLodad1wktoMtFdHEfvBLuzZvcuO3AoIE2jrrdT8LacN44wTfF05hUPD49WUg3EMH6qfaK6dGYbWmKPSXBRy2tfwtS1WItAqBLS1FnTlzNbm8Qst0GgBVcbX4IG2mqdaN49Ec7aO0NrrywC1T6Kw8pSDR/C0POVgfQKv7XocT+7chVfiR7DHKWspjR9Kfuy+NJaqlziflJxauQQplyMBXE2/bD8x4bGdP8ZrR3bXUxRqObSP4Ol9ryMvtLphcIWEfvHS1x/hI8bqjdnZN8mn3XsUJ08etW8Gq8duO9u8k7VU6XAOZPr5uX2g3Zj/KiD4QBHaNieclTa8Wn1EXzVCm7mK1L7H8ZKTWtTQ51aRP/Fj7Nz9pp2e1PIktQq0ldSkVZweegiv2ue0lQgtgXaLnuM+6yzqOFTLPViEfkh33ZCzdfQV2HodAq1CQDuXRkzTkZCbu+rP2tpCMFw8qBZQZXwNN9B6ph7J83Pd5NXpfiRHr5qz2+kmXK9qgbUVrKxUbzrxwCiqdDg/QdbZl1JA2+qEc+k0XrVzW5/F80NpXHVf/l93pR0I0DpPTXjiWfzwSBrztUshlTzc5pPU9dxR7Hz0ITwWn8CSnLA+8RR27juK2CuVVARGaDvtbJJPKznuJ+18917lzbr3TqBVCGjdDcPvtMAWFlBlfA0WaCUf9dFdiJ0Yrd4UNorUkV14zEkZsI3YOod2C/s+wOIlnB56HE8+9yyelLzew6dr+bSdFCa5fI9988XaExM62Ybr9MACfA4tHHBt97k9oF23n+Dx/A9ex9v2jZsZZNKv44fPVS7111qwIXpam8svfWaBtZWV2iP2en1oBFoCba81xfL8sQCB1rHz0gRSI4fxw50vYM/QEYycmOjosV3O5vykBfimsI0DoRtutwe0oq9VzI++idjQbuzcKTeHvYnRrh7bRY0OugX4HNrN+6i7v7q/u/tu0G8KG3QN8/jbW2BggbZ3L1Zob1wuoQWaLaBKh3MPVn59dw+Knb0prFcvVmhuBf4eWAvwTWFbXklp5Q/cfZdAO7C9R/kDV2V89TflYKS7V966X5E7ssVdtMq3OCsYqAVU6XCtBi2v57kHxa2B9jRe6fa1t8769ktLAm1m7jzEFmDKwcYorrvvEmhDLO4+r7oq46uvQNvnbcrDU9gCqnQ4r+G1VfnuQXFLoFW4DVm1/rYAgZZA298K79+jU2V8JdD2r8Z4ZC4LqNLhWgGn1/MItC4h8KuyFiDQEmiVFScrtqkFVBlfCbSbNhMX9osFVOlwXsNrq/IJtP2i4v4+DgItgba/Fd6/R6fK+Eqg7V+N8chcFlClw7UCTq/nEWhdQuBXZS1AoA0r0M4hpZlYtl9pqyFdVFZirJhHFlBlfCXQetTALFYtC6jS4byG11blE2jV0iJr09oCBNqwAm29PYtpAm3dGoPzTZXxtedAW/hwEXdWVzjRBkpp4OL5HGanpzB/aQaLC3MQyGsFf/04rxXQfvnll+BEG6ikgUEGWumj4pdkujx/qTYtzM1ibnYacjOn+LCFuUv+UJKlYU9Eh2loiEQ16GkDejQGU8KwyMPQ0pVlybzEZZHW0varkAm0/jSPanvpW6C9vDCvmq1ZH1oAqnS4IIC5GWinp6awenuFE22glAYuz89heuqiDXACdYNy0ikQKyfa83OXsHTj44bpxsdFFK9fw0dXr+DywgKuFAr+eHNLg2bJropIx1M2rKI2DygX88hmU4hFBGQJtP40irp7UWV87XmElkCrrugGuWaqdDgVgHZq8sIgS4HHrqgFBjFCK9Buw+yl2ZatIhH0+/fvo1wuo1Qq4c6dOy3X6/nMGrzWYbUGtIUUYqk5lGsgW1+HEdqet0QoClRlfCXQhkIurOR2LaBKhyPQbrcluX2/WmAQgVais7MzeSzMt04lUBJoi2lEoykYaQ0HGKHt1+7Y1XGpMr4SaLtqNq4cVguo0uEItGFVEOvttQUGFWglP1bSDZr/VlZWoGlaMBHa5srwNy2wiQVUGV8JtJs0Ehf1jwVU6XAE2v7RFI+ktxYYRKCVXGHJG24G2h/96EfYu3cvduzYQaDtrcxYmgcWUGV8JdB60LgsUj0LqNLhCLTqaYM1UsMCqgKtAOfZ7PueTNnMe3hn9M/ITZxr2QgE2pZm4UzFLKDK+EqgVUwYrI43FlClwxFovWlflhp+C6gItBdyE/j1m7/Cid/82pPp+K91/Or//jv++7/+q2UDEmhbmoUzFbOAKuMrgVYxYbA63lhAlQ5HoPWmfVlq+C2gGtB+8P440m+d9PR51e1SDpzWJNA6luCnyhZQZXwl0KqsEtatZxZQpcMRaHvWpCyozyygGtC++5dR/P6t3xFo+0xnPJzeW0CV8ZVA2/u2ZYkKWkCVDkegVVAcrJISFiDQbmyGZ555hjeFbTQL5yhmAVXGVwKtYsJgdbyxgCodjkDrTfuy1PBbYBCBVp5D2+6xXdKigT2HNvxy4hH4aAFVxlcCrY+Nzl0FZwFVOhyBNjgNcM9qW2BQgVZerDA/N4vV27c3NFAz0N66dWvDOpxBCwRtAVXG174C2q5fu7dsIZ2MQ9MSSFmloDXB/XtoAVU6HIG2fSPPpTSYy+2Xd7+kBCul2Q+nT6YtbCi6NAZNz29dbKfrbV0S19jEAoMItM6rb+XRYOdz5zBxNotzH9QneVxYNjOOzHvv2o/3unA+t4kFuYgWCMYCqoyvgwu0yybiWhZbYaylabCC0Qj32kMLqNLhCLQ9bNQti6q/Yx72++cLW26x+Qqu8jZfkUsfwAKDCLTiDyTtYP7SjP0KXEk/ELh1pvzkBUxesHDemsDZbAYz+akHsCw3oQW8tYAq42togbaYjiGi6TDMFGJx046+OBHa5WwSumEiFY1XIj6WhgNxA6aZRCSeRRlAMRVHutjcyHkYWhqmoSGSzAMFE5F9+xDRTBRQhBmPI2WkEIsZkE3LVgKRhAEzpSOqpSvz8jpidhmyzLKBuVJXDSlrGrpmViC6kIJmbIgZNVeIv3tkAVU63GABbVN/QhHpuAbDTGNM2LJsIRnXYRom5AKJ039b9SvpQ1HdgJmOI5KqgGlZ+lrCgJGIIGGVgaKJeDwFIxVDzJAe6gLQZQPRhERjLWgHYkjafdqCpsnpahGmFqv4jFis6hc2rleykjiw7wDiqQ/wRy0BO7ZbHoNml9sjoQ5wMYMKtOITJFIrYCuTPMrLmRbmZjE3O23n2V48n8NCi1fkDrBkeOiKWECV8TXEQBtHqgqkxZSG9HJ9QASWMWdlYSYOwB6vLA3xbKXlnYirpcUwJmTb9Fcu5pHNphCLVADVWR8FHdGEiWw2CyMug14ZY86ghjLGdFnfPQ8o6BpMe6Cu17WQ0iAcW0glW+6/qTr82SMLqNLhBgtogcb+NIdkNAGrWO14JRPxmIG56nldBWjdfcjpV9K3nT7kQGoZY/EoUtksslkdBzULBT2KhCm/DcRj0h+LSB/cgwORCA5GdeTtyzEWNMcZCNyKgyjo0KSjyl8NUFus5wLk8pgG4djyWBJVvu6RUge3mEEG2nZ+QUBX4FagVqK1lxfmBlcgPHJlLaDK+BpioNVqEdY6OMo8GRA1jC2XAUurAa0NthKfqaYQlMw4tGxTwoF9WXIOZdfA5ayPfMKO+pRKJchURgmmpqMSKyrBTMgA6p7nBtp6XbFsIGmMIamN2ZFiZRXaZxVTpcO1G7i8nO8eFOWS5tTkBX9at0V/sk82jRjiNYAswkpEkZxzTkjdfcjpV84yqbYDtCWY8QSsan8slYF8IgajWOmfJZlRW9d9uE5UVuZVv+cT0JyzWzfQOk7DWa+hvDx0fQyGlqr6APc++P1BLECgXdjwzFt33/UTaMtWEnHdhGHKVUZXn3HGVOkLsQg0LQWrJFcz4jBME8lIHFn7fLXF1ZnIAWhpA3o0inhSrsxoOFi9urHhasuDCIjbBGYBVcbXEANtBAdiOgzDfWm/ArRWIgLNMKFH9rQFWhlYx7SDiMarN41k7RAvotEUjLSGA9UIbSF1ELFUvhLtiUWQNEykEwbkPLlkaYhoBgw9aacZ2GkIchk0LmkLCcT0fCW9Ie0CWonixvfY0Z3A1DeAO1alw3kJru3Kdg+KvgJtMd3Yn5bHkExKik4cuqQI5NPQ0iaMRBySIeCkHLTqV84yN6SWJOXH7ms69Gr/jUWSdkpDwpAe6sCvW/Cuwbk2UEs6Uczu26l4HKZ95afVetJ3DyI5VrDThgqp/Ygwbcht3G19J9CqA7QS8IkZc9UbKV19wQ208ZSdZmefGDpXPWrLm6/OuPpi7YqpM2/j1ZZtCYkb+24BVcbXEAOtGxJ9b7+mHRbqubFNSzb+XGZUZ6NRPJ+jSodrB51ezg8MaLfdqt30q23vrOsC8gmNaUNdW639BgRadYBWWqlctJCIJjFnn/jVcvYqQaKGk8UWwLvh6owDr/Zl0qYyNl5taa8SLlHRAqqMr6EF2mUjaeeiBtm4pWwC8YQOTW4+q+bzbl6fgp0OoVeS+TZflUt7agFVOpyX4Nqu7LABbff9qqdS6aCwZVipBBKddfoOyuMqYgECrTpAm5eriqaBRFxugC5jw1XPrYC2+eqMe/1aFLcOuRuutrBLhMoCqoyvoQXaULU2Kxu4BVTpcO2g08v5YQPawMXCCgRiAQKtOkAbiAC409BaQJXxlUAbWgmx4t1YQJUO5yW4tiubQNuNUrhuUBYg0BJog9Ie97s9C6gyvhJot9eO3DokFsidO2s/9mZ2esp+iLk839F51qN8Os+AFPhrB4ZhnU+gDYlIB7yaBFoC7YB3gdAePoE2tE3HiofRAsvLy/j000/x2Wef4YsvvoC8I73579byTQjo9hvUEmibW5q/VbQAgZZAq6IuWaetLUCg3dpGXIMW6JkFOgHaL764j0szeTtaG9ZobKt6E2h7JiMW5KEFCLQEWg/lxaI9tACB1kPjsmhaoNkCzUA7MTHRvIr9W57TKukHrcAwrPMItC2bmjMVswCBlkCrmCRZnQ4tQKDt0FBcjRbohQUcoE0mk/jud7+LHTt2tCx2euqinVsbVnhtVW8Cbcum5kzFLECgJdAqJklWp0MLEGg7NBRXowV6YQE30Mp3Am0vrMoyaIHeWYBAS6DtnZpYkp8WIND6aW3ua+At4ACtc1NYO6BN/Os/49+OJvCLnx/t2fTzowm8nf5dYGkMjNAOvPxDYQACLYE2FEJlJTdYgEC7wSTdzFiGacq72qt/5TwMs+D8qn3W3/9em8UvA2qBToH24vmcfWOYPO2gl9P5iXP49bFfBZKfGxzQul6J2Y3uam8S6mSjEizTQqlpVSudrr5nvmkBfyprAQItgVZZcbJim1qAQLupebZaWMZYPF57j3p5LF59N3TjdgTaRnsM8q9OgdbLHNrjvz6GibNZ3yO1fQm0Neitvz7TrW8Crdsa4fhOoCXQhkOprGWzBQi0zRbp9relIT5WBlDGmJZAHsvIJnUYZgrRuIllAA7QWpoGyy7fiRiVkddjSBgGEpEELCmGf31tAQLtJczNTkOe4jA1ecGntragHYhBT5kwEhHoebtTQksX7f07/RMlC4loAoaZxphcaKnCajEdhWZJ7LUIMx5HykghFpN3yxdgRvZhX0SDWagDbdlKIJIwYKZ0RDVGaH1q5J7thkDbP0BbskzYXdeljmI6XR2HXTP5tS8sQKDddjPmkdDGUC6ZiCVkpASwPAcrayJxoAKwzoC5AWjLY4hHU8hms8jqB1tGd7ddPRaglAWagbbVixXkhQuM0Pay2Sxo8Wy1wCw0zZKzzA1AW9DjMOQM1PmzNES1JJLZaiJBQUc0Ydr91YjHYPPwhgitc2IrhZQxphNoHXOG5ZNA2z9A64y9bu0RaN3W6K/vBNoetGc+oSGd1pCSqE55DJo2huWyBHg2Am1lWK1GaEsm4gkLpVLJnhig7UFjKF5EJ0C7cuuWHcH06jm0A51yIP1TTjyX09BSjRFa6cf2xRZHQzbQaohWI7nIJxAzio39dQPQlmBqOiqZ9CWYCQKtY86wfBJo1QHaOpDWr4AU03Fohom0fRll41XOYjqGiKYhZZVqV0dRNBCLpWAaOuIHdUZow9IZu6wngbZLg7VcvaBjz75UZRArW0hENBimjsieRqC1L0VqBkw9gj0SJUIJViKCeNqEoevIuqNDLXfEmWG3wAfZ93HeymHy4gVM56cwM53H7Mx0bZrOT+J87hxmPXxT2EAC7Z4IkmkDqVg1sooi0tEoUkYa2oFIJdoqg14kaacLjcm9nlVYLQnY2lBbRDoWQVIG04QB+3bQQgoHYynki/UBV9aPaAYMPYkYUw5C12UJtGoD7VwyioRVhB0AanGVU4C3eq5aA9qCrsGsXWgh0IauU3ZYYQJth4biarRALyww+mcT777zF2TG38MH72dwNvs+zn2QtSe5UUtgVtIN5i/NQG6iavWCgu3OGzyg7UXLsYxBsQCBVh2gXZYrn/aFlPoJo+hwec5ALG6i1OIqZz2qW79/xX31JZ9IMELbp52ZQNunDcvDUtMC2cx7yJ37ANLxpi6eR37ygg2wArFyo5REZgVmvUo3EBgm0KqpDdZKDQsQaNUBWsl1j0ZTMNIaDkQkfWcZY8nKVZS4bqHc4ipnK6Ctl5OExpQDNTqaB7Ug0HpgVBZJC7SzgDVxzobY2ekpG1zlGbOX5y/Zk0CsTF5FZp3ILoG2XetwPi0AEGgVAloKkhbowgIE2i6MxVVpge1aQIUOR6Ddbity+362AIGWQNvP+u7nY1NhfJXA0Q4nevSgn+6Htstl3MsL8/3cbjy2kFpAhQ5HoA2peFhtXyxAoCUTo2npAAAgAElEQVTQ+iI07qTnFlBhfCXQ9rxZWaCqFlChwxFoVVUH66WCBQi0BFoVdMg6dG8BFcZXAm337cYtQmoBFTocgTak4mG1fbEAgZZA64vQuJOeW0CF8ZVA2/NmZYGqWkCFDkegVVUdrJcKFiDQEmhV0CHr0L0FVBhfCbTdtxu3CKkFVOhwBNqQiofV9sUCBFoCrS9C4056bgEVxlcCbc+blQWqagEVOhyBVlV1sF4qWIBAS6BVQYesQ/cWUGF8JdB2327cIqQWUKHDEWhDKh5W2xcLEGgJtL4IjTvpuQVUGF8JtD1vVhaoqgVU6HCDCbTLsNJJxDUNiZSFEhpfpdmpXtxvIbK3KZgwC/WtS2Ma9Hz9N7+FzwIEWgJt+FTLGosFVBhfCbTU4sBYQIUON3hAuwwzriFbcsusR0BradAsd7mtv1uaxvfHtzaNcnMJtARa5UTJCnVkARXGVwJtR03FlfrBAip0uIED2mIK8XSxST5FpGNR6IaJdPwA9DlZXIQZjyNlpBCLGbC3KBqIx1MwDRNWCahEaEuwtCjsIpuBtvq7bCUR100YpoVSwURk3z5ENBOuYG5TffhTFQsEBbTyciDn9dfO67Dl8y9nTLx1MlV7RbbMc9bz+jXZMjjLtPHFRXaHUaXJ2tajZKWgaRq0ZBrWcvNqc0hpJjbMbl5NfpfGoHV86aV+siz7T47VfU/JqviRVrvgvO1bQIXx9f+x9249blxn3q8/wMwnSC4miHMRGxPEuXHmInFukmCAGHPhDAJYE8jKjd8BGumggbF4YTMBVHj1ogaz1zt779pywNjt0Rt3JRqVOk45VllxqiOLttrUoUuHZh/YB1GnslqmWmq2LFGx8994FrnIIpvsZneTVUXyaaC6inVYteq/nlXrV089tRYD7e7LkVPoEQXiUOEGDmg9AS1darAQH7ZuVaDVhiA6zZtIGi4ymQwcXYPtl5AWBoIRBL6tQxcGbEWmLYC26OrQnFy1sWQPbYP8Mf4ZBdASMC7m5jA3k8XKrY/rpqWFBcxMT9et82/ewPSli/KYMKC2V4G2FiKUh6VZIT1Q1oCW7heJZOXhlx6ZbVF+EI6x/fdy1uLQvjLQ9rIFcd63pUAcKtzAAW3RhS4yqIs4CMbQ+hWgzRrQHB/FYlFOJRThCrOuESwDbRKC3LX01wJoaVPJ92AkUyBfFgNtWa5e+B8F0JLHdX42i7W1exsk+tN7JzA/P7dh/fVrV+UxdKzypHZrHhXQ1gCwHhIFvVlJ01NlCVlTg+E4MBIGvBJBo4aEELC8YgAgC3CS9HBKb2YSEMKCV1RpBt/WJGDJh9UiPCMJo3oeD0LGFnkQQxpMy4VjJCrx8lk4wobrCCRS9Pir0q0AbN6DoZc9wdXryToQtgtHJCAPgQexJwHTdSASSQjThmMmobnkP954jRuMgVdIBeLQvjLQsjEOjAJxqHADB7QACmmBkaReef2YQSHQ6EABbaWxS1EjZjgSREuegYROjZWDTKHmYfHtCtR6AvsSopwufR1WAdwseWJcB4ZeDl3IWyPQLGpO+S/uCkQFtLPZy7h/f71Onj+8bUP/X/9TTpcuXqjbdutjH3TMoAFtLpWE4fmQ71xKaehJS75VyZgjMp6dHjqtSkXz7RHsGUogMZKEmaWH0MCbmeo9ILBO3QvyJnQnGIwQAFo9UymHTAVy6eE1i0zGgpaw4VfTrd0vinRfSAcBuwQ/m0HG0pAoxy5V06rlv3LOJtdYZwj8o6pAHNpXBtpqcfBCvysQhwo3iEDb73bF19c5BaIAWoqLnZm+hPX1suf/4cMHMMd+XYXZZlBLQEvH0LHd8syqdKPy0BZsUYHTmteTSrqQc6DpLor09sXwAm9VahBJ+1U9olXzCKajltVcHlAOP8oaEHVhSgGgVV+BltIQRhbIW9CsHEpVkK2lVzt/ERnDgJUqhxzkLQ1WTrqTy+cjD20l3doxlXVNrrF6ObxQp0Ac2lcG2roi4R/9rEAcKhwDbT9bGF/bbhWIGmgJZt94/VcbYFZB7QfpU/ISBwFo6e1JMmnBsQWGpPezgHQqBce1oJseKCzIMxLQ6fW9ada9RSGRanCorKIGm7XQgMA65aGFD0dLgN7WWGkZNFQLOdiTQMp2YGkUZ1+G4Po81tKrO38xA/HPQ/IYesOTtBzYYqiJh1bF2SrI3XiN6mp4Xq9AHNpXBtr6MuFffaxAHCocA20fGxhf2q4ViBpo7969i6v5/KYTQe9AAO2uS7PTCSjI7HS6nF4nFIhD+8pA24mS5DR6QoE4VDgG2p4wFc5kRApEDbS3bn2Mq1fzm04MtBEZB7JIlb/iiioDfN5NFIhD+8pAu0kB8ab+UiAOFY6Btr9siq+mswpEDbQEq6ObhBzQh2L0xx7azpY7p9b7CsShfWWg7X074itoU4E4VDgG2jYLi3cbSAWiBloSvRXUKpilfRhoB9I8+aI3USAO7SsD7SYFxJv6S4E4VDgG2v6yKb6azioQB6ClK2qE2mbddvV7LwedLVlOrd8ViEP7ykDb71bG11dVIMwKR13tqCEyqWsfNf1m7Nc489Fp+Vttp32pInZzCnb9Q/1nTl++WNWFF1iBuCgQF6BVepBXthFmadu1/JW+77ZLacBzVqAdBcJsXzdrKx/bbGM724KNZfbyRSwtLrRz/bwPKxCqAmFVOALVhflZOZTm8tKirA9UJ2g68a6Dixem5DJtW15akPt2u4P2YB1loA3V7Phk21AgCqClukd1YiE3j3t371b7VaVR6+4UCri9slK37vbKLUydP9v3Aytso9h4V1YAYbWvWzEpAy0b40AoEEaFI3AkmL2av7JBU3qN2WwYzdXVO/IYOnaryrrT7Qy0G4qDV8RQgaiAloa+vXTBw9S5Mzh3JlOd3n7rd3jz8BvV37SN9qF96ZhuP4hSfQ/W3bLDiPpm5T9WIF4KhNG+ttP+dRxoyfPEf6xA3BQIo8JRAzc3m5UfjQSvn/q3VB22N77CpCE36ZhuNo7BRpE9tMGS4eU4KRAF0FLdWMzNSUClukGxsWp6710H1pHfVH/TetqHYJaOoWPbaWR3s0+w7jLQxslaOS9BBcJoX9upR50HWg45CJYzL8dEgTAqnHp9SV9Bqz/q2/I/xX/UjT4UhFoacpMaycEA2p10jt54TG00oJwl4AaHfVeiV+d5uG6++mvHCwUPdkqHEAYsrzxE6o7T4gNbKhAF0FIjSdBI9Y8mFe9O8/cnXPx+3Kpbp/YLA2ZV3igvubkZMNC2NB3eELECYbSvDLQRFzKfPj4KhFHhqOEhL44C2mYwq4bRfOcP5T4tCWjpGDq2nQq7k32CXp5oPbSNcNqOfTQeUwPa5kcHt9eO9YSA1/yAzdcWXOgig45hrCeghqTf/MSDtzUqoG1Vpz54/yT+8Pvfda1etjpvcH2w7jLQDl6d6JUrDqN9DdaLVsvsoe0Vi+F87kqBMCpcEGgpZvaY9d8w3/x1y4k8tf0NtDQWehKG48JOk6fUgxjS4bguUgkNaaJE34WuW3AsDZpT9mz7jg7dcuG4Ho0YXx7LncaWF/S7BqxqvHbf1iEq5yh6KQztG4JuBY7Nu0js24eEcJGHD1fXYTkWNM1BeUj4BIaEDcdMIqmnYLoOxIiBLGXP0svjxtdZnw9XaDBpvPnAuPJCDjAfGMfeExjSHbhuCgk9gxLycBP7sC8h0AnHcV2W+uAHA+3G3k4agXZhfg4PHnzKE2sQKxu4MHUOczPT1Y+cw3qD0Qi2DLR90BDwJWytQNhAu3WOynv0NdDmTehOMCbAg9Az5QuveCrzZhKGm0Em40DXbPilNIRBKKn+PIikQCqlvKQbgTaXSsLwfJTkIbXtEqAr7tCqhzZvImm4yGQycHRNwqoCY7l/JX9qnSc0pMsJqwwBeRPCrfhsVX59G82Atna5FQ8xe2hrOjYsMdBuDbRLi/xRWIPZ8M8YKBBG+9oIr81+M9DGwBg4C91XIIwK1+ih3WwYTQo96HsPbdaAqKPBWggAKmCXNTQ4frHSNVIJKLoQZjDutQy0ImlLbyqaeGjJego5B5ru1nlwmwJt1pCeYOqWiSZiVQWvwf3VuqKrQ2QaAg6C16WAtmBDWBUPsy3KXt0AvFaBOrCu+1bfW2dgoGWg7S2L5dwqBcJoX5sBbOM6BlpVIjzvawXCqHBBoCUxG0ccUvGz/1v8B67my9DW1x5a+HC0BFL0aj5NnqWNQAvfhpZIwXFtGA7tU4JnJKDbLhwng4I6pkhgS1Bb88CWobOAdIqOt6CbHkooIa2PIJXO18IVAOStEWhWtnx8JU+24YDOqOA1mL/augLSYgRJXUAIgVSGPM4UtqCVr0vX4UqO9WEnk7AcG2Io0Rpo8xZGNAvZMvv2dZ3b7sUx0DLQbtdmeP94KBBG+9oIr81+M9DGwx44F11WIIwK1wi0dEkEtRRHG4RZ+lhM/fU30Kqr5DkrsLUCDLQMtFtbCe8RRwXCaF+bAWzjOgbaVtaxtobVVtt4fc8pEEaFU0B74/q1DfrQMJrkmQ3CLO3EQLtBKl4xoAow0DLQDqjp9/xlh9G+NsJrs9+xAdoHN65jdGwBB8cWcPxGi/K9vICDlwGoeYvddr167QYOHVmAOHaDoXbXYsYjgTAqHPVRKbvFunQRpVLjl0QADbAQ/Pv8889x88b1AeqHNnj1vMwK1CvAQMtAW28R/KtXFAijfW0GsI3r4gG0i4sYPq6+hv6sdRkqkFXz1nvufAvBrALZ4PLOU+QjY6BAGBWOgLbVMJo0bGbql4fw3gmnOpRmWMNoBrv+ibYf2hgYAmchtgow0DLQxtY4OWObKhBG+9oIr81+xwBoP8Ppwws43SjXras4+NoSxs8uYfi1PJZpuwJZNV/MQ0xcx/jYLA4tEgjfxMH/nMfo8esYPzJXXvfoJg4dXsLxU1dxeg0ApXt4CeP2PIZP1XvM8OnNGsyq/EiovYkH6jfPe1KBMCocgWOrYTRp8ITDb7yOD06drA6lSXAZxjCaDLQ9abIDl2kG2gEC2k/XsPpo4Ey8by84jPa1GcA2rosB0N7D+GtLZWANFPeyvYDjBKAAHpxdgFhsArR4CH/xBiaOz+HFCYLTmzh4WMUr3MDBsZvA2lXsfy2PmbVy7Vm25yAmb2DCy2P/a1cqXQEBeLSCUbsFuBLoHl8J5I4Xe02BsCocwaMaHpNiaoPTb8Z+jTMfna6uU/vRMY0Vs5O/GWh7zVoHM78MtF0E2jsfwzw2j4OHFzE6t97CwKj9vFlpR2nepb9HBZgU0nfkCpYZarskcrjJhtW+btUuxgBogZljczBv1YcaTB1ZwETF2FsB7bI9j9H8p8CtKzhYBdpKRXx0HQePVCD00R2cJo9tHpg6Mo/xW+tYXVvH6qcPwy11PltkCsShwh35zRjOn810FV6bVXgG2sjMjk+8DQUYaLsEtOTUGQt+D1Lf1taKKASglTBbAdngci0TvNSDCsShfaW2LxZAi08/wegvZ7F/bAFibB7j5I2VIQeLMuTg4OGrZU+qCjWozP2JOQzbV2GOzdY8tNocDk1cxehrBK6fAYt5HKSwBAmylG4ewwalm4c4xV7XHqw7O8pyHCocA+2Oio4PGhAFGGi7A7TLx+dh3mo0ors4PjaPQ6eu19pK+YYz6KFdwfhYHsdPLWDvMWor78J8bRYH7as4bs/j4CS9Qr2L8cMLGD97BRPy5ehdHD88j9FT5VDB+u6W72C80SsrobYSUtiYRf7dMwrEoX2ND9B2rNjUE2bHEuSE+kSBOFQ4Bto+MSa+jK4owEDbHaCdGpuvvu2sFlx+CQcnK6EH1beZqv1U88/w4NYKJrwrGDYoPO8uzMNXKuGBd2AezsPHCg79chGnb1XeduaXMDx2FRPeDYwfpjev6oxrOH6sFbjewfixq9yjkJKqB+dxaF/7EGg/xqFjtU7re9AuOMtdUiAOFY6BtkuFy8n2hQIMtN0B2tXJeRz07tfbyOIiDp6tQGgroL2xhP3HP8GDR2WQVUBb9rp+gtHDFQh9tIaZU/PYT4C8uIj9p+6WQ/rW7vPH1PWq9+2vOLSvfQi0fWsvfGG7VCAOFY6BdpeFyIf3tQIMtN0BWuAeJigs7zCF9C3gkFcOFaDQABlycHgex6UnVXlmK3MKz/vlEsYnFvAj5aE1ZrHfvip7ERKX7wN3ruPQsXIIwqE5AuQ7GH9tTqY7fuQqZvraYvnilAJxaF8ZaFVp8LzvFbh0YQpzM9NYmJ+VvRB0u2cBqlyN02ACbQGenYIuBAzLQ7HvLY0vcKcKMNBuvGcEP+jMXr6IpcXcTuXtwHHKU9uBpDiJvlKgL4GW+tpcXlzoq4Lii+kPBRho55GbmymPZHb5YkiFWoCrC2S2S7G+DWHXf04SUob5NBEqwEAbd6C9h+PHKh9oR2gnfOr4KdC/QLtEXRTwHysQLwUYaCMAWt+CvgFMPQjhlY3DE5CLJQ8p3YTruPCKRXipIewb0mF5RZSyJjRhw3UMJIyyh9e3ExgSNhwziaSeguk6ECMGsvEyOc7NNhVgoI070G6zQHn3gVGg74CWXuXSK91oX4kMjP3whW5TgUsXPczNZuVIXjSgAYccbFPAnezuCWjpUsORTYC26ELXHOTU6NdVD20JaVED1bwp4BYB3xYoc7IHoWdk+rV1Dafjnz2jAAMtA23PGCtntE6BvgJaAgQJtLNZkCfsav4KisUi1td5Yg2is4H76+u4d+8u5udmQPFnaphZBtqQQg4IVEWmIW6WgLYMoVAeWro1lnx4RhIpChGsAm0RrjCRr9w6mwJtxdvLQFvXvvTkDwbazYGWQvrYYdSTpt33me47oA2OYU8Xd+7MR5j8MI0PTr2P9Psncer9P/PEGoRiA2RvZHcfnf4A585m5EMWvT2gGFIaijYK7yx9IDaIH4UV0gIjSR1CCIhUBgWU4BkJCMeFmdhTDjnIUsysC8fQ4VDobCkNfSSFdL4ScqCXQw40Mwvy99bgtebtra3r+7ajby+QgZaBtm+Nu88vrG+Alhpq9SWm8tLSk+T0pQu44J3Hhalz8M6fxdS5MzyxBqHYANkb2d1Fb0ra4Wz2cuTe2UEF2j6/j/PldVABBtqtgXaZv1HpoMVxUp1SIA7fqFAbu+uhbxXQ0mtc8n4pqCWIUGBLcHv5oscTaxCKDZC9UYgB2R95ZinUgOxSeWfZQxtSyEGn7paczkAowEDbGmhluzozjUsXPHz22V8Gwh74IntDgbW1tfJb0Ii/UekY0DaDWnq9SyBBH+IQVPDEGoRqA7NZaX9khxQOQzAbVews1Q+aBjHkoDduyZzLOCjAQNscaOm+RfcwakvpQX3q3Flkpy9jevoSLl+8APrglSfWIEwbILuT9neJ7PGM7A4y+I2KavPCnnfEQ6syTZ4vqnzKW0uVkCZ6uuSJNQjTBpTtBUE2Ks+sqh8MtHHAJs5DXBVgoN0ItHTvUO0pPZyTU4DednpT53D+bAZnM5M489FpOWUmT4Mn1qCbNqBsjb6RIvu7MHVePmTRwxa17+otqGrzwp53FGgp8wQNalJwy/My5LMO4eugbDFqmKW6wUAbV5TifMVBAQba5kBL9y5qO+ghXb71nJmWEEFgSyEIFy9MlSfvPOjjHJ5Yg67ZQMXWyO4otE+F9ak3oWSnUba1HQfaRiIPAgUv12Cftei+Fo22GPVvBto4YBPnIa4KMNC2BlpqL8j7RV4w6amthPKpb1UILCgcgSfWoFs2QDamJrI7GUI4m5X2SA9bUXtnqX3vOtBGDRF8/uY3SdYlfF0YaOOKUpyvOCjAQNv6nkRAS94vggYVxkdgSxN5bXliDcK0AbI7FUJINqk8s2SnUbIFA23lg50oC4HP3fpG3k/aMNDGAZs4D3FVgIF28/ugeqtH8KDglmBCQa76boDn5W93WIfu6KBsToFsXGCWWIGBloE20ieqfgLWra6FgTauKMX5ioMCDLSbA626vyiw5Xn3w9ZY4/Y0VrYZ9ZyBloGWgTYkG2CgjQM2cR7iqgADbXtAGzU08Pm5nOJqAwy0IcFMXA2A8xXezYmBNq4oxfmKgwIMtOHdi/i+z1r3ow0w0DLQsoc2JBsYaKD1bdheu9hUhGcJCCEgUjYy+WK7B/J+PawAAy1DVj9CFl9TeHbNQBsSzLBRh2fUcdW620BL8V6tPhihr1KpqxU1DHXo3LMtoPVhCxu+zGQBWTMJwys1z7InINoG5eZJ8Np4KECds1PfqmSnZK/0UU/wA5TGj1C6Xc8/eP8k/vD73/EDP7eRbAM9YgMMtD1SUN2+eXP63QfubgItwSwBwMf+TdxfX6+b1otFrN27h9U7d3B7ZQU3b9wIiWB8OJoGy3Vg6iMwCTx9G8Iuo6pvC8hF34WuW3AsDZpD24JAS1nNQJfUWkAmZcJxLSR1FwXk4Sb2YV9CwM0DpawJzXDgGInWABzSlfNptq/ArY8/xsqtW9JOyV7JbhttmX4vLy1KWyeb7+Z9i4G2+/fEbpYfpz145cdAy0Db1UaBbyq1m0o3gZY8s9QPYbO/v/71r/jss89QKpVw//59rK6uNtut8+vyJoRbCRfImy2BNk8eWDeDTMaBrpFnthFoPQjlhi3k4GVcGEMC0jFb9dCWkNaTsDKUjokRtX/nr4pT7JIC9whi19elnZK9kt02+1tbuydtnWy+m/cXBtravaubOnParHOnbICBloG2q41Cpwy1H9LpNtDSq9pmf88880w0QJs1INKVUIGsAYMItGBDWPUe2qyhwfGLKBZpov3rgbaYEdDcAlBKQ4g0CiXAE41AW4SrG/BkGkXIZJqJwetiq0Aj0L7++usYHR3dkN/799dlWAIDLYNQP7QLfA2ds2MGWgZaBtqQbKCbQEvxhTQsofqbmppSi3jssceqQJvNZsPz0BKYJpOwHBspUQk5CKwTQ4lKyIENLZGC49ownFwZaBND0IWAriWg2zlIP2/Jg5EQcFwTiT0VoM1bGNEsZH2g6BlI6DZcx4SZKVSvnxd6QwEC2uvXr2Nubk7aazKZxM9//nOZeXqroN4srK8Xpa2TzXcTBthD2znQ6GY5cdpcTsoGGGhDghklOM8Ht/K9bb+FzOSHXWmEG4H2Zz/7Gb72ta9hYmJCAu17772Hb3/72/jWt75VBYPewBzO5aAoQED7wQcf4Atf+AIIZoeHh0F2/Itf/AJf/OIXMT4+LqUIC2hPun/Cn/74blfqK7cDg9sOcNl3r+wZaBlo+YYdog28d8LBb8fexLGjRzo2vf3WW/jv3/4GY78+XMc+BLMEteShJUg4ceJEuDG0dbnhH6zA5gqokINbt27hlVdekXZLtktQq7yzlAJ9OEa2Tjb/1rjVsXoUrJP0NoU8tAwf3YMP1pa17bQNMNCGCDOdLjxOrzdvCOfPncGZj053bDqXOY3JD9N4/89ulRiWl5fxwgsvSM8WQcHf//3f49lnn0W4IQfV7PACK7ClAgpoU6kUvvSlL8mHMHogI+/sG2+8UT3+7uqqtHWy+TOZztWjYJ284J1jmOW2kW2gx2yAgbbHCowhtjchttvl1hhysHfv3uoHNSqGlkCBQw6qXMQLMVOAgPadd97Bv/zLv2BhYUGGHVAMLT2cBe05rJCDbtdZTp/v5WwDnbUBBloGWn4K7QMbaATaIKsooA29265gJniZFdhCAeWhJTulbruCH4UFD2Wg7SwEMFSxnv1iAwy0fQAz/WKMfB07v7FuBrSu61Z7OQi1H9oghfAyK7CFAo1Au7S0JL2zjYcx0O78PsH3WNaun22AgZaBlj20fWADCmg///zzxvZfdlAfycAKG3LCK1iB1go0Am2rgRVu314Jpduufm74+doYbPvRBhho+wBm+tEw+Zq2d8OlTuZpYIW52Rn4N2/Av3mzOtFQt9evXUP+yhUsLi4iNz/fmip4CysQkQLz83MydpbslOyV7DZox7Scv7KMqfNnQxlYge9B27sHsV6sV9Q2wEDLQMse2j6wATX07aULHqbOncG5M5nqdDbzETKT1BPCB0ifeh8ffnAqImTh07ICrRU4f/YMTr1/Utop2SvZbdCOaZlsm2ychnnu9khhUTfOfH4GRLaB7dkAA20fwAwb/faMvh/1urK0gMXcnGzoyVNLo4apKXv5Ii5f9HDBO4/zZzM4f+5sa6rgLaxARApcvngR5858JO2U7JXsVtmwmpNtE8ySrZPN92Nd5mvi+znbwM5sgIGWgZYbhT6xAWrgyWtFE8XUqoka/9zcjHxNO33pgoTbiJiFT8sKtFRgbjYrbZOgleyV7FbZsJor+2aY3VmDz6DEuvWzDTDQ9gnM9LOR8rXt7iZMjT8BQRVqL19sCRX9sKGYd2EKASEE3HynrsiDEF6nEuN0migwPzcrPbJkp2SvDK27q/d832T9Bs0GGGgZaNlD2+c20PdA6wlUWTObQtLqGMUGsGsToA2eP3AEL25PAQZaBrBBAzC+3s7aPANtn8MMV5jOVphe1DM6oPUghjSYlgvHSMDMEuD4cHUdlmNB0xz4tMbWkBACllcEfAe6bsF1XHjFErKmBsNxYCQMeCUAnsCQ7sB1U0joGZSQh5vYh32Jsjc2IwQ2+FF9F0Iz4bh0Tluek9LZkzDhOgKJpIBpOzCTGtwC5bFZvhXQNuY/eP4m+d0e0w303gy0fK/qxfsr5zk+dstAy0DLHto+t4FIgVbPVCAtU35lnzeRNFxkMhk4ugbbJ6DVYRHZooS0MCC5V/5MQ09act+MOVL2wnoCKklPwWvVQ1qArZlo9M/mTQG3WM5GKS1g0Amqx/iwdasKuWVPrwehToJKvglyaWOT/FfTKjXJb+Xqeba1Agy08QEDhjQui160AQbaPoeZXjRKznNnb6aRAq2KBSilIYgkswY0x0exWJQTOV19W0iwBYpwRQBIiy50w6vbtwqPkkkr3tgqnAK5VNOltagAACAASURBVLICxzWAyhoCaToRIXMzoBU1r20VaBvzrYC2Sf6reWqW31o2eGkLBRhoO1vv+T7Keg6aDTDQMtCyh7bPbSBSoN2TQMp2YGllbyyFHNhaAinHhW04yNUBLVDyDCR0G67jIFMowjMS0G0XjmkiQ+EAAXitemjzFkY0C1ny8hZzsJIj0ORHYToceQIXupaSIQe67jZ4Y33YzYB2Q75rIQeN+Uf1/E3yuwXE8eaaAgy0DGCDBmB8vZ21eQbaPocZrjCdrTC9qGekQKs8nTVu6YElBa89kNU+yiIDLd+revH+ynmOj90y0DLQsoe2z20gOqDNIpWqRsT2EHr1ar57SOImWWWgjQ8YMKRxWfSiDTDQ9jnM9KJRcp53djMlcFUdz6uO6GnOAys0oSdeFTsFeGCFres91XGeWINu20CvtsEMtAy07KHtAxugGxyB68f+TdxfX6+b1otFrN27h9U7d3B7ZQU3b9yIHcxwhlgB3/excuuWtFOyV7LbRlum3wu58kMa2XyvNrxb5bsRWNSDKs/LIyGyDuHo0GiHW9lt1NsZaPsAZqI2Ij7/1p6VbmtEN3ga477Z31//+ld89tlnKJVKuH//PlZXV5vtxutYgUgVuEcQu74u7ZTsley22d/d1TvS1snmu12vokifIIKujd6uLMzPyhH+aPQ0nliDKGyAbJBskWxSAW4U9aKdczLQMtD2ZaPQjvH30z50s5nNXm7W/uOZZ55hoG2qDK+MkwKNQPv6669jdHR0Qxbv31+Xtt6PQKtglub314stoX6DKLyCFeiiAvRmhNrLuEMtAy0DLQNtH9gAPUHPTF+q3tKWl5ery4899lgVaLPZLHtoq8rwQpwUIKC9fv06bt26Je01mUzi5z//ucwivVVQbxbW14vS1snm++mhVMEsecRur9yKU9FwXlgBfHJ7Rb4xUFAbx7rHQNsHMBNHw+I8hRuG0Ai0e/fuxXe+8x1MTEyAgPbs2bP49re/jW9961tVMOB7NCsQJwUIaN955x184QtfAMHs8PAwfvazn+EXv/gFvvjFL2J8fFxmtx+BVsEs1eO5mWms3bsbp6LhvLACWC+uSdskG40r1DLQMtD2lZejl0D6D79/C8eOHsG49d+7mt62f4ejR34D883/U3fbJZj92te+JoGWIOHEiRMcQ1unEP+IkwIq5IA8tK+88oq0W3oYIy+t8s5SfunDMbJ1svnf/+7YruqOqnvWf/8W7/3RiexeqICWvLMz2cu4d5eBNk62yXkBisU1ZKcvxdpLy0DLQBvZTbyX4LPTeR39VQqZ0x8gM/lhR6bTH5zCyYk/Ve+7BAAvvPCC9GwRFBDQ/vjHPwaHHFQl4oWYKaCA9siRI/jSl74kbZY8szS98cYb1dyurt6Rtk42f+ajztQfqocfvH8Svx37dST3QwJa8nzRRz8UOsRAWy1uXoiJAsW1NWQvX5Q2SrZKNtvpdnG36THQMtDGzih3a9RxP/7tt36HzOkPO6o73WCCMbQUcqDiD1UMbSqV4pCDmDQOnI2NCqiQAwqNWVhYkGEHZMMUD072rD4Q62bIwfsTLk4473S0brZzP1JASz2VTF+6gHt3uSeSjRbCa6JUoLh2D5cverKHEQZaBsfQb5Lt3Eh5n3BjXUlvAtoPT73fUXtoBNrgjU8BbTy67drusLJF5F0TQggI4SIfvDBe7isFlIeW7JS67Qp+FBa80G4C7Xsn3sUf3w0/9IBiEqkfaQbaYEnzcpwUIKC9dGFK2ijZKtls3PiBPbQM2rEzyrhVkk7nJ2ygdV232stB9P3Qbg9os6kkrK0o1rchbD9O937Oyw4UaATapaUl6Z1tTKrfgZa8YHfZQ9tY7Pw7YgUU0NKIfgy0DI4MjmwD0ga6CbSff/75httedAMreBBDGkzLhWMkYMpxHxTQZuEIG64jkEiVB4TwbQ1J04Fr60hIis1ACG/D9RQyKZiOCyupwy0U4aWGsG9Ih+UVAd+FrltwLA2aQ5Drw9E0WK4DUx+BKZPz4QqtnIamoczC5bymhIuFtIAhs1RCWhhoPlzFhmzxil0q0Ai0rQZWuH17pWvddkXtoVXD/24GtFMHvoyvPL6zSZvaZSHx4QOrAAMtAwxDLNvABhvoBtDS6x8aWGFudgb+zRvwb96sTjTU7fVr15C/cgWLi4vIzc+HdFP2IPRM5VwKThXQAiU/i0zGgpawIdHT1mFJR6sPW9jwCzY0s5l7toCcl4FrDEHybsBDmzeTMNwMMhkHumbDz5sQbrGch7xZBtrgulIaQtJrIK9qXSmN1Jbu4ZCkHIDTzM/PydhZslOyV7LboB3Tcv7KMqbOn+3awAq9ArR7xqZBDwDtT9MYe/7LYKAdgIq0w0v0lzd/y0VAe9E7D/bQMtRsgJpOv8bm9MKPhd2p5t0CWoq/u3TBw9S5Mzh3JlOdzmY+QmbyNCY//ADpU+/jww9O7fCWt93DavAKBYmorMtb0KwcSqjAK/lSbVHxlqp1OaSSloTd2pnJayqQLpQAT2wA2qyhwfGLKBZpKgFZAyJdKh+eNWCQhza4rjFflRNlTRNpR2wd7lDLGC/tUoHzZ8/g1PsnpZ2SvZLdBu2Ylsm2ycbJ1rsRw9crQPvkN3+AZ5/d3vQPT/Q/0D6893CXVtirhz+AP3Uc5iH61kDgkHkcU/6D9i/GH8ePHvsRxjdhWgZaBlkGWbaBDTbQDaClr6TVRyXkqaUeD9REXa1QXN4F7zzOn83g/Lmz7d/odrWnB7EngZTtwAq+2ie3qm8jmbTg2AJDVQ9tI9ACxZyF5IhW/ihMd0AI7BkJCMeFmdhTBtpSGvpICuk8hRzY0BIpOK4Nw8nJkAM7mYTl2EiJQMiBriFFYQu6DlfexAPwTdect/BiwkFhV9fPB29HgcsXL+LcmY+knZK9kt0qG1Zzsm2CWbL1bnQb1CtA2xkP7UNY+zaGLrTlxZ06gK/sO4qVDQX8EAtHX8YPv/nVcljEUz/FiZUVeZ620t2QHoCm52qS5oqNnzzxbzh5r1ki/bvuwYyJ4b3DGD29jNUKwz5YXcbp0WHsHTYxsw2u3UwlBlqGmQ0ws1OvHh/XOx7YrcqqG0BL56QGnrxWNFGvB2qixp/6tyQYoC6BCBbC+WuAxHBO2vIspWpsbMtdahuCXtzaWl7qogIqfpTslOyV7FbZsJor++4GzFId6hWg/cnRBpRcmcbbYzr+XS9PY/Z0A2w2AcBqWW62rbpT/UJTyASyr34XT+57E9mVoKd0B+kHz9b0XNtN8zxGv/cirAbZgqfpyeVlE8MHT6NlJ2+rp3Fw2MRyBy6OgZaBloGWbWCDDXQLaFuBNDX+BARVqL18sQO3t3aSyCJV+eCrnb27s08OtiZgGvTBWRaVaNpNT1XwLBiG2xDqsOkhvLEDCszPzUqPLNkp2Wu3oLVVPelZoF14Hd9/6nm8MmZjcnISk5M2xl5+Ht/43utYqJbLZgBYv21h7DkZzvD9p76OH756HoSmD6dfx0++9125nrzDNa/pQ0wd+C6+f+A8Ht47geHHX8TbGzyk5fRfevV1/IQ8t089j7FKxmS6FDrxzaexZ3RangsrJ6E99zSefPzLePJ/2FipAm3gXKjPs7zM6n6N+U3jxEvfxTce/yr+4dkfYLRvPoxbxfiwQPVyHszA3L9X9tm835xB1TE7JTA83hJ5qxby4EH1iOq64MJAAi3dhHhiDeJsA5s1aGFsGxygDd4OeZkV2FwBBto5+cHNVt12US8HdR5aArknnsYPhw9UPLQv41+/93V85fEDNdhpBoDV4mgCh7Tt4Um89PhPceIe8euXMUwL6q8Cj5NHX8A39h3FNVq/chQ/eb6yrPaT83L639HPy18Loz/Ak7T8cBKvPPUyTkpn7gJGn30OY9euYey5r2LYDrhSm52r2fUEgHZDfnEe2uMv9JeHdvU4Do7WfK8zh16EWfm5bL6IQzOqEJYxevB4ay8u7bY6jr2P7cVm3DtQQKsARr0SotdFaqLxqXliDaKwAWWDak72qWw1DHhtdg4GWnWj5TkrUFOAgXYXQPvyCSxMTWLy5EmcnJzE1MIJvLJDoL128gD+9bnnsec58mpWIPDaSWj7nsY/PPcyrIWHZQ/t936AZ5/4LkanK2VIMayPK0CtlSsa4HPl6Av4yoHzZQB+4um6j9tGpwg8X8Zk8HAC1cZzNaQpdw8ALRrz249AiwcIOlVPH9yP00q30/txsPoD2Mr7Sodttc/AAK0CBIKFq/ll3F29gweffsoTaxArG7i/vo7bK7fkg5YC22bA2e11DLTqrstzVqCmAAPtLoCWALHuj8BwBx5aGTZQAUrpoW3wak6+XP4YrAKPC1MH8P3vHcCU9LI+xMmXv4rvv3QU2YAztyXQynP9m/QA17K+gNHvfRvaZCCBpudq4lUOAq1KUOVXAu3zsKQrWW3ssznF0+49hPHxQ/JjsJrvtjPXOVBAS4BAsU8EsvzHCsRZgRvXr0UKtQy0cbYOzltUCjDQxgBosYK3h5/GN775A/zk1QN4qeKhzY5W4mq/9xxeJXoNwOO1YNgBruHkgRdAXYTR4A9PfnNjLwdVDy2Aaydexg+f+jq+L7sge12GSDxcOIpXnqOQiS/jG8MnAjG0QO1cZaCtDTDxAiy31vPChvziIaZe/QGefPyr+Pdq0GlUlt7F8z5Yxerqai1+toOnGgigJe8swSy90l3IzXVQPk6KFeiOAlQxqeufqD48YaDtTrlyqr2tAAPtDoH22pv44RPPQTt6svJR2ElYB57Dk8+9WY5tlWbRxKPZ2+bCue+kAtwPbbkbJQJaAgOKj5wO7evpTpYkpzVoCtwpfCK7sKKHsChCDxhoB83i+HrbUYCBdodAS+KunIc1+jL+9dkfYM/wAYwePb+NbrvaKR3ep98V4JHCKn1fEtCSxyu8/i373bT4+rqpAAEtddROD2FReGkZaLtZupx2ryrAQNs+0HZmYIVetRTOdxQK9H3IQTDcgDrFpnF++Y8ViLsChU9uy1GIourvkoE27hbC+YtCAQbaNoF2dHtD3gaHyO2fPlijsNDBPufAAC15ughoL0ydG+wS56vvCQUIaGnErKjiaBloe8JMOJMhK8BA2x7QhlwsfDpWQCowWEA7M81Ay4bfEwoQ0FJ4TDfHhN+s6y8G2m2YSd6FEEJOppPl0bu2IV2v7cpAy0DbazY7SPkdOKD1zp9tXb40isjj5a48al1ttPl739GGAPfWp+EtrMBWCjQCLX0YthmAdnrbwAKtb0PY/lbFAwT38wSEVz6k5LvQk3YLqPVhi1bbtj4l7xG9Agy0DLTRWyHnoJUCDLRBZSTQvoyT9+7h3namk5WOnINp8TIrsAsFGGgv7kK9bRxa8pDSTbiOC69YhJcawr4hHZZXRCGTgum4sJI63AIAT2BIS0G4M3X70XoFtHRm39JBTNx4fNFLYWjfEHTLQ5HAV7fgWBo0pw2A3sYl8a7dU4CBloG2e9bFKe9WAQbaoIISaFUHytsIaqcxqdlDG1SSlzdTwF9u4cGrHcRAGxLQFl3omoMcASv9BT2vKCDnZeAaQ2Vg9QT0TJP9GoHWFhJo0Xg8ah7avJmE4WaQyTjQNfbaVlSN/YyBloE29kY6wBlkoA0Wfhc8tCuTh/CvBLwUyvDE03i1xQggwZFJglnaznIn0tjO+QZ139WZ0xgfLcdMitFxnJ5Z3YYUPsZ/9Bh+NL65V46BNiSgpZIr+fCMJFK5INCWkBYC6UJJemalBzYIrkHwDa6HDytpIIsmxweANmtocPwiikWaStuwH941SgUYaGtAu3qngAef3ueJNYiNDdy7e0f2ZEUdAKg+3Dsdjrfb9B7bTQKq2y7Zy8HMNLaOoQ2OLU23zntYmDyKUV3Hv9M0ehSTC4ExnGmXwBB7wZvtvRM/xZPfexknr8lBpIObNix3AkY7kcaGjPGKmgKrpyH27oU4PgN/9YFc/2DVx8xxgb17BU5vh2trqTZdYqANCWizFDPrwjF0yDf/pTT0kRTS+QI8IwHhuDATe6oe2mpoQXW/ogTefQl6wNGQSBjISG9vaePxBLn6CFLpPIq+DS2RguPaMBwiaf7rBQUYaGtAW7i9gk/vr/PEGsTGBlbvfMJAW72RSg9tEGjv4cRLX8ezwzqsk5NyyL6TR3UMP/t1vHQiALVNgXYFrz7zbbw6XU29urAwVhlz+qmv44evngfhbhBGH06/jp/QuNHffBp7RqfxEOUhAV969fWyt/epF/H2tXJyKycP4IdPfRlfeep5vDT8A3zlAPWzew8nXy6HTPzDU09j2Kady2m8oh/Cs0+8AGulmh1eaEeBB6dxcNjEcst9l2EOH8TpMue23KvdDQy0IQFtuwXC+7ECABhoa0B7924Hn+DZuliBDihQXFtjoK3quAFoyxD4je+9iFcqHlpt+Dn8wxNfxk+OBoiwKdBeg/b4AUxWE2+y8PAkXnr8pyA2rgLtw0m88tTLOCmdugsYffY5jF0r5+OHYwsykYXRH+BJ/TxA+xKcSrh9iMkD364AbeBcC6/j2WcOIVsB2u8cmEQAxQM78uJmCkyJYYxX79+rOC1exI/2/ggvitOorR7HsGgRUxJM/MEDbMW9DLQMtEGT4eV4KMBAy0AbD0vkXDRTgIE2qEpToH0eY5PTmJw8iZPSSzuNybHn2wLaf3/iB6gwaPAsuHbyAP71ueex57nv4huPl72lVaClPDzxNOpHTikDrVZhpbp9n3sTFWdtDYrxENmxn2LP889jz7NP48nHyetcSWNTwq7LJv+oKjAFcXCiCqGrx/fjYMUV++D0Qew/rpD2ASYOCmyOtKsY3/sY9tbouHqW4EJYQKtCcqhbMBpiV01vHbNw6s8T1d+0nSbafzchQK2OpXTp3DQy2mz2MqYvM9AG7YGX46EAAy0DbTwskXPRTAEG2qAqTYF24+t5AsqtPbQAhRY8+ZyOyWAM7b0TGH785bLnVnpoG4BWbv836bWtZa0F0Mp9m3hopw/hOwp0yUMbBNrNaat2Sl6qU+BBwKXqm/thqtiDZRP7zcAHXsEd61II/IiJh5YAlWLLr129gpVbH9dN2elpLC0u1K2bmykH2ncDahloA/bBi7FVgIGWgTa2xskZAwNt0Ag6DLQUyzo19tNyjCv1cvDUdzE6tYK3h5/GN775A/zk1QN4qdFDC+DaiZfxw6dU92Gv17yrjR5a2tf+qQyBePLZf8OrB54vhxw8PI9Xn/s6vvHsc3hJP4A9DLTBUt79MsXT7t0Pc9zE/r2di5sNZqzbHloCSILZhfm54Gk3XX7w4IEcuYxAuJWndafrGWg3lZ43xkQBBloG2piYImejiQIMtEFRNgDtQ0y+/FV8/3+8jrcnyx+FTdr0YdZX8cpkoOeCpjG0wYR5uf8UeIDV1dVqGEKnr6/bQEtQKrs2WZjfVtYpHICBdluS8c59pAADLQNtH5lz310KA22wSDcALW28h4WTb0Ibfh7PPksfh72Jk2122xVMmpdZgbIC8eiHlqCU4HQhtz2gnZm+JGNdd+qJbXUce2i5fvSCAmEDLdULqqs0qfj2d4+/A+edP1R/q+20b6v61Yn1dB7q25MehC9f9MC9HPSCxQ5WHhlog+UtgZaHvg1KwstdUCAGI4VR40hw2gxob936GObYr/HwYSBwuCIDA20X7IGT7BkFwgRaAshy/+lZLC8typh2imv/8IM0Pkinq79pG8W30750TCfgtVkaDLQ9Y6YDm1EG2mDRr5zAS9T/606ml04g0JFXMFVeZgW2rUC3Qw5aAe2lixfwn+I/oP+v/4k3Xv/VBqhloN12UfIBfaRAWEBL3lYCVP/mjbbVo33pmG55ahlo2y4K3jEiBRhoIxKeT8sKbKZAFEBLMEsgG5waoZaBdrNS4239rkBYQEvwSK/2799fb1tS2peO6ZaXloG27aLgHSNSgIE2IuH5tKzAZgqEDbTNYFaBLXlsKQyB/hhoNys13tbvCoQJtBTjvr5ebFtS2rdbH21SCAIDbdtFwTtGpAADbUTC82lZgc0UCBtor+bz2GxioAXgCQgvWGp5uG4+uIJ2gm0H+iVu2Mo/e1uBsIBWhQQRpMqY9jd/LePaKba92UT70L7deuCMEmhzloBbaGY3ReRdE0IICOGCaqJvC2y3+m3vGK7fzUoiLusYaONSEpwPViCgQNhAGzj1povdajAp7o8a8fBHCvNhCxttIegGoPUg6gmXgXZT6+n9jVEALalGb1D+dyW2Xb05oTmto230169A28pqsqkkrIbnye3BaTnl7R3DQNuqPOKwnoE2DqXAeWAFGhToNtDS68Ptdtv1+eefd80DFBXQFr0UhvYNQbc8FJGFI2y4jkAilSV/D2xdwHFtpKnhrACtbychPHoVrIC2BM9IwHBcWGYSYrsuooay55/xVSAqoCVFyAsbhFpaVm9OaHu/Aq0CTt/WIRwXtqyMmSYPk+Sh1ZA0Hbi2jiEzB6CErKnBcBwYCQNeCUDRg5E0qvW6nH4RnkiWvbu+C1234FgaNIcedbl+x7dG1udsIIH2s7/8BTyxBnG2gTCAlj4guTB1DncKBRSLxbppZWWlbj01lteu5rsWoxcV0EpoDXhoS34WmYwFLUFe2xxSSQOeT61gGWiTIoVURsU1VoC2lIYwCICp7UvDZKAta9GH/6MEWpJTQW0jzNK2fgfaXCoJw/Mha2PBhmY2uGdlyIEOS75uqbx5KaWhJy1kMhlkzBEZMpQ3dTiBEAYCZV0YsCvJ5c0kDDeDTMaBrtnwuX73TE0eSKBdu3cXPLEGcbaBlVsfy87L52ezsjPzTn+5TABJXfxQCAFB7fmzGZw7U5t+/V9v4O3fv1VdN3XuDC5d8Ppw6NtAyEHegmblUCLPbBVyC8g5GnS3KD20SSGQrAJrBWiLLoRqXIsujOr2nmkHOKNtKhA10FI2CWqDnlmV9X4HWrrOQs6BprsoyodNa0OokPLmVh9Uiy50w6s+rBMMZw2BdOUZldIsA61660LbNTi+esAvAVy/lYnFfj6QQBv7UuEMDrwC3fbQqo88CGrJU0vhBwS3ajr629/gTyferf6m7QquCYabdby+m3XReWhLSOsjSKXzKPo2kkkLji0wRB7aQhqplAPX0mHSu8pKyEHRU1CrQg7odWUCwnFgpjQOOejj2hsHoG0lb38DbQHpVAqOa0E3PemlLeYsJEe08kdhugMKMNgAtCjKcCDdduGYJjLkmfUdaIlyWulc7ZhqKJFvV7bbMBxKlet3K5uL23oG2riVCOeHFSBPxCe3u+qhVfBJIEneX5rooyw1vXXMwqk/T1R/q326AbOUl+iAls2NFWhfgbCBlt4itftH+3bro02qo3QP4KFv2y0N3i8KBRhoo1Cdz8kKbKFAWECrwLZx/vZbv8OHp97vuCe28TzqNwPtFgbBm2OhQFhAS/BIb0WuLC+CPsbc6o/2oX3pGDpW1atOzhlotyoF3h61Agy0UZcAn58VaKIAA+3FJqrwKlYgWgXCBFoK8aG4dYpfD8a3//eR3+LIb39Tt67bMe4Exgy00doen31rBRhot9aI92AFQleAgZaBNnSj4xNuqUBYQEtvLOj1PkFtY3y7/fu38Pu3fleNb6cwg27HuDPQbmkavEMMFGCgjUEhcBZYgUYFGGgZaBttgn9Hr0BYQEsASVBLXlGaVGw7zd89/g6cd/5Qt07tR8d0MswgmBZ7aKO3P87B5gow0G6uD29lBSJRgIGWgTYSw+OTbqpAmEAbhMng8nsn3sUf33W6Bq7BcwWXGWg3NQ3eGAMFGGhjUAicBVagUQEGWgbaRpvg39ErwEA7J7v5u3zRw927q9EXCOeAFQgowEAbEIMXWYG4KMBAy0AbF1vkfNQUYKBloK1ZAy/FTQEG2riVCOeHFQixH9rgK8XgMnfbxWbICmxUgIGWgXajVfCauCjAQBuXkuB8sAIBBdhDyx7agDnwYkwUYKBloI2JKXI2mijAQNtElI6syrvlIfmEgOlkN4w53ZFzcCJ9qwADLQNt3xp3D18YAy0DbQ+bb99nnYG2W0VcGfedki/5LvSk3QJqfdii1bZuZY7TjbsCDLQxBNpAnS7bTx6usJEtKmvKw3Xz6gfP+1ABBtrwgda3BWx/O8ZUhGeZyBSCx+TgCBdt1U7fhu0BKKYhzKxMxHd0aMLFTFqgsiqYeMOyB1tmmO4PouzYMh1kt3UNKkm6lkoaMi26hhws4aLu8tTuAz5noO2WATQ0fr6llytl1oGwXTgigVQWKHopDO0bgm55KMKHq+uwHAua5rQA4G5lmNONkwIMtGEB7TYeKBvqNOBBjCSgGx5K0ng8CEEtIf/1qwIMtDEG2mr99GFr+zBklGGUbLGUTuHFfQJt1U4FtFUj3sY9Qh6jgDZwPyhR255sDebVvFdPWr/g2xDbo/r64wfkFwNttwq6wUBrT5kl+NkMMpaGhDTQQGXJm0gaLjKZDBxda2383cozpxsbBRhowwHa+gfKLBxhw3UEEvS0CR+2LuC4NtLk2qnUad9OQnjkli03WPRb7l75TUZUyKRgOi6spA6XXCmewJ6EWU47KWDaDsykVt7GD7KxqXdbZYSBNjqg3VCnSh5SOtUpF14xDzexD/sSAm6e2lQLjiGQlk+aBTgpB45QQOvDFVq5fmqqnfXhaBos14Gpj8CU5Fuu33X3CNWu01tX3YJjadAccr2W4BkJGFTnzWQFPgNAS4blW9Blm994nwnmvYSsqcFwHBgJA175SRmoA1rFDD7sxBCEvJckoafK95eRCsiXsiY0w4FD+aomtJWF9/Z2BtpulZ8yfJm+DytpgJrIvKXBypUCBqqME0DWkJWjWCyCJmXL3coipxtfBRhowwFaCa2BkJ+Sn0UmY0FLUBhQDqmkAc+v1ERPIClSSGVUjIFqsAh8LeQDQAsUkPMy+HgbHwAAIABJREFUcI0hSKdt9X5Q3le+fVTr+EE2vhWxIWcMtNEB7YY6VXShaw5y6t27qk/0IEp1Om9BOAXZrop0CZ4C2rwJ4VbqcCkNQQAYXJc364C27h5ROUfeTMJwM8hkHOiaDV+lQ/ZSSsOU4KruDxUjCkBp/X2m9rBMx+pJSzq1MuZI+d5BhweOreUnwA6egJ6RO1ZCGEtI60lYGcqjiZEBeXPEQFuxtY7PPCGfFoXQkEgY1Xge8uYkLQe2GKp4aMnwRpBK52XIga0lkHJc2IaDXMczxQn2igIMtBEAbd6CZuVQUg2iNJYCco4GnRpACbQCyeqrv0CD5VsQlgVdNhwlpIVAulCqenWVd7fWGAUaMX6Q7ZVqCQbaqIC2SZ0iqyn58IwkUtRYNgItSkinUkgZKelMqgJt1gABrvxTIBpclzVgBDy0zeps1tDg+GXHU7FYAoouhFmJ0C26MJoArW8lIZ2nze4zKu8E6YYnHVp1Tq02gLbMrApyi3B1A17FOUZZHIQ/BtpBKGW+xp5TgIE2LKANPFD6NpJJC44tMEQe2kIaqZQD19Jh0iu7SqNTJLBt1mDZQ/jHCtDS60fhuDATezZ6aJVHWDViBND8INsTdZSBNjqg3VCnshRX6sIxdMi3/nkLI5qFrK+grvzWM0leWsm7gZADXZOOI0vX4crXJT7sZBKWYyMl6kMOmgEteUy1REqGIxkO0XQRnqA678BMabWQg30J+VGYlkjAUF+pNd5nKHPVvBdl6IJO12UGPmzbNtDS9zkGEjqFUJkw1bl7opbtPJMMtDvXjo9kBbqmAANtWEDbtSLkhPtQAQba8IG2D82IL6lLCjDQdklYTpYV2I0CDLQMtLuxHz62Owow0DLQdseyONVOKMBA2wkVOQ1WoMMKENBe9M5jNjuN+dksFuZnsbQwX52WF3Og6crSAoJD1nZqmYe+7XCBcnJ9oQADLQNtXxhyn14EA22fFixfVm8rcPv2CqbOn8PsTFZ+iLKQm8fS4kJ1Wl5aBK0j0CWw7RTIqnQYaHvbfjj33VGAgZaBtjuWxal2QgEG2k6oyGmwAh1W4MGDB7h37x4ePnyIv/zlL/j888+bnoH2I6jttKeWgbap3LxywBVgoGWgHfAqEOvLZ6CNdfFw5gZVgUePHrUFtKTP3Gy2415aBtpBtTy+7s0UYKBloN3MPnhbtAow0EarP5+dFWiqQDOgXV5exurq6ob9Z7OXGWg3qMIrWIHOK8BAy0DbeaviFDulAANtp5TkdFiBDioQBNqjR49i7969+Nu//VtMTExsOMvM9CX5sZiKf+3E3P7dOD489X7HY3Nb5Y1CJuijt9zcDAjQpy9zLwcbCppXRK4AAy0DbeRGyBloqQADbUtpeAMrEJ0CQaB97733UCgU8J3vfCcUoKWPzP5r9LWOQ3IrmKX1DLTR2RqfuX0FGGgZaNu3Ft4zbAUYaMNWnM/HCrShQBBo1UdhrYD2P/+v/8D/9//83/iv11/Dq8b/u+vpzf/zX6F5ZhXkMtC2YRS8S+QKMNAy0EZuhJyBlgow0LaUZpcb8i7cytDOtZSK8NwMygPxAX7aRnVEulyz/WtHlpcCQ/pVNuUsAVcl2Lj7ht9FeJaQQ/GJlI1MvrhhD14RDwW2A7TdCDlQoBnWnIE2HnbHudhcAQZaBtrNLYS3RqkAA2231K+O015/grwp4EqO9GEn/gla+QeyhkC6VL/vxl8bgXbjPputCR5fQNZMwqAx6vkvdgow0PZIDG2zB1ffhu3FzqQ4Qx1QgIE23kDr2Tb8rcq5oc7mXRfkeyqmBczsVgfz9jgrwEDbrdJRQFvykNJNuI4Lj0A2a0AQuRZdGLYLQ6RRQh6mcFFECVlTg7BdOEYChjzAh60lIIQFr1gB0qIHkSxXXN8WsH3AtzUkTQeurSNhUfUswaM0HBeWmYSgnRAEWrrwDHRBLW8BmZQJx7WQ1F0UqvkBkLcgnLZdwN1Sc+DSZaDtEaBV9TxooQy0QTX6arnfgZbelKhRCIMjE9Iy9XdNoxbSG6ELU+dwt0mPK1EXdltA21BnPSGw5fOnb1fa0KivkM+/mQIMtJups5ttqtIUXeiag1yVCT0I4aGYNmDmAVmZVGUppSEM9YioINeHrVuVp05a1iEMWz5RUvZqQKvDko+mFWgNplVKw2wKtOW8yMss5OBlXBhD5cqdtwSIY/NWqg3P8W6E4mObKdAMaJvtR+s45KCVMm2sV3UvUJdKXgq66cJxPdAzaClrQjOcykMmvdHwIIY0pISLvKrn8OFoGizXgamPwNyyhWwjb7xL7BToZ6AlmF3MzckRCO/eXcX99fW6iWDh3t27KHzyCfybN+W2MApI1j9hw3UMJIxynSQHTkIIWF4RJY/WO3AtE0lRdvRsqLOewJCWgqA4QE/IN6PFYhE0uVoFaKt1meq3Dsd1kUroyJSK8FJD2Deky/OFcc18jp0pwEC7M922PqpaOahF9OEZSaRy5cM8g+JYUyB0LaUFNE1IuCWvrSDKlX8BoK1UUulhJaBNirK3N9AIK7CtemGDaUlv8EYPbTFDFbtAmYAQaRRKFcCm8xccpJw0UtKDXMkSz0JToO2Rwj79VHZz1Y3hb8OKn6XzRBZD2wRoi64OzclVYt1LSOtJWJkMMhkTI/KNhgehZ8q2oOp53oSohA8hbzLQhlZTwj1RPwMt3UPIA3t39U5TUWm0QvpAVd2baLn7fyWkhSHbSjqXCtnzbeXACW4vIW0S0Daps56AqrIEtCMm1efyZI40AVq1s6rfgftE96+Zz7BTBRhod6rcVsepipClVxUUQqDDqQT3lNIa/lE2jBS44yL5z2W4pTABCjnQ5f4azCx5g4JhAmrZh12BWgWyal7bvwhPJCAcB2aKwhgqQJsYgi4EdC0B3c5JDxRKHoyEgOOaSOxRr1/oprAHVYfxVtfL2zuqwM0bN3D+3BlcungB05cvYSY7jbnZmbppJntZvvrrxkhhYcJspEBbsCHKrzaqbzuoIEu+ByOZAtUQVzfgVbw5RRlyHnizUa3nlVAiOjhrwGAPbUfrQ1wS63egpT6g799f3yA39X/9pz/9KQKgLcIVZvWNZA1oy6F2oPpZ3V6EaxDQNqmzqp7SlQWX5c8mQKvaZ7UvA+0Gm4jjCgbaOJZKp/MU9B61nXYBjrCqN5K2D+MdO6LArY99fHDqJCY/TOOj0x/izEeTOHcmU53On81ImKVwA4ptIw9n2BDayfNF5qGlB8ZkEpZjQwwlZDx6luLSXQeG7shQnyK90tTplacJU3ZL0gRoA+mkBIccdKQSxDCRfgZaipOl+8n6+sbeb37+858jmUxGALSVkB9Z/wxoZhbSzVP5doRMpOgJJIQDx0xBq7zN3FBnFZjSAcHldoG2lIY+kkKaewaKYa2sZYmBtqZFny0VkTF0GKaQH3pVnMNtXmMeaUFffG68sbWZAO+2SwVu317B2TMf4aJ3HpcuTGH60gXZ2FCDQxN5UsgzSzDb6+EGkXpod1lOfPhgKRAHoP3TH0/gz3/6Y8cfYBuBdnx8HF/84hdBcwW0v/rVr/B3f/d3ePvttyXcDlbp89XGXQEG2riXEOdvIBUofHJbwuxsdlrGtRG4Br86Vl8i97pnVnl5o/PQDqR58UXvUIE4AC3VmXeP/wG/Hz+GPzrvdGR678S7cP5g4/e/O4ZPPrldVWd5eVmOUEjDbj/22GP48Y9/jNnZWdy7d4+BtqoSL8RFAQbauJQE54MVCChAQHv5oidhlr487gcvrILXZnMG2kDh82JsFYgL0FIdOpv5CBN/OtGR6c8T7+G9E8fxztu/R6HwSVV/ip2lEQoJaP/mb/4GzzzzDCYnJxloqwrxQpwUYKCNU2lwXliBigIMtD3SDy1b7EApECegbfZguJt1jSEHo6OjEmYJalXIwdGjR/GFL3yBQw4Gyup752IZaHunrDinA6QAAy0D7QCZe89c6iABbbBQFNCG321XMBe8zApsrgAD7eb68FZWIBIFGGgZaCMxPD7ppgoMKtBG123XpsXBG1mBOgUYaOvk4B+sQDwUYKBloI2HJXIuggoMAtCu3onTwApB9XmZFdhcAQbazfXhraxAJAow0DLQRmJ4fNJNFehnoKUPT6k7wOlLF3F75ZYcFlYND0tz6tlgdXUVt2/fxo0bN5r2V7upeLyRFeiyAgy0XRaYk2cFdqIAAy0D7U7sho/prgL9DrQ09O2lCx6mzp2pDuKiBnShwV1okJcP06dwcsKV0NtdtTl1VmB7CjDQbk8v3psVCEUBBtp2gLYAVwiITSeXR7sLxWIH4yT9DLTUdR51EUhQS55aNYiLmtPgLjTIi3f+LDIfncadQmEwCp2vsmcUYKDtVlHlXQgnV5d6IWPC8nY6+lZguM26VPlHPyrAQNsO0OYhNHfDq9Hga1JXq4zT3o9GwtcUugL9DLTU5RdBrRq0JTiQCy3T4C4EuwS4F6bO4e7qauj68wlZgc0UYKDdTJ3dbPME9u0TcKoPsXlYyX3Q7O0NQusJ1SAz0O6mOHrtWAbaNoF2xEQmk0HG0TGiO3LZ0UegOxm5bI6o+tPcAkp5DxlVR/007OqPHFw33/ygwFo/MKY8rS6macjowA5bLBY9q+JhTsHO5LHTx90tTsObO6RAvwPtZv3YEuiSB5eG3KZBX+7ejRvQ+rCFjWALW/RcNPqQfNuG1yF74GTipQADbbfKwxMQjgNhVRrFrAnTsSAqQFvKmtCEDdcxkDA82ZD5toak6cC1dSTouLyLxL59SAh6bepBDOlwXBephIY0t3zdKrlYpMtA2ybQikrT5NvQzZz01uZMDWauKJe39ND6aQi3XJl8O4F/Io8vWUDWgEiXtrSFRqDd8oCGHYLHF7ImkoaHrc/akAj/DE0BBtoIgJba0rYIdCPQBuuXMhIGWqVE/80ZaLtVprISlpAWBrIowBEW8r5dAVq1vnzyvClAbapv67Dk42WtYtZ5aPVM+YC2K3i3Lo7T7bYCDLTbB9rEkC69nfrQPgzpKrZ2qxjaPAyRRglFuIYN1xAgjlV1Er4LoZlwXAuaVvb+0INnQggZPlRuMIvwRBLyWVXVTU9gSHfguikk9EwZUn0HmmbBdUzoI6b0EjU2uBm97FEuZFIwHRdWUodbAEppAUN6fiv3jpKHlG7CdTZ6oLptm4OcPgNt2ECbh5vYh30JAXphsqFeeCnopgvHJadQpd0sehBJVVdFuV42qXuDbMf9eu0MtN0qWdWw5S2kUikIapWqQFuEK8zqxyqq8aw1bi2AVj2mqrS7lXdON3IFGGi3D7Q1D60O23OQ3DeEkUQCiUQCVn04e135yofGYhqGmQdk3arVP1U36QAFlbUHz/JDqC4M2Co6QdVNT6D2/FmG1GBaebM50NYeYAvIeRm4xlDZO1VKQxDRltJI0dubogtdc5BT4RJ1V8Q/uqUAA23YQItKnVQlWl8viq4OzcmhXA182LoOYdjVtlW1qc3qnkqR5/2jAANtt8pSNWzknU2SlxYBoAVkyIFeDjnQzKz04KjKB/WkCSBvjUCzsvAp5ICBtlulFbt0GWi3D7Q1D20Ctk9e0xchvDZe4HuG9OymqJISOGoaBMGtjDwoe2xpuQa0Fa+PrNI6dJGEUIF6qt6ruWyPy0CbrXh/y+kaGz20xYz8yK0A8sIKpAulusY8a5pIOwIqigklH56RRGoTWJcXwf86pgADbZRA27xelHwPRjKFHLWbBLRJUY2bVW1qs7rXMaPghGKjAANtbIqCM8IK1BRgoN0+0Kr4dNWIATmkhgxkt2LaUhraP6qPx4pwk/8MCbdUHD55QlMy5EDXXfnBSS19ekYtw61vV6BWgayaB4CW3tAkkxYcOwVRDTlIlMMjdA0J3UZOBvCW4BkJCMeFmdhTix/MW3gx4ZS9UVkKX3LhGDqc4FcwNRPipS4owEAbAdDmLYxoFrL+xnqRpfrnOjB0B37VEeTDrkCtqp/N6l4XzIOTjFgBBtqIC4BPzwo0U4CBth2gbd0PbSqdR94egRbLryfrY+iblX/TdW1+qNb0WF7ZEQUYaCMA2o6UHCcyCAow0A5CKfM19pwCDLTtAO0mxVqwMfRPL0KrDLrQRg9cmyTWoU05G5owYWhJmNntdVNS8CwYRtlD3KHccDI7UICBloF2B2bDh4SkAANtSELzaViB7SjAQLtLoN2O2LwvK9CmAgy0DLRtmgrvFoECDLQRiM6nZAW2UoCBloF2Kxvh7eErwEDLQBu+1fEZ21WAgbZdpXg/ViBEBRhoGWhDNDc+VZsKMNAy0LZpKrxbBAow0EYgOp+SFdhKAQZaBtqtbIS3h68AAy0DbfhWx2dsVwEG2naV4v1YgRAVYKBloA3R3PhUbSrAQMtA26ap8G4RKMBAG4HofEpWYCsFGGgZaLeyEd4evgIMtAy04Vsdn7FdBRho21WK92MFQlSAgZaBNkRz41O1qQADLQNtm6bCu0WgwEACbenhQ/DEGsTZBm597OPyRQ/zs1ks5uawvJhDfnmxb6crSwtYWphHbm4Gs9nLmL7MQBtBe8Cn3EIBBloG2i1MhDdHqMBAAm2EevOpWYG2FGAPLQNtW4bCO4WqAAMtA22oBscn25YCDLTbkot3ZgXCUYCBloE2HEvjs2xHAQbaaIE2Zwm4hWCJ+bCFDT+4ipcHVgEG2oEter7wOCvAQMtAG2f7HNS8MdBGALSegPAaLK66joG2QZmB/slAO9DFzxcfVwUYaBlo42qbg5wvBtqwgTYPN7EP+xICbh7wbQHbD65TQFtC1tRgOA6MhAGvNMhWOrjXzkA7uGXPVx5jBRhoGWhjbJ4DmzUG2rCBFkDVG6uANriuArSlNPSkhUwmg4w5stGjO7AWO1gXzkA7WOXNV9sjCjDQMtD2iKkOVDYZaGMKtEUXuuGhWCzKiR20A1UtqxfLQFuVghdYgfgowEDLQBsfa+ScKAUYaCMA2ryFEc1C1g94aKvrVMhBEZ6RgG67cEwTmboPx1Tp8bzfFWCg7fcS5uvrSQUYaBloe9Jw+zzTDLQRAG2f2xRfXucUYKDtnJbhpvTpGlYfhXtKPlt4CjDQMtCGZ218pnYVYKBloG3XVni/8BVgoG1X8zsfwzw2j4OHFzE6t97iqJs4ePgmADVvsdtuVz8qwDyyAHHkCpYZanerZiyPZ6BloI2lYQ54phhoGWgHvArE+vIZaNspnrWr2D92A6vVfT+rLtUvKJBV8/qtHfklYbYCssHljiTOicRFAQZaBtq42CLno6YAAy0Dbc0aeCluCjDQtlEiy8fnYd5q3PEujo/N49Cp6xh9bR7jtwhyFciq+QrGx/I4fmoBe4+tyAT8iTnsHVvC+NklDB++KiHZn5jHwVPXYXoUyX4Xxw/PY/TUEoZfyzeMgHIH441eWQm1eSw3Zo9/97QCDLQMtD1twH2aeQZaBto+Ne2+uCwG2jaKcWpsHhONr/bzSzg4WQk9eHQdB48QsCqQVfPP8ODWCia8Kxg2rkg4JXhVcLx8fAHjd4CZY3MQl+/gAeUlv4ThsauY8G5g/PBcdV9gDcePtQLXOxg/VobjNi6Hd+kBBRhoGWh7wEwHLosMtAy0A2f0PXTBDLRtFNbq5DwOevfr91xcxMGzD8vrWgHtjSXsP/4JHjy6C/OwAtqFKqQu2ws4vkZJPMJqPo/95LFdXMT+U3exuraO1bX7ZcitPzP/GgAFGGgZaAfAzHvuEhloGWh7zmgHKMMMtG0V9j1MjM3ixcMLEGMLOOQRhZZDA2TIweF5HJchCcozW5nfymP4l0sYn1jAj6oe2jn86LUljJ9awItHbuIB1jBxbFGGIBy06fcdjL82J0MZxo9cxUxb+eOd+k0BBtp+Adr7WF1rfL3Tb9Y6ONfDQMtAOzjW3ntXykAbcpn5EzUPbcin5tP1kAIMtDsF2nuYmljEfnr4PH4z8CFnsPDVGxM1D27r5PIjLE9QbyQLMG8w1HZS2ajSYqBloI3K9vi8WyvAQLu1Rh3dw59cxPE7HU2SE+tDBRhodwK0azh+eAGn11QvJGreaCAKZNW8cXsnfpdhtgyyweVOpM1pRKUAAy0DbVS2x+fdWgEG2q014j1YgdAVYKDdAdDeuoL9E3cbyuohpux5HJy4jvEj9PElxcIrkFXze5g41tjzyFa9kZTTFaeuQhiLmKpzwH4mPbP1Xtky1JZ7Q2nIIv/sGQUYaBloe8ZYBzCjDLQDWOh8yfFXgIF2B0A7t4D96kNNVcTVDzZpxScYlV3lKZBVcwBrn+C0dx3iPxZwGsCWvZE8uo79v7wieyOZODaLg5fVCYHVycVKN361deUlAl1+Q9OoSi/9ZqDtNaAtwnM9FBuMzLPthi4xG3bgnz2pwMAB7YWpcz1ZUJzpwVKgEWivLC0gv7zYtxNd39LCPHJzM5jNXsb05R0ALQ2AcvhGfc8ga1dx0P6kYjwtgPbRDRw8fB2rjz7DaQpZkEBbi3Vv2hsJnevIzUpvJOt4UOehHSxbHaSrZaDtNaD1YYuN8MpA25+1drCAdjYLBtr+NOR+uyoC2ulLFzA/m5Wgx0DbTgl/htWzC9j7y3nZG8nBYzS6XzDkYB6HFqmrPeWZrcwf3YQwFjA+uYQXNQW0W/VGch+nj8yVQxnsJZzmuPh2Cqjn92GgDR9oPSHgScvxIAQt+bB1Ace1kc7TBh+ursNyLGiaA5+2awkIYcEr1oC25BlIGA5cy0SyCeT2vHHyBWBggHYxV6uIDx9W+o9lA2AFYqrAtat5zExfkh5L8lwy0IZbUNwbSbh698rZGGhr7ejdu7XB4LtZfhuBNodU0oDnl8qnzZtIGi4ymQwcXYPtE/BalZACBbQlpIWBrDyihLS50WvbzWvgtMNRoO+Bll7TLi/mQEBL3i56nUle2unpS3K6fPECLl30eGINIrUBssPpSxfLNnnpAi5dmMLczDQW5mfZQxvOvbDuLNwbSZ0c/KOiAANtNECbkforDy39KCDnaNDdIpA1oDk+isWinErkoa16YNVyEa4wIR26KMI1GGj7sVIPBNCq+DyCg7nZLLKXL+LC1HlMnTuDc2c+wpmPTsspM3kaPLEGYdqAsr2zmUlpi97UOVy+6MkHL3oAowcxeiBjD20/3n75mnpNAQba8IFWhgoIB66ZwB4KOSikkUpR6IAO0yMvbTnEIOW4sA0HuaZACxQ9gYRw4JgpaFXg7TUL5PxupsDAAK3y0tJHJ+T5ote5FKN46YKHixemypN3Hhd5Yg3CtIGK7ZEdEsjSwxa9RSCYHRTvLL1FUQ+du/oobLM7HW9jBTqgAANt+EDbgWLjJAZEgYEAWtVg1kHtbFaCLcEDwa2aCCh4Yg3CsgFldzQnW6Q3CEGYHQTvrKqfFCss36LMTO+sl4MBuWnzZUanQG5+bqBi26luqkm1n3SPoofvsGJooyttPnOvKTBQQEteIKqUquGkxpM8QgQQPLEGUdsA2SLZJIUZkI0OCswqoKXrVUCbvXyp1+6lnN8BUICBlj20A2DmPXuJAwO0qtFUUKvAlsCBJoIInliDKGxA2aCaK5Dt97hZ5flRdbMKtDLOnYG2Z1uVPs74fCVkjR68VD0N2nE/L9P10v2RPbR9bOA9fmkDBbTqZkOgwBNrEGcbULY6KHMqC9Vgkqec4tsXcvOyX8H76+tYXy/yxBpEYgNkf/QF/ZXlJfmqnYCOwI6BNpxuu3qcsTj7ISowkEA7KJDA11mL/2It4q8FQS15qdWHmxSnRz2RUE8QH53+EJMffoDTH6Z5Yg1CsQGyN7I7sj+yQ+pKj+LcyT4V0A7SfUU9cLKHNkRC41NtSwEG2kDQ+yDdnPha4w94g1ZGyktLr3PJS0vwUO2JxDsv+4/2zp8FT6xBGDZA/ZXLXm8uTEk7VB9tkn3SgxfZ6yDVUQbabbEV7xyBAgy0DLQDdVMepAao165VAS3BgoJa1cUe9TpBcEteW55YgzBsgOyNJuqBhOyQHrIUzA5auAHdSxhoIyA0PuW2FGCgZaBloGUbiI0NBKGWXuuqXkjoNSdBBU+sQag2UOkBR/VAQg9bgwizDLTb4ireOSIFGGgZZmIDM73mUeT8didsg6C2EWwJbsk7xhNrEKYNkN3RpEB2UGGWgTYiQuPTbksBBloGWgZatoHY2YCCWgW2BBI8sQZR2UDQHgf1QZa0J7hXH4XduVPAo0clnliD2NjA3dU7Mu492BNJ3OrrY3HLEOenO5451pV1bWUDQaDgZe5yL0wbaGWTg7a+EWh5pLBtOQ955xAUKK7dY6AdtBsTXy+DI9sA2wDbANvAdmyAgTYEIuNT7EoBBlp+3Ry7183bucnyvtwosw2wDbANdN8GGGh3xVp8cAgKMNAy0DLQsg2wDbANsA2wDWxqAwy0IRAZn2JXCjDQ8k1s05sYez667/lgjVljtgG2gbjbAAPtrliLDw5BAQZaBloGWrYBtgG2AbYBtoFNbYCBNgQi41PsSgEGWr6JbXoTi7vXgPPHni22AbYBtoHu2wAD7a5Yiw8OQQEGWgZaBlq2AbYBtgG2AbaBTW2gb4F2bQ2rIcAWn6L7CjDQ8k1s05sYez667/lgjVljtgG2gbjbQKeA9sGN6xgdW8DBsQUcv9ECci4v4OBlAGreYrddr167gUNHFiCO3WCo3bWY0SfAQMtAy0DLNsA2wDbANsA2sKkNdARoFxcxfLxQIZ/PWhOQAlk1b73nzrcQzCqQDS7vPEU+MmIFGGj5JrbpTSzuXgPOH3u22AbYBtgGum8Duwfaz3D68P/f3h38NJGGcRzf/3aPHPkHNumx2YMhe2iacKgJB3vooccq3V2MAgUR2hnbwjRQxBhQYlCaTX7mmfKugtpEbWfed/wemkbBMrzzYfi+D0Psa+Nu9JyNVKoMVd8caqmS6NDe7kLWPQ8SlVvHqtd6WhlYCI9V+jNWtXmywh9wAAAFhklEQVSs+lo0/bvJWCurQzXbI21cSrLXXR2q3oi11H5z+6NejT/FrHtLGrVjvXd/5jm4FSBoCVqCFgMYwAAGMDDTwM8H7VvVK8NpsH6WSoeNvpoWoJLeb/ZVHnwlaPVBp4MTtZqRfm9ZnI5VWnX3K5yoVBtLlyMtVxJ1Lyfpax02IpUfn6i1k2i5cqTT6YeQJq9UbXwjXC10m6/ce/Ic2AoQtFzEZl7EmHwsfvLBGrPGGMCA7wZ+Pmil7oNI989u32rQWeurNW3QbwbtYSNWNbmSzo5U+j9ox9PcmhyrtHYToZNzbdjENpE6a7HqZ+90cflOF1cfAkszDvdHVoCgJWgJWgxgAAMYwMBMA/MIWl29VvWvnpZrfZVrseo2jU1vORiktxyUVkfTSaq71eDm+bQVaakx0v1a79OE9o9IK62RqhUL1/+kQaKS3ZaQhqy9bqKle/a6icptpq4/Eoih/RuClovYzIuY71MDjo/JFgYwgIHFG5hL0M6tkOyWg5sJ7dxekxcKfQUIWoKWoMUABjCAAQzMNOBX0L7UyoOXofcXxz/nFSBouYjNvIgx+Vj85IM1Zo0xgAHfDfgVtHMuIV6uECtA0BK0BC0GMIABDGBgpgGCthDNV+hPgqDlIjbzIub71IDjY7KFAQxgYPEGCNpCt2AhPjkL2r3djqLegQYvIplZ364Nv/l2QBzP4i+erDFrjAEMYMAfAy5o496Bnj/b0ds3d/6zgkIkEZ9EyCvggtaMErRMa73bzfANzZ9vaJwLzgUGfl0DR8N+GgkWC/t7u7o4Pw+5fTj2Aq6AbbLMJkFLzBKzGMAABjCAga8asKAd9mO9iLrq7u8p7nV1fX1dwCziUwpxBcyi3WpgNs2oWTWzvm3CueWAC6x3KH37IuF4ft3JGeeec5+FARe0/biXhoNNwra3nurJ43/1T3tdf68/Unv9odqPeLAGGRhYf5iaM3tm0CyaSYtaM0rQEo6EIwYwgAEMYOALAxa07j5am4BF3f00IJ7tdLTb2VJn66m2N5/wYA0yM2DmdrY3ZQYtZnsHz2/dbsCElgvZFxeyLHb/fAymTBjAAAb8NvD5lNbuU7SotR/xWkzYL4rt7fJgDbIzYObMnhk0i2bS5+msXd+45YDIJrIxgAEMYCBnA25Kaz/Otd8it0mtC1sLCpuQ8WANsjJg5lzImkUzaTbtJwk+TmcJ2pwvYExM/J6YcH44PxjAQJYGLBTuhq1NxexhUcGDNcjKgHN3N2R9jVn7OmVCS9QymcEABjCAAU8MuKh1YWsTMZuM8WANsjZg9txE1rnMcoP3vR+LoPXkIva9J473Z3KEAQxgoNgGXETwPJ1csw75rEMo1xmClqBlMoMBDGAAAxjAAAaCNkDQAjhowKHsHDnOYk/SOL+cXwxgAAP5GiBoCVqCFgMYwAAGMIABDARtgKAFcNCA2RHnuyNm/Vl/DGAAAxjwwQBBS9AStBjAAAYwgAEMYCBoAwQtgIMG7MOukGNgOoEBDGAAAxjI1wBBS9AStBjAAAYwgAEMYCBoAwQtgIMGzI443x0x68/6YwADGMCADwYIWoKWoMUABjCAAQxgAANBGyBoARw0YB92hRwD0wkMYAADGMBAvgYIWoKWoMUABjCAAQxgAANBGyBoARw0YHbE+e6IWX/WHwMYwAAGfDBA0BK0BC0GMIABDGAAAxgI2gBBC+CgAfuwK+QYmE5gAAMYwAAG8jVA0BK0BC0GMIABDGAAAxgI2gBBC+CgAbMjzndHzPqz/hjAAAYw4IMBgpagJWgxgAEMYAADGMBA0AYIWgAHDdiHXSHHwHQCAxjAAAYwkK8BgpagJWgxgAEMYAADGMBA0AYIWgAHDZgdcb47Ytaf9ccABjCAAR8MfAT/nKVfVKj8jwAAAABJRU5ErkJggg==)
There are a few two-way relationships here, this enables creative use of the decomposition visual to start at any point in the graph.
For this increment, the URLs from the Logics Apps are pasted into the Power BI Power Query statements. Hopefully, the next increment will automate this, the aim is to have two parameters for the data model, a Group Name and a URL. The data model is intended to be deployed separately to the reporting, which can be Power BI, Paginated reports, or Excel.
