bipolaroidbipolaroid/src/show_histograms.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "image/png": 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vKrpVyIfzTRMarNrnvRaKEm4F6lS48bbCM0sIxtDEhtNhxFSF7haMVzUl/PZj61K4FQJvv6XsTAVPPoQ8dg/nOhZvLsS6JpmGYTjlscciVRV55pkd148C3ipPX1aMq0AywJNnPCyOlWTgLve9JxrDwyHwVJmx1gZY8LBsOaIj0HNPj9g6D4+ds6yEyglXBtx9h98Y5qanDECE68Zw4T1rUzEM1/B+h3M9fX/EERtm7Nm0LdUq4ZtIfEthxoLazLnb7BmjIxaP+X+OIDlMhI8wbyZcGcZLy/EscN4o9xql3bSs2sTRPHJ+rvThlD5ep2meRqQgqjwyjuyt5dI/eB8tE+kkUT9Vs0wLTljxNHdos+c4znnzo09ju8TsHLYfaVhWwi1VxjcpXbFsqprlMKOpAs1iyzNDTVIDCg+HI4Jk7le/fR45nC+WaF3gpKfZFUw+vBd61yMIbWp/+1zjB+ZLgUoYKoEEpjfU5zXXQktdMk423K4q9rY879wE4PuephSORbhb14z2sDzcDKgo1e3qHZwjKsbxJo8++jTOjbz5zcfU9YCtIywgziOKUj1dEW8uya6BN9U8xG3qescTHwnl7XPoLc3/u+X6U1B38OaPgKOnC9VWubOC2U5xETYnh+NCtrC5zoINletZv0TwmwrXHe7bj0KgBe49/jBjuiKNa45uK73OGGUGOG7InpXd8+brcG3vON553qQrBIdDMO0FsR2JVYbbK9AWxKNHb4O6wdQzcJcc71uubefY8Zyts1xWjv6sR7c1nDf8v3bHqJl1KcTZjOg9wXnqdY0xAVP1v+NzDsOyRe0IuuMjtqAjdEE5NobeWu5X1eH1SolZCGybhlBaQljyMi5ILnO/gt711Klw2hm2TQOl4MeR8f+5gWbgzo7wUECyUN31ONeTq8J+YeCZx7BJqOv7AOQmE28drlWmN/g7nnExUufCwxdgkecyft52Uxmsob6s8f1AqZXuI2eU4Zh6rzz0zDPc1gUJw3U27OuKYFrG8RYP8zS+2vLWh6BaV7jRPfcezM6i//chwEEV4eEnuHkfZjvLWo/Yy5JoLHV9B5oTsDV0tzkJc6riuVtfMYaanB1tu+d0dkLrW57ePH049lYZHx9x5w67rijDLcRvsGbDvO8Zq4rgaobhFty4wK6uuPamGcO8Zpx72Gw4KZGlZp40NUNwxGjJ+R7vyodMpGkKmkwmk8lkMvlQlUQZRNF9Qt2IuTYyOx9REkUhRk/ODhFLKz2FQFDoMGTXkGcVLveEKnJ/lhnNBl8SR/cHQlbG2pCWFbYfMSEhCrOhQoJlaxzRZMo8EeeZuDaU4kmqaOeeu8Fq9uCLYxaPKKagHMZe2mwOgRjgRAKmyXA0sB0FmypWyXNlI1kKKDR5TnGZ/WKL7SymGKpcISqU4sh5hrUDpg6URSEFQ04NEiti6bAh0dyNhCCoFLzv6AtgBU52+F2NjYJ3gU4ET8XplaWPNUOp0G6kREdFjQ0dSYTsDYUN62DR2ALKeFQTrKDZk5oOlUKKK1juEB+wW0uTMqZAqgwZQ8CzTIkxKykdAjbqEzoDH+zhmBlIdwfiCINzVDGiaY4JDauyY6+FTkDmkTo0uHs1HYDLiM2Mlz2gVBjW1IyNwrzHdQ4TCjpmyA1Fa6JWrNgymprRtpwNI0JBLFwJjMUQYgVHHSIjfmcIxdLZyL2qUFCMyXgf2IolGQEVLvOKQMLL4UaxEpjPIsNGKQMU63FmDz4S1BMXGYpih8MNvNHDa84IppjDm6dtEZ/RWcB2K0xwgCE4h1PPtXXLul0TM7BumRVD5TK6CHSdJWlFdjNULikERoWFhSiWLtR0pmCkEPegWUAsxs6w4wbJiStrMYNljqXhiu3Gk2RFD5QslGIBJa97ig8AZGOQB3eZdrCIAD7Q1Z4snnankBIiQl8K2ExNYJavGLVwjqEFih/AR/zek7KjOMN832G7jI2FmRH2YgjecCVCpw05Vcz1CiUdPonOEHEMUhHTDLoRHsTKC4WkHcSWeXnwuqXCODrGwXLRHJGLJYlFuGKQBJJJq8QuetLVjDYETE5YPcfFQMAS8Gy0oeRATWB0jnaA6hyuBsOuZJLsCccBYsEgaFYKhuQtdiuIKCllbLVCkhBiYbSRaCLbUtAYESzqHJczJZlMtBE3OjQ7cq5xLoJPiI8PbvsPZ62TxpGTpe9rVigi4LOAcUixrCrL0OVDwA/YWMEZixcLbaapCnVtyGsoo5BzhdjMYITzsiAyUEwit5mymyFZgIj4hHpDquccbXtkHMluzWaMSChAAfTwnwFssc+dT+frHjGBvavZ54a+WLRfwywgrSEDAzWaLYvLPaUWBgfHnaI4sjf4BNlnigXvAyBkUzG7nKMpIRSWIuQjYe0Luu9QiYe/8w6DUGk6rMfAxlbofkEJI4WAdyMq8cGVQWGsIApyPaB7gb0i4xlWCzYn6gKSM1sJiHNkDG0QZmthTMroC7GcEM1Idj0xzVAUTyTXAVCMKj4lUqWEmaD9/BAYs56dghWPlZat2zHUjjhrcPuB1MDuSAglkSUhUrjsE5SCqOU0eqQogxdUhGIhtZAvwWRLFReUzQ71mbTK5LiiZNDLEUn63GvpFhnjQK8O4RPNjlQv8f0FJhe2zmMAVUvOc+IO1ECMQlkkmCUg4YYeGWDvPaKH571Nc/w80bqMjMpoDQFHcxnJJhMrxQXHcg0ima3f45IgGbrdMTsyoSrYsUeYgXo0zhGTwAZsCHQVdNYRekspBjBobBi7HkyPDZY4j5S6sLo3Q7uCRmV0W2baU2lmdyrE0ZCD0LgLTN9hkzLaQmxG0iyCrek6ofSREA/nzKrK73aM9B4HpT6Yg0Pv7b59oJ7HB+Jb5w/2YzCZTCaT53tfzr+/+7Ev5jVaRJ63vt99DXtft/HBPJ74nd7R835PiSoJGFBkiNiTDnO8Y3GZiFgG9aRUoeoxYqnNJZlExtAXQ3EV0ljqoSNUmX0TwW5ou8LqMnFZCoMzpNZTXwxIzqiF2a4hqGMrFbHZUWaRdC0ShgqTDKqgfQ2mYHzE76FVx5HM6WxPNBG1SnFbtAgSa05kxFcFPU2k2xU2Vxylmr7aE01BEOo0I7lEWq4xwWKioS41okpWSypLatcj7Ui8PpDuzSE1SJoTVKjiSH2vkGpBTcaYPb1CMSAnO+x4hisWX2/oFHw5BDTusqRTS+k7ms7jUaxekeoadYKwYT82FG2o5x3hqCI3Hh3nQIIYSXmJ1D0yy9iNo8oFXzJDYykIUR0VhTEXYlKkCKXKFFdwCCBoMcS7gVQp0TtsSmhqMcOSVVkTyCSTkTYx3xwx35ywaweyj0gVGG7Dg4QrNosGPUmYowH3Ngvj4QZfywxoUKmYcUnxczp7xPF4gTVKqZQnBFKxaPLYecYNI35TCMXTu8BQKfNocKagZmSHBRFU4Twf4cpIpREFmiYzX0TihaLJYtTjzA6sMOJJsxETFdM/G5SymGIx6fD5KQKmqaFJsAS5XGEGg5We6By+eM4uT+iPeopAGRa0JGoXkGVkCOZwE1itEHYUTfSmsLSGpJZt9AxNwUiCnVIQxFisX+K6DZoL66bG9TUzLRzbNcPmGkEbBjGQE4f8jELeDiQzQlWRsDx7BnCjO2Sn+Mh+LnRiYSuUXBBgj6CmUNnIkfbcLy1DcVwXQ6kD4gW/b4g0qLNcu9sjFAxQiWNfWYI1BDXEWKPRMeM+IxWBCrFQrCWIJ3Ut9EBQaoEigSQB8jEzdhyZgZJ6NqMj9RUX9gyKQ0QouiPq4UY7LQrx0tNtlryUDkuPZYsUSNoQi2PDnJodVekI1lL3sNrBVTbsNbOjw84SJRRSLJQkiFqy97itICkxxky9WlEoxGHP0ESKyYxFWeaIESXhuJgpagtGIzZYSrHE2NI0VxgfMFWkSAX6IEheOUbxbGLNnIyjYBE6dVh1HC08ZR+JQVEDGwyoUhtH3QTqplC3jvVOyBhybMl1JmFYj6fUcg9sJLcRvXsCwUF9BT6hjSUdNTRdT0Wgq9bsxkAqcvgAP/vGH8CMv51FONsOuKKMVWSvx2RtYbfFzDJSFXKBoTRo9iwud2yuGcLccOu8sPXu8HlJQBXAZ3w1HoLjWtNeHhH8nuJ6FkY4nwubGVRP7qFKqLfkusEUxWlkXgqjFTamRnbHFC5J0mPdeDjAHI4boYLsMQ9fUqRQesWkM4zu8XHDYlCCL2x9Au+ootBGYbkWdk658koIK6LpSa6QxhZLwMnI0HRQLC5U+JIptlBmwFqwanHes0WoZcbcrriykVRZyrxFhpHcQHcm6DojLmPmhct7GRsKdbasRkcS4f6DqEc2EDxwpfhisdLgt5E0HxhvjHB5Cw2Cbq5AMmoPr6WdF2yBfO+QMVhcxThfsLh/hUmGbVOBFEqpCPkE9gCFpJF8bY/ME6IR23fIaNi5ClCkHIJS12drapeAzGAtiqW5CuxPErmy+NEx34DXQmh3VEUgO7rdCTs34qrAtXCFIYEqJc2xZoMte2yMdItIqCxlvUTEYESQUhH6NVkHjB6hx0qZZZZPtKQyEiUQ2w1NSsxK5v5KyOcWomGxOKfqBbsxrBsh+kCqC7Rn9KrEXonB46r0goJSoi9wtPVs+d7v1yDyhWz3g32A+2IGpd6fJRuTyWQy+dD0/iztfkc+nIJSOb/7QdU785He03lPV1maRaDtlWZv2OWbVOypzJZnqoYxzUlpxry5j18p/shw/uYFxkR8FRjzNTQbKEpd36W0hTSH+lxJwTImh33oBJo9Up+jbzrDloyvBobBY2yhaiKUQ56BAuPZinowrO5ldvWWSiOrkLjfVKSFomcRc7uiGQrHIRJUsQKNETZO6cucbXqElT5BQ2IuNW8vc1LtqE88g91QFeFGOKLaXTC4kSdvZo6fzjTG0jwy5+J+JgRAD3tVXGZcDjRwCJ7tavz1CAbCXY9RoVilX/bUuxobLQIswjU0t9wDVPeIDLTtnmYcqcohcyCpZ6iEOy+LlK3CILTjIXPqkNlgwCiqQr+f0VQjlQ3Mh4GoSnTQPWawW4ftHGogLQKpTpQtVKnCxpphOOH6bM1Rs+N2X6FiQIVln9nUia7OtLkmhxM0zjnjrexvFrpToXmbhyIoQm+uwzIhs0BzZ08qnqSe0pxzPMJpL1QoGznlSs4w1dOkdiS1Eb9pkGIQhIcftbBW0l3lbcUjLlPVkbP+jFT29FwQ2xaMOZQBuoFlhOsD3K9rshFEoO+WLDVwy2x4pqpIxgDKwg5kNXS5flCaechkeYnZki2cVxUghxtdUWJ/izYHrvE0BSWpo9MF1o5kqwzeEMYVUkX8tXuMWlHKDCk3Wa4VfMf+4afQuKDt4OHbe/Lx9UNY6eoOd/SYYC1NMzAOh2BS3URCmFOcYh4+x13WmPEQRBvHJaqGplljHrwXFJ7LkjqcBoRSDMOwoKoHvMnMu4YNMGAwskQZUT9gHrqH21aYrmIc57QPV7gFpCfPiaeFVBt485LKDVibGIczytEl2vbI+nHm4YKmbOibipBm5ORYlHssb0KzMjzzdEMIM3KuaOsrFqeFZll4250RnzyVWoZrA7bz2L0HEewYsSFQidLJir0cH16P+RYWa+br+vAxEKV6NJB3lnjhqfqeoBWDtCz1ijQ3hJXnMRsZBstV58E8OJ8XYQw3MWak8lc8ZG6xl8Bt2WL2R2hO5NJzbJbgArHaEB4ZMaPB3a8YVoZ2TFy7HLisG5IcsqJAsQuHv9kSntxj+8h8HFmeGUYsd7uK66NQRLmsCqchQCnsUca6JjWecOrRp2s0BXR+n6PdEkpLZ1bo6dO0Kjx2/hh3q7t0JIZhjpxd0Erg0Su47xoGc8imG32PitLkOaYo3mRWi5F1V9GHmqE/ReSQGaMaYL5FfUCMYN0tKDPK+UBV9TijNOH6ISBsEkN9mzjMMMnyqNxjL9fpZcYmXj57lkLEUNUR5zMoLINSZ7hoLGOw5GyYtQE1ij6IkcU4J5eW+UmF359TDZfMrxsu99dYd0sW+a1oZcnO049LFrpnZnbcewRs73F7D1ZJR4cMO0ZBL1vkouEG56TFMePijLK7DaVgVHloHFjrkntyTFtfkrIjppq63pGzPWRx3jjHZ4PvK+KjR8xSz2q/5vbxCjrFnScGOYX5iDm+JL15xlGyPOwcurpkM1PuLCz6lhVVWzF7pGbzpp4iPayuYFBstlSpoe8dlSZWsqerW9K8IV1bcvPtnmR67t54Bp55GOsK9cN3GQIwGJqNB4FsMr05lHtihXEZqDceE1pKuEY8ewpMoN42zx8EmIJxhXYxsh6VGBtkfIxKzjGMACziiEHZ+sP1yEhhKT17anIR5t3AWNdIa7j5SOD2UzfYbRuq+h7hKGArw0v3j7He3mE/9uzkBtePrmirgftdfXgfqCBdjVYJW2UeOh642jv2owWEeBYpbaZ5qsGNh8zJsW0RwKpyHAbQ62Sz5Jlrb+Ha/ojVfslvqSXTo7bH3NpzbQenW8u98hKi31H8hvV6/S7HSR8y5XsfzAPW3w/PHg9VfW7APB2jyWQymbyYfue1ZvLeu6qVqJ4YZuh+TwqGPltGKmp6cikgitQDzCLeHspxdn1EV1CSISaLHm+o+5rZpqGKmdJkooVRLNgEJqKmhaDorsW1DlsUisJJQArIKJAakAIugN2TPOzaQmgiOVo0LCiMCAlrDt/5B3d4HknBFiEExz5XRDzGbRmXhVJA9+B9B+II25bGBowa1jlz5gyVtVzbRLwqKoV1HBkbpVhwvcPEiMuFhYFOj8hFcGFPXM9Ra0DHQ+BBCjhIxSHRciw92exJJuKAVHeoL6RmRtyADomYK/QokZuC21rqfcbkQn98KH/RAroXXD5kt3kfyS4wmoTzjlgqonjyxjMfM03J7Noek+Vw859BrSFZhaGw55D1UPIKpx2Gkd3iiEKPLyOigmogKyQSzQ5qhO1xRkdghNl4RVJPchYEtFhKrmA4wroRvxrZ9g7NI4tywToZ/FCxKJbtLKOaocBuW1N6IRZDpT11UWZJCa7H5Mgiw9ZGcmkpac5RaXEa2LuRIgJO0TpTtx1EZdNbQpNJkiBDNwcJFrOuaI8CKRnGnWdvLaUupHnkeAM5WzbqKas1sWS6vaUAKTu6ZFiWTO3Azz0bHUkKcbPC2HjI8gFICsVRLk7RaiBqZuctJYfD6wbUgBRLjDPq0mNcoiwz81136FHUOeyYMClTnEPkkDkkbkSLO9TdAG0Cawzd8YzcDUjIOBcOGVkowUdybkEd1u+BeCgD3ZzhU48jMeAJW6WEQ0aVDg6Sw6vQasFJpDveYCRhk4GTNbqLxNEQjjJ0ATsC/oTOdQxlBCnMZcAR2SRL3x0+py47XKUYl8nrhlIKagMr2x6yFNUSRfAlscpb1lRoipAyRR4EqwWGcgiiiiitKGIKyWbmEYYixGDY5JPDDXg7EEYHegh0a4lICVgNbK6vGSSjccSwxoRC3UUWDQQcfVqhnGM0U4fAGIVcoLeeRXZEA92DTBUNhXwZDuWBIozeEUsmUxCUzulzQRv08O9kHSkvKMHg9iPISBElDgvGmT9kOu4jUIi+cHFyTgoRtMDpjlXKVMWwM5YxW1IxOJfRUFMeZH0y35BdwQeHj4rExEBCm/EQrOvm2BIhQxotUkUce1p6EoUiQrI7cq7QpIgTjEngE5e2UMpAUXD+0EtLVMg+ozYRKUg8YiBQbMDGEScVOEdINS2GCqFzHTSCGiH06cGbxaNBSESs7wiLY2waMCmiR3vG0aHhBLVXYEBQ5mNi7KA3Fq0TWRRFGL0n+UhwV5TosJLBJPaqjIcqZ+IiUkaHbitsjIhk1Alur7iS8Skyhj1jELa7FTY7CpHYRHQvmF4wziDHgZCEixGOx4JJNQxL5GikOGHsWtq2p5RADA4ykB0p1XA6ojkT9560cORZQf2Grc6QMdBcKll7kEMmrB0sPhiOgL2CJktTGhalYIwSKZTRIllxesmmq0niiVGRkwgicLmAOXhbmG0qdrOOZAsu7Ch1jYrDjnuCsYgesjXrnDG2sD8x5J3AKATv0VIgZDaj4hlZWiWgLEWpJVPsJSIjVjLe9wxVJtVAD2VWUK/QKFSF4gqX3hxK2A3ko8P7wmw9QWektmDsIbsrV4ZsDeXujKCOsYB2Z2jMwJYzMagmSklcbo4Zc2BrI85cUkx6Nm/wXXqPg1K/H6VuL3SbH6xBmQ/kN9e/38GqD5VvvieTyeQPond2DXhfz83vj/P5h9M14mqmSO9hWJBCocOAeAyGrEJ6tttINSJtoik1XUr0Y4CThHYteTvHri5pmHO8qXA5oSWRgHs4sBn8CNKhnYOLFnfdYUpCB8WeRMxokNEiuQGJzzWRjaYQGkUaAVkwmBNq7uJV8UUZOQSldvPDTauJjqEcMkBEClW1ZjgrjFkIo9LMByQZri6UIxlRLOcaWJ4aWizXrmBwls7CRYhQK8ZZbC9IztQlcy0b3q5LYoG2rNlfzSjGU9XjIV5gDlk3JXkkGlYmce63BGvxAItIbgypPsKEREqGLs0xqw2mLTRvr1hGxTpld5QOmUzJkIdDQMop1PXIYAOBgvUtqRwyDfSypWXH0nXsm4TrHHZ0qIVYK8kV9CqzK8o+G5q0xJYRL4nNaYsbFR8eDNN1BD000F7uoR5h/ZGZbAoSlVUK9LokmzkgGBVssZRwjDQbWAbW2dKGwEIHzuOCRbKcjcr6ZEPSgkTYrC0pOkZjOc4jc4VFstyu9jRSWKqhN4lSDJqWLDMku2fvMgWDuITMI1WVKZ3lKlaM9UDRw/PIC4PbO+pY0yz3hCCEnWNrHdSJchSYrYUQDVErzNGGVJRNOJTCZOsY1bLQgrXCfGYJcaAfHeNmRVtfgdVDgKNkSIK5f0w+e4pkAhtfo3nAZmWOoX4QYOljy5Itzg3sF8IiRhgNeVtjhwBa0MrzIH0QcRENh2b8BmWRBS+G4WhOiRGNEV/1zyUGjT6izDHF4twlmHLoKbO+hXd38KZDDKRtIu8STQPaVyger4VWM14istpgdw4XLHrjiqKWII6yHHEIVqDMbtEbJYZAq8KckTmZi7yk75QclIoK10ZMm+HeglwPaBtpvGdQw6iGJIVFDMxKz6YsKTlCUEQVUVCBfnS4JNRAYwxqIVSJtggUw9gbLsdjmtmWxdGWONrnMstEB0wZMCVwubgko0iv+GrAdYobYdYENB8Ru2NMvsTkhM8RAkQcO1/zUHA4ynNBqRIK5eLQf6gYQ288g2ZEldoo+2cvKXKIQ6gxRF+RwhwZC5XugEg2jjQsCMcPoiW7AUMh+8j99pzq4tDQ35z1HD1jsKPlTuUYBwcK3iVsqCHXJHOEVluyz+wva45CwOUIRGQ2gBPMeIqng1xIQ40hUJmOFQMbagYsya0ZdUYplgbB2YhK5ryCOg24nPEcvkcwRYi+MNpAEjBxxlAVko1UXcJVBqwwDDMW4mmMoWM4BCOaTHwyox6y94dMIBmxdWRc3aRZX1KPe1glwuaUGI8QNofDKsq8JKRzxOjQ64csrSQwekdyI8HuIZ2BAWsSO4WAginEWUYUjDhcSoeS6gqqveIAJxHpI+O4YOxOWOxG0jwQjhO6ycgguOIptwZCKtzbFJY7A9kDS8zL1iiFsFty0uzRVOi76lCKmivG3GJO9mgujLEizzxaJ4zu2Cr4WDhaw1B3JIEwQLO3tNmwEmFQKEWox4o5PZZMGWGvFqGwkHP2+xsEPIUe0wYwgt6bQw1WlPoqYhcRsREna2JzDTU1PuyI/kGpsEKdy6E31kKoBrBBGCtPHUYkZS47ONGBmU1coCwfBLiD3j+UuVuh8gOjL3ROqAV0VsjzDGNEvYARLkd7aGZvIC0L/tJido6hzJDFiDQDzT5SWk+pLPF8zi4bOi2Y7gTV+ygbTrEPPneG9faYwe/JbsuqnJPFEw9X5XfpPS7f+0D5gxTc+EAFpT4Yyvj+IL1uk8lk8qHqd5+Lp3Pze+/FKN976cdWdPfPGO6fcIO30DnD3jmuj4HeGnb+UEIU85Kcl7xMn0DIRIEnH2mQQfA7wCg5LsnhGD36LZyCzzWpvwF2wPg1iJCaTJhFzOXjuFlPfXaf+i03afLIzF+QMZAVjcqT15RSLFVXHQaVvhDayOJuxmfwBrqqJT8IAs30hJQrNsFTVfdQqwTTIrcu8GOkfSKTZi3JKb0LzEKNUYMipIcDrRQevlCenD1CkJqmj+zWu8PN1ekSYU3LyON24M62IY8VJ8OCKBdECr2uGB8rqM/4uwMn45ImCzX3GFGiKqMqc3sK1nO73rMaRmwpXNQNYTliTOahO7DzFcEILgwkuUaRBq0uCW5EfOLhhbDderrRMFYjNzphFjxP6C1WXNLKnvWspgkRR+L8Ix8UfkVD/r8LROYY42nqc9o4UMVAL0L2nuwdfd1z1gsnyTC+/IR4f0847xjmLfOUmeXIU4+A6Sts56EoqxYWc8PTs1uw3SFXV+xcj2lOMPUZ/vwOxyGyKok3Xc9IdFSD43oK7I7g6lh49C0rOqm49J5b/TNEe2i6Wx6UdyiGeD0z6xLH9xPPyOOkWQ+ruzS7hlxagh7BaKEUVBNyxqER8lpo2gtsGTF9YCdnNKvMtce23HnTihBbtFpQ29sY4qGH8nKkOIPaGnnGMSdz66Rj3yp9rFlfnPJ4vEAkc7eqCeMZTc48LM/w5LVMqeBWhqt9zRgOszWyuIuYSB0b5Nnv6Q3Ig1OhAmG8RrYGvXafagc2KiLKOM6w2fAQWyoi2cLttmFsCmqUeidcKwlXDG8NN/HVDmsKjNdJD9+lzPZUTx62a2zBnwbi1pMfNIGP6YSUWigX1FXAVkq3OMUPe2wYGcICf2NHddJzag6ljaFYLvqIXq6Q7YK2CC1bvO2495ERu7a4zYN7NTmUn3b7OW7V4JYV4ZkdvlicCN3qaa6NytloeLKqGVwk28BH7hx767iynj6c4sxA5XYIEGeJMI/IplAPDe0wZ2wimIKIogpumalOE0dvgkEtV/4QqE1NIi4ixApXCr4kzL4hVcq4SNRrD1UhnUTiW+YQDnOYzZuAPFt+BqRUEcKKprnAmPxc4/DSFuK1SHW7QlUZFyPtpsZkQ3nQ583lzDwM7OuaZA6vQz96SrGIOh572RprE3dvV4ylhVppHroivu0hShTy6VNU+5oqCLOhZ2HOKMZzp9qDKSAZ4wcINZRD/zmuH4KDVRD2sRz6gs0eQ2SLiQP1M4ExzCBbrrHl6jgyVAbu3eQWFzRu4K3Xa7haQlcDAeqE2ERDoA4jPidMZdlULZ2tMYPHy4DlQVPz0xV5NiP/1og2AakDq4sr8pGSZwLbhrzK5EXG326QrKBK19b4VKhiZiY7uhq6RrA12L3H7t2Dqkrh2aZr0QWCDczG+XOTZwzdDOsSrkqM8RrWjFR2y/XZijEFNmH33HVSOFRPpwbiTHnsmUgUw1Xl6O0AdYu0JzTrKyQdJtVYLQZSsuz7mpupxxYoKmxKIi9BHrYcPaH0dsbds+vU63NMSkgRVvE6lQnU1R3e1j+CqxKPXrvN7XVNdBZ7w7J6W0c1Olx1yh22pCbir0fy229RgqDVOYpQl8KNceCJsqSjRmQGpoMqw6lFLlsgYW7codybIcHSVJHlrUTdFJou8zTQJ6G+rIkPyomr2ZqTMSJknjpTHpkJlYG39goXZ9R9xWNyh7tHJ3Teszx/hu6aoDU8/rQwcES0Hs7OqXYWOzqyd2ylEClcG0a2zrM3NWO8zrKcMytrwNAYsAZuVxVjWpJosC/ZUe5Z2AgnL7+iuS+4S8cz8hCKoFpIugEMTuAR7tF7x977Pzjle5N33mT22eVTecVkMpl8cPlgDga9o337YN7fD2WhU3zsqIAtDYnDjVwh4+rCbA4bFtRdodmv2VtDqZRYZWwPdsxUMdMvhNz0qBFWVklDw9AfUdRgH9y55eWhrMgPljRGshoCS0p0GCO09oTtWLA5MNf+MNV0gTpEOt+QcSCe4g5TgMdZIeznSCx43ZLcgNHICYqpB4JXgi3YvSDZkJfl0EAdQAohG4wKVIH5xuCscL9NhGZHiQntGla5QknE3ZqwHFGTWY8OF1uMWq6aLVpHRAv1Zk/uLNkBKowmkAUGLGOqSQbSfMtsCJgMcfCENFKhLJNjZyLqM+65FjiGYjwpK1kzyIx5yfhc2OSacZxRssWZS6JA5wSnHaFUZLXYcY/xGePh9ELpjWUsBuMTwoBIBDLJGuTBzH2ZQiKRkoNSCFrYhv7QHH5hyOOcWISoStmkw7faS6Fmj2YldEIaEhIUo4LPniKJUm1IqWVfQ2kjJ90JsRSiRjZNQ86J+jLiVJAqkpcDfTZk5FCiBw+aG2ek10PyXQsudfgcaLdgRyFqRLgiLhxkwQyHqdI9lhkVhIS6jB7Bct9DFNbbinRc0LEg+8P5xaswL3AvKRmDxCXFbwma2AVLFw0hOTQlxpIRUxAtNLrGibJzBoLBZKUDsgrqM7rcoiViSgEpNGmGUUPSSF/1iGSOg7A1HVksi70yZsApi2Vm3Q8wQtVn9rogFsMq7Lk0c5IxrOKGZGAUwbkeYxLGKs3ZwI5I6jNIxqaMKcowzKAcAl4Ate6pGdi1h6buVi2rnRBoKNZzdlLIqZDvw05OURtRibho0JwQ15OWGekG6pA5KjWjVWJ9yEKSB4GClo4igWwd5WjE9IIfDQxHDBrZ2AR5iZMBg7KzhiCHvm7znMk2EVwEwMRCvVZy8diiGB3IaUkmAyNyFihiyec11owEKqLMcWWHGw7VxZQjrAYqNoQCahRpCvl+jeSC8WDKAnUOaYDQU7I+yLKoUX0220KQ4nB5xqDjoYRsN2MWI7ZEyg72dT68prsKJxZjDc3xwNa15GKw/YC3GTGZSkZCB4g9ZIqZgUIh7JScMyoCFUh/iMEE78HVGHPIkElxBsKDQJkBeRCS6Q1aLOOsJe8FssDyitl2xA2RnUtIsphSESxIMbgg4Hq6XDHmCnYNxEM/I7/Yk6KjREvUCnJNBrzsKE4Rl7EjlAylGLwvqNmjdmSmiSpmnGaEQl8g5sNkCjIKFot4S1UiLiV6qzRJmSdlryuKRJyJ0GaKejTOcK6jKhlfCqMeApNohchzPdKZuR6sHqoFpTuUvUphU+8pkiGATQmjihFhdA5yhphwqsTiSGPNykVihi5EiKCVUmaF3X4JWRESY1IEyM7SzwWxSnVe6HFg4cyMxBDIWVHrCHkkEdlLQUhoydxPhxJ1TYpulG1scCp4RsYqkkXJlzPKokcP3fBY7Sy+wMb7wzWqjNQlYkuNZkMXRqqc0CL022OYB1gGss10GUIv9KKEqGg4lA0rjqIVaYQxXWIl4YNjUCEYpeSIKZZiLJeLgsmFWVSS9RAPPdgu6oTmdDipj46QG8BTbCAV0CJ0xuErZeUi49BRmsjeg24qxiI4YNkmzDAyZmVeBhQLavCXCauCmSttd4WoYFB6Eo4aj8c+F558997roNT7e+D6u4MtH8qD4w/lfX9PfTg918lkMnmxvNgz272zzNkX2wdiVtnfby/Gc+q2yjL0zBl5i55gSFQc+uVYr8wWiSutqVLH8X7DM64hzJS4yLT3lCoUqhjZNUJpFdMETntlFyq2aYnRhD4oP8qrjOkt/tyT40gJnrBfETAY65jbhqsUacqemRyCUqYU6hgOfXnUY4qjOMhNJF6L6H6OiwFbzoluTy3KsQZKdfgCf1ON2Msao460LNidwWhBMpRgKEYpNnDjcoZWwu2bBXEbTBzJnedULJbEbnsJCyFhuOprjuIMEeV+ewdZGaoCZ9s9YV+BfZDt4AKoIjjGsiAZgeWOkxTwSYlxwYBBKBxHSzSG6Axq9UGtkSFVFWHI5JKQ2HI9DbRkfqu0IAuM8dR2z2CUwYBjTwjHaK44ilcwB2nh9J5waQ3FWvD5cBf7YJqwJIZiDGcUii1EU+hLQymBrmTWXXfYpyMDt2eMpULEoVcd5VpGV4mFZvK60G2EPMRDMKwSvHqSBJIdSfkWu3mmPxl46VvP2NNx5S9ZN3Oqvme+GTG2IHWAWcd+X2OyPNvJm2fvINxesE4wC4Pb76hT4XQnZIRBA1oG8k2DJItPFWMdqHLFSg0hRYLPDEeGk6FnjI576zn2RjqUzK0P/cAcwlGGywgpOSQtMO6CrJHNOKMf7IOG6ZGOgpFDx6BW14Bw5VpIiiSlU1AxSF0w19aUy4IMgig0eYYrjqHs2dd7jESOkiFUexTD9U3mbm1JFRydREYfSR2YQdjKgkjFS9KaXTjMdriMl1xWnt4KzuwRFGuF2dmWfhvR7lAG51JBFIZugdMeRwCBxmyxZHYNkGtMdpzsMxdVTd/C2fUL9rcT+wthIyfYaoNzkQp36NtSJdLZIZBUJcPR0HJJoK8iPspzM9M1sj9M0Ccgx4JFqUdBhscYfE/2HdIvDzMlktnY3+78MiPQSaS3CUSpB6g7IbUepwVhJOWHyBoomvDzTN57yt0FuSmoaSiyQHWPG8FtQMwCS4+TDaHmUILrhVRqXCxUV4ksM4r3yFwxvZJTIWAR2yLYB58nOcz+mI9IeUdWkCtPO17RlIQdYP9QImVBo0NMjfhIdQRZWlIQ3DDgnOIkszQDu11NUntI/DE9WgphI0iOiD/sJyIUsQQvxNpjsBAga4uqxeb9oYcQh5Z9sjOU4Bjnx9BbTIhw7e3MN4rv4GpZqIxgjWXwAtEdipxcx16X5NQi2wo0InakOtqil0tK3xKxJGkxxtLKeJiIwGa8BEK2pGTxvgAdhsRcC/MoVNmwFUvRQiqHTFgzGBgMHHl8iLQpcuki9SAsouOcJUaGQwniMhNzRYwznOuptDDLkZQPgRRjPPqgt5hBWfieIJZBPN5tD33xBNZ+g8kWj8fEhFfFiRCtRWKBkkDtoW9X9qyyp1dhX0Z0oVAX8iqzv7/ElERVbdhTUGPJztEfZdxYqO4VusZSGzgrPRchEMqh11jPQJbEYGEhgaKZe6PSlkPyW7rM7HMLArV0hCpQsifcXyKPX0AV0KDMdoJRw53GgxbanFgMI7W5SVZH7LfMckCLJ1w+Ao/fhvnh+h+uKjQBi4SOYMKz4w4DOFI6YihbrIz43jMMUExBbDh8EWUN9xfCtavMfEictx6ThJKU+02kigmXwQyOUVuSrVA3UkXBibCrHKdNZGYDQTect5FNa2DTgAqOwsubgcJACYlVGCFbihrChSILsLPMojvHAVYM0FBTUWPAHNrz6QsYRr3X5XsfiG9Tp29sn+/dZUq9M9Oxm0wmk98fL/Q69mIHpd7Vut9VVtR72ovwwyEo9ayU0nv92NXqiBRrcqzxzQ4RxQA3hpbeJ7Z+xHYjai3FefZDDccjctqzfKui4ihVRXtSkWIhDInVYqDLyjpYXrq5SdcM3Du6pO5qpF3AakX15rcR44xObgBQs2Gmdxmb9rnGtQrMi+MsVPQ0KANwyTO6oDiomkivDUaVRkeGxYiLmfmFEmctulS4GRmTUHYN5elTHlOPpWevT7MUR7KGe5XHKJTSMKQzqvoeRsKD2eHg2dnvhhPItSKMyCj4wXB86bh6LJIcNM9U9G5ABZrUIAi+FG6FwD1f0RsLpjAbRkxRdk2LoJhSmA/jYTazmSHdCvjzm9iuoZQ7hHBCKZ66vs9ZHKhL4em6IciMIo5GNwQ7kiUfZl560Ahbnu1FJIcbURsCkjOhbR8sVORoQAeHBkc47ZFKsBZujEq4UIa1sDZncHNATkf07Q8hY4VkQ7nxFjRnTFI+YiesZw2XbcPZnQ3dUcVuVUPagD1C5JT6/B6iGQzE+iGK3aByn2vnNzBNjx5tuKoMMRRyX5iNM5pUaGIgNEoSR6Sidz2yWGCPr5H+7xZXIk11KAmqU2IRRjZyyIAwCOOsQXKNHRpO5IIew12ZcV03VBSsCN4AVJSy5KlbFdGCSYWj8/tQCkM943jsSKXinl6Ha3cxkqh39YO5Ig9ujCNJG57iEeSxOzR+5ObesFteIxQId+6DgsmZqh9JdXsIFPKgQT5gFXw4oy5wzFM8ef06+9og/TOouYYUz2y/ZlieodbRXt2hDzNKcsworGSLkcxTesYZaxYy0DjD00eFnS0s7yg9ZyTTUrdrghvJVcKc1QgJoiG/9RacClWbeemTd7j0jm1jyY8NzG8X2vuKF8PeO0ZveZiR++GYTZ7xMvsMl2fC1cKjb3sEa7Z4v+H6ychej9jnOawvURQ1wjA748R3rKTjbU8fU472yPEe3v4yyAUYWerTFG8p3lP3AwNLejmUy2WpSMxouCLHmhTnVM0akQyq3EoDu9JwNy9o2z1LTRynzFtmkRgrpGs5kz2xymzagu6Ooc7I6Z6ZeQlOB1y5y9qeknsP5xbRBmsHfHVJuBUpY4M+fcbipkOrkU6u0NvXsDlT1eeHbJuccMNAmDWH17wI4fQImxPLO/dYy8MUI9T+ihDOaErmEZ7mSqGvYHsK5XwOscGYE+SR29D2UAo88zC+M6zK29iamyTj8dUl8WaitOXwN+YEO1Qs3jIwlz1iMvfbhqYPmFLo5hXm0FOfIjDaQBGlTTVh9JRiaJpAlBMKFbXeox5HjCQuH1XctsL1v92fx6KcSs9FPGJbKnRxlypV+HL4m3QtUuaJo/9dKM6TXM0w3sAdX2BXa8bWkO/W6P2K2TwhHAKpxUCOR2hYcJPbDL7QO7geB65Sw0Wpmc8Di6PE7Cjz1DOP48uGmnOu9kfUGGYCoRmJTSLWiev3a4Yms10m6n1NDjPiuEDLhgpDazwr7hNJdKoI1wjHifGhPc1TFaRDIW58eGTWG07uVFx4GF0i+AHjDz35llfCuVkyrwsPLzp2V8qIY6gr7L5DRUhNezg+2RFiy+NHVyQfedpnbt0/JUfLnRI5fgSMKOEy0oSBbBvWR49Sh7toVMJ4TOuvYJYYH4J6N9J2hRvnIPNTOgdvlfvIZk4TDY+ant4URivs6/rB+8Aw1B6Sx2Royv5BFEeeu8ZIybhhYH5TqCrBPa1cuobOHq53lQ1IVdicCa25gUsN4ek7xHCMTRUvkSe5o9fZSkvV3CHpHBXP8fEls03Ed4nLpOzNjGAqmioicphx7+E4cH7tiMvlAm5nfB5wdmR8dOTk/pKji5Zc7rB3ls47unrApwpfHMNZh9oGlZbwf+6+y3HSVL73Ie6dZZFNpXyTyWTy++9DLUjzoba/HypmPtE5CE2mykrBksWxd5mxSaQ2s+gKQ67opUIX4VC+YluCNIhkRBJpKOSskMHvwNdgF4XNNjNGoexr8qwCDHqZYKnIODDvLojOoSXRp4ZFTqTi2NPgXCCKsnGJpAMQUQyGckgkysIsO4rPxFnCjh5JnuQTIbX4vnB0FblSQxrBmJFBIkYjkYpN22AcrOzIOipEx1kwhDGTBYIskNUWR+JorZTeoRHmBfYqaBaiFUxnqY1ylDPBKcEoqU7YaCkqbK1lbDNJCrqtCXKYgltQqjLDZXAMh55C0ZDOW2bdoc9TZ56dHABidHTiCbaQUstMEpUM+BLJWUlGGIFkIwWFoWYhiUoKO2vBWsQa0sofMrEUXEjYUCHRk4ZEJlO8MvSOpIc+vU0aSNmQ0xxHj9hwyAgJhhw9BE+ImRIMxmaiM+SqQuqWdqOH0im3pywDEsAMFkk7fBxwRanznmgTfQN+Uw4zmClUySAFgnMMtcOlwwxbgyxg8Mi6B/FkWxhshy+eaA2d94zNHJcMzSDU4dADbfCBTizBA20g7CwpWjQbGlsQ61FfY2LAh4QPiVkuh1nz4kgWQ7KCo4ckWBVsDNRyKDEcrWPDIUPktLmCfQBRrgZLqPZkKeQqUXWKSYdmzo1W2CRAR8fykLVmO8b5nqyKDI7YQxkNhBWVJKxEsgjLIeAkYVOiSCD6fAjEuYJD0KEh2I7ORroaNEBThAaPI5INpHbBMnpkiOy3mZRnkCyrsiM8yCS8WGQ0KvVY2NybEcaI9QmniQaDTxVXOiOIwbiBq0aJUfHrRJIdQoACXW8Zm0hq9miImGgwyeLDQLSBTZ2xbsDmDJ0FuwOjKIlQKVoXqDIzjiixOZR3rjJ+HJntC10VoAU3t0jIaJUpTaEPSgoZPwSSi8SUSaVgi6NUkOtANyayU7QSTmpPqmBnQPaHBvtDWaK2oQ6ZhW7pdSCbRGojZVchWfCLNVpVZJPQMuDs7pCtEwM7ZocZMmnIxWNMpnI7gttTUKL11LpD8Wg6wpoIBLqkZFXIBhccsRi0CJDRIWFLZtkDoceqMAO2BTKCpBllk5Eh0ciWsekp+fA8960iBtzeYIseggsZYq4AwdpAFRXRTFMSea4Ua2AEy4AQQQrFCUUtZe0otpBmAdc7ZlXBW2XoLbk+zGbniscaRUzkUON8YI4hJ0GzcsSGHBOprzCyQEo+ZHaqIqVgc2EmS7oq07dXuE3AYABDSorOMmaW8JVAgXhVDqXDdgAHakbS2DCElpQ8xAFnevrTTCBTcjnM/lclpO04Xs8wPkLb4VVBDU4N0Y3gC3ZrUOW5skBdt4To2OKQtKGpEu1S2A5KRojegcwIWrjoC1kSSRwjNZVPOFOYVZHQK0YyfqEMqsRy+HbB+xqL4MtI7GYPZuZMVHqEGkucX5JcoAwO+oqYG2RIuHNDDg1jzGxch5eeqOCLRzQhRrhqPCVnsoN8BM3aYYJg00B1lEAc+4sjKjYYAtk5EEFFKM6xN4XeKHYBfbBochzRMdgZY7aU84GyzBQbDrO7lkRCuZwXRrNDJHBMYuN7RgmYXaSXwq4V+t2MrDNEPSJris8UW9hkRwwFux/QouQs5OLJcWBfjZQVqFsx9so4FqxLaK1En5DR0RSl0uHdjpPe66DUB2Lg+uE0OH5n36a/t8GlD6djN5lMJh/q3p/n7He27hdjm9O15oWZV5FkI4MB2TYUrYk0bP2GMouUZaK5MMRkydEjpzuk8Yi0RHuKpcPpFXHIz83O4zrBe6hmwgXl0IsitpTrgu6Vci+QHxMaG5h35/SuIZSKXhdcz5cMCpEGYyKjKYxVRvRQO6BaYX57cnXm0RFcYb2INE8dHUobGkPsZ/g+ssxbukN3Eqj2/Hbr2ortck7jM4/InqtdwRTHmYlcpkCvQjILpD00lF7dh7E7NEU/HYVSewYr9BWYvaUuhVUMrL0yOohtxGRDKsKld4Q2kAEuLKF2WFtQI9SxpcoWw8Vhyvto0DtzarOmMSNd1YBkCoUSa7ZVwVolDnPOuGQlPXC4KUpieLqBbDOJgqYWj7KQzM46inPg5BCUMhay4J+M2FhjssftIloCuUrsdh5REK+0eU+fjsjjHK/rQ/2IAdNbQlyQ4oyegRLHQ38T58iuwtiW2daTTMdYbwgPJczeYkbBxS11jDQBvNkzWqF3luPLjHgIM8HHQ1lhXxmGasaiDMzjjitzDS0JN2xI5oxiD82wffFkOQSlwtEJdvRUAXze0NtAVw/scORZxlwLjMmR1TImx8xGbF0hixlmu8OPPc040BiLAaqUuF83RCNUuodRMNngw8BMhGwdwXqupKG2hUdn58ha6YLjyeKh3kCdYAbNXjHFEpqW47GlLgVkTdDDlO1qO8bFBoySUkvqClIUwwm13sXJQGgalt1ImwEyyQc6+yBDriqIOGT0DLYiVJFhrsyvCm0PLTViB4oLXC1OObqo8V1kzGtynCHZcaxPs+09XTbcXypHm0LTCXJ3RvIjgx/xmmiTxeaaN7PCuTXWbbm3gHZTaPaF2K4pIhQxbPcVyUfyvKc0BU+FyYILe8Y6sjeJuu6RLMjOHerqAEUZliCNYqtCG1fEzkAppFVits6sLns2bca2hbotlHtQqkJZRTYJ2Bd8DgzuUCLVc+h3Rl3Q1UC3PkQWpBJOcAy2sLOgu0iOnkFXiFQ07LlmdlyURGeFXWOQ+yusTVTHl2TXUFQhR6zfUKkyHyIbHIEGTAUUnPQ4FzGSD2Vd3tPoDi0tQ7yGbe6CduziIWNUiuD7mqxClgwMlK7gO1jtBdhhAG8M9kEz+Rhb5EKwJjCvNsSjPclaYlWzXwJiWK4thsNsZwA5e1QN1gbqILgM3kaGRSI3Fm57nHYgUJAHXyiAuazIZz06S1SDo60KdaU803tiGxCfaa4acBFMRPOhX6CoICtBdmA6ZcUl+9GRisflEyhbqHaHvlipHDJhpSXOt/TLDbo1z2V9jkCeZ+yNhBcH9yDeL8j1c3Ir5MYgBLLU9NFjUo0FHInu0UAZFDYPaviqiCwD1/ePkJrM/mT74EsGeyiNrDrMYHEX1YNMyQd1qeczgnHEyjAfLmhMZraw7PeFXCxjVYFtGKNyd5cPMz1aS5aGXEW8jcx9gF1BXcQtR/ablpAFTMb4GiNQl8S4a0AKtd9j5RixmbZ5mp07ZDjJlaWkCpMcvrcEUzGayNoHau0hQ1UanA5kI9ytVzQpYqpMPCksNpZqBM/A/LpQfMP67g3qssWaSHHuuWzHXFV0hMN78wg491TRMzcbhjQjaItuLykmUWYZFQVGsoH7c8DtcAZWvTDOI9EAd5TdCvq5RYYlog3P5i5nn8lVZh1bGDN+6BFgLDWxVEgHfTXStwmpH6HcDeh+YJYqyiI9aJ5fMxsPmbXvzgft7Hsfbt6XoNR0UzCZTCaTyfvX+1K+d7w6YukTizoRT4X1xSnr+yc09TMsy8iyJN52U1nuhOMryxPmBuICVd1x86FIusqMdwvLG2d0KXM1BMKpZ9lHjtcDT+bHiSWBbnmZ39Npy91ywqkpxDaxXwROtleEurBbGdr7FXl0DKFCNSOziJx2zApIdJSuYhxPEMnU1ZrTITC2hXs3lOa8QT3E64H8lhNcgrbu6MN1RAq+umA088M07WXPLEaMNeTFjLLeEm2mPzU8eqGYAJdFcCZjMHit2dZCwBPHI3y9Qd3IUA08tjc0EXalcM6csRHMo3vqixqJwrAYqPoKF4SqG3FAaRxXL73G0fkav4/03YIBRxIHHPHII7dp2z1PP10xzoQkBu7OqKoBa5VhOOMWwsoIqYWNruntnvJQQK8cpTOM8xHZnCD9nKwj11aBRRu51ynxOEGjvOTNcy6OR67mifLkTbzrcK6n7gwNAS+Ji7qmmAc3f6pEE8gm8hE7w2VZcqELBGUhO+ayhQr2esqunNK6O6RmJDbxUBZTL8nNkvryLvNQM48zLpsLWvUclYbbdkM4isSTTP1UjeTDLd8QzmjyniM9597KkO2hcXA9zni2/e58OKHWkRmXJLNiP8+cn3bw1CnMIvrIGu1uoVohGMr27diYqWPDbOxJs5btrRtU9y4oeSDYgTa12AflkP3sGLRQ9xvccCijPBHhEBac0cgj3H/0gkEz4amautrTYDkdr/HUtacY2oGqAnNeoallnN1ArgZEe7h2n/Y+MDq2ssQ8vsc4Q/3WRxjmt3Eu8VIe4Txe0pfDN/thbHG54lGp6LhP0P2hAX1To+4QcHtw538o4yxgS2E5Bja3YFgJamp45gSuGpJeINcytlVWb1dipST/oO9YOEZizU3ezt5bBmcfzB0nqIHueqC9yPiNsDYP4W1HY3tuhcDFyYqLxRJ9u+LdHlf1oJDmS3I7p75/l3QUSMcJRnA7h9/9jmnaVXFDh6fFmTldNVJQssB40mH3c9x6RfiIK+xQ8OvD057nzCpH7tQ1Y6qJY8NDco+hrblaHnF2/z6UTBQl1A1pocSzQwaXJqXEAuUGNhSqvn/22WIoXD8Z6YPnmfMl8vAGW5R64xjb65iq0LRretsjA1T3PF01IjqjDQ/R1U8iBJpY4R/2+FKYP7XjytRE7GGGyZsDJmXmb8vEpiFJyxiuoSfPYMxIvW8YQ0vJDoOjrjYYGxFguJ5QA9WdihUBI4W1Vow3ImqV6nZFiGeHz/Tx26k7j032QWjl2dIspR0FsbB+eUe6PYOto60ipxrwRnniqMX3SjVmToaRnbQk67h5tOO8LNnmGp93pNOINJnH39ywdsr+wW37s5PjDZ3Hu4JzSugX1Lqlkp4wmx2+ejBKeLRC71fovQqRgqt6jA+k7gbV2ZrqZE18+tAzqjhIDwfsxuAvLLdSYGcta+/Qbg4mYVzk1jjSOcPaWzDAYXI/hn7+oNqn8FKO2Nc77s/uYzYP0+SeOZcElFFnDBxzxD1ilejmcG1taBqhORWebApltPhLT9cfYyRRVTvCI4nSNeiTx7zEDHgSSRJP3+yIqUbuX+Pxox1FEucxkvsT8jyRHr+Hectj1H3mSJ/i/uzsUO6ZO1K4Ti6QueQx4xB1nJeW67IGk7hXKSenC3zJ6DP3uTMvBGuoU3soiSwVQ7xO7c/BdwzNwOIKTPCHWUrbDuMSJVv80FGVxFnjeNIXBpTrO6FrKsZKGJcj1a7GJEM46rm5tsx6YZMTu0dPGY8qNNxlcVlo95YmnbCtRkYTqLseK1CwXOQlZQ7MFHu9Z3FVqLZCr9XhveqEcKvBXSWqbeLaWLOzmb1LYH5nH0JDnFfkxtLc71glx4KKtz7Ukq8SXCZCevpdjpOmSNPv8sHcx+qDbX8mk8lk8gfLB/M18EPZGCzuQflB3kIcAM0cuYTJsFeHDErwyvZawW5GKgm0JdLvIGbL2FhMD2OuyKnmaLfDh0hIhcXJACljukzKmSwR73paDrMaDVExSTHOoaU59NUxiveJWMVDM9LdjHQ8UNeFRZ24uhggW2w6wizOsQ5c5xAVfCosLpWrLBRfCCeZfG/E5MP7x2p8bsadJIIg5FioilIsZC/0FCxC8YaxrVB1yLahzXsqiVy5ES0NJIe3mcEI2SoxZ6wrNFjmVxVxmKMKx+NAykJRR2CGZYfRgqZITIdeLWMzQimHRs2yhS5BgKPk2KdAMoGZQF8lkldm6YqEZ+MMYVXot0KMM/yuIOFQ0OKtgosU16Omp68a1NWQt1TbgukzV36gtwmVzEy3oBke3NgFDBmLSQmspVhDminFKCqwr0DUsFTHsN1TtBBxtCbhyoiTHSoFGytMbiiloYyecug8TDSJzg1kAS0RTRmrEbfPSCnkOEfIGDOi+VBSOTpPHSL5QdN2g6LFkXNFNAFIFLGHkq9SML2gJqAJ9HyORsGWgGdkqPIhWJOU5BxKpuovWcaRrJmdg2gTuVisOkwa8aVwlBK9tSQv7OqC7hXVRHI7xtgTNZOqQylOUmHv92RbMMVSX7XkVEhF0E6Z54I4w7ZaEWaCGPA50+4OwY99GVCbEafYTvApUzRTU3PZCNllSr1D1xEdoXhPEYOqxac53u4REl1cgR1QGSlaYHCIM+RZxJgO4zOuZLRKaJPpj6B4UKe0gPg9GgN2X6H1IaBM5tne3qwGULVkL1DvQDOlCHtrKWOgLhuSdRjJkOXQ7JrIPG4gBKQD5JA9Y6JBUaKJkBySHMsiqFGCZMY0R9uEzEaO9pAkMp512F6pe2hG2NLS2xHagBsT2TviUhk3joxgY6RhTpLEaAL4GeSCnhtyMYgWHJmc/KGxtSh5pmhysG/pd4FUCt4mll2hFMN+rMl6mFUsVAEzGCQIKnAUFVNGXLokuUJWT4xzllcDVhO9OEKuUYWWHt0LlBqkYmYEMGTWrHtQY2lSIJY5BuGIHZoDhUK0FjMcjlV0I3vJGH3wsU71gzkDlPmiQ41h2y2JPpGbgvhCvVFMNHTLOepHjImHtl6VQ9oKyqEU1NnCaRfpgydkz24xMDqPmoZ97hl9RH1htU5sUmHMsHcwFEeIAk1PW4M3gtkVslNSA5ICNglWHzTmLhVVdowXnnEsBD8Q7UhjIm1RLlCkV5wpdG1GosEkg1lbGA9ltVeuHIL6WRCTwORDYEsKdVHmUemdO8xkqOBsImMoxrKeFRJgowcJIOkwg6DzqFZoqQ4zSFLB0NKQ8BKJ0pPLg+OehVkJFJ9IdaKsD03onR/Y2J62FOZJDll0xmDsQFcyKoVSBOyIKQW3dqQYCS7THcGy7ylJCAJZD30KVwSGYimmgOvoJaM2E5vEjoQtguqMJiZ8Ngx5BrVFvQWnzCqPkZoc8mEGSmc4KYGgSgbSfETUIKliK0KTFM+hxDqaQlZwg8MUwYiyFMgWemtBj9BdfegT7woBRZ0SRkPKghihOjqUoGdVTrsIBXRQ+ouEFZA5xCHSBMEHGCPk5AipYu0HRnWk5HEukrNQiuB9oR0CNhq6uIAcMQzYTsjxQXnsuzEFpT5IvD/LKyaTyWTyoeH9ERR6IZm407Xm/SsECwgBA7GQoiIEVi6zE+EKi+2FcZXoVol67KhzotXIxVXDaIXYCHmdKVpTzIzT9QWhRDYoy9M99aBUMXOvKNFGar+jJSBq6HqHRAFbQVgAW4xVjEmU5UAZa/RqSTyLNE3myET6fk/p57h4iizX2AL12qNAFZSzLeyAsYZ4nOFijxQ5TKil4VByIDD6w1BTYqQRcMaAOHrNGCBWFWHVUEpF2Tac5D3WBPb1jjJeQ0pDZXo6AbEFD1hXqMVwcuG5Yk4WONVLLg2HfkbmjIaA0KP9QAgtkiGs7lHHGpstMFJ2h0DKkbFoLCQTuW4KT1fw/7P3n82WY9l1NvrM5WC2OTZNue4mdSPeD/f//5orvW2r0h23HYBl5/2A001KIZGS6JrkGRUZUVEnM2sDG8Bac2CYGJSbeSGawOQsaZeolxuIA+55Wd0sphEAbKKFQvUXJj8y2w09J/ozuKZ83U5g5TWP5oUsgWQcxSuFtZooTBMaAuosZWxrjroIhw42WK6qo+aF1hoLno02nEk4s9qvfOrxeeRlDNRYIUfolWQyyRQwjVorSTMmN3wGexIudotxEWvXPLFqlOQ93Vxo1pC7VU3TmqPkDXF4IpkKOGgNqUo4OtREag7EL1uEimOh54X0vSDGggjZe4RCd3lhmwzVrEqcs8lUGr5YXFnVUftWmH1PDEraLQwLUDKze2G+RKqpMMxoHslNeHFHiqmrjeZhR+svgMKU2dMQbzjZG1LvMSbTL1/YHxtU4VnPiK0ghraAawXRws5sOO+UtM3U3ZEaG7UItQ8rUdQMoewZ7IyIcil7MHUlpQBzMdhqqT7iZMK4BAjFFaqvLPu1hdBaoUMw6URLgk5XtH6mbjMaV5uYbcL1uePchBSA/QFmT4uO5+BwMdJfLqR+QJHVWpYsmzRzLTOzsmbFJL/+/LXmoJiMqkGSYTCG2TUWl8nLPeIW7L5w+2A4XSXm+0z4paNbYJPhhYHYKZf9xP3nSttUlveNKTqkKH5e6PWa2WSyF0wYITbag0HEYV3Fh4gmjzGsttdR11KA55FzfEFspesjt0dlaYaX5pE802omDonuFDDVoCrso8W1SuOBmAcW7Ul5S3g6IaZw8D2x9PhW6MmUY0ejQ+WajY0EFoRHpmkkE+jMxKRgqdzbA1OFqIZiLe7saKYxu4ksBtMMQwVJPevBXBj3J8QYTr9/T707UrcLsimMZ8U1R94OaFlA1++ZzoH1cFzLz6xV/uaQ+NQ6LsYT9wbbB4zpeflltezZULl6EpaizFV48UqKjlIs+APbURi94B4apyDE3jCkBacGWzqg0qtjVwaWB8vZXWjdRHYXvMJYLU9k5NKwM5QfMlY8pljs4fXZgPItgGvQNSC8VsgpKAbf1oa+xbm/1BV4nxDjSdZxuKrYKPhDALdmaZUqFB9orVuz+HyHtg673BJkQTkz1wWtCmnVn22YSLYydxn9Nq5lBv2ZZzeTqmFTe0QDRhQfTpzaa1OlKCZMa2Pgk6OUTBkr53eGn/6wQF6LOpCFzlTeE/m9eqJpDCFzVmhOyX3hUAtkT2PDDykiGE5sMaOFICCF0Xt8U+Y5o26NHrxLC48IFwN5k5Ea0GRJCrepretI70k2rsH4ywAo1jRuGhzEcnE9Q71HjxnOC7pdSxWjW8VMAQgG+hvhghAr/FAXyFBmeDg1zDtD2wm5ZHZRGAu8LJkW99QSWHYvSNxic8C5TKtCKYbgG+OU6Yty5h2VF5pMuFOlZEsV+4/uk97se/8D3jbpb3jDG97whn8r/FuTUv+n7Xv/mfBPse/tdlfUuqO0EX78I24y+FPgXeo5djPPw4S5+0hbzrTLgXEZMQgGZdhH2qTUE6RuYDM0roaK/VJ5qT1fdcPfbF/W7JY08tvbC0OqvD9VlI8kFub2xIv8BK7guiPp44JOI/rphmv5GbUQfQ+24aUw2sTTO4tYYWwG8zLg58pwnji0RrGW1nVMm0SrA3L6yHcffib4gsjA01NhqZXFL4jvsM3QTYa7m9VK8nhQ3s8RRXjoOlRYs0CmwF5fkJA53hu6y0BIsIkzU9eBgRsWDvQk1hyi9qrJMjSWq0Qz0D0PdNcLYhvLc0/eZ3SoBL8GlVcCtB8JD0/YPJG+z9hHu2YxKcRyg7TAr9tXxOU1b6opzzYwGQfoa/P7arsa0zV96XHyOx4GOHlhTN3q6FLFLzPmo4cbx/PnDvqG8YX7Py2U2qisESEvbDnKQL+ZKH2i9AUC3B8N1yfD73/VqA6MGm7/23umUjiTGIbEvlR2pfKp76h+B363NsnlgNaR8l++wHELX2+pu99CcjCP9ENh0xX2XeLbtz3VNCTkv1y7KrCEBZ92jPN7zr/5I81mWlLk86/Yl8gHvnJWJRrLFDruYiQFx7erDTpZbK10rwa8UiwpdRgVNER0+8KvLhZfIKvy9TfvyH3D8ET9/Q+YBKF75G6J+LZm/3ySH1j6hr77GfP1B1gcrZ3ArhldtELXJ4xZuwFv0w3aAr+YiraE08heHyldoFlLVSFlR20Opz17/4gzidkMtNf4G2MUv0uYUEGEdAiYyXAfMw93wrmHeix01eOrYTPPLCHQnOUmLZzdWmIQ4zWuuxDszHZeWIKn2o4f0j2LeWQxZy4MjCbRkVkmOLFllg6ze8TXgG3uz+4vMBDvI6odUgPdc6akkZp7bvQXBtsIFg5J6UQIYvmqN2R6mnh+Y/7IxQhH63i3zMzOcfKBed6xk4kbc2HUK573kS+3E8bt2bw4dl8Nl+0zDFvo7jh/KrRgYG/Zf/s9uRomRj7ImcTACzf8aCILjm+tp+u+oRoo5Yqf3v3MkjxfXq7ohgOuRuycObNlYxrfmZlvIZBto/nM9RFSG3gwd3D7BaqB52ssPdZmfHhiSfe0ZlFNmA/f6NVx9+17XsIjxaRV/QdU01hs4uOdYazQ/7HxOXRMoafs73n/8BkxM99+atQ/7ukW4cf+wPFmSwLqzwcm8w6M5Wb4Soj3VOn5clvolgkjmfkd8OUGTRb54U/waUSSxf/qQtV7KB3+6RtpyNSgSOjwR8VUpX5ciwtYLOnLe24pDFJ49jP6ap+yDdrdSN140ukL7WULSwc/PnB1WMsDH76D9nKNTgN8/MLdQdmdhG99R3aF4gvmzqLtGi07wsMX2j7TtoX0TTHzDS5dcdv/gWnbc9lu0NituWQni4ri7Rnv/y5RUFUoyweMnXD+sBJSIqjCPDusVUJX+ZgSizG8WEeM71dFp14Qc4O1Ee+P2GVkUMdeDD/fNXIW9ARb/QwWig9/uSXUwDLtMKYRugsAravUq8z4SSkKl0ExVx+wRQkvZ+7uEkkaX5LC46+wqoT+gXvuoWSO8yeG39wSmjL86cAfPgpJDN1zYJN6qjiehsB2/oYSOY1wdekxZeQg7/jRfMLaha9hzWs0rWKmmfMGSm9x2yv0tEWSEOQb+TaveW1T48dnIVT47a3y7rChb57L940lz0jK3D/Ag16RGfgNjUcfORmI6Y47/cqGmaAfqbyQzcTL0LHkLRTHr/ULjzvl3Avh1L0+Bw1dnzEKzii3d5HT2XOZPPPiebf3XI2Gz8cTQ8oMpRC3gSldk/LIj+FnJoGzWBqQXCHZTP32d+vK/wz/4kzTvzeS55/jM/6fHvP/zTn693Ze3/CGN7zhDX/9eFNS/cug1oFaLUrFzRbUUnrLVNdmHFstrVwwSXDTnn1LZA1E6cipEaQw9I1aHa1lDlJgCzE1XC6U1GgNtBk2voGpvLSGv5zRVjAoLZzWDAht2Iul1krbnKhpba/LWbgpDbGwNE94qWBXW0CcOnKpqEvU1jAS6MqGXBrFNtrNkYtmUlJsbcRoqAreeIqpKBYTdix5QltFmnB6reRGlTD21GqIUyWzxbfM7TThXUat42L3pKJIqczeUxFQQysjdXvGSGN73tAiNKPsy0iKjRIy9aogDWQ2FCoUg68wlgM5Z4pYqt2gzSBNkesjdbpASryEHa5cMDWiAqlrFL82X/HnXBiFaGeKiXTNUbuK9A3SalNUI5jiKRV0qYSY8BWchWwtuYfqGvPsaQqewj5ZFvFMCmRYFstzdtSDR1zGmEwyidJl1CVyslyqXc8LBa2KNtjtK3VayMeKngUfhY7Gc+pBwfpKHROLGnQeybsETTEN6rYiRbCLYZ+AlmnuvFr11KPRMpQz+MZh19M/Z4o6SunxRFQbNhe2KaPaSBZqHVEVnFuHkwa0ZctMIbnKIoV8UpgcTq4gW1wr7HMlG0v2DbpKu4Cp4BOkklBteF//7oazFREFp9RdQh9ltfLIBLbgJNMFJYVKQtBToNkCtlFiwDXwWF7alg5w6Bouvy8k19BZoa2E5MUJISo7VQ67xnCELq2qsGYMDeHkOqIEKg5rI0ZXayV7qK1SakaKgjjUeJpXshpUPMtNgaXhU0WrX209aqBscDpjZKHMluoajUzJYbXUaKY4SwZojZkNGYdTR1ao/QLjQrR7EomikUt1JAZKGXEuUX3l5A3LeWBJgjsn6jaRaSzO0hBaVGpKtGFGRLDRrQ1yxuBoRIRKw7JwKqyfB0VEkS7huiMuWWwTGBMlCbYKgQYI0Vteth2zrTRbEa9cLoEiAsOZ3q6tccUlShFUKw6h0zNNAwsDm9fPsrgJldWyFU1hm4WmjdlXltnQcFyuOlqOdC3RXxJFFEHYv0AsCcTx0t2yLIHWKsZNWKlgGlkdgwq2rSq54iu4jC6KbTPSPOV5g9KwPrJLjalEchPKsMO0C8RI9ZmhCKEoj24ttbDRclUDVheKzLgwUjXRtLBkw+ZU2OZM6ZSL8SQd2J32uGWm5ISZPdIaQsKfGkQlqrwWZwjS7BqqXRPUIwK07Kiz4SouFM0UPzMPSm6KHhQnEVsWrMKsO1RW21jdveCTEmaobqINkbypuKh0QBChmIYGofbC9CSk5illwLcT1RfykHHLhJUC0ii3iSUB5548ZNQ2zEXJW7BV8XNe7zmn1K4yLIo0oaXAVhYSwuG4njMxFS+FejZIEXzucadMs4JTi2+nV3JbMENEfaNlh3WJVi1P3FLksK6nAkvX0cTiWlztiWLxCs0KlQp14tTAYpBWURGqAs6hpqANygm2EVxVshE25xFjFUkn4giLEWyyLN5TcNRpoXaKCeAUnKkUSZykUsy6EtASbD04w+HFMCJ4BYkFaQZtAQCpFpsN+2pYaiVTsF2lFkttwjw7NHW4EkCVVCpTLiiQOqH2lpw8sTRKSxxrR7aNapTCgK2Vbfl7z+f/Bf7dyJ/+NYief6/4z3Ssb3jDG97wHxn/Es/wt3Xh3x45j0BDJOGOntI7cue4pAlQQvXE5YSbd3TLNXv5xEUNkZE4RUIH47Zgnj1PtfFNgS24pRKmSFwUaauiY2cqF9d4NLC5HAgqBGPQ7glwSOlwBwuhUPcT6dRToyNFx9ZGisJJOsbHiSawBE+MHUYqpVvDn/sa2KcNaUks20h+/8DhW8VGS0iNmBwihsFCY8JYcP6Ky7TmFiHwMm4ApZ/O+M2IbQbzdKLKjtAK784z3DbmIHztrmlPF0zJiFvtFqIWLXtqd8HYxtXzSJ4qRRpXecfjJZNbI3+f6L56ZIFZCuFi6CLcxAdegqf0HVpuqRnQhFw9UTmg1vOw/RX+XHGxgYU4Rlpo+MWBvjZ2KUz+RDGVMY3UAdwAHFZSqoY1KyXXTLtk9ktiaA6P43HwpJ1Qxop+9Ws4vCb2sUeSkOt67y45cNIO863D+gnrG9FdqF1BQiF92ZG15yyBgWc0K6U2hh8qVTNyuCDPA5uq7Ikc5h5xhdBl5m0mXwYu5y388LAWd508bV8ws0Fmw3UUkskc/QF3ELQGyD0jj9Te8ni35ccjmNyR6wY4Y1slLInbEilieLCBUrYYU+i6M6pQiqdOO47DBXWJxWfMU8FXR88Vi4FOCtc189kHUi/ITaUtFVsbw6TkuqxDYMhAXm+CVzSnlJtCOzZsKQR/RgW8bQw7w9FVchZ4CujuuDYexpGuCb45Knss0FPZmMYXk5il0uZGKIAIZx+4nVeC4fzeMF6EoQqfu/DangZPQ48pHaYaOn98Jcyg3lnKuVKmRJWEqlkzjqgs6lAD6V5xh4o/ZqiBtSdPsHmP14ynko492mdayOS6Q9vaHJf9aqOrpTHLShogHuoLMszIbeTkfk2qR3K+cFl6ShopZU/ffyKPyrTxyNRhc8OfPdVESl3JYWqgRCWVM/LuiC2GMHuqs+t5lkzU9V7xnHkpKyEjkgHF9Al3f8b89mrNtdvN5K8GVy3OCmgjBsfDzUB7baQUZ1nMsBKP+xd6FFFYQqSU+joTKYMeqDqQ5Ip9MyCJJ/+yfifSSDbRLWvy9ovCfLYsriNdXbF9+UoXE5vpzEsQRB3vvzYuOjP7nofwPXpQbIn0fcBqRIGoHkEwqriLku8bLVQ4NaxOGAL1cYuOz5iwcDUbNM40GvHdO/xLw8dG62Y2Reir8NRAFou/eG7EMWkisuDNPTSlaiUly21ZuJ4SfG9Q62nSc/0Mi1YiCXcKCAVjE+OLUlRZVx/BNoepkAigM6pHVHo0OjR7rmNksQuXUDntQI/Ac8P3C11JeK0spoMWQDvK+IivhS5DHg6UsVJuMv4FOhH2VjiHTOocZfSczp4S+zX/q/2R0lXKjeCeG1LW+zm/W4gn4XQekCFjTcaHQr4DmRrjsVKdpTolbwpXh4oWx9Q6tvbCUhwvlw11EIxLdKayHARTHZ4eOVwwVvGdZ2wvqAgLPdJPqCp1CSCRQs8Dd6heMC2BKtO43uthOqNBQAN9AXVQTYF65rkZDB0jCVEFI9QuoKYhBeQEO8l4Cw8BtocNQwMrZz7/AJde8L94LoOlGcNwbNR7EC84WYl+sZXnP8vFmkF1ou08aeh5OBg+ImwBmxLGgMpKLNts6ZrlqgidZqIt5EHRWSjRc7x4fOpxpcNwYc6ZLGsu4jRYijfoZw8tI2Qe6wZvIo5MkYExC5v0j++T/sXte/9chMm/J1LqX1sp9ffxNny84Q1veMMb/nfwj609by88/nv8U+x7+/01AKqGlO5pVAyJ3+iR413h5a7y02/32JJAF752niqGpoYlbvAuEcICTSi7SrrJhE8BKfLn0i/GV/vWw+DpW+OqFH5f3tMD95L52s9UWQc4N8/k3jDfePqToaVAjCOWAuJRMyAf/oBpjXDs2LCj0ZhltUL0tXGTMg+dJxkBC5tpQUWYQ8/+YyAA9qVRTxdqqWQMT22kWaHrKjFvsV1l/+Mz8ZcfcRXeX//Mt1NAFe7Hhc+HaxYTcB8gxRfIhW4K3HQZTOXnDFdLw2bPod3huxkniW6OpD6QjWVOjh9Y6LrCH/5G8d8C9ryGlM8uUgCmG2geI9CPB1K6ptVA3z+C/tkgCPk+w7bw3UV5nJRpgasTTLfXpGGLfOq5lwe25sQX16GyhiHH7YKLDlst+btE/7Xhn5Q0juS9o4yG/mtGFFQM+eojdjlh5hPzHNCrhtlV3h0WJt+4eOjPq9oJAX31mP3FUoigasjlCmsWvDnzISUW6zg6T0UJpdDXxMNPINHjDoHoN9hWCHVmmxdcU5wKL11HaI1dzjx0HXHbU263fDAX3CnC54UvZUvZd+jHjvHLC0KCMXGrQOxJL9d8a5lun/j+pwtffwnEZSTGW3T7B+wY6W4M178XZIYZOP/KoF7p5sq0KOrB3Bk+/P4dbhIiB555T3YNdn+iSx0UR4wB1YaxSr/J3EwFUXjuHIsJ+M7y03eOx68z8Wzo5/cctz9T3EwfR7plJtTGxowYKdQOzr/ZcLaOVBvt6wNoR5Ce74Z3LI+fqfVE//9Y5q+BdFptKwgrkbKNGG6R1lPOz7h9xgzCqf7EzfMDm/nAZSuM+wEXAl/+m5DYUKRD5YJ3C85kmEfycEZD5DfHH1BVMvCL9Bh/xHZH0vcFe7D4F8NdXDhtlOMI4TxSx0odG9/96ZrFZi4hEpcBf+Xorg3164m0GFJyjGOktoFcR3p/oNiFbBN3l++IrXJukWHI1L6Q+0x/6dimxnUufOk60lbJN0r3yVCjJSWP6g7Zzcj9E91j4NVdyccPmXnu+fTphs6/oGOiXkVqE8Zp5O75ni+//kzOFv3lFr0t4Bsiit29QOto0wf0K9gaCeGJHO8JrXDPF74wUKwQukJ+n9eg7W8O+0pgVlHyTcar592Xd3yridhFzHdH/EuAOZDjNT/IN0SEP8hPaC10YeZXHz/xS4W5CN2pw8g9GhzLu6+0zzv8GT7qZx65p6rnJ77yae3c5G+N5dEnzj6zXGfk+T1u6bjdfCZWKE2oDnYt45vhafk14p6x4cz9beH8vGW+BGp3xoiCGJbdLf14xLmZ+rNHm9IQYvrAjR7ZyYlTt5DxZO2I6QO6fYLNge48UPpM6dbwa16f7SYpd2fharH87m9uKdnBJOy//oIaQ+s83Y8F86zwFaaNx5dCiIVHeU/tJ3Q4YU+/flX6VRoZ6yIhRL6be06D5evWMhyPwJqplz9kzGJwz470q4TMFvfVE98tmCx0L56PNaG1sdSGD8JFRx7rLVJnrC34riAfF8iCPnaA0rpCukq8//QrtCqX8ITQqKEyXyWG5w4paxOqETC1YpfI/l1PFcvjSYi3E6ZWNp8gDyO1g7iZufLCUGD3CL/cQg2GdzXw9esVZWls+cJ1Z8AZvrE23Lmm3C1wDIZZLHPs+ciZrUvY60a6KIsIX37dUV8y7gI/nK4ocqaYzOx7GlCdEm8i/uQxS8fS3tPZA87MtCqsuk2lqXJd1gD6b8GxMxmv8DjfkXA0gW58IodrqhvoLl8QBaPKzbJwuFVOW0P7wwbvGz5UaMJVKexaRb+DWveUvOVxevnLGvpyfPkH90n/4kqpt43sP47/8Ry9DQJveMMb3vCG/xv8c64fb+vPPx9E/lyd3NARTKnYkpgEbOq5PnjOxaw/955We9TU1aNEoFSLplXdRMm4U2Of1qYxcMw6IE1RCiZ7ssy8uESpQgrCcetQCVAqxLLaNIKFIVByA7W4FKjqEWlYO1FKQ22jbAvL2dLwZGfQZcZVBTqgoM1Qc0fcv9aERcgmrWRZadTaKArZCropGKCPlUZEm2V52RGiwzY4TFf41oDKuThMTQylMBzhpQZKddgUcWNDjaBnh7NreLrJCTGNpoaJDZuu0BulzD3JVRqKPcG4NGxrHAL4qnRV0TJRGWnWUjyYmjCmUvcJrQaKhdOAOZ6xOTNvoOqAZssSTtAKLibENgqNmTXUdbVQCG66wrS6DmOHK2DCbhZCztSLQ7MDzesA6JT9dKDU/Gp1CvSmMbqKLx2bNhPKwqJg63osyTla16i+sju+xg0Z4akIMgCbxvFpS60F0cjeGFwTjPZwXD+jiMJmoWkll8KMweSGWRq2FmxTRJVaN7ilY3fwLLKBJSC1IyuQK25aaE0RMUhynOoGKRZcwupqVTk8j7TaECl4f6GpYLJHzoIbC61Xoipt2aJFif6EOoMRoU/KspnACWkpiM44o2i1DKVBKxRr+bNFjCJE8/fuxdHSvOF8LCRTqINQywVcxRnLVd0SbSOZjDWNWjxFDUsxMFdcbrTiAYORxhKntZlLOurDDm+FYa9cTquqcPV9WmqzUB1dFrqlQ9QxVYuYAH1Pnxbq3EilghXoJtQl9GJoQ6N2hTYrNINTi92fmICzCmau0EHtN+ih0iahVGGxhVYKfl6HUVNBFtZ8F7PaaFtp1EnIxtN2FrGK14KvG+g6Suepp46mDqmNUFeVjSKUriBGcdkiTci242i3bLYOEyKpnNkUQ7KNuG9sTooj42WtuFc1UBU5Ntb6NaHKQCie3blbG/pSR6yO/cESxXIaDK4WQi0MrXH0DWmZ3eXIqV/LFYofaeNCLZnlIoSSCdUT8o5je6ZKpZiCGwWaox4GzAI4mG7OlFIRKt3JYZaK1kxxC7MIRoWhJOx+ovML5gzb1uOqoaZINpmqBj1vQDxtUC5+fL1XE1MyoGsG3klg8WvovZuFUISggq+VpJYmglQw3VqqkOcIDVy2lNNCtgtlW+mWvD5xxDFdArb0DK6Bi2CgGsvSNZalgyTMdaTq2uLWWoLUIVyv97qu1tRcLF4MXgylVcQAG0HbjCkOmy3NWtQYFIGXgp3BC+QgIJCrR2u35iflhU29YKzBBHgZEyEXdnPhVJWlVFwuIKxNsbkih4YvhqE4DscKKazX5WH+CyF/GpWQob8IprIq7AbLfs54n7GbgqIk67lsN7h5QprBzo5aT9jWGEtamwGbwS0O1fVlQjUFPITS2M3K1DoaQl8utNmgamhO6clQoLtA3QZmFQyVMnlqhcsm08YL6iFZODkD6smnEWsjSmXxShwLxTRsdcx1QDWwWw6kZikiXB0Lp4tDF0NuMwuG3ALNA9XhGvTnhRjXht6tztgWwSTmPfjJ47JjsRVDwYiShpELDVcbLedVcekVjYKpqxLM5UTwDu8M6hraAaa9FqkIoq/ftxEmY0g1o25BnbA5RRJCtv940Pm/G/ve/+nm+D/yZvofEre9hdS+4Q1veMMb/nfwtk7860FV1gQiEXTbsCnhlpmjwn4ZuD3v+a/1SOkd9LA79ohNqGlgHK35dRDuIy4JYW5cpYjFoOJWBQKG8jp4zl65dEdMKsTBkd4ZfAqYKUOqtBDQ3iKDX/NGqsFPHhWDsRPev1BipfVK2mfy0QEd4kfKuRCqgNmgPK+KnLyh3C6ryuazMte1yp2kRJRqLakLcJOxpdJdlNItpNZz+XLNzhhA+Hq446O/YGzkMRaGNtPVxv4JLrynAlZPiDVgHDJvcLcN75VwXlZrjjqivea+fyS4ynTsmF0CGv4BNjlhpfLNKTdR6NNqMZzxJBHS0PBtwijkm0pLBp0NPG8YnxfCWTnuHaXu0Nwx7c50JdKlRgvCorCwtlKJrjZDf7pD/RG1M3y7xewVd73gfsmk1K31Sz3QgXjl7uGBk3McXMAQ2KBco+SyYVOfcRL5FMC1Rpcz2TlqqNRtYXhRrELD8IwiXUX2hceXK0I5M5Yz196i2pN1QJ4UcRXpMnZ/pqmSI9Rth06V+pj4eC74BgVDLlvGErg/C78Tv1aOm0bTZ1zKuKc/Z4cIFM8h3SIm04UnHFCq49vXDX04Y0zBmAOoRReLRuCuUX1jEjA/X4OplA8npPe4BsMlcdxdyAO0Q6OvR7wayB1jjkAl9oY/88AYYfGOP9d+mdGgRjh8WUg3CQLk5Rl1BYfnulzx4AuTWUgoqQ3U6tBzpZsWXFmJ4vUIG+d8QEVRM3D+cs/HHzLjLjGdZtYtucASKMmhxbDHMFx6zBI4SaMNntINbJ8Sz1U5mYZ0CrsZ6Ruab6nbgm4K7VvBN4NvjnZ75CLKS4Ox9JRhQx636B+gNqVJ49wnbFb6uZFHsNFCtFz8Omyu50gpM9RkkP/H4myhS40Qd2hvSO8gHzZIFawYHC9YaYhA6QquGvziQWF2Paf+hr+9UqQeOE4H9lmZ+sL5WtlOE4NCXw2fYCUyEfQB1CoEKHVgjMq7i5I1MCG8GMP3z5alN5yvFX9MjDnyLiUuDmxN3L48sLxXYhjI5j3SfaWmwql07NqMbxZTrzinI9kmii1s9haKJT91dJeCjonn7w5oVPxk2P48UrlQTUF7uAC2WcYW6W8OOBvR3wpb3dBhOLQTi1koxSJPexgqdVd5HrdclQWfCi9HDyiWwgsQ+4y6Rnfs2FbopGLIvMrs1ou2F3BKfligKFosS1SWu4W0XdgfFc9KDLxkg7uM9MbSXU+IV4pTHm3m8hyY0gbJ0PSC6gxckGWDxD2mHTAKtghl6QjqGHAsJLhSypWi+YCZLW721NdmTlSpX3Rtd7NC1xeidUT1EANO1wKAK54I3mI3ntN9ojsou7Py21YgQZD12SGtrc+Sb8KAsDOO+amhbcClPWZ5pLlG6eFxD7sFvpsNqopxwA7u04L3mbYBCpzFc9juscuqsvLFk9ozXVN22RKtQ6rBnz0IVFNJISGjrGUbZ8NT62nauKmZMnVUMdQAO0n42mCCL65nNoYiC+W4oQblafuw1lUqLJ2wSIDYoS/j2oBrKicnxE1FTSUswjnds1TDeD4yBUc1wv1DJKYtS7Ms5oFz21DwDJIw1eGK4TYavkpHomOrJ2Ch+sxxK+yWjiF7FtvW9k2BNIykajC1MuQn5KogQ8N8CkiZsW3GpcToLX1nOQdoHkxTdjKTCCRdr4PJOi6iLEuG7YzrIz8WRYz73yKl3tr3/gXwT31T/X9iqfhf4W3YeMMb3vCG/3x4U9r+y+GfYt/z/r9wLZadGH4eG214Qfpn9j8DJlB9oKqSfSa7zLgMr2oXJX4s2MniXjxX1+/IaWaeXrhaFpaNcroVvjeWPFuOR89yHzFJsCeDqF1nGwvxZsEkQziuG8gSKmmT10r1Yv9eFo+CtNffU8hjpjuODBmuc+JPY8FX+DhbHntPFgMYlquZkCs3j3AZO6oxSIXles2eCEdLtFc0XzCbb9SLYrKlLyP23WpPufp5wyFEli4zXy/Ilyv8Are8cOkGUhDSbsKI0OWe7779xJf3n4j2wvhLo74XXCe8WyzPyTI1mFwmFE8owrAsnO8gd4J7WRvgVsebohiMKps8c9QrsozcbCyLnimaoBlE1838Uq7Rqw42oPL/cn8UxmT45acr2gtwavSa8CkhuXHgBsYLjBG5v8HYGdcWfvqdciRwwhHmC4vsKGbkx/aNdKPEvbD5o7A4z9Q70sdMmwpyqvxwMszWcXmtWVez/spXoCeLPltUrtnfT1x/PPHzecfmuHB/OOH+VjgcO7597vi1vSCsCi9jhZP2PLDlw/9nQ7wYjr8of6s/M+P5otf47sTYlKssfOuU2BfymOiOgZY8OXf0/cSohauc+Pk7u7Y5HdY5og6N9K7QfXKY/HcSpqqOyMhozjQbmWzkV4unBfjlvkK6haaIPMN4C0tH+6PD/viAMQ33ZY9lppnE5CO7C3TeMfxmR/jjhTI3HkLguhZElWfnUbMqUDoXOedrjFh+sz/w7ekDU3JI+IZbIq0KZ3tLFxaML8S94C/Ka1470a017X0aMQYsje4yEUNAQ+DD9Raez5Q58hA8LmdMayz9sIaS+Ub+LtK+3sN5y/C332gvlXZpLNuEjw5fDONVIl0cefakOFABg/K3vHDyjqP38MoJqgqJexxnHCcQgb+3Jox5bc167HoaBgykX0fsyeAfHbz+NzVAge1Q2G0KfzxXil3zcvpLRw2Vsil0Tx01KGVX+PUXIarhxVnu5vcEFqx5oZTI4iynPtAalNKT844xPIFpNHm1oQIW5TYm4kb5+lEYvjiGuNqS/9RuUC1s2xNH9xNYpXfP3P+QqE14+Nqz0KGdx9z1fPfHZ1QtX+7vuH74I9TExQeMEVrfiPcVfa6YKHS1wy8LolDcwJhWxdul67jLGYLnl1/9gB5+Ri8Zc/xIpxFs5LJ9gY3FYOlfehAQtYR0jbt/AD8zPXXA330P5m5EgqV+OpFcXsPch0aYbrFloO0StyfFz/DbMrLnic5MTF1gKT2tGq7bI7MOJAmEoVGHQPMGygTzBkkdrn9ZLVgNvkvKo9vx4gY6/cqfXb/9PNELBCN8Cz259JTSAwMhnHH+wmXZoy0DEfPTeQ37rtA/dviY8TlzO1oOW/i2A9RyfVTuXpSvIZBqIJWOasBcz7j7C/3/r6E4ate9tvI1Ol9ZlpErEh9l4sAVVTOqE1PvaUZQhDlarFFGXzHbhdYsZen5YZnJRnjsVsJURWgYwjRRPZxvAsQFST3mco/edhgifnkkf6cQGr5l+BZoKtSrhntxqFXquwX3pcNOSoiRSX6g9MD9z7hTTx/h/RL5k94yd8D3j4SXgFsgxEi9+h4dLW73mfzVYSe4i5Hn3hONBYU0FhyGv3m84VuYmE3GAEu6pTqL+Zs/sfn5ln5y9DdfOMXAkgIpjrS7Exoq9vOPtP4Lai/odIdpAcGh4rnWbwQufJZ79nJmy8IOz1fZcLYdv76feDxuOU6BPnzG7MD1ws3DxJQbc4MaBlLx5PL60mobkNESLl+Q12Za+9rpoCIcDod/cJ/0H4pp+mvZjL8NAm94wxve8J8Pfw1Zf/+c/6//8Xje1rb/ezi3kFvgrAHbJkwuCI5mleobuYtYBy5X3NLY1kxVSCjhUFBTqduGzAeCZMxYmKySnSCLZTGgseFrJEfQZKk5gHUYKqYmwmkDraG8Wldq4+bUSAVcqwytcbarZeTPQ5MtFl2UVgZKayw207KntUbUQi4j1QjWFYQdFWFCScmgpuFcpJ8NpikuZ5pGqihER5cKUhWkki5rG1HnEkVWq9FGYR4SxcOlW1u+UItON1RtpGY5dgupWmrraC6jWV5DaSu1vYa4NsGViilQrKVEiza4GhtzNJQq4Cq9CE6FXB21epoYlv5CXgyt9liWdUhH0XEi+IhVJS8OSQ1yY/8SqdNAKx3NJAIGL/DSKuQAi4cXAWcQHKYV1FeKA533VB1pLXAIQDMwGxyKdo28LVS/IchCX2eW1zfPfSkkVZpd7TQSoVGpfUH8kUJlOQqtTiTJHILSiRBNw/iK7JVahGV2+KFSKUibcS8Ns6zWjNkKURuuXBApFLO2zmWfab5CqIhRxBc0NFAli3IMSp0tpkCXM1PnKEahrsSGqQZbHbUOqBicSfS5UBHmceSy9NhUuT6ciR1klJyUqxwhCUftMItFEEqx6NgwUhmjInUDYuleEpNrxF7IaST1F0SUPG/YMWFNI4rFtIZBmS+FFNYWM3F5tabkdeiq/YyGgk0e3zdsr5STwTaLWCjbEZgxVdHLNfiI6RJHmTC2oF5IVz3+WPBzRUsk0pM1UMoC/dpglw8bNCqqFdwDJhesWuxlDfgu20qZA0YyzmRKbbTWkNb+Ht8hWJ3pVRh0IOmFYoRiLJUNS19oPsGi+GpwxbI5FUoUEmtjqLSMtWlVIDalJmWblFk8i+2hVkxR7GJfz5OBo6PlgEpFTGGxC8kq4jfoZaSSsRppOAKFQc8s+4CpGXdaSFytzImZmSxUFey0lh1Gq5x8hZTRVrkYaKNZ20UTnPN6LZcoaIhoaeghIKWCVEw8Ezcdthi6KbN4pVZwF6FYEPf672Fcybj6ugaqkEvgPKx2rnYwDGeBZJgIdGHCurwGnSdZ10qp9HVVOs6D0IpZ1az7ipw3SHQYGmH2+AKtFIZNpQxwkD20ikkTdhqZZSL2mWsVNHWk6hjqBaWQjYEGrSs0/0ro5QUp0ASqjdAX/J+z8UQ5hEQWh0OodUPQSCDiaLRBWAZwp0RhQJ1H7YGsjZY8WsAYxVpld9kjrw2kC5EsPVlGOo1EKioVt4ArYFVRETyVgYXDHoItbA7CrNv1fKP0dGhQyr7SUqA2R8XhNaNSWNzaaOqN0tuK8Q1bYcyNJIqKIq1x0B1NldZW5liqJdSAbzPSFJegCGvQuIu4JSKyvngyZrWuNwTTBIohnyy2KFYarr7uj0So1oKk9dxGRysjqVkO2tHRY1tjuTjGOGCLY5aRMaxk+OVlRF+torNz2HGkN4byciKbQrOGk8to6zCtJwFiKtYlKoqRGasBs1xhcsTUiDiPrbrWXLoJxgpecEuhaaAJyO2JJSdyBpk8QYVOGhcHua5OcrkYNjljqCwChUbRxoQjaiA3D5LoN5XRNg5TodmItFWl2qqhNQOurkrv5v/xfdI/aZf1hv8O/1qkmIj8T4eft4HhDW94wxve8Ia/PoRwJuWRSzb0XJDUkBioDnKXyX3GDuBeIEzClRQWlNYa9iukayXeNdofHulGGG7hDx2wWMI5cAZCyfQpU449qQZi6qHrcWYhSKI/XNFMIocj2WT6otzPli89eBpXtTC/VtgLrBvyurZpxbQnmkILC23yVC3MUkilAwvWFuCGKp6TUbQmrEa8jWyOgm0NlUyxF0oxyMmzSasa6xKgPHkKcBxWi4NV2FbI40xycNkJ/jNw8TC9QzRRbObL9ohkj1FH6SdI0BZljgs1KOIMXQ34FJHWiMNAmxzWKlc/XijqKdEgLrGxFq+WT9VTk6UJnHcvaLlFUo83y7r3sgo3z3QVuiTM5x6NmVoLN1/WbKoiPc/dgd4YBmvWvK88ICWg54gJDucaWgqlb+ROyOYGUQ8GnkYI1dCdPNDQsVFvG+gNm/LCVVr44jxDWWvgj61RvEeNJZwh20IdIwwzKXlOjx4NF2aUqVe2GQQl9JV8J8TFcFLLcF3JZKRkzNczXYVRhG++Q2uhLxNZBooRzkbJLqEOjDMrGRIKsklw6IlWOG0FvnT43OjMhePgXoPlG00a1lpss9S6RaTizRObmsnechx3vLzsGWLk43Lm8F1lNo2UlOvLjBblyAZ7NAhCrIIJBUNl8yLMsqUVg//8jcOdMrkAlw2X+4wYKMcto0x4Uzm7bs1YqY3zixLfL5TBAhlTAkYCpvW0jaC+0n2z+PcFE5R86rFVMOJI2z0qGXIjvtyxDV8x/cw3TQTrMV1HvR5xMdLPCZszkR259ej0gunPMETib3+NeJCQwTxiTMHRME936Pszbb8gjw5vI8FGpqJkhT+PBiut3PByYNNG9mXk1F6YnaUYR9YdZazMV5Hw8wnXHEPp2D9XjjQSQik7rJ0xJq8h0FlYiuNmbtg2sHCN9I+YbDDFrErLGOA00GSLugmRJyZ3pnQ9adzRzYEgJ3o5U9QSiFyZM79cf6DN4J7OTLJFXMHYmbN3aybby2oXykE4b4TuGBFtzA7cfUUK6Fd4mqFlQZOD/ggto18HlAS24qbK/OEKlwNXL1+5BKVWy/jY0+4aEsBlYbnd0SyElyOC0Jolp57nu7jmfX2CbRMshtk4NkMm2MQlBlj+bhYbSoexHY/XSneymOKo3yXM1GPKiGghnJTeZEwuuB7KznNcrjHtARsjNu05X2Xq5sJPrfBwumWuHd/nFzSAGIsUMEPGDBVOPX6OmFLI40gaJ2qocOhfS9mULy4T6gVfK7F8wDWlJ6JGiDshXQv+JWMNiHeof6DGLS3uEArOFoJv3D3fY1mVmp+6z0TpSDKCeaSgUCrhGHC5roSPKqNkrlxheg+bI9x/Ef6b3oAkAmc2MpA65XJd4MmjzZLZYeUPYJUleIxCZ5RbX5FdwU2wfRBeXu+BDDxyg9FMp08oq+2yyyOGI7SGX4QaBGMKvjvj5xkQajeAriRvUcEDmgQ9OhgK1sA4KXOFIkIOayOdFeAcSLojamAm8xGLq5nHU2CbNigdj95y0x8xNL59vib0R7DKwRi2+y1BhOXrIwJUC89uwqc7TOspgPdPiJ2oWZB2QVqmTr/CtE84ZtqwIAlIBtwLeSi03hCOkZw6ijHI+0eWuaGTReaOIBZvDF+dIWqDkqlHYcPMKIWfRSlaqK1wkoEse4ps6PnMZpsY95XD17KG4xeAkVotpazrXKvhtYH4H8Z/KPvev7VS6l+zafCNlHrDG97whr8u/DUopf458aaU+u/xT7HvXV1dkfOe0vbIf6m48wn/fOGeWyaZuZgzt+PCeRo4HDcImf0I1xvhYYrYmgklMzYoV0K8E6aHDi3ySiFBMZliEz+cDXPb86DvUA4wzJirCzrvsVUJLa9qHzqqbNEP38AVrCr3vwefRwx3/ILHceGOL6j2SC/Ya+XhJERTyZuFcB5p0ZKSBeMwXaC72pI3v9DFyIdfKs+hI3olbiL0gikW/+zJm4jUyvgIozcYC8krzFACnH4t1AJ2Vraflex7igSi7nmXnnEknvsACOob6XYhvAR8ETbXCwe7vlH/4GD6uVJO65v64V6QrfC4hVoFktB98RiEhnJxM6H02OYQ24jLgCmGvzHPvHjH2a62JlHFqnIzJ57bhkk6hn4iD5XiGuHiub0yDIPwy6dG0z8r0F4DuI2SNzNtukWXPZ17pC8Zr5XHv73DniLhuLDfLnTjHtfveHj4zDhVNgt86tYhU1Rfm97Wa+FmGVlc5txF0o8Je7a4J4fyd/ezMau6QZuQ8w16FeHdiR9+l0i9crwVzNcA1QCK+y6TTc9c9mj+xnaq3L+ANVD2W6YP91x+eaCVsnIT84h2Hq49Pz18pfSebz/ckR9OaF0QudCnHrVKHjLfFUtJPd9Ot5iPXzBScMceqqwB3TTix4Laij1X2tOPSDUY/0yXZrrOcvXjHd8ez6SYV9toKLRmsedrqrGIaQR3RmwjqON+uma+/crcL7x0Al+/I1TLu5/+xOm5o0wwLDMbDEYDz/o90w9C7Qvh0wNiFFVHnN/h/QtBZq5z4hQcsxMWm+mqpTfCzV0inZQ2GbbpmmWTqS6zf4w8ucDJBpbUseVMZ2YeR8ttFDZV+Pld4fYMu4twqhtGmwku88kMXNXCrhWK63mqIy+lByJbzmxk5tT3CAaj4OczxXuyD4BhbMpQlU/1hmG8sN8c2V3gOV/xUG4I4YFaB1oZ+YE/ER1cnONuWTjrFU/cccvvSfvC+dbA0wdsKWsemwhDX9htE/nzryjVE0WI/iu1eUrZE8JXml1INtLphhZGynaPj59ominS6M4d2jvKO8dPv7tgU8/CPa39QrKFS/C8/67RKjx+Xa3KqqwSIaO00JGu7hmfv6F2Ib7LtOkDdhH68xPNQGca9yHzRxqLA3fl+O7z99ho+Wa/8j5dE1ogqfLFGmaf4OoL8tyvIoFfLfSPFinKfJ2Q/hZTHf7TiRI3NNtRfxzYf/nEMJ0ZnHAwHZGeLl4zkcgohhH/0xnZzUyHCx+CMojwh6eR3bzQ5zXMfN4Zihd2D5XarTbK4aJYIzQjfPU9fc74UjgNA/kO6ga6P0HdV+qm4j95RAUrcDcWytmRFsvT+zN26zC9JZ0i9hLwU2Abz1zajpkNP/LA7A3nYCl3BT0OyPPIr6xwsYmDi0ADowjC98s7rLFg4Gv8HenaUe57vvvTmaSGowSm+B3GLgT/zN1yj5UJtS/8nO/ANnq/IHFLHhfi3Qu/+Sy4sqVyz89SKCoYNfj+G5iKNmFZbtmifCcLn8NCEUUwxM2apeanRs9C6Rqnm3X9GSfPh08b/rBvGHV8nEee7IEsBVVIaUBE6fuJd7FQmuFPbUPXJaxdn693cbVnfvOJfUq0Ct8YGLsGoTLvIsPsscVSilDe78EI/uszpVyjagj2gXiXQSrbPyo1DFhjeZ8SJy1MneX8N3eEhwkzZ+I+8wGlK4bffrvh6upE7xeWb8ps31PsQOce1rUSC/YKOCNtxp8T7gPozvD86Yawu2D7RDruGKaJkCNPVzB2MBq4+Wr4VgeeWo8xA9ZaxEH58Af6Q6M7Qu7HNbNKDSm9o2sHOn3hW4n/4D7p34Rp+pfa6P5H2TD/U0Ld/62JuTe84Q1v+M+K/2jP3P9ox/NvDW8qnkS+JCStw/tZGql6StkRbaU1wfhKzkJSWGpjaFAMLD2rjago7dDYxAG0oiycb0BcIxjhsqyKnNtWOZlCVUubrtiXtJb5NcNyU6g2U2TGRUGiRYHUDMVCG8/0F4tpmcVabD+gxlEmyCVhJbFdhKhKdhWVgoSE2IwUsEvDJda4b1nFRdcLHLs1TB2EVgeoEFVwkjCmUVTBrFYd/1wJtUeK0Eir7cgIrs5ELE0DV6UwGUOuYGdLSz21Cu6yEPaB4g0XF4kmUAQIETyIWd98dwVMgaZCMhWlEaKycQEXOo79EaMZg+HgVnuIUcMmdUzaKFrxGtlIwRiYXpuepAg5W6YFmqzZGtoMra1ZPaNZ6MikxRNro8iCSKVZpSCAg05oe8PFLNi4hlVrWokkNeter2pHawG3PdCyRZcOrxHTHCbtOT8f0LySVYLQgqf1ATlNCAVxDSkRcsWchZqhGYNMlqbmLxlEdbYQHN457BGkKacdDGfILbPIBaWhzVPbQHPTmqezjERj0aZ0LwlypVVLbXuEitCwyVJSodWEtQsy91iB0DyLPaPacGrZnBoYiMUjZkIdtH2ivgjJCicT6WzBuMrJQC2r6q/tZ1z0mAYibbWWSGW6OjLVnpQ8bM+MshCaJU6OzPpdUCE6g4hgSoSzQ+Oq8HN5bX0rZkakIihda5xcowWDyyBtPcpLVUI29MUgbSbXnkU6jKsogb4GxhChKlUdTqGJkA3cTIJHyQOU2JhaT8xb1FkSM5OBoW0wgyJ+whwbCrz2sVGDJXtLQehsY+cLBw/LxdIWi/GJ2uA8d6gWklSsmRhrZJHGFCrntCPXStTKsd+Rm8XVC0UN2hxuEYY8o75SN5kCtNowFyWNJ0rxtGRACmLA2HnN0sJg1ENVTCnYZUGKYlSwvFoCi2LOlVQakJj8CVOhicUgxAurKiOPOLeACrV2hHJGbETcgVSB0qGHERalaSZtK7sCQWGqFtMM1hia65nUIsWQdWQylWwWqjYEg7OFsim0ZNecuZTpmmKbkBbLmB2uWFJKVHGrsko78k7BG+plS5EKUqhuAirmtUquzRm0obkQmwMsplVy8+t5dpnsK7VrLN6hspLSSQu9gjEr8ZQvgsbVLqUVSOsa1IkgOJayo2sLnSzEohRZw9BNcWgVqjZMcpgqawuhCkUTBTiLo1aDZAOxEHymu51YLp6oSqkOthOgayPjPIMVzKC0arEFwikTm6UqOArOXQgkNrUQ7YS8Br3rbkIRYgXnMtCwi11bEEVotTIyEYNjHkeuloaViu4hdSdyChzmgUaiKdTaQYm4VtjUSjUWrRY7C20cWa/IiMtmtSCnM51P2FCJVwKPHlst2+aZ2pmsDWsrLXjUrBb1aAsqSh0iU+mgQtCIr4ZWG1oLJoFplTqAnc/I6l1EWFArlJvGNis2QVNFpdGMMDlYHKQAWjpUE6oZdylYs8G0DtXV6l6r0pzDSMGykkGtWVpzaFa2odGbijWVZoQiBi2yPuubY7Mr1GKZU8DVCkkoIhx1R7KCOMER6RqErNSTh9xoBkrpEFMxptL8kdYSrf3j+8m/fvnTP4C/NgLm3/oz/G+K3t7whje84Q1veMO/IkQVLxlvL1ye1g07wIPNUDtMGTmlCUOjCwu1dsRaOabCh6KcBnjZCuXkcaniz42tbDEy0eTE4VpwHsZmeT7s2KvjO83krhBrTz5ec8cfAGWh43JVaCFjWPB/Ckj2qMJcOsqYiTdPfD8LDcsxBPzVNSV7pgeltRM74ENc+NRBsRXTR9gI1ATHjJ0FVx329ThDgQ+TYR57ogiQkTzSqmc2FjVHLHm1ufm1fan/lHHS04xjGljtaUBfZy5sCKr8lJ8oXaA2SzgGUtzQKrj4Qj8OxN7xzEKjQ61Bx8Ts1pyp7skxxjWI9dSvbUuNwn4S9rsNtht4uXnGtrX2+kvfCFnps3CdR6JWFhIGy14ig1047sCdPHb2TNFy0kqMrwRSDZTSAY7gMtcUymnk5BKTizSB7CzZCFSBrkf7juP5hXCujOdE7QJVMtWtpGatPaVu8ZtH2rkj5w1GfsG3K7p2Rf2ykF2lhJVIaUOg3O4x04xoQ1zChfMarvJoiFWpydCO7lV/t+qrysFiBkt3JQwnIXbweK9sL0prM0tLeAKt9ZS8h+0T0JD5hqNxhFzZfDojQyNpoKU9dM8YCmH2LEtBpeC7C3Lc44wndIazPdC0YIvj5nm1lH7rPJ19ofbK+dpioier4VAXfvSJQOWxKExbxAry/riG2qe/a38qtvB8fSY/fE/LDu4v7ORMqIZvz440ZugqVWBxFhVLKDP6Ytfsmx58KVht5O6wXuUqOBFaD6WDYQ6g0FAeI3xIli4bsltYyo5L25D9TJdG+ua53j/znBzn0tEXJYtQrfLDqTHtYdoq5aBMaaSWHb7A5ITklCHukM0z9vpAiAFtwvzaEFg7T9kEogqDNPY28zgKsVimi6PzE7l45mlLHi6IyQRzYLNEWlg492ee83+htYi2M+l6j68LYTmSZB1g/QFu45E4rCq7AtRn0AeYvn+iZosc189jJGFcAhTbDKZ1q3IwJ0zOgEXVslLXIFExsTCVRnYL52FhSD2mrYHQx5Ol1kAuI8amv7SBdu2IcQuiC7lsIQ6YZY+2A9pH8m1mE8Fky9cpgIBvnqx7ntWuaqu24di9YGxi1ewpLqy5S1osGgU9KWMthGaYzx03yeGq8Fgz9AvFQ20j8VqI6ml/uiboEUskhxMWeaUPF5igzQ0CXCZDbBYvStSeSRyDv6w5bq6B96tKtjWqZoxZ14B6nUnqqfV1xE9tnQ/VMFRLly3nfMWmZQbJPC0DTQDfcLOn9IVaK92lW+1YrC8XOhaKLjxxg6+Cb+APjf1NYXuX+PynQIxrODqbI2hDsnDRE4Or9JtMLR19quy+Lnzre1ypDDlT+hfG1rjKmc/dmWIEFUe7PqM5UE8brF+zoPyp42gaYhWpE3e8MHc9821g/3PBu4LeKi9LYjlvifMVPUe0GXLZ0C+RQRu7nHnoOmoxhAMs9hotiaqf8LWnqHJmZlcE3xnitSAHj28DV8DvWyNJZOgyS78FwObMyVaaq+Q+ky+3WIQtn+jKSBXhmJSQC0aE4wjbh4hNhjQMWDdjghLvMu//CN1JeFpLFakiPHtPHBs1GCQFtBlElf4FrNmisgEmyrwWutY+YCQiupJSpXhqDagm+i5z7RtiHVmVJSuSlRID6g237yOPk+dyCQwloVVZ1HLgDlzC+gVfz+xLYlcq6Xng7JVLEPLc43xEbEb7B2r1lNb97+yT/vXte/9cSqm/NlLqXxP/s2N/s1q84Q1veMMb3vAvg3+Kfe//23UcnedoPdPccyuZazK/4552c0Fuj7THxGYWdlH4slW0BzsIH8It7hixj2daExZruTiPjVdgMi1MTB8HbKr4U2J5956r88T7b8/87tcfyVNAv1gMCxsKNxQeNxPVrBPHfUgstedhuWEXDUUzZ7ngdIu1BRfOpLzHbgrjd0fSLw67eMbUk3nES2FvhD/wjjg2zHdP8O17/OzZL4m5OwKVfoF5XPO7RZW794VK409PDZPfM1b4sXzjlx8gqTL+oTLJR7IztO0nvp8NQxGKKlnXN7tL79ncBMQIh6fETbzFOOHTd3/i/rEnzMJLO1NcT5WeJV3BuwfMdqbvDPLNY09CHxeWzpNMR54/sJEHBjNztb1lmg/MdebpnRLmDpccFsOyS5QguJ9/QK8f0N2RNgr+2WMOjmnyhFAJr4RQSltKHWEAsY8IRzhecSuJnU38/p2nGwNd5zDmzPJ4w/x4TavPryHcjTBE2j7T9pUyXa3tT0vhnb1wytc8p1vM7re4Zgmthx8c7VLRl0x3uyC9gd5wmCptaeii0AlMAxy2jN2Fuinkq8JNDLQoLDPMbgbfI92ezZfVTjPsz7ycO0JtXLfC7/uGLYbr2XLuLckpyVWG7DHNIMBy+47WZQjfXtv31kE/v0to7mmfPxCuP2GkYOaO+XamYeFwxW/mA0LjS/D0m0htnsPhns6dYEyk7xPDJ49ZhKJwE9dh7mmAvFuVCOHwSnS0iosz0/eeYh3t54HBZUyoLPcR/fYRqkfef+Yqb3HZcjldUISmlpSu0f4bxib6y3dELahkNv20Oh6tMo4ROSgyQ2dgcoFqAx/1ilyORMn88t2P+PMRu5xJ+4nuONJPnltz5pvvOTjPpkWuamasFVHh3IQLQu57rqoyIvzxu2uuz5b9uXExP3Mqey51R98/EWrG1cLDdkNoja4ql3TNdbtwzYU/3H5EcsTHC3dxJjrH2TuSnzHNYqtH1JFDIXcRirCPHXdLz8/fHylThz5u2PSX1TJnYbYjrlaGErm631Nnx/IopO6Frjmu8kjlKxc1POjAu80ZFWHW8PqsdeQ88mvpKDbx5F5en6RKE+iWSGirve3rb4TWCWM1nF4KGg0hDRgqvVbuWuaPe1h6QXaW8MkhScA2/E2iSeNyAnNrMGrx3zridEWoyg98ZbmtYD3DfM/P5oGskbtZmHxP6oR4O2MTmGRw59US7Qh8UMMLJ+bWWPIt9z8+4ELm83/9ANePmDDTnbq/2K/5yxGu/ySbqL5i7y3oBoqn+7KQykhrnt4fViGjrkFKIqvS5LpEitmQTceZmbRL1K7SP/b0JeNK41t9hwwnTDcR8kA2a+ur7FYFDBbEC7ooZoZffYXJWE7O0VjvZQPcxsblrud8NzD+14U4dsxXHf3hGzWPlLzHWNA2g54JfzutJRSHRldGuhwYkmPmmeYM6j03KTFtladb2F4aed4yXW6R4QItYOKWrf6eui8s7y36ux6jgh8UWystFNI2404drih9rfS5sfTwcGfoXzymCIaVczPV4pPn9JsZVzLXfyw8mR/RodG9+wRPHTU55uKh3eBMYwhPXOIe5wq3t185T/2qHlNlnh2I0g2ZOPe0GrCyoQvPMCwsHyPdV49dDNXA+5AR1/iDh3AOiArL9YJlfW583wtPD4FlXqnLuI80p3QvI+Um0azSfnvFB+np8PxBG+b7R8w44T91r5lohhivcW7C2lfVlB2xruM37w3PhxOnaaEWQ5dHPB5+9YmLW1s0u0+ebDPFFugcN2dlN1mO+hPNHVF3RlVQWa/fYYrMO2XeQHfuEF2Vun+V7Xt/bWTJv0dy639l2fuf/fwNb3jDG97whjf822GylqiOXDyqhsUrp1CwccbUjMzQqgOBbAVNgsUTWiDWRs2KMY6yr+S2Bq9Wm1BTURHs1JCsaBE4KSnByQpuuWDSgmG1OFVpzFS0rVYPG8BnpdSKJdGsgBY8ikjGS2FXC4/hAlTcIZGbQUMhbhZaarhicKnHmUptDZksJUw0Y8i2otrQZph8Tylr255zifkygqvs9ifmJ6U2YbIWjby2OTnUFowx1LRjro7WKkaPa4ueFSowvw5lySSimzFiYLFIrmhTcr9+B7bBXj1z21CqpeTGtla8NrK1KAansJEzWR1z2xBKwYyWwfTczD3ROEoPGiekgFMwelqDcKcR0zImGUTA+8ZgKx2ViOKZMFpouNd9mwfXKAKzNdA3Wq3UiyFrIE+K5hlnK81nilSkWFRXi4T2HikZYmVpDquVa5l40SsqhUJFTztIEUOmoYQMXbUcWsEX6BfhVAdCcowUogBNsLOhFtAs2GxwxiG14dIF7QdqZ6gD5FrR2XOKA800DJXiMmVoNBxSR3yZESrZWtqUkZwJfaZ5pb5mWzlRoK5WuKYolqQBfMTWRkgziwjNCrkruGqQDEOe6F1FqqV/uiLOQikNaxNLv+ak7ZIjT3W1lWCoXQMaJnsQRUzF0aito2SlnYBXe8320kALpb3aSmuHNkffzhRVVA22ndcmTQRrCqoWCoRJSc1Q7drG5lRxtfGigeZGqs3YONHlBV8zKa2B0c013KA4bVhtVBEWsYjAThst1LUMkEpSQRTM5URatpxKx7KF7COoMIaMzAVNFbMphNkwRMfFO0qzLGrQoWCkIlmZrs2as1aEmreYVvG1oFpovVJHZT8rQ85IE/TS46PQs7AMA1oFWQTrKzhL3Oy4pECrhRRm6iZDcpxzR9vviKqQhSKrplL/bLGqENrE4pUm5S820taEmg19AwnKZSeU2SBRaaZgZcQG2PqEXnZQlWOZqIuDBtrWMGZnYLCGedqAqdz4iTkaKDDmiLTTSqI6SNWuIe6aoMlaqoBgSyUAdXKY1GPV4HcLbUmQ14a2URNCY7YH8lyRaLjSQm6V1v7e7GmUflOZL91aBHEVV/WdgBbFlIqplrrrMWcwKf+9PwvbvoEFg9I9QOoKSwfMYPJKyBZbaLlCVZyL1MFThz3l4c8Nch4bM7I65yhdwSSDTYai6700tsZkhaaBWj1Oj9hkkEtHNTOtVvRSqWlH88BmJhwLtmasFvJkaFkQVcpQMbZg1JCCQVkLC9qoYAW7GDaiZCnQzlSJCKs6sWwbzYOZhaTdqsqqC5RCc41iwamgxhG7gUYldwXpFkZv0OY5pwHZXbBkbGzoxVOy40wGkzGuYDohsoEqjGUmXh9pGJbJY0zGmELOluICDYebAX1tgE0WaxQjGZGImtV+LMbRa8AViETioKgDm17tqk1wxw5vMsE2bIYQKyULMxtkslhfaNuETQVbheIqSSKQuCmVJTVULPtSyaoUNUi74CViTKZkxbYOj6IKUho2VpJaqlSMUdrFYk2gV0fOa1ibFUUKFKtMQ6Wlicr6XMQmtG9oWEsRWu1gcWyGSMlm/Tv+Efy7tu/9ZyVe/iES7U119oY3vOENb3jDXxceg6PkQM4doEyhsewyHWckCzz9XV3y4kGmgI8DgxmJ/RcWFEIgfoiYs+AeQf2y5rIIuFNc37eroA+VxUALjv7wgi2KB46+R41w0dWZ4jyErWJ+AasFH07UsK7/QQEujK1ykwsvVwky2F8U6aHtCundjJ4a7hJoac1zaa3Bk6PdHdChUoKi555Kz9IPyASWjLOJ56cr/NB49+uJr0+N3AyPvYOLIFWYcfQ+YsRS51teJOAksm0HsnM0t745PpdKtY1mE0c9YZsjHDzkRLWV5drgL9BFuBZLbVtK6clpYYhnhlb41K/WAt8K7+Ubn/jASQZq+8zN3jF2W7b/9ZYvN8oyFGyacItbW5zaV9rlCp131O6ErOM1XShspDBSONCwmmgqFB3QJiABukZUQ7QBwoIeoR5gYoPmhnAihER2iWYL5eUasiIVTOdgqShwxHMlhRs5caofES6IHolfR6xTrJ+pVbDJMeQO00WGBW5nw2XaM1B4b2Y+oRANNlkS60Bro6VzAaeZrp6Zt4HaK/NWyGW1h56nW4iNahemcF4D3HOPHD7Qpd+ippKtg5cZK5lhUI7bTA0AwphASiZ1L2g0VAKpbTF2wrfIbjlx7gdysORxwZw6QoIdT3TSYdOIHO/4pIViItYlDmMlNOWHJwO5kAw8dB1lLGAUEzuaJqQpoc+kZUPNDp0FKFgqNw+VY4hEuw72tY5QLVfyO5bWUbEYfUK4xhjPIJnpVZngT8LiHUvnWIDbnOlK4f9tFvo9JhTC6QtjynStMS8BRSl9Rq/AXiphWUmH2RqiETYxkQZhHoT+CLOFuVX6bycW4znYAd0AMmNlYW+VWGCKYPaRsXRcl46nK2HJlpIdDAvUihp4eWexZ4N7BuZrjJ5xXFBdrZN2sLyvQKwkndCn9wwSubMn/rC5psweORk6+5nmBvL2mpfnhOpE658xO0Oeei4Xj9zdAhmZZuI5ILUhKDkPOI0MPHK0aU3Tf7UBt2aJ2TFIIPfC149Q/6vF5krpJvzumq4r7Ow32nnLVITPqnDevt6XF+gTLii7Tlied1hT+Xi/8OXkqEnZtQVIZGN49j28DuQXLggGK4Gpg2GJ2KjUY4+P19ggmI9n9OuCiYJJiS2Kt8rDZmK+9GgN3MtqRYyipNX3iTXK9qawLCM5B8z1AoX/P3v/2VxLlmZngs+7lYsjoK6MiBRFVlvP2Pz/3zJmbWRlZmTEFbgXwMER7r7l2x8cWeTQrFisqSK7Mollhm/AwXG1xfIl1jy9WfHzC3nz8QqnF6yuMkAFrFFuNgXp12eJB0McEudNop87fLS0ZJjDvKpURQhdJI97yjCS8oQ0waoSyhnQNRMpZGw1uOLJWgm10bfGbC219rSywcoTfhF8CxRfqRm4GIrZw/6EvH1ke1gYVOhE+PzYYWW1Ky7jglqlVWW5CtgEYRbiDmo2+KNnc61UmzBEklFMA6fPPN4YKBb/6CnaI6YAC6YkjIL4FyLO9aTdLdJHsBcMib2vpBx4yltkPNNcxBTg6wdKNpxkpncT3hecFea6xZTGlTzyeLuQWkc+vqHrjojJTHMgbUfEeMJJMKwK4Jyh6y4YE0EW1ittQA274gm58aiJkxGaMfjJrzFrzdCdewbOdNJAlKCFguGkW3xKSB9Jf39g/HPFHgU7LCysWWAfWuTxFEgXx01JXFolqtLLghFZA8hjYy+JoVlatLiY8alwYIAurfbQk6fLG2zp+a4Rr+ARKDD3mdNYGZ4PaBqg9IhN1LFRdxVz6ahxi4k9u9/9wnRxaxnKP4O/qfa9/3/x10bI/Lff99/i+/+1nYNXvOIVr3jFK/5X4l9j3+v+Px1DFbpkePr1AzfAjSl89UeaKKLCTXyP1yOWJ5L+hvPNxPHNE1epEI473OGKx80jKQs5Ovo+obtKvsnoRdktcLsIv2yF3BpE5e7yEZVC8icmv7At8H4Rfv4AfYL3B/jmAktQ4phhusNWxbeZZfFYowwhU4wyVsub6PjSFZatUN56bv50ZEiV0Vp+Lj+QRfHhAQxUU4g20qcBBBaf+XgSuuJR2XEIiWwr1lbm+R3VNuTuF2SzoUvCuz9dON4pyRrqcSBdrXlBv7tv/HlszNbQl57btwVrlfsvjhQDUpWtHmkhYI3hrkS+DHARhzm+od0dkS7RHTvaPqK9ofrfMNZ7fJoo3wMVg23wPs8cO89iDOGciH0gdYZ0PTE8Dvhz4NgUeZ9gU6h/HNnpTG8yU99zU5VdUSqGB93xzEDov1Ovd9RxIHy5p6QdrQ6M/IEN0GH41vW0rkAoyHklzATlzZw57hqHnbK7F/IW4pWgxx7bV+xYMF8GxmjZVMP844UQOgYzYP/8wLNpPHTKT2eIOE7Wc162eFtWS16KFGNYwmqj+kthX79XWlHyDO9zoWjlqJVrDNFuefJvGKfP5AYnGdjIM43ApDfI5h4ZemT7gTefLFpnLt13+rhQBuX4TpBP13ivbH46cfzDFWXx6xFffcdJY1g6Yn6DiuK7h9UOoqsNdF2zCmCZ40j1Bnmf8ceF0DK7TWQ+B2K1zJ2wmRbEVC5vDf7kERHy+4z/2sGlJ8ZbICIoPQG6A05mbmLkvhfmDmxf0dwjSdg9TxT5gNoB6e/Jt4U6CkbvsE8TZlpVLWUbqRbKp7e8txe2JvLFW0q+ojVP2f+C0nDAf+wMp6OyJOX27y3fT43nM2xzj7NXGDOylHtAMap8XBaexxueNzvy3S90D1d0Dzs6/ZlkLdE51AlXqbBLjU9Dv8YFqdLKDrObMfsTl4viksOnwDxvIUyY4cTvTgJ7R75znL4JYSlsUuZbNzJeVa5vMn/440e0Fby7kHbT2kCXOt59iEznjvsvO/rxmRYKuatw+GnNMmsLv8fQdOK5PZL6DW3TKLcR/fNPDD5x9+YbT4+B6nrkdsv7P3eUlvjWP7K0K4aWed8e+DQMpNZhLhs6d0JkJQiWJdA34UcD37tE3DTqB6X8oaefDT865fI2rdlMnyOH376nWou7f16tarUyxMjSdeRBSO8SkhWXlP0zxDaQg5B/WnBfPO7c0cc7rnb3iJm4P1Rq6KmmIy/XvJcHNjKhuqroqhHuh8DSFVQqb54as/dE51g8mH3BeMV/7ShdooaKbDqoBZMKbz41mrwB2bPJiWN3YXELb+eEHR0SDBIjNW5ILfDp7RNt2kPcoNeZt8vMfsn8qfxI04Yh8Xvzlaeu8uQN18ffMOqRTg587XvaS+KXpZLLhtR28LFilxl3ngBD2SbaLvL7ezhLx4PracMJF+1K6P+Fa2zCkt+DsYhX2H/G5oaf1nbAUkZSvKbJ2ip52w78Ym/AKsEn0vs3SMr4pwP5Y6ShtKjcfoFSd5zsD4TuK5uwcNclfn18R2uFzj+Srad0St4lPny2VIGv14p5/IHRV969+8LDw0BcBkra48YHNERSXxD7AVsEf3xkyR2db/z05sIvX/fEbOi6mZQczTXkzZlwDphiwcK7OQOVnzcVXW4wdc12c3HB1IrBcGHEGsNvuzMPeKIK3ZKJIZC9MI8T3RLw2eCWhYk92Xvcx0fa43tk2rLRRPMntJtpHxL12xvqcUtrBdEFYyLj7Zk2vaHVgfl3v3Jbb9jmEfPpF07WMVtP/UtjrFXSx0R96ODgGbq/KPbWVtncBqr2jO8Tu+PAcAr8+eo/0ZYbdLkjpf/vf3ed9LfLNP0L8NdOwvy1f/9XvOIVr3jFK/6WsfEBHwt2KuztBbEdZ7uGi7fmaXVtfLJBMH2jxBO0zO4ETS0tF9ALUhTXFKuRNlbUKnaylHkgUTiPER8rrinSIG1mWrXktKGpp9ZEbAsSHVUCx7Gn1NU21iZhmyKmNbRl0C1Ko0rBjhaTDRIdbZOo1tCePLk5wJFqQCVjXnKqWmhUaWiFkYoTGH2jXAm0Ql8WNrmSqjDpiDYFU2ilsT9nQhMu+0YsHSTLvhlOeX3Dvkb2WEz11LKjcgbJa9KJXcPZU7lilRM1FnFUV1HfaG7CSMUshpo66rS2G8lwxkyKmQ2LzZjcYZphNgbtG941ukvB9T3dxvMQQJ1SfUM3lUDBXSqLbdTekZzFzyNZE2dbUBVSW9vgSlegRcy8KjCMNqQ1MI44NEpQSsmorxAUJ/wjCeNpa3i8Qi47ajXQwNaMZEFng2glI0xqGFtBk2VumS4riMMTOJuJpMJSLVwtVCpLLRB7/n/eVK/yO2qBmj05e2YuGKP00ghZqFoRZlDBqBI0spUdFQ8YfFlfnuYuk65nNCZIQhMHpdEfG3HMa6PgoWFZ7SOuFjwjQoOaWFpDrMWbDbVGRAuuVoq1qBGgomFCjUMvA01mimvE7AheMa69WLHWEGsbhS4qmEYqCjSsZDYcKbuGGoN97ihDWz+nWEQU10CKJ6SGyYYk17S+gjsTUkFmi6in4JFiMLo2y0la83oGFkxLNCmMo2OaCykrtllC9QQV5hIpsubKzZOl0KGdpZaGDWutZXnqUb9gfOG47FiM0swJe7brs3Q1kY6WIgbEIBWW5mms1+MvW4eQZ+rcyKbH5gy5X7PPtqBqaakDm6kN0kUoFZo6qrpVUVOVJSrbOlNpFGnosKPNhhoFd5rxJRPGGdf1FBtRjZjNCUkGMzdabTSNK0lWO2qCegLGRg2whICUCrVQztD8hVoaZelhtFStzMlQQ8YVZVuFWV4C6gHVGSuwOEfZVqoXymHAlJUXOYjQLRWjyuQcpIq8NFyW0iFttQg3XVvZtCmSDZotSwugHlOgPIBNUKVxCee12a0OqF0z0KpaxEWKr2SAWUnqSGJIrtBCRUTJOLQZTJX1+V8MkpQ6O6BiVXGloK0iRTmXDkvByQljK9pnamgsydAVxVE49+s4QYQ2BfpY6MqFSxFcBdcc1izIOkpxso2oHnLAXc/UVJiiYyg9C41EZSeNi1lY7FosYAuIaRSboCr24piBpVlKMgyqSNOXgHaQWpHWuBrOFHXEJmzmtdU0Wiij4BbYRwd6RICT7DCiqColGzbnC61ALN16z0jF1UZsBtscNyi1ZaiZY25UyYgYbN0T+xlBGE4j0S5UUXyx1N1EFWW5WLQ1kEYTx2gsqo64WDTMUA1SenY1E8ikS8FIxluhq4ncXqy8l4b6SnNgFsPZVYzANbtVWSl1vdfYrGOMnVeaR5SzWLIYWoPqhOILxb1MhEYQsYxcUaxBTcFHJdUKmvFMlJaorVIMBCI9wuQF1YLSWGZPKAmnIOcdtimuXJisoRjWzKrNAEWQ1tieIik3sml0XSElT8mWnplmDcUp7dKxmETbzVhVRApq5392nfRKSv0V4r8lof4tVE6vxNYrXvGKV/z14X+myvUvn/06P/zrccNAmWba98zd+Mihv+Zr5xmP0GpPztc80pABuIF6+Mbt4nl77Pjcg5aMMKEMBCpBEo87MNHhHwI1vmHZzcTrB67+VPAKNggP7w+UaYde7tYsCD1xajP24injhm+3t/SPR2QpcA5cyTNo4aKKMT0iFZgwe4OJlnYUyr5Qs4NfLKkPLNYS456+P+Akg0LZZioNOQk7CoMIJhj+NAhIo08n9veBmHoudoeQoEY0KjdTxDjhj+8UvgwMS+BalHJpa+OcJHz1eBmI+Zq5ZdxfngMPzXrm9oZOHqjMPHlP9or0FbM54797ZO5Y8hY9OGSOcPsdewqYkyfuL3RxpJbA01DY7jPbUOkeDGbbk697ntqR2q2ZVeZDov/a6A+C9oV8HchD4PofRhZ35mTXDUfOFW2ZPCb8rLgYEQUnBTGR2gXiVabsCvV7QrxgvKwLddVVsfHSxCRqSOYd2gzEis9fVxvoxSEKi8JZ4SYa5lJ4jgtjbYhu2JZrvu8mahaYHfZ3J1qqlOdGkmscjaD/9QZCSNPa3JTzlqc+sQnKddeQA0ABPVHpEDIjZ3bmP9CwWE3soiX3jaM/c3pzgguEb54UPKZUhm+R+vcTJoP8rPg+Ypwy1MTO/Yhq45w+MUkE6fF+R2sFo5kuJWo/8I/xPN0ZWkAerihvK81W5NjxfpcRqcxHi9o1u8kfhS5FMJXTBFSwFLZ8Y74JVN/hnwfyvpD7yukSEIUugxa4iglThU/mHYxfsf6IP0M77tHLSFWzXjBVbIwoHc45NhJpWphpbLeCMqEokj370tMXw6Eu1GvQ0XB4cKTtDtN3cHlAhzNtVPK3j2ifoC98Pd4AB0Sf6R8GuJnJ78/k1K1Nji/n50LHgY5BTivZB/QcmaaRNG0Zhgu1bsj1Ct4fkLNDHkfK+EwscH5e74cFz5GOgQs5FS7PjZt2ZjGGAwbT39KykFOBr2fsGOmuItb/SMsgywnuHjGLw1dHnBdUG4JQ6o56AT2D/CaSezjagVAOsBjipVFuHqnGU45vUC8UDM/Fo11isJn3svDH+o5GwCNYPdJs4ckPxKtMqwH9eYdvE2or34Lw22PF0oghYE4z5uWWKmWgNcOCoSMhmtFZsWeL5J5Tu2KLwSZFP/lVleITczgyXe4wdaDvIcUOVUPfn8mbwkVAJuWgnsVa7OYETkCFOazNjSiEDBwtqsKcO4IoPkM3zWt2EYajbBj1guUJ5wxshTwanqfALmZCzny9E3Y50i8Jfd6zNQvXZqLMPaaEtUWxP9BebpavvsKyweYt4advLCfLcgjczRtySyQiV26i9ZFzd0GeerAKAYrN2GLxS+AZIReHJNgA1UF6EWJKbbgcefP+G3N2HI6et8fEKSinUTG3wnisvD01DEeeNfCZa/rwRK1KWhwfvh+IdJz1mvZFcK7gu8qkga0E3knl2SQuZL5XGNwZX7ZIfkce/oQvwtX9Fd/2a+h9N3n0xyOlCofP4R8t8oiyC0JrnsNhpG2/UdWg5T0/cI+rkcdHkC4RLHQxM2kPFcYDXH4oFLeWZTx20Inj9+WWe3tkNgmAJNeoNXTdPYaVCH3k5V4QWEJH9JHqC8aDRDA4duYd2T0hdmE8wnNKVFW28sBcISaoVdjoiUHOFN//Y4bbPI0MMtHLhdP9bxH9Dhx57vv1nxpDudmhs8FeGrf3T5xtZe6g7xP5JZbgiiOlTytJfP8D55sT7fbI/hmqnamh/rPrpFf73t8AXq13r3jFK17xvyf+V5BS/zM++68R/xr73v8x/j2uPWPaMw+tkkJHDR0f5omlBS7a8UxPbyyjFR7GX+ljYzMblnG1v4lCiTc0dTQxhOuf2eTGZrL8qr+ljBfk6p6fvkIRx8k73pREFMuT7eCHRD9X9t8qT+UDQQrX5pnWGme75Zt/w6j3GM00QFmD10XWEF3tG/W6YB4cY1XuTEX1lrnCQ54QaXStcp0zX/5OiSXQft6x6WY6YMw9382Gaiq9f6C7gtrBMVQ+/qz4uTFR2e1X5uX5qGzUUnXgKz/wTj5huokv78E+ByS+VMe7upa1N4hpQ6keUUMIZ7yJhGUh9YHqzBo4PUc0W878yI7vWIkc/Ds2+RFrCsePvyGcj4Q2cfUh0j8ocoF7CWxaJdjG8UNlypCqoL3SHT3uYlERkttSrMeEe1y02OTQZQsugctgCpVr0JHfLE8c3hieryB8mtmTGUzhT5vGzSzczIYvtkNyxpYM+5UU6ZLQdRtOIjwjLBcDm4jZRD4+QBTH2QWq37DRmZ2e+WQqLe2x8Ybf2M+cdcM3vaPf3FPsQjIZCRZZBuS4pevOtGZJqUPErAHeOPr+EWtWRcdiFpof0O6O998CoVywfOXzzuIr3E5wzzVpA/p+Qc1CKI3dAvO5Q+tK2qgHGxphm3g+KRpHwuUDbjiAJLRVGpamgZz3hPCE00pYHCfZrGogCnseMKYy+5H8caF1FSYYTh5pA/P2LcP3X5Elc5Yb+jBjbaFakPZfLIHqhCaeVG/R228Yc2H7J+XKGMQJfxwrP0w3DDXwOczctoWeyuQ9h75SRfjp8YZnt3AxhWWycBdx+8a7/gPzw5l6nrnNicdbuHSw+1VJm3fkboufPpN3ido1uoceVyq2FHxrpM6Tg6MVi/gItjI//YZeDnRyIHcjannpkYeSN5TS0/dPlA3UjfCDVJYLXC5C2o0Ml8p4KkROVOepoWNzM1PPjXpQvFF6cYziSbrlqJZHNYgUnMt0YSFcFqqzlBDwJZPqyFyvscywE9qdRT8n9n7h3fXE13MgOiGPyvAkbGLgqoz8+bfPJFfQ0uieA+pWe1X33aNxJKY7DI+MRN4TuR86igFpypsaKFW4L4r77czQN94A058LebZk2XH+D2dKAL30dIeGSQHyLfv2K5jEqev+MVgdQFWo1RJjT9fNSJ+Iu4jpVwtbOwOHDWShbY70LWDVrA168XoNxu8fAVlDpUUpNwF1Qnc/0zC4ILz/yfL4ULmclXgJwIBIQMTDh2+wP69B8kahCO0/DQRfca69NOIpXhsfc+IprOM/FYpJVFfQ94FwMLhnQ0VoQ6L5Rvl2S2cLPiQu+xkXHWFxvEsLS7tl4oq6+ULqAtl2yNdM0zV3yl0d0HGD9ju6+wuia0vo27RQmpJU2MlveO4d3wfg8RFnCyE0zDKiJkOIbK4iblHcszC3RpQts7kh//QZYxXbHHy7xYfEcHXk2CvuqIyfGqc3UPOOeny/kjmmIKJ0t5kaN8zfP9De/AE7JoZRKJ861IF506j3hjpb8hQIY8SYlf2J2936fD01dPsAQ0GuPPJLhysd42bLKU80GwlXZ97cN5SOL28+Ek6PYKG8u8J+PWKWNey+K5HWDM9tT6OuOWK9MsdAqWveUggJ6TLpZobvb5DF03UHUloJza6b0esRa4Wbz99Y6kjUnlmu2PENbyYuXVjtlbraK9NwDV3P3XVleTiRjpkp3eD9BWdm7LRwdfMWvxv5U/+F8T7THRvzMLArI10LfBvP672rim2Vq1LoW+O+9yybK0o/YuRPtNrQIgzPI2u4V1tzsnS1WP+7bN97xf98vG4mXvGKV7ziFfA6H/x7wKwLXV/wHcgDaKjUbeI891iUkcgRR8WQjEX6HbXBvAjWLmsVfbMUragamggyCJnApfUYN2NMpClE5zAtsKk9cwlk2xBXqa6Sg+UyjLS5UmrlXAzioJiKk5lSB0wzeCbcVYMKelaWsscobGwkpUZpwkk6upbANMLQiBRyUWI1bE5rM93Jr/kbqoIpDdGEa4UuVtLUk4ugpTJVg1MhIai9IFKpYolGqFLJ9pkpWUQ7siwviSZQX16+GrPe10YKziu1h5YMrXh6ncnZU+tqfWkC+IrmtU7biOA0r64uI3SXM31e6FrGnRqLQnLCnBxGlYrSLo6+VHyDcxwoMdCage5MMwXEIhX60uhq4WwzmLoSfGooDbQqtSXM0hNsBzqTPDQHzBtKriy6qlkqnqKOlhuSK75WyuiBgm+RHAOmBmzsyGYiq6PWQNaeZCpRLLV4MAF6xyUO4Dqug2MOW7R1mFTo2xEthWozxWaaWpQOHS9I9bD01KGh2jDRUtoe9R2mdyS/3n/argn5iBjDeRioRTGtYA6Z3vaIUYqvlK5hkzIsMG22VNeoqWGqYpuyk4mSF1QKCsSNo6li6kytAWgYV2jNrSTMbiHNbbXLSWXTFM3CHA25c4gKJs0Uu1o5NSsNwYjBNLBlbRhzItSoZGCWSDgbLD1JLRcFVxvXacL3iSZQqiEXME1J3jDk1RN2aSA10LfAjGGTCv2loumClkoVwyyWHC2tCWk7U22EajGl0M+KZojZoq7RvOLOSi2BwgBXJ0Kq+EVxnGgmkqxQiocCSIMhoSQsljr2eCLjlLAooqCjILViW8FL4jJ0FO3Q2lFjpEojbxWSwzmhhEqcC9TCpinztUJraBaKs1Qv5H4llFopuLyQZUEwuCXgNh6nhXpZra8Vh06BoayqwZP6Vf2RhJo7hqWs9iFrsKbR+oRsTnCuWNPwm0rwDapQJ5hdj0pjKGe8LXQ0zGltXUzWkir4Z8V0jYVIbRukOnw94qSiOErdsVZCVtidsZPFKDiXMUaxFboLzJ1SLbhiVrsaypgruqlUJ2gJjCUhLbOUAH0EW1ZhYTJIsTRjsLXDZsf5YKjLjGkFa9frrdKweaZl0MnjWqUNCk652hV8XdVlz36DaZFWM2djyWqQ+tJYKFAsWKv4DrpROJ0HQu2wBp7Vk1ujVcH3HlNXjVg0jtQbcjAUrZSiaALHQicdxvRMG4PVSjjN9BrJVokOYlm/Q2wW5xKqiSFV6ghd8wxVmExdrdSlwrQ+b3GrlHktkBjaxOakiG0ghUU8vlW6qeAjSJS17KIKKhX6Z+pgUGvAJnwRqimU22eaVFxUhiwcWBtdeyxLA9ManSxUXYP0a3Vsp0ytjYt2mObwuTGeMpfmQAqqMxS3KliTYHS1gZu8WlBtaYTTRMqeogL+jKQBrQ7FIWOBUKne0siYnNlnITZLzZ7hMkFeVkkmYEyjNSilx8bVItnqjhwq2UbIE75Zgul53hVEVpK9XoSaG9oqM0JJQjOCDZUwVkKouKDreJ8SWvxq07WNUgZSULALdTYoFjEGdkfiAiSD6SqmKTqBOIcUh+ZAkYDViGmJsVaiWhb++aDzfxEp9bqw/feB1+vwile84hWvgH+bOeCfsum9zi//djj6E+NVYdyDOQgMjXxb+fb9llsmbswZoz3ZFXInMN5Sq6VNwt79gabmhZRagILgka2waM8zN/TuAWcjCTg6xz533OYN/1lBNRI4UauQbc9le0vfHkgRDnXD4CJGGqEdWMo7XBOcHhj3Zs0feVIussMXy9tp4Wt4ZmmOY7zilk+4vhKueyYKJa2bsfcPkEzltD1StqDVItlgiIRa2cXM56c90QTo4Cl7wCLGopIwptGHQASqaWj4ymO9Q9S/LNbXeviUPH235gKh4F2ieahvoXwZsYtlsIZjDeQSaLrAxoCtSJ7JTmjW4TkDgjbD8PiFrTF0ItQvyvONct5a2mcLHSRr0LNwlROhKOe2oxDAAuMB8RkxlnAKbHNmrJlLN6MvdVkqCrXQcmLSCY4jw2nD0j9z7qEMBv15x2wTxa+tTZmOTICpYJgQ05DdBuSMb4kuWWwacacdl/4rKXty7hHpyC5zcgGWgO0H3NbzLW648p63e+GP3Z52AnNQtnqmusoSFmab0NYjMsDNV1hGJF5TdgVbGiZZzPIGDRbpClM40lpHTu/4YZlIvefb/pZ+esSliH+I3Jpr0mj49jaRh2esVnYnOO9HqircJxwwtMadfONclKJKQ5nuNlRj6NKZFG9oKNIdIIF0FT48Mz00TDQMGfZJkAz15EkfHGoa/tMj0WWqMZDXZit9sSv5UuhqZTSGuSlQUSZCdFg6jmZkptC1zO/mBX0/E/tMerrhxMzSlNyEt9Hgq/CfsbypHRssBwtX88xuXniuj2gIqPOcfCBdOhqGy08L3XkmXBI2RsYkWCy/4Eg7xW6UcImUOpBlj9w8MXxX+hk6HnkKcOgEDt26WTYFbi94ozipxP0tm0Ph6mm1CukNcC2Eb5GQM04K89UNbR6R48A8z9Qe8jbDISB9QbeZS13wqbLXTHpnkNnCg6d2HbnL5E0m24BbGv50IvsJo5ZwHth+fIdcGpdPSvpdpi4OuR/ZMzPT+IKlPzhs85Q4MMoDapXSAr6bKWNCriZC63BekTdCZwWdhDorj2NHVzLv4gQIZgG9hxgcs/PECjffFfWVeVeo6S1SlI5f6MRSdCTl67Wpz81we1hzwarSdREAV4S7yfB1p0SEMHvUR8RV9kfh+K6StgbmjjfLEZcaf85vYLdAl9BZ6RfB1tVG6uqIpIEvnwohJKwthFBIY6E5xR9PpMnRph6vkXxbMJvK+5tlJdwWz2PYQ3qm1cyTX5tc/7JVFBGMvNimO2GrlqfDluvouGqWEwu1VKo2roKjxUqVypN3lCtL2SmcMnp0yKmyYaKTDm9H4t7SP0Y232f6TjgGOPfCIfeUGMg1UNyJUBO7JZM/7hnmns0xMHcHTIl0KWGzMO3g+Rb6B08fK0N7ZHsQLIIIfB8cJhr8M/Q0svMsocNFBZeJ4z1le4d4g/GF+DmgoSAf7uFrxV6gn5S6yxgJbJeBpBEnhRuT+C4dixpyHviYH6g4zoz44tmUxttD4j5Uok2klNB8g+SA0YCpEUPBn5/We6Q1bj6d+So/kl2g2QeSuUZaj1CQ64QZKyJ7MCf8kvlYLb+UN5RiuFqegRNNhBM9zidac8TlBjkfUdOYuWPefCN3M/2x0eUN3nXk2+84cdhskQswL9RSOBw7QmhY1wj9wnid6IeCiYbjYWI6Fli2VL+gvpCWHVw9ETcX4vEOYUCcQXaPXMQyY9nsFvIhw7ESekcue7TuyL0Az1gSu5wpakn6XxqG/yn8i+x7r2TIvw/8j7TvvV6rV7ziFa94Bfz354P/dgnwOl/80/jX2Pe23f9JkEe8HHjOt5iu4LvMh8uG8x6erxs/uhPnw8DhYUu2I9ebC3fbI9PXiVgHkuzobx/IxRAXz9s2s4jjKAGRhtsV/E0mfurYRLjLlS+1/mNzzjb8lnkfeHoP3S/3tMWS4pZRIgMLO3Pm2296kjTqMq8ZO9kSYmD5qGAbJim7zxWJSlbzEkoN1gherrE0jJ559oFshGKUdx8z2oSHL4Gbmz2o8vz4TMWuqn4ABA1KepfxDwY3NfwcKX1Ps6sVJl+ttfXh2SJN0BZYlne83894ozweB9BCswvz9RfeHA0eePytsvki2Ivh3K2qDKuNsx8QAVVDjBt2WAZpjN1XSr8jOc/39J1xAZcMD3XPBxvZuMqf3uwQvSA14c4jOQ1QOz4YIYsjixD91zUXpMF5CfSyIbiO08c/0RZFo8V3P8LFwNQIw3cwDTXKbBJDU/oKiZ6U/mLBOiCsIczxfYGgiFO0brFLwc2Zq907ymEifXsmDePq+zSN+D5jZ4c/et7PC9FZTt7TpwVXFdvguXOktiHXG/ZUMoZJDWH8/BI4bsEVmq/kkAnnkWYaqUuIb9jk8JceRyHbyuwLQw7Yttr06vtKNZ4aRz48HqAqJ+uZ3laaaUhsdOcOHNSrRvt8jSkQwpFmDYggVbmOPSrKoVtYXKGZitqC9O/pvPA2fOfw+QN5sVj3wFgTTSqPfePH4RpTB375tkFuv2DcsjZjvYSsGGBJnmJBf7jQ3e8xs0P7heuc8FWZ1bN3AwThH66eCJPFRMu8BH40O0Zj+dU/UHyi+oreGkysmKiEU8d18XTN8iWktYAMZe4vXM1XjEtPbF+J8pZit/Sbn6k7IMAPPyvf2y0nO/LjT584Hm6YTzt+f/NnvtcrHsuOrjywL8qo8PNvJsbnDdvDSGcPHMfCqWv05x4VUGvw4QPb5ZnNdOA/mzeIKTifyD9OBFG6rKRvPbxYz4ZLpBpD8oGp3mBNJtjLOkZuC/mmoH96h3tp4lv2C9YOdOYaThfIBVpluooMEW4fDd90INGjZqTvn5AWIF1ju3sGjVzXws9jQRX2i3AYhU7hYxSaE9poKW86Dl8FMxe2y8xl7Mi9kncZ9xQIUbiOmefgmF1jDpHfXALihc8/FOTXa7QI9eZImDoQSPuC6d9iiuC/PSBAq56a3tCZT1g7wQBDF1DveBh6auzwrfGxf8B+aZTZcB96xrrQ2crmrSBPgTz1/Mxb2H9DwoQ/dQjtZTy6Rvu2ZjSdCz5EOpd5T+RgHJPYNUevgW1wmytHZ5kFxmUhek92HctyxZ3AxjZ+fhe5OU1cLRHz1vK0fjTDfWPRO5LZMWzvyV2khLJats87zHnD78M95DVY/LFz5L5RBxhv36OHmfZwRgRsHfF1ZK+NpZ05tRN17FcbOMp8kzBeMM5gv7q1i0Lhvd1xKvC1VIawoCVQ8oahe2JsiV2p/CK/p2iDdqb/faMujnjvudGvlKvC6QchfOnZROW2JO7tOgdh4Z27IbiKdAe+PAukxrYUTi4QusCbbc+X40QqbbVrxj3VFsr4wFACGwm8dRvy9MhUHfe8pzXFUhhYSINSu0zbH5Fe8MWwfXDEa0Vrxf2aOI+WZi1d6vBlhq4x/dZR/7zBX3p+YIvVbxQz8xgsu5RwrXEGLtdQvCWcBkJe57/SFZba0VTo/US7DRAM8jAjCrYpmyly6JXUCzfvLJfU0KT87mCQqlSFex9Y0hbNng96z8U7FmdRNatKDWGZPuLcGWdP+HTGvhHcznLzS+D7pvI8Vn43K6cUOBXHFGZCtYRqMarE3JFKRym//nfXSf9b2ff+dyJq/taP7xWveMUrXvE/htf54P951CYkApUR2WYMDalCuVKsbWymgjF1fdF05XB6okrhPFuKuJXoaJbrpIg2kmlMPWSpNE3YZNFsaBe3Nr11ymEL+WmDcY1uzJQ5UXXdEA7VU1VoLhJqBJ+5jEqlo0mhdQu6WLzrGM2Gmk5kNeTkWErG0sA1qjgavEQmN6ooIoYia3OXz4F5PtJMo4yF2SxosaS2w9oZ+9KgFveC6YUbHNFXWt9ITWmbirp17aZhbSusPhOMQMu4MhHdQhHB6hajhdaEeQoUGoiQzwPRT/ix4JPQ2gBq2LfCtG0U09gvC2ws0SsmWWIx5Aaow/iKtYqQyLWxIJhcsVUxVai1Q4cK9sK8WLQ5mhpK6TE2g6x5I2oUTORq2jHlxJIb1YORjHGr/UdUkAq72tBmiNVRZYNtiueyZnS8PM/dqVJCR/YDVis+Vrol05goSSl2ZNsS2RiirjZJl5UxN7KFKhWjlaa6tiyZ1b5IU2zLqCt4dVxph02NRiaT19Y8VXxtGK3QlPXrG0SUtlnwF/BlzRgrvLS1tQDxjLPK2Cq5h1bXAF6tBa2rRUnb2gbmJ6G1hKjS1YptjSrCbC3LEOGF8KMYLMpGBRkiVgU5KTUsVGOxGfKgNGeg21GiYtOCcwaTCqYJ1m/J9kJrDS5htbCp4tLMoBkrlVn+SzPg1Bm6vCo8XBZEBUSwtjGHSglC6x01WsiNq8uZySrFQV8bjcbyYjkVWYu0fPFrS6ErRC8kjagaxjKwLJVcK0e1CJltuxBOAVsUtZFzs2ixDNmw1YIVyEa40jUTLtuCoLgCWxGSrBkvVKHVhdoKGcWSCRTGWjjMBtMqJkPdjEiqmCWyaEdtllIdmxzXZ1s9m23BikEvFtUCTSk54OeAcRZcxi2RWoUkPZspYbNhZljHRquIPzG2tSxhcTOp+ZXMMIrNFdsMQw60nBDg0iw19TSvNDI6KlWFyzxQ6mrN2lpwfUOcZR4HIhmachWFJkqx0HS1SIlZXXuGijRHf95RW8W0isuZau36PNsFVaGJpQyVTWqglXa9KopaVFITwFKMoVahqMU0y2UaMa1QjdIKa0uotNV+azJCo28XJK8tf8kaUEctazNodkq1FWaLqQHTDFHOVBQV89JGaUAabpiRBFKVq3Ohz2sWnHGFtnSUxTNypkojAbkaTHT0BbCJmjJoxFglt1VcOLbGkguRhnm84OaMNOXIblX3lorbRUhCiVuQiqqlqqNJxNfGGBtRHc1DCXC8eJbKajv1gGmIy9QXQePSGoUFQ2OURI0GrZkWCjH22FTYHyM5K63BopbSN6oBKri8oE2ZjEFtRzPKJScSgSaew+xJeaS2imql9Akjiatcydu6NtvGQmgNIVP9Cel6bGtsTpU4OqoP6GWDMFNVySpUk1EUazwWEGNp1wPl0aNVaVXR0NC2kLygNVIoRAHbdfgG7jhhq6WJhdaR27oGQBpW6to6C2iuaAOWDoujKS9jTME2JZ1GfJmxJTOrgbY+K7UK6jLNFnIWGh5Rj7+aKHhK9dg0MzATamaqI0oB23jOFhMre9OI1ZKtUl1B+oqdDD6a9XxJWcfffwb/IlLqdWH77wP/tTpqrXV9vS6veMUrXvGKfzle54//NahUCh0Yw+buHp0tOgWO7xrbp8i77wuLNvKtoX4I9PkTy1PH8XGk7ysVT22GcBKqFTQIT++EVho6NfpsqHH9QWHaG57vHJzfsR0z/YcTj59OJMmQMrv8I1kLJRzplpnYKY93BpY9mIh0ZwiBwMiNuSE9RjQKNY2c24Jzha77L206IhApL1aoVaZvq8XHLQ/PJ+pQMVfK4/IMcUDyjysZQ6ZPiWVncH3g/WXL5/7AJWSSEcxNRUJDUTReQRXyeE/vBVsrLT5y9BFRz54bPJVWFS4bli4jGPTLLZe3FTcUrn5NnOUOkZ6/y9+Im0rpKx8eIl9uhNMoxF8DaWrUBsPQYTcJQkGYuVwCS7L4KTGmhi2Ge3bI7ROyP/Hw0Agp4HJHijd4LlibEDPQ7Bm1kfeHd9zXiUUXMBFLxPnVGvQXpc7dAocWeGLAyhUbnhh54syAqiAI+we4uA3Z3xL0C0NpbDKcnh5Y3BXR3/IhfWJySjQePSohVa6y8rXvsKbQmcQlDOhqWEKQtUGRI8kntm3kJne0Ulg0c2oNdRaXwZ4gb8BgCCVAgdpX0j7x9gR9AiuWLz0s6shpR39IjKFy0yV+uVZKhvD0EjKeLe0wwpDxtXF9hCRHhEbIEESI1jIZy2G3tgN2xx7mntAa70yFdqI1iJ8VfvsEzsCXwHQjtCFg+cDlT3/GzjO+T4QpY4xH765YwkSuBZ5GhIABwiGwzwtOlFk6VIRqGtN1IjxFuij4aVi3haJ0feG4maiDx4wD+qXHn+Hd+cLXO5h6uM6JZw8Xt1K5fyn36kqgvajLliuhxRMmXRhPP1DrTDSRry1wy8wtZ+zjFc5nnF94io6QYFcKN5J59pZn7/hY4SSZY4AZz1URbmLh17BmDYFS4oFY8ko0holthasM04NDiq4ZY//nHrksyJI4s0WbQZLyXr4ztY7HtOPdrpEj1AcBcyE3T0o9V2UPdqb4J/oYidpzZuBtOhHp+C53IAlxFxie2F8MhcLsK2XZUo2hhkpYMoN6BrNjuzwzWeXeB2K8puUEyz3d3qA2cD7s6JnY0HhfBR0qk3X8ub9Gz/cMU+Hds/C9dywCOhWcXTBqkHmthjPV0U13xOUeZcLlhJoOTCH4xzWrKXjSRimnimsV3hV0UurZckhhVVZZIc0O6SEZQ3p8gw+PiMtQEuhKQKe8o/NHvJnZ8IjJglbDqe+IacfSPI82kYdE6yp2sdjaIzXw2KeXJxiWLryMyY1u/4geIV3g3VFQDy0IGaXNI+a4ZSsTUStnMkkc20XYJAtkoi+UMJNCYxbPjOPjshBi46yKyAO9EUZxPOk1S1sQTny4PlMvV8T8ho6v1BooZUDskfFSefsIn3sog5L3yveDRfNfRiAwJmFfGukycKZROTFSeS8znw8dzTUYE5f8kd2cefMp8b2DJMKDd6TdSphqEuq3J6panlKAzUhphgsJyvoC4jJbYECowIJefafTzPtHw68fCwtKPcOt1lWV2X/FvHlPyIbry8J5v6Wohy8jpC80k8hlFQUqgoQO15QmgXS3I589moGUkOEehjOxP3JKuv7NkijXezyOu9OCjx5yR0tbks6oSfSAs+u8oQL2XFBVlrwDBpoxXLwhsOBi4/x8wxsagxQeeo+uta7rvDNcUFc5nQYkjZjiCHdHCj21BML8xDZlhtJ4kFs8Z0pbeKiW9xfD21n4tfPEAUqv2L3BJ0uXDFZWFS2h/bPrpP+t2vf+lpRSf0vH8opXvOIVr3jFv3f8a+x7/+8w8qg7HhkZNo/UsqWUPfJO8fGEX47MNwtt2tLOV9AuDNvIuM0cvv7Ipl7Y64FT54itI9WeH/+jMl0cj/eBzn9Hd4F8s4M/uLXVzCrBPGBNwdhGq2uekRqo4RabAv3FUPxXCoHYruHDF0wr+KMhbhPSC26wvPtDIZnA/Zs93cOElIYILItDROn7laCqrpI2ie7coTGQ4oAfzhhbwUCKbxEFbw/c5IK3guwD7QKlKRdfKDSqr8TrRDiuddjpOhEOA36BTZx5Zr9mO40H5E5APfznW4z0axhx+M5Vdkh1fFYP1uBN4Y2553BlWYzFfRmxY6az8ON0xbfuwrlbYJfgFNDaUX58g388YKeJCmSbadLoU/9i94KKpTML1memj4bt/RXh2PP5/Xf0eUDmwPDjke5Q8ZPw/He38Jywz5k3OfGsI0d6+v7MVS3sW0GulO9hx6PdsP3lG2O3p+93fM/fyWVDbVt2v32gXhr1aPgQ75jthYt95h2JizieCHit5M1A3I60Xxduq/BODP9wNyG20Wnj6ntkGpXDNfwYNxgjNKd8cUozDWcqv1l64qI8XDLhx0y+9Myfr+A/fMdmxT040t0a/K3F8qPJlHnD4+M7zG8/IbXB98D4ZoEK+Rgo8pJl14SrG0/Klm9fHMMw0WlmjJGD/ICn8QNf+N51zOqZ0gBvnjDS6C89ra2kjqOBA9c8V9OOr799JG4SooJ7cEi0gCWHiVYtHD7Q+QNeIkMuHG4a0SvMwpuLYVOEzjiWllhC5fF3FvnyFs4jxQrb8hWnC8/mIzt9xLmJpzuBXrAq3H6GZw+LcYTLR8yVwYXC2/ufefognLeG8CkwpLxmWYkwv4N8BVeL8u1pw+HssZtnNO4hj3TdM4aGR3kfM8/Ori1rsLZtKdwtF5zcgrnmW/9lpYpffLJtV2ibSv7THXLTwa1H/6Eg2hBfaW/uCYshXBwVIBToMzdbz+XY8/x9g1NPU6EKbLoH6DM6VMwUkFgwSyIPA6Y2bCpcfrK4ZWR43NPpA9kqkzdsl4lqLFMYWJY1L2k0B+JvLSUGypeBWy54QMThP0SiKI8XuDsrpQ48yh0hnLA0fDFEs0f6THf7jfzkoQjWQLy5o/WV2n3Hfzb0F+V2SXz9yZCswT04yt06vvtvfqVGFEQtNk60rrD8ZPjwRQgTnFrj9BtD8Qb3zdGuM0089ctH7vI9joVjH5DU403H7dsth8sjpcy8C5USK6nCowykYqiicDPTLRaXDaJKztc09fjugbW5TxBplLeZti30Z+DU0aaOmG+5ZWawC79+mHEXwS1rZetf2s+iHblOwqYoj+OExILkRus9a2eesI0zqquC5sh7NBgIysgBYxIihZZ7dsWzKY4v3ULZF+q2Ef94TVcrAwXd1lVNGhvzuGYy7WtD/o8d06Vy+h6pIqgBjPA+f+RcLA9F+VE+4SQBlajKdAXn99Dqju5Y2H698CRXVOlAOjp/guZpZc8P/Eq2lYP3XJWFNoxMd+/g+3e0FJoIiCFUw9XieegSsS/kXYKvd4y58YEDp981bFWufoUvY2DWjjzvGcIzYjJV4LY6UOFkKtULpXak6Y4f7a9ImPn1Gj52HkmeXz+NbPSAl4xzlmP7gaaWjfkztX+LWgf6naZQmyUuG7o+IgLlssOFM94sbJbC5B3ZGkTgrmSsqfz87oXZBlQsxgrSDP7ekfuEmMLtd0vyhmw8U7pGPhxhf4EI7uwIU+D98p6lPRA5Me88dt8woZHuPWaN4CNjKG2gto6WDb2/EPy8zo91R2kj3XBPjSO19MjHX2l5DcnP3/J/d5301880/Qvw10jevJJPr3jFK17xilf8daMxoKsvgSIVJGHMQlksNle0NOqyJyShz2eeN4VmGq0IxkSUQoaXtiEwFOZaSLbArmL9Ko+3c6I0h7qMjBGJmeYqpX9RZQAGoUSBWmkmkdxqebM1Ui4GrYEaHRhPa0I2hlZPYBvSNVoYVntLndE+41TZlMZ5Z2lWMNlSy4AYg9/Pa+NUU/oFtCUqhtYC0lZr29KULlc8jW4saLbUtm4KWwqYaumnjmYShMqgayth07WRMDBgrKVuLrhYsGroZKRtE4VImBLF2XWD1sBWxaqujWa2kT0cbpScVoKk9IqdFVsq7nhG5gix4oFiPWKEsVQWOqqx7PYzOTVSY21taxUjmd1SyTnRWmOcC80rcW9Il9VG5yzM3YaaDLZUSjHMzSPqMDVRi+I0g1OEjCkzoIgUjImUqNQEtSiLWVhCYengmJTsK+IzXfGIUWrMDM3gRLnYgtTV+tYQkjFUVUwSYhxxoogt9KYRTSMZ4dgrUupq3amrHaztFtxLmLgAY1QqQqqG6Cy1gdpI8yvhwT4Ro4EiaINNW9smL8aS46pMk2AYteFbpaDUbt1EXooj9Y2qFVsLZIu3sPGFudiVJMEw5IpFOY0GZMRmBzmiaYRiMMywBavKVida86vFU86YJeDz2qSXx8RMJUWITkmd0Ixitg0xhXBIYJWGZ2wBHR0pOLT2mCVjtK7nFPCqbEhko6itnBiIi0OMYdvP1E5ZqqCnPTlF2lQ4XwwaA13zFF7cEdpW61VrSGtcrGB4efbYgsk0yVRGsgSqCLkJLTSaX0ljFYVo2aulxUw5RfI/kgOKyo7iM9ol/AQURYslT4qkwmBmGhX1QGgkLXithKUwO4M3jS5ADB2aymoPtZnSVeLmpQlMGmIEu93QqlCLgbBgaqYvwuXiqdWuDXRAVkttPX0E4wq5TyzLGhJuSIhURBVFsHlGpZInh7bVolga2Msazu67wiwj2cOUK5oFkx0mbTDLao8FGF5qPWejsFPEQylKxKACRpV+ahQvRDzVdCAW2yK5qyDKtnqiKCoJXU5oLYiCy0pUIWNeWlIz2MbUbVBNFFOxyYJdfx+guQLSCDPUs9BKQOtqnVVbaO7CUhRVi0mC1JXEKtljbUNMQ2kkAWOUSGFczdpc7Eqi+saa21Y9EGhjRMRgVLCl0kZP7QfGg0MFZtdwtaI1oM0zstDR6Gicm6E2sxKbCrn3TN6yawWtlth264HVBhSmqzMlWdxFoOo6T1kluh6l0p8z2mWsrk2cVgW1SusKW01k3zjtJtpzpTXIxRIHwXrDMDsmFZoIitK6TEaYQ6X2a06dy8LATEejaKa7GNTC8w20KJimGJPIQ8WIYhdLaY3mIO4Kdrb4qowilF4oHahRUmRVG24X/FRxTYj0tGFe1b8L0FaFU84O2VrUGaRLSK5IAWxer5+BZVNoajCsVri52fX6pEZthiYGcx2QlDCpIjTGoDirBApZAs2AtRmyIpND44Ckijbh3ATVhkpFS0BnaHWdi7Nf8w5tAtMqqhnjoLrMYirkAVRxEpGy5kxKZ2jZ0WXBpX9j+96/d/ytEzh/68f3ile84hWveMXfIk56SwRUGsklvKn4kinLiOQFlzMm/chWTtzaB863So2e5ehx9ki1cJKAdw5vGmImHvKCdmA2ghPQU4VvhVItsp2R90/wKdD6Rr7LCLIuZRXkHxStidw9k+yMMYmOSnkcqWppYiAFWCw0Q27TmhdlCyXcYjVj2ozsIl1u3DwJ571B1RDuPSntsX1m9+6B5wQyw3CE2h1I9MR4Q+NMaZnTbHAt0vnG7Vb49ixkBTKUFPClZ38KHK6+0MZCv8CmVmwRYunY1Ru8hXrzZ/zDCR87Ov0dv958YQoXNveVqZfVRnEANzuCWOgyeUgsA3zZJ8J9QyLUziBWcLWy+3RP0kbVdd1l5Rqh40q+kdkSXc/N7Ymvp8ZxAg4KdaG6wrtHYWoLUZX9d8PTB+G4F9r/pahb/8/3uze48wl3vjBPnoTnaCx9PEGqOC4U39HKAtMZ+h5jFgwL7XHdyORieRoOlKGRto0vzw0/Nrqdcn3pmeZCfY68l4HJFB5dws2rraTB2sxXwR+FY9zhW6NjYUtdQ2pF+Pb3R3am8CZVni9KDhHuIu6hx1QLqlw9K0WEozFMBKARwiNRKuoVbgvLf95gizD0haviiXieXM/58riSFUPH1VwwtfIk0MZKFeFh8eg2IlrpMpAMvYPbMXE/CbGsG559qTQn/Omq0uuWMFf08Ykoe0DodEKCEKTy0TzyVN6xmIHYZdzcY6qniOH004FTv1C/JczOIJ1AAXsdcZuMf3qk2g61A7fR8XQTmEZFP1/j2hlHZA4vZF2FD3Lgu0scPXznFjmM+LPh5sMf+dbDMx49v8OfD5jpwsPk2EhgYxyxdMSmVF7a32rBl8rTMHBdCzelctIrcCdwhcyOs/FcbKYHalfJuxcV0MkRnj3vENLpzHQ6culH9CVjKraPNPtMHS/0h4Y2T9GO06x0Wtj7mZPpaZuK7DPpWXEThAmOP2WCh9EYnhjRaSWjVWdKUPJdg3PGZeiLw9/cUGYlfUtw9YCrhf4s6H2HOKHrMglHrR0x7rh9stjNgrzJxNljDHScgNW+VELDzUfK4jjHHUOfMaYByvbwSEdj9MLP1444GCgNOYJrAdIOdyhgVyXHrlZEYQ4Gc2uoVtHHxjNuPcZS2H9fM8J+3Xuk7VYCMtxzHjMew+8fA998JMrM9LBQu25tF509U4BZLBK3XPOAN5nP/iNJvtLsgk0W56Z/rNAroYCpXD0r8ftIk4CO+aXEoMLVPafLjnPsGU6r0kpVSKknhIiXSmgLxcLJKouLbIswViG6hC+CxXAMPT5fY9sGrv8Bu1jC7BhS5LK/Ie5v+Ol75mQmntzCbkm4ZUcxt3T6DzipWODCQBRPwjFKZNqMnK73dMsfyXFHzrfrddOIyoVvN4+4GXxy5ApiBB+E03ZHWCJXvybK22lt2gQ6FPGZeLVwfUgsfeT84Uy8KHHxxGopv1nVjnffYDX7rmRX3maSVyZAuivMbPFflTftgtJ4UuXuO6Q93P8GwieQWOnCibhLNAW7GM4O2tAodwXzxRASvEP485UydQoLnC4CUpE3E91XkNTxvXsDV18xkiiPHXChVkOMDvN+xOwaxnyDrx65WEI4ISjVwOUKwhlcWu+LJw20KgzHjCaPGo/c7nCXZ8xlBoSrIIxeSLIev4gSwhkuCucOiW9Rf6Daha8URpQXAyh1djCvtsrqKzVUbLZYF7E2IqJrG6FUzHSLdxHvziiC68A6yOfAJns2Ofyz66S/Kfve3yJp809dnr+V43vFK17xile84q8B/xr7Xuf/HrUCtnGT/0zcXDGP14TzA0UWmon87tJzuWo83ypM72kXTz07VCNXnLmTI2dViioZJW96crOkbNkM61t1rYKqYdDGTiufrzLZN7BwdfwJZKG4b7w9BJYRvr2vDH8qUB019Mxzhw6K3FX4cg0+we0jPz0WmlqeQuB6KlSBk3csN1eQFPN1or27gT4h7itvq8EtSnuqmJue2jouDztqd8ST2MXCOVgsynUpoJZsDIdhzbxR4L5zpKFgq3LzCMGtG8y5NsKPjjYGvusV4RDp5sztcuHZBho9N/k9X03i4itmCzo84HXmp1/h20fDZQQ9Ke9Oa9TFLz+uwa+ioE4Rcw3Vo/dfCCVgJJDu9rzRM4MufO4rpRpac3h/Qz4/U6cJTns63whGGJZrkrvQwsTmzaruiDEQxw9wSjAt1KsnzLDD+y1/Nzme44Vjmenu7oj+SJQj+sdbgkkEu2BNZMkDKY98lEfOo/I8CsPUUfeVcl3wv3i2ubFthYMfqEBVqDcGe0n4Q6L0Pbk6cnb0faI1Q0qOvmsYWemqXYxkY7gET/ppwS2G7ptdW+lecrKlyovVSTEoYWMY3hie2zV6XPBfvvNsN/Sm8U4WPucfqUbpwiN3ZEwbSekDUX8mDpHLW8PmyYFV4ptM/fQbTIbgv4FR+qa8iYWiyjLC44+Kue8Ii7Jvicf8hiwWM5wRwDZHP++YwwUjkes48e1OydaweQ60/A6ngbtu4UnPLGQasqZdi0KFVEYUQ9edETGreiWvIfqiSpgy3W9BN8rnL9AVT4/jegw8Lo6YlLfLA9PgSM6hxQCr/cbZjIQtzfWcyci5QxZLCPe06x1t6PD336Ct/IQI1E2ihkI4DOjew2AIfzjTnKF5h1HDWAtDKSiVg3Q8mwGRa7y54N0Jf5vJXklGKX+4oaszvV7YOs/i1iwaU6DuPfnGUe8PhGwIzTPfJDbSuFI4j7ISsV8bcTew1cZtqfwaBrTvccNIOj6Sk5CiZ+gWxla5yoWnYcBpY5MzsV6xNDi1TDM3WJvpwhPvc2aujs9tw7aPiG0Uu5ZEDLVx9zImL8bw3XnS0lGDQd8q777tkVo4+4c1LL81bnPm29AhKrxNiW/ek8SA2pfA8ZexftkBgu2OvGkRbZ5f2gfk+it0C8Y03n8X+thRzXvu3z4y+wVOBZYPiDjc3SdqVUKC3zwoX26EyQvjsV/zvLQxzpmehgbh02+3uOeCWdqasYZAa/h5pvSB5iymrupGRRBZFX3NNcIlQDMoEMPE20XYJMPX0LMpiU4KX/9OCN89/mB5fj/RzY6wOKp5OWwRpt0WvxR8LFSbEUaEnnD6RO2uaN2eny73zLvCcd84J0XdHdg72p+/EkwhdI3tx/fEy8x0OCOiYASswWmhNUOtFgDZFrjKxM8fMC3h5URerrCqBDK39oRnLTk4SsMqDCqc1RC9Ze49b2ksQ+XbVWFzVqoE5rBBNifcZOi+djQqoVV2KfE0BspLyYCPiWIa8wD+SrDZYR5G6tUeqZFw+MK0/QlpjfH5M3nT4YGbpfAUAojlunoONlMAq5biCk3a+vKnvYSQW6WGBHjM9BGxT3hduCuZg/FELKqQ2hVehR/lM082MKtjWTwfZGKUTBLl7AJNDG9T4uvNO6aupzvcs2VDrxZfH3i6qkyjUMIVki6YlAiHbs0OfOEPbIyYWgnBcd60tXHv++8J7oA1F5a0462c2RE5toHYVVLXSDcJDreYacuHH/7MdDFMk4VmcTlhauXc/YCGM2JP3D5XyiiUjeHp1+W/u0769880/W+O/5p8+h/kD1/xile84hWveMW/I4idUbFroK1TTEts40ShvbTnOJJtJKMkVbq0WtvaGNc2MLEsxpBVKc1TWkBqQapDsqd4u25iqqCayc0xt8BolVILeVortDEOmmPWQKHiKZiXDS8Csk+oFXQWnImoRGpJRHFYLLvqXixC60ZmmCOaG0rGzROVwrxvLHOgj8pQKpOsWRZpr5iiKEodC74CzXPRkdbNFKOUajA6gFpachh/xmkiaF0b3ERI0qhFkZTZpUicIUXDjCP2ikqmxCODbYhRzgGwa9X6fOXpakEuwnEZWVKhtUJ4TquKTIRsLbi1TSvlEWcs3lsWH8mx4bIh1C3SCrUpa28eiFvza7oGHW3Nn7JKE6FMa6aGFIGl4YvF0TENBrpC8zOXZigtIq2Rw0x1CtrjFbpmCCYwe0sl0NSQyx5tEffSVqbZoZPDKBTTmMxKkCRpVFPJSw9FcLZQx4ZToS+BaBdaVmw1jLoqRBTDctUwVdknmI6NmgxL9asaQgVbHXFjUVtAlvUkWHCzrKHQsa4V6KXiREnOsmUhqxBrR8MhzYA+kwdL8R16gZgtNCgXg9WIFUCFmjxZlcU0ki9EK8RjR+8apmuE86oaaRhIA2wvQKLGDJKBSjaGfmk4A8UIPRNOy2oP3DXUVPbHwKU6MgYqaO4AobEhMOMpOCBuPNVAmybk7BC1yKbDNYNrQioNWxOhNrJWWnVghbYx9EvG5UYu+tJUl3E2ElrDYSiiVLfQQqFuKySFDLZZnPZ4DGUbaaYiGYabQlFLAiLQLxWbGzMjVQCTcP2EzRGbC92y/l0VUFMJLTCqpTJjvGUYPPl5QXPFzIbqlOogi2CKoaLM2ujOkKJlYc1Pai2xtFXV41KmYyJKATE41pbChhCNocsdIoVsM6jgaIxaiDYi9iWjrjVUFctL7pJttK5hZ/uiNmzErNSmbKtw1p6i0HLByYQ1woYNZ4WohYs9k3OHmMZ5WKhNoTVszXSyBpMrmbMpFAfsCvnQsLmyY2ZqhVoVmiNrwwG9t/RLRWOmJqXLC1YCugxIbZiiHBFqLThRhla4dFBEiPMGtXG1Tk49zU3YvrE99kSTKTSatYSXO3AeockA6gjziZo8rVm2G2GhkLThLgO5yyy9spk8xhSyVWSxNKvkbcVlhykBNFA8L6O5sI2JopnkMmIF0wrUTPQ9rRlYKnPLzK2RKmgcVrudvVDVkDsPO2GeGjXpah1248qKLwWsILJakGsdcKnhLwUXZ6rJ5K6Qw4w2g22K2a7FFTE64pDXuW7uiaLU2rAxcxaPomxRhrK+3MhUqlFqEVLosGWmtTVonipQLa15hpooQKqWMDeksrYi1ozTQt9BIq2EsLXIX4g/Y14aZ5VJMrkvVEDjaos2ALYCq70uxMZpUFSUTclQwIghGoOpjWAadiu0KmgxlGOjOEOxgg6JxdZ1fF3sank0jcvQ0FbwS2ZXK80ISS1jHumXiaaNY/IMxRAyuNqIxlD/wiu8WIIXrzQVXBE2nNahpvUYU0hD4+IbyyVRWkdNFpMqrUCrjeniMVHZFuWIw2ohaOFYK5od0kbi/owaof6XXpR/Ev+PkVL/M1RNr+qhV7ziFa94xSte8W+Jf4sXQl04kXJHLp7jXrlNF26OC/d9h8Viq+XRQ2kFnTKynGEocF3Q+QcWMTS/ttqVuiOXa3o+IxhEAtkAxaLJgZ5IWC6m5ze2UeeF82PkbECcJdBxr9eEtrBJC21dR685Hu8WmBzt1xE/XGgmU6JyxLOTwFvp+OQbSRuiyu7pgNF1FR4uM0uDeQvPhy01NW5N5quzzD3IdiJ8b5QG5y3cPFRK7vjMe3T7M8ZEupMDrmitI1dDkEpA6Yzy6BzRrDat87TgL5m/Oz/zq94wmYB2lbRNGFnIh4l9b9iMcOlf7AdiOXwYeftp4uoonPQ9Bz1jmbi6j2ugshFOvQfJtFYo855h2+h94ZkD59mTLh3X8R2zziwaSUS4aZhB6LrCNil9gfvuiK7uDep9Q4OCU/RpYZSOjeuI1xvUzKhe+FQVvzgsjsV9A7NF6pZRE9smDNrxtO+ptq7ZRJd3UE6E6bDeZLOnxQ7amSnAqYf/+H1gkkyUBXnao2amdIW8j+xszx09P8cHWIROYb+stfVVLJ/fGbaXxu3ngr9XzipM6rC2YZulzx3TpqeECcwRGtTZ0u6F7XKiGbh0gW1baGJ49h0f9YnYAr+ka5RAZWbRL8zXt5Tq4auQdKX55Bxw/QVrV4VcKf1K1nSFuK+0YmifBvjxjISKexZCuFAZiOk9bCeqjTAf1+dYDMeu43paEOCpgx1PoI4/5ffIttL7yt1jYDIdSRyklaYAJaXAhpmRxFaEp+3A3Fn4dqI8WZg73H94S2cyPidOv5zpY6Qrax6cAmqEfOXZ5cTmEjmvXBOtRbzAvl7oqdzLauvBVMottFODCwxxZMw7AgNf3/4Je1DCqbH7jSEuDZkrZwOlQlkMJ26I4QjDge5mwj427KNyky0TiqgS+4UNV2zLns/hM2Hr2FwFzt+PyLEiUanXoJ1QAnS/BhKJi6385gS5OibZsM2BosqRiQaEeWE4Hnl8B1hHpyshkTE8W8uHuCdJ4jEUQij0NXOtM/e+UczaJTe9hG4HcQhC8418lTFptdRdrpTvF6WfKz+dG6KFWIR8yhhzJpiejf7AuQgLCy0kYhxppnK5PtEdwUfFpcSV6XECRTMlnFkGiHeZy7nRx8QdX8hJaXVtm0w5IkbZbIXNM7i4XstrcyBIoD68w5FJNP6gQlhmBpO5K4l5q0QXiKePdP4BYxM8XVPfR+wucfOw5TGcKbZS+54dCW8K014pcgN1w356IE93NLvh+uOJ7yYz58bw7Zb5w4lpH/npP204dZmpi7jvnrwv1LvC8LUnpB7bOs43oDhshbcPn3jsK9OgSC/4WXGlMA87NAoSMwdtxNRYJkN/3CM2I+6JQkcbPfnWsfxfC14SPgilv6bNBdJCPxT+0vhWyhXueKJ/PtHzjVMPZw+4Ba0Oakd5B2m2nB4d7X2lnHvKfAeAbyfGeOaJnnFR3p6hk8DshMVnylJpdkCHG8w5U4xy6uyaK1UtKQ1s+olmGkv2XJ8XmjQOoeCmI12ojG8N8fFELQbp+zVbCXgOqxWtmspxWJCdYKvFLmvmmBhFXEK1x2ZlnxKTgJrGPi+gq1rzqQv0ZWFwjf5KiE6I0fD8DHO2ZDHI3ZmDB2mG4THglgXVype3hu5xpp8ztybzyTYWcVzxlvH0FXuaeabj2ln2Rsg5c/Ce+UUlhghNDMfQvfQZKB/knq/lmllG+v6Ry03heavULzMyjUjcMRwiOVdyXXj4NvBWZq4k86ADWyobk/meFygbxO05/zTjj4I7/POU0/9j9r2/Ravd/2y8nrNXvOIVr3jFK/7X4i9zb/0fedX3T+D/1XWcrOdo3armyB2aA264UPeFuq9oVuxssRe7yv5lDUudyeyzcpfAAsdrw8Od5cMf85q7xPq7c3fFabxD/Z9wCfwccK5RO0PaWD589pAjSU60j47aDPlseDtFmm64yFuq+TPRFaZO+L28xZlMtk98efqA1MJeHznIW9QqwZ+5WaD0lYe3kfdfIGSD9Y7DTSOroEfL9KNQu1V5pN8LHfD+Vvj+8zU6CztO2N9UkgQe//yW0Z8JJDYpcewsxcgaTJ0zQRsuCJ93jUWE7bFjTBVQjp0n1h1U2OcvLLcfKKMjd/83e//Va0uSpmliz2fK3Zfa+qiIFFVdMyBBsq9J8IrgXyDAP0wCc8u7QbMrRYgjt1rK3U1+vPAdmTWc7q7urqyeTPR+gQhEBOKsvba7ubnZa6/4iD96/GxYxcS2rpDW8RNbCpZGQ/RIFyLWlsXeIIJtyu2cOXWOyRmKaX+yY+RNoR1W6BTo+hFMQ0WI5xVmOGPCjM892WbUVL4/eByGJo7f1xXmdsZdRMzDksdkVLmalckIkxXUKRdFWdfGV/EEVvR0dPYbx61y2Arm8CsknpG4ZxMjow4cdcVO7xFZQmklbEnVMmdD1zW6lghlZlwvwcwOw8WcOXeV53Xj5ts7mhSSP3GjMwnDyTjmt4naoM7QnwP0UC8Lbz4Js288XFeuHy+hKFPL5PkSXSX07pHVz5e0HJjEsw5PIJWCpV5GNPfoww239jMVz319x0Z/REwhdx0pbRm08E4e+eY7Zg95PXM3KK3C12cwa3DNsDoEtnkJ352uDHO05ORI45oQRuyL+saoYlujT4lOlULgIx9o9oglsyuOcxeoFjo9c71LWKN8e+6oqwlsZTh27LZXGOP54dMTsp7p1oXv33m+fb4g7h3f1S/snWMyi7oCERqWuVxiVk9YP+JPHZtScFL58huDYYu0jjzucWnpCAAW9UWzXM5vOWGZpbKV35OtI1tLGiZccbjqqUBLKzR1XHFP8sIczJLBFAshFea+J+0qeV1Y/bGBdKjvqFKpuqG2LS2duJTIlU384f2Em5T+WTiWHeYy4+8m7MeAVkPFYBBCVfoE36TH2EofZrYfEtO5Z/91y/e/fURNZYrKSRwaDeZoSOuErUI3OsZdonWK6Q3dZ4e14HYV+6kuwetWmV1PF+BmFfnBQ5uU3VdlbRy6FsYPkL86NFtELeerRC0Wvq75wBEZMt/eVuxTh6Qlg6lcFbRv4JX1T4o2eP4A7Bt+gouz4A2osRxCB6qoU8qu8u6p0c+epO85hWeyiSgWYSlV2MbE1FWyFVoLjKUnN4+0NW/fPbDqRo5/FI7ugmw8a3PCXiRsX9nOPae5MdXGeBlxU4+dO/K4oW2OmG7kbl+ZvCPajpTec4uyNpmfdx+pUmhGMOu3tCyYBN9/gViPREbmdc92Vdn6hv9yybeLM0+XI+/8hnYfKQ+JhFCdp9qlUdX6hO0i+Z2hPRn0wdB1lRWFFYXPH2TJajoYLk3hJI1nUWx4SzeP9KcDsVsvwf1U/DQRZc3ZXsDNF7q5MhygbXpcbYS5cH/VoHn8PBDjBWxm7JsHLn4QtBpyWIjLHBrzkNCgmOwIx4E0D6yt8m6d+en6TM6C+xq4eLejlcrp8UBZz7QyoPv38C4jDcyD46Z+BMkcQ0fMN4ASwuMyl4RKuIrEfYAZVmPi8GtDtYbwdWnnQ5dihWKhaUcb3+D1hJiI9jM5XaHNgV2C1lFhrmusRsQkZH0m52ucMXx/+5F630iz8LjuqBcVnDJ8dRQsisErXHYzzlY+jSusLN2KqtBEEA+794nD5x3joSMMB3IKSDX8xj9xXy44aE/fH5YyB9eIQ0SzIMkyFA8qizLrbcS0iiQhf7ylc5EQMuO7d+yeDmyPez7+m0p4VLpvyrf82r73N41Xy94rXvGKV7ziFX/biMagvuFDJrLUPtfc4xiRIsi8NCZJFqQaavXgCpiMbUuYTDJLUHkuFs4W14QmjWoatQ5YHJdSmFsPWjGm0Rq0qpgM0nmqL0QUpSAl4FNHMo0iSpQzphpcFbal0VYzSWBuHUETrSkjA3aVwTSo0DCLTWIQ4lrRCDYbWm1UFWINyFgwTWm2omYJbB0R8iqjVkh1scQ1FYzJpOBBlVU8UeuOikVNIncBpRIlodVgcMxtYK0jVn4hHCqoYWZFMoUmFTtZTDJIEVoznPUlT0SPYANqheDy0oYkf24IEqO4XaXTgKpjrAVfDRbBpkTSSvOFYeuIk5KjYm2lmko1jdAXULdsQrcZn8EUZesqsSn5bPDzCq8RT6Q0Q+0V7RqbIyCeyTpy8bSgND8SzhmJgvEOqSPNRugLbm4YyeBmMBsaywakbg2lNSiZWjOlLCqnX4JkilYygqnCJjYc82LlbI65g9oUyQ2SXRqZqIgtNPXUaU2uExa4PEEfM0Vl8a7YjJpCoxFkUSk0VyhGF2tm80gcoWZwmcRA1WVLUlkBmVrBtQiuMG4UzbrYv2ZPWhU0NGSjmGKRYslGcCw5Lil29HOhL5WskULjl9W0aQ5TG9JmCpBNgz7CrDSE+SpCVkIVdm0JOC+hYS4irjRIwlQdriWsLCRY75ROhPNTh6XQD5XzoSNWT8ZgbUIEpCkhjRTnKWaDbBN5FMgGf640W2myWEqpFlOW7J0qlSYVr2AkoZJoaqnVUtShyaHNorr0cmkriCrVLdTIKsvi/MFQrKXWimaQbFEjCA3TItVaWm2UUuEik5JyjmapdC+gamjDEiAus8NXxbQKVE6sSbai20SrCa9K34Q6WTSDMYXJKFqFODqS7xfrnI3YVJG2ENDNKaqGego0BVGl5aXF0DZdqumlIckw6YD1M1IgOYszBqMQzpDa0loYasHlhVBWWymiGAV/UrTyohhhaRltFjkHTD9iWqM/OKI0aoAUQVcgYunngWTS0rA49UylkI2lrl5sbQqrmjgPkC14J0S3HCCUaUMLBWwCGplKSganDhMWkqGURvON5oVx35NcRUNhc64Ua6g9lPPL9ahwTp6Gwaiy0xNGDRElO0dLBomC/NK6WRW3cujs0Nwvc1ErjNKQCyF1LPbZSdFqaMYyVENphiwQsTTnkV5xU2b5hSu2r5CVkgSmgKuN3lfSLItFsKu01LBZWaFYU0nqiC1QN0tGW0+ks6BiSc1AebHxaWM9s1jaVg5bE9IS5qyoMRS1zNUxSEOa0rQtFsUsmFbZaCSoMLdG1UYzSlvBFB2U5X1QvWBsZd2PzKVRiyVnyzx0IMs8XE1cCH+FWpc2Uz9DzoJW0NaQaDFOEN8odQmc12ap2SyOOTfhSsSQSYDYgoqiWikVaIZmAsKiRiYGtC80J4zTFm8SNlRMFUrsacUwlcpKCk7KQoJ3ivEgc6WxNNUu0ZINA3SnLWIEHSIuFxRLMzCKpXYZ+zJbtmxo2aBdxChL3mBfIRtME1xafjcKXEha1iMi2BSpRCaX0f1AJZMv//lMzr84KfWfq+Z5Vfq84hWveMUrXvGKv3b8JdYrjyHg+owfEidAG5i4JIXYyWLHX8iQxbaS04D6EYaR/thRRHjyy/coU4ceBkQKxSVGn4jzHRc03raJh/mCpJGsJwBsUmzK5N2KaJSDCDorw2y4SisOfSXZyOyOrPLAUDwX58Tp8sBM4DiuuWNPlY4nbrm6/oxoZX4MZIRiltPX8zVMo9CeDYyBWi0p9fRPI6YT4lYRKxQDDwW4PEMTnqOnOxlMEbruQOzvSK1jPD2R8kBtlr6LjNsVzTSmOdInh8s9c9pSqS8bdfB+pBnL1K7APSGSCIcOYam9n7uOOFu0FS7YI65DguFmO7MfA3Ny/NLDrhbaHazPnmHumOKJVXUM1dJi5hgqsVc2N1vS50I+FYZVJJlKQZFdQs7XaFxxf/sJdxS6s+HNkHk4W+JjIMk1Pff0HDkMA3lbYVO5elaehi1fh2t4APUPTNtH/DPko8fMFnimbQp1k7F7MD6iQ6L5f0MRRzIg1yNwxLQT+WtBxYMs424JwhIOXliVxt2zgDwBPVo2/Pj+jB8rF98q9bFHPVRXF7tOHNCnOw7dV7Y18v5emfVMsxbpOrw/U20hZZacEg/7lUIaaLknxS3b+YjYRB6e2MtbWnFQM7Nco5rRdGCrewiVL+8t4TPoaOHUs78+IT2YAP5zwMwGQTFAK5790y2/MV9ZMaEy843ArMsz1mWPlB9gvgABAABJREFUq40KRFWyrXB5hAcDouTvJ/znwnDy3JSer+dF/SXfJS5+Usze8oN6HuoRYzN9P3DrBVc9v/v5hnffP9Bfzfx+fwXFYxpYl3gxkbLSe6bxLaleUf7+B85icQfP8LFQwkzxmRQS2gLKEqxebKGZhiXi3YS3M5FAyo6S7JKfhv4pqDswYslMYcW6wCopcRCKcxRrCecz0jwmBmqArhS6nCh2ACpIRN4fOD15jp97dASjltwF5GKCZOHes4kzTkEQ9qyJ2wluDpBmurPj6uD59OQoovgw8pAbbXS0byvMcAP+TPVHLvfLkMwdYEEnD9+26DDSWiU/e/pacQJBhJAzc+p4mLZ0JNQqqes5AF1VLj82zr3gFC5zoxwc2QjazZxYAsPDt0LqlxBqAaR4SJ727RLz60qQzMUfep7ulNIpOSnjneJwvPvdjufuGSqsnt+ybydSSMjNkfBcWM3KTSlMK2XsDVPuF6YqW+RwBdefMetlfj4/BdLYsZUtcrVHhggfA8lCFcPheYN/n+jWibvfwcNbx3Fl4WHCJrA1cKAjUOgpvCtfeHKOR+dR3SFjhXPBz2eyT6iv2Osd5nnAHraceOCo8IQi7zNMDR2V43Eh+E3XczF31FZJrXEEam/RbcfuDw3XEiKRaSWk5IgaaJ93hPXIdnvgx8MF1SVMqOhDxGthY4TOCPsSOOY18t7Q2YlNe+SmGvYS+ETPStKf3ou3k3DceL7t1vT5GTtH3EdlXnmycaTouSKSUM4efPKYZgDlliNZDffZU8aF8Eu7Rv4EpgohAB46SdzxmftzxxQ9RQtPl5sl++6L0DafsKYguSdnB1kwBTDLdJoB++QwHZhNJKeF2LNpIbhQpR8e2bTFQpzocPbACx9PnBdy3oi8JNeBpoZ5c6AE+PyHX3G3ORDWE8wZnne0EijtkRuTWJnC1HVIDwSBp2XYWYVVAigYDP7jG8zlF2S3x39WxCvVO54JsIp4PyLHnpocuRk0Ka54vDrkckLPHkaHe3SILodl72VmL8JBBf/4xGQi+6DI5w3tzUT+/vzPrpP+4va9V4vZXxav7XuveMUrXvGKV/xvj39J+97FxQWIIqJUYJeVTYavnVkk9apcxchJe/a64oY9s1lzshfI9c+4LLjJM88rVHtEBtbhC26bMFeZ59ngZks/Ws4+YprBZ8c6rkl94nBx4M3ujjJXzg9nzKUutpWD5SJNJAPH4OnmCC/5VVNYY2phGA/UEFCxVAzWVfpWuZwLDz4wr5R4m+gelnDfPN/Ad58wZNy3QHmfaL7SSqP78h5TBA2PrNeJ6hrPTgjTHTYbmA8gluYsedvz9v6AnxMHCtNvtlgrvP/hSGtCEsOD76nR0kKD347sPjZMhIc3Bp6vkOjo3YF/umQKc8K0RuwDKktbYUo9ngExMK5+oqsBpxZrFVGDqbCdJ/Y7Ye6E7hBoL6KgD61w3CmnQTkZxR4tJhvK+4R97jBHB7ZQdEM1Hf7tl8VilS388CuG9kDHE0+7HY6Kk0q7iGyPhuFs+fjW058SwzERXc+6Nta18qXrkIuA2QWmHwPFHGnumdtTIHLJKNd8MF+JLnNyjavzQGkzUUe6/poslSiLnaJmQ02Wvk8v18pQfKNKpkom5AEQVBbiZyjKZXoZv63DpRWt22OCw662HB49NUzo1SM+FEw0yPOygamlI6UL3vaCmsiRPXFj6Ivh3WPgvsskabzo8MBAc5B3SzK3f+rAN1qn5MuG/hTwk3IpZ3ZAdsIf1wa/Mjhj6WrPZhwxKTPPS6hvM4bUeVK/pXnowj3t2EE24Jd2N2mCU2F+k5bA4Z8vsaXDoJjwhC8ziHC++BX2DCYXxD3jXF2yk7LBpYyIcH73AU33uHji14fAs3ecnQGfkSogutTb76GPwqfvFgrLFGH9UyW+EdqF8Pe/czxby8k6ruMtzioimaf0meIt9SV3btc7NsHx6TC/2EOXfOdfGgPfzjNn5zgFx9WHxGiUY4NwDJS6JbUd3eqJeuwozwOdidRwpPQHPoyQxHEygTrfomoX1d2HT9jScGdLnC+RTrHrRB0O2FlwR4dahbYUMiCWzmc23cTh3NP1ytVN5fO9Y548aQqY9wesQjh4tvNME2EOS64OTVGx+FtPro7nZ0/fZ0JfGHaJpwKlgInK6gTNrBh377nandFUePpJ6fpI1xeurhK2F6YMP9+DjTv6Anf5mS+3PbPvMeWKNmaEiN0+MjxXRITxe0//sSCTkDcd0hRco90lVl8bUuDxjfD2Yc0qBfJWOJZIrMv7ZDX3+BJQHTi8fSANI93XDlcT0hrJbpZQe19ZP3eElhFtnEz3p3lNX/K6BMWpMpc1tXZcmzN9H7GucTp+oAZBXOEqfmIqytxgXgWiS+SQse8C7tlg947YX8NkMZMwhHu6kvA18+XOYIt7USIptfSU0tO2cOPO3JgzPzy+x3NkkCemInQWeis8uIG6Kug2QzBLQcCTB6+YPmPWmfz4K2r0lATm778hdYZzYjh3KJZqDdGOkNaY6Zb27mdMafhjx5s0U7XnJFec8fSM3PKNvfeLEg7o8ozXRhDh2a5JK6XexoWcHAfMx7c490BtlRgD3bpgZFEGY5YWv+tU+Fg3ZAK9CRBOqDFkrqlxj28zN/bMKQSKGARhNy9z7bHzGFVMa3QpMXcduRPiRcTvO0xyLG8W/dNfsRoUobeKNS9B527C5wGjlnk94qRhm2DHHmtemjorpORpVVh1C8GnTilvFTkINio324g7CO3s+GO74G575mIzw87w+GXDYd8Rd1+QeYvNK7rVkdJlqm10pw7Ja6R22PBEk6XYA2BbMpvaoN3xuDvztD2Sf/9q3/ubxi/k0yvZ94pXvOIV/1qQl8Wd8pdyTP8tz9l/y9/9rxoq6MupotVCoAAdrbkl2LUJaoTmI4lM04Ijo0X+lDHF7qXrrVViclQxOB/QQ6ZmyNqo2aPNItWThkxxBVss88lSc6NJZWMWxdJoLckYGhZThsWiZaAaw6ouTT9qDLlvOFW2M5wcRGmMVtFUkApaFRsrmpSkDpsMHsOqWQ52UXC42RFygmKI2lFtQ3uFwdFOFq2KDAWmAM3hhkQ2lmI9ecjU6EAtWRyeSqfCqvWcbaGJIrOh1B7ThGGeSckjpWMjhdlEii1UX+lzxSpk4zAoqFDqEuDtpXJRDL4tTWGjCrZVtCmTWVNLQVBC8yRTUZRD6pEaWZGZkl2UHqK0Q8BNDZ8jXRHOslzXcPKkkGmmYO1I85lowOeEQTAimGnJMJtNBdeWz8NhOiWXxrk06qZiTMWMDZWlNt0naDRaiBCOlLEsTYUqVFFKULJXXK3UBqUZdpKZbWPeKE4F0wSaLLZSYxc7UaiEEuhSR9YzSiM5KEFptaC1gBEURUpGVwUNEYKSY4eN0Okvc0lDNRHXslhWjobWEs1C2lWKFppZgpbrL/syQKrgi7DRwlQMFbCHRlZFLFSxTCJkY6B4Wm40bxG7otUJKdBrYLSV4iCvG6qLDUaSgbCMfXMOS3OWUYoo/awgyhwjThRnFb/OyLFRs0Ojw9sZZ+bFDpktorAhklwmG4PJiWoqLSiVtrTKFaGvFkcAK0w6E/1LDabtsdHhZmHFgRo74smT9UxjISDceqKWQCkeq42q5sVWNJBpRFtAwLSAax5cpTShVaXq/Kctb44GQ2PVGqmr1FTRudDwqFd0FWmThxYwzRLdiupY7Em9onWx5OHKIrKqDi0seTStoV5p2VPLGqsTIvpST1Yx2rBVcLVBgXk21LiG4nBiqQJNDUXWpN1CxkitRDpgUTgNGbQJVjtqiKithAjYJdOpKwVkIc5MjaQcoYBnTatCbpFRZmxabFgOQ7X5pcWvobPDNEMfzswlUKujBSGwWCUlVaQuc4qJhmIM1RjS2ONSw5SGnSu1QqERbMMmRYql1hXJZ5qPSDS0UiA2VqWSS09Vg3F1UeOoELuCpoqtDSNKbQtRo/6w2HIxzCFQmkFrIw8VcNgiVJNYaKvGsW+k2ZNyeLkPBlcd0OgcdKERk0Gl0PpCKj0iitoGaUCaIrVShgpzwpal0a6KMquhWkHUktViKDQvxJUgSTHOoL2jzqC1gYuIFWgKkyVFwZfMlkyMDWs8wQfmzi9NlSZiXohcsRnjGiKN5hJn13ClsJojs21Yn/G9LvZmFNMvDXnNQFwDpeIshGBJZ0Um6OpEe+lUdc7iswUP5SJizgatjrEFdOVBDBorvSsYEWqeODahqaVgwfVYWdoZiyrtpbOvGUNT0ObJXqjeovMW0YqRiikRWB4TJ4I2jyJsJTN2SrKCxu3yPFAhBdRWmiiESmcdFsPxuNh/xSixOgIZQyONDp/B14aL0JqhGGHXElIhJUt3qphWsbbgmqNhaWYhlPu8ZPNloIWCGmgVNCjqG+ZsqGLIIi9WTQX/zy+R/uKk1OsC9i+L10ypV7ziFa/414UIiFlOG/9irNQrXvFP8R8YV7/8l1oDJW/I9LRwhOHAHvB1xpcK08tSTRT5cFo+Kwn5h/eU6hEM7WHEaIQuIuOWpo4khvTmEy5DOHQc44rmz+g6sUWYZcWzrDiGiike0pbcL3XuAty2ShbhvutI2xmfGtdH4bBSpg7ORtj+mLEZaEKXMi1nJtNwe0uvwmXuGNuMNghPnqE8UZrnGK8R08CC6TaUCWgZbjMybnBN2HQ/8yx3FA/ydoZPKzQ67sOZN6p01XGRr9DwQJQKXx1jvsFUx+23bzxJAAlc50vuwyPZZNI6oRGoliieTvOysRQD7ow1iQ/zck2LwBjAlYKpcN/fMEwT65K4MJ5DiJxt45Pe8DY/sp0Kx7Mn7TJ5qLQ/XmB0pCNybQxVKwm4mVY8787k1Yz3TwvhFmD7aaS5gHrP9l45dsrjoEjLFBuInWNYT4xZuS+Ku8u4vaKPFQ+4XHDZEIeOchHh8sz+5w6qIChHHymbSt4a9GuiFEdOnkszcdo2TtcK9y8hOMmhq4RRS8iG+WKmmzt2py2Htic75b7vmIcZUytWXzZbtRGnA3oXkU4hCPrTbgmo7ueXEd9QHdnvImRDe+ggjcSh8u0ukw4NdWBuDLSX50Sh+9wxjMptznwOAUnKcMhMvaV2homOCZa8qvMVvjwRgjBstsT0hM3CtVlz9kuFe76MhMczZrY0OvJ1RHsITz3STSCLkuXyQfG18sQzK8BbwVwuGUNzEjgpF9fPDN2Zz88dOXtsFa7Nic+rxuSV4fSI7hL0yqiJuXgynisKK7PBtMDD9MjJw3kQhC3huGI4OHacifs1037NyJmsCqYhd185Pt5ymHdcs5DdYMj5imN9ZNYDTQeGOjCULaNLlAoxK6M+L5/T4Hjv2JbCVW384e8rJUc0etKlg/UMfk9KH/DqCaXjcXuHCzM+HJD+jEYHZ7vcpD8RjzOmVLqxEG+gSUfL1xjzGfiz4rQ1yAlCSuRsecg9c7zEqKMTZS4PNALZXDG+PRFKZPiaeJAbiligcHU8YnB0MjBvntBa2XwTvl0HbFPuTpXH3lMN+PjIsY3Y2rOTW47FMybHmI5oVEwxDCkQdyPUSppBTx4X4OL2M1XeUUtAH1eUvmCN4r4BqSKtMqTEOXTUZNGPG06aMaYw7CMjleQad80sIenqyPmadPER6U/0D4mSEpKUy5z5yjWTDHTyBRsdxirzxUT0imRhSFDrmto6an9Px6LuTKsVmgvUyP6Nog8r5NDR949/evPs7xQeL5D9jo5P+OZxxRE1suoqu6Y8/dzQ9RHdnchf/w61luIF9m/AnSAcSLtEr5FhPBHbQMzwFU9y0MQCHb5WxjXEt0L3MwRrCc4xPjaSJqJLyErwyeMPS3hXrxO3cuDbfc8wrLje7PjHQcnmBO5I/9AjrUF4QE2jaCOGStzAxRR5H+85+w6/UcydsPldRgT8Rng4NKZemD4YwkfoMezE8bRvuLFwzWeeUyNbi/QGHy9pXWG6OxFyIOWOI5fI9WIbNw8Htl2iaw17Gkl6yWw8YxfQYUNojsvjzM/NEk1lkKWBsGI50SGrijgHn+4gPCCcsTEuh1cibAQ0LAdWtynz86AUHzBP78A/gonwvMJ1MyYk5u3M7cox4Hl46AlhxJjKNIUls4vCcb6GMIOZ8Q/Co7fMzvJ9O/FYPA9nz81DWcjS0OhqRzKGahoI7JKwjsLPBur2TF0Vuq89dVOp20o3dozGMhvoalmUcOs/5zX+x/C/WfveK/7z8B+6Pa/E3yte8YpX/GXxZxn8X+bz/pbVRn/L3/1fE/8S+97fh4AFjAjPrVGdQ51D5pl4aYg3DlsabVrRxjWd7jEv92EOM6zBbAytNfy+0T0oxW3paKy18GQCeWWoW4u/LzRbyV3h6nBNKB1BHYfykXRhmN+vWX87s5or29T4Sd+RNwG5M7T5B4geme4Qe4Di0HmDH75iybgK2UFdN/JtRk4K40B7fstv6idUGl/9QL4ZUW3IUXES6KpyMWaO3lMUJBbmX4Nai3vuiERaNUi84EM9Y1A+ug3ORHoyd23iZ2/ICtdj5cwN1XhCGGlScVq5TYkv7y2j9fDHNXp5hqEQ1oLMBZnBPa1QtwRKn/tElwNdsVzNlpGJ6Avp7wybT4o7CsehQ1RRo4y7ShgdLjpy3HJ5c6AbEj/9dEffjfRu4kIzplPUwPggS6guSh0GKhYQ3srM8apxWgn87gr1CUIh7S7R0UAE9+GInApyKqS7hDs7/NGxTiPJOZJ13NbEcQ37FfRPPVUHiq4geXS9R3dPmNUbbJrx45F3T98R/YnT8Ig8rYltYNIVV/ozaVM5Xwr9/h0tKSlnzG/BaSTME+npDdpldLcnPFu0V/Sq4p4LJEsr/Z/GurI0pFVbST7x4emGpnDoZlJ3S8tKPZy4CgeGvrG+sHw9WmL25LLisj0SyHgrfPu1kAKQINwHXDRYVa5LoHWN+3dnbj8Lber4Wa8BgzEF70/kq3nR0ny5YHP5jDOVchqoolgvXF55DvvMNME8O8IqYwah3A5sPh4Ip8XusmI5wc+q8M6QB/h6rFwkwarwbeVxfcUKmG8dKW6pzeI2P2M0IMZR3ghqM1Ib/c8BHwtShZN8j6wdeCEdT7T+CQkjQ9lgqsFUZTMfmXxPdB5HIXpPsZZNjaxsIxjlaTQvthlL194xrx6Zu2fk26/wZsbbCTVK3hXKpjJ8NKwyrJrydJPIopQGab97UYM15n7GNYOvnvT2PX6/p/96z9q9QZnJcmQcBmpdoWmN6e+pBfLsURUGLBfGctwcSVJJWrHtPZRKm88MQ8YYxaD4cV4CzUWI3QbEIMBV7YmhcL87Ivs3uFYJ5pnWLCVU0i7h+YDYSnMP1M+XmDngm0P6J5oW6mjwQ0VxpLRlxVecZqRZtjtDs8JDNbjdzRKA//kju0EWYccMMFAEjnLm2N5RxdF1z4iAqiela7T/hDEzQ+mZ84CtLC1/3KLiUPlIUyXjuDfXrNoeR+LcbZaKRVmC2FO+QNWxdg9MrMgSMOsX0i9X2sUP3I3CkOHHlXI5O4ZseRoMlxQ60/jhQmjPl9hzz5X7SN8MFsuPmx6NHpMtYX2kjw2flXNv6aSnE0dwD/gckBr43cWEtRUvSnvasCsr1rXnS3gmr2fKKtGmxnrcsjlvEPON5AxzcMzXFTcL4WS4mWdmbzn07kV9KRgL1yFynAOPp4F+NS2HA01gWmNsQfyMyW+pu5n85hH5Elj1PZfXa7799EiclZQcV3aPWmH2gXSbsFkYHgMlv6H1hXr9hH7qwXrM9YA73IMWmoPunMAIbdUxhohp0J89U7wAdQQBCWfUZpqv5G1GqsE99YS2xbaCK185mVsKHTShqMH2he37J9LeUrOj6sCde6YXxXINF08kMl++BPJNoopFf7zmg3kmSONLvWHNA+Jnnq/h7nBDyJ4nv6c4aAgUT85hKbXYPNIVj6uCzxPZvKGaFSIPiCwHBqrCrkWCKTzeWBgddrK8iYEHVkzS8Xc0viLsRRn8V1QWVdc8XOLShKkz6WqiGx39aLlICWOUZuGnK+hHZZgEW+440Zg0c6cnrF1j3Jrfn3/4T66TXpmmvyH8NW8O/v+/m6ryT/d2f73f/BWveMUr/vICqf/YfP23QPj8tX6vv2XMw5YuR0KODEBVpbZGNIbQIMyZ1kMlU3NEVnVRuBTDKq/IKZNKBpZmOnSxX1VVqjY2ZObiGJNBqsFroTMZ8YWCp0ZDGQpqDXZS4uyXYHFJiGSkCW2yS95Tg2YT65qwtWDUUF1ZOvuaoc+NOkE7W4oUxCpO83KSKlBro+UepAIRKYKthk4tk3pEK56Zkvxi88gVEY80i22NvK4YVdanRO2WZqKp9bg6IzSqdbhuyeeKWTDGIWo414abC4NbKuMHzUjLnBo4eox4pARwiWYbMijNCyWbpe1KBbUWMY4ohvSyclGzWF78nOma4lAsEzUpM44tUJwSO4WzJVMpttGcIbPE53TNoEZpopxaR6wZrYWNJmJxROmQ0tBqoTpWk6NQyb1io8WU5ZR5Lj0qgjFCi4q3HVvTUbSgodJ8ggeHjy8NZKaCVEpQzq1gsmGQnvOq0iQhRpjrYq/sz1BlpjpFpaBW0NrQYtAuYUzCx0KoQkGZbEMcaPmFlFra7wYao4wYFTa5p0mlvRySm5YBxfgGamgVcoEWFKVhUkOxoMs/u6xghNCg6pItVQZlPv7SDmUXC4lYTOsWa48piFRIPUaEVR8RhIJh7jMmG2zz6KnHp4zWRtNusURlJYwW/4tdihViM1YauQimekqBXE/MNRDUsUtCdQ5MoysVlYy6SjLgksFWi0TF6bC0BFYD3dJgh5kQwBS48I0ZoWbLJi3PUzHC6DuyWLRZPD25LFNAHCymNFpupLbkWDmjdO1ILZkkFjEZTKaaQu0GahN0fIl1MiwmpWKXNjIVflExGYC5Q5uhqcPGCUolq8czLa2gtnHuC25O+OJIhZdU5Uwq3TIa1BOyYqRgJdOGCRuVMGeoheoMeeVRF/FRGWbFu0gywqRg05qQK8OciTLTDEv4+wuZ5YpQasWEil8XhIJVoacwZ1AR6Aq1GUCWsYFBmmDI2GoQtRh1SKqgjWYt0S7E6uBgtoVYDfGwohe7ZJwJS1eANoxJlOapRtGdRfLSQpdnCH0EkxnnhrTFcpp9JJlAE4e4mZDAVMO5G5ZmwVLwrZJNoonQUofRipFMmBzNNqJVfFZstVhdlG6KZbaGbUgkn5cmRTXkXildQfuC1p4WO1os1DZhbQYsrkFQQbMym0ZxS2OqUQEVqp3JakkY2iqCbZhsaLZRjCVKhzN2uS4ALoNdspH0xfbVXMMWCw1aWyxotjo2Gsh+pIoFDfhcUakLyWoSrWbqqJgYyM0x2UbJPaqLtaxhUQdtrejU0YoshXrBoWLIp/ViiaMi40QxFa0KkydXXjysSyOgaWBbI9pKa26xR/qEE2U9ZU5BqMbSuo568mgDsZZGo9pKGxzrMwRti0qwFYo2Sh0wNIxpRFMgQ0JoLtPHBg1mF4mmUIyhhI5SPdZketMoIaHS6GpDolJEUAu9eZkLVJZ5BBiKxUmmmIncNXyrGIWZntSUimDnRDEDpe8ZS8a0xtAKM5FmLCJCat3yvKhiakar0opgsqVamFeNYBbLuMnQPMt9bhZMBRpGFamrhdxOv4TW/8fxX0RK/bdYTP8tLNj/W+Jv9RrIcoTwJ2LqxSX/ile84hWveMV/d7i/ec9mf882R3YiiDZaVX7uOlZTYXsq1F/DXEam+Ux6I4ti6dhxM95wLCdifcRcrFDbKF0hjo7iDDUI36VEmJSSQec1vSq7cebp+xPzpMTo4AJcbfj7kWla0YyldIrIAZs89eMK3zuaa0T/zNtxpmsKcuBho8RmaaljWwq1Crl42nVDJOP9E3ugVEecHXJc40yla3sUQfB42TBkpRHx5kzcO7K1CyE8X2CA0O15uhWCKh/Oe+4JTOL52a+4mpd2qfMQuLleyI2fflrjfaXR+KiGd/cjG1t56CdusiIVjkUpdgttRTKJQMFYwVwYanG05HiKCVGPOGE9e05tIImh52lp5mqwelTWvhBsxUrk62HFqD2/MYaHVeW0KqSnFYd1ZOyVPgSSTTQp3B6Fs4OTFb7GK5j3WHPgxpy4b7ec0o7+8IlStmjpePvR8HjVGC8y/dce0aWV8cAOTyYQOamyOa+5nG/41H1C+glzcaI9CUPMXEXlYT6RNo20ET61M5fFcVu33P/qidolsCfmDMOzsP2mfNs9UjuWuvAmaHS0yVNunlhPyu09WDJHLxwL5EGgdJB2gCPQ2JE5DEdCsdydL3joR4o0BPB5D4B2SsKRVDgeIN1FpKt0WZeNb/OYGHEZOlGuVLhXYQ6N/CbzXAQzG8x94FkB5wnNg39a7Cyi8HxF8PD+7itfD5axCGkb6Y4dNQqnU8+aPT0VY1ZkEiY1rn8KRDVEHAfumN0ekcSUHf1xhZkBe+Kc15S84rezZZZEcYmQniAAzlCAkhelxOo+0+ULpK540kS6acg2s7Kf6b42ulG4uOt5moUxdlznmWfvOTjHvltDtNjk2MiWQiLaTP6uJ99b9Ait3RNCXp65/IWKpxSP+udlAhIhby7RfUb3E6zOzEaZrMDsl2cPKMP5hfnrMPM1TSFT6O731GKIsoGwJ3SKdIavN4XwNHN5rNyjWJsZXOJ5HGjqqNIxaEZLQYsw3t6zcsL1KDynyrjqmN4E0mzYHmH3FfCFg1We25Lp5ZJwmeD+7oGmFs4BAFssZm+ZpjNmU1ldQfIjfVFuU+IPeUv1sNqOnPfbpfmsP1KxSAuEeaaNUKxCD/W8jE36nvvNTBeUXzt4DIVxDujpivficVK5f2noNKYSwhNt7lE6zJuIaxMaGw8fO3Y3R8RXPn9r9CVgxMD2mSl8wEjA5z+ySuCK5+lqR2BPx8RuTssNQZkPK1w44e3M+hw43CbSULn4SRBdU2TgOn3mMz0n5/n7VWE/zZxiZpaO01Wm7gqGCU0bGAdSMqgXqp8AcKXR5cqDKuMuMq8Tw3FAdNm/JX/mKMpsI/Ei4s6OcAzU20pKliyePoRlonzJ+uLlz87qmEMhbTNDGtAKIOynwKp4bsXx8yZTjIO6wZQnTGugSnVPkMHfe2K8Ik2Fw/6IkUusi3TdE5lA3VTyXUb//S2UBt2I2SiaPPJ8Sei+4NpMeI48X0AVj8aByIAzjV5H7o4LIZVJlO5EtI2YNtBvce3M5elAOQbmMJBWV+R5ad7rQsAyQZ9I73puf/D0YyF+yTxtGkkUmaEB0TbuwwnSUrYQw8zNXvAV7ruJJ1+o1mG9Y54CnRZu68zX1Yla4bf3i9J6EiGvBnb2jNPGY345rEBZm4DjRBXlowSGWvEFJlYcNKNkdnOk3q0puw3P6ROXGXqd2bcnqg04G5jnHd5PeImE+bTc5+JYHZR8kZm3mXmGYa90E4gXSnBMnQddxlWHwc9v8Tzj9OGfXSf9F9n3XkmpV/zH8L+8V0LwltYatdYlqJJXUuoVr3jFXy9CsEt+dFNKbf9qP+f1Hfe3i3+JfW97fbMEF0dD4IF0o8y3lqJ3XDwmLh9nHtaNqkto+HVLzOI4GU+etjQWm8n7S8cUK/ux0K4qwozUE5vY0dU1Xbmga5nZThz9meoEyoDOO964I5OFb+K4ik8YHWjmlsPbI5SMO2bSdqJVj85btnpmVQu7nPnRrEgMiG5xv5owLSEPiyWoVU+eV1zqIxXPgXdsb7/g24x5rBzMd1QGnApVC8bMdOGJKgKyhGPHbQWgO1p2N5lOG8PPytcQGHshXhYuv1xiKjxdPzDEDskd5/MlO+4xYeL5rfDd/QpXhB9uj9inHYKl/PqJ2y+WcBIOuRLtHdUG/OqeIWVsEc7lgitZ4cTz0SrGHDEyIdIWa68qqFL80iRoNsL28Y5wWvOtHagOrBH+vsJTlzj5hDeRWh3g+X5Y8+0sPE1K10VKW9Faz7Zk4s1I2s10XwWaxarwb0visxc+uiXgW5CXryCsa2FdM4/eU3eCbkG+vqi6nJJuKv4sdHvDdpuY4prTuEPMnotWuKqVn1eWeFGpl4Wr3yurCEMTRmkcCTwz0K+WvC0aqFXUKS0oV98SxRjGVVh2nc1AXayJK1+56hJfZkM2Susq9fkDRishPPNm3RNd4bM70j13aBrI+ZJL80hHJLTEUwgkr5RVZHPhIfWcf7qg1ATrhPx6JHyymLhckxg92gnmQ0M/XUKr6N1HCI6+CO+/ZT5ZZRahax3yEmIvahEKAjQcc/a06nA4nD+CKFO6IYQ91iZUoVx2qAP/NJHmFU0M4cMerZdoWiH3gvV7rJlYpYmjviGyou+/LalPIozrGaZbTBrou09IVaSBcUJrUJtQJo/eRXRX8F8CO1PpjfJpvyM3pZkKNydC8tjqiZcJtGBqY3UMbMuOoW35oW8YPWE5o9YtcrPaCPFMc47aedLbhBZFIzRzh48ZP82oGjalsmmFn96tICnuVPFSl2fCLPFjG9e49JXff11Rtw37JlPbDe5cCc8zIpmVLex85ocdEC39s6cBRhteC1PwtLpC5x1X8pHkHA/dNX4ni4LwlHl39URIFbkXvoVAMWY5+F4NQMPkicsxoyqcnCNj8K1yUWa+6q+I6hCZUI1IcNibLd3xASmLIql/UXLMITDvIhoaIUD8sloKKt4lXFmDQPNH/L3HxEUCGHcFEWX70HGmI6uD4ni7eqQ3E8dTI4Ye01lurhvPJ884e3K8xJS4ZBOtIvUyYm3h1z80vlwJh86jnz4QwgFnJ0ShWUVlcf2BRdRgZ8O0m8lDYRs9fl5y8E7v3rE77enSiZ9/Deapxx863vg7TnXPqCcAjII0wxgHTIiYLpIuEtcnz+XZ8fh2JM+OOvqlpe4lOyx+H7GPO9zDJeX/tELrI4zfePexEdVxMo58HTHJYiZHN74ltsSsJ/q+YGWxwO7aiBsEs7V8fba0tggb/Dy/ZFkFmLYMatmJkHkk2sa5W4K8SzPEZulNZWiFi5IQ42i6NNCdft3jqOxOZ+oJxrLmvr0FDNbOdOGBdzFSRXj0npyuqF7JFyfCLEhdDjBqt0cEQl2RrzOhVN58LjyHwCw9qd3i8gytoJop13s0NGg960mR5BjzJSEcsAIuX9PVzyAz575fgsqtRTcbzHlCSsaKMqblmmx9YXKJ0lXMraO7t7izEObI6fYKVh2/TSPf9luO1VB/+xF5ukbiQH07ofMJ5sRw9Kh1NCek3Yk33rDB8OWTZU6O3ATdnNlFZcjCt7ZBLxNsEqYpnK/ReQttRMIR043s3hjmwwXzfoNOEe8S3mWsOkKeCSXywz+zhnq17/1X4nVj8b+G8Ofg1uAdpRRUG7W8bPBer9MrXvGKvzLoi44jOEtrSzNSqf96P+9f833x+l7660WLDW2GagOKpahSk6WpA8mYoKS0Qs1i04h5RTYWrCNsZ3LytOhJZqL0glrBUXFSCRaqEXJTrMk0hSiBKCD9GVcSg57pcqOq4k2l9oValZYdNXpECq1LaN+Q1DBTpYZGqsrYLCVb1Fh8sGQt2JrpS8VtgQJtcmDM0rInadkJNHC6tEA1k6hWKS4hLiHD0gMlTaGA1YYK1B5S7LFVwFUQkNZwGXKXF+KYRpJlQzMwImbZJG9TIzUhNofOK0odEAvWydISVQ21rJbAeJNprpInoVUDu0yJiVYbRTJBElYaq+aZ+kx2ih4DuQhNKxI7kjQ0jKQ2YdRj1DFZpaoi1aCYheBrgbFrS1ucUTYkxrBmsp6ZEWsNq9SRVzPdXFkVIfx2YJ0yu7mw3w84zXjSoiwzUNQwqDLXxpRBcsCwbPK1GEyDII3UKbU0TKuIUyrKCFCFMAlWgGLJIoiD5JXWBJcFUwX1gq4M5rxYXlp7UcCrYIoQVo1aFhultYWiwqkMDCVhbOOs0FpDxKBuYLKFIhWTzbJgNJXWTYRYsDQm35aNGYI2S5stmqBpwZgKTZGTgbo0HNZQGaxFA0w2sgoTUpQpm6XlrShjMxQ1gEFksREpAqWHUBfvXKu0YJHaGM4T9cVqGfQEzdAkYExiyAmKEPOAERBTaEVxNiFByNajohgj9JuBPFUoI8UUhuow6hhzz1AbQRMheaJUijRsqmCW+vhOCsYsrWK1ZIypiAG0Ib4hvmBTw5eM10qtgquKq428baSpYOdEKz3y8ly2KrhWcJqpWwWnWN9QZ6AopoJpDaMVsYWQwemLpW02QKH1mZIsXpQgjZqX92bUylobqSxtfpYMRclNsFZIVjh3UEcPebEldjTkpblPiqCqVFuQopimuFYpmjFO8RtFokWjUuuysW3N0lpAbIHWkGSItceghFbIOGjgm9CjOBpWE6M01BQM89LaaRYPVNAOo0Ktljg1WmnUqiyhZss85lIFacyuUZrDVosxGVMVa4QuOJiWAO/zqjBZv1j23BnjK9aAnJWWI00bRgu6XHg2JnJMQhXPaCtNFVvAc8LWiEgl9iySGwUxdmk8aywNcqp0uVGyEAJ4q9i54Y3S9WBHi1JogzK7I1oithZqthTvUWtZp0IxlWyVNjtKMWRR+llo0ZFKwGpGXaO5RndUJGXEzbzZCUTQuCJnJYVK2zRoBpMhzMs1cyGx7Qq1QHXLe8Y/KbQX62BxNPHgHIJffkEaYhNNPXMLmG0GFutprYbWBNtAXUdpjrkJDBFXG6HCMC/zZtSF9hCUnpHUC8jyWZO1VKvEdUPaQjLaVl7aSC3NWFaqiCq1FYgWqRA0I6oglaZnUq/LflcHLNNCOtaEqgNRVjqjS98t62aXhlmzkGtdVUQrMSdcqUiFYhYS3Rghbj1aGkYFiYIv4GjkHVQMzJZYwLZMJ3AOCqaiWmhjXZ5xXULTRRtSQOcNUuOyBhCHGLAvu/nmlWhZnhe7NGXaVGmlorXgaqa6JVutHVcoPbox4DJeCoNUpqREMWT+nDv4H8N/ESn132KR+7qQ/tuFiPxpU7TqPNEoqpWUX/moV7ziFX+lUECUzgdqrWTNJDEvc9lrE99/t/gnnvO/xPsrxpdFdrCIdMis+CgUYxGr2HUiP79H7Ii4wle9xhaDb3D3m48c95aHLx33/QHTdRi3Jvyc2JrKZSd8Qsgmkk1kqteo9oiukZsjXTmzPZwwTwFXGuuS2V8LLYM8NfQxoEMkXSZkZbCiBJmQIZKr4al2tGpwXhk2hXLaIynhI6x+ZQjF0R8Nn0KgSCHwQJ0FaYFOQNsZgOAzbRtpfSOtDR4wRZFTw536pab7KpK/vCWmju0wQTsipRCePdPliWornCCHjNjC9Wni7DqaBN58jXxqjTMGeboBPOIy3sDxWqirAOfvCO4e1x2Yd4l5XmGwrD4cOT3MtLPQwoiWDls7bvKazzd7zkOl3fcsvdaCnK44DF/Q4RsI+NLhmuPhn2QWlNqR80CtgfvxgAgMQbltmfttY75Usn1k9eWWzddbPv7979g9NK6ywf2f79jdP8FPzzw8bAn1wEpO7O3AZC3RGD7MM6ejo0yecXY41whWafcreo1c6cQfBoGWcPNiTZqMZTIWFWV9gt0TfO08kzMoynxTsakRDnlREA2WfOvp5hmbFZtl2dS8PBOrm8J8DhyeeoZhZE49x/MVv+UHeqvk1jG3M+p7tL/mq/kjJlfCqQOg+RnWB7qHJafqy0rpE9hi6E6BfBKgEroD8st8fG9QheYraZ146y0I/JgSt8M9Nhk+78OfHt6DgToPyzM9jOQu04yH0w7ZzOATmkBWnr5Uvvvjma94ZoWee07lDbmt6PtHLvcRWwx/4JoQjjgb0afA9m7EDSeew6IeE2fpv9ugH5+xh4lvTrnMO1Z5YB93XHR7LsIeM3U8uMTZVFYpMXlPsfBGIraCJuV+LlSEKJYex7yeyatCd+wYciaUTJGebTGstPHD/1g4Pp8YS4T53bLT80IyA75UupJ4/K0h2EZHhtxjI/hRgRPYgnGJ4SzQ4Azog6VtMu0y0eee3jYufebTbImzUveNO1OYouHx3gAjtQRSWtH3R0YLTx3w02rZeIbEhWSSNTybFzueRKyJhNYQCkH3TOOEG2B7bYj/ODDNQiZTVVE8OV+j9QcsBSOBRy4ZWub7fM+xbcg0RCa2RITGSp75EgLZKm58pLQB1UXtNJgdrlpIiXG2NFPxQ6GVgSYWffDsxjPGZD7dKmUeaNnTdc/4k8MHx/rdwO7TE7FEznfKvrxB8waVM5ddwWtl+qbENRSf6Zc4N7xp3AyZ+LzmGB0PqwQR+qmx5Z5WlKLLPKZZkSIMaUV5IWXskLiYG8MofOzBXgluUNz/fMa8L8il4H8MxHVi3s185jObAn0RxmypQ4cOPe+PH7kPjXMH+nnH2TeKL7x5gFk9iYFhyFRfKV3m4qOSbaSuGv/7iyfs85Zc3/L/0kpe7ZHbZ7ofO8Jc6FLkwVQutpk3b2d+/qGjDI16VTAHOBnlqxNqcogfMP2WPBqsnPDyiHYz59J4ypaL97K0qH6FlBzWNro+E+cbUoMTE1zfs03Kmwi7bzOTNTz4ABYchV38xOMGFIeeO/bOUftGvkx05YhNgj2/kNvS6HXmriw5ZV8V9NsFtLooahHUJLT7GdlcIW6FtAG/73BjJcwzuV/I2itOPNMBHTsi37wl2eUZWJWCVSVi6JJiFE4d+FDRYEi3Pf4b2HNBJ2GXE85W/vid0H4W7B6eaVyYJ7Zd5fcKjhOSZ/KPHt9ZnPtlQaNIc8j9O4RviDlCJzjflpD/2pOGxNgVzDDiDx7/7FlPhRjOlDCzm2bm6pljT9y/o77NmDcR6pF1alxG+PjUM9OTCf/sOum1fe+/Eq8n0n/GosBfZNTeWbyzrLrAGBPjHGlNX/6//76v0yte8Yq/PqgqIsLb20tqqcwxcZri32QO3ut76S+DP7m1UFr7s5XzP3O59B/EO9cxblbMq4EPj4+c2pqD2cHf9Vwdnrl+eCA1z+gMZ2eZpmuW8I2ECx3NnSjuwEAgDIawFuZvIE0xopymNWvjufKejwSUmcCROz3Rtsp8A/z7xpw8ZwY0XOK2jnBriHymnSz6bQvfgSuJ8HhmyEITiF4xtx4qtOdGo9BCoW4y2wdFrWHaWezBYZLiYyT3PdX0FK6QqdDpzI15oL6/YVLL/bfMm3cHnGamT4rvhGYsZ/HcTEvA7r5zTHEDrrG9/sbx8BabDN/pJx6CJ6tnNa3Ya6GYwqbLFMzSTLR0OS2h6u3IJLcU6ejkjEsj2MzpO8BabBW2Hwu+ytLE9UEx1iDFY//4DhkO4BLxeI1qxJH4jZnZB+UUYL6c2Y5CPwPj4pAqFsbfvthQstA/OgTBqPJdnHnqOg4hABlbLFIdI9eEwdBtHLt/+57+D9/w//iNmBRzNaJXE384v6H5EfEnVp88Wbck2eDbN4TFajjFLSs1rFmsKG1zRDbPdI8dLvXYMnDYfmFIle2oHIcBfVGL9GUitYGx7fheepKP7Psjb9JMUsPeON76SFLDY/HUt1Clo+YNF18C9Ilyd6KUIzILcgioCtU3yqZy8SiQHbEN0M/LKb5RWr+mK4Wr454veo1V5U72fOEdyXewhbfhM9TM8yEQY7/kC1kI3x3pyFx9qgwqFIWHouSuQ+2iQGhN0KCUNxE1isaA/vCOt+4r1s98vHS8OypBPV8u3zI8PCF5Yn81o8EvyoJUsM8DJjpMr/g8I21p0Ov6Z4I5szsnjt4Te0v7rtA+rmj7QDEwuIQ3lYzBScPZymqdGGdHicJdjBy9Z7QWp0q5LrR1w/zkqaFQHOjDd7SrZ7g4Yp1Bni/guKOtLcN4T4h79n//FtURm8/86qPnbISjX5R7uy6x7RMf7TJGq4WWhHWFdRXO546UDKVYrvWShGESoXYW9c9o+MYwDci2oZcF+dhRpVC6xPo8UDrHvHZ0zwl8pa0qdu+pZUWqOzTPL5bJzK/MEUejIjyGgG2Nbc7E1sjOMXcBFUUEjAVJhlp6Ur7A9w9Il6ibxtVDRgOc3hjGR7BRWFfH+arSFcOH+wHzfSHRePzW2ORMEziEhWD2TblMieOloSkMT8rUGsUY2hBoagnquClrDvZItHnJoaqWVg0xGt6bCT9Uvv6dwX82MAdO61tCPODyRD+dmD4YmhdWv6tUA9V7xnfveRue6V3hs74jfZqoY8S8T/gzhNTYbGZOh1tiHLCrb6QUaKWjZ8vanvAy8yUF7PUZu52x3tCer5DjwIf4ifNgOHvP+XSHBgHX6OTrEhTfDLfTHYcwcQojrTsjxUIKxPEdhCfontimnoahGqH/bmbYX9A/XfBzgboacZcj/4//W8fHf3/Fv/v/XPGk/1+cGels4mn8DbvVyO1uz0MHdRb0DN0pMdFzdGu690/YsWAfGod8QbdTNneZ6WuguEJZzWBZLPDHDhMqtfTk+RLvH2ghUlaJcFzT8opctnSrr4SQGYJwWiVaEsyj5yItSt6oyuadEKvny/2at3KiiufeXrMt31CEM5e8+fUztlrSzzfk7plmMkUNMW4xrrC5eiA9fyCrIa7v6epiwQbDeprAF/Yf4N1nQQp8vlzGvKmW1WmgSv0TyW9aQ9Uz5TfIJmFsxsUDeZtoVgnnnsspYQp8aheY4QB+pnTC9mAJ0RJ7T90lNDTkGPDbinhl/9ghU0Cyoe8nNjnhqvKxXjKEhO8a55s73OmIm5dMKBUFGqs00zWDxfDkHGlVqb5y90059XDuhH7esnaZ3hUe1HKZK7tS+cl2DKWxypV/zNN/cp30yjT9V+K/1YL/b2mT0XUd1xdbrjYbpBW+7Q/MKdPav6IX5hWveMUr/oVQ1T+175lf5lnVv0qJ5y/vgf8QQfLX/o74a8f/4pqKYDBs1h2ds4R/4cFcXlVaVyFUimu0alBxiJzJkhjFIH1CxYEaIIMUjM2UXjBq6OoaQ0OjpahHdSFPWxP6ljFGmMUztJFGRKVgdUMlM7uZtoYaDEiHTQ0plTaDsUvrmCmJOi3WqFI7qhZUGopSW1p+lgNiT2t1IRp0ae1KQbnQgJFK3kWqDzT1EDPNR6pGJqlIrmgTbFXcWTFmcVFpB6CYWUidgmnMNi1WoRro44a5CtoaUw00azBYHAPWnKgGshhMqwRVgl1CuKtCeRjACs4UnJ3pdLEWTrNDbQA15FDwc8a2hksOLw1bKoWXTZr29DoujXxiKPbFnpjBZUcoja41pgEKSjXgJigt0JoHFKkV05RDWxGTW9RngJqGuMJv7oTLqw3byw3+6pLjT88cY0Ipy7WRHu3zcjqfzNLARMOQMWZpryuyECteG46ErYImQ4sDxRWkVUytaFlTNJFsYmiN2hpZlaEGjDfkLpPMmmYCwfTobDFaWWlmCo1FRyXoBOor2CVfTCUvDX5VMM3gBESWMaKTJ2eDq8JgMpFGU0dLHcFaXFOKOKRTtME8B3rJWKOMPZSqSH2Z//q8NF/NG+p8popQmuNoXmxPqsRqUBVWZCYHzQq2DQQbwTQmM9MaSLXYZGilknWxh/3SWNXyGmMKxlXqoLQzSFEGIkUhV0czlmwV4xU7KkZAm5AOHqmCscqugm8VkULUgWIWD5YOFZ8MtlmiteTQLc/OWSmMNEl0xlC7QO0M+tiWfJ4xIH3F14olUgaB0sjZoUcPg0E7ZWbp0xPA4WlqGatnPY/MTpissLjfhFQNXQm41iitUl2haEfVgJEJ1wp2Fkrt0VTQ2DBDXe6DOqIMUBU3Z5oO+JoY0oSUSq6FpoXCopAcKGRZxjBA6Rf7bqyOKVdKM9RiYfUy0pLBhkozlZoFzxJK3acEurTaVdOwCIIjtTXqCk2U0Sq2NopCq24pbHBKXVfMJDSUed2Y+4Y2wVlDYGn3OxbLsFrKDWIzxGhJ1UIFazNWKr0upEJSQ9o7qoDx4HLB1Iq0BuIwaUCbUNwIgLGGVRepWZijxWjEtgxOaaYHMiqNLEp2mdIsrhqkdtB6cJmiDVTYaE+tEy1DyQ47VXyMKBWTwTfFDA5bMyYmqvQ403CiTOsZNQ3nPOfVhnAsuLzM474VfIUYenCLgs5ODXKlaMHYgkpBCsjjFpkGMBaXG0baom1shtoMczUUiUgV/GzJvSLFsk49KVvIS0iZs2CoaFyeF6NtaR9dBEuIWd49RitrTaTmwVbMEGlzBBWcBjQHCobkMpHFdteXgm+NJkI1hlKEWjyqA8VMNGSxC1sDohiW8abVktRTdSF3ATpm1FTmjkVdWAyuGUgOVTBmIT8VA1lYTIJCSgEJDhVhbss70Lws3ewLCWTMy7yvhVCW1jsUJDdMbXiFTZeJBppadpMiNVCtxWwKSqMl0K5bMtSysqkD0iqQSbYgxeJUsC7RTCOLQY0HdYstEkdPIlBp1ZK1o+AwLdIXBVHiDrLo0ubZLa79mpZIjFgCZwz/w90Vu6Gw7fI/u056JaVe8S/GL+v47XbLP/z2t/zD9x8Yn+/5n//4M8fzRMrlzxu9V7ziFa/4K4K+/L3UulTfyj9Nx/vrgzHLgqjWV7L/L4FfMsX+9O+qy6bWWrx3fH97xc1uzeX6n89D+E/hcC1gFZHGaa3ktIRDa/zCpMumUy4miMAIqtNix+oL6f2Rbn/J8PUDU/+JNA3kw46u/4JIRVBu5chZer5aw/fTPdkajiGQ+ztiGBn5QrsRrHp608PXZ2r0zD9u6XtHqJFevzIeBlIbSGmL6Z8wLy1T02GiecGsOhgvoBRokeIN6gQxwrasqT7z/N0E7LCTEr48MPYTZ2mcgeF8xqih78A8N2oHpw9m0TalJefo4bKn+QblALPBxYHt48DcfePsIj+XFb1memPoZaALJ7DL8+BypmuVq86wv4DRek5PNwQ/4iXi58hKBKOWaR+I6YJqAuOvJ8KXA+GcCE+eXUp0NTPrNybeUXVgze85cEmUnnvvsXHGpUonK4a8JGY8fqckEVqB3Y+NmRXJbKB/xJaCKcpn3qLVIFUIOqFhxg+F/+v/ZeJ/ePOGX1+8Z7YX/E8//5H/iWf2rbGKW/rzBtl9wxws7nlZvlsdsYyoCMUUsi1cy9Iqt+KBY+jRuKadb8lvfkJNRbUi03uaGYndE9/FyNwah6ash1vCRYKbZ+7tBZ12bGvH6QB9PnDDF/4xNBqGHsUfQEIkrY8k19OkkaZEv++Rav4sN00dHC84MbM2E7f+wDfpKG0g5xve5z1qlPvgsbeJmh2fP+74O3mmucK0VY6fO2T2AMjVGak9fL7BPQcw8Oxh8hO2Nm6yULLFIOyInL1StGO3v+Xq8itI5Eu357SYpwgjnJbQJsLzPeuakWbh+RbXHTDDjH6v+HMl1MZFS3zVFWd6DJm6zZRVXrxuAhSD/rzFh5Hen3nfQGqmVOFRt/hwAlNxvSE8Q8vw0HvSZksNa/xzgVoRlvBt6QZk3aGasCePP+9gOLMrI2s9cNxAqp6UO/SrIG+hrQwf24CXSqDRy45zEuap8Q85crKG6hwikJJlSpbfmjVWTqg58TU0St1B9gSeWKeZdRJ+ki1SEz5V4ncRO1rCY0eUK/x8ZHh+4rh+S18S18cGTIz2TAmZWq9YqfLejHz0v4SVK/EiosExujXtGNGTgSePvJ1wDWwKdEPCJGE8T0AjJOHqJHzrArNtpJToS0DKmppvoClZZp7DAzwrUgwuWp5lSw0Fc/uF8LkjKRxv5GUOMtAFbmPCVeE+Wq5vI2ZT+NxF2h9uYeoBoeueCZLZmMjZd8QWaD+uaDcjts/0+/vlnWIMc9/jTzd4HLH/vMxVvnHXP/D165a4D7zhE2MXiKFjzlfQDqhmYoTqnlErkAZEAsYExH/iGC1SPP/GrpjGI9ME93HFNSNbiUxAXworYH4L/fMefzjylQ+sXWbdJX6++0rPJR2XyMphz/f48sj04Z7dQ+Xi3vK7my26PWK6M/7fKVHO7ENiYKQ2D6ee+O9ucNVzuVPiZyF7YV6DPWdibHwDJlGuYuM6N37/Hoaz5e6+5/4hEKsnmg1D94hUYX56sXVWi832T2oiWFSE63Pl7pT4Id/RMPjNxHSK2FbpqMzxaskf00QziosNFwvGLOM+e8/zCLUNGLPjHMZFRFFHSrBYo3Q6Mj4JtTmSWLoXtSsibDlSpfHoZSlDwGIzzGlFBfr+mdkt81W4h4NCw8LjAFebJeMqPtF1GZFFkb1qBUsi+4YWsA1WSeHoSFZYakHA2MqHiz0PcyCnjg8p8VEvOYeOy9sfMR8bdbI8/Y8r+Abh0HgTr/B8pdoj/+gbNe9Aevpusdc3YKnbtBADiTWX8sTOFD51Halc0krPTfo96wwuGH73D1BPDU5CWq3QORJnAYGTXTH7Lf/P/90/cPd3hc138Z9dJ72SUq/4iyHlgu0Cm9tr7i7X/PT4zJzSKyH1ile84q8cwjRFnDEYsygA/lqJKWPMv8hG9or/NVQXm15wjs473l9fcrlbs9uscNaRSuZp/OdP+f5TuPsCSEQpPNYrmnYImcuPSt0K+cbAc88QA33qSLJBZMS0A9//Ec6rPc/fj9hPV7Q+onc/ENsOFwt+ijx1HWHT+O7yiTJWsi6W+i/HEzIXwqkjThesNHMnX/gxrxDN7PQjOX5gpnLmiKdgbaLvn7hKluQaD6uJi/MdTErszsRa0SnAx+9IHz5BAf3hkidzpulM/VYwo2CyssoTaKC9kKnJJ0xtrI/KfX9L1Q5+ELYoaONQCkEiVjJhhuweEP/EY4xkLB3wRg6UrIhx+NVhCQv2kN9B+Pkt+eT5fSrc/fzIJTCzoWZLFQ8DyHWms43tzzPWQTOW6x9nzmI4d0vW0fM7QYPFfwpsyjOuPPM8DJR+xNoz70/KAxsO9OjckXTCE3n36cSDrjlrx408cnATJ7cQZsV7jFNu42fO/oqp2zLdZdyp4cbGx//3I1f/93/Lzf/x/8DF6Y/MA3zqOirQ5YzcPy32rcsj7bsD4VNgiIW+VT6/7Qnjit3Bkfw3HlaRb4Py5hBxZLBHvpw9qsvcFsJX1jVzESPfvCfWgTmvqHLEHiLmueL7b+TWcZ96gjmjLiIZQunRNXCZ4KtnO8PFKOzzTEHpDsqoa8QqIcwAdExcyImHVWXUFT/G35LDz4jd00nmU7QMtfAhJX5WpRjLMFSeuMLnzPt/fOShXhHV0doEqUebgJ6ASlDDTer4poBTVpeWcI6UXDkBrnR0zXCXP9GmRWEAkHeXYAz++REAeWn8ko0gnWO9CuA7aEr4Ecp0zbkF5u7MrpzYceC5y3T3M14a2cEqZQKNz9+t4KyUCJ86EDwKdDxRup7JX8KnZ6QAy7DD1QdMfaJcfs/lybB6hkcD7jni9hHXJpr3NL9s387OMYthOEXauCHmHXz4iM3gPnroMl3JdHNh7B7Iqwp9oXwOxDIQ24rr38Bur5j7xlm/UqxQQsd0m2inDM8Q4xtEn1EeUDxCBYXwObw0GSpv558I2wH//fecx09MUfkmBgjkdSNdRcLnPXMM/C6/x7JfLKfA9w8Bqw3KkW/OM0sm7RYvrK2wMhPzqaOp0PdHRBpRDN+6jnOXMLlx8ZNypZmkmU8omj5hJAOG201Gm/BglO3tN7w2ht9BLTfMGObzgRAyhMJ8M/P/Y+/Pdi3JtjQ97BuzM7PV7N6b8IjTFSspgmpKpEhAzQVB6U4C+A56IEGvoCfQHS91Id1KQrFEQqWqbE6eE+Hd9t2uzsxmM4YubEdkJpnIc1iZkCIT/gMe2O6xsLYtM1vT5vzn3zw8RUw9slLujlf4AyT3DHpCUyPna/JZo/qKPfWoCA5lGE4wK2GCy2linxKaPDfbwJfHyrE5ePMNcf9IyyP33ycYN/QSSNwzAaKNfn/PlkhnG+bnNZfikWD8cH7Pjd4yqOfLJKTUcKmxd78llsamCjZkKo571zFdzLyKwsYL87gE9oc+0vHEqW055HO0PTJ1O4o7kd53yNFR2zXtzyoP25nnX1QYPOEQ8fcdh7jkKmGg49L42SL8336Yubr8wuXlAz/sGsU8cvCc2Uy3nQg3md/9bs3BjNY1QszkS/i4beTfR5w1hv6Rt6VytJ4vtqHrnlhb4Lyu+OFtQstEODzTHht7B9PrRn9ncPS07xM3xSh14FBfwy9ukVaRB8c50IuwdsLnm2+xVlk9fqYCgZmtHLjH4Z3xXZp4eGu42nH18QJ4YJIjd11jlY+06NldnSNOkNbovvCTghPgzO6QzpjfGfP7HmZH1zVy7jCT5R4pEykoN99OPB4CYw7M85pMW4pCOijbQgsNMpT9ayxHvkn33N/AfQcIiwoO2Ktyxh3bHDj9+ZbaAmaB8z9fsUknUndimn7HAxeMvIPuPY+iHFLh7XHiwS4ooedX9j2Pr5XTK+PVX+4o3vHFR4Zpwq6/kNeB/vfnPKnjUB3t2RGmmTBnyAe+a453tubi3f+CV/9h5fp/kOkuFM0983H7B+dJfzQp9d+eA3/lGf5/g39Mdox5njgcTzztDzSnTKXSXlpXvuIrvuIrfo74cYSttWHe8C+13T9HOOd+KpT4kZj6x/SM+LnBbEmZFSdcrFasusSQIil4Wm0cThOlKXMpzPnvR0qVEll6tRwrGsVlmmugHisJ5oEhH0i1LkHS8YT5ieIbs+8pqdLijHcVR8Vro8WMtUXrNWsHkvEhk5xQW6C1gZImvOgS2qqGORhDQpoRDdZEdlJpKCayhOaKEpjJuia3iJUlJDrgiGWgrhu1eWTsiFMPTalaSaKLV2iCWmZiU3ozXAsU5zh2FS0RqYr6hjpDnUIQwri0cJnvccEIsmRlqZ8xc5xY5qFJjF6UZ+loJGhCsMAQYHYzvsv4IuS5g7wmSWUrR45Sqd6wbmBsjloL0jIuNMAgVywlzHn61nO0xVbpnCDDYqvQKtAZxEY5euKgrF3ldHK0LmBe0P0BceCcMW7AaWOlM9ZYMmqco2emyEwhssoO1wQPfBgL355G5vFIzo6iniIO1YExTBAm3LHS5oCNa/o6Iy6QQ2JdPKlAbI2Td2gNSInMoSLW6KviWkf1hqaGL4aZks0xbQxyY10LWTvEKT7MqJ9xzi8LBa2gDmGDM6VWo50EyooihbkrdBWkOY7m6dcVn5SYGic13KyscmUnQjYjq6E1EELBDROUAO1FZTb2QCD6sARaN4fkFWKVhBJxnCg0B84bqoEKZKeA4GxppHIYeNj1LxYaDZxaQKvRRAnWcHlRsvy4xHEIKyJaK+qUNme65hESNU1Irog6cnMUOgSPk4a2QDFH22Z8EsxksUq1ijRl8gOdVoJVEjOuCkqDqIu1UZcFrsuLrc8xEmolZNA4vLRmGU2WMcs5ZfDKLMbkQIqnuoZ0EzFnXAlI8eimopOho+BaxmWoIowOsMZaZ9IIWhwFR/a25Mjo0qImzSHuRGuJJkLxnk6PODKeRq0eVUdTT5NC8UINPYMrC2nsB47DEe08QsSJ0gQykdg6xGXoZurs8A1SUzprNJEl/Nkyqo5SExFFZRmnonaoU6ZuRLsBaqPOI+UlscpMIFTwlbZJTM3jmqfzA+iRVmGeOxpCE+itknJDzZHjBt8KghFMoSnWbLE1DhmJxmAHcqrgdMkBcg7E4bWjDgWVSp0dEUXUo/NqUSj6Ce0d2gp4xUaH9Rk3VOajp1pCW8BZpnjDxKN4St8gGlo6VDNqldZF+hyI1TGLok7wOCT2mBYaBVPPhGDisdEWW61zrIDcHLkFOG2h5sXuaBMmK6CDnGhzQFPFy4ybF9uwWE/QQpAZGaCI0MzYtz19nlhNjdKEZkIwo+8NcVCKLPb16piap9+D+ky1A6YJo9I0U0SovmF+RrVDDfAz6hVXM32FedyAr+AncDOgUIQqINLY2ET1+WWetNgCmxo5CK1tQGfUOTQ0mjQmUyxuwAyrE82WzzRqQDZQaXTzhMlCyLmqFNcQFC+gg/y0l2lN8RircWlirS9TtGgVA1qY6aoQDKq+bH86w9aZkkHtr+zhNEcxcJoRUaZNQ+jxVchDRsShwOQ9SROCX4pvxTD/0g7bF0wM/wwNI9tij25habGcrKPGDosROWXCxohRliIBcxRz+G5CRHCtceobU/ZLpiMOaw6nHX9yE3kXPK9Ch74S5lZ4//7I9DQTZkeY/B+cJ/07KqXsJW7j62T4K5b7QEQ4Hg58/HxL7BJnyfOw26NqhCBfd/a/4iu+4meJH59jpTWaKU4XEv3n9nQTEbz3P423X/Hvhh+D7WGpqnfOEYPnl9+84mLoWUXP724f+HB3YHcaOc75H+T3PtiahKcTxxu55xg8uxCZSdi8heOWK56oVhkxdDDUQUX4fHkNbgR7xqUDNME/J6bXhyUBmEgpG0odOTHxGye0OlDKJbz5HVRDTomU9uTU8XF9Tf/8yNACZ3bOUZ5Rlon0aYxEVQaZeWRDqz1yPGPuH4kWeVUuOX67p2Xgfcf60zn4ial75mruCC0wm+MhPBMcrM2xrYljFB7PC/ZxgxVo/YnIiIsT+RrkvUOsQ/ob/PmiWFR2ZAq1BYRzOikkqTjgGM45MsAIv3COtcw85T1peCBIh+RfgF3iydzwPcTEmBKsL7m/9zDO3MhLThZwMKMAzjzn5Yp8yuQ2Lw10F4nWO3ifkSRov+weX1/NXPQj798nys0lOgzs/s0X1M/4rvHpNVw/Ny73jZaNQ4xMITCIkDlRW+Wbj2dobJSU+Teh8YvdZ8bf/1skfMM0ecCR8xX54pHn65Hu949wPEef33Bhv+V5O/C0vuCf3x2xdiLLiVy+I+VKvw98efPMuRrhBPTQYqP0hX63tPiNwTG/mjnfFV4djvy2/Iay9XB1BF/ZolwRuL8FVweiXCLyiXYy8uOAkyvK9sj+9YF/9oOAJm6t51c3B7pBcUk4zIbtYXVy9C1hKsz2jIwdsnLIzYHzY6bh+RI7ysMrgovEHrLdMgM7btjYR1ZiXLoLfh+OzKJ0Xc88n3MCWv+EGHSquCnjLFKS4/ha6Z6gjZEdb+jkC5Ejq3min5cA4YceYNmUOHcb9uOe01gZn/ds5IzYR3a/uSfaM/4QqGNiJ+c45+j4zIkNzQtyfgcp4tSTvp8I0wwNcv+Gs7pjXTMTMzbPEKH+c0d5iLTsCNNEsw7LgcgDruXl+pcrejMCjSeBKAc6OXKTCl+CsXMwzQOhOxGHJ7oPhsYlq61cF2znaS2xOZ2o84Ay8LSa2XLkdX1GPxqPtuKRDauU6GomTZnT/B0ujoT0wDSe0bxSY2Izfl4ayTwc20BrgZw7dkNDJVGL512Dznq8v2Z/c8A0ko6XYA8/jYmlbKA7wPmeh/ueDXDtjWEsqPWMXML2C6UlnqcbfhE/ob6RnWddzslpZr9+hu4trRYONlJzgBqQLNALNkBxxuc/7+nnnjerM56eGnNrTDYAjeQyl/GAL5DLitPpGzbyA94tgf5wxNmS0TRfCxIzF+3IYxLUoJ9nxq5DXUcsV+SzHaWbeJrgFQs5//BwDumO2B/JXabFJWA+jYl6/Yh1xu77xDxv0Brp+3t2cqL5xqpfsb+p1A740xuO7ZE5nJh/YVw+JrZTx3unTB4Inpiu0PIEtZB2if3K8Rg9sjPEGy7ChSRmHKM5Hu/e4MMzIe0ZtyPUFcwJRw9Hg1Mj9p8QFHB0+ZIVTwzuQP5WOEwwHxTCLacx8TBtGMeF8A9dYziDY/Y8fIlwPaH7xHzfc/ZRcRyBE8X9hmbKPDvuhkYbJlgdyJ9/zSRHTv0tCnTNc54jh/IGZ0dW9pE87H9S4j5HYysj7/LMbjZm9YzAPEUywjGBP6wxAmPfwWZiFOUhG0PXw9x42h8Yj0ZVY28gr6FryuVvG4e+o4mjO4yc4gyp0XeOei5YAJogGnFHeP0h01JjTovdbyNHlMYXb2wnIajnzl4kkqkhN0/MDwlyYE4T3bg0up6Avj5DbHx647n6/hWreeDxNw/gMirKMXWUcoloonSfgYxGI3+bOQAxO371ZY3TimmGYpAmNAU+22tYD/gejh+MYMZ65TjZmrlCNSW8FWz0uFPg7uIAuzP81PM6OJ5Z0azjf/sn52wuBLeCf62f+H/+V4/81//vJ7ioEE8QRv5Pf2Ce9Ee3721WPapKVaW1rzu0X/E3ISKoGa+uL7m8OOPh4ZHDcWSc5p8yUL7iK77iK37OEFl2EVX1Z0eke+8JIaCqtNZ+ypT6+hz+74cfVWYicLVdcXV2xna9ptbK4+7A0+HIXAqqhmJ/4/yWUv+df+//+j/49zg97jk9HihUHv2GR79lm3eoF2oQIgWwJZz3m4wbPWHnuUSJncN1nrsd5OLIJUI8I7iJJHsup0tynNkPR4jXxGmmPzxz79eIV7qwKL2GjXJ+bXx57+hm47oov+Mt4ibW4QuP644mCa9rXj8/0jB2MSHSICm6UXJqyBxIDz36aka7hjnl298DxfGYPA3BerBLI915rEIJytllI0bDoTzfLcHX5uH6dIZifNg80lvEK4hWxrmnJXDfHkl3gTAtu+/HiwEDVh/2VDlHg0fWO3Te4Kqwrk+LvSRETudvaNs7cBPpvkfrEmjcGLhsBzrLPMa4WFJYlFfjesS6wlsnjFMi50CrRjxT3MrYuUq394RxCcvNdolaz8BHSt3SrCeuv6BTxHICEj6OSJrQ9Uh7+V3fBUcsBkX4s/2K/+V/9Bv+p//hO/7L9594uPvI4eEOnV4T6kRqE2+PbxA9oHbgo51TthNteyLuzwktE3RRYLVU0T4TxkBogjc4vSu0HGiHhHv2yDojlxNxH9lW5bxWfncRsSrEWZjPXiNuwusj4SmwyZGr2vG7Xz3RsuDvIq+LUoLx2MPbY2Jsjo8K3313BmQOxycO0xkeZSUHqiyGLTPhMmcqHffhGlcmnCv4NDGOHeYSYbViO37EUub5JuC04DC8C8jBo3OijBfEeIA0U9YjqwcjlB7cN5S3t2iY4TEguiypp9Dwl4pEj2sXvP10oNdK/a5DPk3YsTIrnFKgRcFvKv5JaDnx3L9iVe7o24ktji/ccJJE39+z2VR8MJ6OHkQQNeJ+YuqV4iM2/gaXPiP+AIct4PFivOuecU1oTvjwi0i767BdoO9HPAZm7GPDTee4siZ2j9RhRvtM2kJ9WFN3PV06EeqMr5UWejbqGEz48vaEFZBZkCmROyUncI/vSHIi+T0ADUczYVtGoioBuOu25Ca0Cr+UiePG8XDmufh0jVsrdjkz3Z/QZpg5RJT1mXF2bTy8h9Il2tlA/jTgdCb5A7RGXRnlQrHTO7pxZL3/yE6/wfpMOHvg/AuEJgiep5WnyVITeHZxpHbGc+eQv7zCXKVdP5KO60X15070uSeoEFD2Q8ZE6NpioRITgnPY2Ro1Q58P5HyNqcfJSBf3eAK+vMHiZ6ooY7khpQdcMHy6ZNx+pjUlfHxL+8UXSCPySQmtw2tALDBdTVhQursI1wXvPFe/e8su7ZjjhEUjzx2mjt7NEIwgyptj5WNbsRePO39mvYXQQxZHf+/xo1CulbYX2ugZdUPYHvFdxj3Hl3ZPx3W55CE9cghH+tq/KL8d6XhNiwc0zMT8CnUj6kca9pJppJxKILhFkXo5ZxxLCHeQwiEEjt5zMymzh1OE6fVMA7R65PO3OBVEGvWXt/i6IZ4uSLsdOTSmzkg6s+4bZ2slfG7scsd9XeF/OaKuUZvSP0bElua38bBChkq4mNBtZbs33nwS2i9eMebG8+OBU47Y0HBXI2+qoV44dcKr+A3jnPn49IW+9KziORebd6y/fOCkEx9iBme01pHLBfJ6h9dM99S4bJkmjkc3kK9OWHW4z1tu3B5BONgZp6uIepBT5e3mmT4UXID7p8TcOtqw5XJ3j9TCLiXaTQZrxPdKuXFYcPjnjn7ORGt0EfauY0qO+bWR7gU/vWyazov1L2xP6OkSWsRv78knh1ah7yu1D4g4Lp5mimaaU/K2o5RzTALx6jM1epwIb44Thzky5Yg7bOn8Ce8zkxfOrdKjfJKBTan0Wtm5ysg1VdZc3PxAnhJSIv+bd8b223ek1695Ogv88P/5xMc/+8IMjGNjmht4o/iZ4jPt9u/OQv3vrZTywiJfA3gJ3OJvxIT+/PCPqcHuHyuM5dzOc2a32/N8ONJqA+Rv7Ex/xVd8xVf8nPEz46L+O/g5Emb/GPDjOXMipBRJIbDul13Kcc6cxpHn08hhmv+GNfIf6tEleSLEQjqvPM3GTENlxhyYa8iLKkrVoSrEKeBmJZSG7wpae2rr6esJtWVXPGpDTGjSEWm05tFpTTZB2xJqbrWHkGn9hJsdrQjzwVGLxzeYDXANRBeyoAbE+aXmaDHCIOIXG0VrqB6x1pb2PDVyU2ggzjF5w9SYneLNo+LIMYIrBIP1HJAcaKaozHRNl2NQR5WGiuKtonOHqQc81oNLiq8sCxXvaH3AiUJtEJSShOaFKLo0zDmBThaVlRiNiuSGs4qb56XxTjwnZxQU7MW6+NKI5qwizRZLVIBaoNWX71wRbAZdL+dLFcDjWgEViutp5hdScxqQEJAYmA5C0IBvHc0yGDiDo0aiVJxveIOHhwN/9rtbPtx9pJ6OSBW8zUuLVxGmfkLahLUZy7AYMgpZA2aKSCFoQqXRXMMnj2XBskcnWTJISiNrj6+NblYsC5jHxOGKLMeuhp0UCw2NBegpIow+QxWoAbOe5vc0FzAGjkNmzgpTgKlgVtBxef8qnjEOREYEaHQklOAiQ0yMdbHdrfVI9QXFcEWpDaw5vDZQh8NIrSGzoLkhOuGkoNJQUxoDZiuaJrQ5vAnrbFRTihOIkZRnnCpZjFmWTCM/pRfLUaFxRCUsdiiDjFBNsEloXaB2kZYVsfLSlgU+CDGy2PI6wNtiXQ1CTnDSA+YbgqNDaChiSq5+sRmKsMrGZEZ1RmthGRd8oxsyVQx1gri2tEdWY54DKhFSwrTgXaVLjV0cyLPgqqFuJKBENY4rI6B0zUAcLUSmMMC8tDtihoqj+oXAa6qoRkwDLU2obyz8UKOqoNPSMkZUJDVa6ShByVKpJpRilFNh3Rxoo1X3UkjQwBUknaCUxcLcFzQutuB5iDTVxbJkgeiNbsg0HLmAqkekYKbYGHFFMRQfPIM3vFNqa7jiMA1o6QAPvtHiiWAdXoXeCeYLVRYLrzpZ7FhuXK4BILKcGzHFk2FOmBllyEjxoAnpKzIurWwtRiwbNilUT549zjuKn5BYCF5p2S3h1WrkIS1Fq8C0KTAaQeuy0K6yKL4cWFn+7ueCtICYW+zYClUF3/oXi7UQ27xYP62x0kbxUJ1Hz6A5Q12l+ZHkKskbJ5kXYrGCt4DoYqtWX1F1mDlKUIpb7vXcZybvmIInnxISG84rK5vJ2pFd4qwItQilQNEGrZKqYk5pXimhEVn4MvNgfSZ6z6r15FyxSXBjQLoJc56a14TxiJXl2adByCKUtcPnHpOZFg3Ny4ZIbeBKxZe2NNcGxXeZeXNC5iPzXJZWVRVcM1KdKS4vRRBOKAJNFHUz5hQvQk+jaodHWIlQmlHUoaWjTR7zjSiKZrc8y00xXQjx2jpcrohr2Fow59AWkbZCUZo3SmeEogwV4ggUxdSRhx5rDpoh2dFUULHFvugCXoTY6jJmO0GkElkaPWsWpDjUHJIbiKFBKA5aWHIcNzLRmlIR3LlDD1Bmw3pFvdEEagJrDaeN9Tzwuo+sLyLDG2FeV3Y88f6T58vtjoeHIzNrxBlOGqEs+XPKP6B9L9eGX74bRL94LZv++H/tr03k/+EmcV/xV/i5E2s/HtFpnDiNE7UtO8rO/fyO9Su+4iu+4m/DMs7qH3zd/z/wo8LnR1Lq5/gc+LnhpSTn5edl0RW7yPX5hov1GtXG/e7A4+HEnMtPSrm/fm7N+AdhKt//8IXuDfhfCrf3Rs1HyAcK64VseakWqtVRSuTqwxqxPcgj5Vo4nSKH5zX/jB3SFQ69EUul1RU5bzFONO0o8zk63jFJIMurJVy525EvM91tx+nY8fS4wkypRMQN+PgZk8JIj+3WONfo0p6x1SUrBSjlHKmVpIXpbEZKI84Nu+/RzmNrz941WqxMYWKoA1iCusFsR1LjJnd8/LRldg2X7vgmZ0yUTymyiwcA+tIz5S2tBWDCvXvGh0p6nzAB6Rzx1QZuD+ipUfsOvUhYhDlnxM04iUzhktnv0FrovtwRn16IHVESgHO0Hnap0MRYVSiuYK6yKkDuaDny/HJdfrwl8kmw2bBoOAohCDkP+HDAqWearjBbKhTzfMbFJQxnyoc/3VHrgOpAL3lZjJnwZbwinD0TVztSV/jLjx/5y48fmLsTsUZSi8AJWBYiH64/YrPBCS7zxGyVhiDTgDiDMBHyFVWesHAkn2fCc8ew8xx+WNP5E9t44I5LVmPlaoS7HkwSaolwH8npyLR6hodnGCruCooN7F1jdiPuzqNtTS5X3HcF7Tpyf8WX/rfY0SFzj+xvEavEAsJIs4E8n5NsjxHJ7hwh0Q+e16/hw4eOlCuvSqEmoWomTjPPtsVKYnhYVu59U17lzF4zlQwcGenJCjYbk71C3ApQ0lOgx3OTZw6qnHzP6N9x/vk9wSYe+z0H4GQdqx9WPBNRCpccMVgWhMeOqfY0AtiJ6aIj95H85YTYuNxLANJj4oCZeq74BNtHR0hQV8pfdJ+IYyJNHTdSGW1mlspTGjCBYMa37zOPwXiOkXFck9JMCo3NxnFMjnFycILtLAyTcHuK5LOAvQ7Mn3s268p61bifznhsDqoiw56LDJtiPF8Xts9w/ehgXbhPkS8+wuGAtYWY8asl/8cMplMAS4jruI8jSCa2iRzvqXNH3ncMA8hG0atK3p2To7Bvlc4m7GDofeP19Wfm0nN3OMf1eyhge4PhlhY9Y99hrx/x2RGfOnbX55jMUB7o97DplFevCh8+JPIY0Dky9Bk1Yb7fLJlMHvrScb3KNBNuTx2xCdoi83wGrlss0JsnZL8j1cildGjckWk/ZYqZQU5ffvrOp+7lZ1XS6T3u9BaSQ958Qu/PcbpluBrRbCiBvL3B7jIyVsxm7POS4/bcPdAPM8kr477nWk545/gL9xYyZAfTOyXeHegPM+QOy5BZ1lczQnZK/KR0UnCu0XqBGXTqmOZzABTFyRf6OSMG1y6zWxn73nN847CqUGfgE9t2xsYGnsOBdmpwglXnKTkyz4nnlVFKItcIwy1JjWTweG5UaRRT+HiOX8+ks5G3fOZZXvHAK7790PNoxkcb8UOmr5nuWLh9DU8edhl+mQWh0vUj2cHgV7zy1/z21ffYg8M9ReTNM+QN8nBDOFaqa3xJMJWIBZBL4eywoTrPye15niJSX4Qy8x1OhD51XGxm5vUTn852WDLc3hE/LSRJYCLaM4foMPMYiS/n0GiQG6539K7xrez4PW9xeH7pjpT5xMkic77gWRIZ5Tpn5uap3ujlidZWFI3knLj4NOIG4+k3nngbCceeOV9BMmQ4kb/JvPmhcn4AjjCaMqXI4XxDYo9/uaYiDryjXGYSRjw5+nEGOlpw5C6zyWc47TjJCbOMa42zT8rzqjH28HnlYF1J1rjaZT7pGTu/5frmyFzhNC7z4GMIHJxneq3E/Uh/aJztrvkX/7zj179J/PmvIv/qwyf+7Z/9nvRvE8NUGKpxkEt8OOBDYZUz3iLC8AfnSX+0fc8FzyI2FsJfc2M1XfRSP2dS6udO6Pwx+Ll/hv92zknTF2vJz1pD9xVf8RVf8Tfx4zj2c1Mj/TjGqv48SbOfI8xe5ieqbFc9m6Fnu10z58I0ZZ4PR6oqqn83yWe2qMK1/d3S878L19steh6xbeCbH56JZ2v8+Yr6uweeEZ58JOdXqDbUMuHmCUJBxPjFwztGKzzJiM6Rmkbq6ohfe3AOzLN5CHQF+tb49MsGcyA8Rl7NywJGQ+XRdbQV2Jkyf3+DV6VLJ17VkSzwGOJCqjhwKfON7im+cpsq7H+Jp5G6B+b1FU4r3fFpURhZJNcBsZ7OJi75xKhCDZ6yWlHCBX1tfLO/5YeVMBHguCYiSF+ob3YAuOKIT5Fp7AlqvOJAS40mRs1wvBRaJ0hyvLmPuGa8v5nh+R1WPDr8JWcj+JrYyyvs7QGXCumjkOZzEOFw9ZE0RlJ2bHPmjo5RAqtOMVGcKWfzzG7rGIPHHi5IMRNeQmFz7lHzpNWeVraoJfTVR+Ix4KeAmUc2BZ8qrz55ppUyroznNYRdxB8DIm0hpZwxv1IClVgb8T3Mlzfk8wvC7XucLtaZizewf0rsHhNsI95Ggp4ovrApxqYaj35LXVfaOsPuktUA67Wyuxvp/JohnsMXyHJgis+cpgtWNnLOM7dygwtKF2aaCSUUcpzYPjnaesP46hL0Fjn2uIcLvuUDo/V8sRt+6WB2jlsRUvcRUsZ6Je083nlc7+nvz5iqcW8TngYSMNmwSU+sXeHSlA8SqUCkUEUW9b0ZzRxOlVQm2pWAONwxYvOKFhrzxRNh7PG1x5dzSjhiL+qWUlYQG+HVHeEpLmHHLhK0klLj4nXl8T4yTw5nnk3pcQa7tEdFfmIiz+eKeOPjd/Dq4ZqYAx/PPrB5Nrpp2aw/9NdUiXSnj0zxFeoGbqYHytBoQYnTzL6DHBzruSevZ1pU4q6ndpWWKjEYrV6idUU8PqOXBVlV3vzQeL4MHLeebS7YwWOTI18X0l4IB8cpJGyVsVWhDB3bO2P9CE9bh63BBpAH8AWSOV6//YaHtudLflzaCnfG+tmQzhi7Lad4xpvHHdEqThpfOkdzLPK+JqzN2FrjiwTKmVGuFD0odkqw7xn8vNTXK7xuI2PquF9t+e75CdXKCeXJv15IYn9iOp9w1dEdOq7VMYXCbT9x9SyYrJmGV7ypnwi2tOg9l0YWT4kdOY0IQlcTQQyvSpoKT9+usQbd+5Hxu4A5IT4vTWkOwSPoxYx5RbPBKREyrHLmlBJlEMpNIQAuC/5LoBGIGDd24l56skHXJmq7ojIw+QSDQpwR9wX0NakGfnF4jzijJOP7bxxvs7JpwmyBp0OkNuHmPDM/VvIMY9exrZWoykNKlHqOaqQLX7is5yRLfO7ucSXjrFLfRM52V/Sngcd0y1wStToueQDn0RB5+FXCHgXZKZfs2UgiSeR918hpaXobdgNDbnTa+PKtod5hCOnOcV6UdYXv3Te01Q5bPdE9rdC2pjHg+x/YJGEdEw+fr8gKVRT3LchRkUeleMVoII2udrhQ8THzmhums4mn6x2uZlZPcH7n+P13jXBybO48p95jbhkbzPtFOotStw21Rp0za3VYEPIg3HxQisDTWvDHM5wHt5pBQVSgCDM9vhbW8zP7t29oLsCxQF5BmLHzT3wXHP0E8gW+fBMp4oj3niqGU6WfG2O3HJs347xc0ZLx+dtb0peEm1/UWy4ADtccV+c7QPh0ewOMuFBI64yFjKmDx0s6fYKQeb4IuG5RJq8+GzWukMGxfXdEP0CbPNO3l6zvJsKp8NyxtEJ6JfbG7BcLrM8b0mEht8rQcd4qnSo76TgNSonGao5QFVtkgiBLbtqpeP7Fr8/5978557x/w93hd9wdPvDbx458HNE8c/XOc3h2nA4e+Qb0ILQD1MsJtRXaVuTvP/yd86Q/WinlBVRBzZZdmZeg+R/ncUsj0Msk8MfJvPw8KImfI4nzTw1/fefezL6SUV/xFV/xFf/A+LkRZT9n/PhMcuIY+o51n+hSIJfKOGVO08z8Y0bU3zpX+avNNveioPr7IF+x2EGOy8KQYtRipKAEcyCGbTN+qnRzZoqZQKCrPRRD45IR1Gp4aXnyuOZwzQiWqeIIzlCr4BXcctydZFQ90zxgPeAqFgsm7eVPWdqBPAyxMc9LxbeuK/Ohp2jDaiW4jA8Vv250tUFbrAJxUKRVpuNMwIM0ikCix6tg00wchIAwOqNZAOeQbaVNHo9jNQ+MOKwa0JB1wakSTkprDvVG3TacLhaT2itVPJHF8kSdoHnICdciKgH6ulj+cOja08wWR6J5qgZMIQVdFE8OJHfYMCNeSSKILY1NGy0oiomhnaJNsByQ6ohVEaswh2Uh8dL8ZEnRwch9ZtZIPkVCNATFwkzQlzY4hI0UrIJmR/EVtYqrBZ8MmRVXIc3giqJmuK4u1ko1/NRwASQ6bI6YNDQoTjJaE3VMSJlRjBIKQodKh7g1azIuFE4R1DVUBTQiqwlQvHp0aFhQ/KyIRqgOpC42jyBsvdHNhdY8noTzDry82JuM5h2+H0g7xXxB0gyTB2uYO6JkSquMtliulMAka6KeEFGa91jqoFZCHmnN0SQw60DwDvWN4l5iRcwtFlP3hEmG2hG0QWtINqr2YHEJHV9uM3TMNCrVO7BKU8EIlNUal2ekNaQ1glW8KUMW0lwI2Yi5EQP43jGPa3JTqp9JziFqiDXGvtFksR8G85hbrk8tRotCS0udu2u6jAfOo9VBgaiF2hQtQmkeNTBRal7RiqM1cLWhGWoGFffSJCfIyaEUaleRMiwW1m5ptNQATYw8H9E24ZuiGwfTYqOqrtFoiDZ6Eo622E3pkbZYKtNGCM1oebEZ6qy4k7FqjSqVKTX60mhOmcPyOt8amzaTNGFNUMu41qERWjIYHUvNmtFawzB89RhQMaaWmVoiBZD1jExKbBBaoZlgLGTF3Bmhgc8OLQmtSgOs2NKO6SK4hin42UN1y3O1Ldk0DkdnGyYWVWWMhgpYA98U84sFKgfQ2DARalFsatAKxhJgL92iukSWhtRJIy43qhlKYzZHwNH1kTAZrSltUnwzOgz6hs2NXKHXnqhKI5N7I88K1WgtItaW+6orVFfJLESMvjilZvN4PJiQ9jNl7LHcYf4EFnBEBqtYBA0sbZHYkpXUBCwiFhhqJlQH6pdeyxJh6nFii/W7GZk11c9Ymmjn85Kl1yLqBecL+IY3w+vSZDi5HucmSCOZQtZKPVbW2XBZKB5c9tAc1YUXogUkCKvTcoxTZ6SaaQ0ofhmjg6EmFPNUc2hd8sR8UYaDMhJpziAszZgioD4wTA0Tw2pBSqb5ytQJ4QhMjoMlasovg4fSCIhAvyqcWqCqw7xhZHCKJaN2laCNVRZ2mqgWiBO0lUOCktYTLS/WZJnWtAFA6ajoCghw1ozcFmt/s0QSJVplOMCpCeaF2DcIi9UumGIKhtBlRZNiXqh9I45LVptrDmuepkKOQtBIqKCuLGOSLfZIukgIkV9nz7u+5ypG9oeZ29PE+2nicVb83IjZM41xsUALxFZQW7LynHYM3YoUN39wnvRHk1Ir75lR5rYk0ossOzgi4J3gRBaPserisf+xHfFrbfU/CP4xnL8fr/XXhdNXfMVX/GPHstHy8xrLfm7H87OC/ZhtuPxVVYnB06XAL15fYxilVn7/+Z5aG2qG939LxoH99B/AUIWUAkNK/93X/vdA/U3FfzTix8rUlNN+Ypwbv1oZVKAa/OITw72x/mjcYqxPWy6fb5h5zxRn8qbSV0FMkDrADlIpDEXZ9Sw5Hz7RThO+/NXca7Sez1zS84A2yNkwm14+oXAfIqtUuRwy+6Oifca9feLuT7+BOSJA7B8Im5n4prD5swdqcZw6WF1XSpvZcyCUkSbGbYRfzze4quj8nsswU53jS+po0wVuaMRf3OI+dXSnnuvPr/hAIrsM6Rb3ZgIzyl8kxijklZHfZla/a8TJOL3yPHfQV3j7RdDuHgmeeDrjQ3fGcRDS2zvki2KjkL9LwAl3rKRjYp4CsxmnM8Ndz3gP/OkN7eYezibWk+Ppy0A4eL6VHQ9E9s6RLzNWQfJy32x5ZtUUd3fBcyycwlL5XUOgdp7TxQjP57jDOavDiXl4IvdHVhmqJcwC7w7wlAPP2XFcVVI+kO5n5GbCN8Pvjfje4cwtZN7NAfVGacbZvwF/LUyvPPnfXqHlGdqJLhfKIXIqkWGAOo+UeWKyb0h+YBV7buS3PPeF2wsgHWG/It9tkbcHfIbuuWO8nnB5Jj0+INM1uIKlB55wrPvAu62Dj7e42pN4s9zo2SElMb/LWBRgQ+3usDjjXxXSh4UomMJE2EMjcNt3rMcJ08jR3bDWv0R84eQ9ZXu22EYPe+Yp0hiY53Okf4QwQQGWWDNGoPkMVFy+5MIOpHlGPhmPsqXIGhBUn2nzieeDctoqOfJCiIDzA/niNenxnlCOhGlCRXAqXPxgODtiCBf3kN4K2iWevv8WDe+RsKfKCm9HxB943k6kUyJkzyktC1oJL0pXYck+A7rjEuuWh7RkJtVCtAl5TLQY2SXIsuSCHT+/wbSAzAyPlTF7inlkTshGEVexH845rA8cLg4MO0AUc4W8WgZJwTh8+EjzkdR1zK8SpWscu8opVoJO9BMEXjOZsbfD0rtWK6Fkrn/lOY6BL/eJMff4Vumy8q4X9ivj9iZz/ueZI43nZBQRVnPhsjTM3qAyM8gjjkTzkdwP8JCBCdKOxyRAoCueOUFzFYvv+TR9i0+V9OoL/Sx0B2O4zTTXL+o6gXpZaU2w3NG+rGgNCga3DukEvXbgRtIs9Lue8dkw96KAFcPRMfCaPbd4RnpgZ2CmrHLj2HXkXnh/A0RDnJGdI34aYRyxOCK9QHyx/fZ7io+8H7akxwnJBTtWdidPlo7Xl1fYYUedJu7HxIVmVr6xPS98OCmnMfDrwzmee6rf89sNPMszbkrM0xaNgu+F2c1MVMQyPeB9xnsodBRATFl9mhgZmGRg6kZWdYuvPef5mcZCtIV5Zg6JMXTER4N6gdY1Z/YXNBs4sEa7E5Y9crqEYYfzI8lNaH3HrE88uy+sfvnAfLxkfN4uBLpkYjoCMNTKplTe85aaMm0783HziXAIpNvIMDWKd3xJEfcsNHoe0waL76GvuLXj20PPmGB3aXz7e6jqeO4S0/mENsV2StEt2hLSEqnfM2jmPGf2msjJkGGmt2XjqoaOm8MTUfWlY/CZkxc+rx3ts5FPgU9cIDzQaWY1N46WoHekV9A+BXJ2DH1mr/eYKThP6Qte4fIgjAbFhMzM7ugJA2zeHskP0MaEzlcEjCQn3soTH15B7SK//tzz5agcWuTkXvNGPrGpB/x72MdAGRzXPLELkRyFrWWYeqR5EkdIAesc+vqZ1kVoCQEOwWO20EDb4zmJjrtv/5L+weizcN/32PmG7nLDf+6NjffYrvBf/8vf8eH8mcdzw90Ugg+058jj92tiysSYybeJ7Geqa7x6fMubdxe8enP2B+dJf7R979fX2xdiRHg4zcy1UZq+7AwtpFT/kuoOwpjrEpJn9qKo+vmTKl/x98PP1fbyFV/xFV/xx+Jv5gn9fMaynyNJ9rPCCym1hD3DZhg426zou8j+eGKcMlMuNP0D5/BHy58ZzgnfvXnNKkW6EPiXf/oX/86H97//F1s4CXqEfy0zX7Lnfk5YOUNcxqUT3/060x8hPMK/8pXV6LkcI59/WQknpX8yHi8EVwNxjgC00tHKgH77BV8g7gOunKgDzOeOsFekRlwbkHfjEpj77JlTxeoKN9+Q+LLs/BbHG8vUCE8rYY6KVEcaEzlvYDUjb+7pb3s0GPlVxX16i7lCvbilf+iRKpgY0SK+Ntx8xH8T8eYJt4Hby7q096WKfPkGXzxD2OHWiyKpjo7pasZH5WoWyj3UJuR1ot8WjMDu7i1Jnult4maeeU6RqRPqeeNy5xCDT68bmyelHx2drrjzI5Nr9LXHVHBqrOqJfbgku46BEYse8w4VkFzwpbCeT8wpkYfI/M5jHwP25HHO04eR3s28ssbTVjkMxgT4OeKLh2bQwk8B3bFNOMvsrsCOW5h6wvkdrkZ8CVyWkd1KOAxCN0akLmTF1iZCO0P0jPddoDGBjazIhL7gu8a0PyO0maATT/UM54UYDZHGRh3bFvjdzYROW/zhkpV/z0BmReU2dbRFJsOghyWg3nfgrmkxU7pnJBicPPaY+E4OeIHqHPfdTKlrdHpF6h8YLHNWCvW1MhM5jAPd4UglcQxX9G6Hppl5NfMrHBX42GB730AjudvQzg5o56DbEh4b3Rg5P2147h6ZMaZpRd8fYZXJN5lvPryhG4VqDzx1kJ1D1FOnJSD9nANPb66oqaPLkJ87FPBvJlqNWAZ9POEsIeJQX/BvEi4Y3cd71sUR1WMMmO1wZNYODt7IgJbE3Al443IqHFJiCsIpnXg7elbVcxsj6gwLnnL2Gn0+YPmEfz0iD5e4Q8+aD4yXjrx1+FQJCK45+ByXAGNvvForj2LsUEQa4Rhxpwi8BOJbproteMUclPEVdpGx8wnbPRKqJ2pAbzLhyQiPsH/n6Bz0CtNzBBUEh12u0KOgT8bZ64qWSh4r+voVzDOyOzCOa3Aelxwb/0SznqJnvJ6NHE48p92S7eQqNRYkRnx1hMlRSFT15BZ40/YkKs4Zn199g2olHJ/Jm0xXlIudcVtvKOuKe/tE/5SgGIWZ/iiIBFrqCAqdKuda+L5dkgVSGimvykKuPyXm3OPMGNzMVC9Qc5jNxFdPOHPYl29w3QPmMrl59OKEd8bwlFARPJGNXnJIT6hMrPJMLFfgE9N1Zr+P1KJ03Z6hlqXQIA5IUzDDnFG3hqWAD1doe8Tlws3nb5j9M8WPSISi4JrxbjLu+sopNFYjnPSS2daYBWLc47vF/ijpGuwM+d4Ifo/3M/P8ihD2BHegG0dGuWHiApGJDY7ehCd9RN9k9KIif/aac5QzKcAzTyvHcxdIj6/xbsT5kUMewJZCDP+rPWmXSA+JHcDFiLsckdsbVt3IerXn0+0FQz2xsQPHrqNWj2ZPkXN8nAj9jnx2ic+FdDjyapo4DnB/JvDlAidGTJX85oQrQtgFunXG8ppyuOZdaWQ3cxcPzHpJ0MBgMH57SzcXLj4L01WjJaMF44DHsiMeFrJfe6XeVLZ/WelnWIvwlBJzcEvA9ypDc8hzT28ntAnHsqaakKRykw7s3UAziHlCU8K7jq1cUepnCsYxvCVv70g6880djDSy69jHdwT3SJLGNec85soUMny3h50sVsPrRn5cVJEpRujqogpqZ7hDASr6i4wri7qtmhIeE+noeD2P1E6Yg+PeR9p5Qzrl9V45TpEpJ+b5hk4ziYpPPXMtCIX/6DLj/8cX2C+3fPnccfiLA9MPI+vR8eDhEJRv5Mh+M7JfzbTZ4fpzXNyQPt7h80znjP/8P/ufc548g8D/8f/8f/k750l/tFLqfOjwzuGcoxkcpsxBC+1l8mbGksvgBO8gOEEQ6sumwE+KKfirrcyv+CeFr4umr/iKr/ingK9j2T8y/DS/EPoukUJg6BMiMJfKcczkUii1/XfyD//m+/DyPrAeejargV+8usJUabX+vQ7xu6sLZABdC4euIbuZ+jRze6ygSiyOenRMFpCN52J3xDulrWdqWDb+MMeKsLTkvbyvRqV2Fa+y2NOAVV2ar8jG2ALeHL2r9DlQmzF5xWGYCdocLSrOKcE5qquLiuwU8NuGRxlUyT6iVPzJ0wzMPDoF0uQw77DifyL0FKVSaUFxAQiLla7THq0VEwHr6VpFtDFpY+tmvDOmGHFiOIVWFDQg6lCUgsepZzsXSohUMSZXmK2nVEHKM9WzBDU7oWmiNIe0TGSx/4XaFnW/M5BAh+KpIBVpgpkwd8aQKsE1TnPC8IiBH4XYHF5kaV6zhsOYnFFaoGVHw/BZ8Bl6NebQKEmxuliAwNOiIt7wosS82IJCaxiBzil4ozaHNyM4pXYRmyIyR2xOBMt4U2zlqCXS6tJGJhhoWJoLveKkkdThDZov0AJmjer2TBvFGcQqrLKSgSIKzUEUpGuY91gQLC3nTlnq1rFGRTkAHtDQqP3xxVYYMEvE03GxKs2KhqVFys0d/dpQWWxfOQ0UGiYjIh0iDnEZSwJekKL4aV7uY9xLBYXifUZdXX7OntpXcIbWJezXmaNpYHkFzNLTGUSrmDVIhkNY1YZmwbIhrYF41BwTx2VNg1DZMCWlGri6fGccQnCOYkZTZWCm0VFx5G75fJjgm6cKTE5prcNcBlnsrn1RfDbm6hBrOCrVBtRnCBWaJyqkKoyAOYWolKFAEVxxaFujdcne6shEtxRS1ZbJzlNCxIdIo2ClsplBq6dZXNQkLDlqfhIksDSB+h5TXhxKZbGZek8tQnPQttDmRpobfWuEJSUMbZlJw8vGwMzsPcUphtGcW5oqq2GLd5WoIL4QWOyq+ErzSg1GLct9KK1ncJk+CF2IdG1GmqLjQiqoCdkFginRw2rdCKPgm1FMsDRDdDBEvFQoi022L4vFOfeZNiqGQFfgZT1b/UiU5TitLLYg54xejFNa2gj7Q2HUhHqwNGOlLoo9a4QCLi+NpNE7BNAp4lxBvC7qJlWkKt5OzFXQkmhSqbIoy5osrXEBAZ/RqDQvUAJLznVjoFL7QkvAuAHfQXCoVgTFWSXoTKeQXu5P6Tyhq1QaZhUzpewH4hzoj5XJG7SKaSXS0UuhhJnsl4ZWXCO4ildd2vPmCiVSzePcCRNFiQzj8hp1Dt8y5oUSl4INTZ7SJfxR8WaLlWx2hCqsFGpa0xxYBq8Vh6DN44onZWOYjXmQpcXVZmbnyCK0lnD6o7s50GUlNF3GrLo0rFbnGYaEmqcWv3jp1aFTwpuCGJP3THGgBiBMlNYjQNoW9NChTRBreO+WOUbzOH5U2wkmggoUljB+xTFbZKhxseX5Sm2B0iJVPb5boiE7BK8VmjLnNX5SXGtobpgunIp1gRoW22gsPc375UQ9Tyjp5Us8oWo0B5P3VPW0KqyrcRSldkouhs2K1Iaq0qRQpSJ5zc2F42wbOXu14kBg/zlzvJt5PJ046oTzHaoJPyccFYuGBWFbT9RaUSqbZlxeXHJ9dcY/u16TSoEx/8F50h9NSr3erIgh4p0niOPWCaU1xvpj1Z8x5kLwnhQDfXBUFVxTStNloOKFlHoJDV2u31eC6p8Cvl7Hr/iKr/inhJ8bMfVzOpafG5aFkBGD49X5lsvtmlwrn5/2PO6PaFOc+9tzof628+qd4+3NFb9+94Y/eXvDp7t7Ptze/b2O8eJ/8kvCweGPjtVF5OLD96Tvf8fd8xfKU0d97nn/ydDrNXq15j++yxxWldtLQ2cjN4+kxDdtw0kLTyz2O1mNyPmOeNvh2ksws3fobJw+G5nNonJJleuPK46rmd31gf6+R2fHnDN5mNj0xqsBPniDfWP4VDE30KlxnjOHszsQT3rqAdCcsKczLhkxX3h+WOyN1bW/at9LMF4JlsGqAzrsyUEQZNVx2e7Rpnysa64GB30lbzJ9gJChfDYcA9oJebVnOq0ZsvDP5BPf1284yRrtCjmf4zJcHp94fgPzVnBJONYLDsVjmx/4ZnSsC4yWWQcB7/iQEmfrI9Er9/seswKSka3StULM8GV3TqISWiXeVm5qz0YCcE9rRlbhtuvIhxWlJEAhTbiQeVUKt33iOHj6nVJjpLgAYSSkRQHy7iioNTKN+2HgyldeS+N3QG+VlTSOl1t2zz3jnABhoLCWA3sG5txTSmK1OlKDUHzAWgQqQuUsJ+Zu4m44Yfe/weIeW7+nvPbsnLBv8M/+ojKa5yFG5q6DoSBni5pJdUZyJd52NGvM6z2nDFngOcKfFM+YMh/O7+C5p7YNJ7tmtfstajAT4Y1DmhAfPJfdspldDh2369domMG9J8o5IsLMgUiEDPI4k6aZqo0vHOhpOKd03cQYR6QJw+3Aw7ePtKDYAbodMAdyPsNspInyxJpvDxXvK/c2Y+tnOlO+/ezIuqxPohNgRZbA564w5wMtB3L+NfPVCYkTw26x7kHH8WXY8GakaWICZg+3W0gn8EXoy8BTmKgB3P4MhnukG+mf7riplV4a7x87Qt4jtudZvgN7QOqBeBc5L8KqCe87o64qbVP5GIV4DHTPiWl6R9UDzQ6cy4H+Wkhngv4+87AeOJ1HtgFmN1HKnndHeFDPnUVWt4uitPUv9fNARpjXZ4vC79QYnnZLWHmC3WMH14p7nel+/8h6bpyXSnQ92Q6c8h2fuaGmCVZ37MuK5hqzn1mVFbHAMENuiaTKkDP7vsfTWElmn3pyp+RVRj/vCbVH3DlvOeEj1PM1Z/dPzAXGlzEIOlw7Z6IQupFXr56w2ThNjtunRN0csT5R1jekT4qejHnueccjlgqf1mA6QgD/9gn51OEmR9c986P0tu8rZQ1J4NV94ferMypCOnyE+o4aBw6/3BN/+4ydjN0Ilw0inpMMuOuAuED+7TkpPePSTD6H8ydY7Rurswc+P11znDt2/QO8FCDkVSadElbckj2WhM45ZrZIqKziE+/I3F7AYxeQv3gLTbCkmO7xeiQxk3jPtl6Q2PJJAv4i466PqBuJVuiK4f78V2x3xnZXuBvuacwcS+Nc3rHRPSvdcxvv0Zcm0pQmtrWwrRU+Go/meaBn6E7UEGgWueEj4+mMp9Mr4nBP3ax42pzRf/mErD3usqP/M2XpCwTmTF8LN8X4dPmaKXvkwVjrbyn0jPM1/V1lrZmrkvn43DHHQt584G4e0DKQ8xl9/4iqY59X/OKj0oLjMUbSbsREsL7j1fqS2Tk+5krf77GTx55WbLjDvHLXdUz9JdYXONtjf3mN8wq/vuWQ3uCOyubhIyUNqPdM1pOmEYHFiipGDZn92Ue6XQdzD1PlZtoSfMfntGeahyUTjPnlXhMkR0L7QqyV+fe/ptgJ52b6TwtZZiEyhSvgFl8Km6eOw7qjSmH7uydOMtBIbO1E64wa4UuXyPOAZOGfyQOtwU6ELyth9VSJc0N5xrqGemOaJv6z3wz8j/5kxb9+e82//r/e8bt/9cB3fEbOwC6F512P5C2prphI1H2H2yvf8AP7eOIYCt9k4z/8kz/hP/hP/of86viB08PI/nD6g/OkP9q+9+9dnzE1ZWpKqUrV5c8SHLVsVOpfeysvgvfLbkL0ntqU3JTS2l+RU3wlM/4pwTn3U235V3zFV3zFP1b8SF58Hc9+3jAz1GzJjoqBd9cXYFCb8vHhaQkKVntp6YG/mnn8zff4ET+qwTfrFV1cNtiu1mtKKcwl82++//TvfKz/6X9xTf7omD951AvH0TicDI0naqfUXnFujc/gsxHOC/Xg0OfA/8xfctsyf1GOhLMjTh2+eSTOGA4l0F8J7lBxd5XjteHzhm53xSk9YW6xxbzpKqdOuV01Ln4QarflcPOGeP+RrgRWesE+3VH9TAuZOA7E4kiT47SumANRRylXgBLCnmEaiaYkZzx3HSZKYmJeXxDUuDzu+XgOxTxxN7B6fYFhTPc7dDghrREfhJv4htbB95efcKtX+OJIH58I5RXOBPG3oBUlMtkbcnLgCh0PS423KMXvCdLhxC+VaDmgzTPXSHrlcEHQHxwMD7gw49qAdwZ4TvWSKAfET0wXM263QeaBuk6IPSJthsNrvrHIFuNJf89JrihuhXQPlHJOrSsABu7oZAddx2m7ovSJ/n73simr9HWkU0dC8E45usCJyLFc0G2MtC7sp0dicXQtoNGxmjv6nPiSZloVtApxNWH20ostC8lgBqdTDxjilPTNFs+B0J7oviTGdeNwUemPPUNZs6pnPHXL4lzq/uVrYuANdYFl17mRjxvW5rgS4ykeKE5pAp0JVROntqIPB9bauMpwnwzRwFAGntbHRUfQIta2i0pBhdjvEFdACi05RAU/K3hIpmxL5i4qFY8vK5xTVCM5bzmXWwKG2iWbXz3jukyejcNjR8lLVsowT6gKT2xY9xnvlYYxr84w88S7PRuOBKdMXUe9huoC+f0FdnOHxEJ3v1lUZzQ248Rua7QA5w9AAA3GPhq+daCBsQToxkX5cPwOS084OTGclLYuaFTk2XG2hjAIP5w7wpPHHxxNEhubiDQ+x2v8HHDFU1zEd8+47sS8WRNPhTAWzOJLdk3D3oxYVmSC7tSjF0bbCuV33ywh9tLY+i80oOEQMfp+TdevuF8dkEPB7yvmPJvS2OTGe3lL4sCKJ+7DL3BxJMRn1rsZ33e47Yr9prDaFS7vMl/0DCeF5I986b6hphHrHpG7LWc+8noIfC4n1BQxY7p2hKmyvpuZhoGIsmmFT+Uac9ClTAwFTY25b+jtGVaXIoOu2+NSgV7RQ8RpJDFA3KE0ShPGNBLMczlvGaVQYmPaVH551wgxsf/lNc/TE4wzF0+Np7zGd55vfqGcfpiYRmHHOXE9EnwjZThcKhKUq6lyOq3JGph74/X+RGyNuyERGoiPcHHDav8FyTPPrChlaQxbhwPmI+Y8zhm1BZoGStnA1SOkmXa7wq3XuJDwjwWfjkiYWdK/bVGnXl7BtMfKyJyM6xMMFX64rKxE6Zqw//yGFDKdz1xkx6FXjknw+Zp29Uhb75Hv12xzZa2VehOpx0g9eoQd8yslXxnyvqPmgVp7YCT5QhcL82aGnGDuKNsjljcwbfnV8ImcLzhOr3A3f848wNR7ug+C1S1qZwS+AEtxg5vzUgLQGXX6DhPQMBNvHnCzxz11vK4j2XU8hjN89rStkN8I3cdHdErkcolczHjLhOnE0udpVCfUtzNSHOE+8vZKEesYD5dM8pG5RI7Ht3TffqK3me194ymsyXSUtiGyx9tE5MC5/waicVx/Zu8czAPr+9eEq49UlOf7S7h8hlWGNVz8sAV1PH07snq/oR8j587x6c0zk6+kuw6RRjLjevI8xcpJPFO+Qb5pS3vslx2lz7ikvO4j/rHQJuHRrVG3qKXb5ZF2cDAJQ/aUVaN1iqwFvb3AdgOdzMhqwmJlmgY6MsGU43xNSgfON/C/+0//Y4aHT5SnR/7L3YZweCDMzzxfFnINaPFsx8JxvWxg3NxvmHwm+5lv8oFH1hzjiv/Vf1q5Llds2wWn/2TH+oNn/b3n//B//5d/5zzpj1ZKPY2ZqSlza38jTfSvT/FE5KcshrY0NSJiBDN4CURfvLv2U8XyX29t+4p/3Pi6ePuKr/iKfwr4Opb9vPHX4wBS8HQpkmKgtEYpjblU5lxYFuvC30ZG/Ygf5x8iQvCeEALBOVpTTm2ilhd5u+nf65i/fz5Rdp66W0Kyc06UktiqIX6JQGjZI1pwPnPEQAVfhYwuDUiyQUtbWtwwmjREBVcddRZSETpTDm0NOhAk0lNRrQtZ0Tfm4KCtSDouiohi0C3WrHxsiFua1VgLMi9nLojhzVGbo2lEWsW5ipNK9YbH6LzRW6OKR8MWX22x0dQeKZXgYLXKmDa0GUKlvBApHs+oCWnGZoLJEqoe9R4rGZQXKwiAoZaxILhY6WmUuhTwmPNIewkFB1ozTI2AYApNWdqRxKF4ElA0sbyi4ULD+8Z6NGaUGttiL2oNmpJ9Zrbl807iMVMcS+sVPuMt0JrDzNOkIyddjmtc7ldVgbYQNeYrc6jIClpJ+DKw6isqMBdB64r6QjjFaUabURG8jjQbUDpSOwEeJZBhyemKhX6c0RDQPlJaIERHH0BWiqRlzt2rJ9WAzxEfJtTaX1lCm8dKJNHQKNQUF0ukLLvvzZbmQG/2QvQoVivSKirK2AsFtyy4faYt/YU4AVpBzBDn8HWCCK0fCHqC5tC2wtm0tGfpCpUZwehssX40EaprJFusg5MzqnqkJupJXmwuhtOJ3hVUHJ5KCZXqgLlfLKauMvVKam6xuWwML5VQwWlinjvEhHUfmOsMVVERRCNSBZVMsuVzlc3SqukygCLLkoc2VLyBUwHf6MSDebIWii1WwVU2moJ6Qd2EFQV1pFjIRcjmEY2EFvBZWB8bQRs+NKZmOAznlJN5rC4NlrIBEmCG90c8K7COIgsZ5VBSULy8ZP/OAVcVKKgt4cQlGqLtxdkiEGaiFNbV6NQozjGmhJSMKczeo5YQWUheQRc7bE7YSqnSmLxgIdAK6Gyk0vDisG2kFYdrnloDlhY7JlKQ8jLWBXCWMOewVNChIaHhJYNzSxPpXJkRzDnAGIqQbLFXzgBiSKyU4aWt8DRg7oR4o9IWwjCwkL76MgaxfEZQ6koRVVxWWjOczsRaaceIJahuydMLRJwEijbKvIRD6WoiloBTw8+N+dzTosOO6aWpr6EhgYtIE7qii8XSKXMTUhOSCD2V1oyGB6kLSZUTdrEHNdosbGOgq4ZXoaZKJCM2L42PAdQ7NiVzrI2iytomWmiM0tg0R9WO7Dr8uqN0mZlK1AHwONcwM0KE0DtO4pFoiJ8RE1wVQobxZmlNrFNlaIrMYNWDgtVlvGjnGVHDFcG3ihNDVCj9CAaeSkurl+vryY+Npm5pw9SGVE/Lnq410LZEukuhWaWqklcvLbTO6PuIY7FK11N+sdllOlWcNRojTaGp4JphccapZzMnyqYsKtqjp24E742uCWPrsRpxOuOavTQLFkwNa4KpEV8smDVmyjCTVYk5sU7L8yYrQKSIcVxX5uqW8bWfIVWIiy1QTJDmaKcI2bC2lBd0zcApu0Gwk0fU4U1/+ixt9jhTXKhUwBWPVMFXsC6iyfFqNbDuK2eritQ9X46Zx0elPDxDPGF9peDxrSeViMqOpSKlEJloljHLTM6R/EDXb2ln98yf9vgvmT+9H1k/Rja7P1wW80eTUo9zWU7Mj/9gyxd8mRvKS9j5kumw7F5CU6Nqo1QleE/0Du8cTZXalKI/BU4t7/2VnPpHi6/X7iu+4iv+qeArKfXzw9/YwPppzuDYDj19l3BOeH//9BOJ9Lc26/233uvHEhYRWYKrU6SLAWwpaWmq3J8OlLaQC38fPD4qfhQCSz01LC1YwzxTNMCcOI2edlOwNxn9rMSixB7+tX1hLde8C29o45aT37FLj0wGwSAZ7N8HLlA2zjM/vSHiWNHQnClWyMD9ytGsxw5XdHzEToqdMuXfK2iZsbrM82IUuq1jfIIkjStfmEhk7cj5nK3+gNAoMlC7juQbIc2cPxeOkvi0fsf1/fdoM953V3TTgVWXOb+Yef9+T62OfgDLRmueo5xxCo6VVX7xAD/gmJx7WVh/WXKQBErqMWA9feDQDbjBcRUyD88JnT19GXg5sQCUEjAThv4I+5fIsLRM8Knd0tYlK5RI7+7p+pnkGttb4fb1ieMwkm47hrkgWvlydsuudZw0gHWclQNRH/l9MDoxgoyUEikyoG4gbz6gTxNyVFhBqR5KZOsuue0euV/t6W8cZ182XI5npLe/5fnoeD52yPSOFjLqJ4Z5x1HWPLBmM38iSo8jcZ4zyoaZMw4IbvVMujxwuZtp51vyzcD+zyPDhef6reM2rGg1I23irA+YCNkyrw4fGT08xyU8X1tHLlu2NpE7x+kq0tV7cqp8uDC6W4ery3m+6gpHJvZxR3iGuet5vNjS70fUF55XRywbvnr67DmzW5pznFIiTROtG5jeXvL2z460yXMrN3TdZ7I5DvWarnwh6ol+nmEFLVRUjKhL0+Hkjzy3hGYPt4muOxDIhGmi7x0WoLfCtJpRi7A/B/0M/Yi8grzvEOcpbzNXvzeGHVTx3D5t0GTcfLPlbnfH2BqnlJDTOUE9U//IUDLJGu5KkLrk1rA9kkqHwzO/vUWeBDk5xr7jxkcGEW555FgCYoHvHmfuA+yCMccZk0Qyz/nqkV1ecWKFsNzXzozXT0/EDVgvvD92JKkkKvXLACaYN+bXM1YD5MD15ReYr9H5kkmXzDcncL6aOeXGYZdp4xUSGiSYw8wkxqMIq/kORTgS0e4jg8ArEewkPDjPzgW++6EnS+E2FmY9w7mRFAvR9jB5ctng/v09p3Li8KgMr9+ih0DZGa9vD3DuGH/RMf8pnHLH3q3g/P2S73NMnJdCbQ5tHZ0GSjdzuLqjbASr4B6X50EkcykH7ujIL2PszSx0yQg3M/tdWgaABs8XwCxMvw/YzQWkyuP1CLbDSuPLpw7Nl6gklqfECYlGfF3gc4Sjx00LCWIvC/Ppl44yQN5nXh0HuuL59HTPWM9psiLH97yeZ3pgD9SLSukd9rCGiydkMyFM8PwGf+y44C+Z8kyukWIRaHgzXpfCUZXijItp4jhfMdUt/frAPhrPRfjndYPsRuo48/nsluEEmwwPF5DPBOuETf5Axhhn6KeZ4xaeV8LF3UzVgb2LnP3yHVbvsOmJnK+Jbk9KOxDjbAVnK8j3iXldKWeF/ranm4VI4e4Sms3w+MxwUKT1aNliwxFlJltDzmfC7EjPESeLVXU7Of7inz9ioyfcRebyltZ59A182p3Y5iNv9Y7JjGn02KfE2TTRWV0suLbnuTp+mAbcmwnfKzEIr92WUBs1H9lNywZD6Z74Rg1pM5EPHB57xIRSIfeFTgvfTcpfbjMzDdd6bi8cfTO++yg0XlHMMPs97uEli9LuqeNAbZGZma4ZK4HtCN+fHaidg0+JG6mMeP4ybzAL5N4Y3x7QD4Zlw73aY27CsgIdYYqYRT7Nr0npAf/iud3WQqCxcwLTGe4QGfiA0CFz4HSKxK4QuxmAee5pLTIMR8pqC6sN/+L1ltdnQucP/L/+q/8Hv58ueCoD/1w+8XnVeFoJ/VNilc/o24q7PmNN6Y+wlidcW+pPH4eBX68vebd5xSf7gB9P+Af4b/6bij0HwvMfppz+aPuee5ng/RX1IH9NEr8opb3/0fLwU7sqy66W8eMULAVPFzx9iBxzobRKri9M4Fdi4x8tfq6NVV/xFV/xFV/xjx9/3UrZpciq64jBU1phzpVSG1X1p7nGH3wvAFWGvmPVd5z1PU6WwNHL7XoJXWYhMHankedx4vd/j1yp7astzTfMKd8+voN2pNqeW+vZSuEsZH74hed8NK53yg8SKbGjxY7twwOh2xJW16wfP+G3Ebka+IsfKn2YuBqOyKOQxXGKnrbp6DrHOjl2tyfyHMllRUknvDdiEPRgaN9oVxVCwc+Obt8tB+sMFwwtgi+Nfpo4rVbUXsgb5ZvPmYrjy7qjKxBrpSsTxwvBm+dsH3l6U7BO6Lzn+MMlbRacO1BrWKxDw9KcFpLjqm24++goWulunjm//w7LkTse6cKM+MoUZvBu2fn2xsXR0ddEkmvmdmBS5YkzYjri/UKuhfmCqI4z+cCtbRgl0HUTZ3WFI/L5XLDNAZFM93kJM44eXg+Bj4fAPguDn5edZjO6ahy3jSmCfVnj+xHpMmUF13vHanTchY5QGrE11l1lLMKEY/rNK7QeIY+cPQ+4OoFm5k3PMAlphse44sImNpb583KOS40YG8NJqGFxydTVjv7k6E9+WdSKRy1yytds3DPbeM/9Vc+qrtnOG+7mHboakc3EzRePtkUFdrh0SEn4MVGmNeIzLp64ypkQEwwDn/yBLEpDcI/nRMv0fkdXO5pzTAmiM3IInLqe8y8nEMgrhzRloHFO5otEalvh8gW95iUUWBor/8S0Em5frVjfZqQIlYhIffmeBkSWYPwiic4mDGGyNaubilhDHwrqhaTG9amCNOZkfL5qnPUOVzrG92+ZXMWk0PmR8mZE+4rNBrdnpMnxpnvmceopFuh6x+lsRrtGip7VbcWNxiklsqxQ8XR24OI843vlhxpIB4efBRVdlHpisJooh0taSXD1hWGOxBqotb6oeSCZQa3QGsEp8doja8f+3lOrR5rwKjdGq0yuwdWAVINqFBXkvMLKmH73jgt1bLzywy+fOdsFtrvAY9yhZcDq8P9l7896bMnS9Ezs+dZgwx58dj9DRORQE4tkS002Gt0tgIIAQYAA9XVDV/oB+ku660vpWhAgAdJFs9ESmgJJkGBzqMzKzIgz+rwnM1vjpwvbJyKSZFWmWFWsDPK8iDgRx32778m22bfe9Q7QPJNPE3VV6G8diUKQQhNWNDnSlUhvlLCGcQ35sacsKvkkU02lPVi6jUMLBPWMtWFtAl1NtCXx5Fe01bMuDQMN48nAcPmMfjyBNiLne3Rn8EboO8P1bSFgefKeMoEvPct8xsOPv0FzoXnws9OmemruCbadFYl+A8eXWIqCGtRX6kkkhyvqZNDtyOvXBdTyeL8k5om6iMiPBiQpZnK4+yXhIiCiNFvHFARR6FwFtdTqCfGEtn1GTCQUC9ljUHo/kNIZisH7R7QRrHjW4yVe7qkSeDCO89TRVEjmiZiVhBDbltoIVuByW9gsDJM/XrOKQytkt4NTg7WGy1/CVk6ZpGXdPBHaBLbwk73wJB0HcfREdtqR1POVVkYTiSTWJVALZGC7aOfQb2NYySmHaBkzLLhHrYKDH/WJw07YD5Z42lM5lgPEllIcuRp48YjrlMYK179UnpvKU6csxgVV16iueWWfGGthQ0FfWBgU2VbSGnRs0X1Hu36C3EBY4vwT65o4L4Vv1p6iBsmw+hJs7ZBhxfPzFgpYtSAjeVVIF4XXv6okA08nhpoyXoTeWIbsSFJJPrJOizlzMVaGcAJG8c0ej+JKoYmJpy8bcqsYycR3PTJ5mtJw2nQ0EmnyHfeLHtsoL9uRj7slo4F8eWD5/gadWvYApxZxERcf8NliAHzBRUGdMl4n9HFNnTpiWKIacDJx2jzSZ8FrgzSv2HbvGSUwbk5omozYwugKy+kcXz3JP7JYR5quYlvP9v2SOBiWl/eE0JCTo9b5uvZpiR5CR1aDuX7k5m/8EednN7z67z7y9uTAYztS3h8Y+p7oPCfPW8ZVR+o83cOBaubSinpdcBuH3RkaVcyL1zQXL/jDB8OXN5kXV4nGVPKlIZ8Ymq+XfPjg+Xhv+b/9q//rnzsn/dZKKWuOo57Kp7RylE9BsPOgaOdqPRAhlvpr5MRMUs07j7kaslaMmWWtxhw3Pj8HoH/GZ3zGZ3zGZ3zGEfo9JbW1BiMyq6BkzrGMqZBy+bZZjz9jg+TXZgoRDNC2Leu+Y913XKyWCIoYOF+taLzDWkMOiVorY0p/oedhoqHpCo0DUyOeRG8LtyoUhCrCVVPpi+I92GTIKojq3BpEpuiANQmPYEtFTsCj9KJMdiYupl6xkshWGDuY1FCdYJrZgqYKGo+2IFuwTUAOIMFTSocxAalQglCKUI2hrh0lt9QyNzNFZM7yyoWqjnpcQKTSUJVjq5NBK7ONR46WplhBPLhKbSdMNZhsgLkpTqSQZ1MWogkxOi/encW0LSUpOpdcUbKjZEdyGddBp4I/JJzmox3DYIgYFcqn+VWg1o5cHEYMUgsqaW5gkjVZI6qFSQ2SG3x01HY2SxqFpQI5oJLxTUGlQgWv0FSlqXM7m5q5g1CLxWqhMZWY56YjkwtSHb4YTBVCNKQy29KmrhJqpSkVTRlhbj9sZF6BZ6lzQ5xYsliwBasZXysjlVqEVD1VZ/tpiZGFM0xqmUZLznM5U20gFzC1ApmIP94PpMXc7iilkACq0pVEgLlpzINJFVMVKcLQ9eAMa6nUFVB03jkHqoHcCBIMorO9yzbTfJ81k6xQFeyQkFKxVXAkkoVqFW0n6uCoxZFNiyMhgEHnx8+8HDFF52NnnXGHuTWteGEqDhstpobZdieWTiZK8BS1aBnRArUY0thQtacYQ5IBdQlMwYwJY0A6ofiC+ojB0E8FrUqKQHZIrVgqogZfHQZhHOeKdiMVqpCKp2ZHo5la3Wy7NGHO4BUB5mwhLY6SFfUV0ymtCrEACAZHPtqJ67JBnaI1gVQKhlgcZhQ0W7I4klFUMiIBXZTZ85iFEB1ZhGoFY+YGreSFLhkwDvVuZn10fg7kfm68S4ZKwJa5YSudJiSCSe3cyMlMzPmaqCVRUyZGBSNItiSTwBikwuAKMQlpEFoEp0KhoFmpWslNIReQLBg61CSsy3StEtRgCnRJ0VqJrjKidMagxjAaQ1SlCkxdQca5bdIEiyaFZKiimDwrkJqgxNihAriKmIIA1kbk2MRHEkTma0Qxlmrn5sMOGINB1dDmTFgVslWacUFthExFh5askEVQI9TokSpkEiXOGXFgaAEjhYMBisxh9D7jiwCWcQnJekQ8OxdIGFBHDrN0UQT2EokoRQyaG4yfya1juRwgjMaRUbCZikHd3MA4+Eh283PMY0UMGBGcTlTj8dYTqpDDfN3KPmNQ2qR0RQk+M/lA3nZUEzBNIlWH1FmtInXOv8MWTBaoUKWSXGXKhl12lNGirmLaTDsKmjNxSHNhiQXXCePgyNlSoxBlIppKYraje7G0vmNwBer8nuNkbtM0hrJUROdr4eQUK0INzWy5U0NyHm3nNlsZLRSOqlqhFgdZGVtLkUwVQ86r+bixBTD4OttOa1wSG4CKTpneerCVpBmfBZ8rwkh1GUemCwVZdGTvEeK3n71iEyqKNcq6C5iUUQxlWWYLfFa0VTAZ4w1+CSSwCoNPFMBiOKkLpGsJTuiXivGJSOC+BB6HwFNKuFZJNqJUprogx1lRa3pHyolU6/zYi9IptM0lpxcnnH3Z84cnLRdnA2enwjK2xCtPvPKcDQa7K9TH8hvnpN+alGqsQZhriUWYS39rJdVvlfQ0xmDEzKRUngNGVRUxx1wHVVKppBIZY6Q7+tSdGHJSvqOkPmdN/ZDw+X36jM/4jM/4jL8sfJ9M+vT/3jn6flZHxZgZQyKXQkr5aL/7N5v1/ixYEZyzvDw/42zRcdK33JydYKxFjKG1jpNlz6Jv+Hh7z2YYyeU3D1S/CS/F8Moof6If6KzhzFt6SSSEJ2n4r3Jhv67cnlf0T8GlhEuJ3DQoFYYN0VkIBb3fof8z8IdC90F43zRMfSGdRtrbllEq20WmhBV9nzh5seUxKmXfE57WQMQejUH2UUm5ZTTXtO17kDmPK0aLrnrMV6fwC2AP7IW7uqPlwFl65mFxijPCibVsntckKzy3IzzNhEEQcLqn9YW+Bp7litQo8eKR5qFBguFZIgahMyDPLSE+IAJte7QtGUfXrdntKmmqgPIkC5yrnKzec365olND+dntUalvGExHrQ8ElEPbAwlfIYQXPOiESKQbd8QmUr0Be0Iy9wQCdztDm9esZcFTXKJaMKLk1lGHPcLA2YsN9Vmpe51DmYtgEKbJ4VtBuznnqY+RthTC3Q4bIy7BmbkEoBCO5qAV2bbIT9/zNFQed6DHRjRBOZEDO3EEdbSHhpRXTPRcmW9YJKWJhg0jezXsdcXiOZAIPEvki/YVh3yg7JVnB+Ukk88z7dsWyfK9qXtOCbl/taRsoL6vwJKlBM6k8HGRyOvC4UJofxZZJOEiGX5x9Yq2TrzcfeSXr6CMFn8/2wDHBWxvoHkDmud2t+uTZ5KZeE5KiB2mWNpnZTElGhUcPY/tnN+TbhLlFy1M8yKcVhCbaTnA87w1/qk4KbTw9oVy+kuFAmRhuOtwE6x4i8hLLMJZjIQP50Rr0PUAORPV8p4zVrJkKZAYIIPLcHML8QamhRKINF2iA67vYfNYGbJBz1pc3eNIRHpOcofLLU8YmmZH4w5waI9h+J5znhk5JZoVtB8o3lG8I6oQxzVlbOm4p6wLdamgV9Q8UXPk/OA5kDg4SK/PqJtHeJ7o/QN7XfOce/qnxL71PJ9aMBFvCy4l4ouI3Vj8x4ZhbPi2qWoRCEvHfukI91CaNbk5oeU95gDmYMl6gcuwzJmxblmIsrLCn57AblizGy8gNiR3IDVP3IRAs6u0O9h1AyUbuPXoFwqTId45Ns2sgiM0nGJJYrhjom4ytJm6qtSxItJgpKdlQ9dPrF8kxtrg98rNh0jOsKvKVipXvlKM8K4XdpsKfcb8eE/ztkGCwPsGRKnqCbqk3SltjSxjYNSWLN9dR8Rkmvbp+OEQui4D+dt9D+93NLVyFSJv6pKIYsxbtheQfMfNz694eBGYfKI5OMzsHQaeyLknlJYBqHEEMkY6Tqn0ZOy0JwZH9oYPi8TrsXBB5pfXkTqcQ2h5c/6O5bSiCWum7t3xnD7x0Q80paHJDfe65GLZs1h6np7ujvE6wuEQ4GKPrAd46Cm9I68MH4NinIfWMw093kdaH1iEQLMKuKXwcdcRgiUmw/3LHW2G8yCcRnha7BjON7zb/RQHuDri7yIpGUJ0LExCTIBmtpNhIqYNjM1E0AXPeoqGgG8m3GnEvjljn4RbHQHD2Vni5sWBn/9sTXpeYrZrntv3CIl2B34oNCyw5hX5D75Gk9LddixfNJSk7D9G5OUjkgTu/Nz2GBsOh1O6xwHbOcr6BPPyln4Urn615rm5Y2cCaEs0Z1CUvJnVnMQW3d5g/K8wPtBKx/khUGvLB34Ep6BkdLsnvl5gXaX9GLi2Cd9MbIeB0q8xxtDvDB9vzhnWDso7/K2HycFqB6nDi+F1b7lLe/YqpJcJ93WhjsrhVPBtoBVhvTLosyEkeOrnYMhOG36Ur/lw7tmvC1+2t7zf3vPxeU9dV5oh0IRE+CJRthO6t4T4e+h0QOyI+6MF6WNBnjI+BU5z4lyVVxd/zB+8TPz4D0bOTxdIWUFd4KvguhXG9oQv3rD8eM96ePyNM9Jvbd97fdJ/a73LOkvcrQiCHJv1lNZ9l+FwsVww5Mxmitxt95Tj3ZT63UVkVlXNu1dODApUnQPk4DPZ8UPCZ/veZ3zGZ/yHAhH5fB77a8Qne50AfdfSNQ0nXcsQI1NK7Ifpu8X095RUwqyeqrVijMxqGDHUTyHlAsYIF+s1N+dn/K//zn/C6WrJetnzo9dfkEsmpcjuecP7h3ve3d/xD/7Fz3nYDWyGwDCFf+fn9J/99Ke8+FK4/tLwflRePDe83DTcvVDi5pny8MSPg+F5Vbk7gT8++dtsfeSD2fH//KYS7gVu4SXvGJrCplNusqAYEo4vY2HUwoMUgu0xFLwmNi9uMLnQ7g/kCqUsSPmcRu5RP5G7ie7Q0mfDOsNjK8QO0qriniyaO5Kcch3uUKnsG088mzBF6bbCUF7Mte7ugaiWXC05N0CDtYXGbzlLCSmFsVZ2rzuqNfidcjokKpX7JXA4w6rB+xGjlVotIS/xfsTagliDHCYKnvH8JX7aYpjI6z2na4cVz9PzGfAEJqBLC4+nuGy5Pn9gvFfC4NnzGu0e8Hbgq1G5NQsO0tGWBWmxpbQR0/e0u4rNhXoeiUmpGRZjR1wGsqvY+xOcTFiTwIKtglSljBFerGHdUT/sWZ1A1xue7i+J7gk1W7587CjWE03DXTlBzIBxE+GiR/cR9oHzPAGVKoq0LZQCObMSYXdywm51grsVPAe82aNTwXhFPDxPC6xVmqbixRMTjBGMOcU2I67dcXlIDHXFM2d4v2FZA6c1oN5wrGjj7VeCBKF9NiRjyT6R2sD5PRgstWnoURq1dNXxyx9DiRV/X0gvEk2jnFhl/7Yhjh0xrjgzH8AVRt9wY1cUVZ7zBOFsti3pQLkwdJK4GfeMk2GsDRtOMS8z1mSazRx6XttKukq8vAMXlF0tnCQBdWztCcs6oBSevCGnE9SB3NwRDnbe/b8uuI8tMnTEeIXFYEzGtR9QW8FXOEvYnYNoKIDPCVsVbEuuSjEwXheW9xk/QGx7mjCXETy9MDSjwUyWGJfo2Qhtwb1fUFmBsTTte5yL83rq8AXJDWQ7IWRYRmgU/fgFYg+In+hvVtTHPXU7Ek5XUAomKy/jDftux649EJ9fUgE1hba9xxxPltPNhE6K7OFiZxk5ZZQTuu4OUyNSCkO9YWUjaztym65nQlmfmNoVuijUPlPfn9HJyKLd8vjlKU4sfTIsvxmICgcvXIcLbB1QeeTtK0MOK3g+h99/P1tnti2vGJiKcp+E8zOLRsv07IlygjEJZzYEK0g1tMkT3B5rYGE8SQVXC30O7BdCyj1pf8OPuUeIbEthIRB7uL2qyF4gdMjwAv/FLZ1GLt4bzKIjCjyHQOZ4XBxfsOoq8SzSbBp0csTY0TQT1n5XeiGqeFWizmvYRiqDP8Ng+WL/wIeTyuig28/5VEYrXRqYXEexlt4E9gslibL8OMfoIY4N57OK02R8P3EVOpbVcGieeKpXTKbj9NVb+slhJsfbJ49cG1gp+emJfpjD0Q83lr63tFZwf5oI1hGto1YzK8JsRbLQ1EKjhaYW3EIwneXDpjtmkFWsKqU2ZPWkxRO2OGzyGF+odFTtWZQtQQ2TOtZxRB0Ubwihx5iCdZHyOqL7FXp/DijWDni3x6eeIpVkM1EuaOqevj4wpdc0Wlhy4MNyZG0rrwTexh5bYJ0rt5eJqoIfGtK0gmoxYjEnT7hi6cYVcbWnUqipckFAO2W8MEyPDkvLul+z220JJEJT0LHBF8NSDMPpgVIMPCxAzjG20PrZyl/EMtmeRT5gtMwlGuGMUlqyeG7cLY7MU1wz3ezwJvL6LvOgPUHMTPqVgqiSvGd8CdV5Vm8vId5S/Mj+S9APPSZ7ut9riLsdOmba/Qlt3CG18NhdcJL3LCVxcrVgc6gMUQm28Ed/8JKX5xes7r/kn5z+S974D5i3oAeFaDCrS06etjSHgbtVpRZFsyEMZ1zfCKsT4c27So4ZrQnzesvfW/6I//zkC378X/6E0580nL5q+ZvdF4gUUgn88mdv2Q17Hvd7/tt/+JbxV/eUd0/8k+Hw585Jv7VSqupMQjXW0IrBWYOzs/82VyUVpfXuaM+rOCu4anBGju0qs/AUU4/y7mPW1LHJT498lhGhymdi44eKz2/bZ3zGZ/yQMTvAZpL983XorwefilO8tbTe45wl5UzMmZgy9ftE1PfCz5WZdPLOc7ZaEtN8+ylWnJstDJ82wnLJ7IYJ6yziLM/DQEqJGALUinWGrm2Om29/8WPBp4QvDS2OL9sllydw1Qru1JJdorrCxUODW2bsunJiVtQ8sCgjfRho1NE2ji4rQWW2AR0Sk1OGtqJ9xYnQi2NUCxEIc5iIiYKf/NzwJBXcOOf61LlCvlQLptK2EZEWU8GnghpFiLTjMGeL2IqYmS40CC2GSKG6zLScrX0kRYoHKiplbvLqKrYobgAkQPWYaYnWSvVKbQrdQbHHTcusDaKGvmaaWlAKURVVC8ZgZSYn0IIWixkUIwWvZd74rEARVAQVQ0odzk7QFMYykSlzG58ImhvQlip2bvRroetmpVKuIG2Y29OyUGfjIkYVSYXaC7U1kApVFaugnQeROVOpVrQ4ptygR2JUjWFYBWYNlKXfJ6pJVMnYUXFBcRkUR1WO5ILB1IoVA9phdLYmJm+ptlKtchrzt83X2h0tSaUyukwRh4jD1ojUTNWKlDo3DppCrwHnE8kqZjzO5VageIoqwRX6VLEoFTtbP41BRfAaEHWoemQCKVBMoWihJEsZekpy1OpAlVB6rEm0Tsl2XjOQwbeFIjBIQWjRLGg0FFswLrGSicnOtshPUAzVdOR+btBaPBdyC4W5dUrnsru5sW2uYaJRQaujioEEoh6wWJto24o1CZsKGUOV2Zaq2aDFoV2LhgM1F1LtqKKoLYiP1H6295S2krTMdkQqrW2xzjFNZm4YK4G0aDE5YuY6SZxVnDnaM8kYnUncWiq1QtaEq+CKw8SIrRmopClRjaICvqaZ3GojvUZClblMai3UBJoEMxokCraAITHTKBaKRUsz26tEsTnRpIDYgrpCtYpUQy2GWiwZS7QWaRw6tjirdFLAZFQFxBH7jOi83sNZqAbtwASDFkPNHUYC1iiytNhq5+bKKlh1eFvozax6VKPoYpptStUwZYvLGVCCtYTaUmhnstMkTKnU1JO6kSqVdj/bVeflZqEaS1WLSiEVRxZAJ8TObYZNqSRjqIDU42ccwU5ptlZSMWZWTFUMo87Hj5FKUjOH7lfDoJWiab5jO6+CpVaaWgnHdTCmMLOlgp5M5GDQWtG2QKqYKvR5STaZPZE8NlSvs4wvWixgnVLbglOPixaXBFMcpRpMjkiYre0qgsXT0DC6w+zjLS3aFDTO2Wa5BXUNxnrUJ+YFuZlbL6tQqtCWfm7QtArV4DyIL0yhkCaDBksVjyHjpDB2BuMypinz+Ukc2jYspgNqMqUt2GIQLfgaKS4hKFoMwUWQTKeJBYU2K1IMC8lYrXTkmT8oBlPm1saCkmqiSRVXwZREMZlKnVt2gapCDhbyvHFViqPY+fNGaLBhbqpMzdFGp8ztjRJwttD0BTMe+Q8XyL5iq9LEwtAXiiSoAWKAUvBMRDPbWKsIoTbEY5thKQXEMPkFZZrVs8SK0QbRShcCyVaqVOIEmmW2BUdQLFildxWykLNFD0LySm2UL8eOVW+QdWX3MJKmCULAJD8T1EFp3USTBF8bJER6U2kby9lX1yyXI0Ymvv6F0q1a/KohrLeUZWZYBsJ0R5hOiJNw2E1oV8g+kl3BOKF1jt4Ih9axX7W/cU76rUmpfSo4a1gA67ahdZbGGXKeL8aI0LYdU0ocQuR+PxJKIeQC6NEzbTB8IrGO0Q/HSKpcKtYI1sw1st8PNf0zcyE+43cOR5fmZ3zGZ3zGDxSf8mc+q6X+feFft+s5a2m85Xy1nKM8auXd05Z6bFD5VKpy/Ilv/6y1sug6TpZL/s4f/B5vP97x4eGBMUb61rPsW1ItjHFi93Hg8XnH+cmas9WS1XLBFAM5Z/72T3/Ey/M1v//FK57vHvgTMYT4F7PvHT7eEswayhl/bC9ZXG/xX22o2zPk4gL3xSWrX65ZrCZO1gPf/H8dmwfl6TlxVW45WS64Oj/l6y3sYofsTzDcUm1hajIPLwzdwrPsOj5+tLArVDXkN4Eey4XpuG0H1B1Q9wSxp4nQRbhTR+gL5QzYQzNVFtvEx7Xi7cSF7Lmta6rOleS6WdIU5SaPlOaJcVlIN4l6qNjJ0CnASJbM5CfSlaWPws3X8LStVDUQzti3SmknWBSuthOmWu5FSWlJWytfyi1kCMbwsWkJcgIqtMO8Sy0qdPuWVUp0mundHUNUIoY4eJQBrY6P2yteX92zXE+Mzxt0aii14a6PxDgvzLJ4WFaa08BLY7gzK/ZqgB1NcLSjndeWB4uvSqOPDIuWaWnR7cQygi2OzYsX+HGk2x24jpHbu5Ynaei6B0xVTG65/SLQx5HFOPLFsOFZPFu1tOOWs5JZmcrP9JoqDhB6HineUV3DML2ijnuasmE8GykeMMJ6J0xZ2WXF/HSg28HpA2x7RWyhN4of3hOcMi2EcQfVjDRN4SwEDmvl3Uuh/aaZbX0K+e0VtTmQF/fcDJCzo2rHoEsshUZG7k/AlEo7RMyjUE0m+Al9hikuiOMrVGcCAVFGXtD5A6er99ypRaOhjcrV6T2xVYYe9JfnxNhw2w5MzcTCJn5kt/xSKyEboJsHzdKi2zNuTxOLbuLLTeKbtXJAIWQm72ZbrygZS5uUL++FTbphxBHCR6awBgxtd8fNy0hnCtPPlE3TUNRw8Y2yaZSxd6SbqzmPbh+p0xlJM1Uj4gbCzae83QS3HrM3NBvhfNHhF56nndI+K94VNl894nYtdpiXYI0VWl+4b+44huXhpomxF5IYuvYZExe4sWP95g5xSvXCAcg2z6Tm8Ba1M6n6kvfc0/EgHfG6oA8e3XoWovTZ00bPqHdz1pEUJHiyW5Pank4+YHOgpkrTPFJWmbA28KsTzKbFbh253BK6SuoX8LbDSWbZVG5NQ5HZXru9viVrJSToyxJpDXG5xd9aauhJ6ZxhMZFXBnO2ov+5ZwqVQGBJZNUHzvtIGVqmTknXieZdQ62WyTlOhgEBYtejzzfQRDh/w20DTEvk9kv09Fe0ZeLyAXZtQzFAe880LTnQkv1AmHpsKZwTGLsOC1zGyH3TULOlfWyJr1pkVVk/P7NLL6jV0bbPANRqCGHJavWIc5EYe8iRmC3vWYLdY1z+9lolQG8Mm9QwZY8YpTyvUWcZ//AD/tZjRqG5uUeePe7QcRZecNe/Y2cHSNfIMmK6wPTUsOpbXGsxV/f0myX9/RKHYcuKQVtOPn5kJXMo+W3bsuCUjp5n9wjTGsnncLGnToYUhelmgnSCxlPU/xyfLL7MdlxnI95mrg+vGNyend8AcLoYODnd8Cd3lZwq4BjMVyzsAwv3keGygi+oSfi3LcVb8qXy8sNHdm3i4xlMNtKOieVhoppHMIbYtWh7z0BlqPCTvaGrcwHJxZwgBUeymVJwU0YXhlwdIXiCm5BSWLBHLwxaLHLnyRdKCI7nr3v6PlMw7HYNepWheMzTF7TtR8QEBKHZzc+fLqH6TNsXzm4Sza90zgQUCOuAlMpyB/H1LaUHgvL80NKMwqI8MrXXZOe4bbfkcIKoQRiI3lNtQ+wu0ccJkwKxu6flEldPOPvma8abidQE6od8fNae2k1EBOsdV6+fuX/TM2w8J7tI+knGryx/75dr/sTu+Jl54vD8nmk30Wbh1fmBR/WMxXDy4R2GS4o5Ae45c4XX557/3f/hv+Tj1/+Sb/70l/wjgevfO+XyD3re3t7xtfnAQ/3I1/8P4Sd/+zWvf+8Fb79+S75W6o1yceU5X635or/hf/+3DvwP5x3/4+35b5yTfmv73qptWLaOdetZNZ6qkLWyHQOpKqXOOzSfapRL1e8UUcc9ijkHXTHH/IdaP93+u2T42dH361aw70v5P5NSv5uQT1ljyueF3Gd8xmf8YPFJKfX5XPbvD7VWELDGsOhanHeICNMYyKVQjzPFt1d/+W5KyKVgjME7x1cvruj6DmstT08bNvsDwxSwznK2WrDqWvbDSK7zZlrrWkqd8zHr935333haZ3FGeNzuiKWSSmUYp3/n5/iFu+SPlpY/WntW1z9mf73h6eKRf3x3Stoc0M0O9/QFSzmw8s983VrKCHKASGS9hrNz5Zclcbq1vHh0RA1MdAx2xX6xI/eFsixob2YbY1bsm3YOlu0yZvSQGzQvaJs7uqaw6pQP255ceoQl+fUtlASbQh6vcCazaJ/R09fkkhn3dzR5gVOhUSXJMZTaKReLiBZhc2zxK10hXkX8k8cFgwvKoZ5TikVK5MpsUJ+4XRfOng2isFnBavgCVw00d4RwtASaBu/nUPLUjjSpwRehC4GxqyQ3K0ZcasAawkXGbz2SDFNfWGbBJMN+aFmeTTQu4R6UTT0l0NC2gZNG8BYOEhhsnWO1d2esZIM3I5u1IK2AE0y1nG0r3aDcWYtUMCpk76knEdrC8r2jT4rVyvurgg0OGzyjntDYkU4mbg49W5fZu0w/Tai1FOfYeA9dQZpC92woHnIzfwZsFGwEtYrKnL/aBuhsQ+sa3l4+InmFDaeYxwnfjTTLgalVYnXE7Fk+z+m9KoJTpdq5CEvCPK3P5z+HlIgtA8Z3qBiyGGo11CqkJOjZjrZRTryhjDdUDVQeSanFNIbmVNg8FUiGJjfzudUn6nrAHFbzjn/NeKvQO+rlkpNfrqkx8tzeE1hhqKzMniBzkLwpwmlKeLWIPWEye2KtDKFF/BIMqGyR3FFtJZ9tqM8X2GxYt1tWreBRzC7xLi8ZWoP7asfrWmmScHfnKWbWEblaKcZQjUG9xx0OkJS9nrFmwNvEcGJ/rfAzuzkAmcM1V6WhK5ZvUqVxz3i7x2tgLCdEnTPT2mbEu0SuwkxKyWw56kaSz+TxZk6NV8XqFhELzpFfeqp9At1xctfg6hw6vQ/XpPORsp6oty1OlQblJk/sO9h2hvp4zokWTsgYBjZyxpOc0bXvOSmR05z5xUWP84nORty7hiSe6D1N3eO1wbHkY/KsZeRK9jypxy8qi5PE+LziIJ6d8/woPjGtCndXINuCmTzu0FNyh7iC6Sd0u6LYSOo2XOxhibL2SigvGV3hqd/MOUA6K03KsiAV3CDEK6i5Qe9PaNonRCuSG9QF+pq5GhL3bQtGONfIvetIGEypmHiD+IJcfcP48JImwJf6kdumIRxb56sXtHrK7pRytUVcpN3qUUELtVrqaqA6g5YX1E1Ea4SL3WxLFkP/+hH7QWE3t0eeS6RrC/y0MuwNZbKcjh2HMDDWwt6dorki1dBwjZV3wIGhfonr9zg3IRW8mZU/J2ngOd8Q6oIvm1+RsiEj2KvE1ArBCvG25cx2LKzjTdyR4gklLcFX5GyDXe84SYVRHCMW1UAzeNzomNzEeRLOo8FVz9N54eF8bhtoB0NzsExZWUZllZS7ZjkHb0vClEI6U+Kl0nzTUlpIa6H95pzSDaSzJ25uO0wq1BrxxjC4no1b8Wp1YDSWBzwnuwF7nAMWIcwNoN7RfZmoB0t823Ly40DMwtOjn8PUUWyB2gk5G9LQsFwGQEnJHq2agqrjrO6pGLZmSfQ7BGhzQx8jiDD4hhhbjFH65UQ5TRSrxAxu5/ACy9PEYe+pAfwUcFlwjdC8hM2hJ0wN+bBAdYEjccrXTE1DsQ41jrMcaUtGSyHpnLMWPPN9uUrYQ1ManM6E9qlPeFN5Vs8SwXmYvkjY19c0puPF//09H9bCtjGUQTgJCS+Zu59UePSYred06tkrsHL8L/6bF/TLS1zt0P/hX/CL7Z53IbB92fCf2ht+Uhf80/t/xNhVSmN5+fiCffHs1eLYk9aRvFKaqz/g5aNy8Zj5eX3HUxvYdJntP3z+c+ek31opVaoSju02+UhCpVrZhzQ3QVSOuVHHXcvvFLYYI8euvuO3P1V5HpVSOv9xhHz6589YHOivKXE+k1S/G1DV+X3+vIb7jM/4jM/4S8d/iMot1XkumEkle4wFMN+qp2Oepe3fFp/869mFAt5ZFm1D3zZ0jUNrZUyZp92eKURyqTPJdfw5bx1GhKL67WxRayWWSjnGChyGkU8R0DEXnHd491uPS/9WhIXyqJU3+0Lbb9nZA08p8nbYEZ8Del/o5Jk+JbpN5f5ygjo3DnZZSLmwHwvRGrJTdJXIO0OtFqlutiupYsu8EahiqNXRuIJqodSEwX27QagIYhzee6yFVISQ2jmrQQT1PaSZcIodOJ8QzfhS6Wua29SY7VVaDXbs0FWhfj86W0GroslRqlAWGbOr2FJxTGgjFGuxCVQbUOjKiJWIWkcSQzSGaqB2GXUJMRmp8unXzxkwCEYhiKGVudE5dYrbVaBCl8jbBSZ7nM84DE49KhExGWOAdqRUj0Q724OWCe+UkEGbmSgSnduc5iY1R80ZsoIu52pxFM2RkoRqLblryD4gmkEF86mZLjaoTxRvOPRza5Qo9NowqiNi0TZibMFQqd3cgDTn1wSaYnHFMamZG8VUScZgzRyZgQjFKYVC21Qwx2Mdi6+Cz0ruOuZaqYTG2VKlB0MvniqFJBFTJ1wtNEUYGjMvnKzD5Di/DBZIDrWF3M+Na7ZUDLCtZi5EkgjqEAVjMrXOapeSDE2Mcw5cI8djRaiTA+JsG/MdfXBIzRQq6uYWLBBKdRg1OCKVTFZhwtJVobFKuxIO26NtUsHp3JoXMPhmfhuttdQmI83ccpUmqEmZnM45LwihA5MBrWgdUSpiwfcJEwtSFRPm11wFagfaAFLpdpmcPGOFhQ2UNlMc9BHEVyplttwgSDHYYrFNwbhKTYKrLSZ6tCQydrZyWqjOgfezRTOBrTBVR2MdzggTHd4E2pKpkwenGH+0xjZK6gvGCpVCkYnZs5SwEuhsodE6vy+loRilSMTafFyYVYypc5tanu2ORZWhOtAWVyJtDgxZwIO0lTpViII/OFLy1GJn6yWKLQU/RIpmoFBNpbSFmCEmQzUVrYpEobr6LfmnxiJGsIv5CyYbXCwYI1hRWg2oGJxYCglXK1io3dxWqNUAFjEJXCG2c9dlRji0FtfPVtEYBKSiVshdwdiMpQCC1Qpq5s9rtbN1scs0+wg1EarBVDAIFKFWD2KwvSK5znE2Raguo01Fn3u0zi18VRwic4Va7AvrCZoEwSbEW/ANTJGSC1SlpCVVlOIC0wrcodBkZeogiGcqlioFdQHjEzYYskngB5qmp+KoqaHmESgYqZTi0HK0mJb5zJ68Hl3ajpo81gVSNOTBYq3iybRSoD9a4ZJhEWabeBqPn3PNaM4UXkKONKPSm0I2hqn2SC9UHKJKFcWqssqKVCUDVQTP0YKnnjJZanYk11A1ogrWHskGo9SmUiaDYpBFIVdBdH7/OX6yGp0wVeYNlm6kZJDiKLVHKYhUvBRCddQKOgTCarb8qU2oFSqQ1GKnbrapJodKpEgh2LnRlnBsmzUBK4XG90xOqVIxebYqIrO1Hi3ghLhqETVz82yb4Wjhq9VRbZmDzEvP5QL6pXJ3psToSJNhXyJjtAQ1+KBoVYqDSWYCqLHQXFqunadbtpyxYgyG5zGweXvPx1B4lpnbyUnJueE0X9HlQhGDi+cokWIi0yoxjAPjJpH3E7vnwNnmwKPZYi48Z033G+ek33rKirUSQmUTjjLEeZo7fvdodzhWR4rMOYkw//0TPt286FzhaQ2o6LcNGuYow9PjUGSMobFyZKIrSZV6VGB9utfv28U+81N//fhs3/uM7+NzNs+Mz6/DDwff5z4+v11/tfikgu6953S1oPGO/TixG0ZiKkfCSv6Nz8+nQHNRWK97vro843TZc7s78OFxw/NuON5u/tlaK6lkcjasu5Z0JKGGKc5klndMpbIbRg7TNGfz1HkxBNA4x6L/zQPVn4fwes+/fOz4Z4+GRf0GuZ3nn3Szg90pZnzB1d94y+FpxYcPN/SHB5KdmNzEzSDoBIdHcH3L9ryy/zLT/8uGUoQ4G3FYT56Lfc+bfSDnDk0r5PQtPmfsZg79VRvBRjKeUjsknwL3zBt+GX0q4BuMv4aL91STmKxAuKcdlIu9sJCEogQ6hnak1g47nHHrM6IJf/zcaFTqXSVoi3SKOT2wPHxgoXBuLV9frAjG0D8mnNzQ1MrF4Wue2i3p2KbYNoXaVcLLQM5zJk17387EmsDYddzEiI3K+6bhtEacq9QG+pIgwdAKlCW2OFbX75Gna2roGLoHjGQak5jWgSlOEC0crnjVZJYSeN8+My17quvpNntEZ94uDY5tKxycEMI151TWknjb3qIPDaqe5quOfasEEu3bFj9FTA7fLqyrUT7cbHF7R7drODeXSFEmzUizw00OFxvCFwG3dXTPlqsRGpnbAN+2Lb4UupTY9j1jjow1oE6h7tG6ZboW8uDw2w62cELmVAK/eHFJkgHqnu6+oyRHih1fygmTG3jyj7gQ6ICVMUxA8g2xP6HbPYCZoAuwPSPWQuoOfLF/YJGhN5ahgUNUwkOF7QlOgHYipTMkF7p6VIa1lbAS1goxKx/vE1k20DfEk0te326waWBbA0OjVGPpas89axClbfeE1ZxHxD3gt/il8vql5xehI45Ku+9o8qx8CPQ8uDOKtehih7kYsFLw7xuGsVApTCeFsyA4EbYraPYNphjCMqDS0Ijl7MtI+GgYDt9ZidVBejUfmH7KvJpuudUrdtLyo/Ydt2vl0ENvBHUDwojuPAwGmQx96Fmt9rhl4G3esIgXtKnD6c850BOko20DaS3kTmgenjiNiS4Jv9SG8HKJXPXwBOut4exBgQM78ezEcdc25C5jloW223Ig8WQjy7RECLTccdVPmBF0EnhaE5cQTwb6poU6r+8m6WY1mhvwCiH37NMNpyIw7SGODG0gnAzIVeY+tPipZ7Vds8FTRYhA236kKRN9CCylY1J4Si2704kpVNJTJbbPs+oMiIuI2vnk0m07XOfwLxumn59jx4lTfcOgHa0aXiSlnjlCgee9soqR0gh3L4Vpn2AymL0l+8c50JyZLAnO8uay48frCZsL79815PNM8QEOe/yuxeRZ1dlpQqtnF89oAd9P1MtbLp4rMlre3p/g24C1lfqhIYYLXGP58vXXPD15tmMDbyCeQ/WVqZlALWo9cio0h4qphfjFxPJ9ZbGFoX0mXVyQ+jXN1x+wKSFZeCM/xvtnbPfE25dw/l5ZbOCDhfqwRLcL9OQNuT2WGew7tNmCr5zf/Jj93Yr9m46nszf4bGlzw+HgoSmIL5wf4LCGr1dKv/Pk/Qk8r/HdB1KCEC3LZaLqTBzFsxUyRexm4FROOQyZFI9FIXHerFhWxUzACM11YgonPO8vkC8MbhxoHjd8MBMnk/LlBvYKk7WMTTNvVFWDLw0P3yyo3kIvlMeA+WQXBvAFOY2EN2tMV+m+GuBdQx5bYlzQdXtajVzFyIe2Zewq8Sygb1doWBLtGdJWGjOyNIFRDFKEPijjfUdtKywSaVnnhsmPDX08o2rHphMabsEMTI8TDEvsJ+unKI1vaS++oOQ7Uppot8JGHEbM3FoIVAfpVcR/bDCTw14rUgRNhhBOeVLDsin8YX/BV6eW5bpy1j3zT/9J5PFd4AQln2RyDyePlUPTEJ1HY4AKtoHLv5P5z05f8oW94J/9vwv/6vFP+NX+blbh6jynDD9/5uur16STE35v+XfpXMGhPG0NL/7oEfv7G+6ur/jwPyp3//iZx/vCxu8Z3ROvp8CL+pJr8+PfOCf91vY9a+2v/V2ONjtrBW8Eb+aGm09aKYP5NStf0flf+SSDYmbonDE01nKImVxmBZYx393GGfPtfXlnZ+ufCCFncqnkor/2mD7jrw/GmF/LAvuMz/hMxsz4/Dr8cPC7at/7D0UpVWs9Bs4KXeNpnKdvGmKKxJyZYjqSgfrt7T7h+6TUy/M1L89O+Ht/8w/58PjEh6cN/+BP35BqRXVuRVIUa4TXF2ecr5asuhYjhpALuSoX50tSLowh8s9/9Y4pJlIpfCve1jlaQIyZfy78u7fvnVytSVNHDi19v0dktl6Vm4mv9qf8aHPKffeWKTpC6Hk4fUnRgKQ9fxgeeV4UPqyV/lZIvmNaLnFrw9U+8vph4oETRlsIdsLFiUkX7PQcc6GgAckD/+nfXMJuxf7rC9bLP+VQIx+CQfoDJRvCoScUh/YZOR/h/hSjBe8HUjjHaKGTDSVd0dTEGfe8s5dUI7RmInw5ziG/b1a07YTRiIkTuV1Sl5CuJ9pfrpDBUUVglWhwnI5nPNZCMhnTRQwTpiR8jCyac4oXPizvaeJs/8p95sWT4JLhwTm47MAI3E9YrXgqCyKHDoI4hsMVksBooV9tOcvgivIYI+u1wfSeN6tz3OaADIUwXOCXD5guUpZfYoYDTRh5MU4IK7I0fLQDuSxQPOvzgbTz1FFozT3JenLjsDcJs8vIXhjyV9haMBIJLze4SWgjXF4G4mZN3q557YWPufKghZevntlpZlsqPnpMNpgCr1YTu6I8R4j7NUuNrAls+55UVpSyxK1usTlgUiJ3HTm2lNDSyIKeHb0+cdt8QTkZkYsnTDWYvcM+el70hcF6HkyHPAieSNuMJBGy9sS6wn71EZ0a6sczGrtBTAZX0H3DostcXk7cbVqm1BPzGj1/ZlGU6+eG97UhGYtpLPbqgUVOXD0pj5eJqIa86Wd1WO+JN2tW73YwVMboMP2EMTqrBnQmKoypVKO4qpwOme31vOH9amd4X3smDCLp2OgoTKlFXYdYpbF7YjWorZjTET2UuWVvWuGLYltofmKw7ys1FfY/mWjuG8zQkLnAsgUzEZcKYY3NhlN7x75cknPP5TSwpSWhfGnesekcwVkug/J0ntn3BobXnHaJzkee8x4/gB2F7b7hJYYTC3969Qxjg5lacr6kmoKaTG82OK0YUeJpwTYdzra4+wNhsqRoWOqW3Hhi64kXERMNNlgkCsuS6Wvi/ZlhMVrWg2OwVyS3I9knVoczWpPwduJtOkNcwfvERXfK0E1s2y0nbyoxn7LnEnv+HqMRWxKSe7LOCg0blzhTaFxgOE2YbPAHj5ytkRwxu2fakImtcjgDNzmWQTmfEm9YUazQNoV1PSN1kcfLe9YPQlUYO0GfvkKSxehIXT+wwvHj4ZqvTz4yulmpYi3YDH6nJN/OTXLTEk43iM345Amd4qtws7EzOeELB59nhVZu4fEGc/OAl8DpWyV6RzaWVD3GzKHw4WzC3Z/RjI4znnmkZTQe0y+oiz3STLRdQp48bjCcp8S9PWE0DZ3s0NRhqrBwW4KxJCuMy8xyNLgE2ybgzQLvHKdnA/k2EzeGjbym7w/4xcT+JtA+WNzesH8ZOX+0LDaet/aK86sNy5OB9/svkXGHSXvqGVTbUtVT3ga6GulIBN/T1UxTCqEucIsO13c8bAqrOrKUkduLCMnhgmd5UrFjj9kvyM09U10w6prmdUSmALsRHwJxWZlO4UePHbHADuW1JmIx7IvlcNLO7qpcCC9PMWXEHZ6pT6+oNpC7R5axQdQChnWcs6uTwNgYTC20KTG2LVYqXY3s6UnSUWWN5wmtnhDO6bq7WTUV1jg+oi6TFh6/P8cWxcuG5gvBqsF9bLi3legzpR+wU0fNlpgNTZdBIR0cfSMYIxSByzwiFO4aS5quQQ1te0++TIgR+s2C4VzIriDTHr/zSLIEY3g1TThT+PqFsnwQzOTZNy9oZIfXwHoqXP++ZX3Ws9z8McPzOw7hmXeLzLaDiLL+WDj4hmKFS7dh74QijpfPL/jx3+344vd7/ov1H1C7Lc/Thv/2//w1cihoLrxZbLiOwrWz/P7/dsWF+Ruc5a+4eRzIZaAQ6bsL9OXAbr3n//TfPxNun9DnLVl6yjJQ+8DqwdHYFudbvr599+fOSb+1UsoeCYf67VA8M+aNNfTO0lkLMn+/AlbMPNTXypTLrLT6RCIdA6JUZ3WUN4ZV05DrLNeP9TsB+Kfd0Nm7+0lBNQ+zWiulVMY450N8O7DL91OpPuPfBz4t4j7jh4t/2+LvMz7jPz58Ppf9leBo1bd2thl1bfvtJlOuhXBs1iu1ftuq9+mM9O2l/bip5aywXnRcnqy4Ollxt9kwxsiU8tzcZ8zRTl4xRli0nov1ivOTNSFGDlMk5Iw1wlhmUiqkTC7luzv73jFQq85Wm7/I0+9BasUey1+qqeAq51W4WRi+6BzdeEbsM8kVzo1FS4cUw8V5gXbk0E3Ej5aSGmroSGcjbpE5r4XedTwX5S5ZXJwoFKxNdNlQBKIx5KwghdpGLteePhmmLOxKOm4IJnwUSlJqMpgsuApNUdAW9ZnUQRwEzUKanWGoCKWd7YNGy2zhqLPVLZc52wPAThbEUJ0hMf9eowVXE5hEMZC0ZVnBqUEl4SuYrNjJYmMLTqiniqPg65wTEYpDVDgphWgMSS1l6ig+o86yVCG7CJJwEZzNeFfopgrFkbPFRKHLczNZsZnceLQxs+2nJmrNpNoieIqxmGVBxgLZUpuRaJSkDlsMtanQJBKRJgsmWUQq4ivGK6axSDy6DaLBoUiT2aknSgXJcwsfdSYdgkGroQCjeILJlKNtQ47HaVs8qkKl0oyKWIt6i9Ki2lJrR5GGaOZWOqMGyXZWhslM4hpbCBIpCr44QmNRtaj2dP1s84pRoYIpis0F6+qskM92nv/VEEqHN3NbVFFBpWCAKoqYiHiH9haReT1QisGq4KtiSyIbM38AJRP0aPWyhrbOVsViFKdp/lxlhWOmV0WoTUs1yq5OVJkte7aUWRll5kYtlwImg3qDKQas0ubKaJRiwWEonUVb6MdErXOL46J+yhAScmhxHqyvRBXa6miypw0tkxqKQjSC6qyqGWtPzWAAdQVNDajHJgWvVKdEGylqMWUWAaQ2MbUFNRbrDa4acqmYmkETpSvU7KE6zOIAyaAHQXIiG5hawSeLNhbpLW2rSFFMnf8rxVKLgxrn8xwQKyQVslg8FlPm+Jbq5/OWyQZyRkqBKpTiEav07UjWiWIN0S9pw9zoZoPMx59kss75VWLnJsNam9kGaAxTV8hNpYhg04JaKsVWCgU185WgSRU9Wvi8rdQsDBM4Clih6NG6Wg179YwoWQq9CMXMluWSHCIWwVGlBd9i7LzhY6VgK5gI0TUEcWAzJhhIlhodagBTaaoyVk/CYUyi0YqWSpwMRQ3ZQjWZUi1VzNx06CLaRIIRGnEglkqC5BEanLek2lCrILmi3ZxnBZHSeaQ1qICMERMyaSlkEbJTXD5ga8SkQrcXyHP+WzdafKpzo2NuCMkiWaltxkSLxo467aE1WAt9AeNBvKEvQquCV2Ggx4ilSp0dTW2mNoHSzJl5JlWKFIqraFMwJaB4kMrkItaArx2mjLOlsRiKpHlzohoOyR2tsRnN/tvrpgvz+j7KbNfEgWsVm8BqndtQ7Wz71KYe/bNzVl7t5tD9ksHnAqUQqtLYStFCOF7kq1XionI6VExRdFKMVMRnqp0QllA9CZnt46ZQRXAoRhVbBXsshxCBKnnmQ4ohS0FMBWsxNs3ZcDCfewViCigObJ2bVI+VoaWrRDMH6XNo0RIBwSTo24Zla3n1wnB2ojjneWRkmyYOY2QIGc4V6w2jLmdyjULxdrZO14YaWy67BT89W/GyX3NXH5nSlnHMOFOxndLVBVKUag2v2lNuFh1nVlgojEWJqnR95L4mPjxm4ocDKUe0B8ZKLVCyIYoh1QyfnHZ/Dn5rUmrROEKe2/S+c/PD0llO2oaTtqHxhqJKrooTMwewGXgKiX3M7KbEw2H61qpX6rFtssKXp0uKKoeUeLM5HENNj9a9Y1ZVDhVnDa133Jws8UawCl8/7ZhS5jvRlH43UH6WT/17xA93JfcfigrhMz7jM/7/h36vx+V3FT/U85OiyBwEQ62V1WLBatHz+vKCu6cN2/2Bp8MBjlY7Y+aw33/9+VZVrJ1zpxat43S14HTds4sTd/s9t7sDxphvCS1j5owaI0LjHa9eXPPVyxe8u7tDtjvK/sA3H+952B54PoyEOC9yvyPn5/v/NGj+RZH/IGPfK/59novDmoL2iT9Oji+/anj14xV/65evSecPhJsPnP2rHVKXqLvgZz+64Gq85erpLf+9OSNoh2iL7j/gzyrnXzX85GrF3WPPv/racXfYUIi0/pnXh8hkDPfe8Sf/IkH/DBe/4r+4+Yo+rPjSrPh/vbln1APSbFnUJ1JYMDzd0NgnGgJdCPhTJS4rw1miPuyIAZ5Th+UAriMur9Ay0JfAC/+MzTBUzzs5gcUWa5T2YwckTJewx9cWTcAbvG8pdITxnCU91iae24zECV+hkw7CCVUtYg6o7FCdyS79CL5Wronctw2DtDxyhpm2NE3k5emOwU/kkmk/QrOeVf7n1vLusGQ3ePpxw3mKtKrEdkM8O0PbhuabO4KdCBYGfYFQEJPobyL+sVIHw5bAnKQk7FhDOyCLo6rOOVzr8dzTrSNuoWj8KZQtVffcbRrWy5F+feAXb17jXMS7gcPdhAHOgP0CUrakZHljG3o7srYjocu4VJEknMcVex/ZNXcsx5F4tWJ4eUJ4AmgwsaWgDA3oAk5dg6ZK/vjdAlARNlNLmxMX6ZHbGyjxlLi54fqrXzGZzBAVf+9xU8DrWyI9VQ2CciYHmBaM7685uXhP7A4UErKfz7CP7YgDZGFJ14H12xGNcNu0vEqCyZV9COzbllIVQiWGFaZkuu6J5TQvIw9tS58SUgoRiF1HUMemtpjmHGkzh/yG9gBNqPRhblbDCl2XWE4TWix34Zy2HelN5upWeLeA0SptF0k3J/Nu+M/vGfs10lh+9ARPEebeN6HTTFMiddfxIlmWpeWgL2maDdVuCSJIbLF5wUduaNjN7+0XmfzhGnO3pGk/EEcIUqntvFgWLywwbK4yj8tC+3WL61vs2qHlfr5eGRjPAjyvkcMZeAPbBTy0dN1IWgZoJvK2x5w1uFPHOSOlK2QysoO9nnHHKf1wTxbluQN4wKnico/jkj2ZZ0a4vEUPnvzcsZvu0IPFNy1bPWG1HHlx+Y7dr5RpsWa4ekFs/hQ3FTogBE+tHTEuaDeZuuyI5xfwBqwGTAPjlVCrwABx6qmixFYpbsSogdyi+nE+aRRYdkKNlnho6XxECQTdo8WQi+MXmqGBJcKXe2EwykE8D6tzunwADNJ3aOOp3UC8vKV912AOyqYOjM0p1Tq63XyOKdUy6QENGTFKK0JJK5LxtO0j65QwqmRtwUyUrvCuUVRHTA20ORNJFGFeeZslRRoe20IIgmTow4IkPdEY9m1LXAZKVzCN0DQFbypDaHBjQg6Z21+cwnLArgInTw8wgozCzaZj1xiCFa7et0wa2FKpRHaHxE4T9uYtebqA8ZR+yDBUrCa+NIHtuWd/tuDsZx5fDSKVJzllbx/J/oG+65nOCrtz0AOQ5qvlUwzgAlw8oaPiy0BTMuM0ouM5NVyibLCT0NSWB8CVhA+Bt5xinNK2hcn2WM20ZaJ/85FqLaXrwD/j+kx3IvTPEZfAifC+bQknSrpJNN/M2XmDNcSriDbKaAyXfxLxtUCTOJkmorYcGOfrfBfgfMPiDciklGki9xtCB2EFp9s1pgih2cwzQja0+9nOb4xi2ziThUDXH4muIoTg+bCeoC1IU2l5xqSZjGpul6BC6QZgnPOjEqTQgRrM6p57CxI75M0XlOYBbSdaeeBld8WLq3P++L/+ivEf3fHw9ol/MP1zvAiNUxZjoHyATMNWrrk++cCi2XN7aMlhTak9b5rC/yo2/OTQU08G9u8/sn33nrPwkrvrO8b1yI/+9A+5L4FvpND+6gXX//OGlz8KHFye89fUc3f3yN//kz3/8Jsdl/dv2VwozycWttfUMQITLNO3r89vwm9t3/tbX9ywmwLbKXCYjncgQmcNJ63nrG94fXoyB5TWQlLom4a+bTmEic0w8rAfeLsd5hzNTw+AWXV9uezwZlZffdiN5HqUU/FvGcZlDiv1VmiMOQatV0otc+akzrlVBuFzEPq/H3xW2fzw8VfxHn62rc34/Dr8buP7pJSR2TL+a+rbz/h3hqJona34pydLTpdLrLU877bsh4mY5mrnX8+GlG/zphTFGcP1yWre/VRlCIHW2TnrqfPshsAYIlMqRwv5rz+GzlvWywV91zKMgZQzORdyKfP8UOr39rH+zc/qp6/l/Jt3+v4s/B//m7/Nh+cDbx4H/tn/pKjN+DZx4YVXy0u+XF/zv3x5Sukjh3aie6u4ywb7suUpWnZPe55uN/xffvY1w7hE4iVVblm1mYtF5T+XNZw7di8s//QfPzCOLaWe0Lh7UhMZ+0JzmO1vWOVMX9E7WLaB99snYq1kLDItKX1hujzQPRsWoXAeI+/dTzAmcebe8bH7Ym4vnBkPVAQ1HhsLRivGZlK4ILtCOH3gVVOp0XF3v6RtE+YYvJ3oaUrhJj7z1LZMvSFeKIv7BibLkCyXzRZjC3uaOWCjdfCqpX49UaZIWg1cDg6fWzZc0Lx8xLtK/+YFScZjo1dgdEJRh9uccm0faM3IvfFE5hDuizIxWUsQzz6d0XqH9YXx/D0lFLSAWXecFqXLlek5MqYzKh2vLm953F0wDgte8IGN7TjYFlqPryOuJkI4o2kPOD9RtIVakGMj0KpGljVjU8djJzw3wiKUb/f5qjHU4+5/fBk518p5qnx47rAh4VOmdGtC9cRiOS33xCvDeONw7xtIs3ICoLSW3DoWU4SaUc3EZZwVN7FDwhrPRGO3JA85L8jTCeuTe7J6xniCpJGVjlzrgbfmNRDo9YFRL+monHNgu4CgPVM85+rsHdolDgtBP3psgpaECZlqIfZCns6Q4nAFcjvhTeZUC++dEL1iFoWLu4pkw75ryTKhzkP3gvqckJxwboLOzsqtEmimS2xRbHlH6DrqMYYkT54ikM8GumBxZW4gHMopWoWz+pFd85KCZTl+TTXz72xtxa06qmn5+HjCmgesC2wvT2kai62O8u6ES7mlNXs+eE+KpxTx1Bd3NAfBFku6ucQ8j5hDQCSRkqVgqddKtxvohsgJlqlXxrZyyILL17iyBvOR7CLZKBpe4og4Ag17Ci1ZW3I+pbRP1OYZszmhcz2da9D2gZRaSmz4Kj9Qzwz5zMGbE3YLz3blaJ7v8Gk+plKzJtjEZBIv0w2DGdjYZ5zMaqWKoYlLTuk5l55fuTf4umCdL3lu7sjZUkJP6XdHJZwnrw6IWmzuIYLPiTYPPPtraCPt4pn1w1fYEhG54+ONp22VF7agbwoH67m9WnAe19QAu23kZbeg0YCJt7y7UsQKF9WzmZSamYP6o6W1LS9WFzzv3hJMJJ56Fhfn1GzZvJtomZACaWpZugEvllYv2ftnUGUd1myXW6ItkBdQM0JFJEM8mVPo26f5GlYLNk2MnJG9w9w8QzMLJprHBkkOEYc7acm7CFNhFYRNn4gus95HxjPQVvhy27L3MFrmwohhQYmerAVsmtV/pWPWCoKVnjMT6E3kyQbCIpL6TG067F4xUcmvM92dodkYtjcZNzns6KGskCaCC+QcMKs1brnisgYOQ2A3BKJErLE4cWhVFo2j95anXWSVM6e18jafkI5lGCf2niqeLD0v4o69rHiUM5rmkWoC2STK/ivwA3QPVLH4ammKJV9WTBTs7qgwMopYJe8usU2iWW+Jg5C0IdJzLg8UWg56RV/fUkQYOcFNFSMF10b6aSK5ju3pDTebZ1oNWB+475WYWsr2glPzAK5w6B0vLi5xyZI/JJ79gaCVECwiC3opvJAHPiyUyVvEtzSD0khlvc4Mj5mUhdQ1pNGjzmFed7z4sMOM8E7OcIstxiW0KBcTNFKJ14n95InJQWwpucPj+PFKOP+vXuBOLY9//18xBBiS4ePUsSpPLOrIiSp3bsXe95SzBX6XaFPhq7PI1eslpvf8d/80cvVF4PIs80d3no+HPfdj4u3mBel8Q+1H2vevSYsduhi5bhxXr69Yn6+4//BuDngHzK3jMU1sU2Q1GrquYLvCh+JZHZTFqNxfnWNTwsXIZrP5c+ek31op9SmMHDl20hwvlqkqUymMKZPKPEKmXNmnzFSUsUBIkUPMhPxvyt9nuS8cYsZbwRo5uvvk1yqaP02ZOv8QUTO5CNnMUv35dmAxczgXgtZ/+2D5GX81+KQ2+qw6+mHir+I9+zYD5j/iY+L7553/mF+HHxqEH7L283cB31F91gruqHLKpZBy+TbMvB5zJP/16/Mn+17beFrvWHbtbPErs1p7jIlDiGyGo72uAt9r1Ps+hpAIeYfs9jMBVX/9+zMPJv/GZ/UvE81Tg0xhztg0maZW+ghbr3RDYBn3xJ+2BJPZDJHH3dw2V7vEYeMIQ+AwZdoqHOOYqVqZtPKgla/HAbcwZJ3bfcRBtbMVr1ShZkvTKDYrMgnPfmLIhVhHbJ2wCJNRnBWaBlYrpT7XOS+0X5CDwRWgGPo+owIWzyRhtmVmxWSLwWGlYTSG7DPSF0hzOKyIzsGwRpHJzBlLWonGzO1yKFbybLWxlmo80SoGQ8kd9AFpKi54cBX1zE1eXaHUwji0SOmwklAbUa2zpTAVXLWowoRlUjPvRgMtx3kRCMYyiWVW28/ZZLX0qIzgM7QBN0FTlUM9qgANVL/AWIu1lbnjCWwR2knxpmKoRCqlOrQ04CestXP2aqzU7KnZspbIDgc4irG/trPsTcU6JbnZFRB1tlZWtQTm1icx0EimYKgFZCyYPHvG6rKin+xHGEwaqWqpdLNazViqa2lGj5EMuLktsM5nwjA5VA2mJGZN1bFsqDqQjIpgVREpZJNJ1ZNVgEppK3iFajC1zpaQCs4Z1BmKd8RpbiqzWinezu1f04RdGmwrlN5STMNcZFZIWFTntjlTC47MoslMmqkV2gjuaDGLLKjMFsWmVmLjyBb4pODEMGmDK/PjUyOoSagpJA+LohiF0UAPIBXagRozps5EQyKRpaIoSQV7tOlY5vbFVC1SCyYX7KFg06wgzdpifEVswSfBljm/zi3m+5TJUkQQYxFrsQW0OrQKy6DgM2ojdRCqU3BKZyzRGaKXuc0vJSRyzO2d7YcCiByVhswbMKKVrlaMKiqQTZx75tRjZNYConPbIszRKtYUyFBSg64dtSpliqD9bDmtBiMJIwaj9hjfUsCOs7LV1DmWJYNYg6mWjgg2MTUKLeAELXPLpq/Qj0pRyFmgOlKxiBgaEdoyO3UWatlWoWqlyGy99erpC+yLp2qhKRMwodXRHCq6KFQjqDXMnZjluCkyvz+uiZgCJs3nYCNzc5uvEJq5rW9RDdHMjY99Bu3mxkObKwkD1bAYhKSJ6gulceAy4grJHd1daim1hVJwSekCxOJJ1pKrodaOKhZrDseZUsg4pJnb+nJoEU00tZL9vIRuFBKZpgouC/uqeJvpGyVawVKxtRLUUbWgCMnMftVU5hB3mzJ69AtrNNQ8N+6JFdTP75VWf2zQXCCiCAkpZi5CM3kmuqullgZbZvudChgi1IoWRzEFqqOWFqkjUubG1rKYj1unEKxQHJQGZASShdihC5lbYYulCTPHUKhkI7MChuNrbCpGErUtlFIRhdhAdMxthio4FZYBmhQx2VBLxZu5YTaKRZ2bLcNVQGdrsaOgrcxWZdG54K+CzWY+H6ricsY3GSqUUTBTg3jBtgFLwVWFEax6vHgaZ7BeaUTpasdUIjkknt49kbwniccFN2/2wLEbkjlbUQdOzlasvefLiwP+whKdsjpL7KYDhw8TcmsZQmHIMh/3wYB2WArFJ3IT2E2RcLfB7hIPD9PcfCkG/2zIXZ7t6qHHGYMRO5PEalE8Nc8zoOl/80z1W5NSH7Z7UqnEXH/t66UqQyyUqiybkVwrU0683w7kb5vyvrPTieHbDxEcBz+BfUponLknO3/j1+7n211M+JaEqlWZSgUpczaFgd5b7FFxtZ8y+bjbPbcAfn8Q/UxQ/VXgh77o/qE9/j/r8f51Po8fuirod/kY+F1+bH8efveVlJ+vB38ZmDeUjvL1WlEVnLMs+hZnDTFlHp93xKPiaM5+Mn/m7/PO8PryjLPlgpQywyYyTAFnHFDQWkilzITU90aTfxvBVavyqbrXGPNdXtVf0nP/Tfj//P2Jezdx5wK5P3Aehato+JlXnofAcvfE7anydNjzzeMD7/+k8KyOJ+cZxxZ7MtGcj7zcX9JR2LT3lHaknsB0LvzD+7lNx7wVfn8CuxL2N4aTn0+YvWfcLzn78ZYuVOxBePPjj5ShMnyjnIqgTWVqMgvdcr7w/I2TNe/Lhq1teby+obyzlCI8tg0v21ts7Ujhkjf2PUULvfaUttAUx026oDb3jM1E9MLTpsFEQ9tF4k2kVqF57zlN29n20XaIKCaCf+8BQZuMnB8Izy2MPTFewat3GD9h3lauTyL0wi8/nPD0k8M8zf48M9ydM5nM2N6CKE1VXoZIVmVUy1sMG6dE43gZAlmXRPE8dMpkPBWh756JJyuK6+DtF8jlB1g9o0HhAeoIu5eCH0ZcUd6dvcblZ2x54lE9kFmw59U0YYEiQmyfCWZFMCdw9paF6Wm0YbqdyKyItAjv8QXapHMuCt+NwgtfWDSJbYKNgZ2Bm6DsS8OOBonnnK2eOV3f87Dt0SD4j/PPltNMOsuU2xbqhOQnugChnjGaK9p9pnYdqT9huYu4PGcHHfojaaEQQo9zgbZ7nnNeS5mtfBSKEVLTch2eSMbw2LSgijUTxk48rSqSLM07j58mkhM2Jx1fNEo1DQc5pYvPOCZsCKT1C0br2foDZ+sW33j2TcNoFqgEJvcedqdYNTT5Dp9GOqdcLgy/skpNsNyB8JFIx16+ouGerg5cxEh4Fcni0DfnaDuixhDjFTf6Di8Dj21HffVM9YX9R7gePC2G2+tA2CsmZrjaw8NM8Ha7CfbMSj5NPGhDEaUnsmKLKYa797+H0/d0bGiGgSyXJE4ZaFi+umO52nP2c3hynmHZkX4aSHeO9OiQsaW+8uTziv2aY6h6x1fylmcsG9xsG80eVx0/Og08rQtPS+G0HdDnPboFP4E0mdoGylQ57Bzb0YPfQYb2CW5CYG8tT20LgKQTpJyyvf45eeww2yvabjtnpDHTk1ErW8342BALfNARm25QzaB72twi4lBtaYZKWSfSdaJ521CqYWxbPDsQoe4bXL1jXAq3Lzy0iTAYPn70vC7Kuma6hx13bURri2fJQ5gJrbbxvHpSmtpTuSGun6h+4CQHRlmiRci7Aa3ntDVw/fSRP10/kyqcUXl0UKyhRzk0hYMU+nDHWRewfWV7PlHee+we1tOesZ2f11kQxhf3YOHs/Qn3zUxQro2hv9mCh+4XcN84shiuI2xq5FALezPipcF4w+Z1RN+9RDcrDibQhC1NGlENLHWF1xO+SS21RkQCXTeCKFqFcQROB2RZ0W/OQSdgB7ScbqEvwm3nWaZEq4l9Br8UFr2wjKCxQJgtfk9r2Jw2dLdKvK+UukP+6EBuKnEF/aYnRct0bNwbx8oYlPDjyPR4zsNwDY3gZEsjAxMtNhnsZHlzUdGomAG6EHBkBJj0PVIWuHTBoT8QS0eIa9bfbPFknBH2Xxm8gdOolHJPsJWJSEcHGEQ8U+1mkigO9CiGRMMDQ9tTjqSU9SAk2sMTj9eBKhWighdwAXN5yza3LA/CV+8jvH8kqTJqZRmhtZbaC1OvRITbsUEKLGtlmSaeXnpGLOVdS1hPALQ7aJqCrZHFr56R10JaOvSbHSktqcbjzraMoSENgnko8GKB75a8GBZ8efORVga++edrfvEPf8HB7bgGTnNGmD9n2bUcbEscBtq0Y533XAfD3/3fXPHFH18T7RP/4O3ALx8nfvQ3Dmz+p8j+nfKr3nMucCYVoyPbw4o0tHwllVtv2LXCj2LL82NgkzKM1zj8rJRTcKf3+LMEB9j5JaVtuPzwjqH2PLOGx4B9Ae3Nd1bxPwu/tX2vaTwGMCKozIRQ+d5uowDNUeU088WKHjOhGjMz3EaEcPy5T4Hpn+q3zSf2VSHrrJSycgwFZJ4l3af7Bry1x50aZUz506yJM4I9Nvp9mjoVGGOm1kqtFWvM56ypvwJ8f3FRa/1zbvm7ix/aov+HQkr90F7Xv0z86wvk/xhfh999Uup7OIZv82vFHn/9+CGQvbMNT9GqnK+XcyGJGIYQiCmRU/72Np/wZymSBPDO0rcNzloOUyCXMgehz1Grv27T+w17Tn8Zqum/iH3vP2lOeGgzD13B/+QlzeOEvz3Q1kARSzGes6uOicC+jKQIi37JcrVi5zb0u4bVU8d9GElUsqmM7Yg2C0x3yh8s75EIYed5uO/nwNlFwo2Z3HeEkxP83Yb/H3t/1jPLluZ5Qr9nTWbm7q+/8x7PEGPWQHahblXTrUZIcAOXqIWE4Cv0TfMBkPgUSNwhcYGEEDfcwQVSN11NF1B0VSkrh4rMiDPt4Z399cnM1vRwYb73ORkZGXEi4kTGOZXxSDvODt/uZu7LzNbwX//BlUQjldnzJUubOM8b/uTVGaqFebtjXYXTNvCj444/mY+kXaJ5nbg7fkJGkbjlqI6ohegd0eyQDO3+4LGhgldP8wRiVW6vCyYHrCihGRhPRsRW2mgIDxfU5NlI4un5I/jEVQbp5uChhi3hbYBdR4xPWYQrWtmzSIVta4lOiK5MSWzVon0gHSUwSrOFtJikLfNHRzrKpFAZq+WoUbyDsVb0+gl1CKTTV9gxIGooJyNhPccOgUzB6BaRSG5bTiTRaSUN4KpBjeXzZwsYA24UXq5v6FWJRukuFFkrZW+5NR8gfsDZntO6xWFQLK/jMe1JpJtnjl8/Y3W2YnWyRn92jjMj3o1cmpaRxN5E1ucR3QZYB86GSo+nJ/CBnJDCmqF5IBVDzoGcG8BjjgV7JjSfJ6oMJN9T55WSZWLA1SeoG6h+zXwf0FApi0IbzsnbQH9rufjgNclE1rnw8lbwSdBqgIvJq8cIroyIjZiwpx1Hcge7M8H1DkmCSYZlc0KhsI4b/NFIyZ7944JFXmGkUr3n5IMnVKeshwdkq+TkGfKStu4QEtVG0mIyUmdfeLGDLoD/QHjz4Bn2Ht0veXJyDyJ88fCCprnHUNBxTvr+itpG6spixoJkgx8XBCKqsM8L+DAhXSI8bCYGjwq+L/iFpXrPbTrBujW+DCxfCZsTyF5YvrVstGHAYkzF0SAEMnNOeUvHmk3TEOegDi5uDNvn0J9U7GqkeTzCx4703BLiBjOOXK8+wnZ7TNMTI7DImDZz3A/4UbDRsu/PGc4G0nLk2aslm8WOzWzH8qaSj+bExQz3mSdrokrkB2HHYz3mri6piy9w1RBy4MVwQmHHIGsem4aKQ9Vi/IDtFDOHzecBXxItka1cgk9I2LLcZUYX2DYd3XlitissbgqjyVgEj+W1LsjWQwg0POByxKVEbBowZurXTU/RQCrH6OIOaSq2swRtkbFQHntOekMqgfsyJ7QVYw4yusFBMHAm2FmPjsr4OtA+V8RW8j5THp/iTeX07BXshDg2rMYnSPeAZ+R4zDw2E2fjeMw4c0xqA9dPDe5+h+yhjEus9AQSpxpZz0C9cm4K610lZsD7iTUTKmWZyMZDMsyuBBlHKpVx2SBl6kfGpwuolgOdkVAecHVE6xy7A8mV7UXBDB02OsywpiwztanYq4YFEY/ytn9CuFzjlwN+fIK4NSp74k0zsR9RYjPh+EHhvEbWLay9oX17STU7qu/ZH50iY8LGjLloiHlPiTuej444whBhb+Y4rzhf0EaZZWGeDG+6jyFW7Dhi/A1NToSUuV4mTG0JqeNoeCQdO/rzFnuVmMcFx/mEahPrWc/dckN3r5jDcrJ2Qi1CHS3zi4EYDZvHwMxVqgQiCxbDFaUGei5YhFuMZCownGe0cUjb8eKTDclWrp8Yyr5gB6XbKrlrpjAEMxFnJAXMfomeXCFk7N5P8xIVZsVy80EluUrYJJaPIEXYBYdoohAYeE69fIsxkXAdiKNHFDo/cv5siRjD69dbTnPFivIwVxbzgqjh4c0RH551LLoFg/0ew/hvyOMtdgXOJ7IV3soZx/KIswM3R+D2ATNapFbKSUb8JIX/ow8bTk8DP+WIm7cDu/VI1/QMdSTWTEnCLHs8juGy4+i+YbaxFF3zGDp2NtCWkaXsaCXzeXwJywE723P5dsS5hPjKLQ3FWkSEi/WGVTCsveFoq1iviIObzS9PMP7aTKlc6sHzSbEI5RCJd2CuUlTpDywqEXBO3tN7rQjOCM4YPFMcc3+YnMIERJl3STtmomoLHGwjD+9B8HYyUk/vdzsFJ0Iq0+taJ+aWMk1anZ0SeJwxEIRaK+XgIfHOr+Kdf8Uf6rev78Ki6VfVd+G7f50F1W/yO74p4OCrkr0/1FTfhfvqd1nfGYDyq8/A7/FrfJfLGkPXeBZdi3eW/RincfcdoCTm6/VhTNT7PiYgMbwzIn//r1/WO8b1L6vfd3+0a3qKKE0VjrOQC6TDPCSLMGDYXUO2lmw9dp7oTCWUgpln2thw0rQQevaxshsqNU1rGFRR32DHSjMo7QxEK2HMrBdCFxznxlPTklp7it9S9y3VC2Kh6zyahTbDViBmZbUr5KbBK5yanva0MIhls+vIq0zJheQS6hSj5pBKNiXEVRvxOEyB2QBjW6leqa1FskGyUKqliKGaAwAcHOKUZozkqmidouttVlQyzPbIWLHFEvCUrEQUnCBjgCKISRiJqJmOh0AVQ+9bih2oJoEkVCxVzZToREE00dbK5Pkg+GKn3WdRVAWbpoSlSkB9pYiicUalUp0iOnDIkp42Yw/S1dGYSTpnDIjia6LVERcVoaCi1FAwNuIksyUwGEM1FVsLXgutVIIWkhoqAdfHdzu3FDu1uahDqNM8vCoS6iTdNA4GwSTBDEJXptj0Yi3RNSgJm0ZqZjKNNz3VQLFCchCaSi0ZFtP5VAVRKDUgOglFLCOqQikz1CScCL5OUjI1FVcE9nNUoLSR5HQydc6GlJWa9JAAOIUcOAzkKQ3OVENJkzzMCWAyRjNNBqdKBiJCbpkAytGjyUBxRDrGYDCmYMyANpZqDCp1kiAd0tYm2w+loycbQ6oTI1Aikzl/tgxUila6USeQAYMblHokZD9ZhlQH1VewlVAMCAxNIJUWqR5qplglGkP0HdkOiETECCW1pH0gSybgMbXBlDS1sQCLhNSIjJFqDHJY76Q6rZOsgLGTv5DaSN9Ov0P3jpoL2Qqlg3YBJU/pW9EMZAVEqbaCOkxt6H1L1YFyCBFwZJwk9tEioeDkHTB/ULugFJfRbsQMk5zP2or6Htwk7QpaUQPFVxinhDOzr9RgKdUj1UwpgICYQhQzyXIHB3M3Jb8XTzRTyrse5L6IIjZDiKg1qEwLf6VipGdeC6pCChBsQl2hbzJIoUplG2Dx0GBiOzGkCgSm0SUUwCilq7hBMUnxaZLhqUK0BtRTgCiRlPwkCmr2AFQRsjHUGCZ5+fHUt4hC0oL4STbcDp5sDvKy6jEkRBLvTGze9SONjpia0So4jXgplK7ifUVMJZDxhSlUZD4QrZKLw5SAWoceSAN6kAg2AqUIYxF6C5kpSS6ZPOm/ipmee1NRl+n3x1ATph4kmNOdR6v10N9WdD8BMlZGDD1GhVALGaViyZgprQ7FmEjEkYwlBmg6T8ERi6OrI02ttAqm5TBGghmFmgwpGUKZ+nybDb7xZLFQC74GvPrJF9SYyc+tekJZT/LAWki1IZuCaIGxgQE0Kl6E6iF3ihkmyehohEBADjE42UwSzFIcGgtSBVOE6mSSeTlodhMWMbSKiwemdmmpoYBURlGG6DFisFZBIqCYwSOt0njDh2enXFx6bAjc77ZsNoU0QGuVGdO4lK1h8OAcUwrrAdSYpO+KirI3wvXjwHaIfF5a4mOi9BlpgADegitTEnBxU7KpkYSTxKYdSTpHtaUPPW0GX8DrQJEBJFLImMwk8w5AmjYlo5+hLmFNxliwCuZr7Ol9fU+pOhnbWRWcQkBQI+yVg1b7qxR8PQBNU2dp4ZCaZznvOlZ95M36nbTuMFlUsFYI1tB4P5mVH+L0jEyft9Yy5sJ6SMRcpvcGT+eh1ErKlbFUclFyUVwWvHPMWsez4zkCjCnxZrUh1gIik1TwIDr4Q/3m9S7xSPXdk/GH+l3VO9+u3+Xx/1DfcvDkO1y/zzb9ldf0D554v1m93+SZAJAfvXgKIgwx8fnVLUW/lM19/UMqMZdJAsJh4+o7DHTfXsBiLbxcwwd/fsVDrVxr5foJmAS+F2I8R7UgMhBm1/iHHrMdGD6C04Vw9n3PP62W11eJP3sc2Y6Q/J60GPmZvGQ+7jlf3/KP/zjR7oTwVvjnH1qe7YR/+trh3XNuyy0/He/582vHoyY2ZP7BjxNjn3jzxYC2LZuU+IuUObl9xuUs8KMXiac/VB6M518/nvLqT3tiXzE7GDt5P5OM8SDDMz2bm0xbCy9t5NUTGGeeFI4Ir0D3Qj90aLvDhEIjcNssaUrlxf0Nd9vEaC3g8f2ANiPjR3vGK4/ZdxyPT4Ebas6Mdyc4PNYUTHNN2HpqUMaLcfLxioFhdkzYC7ZAdplYLLV4PBDGe0IpnN0JdwGiMTx/M+ftky2PxxE+u6TRhKMyDAvSkKkod/ISZUToCbPbiXEzWK5DAA749gpAoQEvtyxTZhYT97ViAbEK53d0e8Py0fKXZU/dR4TMol5zhDCrQmHE6oKFzrH7NeZsxL5I7K5aarRoCtyRiGYghgFzaoAwLSw/79E+YUpmVqcFaI/AeInLPT6t6IcN+BGZC/RAtNRHy665Qo4cHM24+ckRtiRC6HmTz3F1z1xvgBsiCzCeENaEWmkHy90TwWfh7DXcckpeJnj6htu718xj4Hk8Yr3b01dHNCeUZqDVyEVUPnm4JonQxklC5rpC93RLfFsI+8rZGKnXLaMxPLSVu/NIKZb66TFd2wOCiOXGCMZmmvaBdH6OCcpJfMWqQt4YmlWDqOC1ch5H7kOYfH+I1McNdpPpti22jmQqEdjtJj+fY67YVU9qPNtGKE5Rq+xbw2lMOCl89vwYHgPsLYxbVm2GxiD2kjCusGnHfQPxYQG3DU2bIHVUCZw2r1hHxzY5+OgLuHfwaFC7hcczdDjB8YrRW3YhQNiThpFcKg8ftdQrQa+FPE9USUjuOf0A1vmEGJdc3w7ASHADJSguzwnpnNdnUBQ0K7OkHNXKcc38ZFiQs0H3QuszeEjSEnRD7grpSGCcQJsmRoZNpSTLEDxP6shuVrk5Vtq7gWbYYceR9XDJKPPpXo0D1kbapqfNDbkEIiBnCxgc+rMZvr2f1DW0bDyTLI7EsBhR34E9hd5i80iz6inqKE1Fnm3YbqY1rFkYlJ5UlVUE6gXGGJpwxfE4sTgemobTcaQ2lauPhOefPdIm5WUUhlGJ2aBNYTCnZDqK9ozDET4ZGJQcKmnqBkhpiUZL8zpP370UXD+wPxckOD68Dqx8IvsKDNjViNtPY960mvIEGejGEVtg+9kTGh7p/JrtHwknW1hsQGLk3nkeO4v5cE957chvOtYCIVi8m+A2N8uELjNvYLv27PaOL5bK5Rpe3Cmv2x1jakjpmNluR3QjgymYhxbvMt5nVkCWGcV0/EjesJoXro+hPjZIKVQpOPOWec4caeaalp4jsixp81s4gG0r5miMmN0WPTlhYxyrXvmQK5pdw9PdJcMHr9m3hd4bwquArYqzmeXtE0aJjN2K5fySISv9bmBuntOqYom8AYbSktI537veY8zI3iVu4gs0K+HtI2U4o6hjJ5Wz+IbaRPrnlvAqIEOkCbc8fTzG1syOG7ZNw4hnzRzedPgDD3L1wiEhcjxesxyFkjMDV7irgVoCO/MEPnoFYcdwW3hzU7DV0DRwfaSIFpY3Bd7C6XLG//w//pB/+7Hjk7rli//ynxEkICZw155y628Qerq4op9n1MDi00pplOKnuZZduffj0Jutoa4NfT8SwkjbJBDhaAuzIpME97IQ50q9EkpM7Gxm9QJIBakFTh+4fx14uG245BVxFxgHz9u6wPtMCBOInZMlZc9wcYpPG9q0IbfQBGEefvU86WvL9/77/9P/GV3jaZzj/rPP0BQhR+7evuF+s+VhO8UxvzNC90bwBrw1nHbthHSr0jrHkAubMfI4TDufRgwGJTih84bzWccieI7awP2+ZzsmHodELBNLKpX6XlZhZPpM5xxHjWc7RoZc2KVCLjpJA43QeUcXAsuuJZfCmBLrfqA/pPX8OpPlP9TfLBHBWntIPqqTf8cf6ndW34WkvO+6bO2bAif+AHJ8t+qrAPu37bp9a+8lnST7R92MNnhab9n0A2NMjDl/JVnv64NKf5ss+fdZv41873/5v/7fIH4AN8CrgDe3eHlL/a//kj+/3fAnqz3DDJq+0m0ruoyUhYWl54+//yGn14bjz5X5P8jsV1tWX6z4L1eBFBS3qAwvAxem4+M650flhLMmczYf+PRFw/XDwKufPXL6ReaxJD63ib02CBVLxF42fKwd/73hiJ/t37AuiXWt3Ng5WKX1mbnNHD855sP/zveY/+ktNznxL2aVh08VHRNBdgxNQUuD3Z0DYGVkZu/ZfpBRp7jeUG6eUEdLKXtEJlZF02Sqt9hS6NZbhicnpFbIsoXrBU0yXLQ9j0w7nZdLWN2NjBGin3MaCl4r+91kVpsPrJVun7GilOeB/CiUEapUSjylloDqnqO6ppFIbhr6cgLV87Fe86Zr2dvAky2MqkSpbBdbmiy4aki0lJOEdJUX2wX9bsswJLZyinMR7xPtseA3CfrMzRNo9hbfGzJQckctAe+u6Co01VHkB2yO7tjN73AKp1thuRPuQyBkaFVxHwYkJnSfuErNgcExsXKKKajJ4GBeZszzgldDolIRqTQsENsjfn1goAnVwdF5obeFtRSsHBE2heZ+YPOR4kfPfNXy0B8jJtKENaGvGG0RWdLqG0YaHuUS195hpCAV+hcj2IqrwPXRBPiHhB5YZ6E4TkpP8nA7CzTriCZH0gXjsxWhFi7uDOsQUAFPYn8JNQfs6yWcr8AUZOcZj0dKNujVEV0XMQZq9RAi4gouGEr2iFRm3Rb/CHkM3KVzztnjTWJvC/t5oRhwm2ZiYuAY3Zwae6RGQrOnYBGrdMs9ZSswCosibDpHMoawHRHnKL5he/IUfTTIUAjudkpKo+JGGNVTsDRNYukUj+XN/tvOKJ0AAQAASURBVAxvRpwdcc1AaTLFwn59jNeEk0g+7ZFdh9kHLCP5xJFnHj4/xtgtxm3xVRnTnJQ7uu6RhURmFB4bT+9hdIK5PsKZhPUjw8XAcuc4fvR8wSlONwRdsZsZbAy4GGhPB0JU/F7ZqlLsJGP040jxhtxZXIKcAzF1VNcgbgfhgeYUbN9hV0tOntwTo7J5MPTxKVYjrT5gXgKxoLeZYAxRGx7rEnm5AqkwGGS9wOdMq4/sz6fgheUa7uwCFxxnC8Nd01BTJqzW2HGSGaeZpw7nIBXTPHC+nBQ694/gcjMxnEzGHWxHsjFUnSEUPPckCx64jMJ17BjE4FrF5QtcbWhJ2BoRN1IuHtjuPDE1JM6wusPXwknuWF2uSLOBo1pxK0X3lsd4xrHZ4m1l4y4psgWNtKNlh2N0DnkSeLKCrq+88TtmqSfYTPyjBXpf0F0mNpEkQhWDS4FUMqUobZpPbEsq47gndhN4cTkYNnnJrswpdsAXwatA29O2hdBUbqul7A3aW1pnESmIraTLc+ro0B6Oh7dkW0jOMA5PMXkyTdcfjyxXO06utly3LT4f0eZjbmR/gKSUUirzxZ7j4w3GOHa7Yx5X5/j5TzEzReYeu1JCtjTZsSETi5Ci5Uwj1cHQCPUINDbo4xGd2+HbRDOP3PSREC2XfcPGFxINYzklFAUqxWSGizWo4teO6rcECidquBufE6uguuOiDjRkrGQemoaRwDDMMM8DwSSWDw88XhhUK0dXkTGfUcVAsyOPk99Uw0DXRpBKnyr7ckqhw9qW+uIa4wba154X/+icy27OP/yrjn9+uuILRh4/hSA9VjIVN7F9qxL7gHqDl8qLuGYTAr03xHlENx0yOpomIS6CKGXsWBIJUnkQz1lnaLzwKluOXI+XxJv9EUZ7jEaMa8ljR84e3IjTihPQy4buMRM2mVpGUrBkP1F8bGww1aMfbKl7pe4P68p5RueFzU+GXzpP+tpMqY//4T+m8Z7gLF13NNFr80g3m2HfXpF4SxrHiaaoU6qEEYMzU7x2qRBLpdQ0yed+jk3zzjcq1ykhIh8YWFmVWJXxYLJelPeAlKqSVcl1IjmKQHATDbgi9GRKVXKpDGRACG5K63DWMvMT3TLX+l4SOKn5vru7sb+Petdc38ZF3LetvqlF5Vclct8UmPS7AqN+/vXfN1Pm1/kO38R3/i4+E78LgPK71A7fVg+sb3s7KkouhU1O7PqBVOqhj4Jfl438+wagvun64b/371FmO3K7J76Z0codXXmC3kG/vGNze8dn5S3GJDRVSm4I1dNJoAkCNTNsIrssRCv0847x0VAmiAPpE7XxjI3ysC9oqNRZJe2VXa+8zTDUSA+M0kwSEYGMZd9DLwI4zoMwN4YjF7jbDuwUtgqbdab6zItVJkhh2QofnM3wP1PGGMmukGWLSiHUSYKjVhgbP0nDcsX0lZQ9VKElErU53M8Zkwqqhb6Dog6K0B7SzHw16H6G8xE1mdEkSuNAhK6O2ObgE7pTqlimwLj6PinalATqECxWLZVJfBLqlN5cxDISJsa+FgYzpaM1efKqUbUUK8gsUYdATYbWZ0aXJ/fU3SQJ07bS9pOkxnZK7ZSyk0OSlCNTMUaxFZKbAqNagYIwIhzNRkZb6YtFTHmfpIQ2ZDMySkRZ4FJFhkhpC7YWbMqUUFHrwXSwFzR7NCtOEwWLamDwhdZkulpJsVCtp5qA0w2uKKYa9GiSclhV2j24sWJ3Cc9IlUIpBjWFqgbVlmotypSeVc3EkjBiwIFaoSSDbUckCjIKKkrB0OOZmQGVTEtPUxuKBgoeyYdEQDK+VipQ0zT/zwKJFjTgNLEolVSmdYexh4RvqeB7SAFTLMGNDNUhMoUAmtggcUryQw5m3caSTUKtTrFpyYEapGuARE2ZaixGwBglGCFlRZNS5ha1FkWovmLFYzVgYkJKRWoFLJRp01ZLeX9uYFrsm0J1BUvBUxijQTvQZkpAc1IJdvLXggJupC2wrxYtjqZWFAfaoePucGBDrc2UNqrKkB25UfDgdEq+BMGWGSqJFHrMMMOroWPONuyJGFJtaKVSD8mKpWbUGIyBUi02ebwEeptRFZpaGfCIWmypZHVQLT4ZJFecKKG1SE6YMuIZKDRUgWIr1RsolRBH6lintD9TCBqwOhkR1+qpVVEyJhtEDBoNNArmwBapB9VNtEg1qApaHfZ8AAUfHdlPwBUCZXRQJ1DF4DFqMQns0WQFk6uSi6Bi6TqD2SSkCIWGhj2YkW1b0X3BloIVcC7hTMaM7ySvghqLyxWJQiFRGjOlk/UFY+sEIFRLbQRtFFElW0iuTs9hmJL6dJhIINULaWaok9J9klFawFVwAyqGqlBNnfyeRxjKlGAoosz81Bf1qnRwYLtWpNopra8AIVLVUKunFD/JoNryXoI+PUUCRlAMXZ2S9Xqn+EM6pjEjrWaig+jBDopVkGwoNlNrQjWSjCCmYkymjC0uGmxS6CYJcamGvZ1semqx5DxiMoQSUN+TKRStZF9xWqmpEG1DUkOpcnC8nsqYfAhJ8VPuaRXMOJFURBUpmVEMKpbGVIwTrFacjpN81GSqjUieEiRdhJ0RihE8UKyf2rOOmDS1D41gYkZrAlrEWnCOag05wN4Wfvaw5zpu2JiIiUvEg1iwZGpxaDVTumEWLJZGAjsO5Bp9170ophZUHWoEYwta7CSd95UiloqdJJQq70VOhkkVV3uHloNPk1GMUYxVhqCEwzPDomAqmDJ1mdLkyXs8ZSpCsQZTIBdLir+a/PO1Qakf/uN/8r4Pffajf4QxgpHK9otP+ORP/w2Lf/UvefVXf84wRMZcphQYNVgM6yEdfKQmT4mpE37fdhSdOt2iQqww5B63H3BG2Mdy6Aj0vSn6u21XORxnzOWQ+ldYtoE2eOZty0M/MMRMnxK5KpshsukHZk3DPHjO5zOWbWIXE9fbgXq4kOY9yPIHfOrXqVoPEZh/kO/9tfrqQvLrmJJ/GxbE3wYA6XdZv2xx/3UYXr9swfzL2uzXOe+vOtbXra8DZPyi93xT5/6u1rcdAPpWlUxhJrt+eL858auS9b4r9U3NAz7+J6eUpqU2c+Q/eELtv0/aJtaXH/PHb1/zx68+5//4X//fub7ZsPIR7p/wx48N/8HG8v+5+AzdJXxS3txB3x6xvzinXq2ReSI9STSvGrZ2zV90t/yrkclvw1vCvw2Ufk6Mp1wzp7HKHBi5o5InD6X7jntV/pm54p9+r3J5NidcXvBX/8VP2ZWRcW6Q2nK/gn/z/3hgdnnF86dz/senT/m86Xnbe/4ytqhUrA6c8QW3oSEGjy5atB8mNGHbIhUCiaey4S3HJDFAPwXkBBhPDbwNdHfCBwKGDb10fMqHPE232KLcFUN8eoEXePLJ59zPXzCEALsrRhMoHjjeoiZgBwd38E4MIwrOrwlWeBEDt96xE4fpO+Y8YszITWhZxj2LWrlr2+kGcJX2zMAdmCKcngY2G6G/SzzsbxheGnQp/OAv75FjTz4z/JRIsXO0zJGrY1y4Jth7mhHKciQtoAQhbz1mcFx8/AXtgyM+NMz3+8mQWAzH8YSH9pGbMCCfBRY1MjOV4elIXQO9Mi5GdDZDmnP4t44xRx6054R7Ksdks2S/+CldrDzpDT9hSS4t0jeMn29QZ2iawDjvydbSNy1PbkZySWw1MmPHmBu2eU7fzZHqkJQYQ5h8m3hg7/fYamlKAwbMYPDXnvFyRBohPARGO1LLHBOf8Opox6wqz+4EzxOM8QiZn91dEk3koXngYhypItx1LWUzoOWw+L0/xzNwLlcMRalGabo0eV5JZfADDKd0WTjtt7x+eoa2wrLuuJILenE0zQ2799HgAmli0o3nI2MdcWbgojtif9WTd8Nh7THJQI/vhcdR2Xlh9f2WOraQoM97Xj4cMR86Itf4NEIV1uP3qbpBiZj2nGBWtLJFVXjMbvK6OnvF0fqYZb/gVfNIckLuFHnxwHyExSis3h6hsx7fDDzvDVc3LRHLc17xUM954AnIFtUKmhnHC6pfs/Nr9juHjAusmXEW/ooohkEb2tULhvaB9ckt3WrHrC6ZyxMelj8llwaGJau7M9T16HwDsqIF5iKs9iec1IanseEniwdmtedSNnx2YvBj5GgFu+RRU4jhgcfXmdlceXpZkf4tsSgbYPXqmNwkOH5gd9zQ7SsXVys2u5ZqHKjwVOdkl7j1e3R1RjGFbfOIZwqLeBtP4W7ETKYyOHOOUkmyBn9HzYZhcDyOgtOMHzLDEnIniBfqqxkmGrq252ma1jPXS3g+b7FOuDntsfeFFs/Tp6dsxrfsY+GeF5zJBkPPysAsRmZD5sIquVOSqax3b2DV4LaBXqGJFU9lyQPbp2fkeUv45JHTGHEJPuUIedJj54nwufDgItplLlawvoBxbmjfJJbnmfak0BIY7oW8mwYrXzxOHcPTgehAJuMxmteF9l65fwZ+7Oly4oOPRm76yt0eWHf0vaPvHUHgJEWOTOEVDTG35DyHzwucKuYs07iRwVQGEfhsi7eJxo989Jcjd6Hyelb5/iYy2A2r0PNCB9YncHMuNJ815Cw8bBuG44HKgNYHZtEjycMjDMOcvg4Ij0yQmUXEsJ+dTd56Q6QTCCXScYVR6PcND49H8MEj+1D4hEKXJ2DI+yt25QxjCk3zSHg05NIyxmO+H0fUZq6bgGFFmzOuDOzke+ys0DQ3zBbgc8ZvN+T7DrWWng6zgqYqR0aJYUc0oAI0oBhi7UhAbSrxWcRfZXy/B/ZE4w+/LXH9+oq3GPp0QdgXWqdouwKdguMEndL6qqVtHxASXg0uLjEyYrTQ7JoJsAqR0A/seUbSOQ1vecjLCSSef85+CzVC0yZ288LaQ5sTZ1Fps+Evq4O2RWYOzu5g66B36O5+YnrOHONHwvwq094mtjMYj0eks9Q/X8I8IYtMtxZ0PYf72a+cJ31t+d5/+p/9r+hmM2azOd1ijm87QtfRNC01DuT9jtc/+TNWb15z//oVf/7nf07fD6QUJ+NHmXZR/TuzNb5k1SiQy5fnMvLOQG/6n3dgWNF3n/tyz/WdG9Q7hpMzBmcNbbAsggeUmAoP/fDlbooYjAjeCEdtmAzRxbAeRsaUGVJ+b8b6HV5T/Z3Vu13wLxegEy1z+rc/NOCvW78OKPW7ArB+G1DqV13zbztT6uu06d/2G38T8OeXHfPvqq1+VwDMtwFg/XXrq1LkegjF+DbUO1bktznZ9D2D890L39X+/yv9hB7a+7dlAv/n/6f/HbZT7Fw57gpZ5mRZ8OJohkgm55G3/9+fsl59werhZ/yL/+s/J95WdOPIfs0YG4Y4J/+xI28N9Vp4eT6wHwr368Jy3KNOyI3F9AMaLHUWSPtLXIqE9Ej+UJBkMGvHcDJix0Jzn8l+hmqLpBnnywfOXeUDa9DFEUUrsR/4s3miHwVuHfJkS4twsmv4fj9jcWxp/4Hwf9usWO8j7V1hm4USDHJqKatIq/Bsbnnz6owcYRHWbO0xCjRsyGeTVKnsLeed0NaKvR9Zj08Ya8eglrl/wEmPpJH9hzNKC36zo90FbBQYI0PTokZY1j3r/ITRzeBC0XyLjz3PH4W7i5bYGC5u9zzEOX3xUCptiDibKcZwkhJBCquPDPnRUXszRVXlyYODFw157KlDon2wjMuChsLzW+gvHP2xZ+CC+qag95m2TVgTMWSkgtMGi6MzW3ZNpQ+Vtni6oRJS5c1ZYb5T5jvh9klDTSADHO892RZGV0kNVJepNlNPzOR4azx6o5zslLO9cutBywSkjTOF7JAxsFdFQ4YmcpQP7BMjDGcDbQ9HD8JSlW11XGvASIPYivEJsxQKHbEc047XuDRgU6a3T2gonOiG+8XE8pJkiC9n6OCR1w023FArxH7G5aIw00TXjxixRGN48Jb1GAhqeG5hqJ4BWEmint3TNpWnroH7SbCxo06AgkAqhmYcKep4NKcEEzE+IsstsQm47Li8bnBPHKkpXMVH5reKjcIYAsc1Iih3ncenUwwObbbUmDE5c5ISG+cYraBuj0kB1FJnlmU02Cy8KsqTs0rXwN0tnMSIL8Kn+hLnNhg3MDaF05JpC1wPcziZwcxQxldcjpZlstRUuD9Xdgs4edNQjVJFyetEtAuSnTHLmYYWL44YrqhJqXni1xXvwTqe58ojcx5kRvEFR8RJhCcG6ROyKcR4gfF7jN/Q9E9wtcfpBtOM7GaGzdzT3DYsSmZJ5LMnidDDYmXY2A4rliAG350S40i/3cARE0OjeJzsKAVSsnw0n3y7HrKhYU2ZJeJZhjczQlOZXwz0r6EmAzjcs0LNQnrwcDajxkC6C1i7RrWQs3BMpHbC5rzBPxZMrhjNzIaKCuxbA12iKYbzxzn385EkBY1wIgmLklDSOEdVQHaon1GNIdpIeFJBPOObM2BDI5FL4Moou2rIuznhWY9pMqwVO4Kp4MUS6xyxlpPTPdtdYRgtKV3Q2gdM6BkuR/J6gR07XvgFwV0jdcd457k7L+xag1ldoKcZCZnZqz2jLMkEWnnA+YoEGE4M5hHM7ssxpyr02uB9wrpyCGfIVJvQJz3H98JiLeyPHPu0YEwdrXkgZyFnQ9tmTrLlKBtu2EzMQRz7piEvM3WZea4RNkreCNezlzBazAjN+ReY1mN8x7NP1zyWGbcs+RBBF5FxOXJ7FahtRI5Gnj0csU+Bhxww5mD0LnZKONWBohuwx+hiRM9XPH8jDAbuZpWu95A8ZewQI2Ay4nr05UA1lRwV3i6Yp8qlGXl15qgqNDvhOE1M0kfb0jLJ3NIBp6jZksYO22SgkhK89HtUHVfpHNc8YuxkT5DSEaLK3G1oc6K4yt0JVGsJWbi8NWz8FCChQTndZ1yq7FUZFofUuqh0OiKqbHU+sXR9IV0k3PURbm84YcXGtozGYUymSZGmVM5w3AbDxkGcRfzosckg9RA2UYW1Bk7INFJ46JT5aPHFsGkr8cxDYzj99JFqphCSMmZyaJDGcXG6Zbdz7AdLtRWJLWQPyy3az9GhQ71l6VbMzI5X+5fMG2HeVNbpjloFVct2e/tL50lfmyn16Z//G7rZjG42Z3a0oJ0taBdHHF8+oW0bQtdx8uIDQtsym8/Zl8rd9TV3tzfs9j2iYAwEO6XiWWMmHS8HQ9Myyeze+UVNr4O3MhmdG8ExIYWqUN9Rs5EDhVMPx5no3q68S/yzNNaSamFMhTFPUr1SK6kcDNhxdN4QnD346zOlv+hfl0n9oX5xvdtJ/i400W8KJvyy4/yuZW8//++/a/DgN/nst2Xh/svql/3GX+f3f933ftMg0zd17/6q43+T1/J3ITP9u6h3AMR34bt+m+q7OE7+jWss8p6NDZM5u3wDrK+/+hd/gmkctnWchS12foQ7OmXxR/8INzNIcJy/fMn8wnM0NNz99I7714+s3m4Yf6qkIiTjOYqeFsNsbnjxRNiuK4uhMD/ODLGy3sGYHEaEkEFLoSNx4kdK16HWwE7ZN4IUi8ewNZWkhWQKj7Xik9InOPpex0IN3UPH48U9631lt4EHhX3KbHaFIwyKpVVojw21CRwX2G8HEgWXZZLXWKW2SmOGKcEZcDpMKVoAbpJ6au+QLk47vcwQLEYLXkeKySDTxFV1pGIYfIfPCRvLJJmoGVOnVKaqlioGQ56kba4Q6ojRac44mIqGitFCJpNspRqgVkYL6gwlVFyjSAHdK9kI2QvRuGleWwteHHWEkqHXjj4p4yCoV4w1SGNhtqckoSSPMRUjMrVDDKhPoEq/n2HdgFuMFDuluoEyYghVaYtiTSa2lty6Se4jBnUBsSOZPPmeeYXOgQnUwoRK5Qx5Ti2GgqIuIzZhbKJoMwUSSZ2kK3FK5opWSdagasmdYK1ifaYRpVRDpadKpopga0MwgrNK9ZV2FBJCMqBDgDFgaoPIDDEJa0esOmq19DhMG8kCWiyegGeS+omb0vFaCkNxmFwJrpJ8oqoQa0NzSKF7/wgr2GqnaHcRkjFYkzC2svcNRzIiWijFUatMhsN1WuQpCv2MBosxsK4VnOIMFDVYFFuVdXF4dTgsJIvmhGbFlkCsk6TWW4NYoarBlDJdd1uhydQeSj2MiU5QbzA7Q6qGQYWjWpkVIBmaPGPfJKJLzMRQECLKzimuJlqUYdZh9hHJETAHwUJBTER0Yk50PiMaQUdG1+JRXC1UN2A10UxrcgqFysgsCtIZ8GBsxNZ6+GORqlQFayvVVXqvOD+1QcVhFCqBLB0zuyNVw1hbcqeUCLIFDQcSooHaJkyjSDOldNXqiG2HhO37NMsscZLmEjAmIxSsGjQJWpXAgPkKaaGYjAG64hj14DFsKyEraiYZtK+Cq0rJBvHuIBV1jH5Kj5Ri6aPF4GkLjL5SyORdwswmUkNeZGShGAMSp4Q5UEZRxuKw6qaUM61YhNgZchXEgBqLljo9n15JYhBjUWdBLRzkVi5NcsBiLSSDq4bWVXISUhXKAJocqga6ATvq5O+UDKYaTFZ0NGTvydZi7YCxihjY146cZxBbarunVqFWATIJw14tKmBMxUqalFK1QCxUDCZW3AB2kUEcUj17dTTV0lXL0AlpnJiIuQLRoFtPzYZaDRYweboOnjz1T2qpNeAOrLcvh+dJWkioyLu+dQCVSSrWVLA6Zf0NdQqusWqwteKoFFfAZbRainHU5l3iKowdU59bCk2EqjIZ/yiHcapSMlSZ8JhOKlKVUT3VK4gyquDUQIFQMhGZAicAWyuaDTZ3kHoKmdokjJlYOYpAOvzWJuIExChSKrVALQbBgM8YV2gzUISsln3jSa6gth6SZCeRYiHgdGJQherwDXhnmOWCAYpVbDvJEosYiqskmQSsDWBsAlew0WCMxTYOt49IVihK3HdkHLURbPRImeYeThMmT6mPulDm1TAvv3oO9bWZUl+dbIamoVssmC+XXL74gPb4mO7khI++/0OOjo85Ojqi08Jf/et/yb/+f/0z/s2f/jlaC84aTlvP2bzlfDHRuGqFVCtDrmzGkft9z37MB6BJCBa8MQTnaK05sKiEXUpUBfTd39+l/0zm6jPvWDaeWfAcNQ19zuzHyMOm5yEmik6aUtWJmeWd5fJoPnlSUbjd9AypEGvF8N2cbP+u6heBECJTnO/UTErO387F3O8ClPpNPv+bHPcXLeq/KXDs67TL1zn/14p6/y3YRL9NfZ22/fn6TcyWfxmQ/XUZWr/td/xFx/1t2WG/TX2XGFPf1u/6XWBKfWfqq9f4wIb7G2Pa4U/bdbSzOaHtePPFZ7/xKY+Pj0lpTo4zjnTNy49bXv74BP6H/wvOjhIX3Yb583PsyTFmeUK4aYmf/Uu2f/Ff8X/53/43jDuHZ8kfLy0//P4J/+AfnZOazLgZ6e/3xB8NfPGTDX/2/3zgT+uSdpl48mTH7hPlwhm+t/Rw8jE2g933rI63DH1gf3vEz+SaRAGUy8XIeTvj5ewpN//dlnPT8U82x/RP/4zNbeLq/93xX8Q3rF3BLFqaW5gNhbMY6f5Hl1wsWv7xtuH//PpzbteRZjUlqNWukp5HPvwZ2J2yUiUwLbJ2bYOcR0oR9l/MadvM3ASexSegr8jsWNfKvmkozoEq43mkeo8OH9Ls7qAMDAGe7yIhV26bhmHsUDW07Z54fIYTywdvP+PBe3rnEJTmIsGi8mig7is6KAwgpw3SWnTf86zxHFdD+Ulk5T3btiG+vKR9fU37sObUGPaq9Dge5Yf4sMKENcPFQJOe4Mox/ekt9crCvdB1O/JFIh8p+sUFvoy4mhjHD5CP7pFn9/g/8XRDIuTKNT/kmHuW3HHbdaSLlnza0Px0w2JcsKgL+OGnrErhYTjs9s6OMfNTmp/eIoNA9PRyRsOKTm9YnYBRR8hT3HmQRCeJdW2JyROjm0zDZWKbxI8i1SpSlRefKXVQdkl5PAZTjmn7FxzNfkZcRB7PhI9/OvmI3PrAMJziNDCXwOZUgZ7Q3yECOQvD4LA/HJnnwtMvMlk/YrSwbq553kSCmXylPl2dULLnFHi4eKCYQrtr//qD9l6BIcR4AQgh3NA9i9RZYe2F+V8VZO1ZyyXQ0SF8JCOvntyytQpvvsfL49f4buTT2RO0rkET5BlP7ja4feYLPZrO5wzytEXjPZIHZmnGOEyA5YcXG9ZjoI8BHY6Q0KNNYnwyo15XZFPoukhaOkpjaW9HUjyCHPiRvMYtKtJ6Nvl7PBw/sm93vPiLGffNhsdmosTMemizY/3jH1NvK9wmQKk6AAPz+btAKeXpfGAbHZvs6I965ltltoXb5y3zXeFonVl33cFxZ2rHfLwgnyxoXt0g5bDYPXSfclh05aNMOkuQoF15jm5a7i6fUKOFDXz/5Gfs04yr3VP44Scc7yNPX0MREAsmKK/OJ1CgzAzhk0Ctc2J7Bt2n2FhoHpsvjUEOG+GtLZy2kc/uFgjCeZvZcvBhO9wLXa08SYm3ITCYiXbwAZOC5xWe08UICg+7lvH4cvJfW21hWbEUms1IHC9ojfLDk1f81FbGDBe3sBAhzxyf/njOZd3j+8L9q0A7TMD3vm0Z4wmuCt9r37AbK72zPPzwFH8TsfuColPqmYP2cfp+Fccg57DwE774es1MVwQZSLMZiuC08mIcefCerXMokOIpxbTw40/oXmf8PaTZ7CvMX6YxSBv4+DWzoRBGy+PxD+DewCMQFC0gpdK2b0nJkpJlNhuRr0pd4b03k4kJGyNpPsfnJS4dcVfvsD4T2sz4QcVuBX8vzPueXjs2HAEZ5zKhSYgKNidcjIxdRypzUloC0OiaGbfErpsMxEWJLyNVG7Q/on3cYQ5AzMsYkVqJqry6hKqWZhe4HEfGpvLmRCFy8FkDe2kJ/Yz5F+dsfnRFthFdKy9uwURlB2zke6iFEG4QdGKq+pGPR0FTw+fpDPn4HmsK/soz9DNCrTyXB97oEdFY2jYyG3pCDbTyEW90Td/2yAcbjjzYZIhvJl/DYipDGHhqp3Q8HuBKF4zqOULZHW0xLvH9tfC6Lli7Drk8AXlLKBt+eCvc+sBGHH0/J4SB1kbOh4H++VPKfMb5X33CvffsW0P3MrJNniEbiD1+7wmDZ95bOB/QRWZ32+JO57iZx/3kDS1gcHwmP6Aub9HZCt6c410i+BG/29HTMbgW/x/v+OPhjH+8O+X/8Cd/8kvnSV+bKWWtff/3kjO79Zp+t+Px/h5rHcY5/qz7r3De47znZHlM3G/ZrR4OEz4oVVkNiazCWOHpYo6zFusEsZMBW6kFJ46YM0POKNB5z9N5h5EpeW+XK7M2TIypImQtpPKlWbnqdJwhTbsFgtAEz9Gso/WB4zz5SN3vBkqtqEIulZvNDu8M88YzC45gDbtx8qM63L9ffR7/XtbfujBmamcj03/TIcb7uwDm/SYLz58HHv4uWCC/6NhfFwj6JuuXGZl/HRDl6xzvu8K++kX1TVyP34Wf0y+7R78tbf1tYFN9W9riD/Wbl3519XKod4/DV5NhhYkJZaylbVtcCLgQmC2Pmc3ndLM586Mlvu1wzdfIM/4lNZy21KGHuGZ20jLGDa/+20fym/89P7MWBI6ojGdHxMtT/iN/St5ueLzfsDcB5wNNDvzb3TX9F4USHT98dow14GyluWt53njk3zectXvub4Wbz06ZP59xObf8YGGQ3RnjbM32o0fu5YzmIXO6vSHvBralsqnKbX7KxjQ8WsM/bK84DzNyttjtOcdNYvkfRpZ/+X0+KXv+m9kVZ1cVTYFX+gTz/zPchJ61veHyw8yJF/qryKP3jABVeHAO5sq+izT7gEuWrreMDwExSttmQh6QMDB8L7K7LYzDnD6eYGWNkKeLeXeBR7isr9icJWoHl65heyaso8AdBOqX90C9I4bK66eKexRc8uzPT1msb/H3Iyv/lHN7z0z3sIGHeWbXCBKec38vrPuCPr8mPQbKtkU/LZTqGWctrxeRnADNPD15xSYnYsx8cAW2rlC2XI9Cbiv1wwp3BvtoMVuh7h3GODCFWfmM+KYjrZ5Sl1eoF9KuQWPEAsEG0hNPHgL1Z55xOUJfSf2I3jiyWpoKfhiooac0Qu2XmLDHLjd8b2VJzUA/E5ohUJwyziM8XNDowELWbP07ONYBkTLrKMsj3O0t1IyoMIvnjBLJ3SNNgaqGwe+ZDQ1SLCEp188cRIWVEsIGX5UmFeLgyaEwLgfCLkAIyKKl7vfUcdpsvtU12ShmPnI3OiRNS5XlcocvntlmyVoEaypPmpGr3ZLRgXm6oW4mA+mQA9o9UjUQhyfI3T3yOOIF+n4BYmiaHdCjVvl8PjDbeRYi1O99wbAubLeW0K+BcpB1jPRYtAPcllknWBPYP1xMC3kGcCMLBqwIW/uELANqEsP8lqAWWwzhrie1CW0L4a5w9mBxQXj1VDm6W9HuhM8vC6d7mD9mVv6a/FCwXrn+MJNKxSTL4uEJuTi2WOpNwvUWYz1j9zmQEVW6oWNcJIZF4m4TJgaMQrNr6NKcuSy4uyv0YU082yKPS4rvKc0Gc7rExES4uqfb94y+sm/BXBjs3mIfLelZxJnK0Qib60tyLuzbgfq4Q6Tim8jbeUFjT8jXxJTYJMeoLdpZxCek2dHdHWGOKptZzzi2mKw09YblJlNV6M3BxqU05HyM9/f01dOPlxi3xkhhB5ynRDTCm84hs0QpoI+e/WUmF4++PeGeW8SUKVLv8dBBW+WJ3KBOWS0ztBNRKR0p9uYBHYVXg2dMJ1QVds0D3aGNw+eJVexQo9QXe07WDX4w7LNyKQ5LwxfxQ8Su0HYEv+G4VnyGN6eOuluAWuLzO9zKEvaZy/GK+3TEzreY7x8xu7Us+oyZe+7bNYOM7L5QEmBUWY4jjzoyFsdHn855cD27s8iTdWStM7a0qCacFjoix29esj95pD/Z8uTNK9IIqU4m6CNHJOYMQwBarDScjF8QZ5Wxg6ZXBi8MDchccBuDrlvGs0i0I4YGvfMUlxjDiL8JSJ4G4L5pyLOKOXrE3zhqMgy9h/mWo1A5mQvbzYh1Qjg2vPI7Yq/kzQIdO2gjzLfUdUUjyN5zcu6oObPdVl6dLFFTUHryLMPQMsZLrmrEyJ7jsCLuPSHCSU68PYZSlAjUV08xdsSZFff1jCCZY71mR+Ydz2KMDhVLi/AIqDU0Zgcrg6pnHI7xfgdN5OpM8G/3+GioOAowIKwwxIsebweOX7ekoERXGY5GeFygfYDxlCIP9GZgdQSpD1QJ7F9uMRtHyAb9XuLiZmDZJ+52iSaPtNkBz8kzQV3ho+GG1VFlaJWHu4axPFLiI/sXwA50NDx8MuP4PHG6iLxRyGVitp6xITpH8YGzONCvYNw7UtNQk8EWixJht8APM/7IBI6ezpk9PyL/8Ee4xZww9yyfXdPoglCOfuU86WuDUl9dLKgqNWdySqRxfP8ePei4xBhWx8cYBNEyfYZJ3xqLsksZ7YXGerydaPGxVsY0GZar8s7H/yDVm7ygVHV6Xy5gzHvpn+pXp54Telt0el9VpaDM4EC/V6w17yWEygFwqkrMmaITG6ux006BFagy/b38Ya3yHgT520EDOWyffDvrm5Zj/iYgzK9T39Qi/Tc9zncBVPy21Ne5F/6uwLZvy3X7TWWR32VQ8ndR35br+fssha+gTdMGyDvjyV/MdDpIRuXAepLpM+oMzgec91gx00Za8Mxmc2wTcKFhtjymm83pZjPa2QLjp42336Zqq4ed4IHSOnYx0e8i7pPX9GLYq7COkWHZMZ4e8WJ+TEnKdshkJqlHsYVNzYR+oL3d0ohQgzKEhNl7xgq9sSCOUgx9HwhiyVhiNhQ7sDcDq5JZZYeLU+5bkUJhStIaRFAVhkHY347YBka7J/QJu0yED0cMR7SlchQrNjuiOkZjYF3ARO6bnm502Cy4ktF5ACv4/p3sa/LaKHZapLdVGZOnOjCLRH00FFUGM5ClQ2lxMgN2wLThZfIkkzFND2aSNdj6JcNNmWRfKOQqmDJCKYwHxr1hkk/VHjSCaQzOTYlJJJDegLEYa6n7Suor9WRK6lM12CFSm0IKkK2h5IOEbN7jtxVTYD4ICYhMiW3iJikYgIsOUcNgE8i04nazPdkEqAZbp1S7bIWGHicFYQIvNQF7YAGJQtWEGaZ0MVGDzQkqlFhoSp2St0QwJqKipEOyWNWJU1JDJddpYWZqmebKXQZRrCquVtxeKUB2U5q2MoUbeAdZK4WBhFKrQXeG8chgTMVJwdo8+aZJRMtsWkPMJu8sMQXXFfqxUkQYZp40JIpRgsCY/ZTm7RONLRgMxRSarFANtTqqN1QvaPVAxCqEUifWg0AxHWkwWHEElF4t6gy0QJzuFsUQIgRRRjsQS0tOBuoI7sBUTYUkhiKCSMVKwZGweWorsQadeUQzJtcpDc0K1oCUDEUmRkgtVJkSG21tCFS8UaopYCpihD0dQROqhVhHatFJihgcrnqCUWy1JBqKOMy4x1SLtSDtQCiKT5YqhSrTGixWA9Wh6sD205Oi0MU6maobS9AGSqYUB9oQcqTbD4RSyBYQobYGiQ6pDUjG54mxtY06kQusImnE2oI1ESkWqgEpmNEgSajA6EFbkA7CTiCC2yqlgmjFlhGflYylaKCVEVcrUqakyYqhFIubV1QKOQqh1vc7ELUaEsqugYRDqiPUShTBHFICU7RUAyWAy1NcvbQOyvQ8lbkgLlGysq3gcoOoJYc1o1REFLRQegtGkOJxGLyA14LRjOIYMDhjEQy6B5sKrk73PBmkTNcGne6R9pBohk6pksY4DJZgHeI9xThGo6h6TLUII3hFTMEPBtMJ4qZ2sKp4rQxhSjilFkzsUAmU0GDjSFUoZhpHrQSK+MOYakAs1VdqU6ktU4KfmGkcDhVtZXpWBKpLFNfTmUKxheQqOlSkGhBDtZZqJ4actUothVKFTqd0Sdsa6r5iTcbaCK6HxiF5RogTFpAAHRoYA4wyyetUKMWSjUHN1PubQ1ynlMJgFe+gDVCwUwKkF2wSTFICkaFvUeuwwYIKWEhe0HFqh1otRgWL0iWIxkzycDUQD31RbdCwgS4zzoQ2ZFwRfDU4GooEoh0RW6Y5TN9S3Ejm4MNcPaYEbBEqQrYQW4OYaQyprk7JimpI0uEkIpIw2dCkQlMNo9hDYF7B2oLiKGqIVig5UWKhekPwiimVunVIFGwCqsVUsFUx0tBUT8gWVxMmQgcMz485Mh0dLWLnBHG0YvmAGfMXgfZly/jjj5jNO+adY7boiHVOzN8gKPXXJnwimK94hPz8+7RWHu/v37/2814Mfczsh8jtevfzHwcxB38ieZ+Ctx4i+zjtjuWqxDINpD/HA/hyJ1QhFoiaqbFS9gpsJw2/tbR+ioZ19sv3F53M2GtV1vsREbBG8Nbi3MHLqhT+sE76sr5cOB46BQ5/9Lu1gPpNF8B/m4zx6xzr3/VF92/Dkvo6n/l9GYD/XYEDv85v/HXb4xf9pq+Ctf8u35ff5foDMPXVOviDHCYJufI3xmZvp5htawQRgwOsMYTjE86fPufk/JIQAu18TpjNCG2HGkPl3YKmUmsl50JOBY3pt/rGEh5ZVuVoB1+MO2oAcyb84PqSbEfwe3YhwFCwbx/5F++38KcqbmSwIxB4ReTV7g3/6vanZGsZQkPfz7E2E8LIOD6j1mm3uL+5Y6yGTXGs//3P2O2E9Z87hiFiTCY0hn1b0Ngi+Rh5ek2TZ5w/vOC/vTPsm0icX3N5dUeYZczOsH7VMRsT/0Dhr+IZvVGaMH1fL9M86YufWCgwJxMvAoJy+qonRiFjQBsEwVFY2sSDPmUMgnlxTxmWmB7iq57TcUlbWzzCzcRFAcC5R2grty8F3jp4MNxQeRKnmPE34Z33lGE7BOZ2xCXIuUFViCZT396zYyBJopEbhv1IzJNf6XDdoaYldPd0ccSWwu62Y8RQ2krDhjSPZF9oH1vGwZFFuNItT3fCyWqao6445YEjWt5Q7xtqsdCNhBzw6tl+cI3bOezgkI8Nxu+xNXHyJ8ckE0l+5KncYPDk6vFXGSWSgqFZNaQk9NEynydKCaTUIl0lJUcZAx+bG1Z9y9X+hFfdjhIdcTun63Y4FWyyjE/v2Ghlk5SLNyO6GImXBq4bFtsd5w8rRlXWM7g9Um53X+AzLIqQnkLKBVll1qcDOrawWtJebRDzpdR4bGC9AK5aoGKPB85MoiUhYc/PRBlmDVfdGeHNFjtW2LToOMf4THO0ZbtpqFkgbHi2qeQa+ExPkR/EaQ76s0ua5pGWgdNxRGjo3cCwWBE3R/gUWFKgiaTWMx5fwo2h7eGjvlL1NaPpeXzV0MYlAWHbvcKcTpvn4XUgiqNUC+sF+rgCGQmztzTziHSG1fkH6NtH3GrP/PYK96KlLjz6qpsawijmCMJ+SrIy8ox4viMud5SbFdsS6G0LV8+5b6+4n62YJchtJjfQrs84XwTmix2v2hW1ngBzmvqAGEWd0i7g4rHheHD86WKLLYFmNT1vuSxIZYme/QQ2PaW/4aUxbJLncdcQtGFIhhQdmo6Y1Uee5EcGJp+nFANjCdQ8p45HNK8yizJykRO3y2u0OiQ3NM3hSVXh4+sFawl84QLtY2VeIidmw2czSHOQI2FV1/i1Mvu3SpoNqJ9Ajv1cybkh7i55yed41ow88iZ+RLFKaK6JlxEpQrjyk3SvQjvC8DijNJn6bAtvntGNladc8RAaDI7LMfKpLuidQRYD+ztFnGf8+Jz6aYBi4aklmi/QsAeFj2PFq+Ut8ICjBiW+iMxjj9sE+OlLrFxjzJ4zB2/LIz07upARgRo9+pdnZG4wZov2I+QdxBb301NMs0eNMvCcimJKIry+IsWOnTZospS8oNqWbbOiicf41PLQZOKJQdvKw+2A9JlZhvsusEwDx2z59DmkUcmjwBjJdknlKQ/NDfIVWwAh07ACICVHrsLVU5BOEA/DsWAfHO3K0c4GhlDoTwvtdUtuI2W+46NeWAFXnTL6EZcdTZ6k3OwXaL8EfQthQLrIR1sLjTAcw0MEiZUwRHKptG3l5IPMyedb9sVwu20PY5wCAw8PmVIMMbZ0sj/0OwJ4bBqx9VPWC9AjoR45uIXUwuMp2JtAO1Yu5ZpdXZB0Aqmf8pbUVL54AryxMHrGccHFbEOnkdmQuAqBkZYaLzDhBg7m7Pk4w2yaL+w6aLXyvd0I+iHROoZwhW6VWlruOELORkwoNK8a2jLDiqXqLVUjqQpdbFE7yXF5DfE40XvL6mcfMrNvMXYLQOMET+GNXOHXk7/WddcQ16dQG2je4gaHGybopz2KuNOMFqHfCrttQ/WeZepZSKTIP+T5NnE0RP6iWr4vlWfe8tn/5Md87/lHPD99yraFp1Y4E8fn8ceU2Stq+4aY9hzlyKI61rZD+wVsF79ynvQbbf29mxr/rYuXA2j111/6yi44IF/DNFTfAx1KKeWgXv15MOpvfgYFlcl0zhx2/d5/Va2MYzpMaA0Wi6BUmczOOEx09cCM0lIxdfo93lpKnZDadxKAv4/rhL953ZV3Kv53//T3YXH7y1LUftVv/7a1zVdlgL8IaPu69XXe+9X2+U3kh79p2/2mUsff9vt+3XP8svP+svp1r9cvAtnenevbdl/+of7+1F9nQh1e+8r/t/ZLs3HVyrJtmDce33hWm57tECl1YkJbY2hDoNRK1UrJGdO0tPMj/vg/+k+Yn5zSzObEMU4HF2EslZryxOJQ/dKbRr+Z/rp+MkObiHkauWhlSkpawb3fUJYeOVrSf5bhaMCejlx88ZQ+VzZE5vpA6hrGxRzMA+IU8ZAeFB09dVwAAWkL5nQk3N/RxMo8j6yxbO0US54/sUgszMaecXZFS8dFveAm3xFrQ5YjwmoPJbIfP+Pps8ReDdcb5bEu6XLidL1B6w07gZ+J53vOsJ9lfvI8svxsAeq5OmlIcouOMIxPkNuBFs9x+TGf1weiGfGqLJJg1HLlYfT3+Fw5/1lhPRxTFMLQs9IjjA7MeTNFaldPSme4oxuMS/DGw2jeh9ToxSS74QH2sz21WtidU8qUoDSOlyx0TScR2kzOx2Q1OHbkEMD7yTenGxE7wmAnmeehr/QkvEZCHGBWMXZ6fS4jrhSazypZHbfecJ4S1m4IdgQU7wvWVsZxjtqMC7tpoXfY7Z+vlZOxwfQd27Iiz2E4El5vlaOxYx6XwD3zxYBf7HmIGbNWFgnGBVQTgR1sLQ0DRva8/lBJZsSUzPhmjqXSNntO0kAyht47XlzBaBxrY5E6MNvBIsH12NFrYquRbQiUXJjfJPpnhn6YI/cnuNUDxSXifOQoVoob2b24Z9wnMIq0QlgHbLa0m4ah3WAUwhcB6dNhvu4nI2gPi3pHHQp6YEUUPUJiwN7MSAuhOAj9BBxKiPjTO3KqaBU43xI3M4o7Jv3IErcysciOI5dxwJqRuwvFbh02VU6uvoAI1cLnF3C5SriD0fDMeSyWfWpJVwuMMVyc3PO4gzIazmSLlTwBPTGyzUf0fYd2lkgm+cS4X+AfwaRCfJpYGvDFcvf2GRyv4HhPHG5Z9ANhVVimZ8SZJ80t3kDIYHeQPLA9hW1g6D7joTiGarmMgY3Zs7V7xvkA+wXEORICt0eZB1sIY0fQgDeezcUG2a4J+5G4OGVRes6GPa9CJfmWak/ohtdYbRGZEeSeTM+9KmMIxKMFabnA3zxA3EDoGYNlVQKjGOruDFUYNMHJAz5Wuh1cecErfJQtq5ctMRru7oUcR3R06NuWRdohGHLniIvELMPTrXBDIFTLqY7cckQ1DTYM5JMbQlZOHyLr12dYNZymEWsTkUBKT/H+AZEKDw1x8cC4rLy1cL7KmGK4bgKlOcEaxe8i2/oEgMADC8AnwV0L8iSQ6Vi/9ojJFDcphJIcT0EFn0DKD5RQiSnRz5dYN8PFCbhGIlSPPS04m9GrB2yKEwnpSJjHEZ8zsclgKlkN1zqStECJLMaRvlvQu8AYV4zDHNWWcTzl6HzPsluxvI7cPnRsxbAXAzpHsUBk5xw9lrCCHAM5BYYC+rhHxhWhTwSOsDLnxkeOTnrmi8jVJ+fkXEH3PLlSYrD0wRLnkfm+cDIqd3cB2xUWXWZ/PCLR4FcNNw5CLHx0q4gKvRi2VtFFpEpC2TLeHaE6A8l87jMyBPSzluN4R/KefTcDP9KkyvLNSE4VC5xX5UoFsRnndqRFmTyw9j0i9T1GcE4mtoW7I8HHgG4dm+TxaQKx+v0MzXMyiRpWGArWFPowcofH15ZnV8fEuCK2id1T6FfCKML9E1jaI1oMj+U1rBRLYP6s0j+c4O4bnpoVV+7LeXbhmlgahvGUJ/KAb3pW30/kvSIrS9cPJPdAchaoqE5G709i5NE5xnc2SrLEBsPJ01e4faQc+qy7pcUaOLke6a0n+un9TXOHOohPBW5OoA/w8Wv+2J/yvXaO/icdf/KXV3z+xSPL25EX6jixHbeyxDSvkXBLswu8OV/y8MEZ/4M/+g/xywXaeoq5Z8cUUHfrP6eTgTbOKP2HrE3P1uyYlRW2SYj/Uln3t9Vvx0f/W+rrpoj9qnqPI30FnHpHw/9Vn1PV9yDTu3fLX3vHxMQyIkysua/S/CfJ4Ltz1wPoIjqxw8zh7fX9Ik7+XoJTP19TS3wJ1P0+d/Z/lVzt98F++buub6tX0zd5/m9K3vjryjp/0/vn637P39U1+vnjfhNyzl92jF/n+L8MGP27qG+Dn9Xfh/qlz44I6JfjfPAWZya5VaqHRESUWoUueBZNgw+WGDKlKrkq1rxjck9sKlEhtC3z4zOW5xecPnmGbzvEOQpCLfXAisrTmP5zxuci78Rgv+Xvro4iZUoCS4LJIBnGkKh4qAHeyY3qQT7wXoz2rn2+/K8KJDyCwwCmS7iQ8bUg2mNtRWzG+EBRw64KtVfaqsxcxbkBow6pgq2WoBAkQRSkVkodMNJBFUwqDDrDq2IUdAGaJgnPcTUEEVqtk0muMdh5gySlFkNqW3waEFUyDjdXjBE6CRgyuRp2NFjdE4rS9JNJNAepwpgzKgUJe5SAKRYp5d3kDPoJkFKEimfwGWvfsekLInpICAM1X2lAUegmKwktFlMLaswUEw2HZLqKKVOCWzGGYipyaANUsZnJN4lJWmG1YhWSm2RuMSlCxFPQCpP6yfBoJp2hwcIYqEyJdXUQfG9oe8PKRYqx6KQdIxsYXKVUO8mCyJRqCKYwazOjOJwpWMlAB75Ck+jnHaoVMxRydYhNuCYRthMzIpaKLQYnQjBgEZyCq1/KIBUYaUAzLlcGWtQ0iHFoaUAUI5E2QmwLMld0UAzgVNFQoRhMMpPsrUI3gPSQVSbJjZ2kZNIp1RjUVCgJMQVVQxoddVZRA6Ua+moxUpi3kU2aJIXGFrw2GLWTzEwslYqtBmPLpJCYTylWKLj1iADZC4/zwLgD/z4hKiGqzPKMffaTX9Dc42rFUJB5oo4OigfyFCCAonFAapnM4TvBFsUMQr301FzRaAjj1FcVo+SuZ8wgo6XNAmVqfGNGQq2ELCQPtjIly/k9RRv2Y+C8QntIzYyhwDgBAHXsiHUAU/C5OWilJrmqkYR1BfGn4DLVOPZiUTxOQM2IqODwuJopprJvdMpAU6Wpit+DlkRmZKxHjGqpeJrsKCpEDNSAagKdwBYRQ1sdDYVolX4xSallMMjOgHpwQm0MGg6sVLXk3GCNQWY94ygUsXhr0NkIcTJ6sXgshloK0RuyCqbUSRWrgiSDzEaqVfrs39u27HFTGpswyV3FgFEcERGPq8pijKTiwFqC8yQtVKPUtlK0Qla6ncXODRrqBJw4EA8kcL5gRHF7i0FRAwSlOIsaj9WK04oTpbRCPjB042xEYsaWTC1CoVJNxo4DtgSyWmpXwUWEHlfAl4SvBpqC1SlNPsLUdymEwaC5IWc/sbB0wDEAZkJmxVPcQHUVNXVKpNSBquM0ZqnBFINTxR72czQD0WHEYTQj2UzsSwOmVhqdulqH0tbKcMiEM1rxdY7Uqe+OwUyy0tIycx6sp9aAOIPEjOkLRS0GIZSCMRFMwthMVYeIYINAKRhVvCotQnWG3FaOx0AdDftRp/GzCiUaRIRihcEaPNO1irVhlGnsDSp4BpSEsZZkJgl1sYY5Hgs0NoEXVAo0IyZ5bK9YHHKSUAejsZg6ST0BQrV4CtINuJVD+indUG2kmnfQjEEr8E4dpoqvkApoUdSOZANZDMVWcmMxxjKvkTKbkixf2DlNM6BN5u0M8hyyVYaucmwbXoQjzMzxcNRSTgYMyoU2dKXj9UNka0dqmzj74Iz48gL74VOOji+pIZBFCLInUSlAUEU0UAgUpgfAYKGEaR7nf3VIz+8ElPqm6uengr/G0m+ytzzEQb4bVAWwYmi8PRhyf+UT+XCOw5zEqpl2aQ7+hrVO5unBWby1GAf7mKaB8N9NTOPXqi8ZF38/2WN/qO9efRsAut9F/T7M7/9dqPcM4N/rt/jF9U174X0b6/2YLIIgBOf43pMTTuct3hj+8nrFdhgZ0zQ5nDeB464h5ciyDbQhgEDOlZQz99sNYgzeB559+DEvf/wPufzwI6xrGMaetN3w87MKIzIBE/CNMwfNB8KwcZSHr7wYpt+bV0K6FdonK/J+Rv7klFV3j7gpoS4zmaw32x2TOy+gQjlI9pp2Ax+MdGvl6JWyYaSfw/2pcErEjJZxHxj9SBtgGQzDrhDzwDW3AMwlciGPvD6cS4FP7p9QTcEz2TEYJ/gjQ718znyEP/rinuWDw+8yH/4EPv1Bj59Xftg48ivoBW5fFsotjHHgdfiUD/4ocWQaFq+e8C+bOx6jIFeXPBu3hEMEeSQR3ch4IdTbAUTYfmBYvI40/YhnTe5bqgtfMqRwRLnkaniNSKIFlv0UXb5tV4zLSLWVthSSCqOrjKcjwSp+bwj9MBm4HrzD3OCQqrh+T2wacuMYQk/IAaOO1LbYzUhYFdIMknOk1rF/OdLkTDMqjxswKTGLkQgsjaGxwuNyz6y/ZLE/Z/OzPfl0TT7ewm2HU6VpRu4bsFmYPRhejg137ZY380dYXZKLYdwZ6n5Be7Ln7NmO4bZhppkFmWsgngj53ALPsY897vaRUgN1lhiPRsweQinUnLntOlwpzIaBmQhlBv2xEh57uliZR+EqHlNtRltB3zzDmBHf3DDMzvGjZXm7pwXUTl42TWlo+srsPnL3g0QpFn8dkP6Y1iWeLB9JPezEsgpC3zuqbdmFY/S0YOJAu30A9tPvHT1tXxCFfnD0OOa18L2yI4oyVEOzbXhatzRDJf8lvG7PGK0lrBuufE8zr3zfGb44ywydEtaHRZA4TDjnIewmPy4RNumKpniemR9wE27Yysirt0845Rbf7Pni+0L9/ARZB9rwwEXacqQrtiP4MWDUM36wo7lqCWNDzxmr6z1u1fND+Zz7R89mcNQnI/3TCxIzXv7pZzQ7Je+FddsSSHQirIGZv6fxmeWl4Xozsl4NjAUaBI+wbcCmHpcqw+cvsA6cS/TDMdX3ZPbkTzqYDchiwFhYG8feNLB7hnc7nL9jCB6bBo7Sljw+JZ7AeDKw/GzgaBhZrh6BJfuaWevIfnhClUASx/d5xY6Wt5zCw1Oq2xO7NbOzkdhlPguRH/xFYj+HzYcgxWM3go+Z/XCKoRDY4f0EbH0RAsNwgh6NbF7eEl4HfDyAxq2QrOGhDTQfF+KgfPpTS6uBoJGT+gn345JqHU0bp24zBXhzzF17kMj1DsIV0lTqUUPDCrGTt9otl8xEOOUV17cjY1doXkbu3pyRCMize+r+mraX/z97/9VzWZbmd2K/Z5ltjnl9vGHTVHVVdVfTc0hKmqHGSBBAgJqZi4EEmRt9DUHQB9GN9BEkQIIuBGg0AoThjIZNaoZNNqu7KrMy/OuP33sv9+hin4iMzMqsjCzX2eYBMiPinH22Wdut9V9/wwfbmnSc6Jxhs4KHLJlpz1aU6PdpgMPA7qoiVDXD5Ij14YAzgebZgIaebIXq7Ihhc8WQd9h7meraIGvD1W5KHXomecOTELh0CxYTQ/g40D8vyEvdv06WnAKl3zM3jeEF9ejRrMJsaClYhr20bTJ1NMeWblszDG5UAB3csQyFzcbwQzJbetasWdbTsd0Vjm+U4B2XlUeqHbE7Id6ecqh3FB9J1TigXk3gulXolNNeud8XXqxrEPAK9/V6VCoB16VhaCxxkrg7qGHh4LWBA6FYCKoYDlEChTVVdUWSEVzm9ohSW4YDaHY3tDFwFiNwyDj7s+Z+nKAxcV1uCU1DMdA0HdC9fR0fEYhpwi48ROpLhqZndbTk5KVigqV6XdFXPVKE+nXDdS9UYnjQHmEPF0S7426XqMo9lIZLnRGaNdjC5VBxbzikQmiqOyQckMqE9XDJYR/wCfIho1/gO9hNEuGyGt/JTuE0KGGzYNcpF6kd8VSjDLMeqY8o2vBKA3Ky5d49+F/OfsjRSU/2W/7fP/2U2w+uWBjlJ3dK3XhmqYb/Zsc/OD7k7/7wgPBEWS8dN9fw7P/xUwoDs3nF/+o//gMmDz7EHN9n4WrqvqUeKs5rx5VNLFD+3uaY1z5zUUXy5JajDCep4TZ+yMQm5vabLRBE37PX5X5Nk8/fbX0RytqTmd7OOY6zqIwUbXkDOvEWuRKBytlx0FoKIY1GkWOHefSlaLzFiFC00IVxlvbLvlvvw+r6y1JvzM/FjIOLGP98Y8u/DevhNwVO/Kai5L8NG+V99v3L63uf5X+bTLL3XfdvAzD6prb9dZhSv+wcfd3vvm7bX7Wur02+/A210191ppAz9q10S7+D0JSIYIwh5/zNC38H6g27+fMpodEI2ppxdtKaPTNCRym9cxbvLPNJw4OTI45mLUd1xWqz4W695f/39JKQxuCUaVvxd7/3hI/PT1Ej/Pz1FZd3S0KMDLmQiiBNy9n9Bxyfn3Pvg49xVY1xnhQTueQvSHK/ikH47mdv/v5//T/+H37l9pjdO0ayjuarQEoTsk6QR6+pV476rqafdwQKoejIZrBTsHPq3ZIskWhHuVPr50z8MbeXAdVxdrSaX0FQysbQALkqpEnhfggELEvjsecwHTLHi8iQlM2k4vZkyunLNUWE3dSjPVBlmAe6TYVJhioJfX2Mk8SMJWtOcaoc5jU+WUop9DqwcocYCwd1z/d3PTkXPsPQiyUWQwiWg+OIkxbdPGJ+XtC6545LzKVQQqG3gTQFrRWZZIgWTaB9pN1W2GTGvpu1FK+k08TxlWJ7y101BTugpRB3Fa2LWFPIxjDMA8UUmlXDYUwYq7x84KhWguvGWf32IOOcpbu8T3JrxHScpZ7bY8O2MdhbS55k1Bq4us9JTrRErpvd/hIv46y6daixaA95ntA6Uz8vZG3IpmZrC94r3ikaHSoTivWU6Wvadk7tZ9w+3dCmnqn21AVWc2U1B6LnuIfDXrk0DSoVRhzIFlMFbBWJu5aoNdE01FVAm0JpC60kwtrQ3zmOpCd7R6hqztYOnzusrrg8g+QmFJljVxukisgs0W0+xPYdbXfJ9uEBZRC4LfiJYMnYFLGAE0ttK1YaUS3YUggtmFTw28TgJxgDtUsMk3pMzw47ZtHgXUM1O+VmWVHyQC3XHMRI8p6rw2Oa7RokMkwT92/OqZKn+IFyaglSuF0G6g4mOfFIVrx85BlEmLyM7GpL8mAngclujg+C61Zsz4WhNWzFUS8tNozPqtQaRAzTtWOTMtEZeHKEvyjQZYZmC71HjMF9mHEXgtkV8mxNbjJiCqfLQt8aknP4zSmh9GQNtCRKSigZPVD6fERODceb1wxHkFqhvhLEOsQYWhsZsAxGyNOB2DiKdcxfgswzOikMK4/rMmaANR/j3BrnV3SN4pPgolCKkGaRPI3U3YyJibQmUi4qVDPF5NHXThVBCec1WQKaez7YgvQ1eddyaDqW88zlUSbsKvxOqLeCr2GoHLuqQu8MUkfsYc9xKriqYKaFTbEEaRjshEdXa0JfcRsOmOQENpCqHYMKVcnMU+C23CNbjzTC4fySXCKbXvHeY4pBBqF8oGgU5IUjH/eYotRLiwtTsni2Vc0DA6UyvD5wyFWCYW/Kb7cYF6jqgdTNkLrgPrhDX01pOnikG16cVewawUji5PXYPpcfDZzoITYIq6s75AGosZSfT3igHV4y19YzZIct8DDteN3C1hm8zqjcgJjIJhXMBMQ4uL1HmtyhrqOOLWlrMcVw/sAS7/JoPaUtpepRH0am1B4A0peHnLBjYgLXztFmwaFcPMzYncN2FlcsXXQEDOZxwLYN1nqaZxf0KgQxHLtAKJZYHG0DZRgT+U5LYXVkWM0NzWvFRRmDJaTDHFSYWYW+CHQ6Y2fmHOkrYqX0lYUCbUhMYubqYUupHGIdblWY7QIH247BGDpfsa3rkRaYBIIQztaYlPE7MIc1UMagtWa2pw4O3HvtSMWyco5otrTRcrprcSQ6X7htM3bdolMhP07kpxM0CvhMRYctERsCkQbU4LRw5CYkp9y2W/wAPiuznLmrLYNRkkmUzSEOy7wJRJ1BbXHnkW61w5TEUZPxy0SOwoKKWk+pgEl5jY92TImcKbqZosmiLqLqEFG870bVli2EeYDdMTY4pnnFTg+I1iDHF8jyPtVQ8dA9RewRbnbI7L/3hB9PHU8qw0fZk9dbbu9W/J/+xb+iqx3Ymkf9A/7x337M7398iGlWXL9QlqvA9uFP2Fw5VusJ//Lsb3L+0Sn3Hh3y8KNTWjvHS0VMdxQcisO6TK+JVAo/GqZch5abbJme/QSnGauCyafUBWpV/nf/m//tL+0n/UVCmr5FvTu4e/OXz2nI5Y3x1DuLv5lte7ucgrxFqfZr1JHyOVLbx6QWwWBF3tKlrDF7Hwt927H9qwBMvZ3JV0G/A+l7v8uB9bc9v7+Jwf+3lYx9l9IGf5ceTd9WWvZ1/kzvs56vAwjf9xjfhw3zV0F2+ruuzyGTsU2tQCp//s+wd+st6P8X6JzL/r0q+9kc2f/f7EEpAZyVMQHPWpyzOGupnKWpHLX3pFxY94HFrqdPiZzLKNXSfUAJgrUOX9U0kym1ddR7GUY9P+TswUOOzu4xOz4hpTQCUjm9Yw3w9Wyo3ziTsrMICSGTqCliyEYRtSCKNRFJBmdAJBNcHhOCClAqrICRjGrClFEOaExPzo6cK/LOUUohW4OrClaENoyypiSGXCpstuQY2fVKLQn3xkczF2IlbKdjahlOyc5Q22FMzqIGF8ml0O8MJRWCzSyagBGDGEHVor0Bm0kyUASKKHnoyc2cYhyqSugrApaQAvNoR6lLrZR5gy3K2SSzc5mA0McaYzJqMikqRQQxllIEs89oFq0wecBoAjdgMmg2qI6yFfaeT4SRSVeywWTFaR4NX7VQnKDZgLyZTBOKE8QKOTcICVeUNnl2pjBUCr4ha6IUgy8bIoaiBqKQJ0J2graK8YIxQnIQiyFiMFko1UCwEZ8qJFtstpQpBCxJK8YLwVG0RoceUbBlbN8xPVBoJ5EuWnbRUTcZsZ9fr04Fm0Bthy2CxyCuR0wN2jBYS64MaSrYddnPuBuijKCuqqPdJ80NooiJeIk0ZZRz2TImStnYo2ZMUxzthR1CTcl5n2kHJNBkKKWGveqyL5ZgLGoEsTV1HvASwXTjLHFJYKEGPEojaTx+Y5iYzFQyop6boaYZPGIzSKAflXsENRQ7CjttzoizqBe2BQ77isleurNuhNQq9IHCFMQidSC5BlULkkami1GYDcSbCrLDrsdEQ6mFulH6Ssi9UA8VZZoxvmCHgKlHuR9ZESkYqwxYfErYXEhZsF2EQRhoCCajrtD6TC9jwlcLFISsowxLyyjrDFZRX9iH4O0ZFgq2Q6VQ1FFPNrCrKEMFWKQokhSiIK3FNoqYYWxyQOsyJuVlQ20KMSspjqmThYZEC1WHesjOYkUwFFQTg6lJPkPb4RaWMYsPtDeYpFRa6JqGhMMEy2SrEBllWWbACjitCUNBVfahE+PkhSbBSKGYcZ3VbjTNjiaQh4yJ4ChYzRgsjpbWVWRria3itpYsFsw+SawUDEqf7ei91O7v/SKYQRi1d8rOjX7nFIWYgDQ+7zJgQEXoLZhoMAINA9kWioW+EuLG4LIQnMNQ8EXGhs6jRC5PC3g7ygy7AakUayztrrANFcW40R9ZE1KUATBOkUqRPKYYlv39l7EUGT0VIxAMZJMRMRgsA6CmYCgYFynSjCBIFpCCUjDJYNWS1bAjjd7L1kDZezWZUZ6MKKaMGxEy1vYMLmFTZlJGeZyN+7Q2C4nRi2kMtVOcFrpaqMZ5FupSSGnsK9cuIsoovRYlOqFrwbk8Xhe5olUoZILNiNhRqukFipIFemOxvieIwFDTWQfeIL7B1aP/ccgOJxajiWIzMYJRxUmmBmwR7GDGBFKjWFcQ60GEMQfUAMqgmaA1Uhw2JUo1ABFxBrsH16wtRJsRoCqGKJmM0HQTOnXjeYuJbECsMHGebCPJFZLNTCrFWqEzNboZAdmsNcdVzYGruDer8cHjKks9MTxuWh6I4W65YLXuuNj03G0hBsE5wXhDdobYWOpTh9k5vDTMJo/g0KBty8d/8ANOHx9zeG9KmhhibjBpTLCMNhJtIWSPwdCg7GygiKMugi0GlUSUjDFpFNiXbyar/CUFpX69UlWGuI8dNu+YpIsg+5n0UbpnsWac8Z1UNZVzzJqWxXZDFwK7ED4Hu/4K1V9EosVfVinXX9d3u77uuvvr6/F3W8rYwfHG4owlh/Id5Ep9d+oN0AR8waA857wHmwzejO9HsWBlNNzMey+PohBjZtK0tLVnUnu0QMqFu3XHph8FBsvtjl2IxJyxZux4qiq7IfCTV9e8XO2YNhXzw0Puf/Qx57/3hyNLxVqayZSsSsqZ3Xa39436IvvpfYDp31QNwzGN3mF1y07uo/MVzK7Q5+cMJqL7tKpZmDFNU55Pn3PY9ZytCy95zJTAEVvgjjtNXOiatt0i0hCCpe8tzinNJNJ9MHC0hvNXys/OlDhUsDxheOZYaY/qit9rNpiQqV717OIoQZODQkCxnaV+XfGoCUQRLlF0uBzPubQwb9F6IEwC9VWNpBF8rKoVTZ05OQwspGKbDDdrkOoAW4SJLKgmx+NVo8+5WkFeNUT5kMM/uMeTc/ifPLzmXzy/4tmrzM9+MsPVS3A9yaUR0ChC31fUdcSrZfbZOUN+Tqo6hrlQbXT0LGrTF0/A+hTNFb0u2BBocuHgVcfmBIaZoVk2bDf7LnF1RTiE5DzbpyccXV5zxo65NLxKiaHN8EC4vTas1sKToedaJ+ykRlpIp5E0H2CA82uYrZSfzsHnRPPWs8hAmNAP93BuhXML6o0n3VVELPL9JUM5IQ6POH3xU0owxPW4fz1jmt2T+wO3MdD1ylDBdAtna+GlQDvbMD9Y8BSYLeHep/Cns0yqDea8g4UiVY8crOnuCjk5BqmZXHZk25PqO85rT+iExVUmTm44KIVza1kOZ0xj5olZcT0M9M7Q1yNI0M0My3NP/omnHTIzM3B1ACnNoX+EhjusHWiaSLUakOkEe/8R7eJTgum5OrshhYTtLcQG5z0uZx6+umTJGRbH6aYDLtlpxYJTuPFYqzR1R9929ALPh4Z+e4QpBc9rwnkak952gt82NNFgMago0YBMhLQ7AmORR8/RpyewnhEQquoaqbeEvCLnFlOEOSs6HiPS8GG54HmdWbaWbnWGsTOkNdw2LzlcD0xEeP6koVoFXD9KWBxgrXA3hXncMgsDN/I9/G5JmzbcezBwvRFCBwvGtrUGzu9Zbl9ZVjcOJpE0KFEy+EzG411FqZ9TuiNKOOTJdMeqr1kMM2AOwxZd7Bg+nmG8RQ0MzeUeJIHh0YBdWaobz0dPPWtruHKWF90Upw2NbYgnEYmB+lWmGh4y5IE1KyZEsAmpAzMZWYBpVZM7IaqiC8i0GKfU1R0uB4yOANRQBeY64Sw8oNQv6UrDbThFGaDewMk1qVckWSax4Wi4R3A9F80LmqsGFxXfd5wFi6ehcB89MOh8y/zsOddPK7ptjf78kFMuaBnwyJi+5yGcBipWmMHC61EuNdTw7IHgL6DdQtsr1zMd8e21cG3uMNnQhAYuweXCbBjoPxDCXAgm4F8rdI5P3YQnO8Nxtvy8naFqMLbDngT8tcethUqviV2NGTz3h4FXesAyTXj6854pWxo6jlmzORT6o/E50rzM+AXEyYYtQo/n8TBwMbfcTgxsRuBPVRiGGd73NG6ACyEd95RJRLsZWkbl0HYSEVFQw3B1jPcB4wcuvYcd+B3s6o7hSDATQ/2iQQbQS9i2kQ/iig+GHf9NnnCQIvdKx0/nhWg8xTb4OzhIgcMU+OQxRKPsFI6MwZQJYbjH/YNPqYeE7QUaWFjL6+Twl4Yy1ITQ8pArdnXi1UR5sTtDDmrMI0v1rCAaWTc7hnuB0rdwcUx9UqNY0s8t9x78jNgrF88OOJaa2MDr046Dqx0ltqzlAWfV3Sj9K3ASAjJRVh8I3U5I/QS7PsMRMfQgPRyBaiK9XsH9QhbDcn8dWVto+56uuSXjGeIRi7pDEY6HY6ReUOg4GQYWvsLUDR/NT1nNL+mIVFfwNw9XVNOG/+LwPu7TO+xtprz+kH/0kfK9x4W7f3TGwYsacyk8/y//DVf3jrhzhn/+r37KZ2ewqIWqbRCFwUf+xfd+ipPM5qbj7LDQ/o1TZrNzHvv/Gcu2Z1slfmyPuZNLVtyyigOqRxRmPMYTyQRVlotj5k2irQee+i0HZsdJ3XOXHuPsFmc6LuWAieuZvSOV/Lr6Sw9Kff3E8ld88RWmIl/un74ZLAoQcyG9UVLI2AFKJXM4ndI2DXm5JKX81jT9L9Is969aRZXvAFHqW9VvyiT7N7X8NzFvfhvbfN/9+bp1fheu7XdZTb+qgfevYwT+qxp+/6rA1C+T+P0mDMz/apVSCqTRThTZS8u+q8Dgb5uB+4WjVv0Cm+wX7pF3ljudTziZTfnBwwd4awgp8unVFXebnm6I7MLojmpEmDU1R5Oa+aRh3jYMQxgng0ohaSHlTNr7QlpjR6mfGJw1HM2mxDBwM/TE4xNOvv+Qk48+pjk5JYRIjIndbrdPyn1jXP7uIX3z/fibPvd1vUA0kampZDkyQboKHi9RIwQEfw2RLbuyQe8O2Enmuoq44QW7prCZZaqNI7WZdrZk8joyJEuUQlUlpkQO+siLpy1bVS59we9OUAJh+op6d4S2lnQ043YVKXUiHEW4qFGvo0n61iN735ZXrSUHw7D0TB4H1BWG0OO2N2i2pPoETM8bHnp1FEeLj2UFGEpSDjo4aG4pYlmp4ta3lOIJ5QzvFzS+53z6jLOXVzQ3B/zXNz+kqn+P02bNy7N/CX2iuApz7xi5HmURdR2xdoygidU1qmBNxf1NT5ccaQ+CHriIcYXXXjmdXo/JZ1uhDy2hNByyou49Nhom/UDwfmRTBA83o3SqqhdobNlpy+3kjmriOXU14flz+nAEpqaaGZqUiXm8vu3SYjpBZoH1DLYV3L+rGYwhGqUdBnaVMjhhUp4Tq0yaZR62ZhwAlBXVtSNHi2ZYPhLcOnO6LvSqBGvJ3sELOChQFeG29pTs2ainD0pSS0wGB5Q+s9VEnRqcmYI5QLhB1xPKpmHXFWrtOWLDuqqoKuGgVu5CIuYJ2ZxyEK7AFF5UnlRes0V4UQkbcwAoViMHISDJoDvh0jjCxHLjFTtU2JKhviKe7ZCi6MIyDJY6Gg56ZXEmiLacf3LGtntFzEpPxXWVsLWgxzWxLwxB2O0OqaoBNVCzATqcjp5YxwWSq7ltHkDnKLGw5gH5ZUZ8orIdS92wbpToMnldYbcQXECqa9AK/fk5026DdwvyY0O/6SlDYvKJkkrCtZ771SnXaWDndjwzwACzLrOZ3WLtGpM9w3DEnRWMLdSLBbmDIXmqKmKZ0mR4cLOiziDecPvQMl1m5l0mrR5R0g4jHfdnkdVg2STD5aZQyNSTSDwPWNfi7AnD3OKuBX8LEg6YlZ65XjNdVXQ+wPkN9aojykAygfou40vGpgQIkzym2F+99iRpGNqWfohEMoJyXi/pmzXb1vCiTiQRYnQM3RKxidZnzg5PMS5Q8oabDzqSKCqB6dMaLZatrzmTQMmJ0Pc8v3dKqjLGbeHGQojAkt7tyGqopBBP55Q0getztrkHcWBnLP2KmsBH24Y7a3A4jsycpe+IPhKb53AoQKZcZogKGEQa+kdzgrP0mx1hOaVWONmt6btAToZcVcR0hNqCr644OUmYVlhd1TgFE0DSvq9VHEN/wPlsiZskrk5BPTAU6p0SK0UrZWJa1qFCMtS6oJWOKkfcMwUdn5udKqiSRbiqKroQsCXzyGxZas2WlkMG7KpQ94VJCPga5AFcMqDrBulqnukhZeioS2TojknaAp6HdGykZutq5PCaUgK6NGz0cM9KUyDSpEydBhoCaeRVcRACiQMic7qwwIaE22Yo4FLG5Uh/YlgF5ZlJeJcIwA01x7uBZITkRprGzhiCbyjXJ4R6x+LhkuHygCxQ+Su8LQzOsvaWaCOhs5TLCh92qMlIXbiblpGxZUHTFaZ4/KuKdFxhgsUuevzCk5MjoUh/y5TMacxcvGzJOXHMHRtfkQXqbUN2kG0D1NyKoWRLH2pu3OhNmC+gOvRMveUwwKUmBi3QObxZAo5hOMPe3IGME1HeL8EEurompQPUOi5OErEENMHQD6RQIcawqOGD3z/g0aM5/+DHT2B1zm4X+eP1lu5fX3P9tMe1t/ioVAeWDz/seNxMedi0PHw5Y31oWB8WghbW0x2Znk+eQLkrtFeOLpwxccosK8d3DdsLy7+ydzgDPzr+MY/OfsgwvSKlRMlKnRIDhsAJBzqy24z2PK8GrChWhWHSk7Nn3TWU+R29zqBMMW7NIJYtU2xuGaRhkPk39pP+0oNSv0q9T3rgG/kAjJ31VDKShD4Emmqc1TB/hQZ6b9tM+WuGwW+ovssSxN/F9n6ZF9OXP/tVtvN16YS/bJu/rf153/Z/3/378m/+vK6l7yqo84V6y4T9/E8jMqaufsd2/3clw333kzdhIW/KGOFgMqGuPLV3iIwyGGMND48POZvP+L0H53TdjsVmw2dXN/ugEMUbQ1tXtFXFvcMDTg4mTJuKylmGYaAPEWsM235gV8q+/d/cXwVnDN5Z2romGEMRYXZ6j8nxKfXBESqjqKuoklL6Erg0AifvSod/l2VtQLSMiWQljtKA5Ci2I4gnlQpbIqZEIGPijOyU3oE3/Sj1EOhtC0YQo/hcUI0kM1CbNEr9tEJ7iN6wawyNmDH5TgesGRDjqaxlqKA4Aczof6SKbqHqBcWQ64pcOnJRsuQxnamMMg+kQ8RjTEsxClIweylgycLQudFnqCh1EqwWVEb5lqYtFKj2eXlWIlNNyCbRbR2LEnh0NMUUz9QEOqdkL5jaos6jVrAS95YKBWU3AklYXExQHAWLSNpLSHXf/hFHBmoiY1pTbusxaSyMXl/iRjmO5gpUsKbQ1D2aagb1bCgcZqGKBjtssUwo1jJ4yLZALpRQY0LCpIxUhkHG5L+ZBa8GUwRUsXtXDmsL2XgSNVoP+Jxpo5CjR4JCDnTS0Eqg1kzJMqYIKnS7CjFpnyw3yp3iXlanSQmDxQCZwq4GKsEbwUVlKB4TLXUSsrhRwugKBQMCrmT6PEqrVGYI1yQRdsZgQodmy4YWxIzSOatIBFOgJMEaJYphkHa0WjYZqi3GZyRaSnGUUkE2uLhDDwsUh904mtyAFjox9DoyLcW0FFGKKME4ik2IzUgV0MFhYqEpY9IexaAiSM5oViIVpo+YoHgH1KP0ZC1QlRFgkCjQ5vE5ESa4ssS7HWUyylVLBrMWjHeI82AdmJ5iEtvO02SwJtNKwIeE5MRW50Qz+s/WXaQkS9HxeSaM7xljwexlzsYFjCmgQq8Tsr6JOLN4B7UtrHqDE8XUhSQVLjt8FtQbmjLKfdfWYKRgJZByjbqCcQlje6ykcWBfeuyQqIZM146GyUbBbD34iuwrtOoRzdhSmEgkiyGLYxstksfEyWwGvGS8jLJSXwTTC35iUGPI6lAjJCxBaloZYwSLzQwGxCitTVALWSIdO4oUjFOqOuDaQBocAxNKGTVzKhaVhFOYxgkrE0YGgnV0VAQCWTaUfXqZdoYKxYjiEaJzFFfRS6GSUTrmO6VPnoKhtOOzkGL2Uj6DGiE7S1UMFCFJoVT7NEgpaFXQVkmVgQwSDXZrx2vKF0QS0dRgBKOBqkrUFGRtyLWS3Zg6WfBk9STXoynicsIgYCxZHFkTJgqu7CXwYhEzisKRUdK89aP5vUtgRVAHahRDYBTEOrI6JCZkKBSraBmlksUX1GYwBTsoyViyUdRnlNFfmaEFjZAimDy2vbNI7RCbEEmYIuTBsBsM85Io7/QzsjEkwGJRcSTj6I1FGFP1YhEGNXTGEIOh9AbpBVUPVjB1oZ8KWQUbDYk0+jUmxcwa2Eu7bbSQoZgEuSCaMTkyxAlFDRU9fZ1QEUy0ZAzFGkwVGOLY/1MVghmFevQg0/GQTQarASOB6AouZqyAbww2OHJRgii+FKwUvDHkLGSB1ETuT1smUmE3R5jKYl1h1vb86O8c8eTJjB9/cI/0sufutuOz7cBdMKyDMDkS7k1ajtqKx08mPJRDjqTC5YKpgCpzfFJoXKaLgYDB90q1gyQ1B5PCwUQ40TnFG3IjxJkhT6aUpiXYnliUnBVfEpQGUY83CaMZ1UjneioVHJbkOwoZmw2NglMDYlGJJAxBK6w6sioZ+439pPcGpUopn3tafLkT+13ruf8OSt6AygAoIWWGmNh03VvPDGvMW8Pcv8z41DioebdB9Iv//Ov6c6v3YeF8W4Dor+u7Ia/7VUzuf9Vl/vKXYESonKV2hi4WKIXvkojv84TT38G1J4zSO1UMgrV2nHgRoWlq/sO/97f4/qMHfHh+hqsqXOWZzqeczA/wxrLbbPgv/+iPeH59zbObFf0wYI3hg3vH/PjDJzw+O+H7D+/jqrGzcnV3R8mJnBKr1ZZnlzdcLlZcr/s9oDWej7r2I4jVtNz/6GOOzu/zw7/77xBzIcbEarEYmVH7w3gDSr0vEPXbbteKTFMiQz9l6hwzDP2rHYvk6fOUKZe0FCojdM2WvAfkYl0zT4nD68SrBob1jHRzQMXPaV3HUdVheliZI57W52j9M2gsQzvlUf2asBXKTQPVwDxuOX0Z+dkjpfQNzc8OKe2W1AvDdc2RrEmHFcsH58x/9impDKznsHl1gMXQtJF+1iNNwOeOwWVMtjSxIS48KRn63nHADk+mMobX0zlRW2Q7QSuY0vFheM6ty0gBvbT8iR4yGKFJ/zW8OKAtwiOBT04DYdIjeUesH2PUUe0uAJBSqPqeNXMG4yiNEOIJqpa6vmQZHURH3cMKKMXS9xMgQw03v3fO5Ok1fjGQmI5ANIZeplR+Re12nDFwKYlN8bA+oA+J7BPUDcIOIxt+XjIyLYgFnn2AdwucrNG7GrWB5CKvHgQe3DlO1jUvGphq4CQlbg5bTH9KdTPn+fRPebA44OPlEX9yr8PaDt9v2Dx7RO9WuHrFblfjyXgyT8sZTFdweIccBprrAb+GD+SUjQiL/XXXzWB9KNAEjpeBs+sFn/YfM2HDmbzmoq7pDgvrE0P9XEh9YhcC2rZkIAJ3VY2R0evl6FYZ1LOSGR9yRTrKLB4KyxcVyXvikVBf9UhfE7oHhEefgg0QobluKKFhCIeINCBboj5l/hySTdzVF5wO55gCK12OBzBYdDUZLZNMoGnGIyt1Id6PlM9m2KjMpONCPD1Q9a/HpHsvpOTxPlJJYtL3zB/WpBrWVxAPIgZDe90SrmdkU8MDj1wZcoH1oDAzmMYQh4ownKKD4xmvCbPRRJ9PTuhOFlTHHd+7FMxWSKbwor4dh8cFXOeROpNd2Y8HtmSXef194eBKaVaJ6vVrOhG6psIcgG4g7ww/uzzi0ZMNT052fPqzmjyN6CSiT38PyVdYfcUhMDeGxgrXp0o3eGKo0VmPbBz1Zpwsd+pw6ugOO+YCB9GwArYWNlZg16K9R4zSPNlg1ol8pzTG0A0zWJwAjrrZ0LZLhiZhY8R1gWsuaXPmIEYeSU3PnCXHdPVrIg1xOOVC19AKnHTMLy6ZZeHIWl79ILIlcLtWmnVDU3tmDz3TxRVbO+HF4/vU15HSF4YhcyyeRioKM5TXBBN5Xa0ZhiPs4DnYbFkNheQtSENwHRU9R/3A3WUmU9P293nAc0S33NwqW/uIPBP48Cn++S1mZ+FpxWupAKEhcBBrDMJ11ZFOE9kN6OWaiyODqy3t4Ckroew8XX9C1S8Rv2NX3VE7hzU1kqE9FLy3vAwVw2SfDFoaYjglRYe2nzAL4MTxVD+gqlZ4u6UDahW8Ndx+bDh7OaG9cOj8lkoSdtLRH9xB55Foac/viI2QKuEV4O466mVF9+I+zm9xfgt1R4wVMXv642GUJxpD/bwmmEB0Pf2xAZaQ1vDie+ScybmnbdfEaUuYNNDMuO9W/NAu+C/amuGFUD4tSKujJPCdElEOHr8gLyvCixm0Pbq3BbhajwmzguAv9mmzbWI3PMJUGXewIc4zslXqG0PpKsQqUgVOn94RjWG1lxMbE6nrBSU8YlkMN2+AXuBOZnD8Clsi1W3NMEyQNuFPnyLXNVIMTbP7wn7rTWKXIwstHOkCX3fcPRTCqzkzq/zeD2/Y/dSx6TLr2We4DUyTcG4tL/ySrgYvA//rf//f5W8/fsJhuoe7b2lmlgczx+QHR4izrP/4jp/cfcLF7o7L//tPeOkc3UnLR//kQ/5pOOEPmXN2cEpXNQwocfecAxW0V350r2XbH3LV73jwZz1Bx7Y9JvGDDwyn94XNbeHjf/j7nP74Cbc/rmlzpo3XHF38Hi9dYGMSBzjqzqMBdL4hxBm5zGhnn46TP6Ui2YD3GQ98HO6RitDTcVU2FJ2ANhTA50ytX5LUf0W9NyjV1DU553H28T2W/yYWwtf8av/nr98x/F3M1n++iXHm6wuAnULO5UvL/eWsUUoy/n2c/TFYAzErsYwzw3898P316ldJXnt3EPtt1vlN332bZX6b9euyjn7V9X/d978MLPhVGE7f9Lv3Ofdf/t1X1W/6+fht2+Cb6nfFvFIgFyWW0Ru5fMf8AH9Tctk37KPKyZjP8Q67tTD6OmmBgtJUHmcNzjg2/fBWir4JiatNR693WDtOVhVR4jAgpTCtHP/tn37C04srhhgRY/B+NDFfbjej7ErBV6Np6GK7HY2rtZBjZD0EVkMklEzRgjXC/OiUj3/vB5w/fMj85ISqneCqmq4fiCmNlPO91PAtEPUNl8uXgfk3HpC/jfTFP0iJWxFupKbHITniCFxMCoFCScodZ2zdgPc9/aFQOg8bD/cWpF3DOpwSgmfSDBwcvqS/jkgaTacHV6M6cBKes3yglDojbsu6z4hAOy2sFmcssmOnIKs7XFFK3YEo01nm/oOBzY0jBoN72tFGJTJluzvl8f0bSoks1hZZ3cesApW5YZbuo8XTl0J8dIeWSHMNfTgdTbOrLTPZkPyOzcMFrJWQDFdVxaa3UDyBA/A7vBn9djpd0BfLVg7p7R1kHT1+DpaoHzu28ThiKFTPofKJZCwhnNEUj5eE154eT7RCaAPTtmYiytndktIpWhxcHLHsp6zFY9o5x3mJTz3X9QLvO4yJ3KYK0cyBdJh2Q4NisuEiTnAuY51Sx5qDu0ylhVt/tbdzGK8lnz1WLbIQzJBRtoClE8egjn4zRXNBdEN166mGHQ0DP1pmFsBSBD1+AUlHUKfZe76g1PWCXFmKu8ej5zXObDBnS262A/Gda3jaQR2UlavpqpaX96fYywUpR26p8fEUDZkYe/rBkjVSahkZBKanqq4QyeSmkKaJ9OoMFGq/ZYkjDy3D0xavW6Z5YH59hT+KdCFxc1dobzJpCtszgd14h0FCdWBohNvjM5rLW5qceRQDC3fHIEKtCWMUyQNeX7PlEC0OOxwR799RjJKfTjnpFVtZnp0+omzWVBHO0hHLckUvAW2gzQOtzxx9ZAgNpGyoQ03KCVsrxw8jHSsGDJ3e0ZgeHw3b29EgX/YMp2NuqEXxTeCyFPriODlsWXWRshGi7hi0MBRh0Bkn9xL1JHOx21LUoMUj3Qni11gd0KenbIaOofTcu9ez3hzRdS0sryFHjBRO/C3DCl52FX1/RBtXVLZjaDYjk1Eb5lVkGw64yFOYrmljYNoHlrcVyTeUg5r7N7f0YthZj7l7wiopXcn0Q4ajHjns8K8N87ijycrzq2NS3ZHvbwhrz1ANML1AvBDNhCL3yMMrDjaZs2R4DQxMWFBxUi0wZcU07ojAjC0zOhacYkNLc9uzcYX1vGVzeEi3eUnWDHjCNJIs9IsatzxGi1KZa2LVIWbk+qxEWFUdeb7gtArkINzcObzfoPPM9tRQLo4wW8H7HqgQ71h9GLHLQKuZk8MN63Um4gmzwP3FJToYrp97jsjUVaLaCLuTRF/BomRunMNEh160uGvBNBE9UbibU4KjuJ6wtZioPOSSrSiKcG4Mt10gxsI5A92tZWk9w3A2WgZIxHcX4O6ovOXECMiE5D2rx5fEXSB2IN0ZUQUbhXufndDpkmWzQ3YfEHNPsQP3a6EPQgyCrmvMDmoDRwS6rmEYptwnMJAZ1BBCS86AyYiZYbcZGzLxfqReFmZLYdCKuAdVK39DOczkSUJfT8kyMp/wcHcAn7Zw+uKY7bpj066I5xXYCGXg8GXB5ZElePfiPrkd0I+36KszsBap4cHmNUFg49wYbJI9JbZ4t0A0I+uM76B4Jd4PSEm0O+X0ruwZOeM7PB5GNHhYzHhwfompLck1LF8P5H1CfIijbxSi+LMl2hRSDWdpDglWfksQh9hC3ewYFEiJCvjoA8Wp4/XLjEs1GLhbrDEnExzKIYbvxzPq1nH7ZMfw3JP7hiN7itydMRy1LJ8YNGwwd4VFqun+6IqSE80m8p9fveTfLu/44zSnPwtM547f/+Mn6I8Dr+5vuTwqTF8d4VeeqDKyuYqguwnPbxc8XV3jfhBIrwspWLq/6Wn+/t/l4YcfMTNTqsMDmFbk7Q1aPKU4XjY3LEshquDSCd4IpVKaPKMLFUNSmHqiGcMPzjhlYMEgWz7znmlRGk2ITDiNMyZxyksxHJieI7P+xn7Se4NSp/cfEGMghEBOmVwyJWdyGhM22HcAP5+V3L8Q9Z3u3Zf7iL/Qr9Zf+Ohzk/Gv+cl3pH5R3vP2m+/sPv8mS1UxxmBkNH6vrFDIpG822/8rV+8j9/pN+km972+/7UD3d+Up9XU+T3/eoNi3qV91n38b18Bvut4HNPoqAO+7U/tz8zaB9c07S/muUD5/Gx5S4xyK7F9W8vaYZf8Mn9QVdeUQgRDLW8l6ypnVrsMtVlyvdozwVSGmRLfdQikcTRueX91yu97utyUowhAjt+sN2yHSJ8U6i4qwGwaMgEExOXO369kMgawFX1U0bcv9Jx9y78mHnD54wGR+AHaU6oV+IOdEzvkXmFFv2u6b0al9m3xpSf0N6tHPvncPqzW21GxSYR465mHH1dFAs54wW8zpJ0J2AWxHM9sQM0QEaT0p1URGo1JrE3W9Y2sEkwWTlaEyuJKpSIhTLIoPhTgIJiqmZIrxexlNoYkGsYUyLWgpiMtUNpFkZMf40mG9kopF0gQrC3AKtcVsHaZkVMZOeVEHREpTgDH6XdWgKiRr8DngTMbZDMYQrSFVNWkLFM+OCmvWGBvJtjCYUXq5lVGKZSKUbUNVLzFuAOoxfQoFHFIVxGZ0N8a2OwlUpTD4QrGGXMbUJzGKt4lilFKEkgIgFGMBxRel0YL1w/i5VvTZ4ik4MzJcjIKokrPB2jENsjEeP4DLGSY7bLLYIiRRjIxpe1VStCR6W1DsfiAnaN57mFEwGHKTCE3kPFSUYtmpQZsN9BZJDmsLVhWrEExAaSA53M5hG0uZWjoZWT7kPII6xWKKUCsMlbCtDVXbk2ImJeEg1uSUkCG+lfGMQHMBFzA2Qvi8Ey5iEArGjNFZpQi5jMbhSMQxIM1431vJTBRyMRQspVSIOmoySRQxilhLFIcj4iSTzEA2BouiVlEpECOlRFSEYsckNkpBouA1AsLGtFQ64IpC9oyY9ygts5IxtVLmFUGEIesINAULRrGHBWPKmMy4VN7IxGxvKNU48VoVpdIOLwWLxaWCo2AmEZeVHA2dqRg0EREqozSVUjcKg9kn3BXEOAZjMerQdU3UTLEJYwC15Fyh/QZjxvSxyWSgS45+MKiOyXgUg2kGhDzKyUxFL55OHFLsfryVMZ1FLeRG0WwoHoovmJ1HcyZqGUHfMk7EeJtH+RWZXX9Adg41DmMsWivVNGGKI6shlnqckDYGMQanSgKCceywGDNK3Ept0aiYGLGmYI1ijWBKxeA9w9TA1XhcYhu8REzxSPDQl9FHjoidWopRtI4MqSaLEs3Ag6ZgxSCiWBcovhArg6jDppGhmiooVsk+UpVEpYHGJJbNhCgWV0ds1VOChfUEjoZRi5rBl0RCKd7QW4PNlknOlG6fyH4kpMGO53g2SvEEpQmRrjTkIvgScVnQAjTCYCyDWuoCMVnUFIrNiBlw1tLWQugtKRqc7ciiFLF7NqeACvXW0FeZbBNNsoRSjU/E3I1yagSSBS2IKHWAHMdrZ+I6chXpXEEHwbqEuIwP4zMJFSoMTgrGCmawWC2IV6wZoM6UaaboCZoyxAw7w6423LTC4bYQNWOmiSgVY/KuoqVC89hnyNuG4hNSRZBRNo6AZodIRiSjxqACxYGZjOej9AZjCjIBnSreRqwZE1SjGJKMLJ4R5JTxPjcZUwtmZrA3EdWCOkcNb32QjU2oKCUaxBmkKC5nBvGjZNowAlimYG2PeJDssJ2jMUpWZb1T/GGmagwfNDMeVAeUbHjpB2JdUWjAThg6y3Id2awviDdbSsyYpqXrFpQ0MDWGf7245bPljuSmqCSImeGl8uJBx/V0QGXF4eVAfVcT2GJMRlTRdcWzuzUX3YbkC5N7M5yfoX94j/Z7D3EPn9A2ByTNBAIkpRRLVE+QAZUBo+PEYZaE2jImjUrCStrL8AQRxauQsSQ8WxxeoNKCCS0+VzTqsBJwjFLZb6r3BqX+0T/5p8QwEPuObr2m32zZrdcslwtSGjuElEyJkRQjfd+Tc6Lk/Dl5qCijwPeL/bx3+VG/gGHI5/HRX1lvO9XvfiRv/ZzKd2jw9pe9nLd4a/HGMvOC6QMp57+K6s5fu75rJuJ/Xe9Xv0tZ35/Xtt5H+vldkDd+2/LO4IzgDOxCRgFjRk+Bv2jH8svqzSsz5j1YoyP48uYYnbUcTif8jY8e0Q8Dy13HT15evn1pb7qBn794xYtXF9wuFvQxkvcGi42zODtGUu95wjTeEvKYaPuz1zf7fRDqpiaEQMlffuu/kYMDFM4//JiHH37M3/l3/zFFRynfEAK5z2/3+XMz868xKH8HdNonjL/dj6+UNyN7AvRv7ryf/O//U/5g8YCz5T2uTj/BPdtgPttgTp4y/aTh+M8m/Ju/saBTIfXw+PafcZc7Xu8S9cFDUhQCGVNdU8zAKkNoGpqQaWJkA0RrCc6Sh575Trl3I1zWFTlnXAhwVsB3YG9g2VAmjnDu0F2HrjJ8Cjta3EFi9uSWsC6ErVJuA5+9nGEPoH5i8C+XZAY2M0Na3WLSOHBAMlpDeFw4enaJDIaOhq6rsBvHcd9yM78hthZ7cEolK+h6+r7QEMEWhtkAUmOjoWYBGyjZM1A4vwVv4aKCSdR9JPeceLAlVTvqXMgKQQuzHtI8MliLvp4R1onilC3VKOuqleHkOd542q3B727xpsLYUS7S92ek1FDKNaVOJKt0uxOqasDaz2UIxggnJzXrteFuiPQnPac3U6ZdxXUzAGCB82Hgqi28roV2eHOFK3W9JaVDkjaY+3B9Cnczy//02SP00jAsCq4urFNms9/mNMFBgpcN2G7AdgOXDsigy5q+v4fqgOqWth3YVFMWzYSPmpds5I4u3BEeCLpV9E456xXpEjF34GGSIvMh8HSu6FyoDy3yosIMhrqvOC/XBGNY4DkLgd10YHe+ZvjsgOQs3aESa8GEhmo4Z/JwwJvC0c2Uz7oTfC7clyVX9UCVE/deRj7JMxbekyZrYvp8kBCmYRwYaEPuEsUNlLMtx1eKsbB5tKJ/Wch9Ay+mBCYElBUd37+vnBrgWeD2AXRTz50cEMuarIFSF7g7AmvZzBZsC9DB8TNlV7u99EtI9yLOZc5+AutS2IiQ+go/DLQucv3oBdO6UA2OV+tHVGVNIx0fN7eogxwdJy8fsJze0NU71C2I9T4lab1GNZEzXNzWxAhJMwz3qKoFrt4we2jgIlG2CdpbOi9sbEU7dPgQMDHzWXcfXw1U7houYGsTy2nhcNlj/EDxhhflDJodcrSlza+ZhcQkBFaq7G5b+rsZTAY2x8LiGOqnS+gccT1H24HG1rRVS/Vnh6xj5lZ76qYiiOWVqzkerhlcZlVHXnVzdNpgTicwuaNbGu52FU19ix5Ebk8jxz89hhAJPKUKFfQzNB7zGGgQnBgSPyep4PSAOkzYtB3Pj1/D1UPoQJdL4g836B5ZED9goyBPa9AtzibafuDuBLJY6ldK3XXYUkhbg37vkMrB+e2WpzOlSw6uTrhsOiBRSmF2uULqAuctenGE65UTPmMzFEqBei1sTUeYCeHxeL1KZ+k/PaKPc0KGTOKwTDCV5+XHCl6pY+EH62e8Fs/KCZtjQ7UTrEA4F9Yl0C8ik59mcl2TvGU3e4XLNXW2RO2ZRJj10PCMa/OANafcXndfkMulaUKbxPAZTDVybHs4uUOnECuhTlBPI02TOHwONw+E5bnhoz854uaw4+ZxR3MBzRZsVIYJ+6eXEGWC0w1N6hiuzumGir63HPEZHEE4EPJ/l/Ai+KrhrjykMKC6ZkrB7TLmMhHt9Qi4dvBST6jylkm6JbQtpe2I0yVy8CEsLfoi0zS3mE6pu4q56Rmi4zOd0jaBUhpCf4K+WmBtoK43vHx5AscTzOEULzu0EsLxKR+lMcTgGoFVhQAVsHy4wYXM7NlApzUlGDTX+LetKvzkM0PONQNHPLSvMRroNjXLg8CT4wn/2T/6fa6B56+23P6fB/LDQ7S1rHjJq6Fi9Wnm//lH/xWrZ55+6ej7KUfc4U1k17YMR9D4hr97+hHPb9bcDWv+L/KvYTkgk566ukOWFbqr6Ps5ZXIHNiCrM+7LmokZuKxr/qP/7O/x+//wh/DBI4bsuMsdl3lKkVeIWXAGBJPpy4SjfEojzwlmySvuIWaLmoEraZjMdtTS00uNaEQI7MwVjU6Z5AdclQlJhZAFe2XoJ0qcFcTf0OUJV+XBN/aT3huUSsYhtcXXLX5+yCxnckrcD+EtTd5Q0JzRnOn7nhgDKYaRfvem45vHB7HonhWlihRlGHpSDIShZ71aEcPIyiohUEp52+n92jnPd5AtYwQR83bmV/ncdFz32/xt118lHEHYA4GAM0LlxgGJvv32r+vd+m0m5/16sp6v2c47q/wmVswvk5j9psG1L2//zx28028v+3l/s3J4eyK+ZZt+nUm77Ff87nl6K33a/+ONIln5nKnzxltwZJV80Qz83W39ts/Hu23y7sTGu1v9qrPxlg2j+oVJjdPZFCugmkffGB2lyKl8t+ievypQIu+ca1X9QlDHmzbLpXB6csjj02P+1scf8P/905+y7vpxu6UwbWp+9OFDplWNamFaWdqmpnaW1jo2ux1dGFh1PZNq9OG4Xm+JOe0niITT+YRJXSECXXDEXCiax6TaPKblibW4qub8yQd8/Pt/wL0HjxiGgVLKLwBQ5c1E1y+woz4/Pvhi3+EX7rsvNKm+WehXauevqyf9j9i0iT9rl9T6BHm0hZMVf+jv0z5uaf/+BDOPJAJojw8/4IfbSLXO5Poey2K4TYVDs2ASLG3wDLNIZkcsa8ruHqXcUfQZ5o/gVVzyp9UFjx/t2KXM5Rqa9TUVhdrARiBuHfrzGZULmJyJteIZmUjr5RP87gZNStMsGFw33i+XFc0uU8Qg1MxOElUQqivL9ZUjScGGgd0cqAWzVuoQqIowkwm+X9LZyF19w0k+xKdClDtuQ0MqFbWAyWZ8Nr09gwaouTkfgWN/aegDFFuo6kheTijWMEwV30dcLFjAd56qdsSPLOm2oQzg/RoR8KqcJdgUSNYxufeE7bAlhwHX96hbYCaecDAgHTBYwBBtJDU95l4klwmdTrkYHMmlkeVmBpwZqInMhkzvLMV54vQxJWXMpnDuarZs6dhxFAJO74Atr1484FG/4eHRjtcHsC09zg5cXB5TdMde+8bOQjBQDwM9DR0Ndd3jU8KlwjAX/BCp+zWzoKTkiZ1waaYUl6h8IkrEDhabLbdPLrHbTHUX2J5ALzoaKW8eMLkdOFktud0zaRDl6iHk3hHuWvKTiI2J6Qtll2sEj2wS7drTIMwO7ljuhCpXHIcKZplBI7d9oDuAvoLBgVwlXIaYmnFwui+/8/t3qyDiECfIgTBsPfUgnF0qGxFyC8W9xhxU2AzN64GLdeBKLFU5YldWuD7x+GJNZ0YgXTrByI4shs2lH214jRA/9AQXyDnhrh36eoZaxZ2uOIqGmIWLAsl7xDQcXB/TdLcQE5I9SafsqHkaCj52SBXpPrpGN4U6tcR7R+hdgk2kqke2qTWF+0eB5XbLNg7Es4xdBnyXSEnp9JCNa9HHN/i7wnStzO8Jm76wiYXqeIHZCmyFoW8o84JME2mo8SFR3WYOWLL2NevmDGRH8IpWEGONzhVzsIUry2StNF2h6gLrVrg7c8ga/Gpgsunp4hJTPHMqpmFOZQcqv+Li45bcAyvFfOCQFPCrLaeNYsgoSxaAD8p8DSs/YNRxvjhl0mR6U7jrbrhDUVNILlLF8ZFc2FFOt2Qt1Juaob6EWYWZHnC3jLQh8CjEMcAPxWjk1jmytXR1jd3u5U0ouyOhV0PsKtqLOxC4ouZ4G5ll4QrPvXhHS48xo8SxZOVoM7CNrxGF2ghrV6MGDu8SQRhDBl6NXl4pG7Z1T4qWAnS+Ix9nrHX4S5hncMby2fc+oC+35NRRL2skC6jBfjJDcgYppKahLQUbIkUass10VSadCO7OImvL7eCIZwFmS7iEaBLqEg/OLFtb6LJhWzvWQSg503QVeZKZ1IV0NMC2oEtlUyAvLDZ4rtxAHKBaVISDQO0rpm7KJmzJrqBJkUcvme4yx33hh39vxjB3LFv4+ScvCTuonlvasiM3SpiC1xtcHXFtoLs6JqQG2R7gfaGUihgbSumxs8j0xBDvPn8t+6sFbQdzIsSI+pbSntCFK6JR6nqUNvumoz5+QVwZbMpMhgFXrqhXU07/DF5tajoUHXrunIO34QPv4AS3SkyOGz2iPOhpVDi/rbhziWjeTmu99azailC0oe9b/kMe8SN/xIfTe+w+e427tPjmHiEsOZnM+Cc//vd49GiJcyv+ydVjwt+/DzJjGiZsuqcMw5p+l8jHLRTw/+Ypz6YdfVeobxf8uDngtJmw855XD48ZjOV7POXTlFj1yr3NEo/iDuf8/v/8HzH/wd8gHz7EdkowhQFlrj2eMd2xcIR2h0is8c1rIjMSR2SzxJNxminSo7kmMKX3O9ABIVG0RgpY3TGVFcfxmHma88f3lpxgOELYiKFzHVv9oj/XV9X7G53vp41FBOurkRrOCCi9mVU0MDKhcibESIqBlCKC2Q90FMqb+dP98mUPSoWOFAKh72imC8IwMAwDud+RY3rLxso5k3Imj7b4oDoCIG/WD28lZG/Asjc+E19Z73Zk31yWf42jvHe9GdiOHUjFMIKCTV3Rp4wQ3rLV/txBg1+jfhVvn6863q8DIX4d4Olb//ad++GLqxqP5c05fRe8+KrB3Nftz9d99qtK2H43rJs9KPMuo+IL3/C2sX7Z3n+V2OubpGtfCe599d59SVukX73BL++RfH4e3zzf3tjtyDvXgu7XJ/KlY3wzRt8DU2+uEeVzEO69T8+7CMEvXejrANJ37pk3MMM7i34V50W/8M3n634DTL0BsiZVRWVAtHArPaOg5rtVv8598Av33ZcRvP33tXdjQl5dkXJhiGmcPBKhrSu+//A+Ez/OF947OWZSVzhjMClxu16z7XumfY8XIcTE9XrDm/MkxjBtag7bGiPQVhUhZ4YUGEImFx077e2EZjrn0Ycfc3L+gOnBISFFSs5v3ydfMC/Xr2+bN+apb/sIby/4/WHzCx+9891vjjHV5hmrasO6CkjwmGmLzIQDLPVBi6flVAJCxBLp9QmztOMw7tiFh0ycMK0y07Kj3VVMNi3x/prBrOl0hVk9QMstpXgml5YyveHZieeDh2u6GHGLRPt6NBz1NvE8NKTsMcljpUUlkEwk+0gxDnaGOjcUjRQ7IKZAEWQXkQxiRl+TShMVitVR6kRR6r6wnlmKsVg8o1W2UoxiZPRsQxVTPE7LGGXkCmoMJloqHeUBRZVsMiKKMYngIIswzYVcIFvBugxaARYkY95MdFKj6keZlctEqVAVShllJKJQ98ouj9e+ek8KQqKMBv8SUJOxVcH3gtOC+EIwSpaC9RlNoFnIIZOBbCwikDzEWiC8eVYKndRkzdicMNaAAzUF3xe8GxCbafqWWRAOi0enUzY5EGLP7maGEY9zFpG8D0IsTESJCbQIpVZ0UCQpjYzGwoKi2SIGxAQ6BJsNvlhSn5BgkVQzmERlFL9vw+SgN6DLGhIIHluNCVy5FpI3SBIqA9ELJRpsX2go+4QzBzuLtUo12bEcFE2GIVdIW0ASkYjDU8Sy8wnXZEwQTBCy4e2rywcZZaBY8DrG5ZkxScoiSBpQ8SNTRnqaVqkyNPTcxpEdM0dIySDFwFqQaky8M9FRu0zRzCZ4XKoQZ8kHgkoYJW3F4/sGbyCdbZDiUMyYWIbDqMMXi4TxfBsz+u4WNfQJsnpMhuFgwKnFJDeqgPaDIEvCq+Kt4tqCixFXFGcFZ0dZahgsSR3FeCoxVDlTxUxFBV5IznDolMSYvlgqwBqMOPKkQXYZ26dRwqhAFkpx6HhyKc5h6kTVJmwR6iRMBk+pElIXrN8/a2OmpIQpGUOL4KHU2Gr87dA6tIBDMb4gqWD6ghsKvkSk6lkwxyRPtYvgEoLB9RaxDiEgZkdWJUmms4mSPKKWJGBNP762jAOzQ+uCTKaEleAGg9VMk8fHdzH7e0+EbC0uKKiM6XY2kkXRDFUXUDFsm4aahGU8hy4mPAlroEcwCJM+MVSJ7IUQa1IFKgXtDMYqVhXJhji0GAxNsyHkSEFxJY/btQW7qXEx4ZzSnxmyCBQwyWCKYoqSekPxo8GlOofGAdFMmxw9SrSZoakQJziETizGZYzP+1eYjvdEPSbDm2wIE0v0Sk4JTZYqFOp+7PNoFEJvRt+oDHatbF1EimAGgzYKzoB3uFQgljEdtOkxdkwB/OjYkg9rVs2UZ59ZjBok1zizQsw+gEQiRhRrLY5A1EwsguNNP9IgksBlcgVFKopGtCimC9gAloLPmWQNQ2mQYsYU0jpRDWDJeBtZu2r0WIqjxNtRaJd7zEIVDYluBm+UeW9KAAYoGaJxb2V7kmu8GS2Lkvl8YfEwyPgu0CCcm5aHdkIjFXkZCcuBYg2aChMMf3h+SnuecY3wwYknTk5RW+N74WbZ0XUNeRdJ3tNte16UNcUW8MJEeh7VRzyaNnSNoWoP6Z3he2lGKDXToNxPDdl5zOkBD3/8B8wPHiB+jqSAugSSqdhiSRgVRFtybCnR4ypFpSbT4mWDVzBYBkC1ImtN1oiQES0UBE0WyUJTr2jyjCpCNesx2VCKIZHJZIrkb+wnvTcolXNCk34OMOgbPf/nNOS3J/RN59dXOF8jxu6XKyDy1nuIvW5dRGj3kYsje6rswS1FuzW564nbLf16xWa74W55Rz8Eci6UlOhDIKVMTImiBSdCYw2URNBMKoWvbIovdNLl7Ufvzhy/qd/2kPgvbMnn53AEAAWwfPjoEby+Yrnt4atb/y9N/a5lVL+R9XzN376K6fJm7Po+LCDzBdDgL2YpXyEj5ksvrXfPwztI1tu2+oaD/yIWIF/bVm+Ak1L061f65lnK54+08gZ1emeD1pjRs2IcqpDzm3Xq29V4a/DWvr2mUxm3nfbslG88KnlniP+t74mvgAJlz5j4iudyKYq+F4tJ3kEevnqfjAh1ZTlta+becrXu2MbEkPO+Lb7+t38R6s0zunzNeXz3k1yU3RB4dnnNYrOjC4FSlLapOTs+5B/++Ic8ODpmPp1ycHLCer1isVzyb/7sp8zmU0TgeNbwyfMXPLu6ZRcTuRSMgHOWWVNxNGuZty3GGFJRXi+3bFJBjeX+w0fc+/Bj5mdnTA+PGYaBEOMXPKOAXy7X+4UG+BbA0m/pNA9mi2aL6w5YV6+Z6oxZOSaYLSEzmqc2r5nkKZN4zEscg++5ma25jR9yQOJjGXjFjF2p0OIYpreoKdhiGSYB1TOkPKH5Xxi+Lx1nZsXfHIR20+Pu1nQvKnasWdav+Gf/rKYZlnxkX7DgHuu7FTfPXvEnZ4oZBo6vFnx0+n02ZH66u4LNCWIy1Dv6+i1SjXleGMSw3BtGVCLMjSEuKgbTMugRVMJAYM0V/UGkuArW59ykCiMBqpr0YBjv7wvPSZzis2etiW29JZpIXV/AAky2wA68H7V8gDzcYS1ULwxt30O2POcxNFC5wAc/f8Vd1bPzjq6rqOuI0cLtayXWUFxmtbqi6XvqUti17bjeAtW14SQmZhrhyHATDOuhhdcAAUvPmfRc9xPWVDCD28M5d/OW+mKB7J/fr3c7vO9x9cAFEGeR0kT6NewOgAPlRzcZc/yI7cNj/unphP+8+mP+pb6ifJYoyZHSlLZdM6kiB23CH9SwUuJyx/BooKws5abhg3XhrnguOGTJHDnYYB5cggFZWrhx1IuaFGuGOIGfV+DA1IV6e0uoB5aTiJYda3VsOOV0uEBnhe5DQ/VpxbwUzg4XvHhdkdRBC4+GW1zt4KTllUb6IWEXgUqVQTw/kxnN3ZIpPTU9h6FlsMJlpQxnA1VVmL2CTV2T7XhuJyGQimfLDB5eQxXRNYT+mCCF9dkL2qsppndAzaPjLTNJoyRPCpnIQ7nhal2xZcZP9Rj1r0ES9Mc8SksaMzCZDfi7M3Rbs3j1GoNBSk3fH/FEahrNvFzWhHgy7tuTp5TXB5Acw8PnxFRwAer6EkUwWqi6DuI9Sjxhu+kJJEQy7YsL0nkhnwFPhcOkTFS5mUPowW4tj55+yPb4NbvzW66va6CjtT2Pfjon6JaBgeHFIflUcXN48PMJV2lgbXrsjxb4lcMuG4bHp4Rbhw7CXbmCzQ7Sir57wEyVE4n0DdQdNEWhH2jKjMrN+dn3r2Cdqa7GxLKdtXTW8vEwcKeOlVascMznnqPHnny7RXYWqPCv12iakdNDLi9fMKkz81MlXJ+TBoduM/7ez0lly802MQz3McZQ+R3HIRCNAW2YdB1RG7Yy4/svBsJh4uWTgF4p5A4dXoA29CI8qyo+CIEiwiv/udAKoBkGtFR0ckQN5HpgmA0sqEFqhumUV9WASYH69oLFFhZUo5YL8KXQDgO7Hxg6X3P76X04uMDYxLNSM+0HJozXrrWHTGj429bwb+sNqzxwb2u5i56deLp+wo4lbd5y8qefsqsqghv3tw4BUwrXLbzb47lrFKHw8WZg0ys7K6wPZ0x2O6ZxILeCrmSMGQV88WhwPL/t8Z3DFUf4noIJ2FLgpxX1pTJ5OfahbrXh1tbI4yXtXaJeJLYtuOzx2VMvagLKne44L4UhKl1S4rSiF7iyllnf8WDmmJoJV3cVr5opVx8dMfwsMe0Hzm8yn+mUoWswS8+H/Jx1FblqFOIEawPWjtdazIkX1wVTzlDdorstFNjQcEvL97liiMrrWPiAwHAYuXooPPpE8WtgDTeznmBnbDmHBxBjhb06oPhrpGQYGobpgEPfplO+W8YUmmZH96piUxo6e8hHMSJ24GJ/XRRTEZpztHqKyR2NKpv6Kbey5HylvLp4wYurJasMRs9p5ZTvn99yOPuAo7Mjvvd37rN+8YK75TV/fPdzHnSHiNyj/bBl+ycvePn0kv/XTxK990xE+CAE7h8ojx57Th4c8u8YIQXP6uk/5vyDnnBikdMfMtxvcdMJfyN/j4W7Y6c9kUPaXKhMT2X+LeviKWXCH8QDXqpjLYYmf8CdTQwmcR+PqidiWQCWGqseqx4jA0YyRrb47j5me8TBvQ1msAw7wx9Oeq6t8FIMm7xhQs2MX2zjL9d7g1Jvhk32nYGX8BWD8Xc7jYwdQcmfI7ey/7G8nY6X/QyqIG9YSjKu2wC2nmCqCc3BMfV5YpYTp286qGU06IwxknMZfa00j9HexkKOhDCw2WzYbXbEEEghEIeenAJp6N/uV1EYUiGX8vVyjS8N2P/i8n5+8yUipKJU1lK1LY+ePGbZB+zFFTGlPzeW1PsCRu9jPv7lZX/xszf0k6+CfN7Zny9/9uXPv0KW9gWCzFf89qu4Je/eh8Do6fYLTBXlvUdh++2YN5qu/S/Lm3v+LQXnDcjxDozwZfbNt6j3TXP7daSCb3bbWaG2hsrI6F2TMiqjHDV9CxBEZGQM5l/wy/nq5b/I5GFkBohgRTDGUnmLN4bKCXYP8udSiHsPlfwWOAJk9CQQEYwZr52Sy1sgH0ZZWls5ZpMJ3/v4I07mE7wRNrstE+/wYlDNYMdJBSNKTJ8/Z/thIITIugtsthv6YdiDD6MJp7MG7yzWGPJbuVWh5IJ3Du8ck7YixUTO42ztEDMpldEwVQRRZRciSUf5di7lbTMZkbFNrKfyjraqqL0npoS343ZDSQwxM8REShljLNZajqZTvB29o4wWVMc2eXx6xOm04aiuWEXh5XLFy8WKHCLvfY98x+vz59wbxvIX7xNjDKtdRx8ir28XLDY7QhrfqSkVFusd//zPPmVWv8KIsO0D3dATYmIIgaPDOW1dsUuJP3l1w8urW0Iu45bM+K6/2/X0qWAXW6z3TOYH/P6/9x+MZtPGUjUTbOXBWHa73ReAtC+DUvDlO+eLx/nucr/ghSbwRsP47mNR396O8s7E29cDx+9bO+PwDJxKYF0O0NywzRZtB4rJqGRqqUkm0blbNmbKLLfMtx/g/AUiHT07ZloRK9g6hdQStSKUCWIbGnZM5ZIVE3KpMHnOa7tkPqs48vfRyREFJZrf598/zQTdsTR3PM4zclrx4fCM7/sTJkPDg1XL1NUsQ+Z7645QX2JLph0sev3fka63bD8RbqdC0cCHcc1lntBRWNSQjQE3QH0BPYgzVEeW4WZKHQv35IrrMGEAKgF9JxVl4XZ4gWkMLGcJFcPZ3QQrQqawqBW7NRgznjl3J6AF33V0R0pxQr1aEHY10RReHSupTWRjkPURpMVo8lzXmFwhybHFolawdWQ4ClCBFEd5eUIsS6Lp2A4d2wZyKzy8mXJX92x95GJSUyzUQyFePAIqUKXqB8IJpKmhuthSUk2MFdPpNWznpNWUO03oSpFOedk/49HdltPZjvZ/9A94+M8e8aNPd3zmFgSgZOGwGfApk2+VRS90uSZIw/GtI4WOSMeVXxAp1Jpx7oI2ZJrncHH2ENPvqPolsa6p6Km1Q1VwZTRxB8FGi1kbal0RmdLJESs9ok4997qO2yaw7Cu61RG+1IiJRLfl1nukCCwT/UnEd5l8ofRVRagipX2GboVBI1ujNGWL98L9WSFvlBgN29qTjaHUhXScSJtC1gjuDi0J1gbdTmiHG4xV8qbmrB3jxfJguSyZK1fgFIbtGVUco+zdLOH9liEG0DAaQFMxqJAFVjOH79ZgO4ZDT323ox4Cx0Q2h4aFB7agh7eoEcrLCVUpiO9JQelyjex5geMcrRDrGhgoElG7YxagyhBwHN0YPIZFOOW2vePWd8SfP8TkHU4HduUp/S6Rkuc4BEwD1PCyjUgACRXDILh1y6R3XLs7LIH7ObF88YCSDDlD2V1yECbMZMJNk1BjINVQdQwURkEv5KzEqMSqZjtN6OECe2kp1YT4cIo+28u1RHntlwyzhBzc4S86oonc7BlB09JwGk6498NrFrsdLy8y3z8P7LThdTgnlow0W/LBinowkMf+jPcLRMZnwNJ7dN9/7DlAjVBXW+4wpKGlfFYzHRY4Mm4N6zgli+Ddlivvyb4wHAb80uNDoYmRh8Zw0FhOj5T23pSBQ17czrmcL4laMKlmnYUqwQcZim1wVc18fsjFJrMbdvT6nMmVxXrLagI/nloenN3j4X/yP+ZhWVPLwKruccsDqiAc2hn//cqTMVRbpRclqVJ2hZh3FBMph4XlxSW3647/ljmnn66Y73qqv1lw0xOSq/jTzQUz+wRbWtrnf8bBdEbdTvng8BB3P5Fi4U8f1dy8vGRYLPlbM0fcPSCEObv2E14RuN0O+Jc1eQrqCm0/BgIIFt884Q8fn3F474Bue8nRw8TBDLYXx9ysBm43HevtJ+jDOf7BEf/RwmIPW/S4xVcrhlgRY80Hbc3Me+rk+B/8D+FffHLNxU+eEcoRWQw7Cq7aMis9kyLcPDpgoMfELYe7wCAN62rCrF0yCQm7HQ3YewNbbUZcwETqunDRnJCcQLXCdUpqxjf4TguNCrUIda5RtaRqQHcrJClVqYgTS1Go6XCLTK3KvAyjp50xIxPqNKGpRi9PObp/Tckdq+spF7QYtajuSOkQFaGSK3QqaNUw9J5/edHxyXbgn4c7nu3WrE2iDh6RBTFa/sRXnK+ukPUV/7cXn7D7NCCrzHGZMj8z1I2Qnw78f/7oKZ9++oqhFHqtGFzF63uH/Fdzz5/4wKPFltXlDHEH/K3/5BStJ1Supq0mlLYnuzU/DQu8LjHskOqWUCy9WgiPqXQMp/jTakk0DSXVfNK3xLpDqzUXrqfVSKWF89ziaTB4rljg8Bid05ct/WTNUAeinBMnnlT3qFOKqVAa3O4IbCHZbx4PvTcoxTsPWrOHpd525PTNv7/EpdiP9N4K6952KOWLk9cwvsj4fEZXZIyjFVdhrBn/k5HiV79Z7/7PnPM4a75nWI3yPYMpiRQCs+2W3XqzB6QG4tCRw0Debeg2q1EaWBRnRlZVzBkr5u0hjLHU+8SDN4fGOzv/jg7g7TLvSJ/+MusB36Tuwcgucc7TtBOm0yne+9/6UO7rwKQvM36+amCy/yF8+bOvWc/7z7T/8uW+tKdvP/2qX8nXbfed4373PvoyYPXOoiNHVb44EBXAmzEY4M1AbQ8Pj+KlPSAW9oBtfkfuNP5e90Dy+Il3FmcMqoyASSlj2uovbZFfvb7KR+brAL5v8mxSVZyxTJua+7MJuRR2ITCkPKZxF8UYuweL9seuY4x9ynlMJlPYhrh/XiiNd9SVZz5p0ZzIaQRJyn72vKiSddy30SB6//wzBmctxgjOGNq6whvBG8HakbkTU6KPmawjRX1IeUxcQrCyl8k4iyCUogxDGJ+pMq4z5UTTNhzMZxzOJzgj5JJonMOLoFqwvsU4hzd8AZSqnSX4iHUeS6FyBukH0p46752lqjzWmLFt3kivTaKpKpqq5vhwShh6YoyIEfqQSKkwmbTUzuFEWO92xDKmmuS89xMqYwqWdxa3B76mbUtbeTa7Dmss1hqGnHBDwBihZ08Xd55p21A5gzdgNVN0BD3ECE3dcHJ0wMNe2abMxWovPfsFrdufX30bZua798Q3AbVvlg0pj//F9Pl29qB7iJFX13eUMqbt3S3XpD3Q6Zyny5lpU9M4y81qy3LXU3R89LzZxnj9j0r+2fGEyfSA48cfImZM01OEmCIpJVKMv7B/7/796+TE7/M8/8K7+Uvv8jfA1OceE7+YDPxtK6jFiuKI1DiiQtSyf4bqmEwkjsEM9PQEI5Baqjgn+1uSdEQCSqbYQnSKyzNUx9lMZZ9MxUACVAWjLSqOaIVdU4GfMGCIFO6dKhuZsjANB/EYzJbBNRzkE6Zhynl3gOpANSiyLoTpHFMy1bbGX67Ih1t2Sfgk7MhpzTTucMOEjcLKGQyG4jKh3ZGLIztDnAksDKZPNHGLFkexY//BhM+5qB2QRKnIqClj4oCrkDKKapOZ4ENApBBrMINiYkFyJvmaXDv8Zoz6LhS2NUiVEcr/n7s/CbIly887sd+ZfLpzzG8ecqrMyqEGzAMLIBoUie6mKJmaklmL3a0200YbaclNr7SSybTQRqaFpIXa2kSjkTSyCc4AATQLQKFGVGVWVc6Zb4oX4407+3AmLfxGvHhZ+bISJFoEdczei4h7/br7PX78+Pl//+/7/kgDhIgnEBKJKQU0Ah8NNon4ROKFRUoPoi0vXitQEmorsUkkSIFCEIPAIXCJwGiJqhWsckQMKCwhCnyEIMEoi3Ca4CUQUY2ARrNKYlt1bAWrZI5RnpGK6C2DUga9UChVI4QGNDJKoos0TaQUENbVjpVTBN+uzleilR3lEqKs0RZMqZAdg3C6BVVEK7VT7chZr98jweSoIDC1J48NjUrBgA0SiSBfRpKY0IiUhcoZBoGIjlaimBA9UAbCIBJUC056mRM0UNTEWrbzh5I03iOUQElQVQu6WamIUeCjxxtPk9AmSHSFnEdEpYmNRrFAxYCqDFnmCBK0TqicINDKI4kGoqQygqhAKU8eHHUj8UEjU4FzgiAkNijCeTF5qYhBIXykryqsNFjVMrF63RqlA3GSEgqJKCJpGpHdHCU1We4RWoIUeGkRUhEjLFeWZNlAEzhBo1xERwhKYHKFThLMfodOT5B3JRkloQRXC2QSSLUGKSmFJXEpRmTUaEQUaALLrKaoLVkESomKbYXEWFUkSIpEcoYgRtVWZlOOAFTtnQpBXfgfNSrQqEi20kgjiIXAhRQVPJqGZZFC4kmNJ6Zle4+sNNhA1yRc2+xw51rNeAWJktzeEUxtjl8MQEmEkaheRbLsrN0FIpSOEBVBdDirVzQugodse0iRCAapheCxXrFqUjqpx8QGFR2HeQ5S0FERYQQhjwy3LGmaY2rIvWM304xSw9VuRr4lqH1KJw7JhaLEoWLCsqnR3rHTT9E+JVEJg1GXPA0sGsM8zJG6wOmMSd7nhlmx3c+5crvPzjxB2ZKYjEmCRtYCG3N6I4XRCrMwlLKVJOfLktImOBXRVyMTUdFNBY/psH0q6OoMfcPR0X2CKBh35rjYgSbDnOYMN7sMBz1eLrZwRUnpHeW1Llkosanlpa0Mu9yiqYeUyYyis6I3t+RNB5c2BGPpbwWMaGV3Sm5xfWebnb0+J8eK0XbJcGSZLbYwfkEkYqNE9hLyUcGmzTC9AWLYY6AdS1KWoYCqQmpDmva4Nkx4eFjSLR+xMAkNEic9OrFIF9AOSj3AhQjBtUUatMHrlGgC0kWSICF4lBAIlRFsQMWAFg1L1SEkAYoSt5bpRi+ohQMhiZiWGSoDqJrMWrSL2OiJ5AgR0coh7XodLzxg2pAhKKJ0RAkxSrSJROWRsqYGlBDkymODbJMPzRLrEryURCGYxkhZW8YHS5bO4RqJsBohIt4Gpt6xODhluSr5oW2wjwvSpeY5pxjUkaIT6VWBxwcLjiY1QqVAiidhaSSJjVB60lyyUB2SzhD5XA/lNhA+A7lCC4WMkbGekfmaJHoMDRFDjAmNL0hoE85TtURFhYyKOQ2KVp63EgEhamS0JEGiASUcBQ0qZMhY4GiotcUmlsTllNpR6UBQkAlJEjUmFChRI2X1U9dJn99Tav1T0Gqxz4PoC/Pbc2BK8JSH0GXQIF5s+2S/4uI/nnzm/KUQcU39UwGHc68rqTQICEIQhUTpHN2TjLavsH2+jWirCynXIFdzfvSHv8fy7AxvHUjVPpS9Y1h0kEJifeDBZMLKWpxvH1k+RBrvceG8stwTWEBK+RSL5C9GGPM/brtgyQDdbped7S28bxls1lmEkD9lD//u7dOYQk+9f8FsExeghY/hAiy93OQnA5dLzT8FaF389wwg6rPO6vKeL98Q7fi58ByI8SkfNnUhfW3bs2RVcl2iV8kW6FBCkOn2s3K9f2Qr19rtFhRJilEatCJVBiUEzjWIpJ2eHoyXHE+mzJYrqqa5OJ9USTKj0Urioufm1gbbgx61jzwcTziZLmhceMKm+h+9tWBPXPfVn+mTEYos4/rOFr/1lVfQUrCsSu7tH1Jbh4+RrSs36KYJAyXRsUb7BuNrzsbTthqNhW/f2+dkVTEuLS/e2OPlW9f4tS+/TD095Wwy4+PHJyzKmso6lpVl4QOJMWz0OvQzjTKGmGYkSbYGWAR5YoghUK5KXPA0zjJfVjjnEEqSdTrUNuB8pPEQXQUElJJkaUpqEnp5h26vS6I1IgS+8/a7HJ5NePfDj3CNxTrPqq7XFTPbe9qo9trqdWU6KQVKKJQErSS9okuSJqSJIU+zVu6HAC1JlEYIQeM8ZVkSYk30LVCWZikbwyHL5YKqrkjSlEEIGKV44c4dtoYDullKOZ+2DBqlMUZhV0tsuWrZT97jnONguiRJU7TWfPTwgNpZGmvbe3wtP2wBQI/zkely0ZZpP2fvxUCIgYNZSb87YmfvFk0yYGIDHx0dX7Do/kPOLcQYnyR71omcZ7WWYSfJpcCupXcxtsGFJDKfTvnw4Jh52VYW66ZtuedlXfPBw0cYpdgd9qmtxUhFI9eFStbAnwjrRWCacvvV17l6+zlUml8UO3GurXh0Pqd+GgvyWbK9TwJSP3XOecYU/dOeJ/82rbYJXlUEHdgUp1S6oJQd8Dk9ND2lWETHTFimeoqkAjkiipSpFERyZOxwpkAi2wWl26UjawZyzjR4qmiYyytc4aj1ZpGa2/U2q7hkX56wkpIoLVJNOfS7VLGmcmf0gqQWiiO5i5CnlNoyzjJmekofyXOuw5IXqYmUVFx79W/QCZK0Nuz8y3/FYvUxq/6EF0420GWOKCWF6qKwEI/5gVrxoWj4VrEkXk8IM5jfi3g07YrSYuZm3feCxm5QecUszslmJWSKR9cGhMUMKoGcb7HFI0xW8viKQN/3yHoNHDZbhJhTsYSNCSQ1wkKYBaSryewBtanxuUf2JWESkEsQ1QBXpGAEPE7R5hSpF9juI8apYIphcHQNyhInah7nDU2TQJPCcIqzm7i6B6zI4wRDyYRtOAmIUw95TRGn6OhZNjmpm5OKMeUVQZwMEYsB6Z077N24xvPX9/Ch4aHa5838HQrbAQyRgtkkJeqKmJYADNWSfjLlg35ELDW6SaiqIcMCNnLP0SoyJzBPQE2PcKlmuj0iVicQu0g22BUOJ2uWsqTeSOkvG3aX6+d80SA2JpyGKXIZEA/hhrjOfKR5/LylenCMbNr5pK6H7b3LivwAkIFVJjDNHqCxHQfTQ5RvyF3OFKBp/yVltfbAgbo2eCeAFbMn2W96M1AxYLM2uCIEunWNq8EpBQkX46g9+Rmh8Nzr1qTLlM5M8FLT8L4fsEwN6dUGO9GIGpLHUFcZMQqyuKJxQ4QUDMQRm9Mr1LLPu6ngZ/YarvcaYM47W1vU/Q6/MbSMbqXkXiMShRl1oCOZdo5Jkj6iTpj+zoz3ph9yb3nC6RwmQ0vMS+pmwSsb29xJNmiOA889v8Pu8zmT2zXf/Z37vPODI45fFGyMh3QmXbJwxMAOKFyPhYB684R66wyqiJ9pyoWmMvfZqSWbjeThIkV0S5rBkvrhVZSqkPJpw+FcVli7SVNv0udDKDXlQU4sLKlfYOyUMXfosWRDnnB/4zbF0jD8QPDo6vv4VQ4fbJJlJ9x9OeV/8ksZr3R/FqFTSqk5qVbIpiGta9TwRdIq0Dmb4XdqRNIgZI374QmNVSxNl7/33ve4d1azf2Z47W+8wJd2Bvw1kxFXc5ah5pASP7tCsEu8PeFjOhiXcmN1FbObwVARdxX54x7Cp/hORnVNg6tJ7x1hrSJGz40vVryxvEOVpyxeyBkdCpogeHdDcvWDBcVyhZQnvCZy0mJAdvs2rLYRLkWKwJ/++Accl8fc++Af8oPf2+TsEfwwfkQT9wihA1Zy49UHbIxKthYb7Hd38SrlldUp6WqDju5wx2aI1S16ouLXQ4nZuYuTCR/cfsjVd/cYjDukV/scTx8xm44pT26ztS25MsgY9V6i7r9P5k74Sj0ku5qS3bnB1q1tlOwgRIbkGqJqoPKYRQc/L3F1SbXdQBqIIrJ636BjDjLhB1+4ScojYnPA6WqGz6d0R2c8aHpsqITtM8+PTiPhSMHbhuc5Y3wt4/iG5Wh5xotX7zK6eZXB1HCz63h995STxx4vF5h0SdUN+AaqUuLvAbEDDDgkQqKgp5lFgVYakyZUlSdqDd0N4uGcvq/YljWRM2oCTdpwVGcEa4iklKZkGTOs3SAO7oGuEG7J7ekOtUu4FzW9k4cI5bF5xnJDMBeR0yaSNRFpFdQ55gBQAdJDVuP2PknTSftTe4ZZTd07IzaR7mnN6aMuXkqybMn2KxtkRhPeXzE4mVDWkvtsIESOX+VkR4f8w3/5Iz46HFNv16Tbt5E+4Zs/fAA/hKGMfC0NaLnD7sZt5s4zWQhsaQnxiC9MOlwbDKh+/XV2fvVl+te26KUWWQ+pG8H72SNGqxtkvqDovMVcbTDzQ3ZLTSEkRgQaecIqaERUZNg1yScg+veJsocXQ6KYUkdPQGC1ROMwwXElaKTrEt2AkHq8mGLFgsR8hAspNiZooejESDd6VrpEiyWa5U9dJ31uUEpe0NefZE4FtFnrC5bHpcXguZQJnoBMPPkb1ovNTxwnxvipoNentfOFqVgDXtH7J8CXgGAlTog2AJFPGFhat4FW2hmw+YU3UIcHPPzwPc7GZwTnSJTg1u4unSylso7j1bL1qkoNch1oSSHA+zWbwlLHiPWRyrq2H9bHbLP78SIouFAznS+sL/XKJcLJf1DtvD+EUOR5RqdTcHx8wmKxJISIUk/AgT8LMBF5gvX8BAvvyQ6f2ve5tCzG2MrVnhFaKCFIpUCumSRCtJKmGFtZVIhtVScX/MX4laKtLChlmwVmPZ5aNkv7uxKgRAtuOh/oFylGK6TUVLZl1Nh10AwRoxSZ0cQIq6ahsQ4XAo0PZErQSRRX+gVapwghCTG0LLQ0xWQ5q7JkVVWcnM0ItN+/kyY47yFGlDZrVoig0LJluoRA41qQVQjBoD8kSxO0Meg0I1EaKSDUJWknRyUJO9c10+mM2XzB48NDijShm2c8t7fDwfiMo8mUDx4fEiJtZjhGjFRkiaHx9WdGeJ8mu4uxvW/OX3vWPHD+8jkQvjPoo2Ur5Xg8WRBpr+vnYbtI2QbWHx0e8w++8T2kFDjvWayqtsIX0J+syI2hUAojY1ttUgqCren3ely7uccL1nItQMj7vHTjCsTA13/0PtPZjHJVMlss17Z5baWxpXOEumG8qhAiEBG41pmWFkRdz64hEpwnEIihHV8httdQmXWGJ7Jmofj1nNOyu7RSFFnGsNdFK0VdN+yfnLKsqgvQ4cKjZz13R6DxHntxXdbXY32/CCE4VvMLFsw5GHh+Nc99A0OMFwbVIQaWleV0uuBwfLZmubbSOmjnyA8PxiRGo5UCQstOU5LcJBA8MXga56gaS9M4SmtbEFYIVlV9Md9CCyK35xVb+ouAVV1fYvo9PQY/OBozeHzCxtYmmJSqbv7/gu16DjSd+0o9q0VAKUWWaDqJ4Wy+pGoa6sbxhbs3ubq5wbXNEVuDAcu6ZtgpWJTtGNJJwvWtEUYK9vcPePvgmFlV4Zxfs+c0O5sbbO7s0B2NGF2/xWBzm6zosFou8aGV5J+fXzv/xydz/Jq59BNJqngpuRWfJL0+OeV8qtE760srWD8vzjnfPC3Y+3O4/io9xLqMpt5i3j0kiBLiim7QGN8n+j5DJ1r2n0qQtkO0KUdR4smIosGLQLrapi8CI9WwLwICyKKinnVJEKDBZglKSHRMeBSXICtSKXHMENGiQk2vTpEyQxnDvo4UEW6WioXaxiGxNGRBkkYH8ZSGGodHyQVHbhslMrTR6K98kfxxhv3xMW8dPiLMAxtTxVd/5SWKbkq1HDDYX3CXip1hQ8YeGE29OcDujmicZH6v4uzoPrZaIT24/jEWKMd2bfvuiXGfuNIYC1ujR8wcOArEkUPUgSAjZQd8VaNsYLQzZTbNCJOUjTDDB4GNimXssGEDpoaxM/jEE3orOitLNRsgVM4uDVPXoQopmQgQQEfFSDhsjDTnw2KjQRjgaESsBTIu6DNfS9769OKYDDBIjpstXAApI7IjKTsLoliRdBr6qxUdGppTiXhlB/HCkPBmhRhHRF9SVzWILsonbDJlXtTMup7ieIcqltRxiT4DvEAQ6HJMsIqzSqGqCp9FbCHYnqQI6wllyUQlSG8xHDEdtvOjcBIzsTgfOUkSdF23mXARKM4C3kkmiUGKMa4RJAeRlxuoel0eXh3y+nsTEIJFv4vKTnClpT6KnO08RkfB9UeRft0gQsABUjyHzAR6NKV/1EGREouUZnCAExZHj2tf3qKTKfJZyWRsmEnNwUbO9qPHJPOGsFDsvZLR5A3vLg649+M+cZ5wUyqCWVIMJM//3CaZydEOzFHJX/IdhClQ2xs4tcTWC5b39qkXGTFmJKMNvDlDhEgy/1nS5+aoYcMv2MiwcKTW4cddBrbGVUs6d29ijjrIlUEPPDKPCB3ZLHfRXiGMofiPb9I5vs5zsylfrB8gRgaVJ3TPRuBKqrLij09OuboZ0bkief8Ku02gGWqsOmSV18w9bE5rGjXjVFYEU6PqgD4wLSswDdgdiwySWQOVjcQSmqad3xQGeTF6oYiKHMksBOq0JPQP+cKXvkhulzA/43tvLahmgtoajD7FKseZMOTxEKRmZjRRBRhUiP4xTd3j7Sbl7O2K0fFbdHoJ3e2chx9NCbVDxkj/miRPKgp5wNZ4h6EW7KYNk+6AbjfjyijnF+IdXhWGZrTLjbvbdKPl/vSUDz6cUTuHSBz2rDVaNumA6iPFQ1vxz5MDxOPAmtKBOt5DGAU3lrh/2QNnkfoQvUpatp6uUHWBJ2H1u4Zsq2XfLMKY3oEgKz09u2TOiGA02aDkje4t8jzj4XDG2+9+zHS2QL+rcSeO2guqJkf1PLmcszE9I368YnrgccUpZ0c1ddB8xzUU9SmJEnxfSOq5xDYScoVYnBIdLE9LHk0OyGrJ8X2oXYmzHr86ZP4jx8cfCn63P0G6JdLVpNUxPhGgBT31HlWmaIwidYZEWVIVuBOuktZLgl/x5nWJnTn8zCGXlrAuDGGjIyiLF47V7Jjae5oYWNJl0fOcdifUzQJZn6BqyY8bj19NCPsn3FstiK9vsLPtKbI+lcs4OFWk/hgVEtLYpapPyWxk1EhOzBL/xE2azGUUJwVTk5A5Qd8mPIoQbINeLmiKFXWIjH1CujMg1zWShgUgG8uwrpkMA8F5knmkER5TQ3cCsT8lMwm3bc7hKBJShUkTNk9qnE6YbnQZPF4SXGBMwq6dEYzldEugx5pOIrlyA+7NRywbSe0qKCuUdSyTBEmNWeMiY92wWSh+9to2360aZtQkccJ/+sY2L97a5ObOBn/1Z0uWyx06I00tEoIT6CsjipEmEZF0f8I/fnDEh5MJYmWoFeR9xc1f2aHYuoEYbrF96wpxM2WZe7JFw8qtqJB0Yo7RE6KYUjUdtAQtaubaEus+yqdsZ46pKliJBMuSnrKkQjELXUyTI9E0iSeNhhyDjSlpdCQxEuIOlUixRuCkpvAjOm6ItxLlNFmQNMMJQTp8WLLhtxHSXPiLf1b7M3hKwbMiy3iJMfKp2csLfOqTLJNP/h4/9e2n9vWsTOhlgGe9Qg20AVu4JAkUYh0kRYM0kmxrhwJBPpsyrSyuXFG5hpVzCKuonQNa1kWq9VpG2JoBB9f6zigJSWzlM+cynhbA0ATVeqFY96Rq0Do93wIh7W+f7NEnYMx/QMGQWAOAIDg+HbNYrbMxPyGRexar6OkM9UXgKD75ztO7OfcquQgc1j9aoEi2fwdQa5+bTmowQmCEQCYJ5xI1KSQhRuw6gLbOUdbVOqBTaK3XbIH22GF9bK0U+pyBJEBJRYiRqrEMiozEaJROWDUe6zxNU7WVbWIkTQzdLIMY0ZXCWdt2l1KkIpBryWYnBZkQkFhvydOEJEtJ8qytGiEEy1VNiAEpBZ0spW6a1lxYSrSUaNVWpAxh3ZOxZZEIAaVrZVU6CrSwaNWaEsfGYrXGIBGJRqvWu6eXZ2wNeox6XbZHQ6arFUK0MoWyccxWNXY95p+gFJ8PjDyXI57L2fIsbYsYeIdfg2ifNm7O92+0opMYMi2ZlzW1e+IRF59xHufeV0KAdZ6pL1lUVRucitYQvD2nyKx2JEqRKrXuU4XRGoVnRxq66ypMRhtMp0BKyXRR8s7DA2bLVcsebBq0kJz75pWuBSJDiPjYSiRdaH3uzuXP/pw58uyJ8YkEM8YnFUfX95yUkiRJmK9WKClZVTXLsmqv0TnYdA62n3drfAL2XQAEn3roJ9fkyVT+yVltHeILaHnaDYuy+tR9nk4XF78rrS7GcGbMBePRBkfduKclZs9sYi0xjmvw7ZOgzBMj9ePJlA8eH6A7XWrnn+qLf9/tc5t6P6M9JY0/T5J8SpNrAMusJfNizS7tdQo2+l2GvS67myMa69jsdzk8m1BZR17kXNvaQAs4OzmF2MoutW7Zf3mes3P1Gpt7e3Q3Ntm4fqtlN8dI01RPQNFPsFEvxvEnvvp5cY2LN/4M8wx8CjwtnoBe50+ji9H/5/AYFqpCBoUIBitAioiOAR1rVLQXaxgRFEakKJ8SosJLx/kYJXqk1xjhyYVqJWa086wJihjb9GGIGoFERMmSBi0sRgTk+jgiSIgOgoGQUcuSLAZyH2mEJIpAQ0MSNCpEXLR44QnCEihxIdJIgdWwsddDsEnyaJdyCSu/pFrOuB5nFD5n6T3BQ1doNtF0oiAYw2QwYj4ssLWgUwiKPGeFY+YqZM+ihcAEkJ0UZwRTYVkEjwyeTJZMZRfrDaM6oqPEqcjCSEIdUcFjtEW5DCpFgsRqQRRthTUtNDp6VCVxWVvpKUOAteAUiQQVFXiJ9AUitFW5hLToaNEEYjBo2aBVIKxSnGqIiUW7hkZ3cEqRhaY9ltDoWmBjgpOKJK1xShJEW+EwDY5uLJksI1E6XKF5/MGC+amHaAhaIBQo6ZGqRmSWmINA4YLCe4X0IGNEhYCKFS4aamcofCvxbqRE+1b6HERAmYxENhSixHU1OiSktWFRSsARVKDIJb4j0V3D8EwhtMHnOYlR7XgNkZeynOVGD3ljm5cmDSjNdHtA7ESaSU258mQ7njRIds80PZ8iXKSxEZENkV1IdgI9MUL7DJEnuGxJIxqWIeW5nQ36qaKjSg6KnLE2iKFhaE/RWcQXBdd2h4ROTbmc4Y+6CJ3xQpLjjaYzEnxhOCKaDOcjMwTFSpMIQZ5qSBKczpmlXRpvsCKlGeWkzMBGplWB786RA0u3cbgmYquIDwJfV4QYOVpAtvSYMpLJBl8FogxkK1CmRmQaf2OITxJU3uXKTkavPyJP+qhsyKPDQ05mNZOO5ThUdGeK1X6HqpQIlaBq2Ur/aRBpxDc1NliSrELaBFm37LCQBXzq0SuQmUZ2NHvDDvVyRblYIaRF6bayn/MRpSOpglAJovLQiWSdhD0RGOU1B0PHSeWYNIE8K9upxglk49agjmsru2WemNUEv8FkFVk+XCL3x3R7CcNll4OPx3jbPncH/pC0WJEUB+wFxbYwLBScXNVsaIFeQQiaLM3pdTswq5nUCx6cnPLu0RzXeAoVqWcRISRJYfAHln1b8cPODHPmibFljZszhUwBN8HeHxKCI26ckJWtzLQMjjyswCvqWiFvdRGpJ1bHZGeapIEiNJw4hUPRSafkGxmdXsqH8ykPjmcsFw0pKdhACIoYDZIaJTxazmjmEbeMCF9RNZHSKRZBkMcKrQLxsaFZSrxTqNwQqgbhPGYhqJ1FxkjddLHet76mUeKaFXpuOaxKtAdjI515Q2MMXir6pWNWeFYJJHVBltYUSWClFYWtIFS8haQ+9bizQCaX2GjwQdMNq7VctR1T1kqs1ZAGgqixoWJWJ6jGYhpLXffRvsIsVzQr2D9Y8eHBCS9eTagMzLMOwh8gg0DFHOkiygWMD6jErZUrkagi0kp0naIDaCHRiUHGgMCiXI00jigETVD0Fa33qJUkSVuxMCntuipmRKqynROdQIZIIy1aCgwJMYeQtgQG5dsY3ESF9oEQHEb4tZwv4oVCCoNIINtwqColNoqVg8zWSA9Ctut5AegQiJUipAmi2yNoQxAVWtbc3k64u1tgdMadvS2iHzDcSJlPV7jao7oJvc0UGSNnC0WZHjBJVvR6A7I0p7vZ4c7LVxjs3mh9tvMN6jTFIahqTRkCVrSVcINwICG1XYIOIAIShYgKFTQZCUsJiICOkIpIJqAKOWlIkEGyjAmJdKSyJf7Itsvw3uBkxMuGNCpUaL0EF0G3Ep8YkVEh2gmj9eDC4P+8jc5/AjoJgUtR5zM+t/4ZnwQ1lxlQn1zvn3OkLrwcLkkBgWdmeZ+uhtXu6DyQkpfo/kpJvLME73C2Jut22Lxzl6vPP8/hB+9z/Hif997+EX/wzkfYtZ/Fdq+gMBpY+7IQQSjGqwolJbvDLl2tsM7hm5rKt9nmzW5Ov5MTiRxPZsyqhmbt+xKJKCnoGNV69YRI81Pizr+orWUlBaIUlHXJeDrmzffepy5b6aX7hFSkVVyeX88nAJxcg0jnAKgQEbXO7j+hmJ1ns+E8ys0ShUASo6D2belQESPb/QKjDVIbXF0z6HW4trPFL9y5RibA1zW226eJUFpPFG2dwCZGQhQs5nOOHj9GpSlpUdAbjpBVha1rFosli6ZBCEGWGqJvg+MQA1FIKus4m63w0Jr6ioBQEiNofTR8O56M1uR5hhISZQwbqWaz2+XF27dYLM44m8348cMD9mczFo2jcpYQjtb9KEiTpJX08eTeOBRzyrrBOkezBlW56K9Pa0ef6zpL2YJ6VzeGbG9tofOC33nrXe4/PuRkMkUqxYdHY2I8vbjQTwLhz3GA9RzhY6Cb5Qy7XV57+XnuHxzw0cP9zzQNPy/dfjpb0tva4MbmJv0s5f54wsfHE5TSTw7y2afQMpIuH2vNCoohMpuvnrmPHz084vfffA8ApQ1p/phqufhMZspT30EIuDT+nzrb8Ew0an3iTyqjfloLIVBVFVX1bE13XIMIzz5BeXEtz1me5/595/N2vDSBCcGTeZwnEvDzIyghfoIZ037ufO4H79pSshYoq/rZ5/aZLRLCM+RqUqJEC9gmUvL48IAHjx8zPj1hVdfknQ7lZPqZIM7/L9vl8/i3Aag+z3eICFyASVlRu5a6bYzhbFUiz6YsrCdNEzp5QUgMVZQsrGcxW7BcLAnecXw6YV7VCCHZ3tljtLvHxs4ur3zlq2iTEBFUVUVTNxfX5oLdeiHbu/jSF4Mj8AnQ6jxh8WnJsPYLf3qi7BN90cpV+cnFyMUv/+5P5ehzUj0lyx7gREruhhS2z1I8QtMg5YKPdMSHFFxCKlI2tGNLlDwSK1SoSULD42zMFANCkfsSFxtmoqLTS/FR0ODomft4mVKLIYkriTTUscFKgY8Z0XfAPMTGDOc22cKjRc1El1g1oyGhDCP68SrSGc7KgCoiqCWLWPJioylV5D21xBeHFC9KBi//Oi8/2uL+yT2+ef/v8p1//iHNtKHu1PxlXmZPj1CPK6rVPiExNJ27/OHvT5G24dd2Kl6/dp1TWfP/8T/Cq02yNOPm65FfvLpJWmX84E8k3+r+gPlqRnMiCBFyI/jiRhs0LJ1i1WjqmOGtYvo4BRpUBmNSmo0cJQ3XH0oO+wnLBLJZXFs/GHpyjwFjvJxwmKaYpqHjJLP6LsaMEWrJ42RO2tQMneC0vs3W0Yo+FR7LeGPFotOwOspwG3Nib8LcCuZqAx26XH3/IyZsMRM9mt7DlgHrFfX7d7DhFM8YU4Kdeg4Pl/x3//otltUCxDZsabRcYbIDjgYVsRAkiaBJjxH+yTgunKNnLcv1iPVATwi01YSZZuZXNN1IOVJk6hr5Ysmus2xvDOmkBQM6/P5bCZkfcz3d56u3E7rbG6RXrlAWK3pZh6t729ze7hO9Z1lVJNsKm+SUqo+5cpWQ5NQbO5TXK5qDkuobcwY7Z5hBhtnZxZ8s8WcW+6jG3p0i+gHd2yMcGmIlwUqivMHMOO4VFcnxingSWY4l2RsZ24WmN2/44c0pTajYVob0YEBRJrxxs8df/hp0VEp3tEeoT6jmJUcfVXx40PAo1vzg6mOOPzhFrRpeKiRXzhR508XqF6jThmnnjG933+Sld3vkY8GH7rvYH6XYVFL1KtJlgrLteqI2FQ6B+J4lTUoSWdGrKs5ih0om5PlPPrOyruTLfz3nF5Yb5HHIv0zO+N53Dnnw3hEbL57xu2+dYmefmG9mmqyBHM/DFw3dQ0t/Ykl2YLGE1dp6L7oIZaD7EK7e7nPz+W1+69eu8Z3f+5g//t2POO09oJMVjEzO4bjCDRqqkcX8MCA7fWI64Mf/+Lv0b1zjyy89x2/9Fc0P7t/jO++9T38kEGNBPBR8cHgLlVryfEEcR2wasUWEs0jazOnZU5Z5zvQk5XhfkmVw7qYw3f8IKy21rnl39B7ZskvnaIPJ3rvkjWN7DKdZhomGUfM2x1mFXa/7i+0KUweyg3Yb9wmLhnwm2ao6BBEZpyVb/hi98IS34Sw9o0qhFiBGDZQJ7G9BViKlJ88dHE/We2qr6QUd2N+BcFSS1IJuVfHd0/u4iYIHAIJEp1QbAQ77SKfIsglmVhLwfNCH3hJyK0hOIzGJRCmoqoRq06KNZHN/D5HMkbIkP17gYkRquLqleGCglJqX4xYH0ylnS0vTXKfe2ofBGSJtCBGaRoDLELEF03tyC++X+LqmqnqoMlCJFd/Nj0hsjvY5ZTmjsRnOJYg80DQK6wXVVTBV+w9A64BOaqrd++izSPIAEHu0aFgkTacI3aC0Z6d+iXfeOePbD3+b//1/+TJn17pUX3uO+ffvIecN5WpG4lOCd5zFpl2zrp/DdbemajSTGBnUFc0o4+iqRj+YEdeAZmpTlHXoekXncUUlNaekXLvRUNeC46MMu1ih1uvlZJrgU8/J1YbFOCFUKU1MSKRE1QF/VnOURoyrGX54TBkjCXBbHfBxJ1CFBD4c0hRdFv2GA3NIcuAoziLT2EAWMQQ2m4Z9tiDCBg/pvLuJHW3wj5/L2HGRLWs5SBImLuV4ZSgOVmTZFmpgqPc0bvKAerFk1VjKiULUksVHXWKp6fRSrv/8XXaf/xK729f4hc0rOF1SR9if7yKrFVE6Tpsco2qULlnGQOV7ZD7npdDnoDmjouYLbOMUNAom4TZG3qcnD+iygXEpyqUUsUBHAUEQzq7T6Z6QFlOWyYxVDAQp2PIHaAQZkmt+i2WoWdLQdGElGuY4NlxKFiU6Bk6kohJdKoqfuk76MzGlWgnE5QXjpy/Unsp2ik9f0D2zUtZF0vPp93/aAvxCuvWM985PJYRLi3qgKWuctDil6GzvkQ422Lx+k/17HzM5PuLgwX2stUQl2O0PSbRGK4FRknunEyZlzYOTKXIt4xlkKbtGk2pNN0txQrCyDrs+rlISRGzZK7JlgzjfsiK0flJNxnlPq8D6DwOiioBznqYqCeWKn7t+hWXdsKgbFmVJlqbkaYoKlm6W0CtSkrSVR5Z1C+4463CNa/2PEkOeJnghsdZRW4sPvvUEk5K8O2gXXSHSS1oWSJJlnC6XnI6nHB6e8voLd8jSBJCUqxV5ljIY9Hn3eMxsseTobMbCR2x4YlTdgpktwBGcw9YNQkqkUqjEEKzDe7/2WmmDKSXl+jo9GbUhRBrnL2Kmc1+tGFuA4DwQk1JycDaDtazGKEmeJLxzMqGsS6q6YbJYUrkWuAyXO1y0bK4L4/JLFLPze1CuEfyLgz+riacr+D11J12K+XyIHE5mLN95n1RrZquS2lrUunyzkPLis08f7Qkw9awxHYkoJfjC1Wvc3N1ld3ODe6djVqsaa/1PBNSftp/GOR6OJ8zKilfvXOOm1hRJyvsHp7gY16y6+BP7eZYB8gVrIq5BQNP6cxkh6GUGoySJUmz2OmRJQpqm1PMpwTmC99R5hwZJLQ11CKzqhsl8Qb2+kJLWwiQAdYwQWyqbUvKpDhx2C4Z5wu1BwYdnCyoXyYwh2BopBFmesWwcUgpGRY5XugVEm4bsfK5ZVziNUeBpZacIQSCSpglaKxIiy/kC27QSi6LIMcZgjOb9/UNO5gsqD4nRSCHainneXxjgy0tz6/kzQlxmscLaRQYcLRPKaH1RUfCcoXjO1tFKriV+ASlke/2EQNLOEYlRNE2D0ZpEG7I8I6zv59VqRZ5m5HlGqjXpWsba+Na0vbY1h5N5m90SgkxKplXDpGpY2YYm+IsiDn8R2p/JK+kT7Vy+91PZVus5UAiBkQm9rJWwrpqGe4+PeHR00lZOTMzaiF+yKKu17Lit0tcynxo2rlxjtLvHF974ClIblDaApKktIQaC94jYyvVDjBfAcrzIc0UulhxPsYw//fvFS9u0IqbPzvA89db55PcUkPrnnCHSU7wIhJhRiQonlzRa4WKfqsqRVc7GYEojl9RiwY4d0FBwL/ZovCMjQ0dBFAobA/PgIeRkMmUoJdMokFhSUXESe2S2YOBGnGmJlRGPQjUlUUq8MojZNQyarjYkPsPqkrEK9EKfiKGUGVHskwnoKoOTCi9rUHOm4iFKdLketpjWm1jrQSj2ig7F1etkO3+NdBgpDx7y4IN/DaeP8abgyo0tzOIVRKa4csMjRODxSc3XH03p+SlZx/Czz91m1E/pGs22V/TmNUd+zps7Ewbjim6dcyK22RQNSZC8P79G0xwR0prei138Rymu8Zi7ls4jDUs4yGtCbfFKcnhd05k7uhPFid3Cj5cEHLNoEaMARpKOO6Q+gGqYDh7RN5YCz/IkUHqDlRp2T1itAq5uq4L6SpBYTVLVpNNAqCSzchNtAkqeMU0SHBUGT/OwQGmPkgH0CTPrWfouuRzhJo5i/x7/m1e2WMUhK2FpFhWydxXVz+iXp+hORPcE8rUOVgastKgQEa5BOEtoElSjUY3G7HjcTFGfauymIxhP0JHeZgcTI8bdQdc5uptjhgXPf3HBcq6pppYXe7dIdwZwY0CTnJGInLSzxePjFfvLKW/NHnP8p0usF3ihcemS4DrEag/ZOyU2lnBmSa6WmFhQzMcswjGyqcjnNfW7FpcKbJ6Qzh0hCBqdUDcSi6LUhm6co72HBsLpY7SAvKy515vio2c8c7yTzNBCkv/IUochuVa8OHyXD3XGsvbIB8ec1AUrKajmS+RSEmzK+3PN0takLJnJe4Q64K2jN685biRoRaNS8kEgSyUV1+gkEwye08UOMk5IhMdSYF1CkDkiGZP2C7JEI2ZTyqw1o98bC6o+2ETw/X+VcC+8T8ZDTqRjOVuQqorRgWJiIzYKtN0kjROMWGD6gnkG0xjJHwSiU5Q6oXtiya0nEpjdEBSrwGCh+au//BzbVzcZ7PY5OFlyOGuYuEhcDCgbIGnapM+ki51nDNQhq8qyOJ5jQ+T7p2fcf+cDfuvOHV65MmLoXuSf/egEi0ZvJvROj7GpYzUMyGOJsiAXAlWd0Ol4elcl5RhQJWyUMAdvPC5vk6QbGm6mhs7dTQYiYac0CPk8mdL0tGFZRggNOqxoTrZpJJTdQJQlh2PH9/EEVuuKgZokcUjZztczU5Pmgb0ty+mpxzcCYw13du6yNzC8tDfnO4seTihuveY5Kx+giVxPe8yqDjEYemiSJCHoyCxdoQqN9lAcBWprCEqhNyWiCOAl8VEXXhwis0iR38ftN1jrWO5GurJLiiGPlh8fPODB6Zw371nudgVdE3l4eIy2lkDLsi9zCFpyctLBJ+0csWgOKK3CBoUxB/QWJUkpGKcG53oEWeDuSDZPPb2JQ3BKZ6BIBgYfHd1TKJYSvekxViFCysEtzyaGHgUPixVXY589+pgeSKfAKcZuSVFrCp+gXx6Q1hVJWVOREEKFsyVv/yChlqfE5IQ3ihPeqRxvWVg+SkhPJlz/+IRw5Ag6QrfmFPCrgmC32LCeWlkWuiJZJuAU0jp8khItcLggXVWkRSQdCU5P2763WcZYCKw31C7j5BicCjTdiJhdQUSHkEtG1mIDTEgQXiClI0mWyJlCoACB6O0gmgDzBW5Q4QS4OkH6SBolpBW2UCjn6P3Ic3BljN2QpA9gw9dIAmdJQrcZIwisYmRXH6KNRyQvk3RTqmioU8Hvv/sO3/nwI5QRKKUocsXzN1PePhkzmTfIiUEhEUHgVpHbX3uFL7+4y+ilWyi5hZQ5D3TDwIOJkWH3gLnQNAiEarCxIcaAXu2BPsGpCQ9CyUJIPAmPcERxhhMVJ3JAIzxeGCpSVJOjmhydCVJzikzm1MrQk5BhCL4mA5SINEZTy4qAJ6s1M1Uylw3ibJMsKcnSEqEDPduh6xKOrMQmDUE1z1odPVkmfd711Dkg9cwF7WWQiUtructJzWcElZfDwWc4B32+9lOywJdA2Yvje+cIUhJCJMsykrygPxwihKAoCoK1LE6PW3uXGFvTX9WCR0YrhBDM1xn83Cj6iaafpXTShF6asgrndXvExTpbrIGVNkh8mjmgpFwvzFsDax/4810Y/zm3ywBfiK3nDc6x2+2wyjIW1jJLDWmSkCYJvl7RzRL6eUaW51SNJVn7OjV1Q01bGaxIE4osw0aopFxTBlt5UVuNLCXSyiczLVqz5Swld47EmNb3Sel15ZOIkBIXI8u64cHxmNPZgsdnUxaVXXtIhQtw4tw/R66D38uYTwjhKc+aP3O7FKD/BPOw7VCUqjhbVTSuNRl2l9hOF3JEztmH4WJcPdmICymXXBuni08c+9IR1x8RT213eV/nP9rYMLKqalaXWCtKqZ8EdfjEPPAZ7Xy7FpDT3NzaYGfYp5OlTOYLVlXVSvfkZ9/fxBa0W9Q1pbXcaSxGabb6XR6Np1TW4Z750XPgWjwNSH0CME8TTT/P2ez36KpAIgWJVtze2qRX5PQ6GfWi13o/+cCytlQBligwCcu65uh0wtR6nPOEpkF6S+U849qRpCkhRlZ13XqVCUGqFddGPfZ6HV7eGWKSM2yAUbdLs5q3ks3BgLkNKKXZHQ6Y+8iyaTg5m5BLSKQg1xItZCtFzTLQBh8ji+WSYTenSDQDLVhMZzS1BSHoDYekeYFOk9Y0/eCY/cmcYVFgtGJWVpTWY9dS0ca1Mku1ltQqAb3UkGcZxiREKUnXzL5F3aB0y75aljVCtnPkalWSJ4YiTRgM+kTfgrjSWZTWSK3xQuGcxVrLMkbSJCFLE3rdDiEEvHcI7+gUKd1OQZEkdBJFkSiUTvFrXyrJQ6rGYZ1HhnAxdu3aZ+vy/Pbvnyf1KWPyz9I+1w3ZbqCVopfnuLqiahqWdcN8uUJKQb9TtD5q3lHVDbX1WN/2J2sAP8s7bF29ztWbt7h66w7WtdUXbdPgvSP48IRZtz7sk3lDXABC7dwWP3l67XuXWLOfdzZ+Vt/FSHvfX77Qa+D/qeP+O7Qgm7a6VNS4AJFAkJbEdfHBYAN0iQQ8TnqMWNHElCYafNR4JB6DxK3lKR4hXJvkEi1tXwsBSBrfIfUZidNYLdt5TyhUyAhInNLIpgdCYHQgEGlQlCjyqAjCQEgJYkaUESE9wWXr8Sdx0iGwaCzRS5yXNGhS5ekkGVeTFxkaQbVZkPr3WDBFhIZG15BuELWg8XM2+o6y9BwvK46bhqHP+Zn6CncywyhRDJYK65dMnAexIPOe4BOk6DIUE7SM3EdiY7s2MH2J7HiUdKRaoMW6npqIxGiJAsrE0w2QWEUMOdG6NYgZiDKCXicipEBIyNQSo9oQhsQjXApCg/ZYFYjqPGMjkFa2Jv4epAVZGqStkLqmUQrwyOiJjUY4iZIRka3wMaVxOZDhK4dZznlxp09lUkodqB9J4mafOOojPm4r+RnjoJPRFNDkgaxU1KGmDBWxFuRzRTGT1IME4Q1ynrDqNTjt8MLT7UbQCk+KfpAhMLgE+iMLomVOLMmonW7laN5BsJyFmtXRlAeLM96cn7K/P8cGT9SRpmiQVYE5q4jFKUJ5lAQvA8aW5BOwyRgTKnpNxXQaaaSkTlKKZWjXaZ2URaPwThNtSmpWSOmQMsAMjPcM65rTPUGIknDomA2OQQR6c1j5SG4kLGf8MB+wbCKDkzFzafFKkbi2qpYPglUtSBOFljAJFSI6pA2klWaZSLwWkEooPMJE5CpBygShHD6kaJchhUXjiFEQosYqRZpolGl9EoNUBCVIlKMx4KXg7H7gJLbuyTJKUmPJlCcuCqJoqz6KqNo1mYxoATFp7/FkXxOMImiJq1rvSKkCPoV+1Nw0Ga/c2KEocmIDPzqYcTy3rLRGeIO3jopAFBAbCVZDVyCDQ68iTRI5tBUH4wk/O1vQMxnX97bpvVNyFiQLmdCVY5SwSBGAFBGAGJDetsuntC3EEIVvTflN2sqzhCQ3ir1+xqs7Xbo7ffpasY2gLzbJspSin2IbCLEmiAXiQYYNsCwCTjkeTAKrzGHDMVVtmc0hVTUxOprGofIuyjQoVVJ3DDJVbNiU57Y2eG4j4+eudgnTAT6VvHyn5nC6REfHnWKLMz8gxpwBXZSJ2NBwsjhFjyIKge5rQqlQWtO7kUJfECtBVack1wckfShyRzOwOBupbiryfIjRKSZGkrcc3Y8lZ4ee5wcpvSxiTy3WSzwgc8HDWLLwETc35BGMhM0Uur0uLslJi8iAHB0Dj6Kkqfo4MurNih2v6EVPWc3Q2yl6u6CbFnRHHfJFQzpy6DAkioLN247uMictDatMcC3LuJ32SVEooSBK7lcwWGmGTYYebJGrijxWCK2JolVihNPISV0x82NEtoQooFFMbUK9XJKcVhQl2DzisoiPBqk1MTEIKxE6EhOFbATCCgiRICWRQHQNIgYkoDXEaFrvXOWposRFg5cJ1dIRUovrWDKnLwo5iaCQdu3zG/V6DRAgtGsMARhSDAHJClRbTbXBkHjXFvDUDikqEg/Sd3CjiCOsFQKeACzR9FWJCIE6SkLWkBWW24WiHqSckeJs4NF0Si4UO4MuhIitBDO94nA+4WTl0cddTO5RiSCOEn7m9g1uv3AXfXMEixzXCI7CGR1nSKIg0zU1ghAVQrt1les2VlbaIUTFUi4J5EgkJSVOVDjZ4KTDovAk6+R7+80ToXBqhZZzkAXCpxA1xNZrWBOppcYLjY+RKbBEUqJInCJXhiQ4ltRoFHko1mupBuSfo9H5Z7IsLrXzNZwU4tKa7tOXjZ+2QPwJSv1nbPvT9vVp23yazK/VxnvK1ZJzI/TtG7fZu3mbL7z2Jd78+h9wuv+QH97fR6cpHlhYR5FoYoxorYgImgD3pwu2R316vYKr/R5SG8armv35inlZU1nbsgwu9YogImm9ALRqAaw2eA5rqcx5H/7FbE+kmOfgm2AVwayD963NIfNVzXRZ8v7RGda1VQuFalk15+bkzrXBoTqXMQmB9e6iclsIlzLX8v7FmAxrVOaJF0i72ft/9K2feu56DaioSwyfEM8z9HFdAe/J9lIIpBJPEvdraeGTYRVpeSDr3z8BBF1mKjyT+RPj2tOINbuuLSl8ITG51JRub+ELz6F2x0+N9afH/LNYSpdisWcAZ5FWPvPU8dXTxnVPffbz3pMInLPs9Pvc2Bry6s2r/OjeI37/W9/j4XR2IUuTUX72PsW5b1bLtvk3b77Dje1N7l7Z5fntAYezJQ8nC4RS65H6+dv5dRt1unz5iy/xV7/2y4w/fofQVCjgtRvX2erlbPdTev0eeb9PsbnL/YePWM6WrCZLXvniiwglGM/mfDxecjKesv/gIePHj3g0nvCth6fcfe4Op4sVf/DdN0m1ZJSnvLDR5ZdevsvuxgZbG5v8SrVkI8947c51TsfHOCHJd64Rsh6m02W4t8d33/2I9x885Ovf+i7G1qQispEZBplh1O/yhZeeo+wMOVtWfO8b3+T5Qc7VbsJrWzkyAiqh6e+QXr2J6g+xWZcv/dE3+OEP3+Yf/et/w/M3rtDvFhydTRmXDZUPFHnCj+494mQ2Z5inmBgYJpq/8oWbvPbKy1y9eg2fd9B5ThSCex99jLeW+WLJ3//Db5MVGUYrTvYPeeHqNnev7fCzP/+zZCZDB+DjtykGQ5LegMMk559//Zv84XffxPtAvS5OkIZIQkTLFlRurGe+LPG2ISElzXLeeP4aGxsbFN0u3/jjb/LWgyN++OiUR7Npa/6PQASBRKKl5tIk/BemfR728Kd+TvJER/kT+1wnbhB084zX797g4cEBJ5MZjycOpSS7oyF/9Re+ykaRYW3Dmx/c42QyY1W30nRT5HSGI55/42fYuXGLrNNluVq1yZ8Lb7d4AUi1/3jyerx4KP/kibUbPXn9GXjRT4Bbl/rsp3fQJ/7+c7zsNmSo2JaBlwzxQhKl4HrTodZLFoNTxmgCfaIYcZg8oO8qbjvPQyHwQrJCkscE4TU0Gtd/DystcwTIa7hQsPQjBvNIqmp8PqPRCzKxYoMlRj5PGQumdUriBD71lJnlUE7xeGKUjM0C5ST9sk8n1SjhET6glgO8CojukI7rUMqSj5MHdHGEkHLgR3geI3xGWt7CF0t6d17kK9dfYvLNf87hvQ/4Zz9+j43sQ2ZN5BvfsPzmF66SW9ira46ShFlj+OE3S14YDujvpmSZp9fvksxr/rP3An8wf8zYe15SDbtJSUxXzIeHDI8lTsCPZjOSHeiUis0fdLmfz1lmjrzJsbuWaCLJw4QZgElIakHTl0gtGR6DG0MtHUeDY1KbkLmMW6eRsREcZJH6+YbdM0k+13z0aAPMBPSlhbYQNFlG07eE3JPaSRukXR5iKiKvzGGuodQkVxq6JwMSO+QDf4RlB6W61MUKuW3obmoGecbKeKZixm9/vyEUJ6jBCfOPK/zdPvHFETsfXWMsAodmwcx9xOjEs3UID9OUYeiz4wZU8RGnnZqDgUOkCUILkBDe60NawWhOLCOFh76HpR8T1qWHemVJGQyTWFAUFiGf3Byh2xpsJw8SBpVlVzzknSIQC+gUkvEHI8rcs3jhY54zA3JStGt4NAuUPgIVMl6lSHK2rxjIGsqlo/6opq5zlHBk2fLilrQAPYOLBSeHu3Qn94h6xVEXri/H5Fpz1C1w6QQjHT0p8Kmjlq2PZq3boIwEFle2kXSo30lJklOi8JzJPXAaoWu48iGnKUjrSfcPmaSbOHKINdZmyKgY8DE2SfFrm4D5uK1Cm4kct+yBUkw29plLqC1keQ1RIKIgLRNya5HO8T5DtPEY3WCTA5aFwJuCbBaQhSXtRGaPr2BYYVhxkCRtn0gI05KXX9rk1+9eYYsN7n//A95/8wN+tyo563VZ7m6QTxcX83+ZQBqmZO6EB9cF/TFsHnvu3wRRCsw88P/8h+/wxs/f5uf/0vP8r+2EP3lnyb94e0bducqomXJj/4THAirtaHQDcki5jCwfOm41XVyomE8rjm/WJKuC0f6QN66OePXuLX75f/o64ocf4oKjyRUv3tqgP9D0RhJe2oKsC3EAk0OYWDgAXt+DQhPx8P0HnD485Z13D3BnNdOzOffvP2bjtV/j4+NT/s4/+gfwxg63+xn/NXDzTo+tUZ/r2wVfUho9MuSvdGD5PEQF+Tbc7EMxAvUy/v4fM354j29+w6FmVasCuNOnEyPDIuGLz29DscF8afnT6ofc3kkYdTK65jm4EaBj4Is70O9C2gX2uP271zn87od88aN9Bi8bzK7iK9cFblWD9uSvJvy33/whb947ZrMIXB0FrvYNv3bzZd54/jbX97ahv0W5oVklgXvvH+OPK8rxgh9+8CZx6wZBjZiXhqt7Xa7tDPlLt7+KGXhkWsO7hzDICL2M0zrl67/3Ht9+7yP2fIDnNSejjOzBgkFhyHLNZF6iq0hu5xz8sGJvJOltarb3blFc2STZ7tHdfpc/eWfGH72T8t+WK5CKRCreutWhil1m+5uw+jq1DUznCbG+gu7NyK484OGDTWJHI6/0SO/PsLa9tzMgdD1u0yEeJFROcLYvqOttpKxJzBhZ5chcw4YhORziqgWoBVfjQ5zQnJDwKG4hhSNhTtNsrgkFK8TOGSoE0nHK4NGSJDg0S9xZJJKyomCDMVpH6jSlfzaDUZ/pl96g+cEEO6mxTc3+dk2MHo4Tqn6FlIK8ybh/ZZvnrg75WzeW3FdD3nuo+NOvT1F7gVu3R/wf/vqvIpeeetHw4OEZefKQifEsqlvcfGNJ967C/txNrievkOg++4tTri4DHSdY6mN02EH4LsYPGQhLX3hSUWAIWFnx4+JdBrGgCH1WiSdvKhJf4c2EI3Ypww7XveJMJCxFSeCYujjEdcCHTZpQo0PKjtgmisg8epQc4URJg8XZLqPQIwc+yGoSn5P6HvQmaJ2SyD4n4SEu5Cgie5lnYqZMP4dVzOdnSv0ZFsDnhl/rP9rP83SW91mB+Sdf+4lKO5/Y/rJp6ycNXD9t209r59Krc1gleE+5XCKlRCnF3Te+wt7tuxw/+JjH9++xmM8QZc3StZKiQkm6eYaPkfFiycenMw5mK34gD8l0QogRZ9sMghQC6z0mSxjmGbc3h7gAtfOcLOakRreSICk5W5XMqprH0woh/mJ4mnxaO+9zJVsj7slywaP9w3WWpw0wnG+Nrxd1fYkhd+n7rOOOi2pLl67nhWT0fFPRlhW/9NGnACloYSGxlt48xeIRbaAS1pXP/CW/n8uA1rPaJ7c5h+OeHPwTnIrLkpvL+1kHWucSuyebx4t7pQV1W18trc6lV0/81gJtafcYIwaQuqWjOucIXIo9n+jmPvW7fOq5CS6qUV0EiUKQGsPPPn+VrgLvLX/w0QH+czLHPm2bVpYluLG7xS+98gJffv4Wsaz4wtUtdjoZ/SLlwdmMj07PeOveYwJceMR92r6NUigt0Crh2u4utmm49/iQX/7Cc7wUPItVye/98D1Wrq3UeV6X76ed53m/nC6WfO/dDzieLyiEZ2844MXre/w/fuePKesatOTGsMPO1gY3b9zkbL5kMplxsH/Af/rRe2wNu6S9Lrt3XiIvCkoUD8+mjLYS/ss7d3n+lVe4d3JGuVjx4/sPGa8q3hOCbH9Mb7yC+ICrmWK7SDg7OyHPE9I8pyMTdu5ssGgc/8Pv/SFHH7zHcjFnxwj+h/cecDJdkKhzlqFh7wfvsrd7hRjh3ffeZzbQjHsp+uqQmPdJekP2tnJqlTGbVfzhv/gDrmaGl65s8suvv8i3P3rE/scP8SGQp1nLVPKBwhh6SdpKVyXUIfDwbMLe2Rn9fo+9vV0QElfX9ObHjPpD4vaA72+PeOfxCfuTGWVZM7WOj8czytrxxs4Gzw26DLCk0mESuPLCHYRJuXHrDn/yjW+wWCxwTcPdXtIyXJXm797/05bBJWTrGaUlmVb84OEpRZ6TmoSHB4dMlxXT8sm8FGmBaSkEidFPP8/+A24C1mD/Z1TfixGpJI333Ds64eB0wny5ghgxKsGYBGVSDqczGh/oXLnOzqs7SJOyWpWYIsdkOd3RJkIp6qpae0+27Xy+uujrSz+fVQijPe9L7EWebBYvv79OMD2ZlZ9+jnyW/PfT1hz/Lt5dn9ZyUWFFRkOCYkEWUhKbUJtjHA2KBqkUaUhImpQ69pCkGOlQ6oxByNhwPU6ip3EC6xIacmLQyBCQYoWUM5SqscVNrKxZJhOCTPAMqGOflYm4uCKGBSeDhkwahqJg4ROkcBhpmTHEyoxgarQaQ3RYCaazwKAZhYSxqrHCU5DiY0oUmqABOUAQqcQjZKOIMjJNLLz+Jbq373DnxbuYb8wwj6bcWH7MvbdndKLkpt7m7o1AJT0PDx/zT99KKN5W7PjHVBsCHzQsOpzKhKWpCfYx29d67I2GvJqOEC8nrPBsHR1xJSvodTWmAx+PH3GwWvLjBfSPDUIGznSF8QmCiCUSFhqkoCShJKGhIbUThiYjMYb9SlC4FRtVw+TEM6dinjmSOiKEvbi+NrUIFdibCqqJx84i/cYyiV0WZCTJDJ91iGnCTnjMquOp8og8MczrEp04btKgbMKD4x6/c/8tvAlII+hPalZGM1eag+igahC+wepIPFlBbambE5baMTcOH7pMraFWGtlEZlEyDxWaPlUJwkWuqVPswLPcFNi0wicWpyFxCVmTUdgOKzPHhwTvungiuVTcwmD2HrGoFCfHXYxZEJeScC+nSZfMRCRgSGY1cSWpc4ORNdFFxL7hwGnSaOnFgBSmrRgJNNkZTkxYnQqIBukgFQEr8vXtHmlUg5UgYkJ+4EniiiY9IURBFBmZg6WGCglnnigVETgaWfxmHx0lW/dOEYMcqwXH4wZx3ACeJJFcyQZkCOb1PjNtqFWkKQNmahBWUOkS7SakcUVMPB3nkNExKyAkFiEDpjStNj0ACQit8EozaSKuLuiZgv/ia1dJvKRcBP7+Hx+zCAanIp2rSzoVmFozdo7oLSFG6rqHmUjUytKNJ3S1J8sjR2kPs6joNJa/cu0qX3vueb7ywi1OjiquvXiF0bDDl0zGYS55qBz/9L//JlUAbwxyNKCZl0zDCv/QEBuLiJa94z3KLYG9A7/x3F0qN+fb3/8e/8ubN/mNnSEvvVbz3/3r+6wWDY9sQSZABI2IAhJHNJ4qdzwcZ4Qs4HrgTwc4L1gkS74zDpx+WDP/9gnXjw2DTp9Rvsf/+e9+k2nZgNB86Q5cu7bBnZfvwAoW4xUH9094+b2rDHs5/V5K7+UXSfqb9LKC47c/ZLgpeekrOxRfeonnjs8g+RL/4AeHjFdjfvuK59fnt9mxcx7M36GrN8kPMobHmu5WRtbNGW4YiNdYLCPvv/Pb8N47uPmcNJf8oz9+yMPjJSI1FE1DkcPuSzlffeENDF3+5K2arw4ecKsfee5Gn3nXgOxytbyG6GyxOo28+9v/nN1rcO31EccP5/yL0w9496M55f42u6/32b6S8upixSgJ3OhC8qAiTXrorOA0LdmvZqh5wdU7d8mERS5Ktg4mZIMCPxwynm3wjR/t8/bD95ipCTcPetzammPOSl68ucO17QEUBoYCuSEZbL/E6/0Bm69d4e13ezQ2EMuGPdkh7+S4ruLbv/+ATr1gFCqs1DiTENKEG7ceEsIO1m6ymv2Qk9WK4yogvYFGIHwk/84pxUDS/XnLwT8d4mpH42Evgqsl1dSwFedUCJbhghJAjJasqbF1wNo2aRW8wlpNXAP8UUSaa3OiV6QLQx4stbaQwEHMiT7D0iXdTYhmhZUN8dRhakfRTFicbGByz2Bngq8doYwkM4HXBqeBbIqfebxOmfU3UadLjAU1/5jkRh8GgnhvRl46TAhkcsVREmhUpIwVt/uWgYTjt7p8fSH5eOpI0wo9vI7q7yCjpq6n1Nqjf2aLm/oK10OKn4+wG4rQlyQbKaVLaUKku7rCQs6YJQ2l26Pnu2ifYoTgkbbMRU1OSZQLnPBId5upXLISnsFqB+QZVtRU5V2MXqHVKSr0MLTG78iEGIcokbDJHCe6BBJqv0CFghgzbJjiVUmQFbWJJH6ADAV7VCzUkqXyZGKBjH2S0KUnBixtzselYppEugzYi+anrpM+P1PqU9rThqNiTcF/dkD3rNee9d6zpAqfBBmetc9nl5H/yeOeS/vOAQFrLUJKjJT0trbJez2kVtRNg04zlJlSOQfBkwbPIE8JEUprmVUNZ6sK6x1dY8iMpp+mjPKMJvHMansB4vTSFI+gtI5pVV7IA3OlKbWiVuovjHTk09rlayTXMsjaNhxOZ4QQPgHeQDyXiJ13NvEijrgAFs+DGHE5GPx0tt1TL58DOZ+8vhdMrvNfW0aNEa2nl1pLToRsGVAheJxzKKnIErP+jqwr3UlCCNTWYX1LN0+NRokWZJMCWF8z5+PaAL2VAtXOt6b2F19jzZO7xHBCtMBKP09JlCKGwKKqSIxBS9nmLGPEhcCyquh1O6Rak0sItCBgmiTUPrSVOlgnaiPE0PrsWGufsKk49xZqNwwx0PiWdaK1vACcjBJ0i4LNfpcvv3gHWS2Zz+fIjw64bCF93r+Xx8dntURrijThpds3een2DV64fpXHDx9RVhnOOm5vDfHAtKrb3Yb4BGT7lCYQ9IuczX6HL9y9zfHpmMcHh7x49w7d1BBsw0eHp+xP54zL+pNJ7M8EpADKxnJwesbpbM5Wv4eLkt3tbd4/OGG8WFIGwb1CsTsaczgpUUnC6dmUdz74mA2/ZHfUZ7i1yRf725RoTpYlDYqNouDVK5tc2eyjJbx+6xrjyRnzsiJJM4Qy6wobDR8t5hypyPjsjI3NEZ1OQW/ewGgXi2L/4SPi+JjUW/obm6gYWVY1x7b1akqUZLJYIoXBKMXBeEK+jCxzRWgqQrciGzheGJxRqA6z2vKD7/+A9PY1hkVKr0ipnWW8WBJCJNGGRAp6xjDKEkJjOatWuCAofWB/uuSjo1NEkpJtbVMohXKWnohsd3NMp8erL9zlrHYcz1eUwhJ8xDaW8mxMyCUmhaLfIev3STc2GOzt8qIuSDp95vc/ZDFN8FXFre0BeX+ANxmbgz7H0zmz1eopZuP+ZEGiFFopFlW9ZmK2Pl4tVtwC1kqrpxiUf9Havw1b6rOq713ek/Oe8XzBbFVS1s0FSzOEwGy5ZDZfErVmePMmOzfvkhQFy8UClWZIpUBKmromOHfxTL04Tow/8fez3nvGrP/U+5+c53/i90sP0Mt99qR6X7vR5aTHZT+pPy9wSgVwMhJFRNBWvEmCIKg28GwZKQ0qahIv8LGLkBovWu+lhEg3wll0SCxSJCQxQ0eF8o4oHULWSLmCZE3RV5YsdFopDZFGRUJsKws1aYUm0tqV+tYkNySYkOBRBOVweILwlBJ60iFigokJUxFwMqJpAwUvBFZZJDkST9qayOCEZykq0q1tzHDIxjAjPhgT3TFXXcncT1FOshO26G2vWJmKuWt49/EKW0WuiFMqF0mSnFv5kGHeJfeasKgIqYI0YafXYbXdhRC4tj9l0+bkiUJsWjZcRhk9obToSiKDROaeGFp+ekhqhHWoJhJFwEqNFYLEa3TSFkFYSkUOmBDJrGEhJQ2QqXLNxoOYaELiENJjoiJ4EAGkB5DEc09JKUFqUiuxJtCogC8NLjYo3XBd5eiYsFgp3jo9w7pWxjVc1lSZokwlok3NEIME48B6OIs4M8c5AY0mmgE+aBphSGNoq5XGhlSm+CBRtSATApFB5cCJVrosQ1tdWpAQfUHUSxCCqCReS4iSNAqUgY5TQEFeOKLSWDrIbVA+YhaGwVy3bPgsI5r13KOhrjvoYOmFhmBMK+nWiqZr24I5K0iTDCEUYeSxixQRAkZ6zmy7NsmShLBaQbAUasUK8EKj20weWiuGWdEWNhKeGVP0doccxZVpjR51qGLEnZzRNRkm0cgcruY9CqXxuzUnQrHUkUVPkk9TZCNYJUvEAmgCsVD0fOs7eNTvtwy4KEiWCdMJ2MYz6qUslcEKReZTinzE3mDEr7x2k1B5jk4q+OYxPiqCiHSShsRqFAoTwK4HUgiCWEtwEi0qjBQYqUAJelnGlbzg5164yYvXrrAzGjGvTrCuQCSCK9mIraSt7vgvVCTKSExauT1SEoQgVpIY2vlQlxmjzJBfN/zcz9zh3r17/OjHj9m9fYtOlvCCs3zn3SM+euR5fApZlEjv12XnPY0MWCGoaE2Rnc5ImwSJp1EV00rhT6bItxfMQp8bXpKPAh8+GnM4rbAhIxkvWR0v0FKQ+RHj0yXvfvCY6mzBsJOx2e9wZ/sapRQ8XlRECf1+ys1bm7ChUTrnF758gx+8P+Oo9DQ9ichTSCSlsIwPxhAk6b6gf31Ab5RxpSwZjG5SI5gffIg+HiOtZ7DVp/ae8aLCjldkoSFNIxM15+bGlI6RnBx63p6OmXQaKr9iPDSYRZ+kc0riBpQLx/63fkRP7FGMDPJKzeys4mhZMT+uyVSk3xOoVWRXZ7iky7S2+JVimQg+nq+I4YxZpSluTCnwGFvTw9MZ5jDosjd9gezhj/AcUdUB2wR841hWp9hVAVUHRhkMu4jRgHT3OleSnO5WQQxjFuMZdlZxJXQwW13KniE3XVbzktWyoQkrJjFnjufIT2gWFeVsCe4En0V8LqHOkNG3UttFTTIwpEPBA5EQAigciWoIPuBrRWoCXjqi90CGEAEpHQiPCBFRSaKX+ACOQBIblLQIE/EJiDqgmhpiCwhrLSmlQgSF8oI0c/jU0QiPyi1J9KRNpKwTlLYoE/GiQQSJIl2zlz2prvFS4JWkSiVeSEwI6KZCdTuo4EHVGEcro5OOVENQ4IiYRCIjnD6suC8q9quGRDtA4RoYH5xRlg2uo+HagH5/G6ULfJMzJqOWAm1WOC+IQdKxOfN0QiUsIQywMcVGhZYBG6FGIKPHS4cnoChoRIWLnr5LCNqAjDg7AFkiZYXDIElJURByvOggMBg5RwqBR+E8BBQCQ8QTiDggypomOqoIG0AtPEE07fF93coJBVREGgINgQGSHslPXSf9O4FSP9E+g2ryLMbT55X4fNbrnwZMfdp7nwVmPXWul87Z1TUz59BJwtZzL7F353l8U1POJlTTCcvxKY/fe4fuWuUx7HX48cNDysa25udaMswSXtwasbsxoomRb99/xOl8wdF8iQtQ2gbnW1+WVV3jQ0ArTbqmAstPMWf+i9bEGlRSQqJFq6l3PlwUDXuKlRMvvXj5mpxvpVofqHAZrIG1fO8z+uEyI+gcZbzcLu1vkKVc7XbYHXTpdgv6wz66yFtzwsWCg4MjNnpdvvjcbXxTY0SkYwTdTs50WfHugyMeni0pioznb+wxUIJMSXKtYDCkjjCeV1SnhzjbYEPkvYMTzpYVk8rinLsIDBdVhQ2hXfCtq9v9Jz/7Kne2hsxXK/7+v/kWo80RRZ7Tzzs0VcVkNudP3/6Q/+SXfo4XblxjS0UeH52QpAn/0a/9CgeTOYuqoQaC1C1bb3bKH33jT3j0aB+ZZGB06/+SGApjkEIyW5W8u3/IZFVx59pVTmdzbNNwa7PHf/TVV3nthdtcvXWbf/VH3+b97/+49Tz7CfniZ1+ilqUWkQLu7G3zyu0b/K3//H+Fn0+ox6dsDkd868OH/N6bb3Otl2F9oGzcBXPr2cGhgBB45eY1fvNnXueVr3yV8cEBR/fu8x//zb/J9saQrpHsdXP+yTf/lL/3J9/HC3UBOH7eO8xaR103lGVNVbc03i8/fwOtDE5o3nl0SO0aHt97xG/+3OscKMG79xL+79/7mMq2EN6Xfu9PiSHyeLLkb37tFxludhDjx3zz648wnQ7/xS99gTudQNkENja3eeHqHkWe49OU/+b/9Xd4672HzKoGQetP1081/7N3H/Dy1R1e29vkzpdeIDeSUms2sowPjqd868Fh6++kJP3o+fmvvE4TIw8f7vPN4zFnZY14r/W5yIzm9h98l1997jqjVHPw7rv89z/6LiFCZQqub21zc2PIj+8/5taww5V+l5eubPO+DtzX8L39FbPaMS4j+/OaP9r/AR3zFr/xjT/hazf3ePXqLs99+at0rlyn2Nrlb/+N/wW/9G/+iO9+50/5wz/+Jq9f3eLFnSE3ehqTZOi8Q7z7Ep0XXmZ4/RZOKjazU5LU0P/iDXayF9jsFJwFiN0+Ls3ZunqNf/j1b/LPvvFd/BOMAR8CK2+JsZ2j2+ISnwBoQiDGNUj156nh+vfQLsvitNI/AbZ8snkfqJu26ERj/QUwXVUlh8c1//oPZxQb22xfv8EXXnwFkxYgBLoj2uIQ1uEvgVHnIN9P88P6qSbsfAqodOn19S+Xt273yxMT9c/c9/l5fPZm/9atrkYIM6dIjlkyIraOFeThGnMRWFJT+I+JXlLGAaOoqcOKx3JJ7W9SRslEwoIV6CVJXnGr3iBiacSKMixoxIDG3iTNPkYKTQw9Xmn6eFEx1WdEka3LMnfI6eBC4HG0bGQHJE0PPb9Dv3BUyjKmBreNl2BNZKMqEWjOVLfNDQSJoOZqqKiE4yNVo9ilHwq+0GzyMD9lIZcsnCOLU7Qs6A5fwv/NmtzP2atukDdL9EOP+Sdg7+4T8pIbNwNH//IB98sFB1nKztByc9PwW9eGDNnB14J7B4E/fucdvrP/gA9/8R4P7t+Ghea1R/f5eq2YJZHrz1nsxm3KwZDKv02QCVktub6QHJOzTDTcuE9+EMjnkZ5QeJ3AWpI+qRqgIU1hAZS6YGO4SXNssIsI6eN20GhFc22X0Bwhast+kmC2HCIPHLzTIzGWVLelrHQ5h3LOCYZusOxGx6mE2jichn7+An2dk4c5da+isUOE3eSgBAY1YrMivT/HD3PsRkE8eQCyB2pI1SwZzDO2lx0ePT9mYAObFvazDGkt3abBpgVStJ5++yhYKeJHgqosUMqR1oJ6p2a8rBiXCRkR1VlgemNyoGoi7ywjxX7BayLnP+8N6L++ibk6xNy4SpaeEusGO3E8ul/SKQw3b3apz0AngmJD4qOmsTWL1RnvrhZkqeHFrQ0MKapUqBOB/7ldmj4s/Iz04SliUhOOHd95a8y8LjG9km+c1cSF47Vx4BtSMl7fZ1es5cVRl//sr/08w80ezXLF21//U5LbmySDLsXrX8SvPJOjCd/+8JSv/cZXuHHrCp2Z4yybkG5n/Pxv/i1mh0sWVcnDYsLmw4x0CfNiwkd/+gFnj2eEqgsbDtmRJMUGqmwQ1hKi49tff4/Twxm/+Asv8v5ZYL7y/Jx5np//qy9z940b6N4Of7R/n8MPH1Dmc/plTeE9fAhTE6iVZrsWkElcHsjq1YUMtMkyTiOwAlYlb7z4Kl979RV+43/3Es3xKYcHY4pbKW/bA3549IgrqwVSR6rYMN021LJBmJr00SmD2tELjuXNGqYRNxY8SBb89eEN/qubd/nqr77G+MYV9oe3eO1//r/FdLpE5/i/pAl/73ff5P/2T37MpL6GFCsMp2w0Dcsqp571ucJjylWP0/IOd4aPqYLlsAGZjzg5FZz8XsOfPPcxb6xm5LXgv/rFW4h+gd3Y4OzDU6Jfcnx8wsu9bRrbI8y3+D999G2mq4pslfK3vneP1bLkd773IX/7b/4a125tUKULHnzrD8h7KX/5tdtkv6qprWfrWo/nbuxRFBnor/B//G/+Dt96b5+3dJsA7/cCX3jO8ddfe8yLe7t88fqQ3nMvtx59wrL51xOOT5d8/MEKvScxQVC8J/nii9cJUlL90xP+32dT3m0mZF+/R92LbOeK/3r4Jre+8hxFnrJ8+yO+940Psanl8DdP+fU3XuUvP/9FfjCZcbcT2DEVu3mfHdNnXzT8g+qAj1f7lIdHnN7PieyzlSj+9tff5I3n97h5Z5uNv3QbrtyF0S1+8Ze/zM1f+m0O3vkj3vqDfV65XXD3Ws7GIEPUGcgcfvYqFF8B8xKgKDZPKbrb7N7/GO5sQ6ZgHGG0hesN+L8OR/yz33+Hf/VH73G4OqSxA6TvcXJSI8SCmCwp/S5iuETsLuHHe3TcGV19yulXC4azIb03Cx42H1Ew57qsOEpXBAQIyfLKFWrmxOUxMUaUCihdMx2Aspr0OGG1MsSkht6KjfmUkArKLUF8cAsRLNGccRC7JDIwyBrq3CPqGUl9zMZcsGpgkcLW5hKVZDTLayTJmOAd4/2EjV5F6gpCvEZVnSKrkivLmnGaUCcexD1yAYUYoLnLeHpCXK4QQrAiYSVgksCo09CLcDZJmMYtRCXgg99ldb1eO7oY7IMP2L//Pn/vDy3yxd+k/4UbfOlrO2SdPazJOHCWMEuhtngxJptdJXEFw6Ri5msslk4MnKrAiRaM8Miyy9BJMuOQoUdUlpk5wYcaFzxTc0AWNjG2g3KRpU4oVcZEL9kkskmOa24gmVKKGZNg6JpTMukZr14lSxUm8eRSMBd9LIpehFoYznTgSj2ig6WmYZUVnKkZS/WIlayInS1IN1HGUjHlNE5/6jrpc4NSUmli8MTgQXxWRaLzxd96IRjXi8JLQNFnLTw/D4j0ef2l/m08qz6ZpT1/zVtLuVi0Br6A7PQYDUb0d6/QGw55783vMTs7ayv1ETFar6u5KZRJ6A1G9IYjhJK8miR85+0POJ7OeDydsdXJGHUyhlmOj4HGe6ZlxfGiYmXd+Ql+5nf+99We9BtARKo28ImxZR3F0GbYP+2Ki0v/w9pE/FLAIWVrNH5u+t5NE/IsoZvl7A365EqQi8ByteBk1fB4UVE6j1YtuLOqLWG9rxAh0YoiTQhNwyvP3+W3fvVXePX6NkWR/3+Z++9oy678vg/87L1PvDm+/KrqVS5UAgooZHQ30ejIIFKiWhRl2kujZY/WjDyWZ9ZI8swseWbkGduz7CUtWZZnFClKIiUxNGWy2RndDTTQyKkSKr5XL8eb7z157/njVqEBEKlJW+Jvrar33rkn3XP2OXv/vvv7+36Rvo9RApNlZHHI9559HltZHNq/j3zYRoQD0n6LSGUgxs+BshS1apX7Tt7D2WOHyEsDnV26cUqkIQJuL7msbu3y5s0VWv2AKM2oei45v8L8/Cw//aXPce3yJdZW17nw9g1OzTaZKuU5YKXsbW1wu91nsTWglM+T93yavk9LSLximf/o/IN8/vNPMdWs01q8xvVvPk3Q7iJzJe5ZOIiT89Amw0QB0aDP7ZuGl5VAWRY/9eD9RLZLgiAaDZmbaNCs15g9dJgbly+xsrTEaxcuIXybkRIMg5AXLl3j4q1l2umzbOy22ev20fzh5+iDnu+77Lgsy3DtMTvqnvkZKjkP35Jce/N1qpZF2VY0JyZ5/PhhGr7Dd1+7wN4opBsm72POfXBr0sZwY3WDMAh59sI1FmamOHFwP+VmA6Ukw9GAcw8+gF2p0Jxs8uvf+SG9IHrHje6TYL93ncwAuoMRV26vs73rceTAPp44f4YjC/uw4hg/iTl3dIEUw6lD+3j6wnXWO302+yMOT1QQaUaj0OOJU0eZLbpYgy28UYZXqVE7eJyHy5PsbW2xfPECwkoo1KtMNQ/w13/pS1xa2eRrP3yNpd0OaM1cwWWulGP/VINzTzxErlRG2g6xkZw7uMPc9g4TFy9iRkM8YLZaIkhDRqOAY/OzNKcm6UYxa7stShIcNDpLqPo2BybqHDm8nxiFsF2qU7Ps7Owy7HW5b6rKXK1Ms1pi38IB3r6xxPLGFpMTm6z0Q3pRTC6OODbVYKFR5aEj08zMzlJpTmLtO4JXqSO8HDd2Wtzc2GZnb4+fPTrNdLlAo1ykeeggTrWBVarhTM0zTDJur6wwWL7J1u0lutsbLPgK7RTp+3m2cNjsh2ystnnu9YtcX98mM4Z3Vfu+A6Cb99Pk3hVGglAKeccV8E8SW/VuXyqEeI8Jwsdt80nc9wRjQE4ag6cU/Tvr5nM59s3OUKlUKU9MUJueJV+uIi17LF6uNWmW3gHzzHsAqXf/uwtOvb987+7ydy+DDwaq3v+O+ch+3nxM//POfM97pk3evaPxj48maH6iCPyAkvHJZ0VS2cIWLlIKdsUGRii8u21SDlH2Kt2khkhtrKgEzpCRSdEmI680GSmpDtmwKrixTS4qUbBy9KyEjtUnRt2RRe+BqRHh02JcllkwmqYZclu6CGFR1AKBT6ocUi+jKjvEIiaUKTYuUrsUggL92MWTGZMyZJexc1tTK7KogZJQISFTGUYEbLspCbu4qaISzdHPDUiVJkkT/MwFA4moY3Kz6PmU+Eu73Ly2TH+pR7YyYEAXqxiRGxlcCX7OojRZJD/Mg28x19TE20tsbCk2Xstz/wmH2VmPifJRZsuaKAvRb6/zo+6A3VThDBxkOmY9OkIgjQOph9kok2URkQtbaYVcqinrjJ49GrcEYYjzMZgKlnYRmztYmYNtCawoJKkJ0pLEJBv4nRA70IwqMSaSqKGLECVggBDBj5uUgXIytrMfSovJJE+SDolFwtUwRc8NmDuUMLVryIZ99DCmbduYQMN2BtpQ0CP8bIToQlgKCAspaluTmZDtXIras4gTaNmCqbSKMUMyS9Pbv59Z4XJEW9RO53CTBKcbMohHDHdTOusp1/1NCmWYmDO8NGjiW0OmnT3iZRdXlSjUavRzAfctzPLZ82fJnaqiinVEbg6lepCNyOIBl154k7yyODo7SbbTQWQRUgUMRhadniYMFfntWeoTBY4dqJM/9PBYv2z3Cqbgox1D6hQYJRZ7tHi7t8ww10M7UG9WeHJmntpEkyceuZfPvH6Fjc1tbm5ucVRWmMjlKVow7LVY2evx2xtdnjpRYJ87LvEb5R2KB6d58uSf4fTjT9GYbGAly3S//iOCzRBR8Mn7x3DJk1MjnKkMGfap9F5j6bsX0Gsdznz5CD1RIdI2Wdhn3xGfSqOCqZ/nyKnn6C5dZ2exxVw9Ylg3BEnI8+tLPNPZ4PVLETs9mga+AAEAAElEQVSjEd3RkLoTo2NNmELH5MfgvdIM5xJywwy/K9mtlDCBxoQpxuriVCXFus3P3X+Y+VGZYhSy+vJtcsT4ZDTnFvB6Fvs7Ll9/Y4/VXoeNYRfRBUdYICAKPHoiJbEjijoGpeg6FrYI2d1r89Kbq1y4ssHMviYLx+cRsoIQClTC1EOP88XCJNPNaX77119iPQjYBVxAE5E3LXquQmchXrrCbmTI7goO17bJh5LKnmQ7aXB7V/C7WzeYaKScOLafJ+85xjHlI8IQE42YPjJL5igOfXqa6e+k7I0CRjmbQ3kXPUiouy73nr+HqbKHP+riNBNUswz3nOB4+Si91W22XnkVbTuIySLmcJVf/L89xQMrO7z00lWuLrZxhOHcVIGDXp6JcpPC+c+gRIWxvUHEVNSn2ttl9u3XCLshwhiKpzwiE9LvxEwedvi5yjE2rYSlYIvJgUtllGJ2l8nZKZNTVe75lftgKDGuQ/jIFJ31DuHmkH1P2jRPuhTnfNzmJPH1PQ6t9EgnM4a2R0xEumexMF9mdrrAsXtKVJr7sSoz0DyI8Org+CAu02uv0tsZ8umFScpNi3zFRRxfQKh5UBOQL4FIMdE14gtL7G2uM+zucGgyRuaLUMxDSbG1F7JxvcfLe4pLiWLZFVhuQpq2MOkA2ymjoxAdhDSFIh4oQiCZ3SAZZgxHNnXdoVTKmD8wovaWIjI2HcuQJTV8E1CQPbSzjRkpRntVojjDIcETEZXMECYOvbiEKNuQaRgVCaw+2rGJrRyW3Qc7JqnGOFsCL9XkNhNiYyOR2DhsZwnxyINulU6jjZelFMnoqoCsqFGTir1eDRmBqK6TdvNIk6NrJwSpj0kyPCIMYEUBE5u32Y4nSeI8dqQZCR8jUyyrw6Bto7UkCj1yUY98OUf04FnkyjX8XkzFn+T8w1UmJ4vkcpME+w4hayWMByYAMzDoxKdMgi0S4tBByQjtGG54BpOWcO7InehUkAAtN8HzOtg6IcEmE2Mn7DB2qYyXEFk2ATEjramQ4VhDlIiopC45XGwjGVhL2DIhlRmRlvSEi21sZlxD3wkJrZhyZhiRIsiYjgv0rJCBHLAqFUlskWUeltfHIEiMh0hmxuM3ESOjIqkKGL5XgvgD45NrSo1H8h8/MhNjwv1dQArxYwbMR+k2fPCuPniw+ZPqUn3Q3x+WSL+/tGHMBjboLBsr21vW2KrcsrDyBZxcDkdJ7OXbmCAijXtYyiIzECUZ2kB6h17Xi5N3LNCFHJdGjeKY6aJPyXOZrVZIdEqQxGAMu8OIRGvuCoj/icmKPiAMY/BRSoVt2+8kAnfLID7oHo1xrPFoXwmQSqLuZAp3GQxaG3KuT9H3cJQg53mU8nmOz05REAYvi1jZHpff7AYxBsg5NiXfYTMdOyMoqVBKUS0VmG3WyZKYEwf2cWxhP+ePHyCX88FxiMMBEoMlBWtLS4yCCLRG6owkiekNhgxMTHeUooVkZmaaqWYD1/UoVKoUlUGkI0Z77XH5j20hxJiZMRyOsC2F5ThU8nmatRr3HFrgyYcfYMZXXC/67K5vMF3MU3Utgv6AlU6f1V4AjketWGCyVKDueziFAn65zLlz93Lq1D2Ui3nsqEcKtPoDbm/t4dXL5CwfpWEUDYmHPYLRkChJMEIwXa8jy1W0ZdFvt1iYm2FmZoaTDz7EhGdx3ZFcuXSRqVKB0MDixiaD9W2STLPcHo5Lnt4FznySEHeubTk3pl9PVop4dzTUNpZXcGpVao0alUqV455LrVrhwvIG7fUteuHgD4mqf0BrYmw4YOjHKVvXb1LOeeTy9+CocaGFNoaZffNIx8HzPV68eJXlnRa7o/Adc4a7OmOf5N0UJWMHsiCMKNeGhNpQ8lzKhRzTnstss4brOhzcP0Pm5bm92+HWVguiITJJqExYHJ6qU/UtWlkP12R4+QJ+tUlF2GRRzI4S+EqP5QDyLo/fd4qZ+Tk6o5T49UuMBkOaOZvJnMtEKUdjqgGVCYzjY2lJPoFSkjBVyuHYhrxtsXBgH0s7LVLX5fQ9RQKh6IxGyEtXaJLi6pQgHDJTzjM3WWfmyFFi28dYLl6hBFmKl0bM5SaZbpSpVcrU980ilaJSq+FUauTWtthud8n1O9w7Xef47CTHD8zjTc1i1SYwjQmEmyPJDItLyyytrLOxvcODcyUso4mThKGwSJSLY/toFLutHXY3N9i7/CZbq7cZtPZonDzGYBiQJJKlTLGy22V5Z48Liytsd7rvAaTutsTxPfzw1jQupzJjzbEPY17+ewop5Tsg012Npk8a7weE/pDxB7xTPu16Hk4YYrku1VqNfQuHqDUaFJqTVCYmsVyPJElJswR9xyHxgzSiPgic+qjyvQ861w+LD5useu9272Ua/2HW1PuOYeCuSPp72FN/TApVasXozEdmBaCF1AIrVYR2H1vYuHLswCdNhtIxAxViZQrb+EgGpCJmKGMqOofBkJCQCE1mLKzUwrMkihgjh8SMLaNdMmISQmEzwkXoGEOMEBFaCqSxsLDQwgKhQBqMydAmIxUpEjGm9Gc2WtsgQpTogbGxDBSx2NMuKeMyBm0ihMgYqJDUpLiZRSUpEaUJ2mhSUkRqI7FAllCqCIWY9MiIcNMjaFmkaYosKRxHoQYxSrqgLFI7Yi+00YlGlzMSkRGnEG9KJo9YHPZ88sUCk5MJSRLQWephdzXpMEWGDhagjB47O2kF2kKMLLSbktiQZC6elWDJcftXZtxOAi+DxELELmkQgpWO+6JUYiyDsTS2GeLHBjsQ9GsWKhaYCIQ7TmuV1mRCoM3YQEFZ1rg00hhUZiFRKJOwmsbMuRJVz3AyizTWmDhAeQkiUchYotE4SYofZNgpqDRBZCm2djG+xOQFXqQQjkLYFs1eDq9g41Ry7Mw3OGBcTqcOB8408IMQe6vL9mCdtRRursOMlDSKFvtrHpcWLXyhqHsS7DyNUpN9+w6yN9Hj2MEJJk5NUr13BpVrgJyFYAdkgLFH7K7dRo0yRKqQSUIUBwyyIb2+IggzhFA0KwvUyj6urfFqTZSKkcJB99JxiZwnSBKFiQRBL8TNCXzlUKpV2FedZfbwfu794oNMF2DjVg73Usj+sIJjFFvdHu14xGovoOt4eHmfct4jPxSoegFVLjFxeIGZ46coVkpACt9yGLZ7rN3aJV+fxfYcvFgTj/pkUYzRKUF3RNQNKFdcnNwUscgTd1eZPFChMTcFE+eZtLr0yynPLHWYquYI3ZSray0G6yHtUcb3X+yglUEqw4Ql0BZEqWCY+lgmwTYJsZPiDwxWopCWJJVgpMApCWpNl6npPMePlims2DgbMd3bW1gFm1LZp1yZxp/yKIUFnl++yJW9NrfW+whAIe9MGEtiR6Edi3yakmpJrBTCSDJpE1g26xdXyXk53HtzCJGCMQhhyM8e4ggeTeVz4/mLmM2Qrb4mkwJhMmyTEEkfQYbKAkaZh5ECIzWOH+JqhYMLUY1+mnBj0GI3jHHKNe7tBMwjKOZylMoFyjMlVNVlumxBK6UTjOiWY4JrG6jUMHNoiumDTUquwqwG5IyLKueh0SAfp+h+SBuQ0oAjEGWLew6cZmpviCs9ZHaJbBgy51VoeD6lvI/dnECoJggXANndwDEap2KTxgLl2BTOTrK+1EKmERMn6xQbRdpWjLujWdhxKXYj4nSbajlHbbLK7JF9iNhGWy6jgzXS1iWUFbDvRIHiXBF3sggLM2DlqVT7nKv4tOI2wWiApQJOH24yu1BFH88hq1Po/DTSngdjodOY0fY1Vtc3WN3sc7bqoRJDNDKE0kJIHyGKiKEN8Tamv0Zw+RJ769v0+l0mKjPovkUcQS/TrN7usrwy4GI7x0pvRJ+UvFQYK8aoGKEqiHgM8tvW2MGcAERliIklRli4UYibd3CLFo6jCKVi5AjsvsICJCmWHqK0DyZPdofO7ogMJ3ZJUgeTOUhbYhAYbRO7HlrZpMbBVUOEnaBcg1ESmWhkkCJ8G1BoYRGkmixTqMAmrGgEmrwnsHIpKgeua9EzDtqkCGcAKofQikx66FSB1ojMkGATM+7fTOZhNGPiBQqjDeKOk16mJVpLrN4Ix3fwD+yj1uqSMxGN6n6O3jvJ1L4qwpuj2yyQuhYqSskSQZpodGJQdoYtMzINSsZoaehKh7z2cFKDsQJAYowgFRHCGqJMDNnY5U4jyDIHWwg8AYlSpCSkMiEz4x5dGYWHwjJj171UDtFjs09cDKlRaBQFOyFQMVrE2GgsxkSRvIbYZAQioS80kI1RCqNBCDQOSlcwYkgmRqCd8bMkvI8dJ31iUCrIDI6QOJYca9L8BPFJQKMP+vzjmFWfpATwA8GQ9+3v7uD8/cDU3cjMj5leOsvGg3at6ey1sCyLfL7M2U89yaC1x8233mBrdYVer8sojBglgqxv+NHNm7S6A9I0I+faKMASoICC69EolVnYP8/i9g6D/gDPcXBthZ1I0ow/8SGALNU4jkuhWEKKDT5MX+yDouBYNPM+EwUfzFirSUjFZqvLE/ed5qefeJhrtxYJowRjBE+eO44I+nS317i5vkwnGLE7DJkt5Zku5ZivFGj1BqRa41mKhVqFh+47wy986XNYBY+tzS2uXbzIwkSVRpZStAXBtTdwPIfc7AzlUo4byyt8+199lXam6cQpG4MIgKl6jfuPH+dv/uf/ezqtFv/kH/0zvvvKBYqOZMrJuH3zJoMwIEKyHkMap3hBwBP33kuuUiGwXU7sn2PfZAM76HH/0QNUHcGrr7zCc1dv0eqP6AYB7QwqtRo/++Rn+OkTc0z4NnsbOxy79z4ak5NUKkWiLCTsxjRKBQqe4sLOJv/53/pvePzoLPsqeUom5oWrt9nojvDrNUZxgu96rCyv8tCjs8zOTZMMqxQbk+RrTVSpguX7KMcijlM+8/B9lKtV/tO//y8I7zAipHXHcvUuEPRRFZV3fmo91qyYqxY4d3CWgxN1Xllco1Gu4hc81lbWqOdyOKUyE4ePcHh2FqdcorJwiH/yO7/H7a99+xNo6BiQFg888AB/6vM/xdO/9285OD1B1XUIl29SrNcp1epIYzgyNcOh8w8QxzHf+tGrfPWZF0mFIM406Z1z/SQhhEBaFkGa8srla7xy+RrT5SI/dfYE/8c//SXqvo1VKBA3pvgLn/ocg2HA8o1F/vL/9W/hJiF/4eEzzBclUsIWLgUPcl4OaTm8dfEKOgq477FHmZso4+fzJPky+dmD3Hu6yLkv/Tz/2V/7m7x94SK5cMjxWo5DOUlvbQkr1uCXyGyfZ3/0Irev3WCwdJPPHp9nbmaexn3nmK5Novw8yvUItWRldQ3+3t9jarhDnZgD9X0cOHqM2tx+8qfOI6sNWsOA3/ztr7L8wvPYvRZP/tQjVGolvFIRrQ0H73+Ig/kyZ4cj/u3X/oA3X3udoLuFTkZ0R31+sLxNfiTIdyLmhEfcH9DZ3uHp3/xtfnh9iaXdFrurDVwlsC1J4fVr2PkCTq7A/ESDeHuD0e42KzsdjGNj+T69zSGXlm9yZXmDm2ub77h1vnN/fgLg9G4kcQKZIRFiXDXxJwSQEkKglIVSEqXGTKks++gO4m4fmGVjY467LngfsjZxmuEoRfHAAfxRQM7PcfTUKeYPH8XLFRiMRsRRRDQKMTp7D/vp3Yyn97OfPszo4G78UTSbPtHk1t114Q891+8/4oefwR+/qC8zCT2TERjJMGsyMchRHuQYTIRYUuGgyKTGGjRwexMMJpeJXUWifIpxhdAyDNSArZ39GCeB/AA/zRiZjJ5lccTfxlUDGmqANhZCuyhTZNVaJ5YeqVWmlEhGMuMtFVCngzQwMgqEh20UfmzRTycZuhHa6yHiERkpQ89wwtIkasQNZwtt2hhdIMgm2C72CUWAlgMmsn2ITDCkyyBtILRLThjygwZGpcS5HgOrQ97YzKQNkjAlVIKWl+PUZ09hBfOwcZvk2oDl2z1ae4sU5Ay9SPDa7Rd45mVJZ0ezL45JDMwZg2ZEc/cwNadG5VBMJ7PQroPzhXuY/s46o86AxdBhAo0jMtY9iBOJ1BrXHRE5IYnQ+Gg6jQTjaJx1h2rsYCvBwAkwXdADwZ7rjSc3pGLUmMQO+vijIY35GMcCg83O7n6s3DZOtUNYWCa/Zci3YdfzSBKLFIvwmKa5k9LYjbihNRU0RaHJ9C5VZ5L5XIPf3uoSRhkCg0efYlogn+QZmVsQaEY7gkID7BEUdgWFhWOcnMxx74SFClcRuoBOqtx4tcvZJw7yqV84wfL6deJhCqHF/aeOIUd9RvVVnn5pkRtpl6+ZIb/cV8w16jSm9zP7gxdJ/YjskOIzD09z+p57ePjTj8IJh63FNhefXuHBfQ1yIoDcLlx6FgrA0SYNI1m8uMa3v/Z9+rtb3EpTnrnzAJ5eqPEXv3iML/2Hv8yo2+bF3/mHqN0tLJ3i7XYIrrTIRpCRp503RJ0R6RsBj/+pQ7izZYb5IpNzszQmG4gwY/LRBeSCS7O7xeL3Vrm91ubr7W1G2mPf5CT/5z/3JR47XKFiG3aXNqj/9HHc/dPA3J1EKQIysmLM6u4aX/+Fv8sjnzvI3HyJ/DBi6YVF2mFA+nP72N3cRkYZS6/vcfLPn2Hi9BykElQRZB2QWI6N8m36bsIjR08iix5/40cvkVvOcLtgXI90MiXLw+LtBq7fxcrHiJ0qaRqh0wDvxoBd35D4msn2BqG20Y7D0UfqfLqywOn8FFeXlyGRWCXQ26soZshVGrD/JO7hOhOPO/yNn/saf/vvf4O3/uHae95HnheQFhRhzkXsjiffQRDHMxx48Dw/8x8/xK3ff4bZQpUJp4jkVWACmAHm8Gf34009xH9gtnC++xLP//ZLrJLDSjJUNB4rG6VI/bFQfapSYjvmkJCMjORmZiE3BTksChTphfC9vV2+99K/5HMn5/nUIwf55V9+EBwH/ByUG5z8lZ8F08Mkr/Df/+n/Dj/J+NmfPYd3WI4TqtRm32oTqAKCxW+9gDUcct+jx+B4EyoeFG0Qj1KdrvPkf/Dn0L3/F7tX38bsxJRP5aiUNWLrVWhMg9sAjvD2t75L58ZFROs2ZxaOUF44hDjyBWaONJnBe6dz6W2s4v/q3yEnepQbLqfOfwpx9CBMz8GBR4Eyo6DLa1f/IfHTt/F3I+q/chTsBjglUBU48SDe6SoPmRZvfOP7rL3+JqL7PN2ug95T9F7qU1qwKMykTM42IFoj2l7hlb/7XX7t9h6vtgZY1VXysojt5tArN3FaJawgj3VeIlbbmLUew5UuplJA1PK8cr3F2rW3uX1ti9+7skKU2mgcBrkMg8Exkn44h/FaGG+XONoZT9wIw0Z9FSMtwMFfdfHihIKOOLKlMSWX63aVXn2TkQzQXsTc9RV6yrDkGw5tglUMEIdDxNUSbiIoCsVKdxZhDDki9LBPYkfEpYRIHQQRwXAHtKAQS+pth8WgQZSOCBlhgAiHnilS6ndQJkKzRN/kCAqCjUbIoaqi3LWpvO7xozhgpDSe54HVx81cKmEN3BahDBn2DaO0zFa1xOK5OmaYQ3e79Be38FMfJwU7CIk9b+y+54+I3kyxZks8+EsLHPUaGNemdO9BvDMlcBXFW0OyUZdsKCmZORZlj74zBKfLXuwhUk1mj2iYFNt4+FEJQkGqQ1J7FeFY+EgqqLHWlVY4Joc2cmzeIVIGGAYIhBmboCijaal5RFxGac12YZuc2cHSKTs0SFNQxnDCDAllQCL7xBY4maaYaLRlsMmRNw6R6pEKF8ihpE2aa5GKHlbiIZSDVIq8zOgoTSDHQFM5q1JNix87TvrEoNTKzatMTkwyMTGJTlIM5j3O0uLdv5iPnon+pEynd7OWPq5875MAU59k5vXueh+4vzs6R3ed08Zsp4xRMEIpiVetc/zBR5g8cJBBt8P29hZrS4uMhgOibkLDdym6DrViCdcaC4/24xjPUnSDiNeu3WJpr013FJCmKaMk5SPzhz8hcfeaKkvhuy6lfB4lJXD3/n3k1mAMoyRlmGQMkow4iUmNQCiLX3jyCc4cmOFQxWfPkUS2R6Yc/vl3nmO33WGn3WZ5p02kDeW8zy994UlmG1UqOY+t3/sWwyjC8zz+whef4ui+OebrRbxSgWapSHNyijfevsaw3SLq7pHvb6KFIHBzXNyL8V2Pr/zMF/jWCy/TjTWHD1ep5xwOTE/y2Lkz7J+fo1Ep8XOffZRf/eo3eX23jRaG4XCAzjKEkHzlF3+B6VoF2e/Qb3Wp1Gs89KlPUfUVlk6Jd7cozk6TK+axbMW5s2eQXg5cjzhJaVTLfPGJR6h4krDb5sa1xTHLJ5/DIkV5CuN44DRwPI9C3ueBYw0qzSqJa7MdBOy770GOF0s8eO40Vy5fZmt9g6sr68zdukk+GVH0FG6xgJcWyDo7LN26ydvXbiIsm0sr62Tr28RpOma0KQXmw1V23nmmucM2ufP3ZKnATL3Kzz71aQ7PNJmqljjZHTE10aDoe/z6P/k1buy2WHntIhMz0+wjppZOULYNvhq75N19FD6qOVUadYqlHJZIuXBrhd3tXeK9HbLNm0zUa9TqNaIMUtslth2i4YgjEw2+8sgDvLi4ykany0a7g2WpOyVIn6z9y7vsCyFojQJ+9PZN/tav/y5/9tF7OX7sCKcO3UMQptxeXuXb3/kO09Ui/a7mX7/wBpfX1lBC0OmPaCWGQrHI8beucrJZYnqmzqEzx/ErNZRlg1EI12NzZ5cf/OgV7EGfohS8ttniv/7Wy5TyF/AKOWqNBrl8nmKhhGltUzUJT56Y5cDJY5Rm53CLJdIwIA4iAsvmpZde5cqVq7zy2lvoYIBNxkw5T/7aDrnimzRnXsctlxnGCd95/kX8YYeKNPzuG5eZaVapVssUZw+h2iFGWXRuXEGtbzBpYn5vb8Sl7iLCXiGzXSzXw/d9Th+YY79v0bQM5yc8qv5Bbnan+fqb1zBGI6XA2uoz26hSLxa4fGOJcDgiHI3YGYYYKZFK4q216Y1CeqMQhEDeKfP8iUXA7/68wwiWd0wQ3ll+hz3z7zre3U8qpbAdG0uN2Z/DUfixWk0wBn+SJMGyrA9df8wgGpe7uZ7PzP4Fpqdn8XO5sQR3nBKnPdJkPDNq3gVGvZ8B9UHg1AdNBr375096PT5s2YdqUL5ng3ctN+/6810rvQOC/xHAsg+K5MUcjWmP6SmHKFQkStIpa6ZMla7ps0eLqdRG2wFBZYNY+sjQwwkURQ3K1yT5gLA8QgqJpRyMSslbGXk7pCOKREITiSET2sMijxQF+mRkIsUWPWzLwTJgZUUKqkBGRkiCISFTXYZezELaJG9nxEJjjIcixZVLbIlpMuMg0ypSKYzwGEiLonHxjCQyDj0DxmhEZlOyYpQccpsRQzy0MlgqppwWwGiW1DLTOoeVSZI0x9AILKeIf2CWh/2Ue+diBo0Oz13+PrdubpBdizllT1Han6PcsFG5EihBknYouNBRHUbbmh9ubrE6HJEIw95WQD8zUC4wjEckWYYXl0mcAdqJSWoxuZbCHipEFiI7itQaD4tbjNlQTtuBLAB7PBlbzDLsNGNHdSnlQzwnpbtto0c+WjvYtNAjl2Q0TbkTodOInjMusy2KCGVC2kIwVJA6Fo4JSICBspmfj2gUbPxhCccJiBOD1uPqA0kfRwyRAvp5Qbcg6Mk8eUtTKKSI0QpdUWWxWiVsDxEbQ5yNNp/58+fZf88UpVkLa91BK4/Ud/jVCz9g43aX9YsdVvdCUi/j2DnDT33+i8w0p8kVa1yItsnikIbv88QXP8Pk1D7kxBy4eSrzM9zzhTluLi6SXriF7nVxbtwgkylBxaWlBN6kz1N/+WHefO4SpUQxX5kk1+9zYF+FB584Tq5YwPUyzn/hMH/7Xz/PytouWb9P2IvxQpepQZM//1eeYqLuEj2+REsOcCemOfHQL+D5Asfpg7mJEJMIU0Imgumz91C7z2Z2EqxhRr1c4aEnHqNccMj22nTeWKaczeCJGcZqYQLIAfuw0xxVx+fcg2cozdqkJUnPkhR+9iTVSpGFRx/kVuEVOtc36exokldWEN0RzGtoFqFgAymri+tsX7qN7yiW1tv0NMiBxkfiOw67po6IOyg1IhUtTDKeUMvv7xGFAToJKXkSAkmQSOxCwulKgyOTU5z/4nH2NQ/RKE5xWG/hMAFxngvP/Dq34ozljXV++tKr2LP7odFA5AWO1HhRROg4pH6G9jXYICILrwuNuE6sB0RywOQDNo0FATLiXzx9i1NVn88d32MuqlIulCn7NTA2iS8JcgZrK+bhwgz/lyceYTsLub7a4rW37+gPqRRljUjKCVpphBRsBxPoRON5AW5jG5HAqCsIkgqZyDAy4PLqKsH3B+ystHjqiSNMHT1O4/5zQEx7ZZMb37vA7OQ0vb0Ov/VvX+XQ4m28vAQiLlwqki+WOX91mbkJQeFwE3H0JBTnwfHuJKZFhp1tlt56Brm3Q7+d8tULQ95sXcLPGzYtzfl9J5ko1Snkc+joBgUrYP+R/RTu34+YnQUKCNqABuGw9KPXWXnzMi9/6yVWwxDpKx4L9iFf2cX2L1F77Cp25hG0h7zwnaeZVhb1nMerz6xQqO7hV/KUkh6O6EJi0925idrcwZU9vhd16D17mSC9ych1Ed4tCrkKf+rEVWabIVU/5sRUlV8u5TjbGfAH33mdROyR2Q5mC85PTHG4WOL6ry2zrmJ20Qxv+JhyG1FM8DOfoBcSDGJGsoajQvwsIh/XSRmSmiEjvUGcZaTJmD2WphapVpCL8MIMbxBSigWjVLGLx9XRAhMVl1o1xe8mZJkhcS023Igsy2MNy2xpgZuNmA66tFQCeU1QAKvVwZYZeSdhzypixwUqI0F7WmBSg+oLhIbQwG4A0uqgiCGBKLZIDRhCRuUQy2isyKOmUkTqojsNilFK3gjsSQu5mWDriLyO6aU1hgri6jaFMMbWQOKBFWOSFsm1NtI6gEljhC9IhAOJg0OJNHPQOsWy+oS5Ef3qiN2DmsMnT2M5BVYdjb8XYMjoSBCZjTSwbQ1IjB47rZs+Qg6RwsKJpunYfVKhSSNJVSbYClp6Hke0UCalH06QqTaKjMk4R+CExGr8fUYmjwbqbBMKTSQFXTaY1BVKmUsUQyKLxFJQMgF9UyA1Hj1RpCNHBDKmEnlIY7AwdHSEb2KKhGPdKFEmMhae2R4zxihTZ4gWglQoAkZIE5PXGZa1SYykoz96nAo/ASi1t75K3nWpVesoKcnMmC30YWVln2Re+ZOInH/Yun8U9tUfZV3zLhDq7tDUME6Q1Z3P0zRFSAfbcSmWyji+T3kwIFcqEQYBcm+PYBRQyXtUPJdaPoclxyiz4zpEcUKcZQwHQ/b6QzpBQKbHluQI8TGgzr/feHeCI4TAshSObf3EzIIk0wRJSi9KiOKE1IByYH5mislqBd9S1It5MiHRlsMPun2ub+5yfXOHvOdTzeeYrpZ59Ow9TDXq+J7Lmas3aHX7aAOnDh9kplEhZ0lyArxiDq9S4a0332J5fYPF61fJpwNSBCPpkJYmOT4xxUPn7+PK0jLFIMarTXJq/wwHZye5/8QhKr6Hb1LOHtlPFAzZ2NmhLywq+Ryeb+M7DmfPnuXQ3BSm3+WlH/wQ31JM16rkREQ6iml19xiW8vSHQ4ZRzEy9TmNimum5OYxOqZUKPHDiMMM0YcuyiI2hPwpo97pEjIWuheejhEQbjWtbNKpFJiYm8PJ5Qg31yUkmJiZ4/IGzeGRczhLeurLIjaVlZBwwWy8RCws/iFBByOLSbZY3tuhHKd3NXUbZ2DVQ3En49SdM0oQYuxUWPJeFySYn9s/xxPlzTNfLlPI+s3osHG/SFKkU7e6QYT/g4pWrhNGIqfYOre0twtHwE4EMBoHvewidEvY6ZFrT7Q9YXF3DDrs0y0XqlRKjTJDaDqnjMgpSPCU5d2CWVhCRZhkb7c67G/gna8t39a6EIEozVu449M00KiS5EtPHh4x6AZvrG2yuLHNkZoKdnMsbV6/z/Nu3yNKMUZTQSaGU8+l1+xx/7Cw+FZQ0JEgyYaGkRbfd4fbtVd546RVqpOhSjsuuzetrO6SZJmcrasUVCp5LrVhgnyexKznKMyUy22aEJBmNGPUDgjilkxluX77Exo0bOFnCVmIIUs121ENv9bCUonlrjVqlhAY2VlbJCUPPlqS31pjt9KmWi9SHknyxhS0guXGBvOMwk3PJVWost3u0ugOSeA8J5GwLv98mV89TruQ4OFOnMDFFM1U8s7LLcDAkjiNkmpLFCVEYcm1tiyBOidKMfpz+2C2t1bsrHYRUagxK3WEE/VHhBGMMUkoc5+PdQv5dxd3JGcdxsCwLJcaA2QcxgD4osix7pwT2A/s/wXuuo5fLMTU/Ty5XoLO3RxzHZHE8BqPubPJBgNQHaUb9pCLmP+myu8f4OFOUP7Qv3suBEu/q5M37P/9j9sOday2aloPXLOMaQdvKCFRCzdgYo4gMqMxFS0PsRBhdAC0hi3GMIssEbmYTOSESB2UsUClSpDhC0ydHhEWCQ0E7SBxS4eHhYExGnBmMypDaws1cLBSCFFsEaBOhidBWgpAllAQbTWJ8FAEefYZmkswIkApxp+QvQJEzCgeDMIKWSNAYLA2+SDAio60UWoCU4IoMS1tkJmGk+qRIwCHTDtrk0UqR5AtMT8VYRU2c01zafYMgbjHo20wVJ5gpFfAmDaZUBUsgUohTTRKH6J5iuTXieruLDhIyCZllgSvQQpDFApUKbBki7ACdl6iOhZWNXX+tVI1vtDCkSqO1RAwtlEhAxGTCIIxEZQIZa1RZIl2bcNsmSVy0tHBUDxMXyBIPX6VEjk3iCCyT4pgUy2QQesRaoCU4JkULSCxF2Y/JS3ASG2lHSAtMMh6mG5GQyQxhu+BmaFsTxB7KSvCUJgy7tGIFgc0wjLAHGaVBzNSREvUZH9c15Mp5bF+RaIvtVo9rmztcfHsHlZtivmFz6liBo4+cpFGaxKbIyeEh4r0+ha5k/7F58uUmSAtSge/n8A7nWFm5Rmdzk8G16/QXW2TKoGs2hXtmqc7VOHLiFFvtDrmRZK40z5QUTM6VmT20DxwDrmD26DR7nQ5La9vEYYqTc6n4DhOiwOyxY+zbXyY6WGPw1mtIx6VYncAWI5QeQH+HMCgwaEfs9mNm6xUaEw2OnZvB6ycU/AIzxw4jEAy0Q5TBoKdhL0KwhdF5oIhwE0wMruVSnKlRmLaxKhZZ6FPcX6Iw2eDQ8QeQqz3WY8PFZ9dZu7SM7HXIiwomtTF5MGmFrY0tNnZabA8TtoMWrSiFoY3MJEJYZEhUJBFGIIkQ2AgpsPwQY0IgQvqKXOTh4jDZTDk1P8H5A/u5754zFBpzuPkG00wSx3mGfQO2R78fEEZ9lt+4SKHdx52bRtttwmGAlBnGsjCWQVsp0jKICEQqsI19h2Whqc4J3HxE3O/Q6gVsk7C+K+i9vEM9n6NZKJAlGWlRkFQE0aqhITw+f2iBRdlBZ4Y3r3cwQo4dRbUikwasDGEZwp6NlST4KkW6oIUksxSp1Gg51n/cafeJ+wnttZha3uGYqOEuxEhri8HOBp2bu8wcnMbybZZe2CN99SbGzRjlMt680qCW61CVQ2a/vA/bg1g6WLGLNDmM5TDqt+ls3Gbrwuv4IiJXtOkpi7fX9yALWAtGuOuC2WKBRgHy9ZBazcOdqBF5FokyuP0usWmhTYzJFN2ly/SWr2GykN0sIYgN9VZIuLqH1IZZsUPVsTH9mN5bOzCXp1uN2bkoKNdtChWPiSCmbu/iacFw6yau7VD2BaZZY2uvz/ZGh5GQZPGQomqxMehTOGhTmnZo1uY4Nz1BLdS8+upNekFMkMb4LUlSTEi8kGtXVrmZF6z5FsEARNJD9Ia4fRcpFEJYYwfdOMHWEjfzkCJi7MEW4WqJnUoSAUKDygQpYKHxjcE2Yz/XUNjsjSxKxsbxBTJLsMMMFUs6Lihj46RFAp2h0pgiYJMiXENSksheiBIGYWkyR2CnFl5qY4uxrqJKxp1xKgSJEAg3RKiU1DB2qhQanBBhCYxR6EyiTIqVgBw6VPIeOU+hyhZyr49IEpSVobUitTISb0TegEoVKrMwUkCaIHeGZMVpjNRIJMZ20MLFWAqTKbQGYySxbxGUFP1SRm6yjGeX0b0+6aiHMDHGcpCMr+NAxGA0rsmwM0hUhDEZStcIxtNFCJ3iqAhLZmjjI3EQRhBol1hJLJGSasjuuOWaTJAJhREGz6QkdwYwWoywZR7P2GRaEQqLGEGBCInGCE0sHGLhE+MQkJK7U9EVCYlnEizGZYBaGIzIcIkwFJB4OCLAAJKMQAQoY8aTYGqElhaB/njI6ZODUlffRiUJxhiOHDmGTBOyMPxxMnYn7qgf/S8Wf1zw6f3bfdJZ2T9UyvduphY/HmTfTRSyNEVnGUkUYbsexckiE/sOMHPgIINul631ddLtNfSwT6ffY3swJDGGSqmIZ9v4nsf8VJlISFS3R3sQvEej409yvPueZ1qTZGMm3U/aGFrDgL3BWGDUdR1KlsWbN5fGyRAz3Hv6JDmhcXXMqbmf42svvsk/+/YzPHHvfZw9MM9DRw5w5PQJ3FIRmff4m1N/iRs3lnj9jUuk/R4dHZP6DqMkwC0WyU9N8eWH7uMHwvCDV97gzY02fr7Aof1T/LWv/CL3HFvg8OF9XNvc5PbKJlvtkD/3S19htlaE7g5mewWVxRyuF2iWPCZqZRr5Gv/hk49xeH6GmbkZTn/qMYqVKhjBWxcvsLh4m//vP/sNDtcc6q6gaWe88OZFLq/t8tzVVazSNBPNKX7xiUeglB9nSYMO3vQ8OpenMDXDd3/0EuFoSJGIOI2QlkWlOcX26joKGHT2+MpPf5GzDzxA6ew5sMYuYkQx9yy9Tbhyi9dur3FxY4uS73J2vkkajwGZSDm4jkOUZjxz/fY7JIG7JVAfBki9+3m5K8DsOzblfI7PnbmHJ+8/zYOnj3Ps/DmkyUBnkK/w4ouv8NLLL7N8ex3bcajYNn/97/8qk75iKm+Bsljqx+OM5uOyb2MgCtm4epU3tlb4laceZ6035NrmHn/7+ddJ4wQlIAM8W1FwFbYRPHnqKH/+8Qf484+c5Btv2VxcXSe5WzMrBJYU7+z+o8LcWUnJsbB+N0r5n77+DN+9vMhba9tM+zYlNA9NTfCpzz7OMM14+e1r/KPf/RbX1rZZ7sXkPY8sMdzc7fD621fZWb9N7dUXcGYOkJuYoXn0Hr7x9LNsLC0xunmDX/rcQ1ROz/Ppk/v5x99/jeXukFy1zqC9R2cUEQQRt6KIvC25srVD5dIy1WqVIwcP0UqgF0RsbqxxxocvzZT4K5/6s/xwZ8Cl7Tbff/VNtjs9wjCk1d/iAZMwXy1y+sEz/PYbV3lpcxe90QPWkAI8+QrnmiWOln0ebtgcOn2Kqfn9PPKlL/PN1y7z+vUllm9eo6yg6ijunywwX/KoF1x0rsjphx7n8YPHOfnYE1x8+SXWb1zjVNFjLTbcGsS8sLjOKEpIMo2lxDtogZDWHcLleOJA/xHZLZn5sX5UFAaUC3lqtSpy+fZ4Ekb8+3kX/7i/Gwvx1yoVHNsmTVN2du8iSR8Oxry7D3k3g+nDQkpJlqbsbW7QnZlDp2OW1d3+TvPhpXmfBHz6X6JP+0n68p8o3s2g4i5Id+f5/2Oy5J594X+i636eZP4pClN76NSQxZIbVgGj8/jRBF0TkUpDgsAf+WSyS1xaB1PATXOUe8dJCjdB5FCmhsJlKGJ2rBFltnBwcc0sIgsZZg4t43LKatBPFYuxQ7vSxRKGnFSEoyKuTKh7kizrk6CJjOCq0yMTAozGmALKOFhJzFykCKwhG7kNMlMCAyPK1Ew6TqxFQE+NCBEE+ESyjcAHDpCTfSQhJo3oJArLCCaFT1tlxCImRTGbFhGpzXomUe46fj3FmZ3i5w5/nn7YZXXYI/dSjXQjQq++zhVnjdjKOOwn+FUbL+dStqtMlifo9CxGbyzRyQkSy0CoKVLCUimr9hJzgSSfSfYy6PsJXQN+7OM1EnwvItvVFPIGYWyWtiwKjLBVxKAEUTqNMBVELNkKzbjRhBrb7mA5XcJ6Bbs/QkUdduoBwqlgqSIT0SaDxNBLFGZxHmP1kKpHLTQMbUGEQV2MUOUhcnZAWA4RCLxgzBHuK0XfsTGz05Rbffat9rlp8gztEbETEzY01u0O9qXxGGq6lOfgTIXFpQAn7VGNNUe/cALiENpdzka/wLO8xu9e+S6PPHo/xw41OX28jjhyCLwyUOQX93+FzTdvsfitC6ibAZS3wN+CdA+KFZha4NwTs9xytvnhC7f57y/msQ/WuP/z+/gvH/kMM83DUDvJ/pPb7K3ssrOacuY/+Y8pTRWAXWAZTAL+fh6qCxamPTy1j5965DSz8zNMLxxEHHwY/Ar+AYN1YZPO0go/+p3/gTmVUbUEUzmXxdZzvLbR4p++vshfvNfmvqki9x79NFABHMZvLYlwLKyZIm8//x2S52Lyok/YSdBK4R5p0N4bobUDw02Onf8sk/edAh58TynIwuwl1NYt/s7rL/DMaxa1ap7Ptu8hSjaJRxHJ2jycEOw6CX/7W8vUyyGeDeHWPtp6gCVH6MptdDePiIv4fozbTFC5mGAZJmJNQUsWew6Hs2kO5Zs89fkK996/n0PH9sPMp0AkQAqcZO3y91l563mSS13K2sZP4L/8l/+cw5bP0VyJcL7JxWCdYFYSUMUeBnjbA+zRkKioCUopG2YDoQXK9igUNaP1FVY6bf6fXzlEO9asDUP+m9/8AU4qqbt5Wjtt6jnBXMXGLzV5/PhBfv7Bkxwr5Ym2Nc/GLZjfJBzahDslxHoJUekjprYot1fIJYK8lCwuHUAqSdGNifZvoocKsdIgY5dtpViMc7z1W29w/sIGf2lvl9KEoiQFZ08UqH7hJFE34/7vnuHXnvsmb6xt8qOrfc75IzJH8cragKkX1pm8sofnXmVmqo63vwGfPsYbzz5H58oW8qUu9/3FA5yrT/OZJ2O+8eJ1Wl3N5/wD3Oz+kNXkFpgKLz/bwZE2e08k5N7epFQtcOzEa9zKLHpRQtzeYla5nD1T4ku/8md5vQUrWxGrz67ywxPX2e52Wf/1hMcfz3FgLsfPPfkY/+NrF3jp2howLqu0jWA2dvncqQnOzOW5Z0LSPHyAowdneOBnv8yFl97k9ts32X57iUICRWFxYN5meqZGdbIINZ/Je77I5OwJfv2nH+Dqc2+wc2WJ8/kCK62Et/f6XJrM2Nv2Ge14qFNbWLsS1RoznxynjO3l2c3dpNeqIuImHoCyMJZPGE4xmXVo6DZLrktBBORJWdzLkCWBM6/YWnbQGeREiN16Bjn9INp6hKDxbfy9EY0+9B2DygvcKsjONkE+ol+FwvUAmTho6YHQDMMc7X4BJteIFOw5DqVNSYohuPM8at8iaeSw2SVMUvqBwOsmKFsTl2Pm1veR6oxdp8VWX+MnfaaCISd/+T7cco3t3RJy6QppGDKcFOgwGucmAnanBCoW2BuQUCefphwMQm6VLQJhsHoe5MflaJHZRtkgtCIIcjiH5+g3m+wNQ3YGtynaZURYZs+OcHXIQpBxwxb0lcJGUKVDwUA1WeCm3KAn++DepCJSFIqhawMDUhIwLmHawOAyKLZQWYyVZSTOBhWtMKHD5cEMMr+M5/TJJfvYMQO6MiaPJNCajBhjFwn0gCiNSVWFRLWQrGOTMqPnMabCkncLXyd42oBdo50peqnDgfZhul6LgdenyAR5IMUwpIbDAJchBRmCLiJNHldLRpkk0B8vpfGJQSkhBP3dHVYzTaMxge/7eJ5HFEZ3Ph8f7JOO2z9qRvODSvY+apufJD5uHx822/pB5/T+GeJx5aJAJylJptFJCpZDvlZnf7mC3jdPPOjTWl0h2Fxn0O/R6vRRjMXMb2/u0A4jYgOVapXRcEAcxyRJ8oHX409CvPucpLwjya5/Eizqx3PR77hKMZ7V7w1GfOe1C7x+Y4lmuczhiQp5keFlEYGxuN0Z4JWr5MsltOuylxrm9trQ3UOJiEKhzGwtR3L8ENevXSdnSaYrRazOFgXfpbZew6pNUBExh6br+Lk8++bn+cyjD3PfvSco+zbR+jKPP3CGiWqV7z/zMv+/f/4bTFeKnJutUsuGtPp93ljZ5uZOl9gI5nybaqlAo15jYX6a5PZ12osZOonob2+wsrHBW6uXyTkSSwkcYfAdh1qpxH/6iz/L61dv8uIrL+NmCUcXZqmXcpR92Hw5Ynlrl+feuECn0yVOM2zXodvaw5KCI4ctzj/6GLatePoPvs43v/csF67d4jPr6+SLLo7nonIFLlx5m1sb23zx/FlioQizlMXNDYIoIskyLDsei7Bq804p1B0K0Ifewbvt37YVWabBGCbqNc4c3Mf+iTqraxv83g9/xDOvvsqJH/xg7AIGdFPJ1s4ue3t7SAWP3n+G+8+e4amtbUw4QsQRkZJ8940rbL1xhWEYv8NG+uCWJEiGQ4yv8FSJ8w8+zGOFPDHwqZdOEgyH6DihlPdotVqsrq2ztdenNQz5zedfJedaLG3skZeC/c06oyRlexgQJGNWzl0h9He3+w9mbNx5Hu407Y2dXX7/+89R8z2ONCo8dWiOlcsXyZWKnNo3x1//K/8J15dX+fZ3f0BDaBzLwnJzPLO4xDAKxwL/+VX8XI5a7XlqZNRJOT9bwZYCq1zh/vOPUbv3IXZaHVaW13jrhR9hZQlPnD/La0ur3N5p8dzSOtUBFHaGXNjqMhyMqFiSLx+e4tSh/TQnJyksHONTwuZskvHk4w/xzaefZfHmDdLNFe6bLHJodpLj950jyeeZvbXGWzcWSdIERwjua1aY9m0m8y7luRlMY4q0NsnUwkEelQ77Jurc1F18UvKWYLZRptKcoNBoUjl+L35jithoht0eOknIjOF3315hpR+MnTXjGG3MGJ+8C0h9yD34sDfN+9vOGFwZ/+7aNlP1KvPTTR575GF2Oj1urqy/U87HHcbsv68QYgwY5XwXYzR7re7H6EPd3W78nbXW77j1fVh5+t13b5al7wGgtdbja6XNHwK2Pki8/P3H/0B323f19e//7IOYVu//Ph8WH9ke7m57t7TwHXX3jy4JhB+DU3/UcFOHjVuXCawOZ7/0CL7j4lgCBwtHjLBVl7YQ2FJRRFG1IRIBIxkQZh7a6pPYXUIJIrOwYhdlCYxM8ayUzFRRIkHJNkaAbYeURQ/0JNqOwe4yi0cqMoZWAH5EimQgJKn0cbRFVRfQukUsIBM2trOFIKJHn0jlMcLgU2OQCZQJqbJGizqxlIxUhJGSvFbktU9bK6SRVGLByAnG2kjJBD0rYiRjBkKMxb+lARnStQMUNsoqY8VVstSwbjJkPItglv2lhPKDLdSgR393jonbI3rdPs8OrmOWEggF2tpm1UQErk3t/k8z6l4h7rVR2wPCTCK0wTUuQykIJfS7MZkE5UO+HxMMNGlssGOXtpMH6VIUoMzYgUm4AqWHWCJF2DFxZtDBmL0oRQxCI5w2mXERYYGZvYh+VTHyXXZ3p0nSgJSIfHMLE2XoCHqOQOsUERlWrP0cz+pYI5+5zgF2RgP6WYCoKFSSopIU9tr0R5IBJUzDJlNgRExud2z4YoQhnUjppD1u7wT86vc0lXqD+sQET722h++2wdom1HOsbQrKc4/jzhZImordYkbd7KCGbRhYULep7M9z5KcPs3h5CW9L0qj4OLsdlN/BagxhxsaOoVw9wFfuh8bJWe7/zDlqjTMIV2DEi0yfeQRVWKXTep4f/ta3qTRsDh/rU7NShrsxNy8MeOH5FpiMJ07bTB70qO2rImcPQ3Yb2m9j+l2SeI+l7T2++fQFbD/GEVBMPQ5aNvVmif/HL36e5Zd2uPjDdXB+h+npCYoln2JN0dlos7u9w7XBOv3BCB1qioHD+o01jKM5PGlx8FP3YycWN776La58/W02Xu9y9mwHUbMRRQeaNRY7y6wHQ5585HGElxLY8LvrLkEWIeMuh7oVdtZdtm2NTUA4zIgFGNMnJB2/ghyBG4RYJgEs0r6CoWQuTgmFoOv6PDVzgJPH5pndV2Mj3mH76Tdxv/Uyh448h5N4qMhlFE7Q6b9Nf7iEmyuz/+xJZo4dZf+fOkqhnVAYZPSbGbuvJ6y8ts3N1R5OEOPFMe08pDqHbOeYMD0Gmcsg83AWN7BrGapR5OCf+3mMW+B4DAem54niHhkROccjbPfpb7QY9VNGIuUbb9+i4vdobe8xV+rx6OkD3AoEP1rVWKtd8lFAeQOYkiSRZLdrIUwHbTt0XRfZsilGioKwGdouma3B38FyYm61d/kff+t1Jksh90xW+JkTRyj+6DZuqcTkuYP84sm/zINLy9z/3afZpzx8y8Xycnz17UU6wwiVOezLGepVl/mnn8NL81S14sCBAoWujSo0qT98liePaOJ+F3vnMrXv5Mi04N4vPsDlAzssLvf4tddWOD2Vp1HMc2U1pr89ouQIvvhog9yxOZypScT0KQ5OOEwdEJxcGFF99rfYvHkV++GE0wfrzO6rknvgEH9qv+bI9SI3OzcINzVOYPFgrcBMycO3cvjzJaz9VcRsDTF5kv2PKKr7y6z0IupuRimnyE9M4i+UENMVaNwH5QLa7DAMNjHhkHSU8lubK7y50+LKXpfdDRcnTGlkA1pLNUwWIe7waIIgYBRlGP9On4sgRpDP7jjQTW8zkAmRhsKOjU59ugictE/Wh34kmGzC/oU5jhxZ4NGFGQbCZX3UotjTDK0CK/MlvM11SAIytwWhpJAqcmGKUD4mNJjVkDi1MSbF6ABnZCHv9MUBGqU1uTTBzzUwxiLtS/qxTZbJsSi5m2BpQXnboVVvoVNgKBCqTuxqdmsxFDyiNGRpeRM32iQXR2RtG1snZBnEcQ7lR2iliSsRWuygI4uw1UB0d/HQlGKHVrlP5mT4uZgQSDMBUUywVSJyy/ijCiouIKSDkiOqsQ1k3Pb62NKliU0udfCzMhpY8vuM4hIyK1CUA0J7XL1jTImRZUBE+KnAVgMkI/xUEGQ+qdbsySECG0tosvwGqQOoIqNUYEuHIhb5oEiiEkKZoTJJKlwSYaHNCCUspCyxpxMkMdBFZHUiPUSamP2Rzy6GARqdX0HYGcoSpFqS6YQ0S5BWQiAkfVPGxWNceR7gEmMrDfLjBbI/MSglpSAaDkmThNbuDvVGE7dc/nGi9k6W8N6B20eRGz6Oav9x6/27iI8TUn03Y+rud810htYZWZpiOTaW7ZL3PCiViYMRiREkSmK12+zpTUwSkWUpwyhmGCUYKal4LkkyFpaO4/hPJCD1TrwbqNN6rKfEj+/7x5/73fK/H/+ltSHNEm6tb7Oy08ZzXZbW8/hkeFkClkNsOSS2Tz+O2R4MsXbbzPg2eRNix13sqWmiZEzl3Gq18ASoKGS4fpucLWjuFHFnh/T7AY1GnYkpj/2zs9wzN4XvOmRxQHdznUKpQsG10HHAsy+8RLWQIz6+n0ndZ6vT44eL26TSoV4tcrhZQScRvX6XvU6H4foyyWhAGo3Y2tml1R+w02qNgQ4psT2PY5NV9hULfPaBs9xcWuT2xibfee55drf2M1kr0qy4bOx02Gr3afd6tDodMgMlfxqUi1IS23Y4duwIed/lhW9/k4vXbnDt9hpFC4rFsfNMvjnBtaUVtto9jsxOYZeqjLSmPxrS3W3Ri2NkokEm44T0HZBQvGPx/uFNQJDP5UjiGIng6NwUR+cmmayUuHj1OjthgNQpuxtrpNoQG0MinLF2EJq8VDTqNU4dPciBQ/MEgyHBcEgfzZXNPRzrGsOPK6UTEEchSZxDG8HsRJOJyQb5gkdVjh3ykiSjaEtuLC4h4pCKl2cUBLSGQwYjTZYmTFVK3LNvhk4QIrZbbHb7Y5D53UjIJ4i7IMhgFHBtaYW865IGI45UizjZiNm5WY4vHObAgcNMNutsvX2Z/Y7AdVx0ocxLt1dZH6XEmcHp7OAIQ0Hd5qfvWWC2XuJopYSbz2GVKkwdOUZjZsT25hZxq8Whco6SLfmps0exci7+SoHrrQiVKxIKwdurmzjBkHzR41hpHzONKqWJCWg0mc3nmTKC6XKB62+9RbzloYsO+2pF9k/UObIwz7lBhLRthp0WURTiYDhYydPIuVSLOQrNCWS5RpovkjkuOdemkXNQZQ9LJzgW1MpFCpNT5KfnKcwdoDUYsbu7zvWlFTZ322z1Rry6vstGb0g7iO64zr0XHDDv/Mc7gDYf0lYNjMVc3816FQIpQEnBVKXI0X0znDp2mE8/dD9vvH2DxbWNT37D/1cOIQXKkiAgTTKGwyHG/GSig/pOGe6HMY3uLtf6x3pwAkAbjDbv0Vj6uPfBR33+UQDWR53Xh23zSeOd9vER5/B+cOzjDFc+aajUobvVome6TN93mGa9ilsoIjOBJVJsAlAKB5uCEfgqxoiUSBhGWYKUGqESjJAYI8eApJYoDEobDC5GaDJSQimRIsNWGVHaJBYJwhpQzDxCIxhIg1IJxkgCYZEJCylcFB7SZMg7zBJbDdBkhEaQyBQLhYsHOkMYjSUi2ihCJLEQeAhcoygZm8BIhDG4JiEyCcJI3MwGt0siYzIz/q6WEYAmVkMsJK7wsLIiOoNA9rF0HhubgmPwpiNMptHVaUpmgNlx6G2tk21GZKFmZCd0+kNMvoBdP0A+2YDhiGiUktyZLVN4ZCIbOy4NDRQEUgncDEYhJJnASiVxptBCUVIGrSVaCGwDDhmWjMmsATIzmFSglIcwCmMkQoUY5aClpBgoohyMLEMw8tAiAyvBcgfoxEFjEeUkIkwRUUbHdukrjxAXzxRQWUqWpghlY2mDncXowZA4zROTw3YytJ2iZYZsA8aglcY4mjDJaA1jVvvrqO0Ifz2jcHuHXGEPitsEJiJOJ4hzU7TSASpIEd0Mt5XhJiC7miwtkymDVbLZbXXwtcEJcrC0g7QUqtImaRfp9WO8xiSPTNo0Dk5wqFhEZjbJqIMY3sCy7sVyPAxDLr38Gn5BEw1iJh2b3kbMxR/16AeKaiPP1HQFmYWMhl067S50rmKGLei26LVadDojVlf3CP0QISS5NE9tqsxCIcdT50/xm6+8yMbGHhdfeIHWviaVus/UlM1gvUO3PyLMIobDEYSCImW08EAZ7JzPxLH9uNph6Rtw89Ia4moLjx5u3cWp+RSyfWy1NumEIYfn53Bmc3QdwYvXttnqWyRxhh/2Wd3J2JMaW8ZkCSRaACGpJcGSSGMhrRTlZEijyMJxWex0w2NHazLL5sGFORaO1ClMe1y5EhGu7kG7jRytkbUtsq6L6+0jtbbJnA666eA1fKaOzTF/Xw6xE6BbIf1ij4mdZUqvKawoQiUGpRWoFJFYELk4Dlh6XLMcbfZJRAlRElTnZ/GKNdAWh711BvGAfpYwUVFs3NjmxqvLxKOIUZSyG0WkowGkMQeaDg8d3kdpmLEquyRhB6eXketLRnVJIgSDQIAcYaQmkRbOQOKkFiVhEUtFomKQCbiaVjBiZWWHKadDND/kcKVOTgmqCw6FEw1OVxaYqjXxrl5iMu9ieS5prsD/fGWRpW5EEmq67pBGOyPcXOfeY2epNirMTNvgFMBp4M+f4OCUJNlbo9d+nQOej8rlOHr/AogyWWWPwVZIWnAIlWJrqY/a7pKr2Ezn5hC1MtQbUJyhik85hcgb0nZLVJRHNq+YniwzMV3HOzfNfYMe9ZKmuLjJSGrsvuTElEPO9ykUC3jNKqpZxNRypMbC9i0KZYepUo5qLqFQUNgTJcR0FWYaUJsh6IUMd7dYvLnM7voe27sDntvc5a3WDovdHmaQx8XgoHE6FrgJ2tGITGDSGJ0l2LFB6wwtkjt0iQxLZ1jOgNhSBDhMMC4PC7GRmcYSGZ7S7J/2OXtyjvsfPsOnDx3h6vI2O2/dwk4hdRQD3yOXSUxqSE2MkAKZCpxIol0Lk6aYIAXPAmXA1UgcLJFhqWz8HAmNrTJsqcBYiESgYnlnLCQwIkOlAjW06dVjEAIbhWtsjANJQzDIbNJhxO7mJmQDbG0wI3s8LsgkVuJghRrjpKRWhlQDTOYzNCVM2MEiw89sLBFgVIZRGVrfKfMzKaI/QgYBdiqR2gVjY+QIR4/5jW03pobC0xa5bLxOKjRDa4iJfCxtYwuPIRGJ0CggRiKEwkWiZIIEPO2QakVmBIESBBocobGdEamyMcIikhqwsY3ATn0iqYlI8UgBMy6TNCkWFso4BCbAkILQ+LpGZlJCA1PaZShSQpGQun2MtEG4JCIlMynaJBiREAmPyDh4SISJ0CIiJRvfNz5+vPqJQSnuCE5kYcil557lwD2nWDh5mpzvo5OENEneGezfITS/e8tPfpQ/oeDLux36PsrR767LmBACJQRpkpImCVEQoGwbZTvMnzrDwpl7MVlK0OsRDXokoyFhe48fPPccWzs7JEmE6zhIIQhGo3/H3/aPFmmaMgxDOqMhUsg7/8baWHdLaz5J3F1PSTnWMMo0g8GQy4PBe9azLIVt29xaWSPneZSLBXYePUdDZuTDLu3Bcyz1Ai62Rtxzzz3kpKCztskfvHyNMI7wbMl65/ssHDnCk194iq987lO01tf4xje/yfSVy/iWxNMhizeus97ucW2nz63lDTpBxL998fX3yB7/jb/0K9x3YJYzdZf/+h/8c95e2WQ3NURBTJppogyq0xNM1yr82U89wNraJm4ux6lz53j42D7mm1UWZib5uaXj/PANzd/9zqt89bULCAQFYN9MkwOzk3z5kXM8/8rrCKH4c1/+AqcPTFMt+MRJSP7AAdr9PkfrBZ65vsrljTbfff0iCeA4Fsemq1SLJUr5PHMq4s9+5UmOHj3Mmy+/yD/+6h/wzBsXubHdfuf6vgM4fzQOhAFsy+L0kSNkYUDREvy1r3yBFy9d4bVLb7K72+Kx0/dw4sA8P7xygyvLa2x1+/zpJ59gNmeRI+U3fvg6r1y7Qb3g8dDJg0xU8liTJVbbHSq+jZIfcx53AIm9MGZ9FNEYhIiVy5i2Q6zgTK2JOLCArk/z5gsv0BoGbLT7/NXPP0Eh55KgeebNt+mmhtD2ePjeU+zutLhw5QbPXLnGym6bld3WO5o8P0mMtdYsRknCq7fXee32Op86vsCnRYGDP1Wj0x3Q2d2lMdjlwXOnmZqfo3rsKDP1IktbbW70EnY7LYJel3BjlV968BQLc1OMigXcxjROpY5EcfXGDV5//U3+0T/55/wfHj3FuWMLzO6b4iuHFvh5YfO/+9+4ZEJwbXmF//v/8I95aqHBfZNl7j08R0cpWsMAezgiHQ7Z3d3j61/9t1x/+wphv8fhmQaN+QMU5w7Qd0ucOXmMhdkJ7lExWTRiFIRcWNvh8IkjLOybw83ncKemGbk5nv/hi7zy3W/TunWdnz84Qag1wnGoHSxTP3CY0r6D3Nze4V/93jf4zvMv8uKVW+OEezxGRkmJpdRdr8ef+PrfjbulfeZdbnWe61HybJoFn1/61APce+4sp++7D6TLzRuLDFqdH4MR/15ZUgJLWfiex85emzAM6fb6KKX+SO6CHxlGvNOJv4cJbMbA1Pi+fLSG1Efv/z1f7M6yO2YB7xz+vaLyHyrO/sccL/yYp/sBp/kTlCR+kggCBwIXsWfx/L/4Le5/4gxTT5wnMxYDkSNRk0wzpJT5FLMcG3afnnDoizqJaDGRWcwkHiNXkVkRQmygjYdtBF7io0VAoBR9OUXbinDJyKHZtUOMGM+IpxnEqUcsfIqRIpRD2u4eStoMZUBiDWhbII0hn40BKdIKXrSfoRWj1QhlDbG0R2p8tkQVgFwW0DSaUCgsJELCBBaBStkorFGJx3oUOfcGFZUS4jMysxxJXRwUfS2InEUkMcVwiMgKaCGYYcS2M6AvUroMmRgdJs8cjWICX+iQExG/uP4g1aiKE2Vk7av8/a99jStrHXqLISeTWUSc55vBOq4bIC1DKKrMxHuUsgQnkixLw9CWeKKGn0YIHeMEAUJrMssiGle3II1PcyfEp4yQeTbIsIXBvnuDkxykLsgBNANEpU+yVkL2Y5zBDjiQNhKyQka07OJHPg4ewyN5ws4OUa+FyF9htVnm1bkDXD+ySbwsEVtF6Fjk/ZhKPmS4ZTDGIRWa6fUV+k1DZ1LQn4FcO6XQTmHZxwjB3ZFjNmwxGLb4p+uQqIRYReSSGFm6iqin1K9opv0Sh+tNfvqx49Rdi6LO2NvtszdI2eprpvZNkWoYXt/j1YuvMkwCEmVYXcyYe/AIj//ln+Kh+z9N//YmL/zTZ5hvXCAnwU0TVtvP0hrF7PUzfvjW91jtBnS+/m69PsF/9V/9DOeO7+NoZYrf+y/+ITdvr3Irn2FWDZmGtGiYrMzQrFX5m194iG40xM55TB2a59SnpyhN1RGFBT716E3eemWL/+5rz3Aj0wghOen7nD90iMMzEzx6zyGubG8gcjaPf/48/uF5VDWHyEUg9zHa6lGbKvGPX7/Mi2s7RNcjDuwI9rt5vvTlk+R8gSsUrs44/pn/LROnj/AzW7/Fr369x7Ovp1xZXyS+bKMDSbEZMho5xLGF78cklTzadnGWbdKpAWYqYGExpqUsRKXA/X/1FzC3b5Pv9PiVLzzIjTdvcf0H1+iv7HH/kQUOn3yIy7rD01cvcuXaKv/FX3mUij2NTAY8c+F7VF6oUN2G+c83EZUCYqZJiRJZXGf3Wh5NyIAKPYrM9G8QWAEDL2MNC0dElNMBr6/kKFQEJysxZu/bMPDAKFgokldnyXMSRr9NeF3T3YPPff5BPM9g0hFXn19nqpZy6oThvscf4JFWmyeK13nxaMaFa22e/2GL0c0cphAjGj1ETqCGGd52zGhk4+AgpMdEnNKNFaNehf7EHlg2slmhO4j4wU6b7zz7Hf7qZz7Lw3MzfKZeBKEQSYrdG7L/zBSFQzNw+jj/bTlPa73HUgDDuRFZL0T/qMN9j52kMVuCRgqHjkN+GkwOtp5m68VX+Opf+w1+/j96kLmH9iNmpzk6c4AjP5PnF/5Pswh6bC+u8rX/9qvsv7fG1EwO7q1AT0E8gNolEIpgt8PFX/sm7eVLmOGQSv4AhZkc3sEKUOX4Qwc5dKjMqd/LYZU1URDy5vBtDj8+weyBWchyMN8k8yy2f/ib3Hj5OXrryzw0d5BeP6UztFjYZ0P5MNTmId3hwv/8Cq985yJ/5/nnSbIMowWjwMG2UzzbAT9llJQZpj4LLLGb13QKAm/PoyIiCiYlWzUM7AFDd1wFFQMxHvbiEFmoEReqrOVv4qQKO/NI4kMcqQ25f/+Azz71EIfPn+fg+QdB1Nm5fpPLbw2JmxLZHeAsx2S2Q5oVSeIKHFoi6Eq2N/PkSHDRuHdyRVFykPUSCQm5aMjkoMP60CHMQ78i6G+30KZInKtRqiZImRAKmL7hEYU2O7iwDMpKEU7A/t4OyneIZ0r88JJPthcT3tpjKDyk0hTDkF2mEMqhkYPcpk0qEvacANcJSdOEZTPAIyN/R4txKjAMYsNaqnEGTWTqkJmYuRMtpg4ZlLuIkHNkePRlQGT3MDpEpxYDpYixyHSJfqJBpExZFqF/m9TEhGETJSJcGZF5O5Dm0alHalXpkJKYFDsdoQCJQtKkJ1JcrTmQ2vRll1j2CeyUflonTn1iJyG0IFMCy+pTMgNsk4CYRmoHkwm6psNQZmgpOZYV2bQUHeExDG1KRpM3go4sEGpFjCAUW1hKopSkhcNYATehFPlkliRWkl1snKyEl5U/dpz0E4BSvFPGkIYB2yu3SdOME/c/gCUllqVIM/2O/tK7ZyTfu5N3/nvvfj/oWD/puf2vGB8FRP3hAet4qKsx7y5FHydaaUowHKKUGoNXrotn1/ErNeozc9yPZHN1hdu3biK0QWj9Tmnk+497Nxn5E6E7JQQgERiEycC8yyKcH7eDT1qG+E7JyVjUY4yov7vd3MkmkiQlwRCnGcMw4l8//wqeMFhZQpQkuLkc5VqDzz/yAGXPJRwNubG9R3sQIG2HJx4/xJFDCzzwwFlma0VqYgLn4Xv59W88zUarQy9M0cGQyWqZx86c4DMP3cvi5i7fePEtJicnmW40OLGwjy8/fp6ZWpGKrTm2f5ZBnLC+1qE+WcVWCrTmz3zpsyzMTtGs5PgH//J3iDPNQqXCvpxNPuhy9bnLrK6sstcbog08fOoeFmanOXNkgXkrplHwOHD4EH7OY3lzh9/5zvcI7jvObDlHZ2+dwtsTDKOU1b0ujXyOh49U+NwD99Ib9lESzh6aJ1etM4pivvkH3+J7Tz/Ny6++xjdffp2LN5fY6g5QUv6h9vShDIW7990YLKVY2L8PV4DUKf/qu89xdXWT9d02jXKJB44d5LP3n+KRA1Wu3JxgfbfFuYdPsbi8ytXF2+z2h3zvzctcW1nn3/yggK0spJQMopirG9uMouQj281d0NN3LAya9nDA/+ff/D55W+JZgryfo95s0pic5PqtJTSSk/vmcKXBtwRlP8enH76PSNpE0uaFyze4emuZi5ev88CBGeZLed60FEt7beJMo7ljRPAJw5gfGxcAXF7bZmDeYDfOkMJQTUYcVlAVCW40oLu+zvEHHmQqMTS39vi7v/ob7K2vcUBlbK2vkBch+ekpBlhE7R7ta4v89tPPsbO+zqf3Nzk8W6dWKxHEhsjxwctTyxX4ne/+gJffvMzq2iaqNo1NnvXuEOHVQFnoIOCtt6+ysbJMtr3K6ZKDX5ug3GwyNTNNeWaaUmOC577/LFevXiNcWuVks8iBapHG1BSHjh2mPjVFVijTjTUrW23+6W//Pr3NNeQo4PtrnbGrnmOzcWudt4JXMW9c49tvXOHtW8usbm0D8s574sfs23cVb/34t49hzwgxFuW/CypIIXAsi+MTNQo5H8exeXNpjTRN2e0P+YPXrnBhY4/51y4hjWB5t0uSZXdK9/44cNgfP6SUCClBSMIgJIrvWG5/CFjzYXHXwc91XaIoIsuycb90971sxm9rrTOi0ZAsHesa3gVv3g1GvX+/7564+Ugm1Hvs7hgf0/xYs+kdINx8dInfBzGqP4jZ/LH94ydkdP1x+9kZkY5lSzXsrZW5/Ywivj3k2J85TM6BYhozQDAUMZt2jEUPg40yOVQ0j0EzENl4VCHGeaKrxyWIQww5kR+zptKMuhLEZAxEgKVjBC5CNAmtDghJXngMREgqMixpGIkerpHkhA34SDO2go6IcTCUrR2GShDJlBhwrRRJj5Q2ri4jjGGkYUJUEQj6MsNIm0T72MMaI6tHIG06VClogyM0AT22rQRlFJkuUY4LIFK2ZAKiDUKCFBRSSd5IBlKR1xm2iGkRUusKHHwiK8duIUYCleJxPv+ZlOO3Vvn2M5dJqkNsnSCwSVQfW6ZMhzFOWRD6PltWjVHaQschbSckcPOkKo/QGl9rVBzTs20QAo1g5DgMPYlUUOkn9IxHrGwmpvqMeiOCIMWsFaGQop2YDjFp5oN2SVzQ8RAzHGGFEaFKCZyAWkujQo3IXBwSJne7HLy2wZlVl/VRwI4TghQkaUxHO6QOpG6M9vbYc0HEPvnVPHFZYbwBQaWPHER4BYlfkrA9wUBouirGMSGWC1ZBwi5YfYM/yuhhE49SWoMWu+Z1chm4Q8NGPqUxN8nR00d47PGTFFGYTsim7jIKRkhXcv7xJs0Th9h/4j48v4Sayzj55RNc+P1vs73WYWM7gWJEo97g2NGT/GenGyzfGvL813doHCjQnChweKHJ2Qcep9osIWxN9fRBSplNdCnk0HkHvwhZkvDgU4/TnG5SLHt8/d/8HjLpcb56Gq9oIZMevPQi7ZVN2q0RIoSfPX+OfUemeeCRGeqhS8HL0zg0TzJ9ld7aHi//zkuceaxNsemxNVyn6k2RDjWD7YTzh6Y4cXyGsw/sJ10b4iE4dX4aVZ8gHiVc/We/z9L3v8bihTqvbL3KD17a5NZSDG2DCFPsDOyuGCf10hD7MTIWWEFCpCVoC6Nz7FopsRAUpGS2XMA/Mondc3nuDy5w4dYSK3s7HDwzw8ITBzh49iD1cJXDDZve4iFOfnaBrdsrLF9d59KlmO0bb3Px5R3Kz3hsF4rseDnsqMfOpTWsZISwBVKNECJlL5kk1ZDGdybURYj2R5iDeWLLYe96xj/8B9+jVDDU85CPHQr5fZRKh+h0XgMUc7NFrDREug5mJs9s/QSZFqQGrt9e48ZbG7z1/WXOnJ+mUquTv6/HDy7cph9Dul0aGy/cea+6bgpa08sgoE5oEoxJcQJ7bF6SBKS5CO1JjFXl2y/d4NpaxuubReamYhqDDvNeCbsqEXaAWdugct9nyJ2RVNId/t9/73cJNnd4qmZDt43wY8gr2Fkh2dtj2L3Oj15+kcHaFmc+dZzC/gai7AMxQhbu6OPluPr2K1x4/Qq/8coyf+Oxg8xX87ASQzOFUgoMuH3xNu3FbdJul4O1CvmJGrY/R2lhAjFXB+pcv3aT3aUVkp1FDpdnaDTLnGvcS/XEAqLZBFMjVSG76y3+wT94nm17C2FnyFsxllZYjmC4soXsvkYkLvHKCxd5a6nFrY0u/igg9Q1hTuFM1NCd/z9z/x1rW5bfd2KfFXY6+Zx7br4v56rq6lBdHRiaQRRbpChRaSxLY0Fj/ykLsA3YnrGBGf1lGDAMjIGx7BkNZkQYGI2pAEKjQIsUQ1OdQ3WFrqr36r168eZw8tlxBf9x7nv1qroiSZFawMU55+609l5rr/Bd3+/3Z6nmhiCYoXSKVzn72uGLGvUiwfmMaeCZBY7QRBgpkXhaVUWhFLmUaATSSBom4peuXCPuaKgpfnB7H6YZb92uiLNb3NnPWDl8SP9Onf1j6PuK/LiHK0YkLqVmApybU/mM6YnAGQGRoWMqLJ48ishLjZsJPJbAzymUZC9eJRsbfFoSeEGZt0jKkH5VUog2ochoiRm58OT1EsKC/gSsdkzrliMUQVxHtlcRgwnGTMldSAuLQTOij2nOUAJyE1D3BTgo8hBdFkTK0GrOmTqJCxtkWxsUxzOKPCVSA5TKcSoHXXBYGuRMcH1SZ7Y8pyYd62ZKJWJKuWDMKqNQTiO8RSuPFSUDcUi7CghczI5Q1G2d0McUqoaVGicCUhsjGRH5CscSUo6BHKcOWS7rNG1EKTxx1UUaR6bGCDkn1JZOVSeVA0o1I/FNPIoSR2RAUyKFI9EO4WrgYhq2RswIpTL2AvXEXdOhqZc1Ojbkfq1i1Ud0bMhAC0ILsYW0rFFSUqqAyM8IC4VOP3pR/xOBUoskcNYwGw0x1nLm6lUa9TpRoLGuOqX3L0CEx4PZpw59V3q/AfVHDbA/LqDxSQeQH1dK+FHpnXt+Z6X3yTlOV+kra7FSItSC6aOiEK0UtTjm7KUrJEmN0fEx6XRCVdqP5b/12FvkT5pp9rTXlvceJQSxkvTrCTOtSSsD3lIZS2Xcgrz3dNl8zPw+ZsI8DfJ5f+p14v2CjVSWvPogfbKvBy5sJJzt9ri2uUankZDmBc9cOs/RaEpuJS88c4NLZ9e52m8RV3NCZbm42uFgf4+b2wfspY7L/S4X6w2ev3SGrdUlbj3a4/7DXfqrq1zc2uDnXvgU5zs1kmCRqUYtohZHlF5wZmOdbj0h9pavXDvP2c01dD2m120zmSwkapOBYFrOuPnaq7y9N+FollFPIrb6Szx34Ry//DM/yfJkl5owBN0Wz127hA8j/s3XvsNaotipR4wOH1BvdagQHM5yEh2w3unwc597nvl8jBaWZ7dW0N0+e6MJ/yyd8/KP3qBA8ns/eot5tvCUUlI+kaJ+3KSEIAoDljodpHcU2ZyXH+ywO5gwzUqWmy2accBKI2JtpUkr73CcSM6v99jZ2eZgPF0AA4MR2XTKvQcewekkWQWMKoN1H50j7z2xVjSTmGYt4bu37uKcRQlPKwzY7C9xdnWZB4eHnN/Y5Oq1VWLpiYUj0YLW8jKVjkiF5td/5xvcebTDo8Mjvnhpi3YSsdSoczybk5YVpX0nApl4qlJ+nAhjAEfTOfMHuwznORGWy42Arc0WrirxRU6Zzune2EBZyd4sY5rlDKYpvURya/eQzJQsGU8xKJlZwaPBhJdffR2Vz/nK5SXaSYhSkiIvyBPwFkxV8tb9h9y6e4+qKJhkOYfTOW/unxDLJqoQ+NTy2ps3OdrepjefsN6t063XEI06tVYLXW9Qec+9nUNevf0ATk5YjhX1OCTp1jBCMrcOi+RkPOFw/4iD7UfkeY5wnlcHc7SSBEHASXiEPsnIveC3vvca86KgNA6p9BM/LuDH6uLTbdxH9henn4GSJIGmGUXcWO3RaTeJkoTjyZx5WVFZy/bRgCzNGB4eLd4HHWFUdFq+f/oM3gWmKaiMwZqP1ub/+PHiFJSSRFGEMeYDPKk8zlryLF1IyK39cT+lp5vw97CaPm5eYCH3fp9TftiBp9d8fNDpqurT2m/eH0D6MMDs/d/bd//vvYtDnzTFkcHbhbQ/mjaY3i0pTgas/zlPJD2Rqph5QSEtlbR0ncW7EOUDhO3gREWuCvA5CIlH4aXBCYfBIl1I6D3OFdTlQuZpMWgrEWikrGP04SL6pbAUQY73koiIGbOFv5NfBH8ITj/n3hPgiWVOKBQGT+ElkZBISpQYEfsQjyL1UPMRVngykYEIcT5C2JhKp1g8jpg6IH0FvmSupkgEwgZ0rQYJ8yBFeoEQEoEkZLHcFSERwmIpSclZyjQaDTpiFqV45QhlnwvXr9FK6nzre3fwbkplSghqOOkAS+IqTOQpa5JMRTCVSOdJQ4fREi8DXKLQmSWsHFJrrBd4JEXkMZFDKkNz7sFonNfEiaXISyhATCQouVjA9QbnBcIHKO/xpca7AIyjCg0mLJFlSGgceImqoJkVrMxnXKdGXFMEjRLpciojqCqF1RIRlchaRhVKwlwTTENsW+N1RRUUaOuQEoIaIBfG8opF/dVCoKUk8woKgTSQ1yWpswyqlMHdAarwyFRwsAmf3uzw3Gab5UtLtLXGTSs23r5ENp2hRMm1qxdob23RrHWgzNGBJTrT5hujIx7tHnJrz7F1ucZKPWD9Qp/NSy12V2bYH8X0ztXYOtflxc9dwDT6gMLaGVGviW61yKaweXWD3lqIm5c88/nz9NZ7+FiR/I4iP8qZj+ZMjisyW2C+v8O9B0P2Rxm9pM6n1jd45vplvvzV5xD3xmAEbHZYZRPh4c3fuEmrAbWu4tHkIb1wF2lDsrFjs96gsdbkL/zk8wwOppiqYmUzQaxvMh5n/KjKuPv6a5yIgN8+3OPe2yWTE0PXg/DghSAoBETgtMMKkKZCVA5LciqdU8yVpyahEwg6sSTUEc6EPNrZZed4xFGacS2AsBWQ9BNqqWLzfBeZNFBnmpwcwDjNmE81TGcUo4zonudho8FOUqeRTZHZHB+X4CKkqPDCkJkVpPAo4SixCKmQOqDZatCo1YkIeeWlfZJoTq+e000j+p0hK/1jDg/vs3p2lY3n+khRgVKIOKS93AEVYp3k+6+8wYODQ3YOxzwzWaIdxVzfFLx1mKBPJJOBo0QgtEcGoAOHdI5UlMxkiLFAWSCr0zapqBgniwmxMAlvHR1zMJTsTW9x/fwRN0I47+oI6YAKkWfEZ8+jhYZBxsm2YbSdc1QzbO8dkhY1hImRs5zCCo72cm6+cpegMHzuwjJxI1oYg+YlhCwAk3zO/vYuOw932J8VZKOK4rBgoIaUpoavHIGc8ehH9xg/OqKVpSwtL8ZQJqqjuw18M8HOLIc7Ux7ePSHf2adJAxVGhHGNXChKJ1AixEyGjA+G7D4ccLJqcc2AV04yYhkRxrD96BDph+RTw+/+65e4az0nHtrWAgIrPVEC5UxgvET7AHAgDZPYU8s0UR5SBSmVAqMU1sUI4ZBYAueo5IIO0I40Yaxp1AJ+YqNPbT3CdQWF3edoRzPa0xw/GGN6j5h1Zwy/IyjiHrK+RJklWJMShDmJVFhvwBn0XOOEB+0Ic0+hJJXSyEIgC4ugRLoKE4cUOkQajyRAek8lNMJ5krQgtzFSWiLtyZRbSBIbFeFcY4RHKkslY7yKCaIaiCmGGZVTJL6k8JKUOoQTBA5TSioqKi+xLsLZhc1DLTSkuYIwhLU1iuMBVaUIxBSUwUsLQc7MCmYpuJHCVBXOKxJX4WnghSKmxDqFcBrpHEJ6nDTkpLRcB+1iIEB4tSCmyJgAj0RSeIj9IiJeKSQKxaJ1L4iA2Aty6RAuRnmJkpNF9FgJMXWMKPAiRdkOpZRYsYiWK/F44RAaAqGRLkJ5gfIC6T2lLPBoPApVhWgXkrgAJwKUD0h8SOgk2juUh8prjBc4L4j9HOks+PIjx0l/CFDKI5XCFjmzIuf1736T89euc+HaMyjrTg1R/RMJ20d5Mv2Hmj4u+PVJ7su7xVqzkPJUBmExzmOKklJAOp3RWlmnu7bB5tY6v/ev/iX37txGKHF67Ptf/0+bKSUAvKO0jkYUcWl5hb9wfp1jIzkyHjMb8vDgmPsHJ+zOMoxf+JWoD2PUvU96lyz0MYmCBSjyZLLy1Ip6FIZcWl/lq597Fj06RBUR/Tjif/cf/2V2Dk547c07xJGEwSGz6Taz8R7WWwo0sRK063WstPznf/Mv89y5VbZWYkRV0VcrJL/8FX7/zUdEVU6vGPHdf/rbVEVGVKvx6q373DkYczyZ8Td+9if40qUznA0tw3u3sNNtonOX+Gs/8wW+d+sef++//u9YbQQIPMOsZGAk9Uadn/vMNabjAXsHB1xa3yAb7zE/GTLf3uHaT3+FxnKf3/rt3+cffusVdkdTOGXlteKYz184gykLOraiWa/xqbNLtGQB91/DFYdMphW+0eL3bt1nZzh+Uo8eG5B/dIGLU9PjhVR1pVVnvdsi1oJX37jN9vYOL5xZY6PXYzRP+eGdh/zmv/1dDn/0A+JySiuKaDca5HvbvP1wl5cfHXKpU+fFjSWeW+kwrhYm7lEtJlk/w++89hb/9uWbFNPZafl+AEgL9GsJf/a5G/ylL3yW/+p/+k1uHxzzaDjFNzuEugE2ZG9acsmWXK05NhuKQFQwOaEoDVMZsmsVt964yWg8pdNu8Pd/99s04ojNpTbPn11nlhfsDycczNKFIfwnSI/fVa0URVny9qNF5JWjWkRalCwtdXkmbHDhyjrD2YxX7jzgv/5vf42VOILVNX739tt8+2RKAIRe4EOJ9ZBVji+vtbnajViWOUcHB6RFRdsHxCgOK88/f+k2B3cf0HWWL1w7y7++v88/eXOHdngTpwKc1NggpMoyelrwVy4uESqNlpKjoqLtBS4r+P7Xvs6D27fZ393n5Z1DvrM/pB5qtA5YadVpN2ssra0R5iVtJfh//OWf4X964y7fur/HNx4c4E8nR9w/fsKcfVqm57z7hBDHO+X/uG7aRWxeAgGxEpzrL3Gt3+Jqv8mn1pfQ9SYkDa5fuMDYwCg3PHrl+yy3aqx0W/zjV+6QWfBKoJVceOV9wrL+40zOO8CjtcRU8glI9IdhFCulqdVqZFn2zob39CHWVIyPjhgeHxKEAXHcwJvqXSDWh0nfPioPj5lR7wDg/mOf7L13LHgPqPTUDh9n/PFx5HlBEBAE4Yfu81HpwcUCPdKEo5CLxSFjBoyqe9x/PURdW6N7cYmw8GBjhGmTiRWCPCBONVkNKkKoFFK/DSLC0uFEGyIqmr4kTldIrCbxIbtBjhOWloMgP4sWmiAwpNKSUNHxOTuySUyTZd+jwpBTcCQMZ+2A0EV4mgywi0mK7XJepEyE5YHU+HyJWBRsRo7ExGTSsxdUZCYnlxVDPULbc3ipsJ0xstIISgL1gEJbvK9TFReJgwxFhhVjShmAtAR6RMNvgg+Y2SkHWiGlZxnYJ8P4nNgOkZxB+QjpdmFekEvBXQGrFyLiK+f528/+R/zg//VPuffyLVgeE6UhqgrZjzKKeY6aWy5MFlGQi0CysxkSTqboysBGQbXrECU085yRb5HpALF6QjgbIPOARxtNOAmQGYyNp3QAjig6hAx0GrJRFAz1iDSccjYvOEgTBj5mJjbw4RHUh+w0pqynsDrzbB849HOSzmcSfnXtPHOxxUyukKQ/4NGju9x/9IjvH0ScVI7ppKQ3cqQ6ZR5X+LjEDNvYk/PklMx8waHJ8Uvb9KaO8xPBbhwjR57wyDOiS0bIWCh8/S5EBhEIwvuOKoJsWSCXJOfaAb9Ui6ntH0IzQDQ1P/W3f5Vsb5/J6z+gT4zaG8LRd6AxgMrBRNA4jFhTq6jLTf72L3+Z5WtLiOebsF9ybg3+V3/jPN96/W2C0kGxzOE//0dYlxH1AqYPDzgZH3O7eov/9Lk/z7PPnYfAIk7eguwILqzyqz/3U7zy7Xv8H/7eP+DPvBDTFJLtVwy/BdSXWvydn/sSbppTPBgCZyCdwfQY0rdpX/wqLrhK8/Kr/N9+8xvcGQyIN2D/oMGSaPN//NwzzB/MkFMBy47ehT6UFn54D+IJ5CVV9zz/+KU7vLwzJst7rISWjbjCZnBEg5SQJEwpOyVGg3+4RLk0QTQqxHwVBiV+WEFS8JmG5vmeJNbH3H3zhOOHY2782Saf3rnK+FHJ1/7lG7htg/n6TUL3iEZUo95osfJ2j4PXjrn/esZPfekq51frbHVjxKMZfjmCfsy66PJPHr7BP77/Jv4HLMIP44miAzqJppko3nYjKBS6SPi54QW++tl1/uwvLLP838S8dfcud27dYfITPcxyg6ijKA8tNRlwJm5Bz4Et4K6FYA5hHR+0uHXnEVky5fqvxPwX3/59LjQVv3Khw1/5jz7Pozf2eeVffJ/7YYhzDeKiS6ObMQ/mHOp7RI0aYqoothdjhQhJX2jmgyYF4KnIV3OKbIfDb/weh98ectTu0Lj4Kb76fEDUbMKNLRATjm8+5Bv/za/xl1Z6vCUs/+U3vsP/+PXXSXxAYJZpXjohFYab25r/9eYlnl1r0t4q0McjcBWIAK7WmboJL33v68zu7bKF5j//a8/wyu+/yTe/NaLXUNzPL1NS52ztGNcQNNqeL1yxYPpUZYvtcsiqOU88N4z+4LeYvL3D3r0Rv/0vD/imGtGNNLVlw/IXztI8u0IzXicsxzSl4f/9X/wM33l9l+/fPuS/+u5bZGEDGwawPQJRIKwl8hGqLJHWMqjVKFKNH0Ow95Cq5nF1TTG7Ar7AywxWUozIEK4iSOfURAMpmhzLLkqPEWrEcXQamU8JfvrsEpfWu5xbb7K5UqfWaxB361xe7TNQIQMXUHztJvUlSS0K+H7zATvdlIdLEzKZUUYN0laXRpIyHRtOjipa2RARKGwYMfUNrHcIKs6rFOUcLoO7bgmRFjQH92iJBqmoc+JW4OIj8tKxexyQ5V18AmIZLp6U5IFgtynZO1ymUVWcnZ2Q5H1cFZHZETbchqACJLoC4wAEVB5cCMUqO3aIPQ1MYOKYuXTMc9BpRrNVsHlRMXo7IJtr3jsy8M5jZob5a1M6/ZgaHe7HauEf6S0tMoayhfEhQaEpkpy5tEDIUEXUqfFs1mY3nDKXFSLTnHUlgaj4UXBA03WJEOT6FspcALuOsgUH3rGvLLEsKMUYCZz1NQ5dyZyCQmUUwlI4kFVBoSsq5al0h2qWYCuJas2JlCFWKROTUlBD+VUuVyljHzBxIbNpjVljTtkc0URTkTMgZcuuMlAFkyhnSVe0XExkYo7RVI0BeXf7I8dJfwhQisUA9hRQmBwesBeEeAdnL15GOoepyg8dDH6Sle5Put8ie598qPx0ft/Po+Px9cVTv59AKk8sRxZSM/94tP7UqP0xd8c/kUgs0mPj2cU5IUsztJYknR4XLl9BS8Grb9zEuFMZhXjn+t57tF4UobWffOX8jys9kWxKiXFQWctWIGhFmg4a2+hRpHMOT6DfSCisXcjtyupdDK8PitL0oek99eLp40xV8aN7D/kH/yLl66sdLi13eW5zlStn1knTFJkO+TevvYnCsVFTHBzsMC8M00ry/cMJcS3hmRtrPDg6oZiPefhWAdmE47Tk9VHJN9/cxjl46eZbHJycYKxFasXcK4hqfOF6h2+/+jpHO9u8uNYmP3xEEGhWVMzJ0YjJcIhRmqWNszgPd+8+4Ceeu8SzF7b45Z9+gX/1B99nMB7zf/1vf42f7IUsSUM+OeT2v8m5Ny24vXvEhfVlrp/bol2L2dnZIfSOr5zrM3ICrwP+7be+y8VOQIOCycObPCoDHswt37+7wyjNUVKdshw+iqF4qrLxHu8cq70OK50Wn9paZ7Ue0Uk0nckOX0pK3Lk2P/HFz7A7z7h7POI7t+7z3d0Bbw2mSGeoB5p6OKJ/UPJoMCH2llaoUXgqUxKUOWs1wWqzycozN7h5OEGqOx+YRynALqogy80G/VizrC1/6yee5dHhgO3jIecvXSasNXA65H/Y3+P2wZB//O1XuLrUwFrLvDCo9hIzJxhUjq1el2dX+6zUIn73zbd5NJnz4HjExrUe51b6/PT1S/zLH7zO0XTOuFxELxEsZFYfx1/nsYn0Y4+qeWX50eGYf/DDe1w+zPhSJjBRjdl0xo1unefPbnI8TdFlyltHAyrvaTbqC/mV98SxYDczTI3h0Syj+TCjlhyw9NYBvfUHOCE52D3iM62QuNNnZ5ZyMJyQOkHYarC5vkE9jnH5jNcf7nA4m/FP3j7md7dHRFpRiIDPFzHry0swOOJyDKuXVmjGAbeOR+zMcoSoSLrL1JMu6TRHCUdqHP/qlVvcOZmSFebd7ehj5slTwLr7iPf+AwNOPD7WObRU1OKIy2c2abXbtFpNLvRadF1Ow2TcnFQE3hJrzeqVa8RRjS6C8fEB8/EJ93Z2efHcGkcV7KSWh8g/TTupxf25xTuqgxBdWSplPvlJBGitUUphrf0xptTjW5RyAcKl0ynD4yOipEbzXJeiyBfRD4V4hz3mn2493tMW498lw4PHTOKn4awnOzzZ/iS7T0v3Hl/nqcWIxTWeWtZ4VyG9e7Hmg3yvPoo1JYC4ViPPUmaT8Y/t+0lSe0dTaE9RL8ldSBE78lrK8bdeQc1mFE6wtdUikYKGVxyIHKFzkkiwJuuUsiKXOTOxujDMFgWrrsK7BGOWmEQlZekxeUBqU5S3NKlRhEMqFhKM0gskCdbVqVdNlLAU+oAEQeJbhFWdWBxhhGEeTIh8DCLgQGoUerEI4Q06yhEIjvwSSzKmkBkzNUFIgfARHbvBRDgqLNYrumJGaAVBuU49mOKkRooC6To4alhvGcmAGMlW3uYgKCiER5kVunaGEI5MtGgACosWCceAE4sokU4YEgQrpaQcezKt6epzfPbFz7NabzP4/71N5nOscCQixKgKox17Xc1q2mXJh3h3xNwLKiPgOKAwHhN4orKEWogIGnASgssQoiQcV+AsSknqhys4l2NVSWfJIMYhbhqy60ISk9ARiv2NfbJxAJMY5yfowiKnMWbSZd6cQX9G1lFUKzHEDa4kkrEpGLpDgqDBtIqI54KzzyU0fcKoaHP45pC0UuS5huMYn4d4XxEEU4KiJNgvMM5SAnuJp1NVGKvIfA1XO0F6jfYhPkhQpUIPAzq1jHmtJK9V6H3NDycD/t6t7/ELL4ac7bY521pl64LHpXOKg4I/ePUVpNe0GnXu7twmKyqqUvHWwz3qvS6Xnt9g9yhlWpXEu9sEjw7JZ5bjueaf3H6TKrNc/uYbvD2bYZ2nKUPaSzEqbvCrL77Ao/sPKWZDlqOA5vSAuCZJ5pLR2yOyR3PWRUS3exkfB+yfDPnq1RbnLq3w4le/wO3feYP59ISv/dqv83zcoKcsyEMe3Pwd7o9TvuNu88xnN/iMvEhjRbL/UklSaq49E7NvNJUW/PCfvU6tF6JsSfHDuxx362yXnn/2w3vcHg/IpMF7GFchhfAsIwiDilI7inaBE02wIXQnEFbgPFE45pm1K1xYXeHSs0c8FzbYimPK/SOu+ylu2XLp+QvYcyXHjyb8s9+Z8s/v3+N3Jrsk1rCFYk0fEL12zP50xniesWKWiKIALyRxNaYbrNDud0k+fZUz3844fzDkVTFAm4rIOqRogK2YZRl9oECA9myuFHRaFToQfPYvbHBmJ+Azu13aP7lBPW6S+IRvv/aA/cNDvv3Wd6n/qI0JJUXi0bpBpUMyFbA+a9LrtNk6E1CeeO4fjfnXP5zyF/uez2+t8sW/+mW++faA24cVr2wb0nCMDQuQUB3WkaUninKk9JTecBLOSUpNIDxVkGMSjywlEQGjZXhdz5ju3Obr/3qFy7fn/MKxQ01uUY3n9Hsx659pcWYqqJqr/P7bcyqluHGlQeQMzpVsrVoG9w/47vYR9xqK1mtdaklI51M3iX90nkpETE/GXG40qLViJrOcm1GfUSuhcTHm2uomSZRQzzX/5u5ddk8m/GCs6YpXqQlNrDxfKBI2NvuIw3ucj0LW1vro567z6sM9XptNGM8cv2iWWXJb2OMhVpfMfMm//c2XuXMQcu8kIMubtKucOJ9zVDjqHU8Qe450QRhJlF3MCSMEEYpUdEmEpSkFIzxSlQiZUx4l2LpFLBnqeYJ3ltKPcV6ysmTYWGnw3IUXSRqSpOa53Iho+ZKaqxjMDTMcsQ9Y/tJnqDdi1pXgjb0p1eGY8RtztjZXiWvLxKrPLfEa08pQpQHHqqI0AicE6ZKgXjnaaUnqS2IHcQWpsygWAEUQ5ng8hpggiQmdJyiHVIctbFTil1PiPMM7i5uEjJygMhKfBix5Q91XRCUc1AxBrcay6rB0UmN2MuduecK+1VgpiIIJWIUXljzZo58vom5PtEZKjw8U1ELKfhvRqbOWzrhlRlg1oeyUoEBYQTSJaAxDkjTiNkOuj1LUUgJNiP0U5S02EBi3CLaRK4+TU2Jy1soeeZBRqZz70hJZqHsYBpZjZigKvFBgNMIFCLlCYSK8L0nUAUEgqVBMXUigPOC45ysqJxFOEfgU4RIQIQElgY/xLkDiUWoxhHqk8gUjyhse6ABZKhIbI0KDkQ5DwRY1pi5kaiXWSozIKWRJLkoymQEZdRNRCBgriw0cxhqqvPrIcdIfDpTiyQI3xWzO6OgIlGZlY4sw0CipMG4Bknyclco/imTvw7yePsk+H5Tez+B8wdV4/P0daR5PrQA/GWs/UWG+A+Q9fc6ncokQUFUl3ivqrQb9lRXK+RT15q1Tn3yeMNCeztsnZWz9+0mn+beWvCiInaP0nsDbBfotPFpJmlpT94uV/2GaU1lLZd27GCcfVmc+Nlh1ysY6GAzZHwy4v9vk6uoSo/GULJ2DNUwmI+7t72OsZT/S3H60xzSrmFcS3WmzsdTj+WsXmc5z5sM59yZHmHTEqLTcKwT39o/JKsOj/UPGxlGdXvPixirrrTo31nvsHRwwPTnGjrvYyTFJFLBOyN3hlJPhmEa9zvrqOl4I7g+nPH9unRcvn+FL187xxpt3GA3H/NtvfJvk+lk265pycsDh9gl7mQUp2VrqstrtcKbf4y1hcHnK+WZM2uoyc5KHD3cZ75fIKuV47yF3Zp6d1PNoVKDl43rz8Z+zlJJGErPR73FuucezW2usxJKGdGRHOyzpkkYt5Nn1Ps20xAcB9UAzzCsO0orCWiIpiLViOfO0ooD1doO+VmglmZclLssIOjWWkpC1/hKNWu1d9ez9a9/iXasnMTW9MNW9sdyiH8BGojl/fgNfazPTCb12m+lowKsPdtndV2TGMi4Mzd4YrwKsCnh2fYXzzZhLjYj9oyOMMexMUvqdJhfXVri03OeHdx5gjKFwjvJ9QOGP2zYJoHSe/VnOfPuEh5khk5pWvUZLK852mnxqpcWgFvDqcptJUVIKyeb66kISax2uMgxHJxzmOQ8mOZHKSALN8smcs7mnEYXo6YR+u0cz0sxySa9Rw+iI1dU1Ll29Rqdeww12GcxTcmO4NZyhlUJJSahDeoM5BDFLeclmq85mu0aqE46NYOym6CiisbJBrdsmP9hGOMO0Krl3dMy4cswr9+R+n8AYp8/ow2JyfJy2TZ6C4mEY0khqtBsNrl++Qrvfp9XpcqYdo6YD7OiEh+OcIGhQD5usdleIGnVCpamvbzJ0hnmW8fyZM+hZzuBg9NQ78qeHTD1pE09l30J+8vZeCJ4Yoz8GpJxz7+9N6D2mLJmORzQ6HeST6/knMrZ3+kT/sUG7p5mxj2V/T/eR70jdeWqbf8+RH3b2x4wr/xQAxvvKCx8DVe/HlHqnrxc4a5lPJ4yOjz7eTX5Aqk0Eru6p6oJCScrAYoKK+YM9jmsJvt1keTkmCR2BBItDKEsUeCIR4mVOrucI2wOR4+SUphFUNmTqmlTBHKEXkZJLb4m8QIkILStKHCUKCzgf4HyD0AUgLMaVSEKUT0h8g4ApVuRUskBXIQ5FJkvwngjoIFDKUKGY2ZCGDMlFSSEWJRCiqdk2Qo0QwqCcQHtDgCZyNaJTID3SBRaN8wLnLSUBmoDExKCOcNKjCWlYCUiGsoH2OaH0CB0yE57SW5T3p1HxoGY9WeZwWhEEDdbPn0GVFTW3TyFLDBbhNZLF5GMaKZbKGGEDElORS02hJGQCnMJLj5QlLgBCgZgmKFGgcYjcLzxxtETMeqjIEMQ5tZrFZYpShUytJyJEe8U89tg5SAlWpIBBWglVRFHP8VpStRSFlhS5o4GkMlNm5YAiBZdD6CKWVwLqPqKbacpuSZgK8lIzzD3egBAlWhdoY9ClJ0IyrzlmNU9/7DAipAxjhBqjREUoDPgasgxQqSboC8JIEGIIxoKD4xm7Dx9S846DTo9xsyQdV0hryAcT7u8PkE6xlBS89MrDhf+jjsiUp1mvs3F2nbTImD0aUbw5RO/tMasEO77ODw/2MZOS2eCYO5GkMoraJOBzX1rlfL/Bc5srnIyGvD05Zs8JltKUJNY05o5HD1IO9zI2Ok36/XVMPSaeBnz+xhKXr62w9cwqx2/cI58Ouf3NH1A7c55uLQB3wO54yF6Rk8Ul11Z7bDT69NcT9kdDxLSitwyu1WZm4ODWEYW0mDwju/2A3ajJw0ry0s6IQhV4AUJYcjzWwxJ+IX9SgkoJtAiRPsCEOV4qlApZ3wy5cabPsxubXLsuOScbdJ1m++QBLZMT1xRb/TY0CurSEtYFh3bG3ckUTgL2rGMDaI4qwiY06oIeirB02HmFyWfEcpnlegJn+zRvLdGRbQRDpJdoK1BSkRtD4T09AQRQaug0PEngEc7TPxPSrHXZ6EU0L/SRSQvn6tSTBmkx5sHOLuLhhCwWzDqebtjB1yNMK2Ld1zkTRVzuRnxpeeFr9NpgTlcHXOo32Ti/wjy/iTET7g4mDIXBeof0EpctInfqZOFBWGGonKFd1XHCM9OLyHAKSSg980Rw6CqGw2PeuKW4P6/oRQWreUIzUCx1ErbOBHTzmNFRh1vzkCrWXHuhh5q0EGWJtBN2DoccTAse7JUkO4ZGpDkf57SGCWHQQFYZLRHTQGMrQ63ZpBbXaF3ucun6BVr1BA5DgskOk8xzMHQIOyUGzsQJZ/cNTeWJjedMOyZOFLPLWzyqch4NPFk3IljaIulsMJucMM0q8nnK3ss7HJZLHBUx0ijqtqIuck5cjaihiEKHlA4nNfgAvCRAICXkIkLiiRyLgBeqQMsKU0UgcnxoESrARwYCz7JOOLsRcul8jRc/8xz1tiKpe5qBwE8H2PGAybCkDBOMrtNd2yJpxMTSIy+skxcSc+JZOdMiYBk76xDFlowKA6RlifMSAomPQDhB4CVeLCJ3h14yFALpBSEKoSu8EDg0LpSLhQAyTNoD4fAdh6bC5wIzj0kxWC/BaiJh0NJilWAaGBoa6rJJL09QhUS5EXOvcRiUysFqrHQYlRMqBUIgE4N3IJRAa4nsN4gaMaLMwM9BZrjAIbSAUqCMJqoCpJUMZhnjdEhSBHhZR4sKjaGQEcIZpFAIyUKmSEXD1rHBjEJWDMI5q0VAYBVKKHJZAAXK1RdjJ6+wZQfjJR6DFCVSKiSe0oUosYhWPXE5UsSEQi6k/wudBYiCyCuUD3EiQ0uD0wovNNILpIex9DScJKoUZSSxwiKEJVI5c6FxLgTnsEpRSY1xHuctAoMwEVZ7SuHAFcxHKbPR5CPHSX9oUAoAvxjkpqMB6XiIlJKti5c4c+ESbj5bSHzexzfqXaf4iO3/IaR3A1LvMKQ+KNdP1oA9C1NXngKvnjonvLMavLjGAqr0zmONI6kl1Jt1vLe8Fzp4fIy1FiklUsoP8Af5k0tCwGQ24dGe5batcXc44Y2TMa8PM+qNBq1GgwjPxV6Ti90meVWwPy/Znua8/miPwljM6XORSr3LSPoPK1EUp3rovdGU/dGUf/fWAxqBoKYkrTDgz/3yV8F79vYPGAZzpHacbcT8zZ//Mp++fokvvvAc//Q3fpNvvrzPb/zBaxy5BcPTA+1Wg9VOh2dWeowmE7KiYJKX/JmL6zyz1uHLZ3v8+ksZP9g+4v/z3dd4vK6veIVaqNjstvmFZ6/xpRuX6DZr/OXnL9OxM5p2xvH3v8O1ekC12uF7P7rJ3//tbdLKUErJxZUel7dW+d/89V9h7+EuoZT87Kef4bNLNUbHh+xuP+LLn/8cjaU+3w4Ev/a73+WH93eZVPYpNsSpHPJjymtPg27Rqtf461/9eVYSTeIr7t26ycBb2jjWIwg0BC7k3v175HGDhpL80oUVjvKKk9Lw6uEIay1aKb74wmd5bnOJC5066d4B9/f2uHdwwP5wilxaYSVpEU1GTGcTijx/avr6wUkFEd45ismI7996EysVOqpx763biAvP4C9f5Zde/Cx37rzFK2/e4l/dPWFmHBVwNlNcv3aNz3/+8zQGOyibUk2OOBcLamsdLi51+fM/+QL1pWVs3ObTL79GR3hageTBaE5aGXJr4PR9VB9DWvt0VEqtFfO85Ob2ITe3D/nqT3ye57dWuHSuz87ODul8zgv9mOtr16j3V7nyuS9QdNco8oLpWzd59Qff5s6jbb5+d5sDCyIUzOOArfWrLPVaXJ3scPONVzgaDrmTC1781A02zp5n+bNfZOm5zxMmNfKbL3PjzA95eO8e//TbL+MaHcJWh3OXLvGzP/9nuLC1QXyyTbr9gHI64cuXNEuXx4wNbN14jkavQ5pn/Po//O/4zr1HHJwMsP4dUEBK+WM2cp/o3X6aZXv6aaqKZi2h02rxwgtf4szFC6yfPUN3eQUvFAvVtCMvc8qy4HwYosMQGYQcFTl+PMPjWfuJn6c5HjEfj+idvcDw7h0i+9Kpzxr4JxTYP+EkxKnUWWKtxwmxYNx+8hMRhCFSSrI8/9D+QghJoAOGhwcEQUB14znwHvk+vkpPi7Afy/HcYyDpKZkePF3Wi2cp4Yks+8e8qd7zqD/s6T9dK5z3+Cdn+hjv3/swquI4Rp2ykG+99kN2777N/qOHH3quj0oBBY1ZnWheI60dUXoPdpHz9K23cDtvMVn5i1SbnqBfI5l16DnLiiy5KTK8mBH6GZfLNeaBZKg9uDZSCiJlCBG4qCSPZ1jXJRclXs5Ym65QeImVFi0GhFJiVYxTd8A08elFJlgqnePjAZ/KllHOkLkZVd5Hqyn15CYjlheABpKGDVEUSHVA5s+S00RU13AWKi9IPTSCKYFIadqSY9dlSkBeOwbXAAlFMCeQx0ir8f4szSpGSM/tIOeMaSNFyaP4bcK8Q+BjBJ4xIUMUTlUsyYq6EwwMdMoaSggeqBTvY7T1jOMDwoYk69cYXymZn+SUM8N83CCyIbFePPsHahsXOGqjhKpfYZIKP/HUhjVEoTlue5BHCHGMuCBp7ntqE8FhFFHVK0zguTfPWKvlrDVL/ByOWyHjdo1454i5n5N6T+22wQYzTK0gb2bYCFwgIHqIHWrKhzH+YpvjN4fcefuH3DrbYDAds3My4g9ezen3llnbOEOrGLOk6yzV+pQ/V2eWK05mgv/7ze9RziBIF/EAM5rMRJ1nxAnDVkW+btgvQmycUDUbxA/qhI2MeGlO/KhD7jOm8YBBb5U4g629KS4t8B0PG4pv/3DCH/gRWbhN9rs5153kF13Mhb/3F4mEwNzcY5A5GnHI81srfOrss6xcu8D6zzzHg9/4fb7x9T3+61//LkdRSO4iirLO5hY80+3zK1eucbI0ZzSq2Puh5SubPS5dbPLs9RbfenPC1+/v819+70fEgwhvPXmQk0zXeWaly9/988/yxefOkNRCPn2pxRoBSSERr7zC9RVJq6hx+7UT/rd3HnC/KoGc/8WN87y4ucb/+cqvsDMYI2LNpz9zhYHaY3ZwwsHkHpd+8RcI+z1u/tZ3+b/8wzt88+YhbBwSjseIPCZnncCeoJhDfEKhcypvOJnAvAgpyxrMI5a3BjTqc45uObLNFVpnVvnf/yefozP2hOMx47cmvMkRIZalokY3hE7dIB5O8ALqheLv/PQ1TrpTTqI5/+7/e0RROUa1Gr/yd/4q50LLis3hQcbBZMjh9IR7exOSixVbsYZdR34Io2mA9zChw1A0iaI9jEmwVY8uO0/az5rtE2Y13EnJne/eIawF1JZqbH/tEerZCwSf2+LqTz7Hya1Ddm4d8Y9e+xE7znESaP7SyjGXv3SBK1++TPPlDEHJaHtOhwlfWYn4fHyFn/rps9RaXXxZ58Kbd6gDN/oh/8/vbDEqUoJwQN45xIY1XNCH+j7YEj/3nC1DjBXMgOAoADxFPEQdLoBrgLaas3M05j/7jVf5P/3Sn+ULK12u9SLkyZwqy1hPuvzdz25Q67e48pPnYPXTZJll97WXOGm8yp3b2/yj377FkRjS6DT5meoC5559ls1Ogy88OubRb7/E+PiI8WrBTz/7GTpbV+h98VlaV75CGDbh7e+ystzlwe4jvvbghPFaD9HrcHXzIj/3uZ/kYreHePga892HVOMRn/lKl+ZPXOCXdUy89Tk6V9qUYcm/+I0jfvsfv8rNl3bw3iB6OwSR5aLMEB5Kr8jzHicHMyKdcVYKjnLFuFJI2cYGU4IwI6JgXrUZFzG2eQ9lNYKI1tkIO/bYA5iFjuhGj87VFf7u2l+if2Gd5tklok2LNxJXQa01ImONTOS4WCKrGFUlvNSqkCNDMBTkP/sFyk/PcEczNs60iB/Nmb1+wujZFSZTC2VM9PARJsypNiu6jzyF6HI/XCEWexQYHsMWxjaoqjY2uIf2ntjGHKQpPjT4dknEAIyE3RCLxfgale8SiQNEUCCbKcNpiAs91SqE22PqeYu2WyXvvsSkHDA9mXK2LKiEYI8QV3bwLkQKxW4ooTFHrO/ipo76XLKx47h6rU7WFfx2UWDCKXFawtFC5mitJM00Pi5JGjn9dcN29S3y6Trt8i8jXAY+xWYVHeGIvGBZSXJCps6wK6fYKsTYEK0rhmpOIjQ3yk3GoSKTgshqdJBjpWd42KXeHBJEFQMuY12K8xXSOryrgxCs+Bm5ElQhjBiT4zBeMHYtVpyl5lKG4Qkn4Zzc1eiVN1j3BXVybqopXnum0jBWKR0r6HjPm71b9Nw6a77LkX5EKUNKl3DluM5h3XJU8+yZFZaVZtUb3rz7HX70u/d57Q924T/78HHSHw2UAt4ZTsLx9kNwjrKqOHPuAhKPrconsp8PlF68h7L/R01/1Mh9T68eP97+XjaSeM/ne7/D0yu9HyxLeJrt9PSKsJaC0WDI0cERpVmY1r3ffVlr/1Sle/BUrr3HCkUexBw2V5gWCjGzfGqtycq586yev0CyvEJxuM9s/xEqy1hNIvq1Or1Wj2FeMMxyBseHpFVFZuy71sflqQn3++bhvRPb9+ynHpengMwumClzW/H9N27TX1piZWWDX948R1MJlrXnM5srxNmc733tm5i4y8ZzL/BnVi7x5s03mA8HVKMBX7p+ls3lJc5ubFI0umSzKaM7b3J8csyt6QnB+ICtVgd5qU7RWOVgPCHPMsxkzDPrS2x1W1zq1knjBj5ps9RVfP8bv8f8+IBAWAhiqrjJz/3Sn6ecjpmNRzx8+w6XOg026wH10YCk08WHNXayip3dfQb7exyMZqzfukXS2OHlRwccpjmF9wtpxccs0yfRy06B5QC4dm6LC+srXE0E2uYIPM9+4ScZ3bvDcHebt/YPOd+K2WjVyB5tY9fOU3ZXeOarf4HZ9j0mu4/QtqLXSFjuNLmx2SfZ2CLt9vG6xbIKSKSgsp4gjMmcYnt7n8lkjpTqQ/J+yriQkvrqOkVriUeqzpFIqCyIUnHm+jPIrcu4pRXU1U+z1VmmtXWOrUe7jPKKiYVL12+wfOYcq+cvMrt3k3y4x/5gm1HsUM0aW60e8/45inYXEzfYvPEs7V6XC0eHvHQ4ZWochRfsHe6TleWi/p7WO/HUc/0gEMY/ljmdsolevX2P7d09XnmzRgNLu5Zwdn2d9XPnaa6sk62fxzU7UBkiIbghPctnzpIs38PXm0TtLiuXr3Hm0iUaUUg0PCCM29ROTtiy0Lx+nXBjAzYvMHEOleeI5S1qnwo5e/Yaf+X65/BxHZ3UaPd7bG6dIW7U8UmAqHdw0ymHR8dM557hcMSdb36D0WTMZDLh/t17TGYpXiwMIv0HtJQfFqXt6T09LHyiTpNkwa6SUrK2usbVa1e5dOkyWxcuE9USVBQxm2dPIIl3wAeJs54qL6Gs8M4tAAwBzpfEcUwUrJC0GugwwNmFP9Vj6fSfloxvUY88pqqwVYW37zCRP3Z/5wVKBwgpcEXx4ZwjKYnihNFggFCa+XSKkgvp3zuLKO/u237MQ/IJ+/X0//4pdtQp1XpRov5JJyJ+TBLI4w3vb17++Nb8U9sf5+HxuR/v82GP5vQYHQRopbGm5Hh/l8HhPo/evkM6nX7stvOD0nEnwOUxLm/gS42NZwg9A6AqI6oq4I3ffJXOp8b0PpOytHyduXcMbEFGgKAJroVgjnAKXzVoVpKptkyCkhYgTYA2EUEwRMuMhDkmDDE+ARHR9i0K7znQY1quiZchZTAlUBaFwRnLifAYIRmrkCQyBCgSu4xAUSIZiwQvKrR3SJswVQWl84gqxAYL2WBsPfWyhRMxUzEkFwlCeGJGzDwIB9pmONNEENAIC4IiQhlBHHhmJkQJxZrsoHxIKTzH4YTEpTS8pFH2GQtPKgqCaM6ENviAmBLhYkI0PW8Z5YJsUhFsj5BhAnGImNQBg/IVrarCiJAKzcSFuFEMqSOsMkwcUMWKyERgQRno7hmCzD+p2ipXaCPobXiSEtxYMBCaygu081RlB6VSApnT0ZKZElgPYRYSlAapYG6WwRTgSoL9FH29BVeaDKINZnphTPzZL63SObNO7/wGjWubmDtHVLf2kYWjGWuSTsz/sv4F0qGlGBj27h9y3zruYdhul1jn0ft64XFclARuCtpjjSUfAbaikhbwVCdjnKmofEhHVFSpYr4TYkSIdwaR5WgUx87z9SrD3foRnY0+8bVlfmLzV1lJPFeXLJ3eCt5Z9n7n+9DqcfFLX+Jv9j7Hg4ePKCbHMNrhuTNX2VzrcuXKGfKlOtkgZdTcphrscJwecmc6Yq3e5stntpj0IrJhRXmQkb48ZP3za2yuN1lZTjhsrxM1m9SXM+797nfIDw8pfU5Qq2FqTS7+4i/yN/J9xpMxs7cGPN9osSpq+MIhV9sQB8wPMo7uHzDaPWE6D1j+g22i1pDjVy3haELLjhimnlJXyMQTZCf4IMCINrqc0JMCKQJGYQdlcppuQks2sROYZjFrss7VZ85x8dOrnCks4digUmi9+Czz+4/Itw/ZfvCArC4YNyP6PxzAaoOqk9D/n/0cydv36dzdxa4tETWgsRxxraXx612G7QixVhA+2Gb9oSctK5xsMj6yzMt7DG7eI3/rId45GsyISJmetr5OSI57a3iTEQiL+/QGxVbCNHBMVYQDAmvpX7hIbfUGSf1Z7M9mtK/uIp/f5ZeeazEdl2Qzx6e/coP1K1dYv/YcB+57FMeHHB/uk5ZdZDume7FH2rjKuFNnWJPIS2fp1+p0BnP+2s8b0sojzFneePUh+6nhUbMkOFIIG4CBY5NgnaQsAoSIiSnoMOTYd6hCB40xk7kiVILNOOF3X36d798OaTUUF4tlVuKECxsJrfOXic/0mZ3bpB2fJ6xZ5NURl0PBUn+TWbiF7Soay12e+dTnqJ+/RCNWJFfuopC44wHZkmO2dpmkv0n94vNU9Qa5DCnO3KDXSkjSAXI+IEiWCaM23doaq91lZBjB+qeI2hcw2YjXh98n29GMx5KvPbrD0bfvMz7eY7Bzl8N8iFrN6A0d5HV8Xmfft/G+wOLxBNhmQJVUiIMMAhCRIDQC70PKKsb7GVIWaF1i0zpIj9SO9mDMvASjIl64+GXWvtRl7YUOF3pLyEhgwym7qcWrCqksxYkCajjRxEUTcicxQBwsLMWs8fQGM6pQUp5fImiuU5wcMFADartzijEUlaZZlZTek7qQmW9ifISvDJoCi6QgZE3k4KdUFBwJjROWgpzVQlLamGG5RK/MCShRouRoFaxyCw+wkcGnGrcT08wzqkIyrNqYXhvCiOTN+2zvaY6KkKJRME8dlYdC5TSLAY6YynfQTIAc6yHIAnwZMYy65LU2pdDk+xabNhEmI9Bz6sYgrceLiontYlWb8ELA7e/f4eTulC9f2GVuawifIBhjI0Uq4bY+IKpCur7FSKc0radmPXVnGMuEioDDoGKmahgbk0w6pI0Mq3PqbU+kS4TwWGmJkUQo6t4wcQLjAjpujWngyF2FVCGRkwQerJoz8xrjEtpVk6aPqXzIkcwYUjLHULc1cjmjUAMKGdJyjgBPjSUSUyM2AhFblE8RPmfaUJTRHBHkVMmU7Tsp9+4MeHD7u5zMxrCR8VHpjwGUemf+n46GDJTCCcnK6hpBGJ76V7hTRsBHcx3+pIzRPyyc9ON8PA1GvctD6iPzd7pC/AlvYTFgf+f8WZoxm86x1iOleBfO8kT2cjpRez8frD+5dJpv53BSYaMa5epZlKrRFBH9SLN+6TKrV65S3zrH7u2bbKcpwlnqUUg9ToiDFoOi4niekmjJaD5nlGZUVfUEeHtnRf0PkUPxzvOzfmFsV1jH29t7FA5avT4XV1dYijQr2lNLYuZpyr29I/zF5+mvN/jUVY0MFJO9HbKdhzx/bpP11RX6m2fxm5cpp2PGouT3hkNO5nPuHVmuXt/iXL/NZCXh4cmQ+WRCcbzPtc0V1lp1ut0W82YXWh1cI2avkhyMcvL5hH63S3ezz7XPvYhOR6QnhzRMznqk6cYR3jjC1WVso800DBh7xch4BpXn7Yc7SK15Y2/KMCswLN7Tx8/u43LqhAAtFSutJpfW17iysULDmwVlPUxoX3uOMs0YjMbcT/fQsUBZjUxLpNfIpMPKxU06ccBcLiSb690m60sdlpeXyJZWyToraBFQ95ZEeLqlR7e6ZLpGmRsy659Myt9XavhUGQedHmV7iZN6g7S9QmUcQoVUa+eRnWVcmOBXtmjWG3SX+3R6y0zyiqGBc889T7y0jO4ukaczjBJMTEFFk6jWor2yTtrsQ9zAhgnNM+dp1hLWmnXG9RkzC0ZqtBIMJxOOxxOKU6nKe+sifIhE8nT73tEJe0dwU2u6SczmyjLxmSZnNy8Qra2TN7uIKMYHDrG8Rt9V1Ls9XNIk6PSIu0v0r90gbndBQN5qE6cVrZUhkffUzp9HdZewzQ6VsQhrCZMGwVpEa3mdZ89dQoQRUgcESYS1hmmaMssKCiuYO8WDScrRdM7JcMStWzfZ3dlhMlmsdT0GkT9K/Pa+MsfFA3rXNikEgQ4ItEZ4h/UeqTVbZ89y6ep1rt24Qb27hDGGsqrIi+JdKJI8la650/4IFv5ICECCx6CUJohiVKAXfYKzC+DqQ8CfT+yD9wmTOL2GB7x1OGNPvQg/6Zk8Ui36CXdqBP9++3Da30mtycYp4WxKWVYkcYBSCmPMh4Krizyfsp78O2X/vnVAAF4gxDvMqqfz8eTXBwK5/snne+WHT76+i2L8+OOd4+DdC0/eO6bjEUe7O+w9vMfw8ADv/R+5j501JBKBtGCJkT4ncOCFw9sYX8Xs3d6jjICWpNbcIA41kbI4H6AWGjKcnGAROKcJnUM6g6WiQqOdJqgClCpRokBS4nSG96cR7ExERUEqZsSihpeSMpgToJDOY41kKh2V9ORSEOoC7x3SxafiP0nmA7SaE2KJvSbHYBDIUwmGFyW4CuU6IAIqpbBSLSj9VAvzWA/SVTjXQAhNHFbgLcIJIm8Y+YWEoFlFVBJKaZmrnLbPqPuAug0ZCotRhkQJ5l7ivST2ILwi9AGJ94wzg50V+HmKVgmhiqiUXviVOE9gJUomCBFiUFAJpHUoX2FjhVCKuNAYuWD1xWOPwGGFwHtNUFgCC7WuA+MpDMyEROQWVRpKEaFEiZKSWEXkp+NIXWl0tTinLJsQCggMepwjoz5+s08VX8LXa+haxFatSe3sGvXzG7SffYaReIv5yRQ9tAStReTTF1aWyScV85OUThni5ymTMkO054jMIqaOSlqkrQiqCh8FizFb6smdBeHQTlBl89MxkqSDwlaCzHqUDkF68CXKhcwt3DaWjbs7dIWj1u7x2a0LLNcFve6UIGozH6SM9k5oPfMp1ld7NC922frRqxRH95CHc55dOU9rvUvt2WXobmFGMzJjePPf7TGfF+wfzbnYXONMv85XVjaZT2YUD+fMTo7Z+HSP9mqNejth3lujarZpJwUj+12Gg4x0NCPqK+JzfZY/91lW3S5mMGBY7tAKFLUoJBMhcqWHSBKqmWYuJDMEaZpw9PohKMH9+4ZqPicih1LiAg/KEDDHizZe6kXkRwK0V1S6RkJJZEvq5AwzgTcR51bX+cyZZa5udqhNLYHRqDAmvHYFN3fkRwWj6j7exlRWoY4rVDvERz0an79EUMQkBxH+3Jj6iqK5FtFqJkxXlkjXu6h6ToIjNo5Qx1TtNhMbMU1z5rOUfDpHWEh8SRPLjBgvHChHFceIvCK0BrPVo1xJyOOKrNvDBBbZVCxvbaF6ayi5hL1yFrkcUdtIeGZ5GTsoYViy8rMv0Fg6R61xEXd+j0J70nlG3m0Qt+skW30mtXXmcchx0xCfO0sYN1GNCZ+LDJXX+KqGP1Qk2ZginlINJLZUVAhmLsQJiVMKTIzHEQiDd6eMaO3Ipw4lFY0w4OaDQzJhMKHnmcpyfWWZ7pklljfOEW+tMu+0qfsGKIteX6YpJVF7lc/EG4SrUFvqsH7pc/j6KlJZvLOEQ0MymhK3BLK9Bs0+fmmdUkgqHHm3Q6d9gQ5rnBdTOnSIRR1FF5NXjNOSykRUVjJyhperOXoaMT/x/GD6iLe/80OGD7dp6Rm5VgSJICkMZE2qKuZEnI6FvUFKj9QgTz2KCDwyBEmBqSKcC3FOImVJIB1hHlJvhTTqimVXMokFJqzx7DPX2LrRY+Vak3o9oMotJjdMM4cPS1RgCOYtFAHIEGcWC45WOqK5hRKc89SnjqobEjRqyLhOFWjmskKNC9QIhA1RsSF04DJFSgPvJYG1SBxegpKCQDmUqwhdwYlrYFWFC1KCbMEicr5BzCLIh5aW43hR9tJUeBJ8pfGpQguP9wKZa9RKiMIRjE4YHoWMpcJ2LfNCYr3HBAYlU4T3eJEQihzhSqrcIwsFJiDVMVkQUaGpRhW+DFCuQniJ8pJAWJQyzEWAVAlRHHP0aIIbVXg/xtBEEhD7HCc8lbSMKFkzNSKv8bJEOoN2ntAGzHSAkZqJ9GSEeASxCTG2wGpDlOQLIMxLhF90IwmeHo7KG3IvqbsauU8pvUN6TeA0DrAio5ALyXHPamIUDsGBzEmdI3dQcxFSjhFygvfLWDxWOLSvLeZ5RoBQSFshrCULK6ysEKZgNNxl+vaQ6UsHDO4+IOsZ5NJHj6H+WECpx0kpRTocMB8OcLbkzKUrnL98DVvkGGuxzn6klA8+PiD1fsDS0+f5uP9/7+8P+nyK7vDx8sdTE+bTz/fzgXrn+ztHOKnQUUAYBR9+jf8A/KTEqTeRNxYR1wjWt7j2P/9PcLMp6ckJWZ7jdcBIB0yMQJ+/zsWzl5mcHOEqw9xDd2mJ1SAkVIrq6IDRYMDx8REP377D8dEhhwcHHIzHiwm+EGi9eC7efzx4ZSFVO80vC3NshODwZMDByYAfvv4ma2fP0O/12Fxb57krV+msrtP6yS+yeeUGnSCgX5acv36DYnDM6P5dfJUzimImSyvEq+eQyw7RXuVMfYP5yRHpbMxue4PG+hYvfPpFvqg1VCV2cMx0MsY4zzhOaJ05R1irMQMu/JW/Tf/wgL3792j2ujSWllE3PkPiHUk649Prl9k7PGHHWEadJqvPfore8jKdZhN59jL1B29z/Ae/x6//6E12Do85mGUI8Q7D7ONMmx/vW1UVrThmrdfjb/3Vv4TMZlTzKS893OHS859n9coNyivP0Y7aiI1LPNRfo6jV2Kk3MJsbtM5eoL66gWt1cFEDcfYa5y4+ADwjrbFbFwiabXS9AcvrFJvnqWZTNp49Bq3YC0JqrRb2/gB49eNkHLu0Sn7xGeaXLtG49AJSKrQOSIMAZwzu+AjCBBfWcN1N1MYzNICmgMxa5tbg9w8I+xuI/jruymdZ8R6ExAvJ1BhcYXHpBHX2GeTWdaSp+LQApSRhEDDb3+Hg3j3e+t53+drLLzPOc4xS6I8JXjzeLuUirDjeczydYeMavVLywrVPE64sMx0cUwwHiwlnoJmtX0RsXGLrU18AFjLgzFpmJ0fgQeqA5ec/y6qSSCmwfhFBsUhTkAsgweYlGRIQGCsQWQkUqOmEl779Le6/fYebb95kPp+RpinHJyen79UCFJBKLYIvPCVL/CRQzdNttTuVJ8MCkOo021y7dJlzG5vYMmVaVVRa8zO/9OeJohgpBcPhCWIRZP6d53zKwHHW4uyiD3oseX4MlghAeoerKorSUMYxpizxzr2zw59i8o8RecA7/77RWD/GWXCnoaIfH/9Bt+XxVNaAkCgVoIPgCaD1OH2SyK8LYtQ7/d1jEEk+kew9CQXyBBR7Gmh6uo977zUf15V3XevdN8OP9cT+HSBLa40OAsIoYnh0wPH+Lq9+51sUWYatKrTST2T4f5QkmhW18IRa/ZgjoDOF7g7cbeV0bMiS09zfiBnf3cF+/x7Vf9yFyxfonztDp6zQYkokp5zEK2RAzpzMVoTeslF6DkOF1hVKlGDXKHxJxpxNn5KIGUrllGYd5S3rjDmx9tSHTVLlZ3BVgCsE2dIALQuaPifXBaW35M4yVD28U4SVZ2oqQlEhlQEfoEVOlBxjRI1SGu5HA+puRN0Llq1gqkZUXpPbJS76OkY4bmEJJIuBvDOU8QwhLKUaMvEe4yRjk9AIDEJJQhfTLM8gkbwSD2mVHVqmy9K8Rx4cUegZ82CGIsEDuZzQGuzRHu5zfEawdjAgzCbcT5ZpFRlx5TniPFVPYmsS6SRgEbaE0ZjeGBLriGXBXt8zihXTaY8NUVDHUxQrrHJMo5qyuwtlr8L2PC7PqZ1kBKVk7jtEXlH3DbKqiQkmIBfsuHlZx9iYVldRdhPKRNB7fQ/KcxT6FzjzN3+VfHTC6HCXY44ZqYhKxTTylOrSGmajz/pJmwpDJg3DYI0gTqlHU17cNVwtpvx0PiK8s8sb2/f43oO3uPfomMbM0U8l6cYaejwn2D/hIYKG1az6kLv9MSq1JCcwp0FaN6SdYy4erZElmr1+SXS0kNfMRY/f/sY+7qXblM03+NzPHnJ5a4nPnO2yWZyjuXaF1l/5Rbq1c8RKInzG6osd8skV8u1N8lGX/VpMeSYh7LwAGwVmrU9w5gpiMmWeD7lj6+iNDTq/8FO84A0yrzj+6xnj4iFWWbJ2n07rBmEQUzGl97ciosGI4ShlkMwoO3W6n3qGhOcR0zlR71XyXc3USoZrgo3nXqTbW6NLROcr16n275H/j3f4rd//Pe7ee8A3ByVFGFKFCd4FhKlBny4Gr+QnaGW5u+zYO15HpAlxtI9q9bD0OTq+i7MtlttL/O3/9OcR4wl2e879E8fGF67SfeYK6vpnidwlaq27hJuSMmowDOpY2aB9/rM0tq5S6zTg8+dx505YOv4DCt1kGHSYdzfoLK/Sa3ZpNE8Ytc9ycqWgMkcc4kmFYHm5SV5IJqMZwdffJLSO4DHAHpagDBdHM+alJZMhU90i37oMl9aZr+2g44CkleBqknFecjx6lXvdLlV3Fdd5gWRpRDN0dOueQir2p3MOdr9NcOEiYmMLcfUGUXedqFCoqeP10KMLQ+8+hF/5c+S25GQ8ojZRiEaMXG/wM199k594uE3xo1v881/7NzxMC3Z0gBEK0QyJtiT5nQFTO2dadyTVmNhLGMeIvE8mHA/MCWmaEDhDT8x5c+MewyVP7zNf4fkXf4pOr8kd7lKVDwnxdNs13mxvUviA5hctiJTKwK1ZHemP0dYSpR02P/dnOa9CPAYhJAWeuxS0GRNT0qVkP0uYuZCits5UjlBMKZhw+PrbnDw44q17J2x/5y77j7Z5ufzeguHkJeFRhHctQt+hEJa4bKGk5vjiLsUQ7KwidgNqvkRjmYo57ZOK6MhyFEV4IColmaoTipTIjZ/0PxGenwkzbrzwec5++nPYOZR2iE9Szv6NLjPdZerqvD54yFJWo1PU6ePJ0gaVSGgENcZyzFgdENe7BKoiECXTkxktWdBVJZgrRCeCeGIor90n5wGF2CYVHqdzwiDjYMXRmcHaScGQEC0EoS85iWPqtZKt5pR7iUaPPPU9C9MlolZGvVewPelhvQLmhMIh8eTOE+YgjcRNIop8BadTfGuXQZWgK0OzOKB/+5ilzSb28xscH1hGlcNrGGSNBaC1NCM1Ec5avH7EslslzjX+bs5BBKUscG6HQzTG1xAVhOEY5QrCLORkaRknHdH8iKhR0pGWre+sEBETdhRz4dkIRzR8RL1osuf2cd5ywWxwRICTcM7F7IkxxxJkehZZ30eT4+Z9dG0AKsN2pyS2hS8apHpOlrWQNqYfSpBTkDOstNSiObGQ1PI6++GImSpo2ObCS9hLZq5PIgqUPuGutcRSoaTCeY02baSpMZZQ85olL7FFwExpBsrg3QDhBVa0Ea6HzRJskSBboCYHBEdDvvb3/wf8ZEZQlvSlIJpowvSjIac/VlAKeCI9Ge7uIp2nKgrOXb6KCgKEFThjn+z3721l+f1W3t8HkHq/ge6PyfTeC0w93l+8AyHJ99kfHg+zfzxv7wWkfizvArwtMUVGVeULX6SPmBR9kgnCH2d6F5NBCvAOU1VMxiOUsTgpIQzBe5ypcGZhdof3yKiOCB0SMMZhbUGOgDBGLy2z1GpTX1mlmM/JphMOd7bZ393h4aOHTPLinYnNY0bG+zyDD1xhf5z/U88pgOHRMelkyvHBIds7OzS7PXrrG1y4dpd2t0u32yOOY6TU6LMX8dbgETilyGczhAAZ1eg/91l6VQmmJExqqCjGArZaRF6h2SGsNdCLyoOpDHZ6enyjSSOMObe0jI5CVBBi85xUgJAasXWe/somDtBRiNSayeCE+2/dJBueMNg/4vVH++yOZozyCinVxy6/x8/FWYuSkvWlJZ751Kc5f+kytWvPYbIUioLVy89Br88kaeIHA7wOketnee4X/hxSKpQOiJIaKkmonMdMp4v7jhvEWxd5zIJwcW2xPU15PFH2YUKyur44j5TkRX5qgv8x67azmKIgm6fYU9M950EYgz8FYTD2CUDpnjA5/BOpIt5TZU/TTN8xcn6XOXJZnspWWaAGzpJXDldr0b5wmec7PfTyMvcf3OfVN95YmKF/wLv/ge+uX/BLpRRksylvvPQ9fnu5x4XLl7l2/cbCJNhainIOQiGEoBTinTyJxxN7j3AWU5WLd2WBOyH86d+pkbV3T03whUBLRTqd8oNvfYPXXn6Z/d1dxqMxxlSYx4CRfDdqszCY/vH0gUyj02s5t5DKCUAJQaQ1vXabpf4KvX6fs5cusdTv02q1qKqC0lqsF0ihMOUiFIQ4BdTeff731HH/TlmLx6+HW6wYLaqmxFizkO29hyn7fv3In0S7+7TR+Tt+SR+NlL2rX5MCqRaRBD/Kf1AIiVIKIcBZQ57OiYJFeyNOgb0Pu++nF1/er03+oG2P//d0VNb33sfTv9973Pvd+5PfCyTqyf5SKaIgpqoK5tMJb79+n+HxIeOTE8oswzuHVAr/cduej0h+voRVjipxCMaI3CPxLEnw7ZyBHqKGgqiCWhxw/J0f4g+OyQ8PWfnMGZJAoXyDys1wQiNkxEhKvLALE28xxxEhZJ1cZATe0jCeQsvFqraDiZrjhMK5PrWshdcGU5vT0gMkCd41KU1MID11CoZumUoYnJzSz9o4LJU+pBAVFkcmQKcxgRQ0YoH1JYWrcEKQ2BWECTnOJaY5wSrHTIRsW0HsQ867PoUyGFlg1ITlKkA7RelqxCKgQHEsJbGbIbxiYrscyxIhK0AQUqGE4SicYXQGwlH3bQIXEkqJiCqMqmF8k2TuyAgolKSVD8FCLkPKpRLLDDkvWcsV1i/6jKAsycIGqYqIqhm592AEHsNUOUzo6XZz8nHAPG3ifYmaK1QuifMQZwwmNohkTmkC5k5jOgpTBNiqg28f4lsWKQ1+WkOOcoJZShRClRiGScat6X10XgGOpBkSZxo/FySlJpWaXAChZY5gIgPqao6kwBrLQRQQ6SYbtZDyi4pnLndZP7hMevKQ40dDdm+fcHdnSFZUpEGALXOkNgRxCoXFWkkVBdQbkhBNkHpGKsUFAbVgBS/mCwZesE/P5xRYjqXn+Fs3yZMa9zs1loshzXNbdI6ucK03pdsQdDoZoq3wgcJuXaO90sQrzagOSyIDCvIwofPsZZxRTFzEirOIWsRUCHZnGmU0olGn026CshShZagNUsxoMsSuraF6q9TKjEBVuFAwFg5NgEpapFeuk2zWSHwAiSBvCraLHV5/eExWzRkfhLzytuftw4qDEmYXVhHZFMqKqJT4MqFygiCYMxUK4TQct1DGooIZkh6urAhqFRd//iKrFy+ycvYMsxeuEM4myKzEijaz9QTXM2TFHYp1i+2ssHz9F8mkppIKR8CoscQoNpS7x7jS4eMErnyBQJckypKVhkk1pjgpOTEZWZiQrtbRLiFAobwgm+zgTiA8iBkHERUlxnmKIoDAE3lDVXoqFFUUMpYFOxRoV1EXIaqSiIlne1oRW0FsEgqfE8ZzmnHFVJdMjCAfSnyuMEA9ahHsWbxfmJcH84q5zxgGKZUWaAU+EMyPjqkqoBRUSYGwFvnAEbdqROcvEEVn+Iyv0fzRLYrf/y4nwZgKQTW3BMrhnMSkXdAGry1VVCEaJ0grUCkIEeOUJdcVKhWMb8/4nf/+m3RnLa7cOMfF6xukesrEOuxhwKyWIVVB5DwmniIR9JxmVlmQhlhm7A+nKBvSU12sAochcENso8lMR+wYAdUQvCFIY0RiyWeG27+3z7e//jts33+bcjDlMJ0xLVJUqp8sCnrnUOUY7xSF7GEEC2nW3hLCOgI/W8wPzaJX8r2ANIW8UBRlE6ULlDQ0c0lbxnRqMVe/lNBqLtOo9zjbPcPShS1aGytUhMzTgsJUGBfgp3VUEUGyjJAxToWM6kd4qZHCUTBFF4pW0acQAWlcYsOMjlQoGZHLOl4VFCqlCOakbJGhSURJRQfDBM2c1YEg0B6z7KkmA/LEIxoVncOCuApQRR3HlMpCHoZoMSGuSupHkKmMUoNVBvLF4pwhID/RmNBBq0D7ES6oME0JY4ENBdWKZKobqH6fJDlDa/NN3GDG8KhGr1nghSebhAgrkd4T2YiJL8gcKBeSRwZBQHvWxhUC5VM2T4aURYQgIGylZA2wXlNkLWyjJOiPmF57yO5LGYlsImxI6dsUxCgBJU2sMEhR0bYBJZ6jMKNmPA08VXxAjgUnaQeHjMqYQtQpom1M1SC0inNWUQQGo6c4PWaiwEpB7GeMRUCOJlUZ3ks6VZ1W1mcUTpirAm0bOCqsgIaCQkTkaAIxA1nHCkeupkgszgbkOqNBna6tsSNAmRhdSmwnpfAZmff86I0jsjsPSe8/Io0DiAMKXyEGAbLuaTf+PUbf+6D0eIKRTScMxIJS2F9bJ05qaKVAPHGR+Njp43pOPZFYnLILPlG+3w9MEh+8D5xKEsQ7ANV75X3vBzi9H+D19BmFVIAnn02YzaakaYpUCp6WW7zPM/igQf4fR/q48hT5eEJhDOlsTiTFE8aEc35BFT+V4TlAKn0qTVkANo8nxFJrVBIQ15u0ektgDb4qWen1qNcSyiLHHh5Rnkr7np5ePQYKnzAgxDvss/fL/jtl4MnTOdl8zgg4PDkhadTp7O4yGg5YWl5mfXOLZn+FWqNJq9NBx/WFtaJ32LJACIkMQ5LVdZSSSLHwTHHWYcpiwVIQAhGEqDhBAThLVRSnjIyF50sQJSTd3uI+TkEWKwRCKXSrQyLlgp2mFPPDfcbHR7x5840FGDgc8uDwmFGaURiL1vrHJqAfyqzznkAHJHHMma0zXHnmWc5evYbsrZxGKDE0dYAHMu/xsxlSB8hmi9Xe0sJk2C/K11uzKJ8yW0xmZYhqx++S0BjrwCxCKgulFsymWvwELDTp/F1eQu9TgO/+6Rb1ryoKnH3smeCe8DE47fjFKWjjn6rb3vsn77wz7zSeTxg/7zPp9QCndOpFNDOPCgLC7hKd5RXwliCO2DvYZzCeUhrzY3K+95bJj79ni3atLHL2Hz3g5e98h9l4TL+/QlKrIQUYY8CZx3s/eQGUEqcDHsBbnD2VUUtxKgkWaPE4mpvA4XHOnj4PyIqS48NDXvnBD3j7zh2Gw+G78vyYcfSuZ8jjtvGT0YuEWBh6R2FAPUqoJQlb6+tsnjnLyvom565fI0xiVBhQmtP2wjrytMA6i3cepRTvUoG990k+ebantG55CjgKTtlDYuGFaC3Ou1Pp12l4iz81VupjtIwnHmWcSuM+CYPriSffU6DPB692nPo+uYXvTJGl0O6+y9fv6X7hg8Cjd53xfSSQ7/3fh0oCP6h/O72nJy35h4FTp89MiAV86awlm80Yj4Y8unuH6XBAOp0+ieb4hxlLfGD+sxgfe6w2oDROLiSokbCkoWEee8ROgpIKGXjm9x7isxxb5sSXmohmiyBMsC5lEeNOk0vwwmMlQAbC40REJTyhc8TOY4XAorBOk0qHReN9Qs0mOJlT4AnlDKU8PqihT6MhxQIS20BIQy5LYhPjRYYP5pQSYBEBSDmHJiTyNSwF4EicIHY1vK2TVwrhZghlMFIycRK8Yt1rRsIu8owlwRI6hfAJSodoKTkSp8xGJ/AmZhqmCFkiCIjwaGE5UTOkgEAoJDUWsfUMwqWMsorR3FNHU4iFB0pYlTgfLCaUjRyXTtFVwZKrkRXFqQxGMA0EqVI4E2GdAeNBOUrlEMrTSAyTuSITglA6RGGRDpI8oAz8IiJTXOJyKCtPHuWIsoawAV5afM0gAoudFog0JyAniMFEFVOdsjcb0CokNecJlSDAoUyFMnIRBUoLKpGSC0UmNE1Z4H1F5RxTLdAqpIbCrhiWul1WlyVR0eFufw8rHjHaGTOTmqwRw9DhdIlJSnzl8U5hdISPFKIS6NyTyQopA7RoU/ocL3JEMKdeBggvEE4wvTdg6kdUiaaeW2oHQzq65Hh1RK8tWVkqaJ7rEPSaBOt9wrCNlYJSGYyvQFiKIGGpUcPrOkr3iVwOVOBKRpVHOkU9DInqDYQyeD9mJiq8N2AziLv4OECTEWpBJSwD5pTOo6Wm6vapdZsEhGilOczvcjzY542XbxPahPS44kePpuxPK6ZOUPYahMdzZOXAQGlC8Aqpp5SA9wqqOlKPUNIATera0mpJzn/hIuc//QxL584yW1miUUSE1iCTDapgTqoyhvkxtt5Atmu03Q1yabDC4bwmR1JWBfl0ihYhOojw/Q20HqPFFAaGwqQUVYUpPFbVsfUEqUJg4cM0P7qHm3jCQYiTmkpaMuswLNjBSlgsHicVTmsyaRj5ksQW9KVEGDCVZWrBoBBC41SOIiNSGWM8lREUuURMNSoOiZohcmxwmEUwuCInlyUDMaXuJF4GmCCiGKdYo8BHmLZdyF5PHPpMgGg30LLF+ahCxJqTN28jTMXEFoyzFC1qSAJkFaIDg1MOpxw+zFBGIkuFUAK8wgSawIE9yXn74dt88+x3mVUTNpf65L2C0kMxDylkSag9zlU4naO8JKpyJqXDaYOXOYOigEITy5BSCbwoEW4McUylFAMLDTK0TymzGWXpmR4W3Pz6A1755qvsPHqLVllysqTII0VcqnfPHX0BVmF9HRNnCzO7cZMwmKJVCWKhpDFCIjVUSuGkxvgAHZSEoWBFJnTjmKVOyIsvNul0z1FvbhGtXSXsaHRDQRChpgKReowb4/MAmQX4OEaICKc0JlKn4zJP5XJUkRBXi/7FSk+hLIEyeBmRyRjvCzKRkjFHWU3pJQiPVQEuWHxP5gLqUDahnGVUgcfVHWveoqoIUyRIMcE5SaljJDmBtwSFJJIVXjmMtlTagdEUJsTPJV5U2LYhlDOEBKclXmtcbDFdSS5C5rUak6CHrleE0wqmMVFj8v+n7r+erNnS9D7st1yabct+9fnzHdN9THdP9/QYzGAADogJChQAUUEZKqQbhXSjP0D6E3TJ4IUYCkXwghe6UIREgRGACIBwIgiA43u6e9offz5bvmqbdMvqIvcu85lzzjSmZ6AVUVW7dmautXK5zPdZz/u8QKJbmv41K0mUl7hVtEChFV73LnU6aZRLKO/IlhUNU1ImkMOAUInkBQmD1Y62tDQ3DpgZR4gS5Q1JlwRRELBEih4UUhbtc0KCpQjcQlIS6cySkDIiUKo5c1uSkoEyEle7yeOUUNrSCk8lzmjVBCc1LkJDpE6h15pKmiJmDN2Ac9VghcMkSUQSkOQS2iTxSa6+D329pCURcQhq5diIiUmSHDFAJQUp0KaWRbtkfr7kkw8fsfzBZzQf76PvFsRMEqSkPZeUJpCVX/wu9efPlAJICa0U7XJBs5jz+3XFnTfe4rW332M6GBC8x3bdK8GVf6uiefl7+gsv0M+VI5+76hKqeC7jP2P1nhc6fuk5q7rElCizjNA1fPDd3+V7f/J9Dg6PKYcjuqYmeM+aifZ8MsZc6C/9RaaUEuJiF78Xo04h4l0f3jPZbiXUfu2iHuF2PbuhTyujb8VAcSnRx0kBVmHQN975Ot+4/zpf/eVf4f0/+D2ODg44PDzk0eEh1nvWMIKQEqnUK42UlyfRi2mvx0nXUXUdi+MTHn/wfv9iLARbe3tMt7bZu3uXN959j929PW7fvU9e9gBVdI55VV3MgYu+WhvvCWLb0V0xCtOFEZ1IXbtia4iL42ujXwiwTY0PvRD/qCz5vX/8D/npD77PH33v++sceuNcStSfISJjCAFSYiAlrz94g/tvvMm/93f/LinrffjPj49RWqGUwvleEPWC4WI7UgdtumQ39K5n6/sQxH477IqBt74vccEOJAQC4Nr2AgAI1vb38Hksm6tJreZSiHjrLupwbc6vxysr0HQNpKR0Ic78Aiz0kjF0uTasdN1ETz2K1lJ3iWVKjN96h1+6fY/X336P3/uX/5xHDx/y0WePiEpdjKmrrm6vSn3xAqU1P/vRD3jy8FMeffYJv/N3/iNu373PdDqlqSq8d72LmurZlSFeggTi6v1H8KtS3YqVplYuw9pkuM7y7LNP+YN/9a/4+MMPeP+D91FKYczabfay3Xp9oy+/MF49N4RwMUan5YDNyZhvfePr3H/zq+zducfmzRv9i4UQtLahcR2pbXpgJaVreIGQgpjiS5lRF3/Xn1fDIYR0bY1PESIC6xw+xL6pUi+G/uXDBPz5J7FaP7Rag4k/Z0Yp0rs8J3jFuhhDxDtPW9e0bYvJGqrzOeLmHUxm+mf31bq9Aiz6MpsZr7pWSnmt366e98Kz/MpYfOVtpwgIpJAMhkO862ibig9++AP2nzzm9OiA6H0fNVOpqxd+br5/llRUJ1CBk4J0Y0IVJDYlFu6QdJ4j4hDZbHOmliz9OaZu4OPP6B494wfNDve/vclX/8qQWIwpYmIQLFEfIeIEFfYQ2lCkwDh1/MyURJ/IgkcFwYIRp2kHpSRRNjhxyvnGEvD42DL3GUlabDln0zps8hyKyGvK0gjBjAGHRURG0H5IygRlEtz2gifjT4ARKb7FjCXQMSUwUjMy4SnUBp95TR0h5rARSgyWg+wTjnRGlgq+2r3BLH9KUC1Z9YA6X9KpFuM7jrPQbx7oJZYzpIiM5TbbZIgoeBgm3O56N5AnZaDI5wzcjNsf/Cn/+J98n48+OeMr377H4XcPmS0cR9xhwBE6zsiaBS4DMy65cfNbPP3p+yxmxyzfgHRyTrlo2OxusoxnNFlNeysnP2vJFo79ZY7JlmSlpRvdwrTnyG4OnDJxoILkKcXF+lLMW3LbYHzC7gfaDUE38dSTJ5SzRFnD6DVJzJbMFgfYsxwZE7nrePq0oSwrBhsd5/EmdBJRw8wKMqnZVDnnqcVm4FSkKBNN7XladyyOAyFpkh6y98Y3Gd1/nV/7+iG/k9/mYN7yQWv5B//6Z5xnntkkEWcCQk4TNnm8D1q1ZNlKkD9I6lYRmgE6Scqk8O0GWE/eLTn1m4wHjls7C/aPH7F88iln/4//nj+9uUnyBeasZPx3JDtv3OHNr/4G35q8xo1Jzu29SHXzPZwZ05oR+59+CvqU+v45s8WQ3MMWlji12Bip54KHpSMQkK0lK/eIPuPkeIBul2QhMAkL5vdLUikZec+ZOwYH5VxzFiqUNmxuT/nuH/53/OCPvs8//M9+QJ5XKOn6TVQSUWvi6Rn5kUJVI07FAMhRRLKmQdMbv/WNI6gj2ETiGb/z9W/wS994E/U/+1XUaA/UkLPHp8iiRevI5iwhXYIkGY5z6tRiQ8NHiz385BxRVuhmm9Z7bLKMp3PGzZDMFnzWOYyP6JTYagTVQFCXgqUdMDqH0UHNsxsebyNt5zmPFVWTGJ7loOE05TgUaXxGzCFlAq0FsoYUBM5kpNQhuyOejAawTMhZ4m62iROCg5SYDjOsy3l0uIkYNOSpptQVdVYijAdVcbpTkhqNnA9pimMIgawF4QQdOedyjNmGqASeDJtAeYsqao4WA5Kz6MU+d3bvcv9vbPKb777D7376z/jxDz7jv//7n9C1uwxSx57YJ24k2qQ4nxW07ZhQeuLNM7LjGbJH0NndtUhnqCrJd//Bv+bZ9z5CPct579dvsHt7izu3Nvlxc86JXVBl+2xVtzFOszzZ52QUsQPJ8UYJNzbIfaRePOW8HdME6DJHpg/IjWDLBCQZVZvz/U8+4+BP3ufxjz/lv/mH/4ZyHhnaxJZSVOM97KCA8/1rz4mQZURjEFbCDQ8DCz+bgs8gOMifUd3ehsKw+ZOHNGlKMAXi/jmjHc+dGzn/+9/+Jv7m24jtO/zq6zBrd5h3U5puiROn0M3ZrxMhjhC6YMQBQd/A6YwQD+mEIpMFb5zfp46BBkcsLNItkZwzDIKh0yQ5xQ2PqGJNFSRKJAqrmNTb7B41HFaJj3VB2H1E2GrpSsGz9zOEA44EdT0k1QXqqETxKXMST7vE9C64OKTmBjnPiBNF3Bqw/fGceVvSsMnDO8+gVXA85J48pfWeg3lC1y0IjbQF9u4OyXQQDrDPKjrfUL8befr0Nu1xhZSW2cwTdUuXNRS2IHlN22oeyIpYeB7fhHyRE0Pk4fghf91+BdkV/JSbTHhC0A3PNgX2sw7RWfJ8hl3eIT1T+D/ax+xDsVNQLHPGW4mBCRStYCZhqT0H8pQYIIYc3AQVE1lKaB+wgxM62bHsMtp8DuTccW/ThQaf5nxaHHNGRotEBE1KQ0wYouIUIw8ZiJZbTDjQgmMEO2VF1m4wqLcYTGYskLikwedk4oyULPXJ1wnjA0z5lG+3DzjSTzhWCxqxy0wdIJXjjnibOKpo3ZIPPpvz5F/8IUe//0NSSmSdZRQt08eSmdFUKuNm27JwmpN59oXvSb8YUAouXTiEoDk749lHH9IsFrzxtW8wHI4oBwNs211xRbhuYL6KHfV8pJ8X2EhXrnnVS+zlNeLa+c+na9LmQqz0L/pCXjRQru8eX7p8cAEkXRjf4vpV63Ou37PqQR6lLndsPyf9Il1IvsiouJpCjLjg8M73odTX+ifXDO90sdH/ynKutJkQAmKkXlaQImIw4sEv/yo3q5q6WvLVw0Oq5YLlbMaTJ49Y1jXLpmYdu0+sdvd74lZ6eXnPf7e6r6vitjElZmdnNFXN7PSEZw8fMp5M2L15k5v3HzDZ2GRrZ5fxeNwLAodeOLmvf8L5PhLl2qDu6UGX4vbX3EsQl6wdIS/cq4gRlCalRDc/59Gjhzx69Kgf27IX0k3yer4v6y/BSuw8gSKxNx2zNZ3y5rvfYPvB60x29/BCEl2g31PrmSQhhSvj+uLX9bm7aqu1lsvLAYvUs8NW93pxf1yZD6SecXUFLPqilOLKQF035Yr91DNeLlt6Xe6XHg9f8ntWdRf0EeLapoUkyLZv8O3f/h3uHzzj1k9+yve+9z2WVdVHhL+6VvDy9e7KF0ghsF3Hw48+4l/+43/E3p07fPW9r3Hj9h3KskRrRfD2mgvUCyxNKZFKI2VvqKcQ6NqW44MD9p894/jwkA9+9CP2nz1jMZ9dAwk+L710Hb2y/oYYLtbOBIzLIePhiDdff429mzfZ2tnhxp07FKMRWVHSBk9aBzmIPXAqVmN7PfzEqrFTihekomvkmKug1LpgAUJcefqsAKn+ekEI/eqhtUYr1bMc0/X8Xnafv4h1+HJJEv0zQaw0sy7cFb9sRgIiiLXy90tZQALotads1/VtkGWMNjdQWkNaMWKvZ3xRz+cZu1/cHuuxuX4+Q0qX4+XqM34Nfl4+1/synwetLsq98szJshwh+3MOnz7m5OApZ8eHnBwe0jY1PBdx9xeRBJD7nCzmDI4KOlHRThckUs82ih6XHDmOsXAss4wuBJJ3+E9/yP5ihHp/zGv/8a8RBwWOnCQneIa4YJDSonxG3k14oxRY6ZhnfdhpiyKS2PMOKTRB7hLFIToasnibs7RERcOuyJgpSMKTS0tjBUFEpnKJTYaAwIspmTdkIhFVIGLxaBw1Ss4JIlCxhaKgkZGn+pDUGfKUYQLkaoHGY0JGozIgYxk18zDCCQf5IblsCAKsLkkiQ4pAbp5hfCChsNLzMDvCRLjtM4JMOBnZYEbwWzif85Q7zCcf0mzNWZSKJIcoejYOKZGCwp1vE0RHZyI/Dh9gXUMwOToYMqcRTnES55Asksg4zcmSRZAw2YJR0ZLriJ8nOhJewfyWYBlTz6qZjVGqQymL0JaQVO8+Sc7ABsZnibnRDFxkQOCwToy8QVGgxRmdTpxLRxRLUlSkakwKEiFaRNZSUhAldBLKaKH1+DaRC0OeHCbvmKscJSJazJAnW+g4ICvuon9rm2mseV3O+Q++NkG6lmHq+O4PfsTJs47TJ4te60b0m4rjchsnEtX8mDws6enGkqPJrH/Hc2BMRTQwkxntpCHWiu50m3GXIaQnjA7ofpxx9FlL+ycLHpYZW8Mxr2/f5sGvJ/TNKe3NhMtyjEyEw4pMFSQNXdGgzwS4RO0DKVPopCnPc7rBjCQCIxkxjJAi4os55cLgl4pZ25CUQqlImiwwiwxtM9S+5/if/Yj9P/4hWi1x1uCFRusKPzBILbg589gUsWWC0TkFijwIpudDKhXoTATR8Kvbr/P6dA/5m/d45xuvs3V3m3MJelEjoyczC6IWtFKj/AJEixCerCnolEIK2Mk8VcrpnGDeeYISoAz5zCBIBOkIweE66LxAZANSA7oCNxYsdMRmji1XEYMiJMmQLbJUQXwfYxuKlKOV4XBbIjqJrhSnEryXCJ3IUs0kCHb9hDraXtQ/U/g84E0gGcsyepwAmws0ChkKlM3wXSJFTScUY+lIyeHzhKotOkDmJAvG/UZsOmJmNVFrkoyMxRwdJSIMycMMlEdNPPsYcqXYmGzz5m/+Dpu3j3lNfsp/+29+n7N5yyFDkq5JnSZ1U4zqiMrjU4Z3GxQusCXOqc4VIQl83jBNjnB2yD/9g/8PHywn3Httj2//yl9BTl9nagpEKGmKBV3SKFEi84pSeabnjkYvkUkS3AZ6Esm1ILHHqPGkWcf7y33OnimOnpzyh//iH7Koz2hnFTerIY10dHnkQAia00ScO2xpMXWOjJJ4o8WfGahhEo9pYoNLAW0EpfOoFGiBdJpIog+U8M6NHfZ2b3PrnZzpuztsPNjitdt36MwGTpc8nh0R7ZLoE9rM6WRLJ3qm5aDNKbqSgdigU9ANKkgTumRQIoOsw6X+J5AxFJJcSkJykCQiGtx8ByMkE6GobcQFQR0j0Z0w7QSvVXeRyyHJFyQ3gHjGytpBTApkiGh3xr7bwqJJKaM+3aKMgVv+kNm4JfqEfSrBj0gpMeAETj0i5kgxRHGGyiCbSmKniUbiNyNqPkd6h7QB22SYWnB/VlHcnrBUMPtsTkOEKMl8hkySWAjktmAx031ggFPLyDn8QOBuZfjmFtSCzvyEcxIhZHRPFFtWIBNUCZI9JM5L7PIO48UnTLZabHnOIpvitYN4hE1DvF+xZuU5iozSblBJQatAmoCXIJNEJ81IRILo3WC1jOikcXan18MSgixtI1RHzoINN6ENu8xF4FDD1EtuBDjNKqzQmJizmTRWabyEvMtR8QZ5iqTxCa1pCAFco+jkDk4NuDOoMWKAR3LYnfL4kx+w//ADTj4MzD47pWlB7nQkLUh1Rli9oBXWcm4MVr4orfGy9AsDpdZJCIFrW+bHR9TLBZOdG7CbKFYviaRXAwVfylXvZWW+5P/0XH7X3fVeXu8X6nDVcHzOxU88f+5z5V81Cq8CDuLCqrq4MQSCLC9Q2vTG4Bf041Wdm/X/L9T9F5iuGtQxRrwP+OAxSSHXxsFLdrOv39elcXi1La+yO2zXIZVE6YyN2/dgJUx849YZ1eyc+ckxUghOz07Rp6c0tsOvdGqulHCt3helP288XQUUV5MrpkTXNHRNw2J2zuHTp+RFzpPNTe6fnLC1d5M7r73O3s2bZMaQQsAUBcZkFEXZG9crQ+mLAJBLplRfcxFXYyZGlFJE7zk/3Ofo8JDTs/MeZFjV9WXsqFeNBSUFkzzj7o1d7ty+zbvf+jblzZuo4Ziu6/roY1eMvmvA7hXQ6dr8em4+v2reXdO7ic+5RqUeOXh+bH9hSpeG6iX4+XJWSOLLMCzSGjt84ftXnb++J6BnAwqBKgbceeurbOzskuuMZ0+eouUJnbdY53rWzxWe54Wz4SvaK3jP2ckJXft9Dvef9gCF1mxubzMcDFYATbpgo11cfwVYibFnKsbQi523VcX+4yd8/NGHPHvyhPd//GNC7A0SpdQL/fDzrC9SCJTSKKXIsowbW7vsbu/wS1//Bjfu3GGys40Zj/Eh4EPAObsCtXvtqvWcvKjDqq2utNIF5MgFk2oNUq7rvxLVTi8BpVZIbVy58impVq6klw6gr0q/UG2pVd5S9Iwp8XMAKD0++9xcfel5iZQiwXuEFOjMUI6GvT5detFVr0+X7K2XMZueHzdXgaX+6vWv9fE16LTq4cQrgdGXgWBXN4PWa3gMAWs7jp494dmjTzk52MeudOH+IqLXxqgR0WBc1msnDQNu2CAagST2gAkdBkdGJOgBEUuMFn/6lNl5jno0ZOvX3iTu5oThBJMPcCmnQTCIIIPB+CGb3jPTsNCRBIQkMUlQBIeWmkSBFZCHjJHf4ER3aDTDmHGsXB+pD0mKAmQiJ5BoEUIThEbFHIEgSI9IGSBxog/PnVB0aUyLIArPQrYMpMYkiY4JlKUXFM8wZMSk6QAXc6xMWD1fAUeaJBQCiSSg5AIhCkiamBLnqiIT8KYvOCXhRWQSA3U0dLFgLjdww4IwUixEIEq12lD0CBERSRHrESIpkmo55hAZMqTS5EGj0AgpsKnGJI+JkTJYSIIoFNpYtHEYmTCdJ6qEzwTtsGcoJyvQp0V/L8qSdCQm2a9LQmOcoOgiVanQCZRMNDaReU0gA1HjJQQRSTKSbEbqCkQEkXlk3lIGQyM9rZRkNqIjZEGSS02mwGiPYohQFiUdYelAZahsQHxjj9zU7GYzvn4rZ9B4NqpA2zU8yU7J7YxQW6yLtDZhspLkW1SzpEgNSUhczOhKi/QKY0uQvc5m4xTBRKI2CFGQO4UwHptX2KeeJnQsmNGWS8b5mKPJW/iwSXl/k/aBJu69xkAmzPKIsJeIY4McWcomR3QJpyzBlsggMUtBl2agO7RMSNH3W5SerI4ILzhvLdpkqDIiphYtehec5XnF2Y8fM//ZU5Qs8TGHKChTxBWCJCWD80QnUx+FbtCQoSmcJhcFSyVIJrE7VLy7d4ev3XsL/TfeZfzGNmqSMzt9hm46dHBkY0uQOR0SFTqEtkgVKVwfzTgqQWEsQUpiylnSIZTESEGqcoKOhMwjA9BBdNCMQdYCaokfJqLyJB3Z8C1dzHDCUJIjlcVmp+jWkUlDbkDlCrxARkXXSSIJrcEkTxEVQzcALEEkok44Y/GZB2NpgiUKSLoHpAgaHzJSaIgColUYWZOER2QBUUdMkBRIqqQBh6TGuhGBgDBpFS00J5KhU9eP2SJwajuc0AzznJ07X2WrvMP9eoef7v8EdWBZdEO6EPCdIkVDriui9KQkicIAgiJGFrXBSgGqI08JX8/58acnzFPOyewmeT7k3tsThuMNtNIE3SFFoJBjtNJo4Sk7R/A1KWl8q0nDBmQiuAL7NNCc1/z0+DH7HwkOPj7iT//JD0iTgBGCPTukywSdCtjU62IhI2LPk7qShCEOlqSFRpDIxbJnvtuEFD2rR6eIMQVaGpQs2b6xy5tv3OGte/d59ytbDL55n/zBDiWSxkHtA8eVJwsdJimMbmiJeARGKgZRM3QGoQcIGUA5tBsSk6JDorXF0uBiR/QlMfVUjSBcb6cliWuGGBkotKexEp8iXgS8b8h8ZCuUiJBBlxB+gI5n/QalkJBptO8oQstMbfaRUyP4KkOIioFcMFMQuoSbB4Iak6QnDx2xEiAUShi8VEQTUYN+TCYjiAXo8xrZeZRNxKgwFvZqS7ZtOPWS7lFLm0BEjYl99LmkBGoETa1QPpLVAiP7oCwmz0jdgNR5hFnSJoEPGhaSQkSkTFSAsHOSTTg7ZaAkw8wTTUurLejEMFSkOCAlRYwCKfpNjyxFvFB4AUonBBqVABRlUsQk6P1J+p3YGAeIaFEykYkBkpoci44baHKkgFZZdl1ilCInyhGFw0TNyAtmQtGJ/t6yMEQmSTZ8jKMjrMBFG0tSyhj5ls5Kqi7xZPGU9z98n8fv/xD9vsa1ihglwkAIii5ougB5dGQiUCn1hcSadfqFg1Kklc5HDPjlgh/8y3/O9p273P7K23z1a19HInBdR1jthv9bwyhrdgTPgRtfcMkLx68ALXAJvCRWG0SCF4+/wvi+enwNSAkuga2rJpaPEaUV9958k42f/pTTkyOccxdG0svS8+ysX6hx9KokVsZD8CTX4Z0jmLVh+HLQbF3nKxDG+tuLTrlq2Kzd34J1zKxbMQckZmuH7Rs3ufmu5iu/9lfo5ucsjw55//s/4NHTJ3z08FNa70irPNQVDZwvTFfqLYRYif9e9oOzjqNn+xzvH7AWB97a2UFrhQ+B0dY2d19/g7/+t/4209EYIUQf7WzVZmv23AV75CV1kkL0WltSkpUleXCc7T/ln/y9/4onjx/ThfBS0ODl3dS3t4uRjMjWYMDf+Su/yr1v/zrje6/RFGN8Z7F1/cIYfhkj4er3z393Ud5zn8Vzk+d5sKufYz3QEL3vdcjSq134riWlSYiVW1i/eH+e29WLTKT1nxWoRb8bnNIlm+PPkpRSvYC3tZw7h8xKHnz71/lPbtxiebjPyacf8off+WNO5vM+st/q/j+vmHUdtDG0bcvThw958vAhf/qdP+LmnTv80q/+Bq+98YDJdMKoHKwin/YgAyHgnaOaVxwe7HN+dsb+40fsP3nE+ekpBwcHF5pXUjznyvRnSFdBTO97pp2Skq3JlNu377C3d5N3v/Yeu7duM9naQpU51lqs99Tz+cXaLdf6ac+Bc1fXugu3vIs2W/Xb892eLo9dnL7yIF4DTlddElNa5bECr/5S1tVVCiumVp7nxDCAFKlWwRW+TBKr9RkhkSJxVQfsVXM3MxlCKcqyZDAcIFdMo6vPxjXId9FOX7KJ1s/TSwg2IeiZUmLdP4me3bQC0kKMpCguXGvWwPPVZ+9FH0lJUZRIJUgpcry/z+NPPuTg8UOOnz27WIeUUp8/2f4cU9fdoolLTtKMQebxpg86ULgCLzytqXizbanRHKWCJm2hVEumFwC0g5qT8Zx/+p//v9n51q9z72/+LR7cLcg1TLKKZO8hkKQcjlFEWzJtBpxoGAW4ayOPRic0ytKpxNC/QelymkpQbQm8UFQhp+CQIhm2wpts4Jih+YC7lPojjLDkaOZhA59yYjIMqEkYlmKbUdrGREmMQxbqmGHS/HJ4wGf5z6iwzOIGSk56tpNy5CmjjIkBC3aixKI5UNDEPVQybNmWcnhAUI6zOAQEAzQPbMlDCRZJJXfI0pzCCjL3Frack8wZ5ahiNFKoXPH46DE6amQhKYDSBpSXeCKFyCmSYnex4LOB48xYmrZB7I7Idw1vfbTE+UQIoFJO68ZYVSInklN3hLdLBvkBuZUMKw1PwQ4cycAtMirR0ghBkw8ZdR1l21KVJYs0YJ40tTnCSUOdCm4mSR5yVOiBtMyNGNuSpRHgO1xokapGEzEhZ9gYOiOos8Bc9tGyXiMSnMEjsCIyraDOx1TFNpU8IEpHSoENf5+i1RR+wk68jR469G7L/+rWLxHqJd35CWf//If8+Gc/41/94Ht8nI6JRDJgTylCjCzalk2ZIxnj7TYfxyWprRieneHLEh0dA56wXNwkKkHKC3ZaiU1DDsUNGH/IIs344fF3+Oj/9RMIJZ2d8I27X2fXWPbsD4l/+zVGX7/Lg7/2y9zKb0AG5/4U525ggkKYGp2Dj4lnxw6/7ckouXV4mxgdQrRMTMS0C4wzjOQdCHNOmhP+xU+/zyfphGogScdj0uAEIztuVZKnuWVpMj7ubpJnM7SsGc8TpbiBDjmL+CkuZdwYbPJ//Gv/I7LffAv5+i5yVBIXc+JZx44wZKF/Vw1mwNxHahuwdsSgjORly8IesHCS2gvsSDHUBQOVsRhIJqGi8IHP1C2G6ZyhX7Kb9jDeQ2d5PHyGijdQaRPZnpNHTyYi587RSY+Xis34lPmu4qP3HjD+8H3muWVZRIrHhjAOuJuWvY83aYSnQzBI26R2zHyumQ8NBTUD3XCmA6nKUXVJd6smZ8DETpicN7TasywEg2BRdMjUcLRIFIPAdNPxVE+IMkepnPHJKZnPyNMW8TwQBg1ic8aZnxKkIYw7Bm1OJjSqhB23IBKZEdn4cAeTK8xfucX/8vb/mvjoAPPdj/jOn3zCB/acPypOuGM78JETCWc3HtG2iifn192G5tYS1rILTzuefnrIf/73/g1v/W+eceedO3zjtW/y5lc22B5k3Cgsy26bLgUObzyCZwYxV6SzQ84/9VRuwdH8R3z4jwSPPzrhj07/AYUrEE7TNBmvd5aMxPsxkqWETIKmycjzmkEZ2NiQnGYTapeTqlPGGw3ZVLI4yimPEqVPHERDyCWDQeT+HcmD37rPnXe+yjc3v416AHobNk4NfphoVIXdbzgfdjRFYNttYLIxShaouSAfVvhBR7ICFSJJeB6WmnGS3A9Q2DEnnHGmZmRFTuMtTee42TSIMKBOJYvNc7QQaDRzImVcMvJLGG3hsbjYctoMmMt95lufIO4EzJOa7OicW21HpSSn2sBJwxjFLTHlZztPGfrAjQpOu4iVmqdZTtOMUckTBjXN+JS8GzM6f53TdE5AImg5HQ0RpUPiyNoGVUlEk9OYhjiOyKGkOGmYKs/tKsc8eMhSHfPwo1PE8gbGawoirVAI58i63kZLSuEGA84B3Rm2/3TI8P5nKNXxWm55bDOk9ky2OuZL2+ujCRguwehAu1Oxdy+x8YYmo0SaY6QqyJavMcw7kJ45W+haIb2gU5FbZJQRfANBbmKRHGLZbUeMoqHM4UmqORcd1WCJiJ4ch1aPyGyJDCUfKo80Txiqlrv+HZ7mR3wqazbDlCxV5CwYhpztmMgkNNkxkm2EL8idQ6gOryOf7B6iY44OGZ+c7HH6ez/h9Pvv85P93yMEh6ZnzxvTj+3B4x2qiaaZSDiDbqtDjjuyJ5YvG8D4Fw9KwQXrASERKbE8PeHxT3+ETImt3Rts797ojbcQLgyYP+su/CVz4yXHnrdOnjv1xaLWu75X3ZQuLr0Ek14CQj3/3fNg1RqAWLssiCtG89puQAikNhglMCJhw1XtpVcnIX4+9sKfR7oE2xIpRIhrIKoXOb9grvBywOL5lMQlu+EFV01xxWklpQtdGu9cH3trMGZ0p+Dd0ZS752d89eiAhx99wPHxMfuHh7gVAIroNX3WBnC6yPLLMyIuDOdV3WIMzM7P+vxipF4xUIL3/NKv/jpbOzsMh2PW7I0YAtHHCzbPRdYrI29dRl4UkCL14T7f/8H3ePLwU97/+BPqpnm1a9VzgGwECBElElta8ODua9y5fYe7v/pb6O0dWmHwrV2BOdeN/5fd+9U2eBmL5mUuNRch4MXFiZcG7pX81/2yZvywMlg/H16+ltOrx1ZfmRe/X3+3Aikuy7sEMq7e35dNQgiQ/Q45Ky01vbHJdDBgcnMPsbHB4ZMnfPL+z3h8PqPzly5uVwGTl1T4GiPk/PiEtm5YnM35+N4dppMJW5MpTdf1mmvWEr3DWUc1XzBfLmialqZaUlcV1nYk0YNRr7yPz7tHLgHGGGO/s6QUN3Z22d3bY2t7m3v37jHd3GQ4HjPdmGLygkAitC0pgUIg1eqxJNbghVjd45plCOv+jVzOwTXDZ91wl/2f1o8fRLryOCJxQSqMXAJPiRW7stdmW4NePSj5hd39C0lXgf0Xnimfk66e17u/Aa8AG6/14WrNjiu3zpODA/J7BXleIuzlpoFY/awZoJdtlF6ad3/k6qZRWvVruta44krePXktIQVEkVbi9OtxtmYy9m1yqXkWqRfnzM5OmZ+fsf/oIcv5jKZaXpnXf7EdussZjXa0yuOGHVHH1dAUqKRQPu8Fuulbz4glgp5F4QpHjII0M7R1zskHj4j+H7LzP/4WbOzB4AZGKlrlOBIdOp32IIwYcpshQUjOtaAQuhel9gpNhTRL0sQRdUIQyagocBgsQlkqu0tyhpuNQBd7JBHxUZJlFiUhiwUiTnFSsFAe7w0iKTSSsehDhp/LE0LMyMjYSCUqRoKM1CrQeIVIki2h8aJDiMhAQkgVCUVrPD4ZVFCMoibIPlrRuasRukFLRZUq8qRRMpHrY+oskZTAyyG7DVTHns9qhagFMUmcG6CkIMs8W+6U5caA+cjgR7u0RyCWgVQ36BbQgf3RJrFRCJcou1NctDgJrWvIRMcghzCwFPMhWZ1TpSXKKlKA040Zo65hbB3dDNowYGlyYMl4ZMm15VE+RC0HiC7naHLMJFWY2ZyRK0hoFjKRB4dTDbWpyWJAhQGmGXOY1QQlmaAYtZpSNChRE1OG9gYVBxBzfHR0LCh1RycNtRrSYPqd8ZhwYk4KEdlEQhoSRiV+a4L+O+/y5i/fYvvX3+Xpk4qPHj/mTz78Mc/yvJcSiJEueESqUVog6TXM8DsIWoKEJjN0WT/fdBA0YkrKodx8Cq3D25wubDAuAlEHWnXMs+pHnCXPx+IE87uJjY/PsR/PWPzVX2G0u8Og3GRoQUhHO3WUAbyDKgpkldDElUZlxIrAYaqZ7m5TosienvAnn/whnzz+jD/+Hz7i8OOOajHGUaJigUkJnyQbx55CJo7wOG+IaYAQkYaGLHXsaMmvfe1N7r3zAPO330CUN4hhTLPUdERSytjsBCRFUol56l3MTKdo1JJSdBgi2t1gK8AkJhY1aJnIJYyHhigklUpkBIQIvZDCCVTO4JNkEqHVgS53GGfRuURpjW8cMmQYX+LdBlGWpELSpIzYJYzvF9bkE8FFTm9UxBYUOY1YMMsqzKBjQMTZxFkTKaNG2xzpSpqzQEqBKp7QOYGQEZk8lR+QRUWBIpohXbIslktUCAhpSRpi0dI6R9UmhJwgY45ohoxMrworMeiYk5wj1Y46U7hMEgaRzi8QQhNDhplOMXqAmtznndd32f34gBu/+5Q/+uwJ56LCDmrifAsRBIiKSelJSbBoVL/JGxKTFnQsiEGh1Tmnf/wB7v3HdOVPOHz9W+zdmvDOey37zwzLylK1z6DrcEvHycOaUxmpQ6SdW+anNW5ZcWeZcLGjC4EazUkaoaXAZBUhCLzv36/CONCNHGeu18/VSbBxJigkoGA2ToznMBWad+/cYecbEzbvD3ltb4PNu+9Q7t7GbQJDTVCKx5lm6gSFT5xtR/JOMaoSeqRBdUQ8vhkT0QjfoTvBMvNUgzlRZIRG07WKs+ES6WEahnjbMbCCUWcYiAF13lLrU0oCnQjMhWVUaJJTLH2JrwXDWFDEkm4A87DBebpNEgJNJI+Rc6NpRY4TJUWaY+glSpIJtElwJjXOTIkygGjZLReoEJGtx2ZDQpJ02TlRLjABSlvRBUFYCHyl8WOBVAmpHSJsYDIocssoOIaZQNzdQM33UeeGPOS4UUVSgpQDLZgU2RYeURsIiYRHjcFJzbkvOH3jDijLk88q3HwO0eEA4x3GejwwSIlBFtjZO0Mf9c/XZC2q2yKZkpPcY9MS4S3T6LBiRDKSQtUkH/BJ0shAFx0dEpdJjjjnLCYykSFiz4D0QSPTDEVggwG1KPHKUKY5Jg0hluzrR4RkyGNBl87xcYM2FczLuvdQAYTy5GpJlixDWdIpQ6sCzs1Y7sNy3/Kz7/yQ5ckJXXPORtsw05FKAfWAAkuGx2rNQCQmMdIMILSeVEVst8GIlhH1F74n/cWAUqu03q21VUVXVeisIMXAaDwmz/PLHfHnjNsvldYMjJceujTuV7muXvzWRqi4cCXrX5TXZa+/uWpDX7Kdnq/fywCpl97HxQv31e/WRmhfK6k1RhuMUiRnX8zjuXv7MqDVz5NetYv+8vqsjJULbZdLcOAqKPV8Pi8Weu3UF/rvhTrFSEwJn1KvAWMysuGQyc4Ou13L3cV9hkbz6NFDvHecLyucD6uQ9s8VxueDZS+t7hWjOMZI17arnXho25a27rWvJhsbWNtx8/YdjMl6kWv6nfxLFtkKEEkXdl//ffD4tuHws0/50Xf/hEePHnJ4evZKJkvPNupdntRKr8n6SK4VhVHcngx46/UH3H3wFtMHX6EOoRdfd+4aYPR82yfStea65jpzpb4vOy4Sly6bVwkW/VHE9U4nXRiN13XnXuwxVhOKyyF4AfC9Gnx6niXyIpPvamVffk8vS1fLvTjvAmTrmUMyL9DDEUW+x1uZYbqxQVwuOKpqOu/pFamutszLy7s6J5q6pl4uOT085ORwn/FoyPZ0g6ptsc7RrUAp7xz1sqZz9lpkQyEEUskLUOrnZQYJITBaU+QFg7Lk3v3XeO2N19m7dZv7Dx6QDQqUMYQY8d7389BH1EpwHaW43gOXmwRp9WWin2sXgPJFX/bt9rJ1cb1vcbHU0oMia5Dqgp5DL26OEH2wAvHKUffCff+i2FRpBdD3ous/bx6rZwvXAaiXn9cDeSlGgnUs5/MeVF6vNwJEEiustQeWeoDwsr7r9MKmwmp+XAJP/Vq5fmyQVvmsp/QVUFqI9XOk/5Gy77zE2uVP4L3D2Y6z40MOnz7h5PCAgyePLzTstFZfpjv/3NPALIkq4UyiHXgIEpwmxl4/UsqIk4GgEklFVGyQCWSCTkeSk6RG4lFUJ8f45TNm722QakmYTNjYBa8trarZCKdICoiaCQVLmZiRGAqNSH3EHSEbkrZE1SLFFjoKMtERIwgcTjY0bCNiYuBAZsPVxoakyI57l7qUSClfRaq0xKhRSaFVICeShGMhl/hgMNGwkQqk7FkKWiQcEYlEC4UnIoiUSdIlhyfQSUlCQ0oMkiIITyJSpQ5FQAFBdARKEqBVg1B578JBxkbM2W0znpwKYpD07hIZ1nQI6clcA4XCDhXdxgRxJjDe00WHCB5MZDYokDZHuYQJp3gcPkVcWlAKRS40TR4RSiNFhkwJYQVJgh1XSBsofEIFT6sNVg/JzZIsd5R5wjBAqowkM5bKk/mGWFWUXpKU6OM0JUuUFmscugOCRrqC89GMLGlGQbPjFUkmgrIEevdEGUoEOSo5stRgFHipEbK4fBiLRBJ1v754QScGBKOwGwPixoCtezd5/cGbvPa9Q7Lc8PH8MV2QBGvxTU2FR9JHLYOEEjkqDEF3RMB5STQBiL3+lc8Q2qEHS0QVkVYT05BcOUJWY4oli8oy95HOWPIPT5g9XZIdn1NtbLLzeuCtm0NUkog80o0DuZWkIIhaIW2C6IkKooBOJDodsYWExlO9/wnf++Gf8sEnn/LRHx9ibUaMWf+uFDWCDIfCLPoASAMcMtegJMk3FKPIKBPcVBt8/b03uf+trxLfu0E6GRKrDNsqapOThGTTCxKaJKBNLUWQGC9YCg8porxAxBHlyne8axNSWFCBQaZojMLJRE5ESgFS4SroUFgp2fEST6KVAeMdOjMoqYhoTMwgFARfEoOEGLAqIzmPdBEdV6B+SNSlRQWFcmBFS6tbmtwxagPeRWwHG8qgg0EkQ1aVWJZ0aUlNRhYDRXS41IvzxyQQpsQnQdU26BSRMhCiJUhPEImOjoEAEQ3Jlhi1RKdAFkOvXRckthW0Q4NXiaAiXWxJPpLajF0zQG9q4vaY23c6tnembB0M+M7JnDpYAhLlSpRL6LgkU4KAICpFlBKZIOsUpIyUJFq3NA9rbIo0nWX5oebo3hZQ8+QDz/Kkoz0+JqmKum357LMZ5yZhkyI1G4jNJaVwvGklMyHxCIRILIXpNX90wK7cnKRWxEwQtcA3EkTAJMewESgU0WiGexO2ssSezPn211/jxm/ssfnWBnc2t1HlfWI+5dHkaa81FwxzpRm6/m2xmSpKKykd+Fz1ukUx0GUZQglkkkgXsHmgKRzSC4iK4CXVqGGMpIwZC99hvCAPCqkkPutozZxRKOkSWOEZmYiNEecU0kERJJOoOCgiLpV4NhFa9fqlwDIXuKQJ0VAkCyJi5WqTEEmXFF5NgQZoKLMObfvnvEqaRCLoCqUChkiGJfhB72ruBOKWgDySdIDlCEkiAwZ0GJNoNhX1UYZbZOioCWMLeSLmgEwoL8iQ/TqSEviI1pB0otaSandK0p7F+QjTLZA2EgETEyIkSBIlVK8DttHQPY50OQQPKg6QFCzNDGVbVOzIPHjpCVKiTEuIgi4oOhXoIrgkiVLRmBqCR4YxG6nf5NHRo0gYAoOY0wpDQjKgQqchPkkqcUaRJmTJ0FAT0yaRjEU2Y+r76K5IEKrrtR7R2FbhfKReHHH2qeXk04onf/z71LknmsRrPiB1JMheAkaGhEqBLrOUwjPEIxXYJuEqQYdGSUEuvjjw1l8oKNWnXtRYAEeffsz5wTM++9lP+eZv/XWmWztMNjfplstVSO4v/9b4MoMYXmJ49l9eO/laZCWx5i5deSte15tXg02vAqSusmiuN8P1Oq3/izEgpERnQ7a2bzA7O+f04eMv3NFd21OvcrH6xaer5fVRsGJMiItoT1fOfAUocPX4l/n+6ud1O0vZM5Rs22Fbi1QSPdniG7/zt3i3qfhrZyf88I/+iCePHvHxJ59wXlf4tSC0Usg1e+o5o+2L2vN5Uemr9UoxcnZ4yD/7r/6fDMZj9u6/xpvvfY2dvZvcvnuf0WiE0RrJ2u2s16+SqtePybXkyY/+lIcfvM8//W//CbWzhJTQ2nDdAL/SVjEhpWA8GFDmGpkis5Mzvv3Gm7x+/y5vf/tXkHv3ScMpM+vB+9W8uGKtXQFnngdFroGTa5xKXB8FLxqil2nNbLw85/oMvmDDrIXyn3Nffd6m7PGI6wDT5wNHL/bry9wSX1p5XgVAXI6ZV4Gw67/BOlzXsZx7Rtt73Jluc+veG3z2X/xfaZ88pvK9S6aQXADuX3Q/SilYgQZnp6ecHh/zUDx88d5WIKpUCnMF1Lxgn6RXR9MTz31K9EzFC5dCpRiWA77+3td4+933uH33Ljfu3QUlewPFWdquIzXtZT2kRBvTR0C9wDzTRSk9MHF1LU5rr7troOkLgLkQEOMr2+1CFH9VkADWFMyUAnlmmEw2KPIS7wLeu5fm84tOvdvwakPHtrRdh3Vfvi5X+9I7+6X0k6SU5HmOsxYhICsKsizH6P6VQUKPlnA5bsTKwzYC4XOXy3Wf9QRC1mN7BQxGEgqJRKKQRBHpX/siUvWXhxgvonKWxZBID0btP/yER598zOHTJ5weHPTgIqvImKux/pfFdjt6s8W6hAsJMRBwPCEdbdABYtsidlo+PqwgC4jCU56UjC1MfeIJOcMQ2AgdH7/R4bpEtYj8yX/53zAxG2yPbvLv/Z/+p3Azww26XkDYjknzXeJmhRM1Kc4pwwZStdTZMTUlkkhLYCMMmAbDOCRyBszJeSRgPpojRaIkMcSiAR01yJqYAj4c42WOk1BJz630GrkAaY7Y8Jo2GI68wGYZQ1Eg2wkue4oksm3HCE5ohOenUvdjLim2uw1mSpKSQbgNNgafkKuOJEYMkycRWErY6XYxGCrlWISaDkUm7yJqAaZDbp6xd/tbiKNdPuj+a2ZnO1ibURSn2GHHQsC8mrC3XzM9aDgmZ3uaoXcEH7bnEPod6aI6Y+AGFGSMxG0W6ZRKzhEjWJxusFyWFOUZR7YgxZydtiWkfsTebCQnacQzctL4CBNn5KKifNAxP9Gcnyi245zFeM5yB6Y/S2SmJt08Q9kzBmqIiJpHKjANgpux5Oj0Nlo5lK7pRENXb9Eud9jLwWlNnQ04c7aPpionNC6nTJrtruRpLnCpJYWa+16igJhFpha88XSl4xkZwpboz3Y4M3OG0iGmie4/fpevtDf4P5zeZ+P3T/jJR5/wj370HdplRuodHGh1S07DjlxQ3wXRJMpPI3nTYCea+m4OTw9JbYn9+DXy7IBB6rhhP+Xw8D6SgtskFsOGoKFEYIEz2/FvDuYU/9nf5/7uNsVvv4f7+t8k39niZmVwwwJTau7v5tSPKyI153sty3iDTA74pXLCyU9+zAff+SH/xf/5/84sTrFkkMZkWYVSLTCn6wwhlCwZsUgdpbD8++aM6W/u0o0M/+bvN/zP/85bfP2XH1C+9Taz7fc4y7cIHx+TRg1y3DFabjKgRUSHETcIKeBJKPYYq3MybTnv7sK5xSvL2e6SHEsRAruHJad54hzJrXNJNrKELKDtgDCd4Adw6DJK5RkKizkeskHBSGgq1WFqi0mGXN9CJ9mzl+SceHBI+uETuntT4nIO50vuLhWzCZyOJNvvFzgBYQxRwiCDvTLCmWfUJbaCwsYJjYJGN4yA2gnmTpJMR+USMxe5t3mAiRKcoagilYjMVOR+lyMAqzzn3YAMw4YqcVlDh6buClSeGPuOQXPKuXIEYZBxgDweolUiG3YgNLqDchHZZEqQFTPzE/Stm+Tbdxg8+Brf/L98h8HPKj76yHDL7pOt3gEeHd2jyQ1ps+43XK3G1jvEZYVQHRSWbGRBR5bAYvEdPvhuzr/8wxFZtiRTHSPRsow5Vhma6RZ51VJoj/36GYgpsVacHiw4G+9gjaKsj4DTi2fASESkUcRb29QnY8IzyzgucdunxMJzWOQ4u8Mkv83/9ht/l/u/NmL3rYJ7bw44WuTMWsFn8pRGnpM440GzSSUCNgVuhpw8dwRtKZ3nLHMcy8TE7jASkCE43bQk4SE5fHtGVm2xXW3hi0/JVcCUgvFsghUdVrQkkXFcCJoyMQ2fYoXBpQ10u83IL1HpnNPxGbmBsVaM3R5enjNXM3y+x5REXoG5YajPNNWhp7vfoRaB4rCjktu0yjHPGrK6YWQDm9byUUokBSaDRyEhoyRLGeWT8z7YS5azU92jjp7DNEe0Y7R2DMsFN2fQDgX7OwLOFcn3YIkawNlwxr+2P+DJ+Q3aRQSeIsYjIpFmYckXEi81H48GyHtnKBsxz3KoIABJnqG7M4pMcv8GHD/JCXUiH3a0WUYiJ2s32I8VCkkzGLLIazZ0yZtij7sbijyveXr0lA2l0NKwdJtIdUhUHa3K6IKAALGo2PIZKkoObWQzKAo/IDW3aHWiVZ5OnTEQLQqPSwYdKlQU7GBY6jMigreabxLzTwjmGTMrcXpBwDGJJ9wMknHSHDLlPA+cJMvG/EN+71+1/Oh7S04//dekGJExsts0pBg59/Chn5LZyFAFdr6yoDrT1OcFAPMMlgXcflSykNCWka3mKU5pnpn8C9+T/hJAqcskpCQ4R3V+xvt/8h02btxg9/Yddnb3UMZghMBZe/nC+hzsdNWdAfqIXy9zbbgAar6oPitA4sJ9ZcW+uKpK81KXvCvHvuj/a25NF4DWGhjrbW8J5MMhk+mEyWTUh3jn8vzrN3fZlmJ1ny8Tuv550+czo65XQ15QwFhbjBdA2c9T7he5C70MIBTXXI96IzeEQNMGUpKo8SZv/fKvcvP1N3nw9ts8+fQTZmfnnJ2eMVvOcTHgn2u+dfS+lwERX9bVT6meMtzUNfsPH1IvFgxGI6abW+zs7TEcjZlsbDAaT9BZhpSK6B22rjh/9oQPfvwjDg8OaLzrjfmr4NELbbP+6Zkvd7e22BoPyd9+hwfvvMfmzVuE7R28LojOw8pd75IN9Vze6QqbpD/hcibKSyNvfc7Vqy/cjdLFpdfa5VXst+tsyfXxdQGra54//SJ62itAiOcAqPT8TT1Xfl/MOuNLmk1KV89e12eVV7oE8F4FeF29d6UUXWtRArLJhHe+/g0GgwHvv/8BNvaShnEFOIkVwPnKdKWMq0b4y5Po+/Vzzrh2tuh1zXrXrlV79IWyu7HBdDRiZ2eH8dY2o41NHrz5BuPJlKIs6by/MFokoIUCtXLLWmUTUg/Erllh65qptI4ydwlKJa5Er7y8m9Ujov+URA8UxyuurRdrSuICeLsKhlwOrX69l0qRZQalNVJJVkEo/3JT6kHgn5flI5VaPd9eMe9YaYlJhclyUprTdS0nB/vcuf8Ak2U983IVqlBICHGVl+wZUzL1fbRmPsV0CRqmNXpNWrHU+pvpNbyurCUikYircRH7n9U4EEKQZXmfd4icnx5zenzE7PSMZ48+Yzmf0db1qoxXP0P+olM60Qx9hnaGU5MRvSMNThDNDYZVYJhqjsaS2GVwUkB0NDIRdf/uUqWCLmaUpxVKORqTqNI2zioW8xn27/0B2+9OufkrUzZ2bqAKRxJHLKUkIUlyAx3Bi0RCYlxBFJJOB/KYEWK/OzqLY5YJfBTsipOe8ZNyvBaYJJmEjGe6wwpJMCU6zZGE3pXIC6ISjJRk1oxxOHR5xI2wh8JwljV0KgciWng6AuAZqEBEg4BzI5FtSRYlbTbHEFFBUccMazZARUIemCVHlgJlCAjTkJAQBjSqps0CW+P7qK822Ba6H2YIYTFmNYnrMSoKNqixY0czADc5w1WbJJchR3uMZi1D6wDHMmrOAZsFXEp4WcJyCi4HFLYbk8cGzZIm3yKlliQcxyNDUxUkq2G43uoU2CODWxqc04TNFu/HyNmAcnjAZDOxuZ0wZoQ2OSpJ9tp+HetkRI4OUSlDYxgLgTMtsTzjSA3JYyLrQOWnSFEixZjSVyBrKl0x8Ns4aXBqyCxvSAg8GqUdpdCM4piTzJPHwEgmznKFE5FliLSLmpBADLYZ/NoWb7+2y/DBHY4OzuieLml/esqPzj+kCY4jo2lr2QOXO5b8DFTS5GGM1uckU/fsFNcSCMyMZswpMYucTgVWSZI1cDZmEqtePFfeZFAv6Q4W/Kvf/4DuRwE5mjDcHfLmN+6ytVewcyPSugFS5EzdmErMOA+H7NcHPP77f8jjHz5m7jcobjgGqiMdA6HXbA3GUJCRpGJRHJFMxBhNObrDrekOo82C+3/rNg9++9cYffUeJo6Zx4RoztgLAtsYvFXomPCyj5R1oo7QK6Hn4kySh4w8KsYhYLMlZ7qhXWR4wAaFSwnpIpOUcNmSugNrYTSpqKWgsQI7aJA2IXxirCNWRjoSKY4Q0iOInObHDLIBQ5WTzyNq7BHbFnNakWyElHN8w9OFkvisZJbNEUlgMESvSHONEBlte0oVE95IsuEp0Up8q7BmhJMGn5VsZQoXBK0VhKolRYhe0plz8qAZ2y2E7DdRNIlCLdEkFAXBd5AF0kDhlWDpcoLLaPQcFTW5zRFDT5YixdJTZxGbBE0u0C6SpKJSY6bHBV5ETgeWb7zxLUwY8TN+THqa412kNjVTd0qJZCl7F+lMRrbMEcvc4rJIGAUCiczBxgxOM4crIioKvB8RwwBhTvBJQIhkjUVNEiJTDJoBnRkiY6IUZ1R+CTFj4rZo9IKkIuN8k0YssFic3CcMI+hEaOCXJ29w+8YG8j8cEosRw+Em335nC7sX6MYds8rR+JwoDMNUMHABgqetNG4YiNqTWqhiz7wlaYbCIk2gMZIsKRSSInlkDcoaGEwIoSWGGh2nKOWReo5uyx4QVImBPiLzBucMXdoliZ61LtMMnXdkOjFhiIuJKghGKeLCgCaVTIUi+IgSmlFrEJ1EWNiooFGaardgt1rSdYaqnSDClIWu6SYLZHNOjGA7g6ojqIgdOKbdEINCoqj0AkLiJpKTjRl57tnOPGdtwiWBPjGMfP/+YFMiVQnVKUam4ObGIfN6zsF+AtkhA6haMuk8UUaSlOAk+AzrJmxyRpKWqAXZsyGDM0E584TK0bb9+62yDhdgmRqiHDKg4FY3oY1nhBDoFnNOm8QgZQy7+9j8BC88A+2BnBQ0o2A4UxBkYLfTJAxWKKKH6EpizBC5w8sWLzyZzIEpMXnyoDjH4USEYCjCBjppGhK1L3BxTB5aJilHMWQZ7yGzM2rZcbYsOPnwnNmjEw4++VNmTyvsiaVzE1LRonSHamAaDXk0HG1PEb4mxZrFiaZ1kc4EMp8RqhGhznFRE2RNEg1dZohSvhzDeC795YJSQpBCwDnH/qcfUy/neO8oygGDwbB36VvfhLhq/L6EuXDl98sAjd5kvM62eN72fhHouGRHvazun3dfz5/zZZg/1+xpIdBGY7Tu9Vmk4PO68yKK378rL+Fro39t+H4ByPRF6WrfXO2jL2Ktrdk2XegZaCor2Ln3Glt7e9y8dZNJOeDk4JD94gnPDiW1tTTe473vBaq/AOB7mfvX9Wa4DpQG75mfnTI/O+0jkJVlL/a8scH23g12dm+QFyXaZLimoZ6f8+RnP+H9jz5mvlwiRC/ULsUr5oFYuzr1xl4Ctjem3N/bY/fuPaZvvI3Z2OY8RKK1JO9fGFdrG/3Fm7n+UVz57hrociWjNcNnZYZ+7ji4BGu4AMLW80/ILzl2riNGL9Tt1Te1Bi7WVV9ZyGIdkq0Ho66HjOznm7i6kKQXWSgvLX4NdgtFcB6UIg5y7r3xJhKYnZywaDs652i77kIA/cum5wHb9Rz8Mtddr/tlf61BH71yr5OyjxJ659Ytbu3scvfeXaY3bzPa3GLr1l4fQc97rLUX/Z5rc+keKJ5j2qza8armUCQh1kDfBbCZVkhH309rUtrF5sHlDgIkSBdg6wr4uDIuX9Ys6/GnRO+G2Ls0Poe2/qWkK4Ey/gxL6dU+7Bml8pJJdv3MvhTRR/fTugcJbGc5Pjhgfn5GluVoJVeBSdbs0Mur1597/Se+RHuttaFW/bCa9GtXwzVzb82aXrv4C9FHoOzajuODZzx79JDjgwOO959d2wj4d+Rp2KelRruM0pUYk+HyM0K+RLfb5J1n6C0nm5AaDVVBKiJORLwEJFhpWIqC7aUlFhFZRKwqsT6AbTj74/e5222Rb98mZ0I2BDVweDdBpJxM5EQ5J5KQIYeQk6QgpEhAEFK/G9zGAuclwgvGxUn/fTRECQmJDpogBZ1UBFUiOcekwCBp6gQ+JaJMhFgQhMAox8T269dMezwZQQS8aBGpd5UwMuJF/1PLyEar0SQwVc+STBqfBDEOQILUC1rhCClRBgmyAyEJyeJlRZSQyV3idkDsdLhOo3BolfACkjfIqCj1ktNcUpdgNpbYdkhsDKockhMogkOlwAJPLQRBdyB7hxDZjCCwYosW6NRQiJal2iWpSFSRbqjBSaTvAzZItYLPjwTRKUJStJmEboCqpqiNY7JcUWQGKU3vMgZMQ04dBZWKqGIfFcfIYMiEImmHK+bUMUOHxMBL1KAGJDEN0MLhZIuTFWW3g9IaoRStmhOSxiVNMgGiYeRzvOgoVCTXAWN6ZNlFiavbXgetGJJeK9nZ3uL2xm0W+0dU01PO66e4dM6z2PHMKIoi4oXDDgTZ0iGSxNisD15gPIYForEEIei04baqcIPIYgOUEySviXaApkIlgexGZKHG1pafPDzG1guiLhA3tqhCw807A+7stbjhDlpO6CxU6ozKn7N/9iGP/uC7nH4ypzO7DCeOXHniucPbXkPKiUQmJSlBrRuyIqGyEoZjpqNtbu1OGT+YkN79Bty8idp3SHeODi0DaRBeIIMgrQCYIKCVS4qk0EEja0hCkYSkTIFadVjdIBuBT5qYJB7YiILSJ7qso3WSNkmyTUfnJK0ThCzgrEQFgS8ETkas8MiuIGFJwtKpBTpTZCZDVQkziBQbgeYDTwoCZMZiGEmzDGYlzegUkySZSMigkZ1GVBLrA60UdAYGukE5iQgZUUEQgqAluS5QSRGRJKdwMeFCxGULsjRgypCGJVH0W9eF6N10I5EUQ//QKAIxJGxQeJ+RxGr8eoHKHMYFBl3EioRVUGXQBg8SnB7gFwonA7OJ4+5rb9ElyVZ4xtQPobLY6DDLGk2ijSBShkmCoXScDSJtCWIkEUswDoY1nJa9u2nWttg4vXAplAgkCRksYhtEoVFV2ev7OIfIIzrWEAJlHOGFJOpEbgZ414EImKIBDTIoyjDma/fe4J3790j//gDGmrwsuL2dcZBqqmCpFhFHJBEwYoQKEqKg6gQpTwgdSd7hVA/u5SEjzyBTnqWKhCAJEaT36FaiG4kZlrTqjC4sUd0dhFiQVNcHQhGif//BERP4pHB+2Os5iogXS5IKqExStCUhJrqQgICnoIslO64lRk9AklmNdxIVEmUjCIViOdAMgiV5xTzkiNhHmGzyBVlYIroMfI62AZ9bfO6RZoJOCkWikS0ZgmlSnJc1uogUWnLsBb6TqFqQ44gq9M+jViCtYBI0ZriAwZJ9mRDeIr0gt4ZchB7EajpiAyFqfCzoYzhGyuQpKkXRgZo5Bt6TYqB2gIuk5LG0XiPbzgABAABJREFUSDUk0xkTMcAYSUyW5dNnnO0mwmTKZtrCpgVRBErtMFEik2LkcmZZr/81aiVzobBSQxSkMCAmQyxaXGoJeIwoSL0yHUSFk5JOrAI8pQIRM1KKtNHQpYJpChQYspTh0pjGL2nCksNnSw5/fMLxTw74wYdPGDMnxxPUa0QVSdoTpCAXPbvrpCig7aCFbiaxOuJV7yaZXEaMQwIC6BApYZW54Kt8UfpLBaXWhso6As7i6Ij58TFPP/qYrZs3uf36m9x/883+5TgkurbpWUBXgJt1Pus7flE/ihdbYsW8EIBQ8sKYeR7seBWL48/C4HnV51flY7SE6Hjy0Y/58IP3efzoMUrrVzIkLgGA+JeOSSVY6cQE/FXtkz8Hf4nPA6Reyba5ktbR6YK1nDctQgrUcMrrv/HXeTMG6FoWJ0dU8xlnxyfsP3nM6ekJz/afcTybXYqjQw9uXXHL/LPqT2ljVsBPoqsqHn34wfpg758rJFLpPhzsinoslernwcoC//wiL6NVNVVFsXeHza99g413vkZVNbiqRq7ZLhdT6OfroxeZY+sqXNd4ew4Ofmk+l+25vqZ3z7m89y/I5OLYdabSq8fFq5C3/uF6+XldKfncNfLymisC29ePf/GEVLpnNLV1y97b73Hzza/w7b/6W1TPnnD05DE//uM/5gf7hyys7cfIlzS2/zxceBOrSHQxUmY546Lgzd1tgkjkoyHv/dXf5vU332RjawtP6iP9hcCyWq5A6ZVo/Wq+RNLKFYsXwcPnvlj3gkhp7Sm27tmLfwRXeuG5/Natv8Yp13/D6vjngaN+BWIXeX49ashfKigFIJBSPccI/TNcLXvGHSu30JfOgP5hCLIXnW+amh99548hRl578y1+7a/9NdraE0I/IS+ZxSuGU0oEsdKQIfVCs+u8r/zuH2lrQfUrdRTgQ49SCSnQ2pCt1m+9Coiyv/+Ezz74iIMnT3j68OHF8/HLuCb+Zabz5Dgh8NaDJWc+ctIkbvEZrdLsZznupEaHlqyAljGlg6GPcBPqVNPZE+quRDhJ4XLqwSNUVOQ+BzpOPjrndz/5lD21z41fv8u9/+gN3hjcY0MoNrH8rpmj7JCd+V1Ox3O0qBjaOecmIYxkU0V29ZSuMyysYimHJCUwIqeWNXM6Gt2wRck4KU68ZaCnFAKGSTPIPU41LDjiraIgJcUTO+WT/AjjB9w4f42dIlKZij/NjijjlJgMpw50OSPIjqVoGJUOgyDTS6puCyEEbnDMZHYXHTV21KLziiQlz8xNZJJoAmfFjKHXDJee/Ad/wO//9Lt88PEjACbJIvA8zhJioyWajCfpNTgBdWIZfPIps3ROYMnG6Zwqz6hzyVabUJkn15EmbxDDIVJL8sNnoCEpRdtuY9iiSB5fPaa+LbAbkA5rspSRac3gScSaRNCRm23HTEcWRsNpjneGkBSndYF8cod88BX8t8/oUsKKxINwA6tyBIqhKxDC0coZFZs4swSz5PZ8hKEAM8KEnNonGtdi9Abag04B44YIEcC0ZK0ipYzIiCA8ISYehxYx24LMY0cz7vkZIRpcHBJTxEmFLXI+buaMvGF3MGHnvR02vibY+rvw1se/wXmseFjU1GePODie8eNPjnl8/gl20cHhCe14Bz3oGJkjZh68i6S2pt1TBAmpToyfJoTraIpTZqvnbs5TZgbisMDd2ybbf0zyx7TiCR/8kw/4IEBnGuRUoT2MHidcWZAKYKMlleDfTrB8wll1D+UMmXgGOQQRaUxNFBHlC/LFXaSd46Tjg2dPee8/fAv9V9/g6JvvkH82Rn8sSQI24jZeeX608wjjQXsoWoH1WySmTLNzSikR2vLIKM5Cg4yBPd+D+0JKptGBTkQJ5wyJnQYLMixII08oHM1MMxWCXRSPqxGZECiV2JcaZZYoeYxYbhFigUiGN2LifFFyFAvaXDHKM351UvLfdZtYF0A4Bs8SYCE/BV+gpCPXDffiDjfGhsGdBY8fTRipjtu5ZXG2h9aefNTBwuPUAmdOmM2nRFPgRiWjUtPFljNfUdabOCOYjyv0scUlTS0Nd5ptKhV4mrcUKiMpQDSEWUPZlmzEATELeNHRmpaNVpN5TSYzprVH5QK7JTBhAUpihhmHscUn22vv//brvPNbb/Kfzn+HdLhk/slDPv0X/4L/+qdPOVm2MIONtiPEgo/FfdKwRZQgYs7m0WOKqunfEbIcScLUNfbOQ6SA8dPEgN5NaZEaujNwRcaCyPTZU5Ts+ORtweATS7bosMMl4w2IUnJw/JC3/GvcH4/59W8GqECVA8Z/+5vce/MbDLZv8FBadNUibMvH4ZDNk5JxXTLPRB+NUAqOh6d4k5FkSakbNrJIIaEqHzItBSoTnIY+KAgCxkogK0VTaU7kRi9yLgM3qiFVLqiMQsYOaTXKj9ga1BjbYboOc7bB4aTlZLJg56Rl4CY4xnxcbDKInuHC47uWUio2lSTlx7SiYy4sW+02eVhQUjNTGpErpqXgyTwjzCOGBUfNkKQiRXHcPyATsChoxy0jWbDtNjimwweIbeTprYDuAubcUbcZSkXa3KJmGX4GT4HtdkirOw7LGe24ZSIEt6Ngn4xBk3jtx6ccbuUsB11fzqeRMgkmReToPqguceNRxzxGrLKI3HIODKPh9Q5uv/YYUXqOHh4TfcBFwfEE4mcjVJWYMiNsLJB3Nzj/5i6YQPv4Ef/Df/p/4zf+F/870rfeQv3Vz5jaAhEVB5xTOIv2ijPGOFkRdcNcOQ6jxiXFlvaMVxpwP9EdOkRyApvqgE4usUnyQfd1iJFCWKJ4yseqY07O2/UN5Mjhcs8zcYNj7RDplOao5MPfW/D4x/s8++5/2Uc5VxL5lZtUOGo3I3/6DHueE7xhvywwWw4xqIkfLVHKITSM2xZSiRM5lBY2ThHlEcXDHOUc0gUO4hidRbLsz1FT6irj4xemV7TKv6uWnD59QrdcspydMdnYZHN7h9Fk2u+eh0Dw4dIF5/NAoxVYJa792+9WSXFl55kXQY91Xl/ExrnaJi+AJtc+X6/jy1gJWmtC5zh8+JDjoxNmiwqjNc65ixfv55lA9HeDIPCLTq9ifLEC+Ygr957n3Gv+bfL/Mgyr66yQK/W5Rj9jBYKumBoxYa3tR4NUmM1txqMJxfYem/fu09UVy9k5R4eHLOZzzs9OOD48oG1bauuIl5leaFFd8G5eAGuu1IEruKqU1wCGlFKvR5HcCyyrl7XnVSFtWLk1xchAwLAoeP2119i9e59sa4embgje9X20zu9FYtFL23YNol0FGtOV4y9NV0Gk1PfL5zEGr7OtrixeSTzHUHpFSisApa/Uc2X0J/TNFJ+77/WnuILzVsAf6/ZZw2v9DV2/TpDSVWhknV6coxdHXtUGsDL0FaIcU9x5wK2tG2zcusuDh5/ydH+f7/74JzTO/bm66L4srWtstCLPMm7s7PLgjTe5sbvL7Z0dfAwIY9i8cxeV59TWEuJqTY6XblbrDYCr+T4/3q8BkvQg1MX85fk1FVa7D5ekuJXe2GV0vhX0cRFv4TLYQiL1w2n97FiV2i9XV9bXVZ3kiiklVvM7PNeXv+h0/XmTCMHjgyfEP/tav57DgtQDSa+atql3rcuzDLW695QSWZ5TFEXP1JSCuHbbS2v3XHEx/xI98CVJICIxrID0uOouWF1/2e99/wiSj6vxI1FSc35ySrWYc3ZyDCkSnOPwYJ/FbEa9rC766t/1ZG0JeEwWOD/XROUZicD5JIGWSG0Yn/XrS1QJUypSamljjegM3mcIe4MkK6LQBJGRhUgRAkNnOUkFkRwhSg6ZU/3kI878Pp/uau7fK/ja25FcDhmJkt1CEKqSkDSCkvGwQUjPPoJMRDLjmI46pGjwwhGMZ5shjpzlytUuSxk7oaCkxcvIiRYoGciSZNtusiQRhEUKz8iNSEkzyw8RRY5TjhwopYUkqMSQsZ+Si8SNKGh8SY0nxRZvZmhgFARucIpFIJXH+ZJAhqVgIBwqJSprEGWJVpb0tObkh2cc/eycvOuAXpgVCdkiInG0g0OMhmIiuLGzzb63VF2HP+ndDQRgU8I6iYuGTAWymcdIj5hGWsBHiYlzam/oErgxJCcxZwo3DoiFJEWobuX4ZUZqNMuyoR3lhGzAxsEc62d0osLfGtOMPUtxxrF8py+HjpnSBCwqOFotCKEk+gE+SMZSMBEZeSrplKPSFTNGZGRsr0TudRIUXjHPFwQhCQ6yYkQAumi5ZTepVeSkcCgbESZA5jjv+idbpgNKZ4BELxXjoiQqyWkGNpuD7GM3bmzfpkiem1lNe3ObyXLJ5s0znt25RahqdNPxo9/vmM9nNO05OoKMQIB5Cmgr2T7OGfkSm2BmLcYEVPIo52jFgJhFUjzGTxTCjyhDzlaoCBaetVvELpCSp1OWYWchwAJFYSJaaNqTTRKCoFvcjmdymsi8RuZ3OJ/OcbElf3bCrZi4sTHka3/zW0zeeheX3cMe5wS7QAiPFREhDUJEtjtPHTJc1ESRUWYNuWjJGZCCIsbEZmzpVEZQiqADTnhc9MxkpMBgMGxHjVUVh7LDM8AqRZSQR02SiU4myBcYJyi85FgOGMaMXGhkdCA9SQVCXiK9JHMO3UXmdc6HyynS1IxTRpZKljtzRAOqUvTvMQofDJ1a4sKI0GQ4HXvmU9vHwCFqZBJUMhCzxNZAYqzDO4OPkipvCb4lb1rGQaG1QCYIo4qQDCRBoxb4oMndgDSZE5IknuaMmg2KFMmyI866EmSiEBFES6cTSynolokYEuPGEYqMoAIpnZJ8hkQwzAqEy2mFop4KdgcDNjZKvjot+U8++wmffHzOv/7/LujMx8hguROO6I4ndGViNj5kEB1FJghTGGeO4BXkE4aLDKED6tacGR7vBek8o8sCSQTGp+e4HFpVEh4PSM2ciKNOmnIe2JoW/Mr/5B3ezN5ib7THg6/t4tOSVESyr24jkqM5PSIj0SmLE5EUtnFZi6ZjKCVNEfFakXVbaN8CnokqcXWNlY7C7pK8I4rIJA3QWUM0FmtLTAqoLLLtLSETJCHR+oyhNxi3wanqtcGE6jhvArnX5HGEynJMhLKxtKYmQzNMiuQtebBkwbJvWoIu8LpgiaCJ/bN8oc96dpcv2RwLZmbAgTMEdUYeHYMQWEaHLSRuojBnQ1TokKIimSEiT3SjY5zokE1gtIBxbFEBpI+o5HGxwLpN2DhGxoRuNbMbNd4pxGKHfOhIQXK8KKiLcxY5PJUDDjvDuQ9oA9FkNE7StpouDhEoYoKAI0RwTqN1RZN5nkw9o6FmKDMG9RbPlmc0wfaWd9kilEEu9tDVOaMmsTuKHOrEAk0dRkzKEbcGAzYRFJ3EejjSA0ZhwiApEImUeoHzhg2GKiBjy8Bu0JiOmBruRUsXPZFASArlt8mSQeAIqUMlT0pTROjf4xbFKXXraE8S/nuH+OkSqxZ877ufcfLUsThpCM4xGHl0mYjhgFQ7aE3/boWid7wFXytElyjDOf3TN7KY9hsLmQtYqxEVaCfokgUiRiQmGy3B5QRbfuF70s/FlPoiwsLPldZGiBAEZ6lsRzWf0XQtWzduEGMkKwqMMf0LsRQQubjmIptrWa7YU1f+X5s6a2ZU//lFgOjzWDifx5x6KSvqSjkvHHsuSdkLArfLJXVd07UWk+d43IVm1quTeN7+/XNNX1Zf6hKQevVI+bJGxOe5E726/Ms/FxDCc0bu2ih1zvX9ISWqGGAGkkJKNgUk70hty+nhAbOzU/afPiFXktlszvl8QectIUTcSwGCS+jpeSzpeQDzVS6AV4+9AHJd6+grwvoCjNRsDUq2pxO++uYbbOzeQA1GdG3LavPkS6Xnx/4aOIHrc+qlad31l9Spa/d4LU8hXvhulXkPCn1JcPMCaLhEBq/VdQ02rd3xxApwun5sfXydRW84X8/pCjB18eFVrfrFdb96fyH0gIzUOdlgxHBHcOf+fW5sTJkMBvzso4/pvOcXC0ld1qssCqaTKW+99RXe+cYvsXfrFpsbG7gQ+joYRWctne1W0fBWekwrxsoXsUxf6vbJVWBKXG4YrF2YUyIJsdKV6q9cPwdiug5MvdD8V8ZGiomXlX6hfSQEYqXldeE+Knhll/7CNmuuldG7PPxcOn1wMUyvPgsv03Xw2+hefHp9Xp7nFEWOuliXVnpfqQem5Gq+9p6VAiUkSfbudz2Z8HIWxXTpnrv+ro+gl/o5JyQkgbOO06Mjjg6esf/4MdE7gnOcnp6s1hjRR2z8/4MkvUaagFCRxUKTDRJmEFjkoLXAaEnmBUEInEwIk4jK04kGsUgEVyDsFFHUBDQ+DShSQxYSefCkoAjSgM5Y+Irm2RmzEwe371DXA6ZbIMZvo7JEnnmKSuJiBtIQ45JOBGZCkuEYK5hqhxaWKDqCqhiGCRZDLQMyZOiUYVJGFixJJJxYgWlBM3RjzlQkiIAgUIQBDpjlM6RJJJFQQWGk7wHMBGUoGSaJTor9oLFYEBqZ1WgRyW3BPK8IIlF4hQsZPhV4oVdrgyRYgxgaovLELtAcdDT7DQZPiH3bCgV6KZA+IdQcpRM6MxRbt9B2BrXHzQwkkCnRoXBIQpJk3pBFixGesGFARFIIGN1gQ+8GJktB3kp0K/FDSdIQDYSxInSK1EjcAHxpiKbEiBlJVgSVsNO7+IGl0zNqWVAKixGhB5aiR6YOi8KHguBGSByFhLFQqGQItNSyohabGHJKNJX0yAgqGjrZEpKCYIhZTsKTgmPcbJCURWQWGR1CepKILJPAiIRSEZTp3bdaxTAraUTiWAucaPvABEIyGm4jUqQ0GXp7wmCzY2e0x9aDDehqymVN+9kzDtActgsInmADnbVULpGsYrLMKBmyDqKhdQ/AyxAQaIQD1VZ4NUCLjEEcMKTGRgHdCGE7hHKIMpG3FlxiWWnyDUgYZDUm5h1Je3whKHRiFCQmjenKCiUt213gtXzC3Tu7vPs33ybbuYdXO7h5wIeGpFpslHhlUSJxx4JLGpdyosrRakEmPTJMiSiIiVGq0DLHSUM0tt8cDIJGBKQAhWAjJg5Uy0zWxDjqXagSmGSIeLzwKNWhnUBFSUgZKWhkMpjU4ZXHZ56QFUBCBYuxUDeKZwuDEHNyqRkkSTUISC+QUazkARQharrk++e7TQgZSBGC06sI1xKiphYdRiYGSiJIiNDr+9nUR63MuoARFhkFKYLLexaT9I4m74hWYJyh0x3RSagycl+SqxatalzYQiRJrj2eDqcClbGEymBiYtA5YlESpSeFChEjSmQUlESvsEpTDQw7E0U+HTHY3mHnnmRzeMD3/7snHKmnJFqmcUa1HIJPMJyhhEQZQZgmihDxSdPpIbrOkZlD7MxpCXgnMZXBC4EMkVFdc7ZVYrVBnheksCQIgY+awgy5Od3gN//G29wuHjAp9hjuvkXMz4imgQnUhzW2mqOlYDkIdEaRpR2C9gRpKUSkKyNCZxT1iBgt4MmFZG4TXUqM/AYhVvhkGYghScSe7++HYFp0ZilCwilJUCBETWGnZL5glnucjETpaJ1AJI0UOULnyNRSWEVl+i2APLXQBkx0qNhvWPRUzEC1iiarA4RsSadyos4Z5ZKZzJn54v9H3Z89W5Zk553Yz6c9nenOMUdkZs2FQoGYAZItkt2tVrfMZCZTt0l6lZlMD7J+1P8gM73qH5Bag+mhJWuxpSbZMJJoskECBFAAqlBVOWfGdCPufMY9+KiHfc69NyIjMyKzsgDTSssb956zt2/f7r59+/r8W9+ilBdkMVKEyCpFkszwWZ+dVQTXA9AiQxpHLOe9zrLrtb4mWGQShAA1iZAKYiyIeUTFiHQSO7DEukLYMSatSEGx6Cri4BxnErMsYxEr2lCjEaAyXFA0TqBdBVFjDSjn+0RdPpGkxEqoq8gizzAhZ1BPcO0C612f9KW0IBViOUTaJZkV7CJRQuCFpKOkLHLGZcYIiXaB5CFKTZYGVEiEaOgSxKhp0pChnpOJCNHQqpqEY896ZinRCvqsoXGIShlJWEgWScSmASJalHQ0zJmfNcyfNYQ/PkfszWn0BR/+8Z/RNRUhGKo8kplAngcW7ZK4MqS6f7/1adzpAbOuf57ztKIIAk2v76boNxesy8ha0D7S4dAyoRQUlcMtM1zzesjpjUEpreRlaNYXCT//wpYSQspL3sHi5JjlyTGPf/4z9h+8xe6Nm9x58BY7+wd9SFZMvRh6XAMh1xz9F7RQ4BWL8BftZer/FwFSrwOtrgNel/+mz3MGrs6zPqBMxq/8xm9w+PyI1WJObe361l7NIhJCvJAB62/aNkwa6EERJcSVG/+KOn3ZXe0vCqV8g7M/Fy/oWVPqso6h6/BrpzauQ0eU1AzuPmB8/y3e+c3fxi9mtIs5i6NjHn7wM54/e8b7H3/KwjkCV0LCG0ZO7yCv6/E53uwX9dvr+rTIesfRBU+mDJPBkN/87vf5xq/+kO2bt8h292h9xFvHht30uudg0zZf9Nlrn/2rG+/BpTchOn2mvHSZPe21ktxrIDSGQErxBdZaf+lAn3p+4wnHtVOs11faaEddL3LjeF9Tc+fNxPq+rG0ExKWSSCUxa4HtEAInbceZ9Zz4SKAXhe515n45zvhG2ymEwDe+932+873v8Y/+h/8R88WKrrOcLOq1NhEI1/UaC6Kv98usxBfK/YJ2E/SL8s1x149UajOfcynyHennmiR6Z3RzToiJsBbI3oBO/dDYsKsSEghh0+efHVlrsuEaHBHXPvvbmV/XtUII0GvWrPwSY/Cq3RNG615cX6kXgPoXL5UuwWtxjaGYlwVlVaHXmfEEfTjmFYNyw3xK6768Gp9RRqJIPYC/YWiu+zFtgOf1Oy7Pc5TWtE3Nv/vv/xWHn3zC7Oz0BTBfSdkDV+v6/v+D/Zo85VgojjG07YhuUqO2HXffhUYEFtris4LKe8ZNwxngJwG/LWBkSWeWdOz6eSsohMsRhaBRikZpRu2IrqqpJ0cUswKxZrJx+C949sTzh//UM/69v8fW9+/y+Hfvs7WVUahArlsu1pkHSh8JsmaZJC2KaAZEYXBJUwiDiQUHboetTtIQeGpakJFJSvx6o5jHIU4KatNQq0AUiTL1zoMXhi6X4AASndlCqhWSFh0eE+M+c6F5bhq+11XIBB/kmvvdO5gkeCKP8fRMjaorOMssVjry4FjJgiIo3u4mHM6PaNSc7N4BO7+2zV51wcePWrJzg4gSud/RdAPEQlPaDrdlmanE9M9WwBagaOKMzc7KihGM58hiDouC5Q1BKDLSR/cxekqmVuseDogExaJgx3nK4PjwozHxVgM3Om59GJkOGuoDuDkRPD9O1DPP4T2LFglJIkyfIPcV5c0JN8UxJIUjMS3OKP2Ewt+kcx0lhqGBsdGcyxXvyTnfdJEQPVlQhHzBMiyIQJePsULTpDG7i4YoHc40zOZDJgjeFhLEGTpZJqHDFUuwBnuWI0tBJwJNaqmaCiEMqVDoRYXWHlO2DFa3yKOmEhmwZKmWHIkL0rmhCkN2wn3K3Ql5JjnIBvzP9x/h6wW1nRGefMrhTx7zx//Pv+S9I00jBKdFxz37lEwISmPoR4vEVRV37A55q+DDiocxoarEnbsNT5ViSSKlOXnuqAq4Mc44mQt85xm3LZOTEVEpZvkhdndEECU83WJwc0EpGo4/+oAHesydt+7y7//nP0Dt/Tp6fMDWNizsgCZ52qJFFCXGFxyceWbjFdF4qosJMasYmgydJZZ2m3MXYVSzIwcMnAGpKUUgyshF5tlrdlBecqwOaaWjY8FEz4hGkJQhC4mJnzOwNSrfZmU6rHTcnO0wSx3H2jIadtjYcewF7zRbNEYxr1qK7JRVUsyDxghDuFhg3v+UOfsE09GZBbffD8gEEc9xUaz3dyTT0xu0O7uYnZI7rBDBoHyBmXS0ecvctIyel8QZNLPEATeQxhKKU6Yih1ChuzHP8ucY5xmEyLIYUraGrbngQhzgSwl7gqYuMCkxqBy+mxNigbYPyHdPaCQc+xzjJ0BLyGdMsi2Sjyz9gnEjUElCl1GNakxI6PkWj7YWZCrjV+0EVyW6GFg2gWUYcRaOuNu+jwkz5sLzSZ6TOCcWEZELnueGAXAnszw9ylitctq2zxhm2sjOh5EDIdAqErKOZye3SEGxJZ9g64SqLNm3n7E4C/haUHr4zf/0P+W3/u4P+d3/+AbPjk85Xzg+WE45QFL5inYeyERADcBtO9K8QjQZ4wpkmGBFyWL0nMJKxitJGRVt6eiymnOlcI1B2jF5KLnQU2p9gdk6R8UC7TJuNC26aJCVx67uMu4smo4numKcEkPRcH9ZUpshrcoxtKyKjlPjKOZDdO4xuUbGG+A7YlyyyPbIY0UeE9uNRMQFOs7Zb2702XcJDNuGMyl4HA2h3iJ2Z6Q4Y6dt6LTgWZGzqg20Q9T5GMwhiYZoE/VZYDtGDhw0WUajAheTwM4+2EZyfmZomhypInn+jDZ6gk6EncD4USK4yIqIv2iRMqDyOfuN50BFbrzjGJxmHM1KTk4L8nYLl1na26eYqQUN3T2Le7JF3kUO0pSTdkhwGYUTjORNilDSHDd08oJooHLQ5R0itej0CdMdQ1Xs885P3+GPVx+SxAV7PKYbzTgbdzRywCBXBG2hmHKWOrqoud1FGrFNGwyTBoblLkkFDtUpW74gi4pVWlHnGVYW6HYPJxucspyYli2XkQfF+7IX4Fcu4P+65i//+T/n3Xffg5jo3i0ICMx+DWmCWg0Ytc+xTwJLNCt5Z70WCxTFOamYkqRHSkg+Q0RFJgRdSqwCFIsS6wZ0YYAYZGh7imlbFmWJGXnUwNOeFOxYy7aoX7tOemNQ6ld/63dYzGbMLy44Oz15AQS5DFP7mhaH1xfKl4vvlJifHGNXS+Ynx+zeus1wssVkZ5fBYIjOegHdfie53519VcjUq4CnVzGX3oQp9XlAyZVTtRGdvmKBbZbtL4MllwFCIZIkFONthqMRg6pk0Uy/kF31cr2+TnsT4PHSXRdXd3fFVvhiptQvCqR9HnPqdS3xcsjldXbOlTvVj+ngHFEIvPMkoRHVmOGdnHfGI27Mptz95jOePX7I2fk5T589owuBjaLWxnl/HTD1pS2t3WmxccgTOssY7Ozw1u/+HpObtzHVgM77Xqx9E+IkNm3/al2qN2EBwue3+xfNAZ83Pj+j/bQGlzfgw+sgqetOd0yRTfhm71NsOBh9aN4LgXgCSOHy3GslvvCngLVY9tX4vj7CXsUgfHlcv9x21+chpTVCiB5cdBZvOxbnZ5yfHrOYTTl+9ozp6Qnz6ZRF3bwBY/Lz6/JGGwn9DQMQkyAgcUlgncPaDtkHZW1Qix4YSr3w+SUr9A3qt2mHtN6IuM7iu8QxxTWW2rXsipfz6masXH7Va+tJucnAd1Vef03WgEgf8NxLq4nLYy6Bp3SFq27mcwGXgtt/45ZACInJMrzvk4N8WbseItk7IJ9/LzElumshmf35vUj6JZkwblhSmyr2/10+Y2uwSl2CU5EkNln2en2ETZiu1hqxfn8vF1POjo+5OD3h2aef0q6Wr37/vUFffF0bZy+Ge341+53/5f+CR/aYT5vnPPzpI9pW4A+3EGGGygNZkVjOh4AiGkFnc9LSo9eXNdJjbs1Z1h0hepLuSASiigQTkHFJDBJm2zi1QAmBihq/ldF0EhaR+uGnXCxOOHr4Iffe2WZr7zY7t77DjcqiZUTJiKPGJk+bEtJWDEhMRGRlHK0EKfrrJSJSJYKuqZE8VSUuLNfzRUYmW6KILBhD6iBGTFvRmCNUEmzV+4SBBR3QJKIXpGTQ0bCUMzLh2cEwV9Pe0VEK7QUmJUplMTLHS4MXiZFYUQC1rtAhQzNhv9ziO9xEdlOenRzhkiNIQZxFdPJII3F2RDadoaUlSysWlcMaiak3GmWJwaBhVZRYNcblEOMC0Tp2YkNTWFzpGDqIyuODwOrAtEisJJh5H06DTGS3BaoekeYVx42nFh4xnjE838Kh8AiMnqLqIdFtM6cjU0OELDErT5IOl03ZaicYBLnwaF8zFIIkJpzkkqQbklqReQOioM1LQgoY4ZEikoqEU73IttAS6SqwI1Ym0qVI6jxkM0geZMJjMCkyigErLYGOhKc1GSklqsZRKwMiZxwzTgN0McPECZVqKKKnjB0xdfhO4ecaJ8bIsmK72MX+YII4eMDv7bzNd58+4+nZCX/y+GOmZ5LgxeW8HbNE2AqcP49oC1o1OGNJRJZH0A0C0ghuHklEcEQfOVIeJ642uGc+4ETCjSOyaxEu4LpEdS6YyF6839wtSN/eQz74e6ibN4mZ4XB6wqSrmZARK4NrInSCLo5RUvWhokmTTEPUDb7Ocdris0gWC9rQEGNDVUiET8iQmNgM5zLaIPCqInMGnRTnZcIjyLwgT23/eRgjVM2wLRimEYPQhwFnIiGzhFkJQi0QKEJweFtjVgOGWQ/auUXHrhhxX93nQzWnKCyD3LKMBq8CUQcmjcOvF0WyaAkm0ZCTmgWdCnQjSxlOUa1B2RI3bEghEF3OPHREBM4OSSuPERaz3XBzuQWxA7kiJkmSkel2w2BegYuE+ZLMCZJWUBpiV1OLlsasEKuMXMleYzebEZJArHZwmUdIh+o8PkJIGU2cUOUBpTKysmSHFt+2PD9/n/BYcfbkmJ/84Z9w4VfMzqc8z09wLuHXIUm5d4SVpnt+g2RXdASePKtwmSMftOx2/fwj8VRJsFI9k8aWnsgK4XLO/Q0sNdF7VtMCvxTITlClxFJLTjNNHSu6rsJ3NWVxjA8ZbaconKeRBhcLZCsYhByiwnRzcm8QIhFQmDBGpxI3mrLMMzq1y8TlLBRYI1nmHTJ4hkmStzvETJDKhFcrYu6RJJQ7IwmD05qUG4LTeKswbsUwGEqV45FICYUWkBmcslhgjwxSIHlHlU8xaYgOQ7RaIYRFCsupnBPo9dZWhSGkjnEzp3o+JLOnpN1zLojgFckCVQvGE02D1Qpdj8FrTGpopedpHri+Qp/NNNH30gPljZaoDF4OoB0iO4sSfZKLZMCwxDkBFchdx7JJ7OY5O2oXcVJyMVO4ylFlKyoZKAMoWxG7SOdbFsWKUCXmhp6BGwUieII4Z1XlHL+1ojuMRKfxpiJlF6Tg6DJN6AqWTcHPYkZ6dkB56umyU6xeEuSKzB8g4xQRWvZtSQgjYpR0YclE9OMm6Jp5EqQAE51wMeAilCh0cLjkqZVFiI5EokwjMi0xUuBty/nhB8yODnn6h8959PCIpk2ISYvxjtwKQmMYxCWZrjEi0biSNmYYvaREkSGxfoc8XCDEEptlECVRwmIiiE1GshoF5ChyJC7NENLjMkOnLakxZG0BMTDXkVq/XnbijUGpB9/6DhenJxRFRds2dG2H8+4FAe4XmQlfj11fiDaLBc1iwcXREavlgq29A7wPqJuSPC/JsnW2PgkyrgGql8r7PPHjXyRM7/KzK7jpGhvlSkT9hfOu/bz+W4wRhETnBXmRk5k++95GWPvzlsVvBBh8BftyIt6berwBkPUGDKorR/Kz4V6v+v16Oa8TuX5l/a4xB8QaSdowWPosUPQsPpNhyorh3h57tuPOnbvsDAccPnlMs1wy6ywuBPx1cfTLany9wOHGwUybuuU52f4+YjQmaIPtFr3juO6X683xssP2Ojba1wl6vmqMXoVcpUuw4TIL12vAvE1ZceNEXwJvG3ZUP0+90B+p96hfBZ1egYhX5ffMqbTx6K++u16/z6nmqzTn1qjL5QVjCDSrJavFnPPnz3j8ycecnRzx+NNPWK1qfOyF35V4PUB9/Zqv++yLrLOWummpbYcPfaaRHpjo6yI2bSGuAe+vqN+rNNauj7cNf3TDZNvsc/Slb57DjXi5eKEP0jWA9YV3kBAI8er7vbzmBjEW4hIL3ZSy0Ul6oTJ/S7YBx5TqmU5CqC9x7ot6kJvkCZ9rog/L8y+FCV7rob7LXwKk4ubRWH+4AfAutRuvPSmJjb6buCw7Bo+zHeenRzz66ENOnj/j4uQEpeQlePll7etiD7/JptDr7ME/+PuI1YfEWcayOWL2uKB+VhFYggwoBSEqrISkI85laCvQ6zVWNgqUk5qF9RAsSjaIWJB0Ap1IuiW5EtEN8eMpQgryoLClxApFqjWr41PkyQnqg4RaHdDcFYT4HUY7kbwUZFWOlX0IQECAyyhJ7AvN0gSsSEgR6LTHA0JohLB4YbgQEk1DjBobKypCv5mThr22FFD4ApfVpKTYtjlNJUlJYIQmIohJkvmSWp7hpaUUOXOxxIuEVAOU05iY0MKhZIYUmiQChWjJSXTKI9HkKMZZxl4aMu0KimnCDSIhg7QUqBhQKtAEQ9lJihQpM48vLMIAIUej0BKGg5YgxsQ0wikHrsYky1B0dJknlokiBdqedkKIgrYAZwS6Dnh6sX81Tsi2JLVbzJctfjKFQUd+sk2Impggy2pSW+JdxUoEkpRkMkcFgRQOIR1F2kaKiBCOEGsUOQNRcpQlogYpPdoJooSoNXENCAoR8ZnGyoQVkVJ4RAQvDCsVCAhEKBFhgUi9Vk4QGWWUjEJiLhNJOLyocdohvEB3iVUZCQJIGU0S+GRQQlGmloKISY4YA95HwryjMQWZlgy1gN0BWwc3Gd6+j/zpu3z48BM+5IhOZMg6MbaO2lu8joSxZ34akD6S6RavLCIE6nnCTxRaSbaFp02eJiWmEfKkyFAkIWi9x2mJH0Tysw7Z+n4eW/aAeCklfqSoJznn6jajaoDMIhcnkUnwFFIyTiVL22E7CKlAEdBIggp9yKgMeKvw2hFUQiRJR40THqMHiJjQQVBZxTxIXJRECnTUZFEz0yDWWcoydY6KJcJrUlhg/AgThhgpKJNApYRXAhkTwSU8gRAc0Vr0chsx8YjSUafISAzYUwc81OdkmSMrAtO2oDOWkHl2VgEZBEFFTNaSTKRTGucCrY60RaSqp2g3QjHAjywp9L5K6ztczOiCoWotorTIQctgdZMYBJaW4AVdkagHge1GIF0i1JYsKaxSNFoScQQRcbph2O1hpEIjcHlL8BrRTUhFCyKgXcKR8EnhKUkEkBKRebLThubigidPH8PznOfvPeLP/j9/wEVe0upEq1rKaFCxf/dnIRCdofYThOnwKVKvDOUNS5F5JsJfAiNKSKxSrCTUKpLrBpkS83CAoCPGQNvmqE5gXEKpjqmzHHUd01rQ+RxwFPqC4As6rxmFyAJNGzVFqymCQSdJsAt06je2pdQIUZJEgS3OsHqAlyUDr2llwKpIkzuKDjKnkXYMJhCVxZexZ7JH0LEmyAEBDTrDR0EnIUstOmpMMrRKIVUgk4kulzggEKmEwCZFlxRG1chQktCIdfipQLJUdR8eLBRdYciDI7dzBnNN4UFVLUuR0E0iswkxsAjZoUSNMNtgCqKq0NQ4GVkpKNf7byIJVo1EREVKgnzUEZTCBY2YVyjfYpIFKVAyIVPDypl+zTzoMzsmnTNIQ+o6oW3oN1eyBh2hcJqYMoL3SCtodztcAascqDXSCbSVBD8naM1se4E/XWezVFmfpApBzBTJGTqneZJJ9GJENZ9wYWYgHRKHjgYZPTJ6tmzFIpbECHVaUACZSMyVpY392nNXC85FxAsYiNSHKqaIVzWSPrNpniYkF7HO0cxPOP30PY4efszPf3xE3SkcoExgoBy5ECyaAUVqqaSjy8FjcC4nzxqKqMmjwcUhuc/RydJJ3W/4CliVfXZU4XMUFiMSWkRSWoGMfSZO0RFtjncFZCus0XTm9evWNwalvCnYvvc2+w++wYPvfJfzo2ecPjvk048/wjlHDFdhfV8nIeS6KXV1Q9OjI6ZHRzz82U8Z7eww2tll7/Yd7r71NtVgRDmsLmMDUooE7y/DXn4ZjKIX7JqXez3M4nOd/Wu/S9WLndnVrA/dq+veSXhNlQVirUf1aif7b8o2DkeKGxH6VxxzyXTY1PSLa/u6/vo6QbiXrgz0LA5SQq4dnBQCnfd0Xd/m2fY+3/1H/wHfWMz5/g9/yPHhc87Pz3n45DEfPX1KYy1Kab7uh0IgaFsLgJRwfj5lOlvw6P/wv+fv/sP/kLe/9W3uvvMOWmlEAt+1PdvrWua9X/qz8AX2yn7btPH697R+ft+Uhdm2Dd67tQZQQqQ+i14fisWVFw2Xw+46NPyintUmf9v1I9blXb+oWAs6I0ivOKcPTVqHJcs+NM/6DuhDXS+OnjM9PeHwk4/56MP3ubg45/zsbK27019JK02m5S9F4PxlcHLzu5SST99/j3q54O3vfJsbBwdMqgHNfAnqCqfZhNZdn3depZt2nW1yySbdsJA2yOp1uw7+vaL7N3NNT6DaCNxfsVpeBVivu2LdJ9e1w9ILpUqV0AlyJV67IfA3YZGeWdQDSp8NNf1iuwp/7HyHQGKtuxyXrzxDKLK8QBuDVgoLBO/xzq9LXL9z6Bescd0DVxsJVxtCinWYH3ENEvZ9k+VFn00vBk6Pj/jkvZ9x9OQxTx89vNzs6t/5vzhL6avYZvx47xmNJ4wmk1+ovJ/mp5hyyP39v8NbB7/D4Ung8dMV7/+X/yfcMpHqnCJfsNFwkN80iGWE8/78bgHdUpClPsRv6CwndzoGzZDRyRbCPKORnnnR0YjIwMPNruPDk7pPGU1O1w0Zqo79bMbDHx3z/p/OcO7HmLt3efCDe/zOf/R9TH6PHSP5ZtZxXrZ4AodRYIXCErE0dKKCpPHBMEoZBYlRahmkAmJOFwqmckCG4Htui1MZiWpBNfwpJ0GDMDBaMgortFcMwjs8lVNcbBjUFXW5z9xEnFK8HRwVHa1smGVbdLFguSzo9Byh5ux3Da1WWApKUZBVC7RZ0KZDfmLf5337hG2lIBpWnaFtMgxLdLGk+17Dch5ZeoXcnfC9pw3DueNPDlr2/QEDV/L47IQdl9gLlo8imCxD68BxXmNTAU3F8OSMeheakaA4KdhOjlIFngN6qlFTRWo74sDBVsvotGE1q6hXY5Z3c8RyTrZc0jQVsW5J7THB/AoxSYJtCLln31fs1BXvZiuE9hht8dSIuERHybfae5ypHZ7pCqOfUaUplb9goQwp7uD9TWZVTdZljLqMfVPQ5C1Pxh9hU6QKA7b8BN3k2GRYUZCKp7hYsWj32Em99szFoGDPn9GIglO1xwOOEWrFTB2z69+hMYHpYMa5V1Q2R1KhGokSfSa5uuqYysQzPHdOE4XxZLcc6t73+Nb8m/xvf+/3EA8j/skFq798l//qgz/jzNZkc8FTucIZAUkgVztEGVhOzpBnBuXB0nC8A60o4OldRBIE2TEvTrjtHCl4Ps4h85EqwsHtho9OBqysoigM/GhKev/n/NG7/0f+w//RP+Rb37zPne0JdlSxUoZxo5jqBV3RcqcJhGXv2F7sd5jVHrotOc46QhhDm/DjC5JuIQXOMQyKgtJo8qnrc7gJhUsGbyxWNKiU4dEECXFsCVFjLcw7ECmihGe4tSLZjuR7oXfyBWky5/FqRnQC0xlUNMwXcN5ERrZE+F6kHgQXwEkS5NUBKUwJbcvzPCe4EiFG7Psl42qJuL3F4fyCYYgcLCS6DAh1QZBTuosDnG6w5YwHwwldWDJzlnEbEC7iF5HnW2foICicIhaJyufszraZTzzaCsr5dp/EKVuyzI5BHTCIcEDHSfkUEQdst7eYqwyTWrb4lK67TSqGcHfI84sGjeXmQFE//pR6MUefzvjr/+YveO/pEX94ekg+20VGiHlONr6FCZL2dMGAUzQOmxIDIZBGkI1h0YGIkRvDDnUWcUnyMM9emMerrqPqFPVyj250gcwXFKzfi8agDva4YQ/RcsWTm4l3P/gxS99wsJ1x/1sHTG7uIz/puPCaRihWlUQOl5TKEU4qtNRoUXHGiKVaILMGN8hZ5FOiC+ipZ4eOgTKk/RHmzJLVEV/vkOQYxIATbdm5iIy8pM7vE8pE0gmXC5owpfNzhvVN6uqc2XCBzIYUXmJSohkKdLdEtkue7Nxk0q6YdDMeiQadTdBqH5fmNDrRyAsmi4xhd5PCKg7G7yG8RtmCJs5ZCM9ZrrkzeoI/hfbo2zwb/hzZOfLO070tmcwFB4egmTFXK06zHpbQUaPji7+L2xa/VHTPBvAUdLAMu0O8uENSATI4oEAFR3ALTopE3hn23t3Cj0qG4wnL85blDz7EPplS/KuC6bjDuIzx2S7T/VMikXxZMJEdjshFBM41ZZ5x9xsZPLHIdsG9Tx7xcxlQJvHgbIkLETRkRcfDqSaTHXe+tWDrZMF5WXPxBG4ubnBruUt974JRHci8IcYtRG5ZmpYPYsPYFeTJINllKzTI5FkgsVEQpOvHQb1L4QeMybmQHSsczgV++m8OOXz/Me+9/1+iV4qsFezUDXGQCEZQzEqq3GEKODkfMUszamNZ3JKoC0u+SrSTgnaawHm4+RHz+R5idZecY7ZEpAIOFwUJAUXvfwp1jpABKMicI3eOm7nkYpKYDTz5CXxr8C2+sfWN166T3hyUWgNPXgpUXrJ98zaDyRajnR0W0wtmFxecnfRhfTGlqzTRvyS7HrJTLxZ4Z2mWC+Ynx5SDAcPJhOF4iyzL+kVElqFNRp7n6xCOtbMrrjRivvRu6CsO/Szj4sUMai8yq162PpxFpoBdLWlXNW3TvdEuvZCizxK1iU/5JcNSnxs2J3qghmsO6yvO5tLLFJtDxeXn192/Kw5Fnzbni5hPr/ruTUOXXnRg0zWHWRJTfGlsXI09BMTgWbUJhKa4dY+bW3vsdh33v/991L/6lzx7fsTJdN6HN31Ndn389/Veh6amRLtY8LMf/RnPHj3k1vv32bt5k/Fki+29ffIswxjTh7iuQdorZlFf0Ivsrmu98wpW1cZex0z7PPtiQFFcRxFe/xwkSD6s9eWAayG8G0LMtZLXTJpX1Wl9hNiMu89nXIjNhS9PjpefbiLBhJBo09Owl7MLDj/9lJPTY7zvtYHOj0+ol0sWsymz6ZTOdp+ZNzaZAH8ZjJ3PuzcpJc5azk+O+aN//gf84O/8Orfu3GF/ew/n+l3Bzyvn8+bS66FwkuvzBL1YZErrx2rNmGLDlluDjNfKiOs2eYERe+2xuA6CbabF6ziXuJxzNsNlHSx62dQSKRVamzU76dX382Xa9BexRCQG93qm0+eYlIroIykFvOsXE68eTxv9rs1z14NDWvf/S3GlKRmvtTcpXQKp1xMOXIf7tDEIJQk+9hn1To+ZTy94/vgR0/Mz6uWiB3Bfmt++rP2i4eHXQdRyMODG3Xvcvv/WVyprY02YMAgtu3Q0Rca9fc9emRj+Z7+NeLpEPqn5s09WNLEjqIC+WDGwnlF01D4hBiBGkhlbsGwxs17kOinPUtcgNX6N8BpvcCZyXEXiYtTPYiJiTIs0GlccENtlL2LsQc8OOf35in83XyCk4tatDP/DAfXWfWCA9gVyVKMVZDKjRIIMdKrFxQkajREZtTwjpo7gS0okAc+JPKaWkYzEyN2gkTWtgJlYcOCHSBIX+gijEkplxBAJ2RIlPduuxKQhgQEuQVa0BNVQFwNGqca4xFbYZRYUAcg5ZSUtLlj2TiqyE4uctpykkpDA6Mhkt8E2Ahdz4tMCqgZpIurEcVF7ahcxS4O1K0gtdlfjXUNuG25eCBYe2pAhREawQEocp32aJWAjVk2xzmDagrHvaBgQKBDpDNFB9J7lUGO6lj2/YHCh8NZjXaRJgbJybG17RDvGiJIqKErREXTgqFxwyyaiU8RQkEwiiECQiSPtsTJQSk9GIE8KlQpkNJQhZxRgalui7EiFx9pthFVUAkwMSGmoVSAzAhugiwEpcrzxzIenBLeNFRHtLNLDIARuh5rgJVEVeKUw+YwSRd5VXJDTSslJ6RiFliAT57nC4ChiRBPJRSQmT914Wp0IUhBuDdnfSohvVGTf3eO3/yk8fPSYvzh+iFK9vg+uAXJiVHSNhomBaLHNMWE5JGkN4xOqlUCrxOqG5PxoAl2ken6B63LmQeEvNLWTa0VJQXAD0sIgP37Ke//Nf8d0b5vFvZtMfnCD6mCHYf42xQC2S8U8BkSUEEGljjY7x4uCcjUk5guS9KilgkySVKLzGSWBlAIXcYAvBF4nkoVCapRUROGIyvUgf6rwGlLhcNmYImZkBGRYsIoZXczZm82xyRDTLkVeYxGEpJkvJDZlqKjJjMUNpszGD5GzhmzhUR2E/TPiMkEzwaUxAkdmWnxUhKUkHScKU5ELh/KJ2eqATFmGytJIiVAluZRcNJaIJjGiG8U+o2KANrXkUVA5hY8FKmbIoBB4LOBSYicE8hQohSFkM6QtiN2QlK3oZOKibBFOk3TGbJRIrcAtLc3zOe+9f0g76zCzSFr9FV07Y7Gqef7eirpruDGKLPQCFwVeOISdgpNkxlLnEaIirEryVCOjpXEXhOQxKpGVnmWUdKHfbgw7ES0je3OwsaL1BrwELUhKYm3OtmgQ0dI+XzJrJFrlDAYdzdEzntaWf7bX8bv2t3lw+w63yhvYfIqjw0mI2hCFIYwdXrTIlBivLDFP+EISul7JUZMQSiBCBSHDL6FSkWLo8cslPsuojUanKV3SRJmhIyRpCbmldY5IRJDjxBlWObyU7KqaLknmQUPdopXD5ILJLAOZs9QZJnmKtCKLnme6I+80W11GVIYVLRfCk622KIMkDwqltoCWaCHsKNqzjuZ0TmoGeNNR71hiUyG6gMZyoTXtNd8xhowQckZMMUSMgNVJ6BMy7C+ZSEe0iSZluO05SUeQjtlUIXTATSDUIL3AJM1yNeN8mvPpUUF95xZ1lFT2hNQoooLF7grTBKJOuH3PYjoiriAKS0aL8R3ZoWO2exubKtrlDezuKUl3HJcBGQwy9GwpbyQmRnY/qWkOwZ0ZrBhyZhr2VM1ktc1UBWKRoFXE1OJCiwoFjVziRc2OrHByQYiWOkqsHCKEQjAkN5ogAydxytFHlovnC55+8qdMD2uWFzXhfJfkIsEnEhUhNBgRcHbIfBQwuWd8vsDpkkYPUNMFmYzIsaXVgYmSVElgZ4nGSpzooaImrSUhAeM9MiRWYp9uNCcWNe50QiiW2IlDDATRRfTK43c0u9+7zfe+82uvXSe9MSgVfU9hFEJQFCXleIvRzi7jyRYXp8eU5TPauqFrW5yzv/Rd5evOgOtaXNeyms2YnhyTlyXDrQl7B7coqoqiqiiHI8pqgFYKudZwIV7XeHq1o/1yWNxnjhO8IAb7JuW86l5eZBAIQmdx1uGc503YRJfX/SVgUa9qg1fZBjeQ8rMhPC/+vQF+xJWX+EL7bHKibdptE1Z3Tdh2w7RYO5FvEr74Jg6KuPRTrwNTL1JqxCWS1jttMUZaH5BSord2GO1KMiEZKMnhw4/x1nJ0PkVK9bWTCF91n8E6nnz8Ec8fP+b48Cl333mHvZu3CMD21jZlUaLURhfoRbTmhTbaNMY1lOpz4aM3GCNfBGp9rl1zbl97KIkY4hW48FIx63R7XMPaPmObZ/HzXOLrDrb4TG9uAI4NKLYG9GQPGtum5uLkiPd/8lc8efIYazsEMLs4xzlPuDYHXAdBLoGVN2uGz72v62W9qYXgWS4W/Owv/pyyKknA3vZuD4IncdXKb4CDb+qwCcGTG8DzJaxXBNi0rliHkl3XFbsEthIvXv9aGdfBqEtAKl2F+W2e4U0ZL4BXm1+EQErV98XfVoa3dbv2j2nCB/8VQKn1aJWSFCIxxV4Tks95L13G5F01qlISbTRaq/Unm5LTFUMtXoUGvhz210/j/VyaYsBZy8XJMY8/+ZDTo+c8f/zoBYbe12Vv+u76nJNRUjLZ2mLv5i1u3X/wC9XFhwodBYMEbSUZD2CvLBC3vof5ZIoen/H+7AgcdNSIWUeeAgPhcX10CrKCIDOC80QkOkEnPI2pkVGRBCQh0NHglacZJJiWCBEQeYMikFSONSOSbUgShAbhzlkcLjj7aIZkweobJcPRPuGmRold8m5CtXdGmRuGZpdiEBE6YpRlmkbElEPSrPRTfLJAx4QEeJZyjpdgUknm9snygBWOBQ6VRkgCc3XIUJVoqWkzT9QNGY5tJxGiDzfxAXRaIKVlZiQ7oaOKmjwNMF6DcMjsHCf6RAZyXqHqCJ1jJgsykShkYDxsOI8G3xg4yxGZQ2iHvAgsY6JRCV1rOmuxCsJojHcrQmMZz6CmxJMhQ07yHYjETI/BJrCeMJ7inMJZQ06Nk4YgSoRQKBfR3tNs5xQpMEo1VR1xSaFRiMyTV57RMCJchiInC4qJipxljou84bsWQqiwIQMVCdJjRWSqAkp6MhUoUkJhIFWoKCmSYkREuI4mc7Qm9QLJSZIT0TESjMArgVMSD/1mHDlRtVi1IFAiEmShD/vLYqSk4zwqnNAElWOyC4qQUdkBcwFOBbq8487SY4XgTGt2Q6RMkQGQZKQjsmoFCxlIWqLGBWoXjCjx393jW09PiQH+9cPHyFKhVb92NE4TQobvDMIoZGrokiC1OeTAZErRglaKepizmJYIFxlcXLBIOQ5Ds5KI5PvsgkaQXEZqJfp4ytPjn3JRZMj799iN9xi8fZPBTsU3b0mKgWSqPCbmmCRRKeB0jcVRpgpBA1hStwVSkQBrJUl2xBSZM0FoD3lAuoSRkkyClw3gSSQWYUxQHeQBoccoBAYHscPFgi7kCH9KFNsEOSTPPUFKfNI0KwhCowGjwJULZqNjOAMTBbkXTLM5ghLdDQimRGuPzFpaBK6FNEsUOsdIEDjaboSWltzUCCVRss/4uOwuEFKiTYHLEiJIVJA4VqgIIUp8zNBJ078oep0gJyASkETypHGyRqKILkeojKAEq8JRLTURaDLoVh3N+Yrz9w/5+MefMDte0T6zZP7HNHHOs2CJx1tUReLunqZWARv7pC1xtUA6iTbgC0n0irQqsLJFCE/nl0iZkBpiKajbDJcESgbiIKBVZLACpzMiWb9xZiBJgU8KTUJ7DxcNdRJobdiSkW465Wy64uzHS8bFFqnWTL73A2KxQMhAjBGfBkQUobIE6UkBBquaTuWgFMIpjFQoBEkpRBgSQ46vG4pMY/KIbSwLnWEzRZEagij6zG5dAmWJusYpi5IVSuaEdEISEpl60LujD31VviNXAWFgOBXUhaYtMgY4clqMtAQkRZDs2MgiSyxFxzQ1jJsxJkYEgdIPiElinYWtjDj0eDODriLqhB04RJ0hOw9EFkrhN5R7FDFpfMxQUZCRKESknYEceuR+oPLgUCytxo9akkoQYSU9yfSgVN4KSD3NoetqUt1yuEyoxRhXr1AuotqCWEA36RgsejZ3N/C4s5zU9BqaKrfoGFDnHptlLEXGtBmSmJK0ZWoiuVeo1K+PghSoCNVZIJ0J/FzjTck8cyx1x42mYGY6WuNRNpGSIySHihpnFiAjEoETK6y0dEKSZNXPACkjSxbvG55MLzh6P3D2wTkf/NW/IyVBjAbsTQIdHo9TiSxFlHd0IaeRAWsUO/IUpwc4OSBf1OhRRJYejWMkNFsoFnWvxhuEJCVJCyB6HQ1BQIZEIieqDF92pFDgdIsbSsxAwUpTxgxxu2T32ze4/ev3X7tOemNQCtbaEELgbNc7VEJgsoydew84eOsdvvH9H3D8+BFPPv2YR48eEULomTObsLtfEgVfqatYkhQCzWJBvVhw8uTpJc9DG00xGDLZP+BXfvv32d7dZWs8wTYtIfYL9U1o3xcCGhvG0+XPK+em//pFIOblzz7PLsuLvTOUT3bIhkNMmdPUX8yWSkCIEbF2xt8ku9rXaeLa/5ce1Pp/IV5kN4mXzrtya14Oe4qXxbA+DvzVcek6w+0lj/Rruad4WT8p1BpGSy9d4UUQASB0jsY5TJYjdnb4zq/9BsLk/PWHH78SBPpl2GWYa4ocPX3CyeFTpFJkZcG9t9/h4PYdvv2rf4fd/RsMhkOM1gTr+vCceBUGJV/QrfkbHlUbYHDzPG7a7TXPUud6Pa++v2RfxoaZdw2/SKyzt71U5NVzniDF6/yc9RHqEgjpf8Y1O3Gd5j4mkKZvb63QWY63HfXsnH/5T/5rnj58xJPHj19w3JVWCK0w6/peASRfbpx8Bgzf/LicsxIvh6G97hobgKBrOv7tv/gX/OxHf8HqP5nzKz/8IXt7ezSL+ZrJ9CI79noInbg2ZwpY5217oRKXc6hAIDcAxjUg7VXlESNE0AkicaO9/ZlQxJ6186pxIy6x5c0zeckAin0GR2UUyhikVFeMwr/BULKNcLhcC4x3ncNbS/D+S5cDCanltci/L4LI++M3IJNSiuFwxGA47N+V6zJjioQUXuijSx0++vbMihyExFnH8bNnfPL+uxwfHvL0008vE6ZczaF9nf42wvWum/eerZ1tdvb3+fXf//sInfX0/F/AhskRMVyQ8TBOkU2OabYo9wqyt75Fdb/gf/qPvsXy/GNmzz/kX/xfH3IuPSdDyE5yRCfgKYTRIReN4SKMqE4dXlk6UzOZTfCVpp1IinmLahSqUaBXqFHA7HnmH93D1Q7vn9GMIckO0gxbQFoaUg13qgXxaMkf/j/mID7BBBhYOL3dsj28xQ/Hv8ud/9k3ONjf5UF2n0o/o2k1T88P6PYMIWuJ+iGajIKM22mLeRySkuYkKE6DJsaMrXiDUfIEIs49wNoZSXqmxZyREuRR04lAzB4Didxugy3wYkQTBxxmMzLp2InHdDrHC8WsHLMtSgZKEm9Zzr9tOI0B8dEMt7pNtDmHp89pW02MgrJcwQzSNKOpc4Y/VBSTQPsjWOY7eF0iVob5QrBqV4gM7K5FFS35YR+CnZLEvrNCX7ToVUDqB6jxKZYps0WB208waOE9x16yTFLNx+f3CTf2qB9s8bB+yH4KTGTE3AjIm5CiIY4+oRUlymsOLEhpCMLw8/E5phGYNqcNkbEPbCeHKDKCSL2eB7s0UeO84U6assg97w4C7ywsAzsg+QnPSMTYILs528UuWSzIVhnLVONSokyS06QpbcZ2q2nyHKMSVSYwnWVlNOemIC41gYTXgZnKGIiM/QDSRqq4IpfH4L+JDIFtjlmmHVzUGC842z/BURCXN5jEliQ8Te05tQqVD9B7u7jf38dmT6j/tEbqJxRFxsGdIYOPHLbtODRz5GFJDIJjJhRZR54LOrZRRGQbiZ84qv0j2E50z0tiV6GQ5PmUra6DXHL09i7jj08xc0Hs3qIzJyybjn/94yPEX5+QicAd+X/hk3/wn3HwKz/gxt/PuZ1HqkyzKsbINsNExcWu42ChGLoC9gtEE6DtGLZLhLE4FVmOYEt0DENE745ZJsc0OZy2bHeGwhme1QaZB4oy8fapYF7OWBY1nj0qXzG2iuObDqfmJCy3bEOwBd4JdLVCpZyUFCksucgdj3YU/vFNbmrNXgbTk4eMmhVjWfN07xSnEuQ5T2RgbBy38pZs6olZzXIwZ89KQmGYDXN2Anhn6ZYdud3BlZYunzOcKgqbUbocs1NQ570THsvIxEbGy4C350iRMZhM+DhXGCJbrSBN9zBekqUFgzQCrVCVJmUSuYoMHzn+5Yd/wMO/+pBH/++/XiclWa/rsojX0GXwTTVHrjJOf7rDSuRE5SmyKVXTghA0ecHt6V1M9DgeY3fBSQnLxNaWJRU5n5p7xFMofcOt8VNYgU2Sh21GoiUWNex2/bolJtKNU44yg4yK8rSfFyQZ6eN36KoniNxy+5OMv/jxP+GD3T9C/+/+N/zqb+yzv38D+3zKYQgsSFTVLsOQ9eBGGFMsWsrGMxlqHBJPIqQVMUra6GltgMb3WZl395ksJTuzSH1/zNAaSpsRVhDpiG3Dg/kBra5oM0NzM3CwsBTTwCJMkNZTxI6L2wZrHXXrudEeIrsMPR8yCZJ2aFkMIvdn3+hD5FRLpix7XjD2BU+qllrXTFXNO/VbCKVB5RyMt6i3jml3O94rO9JSYU4LRk2LSUOW4iYxPd/sSIK9CcUCdg45O3mAFpbMnPerlQjFEfi2xcsERhA/GZI2tO3CovKIMgLdatqQ+CSfU8Yt/Chw9O0/5Vf+YMzszHLEHqIrUN5RuCnLAqJMiKMI42OYaAQFLBISRTE2fGMcWa1mfBzfoz7JScmgm4AvIW1cpibRbhse/fAO83ePsacr8AU6H6DLIcIXTNwhW6lm21veN5FaRbQ5YpdIBnTJoRRkSpCViYkzeCv5yfIJ4flDZg9P+Gf/92fEFQgXyLKE9zuEMAACqbCQt7BzDjODqBVFcQ4zYA6LvACW5Cz7Jl9oVK14e7dDEmhF5DQvSN4gvaZpdzFmgc5r0n7LoomkVeJg8Smc5nCas8dDVivN0pbMH4+5/7tv8Y3feZt/73tvo9SIs7h87TrpzUGpjTNzbfc0kfC+16jxKiCznO3bdyhHY4rRmIvTE85PTvAh9LvOXxA+9Qvby6EjL35J8J52tSSEwPt/9SN2b9zg/lvvMByN0cZgVEbwgRRjz7a45hC/4Fgl1k7uFctqo9exufZ1exVIdVXlazvVmzqL9UI+Mxij0VoD3RfeuqB3iH0MV0yQr9G+DMOlF9JNl/USl6DA5u+XzhfXHf7LD+nBp3j517Ur9LvtvBE54zP2RuF/gqvZZd0pn617D6Sllz5KKZHlOUYrpG95dviEo6PnX7KWX59tgOQUI7ZpeP74MfPzC86Ojtk5OGC8vcPt+w8YjycUZUleFmxe9DH1AokI0YtavsGz+yptoq9iYv0c+Ohx3vXZxl4H7iZom+YqNOkLwB1Bn2ntOsbw2Wd3HeK7ZnqkDfNJiDUDJ16ycIQUSKlRRvXPorXU8xVnJydcnJ3y7NFDPvngQ5bLxavB6kvWz5u32QZgugReXqE3dcVo6XXplNqwDb9c/4j1Dla9WvEXf/LHxOC5/9bbPHjrLWLw/ZyZApdsxmv3t3m2En2EHpd3+SJIJq7i5j47I7zUZlfg4dX3G9H1DYiZYrzs30uwhLQhzF0BUldUpBfL7v/gspP5Yhjnl2sCxFrwVPrXPwsbS1f/xhDXAJfqQ0XWbKlXzaIpJYIPl6CUIBFSIkCf3Uak/v91n20E1KHvC531OhwhRmbTKSfPnjM9P+fw0SPmFxfU63fx5vivGq73RSHZX9Y2YKSQktv37nFw5y77t24jVEaM/b38ItbqBSppUpIUIWJ0Sz5wbLsCKzxzZuRqG7a+jchv8Pf+J9/i9L0POH7355xEgSsjcRjRC0UuE+V2y7Ieo7xkIByWISkETNMi4oaJnJgET2gSzblm4i1OdzRVh7aGLEDpExf1DoGI2KpZBUUecnbsmPPksXkHe0vSSrBcNfz89FNO/s0x9945YPCD7zPIRiArFkON0iWQkULOEkcnArma0tCHguWyYOQHeOFx2VPaMCEh0MpiU0UUCRkcXjoEnqWyyDhGCE0oFAMvyJxiu8tJIscoxThlTEXPfh/4QCcCQTiG2pKKETLfZtQe48KKkBydLUgpRwLGnmDFBJd6AeL2OBBXoCvVC0YHz+Q80EaPW8+hspbIrt9AiFUk5h49bZCdJ0WBXSocGYi8F+N2CV1LmtQ7G5IEKeBWFkRL1LBohwQ75C2rEWaEG/UhMGOjGGmFT3NGcZu8GdFJTx4KMiE5kYkcgcYwdjCXlpXouO3GOAGNDlyInpM67hJNNHQSoCNVHh09JmjOhEfJOUY7aCQxKYI05K5nMSwzDXiM10hXcS4XOOERoWMnDEgp0FlHGDhUJmilJ2RTdIrk7NCNG1KyFFisaxBokoYYKrIo2XJgKfE4irAkqQKtEnvpGU/Pzzg/q6GuyG1CN4Kl6/WAvJA4N0TuRGIUiLMSIVYIFdDjBjHts3HbUUA0EpME49IhqHGhX+NpAYRAOJ8RXB9S7/UFLgh8KkmpZHvSURWeYC3HH/0Zq+OHHL0/4PH9CcNbW+z+8NfYypdUGYyGI6TSdFGwShHFAEWBMWf4LMdJTbKqd5pFwgeoOk3pFKssI7NgvKBUHuESNgimybPC0+DxoiPk0GhDs9rpRawlnBuNx5GSZZ4EMgNlStLMIUNg5GBKZB4TwQr2gsAXgtlYoK0mJTDeEE8EHDikWrGsLEXMGbb7zCuHTBK9LGiRgEWLmu0o+ixuzQAjHaKwxHJFkoEUNTEM2Fomcm9pQiCLFTGTuMIRWocWcZ0tV0GeEJWFTPebpIc1p+0pRx8t+OAPz/l08RMW82PCuEGeRITv314eQ3KKuCo5KTpkmWijJKwSWYjsuoRG0CXNzI2Yj+ZIZXERxKSAmGGWBU29JHag5IzoDC56ps70CQzWjJttHUh55FkJnE6gzRBBkkYWcGhbU67XMNPkCHKMcgm7iHSjjhBP+NH/7b+C+oe89St3uD+8wRaKPCZmyzNSXpKkoZOSggKB4SybIrsK4TJCiuS5QCvHoG3RlUbonCYGfGHRZWQkJLk3yE4T/BRlQKshi3GGQTCUgSwktNAorcmsRYTUvw9mOUEkUhRImYjK0+nAcdBoETA+kVSHEytiWrCQBikSkshAd3RJ0botLrJzfMwJ3QBjLbaNnC01BytP66FOgkVWMQyJMp7ixx2ZTYxWMFNTqjyQVQWLbEmKfp0BGzIZGRhPEzRdUFirSFl7yQwZ+ohYRjofiSIQTMJqi8wUu2bI27xDfXfOIuvIDjsgkBPYconWC6xUNEbjOoXMNcVujpwukC4So2K5lHSdoRKazAWcgFWWEUeBmAWiFmwdeQ6wjK3i3f3AadeSna6IaYUVNfVwSVMr8AVCKYYpowgQGOJEixOBUigMWwQvWVycsvjwkPnhin/3/o+R3QluuUS2K0bDgJKC6fkIISxaWyDiRU4KBWbei7SDxLkRfbyxRxzMMbNEtkqUQlyu7WYLw8CFdW5KQK1AOEzyDKuWIndMlwbtEiKmPmGG8SQTuSgTwUImDL/zD36de9+6z80Ht8GPUUlTvgEL/o1BqRcFgK/WxDEEYgjgICtyysk2W7t7SCXJjMG2LfP5/Bd0UK8Wza8r58XQumsL3dTrYtmu48lH71MvpmTGcPPOPcrBkLKqLh2OSybENaDiMrxu/fOFy7zi2l8ERn1Ozddl9v9q1QNS18XdX33Wxq6cgjd2WL6CfS5AJcTaY9tkPOvr1NcxXfp917MSXh0huWrZ6z97jaQrskfqQyXFNU8rrWGqN7jlzwMMX84ExvVriBfrdNUGV5++3CZaK0SKtNNTnj5+xNHx0RVQ+iWBgF/U4ZLyiqkWQ2B+ccHs/Jznjx8z3t1lsrtL27XcvHOX7Z1dtnd3UUr158UNS4neyd846Jf1erUj+Spg6jMAxbXPX3XMJSvTWZxzOO9fD4iSsF2H9/6y31LqnWcup6/r9XgRkPpsPUBssvYlsQYzrsbq5RhOArEWOE+AbRrqtV7Oxx98wNHhUz796EM624Nlm2f6s3371fp6/dj1i1MBQsrLTCBarAGDlOj8VTbIL3ulTZs45/j4/fcoqwrvPLfv3uv7SkpSeHW616u5U1yCby/3w3U8bsOwuX7tl8fNBmC6agCxBsCv7m0DHvafpStw6oW2uzpvM65fPoZrQvtvGgb5dYMlQvT9q5TGC4X4spqNl6BR/1x9UYjcpp82LKa0FoTvbNfrncl+iuzziFz1w8t95r2n61pOjo745IMPOHn2nOdPHl0eI6W8CotMX54ddXm9l1jM8NUBcSl7/bebd+9x894Ddm/eol61V1k9fwFzqqWLGpEUWYBcOcqsZdIOOU8tNSsKU6CLAeXgFr/6+w947qD84Bmz0hMGljB0mPOcMguMBo7lMkP6gEGx0gYRE6rxmx0gAEoPbVR4b9iOHa3sqLVHLwyFh60gWHQDUtGSxpZmXqBTxsiXnMuOYDx2K2KOClzjedgdcvHTFusOuHUj4974+2AKpLEIka03ySoaVljR4rE4GrSMRCnIbY4UgVZe0MQciSGXgZYBIUVEbIkx4UkgIlkYkVROkzVUHvIg0VbiCoMSkowcJfpw51F0rJKjE56gHUIPMGpCHo779PQxYX2JFiWaiAqBKDRB5EjpsPNEbCGrFMoFRLAMm5qgNV6qfq5rJJE+G2vIIimD8rzXagkofBdIoY+LDFs1xgaElTRRrDNDCQge37YQa9hKNL7Ct9u80wna3ZJQa0zIqIxhLBWdcuQeBt7QygF5VOQkaiATEiHAuATR04mOzCmkiQQTuZCC0gvGFjqhSCKQZIPMO0xQ5NZwIiLIBi2X5KlEkJGEIHMWrwUro6lChCiILmNVSBKhd1SQEBPa9e9aLyOtCERTI0KGciNCXiNTR+GgDg7V53ZExBEm9P02pSICRkDMBDp25OfPOHt6xNnxAkKOsQmpIq3zWDxBGIIfQFX3742LDEmNEhGdR4T0JBmJOYRpjg6Sokq02hKFIMnUk+5TQi1XpCAIUmLNjNBWpFAAGcOhZThMLBvJ/OgDFp98TPirMeWvbDH4xg2+VTxAbq3IxzAeFawyQyMkdR2RIUNhGOhEMBlBlsiVR0mJkonOQdEqMitwIWFcQMVEVjoICe8FSywdHkcgxkCjLUIn4mKEEQGkY24kWnQoaamdIJcVMhM45xBdomglIkET+5C2exEWQ0EzEmRHOYSEihp9nlC1RwqLyyNZmyNtzmp8St4lTC3pDEgZ0LJliCTFAc4XRBNAdzi9QiSDigUiDBg6ByHgYsCIkqADTjqiX2825rpfQxhHKFuaVtFdOLonCx7Vn/Lhj0/5N3/wlMx8gihr0o5HHkdEoA8/DhkiKHQnmR9YUrb24xqPDIHS91EbHk0IOcvBHJF1eAdZZshczogKHxNJeHakpysMJIPORwgiOvVhrkPTEkxAG4lvKlhWCC0QdoUQEZEcOYpEwMYO1eUoIbDO4fc8VjW896/+LdWdhBct+7+2Qy5zdIKZXZF0JKkMLzRJlERhmOmOvMvJIpA0aJBZxDgLlSFlBj/zhMwTs0AVZJ+10SlCWiFTiaKiLhTjGDEEhI+IpNcJymq0UCgM4yaj0ZFWRoTyRBPwJtKGnEoojE9E0bOkPCuWsiQTglxEctEQ4hjrBiyLZxAFIRa4YKldYOokD2qBkIKllgSVEUSDiDNSnlABqihZlQsyoxmpjFavCL4HQJIQaBkpdWSuM1oUzgl05kEGIoncK+gSqU50RSCZSNCOICyFUbydDvjxbkPrE/rEgrJkIVG1kAGtlDhhcDZDCkWpDD4Kko+0RMJKEJwiFxoTHULDvMiQuYM8ErLEQMMYx7CzLEeO2bbFXNS40NDGhrZqcJ0gek2QgmGSDFJGF4ecqj5ja44kugLbCk5Pauofn3H24Rnv//mHZGbV634Bw8qjtOL0eJssm6N1T2KJqSD6DOX1eiMEQqpIOEAgKsgWER0iJWClxCbJslZoD4KITIkoGlANeUpUWaDMI8tTfRnxIEmoLBEHgcVAkHeakar4jd//Lnt7txgOt3l2ETEkis/Jhn3dvlT43sY2y9ANwLBZCrq2w7YdCyHZvvOArYObfPP73+cv/ui/5/zsjOlshlTqa2fyfH5FX2wAIQRKa1zbcPToIcePHzOYbDHe2eX2W29z+/5bDEdjhqNxH34QA965y0xAQsrra70Xfv8q9uIivv9XyrVjmQIi9S6TVPK1XqSk1z8B8G8Q5vTLsE0GQCX7+vZYRkKIniknNt7nZ+7lFXW9ZFC9yB7ZhLNAuGRV9I/F1x1e9qal9XULIaCNoRwOCedHHH7yEf/6D/5bPjk8pOls3yZfoQZCiMvU6l/VLp0pKVHXHLnFxTnz8zOefPQhRVlSDYe89Z3vcuetd9g9uMHN/Rs09QofPMOtLfK8QEuDbdr+Wbgm3P66kLPPY1B9Rv9r/Z2SEqUkZ4fPmM9mWB96gfbXtIW3HcGvM4vhefV4+3LWj8S4Ds8La9aRQhuD0hptNL5puTg94cknH/Kzv/hzzk5OOD057hc5axT/88GoL1GXNbMoxkhch3BlUrJfFOwd3KAaDBiORtzaHjMuDJMMqGvm8zk//vBj/vp0wYX1vU7SV2wLrTXv/uTHPPzoQ05Ojvmt3/u73HvrAUU+wjtLDFehZZ8Bk17xnF6fri6V4l5mvl4HjK4DU+mqf/uZYB1Gea2+L2xOvHDd9OJ5164nxVrzKkFwnuBfDbj9TZlSCm0U2micuwpdfjXP6bPWj5lEcL7PAGk0Xfdi279wfFrrs6UezAsx8MFf/xTbdty5d48kBShBCuttBaXIi4IYAl3b8vjTT3sg6vlznj582G9cpfRCqP0VC+3NbTNX+HV5cMUG/UXNe8+NW7e4efcuP/it38d6z3xRX4Gtv+A1JmhsEiwCVDFHxoSynlkDbRogRMWiOMUJR4iR2+oBg//B/5hbv/cPWfz5/4vpu5+w+tkjFiExN3A+BMcSkkKKXbb2nmJbzfKioKrcev9Q8JA7pGQQUVCJh1RtR9nC05jhBh5zwzLWT3vmSeoBxzYteBbPaG4JiAr5KGf/5g7txNJMn7JYwrt/NuPRv37C9r/3l7x194B/8NZbhN13iJWkHD2jFhNCN6Cd3mXHeKKyHKkZFCdoDFV4i2lcUpC47Xc4U+esZMNMNWTdTUpfsh0NUic6PMsQ0QwotaQcnPNQFywEHInn7FEyEjnIEZkQeClYZY5RPWFrtc3HtxTmyRDRlQg8B0gKKTjKS7xZIfWSnaxhOTB0QsMzi+22CUnz0eRTxivLuIGJUpxrzVwa2nYMzzQawQENJ8WcVVZTEZk4R5Y8jwtBWIxpVgMaQAwCogrki3M2iLnIBWJbE3LFj+r3ePvBr/P27QfY7i5JRbSxHNohnVwQswUPurv077aWW13JQnouVIctapxNCJvxkTlBaYOSOWVskVJRF4pK1zTJsYyeG15gQomMGVtKI8MWmd1hUSyRyZCHitrVOAxOlRy4DJfgTDhuNiU+EyzLjOXkmBQSzkp2VjdZkjiPHWV+G5cSSxcYtQbjKzJ7j7o8RYqIiZotoFYtP8umFKl39PUo58b8Y5Y/ec6/+C9+zr88fJ/nokZ9L7H8eIzqEjkz9qwlYTkuPNtPO4LQHA0M223HcCUpj+4w657Rdg2jTxO+SHSi4PHpbUz2nJQt6XY6TqcZZTR8e9xxkjJWHtpRy7ZvUSHjFMPRUcPZWUdKOfvWoYBPUyL/8AT98Jj3/ruf8Y2gubuzz6/9r/9XcBuyseIts8VTOWcqI/NsjxsZbGeB7NQxsp5KgNUjvE64PHDhF+ho0EnSDU+Q7T66HTERh2gcWVRsNbtMXWSRAuP9ljZ5muRRpsVoRZYNUMeJAzVgNww5+bim/SDn+Yc3yRiRc0LGMZ8OI5NacG+qsbt3adyCEJbcr4/ZXo1gdYN7STLzcx5zjI9DhkmzKxOn48cso+XCRYZ6jC8lq8mSG88CNTkX2YDR0FMmzdAHDrctss0pL7Z4ojqiDWQzj9i7QZICGz0j61gup7z3/EN+9H+Gp48e8ujoj4hEfBFIb1nyLBJsYjFPpKwgTcDdcuQfTBi4wJY85XSZ0ebQDY9JacgyGj4QI4qiRspIwSlWlug248azKW2asysDfzc7YOe3vs3wQcXWNxXZ+QDtNIUQ5OoIO5/z+Edn/BfPPuVxbLhByUmy2Kwj+8aU7GEEn1h+W7GwA2SnKc7PueUcOiaeFBk+WaKUnHxzyL/6b3/KX/3xQ578557v3vttbk9ucVcdIBpPSLCjhnS+o3Y11mrQU6Q65S0kYXUbO93m6RBiAOU8e1qQOYlpFGKZYUeGbiyYUVAtS/IzQxvPWZaORe6pF5KdrmDoS57vnZBchXQ5+xJEYzFdTTu8CTRUqeaOW3ImhhyLXe52OUkrMBmlWBBlohEK2xky4RmrJSxL2rymHZ/yR8PAk71Ae8/y8HGGbyt8M+Db8jl2KDjbKhk/XeGF4lmeceuWpWkCzw/7aATtPYW1rMqS2isa30uqiLFH77Tc//QOLnjOswue7W4z7DpuXZzhrcXpRDsR5EPL9vYFQ/s+Wx82NNOOY8DetHgn6I4MNwqBToAFuVeRecHW+y1P81vMx5bj6pDfPklkNvDMdJzKjLYCe6vj3qMBZpVYpSXzLCeTHUz/ApYrwqogtCXHzxzj2wveuh0YiBZPy1G0+ExhtCET24jgCD5wWk85fPdTnn90yp/+kz+B0MuDFEWk7DqM9chcsDjN6JImpcX6vbA2F/voiRy2ncPg+OTGDNISfCB9cBunF1DUpKahHk2wZUU+v+A4FhAEb3dzZsZQS8lu26J0RkoFu23NQhtqZfg4jilLyLYScTnl7V+5x6/84Lvcv/uAZ0rxs7RCbh9zO4wZhslr10lfnim1theWZ5cexZU4bdd1SAGyGPCtX/07nB094/jpEw6fPev1j3hTBtEXsHNeUa83KOzKLUrQLpdE73Fdy8XxcwajMTv7N9je26eoSsqyugR70kZEOaU+1ORz6vKVdKXWvpVSCiUSfjXHtg3Wun5XPL06dODSKRFX+i9fNyb1Rky11Ke8v3SW0lrfSog1eHHNcdg0f9z82oeVpE26cDaskxcZKZdshtdAg6+696t++OL7u16/z97iS8DKhi0kBVVVkrxj9fwJf/2n/5bDx495enyC8+ESSOBlAOYV9bi6xx54SLzi2bvOMnlV/T+v/HUdXi5HAK7rWIbAww/e5+zomGo4ZG97m6au8TEy3tnh7W9/l4Pbd5iMJoTgCSH2zibpBd/yCzXZXvH9q1gwQvRAQbea47tN+OomjO6zY3DzWdc0uK4jBAeiDzvq274/P23+2NCLXmfpGgSvemceIUlIbNuwmtasZlOefPop52cnPDs85Pz4OW3b4mNcz4lvxq75PLsEZOjZbgIoTMbO3j77N24yHo/Z291lvL1NVhZkRcWwyMm0IhMRGR1l2/Cb978JP/4ph0fHHJ2e0NHv+EteYga9oVlr+eT994je88mHN7l9+y637txmPBqtwbuXWE4kIukS7PkMQ3EDQl/DEV+eS6WUl1kjr31xxWRKIFJ/T1Fszk89OC6B+FkGUw9KvTg3SXpgiut6hevQrr8Nk3JdH9airZv7f81kf8liWs+/3vvLNvyieSOlhF0z+zaMs9n0govTM9q2fx61MshcEkLEWsvzp4ecPH/G7OKc50+eMru4oKlXpPWYfQGM+gq2Ca8DyIxh/+CAqqo4fPIE69wL4YBvatfF1W/fu8/tB/e5cecu1lmcfykz6S9o0Q4us3xVSwW5wJaKNrWIpKiEYpEMUnhy6QicY02kyTruf/8dbm7tYA/e4Y/++c8IqxoF+KiQCrSxdGXCG4NQI5w+QbmEajUJSYwgfODIVBRRULqWSgwonIVZQzAKFw3O5+hgkUQKEosMtItsWc88zHAxkXmDX0wwITB0S2aPD/noYkZ89wxrnpJt77D73fvceiujKBNydIxQASUSEwTBDlFJUuiaLlSQNDHBMI4okqFMlgaP1R21apBugPMaVMVcrGiVRyMJFGgkrZLMtaaWCqkceeUY0TA6O2L+aM7JJx3Ka2IlkVlg52xOqGoWWmJXBaJsybLIZLmDHSd8EUnJklJExsRWI4goukzgk6eI9MLgYkFTFXijWdSWUidyoZi6IfMYMCJQZiuCCUTTrgdBRHTrdY4AEeHgHFY+0VWRt881xYFi3oFSM2otODWJ/XqPmiW1XLIyp3QoTFJM4gilEkZJGheQJCojiBFSkEQkA3fQizGbyExk+JgRnOQidiglUHmDFC06KlTSGBLEjBQUQ6lopMTLRCgd2ku22l6QPaIJjcEOCoJ0dMJSqA6cYaet6BJ4FVhokLZgECWVDAxTTovjVHQ4b1FJciPsEAYClSLZeeSnP/oZT3/2jB8/nnI2iDgU6blEpw6hFNZtMZczIGFtTi1jH+6XzTBeYDVMywtalePJCQjiqCXphjB/Dlkf4meWhrKNZCkyXRqcF+udF7CZQkWJYYkQDhkFI1fhw5wmeVIOruiZWMWi5FkBM7vk/A/+KWEvIEaC7dEN5osZXQoMv/s9vvuNt7m3f8DdchtlZjjZEFcLFirQyYj3gRQGKJkzjC1BdoSs40wF8igpWon2S0ZRk6FoG40UkgJFhcaJhE2CbanIM0UoHF4vEWqJ0SsmviaoFic1W60jBcNZyFHdFB8tSSZ+ntX4vEXkjpBWdHhCyIlJ0arINLfMUFgp8dozLVuQhlBrZmR9Zr0Ag1W/NqxVRNMQpGWRBUZliVAZUiVcPYU20C4cF49+xKMnz/jzd5/QvSeYTVcs64QxgRgguoz2AJQLjFcdXTkhqoQ+nQEttgyclYmumJBiIqunJBUhcwgRqCa9iHW9EKilZ7so+Y3v/JDte3fZmmzz1s5NzDsKsyfI74Kvc5LX2GBQg31MU/P27Tn//kcjPj084tFPnnIhhnQ52Jkn+gqcJh4FKAtC0jinOA0SnTzadvjzMWmhycKMMIS5ivz8v/4r0r05y5u30D/4NvnYoEtDM/AMOkGeEhPZIW1BFkuiWmBTpIsBXXssipgJ8lpC0oQoaITF2oBDkFUaXVlE4ej8kNKsyHVE+hIjIsLV7DWBRng6aWl1AmGIYYyLKxqd6JQhjzVSJIYisYwOI1tyGpwMpFSBH5KprGegklhVkZDlCFESu9uI5Rx9cYjbCcQFpAvNyVZCF5FcJmpjsEJiteD0bBcvI3Zg2ZsNiHS02QL8AGQkqQ7lR4jGwXTJUqyISiPTFlvLFUIITsb7TGzA5B0qr6G9Q1oe0C3fJpi/JGUrRA3j00RQkXoEM6sg9KvB7RUIFTjbWZFwSDSxvcHF88eozHL+jqQ59XgByScWImBkIthec7O1kkfPNe60IVsuUWXg0Y/fRTrH73zjN/FGI1XJvXoPqxxNSByeJx5Np0xPD6n/7K+Yzj2LVUtbNIwXCeXhfADJ50hZIPdryllF1ubUVYMPGmEN24Q+uySCFbBgjIyS0WxJk1mcFrAluPODb7K9U/LpP/4Q6SxGNeRVTmkcMjpmQ+gaiK3kPA0xPiFtxJaJMgR2g+A4U2CBleZXf+N3efDNB+zcu82ZuiAyYiuVzBnTxILz8DWG7123V4amiasdbUEf5tHv7hpuv/UOVVWRKcHFdNo7bCFcCg3/Ivam4RSfOWftLAZnqW3Haj7j7Pkh5WDI9OYZd9/5BuPtHcSBpMiKqzAoIfsgnXUZX6aOX7hYXreFlAKCY35+QtOscN4h2chuvyZkRF4PLfr67E3b9rIv+pO4BKXEBpR64ejLexbrBdqGFbXR7Lp+3ObXSxDq0om99uVlrI54ZTP0O8cv1OCrWbqWoF70Dp+SgratOX34MT/50Y84Ojlh1Vm0NpdO4OtsAzC90NrpRXH1q5YR8AZUyC+83rUwnhQjtus4OTzk5PAQKSWjQUXXWUJKDLe3EUqjsozxZNJ374YFlF4EZL8K+PIZxtT6Pn3XEYN79UnXzoW+bYJzBO+IwV8OhRcbdAN8vBh29MpwwuvniD5fHLLXKvLesTg/ZXZ2yvGTJ/z8r3/MxcUF59Npf8aaMfhV5qfPM0HvPGcmYzIa8db9B7z1zW+zvbfH7q1b5IMSaQxCG4SQayJKRCsoomf77tssO0+ZGexyzpkLdOErAgRSEkPg6PCQ1WLB8NMx029/j7wsqKoKLa/0ri6BKXo20qZdN2NnA3r0n22+fMV4WD/AL8wzV4W9yI5aQ4Fp/YwI2TuAm0ngCqy5+nmZV0702ldS9oBzT2//Ss30tZncJIxYh+G9DlT6PAvBE6N8Qf/pZdsw0Hzwl3NESolmVbNaLnHeo6Wi3ytJONuxWix5+vARn374Pucnx5wdHV+WL6+lef5FWYtSSqRSbO/scOfuPUajIcfHx/gQLkGpL2tKafIi5/b9+9y8e4+dgxssls3VpsnLc/JXtOAzkoookTCdJBiDVdDlHSYZsijwISMXloKIT3Na4amNZe/BDfT2LTjw/MWfP+/FSqcJFwVKR5QOdFqQtEbIoteHIqHaflwLAjE6LrKScUwMUkeeclQAP5e4QuFjRnQDZOZQSaCERsqEEVAFz5lf4YPCuJzoRujUUTHl7OSCxfGM84tTWvuM4f4d7rc7DOQQsScxW0tc5tHSULFN6sqeNSeXeDmGaOhSoIoFAkkRM56RsNJS5xbpc1I0yKCp5YoGS5IDBiQyJI3UdNpglcaLyC0TyF2HP37G9NkFF89r8kzR7SYoPOPzlnkeaYzCrXYoVN2HntTblMkRVM/AgYRMia3OMDOKVkOHx/hEHhKoBlFCnRvqzrIlEjmaM1/SyIjTnpFs8SrgVYMSa7Co6/skICAJtuaaAPgQOZgp6lqwshEtGpxSLJXkVtrDEJCiYaXniFSgYskQELLPjim7PkOjMQlnVS94nhSlmxC0JamGRhhi0uANCxJCObTpmMSASAohDIaClAQpSLJcEyQY4fFFougMo9bQ6QQhQQeh0gQZCRpaZdFeMvQVQXmsAGcSHYaMhJQBg6ElspSOFBPDlLObBixVja877KM5P/vLD/jogxN+fm6Q+5CiIj2RqLwFqenckNasIEWiV9g8QynPtqgJOqfVcKrnGLGFlAVK5ujhCdE0JHeG0KCSpFyWDF0LMXK20v37QScSEqc0UUs0PUirk6T0OQsktUpQJlLRO6DSl0y15Sw1nP7VH9OVFl8K2L5LPDlBhsDOqkV4A7bkwd1tQqWxKkFjaZRjKSNZyEkpg1RSxBIrlyTTsFAKbTXGKVJYkaeCTBS0ne5DV6ViKAQL6elSZCA1Ugu63GONJWmLVi2Ft7RCYJVm1EYWGGYYSjvvNwKl5lnu2MoCBzpi0xLpNZKcGAVORpaZo42GKDxoWMgO7SWqLVhJjU8JFwOq6UNb2zKihSNIR5tFdrISkSTeSdqzp3TTjubIc/zhn/LeR8/40x+dcncBNmYEhmgdSZ2ApaYbR3IPw1bQDkpESOQXLVFaQuZpByDzon8WZk0fpWECUUBeCZQQKKdRJuf2ZIcf/OAH3Pu1X2V4Y5fyxgRXTkmVJe0mvJcErwg2R2xNKKJjZ9fymweKGz8b0vzJMdPc4GWiqRMx5oiQIc8tcScDpQkBZjGhEOz4hm5ZIESGcad0WwKrI4d/8iH5pyfYWwdMim32395nYDK6QaBAkTkocKgwQvsCJxe0ItAJj+r8OgMgaNuDEBFJIxzBRWKQmMIg85akPbYbUwlLIRwyFSjjSXSMrCSpiNOWTkUkOSLleM77UDaVYU2vv6aBuXao1KFTiyIhokH5AUFGeoTC4XMBuiALFdLvIOsBaq6I9zqSiySZmA1gICOTGEl5TkgKJxSz+QgqC5NAESu6JHCmRdgMkiOKhIkFopMkGlaiAVkh5ZhBc06XZZyOdyllR56BkS3UB2Bus/I3cSoRpIcoKacSW0QW+4GlzZBIUDBsIi73nO105LbFdAO69oBZeIiYtDQ3FG4RiDYhbA/+KAlGCGICGxSny5IwT+imI88WXHwKQz1BtRlhlCEEbDXbnHQXNE3D48cNHx0ecfroIbN/9hN8VhIKSdgPZEuBjuDLgG9GEDVy1DJa5GTkyMGyT1biNIUWGAGJyApYUZJixvbynLQj0FVOsTPm3m98k/2DXT75/06R/gjR1ZhxRa46JI6TiYAIqRXUosQEh3KOLoMyJgYhobNIJg0jU/LdX/0h2zdvMNieME9PMTFnkMYsUoWNhlX8Yjki+JKg1HVB0lf9fgVQ9Q5BXDu6585Rbu/y3Zs32T64wcOPPuL9n/8c61y/yFwven8R+9LO8HoHdJMZMNE75qv5nNVsxuMP3sPkOaPdHW7de8DO3gF3336HyWQbozUp9mLGIQR8jJeg1YuirW9a935hYUxGnJ9w+uwp/+wf/2MuVg02XNbuNfcDYs0w+dtyoGJapxuP8f/H3J/G6pbdaZ7Qbw17euczn3PPnSNuTM7w7JycTleWM7Mqq1RN0dC0QLQohEQLCYmPIMGH/oCEQAIkEELqFt2FENBNlYpiqjGpSudgO8POsB22Y4473zOfd373tCY+7Pece+71jYgbdmYVK3TjvMN+97D2Wmuv/7Oe5/k3uJAUTWD3MfCPOItVluyViwEinAUYF0GoJ359xj9ZEl/8EqcJzY4/sWlfBL1+AWBTSqSSRHHU6GmN4b03/ow7H77PG2+8QeGa0DvSEWdeNp9Uzj2fRAOqhNA4Fw2yFqlWKAF66SFTWsO8qiB4VrKMU2OofomsUBe94qSUT0jMJotF064RjI6P+c6//Gf85Pvf49d+569z6doN1jY26XZ6ja+cbdK8e3cmdX0OIPbj6oNli5eCbr9LkqbP9zshlobtrQaU4UKvuQBOXYAUzz5YYppL350l60/pCB3FxHGMNZYqL3j4/rsc7T3i3p3bPLx7j0WRU1TlOUjwtMTwM49rS+DU+3DOyoQmiOm22ly/coXPfe1X2bh0ia0rl7E0xurGeYx1YApgfg5wCtFkpEMIpI659c1v8cKXv8bnf/gD/vmf/il3Dg6ZI9BLafJzn+9yuyiKKPKcfLHgaP+AABRlyVe/8hUWizl1VaG1fqIduHMRn2gYTDSsOAfnr4Fz2TTn13LR86lhXgWWsrsn3MvP2t6TYKmSDRszSIH34Qlgp2HEXMget1x4EFKiogjxKd5+f9XljIXqQyOlCx/DnP24clYPdV0/e1HpGdumSYo1Fu8cpffESUy712V1c4tyPmM2HvPBO+/w/ts/4/jwgOHh4XlGpJ+X6X2Ga31qPPb+sa/V9qVL7F67yt/99/8b3L97l3u37zCfzyE02R+fl/MXlosmCMnNWy9x49Yttq5fpTaW+WIB4THDEZ4YPn7hMk9yBuKUHiOOtnp0gqZrNFWkKRYpYdFCaUGaKjqZpBBQ+EBtPAuGrLTW2bq6w3/lf/It3vv/vs2P/8GPiMKQ2vap2MXPPiKUBUyGZFl03reuUFIpwzBeUK1somUg8wXHw0OmdcxBvY6Pj+lGhk1dwWnFwrZ5JK4Q7x9hhWE/gWoW4W2MK9skyRAnDfukGFcia0eU55CBW7zLoz99i/t/3CZEW/j+V/nmv1ezebVPp7PJpWwGSnHsB/SyKcF7HpRwxcWkQuHVCixaWAlFPKOdzUip2JEjiiqj9hFFDB1vUEhKpdidZyQ+Zth19B9pRvsT/tN//P0GHE3m7KYVx+NA7WJILhOqKcFXyBcNqyeBbCi5T8rr9zboKs+f8ROEUAiREnMDyRCr5zzaEEQTgSwlZT8lKjzxsKRbFOQuYqgiAjWrWzPa/ZzZoUUsIC1hQ2vGWrNQiktVxbFPGYeMXOygJpJ0VvOd7pyN7pjd3pjE/zrrNtCRNQ/lmBUv2KnW+akeo51GW0UhhsykZIrmajSgUIFpFChakAnohUBcl3gZGsa/1swxzHxOGi/VDE4yIUO7lKRss6IE3kXUTnLSTklFzq4/ZiwlVvRYDR26i020XGCjA9RcEocOKVc5SPdZyAK3FrEROZJKEo9TTtv7GBczXWzwcLBACcdOLei0EggOUzzCfOB4660P+c/+i39EpMf4SgGrjSwlMrDjYZYQvMGnI9YWgtgKFszpmCtoCyF/yKN2QeUlyaOUr7mczTa01i/jBo4ZOe+WhqQqyIxkXaxwIk6ZUjLNc2yaNqDQgx4kBUFK6rDDpbBH5Etu44kGIDoBuTalPVlDzVuMgcF4RifNGbwkmD/wLI4iTh5ExDpDyoKTf/wOf/y9t/nR1T753/sP2V4bsNbqsB212EoCq1HgaNIEszNvGdspWejSCmvUeohKU6okZjwfgy+RwrLWgnGdsKgjEg/BWaJgMMmIedimLNdZtK6wEHvk5R4PienbISt2xMOwhowsWVSfj1FaSH5n7Qo31C6XRpu84wKd4FgVMCsKZBwRJRHtyQYumWI7lsU0YL3CipRB9IiZVyxcilNj4iwlWunjoxWSItArPeZOwfzDBSc/OOH/tPefcHw8o3zUGHpLKWjpFjaUBOXJ4oqyHCClI8tmFJOCwiiKokc6PKVDyka9w2j7AO0sq3sCwSNmocXdsE3b38frkrwDnGTcXO/x7/3uNXa++PvE2zu4q21OY8lIQRAFciEJeYwNgtYcWsaw6Y85GRWM44g77V2u/uoun7s24ZXFJn/y/Z/yzvCQP1lTRJQki5KVsuR43KKUkiSdUokIHQSrhaRaP2QWa6bHW8SHOVlcc2m34nT/kAcfDfnD7835b/23/x2+/juf45XPO07vVIxmgUPRZbcKtFzJLE4Y9RylLOiOLKRziC21yRCxJUhYjNdpuZTMREyGlmKgEZkhPtlDWoEPjTm69TGVSBlvZRT1grpaEJjTjTM6rQxUj7hUiAn0s5jaZVS2xZYbkwvBUCb4eaDrLe1oxPutGWhNpBI6szVawRO5kvW1UybdBdLDzQ9hFE3Y6465ugel0pzGEZd2a2azjMP9DeLkAGEtnMJdM0QpTywC2dohZfDMaw8cEWWetF8zutfBdyTqsuPkQYwwjmR+wOFuhawF0f2Er+3E6G3PO6+cUr91hfqog7QHHNKF2pKeLqi3akKsgBZHB3NE7UmPUtarCusc+2HK8YuSThbx4pHlYR5TVhJyqMuNRjzXOqIsY1pJmytf3+XhcUo+PEDP3+CrX36dF177PKuXBtiFYJ7P+O7sHd743rd5ePsRe+8ZsuMDZFlisoyO2UTXESVDTkOGUQExOCDMBGImSe7HTMIM2VqwuhVRiQqbVDy41mHtwTHJuAISQqhwwXPMOp//9TVe+fVd/uAb/wGHH1ruvX3C1M9QqkaHwGKyYAFAAvPlNEkEsmyBMQPqMqW7mDMWHY5Eh1DG/M7fuMVv/94Nis3LTKs+eZmxow4YOcmpk8hkRJseq8SfOk96blDqojHqRfDlWSDV0yWEQG0sIQRaq5vsBkGaZXz0/nsUxZlE7fmC16cZFb8UE+EsgLkoLWp2CqEBnWbDId44RoeHnOzvsXlpl3avT391lVbWQkcRWsgmFXxoJs/ngdAFpsTHXd9ZvUoEcaSZTkaMjw4YTudNkCbFeaD/SXUSQiPrOGPa/JvEpZ4MwpeAwjk++fGZCZsf8IyTPQNKLrw+D2QffybOpVGBT2o+j9vI2X4u7v+Ta+oic4MQEEqCd9gi58GHD8inU/LxmLsffsBweEq1zHDV/OTxcT7u/p9LUkJACcHm2gbdbpe17W3WBiskcYwgEMmGoWecZTaf4Y2h6y3v3n/A0WTC8SxHKnkOQjSgBJ8tkgpPhnRSnIuakELgjGE+mfCzH/yAR3fu0l1Z4dLuFVbW1+n2+rTaHc7uiLVNfw9nEraPGR+eKU0UDWhgnac3WKXdahMrtfTWevYFNYwMRX9tjXanjVICI8IZInNOqzmTfp6B0I/Nkpv+KlUDzHnvmgx64ymnx0dMRiNOj4842t9nPpsxnYyZzWc/l0HslwHXz9grEkiFoN1uk2UZ/cGAwWojz9u5epWV7W2SVovaOZy3hNAAwmesusdYwJOAaLCGKnhEHDN45TVemc3J+nd56933sM7hL7BinrdcHI+99+w9uI+ONDdffIFYa+IkxZoasTTjbdhLjwHlpouHJclxKVFbjhkXu//TBuR+KfU969PhrOLCkz98wsHqrD8ssy5K+bifPubaLf9drLfzb8OnjBZP1stfZmlAssbPS8ql0flnkJY93TYfJ0C4kC31wr6klCRpyiJfnNeKc475ZMw7P3yTk4MDxqMhj+7dY3R6QpHn57Lb8zH1M7KXL3qGXTzXOI5Jk5St3UvcevU1ti/vcnh4yAfvvsudD96/ADY/JyC1PJ6OYm6+9Ao7V67QW1ujrKqmPwePQF+oW79c+PjlihYVEo0QPaxO0Saha1NKBUpLVMtQRpagKjwOq+vGmBeNJsJXknkp0K1dXvqc47KV/OneHuOjAr8/ZpBklFYxCYqBcdQiYRY6DAP4JXOqNa5QGHKg6ywd5Qkty2HkG3kykpPQpxIKrafNYg8Cv+w7cTD0GJG4Euc8ZQj0ZwqcwGOxaYrEwzxH+xwrTymKD3j/j0r2NzOySzPUap92v4O7vEmeejQxK6wzTypmosaHBVkKKYrSVxgpqUkx1TaZd2jhmFNSao9CgK+YRRYjNF0dU9k9xvMHDO+ekOQ5QhqOs4CKDZn3DM2IKpf4IqJzlGOExXYFdXTAaSunUJJ6YnBmQgg5R4mgLgwYiT/tomRNkhi6s4hyuW7QERm1a2OIoDejMhYx1lgrQYKPYSwlJmsj4pSjckolmwxaC2Z4aGQg5Ta+7uBsIIgRQWnQglJI5kgQksiu0AmCrhTMvSNyki0hUExwQlA5jTQRkVDEQjFsF8ROkFhBVChaqkamJbmIiZykYwST0EH5hr1m4gq/NIX22kJQiLBCXUwg1CxaCygDVlicivCRR7iaqBrRCxnWgvEVM1nhQuNi5CODiyyFmLBmUoRXqLrk5MQxmc/ZO3nA3g8e8PDeKXaa0dlcgPD4qMDWLYSxxEWJrTQhksi1CFEVCNsoLuowXnqieb508xor25usbb/IQBdkkSbt7pDKkoqavl/QP3ZkhaNtah6+c8zD4xEPJw8wvoWXCcmlmL6zxMYipsdUrZK5COhxQBoFtUYEj6tLqANRFHAEFsSUJyne1jgdiJigXY4wDnyLNC+JDnJ++I+/zSBqsdbp8tvf/BLVlsb0JFK3SGRGJiSVDrg6EBvBepVhYoXVno4OeNd4uyxchcDTUg7hNUZaFrKg0qB1jdIL0lZKZ93RvzTBjwTB1SyCplMvMD7D2gFaT3DaUrVqTrolq6sLVjamRPsVtRQMI0UpNRmO2Myp0wrhPfG0T2bbFJFjkZ1SFR1iFdjOHCYIFq6iOBoiFgX7H0x573snWHOAOy2w93ImuaCqNUZPabUisDG2WGUWLZChRtcVkc6J0LRNB9OrUdLTjyoWqaMOnrFX2Cm4oDlVzTitpOdWNGe3s0ZrJSJ5sUM5WGdtZZXNGzdQ25tU7YiJqMi9RTpJ32QUzAnC0TYpzjoKAqMsRWHoG0G/9pg0ZxYJ0q9+gesthb13h+/+YEQSOVQnsPARRk2RKFZszJAMHwI1Ba62zbPEtRDUeGsYjzWVDY2kignvPrqPfr9F95UdFBGdjsSFmqADMwV57cEXaFlTiYpMNrLhYAJ1HHBRIF0tULmBSpIK0CGg8Lg0wgdBjsTLitIszfXLMcprJB068xGprxsTfhFj0ggfK0KSNjJKW2DLAuEiEpcybB2jTIyuE2QoSExEt46IyEE6FrKmTg2mqzErPQ4OF1RaI3oxp7OqcRdfEZwMY0QeWAnHVE2aC0IIpOScLVeqbIXIGOIiR9c1XgQWcUBrB65CDJc+SgIIHjVRxMHTjQ2jbsFKOuclBz+4dMiUnGpPIqMaJWqiqqa2Hi8keI9pucZUfWIppELGga1oCmNDmGsO43WKqoC6pkfFSNVYFah0TUc6OrJgkeW46BE+PmbegiNZ0S5OObnzY94/HHF4cMqDH/yUR8cHTPISpzKS4ImdY17XOD/E+Yj8RKOqBRJHOUqJ6xIpC2zXElwgCoL+kWVRO8oA/lSzkIKqq0mdYaXnaHc63Pzq57j5lR02b6yyPz/kJ2+9x4ffv4tSU6R8rEhpOUeE56QTSEqI66VXtZzjtMGrGCE87cTx1373ZS59fo1hX1N6Q0GB1Q4hFIoKLUZkosYLy1B++hztuUGpp4GgZ4FST293sVhrMcbS7XVZT2JWBn0moyHD01OMmfzSAd0TnjRnn33ajy5uH5agx4WoLnhPtcipFjkjKTl4+IDJaMRgfZ3ta9fY2Nomy1q04oxGiwjBnzGDfr6+Pu38I60oZhOmwxMWVUUcx58JrHseidgnHf9Z9f/05x/nL/V0UCHEGWhEA8p83N14rssL5wHURb6F4CLo1+zsHLcQj1vBE+d5fr4XWsm5HO/nr+vxGTRFS4k1FfnolDvv/IzTw0NODw85Gg6x1j1h5P9YBvYxgBSP60gpRSfOuLyzy+b2NldfusXK2jpxEkMIaCkbnxxvmc9muLIgy+dUSyDydJ5fqIMzsEXwpGDqsxV5sc8vwYq6LLn7/ntEyV2ydpvJC7e48sJNNi/tsh1dIYoilFQNU8qH8wDwvE99Sh8/Azn80neu3Vsha7VItGJh3XmdnW/f/GhZh5LeyoCs3UJK8cQ95YlfSB7zceTyMw9CNsE+krrMWUwnTI5O+PDddzk6PGB/7wGT6eyx9EnKxuvn3MvtFxu/LvYxrRSJ0vTimLW1Vfr9Adu7u2xdvUZ3dZWVS5eo8VjnqMrqcRKGCyxVnuqjcgmy4y2Vdyit6V6+yvX5nDhOeHD/IZOqpH4K/H5eTPPi+HZydEAgcHB4wOb6Bq2s/bg/Bs7T+p7tOSyDfRdCQ5sWgFpK6S5sehGOPMumuISlnjjZi+d78fV5HV+opnC+kUDwFKRxocsE759gJj3xrHmGzPCvopyb5Wt1nh3zvG99QvkkMFxKgfeCx2DShe+lRMdRI1dd1swZKP3uWz/i0f37TEZjJsPTx/s7Y5P9sqxnKZvxbgmcdTpdev0+t155lZdff53B2hrf/+73uP3Be9z/6KNPzVD7dAkhEMUx7U6HGy+9THfQJ25lzGYTgKYdnp3L+YtfHmTUOAQxjgQvAypkpK5NCAa0R+mKEFW4YHDBYXSFC4CPSUJEqBV5Hojba+xeFWyuJ7z/Tg//zgP8+A6rOmaiJVMtaQkQQTG1LcaU6ACJDyRTC8EzF5JubIgii0pqhrLxegteMA8dnDDEatr0jNA8S0SAiJqOKtAeTIA6QCeP8EEyFwIXpeAcqhJoZcEv8NVDHryZE/UVyY0huxtXWN1exSSWchDR1n3WXcJ+WlMqi/AzdmSbJGgSX3MiWlgfE+o2sVwgZYEIC4wMOAHBG/KowivJIOpwWt1nNr1DfjinRY2KPIc6sB55Iu8ZUuNDtzEirivMAFwLGJwy7tTMpcaUHnSBo2DUDmgbI6sIsWghu0299cYKYkGtBLFMILRxPkakB9S1xhea4JrMRyKCKQoVZ8gkY0aJUgalLQU5Z6tzwlxGlBkUEJgRZIJXEZY2FQKFQPsWqYSWgGNv6AdYcZ5S5digMC4mMQolmnFi2l7QqiSx0cg6Ik48MnUsXITygrYRlCFrfKVUjtELvA443TDOg+/iQgdfTzHaUiYl2ngMAS80PnYI63DVjHZYx3tPWeeMowrlBIqAlw6rPFLN2JhnhApmi5y92569kxPe3X+fe9/7CYuRR9brpCoCWVNFFa7uInxEVBjqWhIijWilCFUDTVZMkzReUyrq8oVbL3LjpRfY+NxXmMVjfARROmClVHgcWXvCygNJNq+J3DFtt4qODvlzTqhmKYiI7qqik0uS3JO4Ifd0YKoUsbQIKwmVJjiDNzVYi4oCVkoMMdUoIwJ0ZNDMicoS4RoQPLOWeGz44E/eIjGw0u5wc2uFoohx6zG72SbEChElGNVkoAweBmXGFIsVhkwJfIiwPmVsK2IBmfR4L6mlp1CWICM6ytFROWQpnRXPyvacfOGobEThNV1bEkKL2reBKT7y+HZg0jbMuyV1P0cfVNRKMYnBC4m2Bm8q6sQSVylR2aUdOgg1oUqmVPkOLSx9WbLnKkazitPDEnU84903jvj2//Mupv0esSlpLzyFvEGIE0Q2Iut7XBEzn7exWUC7QGbmqLggChlJ3UVoRSI8a6qijiQmGGbVBJlHCKmpWhGpEqzEils9wa3tHVZ3Bqx9aZOTq9tEnVV6rRvMdMkCy9hW4AtSp2gXKTYr8dKSWck8GGohGScdVusmU2lSGo59gVUacesmWy2L6SnWfvAOOs3x3jGsFE4siL2gV60wJ6IESjTOuEYWLiKCEjgBk+kSSYsh8gvuHjykfi/mhY+6XFod0E01a3XNTDdSrMp4hK9RQlBJSwdFhsI5qILASmhnFcLX4CSpU0QBtAuESDMTglwKEIZCKKoaNsoZRvRxtGnnM7T2oGtq4am1x6oYdITyHukKcm9Iq4TEZZjUYggYq4l8RMspOlYgdE6pAoVsJNE+Fth2xikeVIqIO8zFDB1ZorZlcqBpm4IBc+rG2Q4hAxGWICReCaTuoGxN7AzSFlgZqGuIY5DeIsb1+YweIVAzRaICvdQw1SUdkXCpjnBbM0pTYfY1iTKoYJDOImqQzjfjWRKQOqBsoEwVcRzYaC1wI0UhYw5WN3DmhMR4UrFAZRVGg5WWRFpSWWBFjtLHyPiEPIMTNycdH7L3zo/54cMhD+4dM/4Xf4HLUnyWIjZSYqmIkWjrsGGGJaKarNEOBUoa6vGAyMya7JipwFtQtSA9dZjU4yNJqCSu18JHsLHIWeunrG/3+I2/8Trrl7ZQWcwb7/2Un/3s+3z4kw9Q+sIsWEHsPRm2yYhYSrQVeGFROgdtsD4iSTSDtYhv/PWbjPqak0hgrMFTIJXBhwghHZFY0MVTikD+V5F972lA6nkn5GfB92I+I4oi4u4q3/z9v82je7d5/yc/5t7DR/gQmgDvM67Uf9IxP22b5QbPfC9EkzHrPMuYtezd/pC92x/yzg/eoLu2RnewwqWr17l68wV6Kyv0+wNYGtFaY5cTuudY0BYQEzgdTTk4GTeBz5Jl8jzl7FwvXve/qdKQDzzOekRd46oKebaIL0Qjq/hLZg40x21smi8CiWKJkDdH+7hg5SIbYhlsCtlMyh/zqC5s3nziEXTShIeP7vGv/vE/4MP7jyiqigAoqVBK87zUpLPA1tQ1l7a22d29wm98/RusXt4lSlNqHNYayiXT54ylIURE1OmQKkWkYn7jhZe49egh5T/8h5wOR1RVRaokM+eoAyAVWn486PiZilhmJVMKby2L8Zif/sX3eefHPySOEy5dv87u9Zts7V7mxksvkbXaxFGMq83S68lybhr+Maypi6ybEAKttXXagwFpu8V8NIGPGXOEVERxQq8/IEuzJqy8aCglAHwDlAWFjhOiNCEYA3gCgbqoGJ0ccnz/AW/96PucnhxzenqK8WdZyAJK68cSx2Ub+sx+dmfXu/xrrSWJItb6A164+SI7l3Z58bVXafX7yCRFpC2MtzhrGS9yhFgyqqQAqZ5kllxgSZ0Vf2E8E4C3jvFkzODmC6xcvsK1K1f5s29/mzv373F/PEbpxjwVmoQOn3Z1FyVy+WxOucj5v/wn/zG/+vVv8NKrr3LrpZepihy7NM5+muFzDjYR8AEiD15yzro7+xdoJK4fW7cXtvs4gFkEnuEz1vy6Abkff3U2HpiyxpozceG/ndKwZQMyavyPrG1WtT7rGTVAFmglCEJiActTYOSSgRposr2csdjyPCcvcg7298/BUKWXU4glk/R5ysXn8lk/B4i0Jskydq9cZefSLv3BClmnQ7ffo93tsLa9zdHRET9+803++T/+R/ilb+Vnuv4AeM+1F1/kxksvs7Z7lboqmE3n58y5C2jl41oTgecd2z+21NssVMlCFcTukFxIHukOQjpyMedUzHHEWGEoZU3lJBExqWgxqCRGplRtQTZSyKiDaW3z7//2Nu+tvcIb7pjjH//nzPUcrimGyVVak5wbe3e4yzUiZ+m6klO2saIZA6dSIIOHEjpFgZeBR4lH+cYbAyArM3xIKEWbrr+Da9c8vCYI00CwESG0iWZzAEzSIgwlcfCsS8noCuA0qw8SKgr8vKb42SH/TBw1beAfCi59ecDVK5dYvbWg2u7gugmttR2OrSUzlmtzxczFCBRX5Zz9EFG4DqtBktR9nIoYt0taZUkrOOJ1h/sgp3xzTpHHHCWCOBhW75YUSUwpJTeqitzPqIRgkWUM5jWt0tNqw+HtitE8QHEZaDy1kvSAuupgRUz3hTmldeQ1LFLBYM3SaXnuP2iCRWkD3aNA0a8pug6/32WNkrZw7InLaDcl0fu8HFUMpWJMTMkOEVOUnOLX36c3TNl98xrpN3eQpiaIgoFK6NuKri34WfuAU5WyEBliJljEE6p0glI9Ki/AeRJhqULNQXDUtqQOCROZodQ+2vXQ811WkxntYOgETx9JriMmcYtpaCNMhTIFthwwD4HKHzOINViNDXDcrtB1oLWQjEMXLSU6CUgmzIThkarZmvfJyKi1wrsIRI0UNVUyYXw44t0/u8sf/b/+NUfTEyatBddSyHqKk2mFPmy8cSCQjGdI54jLksuyos5T7r6dohFo0WQnXv3t3+P6Ky/y73ztOisrPayOuG8hszngmaARiUdqj+xITq8HYtvlkv0c1zeOGZzcY/jTh7zx7VOKR1N+80PPj6Rg3wdWQyDOA53YMt05JV7ESK8JkzbB1AQMeZSTrXaJIo14OH1iqOhJSUs7+rt3KE9azOcZ9W6XikOm7pD/zf/u/0ycWHqdmL/55d/i4Rc/h35pl5WWY70Fg5ZCnWREZkRcVSzUGkQCHxWMw5iB7ZOGNotuoFysYabbyE6FkAukKLCdddb6XV4eKL4bYuzy3GZpChTE7AGBKBPEK5Kd9jqXqnV29leo1JAoWZCmHnncwriIo9BDLTZIBprODjw8OABvSWZtDjsHlMcF4ScL/uz4B9z56QEf/ckBhEBaWy77igfTTRIqVuSIOQ6coGVaDNQl6rjGJI8gBFxima4KQlVSiIpJPMEfrZAYRxBTNk8vY0LNwu8xXC/JeptcXf8if/dyyuD6gOLrN9jebKNUj9zsEkdHaAN+nDHuHVNqRywGpG5O5B05jlY5IChD3VqgBgHpPGE0Y+QHBO0xq3sIA8omULbY2r7Oq+ub/M+utrj7T2/z0e09/oF6i85hICugJcek0QIjFVPAiECIDVw7wYoKVwXi+4K6W4N09B4FJj97i/FHd/mff+eEb/zXb/GFX9vld7au4eyY2heM0oQWCTExJZpRYSiKmmh9Sih7MEwYiTFd16Xl2xC6iOkQplPqssa1EkgSIpuxHiASDuUjojpQ1I4Zl9FYImFoqxFrlSYxCXOfE2UlOjOodA2jDAtzyqZPyJyhZYb03YBSzCnkEb2QkCUtRNrl8tEe070DDvcmuLCDnyr8NHAttCnnc8b1lERDLTrs2W1isYeMK0RqmJfXabdyNtePmozWtnlO2yxDtRyDgWHqm6yF8eSULV9TC8mpiIAlYLMQpCNHdTnlzzvXaQ22Wcsf4bM3qKoOVaphp6S7Dy1j6Yuce75LKTOGWZ9YHOFFwZ4OlGIHsg6tm4Iy38SFNqdRjaAkc4BrcZoVpKHmKz8d0mr32N+ADx/ep5zd5vb7d/lP/7Ci6gSsEPhWi95qu1n4f3TMYdH4eXUpKUSGlZI0nSJKQ+QELxQZw8hRCcnq3ZIyibFKcy8GvWpItzq8/PW/zZVLXTYGEdd1xaLVIbTarF3a4vhkj8P37vOn/6P/G3uipog9WZ01g4KG6nLFMEDi4MYETsI6x6pDWL8D0oLzhKMeX/3Wl/jq77xKubFGUbexswiV3Ed7EF5x4NdARCgUW96giR4nFPqE8pnlex/Hjvqs0pzaGKRWdNc3eeULX8K5wHgyZjKfP8HQ+Czl/HyaSPGCLOEcO336BJ9vmhke/xHn0p9APp1iqoo6LxifHNPt99nY2WV9c5NWu02r1T1Xknjvmgk+T9cJBORSHhCwpsaYJld3aA743EHvL7Nq/3HHeH6PmSeDXynVY3Nefh4o+4UBkgu7EecanwsnsdxGLJkNTwpuzmgSZ0H8kn0lWDIh5NIY+XHQ1NSpRGlJFkXsffQed99/j4cHRxjnLrStn7+ej5WzAnhPmqZsX7/BK7/yeTa3t+lsb+CVoHI1zrvzgO08RlqCb84GvHNY4YnihGx9k6/85teZnJ7i6ppuljGcThhPJ9y+c4fChfNMcHIpo3rutv/ztfcEqCBoMsJVVcnho0fk8wX7D+5x8PA+q5tbDFZXWdvYIkvTBgTyy+xhrlnhbMhdz24jZxnDmk7wSecklv3dLUFFSfBi6UVzFlA2/kAyUsQ6IZ/POdl7wMO7dzF1hfOWMi9YTGeMh6ccHe5TlSXGuXMgTCwZR5+l3pr+/VguyDPYjL1+n53tHb7whS+ytrFFq9sjXlvFKYWTEqzBe4f3bjk2yieYG09LB58HqBdCYF2TiS3b3eVXfv3X2bh6lfRHb7I/HLEoqyfYjhf79idfb/P9fDrl3Z+8xfj0FO8cGxsbtNudxoR+CUZcyEu4ZHgte2QA7xsJ30VF3tNMJhGW1014vK9wxp8S+CVsHYJfZuW7sI/l78/kf0IKCI9ZQ1prpJI4B2VdYpZeb59Wv39VJSyfZ9adtfHPPs4HAkmUkCYJg16Xk9MTvLHLqn+8PyEE1hpOjo4p8hxn7eOFmbP6OmsHz1EXF+/dEwbtIZAlCUmasr61RW+wQrvbZXVjk063T5ymzbjbytBxxHgy5sN33+HOBx9i6/qzA3Kh8dW5cv06O7uX6a+uUpcFzhma6c3ZHgXnDFOxnE/8JTClVLxHB00HTU6LRGkyYSjlMZ4E49dRsjmeD9APgSAgBIOWBRaNJTBpDamkZ6GbsSXaafHab21wYq+xd3jA7dNTkt4QWwVOQooXAicFldKsRGOM9RTlEiCOE1S7TV7NSaRkNYo5qWK8CChAqiZbV53krCQeEzSL04RVU+KBuXQk3UBwgbKoEatTahU4dmBKTbAg4gVhCaQHF6hchyAVpIHD/SnlzFDfA7cqibe6bH3tJu3WJaTqYlSPgVYoQJmIWlRUwtGSkpopQQjWSk2FYioiBvMIIRVJ7FilIFiHUB7VbW6p84Kp0hgFVihMMqC0I4KrmFYx+ZrGrQrYG6HqGOUFeIhDjqKk4xOiQlKXjQfezASKQpCaPi6uqLMZ0RSsUTgRYUQHjSMWlkhPaHUK0swwGirKJegSMaEdF6Sxo4wzpKtQ+TE2shS68erRVNSyYCoK0mBRRqFCiotGTUIhBuSVRchAVwWCjFEYIkpK2yK1EV0vyNim1o4iGpM7R/ASQUwa5VTCYYzBiIwoJMRBYjOJsApVpkRugfYB4QyHLhBcTESLrHJEscenkqmLCT5m23WIQoTRcJzOiaxE6pior3Hf22f003v87LtvECanxKqEfmBkQDlHWpdMU4lLBbajGBw7sJIZq8xWDU4HsDMmOawOVvjir95g64uvs7W9Q2+QUCceF0pWjEFqgRWKhS0ZRQIhHCG31DbCOsEklPQ7Mana4hX3e6xwiJku2O5VbJzUjI7n3H7zHUrhcVbCtE0UEmQEVTahM3ekxtF1gnyosDKiV2tKXWLF48QLwUF16qiNxaoavRiTOY22Kwxti9It8Kbkh++/TavcI7rbQ+ys88Wr2+itdUbZGrIbUFlEy+fMTczCaKKyDaox29YLQ1I340daK6SIMN7TFh6nBGOtCdDILqVHVOt0CLRxKKaUE9eY409XyLfanPQlpfNIl5DMUqbCQCRIlGItLqhswd17E/b+7F1yG1HoDjy6QzmdMZ1OuVMcUB3OGMxzLCC9x+HobxVgPLNZhFPj5RgrGA1ZsoiasTazmvWZZtoBkzjqtKZ/kqOC5CCkxNGCIByGmJde3mXz8gu8dPPrrK6m6PWIYjOm9AKsZm4rjJyDtOStmiAdygui2jScHOEpulNkqZDCIZXB2ATrFEEL1qwhQmLqDaZ4nAqE3oRTYYiCILvxIju/H5Me9Jl9mPPWd444Pcx5mDpK28xvQntAFC2IqIn3F5SiRXAZWT3CTSO8jOjGJVVkqPWU3L/He398hLm3xa3/8t8hHaT00xZTY9CRQUiDLNawQCUDLWuJatB1jAzrTXbXJJD6mkI5jABrFWVqsS1HNOsgDHgHkzRFixapTIk7C6wRWCsoWxmijpBG4NoRwlv83OBEgRaWNK4RGBwpExGjcFgZYWWPkYI0CHRhOPhRi+quZqWqCOGU0Bb4Pkw81KLGCAtyBXKBmk0AT7ASSo3Sc6yF4XCAtRUh9tB2pCeBKA/EDmIsgRoyw8g4pPUMTMPADzLwKPVcrieoOMJudig+EJiTObquECsCrwJuEdPyFgVMlMav1KgQUAW4jmkWRIuI5HrJymqXz115iR+99zZjX1CFDj2niYRFqTEnHcFUGf7kvUcc2ZxZ4ajsBsrOgZpcSNrSErRm6FeYxzngqKsYIT2RdLSsIaYBrgpACUAEpjpvMh4KSR3FXGtFrA0yNj5/jWJjFbfao3+jz2p7QC9KkThkIqil4tHU8PYfj7j7g2NOTcAqRRwiorqDUxVeOsJiDVNZfOU5qRRFy8LqCBGDLwNaa177O7/OtdevM+hvkdQdek6iBTiXEZAIYVkNMybELESEJqMMFTnTT50n/cKeUk//fRbo8ExGw3Jlw5lmpbfV7bO2usb48BABzObzT2V1/Nx3Z/IUQGmF1pokiimKAuc8LvwiU/hnH0/Ix1ifKUvqomAxHnNysEfW6TAajTD2JdY2NknSNnop5xIsV+iXAfRZYB/Og6jlV/gnr+95MaEL0rl/U+Xn7vnyr1wCAEKKJpi5AGD8slnani5PZPd64nwCLHMWcn705t9jucpZkLl8LYDw81IsIUWTIj5Y7n/wHvc+/IDTyRQdxUglnzBkft5zjrWm3+tz66WXee2LX6K7uoLDU5Ul3tjzMz6/RmjaC423S9OEDCHLUN0+r3zxSxSjERhLv9tjeHzA0eE+8+EJx4uS3JhGE3y+53BeS79I3xAA5+bYDUg7HQ2ZjobIpdR16/IVNi7t8sIrjtW1Dbq9PlrqJwCep5mAjyWPj0+z2T88LU27eDJnnmpnKddDaDJRnltqLwGWxifLMx8Puf/Be/zkhz+kLPKGlVYUVFVFUTUp73/5DHoBLkiBWErp5Lk0qZmMbWxucu2FF/jir/86MsnwQlIHj6kNwTmCsecwRCPb+vn29mnn9vRigpQSZy1eSpKVFa6//jobO5coJyNK5zBuRG3tz7WNi/33WeXsOWGqmvu3P+Lk6JBOr4f6/BdIW63GsHvZfs/GvTOQ9JwlF85ApnA+YT1vueJpoJnH2zZvztvk2T3wiCYBwvnWF1v/cqdPyXmVbjzMqrqirKqGmfQx4+vzyJ5/0XI2agHnoJT/Rfa77CNJEtNpt1kZrHA6HOLds7P4WWsZDYdL6eIv5uP4cWPLWfuPpKLX79Hr97lx6xZr2zu0ewOyzhK0QBC8QUeqMek82OfOBx9w5/33nzl2fNq5SKVIkoQrN26ytrlF1m4znU4fg7pPnPTFPnbxLvziRUYndF2fDdfnVLSI0STS4eUU69eIQ6dZ3EHig6SHpw4FpVgQy5oag8NSRAtKIVmEBOcDndWIm2s9Vo+uIr3j9P6YWE5YVDET2gTh8AqqSLOeTKmFw1cBQ4bUmqjVIo+bTHZdFTNKI7QOtNpt2nVOTs1Yz8m6EplHhJOYrjR4BXXkiNrgbUDkFt3NcRGMjCQ+VUgDQpcE2TyLVQDjMhwxaMdoNGJyOuWoGNNKa7qXeriBYX09QbQTZr2UdmxJJGAjjMypRU1LaBxzZPB06w7zJKMSEVXeQmpNkkFHVNQu4CWELrAAbwSzKFomPNB41caKGcFXjJ1C9RQiAcYLlCjRRhGCIqYiJpCYDrJQqEIwF1DUICxsuDZldIxIJkQzMC5CmxQvE1TQRAKUWpBkhrTtOZxGDYs+eGI/p6UNrcSjZAeJQYgxNjKUOsGKiL4oMaqgoiAKAu0k2ktsUqJUgqZLbYbE2pHqQCECWjhSDJMyJfaSnoCuX2Uhxhg1ZFEl4GOk0DhdYrxtwHeVIr0mchrdCwih0UUL5QsiHFGwOCfwRDjRInJjtAs4IVmQkISIlRBRCEOlDJO0YmWu0F4iNEzff8jhWx9w56dv01aCuCtQrYjZyBBbT9965gJspBDdmOTYEpzEiC55PyckJaqYY+MeyfVNXv+bX2Jr6ybdtIuWM2bUeG/pWoOPI0oh8KamjJsFirRspG4WwVzkxIkijvtc07/Kte4xwee4nYKX7s6Z3j5h/vCIWVlRVwE76RClKSJ2CH1EJgKdAM5ryrmiDorMS5yoccLipcLJxrenGIOLHSGqiXNDx/WJXYuZiDChojAV7+09oLv4gOS+YNp6nf7nZ3RemnB8fcFKd8Cg3ablS+q5Iq8jOj5DKI0RHp03QWwkAm0bUwlFTUwSO4yUjFVKoMQLMBIkLZT3dELdeLMtAoUN+LxFIVImXYVdaNJFRpL3qdIhkVRoJehnOQ/3j/jgw3uc/smPGbo2J8kG62/8hGMz5racAZKO86y6gA+OikAuoDUoMaVgUShCNEcGiTAJ05lBSkusmud+4hSreYLtB4qoxkeGVd34lJ3qHlHHIaUgpcutl29y/cVXeeXVzyPSmCqt8a0RxaklGCh8gdAFVhnKxCIRRE6glxlmvQ7UrQWpixGhyWLpywjrdePR5B1tBMYOyKWn1hWhdcTEeKRI2ehv018T9GcZWX/O6T2YlMcMxQRdNdYEKuuC9kgTiI8buZwnJguW0sU4qUkjS4jAR4Zc7vHgJ3uUH+zx4etf5cat6/TiLpldEKIKL0wDKimBFQJpfCMxtAoXuri0xEQVia/IE8dCCtRcUcU1Lgu0C4mvPcHBTCd0VULqIuKsJA8aazRWJVgkxgl8EmELgywUNinJtCeVDpwnD4KcCCldE/upFou4Bm9JFxUH70WUQ0UveGCKT8GtBB45j/UCgsLLNpISXY1QnmZh2Wi0nGFNRp53SBKL0A7ajug4EBeBtBSksiKkBt+13PeClhWsW08dHLM4cJTA5TBFJRrXGWFnAjeZIYwjbpeEoHBDTUTAaZjGGroG7S2qtNSJBy9Qs5jOpcDOpZgvbF/hTvwjZiwwoUXkUlJRESvLJBEshOP794+oWwZ8TGx3aIUFQjrqJCHTHrTiyLWxYg7BIEJKpAtiDImtSWWNlZIiNJn6vAosYkMaRyQ6RUrJ9YHmhe0ON3/7FqerN8nbfUhPiX2LyLcIVhFCialr9k9Oefu7R9z5zgmRUgSa50jkY4J0OA9i0cXlNa601D5D9MeI/gxhII4SWsmAX/mdL7Pd6xAnCbLokMoaJUtKl+ClR8rAmmie1XMR42mxoGbI7FPnSb+Qp9Sz3v/cBOwpn5UnTFbPGFPOsagCpfN8/uu/xdpHHyKD5d7+4XJV8/llX2dMhPbaJq+89iv87t/4G7z1h/+cu7fv8NMPPvy4i0JfyDb2XMcJjz1cGsPZZT14TzGdcvsnP+beu2+TtjvsXL/JC6++ytrGFttb28RaQwjUZdVImbxvRj88IUicEGxtbFKOx7x750ETYJ2lpfqYcpElYa09/+zfTjkL+DzGWBBN+vramCfAtc8UrH3CtXw8IHW+xVOvG6Di55G+CyyA89vpkUqi45h2JDl5eI/v/Om3+fM3f8w8X6AjDcE/r2IFaFB7EQJxCHz9N7/O9Zde5qWvfJVFPqesC8LSNFvKxynbz3b/5GHkEmABW5Ygmgde0ltHSEUpYPXqdTac4ZUvf5mfvfkm9+/c5afvvMPcWcwZsKBUwx56XKGfjT11YfuGXRKd367pcMhsNOKjn/2UN//oX7G+vcP69iVe+9KX2djeYbC6RpwkDTBiLaZaMlHEk+1XQiMF/bRTIeBDk2hASomOU5JOv2HbKIlyhjovmI/HfPc7f8btjz7iww8/wDn/mL0oQAiJjqInGCDP217FOZLWACs+QLCmCcaA9W6H1cGAq7uXWV1fIU1T4iSjd+0Gca+HjSNMvliOfQ3UIs/oQhfYe2J5xx6DU5/OkHyW5PpM+lQXOU5r0p0t/uDv/Xd47ac/5s777/NP/8W/pArNUZJIY+ynAyJndXU2/heLnH/1T/8J92/f5saLL/Ktv/m30TrCO09dFUglngA5/LIORbiQ2GAJygr5JKPnieNyxmiBJnPasrcLiRKN0XPDOlx28hCe7O9wIWOoQsYRd95/nx+/+Sbj0xOstU2Sg3+T5TGayjlrMATO4Nbn3s2F+u33+nS7HaI0wdOMSeoZWevOQN5nlecBQM+28yE8lvopxcpgwNWrV1nb2GBn5zKtlQFxq4VOE0xtMNYyns4hNPLUTjtlMS8Zj4b883/0j8hns4YlJT/bvfDOcfXGDa7euMELn/sVqqpiPps+lux9zEjbfBIQ4ZcHppx7kcrGlC4i1QW2jJiVmnxtA6emRPonpO5zeEqcyCH0SYWgJRK2ihU0hoU4IK4uEXlFFATT1pwkQN9Lit+/xfXdFmu6xZ9+/ye0qpo1ZdmLK+zyseenASc0ptVIG6LZjO5wiLiZURYZ7+1HvP4ty2tffIFvfvMbzH68z1s/+oh/8P/5E/ZnYKWDlRFHdYr0DcPbnARMWzN/pcPlezWyVsyjNiVNtqV2lXK6OybylksHcN+PcEGS5jVVp0Zmnni3ZvxBi9HPAsd330CIv6C7scErv/NNXv18i42NDqZ3CR9ZlAu4kWHbbxKE4p20QPuIyAcm0UPaaY8su8x9f68JYlJLFVfExWNBv+kbhLJsPMxpaYdoAasl5n6EncaY/DJR6wQd1Uynl+nGCzJlOLjfQUQGZNOm12aQeM9Jsk+oA1mV0hM1ZWdA3e6QnBwSmxplBWW5gj3O0dOcfLUEQHnJ1Ud9hPLUwtA5PUV/cYD5So9hNGcrqunHYKMZ2joiFxibdXrRgpY6RASFDBblCzpRhvcCmwuUd2Qk9GkjnMbGkmkCRt8lrhSbkz6DCJyqsckpx/TxskLFC3Y6hqjqIecDxuWIxAZ6JBinyfFUssJ1eyQEIjdkHCl07eielkShR55JjtYM/eEpSdDsiD5lL2COH8B3v8P/9v/6Jod7M9LQYxYZRJnSfWeN4O4hQolFMJiBnScsjrfZcwUtCl4Uj5iKlFB6Vu7Bt/4H3+T6l1/hxutfgL0SV884TSWjWuO8YpHFDFxKAEpZsl6PiIInN31WvSRSgrq3YF8Igocr3rO/sUWlMjbKCP0tx9rvF/ze732eb73xNvO37/LD//f3eQvJYSVI7scUWU25JZj013GmSf1ePxzRMoHUR+yt7rIfHyKDI33UIzE5sStptVrMd+YU2YyX3i95tOIZtTV1eYth/xCZjdAfvsu/vvs+344E5VX4/Oe+wssvvk7/+ufptxW9tuXyjZrx3DGdC7yYEUcZKvI8UEf0dUZfpUzrnGO/ygGv43kTEQao0IPdj5jlgnIWU1U38N0h0dYE3T+knw3YEVuY6FeQSTMm9i8rimnO6HBB8RcFf/HH7/CH/+RPcHrcgLwIjhc5CZ7LQlL6HWZK8V4UuGX2MZHhIPW0HkHfeq7Vhvs0HnRpnVO//IhQSzjUyHbFtFIc5Zr01JAEw3rt+fxGh+0XNtj95kus7KwTa410UKzfJE7XWU0ERp6CneOmJxi9iZIRvdpT5etIr8F2WOvdp44s+50I4daIQk2/HCLTihBSXHGdG0WEk5Y7gxG16RJCoGjv089b+CJmUl0m9iOkKMirEUSajt7lq1+6xVr2Lh/97AP+4X/8/+BgxxIix6sPW+y5QybMWWQZghlpCHQqAWs5VRyxt7dDXSdYBD7MEZcyjtuS//X/4n/PF/5Lv8cLv/FFXvnyTbqFIi4NsjNF+DmBmntkbEbQUyUhrlG1R0w8Y2eZtAVVHPNiWTEpW0zjhGFi6boFHUq20y65XzB0IzZONml3J3S2RnQDSNFHhJRFKGmphCzRzFpTqkrh5pqVOqXvIjpeMO4tiEJNHGqijZiTRyc8uv2QA/ljtIaB3YEoZTIpOT6dc0lMULQIDNhD4noWv1Fy41CwiAIH7UD3wBMsBBFTFAptY5JCMlfQih2JMTxcOyHzsD2V6Ooq0kuEqJH6EKFqQgjoa5Yo6sCfvs6V3Tc5VYa3723QepDQSkq2eqfc7/aphCfIKbv7GXjJMPLEQ4n3EUXZ5jfcb3E57hN2jlhcGePskMuHIw7Z5lRKElLCEUQ089XOaJ3YCVocNXYJPmoy1VYSVE0a71GNu+ioxc6Lx9QPHXYeGAOLATjl6B4VzDtgk4QkvsTv/86v8rmXrrKxO0CrFi4OnGzcoT/NWK2gtJpcVjgV6EYrlGXK4tGUP/+P/pfkoWYt8qR54KQXWLSg3cux01Wqok/KIaZXY9cFPLxOOFhBHLZZDQ/5tT/4Fq//1jcYrKwzlkc8sofUeRfbOsUmh+A6yGodbbrQvYdlShosbxMTaCHof+o86ZcCpT5OmvWs3/28NGdZlpPf3CmylVVu/crrTPKC+SKnNs+Zle8saBGCar5gPBrx4PCYF770VVYuXSbu9rh79y513XhQSCXxzlGXJfVZlrAlsHHRlPmTEIeL8q+LRQqBt5ZqseDowT1MsaDT6/Noa4vB2jrtTpf+YI04jpaGteqcQVG7wMrGFsViQSyX8pPwJEjx8efybxOMesw2Ct7iyoL3fvxDqps3kFcuo5XGe//YIPoTgKRfRIL4zO2fuYtG1MMFEOKJe7jMnOiDIE5iRPCIOuf9t97m0f17vPvBR42H1KeAJBeDsjNvFh8CLSVZ7Q949eVXePHzX6S/sUFt6vPthFxmmAuP05tfUBMu9/3k1TTywUaG5J07zyxmgsQBsrvK7mtfoL9zhY3dyxyfHDOdTjk+OWGeF1TGnINUAEKqC4f77MygMxbLGfBMaHyzRicnFEVBWeSsrK8zWF1j59p1+v0B7U6XpJU27difSbtoQC/Bkv30CfW9rOMQAlI1nk9aQTEaUszn5PMZ8/GQ6WTM8PSU+3fvMJ5MGkbOMkHB+X17kmbz6eUcxAxnyDgASggSqdjc2KTX7bK2tsbq9jadbp+VtTWSLG6MoaVAtzsIHeGsAbFk8YmnE9I39ftslsrHj8NiGUtflEI249yT2zWgtiMXhv7uZW6mGb9dVHz43rsMh6cUcO7395kZQCFwdLCPqWta7S7Xbt5kfXOTOEnxzjZsHfm4O55l7jzDjs7AvrPbc9G0/OKixxnbtLnKJzMPnv/4DPASskE7z4BQGiBaqcZI/P333m2yu334Id6fMbc+AzPnL4OxejYsnf133j8aKfgvtEslMcEznk7OFzH+sooQTYICf+F5HGtNr99nsLpKp9djbWODweoqWbtD2mqj44ggBdYYnHeAR4qA1AolJc5ZHty5w6P791nMZvhlYofnvt4QUEpx7eZNLt+4wcalS1R1I48+e9Y/yc58Vv86wzB/uefrJR8ThGIiQdYxTlp8p8LKGO9XCG5ASwZKPHVo5CteOWpteKA9c+EopGXVlwSfULmIVQdeeB5KT+q22FjRbH9BcfvOHqeTOZO6xqwZQgBdBeo6UHlNbdqEZEoQHukVZhbwpkaqGfsfatKeZ+sLA774xTZfXM8oopLvvHPCovS0pOZS1cXZOUN7l/K0kULpsSP3TT3ltWhml8JTRk3mKBsEE63o2pR2UJg6IisSPI5iUeL7ClJwucd1aoI54e5fvMn8QcTqao8XX7yFuNRCtjNCtIqJDYl07Ggog8IRyJVjdXWT9pYhDEqM8kTCMxhBUUoqBHKtJq4ckYNoMKEwAY9GlQZrAso5NsIYVdcE6yn0FOEjgs+ofY4OFrVsJ3kro9KCtsuprMI6yVhrjKnQiwD4xq9ESMJUYW2KRxDNfTPWe8mYLtIBtcPpwPFBQfHDI/wLM/TlNt3NiLZKqL0n9wJlu8jIgPCkIQOvwWtiEWOlx0mH8I4QIpxv0RIFU6mZKU3kLU44ch0IPkGEDEIHqywx0BECl2cYHCYbgjXgIoyQzOMCISsiVdM2AyIP2lt8OqeOBLNY453BOQELg9CAcPjFlOLDPfY+esBP/vwBs+GIxFUMpOCo7/G+gskU47KGlaVrHKCCYs1b6pWcEBwn4z5XA2xu9Lj5+Vtsv/w6vZU1mE9ZpBavFdr0EOq0kWy6PgvfiLhXI0etFIWQuMgyNClKeISf4WyMJ+IoiylNibOWUdQir0BpkBtd+i+/wmpnhzTZ4dL4kNPpnPGDgtvTB5xOZsTVDCcUAcF0ZcB6rkitIKqnJLEhVoG2rFj0PYtU4GaBYhrhZpKFmxMqhRYCGw5hWONIoewRDxbEvZJZ7bn/wQfM98ckb7/PtXaL3X4L8buXsdkmLl6h59ZxxBivyeLGDH1mFVl7wk6Y8uJ0xHshoEIJ3lOXFu2hFQdCeUSwJVEdqJUlSEuMxTx4SF5V5K7G7D/k9GjIo4cnnPys4PCjfVQ1pO0NeZBMgkZphfCQhkChc6oW+K5nNJSoWLHTBRkswSYc1T3qPCKNLN1BxdjPkbUjrQO5yCARdAaWX//qNmvdLv1ohbUrPfpbPTZubJPGPaxSzKWgJXvIELHwIzIXE4uY1ClaWSOXUzYliSqcBBcKXJUinKeTFijfQruMltukTmYY4SmjESe+kTtKIxq+tYB2HWGsxgvotvPGwgNPluSIsk2N5rRdE93YYSdt8df/a4r799/leDjjQS+ijlYQQcOsaJ6Ry+dMLfoUMiFEOT0f0F5ShRmVkZRWQyvnzts/pRhO6TwquPrSGivbXVLfJ6o1wpecdGvyKCC8pW89pY8xRERiThpSspAw6iuIBG3jyMsCaZpsgLULVCGikoppyxPHGq1aLKhIo0CSWLyoqH2MMBl96ymkpUw8vnDkCmbpMnkHbWIEbz78GffevMvdP/6IqqoJwVMGQylqipYhxBX5VCN9IFAQujkRJekoYOuAjUGkAh/HaBIGPmWKQlAhgqO3Igil4nQY015UKAFjBJ21CcJKRnOoIk8VgYgFXqXozNPd2uf+vGI2d8SxaaRnxpHPA67fTDijIsJZS+Rj1lnBY6lxjKMSszFloT2nP5hTDwXWJCyixlPZBUFlMsQKEDsQOd6WUEF7VFJrRVCSXpRS2kCtwK7UUM9xAsa1w3XAK4WbZMhc0+1lvPbXbhCvZcTthEE2YP3Fq1QbK4y7CuEXeAyLOiIXCqEbBUulPVJaIrNg/uNHnPzsPvmioIgkTkkIFlNEeKuoY4dzERBjTR9RzIlsBXoCIRCnkpf/+m8w+NwV3IbCUpN6jaDFcTpGRwsSPGt+DS9SvA4I1yJIQxA1EWNSp8hc61PnSZ/Z6Byever+rPIssORMinTuJhICwTlyY0k7Pa7cepm7H90m+GOqukKI5zcyFUJQLxYMj0/48M5d/uD3vsXq1jZaKMqyYpEX6EijowhX1+TTCePZHGMNzrknppxnE9RPDi4uIAZCnE/Eg/d4UzM5PmJyfISOY3prq2xfvc7q5hbXbioG/T5SNvS7swVx6wK99Q1MVdLNUubGYv3PZ0b6/8+yrCfvcVXJRz99izjS9FfX2Bz0cLhzP5GLwNOzfMfOswCEC21HPLnN06+fL1B57On1ODC/GLye3U+JUhJfVpSjU97/4V/w4NEj7u0forVuVuk/QcbzhNSVM9DD088yrm5v86u/9ht0btwkRBH5fAI0sjIEhCVzR4jQABziQhDOMmYKZ7UtYOnbJUIDhp4dv7bNxipus3q9z+ZVx7WrV9i/d4eTwwNu377N4fEx0/mCaV0vDY2X3JtlW/40b6Jnfr9EEcRSogNNsJ8v5sxnU04O9mn3uvQGAxb5nN2rN9ja2WVlbXUpaXsaIF6CD5yNG59cnLGYqqTK5wz39hgdHTE8OuRg/xHD4Sknpycs6rphmj0jU+JnKedt+PHdQEmJUookiugmKS9cu8bW1hZXr92ge/kKUbuDTjNccLjQmNkbUzdjhrVN3T2BPIYnguGLDJmPgfmf+EiIi229adtnZ/3EdXiPwzN3lt7aOu2VVVpSwWLG3bri/myOeI528YxKQkrJZDRiNp0246wWxK2UzdXNc6DlaeZPEGfn+JgldH4JT5UzQOrxuBKeuCdnjL6w/O5svA0AyyyNUjSych1FRErx0QcfcPvDD9l79LDp85/AFP6rlExfZIMSGk+ys776WYsAXPCUxlDO59glE+pZ/MhfXLK6bGVSksQxrSzj0qVLXL52jZX1dVa2t1FRDFJSW4t3FucdwZ0xQwNSQqSbcW2xmPPgzh3ufvghpqqaPvvcyVACUkmSNG3kgTs7tPsDppNxc31n4/Qz9vW0Z9Yvntf2cdkIgqHwDFUgqiQklpAWeKnxdRtsRhRVVARsCGRWUopAjWGiFZVoZDctV1ELSSUiOsExEY5jCdfrAb2OZuUVuHJ5h0of82g0wg1KpPWIEKgE1E5jQwuhRxgCOSkNq96iteXwjiZ0Stp3DV/5/BbXtlNabccd8RHDsSelw61qhdocI8sRJ1TI0tGZewrhsRKqKpBEAaTHyZogwAnJNNVs5gnCRUysoV01GbTG2iI7omFl5ODSQMGC/ffe5+BtT7fXxZ54Nl5ZJdsaUOymrGaglGYTwVAEFgJyAdHqOp1Llt5OTJWXiNIzmAqMlVSRIHQc2SyQlAG2c+pZhLWSLAfjQODpiynOQi0EKllA3cc5hQszFOacsVhkMSFVXJpPsU5RoxhLgTAGtbSoqGKF1Roxg+A13ghai5ogPB7BjBjlYhQRaMnpacXx5ITkR8es+MBO1met06IOjiJ4EtdCqTk+CDQxIUQEHxFJSVAWfwZKOYULCbGYEYQgFxFd6/FAHYEoE2LSRjYqTogktIViXqZUcUWZTYnnGcIHrPDkSUmiS9rKIqagXCAKFphjlcYkHTDLTHOlR8YBbyoWo4Lhm+/w4duP+Jff3afncjrC0hGC4wyc95B7atdBSA1JM8HJnKJbG+peQekko/GAS6nmld3LfPUPfofJ5R1CHPCLQ4qWAp2RlhEqLgk4pF+lDAaFZQDsqYhSOaQ2FCpG+kDqS4LRBAHjToScFwQfmCWC+UIRKVjtJmRXrtFekWxeeokrj95jdnjIIz2kuF1QnTo6sxoTJ9RRzKLbQViNdgFdH9J2lpaAji5ZDAR5R2CngXqqCS4iDwFRaVKvWegj/KxFMC1M6BKlFVnPIirB4aNHHC4eIGIo0z5mZRV/5VfJdhXZagcp+9Q2ogqKgYbSSXIP/ZZl3c+5ujjlgxAQFChyVOmJJKTKUvshGEFUJhTOUBU5bjxh8d5HjOycoczh4UccHhzy4YMD3n/bIAtDRk3XCZyPsF5SZwojwXrLIsmpWx56hsk0o6cl66nFKsfUKU5Ml5ArssiRDjSxLYi8YzUWhNYAHQt6quLXv36N3a1L9DvXya/10FlCR6fIRcJCSPIUWjNPMIaFGZO6TTQRaYhpy4ooOJRTmKSkEpYZAVNvIX2gHc3QLkW7hLTuUWuD0zm1npEHhXSa1GQI6RFB0KpSRi7C60AnLcmXZOI4KrGLHnWIOEmnpNsD+v11frV1me1/IvmovsNf5JC2Oo1ccZHjvcAHiUdRhS6lT4n0Hm0DLSHIw4JTm2BtgmxbDm9/xOL9I3YOUnryZdodRaTWaFuFCgkTcUKtAiE4elVFTUwhNVmw9L0g9TEHPUHH1bScoTYB4QIeRe0c1iusiFm0LFZpotBmISxKe5KkBkqMjwg2ZmA8dVRh4govAosocNwKbPgETZuEhPfv/hHvv3WPO3/6UZM5TzaZRhfU2NQTrViqMiE4jxcL6Fiihac1hgowQiJihYtiopDSsilz91g61GoJ8qCZBM3uAqzyTGPPSn+GqQWTWlPHDq9BaonzESJytNdOmR4b5rklimpaQeG9Z5pD6HlkkESFphYlWkas+ja1KMllxTzOWXRPGLkF1Q9zzBC8jSkji/cOnCTYDJ8EQqtunn+hRBTA2GO0QsSSTktxmAdy5bE9C3VOcIFJBToFFWukXaWrEta7K3zuG7/G+kaPXidhoy24k7aaOQEVwkzBlYQqpQoapxSxlzjp0aKmXpQMf/ohhz+4TSklldDYIAhYbBnhq5iq3WRqVAisbRNXNdoZgp4SxxHd9S4v/I0vk3UGVJHF5AWx0MS0GadTpKyJEWz5HlYGKmmYuhRBgVAFMTM6vk3Xfvq87ZfOvvdp2z7z9/A4JjoLdGpHHWlIU37rW9/i9vvv8f3vfY+8rj+VmXJWAo1kY/ToAW/sP6KYjLl56yW+/Gu/ycrV69R1jQUiKZoMeVXB/r17nBwdcufOR5ycnFLX5rFsQdD4yojnT/l+Dh5I2UgDl6Db6OCQ8dExUin+IvsjNrZ36K+ssnv1Op1en3avz+7Va6TdbbbSNn/wB3+TP//+X/Bo//DnsiM9Tz3/2yrOOuqyYja7R291jc7aBpe3NjGmxrrH8sJn+V817UIscYgnUKhzcObxR3+J13x2LlISxxGtrMXDd37Knffe440/+w4n0xkuBKIoWgaHn9wOIiVBCKwP1HVNFGBNaX73r/9NLr/8MiuvvMZiOsUtimX68bOQ/LFkNQSW5sJPHyvQGDILPPoMdViyPR77H50lCwh1xcI0cpdoZYvtjUtcFvAVUzI/3Gd2csxH7/yMyXDMdDrl9v37zKynBtSZjO1jrvcTAWmeNDVuGCiaQKBY5OSzOUd7+2RZm063x8uvv872lats7uyyfekSUZai45ioXDSp6+3Ha1jPJFnBOX7wh/+MH0uJ8J6DvX1qZ7A+4MNZlkWBXhp+fla54hnTyBOaibS1SBpJyGaaMeh12dna4Natl+htbNG9dIXW+gZBRxgCdW0orSdMpxDscpUsnINHj9Hn5efNUXms373wvXjqo2cNEeHiPpcf+eaaH+OmSyB1CbZqraiKAiEkq6+8yu+0W+x9+AF//z/7+1QhYJb1IJU6l5N9Yll+32SmhPt37zAZDfnxG2/wt/7d/yrb25forgwo5nOCbyTN4RyQlJyppj6puzd4zRm4fAascsafA5aGl0s2m19K985rWEmUVrTTHp1Wi0hpTvb2mY8b8OIpsuK/lRJ8OGdHyTOvvs9QBM0z6fTgEGg8o9xnZB09ucPHvztLWgDQShLa7TbXrt/gys2brG5s0N/cxC37TFlVhLpeNs0LCwrLfBFCCNIkxhrLZDzhX//Tf8rk5IQyz5t++xzjLzSbeO+59eItrr3wAldfeZWqKplNxp/xXj7d0X7x8jDs44lQIsJ3CoLMCGR4cZtIrxGJHe6ZlKAKlJ7Tdi0WouTE12ybK8xVzUTnbNkeGkGF4afJATGaa65DFR4yijx1EvGb/+Hfovez9xl9+8+wRU1ZCBaTiHkENo5BSK5vKEzlGZ4+eZ5ZZpnf/jFv/K/eobb/fV793Abf+PwN/pvtVfLaMo8C67aFcLcozV/j3vSA6sEYvnvMv3j7TxkuJmTZlGq1RHhBPImJjiNoebhRMftIQOmo4lNm9QYUmswHmFTnNe0ftfBxhN9p0do7ZHEw4l//4fts/+sRWU/iv3CdW6/8Gpc3Nvj8RknRinBxRruzS3QNdq/s8h9F/2P+yf/h/87dDz5AvwaX7i2oZxWHjxLmsmSSCMSDPldEQV8YXCFwWrCQgv00BcCHiKraYe4O0EzJWk2WIgVcqioOZgWTPDCfQk6PSnRxboiII2QkSZlRFw2bYi0rqEKND47depuxnjBXMy752yyCpiAmLbdhJ1CtGvb+0d9n03+LrRu/y+baLqI6JC6OWLdzKiMYmx6TlbgRRtQ1K0YuTYYzkrRGW480jj1l8VYwyA1zmRFJRao0c2nIsKwq33i82Ih5HTHuWzIbsz3boi1bVGrGzL/PRqKIlCAGFvoIpSSxFKi5AFET6RNMe4JKOsStNdJ3PuDeO3f5o2//hNtv7zMrCkIvR0xb1F5x4ku696GMPMOsJiMQdKDoVqTTlIUTjIMiOYrZEIY/iI/42t/977H+lVdxn7vM7P6EUOXoXsT6oo83MbPg6MYCIwLDesIVHZOGmNx0UPEBUpR4X5IlDXtkkL/EgVYEAZcWnjydYJTF+TXWi7i5VuUovSBEGrGyzfj6DlVWcem/e5v/4L1vwf2c4gd/xnwumY0K3vved/gJgvtRM2bYk4CRAa4vF6yny7lZVgIl6UywZleIfJtZUXCyJpm2gAdz8ocl7jAQXukSB4cuLfGoYD8ueHR6jPyf/jOu7b7P1SvXWfzuddorG7T6q4RujzTukag2C3uJfTQf+REesKnFp4abVjJeJNyfJwhSqBV6GPPRm4/I/8UDbn+w4O0773PEnONoAT6gopooMazYSyhqpJjzKA4EaxnUY2QpyFcFpzuSIGr8wuMPPOWiTTVvM5xk2PYHxO0pvd6CcccxL+DwA8HXbm5z/bUer31hhfbqr2BW1phdWufmxlWEtCzcCTbqsXCevUXO9nyOlIa+rTiaZ6ig6Ck4Uo9QKmYtW0PogPKKhAxTDLHaMM8kCx1IvKefawRjpC9JbcZelZCbCOk6REhawXPDVYzXFFYI3GmM8J5QS6YHV0iSkhBXnIoRSdRC6oSiB8V8gYwFyeVNbv3u11i7MuDH/8nf58PDFSZBsrpdMDkZsKja7NGiGkpccBgXc5BU6MQDKbIt6UUe+YHDRIpCF/yrt/8VB/u3uXnlMl/4H36Z+PKLJL1VNmd7jK0kd4GP5JyVtmAlctiDLmXpMWbCWmtCmoBWimm/x6xMmFSaLT9E1hpVagYdB2ULV2f4+gDXWuB60J84rIkwJHxQT2hVJSuhptySuFgSxxo7cHR1m6s2Jf92jTssaZUFoxdWcLnGjBTbVUVsAioIFkIw0Zahquk/2iVIwzRrfIesaBPyAVUJVeaZXqrwDwwqNJ6kd29rIm/oM+aAa2hXkOWHHBys4dsOcXnGNgKXa6anEZWZcxRWOOy8QL16irQ14T7c9xlCOuK4Jpo6wBEETK9IrCjpzW5zPw0UKoCEt370Y1SliB9GuODpS8dGVnMkAtgWG9UGDx/l5ChC6JCmliiKcKuXCdUpIRSYUBGICSEhlFvE4zHClVTtipcKyZW1Hq/9vd+CzR2S7oCd7gZpXaNcoKxb4Aq0NE12U18ThZgXQp+5UMxFYE+lWD9lVpzyn//xd/jg/j7HtkC89iL6eIiazKmyjFBnECKKRLDtR3T9EXtJQmfdkLQcpw9jvvV7r/HVr7/EwUqfxFsSOyJVYPwm3q/wsk8YioixWPBRdEzA4XFUPmbTp+zWmtPkmELlzNLRp86TPpN87+Mke8/lNxWeeiOeeisgeI+tDFnWYXVzm1dffom33n638SR67tVRzoGgh++/S6hr2u0264MBsdK4ssQH0chFkharl6/QWlmlv7HJ8PSUcikxmg6HFHnObDbFen++En+ehfD8UE8xDs4uNTzmN5zXHRCcoy5yhocHLCYTZsMhcZrS6nQ5PTnm1quvsdrv8vpXvsqD+w+YjUYczRcXmA6fdNm/ePa9vyxjXh8aM17nPMZaalM3bAR55onCMmJg2QzOVqSX53H++gIT4XzROvAsMPSxcflnuPYl8BNYAo9KEUtJOZ9z78MP+OEPvs/B3j6j+eLcR+e5QEmautQCYhlY7bRZHazy6suvcvX11+msrVNXFY032eNw9+z/zaVfyEr2c6UJ1hEStWQRPlEnomEpqCWjoGEVNOfuvceYgBMB6QWiu0IrzriedbBlgckX3HzwgP39PY6Hp7x/eHzON3lWs/q4tnaxnh63ycfXKZbXSAjUVcHUWT569x2O9vfo9vts7+zS6nZIsww3m3Dv9m0qY56LMTg8OV6y0zyFaaSW4SlA87O08zNQIzQoGyCIpKCrNeubm3S7HQYrK2xubNHudumtrNDf2EKnGTJrY4DgLF6I5p4IcMYTPOcgChf+NOzMix9cfNnIec/kZs32Z7+/AJ2cjzficRMTSzaeOvMja9hsZ2CmNTW2tlR5gY5TolgRhKK1s8tukvG3/s7f4XQ8ZjSdcPfePebFUvr8FKOkOfyTLJun/QSLouD48JDvffuPuPnSy+xcvsLm1g5RnKJUc+/OrluKCyblYjluC/DubJ8NswZxgS31uCrP+4ZmyaC6gPedyeJc8FhrOdjbaxYgvGexWDz26Pv45vGJ5ZdhG13Yyfm+zu7nZ01ocXFba8x5PX38IZ99xRevJyyfiQBpkpCmKeubW2xsNgkNVjY2aPd6xGlKfZZxcXne53fuIguMc04c3nke3LnDwcOHTE5PMUsZ//P7Pi4ley/eYPfGDdZ2dqiqqrmf4uxIT1zYx+7nbEMpPnu20qdLxwwa82EhSWJHGSKqEJGU2wQVUesCJWOEdCgpWEhFRItLIaGKCjJh6QTPgRyjgkKGxsFbBrf04klQBDyOEGs2djf48q+9zvf+2XdxtiRatZixhqhGdMaMtccVkqpSxLFrtEo6QedTnDCU2nHv299GjK7S7bzEWiaIoxYbZZtCNos4Ooq4LAd42capLX7tpievZgg8C3PM7GDM4Z/vMQ2tBlofBgoLcZCs2w5zP8MIhw1NxjoRPEkoiYTAqYAXBkkKaLyPmXQDpTZkt2d8OHyP/fZ99nozqkgSdVe48itturTZXkt49UtX2XvhCunpmJ8d3qfQGtfVrOQ1k0hRKoHtlUzKNpVROF+hSehpQdUbUYoO3rfon0Ld6VDGCidm9EpIDUy1xrQsIvMUGYRFSVxBy5dIXyOMauRUyuIl5DYj6RnitGKxd4IJzfg5We0iTU1ianKfExYOJSy5qim9wFQJpSqQAto+I2SBtMpI6gRlR4SgEEqjQ49Y1dhoQacKOG+YiZxMR1jpqMWcnnEgQ2OOrCrqEFMCNoTGd49AyyVIYSmSBRQKi8cJTV4npDSyxxA5rBOUVURLaJTWJCpCS4sZW/L39vjD7/45e3cPeHT3lFosEJEjriKqjsVIj1SCaKGxcUD2HPYkahiToUInjWm3rgNXt7a5vNXnKy9ss/m5F9Er68yH0DcxzjsmZcZMeJSyRF5RVn0qVWHTEpMHlPPYIGkTkyEJPiW2GoFgGk9I6h4JkqI1xbsM5SDVU+JOF61jopUWsvJ447FFIwHzxlFPVshWDCoTJP3X6M26MHKsrEZsjk55MBzzpz+9A85jROBQC+REMVhIKkD7ZrGpDIFICIKIKDdWSFxFf1wyCRFOKozQ6FNHNk+JnGbRiWi7hNTGHK9EHI/HuNlP2Bf3ibptsk6bL2y9wOrmJu21Fe6LMR+9v2D/oEslh7jYQSIZTvuI2rJBhRARpXRU0rD/5tssFobDYcmdvCLvFBS9kqwKRMbTngSsmSK9Q2AJQmFSCB2BmK6SYNgUC8wpVLWkMBqhayLnSN2cUXDEZcK6GfClqz36/Yi1lYTdW6+ystFna7sPrTXmcYt53CYUGi89lVa0qhhhA4vKYBJFHGLSImEQwEuPSwyFdyghibzA5AXSKNpofGYQyqCCJCiNEJ5o+Yw3yvAoPSIxjsQrVGSRXqCCZ6gMvo7xUjDpL6htwIsY0e5ji2bhVbd7yCKChcA+Mth2io4lrVATv3iNzdUV/t35hDsnnuFkwezA8+NpzNFCoMIpIgERNcxDpxuGZW/WI5pYpCoIQTB1LVxI6VJwkB8xPZox/D8Oef0bc669eos0GdBpadqJwDiHDm2cyxjIknkiKWPFymIbOiU2MvRnA0pdUmcLnHHEvUDccZA5ghEgHbHuk2Q1aWZwvkXi2hAiJqS0bYuuFUw6JbpydMceMRKcihkLu8D+VOKONXUUkeqySRThHPP1ACkE18wJhIPVGqwsUFiy5WJv7ktqNYOOQQpQc4lSDpTBZAZfDbAESpHi1+dYWVJYgawNBEVQPURoxk0RBEeLDitdxZX0iPZRzHicck8sCINpMyesm3mB9oq2SzitLV4KAn1UMWuev8IxmmdYJ1G+puMcMvKcZlAWMcIJZtEEgSHGEYIjdNtUiWKic7KqJq4t0kNim/372YKd1Q36Ky0Gr67wkuyz3u0yuLyDyjZRukVsBYtgcRgiWZEBOgiMlGg0UsBUj8F3SVCsiwX3fzTn+M6MB28PmR9I/KJFdnCCWuTIZTZpLRRCeYK1VALQmth2sfMFUgle+2u/zcZL60TdAcliBSsLallQSkEvSNp4jqIKEST9kBH7HmO5YCIWlGrKJLQItKhDixqLCZNPnSd9ZlDq6dcXv3/Way4GFTzFAbiw0i4AvMc6h81Suqtr3HrxFh/cvnueVeu5i2isgE/v38MZQ9Tt8rWvfI0kblLSG++XwbuivbZBb32D7d0rzCZjyjxnMR1zcO8e4+EpOMu8qpdAyyc4jvPzE/2LIJG8kMXLO8diMmY+HnN6sA9AnLUYz2ek/T5J6wVuvfQymxvr7N2/x8F03qyOP0d09JctJXkekOtpEMI6jw8C59wyoDgLqpbbeBBLo6Bz/5ifY8OFn3/39KU9Ad58egD47Gtp7pFSGmkti9MTPnrrR7z1wx8xywu8EGjV8Jmet2oFDVuqozVbq5tcvnqDX/vGb5NevYaTmsl40lzvuUfPeazUhGXLThIuRtCPzxYhZPMP+fhbccFzRzaSKSHluTwpePDWYZashoBEJ210u8fO9mVi4ZGmJtzY5947P+P+vTvcH46orFtmr/zlmAJNVz9jeiyBXdF40FRVwcN7d5BLFtPG5hadXp9Wu0U5HnEyGlEvs6R82v6n08cpR5U+M3IX5/X4WfuHWDKjpGCZOU/RiWM2spSb166zsbXJztXLrF++TtzuIFsdah1hnaeqKuqqgCWYLbVGCkGQTXbAEDxNtscLhvFPMDOexdG5IDcVAnw4ZwWdffZ4fF4CXBeYQfIcIFZPbFMuSqoiJ1/M6ayukbZAyJJ2p0P7UsZv/vY3Odp/xP7+HtPRkNoYamsen+8zxv8n63p575XCGsOsqvjRG39OXuTM85x2Z0C7kyF1tMyQeOEehDPs7THw+hikEI9VWGcMtvO+0wC4Ddv1MTvzvE5opCN1XVPkOffv3Gm8jarm/fMyif6qmapniyHn0kT/fGyhJ/ax3M/58/YZz/CLx/s4lvP5fpbPWKU1/X6fwWCFmy+/zO7Vq3T6fXSWUhmDtfZxNssL+3n6eIQmIQFAXVY8vHuXux9+SDGff0bJXjO+xGnCjVu32NjZpTsYMBqNl8+hnzdIf+b5POPzz2Iu/6zS9j1A4EUg8zUeTS0EUbGBSQt8nBNLB9IihWAhISNhE82d6Iie96w6wXtigSAiJUX5LoocmOLpNj6UXmClYrC2xq90U978l29TKovulJhJBJFF9HMmFnCKYAUhkQitIcqQfoQXDpNKjn7wBj4/Rd9Y5csv99hQGat1n6HM8crT1Y6VNEUmHexmiy+9FmFdgQiGxcEjjt97wE9+cgp1j9J7/NQwdx4dFAObgdwnlxZL+v9j70+CLcny9D7sdwaf7vzmeDHnXJlV3VXV3WzA0AAbJETISEAyiKTMZDLJZFqIXMi0knEnbbTgQnttZNhIOxpAGU0gRAAk0ESju9HoQldV15BZGTnE/OLNd/TpjFr4ey9eREZERmZlNQBKxywz7rvX/fjx48fdz/873/f9cU4jvUNhSXKF0I6Wlii3kLKHJqUeSqzyJPsNR4/uYgnc1Qs8gcHaFkG8w3pvh55OeO+7E95+4wrtg31+/MOPWWyMCH3F7WWNlSlRQRw2LN06SzsgsuCKL+jLSCiOqEVKcD2GIjIrerS9hGhm5E2k5wX7WYbNgH6gGXgS0ZIGy8R3/iZEycqtEUWglYE6aooceiPL6eNTXMwIImM17NNfRTJjaFiRloHUeJZZJ2EJVmBlRS5iZ6KbQ+JTMqMR7hATBV5otOgTpSOohqISrHCUsmRTFTTS0oqSYZNiQvdblBYXPXWMeCKx4wDT8xKnWppkSSh7EANRp1RtBsHRc56w7s4SeSQUOiElo0+ftFmy2Dvm+E/v8ft/+GNOjhZk85R8zZBoSahT2kFLSANkULiUmETkwOCONYSAQKATz0DAtjB8/+1b3Hz3Nu//lW/hbu3SyJzy1LKLxsmcQ2PxaUsqHRsxp7FjTGwRwxLXeAyCICp65EhyVAxIm9EKy/Fgn4nNUVGzyEr0ahMdFHnyBJVrZAoqy/Aq4l3Ays5DhwZcNcRtLBDrCeLGm6yV2/RXCVeu9rh5/3Me3n3AT+88wDUeB5wiWK80w6Wizeg8rWKgAVIiKKg3hmSHhsGqYRVHICVRavQCsjYj833mA0VWpQxtwsGoYHmwR3N8xHQeIRekeULWO+HWG1fZvLnJh7rh3p0lR8d94tohIgWZaE7rARt+xbqoCMKjlMdLx9GHnzIXjlQEjsIaIg8k6x61DGQz6JVwwoIozn0mNT6V2KFElCP61Ky7CnMiWEWJSzU6MwxCYOICoUgYxzHX7FV+9+2b7LzZY/O9HvrN76OzMYkqqGSkNhBKgashqECbC8ZOEj1IlxCG3We9iIxlg1WGZWJwQeARtEJQNgblJFLkyMKB8qgGgvBIEZAEQNPqwP7glBvznF5IUdqifOe/eKgsvVaAgsXGCtmobo69Bt5IlFdomeKWLXbmWPkp6vaYfJgifA2b2wy2dvh3U8HewZTDvX1+9o8f8/lew5GoUfG0y/iZSxKR4XDgJAPfI1lOEdRYJYCM4Av6wXFi5+zNDtn7u/fRsUAGydWb32FtW9NLBS0DWt/DhYSBqqgLjc9T9NEGJp9hYslo1UcNG3RRYyMUmSeVjkq4Mz/jgJJDlK66bIT5kARFikcHRdLmZCLH+Blx1aBODOVRyzQaKlcTPvPEqcImmkEwZD6S+cjBWNHKiHWBXoz0XKTvBKdphfbd3x2gE1kIT+w1yFahqwQpwSWeNnNImRBCQiP6yPFDgra0RpAde6TXhFAQgycGjyQyrfsUXrLZO8HOc5j3uM8x9GvwgthqpIwkSAYuZ97OEUoTwhhlDdpHJiGybAsMgphZchfxKnKQQAwJMkiWWQe8dEbn0PYLbC6xccooOgobiUbQSxSpkKRCcOPqLrtv7PLWX3mT69kVejrHJEukH0HQeNuwwNLSsiaaTnZNwkIIZGfex0wf0nMpSUgZhBXVTxcc/GDJ0bTGuqLLsne4d5YACLyAJBFo5YkODGBlQt72iBakSPnW7/wOkw2DSx3pbEybQpU4ohb0A6TScawtkyBZ8wUTP6AVlqko8XLJUmS0pGTkuGhwcfWl86Sv5Sn1fHmeRXXBaHm6AZzLDc7pKZf2u5gonyEUq1VJkWasvfEOv/m9Ax48eMCdu/fPMp69fmAplWJxdMSP/rt/RJFlXL1+k5tXrrI48zaJPrCybTchBmSR0e8XjK9scfPddwnWUM3nPPj0Uw4PDrh77x7LS14c4px18BqAyDO/i04uAmehZ+xMRu//7CfM9p/w85s38f/hf4QYjNi6cZNP9o8494V51SF+ld4mX7kEj6lr6vkckB3j4QKYiBeBSEf9iC9fraZD1C8NG84NapVSKK2RojPEddZejnyew3Mi517xUqouFXaakqcp7WrJ/PF9fvBPfo9Hj/e4++QJiDMQ4Tmpz+XywsANaFrD1c2r/M/+2r/L+7/710jHa8yNY/9gnxACg9GkYzHBmVyJMybLJQpMOGMjxNDJmi6AKgjBn7GeunMOwROiRwt1BpxI5ieHLKanfPrpXdau7jLZ3OT2W2+TJDlSKRKtuQDygFZqRJGRfWuL7/7ad/m11YLJf/V3+P1/+SM+ffDopdfnZeV1AvVzeZ8QnbTvXEa5t7eHeLL3FHgQrwfICiGeyQB4HoS/yjPnYruXfC+EIFcJu+Mx717Z5vrN26xf2WXnjTfItneJaUrQGmMdzdn1kt4jhaTf7yP6fWzbsprPmR4cIBPNcH2DYjA6Y4e6pywnIYjIp4ygM17ZJdgeScT7QIjnY6MLJ0TskiUQO9N14zrjaO8c3hhCOAMkne/Yms4Rmpa2LHn88CEP7n3OYjalaRrGG5sMR2O2d3YuAKA8SemlGts21NZhQ8faujxkX9THzwf4MXTZEZGSECO/+MlP+OTnH/Knf/DPuLJ7nc3tHW68dZvRZEJvMKCfpeRp1o3XELBNx3iRSqF0glCK4AMhOIL3VI3BWYO3FttUNMbSWgs+0DYNpqmpyxrbNti2Zr4qWa6WLBZzTk5OUTGSCkGWJXDGBPtGGE9ft1wa/1IJlBIXmRm/bvk6IFoI4WJRRgA7u7tsbm7y9nvfYufGdfrDISrLMdZivadarThzBkRdSJJf3n8xBJI8xxrDn/7hH/Dw889ZTqdfSbIH4M+y7F27eZM33/uApm2Zz+eXsuz9qytH4zk9D+teMndjCnHMWN7n3kSzFVN2reY4O2IZU6qYkar7tLJgJgf05QlplEQSrpFTiT4lQwZhj0xEctlH6AOcT1i5AdpsI5UizwN/6z/5q3z4Lz/mn/29n1HX66AbBKek+yl9E1jvrXhw7SreePTRCct1j/CS4qRj2R79ZI/9n/598v/T7/Ctm9e4kQwYCYeJFcGc8pnLiQKK1DHKNxBCcaIOud37C7x7/S/wb/+l3+Xkh3B8dJ+Pp/8v/sVPpyxnjsdti70FNubU99cBiRItBQv8+fs7wLI4pBAJt6sxx0fQKMmCBeHNhJ7MeOPjm+wlB9TzQz76r/9v7P/it7jy3lvM1a8x+2BAnd4iv/+H5G1LUyoeZRlDmbIpoKFhHmsMgaJYsmgtCyfhJMcaj4g1fjRks91HVytEu0YTVtSxZaOuOXm8hlE5cbhHSFvsSBLJ0RNHUjhGd09xQtMqBVfuEcqAfxixRYFxa4Sqx+aDfcq0x4kek/dO2XSBsYF79MjtAZn7IVvVd4kobCEhtJxkcxa6xsXIdptzpZ1QJ6ekraBfrrHKPFGsyFkSVxKTRMosRfvbLNWK43jCTbNLRGJlw5W+p/WChUxI8CRNRtruEJIlkhTlh1i7ICjDKjWUMSKSgmRtglNzxPKE8NkR/+K/OuXPHn7Of/f4j7GpIzGRrHKMWoFR0CaQrTJ84jHBMGy2IQpKO6PeWUKQpH4Ns2rZfXub//3/9nf4jb/8vyD2x/xifsDd5UNa4Sl2+hxurJOGnFv7EzRHhDRQrvUpTocMvWQzv0IlPMEZen7OSms0kc1mxWEmaYRg3a7jixobI6OTAbpJAUEpE7LHn8J8xerI8GD7TdrJBm9f75NkkkEh2SwyaDehiri8xW4JymuK4bt/ne+Fmt+YHjO8eY1/+P/+fX7y888oH2TMzQZTkZOwhx1aQhYg9pDilEQfs5SR+VpA55r3n2xQ+X1KUVK9cxP7BORp5P04Zrp7xKNihv4spd9CIfq0bSAaYAl/yEf880cfI4RgWSUEn4JQyF1J0vbQyx4xmxJMwtJtc5SmCFGR0DGHKjVhkYwJqyWbXrJjEj5pG4LrgsbDUcSJCCFSrCYIZSBbkqXH1G3kwaOcG2ELqVfU6RG/9WbCu2u7fG/zHUa7OwzWJ6xtb5K89S1kkSATx2MrIThyeUqvvsFaDIh8QbOxTRtXNM0pD4/3kFqQbaaM/AYWeFxU7MhtciEZOo8OKbEPxa6Hk0hsBdKNqEcCKwMqUyRzj/SBMk1I6UNi6GX7rEYJxml6BrLQx8WIC5Yn4QDvWtT9in5znSSm8PgTkkYg6prlH3zGP/1Hf8DDh09YSs933rvB9e0byJ2/xmHxI4RuSeI2shc5JfB7V97iYO9PCPUerSlQBkQrqOuMiZAMZWTSXxHaDazY4uTa5xh7RGgV5eE668sBW3LIqRzxR//wI/7ln/yUX//dLd7Z/TZXN96kd+1bqNEpum84HUT6oc+4luwPV9Rlizu1eP2QxGQky3VOZMP0tCRWDWkeWTVQNhCrghBrfDxlqj9j3beMneHDkLJhW7brlsU/mfBJcsovsn1+/gc/wEuH7kl+5+YVilAj5oLtzzOWEvZT2Ly7wWpSMt2cstO2rGTk/iDwZtlSxQmP2OJt7pF7S79x+EVOzDxxs2ZzT9A6xdzmpO4hNmaUcUTypIsDAZp6ncGq5cp0nwfJDlli2S1OuFcvsVlOdXWDe/cnzKtDOH0I+1fxPlKFJdd3l4Blb+7YEIHgDY/qJ4TdFm8Vs/vrDJgiY2Tp+jRiDWUC+eGMxoD0jn5VXSSPSoTALhyx0qSl4Undh6DIgL/+m7/BW+/c4tZvfQs7UcQc0r6jMi2Vt0zsgLvJA5ZJQy43sK1D+4jwCSdZSZSKN9rrHVsMyyOfEoWB0PDz/Sf84OEnPNg7JYodNq4ekfaX7B0Jhj6SScFiV7K17xnMPGWM1GmKUYI6P+D7/953ePe332V3V9FSsOdgMIgoFUlVYOUqHsuGE5lx1W2wiHA/QOZbMgI7KPpRsxA1C32CJ7BOwdqvIvveq319npp9v2zOfCFDeLrLMyv+0K2KuxCprGPn1m28lCyrmuPTKSGGZ4Kdl5WLX2MgWs/9X3yEa1pGwxFKSRSdlKEjC5xF/KFjRTgCUSiQinQ0Yvettxjv7LBx9Srzk1NWiwWnR4fMVkusc8+kST8HG4hP5SSv085ztky1XLD/4D7/9B/9A9rZjNV8fikoekkdzwV+30QQ9XVX/8+ldJFuFV3nOVleELwmRi7AwBjiGVW7YzicZ2s7NzU+47WcATbxglF1DkgRIqZtKVcLXIxkWUrR652lH38OhjhjuIgz3ZMk4q2lnp3yYO8Jp0dH7D9+yP1791muVmdD8eW5ll51D3jvubK5xdWbt7n6wXd4cnjA7NNP+fTzu0znM5CKycYmvV6/AybPAV06MOlphvKI9+6sr/xZljKPNZbWdIG5ta5j8AUPIaCkOgMmIqv5KeVqxcnpjOLJI3rDIQcPH5ClOTpJyPKMNMtJk4xer0AXOTrNSPOcRiukaehvbpP1eiilcJcyJ16+1i/qgy+T/zwdJ1+s65zNc7HPCz69qN5njOAvMaO+rB2vai90ctQrV6/x7ttv8dvf+x7ZaELS66OGQ1ohCMYQ6obWGoL3eO/wtvOl88ZRLucs5zMOnzxhPpui04zR5hYbG5skiUZILsyrOyZbB1JGwVmGpw7Q75hxAhkjxnbZw3zwTwP2EDoQIIRubJ954wXv8WfbW+cJznWApvdE5/DGsljMWcxmtG3TAV6nJ5SrJcv5jCg6lpxWmlQrgnecLrrn3tmFu5Csft2+9t4xm55ireXk+Ij9/UcUvYIsy+llWTdWk7Qb/63BOYtSXcIKqTXOu7NzdbStufBLCtZgnMOeZaV0zuFdB+T6M5PtpjUY09IacybvEngpEVJ0pvVngMpXLa/D2HzdeoV4mt1R6YQk8WhtvnKbvsoz/Vxmd/4+T5OEyWSN/nDI1vYO6zvbDEYj1jY3yIqCKAXWGsI5MHvGbBJEohQvzR57/r1SGuc8ZVlxdHhI2zQXCzav216pFLu7u1y7fZvd69dpz8b95XN/FQD9/PffNAjpbIaMnix6FumMtQijsE6ernAmY94OkbKHkBEvAoIKFQNJNEzjgBgFWezGZEIgE4YoSlzMaRiSuw1E1FQi51TXDEhZ8ymT7QFv3dxEvHuV339wSqMakjoybDuJylIpstMF0XqiaUBDKiIT71gKjfYtuT3iwX/zL1HfnrH5b6+h0h5ZKEjtOpHOazExHifAK0Eh+hgxRyWKvugj3rUU165wc/U3Ka6WlLMpy4M7fHi0ICwDa8xhKEAEmjrF9jxeQ7JMsLXE24Q6JoRo0cEzjJbFXBAQ7IcVzjZob0is5/j+EfMVGLPCFlOq1ZSTVU7jElxUgECMU3QWoa4YeAkq0owMmYckamSmmU0ltomo5oi2qKkKj9MVeRNJrKbUgsIbMu85KnP6rSPTAdPvMtDFVcJKR+yZhF6vJKGOtG1kUKSdsXCUlDGldQlEzSRaYiiYhQJlSmRcQybXWZvcpPI1pi3pk+JcinEaEwxaeIRYgCxosshKeCZRg1A0ok8uU0QvoAcOpZcUQbAWNil6DavGMa88o+M+qRJsqID1faLyqEELSUaUCUFoFGtkwTEKhtx5okvAtOwvH/DJg4c8/vEdFh/W7M1WtKucpDDgBDUpUhoSApvWYQGCQoYxRtQE50iPawoCNirKkPCbN9b59Q/eYvK93+Zgbji4c4/f+4Mfsje9ixrBrd+6jtjZIGfE+tEVbPIIlznMyZDxDEwQ/HwgMc2K6BqUryjYIAuRYPf4uIwsKygOBKJ4hMDB7AY1CT4EdD1jPj+gaZa4tuF4+Alx1OPojTXGOz3GvR7e7RCSMSQ56UBQt45QREbyhGUMpHVDujvG9RLqGCFAiKG7t9eHxCyADtitJfN5TtlkhENN4efkvmWmp1SyoVUBTufd+y8LHK7WKVOHEY71AC4bMOsV2MzSrxuKxnCix/SNpectZWwQ0iGkIjkckVpPYlY0piXkgaYHQ1Vjao0pR8RYE7wGL9m5UtPvGcCjmgRpQpe0iEjMBbKQjCpLIy0m8ThXkClHkbWcpDltcKQx481v/xofvP0Wv/7Or1ElA0SeEUYFVdYCBixMrUd7j/KOB+Ez8JqkzVjqP2X/ZMFHH5+g799FTwrS777B1fGSvoS+L7nPNlkIbPgpCzsi6kC7t6L0K0KUNHGIfdBJVL20JCc1bVQcTAaoKPExUlnL1cNjVGOZu0g41ljpme/O8A89tmpYcYKIPVQU5LLuGFsmUE4XPHowY7GwlE7xYX7M41nDvU8EdjQlppbU94mJoI6ek+MFZmqhHRCF62RjUbJF1t0D0TFJKhbC0wrBMAVVRtoysMTTxgwtFOzOcLUhLDzHP9pn+cDz8+FDxvLnhF6EXmC0G7ip1tlQI+5uasTRnDirORpcYzcG1n3g57Mhys1RfsHCC6QtUa4hc31WomUpa5bDBUV05N4zKwt63tGzDnO3YIFlJhtGtQefo1cDJsMB9coydpali6yEpgkpUxfwtUDNEmZhQJO0hHzFqYh4ZxB2waHNCVYRa4dqNYmDzFlqqQnkZHHAQBxhoiXEBZl3hCxiC4H2FcF7Fihc5onac5JE4nVDb61lZ2aROylHJqO9mxJFjdeBGB1125FFogi4KuJVwAwNqhJIK1CJJSAJSiAKjaxbdHAUraWfeUJQrJoJMmkQwncYQCNJBVyzDv39qxRbE26MM6699xb9rW3SjT6NVBgCTbPACYcWoKLp/AKJTFyFjykBzUJH2ujQQSCjokZQCckobmCDYlFW3PtRhT9dMIpTXEzxbUKr1pi4JcSIDZHsyKEbgeIsUW6MpHnC9/7ie1z/1nusbdxkLRTUoqTB0MQRxJYsVKjoaPHUwiJCjyR6UhxHyhGVA+kQfkwSMwoyUqfpRUUSvshUf758bVDqpfT/ZxhS3T/x2T8vPl/4tVz68RyU8CFQtp7NK9cIEVazOfPFEmO++mRcAnuff0aMkZ1bt7iyvonSCmcdUpwHs2fSDh8JHhzdarzOMtavXWMjRq7fusX88IjZ8TH37mjC3mPKuqK1XVrzS+oS4lmg/LIw4NkMdGftlBLbNEzrmj85PqZXFB1QIb/8Qn6xzn91rKnLZu9K6zMqKMQoOsnZmR7nTLnUAVNnWNO5/885rCDOQcsz5og8G3fBGUxZcnJ0TOM9k/U1in6/k0edN+R8LAqBkk8BoGha2nLF9PCAX/zoRzzZe8KDRw8xziGERJ4Z1H+Vc5WX2ABra2usbW2Rbm7zkz/6Q+5+9gk/+dM/pbIOlWWsbWwyXlsjTVOEkkg6OZ4S6sIfhxjxtgMQYggE0+Kdpa4rqrruACnncecmw8Ej1ZlzjveUVdVllaQbj1pr9u7doyh6pGlG3svoD8f0ij7r62vkwyE6z0nSlBSJIoDOQCUoKbEhPDOWfxn/su6SfHGcPiPve0p3eq2x/Dww1RFMXg6gPQ9sP9+e899jjKxtbrH7xlu88Ru/SRmg9Z7SGMr5nGBaaFuMczjvcM7Q1DW2aWlWJUf7e5wcH/H4/n1WqxU6yxmtb3L12lWyPEcmCSJ4gnW4xtA427GgBCghu9UfKRCyyxQoIzSmwgePC57O9D6CDxA7EMq1DXV7BkqFgPfdOHLOn32O+Of69LLMuK5KqnLFbHr60v5+2XPp1YsWX7wW59s0dUVdVcAB3KNbOJCSPMvJ0rTLmBoCzhi8dSil0GmKUrrzLAr+gi0ZwrmMr/NRe/5cX1bOM2tGpTo2pYpoKTsA7ozJ+E08V79KHeLseXhu5K6UJk1TWv2NkJxfWuKlf7VSjIZDrt24wdb2Dm+++x799Qk6TQkx0rTNWSY934GnF6zP8/56MQB9uWitqZuG5XLB7PQUZ7rkDF+lKKW4euMmu9evs76zw3yx6O4Z+TRRyeuCp8+39Zu47t7ps0WRQKVn9P0A4SbkGELosbAT+lqAronJCtCoCGlwlGKEijCMnig8ikiCoVUtNiZ4nzDw6wQUQmqWakoaIplLycZ9rl3dYOeDm/yoOSRULaqJDJzDRM1UJxSzRQfchogSCamM9KWjRJEIy5ooefL7M8LKsfn9X+PN9YIROX3fI5GBSEC4yImoiUGQU2A4BRSJ2MBcF8i4wY59h7fePcXMH/P4bs3hf/sINSsZ5zV+4GiQHNkckzcgItksw9UZISSUIsNTkxAZB0ezkJQRDuKSvrMUBJSULA5nlIctDz/ZQ9w+Ad0SyxxIEEIShKLMUlQeyaeaAYIkibQ9T4GlEAGSlFUlsMYT22OaIdQFVLLhitNkXlNqzRqGzLcc2x6FhYE2nIw9sdT4WrFScL5Kp6sUb1tMDIzSTnpkXWDPpwivSENkEB0LoVmKPok1EIZEuU0vX6cxM4xpWZMZaeiAwygjSINTNZ4+q8RTpp7NViLIcPRQWlKkoAuPN4/RZsTEbKHEJzSm5Pi0ZRBvM+5rxmuSlc8IuSEWNUplBKUIiUDoPkkb6ZWWfNFgS0O9mHK4f5ef/+IOf/jP/ozxocDZAsEIpVbEIGlFQdSRUbRsG0sJKJcyMCPuJXOsb8jnLUMkDYK5ELy3vcFb13aJGze488dPuPPDe/z3/8UfsJjeZXAlgTgj7K6TiTWWs4Zl7z4uNcRiyO1FRSDyi0lGbKcI16C8Y9ffpAhw6D7jZ8cN89PA4OOMbPgzpGgxp7/GcRpxzrPxuOLD+oRpqMizGps0qEJwfHuT7TfW2JyMkfE2cXId0Z8wGGec9krapGZAxQBFHgV5KlipSCU7ywSBR8qAG/YgSgQB1hesqh5xMYKThH5s6YuGw3RGm1i8hny+JEqD14GTxRCSgI6RQQycZJp5r4dKO1+ygQsc6j5pqBkGz7wIeGER0ZEdrpOxIGWBDQI7NoTNwIazRDemcj1iNBAEmsD6RoMSDu8iWZ0jbWfnEAnIVJAOJAPlENKxkh7vUoSKZJnjUElim5A2BTvX32bn/ffZ/K3v8GgGrRBUOmJmnxIaR6wV+9aTtoJQCe4mj0hMweZilyP/J9y9N+cH/8xQfPIj1JUhyjmu3Zyzm0XeFSX3fUniDbV5zMquEV0gtVPMoMZrRZADOM47X9CiIjtcMFcpP796lRgNsVGEkyHy3iNEWfJpbKjvOYyyNL+2IvuRxM5anqR7VFkDwjOxAkOGCxrTpKSZRYiEpsy5d1giZkvS2TFmYohpIGkFVnVxYhEVdrYG7QDyGTEKFJJJojhwklpIrJ4zEzWNhA0SZOtRlWBGoKJTF4w3FnAi8QvB9JM5070ZVQrrJ9DoBJdr8lst30l2uJ6u8/HtQPFwhjpo+BeT7/Nuu+JGXfODhzfIkilJMuPhXDKOh4w5pi8STpXkJIFqswEiIgqyWY7wndVIVJDbjL7L2RwlCDNCmg2KeUavXtBzjmM8bZQEq1jiUCaiVxnzOCKKEqkapkVAtYY0rJiaHOkliYXEalITGbaC/SwBkZPRpxAnKGFpoieJEafA9EFXFVFKFiTEzGGU51Qo1FYgHwTWloHemiBZKJ64BJOXOBkQEur2zFokQtuAz8H2AnKaIa0gy1pC0IRUoUaCJDSkraNoI0Xf06KZNkNSJZDKdiqGVlIIwc1hyvC3brD+rat850qfcn0X9AC7hLbVNC7grIfck8tIN7okIiom3hBiSiM0j1UkRI0MAg/UCFoSJmLEgTecriKPfrpEzWqG1LSsqNsrxNhn3TqWwmGiJz3x3YKnBBElSmmyXsFv/OUPSLZuoPub9MsCpUuUNKxiQEdDEmqKqHAi0GKJsSLFAi0nqiGVkkJqrFtDxE5o2HM5aQQRXiOWi6852/qP/9P/Q7fDObPjfBInzvlRL2FBveCzuHTECE8BgOfkVt3GikwLCh35we/9Y57sPeHx/gH6bFL+8uZfgsJEl5kryXN6a+v81b/5t9ja2qKf5lTljBD9M55Pl5v71JhVIJQkS1KUECTA4uCA2fExn336CQd7T1isVkzLM82keI75cuk0L47xDCh1KWg+69Nu1fnFbJSXla8LSr0sSH+d8qL9Qghsb22ys73FxvYOrQ80LjAsekjZSVC66xIIPlBVq06GRkQKeRb0CmSSdGCLVKjz74DVkyccn5ywd3iIi4Gt3avceuc9br9xG50kIAVZmiKjQITAqiwxVUWzWvDo7udMT085PDqkcV0mByEveV5d6rqvssJ+DmKMxmO0VBAcq7q+AAO6IKtDTJ7eP6/o50vj4pnjXRqTF6yiCOFSKCmlvAB4z/fz3j8D1HW/P3tPPw88+RgupJYvA6J/GXDqtczjv6TvvyAbfg3w4FWg1PP7ZllGnuUMen3SLOvGihQ4Y3DWYtuG1lj8mcTJef+ssXPsGEziDOwM5xK2y/126Vq/CMR/pj+6hr7i7J7WIM4BX3ga5J+xyS6N+Kfnfum4L2M5Pc96eR0g6pnWPdfv3ZA+v3bdqUWejvPzPny62HHpnnwOaDjPSicuxGPigiH5qpZdgA+hS5m+NR7hQsBYR23tmZDyqzF3volyAfBEwXA85vrtW1jTspjPefTgAUqpb+Q48HRIiY6ch1IK7wNbu7v8zf/wP2Jrd5ckTSnL6oytd+HW3y00vOCU4+V74Ll7qxtv3bNqPJrwwz/+Y+7eucPdOx93jOPzwfCl7Y4U/T6T9Q3+vf/J/7RjO4cOoH1mrPDF6/IqsOxye8///bt/+29/aXteVv5X/8V/RhG2KfwmNu6D7DzLMnGNsVWMreR+gDpfYvI5t4IljQIVBLMwoYdhICruyzUiChUlJnuMpEFHi2pv03c9xi7nIDckVtJvFXuTOX1h2bEtP/ijf86dzz/jzz76iHcPBTaBw3GkGQhErUhOEq7YKzS9moPNA5LjjCQEUt3SmJyYbyO2vs3/8j/9PrevbLHNOkfiExAtA6EI9k0skUodMggepKfJG0x9BRUS+sIjRydo1VKEgL9TYk5WzI72+eQf/oS7T0p+vx2QFRVKeUQU1HVBCBlKDEmyIwpRcaVteXxTUGlJupdi7SbBa4I/ISLRfcXkg5zF5xYxt9wKM4QAJyVP0hSkIImBnbrh6JqgLCTJXsKOtWQx8ijNaDcdLvNw5OhVoFrJLA7JU49WkrrdJk3mqKyk2Q0kU4FeSmhThjRkwnCUZd08RwjqcR9RlMisgiAonCBxktPTNbZ8xZqvOaks1UjSDDQcXOW7f3WH7/07W3yw3ePJfJv9+Trf3dhnKR3TCK0fM5IVQ7nkeCXwqkfUPRBH4C0iRLb1OyxMj5M2ZTL8lEmyzpq4wvL3/nt+/OAB//ThA+xuj7c/uM5v/4X3+fbou3ilWCpHv12jp1t62YwfiRnFQnHtIGP64ed8cv8xf/TxJ8j6AJEaGAUetrfx1qGbE8z1QFp5Bo8sp70RvRi43lbci+tk5NySGXt+RpXVVOsl+SonSmh6ht9lyDAoauu5IxSt9fRXJQkRqxUn/by7t0MCzRDyJUJ2cmsVI14HqkFLtkpRrnvvSSQiKGRTYNOSIFznbYon6EDbc4TZBB0V67snTE3AWEG+TLmSSRIJj02ksBaJZzaWjKttEpdTFzPMxOB0JD4ckK5VqJ7BBHDK4Z0k3NvgetKjLxW/aI6JQpClkvc/GOAfSZqTyJPsiHVn6LnAk7hJyDSxULS3IN8rSY4MC3GdLO6jOaVih7BeoiYV7w0EzX5CdaiZFxGrDT719HZv41SLDQ3xow20WKDVktZcJW7PYOuU+IsBmojWHoi4NY9b9/Bxj3Vv2ZYG77eYRc2REMRre2w0nt25pBptdwzLcs6h38BkLa6/YLSQWDmiSTf5dQ4Ib/RY/tY2V08StjLF9YmmflBR1UtmzTF//OkmtcmQKJLsgIDExT6pmBGDwzvYrrdwynNaTLtYQHTKh0DHRpQEwppBG0/vMFIVGf5i3i3QXtM3PWw4xipPUxQ0TULqFVeFYKYbjOg8jLt8K5GoIpPKkHqPEJH9N8DlsDYPuEKiE8G2hpUAU+fw6U2kjHhpmOkD6qTGI5HLXcStU8QgwOIW4WhBrFq6+foYUUjU+w9xd4ckp5q31DHHWrOUOc5eQ6tjlFwRzmYjKmomdpvZxhHlcI7UsH0Ew5WkvdpjtQrUpSdtKmKaQ5LiFSRNQWILgizwek6US8aVYT4MlL3IzSMBZ4t5qzPFSBRwNI5kLeQGyrc0yWkgPQ1U306YGMX6SuEOIqWU1Lnk7b/sme3BwSdQrddsloIrM8EyRhbrY+Y7G2x88oDgh1i5ydyfAAlS9NmND2jWHNMrEj67jQ4tSXKKb6/gdIktDriyBBNGzNkhy/fxuqFJWnqmh4xP/XZ96GPtFkJKtj/Y5rv/8++w9eFdDu7u8Uc//ohJaEj7EX1FcP/I4xpF5nNMv493CcwTxFZCmtRMwmNmp7fQJrDNY07TFBkLtsw2x9khNtaopmEldtAkXBUVGsGV9zb4G//nv0q4+iZCDVGHCZXLaGhZ5vdZMxN00FQ0yNyQisBmqXisIystkEkf5R0qBHKjWWGx0pAnM3arCT0yTrYbfvrZHe5+/JAP//afQd1DeEXIpyAEISbYZhudTBFJQ9tbB3WKUDVRXePdfI3bG+t85z/5PnVqMEKQNR+QIslEZKJKFnLOSpS0pPiQQ9DclMf0vUIFzQ8TQxIT0qjB5yRyiVIl1o8YRhhG+M/+1/+XV86TvjJT6vzzM8GHeMpwEt19fBH4vCgSOFs46j7HyIWN8jMR8RmJJgZckLRRcvOdd0nynLY1zJfLzrn/dVavz7bzzlHNpnz685+wvHqNm7feIE0UmjPT4bPGiUv7PVNzCDjviKLzRElGY8Zpxtu9gis3blAuVxwdHnJyfERVlqzKkiC4EIJdSPsuqv9iu+MZEn3BunqNIO+XAQW+iXpetF+MkVRAISLTvT0WTcuyNWRJchF8cs4ACBFr24sgpVttPxtnUl0EKJeBE7NcUtc1rTEEIrOTE0L4BbPDgwtZXHKWhl6EQGM6rxnXtiymU5q2obFnXk1nA/JFo+hVQMeLrp8QgqauAQje4cNZaHwGEgEdiw6ekXnCC2+VF/f15RvofE/RMQKf1vRqMA3OA/9L2zyLxl2qWnwhBf2vYsy97D7+OtKwX+a+eR6INGfSrqauO/P0s/EQzphIwXv8GYAcLgey56wseIb1cS5PFZcAlctPmi9r+Tmo+CVbXHx8Gcj0ohH/om1fFci/6ruXtu4l+z/9+gV9cfm5/Irrfn5jXSwknH/5kvv7cjn3L9NSUqRJJ3f0/uI+fXWff/F8nqn3a5YYYzeOxFmmwEtAyzdRzlsmzwBuKQVKSbRS5HlB1bbkRcFoYx2UxJ7Jhc8fm+dsqHPg70XMx8vl2X4JpGlKjJEH9+7y5NFDTo4On27zGsAydCDpYDhkfXOTJE1pTfsMIHW+7cuYUpd/e9Uz6JcFGhE5uLUAAQAASURBVHW5Q6IzUm1oY4qUJVLWWF+ykhKfwsgnIC0WyP2YBIvAMEbRSsGBjOTS473G+gQZh+Tk9IJjFVOCkATlMXKJSwGliM5jlGWe1Ky9c4urPclUG2a/f9h5ri1gHAzBdQwGmc0BgV9OSLzBBYl1KSNv8CxZndzlz36+SVVFhjf71L0MJyNVbCk4RcaAlitWYYCICdonCF0To8GFhNplRDRaSOR2jhwNSHb6rGUZclozmEnmjw6ZTefcOzomSSxeCsKwhSbgnWCmNcg+idBYC0IYlG6RyuNcSrCK6okhpC3JxJNOh/jCEFVA+EhiHUoGpttgvURVkv7EIaY5rpGE4JClIGsl41ZgosIpSc+24PsEmcLmjNgaiFA4Ry/JSHoJx03Cqmhp8ojQgrwOpCaQL0tqYTAahmnE+0jtIroVNCHjVAjMzhKvuwULnVQMjWDjuM9yb8r+k2M+P7ScjhpaEamBph1R6IZC11QmEkUCMkEmc6KP4CRbYY9VyJnFlDw7Jc1SsrSHv/OI6emUYlGyin2e+Ck/WvyEveyQICUtAdlO0LomKaYce4+qU3rzPm76mJP5nGk9J8QG5SGtNPiSAscosxyKzqi9pE9cczgfmE01MVp8GpgPKqpVTQyW8UpQmx6IwDC03B/UKJ9gZjnHMnbPP93Zblg01SpB6xYSh5sYaFu0CQxbWG0IrI6YpSFddabREsjWBFEoyirgBh4hAulhi9caHzTeDxkYg6amXgm8yohRYU3BUrZo6YkeMpuhosIsEmSo0WpFOWrw0hOCJA4UqfaIaGgEqEahWonSLavC0iiglqShJfcBaVMWIWcpNW4ypCxX2MbSioiUBukE8XCCbxpE4gnqEKsqggSvSqJqofEcKUFORq+X4bKUOpQ0rsWUkjRxFFQ0IeC1wSSGoj3BVxZ3qrG+T0JNn5pSa/IqQ/mUeZZSJTXHiSc9WiG1ZCMV+GUA0+PIjwiVIFOR3hCSuiTISHQJnSrW0jNTnvgcd+JpPn2MO844lZL9XGLnDmsNjTe0yy7QDoOaQVuhUo0fS6oT2ylRIghaonKYvkFNJ4gQQK3wI4kIoFae8dwSnWZqhuRhhcwNq3XBuC5Ig0e5GaVrIIuMB5FBlRKtZK4FK5Ph0hzWBePGQrTMi4oqdM+JtOeJ5ZhYSlq7RCaeGALNKbSACR4zcuBKdGjYcJGp0BilyYcppkkIocuO2i8SpLTMi5K4TIgmIT6Z0LOBLDXM0DRiiI8FzjUMhim93gAZ5qxWA9qmYO4NpuwhfIJM5yS5J8lhWkUa77BpJB1tElpHaG0n2fYRomMuMxJvSX2LmThsCk4KZmqdiMcHS9QtokP7kAMHIsf7DLWsyVpHTqR0AWqJWIHxFhOHWDdmfanppYbsesPDowbdnNmwbIDoNcgwxWhBmhqG6ZSm6lQCgohNR+gYWD8OTH1DEIYoIO/PcFjwmkaD8o71MMWJAW3IEVVNPxgkHaOvTRIihkTNsUVOGlrWH7QMew3zkSGKyDLpMjhLJxFeor1Et4qWhM66okKVXXbPViWE0QIrInMiroLUWCInZC6Sq5TxWBO1QSUpg/63iYv79MYpZus6IubENlKFEpWsyHFoq0EFjLKYUDOMKVlMsVISZQUCnFP0gyMNAetbgvLICGOzjtQ9mhiYneyz/+OHHPz0EdF7kC1BCWzuUO0A4TKkXiKk7RbHyxaVdDY7yIrt2zvceHdCTFTnUxkdI1ZE2XbJV+IQ6TVSZCQi7WSMMtLSzZElgsQPCbLByJJhbEl8hrI7mBRqURIov3ye9LoTqi8LRM5ZUpfBpfjcLoJnAzLgYnL7vHHrRdAeumxuLgZ2b91GK8XqdMqqqgjdbORlLX72LymJIWCqis8//BnlfEbe63FlZ7sz0b1IQ/4sEPVswNNJqvzZy1bnebdCu7MFxtKWK44ePebunTucHB8RnaPxHneGOl+ajn+hfZd/uuDBvICl88JdXsCm+jrB/tdlSn2xXkiVpJ8oxoni3uER0+WK07L+2nW++Did2blEUK1WrBYL9u7fuxhn4gK8eYFc6Ux+JF8ACrzqeF/2e4yR9jzb1JknTQe+hWe2+yq9+zLQ7wVbvvL3czbgsyDYc0jw04OeV/TKdnyT5cskNH8e7XjRPXFu8tzG9ovIxiWg9Pzz5e/EpXqe2f4caH3uWM9sy2sYvD93nb4qQ+zLyvMgw+teo/NjvU559hF7Dic9/eFlz7LzfnzZ8b9KOWeJSSHQSjHIc4wxBO8om9d5OvzqytN+70zugW8UmOqq6wAprRRJokiTlGF/SJCKtCgoBoMLcNYHfwFIAV0W1Zf0/5dJZLXSGGO4+8mnHDzeYz497dhfr9nh5/fQYDRiY2vzAiQLIXQy7Oe2/arleRbmL1OS+gppryZLa+ZRo2REyQbjl6yUpJSSN3yGVZYVgsSO0LICbenLLhvfoY7cEgbnE4JX6DCgh2ccIhWaKLpMVUaVCOlBSGSV4WiZi5L+rV2uDBLa1PEnP6gpq5pgPANvu3kNEZ/NCKEHyw2EnBGDwLY5hTghUNI0j/n5h9sYI3hrtEadJVgVsMIw0TNSAllsWckRMqZMgkLo0461aYaUtqDxXRYlPUzJRgPW5Bqjt7dYay3fOzB8/s/vcv/uPofVkugjTgcWkxaOAs7DPNMkDNA+o7aGLFugz1Kpx6hwTlM9WSGv18g+MN8i5BUhsciVR/uAIHC6rtAnirQRFFccYZVjmxSYIWtFgmSrgUOtaLUgdw0mTHChgMkxciZRtSQxnoGCNNPsozGFRA4FvSjJ20DfBhJT43XEJpFBJph7aFpBZqCJCaVWZFsV0SpEoxj3DVshYWc65PDRI44/f8D9B3t8lHeMooigbHok0pFpc5ahupuFJ0WNdxJvNettjZEJVZLiVcSlDpdb8nnO0HnG0XMyzZguKpZ39/g5v+DcU7NqxgRdE4s5g5jjbUHbDMjz6Vn2MqjTiIiStE6QrMiVZ5x7jgUYFFb2SIcLggvMVhqBIxYty/WWOgiyKjJaCiqRI/H0W3g8cjjdga7OtUgloOeQEYLTuDZFKQvaEtZbwsyjIhSVpOoDOqJKSWI9ifMIJen3JEHBatUQRt3iqHxi8VIR0Qi7Rj/ukYia41UGRYEkIbqM0liUskigkAU65Ki2R5rtkxYr/CZQC6RVxPWUVCgScZaxd6FRK43UllVmsEkE1klFRU4LrmYVEqYyRQ361M7SWo9LA4lvwQfU0QZRC1x2BkqlEpcIhF4h2wg1HAK7UTLOE0LSJ7YBZyLtQtLLPUNdE2NJqwQhgV48wVYJxmQ4CpJoKJyjShRpndFbjVmtR9pewBUtg+mSIpFMegp7CquYc8yEpJ4h+pH+QJH6ihg0uAyvIXWO3J5yot7AVxU8PoSjnFMvL2VUjwgUKgrSrKUdT+mdCLJMINc9ZgbGnU/la6IOhEFATvvgHVIuCUOJcCCXgUkrMD7jQGwyiiUh8bgNRe8kIQ8B9JmsO5OMJgE5DTQ+sp9FrBnhdY7YlPROSiSB+ZqnbhKMgzBxsD+EVtNmNWnhERGqA2iJtEmg3GyIdkphDDfbHCMzpEoYDiRVmWAqhb8iGKYSrQTL9ZbQSuIiQzxZo8gWZInhNKQ4BviQE+OMrJcxWCtI3JS2KSjdgErMkFUfVfdJ0gq5I4iDQHkPWhUIaYSdDeLxHNFahi4QY40Vhlavk1tPERyrIfgIeMVMrRGxIBsyLUAEooyIYYCYgxmiF47ERlIRoIZYCvxSYKPHxZTo17hSjYlFyWR3ysm9E6SNXRbBNZCiRbUtrc7JMstgUDOzGT44EA1Nf4eijUxODTNfdz5FRNJiigwK3yRYJUhxrIcTpvJNnAfZqk7Wh8PGiEsUSIMUM+xoSCpLth6VZG87skGnLVkqSRAC0STkDhInUV4iS0nUAZ3XpHUDgEszxPUVIYssvES3kk6jMiWLQ1KZsT5UDLIVuieIu2/j9k4p1gqq3hbJ0hLbliquGKYtGYLBqs+sgFZ2AK2KPTQ5RoKUJUnsklD0QiCPnpPokDEgUaz5DVwqqXzJwcMnHP74MSc/PeiwF20IIuIyC22CCjm6OOjma0ES2w7w1lqjdMPmbs7utyYspaCIUITIJjWVnNGqmuD6iKDQMUUqjZcBIywmnJNJIA19WlnjZEkWNYkZocwWy2xJS0XbOQq+snxlY4ovyPf4IqD0he/PV+vj+SvzElPqBUHgBRMhhI6hETuvp1nt6W/s8lf+R3+d9u//PY6Oj5guy9eQ8j39TSpNPZtzb7Hg4Z2PefM73+PqrZt88J3v4F370tXZZybXZ8Gitw3eQhNBpyl6OOT6d3+d6+9/gG9qVqfH3P/0Uw72D/j4zifUzuLOZDzn3kgXDK1XHO/flCLo+jdPE/7H7+xypV8wTDX39iVBdqnZ9TcmN4nPXCopJUqpZ/st0nkuIEjOU4EL0RlLc8bE+yXCzZeBhpe9ds4lRs82/fWP+qoV/q9dLgHC8JK6/w0cf7+qcv48kpe4aC8qzwAqz/TxC7YN4QyNfzkw/Erw+ukOr/79a5Svyjj7H0K5ABBjd23evbpDsIbFYsEfLjuPEiXl0+fGn/P90QHKHcDtz5h5X6ecX81AvGCtxiiIZymYjbPd+4nOr6Do9egPBiilEZguS+25+ftzFM8vgMdwARJx+a0fO4n2YDTh8aNH7D18yA//8A+IZ8kaXufheDE/EIKtrS2u37jB1Rs3qNr6LMPj13vPfBOMqJfWvW4xscH7CqkTAjnWrzHJTqkYsYpjHooDED1yxjyqNIPMM8hLHmtLeyZBWclj1lTJDTnGGUlCJBWRVTYjCQWFHaDrGyi5YqBOQSgsQ5owhKrkVrHBb73/Vxj/xoJ7n97n888fckJO5gPbtuGEDCsChTxmvbdGZi2JmXOQaRgUjLc3WN75OR//9Gf8X//uP+Z/8x/8BW6++wbj73ybu8UpCzyJ15ikJGNG8DVJMyEPmg0f2IgbLHTL3fQTrlXbxJDyRES2hyvyTBK3r/H+fzzkW+5t/vLJdzAfGu7eOeH//l//UZeFqYiYHUM8OSGWihg14C/3NCINcG1B7zCg2siHg0dcZUI/5mxvlhweDVmVCXycYXdPcQNH9ckt8AGBIwXctsZlCQd3NlnamiZaahQhtMR2hvh0yCip6OctD8eC6sSj5y29qAgrDU1B3gyYUXBASsShygWZW+JcQ5j3YVUgsxVSRLQCIzLEWsZo0OP/eOsddtOMvnzM3fWPWBwbyjznCopkaBFrlk9Ey/pJxtZRxr2sRfoR2q+xWANp5ih3yuMRbJqU22bEnTcaKBX5cXefzSdwuh7Rj54Q2iFte40s2yP3LQNjaVgj2AHCpey812Aay+nBKRDpB8WGzVCtYaXgKOl6f+UlVZVhtwxi0MJOyxv3h7SJ5/5miTA36DeW8Z0DSm7SBHjIjDRbImRgQUHIE4ZWcFOc8mmQ1JmnvdZyfR6hURxJT9NoRFPQmw1p3ppjx5pHyS639p5QxIgtdsnkPs3Ac/fWJicPBbJ2JMkC/dgRVGC+A/E0ByTinc+Zlh7aQF2X7CwnDFxCKvY6tpUTJFjMekuTStJpxsFmJBQJ/klLf7ZO0ua02RGLUUtMID3NsO0a0fXYFYrTGHGyY56IszlAGCyJJxplIu/cfUIVPEZG+tuRurK41rE1ucN+L3KSRDgAveiTtjmZOGEsBIWQPGxTcC3OVUzkCbUe0Kg1xCzB7iiqicIe52wMPGtDx2oWuwyzIfIgt1QILBn1uCWRgkQEsllL0QpGpWZ4W3Ma17lnt0jrByTtinU7oyoymlhwOrvCWnNAJeFEQ1330EVLf90yzRS0KelhzvWmoAwJj2IOBLRuSdMVV9clbUg4OMx5kAiSlWPw4yOGoaCOmqMoaQWopWerNKzSPaIM6LKmcBrjEhZVj8Vti3Mt4dERB7cdpAVxegXme7TWciQzijd3MV7xiw+X4BP6Pcvt64fcz/cplYY4ICmX9I1jANxfF5QBytPIdVcjpeBeUtJkkn5UXBU5T7YAGdnZf0yZpmg1gN4mA1Kkjyz35myKNaRI+ewzgwunKFmSVVk3j+s1wD6zOMC7dTAZSTIlkad4Co70Caeph3SLoHKiFrCbMDw9ordqCPWEw0No5gqKdbQ5IWlWzE9bksaTREkZN3Gxy9Z9o57jVEuroTnNEXRgxLB9jNhJiesZiztXMK7BqRqZtIyKBRO75EmZUmlNrTXpMdQRmhwiBbAiT+7yne9/n2yxzfLRLv906xGzyrNoEm7daxE+YkLA5pGYJYTYySitrqG3RMgHrCZwsiPQT1KE6yYZq1WOH3nsGy39X/SRBpy0zGJDUJ68WDBF0/OCdWtI11pak7M8GSKTKemmZvBrC8ont2iPU4h3YbmDiBlIDckhMrcU6w5/XGJVTrt2ndYGeq3n6rzFCwmNR95tOIoTJIoennu3ExrZ8mTvgKv9LUZZj+HOz9m9tcNkd5dCpPh4iqRhK5VMY2SBRKc5LQYRYZ0JdTtiiaLNl7xd90lD5KNhhXQ1+ICXA66Hip50NOsz1FFCfX/G3/l//JC16pS1fsPjIhKPR4gqpYgAK2J/RXu9JTlOEE2CeuMKbloinOHd748Z3f51GH4LGz5m0+Ws+x41a1SkmFgi42OSWJCSMY0la7Ekx5KYXbRMiVIyVYahECS+x3z5LYbZMcXoI0rh0dUVsurNL50nfXNMKV4QyFxaTRXP7feigP75EOzZ4IguQ5WS+CTnrW99i/xhn+bOHYw/n5C8TgAVz+bHEe8ch48fIKVg5+o1JsMeUsou5fhzAePTtjzNEHeOtl0AbbHL8CQEkGX0Nra4oTRru1dZ29riyd5jZrM5Rycn+Nh5l5xnKXqmhb/EpPirTKovgx2/7DHPj9vr5WyvrfE7f/EvMsk03hnqn969yNb1qwzmvlD3JQbeuTTnXMp5ztR7EQvjdeRJX1Vq9jrl+Wv3qrq+jLHydfb9prb/psu/yuO/zrGf7/MX3VOvc21/ZcHwc8d62bFfB4z6VYMxv8y4flkd8Ywt+SU7XRwnxsjm1ibVYsFisUBJiPHM6PwMDDn3b3sdzuMv25cXnlpCkKQJwtKBN1+jnNeTak0/SwFYNYYQOulpOMtWRwTnLPlwQFH0LkzeQ+w8oC77ir0MNO+6vXurC9H9G7w/W0QSzE+n3P/0Ux7dv3dmkv7693kIgX6/z2A45N0Pvs369g4ySc/aFS/kxq+UL7+ExfW674SvWlJZk0RISNGyPgsOIjoMyUUkihk+DsijpodlCdQiwzMCVzNG0g8aK8c0CJ6khpFIESGgoicRdTdWVYbQC0QMiJjR5QtKGJBSSihFRCrY/f670I94s8+9ucBImI07KZqyCcs2p9Ir2lQg8oJ6DlkF+cmUVWvwQWOE5kcff8aJcrzzwRW075KFNFETZYKLnhWwFTW9qJE4qrSm0YY0KioVSYVgN+aoKPA42qQkjQVC9HDDdcS3Sja3hvytwQpWjvliwR/f/RmuBulgY9hgoyCEiLIWLSpEqvCZJuqIdxCSjHmrsS1MvAMXCMJDMidJLDKJIFf4sUMmjvGJpZ45bGopt07Rc8uwiSgxplUBKzyp69OKgAOGhwbXdgldhiKhiRYTI1a1hMIhUoFYSGIU+KZPX7Q0WOgDIdIv+hS9nNIesD3e5Nbt6/zmd99nLFNcY/n8T/+A46knImmtoV4lWJ+Ts8BYw2EWMW5IPwT68YSqUXjjsDYlrjVUqeSo1ngXOg5UnjAqGtoiYDUMfABf4aOnjQGTw3IEg6nGeKijYmaGeOFxIwduRdlCbCNqAjYCFsZqiMDi/JLWxy6D1ioh2H7nGTrziGSJSRXz3U1EU6KcwNoc4opECvqZYkkPtGS65fF2hRAOvdAsypxIxA5q1pxHOEWjInGaQ5qisoRmCd55jC9ZqSFGBUJYMsozhJKU6Yg8LNDCMUok802DixI9l11mOakQ2YC0SdAIFolk1CuQQrCYtui6k0u5USRpWkTlESHBu4IgU/xWJ0MKVuHMOoKAzFYsxim2ypCNIicgNBgFJ0eSzCs2C8nCC+owwEZNGxZgPaqByIjYeoJ2yHFJlBavAr2RwFDQkJGnFWamOFomDNaHtKlHyCXxuKL1NaGMONdn4Q02tLRFe4blBgY+xUWJjZL+6og4jMwGAaRFW01mU8RsQgy9TqIYBTZROC2ZBI3xkpJIGjLaQuAnmvV9gQqSldFMsik2cTR9hxOB4ByJq5j4Hh5JAyxsSXSOwjhGIUGLhKSXEipDEhXrsqAIK7zoZFSuNyQIiysa1HKMsimbQpO2JUEEGFn8MiVDsOZmVL0hNljaesmGtmjpyNOKmU9QMpK0PXRjUUrg+503ko2aZprg27P3nhhTohEeZLtNLBe0eA6ipLSGqCRabcNoRZN49hcR0y+JiaU/WlEaSwyKjcwzmDuEUYgAg5CgRMJJPyO0KcoINpkigiUKaNZLamnwJrCWlCxjoCFB9lf40mEb6LmKJiikU8g4I9qACylRzfFDixp4tK3QiwBVJBn0kBaUF6SJpA6eJniMTqB1xAW48RStHJl29JtILBWnZYKxPbT0aOlITYOXEisV1iqkjGRpoD+aIBOgXbF+Ci6JZAPPaYTGpxibMLIWUstp4ZFJpBcEaVOwHLdE3Q1P4UfgFB0RoSKuJJCQB00qaqBGxap774uOd9coOJKRqHv4oIm6JdaOyiieZGOG6Ril52cveYcgomXE5y2tkMRySC+AVJHo58xtRMWA7LfMW0Hq4TqC9XdzagWHxye4JiHaQNUoBCsyLZk8vMboxgZDxoxEyamMIDQjlyKixAhB0BErFRGFEpJcBzyWIOY0YoQTEhlOMDIBMvoWoo400lGvlvziJ5/z8KPHjI7mBAI1KdHk9AxoaWnGGlkHhAvomSakATJDspizcSVjc2uL73zv++xs75BrGBDxKrKQHmKDCxEXEhI0tZQ4EbHCUgiNjgmlUGSyJpGGzZDgKHAMmWhJGvtIF/HpHj1dMs6mXzpP+qVAqWd+f3bjL3x37jnxpfWdAQfn23RgQldD9AEfoRGK2++8h1Kaw709jucLQgxIKV6LOHBZbjM72O/qOT5iPLh1lpraPW3/8+28QM46ucMFcwwghA4gE50XUjoYsr024Yr33LpxnTsffsiTR49p6pqyabpU5S9p3zchR/kmt3tVOZeFOe/pFwU7W5v89m//BbQMnE5PqIzDWP+U9QPfuPzk+fLCAOQZyegXw8nnQYWve6wvHPcrbP86AMLXacsvI6/68yxPZW6vF/D/KsvrSGCf3+5V33/Vv79O+bp1vL7U7vX65JsuvxwI+3qEMgGdJxgwXlsnuC5roZYCIk+lvgIutAev0W3fhCw6xg5oSZIEAV/b4DzSnUeqNUWa4EMkhKbzvjsDnTh7NnpvKYqCfr939ux+MQD1Mjbn02vTHfh8f6U03gcO9w+4/+mn7D28/5XHX4yR8WTCzu5V3vn2t/GAC4Ho7IV8uzvfjtH1dRYazhnR3xQzLo2GVChSmZDIKY3v5E0yjEnlAilnLOMbZNExii1LFWhlQhsHJL5lHBU7MWVP9FiqlmVSdmnBfUQ4jxI1AolTBqmPUKFA2nVaUZOKSJ+ElZCUylGqlvVfexudtcTjX/D45w1LFajWBdfnEeEFM5tSihNinuLzdcI8kNY1SXPaZQ1NMkTW5yd3H3DSd+T2HW4nAxKZU0UAjRcJJYpdIUlFJx1fphWV8iQhpz5jAF73KSdR0kRPo1a4agfh+9SqgNtzBm/2+Bvva+xDz8PPDvno888pRYbQgcloxazMMC1Ia9F5jdCaIDU+AeElJAOWq4BpHeshILxHyEjszxCJREmFUEtYc6jcMzwMMIvENLJ6s2XURopGkTJkqQNSRvo+Yyk9NgauHhtWKRgtKITC0rEqTdYQhx5ZRGSrse0Abwoyp9BDB4UjrnKKos9kPEKu9nlrOOb7t2/x/nffJwma6WnJp/cjp8vO+L2xLbXNqJcD1lhQF5bT3CPaXQZxRS5O0XWCtynOJahcUmlJGSU0AREFIdPkk06WUwdJz0WUr4ksOZY9TC6pJpKdlUBFMEEwq/qQBmLPgFligqdUHjGOaCtIpoKR6iNjTeNnLGzE1QqxzLGywHmPbCxxbY4peky3r5Gt7qNbQSg3EK1Ay8gwk1ifYbRmtuaJ7YKk9aTLhEU1JKQOubZksuwyzlZ5JC6GkOao7U7mKoTDsMKrHYKMYI4Z5gGRFcz0hKFb0IuOvpA0E0sIAvVI4/JA0BqpRx2r3wVmStMbF0glmJ7MWC8LpMuIazXJUUBXjlAU2KgJWiM2AnERwUiiH6GSY0RWslgvwApklVEQcDriZeT0ULOdSXo9yf0qwYQBLuZINyU3kbzVGDe68PiROw0xWDyGbDthRo9V7LGplqyajHLVw65vYJJjJKe4pccFQagUwfRxVrGykZAaYgyIALulokLTCEWvPKXuwTIPFKlDlhJlJHE6hJighCMmovPi0orhUrIIgioEMjJsKvFrkrVTT+vhtNXs9ma0OmD6YIMnOIe2no22oJHQysiyLdHBk3vHpleoLMP3e0zNETIE1nRKz1sq6WnTBFcM8Loliilyf0zfpqzrAK1EJA4x9ogDTWY9m3LK3bWbVCoQ3CmpbBkAk7zEmBSEJlYFsgKlwWsohaYUgsUqIzdNl0Cp2KaKKwiBpB3gywonHPtCg2nIpEQmm/hxQ6sbDucWihVZr2VNWw5XJTZEbgwUWZsSbAoE+iSkIue4GCKcIMGwLWa4mOOEopisCBLaFtbkChM8DQkiWeFShdGKka9ISEijIhqDMQWeDCUPkQWQCNJgES4iGonu9RClRHlFPxdMrcdaS5NpMB6Mx22tKAroJYLJqeS0TDgpc4ToobRFiYbMeVoFRmisTdBJl604743xaYlvKzZ7EDJIJPxUCYxNoR3QPz2mTAKzVKJTSdEoBk1BnVmc6DLXeTfqLgiBECyUCbIdkYaAEp4gQYv6jJUNCGgUzLVAyhylImnWENpAYxIO5AaDrIdKs06mHFuEBK0dJjU4l2NWAyYYerElczNa2y2sxZ5hYQR9pxnrjMltzUlm+VmckuxniPIMmKMmEznjJxMG2+sMGDCkYiYFUab0Qo5E4GTEyDMAFNBCkShPEAYnVtRyAmhkKLFqAyFyBiFiNdQ4lk+W/OBHP+Tzn37G7RWc6IRSpMhmSI8lWWooRxn4iLKgZgq3bYl9S/Fkxa1rE9749lXe++D7pCgkrsuCqiI1ln5c4W1CcIqgNY0UNDKCcMSQQcyoZARZodSKDbfGghFLBgwSi/AFzuWIdJ9MVwyE+9J50tfKK/3CCeTzQeTL5pjPbffFup7lSz3DOtCdbMC2FpcPuPrWu/yNrQ3+wX/zDzidTqlb89qT9fOjCCGoyyWff/wht67fJCtSBA28JB21VE9ZXs+kRD8Dp86PHmPANhVt00kVksGQd//iX+I95/hL0yl/9oN/wcMHD/jo3v0XN/DM7+irhDD/qkCGzo9EImOkPxiwubXF4O0PuPPxh/zgw89Z1Q0hnslfXiRn+4ba8GW/f5Or3q9bXuSj8qpt/02Ubf7/y/9vlpfdU/+6jeHXbY8Q55nuIuVyibCWSZay1c+prKN1EQ9n2W/+fEuIEakU/X6f5Xzxlfc/74M0y0gSTZYlHCxWOOsugfGcgW8gzhIW7d64wZXrN3DOPiM1vyyx/8Ji0xn4dCHzC13SBykERX/AalVydHDAP/77f4+mrl5LpXpedwgBpRRvv/MO7/36d7ly4wa1bQk+nLVPXHp3d+/eV5Hkvujjdvl4QBSIs2QVz3tkftUimk2aZEqlp2w5gTfr1Hadg/GCTIzI/ZCBWmKC5JHXmPEBGZYCSy62aWXKZ0KzEF2GuE1nOU1WLM0avdU1lhOPFRIfDFfbG/RsRm4yDsZzFrJlFlpux4KGyCGC0zRn4833+A8ma/zowX9JeTwjbTIeNzv0fcubHPDgYJugM9IixfQEdS553NbopkG3NW3ZQBbQiyWjP/uQ+i9+h1h4cAcMgkQisKngAcfkoWDLXKGVLSEU6PY6ubCkqmTR+5x5iASvGaaBImakXjJ2B3xaTTlJYda7xub7A669+V3+8+/8dZ7c+X0+u/cL/p9/8AMSQEmJ7fe7vjaQPaAbe8JBu0+qM5Is5ejaDvGwJLcGc13hVxG3gFj3yR41CO14kkE7NoQ0kj3MMAFsATAlElFRMREpk3aONxUHeY7ZLPBFwuGjE9pWYo1GvVUS5xuIwz7prQckJwviNOFOs0FYClh29g+Pewue1FNifYNdeZN6dAtu/XXuPvpjfnL0xxwsBxT1km3RchwjfbFkTZRM84woBEUraIJlxpCFGJPwhIyKXjAkn0NNoCSSF5G+Dwxd4GSe4MOA1I450fsUSWBgBe36Dra2hE8XHL65x1oleP+J5t5hpCXFihziDeT6CvG9Y2giflrg6w1mzWNslEzjBsO7J6TKYXstxxyQ+oJrdovDfolpLf7Hc9q3A4WwXD/e4/ANKF1EPIy0uSEHrliLiTvEXkBeO+D+/RrRRK4/hse+T9MDbpYgB0DEeIO5mXSZboshtz5dolaORzZnSiCEFtqSkQikUvE4TamfjPAJhBtH8OQ6eq4YZPc4JcNpTVkmLJIZSSFZFm8xcUcMwoy3StjfjMxSQVQtYfYQKkFxJ8XtCNSG47q5w6EOLIUgfwgmW+A3IvUyYyuNZBI+Pk14tDVFTjzmp32ir1GUXNuPtL0t2vUhe80hgUghI81U058r8mXCo8U1kivHFOt77D+2TFZjrsUxj+9XFL5lzQfKtGCyXTBa7/HZ0YD+ss9oNabxn2KSBJOkLNLH2DVHXA8cL64RxRLmp/T3Ii2WB7rmDRZs5bBWCH4xnTBqW3bEkk/9GqaDYNmWQ+pVy9G9OfM3LK4UcKjYn6UMvecNZ3GhxPQjzWbk2DwiyWF9JBjdiSzzlL1bawzuLwmNZ9EmLN6WyLqmePAA/ZYg9AVFahD39jtQbQQhOcAMcu7u9omzjBAAXfK2VhAl95KMeHhEkkbaUcY9nzJsAm8sofU9ailpQ0mIIDxkj2t8s0lIIuL2Y5im5I1g62RBGQ4hNqwJha8CdT/h4W8MUZ9voVaW6eAjjElIW8GN6gmLBym1yHmQ3ya/8phsWHO3HrPuxyRI4DF7NxYk+Yxvfb7PE3OFKgyZ8SanQ4tLWm4/XDDYjci+YO9uhqwVIyuY/2yI0havPId5DmMLaaR5uAvkpErwdnmEONKIViFpOJEJq0Ry63jK6WiL6do1bqx9jt73jBeCx+8a5Eyjpini+DrOSSofmfoWpUp6vQpocS5j1mYUWY7zKaYpkHKIT6bU2QwTJNlKMDkObBjBwzjirhgz+ughhoYmiRyEhH7d5/Z8xP1EsRQlrZ6RmMjIDOkvN9lzkihXJMkUCPhRwG0d8+TOOqQGsQVBtKhakcwT4kYLaQ+lrxLNHr4ItOMUESTjrM8Hx9cxmw+wp6ckZUmPGhMLFvUma/U+qIYmf8Jek5Lj2FUtYVJgnOTxPMNdeRujJA/yQz76Zx/TOEeWZLRxDBr6/QUH6tuY7SHF7x5w9Z1NBtsZsUzYKjVNDHwyrghhReYUN5vr2HQfJwxrcYhyY2xImIc+RkmQirzZYSBTMlKU6rO0nr0nx/yX//nfYbXUGLfBJ8MjomhJvOFWW7FIEmZKkj42uDWLGQbSJynJLFKIhH/rf/fb/Nbuv8XVyQ1+VHyK9xodUr7jbjNPjjhRc9bCkoHuU6iUh1RsB8VVJ7irWk5ImMrIFX1EEgZofxMvRjTykKV8wBORkcaMPGa8E25iY8mc1ZfOk16fKXX+/7OJ2WVWieAyE+p8y2fZUkI8x5R61Sz0DLh6WTAhhcA6h5KaZLzB+x98m73Hj/n888+71dLXPSk6YMkZw3Rvj4ODfQI7TAY9rDVPU7dfOofuv0vn+Sp2jThLyQ543xniCSGQwyG3vvU+w/UNSDOm8zlN0+K9p0hTBLAslxjnLzIM/qrLNwGIKCUJIVIZy729J/z048/4wU8/wnl/IUE5O9g30OLzql4FcHblZUbwvwyD4ats/7rSqK/Tjv/BltcMVP+8yr/u1+VFrXvR3Sy+8MfZN8/5nF1s9zIWGE8Zh1/47XX66jnPLcErsYOvVF4HAI5nB714d13aPsTI4+Njdns537p9nf2y5mhVYXx7JvsVfN3B+SpJ56uKAIIPmLbtJHYv8SJ86f5ngE6WZaRpSpIoYHUBHp23TdAlZRBC0B8MWNvYYDSZYIy5+F1EugyxgEAS4pkkiI6ZFM996gLd+89HtNIgwBjLg88/Z+/BA+qq6oKK17y3zrPsjcYT3n7/A4aTCYEue6tAIFFndZ3Xdw4mvbqPz5/PX2B7RboTOLtPftknQKIdSE8UAa88PrEE2SKiJESBiZFceRIh0SJhHYERCa1wIAwaRUZKVBUiGFIvsQxJtEYVJXlU6BhxscH6IRFJplu2YsSHBBlHuFqDDgxzA94gk4RqY5O/+m//Jg8e3OPOvTucHFVYaZiqgG8EeI9wS+jlKGspVhajFCFK8J0B7Wy+4gc/vsN7b32bdTlgR/fx8QRLwIWMqBRRpcxSR+9sLmCVRweJRHUyRpVhBayio9ANAYdx0Ldr6BAp00CZVEQtGGwJtv0b6MGIf79NOVwe0VaW7HiAEgMaH/l4+gBsiQgtidVEqTBownGKq1picOhpgvc5IirytKKXCaRWrOpA3wukgWXbJ0WhhSRVlso72iA4BcQwEopI6y1CCVS0mKIbPImLiKXCh5qYOjwREgd5RPoEfZHtcohJA1YF6CX4tMVwwunh5/zwTx7y3/6TI0J0RBEwIVKRk0ePEP4sM6c4ux8DyAahPS4zeDTK5qzFFUI6jC4ZrlmochbzPm1+QmFqRi0c+RExVGgxJ9oZIkRSGdiYd2bmx5OIKWPH2Asl7dY6Pk1wJwoMxCaCrij9EJd6Yr/CpICRuKVCbPTxVuFOSkIWKbLAxK848R5vJCZoNI6QReptoOyS0zSFZ1k5ZBuZnMLQWbwQLGWCG/VBBdKjJSFtkaknH5TYkwbnNDbNWbmWVFrWrEdk4GTAuZqlHyC8xBhF37foaFGnULoSLxQ+KAbeE4OklhOaRcBZS1yfIWcGrKRZjbAs8caB7ZGEBKlUpzSqakRtaCqLVAPyJCXZXBFr8E7htkaUpcAYkNcCKilQLdgdTTZfkZWGJG5RmYQ2GAZ+Qq0WeF2xMRA4k1C3Cc6CWglAshEG6OgIccrYdGysTMBy4CmNxB+lZDun9FeR3ipQao3rgx94mIJsQc/ByjnSWVSrMYDrgRs6wpHvQN5GgM6RIZDESNyuwefQ5ixsTYwNRWMIR57oFKDoJZ6sJyHpM20qagS66qShMokUKqJZp28iW9OGue/hYkYbNfoUok+o9ZCTuSZW0KjAuF7i8ZQqobB9fMgoj1OEESQJ6KFAi4IYQdsGqzXSCdJKIlKDk56jXiC0FimhHVgGRQ8hoDY1ZJAqxaQomK8swXp6CFZK0ZJyHAZkYYmLHqGWhNgxq110+BZi0JzGnCJ6EtEQmmMmU4MqoWkjuVmSEZkB/UUPvdIcW0UdC1yUzADTb6BoMSdbJHbB0LQkxrMSkjaJ7HooB562H8Cn0PMIGdBJhc8afBo49gGROUgizDKqpIdROYfRsWpSfDAIG6nKlCpocmuIvltc2jIeqQwxc5y2hthr8YVHnw5BeGK+IgJZYumlHicjrazx0XPfHXErzdhdv8I79S2oLXUT8Zs5YWVRZUtIEhrncaYlbORo6Uicwa4UrYm4usYPDXhwbY7WNdKAmgucTBExIivNEEe0YABRabLGM4pzhOpjZaCqLc4U1CPH/vhTBi7BB007EgxSyB1kC0EfQRsUS5sQJgaEQ5TgpMR6hTWC2xuOwViTioLpDxfUC48Igt4ZfT4IcOuHxJ2ayeYmvfUUPUyooySLGSqAcSU6bCACnKgV1mtUUBQWTrWl0ZGR1RhRAQmZGBJUTSUrjIv8/KMn3L/zmMXMQeykh/iEmHqkDLTR49FEIRABhAKZRVxhefeNdW7c2uDa9RuEvuJUrwjuLNNgFKQxZRQ7ek0hIEGhYsY6Co9hJiwD+pjYx1PQOouNfQR9nDIEAsOg6fsNolQgJEsEKQV9kX7pPOkrgFIX8NLT7y6ka09/vbyaeFki9TKpyjMBxIX/xNMg4bKfxuXvrHNErVHZgHc/+DZ5nnN0sM+sLLtJ6mtO+IUQeGOYHx7y+PEjVKLZ3ngLdyYDuDBe55JU70vkOi9qb/CextqOTZWm7L79Npu7VxHAg0ePmC+WtK1hfTBAAvuHe0yXKxpru0n+V5wSf5k04UXbfZ3A+1lwUuBDpGoMn91/yM8+/oQff/gx3r9+4PF1j/91tvnzAhr+dQA0/lyAze5AXxvcjGf7/yqYdM8cgy9CCi8EZF5Vfsl2vgpz+5IQms6e5zXGPa84r2cWEDh7wnTJAy6qfgUgdS7xeuZaP9cnzz/jz7+77O/2y5YXHeNV5Xlg/PK7i7MAL8TAw8Mjdt+8ybu3r/Pzx4dULjCrbUf3FuE1B8nTNr6ofa/7fjovwXvauiF495XuscvHT/OcLMuQAqSQXzwNIS6e16PJhLX1DYbDIdbYi7pk6K7dOUhFlBcgX+hcIDrJXIwQBD4ElE6IROaLKfc/+4QHn98lOHuRhfKV53O+EIZgsrbO7vXrvPHOezTW0BoDMSKRSHEpm2rs3prhAlT6YnneU/ELY+liSvLNQKZKNwThugx5QhBSQ4glWcghxrPgBhSSBMV2LJjKQCktIS7QUdGLOVJUSBFQUZMxJtGeVJVoq7A4DJbWS6yMqLRlMwgiGUIMOG0lMViGWSC4hqgUp4MRf+V3f4u7dzJW5jPK1ZLSOo51BBPQeERYgpZo7+i7QJtlBBREC0Smi5L9n54y/EsN/Txle23CqVzgosF5jZAFVioWqeFmCyp6FrpGuhyBRIaEVOcEAbPYMkgarFCsfMKaHVO4iInH1NR45RgVluG1t7g+vsW/n4z4yeInzOYLxp/uksod5sbxQLYwe0JoAtYpmlTjUNhDTYwKIRS940AsBqA1/eI+g14PIRNWdWBgIBWSuc0RMiORkkLVVMHQusAxATkAMQG/CmTUKCeo8oLUdwE7M4UpamyxwhnRwaSpo7AGrSKJliTJBuQGlzjIIKYNLpxwsvcLfvIn9/m9/88xUhuC8lQh0pIBBtHBXBcsPiEcUhlU2tBkDkKB0mPy2OCVJ01a+huBUmrmiz6+f8hIGNaqhsP4FkEIpFwim1NE1KRJyuZUsOhFHk4CeMhN+/9l7j+CLMvS/E7sd9RVT7oMD5UhUldmqa7qRhNiGgRnergAYJyxMdoMF7RZcEEuuOCOZjTjhguuOEsuuBmjcUMuiBmCaIzBgOluAA0U0IVGl+jqysrMiMwMHeHqqSuP4uK+5+7hGSlKAMOTFun+rr97jz73fP/z//4fW3bOcmeLrpG0z3RfAhEgW9FWB4SkQWzN6EYS5pJwLBHDIa7ztLMZSkeKJHDFNMx9wDlNHTOMr7BppNxXJA8FzsNqEDnuOlIbmR5FRtHTSMmpSfBbOdpZis8CbdqhhpbxqKWeedqqwJuMhZmRK8t+Z0mUoJOKlbOs4hQfMwKRoXxMQYU6AW9WNFoRSRgFiwqRF3pAt6ixrUVeOSGWEt8mlNUUFxuidMhlTjoaoPKEuWlJy4hqIyvbIRiQxQKxu0I8kzib0OxMWbYK1UTktSVmnqIrQ7cXyO2KorYosYOzJV3XkskrNKrGa8tWoTluBHWrkLYjVD3DcCsd0KoVrVgw8rtkCrTRxIGjmgvqpWb4/impCCQVWKWxA4ebOtRMIWuJaARue4Z0Gt0mtDoShp6wE/BL8E2ka4HMIINGBIm8UiM6A/OM+eqQtGtJrcMdRbySYKAwgXSgiZOC01WNLyXpPCUQCCb0wDfbZF3N7umcD92EjhQpFYOTiJcZVbJHt1AQAkTHNVZ4FVlWhtwXeJtSVwqZCPRIkKcSZEEMniQsCUZBkIiVRA06gnIcDgIidkgJ3cCRbBmkhLpcIhJPIiR7Sc5St3jlMELitaZC0dgp01ghQ4fwC1zoCP3ijmg9wUuO4oBbakFOQ+cqRnOFEopD58nkilR6kIbBaY72BZ/FPrImsndzlHmFHnY03CZ1HXnbMPWBTjlaIbkSI0+GnmoLopUII5EhoHVDLDpcbnm+DIgchJIwS0EMEXLAEeDrClnXsJA0MWEhU7ZqcK5nhO+7lpC0dEXDMkS63OJHAX2Yg1lCWkKXkRrLwFgqZQne0cbIx9VTdvIbfGP3Gm+Kmvb4iOMXh8x2U1wIyNMOrw2193SuQWhFgsMIhy0zGhdo/QoxLKEuCKstlGqQrUQ0Ek+CDBFdaqYEuijoooBakQTPtJuhh9epoqezc0JTUF9xPBze4/XDt/EuoRkJ9FCS1oLBKqARhCixNkGOG4R38BhcVNioAcXtXcfkqmCR5Xz2UYKtIkRBER2IyFJF/PgJcmfC9vYN8mmCHBgqJJnISRCMXEfhx1gC99Qjsi5n4BSmdayMpdaRG05Tiv5wZih2mZkVK0oOyxU//ovP+PTHD7FWkiYWowLCGUIWiTJQCXCbXYuglzbSgjiFN75xhW++exu/e42WwCqcolyOFoFCSJIoGaPQKBSBEDUxpGyJgiOxYCkcVxnQMqSNGa1riOQEkVGZQ6Y+MvEFqd2lVZFae56zYoeUqfwNglJwCcDYGDSXjBhxYQN5WbfnVcDUxRPKy6eVF69vPp8VXClCCJRVxXSyy/U3FP9hpviDf/xHLFflL+XGhxAoKfn5D/8Vp8+ekGQp1/Z2MSahaeqX3fQulf2r2ulimTdlis6xcA6hJG/8zu/yxm/1CHsIgdQkGKlI8Pyrf/qH3PvoQ372yQOUUl+5ed+40W00sf59pk25tFYkieHk+JCT01MWq/JzovGvShtD9+vm8/8PQM+vky7X92JtXu7huKGkfO67l0fC565fGCuXwZiL7quvavevq6F09r1XAA8v5fUqwPbC3+MGJFkXTAgQayGaXwW7OGdmirPyxU05N2U5q8TmprNK9T5Mm/JwYZG7iCaJ82dfXOviheY4v35eiQAQw8v1urhWfkWFHRBDeNkV9uLvZ/UWCHlxzYjnxbisnyMViP7kPjjfu0L9u8MGN7luBiFKqTNQocer4peOwS996hesv+cXgeARMX4uQO261/npR/c5GI347ptv8vbd1yn9fe49PSRJU34pROo3lIToo+6tVqs1I/XrM6UuHh7lWYY2hqos8SH0GloxvjRG66ZhOJ7w1rvfZDKaYITGenvJnfzCfF7jPjGC5NxFO/aa4yRJQiBwenrMP/z7f4/FySld3ZxFS/2qfg6+Z3h989vf5s5bb7Ozf4VlUxOiX68nEhEv7TXWUGsfsHkzbTe1vDT2N+OQrw9u/ippYR7hoiRGwzfa13ghltRqASEnAVIhmM5vUeoFc3PKnitIaRjLE1wANNQmstXuob1GekliStKQMvBDClacuIQTWxCH9/Eio4l7+OYGrV5SZh9xc3wLLwNL0WHrXZwEFx3JeMrO2wn/y1HK/7X+Ax4d1jQ1MHyO6CKmhLa9gmPESmyTth2MKrq7h/DUgIUYIn/+x/8186dvsPW3/jZhyxClIW89hU9IrCRzLbXJiCqi1IxgDElI2eneIW9mVMpisyG1CRghmdY5yApEYCtOcLaBaGlkxeN4iE0LRne+w12xRxY7rvzuHp2EVge+NXyf+u/9c178+X3+3o8eMhjWWN1yfHpMmloS6SiqGhUCNlOcHEjEs4Z01UKSEhyI6HhNPOVoDMd55CRCEAX4lPj8lOkTR/4s4yjuIsyKYBqC1oyahknbAXCUFHQuI97rmSYISbO1jbELXF0ymzWQVLCzArfAuKuk5Zuclp60fcKt8Jcsm4rTLHBUwN5iiVWG1uQAuFTjEkPKCl9Y2qGHwwPScUJ+U/P4s4TQjYntNo/tKQOx4lp2j6ejyEJomsrgbi2Z28hyOeXuyYwaybGGz4zBtQN4soV8V1KHOY+XM+qPDymcYjdmdMxRO4HktmTw80NWHTx7kdEZQeY9O3LB48MFw+mAu7+9j/igZoHiZ3vbFJMXGB2wCwtHGh8KYjehDREnO0IQ8PoK0QXsPehIaEVOwxB4SmEarm0rPllOKecC3824YS1mrFm8aWiXlrbp+GgReLcZMXQF07DF1jDiRjUf3TghdmOabsLT01P0KlI4yU2Z41lQJy3cvgeHGr2C0ceBZz7DCkOaP0cRGbuEXXGMLY9pywQhXqMQI5LMc/Ktj8hsjeoi86Nb3Nk+Ynyt4SdWIG8ppPCEkyfYmYYyY/LsOsNMkU09Yf4xsEMUWzxDIH1CWhc8+wiyvZZrt2vyvzji9EAwPxB82jnSOmIqwdFDBX4b3SjefPQAGQU+aj7+2V0WISCDZdB+Suolap6eayRGyE4ywt4Ae2uI+eAIE4YoP+berQf9gYiFOHiAVwVWHkB8jm4qzNJxrT2gkTWz4oTX3rWUS8nhQ8Hq5Cac1ORPDpG3E6IeIdpdbnJEOYPP6oS3u1PqseDRjX3sh5oiCLaHmqOrGt8Ysmc52Y2PUaJG1oEXy4ROa5pJoJg+pVsltB+PkN0UU3p2ThY8FxVdFggUXHsNrEt5cH+X9PkhUVtqFZF1gYySzAlWh9W6HVJinLFKAj+XLS54pPT8InlO1jUMZKDZX1KXhsTm7P4oUuqAMwq52CemNVF5KFY8LSxRQrIqmI0DPgl4N+dRZVBeE8Y1x2WApiS0IxjNEGlLtsjgWSBGwVN/QrIIGJPx2IDoOoT33MtzwrHGLCP2dsnYBbLWcNi9gTs8ATVncGOBjVeIbszV7BHz7WfUA89rH8NxzJiR8Ui8zsQccUvNefj0dYaZYCuzyO4B805wHDRVPUS7jmTVQHKCcTlmfg2yGW0VcV1kLlLUyGDGlj/4gx8jvy95+6/d5oq/ysf3T1j828dMBVg/ZimvEus5eqAodjLaZwlOpJS6X9fEtkXtOsKHU/AZIk1etlW6iB854kGLqrZhJahOHer1JSSgfUrz/BTv+tf7dblFMb/B6t9+A1PX5C9q8kXO0bLHMUhPYa0FWFDSPrlCQ+BpdoQVBYpIGheYve8iioTu0WfEThBCQtftsi+eQt5wdD2y9VkgCzn8z7/DcjQhJBmjxvA4qenoGKojZm1L8JrMjyjMAozjQ2PYcweoLuO5qNFBIGTkKF8gZUd1dML/6//+Dwn3l+h5g7taISqDbhVXWng2hGUG7VUwJUgvaMYDklnD2Cl+73/zbV7f/S6DwQ2esiIDcqHZ83sMsOTCEYRnEUYsbMprvuWpSJlJwa54RqUGNHIHaVtS0aKkI5pnrJykCymvhWckbh/cDR6mxyR0JFikaWmjZ/41GP6/FCi1YeycG5Uvs5rYXD0Dpj6fvsjd4+u4gbwEygiBjBFCoLUOZRKm+9fYnowJ3lE1HeIVke1eMlguXpcC37TMjw75xU9+TPrd7zGZjDHGENYuga8C2C4bQF+XSbUpgI+hjxQkFEJJ/Nogz/IB12/exHUtH3z28OX7viB9EYD37xrAiTH2bRQjUQik1ijZGwV+4065OTk/L9Tm5v7j5euvyodzIOWiy8X5rb9ePV9u3s0J+8v9GzeVuZi+jPWxNuReAi3iWlD4JVrKbyC9BK6cf9gAT4K1gXYRwPhNZ3uxPhdZKRt3rc+5yJz3/2VgLqz/LtYBBS5iKpv0qvkc1+vC5STpsaaLeMtLcPOaEBHpGR4Xn/tVvbQp7+db9fMsC7HOV6wBmTMDfnPtFa2xOfEQQLLWm9NKw8YFRPbUW0n/gvUx4GIfdlcKgUSQIIiqB6q0kmdjQgJl29JZR+sCxWBAliSMspyejAtKgAJk7P+ZokAmptfvCYEYAr7raG2HDx6FIM1ytEnW9/ft4Lwn2BZvO+bLChsCLgSs89gQ8CFebIhXRid9Vfo6zNDNtXww4ObVq1w/2Of5w4d01uGB7b1d8jQlTVJUlvGt1++wfesN5OEpKNUzXM675Lwz/z2kyIV5ewnI+arDis0ysxFKN0lCdJ7pcEjXNrRth11PCiUk091trl6/zv7BAUppgg8vM8riK9r3pXV8A0r3Y00ZzaNP7/Pk0UOWpzP8mjH8teodI9s7O2zv7nLnjTcZDMd438/vfllbzxVxYZZdeLVEcQ5GnS+LYv0+2tzz8gy/WE+i6CMt/gaWy9wNEVEiouSFtAQUV8KARlQIoRFo5saBbsiTipmtsKKPDBbsBI+l0wuyGJDkRDmg9hqPRYiaKDytFghatuO0p93jWWYtQYAIU4LQGDqmwdKYkkY5Sl0T4xiRJiQHt/nGrVuY+IyffXqyBh0lDYbELyDLqSdjxGlCtJH8ZItBu8KHiJcG+8TxzB/yJ/Ff8/r/+PuMp0Py0JEGSRYEWYzMhUBEzcBqjjOLlYHM1/jQ4WJHJGBEJJUKowSNdjgBnoAXFhksWMXYRnxwWLWgVQpEghMNQWQorZkmgeFbB7i2wv3bv6QtFVYrjHFI2R88WGOw0hOjY3cusK2i9f3hoXU50kPKCuUkSScZRY8PBudTarOiCynBG4yWRATRw67zFE6hyQCDsQIj+lN0jyaiyIdzgm9wzhGqjkGTkj81nAZwr49p0wHOlLSyog4tAomKChmgihoZAom1vcB/Eoiqj/osnUBXEtOtkJUhKA2dRekVZBG36HBtoEEy7jxdJ2ltwvQElLGQNyz3gDowKT0LpdBGMC0kqxNJjIpgDdHneGVoMkVbrEg0JM80J+REPNNuxWyuSLreBSRpp/il5tSU4ASVCji3xJ8IRCuBiOx6FiF5i+oCMkLXjZHzJUHC6U6O9R3OddAa1FLiURw1OUFaFJHgBU4CosOXz2malrYB3+ScRDDCsgw1eIuoO5InNVUORIloQQRwRE6jpQsJ1mnUosMIgUrBOoMJHrW2hozzqBCojMIDNgqia7G6BSxm5onW4q1ENSvmXaRWCsUMtCKKgC4lsdbYTmFcRa0DVmiChkCLiku890gcIGi8QpQgXKSIHrlSyCMJzhEseKvJWdERcTGldoGoGqyZEbYiaRlIS093RePbDF/laL3CB0WIBrGzwria4mmg9QFdtmR+RqoC1kRsAoMjjxSWU90ggoSVxtqEpSx7MFHAcRVxbb9wWlmxCoHWjmBhkdYS1ZxjF7A+Il3DYQy4Dph5jOhASRrfwAKkdQiOYd7giFib99HYgye2lsVMIWvPFiuWMcH6wKIKFNZiIiyVYrUELwJqq2OrlgztiCnXYSuiCyj2xojgEQGk1wThqFXLw+SYMbukWYIxgbEbolJBfVWhS4PpFIMA98Ip89rCJ4rBzTsU2znbw4jtItF7UrsCDCjwWyVJOkHpFGEsnEhiq6iKHGHnyK4mORXIYULMEqo0I1s5tAu4nQR5fAqLirJMaVxgFTo+ePaAgKSNAqlOkWpFkB1yVjCkQ4c5jU3QsWEoInNyrMhRpHTZCeVAYNMt/LJDhg7VNpwqKGOGtzladUjhUVHw5vWCvYO32N69S7P8GXYlcWVKMZWIXYnYV2QFfP+N17n25mvcX31Kk6cskWz7hEIFJukcW1V9QIZSokRHHjtGDlz0VKXGUqDxRF0RTA0hoJNAkge66pSQCEI7wdctmsDWJFBXkuAiZeqxiScGA82A5facYivnZjIjz2pEvcQKy6QT9BH7NLkvCAQa1fbi6QS8EChaYgRrFXG2BUkK+y94/cYWbeqZHyWUlcHjuJJY7r75Xa7ducX+VoqRDuEabKfxqkUFx1aZU4qCKCRpLGmCwKEwMWOll6hYM/VDFqIX0i9EwuMHL3j46We4B3OGiwbT9u9FWo/0klKNcX4OrUdZjTYRaRxxKXjjrSvceX3K3f13GSfb6GjY9ymVkLRCYpSlFS1eOCyapQy0BI6iA2kZyECJIos5AzvCxJJKNnSiZMdP8cLh1QmKCZUM1PqYVjaoGBAxkAVPRiD9TYJSZ1T9V+wlX2ZQwUvnqV/FkLkEpPwywIIApFK0nSXTmuH2Hvu727iuparbMyP54gb6CzfvUoD3rE5n/OLHP+LKtRtIrdnfntJ2bW/kbk6cN0b21yjrq0Cqi26JXdeeVwaILiCVRuc5+9eugbeYf/ED3Dpk95eBd5soeP9DpI2LIoBQCn3G7OLc8H75hrNfBfS+r5eufy6PC7+vnY3OP1/o519uDK3H3oadwcsgmVgbLJv+eiUodQFkvPTwTeHOwTTW+axBky8s6Rrgu3ztMiPnle21AVagh5GlOjPgwksMm/47ctNHn3/MVwMCG2Mwclbe8/LFc2zvrAoX3HHXDA0pwAjZgx4CXARPxMd1NLRL5bvYz69mwvT1u8hwVEKghUBLgfPhzO0hUeuyx37+hDVgGC8YrGdgKBC+oDkifThwz3mUNiFEDz6eAVN93ykhSKVCyrUxvW6TECJSyfWacREuW7sh0fdVZjSJ0mRpjkgUSkmSRJNHhYogQ6QNls57FtZhlMQgGURFSCVSK9JUn4F9hsiLkxnLqmZWdVzZ3WE6HHF1ukUpAo4+bLshogHjBenONnpQgNHgPNFZulXJsi6xtsMgGG1tkxUFHoGRfd2btsVXS9qq5OGzIyrb0XSOVVmxalsa53pdwPX438yZ3wSIuhkrxXDIO994l9/93m/xwQ9+QNk0dBFef+cdJuMRo9GIbDJldzplezQi/ugnBKlAin6duAD69q+BL19vfl32zab+kQ0YFS8sLV93resPi5Qx5FlOYVKGiaata2ancypniQgSbbh58zWu37rF9t4+zjq892dBKj4XoW7zLnspp/Volxv2c+DBp5/wyccf0ZRVz4rbiKB/cWnPHrZ/cMBrt29z484dyrKmbbpzQEqIM8mADd501m7x/Em9m+GFdXr9r3/3rC+ePeAVrMXz5fJXTrkdk8Q+mtnDtGEvaK6EASf6kE4UdGQsk5qRbpiYjtNY9u0YDMFOcfIUF1YU9OywKAZUQeKERcg5VqR0IqJFYNvvoqXFy4pVtkSGnKTbwwtFGi2j4EmTFUo3WLOCFrzJ8MU1vnH3LtSST+6VhBCwQdOojDEnxKyj2h/ASpDUGYPnKSNZYlWkcSnxBRyfLnj88E/J33oHaYYMtSZBkCLIpGAuIiDJu5wuX2CVQ/kFxrc4Ojw1adRkaISW2AQ6AT5ADB0qejKbsuUgRsdTeUIlDS0wZQ5RIr0hbS35nR2WcQVmSVNP6IQmz9o12Chpk5RO1ygce6eah86wkJoMR+dyolckokR1ijRIdghYm9CGFJ/MaOyIyICxbnGynx+7rUNg1v8GaFdiqCEDWk2Iijw/pBaRzguEbBmuhkxPix6Uaoe0icGrExrVspKBIQlplOROUQpNERqy0BGQxBBBBFKVQdDQCQpZ45zHrgxpDIi8gu0G+dTgvaASCbttx6rVVJ1h6yiSTCxip+KTiaA4gd25Y6UUJo2Mhp7maQ/Kq8SgySFJacaKakfh55A/MJzkQ3LZcNDNqGYSEyJGCBK7jV16DptjhJZ4E9CuRC0NwgmkhCQ6fBLx05q0CsQupW2mpLOOWEhmezuE5iGxioiVJK8MQkhmYUialkjlidIg8KA8sjzE20iwhswPKVOLEIFWVAhp0dYxfhKorpSERDLyWR/gQcJKOhqfEYIgnweSTEAClU0Y0KKjo5IFufcoAXWe9ctVVGRdh9QdQneMZgLnBN5HhrGkXhpWXjPIe3pGFCBlhvc5MSZI0eKiwJJCClJ6ckralcDIiFIGLzWxFIRFfxiVtQZ/qtdrVoqIkVFSsRIJlUiwVlLLlso44pWO/EVgXMGT/Qx3XBAXY5SqiD7BhwwxWjBedmyfOE6LgtQ7hvMVmTS0I02TRrZPJUuhODKBATnOJVidYfMlgkhOyqoJyKDIij54lLMpdbdN0Z4iRCAOS1aNQSoYJ44yJMgYGa0cIu9d5KNoGVRJv/amM1QtcDEnMCXLa4zukCLSlQW5g+uDjidB4JSiRXFTK7wQ2CTFtpGYKkbXAteeDTiwQ94xr8ON5+i9wODOBOU6hBPozuBkx2lckTWWm/o2A5ehpksmKJJcIm+lqJVGOUVqJEn5Mc+OV8SjjP0332Dnzj5vXQX3XBNri9GfkcxHSCT2jVP0wT5qMEB7EM8CvoHVTY16vEQd18jjFn0wgu2cej8hexjQS0Hz5gDx8Bnx2Zz5Z5LT1nJYlbz4+BmdMXitGeUnNLLFEuB4ykBUZHLBY7YYOkfqPI8ZokSGUooufcRquIcYTglxiVys0HXFYZ7gXQ5uiEmegggoJfnGaxPe+533ePO7f4PFPcXyZEC92ObOjZJ4LcVfLzjYz9kfb7Gbb/HRvSPqQcZKG0RIyZKWSTqnqSNl52msJM8sgxDYcpFaWPwqY7mcYLITvG4IuoVugNaR4dgyV6d4N4Ryl658TJI6trYk/tjQmkgpLUIHojLgCuZbT9nbltwsDsmGHlGVWNmReU1EUutIZlOCCDSqQ6tl/+oXYEKND5LWG8JsgpwW5G9t8WZtYGJ5pgL/5sWEmBjuDGq++e5f4eDuLQ7GkaptcNbRdRkkNcZHthYTRDEkqsBWmPEIQRCGQmScpIcIEXmzGbMUFZYOFXZ4/PETPvnZp8hnHUPrKIIn2l6LshUwSyZYWyFDi3EGM+wQOpKuJO9+4yrf/Z1bTMZv4KwGB1Of8kBJFlKQqhYna6J0LMmwOEL0HEfPWJWMZMdz9tjpCqauIKiAY0UrVoz8TRo1p1ELpL9JpeacqCNEzACBFIrMS/IoyPm819nl9CtF3/u64NFFQObruLp90Xcub3gvs5N0jAQEyyD43l//Pa5++iniT/+UZycnOB9e6X73uTxC7F1YYsSXJT/8p3/Ijbuv8zd+/39KpjUi9qf8v6m0Acyk7DcVmw26lD3cUpYl02LAaHuHrSLntKppbECpL273y8Ls/z6TEAIhJbazlKuSelmhUUxHY7SSa3HciIiRGNdGp1QYKUmUIhuNSLTEKIWUih4OksjQM2WigIfPHrNqGsq2/aWAz1eWt7+Rbq1JIoCB0X1oaKnw3hNCWLu4BLTWZFlGkRqUkCgBxE10KU+QsjeitVzXMRJ8BO/prGVelrTrsuZScrC3y3AwYDwaIxVIJTEqwTlLcA7b9cwV7z3OOnQxQGtNriUDqZCAjdCuBfk1/SmfiBGEZ9G2NF1H0zQcrypK21FHmKQJmTaoNCMzCblJ2JuMkEb3EWu0wjuP9x7r+7qHdft4HyBGEiWRokdyauuw1uGcJ/h45lITAbVm8HQunIFgvShxz7oZZxnTrSnTyYT9rT3STGESSdW1uMbSVR33H33Kp0cnPDydodTLy9UXgZDX9/a5ffU6d+/cAiFw3jMshiSpIckSVlW9FmcOjNIelQohYkxKCBHr+pDFcc0A2gCWRAi2IxDxCIJfn04Lga8tPkQ6IM0zdJJi8oJ6MSO6Duk9ViiUSUiLIcOkQGpFSADnCT4QbEAmPWNSKAFiDVBJhdDmDNxME4NWui+v6uedNKrX1Yk9gzREjw+e1nqk6qNgKcBtwB51Hj5XSYktS9x6vAy2tkjyApUkZ0K6hHAOMoaIF2LNDNu4b/XrlujpbQghenc8KYkXI4kKEMFD8PxW5wjBE7zHrpasTk9ZzWc8e/qEhw8f8uzFC54sS8IapEuMWrOEfunp/tIYyYqMrZs3ufFb3+faW2+vkUZxTg8XkKYZWZJghaBNNEFJ9Ia19RtkGX6ttAaxo/dARBmN0nr9p68ui7hwluSD58qN6/ztv/ufELqGtio5evqcqm0ICNKsYDidIo3BW98bvL9MUTlvnyzLKMuSP/nDP+T+h79gfnp6zjz+UkCqL2eaZXzzO9/hrXe/wc7+PrPZshdPX4+tTX4bMPyMyb3BkS5lIaI420xs1qi4uQ69TvRZPTg7SBG/oS5/mCxI/ZDMDzHNiJVe0ugZMsmoQ04TDFfMJ4zDhEHzDsf6BeNQsBtG/GL7cQ8+kWPsPgkZCsU2NUpJMr2LDBnD6NgPDQ8sSB3ITEMjTsj9hGm3Q5kITkPBU5uymzTkAQoreWo+IcQW3WyRfe8W19PIf3T/mJ89fMaRbmgOVpQ5KFWRc5+QJCgnia3k0UFKxGBOHXvdCG8DR77kX/yD/zd33r/Jf/J3/yZYCX6AclcRPKDSDR+milF0pDZwHMGYXm+i8yDCPjbmPIwRHV6gpMNQINwU4RNKn+GKBq8aym7es8kQzJQi8hRD5GozxAwlO6+l/Af/ccYPPit5fBooVx5ZX0PEIXFqieGQ6Cs+lSmDm5Y8sTz7cIg3NTYJ1KRne9DHpJgiIqWFdjPqHK04pstaorLMq8hAt6TSYF1Bo1qqrCK/olDPC+RpQv0oBSJZjBTVKdtXFgxvKMITy6DL2X+u8P4WcnCN4vtv8/3FM+Jym2Y15cPtz1jFnC4M+a76JrlOSBPF9f1IcyOjvDXAy4yhSpmIhPSjH/YHKkLz4MVnfNR0/EXwPEmGDJIFt9Qh/pZgXgaajz13dzW2jSxCpB6nNN7RHT3lquxgGuiuwfgvH2JygdkTfPxQYlvFcR543wtMEFggqWsapfg0TdluH0DYpnPfYeevPWNAzujBTW6PHhF8yVFTcfB2gUg0ZTuk3Yo0zrN6UXHVbLOoBT941NKuDLYVdHHF33l/n5vXUtKrA2JjcFlBefMK+8uH6GVJ88RR20gUse8zPUQoiSpaciERztCdTFBhRjQtzRXI7mmEhdWbLbPGsVpVnH60YP5ZYDaHD5VmckWykyXc8u+wty8YjQXZyJDKHJUaujc88X5BXErs3WOaahtf56jlAjMT6Dpi5CnNjqWcws8O9rj+mWDrqaD71BNuzohbFepTzYvXBiy2UrZ/WOMHAygM+/IT5JMKOQuM3nsH860B+s2McdQoDDKAevaYdnufZrBF+8f/mh988IwffHZIPQ90TaTz8PovWlbBMYuCZbPNrrDs0VDem/Kdb73NX/2ffYvszatgHbGsGYgGLTxSBBpT0KUFXZZTpI8RbUesA2KiECuJPJLI3Y7GGEqZMbTPULVHlpIwjjiXYusRSXaMUJKoBoQZeJfi/QBlniCGAfYM4VmLaDyy9Tw/GJCohH2b0I5TlDJkMcWGLWLQBAfZs2egPfZKRrY4waqU+fYN0jgDYel0JAsHZGgmqkJOKmIO3chgwjaBwEK8QByP2Hawm5QU9T5pUAxZMg+WVne4rZL98jo6FJzknve6Q95vG679Z7AajZBFxo1JTmktVjgYvkunMjoEq2ZB7HTvNjgKDG4OkY2m1SdMbqSkUVPaiDMFQicoNOJuIChHWTxh991vMG4LroYOnx0T5ILff/Q/ouwCTdVhf/pznh/OefJizv/3Bx8x15rTPKG7bTl+PkR8OiVNZrihx6aG8eMIsxcgj7FZRu5SBmqb69snzOpTFuWSQVPSaY1IC8yNW+Tv3WH8115n/1uGqALBKPbkHWrfUPqKW4PbJDLgQ8Vs+GPqVBJk5OO3FviFpHueYUKNUJ486dju9rGy4dNsRrMrCCVwLOi6A5J2ziA+Yyl2cU2Dmh2SJRkqZMQuYZ5kBKOx2QQjjqFUMNtjGJ8iZIvNjigeWZQKPHxL8La/xaCVHCx/zGHcxxpHSA/RdU10OXXYZ8RTYt6x2oWdZylKeuzNivzOjDe/cZ3/6Pf+18i/s6Ssaj75eMHvV6AsjLuI2z9ApAnZc89CHONo2I4tdRjitOZwXzGylsRaxMqyNQw4Y5FyRcQTvUL5U14XimMr+W+f/pSf/fFnHP7FCcFt4zimk57naUqXb+FFTjiRTFqJTuDkbks41mzLIf/F//E9dm6+TlLsMnwwo8z3aNOcpT7Br3c8h6blivMMbeBYnxJkhiTlqt/hVD5lwSlvdylOVFhTEeULsjAldXew68PwQXRMuwKrJE7mXD3egTzis0B5qKiTSMi+eiP1K4FSl9OXMVS+Coz6ckDh4qmwoN+Rbn6/cBK6fkbwAZ0VTK9e473vfZ/hJ/c5PTnl8PBorRHzlTXpjSYpqJdLjp8946MPPuDNN+6SZ320iU2pztggXwOgO2OCbQq9aa91+TfG3ua0VsQeJENLpFSkRp+xL74sSSm/EJT6d+XWt2EXCXpDwXlP5xzDg+u8/33D9rXrvbsGm819b4SGEED2bn5GKUxRoJVEK4GUms2JdQyRPEtJU8Mf/aP/jofPn7Oqm95ohzP2wC9Tl4tspUlRMB2POdjbZ2d7ujb2FNZ7vA947/AxIJUiyzLSpO8LuQaleqQiEKTswYELxmLwAekdXdtyenrKyXyBkJKdrS32D65SDAqyLEfIfsxpneC969vHWuz6d+c9OiuQWpOo3g1L0AMMzveRuBRiPT16Ieam67DOEdqWF0dHLFYrjsuaq3u7jIZDdF6gTYLRhlGeIbTqQSmliGeAXCRcoFtu2F1ayj5sPJHWuZ5N4cJZv25YlUpLpBTYNZglzkApgRKQpyn5cEBWFOT5EKV7V7TEux7ccIHpreuon/0l5V9+wKxuvqJnBVcODnj9zbd49933GE9GZ66SxpgenFESbfvw9j1Tqud19EypXuMmDfFMs6kX5Y5nbKq4BqYjEGI4B8ldD975GFGJQSmDMgm23V/rFwWikP2YNwlaKoTcDKG+XXpgXK59+0CIc9ZUz3YTZyDSGVi1pnBFKQmxF6cUMRLp66JMoB9gPfayqfdFBqkXAlEM0FlONhgi05SgFP4SAPMS43QNUm34X2INTsn+eBNBzxITIWwWugvuVr1LUA+0aWSMJFoxKgry3T1GVw7YvX6D0+MjPv3sAYcnJ8wWS8qu44yt+lUj4UveRYvZjKePHvHpvXvcufUa0Qds14H3Z8BfS4sSAqE1XvWRu+K67L8OPvGFBy9fyUgUOOdYzOekbUpT11/7YGidAwLRA84hIlODi46YZuQ72xjn13NAr0XJP/+MV4qBX/p7XB8iZGnC0dEhL54/49Fnn9JU1RpQ/OrWCzGytb3N9u4Od958k3wwxLlw9uKVyAuMqIvM0TUgdYEFtWFyfi4A34bOtb7z0oVLn84ZYb9OGpRjMhJSIWnVHBk9yidMupQoYSUqmihIaFDitI9cR4cXKybBEUKKCAWJ0AgsjhpnAkF6gmwJfkAqArkBGecIXRP1koIELQSdmpMQ8FLilaaWS4xQaAo8A0QUJMFj5VWSK4bbfxPShyc8OjniZ8/uU5YRFSJDD22bI30kEyuW5ZA+RpujUt3a3TESP5vTpAOefrrA30gZpBneSiIGScChUD5BBdBR4bUgiogMmk62aDyFFGvBVkXUCmc7gnD4RJAHhQw9iyIXEi0ErWzJXYKMiudJZCwyrBszOdkmLxfoxuG6IYrYGwDWkzuJcSnBWfRCo5RkGBvcIOCyiFoogk8JQaF1TcgaRNJBC0VSYWjIXMdMeuoE2sSgQsAHxzKdI2LHpBbE4xGy8Yi4IGkd9TDSpeA6zWmds5xliG1DY3dYPBtTvH+d7w0VV96ZUpyuUPUI0Q54TV/DWgM253rYxaQGnWrkVkscF4TJCBdSEpmQCo15DYYmY6AHCPkPePHhC+JHp7hTTWcdlVIMFx5sQqczjjuDsA2RFbHsmV2dzVhsH4FO8IdD4lggRUAcOr6xtcN4WDDZHrJ/ZQsdgKrlTZnglEYaTeqPiHGC420G3/yMPArGdyeMxTUQNbV8wXB3AkphHRxvp7Q+0B037CQO2zjGTzvq+8e4aAj71/jW61ts7STYK5KwSHDKMDoYMlxN0XXL1jWH7wwgEYlAF4aoA7UsmUSBQHMSB4xWLSpG2qlC73VIH9nbTTjWLbWtee3WLRaPlyyXLdetZ7KbMiiG7Mq3GW51pINAPpLENiEqhb4dya9pVAmrvW06t0WwBcUpJGWLspYqa0jHlryIfDcbkF+PpHPghUZMZ8S8onlzws40hVwSdmaoIkPnmq1yHxYtNAEObqFupaiDBNUoOqCNgeHBDun2hHQwZKttWRV/ySqt+Od1iS+gSwTHiwTlHOMwJ6FDJIZ5MeQ7b77NG791h53fvkPc11gbsfWQge1wRtCkEjqPFgOkGtMmHTI6dIiIAfhK0E0kepCipWGbBOX28DbgLJjtqhdlLge4tAAtiTpnUBqCTahtzlAmiCISpjmqaHvXxOjZzSdoCQPZ4ROFQKGCpjIZyiVMqoQ48QTlkAOFHWms0rCV4eIIGRzGOYYiQ2A4RDNIc7SKyCDoOkMnIst0C6lTkAI91mD6w80FjuAVRuQkIemju2nNKl8QE4nMU9ocrOn3UI8oSeglDua2WcsrKAa1prEDAgqVVMgoQAQaYZmGMUqk1MURQ5eSWHA42iTgccQmoXEpkgSVlXQqwYkR8orEe43yMNhNSZ5WTJ6vKLcn3Dud83i5wi2WhK5DCMfEd7Qi0mlFMAYRIlFKfDFiEfv3ix9ALROcyOgmNVZFou74yw+fkN/9hPFbN3nvYIvKBZa1w2/NULVEtyn18BQhC0wYYEQORmJzRynWYgBR4IwhSokQkUaVeOnwCPxySOwyIDCOcxANQSUMvSHPLHIEamZx0eMziXIFsXW4ao6YdESXIjpBd1ogo0cQcFEzaxo+PLrPbBBoqmMSCUq0eKGJ7S7tYIYIDt1VRATSKEa5pxMJCYodFUlLTWgDp+MauoBHMpoWMPJ4L1jYhJHUKOlpkxkJgiTkpK1moDxWQvSSKkKLJsm28dITfcQ1ESUDSipMMqRczZgdznnwT39MfXiIpEHqtY2mIvmWJ2tKYtchxgJpOryShOOcG3evcOv2LjvXrpHrKaotEFKjhELiqehISdnGIL1h7CDxkT1qVipgpUdGSx4kWqRIUYMoCBi6qGkFBOkYeItGk8Uhh7Khlm7NHu1ZsSDZSYfUumMlv8qG+2Wi733JZvrzeh6cedtcBKy+iBX16mfH9TPORVjDhk0k4tqNZvNMsTbqPE5rhntX2D24xiDLePDpp5yenPQMAb48it2mLlIpXNMwOzrkg5/+hINrV0mzDCnOdW42Lml8RT0+1zbrn3KzcY4XNr/hwuZ5/bsUkkSrNSgVX7lZ3qQvA6X+fWhMSdlHWuq8Z3T9Jlfvvs73YmC5XJ45RQRv8WvAB9nXS0qBTJK+7SVnTCno9TwmwwGjPOWjH/8Zs+Vi3U/nON6mfl9fp6T/KYAr29vcvnGTb37jPQ5uXu81cKKgcx4fAs45XPAIJTFpitLygnG9LkQM/cIqFVonPbEkRrwPmOCxTcXs+JCHDx4jlebaa7fZunqVJMt7TR5irw10UfjX+95fPvZsJZmkZ2LU5yLZkbhWuZHIM0NMikh0PRtFWcvRk0fMZqc8OTzh1t27TLd30EUO2iCkQirZl2PNdrsInF6MRLX5IcQGlOoZDWHN9InOnbk4SiF6V7QzUeYNS259/1prJipNkArLxlUvkiMwRpNqzeu+obSOp4+ecFrVQA/KfM48jBEpBddu3OD1997nG3/ldynr8uyZnl5/IIRAdmHchA0bgh6wEYAW4sKqs5Y+jJvZt3HFvDT2xRqYoY+stXEFGqwbqseTenaSjxHnbT9m4wWXzPWactHFcXP9DJQW5y6NcS1U3fsNus95GIn1fZFzdtFFYfozQWr6OSe0QQrRg6HW9v121v/nRwMbcF1cui7CGmy6vMbGcyhHik2kNoFSEqFAKIHMMsxoTK40V7TmtbqkW865+pOf8sFHH/HJw4fUR8dnul1SfD32ykUwYeMyNj855cG9e/x8e5vr164RQqDp2rXOV7+GirZDIZCZAJ0QVQ+Uh3VdfikX4Qtl+CJg54vSxfentZb57BSTJATvX1rrvwosEmITBCNgnaNxHVXb4UNADArStWCWtx7n7Ev5vqqcl9nKL5UVgTaGJ08f8em9j3n++PHXc9m7UN69K/vcvH2b1+7cveCyd36QtXHf7rcIF96KL02Cl18S8dKlDYMsrtfNMzfAS2X8egdoX50mqymZjqTGc2pOETHF+ILtkNGYmmBKKidRokWKGs+ITnQ0smHqAZeB20JlLVY02FhhTUYUDhErWvbIJSACKadE1SBURRF38VLQmhkjWnw0SJ1T6RM0CWmAEIek0VOElpN4QLa3xd7f2uLqs4rtn3/M7B8d8mDeIDrPoI1EMUDSkQmLnEuCgphGlqbr30EI1NMap1Y8+Pkx4mBClwe8CP0GN0qEl0inEVFihKHWligCiUuwcgnCM1CGlQWPwmtFK1f4GImJQLdjlDdIKSikRguoZYfxW4iY8ljPgQzZjcmeb5PMLKa2RLeLUccoWUEbmXaGzKcsWWBOUpTQDOWSxQDsQKCWBuczgjdoXWPTmpAFEjIGaclQObITQSMjdSJp0wQai3KOo8GC3QYmnWZVDdHM0WJFasElgnoisMuUuhzhqgnyOyMav8/p0TbFazf5nZ1dfi+/zc9PFKlPKIKi6W6QtEOSZoxsa0QmiQPFk2lNEnIyO8S3CV4oghKowZj9bMIVM+aT5l+ScUz4pCEeQ6s8pJrRLBBVik2nvLApmV8wpIalJMgMq3Jm2zNYZfBol+62gDbAsePv/M4d7tza4cab+7jvDFAhIT0pKPOt/lBVRBrxKT4WRH8bub1DEhqKlceG2wjTYYaf4dxdiBIh5jyabtFGEMuKwpySuI5vzjvqHx4TdAa/9QZX0x1Epjne7lkBIQqKoYf2AO0DYwK6HYA3OBTpVsDrjufNnEEAtOBk25AdadJWU+iMcHeGxDOIu+hJS6daRm/PqOZP6coF3bKG7S3EYIJJ7xCzVS9KPYzUM0nnJOGqILvlyGzA6YhRE4gDpkdjUj8HatqJgDSQyMDtFZTC0QJ5M0Axh9hwaA84QDCNnmffPCIfCLJEkz2fEvEEGSnzMRSKmPbR9ZahoxQdMruKGmckA8Nr0lAnK1rxhH/5p0fEImJzwalN2KktV1zNWFmOiy1Odwq+/dd/m+vfvsLwm9ss5DGdEzRthlzltAPD0dhQHM8QtgA34jiZIE0gSxSJdnSDSD0QGHYYB82OV9QhoUFQChjtHhG8pClTKmMIGkSSkHYF3mqazjCMEozCFwOSrCUKjzWBQTVBSovLT6mD6/USHMyGnswFdoRhcTDGS4vyjrlRdErQTQIxaLQVFDUoIjZGnoaUbW8oQiR3kaax1AIWwxHC9QBBZgzOt1jXUbNkJIckISFtU4JXtMpRymO0TIhaMksinZS4CM+bBQdtigmRF25GrgrymLC7THAhwUlDIkqktbgQ6ERNdAKBok2WTF1C3glKAi2eNniMUzQWbHQoU1LWijakyEmDFhmJzhl95zV2Hwf2XjTsvLPDP//oHu7eQ+wflTjXIrRn0lqaaKmVoDFpf6ipFH40YsEJi7iCQoNMQQ1pxjMCHu8tP/3ZA9JrP2dya8K7V/4ntLXmZAYnk6ds2THb5ZT51lOkPCBlQipylNb4NOBdgvKgEfg1O1YQqXVvJ8ooELMxMUqE9IzjCZ2MLEzCVhSkOah90Cc9A80XYE4zaJaI5QnuQCGkRrpAt8hR3mJo6UhompYXTz7mo4knX7ZsaUhkRQxDQr2H3V0hsaSxXAOGMMoiRzJBxZRpNJiFoa0cD/JjOJEkNUwTgZKWSkgOKRjMAiZ2dPkxGVOUzTHtgELO6WQfLKAKkSgUWbaLiB3RQ6xSpPboBESuOT19wdP7Rzz7w58QiCTr4HWhcwQVKaYO83iBbEFelSyKSBc16v6Yu+/c5b2/coPh+Aq6GqLalJiMkDIgsbR0DEjJYx+9UvbCjeyLDMSclaiIUZMHSS4SvGhwIsOj6UJGIyJeNFgiSTSYmPKprtBCYgSUg2fIYDAhYz83PJdLjuTyK/dJvxGm1OfT+WnyxmS5iN9sDPrzzy99+aVTzY33CKxP4dcGltrgARsDTvYuONEHuuDpnODOd7/L1bt3uHP7Jv/kv/9j5svlVzKmYoxEH9Fa45uWZx9+wI+2tnjt7l2+861vUZfL3li7tEH9OhvXHjDoEeLNiW4goNZuYC8xL+iNKK3WoNTXYHptXM7+vae1VS/oo++ZxNA4T55LkiRBeNeLEsaIW4uIblxS3MYIt93GwwvPWldLGybDgseffsKTX3zAn/74LzhZrlBKn7lfbNJXs9UkIQas9+QxcvPqVb79/vt866//DYrJFJWltJ3DxUCMG6AHEsDEjeZPoDvTZOor3pdBnYEGIrhz60ZAoxViPGa0tc0333iHGMEFaJ2jrmtC2Bj3m1vOz/3j2XVBbCsufO3M9orr0Fdn4u+bZ2xsNClQN2+x89pttmMP5nYx0sYA3oK3xJaX5t4abuPc20VcYCa83O0vAVjnjY0g9iIg/vMAdIzr6z7QZ35uIG7+3wIrIWA8Ro+32L9+g4+ePe+H2ga8uVAWKSXGJOzcuIkZDVk2Jcv5ac/cEC8bmue/r8v5Fcm9VLkL954ZsbyyfTbVEWtUSrx8+aw9wqVrZzldaDd/eb1Z/5QXvrsJJLAx0S8uqxf75vzXy+BRuAAoKngV+Hc5bTIS67ETxBmh9au0As/6PAI+4LoGG6GiB8lkOuH2X/ub3Pr+79Au5vz5n/xTPvjoYz599JgyRJTWfUTTr8nA2SSlFPc++oinjx+jdcIb77zD7dfv0JRVzwbsG2FTCQ52r/BgPEVrRev9r8WU+nXSJkKr/SWEwjep7yZBiB5rLVVZEVpHdD0IdbbYXHrPXNSR+iKA6uw7MZIXA9qu5Yf/+l/x43/zpxw+f4bW+qXnXE6bunjvMSbhzhtv8q3v/w7Xbtxgfrp8afxcBqb6ukW4GCxSXpyY63pxYX7FtUt4vBjt9xIIz8vz49fjx/WpnNQI4dHSYdki6jlOPWTud/GipYgVeRLQbkR0U3bbMY0ueWJmbOmGJllR4riiZhTdlFFzjZaS4ATSSnR2TKBmEUq284ImTFnY65SmJpeWifC8SBLSYLjRGT5NtlkJ+nkfnqKDAwkHdgJC0skCe0dwffsW/+W13+f/8g/+hBdPZ9iZpT14inCC1VGGpEJJT5W0yPwGAyW4KpYcSjg6WTH7f/4T0ul/TvqNKVdvzZmtjpDWcS0k1KGgE5HGLCmkRGOQfsR2J3Aq8OmwJI89IFxTksYhw5BxLQxYKksrPNOuwAuQXvFmd5MjV1ASGbVLtrYCfsdy+H5D+5MAoYPX7jN5llEsDSHOMTRIrRnv7jJZVkTf8emV2+jVDLPsqItt8AHh+1id+lgT0TTNFWJ+iMgXnKYJbe5gDG0+onuWw6lBLGu0mpEkK0LzGCUgBaoYGR/C3olA+xZBxBvB/exnJHdy8jeusRqfMM5GDNOr6CsNpuwwdYed3sZ5j3ce0+0RVItTDZOnV1lkM47yB+TtAX7a4ncbtpLXefbRAz7783/Ef/X3f8DpgwpQSLmN1wtKM+P+aIC2AV0fMahrHBOOxJu4eAxpDVPH1bJAV5oYSq4+Oub19+/wvf/yb3Hn/b+K3xPMr8zJFxNcV7MYvMCMapSGqCzHdoh2gXF3H7G4QetSlgKy4ScE4Wm6A7qQkkjPlookhxVOepbFisYNkTLBXEt57b/4Js4r7i+h8R7pa/zTJS7sYGJgtz3GiZwQUlZ2wEA0CLGkpITDfSIZmMiztCLGjuRRyxPXICLsdWNcvgTl6PyKeLpFjBmfiT1G14YkacAoQ1sd45sWt1pwaju6MjKsCsYV5C5y2AS6TqMCLJKMqz5lHCM+HtMKTVAprXvCymts0CxPUsYyI1OSzgSybgfhJLPhI2ZaolAkswxhQMiIKh7jmBJEwSC9BzXEhaAZpBhlGUdHONqiPJ7TqYDdA39nwG51DfEPl6TtkqmsmBVzmgAzBDt3UvYGKw7GHdvXHcOhxLSa9thRC08loWlH2LiEcErVZQTrcK5B64ByGuVTJgtBExQeRT4oiTScxIoqDUibk1cjeNwSRUCoSOssiVFse8mqOaEJsERg2g7hFA0tu03Ee8XCpYzSZ3QaTmpNJityLynaIdt6ASFlHnNOxCE6RParEXFg8BJiDSYmpKFlGFdEd4CQiml+jFQr2qBouj1WZoGSgltyh6eDiig7JnSUeQ4hY6/OccbilKUzc7ZnLXmnSFcDroYdTFQc21PqLYlUKe81b3CYPGahluyblLY6oPU5TyZzfDjEeEvRCV5IaHXkTa851EsOheOgegtTrGgnJadWgG5IRMdW3UuO+DBg3hiKCFsIdHeLtJyDK/nEK/bLgjFj3M03+P2bB/ztv7bk3rt/wU//8c/48Ief8DSJUOQUg4SbtuRQKk413B4/QL7whBPNZ4NbmGxBmj+mu6eRQaOEpBtf489+8Cn3/uxj8thx6913Obj7OlqmiLzEiZJqdpU8L5imgq1uwPXla7z+4nt8+mIBcgFyRl0XaO1ITEvRNCQxkgrJHEMzrWj2jjl6qhG+fxfPkmeMV47hB5AJSZQ1oXpEnURy77g1lzycF6QErshnKB+ppeIEQ9ftEp5L4pFF7y6woeNI5kzbliSU1NEwPHRIFfEJmEYQlOB5F9mNp0gHHy0jcr8m7ljenVesmLJSjpl/zrUmkkbNbQTkLc5Jth7v0OYNtS55kD5gFSXBR4Z0bKshKgyY2yGzbA7acTVcod06ZS5W/PzJMf/sv/nvefqT++zVNc0UOiOoVynHk962Sx+kvVdJKomigMOGLE/4q//bb/Odt77H7e2rmPIYF0vQNdLuIPUClazIdEvhhuig+EBYiqTGRMtcpCRqyUiWFO42tXlErVtO3AGdsCDn3AqGfBVIWoc0GcJkCG0opCBETYygOUY0Q+hGnBYnWC3I9OAr90m/Mih1ZvS8EoyJCLFhJfW+KGKNwmy2hxvXlLMN4wXe/UUgapPOP182uTjbjW6AgY1aRGstIknZe+0Wb7/1Jk+fPuWzp8++livcRUbBi4efIYlcObjCZDjAGIN37vOG5pmVel7UMxAhblxbOGO09IbcBSPxwtOkkvjg6LqWZd3ifPhKQySE8LnN+286fRnjasOAAIGzto8sI8U6SsbnQ9jHC/82jSWEINW6j+bV1Hz8yUc8un+fez//gNOyonP+nCV1qRxfVmfvPUoIhibh/bff5sbN17j7ztuYwYAgBd72DK6XWFhsTtLPjTK5Hpw9KHYBCLiY9yUM53xUyvXnzRjvmWEvAR2X7tqMscv23BqePZtR/Zg6m10vAxEbUEQIRAgXnnUBieIcSOiBgnhhmm1+f9nYu9g2L5XtkjEY1wP+cj02UNZZFuLzIJGPEakMSZqdGcUvkSHOMu1ZXjpJe0Blg3BeYAm9VO4LJfjcYnMRQV/X5xxnFOd3nrGELneO+LKPL/3h1zF1z9aWze/ic6Pn85+/ANw6e86luv9SBTlb7s8nkIjn8/qlW15qX86G2BnAGfqof9Z5pDLo0YTXv/Vd0skWe1cO+OCjjyiblsbaPsq6+HxAict5XQQ3vHNUZcmf//CHrFZLyrLk9u3baKPXMS/8GcsuyTJMkvQAmPdnFf5VAit8UXoV8+iXuedV6XNgoOAMXPfen83Ts8iPm074ouwvzuGzSbRuAylI0pzZ/JTjo0M++vlfslzMCMGf6T99WR1CCGRZxngy4a13v8FoPO4PmdgwptfjiFf082UE9mKBX/rSOTj38o2vRpU37bdxR/51UyogSqiVwAffY4AIEDl5SNkJGUUogYCXSzotMMIyCJKlKCAKihAZuwky5FgZGNlIDZRSMo09UzF4TRUzoozkeo5HIGKgjQJBghAaoTQjUdIi6IJBuilStFSqJAsnqKiJUbByBUmmGN+W/PXvf5v7v3jEX/zwA0QliE7R2BQhFAjfB0DwJVoJVtrjIygP+TJy+Cc/wpweszP+Nl71m/15bEikJMVgwhjhKqRwaLWkU4pOJqjoGBCR9FqUSniisixEiY45MibUiLULgWcpl0gZyVA0StN2JXV5wvHhjJoanzjUCmqbEqVhPHS0rcOHSFrVnIZARLK16qgq6LxEy5o8RAwOay0UGVEbdDWjMx0nmaTNDb4TqNMe+Ao2ByRbsSGPHhUE3kjcQPYue4cdDRKLQioIaYVPA+K5x+0FSgdlFWiMwEqNSSIhsdShQZQ5+Ej0Hhu7nt2IQAqLkZqpGlNkljq0LBcVT2Y/5fGf/YKP/9mfc/wkwa48GovWJUF0xGBwlYbUI/Yc248n4A2WFTM0GssgLPFzS2oUW7cd37n1Fre++Qavfe82roh4JUmWQ+ou4lzAOYlsFd72uow260XJiQolDE45VmZBJwMiJOCmZNqQxohuFSFt0TFypUqY5ZEoPaaOzKXCi4gRFUFEvLQ43TJ2ngSN0wXG5sQoaUVNZSJeSkqRYaxERYEJCu00UXqibIkqJ0RFECkBS8T1Ll/KI2kpvIQGfAep7N11vFQMZctA9K74Mba0OkELzZ4XVCLSScHYZrRJZKY6BqKkcRofI0mwJLFfe71SNDoQlSQnoVWBTnhUAGEFKipUGJC0LTp2eGPwsSPGgPYJiUuRTrP0c5TyCAmNqAlaohKJliOqZIt5vkMRGhKv0XGLxC/IYyAncjLfJlQtugwcmow8NRSJoAI6JAiNpz9Ili5gcCAUUTpUhBAcXlhmWYKzgtCJPliNkDhlsN6TCUGSBQTJ+t3qKCLge2F5Z0B4mLSRWguM0Ay7gsZ0oAIpHXVICQFyJVFKoekJCpkrCChiWkGQfQTFzDO0KVlUrLxkIHvQoAgKm1YEGRkAppvgA8x8SacCidSoKMhV1zsZ1wU2M0Qh0CIgrML5gDeRLpNELRE2shAVRkjSTKDX4vaLosJEgSSl7gxGeRJRE1xH6hVaSOpBR7CC6HtNPEFGHhNQK4gNygVGbkhFxAuoPeRoUinIASkDTkSsrwkRBAZPYKkc1ghqKRjEnCQx3Pnmd/AuI9/fYvCjFY/MCUfdDJd4gosUVjJfOIoG0iDZVQuiqInBUY8lehnQVaDbidjKsjwt+cP/z5/znUPBd/5qwf7dLRIlERkgVzid0AiDGnfk+5LxjZxrjzucKHHG0g4aAh6LwzYJMQm4gcOXK6LuwARiyJHGo8YN+XG/XzxFU8uIExJiwDrTMwi2PLHSiE5Cl7HcWdB6hVuN8HqFCJKkSxBlS5AWqy3LNkPFlB0MLm4jYksea1qtwUeyw4iNEiE0skqpfEUZSny7h7EK7SKEQKmgDgrhBhAVITrmgyVORbwSOJ0gfCAJgVHQJCFHREOij9jykkBGnXW4pmF5csyP/8G/5Nn9GYtK4bKIthkyJMTJAN9U4Cxy5EiWEWElZWkprhywfW2Hb9w+YJKP8D6jCRMyCiSeJ9kxUbUgHDEO+yDjomWPEVHIfs8gT/FSYBlg0xlBBETIsEi0K9BR0EqHS3pgOSjXg4ZdQkhXaNGiRMSFEVFBSJfMdImV4kzD6svSr8eU2hjfG6tyvcETL+1sw5mJfO4UsymYOttwCkJ/3yX9kRg/vxk8B3/6DWvYlGVt5PUucb1YeJqmTA+u8d5775GnKY+eP/9Kt4/LLnHHjx7jrWXn+nXef/cd0iTBveK0OsZ4tnG+2Cwb8dWNIPDmjzHGtTtLPMsrroElpRS2q6nqknlV40IE8eXMhYssqcvg0Uu6H1/hjvHLpx6IuvhU13U90CN7962NaDTwkl7PxbLINbBgpKJrW5rFjJ/+6b/io4/v8+G9T/BrXZ2Lh/lfC4QTghgcSZKyMxrx/e//DlduvcbWjevMFgvapoFwDhSdP+tCncSaQbKJQvUK1oC4iKZeZOaESIi9qPMGMpJCrHWxIv0x/8aifxnQ2fx27kYn1gb8xsiKGzTpwr292DqxF/ns3dbOnyGFWLsNbop6sQ/kS8DhZm5dbs/N3y+2wBmoEM/BiHOA4wx1OKtVb6t+vv/OdIfW7S+1wqQZmwham3HEhb4S9H2jtEFJhYyb/nhFuV9ZpQtAw6UxtWGgvfT9S/ddTr/KfLrIRPllnvuqb34h4+Nz6OalNrnUDl9Zi4v2/ebz5loQbP67/KCX6hHPb90MG2IgOE/ddQjT63DdfO9b7Fw54PZrr9Euljw+OuRovqD1HjaurV+yQl5uB+ccP/m3/4b57JTFfMHe/hVG4yEmTfDNRj8wYtIEnfTj6ldFEb+Oa/cv84xfab2+AEo559BRwsX360U0Pr58eXOxl75Yu49u0ETRR7o0WcKLe8/47P597v3i52eachux9M8NFSHOxnwIgcFwyN6VK7z97ru01tG23fo7m/qez/VXNM75XuQMUN9EaL3M3L44N+IF/P3i+Fg3xxkg9etzpfIYaAXUsmft9iuwgTggD4pBiORe0OiSlZ7RKMd20OwFzVMy8uCZOsfIbtEKwVJZJjYQVOQ4EeQBjNdEn/BI5JikZJic4PwQHxV1lMiQIoXCKcFYNLRBUnqJ9nt4VVGphu14jPYG6YZ03ZSQFHQHGX/rd1KumIKPf3yPdilxTvXaRqRoEUgQDJoFQcEs7f0MsigZec2Lf/ZvcIdPufL+dUbXRpAaVrJhT3YMgib3W9RYoqxJTc1MbdFhSL1gFPuNavTg10DEiai5RoGOKZVIGPgKJWpemAWjEMlFiteKujlhdnrM4cMZpQq4TJAdp1Q2o1Upk4mnWja0dcdoUVIlvS7Q1XlF6wIOyFXJJEIuAie+I5gCkRmSkxcslaBKFDFPMBXouUPGhs4NAMOWKEmjRSDxWUK3JYkD8EeWVimc6QNYuEGNz1ekTxO6a5JVBatVoEoErZYY3Ysrt1lL/hyiE8QATlV4L3BBEUxNoROmcpvUHEJdMj+ac//Dn/PDf/lz/uSf/gwpb6OdRMg5Rs77se9SQiOJucfveSbPd9A0BHFKG7fIY8eOW3G8hOyq5tq7ku/89e+w99ZdJu9d49GTFbI2FLMhs7TER4uyCk8fzdZ2EHcNkIEb9GuCqqn0CxqfYGJO4UeMjCOJAt0Y/HSJ8ZKrswHNsMPiyZaWk64jmkBulgShCMrjdccEh8Ywy0ZkPkEGh9NzVklGqzWNNIykIPOBxIP2mhgDbR5QckgIGUEIgmANSkmU9kg8405TVw5vAyJawhi8luSyQ+gRrUxYigWNMWituN6mPNKeVkR2asOLpGGWd6SsqGqBtTCJAec90Qtc4mlMh1Mw7hJK07LCk7QSHTUqGiQZg86Ruki7k0No6HxDZicM/AQVcx65kz7gjlI0usNkCWlmKBhxorY4MTsU1CiGSLYwwZLRkovAw8MtLCU6a3imMqaJZieBSoFDIZXByrU0g5dkhLUbUO/p0YReL2Y2KBBNwDhPYIqTCa2UiNYhpCLJIZLifSR2fUTgJjgWvkXkGcNOsBMij5OIiAkjN+CwiMjYMaDluJsikYyVw2uNJiJUwPiCICM2rVDO0KnISW5580QjbYIXkkkSSWKGCltUyadEacntgLzdpg0OKx8RjCQqSYyQCdu/u8oB1kSiCqhoe8BDKLpM0maa4BXSe2YsUVJyNU1JSmii53irZK+B1OYc25ydpCVXFX7lmIYhSkueDVvEUqGC4khJdlxOEQ3RPEEEgXaasS3oArRCUHpJJgyJUOSCng0nPLVf0QqNVAZEYKUcpYnIGKmsJg0Z+2/cQW6PmX7jKunykNXpj3hUHlMVgkkZKNrAg3nEd2BkYEef0sZI5cFvRZLWk84Dle4Q0uOs54///o/oyoRRvkW+d8CoKNBaolRvs7UYxJbFHASGtyXJc0MtYJU5TrY9zkdsC93JFJt2MHVEu8KrtR6qy5FZi9laMTmGBsmRNkQkYn1gYa3BDiT1FU+cSVhmuC5ntltiG0OYD4npA5SXJN2U0Fqc6bDGshBThjLjqkh5wQAhS4YsabQCD/lhpE41QmTk9ZimqanbEtcJTCdQTmCC5DABJwxpO0ZEj1UVJ6MS4XMUhkwnmNCSRs8kaPAjApAkDxi313BkPBrV+Ocrjn/xgp/+N39CKa5h9YB6cMzOKiORA8TVIXIpiV2NujanKCOqC7Rly+S1a1x9/y7vXt0jdhmtlSwZkSCQwvEw/YQ0QoJmGLf7yH6i4WrYYqU0tQSpTljGCS0FbXqC8ArlBgQZKVxO7nKafEWXRqwMOOawAjqBSBoK2ZEKz9JvEc2CIBdUskMC6mtson4NUCquQaFzA34DOm2MCnF2shkunHb2n+mD2dIrtrwc/ryXt/niTfxFwy2EgFT9fX0kqL4EIYQ+0o8PnByfsnP3DfKtLcaDnD/6wb9msSrPXT++oqZSSpbHJ/zgH/13JEpx/cZNruxs0bQNIQTUWgto0wpwvgGXX+JNJy4ADJuNt4/9Rr1INA8+vM+Dex8zbzqkVOuw3K9+4G9CiPXXTUKsGQ7W4pxdsw3COQjFOSh2GZDyMWKIqK7ln/zBH/DZo0c8evKU2WKBD5Go9dca0BeTA2LwSB9447VbvPX22/zWX/ldir09ApHj4+MLhe9/XMxiMwQ/NxbFRlfoomH9MsPkovrX2QxRFwz09cUQ6Y/PX7KaBAT5EmHlIjAl5MvzoP+7uFCHtWA2EOT57Aprg+1cWP+L0nnG6lI+G9fFV5UhQh8BMKzXhvVcRK51jcQFUfqXAKsLOW+ApvVjpRQUecHWZIqSEn8h2MBly1lISZr2GiPe26+o43l+n8v7C77zywrqf53nXAah/l3P439XDMqz57OBXX8TDxNIJfpAAm3Lcduh0oLh3bf4T/9XN6kOn7N4/pQf//M/5sOjUz5blD1TjrV+2dcorTKGxw8f8vTJYx7cu8e73/4W73//e7zx1jsUw2EfZCHPMFqfv6Uu9Nn/EGvurwZI9fc417vvuc5hdMKXkJgu3MvZunTWruuQdBFPMRhQNw3/+gf/gp/88IccrV32gC+M3nfRZU8gGAyHfPu3f5s7b7yBi330SCEC0mzWwc3iJl6a12drzhnctF6H18vv2UHVhbUxBl4C3jn/+qvH7SbLX7OvbfoptRhSM+KmzImA94JTN8dohzGeR8sDBm6PsQkc6Cck0eGDZ7sDJ2vmZslh8oKCAeM4Ju926WTHQC45tY48RIYiYVfm1FIxk5JR00LwdHiC63DC0ogSQoEOkVFo6HRNohomomOldrE4JmHOIEyonOJe6fjmQeRbv3OF/8Pw9/mv/us/5fD5CVOO0KTYXLG4AvE4IQRPk1RkXUadBO5PS9IyYfbZC07+9/83fvt/97/gynu32D7YpjqxdN6DOmYlLDFKQj1imTdIIrdWCasswQnDVZfTuhFd9FQ8wlmFQ0PmMEtD4Q05+5xyjBctb3WK4wcVRx/XfDpLaK7kSCPhuCImDivg6XGvOyglMOgHgdWK+ze3kccz8qp3m9cDS5J68j1J8nRJfFbyWZwQnmaIF4osmWFVizWO20vBYWhYCMWLVCCEAQXNtYBbRLpjCVneDwopabcPSBdQzByrNx6RDDXjbkA9OuRoZLB5hj19QZamFMmU51sW5xdEv2SvGSNsAl5yaALj0MGq4ed/9mPu/clP+fkf/YQfAUuRI/Ud0uqQLMnJtq+S6ReslhknJ2Omu58RfMR+mNBZmG95Tq81bH3wBOsVD9uc//y93+ON77zGnf/wDk/fm/LANoiPP2KrG5A6iXGnqHAAiUQPPTN5QiEyruX7qOM+cmaQGU+2XhCDZH/1DoIlUtao8Ye4ekAkw4+3GUaBR3BYjNmdp3gZmRcNI45Q3pA2tzjJT5G6Yl/BaXYI3pAshyynDQmB7VND9AsMnknmMKMBPmraLrJyU1Qw7JVLtHbEWDMqO55ONJVMMIshKl0ikxY9WmHGHhkVPu6Sd0fEYKmHA5TRJFLQtRl5m6BdwqOQkWXPGJsViRphQkdbOk6kZIhgmEh8MqCzjhaB87vscswwLJnToaRgisBahc0UIYVt94xlVJzEhHQ2Zhw8AyxRLimLkjIN5M0eudUkTtHFyGSVMF0astc6roqWJDr+sdhmoWuOkhfU+T51OOWpO8Yvn5HsSIY3UrbVEtUOWC4NOit7QXspedhpMqEowg5PRUQGiW4UXaKQIkOLEdczh0gtQcBOtU2rO5b5HLxE+xTqIX7rEaKTJPWQeaEw0XG9dZi6QCtFkgeG9hCrah6NZnTkPYjoMxg+JUpNHSbstldQVPjsCU/1KdYJqAVjtUUBCNugYocwFePiBXl5FysSHo8XDFcjHC338gU31QplAkXRsa00QQQeSoGZJcTgeV48Yns1pAiaRClKX9EGT3WcENKSRAv284LW5nQxcMgLkqgofELbCk6NQCWBA45xC0HdGky8TpfVkDTMYstuMEyjpBgtKKlovebuaQ5yiJMpTwWY6BjLlm68RNdjcBnPxscMycmCQZ22VLrE6pbdBThb4HxOl49JfSSxcHS/o862SQ5y3v8/XeOdwxvYx7/L4X/7b/kX957xZy9miGtDFrpiRUN8fgDZEpEu2P64ZeQEBTD85DFLpVgZhf5WxY8//QGf/p9/xt/9w2fc+e42t74/5Rvf/j1GMicNsOxusyp/QXX6AT+zGXZSE/cF9sMBikhqAi1bbJUlV+qaD63GmRQpEkiXNKvI4i+HbL1WYmrP+JlnLm6S0DCOhzQxwc00cTmieNMj44LV8VNyC0pYyvEn7C638D5ljiEVNSooiraApMIaz/2BIniL0C2rIbgHOQhYXYV0JZHOUuYnDJ8MULs5aXPKKu2wRtKWmu3lkCzkZDGyKp5h8Axnt9BZAOHoqopSCbzQHOkBmgQfHQtgkAZa1/HB02P+/P/xDzn62YdkmcCLGUooaAsmsaSIK/LFc4ILdFHzrLlC4j0TafnW1oLfevsqN95/nSBrBq5B2YArSpYkBBJGzVsYvSTRK4b6IYsu5yRkjM2cFZJG9EFRBrZl4iSSGwx8RMWOo8EnRFUi4ogdP8Y42TOA45B58pQy+4xBfJOFOuJQnJK6jr2YsRO2iX5BCNt4v/2V+6RfGpQ6F+DdMKLW+kgbQx0+z1B4+Qlr+10QOQ8Vf7bpvfDNL3P52KSL4qkbwzzGeOF6f7rbeo/MCq6//gY3PnvI8xcvOJkvkOJMqeoL69yfmAZsVfHgo48J1jEZj+ijYsXz09QzvGFtYMaL56+vMnb7yy+FnJb9ybAMntPjEw4Pj87q8WVtcdnIvZh+XWP6y/Jd5wBEhFBnhr2/EIntclk24BQxnrnIpHmOW85ZHr7gw3v3eHF0zGy5wjm/yfhLxtSl0sR+jA1EZDQcsbe9yzu/9V2uXLtGPp0QYsBfKNvXcf15Cby4lNemfOd90J/Av6rAl8X2z5575r4q1nSRTb7n+XzVfDgX/xUvjcdNdvLsgZFXEBAvF/RsTnyOaXOhai8DLetqrAGnM6BsM9/jBXHi9epxNu8vAnAvf0BqhU6SdRuzmZBn5KtzczSuAdDw0nw+Z1OdVe2L2/BL5smvO4e+LlvmN8G++jr1+HUAlctMpzPcYt2pF8fd2ZUvKf7nAJ6XWFrxnDEbIlGCSHPy3X10UfBNb9Ef3Ud/9pAHR8cELojEf2mKEAUh9lpNz54+ASlYLpesThfcvPUa12/eQGmNSfpIlcTqi9vhN5Qut8UXAZiX9Z5ede/ZM1j3QezdoM5YtWdLzeV6bNa1eNaxG6xYCGDN6DVJynwx5/jwkI9//nOW8xneuVeKml9kSG0+SyHJ8oy333uP/StXyIsC5906P3Fe7rN1kjN218W15OLYO3+Xrt9LF/LfVLX/zgVAasOM2qxhkUsg1K/PlDJhghEpTmhG3lDLlkZF2uhwoqGLLYmqSYUmQTCnpROCVCRIPGlIUSHFyhpLShU1z+UC8EydRwRPFJaVsiRSoERABodVFiklhdJ0oUFEhYhTrEuQEQbRkwSJJiMLV3gsBQ7dszRkTdaHmuUkKAbFlP3Xh/z2Xz3m408M9z/5GLG04D26NhAFOsCkgcb1WphTEbC2j7o7Bz77yVM6n1MM3mISEhJpQc0QJBAk0Qlyl6GjJAkCFwVBKBwZSIuJnrGf4qQnUjHAU2tJKwUxrVn4gCIShWXx6Dmn95/igyDMJTKRjMcOX0p8p2hlPwaCgmpP4MpAtB2UJVo3qNwjlgUr7ah9wC8MDZ6QQvADJB4pLWE6QDQgOyiVwI0aSHwf1jwJRBOQK0UgQOaZLqCKmtop4krgREPMa8LphPQgZUKkWErS1KNFiyvHdA147Rnamla3tGmg7SJKNChRs1tcIVRHHB0/5I/++B5P7j3lhVsyL7fxJqJNRda1mBAQ0bPa6ailIcRAqyOxM/hmxEKVON8QF4qpckynW+zcvsvrv/Uukzf2aK5u4VsBFlRU2CiIAjoZUDqgVSQhEhghgmIROnQqMF5QWBgFhRMeny6JyhJlRChF0mYoNJ1q6JQmCpCmxTSuP9wVHpNLIFDHBYWuicpRCUNwCrzuXVWFIkho85ZgEwKKNlicF+ioKULKQtR9vmyhdYcVjhOfQDDkTpCZFdL3bkCq7pBJCkLiuxYrNVbn1DFB+g7hBHvttHe1TMDWgQyFCgkyiUy7hMwnlBFEdEgZwRdkzoMLeFmBirRSYzvPKAzIY0YZAgkBhEUkEhUiJlhk7DCdI3WO1oAVji42TH1HgkdiKHVGIz2z6LjWDJB+m6hKSiRVAGvXWpYmJ5od0AlDq7i6yBnG2Ashx4qMAhsdNniEESRRMYoGp+qeHSsTHBVCBoSCNkQSL8h8QpX1rsOqS3FJQFpB1kDj1u9c0xJMxBKopEbGEoVCCYVaHwF5BBLXH+hmhhgHCAsiWOrUo2NAdVt4ljgRIBWkrUYEyUJGYhZJI2RuyDKJONFRxApHQYySXddgQkaMAtU52qwjiEDqaoJJ+wALSUZwsT9giTmIhqig1QWZ6923MmexwaAEFGmCjgqiJIaMCktAIusJighaUtiICoZgYVAZjAOFIGeK8RZcwMquZ4YCAzkn4AhREJSkMZZAR+IGpEiSAA6B0QZlIgMLlgQnNalu6LzkWAqk97QRfEyZhoibSmw+YPAfS1Y/+gT9l4/4wckLQuGRKdSNxHQFRkhq2xBiQiMSCn/MIAo0hsPjAb5qqcsT/uyzH/KgG7L/eExpdrm6v8v+ZMxg4tneFexeUbj7DQ7QzQgtAipGRAClKroAJ36LUFREY/qIlvRyQFoEZglIH4lpRISaIDtaHcFmZCIyTmqqWUHoIs5IxEoSdUCMPEmS4ALAksRIkk6hlx0rpQgefKXYCgKRpDTZuLftQ4BO4G2B8JDSEAcrurylaaZEZZBRkMcUJTOClMxURWt6l8dEnSJFThBQGkeUDonECXDiFCE8k+GI1bzj8PiYX/zxv+L44TPqxlEMdynqGuct8yTQioD0gW4BwfYuhXGmcb5BjAQ3/oPvM7h2lWhSTsOMVAzQEirlSLHoWJMlkUwIdEyog8AKT1AtnVyiw4hBSAghx5LhZIaOEasrIhXg146WLTI06Niv161YomJCHrbRukYKjxKK3c6jtWOlJZ4cJyxOHn9+Y3Qp/UpMqZ75tAalImstmIsmxOfPys/p8P03+mvnANcmbHn/h3MD5lWAwWXGwatEjDcsKkTPvCqbhixJ2L91l7u37yNi5Hg2v6AU/PKzX35W7w4lQ+Cz/x9x//Vk25add2K/Mc1y26Q/7t5zbd3yhQIKAAEaACSbhILRVIjdLcNQt6hW6Ekv/QdIL/oTFB0K6qFfWh2haDUlNckmm0TTASBQAFkooFDeXnv8yTxptlluOj2svTN35jH3VBXMjDhn71x7rbmmW3PN8c1vfOMH36fvOl57+xNsjUqMVjjvh3ImQSV1vvJdx6HadD14ymBQ6WIRHNOwcy0gwXFycsLh0ZPhwEa7Xa2nyOC6tNZEWh//k3fTe3Fal0OUGqKyrVldl5hR6RyYWrtixZQo8pzjh0seffAe737wEXXXI1phVoyf59XlKRfK9W8psWs1r+3v86nPfp5P/cW/iCrLQQS/aZ8L1L0IoFr//qLf1uDMYBw924y5pKE1nMr5gF9v4J/fZt2fnF9zCTC6WobzB2e4aK1jtmmQnV8kzzG1EiS5AM82jboXgp4CpMEVUTaNSNiIMrl+DlbGn5YBiH1WZVYVF63R1l4UWi5rZq1GFWkFNl5E1LswWRVyDpilzTaAp1rg6hh4Ge2gFwE8V/O6ys562Wt/0nu/rPbRixhhzwSy1kDICrfQa6Bx87pz0en1gct/rg9dPDvPAmA2XLhiJPaRVmvseEq1u8vnb90km2yTa8Oj42O6OLidGp7u26dTOu/v09MTzs5O+dEPfsDZ0Qmf/7mfRZRQyCCin2f5c5+BP4n0Ir2+zWMftwHx3L9FzoHbtabR2kX2ss4Sq065AK4u5SkDAKyUkOcFH7z3AR+8+y7vfvc751H2Xra+WZYx3d7mi1/6EqPJFK0Nfd8MrtKy1uC7zDC9ghVteD3LOUA6XDjEatzAn87renXeu2jui/k2xY26J0HJT9fvNhyQq4ioRBUMvRKcijgT8KlHpYYDM6MkR6OZSTvQ/lWOVoEijMn9Nq06xaNZYljYx2wnxXVnSSkyVz2nZsmebtBJYb3GGyEnY4SldjNSGCNhny4lVIIKIcbBOCvSLh9mR4QoqFRQmvuUKjKSnAd9hjMFt16d8lf+gzNG34Xvzt/HNB68xs6HOdpGYatVPMSgRThwidPQ0Wpoi5z3/ugOdZ1x45Of5HZZUZmeuX6CDhNi1BA8k36MFYMm4lOLSzLs4qpTbEoUbo8TPSdKw5TIEzOiFSEWM+o+kUXodM/hhw94/IM7wwbhCSiT2H7DQyO4oHmoGAaUgeVNjT4MyFnAnJ5hxw5TAqc5s9DQ91DWBldGwhjoKow+ReUt/d4B5jBimsSZBbfdI6MWWkvKA2QB88TgJ4k48mwdQx8MLml0iPjtBW48wzx6i6ou2I6R0ZmlzBK5dHTNLn2oiWnBLbOgHgdmpdBIpJDBZWKveJtHJx/w4b3v8C/+1Y9YyhNkO8Jigu5bbDyl7HvEdcR+wem+IqgcxFObhLgMiVNm2UN0HymOcq6Xhs+8/gpf+uVfYvQrn6LdzXgyjYTDBhMSmcrolaFjiDqb20Cmh2AyWdqhjp7jfo6ZWMZeMfaJnaCpTc9ReYrPMqIIiZzxskLFSJRTnFQolajMEpPi4AouGm01XkXmHHLTJqIS7oacojdIMDSi0SknSM+yWuKXY3xQLGKHiZYq5ez6LZbmQ6IEknkLsY8J2vNYCrY6zSgExuUJtNegM0hcENNgcKq6pp5YnM1pOiH4GXmA281N7lU1y8JBcuDtEBmuimz7kugNH8WIxBpCQNuK0gVs8MT8mF5DozNCaMnjmHHcItIgLJDU4U2BlR7EkdQSHQLGRVqjCQSCT+yGAXAOeNSooqZhmVpu1gfEsIfTkTmJJgqSBuYHUkI2JZmWaau59aSkigpFjxMo4wRST0eDyRKl10y9Bt2jgiFTliQ1SXtCDg98hvI5hSs42jlG9SXZfIcw7lECZRtxzoB4QtZB5vFimGclyAK8QvUF22h0MoSkCNKjdUDnCeZb4DzGzVlWDTYUjOprAxpsHalUFI3GRctMW+qiZxQV4/k2j8YREce1ruGxTNHJcsuV+LhNj0G1jll2htCw2y9Z5BZ0hlITom7wEQI5SQtRKVxWopYFxkdMf4xCo41iQjnojqGIMaNOafD2WO6hc4+xgVHo8T4Hr9nqcjQCWijSPlk/Q3zDwrRDYCUCW+qUZSxokiEqS2MdThpGbkwRHTZ5aiVYa9GZofRgdYnHoMwJT0LGIhnG4vGSQ7CMTnKWexl+f8q1N27x87s73MpHfOd/eIhjCAbS9ZD1JYUfcRxPWMoYIxW3OaZMQtUbjh7sotIxMOMPD7+Kvmupfn9E++oBn/z0m3zyrdd4daK4dkPxymsT9NcfEZzGzCdgToeozQjWzun8iHnahckMZQPSDVIc6IgycKLBWCjKhPQzok00pSItSyrTcr1a8sHjCS5l6DyHOQPAtp+wEwM4hDNKdigWUJwuabTGeYWuFXtKQ1AcZyDmlBg81ArnRxAHl844OaUf1dTtLrZIZAJZAG2G9/mTrCZJj5KOmNUgNwhimeWRcQooIk4iUY7IDOxuvcrDx0fcvfsR3/0nvzXYRibDTa6x3d6D0HBoIi2QPHTzYe0UADkWVBXIDipe//VfxWbXWIrhJHbsSMQaYa4ieWrJxUNWU7o9VCg48zleRdAOrzxVLLGxoAkjFrqk0zlF9PR6jlczJEBMgT71SBoi80U0tTpBhR3KtIdkD7ESyWLOft8zE8exTfQyoZcFThYfu076Cd330gAonBuua7PwfF/zKQPjeXoY54vmGEkiF1HmngESXU3PW6Q/K3+jFT4EHs0XfPZLv8D23h6zs2MePjnDhTC48j2vtmtXRGPolgsefvg+v/nP/kf+6q//z9jf38f6tFr0roynDVDtMgrA+XdRa6ucDeMgrgykRAgdTdvQtC1rFsizrHalhhDmWus/n8h7q5RSwmhNjIne+QGxV/oCT7t8MjFEkvfkRUlR5Mzff5evf+Ur/O6Xv4wLEaP1CsR8tiHwzHEhQvCeW3nOZ7cm/PJf++tUt19Hvf46fd+T2pYYwrkR+iJj/U/bzWnN9OGZ9UiQwmWwarho+P/qJenqeTzV6Oc41AYwc2mYbl5yPh6vsLp4nkE3nBPTii2nYK2e/Dwzbg3YkgZmQ3rKjk0rJsUgmr+oFwO7bXXsquti9IG+7ej7jhgDRmlU2gClVkjUIN2VzssmlwD1p6N8nQPnV+aYNRvzWel5c9+LgNDnpR9HTPtl5tsX5fksts3HMclSGhYvAhCuMN7YGGAb4P85KHg+GIF4wXrdLP9T999oc9d0uLalMZaDz36Ra+98mldv7fP1b3+X7/7wfZ4kQYtgRIjPGIkX9RzuaYxdfY/88R99hW9944/4R//g/81//Hf+I5rFnNuv3ebu44fDHPKSwMufRrLWstbECiG81DVrhmP0jhD88E5bvbOGB2GN5qSNf5yzozbz8SFQVhUhBD547wP+3b/9be599CFGm2cDy6t09RkyWvGLf+Ev8Obbn2Dv2nW6rqPvuvONCJ65QXAxxtbjK4Z4UXbZhKtZTXSbf39cQ10q8BUE7KdLH2Wn3AqeW8HxjaymSBmjLidEz7aasK13+UF+HxVGZGHK0gQy0SgC190ZKi5JLHknHnBkEvdsx1suslDCt3PFqDVUvuBa2GWhIrk4rqmWNhoycioqWl+SYsJwRtRnOKCNhr6cYcIYV9/geq9wusFVjzkDyjjiWrjGqDUgicPac+3az/JWPeWTb894OHuPftme17OhYCbXeYVT0D13M+Fmf4NKEg85pX7yPg8/7Pn9r71O/NlXuD0teKu5QR8NHYmgaqY+w4rC6SWlXpApQeKIIgzrsYfMaHQPpkcXDdvLBkLkicxx+hpJCh6w4GsPPO9+GJj4Fp2tNEreTTzcecBypLCnlt3ekSk4slu02RxXRJB9theKMng+evsh6lRTLgeXu3ENSjuOb71HfzJC5jnF+4/P2YOTSc7suMI/1nRv38Uca/TxANiZhUEvNIqesZRoMyJ/8w71QgiLgl/4VcXNTNE/1NwvCySzFFqY37qDPk3kJyAqg75Dlo7YBcx4i2qSs/zoq7z3P32Zf/+P/y2+uc5+lXEN4eiVhyxmFc3xHje5T78XaW4pYrOFLSqKmzkLq6jGC7ZuN5y9q/lCfp1f33+Lz/+vr5Hf/gS88iUOpz8i+cjWQ8u9LOLVIHr9ZjxAxFCbwMIf4XXEVop7ckzoErZN7HdjjDEs9loW8oReQ2e3GDVLJDqC6jkIBlJiQY1fKGwSdiWg7T6tDZxuP8I3ihgibdmiZ29TkfPauMZMAr2KPE4t1DWhVdTxBr4PaA2vjXZZtjldEn40OhnCqws4fcTD3tB6KPxDZmNDKzl7s5s8KaBVPSp6yiZgk4Zsj5GLjFykaHuW0x28MZwkh3jPpOsx1SlWVSCGM9MhriUlIb+WkBNwjaYzT1C5QwMHy9vM1CGdmbEXK56MhMeZ49UTTdPv43rFjdhyTE+jelR5wtlIs9jSIJbtruRmn0Me6b2jj57ceHabnKrNuXfrIeqxxz5uKPOO/f2a/d3A4t4Zp80es+NdtkJDrIS708ihMryeGW6OFffOLEocU+NZ6g7nEwun8aNAETtymXNnS5HUFMOEg7ak8ooyCtf9Fil5JOuQTOEzzaNMc+orxHdY31Kk6+i+oFwUbJsT+iIy2wZ9FOixLKRi1CmUtDh9gq8yRl6xv6g4yVuyvmMvHXGcPCHmSLfHSebIaXnLehaLgRF3PNHs+THaJ5ID7IJaRb4vS/bCGC09fX4fUVtoX6FqxYGJ2OAoTnPmZkKd9by3/R6mHWNjzq3shErnhKD5YdC82nl2UiK2DSdFTScGLVtMErikOawCEw+FCixuPcDPK1JrsE5YyA5eF1SmJ7OJLGXsLg9YiKZVgbkyjMyIqZScLXaYFZ668uyaI8zpDraZou1j5hHaXjihoIqePDX4tMBaxY7KWC7eYpydUpXHLOqORbDUi4yHYY+tL36Wm198jf/zqxnvf/kD3vvDR3y9HtFf8/hdT/ndETvZjK3qPj/KA3buyRctozfm9Doyj5rwwQidlcRRwb/4v/9j/rUSqqrg//Jf/O+BPV6//h8yjv9P5mlG1J6u2WYSLTti8Nsli7yjDUeUS0uWNeTFB5RtpM4Mx5Oc/G5GNJ551fPKsidrK9TigCZG5jrxYZ9TX3uEOIVeDHNu6hLhMJAW94khI6RdJmoHl9X8aP+UxB7jLvC2+5A7r92iweFO7qNvKlJniO+X3Lr1EJkWnO3cYv/7LcYfwl+5T3IVLmrqkJiomjxmvLV8laPQ4U1NNg1Ml5rkMkI/ZpYfDyLhTjjgAN043v/eHf7J3//3vPvNj0hA12lCGPpdpYCJUHUlW8mTq8DjGNlSCiOJPB7xn/zt/5gv/MJnKbaE0xRpkuOG3KQrehqO0LpnvJyw7Q3N6IjH6YwlPeP0Jip4fIi4CD4/RGX36dOIkZuy5StShIm3lOxRm5YnLKhTS5EMc+mZi9DqFuQYHRve6G9g6Mip+c7ufXSCIgpvLxcs9BYzc/tj10kvDUrJBnPiEj5y1RZ+2V35NThzTndInDM31OAcqDa0pl5kZK3ve9V4vPT3KupYjIGQZYz39vjc5z9P97VvcDZf0Md4Eb3vBQtRJYLve44fPuDOhx8QfOD29et45y70M2Rz5/lKvZ86nNYUlFU5h/prY5mMR0wnI44W9Tm09bySne/grylpz2mnP5O0LgfP6LcV1qKUIssLXLPk6PEDvvbvf58fvvsux/PFj80cSet7xsir1Yg3b97gnbffZvzm26itLfwlptaz83rW9z8pd62r934mKLsxZs6PrQ34F6RLRIjLd3+2QSUXbIK0UjHfJDVdZmhdZjxeipL2zMJcPM9p3YaXS7RRjA0e1vo6ubh/SqvfY6Kpl5weH6+Yd+mp/EQGba4YA03TElxAybDDcuHMKEOoeOGS4apkAzR+wRzzrL9fxs3ux2FFfVxeP845P8nYfVZZX+r+6/bTrPryoj3P4b7N98U5IMU5MHIJzHpZRhfDEA8hErRCm5zrn/ocn9MZ02rEv/vO92l8wKWEugKubNbvok8uPmNMtG2Lc46+qZGYqFYRIP8802Z5lcjAMniJMZVSIsSA9wHvhihiqdzoX7n6bhqekc1XfYwRAfIsx/WOs9NTvvONr3NydITrekQ2AzW8GNzM8py333mHW7dfY3t3D+/9BnP6PIPLQNYaN9vIanjdbZZ1DTi/aKJ6/hriueezYp3+FEkSNMpxplps3CJPlgxFMqfolChiYKoDTjqSNFR+l6SFXgtJIp14OtVhkieJZyw1M6MhaXb9sPgzDAwzTYsDTqlQSZEww2501hAAnzRb3mAkETQ4wEuPz8/QBJL0tAQUI5RSRDkl03tAz9IcsdR76O0t/vLnPsu//E7Nk9kZfeqgXJLyHhkvaJcBExKl98xX746Rc6QdUJxy9p0/YH69Zy4HzCbbGAekSK8cjTgcCo2j9MP8EehZigEsVmWEFCF6jI+AHVxtnKAAI56pz3j7rS3ibIff/8YJfRGQPDKLI/Ko0bUwdwFtSzKToe9NsPMO6ZZ0dk6bDDEJ4WyM6jyoRBhXpPkMeo/phOAVKSnwkVEMWITl0hCdxyQHM43qFBLBeo8FjMBxlXC9wgcLtVC0ibwL2Ps16pVj4vQRNl4jj5oiFhQxkElJbipmckzvc2KqyO0YXzccHT/kt/7ht7j39Ts8eLhEZE4vLSch0ftIjB0pD7i+RKlIpQP1MlB4zzQGltoQvSMuHL9w7YBP3XyNm29/hu5Te7jJAUmBaXIiAZ8pjI1oPwhxN1owEshVR5cyFD2RlswLEi0VFcpbfBJqPK60kBLVHLQfoVOiJK42uQOlMzSmA5XoVSCqSC+JsoU8VEhK6AQNPb0kUi9EFYkqMBHNXAEqMHINcwb1WicZvSyJEql0hFajo8FJh/YjDAbyjiqVFCGD2JLUIG4d+wrISErjVYeOQ2S8zFvqxhF0i/KBPNNkqaBvt4BVVEpr6cQNUR9DTxamZN5i+lOU5AiGnpa8g8xl1FrTp47gA03cIaiAKI8LFp0CpVJgxphgEadZqsGtNMZA5hSdGDqj0KpBjCJmCi2Kpu85mS9w3kBSaO1R05ycnpE7ph0PEdyiB+8WuFTizJhCanp6fBLyJkMFi0+WvNtC+4RPCZsKdDBkMWLjsG0ZlMdnPZICSnuUOGKI+JDIekEpS14KZRoC64jqcabD60hUkFWJPEQkRqxMVus0hahIbkBVkcpNUQG6TGO0UGCwPqPMhqVeLz2KHEmCRWNSjhYhKUNuG7QGxQRUpCfQpYKkASJRIJpIL1BbRzQFojL265JlkMHt2Zc0VtMpBZ0hWY8Xx4nSaBuoVET5FiGhk6XyBpsFxGjmbkyyBrTQxYRuE1kC4w0xalwCZwyIw4ojY0QWC8CwNCdESWgiHS3oQRdN65JK1WQSyEOGJ9GLp2KKjhaCpTctWdDkzZilKwnGg4JxGyEqWluy98VPYJxhxxSc/fYRd6XhETVYhTY9RgWkN4QEziaCeKJT6NawHUf0TtO1iX6kyPqWvKvxbk6mNKM0Z0s7tHhiETm1nhgSLYEQIj4mxFtizJGsxxYtmbQEFymXPdMKUpboc6E3mt5EYr7EzsakBD6B7hQSh83zMAlEExEtNHYI8CKuxQaNwlI0Bqc7JHic8sRmiH5rgqYKgxRIYyK2GZMwpDRnPs+YLxuCb5iqHIWmVZY+gRePMzWNCIil7KGN7eCuGhTiCzId2TYCreP4dM7XvvYdjh7dw7UzYEyaNEg+BJpo0JhUUjhHPYJGafx8IKBUo4Iv/KWf5eYXb2BfGRF9ogwBjecs74AOiZEtV2AxJDU8a1qBEUWIFiWRQgJV0vQCjYDxEyRm+CS0uiOyoKVlFAu0REQ8MxnjJKJkTkk2yBDohlk8pAslbRhh1S4qxoGwbjK8Elp1Wf7iWemlQSmt1ou8lVWxWsTKxirxmcb25qLs8jb6hUvNCsNIMmjdpJgQUUN0H/Wc65+R99Wd2E0mQ4RhJysONLhie4cv/vzPc+/OfbwLtIsFSl+ISz9zMb1iR6QQmB0d8t4PfkDwkTdevU10/tJu/GWWyWqhvLKFz02qDbDiAoiIw0sjL9jd3mZ/Z5v3HhyuK/lcoCGmp0GXP/O00VZxHXFp5Za52RaKoa+KzHL28JiPfvBdfvO3f5tZ3dCFhNFrl73NrJ/T9ymdAyA6Jd7Z2+MTn3iHd37pl/DXb+BDoK/rywjGC/L7aY+/yG3yqb6+fAbn4+TSzv5LgLzrfEVx/sCs/eXOrx/ucZ7zOYB0xXXu/JHZPL4BHMVnh0dPKQ3uW+uyXKrHGnS4GBObwN8APkFSslHCFYPKexazOUeHhxvPyDPAkpSIEerFEte7lVbcUO71PCAiiFqzZlasxnVNz8GSjwejfpr041z/LA2hq/k8y13349y8XrYMPy4glmAQnd4Apc7PY5gTzxlx63EVB7fnc2zkY94hT907ASHQhYCIYusTn2VrusVb1/a589FH3J/XHPcebV4uqMVQKkEbfc5Cit4PYaezDK0F8S+RyU+QXqa9Uxoi1YmsXKXXwv8vYAmvU4wR5x296+m7jnWAjXOQ8Byf3UDw1oxOhveyEiHPc46ODnl0/z5f/+pX8V13eaPqBXVaMwxHozFf/NLPc+36DYqy5HQ+O2f9fmybXOlEkcti5usyn+P9z3l+nrVpIKt37JUnBrVar/w0yUZFrQOt7pnWBxQCVjmSPUR8T+aF3ZSo8dTSULrbtHgaXRNEaFXkDEcMHRk9W7Lkni3Y9ppXOtARnIJWBazULKXgjAlbDHojPYmyWBBF08eKa/MCiLQm4IMhqkCXnzJS4EOi6WGiSozyBH1I5sd4aVjah5yGMdOtMX/1i1/g6//skMXhQ5pwTMzmqNJhq45FyMkb2O09D/AIkRveE6eWIGfU3/gy8zdKzqzjaKdgOyRMivRqiOSlUJTRsdMrRBSnpqeWHBHDHjkKD8GT9QmXChwFwVUYs6TEsR9KfuZndinzJf/TNx9DOUONAyd2ys37OWYOTziF0TbajtEfjMjcMVpm9FvHLCWjoSA93oV8Tip6/NYY3zTIsiObW/qgCBpQUIVIGeBhp7BZR2Z60pFhHQGycD2VCEYLPxolQKEajT8xXAuO3eBJP5oTDo5gf0wZPk3pNVUsGXvIGZHZPT5KRyRfotwWo7Jk/uSYR+/9iP/2v/k6af6QER4pT6nFc+ahnAtetVB6WndAGQMj3zGbOyqvmWJ4qC2pS1DDr/3qLW599m22f+5zPHizIjlNdtaw60pcEWmmkUz84B6aMubWU+DZkSVFmACJGE4YeYsNGWMZ0wZFFwNzHzBlSRYik7NIp7YxWKYoWvMQBZQ+RxcLgvEsNXjbk5wwWhoqPUIBVR85yZZEDEVfAg6jE1NtmGtFwjFu5zRi6ZSlSZaGM7Q4DiQjdRNSp3FxSaamKKtwY8/WsqToS0I6HmQFlAY/AatIJtCpGSMfsV6jw4hQNzhpscGQl1NEStpFBUkPs0XucPkCZwNZ59GuoPBjTHsKaUQk5yw/YdqAjTkfZOBCg3hownWMnaNtQ+230VGYiODtFmaRoRrF3D5hKZFGHFvO0mWG3igKjolGcMqQxQlHdcODk2O6LsP1Fu89flpifcuomfFgZ4o0keAcfXtKF3ZopKBUh5AiDkXV5Chyosoo2ooUW/q0pAwlWVrpKiVPItEpT5efohGsNijxED2h7ym7AlsY7Cgjq8HT09lIndU4EwlRoUeQ98Jo0eBUgaiE1XqAnnUiVZ6q2SFERZ15rM7JoqL0hnyc6FXixAmFrjBJkyeFpkBEoXSiymaghSodcKKX9CHQ+QnG9IgOBJ3oVmzAJ0XPVJeMQ861+TZ3dY0HCjfiaDpEU81cRpwc05qOQ2+5ZYWRRPANceXpsucz3LijyTSz5Q62jEjm6CVxI0bGK9fGPigcidYI6B4jPZWbQCjpSczyYwoMWRK61NGaiMo6rqWb5LpBi2MULY/EM9eafZmgQkHyhsYekvkK027jkyKaOUrX7LaeWQ0LLRx89m12RzlvHJTc/doxM93wUThB25xkAojCNpYYhZhB6xtMo8jnluuMOPaB+bJDbo2ploHRsiFJjU6BIhyxZTtMiqRcaLKeEGTYtHDgfYG4MUGVJNVjSo1RPXkfmMw8u9cUqRB6rXicGXoT8NMzxnUJMdEnhWnM+VLGbQWSTSgUSy0Dy71doGswjWFrXrDMGpR4ljqhzhZYUUDB1LWkkIhZQOb7sEjI6SGnesRp2+BcxyiLZKLQOuc4GToC5DPaAFkw6DbS0OJwhGjRrqBMwo28507dcO/+Ib/9b79OnB+jTaJvDpCtGhk1pK6mZgebcg78IScTQ59rilZBikwOpvyNv/srxL1t2iwhRwWV78jxHOU1khxZUkzdHkYEbwMesEqTY3BOKJSnUD3XkuU+ijbl7LgpfdT0BGamZa5OsCx4s34FpT2iAsdqSs4xVmbklDjdUeuGJ+4Y718hhC2m/T6RjoSjzypqtWQu849dJ/0YTKlB1PucKrFazW4KOr+ssZPOWVEME39c24MbIqVpcA8kDqCDEhn0Z17AUHi6zGv4ZwUmiQx6R84NqOFom7/+N3+dj95/l3/zW7/JvPPECFoN93mRZoc1hjvf+w6L4ydkZcXnP/0pRqOKdrEEPRjETwNTz9jqvVzgleGs8GK4/eYbKIl85Ts/PAdentOgqNW1LzzvTymtd7hDCCityIrsfNEvImitCT6QQiKvRqjoCU3Nv/6H/5Dv/vBdfvDBB7S9A8Bq9RSj4VlJZNAMczGQxcTr12/whbff5kt/7a9it7apixK/WD0AL9kkf1IsiJcBps7TudGXLhnx53b9+WlPAzFrA/Wi7BGRyFoeGNlgiCUGd8rzXK+Iqa0fyGd5Df6Y6cVgwtrF9Gl32U2AWqvBFej0/mPuf/AR73/wwUX9L6zNi2vVYLg8uvMRN65do33jzUHPaMMwlfOWuaj7ZjUvRQHdAKdfxoXteelZbn/PO+dqfi8DiL0ME+sSexQuYQ6XH7bhQ22cMHTJjwF2q2EOl8QAQF0p8jk2zCZQyCoM5fPr9iy9qafyTZHTJyfk1RbZZ3+Wv/efWb7y77/CV/7oa9zpPaIGjbr4DJDuWQDO+T1DILMWKQuMyVAuPJXHn2U612KaTpnPF/R9R9d1Hz9/pUTftCxnc46PnnDj4Bo6M0i/euexerRW08ea+ZtSInhPNa4IMfLwwUN++1/9S+5++AFdU6NEDWHeX2KchBD5mZ/7Em9+4m1uv/kmbdsyXy4wK/f5lwaBN9p/BTFf+mu49io4/jHPSNq8fh285Hw2/SkhKbipj1nQU4eAKj6iFc8Sx00n2FgwIycqCEnhkyHaO5SqYzc4xH2KXJ+xkz1iIT29KEwcE1QgaMHlmqq2oJZ09piqzyiBXe2Ztruc6FPuZPfQYR9JoHzHUV6Tp5Iy7lPEHXwK9MlxJmeUJN5KikdxSUwwTmMOiwf4KGTNdawf48i5l+3wf/zPfpkP3/sO/8Pv/Qb3Dg3NkaXtLRIrnAr4YsbBjWNSgsePCvjAYlKgTPCb/80fcu1TC/7D/9OXkB3HSDt2neCrDq8Nzhe0AWywTPw2cEjUcxhZJl6TRFgWoPo5Niy5lSKxO0CkZL4j2HTIqJ9RlktYCHGe0XaBo/AQk3Wot4R79RztcvLdt4i1RvqS62cdjRWcDpTlE9ykw2eB/P4hKUR8kTNKDemgI44VkkceNVNCU5Afz9kutinsLo8XD3GmB+3ZKhSxSXQtpMdbGNNisxpIPNGaRaY5eKVB3ZgSJ2/hzC5mUjA6AElbHOdL+mzGG/OSRgmz7oyT/+q3+Mo3v8Xvfe/b7C1zliYxsyXNVJOanPTIQFEzcVuUfsIsO6JuAvIBVEtFr3o+zDr6bsnPfuFt/s5f/3n2f+FtinyHhOVg+RE6WrSecIxBu4ytw5J2sqSJHaf0VPlgeJ/EiHEagqaLN9D5EzBzWlpStYt1hq2ZUBzuYkyPmRyxDKcEY6irkrqekryiSZa26HASmTWa7e4EpXK66T45J3Sx5dC1jLhJpYRR8ZDkMlqf+JAaWUKSjO9u7ZLUDBM82/OMKmq0KFS6yUKe4PIWrz1jM2ekFCSDd4mlh7qcogNUPhLMjJld4lVA+4K820WHgmQirqpIkjE9hUduQZ3mjN01yqpFG8d82bClKrSULFNGUC2t7an8Leqyx2nHdHEdLz21OHyak7mMPCT21CGmtcQm56F6xA6WEZozf0SdZ/htw0Q3FP0Oxk24O52z02bsz3Ie6ZyMnDxZ7i5/yFf+4Kt8+Z9+HecLTp4cUM80zVsfQL+FNK9y6+4TFvsNi9cDX33/CF2OebOoiO11MjUn6RP202ugNN4k5uN+eG80g/BeHUbMuxE72Ue0sWAWdijqJxShxHT75CNPmznkmsM9zrBZT5HNmfkScsHYgD/MiMsKo/ax5gybgdrKmefHA4slJZiB7TS+t9jJQ2wQxrMKP54QRRDVMs9OcCEjLF/BbtcE1XPXLRgFwYrF5Iq8EJI4TvtDgu4Gtl5nmE40uVjKtMPDcEqbegrvKCwEsfxQjdiWggLPhxbyumBLKfrK0eeRTBneaK8TZo5aPHHsOMsEHw1p3pGFU5J3lHHMzqlDK8eDvURSQm+Fx0VPIUtsDJydHWCrDFMETH+EqvcQV/BK3KLNDC4TysWckaooipLxk5w636U1LY05Jis8uzZwJywZmURhwOWJIz9Dec1O/watGOpg0dvQScATWRwWnN24iX99i1/bu83uV36bgz/6Mv/mqOEeWzyQCc7c41q/xUGzxdFHH1FOHNUuvP/QEqWj0Av693cIUtMXQqeuIaMRtX2Nd9O/pnsSKO9ByLPzdXzb7qK1oyyPAQgNHN9JnCiLMULW99x9mJHUYCPGAJMOdmZw5/pj+m5CenITefMuk9RzfQ7dItJ4zbzJ6OUaMetIk4f40w+x0wNGX/zLvHF/jj874ujwByxyiJLTyy51eQ/TBUaN5iQ/wpJzs3uFw+yQ5Dz35weMXyuplCY8CUy4zkiEZfJI9RhtAzQTxqnCJ8Mpicn1iFae47sN//3f/wrf/+Yd6joxPugpdlrG9Zz20BJOckjQdaAM7N4YMXctftFxrRV+7e/9Vd76C59iefsAaT1p2dASqUeRQuCd4z36akawiVyus7RHNLrhSbyJKCFD85o4ujijSzPuFLDlrnO9nxDjIWdZRzCRzO2ivUGjOZSOWhl6qaj0E5ayoKNhLzZYp9hyiidyjZGp2dLf51qwtFpYKuFOOkRRsEv1seukHwuUQjaMuLX7xRUL9uNcos5TWhveCdRK8+WcvTFkLOtoXRvsC2TlRiCrPFd0hxctZiXJuUGW1qyIJAQfKKdb7N96lc9//vN8+3s/ZFHXF2b6xyzyYwgsZzPe/c632ZmMOTg4YFpVAwCT0sDWWNdxM8SePNtI3WSZ+BApRmPGky1yo/Fpw6h8ifRxorl/GkkrhbWWPM/RWqGVQq8W+0NUCMHXCx7cu8e9jz7g29//AQ8Pn9B0/QvBxquGhDC4f2RKURjN6/sHvHL7Nm998lNk29skmw1gzUvu3r/Mby/jynSVrfLM71wp1gbOu+7fc/sILo3Fq2VYg02wjmg5AFtpAyjeZAHEc+XedeTMVYmEFbtlw13vkt/gi43NZ5P3LgDh9bdNDbWrnbPJpDovnwh4B8HDirXyPLdY1synlGDd9zyrP6+4JD7ru1yu/p8EW+plXexe1mXuJ77nlc9LANW6+mvXyQTxx5ROWrPONsGNK79uDAV1AYBunPcywN2VH4ctgOEhIoRIL4rixiu8/ulPQ0r4r3+TmfM0IaCu6Ac+C/C6AhNirSFXGq3N8C5Ma7rUn83cupnCqg7Tra1zl7q2bV/IqFv9wYYz6/lcc85SW78bV52UVh0pIuRlQdt2nJ6c8M0/+mMePbjPcrFYvYM/ZoZYAVzWWl65/RqvvfkG12/eOg/MsclaulrmF/X7MPVdfSeu1gwXtKnh2EYfC+s5a93XwzXq/Pqrc1paLzN+uhQ1Y0aM0Cy0EESRRKOo6HRkLoFCPEoSRhyl2wVqOr3ArNybhj3fBcSMGDOsigRghtCrEUgkpAm1DDpSZcipvSKEknHcozM9KQkhalLaIqBppMdZT0jgo2bLK4x4OtPhVAloTpKmiBlEwSpN0Eugo1eW0Y2KW+Y2vyB/if6ff43Dbk6/3Q/9HhKxg7YZwOqIgEQ8iU4Mbas5fjDjG//mt9n65U+yfW3KqBwPoq4R5rqnVAUqaZI4rBFQiuQcSx1xEmj6wYVRYalcDjSge3qm5LmhLC2vq8BJHqmJhL6nLz3eRszSEpqKEAqyrSWN6vE+0iaDaypCb8jSKa42xN5CiHjxYCLGa+LK5axqoGk9qevZCg7bLYm+H8ZYATEXTo8nqNwTy4QsxhSypKBhNoagKpLOCdUptkiMclBjhxQOpQJ5P8LqCsqEOzzi9P4dHn50nz/81vf48M5d6tmMXG4Qk5BCYNREahWpdwJWe+h6+qYhSiSoSLSR8SenXJeSg1BSbpV8+lNv8dY7nyVOSlQ06KYjWk+IGheFpVYYcQgtMWboaKlSwishJU8eHb1pUWKxLicYi4hDmx4nDd5Y6tJSygytIqINmXRE3eFVR9IFAcXc1BAsCgg46iyhCRBblDgMkUqEpBNRIPeJ2OcIkS3mxLRFTDm+NcRMY6JQ9BlJVygC0jY4E+mVQsuI6D0+JXxnyTuHjg2zoseQ0CphskgRKqIHJLG0DY3p2OuFPGnECLNqASpik9BmJ1TaYEUxsQVOQ68cIj1GabQkZvkMZYZN2Fo7smjIRWHsGZLiEBFRNwSXUN6QM0SsayWhdIWOCnpFpkZoZVE57LZA6plnDtEB7QPWCdO5kC81yRmMaQGPTwrOBOMUNhd020LniDWkTIMqIIyQvCeIp1OC1w2JhBePTRoVEyoViAlE3eC0X0Xh0oCj7Sp6rVFli3iDF0XUmko0SRRnQVHEAgGiODLd4XG4tMQEwTiDUQVeBMGwnUoWHkxMVMkTs8ElqrWRlBYoAZNFQnCEoIbn2wxRELNWE7NErzwdijwIEg2uzaEKGOsxmScPCZsUYoTSDwSBttR0WUKCAyJSDlIvZa2Iq2Ag2zFD9RbRgb5KqEZBUjjdYXuFDp4ud0NUwZDjTQBJaBRmOUFwpMxjo8FqM7gb0tLjcUmgr+gCOHH0RSSPmrI1nDFE+dMI3cSTdIdWLT5FCDkSFSKBKD1ePLqb4HWNtw4bHFpH0FCrDiWOLAVip6HzKJPoX7vJjdln+YWu4/hHX+NB63kSF2xHmCSNMRlVP8b2HaoOVPkJfXL4FEj6GOIS7RNazTB2iKqo0jVS0vRqiS8DKRqkrxhTk/BEiYy0xWlDrSw6zkk5+EroVSB5DW3JrizJswhbUPlA6VpMmrE8c1gi2gmNgS4BQVC0ZAmquE3raiqt+eT2q5yenXJWe7q0Xi0EDDV+LgSXkdKIajxD07KcLel1i1eOKKDEoLEk9PCMknAxYKJGdCQULUVdDDbdVsI2kf7whO/+xu9xfOdd+uYUTY/g0RLJJaF6wQdNqzVaeYwKpM5Dm1HZgl/8y2/y1ifeYm//Gk032EZJIsl6omT0SZiZfgjOEBQzczQI6ccJAU2WahQ1tfHUdHQILpUggU4tkWRo46Ddp6UljxabtqhtIKoB2B/FHk+gVxBIhKSI0XLdOZSKaKVotKEVi0uK7ZBwSuhV97HLpJcXOt+g1Z9H3rvCknrWAvNFaWBMXaz2BLkwiM6N6vP/Lp0vSl0soM0adJLzfC4VPckQindlaWpRxBQJvSdVFds3bvILheXR40O8dyy7/lxf6rllZ3AL6pqad7/1dXb29wgpsf+pT9GGZthlXi3uZeUacR6MjsRVMOqSwG8CvxIBr8YTSmtYuoCPT2ujXPTJn71xdDVprcnWoJTRaK0HwWmEzBgyrXh855AffOOP+cpX/oB3HzwkIRdG4hW3iecaJymR5Tk7Zcn18Yhf/dmfY+eNN5m8/Qlm9ZLgPSnEFZnvirEp8nR+f4LpEivl6vc0sP5khUxJTOfA62UraPBZjxsIwrMBqY1/bAJSDExAGEKarso1RKO8uItaudGdm+HnCtQX2jAvJOht9NYGbLwq5wZ/QQbx6PVvl9s+nd9D1kVIaUXkSqgU0YA5t56fbR2upxG7GnNDEYaDmy5Bwmb/XxkLiVUbwgXo/vHj5UVA5ovSj8P4fFnX3OcBaOfjJ16Eo0ismuhKMSRtAFOki3H4Y5R5ndLGl03saV0GkY33wDPK/FR+z2VMDXlpEYJzeJeQ3QNuf1Zze2+Pxx+8z3unM5ZNj7ZmjQKvuvwSRPv0fQWsNRS5RWs9MPD+/GJKEEJAK8XW9jbJe1KMnJ6dvlTfKD0ExdDGnAvUX/TF8Pdqf+gcHFdKUZQlT46OuPPBh3zly7+L946UElrrjx/nK9AnLwo+87nP8/qbbzHd2eHs5ARZuextjvGXit4nQorxfD5JKW3MR+sJduin8w0sWIFY6/PPR/jKhXQ1R2/ktN4IY/PzJ0w+WLZkxFgqvpUaAgEtkSjb1HrOmTnhZuzRKpArmLSfYEnGTAUK1SIyaCfpNIM4gmDJdSRK4iwmTlVGLoYiGU50YhwMecyZBUGlEdu+4rT4Hr0IfdhC+X2C6mnNCT6bEzGEMOZ1L3iJPM5avNrGY3GSuL4oyKOgTKBTT/BATBVp27I7vc1fvH2bD7/8EV23ZHajQUmLahTpoWU+N6s5IIHxRISWDKhYHM/56j/5x/zcwd9F5Z8g37pOCh4nPY1dMFEFKoFTNWWhUBjCvOZsEmlUwtWGYDJUKvD9Nip/H9EdMRbsW0WZWT6hIj8sPV6Dbzr6cSRqoXhiSG4X0SX59WMa29GngMsL0r0xamnR8QjpS1A5lDVeB4IEtC4J0aF6T7UUUtej+8C2D7TujFZA8gJVCGmseXxvSrHfk215xI0pQsNYPCdjiCZHzDahmmHzxDjzqEmLynoUgbKfMDIZRSZ85+QD7n3ju7z77/6A//G7j9FNz5iAFkMRQQdH5RVPdj3tfiJ34BcNy+AhQdABX3rkCxW3OeAvNTd549U32P70K2y/9jpP4hNS71BtQ2eEPmnaoGmsQeslop+g4w1s1JQp8VACKUHlWxrbYlKi6HPaLEcp0NbR09CrwGIk7OozSIbktsj1gqB6XIyImhI1LE3LtJ4iUZOUY5krdIxU7RKxnozEthiObSREyGpFcCWGSCnQyhYhFaRlT58MKmlKl4GaIDTgzvBW8CYnC1NCe4r3PXUyjDqHFkcTW5QEjBKmpmDU7qK8pc+PeVid4WUQEi/jFI3i8XjGqC+wQXNYPGEsUwoqtosRj21NbVoyabCUWIRHxRF7ekRBwUPTsu9HlGRkecLHgEuBRRbIkmBToiLDSc9CIqXdI+sjyUWMZMgEUu65fiw8rlqORz2VcugWjA/szTK2/IRRtkUf7wxrMRGyU0NuhLL0pLYmNQFOMspxgSkmxLSDLh8QxNGgadSMFB3e92y5CSpkQAF6SdANuvDY9jomwEha7nYT+soRxwviyZiUFIhhrDSLZDjylk/6EZISy9BQ2ESv2iHwVBgPLpLREJyiwHAt7OBxmNgxkZ6l1fRGqDNBwgwrEZ0bsi4QUiAUHUYZdLBMWkuzd4Yzjr4Xth2IN7hmRDYOGA1l3mOcR5KCLDJ2g+thN85pJKH6npJArAxKabZqzRPlSaLYDSO6pqCzPcsDzzgIKiSiNJSNgBcWVSL6fQg5fTYj5JCiQZ2OYHQEtqHyIwwWmzQjlhynhAsKqSc0KVDrnr4K3Fgoys5wWGpiGN6vi50OmxYY39C7EakrIRTkuUdsTRSHrffpqyNiMcPoHmMC2kKXWqrUU6RAdBlm0WJ9z9HebfY/9TO8aXfofuN9vrY45TvNGde0gNHEzFD5LejmxH7O9u5j5t4w7w1kj5A2oYLBqmOsUWRUFHKTTkMQjxs14CqUn7DNh/Qk5pIxzTIWtmSWlRi3xOdCPxWS87DIEVexrebIONJeFyZ3ErbtKHjCo8ceo4VoFbMyDi5rJGyaMepL9hZ7PElLrmvDL05u8DvjgqP5gjoNhH1JHpPO8CdCDDm9GnNtcgbScr9NNKbDGY/oiMWQkQEaK54kgSI6xBuiSnTFEr2sEFGk3QTvdiy/+ZA/+m//CUuTYexga4kESJApwcRBB7XVFmMDhohb9ii/w9bWDX7tb/0a49f3kaLAzRcEq0AlVLEkum36aJkVDTbsQbCcZh+x518h99so02HiCZoZJ3ZBg8GRgZ/SyhKlF2RxBxUzJIKxDyjSmCwWzPLHIAaLYew6nCScaJIKuGSJKecdN6e2lqXKONMFLuakaHnVG05sTUfzseukl9eUkk2Dbjh2zu4QufTvanrR7v86D83K12PTAELOQ4qvjfBzYCcO7n1KqQvShVyUb1hQXyy615G41gKoGoXWiq7p0EZR3nyVX//1v8EH777Hv/6t3+FlZUOEoRG/+e9+j4cffUhWFLx67RpFWdC2DVqrFYAmKOIFc2W1AL7aTut/vXOUWpMXOVtlTudrXAzwjF3+lFZR+EQN4NufcVqXuSxHaGMGQcOUUMZQVCOsFh598B4/+OH3+e/+v/+QJ7MZi7ZDaXMBrlxJT7k0rT5jDAQfODk+ZvfVV3n1tTe4/st/CTGGs9Oz84XvAIZcGJuXDJ31WE7rvF/O4P9J09poWoc4P4dyJTGowMml8XBe5tWJkiBtuDVeAFIgKQ3PQkorDEYGADmGS4ZVkst1VGoAZs+NuvNxM4BSg4GqLnXN5T5ZR9dbgdMr5ssFuJDOceyhGur82UvDfjmIXjfE+oNzH761NWnSsAuQwjlgu5ku+lfIsozbb7/B3o0DbG4JrrsCQj27b85B8c2JTT37/J80bYJbz2OyvGiefFmXwY+7XrSca4OtA0mEdVuv02oqXhvkz2Knra9dj5tnEevWYAerT1kbpVfLtjHvv4yr1dV6Pa2ZNTCw2pMZIR9h3/gk/4v//O/xnT/+Y771x9/gDx4+IciwC2qVXBrj6congDaGpnOcLWc47/5co5zCar6NEfGOg70dlMCDhw+Bl2wzJWhrns9OguE5TZGyqnDO8+F7H/Cb/+I3uPfRHZzrByBJvfhe67I453jnk5/ktTfe4Od+6Zfo+57FfI425tK55xENn/M+uApIqpVw5xpYvAx8DsBUWh2/gKCG/+MGUD68J9L5GDxHa1dludh6++nSbASeGUvOyMMuo9Qy8gsO7RIVc7a7bY5Uy9gdME37HFXv4XHEBCk+IcQJIdxm274/7MLawJGKjCjYlxFl6nGpoU5zRibSa8tHseAz+hq1BB7oln0sTYwc0RBUg2ARf8AbZxpnO07yM94rC1IcI/0+1+MWohd0xR3mmRA7w62zEjXO6UXTBYtngteRMGr43/ynf41vffND/v4/+jqvvb4kFh13Xmug38MsI6OHT+jzHDBkXYZ/+xCTAvvvKf7RP/sH7L33Br/0v/1P+WRxk1JnbIcTTuwcmylecZFHfYlEzWtxxGJh6EwiVg0mBgp/xk3zENOMcU3Fo3DCtIKYZ0xEyE9BAtSNJYuCyTzttCW2J5jYI8dTbOdIYejwrmkIKeLU2xh7hlIdbTsdGMdZoPtkQ/4gYR5pHsiblPEUG2t+xA5cW2LGLa9+1KLuQ1SKB9kJaQm+TuTxPnrSISXkRzld7whmQfdX3uDk5j6FKTAPKozaZlodcDZyPPn+t3n8x1/j//pf/g90TyJSa3oNGENjNHfse6TWQjdlsr1HDEvyu3MO+ind2DE7aKmPEqY3aGd49E8jn/zSPru//vNM/s7n6aXmg/k9olPkEimLSNa+glOJPnfcbHNSrnATRbU4BSqS3uLAPACvkbhPFUqyaBn5jLY+o8kMbanQywq8ZjsKrdaDMSQ5YwtWQRmEWeEpfMbW6T6ZX+CiRce3MbuHkBSp2+OouovVLXu9MKorghce+YbenCFKKNUuWebJQk22DJzagNOORXmPyo1QRuiv9Wy5AukN2bLALBKOnna351DvYWLFzWaPngafepbSsgwtSbVE/YBRjChJHNmW1Cp0W/GGvEqUBQ7Hwl9nZjJqm7g1eRcnY/pYEBZ70AVKH3i9HhEZ4SSDyQlnC5j1OXO3RSaOTDnKZklfOfwkcn1e0VXQ55FiNjCJCIqHmZCZhizveFxNybTwSoD7eUCZRCw8D2mJrz7mtVffJ36npxFDn2ccvHZAM2s4O37IKEXGbcENNeVv2X1uZSO2tNCfjdnLI1sVHM7GQMSoHhdPyIoOuwsnp1Myn3EtBdotM6zXBK4nzTxmHC6nTPWS0hvGpyMsc5Iy7Lpd4j44Fah9JJxllFrzRlHxOJ9z1nfohWPbb1PEgIQn2KJFSk0zGSFPoOwLxnGfZXaXXhzHZPSqRPWwP5/RlwWm8kxuzdlejPB9YlkuBzvCQtq9z2h2E4n7zHXAdAZw+OwJeTXBWMVN09MfF7jkWd56gtN7GGeYasgQkonMd085m/X4HooHFZU9JSOQH70zaAbqjt1mixQUnTisLOiqglBAnzXMm12s1xQ7S9JxT1d7Tpmw0/Rs9Z6j8SEuHxOlZPT4Lc70nJlZ8rZqUaEkJMOZfkje5eh+izMZsbc1Z8s8Yfs00nS79HEbEqg+4ZPnMNXY5YgboSLLFsz6fZZuRDn9CEkRGoXyh9TjAn7mHX7pv/hf8Ylv/IC73/0R/9XhezTLU9Sy4y25jkuRJY57Wy0+eVIfePX4Gktdc7dqOQmvIQ975OEHtDvfpumEdLhLfnxCMW4Z3fyI8L6nK6DZa3mU9wQtoIRrKtA1ipPDnG6vozA1U1oeWotdVoy/a3n86hxfVMjDA17Xd+jIec8d8Ep7QqtaHtiaV5cKHTQnKXK6J9TXW+TaHT71mkG/q3nv7v7wjEdF11ew69EEivohj44glhO61/YRDKOd27yeKlRsSLpjmhecxYKgNGURmbsZvnXIoiTttvjkOH435zf/y/8fd7//fX50EIl+n5QU0dyhJUfIOL7eAGO0Kxk/2WK5b1gUHQv3Pn/z136Zz3/qc2y/8zZH9hFzDqnLCt0brBcmVWKWzWmjoNo3qXRgROKgfZvHNrLMlrzTlvSU9MqzyB3jOEZSwRPbMvGaPGS0jBnCzCWUP6DTnqXpuK0jLT19VBymnK1mj4NoeDz6Ibv9lFG/T58/oDUzWj1DSc5WmJCnilbNKNKYm2H3Y9dJP4b73grgubR4vWBmfBzl/kXHrq5BL4z2p/O9EDtefQyc8JVNtd4WBeRCyHhYb65dATeMQEnnjCjvI5P9a9zsPZ955y1++NE96q77WMbUqiFwXcvs+Anf//Y3GeU/z+7ODkZrEomYLjSfNi45B+TWdVu3MWsQY+UuYrR5bjkGQCieGwkSnx/x6E87pZRwvaNrO4qipCoKCgXf/M63+OH3vscPv/99Hp+c0LnBP1ytGT5X0lV2ShoyhxQZ5wVbuyOq8ZibN24yPrg2ADaJc7aciKy4PhsCyi8wKy79tsZX1h20AVhs9t4mkPVx4/0cuOUi40031cQALq37/fzKNSCwKous81obSildluJZG19ro1m4/HBtgLabANj620WJIymt9eI2+2HTrLtivq8etIt6bdx2/eydQxLr/9N5G8tGjiTOGVNZUbA9nXB9d5ezx4dc6hRWPZEG0EuUZjSekOf5gKuc9936cwWTrC3X8wliPWdcFHz99WUZSuv8X8Zt9mWOvwi4elEez7zHU1W40oZXG4rLY+ZZd5J48fswFjeylIuPdXS9y3126b9LgNQL3bWeAp82gYrVE5k2+0EGgFwEu3uD6+98hpSV+O9+n+PTU05nc2bes3rRXMIkLpdDcM6xqGtCjPzJwRQ/flq3pVaKIs9WUV/D5XOe1YYbYE6KcWBQnr9zrgCeq0lFG0PXdZwcn/DNr32No0ePaZv6Mnj7ghRjxBjD7v4eb7z9Nq++9vr6Dk+VU9Y7SZvleBmQdgPMF1ZAPusRLucSAZenyasz2Vo/iot5dn2dyFPrk580FW6KUQ6UxyZDxNJIToYmSMSpJaVYSskpUsYIRUwlMWQ4PScNMfJwyhBF44mYGDFRkGipZYGjo8cRoiJLwjQaUgKDYyctgIRFsZs0SgbhU6egbkaoWFBKNWggocgwVDIAM22/Qx4WKBHmecSliohBFDg1J6BoXUH+2k32YuRvPnjChw/foz5z7MWK1vWELtGlijAJCMPmkmoS2iSyg8DRGdQfnZB/6/fY+9Qvc3MyZReNmI4okdYIOoIiJ5kRSkEhMOknqBAx0aOVoTUlXdJIhOATScaUtzLiY/DLiDERBaio0L0G3ZEKRXNjnzjPUa0jjwpixEmLyzw69ZgYqFJNX4IrI65PeJeRgoasIUrAK8F7i7QVYKkNqOSIeHzRo/sK7XJIAdN4JARCN2UUhmiK4/kU5o523HBzd8S0GkPIOPr6V/j2H36db/3htzg6OsUh6KmmnEcc4LSwpSKtNSxjhYstMQ0iszq0RPF0hWcaEnvTKdeu7VEfTHjlnTHuemDhEioGpO8xYYcUhS5GLIk8KSo/os0DOoNcKqzK6cWyVCsdS51QRUvlFDoFkvKECC5qQFP6jMwLeXK4siAg6L7G+zFaHFZ3qC7HJ01nPToklE6UVSIZjXhBYkT1glE5eT9iKQGnoaUiqCUmKWy/TafmeDx5AdE6gqRhU4spyltoKpIzpKBwqiHoBEmzFUoWphu01foAKSB4OvHkKqHRpDajCBlGhE46enociaUKQ5Q/CjrryGJCewihpFAeYo3zU6IkehOxKHqdQHlMiMTUApGqLxBxYAJOC07J4G6begQwYmmMxoaASj0Wj4kJHTKU1jgDvU7ETgEGFQ27MuXGtevMP/0a7965R+iHdVp+5unbQCRQ7wguV6iJJRvlhMwyM0KuEg5h6YVoO3ISIwLYnMYk5glMsCTjWeSBomhISRN9RmNbnAgajYsOYzV9FnEq0iH4pPFdDzpgVSKttAKC9LhSiLmQVELXDcFH+hSIRURri2mrYe2qIZg5ecqBnMZoYu3AR5IEEg0xCLEtaRje9WU7xdmauFrnZlGhgtAoTSYdiCMoje5Bp4jJevqCIQJvyNHJY1JHnhVIrwaAK9aYQoEx9G1gmRucUhS+XSm3KFx0wwtKJcZSYrxGRc1ur+m8I6gOp9IQrVAHCuXwWSJZoTCGTAdibOmVwRU9kg3Mz6wPmC4wWeQoVYK2FE2HLyILLZSSiCqCiZR+iHDnvGGpEl47kEQZBKN6bKaxbkRvO5wJlM3gstwYj3r1dbbEUO5P+NUfaB6/v+Tkg46ZXtJmQpNv4fqWqBJKJYrQ0kukjQY7G3ScGz0m5iPEdijdDXrSrZCSok5btC4S557gBq3EpDR6GdAOJAimNohLOAPReHyEOihcmyO9pkwtQXJ6m+ErwTtHTArSLnUUJNO4UY+kAaCyIlQOipCIEsi3PF4ZOqdIvZBCQiQOou59QC9qhgAVNX3s0VSAsAg1knmsSWB7Uh8hGbSd0PoTnhzN+eo/fcjdO3c5XS5xYYRMWowktmeJJSVOBJ/X4CzSG0yaQZNTWM0XPvM6tz+9x/TNEcEqkjIkMfRoStMjMRK8Hu6ZFIVyOHrmOErAShiCDqBYGqHRORIy8hTIYg1Ro8MQmbOzHZXPyKPGKcEQUeJpyMhCTh4Mp7Kg1g1eDXIWRoE1EacCmhwbDWVwdBKYKceuFlrx1PIn6L6nZG3MrQ2MtUbT80GFq38/m0W1NpKfvufmdZcMM9L5wnmdSToPbZfOF7dKXSw6LzLd/CqI1qQU6dqe7a1dDrThF7uaB09OaLruhebH+aJZhhdmPT/jW3/4FW6+cgtbFBxMxnS+HwCmFYtEeNp4XSe9wYIaDCONViuXkU2A5koZ1uW46gbxZ5XWKiUhePqup21aRuMxVWZRruMPf/d3+Nq3v8v33v/g3F1DK/VMI/NFjDqT4GA65RO3b3Pt1i3KnV3KvX1654foSOdG8aY2EpeMHWGlqSwDoPFM5s0mILUaTkMgSLlwbdkwqBVrHZJ0ebCc4zWXzb4LHGQFkqQLpsrTboarHM5BtwvtnHP24BVw7zJwexllG1x2BInpvC6XGVoX908JRG0Iz69cujafiUuC7FfcsJ5u2EuQz1D2VYZx456wMoxFKKqK/d09bl+/wQ8Pj4iboN2lJCilqcYT8iw/B/kEOI9UL3LOVkOGSHDnGPXVz/WfPyaw+9MAwT8NoPXCtO6jdHHgnHX2rD47B+s2rrnynKxs9uF5YmhHSfLUOQNQsDl3XX4XfFydz12zUrr092ZR13mvgbG0Aqa01qQQcD5Atc3eJydce/MTbFcj3vvhD/nRe+8zP50R1YppuhqH52DNGqhK0DvHvKlXumx/vklEMMYwqioODw/puv7ix+cx6FixI1fufjGE1bNx8c4475M4bHJYm3F6esi9u3f4g9/7MiEM/GH1jLn7WWVMKWEzyxtvvcU7n/4MB9dvMF8Fn1i/q55z8Xkez8pzXR/WYLfIeVTQYVinS4/zmkGaYjpnRG1iopcntM2vF/P9hX7fT56m7S7JdmB7sqjoJGephD0x1HJGo864wZQKS55gJ+akWJLChIfZHOiBmkZneBFcSox8wgZF9BnHZk4Sj0rgg2GSDLeCZZHAiOO6zDlUCZs0U7E0KVIrTzKeM3eNwlumSXDlA7RKlCQKmdGlnNDfYJv7JOU4HiVMN0KSQbSn0w/wIadudqhvHDDZEv5udcb/7b++y+xhx4225DgcskRxKruo7ROUBKQJqDPBlAr9iqP/0Zizuw0n//43+Oz+LrvFm9zUJSkuaZRnaTWZT2QCgR2UDkMko7YCD0kiLh8xt5EWIUslfa+JMqd4uyI0Qt96cj24mxGFrLN0ZU+sYPFWiT4qMHPPqFck3wAd7bRF6gzbKQ5kzmICy7HQzzN6X6GUpTCnBBI+KSQYmBviQjgbJyTWJBp8UWNchnZbqNShnEfwOLbYU8fcombrQYeyDW7c8MbNMVu2pF8mPvyX/4rf+f3v8pt//AEJ8HuBbtuzd5pRixA03BTFsSloGJH6h3jdEqwjtJ7eQGOFN9B84WCXn//SZ5j/coaaTOjLjtPHSyppGCePShNc1DQhkKtTilQifsKH00NKDVNGWDUZokHalkwSWntsGdjtI5I0rRZcLAc9HBRVyClCZFtaTssSnzzazen662gVMXKKqkuiSTTFEtMnrIZyu6eLGnyiSA3TVqHJyNwBMjoimkgXxkhaYDzk3YSZHCG2ZjpSJM2gsxUjoJFQILMtfBxcMCVfgE3YmLHrC/riCY3qWbqaUiyI0BlH5SELGqknFGZCpjUqO6RXDb00HOkW4h6RnDY7pmyE3Gu826LSR5R0zPyYzgZ6HRCvEBtAR7I+0aeWJI5pO6YrIk47ukzjvQKv8KlDxRwdc06NJouOjJ7CJ4wv0L7AauGxgWOdUHONkGEk41YsCTffwiXPv/nqDH/aoBqPflAjxpMyWB4IsqXp9w1xmlEXhqUWbmaBGnjiNGU5o0yKadQsipI6aU6d4nZKdHlktpt4VS2QOMKFEcfqhBgC1itcMmA1VI6oPC5qOgf+pEWbRDFWxKhIMdCFGj/JSblFjRXJn9GR0GLxJehgyE4qQiY4U9OpIybtPmARI0g/J/mEM4JONeIy/Owax6PHGDSvLA/o9w+J2kNjsAJGIkUUCj0jScDpCtsmjPdI1RNGPQTFZDGizFo0npRl5M7iQ2LZLyjLHXxhOU4drsopVKRyp9gOYlDMpUabhGjFlmzheo+KsNtkPDYnLPKOnhHGOGzm2ZKGs5HFZZpryaJ9T4iO+3kkVh2Se5qk0fNI3nl2/JiwlRNyReofU0fNUuVsS4AsILqnbCMugkoZyyzhbE+QnvFSYbKWwnRk831qu2Bhl9w8qai7OUuzJOzd4vr+Drc+f5v/5Z7hR+k+33v4gN/oH1BPJ7jpNhw9QkyCTDB+RiaG3JWUJ3OYblGP9hC7j7GH6Px0WPvXBneqWcguPgRoWyiXoA1J5VC7gb2fgV1kQKLNEkY3BBVZIPjliJGPbMspXSroMgu7nvpOS3AlSm5wCpB3cG1G/khjXYZNOdlxjz51ROkodzw+V9QR4g8j0iVSvlpLOIc5OR4WiQcTlqFGyzYicBKO2c011iaCcoBBSY6tppwt7vHBux/yW/+v3yYvlgMwOZvC3gnWdFy7r3gcKxZaEeQJLC3iBMUhUo/Zmmzzt37hC8hndrD7mm7uELFYAR8Nyi4xyeGbMSrl5GjGtuYk1XSpZ0v3FKLJkgE0rYWFyamcwcZTRrGldFMahEZBk9WMo6KMml4gw0NyPKbiRpiw5TJO9BFnWUdEsY1BdERUi0iPTiOyULLdHXE/g6OsZx9DI55DZh+7Tnp5TalVWht5sjbuNtLzDIznaYRIGqLqqaTOrZ/1+vBFRpkg58G71ovQ4dqBNTQsIoVLOjZsAh5XAQCF1Yr5osHqnNtf/EX+at3y3vvv85VvfBtjzFPG0KZQucgAbpES/XzBv/vN3+TuGx/w63/rbw/6NininUdvLMQ3tTDWkZ5gpfOjhih6SSuCViSjn2vsr6/33mOMQWvNcrn8qYzjHzutrM+2qdne22N/b5dR6Pjdf/5P+erv/i5f/d736X3AWHsBgLwMcCaCcx5JCauEv/0rv8Kbn/ksb3z+C7iUCCkSYyTGMLh1PrPOF+DO+lcNFwyhi23x1dkboMcGkHKOx8JTtoxwYbwnLk68Wsf1EzNECVm5UYXBrW9teGu9dou60Fpag1AXVlE8v+HKg2XFmFr/vkJ61sfOQV851zpbA8wizwBmNsp+rtuyum/cbJdN43Gjzj/O2LsE2G0214rtZbamTK/f4PrtE/Q3vzVEYHlW/kpAK4pqhLGWGMJFp62Kd17MVVucex3Kxli4KNjzy7wJkP8ZA8A/aRIEdQVPuQTKPe+6tHK7W7HznmZOyTAV/7k1wwps5dnR30QNrny+rQfBVGV49Vf+Bq/83C/yF5485p//9/8fTs5mzJqWswBdCLiVqP4asLNKyIuSNN0eQM0/p7qudZOyIqMoC4rMcvf+A05Ozwbw+EWg8Pr5lEgikkIEGSJWrsGp9T3U2uUc+MrvfZl3f/BD+r575nvw6dtcuOy9+eab3H79Nf7KX/8bhBhZ1stL5z3r+9X6Xpy0ce4GULrxOJ8jpJtlTBuTuKh0cc16OhUYXItBNja6Blb1xT1Izx5fP066yUfcU4mHBm7qCdYnvAeXD2LeY7nOUXSYqCnEsKtrjBJEVez715ibBafZGUkJJmnGEfZ9ifIlKZRMRhNMzCjdFFE9czPj2/kdPj1/G6RiHt9k4hO1PeWBfcCkPmDHKV7zgW7yQ5o44cS/ytznZKrFqmN69mgRWjllXjSUOPZ95G52Bx1K9vwWMRlEIuPREY+aOb2OjH/m0/zn/4eW7373Hv/1b7xLjGB8z3b9CPvRDrHIqV/Jsf1DQpt49zsHHHDGVPc8epD4yu98g8M3an7pV34NX1TkGF49G+OzY5J0uPiAsd7BGXh/50MO5iWFV3jVcsOPUGT0+ZKoSmbVDh/eeov6Rx8AZwA4NwajmL55iDrU+Eea9M8eUV27Rp7dJHz4LbSvqSRwK5tyGgKNRO4XBb0GHzQ83iFlJ4TRnK55A2tO0TJnGu8SsoyUGSajlvFij7y+ges+5EzPmectbZNxJhOEPUJa8EQFWtFsffUBrxWf4/anP8fSZ/zRV/85d37vd/h//Hd/hJy23O7hbgb6RGPPNDaWaB1IqcfNEiFpRArIBDFCKuEHWWLLwyfuGv53v/4f8dpf+Rw3/sZnmR8uCW4QqBXd4aOhj1uM0oI8RnzyLP11Yu6J1TF5a0nJcUqL7TRkkf28Y0pAt2PS7BW6oserBtef0Y8DmozJYpuQwXzU0ZUz9MmEQEaX7ZPckkXqmdFx0+yw7SM8XiDbE7rMcBwC9jRiY48anVK6A5TXRH/M9eUWixw+2lqSx11i6Llrv8e+OiDjgNZH9juhl8SHmUNlx1RRM037LPOHdMmjF7to5Ug68kRbpn3JNpZeF/ig8CGy1bfk9gitLd5NmPmETi3jakanC5ZpzPj0Bq3twbS8kxqWMVIn4Wjp2LMdI/HkfobWFagRS5aopSGLGSZP+FGN0z2Lozmq7ch7YS++RkonwJxcZbTtiNZntOP3hzlKDE/Cq4x1y0gt6LrIVu3ZTZGHpqSIYKLnsLpBfvSYN2caOeug9UTgTt7SaUene8oHJTGUMBmRZdfYsVDo+yykxptIlSWqzuLilIdpm3rygHFX8Yl2h3lxlz53KEmcmF2Cc/T+Hk1bYaNQEplsZUhvCI8CjekRFGWELnVYn5PPt5CRJ3MwqYUzG+mko1mesaVGxLHh8dgwOZ4TI9yv5oz7Y5QXTNphnkdU3nIDz31riVaTjWoWSaO8ZUQB9Q0kKoLPmC2nuKLBjmc89iOqznCts9RUdCoS2UbEo4lkywmn6YxWR7qRYU801gnLWpGXGmUCI+lwC4/CcH3XM+vnRNfjRi02TNBKU+x1NGGC+JL9+ZjenNGbjqPrsH06Zb+NHIXH7PaWos9YWsi6hOoji7OeiZlgdU5uF2zPc4qzklM1oosdrgqEcY5vG8KyoxNN5ytCZ3GmZRpqrO/4wfaIvLMUvaakpQqCTZZHviLXkUon1JZn2wUmpwlMYNtP2e+mhHSEywrulfts/Se/yi98vuHnf3nGZ3/3H3J0csST2V0+KDT3WsPdueKRa/AmogX0KycUBWwtMz51eMgxZyxv9Zw+zGh9wUKmbKW7dFiWjLjedSxJPE4576cxstvBKx17j18jdD2NO8b7AuMDo76h2+toSuF+BrffbYldQXyUONlJ0AfSaUNKNcwUUo9wn1sS3oikieGr/+hb/Oj+IXVj4SMoCdzuH4FP1MnwuBmR5z2yHfFvesyPDFUSPtEbZLemzwO675DlazhtOd4+o0qQS2JSHPIPvnzId7/+hKKcEV6JxDIi7pB45umi8OSdkt17ip1auNeV+NsQRHj8o2t86X/+WT7xM29y8PlfIRRzUt3QNEdM1JixFCwITO2YXDxtMGSSgdb0NjHCUyVH7LdJAkEST6Rj4nO2o+aMFh92mEfDw6xhGoVRUnyqnpB1Ldp1mHyHJ7YZhNP9NsvkiLqhyZeUbkrhpoguCXpJI494P3ZkOEpmpKVnFCdcU1NyP+KWtNxQ7ceuk34sUGrNqjiPineF2fKxeiZXdz7TCizaBAWuGLzPzW8NMqzwrDVAEFdbm8N6Ml0sWlc12KTpXzbih7rFlOhj4vrt14kIjx4f8vj0jN75FxvbGzv5i7NTHt+/x/e++23eeusNRlWFxAs9qUvCyxtteMG0kXN3P1HD9wtERJ65G752lfjzTCkl8ixjVJUsT4+5/+ABP/roI9reXexoPyM9m0E3uJlsWcvO1hYH1w54/bOfZefmTZLRJO8v73Cvt743jl24FG24cl7cgatHNjK6cuTi+rVJviLenDMpNq+VDWbI2tVn8/7Cxa7+WlP8vFuv3n4DWFqfszaShoG+NrQ2xPOvjO9zN5ZNNsQ6o03D7hltcNXh7lJ1n2Gj/ThMvQuwTy4dYw0wyMpItpasGg3siiuuSqvanV+s1AWAe8nhcgXADaypC8N2XXd55niQZ369uOtPFinvx9WDepnrLm0IDAcv9c9F4MPNe1zU+UrPnl9z/u8pKOqpB+pj07Oqd3k8brjQPaOul9tnDW7DZi+u7/P09avRlsAn0OWI4toNfuYXfpF777/HnQ8/5MnxnLAhnn1eYK2wylAUOWa1sbBmTL3ILfhPI8UY2ZpMmYzHiCi6vqd3Dv1x4uAb7MkQAvVyMQC3MADkMoznFBM2z3DOce/uXQ4fPmR2enL+zvq4ZzvGiNaa3d093vzEJ7j9+utoYwh9fwmwfhErdp3Ox/V6Pt98ntMFRHS+EZDSBegsFz+erwNk05F4nd/a7fPq2uByHj/BcH8qNUqDBAoiJlj6FPGSqBBihJ6EJSASiKql1ZEqQBEVxwqcWFTKmYRBAFhHQ20dRnky34L2BCwNml0sbdKEBKglvWhmKrGbLBJAVEVBhejIwkTyWKGUEM0TRrZFqY4u1dhogIySDJUiEcFJhRJHEmiwFAxTamMCeUoYFD4U7B18ireXE/7yOwu+8V6Hax3bcUSdIHgHdcK0gRA1flriFqfQCTzZYvGDBY/rB/zo5vvc+PQeWVUxU5YseKIKzLNIrpYkEWJfQqpICnq9JCmHJqFJ2CJStDXF6eBS5ooITUXIEmIC/mREVkdyp1mmnHHtKbrAQ1eSo8nxaOdJOuA1mGaKtD3KR2LMqHyOSYlO1VRZT6YDZzFQ4rAh0dQGQsDphohGl5FR3uO8ICEhqYNRSyTiEyw70EmYamgO7/CD773LH/7Bu6QOAgqvBq3I6C0xWhY60ADOZ5yUli4kTDij2PV0ovCUvFoKt6sd3p7eYPcXPwWvbXGS5qRgSaKJVoh6NcyD4IsW8RHVJ0gNRI30BVoN0bFCiGilyVIi7xw+H56fPPWI9xgd0GVkrAaWbB6FjmFzUamMXBQQyWw3eDgkTQya3LQokwiVGsSGe8W4K1F6JU8RMrzEYSNOLJ1tSDawq1pgBHFwJSn7gKieZemwC00KmkwK8uQxKeGoKXyJTYJKBa2xePGkYDGUGAJKZdjoUBG8lKTkCcmTSHiVCErwfgIpIgR6uyAzESseFRWZiiiJZN6jACcGhcLEOETLcpYlLU7X5NLTx4RHkeMg5agoBH1MoCalQBanhJgIoaP0E4zq0TYxai3ie9o+YYtA1husU4xNjwJ6NJJ1pDInjXfRvSJJwhceXwk0GXldIngmnWVnUdGknoWyRJMhKFTySPLDunX1rrCuAG9wKZArRUoFzmXkpiT6DGksLrXYmMiiEFqwLjKJHXWuMEGYdB6qEp00xvWkzBD0sB+ppcP6gGoyslThVu8tF3K0aFShcVjER6Tv6WOFcYl82TMKQ1Q8HXvGQYZz1IypzUgkZv0cGwXVmYG8kNc4E5inCesFcdIR7TQ6QZCWzAybOX3r8SYgUaFMoo2CdoopiuQ9QXck5bEJCBobFG0mRFFIX5EFhYSESYOeqtIBpCaTHXQqGC+mBFHUORB6zLB3hKDpLPRZZOIqYIjE2CmHSz06BYo4IqqCYDWTIlKRiF2HdSWaod+89hQKtEo0yhFEMElQI0evDU5rlO/RXmPCiLmFVoYofZMuw6nAUpaoOpKNSvSbBbf6nyH/4YeoH37EH9YnzEtHGgXKSmhaQ+8tp7llJ9PYXjPamnJ26uhqt3KR8CjTEBJkyZPFhk4LOkX2Q8sMS+gy0olQhwUxJpzLmNAOG45GozshGCEUUGsGNuK4RgWFDYmcM2oTiSu/li/c3OWTNyeoSc3jcMLCn3FAj+mHyN0Ln6P1wAzfCT0qaGIN7nFH2QomRA6J7NeJzFvG7gBiRRQwXqGMwvWJ+3ccx995wPyHD4lhitQLlHeoILilJYhQ6wB2jjWw6yMnrkGV8Mm3b/KZd27w6usHlJLTpmMCDZhAp1uCeFQIgys6BqMA3RK00FBgQomJllz1ZFKhMPSmxmLJomUpLTY6dIwYpciTxiZFLUs6m1BacDrgRSMpZ5IybBzWTVMFuSgyGcg4EhReMnLJyCWS68TSbKFUZCsuUCEOG51r2tkL0sujGBciIisXmmcDUs/TP3nmAvTc2FktEVfuSJfN/+cUR2QwMNegw/miW7HW5VlHHhtulVYL1AuQ57xIq3tqGYS053XNwauvU5QVi6ND5t/8Nn3vLnajr9RzMymt6ZZLjsID/uArv8/O3g7lqEIrtQqBfdEez3drTIjolWuFGgCqdb1hJd56uRxxZUy9VOSiP+G06VqYZxnjsuL0ySEPDx9z9+gYm2WQ4gaYJs+8fvOnQSsscnMy4u033uTTX/g8t7/weQIwXy7ONVHUigmxBn4G4+GycbGOfnhVZ+cCCFoZK+fF27RGLoATWd9gowYD4HMFELhUr6fHid5g7A1iwfF8XKyFw9fAb4KVK9oGeLICpFY408VYOLfSLp6hK4VdI1qDYbZqg6fBpbRx2cp9Si7/ts5lSOq8vj8p4PL0BcNHCBFRBpOXK/bG5XzOMQlZf9GrOeAyCLIGpGRd6U1gao0wrj83qylX77cxp/GTsSee104v4xL1vDyuAntrsOYCjLro66uAkqSL5lgb8AND6gLkWefxvPJ8XJlfXLe0GvtcAmEvgWpX++GZgOj6twudqXXJZaNfm7pG5zl2ssPP/9pfZ1pV9KcnfOPx8aB1YszlIaUU2hrKIsNqPUT4+9ia/8mmdW1SSuzv7rI93SLGRO88IQSMMQOLcCNdbfMYhwi0wQXmszOC90M9V++MdX/bLKNpGn7wve9x9PgxzXKJMealxucAShleuX2bz3zuc9y49QrzekmMFy7mV9cFH8e8Wqe1G+j5/Cir0Spcdue/NM2n835cj3NWc61ihemntfv/qp3Val7nYu4dfvvpYKlTXYD0TJNDu4KoHL0O7CZhGSOLFBkrDXiiWtAoyILCRM088wQx2DhiP1pUNISg+WB8TBE7tt2CpFpcMHgiBwg2aUywBLWkVYEz7dh21RANiS0qGdNax2HhuLWcADViH7FdJByB09Bj+w6TJkzTzYHRLYP2h9FHBDrO1ILcJ6JSzDTsMhhifplTjj/Dm6/s8f/n7c+aZUuy/D7s59OeYjrTnXPOrMqqzBq6ursaTcyNBgkCICSQBIx8oEmmB30JfQmZyfROPVCCZEaTyUxooyQOIgZhIAigge6urq6sqhzveOYY9uTD0sOOiBPn3HMzs7oa7Wl5I86O7b59WO7b19//a62/8/0zTj8/56Tv2Q/3WbjH9NLCmUJ3EUqHeTOn/VghK4v0h7SnNWenT/j9vX/L/oNvI9UBLzLPUe8hCae5ZcIcGw2mvgeMiDrQ2TMaMzAc9nvIy5ZJfc7e8wZNhy8jrEYwXoGOtI/3OGBFpoW2GjFrGsrk+UhNqBAqekL/OX4M3jrsfIZZXaB1R8Qw8iOqoDkrz5kWniILPFMwbYRplzjuxjRZj81qVDLMxoHZJNAsNaqt0dHT7ytoHNJYFsmiDExsR/P4J/zoDz7m//svnvPObI/zBKcyKEopZXhfcV6eEoLFh5zjwxzbt+TdKaO7PaoviasR39u3fPjWN/jw/e9j/uw3WJkFL04/Zdq+jnYWMoW3YEWRA75q0L1go0bJJVom0OxjphckGRRJbXIySUwazxOnyVWk0pdk3pCMJ4wF5TUSFVolYvDoKORxRGUVWgWUa8BN0X2GXQrRLgkZ+JHFLXtcpznsCvxdiCjCRUmXv0CriI57LIvn6KzlgRJqRgiOUnJU2+Ntiz9saJcZhIJKRozI0XgaNWfU3cWkAkHoTUavFLF3KCqcipRiMNGTEFo7IaQ5SBh8ZVmNKEPfH6LsOVq3dMUxE5UzEkPyltwmShJ5G7kUQ6sNFRYlEWIEX3GZn7BwC/YQWj9GpOA1IpERSTma4id40UjKKNsRgQWBhlF3BMUclTVMlWHhNXVSmJkgJgeVM82fUGtNrS2VWdGNc/q9+xjvwNaEKmDuG7JnJdnZHn3xlFmb8fplxWVcgS7xbsIBhiiePrWIqrEarBFoJ6QoLOm5YzJUyunaCaNMI96QNZqYf4QToYyOywVkRPbwnI1ycp+YhUga70MMpOWKlE8IouhVxLBCeQP1iDyvkBihWeBjjnKWMnd4CqTrUH1Dm6a4TihqYYImGcH7lpEvSRJZmjOmo306FI/VkrthHxUM88ai7y2JpuM05UyJ65U/Dqa2RHq7pMgCJkI688TCgzHYTKhbhY6aIywBj5hAkkgmI1Rw5E3geF/TG8PspCLTDVY8RjRoMCbhUo1hHyUl4/khZ5NAnwX2FgGLQqNQ1rGsIjGH18/2uVSBpfbU7gKkxUYYB4sYR8qE/cxjlnOoW+oww2iDGNDqglwLhRZeGA9KYRD2ywUrGdHEirxuKUKFSSVLGwiuBXpGMqM3C1YsSE812DHqwYQHd38T3IzmRPPpSWA1XmD2e6aNITyzLE5zXrgKlxXsOUN+dAdZBFZnDSAY06N1T49lHAN7YckzVzCKiQdpiZd9mlVGt3LMpycQMlQ/Y6RXBAsXWYZZDe/nUMClEVIe0Qcr3NOMqo/sqQvE5QStgY4///oHvP7aPma64DQ7o7WXvJZ6YoS55DyVMYWtGeG5Jw19mBHmim6emJiAiZ5PJDC5gNKVVN0+SyVEOkoPZIZlAz/5/cjiX39G/PgxMTzEng3RdUETG0PMhDrVrFxD6YT3V4ZVEygry1/5wZs8eP8+s4d7FGcBb5ZEuyTLM+amGaK7+oRihBaHM4lglyQTWUpG6ceoJEzKx2QyQUlJndWDY/RYkOkFeWqxkhiZCWUyZCi+sOfgSrQqUKkjRoNNFftYJA1+q442+IQGFXu8KIJUzFxJpnucCpwVd5npZ8zkOVFWSJyBnn3lPunfKbXmJiPopd/NzdPXXWVxvUkcNKWXNq4DaHEFLKkN6LDDkpA1kLb1SbI+NU3rDezG5xQbPztKDX5FknBe12SjMX/xb/x1PJGPP/mMnz5+jrMWvmwjLTIoCCHw/OOP+f/9j/+AN999l7/0l/8S3WpFCuHK8fmNvlHqOitKyeDUWt981k0zSKWIMRJCGHyj/CkDU1vzSQGfhC4litEIl+UDkPcl0aq2bWcY9iRC9IGHd+7y3utv8Nt/9d9nfLiPnYxo16ftWikw5rqScIu+sLUw/RJd6iZw8ap7rpg0u8fwryr01XdckZl2QAR9dWavNky/tAFoNz6kuALO0q4z9OGb3qFZ7TZ3jUFtp9TmU6ndC5vK3cgHWzO67cXbWG0qDSwEvYnat2nrlfJ5m1nfq/7eOKwXhrHu+57FaokPfn3thk+bNYApMeL7jpQ2kfquRwZlB4we+kUh19aQV4zaZg3aUO+u4VZfDUy9Cqi/9og/YTNAvZWZ2yq0+bgCrTbik7gCJ345FfzLQbRXZ2LbxYOscwUe3/qMV/y2g8lu2ISba0YZCAG/DMxnU4o33+OtmHj7csnZxWDKtyEZO+e2BYlE0pah86fLkbrCSBUPHtynKApenJ0RYvwK6dspY33oIykR+jCADAzswpQiymiqsuDi7JxPP/6Yf/oP/gFd23wtH1IA3num0wkPHz3ib/ytv4V2Gauu2wJSr2RM78yh2+bgAJLuyKNSYDYysq6X3gBMu+0dfGGu305s1ju9OVRjeN9smNbbbccOkIva7A24+uGPmZ7rJUkFkMgDNScnkUvgMlP4BCbBKDhqt6R2K9TqPUosYoWpPSdPhnEsOLE91iRKq8kZY90KKb5gEgYnuWQ9P9NLrBpxV91n6TV5FD6MiXn1mFYrWhnxefRUoeTR4oAw/hRvAkpl9O0ElTRTBEk9vTIkE5jFDJcydJiwkDG1CXRlw/NscAptpWbEhAJDRuIz8ynlXuKbP/gz/K+fRv7Nzz7h7/3sD9mrE4WznN8b4wtP3rY8/KOfcXIn0u5DWvyc8u4eIsK/+Z2fMLpb8M4PPN/5/vvwZIRrHd++qHg2+oxG92SF4jgGtCT26hkj9hCdcepazMIjXaJ4P1IcO6rzDtc9JuAIOqdD84IRmSTuxi/Io0cTyfOE8gkviVolQrcPfYkUzyl9i+mhoeMcy1KPuTtpuMiElRGYKk7DAfMw4t17TzithIUR9n6SaBawSIPvxF7tEWyG2n9O4QNVm/iiOOKzSc79Q8t3745J2R51M+NjdYns+LOztsGYFhCO9lumo5qPPp+QRc2Yisufwjd/9X1+8Ld/nR9+8Bp7exMm0xHh2WNsVmDGr3E28RQhMmssY0qSzglmgmvnRNdQH64o/AIfPU0IuHKJC4EyKsQLKeWcp33MRYUi4NWKx4eWIinuXiaWWYu2DeNiyaXbI+typueKdjIf/Dxd7oMdYSNUPvDEzmnpSdKzpw+pjCKX55wwJmWG6qhBL/exKZC7c7L+HuItehVJpkNsS5wmipBjQsHk5CEmnKB1y8w84VwCvVhIB1TZOaIiz5Ni1GZkYnmRfU6p98iTJVutMPmSZBKjqFlkNaISR2HCXAyNCBc8JtOJIzSHzw54Oqt5Uda8ZiN1KEipoMygscJcQbcSnM4wDvTsCUVvce0UGw2TvMZkl5zuHTJpLxh1kWyxz4Xy1Cpxbo8JeYu3gUU9xlzmaDJO9hqKxlN0imVbEUygnXYsM0cTc0IsOWzuoS5PcafnFCy4X88o/R1QDadLx4kyBNfwhJpV3/B2Doe0vNEkmAtSRZoiMuYeyijENEzdObYf4do9THFOrmFMzhMseebZ2xfK+QRnCrLxFHVpUPQsbYO6HIKFNCrhL1piSoQ4+HDrAqxqIVtmAwsyC5zOVmjRzJqC6fQUH4Wzk4x7WYfRgp9pVvqEPub47gC6hFiPP7SEF3fRXUaQxLGvSRIom4yxusCg0BTYZYk2GkfPQtWgNHeURe8tSLrFmQb6DB0KSrvH0rwgCeSLGQ/2X6DyHq/v0p4l+uBR/Rl9f4eYcj7di+wvMkZdxnmYofd6TNERwoqlH5GaMUfBclle0E++IOUGLme4yzFTbzgdw6oA6wVdd6iu4cnhGdP5AYdtRUOGDRUuaeJkgbMBdOTTPrDHmIneZ6wcKwm00fP6ypH5HpOEN8t7kAZ9+HxRMfGRo+g5ni2plZALvFbnQInoAn+wYtyMGDd3uEhQywU9z8gme7j37/G6bviPzv6AH51E/uix4wuB3nrU3TMyvY9LBfQ1z//ljzi/sPTpNbLsCayP+No2o5vC5Z1AfPqA4Jf4+IxS1UgW6cqeMubEYOml58n9hIkKs4Ru3DHyBa/9bJ9leD7IFpb+nietFP1pcRWXXsHqwZssxznu8QnTUUOc9PSn8Oko0dNT+hWdqwkovM6p2jkFwh2l+fwRZNOG93/0KUePXiNNZnwaWpJ5RpEHHh1VfP6J4yd/8Jz/y//hv6ZZnZMFx/tqwacu0mjIPeyrhpQU5/M97s4XVJ1nLsKDO9/j6FvvcPB3/gxFVaNDA3JGH47wss9MPUa1+1Q4JH/BKBS4NCaoHOkP6XTgrPIo5YlETrO7GJ9w6ZJD1XKZLTmJnkc9XJSKpYNGzUnWkANHqaFWHR0K1SpGdoTTGVn6Mbm/h+v2IXyTrjqlK56xaB1BZURlKOwZFoUSw528R8mERn3ARfURKp6i49lX7pO+Nii1YeJsNm3XnI7eULpu24DeutlUV6r+7km27GwadVqfhN4EYnaV+o2yrLgWpU6pNWNCBrMEWe8+r/xBsT1BRV2dlm5OXqNWBJPxxjvvgja8OLuk9WHbF6/aom432JI4ffYUYzQ///gN7h0ekuc5IfgtQPZS/2xOj9cKtDGKInOYDYB2CyC16fehXl+uxP07SXJVb6012hqMNltgYKe217JdAQYQ10CLVYr33n6Ht998i/fee4/pnSN0kV0jULykOMCW7bJ92u6jbgOs1oXsSMst/nU2Y3NLIVst8TbH2zfRgCvZ3iFJXbtlCymtZVXtAKlbs5RtcWpHeDfV2PnOrgxuDFauV5v1s2DDJrgJklx92TK22Hnubropm0pdAZGbut4AKG5+v/m5abtzoBm9AAEAAElEQVRiWGdiDAO4zO1JkiBx7V9M0s6YqWvK5UZOd9lCu8O7AateKv9aH238K23yfH144lVg1B/HDPB29qmszaK30nsj042823k0tHDNmdkBAH7hal0r/xrQ+EogbremV2vzZlyGSJC8spxdoHjri+2aoGwW+as/N4/2PmCrMQevvcWv/ua/x/z8jPnZBR8/eczlqqbxgVXTIN6Tuu7ltn2JTP5JJ8UA/GZ5gVKGxXK1NcH72sAUA5u3rCqsNduDmSF66wAqf/bJJ3z805/SrFZXhz1fI1lreeOtt3nj7bcox6Mhymq8Moe8HXAa5uHLv21k4iqi59Utsh3Dl1i2W8b0rhCo3WzXXw27+W/SK6/l/uOZ6u6mGMbYmHAqsdINFo3B0IpHK41TBi8dNlpmTDmzPY1qWSqPth4fFRckGjwVDqMyZkERJNGpiBWP1gblFE5laDQhRawuSJIIdARGmGiZxRFeNE7cwI7pp4htsbZeH4goNA6btXigk4gNGQnN3C7QKQ7v+mhxKmHFYEUTETp6xPVo3RAdHI9zDt69wxthxZs//4ilVnQC2bwlBYUEQ49QNYMv5JUoFkkgRro68MW/+Qybet66t889eZORK8ljoIiOSCLqSyRWKLF4lSO6RqkGSRlGNC459tqKzA8HiuEgIb1gQ2TMAiFHY8gCLFQkEInRktYmW6s4xUuONorpDPI5EBPO1JgEToTOC1pBmSD3ihQ6SDCPEV1rJhiy/YSOoJawkpyMRCktzdwQRWgqCPEI0Q5rGoo0w2qIeU03zaHRUCtEerQOaB0JOFKf0CpSTBwKwRvhN7/7Lt/+wTt857uPGB/NUJmh1T1ZYXBKk3mQrAWbocjweo5C4TBEn0EyZCnDs6JPOT5mRMnAKFQRKVQEGRh1pR/YfUvd48IYrTR16bEy+FPtgzD2gATmhSdkkKJBtGEUFVESZ4VHKaGMGuMNlYpYA91U6AkgAeVarBxBMgNQ6Go0OWU7QhWRaA1NUHiVo3QGoiFqkjgalWFTjUHANhjdkZSAWJJZe8t0LTZ5nBhUqkB6FB6DR2lBlMakCnQY/JppzzjkFClj5eJgKhsNdR4IXkhBOHUaSVCgSMpiJZHFRN+VSFiDuS6SoTHBUqQxRnrEeHQrWGexBlADS1G0xWZgo8KIIo8rMh0wWWSRcnIX0M6T4gibIpnUGLPEuzmrfE7vFPQdyl8QVwntFVNluBhZDC15PKVMggmG2Dm0U1iVGPk0QM0pkkJPpsHoBOMepUuUOGyyWAVGeZAWrCJYRXQJPe0xocfElqmfoE2PczW6m9KK0Ome0kSShl40tilBK2Km6DuLRqhMQvmMlBRic+qUcCZhC2HcQVCRWNWkzCBaofoJbZnIjGfcKJo+rtnChpT3JIToNbiAVoLuHKh87VO7JVpD1AWdBFIsUckNTDEmaK3IKkNjh6htLgWMycnFYJoSEw1BQYuglEYZiwMkaVQwqHyQd4VBdQXOO5KKzEvDOPcUJHxU9HRD1EFT4XyGSRpPhwFygZkv8RIRHRHnUcmjfSIzOUmgSx4rOUYbnE40WY9ojYs5zueI6gl4TLCDiaaK5F1BKiy9E2wKiDYkZTBe8Cri80CMAUMc2isBORiTvvUW3/3rf4HDTy5469MFj+WcJydzjs8bskuPKjR975nHSEdE65pQGvLgKFtHVwZUNlgshUqTRBF6CKpCS89B6OhRoMG5iGtGawuphDDBa8UiWxFEYbVmj8Sq0YNp/DQymk+QmOhtx1SmFCFj1cxpO4P3OTkVMSQSgSJ2RKNBaSLQW41NCiMZdB4dC4q9fcq9ApnAuLskKjeYfDeR08cf8fyLz2lXz0jREMm5IOJdQOvApIGkIWmFbRMEIVlHuHfINz98jdfff0g5G+N8QIdIcobOCr0CZIJmMLWz8YhODA09zoRhB68gVwFr24Gs0N2loMPRMTfg02BOeuEyVPSMo0dKiCrQieawPyBmS5LuEBkTVUKpjjxVGA1iezwFtWhaItYKJkESRxr4AYOpsU14aejxdCiyVOFC8ZX7pK8NSu36Q/q6Zjo3walb2VI7zKArzSOto53prZK0qcNVhbhS1vXLz9oAFwOjagCkNvljjNfKGRykD4vHuiIohBgTF63nrW98i6qs+PRnP+fzk3OCj19uzrC+bK3l8uSYvmv5N7MZf/7P/3lGkwmkSIjp1hPkK0bHwOQyxjAqM6z5avbTAEz9aaJRm6SGE2ilMNZgXTb49uGr5WSj9MQUcUpTuozf/MGv8s777/PGN77BvKnxIRB9t84zOGFa44jc7BXFWh/5MtYLG/DhSkkRQG3BlRuI0c0HvHTtCli41RfOrSDGLmizU7c1Q2oXkNoAQVsWkmIALWGgNcOVCc62qCt2yNa05YYCJuvPm0DFJpqfyKanN0DBBiq+kTag5Lbodf3VLjjy1enmPLgCjwewafdx2zybjpUBOJcUhhPlnTZtmYOKK19t635XZqcwkfXY3wDe1HXgSTbCxxoo2NTpNvz1Vtzo6sabZneb3+W236/p2NdlVLYVGByaqxt5XzkfrgRm255rTf+6DKfdIl9xAHHVP3IDiBg+0wbIFHWtLwfs5/ocu42FtQGkrkXBlM37Rdbvg6tClYK+bXFlxWgy5cHrD+nPz1g9f8Y/+If/kJ89ecbnJ2fMFwuCtajer1lkVyDarin1v7O0A/ZqNayvKUbmi8EH1nDLLevOjXHQWhHjAEpNZjNc5tBrlqY2gy+24AM//tEf8POPPiLFgF47N39VGzcme1priqLgWx9+yNvvvYdoPQDFKW0Z0beB0bt/3wRoB39m67VSsY2ieWtNNvN5W86GbcmWbQ2bqaNIu8ysmxSra+lV0T7/GMnvUybFSBLPxz/DqhInBX2qqZSj0JaGhnGYMo17nI6e09Ayp8fYgpWyzEmY0FFoh9MlR51wmSzHOkexQmtBjGEiJT5GaqmZmRmRwEIFQtonjwVjP2KhIVMBq1pSexdlLnH5JSI9Q6RVS1kM4bMXvcVIQaN6nmUn3EsdNpU4f59KQYGmiiVnrOhsT5c35Hi8JH6qe957/w6vRc+v/aMJ/yzrabynOF4RigIxloWDu4thDEKWcdpqYkyIeD77n39GODnjW28d8NrbbzKucmJ3TJksUSIX+oRM9tFSUdsRlX2KVR7d3SNbRx06upyR+2ckC90DTfZCUS4jD805UfZJUqGC4cTBQkPfFQQZlL9FOAAiLgvsHVisN6RecPmSsvPYGFk0JeM0+ILyK/B+SS8LntVwp3PsJ0v6RiR7LsRLxUVeMGHJNK14flLgy0Qz1RTn93BYSr2i6h7hVITynHD0FhxnyFxDmg8Kh054MvwqEhae0bslnYvEIvC3/5c/4N333uD+W3f5aBHo+p666bgzLrG9IW89NlthjEJbTZ2dUQSh7DOW3T1sX1G0jtP8mD5ZQqiIscFnHW3eUuiIUoGkO8bLRCuRM9Nxt3GkIjHf0+ytMiQkah/YWyWaPPDsaI62YwgGcYppI3gTeFHV3O0TVQdV7dBFTygU832NrwdzGV1cYGSPEA1zC31xhpOCop6icotoSz3XJJVjTMZYDRHTYiw4V/scBUVuGmK5QANJNFZlhCwRVcQ4T9Z7nOQgUxAPqUbRDuC9cqg0AfMCMUvEJIpVSREKvhjVKNG46Fi4HsfA3H5qNQdBMRPFucnIWFIGj+/2ieac6BpcETH9CNuPmKQpKeuJtoe0xOqCzDm0LAmAIlFUGhcVWUqU3QqxCe80IViUhswkVDOj5IyCOTpzdNUpF+NT6swSmiXWX9DVJdMER8qxHOdUXctefMY0JEzvqE1FUVgyIOsF0ZaYEjEKWltkkgizBrMaQ7AQLSPjUbEnhgXRjgk2EmxHPl5gu55s7im6O4iJxHyFbu8REXqbOLQ92mr6UpNkhChNLBPxRJPpwGjaUC9HRO0w44L5Ssjp2Ss9+7Um6MRidIE3FeIz7HyPdq/GFIn93pK1gSAgZMRSE4A+KnTZo0UTL8coxlgCLq1I9oBgDAujUTJCo8hNi5MZmba4PXguij7BQd+QuxKjMmw9xmcGrwUJAtaA1hQpEryFlLCTSK4aklKY1YSiLVDBcjJRZNWKKou0TUWfVvjkSXaC8w4bBQk9VjQO4dCXXJgFjetIWUCWAdMJ1WxMT0sdaywlTmkKY3lWNpRpRhnGjC4zQtYj1pNFC1rwNjFuJtQWuhxEOpIURCyuFVZ5z0UR0L7DBYWNOVnq6PfH9A8f8L3vvM33fvyC/t8+5h+nH/M//bPHnH/xjPKsQY0iTehYOEvvaiyntKOSUV0xqysuxheYTFF6wY/SoAutFEumTGPDvXbFkxwwaYgOe3lAMp4+W6DiPq1taKfPKRYlY5M4kp6nFzltJvijQHU5JsWIt55DP2bU5XzelMwXOXWjGXEInWBkiUtLkslJWiNK0TqLTQ7dTzHzOdaP0W+8TnmnwhaeeHmCl0eYqLEnxzz56F/w5NNPyN05HffwyfEkLSHzFMqz7xXHmcNrTVZ3hJjoxiX6g3f49p95nW++fQ9xGa52GK9JWUZrG3oiwR8gukcLVPER55yw0gsOXIdhTFKWQnVoXaOTQq8mzHKLcZqf6jkVZnBunzlemy+ZdZ5UaJYS6ZKlbB8QzGPEdPRM6GVJSB15vEM0kd50tGHEAkMTFQ+sR3sFEc6jI0ZFiOALzYoFDS1ZyinDPoU//Mpt0i/m6FyEGCPGmFt/f5WZzk0lBzYn2nqrJF6PtGO2G0mt1XYj+rIZjNopfmfXuVEit4qPXCt/Y47w8v9p+7sy61JTpLYZ04dv8J/+5/85v/P//B2+ePKEs1XzlaZ8MQrGGHzT8Pv/9J/QL2tee/Mtvv8r31v7JoEQwrWTZK30wBwClLGYvGA8O8S6UxRXUfVue+amrD9VltRQm6H+GpJEQugJ0Q+MFXb0/HXabW+MkRQj+6Mx3/nwO/zqr/4q3/jud0DBxXwIH6kBrQw7qjq38RM20rGNcndDnVDrnC/nWH9LO7L7ZXjjDtJy87avp8DIS1+vzFRfLvQ2QHcLpKndObAuUgYTNxQkWSuF18C4DZtguHKTGHTFjdpgGTvsItZq2hrw3YCKQ/8B6+iXG1xQrcHVTbO+Lki1AWZiSuvolGmn1bfcz2Z9CoCgrUH3V1CS1lfmhdc6cTft/p1e8ah1eze45bb8dF2WRIaD2h1I70vbux1FgZu+qq7120YAr+M22/zb+66oRV/63BsFfFU1X5H1ak3/Ws+42e+/8DNfloPtOYQegAzZALpbQOtGnh2cNoZIGxO9Mdj9B8zuvs7f/fD7fPLjH/HRv/3X5M6xajrOF0tENj4n/lhd9UslrTQuy9DG0nvP5Xx+/YDlS5JSCmMsKcn6/QdKW7QetgBFUXJ6csz/8N/+f/jZj3/M/OIC69zW5O/LUkqJ6WzGb//Vv8o73/wm4+mUxWIxHFKYIbKdvjn34NpaqzYLBlf9umFJqS2oLBskcHvXSwCvyDUQanCkLKQbk2XjiXCzzgx1Gcq9xsiS7dVfGJy9mV4vPyIwIkiJZoTFk3FGzZSUanS6ZJEXLLTnhbrkoBEyNcKaA54lhwkFeyGnLRckc0mn5+yFKZnpcGrJxFpUzEmNYxpGdHqJuMXgO0rD3EWmKpIFMGTkWU9SS+acMOtmaDGo7i7L0tOZFY05oe7uobXnbn7M3BoklDzq7pNlJyjtKJXlzBqSePbjJWW8i4qWcS+0eolIohBFc/Cc6jde42++/r/F/Vd/n5/+/At+0jS4rkOMwRc5Ptt5SR07jCiyqsaPOz6/OOX/9L//l3z6d/d5//1H/Npdw/ko0GnLUfMN6hTxKhHdCqTCJg1qjIwiUhjsn1O4n3fYT3ua1RR7WMMDz09KSJ/3qMvIlDl9V6KcgUfHLJaGtrUUnK5HUPOzj2ZUd/ax7yU6+znp2KAvC9ruHl3XYVXLG9kpJ7MZCzsiP1HUpqazLXyeD4pWppg0LQ5PtEL/esfk1DA6V6x++D+xuv/bPOl+hXekI+8ir13CeTihdxlyaPnG2TlnccZJuk+Rv2ApilWc8cPVIR/+xW/zvb/6IR++tU+t4UcvhIN+wiRaYtCkeIwSRy4j3j3uSHlHKL9A1wUxVczTmHrvAhMNXVtwpALKeMR0HC8mWFMwyizzkeDw3IsrTlSBJGGvKzCpJ8YO31+Q+ddQ2iCTnqw+JnWG4vQOceZx0THupoxMjbc9e0S6rCZlgpk4Ujcw+ZrLyDQrgRGL1ZhReYnNYM8XLNolRjzGJka94ARSo+lmPc63zD4/IZT3qLOcrmrotSAUtP0+Y9eg116kUzxHSccBGciYTo+gqiG7RLSnT/cpg8EmwelT9uOMcTykUQ0uO4NsyYPudcgC3rY8lTn9mvFx0Ga4vCG4nl7NWRLpkyX51xgVFxgbkYs7SNEi+ZKuOyHEBUFaPt8/oOg8Rd0xml1Q+QLanJRlFCZilXDcVzRoPJrCQ9lPKPSU7lDolnt09T4HRwXTdsWDE4UWRWKEx9G2JdF1rOwTxp/ew6YL2mzOeX/C3XHJ4cOS/guLiCZpzZkESqOZ2REqlgRp6eOKvu2xyuIyy1gFQu7w9gHhWU7sItL2uPMJ4OmkXU/xEp0eclZe4Izm3Szn+YVDMoeZjOjzFVXQ3F3kHB89x0VFtSi5EIMNkTfnF7yY9Hhjma/2ObCJInWM53PqWYtSkVJbviDHoBCjsIcTtHikPUPpI5QV9u5doJcFqlckala5JmaWi2pMXAi2j7zVlSxzTa+FIGBtCykxP24IU0syY1q/osyHd+Yqn1BJRh4Mev6Iwl2AWnAhU2IZ0EZRLI9Q5RNCuWRRfEajKqK23F900CZWXjOLmrjcp+zBHiVqLHVnuFdPOSuXPB1fcv9SMw5j8jDleUwU7pycFk57ulGi3wscrn7Oqt5n1U3IXxxRTgqKMqPWibltafIVd9cMSR8q9J5H9T3upOdssqDyd8nCmC9GcwqnOLKGC6NZBUufDFkZKFLDZJ44G8/IHr5DsfcBf/Pwt/ner/4ef/m3/iWT0ZRFPOd5+wWT91vkk47200glDXFywbO3LK9/MaYVw6XLeaP/gtU04/TDu9z76DExweMsQ6Y9KmhS4zgfP2WaCW9Wii8uj+lbgBLf3afuGy6bp+y1Hc1qxPHlQ87NOWU24q75Hp9PW8hO+dnlT7ioC1Yqcnnv52inqNqSO8fv8tnoMY1O0E4pzTlaZdjRa/jFOQu/xxMCb7MkasUX1R6TvRnyuOeL/9slv/tPn/Ds2TPe7Dqe7H9BozVq4fD6HkkyzhE8Z6hUk3UdPsuo7u/zl/7jD3n33ttMy5In3ceDg31tWaaKopugNXw+foYNOUUoqDwUTmG0puoVzvQEHXiqI1V7iA2OrDzG2xXg+fBshmhHNJE905JPK9o04jRpDlLHNCVSFhnFkrILnJun7DcVeT+iKVpCmpBSgcuWPOw9rrakbLaO7pfIpKGSu1TqkC6ek2tHVBWThcXbOX35/Cv3SX8sn1K3+XfaMBK2wNSuwr9RWmUHLLoJCNxkWMl6D7o237upUFw/dZXrSppcK+668r45Vb/xf9rxnXMTWEspoYyh3D/k/W+9T1WV/P5PPqL38StM+QZlKK0V6xdPvsB3HYrI2+++y3Q6xRmzBSK0UoMT7DWQNviHMmhjuXKQdNVHN8djMwab9vwypkG/aNrogCkkog9bxs/NtJUFBsZakeWMq4rvfvghb7/7Hvdffx21dgqfJLHx9XWNUbQt7OV6XCk66poMXOnDL1+8ycD7yu662a5d5Yobgnf9y/axL8FrO/rWxmTtNjPY3foOSviX+3vZRgLcmuq9okk7nKjtfNztqh1QagN8Kq7Gc8NQuYKKr4M2G1BSb8dxp/wboNu2PWuFWGuFNeZ2QEtte4K0ZlRtzWK3c2mnntxoF2p3+HYbfHtHrS/rnULULZ16bclSN8f/5fViAxZux2uH3XMlqIO8DOHpd/TzTdqsmTsK/q1NuBXYvmLhver+r0ovsehuy7brHGh3fsjOFL/x/Xqd1+v9SyDBBpbbGFrKlk3ItXI203dnBq7LSWmIvpoEVF5x57U3cdbilzWffPYFnz57TtyZe39qaVNptZZjo0EpYny1r76Xi9i8n3fehQwMqaIsOT054fPPPuOzn39M2zRfqzwY3o3VaMTBwQGvvfEmWZYTY1yvXXpnfbgFWN+853fn31Y2hA2bbZvtNtlkV05uzBfYysE2EMotsnx1mLZzUa4+NvWU2yb6L5BGMmaJoSayD/Si6JSmjDWOgIihiBNschTKYOnJxJJHy1TVKB2wzqNIqCTUIoiLNCoRFTSpQCeHQtNkK7xORDPGRkfJYEo5IhKBs0yR64hNCRunWNHDxlIrPBZEU0VHrxPogJNEn6a45BjFHhMdvXIsLYxTSZEytPQkIlEJCxNANBrLSFkW2uDyjOndGe99/wOK0Yj+R3/Ak8uePgrjEOkKISoFHqo4KK9JgXSWiGbhG372e39If/wMPZli/72H5HdnGBHGKCQZkjdIvqRRnkgNrkJLiV4WaKMxpWD7RLJCbyBeFsQsofYDPQm7smTKMdtbICiigrqDEPSahd4R+ohqhP1KaAtNLxp93pIcBGtZBUtICRM8M3H0CBFh0kVaremVRpEhVU+qFGle0LcFVnIORoGJU+TSYZtE1ntywJb9sDbFhGFCPlJU1ZLe9xzd2ePh/h0+/M4HfPP7r/PmG1MUkZAUHZqFeJzxg5lFn5OSxaeIwhFUxEuPV2ZwRKhatE245CiiQ6QhGOg1jCQNLBLdU6ZsOIgJBTpGTNJUukR0N5hatXuoHrRL5AjGaqyCKuuI/XC/UZG+8CQg8yNa2wOCiTk+KiQJhU8UDlBC7ztyDEkUDYLxYxSGhVmSJUEhVHmBVhqtIiGLdNkKyQOz3EL0pCiU3qLM4LNokhRBxiQylFJYHEYA3RNdgZgcEyw+9cQYcWk4HDNKUbqeaId5bHsB26Btg40FLiVsEkoViDoSFChxGK2x2lLbiNICWtG6gCNiYsS4GkWPIjJSCUcgI1GEjBhyYsyxKhEFgmhyXYLtsZnHhsG3pzfD/syQYXGgV2gXMUVOKANBG7Q4pmcJlwSnBaZLXONRyRKAmBQxKZZ5womQk9ABjBVsBpe9wiIUrTC3iWgjFIILglYJS8SMhRAjffKofgIKkm4JKYESVACbLNom+qzFBUPUFgmawvUUWrB4xOV4hFp7YgY2GXJfYPVgAkXokDyBBzOfgemIOlGbGruaYIMm+oTWAVSi045gOpQS8h5sHNa+rogoiaiYqGUwd1M2YcwQWICkqHQkmEjQAWVbSAWiGKJ6+gqThqBO3jQEpYi5wSeFiCGaSBHdEJlPe/q+oFMKqiEKKxIoY88qU3gj9H1EOcG4YW3L8w7lhD4lTNJkMaO2oByIiYxiRJIiYFEWMAajNE3Q9FYQvaLqKlw/7KVTarBJKKKjFTvoEhlEsSTbk3Sg9xqbIooeG0uUTSQ9sBtFBCPCKhX0SWNFMH0NUaN0hgtw584DbPHr2FVi9cWK08eJPDiMEnqrUNIRekfflLQS6ZLGdxWEy3UUQE1WBdre0AaLSh3GDkwzGyKZEXo0pAgaYpYwQYEY2mjxqaCXAomKZBJ95llNGirxhFaxmFfEMCeiSbrEtoa+c1xKJHQlYhNkEdNVWLE4c4KhResapZfUyz1yXTCd7hHOGs4+ecG//IPf5fTskraLrIzB9QGxkXokSCeooMgRupiRVCKawOuP7vPgnUc8uDeD3NGLofIjauMRA/gWJWMsllYLlQg5kd4scAQ0itoKRcpRMWOv81gSznhKLEFHEhFjoTEer0EHRysQEUbGD3sALKR+iHApBUldYESTpZyAAywoyHzCSYY2I5baEPSwdzDJYFSPZoHQDPNcKzo3EG6y9NWQ0y9kvgdXG7jd6zeVnI3vGaWHyAGknW3iOrLN7v5Pwdp0agNYrTfRSQ3BtIbS2XzcZN1AQpRwjV/w0j1XG+OtedG6zps23ASqNnlSDGAMoaj4/q/9KnfvHPLixXOenF4QwhBO8VXAwOa60ZqTp084ff6Mzz//BFeWvF2UjKZjvA9IkrXjPbVmkA0OaJUyyA1A6tbnrE0ojDVoBb2Xlzfa/46TiJBCJHV+C7JcU843f69BPEmJvcmEt157g3//r/2HjGYzbJ6z2jCkdkwWb5p0fR1F+aYOsTXr5GVglU09vwSLkFvL3MGo1NrB9G55ryh2A0Jsv6sNZLJ28P0lQQKuyeYrnMi/BByvFbbt1V1gYANiIlwLdL957kvgFGs/UjuAmVyfp1eK6Kadg7+ijTq8YWBx7Tnq2rzcJKsNmXU7Gugt7WVQkFOMkAammFoHMBgiNG7+u+oAtfNNsWaMbbweq4EdcQuC8rLsKV7JEto6UVZXf2+gk5ez7DCdZMf58y1CuQFWtmZIa5O3Tbdeucf7cnDqq8xrv5Id8pKIyDWg7FbW7HYybRuyVv7ZoLJXTKcbeXejZN4EMgXWu9TdqKtcDcK6kA3gNURvSztymojeIyEQYs707gMevfMezbPHnK5qzv/N7xI3TMA/zYUVtnNEkMHUTm+U5F3U5uV0k0m0WQM3bbDGYEYjfvdf/St+8oc/4vNPPsFa+5XOzTftjzGyt7fH/YcPefT6GyxWK7q2w1n3pfk2n/oGRrmRZzaAld7I9O4qOnzfXZOv5tPV+O50wjV29G6XbgH2m4DUBgdU1/clv0wahwes1IpOrXioIydKc6k098IZWmUkXTLp95mIZYbipKjJoqYMirvmnGA1weaYEOmiYpk0lwUIGlLGPE4Gsw4t9KNjkqpIcohLBUVoyPpESc9Z5nledDz0iiKOGLd3SPqS3npqG2jEkYWMmRScFSegOmwA6w/IQ2KWTsCXLGxGnQuvN2PyCEiP1zWN7umzhqmfUoplpjJ+LpqkFOQF3/pzv8GD1+8T/TEXH50T5y37bcvnE2i1IveaKQsUwrnOkWWOiMEUkZ/9i3/Js2R44e/y64f/AY+qA1TRMhVLJg7VjTmt5jRZTZSEclN0N4bPR2jtMDPIFgHvBBFD9sUYHi2QOy1RFOMnOaOQc7RvWcXIMiXqzhKCIcYBCJIVSCvcF8XTwlAXmnx5jp9WpNxxceyg9+QEDqi4UJEG4ShEzqyiN4qoS+Ksw8x65CdjamaEcsw3XOCOseyxoFjkuN5jtMIeBGQOaQmeR7i9C6b3jzl5Ae++P+Mv/8o3eeu3fpOjfcte5akfz+lNQcpGnOiGUdYyzXuq5g06n2hDS3CWqN3gS8RaLIGcmsxkVOKY9iULPae2imVueEN5tOmIWc3Erx0O+ym5b8m0ZeTGrMwxLpSUq3sof4mSSB4TKstwJjAZL5GLtd8R19FUPQSLu5jSmcEHimsrVtGjUmQaEnYiKBUowxzLHRo0lzTs9fuIEs6rC2aSU2jDdDTCpsG/UD3TdPYS4xz3i30uVy0SIlOfaLIDoOCghdZkeBPpTMCKw5LQeLpsAs6iu8RSFvjYo/0MpwVrPGUxZ24UvVikblD2ArEtpZ9R+JYseKzuWapEUBoTKwqVyFFcuH5QopVmWTWMu4T1iWy6QlIiT4qZBKIKiBZG3YRVzOlxlLanTpouau7YnJB1hKKm6TJSlmhcQnmNS5rcONCnSBGQWYmfenoU1ikeXfbkUTDRUd8/QZ1qzEUFkhGDpWsMZ1VkKkIlkC8MmU3oUeRCO2ZeOFhqTmeGUAgUEX2pMASMqXH7ZvAr2HhQGaiI2EAf1r6dgmcWK7zrWGQXlGqPECxtJ0xHntx6tE1E84iYIsmdEXVE+QrrpxhtsKpFyRIpEokK2juk0NBmK+rJMdXplMxbIj2ZtAQNXpUs9RwlibTMcWiihUXl2bsM6AC1i8zUAKpG09MvRhAN4zxxbHq89lSxQ6XBWqabJDieoJscky5oxu0Ado8zwiqH6Ag2sd/llKJoihXLekSrJ1QHHdCgU0/eeBblACavLntMkdBO0fmc2WiJcx0vupzyIqNsSk7HAqOIdR1H88g8aRoyQqWw2mGDYd6VqOoEm88Znx2S+kjqelJaUHrNiJLjlKNdwNiAtCWpaJAskl5kdDqBqRn3e2vGX4fXLUYlchEW/YykI0p5HrWX6D4gXaBpPdXdQ/be/ibq+Y/44oszXvzEkC8LVMppigzknNSNCO0e5/oJITmCH9GrOeJ7smWPG2valcHXDukhHyXKqWd6qYgJLsOgt4hNhLGn7BIqKlpyWvZIYlEqoBB81lHfOeYwBNo6ozk9IIWnIBrSIfHCUfeBWlaoxQRdBuTwErvYI/MRpz8mc47Mljh9wfLyDpiKe49mfPyvfsanv/tj/ps/+B+BAf84MZZZHTE2cfnAw/Me3WrGJOqQEbQhFYHvvP8u7333TQ72Z/SdQjzs+0M+yRpq03FAjZGIxWIxTBJUMdDYU7LksEnzJI9M6ooyTHngW3xxgriWSThkgaJTQl8KS9PRIkxWRyyUx+uee/kKLyO6lJHHdjDPpSCiQFm0ylEyQemIxpM1CfKCkGVc6IbeQNKGwz5iqBFZElQg6IxkHHVlmHQZ4/72feFu+oWZUrc7mt35bb2bk7Q+WdTrHZ/afFyZ/OwcVl99rpVevXbWizFsaFNKZGBOxetKoFIGvb5nNxLc7pebrJObCs2rTfoGM0NJQr1cIuWYw3e+yX/2Xxzx3/6//t98/sVjnp9fYq3ZbnBv7RvAOgcitPM5P/63v0dXN/z2b/0WElZEAkqtzYwUiFJYwEpEmiXEsNlF36qsCWwZJViNj5EUEuZr+KL6k0obppxSUBUFeeawRhHXfai1GqJTCOTW8lf+wm/x/nc+4L0PvoW2jpQSXVNv63wlHlfMu6tT9a+viH1V2io36stU+FfnfWWeVwADcqVVc1MjehU7ajfvBrDa/X4z78bsRtYAxUaNW+ttbJ2fywDmmDjIv45x7SdnUBCFmwreKxq8nd/re7YI3q42t5v5eqTJjfXbVlnVeu2UElIUYryqxSai1qYftdJrf1KJru2JIQ2gFGo9n9T1fuJL+lupYa3Z0X83hoNsQJNth+4AKmzm/o7sbT5lMCW97mtbbf+9brp8/Z6vAoX0Df9L27xfgSVt79sI8Oa5X0K+efVc2nmYvomRfAnSu63AdaCApAfwaQfsG+anbAEmSbeUuS1Gs7XhSqzH6+aauf593VFJFGtDs+HEMLbUrRAkbhktGjU4Wf2affsnmtZz3WUZzg6m3ykNpqq/SIW0HgbIx8BsOsMZy+/+7r/mH/0P/z1Pv/gCZ+21uXV7VQTvPdYY7hwe8uu//uu88dbbtL4j7QDqr5KXa9fXfqI2gKrmigV4BUJfr8vWvHUzd2PazundKH6ys7a+YscyVEHdvDq8cfTuWsov1M2vTM7WFNkZn1HhVMd96TH+Pp1aR6PKTgixwMYKYcScjhNWTONDOhpWsiSZMblo9oB5H5hIxp00JegLFtpypkfkcpcsCja0SF9zaeH5Xo4xHaNY8s3ukDMbaHBUKeOzqsBbBS4xWzRYtaQtE7Y5wCpNZldY2+BzeJ5rDpZTCqV4mHW40OBtoFYXFDicCD4lxrkipciT5pJ7akIkcRI64uQQ88GI77+dUf1f/zse//gLfu/nLW6VEbOKbnSXC/2CzDYc3e+4eC7ICva6Ocd7iXML827Oe0++xYPDCe773+U4nSFcsmfmZKkjrx22v4PRQqcaulND/kJRLTLm7zwg++Ippl6RXjtBTQYxPPyZcHc8wh7s8/v7FTw7Jc07Ou6TVEBrD5wRwoyuK/ijpifq9WGJeUFxeomLgfsoXtyFy4ni6WNodY9XkT9q7jAtcvYnmuflU9JS4Z7mPJoVzIuGelzzNO1z31v6UHD2+hEvDmc8tQX1TytS1kCx4ueHP0diIn+q+d/9rb/CB7/2IW99/9s8W+YsQ8Nx13HkMrRJTOwCSftkFLgYeGZailKY5kKz6jChJA936DuPZ3Dr7VTAdRYi5JMRqvTYynPRVogvkNWM/SwRkmHZOw58Tyoi52XHtHWolJH04N8o9ZFw3EN5gM6gsA26t9TJcGrAAc4F8r05us0Gv0B3WiZPSnSvSCpwypKohTyfkK0KVDDcjY5sHNG2YaYu6ewRKuTo04pKRzoDJ2VFXhQobXghQtUXKEk8u2MoCnAx4RvolEaUYSoFZ5OOThLZfMJIeSwdNVAUkVxBVJZaLdDJ82ju2dc5nYFnR8ccdYdUtWNv9ZhlXtDkOce2pdMTklZM3AlLD4toCNbhZIwLI94pjjnNDC+UwzSKTDoMAbELRnJEEWfUFpqk6JNwuOipGBFUxTOXGEeo+kRLhepzlLeE6RkqeFQQVtmEpW1Z6BYBzFmHbYTnTgiUhDhCfXKEkTlV3nKvO+Rec5+95h4n8QlR9dQqsC+v4VrBxcB7fcZCNXxmFNblKONIyaH9Jc5oMpdx3rYoLFU25VwW6Nzjxpb2Yk5pCw5G+zQXYEPJ3eNDLrzgtYBL9E8Gtp82kM+eQxKKznCvtugi0T26pNNLIDEqLKN5hUlCOnrCdG6ogNztscjPCIXDTfZweYeKGsOU+80IFT2+ayhSQVcYToqKy5XBSMe4ekF1MkN3jhMzZhQKokv8dP+S0cUE2xka7zGHUFmhPB5xnAdM0fGor+nLEWIzRtHS7wV8SnBuOC8aLrVAVzJVnn1JyAuNy7PB5+OqY28EyQodDWXrUT5xftBSmQwXR5iLKSZ2ZIXntXvC5YWluXAspaETiAbcRMhri2ssdfYZZUpYr3j8cIVVHhN7uhc9h3qfmZpQhY7GrOjTimn3BkHN6Kl4Prukiw06LHmzeZvkFWEuJPc6KQ4BjeLscyo7prJTLmVBdB0mN3w8nTOl4/B4xTNqlpOWew9r+nZB2UZKcTyUO9R0XKghCp+1CWN7nh+NSLon0fDxs3uMfcc7+pIXfYbuEtmx59m7CjqLeWF52HlU4+gWeywqS5uEeuVQqgACKS140LegKy72x8TZW1zOj/n09/4JCk+WG7yGLDunxHPYdyilaYPi5NLSm0sWRE6DsNfDtKu46N/h1+6/h3Ed//pf/BP+3n/1/+CTPzylU6+TyXOKvOHB3Z4Xzx1NpyhOoB+fkapEdwoxyxibiu+Zt/n+e2/z2ntvkV++x9J+QtQvoFIYHE4ysuoOfRkxsePd+QMsl6AC0R3QcEKnasRkGOXRas58dMa4qcibkrZcEOOURM6xKEZdQ0nPxWTJSjQpOrh8hzJ/Btkz5nFEFAte8bBx9KPAYrbE9IGCFYmaH48SkwSTZHgt3UX6mpQ64A0WdsWxqelFmMTE2KeBsVuseDZafeUe6RdmSn1Z2joNHf4aGBgDOjVs8DQDqKRv5IGBTbU+5L5SWzcK13XTG6Vf9im0OQFWa61KNIOD5w11/8YG+bYN8y5z4KZZ38Z5qo8RqzTl7IBvfevbjKsR3e//AXXvh5O5L1PANuZNIlycnXLyYkrbe7RW6HWM6y3utKPkp/Xp/FftimV9WGy02anHL3u++/XSxjxCraPvXRETFIO6NzhhL1zGvcMjHj54wIff/x53H96nKEt6PzioVmzG6ordMPTJbtuvSciV2ro+Md8d2qvy1n9dY1rJlqKhuEUmbsoMG1D2qg4v3fELdvcGDNv+vQui3lIHuF12t3muNf5qrm3Ku47VDprgAPKkIeLf+rIwgMBXwNQGetkBnjZlbsZpB0DYRWS2dVpXYANKb0CgjX+mXYVyt4gNWL0pe7vC7JQrA7pGDIEkcTuX4HqfbM0Qb4Bg1/t0vZbIVd02bd20ibRp7Q5j44aD9M1cB3WdQbd9yk6/cBNM3WVq3Jb3Wg/x0p83TNuug/g7yrZSgxnBThki1/trK/OvEG/Z+vjZyOyXrVO3tFntGDRuzReHm7b9sAZRZRiY606vt9jnGjBS1+vyVW+uzagNa8eVtA/rfySEAMIVYPMV5f1JpJvA+uZvay1FkdO12dd6J++Wt3UGD9j1Gj1fLPj93/1dzk9P6bsOo199iLEFgbXm3r177O3t8dprr/Ho9deZzGaD2R5Xc/urQKmB3aSuydV2jdquFTv7ic2Sra6cmLM5CHvFuvvKQzS5GvXd9Xwrc1sBvfr4Zd+kbYRgDJLcOsoUBBKFDqACOT02WYTIQge8FCQVUaZmbgxegSdnIhka8CSyaFE60bqaToZIY+NgCBIIBKLyhDQjiUJUpFeGTCuihVw3YHoWNuKsxymN6Ue4pEAlQoAkYZhvZoQOOUikV4qVXaFEEXxCZ4pEwCePijlaFFnKsSnHiyFpgzc1WoRZrOiKFqsj++Yub//gXcpxxqKGuq/pkseEmpAHsEJXG4KLUEKfFMnnJAyptHxxPmf8/JS3ekVVWsQYiC1eIgpDJpGiaQl9y+JeZDEW6mVCrRoIClGOUOaoLqBCpB4H6sMV5cRxcHGHdtXQ95FeWZKpEVsDYKXFpog3IEGB1sR9iyQPCRa6xBKYLiML7XEJqmSwqgOvqGs7yFgPEoRSrRAVMSj6F48wjwqqYEnGDTB5isjYojDYZDnqRty9d8SjN+7zwW/+kP2H9+nNmKB6dBCKJFhn8GrYDUfrcSpgxKOVQ0eFbhR4hYmeLC5RAbTOUDoj+Eg0njTr8bpFpcCoj5wpASIu9vS+JEVHnhxWl8TksV1DiiUGjTGX1FkNkrABJDnwCtslUAZtIc8jVnUoBb1RqKhBFK0kJiTEaJaVpVNLELAmJ+HROqKcRmUNWjeYEJEmEZOwckJuPFoF8qgQNUThy1YteShBFLUX2iISTE+WGZJTiF5HjaNBkbB5gXMtWgvEMbnfQxMxRIxWiLZQjQhqiN5X5J5OBUQpps0UKzmZaGYqcGkUvYJRcnTR4JNl7IYIWQ6BkKFxGDE43+JUhVWaLtV0CoIRlBGCGdazhRgK1aNNIBYD09fEKb1xxCjY1FEgaD2AOnY5xXQX6OTJ5kJcWaIvCKMFTrdUrbDoHNFFTOFZmiUrVdMpTybDemFcYmlaLIJTiWQyglgsJRmGGATft1hxqABdCrg8IcYPTK9UDJG56sDEO3JjMBpyZdEq4VRLJSVOoBMwyZCUYmUUWZNjUiRPQqocvlS0ec9gu6bxuUN8RCVQeUWnNEkJBYHGCjo5XJexwiNJcNLj/PAu7EqNignjEjYGlFhsEkZ+jLhETyD1jq5KSAaZFFQ6wxqhl56YClKCLq/JHVgFfXAo5TBicUrje40OipFYvKoR66mcRXkPMYEqUC6ijCBiSRmIUeRFge0aiD0TPFFglSCLFkuPNomgAk4B2hBUQNQQeboKI3IzjOdopUlG0zpNQLAyRNnUY40mEOkQrwlk9BKJEugDtGaIvGhihgmGhRreC6I8WgtJDdFWrRJsEqxPjPsMgIXqyCRiTURUIDuG0YVittR82mVY45nMwJ8uB0KGXQdsigGVEqE+BKPRyhNcixfofEXIO0wEHyzmEmJv8L1DUkGCwdy8WkCXkKUaosmKEIJimSpGtuK1/QKbaxKWrpmg9TlZCpSrFUECxkRcmWiiIolm3Bt66cFqwniP5WWgkEQwSwywPG75J7/zEy5+doY+XzAJDsRgqUiLCucbIpFVwRANT+ByFHnv2+9z7/AB3xwfcfDOXbJpSfIGrzXBWIqYk2UBpT1lbOhxeHH4NERGxEbENnjxBFHM+j3KaLDiaXVPMiMCls4mJGm0aLBzWh3RCDkDSzbqSB4CXR4IOpCFQG8TKYNOHMoaHELUczqEKBmzlWAzQaxGxxyNB3pSe0mep8ENgI7YaMnCYK6slSPXo6/cJ31tUGoDzlwpKdfZB8CVCcVaSRHFVeQvPXRKIqHSlf8pYGt6Mpj8wWYDKmuNd6MEbxRKtXu0qbgBNAxKC/oq/7ZuX2KqcpuJlMhgKhFDBAbzON91RGOgKPnBr/06j+7d48XTJ3zy4gTfR6z5ErbUxpTPGC5PTymKksvFkoNRSZZZ+hi40vo3yvsNn8s3zJs2jLMr80PQ2l0DIX7ZzfTXS2tTKaPR1pLkupnNxsfV/mTG9771AT/84Q959/vfofeeuq6RjXxpPYAjWyzpJvi4edpVw66G+RX8qR0F+Powb1R7eQmkkN2Mtzx/m/fGafpNkOM2udv97TY/K1fPeRmYupn3NhOs7XUYQjjv5NsSKxTIVrIG0woRGZwK70QAVCldgVJXiNWN3tlpo75dGVVrs92B3aC3Dv23vpOuitqWvcEXlFJoc1Xmhrm0K+ObElIMsPbztjtGt/nourWeu2P+EhCzlpON5/51JLYrOb0xlsODdpCT3R+unnWTEfUKXf6ltBth8TZA9VqZt8ryVvO/AgM0qLRTyd367PqD2mnSDlR5rYG3ga231WHLaNniDzuzbxc8FrVzfaf9sslyNb837yFR2x+vAXXXLu22b13YFgITIXmPEiFzGZsHbp/zp4NQbeXXOkdVVbRN+ws9XATiNuIr5Jml73tePH/OP/vH/5i+HfxIfVmJm/UhLwq+9a1v8dZbb/OtD75NVAMbtu86FHobZAFelstrADFrk96dMdj8OgBTG7P6HaCKHX+V24MQdWV1u30PXl+Pd0rd3HjrPNusmxuAc+ufLm3g+T9+ukzQhoykRhgbWGmoleLI1JTSMUotJkzoTMelWSDyiFx5cr3iqYlAhZEJe6JoiVwqYRZykl1xWs6p+yPGvuCodxxXq7WZhaeX15EkZLGmwdArxTILzGTYZJ5mjjs2J/MVbrVHjaJXitA5onpBMiBmH9IYCR2hXbCYnULSxLpE9gdlyHeCjhYrllxybKhIyqBdYumeUUbhYTrkI45JwCQdMPkL3+Xg7UPkuefTL37KfF5jl4I/7OgUyHFOv98OlJo+J9ZjlMtReyN+cnJJqp7yF5aR/bFD54nFqqZVQtKJgpZqoQh9w8W7gZM/Es7PI8WzcxBFzEtCNsMeL1Fdx9mDhLl7zl4WeffTDzhenHHRN3RaiMWC5C7BVxQyxxKps5Kur4jaEQ4dWE+nhJoxD5607J91nI4b9nzOQW/JWfCk8Zw3OWXr2LD/s/YcVwuVzljGCfkbJfveopPGhkQePKsHYOeO6gK+1T/ih7/xK/zwb/wq7/6V73G56Hl6sqInknthGgx2zxDEEJKlzVY46dCxI2OM7QyqNQgaJQ1GzpAwRllQLqcOEUYt2X5NfeopOmHaK46LiKbDyQWdf4SNholYjJmg0wK1uKTPD0F7cnXMYtqjlWHqR8Rzjeo0kCMGbBaZjiPQ0KNZqJwsaiRC6xMQiRmcH2TQe2wCsRrRzRARa1qizAoVW5QXikWiU4nnh5Ej1WJjz2gF82RANLN5JGePpBx53XFWrVCuZ68qEa1IOqFosb5BRChLQ54Pa6KKdyjCjJxIoZ+Q2YLgHDJRdKLwRKYmcOoa5lnPpL6PFYtOkTvUiE4stTDtJyxCjk6GWZ5QtgEV6FcVrs+YRo1TNc5MUWZEip/T6CHaFQZcBsYoTlrHnllR2hrGAd0eYrp9ahcwssSGmokokhGwQnE6xdeOQgLjc/B1QWumpPEZU92xH2pWnSMVHWEUOHHHHNk9DsyUIllyZ8hz4WNziRHIw2ACV0bDOFUYIk23wrcLMn2HEALLrmZ2RxGMp7E1B2pG2xjml54DqdBGE1NgpPLBf5c+ZS+8Rq8MKwame2cVy1xzeDkjkx5jay4Octo8Udsa24wR42jLjBhe4JLFukNOlKCU55AVmTOYzlFc5hxXEXTPXeboXhOsxh8YJHi0BHJfY6IjTzn79SEvqmO62KPPNMupRznDtBkzsxqrO/q4xMeCBsX5ZM4boiij40LvQ3JkaKwS1FKhe83MOi6JRNMx3bMsLzr6LmEySygDxiZ0MYASSTn2zR4SNNLDUWo5Vi11itwTjbUKjLAIHSMtlLnmzPSICig007aEao4qaqpFxZlNzHMQr3DJUolGzQykljZ4YnNIw4gm5ZSpYxkVqx7GKlL5CVmY8tgAJmBNQ5m1BG3otKFSDhMV2gcOFhUXtuc873jDQ5EpdAF7LzT1M8P5c0d3WWK05uBu5MWLYzwGMflw8JgSpuuxpxVYg8pa2skFnRlx7vfpRk/RASRkjJ4JXTJc4mjVHsF2zN0Z2XSJqi36bIRzc1IyxFjygjGPsopv3qnIs0DSjpheQ+sVmV+yX9ecZPnwrqngcmXR3nLQOy5Tjc4K4r37nK5O0ESSfU7sVrz4+Jz/5r/8A+6pjkOJ6P4JNXcRP6Fpcko+RxcNlzOFO89QSXN5p+c3fvsv8OG3PmT2wGFkhURFuww0mSOmEZXfpyiOKUxDVc+ZmwoviTmKkAdUFpmYC3wISHDcq++g4oKoe0R7fAYpGToLNiiMJDL3nIXOCRS83owwtiWpjiJaFiqw0opHXcJknq4ULooRe8FSecXcXLJihg8T3jxN1IeJtlTELkerHqNbTP2EiRpRuIra9mRSkccJnT3FScFYJl+5T/qFQKmXWQU7mzzZgFLDqfxmM7drapQkodfUjU0Y6aHA9cdGuRN9pZ/s/HuTSbFJ18Exc6VcaGHt1eqaOd6mPpuyXvKfIjIo16KGiGzGIKIRSRiVkCT0dc1lWVLefcB/8rf/F/zf//7v8NnjpzTxq0NIa2Pwfcf58Qv+0T/8h/yVv/QXeXjvLmFxidmAO4A1FpvlVKMxxtgrlOolZUQhktDaYK2jGlU09WoA1b6iLn9iaV21pmm4OL/Ah0iSwbSqC577B4e88eABf/s//k/Zv3uHajZhuRrqaLQmbuw4ZKP0bcbrFqXi9sevAcrtXy/d/5LarK6+XCnNg0qy4+Jsp4Fc12vWvwzt3L35ZRBp95m7MEzaCQt1xYwZFC+9BmiHIb8Rwe6Gwn+rHA83XpmhrAGoKyhOrxX7wZm4CIODxLRjuiqbnDKc6ohcAc2AbBzqbyp2U8Fc10uvwSildll8V0Mg2zpdAQ2Iou86prMp2btv8+1HDzk9P+eyrmnDEN43ASNruXdwyN37D/jggw/Y29+n6zqMMbeCUF/LrOjmgG0GaN2T15hT7IArtxa88/1VIqxeBo6ugI9XADqbf145LXYH4mXgb/tj4roztFeVeTv29CeX1I3P3eps8LP1lY0MbrGsTZ13J+bOgYbsyufNZ2xAQ6V3TF0376z1/ADMtqCv2Zwvk4lfoAy4AoSyLONiueJytSKsI+/dPBy6PQ2sL4UidJ6Tx0/5r//e/5nz01Oa1RJjDMaYV9Y3pUSe59x/8IC/9tf/Bg9ff0RZlnRtN/QRDKbjQ613gMqNqd26nBvg07bmauf9D9fcgG3B56uTimFshWtyugs+b/psN11fo3cefOPea7cotQ6e8KpwnF8//WT0I3SaomWCVnOSyrGqZNzt0+K5oGePkko8U+l4Ghs6RiT2eJMz8jQiDzNOqp9RS0Urh7yTcla+4nldckSPSM+p1YybGXsOTJaYFydkJB7GxIWBLhrm3rHPWygl9Cri9QmSL+htywvGqOQZhzMyM6PTjo+VweUtZdlyxwn5ckSIBSs5IF6c4bNIPXEceI1Jis6AKU9wonjQ5px3d1D0rMbPKIMQlOYTt+JOPaUYW773Xzj++//jJenJC7qm4uGzAJJ4HBz3q55MBfq2RTsIuoGTS+bR85TnPP6jexxW75EdTmiwZL5ElOPkTsGdbEZxMeOtJz+henYApw1kLaVXZF2i+ugZL0ZHLN0e6adL+v4e/u6E6gdPSP/8hG5xBllLTiSlgu5uR5pb8pXlTteRUkdImvPPczpvIRr282Mu+0OO0xHZInGeOubS8VA1YAOFNfTqATKqafMVf7RscMFSBsN35n9AnuC4MPz6c03eRuo8J3u85M88uMuf/eB1Pvg7/yvuvTfh8HVL98kxoVjiDhqKp2/SWuF01HM31RRWYXLYd2f4KJyFgtUqUOQeZqD0HUJTUi+mNKolywPFuKHVSxKOvD5CdxdEFVhmwv3zSCwS3b5ir71EqQ6xJepCoXqLi2O6e89pYsXq4k0enC8g6+mrFlXMsUZhx4kzNcIqwz4Fn3GPmDRVzNCjJ5ioyZZ3uNyDaBJV6DDqCBMy7GKMjh6yRMoj9CM6MRwXwsPC4ojsu2PsSQahhOwOLn9OVB3nlSFOAwbF7CJxpCdElTgzF1g6tDI8Ke5QjmAUhOzsEBctIfMsHy7IuhZJgSeZougS1gv92RirNdoKF7MMV0PZQzsJtDIn4OlUwdSPmUTHC72iUoM/mUV4xkgJudaoUJLnS5QKyPItLrXQEKico3ARaxpi6FGUIBl+f84yVHRxQhdecNHWtE3gzr19Oiv0PlDXDqM91tQE8zFqL1CVj/hrf/n7PP+jpxx//oR/RWKhLFFn/Iopefudt3nnh4+48+YDSmeoF2fEe4bUZZjLA0aPIj5Fuj5SrALFSCj2A6dlAwthvMp5UZ6jxwpjNV+YKUXwzOqa1fQZ3mWkvOTTXsh1x6xp6EYnaFE4b5m3gpPAVHoelxnWJO65SLhvmKeSRSjJzgpK4EFeIcWc3gZWAUZmShDD8x6U68l0j+kiKRSIE+Ld59g4QoBeNYP/3uCYvJiQDiNtbuj0jNcuR4xCwqgT9roxnVIsioZQJ6LSBB9plaI0ljv529AuUHhes4/wvaGVQD96hq0tRMV8P9HXOUEpPj1qcN0+WvZ47CJFpcmtMAo5SxWokyc/7WE6QuWWZR8p9xXaWY6xeF3gyFF7LbbMMMZSfRHoY0lrLKM3heADTSc8vThhXDsyVfH5wQmTrOJIVzy/BMlqetOgX7REHFEUpj/GWENpLIVV2KKmKhqOs4xs7hktL2HvjNAVhGbMYVCkItCWkco/RIVAmzqaoiRzBa9lCVUfI8ah8wnLh88I9xrMtOPxj2qka5gS8FlOCGOkm3IgX+CNsKxKFMfbk8N8mWMLj3v9KfWzghBKhDH7Dx+jfaCfCxccbwOR9E8z8mDZx3JJT4dFqTF5fsq4gb3fe8BnH644m57w+vc/4/TnPY1yrI4qzLOensDcCod9R+kTjoxQ5HS25KLNUYxw/R6rx4/4L8//O45/+jHj9iOWheOyUPj7IJnFtoHRZ58j4rFReDtpXnxzwp033uB/8x/+TV57cJeqVER/geoqJEBvH7MfezSJWB2jnAMZE8OMmbtgZhK5zJibki5F5ivFgUApkeB+zum4pLaKwgl1v0KHhCpnXGaQVMvD3rI/r0h9wYtyhXQJg2OxNyZ3GZnuae+39F4RWqFwS2w7hW5MO3qbcb8k83NWD/ZoVY/vOlbTzxg1Jaod8eRRoNCOXGWYWIIeEV2OS+DiEivdV+6Tvr5PqY1yKmyZSpso7RsTlYGcINc2kzc3iddCnW+Boau95uZRGzV6e1J++xH9VcZrmIC6ruTdYJXsOja/adqzyb81zlmXs41OphUo2TpV1sYwu3ufNx49IvSej548x6yjHH0ZY0oBvu94/MnHPP/WN6mqgklRkEJE0hrQW0NqW4LC11BwlFJbR7V/qkmuzB2HyHkbZU7xzuuv89477/KNd9/j7sMH2CK/NqJKDyDkxkRy8Ga0HoOdYVfXNZCd61d/y1oWr8nQ5t8drGrDRNpcuJKDXRDjRht3ZGj3J426Ib+3AEbroq+eMgC4G+Dpqg+vmneNzbPWvtWuXG/7Q1/rhysZ39RlPR+ErVnU8O9VbTY+fJQSZM1q2oBNwsb0hwGkXZuTDkriWgXdzEXNNurZLrNxa9JzVdFtna+4D3Ltilo/VxlLPp7wwfe+x/xyznK1Yrla4VMiIkwnU/YPDjm8d4/ZbI8sy67N+V1TwauhfBmguhWsemlcrwCprWRtxuYVKM1gCnlDG7/5GKW4ou9cl5/bQBrWY7thmdy2NKhdEOk6hWhX5F4q90pR383PDnDwZWjU7b/dxg68yWbZbevN1V5t7Sivy90uSnwNv960cRuFc7Mu7IJzu3K3beK2U2QNwA6sXlm/8G6iWtfbsNuuXya90uRMhMvLSxbzOXENSn3dclIaTqDbpuWLTz9j1axoVvXXqrdSijffeos333qLB48ekufFDga4foa++q5kY3C5WV0AtXYhpXb6miuR2zV/3ZARr9UBruT3+ttgPQeuv9d3nbVfrb8vA4UvyeT2Gds7flk8CgCtAxaPTT2dBFQyWAxRzYmiSKIolMFJQgVDhcMkyFOPNR6ko6fBS4SkyKNjGSydDOPj80uMETLpsUqBVvgE0fakpJFkiRIwCnILrVIEFch1i/E5WiKCZ2Rrkg1EGykUCBGXOsYUOMkIUaOwJKVQpqGzFrGWkTIYZzFoSm/QMrD5jNFs/HQZyagM9ErRGKHxidJpZq/N+JVvPiLrFP/6o3PaYMBozF6iCyOiRPx4ScwjyWhQBaZu6Z4s+Of//Kd85+gRd7MDJpN9ojQkiYiBrPIUbUt22aB1ixSB4DNCZjEIfrWiKBuUES69xdPQ2UQsRrRG0WiH28/x0iIqIWmG4IkmsMoSqtcQQYWE8paUNP04EVKPSIt1npg8xJ7khUxFxtpzSUtMLSn1pEJQrcKLpt6bsFQTFudjuoMRgQxjLb/x7Tf4Mx++za988C77b97BHQh13qFGPSZpXFMSVIuYCK4felsFrEpomRC0J5meIk6x2pOkA+sh06QcRCzKgS1a9hYRg8UZYVVkiGRYpcFoorZEXdKbAoVGpMeOBGsSbplRekvQGWGkiMmirMeagLINSmkkKrQYQNHjKf0QFcvlK6xLmGhwRtCpIURFn0qibcC2uFJwXU60Qmc71EphxJGXI8QO8picBRMRetqyx/iE0kI7Cri8xoojlYYSA0nTGU0y5eBTKqiB2aGFXjeQAiYIVcgGJkiKlMFjU4ZKjpgajAXtoHQZVhQ6CZI36BiwKaGkwqJAB0LVE5XGBshtiVXDwXdjGyqxOMlZOk00HZiO0kUayUjeorMaJS2iPF4NZjYkzbQ22JBhVU7e9aSgiKHEhgKrPFb5ISKbMcQs58EP32Pv6Ig3vlgwHfXQRWwLb+TvcP+tIx68f0Q2O8SFEtMU1LEHo6DSjPpE0prkoFctQaCNQlpkZG2g1D0rPUTUq7qCTgvWgMotjW7QMTGOGqM9zvRDJFHVIdrQGTPIY0po1VBUBi2gQ8SpkpAUqhOUV2AV0Rkakwbrt4WlKztiDEibKIoGY6C1OdH2kKDxGToXRAl9yijHFu0dsnTUdPg0RGXMioCYyKJPYCNYg8kLdAQkkeUduWgciegzooVkNK639K0ZgiWMR3R5R0yCbkYkLKLB9VBFjdKJy16YREUeIXoNDrQRGJnh8CRGsmyJMppETkZPxBLF0RmwwaB7S84IlQdi1pChKHyBtJosCSbTkAmjqCk7TSaaMlgyCqxRZH1PbXOSdeTFHGPzgTUY4hDplUjWj7BRMCqy11W0Cbz19FkikWGajN6XZHZY6xoEg0eiZ6kdZXLo3qCzRNKG1lc0ukBij+07wh2DiMf0K/xi2D2MUwI6vNa0aFIoidpjXIuKIwRFypasTCThSPmIvg1IFJSyGOmJSfDOE6aDeeOkX9L2AZX1MK3JFwuysxp9njBuMGeLzTqqmiiks5i1yVtSHSoGrLQU7gyja9L8jD/6n3/CwvyM1YsXJCkpqkDMNU3aQ2o1RPs8CFgGckZbW77z5nu89e13efutIzQFPgpd8uRJo8VRasFIho4BpxpiLwSViJlav/cShhWZxGG/ZBxReTrxVFFRpmENLdQeQ9xTi/KgvEJhyFRJtGow63ctVZ9RhAynNdInREU6ByYVmGTo0xxSh4iiNxMKo3Ci0AZIFpugV5ckIyiboVWFkoBIR5KKVtWIXuHEDY7i01fvWb82KHV1KimIpLUCqteY0Y4vEcXWc+juJhF2NqfDr6QkvIydqKty1rtQ2QGJUCC7PqnYhADf+H9RW4UeXt5L3nRo/sr2bkGRDSQFKLPWVwTM4OxVrMXuHfL+e+9iJfGTL54yjJjiVV6DU0oYrUne8+Tjn/Lzj7+BKwp+/cMPaVZLQhqcmmsUWgSJ8Up7vFX73Ok6PYBSG6DnTzNtgIotKAIU1vIb3/8Vvv9rv8b73/0uddfR9x2+bTFm6KeBBcDQtpSQDZtnB8TZPOHa3zfADbRaM3d2lKO1cjoMm1zL/GWqNRtQaDff+nlqjThega+bz5sq7hUTSm8iKO74SHnZ19lmrlwHSpRSpA0gdeP+m+2QdZ5dtlRSA1C0MfXcBSiu/LGsJ/hNdscGbGQNNqm18/GU1iDWZqx2mFpbRsIGiFLb/nxFV+98k21ZSg3jiTFYW/HDv/iXiV1LaFoujo/pYiAg7N97wGg2o5xOh3qugbTdPtwAKmonkuVXAVMDmHS9X7fCpDb+h673/Q1kZN2qlwT5Zq7hPr02G9uAgbeO+VVXqZ0iXunGaTO2m6rHdV69Y2q9g9huxnLXN9tVs4cLu+zXXzS91NdyBXjeZkI91Ok6IHX9gGEAM3awiqs8N577VWs+mzI2z07Du+7qkCG+DFTfUu+b9f9l06aUDeh/dny8BqXSrfV5ZTkybMpXqyUf/fjHxBSvgTe3tWNz3TnH937lV3jvG99gb3+f5XJJCOEaG/FqmIbJtmU7KbX1V7dZgmANpavt7bek6+vvAChtww4MkfpuAJzD467m9TVQar3G3TStvslouwqWcvUe20zLXyaNMGQqYNSKRjwu6cEqTT8npAwtI6ZqQkoKHzUTW1KmFZW/5MJ21FpoTaCPCpssZXCc9ApshtU5y3HDWPfs0yK6p42KZdTgNDHktKGgpWdk4E4mPFctWjVM1CXu/D4qBZK+5I66oM3gLNfkKeBiJMqcu/IuIVpO/ZxWWZRJaHVGM9onM447WPosYZRmEjNqr0gqIsYTbBxCS/cTjBVanehMT02PtpHqqOKv/vAbPHQ5f/jZU84bhziheOhZfH6XGAQeLFFZGljsZsr0kxX9ccPf/+yPMG/9OnbiePDwgIv0GcE3WCmpqgWj9gJ1eY4q5jCr8U/u0M0Kkot0yxP205xJalioQ3r3giZT9PrbrChYmsidu/v49IIQPOrsHiqcEvWC40PIFnZgRQBKWTCGxRSyVY1rO8y4xURBe+BCURGpEBpO6bwn4lFjBWEwtTh++3X29SOOntxj/o0jvBtRlRl/9z/4Nb715z7gte+/x9mnjku15LRfcP+uYE8K8uOC1pwgrhuUfTOB2KNCh/AG6AXanjEOd0nS4PUZqqxRTkNpMKFEZz2mqLn/hSHZRJx4no8zbMjIu4JVUSNOgcpYmhEq9ii/JN9vUbWjrEeMVyVSKeKB57QGq4WJC1gXSVHTt44sGBKwMj2zlUIVHX56SaktGoOSSPninD7kzM0dVvYclTW4sVBdPqTXigu7gs6RiWN/UqLcYHLaZ5ayvCDFltU4MFuC1Zp2r2fCHCuOerLHxCtc0ASbcZmPEDEczXu0Bq8iS3uOMPhEma0qTMjQEqn8CZ2UeFEkdYLNPa7QuPwhSiuSRFY2kEVBJU1SY4xakmyDTJcErTGtZWZn6OiIMTHPPifv7pKHGXXRE1WDNQ3jzBNXE/q+IBudo6RHUqKWgqgajOq4tzCIHiNmhFq8wEdLiFOmMsZKwhAIqqYn0VnLvd/6kPH3M8anjj/btEhcIKnGPfgBtsowlUKmGrtymNYRmlPMSMNEmJ4rbKExE8WnuqaNCl9r9PyA3DSMshVe55R9yd5qQrCXME2wZ2iiZhQ0e61hmq0Q46EI6D7SakWdJ4qsw/iIqJrZxJJ6iGeKMo7Aa7o6oJSQrPD/J+7PemzZtvw+7DdmFxGrzWbnbs4+3e1v3WpuFVkkS2WSLhUl2bRhQHLzZAjwiwE/2F/ADzbgT2HYT4Zgw7AMQQ8mSMuiRBgSRarEYrGoYpF1695b97S7yXZ1ETFbP8RaK1fmzn3OuR09EyszV8SM2c8Zc/znf4yxmBauQ0K1ivGVY/XhGorHhMxo1JFtxVIfkfgMWsXq1VPMdAWmENoJMqnRSZOzYsOC4jPHG40+3hBy5OJVYdz0qMph6iNsmyF7JtWKSVDokPAbhT8SijVUGyFuCqI0p0dnvNKvaUNCXT6iqIzSMFkWJnpDMR3XraLyhSYKN72gdMHVUM4q1AJUCIxna7r+hORrJm5NzIZYDBtRmJVG95q6mqHHL8n1Ap1mNJsGs6wYlUCaevI4cPbCYeLA3Jpmg0oVhjGj1OKrEW1dUZlLjKoQ0Sy7HkhIFsabY6q4wciaJ+szlnbBqrqhnUbyaoJZnrCJDj1NjMaWTYmEtAa/5mpyzBSH6RVGF3JyrNZzejcjaU+JK+LjhFVrKr9iFR3TPnO6teG51JrOKEIYk7NHYkKVKbgVefyKKwRRE6iPYN1DTECiriNBZYLu8aeRmfG8E9d8/FlFbgLp3RuOrq9Zf9ySfqgx70ZKSXAOpQgKRRUtOtcgkSgrdMzY0nPcbCi6sL5Y84//XsKp16gMWT3ibPaSbDWL66ek6wXF9vANRQXQK25eNPzet3+bX//Nb3L0SHPxQrPpEhudmBdNTc1MT/DJQ+oZxUSIgWx60qinQ5AM03JJXaBCoeqGa7VgUwLHm2MexUQOoKuneISoErlbMA+DWj2TMV3VsdEdRXVM/Ih5GOw8xdIT2RBqwyQ3uFLzunxOYQ3S0jtLloJWlqpAyY5ULC/LFUWvkWrDKHyIkmuQJalUrOSGjV5xkr+O6zRuox/YGd0NX50ptZf2CogagKe82+AVsuS9nahbwQHuSApvhIF/lMtOqWgr2KodL0mAtL2+FYTk1uTyXkg8kMh2gNWhAsEhc2MXHlKt2DF19mZIyk442wID+QBkEsG6wfDt9XrN0w++RkY4+yd/xE2IxDy8DPNbdrK761qEP/yH/5DPPvqYo6Njnp+dMh2NWCzXQxsLeN9vVQgOy3lQlF0zb2tt9JcALr/gICKIUqStoekYhhOP3/1rv8Nv/8Zv8r3f/ssgQh89JafBELurKSWxa1LZtnPZnW6XB8AFDhhJ+/F10LeytSGzP+3eghE7sEeV7f29hHtYiX2bHbKbBKHsVJvuqY8MzIk3wx2TZ+pwzN2Wd3fhUC32rcw9QKvbeh4WYTcv8s6o/4Pp7CEnRD1ABDhov1059n+3wIHkPACdsvWFmLegmtoB0odMKNk3TSn35t3uPrdz9DDPnU0XpfUdADmXTNAWGVn0eMbp6dkgKG4ZAQBdjJitkLwDAXd5D0qDg0c+1MNtfD8cwNE7uIw3vxxW7IHrXyHslrH9GNylv1sC7xex3MtGeAP/3mFvb4Dy5jbBfTX2AOttXe8ySm4l8i9llj0QvkilasulY6fiVbg7Fr4onbeleSf9bYM+yMq6LcRtQ+1eKffSKEDKZdBg/ZL6/iLU9u6kt/9VSDEyrhvS1kHGT5NPKeWWXSUMKuHDnbc+k3Pm9PSU3/9b/xbf+9VfZTqbsVwuAbaHCm+WtsiOGbUDlbhdG+7HVof5310nirBlZt520WH/HYKj90HHQ0Dz/rJ7v03eKNMvuP92YR0Kfe7RJaLMCScEzkrHcvFdRu4CXb8m5VOWaK6URZkfchY141Axq76JV5EFHR+GOXWpMBRKXWjVgpW6IIUKlSJtiBypGUYZlBJeV9f0StGWCaFfEiUR8fhqQa00E3VCGl/RB8OqO2Y+vkCpwDx73DrRasOmPuHGXGLRzDmhlEgfPMt14HFokFBo4w1Xo4CuM8mC3Fg0gq17qt2c0oFlnlGK42lsMM7SmcAfbALfef/rfHOp+L3Rf8E/Gq+50Jl+BWUUhkmoIC8iym9w4TUr7UlHkcJL/vj/+Z9x/Yc/RP73v8YHp9/iaPyE5eJH6Mv3KdcV7XGk/uPM5FxYnTr66oK+eES9x3oFVgrvEbj5yXex68d8/3vvcT7+h1y5Gy5fa3TvcMFD+gzTt0gJdDSMy4QRjiuusLbDqIISaE4jNQn7I1hpx0ZpLuqD7QNgo8UkAz2kMCMy4gP93zA7rSkfPqaxkf/e//ADfvff/p/zN//q/4huHPlMNpxMXgxsBcm4TxtCKCTrOQtPWZjIzcSjLxeUThP7EQlLsadYd0RbEkFngrOMdUaLQ9Ew8ZGYG66WM+LxkjppRt7QhBZTDK7UtKevaIzhRKaUy0Rve1bzFVVbE5Th0+eZx+0FEWHRWowcURvL2MJGe7zUtHLCTF6TSmGhKrpnNSU5+nPHjbmgMj2P7JhVmVCqyPTkh5xcO3J/RKeOkB6EAFGznMypgPlyweK4AYk8Wb5GHc3pZYQNnhGPUUnT+SWh61AJHosiyIJOC9FMkbYlkviLI4VRY2zMHMcFi1ONNxp1XjjubzAkbmYVrbkkm55powibCSnVnPSOq/qGtQ10ek6abVAq82xp0EtH9AXbaSpbsBqurx2jYjE6445gFRdsSkfVtCQZk5hhVo9oKg+2w67eodRX5HpNRcNpCMz7BPKEkoSUPJcqM6oUT5xB9Bq9LqgNBFtzWmDuDUsj5FFhqYQ8ecI4wDgl/PNrVK4gNCxeCd51xNPEO+uAXVbo1hFqQ2h6qDtGJ2cEGwhNxyxWNB7cJhFkhhp1dCefs/SKSlvGqeJD3+Bd5uqdngUaOoW+asgnlhQ98XLDSe8QEivTIR8nQqVpTy1u/RpXFEfViKVdQlHYTyvesYYklrZRnJpENpHl00B9/pyYCthz3MbgrHDy/JIyOqLzwuVqjR61gyOEPrAZ15RcMfVTrjc3JNty/FhIJmJy4uTG4U4qIhXy+jFdUmgRqolG+kTsEkt6OK4wWhFXQgxCTAFJn3J0qqmNw332jHN6WumZsWF1PKfThuP+Gik9KSmuXz8h9jcUaenORsh6Q153rOU5Y9VxIp5RH1nqnstG83Tq6G4M7VXFeLwhJ4VUiUqvSBR8Dx83cNx5ZiUyNh41HVOamp90R5TOQKv5NH/AuFkxcktM07PMiVUBc9yjWw994NXJNaFVlPaUdxYNbelZNRc4t8TmGWo157puqUaFkYNYGoI19CZRzh1m3TJLH6MvNCVNsY3h/R9PMbJE8ZofznraCtpKeHFtKJ1CdYUy/RwTMtOuYNOP8bNC90xTfvQu6B5mP+bonUJYV6zOJwCk5AhhAj80bFjzWX7J6rjjyJ+Q/uibLP8HT7h4/AmfPP0MuzSMtOH5qeeTV+9gQuJdecmL3NCNNPE9yChUr2j/wtJPPfnU45pXpAypA/vqnGAsLju+dh34JEb6XPAfOQLw3vvv8L/+P/xPePS1Z/iZ5c9uWk6DcJzgxFteNi03tufUefxCDcyk4xHrEshJMbqpMEwRUTQKLuUVMW94dtXj7ITWan4wckyUYCXT6085WR4xCQ3Jn7BSiaXOVP2EpleMMUz0MSE5XjtFN1mgWw1hzKLuMZuADQ5Tvs1ydMXCrHmcx1Spp2TPYrwmqQ2FwHzzDZb2nNf2ksftS4LriSbw3up8ULcuhb6+xldTWv34S/dJXxmU6nPCiAzC8SA57O/t1FpKyVuASW2F8Z3XpluWiOxZULLfaFO2wuX2JBhRdzaS29Rv3+Y7WXmb/w4YGzbBgyR3uKW8L9y8VZgSkHIAZt1JZbC7k7dMlqG4Q6yUEroZMT0+4dtf/5A/+cknLNabQU78EsFNROg2ay5fveSf/7M/wnz/+zw+e0TV1Cg9GIzde9/70jA0jpIvzfaXFnLOxBgJojl5+pRp01DVNSEEQozsgEelCinfsk32WBO3Y2EHTO2E8AMCzpY9x76ih4DI4eAQ2KqtbYWZg2cOVdn2eR6mte3nPVNjh2eVIVG5w4p5uIceGmv7OhTuGPy/AwLcefauQH3LYDkAGIQ7bXEYdqlmGcb0G2Nb3gQb3rDHcsCmKEBWA4vvbrlu/+7AhftA3G27Piyk7nCY+yCCQm37fAdcc9DXWxC7sLVddQtYDwDVDo6SO22274h7BflCG07cHUP37+/Hx1cJcu/vITqyH+vCHdC9PFDkwh326D6JO+nursmdaDu2nuxHBodkvv2zhbt5/iyA1P65O4vz7Z87wNhbAKk74OX+mrzZHeXw37ewgPbvlFt27e7nsHiZwd5a2h3K/P8lyJZImmmaBu89SqmvpML3YGr7NeftcUopPH/3Xd599z0++NrXcFVNyrfsojfbVMiH42U7ftRBH98upNwuzg+sBNsllj1budwO6reBk7t67a4NgP/B+n2vbvfr8BBr6qE2+1lDyjWqZHSGsW9wOlJ0j8fSlIpxqlDbvUtCiBiiEooRsilYEWbFoIsmAJ1kkl3TS0erBJU8NiXqHGmBCASBymdi6Qj6mmluGImgJKPi0F8dQpZMSYWmCH0YoSSgg6eNhUhmxKBemCRjTIcnISUxUgpleopAkkKdNTZpqqDIKqJEodOMiU5kCXRmhdsMHpmzVvQmDOlvJhjrmZwe873f/DZ/8a9+jF+vWJSCTh3GGCo3o7+G1Bey6YkkxMBslInnn3Pzk8An/4ll/DfOkHefcDSf4mtFvymkOCKgSZLRuUOyR0pAl5bgIGgIIZOPInISqX2HLREphbRM2BCxORE1VE1Ga1j6wQi1rhLjTaTF0mdLWc3wqRvU5TDEMqgv+hpUAkkM6lcMY1NnTUnDO8wt5uRY2NgFa+s4PXqH90cTghNSFIzXqJJROFSx9KEilkIwGYenSopmXZHUBG076uLpejMwyHOC8QYjIKGh7jwqF4iZ2AyqL3UZk9zgCbCIYbZQFBTFrpgaqFOi7lp67UArSpnSaEVSmmwsvtsQRZO1xbURlQsr1UByUDSiE8FlispUJiDOUjy4lFlboRSNjRopU0rOSNcTSqFoQbl+qw0RaFxEGg8oOjWw6iQVCJYuV0SjmErEikWKYuQT2QhFC6YDPy0UIxgxJD3sCSyWqEEVhWKEJmJQmCwYA0aDnWiSGdSxjDWEbMhBQTcchFkDUnvaoinRkmIg1T2JniZlqspirCbaiImCK1CFGVIcStRgwyUZcqootkeXjqok6OeYVCF9IGpNIxnrIEtL7B0lGLStSarQsUFsxDiFjkJqOlKEGC2jogkmEcYZMcNhf8matSoYSdgcMapCmUxxCYkVWYb6SnJIyqjkGXtLLwWVBWcUSTQLp7BWcKqgJFLnGo0mBEMfe5LOSE6MekWMDGqIG4GYMS1o8tbofEOOkSwau6nIZjW8pzohjgwqFZT3oANaChO1RDaDTd06O3qryCoz8ppFDaku+DpQ1ODhbj7uMZ0iJqEzoENB54ioweFSAVSjsb1BgsbnFu2HNuirwKRrUAgr2xG1IqeC9ApDHmwBpYzBUquCsR4TM2Toqg2mToysYOrMhkhIQhUHz5IoDSERVSFpRbMeIWWNuEy0CpUVdYQqdsTcoFC0Sghq2I+nuiH0iaQ2dE6TSib1hSZMEdcTGo8pmc7IYPuqFKxOmKqQYqIkRewdogevk00RUi8ElcmjSCmGLIWkAxtdI6EwjcOBr1IBr9bUWQ/qralgvIIsxAK1KHLj8CcTlPoEck9SmY3bYHXGqDESO6JTLJ0hTCKVUUy1pVfd1lPeiDANFJMx60TMFiGhfKYYoagEsxbVeyQXkvLkYInZsWEyvLdy4SdXhVNbk+2Y2M8Y06JLovOKlAsozbKe0W0aQg7QGfSoBqfoRhkXLeRCIuJiofRCn4R2U5AcmecFVnmigtBN+LXvn/KdX33Oe989AYQQAkJCJ40AXeMRXWMpKDYE5UjZkOOwRzWp4JInahAMki3kwTnV0gWsbqi1ZWR6dBZKKkQU2RayJLrkQTm0qEHtOVpMtmTdDaq5kohFUWGxIgQViK5jLYnGHxERolKIL0hRiBjIHil52L7FgtEGp2uUziCDtpLzNUFpeh3xGKIexuaXha8MSq1joDGWkdaQbk8kdwf0wsDWUEDRQiFv1XhkK/TuNqmDqtYOtGL7e288WbZWcEQQuWVciRwYWt+CA3v5crsDvqvCcte2FV/y/+1jZbD5W9ifvO4FISXIATsmD1L+4LK3aZicnvLXfvu3eHF1w2bTElIaVOlE3sqYQoSSEovrK/6/f/8/ZTyZoFzFh8/fQduB+ZNKvlUjOKgyB3+3kjwDpvvQNv9fT0gxEXygE830yRM+ePaETz/+lJQGW1m30qOgZGDYlVL2xrjZAYxlAD3yXg68bT8R2QN++zHBFpDgjiw99Oftk8MlBlXPfJBnKUK+B5Dt8tqXa9+P5TaffdEOgYNy5/v9sC/aWzvpPnByKwy/KYDtwK3D9rsXdlNLDyovpewAtYdBsLexSvJtZsM8eKCKewFQbVX83vDkdggasU9/L0QetuMOFNzVbQ+GF2K+LaMSQYtC6Vt+5A6AujWwPlxVcqjWuh1H91kzB+V6sB0P4t2JISBqELjvwhq79B5orx1z7R6AtMvj/oh8EHyRg+v3ZPwHcKmDdfQ28kPQwE4l+vCZh8Ke6fQwvvBGvrcF3f63r2w5AA63976A4bQDEO6rn5UDRuv9Jt+nvZuzXwDK7N4vmULasozK7lTksCblTdDrl8G22TGdRtMpIaU9KPU21bv74UGA/M5i+Wb83/iN7/PNb32b9z74kOVyRdt2aH1f5/7WftSgDbp9529TVvdYnqXIwWS4CxjdOXzi9r1wCFZ/GbN0984emFR3Vb5vsa27Y2f/3IMt8YsJIY0xJHTJHLdjTL2itS1rk6lxNGFG1MM+0Qh0ZUbWiVIXOruhyoZnURMorCVzrSKdOx+ERsaMwjmjnJgBP5FEgIHuv060tqOrbnjc/goOQNbY4EhJuEkJ0TACjsl81s4oJVH5ljWBSgLHRbGMY5L2ZLke3IVnzbE1rNyaqBUJw+lSU/WWuq3oJ59TRGP8E45NR2cWXLhzzvzgMON6mlnLChMV7y2fYfQK/fiM3/rbf4MffLIgvGpZNhEbN1Q0nFRnXAdN5zu66UfkvlBrePJIk25esHl1xQ//Ty1u+j5l1vCNX3vCRkXWrSd3J7TG0VaJUb9ATEBJouGcm5HgK8X1sqZ8cIM8F1hA8e2gwrvpMWUwnhxNQ32kcE2G855V7ekr+PpC8Kkm0CB+Qle/AtczMha262gYJUwn6Axe93v191HfAIGSA+rVt+lXNTf5kvP6jHfPvsa3T7/BH7/+p4yCZZZrxGhETVAyZ1VkcOttekb6NZUfIZsp/lGNcTeMa0+5MohqKbJCHy2xmwmymDPNC2JO9LGje24YFcNRGEGCUGX6Bk6WMzq1ZNG84rHU2C6izq9pj2Yk3ZDDMeNmg1JCpSwXLEnKoN2E0eUCL5rzPOE4KpR4rCxZjwTjhGkV8L2HUqjp6Z3B4Ki8wzAlBY1cZRbVBVJ1TGdXZG8Rycxrj1dLIhWLZkpFh4rQ+zmLUKOAJ3iS0ZSQmbUblmeOojS0wEwhlaJaalJlsFlxFmtu6o5eCoUpdWypy6DFYWuNqmF8onAyGcwpeE0ZB1LIxM8E1xi0jejpkqvLGf26ouvWlEcrSt0zeQXWzFHOEkdLmi5RBUu7PkMphzaFRl2h+wpCzbp+iS4BlYWuGJyvByPrlcI2FmkUWl0SF0fk9Yy6ntCmG1ZhgRllrLMYNGq6pu/GhG7MO6Wmd4HWePLag2h6rbjqhUplJiowbiZYV7BG6CZTvBSyRKY3NbYDoyN6pemCoEVwSrGshPMK3gmRWhLOF+adwStLnw2X+YIqZ46S5vi6ZmMy55MOufHoAC4Jqook7cBM8cqjvWJ8WRGfDweSuWj6SY1NPaa/oas7KoGT0LG8tpBrJmXOy2cRFTOP1iOWT9f0deCGBHQ0NvP00Qr/yYx1NHw2Eh5vInX2UC2RkpBioLaMlg3ZF865oVnWaJfpjlacXdSQ4NPqCidjTLS4tUNCjyqBmHpqO6ZWFdpeU1YJXwLr6RXHU03lBkcQ67Wn7RKxVYwmDUZrVFoRR4loDPPLGTSeNO5gFjEbwW00Jm+YpRExV7wohWTLsN+eH+FXl/huQ2meUtY90mXO+lP6Rxf08xYbIsvOc9kqdD9B14KrBN13yKYibWaEoxWNysyKcP3K0E0zcdrTrKbk0uFdz7nTnCU47TVsxqwnPevJJcf+CSUPhrSrTlBVITSgLcSjKcvn72DqPyC0Lb0UFic9zo2p9RH6x9dEMVxNa2R8wbgSzuqaq7DCxzFBnsDpBh067Ms1GYVkjVtXBCA2EXW2wPwkQ4lQQddXA5uOU47NS/oS+aObFb/qHEodoRbPGc//nFIy54uKGD2+qvnk+Cn4ggot1esV7ukJqYH1kyVnfz5GusSFu+ao74lJscgjVpcRJHDKAuccgYYQH/F7//Zv8Bt/9RnHHxpWf+HJ68J4AiZVZAUXRy2j9QyXBBs9WTQ9QlglGl2oSqJmTad7ihgIY1QSstG8nPc8zZoJBmcv6daZ3itEJqSJ0I88i3jFJD+moua8WpLLGbrUeHOBw+Cw0I8Zp4YJGisrbkYrNiXyjVcVMSd8hlWIuKIQsZiYIGlIhpA3A7NWzxC3QYqgkqC6Yzajnuuqo5QxyAbU9Zfuk74yKPWH/9n/h+NHj3l09pT3nr+73czddb2uNINgUQqDGy8hUzBqZ/VJEH3oLvpQ5t7p+3BwUw7c82wv76XBgw3kzuD6jsW1o1L9LGHL8hiIGIeC0PApW5W+vNv0loJB8K1HieXp936T/+n0mM8/+4x//Af/hI9fn9P2PdrotwpAslWD8KsFf//v/L/4b//on/G3/91/j9/59V/h0ckZlTW3oMNDYSvMpZTp+sDVYokP8daO0S8xHLbR4L0p4/uWi4vXXJ3MORmP2MILO1IL+7YcEhjYQntMsgxmzmUAmWy5tR3DfaHhnlwzWKg6lM4fBht2ZI373bEDq+6gfsDeFR9sGVdbNbkDgelWzWsHq+wE3rxvn/uFuStuDXmrg8lxW728F8jusI+2QOxAKnsLwHRQ92E6bYHW/HYE4W3glD5kqpS3qb8eNJtSg7ptvs3nbYLxoF7Jvt13a8OtIfhB/a7I0KJ2f/XA0LwMAvAh8HUIgO0As51Z+FLutkDh7rh4o6xfRWg9WNOG77ftfAcPORCWd+PxZwr3irjDdA+L8POE+1PhreGtmPsDY+wAhPqiuA8xV974fnid3Rh8uNT31TE5+P62Ku3sqSmtcVX9M79Wft6wq3ff9wTvyWlQgw4l/MLzyilxenrKX//v/h6/8f3fZDafcXNzg4ig1U5l73bdgtt+ULJXxB8OcYDd4n6I7+/Wpd16fdfu5HAwtGMtI8NaewhCHao978Ld9Wo41NrP6LKzP/blYGHhYO09BMx+TpDx7/y9/ztfe/8bfPuD7/DNKrKQhnN/grY/4JVoPtWaLDc8DTXf8DV/OrqEdIqUpyxZ0FCYo2lSJkvLumw47Y/pVOFGRXoD18GRY0VxPROpmJQxcTxD2KDzijD6HJ2m1P2cSf6UznS0I09MFUFnegdNjugS0HbJsjthJXCpPEfNmkjiGsWjTSEVw8fVMUdLz0g0lRuj9TntJPHRacXj5Xu4LYj2sr4hSI90p1yagNWR0VjjripSjFy4P4dyRp7MCb/1Lf72v/8/42/+8AV/8k//GX9v8TmfJ0/nO07zDeMUuVjOkb6maPiLegl+gmTDR23LP//7/1feefEcufnf8De/9yGPzRl/+uhfUtIctZkyPkv0rSN44UImlKaC2tC/Fp6/uGIeL/mPnxQ+22j6/gioWc9nrGtD0Qv8CJQ2cPMYbhJJEp87TxMs75Lg+UtW60S7GbFpLUomaHG8033EYq5ojzRfe9lwqSpunKE/uyHHHhM3XFdzHp2Pmf5pTXm8IU0XxEdLmtMTlBf6XkhyRtgE0s2CUwxRLH2pWVdT7MhRGYOtPkEy9LHhUbNg3cNi1ZDbhKkj7ug1fjkjqx5Vt5jFGbrWSLPErSPjPLgRPy+X5GKp0jPWN5naFCbvwGN3RaSnTwtiPqUUjcoFN64JJRLCK8yHM4yvUVcT0C3KJVzT8bScoNqadNmQSqHXLcvjSx6f1OjcsFmeoHKLThucrDmZRygGff6E9TSjdGIaRrxue5QV3j+zxHUgYFm6KXOzRgv06Rn10+E90754H7WOKFvIzwyMEiUK/aXDj9rBltRmglv2aAnkk4CfaIrAsZxj4hMoI+KrTHPkySazXDpC7cklQr4mtJnohVE/xRhFajy+7mgahalG9M+P8AtBLQvHR1PcpUUnzexRS+laso+sr6HkFaiAao6Qq0BZZ65OF9CskdJzo46YraaoK8dnpxeokjFmgZ2DkYSUipOskJjJXeHl5JSqssytIS+XrKm5KXPmpUPXgh4rnuQRdUiDtzExxBzxoWDGG6SqSFXNUepY547Xm8Cj0TkuC3YprHmFLZpnukKahuRrwnrMVXlFozc8cppZ9wxpLXqjkPwS+gQbRT5xiK8pN2Nei8HU4I4S+Saga8GeZfxyBtoj718yDwknMHkqOHWE3mTKVUs7m4LJKPkMvcqobCnVhGclkNdCvDjm/ElmpYRX61OW0qFHhffOpixfGNZRyKPIbKkxMbJUN0hxOG04fjLFecETSRX0amDTMa6ZvBqjQuHyyWecqhNMmHDZTzgaX+NMJF/NWGdHFmHmI7ZYctKsPj/hOG841j0vzjry+aBqOXMdeVOz1pbL5wuqTcb2irPzG+K45nLueCzvEpwmqsxs9Qo1rpB6jjILgkR80pTzRFVV6Jnworpk5MFdzXktHaO1Yt5pXpwWskqDkfeFYGxExpEXixrvDOvKYB5fYLuAnFe048gYzZNcoy5BqUw/yVyWGlVm6KXB54RzmpFTuBCJ9ZpYXcMq4q5umH78Ef24Qh0F5rM1Ew03a8vr8xG0U6abwMllRygZrz0fmzVP+gmbNOIK4clnr+lngZv3IL+I6HDLFK/XcHQDTVa0jFn7p1TzQJI1Pl1yExMjf8HpzX9N3/9l+rGFX7FsfgT4Cuwz5nxG7BYsPptCqlE6QimMPvmcrCBUlvMzIRshBcfFJagYmdgFREeXFT92jijC4w8e83v/i3+f7//OI07nmsuXS1K1JuuM6mqKewGimdy8z3QdcBn0+Gs8y5FcMhrhKi3pTODzpz2dzpik+OByRtRCUY73e4NVG6DDX75LKh6N5z3dsghLbnLGjmrW8hqKcHLzDgu7pnM3vPNaszrp6UYt0y5RRpd0tiCrEcfleBjjXaDF0SXLtCzQSVOKYuMqmr7FdZHleLBPZjeeH48Vx/0JR77i5iQiOTEP8Nq9YKQUY/kF2pRaXl8znh4hWm8BlkLKCYUahGPYq7PtGUZkKAen2HJ/C8vDwszh5m+fJhxiLHv1rTuPPSCIHArSb5Eo3ri+lZd2W24pOybA7SZXSWFnEEmUMLiBAJTh6Owp2tX0IWH/9F/w6uKCi8Xq7afZBye1q8UCkU/54z/8Q56fzjluKqxze/sZDwlluw3+zktafqNl/vWEnUpWoeC9J4a4N/T9EAgEh8LMwfd929+qfuyevQ9ODUKLbEGsu+nuPZNxKFzcE2R2v+4DVVtp6DafLWuv7MApDmynQL6llNwKxgdpyEGf3YWndhAoW1Dq7p0hSbXHWYe5VO7EGYS8A45RORjTu/Y7BEtkGLNvE7J+WubFlwprBx4Gb1PdoU+3GIUqO6CvsKPo3DI55BZUOhBmZcum2I2DAT/cqQcequzdllcO2u0WtSv7AaAYGFRf1AS3lu12/XLYMLsky+3aeOf2vchy2C53w0PXd64dDu/fz/6QWflGRR7orjur6T1g66usJnL431d4YG+v7C3p3x+DD67hpezfA4egxgMQ7bYuZT8Hdk4xvnCsHwKkW/D8q7XGLzbsmTzb73soaD/OfrF5PX32jHfffY9vfOtb1M1oy1Yte5BpmDsHLbufw7dqkNuv++v3wx4s3i3A2/9le/Cz67G3jZG3AZgHV/bplwfuv43dtivPPX7Vg3n+tGHxuqM/E7J2BDMIv9NScBQWEtiUiGIEpUZwSIaAZ63X6BwpOdOXQlaBID1aOqKuUQJTApGIUpmghUlUGFUoGkrQCDUWBfR0WdNKhaUiSWYtHl0sLlc0scaqQFKejQr4UsgyqDxpB6UoXKjwJJIIWff0DPOw2IQRBnWrUGhNR1AaKQ2paCRb6phJuqeYgooFqwrGCEYZlrknK4uThvqDE9zI8GvW8vr1P+XHF6/56Adrgi6UWg1qZySKQMygVAJT8MqTLjte/3nmv9b/JV8bG57PxlRxiTYeqkgKQjSZJAI+oUJEVMaMI7LpCBeK7mhKiJ5SIsZsgDh4RS4at8xoXQhHPawr6C3RerzzZAMyKuR+e1Ayj5TUUUpEVRVKD0bPw3Zy6FzIm2o4ZXGGbjPBdBVTbzDBQRqMyaIgmkSSod59KIjJeNcTM8SiGI2G9CRltBKyKEoxSEqYlHElkmqHMh6Kp6ogoYiiISWkRIKJ6C6htUHlioaMNtA3muINJkdc7wd1HCUYETZGD/b2Us9IKUJ29FGoBBQJEwPpKCO2oM3goY4cKbTgLMqBGxlsFkDR14kUEiYmtBJ0XZFF44tBZQMx0lURXD0c6OZEkuGwe6oGFdZCIajNoL6HIZgGV0e0K9S1otCSSJSmhQoERbYrlBSU0pQ6EFNFUkKYeGgDpJ6oCtJnciiDt8MYhrrYjK4TaEjBYmLcriMNVZ+wFIzzRCw5K0LKqEZRrKKVHrQGU1BSkXQZVF2TYYzBqUKdAyorcnY0KaBTQLRi5DOSDYIi0pKjpaQKryPFeFIVMUWjTUGMRwnokjF4pA4YV6hVoeprCgFfRbJuKSlDMpiuRjJIDuAceEH6gjY1yUZ63VNTU7QmKdASUaIRqcjiCKXQeUMIARUVJhscGiUOoxSVUmgjuKpnbdphpQ0FNbUIQuwzIUSkCDaO6fM1QQpd1JQqUIyCpsJhKJJIjWEUNBI1MRVMaihF4a1Bhx5VFLZrcDUoV9CSUWOFyQptwWyGvfrYD3uIgMJsHMptMCoy8iNCHZGUmG5GaB+RFGl6wZqCTnlQ+w1QMvgSKSOFMgrDoP5byGg/oqiM6Mwk1WhjkLrgSyBTUCVRb6B4TSmCtgmfEzlqijIQMyKJqkoEW4gKdJdw2TDWjmgt2SrEFAiemBxSHEaBEgNK0ZSAygmVE6ERdBJMKOgCErd755nHJcElR8APTJmi0KhBlc8Usu4oPRA0TgpKZ7KDqBURQ85CTGMkVrgIUge0jYwstP2MbmNJyw6DQruAq1q6lSIkIZBpwwivMqW6IegaEOpVh88bxESKjej1CB0EFXs2OIrAUVnT5wQSMEA2DUUKehQYSWYWPI9XV6xtIgmDlzm9PUSPCi0anRM6RvpSQy7U2bMCihaqXFClARLJXVFCA0UR6pZvf/1X+Pp3vsVvfespmJrrLtG1GlUpMEI0djCAD6gg5CqQBRQTlAsoCrqfU0lE0JSU8JLIxZOlA+VBBTqdCDs1Ot0TlaeQMaHGBktJCSuZTieiZDoTUFKoi0Irgy2ZVDJeV2QCMXsoIxQZDSQ3ItgObwMhOlRS6AyuAFYRFHSuw+WIy5B1JJpAKIJIR06ZlDNG97jsqNMvEJTqNy0iQjOZYK0mxkhOiUHdblCRAdkLZyVlihosJGQyqAPDqOVW4nkYk7rdBJac95vdveOdBwCp+8/tpan77Ia3PHtfcN1iH3twQ0rZuqneGWGHQoLtgJDtxt37QDU54vHRCR9++AEjI/zZD37A+fW/gr2noocrLkpTUmBx+Zp/8P/+u7zz9BEfvv8upqoRpW83929IwfsWGAQBbbYUk1+gtPIlYQ8CKEEp2Y6PQbc0l4Exl3eNug37EgoH9kO2GMa2TYfbt2ADeev9rezAwVtB8dbuyHBF7egzu5P6+8wM9jym7e9bdSW4C7aIDEyhQ7kk7eKLbO01bdUCD8fvgSS5ZzrdabddSXbj8lAtblt+tWu2ghZuWYWHZRTZtu++OYay7VG9W7XYsh3Ydwz3c3f+fBkwdV/A+0Jj1l8iyw1g3xBxALPvAhuHYNJezZMdO2qrDowcsMyGX7uRsVcpPCjIPpX9dNwJxQfNv22n2+64XTsegMQPCrwb13Lnufs2w5C76XwlZtbumXLv2Xso0tv67g3G3lvG+y4NeeOZt4Q7+d1N96EyPKw6fQsn3T9MeHBsldts7oNwd+IfAsIHa0rh1lj228s6rCNKKZRsvaoeNtNBXvfL95VB268atn2uRb6YOfszhF1755z57q98j2995zt889vf5uryelDZM3objzuj7la9/mBu3gd7HriGyABCH0Cswq2dvnIASN0v430j529ktmWT7udyYXDS8CXrlFJqUDm+xcgefs3+jKHcjCCOkWrC0q6Z5p7j5DG5RkrLio6ar6GwdBokXtDrlivzGTM/JRdYUtiYFpGEobCwC0bASc5Ah9dCW3mO11OCgYXO6LUCGaPsESX9BRtJXIjiW/pocDOePZM0YhpHnPgx7fhzFtpzZRLFRCqvma7ATDQqK5q14nLiSTpiZcHGVLTGYMYttQjSKUbnmdX8nGw05KfUXYMLlknacN1EgmRSCyc2UonGlSM2+Rpyz9HqjPU7Ffb5U379W99n8mnkB//iX/Af/xf/lE9O5nSNplqsERuGHazOGLtByETTotaK9Y9e8/f+8X/A1z8c47/9AZPlS2xzQ5l2tIuacJzIJlP1CjYtus+MTjv8OaT1jOb5M1RuEVli3SUSCwQAyzwErE5svnNB+ewphBHIBavGE5uMqo4wKqB0RL/bk9sNxSvC6QlyHtBXgStTgIjLie71HE4VzBzt66eYbsYxGpenkKbENCYT8NqTbMKT0VmhBZamI3koQfHuLBKXQrfUmHFDFCGIkLqEih2VdKRHj8h9IS9bjmaRkGDTO0zckMm0JqKWCZERejRmjiZUwmaeCe2IehkZXa5wE0euFbrWFKfxoafr1kzdiFQaujBh1L9G92lwa34kiCmYzrDRgURPdh15doRUinFtkGshCvhJRyoBEggVblzhjaKdZeqPx+ToWUxukGo2uFrvWzoUVmWeyg0haGLOMFpShzmSRwQ9Qh9ZTAVTAdWviaWnnEZEGkqGvrzCMUUrh6oisnJ4NKtnkZoW8S1dJZRlRYlCHC/AR1SC0jS4k0R2hc0rsK2nCoXCE5oUcL5Hzc/pmNJLzeUmkOc1pobL8xYtFaayzPUYJR2BwKJ3jEQzroTo15TgKKHmdHNDGhdyE3jSeVJxBCpep2vSZkTu5tzMF6SqJ1eBWRaU8mTjsTKiJhLokGmmEs20OKQ94WYUuJ50GLfEtg63arCLGdqsiW5BeDyCqKhjwdo5fbPiZrbgazwixMzKeyppUVKBHiFqQh8VlyuLTxeYXNNozUkyaF1hq5oTAlZ3qNEVG9XhsxBWlubsGWqj8J97erPB5pq6PMZXa3Lx+A4qu0Fbh54fMVkqslZsRjOOZETuMjf9GuIx3gjLWYfrMnXQTNoJ5h1Frjwp9NiZoxZhXoRu2SLRM99ErgRCFvIrYfTOBqcLx4szlvMbyPDo00e08RU5d5xc15gGEM9ErVCtJSjHRm2w88FDo+4yGw0xGZrc0JlAUZFH7Qn9qCKOC8vriJeIKpGzl7CsHH2lYLwmdZHcb/fm68FsjPtQWOfCJiaqZaaSmsZWXFYNySQygeoqEF1NchXHxuKdpiuKSepwxSPAx8dgLoVqWXDNcGCgfabMAq6uqWwF3SV9sfTFIUYGwFYVTH1DzAHfF2ZKk50QGmG9bkAqVND4NKLkVzhGSL2mUh3jovhoeUa/6MnLG8wooGcRTiPLjx0pDu/pC2qyWcPonOXka9SbltlnHcvqhjTOlHnELMeo1JNZcVFqpiTe5wUf9Y6sFI4K7+Yok1DjJcc6Mdqs+Ponn/DPnkT6nHE3F/ROSKlCco3DYkrAeM9N8wxTMsf9x2y8ByVMKJR4hi+Z3l4jaQYoZNzyb/z+7/Nb3/sVvv9szh8tehY+M02GylnEFnxTQ5LBDh49/XFH0tAsemS0QESR/TuMFDTSI5tIdNdEaYlcIjLYVDuvPdpX2CQcm0tilYhFk87foYmOWjLKfA4WWpW5Gl1z3DdMUkNuBCsKInTVnJg9JXicFBBPEijjJ/iqpbcb9PoZJmYqEuOc6BtDayNtuaHOhiorjA7EKrIxGxrv8RharalMpOk0Tfewc7DD8NW975F4/eIT+tBjfvMvMW4aKmeJKW5ZUINdiVwKpHQr8W83gjlncs57G0tvEwYe2sDvrh0ahb4fd2+4dJD+D1T5eFBAesgWxV1Vn4PndnFLGU55tgBUMcJeLUAlJA98lRg9MUCnhN/63b/Ot7/3PT548l/xD/7on/Pi8hr1oNcitpvp7WY7Bv7Of/QfUVcVOkWul2u+0DYVIKJQ2lA1zVs8I/0SQxkM3QuDUepbY2Nb0TkXyGlrN2gAIfZacVvhZGcDX+0xu22/s3dECHqAsnLK7EQadcDGUluAQtTdbpdyK2Trfd/fPnf4ub12AHKJ3NckxWwRgKEkQwGzbA0jb+NkdeuJatd35UBoGmozwCkqb/t/N3T3QreQFRRRe6B3F2EAloaSHjoJzNu2PZwCb6jjbcfIHZsq94Cp2+69++z9a/cFvVuwbPfnYfBl3wMJZAss5IOGFhmAzkFKvAUF5eADe796w/d9PNmPtV1ee0LbQ9NoC/5JGVRBD9lnP621mZ1A/OA6A3dSeyv4dw9AH4CXt4ERd1N9m92dw7TuZiVv9Pnbynffds8b8e7iNnfAt58GtJF74PuuPUW2nlAP1uVDIPUQvHioHd42xu+s/wdrhDEGYyzG2NtyPFjiX24QGcCVmBIpxl8Y2KWUIsbIZDLhO9/9Ln/tv/O7PH78mKvrKwoFY4bZcB/svK8eyxttd7fww3p3H0g9XAtkPzH3/ckOHCp30jksAxz2abkdMoU3xsL9/3PO+73I7n+RMhi8lVubfcjDc+OnCe6HP+J8fs1/O/8zRt/8t3jHJozu+SR8g3VJgOdZEdbqhh+rBSpWCIkiEYOjqBVKrhnphq7MWOdjxi1UKqKM55qEK4GTnPHG0lHh+5qn6hUrFXihCjQOE0eM2xkX+lNiBokNuZxwozdc2X+FW89ARkxtxcpaovSsx1e0/YxGKY6nmfdaBzSgp7ygAVMYl47uukH5zLGsETeiqzTnxnPcB8RFLp5GJtcVikSYe+zKEpPjBY4zgapE8B6fWkQUfep49u6/yVH1qzz+Hx/xf/7BH/Nnqyv8aeHJxwVZGT5Zz/DNAqMyT5ZP8PMl0Q1qrf+3//A/4O9OR/z6yyfctD21LfjnHr2u0StHJyNcWSOpZ31Rk99/yuTkhN8fdfxBc8OPx5f4pz1n5zAdnE5ynirOo2b0pzf0KRFUpDvpMK2mvnaw7IndiBgc7uNL4kkgzRMvP7tA8iN0dcrxzV+wLjO8mlCfKpgpmBQ++cv/Fd88fUZl3mVharJ9wkif0aRLRjcRvQSKUKaZNINF9wyTPK5fgl/ThxGrVPG4TMl9ImwCL9+5xorBMSfZhnHbMPczbuQcqTLTSmjXDXHZkV5vqJtnjOvAZPya67lFusLsoyXxvSW6MpTJMauNYOtAc9RB/znjfjDC/mptyMZgK8WiXVPEkx8Js3xMvS6MrgU5nqEkMZbM6ybggyH9hWP8rKJykfe55kVv8d7iaVjMIPcF86qgpp+jK5jXE/oLRxUSz5RnrU7xBi7fyTw5LzgccfSY1tzQxyUhReZrQ5UyMulhfUzKM7rTl8xFo7yja7/JolYU1eP0CnUayTrT41GxGVRXJi3zMEd3js99z+NyhDOKbnKDmGOIBrVeEktGTGY62RDbRLeJLE2FKx1W9Zx1E3QoiEk8Vo+QsKaUDauxYSyFSYG0boi5cFki5jjil4aULXJ0TG0KRsOyeYzPkRR7jl8bVg7WTSbFEcd9x1HYcP34hqoc0/RPqY8zG3tDMj3msw+Iow39ZM1oLFTJM7tZYZoJpjKYR8L4k3PK2JMfeYz7lNqNmI8fIeqCJgtH61MumzUhanzncPMOnT1llWkeW1Q2VMrB9BEmd7j+Jep8TgmJabqkJuCL4zKcYfMrJsow1TNeVpFiDZOvjTBdh4oJ7V/gVlOiiaTZhqN8gnjN5qbw6vEVNlWcfPyYvmppdeFiPGbcKUrnKbIgjhr8GNqzz5BNS9lkumzoe0+lFXqmGY82hKC5WjyHOtC4wCRcol9rEMNcYJxOBibQex6zzPgIr1Ecpx6joD0z2GgoxZLklJMl1OeBFF/jrSLYRPPkmtjOCFlI9pyTRcXcKzoCbRmTsOSxR4UpblMzV6dUk45QBy4vEm7eIlXipZxiiRgJLOeCXCrqlSC2o3c9VIH33xVWNzes11dc10JfTSjNiPc6xU3xLPIaXsOKTDvLPD0ase5rVl1FOXdsRonYJN5rLHpTiG3PpPP0daTYhL2aEySR6htwc0xsMOeOrntFHgOPDG0S0sxhJ18j//Gcq17RkVDpBXUuMBqcktxcO64uG/J7a0ZimYeal59VxMpT5oJXn5LnE+L865RXr0hrTViMCO9cYnzGXjWc9JE0yfzgGcgLkIG0SPmkIox7Vk881cUly5slf2ot06rgcubSDka4pVHwuOLZq89JPvFxecS4e4UxAT8Hu3SUq0Loe8a5RU+E1VPFeBF4v3nMv/e7f52v/ZVvUz2b8EfXFxgXODGJ2AY60+GwPF9PWFYLetfTzce4MiUVoLlgsh6hYk1rPQslFGU508K4nEFOjNwlmIiXQvIKWyJaLHV6nzq8xOsln51+zFnUNMVwaRvaApnAcykkr+mLIT9uyckgXvPs8pKLI007m3Fy3bIpNaE4ZuHHjMsROn7A0WwJ3RrvPQumSPsIu3F8o75ioyNrXfgwPCKnG1JZk+2cph9jfcVVNlzqwNXMf+k+6acApaDfbFjIBdfX1xitGY1HB0LoVpWNW9seWwW+vZeuw03goU2ItwlE9wXhr8bk2G50dywDuQUkgAEc2dIj5AAYeyith4Sxw0uDHZMD4VsXBjQmb+sPuJpmfsI3fuVXebFcU9ef8ZMXr94uiO7ThuXNDWulcMYQYnxD8HpbsFofMEr+9YTtvv32ey5IzuicUSkPxuBT2qo8bqVWfaumIaVs5Z5bI+I7ZZH9971Qv7MXMgS5L1hSoMge9JIDwEK4Bbhu1Q23nwOSUhb2QskOoTy0cTKwb4ZP2QNTA8i0tX/PzlD3jsNxaLT3VkjbKoKVA7W0N7puSCeLDOpKsqNODeDWfqyVW4FMyY71dc/g/0Psm7s53QEEvyg8pEKzu37LCtvDM2/ktH1oT0nYxToEjETufee23/ZjpMida3vBdds/tzV7sAS3KmC7nrpX9S9rifsMo31+h4DcLcZxP9qDAMcd0Iq7ANe9pO6I+XsQ8AEw7IvCz6Ka9Daw6rA4bzxzJ97O59+hrae3NAgPAFq7IZQffuSrMP4eCnfW1x0gwdb7Hrv15+1g2tvK/LOH3Qi4XcN+kbBYzpnpdMqTp0/51V/7dWazGUrrwfvVbg4dTOE3DnF269a9e/drMMxLOZjPu3fxtnr3PPEdMvXK9l27Y1TuR385ePdsHz+4+6VBvW0P8MDa9vOq743alvzZFTf/AsrTHj+1rOqKVrdkLC41KH2NUh0iniSGSMSXhC+FIJpOWc6Kpc4OSRVaIEtkQ4sqFSprJEU2RgglU7aHhhqNK9CmhMuKKZZQLEpDZS2ECCoiGjQRwVCyRQSMFMYF1qLIRWFjIaqBmZvI6KoDW5DkcbFCp8G7n09uUGVKDpUDaEFLjS0MamAh4OKIPlmizqhkkFLYKFDVAA6u4pJsHWru+OZvfIO/qluazz/nTz7+BBMTSmVkErAxUaXCqA7EABSFqRM3r27oLjbUnWGdh3ophLJR5F5TsqOodpjjSdD01GbN/FHA/SSiVMLZ7WFjUvQyRSE0BaI/oowzjFaUpiC9IEkReyGnQskJ3SZYC0o0tQv0ZTCMm5Qi20h2LXmkaWJDs7BMHilGuhBKpC5DOsOnQgeD9JBTR6o0OWrs2lCFlpoOuXHYmBmpFak32FSYq8RKFXRMuOBxLlGpwTu2SEJlhUkV0St0rymdRVcJDehsKb2lhGHfbto47GFKjSkrNBkRhw09qhR0pRj5SKKFOpB1JmYIQVFtNDZnRGVK7CAVVIJRb6iCkGJAKTucBmVFLRExhVAJKip0Eepao1WiZCEGS20VVhVCNlTFYpJG/ODhKaoCNmG8IntBlCUmDynTo0h68DA4TTWiLQmDKo5KF4oxSJlgPRiVsfWU7BwoaLoItpAkMe7MANJZQVszqAPmQqUtSSfQCZU9wUCvoYjB5kBVCmWq8SqSYiFrTVVqVHYseyHUGXTAFYhZEZNF8oishewy5HqQaXLB50imB+UpyVB7QZfEukropFDRMkoFS8CVwRi8LYYqTFFkItAWjXU9pg9M+kxuRqikhsPgJoJTKLGY4Ei5JmWNcRndO6pNQ1dfopOh7g0VniiaVimUGbzRQSInIcRMDgFXZWIZwNxeBSICMrigt6VCx4aYV6gSKSqjq4QqgoQK7QrFCcpqVN5qquiE7h06OiQU9NhjdMIVhZHR4CnaaupssCEhpScWR0IG8yLOkATWncfaREYPnv8MaC1knQgpQ9HoJGRbSA68LtsDaKHUCZ0bHMLId6SSSEqoq4TdDLa+ihbGThMrja4rqk6hUib6TLKKpC0mNtitJ76ORCRC6SgZTOsRnSimGvqbhF3lgQ1DZmUGlT4tkSkJUsT7Qt9VBN0NHvSywPagY5MVlExTMklDRFOkIncNWoSqCviVxqaALZ6sRqSBWMOGNT47+qQH9dcMKmtiKNic0QlqcYSUBhVM5+iNocMy6RLLPhOUICRwGWaFXGpyK+RVJq0NSgx1suhqRZZE3sxgtkYnT921pBiRokm6QgLkaPB5hJ4uEZdwm4KLjhgVGxQq9zgDk+NHxFrRTQrtk0LpHNELxQuWNZIj2A3t2JKdRm0GuT4ryMWQdKGogleC2kAKQrlyfP3rE77z7DHf+P6vMh7VlFRwsaLRkawKVxZcNlg0UjI5WhJ5UD9OBskGFWEjGbERO0pUKUIu6Gi2h/MaoxqakDCq0I4zzhds0qhs8FvWpMqJzmSSChRjaLygo2GUA32Og/p4NqiokaTIJmBUoQLaph48xuaE7ixWGbIWbNviyQOwGjNOeTQZ1OAxslMgpadkTcojxFqSjkQVmRRHybJ1w/bF4auDUgVC1xH6nvNXLxmNRpw8eoRRiZQHN5hKJwa7UmqY7Gqw93L/lPrwdPLh0+ltlrncet46EALub4rfVHvZiuLCILAWBubMXmLfikJbnv6XAkSHv3eA1h5g2P5sGTwiQtl59EmZZRewpuLrv/XbiMCTP/tXfPTZi4HxIm/fQe8EqhjjoI99jyX2UBlLGbzaVNoM7f6Ftfr5w20bHPQFbFlReTjdCAEdAyVFSk6UdChFaJBbdb1DoEWxYyYdiOAy5KMKAyWqbDlJe695soWHbm0wDSyrrYrJAcilZPs5qM8OWNpBi2UL7AxFkwNAYfDitk10q7K3fU7kIJ3b/2+rcitWHtZu53VyV8oduHUbb2AD5Z2QeCjYl50dt7w92b/bL3nbGMKgWrhv0fsg7xZo2wHKO+Dvqwhkh+yDfXvmvAWdbstze3ebdx5YCTs0rWwF4FvVTQ5syWXUAdfiPnvtQQFz93dPtWPIa98X7MFlxZ3i3hkvtyV+M7ytbW4BPh5kZt1ljN2NsANnZJvxTqi/lcJ3c768kdZXKeNby3ywTn+V8Pa63w17lVa2BxC7G/u6vLkQ3sKUQ5+og/El23FSGN4RdzzuPTBev4gFdh/suvNu2pYql0zI6eHKHeT7ywq39R6M+Q+fn9+RRSmDR7+nT5/x7e98h9/53d9l3W7ouu5u+ofv3D06de/duF0/9jEO5tFu1buFhncvZe6Ngbth/5Yt5fAbIJS8U/7bFWZ7fTfz7u0Zvqj/3xgzaq8zfaetfp5wFALLH61ZvgLz/Q3eHXMxqvH2NS4eU8VTsv0EI5qxNFyqFghITqxLYiWWaz3jUXKMkmMahGIM1ypwWS44kSeYXIgxsJwI5IguG1Kx2FJxnDW9v6EqwiPluGRGNgWmmm61QpOo9ATbtJAysZsiNlMXeNJZ/kIbiAq7Fq6nil4yfQqMJj1aMtkr6my2LNPCwmtScLg8IqUOJYpRGOGSwsWearlB+qPBHpC5JqWKLgvXlWI2d4jyXLcXLFJmMtb8zm9/l393Pufr//In/Pk/eYUOPbiMenfJ+C8SowCjpzesFg4piuakp72u6Hr4Uz7frusWsxL6ToixoLVBrMDWD81485pZt6T64F30vxq20E2BWAqLIlzKY57Iirl4/kKewPErOL4exu52yPReQ4loAqbvkOsK6SzP3s+89ksu+yUbVxOnPTLZEG3F+NzydDnhW++dcJQntFjmqSIHTdcLfTnGhoyExCb2pK4CO6K5gpH1jNyG8PodGrdkXJ9zuamYW8VJLZxHTVkG9LKjGjUkpemdYEio4DDtlGqdUFGjqVFhg+iKoufIVSRJwVeF5iohyiCmpkmvkGwpcY7tusHr7Exxsu7AJJgEqIS+c6zOKyabBmU9YVxI/TUlCikZZosKVRJFr7hGEYomSY0zS7TraY971I3DiGV6NibdKEKn2LSW5njYPy7WjjM/gCbVqqKtIn3d4dwSd12heos1Y9qyIeVIZk5dtzQRHnUTLmqFLwPAVduEWEWbzmgW55SS6R4/YT3OlBSYvY4sTyJxFDnqDKsx9DU0wZLymlIyo+aMVEERD9f9oObiNCOxjLtMlTOXTxTrdU/fBYyqqdwMl2vU0tPZQufWHKVISRUpWnxbk/UaGfXYazvYBRKhT59hbY+VSJBjxj0ct4GXxx4pgqdhHnpED8aQZe2o8hGzPKOtzwkK+mww9ZJJDEyTsFJTchDKJsI8IXoAXG0+JcTEOvXMGkFFi102pCOPjhnXaaal40Y5VraiNh1FJ7zLhJcjkg+kmDmeRbyJLFUip4IWj1MLdDtB+4bY1vhygc6R2CtsE1F+jGpPMc9foVwCZcntBiRBlRlfvYfOjkSgmrQoCeRFQuuaYA39tGF2YbA+k4m0kzOC0ZA3qLkjpcj565bZsaCtQlUZWzmUc2wqR582FF9wS4GpJ9lCHw3aa0pW2MZTm0eMgmX0WcdlFch1YO4KrgYthSKak5mFqmLNEVNWpNBzHTX9WUWpG0ZXY/RksHm3vNRQbdASCX1GLTI2aaqnR7TZE7vI8aLHuUxxiYsmITpgq8RMekiKm85w3Y6JJ4V0kqkvNJIh5sBFUpxQOEaxmmQ6P8L7Ce2Fw84XTKZrFkyZlEiVOzr9Dl4MQcOF7kllQgwT8tmn1K2hWTX0XUIkYXRiouf0vWdz2dPNxmzMhlWE034D0bNwbngxjgv5SSLkEfo6UIUN688rtDga5bCPPiP7Mfn1Y5h/hOs3HH22oaXQ15Y8NbCwpOAI4Zj43oJxl3j8CVipWeK4Loq6vmIynvDs6dfoTkeszYL8jcT1P5pRVhVKHE32KBOI6ZLzp48hZ1x6TUKT0BAEP+3ILiNKsflUUToDPx7xV/6XT/j13/yQJ7/+fbrlFWUReMwRug+0JvP5KDONNaOkiNKRfQPRodSanA05j7DhlNfNR+RqzfuzGdUmIF1B1mNyDcUotDrFbhJREu3ZGuszLmiSJFZSsQGmbWI17Yl15Ei1HPWOxhty14MEtIK8GQ1q6bmwHmdq6Why5tX8KTatBpXjm0dYq6DqMZ+v6aY1/WhEyJHK3GBUYKM1rVg60fTlmpBn+HTEGI/XC1q35v34FKIh3TMZ81D4yqDUoC0xACMf/+DPuHr5gh//yz9hPptz+uQZj548o6SwdXN763GslIJofSA431W12MV7Q4gotyBS2RofeoiZcQeg4q4K05Y+Mmyodwwp2aXNrXAqZasWxoPp7wRDuBUO76qKpAPRVSi7Qig9GH0rhRc3N5x993tM33lO5Sx//x//IZ++PkcZc5v4/bBN/6uKHqVAyQMr6VaI/eUH2WaeUiYjiNE4p7FG45TCpcGYqIoRn9IAPIhAsVuwQDEADoJmB1INIIsSNVRDBlU4tRVqlQx9rfIAQg1dewApDZbIB8OOck9tZCvgKpGtxz5QRQYjdwwCdIG9IfM9yLQFoLiLCW25cQfx5Xbo3QGlDogA5SDOHqY6BKEOAbNym3fZxtt5/stitlG24A4DWyptcR7ZesjcWUK7I9ijtkSlQaVy8ClwKObdHz97iOWgrDuh7xbAuq3DUOC81YGRnS5MOUhJAKVuAavtGnEn69102smd3DNqfwDYHjJoDr1PFrUTmN/ApG5JGmU7qErZA3s7VsxWwuWnDT/XDPwK2f2sYNSXCdhvS/dnFczfxty8c3Uf53aA3M/ti8CFh8r5EOh0P87hvTfYMmowqlxbw7xxyN6G3S8PgHoo7MoVYwKl0MbgnKNt25+5T3IZVBOPT075W//Ov8P7H35A5/vBHuCWJXW3XW8B84GheLukDe8pudNvO1bTLR68nUvbBX2nxjysp+Vekx5wLB8Ys6WU/ct+WFZu15+yXVgP63Bffe827he33S8SaHxVVQPbtQ/8P/6P/wmzb73PyXff57c/OCKPCnEERo9pmHCaj3nHwFqfs9KvOMuOeYTjLFSc0umOZfU5izKhoeNxEdbqkqyOaNQ71PwYLRXOnPBarmmy5SRUTPM7RNdzVX9Ct2lwfcXsvOFydDEYeY41WllydgRGvBs+x2RHiB9iq4/AKW7MMQaDVp6mWnD0aoYUS3QKLy29i2xcoM+WgqLYnlFf4XIh6MBy1OEj6PSIZTUIz99IU7ojyCpzSmC0eErOgdZ9hq4qQrZ8tGho/sb3+P5fecr/7vmKv/t/+QM++vNL3vmzistxT5gl5lMwVz1lZRm37+KzI5aITT+hfaxIjcWFM5xZM04t70w/YnVj2LSaKzSPl4lZU+EvvguLT1CrlovXBTW2yERTXb5gVTIrm+HdH8P5MfzgA3K+ougINqHfWTM/LzSrwqtTodg5mAk/Wv6EvDhBrydM48es/THpasKkfIw052xmK1b//ITp7waqDyKVWdG4yLjWzM/XqLXHdJHxbEPOkbQIvJhcEF1PchnvVph1xi4aqOpBhckW2puaSeyYy4bN5TXZaGSkeaTH+NCwThVCS3WSmJz2yMdzfHJciqZ+FFAlIDng7AgpFcRCePIOyniMamEOiAUzgtEYVITYQutxSnP0qEZJBzribMXJpkfaESo+gdPFAAC3z5nJGnIA6SlHz0AsR2SYGhIBL9ckc4SKivE64GYdxiQqifg5JCVMSqGU08FW0MtLqqpHjTpG1TXrC03fatZNYGojrir4UpiriiMj2GcLXplAW0BtxpzPhKwylfuYJ/0xKmv84x7PjFwqqllhsdKE60RdrgjKUTSMRq9Z9Q0+NGRzwqjyTExgfNmStBAqzdlCUVcjNnNhuai5KhGrb/ja4ytuNkes10d4+ylNrpmpily1ECcQpni1xueCFMVUB+hAFcvk3Z6N9FwkYfT6XWq3xk1WrK/nrF2mqwqPwjG6CoyqV8w29WBg2QXcdabFcDXTGN1SjRxNYwhyBEuFXGtSrclJ44LBv8hYJUwmPbp7l5AKXZVxqykNivdqzUs0bpmYXRVuRhXWjRjLjEU6J+uIG8PR5zOkUqQTYSETsB7rPqZJU7LPbLqWk5M52jrihx7PmEoKj5RA1+NzoOiOWK4JtUUeW4QjomTWxx32RlHajFkUNo/WVCkxf12zSOdYazhrZoRXik6EizPBXj3GRUOoPcl4oh4kE1MmZB3ws5f0mxNKshi1RB83aFUxCTf0ekVvBH3iccs59Y3FrlegA0llLAr1sqHoGve85eI0ECeJdz6PvC4LbmjRseamQKTwgUAqDSELN32LPVHYEUzNS/rXFpYTRqnmRmf6lPnw9ZSbpuflODBdQ6gytfY8aS+IG4jBUp0+pb3wdEtP/2xBvnIsFnOWmwWNcRwZx/rZOTZo3M2UxIQSFdJrLqoXjMqER3FCI++zcolVFdlsTklaWB8rknpJqz1Wec4uaya2YtZMeVUgaIcfabxszfNtQ+obwnUDL8eMbMfpqecnkxUlzUlxgrsUzGiFvNtx3QVWbUPLEeVUUCWg2xeEs8H72/RFon2p8WnCRzTUrqPIhpqBGZoWKzb/4s+5+Td+F7s54i/9meVfes1KNBHH5uwIU2eaUcXZiw0pBC4UhLNAjob86YTJC4/oQqgqfEi4J5an/+YZv/bXfp+vP32GDz+A9IiEsGx+SCpzRDW8R0+QRNSGaeWoOyFHjV8/QZsO8MSSmDAi55r+KtHEBnTi9XufEfMUFSuWK4OZJ5TxzHKLmiTKWJMZM13CdO2YC6yXhXYNXRY6YyjO4JrHNLqgS6G8grVp6WyEPKFajwcj/eYV8/WEaTeH05c4M0fLGFOfMCmK2kMzXiFljMpzTjaXHOlC1IXPpDBmxVHusAtPNJlgFC8roc6BOv8C1ff29haKwncdy5zxbUvXdpi6YXZySm0G9kjZxWcrzB8YGYW7YNJOEN2FvRrATjQuB58twPQgoHUAWu3YS7v0diyQws5T18H57u4ENu/SedOLD3c5D8Nv2QmrZS/s3m60DzbRolA5k3KhKEM1nvLN7/4KP3nxCkXhk4urOyfyh+GnEmh3wtctGndQ+l9OuA8mpjTYlNJaD4aB1SAQaD14DygiW0Pd27EQ4wAoqDwYSN+DRYdAzQ5MlD3LYhCMBu7QYENq64ZcdhASUG4FKMWhHSm5ZU4dglKyU8nZm0K7w5raQV47tb5DtoeSrWrdNl6S3bOyV88rW/d3t6DStpjs6nowJmEPJN25yG5sbwVCkYE+LAz2pmQL7pSh1KUU8hbR3RlhvyPY7ZIuhwbeD0birkHuDSDZRy4H8WX/+H32zkD5H1hcQ2MOBo137Ae5ffR2HHO3rPt5esAo25dxK9nu+nQHPu/vb/8eMjzu1Gf3W96sz7C03K3PQ2DGYXhIkH0bMHJbhrfP0vvAwFeZ0A+V9edVP/pFhZ2toCE80CdlN2IP63pvjO36ZOedlYfr99AhyEP34QFQaldCUWilsFrt1/xfJivqzXC37FoEvV1ff75kC01d87Wvf42zJ4+ZTKd0XXvnwAUO2nUPoB/c481ru7B7Rx56VpUdCsUOcGILSsHBInRY9a90tnIIPu6WrUNj6A+9X78s/CJU9g6DlWZQZyrC+vqK/IkiEfjxxTPOvpF5/G2oywxDNaztyROl4MWwVmuECpMcNy4gkqmSpmb4v1OGRCTTEtWScevIytKrQqs8BgXFoktPLB0ht+gyhlxoaalCjQGaBEYXYhFCGjbNKcvg7UmprcMVi5gwvBH9mC67weOW1hg8RYHRlpnfvZcTIgEkYfNgPD0JxCJk61FodG8pLpMEpNUEN6jmjLFk1YDShKrHpJrGHfGdv/SbfPxPztFB80c/WpMrjURYb4RQClkJXYmEUkHRjDDECCUIxMFjUzaB5AM+akJRaF3og7DqNTdUeGUpSiOeAThRg/ezKB4hoftM9hq8xWSFcoIyhYlP2FwDluQ76pxwoWOZZojXmBxwpSAx4FRHmBYCgc7Dx2uYbhpUe0yrDFFllHRUxSEmouuM9ppeoJeE6QcMSHLGdIILiqpoDFC8Iq8FjCCVQVNj6VG6kF2h5AbJFkeCacSNFNqOkInD5IL1LTLuUBlMNKhoEVUodoOiRqJGghpU7naHjM4OB7zWgxhEaXRloBOGw0eFURGMAm1AImiF1BqtHCRF6RWMNChBioKYUKVQdIWPNZKGg1qXBKsV1mpKFNARVbWoPOx5nKvQLqAsaFvRGIvKkFWklhEGwaeIzQqNptgpTiJkEBmTgERHvenQIYModKOpcqGkTE4WYzJOFUyeUZWOIgFdZYRMUZnQRSptcFZTpCdpR1Ga5DNZKzJqsPqx220GiyuGLIoEqHpwsKR9RaCQBHSuMTKY6Ah6jOSAyhmLQ7KQs0YXjTYGVTvoFMZmnMn4kjE6YqsA0aJQ6ODQeuivpBoq49BWEBPxvUUnwSJY5wk5g8okU7AGlC7oFMiiyY0ji0YLWA1ZBhZzpRV1VbCScTmhTINRCeUzITtMKVgiLgUgYtzgKTKIELXDS4URMGpDjUYl6DaRKjlEGUqlcdNhvKQYaUMBKTQ6UuyGrBSiFWRLyprW9CTdI0DsBasLxRSc1SQX6U0m1Z6k7DBeyVuyxbDvdt5A1CgdyGMNGqr1IPRjwNQGnyCGgsIRjCCqMFEVJQk5BzZdIuhA1ok4MZg4qK2FmHC9wxVB6g2qL5gg1Dmjg0Z5hZc13jp8Y9hEAWVxGVLyRLEEo9k0gz00BZg8BulBZ1IbyFlAW1znhrmydVamUkLhcSmRY6GLoAmkEmhTwqga5Sy5UaReIxLRKSKUYSwboektFE0xiuQUxWSK6hl1Nd726LMrnC2MomCTop80FNH4haJqOpTpCRKYxYySxHXlYVmwXuF6yzpnQtAENJNgKLngfUF6BalQTEAilCz4wuBdUQ3OyHJu6LLiogiiOrQVSvMMLdcYNmAKpSRIkPtISJ6cEyhQXqFiQZUeHTIlCakYlESmE813v/0Bo5NjaBpKXLN2nkDBE8m6wyE0AVRSFNH0daGuBg+5er0BFSmSERIpCVEpetOj9aCxoopmnAc7xrYZCBoJRb0piIaiC8m1NOIQ0fTTFlsKOpvh/bQlYZRiiNqTiTg9yN7ohFSBEAfcxgSFyRqtNCtbkNKjkpBHhkE7KRFEYRLoWMg0RBRehKCHdd1ky0ZAVGHMcJiqS0JK+tJ90lcGpe6o5aRMt97QrlYs12uqyYTjJ09ojo6G+1uK1u5v2rpoRUCVndqa3GFG3Kri3c1XDkCpwhZ02e06uV0obre6bBklQ5ydWk7eAVMPAloF2QnLIuy1FrY72Vu2xE4w3kIU20wV6m56B//v7GFUWtG2HdYYPvyN3+J3rq84riwf/Zd/gDYDFZd8h1dzUKOv3En7/IYW+OULTod1TikhIhitGVh1Q18baxlUyzKWPHjly4US49CWSoE1Ww9Xw6AcPF5t9bVlUIk86OGh3UVQmEHfnJ262S0YxbbPtcgdz3m7/tzzaLZ5DYDlgEZtnfzt7bXvmDNJuGUp7Z/fDtEdm4Hts7ItfxnGZN4BVHIIut0KfDt1RdlfvgWLZIdm7QGpbZoyqPQVpfaqgwBZAiVnYi7Dho6tEXbJt1769tjT1nvgrnl3dr/2gt424oEKI/lNwAyBku+Oub0b+TLoNhQBSRl2HgR38567Ybfe3PcQeHh/10a7ZlSiho3sFtXcr1lK7QXnW4ztNsehT+4CUYd31b2Z9EWg1ENqjG8Tbr+KwPsQs+dt4MmXPf/T5n0//FKAmHvFKNv1/ValdBftFsjYfy+3xw9fVJ8vYuV+lX5RWxDI6Fs1tIda4m1M3p+33e6AQ0owSmP2Y/rnSBeYzWb89l/5bU5OTjBGE0LYr9t38j54xwpb1uIB0H8Yd3dlhw/v3qfDvDqM+/Z+uGVV322Hu6p2t/P1IWbcHWC2lHteUe8C31/WTw+tUT9tOFIz1lHIEaR+Tbz8iOuLT/lH/gN+/b9/ydmvLTkuf4WgMmu1YeUXtBJYq4rPzTmjdEqT5ry215wGx7vdnLG+5tplXivHpAS8LNmoNb96+S6t1byeRLzZ4LAkKqK8ICRP6jOjpPFELvSSk80HNAVGeUOqPH3OhL6wKg0mZ0Z+QckVSjuMtsTRDUQHN085r1uUg1ltmGaLpUIYcdR1GCCS6dWaqANNyChnSarQxxaxHimOPjQkF4hJ8OsK/3hFpQMnN45GjYkqUyaviS9qajfjg9/6PX7/b91w0tT8pz/6YypvkaR5vdz2UgU9C7w32GI40jVhU8h9ARbEuSdK5OJTWCFEJdSV5yYoQmt4XsGmMmRXUydgXSjF0PkjrL3GxID93BDi8M6ttn2sknDyuuDTnK7MKNfnzGXDTK1YlQ8x9gbnrqg6mLJCzIo/ey7Iq0x+HfhIaR5fn/Ldz9/n6tfHtBKBBZWaIOOErjv0xzUbXVjbwmhR4+qIaTLV2jCymVEFqEjbWdYrh3o3IZWBylKnAlWBWri5mWBSZqp6eNwjqkbiBB6DW66xF9dsJj2UMcbPoWioe2S6wvYn0AssLZwxAFHRQqPAJhjtdmHbfdvFBFQC6UDCEL+KkPywQNRpaEVfI5eAC6ACoCirFpU1dT2nbd0wf4ylSh6TM1RQXQqIp7gLRBzGWKqTCZRuKIMcUzWCLR5lL2k4hmTpuisUCqUd69EZ0y1jP6oKmywprDAbTSeQbaKixqhMyZ7Y1lRHPVVdsOEZtv0E8gZpNFJnCIG+66jNKdpVtHZN0XNQjnV4zVpZ+gguD8wLhWa1OMJVmlkdCb2mmxV8lWl+NKYdbWid53E6ojIZbRIL8whb1ujSodoxKlp0NOiSEWOgadB0TCWhCFzImmwSpcnk4gcbRpsaNVmgk8WkCSM3RZsNsKZfyeBtzxVGsxWbnOhCpjSFLBZyQV1fYO0E3ZxRoiFLRnQgSUSc4GaOySQg0aO7FjN+ju4L5qblqihqek5Tj3R5sOjRWGJuQVVEM2FpKprSctxfUTUzurbw6kXHs8lTqDSMI+ORRfUef33NS7/EknmqYX22wTtH5AhzUVNi5KoJeCeoKCyXwulppK4zY23pjlaDbTBdyPEYUxRVjkQVoBSMr6m8Q8VC1J5VHmwxVRuHaUYYO9iRWlaevkRKnLNhkHNqM8WWa1K35vxGIY1Hu8zqrKF6XajWsCZxtKmpkmFzeom0g92iE4FyY4krxc2jxHqs6GeGbh151I0YecVr6ejVlGwr1k1ExYD1QvRPyZPX5NE1m89viG5Cbmqac7C6RdUdbRYkeIrPjJeaVfEsSstEQVtaVqljKu+SR4qugrDwlN4jbU+xieQMiOXR1RhvNetaE2tLpzs66fj66imhXqK+9jGTUcH2GkmWi+MzytLTvloz+v6C4j3Xl4GnC8VyFPhscsNcMnU3YuJPWLhrStZ4Eo8Xlg2az4ujuSyIynTVVl7ImYGPtd0hihDjMSsxrKcJZ24oI8PV8+8hn/znuLBGbANdgQ4iwhUgZrBjaa4NJifGsqAvZWsgXzMaeR4fO/76t38LOx+zMUPdLmcbOilUC4vSKywF1xlMcHhjuJkGXAPOJMzigmBqihhGGAiWFlhONpTYYrNmtJpyBFQ6wzyziIbYQ3UjiDNkJ6R6SaNOwGk+erziLDlm0aJvZkjpkBxJHjrbk2zPsasoZNAFdbZkUyBFhX05RilNrgs3ytH4jiq1+KNTpEuk3nOdHNM+Yn2itcesdRq8qopBaEBGXNSJo5A48Ym+jUBkC7R8YfjKoNS3v/NturZls95weXU1CPHakkLg6rPP+PMYWDx/l9n8iPlshrX2dqO5lYJzycOE327+9uo1B7u9IjKcHOz3hwNIIOWA6bFjWGxv77yz7YI6EOZ3YQ9nlPIW1YRDYGsnud5BBLYhH8R+e7i/OS4Ixg4bmM9vVnzwG3+Jk2fv0rUt/82f/4TXyyXGmDeE+p82iAiTyRjn7C/N2Pl9Fsa+P7XCGINzFTB4m8s7A/hKI9ZhlFBiJMdEjgPyIykjeLQ6YCSoAdTa9cr+VP1OObYCUrkVGPQWBNFloCju0Je9gMTA1rojYgxWI+/Ub6dVWWDLmhpUuvQBLlO24zcfjJUM6K2gPJh43IFHwz87IPZuRbaAUDkcx3e5ebL1Kngo7Q0e9oaxmhkAs8wAUmXrKCUj0Q8nI5TB1FdRW/XC4XSoFPaGonesLn2o9rYH4IZ8ZMty2rtI3Lbx0D8Dm3IPMm9PAHegQREZdIq3KpuS7zIy7qvT7ITSnQ2d4d1yYB9sa9drZ29t/9nNYrX1ZHgAYn8RTnt/zdgfYN4LhypBbwt3WBp7lEt2FXsz7921O2PzAKSXw6v3nnkgfBX21tuYQ18UviqY9VWAmC9SpdvdfwMA3P4WACX79fwwjZ+lXg+Wb/vRSlMKhHAIhH619H4RQN4h08sYw2w6RYncfcf+FGFos8Tp6SOev/ce3/zOryBa0XuP1ubBNr/9yO3Fgxgit3NzKPMtkLNvM2EAvIZS3En9FmTaMVa360rJd9aFw3l+3xwAcMeBCpRhb7rnlw6r8tv65PA5kP1alvPbn/lpwt/6X/1NVn9yzeWfnPOf8ymlBbOB/vTPWVwHXv9jy5/+2j+AcUM2NWlUUSXDOFie+/doS8USzYeLjJjIVe25tq8JkgeD1d03ELOmVC/54clLRmXEGRMWWTFig5GP+dhktKqZSk2lLZVArRSvZ5dIgVGMjGyHiY6JNHi9pChNyMc8VR2RFTesGd/MqKShcZp+6kkxES8sxm9QOpGbBefHUyRr6k1AjjwmCfL6EVO7xteR7sgyXiVMTJR0TX11yqgoKrXkain0jPmkmzMtn6IkEfoPoBRSv+EHf7zg0V/+Br/z/pT/7TrwH/7oX/HD8xZ5+RxdPJSILx7nVlTjiHneIa8NpRP6cY9tLSpafAPTpkfpjs3GEcIRujvhdzZrLlPk5bbvJpOAMZ6rq5dUvsP5QKMUl2XNSiXKoxtkVZN9w2cnjxmtNpj0Gcw3XCfNJmuS+TFzXzjqhYZHnDcVVyNNLp+wrmB9JIg6pp4GptXn9L7BJYvImPH4glw25Ozh+YYjgamCvm5JbSKtFAvxFNVh9Zr19SnMa+xZRXX9AkMmIHS2wmpLbR1FDSx9rRRUlmQ8vrzG5QlDBjMa30FxA+rmz8HWMH4CdDDq4Gg9gE0tcHMNJ2mIfzGDow6Ch8UGjqdAgrCEVQZb4GwB6gT+f7z9V7MtSZbfif2WixBbHH1F3qysrqpWhW7oATCYITBjGAONY/MN+E34CfjOZ77TjEbSaHyg0WggH/gyMMwAZEO0Arq7VGZeeeRWEeFi8cEj9t7n5E1RouFm9569Y0d4eLgKX3//r/8SB1SQ3oHNcFGBC0CFckXOKzA9Ms+cNAYGD6sW69YoPWE34JorJDrk7RnzWQNVRKr39DuHZjD1CtdYjPHMOUHiFjRxOu8xtADM2SA4xCRc8zlmMASr7JbgUxHJrzjnJt3RaUdzlsg+lrmCDWY2R7Vh+8GzbZXeBRb1B+Z2S2Mz7YtzPtwZtr0yP7niKhaW1PXlBrux2EFwn/bEfkU/DATn8TeRJj0gz+6ptoG8zvj5ABayUZ4FiNRkP6eKG1rpwGdcfMHD4Olu4ZP1NShE6xg+2TGPhvMHw1CtGERZZ8sJ3+ekHbjwW7TrETMgPrA8dwyxYhhmrO9atM7M5rGwBVc7+rs7ggqy3CB+h7hPyXQod7x8f8HOBf5ivmYmmdpnWmuod3cMCdZ15mJ5QXINH9yMs7OKrJmtBmyoWCa4yIl3FuIwo/vwAy6e9bhaCd8/IWwi5A6/7nizPkPwzPwV9fkHko18jsVen1DHihempjqH5B0rLlldNxAE7yti9YCkTP3+hHwqUCs9ic+YY8m8z/cY67FqaIOwPeuJRiDNOe/m+AjEBwZdE7IQt4YZhlqVPjxQ25rKCXP3CwKnmHzKD4ctikezIM0V2feEOhEtdMuB3PSgC3YXDbq02Nf31KahkgpZOcJCSD6xuFvTLVYMC8PV9hnXaQ2rNZ/NHTe7hnVneMdbjFGoFuy+l7EieAy2quj8lmAivL1gOM+EWeTlByWHMm7y93eYocH3pyxvwciObHo+nM6QBHZwnN0BDz08bMCd4W3PSV4xv1ly6i25WrBsP3AbW8L7v8v65Qfe+S94eHjLs89f4Ak09YrhJ0qMNUM342f5lDRsyKtrhqpiFwOEN+yGl0QVCuD0GqFC5BTzyYAE0BtwZwvaLvCsv+eeilApw3LgB28zrhoIFxs+peXOGfTFFueVuGsZ9FPy/BdYjfhdxXAKTVReXg+80ysGA7l5oA/PMClxnl/zj/7bf8hv/xe/y/Pf/yF+N6cPynvnqe4bPJnBDzzbnVOJspndUOUBmy3N3ZKtRjoF5xcMalEx1GeOhopGDI22LB8yPkTiYoNvzgBP/LJDzjbQJj788IzFaomPlsAtufFIcJy/+4yZdzjN2NUb1q4lOM/s9AOmzlgxSDvDcoIVZb1+x8I1NFLhZxW9FTZkXt47dumEQSpm9Xu6sKDXBS+2N2x8z/tFYrZeYMzAnJ45EBTeZqXuexiULih3rRI0kfTYcfPj6TuDUjHGEopaM3Vd71lLOWX6ruPh9pb25IymKRP8kb0M5EKM0Mk4HzM1hwXrwUXgwFiAaXn45IseRWRThTEMtOyZTI+doZ7u0H7MzeDoxAMW9eTv44uOyrR3JjlKI3j2VdirCMtqVdOenvOHf/NvcrMbsK+Fd6v1Y7DkO6YD2aYs0lPOhSkmU2X/psGpQ10+Ms4UQozsup6Uc1nM50NURjMCBColss6kLC2AEcWhOM34XNp0AiKfWEWP6kj0GKQori0GLdFjHpVZj/CckRH1UZYEe92qQ5ectKaEPUCpB3aRGetaKY+013JnanF5JFquj6pNH7ny7SP0TYaclmcT0f2zT/31WPQ8j103C6S90SaodaNmrxYQSDOi+hUh98I6GQt2NBQ/AhUcja3RIOS4nx+5Q+3PP0hW68j2KO3+cVDq2A1H5OAGyp5RObW3FHDrGJCSw10PTrfypM6/mkS+CmTvWZlT2Z+AHl/HYvpYbR1qjEf9bqr7x3V2fOXTHMqfbwJgPla2X/e8X9aV6etAu6fucsfHnx77eDlAjhryu7DGjgGMj5Xja+895l1AUYuxdt///jpIY9+WZARgnXM4V1ykP/5y+uY8poFQ1TVN29K0LSnFQ7Q9DvXzeOo9bjd5NDZEDm7R7OfYkgrj9TAm5Wi+0KP/94AUjHX8ERfCw5OU6+QorwmgKl8O54zvhkOjTcd1ek0fNlimfyOzSrOS8wEc+3VS+HxFf3tHGG75/nLGXZ+5T0quAqthx+sPd9Svz2ieg38WOU1LmuRpgqdOCXU9wfWsJZAEgglESsAPJwmnQDY4rci2QrMjJpjnU5pUojFlIipKMILVQNJIMEodx3nfSgnpncC6NdkYBmDX7Gg0k1EyitMKqxWiQp0CQYv7QV/Z0t6SsTkiWbBaQ2jJZDZtj0aPJsOQd9RZyjkUtxYVA95QiRQXjJwJyZSd5iGjviNJcS+JpqZanvP3/s5v85NuTd3f8Ofve0RLX9Y8uttlw6rviONLUiuFvqwdwizhBEwW2pjwJFqTkNxhbcBWiaFu6b2QSIhEanKJUpQdsbKIF+YxIzmiarlLkUTEuMiyyWhviQHaFKi0zCMP88DWQe8sEirUOExdcab3kE657x3Kjpi2MOwQyaQMQzJUg8MaxVnYtopGg+nKrn3tBkQSzgQk9ZgejBfEUqKUJSkGqgQqIs57pKlgF5HaYGoPUkNOSFTE+1H/oC/AlM2wG4DCasEbyLYAS40F14N68B40ln/kIuyJg9BCvStrgCRHu3AJUgsplRGYxg1JGaBuyiaYeKwb9VJbCzagZkBMAAYkG0gNhoxqJCcBU7wQDBFsU0CnJOU+krEyoxgiWiJJMQAJMQZnG8QK2RnUKKoWmNPGXRHhrgacOEz2WOPoDURNJJ/IWozDmjkVFU4t2+gKq91C8j1JLDYbltmjLqAS6V3AdMWFKNaWOgouKr0Gqkpw1jEMOrokwmznQTzBevo2kIeMDBmjGavFk8CKw+BwVMzaiNlZ4mCJDaA1VaiLWyum1CGJLKOR7IpwdUYhgDXFrWrYBVJOhNrgOocJgmxhazuyHVCXqaqE2vJv6CoMQi2Ciz1IJtcK0VAitw+ErKAGiyNah7WZmuLKVeqyJkhPkow1Sl8PEDO2g8b1GCrq3ODigpAjO4S589QodVgXfUgHrSrbypHIxLgj9uW9FyqLzx4zCMEprheMKLExtIPDJ4utGkzlcAJVaqmtYgWGuiaZQCZhVbBWcQKeimDrIk3SGaxRpMk4L0RfkZ2DrWNjYZhH6jGPEBINmdpHtFL8conFIRhC79FBkKRodriYsBG0HWg3GTcIw6LCG8PCCtZ4JCa0U3qpcWLxJIwENDlimmGtxWvEhIjYjHWGyjpsE/CqpEFwxpFTJCWDD6Nbby52XBZHxtDVCbERYyJZI1YcFQ0y2+IkUW0y642yCZ7eztm6FUYyS9MydA8YNVhb050MZAmQi+zLIJaMkLLF2khT7Ri6HlQ5lR1pUBJKahI6CFYdbjlHckKzga6la6GeeVx1RSUVtU00TeRhdNuUdoNJLRBIzUCbhCopgzGoluiJg3MkBrJR4tDiTk6oT06Z+RnVRtAUmaeINeU9W2eocRiBnVRkN66ATE/sHEYt1pviuucUX1clymISIjXJWsSAcwmTy/NaZ2kNVKL0O4uKEl0uhqcP4BSTKnYm0GlitwRUqERoTGawhmwtcWZgsNgE4mc4NVRZoKrKJlPMGGakytM7mKslZUtUwywpnXEY8VRSXMkHAnWoELWIVdpc6mDrGDUBhV4mTvHXp+8MSl2/vybmRFJluVwQwkDf9xhjGIaB9PDAYrPh9Oys7IaO9pzZW7YJFSWpjoLSdr+YFWPIqqPLlXwNhlJodBTX7iPdobLrOzEkZMp3vGrPnJgWyt9qnH3VhfBr07GBdLwYVhAdhZ0nO/IIqKgUNn3AVy3/8L/5Z4Su58QZ/sW//1Occ4iYrxhR35wmQ6K4KXZDGFXu5StG728qTUaHHn1XVba7Hbf3dwxhIMVITmlfT9O/4o5n988JGS8Zr0qVc2EyZYtiwNoCnEyGzWT8UG6uExMKykICwaI40r6MRUb9CDgcO+ejKhkRCcOo1zIZpMgofD5dP/VnIe4BpcnNsJREGN1FNY+9kRGIKeXNHFu1Y3Q8hYn5MwFxE/RqkdG9bCLElz6dC4I2CqwXLassSpQpCqDBWLvf6U8pk1Mk57TXwFIgWZC9T9+RoS5jVEE9gkamwTUFDmDCFidG1GOQUvRxniJmDxBNwbemNDFeDoZoAaX2IOJRX9v/PWrE4+OH/vmRCIhPhtWR6fqIVfV14PXHQIyPMpNGwLr01YMBr4ev5bepn+oxuD2eP1XzUZkLQ+7ACHtcxo+X+7syl54+49c933H6OlDnaR7fpOt0zCz72H2/rvzTtcd5H7NljllGx6yqr0uP2nT8bqzBVY6qqQ/l3MOdv9l59VsKV/T67AEg+xUzQhB8VeHrurBSp8CCj0Bd2G8AySEWqjF7qXNgcuUbGY1T/zsqmzEjd1TL3DUF4ijdWkdtvGmkTu+so7Kaj9dyVhnnl1zG79jOSZX8lQE/8qR0upayE5wPTKzpElXISUk5kafNFT24//2q6Wf/1//AQ75lI3f8w8vf4k+k5/2wRbxyEzrS9Qcu/vS/xGZlftnxo+EEFz1Eg6R7ZpKo2sS/t5ZgSuTZqzCjsh3ebqnYIKqE2HLKGYPCvUZ+ED/Fhy06fMA1W5JkOrPFhpogyp2JfLIyiDcM80S7PcPKGupfkOWSzmXuq1skVthkkGipqXHJMwSh7QacGdg1hlV7isHg+sR81+EyWE4JDxV9veXu+Rtm15+Rs9LvVliFWixLbentprh12SWNRFxUOl0TcoNo4iI8sFluSV6puzkPK0OrM/7Of/334D38aP0T/nef/xFZlZQMpDkpLel28PZ1VxrBZ6Qa35tWGU4GuK/QneFZ6KHesag23Jkdue7xy8TmYs6wzrCNNGxojaFR4edpDvOWaua4eiOIBiKRbVdAQ2rhRSM8JGE7wMlOqLwn1Y4vXj0UV8IOdHeBmHN8M+N73Z+Ru+f8/OGUuX1gFz/AekmuW7rg2HYVZ7cWazNSJzbPMlWA2VY4Od9iUkQHWLQbiAN8qEg/rJEmYP2AvwHMAAzMtYJZBScL+NkKO6+wz2cgFQxbuOnhUz+yltZAA2uFDzfAAioL8xaMLyJCl45CmTJFWyrGwqJqLVCBOpA5nL4rgNS6gpNAsagdhOcQE6QbMBVoRqo1dnlRrseUcjjgxAMRo4HKKcS+gGNuAfYaZCAPLaZuEGuwKoiclJdneABNBbDiClhRRBcy0I3zxQmumuOw1Az0VgkYdtRcDDtIiV+0t8zSAq8Lsmu5p2dreuzZPbo+x3UtTXxGlRWTlYe1ksRhGiX6B7bWE5PnxW5J32zoZiuus7AMhiY41qcFhLAG+j6yPKlpmpqff56pKi3uiO/nRCOogfX5HL0WeBBcGmjrGus9rl1Sa42VBq0TfbTcW0NatCxoWfYtu90NYSuoNNiLgSAVvVYI90QzoHVEU0LcgKUj3G8ZZob0vObydYMbHHLtuG8/EFpFXcXJ2Q4hMsuZzWqBVQ/W4fmcqh6Ytcr1ayFLwLc3bGOFl5a5PWXTKsaWKG4vb3sINalquHWRJAOmj2zbAekt7UPLsxcbfErozRyNZwRRKjJXlwMubwk3H1hLjahjgeX+rCZ2me76Dvfg0bpifWV5dl/DYOm8Ia/XZBtJ84bqvqFWB+eeyoCJyllnSaf3RJeJ1RnB3aP0eJOxdcZbxwknvKciREVvBtwiI7Me4yAzI4cK3hg2lzX9zPGcjtVdol8lTlxPs9xha0/17EdAT4iB+9eG2HkMQhBlvku0IbF+dctyU+FCw1/5ORf0nEuC7ozUr4mxJ5hzajNQmQ6bt0iYoXFJXe1ou0C12pEWDrN0NDPPYhTfjjkgsyXdVtltlfn9h6JThCVXnt429LbmobrFmYFaMmYWqMMMGxr01OJdx3zznrsv7tmqhcVLbk7/inM94UV6zt3qBuMdfuF5/el7wi4gH8qbf6BhzQLIzOotV6e3PLxRak28MgNfXFcMs8xwMqCfR6hb5s/P0A9vkb6B9XPefLphftbywv82xjVUrDmtE1/Wnpg63OmXyJsfkm2gf/Y5n1yDBsv7qgLdodbQVxX4DxAdm/CClVvQ2ZYmNDRpwMaB86GjP9fiCHxvMF4I1jLIgp1vEBOo5m8gLXHBYpuMsz3GGWbVDHuzQruEmZ+zXjSIN1yZjDyskOSxJ1csKoukzOZNZne+JdQZE3rsHKQSgjbchp5OE+mq4tnacNILMzwPxtJ5R3+q2OuM7w3V4gK322CGQFd5hm0mbCG6U7r5jm0zcNHPyckSc8aoUocZxIaFy3QS2eSA35zgaouvlOU2cOfg3kK12RLNkq1Zfus66TuDUm3jcLbBWUdV1zysV/Rdh/eOmCJh6AnbHWHXEfueZj4DDu5bQHnJZIvmoiskXrHGIHYKpCNkMrLfkT623MaPCpJB7PT7CBUc7Ywqgqg5hPY2R0YsPFnMH+5hjtGso/QVY2rKZ7Ljx5KXczkc3P+u8GQ9KzmRcubLLfzBf/1P+ez3fx9bOf6/f/Ez3j+si87UL7sIHsGTqq5w3mGsIcb012I2OStYaxiGcABPnC9uLsPAerWi7/sCIuaI5IQdd0IQwFHQ51wEsC0FbBppMJTdrcKg2oMaU/sIGOz+vEmfSJQj/SiDUAaPQ/dVWVzqDhDZnk8jhdZqRHAjUDoBlO7InW1qTwXcvs8JqfRcEoIdBcfBkPPBeM0GJieS/c78CIKUY+zFypEjPoEcXBQnFhdSXBWnukmmuN0V90H2AuhJIJmyB2gd5GTIOZFSKuL7uZQom1G7S4/KqxmTv9qF5Um52R+fjFE9nDgiW3vW5EfG9HRPO0bpLKeNmmJ7S/GRnYvIoe6Po+9N1x4+j2DLeHop3vE8cHiqPfB4dP0xgLQvqzw6wMfSZNRPt3hcT48vk6O/02flURU9Om4+fsvxhI8wvvhmUOnpeR8Dd5666n6XvJ+CYV8HSD1tu29y5Zsww4+x1iZwYQKpPqYXZIwh6xht8uvaTqQAKBP4LYJ1jrqu9/qB//lTQYc1awHqx42cr7xYvkMyo5v0brfj/v6em7s7zhZzKueIMe7fa+PoOkzJ0/tUKGwLQDhmKpZzvroJNKqySQGOsIbD6OUJIKuP5pnM1wN/JhVDSYdhnIuLi8oE7h+nPL5nQIqe4ciAilnLekS1bKJMAFSMpJRJORFDJMUyZ/46qf/nP6JuHpjPVpyfViz/6Jp2PRA/U9L1lt2fBs7+yb9nySe4/gU/n73lLD3jYngJ61sedMe1Bpb9j1mKcm463Cax8ktu2+/xbKixdk1vNnjtmGG5RMjNHas6sM0ZK8qiP+G8+4Rdk0Dgk3TKTX2Ho2exHbiudmSriG3ZqdLGlt/vX2D9lkjPWta85w3eO06qBg0v8AiNHcjbFVESHYauKS7kIfyUZX6JV1isIsEPmOR4tZ0T8gnGGcxJT79akzuPzyc8uIHgOvTsA0ksW+D+pGeRT7HBsN3ekxY9D96wyhcs/9f/gH/43/+A/83/E/5P/6+/4j+93jD/3ozzt9e4Tc+HXc0gi9LewxeEZUDEg31JiBaJCXv6lvdb4T407D75fe7+5E95WAUu373F5Qqw3Dvg8gznHN/7/B3poUG6Gn0J1/eXPAwz4idf4B4sdm3h9TlDvWVb9Yg2ZS5KkP7ykt+WgZcS+VfpAq93VLzh57N/Qpi/JLxI/F4akNQCV9j6c2zusRLQS4GZYBrh1VuLdIoxCelzWdHXhtR7TCysIKsdZA/hBGQojKTuEq5uobfwroHna/AdaAfvQ2FAfeqLIHlUGCJsToqA+asA4ss4MwpsQfryorzVAnq1N1BtC0PKNwW4Ule+28/KdacJ+lSU2useZm8pzKotyAXQMq1mCoPJAg1lLhxgOAc5h6qB7gFigOYaqhbsCZYKujWQCotre10GYtMCvuQnAAsKKLUCTsbfAtCPs5DBkPAEajak2Tmq53yfop8S1fHFdsusDixdYaDdsya6yMXpGTdbZb0O9MMH2uaE2nucCdSmRsTz022Huz/H6zN+WEdW9YZNs6O5H8AuiW3NuQkQa+JDxUt/Q+UX+LrFvfpA3i2ga4mf36E6QBvxpzvm3Slue0JnTsjtCmnuGF6/QuyWptow6HP6tmfw9+jWsqgCdT3g7hMpGOLOoqeJFBtC7zlvIrvOcHvbMCPTSIPIHH3e4RiYs+b7YgnMSPGElXsDeLyZ0zQGnwOZHe8BDQ65Vs7aCMkSuivq2Y6YlO124HklOOuxnGPdNSkpsR+Y7WqkmuEaz4X5HHERlgNb2xODMhvWDC9qcmVwInS2Jyusnz3n9CHhjJDPHFfrBZIy1dxwt1sScJxgMD1YhU9OM9LeMYgivGK7eEtUZSavgAdEEy403Dy0DFVmsRxo764w2dFcJHQ1kHNmvQA2t5jcs7rsmJkznFbEdY+rt1g70H/ykuf9DXK/wZJRlnRNzTvpOTeZWRLitXJz4tlUAstrbF2Bt0QSvRZh+1lfUWmFs5bP3DVmk9Gtcj1bw3wJzRmVrKm3St0Jfrig1i1nckcKS7J6gj2lnhk8Hbrr6IdE3kEcLK/dihNjOfOeL2YtJ1k5S4aYl8w0Mo9b2vVVAeSaCN012Qa6OmGcJT4D+wcB948+YB8G8uBg80MeVrC560nn4PJA1d1jf2bReELqz5jZn5HNCtMU1y8xA6se7lmyIHGi/fiCXcDtksbfgd5x9+GB3XZOzh7VLfXNHctkeGkjLhdA737o2Z52GAlcDdDFX2B7WH4pfLAVO6ts3RazuQRaZNlS3UWoesLfeEOy/5HdDt5sf8wn8xl21nK7PWPROXzyiM64q65JVWBZe6q+hz4TuhnBnmNbg68+0KwVlcT9/AOueo5lRu1hKUMJ0lX9kL4aCCGwjVva3RKDsP7smsu7zMkW7uae+fslRi3v5l9w2s24iDN0tsRVK8QOsL5CMhgL9Z1jlyOBwOn7e3TtGDphnn6OuAsG01IPn3Nxf8LyYYEOO/p2zfak45YFph8wwx23WuNXkZd9xulb8vCcaC94mx7wactlGgj8CJ8NJ98uKfXdQSnnHfN2zrydgcButyPnTDtv8dmTNdM0DXVdU1XVkcH32HhV8t6HT/O4QyrsWTAqQtZUFv8juADHtu6RlVp+eVRORUdWUj6ADnI479gtiyOjY2LGjNvDj4yxr7rkHO42nvTV345thSdFPjhKFVc7qVvmF1f8rb/9t7kfEvaL17y7Xx0W1t8RnFLYa1JN4rxB42+cJTXVyaQBlUYDUEwBiFKMbHc7Qohj1IqpWo/BimJsqBFUC7Nu0l4ycMRyGuEj1UfCYbq3+Ed3wNFgNXB0w9FNEMVoYRsV1lS5+9Q/igFlxssMx4b5MetmOnfPm5pQsrEDHwMHE4PqADiYiSw1duNJ9FwOu/R6AK2QEebcl4NDIMJ9uabMD5WsI7iXx+c0488ZKREbxCJ7X8I8srRKqaZyH0aWTMx2jkh/+9o7BqYOY+wIRJzaXB4fP87nm0XAj0Cjp2N2//mx297h2kNJkYNbZLnpvgM+Kk0BKh6X4xEopezdJKEY2Lp/1gm0eQoyjQ13nOGTznLcjI/q4PEjHBX568ezTvd8ktF3hS6e1uNveu44Th9r+33UvV/imqfHP5rv0bFHDqhPQcax3+378zjPWJEiLi5jP4FvhKc+Krb9K6aDa1lhBYcwEGMcgbdfPq8JPBrGzYPXX3zB4kc/oqnrfVc99El51Of24NPENuV4DI5X7s857j/jsY/40QrTWNIRdC2g0VRWPuammMdgCVO7TvW8B6RkdAv5KiCcJ2ZUoRaXjZGUSCGMoFQmjUBUTJHQD6SYf21QSp61zJae+fIEazrM7B5bRZqzFywGy+na0DxTzNKQbQP0dKLcuoSvlY1TejLnMeNFGJyhEgMmEWVNdltEIlU2dKZDEFosURuSiXQuMstzHA3RKMmCMQlLj3olqRCiIZihMItTxFjBiaOOFUF61Fq8r5Ah4nIEE9jVhRE8zwnxZWvG5EgwLUgCH4nbVJrFO7wKTqAODosno6W82eKyL3Nqdlj1+KqC3pctn2rAdgaTBKsWoxbRwlgOVYO7uOQP/8u/wX96lzD1e/70Q2EEqR+IxkAaSlSyzRKWHeoyeZtJLpGbTB89msBrovUBnxeY4RyNq3J/gXlOBJd5aJXoBGVA1bJqG7ZdZtCi6YMW0fN+3iKppwpKzo6MJYtlXguL1rNwnhdvlS4nko2cXSrNfIWahA/PsMkjZDANPmWaPmFzDTGQY8SaEpVPNDNIC3lAGLCNQGUQdcWlI2XY6Rh1wEGuCiutTIKF0WQov7lY1lrZQKwhCoQMripglY/s9QgUSBVILq59bs7BlcGBWGBW8hVAA7As70TTlWskl34iI1ikDmRWPk8rNlUKu2kEpRjAzMaRFcr93PjPOERG00ZTuV5qsKG8zE3FqPZJAZ4mLnU1/h1FedWWZwGMlihjlgpMHq84JZmBwEBlLY14TBb6AVwq2rgxbkEajC91UVeBmQ8YLE4UNZlZ5ZCYsTEWrRdrSiRL55FRKN7nGb1UBGtpxOJFcRLY5IxKwviI2EQSR5KKCiFaR64TOytUlcO7mlB3OBfwXlBJZf3tPNKUaH5EYeeUASGrQfqy6RxsogOwmdYP+FyBtSAZ5x2KstaMJoNLHpcMa9ugmiBmWi8lDD0DOVskCS5nKulRK0QVkq+JNhN1h7FzsigdA7W3ZAyDGDQayEIymdbUZHX0CLrzaHTESujdULwFBhjq4t0ThkRnIw6H7WqMFAaayxW2sURX3kuhTihCY4unhkGL4ph1KBkjO/YyMTZhs8dFICaSLWvsPtdYBdGIk0itnqyKswNBMjFnvK1IQcixRHQMyZG1Ig8QK0XtwDx7kI5BEtZvEC33suLAWrI33GGIaukyVEPRvMUIDRX4SG4yVjKBjOZAU/U4NZhg0RShFnCOvotEM+rRBgHxhbyYcplDxOAriyPjUCrXkoeBbYr4mSmYcZdxMWHqDC6RaEhWSH6g6me4XYPsHC9mDl0rd2uP6Yvbajjp0aXDDorkgexteb2nTLZCqjLaDuimBW3xQ8vCGxw9W1F8TmXuix0u9zjJVEno8hmKLxFIcyING3br16T4e4gp2k1Vr+SdEFPDYBQjGecSXW0ZTEZFEZvADKjJ6NyVuWDYsXp9zc38NTe3X/Lp89/Buxo1G5IbsCZRiaUmkpNSDzXRdGQXiy1RJbLPBBOwTY1RwW96LAnjImos0QSyLXOvXRg0eZKJ9DFjAWcqVCxZDLPa4MVAyhiti4yLycxCcWcWGZDB47UG46iGzOCU6JQKIVSZKLBOAtLjRQnGFhfZOGAM1FkJITNUPY1mXIZOOlwf8JtE11qkD0heI01h2KXU4YdbrLaI/gbd97yvOTk94/LykmG74v7+jhgTs/kMN7oTnJ2fc3J2yvxkSR76g4EmB2Mvax7tMinu49iDTS2muEtlwCgWCxxF4Dn6OxkvXzVQ9vGY0EkcHRCxB4Bqf7+9zQEU3ZByj8ei11+Xxrt8xW5GJhWdw3dgv0iejglgNPPQR2o/47/6Z/8czcpZ7fl//Ot/W15KxpTd4K9vmkN5xh3gGCOCYI2FfW38Jo1LHSd1S+2hC4GQy6JNcyaHgfXDmi4EsjE4ayClo+hHJQ+E0kZjRMayHNC9exqiGDKWohFVgEpQA2EEMJnAJVUMT8yPyVVsBKaEcU2SRy2RMb/CypncVITJ3DwAUqMrn8i+zcdefABPtGz+WSZx81HnaW/kTou4w2JOKc+SNO/70ARMIUI6RizGR2IsncCeAQiFNaWU53UijEuxPTCVBaIIYh15fFYkITlDApkEhZG9bogZ/etUn2qjleeYwLQ9S3EaCtNg3z/L2AsfATAf74/HRvxX3L+mKpjqlNG1Rw7/PlLMRwDjt6XDPYVHla8HV83Dr4fyKaMGTem2R3jXMWjHR+aKr5ZhDwQcfT98PrhRfaXsR3Di/j7yJLLiL5E+xmA6PvYxFtR3BV+UMa9jvE5HQOojZf060OkpG+pjZX56/hRgo5Th0M/2RRmzKH2ruPJaKT75+yieH98T+U7pu7pTPj6fcW4P7LZbul3Ht3gifm0qOJwwdB2319f86R//MZ+9esWsbfeMZTm8GL8ybvbj7ShOyTR37vXfjs7bA1JHx/dPXyaQMY8yB0kuDCVNuTA1joHD8XxSHl2IgarauzDv89Npjv9qn1QK8KSaMTmTYyzBN4Z+764XQyQMAzEEQtcRYyamX7HCx+RPLWfnp1ydzWH1Bvw7rI88v/g9vudqPquh+R2Pni0I9YKrFNkKvHcbZsvC8E0qnIcNa1vxhfP8VuOJfkV2n9N58GnJLFzw2t+RBU6yxaUKiAxuxyU/AKfcuzsaNwezJdkbrLtAtaWzNZmenAdy6DlZXNCqI6uy7hM0QtPOOd2tISqDZO7P11iUaj0gi/IGcbueLVcY75kvitGTjcBixlmwVMHgkqHuDZ30XHPDUi/wzKBOVMFgtGZmL2EwqAZiNRBiJEeDNzU+OSCTbM/qpsH7BX/w3/0v+B9Cw6uzv+CP/vf/M7smYNtIP9tQbQN139DeviS3b0l+w3C3YjgL5IVy97MltWTOZcelvuU0nNKGH7Gt/gwV8Kp82gfemI6HKlFXFegW9T19fUpu71HZYLHYGDAps361wL3ZcvKwZVsUq8jO8/IHK5qrGttU/P71jp8pfGg8v/e77zBn77Choun+Ji7VqGxArqj7e+oHAXNOHu5Juzt04bBdxnTK2p5CXGPDwMklBQhxNTQbeIhwa+CqAXyhVuu44+QCpAi2BruEEwd9Lh57VQvJwyDFPc940BrCBvIYZ7hbglOYB1i24wswUESoHIXxJMAAsgVOx4kjQT1QWElxPN5wWOFM4zaV31NHYWhpOeYvxmvfQlWX57IeJkCKjgPbqSlRB5GxPMP472HMwwEvgM34nXKNCpCwDOO1z/ByTSTwwHN68wtUNpzb53gcKUXer94zMx6PZf3wDrt8yXwxp49zWvvA0nREqrLuk57P5jP6sGIIPSEsMD5TWYOfL5ABGBJuOGe9VDZNot60pT504N3asnCJedPTL6BPc4a4oLpt6Ood8XTLTmDOjJk5oXv2BTM8jhpHh+YWZYmdB/xayCu4uVRyNpgoyGZNbi1h1nEXDGfVwIt2xW79nMFlBt1yxikPVLyjZhmUOghNDJjqhBg3pO0dF6ctajI9HTbWVDEzl0ilW6IYqC2rakkyO3R2TWJJT+aGNWdNizQVg1aE64xuA3nYcCoLolPu6oGrdYuxjt1Jxdo+kELA3ATS8wZSRq833L0Ax4zFXUt1FhESceOQZcK4xCCJeJZxavF4DA2OxCk7OnsKRERuET1BjCXPdiz6U2Ly9NvAdt6TTMD0p8wwNBZObSLaJQo4Am810Ily3p6zvq3IwXDZWm7rJTvXMuuh8++Ruue34nM+2J6V7GjPNzTdCW3XQp7j1aAKawyDCgGlM0o0yszAWb5E5jvyrGe+VlYh0g899dmAH2pkZxjMitjOicsZt9c3BAtqhea6Jp9W5KbB6AmV9FSu53I+K4ybfsNlesYqPvCh3/HiVYY7yA+C6JrkAqmN9N1zchWRZsNy/T12726xP2/4A04x68zdzyt8/QXpYoAXEc0L3G6gZsd22RLve/Thlk4ceR6JzwP5Z5c03YzlMOPs9JqtidyocnE3kNKAZYWq0opwZi0r8WRbQ2VAhS4+8OX6T9gN/x3Wz7lyFa9vhfW1517O2M4gVx3X7S005f1iBoMfOjAdvfbEi2fY3lN9EXm3eo/dKd/7W3/M3zv9HZa25S4ncnNPkoxPG857hb4m75a8udwS6p5lH+ln26IxFQL2/Iw6ek4+T5jFmlz1bGTBxm1RF2mqgbPFKY2tuE810a3RlDl7e0Y0c3LtuFoGkrkj5J76/pKH2QrVjvOtI2w7NHaYFGjDJTU15J7KKloJtW3J8y2DjbzjhPPtisVwx6Z9gXnoMOkB385Y7izVzvH25A4T5tShpq9vMX1AVom72QVtt6Pp7pi1wq3techbPl3/CcgnqPvkW9dJ3xmU+vyL17x+8w7nHHXtySmxmLWkrFw9v+KTV6+Yn1zQNg0ahiKaqsV0NCKIlb0WRUmKTkZ1Lko7ZCWLINYUcANGkWbKovSJm87H0rGZmLXkqZoxZgRS7LgjcGQwTiScx4LN3yFNZZkEozh6vI+e/nFjxJPRBF+uOv7GP/zHfPqj30HE8G/+0094d/+AtfZg6H9jKs/a92VxPWE/31auXyXlY+HXsRJTjDhb3GPuHx5YbTZshoELaxBXJgXS3loejXUZm3Y0tlVHw2jcNRfFiGBMcc3Lo/HhRlBKjx9OJ4jqCFLQoq90jAmUzfQjptFUTWO0P53Ok4Nb4d6oNaNr3N6XcDx7YgcARQS9aDqJPWiZHPd+zMS+UpzY8SkeuxlOrnxiDiCn6BEQdsQQgKInNdWrMQWMyDrqYo33nuow+QZr0+ieMpBzecll1cJU0CIcONXDVxklZWxPLl5743+qvCMAag/OGQ6iLlM2vwSYYY7G/zEgbZ7Uw747HIF2v4z72uH5pjuVv4ripvKWQu+vm+qtuFiN92cKwHB8A44nqccFRj9SziOW3tdcNjE89+fo0Y8qmMPBfd9+lP9jbOib3dq+4dgvJYaux38ejeI9+Dj9y8fHx7F4DEblEdSVQ4WMIOiBRSPHCM4Rc3c6v+RuDpsYsB/3KSvGCHXtcFYeRXr9VdKvypoSKWVKKZE1Y92vriuVs2Jt2cC4f3gghHAAn58Ae1N6HOXyMSA5gXePy3sApL7pmURkPy8IJXiKGMGIBWcPgNPImFBRcJaJfaFZH7GfVPPH9Z90jKSXE5IiNiZS18GkfZgKEJZTJg49qe/J/UDqO1JKxF8VBRzTl/+Xf8F/yku6POdTfYfuOn5rgB/+8c958Ye/x4v/6vepTjO7qmZrerp8ikd5rjuc7NiYijWnWHuJdxsa945tEkKKWAxfyAuWSbhKHWf9K5zAlsg8deAjQWrq3QfUJkIbWNkBl4W2a9DZHZVVFhZutyeY5Kmo2aRblAdmvqYZXpYIynLP22XARMdsaLhaV3g1zEKLud+RzZyOBWt3Sx4M8f332PlbYgXKOfFhTRsTV95wYzsGNfjVJ9TbHmfvCac35KFiyBUP3RwrHSKRnCqcK2G+eywX0lOZRJoJJ9sa2Tl++pM5P/jbP+aT713i44z/+//7f+Snv/iS72+F7lmE88jZe8fNgyesPAD+wZPVsJIlhlt0WNP91S3u+Yr539yw/aMdu9NndHXD6u0vuHjjuHrneegf6LxjwOL+wiGmRkyG16Au0F9mzJevCSFhm4oX/QM3UvOgFbevB67mPfZU+fL5wN3dGbvhOV/6nnjt0DfKDz77Y7bi6U9fUOcdudmRL7pCZDI14k7ZNQty3GFUOXU7mCniZsg7C6cZrgbAw6yFegbVfdGLygLyvETBazfQfg8kQt4VAMs4aGqoV0AN6QrMfVnDRQe7DDmNDCtXGE9mB/KB8qKf2EiWA+DUjscfytjlArijzLhVGd9sKeyq+Xh8PZ43ThZ8gDTAkIq2i3UgV6BFoBjeQd6WMptzaOagjsLWqigg1T3FTU+BN8BLChgWx3tNLoNrCnAVxu9+vOYKi3LKhswrIGN4jeSiZ3d23tJh2Sik3rDwN9Ss8OGCQImS+CBKs3PU0ZIax7o1dI0QncWaLTbvcO8jsqyQU8ddWFH7lqWpiItTttUNWTrO2jl1p9iHQDecMV94rmYg3Y5tCKR7eNWscY2BqkJiphkSpyETTy7YULEVxwWOapZxTWZhb+miYVCHnAmNKdxg4yqG0POLTvjED3gXqRjo7y/BK8tZ5rTeYKsKtOGZXmPxuOp7XHd3iKuYVb/DqXNEG+mrjq7waXhF4q3e0UWh0wtSFxCJzF1gtq5RtuBuySeRZDzoktX9NS5bzu0ZyTVkExG9J93X1GJ5fpp4bzvEJa4+ifTmkozDXH5gZSo88Px0YLUpouSfLUt8Rcke7RreNksikWVn8X5LNkJnP8WlB4QND/OAm60hemRdIcFS+cyz6pb7qmOtmbibMQ8ZkvD2+pQwS1AZNrZhOL0fdehA+hUuJdqzF2i4QLYJM8ucDpcsouDjA9exolN47h8wZkbSqoi8bzrqIdM0z1jPOm5OB+67tziZ4bSBzYa8CGg7sBPDQ+WJ8xqd7aiaoejeds+Y+4HKBpa07LYdu7DBssFIhXU1ld2yfQjsboWXUqH2FBYVfvsOIwazdLjbxG1UroPh1aal7gZ8FxleviUtNlhaVn/8KcPDG6r6Nf1FhYmG6q96vjds2Jx43l+dke8u8NUG97vX8NZTbZX2dWK2fkfC87aq6Vdz6hPPySeG+RZ20TI4R+6fERaGzcuMvLnB9Q2xuyR8PxDrhsH9gHW9pR0Cn7xx/M/xORu7xlcrnvc9KcAqNrCO1B4u5jWvTwMhCM11Q3i3HDfKHrgIFfPdKe9ufsjD9hbvdgQ8J2aGt5GtRGw4R6VmqHdcmlOSOeXm1GD1A03sOfcNtWxwzmEuThlOdmSJVNfgHjxSG6oLR3/Tk7fKIl7hFw22DdhnMLBhiImb9w/M5gFjoNpaXtYNWtW8fXnPyXpBs7skbSzpXElNINw7Om0ZoqHbfU5rW2bOcd5knHp6UbrdLb04cm34ZP0BiRmXlOWmpVltcLsb2quIcYK0hsrfEOYNwS+pdqfU/YqL3T35/h2bOWya7lvXSb9U9L2UixHbtDUyai+EnKmalovLK7xvsNbsDdI9MAATr2HUnBiTOfp1MupF9kwDUfZCyfsz5cCOOE5fAXyma4Uiaqm5GBwqTHHZjr3JVHQPCnyndX6x1I++P/35uxrB07lKTAlpWxYXV/ytv/N32CSl+eJLPv9w853ympI1JTKTjJo8v6Ld8o0pZyWktNfjKMfKgj6nxHazYb3Zsul6Lhd1YfWMu+sTWHRsO++1S6T0E6MZQ8bJFFHvCIR5sgM/5YAcDPBjuOpwyuSiqYd61wmMFI462R6VmspTNuEPotkTS6t8y/vylX47suDEHMGc5YEn5s5U7mOgahIMn55n0oUqoNQR4HAMSk3l3ZfmuI4ORRQmMfSxjCJMjaHZIlI0VuTYtYVJAHg08j8CXuzZLkfVdww0TM+1byvzGFB4lM/TfI/O2X9+VP5D24zW9L4rHIMvv4zh/k3nTmy5x093DGqPxw1P2GVjI0xg3SP3wUd3OMpYDnWqR/1cn1T2E+jsUb4TuvKotF+Ft2T00VRldKf+9vr6ujb6unOe/LCf5/Mo9rUfg/q4vOP0PYph7zPYP0WBkqZyMLJjjt0qp64x/ji+A0QOUuVHZ+1ZPKWrHpg/YgozdJoPvgLSPknHQO1vOu1h919jYtfRRS7FyGa9Zuh7UkpFj2s852OunHtAfPr/aM4+nkMPfePp96NrD5lz7OJa1ghjK5jC+izsqHQYV6NO3mGcT9cfwC1lynacy5iUBKczx3ONYFXIk5xAziU61/QvZ8gZyb+e+14aVrCNmK6j+V1Pd5foBkXzGtqMXLU0MqDWEKW4NTmFGiGoxSo0NrOqtojpOVXF4DDMsLmlMw6PAalokyEaZWWL0Hwoixx2NuOMpY4VkQRqGPDUOVJlpUoGG6rCtDWKhkiWTDKRQXZFI3EYsJJxjmJ0mgFyZmeUuUY0WQZqjA0lmtfgkIXH2Uw1JJw1WCP03tBLIGRAA6kqUbmGaIq7CRkbDMklVIreV2Uc1ivIgB0MmoRg88jGFsJux3rpcVfn/IN/8Ae8fvOa2mR+9vkN0We0SnSyIQ8BkYwshSoAQbh3gYQyeKGbZboQ6HaRMCvR3yRGDJ6UiuxC0AWxieQqYW4HxGVEDARQKWBqHgJqLamuGEYdR0GpQ0u8H1i7QLJFwH5RJYZ1g18lqm7Hm23i3brjdrXixWJGriFikV4x2SJU2DwgTjCzFuuKTit1hnldxMaxRTcqGcijFpSGouM0+aJ7ClPKBDA9+KmfaxEQN6aATsPoRpeghGKjuPQZV8CpOEbhEwemBXkYB3R1GOc6gVSTqPiUImOGHAAtHQs3lGtNNV5vx4VTCfsCHkxNYX55UD9el8fyTIsgR9GsGsb7GQr4NbkZmvGeE5g2bqQiY7lcuU5ahBKAxo4zSh5180QUaz1+nNJMPkFMQlWoYiwuUVjIGWMErNCLIY/lt87QiODVEHUCwQZiUrwV1GSCWDTUEBUnM2zV42zEBYPRiDEDwTQlCqAfaL1HFFIXmdEgYuitKR6YUfFDJsQeMXbc+B+lOIwjmQ5UcdHQyI4+BTQY+nraSHZYWzz5il9GIjKQVUoUtOzwNFjxWAytRITSRwZmOO6Lh4NabPZUFK8ItQbJnjoYxJS1k00OlwwYi/px3a2WKjp6owiRauiprMXZjKkSM60RyjxVYciayLFnrh5jlFgFamNLtw4Ja5viTTo8IFWPsYVForImSNmobaIgaum80OSM01QY1LH4ePhG8FKTVOhSjTWhRLx2Na3ZYaW4OFsriAomZ1wq+rNq+9GFDcDgcoYMnW1IUpX8XVXqN2bmCN6BI5eglyoQDYN6bErYlBlyxkvpPy0G7zyhqujE4jRTpcC8PcHbgLeJNCSsMTTGEYwhkUkS8GWKJYpDmwheMd5ipbgrmiyIcZjRlbBuFGsge8vaZfo2wWnHpgpk6ZnljoEzbHK0O48Mt+AzugNMV9Yo/YxWzYiFB+IyEiOEKEgy5AH6zQk7dnReCU3G5FHhtwvMfEdUZdOvISh1LSwX4KQEX+ldhZ1FbIygiSEXt9WcKmQ2kK0SB0OyxXsku1yk91IRL9+cJKoM259Euh9DmguzHJHBoGJxGYIbNYdTREOLGENFR4VSGUNTVViJSFJ6HIOpUclUOaA1SOWwzEh0ZB0wEVyfsURUE02rZJdwJpMGTxbBukxtivvvjhliLdnCkC3IBrUDgiMKdGMEX58Em4XZ+K7NGTQWsDe7SK8tLu8w2lPF4sKYLWgq5cUrXiqytahTzN0al3tMziQprohR1t+6TvrOoJSxFu8LS+rq8oL723s26y20iaqdcfH8BXnXlYFV/O+YHOmmqEeTW4qMWkTHC92DkaGTZVGiwCqj4PX0ciiMq0cuGBwZukcG4H4BOhkq4y6qYkcsYVzOSgGtJjHkx1jTYTF97HZQivNVI2p/3ZMd/enYYyNF97hcmTgz627A+4Z//M//VyznM/7sT/6E/8O/+P/sdTW+zQwREeq6wTk/uu99xPb9DaSYM3FcpEzPlFIRg40hcH9/x839HdcPD/zg5AVqysRi7BiZcR/tbUw5l3Yd/1kEp0KFMsV6GswEBpW6eLQzLwUEKppSyqQ3ApPROhr5RphCN5ox0uO+n+7RFXOoNDP1qALo6PhZR3ZTufUox7s3uGRvKE8G1aO2H/M3TDEox8XM9FlLmdP0YPYgzA4HJtfeMB3vm/Mk1F20bybZh2OjUShi7AYdzxOMVMQYx9Dnh4hUhqPoVGN+kyG3H88Ty0FL3eY8OjZOzzuxp/aA4CHK3r7+vgWQegRsHOVT2Ffy1SEoT9xnj/L+2D2/7pypE+h4/kFX/ggYG/t/3lvjTwCgfT1wmNee5L+/CUeG8rSOnsp5PCdNaMCEnqgc5q7jU8fJT/bXyb7sx0mmPiUHMOfb6ucpW+n478fOeXw/DtFZ920lxYYYH+RYxFt40rzjWC7da+rHlLaYuuMjly8d+8TYv/YeYbL/+bhu989jZAT3LUYsxtgi9v3XMaF+QzqIzE9D7ZgP+qvlJ5T5YugH7q+v2W23xBBGIfhx3jSHnnr4LEd/FWM4BF/g8N77OlD5Y+/EAjJN7NMSrebRk6WyGUYY9nOxOnnc18e5BnRceUzzuu5/Ey06VE7G6KTGYLzD5RKlVLVHU2EBSwhISqB5X9PfGGDgOyT/zLD4MDAj8bv/w9/hz//dNT/5V294vlwznw+czizPYmKKUGrNFp8rqlyz1gYngbmseT3bchUrvh9atqZGmGPzkmB+RjYVWS6YdQ/c+8D7OhLNooRRl8CHeeAkzHjeXWDSz+ksbGzDi6zUveAePFXd0LtEbyKuq8HC0MCDfECT4lfK5SLhrcE0FcgHdtrxIWQ+zZ6c4D5CYwesGiRlvF9QmYGL1QpzumBwjtsMfVqRck+KW3qrmOjZrC/oXcbjeBkN98tMbyPaDXh3TmMU4+8x2yUhWjamw9W+tE94z192FfN2zj/7b36bKq/54Sdz/rf/x39J73uyjXT5Az50OBuRF47TO7DbSKf3RITNrGL9W567/ylz85cJPr2kethQbza0MufGRtY20OdXcPoWOXmg3hYAZr8+HFwh5QCx9qTKcx0TYchIDFzqFcObNV9+WONOOy5Pe8Sv2H55xovVHc/ilj95mPHyTcdvnbzm2R/+FrF19G0D24zbWVxvqIf3SDWHxQl0A7gtVAE+XVBQLAcrheEehltYvixi5W4DQyhR8yoP93fl+DzA0sMwlPw6WzCimYVtGiMP9FB1RcC8PgEqCAm6BmiLy2C1AL2nWPiewyx+rOW0K+eTKW5zzygucycgN+Mlp8BbwIB5BukUCEUYfe8eaMEWIXo4BTOxrB4KEIUr3/UIWOJ+vP4FMIxg1RnIO9Ch5INwcAUcAT625XnxTMwrlUCgxZvihmiomJWXGbF+RdCOkHtm4YGhtiQxzGKm9hlTZ1Y0mHBCmzOWnoV6vGReVyckHtC4hZVhOBmIztDHM+qwoIpnUAl2scJXG2a/ANKGnh07+T7DIqHtjlqfoXcZ7necyxm7s8TNaUKINAMsNon7fMfg51TVAl0YRGrEzuhZYYPH9J65/YI2wix6PhiLE0dLzWIRUZQdyi5lcupI4Y6we85CGhrraGYLKtux4JotS4QWx4yWNYqwkQVqT2noaXTNnZsjQ0W78sTFDTlZzG5JtbWID+TFGpccVfBUaunaDpM7TlYBfb6FWult4CI9g1DTDQk/fyCnnuF+4GWCXAnvLwOndUVOwru+o2kdPifa3ZfYGXg3Y9lc0QFFmWlD1VlscuxayyxuaXIuekydJVtBW180ncRwVydyfovJA/X8kgvWNAR6dkWORBtihCrNQZXAfYleiiOxBL1FCbybv8Ih1IDXM7ZdT4yRy8YRayFYWNFzfqe0O8/NySmzcI0b1rzRiiUwF0tLcenN1YzX/QMzDbR+oL0yCBHVLW8EZjQsOOGDgYEdiR2VGLKv0VlFf7Uj2vIutt0z3K5Hdh19dUKtyuUu0VwO9BY2pmInwrCI5O/dcPfpe9LwwNlt4L53VEPDMnjWeke/SVShp/90RVovSW9e8KLq2c3XPFx0bBHsSvDvlYXeMKxPud2+YlN9QW47hpOBJt5g+0z1856LTwy9Cwx5QK6FM5P57R/cckLL2grvzmY0zx4IsmZ3X3GjDUUh0WMuuhLs5LUleCVXGT1VznaBHAx30fL5SWLDwNm/vGbzj39MupjxLL/jdm2J2bFUy4eXiWAS9YeebaoxJnLGG2azFl+15R0adoQo3AdBwwJjMoY7wtJh5zXzfArVDnIHqUfiCgk74p1y8lyoWiHMKlYPc0K01CcrfLLYXPNse8JOb+nsll0UbLjHDWvmw4zoYWuhcpY+JCTBMuwIJtKLIOEZrn1LqjZs5HeYy5dUusbnTK4Mg2+JcY41W0w9UHOJkQ6RLfH9e9JMSDND1zqy68f585vTdwalXr18tmdKDUNABaqm5qSdEXY73nzxJZ++/ITJjWtKhWmxt7hGO0lJKRW3tDHttWE4LGqP3XWAA3MqKVnyAWSQJ6bW8Wp1vwAu5xePvjjmdwCl9uwSZNTqGd1aRsO3XPDYCDi2DY/T8WL+Wxld09WjwWgokX/ePGz4nb/793nx2fd4/eY1/+5nX/L+YY1z7tt330MoO7xH7iu/6aR5b4bv/8ax3fMYEenD+/d8+eYtf/+zl2UHcTKiBTAjqDQ+ipFJ0rEEaDEyGoJEnIJDsFiiGKIY8nG/mMAZA2rsHkpwegg9njkYqbqPBqUH5gOMRhF7RGDCQSN2D0odgAo5sgndCMSUbxnZfzfKXsx8AlJFCvurVEMeGX1jnx/LMEX+0v2/0RAdXfqmY3vDGg4aUyJjHY5tJdNycNyZYdqXLNdHKSCgpETOqdxjBKemvqy5AGd5ehY7Pksay44+0m/SCZya+sv+wyE6Wvn6uC8fG7RPk5kEj8f+8yjv4+YY54Nfn6Uy1bSMwPrI0kQfg3E67RLKHpw6hDI4YprxcVemCWQD9n1kf3wqydcBatOYgmmK23/f18te/Ecf1VGZj2X/VSgCxAfGkpDlMbz3tG2+1tVvP6oOQBsKE+z1BE8eH758K33tCVjEVMdPrntSnwr7eeUgPi+FBShFv+7Y5fSbUu2Lgf5v//iP+cWf/gk/+/M/L++7IbDedSVC6n/GpAoxROIQ0JSpnPvasfKteQEpRuq24eXLl5yentI0Df22sBeeAkuH+0x9ePo7djopG1FlfIxz2Ne8B79S5mleFSkBK/btohMiXLQVq+YwtuEoYt+T8ZHLhkTOiUMQiaKTkscNMmNs2Q20lhQCOgQk533ADLEGk4q7f9aMWMGp5ddJ/23zT/npb1/zeX2D/58cp5vnvPr0kt/b/QC/OmNzv2XBK061I+mWNLsg2g3BXvNJ+hFoIg87jAnszMB/qLYspabmhlZ/jtELjDZFHtp5TqVlEWtw1zzYzAbhtHdU2ROx3NqKKnle7c4Zzh13HvrWc9a8LVF/cmbFOTknurhiMROqJLQ7yA+nJFrA8eVC6MURB889Busi1ckvgAqSweZrZv2MKJZfmFNevbtFbWJ3YWm2UKWaJS8xdkeqwNKSqndYCYjveJ4skgobJltlkMSb4MmzhFPhanUCQ4MkqOISt4rELvCv9Y7v/5N/yv/yx39I9+WO/9t//Cv+7O2G4fIl5w9v8N2Oz//TczZXt5jTHulKV3bB8uKnV5yc9bS/LeiXf05sO7YXidc3wrIe+MRmtPsJ99fCcO/4tB94/wIeFoL/wo8TlaHrzrg4WbFsb9m9jexMZmg63sgd8XQgzSLpZ3Mqr3jfkfWnrM6W/NWzS27+wx/zoVW2z4vel+0E30Wq3Q7RVNj9Z8uC57xfQT1qPFGDW42R71pYDiBtAViyhzSjhMK6GzdmK/A9uBY4K99tgqqH2T2YBswFzFYgIwAkjuLWdgNcF+232cg0EgNyRwF2Rpc8Zhy2Y1oKODUxsmbA9yhA0cP49zkHAOnkcK2dGE4vgA8UYMtxYDll9iAUieKOZyhugiMris84MJ9qSgWOLn8sxue6Hj9XFEbXKQWIuqa49U1lg+L0NSBcAI4zPhBYkqhwdMWFSlpmZ0vE3JF1R0fNOlf06vnMtgxuR3SJSEUdn+GTcn7+hrUkempO5jXBFSHi6rRBuy19f0eVymrTGZi/aFjFxPYB/Imh5gIdznh93+F8g3/umTuBtIV1JDLHuC1yeU/QHiTiZI2VIimhxnLGCbiaJBU75+mo2eoCb66xKaMBlBvIFsmeavaM3iY63/MiLsku82H2wIW0RIG3BIRbHA/MaLgjUQNnrBk4x2OYI9zEGjEOf+po+hO2ZsOHs1/w/ViT1fKhM5zaJb5y2HlmYSMyWByXeFMjqixjwDpfokyHRNBA8pb+8hM+xBlGhaZbkqr3WAO/JS9Q6QvR7tn3aHZ3hEG5XtyCnJDGreZm+YBVQcwzcm6JmoiS8dsWkyy7TYZaqUziWRa0OgNJeCyr4Rm3OZKbD8WZVZV6yFzUEJ3jDRdok1BNZO55aDy9tpxR4dMWtOMXrLFUWCxu3VPPInMLZ5ziZkCTaPyX7OKcZF7x4tmKlVPeobxig+8D0kWG8zXBGLZqeHn/Oasms6mFT+ZzEhsCNwiJc5bM5BkrBubNjhPT0XJGc5MYHiJfnHa0BhaLGu82YBU1yrA9p5o5qtrwR/+/X7D7t2vCv1H+Mb/Hn7gP/Btec9K/Jc48b57NUA+zu8zVu57rN55BPbFxvB4E+9CxyImzqwbTKPps4PbL79NXA/nsr+B+ZEnahq7aIKllF16xaV+jPpFO4Le+mFG/mXFztyD+OGHUU//FGf27Gduwo7/skBcDfrD4mwreWpo842K44j3viGGHu+3ZvbohY2nfJeQNLD5xfPrfLGif9eRWecg7mr7FU+Hbmnbb4ozinis9t5AcuvkRb+mxKfLpJiMPC3zyXM2XoB9Ad8gVbKwh7yB9uGHRnqKV5/p7njlLvLYMnYd2hdrMxl+yfgZRIjZn1r7HEljcRvxcwVnmvhk3DAS6gTM8jfHIfI7dbJC8YVc1BJmh2fIqvWalFTt9ziJes/PKXbukXwzkaCFYru4h1nMGs+B93rJ8t2F+s+X9ZzWNCI0KVuc0boMzv0Gm1PJkSd919H1P7R25qsgpM2tbqqoaXR1GTsqRRfHUheN4oQpf3Vl9euxji27ZGzejYSjCniow/v7oqvFdpaLjvyfaEGXVWsADkbK5M7kxSOG9MC7AH7swTIASj62lqQ6+IU3i0I9Om3aNKVofZnnC/OyC3/7sE/7y3TXvH9Z8xVp7dL9iaIVhIE/C4gcc5a8n7ct8AF/S6O6w2Wy4vrsjZz1iu1HKubdDyrE9SDOeZ8bfdA/CHPUHmUTO9y0OIntR71KsUcRzn47ddSaApxyfHmAPi0k5OwtMFHFlFIw+Ah32PVkOINT026FhjwXU2X825bICQoz979g9bQJ6xoplb+Y/subNo6bd97kDplDgt/13QcfIl1kn9r6M55iRCqD7CI6P+rCREdQYjfvJYDQTE4G93lVhozyWnZ8MQ+SxW9MxePUxAPcr348QjQn4OTrj26//ldIBmJKxYgU96l6Htjbj4nivZ68TtPW0P368XN/l89emQ/MXgPC4PiYE5/j4oz8jkDBVqUzfhY+WWnnU5w/HJ5BS9myoKUrjAZKapkx9dO8Dk7Dk/9Vn1o8091FFy8c+s59npnfR1zHz4Ojdw6ShBD/96U95+/o16/Waxnv8d9kYOMrvN+HCN/X4PAIuRsBb+7iNf8mUtbzPqqbGOVeYtWP/+Ni79xH7aT8UZd8OEyD1TX34a9lzx+/UvSv9NK+W+eQYiJ507z4GSk3vSCMc5hot73/RAzBb5r09H/UwN5vyDzducJhpHP967Tj77DNqEk5XzG/mPPPFRS6/PMXPT1ikBaZJuJjwQUnBM1CDG2iSKXLLxjBzt+NUXVFri5OAmp5AwGhPVmGoIhWOhorBKHWOnAZlHsCaSGczgzicGEwOuARZLcF6MjUo+DTQiCUaIZiaOhWKvxNDTwPZoynhB082gsmlvVJWYgo40yAImYTGnmANnRX6WFw9qp3BJLBZcCmSx2hjXitslhLkJPc4X8CEEBLR90QUG0/AdFhNNMGSXS4agnGGlR05J4ZhQ/aX1GcX/M7vX7H4+ReYYYPUA30SIo5UB6oIVi2Db2BIhKDsHu5QtthqIMcIQ3FL6NXjvUA1YGwiG0O2hsEIOYEMcjRHKcZE0gD9xkBuwVSosQzs8MFRdRWxjVifcRZM1+IGDxshsWW1yrzvHKoGE8B1YExfmIXWgBdwuQiNW1si6hkDYQsM4wWT/poUUfOpU9sA4iA14PoCYu3HoCmMJ7sAqcsxN0bQM5G9exyhfBbAKnvm0gQUqaP4oLh9nRzMjmkdPrnh1eWvhFJ2TbBfqwuT6Hi5vuEQLc9wiKKXDucjHEK9jJH9xB6eUQMHcEzHPMxRnv7oXtNzjfnsyzy9MBOIRTA4WoYMmYQThx3z9DYxYIhaYcwMT8ZIwtCDBJSM12Z0l4rYrNTiS5RJU+FkwJDIpjD+1GU8cdQPNQwVqFS4aPAxkMdoahq1CD3XjmQUK8qMyAYFm8ku0o4uPIlMow2SLGTwVSaZRCThcjUCwxVVSmjMxGhYeY+KpcIholiTaTRSiZT4ztrhzRgROtdILoCqscVFV7To6goBEYPFMxODiKEyhhAcYhwzW6FEyJmGCrEZlVwCYvgBvBBahzceg2JMoCeiBpoqsZMaNQ6RBpMinoyXRJaECgw24CWWiJ6poZEKh9J3FlMZnDGc4KmxIAknHck6oloQZagyOQmDTP2uCNmLiSB5PDInU6O0RELJx0JtS6AtR02WLWIiA0oWg6jFMmDFgHoI41rSJxKZIAnNUDNdE1GTUG9AHK33dGrpo7C1mbnzeG+Q4BBTtlKtVSQ6UEfbKDFaTKzwLtIYZcZAAEx2uKTkZFGjGK9kElFgcND4THRKckBMGO8QNXz+ZyvS5/fMuhWXp8L8Rkk2kdpEdkKOA21SXIJozN4VkqwMzRZHxGxbmgfFiJJCpsUheUCHjuwqFIfbOUzIxR1Ze0LOWC14+ZAdmjOVrhiqgCZlkVYQFQlQdZncjJImi4zZlXVEWnT4XpFkUHVIPyDOoHOL32V8VtyLirbxtLYiSY3zBpHM0AwQayyKqyJml8lRGawheFOiNe4ilWkwpsIJYHyJhlsVPWWJmZQdCSlu5GzLppnW2KQYSQfMgAABAABJREFUNRhVfJ9xPpNtwriG6G2Jous2JCxJPd4ZkBZV2FWJ0Fpy7WiMIzeOZBN9UyEDmJiwfqBST04Gu3Q4DF4ESY4h12T15CowCHRk6vUWRwd1wHcGU83AN0X6T8Clb19DfWdQ6vT0jI2skKScLeaj367j5PSU5ekpi5OT8r6ypuwg7+n0xfCeXCH2zItxx/KYMXH872sNssnIUMZdTSkvrtGgn1y9xDxZ/O4XpvmI0XEwapXjha0i2ezPmQxxUYOz9mALHRlsMr3nvkNdHp7nMTB1bAgYTWxjxljP3/zxj/hX//En8PZ6Dy58HJgCzUq32zKEgZxT0UT5a0ClPuZSNRlzOhoEq/WK1+/ekkIom3YiHPdJHY0+MwIjJcrVAXcwBlQsSUajngKk5GktIEIBjA7Gfx5Fia2UmClH5udH3DKnRc4ImImDEcSZoJJ05GwFMkbWK5/dhPnJCPzI5FRj9kbxtOt/bIxZY0aYa9JkOgBQYzc+1K8esAzdg1KjeLox+z4n08XlSZn4iYIZgQEAs9c+Kl6MUmAULb+Vy3UvYm+MObjjTSSlozBuxUVqMvp0v8bc9+6nwsDj80+ixOPjHVXvx43gp2li8pR2+kjv3lfIR9J+wD657zHT4hHQMV02tk8e6+44g9FYPrCzymRQ+qQUYeYnYNzHnvFjIMDH6mByfzyeS4+f5ekVj1pBp/9kD9Yc33s/tz09/XCD/XFlBJzKoC/HRQ6agDK6iVLGxlN23FRf31Qnj9PIXt0X7vFzHwt1T5H8JvetiZ03sf8+9p45vv8kch5T4t/90R+xu/6A7zouzy/wruzEH8/i/zlSAfwTRsGLoXL+Ufv9shH9pjQBUvbo/Vz6HnAEMk3HyhQ06fId2J/GyKin99jF9rhs38SEPJ7Dxgfet/E0Wx+nYzfgR0D31LbGFD2oCbwaN0vYA1MjK+uoL9jxxZOsLS7n3uG1Orx3f40U/tEP8a/vOX39BVcvLjlbR553PX/x94Wz5Sk/4hVp+ZfYPlGtLaazGF3gpKXqO3rXoG7OrP2c06HCbs9InDPYTGdv2PgVaIfRip2zLJOlGYTolVkXubovAtGbxnBzuiSZipgjg7llPnhqsVTi2KUX5Nzh4gPzumLwluxmNKtt0dCpatQtIAqEnstdS7CBnR+wmhgCbKJlXjvQIsTesyWSSD6wdec00XN2B9tZJhFJw3tCewlS46Mnq8fogI+R3HqiWO5WHVpvMMZzPvyQ6H+OkZ4qCumsJ4qlC5doJVi2tOs7HlYdVuDFf3FF868r5CeB6u4tt70jWof79AMnXzrqTcXPn52Suy2bXeaLhz+nH9a4vC1x19bnSFoQFG6re2S+paoHwjKTa+VN75EHwT9Mnbkwi+v6gdWD4z4uOGPJII4BaOg4vzvlXOYMv/OX5KoIaVdffoZfdXC9ZfXSc7ty/KdtS1LwQ8RtB3i+BdcgrgbZQSsFkEoNVA4qC3fb8puPkJ9BduVFMH8AJ1A7YIC4gOEEmgFMoIBMAxPrAHlJYQRtRxe5nsIUmlNAoUhhNU0ucRO7qObgIveSwkYaxsWMpUQDSRyApTVwOr5LOg4C6M04wP34OcGom7a/l0YKw2ry0JiAKAfsQBoKsyoenoUtB22rCazaUCYtM+Y9MasmvSkBrj4yspWIx9JhKK5/Q74m6MDMfIIxAZGBzA0PNGxkyZk5Zc4HjK7oEXYIUR0XseHBPrCza+Yry5wZRlrujFCp4jSS5KaIfTvH3CWw5UlubaKxLYvs8O/fMcwzw0yptcEZxVhhq8rcRZa+J9KTiEQVrqjYkFhp4irOib3FDII735AkEK2yWM9IrqarPW0vDNGwTp6b+TOWyXCFsmVHrVuWrDFySpUDy36HtDuiznDplDi0qItgexy6r2Fhi9EKS8OVtSAWo5YvvGCl4RXPuLXvEZtZ2sw2bgnB41dC9FvUC8Y5FtFhiWS74x6Ld8KrpdBzDupwwDLcUUmPzAO9ZnYIN+6GK7X46OjuPZdnxT30/c0Se7HGV8qJnmBDy8CWun5P4IwkNY1YNk1PQIorpyrCQOIdTgqbrQeM8dRmAbwg6D1JemwroyOqpdWKKHdk3bKjxYijRhBdgTnDsGC5VdJiS6oHtMmsU0ITnLBmFwODRlxVIS3UZBpa5rElJ8+tbfBtRVtb7NsF3mxpfI8997hVi1/V1C966l1DvT1lN9/SuhWtuwd7CkOFblquxcIsIkul2URUMztVrqxn8EJowLgBg4Wd5c/+x2uWu7f8dvMFJ58smK/v8PUN6+cOuwb/tuflAFtjua5KAApi0TTk+RvitiJdX2C2H7AlLjkXRLqYudvC/YsByZn6VpjtFNEtkR0PHdTZ89wYfpEtvur45PKG7cuepu+4an6OkwHXQ/sA28YRlpbwUqi+UKLpeHi+wv3EI8mwbRqq91tSLWw/nTHfDHgS+VnFSXXCpczYiSXUG4IdWNVrzGBxCE62zNYzQvR8ebJFZsU+XF0Hzi481tXoKsDsDG2gr3cYu4aYCLua5BMiPW6zQporRBvquw2uUpwoJw8PRKPYyuCenzEYIWkg1TcMUegDSBJMXpKYcXM2MJxYaBzNypJcTTCWTeuZ3W2pNh3DXHFDYh4S4dU5zS7SbrdwW7FhSSct/eyBVe7YDT2fvbsnnUbiuXLx74RwNSNdPcf7L5GQkPjtwWK+Myi13vVcffoZP37xkk8vzthuNqxWa9x8weJkyeJkOTKMZB8NazJzLIfFqDN2/9veKBiNwolajxaWj2b9qA1JzvsF7z7y1rgItnK8qP4lFpEKOppv0yJ6r4kzue0YQ4wREVMWvMdlO7LmpmufssJK3k8AhCeL9T2bSGwxfLWwpr6bwVG0WO7Xa/phKIylv4b0dfXqjCWPLp5Z4d3bd2Qx/Oz9DZ+eLrmoK3Z90QUp7mmTXoeUOp0AuUNzkqUohGT2TneFKTciLcqonXTkHZgp4IFORtTUex4BEdOzFBeYCdgqoJeMujTltMlpQ6EIxo6XT4yuycVz77ZyBA49NvrNPqOJpSTj8+6tril0G4KMht9xmqAmHV1lsh71o5FVFmUCpkD1UK4S0W/8TyadqpLrFAq9RD0v9ZZVUXsogJmM/OMkxeWmAFePAQYZQbM9YDGCSdOoyJoPYvxH1x3fQY7GyVdYF4caPUDLIiPjkTJPHK44GKLjd0T24ONXgKk96vLYFp3APOtGBuUetSqC/zlNdTzWjRyDVR8fOx8Dpr5pvB8DB1+X55T27K4nQJ2oll31b0mjR92TNmF/QMffn3bUnB733QmomNrxGET4GLDybXUyaUbtWTBfAw097T8T0Hr8+WPnzhYLbu7u+Pzzz/n8r/4SiYnT2Zz3mw3rfkDEfM0d/5rSUdnut+vSlM5+Fan5ZbOlzG/WCMZOQNKhSR+3A8iIOJqpYyD7P/tzxmPf5Mb+seNf1+efgq9P+8jx3PAVgHMM36uTZqHInhehmshG8M6WOkALwzgnnLV7JlYeI+/9uu/Tn/3HyKev/oC/++O/QT3zbIeM7TO/f9bxksxCd9yEls4G7FkkNh1tnNEOM95c3jCLd1wMiRgsamfkkxO0jlRWqW3LTJ6ROk/eGl7ae7Brol+TekevDQ9Lx1UnNCgvujeE9Ak299RxxV2juCTMtg57uibnga4boDnFBeH8Q4deDGyt8pAjQbd4qTmRc7LdkFRJuzldMxSh1dTQbgyVRCoXWT4MJBx9/YJtE4g+8nLjuF4EROFie8KHOhHMjllQTodzsjvh82XgWXjAYIiLS0I/x5iB6uInmP4UFy7J0fA+7Ahm4Nz8hPn2ApUl4SRhLrdIHFhtDHYbaPqerq6R0w5rM9WXFXe7c3Jq4P2A2JpgLX/6J4EP2zVDXNE963AP18y291wNAw+3hk0Pw/d76veZ6r2ySIKRE7I03FQrFhSGwW4xZ/7Qk1PPgzxH2FLbDeazHpVbQuz46c9+wMXzWy4v7jn3f8Hry8AbGwjXNdc//5f81Z99zoff/e+5fPac2avTMQjcGP3OprEzjwyhzQzuGrh4WaLs3azhfA0mgwa4D1BVMKtgcwEuQvPT8YXnKJn3EBMMEdoPYDzFxe6Usoo4oYBIkzj5KQeG0pyDW9+rETxKY76M1y8oLnFbCqCVKK54EzwxjeGJPaXjOe/H80egiq6UVQT02XhsywRxFFbT+fj9brxOx3JPL0TLAUQ7AW7HMp5TgK4wlmPSkWI8Fnks1K4UV8JMwtOiJUCBUTw7hIE1r/Dcc8aaEwI7Ih0eEwcae47KnOy2nErHOQnfnNIZGEziGS1plK1o+YToI4PLbLnEDAE7RJ7PHGabMX1PcwH3ybHdWObe0KYNfvvA4D1DyGia4xdFJNwNnqV8SrSJre1pXYfmHXWO3G0ucVmZ58j9XOgtKIZtd07jhE+WlgEwtsfZjlMxmMFidnNWs2t6YxBp2CbB9pl6d81ct6TGsGsqljQIcI9hsfN4o5h6zT3PMTgWKI7bAvap0sqCTCSaDVeDw4lDT2as7QWJgUyHOseAZ8uCyAqTHH13xkXaMVjldm4Z0jN6gZ2ued7dUgmk+oSejFrl2fnAxlk6LMOVcGEcdVToelRaxDY4lMwKw4pGa4ws6VGu+RKjBo/DySuKcEaxdWauR7TjVuc4MQgtliU2PeA1snBQq8dSkQW2NAStkG7DohKszbw9M1QmYzWTV0ts05IqR03gxGZMzjzcbWk4wds5q2Vi6yBIxj9kkHuSDCxdR0AYtOEuZnCBdqawahl8pD/v0QfDrhVC7bhli3cJ12RWs5oFmXkWVuEcJ5naR9Jqha8zp0k480vu32344q9+wU/+zf+ZT+yCV89/xH+wji9ij54L/PQl0a7JJ9dYPkVNpLM7mrsBHYHrxjyjMcIMy8/1GanZwvKOH96+Ic2V1TNDjgqblq6/wuVfkGeZ3QW4TU1Uz+cXFfG3b5jtLO3NC4Z1xsxmmN/7Q/p/+5ZNBd33z4mfZxgsQgtcE3NiFxSd9VC14F8Snt8Vuyiecj+/52TmuRzeUM1+TG4WbD8sWV8GTAWXwbHKFSF4du/nhLlgTeK039K8WyLGs7s8YzP0DN0tJ7phdX9FXnnOljvs8hKMZeADeXOBssT4GbLrUXPH+WcQB8NuEG4+G2ikZiEVvTXUDw4TLPmiwq7nNLFmedWxRomaeNElBiPEEGl5zyJmSMosWOpYY90pq4UndA+kYY1/d8LGLel8RXj+nuXwgbMISQWnmV4y6XSBawNVnXn48YzKdlj7V8RuNzodzZ4ui76SvjMolXNGpSDR7ckprmmp2zlSVfi6xlmHymGxX4zGESjiwKQxchA4B/ag1ARS7UGpPBrKOjFcjq0gxms5LMonUsMEVj3Ro/pYkv22+zH0VSy4/eJ2+j0XozWP0SkK0+Wwete9JXoo22HxzBFId/z71xYMYHQ/gBBLfRyX8OuTEmIkTVHxnhijv2r6NsMX2LNqBKF2jjz0rO5veX39gfPG82LeMvQDImCPAZc9w0jLzvveImKs5cNTH4NEeQJejo2j8f6HSpKvGMz7jCbwYspvvN+xJtTxBftALPsyjWWUw2cZz5PxrGK77R+01NeTvCdXQpHiFHgwCJ/U8/Rs4/32htiYh47ln4A61aNy789jZHUdBMLL5P9VsGmq0qkLPTX+Du6C483Gv4+MxvEme9LR0XgTDOQJNDkaO3DIb1+cj39+dM1U9zLV6UTFP1SAHJ87tc9YJ8fnTM/1dMxOc4uzRfRadAJYZNSySYWMcXTt1zFyvuuzfe0zf8v8tr/v0Vx2mKbkwMA7buQn+T+9w6HNObTlk/NUwexVob9axm+qj19mI+Hr8vm6fnrsvvcxYOM4GWtZPTzw05/+jG63w4kQciYPAzHFx0EW/nOmcZPCmCLO/etM7tZaZrMZn756RV1X5b1mDqDS1P5f6Z8yvfumd3j5b2J9cnTN17kAPv3+tC2/bcx83flfd3zP4oUDUw7FOls2CETQESQ3qeiaHTO5nSkU+V8ndbwn+FPy7AxzUlOTEY1kDD4JKXc4asR4jMloHQi2K+WrEoRMkkwwBo/BqxBESK4iVQuaMGfwlt1MqaRGTUAkYYYZxkRUEn2tuFzYCUYDIgGxCRsAIsmvi2hpzmQVknoUcEbItkUlYTQVdxub2daBmRnKOkUMNWUtFDSRSuAobLQlCh+WlBw2Co6MmESWAcSSvUNNRiTjXCRlRzaOnJVoM0YUDY5aIzYLxDgy+yxRCxSgJiJiEZMRq5i6LW4RZDQOoyuDYE4z4ovofU6ZWA2oMfiusLJzFO7uHCZlWiK7ri0yEXZgmHVjtChDvzWghuQhaSZWGXUB20ecZHyGPNTEbEkmkU62+NBjQ4RB6CVhUk+Ve1KyrNOM7LYkTcyjYswl1XWi/483vP+wojk9Y1Yp7JTiGpTAa9mF6ourDprBdsXVLmv5fXJ9VQXnR3e+MVyaSSNDynJwf5uD2HJeHl31bAOji9cBZLIUMCeUDi4NRah8ApFKnyq/T6u2ijJnGQ7gEuzdAffXTppPDQX8mc6vR6BLOYBEluJiOCWlsKcm98IJTA4c1jnNOHUmDq6A0z3yWN7JRXFy8duLQ3BgYg1ApvT8msLddlhpsBJIbBGKm2BkGK+yI/fKY/F48XQYskSclMh/WWsGowTjycaiuSeTSWJIOPLY/okWZwSvmS4KkBAbyb5s4jbZ0DYVtSZcDNTWMW2qV+IRyUVUOeYynqRG05YkieAjZkhI0bHApkAlYJzifINzGW+VHAzZGIIzSApUanC2BpvLejpRAgNZxTqDEQ/OU9OOrnBCVAETSZLZksrGs0a2MmBjiZTZe8ZIb44cI+J9mSN8oBaL5oacK4yJZFFqlJwUnxPGDBgNRS4j1Bhbdkc9DkNTdCyDxbo0emuMrpvGISajyZBQgkm0ZsBYaGjQmBAdSiS64lDGDHASMJpRArVCUcctrtaGHq996V/i8VQjHJtoGW1k9QRKtD2LYk2DEBEZmLkeokezR6zDGIfgaFTxUtZec2epMVgZCClSj+3c26K9FBEMltoZ1AohrYqHZ6WErSP6QHYdbdWS1BM6JdqAB7xXGtvhh4Tti9uxHftjMDXJDCQzYE3mobvjL69/wmr3hko/4XNvWT/7wH1YIRFmfU+oYZA5D8HSmYRBSS0gCbvtaLcBN4Bai02ZJEJvFzz4LQOONCzBrLEkqtxTy0hmsBbvIKHsdhmdDQTvWNWRFYLJhipb8A4NFk3KLEc0ZIaNI1cJNXmUcRGMAe8iEssav6fjtG64mi35ZH6KM0IykVxHfIgYzQRfE41DraWyjtBAsJSIkl3AWKjnFh0G0ECcp9K3xVBNAasMxKbCJIdTQ50jIQaSiQQVBmqCmvK7zxgJxF2HzxXGKM4ItfFkqXCyLe9bNbg4J0rESEQqxeWMJJDBlzWIq/CDJeFJNiPJIS5irKJ5hpodYnuS+NEFV/C2wViLmEhVGYwMGOnoquJh7r/DEuo7g1ICdJsNtx+uid//LeplTbtcQDq444i1TGyfPTAlsmdPGQxTpB4Z6TDHbCeBUTw47wGqNDI4ck5746o4hYxRr/ZR1nT/0pAn998/w/T5/0/bfzzLtmRpfthvufsWoU4ccdVTmaW6CLBRbWU0kE1l5IRm+Dc55IxmnHFA4wCkETB0N9FssNCqKl/m01ceEWIr94WBu++9I+654mVW+3vnRsQWrtX6/Ftr5eeFCCZl4Uz9KL/5mfvnUbjXpCwmkTESXVfH/+Yn9aPgq2H8JaM9mUldL+fpRJXkJL8GFaHpoivhT7ZRenXwIRr3G8v18Q3+p+N9vw7PGQaqyuDjRtEZw8VyybFrOd6949//4Vu+3K4pvniG20fYxJpJPSTlkhFAksicMma6FwEr0oIhdMm7iT8p10yVZMSBdDQAPmcrTeAMo4Cde9HcLsqkWBefs+mXTapwSGJmzUBKJdrIcpIgplk5Y1vMyz3lw4iMdoONyR79Ynn8aMTaEG1JJR19Ir8viEm/ZfzMZYzlTcChJDsDIhCSN0o9bcupNqOhaxK4KTL18w8JkOfC/djr9ZRFpSSFzDDFHzGOua2m98NH+3EeymOiMgFc6f44SGZAYYKhmSEtY/OcM0VAsNZSFlU09q6gQRnCkLx1AYRcpBNs7T1BfV5XH6jP87H3mMHzx1SjMhtofG5kq+WyTfNeZgqeVOUsrjk4dZKmnI6VKS8RXH6vL8z7CQksmI2DD6kZn6vazcub85H7Zy77+TMfY9y9x9BJZX/58hX/5l//a4a+R5yj8z146L1/lAX7nyqc129WQXSFO1lLfk18qoGyLHjy5An/q3/+z9lsoseq6HskrWqjWuoEVKUYprVd5r/NSZ+Y/308L++vT+esuvm1eThv23NW1ehJdOZcwVqbWKOC1EIYBtT52CcHg0p0z03yJivGUCTzA39KCNf/ntfF1wxNyT9bPuNi1WMXDW93Dm87DvrAxj/FSPTc5M2P3NYNL+t7vqKAynLvC8IQ2LbKuhnYmZJjseZdWfPbdgF1YH81sH23pjCBsgwM7ZZi2KO6577oKINjMyxx3ILpCSaw3ln6qudwseNCB5wvMcOK+74mGEUuOgq9wPiB7XCPtbC3wi+LA1ddw4CnMUdedBfYIOzYcWcWDL1l9VDBShms4V6UJ8c1tRnQ+hVKixpHdyXRERzKuug59jB4YXFQ2ps0P98pV3WPk4H9bUG5DZjC0wQoXEPhPEafExYHtBioykvW4Qbb3VP09wxW6FYF1W96+kbxHXSuA/8G05Ws2j/n0B/xfeC+X3O9EC6s8vaXp1DeM1QHfryBJ68Htg9Cs19z/8SyewLDm47huiHUOy7+Y0j73IJVs+GdOI6Fwm++w/5oca8s/Q8F9wJ7Gfh6+QO3csMP7VPa4lv+7E75612JXP0l/NjAjz2/+68a1l90PFUPr0O0I7UYIobSWbgvoVrA8girO5A11D1UAizjRkAUNmsikLKHxS4tUmUadIGonvdNNFzueiI1pgK7Sff2RNbRCyKQY4GfAAd6yeRNL6vDZc96F0AFuiSCTAqyTfcM0cD6QLTzdAQ2IIv4SRNBMp4w2Xwi3SOmPQJOJZGl1aRy9unaFZH5lAGvq/S5ZzLC3hCZXhlAWxMr+DbFnewEjYyyOqUVsKzH/aMBxJagLY4f0GQxKfALllWCLSwlJVYslYMj97Tc8gTHPSt2WAZeRhYNS3r/99H9OpaegElsrUBJVXSsXCTFVVVPtWrYE3Clcl0a1qwwhwFpGi58SSiVUEBFjXeGwYE+3CNS42xFvw8ci8BhoTxpHvCmorMl28OeUCveOcLmKyw9sKfb1/SF0C8N2v/CxlYsNxsc4LuB0LQs1mBdhatrAhcUUrJljVBGeU6Eh/oVDYGjOq58QysNb+w9V43ijeXOWp7IEjcAx5JmbfGmY+COJ6wpwgK6NUP5BjUtGw3cdYqVgXrxlpaCvl+guw3l5h1F4bnQBerW9H2g33kuNh2FONp2izOGWpReWlq1tGIYlp6St1QolzzFHAeCduyLBrTESckTlhzlnl6ONPRstaRiwS03qEa10UqOKDWGmgWOwsY2XSMcsBylZMclBQecaSnrJ3j9maC3PCdw1z1l79f49QMiAasD68EwWINaw9XmCuEtGt5C07IqAoMzvFk9IbCmCQWyDyxLpao9Px6OrCplVQi3+wKvOzBHbi5q7u8rbu9rZP1AXTi2tVDKQxwud4b6xuJDg+9bDosv6as7/GKPuo4f/Hf8N/f/HQ9mx2HXcPvznurP/wVt0yF3hqfmZ3ZseT18yQ/vdrGsZU/3FZhjRzW0rF83dMZyVxY8a1sObHgVvuCHxe+grZHvvoAvf0epR644shJALX1XwLqlbT3DK/DXgX3d0rx4w8vS4nrD9tUDZmUwvVL+vOP50DJ44dUvB7ovOrSMcl3pS4ogLN1rzMuG1gba53f8xeKv+JvLL/mbr/4ppRT0eoSbPTc/PuDF8tM3W7R1VIXh5iLws7McjYGtwO6BhcLFpqC/83gTOD5zEDwueIqhxrsjg7Xcb6/Y2oLSD6zfveN2EJog9A8QqjVilmzf1ZjNTwzugfZNg1lXFEvDEvBSEKSC9gDFAtWK8G7NUL2ir1rKmwqRHqPQ3F3G/FWw/K6DxQIpV4hZURU7nNuj9y+AN7Ti2S8LRAdMC0uzJJiOwbSsuiPBDQylsl/XrH3HIrQf3iDNZvPPCtvNmu31FddPn1LZKCV770dbQBFoslGNSQRrIhqfAai8Uc32pSJwlMGotOFLUpwwE259AqgIM49v7wMaIYTovjFMm9RzNZf040Q9bH6eb0xcnGNc/kRd4D01uxkTS+b7dWag1CiMzlhVM0rCowLRPCS7BIV5X43rY6Hv+4kp9Y8QPiQ0PBaCRoN+qp51XVLVNQsVXDoBwEzAzfkJ9ii8ZwAnPaMS1azmDvzK8RnFEw0CDnKWzywgzeLOW4uTi++FmSAVO2Pqv6TN5gRQ6Lx+ZsJ9IJ4RRvtDszO283pEUBP7vBUwVpMR9DOB3WTwxIxliNYfIrMrSGJ4aTwZGEE3jZnQtJkL+XkgqEc1zEytzEfEVH8TIpHy+wgb4bHvOYQQRnXXDJYIRFBs0micgF0leeE6a5WPCKVjO2RwcB7fZwyeSd5+BCSZtbekMRzUUwYZ212MJaS5kGFI6seJzTcDfz4nPDZvfWyeOAWQ3o9jPo+dg0s5hOzF9Ayw+Vian8rLY/aigMlLZAYkU9B5X+O0zB9L71wlcA5A5HjmIN15/CdArIke1968fs2P3/2B3//D38e1QSSyKvyAHzy/JnwIsP1jgs6Eo/Ar8wETS2gYBr76+hu+/uYbnj9/Tt+3DH2PETf2+3zgMitJ/j/1++mZeM2cpPMhYHUsyyP1f97mHwIU5/fGOeXsufO+kPuHqmKsRcXgPfHUUiNryoig1mJsYktpHL8mqe//KeF/c/s3tFcwbHZcL/fspOdde+R5aGmx3NmSd8sjl0PHjbf05ppCjlywp/c9xvWYWmiLp9y1Fe2hAq0oeeC3wzvqyzv6EM0IFeYFvuq4v9ix7kqK1lAMwvZiwHVK/QBNcYWVEK3JDAOhb7h4NzBcrmjqgvuy5FmvdEZ56Uq2xYALPR5oBosT5a+ko7kQvF/z9PCMpTswFD3tWlnvDpjes1/0HOQGbwxVcUfTCT09x+KOrT5BVXiwP7GWa4yx7N2e2iwoPbR2R0+JsY4nz3tE7mn7QNPeEKSjlDvWrqV4UxO0QPqfWVaCDQ55Y3Frh7g9xTtLve9Y3bUs/weiUfW0oei7Lc44Xvz2D9y+GvBe+Iu/PfJ298DdbuDrux/pugX9EFUPjgGaSji2NXbfUXXRlpF2ig+Ge56zj2afueJ7DpXSV/DNdwPlWtB/4vj22y/RZw+46wPtT1/TeqHrWvydpz3Arg84/8CLrw58+byjkrcY/YJoQ+k6biiswF0LKFy2sHIRN3q3hCdPQQagjWp8dg3ukjh3LNLfd+AtDDVUbbq2At+AmGTreweS0oilZLIDdYzx45iYRr+kNJbpniV6wMt2mVoiOJTtNl0x7Y46JoaUJQJIDzFPSLqfVe80paFE0Gid0n2Z4rxKz2fj5Rl48rO4OiYpINuayiLRfYrTEdUTSc+ezwELlJ6GO0pqLC7lI6s3vkC5Rei44rd44j7hnhAN+RMY6FhzwYJrdnQ0aa/21F1zxNExULkVnTh6HAMVJSUFniVHSjwOy3NbsZeKPVsMFZHb4zmyRmqHlCs6U1FJZAB23EbQPij3qxucDDznSLnYMEi0v9UtofDKOvQ0FyWl8SzjDACDJ7TKUIJ3HZgHpHpOR8EtjgcU4zqKVQAJuGCohwV35XdEH3trIqhXAhuWbFgQ2KKIa5FB2ewMbvWM0g4szTsOdOyc0C8DT9olzjjaaqDnigGlD+9APCoOxHBwFieBmoF3jdANymAG3sqBBZYnbHhw93irXJWCsZcoBc2yZiHvcAygNaYrseoolrG/tHQ8cGRVFJhQMzSXtKXirWKweAYE4ZoXUUUOgIaoiFxxg0XpUfYoA3cYOkrgFRuULbDgDk+2b/sjA4LnGuWKY7Vj0LcMNFgiCP7arXAiWIQjiuMI0vK6LnBiMTjEl2x0zyJ0fG+ecDT3DOZAVX5FbwN30lNe3lL4GnO85HAoaGwDm5avj5eoPdDaPeVPBQ+mYr+seHY03JeB22XDE/mZrjMcb7d823R8+/94yQ//5/+A+sDVVz/xzdM7/u6t0L67InQbXhdR1fGi7ejKHc4H6qNl/d0ND3bH6+I1hgo/LGiaNT+EhqoseHqt7H6q6Qeh1z3u5Q1DiKN/Ud1hJKB7YfFO6UJNpy8ob19Sm4YtnqeHB+q15+6rAfcv92z3e551HX24jrbYvrjj6cuADoa7oqA/PIlylb5j6cF6Q/22pPiv/pLlf/mf8+U/+yteyj2+P7C+azjWNZ0F6W/5YlvgBsfdyworZVyfXhTRgypCzQWdRhvQy6Pgui1mKBj6I7trQ2cD1r2jvDW4QdhfbSg0UGJYmDWNKAOeoj4itxXmwXF9saFeeAoZcC97Bi3xUmKLa+Rwj/XvKFaeq9JhzBP0pwsO5S1teeRiUdBpydFbLv9qR/36iNs1DF+YRFKo2BQP+N0Fw+EJw8MdvrgjXLU0+0BTB9pS2S48Axt6U+OWe2g2+KbiU+GzQamLy0vWmw2L5WJkNmQawAjU2AxCmQhKpe/zE8ZzBtX47twVOkyUBxNtOxjCe0IMTEJYCCEK9H5ifYwMrJlwnWT0EZM4P92NcWYVj9ON7KQKcC4Ifkx4m/6mMAFTk6A7f0fGcirgZyf/Hw8TSHcKt/3p4bMYBvnZpPpgnWFpDUvnKJNnRjPWWQZeTj9HuVSmdPKzs46ROHcxGFF8AvCmIseT+8ewpwl6OQVcYrz53RzNqce7fG0CRfW9MuTaD2Rjy5M64Pti3gSSZvBqNIA+z1iMPQJKmknlShBJC1caHiSWlEy9YBL2J0DqpL3GutDJXteY9ATyzDP+uQAL5Dafja3pV6zBeV2jI2p4zt+ZxuWpqs4ISORxk7Orj9jAei8koGbMxHk4BWuyna/c900unybWnhh8smMTZiDZHHQdh/97IInMbPW8L8x/zJbOOSh1Lrzn50/im6VtzPv5+VAbf9SGz6/oF5IbP+UkG03PUz/yOCD+gUyN+f+Yyt5jdfdYfxq6jq5t6Zp2BB4VxfuJWfhrGaifPIT4YNF08oIoEu0/CdM6/EcEVViv11xst1R1zdB3aHhsrJ4M+vHjZK08GyPj9U+AUo+FP6aOfk0bnAQDogY0OcQoFLXJ/pSzs/Wfcb/ypwRzs2G16nHO41UxPtrJWCSDzz01fRDUeAbpIaxxxlGZCqMFBIMGiap3xuCtw0oLrkMk4HGIEUoxFM4jotjBYKo2qui0hgUWLWDYGCRYjCoOgZWALwj9BhsshRTUUiG2x4hSGah9iOKycTQVGAdV6cAagpSEOjD0ht46gqtZqoLpOSxbZCDGG6qoLqYe/JoyLBFRervHuKhS2ailCCAa6E0fmUBFFES1EXQQTOHxNjAYkKWDg0W90BmHLQI4RbzQhNiefVD6QvELpahKbGcwIa32pUed0oUeqx4TLPtjxaE90g09V4sebR3eK6F1VOJxKEfro9dacaxtw0NXMPRRTcknynMYOgIWVUt5cPgNDLWw0JZ+8NCDXQZsqRjrqZol2ve0qtQqLEvHxUZxdcBYT9STqKONKO9Ba3A+/hkL1kWPfOrjHwpSgWR1u2wHKQE1cVNGBAay3aR9+r5IC0MAnZ9wZ290GdhZxjQ0e93Lhsab+FsyqBTS81ntLqvY5TnHpjlmvlAmNaeRnZSNlSuT7ajk6Q9NzxREpzWBkZU12oXKFuVy2nmXJExe9eDUPYg/u5cPA3L6QoQC8kqfVAYl7+GTqvDseNLgIZr+T3NsVBf0HChwFCJYQuIRRY9XcV1UgvZYMTgpsXHUIxgqV+PT4aVnQAkMBIQWaxQjWU3MYbTAaBv3RwKYikKgpCVYiwuBpQfcApGADXGMKEVsSa0iO8IohfGIU7wUlLKIeizaUlFgxOKkinnA46VDcMkZyjHWpcRDFkMfa0piWzipWZooR4hYVCLDzBCo7UAxKCH66ktHtR4SKKQKvQhiF3HXqy2lWMRWOOMwsqbQuCMOlFHTwHZY0mGKbdIhbUGBTZ7lszmOIh06d6hzaHD0ox5QwHMk2ooqqKkZZMCrp8MjVBgKBg4IimqPJxrK78UQuGetBYKlRGjwBDQ5XIoqd5IU/iyODjf2KjdKHeASI9DLkqhWC0bjWLFqcCF6UVUMA7AIlk6FRhTnHAELarHWURYOnGfpHUcpaHyJsUV0NGQ6Gl/Re4HBYigoewO9cLcPNG9bhp/u2W6hPA50Dwe61qAB3IWjRWMf1oFl30dPk1pTVD01A8shyThiUDX4TSBUPbQNto9ziqn3Cd51eF/GtQnF9oLphVIstSsxJYgqXRvV4AkBexgo244m9ByrQN9F+8WrVpHeoFrgyjX94BEZqGuPtQU+CGYwrG/WXDzbsqouMMMdvRnoq4JeorbEsouKvSYErPTUvoLeYFtL76OHSboKU1uMG6CNa7U1gTA4tO/AKkVwWDEYC616jK2xxkWgUQKiAZGWIAWBBYWrKHwXtbuHNVI6bKGo7agVnFgGB4VzCAXOWYIVOquwCAzax9lDBFcKZqH05ghD1BbwFZiFoRJD23hcKCCsGZY12DhfURZo4dDCstQlrigRSj4VPhuUev7V11R1TVUvCEM8mbRJN1mMwdho4yJ72Jv/zTeoOYzAlJyr+qWNwuyUXTMAlkAp1ZA8e02bV+dmBqsTiDMKcSYDGEkImcRwnHMn3phUFWstxtgR/wpn8UH+PpXhZCM94gjvqy9M6i3xmjHzRXi2mZ/Fe2z70abUh0KONy/OEdiYn279aRvq03SmvJ5fI23kvY8LWY3nZrFg6RyiIQGCkUkX42C8JvkHSVYdhZqoyhf3K3HSsGkJMKk1rYymvWPpRWJdSC5/2n5I3h5N4BFkeCQmn+0/5+1GfG8uxM8BjOjpb6oPHeMdWzZt/EYYTWf3DFixI6NKiJayp+1MfIYQ2U4jAEU0n+gBr9P3KLiaMc9BiN7f5u1z3mY5j5rGioYTEG28nx89a/cPMiHiQ4gxo4BnRJLnTB4Jqf5y5TzGsvlQWmesnM8TbOMiPhb2TMI/ae8EHs6fjER+IW4hYBAhGBMtRoTESQvZfg1MttOSp8NcjyQ2laY03gMkP12m9wGASb3qQ++Nhu+Z9dOPhMfG+8dYQI/PfYxgShzz09yk8z8z9b3H2vUEUIIJkOR9YCMzZoLGU+G85uR5/VEgRHXspyY77wC8Hwjh02DUr++Lnw6SylY4k8bRI7bgPiuW+M726ort1RVFURDtr8kJs+hRpnGO5axt5+v5/J0PXc/hgwcbZ/X3GBCaVchtNkp+9s6H0poDstZGQVjVYoty9Dw6vfPxfP6a8MvflvyZFPwG4WVj2ZiCZ1Ih9oCVBaVe0jcNVAf29Z6qKSkKi7UXqG7xQ4EfLKvwPcZbTFjD5hXB9jwYS91v0aJgsTCU4Y6iF+xdyXD5hiEIenQsdwPNsuT2Wc3m9QHxLcoeLgqGoWb/sGLbvGHRC5e25l35GjXKMy1ZtQrG0pcl9xcPDIXBuyVPmwLveu7Wr9nfbum0Br9k0xTgWo4XnlUTMEeLubvBL34EMRTNn1MOimNg7YTDsotqQ6xwrSLa8eAGLvYDFJZXa6juFxRDz/LynmNZ09uK4UlF/7aja6A1T+hWdzgbcHcl/VDge8vOBu6vYPeF5cn1GvmuR28TuPD0Fl8pP31bsm0V5wv+7f//L7DuH6iKHncdMG8P6F5o20ueycCF7TlWR7p6QygKXugD4eGatl1S1q9BFBM0uhv3S+hW+K7jnQ/sCHzDTzzcOppjQf2Xb6mNYzEU1IenmHDLUfZ8o0s2UrNyAbs1SO2BNqrgNR0cAqzWUHgoeugXUDhYGAhvIihlFMo/55R5lL3UfQm2A7sD1hHIUQP2LVHdbku0ETUQWVEDyALkmsjY8imuJWj0HwZXIB402lqK7KttSq8F6YjMqZ7IcIII+JRMDKk8bnsiqLRP8WyIHv0yc6uN+Rs94jmiIXRhsgPVMKnj5fhz+TM7qkrp53xmFb8czy7VR46nS9fXRP/MyoILJrAr2sCK7PQ9niHtWQ8IFRbDmj1HejoUH7lBKD3CW9asKajY80BFxZoajSI3PcrgPYW5oDArKlzaTAlFuWYLXNDzlp/pEBoMlntKltQskVGVckPpG7xp8c6zooztpQUNRDWhvuXd4nnEGmVAuEep6HXJ4Fc421KWOzbs6HG0XHFFjeeellds9WkUQiWytlozsLO3FFzhdCAat9+SDEUgvKMHWhYULHFuQWWXwC0djh3PcRxZcmBDC67HS1SkK8ObCJ7VBc5bBg10rqGylxQByuGe63KDmgj+F7om2vq6w7Clx7PjFdd4LD2eI16eARUrBoY6ylU22UdTNRFcc7H+G3Zccp0UQnfAVzjWlARqGnrpuMdxyQUFhlsGCjqMegIdnieIFgR2DNR4ymjRTHe0eFquWXCkloGaDucrJBTsbc2gEZS99Pc8mJ7OBi5RjlzQULCiouCIkY7WFWi3RELFUhwtNT7ATdvx1ghNARVbWtuhtuFJVVBRMGApy559u6BpauRK0PYdrr3lZ3MDHdhjDXrNgpZVOHB3EOh6LHt+ey/sbh0//q5geL6jWJcsf9tze9/RDSC+4692HYNfszNbhm++o77v+eI7w8sqKqoiPdVvHuAIu5/3lEdDtRiw1w+8VvCHFdze0G86rFfsfcnKGIyDehk4Pus59gM/vg3clo5lZ7j4tmPx0PJWen5/JVT3e9ad8tUP8FNZMKxXFM+f0tx/SyFHnl4YjuaK41HQ7w+8uFrw5cWadbti4Vt603H7dEt5+5bqCNvDFvMwoGZgvW6R/SUSHNw37DXa7ev3Fe5yiaGjf7XHXe0QU8Fui22P0SxI95xyK5iip9//jFbX2GJJITt6jaZb1O/o3HM8KyppKY4G2xfs3QXl2lPULS0v2XKFcMPv6SkYKFG2dYu2Lb3vOG57pL3HdgP9/RWLlaG8NNy+uUcOAr3l/uuS68qz0T3Nmzvqd5cU+y0/3DgW7QN1u+e4vIbtHWZ1z/UP1wyV0i8/vY/6bFDqi6fPGQUdshAjIyAl1kxex842iDmcn0ZnMOoElMobybN0UsRJGozmqFXjKdjchogRgWTb6jzt803t3AaFSLQVkxfEuDkFdMZUyiwMJZ2Wz/Kq6TwkgVUJsno0HyMyACODYl5+SadFhbWIGPrjkeDjBup90XkKsW6VZV3T9QN9P+D7Zibk/mnhMRDivZDac7Wo+LObC/7Jsxu+urpgVTmCesRMzBshGsG3GaTKoKJNLS+MhqtzP4kvTkosmYeSTzhEJsAAozOAJ9dbmAyTw2jEThOAZYjuNU2S0qPqYLLXpBPgBER2n2TBeAK5dNaHFfAS1etyrRllPHU3MkGJc8DCqKBZozXFOTKhRMfveUjo2C5ZlY+TvKYMjX30XB113sYiBoPGupm1+/tN/Ql7PakOxjg0wWw5Yyd2yTIIMWM3fUAYnn9+rE8+BjScxpVr/hzIUPJwn9egKljrcM5SFgU2bTuBBJAmc7FiT0AP1dhektVL9ZQdmcG7/DkCc8nY2GN2vB4LcXzkOUSn6Ulz7zptnwzoajKCO/ajWf09Jth/CKR4jJF19tAE9uTyzNpxPKNO417H1x4HjXKco2MBlRNbdxopLuOcKRgwjwNT83dCCFxut1xeXLBZrxj6Pq11kuaAzwMo/rHAqNOyGIwtIlA2est75GDkLMyZdPkx6xxF4bB2YmvG/vP+e499Pweb5r/PHY187rj90PXHwM+5/ahc/vn3uVrffK333kfmWRpjOvYRxaiZxr1O/SEl9MH6/Zzw9OKCqu/oh4GnRcVR4CcUzNes1XPBkWC2DM7Ql4GlWRAI9GHg3fI+HmwYsA8lZiGYm5aLuyfsS+HdpbLtShZiqK3BVcL9RrhdOjbU2EGRpQFTU6nn5qFjW4NYRyhX/NTukGFgGwYOT9YY21OZnyn2NxReWEvPsLkFV7OsnvCVWUHfY28bXt90SGmoi6c0xZq1WP7CCcfwlmHouTluOR4H+tCxu9phnaeyLZubb7l9s6IfBK0aVq6idgW+dmykxwwltvuGur7F2IbFw4H7jRLUcdleE+6PeB3ALWi1oy8C68LR7YQOxS1ecbGoYBB+fltTvKkp3jma+oHjoaJtC6qqh5+eELAc3Q9AwYWt+D99CX+33vBSB+7+zU8cxRFqy1930aBuFwxNs+F64dm4huaVIrKjWrboixa5c4Sd5WVYs+haLooDP/5WoLHYHwzfXyumA9sJr/7dltY1hKJBXjzQ3Q/4Boa/ecn62TVfPbvmt+VzLs0VsIaVBz3AsIM2GopHLPgdmKSaZwwja4g906zeMe04biHBAJBBpQXwV0Qg5vfAZQSsdQD5MsXREMGXAvgt0WPdfYr3mgjYHJhYWfdM7KtrIjCW1eq69LlIzygTeFQSAZTXTCwlTfcWKR3LpEKY17m36bmrFH8O+djOMXruIwNrzD6zamGYxTOtIhEIy2XM7LB7JqPoDZmxcsBRsqTEApcY7lAaBhaU1BTAgYEqxfSOCH1YXGIBdQgHhCcoBR5L5R4SO6jiHe8QeiwtVr+nl4IBh7DGjdydQMsCz4I1Gzp2dPzI2ipWlggLHkbT10sCQidLBue50HsGqWlZMVCTXTy17DD0NATWlBSsqLnkQItlzYISy0NcyEOVDOVbhJpV5B4BN8zdFjG2ok9HfXFHcuSGnp6BW5R9ZAGJpXcRyCvY0cglRhwVgtgHhIKCKzx7vPS8cZatgKPH6Z5jtyCIgWJJgVASMAzJYlcJfIFhj3BAqalZEf3pDbTJcMYNDxy5QFnwBVdEU/TKFX+OAAMNb9izZYmj5pqBioBl4IYBJdZJhLsGlAZF2HHkDT0VFwS9pCBwJW/o2dJzwSvapILXsFRlL1d0uuQwLNHiHkvLQE1B9Je9o0l+Mku+xIEr8TZQlT+x8BWmr6k2B7ZmSUnJil+4bzy7JvpU0MURqgPt3Qu06nHLln1jWLkVV7Vw/9DQLWq6Yg1uzw5Pp8IlT6l+8ze0//k7nmz/DnN/wL9peDAw3A7c/3SkfrKGLqC7Pe+8p79qOX55T/uzJRzXDHKB8BouGuTyQNtdol2LFvdsGyH0lv19TWhXcVwuKvAVXlqadUPooOk6funfUq0HhrSGr02BuVjww99uefh3S9qXAf2lorvYcFcrO45Ut7fYu3u6YeDy+YCWlm/V8tt3F7g9/HLouHnouW7u2Nf/AINj1Wx59g8V3aqmN3BLhdQ/o7andWue1tEgeFdccz0MONvB5mfeNWtaFfxT6GSNocZ+qThTIYMSmminzxnD1aqgaCyhh19WOzZBWGpg6TxN4elNz0X1ktu2oBfH9kLxfaBtlfvyC96FDpE9y2VBHZTSB/q9JdQFLCqcbvH1BX098G54idyuWe+vuVxeMWzf4WWP/9khKvQoi+4Zx03N7VNLX7/GNBbTrqldwSpcIPsFt3aB1RY3zD2WPh4+G5Qqy3ISKplU4iY2lBmFjA9tVufXzoGo90ApZsDXmQQnRhFNDARJXkjyhvSxd+BRxtb7J6smASCRiplBKRMmwEmYb1TTxnUUIJXRxXyuo5PN9Czt9K7IZHMmC1BjniW5sJ7ZtwISAPbh4KyN9rVMVEH8UzGpD7EhHmXKJK9Qq7rk8mLNk5srLrdb6rJA/TBuGyIN9qzdhdO2OwGlZuU4kZqiMCpyqnqS4x/bhtm2Yg4QZeE3vWqIzCeRzG6JpOy5ec2TehmzmsUaTjIbxruztp8Jf9lLXi6DyNwGlUyGyjUaKR9BKiIj7LQiJAFhCXya33skjAKkxOfD+Nw0xj8VPiQ8PvrcDJSKhq7N/IGYusb+/V5IfX4+h3xKfeo9QV0mlcBJAD+NLzMOM7ML5mpzmTWTmHup4+QxlvuJMTIb78mGTQa0cxnnQF6KXGfjOufv/HqO5GPslXEenpU7VeH77UXWlpTx+0mvOpsvP4chNJYtJ5pSikNMx77wwb5y9uU8ztxPHkk9xZ2eEqbv87clgzzvlzMedCjVouZye8GXz57xy6tX0aPpTDX8TwkfWoM+FnIpJHbCX/Vufva9+ta89nxg/T0Dkj5176Nr+a8Yt58bzoHQc3D8Q2mc2xz7QOzjDDvODX9ifp+EkkqEYByFWg6mpzUtzi0Z1NNqz4LonZa+ZLAWo0KJUlUGzwDaURVLcIJaD85FYXIwqOnBFVhXYnA4C6UIK7cg2EBjPOGiwnWBsjXYsgXjUF1iB4MTZbk2HJ1FTI9L3vtwhrYIiIsHd64so8Wk0FOI0JZR9W4xGPqgOBSnhqKySAmdGMQccMGwUUtvagrpqGkoXcBboVl5bOOwgyOEQCUBNYoaQaiw3lD0O/ZlPLwKwwChQ4PQeQNlwJoeIw1FGEADFkMtZVpQPUrAD7C/dfghszSBUCDGUS8FjsJgQb7YU3Ud1U7Z90uMCxQm4K3Sh4o+lKyoWPY7KunYqUHw1CF6QQsmEAroy6hZJwFaO7AalLqx3F4vUFsgrsK+rShNiyl6Fq6nAXzh2F7DduO4qBdcXj2nKtcwBCgasEM83TI+Ga40kTINRNU1C+oglAlQyvNGVmHLc1lU/ImTYraEmVX5HCOQI9kTnabnmvgOm/SZwZ0hxVkxqfFl73vZplP22pc9/mV7VNPYmwAmzu7ng+OsjkhK0569T0prbsMkzO5Leif/jbvS9GmZZl3LqSF1PbunRPArlzHnL66oSknAYWmRcYW1KbU0XuJxAyVFgn16JIFAgejZLa9djhWiRZqdFEkAnozpFpRpP6cqGELcgUpsl8CeQTtUotuegOCjkmma43rUGDwWI1Vi+Hep5rLHwA4hehgTSoxEtbpYOodiGdghIqmk8YC9UMXSYiiIHhNzvYZUBo9lIBqnIHp0p8KiVAwoJimsOYRIPhCt6CXWhEgNHBFVSvV02JirZCMrJMhL0ybCSGSgxR6zTD2jwFDi9AFhIOBx0ibum0ktAlEZOrLsCko8PQFPVCDsE6xYJs0Gj0veF+Of0FEQpMCl9kYNgTr6VpTRLVgkO2LwFChFBM6M0qFUssTi4ggxBqGK7HyBbI7DqsdKgRXLQIMbvboNiK/AO3xp8LlOGCgkUBph4IhKbKOSQCkheqTre1SFThZ4OgYCgQHrh+hrUg2btePZsw1/+WdPaG5v2JVKc3EgvK2hqbBHhwalZKB2HrtWhsIwtI7muILeEUygEKUIgbofGNqKvrN03uNtG9uhVaxX1HiQFt+U4CzBeVg0aBfwfYdvBOcKrhYFtTGYAppNduYUlSQlDASj9HagEJCgaNfj2xINhjAYDn2XbFdDIQGb68QGsIbaFdgyIEZ5ICAODJaqrzBljxLohyVric49vOupwwDBsi8KQiuID4iBMpQ4H+cXDUt6dZSmIlhlCH2aJ0pELFBjXIE1Qmk8wRl6jTvvwRR0WKwfokaHCGFQwiB4L1jpKXxJoQXeZ1naUHRx7hhKhwsdGIu4gnIwGI38Rq+OYAe0OLLqPM4obgEMA6IWo4bODFjxp1o7HwifDUpF99Pvb0JHtlOe0BMoIbNnc5hvVj8FSo2/IclmM7tUSvIcpmAUq3ZkMoXgHwEPTFLTy2yoKWTAR3UywmytG8t7wvCAqBo48wg4boqTamEGPmLQ2Yl/ZLowfo8Lm4QMTiVhytrUITQZVxUG9WP6HzutzXesSHRPKZmx9XnhQ+DTY898KBhjKArLzWbB9fU1Vy++4PkXL1g4Q+iSzjZJTs7YjUwAno5sKIHERCJ9jRU1ythIAu1Gfps539hE0YLRTs8MlGCKJ1/I1yQBOzmTEhsIiyTg5sNAzMiOS4M6M5qm/Eic/GfR2FH4iZOBkFUap/fyR0hLf8h51Gk7NcY7u57DeZvOGQRC6vuqBJ1YVhnYeyx8jkD8IRbE+K49jf894+YjDWwSCB9THftYuuf5HFXw5HQ+mrPH8vfHGJ8iMtqAFTEJzFNsajer07gzuc9moAsd55ocq4GkmnuqRnZaNjt535SpH52U68xu36fqYV5OqwlTl1MVxfP3PtSe8/snQH98aOqLGnvVNPZPQYSx7EzbfoXUaPGeyZ1TZvGnxFRJZ4PxwsRenLbvcfubn5iVSdPzIbZoXdV8/cWX/O0//af8v/+b/5bb/QNt3/4qIOhD/fPXMqjG50VwiQWc7VuhPNpPPyd4P+CHYVx/JM/DI4duuj4v06eAqI89P//8UFk/1a/O+w1woop57nFvDlKpRvX8kcU4G3fRBl0Yyz7rajl3v6p+z8NvD45jUdIUBjpHsPcMxVs29XM6GTjQ8RveUDYV9mHJ2wvDSgxb43CLimZ44Ni0bC5XeBWaLtAsGtQ71u8c3fYVxl1QLNfUS2FxDDy7H7i52XJX9ty6HcXKUu4rNm9WHKo76Atkt+Gi85SrnotnDbtXD5heWVvDIPfsSsNPW8OzUFOwwFlHo45SlK0sKFYN4gfK246qC/TqOEjNerukX8BuGY90lo3h+asLfh4WiG9Y9m8IrqSsoL/qKL5bUvYW5/ZUtqe3PYeyoWy+xg2GomspTIkXZe/e0FV95B7cG6oqYG0HfmBTgFPHcLhk4bdgD+h6T1cdOejA8ftnlOWBqkwsmgW4SnjxpObuJfRm4O//+mfM//fAzY+ef+AZz4Y3LM2en6uK0N/gdMXXgNvvCIeet2XJpu+5aAa6lzXdsqdfN0gBx92CY7dE9vdsG891D617Qruu8VJwfQe9h77p2PaG19ZxWFX85fUFX9YLtnbB9V/8z3Aa4LgH9y5uiEwNtYke9koiNiPZ6HgJoYjGP/wOXFQViayfA5GtNAd7lMgcahg95fEV0XC5hdEotUv37tNgvGJS5esZ1fm4JKraZQDsJt27I7KlsuiRgSJlAniy6J7ZSPXs+ZrJu1/BxEyqmFaO5ezdFZMNq/mhQmaRzd+bB+VUPEr2jyiZ1PcWKZ9DKvuKqSHWCI4FL2mp6ChY8yPKAljisAgtSs8ygXRCyRVtVB3jSM8NGi0XUbECdhhaSq7pZGCgZ4WiLFApqCUaWo85+Z60GwX6ZGMq1rFiE5s+4GnpEuhlCRTi8dyjUqBmQeApwgOO1wx4SrYsuGJhGxjBnG2qowcMFYqhw9JLBK8XxhBwGB2o2SGjOmbuI4JSEAHOFuEOOKIIHk+d1CRHEFRiu7nRZtmG6AGyBy6IXu0aat4QeIZQsGCHR+i1opULytLjGGIcqngKDvKcBSUGpeSY+FwZqH2X+sOagpaApecL6lHyVWoEj/LAnhWBAseWJ7S8o2GP5YCyTGWtaCjpKYiGyg0qBT1ldjeAAIMMkXjBlqAlooZrSo6uSHy8r6k5sjQdVD3Bl3hfo+4+AZqGxTCwtAucKfk9P3IDbBCOybaY9QXO1+wJtOYYOXUl1KVyyxsGifPJVbWjcrHX2PaO+3bFG7um44iGHhmO1I1Dg6XDsvoS/uYvHJu/XfF/+798yaFq+PnJz/jfPafuF6xMyTv/Axvn+frC0GwM3Nbc/8frCDO7e4ryJQCrHdzcQkPNAwVvueK+/IEqNKy6llALQRpUobm7QssS2Trk6g/YzlPdd8jOsdrUfP3Flo0ziHh8MeD6Fqt7WO8p+gYdFF+09EWNSZ6Y7l5dYim48PDj9idC0bNY1FB7KAXDit7eo0swX1yyLN6CdPhQYY2jaCzPv6/pn7+iE8/xF+FyNSCuRxGeqDKo8AfW2KbDNh3VUHLhNiyM4MwvvAorGl9TujXvqoGWho16xJQMUjOguGqJUaHGUlSB3ir0gaZe0tmSq/139NWazi3Z7Y70raUMji8vH+h3V3Bcch9eU3uog2fdGpoXhvapUnx/i/UWY9fgLBoiTLtzBYaX1O1brl8v0euWYbvn7heDmgViHK19iVaC1Kf4y2Phs0EpW7hpgzkaKI+ggOH8+sfBJ8jCnYzT5kjFT/dmyMP0TrINFQV/nQkkJ5IseYHJbKZoQPj9k1MRwblUBckNdDTS7eNmPT2TbYqYbEOLaCQtqCEztIKP1xRFA7PPWAaVyU57UJ0YMqOwCoRkdSipl0jwaBg4dNGb3seCyGT3pO37eLIfwocwhU/GFav189V3IAIqpbUsipJFtaBeXVBvrrlY1hjvCe2Q2F8ZO4ntPInZkWkyFwYmQ/STcJCBn/HvA3SwM9GGzNXIKoRjvxrTmtIIswSDxLOrIDNukjKqt+UuF0HU+GI++xGJwnAggxiM7Kcp8WQfSybwMzCzCaYyedJjEq5BTsxmGYmgWQSJp/KHs75zAkhJUl/J9RgSOJTyOYKxZ0LhOePhY/3iHGh5DPwUZEKM5qKgktS9EmCl4wvvpXGeH8jdQk/6zGPC5WOsjglwDvlGui70PoHG6dTJj20VhdtTMHEG/Ik+UpfJw2g6fXks2KzKqVPhPyTwP1aWeXlO005Cffa+95E2/XxWT5q/UgWIz701zvnn/eG87eZhgghyX4z5nAN7yryfni4LM1xzAnlPVHqnvjayCwXEGWRRI5sNr+5uOTYNGaf+I/Cff5QgEp2JeD+cFvSPjS8oEiabah8Diz7Wzx4Doz52/bF4533iHJz9pFroWTx5LzH3uOi9f+/5DGDl3/F5M9ar0eTVN7/zwdQ/L9w96el6R98LbvMOVxRs3Vd8ca8YV6DFmju/xGCxS6C8i1SbdsGiV5ZYxDnctuToHF4MVXjA+AL1C/T+mt6UvF60XHWe0HraLrC5tVSm4Lmp2A13hMFSmCXbiyvoe4R3hC8HNNTsdpdcLzuc89TlkrfvvqTQliftLwQsnVVs2VL2DaIFO1ZUfktQ5a6qsdJj6anNLW8PjuFQ4t6s+PL5M8QYbivDV76F2nD39TPK/p6yHdi+KjDqCEvoX3SsvSE0NcMvC/wqIK6jND1PB42KNkWN7p4T+gK3DPRDSd8XWL1k2Pd4eo7c0+gtRjpCVXHRWq73jlvZsukPlL7jrixx3S3SC28a8AOEQvju7ypMtcf8tuHLN69pnefWVFy3K26DcqDhd3rErNZQXNI+9Gz0FqdH2uYKowdW3ZGnZUthOzCeH3YVb8zAu6Vy+XPFM7PHuiPf/naDvLtEHq755Te/Y3Nb80V7wbOqpPjmGYev/gLsFZg7MD28XcXPuoflFZhkCHwBkSF1BH8PUiXsZQG0oHfAlyBbJpBpSQSqMvi0IL50JAIGT4jC/gMRNMj2n65h3K1lRtIaRttKh/R+BTxNIyB5A0SJwM49EZjIYsgqpZXsV+FSfNnLX/YQOLc7lfOThR1hYjNVs+v52WxsPav75aAfuJ7zvTi7JrPnLBF0y+9ekVlghhphjySGWGCBUmNpiADbEmVIpYngA2wwKHVa/QKBPbf40fvgLzgsBkvDDYEdyg5PRUE0se15nhhSAD1mtJv1jhqh5GkqgSRP1lVSX2sxXFJQUCT7V4rgcJRsMFhgz5GAY0nJhtg3FsA1S+7wxPG3pkeoCCwTPNKhHGf1NgDP0+eewD7tnpdE1pJE73cJtApcIgmKCQQsl+Sd7oIVktpa2KQ0dngeiK4hnmB5wKAUybXEgOeoFUtuEZrUekPiYq2Rsb/A5PnxgOEycb++Q7hCWTDgUKKdqQ0rJPGvPDsKaoQFhh6hIHLY3rDkbWKpbehYJjj2J7rEMFxxRc+QzKNfs+AtNW9S/pYEHI4fUCo8RSy92SMmULAFHAHl4H5CJRICvkawyWz6C55xqDq68p619BghMtnuF7T1kq6suLm9o6kLmoVjqN/R7hd0hyWrYo8fGkLbc3WxwreW/iB0xUNkp4Uy9rnVM8LTv+ZV8y+5u3tLuO35i5uXHKor3tZPKH6OzN3BC7/cBVy/5xv+gR/0GX7doF/0FN8XHNTSGUPgFcZ7LrueFsNgLbuqZtFZOmoe2FCWt4T1HcP1wA8MSK3oquPJD0oIwr9fdfwfhwNXxxW/ebjgX15aLrzhaxV+HoQuGOquxr/wBB9wLwtKvcf5gG07KmPw1HAsMXIAOvzxKdvmDcE3DNpw8DWtCrXsuGosFYrbttjKYbXgUBaYjWEoS17tL7jqXFS6HSCsClgZgirHEP1zri0szAM2DNzdXnG5fMCWntdywSXbZPfrFsNrPIE/ULHwliceVss97eBh8FxY4a00DPRskqJnE5Q/3NVcKDxxLZddQC4qtK55YzoIHrPbQ6scROmBp08W3HUtD76hXgpLc8kibAhvAw/6wF73XFz1tI2jaQyVqamtsHDnc+v74bNBKTnzmmeSup6ZbzwzyHQOTKXd/Pkm1cgESs1P/rOQnQGLDGCMgBQkmzwTqADMWBZpU2kmUGoENs4Etvh7OiVWicaYR/U8YSyjHcGRJFwxSYoBQZPApUnw1ERnzTnyks6BVKN7SYkS0yhrqyZAIFLmjAYkBPohJGbV54XRntCfuov+RHhM+LXWUDgHxiGuxJQ1zpgI4sFYh5GFoxMwleNSRq+MWQiE9E5Cjj54Mp/xhhMhKKlhzACn9wQsGEGheXmymh0yeb6KScgY3yjcpmdzjMmBXGrJHE8ClM7aJcgcxIj8DokIwZjnCY+RRMue2jjf01lfzv3pQwLde3huHl8pwbzdfEwSmwNSHwJApnQ+xgCaxcnUQDr/rdN9mWhnH8zT+3nM7yeGzglYNEv7I3HMGXizborO2izMMjv1q2zvKPUaMenztBCTOlGCVx5lheQUZEqXx0Go89+fAy7L9MJHQYTPCefz+fnc+2viF+I0MUJHqb9jputpmp66xvzH+H0CtHLejDJrt5S35FBhGAZ2ux0v37ym63tC8IixZ5F/JN9nfekfS2UNoO96xsOMWZ/7tWyp0Z6WZjt/ctJ3c7w5fAiQmocPgaPxWoz5sfChueNDz32qPh8FzNPhxfzex8bKNMfFVeRz2v1joS89xgu1Cs4KQRwh1Hi7wxlw4jDUWOMpXM8yeGoNOA1oXyJSYVhiXR1ZXZ2nDFFNy6vDq8f0AzSKMZ7BeHoT0L5DnSHYgFrQZLStHxQVjyx7zAL84BmGNjJ3i4JQOXRpsaHkwlzRDj3GgXEdwZeoGDpnsWaBwbOoFDwYjWzzYAx4WDeepQLW0JUG21vUGWwhuLDEmUCtFm8LhsKzL5IDOSNUfsHgemzRUQdLpxW9WIJRbFCMHyicJ5ioYhK0wzNg1VOqYhL7R52Pc5sKNQdEPAGD+gqqjuA8/cGgpgQpKd9YqosF1sFgegZVQgDvDb7oUdfhnGOw4AmIBLwGOoFQBZyC6ywDS0Q9YgLa1eAaRAb6zuBMgNDhuz22UMxFSVsoL+qaL9wWU60wVYWrkqpaCOC7yH7Ki7WNoixakg1ex86cGEDagMlGuh1R9S6znTJok+1DZZWqEjSr3GWQKjNVAhE4WqcBnYyCiyECXMpkZDzvfrMnPGFiEikTMyqr+Q1Mnu3M7C8/16c45kBTjifHmdObCz/nFjb92TP9LK/nYe4xMKc72Wic5rPsfmY+RwhKmXQDsupkiSR1wMkmagY/enKbRL9yDZrUCw1d3MNgIamBgU3wXKxDQ0e2bRmylytRIjiRVcgM2YNb7Dl5N5F3KRZLZFxFu1YNwoCZdBxQiWpik4H4yL6Kll2ntrfJZlKgQfF55woJwIm1V8zSz6XJ7T6vm5BKVhF365n9pkRbWCVTu1iy/oFDQZSgIQFqbtyTj9o9WCSVILenoU1fc5zZ5hpkIEwokhH7I1l9MserqX6VHkt2clQns/gDxehJ0iMMca+IJRBVGmPOoipn5CaRQK/o5dFKET0o0hF9gUZ1UZdUaJV+Iouk/aZo5ONpUgMsWFCYjqAt6CLNCoHe+Eho6D1qSqyJkKYdouJi6waqAiyehfY4Z9GuAnWY0FNYDxUY7dgdHvjuzS/c9rf0fUOFMogFp1RDB12J7wd2GpBjnGN7DWgJ6hxBF9TeR6cRKI3Gub2yPb4oIzHEG1ZikwqsZ6kd3g8cukBLwAWlHgQWNYOrOT7UNJ2ldYGBXeyxpqAzBdqChPhO6IlmVVDKusdIoFsoOMWEgOhAI9CkMWFaICh+MaCdYIaCSpcUXcBawyABaS1BLCwLehXMEFXUhyKyDss+EKoSTBHLE6Kn3oM10WaaWjQEqgDWG2pbgBe8eqwOlC7iF30ftdeME7BLjI9zhXEOMUUcMa5He4eIBddhJXr7LHxUQh0COLdAh8hA7ldpxvPQrzt62zIMPZUuMaZAbIlZ9dEzoA8Y51BRfGipjadSoeg/bQLj80Gp/J/IaOvIypnXvKjTkgTKCZDK08scgDBikvbOTCDPYRRESSBF0nHUaS3OllmNmCl/M1DKpJczs0AJowSeN7tzNZdoRwrQOLEM+TSakIqVGGFJOBSTzxDSUm0mg7khq/h5PxpJj2BUPo1XjOip4ez8T/BjWjYEjA90feATRKl5tcWOY0wU4v8Rw2OC7fy6AoUrqKuaAUuwJVItRrAnt7mVaUnSBGbOg8nTe2IWIbH9z+2C5WsnpUwNkpfac1HiBMDK6YmhGIGH3Pli/4pbrKgANKaVBNtA7CJ5qR3hFJ0DpznWyVD5CHLl1CSDS1ltMGdRp3VR8/ZN0ndNS3X6nHncS43DYyGy9TL4cX43GtJVnQTcDEx9SPj80O+YhceFv/k7nxTU5fT7zH73ya1ztR/JYx5NmFLeMszCvMlndXFi20lzPeW+nsqSvJVldFJJdTb29Sl/Ue4XJs3UKcE5aGiMvsdqi89LapOc3WnOPDconZ9/LHxo/OaqUKIgCHmelZPnPthWqT8CUXAabbjlymCMc5ab8eVz8Gb+PW4Xp82ioqNeugY9mXPJwJ4yMaPClO/31bqioBTHoI7rgLVCsz/w3e+/5b//F/8dQf3788yvCOd2j87r9dcEETgeDhjhhOXz6ffeH2s+BAbv8cHHOfZE/TmDSExr+llc5+DU+ffT9M7X+Y+XPYNBkLGk03r7EOh3zn4a13rJ9gU5eWeu4veY4XvIrrb/dFAq4NkE2AwKsmHfG/wgvN0cWRvLBmUJFLalcndIA047rIGH/ZbOFoSi4oleYHct8mbPhg3BlrS2onO/UHfK6q0lPBd8pfjBo+09rQncLnqK4gp2Ff2+4M3tA345YK6ENSW27GnLX2h3MNglnbvCX72houZG/prd7nvUHLGLPcdwQW8quhUMuuaCI98Ub3loTfR4Z55SXLa4YeCrlwcCLcYYvlmt+EnWDCpsmiP0LyiC43oJtC1NcaQXRyk90TbLgtrdRcPoDzWvuqd4YzHmAevfge8w3lJvjgyFZ8cdRXAUg+PysGSpLb084Is9TSl0JVw2f+BQlOxNTWguGL54C6uW8tuSoVpjixVfvbLc8ARK5f9VvmTR3lIOHbdAt3rAbQa+3Pwlt2/ests9QAVt09KpR68fsHeC7Bw/tNcUxQPOtTTNlptO2YjnD8R5pjTK5g9vcV/dIl8K3W3gy/WG/2LzJd3mKVZK1scm7jbaDg4HcEuwWQjfgRYQHNjJXhH2Ofg7GG6h3BBZOTVIUnWT5KlOD0TVpGuQkgi+1Gl9y6CUAd0SDZ/3qTevmexO1bPP2zhOJBsAz17sNH3fEllUyVMfTbpXMhkLX6a4hCi410wsq3mY76IOTIDWhskeVk57mH3PBs/zupLfzeCdzOIN6f6aCZTKbs3D7POBCbjoUxkKAissgkv7xTjDRsaNjwpzlDwDHlA6IiyQYYgeYYmlZDmu0IGo4hbBpZojMpbzPtXVAsNmVk8FPXs6Dmy4IBuSn2bkAOyIVnUMjk0CbAItPyfII4Jhkc22pj7xlLghREtIOPoIT0lJZNkdMLwiEL0/SgJsghQoEUiIOwWDsCWuxxnQzMbuD0Rj7gMkBlBM912q0Q2TGmZSPZfIWlpS4Al0chcNh1PRJJVJy4BIh2FJtOcFgQUBj+EXMiArowMAm9J6SBX3JS2vUPZUCcxTHB7HBJbWREP1inJBw5DgrAsGBJ+UOy1RhXDPc1bsKfEoK0oqLJ6GlpCM0q/pkNGGmGHcw2Ci3SdaOl7jWBKtUZlUhghcBbaobLAsKLgDOtrhNzirONPzcvNAdWypDsr99gmV9Cy0p9yt0fpIc71DeqUsPBvfcnAHjm5Baxe86O9ZLEEuLXbwfP/d3/Ff/7f/d35sf8GYhktn+P7lNRuBZ8U9D01N5zp+Lg48b3seQs0PusFcVCA1vF5x3fxCEVqg59ZXdM4QaqFdK+Eo6H2BXVgwAyWvuek6up3QdwWD6zGDsj4YDv/khm5Yo/9xw7v9Gl8f2ZX/wOEIt92Sl9sN9f4OGwZc08AvC4KxILC56RiWllfVGjfsMV2L2TW8so5XWqJ1i+8CXpRw5am8UPkK19+gbkdne9pOsbuCUDr8lyW7lxYXehYv7vGLAD6wuB+iXUhTsA41jexpTOAlJS90y1pKNsW7NIUVPF0suOs6Dl3HjXaY5QVqCxYPO5o19KWN49AOONMzuAWGLQWOavEtbtgSwgq5+i7yLINBBmVoenQPV4tLGn1HK0fuvxKqd5ZyJ7x1b2iLIeISPz2ju4CwUS6eWVbtCtcu8ZUw+Hu8f2BbtUiv6JFPhs8GpYBROM1qdzATEpWTzWscLolhlEEqSJOPjPfztHhyQpuF8hFAmDGm0jNqzAh4jdkbhXkzAhk5a9OCkoADAUne2d5nDAi2iCwo0QhwRXs3IarOa5wGrObSKpL0ayZmhaLBJttTcdPrFTQEeu8jKq6K9z56+stC77jOKsaHpF6hHwQZzpoHAfq+f09I/08dFCgKF8GaIfB2v6dFscuakakkpL6jGb8ketKL1GZNAr41ZmrLua0ciPWSQSk4af9pixLBrqzmliCYk/zmlrMmeY2U6Q4kAS31O6N5K6OzZyQJOnp6xqbKIPEZJYMT05jQvIUwU36DxMU9n5zl/E5jQhPwEUElZMonCd47b+lTAS5lTUiHeR9nVWgCfEVz7I888zn98TOE5V8VHpNp52o/mYImeS6YAeR6BgTkJk9tP47kDCBkMFlkBLXeg1XS5De2b1IvPjVBnxiYJ/U1t3sUTgTqD9VZ0GgtSTXPa+8/96H356DMB5ltqiMw+lgOIuB52s8URlVPSdsuxDzy9seCnIAH58DDPM8ZnMjgUwZ9QwgzcIHEQE1sVTMZrzfJ8UNIYL2a2fyhcWyJUTBRDXm7WPB8s+Xh3Tu64N+bQz67hP8o4yDVswp1Xcd5KTG3/th5fvARlHr/cCHHZ9J8PQ+PjYPZQYExJz3ovbKf/5Tp6WmZ05OHzVm/Ow/vg0sRxA34qJIcGz2OzRnAG/vXbH6cxxOPVaLx6MSwioL2Hx+u2i1GLV1heSvColSuq0CxLzDFEikvOErDkR6jjv1zz7ZwPDEFq9//QlNbjk8KbGjY1h2bZwP92ysaJxwXnqvtEhcqaDccf4ntuLZKvTqCG1hgeTHsqVxHcb3E1QWdr2hvLdWFZRiU9nBBsapYWM+aFieOblB27S2bUIEv6LqBzaqht8q9XlDsawTHj1WHvVxT4LgQw+BarDoWq0vU3uJNoKXg6dpj1GPkSFODeBM1tNYHrO3ZWFg2XyBqKDd37MMF3g80F/e4/p61WrYugJZ0Hl5ywPgLrDfYNzvcQrG2p9V7QveMcBDabz2FdqzWStn8lsXwlqE48vLLlmIvyK2jOjaY8I7CHbnhCvfDa9rQQVPhXcnglKJ5gy/WqNkyfNvQ37QMXw+47x2+LEEN9asrhuDorVAVb1l7z6IHe7lntyr5uajRPyiL7cBq0xP+AXZB6TvhxS/C/W/W/KubK/53/+J71v/bb1j/syeofBvxhvIaJECwcQIbDkSwJqtQZQbLJZgyzcfvQF0Er+SayIjKRsbr9Hy2iwQRhJmzi7Iq3vM0JrO9pvv0PQFZwAQg9URQomACguae/vL1bBC9Y7LRVKX4DZOXvWwQfQ4YzeeJ9ex3Zlbl94Qo6mTveksmgCtb8AmceiEk/c6G23tOvfdlm1YZKMrlI+Ulc5kgejKM7DJNDC3hAkuFHRk/K2CJT3CQTUBazz0eSf7+ovWhYgQEI8gQj3gNJtl2yjkyiYUDB0pcei8bqQ8oKzRBUXMT7fO9S80LshF7T5fkth0hMZziTiZaVoo5f8YU3qU8foUZvT4qQpuYTVnNriSqcebNbUEENzOQkvto7os21ddFqte71FYlyiWBlsjU2gINhoKK3yLjcwGSep5lhaR2FDoMO+Ju5gVhBDIrhF0q04ZJloQymam3BEiqiVGNMqR2PKBsCFRELuEhPdcRWOBZ07Cj5B5Dg2OF4vLqg8UQlXNLeg4JuARlT1RkXmJZYlIdRfmhomBJR2DAc0FifgHwFR7DgFLxBzQZ1F+7jt7v6fsj2+o3UTW47Ai+ZWc6HkzLxcUOYwq2LFHn8e0GfxC21Y8URcGhXlCunyPugHJk4Wq+uPiG//mX/yX/9j/7Hbs2cOgN4bVhV5f0W+G3L39E3Yp28Q3hm59QM2D1lsvfQzn0FHJgde3ZD8KbY8nT5Z5qaanWJb/7Q03XAuJ5uVigRUewDd87RQvLUJW8+EPL0BS8ZkNodqwG+PNhw/PCsThcIf/mn2KaH1iad3xRv6IaPE2AN4sFzbCl1IorKVl//yOd6ynKHu2eoxoI5i1131HrMR5cPolj3ugDDAODsxye92zulpi+Jlilf3pLKA4Ug7K5qpNDgoFOn+LEcbm55dAv0bbAhT1ibhHbUizA8gqRAlarNKMESn9LWXbUZQB1qPUECbTbls5cg1Zsu5/YO8/eGQI3dH2L6gNalpjVARYde7a0ocP5I9e1YFbxsHu4PdAuoa1qlrc9QzXQrEHcMzZv73G7HZurHzi4kkNf8rar6M2RYdHi2g3romN7ceS+6Vk2yurAJ8OvMHSeWSrZJ8AEFE0bTxkFvXP6fxZcZPY9C/3MNrWPglLju0mAlJG39agAlZ9JqEfKY745A6XGGXgCl8Z0xSSAKAEoGpAwE8Q0T02avIWdgUpEcMonQCqEgFUlBDMKYUGVAZJ9qbwjnwSDEXT5HJrUWMunwuejTLTPCI+pEH3ofg5GsuAcNwLGOVxRTPiBZLDIgCT7HelEXJnq3WTQRbKa36wPZYByZpvqRLZGZunMQalTwWbqjzPgYn5fZsCMMHnBy7HMrp2L4XrymU/oYzlH4Enef1ZlMjI+33zNe+eM2/FZQUTGpT6zQXgPJJmll8bO6PXwA0LvH6Mu9J8iyFRN8Xf+R2IfGa+dzUfjS4+wQMa7mU0zm99mSU3A6SzK9wHu98PYHkoSGmbzx4cADJ3yNC/LuS2ej4U5E+Yx1tRYd+O1lHAaG3l7P2J/WVYf8yfzCfAj4XwkPhKENIVO9+M0qLN3Hq8zOUuBBOrmajZEAMoo6AzINCGBjGkMZIcRZ13ss/v+eV967PvnhSnzqkpVlogIZVF8VrvP03y/fz9uz0vyGsm8f+d+93g/PWeh5kOHsQazGsFZR3skplnGSSqwU57fG8PMVHXHxo8eL/O7moHlPE+IjFgTJ7GlcaA6rv95Lfr1q+hpCL6K9vtKsEWH00ARwkh6CaqEsiGYAbWeITA6TrNiKZwhODANiAUtFHEDRhziHaUWOE3qZ8Mhqs27Ah16DIGFgdqBswq1x7gFJQ4nDvEB/ECtHmsAE00sr5InLS+KtwWoEFQw9kApntUQT/kH07MXWDtJahSwQjDGYuoFavZAwJsqKfqAoY6cE9Fkc9tgjKMSh7U1Uir1psebNYMp8S5QDwUmKOJbqmpBIRUbMQRbEbwQQg2hBeMpDBgTWQvalNCBDkpI4FEwSqiihyC8xesaGaLHwwM7isWBwQ2sH6roWMQYDAPVEKD3NN0RYwaqKtCvAxxK6B2y6ClbxQ5QrFtMD/0gaIDOKm0ZoASvwtBZKik5tpbhIXIXqkJw1QMqHlsZilURO4Ex8W+cvDqiPiZk72JxPclrigGK1PnzwLCzNYfckYA3EbiSuVpbBpc6kKzCNp9dlYmBNDAZAM+e+OYe97KKXAZz5jagsrGASW3r9Ptcre9jYV72vE6cx3f+HEzqhbksOeT3so2qMItvvicQJtbYxCCSkzxMjJb4ZzEj6MIY/+ROJ9m0JYP8MqtPk8Ct+GycYd2Ylyl3GSwzqbSx/TW1kaZnJKkzxnTzO34sXXwn67vkPpHrLKR353WeyxzzO6rdzdYRfa8PuJSnqayxJP2sjmBkQiWVSkmqgOd9SrDj76kOo3c/l/Kns74R6zCk+iTlwzGVZbb3T/xtGNKdDDR2adS5VE+5LiWVucOMfcjOekZUqjMMFLRkNUNNKptZzTD6D80SaTYHsUSoUvsHVMoxViFrKUWQViUQqFM5Rv2PqMEi0IWBQXqsVohYsAbX7UGiY6XgZBwNiBCsQQuhNI7WgpYeX5aY0CNdRyhLSinYqsV0S/yg9OqRssQZKPueoIINysJ7ut5hXYReRVvQpIZYFBg1GDWUWiCDpesc615pQqC1gd4ZRArMsEDo477DKgu/oAmOTi1yADGe1cUdm8JSFAVvVkKgwAeL154uFPRWGC4U7jROq6HENAXWBUoZ8NQEA97c4/o1tq/xYR+9+GV8xHWgAS8ttlxgjYEBihHM9RAMKkJNFdnF6ujLChni/WAGgnoIgRUOR/SqOEhHT8mg0T6Vlag+LrP9t7WOkgJVS689wcfe4IyCpMPtoSBozINQE1QYFI5FS3CCF4MvDzhrQRZ44wimxVvPUiJAL2qQymLxlL5hpwWiA0a7qMqJUhpLN0Rw1XzGud5ng1LFDFzIXX5uK8qIgUBiu8zBp0+EOSD1yCn+/AQWMpuALCt9MpwLjOdu6GPI01Bk6IjJOsDjljfaSRBBrI3sqVEIzqBUBI6MxM1HZnA4GEGprMpXhEDwEZTywRO8RzUkg8qJVRWgMHE6Cf59lYIPBdW0sc7A3XwD8keGTwFUOWGbGkYJrBZLlvWCuqoJEkEonxlQEjerWQA0mXk3a5/YDhOXTjJzSTJTL9s0S9BTYq1kFTiVvJDMgKCzchiYbKLl77MiZQPqGaAy6IkQOwq7YzeKxtAn0GFiPwWJ5OXcLkGSEecZFhk0s64moC5V7ViW3B6jgJz+eY/PMBs/ShjjMCKoIS46Z+2XQzDv273K6X4qPGZM+3Pf/Vhc52Iop9JyBBv0/flGRGfaoY+DBOfzjgBJP+oUD06g4Uk+0nXhDFif35+z1XQyUx8vGubqfOf5Ga8lAVkkgzOPMYxOesVHw8dU+cj9SzjpF6KnXKFc2tO2mLyaxZpIc8I8/tFW2vkqodP8RS6OHd8XSfPbCMzpKHolkwPM/V+cg0fZ0YSmtfuEhKpx3ifNL2jAB4/3fQLZJ+WLXxv+NEBqqudI+Ams6hXOWe5Wq7jZ4SPz8sdzdpJKbqvp8OfsvmSGMdNzaXN8ol6X+mm0zzX17VP1vpSDk353dsyU7oXweD/P/SF/5hB0bsCdaOsxMZNJ4Gtucysy9p3YfwJISCZqEjBlzGeMqE+Hu2FJUXZUdcuL9R3sFH+E5psATYfsd8jFEe88gwTqn0uqzlN4T1g/oy4GVr7BvS04LjwPF8pl9RZpL+D+hloHrLMY41kXP6KuJlQ37N5ZjIvefsy2ZjDREkk/LKhtwc3GsDvc49izqO84mDUNygMtK27AOnQJdwlQEFni+Imq77g83sEq0NjAnsCSPYVGZ+gbNYgtCasag0vKYBsOHBnEsNAbSu7BeHQRLZpEMcsSlgaSEHehBYPU7LhihUWHhtcP31FeP2FBxTe243C4pTt2DMstB/MGMQM3rqKsHN0gGHuFfyjo7jz+uqXrDL2U9CbA5YB4R3f35yz8QBiO/EP4ey5+Y1lcFHx1G3hLVEQSWbA9NLhuz8uy4oqBS5Tff9njv99At8D85U88+SFwfavwDH4clNeNge+3UOwQ18DFJbv7guPLFf/EXtHclTQPJdXTS75YvuPr8u9Y/Plfc/HFiifLJSJPiQyXHXRLsDuwD+DXaZOjUGT2U0NkhERoEMrYp0ebU3lXJERhfhHjpWLynNema5nlA5OQvWeyR5WBqWycPINPyqmtpn3MB1fp93zvnfOR2Uh9ylN+pmECueZr5XxUZhZUOUtzDmYIE7gEk7pXDiaVfR6q2fd9ijf7RctBibv8a6a6nZdLOGVxxf1xXuMmJnpkz1iuiYBLCzgcS1xik00wSwYIDbBPq1L8rslulRmBrazytieyjG7IbZaBmMhi2jLVfcMEOEVVRGGV8nGEpKI3gY8TAEX2iEdNbOuO2Ie2TOtnVn/M9USqp7wnDanOOpQdWa0y7ptWQEvgHsMVkzH8cZVMLKxcJ8uUhzvgCouhpiNakAooHUrBZK+qSnXzgLBJYA/kvhAtW2Uba/sEMhXEMXOLIVByAbxD6ZIBcoPgGbjFssAk1lfBHkeH44LsibHiDuEGKFDeMDGzJjtiAw5HlcCmMvWiANwhRBW/ntc4akoqWkpcgrp6DKKRI6ZsMNInTpZjcIbWCvWgVMZSmAJ8C0ZQreiIgI+R6PVRFh0son9E7wJHs6OUK+rWUR5qmpslNC3L258Z/u0LvHsgXBwwmw2XhztevHrNy7BkMQxc9D9S3i8YXMHOKUfTcqxAqLjSJZWHq07x3TN2GN4y8J/xLY3z/FSUNFYxbU11u+aGPb313JcD1fAUT4j9/8019vpI/Vf/wNWiwG8N+//lLzT/z5qHhzUPrUK4hHrAfHVL6XeYvefQLdmwxFpYre7p145WLA9diWn/DLt/Th9+oT96RErKegPrHu06uO2otx1WhYc3lquHNUUVGK6O3N6W9Oq4fup4OMIxDPxSLrl0PaXr6Rx0Bwuh4KkWiFwyIDzID4TwBGFBsGvUtwTfUrv71EMsq+SUwgu8tILvNiy6imerA40rGUKJe+g5BMdgHPW2ZAgLhtDzpnqDYxn7+fUt6+YpRXvJjxc9vj9C1/C8fsPbWrkXi1bPWQ7vWIZ7Xpkl66Nn0wyEehf7Xdjyoq1ondAuPr2T+nzve9aOzAmjMhkpN5OgHTeyGVzIwpmMp93ntihOBOePCInjhCNzOfRxIfw8fMgg6niomzfHKe65QDmBFSYBFKfKYgKJNZWBqbTuW5Jgl2wnaQRerNrxZNp7n1T7EuKsgaBRSlKNWgOGQOga7u5v6fuezwmTx7Ypn5/33p+27c5qNdGzoHD19IrN9oJqsYhLmIA3CiZkxCkaPRczglK57rPq3Ht/xk7sJJufNxGYkrzITyUOMolOcb+QG/3kI0YtZjYYZupXUV9qFLx1htac11lI0o5N7+dtycR+mjYmJtud0rg0htwB83Nq5ojTmJeT1hwl92TM/YNjIjHYoj5eFMSDGcecJsku5zELjXom7X2qj3zM+PA5ODXP7/l7n6POdhJ3EkxFeU/ol3RjUvSdhNsPxi2AWiJbhgnx4BF10bHegHTK9j4odF6H58aWJ3XVR4MS1cpS1JLtWX3ocX0szXlkKaL3O1MS8DNLhBk4OQHxkwQPk7Xx06hUBUkn9GKSXS7Nzh1mQMpsPI3YwDzKjBqlYTA2r8ZRqgnIHVt3Mh0YVbNmz43FP1t38po19jsF5wpWRcF1WVKKJPsPf1p4bI37LJBKiGuPQAgDD7s7Cufokpr2rw3jPDEicnHdGNvpZNqNFzK4lIEoYyZgSU7GFHG8yWyMpXnksTE3B7LGY4SUh9RNIqis834xF/44kVMVSW6chahrP48/HRpompElAVhk246zNRwzgWph7gPyjw9PLAza4vsHDs6wdBVrqenfLenLPf3Fjk21pguezg88+e0GvYfbt7AyC7wonS0xX7xkaCq626fsg8fVJdWN564aohHzrmJ9KDBFBeuaZv9ASWDhHXssOizRds2q7inMgUEaZHHNQM2BCyoeKHRApeCoLQZYs6R4iCp7DytHzxXGKuUy0Jm3DAwsKHjAUWK40sDO3yBSsbY1R54idNQJMBkw7LHUXCBJBSaKfD2GXRK4CmALwWFR1tYTvZcZnoQVzt+hInTrJaXE0/f9/h1P9AqnFhdajL4jdPccv/+FXdXycOUw9xu871AGKhlACiQoC//vGcqCQcA28KZRwkLhLxw3r45c71qCEd4ONxx9zVq/46F1vDlUFO8U9ff4eg//4c9oh9c82Ft+aWFxBy8elNtyx7Bf4w/PwDmuQs+yeOD73x4j/GaE339VcuFWfH3Ycil/Reme0xdr4lZ9FetE74EFmDVI9op3Afwcr2chXTLIkIXzJVHlLgNREIGKA9FDXpWuv2JieFwTgYYufWZgyTOBF0/T72Nsr5mKWIzDEYV2YfKqBxNwlZ+p0+/9LH8dE6CUQbfsiS8DRD2nKncZsJH0Pkwsr5zur93v1h+4ntXB5t75MoB2tu5yQLAJXplLGsdUvnMPf5ldpQSaGfcls2EyIFgx2eDKcUu6lgGa/F3ItposRyY7SXl+y+MuMeS45JTJllUvh1lcE/tnMjq/IwJLGRic1/0cyJpf72f5KGdp2bM4SkxSzct2m07BrdzPdoxjhu0svSrVUAZt52DYnF2fgbeWDLpNAGAG7fL7B+L4kvS9SHWcwaOApUCSoXY4IqPdrx25j8vojdLguERoyaqflh4zgq9CVL3LZawIrNP9PTbNqX70lBnzW9Kn9BrgipYjAy1rGiwVFZa1/QNHqdhRclVa1KwYWNI3rylcZBgNLDkSONJT8hrfldRHh169prXQl44nOlAx4Gj5a/kD3/cdP98LT9sGj+cPlTLokT3KrcBle0+rsV+suo52qeyvhO/uhI0NXD73fPvmGoaSJ+L4/s8F3wm8gWp/Rz0ELmTg9dOeoocndy0/KHRUiJQ4qTjQ8z8GeNN2mK7kYai40DeU7o5yE/hJ9hS7wIv/MHC3rWkvOnb2Dxx/2GKGGrtreXH/U4Rv7cBi9x9YdYatu+Fd39H1BbuuYnHpqJaer0pLUzwg0vD02TXCO/rgeft2Rb26xxr4ZQ9N3eGs4znfsJc7et9ys1e60hFsZiW+w+LY6p/TycCgPcFDLQ7rDK0cKVhjqBI/8oil5YkVcF08ZBfhwJFG4NI8pbIHnBw43Cub6g5X7PnBG7oWzADX25LS3SHmHoOwchuMveCoSjUYrhvD3Q9vkKrGl1/wdHuH1AHtCsIRtBWkFXx4RbuA/fbT8+6vA6VIbIRkN8LkU2VOhbxRoEyD5/yZx54937CfnoxOApPIhxcUee/LKfAQg07gk6QNtZy/c8beOkXDUiwTEBWPsGcCvpIE4fRMFsTSMb2onpQveqEWJAhoSJtvwahHfUdzPEZjtGPaj5RdZKqbfAyc8/mrF+CpDR4DDD7+oon9oyjAOdSYSP0UGGQyjo8kjwVGCGIiC43YHsFMfWTOxjsBabJwT2L1yFRKQRIlccr39P5UgyL56am/ytmGZS7+5DinfnYmYKWuZNNlC6PRc2UiAXOWL5l1QSHL6YrKdI42tuNMJWXKnL6Xl3x7SlLGriFj/U1hwgZmIN5MoPzc8Clh+3RbOAE6j7Ekz78/GmaA1KNzw1nf4KxfzNOZGyof567xh4zpzUt2MtIyCyMBVSNAKvOKf6yM0+8P1l8umxA9f37QtabOO9FJnGOSksEHOZtMprlxjt+OrCfN5Xxkgp1HlMGJkB+Rsc9Fu1M69cnH8k/uG7lm5z0lJTqCYXnem65Pqlk6llExiQWTUtHTNeu9KnSOi/War58+4e9//zt8CPRqTlS1/9jwpxwABFWO7ZHBF9E24XwN+swwAiyz+V0Mk7pamojO1+n89gQ4wXyMCKRzm9gmU7+W6f58bc8XUxCYwNBZfiN2KdFo/exOHq5jV57NtfM1QjR1RYmHATrr1ZOyzywy8qFaSsdI6m5/WrtbOxCs4p2AjY5AfLGM3mpMPL0XXVJIhzjF2oKhFvyFgDZY5xBxDBJQ5ylKxYcSUznKhdA4g+kChTb0lcOWgrM9rg4U6ihcwUARD0B8j+0VscRDMRMPwrrBsBYX6yg4+lBisTjxIB4jJnrR0ageOagAFqPggiOYKIQNIogs4vm8DAgFKHg8hlUaR54oiBXTdKWGSR1ImLxtGRyOPq3VzsU+FowiNqBlBBrdViiDxanFq6Dao90e799Eo+ghIMMetYKaEuk8WivGwUosO/EEG6gWQulKPCX36hlQBhG8jTwKr9Hmp20CDotvFxTssdLh7YD3gT6A2RWRBV8r67bi6C2txkOoYBRfeI6+Rk2H0OP2La5eIXZFU1naosKbZQJYk6qdJepBSEUEnrJh8AQoSGILqSWq4809pc3V4hLzSJQJ1MggFkyqd8LEXBJO1Zrm18rZ9ZwfmcWVv2fBmll6GXzIdqB0FtcJXfksPjm7ziPXH5uzw+zTzp6bvzsP53onOosjPz8dP0735eS+pLzLife/OaCTgZEMrGWQJKlsnagQKqPXxJFFltPO6eZ8W04t8MbxN6mwZe+FyqnNrDmAOC9vztvcoHy+9pi5kcC8TuS9e6M+AxNANc/rVI8yPu9ndQLvt7uZfZ9UT2VUCcz5z2kA4/HTvK5iXDKOj9x2xSyeDLbmuozsK5mJ2Kf1n33y5bGT7+cxFM2hT3bNBmTsP3E/oyPAN7EINcUTvStGLQkZ68gTGDAMiaFnmZQDexwFSo2TV1gKLBZrlgxiCQyUoQDVpEwbRtbYgGKCUPkCP8R9mTHgpGaxqtg+K/l609PsBu5ag+laGltwkIolRyB63dtToQZWLlARGBaGsHB0r3taLzTWYPQAxUBYlBwTFlmoUvUtixDNyhehQgL0QWgWLb0MEISqELCB/m5J33SYThkGxWiHDAPDvoi2ZENAW0E98bvpsc7ggmA78KHFCxg1NMWetjhQiKWyDgkGLz1hKPAoSzztEGXaUDRYCZheKMQhRQtGMd4htkedJ9DGgzIVjHgKU+GNoyVgOKR2cxhpcAwEDEYCYjw9ivUeoac3gYIep4GSJRhDkOjDU1UxHrxLsARQBqU0AWcCi1DTiYAZcJSI6VHxlH3ABKLKoF1Q+AENA12IttWcLelkIBRCkJLFg6EQwZUg3mNc+CyTs58PSjmHCRo90CZhde4N7RxkOv+ef+fPuee7/P0xNYdp86snG8U8AOd7cjHJztDswVNgYvojxQl5KjPj8+e2V8ZyzK5rzmNmfgQ//o5qRLOMRWrK9D0w85oV8AFUQzTQGmLJVAyiHdof2e12+CFO/B+y7zN+jvP+LG+fAUx9jOUyT+djqnwqgrEW6wo6FTriWctA1GLvJap5BhGcRJ3V0YOexBNxM7ZRPMlQwIo5qftsTDeDW2EEGmQUfDD5ykkJ+JA6yXtGnmCUsqaFIEeYO1HqgxJTFs0qZJJv49NvhcSKygyuuOxk9ZHcbD5lJar3wcQf0AnwJAnsZxjMXGiSeb5kYlJpynCsurywyaMYwQhQ/BFsjEdDyv9cDSzAR7Wi5oLqByKNz6V2yZ/vRxRO550PjYckmIuA+GxnKfWTJAWPXhTT8yEbm4PRLhhymsZ4nffHTQ7mTBVr9MQnaX7KHXrc6wofFJSVBB7lPj4NocwDHKcvPWt782gNpjjT52wTf67UN54BzyIZx1oet0nIH/s1U33lvGTwK4wMNJ3NQXmOn1SVVTUBdvFpYw0aFDSdVUqMC03amZpVJ3Md5IGpmLLi66++ZPG3/wXf/g//PfjAIRgIfgS0xmr5xPg4YWT9sWE2Zh4OBwrnaNq4gcn2CX9tCEHRoFibvW7OOnaeg89AqTxv5IV0Ph1Ksh+Vgajxk/hOLr6c7UymnhHGsZ69jELuJ3EDJbNFX/N8xtnegQSqGktmLOfDgdjQkZk8V4NmvDtmMjo2EU2A2LSe/rGhLfZoLchiTWlb+mJFs9hy8bSlOBaUuxV7d4ld7ikXPcdbQRYL3Dc13P2B2mxYyQ2/7Auk9mxf3HHfPAPrsM5RsmDlD1w2r/nDsxVqoOaWi4uCUpbU9gJDYPD3DHyH7r/G2xVaXTDUR4ahx+9bltsNNghNEziEFYaeBQ88rAcKU/CECjfc0g8DD0PBZuVQLQhdwbpao7ZiR82FA0sD3FKzxEtBQ8GCLVZ74Ac0MWDcqHKmwAJN6lKSBBXEElWIApguqo64EiOWagjs6oaw6FlcrrAMhKGn2XfU3kDToevfUR/2rN4OCL9jv31GXy3h4Yi/8ZjKcXX7DZ28wbsHri4NV9stYmv+fz+94U6Vu6JMHfABF+4Jg3J5N2AfhB+WNywbj+WOt//09/gfFH1t+OrVltdfH7i99PyT//FL3pg33LrXtO1X3F8o9wsD332JVq+wxRu++Z1w9ds19i+f8u3VHfXya57ZLTociCBUAUUJkoGUL8hCbASCspBs0x5wplomMBnhtkxGvbMYsCMamH6R4uyB10RA6ikTO2ZuG6ogMn0qIhvlTbp2QQY+Yjz97J2sCpeF6pKJiZSF9Ay01On5bOco532uApaNYOfvMG2Osie0DBrMGVTZDtaCCVzJwAKzeHI4v57V6HL9ZUAtq3dlI/A5jrkdprka4IIJEMpMr0VKMQMRmUU25+sKsZ5zaJFxBstxzvOdPz2ZQSYj+NNxWocZxJyXf/7MHHCcO5HKvzPrK3tNnANJ2cA5s2vzuuqIhvtzWeYAkjCpi2YPj3OmXM6HZVKb1Fl6kyrf+7scw2TkPzPzchqkdHYp/0X6zCGrfuZxOJc+cl/PLDILLDEjm/AylcfP4sghx3E7+22IdqRMylME0iwDyppozS8QbVy1WFoEj+Jp8JRSR6AiKRJWqd+VVOm6Y8GCBVtENnTymqO+4cZ8wYMcudcDyo4VKy5Y8JYIXhTquD2uqGSgMoLjKddfPuMv/9fXvP7XFf3vldc/K3fa0uiCPtxwzbeIDvQIP8pvuHRHvlq+YV8J3aLCLC9w3S80Xcnx4YIb+ZnDVc3rr64geEzCty/7nkprKi758o1wq4afEHj6E9geethsLjD7Bf1/fAF3O/xCGHxLF5Td3vHw97G/qBVeliX6oPAAJSVfVQWl6ekfOn4pSzob+9PP1x2/XAeEJdtFQagHfHXL6/sl3VBSli9xPqo3vrl8xRO9ZGEXrDYlr6zHG/hiteJnDhy15Q0/UodoYJ3FwFKW9LLkFQUL3lIktWrDPRbPwlo8R3rtaVGK/h0mBI6LgKHGUoO/BquoCRwYKPsltY+AXSeAFnxRpjErlue25m7V0GiLYUkwnhB6tvc7QgfiDauLNWF4ReCO5foGtyzRUnh37AjlElsteX6oYR0Imx5/KPGhJxweA6xPw2eDUs7ZUdzIgvdoj2cmTGUhbgSGjIyer8yjm1x5Txj7UDAmFkh1LvDFDXlOz2QmziigcjbG5eTCyJLJp8UJDHl8Qz4D2eLR7DjlRYOTSRUgAVSqioTElgqgmo3L5bSTkBRvIsnTj4iwKEv2L3/m5c8/88P9kSaA2PPJ/5GQ9s+jtPAh4fsfMczbMIfBh2TkXeiN4FXoAqgYnERzjlYicyqqVcT+lEGqDB4WmCRgpPPS3FZJEhrrX6Ih0pm8HgUhANGxD877Tcr9+BGFGRnbIAtbIyhxUsJkdFDm5zyTsK7jPRm3KiQ1xUzfzrkQQzw5Zdpe5sVnlhyicwBAcqZnOVOyVKdjXBmQnMp/DiHAKUF6TGHWj2J5ZHrgE91qLoRPHu9SHkIEboOZnWXNx/48gyGyW0Yvn+chdZSzJKZ2T0UX3NhvTsDVVD4RAe8jSKFgNNvFcUQjcRlkCRGYTyBIBhPHbCvR4OEsbzEDJgIIGQac1c0n5xomwFFgouLJ2NPiE7N6i+pz+bmkamwmkCCnHT8/U96W9PaZG75R+SkxQadyPRLFvIH0/XIioF6n7p1OjZQIoKhk21KBkU1lcv4Vr+F03pfUeRSMxDXMaz6tVaxMdTtSEA0MXcfy+obV3/4v+N//q/8Piz/8xO3PtxzSPPGnAhTndfJJYCv1txA8bdNCJThX/OqDhHkIGpIqG6PRdz/2s2mdm9ar2X8nINNs7c3zzOw9wzgtjfuDGKY+rfnJxG6zMFtfJeV3boss2z3LDEczAlAna4JIBMHToihE9T016XmfDITmN01uW03k5ryg/umg1IuvWnon9MZQ/HKFsIDS8LDcc1kXXG1uaKuSKgysuxUMS7oO+qLhcv0VnRS8kgJTRsCpRfiyaPH9QHuwvFhbpNzQX1+xPgrqWoZyz4Kavis5dAbdHCmdY7X+Ahe29NJxkDuQgVoslV1TUaHO4JbCjVp6HDsWXMtLClosbzm4HpxloxUHsRjxXFQtxgwEXOJLHNLa+Ix86l/wimyUWVmjyWOVUBJVSqKHtiGxLxyOIUTfY87+RKCAYDHNbxDbgDQQ3rKoPYQC8/oGwitwPcXTK5r/+Pf8+O/+A//Xf33gD0dLVy/p++f4Jq483Vc3PL89sjj0fF/+zMGv8c2SX+5+4WG1xlU17vg9B63pncE8P+AODrqSdy9+S/Xwjro5IOEVx+cVsnjOl3//ilquKK7WHJ50uPsrFr83fPvXP9DvFgz753G/eNjA3sX9RgFmY6l+u+WXyyPvVj/wfxj+mqdmyUUFomvgAHIL5opJ2L5nsufD7Hq2+TQHltZEgCB7nLslCtdREB299o2AgyUCWgPRk1q+NwcvrtP3rLL32BjRdE+YvKkJk4AOE8AjTOBRYAK8cvnmdrMykDVnvggTyyYDUvn7fK6cs6Me9z035T2DHp+y0jtvh/w9b5aEUxtV52HebucsnRzmAOL8vfxMdfY7Az4ZXMr3sue+zLrKrJ/H0pxv+Obg37yuzkGUeV3mdpmzqY5MzLr7WZ6yZ716Fse5GmSOs5w9M6/nDIQyuz8PjjgOhMkmVrZDtmfqD+ftkN+9eOT6eThPM+cxM6FyPzoHU+egZE4jG9Cf78zzfU33c5zKBHy+xbBEkiF05QB0LNikudYQ1XRz3dcoDco9Lc8iy4ZXeKIhcHgOVc9KBkrggSU0lqYd6C4qVosFm2rJWgbQAULAyx0XX2z5q8U/5+V//e95pd/xD83PNHfQX3Tw5J7v3wakBFkK3/zQ0A89v98Lx3crBrNC3Ya9D1jXUxQHbHdNcQiUP9zTPb8klB3NxQO7t19z3ytHDvBiQL1S3YPcOvwChu3A6x9gcTxyzR2H4Xvq3Q1fvv2Gf9Vfspcjprzki+EnVHpucQxPtxBKyteOHy6P1H3Pk4cNl3rkYHperwFTEsKad3KNLv6Abwfal5c0l3cUVYuIodMLjK/44k6xqxWD89zan3HyFEfNSxyBJyzUs+mgsh7nFOQpR+7peIejpGZNlVRVjyzo8FQsE9+txYUHrHmCSonlD0BNkCXGRc8oBuEiHBHnwEHFa46sGbSkaV4zFF1kcfMEQ0lNz5E++nU0yvHCUqvH8Y6jPWJtB1Z483BP9bCjssKTLwrc0FMc7ii4xzcQPAz3y8iw+0dlSmVD48zYIBBVtUaggLjhNJBP9kej1Kn7P8akelxN4P2QbVOdy8QmMRgyoETO6Sj/zKCgDDqMb5+DUrNrKY4Pfc65aKMqX5S0yOwolTCCHCoKQeI1kmCnMsurjlo+pbW8vbvj1evXPHSeIDYxqR5HGufChyZ6+FgPHwOxPhLOVfg+6ZEvJh43+8GjITGDkEQijU5qQUbveIFobFZmoJRN/cUAIQFUPrVvkKmFU4fLGZqEnUmKSjJyvHdq/maUisdrE9k3CTMn70/v5eejoXLBSzRinoGoWU9IgJSM8YzC0iyuIOlPM2tqZmj8vaY7F+TONlLzPYPmtPTkuUfBgrPvOn9Ooqyoj9Tvo1kcI3qcjyRJ8DvBIvL4z22UxsOpUPyBNE5AqVmtmCkP47/vzTNTGiYzMUh9IXteOwNhYsdI7ZTKH1JUGVgkt+FJ/5HTtk3hMWZm/n7OIprnPc9q0xPTPDfOxeNL+b3zjpWEdZnF9l6DnrV7yB3i7P6sbub5hAkAO792Po/EMR7OokyATGK7jf153tfTF0MErE6KmYutkL17hvGZNMjnqp8CwXukKCmvrnnx5Zdc3R+oX95xiIbj/iT24B/lzTI3jWq0lYVQOPdJUOpT6SJM9iGBuUnvcY0fQfn8TK7S82fl5LrMnpvimDfN+fyg4zw+OplIfVpJ63weS+ebgPy8TuJXbNZTEHjKbXpNZjD92AZ5fJ2Kcp/lWPIjoVgKqEVCgSsXGEowgh0c1gquDFSFUntHFRYJeMwi1iqWzyrOWiSpcpXq8eoQU2BUwBSYoqYYPKhifIsR9z+x92e9kiRZnif2OyKii5nd3ddIz4jcqqqrqrurm7NwujlDghj2C1/4xmcCfObHIcBvQRAEAYJ8GoDADDhDkNPNqerKysqMJSN8v6ttusjCBxFRVbNr190jo6rYjQ5xXDczVVFR2UXOX875H5xSOAWlGEpRlBKS6XyI2kdolDLowiBSIKIwSlDY1GbZoCPgSJ6OEEx2NIIQZGqSEkdjnBt1WtMFyZ6/pMAzRwbOoCy0TTRwJNIWB2qi8FgDyUOcqpMGVRSstZQENLbvoxKRNmh9zM3Vlvevbvn2BkIvzETRlDVeNuAtvq+wm55+27Oeb/ChAi+0vUKvOnwbKLxmFkqML+j8lkDAKZegkejRi9ATMIRgcA6oAlI5NqrDdga3NWyrDX5dghWUd1TaoNSMznoKF5j3gnYBTYeWLfVG0K3COwU6eeDDp82QB5XBmHwklsEGYVdw3Z/zcz1PgZYM5NST+I5ROJ+ajcEuX9RUw2OqOUSKk9+VV8opYXm+3k3iT4Xw/Py+Wdj+rmBvH3QvHFr3YFd7Kr9zf2HZT3taj/s7p/08TNOaAnr53qHn968d+v5QmObpoTrJ18wkzj6omes6pxcm8T5lItyXPqd5cQfi7ZtsTjXMcl/bN7NUe/fz9/2wX4f7XiSnecmgVP6+u3f+9H42Lc9UG4zJtWn8aZ0fSnNaH7keslbeOI5H74lxjMugnRU9No68ZNFU1hO9EKqsiScOYUY8iG1irYQCLTOQJTopXmiiR1IrgZIjFAYXekqjsEHTC1i7pTCG+dkTLr54xvnbDcffbPh22SGFppp5TNp+BQPueEPoHLr3dBzh0Uho8UWNIiBhQ6trgvcsti0FBX3h6eeBtnPYzrOxLVoCSjyqcNDWUChEO4pGIx20IvTiWUjgQgmYgC8dqrJol+16DF7ZgRe1oQFlCaVQhYDzUZavQmQoM6GiUWCVx+OpjMVoR9sJqigwUqHE47zgXEB5qIyg0DROY/QMg6OipcCnnh1NNiNMW1AEj8IlfdUyORYz0QMeGsURXmlCIJHnxz4TaWCyeawm++JUGHQwOAwhm40KBAzaBwyB3m1AFwQxGKMIzmO9i2b7pkJVJX4NznZYZ9G2wnQe1TuawqFM5BQ3JehOoduPu9/7dFBKRlAqHoyOQNTOabcS0CPnlMrxJqDVQ9pRhzRuxnsQTXDYib8r5OQvMEw6MgGg7oFfUbCJZYlCHjvpw30hdpIfxs34TsimEAQI2bNeILh0pB8cuOjqUVzcqAXvCDruqJUI80Lz3Xcv+c1vv2LZe4pCo9WHyXazYON86tQZWPmBm2k4LFTu3/chxNN37xBrCd5HXgd0wqoCPrp+I0i23E6aQ0k4yoTjOk3+luhHxEkEf7RE7QYto/gzCD3Z7Cj9N8ATMgopE2lkaEQJjET1kzbP3ED7C1EgDO5ZPeCCjhb5MjrSzVt1JAszaseqPgzxVQSuBJyoB0GoaFkTUnFSqXPbpm4bwoGxs5OepCKH3Wt7EXdaeG+MHQpZYyzXTXxMhoQkN0DOUhL87m2/wthqY+XJ4f1Duq1kOo/kysiAV553RqB6tyz5XQEVPKVKnEFZUyLEtMhcNiGQN0IyPhotciUqVGQAMprr5X5E5EmblDpM35+LswfQj3V1OCgZyeqRCMbstuz+D9nZCwUZvQDtxN57ZdhpE0BH06+xfSHPhBGw2i1TLsd+WbS+v0CFEFBJNXofDM/xM+g+0YkZ5m+Vxlk+ePC5wIpkyjeCgNE8crLJlTEP3lpsXaHKIy7++M85v9lw9LtvuXE+0wd+7/BQW34KwDXWIygURusEIHx4bO6nvfs7jg2tRsaSQeSISM7O+pZ3AIKMni6FpJGXAKucn7C7Psvk0GBnGh5ysre2TMcACWnSejBXHICrlM8pYhT82EY5bm7mOK2osZASdp8NakCYo9moH6L9UB98vqphM0NtZ1SfLaATwlY4uTunrO5w9RWnaApdUsxqmN1REM3yfr+cURSWs7oFoJKKGSfcNj2VqTg/nvPeNpRojqWgmfdUveO4r1jWCldDWQcec4YOW6KWzJYah8HgOUYZKEyPo0SSmHIXVngslcQNraNmIyccsUaHlkATISMpWDPnKAFHES5ZEHB4GipKJOk/xRY1WOYU9GkF7Ilu42fAMUUa3Q5PMLm/nEbRSzk4usNRx212OCHICc47NuWvkfMFuj5hzhNef2358m9WXG8rvuh7Cum5PvEE945gW/TXv+SNh6A8UrRUXGOciduDV6/RLlDLGaU6IYjmu5sNjWlwqmO+fMd1d8L78Jia9+irDV4FXp0FnhU3HMkN794FwiaOEdn2hOUWbhUaw9nzmsVZzcu/WfFkE3iyBXW55PE/Ujy78Jj3W9qrwN2yJJwrghQQamgtmAYpW6L5XjbHOoXBCUb0Ihb7dtZmCozk0YpdLaerdC+bJLVEzZVTRm0qGEdu9u5XMhJUC1NPaPEza/dk87Nm8s5MnJ7zBqPJFCn9bILlUxmzlsfUU94+CXkWazKQlvMyBQIyr1X2wjcFQJg8l8s4DTnulDz9UNjf4eRnp6AWB74/FPZX9/2ZNGueTfOu9uLDqCG0X/YcLOMudd8UbT8vUxBsWrZ8zRLbOWvuTesz95eeUSMut13W8tswajNlQvZpfn2Kl7XBOna1nKbA0jS/+Vo9uX7ELt9Zlram/amdlOVDIXN0lSlP+W+qESWT+sgeJqemjSpdy+Aw7Na1cN9Ms0v1cZF+O2CJUCKDKWweYzWOHoulZoEkEKROY1roMLSUaKK54Iq4q7UUzFlXgbZyvOCcdXPF5fY9j84XbCSw1IHz5QopFJU55clf/JJn7wue/+UR/y99g5INF6x5stH0fWClPa++uObsCl58KywvTunqFVSvkOUv0ZuOYtlwPRMW3vO0s1h1zaaE60rYHL3CtwFZB8rbGo+nLVrYPEH6HsWW56qklZKXckavT5nNNc+LS8qzJfg7QrFhvW0RH3dBYX0Z9/dSE7ZN5F08LTm6BTpNvSo5cz2P6XlCwetQ4HVLdXbHhQnYXvHdpefzRyVVVbA8afDNFtUGzrtTyuOA0j1H7QxVFaAtlFuCK6IGt7ymljOihuoj4Ds8N6yZMec8mvhJnhsB9TM8L/E0zORXSHgDbAk8omeJp0f0BUXrMd5D/RyPjodGxRlGxT7oUCivUU4w/Q22PKEtZhxJy12r2Gw1ZfkEqRUshKPW47u3uL7B3T2id57gLM3JlrNSc2qE8mIJb0rkzd8hKIXz5FN+rSIXTfBh5HFSGRiQUaMiD5XJ5jR68TusHZU/p4DVDhGrTA1lsobR7vY2ZOYuSMJpJlzNW8qp0DQBlA7ZBw2yylT6Gt+XNcAiR894PZsXDqeuIRJyoqOqdggO71wkUbMOryzBRULQoOPJketb3ry75OXr96PA+T2EoUy6/EPDjrbGxwSg6eQYEphE9MbnVZriB8EvAp0hgU42CzFEriktEazKpPpZ4MlnbgURYFG5FQQya4/sLMYMZlaD1lPuCQl8yIKWHjCQTMi8u/APpiESNb520s0AVsjLedKCSmMmZBMkYdQWA/wErLpXn1PNNBXz5Sfra3rt8H23f+yBL6lswQ+xARmejyZJ0+eEe8The5LkqMUzAhP72jk5fshmhYMQm/rTkOdApvs66NBN7ZZvKLeMf8OFnL6K34eT+wkwThqbKrjYj0QwyITM2yUhdlIHUxl2IOuOBc0cYPFPDdthp0btkuk+MsrTaoCEho/JXHjQBHISZyjTECctpky2mvsVqXZ/7Bg87e0nB+F/+D4mqmSa0EQ3Ro953eUFHPN8CIT5VF6m/XJHzaHdE0aVuNJ88JGvLsU5lMY+SLMDcnmPs45Hf/LnPH5zydlf/prfv3lPCB4l8gfxOP2hIYN6IQRmdcm8jptbNR1v3z9RRAJapXk2gZqyAxpPDp4Yx9VUk5hkyjc1z0dGU+uQxvYwnQ7vZ3iPGn7v1umoBTn2pZABaD+NP46TIIkrLECYcIwF/BR/itcE8jgQ8UkjNM6TA0Adci5/WHvrN4KuC8JiRqMa+kJjUTzbXuM6y0oVuKpi5gPGtmzqAt1ryg6eqyVGRb0hy2dEDaM7FvOAoUPTcaHP6UVY4ThhjjYFqIpS1pRoFBqho0fT8Yg5DYJgOCIKh9FcytMQT1QraoneYaPxzRmKkjlF1PJCAE1JHc3sERRHxHN0sCn9GSdp2tEIF2nl21LQMa7oC3aBj9v0/SwZFrVEvqJHxN6ypkuwoeaYngVOK8Lpn9A1BapVzE83bLtbts0NxXbLdydz3LyEk0vKSyjbisel5/1FQ2canr4uUb7ClZq3P4PyraJcwksWXLhb6hABFWnPEK+hWMPpLUp7Hl861sawxVC//4yVMmwFjvvf07iWDqF6XUBvodpgu6cs79Y0zZrKb7gpKq7KR8xmNc9OZtweH/H8bIE+azg6eY3InIaWhhZdb6jkjIqnjEDEjF1y6GyyN2f0VtcwelZbMgCBzFP7u3T9iJG3SdgFqKamR1OgKIdMvNymNKdCyNQsKgNkktLJQvx+CGRC611S6g/Ne1PAZH9+z2EfaMrP7YNSHwp/yNy7Pwl+n5ABlofyNjVRDB/4fghoG4gv+DSx8KEy7F/P3GBZ0y0DSB2xT2VC/AWx7+VyLCb5nHMYXJt6ZszXK3bLug+SfSj/wi6RxdT8k5SHQ2Z9h8L03RkInjP1ABjz7yZxDHGMZs0nvZfeNM9tenY+uZ4Btf38Ze3TKZhmgbP0Fk825Q08xlKgcUTvjB7NDYoVGWAWSgpuOcYwx/AuvINKUxbPqNwtrbKgHLfzll4tCHLM83/2L/nsUvHst7/l8ze/5yp0XPnAWfgJS7G8YUv3t+D7FthSbt/ipMeawOldR6hntL/6At5d07YV15zR/+4WW3RQdJxwQle0rOtb2kUL7RxZPuO0usT2wvqrC4p+ia8dnAjXp4FzJVy8bXl6G/BOET4zbDdC7wLtPBCWz6ms5txZ3h3N6YLl/aZlrk5QEoHF8n3AvO9wvGMhFq1rVrNzrtstEjxnjxWl0ohvcOodxzyj1AZzfMudXuKUUNVLvDoDFKX0KM6IhutCYJHkhO9QbFEo5swx3BJpf44mbXyXRlqBhB5LjQcM79MaquM+rIjyOXhmbKnEYrREIQuFwbLxS3q/5aQ+pVIOH1ZsN8fUesvitEWUT3iMQx0tUVQo+Qwlina5ptts0DKn38CldVxcGCptUeV0jTocPhmUsr0dhHo/4SYRrVBBoUKIJ9mewQNPFndyOARqHAamIvFq3NDKRPAc0e9xy6ySwJsl5XzKDqLC+Ox0iz3KmMNGe9w1p5/Dmw4aGQxxZKJxk69GmTcMZckGCGFSI9kZn1cB53XMdtCD6YlVAW00ptD3X/yJ4fudwIeDQuSnEPQOwGF+Vgne+/iXhdl0Wp0toTKgOJjxCexyecV7I5QY/42Cf7ynhUEdMWu8jbGJICCjyV3YaeNRW2fkQMnix4BykIXVbG4YQtSgZ5KuMJrihRTHD/mVdD3Hyf0il3+nNg800pRWeuy/0345XH9oDYYI0KpR+0smESUBZlNg6mCzD4DFZMzmvMkDD+U62UtjmmeZXpf72R9wpEkaQ7eSMYGdNPPgDzmNCSiVEsznZhn6HM/RxswEFUaga78uEvg79n8GUmWfnx8ye78+Ant98oHvu3UhH/gt09fk2eZgOjl2JP8W7tsnyaT6ZADjwtDbpxWxm5+pltOh+eQhYOpj8850jtr/vg/gPRRnH8Ta17YdfodA8J7q7JzF2Tknxyfw5n2MpFRq/k+flPfL84eaAGqlkzfcwNhNP85LdT+EYVDFITHpt2kSkxBGrqjJ+Nk9VIrPKnk4zniePpqvRvEoXQ3Dfzs5vNfXGVfUQ3PcWK5pGunqkPyEmy8DXHmASkg+Qnzks/Nu9Lj4A+33fBPAWULX0HlLHzTWKbas6VG0oWC+7QhB4YLQVoFCGDzTxjXIo70miMYJGBVV+j0dhRisODpaTpihJRB0j0EjFChqLB1eonemvCLJYC5j09jWqb1tUvYviJB9jWDQWcgUTTw5j8JOnAmjOdRg5oek+FE7SpgR3aEPRpmTv6l5y1Q4zLNa1uyM9zNbo0VhQ9pQlzO61hBcILBOe8CxA4j3KNsixiOlYDZrlOlQleeoOIIu0DuP6QOoglBpvOrxW4fvwTmFeEGHrH3rUMpT6hJH5BBtnOB9NI08U4IzgU7FvCtxiBbkpMH3G+xmgwShqzT9scYfK1bHJctqwUpKelGIioCBD+A8GF2ClITUZlnfPPZ7y0AqLtlMJwur+1w8ue9nk7qpLjfsmtHlNHZ2v+wKy/sk3Ozd32/XqfnYIb5U2fsue9c+FP9Q2E9vP/i96/smVvdX1o+/M4fvk89PTe9Q/ey/61A4VI+fcm8a51Ov77f5fj7j7muXO2r6aXg4T7m9plpR+3VwCMA8lNZ+e06BzWn4FEAqx5umsW+mqPbi5PL37AKjh7w+7ud12h8PmZROOaqyuW+EK9Tw7CrN3/HgIh7U1LhEnq8SyX08olDJkiXmL9CjxGDMDN/dYTDUUtDoFi8aCZrq5AXHJxecHxmU7tACZeJHwgZCG2BbxWnryFIXDV48oVWEvociHsDFFg/o4Flta1wvSGmRUCFlUuwIHpRBSo+IjeuFD/jC4I1A8DhlE7/RHAkGcQo6wZZgA3jjwAqhNzg0s06wKtDgaCYWCZtQs83ahKFAQqBwYK0BcejCT5ys+ChLSECMTc0UkAzIS2oriV52sxmrpKOo3GdGMqTUPyRrCSok1Mig0efSe/M6keZ2pQdQarRFUtFUMQhIiwoWFULkdw6CeBApMbqjMALeEpKpaGFAxCBSEsSjS0NpC9quBytxTdz62M6fsIf6ZFBqvdkA40ZaKRUzrDVKKbRWFGWJVgqdruUNqPd+8Da3o3UTkqi/I1TIuEFWWcNgAjbkTTgjeDFKtdMwpjNcCUnsFAg7gxsGs5y9jXZOf7rfHwGc740SjTvjICA6mfaMpmDegVawrQuevviMn71/C3/1ZcyfKKJr4PthX9D6O/OY9okhamYJSmmUNvTW0vc91tpo0uklfgLpWD0SXSsIKm5t48l6HCKxAdQgJEpsNFwSdOJwjNvnbFai0sZMMZqXCDLh+2LH9Ga4T9zWWbLgPRGUJrGztXYc2pMFYfKMy0TPBJyM0/9g1pdBivRbRHa80e30SKWGfjqITbLbT3dzOO2nYdKXP20TsdtlstA2ksSHSZx9IEQNpOKyW4gw5IZdkFom/8dvAsPamTUch7iT103LqBIAnueHmOXJJmby3KjrMV3W1c6WSCR5GEUhhAm1QECSaVoy6knvSoI7qZ0lPRkkmZ1G0GmHliplLy7xuT/cz2+sh13AZXo91sU4n37ItPZDvyNTzIH5YlJZY5UODTqm98A8+CFPoTve0g4AVfvmfg/NZ7nc3vtRM/UT5+Uxzf3PlEfvCWIpjo84vnjEs2efof/2d9g/YGr9vmZ2HwxK0Dpx/nyg3Q/lYVrP+ZAkaonK4LDE2qjFS557w6iRNfSzbKLProbUTj8cQGtJ4yvPI1O+NSbnQQ+XY+DsHwjLYz0wmQviOHXxICRMnhuadTSbDZLmSknapyGO6QEcsz3BOYJLeq0hkB0e/KGh6R28uyEsr9j+dIEXjQ/Cl8dLXFETRPHnby7R5Snt7JQtl4gRxNTcbCuUdBgajroNXmv64ohTNngCPZ4Kg6el54bAo7SRbRIoNAPO6FklvYTsPSqbyIwgS8EF8RQ/EqxCRcEx2RxKBlLiVO9JA0aS9kVudb1jVhV1sqIwk7141eySXud8HAOnaX7s07qu8MyiTpsAnFGFKxwdd+IQ6zB4jnSH1wor0OOoqjnz+Ql2NuOzTUe5bvnqrqR72tPNHZubNbYBMQWL548I797Rr1ac/sbjz17QHM84mf0O8/YC156wbVZUVUtRxvIXG4NWGo4ecba5hm7F19U1iFBI4OlcsLVhU2o631IsC4pWqH75HfpbB2+EO/kpct6hXrTIeUt4dEY/v+D1uuazzZy2PYJZjbIOY3sWsxdpN9Kk/pxJymcIN0QPYU8ZtUZWRM2TR3s9MjCa1GWwqmLkpJmaWU21lLJQDaMQ3BFNg04ZvcfluNNBqCefU7Biao63b3b3MTFlH3jY1eK9H5cD9zMYNwVBsiA3NYnbT/ND8/ahd3/aXH045M3IVKvpoffK3u+H8pSvfdys5g8PU/ApE6pnbais5QSxzwi7WlyK2H/zHDZdo6f95BAI9X3r+1Oe3b++DxDlUHA4TE0Cp+MrP595x3K8rOE0zZdl1EBjksaUz20in3BEHOcdI4k8jB4x47MxFz2Ka+CYwOc0vKQUS4EnsCKIgmAowgkOQy+KM7nFo3DesHUFVZjxnGO+M7dUCLUA/JRj+Qkv5BHXZY0yc34mj4BfUzc9j7bwpvopcm5QTzWPwjXlrXD1ruLONdQbz8mrnjVQs+IJN7xXP8cJlKzZdiW+XaBWZ/i6hfkSPntJ867CG4+cX7Ha/oJ+Y+B9S2G36OIYf/Zz7mZH3K4awu8d7eMOrz104MMtWz+n06f86tbiisDvFi1XTYvyGuqar06f8dnJCzQXNN7h+g3H60uaMKPRjjv7ngvzM7RUaI7YlhZLzxktc04JvqBsA76qQJUoiggA0BF8g8hjCDVaohOJAFjp4nocqtieoSNqA+U51IK8pgjZucQv6HiNl1XkKwzHSPKO6SjxWDQzgu+Q0IB+ycxXzNwMuCW4U5Sbs5hF5xIBoN1AacEESn2OddA52BSGxdEJ83rB6td/zVFdMa8rvnu9xfQlhX9oXIzhk0GpzXoVwQAVgYNIcK5QWmeMAdt1aK0j30UiYRURtIoglZqY7g2glsjwGbGIiMKGIKggmAO8IxDjZX2YjL7J5L8oYI6DPYNfu8Jb4JAscE8DZRB6SSBJQjxCSKZZHxeeGPJzXwjLAJugUEldfmkVn//pnyFG89n/47/jxkLrwz2qxB8i7OxrZXyKVtTHgnWOtu9wwaY6j0JLmApQg8wygh0iE2pAydQ0AT013xsm7yjIO2J7qAREAdGLVMLzEXatMkM8/N5/r4SJedVkI5XfmZ8fgMMs3OxpWOTtQk5heu4YtaOmG61J/aeT8IPgQypr3tZJLtTBcACITZoAh8GkKagRTXAOdhdhUCiIzTfVEBuK8PAaDoQkhY7pSxxHWUzMJ89CPN2eJv5guB9BoSN+y35/lp1yqJAIGyUbe0o6MYiVoFLWhKgJKgHyxWy2mTIe54EwbpE8DJ4FRVTqDzJq0aWC5irzkqDHoDg0/D6kMfUpGjIfA7R24xyYE2WY7nauDeHA63/IXDLVrspmd/v5d86n/roLynnn2a/EffPj2LcCoobOSTZPzP0jmu8mT23AbFbz+OIMI4oORx4scSz8ASjVHxhEBOscnXU4UQPI/il1vQ/0FVpTao0RwSmNC5FE3SiVNp8hkaAn4EnlGVjIngqzT95dPdNx3ST9L0p2+vxuoeL9kCfRyZwd8v2ELk1BpjQaJ+nFGzqtMcGHyTwdEqk50YtfiEB6NtMLISDeEXoL1qK7NqUj8VTQOrz/EKPjx8NvrxyLznJEj3l1jcw0YWbYiKKUNVVY87aD2q+pwg22KejF00mHKjyYGbZYcO0tVWipcdxsTjFaUxWKq2qNouEMheMVlhmeR1QoPAHLOs1z2WTuml0S4aytlL2NPZ5cF6J5TT7hn/K7GKKgdJOu7wtWmgg4CRF8OGbkmsl5yV6xcjpHRBirRdhA0ruy3BHQKBb0GKIz8UAVNNoGunbJpl7itGJOxa/+0z/GHAn/8i//ml9fXfFu1fL8ruNt6+mLggt5wfHtO/r1lq+LS3AOX1XYEDgpFYXA6rJi3QS8dMzqHpEIanaLjvkyUHbC1UXP4hQKVdOVj/GbG/rtit9vC2Td8sg3rMtIoh68pvvbzwnmCp6skesjwu0S21vU3/6cx5+f8qdfGORPhVXT8/7tlj/+vKAyM4yGNu6QifpuPplX+sTkZVL93pKJDkbveh27oIswEn2vGMGkW0Yhdz5pyxtGMGk2uZ7fk/lwsmnWtC88JLznkE0BMwj0Mb6mafi+68wULMvP57rI92E033oo/YdAjClY8kPy+VD4VG2df1fCZNIe6mA6r5DuPySwTgHLaR1m0Ht/rjkU91Pz+bFn968/tCl6KExNAvefFUbOqTwOMkH6dDzse5KchswHNgX7spbNVNx3xHGenEoM7zPE+f8KuE5Q9ZxAjeUCRYOmI4ihp2dLi0mAFWqDruKBU4/jKZoGxVsMj1nDuSB/fE7xf2u5Yc1dd8uJP8eqjsZseNq/xa6P+c3VI+xNiesCzipeyAwnG9Zc87jr6LTj1wtPt9mg0v6s9Tcsjj0/fd7x5o2mFY+tCrpugWo8pdty1WzxtoCgeXH1GY/LC5pKoYoWOYL24jnBvkW3PWYpdI9bgunArLh62VN18DM/4+7znhaBN3DMDcdcgqzQ2mHFszYdp43n1Asn3YLNqmFLz6wyFPUxRgUIG4ycgppDFVCqxONo7S2FPkNJgagz8pwbwiOESwRLGR4l5QQHvBz7RCgYzLLDMSNn4LfJFPCIwDHR4+Xb+FQ4I7DAiUWpTVprDaG0hNIh8gQxJWiBdglGQJf4SuPUhkCLwSGbLcW25exJwK8KuqWmXFdo5VHVhmdaaMyWTt09NDCG8MmgVN/3g0aUSIhCnUrsOUnYIhBPF7XGJWFCieC1iho0TiFKD0BU1qgKISTOKEGJxw9u8FQU5gfASpJgfEAQGOY2mYzX3VNkmfze0bLaSSYDBSRh7NDgHyGCe89PT6IfEBYPcaNI5qWSCEL0LnB8csbpo8eczEpW657Guftm8n+HYVo3f4imVRRcQxQYuT9tDoCgjGTQWYAMk3bOnyG1+SAIDYDiaALiJ02wv6TI3vVhKzIRagZgYD+/YdLKMgWaRq6o6RP7QBQJgAmpHNMN0CETrX0hfqePIGNec7/9gBrkfbBxlNP333Ffm+rw5jG2XQJlJ6J4bh8ycjE8O6n8kJ5FHsz2FDtSI0L4gXB4szjk5l65ZADOsm5SJtmP35lo10WQPacVnTXkxvSxr4bdGWi3WLHCs6fIMMnTCFrm+ppohMnh2eZQ2G/jqabkDwWWHw4f2qB/j1Q+wUxveu9QHKVGgDPej9/lwPyYwav9OPfEidRtw+AcYzT9LYxmPisptELb0ez2DwGkHtIg+9Q5t+s6uq6jMMUP0ojVSsUDI5GBP8s5NwDU8VMGD7tqb0wNhymSQCnZG3cTEDD/fqj3ZFhr0Iia3nyo22UgkbCLmOaGVuzx06X9Sgh56DGOxhDVaJ0j2B7v7PDSYDtc3+P7j/MhfChse0sZLF4soQNnHK4M0NcoH1DO05se5UH3Aq2hUy1LvaU47gnKE3yJajpCZdHGsupLagym0PR9NOczRtHTJq88UazwOHrpMMxRCD4IErfWRHLx6HUomth1yAA0TAWk/TCZtD8qhGeh0XJf+Iddc5aojxzn4o4wrM4l2YzMJy2WtBvA4wgSsBJw2hKUhm7B/OKU8xcXPH9U85uVodEddhHAC6qNwGTdg7LC2ilCbeJCsC1w1qHDlr6r6MXjTctMpYNIpSi1Zyaa0hmuOo1gMMaAD5TOYFwFvafoHTp41vMSsQI+mgGWOoJem+OG4AVZVpy0PeXjDSEoivoWkRrbpXVI4oGwZZuqLnP0CJkPJH7OiCBTFvqnXvamWjbT+p6aGE13RlONjbzD8YxaLbmN982Gcjy1l8501s1mg9Owv3M8JPR/XyDgUNh/broTfCgvPyT8u5bO32fYb5/pnvJQG7J3fwoy5X56qNwfM/n8PuHvu17357pD14XRjDb/PjQWPtYvD9XtIRNCGOs5e/IkfcY5WFNC+hMcQqSXCYCix4QN0JPdglh1hASP9j1Ge7oQ52QISGXQp3POjNA7xWZT0IhgxdCpGUe6x3thu7WwKeM6WfVI7/Da0YnFVp5OoFGKkgaVyuFx0dFQEELdYVSg2sLGVSgXmDXQdS0OS9AljVVsrUEbg3EBLZ5Qe+SqQjUaZXvKokcMGCf04tAinDpNjwwMfZUIpQDBYvstvd/iraUPQhAV8yfRg22BRnmXmq6KlFC4dNiXnSylFVcEoURCNpOLhwGSSWFCttfIPMrZeUG+NnVk4FHUBCo8hmjr0QzPSVr5EQvBQkgmTNk8UzwhOZmLnmYB5ePhDApai/iAVoHgtkjnYGugD/StRZSj3kIXNljZfqDfxvDJoFQ8JUydSzwhRA0CYOCSsLbHiUTwqe/JmlXxT6G0QukyAlKJFyODU1oTT0tV3DApiZpU3vkBxJpqWYFLG2U1jM+sFQKk+OP1h7bD+8LrjvAznU+H+FmoSJvwA+lmU5IpCe8h85T9fCiRyPcQAsF6VDmnPDrl4nTBu+YWWhftQSfhMLDAvVPxQ+GeBsFHNAymeT2UVjRbiifRetC8CRPAKf0pISi1YxHuiO0vOp3Gp/Z3kLzyTSzI03eVJEknMphUqUmjDSKRjFvrmFkGISrhB/HdqWySgZeQwBdJeMSQUCLbTd3AT9Kd8qVMPzMisqOFdwCcynW5W8e5TqaNcACJ2wsPteuhd06v7fTpB9N/OM2x3mWogDD9P4zf2amPadoHBh+TdjuYo9063tWKTO1MiIumRNA/tnMUVKMiczZVSlpneaiHBEAkDZLMA5XH2aT1JmXKmpx5EVfJy+K0PyY2ENkHL3Nyu23x0Ng75MluP86h8X5/jjhc7x8KHwKVDv1+aC6cAlAZRIqA2/5cFNBa4X3WZIoaL4GA0hI9AyYNNhnSAR98vCZAEJRP0OrEliykZ+KPsf8ao5jXBbOyoHNucGD+DxVGonNYLlcoEY7mc7KWl3ffX4vHGENhDEqErutomoa+7SjLEpW8+2lTxnU6g0qyO7b2tY+nfWHXtFB4oJvsgFxRY22cPXd7Y3Zlkee+MGzkJKef+sWQx1R3PrjBBE/HCiX4tD6nvqJ9IHiH9xbvLa63OOvw2w39doNrG35IMHqLFosSj/VPuKNn5VvOuoLQC52F+eP3gKHrwVwqlsWKm/kNs2OPVy1OWZ7c9PQnlubYcetvOBaDrirU1U/pS01zXFDSMWPFUSIM92kjHfiMEOK2r6AluoKugVui9vECwzLVcOYfqYFzoiZTXrE3CD1x83tO3EqeMc5s+yBHNmLfEM12mMTZB0MymXA26TslEwFHzaCOlivKBFitCGzUGqsCnS6iwYvVcLOA0xP0xQnnj2YsvqoRa/n2lx3Fq4LqVtiEryOzSShpu8fwdI3MHOFvL1g136FZ0y5eEGaXiKyhm9FpAwa+AOZyDOGIV28XNICIo6pe8tSecWrPsHyNx2MN9J916KsCvRTC42seXbdc3AV+/edfw+vnFG/P+TP5a+yi4rePT/jPz0sWs5pC/TzWRbAIPTMuCRJJzIUVmhJNz0gWPyOemJepTbaM2kwN44iqGEnM86l69nSWzYaWe23bEE/aYdRwm4bc9nN2PZBtGThQBpCqYSR/3jfP2k8T7gvoHxLMHwofE+g/VQtpP53p979PU7h/X8LuPuh+nef5oNi7n9s6C6/ZNHX//n7df7rPrh8W9vvd99Fa29ege6gvTsu6T3aex1fgcJ3k+Xl6fd9BQAYuFowOEBI9Dwq4IPPYRohMpVS26fmSSJK9YSbXbHA4An2AnhnHfcu86whzj1aOOgSEx6hiQTk/4c9OKx6/X3D99qf8rvi3bDH04Zz1vCSEFeXmFVV4THe0YfPkivdvK1xwtKblu3OFaQ2z64JH4ZZeFLeJSH69qvn6d0eEP/qS023PZ1/Dl8wwoeCiO0L4hkZZrquKv9S3XIdjftadU200s6ZjxRvM+89QrUOqdxwHqDaGo7fHvKkaXNmj+o4Xr2Ajiq8EanVGrc6AwHr5ju16g1kWvHpcouaBebHiYl5SS4mmZG2vCA6O9ClddwsEqqoCeYaSklqfYEWS5mtB1BgGkR6YE0313hE91RZ4TpCkLRzbck6kGfiWQAcyQzgDaiSYRGqvCRSxNygLoUFRko9ZcRrFKagaeIPF4fEUVUVwd+DWaOPQYQa+gsuWcFwQHlVsmlvK1lK2ipvQsrrpCJcdn688/faGbXsH/+pAl5+ETx7Jes/0bjjp9j4CCnsCtjEGSe5pQ0haIyEg4gjB40JE+yI3RUBJ1llIWxjxeB8SV81o7pc98+XPh8LUW1HO076Q+qGQ0w+EHXOSafofC1MBa6o9lZPJpilDXU6enRw0syu4Hz5Rv68d8/0Ey4+VYz/tg/Uoo+DROE/vQkSvlcKFgFXxdJ7s7SlrxOXT+HwgErJqbwIWRYbDktg34ks8kTsqvZw4pSaDt0nxo6bQPqF4nt5HKCObquR7A7gyPDD9HoYG2sFYJtECJORsNM/8lPBxEHDMWdbUmOZ8P+/7S9e99x0Eyg7pgEzSTv9F7cXDANlUuy0M5IDjAnqoXLuX9uthkpN9sJgB1fnoGI+eHUEFQREQiUCVSeCTSqXMYzBkLSmSdk56tw8+gVrg0nIORFJAMosWA4DlE0+WClljSjLGmZaDMOk72UT0QD/cr7VPGO8PzX3fZ644BHpPNZ4eiv8QGDXNVyCuJYdDqvRUFxlgUirWr097vQhAxEOegODdaO4lIiivwPtBeyaISqB5vLDjaTG9VwIE57HO03pPURp0rxH3dze/fkoY6y6wbRvmtmY+qxMP1B8inMXgnGW9XHJ3fUXbtHEceUdRFhijEmCb20kNYz/zT2UNyvh9BIKiZtQ0/+OWeTIDjPeRoQ29f6Bup9puMAETczvH52LWRmASomleQi7JtwkBcQ5nLc729Js1drPBbjc0t7dkpyOmiISwutp3Pf/9Qm8KNt0C7wr6o5coLRxRUC3P6YOmFaG9LAllA+WKk6pgWwe6+Zyz5Qm6BzXrqJoO7UrojgkLRzCRpFSObzAqJGapJ7R03LDmETUWjcegCRjuMKyAI+LpqUqgRgUc4ehTBRVE7gkP3KAG4TCDczH+eDL7IbOSDGDMIMFjozeo3CsyiJE9ydn0PfMdbYEGwVISUFwAgSMuuVM91oNqj/FFRyeBle446RrMquPxm5KyUUgvlN+UuM05W1vwvnzLrA9gNPLzDXWxRYWO1fM7mrqnDIZf/b7gTTNnYwJPft5x+bZgvSy4sjW3oUfKW06b93RFgS1KutMXbO9uMP0lTXBwCmEuPP3qmGVXsPGK6mrL0kGnC37+Tc9tf8tm1qK+eEp7dkbTnbPuP0fXhrNHl4i8SAtgBTzB0mPpqPk5suPdLLfBM0aBdiqkloz8Mi0RFDhL96eEA1lTMEyedSnNMx4GXtpJe2fh2TJ6CZPJ/RmHhfpDwvt++MPnvB/DP0T4WPt8aN3Kc0D+Pt3BTjmZ/v8Rfki/+1QAawo+Ta/lNPbHh0vXpp4Oc11lc+wM/JaTZ136nU32IidV9L5apHnlLR6Nw1CmnXHcyS8J1MAXzFhRowhoejqKQoMucDbuE0ptQAK2sGwWluv+GZ1dUcnv6J9vcOsj5NKw+KxANce465LGvyaYHjkSetfje484QS0U3tU07Sk3xTULLF/0Lb970tPXijC7Ajo2XnhdFlx89goBto3n/L0QQuTxev9yTVG+5vyP3/DmieXqRhP6nv7kFXQefA/Lgm1fcRUib5NWildlSd9pfBHwZw3ny0uObl+x5PcsNy2bxiFlx8lbTWE05gLk3BMKAU6pdUOgBdaU5UWse2mIZnoBpENzkdpqzTAPBwMSeQMjmBjn0rgju2P0aplJ7Y9S3KghFTWpOqLZXgUJzMoHQJJN+aUCs4iCEBtgiXZ91PDqNL6EoGforiYec23hUUnTO7qrjsVlz/Jlw+pNS3n3DlcJm1r4NgRMHZid5XH9cPiDQKn909IcpiBMBFwCIchgoheCQikXvaqF7LUKlIqaVzFO3uTuamxMQaYdwWbYEO8K1t/XhOWh096HyvohYW4wSdzTpsjfI69RiJt8mWg6KTWYFkhKx2hFoTPj/v2N/UPl+LsGpj4WomA5tk/2vBeBGZVIg6OG0XDqrkZzvvidAcQYoCKZCDjDPDzpF7lNUlGj6+pJz9mpg4Q6jJnOLELRpGGSdkhCcC5bjs9UK2baxbK0pmQHuyKXZQC87gvxH+urh+/v6ujlMZMyfxiA+IT0p5oNSVLffedemXPZ4u89wCEJjTtxchr3Djof1qTYyf9Dz44xHqiv7GkqRNO8ZOabQSU1EZp37k000sa5iSQg747JoU7CxMo2t3vqwwPYNPQzSRxlE9cLMm5LcukCH6mcv8PwqXPH951jcxjnxnvI4uR+guky9jvBOKZzYF5D7iUUoqZOCFNl+GiOl9tmAAQTqhx2Us1A2tCrCEqjTXLi8QdoJuWyHa6Lj4ccr+87rHOopMEk8vB68OH04sFAnrchpMOC2Ody2plDUXIecp1MASjGuspgbrzI7r3JIcK+VnKsdZnwl9/vIxKm19MYShpT4wiaml/m34krLYQIfiYSc9+12L7Ddj39eoPbbnFNQ+h7xCiUMZR1ncwcfxiXi6ZK/HQeV1o0FYWr0PT0OtBrRdEbUIIvPA7BBYX3CukEE0AHopa9F1wAe2SxQdF3Bi0O7TzKO1rVJ2uuGihRqMGhQcCjEu9IkAKPoJNAEg0OTKr9bLqR+Z+mpl9ZyCmIQEQeZeOstRvM5LmcxpTfaPpc9hgnRAL1vE115PN7RYVIjQ/RGxQS5/UawfkqzhulAl2jpGYuHhUM2IJj17HpHV1QNLrC0EWIpRJEHNr3HIeOVgtWFN5ZtPcUSnBVQakUwQvWKqwElFjORVji6YMn+JpGa6QEV0IoBRGNkTI6tRELlcU3AWuBrYKqh6NAOD8iVB7ve4obQW+E4OIBXQRec31N7ZQzF4yfXM8kyvuk2FlbaSrcZqE0j6kpsff0+9Tl/OgNahe4ym24b4459a6Ww5Rv6qGxdXjv82P4dzl8Svvs7JoOhKm56fdJf2+//3cafkh63/fZvX34vTQelAAP3M/mufne1LQ212/N7njMQNe4fg4HPTiEnpAAD0ODDwU+RA6hgGBDfIdCYeIuFxUcxjvKi4qGLb51aO9RqscfNXhTRK+yvqScd6Adfq3obEWwINYTnIDShHnAK6K1WSfU9CgEh8OJ4JSwMYFqLhjv0VtLpxb0HqBHXXeYx1vqImClovcV0q/j9KoEcWmdFU+36CmCj3vFIrDpNN5B4cp4oCnRdK5QUKpoxj0vDLUSSi9opxGtQQQleV4uURK1fyOxZbJEk5JReSEfDgA0EBTR014F9MjO2JhwQopn5BHM83nHOMcrRLIWdD6EcKmVYzrRI2DsA1GCy/xmsY85a1G2Q3yDU46ucTTbHn3V0txsaZcNR1hcURBqg5RQ1EJZfnwcfDIoVVVT4rSUtT1AavrdWjvEyRpOWuto5pV+ZzO3EbQKO89MgbBpOKT9tB9PTU5yHwr78QcTmBCiB5+9eNM0DwkXh8zdpifczmUtI5UEodgp9rUO4gluoCw0s6rktDIUOt+7X478vDFmqMvvE6Zg4jTfUy2vQ4DdflyXTp5VHz0XkUCpqAWV2ih9TvlJdk0zE5CRhZikTJUFggGkGl9+rx6mwNG+4DONryRbJEcS6iEdyZHHx/alLJlc33mHmpiTTlLYhy/ugT8H6nQ//4eALLn3/AjqPhQeasN716ZIwF5J7iX/wN5xhM7UbhR1f/NwL9th52OIM3L+5BxNgczdEIb/I3m5CjKUK0/HKgGQnng/jHjkgGneayGRZK4aiKrOmfcrxLWDsY/Hd42GpUGFwZlDSMLGeAI1AUwAJJoK+pzhof8c6g+7m5fcpjueOQ90tw/NkftePT/lmf214NA8Ms3EQFat0tgNCRQeSzK2QzJhUzKuGdP1IxAG7R5QUZsthORhLbenTOpbxroeCjfSZwtJs84U6KKmMCVaNXj/6QZ8n2pG/VDYX6fabUvbdLggiNL3DkE+llZ+ny4Mpiqp6pr58TGmqlAilNqgtaZQGq3yXBx5H7PJ9Dg1JC3imHiMl/rirhbVZA2ZdNPd7pi1stQ48Bg95uVDgTC0WxjuhekGOqszBki2n+nQxEfzvKbB9S2+63DrDV3X0XcdoenA9oi3HJ0cUR4fURwdUc7m0euf+2He9xb9MXN/zSzc4Osa3V6g+jP0/Et8KXRFyaP3FYjFaU3o5njX4PuGwA10NWo9wzoNzuL9DeuwgrakXM95qk4ocRgc2+qSujzjtHoR08Oi6FgHS6CgkqdEmmyVqKrP01Y4n5hrRiLh6K8vaippRpJzGP3R5t6Q/cxOhU5h1HyAkTybvThTouNMwJuFqQxSnZLJggMdXrYsiTTopQqcVx3r5hwXSsrjDsMR6sixeL7B/7aCVviFes0r94abYFi6F5zJJVXoCbcz+rMlRjn++K3mq9ZzWVh+6244ZcNx8LzqP+O56nhc9XxH7KYKw4V6xsY2tL1DtcLd8QnLxwXzZ68IbxXhrqD9WYFf3hG2K/qfa+rfB+pl4LvZDHvhkKcd9nSFqq6YOfjJX3+GOfmMm2ePCOc1UbCIGk4FFQVHRKLbE6IJZdZqyyBQ5hnJGm75L3vpmjJpNul6BDHHNsnEy6R3T8dANvGbunfJ78rP7JtnTts8pymMxMxZiPox/IcXpn0mh33i8k8RWR8Cxv99CfsA7XQuhZF3agoiZwL1MImbueQaRvNdIc7xPXEeX6X7jyCxJUVvrVviYcMRJo3nwAqhSw4VLJHOXIAtvTU0tkbNLMFuCd2ao/mWQiJ4Iiyom46Lu46f/WfCl1dz3l/OOP5vblCnK9a/ari5KXCtxtnAP/q5xi4dt7/xXKmfxH1y6Ai6g6MW9UeXzK46+q3i21Dy6L2jV4rbqiD8HFztsGXDW/ULTraBz94u+a44ozcdwhXPXrZ8cTLj57amunmO3CiCrGD9HG09Fe+YqYYwb5GnW8J3JQWBs4uOzbaibSr69+fcnJyyuTjmOBzz/NhijWCWFxx/oSgKC6tbcHPoKoLeIuYIVIGEOcPa6Y9AGRAd/8IWQg9SpHboGc2sa6IDkmW6pmAwwa+IWlMOeELUZErOLcI6tXMy0w65n+R9bDFYb2jfxr24pMMNVUbaIHOF9i2+b1l2G+o7T7EKrJc9a71hQ8Pld4JZd5TSc/rzC87PZnBSw6mBzkKbQbaHwyeDUqvVFm00xhhM8rgHDB55YLK5DAE1AXggCjej224ISRvBGE1hCorCJG4pTVEUke+iKKiqarj+IQ2oqYldBjqAB58ZBNMQcM7RdR3WWrTW1LOasogLs0sn4oc0paaaUFPBaxpGgQm0lmQSYOOJpyIisqIIweMyF0aIJmpKR8FWDZPNpwXn3IPC5EPhY0LNJwk9gyabx3YtXdfSWYtMPC1GYCoiTVMz0JEDbBeYUmoEEaaA1EGQTASXyy2jwClZ1WKUSmMeVDrJC/u1uwfGHCp3UgcYhbFUBaMR18FHBnE7jGUczBR34u5e+DSh89OE0u+rmfF97x2MfwDFiqL/ARRqjJIhp/yT3I578MseADYFrtOSHu4v7fmNXoQgGgl+iK8YhWeZAp1pLs8mX5LBIsnpyfCyDEpFGTn1NYmZyhpAwrjN10y17CRqGgaS74aQ3jvdcu2X93Cb3DN13ouWNYXu151Mnh17+FTr81CYAh8jQDG+K/f/KfC0D+iPmrOTdySwSeV0Jn9xDOcaURGASKMxcsEloCnN+aS5RMJIZr4D8g31EgGwQmvqoox7CO8/YGr46eFTDw/2x751EU4ry4r5rKZrG7ZN81Fesf13bjYbNus1zlna7Ya+6yhUQZgpxJh0yKHTXBk1mESInvRihcU28Z7okfdhLep7hwOT73l8TqGMnMtB+2k6Rw/gVDrx9X7I2wBkBwg+4LoOb3uC83jv8M4SmkhGiotMhEVVUlYV6liBCogSTFkixoDRNG2L73tc/8O8763Cb+iLmm19zEoMJ0FRhQ1vijnzqudF0VFYiw1H+PCIbempi46TcoPTnm67xq8i985aFdxpQ/e2Yam23Mqab4uaEys8bh3rUqPOrrh8suKzIBRyTBUeUSSvbA6Fxk28J2btl44IcCjG01VF3PAu2DXJymMggkcB6BKcW36SYDglwt4PhzRnpkDYHbBAseCYpwRc2oS/xZcWTxHnXFmBXaGujpnze4r6jt9R0AWDVQUcV1x5hdIBFi3OnbO1x3xdvMfNTzmuCvrZNU0/ZxvAt++49Zp1UDRtgSkcSju+Ld9TBs+LILxWHccnt9Qnt1z3nrJ1mHWg+apGuzmCx76/pul7/NzRf77gZLnl5N92XM4ecXY84+J8xnf/wlE8brmoO6JZZcDSUQ3e8QIRkFowaqxNvXVpRn6ubLI3n9Rtbst8su4naWQun1zvjtELWmDsF/tAgex9fqzN90nv/30FEn4MPyzsAyo/JPyH0Ify+LeMwF0205tyTgkjF2AeY9lk75Y4T5yye7iwYjyIiPNCwOFQRJud6JlV0SLJg2qpN2i1pWFLMAJasZEZmiMKCgoCyhuKbs72t+/pXy4Jbxy39jPcraFsBNO9RuaC/1mJeq2xRcHmZ47nr7bQ91juuLuaE2479OuWVpcgBlMY3m41fuYIzzuevISunXFln+LfvKMxluvPPPrtmuAEVyp+8/qS4smM/0T/EY/kLRtbsl5W2CfvCJ2h+e6Y/ukFSvXol3fQCfiK8PIJ9fMlhVpT3N1xaSwvg+dGVmxf30DnUecdWA2qgqMnIBYvS6w4RI5QoUh1V8cNvd+CNBEQCE+IgJOHcMoIQE41T6+IIFTmZsxtnrn7soZVnssz+NSPae8AmgJsUPQxvtJg0/pZaPB34NvIH3XXwmqFarZQOJh5Fm8t9bnm/GSBVxUikVpDZiXIPNZDsYZegfs45PTJoFSz3VIUhlAUUJiBxFQlgGFq4hTlriRc7GwUwyhoJUkihEw46hIZusZahykM1jlCiMCV1gat1Q6QkcP02r4Z3qBFsfdMBjoiUOZpmi2r1RoRYb6Yc3x0jDFm2OgfTOMBwdwn7orxpHhSCZK6lhbEJ/FXPMGPZj3io1e5HVOJFA6JMdN8ZPDvDwmHNL2+D3fWNI/OOZz3UVNBxvobAIYJgHivzYbv3Pv+IVAqJOBgMOlj0hdF7oFPU0BjPzykjSXp95huAk5yO+8QSh1KeP/qxERxsiiP/eZ+uN8muxvBD+FFD4NShzeFf5fA1ME0psCKjPkYgMhJ2WSnnCOgMZY7AxoTj3Zkzqhxid4Rbpks36LuxYm/xzQyUpUBkGg6NPUGKhGwSumP2ZAxA+TuOF4Y4k273cST6I6/0fjisYuF79NOgf3u86G+tquBNb5w1CXauwUHJqlx7ovOW2QA9aYPJqzh3iP3eKjCbp7ymM9t7CWMiR0Er2OLj70plmbQjg279SUS0CoCU3Ifwf4HC0IEOp13eB/J3mezGdvtls32Pgn3dDzsB6UUd7d3vHv3jm+/e4k4Fw9DnI2A21B3GSiazBshmsDl3iuJmW/4Pcwx+1D0/T6We/9goCr7zyRAKu8XUnmCj9yUhJgPfLqXtZlSHn3f47oufg+O4B345GHQKDAKEY2IGpymBBWV1n0I+LZnu17juh5nfxgopZYtodDYqiQ0Bm97bOhpvaV0lqAsNmisB2sVbral0B1GQlKkDzh6lKtTtSjCNuALT28crV8SbIHuDBuxqG1HudxSi1BpT2kKlG/T/tUneCIfo5R5FDBugPe9QO1vF3NLqUgM75fcbXsIUCmhmJ1idEFx0EvWXhvfSzO/O+cjQHJsnTV8ovapxjAnbroDUCEq8qGoIIMJOVQo8aB6lqqIppASmNHRqwhpHbc9XWFwHjZKMXdQ97DUUcvdI9SbFtfP6IPG1R6doNFVEI5RlEpgsUZUg1hLsIrQp/xLh1CincYuK1wQ+toyM57CARtFW5TotmC+0XQe+iC4wcVwXteyCV7Wfsg8Mf2kznK5D/HSTOs5X5+aS+W/sPc3TddO0pED6X1q+GEmsT+GH8Nu+OF70n+3w0Nj+KG4+2NxXzbMJthZEzXPt1lTNT+T+P4kLZDDmh3NeEV5JGnpelEEUVgq1HQeEgVKo7Ya2SjU1mJmGrGCrAJCh1pAUTuaTtEYRT9zmDJqC3nXofsFPijQmr6foZRgjKdbFIQFqDograBbqDz02x5V96gF6OBRXiO+5M6tWNkexRlPn52ybW9pb8CVDT5UBH8EOh7VzLaBFsEH6HpFUA505O9799013zx5w1fvn3HUKkoPxq7YtjMcmmoeIpm4ZA3WHNYMjpMkOrAY59XJPC7JvG9yTHdv7g0TkGkwD5y+SxjN7X1KPx1cOB/3uyaZ/oWWYDV4QUK637WEfgO9hpWFjUVpQYoCCkHPWsysJMxLrI7PBOfYiEN1Dukdtm+QbUA2gfMP9Fj4HqDU5vo2ajUVmqoqBwBpCipobRAdr6t8dJlcC8aT1FyvE82SEHDO45KXPVHCVppk4qcpyxKjFMaY+N3oQYPKpNPcqaA9JQ83Ot6beg7aNXuKWWway+3NFV9/8x19b6mrkp+8eMH5+TnPnj0bm/YhIESSBlTuAMkTVAZJSFWReS2Uippm3kdgyjkIKoFRTiLvgI8nthE9PWSYdD9MNdH+ocOOSSVC75PJDBLnsjAacGUw88OA1H1tt31A8hB4NtXcS2+fYDZ5k7obBBk9bkWpakx/6C+71x/UAsj5Gf6LD0/7QTSBmeqJZJArcqoNlycmLPsmPGMzj/1OmORXpsLoaEazU+7vCT7+oSDUISAsjo3d8TS6/k55PiTEiuw8O03/Xhkkg0mZv06G5LOJXuyikup9arTFTrupRIae7ybKoxRz6hNMhu/T3AQ9uTMBY8JECB8gydR2kbB7VzQMIURTU5lE3n36QPiUtp1+n9Zl2PlfZMLPM8nX9EfWDM2HDtObovP1vFCOfS/4CS+QjN3fD1pgsY0GDTtJUJ2M8y2A+GiO60UG2UqJAu/j+q0yjxKj5hYReArJo99+/WkFZaFTX5rW9Q8bN99XW0qJYPseZ6N324vzc5x1XN/cksf5h7Qq872iKPj6q69ZL5eUSvOv/uf/Ux6dn9Kt1wlg0DjvUr+I63kGA72zONcjAoWpkua0GsalIOi02I/r41hl+3Ow3Ps/5EkypRGFZB/8oKXm+p5olqcoyxJrO1zf03f9eHhlLXa7xbbtuN8W0GVFUdWYogQRvPNRu9hZrLXY3rK+u8a2LbbtWC2Xn9RGHwvnf3OGn2/xR2+R8zNsAVeFwy/vWDaaTVEwVwVBOny4QeorOmfwTU1lS4L29MeO4+s5hdMcIdz08bCuLEq2N+/oOeJ18YjL4pqjleLxu4q/Nh1m8Z7Z6ZeU7S+p54r5haVKbr6hJQzaNpmgWiFSEhIvhYyzZWolM/kO1l2zWv+/+fJ30PaOuu548sf/CcfzCx5xNKmF6VieglX781cmzJ4xmhhkE8IAnE3WgBLYJCz5p2gKVIiMWCJCMKfYs5quqOmkpCm2nDqYW6F+a7krFV4V/PL9llcvttzNLIGSk3eX1CGwLEvKskN7z9M3wrsw566oUb94hVwZwl1F1z3lkgBFD8+/YXup6d9Hk48A9AuQX75CvTeoqxLeP8ZeaDjp+JPbK656w9tZxcUfC7q7oupaZt88J3xWs/miJoRbimAxdGmynjMSlA+LAaMwKexyx2RTnv15IQ8MGAWXDEBlQSrHyZoYhtFEcBr250XZuyYHnvkRlPoxwG4f/jF8OEzn0KnJczn5LozOIjpGs9yOUSvqdBI/m/9lrdgqxV8DLdFsL99XwHtG3ikDlAiaWQI+QoAVJxhuKeQK4Tm+0PQLy1HxgtniGHOx5afnN6yvN9y93NDOZhjlmXctr4uKXgV669mcXeEazXZTQzPHnXq6Lwr4txfobkvgCvWLmmACOLguCyrXcdF9y7KvmUvJYzouPRTec9H3/NXRJZv6J1j7iH/6r37F/K863v2f/jVdpxKeozHyhqPQ8cIL36qSreq5qd7RXDd4t0Cvf8m/+T/+91z+1Vcszgr+yz/6z3k+L+D619w1c6oZfC7vCbMSUZpSNGFw+PCGwB1QIOaC0enDdN/tIWSQqpnUffaa2qa6z2vic6JWXCB6003ariHzS3VEzbaOaB6ooGvBBsLx5wQcIbT0dw5TK3RhkM0G7rawaghrjdAjBvRPj1HmFMWM8ItLgqkIZcnqmcN/t8G9XnNp31GuDOWd4fp3N+ggGFG8+F99uHd/OtF536K9RnsdCUITobPIaKbXkSRuiSZYolQk+EoEmz4EemfjKSSSAKs0vFT02FcWRSKoTaexWkeQS+skWCq0VsnET1OUxWj2ZwpOTo7jvcJEclKl0MagJ977djQqiEKrFkVdVdRVzenJMWenpywW89F8ZdCOYRRWJwtuCHrQAFM6bqR3CM6TICZE70Ijqe5ukEFIHTeAWo+eCR8KU4DH/QEkvH8XWi9TydYoSV7OxpN2ReRniSAQg4ZQ9nqnMoA45ZgaPD7tg4oxDLUkyRNBqtawc/cj2Q4hanDIVNYfjSaHNtkHJe/VmeQuvSu034smk3bezedArD0pZAiTHzHDk+dHrq0htYyvfaBJJ3jbTpkyKDbVirj/8Phl971ToeVDFfBgribfPvRMzuPHkhnBokNRB7AngDzQY0J6jxc11Hkm4paQzb6mi8nIUTTBnsbEJqBLHhc7tTZ0rcn1MLLnqGy/J5M+PnTakICaA1XxwFAY9K/22052Y7EH1Nyr+ynoIKMwchAsnL47JJE3TOs/Vk5QEteAiflhXkdkRJPIpnlBhKg5E+mavUBQyfGC8wSJ5lmjwwyPy29MIJgk+St4z6AVl26IVujJfBWmD/7AcAi0PRhPKby1dF3H3WrF8dkZTZe1REaw8ME6nwBWohU3yyX/1X/9X7M4OeLP/viP+Gd/+id0bUuwPd1mhdUGrQ1VVaNNRFZDsElDGpzrCSG2kdZmBHudQvR0Hs8aoWqssxB2ul0+PPLe0m7WdF1L22xxvSX4gCkMRVlitB6I5r133C3vEkAFpp4N/E9KBFNERgylE8m3hKierkw8+dxu6NvIKbVdbbB9j7U9zkVPhCLC0elJ7HefuJ48FJoXczAtmI7qHTBfE45WiCkwtsA0M+78hrJbMm896mVJs7DcnTSctTOsODrV47fQh5omVKzmDWYj1FceVVYUfaBub3iuNrTG8rp0PGoX6GVB/53h5vg7VK0pbgyvNopSArV29OdnlKriSGY8On5OWWiU9jgMQoHeEXimUHncQhptOF6csHnyCiuK87MnnFfHzNn3tvPRSTuFbDq272kqgyM3xA24ZjRNiyZmFSsCASfHaDYIS3TVIcrH19Sw9mCVYfGTp8j1Erv2vAnP2F69x5uGtjnjpd+gdE977ik2EBrDd+EM+2iLzG/gzU/Rmyu0bWgetZw1UPueN43njGOO6jm/P32LW3ukCTz/LVR9jbIz3vpXtOYYO1vwZaho/S1hvebZb79i82TGr58ccXF8gquF3myIAuQS2EB4SuQbsYwA1LTOcj/NoNKUr2k/5DieXQ9dOeSJfapJ1cZK3Ekzp5O5qqZE6IfMiqcr5I9gxI/hx/Dp4VPHSzbrytx8EMd2NusCBkLrPI9aItdU9ggnRMDkhGgynd9/QZxzG0bHFD0wxyMEUehkFuyYoakxs4LZI8PxZsHJbc/JXc+rZ4amLulrT9F1uNtj7jY/5fP+Java8XYurAtwZUln5lQsMZuO4jctx8+O6UrHre44lSNCr2ibYx61mrJaU/7kPbdlz7JRuKuKvozWDisRxELbtvxm+47qSFOdzOjqGvdqjiCU1S32/Rlrr3jXw+bE0KkW794ip8LMC08k8L55wusvHf/X//3/Hf2/mfPP/vHP+V/86o+49mt8b7l7t6A0DlODeTzDSsB5j20sdXWM1gWRKyrzNZaM3k0ltZVN1zJwuGUkMneTNqmY8g5aLK532Le/p9hYTOhRz24RfQ5qBvUaSsGLZ/XVf0+YNUjtWByf4jcN/VoozmeImsNC0xmP6Wp0X1GuKkQLwbT4smOzvGX7uuVmpVHdEtWv0F6wUmFPBPV5oAyaSqZry+HwyaCU67sISAUTT64lil+ZtDua5qWD6bTBzLw9ISg8UfvHeosLkb/fqxFgEKUojKEsK3SU/JK2UOSzkESMHje5Cq0jWGOKeFKotaYsSqztmc1mzGazZPanKVxBSPwY2kStLYjAkRBNFaqi4Gg+R0RxdHzMYjGnKksgDDxFSiR5X9oVuoVEWhwSBWtSbxxN6TI3jESifeImPSS+KSVqcC+PZCF5kDqT1tmnthQfFAQfij/9/EEhCRsZYMqKnkqiplQWToBk9JE/JZ/PkoXZDDTJBA0cAKr9MmSBEkYwJ/031MR9vGfnxijXT8CR/F4ZnxoBqiyFj+lNzQ13zch20zxc159Q/0M5J9pC+f25APesN/f6gqSalD3NoEmEQ/k+lM3dYsiHI00a4lD597WfHgr3TbEm4Ep+s3yk/++AaQ/fSy/c/dyLOOk9D4QwtlsYzfummm377x4wnj2tlzyWwv4zk/55rxj5/j5aFTIotlsB+yBeBmsOg52Z7D3fkxH4yANwr/1j+vktu7W3A8mnQb2fdSWkhWY3Q5kfauq9LeRocp83Ko+XHWA1X55Wcpp/4uGHGsATyKTs3y8ccljwPROg6zqurq95/uwZJycnnBwdsW3bpFX04TSH9hGht5b3l1d8+91LHp+fUc/+Amctzva4PvIsKqUheExhkoa0Qpk4U1vbxzXMK1QA7xzZmYcuTASD/Nh5IpboGRsGQJLWdcxb3zWsl0va7Za2aQatqHq+QBYLpCrx1sZ+EQK2a9HaoEzUZAvOJfO+AEnjOOKVyfNeEJzr4yFZ09C3LX3X0zctzlm8s4gwcGjqwsT9zQ8EpXwVEG9RbYvaRhLSQIeegfIVygV81RIaR1h6QuPxvsCakr61OG9xwbJRW2wQGq/ZdA3aQ+88i0VB6DtsA6oV+lpojkL0MGghWM2q77CVI8ws9UZTB8tCt/RtS1FUNKZGcMzrmnld0waNUQUzUwHTw7HACDjEPYyYOYujGqcKjo8eU1NPTPf4QL88dD1r7EwXs9y3sxCU70Wy7OwhSGPx4rEEVLCgLGER8CqawokSfBB8UKichgJ/FPCuIrRCueNMA3wZEPHQQEEfCXwVSBUIhUPplkoUc1zcVFfgjeD9jECLCj2zdZw7vAqoo5ayqChCxbqrEbelCA19B7YvCG7OZl4SZkJVeRBNGIjFczvsL/S5fv7AvcUAFGUBdj+96eGL2rt3aGyMbIm77/gx/Bh+DH9/YWfjMvmePx8yp55qRua5t5z8VYze3aL2ZaBm1OiJzwaiprrGQzC4YKIygghaK8Kxp59b1pueTbC0QdEzQ7whmApVaILyiAT0FvpCUNow1xXCBqQDsciiAdWDhVriOVXfqEgzqQ1dPUc7i3Ww9SoeNgZFG0qC2rJq7vjNt7/hn33+jIvzmp+9OOerl57e9ZiygW2BdnGf5MSD9lTao31J5QWlthShwq0sl79+yeXLS5afP6NeHFF3W2ywuODoVz2uddi5o1cbAiG1gIlYgVvGckgBweOlhSBI1yNmFUnH/THW94RgMXKDJfImltIhNple1gX0Hd519M0129DSdy3uzRqz6dBY5vMtuizQhYbQ48uA145gb5JihkIVlkDk4bRrg9IBKQWnLNpr8Bp32+OLnlB4tOqw64ZuvcVfGlANYnpqPcdVBc6UKDejQlF9ghOLTzffW6+ie7+yxIQI1njvogzso/aPDwEX/GBu4UP0yGbJm9EYrA/03tM4uzNcMsm5kuStT43gkd3zIOXDLgG5MdHU79nTp5ydnfLsyRPm85qyMJRFSVnWKB1demtjYhreQcrD6ckppalACeVizsnpGVor+r5lu9kSQkAXhuPjBUrpQXtlV3Mne4kazVJc2qQTEp+WRK2svHk3omLnJbp4dt4hhER+H5+jUEkSm54uMZQ/vytrchxScjloYjY9Nf8BgNSgpZXTJYKJSqKmlJZE3K4mZnsqAVYhg1dq+J5E70EAj8L79LR0FOZVNtlhf9s1ir77QjeM7ZU/wr4WeQLWxpi7wMBeCumNMrlwGHia1tOn1vm9eMNrHgB3Psl5zXThmgrJ7HYxtQ8WTVLYwQRk0PIaNbsyuJjjf/hkdF+77GD9JCAhD4U4K/jxoQyETEAPCSlvD+2HhcF8b1pASWmOuc7mYsncTx4WAaYFkp2/qbAz7aMy0E5N9SgjMJs0gVKR9t+ZQZfdVNn5nZskOz0MQBgOBSJoMJi/TXOYza84bAKaqmjQkJnWk0x+7VfL4K9wZ0qb8HGlTIpK5c55C1Pg6v7I3jFzTd73IB4o+DB6a8t/asRLxq3YMJ8ljap0GFGVBTNTUihDGMyL/u7Cp3jpc86hRFgtl/zbv/xL/ugXP+Ns8Rmh2fCv/+1fs20ajDHDQdFD6XjvkwZuDN989TWPj48pdeQ86gTa7Zau3eJ9YKMEUxQUVcXRySnzqoIQaNs1YgxeKbqui+Z/1oIxVPMZymiC8/Rth+0tXd9i+6RdhUYnr7fVfIbzDtt33F1fs71d0m8bcCGaCirh9MlTxDnCfEbftoP2sxahnkVzvHa9wnXRlM92fXSgYjTOB/qui1rEae33zhGcjyCc85QGpChQUiJGUVQVpiiGNfwHm8a7O/TVLebqBjcXwp0i3Grk8R1h47ErYfZiQ7graa5qmL3Fr59Tumf07hJZC2atuP3lEpRHgmLVXOK9oF2N7j0b5bgUT3X5T6irgoV1rC+/hKLDz0uu381ZzjbcXix55hcc+zta+5LwpSNU8O684dUtnJ884fNHf8odPYsKXpxoFBeM5iKZCLsA+jQJXPCnZxXCnAU/25lH/rAgROHHTf6ygJTN+rJXokWKf0tk31L02GiEVgjtC02jS7ouejQqm4KqUag3L2Obzw2nv3zJ5tVTwt0pP62/oup6gg98fV3Sf2bxteXz2y3hMhCWUP7jb3krcNcL1e9uqLs5M2U4roVlteF9cPBvvqDQV1T6Fg3c6p67uiP8keZiveLobsvfvv4FC7NgXhb8zcVjPtsc89k3x7z8L4SfP9b85FSjJJOUz0HuGD3f5T4ZiATFVaqbDC59zDxuSjqeNZyKSbq5vXMcw6gNNb0+BamyhkbW4NwPh4TmH8OP4cfwaWF/h3co7PMBTkM28c3akRkGsOlvk94xY3RuAVGDKmv1vCNqS9YEtsAGCRtCACeCFcWMOb3XtF5RGEvoA75R3P5HV3xzesW//ptb6JeE5gS6p3RScXS+5Pxnr/hm7VCXnvnfeJZfVJxLxefumLftG9YXluUvNev+LepWUb4uqX65pLMOf9NwqcGpBX3zBZ99d4n3LbdV5GnyfkbXPyOc/i3f3n7Jt/+XL/mP/3f/W/7ij8/5o//lP+b/8H/+N7y5XlMWLfNtwwy4UIob7zEaXhxpzMsj2l54U7zkzD+n9BZpW8w3G+RFgyCcoHFFj31yw/pvHP1G0W8DXXVFPVd88eIYkSIiaau3sIhe+WgcznwDdol57eCxgaqGrWKzXeHsmjP1ihupsWie6x6WLgqwPz+Huwp357j85iuumjs2XUtxW9D6FRQ9P63OOD2FWbWB7pj+6R3+aMvRI1DzGVRx7tdVj9iOm7/yzD8TqvOAfbfFqILgFavX72jmHlvBk0uNGI/RmhMHYmaoqub0/BS3KOmrgqAvUDQo7nOf7odPBqW2raXrPeumpyxaCqMo8qlxIpR0tqf3nj54ovekuOHvvY1KgvHgMmpNESLQlIQZrRQkswyjEwiRpGvnPX0+gVUkb25RKPGJ4LTtJHrJ8YG7uxWruzVnp0dUVcmsrKhnFYUpKMuCclanE+/4TqUiGDY/ng8nwa5rCOlEuKpLQgLbrHMgQmGKQeCJQJCkTj+CZ5EHKQNUo/fB0Nso/PgoHIg2GOWxIniJRLYhCKJcRHc/MP+M5oHCTCtqozkpNW83LavO3sMlp1pUH+IU+hAnyX6cHRfwJLw9RO9XImEgxfei4hmfJM0orSEBVGTtIRG0mnhymmgVKdkVb3fgQJlkYOrSPYNa0wyOj2XkIWo8TKTTbLqhJhHvw1Pjs0PSfooayL33SQIQZD8lmQjqkEyR7hV2B0gcbuV3ffQU8lNBsAnCMAGb9p+/DwJOrqd2iL9zf7sXa/J4GLwufjiruYclECdMUY3EwwbEo+8w8OBkLcQHBcuhDnffNO1WPoR7W/wwbfu9konkviFDXYQp6pfAnn1oZb+HRb65sNvEYQRbh/oeS86AXk2xuKG+8rXdzU2Y9qsM+KU01M4z+3nMINHk4GCPoyuE8dmxR5C8CY5oWzbly/USvZVK0jLNJ/cJGFSjh75cNdPxEZKTBTJoJiOANtZVNhUPk4OOANbF9yXSb9U0lD5QlCVidBJ7d9vu0Lz6fcKh+fRQyHe997z85vfUZZmAu8yN9vH0QghYZxER6rriv/wv/iV/8ed/hg+Bpm1ptlua9SZxOCUtoe0WY0w0hXSWoogecuvFAmMMhIAtC1xv8d7T9T3tZsv27o52u6VvO9rthmbbYHuLdY7Z0RHVbEY9n9Esl9iuQxtNYQz1Yh7N91O7KfG41ZLtdhOBtbSG2+AJto8A0nabQCmLDwEdClQoMEVBuZijdTY79AMwhw9Dp4gHSB5vk6MO79CiUUV0tvJDgvvNa6Rs4KigP/kczRLjryj6Bq8EPwfzTUsoN4TzgC8NKqxR/bdY+567WnFzXPBk9RglJV485/ULvCzx6gbeaow54nh+wfbxirXuaUxDWfW0uuBKe8LxNYW544V/y0lfg6+58z+nkWO830JzR/F+webO4q5esql6jrVCiorl/I5iXnJ+MWduToCWPqw4khZNAXLKjBlCOZkf8vyciVw/rr4fw1SoynxIcB9EEaJpW59+PwI8Ck9NR9xxGMQGyqKn1NC/f87F2R2z055v7RHHbUtNyzdLePYs8PQnJf/86hH/zbXidxsPXPH4LSzQzDjn7bliXcPz33b4UOAFuvNLfHuE6iqOv4au7nGlRX3xNage7yybrwM9BpxGvikwvaXoPFXxFs57uiNP93KOCiXzasazr++ontyyfbKCR0Wa2LOZ4gQQHATL7GVr3+TxU0KeI3I957U4TD6n/FL3VkKm8/uY1qG5UPY+fww/hh/Dp4dPHTfTMTx9LgP8GYCeeuzLpNkZ/FdEs+EVI5/RgkGTNbQIK6ABaelEo4Kj8p6tzLD2EtfcwdERs3DJha04/pvPufhyxk9+XxFChbcVVhT9+RvcouHSteh3hlDM2f5ZxeOXc1yn+NvQIkWJbzTll8LztqPzcA28/qrAiaM3W14sZpRui1z+nrfugtYX9NslVWWpWfM4fMVb3dFrECWs3n3Le/Wcq1f/mNXqS+xmw0K1lB7KJAOq+XM6Be8vbxB6vIl1uSqumHvHZ1bxL/7jOf/0ny+gKQlvK9rW8VYaOqcJ2qO3b+g2Fe1G85Xa8PTRmrrScFSg9GNEjqGu0eoZFCfwk1vo13SrJe/v7mB9jd+sef1mTXttcc7x9omlqucYPUP9rqENDdb2mDuFKhwnlWbx8zO6osDqnm23wL7ZUkjP/KjFfhNAAjN7A+cd1DVczaHrULbhqAi4657N2jH/okY3CulKjn75U+YmEBSUpx5TO+ZlIGwfw7ZH+hbz6IrGOkIb8H1LOS+pFqcf7bWfvMuy1uEkun4OPuCdIhiFUTrx/shw2p7BliwQee/wIWpI+ZAFkbwBjEJJ5ANKmwyJ3Dwmads4otmbCz6ywktAk7gplI+0bQG88zTbFnxaNoOnrkpsVdG1JUVhqMuSqmvRiSQ981Epier6QoB0Yqu8QkuB9w7nPNZZrIsb2aoocT4KPTrxVk2FgHwa7RNxrnUugi1E5WtIoJVErpLgE3CjBO0VHhs340rtLPcPhXxfCcwKjc4IwB6Y8RD4tH/9h54KZ04wn70j5bJmQEqiGWbWiNnhHlGyc20AjiYC/Y5Rz4E5eufSVEjM9bF3eyBPTnEyKDXyR6VrWdjfedcogA9VHu7Hm+Zroi91IK2DpRhSz4L+dL84hQAeCjtaUDvfZeQymsYd+umhvHwkDNHHXO1BIPcyEvtC2Ll7P+ygMuyb6Y1NPTEEm6gOfl/T1ofefr829tOUvY/D4M8EVjpYw7HOwkCIvmum+HCb7ANVObGdPrCDdu+mlttq2ktHn3thBL4mT+zqgIUHUiSNpR1IbczFOIDIIy43s8+ZPzC2pk4lstZWjB4X3fyoMFrmhTBAwGMZByL3CEiJ94h3KO9Q2RxXPjwff4ho/KHwqZxS4yFEBEnXyxW+qqLXvFyavUcf6vPex9OteV3zk2fPeHxxzmq5ZL1a0zYN7WaTwLqQNJvAGoPRGqMEV1WURUEIniCglUa0QfmAdw7bdXTbLdvlima9pm/bwSSv7yOpOMHjbE9wlr5pwPnI7VhXmMIQfEDL2P8kbgSGse2JXvhcqxDn4smji+2mhMEjo1KKoojuoyPvYjxkKoyJcUL27OeT1z5L3/fYPp4zKJXN9n9A6Ja4siBUC2wB0jtC3xNMZKwiuMSHFQi9g7omBEsId7BZQ6EJVNAobAFd7Vi4edqfbKFp0ZVQ+Yqgb/C00HVQCuCQfo0yQqUsR7andgXOQ+8LushnTrmFrlBsu57l5gq70GhdcKMVq+2SsilR4rGVR6MhQH/UEfQC408woqOXaxrykU5IZiEhAN7Sq5AOFGK1ZNYTKIgHkXro4+DB9XgcG2WZIRg0UWMoAyQlI3lv1OIXHBoHUoAvUUuoekcVPH1XE8ISqzyNUiwkguYbG/Cho1ANj86gWCvcVuHLCnzsV51StFLSosB1SKtRQUXKFRwSeuoOjDOoTkMV+6zynlYJLvXlugXpwPaeWbnF4/EiHItDii2bmULuXuBXnr5pCcHtzadZqylP6Jlw+KHdYr4+ndX3w/7e44ftAQ8DYz9wDP0Yfgz/QYePjZ/pDvWQ/DAFnvbvZ3NsO/m97/ktz9aBSJydybbLlHp0jqKCR+gROkQakLhulEqh7DFl07DYrPF6Re8dEjYUNGy6ntWdUKwK1HGFLueIBieWTe84LqIWqPMe8TaePVee7lZH7eYjhwoFyjpMsyaEYwShdAVaDEp6lNow6z0aoTeKzfuesrKstcEnWcgqiR7mlLCeCb4WcII0BW0ZKYjoNA5LWWlmzx/x5CcnnJ0WLK9v6a5btl3HUm/oXdSIqjd39GaOOMNqGVhUPfiSqijx1sQ6MgpFlagHNvRLR7vdslluUesb3HrL8n2Hv9nirWWlAvWpoygsalPS0yIqMD8+wxQKXQbMQgi6RGFQvkb1Frwj9Ft8qwk+EsqbwqKthTtLEE9QoEzyOtyCNgVSlYguKEpNtF5SUAqqtlAGKGtQBhqBhUa3CuM1vnQoUyDq75BTqu9dAg3iIuus0Cuh0IbCaEpjormWCDqA8yNgoJRC+YAmuhyOwkAWONJGegB4BBMMtTYczUqqosA7T9tblm2HSxv+sigotaI0Ckugc55t5/Ee+rbnzi0pvKcvC/qyRCUOqqosqMo6npzOKmbzGWVZEmyP7drB658py8hz0XZst1u63tK0HZ21EMBoTQgepRT1bMZ8PqcoCspk1tD3PXd3d2w3W7quY9tsOT45Zj6fc3p8TFUVmASIheDTPsykoR/Q1mL6Bi36npCxH0Qim0JrI+vFmRqFKx8eBp4+JjgdAqo+6klKsqergLU9XdfmbpAEQtkhnN8Fo3avqwRgQRJIp8AQRM0ANUFmpod6Hwmy9yWaKIXhO0QUPWvePFTufXApa8ZI/n8fwNoDuYa6G55KedhXj5vuNafryaSsH93uhd3v0zrYOedMYOGh8P21QCZl+lCcj3FA3YsPDMDH/ZQjKDE5rw9hUr4/EJiSKeg4eQ8guzW4A/gNfzkvOw15/+tOGQAf0kw5IC3pkTzH7oMQ9wCxMUGJ9pixVfY0HPffrYeHQhpeY1/fh5sYtMISeHBA0y/sXcggkiDxPGLQektgkQCio7YOWTNpH5iLz3vC2Dbp13QqyNxwOglKEQbwMWbSuop14vG4eFCQUtSJt1CCwyUNqmFsT8efyCcBUvv971P503a0wABrLV27QQVL31uCj4L5p4qTwQdMqXl8fs5iNsf3lt/++jc453AJVOq7LsbTOoI6xhD6Hts0FGVJVc9onaWa1dT1DNt12LajW63ZriIv1Pr2ju1yldKy2L4lJNDItVv64DAiHB+fMF/MOTo9QZVxXVy/vySkNXe2mKPS4U/wHu9c1DQOIH1P8D4eNJUlwUSYQ8rINaUKE7mwJGpCaxUBFZ0OvoDBsx/iQRSFUjhjIjFp4tj6QeHxCld9Tl+/AH6Lu2xQb3vaf1Kj72qK6wJ+puAthK8U4Y9m9Is1/eyGxV/1XNieM9WzXXTcPg5cnSt+ta3Qq3NkeQ7mf8DohkKvuVi+RvUe6TXh80fMtg3n79+wffIn4OeY9ohCPaZ0jll/yebJgnIDj1/XvH8Cym3wyzX1o+eEsuSNKahvv6KRgle/V5ij71goxRM/Y/UXjnJ+zImrQWuCCJZbDFUa5Q7HHO96XPOe9zOP04EqCTllEB4FQD0mmqhlUzyPo0W179iEFX89u+VPRHHKMfDnjMTeEE1JchDiXuoY0EhzRP1rxcmV5bRrWeF5vfZI55h1HSsU3lSIglffXtPJNX/xn8HinfDEG37/6Cmvi7cov6L87o7+7gKlDOaXt9SvHfamwl9WFHaJ4QZ9BvPVI9rlKc0SSv+GWm5Yz2IeNfCi7LiznksfeNy23F4WbFcF/6OfCi/P3vI/HPcsNv8zPmtn9L4lkg4fE0G3BpLJTPS4lMnHZ4yrxlQ4zYKoZ9db17S+cggPXB9XhN14+3HkwPUfw4/hx/APE/bH5f447NK1rPU0fS573Ltk1KQKxPn4hFHbVRHnGgtiIWQP9RbDKxQdgqbmFlcoXHmBcA5mS5hD/5MjwrsVhSjsyZK22dKsej67OoNQc+UDjpITV/HYV3z32dewCdRvCx53P2dzLLz5oufrdgvSE0wHtmCuLI+PFFffnSN9Qx2WHPMSI3NK/Zi78piOLZe85ourjl6EV2XJzV8fwwtwv/qa8r9dE2zP5QKqVQk12M97QnjL4q7geXfM149vaR2El3NAM396xuJ//WfMfvpz+r7gd3/z39J1x5GHqn5PqxTSwOKlRz9rMUeacON4symZ1RW/enJB47cEUzK7KGO9th73pXD7bsN2c0uwW243HbYNFK3gF4JVmkYKOtviih55ccxie8xxseDn/+lnsHHYbcOr91/S35QoO+OnP12gtoHQeppujRRCb4Sb5ZzjO828DeDX+EcKf1TRXq8ozYyCGW59ijoyyIkimsnPYn/ZHoMJIA6atxAcGA+1oayPKY+OQHr6TUe7/vge6pNBqbZtkzmawnsz8AP5EM3wehvN2kIIEUUcpIpxixBPGk0SLCLf1BCymVfaVAuAjyfycTNZxLS9x3owRPBLeZhpTV0YjgvSyZ+n846u2YLtoe9jekrY6Ag6lUXB0WKGOj4iFAWhLKhndeTZEEVvosc/U5b0bUvTtFzf3LHebOht1JgqypKyKpkfH2NM9AJYlCXL5ZL1ZsPV1TVd1+Gso+s6ZvMZi/mcZ8+fcnR0xHw248mjs+Hkdnm3ZLXeYJ2jXsz57Hgeydz16MPuIdRFiJpkvYNNG4lhjRbcPdLrMUx5Mh4EXT7RpGRI00dPV9FNuAwk8QPQNAGetGQBOXnZy6qSMgJT6eGDzocz31FIF6ZgQcaoIJcxA1fpewK9dqtShmez6ZXyEFS6c6COJDAIy0iOOwJoh/Zmsg9aMI126NsY9x6h9720yZZT98L+dnMEbDLB/HTYys4552Q477xd7l1nUvc7uTqQ12n9yN69h9I7tOGe5Cd1BpnW76SPhwPfD2Rs/JTMw5Q5lWRYlhUhgvRMNYfCAJyEkDTQZAq2RHB+WsIgyRFCGDWDUrFT26TfOxhWGDihctyHwoNjO6T+NAUoU9Z2u+c4LvZbYvryDOBmpw+SMz2AVbvpTDWrsjYYIoNDi0NzUx6HwftB4xaS8rlES6z9fh0YAbwcZ0hMM2jThCBRYzUogo5AFQakrpGyQhUFwdtkRhh2ydY/Utf7YVq+Q/3wQ5pTkvt0gPUmeozzyM4BRB4ZA9fgA/la1DX/5Oefs1CCb1rstqNpttELXdcNWqu9jZpMWimwFvqOLbBarUEJRVly8fQ5ykdtJdu10YGHd/R9S9832C4SiWutKaqSYj4juAjwBdeDeIIE2qYhbCNA5JylriqMUvjNBh+yxppAbwnOYtuGzFPYKTOASz4EdFmijAFR1IsF1WxGUVZxT6E0MpvB9DBEa0QnKgGlEGtpVtGs0Pb9J7XtQ2G1fkqrOtrqGxbugsqv8P4OvgVpV7jmBntV4+eB8I8C1TcapRVFOUMdd7QLxfa4oG7hUeU47juWRUslFfO2JpwsUFWH4WV0M23jaejsaovyFtEGmku87WHb4hcNUs6Qs6c88YIKFl00nFYVEiqCn+NUAN9Cr3HrFbZwrM62nH4j+MrQPZ+xeH/CzKzx/W84Mgu0gPE97qzGVRpTCgFPu7Fc/W7FKxPovaPqNuijBlNrrk7OmBXvMK7A3GouNzOarsduX7K2jq04rsuWtZozK28IT9d8wTknxRGL83MiP0cDm7/l7VrYiEI9FR7LDNFr5NTQGOhUz0/O3nJV1WzDnOa2pygcJZrTV09YHr1jdbrh39YzvjrreNd0lFfvmfkFpTuibF9z7VdsXcX7b87ZFA3toxtC5XgVAtdK8cXJM4rThsp9R2dg8b7j/EY46gJLI2yU4qvlZxi3paRByhCFn1L4/34359Hbhn886/nT/8jzuJqh1SOiieKU66lm9KqVVyQYhUkzuTauWIfBpOmMsb+m7oNOTOIdej5rbz1kuvdj+DH8GP7+wqHxOh230zkk39sfz5k3Lsdt0t8RhBWwBqoISEECpu6AWzQaYQaiETq0NChawFNWhuOTmv7qb7haLfk6WEwDtT3hQh9hnrXUYctZv8FcXxB8y812yewbGx1TCLz+4o552fOLbgUvLcsK3j8CEy6xSvFGnVHR408Ut589ofhuzcwLs2rFxfaWlSt47Z8g4Q1KRdm0vfo9vT6lKI45XbeojaHonnApd6it4uKbpzSnb3H03Dy9pQ8W5RRF3dHNes6eHvE/efEF9Zs1XbGJXl67G7AB1yr0Ku7Vl89Litee4luLXnSY446trPj//HfvsPyeYjHn2Z89YXsDvrPUXGNthw2W9d2WniUuWNgaEIOqhfqFo14a1DU06yvOfiqcnwvh1RuuV4FtaykMzI4KjDVsv3yDoox7nIs7Zr0w62DZedwrT+sD5VnJ8tKxaR0VFrOY48oZr7+84vRzxdFzg52fossVSq3hrofjGcxLOPkM/B2EJXCEtA7aaygsFGu8W3+0B38yKOW9i6Z7eZMbovYTBLQK2AQkxE56nytFIJqUSTyBDhD14nNQWdiT4ZQ9m8BlsCE/j4BJWllKkplf+vOA9Z7GSVLL91HlH8BFIvGgon2f8SXGRTM57x02eLyO3BFiFEFrlHOIdWhrKYPDScAIdBIoJWAImODwbVTpa9bC+8srlus1V9c3WOfwztP3PcVyRT2rcd5HUGo+w9ou8mJYy/XVDcv1Gu8DR6cnHMlj2ra/pyl1T4RJhCkhRGCqSxpTSsDGWw/AAg+Hj2lVfYhzKoTIw+K9x/kJAftk87+jKaWyZtSu9tSOMLr3vtx1Rhhgd8MUBgCKQQMjysLRRFREEnn8w2DcCHDEtxyApO6fR+yBTAOYtV/5shP9wbCrTRX2AK3d++P72G3wQ0LvAJxNsyNjVsP9Mh3qQCKHr9+/dqD2vk+nPFiG6eUEYITx3sGspHceIr/feXDoGrGSFLkPyuDpMUeJ2qP3WVS87Fdd2FUIm96T8bmomDTp4KlPZxOjeFl2fS/JWKZ7feKhsZr70/71Pc9To+bV3uYl9ZGMkQxVJwGf8jvd9Iz1s/s7ocC7+R3mtAxMDZUxiZ9rdUxtfOcIVMUnffoeyCBhbL8wZFHIJoJpbKSHRWtQUy2tT9dG+lj4FB6qQ1pV2QS6T9xJ1o8HDJ+aL60UR/MZv/rpC+rCgEtaYN6jCBgdvecSojmesxYvQqcVWkVgcHVzg7U2Og/xUKhIzO+sxeh4lNB3LbaPoE4EpaIHXK00zvroKc85XNfRa4Xr2ni65B3i4gGLaI1sN4jrER+1tsW5aLLXNWm/AT5p1kWnIkLoeySBUlpGb7CmKBATB6goFf/CSJ0fXNS28wkY8z5xjP2A4DYaV3r83IEtcKqkm5UQOgjR1MH6REArDqcE6QzSBqgMttJsTwvmd2DoKdqO9dzhTYcqetpaY0xAyQax55F/vCuggWA0oapRvotglQU6ixiLUp6aAlEFUsHMxbUzaKLAIQKqJyhHCD00a8KmJighlC3aO6Tv6Jstre8oEApCslHToApEO0QsIg2FB/EB4xXGx8NFT491d7hOaFbCza1i3XQ027c0naELQqs8l1VLMSsIJgo86+KIR/SRX85tYfUd7++ELYIuFCfVBXQrgvJ0ZaArA7Xu0cwwmOj50HhEPEdtYKM8nQReXVfcdtAES7ntKFRFjaHwHmU6goE2FDjlCdpjQkVPwCFsvcYqh0hDXQvKGKwUCI5CAqUKLL1mhsYYjTtSBB0pLm62hout4qSFGdFjUjy8zQCUI3u+GjUdpqAUk2v7n3mFeSjsbBomz05DmPwdEoCncfav/xh+DD+Gv9/wsfE2FQ72x2j+nU2ohZH83BG1MXtG4NunDXgEreKse8LIcdcT1Qwy/5QH5/D2lk5vWC8cJy7uy6wRUFFjuqJEtKfH0bkW3UUPuMVRzboOWCx606DXHuMgLKBWLU4bNqqgEPAG7FGkAbLK085bqlUDocbP5vRbBqWYJdfI1qJ+7+kbjbgisiIaUEEoraJtwelAWwlqcPwqSGGYzSt++ficmRVUbzE9eGfjuuYMrrNYDV0JsulRKxu5Mx04gdvLDdYtKeqCut6yWRZ4H5ifrmJ9dR636XCqwTuLbWdIUYDXKNMjrSArgcIRNj22bFjd9KyXnrb3nFw00XTRWsLNikANhcJVa7RTSC/otcd2faTb0SXuJuDXnr729Eg097tUcBI5sPBHhCOBWoFyqRsZKObgO/DbqJTXbQldQ7CW4FsIHz/Y+17MnRFwgM7aJNQrrB/5gSCa6g2aPXl/r/c0X5LUq5UkjtGAEj2YdhmV3U071tZNchBBKaM1hYkbY6Mjn5PWkRzVFJEEXQmsth2CUBo9OK8LnojYzmuePzphVhZ4F9hse7Zti9Ka2aymLCM4pbxnrjUn84qfnM6ojIk8T6JxREOR3jluVxvW6y3vLi9Zvn/P7WbLto3qjiEE+t7RNB3L5Zq72yVFUURC1zKqUztnWa5WAGhtmC+OYPsLtG1o+ny6f8jf1GRqkShvNZ3Dh/sgyh8iSB0m1j4gyIYwEEF777DNZnC1bSSqIwQVBvBwx0xPjX0nX5++69D7hnM4AZJGis+kyFOzpASOQbinGRaSy73ddyRtlSkI4lIdqDFGSj09O/zcqeAMXMCBes/S/B8SZPJl+j41Ak07wFKYekMb35sgloP95F5WH8rLR7CdQ7/DvS8fDztk8p9wff/lg6nwLk6yuy7v7+MHcCL1kQGciZ+e6C0ug0pRay7mJgvF+0nH3ztwDPsmiBnQGrf/kwyHMcOjY98RjhrEBXWoZcf4OxV2SLYIH27DnXKFsb/lZ3c0GyXl60NaapO2UEpFDqMMLPiQMaqUDskr3+6MNmgtZtxJwsCIEHQCy4nOF0hzgfJjlQZG8CuCv5HkWyUN3cZanCQzytzgO23yDxdECYUp6azDtR13m+jVZN+E8MG52nsWs5qfPHvKf/Ev/sd462iaBqOgOJqjtKIsS9qmoWta1ne3UXsKaEQoyyKKxgFc73Fdw/W331HVBm0ix6Rt+2SWL4PnO+d95F9UlnazwXY9IQRmIqyurlgHgMhtYIJnBjSlxmnNHNCuRVw8AMr8gwqFTZ5+gw2RF0IpVFkhvUW8x8xqxPf4voG6jvuMssQUBdqYYQ2yLnJdtU2L63pcAtICRE2jHxD0u1uO9CPU/DHl7YrtXLj75QL0ktmdZX4nhDODfmcxrzyrfz5HbsC87JldB9oZ3BrNI/HQbqC7oZw5yiOLKS2Xi6fUAebWIrdXyGaGNAuaWcDOC+x5zezuPcGB0zX11qP9DVq9wi5+RaiOQJ+zePe3SNji6kA/nxGqGikNnBrKu8D89wa1OGdxLDx91HFx3hKcZuXh/bu3VL7keX2BWa3BGSScoecVi4Vh8U/hczTIAvgJcaZoILxmtVmxai2vndB0v6XpO96pU842cLoVXDtj+exLtt6i//an/D/L14gEfuFqmuIWh0OaCrPq0SFQfGV4/sVnlNst3XrN5tRz1yu6qxKhZVFaHv3JGTe2wfVbFpuv0N7T3ZR8+ZtHWAIhWLb+iqMX1+hFB78F9bhBn7Vx83xpKO7mnLc/YR16Gun4tr4EAa1KXpwXvG9PeU1NVX7HRdnx1HT04R0+CJtCKH85x75tkXcuzuoi2OC5XF4x2xac2in3nSMCVCW7Wg95nI+cXPfDp+43HgKkSO/vU5zM5zVdOKfu5n8EpH4MP4Z/t4JlJDbPfFB5Xcu7x5KByJwb4jwzB94SnSk8BenT8w3RE59Pz2WgvCOaeNXAOWBpl2tuX97gZpbwfI2q1vzkdw03fs2X6j3/9I1BF+eU9U+4Lb7FB0cQYVU/5eys5ifPKl5eO7q18O1ywx2NR9EAAQAASURBVHHf0ASPuww8KgNt3bEpNqzUBdo3VJv3FI2nq4TfnwiLtw4/XyO/3HL9157Qxbnqt8/e4VfXXP1Xb/9/7P3Hsyy7luaJ/RaEu4fa4sgrn8rMyqrqaqsBSaPxb+C/yTkHnNOsBzRrWrMH1aXz6XflUVuGcAFgcQC4h8c+4p773susrO6LY3HCt4cLOAAHsD5861u05hHG7llVXzHQEBvD62cvuHrdMUSPaR5zwWs0CTftErO6YLP4Of/6bx9x8UqINy27F/cszjy2MdTW8ToZ9hrQroduh3YDB4kYWWGqivoRpJt7wv09r//na3S1gWVDiyNt32C6jkXnSH1PCKBDQs8Ao5jdQHztsbceOV/x8t9HXskd4u+odoGahPytcGgd9JZPBo9pe1JUrr+/IZw7jHf4Pznun7R0q57md45Vv2SRKl6kRFodaOqOL6pLSB72Fe5ugC/O4WwDTyuQJbDI30MHhx52d7mdaEf/ciBiQc5+sIV+9CxrNLZmWBNCRAodIAucZRZURBHMFN5b0ghAjIBDWXOWo6tKirkBThGuVCGVFVmyqCsKYhLGKOByxJqkWAWXshEj4lBrECt4Y7PLX1RWywbvbI4YaB3WGO53XQGOcpClECNx6Lnf7+lLfpxzPL+84GzVsKpW1NbgbI46ZKsKU1Z97+t79suGi0qojXJ9v+flzY4hREKM9NZys9/TD4Hdbp/1qoRsfJXVWuccdVXhfUVV1bR9Tzzs2fY9IaUf1pYqJTsUdlles/7xq7s/pHfyPt2UUVNKEA77UdB2wLqi5JLIwrLmbUbUyfVGZtUH3E5OUmmTWZ9Lp7xMkblGdx+y8HreP3MxQgpriqO30TxfpgiyhwL8kNu8kdzGT54hjYZ3LofJLe5B3WnZObJC3sIIToC5cf8pcAGcLJCe8GjmFzSn5+Zds0iG86J/cNwHy/9H2uJzdtaP1XR617qrlv7ondHF5veEXAaFzXSs9wcXHHforPjfAc7MD1CFiJmOi2Q2lMqom0dx4SvgFvoBIG1+/AgzjeXF2OxAj5X+kHV0BPzM7OT5oyp6pA8drzOB3kwMIfNWmz0FgU5z/u69c2m0E+xrBKZ0FilzgtfmPFud1cXJg2A1O06mEoVLEJJE1IzjRZpgukkbfarPDOqlGSSYOH0PxymaLWUSyQEpjgSw95fHx6b39qOz3x+6+hkzLsgISWMOAPKOPuJ914Osn/T5J0/55c8+55NPn/P65WtijJyfb6Z+M6VAZcHWFr9ZsjPZzdxaIXUdSmYN22VN1nl0pBBIQ2Lo+ylyn2oihKx3VfsKYiJ2AadCU8ZirykDSDFAHKiJVKKsJTNqrBGc83lVqbQbkqJRUGMn91dUMdaBMZlFRsjV1LUY73BVxbmrCAouRu6299nlPEW6w76s6CU0haO+pLfMoxr+uWkIghnusN0e9/qOatlg+yUsLnDbHrPtCFcdQdfExxua774m1In+Z0L9n6EeznjcnZOuv4e2Q0OgufwZxhh6AnvdEdI5Nv2M9dnvSWcHBmuo/CeYNlD//p5hGelq2G3g6Tcdrq8Yuk8wegWuQ/1T2meLEmRlT6wHzGHAf33H+dpia4f80lDFHqkcd7cLuqGCNhJe7ukjHFLL3fVXHO7OSJVi6zv+ZlOxWjt4tiwdiyELyTWgC5DHLJotlb9jtfiKq+0lt9sAQ0272XJYRda7ioOz7LXD8g3L9gvQht9yy+V9Ta0WU5/BEqJRolf+EAyEgZsNaOfxtzXtwbOsamwv3P/6BYeLQPTKN3cVg4JPnoBQkyUcduePObTX6EG5ZMBdbfD3NUN1TxoEdZHXz74hXC2IWw/dikcSOXOBhgP2yQBPLO0fLJ0VfKV0F4Juz5HDmje/htRHUggsP/sDb/wlB/ev+Cx0oB3OxvJWj1EIR1H3nmwwvmtV4X3pY9rxhyL3jcBYU753ZG2REYyau++NGjSjAPt8lDpdiPkp/ZR+Sv8UqUS0AI7syzGN72Rh6xLIbsPjMWcgkRyNbxRFX5ePlnNiNpQU4HNyHxCAT4hyRWeU8zNleWfQwXP1hdBGwQTLt8GTmgPd+VfwMpGGJTGdsfryFcPQ8odfn0MAjZYUzkmpwyRLM3heHM7RbaDe7llby9B57v64YvnpAR8iz/6k9IPgFJ78Trj6mWWoheQDr/mMpo88My/55uKeoUnsloZH31WwFXY64IcaMUrQK7a3FRIMTbPn//6rX/B//btnPPv0MZ1eE5yw4BFmHQgauL3ZY6qOpcJyWBA3A6lK4AYibdYF3e2pHcimQtYrPAG1W7Yp4q8NZt+w3/TIfY0kS/iZxbDHqrK+FvARc9ZTa40sD+AHBiJnSVipZR080UdwA2aQPP4GMBhSVJRA3VRstGbVebwosYZOIj2CuU2wD/yxfoO+MNgrx6efX2K3A2p33PY9aVuhe4eLB9x9h913pIsBX3uc8xzeBLQRWPxwVNgfAUoVQ0x0CtE8CTOPBpOmzOiDDEiNxtekazGGfS+nmdFCGM0lso5EWRIXk+Vt8/yzGCtqspEQhaRZM8loIsYcFTCqYqzBWVMi3+Vw30NMWGsmJhdAHyJ9jNOzJFVCiOzbjrtDmwEy66iMQWOgssJQBSrnaZqGRgTB4ZyhtgZ1llVdsWkaYkh0bWDXdvQKFJAsmhwqe5z4xxizkeEs3nmscTjrsmtD1KJfpZMOysfY8ilpjvQ3j578A+nHRox6l6GTjcy8PYSeYQjEEHN0Q4RkU9bxmEfXG4GK+b1HWsR7UzErP3DIaMhNoJQIKWVW0xgZMjfC0obn2J3O2RCClOhSpWGTjW0BY2dugKNew5ipcsLYlueXh4lkMbpkPXTrOnV9OhrS0+/wbrhxeq7Rbn4AspQLSPlfp9N0dvmPAKb+zIXQUVD+fSye+bVHRs+Ut3e2/Q+8GAUAf+tObx177JPm8+apVxopOnJ8T06AsHeCN/m6Ov9ZGOH6dz/KrC/MdTxDr05QtGN/CafVMGEls6zJyXHynqJ8aDScnvOOjMzOfHC1OaBa6m/+aNOQIeVVn+CnAjbMWuWY1zl7cTZaPMhxHpvSCGqdYljTs4/KXQ9No/dq7SvHI/X0nI+FpD5W2HyeHjJGR7F+a/L4VrniqvYBt7J3uWGP+87Wa843G5qmwXvH4C2NVqSYckS3oHipSNZkydOohBgxHMFdZw3GZuPde0+fEhoiGiJoqYeUsGVRyo96TSni8Hhb3OrigI0DEiM2DTSiVCgLtEQ+zC0haQloXZi5SSGZ7C6aEGJSNIBKoguJJCPTPk98bYzUh5YQE9I6uu5ADHmcGrpDkQQQnLM5Qq/34MbAD3+ZEW1QRAaQDkkHTKtYBIkeaQUJDj30pAp0ZXFXB0QiNEJy6+xK0EUSB4gDcgB7WCAOUMX5ASMNUTyhsmQx/4FUxbywHS3BJKJEFOVQCU48Lq2p9jdoHYlVDVGLtqOQXA39kFc9WSFiseeGqk9ETXR7JQwBHQKp60EsMQTa/Z5dNES/BO940m2JrUPcOUY6jAtUq9syl1yArHC2wllP7ZTgHFi4JxFTyJGfFzXG1khSQp9YlkXNPYZ19Hj1GF2ATYhVkgl0RJJGeushWEwwpLr06Unp24G4VoK17LolIgNOhYV01AgY2DeJoUswQNtAFIuqYwiA5ihFg0TUGtQqWI+LiUVUJCas63FGGFgwqNCpEEwWgxWnxCFCsIjWsA7QKMkLN7JlzwWRVPqZ+RxjdKl52BM97N0fzjzetZ+P2D///aE+1WiQzve9K8LXu4CpH5O3n9JP6af056eHM5eH79m7ZoYVE9g0BUkY/dds2Rc5vv+QfcNH5pSW4xuS8UQr1GLwAeSQCBUkL0gNu2pBMpEQO3yqyP7jBlnAEAfaw561gqRi0y8aVCI+wB7FR1juwaxapAdztyA8HXAR/DbrXxl1SKxxzsDSkDYec2ew2x5PD1ZJVhjUUcLIEloBWWBMxMQdQ7/ARENVdXz6acNnny2zLE9tiY3Fn9XoUpEY0Q4WjcVEA23NoaoJkh9NopKK15mrPM4Jgoc2EFNAQg/9AgZLUnA4jFhSo0gYsElZtA3JK+ITTT+griPZARMNC+9YYKmCIZmYq9cmxJXNYEgxE1isTwQFHfLC42ACnURCC21QBpfYu4C2gsXx9HxJqO6IYcftzR69tbAzWHfP6uBYDBZdBZAVJI84RbxB3F8RlPKQ3R7GaGQ8HFJGwy6ho9v7idGbhc5jHCfbJksnSPG1G8WAFQJKMoaoJutczHRFsm6UZUhzt758TWdHd6xRzNzmXCls255FU3G+WbFZUI7NoE8qiE9defoQudvt+f71LX2IWOvpDh2rpuabVYMrEfzydRbUdcV6vciBNENkf8gxpBvreLKqSMOQV46TsK5qamPZi9APA1FBbJ74WmtL2Omsb2HEIBhQg8godP7+dBKZSYvOlsCB+MHzfij9GGNKU8p5R+hDoB8yMOWrKhunqtndQszkLvHwseYuduMxc8bUx0S2+qDe1SxqU0yB4j869cXZmNVJP8QIZe6n+Wu8vggJlwE2lyn3IpKFgCc/v6No80Ox5lNg6l0Aw6lhP981D6WNvj2MzM+WB5b5qO9VXs8ZNieT8f92Dt5zg3fMI99XPfNrCzKxKN9CKh7eeLzPKUYHnDJ5lJmA9XTebODV8re+o8DkwbPq9B8Ficqi2g/YKuWPBzflrc7xYZm+m3RxCjSdlMuDNnJ0v3w3SPQ+M+BDSR4U+hEI/FjY5V3XPH7rZFg9OEbGW+js877rzHUKdRozcpTRVO6QI7xOHNFS5UaPZpIZXdxK5LaRsWV42DxOS05EsEgGSP78YvnB9F5h+pLvpqqovaP2lqv7Lf0Holl8SNx/tVqzWi5JKVJ5g9YeKxD7HhLYusJWjhQi++s7FtZP53ddlxdMxGBcjiLrao/2AzDkRaQRyLGWus7i4mgkDgExsFx4HIqJgdTeU1McBRw0RvAimUFV6mQYerqU6JPST26XAtYQxWSli6h0w0AfAoc+Ic4h1uKaGqcVVuD25oYYAmEYONzf5IiKmmgWCzbnZ6zPzlitN5nNbLPrvymBO/6StKoiqbbowuGeNvBmQL59hZwHsGdgz0mHxLBoCecvMS897g0sbwLDo2dE26JXX9F/ErAvFPcG5E3Euh2e7/kiROJiz7C6oZUz/G1k8boj/N1XhM0lYfU5B3mN3x54+nXi9z97Tq0bnu/WhO/3xLMb2stblr8+x3YWNZ7w+ZdYvUfsG14eOnxKbKTJEgY2EvtbkMhQKe1jaDohbgO7w45ObuiHCzr7b/ivt7+mFsX88VOa7hWrM+XTf7Ni4Z9j3RqqNdQdSAf9wLLqkLOOdtFh/reWtoP4M3jCY9Ztw/X3S+LjF6T6noZHxJXSisGo4zzuqLQHCTx2kNwAh0eQvoFKsZ/1hFcB3QksGrQewDv6/hO8f83SbPnX5iu6lNihvHRKiInOwP7SIE0HNqJXLalN0Fnkj5+gixs4u0eWz7C3LfbQMtwtqLvE+aDsFgODGq73FWnYI8sWzl8gjcDLp+jdI3b1l/yLzRU/X/57/n38HC9Lng9fPACXhbcj4SmnrIfE27P08Vjesf9jkyUzoyCbD2uyG49yaqR2ZDbVu/LwvvSX5u2n9FP6KX18Gl35HvYlezKgVJV9BzIjcs0RMthxfLe/5+jS+ylHBuX4HhtgQKwilUVuKuwrpfp2y7KN8AnILx3D6hPS7YC+3NJh8L7H19+yl2dEv0M337IMQA9DC/e//Bvsdk/zx2+RL1uaXnj+WvjDL79CDudcbD/l6vdKZIcw8NgY2tWSP33+KX/7vcUfFrTPHrH+X/8X0u0995qKHJKD+yXXi4B1uU8a6qeIJurtd3RpSUxC28LVv6y5+VcVgmWlCyoH6WLPnd0TzcDFueexPcN1ju4r4bs7h8ZIVSkuXpOagHm+wSaPj7AJHS/uDYfOUCEEgeQE33uqc4NxSjO0JJuwxnDWWuJZgiZR9VsOXQ+Dsmkt62VFU3mkjdjeggpynvUqMVBjMEExSbGLllchcNNF5JCJPiSlvU90ayGsBO+y/rWTiv3vlPtXr7ivt9z+wx57UExU4q/gy9VnXJ49Rx4fsrhXMpz/vYG0gDCOHe9PHw1KrbwpRmzRgSr/RLJBPhrZ44p1mgxCOU70CwNGR2OibGtKpClQiGAKuylJOg7Gc6O6qP6PLBstriqjQPoRIMirfdYIxlr6EIrrg51AqaMysiDGsmgcn1eeOES2+5Z9H7i923O/PfD62kzg16Ku8Dazrura57+dw9dVNpJSZgVtmhpvDLbtcb0BX/HlozNE8mrvtu3pUzagxLoc8tpYxJhifP74ATpBLuOxPGbl9zFpPvn+sW5W4/xoGALdMNAOHfeHPVYh9D11VWXAzUgB3+SB/o1m4VsgRbAuo+WqRzeWh0SqOXg15llgchOc501NNqDQRFI3Mek0JYija19ewc7MhHEV8Git5usLygDJZEbr6BaDyeHkRXInkHM2PWOu0kJhm9XPKSTwHqP0HX+fgA7vqys5uvMJvLMtjBHmHpzGiFxlIG72o3J0ifpAHsuh+fs9QI2OZ4740eiqC8iM1PaudGzeRWOpsKPmmM54zfe15Qxcl54rjZHwMph7wuZDjhEf4wwc4WH5yOn3A/Ds/cbtu/Yfga53wU/TY77v2d6xe+4w9+5bz1rVSZ0f36/5aVNgCuAI/bz3ScrVZ9cQJveoCZrT47GIFu0uLSBrBpFO3Dclt+E5XBcZnQEz6Gp07J5yCaiYLOwo4zjC6BU2a1iKWINzQmMVL2BFT/I/HToBbP+4qalramexU54/fNM5a9QYM2V4HB/T0BOHIU+WnMW6ZR43rSWmRHKJ5lnut2OM7LY77HZL33W0MeK9z8AU0Kce1UDV5AgvWfNJcDbnl6Ak6xERFhZMTBiJOG9ZCtSSQSlT3PTikBhSFnIfYqSLiUGVAUPUPB8hJqJmlnQXAskY1BqWZ0v8aolbLPB1xSg26V1F8p5U1yxW1bRIsmgarPMYaxlCyELqVmjqRWanef+hYv7BJL/aYfolfLNA7/YY4zCP1rATSA2qhsa01Mmgg0WfCiZEpOux2++QYYkNT5DdDtSglw6al+jQEduIXCxRDGkQHHeYwcDOoXePMUOHvf3fWFwI4j3x8cCjVxXOtEj9O4aLz1GXsNcd7aWHPkEXYNdjQ4/ulFQ9wYtDthFZ1EgSgkJf9aRhQPcHFjsDlYd/c071u0C/NVj9Hb2x9CgxvaRaJ253htf/c8Rc3iNmj9t+h3804G1kuYd+MJAqlncQVwO1S+y+V5zf0/iB1c/h/F5gJ7xe3GPjocypHlFbjzUNoVZuZEnE06xeYm0HUYlXHWfuKX7d8ObNHh0OGAks0x9x/YCQ+A9pwa/+buDZWWT/XyKvV4Z2KXzenXO3jfQh8Hgv3J1bdktLuAcXPTYpw1q47R1tcnQXLZe38DgYVv0l965jbzua0NBsN/j9kquwzzIAzS3Pf7dg7RtSbXn9yT3dfkcVxzDac/bRKED8vjY5iqKH2d9/jYh47wK5RhfCOThWk4EpOAofS3mGdnbc+HvFT+mn9FP6x0zj+zm+w46jm968b4gPjhttoAMZkK6AK47v8BmwLb/P3Xg9x37KYRqDvwC3e8T6cMsz7akEulDBrmFz9TUxQN8I4VnA9Uuau08Z/lSB6RCBs27NwShXm4h9ecU6DDxZGB6L0Ffw+rESv/0MpWF7Bp+eXeI7h7068PoRdFWPHt7w9//iEy7OI5y94H/6WeD6pWP4dklY7JFgYbsC7knqCMMjNDjEtGAUXV4VAXTLJ7eRp28iuhs4pAF1cF5vWAWLasAYcLJAasH9vOXLx09IUTHuDa+uEu2+Z7OPVAeLx9BsPJXfkkLk3K7ZVRAMeN/gvMdVsDlL7G8cYRD2lyF7WanjshbO9xUawX6uuGCQoLCPSA1qhOEuoaEnETksDLtdYuiUcyPooNRBOXSgC8GsLOsnlqXzJOeJ6wYXI1Yj980WrLKxS8y/vaDpLU2wLDcOWTq2TWDzRoiLjrgcqLozpPKwfJ/e4TF9NCjVmOICRQZTJqBpvmgsx0k/mkDMNAwps1XogmAphlFT5Ihh5e0kD9xkRgN5NA4ZkQkp1+BU4kNyZL48uTYYm42PQzewrAeSy/T2jP0IYoWYEsZZ6rpis1oUAfeWPuZoPv0wkDRfsx8CojpR/Zu6oq48q9WSurIYyaCXc5aGDBJZk7V8zpcNtrgXWmvooxIVMDbrY5gMbHhjSGa++vVx6Wh4/cjzZivqY/pRLn3jfTWrs2jKUZvutttMuW87mqYpxpDBeo+1grEGK1lYb9Qy0dJgbHENMSaL2Y/JzMpFtYQVn+VEobh8zJ5BRphUStssxppR0qiNVkCqsV0lLfwLPRqixwhYUwZmRr4eLdMRUBHN4JUUJGe0nh8AhsfrzQp1au+80+KVmSWs7zpG5MiWmmexnPeQwXWSZuCfTH8X2GAGkvxQC5ke9T1A1skN548wvvofAKROADw5rWudqvEUUHyYtwngmLn7KiModQoOjxEZ33oKYQJtpnqe4JeZ2td03LsL4i9lY7wv/TDj8VjoJ0/3oC2+9eil7atwyuZ6kMb2czz9AYIzO1+mXMzzoyf3fdik521xbBcZeDpOxcZPGutmYjAeb1yGprxdMiQiOIHKCs6MgT3y3XTmbvgh3aF3lfmHGJ0Pt+fHeufwzmXgZiyLB4jYKXN2VvdMzfTY9mNEVLEiOcqN2IndKSNjtDEYhRgCQ9+RvIMQCAJWwDK65OUx1XtX+u3iDjf1QxYt7tveGIxGrELlLI0otUBjyQL0KbJDGZLSp0Qf8yeoEkVIYkhicvdKbinGe1xdY6uKarmmWq9wiwbr/dFk1iMwZ+wSYyzWGKrKTyBfP+SovNm13uWxyv+FQucmoCEg+4DpFfEgFrSvIRmQgF0qhAT3hnBhkGggGEy/RXqLDktkb0hOSA6MdkBPtBFjKjQY6BTDDmk9KTq4c2jcod0t9rAhGUe3qqlegkhi0Ah2ld/lg5DqmAMDGLDxnqQdg6vBLRBxdENHtUhZYH7wtFWOxOL2CQaHeINbWlztqEJA0j0xrIkBdNgTKkMQx2EfIO0QUWTbUw2BSpR+54kbn+cJg+JtRitjUEIaUBLLM8dmHyAmBt9iyEL/XdpTmQVi8oKTEwFrsPWAmJQlyXYGFgIYYvSYvkeICIkqRUSUlw0cGlhUsGiharJ24Kpd0PYHUj+w6YU2WPauwonFYjHREQZHr4ZoDL0E1pnwjsYKTGYJ+igsvKERQ4uhl0iSgNxbOoGtg1ArZmepekevN/RDzRDAKngZcDKQajuxnz05wl92VeiIxXVRpM6BhCZhcji628zBpHlP+rFJOBU3H9N83vq+UeGhkfxT+in9lP5p0viuJ46ueJFjdM95vzBa8MVlWGdA1qQL2HJkZ47nkL9TyKLcZHdxkxoardmoYwfE3mLuFN8NGUpvLLoRzM4gdyaPly5BbUhxQUQZpMPvWipRFlWDG3qiKK010C5RPL1LWAc2CVjLwRiGBKZtOX/seHJuEd/RNYltZUgsMdpjxYCFWitQx6AGsR1iO9Rrls1SxdpE01qavYEuoJqyTM+iotrZ3A83PYllnt+ahLcNaVCiMbiDw8YIhx6rBquAGJoKbDJUvkbWkZQUwWFrg/ewsTUmOxuSjCJqsUmorMmRogF80fZLTC4lKSn7NmTdT4l0ldAPhtgLgxfSABIFszD4jcOvLNVjj9oKNRWh2WC7gAmBdDZkhUNjsI8WNPuKpnWsa6FbRHoXYG9Qp2hDbivGgv8ruu+trCE7RowT+wykjJPBVIChWMy5LA6bgSkj4zEUQ12Ku1CcRajKoICMDVqyCO30/pTfdWIkFLNFDUyOGw9NqzyZN8bhHEDAu46Fdzhnp7HQGMF5S4qJyjlYLHh8ec7F2ZpD19J2AyEmQowMxfVLYzY8U8rR5rbbAztp2e46fOXwlWO5rKmspW4qzjdL+j4QYiKmOBkQi8qztm5arU3GEsUQxHDe1Ox6n+83e7KPGcRjyuwCMe/EMv5xkuYoVQI4ERyCS4nf/f4rhn6ga0vZWIe3ltVmjfMG7y2NrzMIlBJhKFTQ0qbquma5XLJcLLCF6eSritwUCpgwgjdKaYtHPSkjc1dBnTbfElq3Np+fjmK6RhU0ZICtGIEyAUVZJ2WcgGUmlJAZUg/arpaXZWSwzREfPX4JJ/9N9/mYJBMbaERzeAsAObpKjXn/uPRjNcfemT/eDTDNAZDMUjuCWLOvH7i4cMzeCA49AKH0QUmOv2kq4sb5M+0fMzy60+au5iRH2SAweaCSY9Ue21oBLGblLxiYyn681wMHuh8o63dpBX34mBMk6X1XJffO8z1vHyvz4+eI47T9djKzZvkAIpn1aIpKmq41MaPmzbl8RnaWjKxFnXp8RmYbVorYdpqeZTxXxwh/IuXdzs99HE2YxiJB8cawdI7Ge7x1ZGWwctXpgf7yd+R9aVygSSlRVRVNVWGLC3t+jgyePgSxPghGpgQxwBDwYvGVY7Fssk5V0Y+qmzqzdoH2/j6HMhaorWAcBBsxsc1BIEJkbS1m2eR+3vu8KETWVyApeAsuC5ErYIaEFaVyWezckXCSqAoouBPoUmQ3JA4pcnw9E7ZpcFU2sk3pnxaXj1hcXtJsNizOzzDO5nuNC2madRwsghXBG8mLKCmhMRJjjlyrdYXxLkcKrBqMdVM5/Lmp+q1iqhapBlgu4L4nvb4jsoCqheZA/NslegN8L/iXDZo8miqMv0bcDSw6hoUhdZF0PVCnC+LaMFxGqD3mtaP6E0BLdBXBrzB/vCadHwifear7HYf+KVf6tzy9/yOxq9m/+RuWTzqMGUAdzt4jFbDy2MNvSbahXXxKFRpib2i3QlV9B2JoDxd01R1u6Dl7EbjfNJjewveJZ89rkIH72NL9ticelNAF+lc9qbHEx0Ld3ZEksd8I/T4SO9B7h110yBK2LHjcGZaV4D7p6W40g8p2oFsHYkrU58qidTAIO7llVW0xRjjcKz//pCOtDvxusUCsRZJFdufs+z3GHBC5xN93GGPYms+41O9Y1bf0v9zz9X3i65fwJIE/JEywsF2CG8DkyXN8fUZkw6UsGMhuo/r7BfgOHFRvKu6AW285RItH8KpUbcvyomPzxHBWw5uXjqvXjq9j4oqWZRxY/f6XXHz9CWevP+PF8L/wel/x6sazGYTHtuORDxx+/m+zDheWZ2ywtGTWwh/pYmCXBO//hhplwUAWH1aySPqKY28eyL3fXwK8yoPt5h3HGHIkrzG1HI3gn9JP6af03yYlstteBzzi+D52MEnAjCzHnuyuN/YXa46g1ghyReAAqYN4ANPiOsvi9hy7NKyqFU/jJ/xDGtCbLavrW5J8QfIDwpbafYnaPS3f4HzplfoF33BJ6AfoEhU73GIJyyfcvf6GA0qqa/xnlnBQhm86XrVvMCaipqb/fokxibppsY/WsPGErRBvQbcOYy6p7zrE9Eh9w6f9Z0RJfFN/g3zakSqlB/jjl0gH1K+gX6PtEvqeRTJQCVzaHElEEjy9RswCRiXOFy3xtuPWRJp9h4kHXjV7YjDYIEhreLpxuI3jtVZ8+SRRO7i9Brce8MDi+3Multlj7W67INZ9Bu2Ch3PN972qoBHwCqsI1xB2kT/oljBkXNENged6wZlf0j+Bw81ANySWf7vm8WbBetPArx5BY8BZSGu4sdkz88kdVAFcgKXC10t4WcHZa2rrqKWCzw+4VY1b1rAzee73ERGMP3oEOnOluWlx3ysue6EwSVIJyZzyWg0xjlN6JZkjsyp/RgArh/XWEgts0mwpRsnEfpmBUkyA1mjUR9Cji2AiTSwbLYa3GkVjypF1ipaEd1lzqvY5+o81Bu+EwTs0JFZ1jbWGzXLNoo5ZsyQm+iEQC0A1GglDjIQ+a1MljXRtpO8HQoislkuiF1RDnuyrMkSlD4GYslZBVZEj71mLd5aFr1iuNrTbN7z87it+//KKQx9O2EEP00ODIyZIo+H2sZX8A+ldbiIPQ5CrjvouQAxIP3B7c8dut+f+7o5+GCY8xvmj+5w1Wf45GweprK5n97u69iyamvPNGXVT0yxqmjqzzYwzrFYLqqqiruqizVXq0+dQ30lMcYcsec4ZPZZbcSE0ko+x5hjFLxu+LreniS1VGDU6dw+cG39ktoyMwFUBgPQIRI1g7Cnl4xix7TQ90IwpAMbI8tDZu4PoSd5PQMwCUuXXyWQwZgJw3r7rkaE1funxctP95G3Qc3apt1hlH0gPIZTx78kt95iL0/xxxPdOYJTSKeS+ZXTB1Ok3VbKraNLsrpcKbVmZoiyOrm752TP7cQRQCmqVwV+ktId3aU1xdEMsxvYULGLK+AgcfhwY9UPlevJOoqcA3Vuv8REA/lB6mL151LwREB5d48Zyn3r9aTFhjtelUnYll+YYmfDYb8nUGBRmbNhxrCjXnICHY1CCiZAo5H5lesYsAT2251yTMuVdxJT2kn8zE8hsj86JIjliLMc+8GG5vyu9183yY8Cscu4w9GwWnudPLvj9i++zW56MwUB+IM0YVSlG0hBg6NE4TECpIQcl0RRIbQ9oZpj0LYSAjYEQeggDJkTQgBHJY6a4yfXPO5cF2acIujDErCuoQtZbTAZUcj40T2p7EtsQ6ELkposcIvTJZCFOVRBDs9mwefSYxWaTtRi9xVaO5uISt1xh6wbbNMjI1k7j8pkWhnNpX6Prdkrl3aT8kF2wx+irc7bkn5vOjaAO1Cud7tFLsBvBvbpGm4SuI+bNQLhbEA8LnLkBImoi6ekKSQPS36E3X2LDARcOSLrFXhnku5rwr+5gk0i/isif9ohxSH2P3XborRA7S/y0w7ie5X7AXWwRc0PVXCNxgUk1khq+qSxu6Ll43QKfMzTQuh1PvvuewQl3jxuC7fFthVxHTHiMEBjijqFr8yoyhu19YLmwPP/kMe3fVrS95a4T6ttbVALpzNHfBVLwuG6DLG5RJ7R358h3e3CCNGd8+3zA+8T5DfSmJZGw19APFRoC9uaWwGPwFelxT1qfUTcVn31u6LY7fv+Ha/4f/8833L6uOQ/naH1H0g0DDvnyNXK9QQaHPv+K7U1L6KB/4Rn6M3Rw7PRbDhtDWihsXxPPOg6rgd93ibDb4/tIxz1qehyRT/kO4oAmGPQZ8qRDVh36h5doyBEhu58brpdwI/Dl70GGzDj8RDztYsGu9nxyX+P9HdH/iTe/+5zv+z0v2p7n0dG3jjed48Wr/y9el1RxxV31hk234OKwJG3+E+Zuhbl5BJ/9R5xEqhRYLv6IX3ncxtFzoHELltUGzi21XbHigqNGlAAXpfUGMsvqh96Bh8DUh5I+uOZPwNT/PtO0lMRPdfyPnX6orOf2ylxqwXB0zRs4sqbGyJojkDyUzwroQe/IrrparnFbvp8DDowjR+K4xy/2LB8PuPZAyw0vz1/iVwrbCnnznEEahugZWkf1zRvWQ+JsqHjpe2KZthj/Gu8Uq4F9/5jORm6rlywlUsWKqltw9/o1JtQsZM16EdDY02+VdtETLbQuMdy9pFqe8+TLC9b/nwW3SQlPlUEuWfoDz1ZX1F99z75rGPpnuNdv0GUHF4HPiCST+N4dSJs7OLuFxQ2HVxZ6x9J4eHoNvcILi/Amo0DqONRb0jpy9tKxv8oanI+toe8DVuGpXSCyQpzhk8tA3a8xnWHje2R1htSGtGgxd4ppYb00qPNgIllHJkLULIbcJmKM3Ow6DveJvktYdfhasI3QNGtW5xfUmzXVsyV1Z0nisf/6Kd4NudpW/wJkD3LI1/YWHhmoHIjP9UuEiwiVwvocZAQun4CtM9mj3oJpwL5roeI0/WhQKiozhhQELewphaBM0XEGpUTE0dygyEbMyPkZ7fO8fZxMT6CVkg1sYPT5SToaP+YY3W++fD4zPvM1TbF98kp4UENbWDTeWRrvoK5w1uKtQaNkNfqUDZrKe+q6yqCVyhTJLJoComiOfCQma/bEEBlCJMXMpBITqHwo7AkzPWDS7AIZU8pAVvlEPUa9WVaelzfXvHjxgpvdIUcLmgCAOQAiJ9tH42juzvbj0nsj673n2LeAKcj1UHSahiHQth273YH9YZ/LpxiQIeYX52j4Z5DKicGNbhXO0VSeu80ddVNlUKqqsc5ineXsfE3TZKDKV3UBHD2LRVMiKJUV76JhNcv8ZHiImGK8n4I0Y92O7UtGVy/V4q4zXm9q2WMsgBMjPNs5Mjt6Vr6qD8aQE8v/mKbrHcGtE2xrtMDHd2Oy2HXalvEk1enQ6Ye3wKWjAZtvcgRpxndMCktsfIS5C+3D00/u/0NpAifebnfvKqbjSTp7jhmgNAFSxzammt1LSSm3V41T/mR25gjeyawQT2PYzQf6dySZZ3WstzEi6Yce/x3P/o7j57tmWOHs9Dm4VvJz0o/M2EoP3ve3wBJ9a+MIGk598XjuO098a98oep/d5mQGOp1uj8DaHETKbe6BIaRH8GEsnyOsO2eC6UmdTu84RyI6jKPIjKX7jgJ/KyLjB9LHBo84ZfkdQcOUIsYIm1VzHBNmL9vHul9nBlnCmmwQ53ZxHKlt6fg0JWIIEAYk5IUGEwesBhrJ5ewE1s5kl6uiF+idxVpDZd3k+m9CmphJUWNeREKx5SMpu5MdQsqfBH2SrIwjFnEG4xyLiwvWjx+zOjvPela1x1aearPBVDXiKsT5CbhOI+Bc+ngp/UAqYxRJcyGMaPE4d3irT/nz09nSkJwhWoGkJCNgDeoHcApGkW3EdJ6BiLMDKgG1EWlW0OeJpvTjHMXkyHixwkSH2beoT4iLGHpIAww9RgJJFoiu0PqA2EAVBvAgVcSu9hkdSYpVQ2cTMUAMBsyaFAe0u0V3NyQvhNWKbeWpNbHQFtk1IEJUh7pdjlYbPHsXEW9ZaYUsLLYyOGeRfQMpkDQRnMGoxYcKdYUN6CAdSvAQA4OxRGNYDYnobB63+pQ14Yyg0WCiRdQhhCx/4B1nj9b88fUbvn9xzX/9/Y4VNdbUiM1zSAM0riVVKzCw3OwI98JeDXYwhMGRoqdbCL0HLHSmYxAliGFbRxYxR4oc1EEqorHNHlASNrerSqFOeNORYsrzPu/oNBMJ2i0EqySX8FZpl4a4sVRth3U9yQZCK4S+Z2i37IJn2Hvs3vJa3lCHJfWw5Ovld5wfLjgcHqH7G/ytUl0vie4apwE/RFbVFnvuMI8t2h5o6hXd+oDtE7U/Z/AJMVusAWcspgYjDofhqB3110rCqcjyT+m/3zSNTuR6/ctYpT+lPzd9aKB61zx1/j6PdXYcK496cEoGGsZT6gy0TMeOmnX7/Bv18dqSr2lcxC0UXE9ne25tj3U11lgqsXTiiA5SBb7f44LBatbMU1GSU2RQLImaxL00DNrSpw6rJrNQrVIRSUXDrq4TcVA6NSxkIBgIGGLbI0lZXCxzcDEi1oCKQa2ACwwEhiREnuK6rPMsveC8ISLE5FANwJDZ2D6BjRACSJ8f/LAAX9wdA6h2oAHXVbhe0SA4l1nbBmEphkCFGqFpIjI4wFEtA7gGtYa4adEWTABvxrm3gEsQyyJbhDRkPGI3RPYpMiSoU4V4wa4Nq80F1fNL3OUZXJ7hkwVbwSefFBAqAedkoLIB7jNjahoL6tI2BqiHfP+mBtmSGXUXTFqCjnKd+gPtM6ePBqV+tpQJkGpTBqCCCoHCUtI8cRwBly6lsl1CNWuZ+yHTMWk8XgoQVf4+TgaPr4Zq0fcvhoOVozEznp0oEZROOsiUQSyNxASoRQn0vaGzjtAHGu/YNBUKBBEOtNy7HZX3LJdLKmfLRHs0kqSAG2ZaP482T2Ktlil9MXi7w4E4WIL32QWouAE567BGSVmdmRiVtguEZEgYYhr4T//wD/y7//Qf2XU9ztosSvuxhk+ZSP8YY+m91/qB8+eAlIyaK1qMmZiw1mPtqDGS3SRDCLSHQ56gxaN7TU6CxeDIx3cy0JqW7dU9YpSsrS8lNLplvcohzZ3zLJY5POdyueDRk0es1ivOzjbFVdDnj7Ez0EbBjC0o5utKCQE+GihF3FoAUnYVOX3+nOcRrBoNV2V0A6QY0MLIcvLl7yz0fjqAK6Wrn2FLU1Yn5OfUXU3m/b+OWm16vGD5njOKjidwBBVOnis9MGrLm3liK4/U3sKLmYfAe2gcC2PBvBNdeaudvQMAeX/S92xP2ctlEiOk4o4ZUzZWi6jyyIowEyhVgJIJrDIYa6bfxnoWmf0xf/a51+h4VmHlyVvRB0/z/i6M8OPSO4CsWY/6FqCnD9rBB9LpE86gHdWT/VpeFDWlqRag6NgOS4uW41c+tfRVZYCeRM05PXVqJiPLkZEJw1TPMrrajmCxMSXaXmEVoUXkvIwdqiD5O5GyQ4kkVFJmqEgCb3DOYIrL1z9mevguzP9O5EWR1aKZgezyUX39kVGZQTbjLMv1EmPLggyRFDI7qqosrl6iKdHd3mdmWNuS7m+pUqDRRFVbGpsnR42NmZ4tAq4gXcYgzuFKG+hIdO1A6HvcYQspYlAWFjQqAWU3RNqY6BWCmKKbIBjnqDYb6s2GT3/5CzaXlzSrNTiL8b7cG8Rkl725W5AtE+vjolVeGBGTmdRjGY5ssYl9OpXn+wX8Pzb9/BcVYW8Zdob7UNN2ka5P9OcGnyLVPrDfJ4zrMWcR5xypjsQmQtyT2op4OMdX36PUqJ7D1QGee/iXDe4ftthBsOIhtdBF9PWAPlfCk0eET38GdovtA25/z9A/KlofiXh9QNIeU1+zTgaWK9KXn+D6imW35+zqOk/1b4VP/tjyp//Lhmqd+OLZd+grhc5g4gG8YFpDuoI3/4PjuhLeXLU4OnwILPaR4eYJGhvMXYu9MLAAF3uQlmQ7+vN7ZGhQhehfsDo8wcWKWPXErUcT2OUOaTzJW+4/ecz5nyz1IVDfgnJDsAvS6hP+ePc9//D6t+x1z0EcJA/dhqrasqTjZ3+Erz67oz0T/t4bfmcb7sTyi/XAzf6GnSrbzw3pLsFV4rtK6K8W6BtD/ekbHi0iyyV8E8/QXccQOn77TKkAS2Cfvs7NqhWausG1PSYkhm8rKEPE1w76xUCoWq6SkJ5tcZ9G6i5hF38H7nPWT8+4vOvoQ8fLIbGoblnaA14jzfCGZRfZWEdlFV0PVMMKFp5u0dLZl1R9IHVK+wfH4dE1+90NT/7zE+xGkU8Dq1d/IG7W9J88x6xvOKsNT5YVi5+vWfmnnPMzMmviJ7Dhp/S+lMi+PZ5jhMYx/TXBzJ/SX5bGedXDd7kjW9kb3g48kIDvyJBBRXbZq8mWygg21MA1mS0F2Q2wIwugf5FZNV7oPu+4e628+U1D8/oXbLjhTL7nmnPioxb78xc8f6kcdpavt3meFZtIvxmQb3/G2dDyRF+yR5DOUV01XAWPWQzUT6742ePP2d86vt4eeLxS+qHhanfOv+jeEPrE91UF2yVDWLG92HA4i+hVYP3SMlQv6e2eX99Gzg6gMYAtgdU6ofqu5pvnK9LgMV9beOHhVY0MP2P1i69BO+Qqwa7JY42r4ekiu3zf37D4dUSvDoT9NUsvyDIRHsPF6yXSWcRlDyGcZA+dxuTX6VPgBXAj2AsyPtgBZwluI4QIjxV8XnCJ9wOtBFqJ3DZFNcwJT7oV2yeR+Inj8c9/CZ9/AheXEFZg+gxg8LzUXyQL2p+Xz9gOKH+PlmqCaknO6Nzdc8ukQ8ambP/wvPmjQam/2bgCSgmHmL+DZoZa0BIdp0RjGRS6lKPjJIUhZf2pkJRUgJWQlKgFrBqzqxSR4ezSpxx1q0a9Lp0Mh5FxpZhxVVOzXKUyapOM08jipjQyRGIqAriRMAz0quxRXKG4JFWc94SYmUzZxU8Qayagx1hT9Eoy60KMwWAwRnEcI7dJyUSKCUSzcaNHoSczugaIYCTrJQnK4e6Gb77/nm9evMzP8RHA0kOB3L+GvsmPBbSkGO6VZIHy0UgwNj+bdY6kWavJVR6JkWiyy95YZkqusYEsnItKRi5L2WS3HEULnrDb7rMmlxh2t/c5PLm1fP/VN1RNTbNq2KzX+LqmrhuqqqKqPE1ds1yvqJuGxWqJryqcydpeE9Aw6YFmk95MAMT8maHE6zuCO8V9bwRRJ2++h0a2nIa5Hxk40/+T0S6FycBkeI8AqUz/z4wrc/x7LvQ93lxGcCtjchORbzz95OCTZ5XTvaoPjpvlYTTcR2N5AqNGIIEHaWQmje6RyjuK+zSb72njk0FZrpPCADGiKWbjOh2NThGmSI2jaKxMdZYN1dHNc3TlmVwyi2D+FFHRzDI8c1ljfOrZTycQj8yKcv58f4EhPLHoeNg+xkKSYx7nN09Hd7y3rnly/hzQOoKx8/tneK+wCkWn0+a40vFJdWIOmvEdKOUyB67yNY79W9LStzK6/+X6SDP3VEMk+1CmMhpkcCrqcTuN2zBj4uZ8WwONtTTeY41559D6Q8LlY57/nEAS8wh61lic99SLxQRoz9vPe1lu+cfpQC3ahrZucJpIMUBSvPis1ZUSdC0aI4s0sKxArMcuLvMigBEWmsjLKDlfKtntLaJIzK70USxDHxiGgHZ70qFF+x4pkc5A6TRH1xti4hCVoZCXjBEaX2FcxfrRI86eP2d5+Yj140tcU2G9B+sRsVDcAuXE1e7Y32p513M3Lcd+ycyAds3bSVMBNrPf7Yeid35sWq03aK2klbKRQNpXpJ2jk4iJERMSvQj3deBuEXA3hn7wtE5Qa0guYPyAW3qMJsxwx+AG9E7Q32whdjDUmNaiF5DWntjUmNTj9wfcb35LCBWaahIR5w5Ie8B29+ye+xwK+nXi4jcpa4DYayyPUAehWWGe9oTk2D7f8GS3w3WRWIFJVyQaBjnDpxtiM7D/5YHFix3mOyE6wXWOmBx7FoT1QFr26NkBtg65Tbj7V7Q/U9Q4msNAV29Q8RhaYurRrkduKlLbgo10K4tJNT54Lq1FfMVghOHRnmqwyA28/u23/Pp//a/84d/9jk+k4UY7Eju+MFveXKw5VAu+fXXN4e4C9p4YbzlfD/iLgatry6E7Y0gNfC2oeUWeZIP3A5XC0zdCLXkM71KN4hGzYnVvWIdbfNizH9YgNeChc9h4heWOAQg2ECXBds06JNY+cfa4QtOC9Kphu9ywr88YzB0vw1N2wwLtz3FGsPsL7M5yefYbTNpA2OCiQ+yeYO8g9ezNnp14nr3pGKoV+9WaiydX1AuP4ylWBdnfwsvvONge2g6+ukaGRKs1L2WJnr3ANq+oF1fUz5bY2uK9Yb1O1JWjWdR4f4nIBuSSn/Sh/o+cRr2wca5xXLD8qV38U6WPKeP5+Dg/viJDAvvZPiWDDZbssjcaIH2ZT0Xge456UmMbWJIBjf64Xz1oTfP8nPXqlvPes/v0a267wO7eY3jJ5c5z+ZtPuYlXHIaKrt9QVdeYzlDHCmP2DI86XjwOhN8nTBrt6AUmOuQ+8l3fEDoDdHz77RKnwqMerpwjmjxzM88C9Xng8X3i7I1yv20J/iX9xZ4YLXL9CdEruojo8lv6aoUMNfomoGFPZpMoPBrgKXD2GOEOYomKUWkGNe4GiANIgBCRcw/1GndxhjSZrWyrBnkyIAPQ18jTlNlVtxFcYaLtFmAGpGmzq94m5PK/UmhSxgOvLFRDXuhLhuATvQzUd5CocL5i/fyCxd9u0M9W8PwMaUpdukelDnvghgwqjxFTh1L/l+W3UXtsfM/3pY34WXs5L/Vvy2fHEaD6cPpoUOpRVShrmplSWVtK6AvoFDTRR2FQGJLQqhZ2lNKnDEgFzZpTobiqDakAUqX+UtFBSuPa/gRaFfF0zWLpSUYXQp1eg9ERY5ycz40Gpegrlb+yOG6ClLWvAjAY0KI7NK7WqxYXkBSxprAkRoM0mkkQWxMY5yaDeowUNbkIpTTpFeU+IJ0YqJCNNwOFZQQpDgxDnzWYHvIT3sMykbcMthER/6dJc30c5yze2gnkMTNgKhV2lLVjo4+oFur+qEfFCCikolMmmCQTtp/tjmww9P0oUiwEyRERDcLu3mC9xTeeu8USX3l8VVNXFVVdsVws2Fyc0SyXLDdrlssF3ntqV2WXP2uzIL6O2iJZA+1UxHy2OYaWE47GfkGRMuvjFHlQYRLAHplNc0xjBECnP8qdjrd9WLc64lRv4UonEbfIzINpgJHjfh3v8Y42NuIyTICFTu567xri9B1ZPOobHX88Ml/GotBJcFxHZOLB8wqFkVPKdfL6Gs8vRvUkXh6GDHymiBYtoONzFXbUDDDIVTgDn4pL0hg5LH8s45s7glan4N4pQvOwRN8FTD1MP9YOftc1prqeF9J46yO6+HHXn+dtOn8GSAljTwwjSKsy23d6kRNDvzSM+T3ex/55p1uxHDWpdDpmQmrGZYyJpTaCXSNscVIds+xC7pf92P8zixZb3ukPAkGz9HCx4GPPmydns4h4Dvbw5070lRE0NtZiRgFKiTnCoOrRH1/A1BWuMlgSXiQD+NZQqyKaJ05ZGTLXdIwBGXo0JEJIJBIhBRgGCD0aBiTGafEopMSQdFrAGmvVimCdwzc1Z5cXnD95wvLykmq9IIezNYjx44BwdAWdLQg8fOwZMjX1RUcAtwDV01JYGUNnrL0/N/naltBpWrwiHOocQzQQLYRI0DxmmcpgK+i9oa4cSSC4xOADprIQA5oGTJUBdu6VtEioTWCzCxzeYCuH7CPSB6S7hWFFIoBpMfUOCXtsv8OdNRix0FsaBtBInvEtiLVBbI5MHCpHtzacvQhYkwje4U2PlGjCREUlEpcD6bVgO1AnpG0WKE+NkNYJtZFYJ+y9xQ6Kdi2pr8CVcdbZAkoFtB2y+HybgeXkIDpHpRUmOVyCobZ5kUPzTCAlOFx3dK8D4TpivWLigDCwcC1izglmwbZuUdPgouOwtbAesFXi3hqCCKjDpRqr41wF8Lk/MJ0nxkRMkuctxiHOIiFC56DP7PgUa0gNqRqI3iFURJOmRd5FUnxyODVsFtCHmu5wTqo2iK2INtKpQjL46KisweBJaqnwIEuivcAz4NKAaAnYgmYZjaREDIOroB6wxmEGj9YBpEPiHcGvkBSw/RauYSAxeEt4s0UWEXMmLILBNoKvDcO1UteO5bLBNzuMvQQLrkmIWARPtRCMOJCHrJmf0n+/aewD3+emZzmOqg8G0Z/SP0H6S8p7rMu59VyiuCFksGHGdilRPjNY78rvZradZh/AZrdqHz0uZofgym6JVuisQ1PAd47l3vK9b+iSm/JkxeWIqjVonUheyRpKZQ5jsgd80wm9BAhCTU/XCkkstbEcrJ1MCbMR/MKwCI6qA9MrfR1xJIxaSBWmjqQ6QLNHWCBq0ag0/QEKAYalklaSGUpDBWgJ5hLz/KktZagKdglnIEtFhiaHdbWKyJJJC+pg4BPJD6N7qLocjKZ1IDugJ4cQLIDVQaDOepgcLHEku8wMM4tkO3jh8Z8tqJ4/gSfnsLYgo0v2WG/F1XAKVzfu68kufGP7GtvF+FtHBjXjrB3MJ9PdaVv4QPpoUGpT2UkvalMmn0zr4Hly3UYtoJShRwqDKrKPuRyHpPQxA1R9TBMg1ScllAE6pNG1gqPbnyoxRQak7M/AVyxgV4RJoFTHYp3mj0KSWXhwARlBoaTl2ERXXPCMZLewEAZSDGgMpOCw1mQRbTuG4DWTC0BKCen7zKASKa5XRbfGpHxubbLWQWkw1mbGRYKZMQfEhFihaRqeXFzy9OKC7+8Oxwr+GCNEQWSmIfNPlPIEP9e5rxrWTc3losYXNzvvHXHwGBWMGkSFKJFIKPP+HJkwEidQAY5DXB8jNo1h2fMzIrkdZewiu0bmKHSCxkTqB8L+wF5vSsTIzGkyYrDW4Jsa19TU6yWbszWL5YLN5oxHTx5zdrbhydPHOO+KyxU4k1flrR0BiWP+5lWjpUOYi4ULpwedGKfle/7KiqEYWaMGyngNPTlpApSk7NRxOlC2Z5pS40aBQDlGDoRZbo95YEKi3sIzxvffnPw6L4TRpXHCJgpL5qGBV2CBVIy/pO+iUZ2ksVSOGZojcQXMjAENER0ChByyVUvEMjE5fKox+X025ihafxS/N0cmo5FJE0wYIxeWvmDCWsbWUPLwoLSOuftvM1ETjk3nJCmM0H4+sLhky8N64rSaBR4OMm+Bku/Ly7uAmfEzgWdzgOHt1jdOfOWIKHwg6QyY+og0AycRwdjMTupjZEhzGvLH1+VfxFwd0RNVlk3Narliudp8MPjFu6+TvwxM1xPAiM2PbCXjApD7R2vyYkLdYF3RVQDUZtH3LqXJXduFIV9cE7Y7YHZ36OEAww4bOkxokaHFxIBJkahx7BBAs3t/JLv9iSasgmAR56mahseffcLy8SXVag0uA8TzcXGKwFpqeWoWemxbY+1nlmTpC+YuxwWos1NZjS7zf4WRtOmgdzB4MHWOirMc8IcaNACKfyws2oan7Qq+PEDtoHFwO7A1iTuNNCZxn4Q3RqieVEibtaj6JhLPArHeMhwMbpuw3x0YUKQGswFdXZP0HhvvkHaP7oTUVaxMD6kmxSXuixtksMjrM0JbY4c9Vfct3D4jPVH4tzu488S6Yfdlw5nZYQ4D0r0mHgwkQ+VhqCuSszRY2q5HTWC4PGBYIIOBUGeQZqX03mJvIjjYPfOk6w4Teix74jcrTFT82T3tFxeEtaeXgOxXODVEs6V/FLAdPPlDov+lQZYWbtb80v0PbFcV/6+n/xPVrqKKhuuNMtxaNDT0zz/l4ixSSc/Xv+vhWkhbR/9lj395je92rH75lOpPCa6FNw0M6wX9sub7CHK/Q/YtNdcMwyUhOO4Xf+K+O4N0Tv3FC+K1I+49/ed/oq/OwDwhfvct7Bb4ruFvzR0vecJ3nPHM/5E3dxe8uVryf3vacwFoXbN0PUYOKHtM2rBfXbFf3bEc1shigy4a1voVdrfB7X6BWb7GxRXLsOH6ya/xOrAI96S+gU5Ju3viFwuc5OiYw+2nWNtjFtekb25Jj5XwK0X+S5UNHLfn8N0tqpEkyuuva4iC8Yqsfoc0G8zyCZd//4a6WlGnz/jyX1mqxVPgX/7l785P6Z9Repeb3thHzsejvySS40/pHy+9Y64OHNlOI2NKyK54w+y38bshIy635HawYhI/n9hRj8jt5B7oMnnKNLh/pwzfDNxUHX//DbQucu0jL9tPOeiOHV/R9b9EbUtVvQLArVc0zy9509VsboVP/vM1v4mHvPgCVNUd5ynyST/Qf/4VsVXCHl7VNW214k29oD7cUYhS+LMF/uwMWz1BxJFSTdc95xcvOtQOvGyuWG5aBgsHrVi9fIPt88mf3BgssEVh8a/oFwJ8lzUfsbDaAiaP3asVdCVIxONfAtdl3rEiM4zGSIaP8jm8BPkkb3/5D6B1Pn8/wPYetkMJlJryt9pC4E3QJ1qxBDGcqbKIDiPQPYVmaanPLfyfzuDsM6ifMmmETXP/TdnelfrryLpQd6We23JcU34fyjVasovmS45unaMO1b582lkb+XD66F5jMjw1M5Wyq5VMWkcihtqmIm6eDa9UPn0cNahy+WZXv1RYVtAn6GIqwBX0I8tKhaEACUkNg5bVtnJcQOk1ElNxp5AcAVAVotrJ9S8qkxjuNCkFlJS1KpQcxE+z8DVWscXgRBNRA5qElIZMESym+LhQPs2ATybG440SKULoB9IotC052p4YU9z+LMYo1lIm6YKv11xeXPD44gL+9G0GOOSoKfUuF5CTaFsch4dRim7M7l8jvYvBIGJy/mKuf+cdi7rKpSUGayzeugzKYTFRiBpy/dlIUoMVU7S/NBsdenTpyoBeXo1NogWElNnzRpIZcd8MEFopIr7kerHlN1Elhkjc7eHQsr+75/7Fa6yzeO9pVgtWmzWPnz7h8ZNLrLMoynK9oWkaVutVfq4i6OucZ2TXmQJmOGc4GrfF/fMD5TmT0j7uB07Rp+Pq04mNW9rVadsrzJESWQpVJJUGmwofUSKji9p0t0nAvYAxSNZaOsnXfCVM5z8c64zcFid8YQY05K0jlTONbkVF62l+3FiCD4Wfp7I9feTCjorEIbseaUzFyBy14MrzipnAqAxM2WlbCgg1ReA6ed/K8xtl5peJltVDmVfXsYOY7SyrjJp3jFeW0rfOUwbAZs93vNIE9p0mPdk0065j33BarhyJaA/+Pm2NBdR5UIdwWv4jjjXPp44Hzfsu5fjmlvFkKjedNZdy/El/MzGdCtqQtPTGBuXosofEPAKNkfQkL3S8FcFQZnUz3ngGVJgClkYUYyzW2OLu93ZZ/FB0vY91AXvYv863jTGkGLm73RLj+8Hb9wmqT2ND6TOsJCxZdNxIjmhqRbB1nQU8RUjWokgeL8WUJiyosSAGURicLfWcsFKYxGLRIeBSoDaAJmo/EIdICAOj6HkfcrAPTYpGLQtTSh8V6x3VomFxcUG1XGArV56t9EJmnHEcAaixr9H5th4/ZgLn5TgnK/OOHAAhZGZlTBiT+/ljBIs/M21NEQPtQRx0gvQuK5Y2EWrNc7x1yv2Tq8oiZILnwmIj+DuLWQiL1nKxa5BkYCHwSEjDgFZKbOCbbs+wSehlYHFbk5ySFoGqr4iDY9g7HI5YR7pNi42eZAPD+RZ3Lzni36M7qt6hBwO3z5A0UB8M599UmKcHJAysfi1I22dvhmUZ/3bgrmvi52t05eiCIN0GEzr87g2stkhnsd8a+sUTYmpI7TPS3S2iHW7XMQy5702LnrjIGh7dzQLxe1xliP0SPRdCDWY/UEnER8HUEXmVMGth8S886y8i61eB+h9q1oeIj8quv2AwgrU7nr++5v5mwxbLp33P68ewb4TVH1dZY81ENq9fsI2R3i94NjwhhHv6eOBN/wnnXWCZIH3ZsNs72m6gAxbs8LFn9+pTTAp4e0P//VNcFbB2hw41QZcoNW/SLb3bYn3it+1nONPxaP0bDuv/M1YcF/t7qv5vgEByB5Ypgq4wLLB2h2kHTNuyW645NIbBt1ymJabtqbbf82Sz4WA6tnLHxgUObsGdX/Hk6w4dEiktkC8isaoY7DPqS5/F8m8SPBmQ3QH5QyBenCEmYXRL/GQFw0Dc3iE35xh7jyx3XK0P2PSa+vZbrn97ht18hX/ye/720RJXQ1tHFpsN1q/BPgXOysvXkg0a4bhSPxdX/2vNXP/aaT4P+ueaxzHpg8/Iavqh40fjc3TNM/ywvtg/97L4P1qa1/vYVgMwClfz4DuUT80RdBhdugJHQEXIbl0jUBnKMab8PjJuNhDvYLgnPE+kuyUyPOPrF6/oB+XQOs4+aZE+cnVfEfsBrXr0vKO6r6jaPRevDryJsO8SLyvPxSMhBKXdKr3ruU1CxFN93xNV6CpP+8wTBwtX8NwEogSucOyu/p7bsw1vLl4izQq3Cejqa1zfE4aKbn/BWWxZClyI52X1htZDFTxdfAqi3NRvSHc95nYPeiBPcCC7axsm7S2/KOXzCrgottYN2cVt3B5ZSOfHcpZfAt+D38JzhWoF9wau93BbZ2DjFxGGzHBGlbqGygpqlKAVMTn8tsOtHXa1gLPPwT8rdbZlAgw5L999qdvR7W4En0z5fUHuk78h9wdn5TNGZbwr7cXke8Qe0jYDcbbOQvA/kD4alLI2gzcZcyi6Tao4o5Pxj5hTA6cwlKIrUftGgKroSXWx6FIl6GJWh+8jtKqEVECsQuePZC2vrE1VPhQx1DSS7aUAWJltFVI5Xo8xw47mdD7u6HFVmDkFWMo6MmWGK6ks6ApZbd+AjMLVGYyZ9IRGG3VukWnKUb5Gd6TyW3ZpmzGaTlZkc/Q5Z+dMlh+fpuhuf2VU6r3GlR7L1hiD9w5Dji7gjCUZizFZK0RNBuPEZOBRNCHklVYky9ZPgrNCcbvkRN9D5ajdVbCsqcu1Rah8zmaZoJdSLzEdQ8P3aGG7wfauYnt7T3s40Ld7nLOoKmeXlyxXS+LQIZLZc1XlqasaIdP4fVXhnMNIDnc8CmiPelAPGRNzl7Efm94mX5y6sgkUVo9Ox4uOBr1Ox2SGQAFhYAIQjhTEkvnJZ0unY/T0v7xvBmCc/DQ3tKV0UGN+issecayTsY7l9Fwdr/oAlCrtIsXsohf6w3RNY10GC6WIIJsx6MAclJq559rSl42g1DvTmAd9a++4Mc/bQ3xqnk6BrPnljyDXhLU8wIoeXOk9+Sy/ytv5ffuCD+HR/H6MfeVYn3Nw7OGtphZ9UvknMNX0nuqYLz1qqpXMTsePuZp+e1CeAojOmKcP8ya5/x77j7EsTiKHvlWWx1YmJT/e5oig8yRyKv7/rvQhF8Qfm1QTwzCw3e6OAu8/eM7sGUtW8rgtRTJv1IbK4PPIJBxBaWUGFpYNUTJwe3yiqZ4SghiLWIf6Cokhay1GxYgjucAwWFIMxJQYiJklLIqdxsG8tFXVFfWipmoarHcZ3I8FAJYRyJ3lQilRUqeHn32X6873FcazhoimHFE3hpDdflPCej+xo/+iZIuPgdMimCXlE7NL3xiYZmTNR5OPCworwTmDswm8paqEpZWsbWEluw/sTIlSBLs60PtAWsdc3ijBZ/fzIVg6NRhvCFVCF4qPEE1C6oDZGdQmYjVA06LqiXuH0OGMsmgVexGQoLjrIQePqAWWIYNt0cCdxTzOb5BGKS55ikiPOpAUsbcJbJf7uM5CB5IUm4RARB2wAPFDrs8+ZUZWEEzrUTdkrUmX3S6sCmFhkC5hhghVQhaKqcF3gjV5fjf0juQVYwK+35O6iiieZZOjMhsMMgjeKc5FdBfoY0MnDcQGG+5w/UDqwAZHhRJWDpMCRgOVhUYGKlW6/Qpf3WNsx9CfY+QerwM+LDioY7DCVh1iEpX09PKU2nWs/IEUDWYQ6h5ssiQq1CyzaDkOEYvRHquKpB6jDmwi2QPaLsjBHQNV7wk+Zd2oFElaE7HI3Q4JiWQqxoWBOAj9ymPFYSIYaSEO6P4Ayw04RYjoJbBXzG2ENqBV1uoLb1qkH4g3A+F1h9ncUu9ecXu4wC+Ergmk+IhqcUG9MFlEWEDILjH5cyhRnjzZveSfc/qBjv+/yb3HcWVc3Bv7LZ19P9wehVDMg/2BIxtiNFQdx6iJ/y2f/6f0l6WHLpjj9siIihwHpTA7RsgABZxEYCOVv6cBjAzMZK8CItBFpDIYnxeIt9IwEOlVWa86gg20B1AX0UUg1hEZEi4Gqm1EkmVA2FWGpy4yJMOBuuRYGQT8HqIY9lUFDVhNuG7A1I5kIDmBu5qwFbZyT7QGsUptd4SFEATcFrTPi49rhDdLCFZI6ujjKtuO9gaCIEFAbHkl9Pi8oyi8HQG+jiMQ3HEEruYA78hQK8Dv6MK49JAWxU0wQqdgE5wPsC9zYZ8wXlGbF1BJefyoksXXHrduwC/BjEC/5+ieN7rtjfU4Pksox1Vk0FHKM8TZecWtUxXoIQwZeLE1pAOkLvfjRmfXfn/6aFBqcWYL66IwobIq+XFSl44NeyzSTMA4ogGpRLZBQZNBMZPu1KAu604l2MesQ9WP21r+DgWo0sQQIaktYutaXAIhSp4YpwQDWlwGx5dvtOpKcSqTGPuoUQX5j6QKxuQoeWoyuybltXiRBKIlmp6ceA7NtXuO9pAiKUKKhYmVXRtFAibkcMcjE8eKoDHS77bc3txwc3v3sVV0uuIvM2P+nyhpOgoFD0NAVbCuprKW2joG5zEu5aiNaUCtYFQmzRuJCkSwgqopjJfx4tnCnwAp1clNshyQ66S8n0YMVpRYjBZLBqmsKQJ15Rw3E3HKjC4pDDZLGgZu31yxv70tq+XCo0ePWK5XbM/PEO9wzlJXNcuqxkiOyrU6P6deLpGzNULWIrOVR3V0++IIdsh455wfM279gJX7TiH7EQQp3xNoasZ9koNSKSUc/CmwMDFPhKMBdwJsywQURMZ3/5ifh0Zg1oWaZe+IBk6X1/G+mo79ScqaUqp6dJKaATKjQTmfVoGSNKIhEkMghkCKw+SOi8lln3XhTHbHtJL93AtjCgowZWQCpB6mE7wj5TZ3jJ74dqebsypTvYzPMAL2J4zLB9cfQZ1Zz5WvridHvBfMHAGV/Czvak86i2A6z1863TXPNyNkdazvd1ziJH8jW0tnB82hjGlrZAedgLQzULM87MjGOj53cRMVxVgmMAGO0/IsSD/qDxhG/bpxOzO1ciWlIoY+Ai+5KeR2tGkaGudAR0H08g5/HDb00em9778Ih7bj9vYehiweXs74qOvKOD4qNM7TOJ/7Rs2RKI1RTCxtQMNxjDP2yK7SwjYVQVIW+s+vdkTG6JZ9ix5aiBF8DdYhTcCZGhm6DPoMPW3bMwyBNnSEFEiSwJZ+XDID/vzynLMnj/G+rECq5nlFWf0pISZKE9Gpnh/CryNJVCiM26QwtISuJ/Y9w6ElhJjZZwLGGYy3GHuWGUnmLwxf/wufF5wPwFbzXG6t0JliC2i+hzN5ZvYy5Tn+uUBlMpvqArj2WQj1LMHGQYow9BAM3FvMleHnn1zAImWg6BHQGtgJN8vEYZ/YS2K3goDDa826jiQMBxztQkhdhJfK8PieeCakp8D1AmsS1fIN7qZBW0i6R8eF3T4Q1uuMo8mA+4dbrAjSrJHnB3Qd6TfA8gx7l/CvXmKbb7Gmwt0tqGhz3xvXBBNIVpFlxWK4RsKQ55B+A41g/Gt43WJihb0EnwQax83PN1yEHZVGbn93y/XesWVBdTiw+5khLQS+3kHnCYPjRVMDB3x9YPhFxeKPZ+jOcv033/OFwmoQ/vhdxTA8IoQVf9COamcwB4+2OyINQ12z54Z92BKGli8uDHabx5UGqMSBr9ltGqrVHSsfePbbz3lj77iubrk3T7jsI5dDYv2kx9+ucO2a5Z++wb95Av1zKunozIpkNlS3r/BeWdVC11+itkXPDlRJqHSPsEX3z2GxhMeX8PWvaRYBf2ZJN5FaDE+cwR1eo6sl+vQJDBa5vcffveb6Vw3OPWIRn7P8T/9A0gFdO3x/yO/XssmaZB2410uS7EmPG/q/uWDx/+ugS0TXI+trzJ0lbQ3/4fsBK4alJviV4eJJy6++uIbzAXEGKzW0X+SV5/QCzr8A95jsUvLPOf3TzrHfTuPA+HAbjsyHM45G5ChaPaZINkQPZLbGsuwfDdSBI1PmvhyzghJf8si0+dBM5Kf0zyM9rKORjfgw3ZfjRm2oiiNbDnI725PfzcfAV+R2sAA+J7e7kS0zpj3sI7xasbhasPh2T/PbP7Azf4dWd+jqO66MRY2SqoT75RqGiG7B/2LAvQH+CEa/YFjuaS9e4L9tCVzQV5/id55NuuEpX7EQ4VprXrVrLuNrmtRS0/Jt/zl9M6CbVzz57r9y1iy5/xncx3ukbfniTvjmb8D5li+uv+N1XRNUaYaBiz7RGsNOMjTjkrBpLd6fY6pnoJ9BKiwhs2eM4pvTNUd3xkMpxx3wmvy+nZcyG/W5xnf0Cg7bLJS+XsN5ncfzdAaP7iF0heh0yGzrytObwMBAcC1LW7FsLEOssZ9fYr68BAn5uhxK/V2U+rwqeTUln3uOk5VPy3EtR3DysrSTK46ufj1EB28OcNPCxXXBuQXOHpf501+RKSWLsmJRJuNlL3PDSUe3K4WiX1qYF8U4hqMhbiQLhKviklApZLFr4SwcRSCHqAxR6VMiFCH1XpU+5Ch/fYK+uP51mvclze5AQ8osqWGk5ZcV3FgAjZFVpeVesbyvSnGTE7DFrW704NGZfpdIFm02oieG1dzbZ7Lz50buBBpko8cik6E1ulXVtWfZ1Cyrh6E535/ecqdjwgd+dHrobvIQAHkrZPnsnkbGiHJZVNiLxYnFFve8zFSxpOIaklfsTQExlRDjhHeMgIM+yMvcWD4iIzCGak/FuB0RdGfAqpQIW4UdIJmlBcdV8KQZQNQhQgDphWAd1hisM9ykK/b3W3a3d1SrBVVVsVwuMWdn1HVN3Ywi6QZNiq2yDplx7sjEmUVclLGS8gOesMBOSvw97Kr37ku51ESLAQYn7ABJY+cwgxcKgDJrsLP9OiOnjMCSTuDV+AhSSnN8nvx7Ks+UCjiRD54iLk7g1gwoSwWkKu5JI9NxjK41j0aW75VQjYS+J4VIDOX5bA5JP4JZQsJZN2NLjfWQQasxcpcWpMjI/D3SGQAzOetlMHXS7TqdGE4czfG/WedQJKGn3/R4YNmlZF2u2SUfzjvn1z5JegSCpv7pbTWrU6zqiBzN3+fjwaeubzI+7yxv8q57zLJ+unfOgGIqnjQyIsc+5EHZ63T2eM0pNEaOmjadWRiZmLL/2KdlsGxsQ+M107GsR5BVMuJkTHZVF02opuwRKxlMyH35qVrVQ82sh+5389/edc7DNAEsmt2Dm0XDk6ePciCG7uSIH7zWmKwoXhSfIjEGUooIWcw8u1hLBvMEJJkjy3TSVpuBdkoOLKB58YUQcp1MoH9ZaHCusJGgSz37pNl1XyGV8X/skUQMm9WSi8sLNpeXuU+d3Iml9Gelvy6VOLq/nrSrUs75uBI+OeV6JAQsijiL22T3oakNGMksJDO6I/yZg+mYUsr9TmXgi1KaCvR9zngSEFcalIEv0nGuaofMRqp8FkuPZEaSG/IszhlQyQHQnqfMorcCdQ3bBI2ij2DVeRYhcv55INwu0QCqFkeWSjgQ0V1DXAa6Rx3DTdZ+dJVwO0RiUmTwdK3J4OGzQNSIBMEfLMMhg0mc74Eqa1NtB8KbhtSDXQyY6zukVeK6gqVHcQTvME0DyRG256Snd+hSiX4Nr2tMGDCfdMTlArUGN2RdTkmBEHt2jy+hanDfJ7rLGtnAk6fC+g891bpjaBo2V4FKgK7izaN7DpWi16V1Dhb5wyN2246tBGrzOe3rN4R2z/B5QK5uqbZ7VBPGDIgkqmqHC0Bw9N/2nB0STRBWPuv5D3WgP/+Ou52j31ucvkQOkZCWXKmlLe9snXaEc8t2aXnyEt6099yw41f/Y0369EtqN/Ds/BG3puem35M+7QjJEpNF/S3oEvQpvbvG3jv8TY257giPAv3S0T3+hKpvWVzvkPsG9YG0+A550qAVqLsh1hvE1Ui14Oz7iPT3mF5JC4cMFRwG0vqQbZJrwd7dIoeESMCuPKYNmP+0J4YAjWLOa7SvicExqMMeDNIMtJd3+D9FdleWP+2FsFzhfMXSL3j8vMM3DVSfgH3EUX9k6s3/svfvHyXNR6Kxf5gP0n8NsEbJBmEetbLReij7Go6Mh/lIq+SOY0dGtseOZA3alnOXHA2PDnQM4b7iCEqRry8rjmLGFW+LGf8ESP3zTu+YH1JzbL9jhDXD8b1LZOCkIgMno1ttJIecG3WE6vLb6L43susSuY2tgQXUGzg/wz7a06wq1vYzbp+8JJoWSUK6SdBWsF+iQ8K2YG5qDivHUEfuPu8Z2hfUfWR5Ba+fCdrtWF5/RXQNzvTUUXjhHAdRat0jLx7TAjeLAdIbXBUZvPLmV4bzzxq+YIX6yL21dHzG8L0l0XNVXbM3HpciN7HlwDP62tFddPT7O1xI1ENE7/eYu5tcDlpc3dIhj+kaoVqS2Z4DmDcFGBld4rbk9/CKY9/hyIN3yt9VKEHx9tlFLwC+LeCHwP0e7iO02b6ybURUqRc5gMqgwmLhMWcb5Py81PfYX1yTgamGDFzfksGosS8Z3/WOI4B2X44ZgcpR7N7k65gEF8uspeUfk8XZ91mUXeag9/vTx4NSzswQjjxAaNGhKVPOAqoU43ckSYiU48p5IhONamI9FJ8LGem70UyGQoyamVRRiGoImgXThzDqUSl9NISkGZRKUthPo/teprINaSSomRLhJ4NVR8aUITAXWC/PKjK5gQGkkUVxtMBn5oDOjObxiWW8TNmXXaSmtQU5FolBMZo/zlhWdcNq0XxsFc1rawILxvp5qBvzQ+nPC389H4yz2DQpZX0Sykfy89sJjMpC9Ha0SMncEZUiVi7FrNeZw9bMrSfndXzq+cTgKAsz6nBl96NYokQxAQ65DubuZpqjCI0Gd9QcmTEZ2pgY2pb+cKBul9R1RWg7bFKaZYPqClvXxSDOIsFiJEd9G/M+ggha/h7BmwmU+oFinoGb5cEZK1lKgcywEyaDXssz6SgiP5ZXmhpIwUFKeZnZXEuLgPzsGmNpTWDXLIvIdHy+firAEWU/OapEGjVeju/QJNiTUo4yNV17fFlkAkh07D8KKKV9SwpFC0ZMbnXGFEBKT965+XxqDiTPfzJ63DcBbczAptKlnfaNs/ZZkDyZ7Z4fMTJPcuQ4OWUucXrO/O/TP08BieOPM5BiBpq8kzQ1f4SHt5kB1JM78FtH6ul5J/eQ0zKarjdu6vEUPSmSsn8Mq6HH/MvshBndeOqay8bUbDjme3ROPHFRnPUhp8Ba/sGIZFdqjSWq6njd8ak//NK+S4Pvh/7+wMWwzrJcLj4odP6+yIWU3BrJY47ThNEEKSKimHSMYJpZwflaZuqvZlFQSz+QWdQlEt94T5uBkryQVQKClE4363uNTLY8xhqb5wqaB1Gss2zONqw2G5r1qvw+MgzzvY3mPmKcMERTrjE2ojGfKY9HmsZ+qPRJAmJN+TgowPTYblSYdCr/7BWeMRktzH7J8/h5IaRyMyt5O0q2A+4lTz6d5sh0zmSB9EGKpEfZ35h8XiV53hdiruBKoLFQJ+Q8UXXFsDUGtC52Z55zDZrwCiZ5YmVpz4Wwz+N0ZQVbd4SgIJ6DM2iVcGfK0GfwzLZCCAlMcb3QRR43+4DVOmu5dxE9dJmNvsgsdE1ZAyN5iyZLFNBRa7fPLhPqgFXIrn9lIVOMgk2oDqQqIV6x1ynrjjpDta5ovFAbiNYivcHGrBFn3YCtI97VBE1Zz+zWMDhlqBOL1jEER58c6hVrWqzpSFWuG0mCcwFLh02RuI2YwWKTMOyEFAJIZPB7WlnQJajDgPSGFBw7k6b4RZZAMoneKu2dsI/KTiKyGZCmQ2zHygoHq6gPBJdIvYVeMLEn0QAOHQwcLGyzWx8B0kGIzVMYInbv0N4ico+wQxebQpqJkPry/lbUuz3aDehwQM9TBt4NJKd50r1TXIiIJFKTMMYjIWH2fQ7WaQxqHXjQKMTBY7uAmo6ge+wddK1wZSKhDnjXMPiAN/dU64SsPVUzYF2PtW0ZhAVkdBs7HXNOAeMPTXTT7JgfOSH+qKSzzxyw0Xf8rhyfZQR/hNPnG/NcQrWPgw6Ro3hwIBv+4y3GDgWQUXS6A91zFDAeWS8B1IIakBa0HC/KEVhQYEV+ASuygT26J/1jlOFP6Z8uzd+DucuWzD7j4nWp76l9LTgCTyOYFclAy3jNQ96vxcXPWmiq3G8bAVNjNjdUISJ7oevILnPRYw4Be0jUByG2CwYZOLiAswGnYA+e4YkgJuF0R6wCUbJH1VYNycDCDaTdmt4J+6WwDIfs8hYM27qhq9cszSWILcHQPOwqooV9DcFDSobdUDFohYrDOUVsAh3oTEI0YNIA7DNTOUUgZBc7I2QAWMs7tZvsAdByrAIDSMqd7CgWP82hKpAIobCQgkIKTFHnulReZQGT8hRDBWN9XrgwDrOukPUK6hVHTaixvmZgpFL25bHr2I+NAPVZ2R7B8LGeC7g5GlG1ZIo7Z+WQ0VNtdGn8cPr48AghzYCOknkZp/ZS3BikrKJKec5iQLpjB31kNpTLjNah6JFVNdnKOQKPUy2erWaqT43kULcxu3ilqMSghGQy62lmZMBRRP0Qj2LqhwSBHPGvS8p+jAKYADFkxtSYHZmGh0Rx9yuT32lyPc1ZRwNQUHN8VGOOL7sxR60aW4rJk+eelWYXik8fXXD99MlHV9GUHo4VP2wz/WD6IYNJKAyHYjQYFA2B0HZlLp2j5qUiMI0RnAiYHJUQmycWmrKBokVXCrEkzRH2RgBjhgQwvfCqk1sUkA3HAsYIZXGchBotAGBmZxnJLm1qjp2yFCRCpLzgZfU/hNw+RgDJiGCtxVeOb5usebI533D55Ambsw2Pnz3m4tEjqrrGeY/1Dmtz5L7jK5DfmzFy4/gPjmAaQCod2NG2PzIQJxci0gngMAdHj/OilA1JhTEkQe4gdYbipYkFNTfGNMWJbXWMUHdkrUkBoE71WmYstwJoTdcMkRRDdhWS8X0o/UgBNEnZ4MyefbOOb2JXMf2dUoTYY9Kx3g0WIwmjNUZtZo0V7bLchCb0fLoUlHnwQ5Rmeq7RlB59IWfH5DfhnaedTIULIvOWsPlbr9lxh8wz+I5jHlb1CRA1v/efmeZTlQ8flXvAH+pyROY51JPynkMtOv4vHN9/srbJJGJe9hnJbEgdr/+g38rMwalpTrlN0xWYQBQtDD/R3Fc1TjJIWgDmaW6R+MFnHZ/3h9KHQKQxJQG1gq38e9rDD9yDceqpOBRfgKmYIqJxChIxakXmWxxZhWptkZoq70xpFVJ0AqebjHmLEekPGI0YIpICJg7UBmxlSTaDEEnH6YjBVzW+abj44nOqR0+wq3UONlOuaVSxscPEAR36qe9SYwi+IpqR2S2zNkMG2l2ROX8Hm+3I2swgWmYu57//wiEUzjXbhTsDL1qy+JDNbg3e5YlcrVkjolP4bMgsreSzpsQ4578kg0rDUQ6BqHkmPepLrfY5VPQmwZMmg1wpwUUq2lZNAcDIc7Vdj4uwTj4b/8awMcvsFpAEnOXyaWGMhRqGUDpY4bBL9E3gsGyxZQKaWNFeV/Q2sv9lz4XU2F5JLw/sOkdfQfdsoP5eYIh0VU83LFAJVNUdcedhC/bme+LfeXQJYddTxwO+V9zrxLZeEL3Bpchqe4VtKlg/IhEwQ00ffsHq/pzz+wUCvPLPwFpW+9+Q3tQ0dc2jxzWv4pa2PzDsd8hn57ilZ/mff8/dL87p1o/wv9viuw4jgfbnBrnysM1ttV7ds7QJ2Ve84YyQGriDJ1yzMVv2Vw0I1PUIPBxQEjepwWvPqJhkXh9I3yf+Q/OYTXzCpzzn8z8Ji1/V9O4Ny7uviYPlxipdtCzEs8Tjbg2dv6fze1ZfrTLTIA7w93e468Ty90rzdwMyCKkVSGtEOoyFftQs6Q325k+YbYO5PYOnO9hYqBfod9/BsofPAkkXyM0Bd3eD9mvSo4r0Cwf/sMR4wT0LuFf3pE4ZXgXML/cgNX7v8dyAdsSrlkET3aD0v+2p7A1OK4a04Zv/eIClo3qc+Pm/fMLZo0vOL38GCwPWk1f1zzmKnw/l23PaQ76vTxzr4OO9Dz4+CUeWSIQCFB6NfOUIIo3A0Jqc9+84GmxnHI1GyB3GGPVqZFbI7Pc7srvNWTlmx9EVb0zXZBbEbfn7CbkT+SPEGtIS3C2kFaSLLKgjowvWHegC9AzMv5w95zQC/pT+u01zofOKI/sukcGRBfCc3Kauye3mvmyvyO/iOfBrclt+DPym7HtUtvflPg24FupE/G7J/X3g+/olF6unLG92LN9c8ce6zm9ovYdvYRkGzvrA+s3PuOp7vroXPjWP6FDe0PIvvxY61/PdYkf3WGibyJWH6ivY1MKTZ8Jvvv+G3q2xl5/huoa4jfBN4O43X3BnP6f7xadU4f/N43DPZ/yJ/5LW7G1i8Afss57EgrubT6n3N6yS5enNYxYtbN2e3zy6xl5W+E0NKNz0OZKbKKwU6hbcd/nZNUHYgV0X8OkAQwWpyXVQXWc2NC35Xa5BL4pHxwDuVWYhHXr4eiga5AJ9kyeyNsFii/EFuD+HRV9nkfX/8VPYnJXr/rLU5xhZ75bM1KrIE7El2JFJOYLShek2goysSl1T2srflGvckl39EkdQ25f7NhwBrg+njwelzlfZsg95JbRMQzl2jkoaUg6vXAwuSWXFORbWC4KM4spljjROa/MstwwshQlhrJ3BO8XwLkAGZCaGjSn7nqbs51knU9gT5VOYFDGZDD7FIpKuQqcZaBxU2auyiprDUicliWGMJBgmuzNrzihZE6rVUcC92M9kN8AM0o1rHHmdfzR2pAAqUvy6Zf5YophCp+1D4OL8nGdPHuOFydD6UJoiEiXNboYUQ2hEDf6C9KFV95M8oBO4oCkSQ09mJyWMKFZy5LwswllAOzMCKwZMEWkjs85S0iw8aiiGY1nx1qIAJjLDJ8pAWb4mtzWO7AdNmR2nknXDjGRdK5MEU9wxsxE6ggCKjkL2+c8JezAAKRJ7hRjo2gNxe093fcP1suHm+zPW52dUdUPTNCzXK+qqomkajJu59U26RnYCpCYxYYEpqiFawBoegDJH43oCmKSYiiJTRMgx8qPApDMFZMNrxiIZn3N0c5rKsABaJy6dI4BEZvhNzIkZE2vkuE1wwniNWAACMgNxbD9pxh6T8h4fQbKiNRXiEYQZAaQRyJIM+lrnJi0wS8puSQLWmLK/lF2meZT7y7ENTYCTTGU13n90Hco/yREnKwY8MitLRoDQTGzJ8aWfWtZb76i8Y+udPzNV/ayuxvTQ6egEuHpwT3lwrJLfIZkf+94uYGqER0bV/OA5SHFseG+55MGRnZZBqDFKpE6g1cjUG4GF8X5THzuCJykVnTcmdtMxR7NrkZccxp7aipJDn+eFGGsUldy29l1LH4YTUOpd6aFb3p/HPH13CjEyDJGuG2bXPXURnHSy3gKtjvWS34mITQM2DBCG0jeYqb2OiydSFo3mA9YYtVNk5o58fOhjH+RcXpiKNdIscQX01hhypM3C0ppagbUY5xFf4c7OoVqSnEd0HnQgoc6TrEGdHzuBQiYw07g3b3aq80WveUsY28AYy/X4CIpk4XV5z3v4Y9KqLvZkBOvKtpaoNJonnV0Bm5LAi3LTOubFyF7zPO+lz3PEC4UXZUBaCWw6OBi4NfBUwVtwPoNcTmBVwUFALFQOPhNoE9wHuKiRoMVVsCyzacpAmkuwCfCyytpUnWSdK1W0TVTPFB+E5qbKOn0q6KDcrzxLqXhuF3RJUB+xlzXnsQZviBcmBxBvI/fbHeshP3ZnB/qQ50du1RFbj0aDDIlgzohiMI/v0FaxKG7T0K0axBiq3T3NtaFqBd1cs75s2HzxiO6i4bzLq/L3qcE9ckjlePVqw1I7zpLyhk9phztSd8+urhiGhnSogS3ROSIVwzePMittI/AGXtgrrN3SPU0k2WNSh3shdCRiAT9Ms4S6pmtu0FuP3yc+e3pLfxcI95GVCK0xtHWFj5bW3fJ6saf92d8QzhsiS14/WmFe3fPpzS0DjtDvCG3CXC1w/kBq9pjlBlYWNZ64qyAqdiGIXCJpQPqs85IWjwmPLpFvXiIeZLWG/WOk32PcCw7PP8eGFn/3PfHLRGiWhGaJ5YAdDNQ1+uU+2zGdw6WBNBi6vUFWLr9v1uJftKgODLT0NmZWg4F0u84RcW1CsERq9loTL16Ah35f8/2v33BTNSyar1k+9fjKUYtn9fhT7KKBpSnzHJM167ggu4dUZKbBQG7MiTwKLsmr/w44B70iz9zPQHoyS2hPNqLGEPfXZOOMfA6ObNAtyFZhy9EFassR7Lor1y3H6a7c64Ks6TKyl0bx8HXOAwG4B+3IoNWifHfkCF2jO82i/D3ecwTDUsnjMuddR0bTGDFttNVGl6EdmAPIfd4e7uFwUyJklb5npSADyB54w9F178/x4Pgp/dMn5ciGGbXEwuwzCpFr2XbkdjWmgVzf57N9pb0LoCNNY1+Obcp1X3N08yrvVNpCuKNd3XKwPd3BUv+xpa8Hbj+H9cFzkMSdD8hyyWHnSFcdlf0OHDSNctVvSdSIrBBekBaW4dkli4NFb1tiuGPYb9gdBuz+jsc9tEvhdhCG1xEZOuq6pb78E345YPaRYbUjXIAL55iUsAn80CBvhColzg9veL3quE+O7u6en7PGREe1rUhVJFY9tAF80WAbDnmM8AY6m13whLwINNH8N9n1foxwaKSU3Qj8teQofqvy/QX413m+8LNnIJu8oPCsy+WqA9gaGQ55IX/pIFVgFnD+tzNi0Cty/7Ca1bMDHoFpS98z1ltN7u8g91/3Zd+6tKVlaTsjI3MUSd+Cbkt/W5drjVpZPxy44uNBKefyZCMxRb7JVstIBSqh3MtcBjNzlYnFIFAtVOBs/GcXv2LNjW4ICmqL0Wx1WhnNLnOamVijcT1NMk0x1AVScQNM6fi+cHQdMyiD5Kh/JuXJti12vBPJHkNJiWImBtSgIw4guKIHFIrBPEYJ1DJGBjka31m3au6mUCbJs2X6At8cP5INpBADy8WS882G2lpaPYIoD9Op7tN0F0Y3h7Fc80EfXeNTmodO/zHGVdJESiG7WaCT5pmRyYOzrMjnb5VygBawSg2M4FNBgbL7mMzMiBnQMTO5R7bW9AwcjfW5QR51ZmyZojc1gQvjiRN6ehR7lhGoAWJ26UkB+q4jdh3d3jMcdmxvb6kKEHV2fs5iueRss8FVHusstqr+/+z9yc80S5beif2Ombl7DO/0jXfIm3OximSz2GRDlBqSWr0Q0AIEbbXRUhsB+iP0V2ipndYtNgRIUEMttsAWyW41JRZLVSyyKrMy8873G94xInwys6PFMfOI98ubeW9lZgG9KP8Q3xuDh4e7TW7nsed5jnljOIc4y1RYcRGpYJJzC2RyTC7AI1aN9bUFOVkOUK9FKhK1BJRHsKEa1Bto6o6B3wI+l8NVIKagyRUUoAIHmDDKKUez7GPKwSK9sXbBUsYVrLZw0IaObCBsPkoGpYBO1cRa47yAZvmEquLAwD5xeG/G5s67hY3onKW0dwWYWgJpORboI+CijjsL7Feg0Xfef9StyjVXAOrr/55u70JBj+v1l7ZaIY+QKClxdukZp6zTd/rBoxdVi/wrxoUqw1x+bvnO8RgLE0x4Bwh5DAEt/a+c09J+3/kr75bH4td1vL7T67ZjvgPA6OnVlnayfKeMl3oEwOUUaDwZXbT4VdWRJqVUMnaebr9+TPyryPS+zRhrDOFESlUqp7/yO18HTNVXHsVrRnKyR6r+Zkr1y7LB4wjKvzuimj9eZVGdHL0kFkCK95i31VhvF1nA/8qGVKAyksR84HwAH0jtiiwB5Zi91E6kyPQQmx8VFqYZ3BfJeq5nLMdTrmPnabut9+PjneYEBDepc9ZM1m826fy1mwvmrdBkA4lqYQZvgJSmRVVDxqR7ncJKjZ5fk8vsg01OtxwnGhMWTCa15/Vmm8VYVxmbmE5lvtSKMapiuTl4dywfV9pV1mPGwCaBtHYP8dh7avO4EKyNNK0a2FXmQ/NGEPVsCTxIIjvwXctGG0skgmfXJiQpgzerLQRCWbxSUVyb0ChodMTkyK4hBce89bhJcUnxLhCzSUUlRxwemWfi/Z71tuH8ucnsu3hHkyYa19B4K/zh0LDC0eK4cR1pslnD7L01pZTR1pNnj8aA7ltoAhIcIY2MMZBCg+sc4iIuRbwXUsmWB8kY2d5xcMYCFyd0zWyT9pxpXMPYNOS2ZX0QBpcY/Ey8gLQSkofBdYjes0k9E2v6CHMsdg8xEYYZCWqMwwByb+whWStuDBCLdFYzSEcOLeK/QEJEQkbdGtoZ2khuV4haxjW93JB9R84djt5GQg3kp8FA3odkXnLiyTmYrYg4PAG5tgy2up7JIeO8oo3A5CxrVTCmpyJESUg8IF4hRfphZBJP73vGvafrHJ0PyDDSXmwITzvEeyR4hNY6jKzBrzDgZ8YkawlrsJVVVYOt6p9kkmx73nNkOnUYeFN9ciogdM8xRfopQLXjmEXr3jqmjlgQVkGpFgO/ajAay/DkMG1rvUNVaV4db3Lp4F15nJqVlxBOCwtMihwPKcev4FYdbGpZVElOeX/qYZxgGq0Pi7dH1W4CRz+hCmK8e8/5DYKLv9n+Gjd951Hb12k0erpV4KoCB5URV8FNWIKTpS3MHBmBE8dMfGP5fvUnqn8jmQPZRaJr8HshtY75PLCenMn8PcjWE6Ml/urTbJwu74irgZwEYsfQzYwrJbWCHASJgTyvUQ3EGOmnzFlnXsbaK6E38FnXIy33BN0Q8xOyS6QgTAS0jcgkuDuPnyY6Eudu5EGUgzp2UZk2M7hImG1hSSv1PpQ+ncrrJXFTkfKJL/MTteduKl2mAjcVUN5bzLmwigqY44pnU7PGWE4tXFbj8hG4gHmwPt+U32CFAYr1eIdSnyVj3vJcSgxUxxzhcaZN4QhQUn5PyusDRylnHd/KGKNlDMm9jXH5m+dQ3x6U2kejGM1KnE+8bzzLquQ0O6akTIUh5cV8OBqkzHEs6PTOMC4PhQVBmfAVw+kyQRSXl75QKfji7Ziuxtcn2m2blFqQnbOSE8t5KtVHCuacmTIMyZhTCau/pgIfTk5JVoxylPkJBrx5nCW/FFvkzGWO2XHs8rkE3hllUpgpEkCR4uFRgBB1SPbmVeAcmh3TNHCx2fD86gnvXWz58uHAfo44/1fIAPTLMelvtX0bQKr6RIkUn695xmUrI1/BBhScEp2anE6gEctuldSMfDXbvrVc8xIXl7oWX0LGXMpZHsndllKSE4+Yk9N/FN+UtpVzZVk4Ax2xc4OlZVpbqSBPOYZf6FOlPeZE7BMP+57b9NrAIee4ePaUi6tLvvPRR3Rdiw+e0PjFAN07b2ypko3Re1fAFW+DVA2mS8AnPlCcX4wNVDLHSblJGKssLUGX5lgAHLUBQlmCtFq3Vo5287JMgRYsihPqr4Eu+7iSyc5kPQFcyQrgXGFmiWnJq7m71rEjWz8t/czVM1Ylx0icZ7KmEzAxF2yrHDsrmhI5Jbum8n7TtISmoWlbZG2MNO89oWmQ0CC+sQGoGJ0vzeSkQo8xfIlc62upN+jq+yUWHC+VfzzG4n2zBOqPgRp7dSK3lEd/Hm0LuFzZQCeMlEdHPfmZ2t6P/mAn7fPrtq8Du5cnx6C9ypvkdI+T+c3pUWo2u7rTo2d6PMf6TX2UVs/a6buZ/U6vU6oPmpz4i1EPUWWi9dg2kORHZ5ELK6o8Jy2LJxXidlJHHWNlNOXvUotS2+df7/YIrErJJHHJbvBL9XyrLS9n70UIKD5HJMVl8mTG/RkkkNUYz87L0mcNcKryVeHUPsUVIEpFbHxyxnJV8SadE2eAjKv3ayn19Rj2qkMTHDOSLveziipx5DVZkhRsrKmAijv9klAzMh5bgZYfymXRpIr0FXImJZPwjePAfhjpx5HfQEx/3PbBQKERk+xRJqpbzCNqcLAzk3jqOJ28eUncUhIhKYyjzf0eHDzzFg//RYbOGbLTObgJBi65HnZrY0T1A6w7k/XdT5QJjY2D987AsrMEUwEnG4GdGHPrLbCOcCFl4TOa0brv4IsSpKwTbDw4j6zhbD3CFJFD4jx4Y4c1LfhEGjLDx5lR94wuEdfC+YVjLUK7X7FbZSaXSNnRjI5pCnxx2HKmI6zh/rLF6QE/Ks0XAW32SOvYnF0wvuwZwkj4rOd7H7b8kDP+Hmt+MY/cD8r3p4npc0WJvM9IIjO6iGs/Q26foPkSuq9A3qIBpg9e4D9vcAelW32F658SDi3P+ZjX/RV30/voaiD0I2EycCDELT51jKs3XOxvWD9kboYzAhMrJm5+colvenw30/OE/llHfNLwt17PvHp4ws3uBcJIbm+I3RvCFyvmFIhPE9f5gB6egbuEH/wJ/j4idw6mAynOaDfQpjPSZiZuBpqf3qONkp8p7vYa3QXc24b9j6GhZz3vyd/7AeKeoGGD/3wCnxivVkj7XcKup339CmRA7gf87sDUfA+XBsL0FZI80gbcuYFwTC08rJgOV+j5jH4w0n0VyU4ZL5Xmk3tk7GC+Qto78HvE39D+/IqwyoT3H2BYk7Nj5IHxy4HslWnd8HSeuTi/4uUffMjqwzVhk/GrAYbPjJnw3IO/YmEHSTIgKO4hrLF06BWsmrGG/V2OUqQCXkkH+hLrrG85yk9mDGSqUpu6+n/GEUg6YB22AmJn5Xw+xaQsG2BdAKMB9FMsQ8E5R6kLGEh2hQ0QZ+X8NuV8vlPOu2bIOnAExRrgB+X3voR0aSwImTDZ3mD7x2DnqDN8jj1vMjw5M3akpHJO6/K773H0lCnEhGW1Cv4GlPrv2lYnQJVNN3EEiN5lrJzOC8+x9nSHtb/aVyq4qWWfCuI+4QhyVtnn3Tu/tYUwQnfO5vU9XY64jy7I+w3bs4GLLvBJfyBGZSWOcTvTTBNnw8jn4w/Bj7TtNS9+78DhbuL65yM/+55H40T+/BMeNoKcX+FWH9J+9jkyz0yy4csPG3LfwmcDL+WGcTXx2bly+bHQrjxf/kPB7VrmG+En7Jm+/wwdW8ZXjqvnn9BtZ1gLH/4E9oeOT/0zdj/8BGGEnzf4scHHFtYnmeWaM7hx0ER4bwdTsHtocDCM1t/CCF0Dfs1RClf70lOO40xNZDCUunha6iqUx5mVLQfAQ/MHGArx8+P5cM8RzH5evpfK8S/L+59yBJyfYZOK+nlnx17knfelvutY9ZrjGPAVxkp9AqkHtwN5A4cIg4cxwPv82u1bg1J3e0/Otno0qSyYK7lOGYXkMrnKonA26XUwl0BOMJaEE5il+L6UQCQt3i7VD0bQBBrteCapq0BBpvXF88JB4+rKa1Xs6TJRzyomyUOLobkePae0DquKpromfhpG2dbiaMS8NJImkhjAZfmc7LcXolb5ls2JhYStFDfl3E3idxzQ9dRUJlvGNk0ZjZFmvWbTrbjYdLw5DIsk3oqphEVfE0yy1IjFAIuSil8Gln6Vz8lpEPStZHuFxeXFEcQRUybGSIwJpxmvauBkvQAtYG6p6yxHwKcu8GaRZdH4dMjU5aHLCwMAXJH7lECxSH5++fxrHWmtQasvZw0iVy+Z464l/FELuhQQq38HZNHld10NmIRixFvPITPc3+Jz5G7d8fzlC4JvSfNMzMZMaNsWv1rhvdCEwpoTXRhfUsvHCeLlRFrjDIivhvw1hlMATzVGUzKuyEZE2xrXLaDKIh1cLrpk3iqgmnOexfeptJHTY4j4hTGhHIdE8YtOjrpyoJosRdGSZe8o/QOT2OEcOcaS8cz6qC9MKTTZqoFYQCrOgfeEtiG0Lb5rkNYAKHHGmhLvFtmiqOJqkLqASXKM7t/tFifAIyfjVgUllnZdS1LLMU7YVAVZsr61MMgcUoC8R8kIBGq0vwBJUkClyly0Rnw89QqSyPEgUurTsBV/8mFtU/q1c8pfwuI0oxVEU+CROf4Jk60CTno8Tv21XwLQ6gB8wlLSBU2r9SBLEVbWj5yCEdTvl/E/H4+VT8CHktICR2G8LOy+I/PNgG/7ruMI9rgCcDnVAgHb9RsAY9y506bz227fxJbKOZOzAbJ1nHpcq79qO7ZXeKdJawGac/EEdIIZn5ukOGW1Ra8FEK0TKC2MZQwoNzri8vwIyh7LlpP70dGfbRm1j+2u/id2su/2MVsJ9IWsaTd/G5qLL6BmcipLFzkv1+tDsFpXA7Zr5c+HnmnomfqBm/sDd/ueu/3AZ29uuOsHdsPA/+5//WsL+Ndv9xEOuTDiA2Rvj1uBVYS1lox6UphMGIjVOxgbA4XCBBddWbxWmKKVYYfJ86LCQ4b7bDd/H+xGG9QkT4xwcHAdLIivq6OX0VhZXouEUCA7A6kQyA0MszGraIBsbC03wWUBAiXA/WzgpgZkKmy7M0Xu1GSBF7awiYD6TNc6Oic8cY7DYaLPSsyZZgIvgTFuGA6OWWe2mz1+3iI5cPVlZJ+V1GSm85HkEw5PHhLdg5Vd0h7RS1ou+NG64f468TpNvH2SGQcLFJ7MbwlPJtxKGeOINvd2fTcQ9oG297xMG+7mPUNrUq5VvKFNnms+YKTBZWX99g7VC7JeEbUnPlnhNg3ujfCA5+A98twzrhzJO+InAUlbRBLuOzvcsKP9Ofw8AM8Cm23Hw7/5MePzc9wPNjxJbznshPTwnCfrV8ThQBocowju4An3MIV78+8MSnJvkHuHex3QsSGHlhxa/Nk1vouI7OGt4PcJf9+jTz4z5hGOcH+FeEGSI16+sn4VW4svQib/oCd88QYRD1yiZ4ONwdcTya8Rp/j1Ncm1sIpI6hk7MzgOfSY9V8gT4iL57VgNP4ntjtQ4prmDfjTvt8sO/4WAZMJqJPbX9NJz+zDyMvwQF1oDWwlmNHwNbLJJVzsFOusHS3K6GZPlVYbThqNnU5H4acZYVnXWec4xMHuJBWUV4Mnl/fpcyz71RpmxwM1b31tALG+/RSzHqx4+NdCs+oqmjHOVJeWwQLGOkivQc2y2VeckGehBtyAfgL4uN+AOuMMWJGfwVd6o8KIxkDqnQoxYgbRYILw6uf532RPw+O7+226V0VF9w2o5nt7l/mb7dttpmdX6qrK9Wrb1/do2A9YfPNbu63d6rJ1WIOqeulB8ZORNGJgRsOx8b8tx2pNz8eT2KbpSiHter7/g8jDz9Ocz54cZUVssmz6DMbbcyCXu/besyVzMjptBYZp4Kon0JjOvVwzPntPc3KA7R9KJl8PElDOvtOWD+4GYZm7amVfzBRoj3f6A/zDRtT3PDrfkwTHgkCcDZ/0bI1T8wDF0l4wh8IAj53tigsQt+uqKhonL8S0NA8gAzLBPdv9tgTwVRVmxLohi9+RNMGa0NLaAT8KAnMtS/mMp95odr0a/q5NyrH5PlYnWULKblLpWjgOelO8WIHphigaO/k+JozzZl+NcclxtTBwB9yrdu+YIjG05epONML5F+wfm18ru1R0Pr2+5fn0gzS05tfzP/v6vb7XfGpS67Q3gyQiTFFouLBcuUKR29q7DFZa3SecWRdDJCvgxCD36BNmqpXBcxBRyziR15DKAOsxmwTur3+ROik9PVuRtnmqyOj0ytcpi/8Jap6yyxhrqnAZ1clxwFbH5VNJCfMvluUgBqY5YY/1dpwawoOYilU7OUZfPyoRZ8/IgJ4IIrfesm2BBOvxS8PNYulfLuAAJhbUUqf4i37a2f/NNym+nnJlTZo4RhxqjjKK0KA+vx0DavqxLOVvwqQv4qcKi4snleaaACyfHPD0PffTk+L61rdoISshaA7QTIM4hZT2oBnOlvMvvL4ESp8DXqZdLDZDLJ9NE6nvG3QP5yYUFH9U7ymnx3TKvLV/Gkyqzk+p3VRhRxqiSJfBzS8FxbLAV1HDlvMACxhokOqjsm2OwfyyDRWYjR/DLZHZHsOoIYZWgcmEwWD+vQsolOK3o8QLM2nPN2XyoVBcWiEmKItWcXWNCUl7eF1Fwhc0SBAkO13h8MBAKJ5ZCvvhHiVQZVmWL1UHpeF5L1i7hpOno0obqePXuY+ladWA57nzyvPxOcZLSYvi/VFWRrh7nEq7sW5G0E1ZWGSNP0wPKaRs4/ekKgKlb6rued5VPS434Zfmp4zWfjIfHznTaCetv1z5VvMBqaT063nEcqmdwWlSnnj6PfnzpUxQgxoC9I0hWzrvSo/QouatSrFr3R4P/0g7qORQwqN7Rqhua8QUftwGrzkdn+http9f0ze/LUn8m4av0+uVLj28OJ8f52l30eC+sLEWlNMMThHQpIRuIFvbo8lZ5VlmMFRxfPOdOwOvHUszTo1tJHzmAJ+3s5Auy/F/qqlLkk2Xc1CK1QzMpZmNSpsQ0z0u9hsbbIlfK5BRtlMyZ4f6O/W7PYbfny5sH3j4ceHN/4Bevb7jvRw7jxG+z6X0mH5TcK6H1SBI0CvMhI2cGpLmE+TKJJ4rd23wGYkCjotGDhmNbT8kY1kFskqvZ6N8TxoBqi9RPnNG6p9G8qXotk5UySUl5WbxgFJNYZQcXZaI7yUncK/aZyybry4W27pyBbnMJqFMZE0J52HBm7HBfrLQaj3NC5zzzfmROGW2gcQ5VR9SAcxijr3hzSLKF5hyEOQDrjEhGkiMPmW52eAdjSDh1BAIvN4GVsznW5KHv7N7QzZnWB1KrpGY0OVsWtBV8cnTR8WTOzDIxu4HYYAy05JmmDhXFS2TFyOiViIfeikRbBZdMyCCOJmTyFsaVI79urR5ywvmedsyEO+X2KnLeNWzOlYc/8wz3DRpbWp2ZZvCHllYdbozMU8/sHS6Ci4p0kwV1k5DcAZlb/L0nokgWy2q9BmkS3s20e2/svb7BrXtwLegKJ8YwcgmY9zA1yNjh+hE9F/Jlg3+TrK92LbltYFRkl8mdIOuEWw12dwkArlhpCDI6dFNigBjNq08AL2RXANDJ4eZkI3BZsxJRfEyQR1JS+t6h04C0Amm0jE+i1k672WSyC2AUrP0vGaVqoFcNxet7ddxJWPC95phtrgZg52UAPfXPAfOFqstwFYQSjpIXz5FdBCw+J/WcqnzHn/xmxgCkwrhasuLVQVxPjlseNYNerl5YHmQP2kBqsCx7hRWbBgozANbB+uvsrX2LcATQarAKx05cgQ33znWd3m/SyXdOy7fuV6O2ei2n9XO8sxz3OX3vdPu69/5m++UJqHCsk9P7rnA0Pa9trNZ5kelpxgCn2uZqhrgCvJjRDQaqrMujgh/YZzlCSqRNRw7evKCbHXFSxvtA21i9Oxw6KXNqyHIOZ28tY+qhgcHhEjQrTzNkpAlM6y3u5h7JmSYOhKTM2ZN0RRMHnGYaEQ6tJRZox8S4bkgB1vc78z52ijSJ1dybTHDTcMjnzHNLP7cEZqSJBJ/w2uFyQojINCNzKdOkBjSEBBLL3Nwfg9bsjckdgt3DCaUMewwQP+1XwuPVO3nnUevpUF4HjiB6rePT9ypoWI/ZYuBXkVnmGp2LjSGpLJoxwzygcSRxD7IB6RAdzeYoj4gcCL7Fi2ea78l3r0n314xfwe0n99x8ds9X1z0pBjT/Dj2l/u3tWIAOt5h41wktUD7T4hVkHjhBhNYJnXcFGNKiYrbO4mrAi5gPAM4C0FIJUorJFWPsqtN0ZA4ZnEoBvWw6W4dnUJswZRa5CXocukM9Xw+rmi2QkrVJj8CUK0wvX4OuEsRllWNSVTUZ4JyNfTVlxeAFFqBK65wPm/fNRR5oINkxMCQLITtcBhc9Ic20GjkPwdhgtax5Z15/upXzb5yjC44gwhzVLCe+bWXzy0HSt9lyVpLLiAopwWEY2fU93psXl3eugC52uaHSEbKCr8FqCSBL28AZ+ynnMtFT+51cWtGi0NASOMppUGtfUKfUjHK/yt9FsPu0iC7Z95KctJdHXypHP8EAHCWTH8dhoJRKSUDpOPOBRpV4e0N/vkbils12w3qzoWkaY0o1gRr1SeHiOZL1E+8Q7/GuMdmclLlWOY8lAAwOJw3mCxOK74uVpfOFlaOnl7P0moIpWB2oZmN6ZZPU5TSRc0Irq6l2rWp0XgAvBTRXkFmXiY8Ub5oaB6EmKdQcIZrpseaMTqOxQJJ5bljgmZBxxKeMz+WYzsqk7Torj7qIJxnJsQROVp5aJ3gJbGVHeExNgmXid+q+bQ17Gex0SXl/nMieSv8WXXHV4ddGUkEnKTKW014sy5ftfOWkp79zjqLvgDYVITh98/Q+thynfHACwixUIAVSNbuvbeHX9P96rHrep8csKJEuVKPHXxU9/u4jfKKgJXU0NvDl8Ze92ALFcmkn47sWJpfj2M+FbPWFybNs1CigVB13SnVrGfTNpyg/Oqd6KVF1mTZ7R0lGYGzX36WR+a/dFII4JCmH3d76DLUfftM5PG5LU85MKdt4WjNuvguoijOwQ8zo8ZRUWBc+DIgypqKxEWtb9scBUn7597/29Or+quYfd1I39n9t7wk3DTCNpMOeaRyJ00TqJ/bTzGGa2e0H4jQxTxP3Dztittr3TcNhnBimGa+R1nsaccy7e24f9tzuet4eRnZzZp+UfdTl1H6bTX/q2fnIPmTe722M0hT54n7E3zu6t47zK4eLAR7geuhZbz2Xl+b/kLIw3zXo54mQTV03X3jcJhA2zuR8qQS6h9YCzVUDDzZWEgR2LbiIuYqryXRWCl+F4rOa4aa0qLr4OincRWNWTQ5eYauBa4GnAvfBmF0vs9Hzg0KKheyQjYHxUYYc4HoF2wl3llmvHdxbAC9nJkyABJd2B52z0o8DH67WuNzycHNO02a8n/DB82TXMWnm4MAlT8qeuwBd17FaOzadWoa72PPeRyvkzYqpn3j/9Uj/3ci+8xx++kP0TYaHEfnbH6O/2KL7NdOPey4PE+dz5IJP6G8T86S8eg/GzSVBVjz/y9f0ZGKT2X7XM+sNebrm7C8S+cst8XXL/uLAeduydYGLV7fsWmF/3uB/dEn+ckTfDuSfnjNQ7/tf0o1rNvcX/GXf8wd55tAIgzwj+jeof8v0+VOSjmTZs9oEtMnoZYIPE7yJ5K8i8TuGbbiQ8NMt8gByEPL7k01os4O+IZ0/IX//ku7PvySlFXO4QH74c1RnYq9wA+7WEV43iL4lrQNRnqEvN7j4gB+/gvwRMnnYJ7S5Ia9m9D1o/uKA6obYvM/61SuUTHy2gosBDh4+WcMmoRcZfZHxH2/wu4zfDTStonNifjOQXk6oV/ydZ3XVElaB+S6jP72HpzN85OGpA9/CbgXbjbVBeYBYfJP8GpMUtcDvYY07Y2yEM4xRtcIC74RNJJ6V/a+xxtxhneT8a3r3KejSc2QOVN8WOXk9l9+pXiyBoyn7s+P5MGCd7QHTvJwGo305TpXz3bHIePIB9gU4kNnK4zBBH03e60fQHn4e7TQ74PsDNFfQPCnnVQGzyqCpoFllTL0t723LPo6jqXWdR9yUfVccPYaq6XbLUZpUJYF3HE217zjODio7Ax4ztOr2N6DUt99+VebJUwADjlnzKrC0wWRa5+VRszxWZk+PtenF0BBjDEaWbG/9Ndy8Yf7BgfnTB/TPb/hbIXPrr/hp9x7v/egvmDSwH84YiWzvO96/bvjCCbd+5rab+YPPn7DfnvHZjy75waevCKo8sGO8GngaEt9f7fjTP9swpnOcf8ovzh5ox8zmumP8sZLGwPDZM3768oeElfC9f/clur2DuEfvYbNyrA4r+PQZz9pX7NTxyfiE7z9bE54Hbi88l1ef0fcHPv2JMn+RcZ8psILtaKzNuzt45uz+Swf3I6iH5+eY4buzYuvOCiZ+WwDt2jdGrO1XeKZKL+9LuT4tn0+lTlbl8QFHRtRU9muxMWTkCPpWGWdhTqnA/i3ozr7vgNd7uBvBR/j8QH7bc6t3hXXt6OYr3h567oaBJoy8vOi4Wgc++cUtD58nDq8zQ9Mz95F5VO4vz2jHPe0wfmML/dag1DQMyGkUzHHIqJKL4DxezMwxSMlglsEVCUCd/FevJSkGelmVmktLtRZdXaUuA7HW+aqxNSzkE3w2ZokF74YuOrUVR18CCrsdqD07Wbl1YitqBmgpociggjtKD2pMWUIt6gw7Y5OmpBCTMmUzT59P4rysJ0bcVOkgxCxM9btqEj8z8s44l0pZzZxrJGti09o84ps3PQKsdVsoCroABsePfneD+SJqUSUmq8EcI2mOBBGSmPdSqGbSSvWnPZ56OX0LVqtcM3EU31hY6SjAMxWoKtdXCt6Va9N8DNgoJVDb1VFeVGpWCjijv7xen08CNRFXjl+PWOAHcUsadVeDdDGulZeilHD2ww6Y9r0lXsIRXFiYsM45ggSatlmOKc5bAyigUhXMWuYqCpYRCkPBTLwlePseQlazcyZDpphYLv0qozktXlNaXmvK5DSjMS1yUk2JnNMJSKNmRl6vO5TpwVLgtd1pAWsMlKrgsCsgM1qMy1O2lZRxJM6RWICqKsWUmPCqJgUNahkTUwmUnVoZJY+55PuCfEXQwJLbvrCTpPrbLHiNngBIsnwmSzlR4ePjd+Ak6D4JvsuxtQTsJtFzJ7/vQHwZ/9zxuxXgWRiky0+fbI968DKPWN61bAGP6uGRL3kFhWrPWMCY09ePt196S975tOJStTwesb0qxnAEok6PuTCs6p5fA6wcy0KXtbzKwoMjw9ZAtVi+Y/I9R2WlHsu1cqbqiL6cZ8rHS8pH30Qpx0Mzl42wCe4xs/B3sD1iuv5KcMnqqGkauq5ls17hTnzRvs2mJz5fBrLpsZ26kgDA21+8R72BUXjB+SKTdWW1r8jDZEnUUOW79jD2cznvanru3PL7j8CqemvFWMI6z2hKqPNmiOwEyZDiTE6JNE3ofkfe73n48kseHvYc+oF9P9HPkSlmxqiMc2SMkX0/EnMmFSAyFsP6rJCqr9g8M82JKSbGJEyYpHYV6hjw29X2Q3/HfoJhdugq8OAiD27iPDqiU2YSLnX4CDJHrs4DvgHmBNset/e0Dx49m4zFEh2aGkvilRLcK5MThqZl3XqiRvrbAyu3tgzvfWYYMnkdyW3EPbR0a8/ZWS6sXTHp3lTA+bkGscB5NvBJxOxsJjFUbA2sZrsR3xdWVldu7isHEux4V2oShp2H5531nGuBJ4XdlXvkuTdQHgfRFpwvJyVcKhISZw7caOfp1uDOHSv1bGMLfUQ1c/lsoGsSngBTSzhLyFmiexZI0jCMjbHmh4xX+DC8Ikpkcon7zxvmQyLpAY07VtJw6TzPDo5X4hgCtHfWBnGJTRxZKcxRePvJUzPKVSV2N6XGM3J4jziPDF1Cvv8hMsDmZ8KYha4/IDxwkBdcsGcjO77soO9GdH3L/MMBiR3tT57Q/b2W7BxtTMz7kZQGsvb4Q2BSYew87jogkyKd0sSMpBFhZJYn6CqiqwHednAW0EsHoUdCxvmJ+Soj/QOhvyW/6XFTxD0kojtHBnD5QPoAWGWaYSBvxO7XuzWM19A16OWaZj+Tbx1xeEre3KBJyJ+oZdddQd4oDo/LjpASbh2tTb1q8ZMAHmlWxNziXGb1ZEbVIbPSJs8cEuodl9mxyw/Efubykw3cbc0rrb0HWlitYf0euPtSF1UaV1lLN1hwVmUpgSN7u8zqRMq+l/a6ekQtN9e6b5mEQdknYtn9KlPrK44SwepN9QryCBpNMtCvYW5ge3uch5BsHoMH+dg+T4X55GOhUHaW7SuN0B1Khk4143Ip/j6vbs2LrlUY2kKaKIHY2sHWwasI2wJWyxq0sb7LfSm31s5DT5llDvPOchwBuwpoATyxYFvvMdCiBsXvWWDIDQbC1Vn0liNDp5Zd9eOq98e/AaD+alud651GNCeTM8DKeijvBawelWKowjGr2ocYwPSq7JNP9ltzlOxNWLs4lOML8D17nWe2u5b3W+H3vjsQrlo2OfPedM9dvyaPCoeBhkyOmYcwcnn9jJRG5mHPHA+0+5EPP3/g+mwgbTachSdMu3tkpfTnLc0qIvmeEB842z8j50Tf7civAqIzbTfzfT7lA86hfQL356xuE1c6sIuBMWUu9C2vzxoGFVrd82psCdNId3vDTXfBnLas0jWigmYHfWes0xhgG0w+7Epb7jrra+MB2gZcB+0zjBGZMVlt9XyqUjlKGVdguDIz6749j5lPCQOoKhhefaHeYH34BQYsPnCU/vUQ30K/h3/9FXp3II0j95uB6auZeB+JL2byLpL3ieGVMG8n4joSDncMxT88p5k7H2ic5/4wozHDeSJKYm5bphTYyGD3pvzNkNO3BqXIieqKVCee1VNGChsiqIFRXoXmhDXitRifivnoJQywWTKrqa1glqk/lXhrnqpHsMoCGAOmzJj0yJI6/efIOIWGkvVNDHSy2NGCTS8Yg6J85jCZk3dCqFlSiqTHlaDxKMuyR6s2qc3ODNSj2qJgnYcnPQ4Jir1OaouZiwxQhaTVwBhjeLmE4thqZCax9rqAUseQ4rh9Hbhkcozjb3/d9vUpw3/DTY7HtNuJGniRUpHvWV34em5wfK6VOYN18gIeSWGt1OcVtHoU82phSPGO9xJHed+xDN4J77W2uMqgykXC8+iSKomtwqYnQX4NVOS48zu/U0ENAzbL/lmZ+x7UPKpEIbQNU9eQ5kjbtmjONCEYwOSyJWcRwTfB2mNW4jiTNKMCrgm4ECygDAFpEuLMRL0WiCDGGpMiMs3J5C5pLv40GVIkpWTSljgZKBVTkcekBQCgslEyiHsMSklpV6fZzEQc6mSpb8p+tQw1xZLFMJHHkTQZoJliWkApp0u8uwBLThTRaIkCNJVHKfwcKwpj7ar2IV8nnUeAHXQB/haWRwWxeaeKCyCxBN814K4B9iMAyheAyi+fa/nsXdPxCnw8bkJfAxYtBfjO5OLk9WkLfNQy9fR4J2CQlO9/Dcv+5Omjsz05avnrvmZHffzW1wJQxzpYJKF6Ckad/EQFQxdoqULWtf/WPnn8/FQGfBxo62ByutRwLBcp7fIomDSp2Do4Wl/vM0fG8G+6ncqvT8GoX8d6cs7hQ6Dt2l8av7/NmH5a7MfMo/ZYwCVnrEzx9Xl5iL1/TF5gbVyLlLhKeyv896gixcbukoGk9GPrK1pOTFBIEa1jj3hjTCKkMTJPE/M8M40jeb8j7vfcffWGm7sHHvY9D+NETEpKlpzkEBNDTPRTXBhhpAKEqzKpY9TEnJOxcVkIdEQtCrTSCX4te/BbbClHUzCMjkhmDsrslSfeM3olO7sfuKxIhFVbvJpGYF1sDaJAmyAIGkCymjF9zjbnb4TkPdoJOWXmMdKukyX3mxMpZmOMidkqBJXiY1Vafe+RWEzS0wzqjTncYvs1YnNbpNAFk7Gt6kJv9aVq1NhT2ZkUoGYeD2pG7ILNsavp5RRh09hEPjmQjMvKSgS8ZRNqN1hQnAWC4lpnDergwNvdf91GJJRFpbkBn5FWabsyVmsBPkZoNHOx2tHnBFmR+xXNrASX0SGzUmWdHUFakhhI2YygLiLe/BCdKC57+vttWZxK5FXA42lyYD1tCAjiZuJlixs87sHh00jnBkIz0IsQSLQy09BBysR5QNcTMu3wbw741hG6QNN62iaSZCbHGSZv991WkZ03RniTcZND0oS4CQ0OGkVWEe478wtTj+QZTTM5jWRvUg2fe/IuI3PCD5FM8RFcCboOgOL3M8l3yODg0CHzAzQJPff4MaGjhz6g7zVodmif0SAQvIHMuSwgNBnxGcnO4qecbGEtCGky2Yvzgs7WJ3xZzNWc8Zo5zAdSH9keIO9WaOfRywEZV7gVNFfnhmy6DDJZWxWg7SHemHwtKZp766BuAr9CXAFh3Bpktu/4uqpYpUrCkeWTjxgNGfIe86SaMUnkW9CHMvAW4EVuQGc7J9SA57kF3ZvHVl2llC3QmRxvaiF64ABttp+fh+LNGcH1loJ+EIiFxZJHuJ7Nr24tkFcwB5PpSSr+dQ7uxY6ZE7jqY1XZSdX76q68zhw79GmZqJ3bAtJV1lTNaMjJ/hXoqJtwNGp35bcrO+1vtt9+05O/Xzc/qJH3aca8UqdafaiecQRDqkQ1cJScVannyJHtA0sA4hRCoh08myycdzBtHBoTq7zj5r5Fh4nQjzg6lMwoA+f7S5w6JPXMTSLoTLcfef0kI92arTTEIZBQ+rlBVopnxg0DDU+t5bmIjjPiMq4duZrvuMgN7uwpLjX4saUTy+uBZiaZ2K22RIS2n9nLjNcZPz2Q9y9IGUK+h1Yso2jytviizrwbQwF1kzdJUNZjFxFs/rQA3xVoOu0XyuN+JRwlxKnUQc10VxJMsOMIbhXgSu9tPEpPikyrhzSgavLCPN2hu3vyx6+Yr3vmw8T9ZmC4Tsx9Zp5mS/gyQnrdMk0T8zzh99EibnXMfabHXs8OfJsJK1PUxMYRadj0e0sg13wz3vCtQanzLpiGUI9jdPAQcKyDsAlYkO3M8LgO2+AWE+uk0HqTtsViSppUSRVdwCbni+pw8VyxvDhSQoRaTbVvZSqAZK+1BP4DZb5NZbTo4tIiYkyN6m3lNeNtQZjOZcPrneA9rJ035pezSY3YfdMYVQgEG07RY8CtGeaUi7TPVqWbes7evutEjmsAZWIeySQyM4lLEQIHLn2mOfEvkdN47mSr7zmxcp1yJllRlPhLT4Lwv96tcd6GqJQIOZHJNF7NQ8ApuEyWdIIuyYnby/Gfc7JI8zLleS7m94Vz4xZWQ4G7ShDrylPR6jNyDJBrOFtvltY+lga0nJa9Yyv+UQQvFvSpk2Kie2KkKyZvrSEZFB8tB6C4JRMexGlExDxuJQRjNTlHs+po247txTnNusM3wVJej5aCs92u6RqPqDLsevb7A3OMCMpqtaYJjfl0tA2+aVifbXny7Cnr9RofwgLdaTmHHGfiNC3eK3GeLINPNnBHS4RWPOCL7PUYnlVW2RLXUgHJ4pFVA9PyiCfsqFyZjCVQ1SLZ0ZhhnpEYYRwXaZFzims9bRNYNRucd0gToPVHfy5fgiUfCgBSJn25AEmOwqg/AY8W9kdjz723QLsCR/UCl7+ldk+1k4V9tnTL5fhlNMsmJbNTUhADE8X5Ywd1ubDQyjFqRWHB51KOZZMTUKG2yRLpH3eog4VgwOAJyHYEscp3tFRi7SuqdsyvncTUE3z3uZy8rudcPAky5gO1/P5xt+MF6cl16+Nj/dJv24jhXUbTwoGEk2d1Vy9SmKt6bKzJaqyOHV7smKoZFSWLtbtAxGlEdWbVNnQhEFQs0P+lcvjtt2+S4U05kUQI621hHn2775W9lmeN9zTB+o76IkN0Dg2e7AO+aQlda+zM8qgLUotNfGlHgpQxEBYPudoeT7Ny5ghjD/OIakZCa0CED9ZOKmg0jcbOnCamux3jw4HXX72hHybGGLmLyiSOWWF62HH7sGffj0xROW8cq+CYNLGLif2cmBVaZx6NXZkkas70SY2QIBZyTQlmVfKSiZGSJVQfhVC/yfZke0nY9kgeuHmYOcPzPbeFZ8rKOS7Fw6ZQ6uc1SISdg5vClE3R/HLmBs4ULjLNm4MhZ+pgK3RNoNsE8ANN8mz8k5LpJ8OVsLnz0ATL/PODEXoPr1bwckfuHfNna1oEaY2hXDM8IgHCyobTmxK45GhZ/LaNzSR1svOqrIw3WNa/cYTLtd1EVr3FNZ3ARw4+X4N6uCqMKvHwMsC0N18E35SFXWeAV+gMmJsHKxvByuy71hjlVQPvewu038zgrf1udomNn9msZrYTnN+OjG1i+r3A7ZuG3UOg71u+IyvONfDwyYor98BqNfH5j19y91nDfHBs1jOuvyfS80XbMoaRWTLuoeNMX7HijgdWXMQnnKUzNnJHTOfMk+M1f8lh/Yzp8ozzN3/JxSV0l47r+AXX6rlNW568fsn29TWd3PB51+CdwHsJhkQzrlnPzxF5a8kO5sRucPizkW49MqVL8jyQ5wR3V/iwx23uEAYk9IjbkS9GXO5wX3W4VwPpfCZqJH+cSLkj+jWS9rCJ5GeR5u1X5M0509Pn5E+f4PYH3P4e1u8hSXD9COuZ1E3kfEO+ctBPhJtX6MfP4dwTvhPR+waNnnyzQddfkZtI+o7S7WazQIozOWR8gC4IaQ95DshdS0TQoLBVzm8FFzJ3oWcOO9oWvPP0978gOs901eLffM5GVnz08hJ5zxuI2v0c4gE6D9/9AF4/mPHwqy358BrVA+4yI89a2ycCmyfQrqzdPf0xrK5YPHYW0/NXFvQdMLDVZdh/VVdEYbUv6LZaFq70BsiwfmL0eSfQt8Ae2mvwW7jVkngrQHsDboQH8+1iUogdnDmLOz+N0E2wnmA/lwzpCQ4j9BnGDD7BG7EMmyFbfz0L8P4eVpcQtvB+C9pasLK6xwzOLzCWWA2Cb8tI5rBOfF72GzlmAXzBMcCu2sCn5XuVqXZXnn+nvF8jumrkzMl3/mb77TfhCAwasPx4TidYed9i7LXvYGBHXz6rxtodVkcvsDZwVv5+WfaZy+8ox3rflWP+FFa3yLOJMM4Mr1u+/MunPHxxD3FPGGfedx+SmBl0YHY/JJNIuuM1juZJZPP+wD0fkXYz6e0t0kx4l8k6MfSBcTcx7fZMP3pJ9hmmPXv/Od1d5Pw6039nIDXQJwifZdqNEP4HgdX/LZLuWz6dvsf3pp+SXeLLVUc8S8UmTuH9L4mt8jY7vvexwAivWojfV9IPFFZS/F7EWFJ+DTkYM/gcWLVYMoQ6ftyW8qly4FPvulzK+xVHcPc5x4yIYynXmulQOSZuqEb0O6urrPBwBze3lmjlyxu4TtBn0sXAMHjGXrn76oa37Nnlie7zFTwT9DmkL03Fpgr4B/CO4D3teSAMCdcnxqFj6jJTm5k2EMUWTWRWplXD2GbCTSKvIF/9DkGpuRiN5+L5dP2w581+xx99fsOT7YrvXJ7xd18+pQ0eL+lxsFSKVhAzIGaBoBBxR6kfJ4EWxihQcTZRlgpOUdLWU45T9i3nqZIpGMDJirEussDKnrFft2+aX3LNdAa9WtY0p7bo14kF2mY+bfCYL8CUEyU4oXFFTiiyWMc0LZCFNmPZi0qGQaWQMtAFsJByRlrOMaVo4JjfsQ4ZXw2N+dUh0GKOW68358Xk+hgJ/vL+v6vtGAQqLgTOVy0vzjoagSSWmc+fyDtSCQ5NEpIK8EQBQ+qKtTFcXPGWUkCdeVZ5bLU3y5ENlXIFijiWxckZLhkF4ZGhr5a6rzsLWmJXWeyAjmp2hZyLr1WRFNb2TmLxuaGy9ITGCeptFTb4VOYjJQ35WAANEaaHHTsR3n71lTUiMd+karCOdwtzT7SYnmNtOoSG0ATW2w2hafA+sO/u6G/uadqGpJlutSr+VQ1pns0rKsYjqKdGx9SciMlW5504QvB4b+bqOS0Fan2UU6yzHCdXlqL1kxrh1Wx6ki0ro5ZyDifIVuMyOVD8dIOxrpxDGo9rWlzTom1HKsGuNgEXWlzbWOC0MDl88boRspTnC3NMltfVuwwJR+bIad94hImUgap2ZE4zvJ18Lg7xegy0C4PLysqhhUGF88eA/dRBGgqjw35cS8c49dY+nis2LtU+LvJo/D0F0+o4YyzRCmicgFNV0iiwUBL5Veyb8t4jMESX8liYcPVY5foWyaxiDIWTcn40yumxF9uvaZEZFp+xAo2ckhU1n0r0quCyANwn2ThN2ltFwWWUkON5He8n9p5NFxwJA7coCxsLreZbbr8qs95fxZNKNRNTYhqnhRn1q8byX06EUZFALENqSuWe6pZ+4wWcRhhmDvsHUtaSmMnYRknV7vOFIdm0DcE7Yxg33piaq3VhIVjmXGM+zqT9A0GT4cabNe78EllvjIFTSY4FyJKsaJxwh3vCwx1nh1ukn2CM+HE2hlBS4hRxc6JNCc1KnJ1lIE6ZPmaGlNlF60vWRnKR7mWi2rVFVXYxL+zmen8GZUq1Pf12mwyOddfhW8dt7nk1zAzDzJ//8cjZVcOzFx2//+SC1me8jExDtAQvK896LF58To3BtBNkFNhU3zoHgyIxwzjbimEDbGdjHiVnBuZPFFTQMZE3inQZuYpmdp0amqsWWR9QF8mS8KsSxGgCP7F44iU1E/XNJQy9gexr0NwhPchDtPNaY55Vd0MZ0D3clsWoawcyloWCFsJsjxRs0hUc5LmYxwIXYvHPZIAchwL4PxltvM0KL5IF4Th42kD7AP0dMtzRrHrkYubLuwZVIUQhf6ZcToFNDHzZzezJjCJEVe6vZgNCZKbxPW1IrMeR+aIjt+e891a4Prsnryaa8S0698xlYnr/9IZDu+PFZ1c8ZNjHyPDzc/zcs447YttyPTTI5NnkHSkoKQj7D94yHya6Q8t7mxXPnjVsPxRkviP0kdWQmS+UKa4Z5hXt6gEZIvoWtqlHp0yeAoerHbmZycGzekiWcXpu8bsGRFF3IFwZ4yXeb2k3E0kik9/TqEAEeZNwY4uO4G8Hktyhq0TatrizO9gJeVL0YiQ3St61hIMBLfnS4Xwyyf3HGf/EJCnhNqI5Fb8rYX4iSK/4LyM5X1hSXR2M4dVkDkFQn8BZ1u197/BecBtY9R4dHDdDRJOxD4ddYnMY2OP40+ma9osEXpk8eDVmULz8DHnrcLPQbjydZEQT41czTedxK4d70fC0FVrpmKYDPM24do0f97gnDbJpoPnUYu+c4QuTdBLUsJycIEb4+KYQIcSYgE1hAl3PFsA64MO93etSC69mizUn4GE2YlUXDLjSESQZ8DQVb8vcw1QMEc5nGDo4rGGbDIxLmEfclYenAc6kAG0r6K5g3cGqg3Ft/a0VkItyj9iXvzUw/iFHM+vKlHHYD1WJX8fRHqJc6zLPqH8ry6qOqDMWcFcJmXDM6FW300lYZfTU3/En3/tdb/V3/7qO/9exfd051zJKfP11VCDp9DvK0bfsCug5GnA+cGTuBKy+FBuga870W6yer8rhAho35NXI1Iz0OvNinhlEeOhW7NOmeO336Nyjbkb9nov5gdS3HN58SN7cojqh25mzrxL4gbm55vkqkrLl71CdcUPCX0/MzzNT13L3covuVnidCP6e/n04SGTWgXEzMj/ZQxt5fZiQGSMx7qay6hbQXmGE5tDwpnu1kJrMZiaC3xtupGWBJjqTvw83ENYm3RvfwOtk/dVnWN3Ygvr5BFPxalsl6DZmj+BtcR4V6Hrod3AY4JMBXvQmqT+7AGlAqrH8DUf2lLPxoosGUr8dYbcz6e864e5huJ94OMxMZNqDYzs0jC4Z2XOAHDMp2ix5eC9Dv4HXK7ppJLmBLEpMaguaOTB/vmXa7Ihr5Twm4uRJGpgaJY+X5P2Tb2y93xqUetuPxRtHWAXHbhr5/Pae//oXn3O13fD9Z5e8vLzkTIXWQaLI+5wZoHuEhmMAa0QCXxhHgnfFzFzKxJ3CnBExppXIkvEvcwyG7XGk/1f/n7qiW8KMOtst+9maZ6XlSzFSr1KNmt5cVAlqc6I6/NphTYbWOAOh2tKJq89RKMCUC45Q+rDX2tl1GebNVPsY/x5NXCElxXcJNyZaf9zn206MK1egTqWrgbC+Q7P6Vdmffhebc1a3FewzgOMIUrpSp0hdcbdHcMXiu4JSNo9eWB65nHcux0gn7cKuHfKJd5WFpiVIFVlke1rLYymtUiZHeMFueQU0DcvxLX360raoYFp5XqLarAZKJYScTM7WODGswRePLRSX0/KrMWeSZqaUiKdBmrOySkUyKiKEEFivOvNyUzUT9BCIMdI0LcF7QhOY9gfECVOaOTs7Y7Vasd505hWVMinW1Q0DahbCTc6It+xI3ltWO3ELn8zKqMwt6hREChixNPcKPJbycb7S9xMuJxzZ5LPFF04EQ4KzMTfIwc7BB7Tr0NChoUVDs7CZNARjOTUNrmmP0qLQoBWIch6thsynwNMjdtHxhiy1JZ3KAcs4UmWYFXQ5OpUtxViAIY4Mp4U7KuV8tABA5Qa1gFJlVaJk4FwYQ0umwFPY5mTyIOkITlT2zMICOwGpyvtaZYqnYEVlfFUGVQWTTv9+7VbH1yMgZR2A5drracuj/U4PcQJCnTDrjoVa/1aj8ryU/fGz+tzaUT7xTzrua4sDNZPr6R1E3znWMg4URt9R0l1BoPzo7L7N9rsZZ20MTyl9DejEt5LwAYwxMsZEtgEFEWdjUp6QFMmHnnmoPkuZGCNJMwlh3QYa5wy82axwbTAGTuMgOHRawaxoUtKcmMeJNM2k3T3SeKRt8N6hG2PRHaWTdQwwNqj6YPfRxrHpwuJhN4gSpsRMwvtMB8zO0cdsCUbUxsoOWzzo1WRrBrBlYgWkNJOLhD4uaKSyMCQ5bVm/XVBy9zCZX9Ta4STTp56vDjv+xU/vOL/s+GC35X13xsWZY7XJTL0t1GgLGrX0zzJmJOymeeYtkKzZ7cbS74Kz99pkEoJRivwuF7/h0nYdxqLa21zNb4FtRDWZb5QaKGUJwBS8IsGbxNIJedXixhFx2VaLB4cmh0RX1BwZ2mhAVBYDsjJ2/nsPT6bCcq2gVLb9Km19ncsETIzBssHm3leFDYXChTOZYBZjtWgJhBsP7YT0E06NMZJDZvKWdEVyZhiUzkFobPFp9BOjKJKE/TbjzpWLccLnkVZmujjSEMi+I7iWxvU0bsb7gzGNyzidmgFdDRy6C3YT7FIm9J4m9rRpoN9smOaONAfOGCyuaBPjswOCx0tH4z1+43GXHnTCJ5N1+pWgIZgt7irCmJFBaEM0NmoWxnYgNUoOnoYMSUi5w0+K+ox22WSOk0fGBt8l8DPBjfi8gdkZJtF6ZFZjRJ0lUlBYeVw3mAywLSwmAZkF6Ru0cwZ+rGZkADlYcOuyKcxikyE5pHFoa+1ZVMv9XMhqTMvslTnMiCv32pyZo7mMOs20kyNpZu6VRoSs2fwz58yEcv2gtOOM5MyYxfzZPMQvE/rQ4XCsXijrrsWpo9/NdFkIraORllVoURnJc0/sQZtA2z8Qhg3+vIX1NW67RTTA6wHcjLaQ260tNsYI+2htMbgiay1siIyVn8P6aWVK1CDUY302u4ILNWV+MENa25zBJVgVi4KgxYt8ZezC7aGsujqT87UB1h4uAviVMTm0Ld9xMD4rc5GEsaMqC+MUeHgKUgGkM+wiIkcj9NWvGPnquFn3r69njsydfPI3WSfXEznZMkc73ef0PThOvjh5fZwT1PvmkhFReOd8TuZwNoiW363XePobp9fEO+/9d2E7vW44zm+L8f/XzloqU6dGaNXzKGCrC/1JnfQcgcgKNipH3zDHERxpWbxd6cApSTKTJrrkmD1EH2z91gmz9zBHVBLSKNt5Tz87drsNyjU0CbcBuXY4Tbh2z2rVMInSR/DTBDEi80w7Kuoc+byF+zVEjzQDObSkEEixxKY+k7uRXjNeHGGGps84cXRNi47FrqQX4tr6lptb0uDIg1i/qPJyFdjNMEzwcAtTKfPDDr7I1rVage3euszcg66K9CwBZ8aGDC0Mg4He88EWfx4m+HKCZrR75NmGIzDrTuqw1l2EpowXPsK6hWBzaLlpYYwQoWkEHwNddOx8NCuDWdHgyJpNGrlWdBCT/g6OGITJG1YhFV/ZtWQaondkb4G9m7MVS2qh335jy/3WoNR/9id/zneeXPL9p0/4wxdXqAr3h56fvb1jeHXNH332Ff/9H/+IVddw0QX201yauflLNU7oinFzcNB6oQ2OzkHn1XzBnDNPBQs7yGrmn2OCQyx6crWwhBPgytg0BbwqQEbmyKZagqxl3uuPAFCNv1z5/VK9XmuGsYScuvMWRoLH9q9snaS6sKG8N/ZU52ucJ4TgkVXJEIaCcyaZaDwaShDt7AakOZPnGecjLsysuoA/NbT9FnGNw/y9GmeLLvrueP3XsJ3+xGEceXW/55Pre2K2WgqiC4Z+ejtRyYYjSL01VTDSFameSfbwpQ6zXWHOFiBl50g5kxKFVYR5hwgmwynyqCXOXZ4XjsRJ8HH6pGbLDVqGXykyIAqL+iSMlczCYknowpZK5KOXWDJ2QfA2v26dsHKuGPKb9KUpQJX3hQ2qapreEmwlgJSPpvn7A947Vl1HNTmfppGmbWmawGa94m4aSDEyzxPnV5es12tWqxXBBwSYxomk5hnXrTc8e/6M7cUZq7MNITRFtnO8+cuSsRIDTpbMXWpJDZxbHs75Ik80RpL3Jxm8UoLiayHziOTZVsZ1YumsUbHc4Su025AkoFLYRSX7nm+78tqBb8zzJgQb1AuI4Cro8qiiy4vTYPQUDMnJJDNLxr16vRakaR0zvIcKlJTyyCmRZsty4XzAr1YLvqUOjpMYsZtRYTSZf1cyeRMFLCjs0iNIU8CWFNF5hhSRFO04rlI0S+P1wcyqvRhYJ/7IsKrbKWPKFwmjuGJmXcbaxTfr3UFEChPsKPk7ltVpMR/hqtMjyIlp/qNr1NMvV0bT8TknkJycVKMtaJxCCAVgOpHv1mQJyGJfg4GMZUxQY2K55bsJL5kmwDpYVlMvJpH+XUBM725fy6Y6qfuVD3TO4XL+ld/7VcDUAmI5eHO35/XtjmGOOHE0PrFlT7j7DL2/pf/0S9hPEDOSITStjSvnZ7ShtUy8Udk+v6A9WyOrczPY3Q3w5o50SMSoHNQk/c571qsVTXeGazt02yGts/trjAtginc41wAr3Pac5r330Tizvr/jomQL/K4IbuiR/oB8/inxYcd8GLg5zBzGyDBnDtPEGBNDSnw1ecakzEnxOMYMY1au58SkJivOOWALDsqUKT6RwqYprei3rOz//E9+wlW34dl6y9//wwv2uufmcMt/OvwbHj7esPkXz/jof3vF33lyyUdnZ9z/LLLdOK6uTgIF7+Eql0abYd+CRpPvhGKySgNnBlbwkOHFDL2Dtx6ua0dRXGUuDQGejTaxjgdjaI4N7ApbQbEx79lkzNK5hTSTiAyzAZS+c3ARkT5ZkPvyEr7AxvLnd3BQYxVuZ/O2mQJ82RVpg9rvSPHkmDuIgwXIVQmUPLy9gO8ejImyeWISvhhhWhvjwzljkazPTRJ6mGF1QLaR5vw9+njDcBj4A93wZeu4DzPDswHZHIBA/tkT5OIe10x0rzuu18K+Uz74szu6mNjkTOcc790+MO96/vK973N+s+LJq8zDKpObhtxY8PryK9hI4s9/9DH5q3P8w4rv/N4tzasMbx0D0BAIsuWBS9bza7p4C5+vefKdDecfrfnzP9vzB9Ly6uycvFnhDxFHpH1zRphvIN5yJyAxIGshPAE/RPwhsr2fGdsV02qNy/e4fo3stwT/c5NurjfETwTmmZXumJ4PuCmymTLzRWPzs3mm/6FDh4i8nsjjSySOtOkGbgPqFX2q+N0W/ERe74nhApehPQzM63viuTK3De1dphmcxVwPjoRjyo5OOwiJvM64Zw/gPTo15PsVuYnwoqe575DeJH1y3uBawUnkoZ9xAVZPhe2uIaiwXkciNufbTok5gY6OswOklzPaQHMIDBczWTLxYebNbF5XYe7I+0Cn0EwTn7df0Gw8P/jeOV89fM5+nul85uLzJ6yajnA20l2e0UiAL3p4Ctk7dm+3rM/OaNcr+DsvoWmsb1aWFGKg3eKz9MzafyvwnbpACGY2XjvAgQUEkCsMGIjwUfXvKVn8Lu8xY+MLe60NnFsgarjKR8dzkDMMeBrh7G9zZCzNWMdcYwyY0/vIuhz7r7ppOfZN+X7CgI2XHLP2CYaEVsPmA2YS/7ycz1OO0UMFwGokMZbnLcc5QpUdCkfgrAc+LeUgmMa4el9VoCWX3/6gvL4t59mU36kZCOEon9r8BmXy17m5r3lPTx719eksasTKP2Cg4zlH5lPNsvcKqx/F6qACU3dY3SpWvxflWDWr4hm4Fglr1sMKmT07lK/yC8YcGeaB3/Ofswe+RBhwaHOG315xOf4lLkWu+x0MH9I8m+ne23P3RebJNPGDuednIkxi1IOLL14zn8HDR47v/0QJ3cD84cinecs0N6S4ZfvyB2wuL8gPgRevn9J/seW1u+T8/Z8gYWZS+OhWWG03+O9+xPyzxMO845OzT/iDaYNkzydkxj89Y7w4g/+Fs1hFIjQ7+OIO3vRwvYO72RaL5qYEfgJbb/dEJ/B5Cz8a4aKBpxfw+S3sJoijZQ+ds0mNtw1mB9LB3tki4HtVrjeXunlWHp3VmUQI34M/uIHfL351/gZkgHzOs+uBZ3cHePgY3k5wG03eV5P1tRFSZIqRP74emVYP6ObA875lt3fs+5YpJ6KLpJBpQkeOmdi39N9f0+32rHdvEVokTEj35htb7rcGpT5oM3k88MnbzPe3gbt+4GaMKPDdJ5f8rZdPaSVx2++5PcCPr84JYhl42kLtb5zQOUfjoPHK2ksBpzhhLOiSch4wFpIoUSgePlhIIZVZYRm9zOvG5lNZDRg4dswaWEkhfsqyiG9hoVmne00m06pMJ8BRMqBRu7CxqlonBO8WppQFRrrIIWaUec4lUCpSrTGZL46AOAMhvI+4srpM5xFvK5bZe2QVYL0hNF1heGAH+xWz4+oZpb8GgarX8eg7v8NNRMxcWzMPw8hntw/knMvlOQNy1HxbBGPKVDAg66l5cV0Tqa5NBkCbkbrJeJyzOkq5gEXOmZpGFRVDeFUNfTdJo7XHXOVDFZBagMz67sn15AIyFcN1VyLtbNColSEnHlQiNOoW2Y+pe4qcMiVyFjPDzxirz2eThwoElxc2XiOWfVBLM47ZgK05KdGDqpQslhY0x6mk5RVhnkac93jvGNpAcLIwAXM/MKcM40SKZmo+jXMBpZTgPcPdDWcXF7z/vY/Ynp/Trla41gAm5+RRli3nWAA4EJPMlQDUpHOVqWTIr/N1xUaNiaUJyQnNB5SEaLKBNIqhcslWAdR5VN0RMOxaaip6V5lRS2r6gPimmAke23s1vT+yjzKPdljAEftMczLflGSglPlaOQPZVgHmmXkc6W96hnFkOOzZ3d4gceb8fMv777+HaxqmaWT35jVxGIx96YXN2blJLJtm+Umj0NlvOTBGgjsBoLIx24bdnjhOpGEw+F1t5fhR9kXvcMHTdB20rQF1TZHeeG9BW1OedyvEGfPMVleM3Yhm22/x9jvafi/gnWaO2RhLGT8eYE4KmNrZFiDpyDirY5H1+uPK6cl4dwIsWRM6OW4do7V+j2VsWUaQ06QJFfRc9ikjzcLaObmmbBldGyhy2cdj64J1fsuh9JSdWsGjbxqH9aR8nAhNCCX73q8Y508Zw1+/A7u+536/Z5gmmnJvieqR7ROk2dCunnKlvnDTkpnnxhk3T+hgcrxxyqTeE0Om2Rr7EjxcPEWergihZbtqEdfYuNG0uKZDmsYyZNX2Ve5dchxUWYBVimfc2TlSvObcYSTFbBhws0a3Hm03bNYRN06048RqGEgpkVLiYjB6vwKNZJP5JeV+TiRMktjH42S9Afoi/+uTeWCm3/JeefUsk1PkmplxnhmiMMSOcNvw33t+yX/499/nIgk3b3fs9js+Oj9jFTwye/BFHpSzAU9erE+OZWU6FdZjwm4WZ2B9xxto1Shcqkl5ks15OJT+loA3jRkdb3NR3GSc9CZDUAEtS4UBWGWIxnruGnB7BzOIepvENskAridlkk4wmaFizI59SYv9LMJ5sL58k208CmrsqMO2ePGMttqTnV3rV95inO1chodQAKjR2KebzrIBSgI/gsuId6wvApfRsd07bvScKSR8mnnyGnZ+zRwC8uKBF/sNq4dz3rKnHRoaPK/yE64v3rJvevZvn9DlHS5ONA/XMPVEnYCGy5RoET4/f85te0/f9rT+GfPlAM0d7RdKP3n61tvsVHeI7mi7NW7Vod37TLzhdtVzaBXm5xzeRl5/8hm6GpCVkBvo48Cqhe9s17x6u7f7qIPDYbSp7hq23rEeJ/LtTJ7A5RFdzZztO2J0DENi/WQgRpgnM1Fnash4mt2AaiKfe9pX0djlG08abpAUkXmClJBJ0B14ndHgSO4cyEijsAY/bSxZQZ6QkMmdMnaChsY8x/uReSOGnfhiSu8iSESakoDotsE/qN2WtpBkIA0OPzjyEzNAH99khtVI2wpNq8RbICpPu8y9QGwFf+HRJiE5084JUWF2QlJbmBPNaDwQNy05O4bbjKwFPwo/mSJTtn6xuoAwjgQPDDC9OXCYM6+/3LP6wuE7x3h1w8Gd0W03PPkPnyDNWcEwAsiKI9gTTx6nHkxnwApkKvutyj5D+fsUpMfkfC84MpDesoDXXGAgSgPdhfUHiRx9mzwmq6rgTQGFlwxgnt+NLK4GzJVR07AwlXhq72kFom6Y7+4YP3vFpmtx5yt4eWbf1R7y/w/u741xdh7K+bel7O5PzrtGOQkDUlw5jwJe6WuTUg0Jbh+K8T/GJtlQxtkR0k9tke6ig9UnZT7pS51UU2/K7xUJm9TsjqcSxd+2DP+q29f9VvWUEo7eTx1HZtMpFFDbRP2e2rx0AT9X5TFi5T6XfVcc5Z1vTr5fgEOZQXa4iwb/nQuaEV78bOC+mThs9nx83bFJgQ8IfPLdhtAObMKON3tHHiNX8YYhDGSXGNOIcslu4/nFUzi4kdyv4OYK17whDUq+Cbx+r6edO9rPn/IkvWVoRu7Xgkxv8BFW6yccupEY7niZHuh3EMXKYlYlDQOHV6/IKNFHurnjWsElRzef8/mbgc9e35ssLlLYkFu4HGzO8nRjLMXq1XoTC3OqN8wuYgvxt87u4VlsIbxRmM/hxda85WY1YJsA391aFr+2MM8k2PEYMVllYfktc+lrm2OxhXBr++sKZoesZ7tP9i20rQ1N5xNcpBL8ztC3NFPmxz+AnAI6B7oHiFeRSCY/CHqW0VVGNjMaIDcd+dIzNg2D77jfNYQzwV9O39h6vzUo9d3zFbcz7OaJu8OeN/sDr/YDivLe+Za/98ELDsOBmwxDEv7e8ysaZ9Quw1ykSP+KFMopjRyHkJyVXOKPnHRhhTjE2E9q/hQVJ6eYqfriIVUz8Rm4YLR8A4NMPmhyL2NTTSrFeN0m+FICmmUIlppb6Sg54wQuUQzoyOIQJ0QKE0PNFMz8KpSYjOlSPav8bICUSRXtFyxOTEgw5EEak1BpMK8c1BXvl285qD2SvAjvpmeHXx2ovBss1fdOA6Zf511SMTNXgtchRu4OPTElGu9pnTDoEv6ZIfaJjEbqo6ToRk5IvXL8m0WXULIkjbIjiBh4VOLlrNUk3Q5i4Ikw53zcr9zAVCv4tMTKdr0UnyVVZvJi7G3fXPhCFuhK9Z+ShZFVw+uMFno5iIqB6g4CQuPdkp0wFIDKwzHLn9p9M2Ub82K5JkvoUNiD2bIfoEIiF6aZ2MDTNMYoCo48TcSc0XliGiZijMzzXOSIRcYUI3Eaubw6pwke75xJl4ohu6e0J2fMp4pHoTaxWRhSBZBaDLgNhT1elHMYr9Oz3PyKZ9ARlPJFqivonBaw4JiG3lg9S1bMim0jx8DWKr/UaQVTTkCpumU9+TwdmVIplu5kiQ7mODNME4ebO/b3D9y8vWF3OLB/uOf69RtCmnj/5QtWbYe0DcMwcHN9TdBsY2DT0IniuhUudzZxT9mCSUyGl52H4K2dpoROEzlF0jSzu74lDgOpH3AFcLTEgTaWeecITcA3gbBZId2qrNR6tO2OLDJabOm4Zttx1BG2Zh4tjZvK5Cqd/XEZLibs9tkvjRCP3qtgkFXzL8vmeDQmLO8tnbKMFY/Q9dMXxzqUR+AWS/s+HtfAptOMkrW/1wQYhVSCUzX1Eiz+cXpyKb98ycfx85u2b7Mw8GgMxsCxtml+SX59+ntfz5Syv84J/TSx6wcOw8DFqkWckLLHtWf4ZoNfZ0JYlT4Wob+F4QAP90QGoiQSDTSFjecc0BoQve6QzRnSrvCbktHKFTBUip+a+COgaWe3sN1qenYllSosTDnNSIzIoUeHnjiMjHNG1aHSoN6Ri2a+0UyXjb3YiVvqq3MZnzOSlftJiowPhnicX5x7ZZgThzlzH9X8t/I319Ov254969jvPUOv7PqR1/czn11n3F740Xc2/E9+7wlymHmbEsOs/OjqglbKRLWUDxXRrfGjLyzOudwIZzWGVK8lDhH7TDDQyXG8mQ5QNPK28rqmLPgnA7tlAjVzP6uTsgrUGThl9zosfikZ3bgqwBXRwKsKmLkiWcq5GJoLnCVwrY31Y6aYdtpnc2PypSmBK+N0SpYeaVToZ5YsIkFsvPbJ/KiYzaNsHqheU651NCo0yTG2QsKjKRAGh6clNg1cTbTq6WKLMiGTgnj26xXDOjB5R6Yha4PPmfWwxyfLmNi0SjPY8dM60K8Cc9Mg0xrnRrSdSG8CcxAmL2Q8QSaCi8R1RlfnpG6NpMToZ0Y80gTmQ+bwekQl2sJlk9Ew07XCumu4E7HgQRL7cSZ7W9BcdcCY0CExa0t2M9EnVs4zZYhzpLmcITqiExrvyWL+H03qyV5JK8HfJ2gdulGi6wuLFCvvhGXGC2VkjQFhNnCwyfhdY7f3xoCS7CC3GYe3ftzM5K4sJuELOGSLbAQHSXCjw03Z5lINdi9MGY2FxatKPmRimwysd0LAPF/PgmV7msXhzjzj7NCktC4T1Y5vqglbJPUpwsqZj9utqR1yhus50nihbRyycmQ3mU1bbKCfmIbI7f2BM/G0jTDHaP5724mrhxZ8i0iwcgmlzS7MoFPgAo7AVGXeVIZPBZNKUKeuACCrMn5WiVnNVlc9ZQL4Is3TChicAiVV6lNfV61IZXVVcOL0XCv4w8lndZtP5l3lNSNHoMP6Z46JPCb6eE8e35IPPyOF1xxe3XDzb17x7KJj895TNs330XiL6gHyz1kNe9zawdnaBjBZYfrmOysDp3btqna9kmwiPfflHj+i8Q76CfYReTXCUM515WCrxirTZOfcNtBe2XjiPUemWAXD1uXvqcTv0eTkN9xOv/9Nc4h3f+u0fk/nVKcPOLLN6ut6UwHLuJfsUefk9OV4pd0tgOqOx212KI/VO79vAKWsPO1ly/a9jvBxj/Nq5J+uoYmBTh2uU1w7E2TPXhxeMiuZmL0au76PFmN7uFuVtjgJmhty9uiscAgcXjhmDeRDy1qF1iW8j0gccXkmtMoUIqmZ2IbEYQ4k59AgTLNAShweHpaS9DmwCxDEs55XXD/sub65g9s9dMVPLXvYtMUTMcBVV1iSCTaj+ULF0e53Uyka10BqLHtm01pVpEu4uICzyswrC35cwZIirYKKVYM0n5R/fb3DDB8d6GCJEGI2eaEb7L2oqJYsym2wuMMpLgckG6nm6cUapgbGYAzlztkCVOstu2dnDMMcPDl4fBM45Ia9Ztro8U0RcXzD9q1Bqf/kD/+Q64cHXt3d8v/99DP++Sev+WefvEWBHz2/4n/6e9/jf////H9xlxxufcb/8u/9iK2HaRxN8uzEAlxvXg9jhLucloniHA2syHAM5rUGmKDimItcwUuR+RUiRvUMWlaxSwAlmheJ1LqSDjCWS8aC+8qmUjWAIwtMKH1WYvGamLPaamotDBF0sjYlhS3iYWFraXYlCJYl2HGYp9DRt8pAtLVTPLlY6I54KQwqFTZnnrR/oN/1pGow9GsCmMe+IvKYSPBtK5pvFyR97ffKf1LAFU2JcZrY9wfW6xVbL4wUaYxmNBvQEguItzAHMGaSgQ/1WuyccsEq5mwgJZItG5wqKgasUADMY5lYlkPLBJd5mIukDgzEVMscpRiImDMmB8WM06uXsd2O7fxcOR+HmOEvxyx0voIr2UCujJ3zVMAtsq28i4NcPJxaMUb3xrMwmyhAp2Jz85jhILqAtHbbLGCLFsv1E6qBlLIIUS2laujI08g0jZDNI8aYGmWIq18de+a7xPUnnyDDgJ5fkjcb/KrFtw1N2+KCgU8qZn4uzgAxsVMxpp8z1h++yGWLH8rCiDltZpUiJiW4qTdV1xhLyjnTQqdIk2KR+YkFPKGzA3hsMhHVEP5TOdNSJjwGVRZ0QwsjqgTJVZKWMxpnpGnxqzXjMPHzjz/jX/7Rv+Gf/b//iM+/es1nX71iNw6M00w/TpwF4e/+8Pv8z//HrxiGnjwO6LDnf/iP/iHPnz2hPdsaKJ0zfo7Mh94M51NCQlhYSeNNT5xG4mHPNIxMw8D93R3Dbk9OmRACTswfpWsa1p1lJlyvOpCVLY7Ms7X8XLxgfIC2M6PTtityPZPsVXbfUa5YAp4CbutpuZ2muF3efzQScAoiVaDo18/VjmDRowHrneN/Lc5TzsMc3Ookqv4tIm/NaAEjtDLhlmvRYr6v5gNW26eaQbpiwdIGZeWMqTRF097/1vPPb7GdQE3kFCEn2mrS/xscLDjHw37g1fU9H3/yJf/ejz6iaVvGlHFuU1bJDtZnEYTGfEi6AgJfBdrQ0q6vbIWtSEOl7czvbb3CaVlMySeT5GWOelLPlSFd20uqiwEZTRN5HGGaYHeD2x2QfY/ePOD6HhlHbnaRu+jYZxiTAS/OCU/bwNoFWhfo1i2z2kJUzJEzmdkQiXhu50wfla71zNiC1bqFiy7jcuJtn9AU0ZS+pjC//fYf/OHf5uGzPbef7PjTn77mP/2TV/yf/uQVz/TAD9cN/+iDJ/xn/+W/5osPznj4/Rf8R+2GVSMWWI3R+qpvzVdilWGTLSaaHNw4C8jGbAHXa2+eSysxD4gQIUwG2szO/KJES/+eSyb3DIcSPKjaam0sUuBmxNLnaJHVzQaA7U6khWNr6eZ9Aj/YOJ7UVobfuCM4dqU2iQ0KX3hjYzmBbm9t5IsLCw67bNmLZjEWw+Vsk66oZhS9wcb8wRm5RBR+escSwIcZfuRJceB+HLn3gf5CePrRz9h/8h6Huxfs9IaVrFnFluFnV3zxg1fIBzv0pz+g7z8n+BvO//4D7cce/9bzA/mKT91Ldrzg96dfkHlJbrfw0c/48otLbh7WyLNPmfaXTLfP0S962kYJYcNn+RkX6YYr2fGpXLFtM+chcvfRLenhNW6nfOThfu+4dw7+9s8R/gH+578P19GAnIuJF2eQe0c6CPLyHPdwwN1PuFnQQ0PqW/yP74k+MzslrC2Nus8T4eWKRjPbHOlp8U2ibUbOpo4pKX2c2D7vyCTmeSY+NTZSM88czhM5e8grnPbktRCvPKkTUkrIcMvqoOTGYhe/35JXibiJpFcvcTHRtg9wr2aY/oOIOwT8pIRJYYqmfBhXpM1obK0B5AwzMu/NW5JVIr88kLLgJscKjxwcOTumNXzvo8DGedLkefHEmQ3SnfLFXuldRD5IxIdImOFZ7NhHY51vEXYuoU45X3fMXpk99BfQtpnglNg3fLXtUX/Ax47VLuOmzNn5zFmbaYNjbgK5sYxl8//HET5s8VfBsuS9VLjsgc84Mmo+whgnPRbcD+WzykARDAi4wAL9P8UC0/NynH35bvWXWWOStyqfWnMElPYYm2KHsZOa8vkZNiOuAFJlw9xyBK/OsYHivpxLBa4qEJYxzW5Na1+liBUIucRkcD9n/Opj7v70z/iXX77h7i++oP8Xf8H1B45fvHrgX/3xK/7h977Pv/cH7/Mf/0c/ZP/5f0WKE9nt+Qf/8R+w/e4zeHYF/qFcT2un5TJsop1njjDfQ/sV9BE+u4V5Z5LeLyLa9kYCuHcQg93XPgDuC2Nt1cD3g41ThxvY1uuNpVy6UobPOGYprKDNqZTvN7g/L1u9b36b/epv1bLv3vm8zqlvOYKcFeSoAOO2PDLWNq45tinFrrsAVWSs3TQYslIBzOquX+Wm1YPqtvxd07jAe+3E39tc8y91YHpYIYdnPP87ibg/8Isv7xn/YqRv4WG94XJ3R3aOh5WBaJcP8N618ln8kjEF4udVRhiR7ks2/YEczZOSTwOpGbh9/pfcvv6AZp64uHlNly8J4dyASBH6bcv9+1vaT3coMF6tuL0W2nHmfBhoMc/Km9WK+XlDdoHuQXm1+0vefPIA/+qH8D/6W8Zivntj7WWtcHsLe0vEQW7gYgVPHcg96BakNTCLZ+UaHrDsh1usXRUFDC+Bz0sZfsAx4+VXZf/VSZln4GflPQfsIL0x1vF0C1+kkmxktKQoY4SHgTgpOZo6bbhOzCNc/OgCNrN5Ux4auwY8bKeywNjAJhmQi4PmgugyUZR1atmcBzZXa148v4W+s0QM37B9a1BqRpiAEUd3dsH5ds+LzT3t+gyAX7y9xrvAShWNE/+H/+aP+c7FGR9dnvF3XzzBq1gGnhKYp1yD6zJkJctldlyR12NcVNksUuewxairMFO0fM2LmoHl4pliEqsHl+i8f8yqAar9tWXTk8KmUmaUMRtDKxaZlIFkWlKkG9iRqtSFmgHJVtGPchS7jhpUHY1zWcCpvpxTjcnNUwsEx9PU0aeJIYdi2gtfh8L/sv8I5qUEJyyrb46c3j3ObxLwVE8ONOGcEBrPJ6+/Ijx5wmq7ZeUMdR3VIMhExgnEBfHNLBbicmRYiBQ/SG8mzXPKVhfqoYKbzhs4hYEJImJtQpStK95m4hmyAZxDTITCp5hVGFJmzsqUlTErKUNyxdNJCzglBpI9KmyUjBS2npbhv7A5CrikooS66K+w8Y61Ey464aIRVt6y/LYVkBIWYDOpMoklbRCBmAtYqrocr7Qs+yvFV6e0PyfFH22ejQkgVtdNkdN5J0vmvm69pu06mq7l4uoJ682G0AZc8EvbTslWAu3ox4QGvsj66uulmJLJZax9lbTxcsIzE1lArupBxZItLyNLNoDKyslFqeiKP1MuTadW0Ekb5ghIVYDv+Fntp2XilHNhx5TjFeDCdR39OHHz5pr/8//9n/Lnf/kxf/oXP+ertzccxpF+HJlTNo8zzcRZ+JPPvuDtf/FPSdEkiU4zr/uZ3/vgBf/+j77Ly/ffY7Va07UdcRwL+CGknIgxMvYD4zBaZsRoMsFpmtjvdqC5eFmZCWPbNGy3KzbbNW0baNoO37XGkFt1SLc2NtRqbZl3QjCJYzU7LwOiYVK1T5XBNp+yjer4JUfAqQJGcASyfmm8OUFuKmp5Ml4cT6AeVpfjS9ZH75U7QZFivvNZZTzV88p5+c5R+lfqurChtPih6dJK6vhxbC81U2RdhFjaTK7nsXT0b7WdMlH/Klv9xjjPHIaBh91uMf5eivZbHcj2H2Li7cOBP/nZx/z4w2dcrhoD2zXaGBJWi1RXRKzdVEalszakjWW7lJK9kgpEpyM4fnwcy+n4qXIcBopUDAPYDRALuE5QH0DMlFwR0pRI3ph/Z53SxUxMaqbs9m3WorhsLIgxK7uU6VMubBTYimfvHBqUxilJFHGOII7eC0OOuOQ43ziCOkL+7UApmY29GlcQkuM73w/8B6Hje/vv86Rb87Ov7sjvrdicz7j5S/4vrw68F1d8OK/58QcvcJND54Q7BxkdOjruDnsaGjbSkeLAPME4CHo1GyFqcLQHM+6WJGxwtnAWErs5G6mtieh5Q3YQ97ag5IIz8/o02Y13mw38QmwCOhUwaqUGPEUDSrktMsCzaMaqdZFhZcwmzUKcIyQIeyUdBnBimeC+DOQEMweapjFz8rkHV3rlLeiFtXA/KNIYWJF3DW6M1gbzxm6UDjhbwQG0H4jxgJsycnDcv2qIZw+4zZ7mjfn/ZZlpnu+IeUCHSPve58z3HXL9IaFpCA/X6Linz5n09I643fOpV9zdDhlGxuuEtjs2T0YOv1izjiNtGulbj3MJh3Ilb4kusXMNDb2N61Pk/c/g3l/Ruw3t7kuutpGt9Kx+kXn53QdWL17z8b/+hBcvL3hytYbYWHZMF3nWHJhdJGrg/aTIVuBJZtd7UlZYZ87U0njTNqycEOaAnxtC4whtoG0D4aDsJZMlse4CMWVIwvNNa97Xk+KvxFhuDwF57sizkB48eQ1JE/O2ITyLHFLizT7i28JwenAM471JPLOSXRm3d4Icks2cWkfqFUg4RvIhm1/UGkITkMmh9zCsxZSq1y1n55lt4/lgu8W3Drd2uPPAapSSP0SQTURaheC46hzn0SExMzUbRhGuUy6ybGVtCkayF7pzaCSRnbJqGpx4XBKYIyllsijN2HPmVzRty30MnD31rC48+TKgakB+2LyHe8/D08GCuC4ak0LODWwmA19CBfD1zgI9KcyIZT4zwvQAaQWbB0y+9xoLTCvdoga2Dvi4jjrAZ8tc0MCnKkETjsFvBRYaDHSaODJgqrSwZse7ZDFSJmLAUAXYNhxN0ivQNWEARiTnn/HH/9f/kn/3k7/gX/7Zn/KLrzLj3UB888C+i+z6wHXzPn/6+ppfDCP/1RcD7eEOlURqhf/VOfz4zUt+8Kqnfb7BnW/gSTDgO0cD5GOCfYYv95AGFuniPNgiXc3oqWJSlTO1yfd754XK0Ziv3WVjiRM2EzRPyjWcY6BAlaptSl3tOII8cJzzVDDo67bKUPpV84fTe2g1hXfvfH8sdeHf+c5w8v5p7Fjr33Fk01RGTd3nslxnA1yDFhnoknGvvL88r5LMCoJWQ6Lqt5Vtn3mGvidpT/MWLv7sDHd1gx9H/DDyEGbyama+nCwDKAIRRnmJrib0akfz5or9auaT9yPzq47Ywnw5Q3jJNk08HW641YYxesbBI80KkUh7gCu9Q73ShxWHfqZ/O3H5sw4mReeZdH2NJleK+YHpLJqtm7Zm+a+OF1PDV72S3MTUJ3Zjz1fDnj/av+b30nuc6dbujVKYvGfrsuIfIJ9B6Ev//tsnZd4ZOIUrZV9BtrrV+q+AYAX5RqzPwxG8qgy+6aQOmwIwRGOzv7+HixE+cbZIpRHeA3+bcXvABdqXMyElW7yq2cEj7OfMmEbOLjJ+VPyEtX8B9Ub3cR7atoC9MqM+I9ohzkP7zTPUbw1KRTWfHh8aVqs1TzZr3j/fcH75hHXbcD+OvLy8ZIyROSX+6NMveXV5wW5OnK061iEQnE3qjY1iTI8aUOeF2XLa6WwiW4GjmsWrGo8v09sCXDlnk6wl894J0Nz4IotyRwaRiBzNrAuYpcCsmbmCUXoi+KjsJ6rh78l5lD7k6jFPr0GxQHe5IgwkkHIrqPJBV5+bx9VEQ6Q1+uG3DHp0CdweP05/+5vkeO++91cCp/Qk6CqSyZv9jpebFXnVFWC6ukQZolo9XrS4hSd9DEpVqWOHUEVGyZX6yZCzLDdvA8WqzxS0oqy8cuYdrUBTJH5TFvpIydpiQNT9DENW+pg5VB+RXNYFtIgatAJLUiRvx9J2QBAhlHcdhamNtbGmtEknyqUXNkG4aoXzxgD7la/su+McQtXOYxRosklJ52z31DFbPFCBqVNQKltjOPYbMQnSqSSrbTzee4LzdCsDojbn57Srjqbt2Gy3+LY1j6LiMaQJ8omPkELJ2OcghEVCtpAi1Ab8HBM5JVTTMaHBaTa8xgzVs/e4rIjPqPOW1amUX23f1o4tUYAVUvEBqjKXpfCOjV+oRtmlF5wcrx5jkXBplXbaZ2OMvL6+5c9/8nP+yT/7b/jJx1/wiy9e2xENSbZxodRdVOWr+x1f3NyBWvv1XmidY3f/wJUXWh/Ybjb0TQPZAKngHdM4Mo0Th/2eaZpM1qdqjKkYGceRtmlwztGEwKrr6FYtm7MNm7MNoW0ITdGHF8YK3domW20HoTuWuQ2mpeXaGCq4Y+vNYDR2jmUMZQJtky6tgOBS7kewUZcEEad0olL+p8BWmbhI/XhhRuXy83ry1VKLubIijx1FKQMC1bA+L8cTjvLUUvGPfv+Unbm8LscXrek0akMsGTzL10U4JtWgdq9vN2Z+XfbTr/OYWu40IswpMs4T4zg83k+OcuJv2lRhyspuHPn8zTXzPGMtoU4iXQGGLcmBgVINKuYpR5Xj+TJhEQfOs9wtK9sMWNh2J8DUwuhc5uOlzUn1BsPaXK0ShCye7Bqyb2DV2SJEk2iaRJgjeU60ITFmMy53OS0JSOac2aXMoWSdiCr0rkiciy4zqzEVnffM3kHySIpsxLL4tfx2oBQpIx782hPwvHjZ8Le7NT+4u+R8s+L2MHH2/ILVemB2PT9/eM1u2DD355ytrljjaVXZrC0zaZ6VYUyoOFZBiTExzzAnzyRm8CvJI3M2MKEP5rncKS4kY6c7pZVEWhtDbBqhI+NbR2gFTdGYZ7YaYlU4JNIgxsxqCzNRjZ3sRzErHKfGdHIOravpDpBATtkmPhNk5uIbrLBr0RnyZkSjKze/CJsyh9o5dFUAp+zIERu/JofOYrHhurGgk2yJH5KDsUFHLbGpkHct+tTYZqEJzBrJTvGdBbSaEn67I+06JK9x0xo/31qyEOfQdoTtxF1n/kJunBn2sNnONG1GX50T6OncRNq0xqQXZas99z4wukCQkcTMpJGLwTG2DTGskFEIMePJvNgLK98zX9zx9osbtqvA1ZUlNLEM0JGtnxkDjN7ThoR0oGvl4c5Zxl8HaxWcC6gXusbRqCPMDhpH22Y2nUN1Rr01k1XrSMlkbZddi0PRVWb1JOAGB9nBex15EJPKbDJJPHNyOALtEBnvwDeOTGYeHZJmNAuShanNZKe40SNzQrwldsmzjRHiMzIZsBQ66IIBQrYGaX3WZ8e5j5w3nqdNhw8gK4EuWLa5COLV2qG3QXqDGLB68CTf0otwN8203pICtSvLdJ28sFoXR0IRWrwlBQBmcplzYvLgxtGGhlmFbutZXXp43hVQvjETqu1sXmqNt8AwCxYwliBTB8zQ3EPuwU8F6ChjogLpHuYJYgPNzBJkSCzjK5inUVu+e48FqB1mwlYBMOEIYNSMeStgOAEfKtumSvnqID2W14WNITVA7jF2ez7ZP3MEsxxkZdzdsHv1M/7tP/9X/NFP/pJ//rO/4O31Fs3gfeJ2mEj5DNYXXPdvefN6ZPdlYq1vSUEZVy2//5MtsR95+uB4+sMXuGfZAv44Gyg+TwY+3WX4eILpgdwk0oUgU0RSwunM4mXYeMNpLhq4WhfWSgPTysaSFhuouLDy5RLkopRrLaMKzlUCADyOvE63UyCqPvcn+797B6/71ax5JyCTZiv7pazrvTuzAJVyKik8rftyTJ05Sr4o17Au+1YWVD2v0/ZTgdAlqqTouE/KJT6+Ds2QZ7ImXK+0N9BczjYvU7OmyFnJQWlDxhVFdh9W5DaTu0SQjqmDwxPY3HRIyGg3QtMQZuUset76hjk5UhLwLSE6Qh4418TsYbf2DDoxDSN6vULF1DvdQ8SlBvVKiCPZCzEERr9CiKxV2CTwk5pFSswcNHGjE5/3D3wvDpALiBuTzYvWK2P5iofcgput3fEc66OZI6NJOMryOPlb67m2lWo8P3L0hZt53Fc7lgQCZZHRxp7GAs06vojYHO58xh2yyf6lIXQW0aYHxQXz7s4z9EPkkCLtVVF4RcNsxJuXdJKMD4JvHKhHXbLrbbtCpvvmGeq3BqU0wdP1lmfrNVP6Cj54zvuXZ3zv6UtC8PjG87/5B/8+adzzcH/DP/5X/44vdnv+iz+75R//8U/4+995yX/04+/y+0+MWZVKdrQFWlq8gEpHXfqzLoF2jY9EjsCSc26ZmNvKf16+KmVf7xxTNK8WJwtfqfgkHI9f9z/aMAlO3PK+kTXUJtTH2N72U5Zg/LiVm+zXlWcNqERK0FNBDFey+nlC01qWomZtAcBfYauqlHTKFvgdb18HblXgrvGePibe9CODc/TjSH93w/c2gSFGDjIxuGiG8JqZvQUPuYBK1abGU1QITrhwxo48C4LXwBQz/ZyI1Y8AwZHpk/AQhSYrTxrh/ZWDmpUvZbaNIsGhTYt4RxwTw8PIp4Njn5RdzAyz+ZLFnBcp6VxAqlzZfupL6vFUwLMiIzZsDY951PmT9tSKcOnheZvZeuU8WJZGX9qlZTmrtygD9+ZsHq9zFqbkiWomfPtkgWVULSa+RXK4HEcIxQi8spBc8DjvcCHgmxbvAz4E2vWKpmtZnZ3hS2Dma3+aRyLxHfChTJmcL2CSM+M97/En/QNV0jyZB9I0Mc8T1Qi9Wa0KiBIMwS/jaY4jkh1SM8VVlmHpLziHds1JAJwWsODxnCCxmLDXj05wq8p6rMADsWRwEY+mjHQdslnzb/7bP+Kf/LP/lv/jP/7P+ex+b1OvrsXr0W9MyrFy9bJzFghgJcic4Z/+7HN+cXPPOAys48x52/Cw73n28iUhNGjODH1vTLSczXxelVxYWM45mtbkeauu42K75ez8jG7Vstqu8O3KWGZNY/TzpoH1FvFdYbX4Mo4UpNSbhnxJfSly/Ow0s9sC3tQ/Cho5NRU/Drr1OCzAJTmbNPJEElmBpGPmvjLhKfV9ZGKVjlUzAp6e0+lAryfHq8d+xI6CE8ypgE4lFfkCitlzAxvt0K4kEgBLaxudJWtIOZnBPPxGUMVvKrsT55jnyDxN5DjZGPGbHEsL2J0ih+FAThOiJrc4zUApBdCrnmO1jVh/TOV+6Gxi90srv7UOT95f+mkFskrfX87L9pd5gnlCdz3TMDCPE8N9X4IKZdVuSa0jZmV/fU3fz4xjZC4AliIcUmaIMEZhnikMP8h43s62+LF2sG0bNo1DHPi2hbZhvd2YL0yMPOjMwVmylvf+6iV93MLMxXnDtrnkzcOBv3V2xYcv1lxyRjt5utjwjz76MWE1Ev09/+Rn/5ZP88R/rW/5f/zjB370wQX/4A+e8g+bc9KcORwi4bIhJ+V+d2DaBtaN41kjfPo2sV4Fnp93DOeRacyMYeLVFNngeKrCelCmlHmbM327J3cO2Tasbm0OuXY9/SHQZMf5gyOe75FG8Xu4/SyTRHGXxjTR6EnDiivXE4LAri0glsBchlYHzZkauJcF2TU030smc8gKoceJmGQxlZWXCXjPQAV/5+FWoIF00ZEGW5Vpm8lWZb3AyxmuxSSBDLB5gcQV3dsPyHoDK8cP3BU/+6LnLk2wjjTNgGpg/ORD8vozaB7I1y36/g3y/Vvmy/fwU2R1MBZ7cx1oDo7pO9NiGr+Oa7iDsbSxoW3ILVycD2zPhfXG+mjfg5sUXU30wAOOtx6uvnzDe29em7hqNj+T7/9AePtezx+dXfPD5rtMek+aZ/zZhWUnnO5hm2g3gVYbaBzpNjJ9FXEbRzMEwl5YfdSwnRzP9sCHHs4yxMxmFWxcnmZ42XGVlas5m8eX68xH587B+QwvRjh0sEqwHuGsQc48/sLDKhIidHuBz85ZaebJk4nGBe7ngc+mmef+nNApfjPw+WqC6Njen/GwPoBmwpyZuxYcBM0MQ0CnDNNE2wqd86zOAudzott43vvDbfFlAS6DTZByBg62INN52DoYVuZBNipcirGUhgtcM7IV5Q/aFUMSolPSxfr/z9t//eq2peed2G+Emb6w0s775AqsxCBaTUoUqYY6SGihYcA2bF/5omH4zhf+F2z4yveGfelGy+i2IaAhqwWoJVNNt6iWiqTIIousc06FE3feK68vzTCCL94x5vz2qVNVh1VUz4N19lpfmGHk9xnP87zM1zuUC9ydFWxswxA06kIxayLawtVCxijlQS0U1taYquDuwyJZ8lg4vA9uI2DRHQs3EVYR3tlIm3YKNsM0LoYKigvQKWistPg5KAO2EdDlvId6LTLc521abBqo74qnmgb8WjyQqmSIzAwBGFZSLuyQQDgzXF5DgtmL9PocAcs2TJK07zEBFUfpvRskqM5riSKd+yx9rk2fcekct2H7T/ngn/whv/d/+V3+8PKKnfc8xDAP92jqlpPlKb9fwroCqsBDb5ivBszzS577wKWJXFY7/vM/eZe//tFz6rdafitGDs6u4EcfwPFSyqlVAkrvAlx7MD19H7hYgb3RlEpxdKDgHuLzYyuYHwoodaykrpSHO3lWt+m570h5qmzwnRlqDRL8HzIBC9Pmy48fGbQpmQCfGRPolOTSsPf9gDCxYGLDKGTl8WLvcx0Ty2afQRUZzfNZ7Z1/lv5eMQFJOt1XBj2yuT7Al5nYWnfS926QtjVPbeICAUQaxHg/P8daJOBzjfcN3fwZu9c/5N6PBi5ncHnL89oPIj2Wm1KAtLn3HA8DN/fO2BjHTRdpjwvszFMDd7u7dNue89058BLtG9zwOm0IBLNjNruhbR1oD6WiUPfxs47u4UvW9y9oDwI2BoY7LTNf8M7T1/ioOMNtWw4uI9umYlAzunibSr0klC3dfEOxrjC+oVZHnJ/0nC0Dcd0St066z6wCtU1Gr4sE3kYBAOMeIDSWzQETw6lEMh5uU5vKYPA5cD+Vc2bN5TaQ29uMiZ12zAh4xytQlzI+vNwIm6FH6mlRJdBsk+T4ATYegngnXukV88ZQGs3VmWPdD7TRURxAFwc67VFnPXNbM6sqONY0lRZQqowQF7KJ+dZKxr3+rxCUulcFTjctzzYtDsWtSnOC4sXVGR9d73i0biltwd1SsVSKv/vl1/iL52f88ZMXOGc4KS1vLRqWpSUCLhoG50XGFyYRR9gDOsZ4BDXK7ibpz/SpHBCK8XXEaIVJAUwAXAx7UkGRF2T50Ag2kWOpV1Np78dYkDLnJXPQfZN0CXrj+P3JDhsBvtQIr+3F9smrhCzZkoFMnFESM0dprP28VOyfd8Rx116l8+8H4v8ujxizGDL9bkt8COx2Wy5XK+LMclRbjvyaIQwsGOh0lKFPKdq0Dg2J/ePTOtUozcxEFhZOEoBTaoU5KPBa45XGn2/F/DJGdDR0TnEwQDVTNJWiafQot4kuoJY1aj5DHR7AboO53lBHxyIE1CAI8Uynjh5fzQgVQmL5xUgXgjCpokUnGaJWEaIwu0oNMxOwSsz+jYoURjGrNM28pqgK7KxGe49yjth24quQ6VjoxJQKlEYke26vfJYo+uR55aPK9rT43GiVkqxrRgzKlUl+RQkwUQmsUkZjlEf7Dr/2hMSk0dpI4KiUmJYncCiOHjECCmfGkymMyO+0msgRKoEB3hODl2AzJOP47YpQFPjSwmyOKUp0YdM9J+aFyWLIqSErBfhefKaUls/o/DONBaOJ7zSkkE+jVMZB9scSDTEQo0PPZuzanotPzvmv/vE/57s//JjTXYeYspI80BIA/pm+/Qp7JUrQYpT0zcF7rjcblstD7h4sOTyUnRMfPH3fEdxASFkRQ/DjuarCUBaGWV0zqyuqqmReW6pCgmVCGFkNan9YT5kuBUBAJkhBE8mAuXgr5X48pM/HV8ttH9iOAkjonMkyiFcTzueS57OMJPWZMskMtWlqTiOhgr2UmJAk0j/2E7JoTu3VORMQlQyu9+t8IkaNv7APRgmbKiSu2ORPp5HkFUPv+Ph6xYvtjta7cVmgc3f9bDP7CWP2j7Ggfsbfn32vsJamqlkuFiKZ/Snf/YlJLeTTaBS1NbJ+QuRu2uT3/fjJDEBNDMXMrpOOHsdyTR0+nf+zVxSKGdJehpYwiOxLo4iJTekGh0/9IHY9QzfgBke37WUciYGbEBmcwzmP27VE5zDe412gjwnPcOIRV8ZIFWPa8FHE0uCVJGCoS0tVllRlQV0XlHVBWZWUTSWsT7lZuZdf0FOKJnB903PxsoUqcGAKDpXm5qzlvZuOR5uBcl5xf1Fw1MCvLl9j1l7jL6/YBcVbdcGXThqMKjBzjz4K0AeGQtHVsAxi8owy3DppcEPg8qpFFSI/PIglm0OHtpFdEdDRUDpN4SKzfi716yOmKdCVkkSdd5IHm/fEQbK/dt7THFroDf6qpGgkE25MZtMoJckhjADyoXfoecrYGkR2h1JwEFGdTTFQEKm2Tf2ya6X51RquU+spHVSRaDVaR1QGrZQV89s+wkst2+sF4nHVRfADft4TbWDQnk9m5/RRUfSKrjMURUBrT1GcMyhLUEuGo5ZYRWxQ3Ht8xfM+cF0UuL6ndQt811CcnWE3Ht15fFmCn6NDSVWu0CYQo2K7LekH2KwUx/OC6Ab0MHC0gmDFqPdqKNhtC3qlmd1fE+KS8HLOZXRcHR1R3lmye9gRygWaCtYroBNw6aZEtVGAJaXRlaG8pbjdRGKtUZXGzI2oxW5HCcRDlIDhbSM+ZbGB83Uym9eMXo1ewX0PCwNHc1GKdMDWwN0aVTaSacps4GoLnw6wdOiQJHedZmZrXptpigOTVGklZRygFbPg25UluIDfeMwtjS5kPvaVSIVVU1KUEV1oTKOJvXiIqmaARSmeaQdKgr0hCGh5pKTt7BQs04LpOkKoZRw60ihVSDBWOwqvsE4RtyWlLYRhZRXVXFOiwYG9raBULFc6gUACBBlfiFdjpVCtE6qhfilzYURidqOErfXxFoIVppntxdvNq1TmGcA34qfWRLlGX4knXL+CTfpsW0Bw8tOeifdboaC8LQDdgU6my63cQ7+QwFwPCTeReU9SyOf5oWTyAmoQEOQSCYDnTCBDBk7WMieM78PErDJIB7wL/Ra/eZd//l/99/zZux/x7SPPi+MFZtszv9riNpphKOluGu51FfdUpImnLKJHDwZPSVhuqGPktY1iFQpaZbk8jPh6Ie2yiimTmSPGLa3v8V0gdpHZYcAExXylKZTFWg0GVF0mM+qZ+PQNwPUWmiYx2rIcsUQAnVbKJwayrFzAKr33kz2l5kxyvgOmeTAzySJwJiAF+VznyENkMCmfb5b+3jIxYbZMQMQ+syaDg/m6KwElWDIxbRL4obL3UF6onzBJwzLrivQcGZS6SP9GpqyKud6zH1kl78WLxJZOZuh6BjtPvBq42r7g0XDF9/DcNBHPHLs64PJuIO4icRVwJ1uuXWDXRvzqFkH3lPoSuAE70AO71wf6oWdwA4fmNrRwdnOF6g/RtWK4M0A7EAZN19WcFmuCcxRnBdWyo7ABfumQ+LvH7C7XPLVXDMoTtaatKoLSNLHnvnvBsGhxOnC9LYmtoyo3HD/wtNeKcltQ7RTaKAHtuZEyUgb0OvUdAzowyfS2e3WWvaRIbWqRyjgDlbmecxuCiTH1NCUZiVDsYOWgDdA9k7FRB1htEEPzHi4HGXcGBZtW/nURTCfNTylYtriNwXeKRTDYFrQJLBaeyoK3hrK0+KrE24haWOyBxcwt2CW2tDLPGC1Z0msLR7fhegdXuR3+5OMLg1JHVeRi3bHdrbnsIrdt4NZM88H5NS+u1nx6vePR2TnzoxkPDyru3z2kbdd8cqqoyoY3DxoeLgo672h9YOsCy9KKpIkg8sBUBZkpQoI5shcUMQFSoxG0sKtko1XCGquFiluYBO5EYZUMycNqzKCTQBStdQKn0uvpWjlcktfl4oo91ouayAV6vN89I/N0shizt1McpUevHDHusRSmb0cmwq3eZ4V+wSOO/2N8rvHXn2dn/XOOH5OepNOGGEFpYXv0AxdXK9ytGbNmTtN2lMZRFoE6iHdX5xUlEa8g6CgAS5S6MwrmViRuh0VaD2jQczOmtHfrTnyvU3BTaUWtFNVCYyuNrYwEQUHM1eNBA8sZ6mgBakB3LRSKyqpkvC7gkVZgkAWwJvmXhcySirQ+yfsSeJbZPLmdVAZmViWTf4U1Bms1ZVOgD+eouiI2DXQddL0MCtsIg5fsvcms3iiFQSfpoBqZZI2SLH75dUcGpvTIlIpGix9LktzExOZTWSesAJXQwKiIQz+F6EpPwI/KQEECIdJnxOhfGIUm+UJloDYDvkbb6bt+SNnmPIEgmRoKi/UOVZaQgCkyMGWKEYiImaEB6TkUUQkTLNoJZBs74Ngx1av9bmQ0xr3OJQO7PJd4x12t1vzoRx/x7T99l09PL9m5IFkIkWQNnwcdxM/5I5eFVsJcXLcdZdWwXB4yj5H1ek2fdnp1yECPR3mfyk/TFIa6tCyrgroqKEsBpAqdgFDvki1FhKIQECgzlJST1z2AI+qIytk8Ylqj5qIKaeFFZPSVkk5OlmTFIIbzMXhJEOC8+Ia5afd3lFxnptsIkqagZ++a43CUf8kmgbkz5UMztutRsQDj+KlAALXsOxbz9/N503PkP1T6yUy8PPomqWr2F1NoYvA473m52XHVdrjghRE4nvinj6k/CWj6ebylVDK3F6P7PAb/9Ot+3pivUVTWcLKYUWgtzK8kmVOQmEV5B3VC3pQOexWXwGqVbiKB8mP/Sv9MM19aBIcIQ0dMgJICwiCg1NA7nBPJb+wH3ODxzuP65OcSAn4YcH2PH6TtFSrKUlpNiSlKrVBKJIVWS/ZRYwy6sERrwVqquhDPoLJk3pSUqW/ZqpTPGtnQcP2A7wd+oaOO9PRsdy2d8xw0mmVpuNzecL3Z8XQz8OLqjEWx5GSx4OH8iNVFz4v+En1U8fCk4vZRQXflGeyAq3oOfUHUiqGI1Fups6g1s0XJbjPQrjoKRC5daYNvAsF4vIqYmQTjeogiLVBRvIpqkzLrgK2cSGXbgAqyxhqILEpQQTP0BUUZ0DqgTRhZb1FS9kCMhOixhSRloA9T+yhiSisLdBoOgjS1QU2Acq0S+wGZp2xE2ShtMIQU52kBGIgSuB8GCdJDIVmFgiPUjmgiQQW2RQ+mQClLdLIGtAqi7SitJdgCX7cQLXqnWFy04DVdpVHREkOBGQqKlUYNbmSVRmVBl1RaScynI67T+AGcUTTUuBgg9JRrTawiplToXU3nDMFAUyvUpoD1jD4MuG1F21vO6dhZj64MrDtQg/h5XSWZjHYQS3Sh0IVmUQm+ES2oBlSdgKgcsyoEvCkTq+ZqI4uWqPbGXyWm9DMNVQF1J3FSbeCkkNfKUoKdwcouXOVRQWOMhhpKbyhNI8yTEtCWpk3eIgpoCnwf6dVAdaTQI1HEyHjSKKi8xLqHJqmMlFzrpIZGw0xJgN95aUtFlB35Tsn3IvJ3TqAyVwIOGQ/LQbxKOwVbS2kTIq88Rakk9ltGWAp7qeoKuaeMLfRa2rkR9hl9ALtKwZ6W1+YWKgXtDnwp9zFzE/BHlN+DFqq98wIQWgW7VvqG6RBUzya1ToDewXUnMtlKQZmCX6UFsFK9tI3WQtFC0cs5Ryyin9ZJ++CJugdsQF0jWf5CWiRcMxmjbxk1uHgmqeC+TFDRb6/ZPH6f7/7+e7x7dsUjq9lViiY6mg10dSA4hd5VHPQ1lpYqbNE2MGDZKYUvoHSKg8GwUxrfSvbSYEtoZpIh6Eo2dDEDvve4PhBdJBrxC67RFIVBlzq1UwONEdB7SGulbS9tGiP1pnVilme5WsqwF0nPmxtBQDrGjikz4ZoJoMpl4pky9V3IvzEBWu4Mwg3oa9CpHv0K1BGSYdAhGlUQ37Eo38ueQgomIKtP122lHkdJpkMAjwpizuiWs7Zl+SVM3O+szknz/4/5GmUQUqfv9kwMsK0MPmR54BE4A1vPZnPNRbfjRYz4QmGGErtbsj2M6NBjrzuiDnQmsjMKu6soDFRlifctzjm8gvagw3c9eu0xc4PXnu16h9ILlI2EKoAZiK3F94a22kkm1lWBv7KEOxYqi+4q3LDhqthK9wmgBpnHTAwsgmetPA5F2xv04FCVozzYsbguOAglB2YmgKcNTHJcIHZSf6R+NHqC9XvlF5kSDMyYYJnMqst14Jhkk17aRLyRcSMibW6I0HpoW/mOibBqGTXH2yBZ/hwp7kyXiam9V0oyvAZNRFOZAqUCqEB1oqlmaSxzhfS7Rkum3CMlvmz+QGxDrJFHmxUwL8QoXRepTfz044uDUgvP3W3Llb7m//5nT/mPfukOv/L1O1y//ylfvzPnd75+j4+ePOJr9X2+9ZU3KULL9cpydmfO3//1X+XO4YxlY/kv/vX3+M7zG/7ifMf/+e/9DV6flxwaxaoXGYJSkxyPqBiSaigiwX9E+rFNQFSI4hNltKY0akyNbrRCK8n2V1hh7e5c5HITOG+dZG+LAmSgUvYwGIMnPf5IZx3lgik9skZ2yHPMMzlPIcFt2vnwMYzK2+l18j48IYEdQSkMZsy6DCIFCsGjklTkJx0/5gE1chXUyBD7d3l8XsDTDb0wmqLjT9/7Id960KDvvoHarrGhQAdF3W1Z7hzsPH1vCAmMyhI+HwWbqKyiKsCovPjThC4Q+4EYB4beE10g+ogx4is2n8uuGwHCxhHjAFajKitSratrOD2F1Y7Qefo+UBCYm6SyN5IFr9KgbUSZKOCL3IAEKoGpcJN5VHAB5cUny1qFWsyFTt0UqKKEqiYcHBJmBzLhDQNcnaOqFuY13NxA2xM3vWRlDaCCSR01EhTTbnQGEnJdo6UM01o9xMgQvXhfeYUPKWBASQr3dJ487GX5Xwx7Bupx6n8hm5UnYG6KS6VPGDMxEI2WwVYpsMkDQ66RTNcT8OJjCpCqGb4oMEWBrmcoa1FGo0yRJLVKPGRQGSNOjU9uQmuNNQpVJrN0Y2VwHFN0xvF5xzScSoG1RG1RxhJCQJUVpml4eXXFv/yDP+Y//y//P/zw+RlDCFirCf5zgOXP6Q+vev3kJqLpfeDpTcvWA7bgoKnwXYd2DmUKehvwSuMUmMJSaMW8MsxnNWVZ0NQlRWnFiNjIDgaxJ/ReJqSiABtlLRWK5JPTi1SvKJPUKxdg4jaOgBMjQy277euReeTF38V5QtsytC2u7+l3Ld45kTt6nzBAhS1LtJEFckzgnzaGYtaIfDSBnRNjKv0ekzG/SSy5wiaZNeNaSW53aphxBJEEhFOpjlVViSF3Gp9UzKNuXkiG3Bv2wJQ8YKbPRGFcxeDx3vNkPXDV+XGZxt6//2McWgnbbtP1nN+s8DG7Df5l7iLiIiwrw9t3DvlPfuOXOZpVkmUSLwu3VCfgiTowslHYm4RDKoVx48bs3YYay12CrhS8D8PI0mMYUL5HBS+syLpAqwrrPKbviH0HrsMbcGhi1JLkIRh0VWDUTKpMaxqlRNSgItqYxOCUADNqiMaiC4u2FluX6LLEFBabEzikwTRGYdyOz5qet7SW2NT8QseB585dw0FX8Q//2RXf+NqCr/1yw/vtY355ccJv3H2dy0+fsb4H/MoJPNHUu4E7mw1/8z/9daqTirCI/Pl//SGP3IYndcd/9vavsFgUVHVuzxKTMjc0RaQxEWxKG+8dMw14I+yLGQL6qAKKIEFDnMOyhcYLGFEAnUF1JfZNsDow8w7/gXhH1UcJoAyJXVB2sjjTZWJPRgqPBOgqXbcb0v0As10KlEsxVPcKLkpRH8w9HGxF07M1cGaE7dF4yf5nE4B+gOzGKg03rcRjZQF9A9FLG5t3YAIVmrfUjI97zU0bOeKGhbsDYcGjBt46Omdet3y0ukP/vCG04M0j+uOefm44rN/g4NkF9voldHBdFGxLyXM9HG2JheP207tUJ+fo5RUv3/c0Bwo7s3z84jWs1VgbeapgqAaGJqL1A0J9inLnNB9DtDdo23LLH+GLNcMM/tFHjvq1Ob/89hE8SnXlLTzoZdMBB4+Tf4xNoFwD6k6EcpCytQmsaYJkbrzaIlpICy/jpNLqBFDiJMIyBU3bTnx7Cg0HpbSX7Q08PoNNTNhEAcYJO+0yiPoEZGfeOMkYeeThshF205ccbEE7Rf2gEHApeMlWdWeQOWkV4aiEuYEjA5s5NBW8OReJerCwKuDyMbCDO2nMaZENPlIgfxcxzXcR2kbuSSFBUlUIUDGoBJLq1BcQhtG9nXx+pcV0qxoEKJtruDbSZv0Au1rSpR/0shnUAqsBbrwEhwstwJkzsuFz2EndPMnAloKjAs6TJOdAJ1smJemXZddW6myTGBEoKCQzI592kuVyloKeMgpAp68F8D0IYBdw4+S+SidlOatAvUwbEAHUc6nf0oE7ALuF8hQBWrLEKDN6KsR0uUmVfckEwvxrPn33ff7g//2v+OQ7jyi3Jf8exzx2jymV49gYvv0rl6xuSoYf1PzG6zd0beAHzxpu3VuzjS1PNltev1Ich5J7dsG5uib6C262O3z8HWmPi0Eyiw0OomF+3QhoZ1op69pQfsVIQKEMVDMZW2YOjq8kOYPX0u4/Sp5eJwPcEgbcxBAqkEFzk57vKr2mSHqo9OwfSv1RI4PRCwTEC0xZ757Ja7GDdgWnjTD7Zhcwm0kAfxZhvpYEI1st6rg5AoRaI8GRu5K+pTL4k0Gmdbp+ibCwsmH9k/R6k06WZZ0vGT2I2KTnnCMMqjypH6d/XXqmDETumECVO4zm2uaKSd4ZwQZi7Wk/2RFPe+oBYlfj+oLeCSisfIuublg8a+liyZYF5ewZi1nBwWLJ6cVKeFsRroYzFteR15/B0288x1uNpUCVp5gBzKOSdrnGeE3lK26/2dNtS55/dMAHu29Snhe8894Zi+MrGr1i1bXo25pqC8sPAuuqYseCj+JddpfnKN1RVQNrFmL5HwPfWGp+8/4h/963fg01N2kcsNDMZf2z20qSD62kLdpNWi/l+mCvfRkmqV5AJja/93PK6OFGnUCNMp0qyGuHUUB0SlBbMfp3PZyWkj2vHmTMtFrG/dtGxr4LK9+S7CWsAAEAAElEQVSrFFwfYm9bbGnggYe1E6DruJEYtSlg6GTsqCpgkeagACEb/wPuNGGWEdxaPNtOTvhZxxcGpbzvOD6o+aXyDr/xdMXgHb/3wRmfrD2q3VDe9Hz0cs1yVvLWvQV//a0Fb751jD4sWcUdq8stw5nnd3/4iB9e7Hi68fyTd3/Ab7x5wm+9fZvj+0sJYtAoH0YUyjsnmbtCJPQpi1daL2ZWS+8C0fvEWknBuhJkUUvcSVlKWvoDC7HU9EH8ePowBfZ5HW0UlFpL8K/juCEnRAFZhEeVrJOTYW8Gp7KHzch4+oxMBeIYfEGSAIYs+RO2nVYRpQw2iuY1Zm+Wn3DEmLP//Tg4FD7n8z/tPJ93/GWYVTGVifeeXd8TYqDftvzFjw749t05/7O//jpWaaIHFRxqcMTeUawHYtdD1xOceE7EqNAxyi6sQspBblRoilFAJ+0HMtvB2IiySgbtwRN9FG8ChZhntz395YD3Ae88cQhJkudFaW9BWy1MKR0xFlngqZzdCwmqihqzmEvjsgYKQca186jTFxAcsSpguZBAP3hoFsSqhvlSAvztGi7OUdu1TKgh+Tv4IB05s3XNBKKMAZRSAr5POGjKVBZH8m0EypDtnRVhXwql4xg0ZjAqkKSBGRQMasyWGSFJ1iIhyRMjCMAUpO1Z9myylUAecptqIiepIIBuls1pAa5MGDAuJq5XTJn3tABRIysqA2nyXgaklNKS7U8rdK8Sy8qIuXf2IzLJVN0kFlk6f87eGEJEz2ocsF5v+Yf/6J/zR3/+fT54cZHAN0Xwe4Wd23p6zs/2H0masA9MKUqjcCHyeL3lj37wATo4/tbXv8xQGApnxHzWiUQTJZt4lYGlVcx0pMBT+B7jZMdFMaRdGZkgVVSoTkPb0TFlD7VVJT5hVZGkjrKoUaSyNUoAPGOIe6y24ANDMqkfuk6MKAeH7zpcPxC8w+fsdSHLGYW9pvKuXgLAMoOuKK2oGVJ7kIQPwmTRiZFnrWwyKK2JxowEpxBERhW8p+/lX2LElJV4k1UlxcESVdeJdZcWjApGTTNxXHyrsS4z+pqkjqS+HqafgPhJKWOlvcUEdqAmDOuzY+HP2A34y7Ck9v0PnfcMXky8swT9C5+HDOp5jpoZd5YNd4/mGALeD9PAEYEgKdoJAhhGLUGRcsj4odP9pw2iiR0HkcSIyzOf0knGMoHhqqrRs/kIGKvUjuzQS7BRWVRhicoQ0TR7YxFoojVErWX8iBEdRcqvkomtIo6Xz+CVShtQr8yXqe2S2rKU82ek7xlI/0WOwaNuK8yB5bU/39AFz1984njx/BCtdmj7Q/7pxxt+69CwfOOAh7eOuPXOCdVJSeE7ti9aLh8NfP/8A959sebd856v/8YxX/3aMW+/fgiNFXBmVkLbydiGSYCBlsB6C7RRdkxjYMw2Y5CFrfHix7JVcK7gSMyyKYMwlowimhI9cyijUE6nvpX6v0syvSoK084o2Sj2ic2zUHCe2saihy4F6CrCZVqOFsJ+YxchpiBO+7SZH5I1TpKglFEW2llas1RpUzmKgVNZEjFEb3GVpy87hkvNYVSUpeKqn0HcYkJHbGdcXUV2pYF+C2XAWcOz9ZJdsYHS457uaBtHWELcRIbaEzXceXHA5bVmW8DF7StmdUsd4ajS2AHUTeQBL1ELhZpbhmc7thuFGgx2+5RgHFGXrAoltgREPjIb5h9vaS7PeRmf8PHQ84HSvP1rX8aYxCQKK0YQYN5L8NAFAaR0YricCUgvseIgAEmMUg9+EAClSrLuqGDZp11fLR47MJFByiCeUk86YaVdKWHqRKQeMWJMvwzS/goEbMrxcWkRKoKS91+boWxayBRa2unOwuZU2syigHulzFkbLeDU3EI9B7WCYQ2XDq43wg6aRcm81kYZc6yWTtynaxcIsHOUzMLXtTyTpHaWmM972HlhARRRAJqcHKRBZJNNSDR+n57bClhqgvQfHeWZN0lKWkRpwyUCpqoo7Xhlxw3N5HOQkpcpOVceZ02ArRWJ6ryXay8QY29rErCc+kCXGBnaS1lvtgIUbpBAViOvn3thUNU9HETpizsD5bmwwRot5bIphQ1R7JJfF/KjsudQBi5WZNPm4Fv+7e+/y3d+/z3++29/xGN3h0YZ7nixnFgZxTOt2eqapY48MGvspQAbDw8U51tDZxTLemDblyg3pwjHHLEldgN/dNrx1z75gK8uOt54+EAIQ2uN2lVwO62hOy2TtJexV9hkQcYdO8hi95K03jayltdOgMlnHraJPbgpBIBUFvrnUp+1gnsarkL20oBiKfWgQjKlv5ZxpL8R/7Odh6oXYD3uoE/99VyJnNNo8fTRu/QzCCMFLSS1M8Rr7LgWYH/wki5SJ1AzdBLRW+Qe51YWkK0SiaLREK4E4GqNrPm2g5xrqUFLIhzemIOeM7GeHBMDLLPjaiYmVcEo0+MFE5NnKWCFGuQ71hBnB5x+fc7KbYnvpxgOWQvF9hkhOKKC3bEiKkfJjrI+ZCgNZzWc+IFuHbl4bnELRx8114Vh2A2oXuYRfyeiBoW+gmJXEFWkKzquzwxxgLLcEu98ir83J9yeMewC7roAP8f4LQyaNQ2dKykry537AxfXWxg65oPIz0NQtM/gaOk5PgnoLythHl0ocJXUXxkFwNYb6SsGRm/OkWlmmRiGEen88Co7LUslM5jYpDkxythrirQT1acNZdJ5ZtKejzeCLzoNpp7Gc/cgzQcBHtQS5+oIww6lFtIemjUclgJglRvZ4DIllD3YMjEJN6m+I+ieMXC1ZQpQE8sPB3HFzzq+MCgVo8eWhmUx45cfzPnobMv3nm14tnUMYSDGHY+vd3zv7Jq3n13w8H5JNFDNSh6dbej6gW3b8d7LK56seq6HyB9++pR5E/n66wvuLI8pikL2Z/NCyUei1wJI+Qi9F+8gFwlp3TL4iO7DFDwHUsa8OBpSRydsKptkXcHKwNh6WegL3T+7O02K6BzL5IhjXJLGad2eAacpE9SEHyVYavpmPte4wE1BRf4vChNLB4XSASvLqRTsRfZO8jn1Ez8/OMnyDT7nvb+i49XgSoKTECIuCHujbQdenl3y8fMzwsE3pIG6OC4ylXOomy1qu4PtjjikDCVRo50jkoKFITX8CLEXjxMCKKtGeZ1qEE24NcT1TrLp9F7kakMEFXCtY/AR52MCLwW2sYWwo6xBknNYnTYPLBFhYcSIBFZ1hTo+hDqhxYXsFCk3gNuB64l1RZzNpF76nljWUNYiHeg66FtB0gcnC6EYpZMrmWREwje1KwmS8gJG5Xhf/gygdJQySeNZRNJ753Ya2Ae0pmxiAjhlQErhVZx+j9K3fAJYY/49tadJcKpk3UViWeSAOd+qysBUTNkU1SjFFemVl/bvBUDMoFHIQJRWqVJMCjgTqDQCXkpAmbgn7TIu30FaLIB4hL3KdoqktYvWrNYtz15e8a//8M94/9NnXGxajDFpLPjLQLw/1kkw2uBC4Lof+P6TZzxYNvz2V9+ktkpo5b3CZbwsivSzNorGRKroMSFinEcrD1ETyZ4EwuxQAcnK5Td0w8DgA8EraCpiIZIkXQgDSdliBPeiMeJsbAxeW5HrJOmt6wf84Oi6Ft87gvP4YcA7J8w5xSiXcsEn6agCZcZxQTaBReZZWpHKGBWF1ZoBqrTzpxNgFlNbCQn0iVE2KLxz+GGgG4QBSFSU8wV6PhPGlFqCMWL4ntl6MYxB8whKJfBhzBwWIzHmhQEJoMibAQEXAzsfRoZtjt+k7/zssfXnken92JEYYyHfW34NNf3N588FPybji5F5aVnWJYumQgUvWdFkR4ecuXBknMc4JmEQNC6Xo/S5Ee1S6fujcWoet9Q4rpHHoAwM5XEsmeELU06hvBV2aZIfqyQHk5OaSeJLzDtGCQ1PC7/opzl3fw6OMGYPTV6Eo+QzJFZ0xtJQU1v5RetQRWgUeqG591Bxse745OXAowsNbkvkgj95Hph9OuPLPzxnsWgwWlOXM3ZXW9Ybx+VNx5ObUz5+seVHH0X+9NYpxS3N/dhQndSohRZGxiVS3qWBzsmCdLCSlWobJjp2fvZKCWOpiCIJ65TsyPfI4rqMMmejUVajmlSPLpWPSoFzylYsWRxT3Vol0hqigARRmEUiJ1NybzZAl3bUZ4kl0yOsrjrJGLScH6eECDBLoMEoTUZYyT797XphHBgDweJtxBnPsNUUNhCMIpqKPvbo6Cicpt1q+q5AM1DMFFjLRSjpY4cKgf6qp20iw0zDAGamKA1UzmCDjFvbeiObBD0cGYUeAB+Z6Q3RzohlSTRrjDeYFqrdBldafFnQWVJbC1wULXoTqVeBfjtw/foxL79ynzd/+whTZelNXuw7kY1tnAAhjWKU5V+nXmgizDqSnEDK0pOC6sQMChoO085+NLL5lz0u10oAms7Dygt7bWPFAym3J63F42cRBa+oBNgU4CStbao0TtQmSfBMuqdC6rut4HQtgFlZy25+UNIm50qYQMYIaOVb+SEk4E1P95uJPJmVV6RgqVcCIgCsTWIFpTJK7D7MIG3JIOVUpLYcwh4DKf2bwbgygYBDuq5Bzl2oZB0TBfSNCpQXb6g2UfPH4TtNph5h++go7T4gYFOnpPxqnYLIIGWBFsYUKhGA8zZjkP6vkTLvnYBNjRKQOvv+LJB+2GpQCeiySsrBqSShDXLfhYeYwJdRhgTEHmJJ33ds19d8/w8/4b0/e8oPP7lhO7vDgVU0pmUXpPteA7pVzIbAkRrotp5QBqpZpN0VRCsbcp3W9MpyHWfMlKHzPR/dOB49e8LJ/YI3wr1Un0rKc97J81st9z3OTcgYZXsBMPvULsoUjKsojKtWCUOvS+ymdSH9wxgZo8pKxtijIP3DBSmvvgNdSx/Y7qSs+3PZIOicME7mWwECYoStMAV5XsNhT6xlzA1hAO3RywEVtbSvbO1klJTzthMwySdAklRvZWoXZVq7eAU3pQBuRkG8gaso56t0YjlGabDGSXuN89R490EpyeYq/w4Ikwpezfq27zOl5DMxyv2qHh88g1M8nWuutUFtJL5SKqB0T3QrISOEiqEs0cZTmJ5KVzgDuzCw8OI1pn2FslshJCqN6kEPCh2LBPwFYqEwgyEajyod3c6gQsTanlitiDNNPJyjhoDqFFChVo7gLC0LnNeUROqmp9wGgo/YTmGrwBA1/ZVmcaJYLrTgsjs/GXmHPsVzUepFuUQuyJn2Miil98or7pWf3nstgXwoJg+qBDgXWTqrpR5GOxIj34tegPxF2ggYs36Sft+max4wSQnPkAGhSX/PmMz1i70fm9aKl3ItBRNTL6/xEstLKSZrkJ9+fGFQStUFTy9bHl/t+E++cYd//Mef8vvffcn7Zz0BhTXCHPq9Hz3n9z88488/Ped8veXT82v+1tv3uLe0HM5g3ctiZVFG/tVHZ0QfuWMMb88bbF1IVTX1JN9oCtl517Ko1dmXJLOpgMOQIqMQCA7ZtXeBMAxEH/CDE0aMjzjvmWuYIX5ABypIl4uKwSdGidZEPEGJcXTUamRrQL6smv6/x3xCZeu5iEnSlcxAycFQlgfkxbrRKvmEgE3SCa3SHDZe5ecJfPZW1/+jHRLwV9ZSGE1pDPeO5tyuSqroYb5AFUXyfCsnEOa+Fz+jvpO6Rerbd0IbV0MP63Xa1SbJQcRsWXvIFLd4cMAoD/nwA7j2qE78eUhMIp02r4wGrYJ4PimFLQATCcYJRbEpYDEnzudyP86J/EQpsAVxcQhNg1ocCGASPPQ7ePMdiJL+ewSbgFETt7qRP+oG3v5SCp5TIOgHMWxMgJUaBmFPOT8FEDlY9vudPzFzYhifVQVZoOi00NGjnxqM7VdNLSS3awFp5A1nwsi4yc3cj0yh1DKjmEVbxPA2A1PZDM7kwEQrlLIJCAiS1SyxKaJKSGAyYKcwyfelkLK2BRRVSkevhdKmtABU2qQdfCXnyMCDtdMOp5oYV1hDhtOiNuimRi8anj254N98+8/4R//Nf8e//uGH7IZAUZa4YeBVGCsP+69Azq/2gs+AAMICkQFZG8OffPKIoxL+3lduc3jrmJnVFA6qoCBoSlVgdWKeBUfo1gQka6TqtbABaw22kUrZbOk3A30XuNk5uuR/M6tq1LzCFAZbFgmsUSk4zzWocSHgQqTtA4PzuBDoQxizYEJA2wJtDNaWqCAsqW4I7PqB3nnaYWBIcRBRgCerJeaYWZFKzWYlZW0pKku1nGPKAm1FQqGSbFAyTQ/S19qd9DvvMd0gDFWjKQ5m6GaOni0o7txHz+aouiaW1fRsISUNiCGNwmEEHqbMfABeACmhY4l0K7jEoAto03C52/GD56d8en7F9XaH0WoE437CPsFf6RFTXSmEuWK0prYWk8De/Ci53f3ETYrU2zVQlwVNWVKg5XnzSXQcEbdRyqYlO10y2mPyQYQxkErA9YhEZzYaoFLShtFDZczcuD8mpctrK7txilFuKjkL4nS9NJaq7HM2ykxB6hMmCltqxBlA2wcmxwaeFkt6uheVs26M3/8FK/oe8CygXwS++Tu/zHe+8x7f/Tff4798FAi7nqYfmAP/+o8e8/vvnvF//Hs9/sU55x8/451//5dZVpoq9Dy9HGh3c5Yc8v/6gxc822xYqBt+5X/6Faq2hKedSE8UshO+rCXgjyXcu04ZwPMuZ1q4FiYFzwqurAAPXScBmYsyj9V+CupsCTdKdvZDYoDcNqheMtKxsfJ5nXaDyxRYryMctvK6KYU5FQKoQVgyRCiT7MYjgZ1K80RIXoM6wEErjJoeqctCMowSzegzy+0At0C1CtPXKK8JseAmPuCq3xHNwJdudTxf3aLtLG/yKafuPrthxkk8ZR57MD0fhpLyVGEvCq5igKcl6llFQ8nyzUC1dFzGF3S376KWx/DRIdE/w8WWlVIUSH84L0v6yyXucob60oaw7lErz139kI3asU1p2e0wYMOAeaCZHS5YNHMefG/F7Zmlq0C0aBtEPvRNJMK8goP7ElugkApJweRre+ay2ydSH6aGrw5Sfq1OO+kIo+a2FZZN7OE7NxJ4d0EYIzHAzSBxymGAOy1cNSlZV5Rbmwdh89yKiaFRQXVL+n47wJeCMJoO0nytkgSEA2AQCZM9lDFmUUNYC+i2RD6nNHAJu0La9S/N0jpCg6rhsoVdD9sWFp2075sgzLtBSbs3lTzLYi+Qj560Iy7PVzm552czub1ZFHnqDgGH7ntYW/m92MhapTCg7BSb3Sd5XUUBgkDaex9FLrOIkpVsZUQa2JCAIC+AVx2Tf3UJxwPoTkADn8r7sJyYQPUAoZCyWLYCSFsLaiYMwqWAHkKsU/DGkcg450G8mZwV4LrReSdB2s9IvZkxsWaOmKRELRJsL6F/yqN3P+SP/uV3+fP/5yM2VwNfsg/p+ZjNkePJg8jFDwr0NrLY7vjSu8+5jnP+yB+j60t80dEXPVVbcKtTvL0xuOi4io5HeNq5p3SBwwt48fEHXB4EeOdNeFjLvHTWJ8CMlGmoFzDWaDG73zq47mX9aBN4c2RlTNmu4CmClm1WIjctorCNbgoBFQ69SDRbJXNFRwKYIpyfpbZgxOPK+2S6b6QdrSMcGynfEgExuiASzhvgTBEvNCs74LTnVrDSRo2CO0ViQyl4vhYVQFnArTJNXVHkUdksJjZyc5seztoJIJnv4LqCm0rkobdrOGng/iHoE0Rz2yFSvYNUx22q502q92Mm2V+LDB6ByfQ+MehUL+2yA+YbNs/Pefq9x/yTf/GMzeMVi87hv9zQlWtcvKL+sMR1ll1foLoHsFyhTl5y+2mBcT2eNYaIY07fPaA8f4T1O4pux3yAOMxw3QPu/+hjNocDj1+H8nHJgVLcazSPFz19b4jXFfHR67jFAd1ByUPl6eyKj5Y39C/vw1CmNeOabev45HlP190heMs5AxVXgvV2c46OKk4OD6VorJF6bbz8BOA8SdFLzWRg7pn8txySbW/BZDA/rZpkQLCpvK9ljKNKdZDr+yrVxZLRkJ85o4GgyrJMnT6fGNQsU531e/WYAC9Wqb5hkhcepHNep+8m2fA2sa0ssi6ICcjMgFRmgakG1JyfdXxhUErP53SXLVebLU+LGQdNw2+8c4s/X5+xGTwBYZ7cbgz355YfPTuj9ZGgLH/zS3e5v7Q0ReA/+sqGZ5uey16ydPz227f4m+/cpXIRdmlh7OLIlJAFsE6L4hRgjjumSnb6bVqslBo1LyVQVVpskWMOHmWRHWJabAbZJZ31AyFJuVzvxTPGxZQJKAgjwMvutA9xynJOWu4mOVVejCu0+BEphdWSoc3FSBtl3z+mgD2kzGAKoblrFZN0T2GiknFUeVR07Poev5+i/XOO/QBEAhLgC+zg73/n8871Ra/52XN4H0YJzC5qWV8Uyc8pe1+MC/0obA1do4qC2A+y0A0RlvNpt3p5BDGmjXs3BRYx00uM+AMET/QDhLdh26I23bgLr0IUSZsPCexyqODRwScWtoLKEhczqGtYLGE2Z3TaD5EsGZPdByv3rDVQwKyGo5MElogEcSqUQQJlN0gmpxiJRrLHKYn4JHgOIQXlrQTkfS/p0X2YGAF7AFVMwZmcMz2Xy0yykJ7do3wYr4vz6T35GcM9vQe2KkkaYBTYuCdHi1P3Qxsopd7UrEaVFSQ/qKx7VzCi5CqVO85BuxUAzgdkQZl+EuivjIJZSSwbVFlPHlFZHpaAy4ysqazVHSWKZvqdfUAZlDFoU0BZcL3Z8fzRC/7JP/827/3wY95/8gIfpH2HGFLsPZm357Y+hcg/OViVrJSp6aSCswpOty0fvLzgj9//gL/29S9xOG+oZjVFoQSAiV5YdzEQMSJJ06CNRhUC2tFYKcdugK5D9R7jAg2eujHoQowJbWkw1qALw+ipFBJQFkEFj1ERtKh/CiP+PTlejzESvBdfLxXBdfTDIPK5IaIHh/ViCKkUGBOptMIWBlsY6llJuZhj65ryYIZpGlRVomeztNmABAQJYI1BpbEBKYMQk/m2jPXGFhR1IxNgUaDLmcgydWLHjIBFZjulMSdnCEhloBA5+H7GPpU9pGIGqmSH6Xqz4+OnZ+y6DhdCJi3JeTTE8IuPmT/mRfaZ7+V3nBOzbwti4K1Eqpmb+j5A9WNjecq8FAIU2lAZQ6FFpiugqRLfRJncZIzKDTjt2mU8KUv1MHEKYlRiyiVe5tj3RvpiYP+W9hnGuZdO10PqMU6ffSWr7d49pRsa61fGnD2wKYNUY/mm66p0P3svq9wec9sZmXRxFCz8XMdhxc2TNevTDYs2Uoeah/fugnrBbglto6meHvH2/cDXvuS4vPiU4SbQM+Nrb9xmcduiGsdvXl3zzgPFlS8xz1t++VsnvP3LD7A7I2tMhaylMsAWO1koho0ETzGCdtCUEqRvDTy0skuuHBzOpey8SQv0tFuvamk/qoWQmMdvBwgdmCgyPbcVs+cblb6LfKcvJRDfBsYECraf6iFEuNXKzYe8q59/UjWWKq0NSRvOblrfq8TEclrYKBrxr0Ks2d36itk1zNeWXbmSDREVeb4qGOIOUxh27jX8cUFoHDfdDr8JVB08UI7+YMHQFFQvN0Q3Q3lLwwX1BRS7yNkDRQxbiqsIVhGNo4817XBMYbYYvUN3HVbfoMzA8HwJC426FdmtrujmBf3BnHjdM/gGHQxsXjLfteKx2dfMfMXtqFGcMwUnl0AB6javAggKaQxd6psVxBnUt5lSvac5utLidRIrqBcyb+otxCt4e5mkSJ1IzbSDcifz7OAE+LltUswU4H4KyrURoKMqxLNIPxSwwAfxKrJBACClBMRhlu45CujSvJ7aWy1AzGgwkJhhrIVpRQC1S89o5DnnLdROJIQ2BYHznTxD8FNcFoM8Q5nWDIOW4Eo5cBsBaAYtl2ycjGEXVph8mQmaM+uNGZMVWCeMLYWc/yCtT7vU9mMCQ3SybNAV3FICjN2rxgQ+sgGQGL/OgtqmusssUC9rymzqfhHlPY2Uu0Hu7ZYTj5t6JmBhHpNNAlpM6qOWtL6qxnlCAucsG9oweeHsUhucAbegXeNXz/n2n7zPD//8R7z77e/j6h3V0rLc1nxHOzbG46zhfn1IUUSs7VCHEbUK2MdnBKD2muO2wPaO2kdaIs/v3GIHqPYpxQBKzenuNfzgYsf84xvefO8Rr7evUS1r+OpM7m0IsFJJwkeSWiq55xJhwdVKZIuENGYBrZO1McMkf1MlHMcEONSMLJUQBUjvkTooo4CIAThOYBR75VszAZKYhCUECd4HLU35wNMUIgnGFYxyyzom6WoJD2+DngngW2R2S7q/LPeKSuotRpHm5QmuKOCuFjlm+bYs+EoF+gZUBqKeI8DDLvXJPfYLu/R3x8SiyqypxNjL7J+wQmRKA6gTdgNcrXfc845tjBRK8+lFz7CQLl8PPcY7lBo4DzV123N8Dfgdm0XP1UlPsQ60w5rgnnDQt/hQsdG38bsrStUzXzzHbwaUVyyHAt0bXOF50sCgFIWtWNhb6M0nmNMjZh+9Q789oN8VKF8Qyh5tewof6WtDUcPRYuDsaST6SBUdbpCNkbLcUZpDTDWHWxauffKM66CYybhmNKy1jAfzmOYzgyQ1GNImejJFHzMYNqmsEwOUNLeNZZtXIQNThsw4jekopHFVCfDP58mHT39fp++VTJkjC8ZsmhHwWRKY+g6WceyTICJl+kxzLgXTgiq1u+gg1Cm28/ys4wuDUk/XA89WLc+uN6w76L3m4cmCk9kNYduzHhyl1jxY1PzK3TkX6x3GaBam5CsPjri/LKiM56u3T5nVlvMucFAovnp3zr3DBpQmoCUQzX4U45oyLz4BtefJpLT8a9PzFwZqMS3O2caUzsFpClCBkYofggTFzhOGgTCIx1DsPaEXLxXfD/heTLS9Czgnvhc++YzEKKBU3jXXKjIzkhXLKjBEuiBwlE+gVIJhyDWfpUc6KkwMGJSwpKKD4Nh2r4JSPzkEno6spMhZ0/L1/l3I+H48mFKSoS4IDb1F45wXmuu2JQ5OFvnGTXWTGRwgu6Ne2BFq0SS2jIWySYGL6I2nkrATcKkQQGro5LV+EKlcNtr1Elgon8CeTkwp45Bok9ZAVQpDqqpRzRxmDZOHUaZb5l16+T2DYsoUosvO4EkSMgBCDQ5uBI3iKHvIjB47dmgV0oIj+BGUGjWrI7AQxag/BJlIE3tM2rQbgbjokm/EMJVrHAbUIJnw6N3EQNOKMQrUesx0aTIwOCJSUs/RGPEwqWs4WEI9E9+sQgAfrE3ggktG2YM8yzAQN1Va8DoYTZJTxjNVSNbApoSqQhU1GDNmX0MXJJvuEZSKSkAppTO4JQO0+FertBYTiW/UmqAU67bj0bNz3n//Y/7lt7/Dk9MLTm/WhJxFKgSy39vY1vcb/18CVAgpa6HRcNM7nq/W/OjJM776xh2WtcUeLEdWgvIenADZQSMMKZPkjqUlWi2L6dV6BASUUZioqbTCzEtMVWBm5SRlK1JQIIZhCVyQdjRiC4UW5syI3QhY4bvkLxYC3nuCE5C0CABesp9ZRZFArVlpsHXyeTqcYw4O0PMZejmXtMtlRSyrBEpE6a+ZNRdhkmnKRK4Q03sxci8EpFRpsyGQfPcEUFKZQfMKIBWmcf+VnzB9lzCCp/vvhxi52ex4fHpJPzhCCJJdaq8ljG3xJxz74NCPZS39gkceybPJe6ENWv9lPaUmq3ebkgMYxegXJ+Wtx74uiQnSlzNwNXYGnXZvYZTnERg3Q5SeCMQqjuBuOhnTbDR+aO9O5TyvSubiq7/GNI/uU8LTM8T9Os7AR0wg5CunSuNwJMkXU70ENzJAderXIfxioNTNZc/56ZbzZ9cULz1DhMPDI27Pz3DWsJpFlgcHvPN64Le/NbB5OqDagtIveHBnyfz1An8ceOtPlpzESDsrmM8Nr70+Z3GyRLvENq3zbidSPy4FsW6ATQo4qxS4eCOBG1YWlsrJuD0ihBYZmy2EA8ZFrHgNpIVoWqhmcKkLEgCuTVq/BvH46QLoXgI5HZJhdAriOmR3OSrYVox+Zc4k2WACGDJzzabre0RWFhIbJZQiaTBIIJ82qPp2g9lB2WtW8x3KK5RX7HYFpuowxtK6u/h5SzxoaXcDZhdRXnFQWUJVMpQVprwhRI0Oliq26I3GD4b+dYNZB0zXgh2IUeFjQednDIXHGofdRKx2GNUy3Bxg5wWmgV6d4a2GshK8zpYESoZW4QeRGe10QwiK0kXUcAGxAV+AugS9lB+Tgp5gmALJtIOtClBzsLcQZtUlY3r4MZjMxsYaWEkd314CPcSdeBqZXiwLqGAzwOVWgtpdEGbc7VLqxfkEhFhYWiYD5Awu5QAMpmAnIarKQnmfUTai8nfymi/5qxQ6nWe7d55K5DuvMAJC+syaKaNVLp8UPMXUT0xAWHtK+kqvxUOrkA0ivE337eXSTUwsgRRoRiWeUaViZCTPE/jXD9P60ab1lELWf8sorMFbJcybZCCcJFQqS3bW6TmSTCo4afu9lj7clVPMWhvpzyaIwXlpZF1aREafTayM9QE535jmPAeepEHAMpmb599XyFxd0N7AcLGmffGE7/7Bh3z0gyc8+vCS25UnFjVRl2wrxWAM1hecNDNROlqDut2j6VEMRF2gMcwGjfIdKka2SnHRVETlmIUdVafxpqSv5zy+2XLrxY4Xj15y7+iEal7C/VLWEm0KgFZpxJ5pYZbrKIBUZQSUOgqSdS8oAehVFMDUBjjSyUy/giOXMpImBlLwMi45LW0lklhvMVkuJbbcTk0b7DXShlxqq30UtpuVMU0ZYBGk6m0et9M6dmnhoICDCl67K2DtKOXKM3qf6ijJOHNjOBgnbKYsixb4yt73PJPmNCAgxQ5h8Oy3hXyN3I9yf4wCtuzH6jFJ/ZTMRW3nuLzZMes8MSjJVrrrUIXCNlpyIcRIrT0XusXEgXqjGfRAWzp2c882RFw3ENsVRRcJcUbHkth16KJDlxtapfDBUrQ1aoh0VrG2kXLwFKqgqmvM5Qvs2lBdKbp+TjcUaFcSj5+h6DCtwsxqijqyqD2XlVgI2WEAb4l4TNmiS4uuK8kwtx4EDPVe/NmsTXOUkXGh8gmAz0WXAZosjYtSd3trE9ls8bwK+Kl0gp6JzaRTvedztUwZIsfdKUbAUOjMaX7XqQ7ze2n+JyIbWjrVbb5vLYB6zsKYb8fncTW950lriiAge0TGrJ9xfGFQ6j/7v/0LQgg473l01fLVe4d8/f4hv/X6Md99fsN3X6z49QeH/Ke/8ib/y7/+Du/cUXz47JJ3P72kPjykOq45Wiier7+HRvGNe0seHNRoDb/78WP+zm/9NY5PDlkcHsgGp9KMpqha0hxnnxFyGvIQUS6Cd6NHE84LwyTviOSFUhD4R85nE9WuhLoizkqUWWLzYixT2nPAls4RfSD2DgZH3PbC6PHJLHtIlNveSXAXAsEH8ez00HWeITjJxpfWWHKkBbOSwd/i0WisqjFDS79b8/zyirYfxs3eL35EDIqf3Qz+ao7sDzLipMk76Hy746OnF7xbP6X/zvuo4HG7FqWMROhWo5rZZH7dCUiiFajXTuBwCYeHKJv8RYxN461FZAmMASQpvXi0BRzkbEkZaEkFnwLeGPWrzKD9jq+EtRejZAObAuAMaKaBP3deUyRQqYCQwKTYMslD/HQvNu1wjAwelTJPJvBAycCjtAwEYtGSd8Z6iHmBJJkZc/CtQnrdxQQ+pAEyA3JukB/voN0Ru06AqW6XAKvMOMiVGKf7VzAaPw8yCcW8C2TSYNpuUkDnIVZpF85KeRdWdgKDn86fOoICKAqiT6DVZpXeU0RbotDpeVMgq5IMJ4NP2SMjMSkjpExsbmQ0RWXRRYGuSihKNpuWs7Mr/uE/+f/xZ+99yJ9870fc9EMClxXOT4i+UpPBfCDVv1LT5ugXgonT+JM+uw2R813Lh2cvUfGGopkTbtWwcyiviKqAxQmxLISqbVNbTZ48cRjg5lpOPGtQB0t032FQwiI6OoBSpM8xmZtrU07+ZV1HTmWOMmhkYaVHc7GQQNuB2Pfo9Yai3RHdgA8DldGEtMtqjEEbjZ3NUcsaNSvR8yaxDGeEw8PkWWXJhCLBJ/IkqyEcTu0+pH4Rc/vR43sZaIjeEbO54rjJkOoi5J2g1HYzvfUVOdcEQKkMTDFMIEeMoy/OZr3hkyen/PF7n+AG/4ra/xdVdH32+GmAVb77whY0dcPRwQFKie/bKx/aO89nzs5+W9U6pIymAU1AxOpi4p6ZauPHE7NSCRUOTGJQJZB4j4w4wXPjfam9OU5NgMd+vxk3T9JJsoF+Bt/3HlDtj/d7lTBmaYSprrN5ueuJTkD4mPzXiArnPG0/0HY9m7bHOS8bKATmdcGsLjk6XhIGjxsc5eeU6hc9/vH//l/R73asNi3/6JHhN3/zDn/nt27xf/iNQ/6/H2z43U87/td//5C//SsP+du/8pD4uqP7QU/33Y7mtoV7hvia5mbzjNgtOBpe596vHuC84rv/5jm/9h98merhETw4lr6TZMuCareg1oifU54Hi1RWebE8AC3caAnKZhHa68S+t3CxkXOZCM0O6hIOjpHARSGeFiei121qZLdWyfsxBzNr+Vwb4ayDeWImvPDyr4uypj1Kc8+zKEGVUiK7WaR2c+OEDWJ1+k4K/HJWPoXMczcOt97wYuu5NJ7VwtO/0VO8KKhXirfMijNVsMZwhQPOQK1QlSKaSG8LPv7KLxGftsSXO7izI3pN0RccKMVLllz1DfGDjnBnwXDLEG8+phwKrFNU1XOGpWVXz1C8zq1+x7LbEepLli4y28DLuqK82rE4vREBzL0b6luaZ49qDkPgwET+jdlwZ7jhretL3v70Y8xawWWUefUgSNaloyMBKLYIiJTHkNfnUC6huEFAp4FJtlExSUQyQJX9Y5aITCRFHbPEvGIHzKV9zIb0vR7e2IL+BgLybJikXgOT3OsGkQjlXf7DdL0zOSdzJM1YZgWtYUxpf57uqWSSkmQZSl7lVkxZxLInSgKrspyFEvg0/V0igd2QoqEkNzF3BQQgpPtMzOzbefE+QDxNRtEBdo30Cx3l2tl6xxYCNmlEAlZG+Vz2UlNI/S0Q0KIfZCOOkMD+PgX1B+lnwchwUCTAD7m3B0eMgNtuBaYTNqLJoN6WKUueAt/I+U2LAIA5KN0PXCNTdrVchzvgbaAnuEu+8w/+AR9975QfvnfF+5+8C9UB9eE3OHv6HhfB8dz0/M7DQ2ZDgf604fztingVKD6KzOsb+nbGxr5NWJyyi56LVtFUKfMvwIsLDvych8NXOHrjE877nu9+0vFJ1XNi16wfPyH83dfg9RpmCwmaDyLcVeIBZa3EAi6tbU0hoI4P0K3Fi6vuYbES9nkB3NJwaykbf55pHYuVzXWQGHKT4syqBNvKRvLlICDhAGw97DrZeLVe2DSth90gxXkEnCbPqkbDSSFj3yzVw2EtjEPeStWmUzvI4OQ9JiDpRWr3IP1qkdp9Bn8N0rdSW6ZDpFk36f2XkCTEE+PSpfaQZ75sdB6YENDnjO737nLcoBfft1KAmuqS84sXvPv+M5486rnYNXT6mK81z4iFZ+fhCbc4sgW3aoW9/4J+pTh/1nBzu2HZw5vvRT66C76foa5PuKgv8T4Q+mu67oS+Q8bwqkf1BerxjCasCMoQadg9Oqd3PX31hNfc2xxWtykezDgrl1ypLSUD/Z0O5QfU04LaXtG0gfqRRn85QhwIjzd8ebhLIPIJLf41hX+QxpdbTti5mxmcB9A7uNMLGOqNZMC7ZWQjxmZQL29zzRnB+TELZhoH8hw6MtN2e9/Nvl8ZuNqm32dMwP9tBETu0+uJTcda6icYAVNzYhS1mdqIXUOYyf2b6+Ql6OD4YorhLnthGHY+AbvIuHHpBVxtLHzTwssg8/xDfurxhUGp77284Rtv3OVbr91h+fQ579w95isPbnPQKN66WPP10xVvVJa6qfj24xv+hw/WPL9a8fxqw7U941cfHnD4YIZvO7SxmKDYrAO3ZiUPDmfUV2uMC8RNoqAl+c+YLSpLVnImrbxoBpEKJUneSI+NZgpE8gLFS6A60sKzJ41SRDTRiAeUMDXyQjsHvUrupygEQCgQRlaUQUv7Yi9AkoW5sJ8CJkaMC4TBiXyqH4hOdm1VSABYiHJPwaOjw5rIdt1xdnHJp9cdOx+EJfFjx/SaTu/LZnacNj6YiuEnEaX+MrvtP+3QMO6KW20otWbhI28cHvCNu/cYrjxd39HuOsm2mGSZqpL710pBAJO8tuzTFeq8RdXX6KJAFRZdWig0qq5Qs4ZoM9VZSfDb96hdop5qIwuDsso3B0bJjrl30K4ZaWVlQ2bUKRjp06PEB8jylGwUnQ2Spa0EYt7FiiK9HIMjFScwTE+It5R7DroNozG3Tn4JyqC1SU09MtK2c7A9BuYCTE3eKiG1xSBsqrxTHtz0uxuI3qH6dgKrQhzlfgxDYtSk646v9xO44b30w95B16NWGwlWjUEVlYBNRsxmJfudJZr0vCEBAyFIf/eJTdW2ZA8dSYOcH1ERtCEqi6oakQyWBdRlMu+20FTSL83EvFNIXe82W25e7Hj/0RkfPz3nB588599+70ecXt6w6gdc3A9+Xz1ywoMQBUQbAdQRnUjNI/36avg/9Q2JoaVvHjYF33p4yPL2AnPnkPDwHjrcnRZOVZmyECagMg/2ucxO0uieAEflnXy3qCRg03rvPhLLZWTWDVPdRTWOn8ono+eAtKle2olu18TBJS+8yMiSMVp2PK1BNTNiVRCLgljYBKaJWXXMACIy7kb2/s4sttz298GLmO5jBJMiWbKa/1ajP1Q2IU8eUq8AUYGpRsIoz1PepXIJIxiVGUHKKKLVvHx6ypOnz/n0yXOZH7QaN0fH4/Mq/HOOLAP7uY70Pecd/dCzbTuZQ0Zw/GeegBj3bzyjQxmQkrKSuVWNbKPx1FFNm0LTizLnktop7N2PSp+TDSW5bgrQkiG2Gs+ixvbphyGxXqJsSO1J6LKVlTZprBzHTzmHihMTbG/gGHerVQIbYwjEwaN2HbTCmI3tIDL+JGMcnKcfHOsQ8c4zDH70R/55jv/60RW/9tYdvvWNL/EfPrziK28e8lp9xMHfOKZ8e8XrT1d882iBvoy89yfn+O9esXuyZvfphnvDO9zaHHDSzlB6gSoMxmy52dYc1g0Pbs2xvYfzjaSKr4YpiDoIEtjGIDKmbDbPIWM/I21MtD3oQUAqV4ocDw1FkoKEXhbb50qCrG0vKdV7GadZemGw2ALo5dz2QuQxKibJzDwprXyKkS3oUq4ZSczZxNa8E6BM49TWSPCIE6+UPkzkjZGarpKBcRBgZgerqw2/u3vBSz+IavFxwM0c7S3NxZnFhsCJaTEPXnDRtAxOce/FjM3gCGXk6/4Z57Hmxht2V7ehD3jjeflAYQbFXQ9RR3qnGM5L+uEBMWhcjFh7BZsKtasp4iW9cVwbx3DUcxMjm14xvHbE/GbLcuU5dZZNp+jPFa8PBco7ngWH9h2H0XDfLNAvg+AoqyjA0DbCaZSg2llhl534tOYAPnUQbiBs4daNlGfhkg/REhYnTABE/jf7jKzJY7YENJbRa0aBBEU3TB4iT9PnByZD3Dqdq0NufJ6+dy+9t0vXadLrnkkmlI8ckGWWRmSS/G2ZgKj0o3T67CGTEXAGZA3Et9L5jNyTSkz5MajfB3BumALxYroHdV8Yh4WDepuG0yDPGtJa6sgmJkyQ75WJhcMgJtMdUh/eCVixGmC1gmINxkl2NW+hOZtUBaGXILJEGIkbBTsNw4bRGD2uEXlkah9OC6CcmQ7KwOxAPmsDPAiMmnTdprEjB8z59x7cDaG74JO/+CGrJx03n2z4l//iOzz2K54cDtSzBcW8QN9esTiL7GYedW/NY6VxQ8dqWNF3FmOhvOf5ZuNZxh1fO3yOa2Dwjs51rAJEHzDDwANrccHxKPRUl5FZDHytbjlXlmI24+03jynnC6gWUB0gIGUD3BGpqDLCJCxUqrcbYJHWWAbsVlia8yj9xAD14WSATpfW7h5YgVmm8tjJOItPErWllPfBagr2vQHXQhykjfW7FIMWMl6BjNdWCcBeNQKE2UL6WZnn1cPUhzITpU59sdp7/TUmD5/MBOwYQeUcm+S5YMyUlxlXmWF1uPed671r5nnDpv6R/x7kOX0JJku8U2xikc9cXPPiR+d8549PaQ9hftBxS1/xUjfMtgMH1z1Ld4OrLI8aw7CRDYowD5hhjfOey6LAq545PcfqitOmxClh4NjqnKgDIQbsShP7GSEuUPEGtTXEpxY1zIkaWrOid2sGtcAVlvgQomnpt6foocf0JWV/i/nlSxSOl8bS31zig6XrG27CFYZI01XwssCfpzFou5E5ydUyD1kFdiYbMiHXRWIm+VLiu2ASkLNLmFSU33P2vJjHwBZUm8avBdOaNgFZBGmbGQfpdjJuKA2LFjYbWfPPu3TOkIDWBJIPiUSgXWpPmRzRyOd9Lxs/pZd5f1fBrpWNax3FW3KV5g4XE5HOSftVAf4839u02f+Tji8MSr3cdHxVWQ4OlrzWbXnz3glvP7zHQR3QVYkqLLPecdM5Pn50yfPTS252OzZ9x+HBitdnJfG45qA0aFuwLEtstByUDQ8XC+rBoTc7YUAlllTMmaKMliCnSgynohiDAIVKVFQYPXIywyPvkCcGlXIuefOkOsyMgARMioVGkjEkjxJlDLFMoFhdwHw2MrhUTjdbkHb3YfS7SvemCIInh5gkVh76jjiEPdZNGiSCIgxi9F0oODtdc3Fzxel2oAuyAI97S/nPAknjn0lv8blxSgZg/hLHZ02bs1fJ/r/5eilEQCHZDkujqSrLg8Mlb985JgwpE2ryRsvadT0MKK1FjqI1RmuMUcTrDqU7iYELiy4MujJoa8TDaDkTqqxNoOUcSQV9fZOARCtBehNl0Deys09IrLebq6QhV6K5z6bjKoGiZSneOVmfmc2zM1gaY5pwUpCujTCl9mVDvFIw0klz21XSflNIvRcERvmCMqDKMchLjr9MSMhesD7W7955MsKQA/A0IAlYleR+Q4dyrTCVvPwtXkXdJPfKn82gVJeAqb5HOSff7Vr5rh8S0GQlPXshoFTUWqQhKWW7SBnTeRVJ3pd+0mOpIfdlee6oLF5bqBaoqkLVFWbRJLlgiVeeAc0QNaayGCvtqNv0XJyvePb8gj/40x/x/ifP+YuPnvL0/AYXw4TepnqYZEdT2BxCYm7sSfgUY3f72X1ITVWlgHlpeOOkoT5aoI8OCScnMlEZK2w6k9Krv+JXFIguZRU08hlAJpyYWGgmLb4VCbCRyWD0qMpBegYhg0r1G5JURk3ImncCdg2zSa6qk8w6t/fCyD1XlUgutRFHoQwujW0TRjZiZj/FfQlXBkz2nvfzGE4ZsBwBlD0AKqbUEjGDsrntSDsWoMUTvfxkFmGMe+NxAqWiNkQM2+2W1XrD9Y2YzZPi77EBjP3xM/f+lzx+sjk5r4yxMQpjedf3jJ5lX+DccoL9T+d2LIBUJAUmY5PfG1f2mUy5TEnzltLiNRYErEUlMEopmVRVAjrz+BXU2GnGu48x1Ykj9D3KpTFSa2I2qg+ZnUWSmOUsnPk8aYzIdZHATBVDuvNXyzD3CT306H5AdZIYJSRpfh8C2nmCCww+MAye175AWf+k473rHW/Ygur+Cd86gNduHXL7+JCj2zO+1NSERqNeRs6ebXna3tBvT9lermmvt3zz+A7FouHW0jCbH6BCYNaAw1DXJXduN7I4bHvxk1r2qX+VUKTfg02Krdz/cqDhgV7GgN6J/M2X8rOL0mWtSkymAWKbZIBBvHfOCjH+7SKcDImsknZaTZSd4ValdVMj44xGAvSCtAFZyJinkI2ILu3M14l17BUsq2QYO8ChlmxW2yhtbE7a3LWJ+CKBlLsZWK+2fG+9ondWkodtwDcBV8NNNefWsGOmB8zimpVShN5wcF3TVgOxcjzgmk5HtrpBtQ1RtYRi4GahOO4UjdNQedRZgLXC64XYOyhHbKIYI/cFprlm0J5BByg8fRuITsOdEjUMGNcT+gKcwvSKY63ogmKL4sQa7swq7ixnkikqb7QTpY46BKjLQWYTU/yjhK3RJ2kJG8mIV0aZZ+cBVAqQVQdqI/NH6CHshG0j3hhyLTUDnQNhEH+UVRpHFcRn00IwNkCT1sSZ+bTZe32WAJqJ7S3MnYCkDs8MvixHzKAUTCnSM/iUZSv7c07yLBvZ72lthwZ1i2n9lFkFMPm5bNLvOv2+SZ+pBezMbLMiAQDVFROot2IC1SqpE+8EFCyQZy4HMb5uE1iw7aTfdloWyDgp+10h7Iullz5ikiysjHJqjWBmNwmYMjFJW9fyZlQCXmbmVvSMcpzDNq2brTB2shS70AyDwQ2G0hZoLZLMbhgI20vczUs++eOPOP/+jrP3Wv70k0+4OOpZvaZ4YB+iKoVZrNFFwMwDzR24PvOsh8DFEAgbjzWGWWPZRoNSnqPmElMsGXBsaXGmYfCAc5woxRrPIzz9LtIYz23bc+oNuqy4c7LANjMoF1AcMjHp3mIEAtRC6j92CBizlHas51CspI7mJcIcUkiGhF4ABZ3YnTnTnL6d/r4Rk3p6BKRZyrjaFEzSqcQiHA3Dsz9aZh5FJvBVyzlGcPWY6dBMG2shtf16r2/0SJaB3AZv9j6bGU9pnI8xPctNuo8qfSaDjxm8zawcv3euEpF8hXF+FbmrlfHEGPl8Tl6hVcJxO9aXO5493eAOFQvrOdE7PtwuKLuA3cI87liZgouyhK3YbPgisKRFKdhoibEKMzC3npf2hGAMSkdMsyFoT4ga2xliKBi8k1isD2g3YIwlGkXAsS23bMsOZxRmFtHzHhduMAOYzqD8nKatcbrjwijidiueU+GY1txQRLDhkLgxQgqNg2RZHGKKEY3EOcZKTOW8zJcqSP/zqayjSgy+ZMhvMziYxtycEVol1lNO6IBLwF9W9yQwPGpZm7kOXJHGvPR355JEPoEduhBQWiH+eXqKFWXs1cjEupFzD1HGuyLI/N8qGb/mCpwSXzvtoY3ENhK05GnXCni+w1eBUO9vNHz+8YVBqYO64P1Hz/n09JK//a2v8Obrb/Nbv/oV/sE//e/4gx895Y8+es6LVcfgffI/ksCutIbf/rphqGr8wZL/3X/86zilCbbmpKmo64p6VsvudoSQU9qnoCXkzHtaTYBT8soBGN1ds69Om2V0gyywsqwjyX20tXiVpIA67w6kbHgxL2oZs0pjIJZWBu4yGXcmtG/CBnLABKCEMeKc3ENmI6CmnbzCoJbJH2W+ELZHUYjXSmImsF3z9Pde8OHFFZcDKJNYRGMArMb4YnpJsp9lUk8EhpTi+ucPlaZjf4f/8wCp/K9KwWVpDAd1wZeWDb/2pVt865t3mBtPHRoaHwQUzOuC3TBubJOyEZJEJTKGRmIrzlyoxClSK5QK6FpLdrHCwLxG9T1qvUHNCzGFLgWwoGlgPoeDA2kvfQuPPoXVFla9hGVBDO1UTjdeWAFKY5QxoC7kdS2G0yqZ+saqlAxi85lcy1phCGVWU4xQlOm8aaBKHkjMFgm1RgJkkPZvGtnNsWn1ofKuiZl+HxkoWjLYKQ3KJulfXoil+omMARrKJ8N/D34Hbo1yO2K/At/KojSnVI9MwC9yjyoDvj4KQNX1cHUOmw1qt4XtVrpEBsWC35PmhQk1z0Dt0JP9rsT8cwIusvm0Shk08dAHizM1oZhxeOcYPZsTmhkfdp4ffPqC73/8nDfu3eLOvVvcunfCn7z3lEfPL/n46QV/8MlHrLqO3eDRSX60b1z+ee1+jM3JQW3c8+FJn9vvA0q/+v194BDQMUrzKg36zgP03dcIhw9QOb3vWOZq78xydlXnwSlPRmm3M8uZRvBGFvyCZ6YJJQE1cWTcJdAxs5aCSszRDPIkBk0yOhw9vfIuvGhL5dZ8HJkqEGVndiyR/Pxqb8zMYNKPlfjU7j4LvqaXch2Mzxmm+91vX9GHtChwxJDAqD5JF31eaCW/ozD5S0UiMqUq7p8ccff2MccnS1bn1ygUJSo5nMSEGQpj6WeRoH6a7xj5mX7C9/Z/DzGw7Vpc7s/Tm/zMm8jXGpFypjlM5YVvwo18WrRYm9oJKcgMqJCy0ubFDBBiGhP1/jlTr5GGyKuZD/N9pzsxBjObjXObGv9H2mTKEGZuI3IeTbptBWpcMDNeS2UbAMANShaMpcYEmGlLWQw41TIMHjd4tl3PuvOo1hNuOnof6H3kG1+oZD//+PdVoH/0iN91l/zO3/0qB795nzu//AZ/+n/9Nt/+5EP+1dNP+LN3C8rdwHwY6CO01hLmNf+n+yVv3JmhDw7523/zG0mdVICrUAdKLHuaUgCIqyQB0in4bLWwnoa5sGgqD00L5YuxX6NLMB6aHk61gFvtBVw5yYZ3awVnWhhRzsJJGoMuvZhbuwBngwTGLQlssMKMqrz4sTRWPF9CygZ3ZCHkjY8COBMJwKkW2YoBrluRQgREopaNzpcF3D6QefNthcyJBTCHmIO/Fee/9wOePzmj+0E5bgz0TUP1sqOyhtVXHmDjc/Rww3svPZWrKH3JZVBslnM4jPjFGVt/ybq6pL6p6ZueYD3V45qbfsYFFfG1Z9ReYWOHKbeUfYvCsX7bEJ72cF4T9QkqrjB+y4PHMERFHxUvLw0vliWni8ByWfLwxnJ3q2m/dMqtjeKru4K/8c1v8ev/wZu88XdvSQAwKIldYhAM5BqgF7CidLBJVgeVBdXKmqUs4GorGeNuKrjfgb+E9gZeK6WeigFu35LsdVdruOMS+2EpoEpZycZsBlvo4fwRXHdw5qD3AorMYvJVMVLvvk391Uwm/I2Gh3NhuYUgTLhSCTsuJH8bk4Nky2TIm+Y8HNIRSqZU6pEp8G8RCWmNsEg6OSd3PvPZjO7sH8vP/P55HMnPjrNZ3niKMMZWjD5a2osNBfN0vSRFXeTvrsBv4KaD7TXsNnBupR9VQeq8CmLgvtKw7iUL4qqEPrE9z6wAwEWA6yvwFYQSjjsJGDsFi1KKZRvh+ccwO4L5iWzk5o25uebpB+d89N4pv/bmXWbHM+xBw3ff33D9qGf1Ucd3/+2nrPszNvqU7/yyZ3kOb/xh5C9cYKZa7vpLzk8ct6s5v7I75unqJbc2B3x1+5Dvf/9dSn3Abf0OH9JzU19wfviEvxVWHHaKw7Xh8K1DLrcdT7Y7AjBH82VdwjFcO8/lxcBNWNBvS+yuQd06gZPXgG8weSMZRLqkmKSqcxICxzSx5MC/hHgs76kMTGYvMp0q6w4TOLREOl6WP9bpGl9J32tTG7iVvn+Rfq/TuTO4CROT7/W9966ZsrJdpc+VTKzAzGTr03U+ZfRhy6b/GUxmg4BQNv2eZV3XiHT2LhOw+xGjHG/sYxaR9w3yuoswbGVToi7S+muQLJc2CpNPncscpAt42HD09pJ33jng8YctmkhdKn51u2FjPTeLwMJpnK25qQ6prhW+K3BDzWvfOGe4cVw+DsRGs2kUP6gC1fWaMtb0ukFdlyhniP2M+itnxP4a9XLHNj6gCHDCjuPbzwluYHuu+OHfuKJ4e8HfigP3P3T0L+GsFLsX50u2RJaLh6iwprj+lOVO4a1jU6+ob0tMfXW+xS09sTawm8NmJ0yj+8CzBA7ZG7iagWtgUQjwFIIAWKaVtZNB5r+Q2ulQy98WYSWr7PeUfuJFarqGKUNiklHrKD9FxQjAxwYOZgnYaiGmtqN0aqcDVHO5vlPQH0G5ls0sSEQOI1lYs7LbaLibGH03HpYlqErmCOuJOnD1KNAsIrNFhOC5etJycbHj7v+Kn3p8YVBqWRZsB8/5assHp9f86SfPKIziH/3JBzy6uOF0vaN1npPFnHuHC94+aHh4vOTN28f85pu3iMHxz77zMf/2R59y2TpuhkhtDG+cLPnmgxP+/jffZFYaxhSYmY1iJF/d6DGlNWPGiLzQTQvxaIPISbwX5K8fUD4FzkYTvKcdOvH60xaaWszWQDpuyEFbOicpSMhZzYLnlTTz+9kAc6Yv4sReAPBa5E854PFBMmWtkUVycQVJlsasSZ4dGmY1qi7RVZGmy5jiuSi7w0D2SZIATUFUxLRbnaGiKcQYn3JcyP9VSfbyeXO4oGDKqqU0R/M5RwcVB0cFtmgww4B1g7BoQGLTs2vCkKRiyyaBEUq8u9JZI4oQFNFHJsRY4bpIGBxeO9TOpVTeoJ0D7VHagW5Rdo0uL1FVnfp3RK0H2SB0mpDMn13UsqGgAlENYzwciTL5p0NMhsVzSluNNjoZMQtQGnVqz6mNqrIS+RlKZHNKgS1Qy6UAk9Ymam9iCcwXYhx+dGv05FFBjQBClqtAlO9ls2FjhbGiEt07s79QCVRIYE/iRwjToUTpiLJOalAlxlfwKBXHIE8AM5t87yLRJAAvZd1j2coiabdN8r9B/h0D0wweMIFwPiTGVAomnZs+r0UiqUKAwaGHnqIf0JuOiCaqgp0ueHLt+OTZNd97fM7p5Q1nl2vee3SJqT7F1hVPrzdsup71rmPdO/qEFXq+GNMkH5/XZ9Te69nwegKy5Hn3wQbpGop+CJytdgzrDX61Icxv0EWNHr3SMgA0QmFyAr+HOo+Ncx/gieN1ZdhI90Ac11Nyn9KOsnROpZuL8MoYOF2Lqb2NtxSm58ufGb8Qxtem18O4Foz7XkivHHvPE7IRdR6fBYDKhtVinZN9hpAJOclKY9umgDf97dMY7PxUVkYliSSo6IhIhkoXIlEpPJrz7cDgFPN6Rmk2CZDXTEaVMh79NCzo55bs8XltThJJOO+YWt1P+/xPOC+5bTB2zQn8C2l6VRPQlcf0vdFewMk8D0pdSBBmps+80gj2Gkm+FBkoncDLfCuZnRiDZIDMsvjsY5XByeBlHBmcQIVJpU1MXpBD27FrHbvBse29eFFkZmBixm27jnXv2fSedcrKG4IAIkOIuPDz1yHI2v3Z0HFx6fnyR2uOq1P0hef/8T98wKcXVzzfaroh8NatB/zqrQccHF5xcm/J3ddv89e/eRe6wHt/8Yg/uz7l+emGF8+23CoC79xZ8M03j/nK33mTMmjJcKejAEGVh2gle9PRVkCBohBWgcnAQgRq+U5Zw0kvu6rbtKupkhT6NSVsqEsP1VbWP41N8XopmdtWaZNB9+KzUgB1J+DWkO5roSaJX0iSPbVLhAIr97XNMhOXGgISP3mfmDQDXA8CfHdeMmXZQs6zDCm+mrEoFhzbhpO+H+2qNkWBO1HE0uOvnnFetVgUpauIB9CbyPXjA7i5wvYbnkVPf72k3Ir/kO0NelDc7R0bAlul2Z7fZdA73NGKWDm0UxAs4dKLL8ftHjdvMGuHXkc2PtDZJZ2dEfSFbJK30C4HrnRHdLBrbzPrW46io35TY+4p1NIAJ7KJ1/ay831k4Z6BZxdJtaPgLS99MChhynRe5HqHpFV/SDJP4FaEtRegwkQ4v0r4SpSfOIg0zKadeVXBQkMdYObh3ItHEkrMzn2U+NcYqa9ukJg5JgA7InXYeUlXXwKHg0jMrBJPM92lyorCwohpE+7QJIbdAL1FTN0LsLVs3jULYcmFAdjC0SGUMyQYmzGmSlcgYESLMJ+y3GnB6LVGk8anq73XHRN7K4GhI6Bl975XIw26QSRTmemVmQIZJMnXKkWuNweq2+LVdjiA2gqoGB05mzF1CbGXc1bVxHC+M4i8pgzQH0uA6ZVI1LxKlnFbYdZtYyKD1QIOruFiu+Ns27La9NxcblhdtXznz5/Tq5ZdsePx5V16NTCoLR+0gcvecqlqzOMVVkf8A8Vb3TXWFpSnt2kPzhnaiP6kp9aw9p7zsOPe27cp+kBx+Zi2PqSIFcXVPT4uasphi3VnrF6KfOtQKRFfqsgBnrCJdF6ymsdZy6C3XJ1tqfyAURvgMQK2zEEdpkFDMbJ/xnrfMAFNQ6qPnYCvqNQu1qlNHMp7o4QzzXEZCGDOBBDo1F4So2EEwvbBpHw/WY6lmCR3/jPtKl/vYO/31H9H5lVmWDXptS3CshqYgFmfPrdiYm6dps94JpleYoMRGemY/U7WTLadpFm7G1mLaSu+chkj9kbW77teWJithU0BQTOn4uFXal77YE7bec67QH+ww7iI3ShO9W12VUDVNxy6htbXrKgJz85xXuMKS/PS0ZWRoYR6GHC+oFcWrGIeNfcoudiB91HWIgtwRWRTeobNCWrooVxzJxxy2zdof8PF7ZdcuxVqBXoY0DESiwtieYh2kaVSrO5LRuLblwPdyuCjpu41dbuj7NfSVrxN89GQZGsWhpmsjQonGzR5A69x0FXSL5tegCKlpMxNZMwCqlIch5LPRAUqsUXHOCp9Fhgl+3TQVzI+VmummCDN7d5I8oPsL9UB7UbIAVUJ62TmX5RyrtDB8xacJ3jPVl2j1xG9C7hmoGwNtjVcdR39NtLtAtdxQzkoyktN2HR0/UDn/gqZUsvS0A6ObTfw/PqGdx+/wPU9f/b4jH5wGK0ojOZ40fD23Vv8+p0lX394m2+8fo+TMvCDp6e8/+icP/j4nNN1x0XrUES+dveIOHj+w3ceJOJsQPlUeSZKlqlgBKDQ0lnUuK0Ke0tr0EbAHaNHNsto+GwMvu/ouo6+7bB1TXUwT1mc8m6x3wNt0kLceQmqY0xMLTcuwlX2B0ogmsQCsgM/yhXSwBIje/K9QXbtk9REMmsZmFUiWawqKG9hjMYWJltwsL+4V5/5O8eggksocqyRVWefGyD8gsdn5SafPXMEolLMm5p5XdKUmmCNeGZFkoxAQYgEE9P+l4Y6+YUEiF3yCNHp+XyqUpUDbkVwwm4KBFQ7gTOql7Tv4u0UUCpidERpI9LLQqOVmOWroAhO4aMiRIVPUh/JNiVeYyEFyyp5gWkkCNM6YnVacykQb6lcZ+nQGlVWYjwdsg+VQtsCljuoCnSVzL5z4H/Qw2JIssIUsGWwFBLRJDGLXDeCXwLe2hF8QqesdVqTzNBAW6JOEovEmBEwKgEiUsECUmS214g6yLlG1kxMsWa1kMyHbhBNc98ls+yWyfxwr1BGqWuUnfYM/O4PXCnDZgyA61F9h+o69HpN6AZc53mxi/zgsuO7Zy1//oPntG1H33dcXF3S+UAXAjudrmeg9yGxnOQZYw6+eRWH+Wmkk31Ja15W/BgYkK6xf4rMajFartj1HrfdETYb4noF8yjm7kUaOzLQONFFphNmtlHu7PlmI1Pwv/d6HI2hE5aw70491u5nbnhv3Ii50e2dnmTIqsb3x9F4PGlMoA2pb+SOoTLgsP88uZ3tZdMbQa/Moss+Z+n2lNkDhFSUzJPOSZlmVm3w46l1uhepX+nbUhvpcyEQXCAojSPy4nzHatNjtMEoTZjEe1NV8NOPn8WQ+mnH58n6hKkXxnP/PMdU++ozr+739Xy9kAZhQEdi0ONHYwzCmMoLpDR2T1cI47n3zf73QdQYp2yQISQWYpCMNyGIV4Qb3KSAViLx1hoIETc4nPN0XT/iuIXVUo8u0G123Owc686xGhyDE0Z3RCfJIQy+Z9d5dn1gOzh88IQg65HMjPxFjllTsgs9j1c7njy5ofSGq6db/vDpJV3rsb7hsPK8fuuEb73zDg/uveTtt0/40pfvoxaKZ59c8ujJFd9bX/LRxzd88v0rHs46hvvH3O8g/MZ9Gbt7hLGSs96E5GtTdmKEjQJmwrYhAT/apo0aDfNE0VdRPhMTy+YI2EmSF9etUFWBPTqGmRKm1WwB1slGBEay1ppUZrqXiXvbp8VwmjC9Te1gkAW6z+yuNgELQcCsAUmb7gPotHExDMlMeBBgpkrSBy2AEPqAmpK5LiVrnQnj/OPnAkqZ59dsokYZzTwYurnH14F4bin6HtY7zitLWFdUXY2rNmhnsVGxjINkhFcKvV4SjlriooUCfLDCSlt7YbfMI7FURB0JUdPFSKtLuqIhVi/Rg8X0BUEHOgZWIdC5O3gVsGXAHCt0o9OcmXbBo5fyLY0gni9Tf9NajJ5jApUKxOskBPm9igJmbRCwsg5ClsgT2XYrQUtI7MjgZS6veqmfvoXDIPH8QYTrkuz/hkVAqZ0S0kaIAj5dWalvg7Ao8udeJBDFpS14peDaCDg1BAFAh9RmrYK2kPutOrmG10AhFg5VBeEwJfFInliLkHb8B1B3pF2yljZNQMCGS6asZd1UvmO2v+fASXrdI0BDDp0sr7JuQvq7YJJY5fdysO8+87m03lI2ZaRMbOmDgSnjXiqfqASAU7LhKsGvkec52AgbuvRAKSCkD4wp532AiyvJlLgDZsLGiBZ2z3suLlueXKx5+mhFjFKGz97dsdqecz2ccek18dYA91acUXMeIhfeMDsLFEfAHc39bge9Zlgf4JaawSnCJRS3AONo7Y6Hh3PYrmmvz9DLhqotOFgtuY4VykeKYNmtNTOtOKk1OuSFmMO3ShiGGmbNQF0ODIOTxC9uC/ackSkVD5BGnta1pA3m0dvMMrKBVAJnYg4sk2RpBK6yjC2vTXM9ZpZdTL9HJt80y2gYrmqpk9jvnSOzXzKiE9N1ckfUTCDVnAnU9Hu/h+kaGKZEBIs0fnagTkE16f62TEzD9d511jIGRyf9Hpf+TrK0rhdzbq8EmGo7Rr9e36WxWyVca5B4RAc57ZWiveqJN45mFjnWlnMPlz6ytpEmRBZes2GBU1u0uqYMMzwGrKa/VnhtULbCtBtMlDHNRghBgTLEaLBYlspyvpNNOwNQDcQq4OuB7c0hKmisbWn8jGYo0H3Ler5iO9tR3DQUsSWqSDA9gR6jHKVSdDODjbC49qy7Ehe0MGO9x4QB9CDM1KhkrNRJij4UMvdpUrZQiSExXjYMgn51Edn7BEYh9ZwzepLigPz6qBAbpnpKdhgiCeyJg01rqLWo9CIE5wg7RXQK5iVa9egYUP1AvNkSuy36oCTsHGGIUBRoepQfCM+3MAgotYtb1EuDutL4OwMhWqwz3Kw6djvo+sjqaMB6sL0i3gwoE9HFz15DfWFQ6uFBSescZ9ue68tzfu/0jP/Ww5cf3ObewZzbi4bn55ccHx1x/85t6rnl2sP3z2+oww7Xt7x1e8b/Zv4WRWGpqhLvPSeLhteOFyyWJUopYTYNCfzZk8bIfKWnPjQ6niphR2kNVqNKoaWNAbM1KDROW4Zux+bmjH/zpz+kOb7FX/udO9y+f4ytSgEcCpvkVYn5EUlSuq0E17tODMP6QXaqei/361KN52DKpwVB+jfv9McUoMW065oDY+97YgyEcC0ZkQrN/Nk5s/Mrls6JnUOMhL0wYmImfH5Akm/h5wtXvvjxecBUilvI2d8ODw5pfIk6HeDyMaOPjQ+I/4giFopwvCQcH6JPL6F3ROdx8wZcJLaO2Hq8j/gQwWZQcGIJxHyuCDHEUe25L70ypKweCWgRtpP0Z59ZvESRxUQBomKW1AGZxTSy1xIuMAJUCpQyiUTi98o/oLqdNN+IMKu0hqBQV1fJBFyh6opYWlRTM0rm+kH8BbyX4CEDESEm/6YUWGTqwBAEFBo6WdznYKOZTWzDEbxKHWrUQM9SIZgEThWpESlGqVSMUC5Qdgb1LZRKAFgecMnSsAQIuORXEt2r70U3Dci+l77mB5m4c8VlD5qQI2B52SwbXv7gIz7+7g/4L37/Ay7WnlUXePLiMd47AlH2obTAQENweBfFzHzsRmqvR32xth4SGKKUGhML7B/7gb7Y3u81QKTK+hh5qyl4e1nxzvEMNiuGqzPsrJFUzhaZjJKP3CtMqVwe+WKflULtI6ExgzFJ4qXz4inXp54+m0Gg1K5kaNHpWdPn9avnzmbj0uzEJH1kIe19VG4zj4N795vabwx7zJVkwi+G1KBMIYksRv+2xJLyiTspGrO0zoqEvidsW8Jux+5mK94uQcaMsi6pmpLmaC7ACjEBV3JPyurEsvS49YA1Fovmn/3eH/BHn57y6fNzfJS2lQg0ArLEL9aCflFgKjOXfMqC15RlIi79Jc65J8+LCsnoaCVDo9R5Bgw0GiX1EiPOx+S5qBKGnLJPxkifmGWDl0BLzqPQ5I0aErAk30eNw6a0tRgY/EDfB5yLDL0nRAGj+j7ggwBIu96NZaC0oraG0ihqDd3gGZxnSMCVVmCzX1mEzdDTB7FF6H1MIFvAprJUgPNOjOMjHGuVkm1oSg210dSGX+j42te+xrMnp/zF05f8tz/4IZs/qenaGf/x//YBXx3mvH1Vs21PWcwLDg7PKQ9mrAbFx09WLBpPsfX80uEBr9NS/Pptmt9esCsH5rdKjh/OUMcLiUk6J/KpDfA0QtxNi+JjJ3425Vp8aIa03jreTCCDsrKmGZTYFjQqJfAxsgu83fDJv/w+5YMD3vxf3ILZHcRnSIvv0xgk5SD+RiREtMA1XHWStcq3KTuVhrNKwAbbg7kSVkhv4KWRBTdRzruxcsoyJolIAqx2gwBifYTzrQAdQ42+6PBe82E4RL29QTee4mOZanRQvL2qee4Leqt4wJqXhWJ3ELn9P/mQy5eOm8sCXj7gfrxkrs95RskwLBhCw81xw/Umsuk8s7ilbxzDYQJmQkD1geqywXFCGBoWZz+ijUs6tWShtkRWKLWju6fRlxp7A2+uOmIfCRqODz/BzUoezxp+fVNjnlfwQwtPPp5A37IXoLE3UldfLuArJfzxVkCLpoWZg52BtoRPEjsjMxxvIlx4IW4EZOF4nNrEJsCVl+epjZS1Rsr9Uy2fN8CdrbAAaisSvJ2CVYC6lfs6LxG2D+KvVSXgMAOSDtiWAka6IAwwm2wSisT40kraR99LtjvnUxxvhKHtBmFIuU5A1VqDbaT9+SGBkUVqjz9EmCcGCeAzODQgsruIdIYPkSD+OZM064RJ5pQBAM/kP1UgBu4Vk1F69oi5x8RMyf1jBnyZ/c2fH9sYGN+7BLWCWZamgTCDKrmn2eXe9zbJaBkmpkwUc/Nxuqjg9AXuyRP+1bsfsH1haU9LvvOdF+j5ivpkx+7N+5RngfIZfOyu6G9WEM4pTxS3NnB4FYktLDrLkS+Yzz1UO4Zuh37W0/slV4evM7+/4Y3Q8c72jOGDO5x2nk+do/pK5N7O8Vurlu9+4zGb9Rz3o6/zteOCcnFFPLzi8tPAxdbxpO+pa0Owlq7w/M8fVPztLy945zdO4Pxa2swbh1JOtEyZ5LJP2FmqzxumbGcX6X2T5tFnTF5kx6mecrlmkCjX85LJZDwb/g/pWllCd5PaCEzsqG2qk8P02oupfvgR0jabdI/nqZ09RNhMW6YjX+cinVftta+N9JVhkI3t0YOthzH73mrvuoUwDzsNuzPp/y5I/OC8/H2q4c4O7hspZ21kDPj0SsDxQsHqWgDwIcALBzrgw5Y/+m++w3e+94y/eO8Zw61Ao8FeRY5ewOWx4pN3FA8+cPTnsFoVnOsV7vCSsBx4eV6x7Oc8HA756Jc6+jDATWR9dB+PBSL95i5nQXEe4cF5iTeO6yoShsfMd5H7W8XwpWtaZ1i9LPiIHcuuwTy3xKuIW9eE/g3u3fkQFyw356/Rtx8T4k7WPx/OMAvgnQ28kKlr03h2R0f0R3eguQMPTwWQ2kbwSfLo1sLctQnMQ0u5btKmi1dSfXYr8fB1J7L8Im1AXOpEqPNwV4sf4BqJ5QoN6kzYprsoGVZbJ3Pq0x39nYG+cVxdDhxtK+rWcHOz48b1bE0gvjHnOMKBVixOLtletgxrx8I0XKod69Cjts85dIaZ11x2A3HuCVVgexXYrj3DNnD3ouF00bGtHfpFECBKKRZ1Q2ECRRFYmopFUbKoSn7W8YVBqZtejF8Xs4qD2uJ1gTcFdw8PuLWccTCr+fD5KZfPz/jRy0v+zGqqwlAXBYvKcm/Z8MbxnK8f3+P+subhsiYER2U0s8Kgh0hUyYzUKJQyUzANibUyBWNhlMsgFZskcpJEwxOjwlQF56st7z99wUcXG27PC/7m67fR80uUXaC3HnV6jTIG7f3IepCFeqLThUA2w5WgayB7WyhjZachjWljUO5j8qOW76sok6hKvifBB2ySG0Tn0F4Rg8J7LTGbg/a656Se8ebRIW8uLU9bz9rFPWne+PTjEdOiX1SE8ZVYZcKNfnIAtR8w/by77zEF4yqte0qtee1wwUFTgU5Z67JptYkjsKgKYY9oPNwRCq2KisIaWSgNAdY7wuCTGT4jbTn2TtqHYpRNxRDRaaNI1H4CLHl4Zcdb+RTshRQwJbAvsxBiYmTpXMCE8dnyE0NEpyBavILSF6xKqs7UVkeGnUIbm0z8xchfaSXm+nWFKkvZZa6SFNB3sth2hqiNmEyn6okKAWOpEmqepEpZiqoQsMkWskizRZLFlpnWxWiQrZIcUGnBK0ZJqpoAiggQiKYSv6v83UhiYxWgKllQ5vVRBqFGD6EUkmZPI2ICpHrZ4XRrcP9/5v4s1rYtP+/DfqOZzWp3f84+7e3vrZZVxWIjFiWKamKLghJTRmQgQJ5s5CEPAQK/BXlIECDwg/2WPAUJBMQBbMUSjCSUJdOWEsohKZGsKlZ767bnnr7Z/WpnM5o8/Meca53LYtUtNkbmxb5n7bXnmmvO0f+/8X3fv0o7MBUokQkSIsoKqPb8w494/4eP+eG755APWbozHp+dMqsrOjNy+cbEeOtrSsBglRZ+n2YLbRpGH7pvsZ0EpOw+0bOrupaQgnRU11a698DHgFWqT0zyxm7BazuWiXW0zZomOIrxqNMcpZ3eT93b9hdtPZO0rTQGpi9UPjGMVKq0jvXZs6UisWmFdRRDkiinOipLWegri0om4NG1cn6QTJOxo5HVNW3lcLVnsWrxdUtwYQs0j1t1HtEEbJRmPSk0OtPCWrQGbUUmFENAdVkC+49HMaJOIBModKbQifHYS8jaFlU36KYha2pMkPprlcFqi8mU+MylTQQ7LHr7IZHwBfCBwli0NriomEwHTMY5g8JS1W1/Pxt087ONlZ8VkPoT4NWnBnKVwOeXyEif8ehAJZAhtfHisbRcOJq6Zd3KmBpCxMdIE8DH2DNuIwL2d8+ukA0WH2XjBNQGT073qzvmbjc/afF09L3vU0ysJLY861PrTv/oCGNryBI2Ksu7iA5RBnUvsr7SWkot1jQ5ilyBIbKyOUsfqIJ4hWkl43WxGUqFNRtlDZIZg9WKTGuMVWRakf05QakH5wuKVcaXwzX2sorljZxqUPL2csqxzhmVhkdLePfxBc9/dIrNDYWC0ijMrR0+Nxzzi6MprxwcU1zLsTcLhrXHFho9tNJftJZF7QIJFG7GzcZ6C2A2QBRRCmpoRS7QAFdRMunoINIsY1ieVZx+75Krp57xIOO1uyNsNsX4UtKfry/ELmGWyQI8AiuFJOhQoJ1cSzsZz7vkMj5tMo6UxGd1om0YI//mSXrug3x2rASkaiMMU5/3wLyBsUu+wh5WWr4/96hdzc6Ngt+8MeKbleP5SqQP46tIjiy2Mi9MF91CfDqCc8tEz5gvS2JdoGJGi6IJnqxpiGpFtA6/uEJjsJkiRodeRbIgmzi+8KDhoN2jdg1OL5iMFLFWNE5R5znBaFSE8dridcQNPM9Wx6Lk2PcchVOmFwPuXuzx5s/vsF+MIOZwkABDl+blkg3YPPBgGnhtiNAJMgGRpkH8oc663Xcr2d58AneqrZ17EuDkPExSB3QI68pFKf8i0Gc8hsRGdXCupV4tEvO2aV4a6Z6IJGNWWugmEo/4USeWeAhSn0oJYNmp3HIt92QUjG0CsrRMJmVIbVmJvC03wgTKshRD1Ai40ElWEhuJBQI+dL5VdfrpzKvXCEAwYIPcxXTuTvrp2DQN9GnYd9NnOiZVxYZV0wFkiT3DVv31gMH2XNGNUON0DSXXidAzZJRB/Io6Bs0FksUrsWb650qSoGDg4gUnHzzn+fdPCHHIYlbx4pMzVvoMrWvqGPhgHhmvc/b9hJG+pPUVl6vAIO5KfoKpJ1uuyaNGt5rq3NH4yDoGXqs1WQjouGT2wNNGT9N6dttLSgKv2wzbXKEazVMXmZwFVNVyGuacLAvQNe04MnVgjSfuVLQjsWTJVzmvDgpuZgG1OoNqV7xwerZSgwBC6dnjIzaAjWLDTppJPcVucO9AJo8AQsmnrgdwOv+ygIBcc4gpJtTp+iGCvpLxrwOIIvJ61QhIOl5DO5M+Z58LMLzwAtbrVKdtnrKoOSgeCUDkW2muS6T/75cCOmdRQKWJT0kOMsnkuHLyGPk6SWNb6ZMekdqSGLWHmfjQLTOoV4gcLMC8lg0Ai7TNmFh5Kktzc4CDoYwLPsLRWNYGIYKfQ6NQS0V2NGCyN+L6eEqzmOFyj78N2TOYVAp1ESl2LL51qBYOXEujYT7K4EJR65ZzNcM/36cMa8btjEvjiDgy1eIajYoem61p91rxnl0ZcpdhncRDqwtLi2SkvtN4bkQHO47dZeRq7pmHK85yT/SGEFr8UcQbzbq16GXAa3haGYraYb1maS229tjKQazhRSNlPgOa2QaXMEHyQWSaaAPRBdx5RFtZg9haozAEHXF5gy1aYoD1aSRUMs4bZQhnDopI1hiywqG1wdeO+WWNc57hvqdtWnCenVLLXH4JmYqsY0NjNKOxIstKdjJFLCxlUNigaJ9p6krReBjtwsgVlMnXKs80VmmmYwWZ+EWNdyyu9ATnGUwsk6BxXqGsQxuNsoqQRXQOOotkr2hya9Hmpy+iPjMopWwuXtw+UmSZMInykixlomtCZF43nC8qZuuGzGh8iPgQGA9HvHm8T6ss71wbsjue8OrBGHzTp+P2Pg3KKoJRAgwZnYK0brEa+4XtNvtls2hPAFA630TD/GrFe/ee8a3HZ7x5vM+vvHqLYriLtRnNomblLsmVIo8SkIiXCimFuXyDSqysLhjoj066l6nNXBLS5I6ADJuMZa5fjJkQUC6BK01Ae01MG0LeKWH5NJ5JWXJtOubuNOe8rZm1viuOP/34bHHP5vQ/pyThx319TIGJQmGVYn9YMigyAZ90R2FGIg0lQYoyqf5bR9gdChXSmAQYpc5dKEGZfRQGSOuh8UJHTGyQ4DdMCt8GoS2GDgeL3UP39xtS8KxeeoC0EFNpVx7oHHi6E7WibyvQY2uJuBeT33gKmlXnWyOAirIGpdNiqcsGmF6rIidmmcglTJo824re/Ftrok07hwopp870vE997vubilmG6vwW8pF4WJkMsnIjxwoNXTp42ahTm2v2TB2TSiF9pmNOufXGYF1bmay03Uys3bN1jKtOO61AdZklCMlTqpExoc3Fw6JdpSpJYEmIRKPwwfHk/Qfc/+iUe4+X1GQsmprzxaWkc0/SWpTUb+wqqO/cG4+nmFgSaqsy+yyTbEvLEsDVnZWAp08DU/QB/MbnSLD1TbBOhNvjjFuTjFGpiCoQtEIPygTwpYVNjzxufwECIoWQgEf59qg0fbbRLslCjESjE0M8CMuhow8SiVWdAN4I3gucrALEMSovZPGazOdjXfU+YX0mwRBhuaSdNVRrx2zuaOsW73wyDN8an5N81qq0R6xhOLKoQYYqMtQgh7JAWUsn1VPBg0tSPR9gXfeMq2iEFRvz5LHRMQB9K9kCoyczQYDqNIabTGGyVB5p4a+t3YIZPURF1FpauzaYqNjbGTAZFuS5gVZtpIMbyt1PPX6WcfZPPXcLBxMi7svA5Ge61tYHfGoqvobV0rNcNczWTaJoB2rnqUMydI+KQEgAq4yLWiXMPCpilPO6e4sh9Q0FWusN+JtAKYXC9waz3cii03jbDaqi8EYpFJrCKgoVMYjUWxKDxmTbJ/eTa02pxSal0ELgyIBSa3IfqKIAN0YriWV1B65BbqMAXYCxhsxorNZoq1JW2M9chT/2WEVPqQ03iozD3LDes9QHBaMrhbeBSx15smz56MWCj54tyXONW9c06wr/+nXOjg44PIZXjw/J90uyVyzFRQL2jErefVGC90st0qWdIMFLFZNyQ6eKDwJE5clbIjoJLBolAVLW/T1QX9ScfPec548ajm5MeO3uLkU5wWDwpw0+q9GtwV6WIvOIIaWHzmVesBomSoCu4AQ8QMu9dISRvSCyLZfWVK2Vz5VWXpsoJBWvJd6caAmsG0Rqloe0Wx/FkL2NEkxNDaMjyzeOCx4+sZzOhYVZuGS9ox0GjYkCEOlZhiETR5eQoWOBQeGVokGhvcfkDWhPqGpUlmGt2EuYGlRjZJaYenShKMIQ/DlGzcn3QAcBbUJueiJw3mpq3dIWcD4boUuwheegPmO4zDkMIw6HAwZZ8hmcRnnuGgl8MqRMPQLKhQB7I2GvmULkOONOylMlhlIOyzQfeC/sNaelLMs0JzcO9rS8v1C9/Qi1gn1Pn7gnInNB6wQoUgkcahIQpePL6G9nl+ODSAnTHEbnN6gVDIOctE7M4TwK+6lG1kyTTJ4vKLl+F5jnKjG+jbxWyHVDMhXGSLvpN9wWCONl2+8nsPEZCghzZbT19yydP0FuziAA1DpVyiK91/kIjWRd1BtGp8/Ejk2TPKMIvJxFkK3Xqc90CF0fiww/Ncp0rBgNccaG1bNK16hlP9A56icnnH98zuP3Vyys5Xyx5unlBbVdoFXAtIqz2tE0CqsyynKGUQ21ArssRJE2cmRti1aKUEM7U9Q+siKy78okbFuxWME8ai4iDEzNSCsmOkO7mkVQvLBCwol14IqKdeVospp1AztOcPP9Hc8sE2ZW5jOu5QUHuQFVC2itSWWbwBaqVG8dQNUxzDoGZw3xij5rWc+ESiB4mMt61UfQ5/I3PwKdQBvdQpjRM/tVar/BgmpBdWbhVboHmVslhmnFzL6NYE/g1MN5EJDfpoVTmwlb0QVhvs7T61vAhZKxus5hqmFgxKOo29Upclg6GYcrJZ/Pgshh6xRDTdL5OohVSOVh7UXZYL2832WmLlTCZVOQ43QClr0AxGsvstBhGvMjYNcCKmvNcG/MZH/JdG9JfLjA54F2HFCFwnoYLRTsRqKVQbHEo42h1pY6GhoVaNSKeHUNGyMj5pwXAqhlscL7AVp7jK1od5Xkaaoi1mtUiDTa4ZcabxQxi+yvPTuNJ+SRMhry2BL1nKUWxn9GDcOIzwzrqqRoHTHC5arghqsw3ku2+Mqjai9z76mTuXOmiNUKXEQFA20gqkhbRoJpCQ7q8wybeYkVMWiXEw3UR42oJ5tI9TDgWok8M1vgqwoyz1AVmAwUBr+A9dJT48lURR0aqbe9AepSYWpDMVasdKDJIvvGUg4yYpE2ZrVgD6t5xAWF15pgFaXPMCjxEUyMS5vZDeBoSxmjlRdPwlUGawtTJ+uPXEnskKnkGdgFMT99vfyZQam/99e+zh+8e48/+NEnLKuGZl1T+xkfripiF+sF2BmVvHZtn3du7HPv5IIfPDzharHg2x8t+OEnj9mPijF3+cLRPn69lmDfKlngeE/tPUrJQktHhQ9eggAnRqjdEluprdxBnd9OCqglyFSEtoH5gqKpuD0qGQH3HjzleJCxcoFvfvwJy5XnYFTy1dtHTMuMLC1WSSmp5bt0Hw10mYVkDJPXKjGd+hV/JzfJk9Squ2ljEqNKo3Mli7JWkbU2SWak8cYYca0nKy171vPrr+/xuDrjZC1gQ/dN8ksXIEng4Im9ebNG/cSA5S/rCBHyxP6Jaa3U4Y3RJ4QoxE2KeYWUWVPDskEvKgFmilwylmQpOtmfSPa8nSnUbUoAptBNJUybphUTdC9oNMulBNFti5/XiZLqia7tzwnOJTPcl+8nWglkdQqU+nalrTCdAK2TQ4pSqDy1BaXSddIDW0M0hpBZ1HAgFPuikEURpOgyJNZX2j1sUqS4ToG2NhsKu1JszPZJdkOpJ2RpMVYUqCyH4VB8PrIJmFLYUb1pXpQAIXTMPzaNSnXXTBXXrZ67+w0VtGuhytc1PeNJCigBVAl06363hTC1hrdE+pcNZKHWfY2GTtKn8g6wbuQ73Jroa+xAM3vwCSfv3+Nf/r++zxVDqnzMv/yD32dVN4QoDBe2HsV0UkVS+4uBHv8mAU/pofvwdKvTxK1XKqoEPKqNi0QCBkLXjBHwqg2R2gf2MsNeYbkxzvijF0uqELDA66PIm0cDbrzxCurOHczRNTEV9Mn3oJdD9r2qb1OxbYWaPZv3Zt6KCEpM4Wlb4mKJal0CMrSM0d4lxaywSMmsyGTKQWqbpeywaYgElK/6bHSKhO5GR5zNYLEiVjVh0dAsPK6FPMsZFgZdGqIy0nR7IFCl7zWYzGKMwqru/hRaR1COqAKq6UC5KJLqPO+Zq9IVlGQXyaz0BWNkPogBvLAmZUgx/fq0cEnmGgLUlWTh84HGq66Hi/QvrcOU0ehSQ5Hx9rVDPno2S0n9tpl32x3mv4cjtWPvI3XruVzWuB5k/GxH3AJknQu0taeZeWZnNctVxapp0ckD0UeEORShCZFlCLio0FpauVJgteo9mYTILOOUsUp2zJQAVspIVj6rVN/H8uglnbOGkTHY5J22TmBrJOJC6LFWFdmwH4E2zXUhBQMKwVXmPrLwAaMgVwGrwVqLzjNKoxnkWnKlKJkjtVYYI8y9DXGyA5FlrvJRJKCTP0f1/ca/+yX+Pw/e51/d/4CTy4h2wBn86xPP7HzI4nJEWS54YzLlb9+6zS/+4g6//+EJ/9W3H8OTGd9+eMFTPsAOcj6/d8xb5pqYk2ojfkoPvex+77aSYa2R+Q5SwTUqmUOnyl15CYBGwF6SeXeSXk9KNe9RzyvULDA6hMGwhSeXHF/fp25aTr/1jIt1zWCv5JUvXYf5QBay153IEkIQ6fl5mqNys/kO6yWu9xFmDqhS7G1lrlYaRomRq6zQ+koroMkkg9iKX9ESWJdSobeDzGlVYs5MhUh56+cd5SqiZ5FJVXF1S1ENFO4kcCtrmaYED3v6nCZoPlkUxOgYxSUHFcwzmJuyr0sdNcJMqdHRc1AVLPKWpW1ZZSuOh5rJ0PLxcEZYW3D76OwUTIExIw4mz1jWhmVrOc/rnuUdzPuM5oqdU0WhCvQ1cLdaHqma237JoE1zt1EwCBJgKgshbQYtHTxuYX0FOwr2FawPZS06KOH6IegS9IgNAOMTgJGAFOUR/50EYlVB2HPnDVwpONOwr6WeVYAzI8y0xokPUkTqb1fTZ38chcSuCrCXPJQWXrxVMgUTC8vEih8GCbST/QauFuzlZibrwFBAdQQHa3mG1RCuNVLvj9cincmCAAZ2Ls9VFbCb2tRsDJNTAbpokAbUyUq2pU0aoaV8EYnIO9PqTrJXIADUEsl81gFO0i4ECNLIzXefX6fzSeckSWvvG9UZoOfpsx2bapi+0wCfYyPf+/TR3cNtNou6y/S9iQW0eg93+i7f+of3qKsS7w/5rT/6LU4Kx+J1w/Wnlr1FYPfc87d4hB9BcwueHU7IbM01Fgy/fYarI20D5q0DmnnN8vECXt+nXLYcPV/zyL/CUDUc6UuumV3aWHAVBpR6SRs9L9rIvtJUexXN4SXDaNi9stxYD1jE51zWjkePcoxreWuS8e/f2uU/+U7Gi7pFFS17w0Mmtw7gV2/B6wdQJrnmS0dHEb1AWFNduV6kejiTTV8P+FKYnCZINS9bAVsuGgH4A/BMw44V5t+uFXlrULA/AD2QNbadbLWLDj1G2s50JmbSz2p4OpNkDdUsEdyUDDTjPEmmnSg+lZY2PU+PcuhlXPQWdtcicc0CTDPJPn8SZFyda5kHjBeAS2VwN4OykQQY5QE9Y1DN4KDzpSIB1Foyide5sFjfPE+Ak4EnaxisYbiCJpO/VwZO5sl+J8AdoMjRu0O+XNzl4lbk0lzxg9MMfxnIzxyXXzCohcG8sHD5Ar/vcXcd9zzoCzAfQ10donVNll2S5y/wwAtVEoYF2juoKoriAq9GVOomdVDEbEY8eMLkUaBR8HACn2sb6pHiwQ2Yf1gza4YsD0ecvHPI5fVz1NMLsouCces5yh+zeBhYxSFwHVW8IEYDiyMu8udkZsVovaZdeOqLIKrf+15Av8bg6gg2YvccykETAk99DU8heEWzpzBXYHVkeGfNzrlHBcW5X+NqhY6K8U1Dcy4MpPWRQa1y2SeaTGgGNVo7oobBQU6pDDtLDdd98u4fkmWOzDsGWqHX0sxZKlhKTBYLgxrXhKJhPq0pfMEwlLi1xtQa4xAptPay4XOoRMK/NjBVEq/YFITuNJJ84nwk/cd6IVa0Ov0kYk4T/pRx6+UR7DMd//LbP+LZxYzGe9qocD7SerGITTE7UQWyLGM8GnHnaJ9JkXGQW3Zzw/HOmFcO9vjlu0fUruEffetd/uabt1jXFU/OL/n4dM6dnSFfO95D9q4lUDBJJhJ1CgOSf4dWMQFTcROs91vzgubqPHJ4MOCXi7t8MULdtFzN58zmrWRXspGsKMG0XK3OsWrEoCzIB4MNyBSTz1UnawI2FAi9tcGzFRiECNETawkkVQc8JCmYRLEpQPKe2Dph/iSWi4oR7QNK5djguTYZUNg0WGheYlGol/4ncq1hZoWl5iONTyH3zxA3beRmP1uwJZY1G96B0Ybc5hwMcwZW0WXSUumcDvx4iXAQgdqjWjFfC0525JRJC5R1Q1wl4+w8JxYSSAsII5LKGCPKhbQT0aDaRtioKQAWSZKCqHtT5Ng0Yt7XGajWlbA1Wof2qcy97318JWsXqe2rBB4Jy4Jc920ypuBaBYeq19JB62rTlnrKX5cZL9Vtl54zAZ/9zliMyX/KEMsSinJrZzCT5+/ABq3T81xuMQuT2bDugFYQU8PuVjb3IwDW1nsJ1MGvUW0tAErToqKXMFHTZ/dT1qZBK0uL4FyAsRTQ4ptNGRC3qj8mNl2WsDMPukQFTXv1nCfv3eOD3/8+oZzw+PSKH509oqpriBHTyZ46ppNOwMEGwcWgsUpkeOElGZx4yHT+SDHSW5GG7b7d3e9L3k0bWZ9GgfcUREYW/u2v3ObawLATGtZNy8XaoVCUpgM0DdlgjM6LlFChA5i2r/9yP1QYsAVxolDFgC7bnGSsTO10MHoJbOyBVSVts/dpUom9mJhGG+lYYrqYLJnT5sQiExDSSQZKlVmULchGAscVOxOyUYHOLL1He9eOUl8XUp18j05MOTlPdyifeOJ08j+jxZDfJDBVkOh03a0+5lM/rtv+s8E5AcG9l01y54neidlj6wmtp62CgI1o4d90ySu0whYFpiw4UIoyeOr1WjyWIEnI/vTx8c/jH/VjLrbVFsAaw6Ao2B+PBXT9mS61dS1lCMpSq4xWW7yx6EwmNB0jls1G0AjYQyVmoZSWVhGrpU2pjirajS/IWBtRtBGC1j1wq5KsuB+TYkSHzWLFRmFkuRCpgqNN+xgdkQIlbXNTvh2sDCr5SKmo0SrgtWwrGI9IrEOgiZGhFpZUoWUnVXlYNS4x6wQg8D7gvQBjPvmSHf5Mpf3y8f9993s8engJDwMfV1PyQU0+XLG4suSN49jMOZm0xFcKitevcbBb8PO3DWM3ZDCMXB+X3N4d8uVvHBJtyw//zX3eunGDatFwdnrO7MWavaOSO+WOxLBOwaWi9yEMDmiEDdMYevdT14o83AB4YSblCM3MRobDkrv7x7QECh+hann26ATXQqYLtM4xjYHLSnbUuw23AcJOGQW4TAzpkZfsgFEJuNTJbgstcXNAGC8FAni0a7n/oIT9VSdmpw4SODVKxrki7eyfI2OBSYHRZYFZFOyNdtCjlnqkCNmIJl+Abil8wawxrFHkuWfgHSWRw5FjMFKA5cknFt8NaF2LM5H25hIzc9h1ILeeGEpcW1Boz3LhWFeesHYYp7AxEtc5IV8Siobz+RGtC7jgsVcePfboQWA1jpQexg2MB4HMZmg95sbuiMkkE4yiQoAir6BO46IOsJcC5DYT1kOt4dyCWZCM0VIdNDCtwI1lbLYGiWITcMiYDdNkLZSyaRSm9X4GN8ZQzFK7GsG1FvxaQCCjReY3C8J2JgXIa50y+gU4C1L345AYcQhglZYG+H7SkixVmU1m7U4y8+GgvBJmgkfuM08MARth0spnr4KAl5kWAK+ppXNrJWCCQrJHli6VQQdIGZKeNJXHFRsn+BIBkCLCoOqApYv0mQLxeYINs2mRhqjOUygZr5P6G6fpwRNA2Gd1c6kuRql+OqbPT1qXb4/vKYZhLPcda+A9Zvcfc/md+5hG8/HTK777bM5c5wwqmCzF2Nloie2WoyHLkLE6t4z1goaMlTtG77/ALTzNHLL1gkJZJjs7ZBc5eR7IXoHp6Ql5E8mcx2EwZU02diiWDIzFZiVjtWLQtFidc+/MwMpj3SkXg5o8g1cHir/3zhd4da/g1V3Hv/NQ82K9wk1abuYNY+NljaJ3QE/S83YgUCfV7OYJl96LbGSQSuSuOkqAHVIWUmVSm3SQpf4TjCiEOluNPMJOLdfLraxzVfedHUuqY2ApaR8qjcf5Cq4HwTwX47TnqEGNZeO9tAIe9ZvIaVwOqS27TMChIoBqhdllVfJv9dJnhkbiDZ1kOFpL8+3WdKqQMbaTNfaWDEqYtbUTX1pnZc44WQuz0QKPjSQ+GNQwq+ReopF1aEDGpoUG61C6Ru3C6oOGF99ekK0aQoxUtsA9HUOj8Y0my5aopcI+tbR7prdJuc45dciZtXtk2RU+WLwfUoY5OjMw2aO+rIBAZi8Eg6UhhkxIa8EzXDtOD6EdlOD3cMM1cWdCcTjmzpOKMK95tsrQXlPngRdjaE4OcFqjjk5wKhKdhqVjWjky43GH4O4q3E0j4J3JEjtXY2Zp/WqtgFM+cBAU7EhSmJBnKBXQGqzNyMbCMN0fG4KW5CrZpaHcS+vMEGGUo7Qi1y261qigiMphNDLfTZwk5qs1VC1hIFU3W7TUVwq/hirWDEOGVYbaRGzj0cozLCzrK8dq7RiUBZ6IsZGRUviUBCxrDGqlYa5SAg0vmwR5ECattjBsBJSsgsw3bUgeY42QLtxPGLrS8ZlBqT/+6EFHcEnEjihxUArktBIJldayKzodDZlkmsNc8/rOgLePD/ni7WOKWPPfffyMf/buY965dcjVYskPnzznh0+vaG8d8rXjPfFTTDG4VinQ73N+y6FTMAOyaxTV1u8pAHLKkZeGW+Md8jLn6dkVf/TsBQ9OKqyG472M4WRAWYKjxlHglSVYSSMti9MkIegW2qTXHQ62tQjvp4PUuVUvr0mf7LZ8A9J5o/hK9SyIzki6y3hCxGjFzrAkN6YfQ7vM2f3Xpf9FxCMnt5rGpR3mnxg6vXz8JBDqxwVY2+d3O8x90AFopbHGMC0zCiOgVJfhUILjrQ932rfkjaOSt4AKK7pt7ZgZYYis1lAWsvOXOr4wqwoBQkJEOScDrpMFuEpywGhNKg8jbB7nJWNcW8OqEtlTVcPsSr6rqtFtavRtWgAriJnemNGZBBJ1YFFu6RNyNK2YJ3cmzslH7CUUTieQyJo/CUAoQMfe20p8f+TcaBUUMlCRGQGCjEVZI/JXkMGgSQCSbwRbVQI2RJ1JPbxUvx3gqTdsrg7Z6PRnbk30TmRSTth9QAI5gtyvVsJcIaYJMZMfRd+2BXzr2kQCYpQWwDA4CI7om8ScDMyfPefFvcc8+OAJVXbEyXLFh08eCcM4BZ890KdUH1zGjsopJboBILYAq9iBIySgG/Un+k2HCypeqj0BIJIZvlKwU2aMcsPuKOPXPn+T66UiW1zy8fMrXsxE6jzKDdZKGWubobURH6gu8u78eaRg031uDQDaCCBl89Q22wQ0kiTMW/UZUtkmn6TYA5zpG/xW3XagWPd9fYbR1D6NhlUp7SbP0WXERvGDMgc7ZMMSk1tZ2PWlZLYKLY1IEULfDsQ4vGcMKtffv3QHvamV7h59N17KfcemEaZk1aapIuLrRrJZBo9VWthRzuPbVliSrcctnQAZKQNX52+FUsQmEBvPTp6xk1vGFs46T5St9vRZjl4S+hcAVAnYnzEZlGnT5uW/f9bvEIcvQ4vBa0MwEpSF4FGITE5GAmE4WZ0y1aGxfwKUAtMlTYCUyCOFWFHRKHkdY+yX6EFuVoaIIG6EIG1SpkXJcppsviTBRVcGPSN6qy9GeT+1nMQcVr3Ur/OLckGGJGNUH6OEGGlc2zvGxBBwXn5a7/Hhz59979sf3mf9LOKewYtYkk8cQx/xS8swOiZZzfOhotlRNIc5RV7w6r7luhlxdN1y8/qUOzf38Mee9z885bt//JTjv3GNxdmaxx+ccL5sifked8KeADsBCTDoqPpR3kfJatUkMEMFqRzVAVPI3woFxpHnmoPJGKUN4XJN9dEp95+cYYLl7sERxSQns4mZtdtK/2m1LJSz9J1dErJhoGdK9UolJQFV0y1sVAq2gjAV0hhAqxKDKohUpE5MSI2AUiqK4atNjcIHaA2mzdktd7DZAm8dUeUEtUaFljwY1nXBMmgmqhbSgQlMRp7RrsETWWixd7AhiJepUkQdaKc1+SqS+4gpPaEd4f2A0q6oqkCrZFPLRGHmxdYQ84qQVywv7xKDSMTsssCWNVoFlLVoG7E6UmQBbQxBleyPB5Sl3QA3TZTYu02tX0UxKFda6tu3UgdOSaa6XImcLgNstyYwMn+ETF5rZEecMm10sJmLFCLJG5egp6nDFRD3QNWglmlX0orR77mDizSWlwFeRKEx5iFtoETBdJoiqd88fRY5p7uFJJStaLcUstO+TmqD8VpkSS5CUYnBr02L9XEabC6RNqyVfO+qlbnQaFg2Sfo3TNnquvmq6+MdM6mjDF7Re1HFLkPabgrqHcKKydLrEykHsnSdKl0npVenTe91HeCCPykf7Ay4OuaTkn9VRr8e60a+PqPb9vik/sTvMRr8/DmLhyecv3tOaPd4dj7nu/cfM7yVs9N6dpct9VjWTHWMnGc583XBYp7zuewc63NcO2J13RJ8IKw8vq6JmUaNC/LnYHfATGG8mKExBCzBeWzmGU8rTFxT2IJhWcBlRUHEGsu9c0PlGpRewU7B7jTnnYOSX/uV17k1NozCOb92veXF3DEbKo5GMMhVavOd5xdsAL7AxgDcpDroyinJ+JQG03lERfpMiCRgPnfJWD617UnnE6akHrPOZ6wDIEFYUp00sxtQU/2RMifmSnzxUMJmikraf7kLw5F4oVFJ34wK9Ire9yzGzbW9FrAxJtmmNfKMUQkggpYxvg+fgwBbwUjziqmddWUQtGwaVEE2AOYJmI1GXpdBgKmzTMDcgYMTRy/TzpE+HLVsENBK/9uXPq2eeQbO4TLLOi/gopS1FwFtYiL0KXxZoFqPig1jOwcm+DjFxCWBDB9zJtUarYa4bMxKOUysKeOKdp7Wm2R4pTDKkzvFsohEa8nqCaHMiOMJ2ahkf9VwOW85aQxEmRqrSSRcDImZh71TVDsSqaVqBGjVmnZoCbsQpkoYctpIXDjWIh/0SJ2mSWoQLGaEeGx6Qxz6BA52hALFpFDCMmqROhqnOXkWhQ1ttbD5VpmMk7bbpEFeVyqRPz3RKoKOrOpAXBriKrIoG1SEQkXWwZP5SOZhWlrWoaFuAoX1tDYQTISYEdCyKVhp2VxYI3Fbo2TM9VHmD7QAlU0Q0CqoRFSMEp90mPtPOT4zKLXwoZ8nUhKcl0CJEAPaKM7mc65WFa9f3+N4UnL9+iF/9+tf4GhnwLi0/Na//B3+6fce8Y++94RyaKjXa56dnPK3Pv8Wr97YY3w4wlcJ6VZKpBoqim+N7pabJLlbFwz3PQ5MR8EPvP/BM87mFaeLhi+8fYtn5zP+4KPH/LOPV9zZGfDv793knYMxBwc77F/bQ4VAva44PXnOqnY0ARo0d167SZFbfF1TZJmYdWkjrBDUJqAj/ZoQGpWCRNFCuOSb46WCvCGSJt9y2stQiAKIUdWSsnHdMHxwhs1sj+FsH3ELxNBGyqv2XnbhfD9t/ZmOn9UHRQfQKUdgjJLBro2R0iaNrnPEuBajW5vYPF3VWSNlkFlZ9GVWdiRCGvCSXwzOy+Ji1S0MovxtMIDJRMp3uYarOS+llbcZ0Rjp1FoLqp3lRKuFZjgs4GBPzlEK5pcCSjU1Lt2Tigq1riUgL0viaAeyApUVxM4DK8tk0mnWcHUC66qv91hXEAJRbSSBMqF6OWe1SEb6EZkIUtDt0yQkiAvgJVh3reyMGKHdx+AkBGvSrnhn0t/UAtLVtVxTKaE657mAR3WVvpNUNkbuqwc30qCnjPwYK33SalRmoRiJxjgrEiAiQJOwbyxkSSrgKlg+BzsUOR8NLJ7D6lTKmrQoDS20DdG1cr3M0AbPv/i//BaLuiDuvMIffv8H3D89J7hIllkiJLaSGO37KJm8Pi2xSj1THnULeApA23txgXhhi4THoIgJxpIgeAMEdCQ2tMiPXev4n/39v8LXv3CHX/y5VylXS9TiEv8iw4aGxy9m3H96yVdfP+TW8T6DPMOvZsS8QO8cyEDeBQFb9y1gtjApe/Am9c/+VO+2PtMttLsTIsq3MkEARPUps/5tmG3r8E36uMjjYoww2YEpaUNCURojUl0fwXtCVUGMhFqAIppG/tYDX+l6jadeO5rGUzVBpFhdGwxBTM2Tv1FMHlriHSTfG1NAqyKJGuwoYhAPIKvRxqCtEW8CJYC9bJoU6MKQW015pGRx3UYs4h9kMkk4ERKwcvfObf6O1Uxzw//mt/+IyybIfPTjyuvPeHxW0Er3UvXwqU2PP9vR+f+FKIbljYtUiR3k+uYTsUpjEU9Da0wPWEmMHrFKMco1ufLoBAR1CnitZANRJQyoA5Ikg7yWTWo2w5tGpQBZEchYhUgTIk0IW91CstF2TKyuJ3Qm6OLUQOq3gSaIN1kgDc9KkgDUipSABAjJU0p1IFnEJi+7kj9dMPNZj2++Z+V7Csi4pLUtF8BrdeQyjzwuA6gh977/gtM/OuMX/+2vs7ebMbyj+Mq/9QWK64q40/L4P73HP/u9T/g//+5HeGXITxsW715y9xs3GewYONRwz0s8fEfBC2FgkmmYWgkqcgdPTAI1UjBfKPF+uuYSO1LDv3qBP3E0l1B+/RYnZ3P++Hce8I8/rHntaMj/8g3F4Zcz9G4J4xFcj+Jj8t0UfDsFqwK+nAvzalbDqwMBvS4a2E/j2IWB10oJip4r8TjJgwRXqzSW3XLCjllFkSDUSqRfdwA3kHs+aEUm3mp4vILrGfk68NqHtzmeP+ba8yuGquHZ2lNlkZH2eLNHZMAN9ZTnt/Y53bFcGz3jfl2yXlmK8pxp3ZA7z1kpEr7g4OKZ58ZaMTYKtwNxblCVBLUqU2irGLQtTW1ZeoXK1+RVRrm0kD+T/hc1VXUA8wsZv18c8qJYcDFecLAyrIeKCyXjEasU7A2RINEbed6oIViRy5VK6rdUMIpifPxkLEBdEWF3CWcK3o3wykwexDXwyIhk7tgAD6VuHq0kEGq0ZNQbZLCj4UjLmqT2YqRcjGWDcGcMHArAdGsBN3dIulF4rUo9aIwwjVpQDZtsdt3fJqCOIF4gqNIjUAtkYT2C/VY68KiCG112O2Hu0nq4WshrE2CvFfbelRLD9rVPmEQtgUwOmCWoZApPjgAKQG+C3vkRdZ5P6ZFiAHvOxiA9Q7L1dfK7QELy2JhnD9nszuitcwrgFeBaut5VKiODRIAOAa6uI2ysho0/FcB7wPvw0lpnG4QByAhV5PE//B2qq4hqbvDJsyWr5YwddcLqZIewG9G3YX1fce4i69jy0eUlTil0DgdXLTpecDNe8oePrrM3XfHK65fsrTRPTcW3ihWTNjB5btg7zXjLWM7H8O5x5NqTwLRy/PJZQ7YD1DX+Rc0fXNQcjDVfvRn5taLl3sDzb6aKf/jv/jpf/Podjv/GbYw5R12u4d6AX1rPOP/Ecv9HOde+8hbjV3fT8863ynI/PXNXhi7VZQdUqVQnHQjVZenraIjJk6svxyEb8/s1m+x8CWTaBqnSSjQhMggVqmPGPZfv0xp2rtH7V41aNgDWSFQEbgl2BVeZsJZGF/L3aGTcM1YAqWdBssPXLcS8X+uxciLbs0ESSay8sBS7jW8PLDK5VgCOQ1JVeAFayygbA9bI2BKNrOmvtEjAo4ZBLgbpuadPbZsX8rkyvVe3shD4+hG/pFuOY+A//ue/x4f5gIu9A4oPnrHTNByGlotGGMkBhfpoH+IaE1fce9MQsjnEJc29u0S7gr377J+VZFVOeArVG1eM1g13nsB78RWcacmyc+p6QMwK1MGANx8/YuDXKB7h7nwRwyH2hWL2MHK1clQ7LeWiJAuRaR1Z2RMaIs155ObpkpCveHTrkifhJtnKMn1UUXygKSdB5rioBZdYRF60a9atp6lrzNqhQsRYxbGeMMTAwhMnskHrZ2BXLUpHwTJaI0wz4wX4R8F+LdI7p2E3A+sStj0UE3vt4Hkpm0J7EYYZ2q8o6obb+7kwAHMDoUTlQhzYdzmqaGEkIOb10Q4xM6h8CTGTuXgeyfaSXPVpJW2gjNJeWiX3oLww+zDwIyObFwMPi8RAVFHk+d2i76ccnxmUEiZACulSw4/ExFJQsuuoSFnkPN/64AHD3LBTZvz8rWOM3meUjxhlllf2xvzSK8e8c2OPaj1mtxjwjbfvcndnSGw9qgNrFHR8etX5pUCfAUwC+0h0sqiMRHzb8uB8xr/56Cm/8+E5l5WnjXD8aMGqrrn/vOLLb97mraMxB8djPnh2zmUTODi6xrNTSfv9r3/4EfcuHSjF9Z2cv1KvGWaG2dWMs2VgWBZ8/u41bt69STkok7IvMWU6DxsFHTW9kzF0kpPIp/2ULP1qum3k5+oSrEEZCZAT5s3mQ1t108WZUREDtCmY6tm7f8bjZ5WgvPR1StqMc455XVPrUkzwXNEHEGK6vBUcxyhyLYXopZ2T4CvJ4xTiF0NMG1RdkKtIYJUEwxKgdrsf6bqh6e8xPdwGwOzSoueFfFeMUgdddqihyOTUaALjseyODEYwmAroEpUs7OqKuJihZhdiCr24BLT48rhWJG8h0jvmaiVAXPo7q6U8R5edMIEACvq21IOeWqMWDeQLAfjKUkyiOzP0npUnctDYve6+t64FQDOK6EOSBFook8n8todVxwZTXd9XG1DEGBjsQrEDxe5Wa0jPqYwAgL38QSa36Fvi4ilqeSlgXOvYLAQ6E++AHhacvzjn+aMXPLkI1EQq1XLv9IL5usJaLVI8ugA7pN/jp9p+3Pr/5pU1um8jt4YZyZeeZ0uHj4l5ETaf64CsrouHEGl8oAWmuebOfsmv/PWvcfNwyum8ZqIMhR1QTPew8SFT7Xltarm2P2F6dEi8/Tp6/0jkdr0MuQvQU/vumFDeSbsMQRhDHSCbZHk9J1JFqZ8OvOiB67gBcTpw6NMDRPjU75DYSfQAXwfvqW4B5rYEjiGk9htSBkABQTcWWWlsjxHlIzpT2KjItdlc3+jNBB9Mz3ZTCZToMw12oHQAFQwqFNJMDSibDLW1EXliQg87IE2bxIxSknFSx4iOXU7Gjs0lMk1lNAcHO3z+7bvc/r3vE+cVl17K7tPj45+VEfWTzt9S+KY1p8f5lmVd/UzsnV7ymA6jAoXx7OQRPTQ0xuK9pg02MYMErIoxElLG2W6zpesDWonQXiNxr+6urxRWbRIDdOdtx03bkHGQCUOedwss1igGOlLESIxmc36MfZjYJSuAmDBdubJGI1I/07c/GQvDlkSVfv4xCYjqgPiYzg2pfX8G5vlPPPoNpA6UazUq5FxZRfAwXSkqBePGM21afvv991FqiNITXnnnhOtqypghu4Xm566P+c3P3+Qrh4c0quXFvOCNn7vG7vWBeKHsRpGcKLNhh5SIL5OPyRInBceVEXmWRmj4KnDxfMUn37/gv/nWI9yq5UAprp0tubpa88MfPuJLP/86b9/dJT8e8ODdJflh4NavTOCTJbOHV9z7vYc8uFxhjOHW3h5vDvZRueLZ8xnL31szHBS88eoNGB7DOIOdxPTUGg60gCFGASXolIk0G4lEbRyEMRVKmWPGQEgBWbZICyUPB04YVE0NZYsrIo2N5C5QFmAyBUuwLHGl5+Rgl5g3DOs1oxdTVtFTO0dTW2beYGPENmu8TfcW4SrmNMEymq0hrCiywFGhmXlLFRR7k5aFgXWlwWUMQ6T0LVlQzGxkkSsYgQkWW1uObtQs68i6ynnhPOPcU+w4YTeNjWASXdbCPMgmXowSLJwaiZ/HCBjYEUXWCdRZagH0WqRcVqsELoUUpzt44oRd7hILwloJeLQXNsUKuK9khzzEtMnhoZjD8gxWZ9IrTZO+J4rZfoyQD8QLhyEJ9WQjeSsR8GcFPISrM6jn0J5IEBS1tOuqEubHGPHdVFH8dFSSDi0rKYeQOnbbyDPOldRZUOK7FbSwwmYN5KeQXcEkF+aVUsLE0mkNuERAXJNYfqpbV1oonACjWY6k/u7mpQ6sKtnQBAdsMrvF9NwdeNRV3G766dj03SjXlVspfRaNsFweImDHPF2/86Uym/PQcHFFfDHj5LLFryJt3fCjx+/zdHZOqwIHAQZLqfYn5QjTrMnrLeaoirgikmeiVHv9asaqarg389QLYcbftYqvHhSMtSbXmuoiEP2Itt3hxD1lQMskRmJrmQBHEd7Ulnmd86+fjbjeBHZ3A//e7cCb33iHg5s7mGcr1E5ERUPcLShbzX5mMa+PKO7mqFsjuH4k9CzGCP2uSs89SiNvV4ZLBFS6kjIPGlyRNqoVG1lmBximDeO+viLSqDtfKqR9xFo2UnWR2IIJDIxewNVuMguZADwAtqKX5lHSZ0bsNmQ6WsnQyOZAPYLO17P00vZQkKeNxpDaSkjMuqMoEu3Ahr26UgJS5UbW7ZfdBjgCZCwzqHJJGjCMcls+XcMrUOUGOzMFDFphMtrE+FNKxqPWy89Ei5SsUWBaxtdG3P7Sa3z5m99BXzb4pycsKvH3XMXA2ma0weBcxs41h20CepEzUYF1rZivNO3ojMK0jFXkPOSYmJED/sUOq3zFk+tL2hcreo/b3UxkZsUpl0uYl4qw26DWj7lWN8RpwVo5VBM5nikWEbKQMT0bUHuHVp5smWGUJ7aa8DTHthmRyHx6hdvfI4wTq2xHw8iiMsNOO2HkAn6thcgQIspKBrouY6gqZM41jUINvIxHmtQWDbhc2GhZEOl6TH36UiX5ZorLgqxz2E8bFirCRURNgFyhVkYArkGQv+lEstBJQuzSluDIoCZG2lbXZabI/XoDt9UGoNTNxvouahnqTIDD9Hs0kCdZJ0o2TDpM+Kccnx2U2gpgNgwp8bcxRmOMABhBRYIPfPz0RJJo5BkvZktu748hjtgbDXj1YIevuYzdQcESSz3W3DnYZb8wEoym1XcfAHdf3S3qBAWi94sJPYJF09Tcf3bFb337Pv/ywZKlhyy3lA+vhO8QPb/69QPuXhvj8siPnr/grIJXX6l57+E5P3zwlH/+/Qd8cBkpMs3nr5dcn+YMreLB01PunVYcTMccT0qu3b6RWCqRaDIJfmyiGiNglEi7hJkTTSavdScQigl064JPJ51YpUUkwk7IVMQkY/dNaP0yMLWpJyXz6qcC8s8Su/Sg34+R8X0aoPqx55CAge4uYyR4z6ptaa2BySgBJel5nd/Ua/K6oQM3tQAUqqP6J5qKUkrY/2kwjSnApWnBVx1kID+934oAHV2w3A/EnR6VtKiLKTAKkikMrcVoOSYPqmIoOtksgyzVd0QAg9VCvKJWc+KL56jVGrVeQV5I2btGDKq7thsFCFJ5Jr5iziVWVdi0h06alPqZ6uRtKbhUJrFFjILcEq2VgL4L2iPCNDL6ZSBMq0QFNfRm5FlGzHIxkFZiHC1+EwmgyswGFQ2hN3OPxkI2gHwM5Z58RiemVQcyqZergXZJbNewuiSul6i6EeCl6/QdI1JrVJ5zebHg/gePuaoz1kQWYc2L+YIQArk1tLEDpSQ1fRfsbkExn27p/e0oFEZFMqN568Yuw0z63fLeGcs20EaVlJhb41A/DEkZaMCHwCjPefv6Dm9/6Q0Ka/joOx/iMhjrnGLngDzPmZY5+5lib2dCubcPRzdR0120tX3boAcRBVzqWW7e9Rm2RO4IKNtLMEll0Mt/u7Yc2dRD1287D59urdWVUoxb5SWAzfafZWhTfeC+zVjtQHC1JQUE0piX2mMC6btxwKS/i1VUuk7qt/11urtJ0i8BmRMLMkZwEa20AHNG9wqW3s8KTTSpz3SQmkpZVbudmySPjV32zlROKsr9TsZDbt884nhccFm3XFa+v7cY40+UPv/FHlImIXga514Cdrrjx95LKsvtvxkVyVVkZANZofFa2qAPyWctKkIIhBBoncdF2VwJHRMYMKnupE42HlRBb+aBEFP9oMRyomuCCbSSjVsJohVRmKQ9C1BhiCJsSZhWjAIGd+GdMSrJ/cX4vMtKaHoAWZFlCp3WfD54fAj4ELqtLQBsN95GAbUlKYLCKSVd6k+Zcz/roYP4SXTyWeM1ykE1tpRONsxdlUAT5/jmo8c07YQstFxezNk7GMDEMplmvHVrAk5xPS84KzRMhuwfjxiOrCyQRypJE7UE8d06ZO2SRCv9XSuRCeRpLq4VrCMX91Z86799wj/+5DEtjtfHhrvPG9bLmk+enfONv/dFXrk9ZG0jDz+eUS5b9n7+gNWPZjx7/wXf+fY9PrxsKAY59esVd26Ln9zje2dcvP+C/d0Rb+zuyoJYFwI8dFK0CSSqHJBYVV3K+1EXJDYQB3JO7IL2tB50lbw30ki2sRbKQJsH6gxyL6B0biC2AZXVRKO5HBwxCieU64rs6T7GVigV8N6wRqNVZDfOIRpC8lBZx4wmZuhVg8ocZV4xzSO+Eh+W8e5K1kTK4rBkoaWMnsxbFlbSjGcDh640WZtxuFOjLqFZWs5D4GYW0MPEDioj7BpYlEneGMUAmTQWLhJYVgDkKTsXwrzo1jpNkiUN0vqrUhKs7kYBda7ajcxumNZQEQFfQiuMqblOcXkCNVsvLPbQwmwpHTQL8t0jLX5hXXazYUsP1MSh1GEsQA3BnQILUAvZlF2tYDUXA+egBEtYr2UuWebyvTrKfaZNDNnQzSSILiPoVkCpmYJJYomcp/WRjrBu5JxMwZ4S02ZtYG+5kcBexuQ7FVNAlhjVYQLDxBwY5/TmqDps2mwwoHNEdpcjpi8dvN2BUkM2bLEREk1ur123j5jq2yHgy2OEUdaBWJ5NBr4u+x+4ixnVJ4+Z1+Cco27WPDp7zFXbCLYRIVawruF0r2AUHbudYCUqNIb1IBCLQJZFjq4qHreeF8vIaBnZM4obA8s33t5nWIh/4Pe/NycPBaaZsOAhbWiJraaqAKu4XkYOtKYKGU+XQ6xruTHQ/O3bGdc//wqDwhAf3JO2nUv8kOUldtoyuJaTXc/hcAB712ScYEhyKE9lMdwq605a2WVI1BJ8e6BPYNCVYVf2aQ0TO4AqRdXK0HN7Yys/YSmnRCt1ozpgyqV6tRAGSeYUwLZpMrPyozuGFmzC8piIWBqqgfxdOQFZQmobZQJKLTIeuPRd+4inU4P0bW1l/M9bYbVkBrJUNkoJYNEpVXaNfG+GsCR92ihXA/m+QRCWVIzCtAwpPiiMXGuuhak6tEk2DERHOR1gXi95bX/E5WXNk5MFVetwSm61NRoXC5waMBjX2AriekDmalStWM01frwkM4EB8FRpjFKMARYFzcRxtrsinK1Fhh0j9ciCrdHxkrkpiaXC7TrGj8/wwRBHx/hciA/TtaLKIiZqBqsSXSzRSmGdwaNwQcNFhs2AwlEP1viJDGN4JyTPKJv7I4yMo8s0PvmwiY2igiJt7HVj5SCtRVdKyjIY6btFI4BSk6VsokpIfzHFblmUtqmiNP08jW1t2Mjm50oAI02a+xO4ZStpF0HLd5TIOOiNyMNDlEQZszTU7KY+46wkvrAxERH1JlvvXpCEFWsrYGrnNTbQGzP/n3J8dlAq/avSb0aLX9D+7j4+OJq2YbVapZPk7P2y4NW9Me+8co3r13bIRjlf//qX2X3wlNGPPuY/+e1v8/BqxVXtGKjIr759k7/6hVu4dSVBipZv7BfdXSAUAzhP6wPLFoZFiS0y7CDj0bs/5JuPz/nHH87IBiWYyMo7Fi1oIpmCT15ccv/5OR89OWEZLGV2xX/xvad8//4LLquWJfDlW/scjnLyoWGwe8Sq9fyrF6dkrebacMJXv/R5bFagapkkomqJyslg04EiKoo0LLOya9mZ8CbohuCgWidT7cSCcC2qdaj1GqxF1Q1DGvHwgF5S8WPrqBs72Sze/zzHz7rb3xFjldJpUS+LRF/khFs34CtvEZtAZ7bcseBijKCTnj6yYY0FiK6RsvFO2ETdv1VFDOn9XqrmBcgwhmiSXC954aioBEC0aXA2Vhg8fZTj5To+gHeSjU+rzU5k3cByDhcXEhD37VDApFhX0DpULdcQdoqBcNXfG50Pjveb701NWgEbs7CfAKts7fBLkC3AZQh+oyWLipAAAZNwAZXqszeV72R6Nu3EDJKB42QEw1JYY4Ox7G7mOYwGCVwwYl7eSfkAVudQz6A6h3wqhqjZANV5RAQnTDVfw/y5nFsvYD2TZzZWBkNt5YcoII0xtOsrPvn4BX/whw8Y3f0y9+/f5/sffYhLZv9tjLgelPoJbZlNOWzei1SN48Y4452jMf/R/+4/4OhgSmgd//v/9f+Jb9474Y9P10yGIslofWTVOIgRrRRVDFwfl3zhaMqPHp3x5tEOf+sbX2a0d4iKkenePp+8f4+Do31u/JVf4HONQs8uGbZr4sF1OLgOu9ckSxwQYxBw1bWyu18l6adPLAJjoSiJ5UBA0SInGpOYIoHYtHJ+XUO1FLN/124piyPEbtcv9b+X2h1baLZMkjHFPtKAwtb53WkdT2a7YBOgYI3IY7eBydiZVCsoypQxNn1/J6PqgkvoF4WSIEFvgiuV+lJImTb789VL99Ezlz7VFlQPjn9qkozQ7S4rBPhVUZPZjMloyOcOp8xrx7NqQRVfBvv/NGDqL8rwPCJZHQdAYSw7g2HP7PqzHAaDiYrYOmL0aB3IrUZtC9WibLoQ2HiRQQ/2dcClDIdeQL3YZZIFUISgaAP4GGmC2AG1MQrLMLGuZA7YMLBiGh8FKxSGlE6lACEluJVFaZkprNF9UpTOf1JtZdAICYTt6sIoAUq3Jayx2+hAALMQIyZGikL19/PnOa7XNXNrWeQZ7JTk8zVFVbPzG68zUZHBoubZNz/hbKGYVQXLesXP3Vrx195SvP3V20yuDWBSo379OjfvjdmZXvKf/qN/wx8+n/OtWcP/4fiXeOdzx9x65xiulrJAnQC3PayMmF5nZmNcfdoKCOUNXFg4MPB5C//dkh88vOI/evcTslsVehh5b6g5+d4j1FLG29kHjh89OuG/uXjAbLBiuBhx//+24L/4J9/j+YsFMQT+B3/n61y/lkN5Bvu7NJXm+WWNyyOTmzvw63ehWIvUfWVhnclC96hKFDgLMfmdqMjGZ6cFluCXMm/7mRSwRxbEszWERhgC6xwWCjXMaUrHqmiIlFRnlhAVw0FL3Qzx8xL1gWYRp6zJcOEpS39Ao6cMBhcAaBOwBwp7VpDNh6zVAVm2xJQN59VtrrnIjnJU42dMm3326hGLySN2p5796HlPwezEsjwvqMIh1i2YsOTG7Clnu1NmOzvw8AUETSDjhCOe6IxjsyKcG3jlGK7dhaNOTlQhS/g0+71hQJVsMr11mb8GCAtklgqpBtawMBuT8cWZACdmF0otwS8NqHEaIwO9gXMcgxqlnuIQZo+S1/FSvkNFiEvETHlX6qsDS9zDDaP2IhnjhgCP09w0DeINViHZnq6WiUVgxaC8DhDWwiTIlKQkf5FY6Hta5s6gYSbmwXglktImgQ6nRmSAhUsg0VC8Up452XCMCr7nhcRVpoXoLMijFhZWaRNtModQiZfLzQyaMcQC9nI4juIZNDsUBtZAC9ut8ybikN5gmoNUPw9SmY7lnnqPou0jAGeImfozxCQ9T9fQ6XWQ+iVJaljz4IcvuP/PP2R054s8nN3n4/lH1Hh20Byi+We1J6dlbFrOdzXrGKmvvHC0/Jih3+G7+wtyFoybBSN/zCo0jJgzUQ1v3B7w9a/s8Rv/2/8p4/0xvnWM/+f/lOl7F/hnp5zsgLcaDKyeVzzNFatdxYsnnjf2Cv7DtzJ+57srrh9f55f+5lcYjL4A4xo1uoJ/9RymE/iFN1H/nkItF+ilh+MRjA4QWWOWfrr2vwQ+Sn1AsQH9OqbZVGKO0m6Vk0EAvpDKfybxxUqBqeV9h0jpjII46UM9dCrzECXBUtkREHTKRtdKLKjSRhpW1AHOSdVPipStrJJYIyqYJFmpUcIkNUNpAouT5OcUhLlynMnanYIeCGu0SPbaIGyhYZD4Y2qkDy1beDuDxUAA3mwJU58kf0Mh3i2QcbSMglpeaGHVXgF3vQC9l5kU7cgJe+bJUECLmINZi4xrDJwdCHZyt2H37hHq1HLRLqnKOc2goR203HpeM/QDSrXD+t5j5oy44BruQYU2SzJ7ye7pMU255vHOKX58TuEcEz9EHzyjdYHmSQ7GMVGe63XLhz4nrgPTs8iqBO81xUc5v3Sz5M2jCXDM3ttjrsYtjx+AWa8hVCz0HB9L8hjZrWueqbs4DcPhKYPjB8So0C9KMMeEwT7szGBVy+LmPJM6yANc86AHsuFy0gjAXhiJK5+nLJ6vGLgoYGmFqTb1Ah7qmdSjs7DnZGxILCu6NXO7SlnXrTDfxoX8/WCR/g7ccLAcCLCVrTcs0l2dvKks7K9h1orEeS9tXAQlLGbdyLO9yKX9qkbapAnSXupMmFtKw84ikf60ZH3XQX5y6LyXf9rxmUGpUVkkj41AXTuRyGiwmQUXhbmqNEoFrDV87dUjvnjzgK/cuUblHPfP5zxfrNnRDd99dMJv//AhT+drDoc537izz1du73BjrxR2bJHJZJLYMpAW3smAVcXA9997xMcnC77/YonNC+5c2+Pn377No5VjGeBwXDIaDahaz8nMMxlkECJN43h+NsMoqBvPi2VNiPDMKi4bJ15mKKaDguvTkld2Cr718Qkn8zUPX8z4H339Tb766jHOeX708T28D1w7mHKwv0OeWULbBUKygFdtm54lLaC2d/hjBNckmYtPiLRP5ufy1MKINL0s4mWw4sccHcjDZ2NH/bRjmyH104KubbP5LjuSC57VsqI9O4PHZdqZSuCQzTbMCVtAktrE3jBXpyA6LbpsCsyzFOz2QFLauVJAAqRIzDUJpKLsCoJ0nKIg2sQKMnYDSnUBewR8AnBMaoMhimly6zalL1v2xNZDb/wtwFmMoIIs5lQMKUNYF0j75AsUU2p632dojD49Tydd3KKodGmjVVfHUbx2etBLdeiW2shoQqCT/nWZ2Tq5YOwCuEx2WJXRwtQKW1+YvlzYXhGlPCgr2TBVlE0h1Uo7r2qivkr00CQn69hnKkkzqwXUa1SzhsuzJEvzMljlBdhcAL6yIOY5nzx8xsnzBVUcoJqG2WrJ+WKO0eJbIwyGHw9Ixa1Xm17zMkgRFQQfCXWLvrgkH+bY4YB/6699mdHkYxZ/8B73GydJpLTiretjUFC5yMEo46271/nGV9/h/osrrl3b58tfe4tc52gN12/f4OrpCVkIXD15weDOa5hqBRenqL0DmO6hbZ686aLsrmVK+oFKnnPJqLvz+Yom7Vx5D3WNCtJ+YltLpsnub51/XQhsSwIVmzYiGHDX1+j77lYxQVQvlaMwodTL53Qrs5cGHFnM/4kRIwE5ghvodEc9CrHpV9vgVD9e6g2zsTsPEstu6162gYZO8ho32xsvWdhvj9UkgE2lnX3VNRDZhCnznFvTko/OLCaNr9uj8Y9jkv5FAFJdV46p32c2I88LyrIUGeJPmA5+8oUBLYwxlcbbGLs5d2MY3gGUXcFugz1R0Y+xKjEsZXzqQCBkU04LzGejIiMmsmzsCy+EsCGHblWhKGXkN60TCK8SeIXIiW0va4atRrmZl7bKLrJpLjG1rT5bYEQ2U9IvwvySNc9fACbFeucO2W7L3rTh8nGLaT250uTDW6zigsv6BaM5NFkJt3b4B6/e4itvjfn5z+1RLAOre0tWbcP+rubJdy753m8/4Pfvn1GOM/7Blw959c4+O/ulZCJTaXFqtLAMbJQAIdPSpx1cfnLK6fmMTy5PGS6ucf3VHd74xj7Pnq8JDfz88Q5Hr5ecrFu+/UlN8ZZF1YH2WcW8PSFmETdY8L2HLZUPTD56wAd5wfIoQjunOIjs7Bsmdso3H56yeFHz4DvP+MY33uL2mwdE5Xnxx89QdeTa3pEYVGdaCnqRdpTHdSIQOFDPZaHsg6wjVC1jXNvQG4CvVFpjafFOKkDpAG3DjRruBMWzY0dceEwF03XgUge89mTqgtIpjFcsGTOkYZcW1Q5Z24YQGoYXsHKONqsYtkusazEhMOaCkdLooHh+WlJWNUWsZR2xGME6x9oFbm5wzhL3DMPcMDKG2ZmlzoRpFZqIHVrGo4KbuWGqIusHLeefa1EXS4YXZxCfSMCTIxtrChlQtUH8kYZspEcOiXqhZ2xgIGYvKcEYpJ6itDDXVEifH8u81Af3mzWBXCBno+MY0INTANxlY9TddZ4g0j7dCuC4oxBZ0xDyc/l7UYA7F5liuwu2TvfQwi1Za4lkKhO2U1nD7ZV8b+GT/Y+GqoDJAowTKdMgMUzmWoKtLIJaCw5RRfHhKpEBd6GFBZVFAetuNHJvq601qYoSSMYEQGVK2qNLay6bZDOGFIxtZ2OrUnl1QEhXP0/oJS9C40mvt32HWuAFxPO0nooi4TIm9XUFpyuYFjDM4Edz4pnD5RPW0fPw6YrvvXvFrFVi/6Ijd0yLjylpjTmnnggzcd8FRlXLMJ7xwtSYVcvgHBpfoYiMyXh21HBz7CnbGrtsMFOPHlg+95vvYH7nHvVv/Yj/Z6sZx4x3lOJrnzvEqkjWNsSvjXjljUN+8a+8wmu/2HJw+5DpV99BFw0KB/YQpheQBdTlAsZ3YbiE3VMY7oKdbNppX66dXLLTIHVgXbd5logDKo0rnedXrOFqLUAONnl0BpG8kSanNoJqZVxtdRqXEoiQp3VDk8maxXgZd1dK2vJgJYwSHYWJonPZJBhFMRZfhmRcnaRcrUNM9REQoPO+KpTcYx3kekGJ39BlmqNVALWSayiE6ddouYeVEryuiQI2hUr64rpN3VjJuFpl0rb3E5NmETdJJqwXzBMlAHbVCENrkcsGQigkA6hqBRBeI+P1wKLyjGk+Yc/O2DNLLvZafLTEesDlzpymXjNePscmCWobLwmThfhH+jHDMGPUNEzmmudqisOy4BJ96aCIuH1FXEcWKifYXdpsTmEqhtcV62WKySKUN4YMr1kKM+fk+YjzFxHTBhrGeNMS7JKghSE9zzKUWpLFwLBtqM93cdHimkDWeHLXCrPpMpd198QJa9Wl8u4IcDtZYgkEKZuYQZvDqZJ2UyDjjEvkCFem4VWLjLPzZS2UbOI0MTHStsDPMkhbWacEElnqHgVQtAKOd/Lj1UDaiw1QjeSeMg9FLn3Ee5H7u6QKyBLIFZSw4ALJNwxp08bL2Koj7Lr03ErOu+rW7dtr9R9/fGZQapBl+BgkTXI359ClVpedbK1lR9Mo+OLd6/yVN2/wC6/f4L3HVzRnc4LWXMsavnn/Ob977zmzSvG5ox3+9ls3+PzNHfanJZGIypL8p0sDHpN0zav+oT58fsIf3Dvlv/7wArKCL9w9Ro/GXF2uWQa4vTchzy2X64azuWZvWOJ84KwJrKpGsn8GmK0q1k6uaTPJLqQClJlld1jy+uGE3/rOA55cLgkh8tbNa9w+2uPZxYwffPiAGAK5vsvuqJRJSlISbgE46f4TGBE7pgxs3u+CwSiSAQEZggQMMYpEYjvw+AmL434h/hcASG1f77P8rYsjtx8dRL/uL6/gmUYtVglYylB5AcagjJGFiMkSC0e8YOjM7TupjREtbNQKVNLmBiPlqdWGCaWt7IJokzLfeWJoUianwGZxpXtmTh98KQEF+silu642KJ0lfzAE9ElG2NLHE9gUmg1d3ifghi7S6qKu0O8URieLrBgESIjd7kmTAIcUuIksTwq1C5pIgJaATG4DOHQyRyCGgEplilJiKO4csV6LLCwGKfPou8gdyhEUJRQDkR9mKd1pN56oBJB0AX0CWmO7hrjo760HFbpyVEom2rYVNs98RaxW0FRS3+m74nqJGg4JecGD9x5yeV4R7IjFasV8tWJZrVEmQ0WR6vS39en22b0ZN79vREXdh0Si5GpHe3ZFmI7IhkN+4atv0raOhw+ecvJsiVWK62XGL7xxHbRmVnve2C/5wtuv8Gt/9cucXK3Ix2N2bx9jGoc1ir3piJ1Bga9rZo+fMfniO9jJhDaCnu6Kj1Qfgae2gRIw1SpUSPJIMe6T241edtKc69mVyrVSn73f1FZQn56xe9a+kHQHxih6xluPNfUC3P4qiq0xpWNWbYMAf2KY2ALeX6qUzk9PyWKn64udHLT7olQmqgM1o0jD+rLaru0NFWzTldPvcWvg3P5UX0YJbIkJlNpshmyxv7ywcqzV7JYZw0x3CtOtW/jLAaR+3GGNJcsEmNL9xs1P+a4fh1x1w2A3XkRhNenUrwMvl18X+7IFSsa+UEVKrLWmY8MJoy1tImuR2Gl0EpR0cnT5T3B1RYgqsaxks6KTcCoiWmsBvfo72nRsCRO7sTbdT9/+OhBM6qT33KfzjZK76fyzuve7D7nQvf/nO6q9a4yvLxgdzPHPHZnV5ChiM2IZamZ1ZNxolmVGszvkb3zhNl/+3D5vvLPPyQcz5hcts6uW+kbGe9854/f/4Anv1wt+5eYRf/fnrnPr5g7FTgbawXBML4VWWnxIJsn/plJwDldPF9x79ITff/Ih42c1b5xWTI8Uj58tCC7ylVv7HN+oeP/5km9etez8/JhYt6xmFY1a0CpQpePeaeD0ao2Ja9a39wjFgFitMGVgNNLsjnb4o0+ec/VoQThbcvt4j+NrOywuZrz4wXNsrbn2xR1ZA0SEDr5KjatsoE5joF3KIr5RME9BH0EYMBY5v1I98MYVYqROgMZz0CiuBcOTPQmuDFAukaxPJqBZUZoSg+UiDNhVCyY4vB9Ta4dHka01IQu4smHoVoBCB8VQzSmwxGC5uhpQqyUDWzFsDO0iJ8yH6EIyxoWgYKDICkWpFc+MpdUtaEfwoK0mH1kOpzCYRTgJrJae6XIFs3NozyRIGVkwRdq1Jq2Xq/SztfjXmo1vk6ZnOWbduKkE5OqMl0nmukR6H6QYJYjaDuI7eZikmZJzVWKfBw3qgB5EUQW9fEU7+gx0NgeGEHdh/EjqWY0QryQN+gYbo+iV3J/qGHMdErlmw8RqJEtUZYQpdagkGKOUvhCQrI3FUMb+UENWic/UJAFRGlgNIatT/ymEqWCiJNbLkUGtWovXi1OSIMC75NFVylrVJmsDWyYlALwMjGgkarxiw3i7SmXbgYkdI3WxKW8sMJO1lmuEUb1upJ+PrLC5ztZgC2KR07x3irvwUI5Yx4az8zWP762IZPhc4TM4dtJ1llah9AJXTAl6zI31imGoKNsa7T2mjdg1uLjGYDHecD6GygbUqhGW4u4QNTTc/mt3CKsli299xD+/HLJn4fNjw+2few3rI/FszvjtQ65/4Rpv/bXX+OLPaUmicucWhHmSPA1TQO7hdAZ3b0FeSp2rKajOpyvFhnFJD5aqwVaZp8x8McprnwzkVZukc7V859IJ24UoQIshSYZ1CsJjkiopaWc03QQngUDUwhrxlYChgyDnOSVgk/IJlNJizqWtAAHLIMBU7oXBpwPUaX0OUqfdukgbASDaKP5PrZYucpa6rApQrBJQqoX9UufC1olKPhejsAdNAkjqmMrJCDO/0jLuGi2fq6KArTYxsdYk5r6BhZeyChnsrFNAlNZRIVVP45NPYMZAl4wzxaRYEYeRsM6J9ZD5/gJPhVpUjK0lqgYdZ1AsIAxRfkJU5xTBMa01l9kEp1tW2RXDRSTqSBg6lI80pqQejAj1c3TWkI8Uqo7ENvmE7g7R0xybV8wWBYuFSOadMjhTE+0m2do6sxi1wgZPVnlWswGOjFbVWN+SuVaef2kkFpq2Aog7K3Y860bazJ4R3z6Xyj0MoLUCGg7THD1cS3kGJaDUIKYs7wNoaynbkd7ExpkRYFAraWNFGs91thk6opKNKpsAJ5vG81liQWkPzSgxmoKA6b6Vcb3xUv9eC8DqSP5idiP/blTy9YsC2hdRnqUlxehaSLo2bOacn3B8ZlCKCEZZ8tLy2o0pl4sFZ1czHj16gjDvNTePdlmsKpbrmjuvvIIaFvzo2QX/4f/1t1k1nqLIWS9XkmI5Rg7KnC/cOuTv/8rPcTgtxJh0HaXD6ygdmJh8TQLKy8TpQ8Pp5RUPL2a8d7aiYcmPzq747XfvcZgb3jg+4jd/9Wt858OPUEQORwO+cvcGl8uK08tHfO2tV2hcy+++e4+IQiudDI8DIQZciJytHJ/LB/z6L3ye33v/KXuDPf4nf+vnqdYV//q9T/i//973OB5afu72NX7jlyZYH4jrRgzNusCq8zBKjBpSvqCYPADU1qK5K2ORjjlY1rK97Dyq8htj9P8/PcTmSKXgUQLIcZ5zbTRmYg1F4+BqiTo/B5QAUVkm/2oDpXhuRZv14BMKYfFsG8jr1CEVm3O6XY/OM6aLXbuMhx0QE1Iqed3fsHTykKSTobtWAkW1TguLXBZ8xkpglJ45dlKizvcnBGJMKHfyrpLAV8s1srxniFHk9K7MmZW6tho12SWiUE4kNd0Rh8OU2aJEswXOkXYO12tZ4CXT87BcCGCBh/GeZMjLRuJt1ckeFfKc2YDeuNy3m2A1RPpMen30GREdfWJxKbUJVDuD7RDSZ9iAcC6xw9qV1ElZill83UBTEa8uEtPMocZjKAvaqPn29x/jiwP2jo/53e9/hxdXl2hjez+ZTQl9hjbaF+bmjaigcoHzecPZZcXuvGa459i7fZu/tbvLL3/lTf4fv/1t8uGQV16/xdd+7asUmcWvW+woR8eAahy7N64Rq4rw7CH+Bxf4GFCZ4WC2YL5YcXk54yg06J0JejRGq0zkvIvHItnrxom8oPPkiqYr7yhAnmuS3LcVMLNtoMilD+WFtK/Qse1SOwyp7LdD6p4d1IERri8W1WV9TO9s2Qd2qqhP9bstsENt5FAxmj/hCRVfepHG97T+6/6okH61rSLswa2wdZEeiFIbkKT/SH8TKJR4FCVQL/bX3Lr/BEp4JawtAUQ236+NZIRptObZKnDVfAoE+9Txl+0v5aL4LmVliX4ph+TPeHTguAt4L8CNiPW2rtjHtorOl+6leuyaQlovB7rnV7Lhj1zUdJ/tNpji5roqKow2ooiIYlEus2VM9n9yN910Soz90LI5RzbGQsre03FM49Ymdwc0ueAJW2C2vBaPqe5c32GqdBuU8Wcylf9xx+KLNVkGu/mA/+BvHHP/asa7Z5d85z/712hlKUvDtRv7XKwarj58zv5ffwfWlvsfzvgf/8e/hb6EYz/kfqhpg6xVDn/R8NpfPeLrf/cLaJdLgHKl4JaVm68dPGsFW9i1aYEZiSbydD7nhx8t+H//bsWz/GPKFx9x7RPHN7Kb3L59nV/+u1/k8fuXmOIp1796yt8+eJ35syX/7fklR6+9ykAb1u8+pylO0MWaG5cVzx+ds44DmvoWZ+/l+NGIr/3GXT58/CGHty2/8Zu/iW1bHnz4kP/qn/weu9URt25e5/PfSIv3VgnmUTcyuM+BysuCeQJcpUVyHiU4Cil4tHVahJcSwLYOFuvkkQEsc7ybEFhgmZGtclhqXhRQNyW0JRVDmv0CXUQGl4+SgsUSuaSuDUFnnL8dWamM4BT79zUvhlNmWUk5n3PQtpSuBSasSkWVQ/2koB1d4W6eo0pFMQsMFor50wGzrGFlA8tlAVkgUy0UimrZcL6KPIkj/uqe5UvXc47HJaOsBn8K9x0MGiGHLJJHzDgxLsJSGmxIgIfO4KCW1yFLspC0GefHsu7IFJuscya9TgEqj+mD+mqVmLttYpinTlk1wgpwVoDPWknKePMHiRWfS+A9yuBgkq5vIY5lA89HqdOrVgJfImQzwWsGhWz26ShMJ73DJmwxW/e5NWAXU1lfTQ0b7fk1YApmAMMdet8hcwA3G6CCeIaAXRbUaxCv6A2o9XVgLN5RgDSqizQYGlB76f00makE8B3ABii8ZMPiecLGU0pJ+fYZALsjMXFogKdbz7iS89QujFtJG+8C3L8QcEEB4wHk4NqKP/rdexBLRsMBH5r7DO2MdzLLHzY1D8dj6oMJv3I/Z2dvQXntio9igNkKe9lw77WG4HPC+YjiQc1iz7F4x/FLH9ace8cDY/jyfcW1InKyE/BXC6gHUoZHu9z+B1/ixm8cc/h/fMh0mPHaF/fJf/WXUMMIcQaqTBvOwPUc2jXM35dslEpBVspYcNEKKLW7FKmbH8v60dhUF49SOS2lXWE2ddBtQLOQdalXIp1qnUhXDwuIBs6nCdBxAgDsJEB7iQT1KAjjTf23C2mfeS7B9vNKQIjBMLH/IwzG0iddYhA9tnK71z08X0GzErBgmgso+mwl7DZjU8ayQuZdVYm8ORjYjxL4mwCnUSxjdICxFumqb2Vev8oESN5dyxozeJEzqw7QjyI1W9qU3S0mCVcuxv6jBj42MFXycxGFQeVLUDPxO8q0bFjr1FbPo4xNUy9lG42MC9NhAtbkkdeTyOrzkH1Y4FbgmzVqL/bJUx7c3GE6aHknn/PsRyPytmCqW54WBeuBZjRx3HkamE0cz283cL/ArDzjH9UclBqvF8zMgjqW6EyxGEZWg5poDcWq4OGz15ns7fLFVy0HX6m5Gi85/ThSqhU6RRV5VRGVoi0LDncbQoDTy5LD+imt8TwdR6I5lPX23KaMeI2oag+SNLpaCOKbASaHy7EA5nkjjDoQ4CcCqwAnrTCqyiSBzNpOgSvG8jrA5Z5IgXeDbD65tdT5GDgfCOh+cyHDzVrBrUKA/DbCR0NhyJUBDlcJ3AzQngtIminwlwImgdzr5UA8og6vpA94Dfe9MDKtBVeAamSzISBWAI0RgEt5maeXSu533DOa/tTjM4NSzgeCQnbqjSXLcgZFwbry+BS8HI9LmkHGqil5/6MHfBA91XpNVJrdUcbOsOBJXTMtMnaHOb/+9m1+5a1bjEclSmvZCdfdorYDdHwKiGRBGWIghMjPvXqTNTlPVpo/fDaj9p5lXeNbg72YsfvgGfdP57TOc2On5Nn5FbN1g1Hwex88wvnA83kDWqPTgrTzsDIK7uwOuXO0w+TgiK+/cYxrW8Ym8l999xPefXzG/cuab7x2nS/evcZwOML0Wg6VZGwpSI+KPhNWt+RXSpDQDrjogKmYgnxliNaIF5JSmEzkexp+bBC0fXQSnM+6fv5L2dWXx6D1nqptqLXG7U7h1hGxKDYndN5RILIkk7SxNrGcjIY8J+pUHqbLpGUSOJXiQieSJbWh8Mn7CUjCGAE0+zqKfcAsWd4ylC2Sn1SiK3b/Ni1E2RHdGEp3EVgHLIZNHfcBvQR3XUWITFGANTHE1xuwTVx6JYzSSboa48uhZp4mqrwgmnwD0pnOOFqBNcKsKcsEDEHMrCwmnQdW0FapnGKa7LQMlr0UUFhnUSlhWGkjiwa6SC2Ab8WYvZNPJnAuujr5ogkQqEIqx7YhNo1IH7sJM0WVfWbAaiXlCRAUrYOVi9TeikSwrTm9mrGqG6I2OO/7ILHDBgJ/8nipXScpar98jRCJyaFEsb5c0p5dooY6rSkiE2v4xldexRjDdDKgfP4crTTGB9QZSTrXJoprwPg2ZYnTKK+wKiO3JXnpCcuGwArjFTEbSNtYzlFroWXHTHwGojFSB1lqCyFIeXoPURE708oQQVlpZ0EnliXS1tvU3rWBItswkNJ4o3yU83qz/67NdgDWFujTFZhQZ0i0IjYdcFOgGzbVVtm/NLR8apzpft2qPBVfPk29dM3ub2rr4x2Movo4KfT1K3Xs2Zh3C+FK9ThrTKwgyfIpH9RpcaS1xiDUd6UNR4OM3dxgNT8WEf3LBqQU0LSO1gcwBmstRmsa59GbYvnJR6oXH+VHCkTaU1Q65Q1RG2InPf7Um9m/pOBMr0P/squbyEs31F0rpvLfelPe798Rs/IIvjsvyns+NVfnYy/f9cgzCOOqMyqHPttfjD2oJIBTYk6lLw5073fnggsJ5Irg05rjzztH+h96FgcRc6ipsxy7LphUOcP2Aqctyhd84dYNWgJL77g8u+TZw2ecnC15c3bEeM9y7XrG4LtrimFk/0jxubd2+erhDYzLhUWkg/h7uCqRWhKT1kfZubzKIHiUb3n1C8fUbWT+dMl/drlk3Tjq+57fv3nBG6eGyXemvHj/EVnW8Ks37/Jg/oznszUvouWf/tEjrNIsz1YMLteoxnOZZfjpEB00uV9yOFDsjwv0dMprN17BNJFyX/Gf/5fv8oPHz/lOu+Z/8dY+b945FDnV0iS7KL9pXLlOwY2WHdlSi8TERSQDVZQ1YpZJ310iu7Qd46eRcZkdyPOGoavZfxYwzhOyyEUrkiijFTvDM6pQ4Kut8S1qxm4HZdZ41TJ+MaYhZx3gUlXUKiNiicBsMGGhLdmyZhgGZM2Ay3wOLdiFRa0VNCkz8rU5MbQEH8hbg68zvMt4EsSnvokK7hZ4V9JeDFgUDdlkD3uwD9mZBLJZFAZElyBmiOyWt1p20Dt2dFGCyiEOBIxSQX70JA2uHWunM8geQmcm33vxWNnUsmnO0DGBgq2ATk4JsGTSzntRi5GyRt5zWryY2rWwQpSGogJfpzWFEqzFp/osg3zHab1BvVVMmceMeKRlQSKYXEnwpJC2ry6kvTgtzBOtIJwL8yAWEIeJEaWk/FSQ59qp0nxngRXiN+XZRIUjUPsIm6liAz6BgExdVsEZyaE6tcPkDUTJht3VppFOp+sVAiA0TfKecnDWCPhqAzQXGzu1ppKy0FHWHV1SGddI31kFWS+uFXEeaKdpHLSeq8dz6nXEjMb48oKhb5icznmgCkarhsEzzUHwZNFTFIp7fowNjpwVh23OfFZyXmd83NRUw4Z22uJPxsxbz5OVxz93sNfAUNhHOraoaHjjG0dkxlLsDtGzp6gqCEPN5f2anEZLYGuT741Xwh5yqZ4nFs4qYZsUjWR7VhWECzgJUpS7JrGgEBZIPkhs6CDtOQRhAE2U1IUxMmbGICb8KnmKtUHKGw37mZwbtYwzZQJJvRHQPEbJUtaqVD9tMoGOcOJE4kRMcqtWwIELBJttlaz5lykOCAVcBKn/oU87r1r6bxWFFapIxA0jgNQ6pPVTklyFKPKuLEjfO9Mb5adRqS1qOK+kr+XI97cdK0oJ0DnU8iwzJUAzwNoI8Fmm195IH2sTGB2HAkC3Dk4SoKYT6+oQ1IFjeuDIryLNuaEtWzwtGEW2tKja00bP0aWDVeQ8t7Q64CYV9aSiai1Olfg2w5gaX1eMngSq9RAXDdpGorvEK0vjdsAu8c6xXmccTod4FVmuHKtlzXrpoB2yGk1xOw2T3RPqyyHeWUDjd2rIW0K+5iIrZf4hcKV2iDGQuwWOghYroJCzMmS6IOAkKjHNSmnbTWKN5kn+WdRpmLUCFGVI+2sKYaqpRoDJbmyfp2u7Kg3LUZJjaS2M2SykhCVePPBUFNDwDAGsDALsK6QNnhuoIqFRVK0mm1jswEClUDpu1BTRS3tUkdpF2iqitQfVovCUmUW5SGgiVyuIxqF0i1m3+BBwIdCsgxClVooOvv/Tjs8MSrU+9BIHF0EZQ5ZnGKMlpbxSXJ8O0MZQx8jp6QXPLmY8OrtiNJ1yOCm5MSlZzlfsDHLu7k/4tXfu8PaNPdCagN6wbbp17BYo9RKIExRv3rrOymvuna343umCqpaHn/vI+ari2fkVp7M1RWa4NR7w8emMRSUd+rsPTnp2186oIMTAYl2TlrForTgcFewNS8gHfPGV6zTrFTZ6/ujDp/zw6QXKKt48PuDtm0fkeUGoGzYyG/GgUFoCyqiFfdAv2JUsoFWf0YHNah2dBp0kRVPCKlIdI+XPuiv+pxw/bqH9WbJJ/dgFeooYu5DEh0DtvciZh0M43CeiJQRMl+89kSJszLdzlLECsOQdu8iiOoBJ28QikUPVjQz2TTIj7INYoVMqa/vAp7/PJKNUPnmZKGSC70ym21aCdufBt8JUSx5RvSyku84WEKUgMaDSpNEZenonUs2unlNs39EGhHUki29FyjCo9AagRUk7spaYCz1cRRLLykBeCnNK6+TNlKFMBuVA+qc2SKrWWoAk1THOtNxnF+2HINcxJpmci8SSEJL/U8c+S4bcrk4MhEB0FaquNybdbTLebpJ5Y/d7R8VSyHMYLQBXYmNoldGuW5aNx2HFPLmumS2XVG1LVArXt7VNO+jZLT8leOxIXek3HIp1hPV8TXs5h7EirGpUlmPHIz5/90DqsHW4Z88TsKUIiR1HjMS6ESApz3BZgSfiQmC1DjivKYohtMKmRGniSBbjarkmVusEPuV0hs+SvjrI+95D3UgQbbrdYVAYehy086oLQerZSXlGo1LAJmUsAG7y93IkIDZssKWYFv99XKb76hK8Skk/6Ntl34T78tz804ECW++rzWndR9TWef0V46evrfrPbX9F7Ba0AEr1qtneC50UAkSSNKzjq6aRSm1kajpluOyK3yQZnwmd15Jht7CMMs3W8NMff9myva4UWiep6mvnUVqjlWbjz/RT5oete0skTyKGELWAvEHGHhnekqSN7bpKl+mfdTNnS4tT/VkvYZLd67ghvIWt623bggVEzhc6iDTJpD2RNsUorU8AFalZJvSsA566cO9PglKxB7wibJmbR0Jn0h5FsheSF6Dr2L8/DvX+GY7woJU1/1izXkdYwbDRFKqSDQsdePN4DzuyNMZTXS14/73nfO/7z3h99CWuvVJy9KYh/2DN7i7cuaP56s07HAzH+IVGW4OyShaeTSvAjYubgnBBTG0DKOW58foBqgq4Dy/4L3+0YnEZ8bPIB7sLjC74+nrG/NFzir0Br772Gv/i7Ps8uKo4Czm/9+6JTNUZvB7AGcvjTBOHGcoHzHrBtIyMckOIObeOb6HbFl0G/sX37vOthyesb1sOr+9z59a+eOFURjpvlQKlTMlubJEa10pLliJS8NcF+MElIEFtfFYAyDrEUjITWYcJLdMz0INAa+HcZyit0ARGwxmhyahbS1QGYkBHTeFHNEWD1i3FRYGJuVgTFZY2GAgaEyPrvMBlJUWzYNhOKduc09EFWWPJKoM2adJXoKfr3o/DWA8+J7iMS0OaIwPFnkadG9qVZpW1jIYlw50jmFaIhC0K+8kjnblIgWVjk89I1/IGSBQ5RKKTjn0zYSOL66R/MZ3bAVSd5E9vTMCjEcAmthKo60