The data model starts for a single group, the group name is provided as a parameter. All data apart from category names is provided by Azure logic apps. this ensures that the model is compliant with the firewall and security considerations for data sources.
To initiate the model a list of groups is returned from an Azure Function and the group name parameter is used to filter it down to one group Id. This basic query is converted into a function so that it can be called from other queries. A list of plans for the group is retrieved by calling the group function to get the group ID and then calling the logic app to get a list of plans.
Let's have a look at this process:
let
longUrl = "https://etc...",
urlParts = Uri.Parts(longUrl),
Headers = [#"Content-Type" = "application/json"],
Url = "https://" & urlParts[Host],
Source = Json.Document(Web.Contents(Url,
[Headers=Headers,
Content=Text.ToBinary(""),
RelativePath=urlParts[Path],
Query=urlParts[Query]])),
#"Converted to Table" = Table.FromList(Source, Splitter.SplitTextByDelimiter(","), null, null, ExtraValues.Error),
#"Renamed Columns" = Table.RenameColumns(#"Converted to Table",{{"Column1", "groupId"}, {"Column2", "groupName"}}),
#"Filtered Rows" = Table.SelectRows(#"Renamed Columns", each ([groupName] = pGroupName)),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"groupName"})
in
#"Removed Columns"{0}[groupId]
This query returns a single value and is then wrapped in a function fxGroupId that is called whenever a GroupId is needed like this: groupId = fxGroupId(pGroupName)
This is the general pattern for the queries. To comply with Power Query firewall requirements all data except for the initial group name, which is a parameter, must be retrieved from either the web or from the power query model, but not both. A query to and API wrapped in a function helps to achieve this goal. Some of the function queries have dummy parameters to aid development, as the approach is to test the query and then convert it into a function for use by the other queries. When the function is called the parameter supplied replaces the parameter used to develop the query. If the function needs to change, the query is updated which automatically updates the query.
This is what the Plan Tasks function currently looks like:
![](data:image/png;base64,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)
Plan buckets are retrieved from a logic app using a query that references a dummy Plan Id parameter. This query is also converted into a function so that it can be called to build the Bucket table. All table entities are referenced by their GUID Ids. Plan tasks are also retrieved from a logic app using the dummy planner id. The task table includes bucket details. This query is also turned into a function.
The task detail query retrieves checklist details for each task this is also converted into a function, there is a dummy task Id parameter.
The Task Detail table is created by retrieving all the plans for the group and then using the plan is to retrieve the tasks for each plan if the task has an item count greater than 0 the task detail function is called to retrieve checklist items. Which are added as a table at the end of each task row but not expanded, this column is then hidden from the report view, it is used in the checklist query to retrieve the items. The main task table is the fact table for the data model.
The Task checklist table is created by referencing the task detail table and removing all columns except for the task ID and the checklist table column the checklist table is then expanded.
The category table is created by retrieving the category details for each plan from a logic app the categories are then merged with a default category table and a unique instance ID is created by appending the category name to the plan ID. The task detail table has a column that also contains this unique key which is the first category for any task. This is necessary because categories do not have a unique GUID identifier.
This is a big query, here are the highlights:
// Query
value = Source[value],
// Add the tasks
Table.AddColumn(…, "Tasks", each fxPlanTasks([planId],pGroupName)),
// Expand The Tasks
Table.ExpandTableColumn(…, "Tasks", {…}),
// Get the ChecklistItems, but don’t expand them
Table.AddColumn(…, "Custom", each if [checklistItemCount] > 0 then "function" else null),
// Make sure there is a start date
each if [startDateTime] = null then fxPreviousDate([dueDate]) else DateTime.Date([startDateTime]),
// Extract All Assignees as a list
Table.AddColumn(.., "userId", each Record.FieldNames([assignments])),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"startDateTime", "dueDateTime", "assignments"}),
#"Expanded userId" = Table.ExpandListColumn(#"Removed Columns", "userId"),
#"Added Custom1" = Table.AddColumn(#"Expanded userId", "categoryList", each Record.FieldNames([appliedCategories])),
#"Added Custom2" = Table.AddColumn(#"Added Custom1", "Category", each if List.IsEmpty([categoryList]) then "" else [categoryList]{0}),
#"Merged Columns" = Table.CombineColumns(#"Added Custom2",{"planId", "Category"},Combiner.CombineTextByDelimiter("", QuoteStyle.None),"planCategory"),
#"Removed Columns1" = Table.RemoveColumns(#"Merged Columns",{"appliedCategories", "categoryList"}),
#"Added Conditional Column2" = Table.AddColumn(#"Removed Columns1", "CheckList", each if [checklistItemCount] > 0 then fxCheckList([taskId]) else null)
in
#"Added Conditional Column2"
A user table is constructed from a logic app for all users who belong to the group, this has the User GUID Id as a key
Next Steps
The next increment focuses and an improved, simpler and more efficient, API, this is being achieved using Azure API management. Also in the pipeline is the deployment project and of course a Power BI App.
The product is now looking like four layers for deployment:
- Power App/Query Layer
- API Management - provide security and transformation
- Semantic Model in the Power BI Service
- Visual Power BI Layer
Questions and feedback are welcome, this is a rapidly developing and evolving project, you can get me on Twitter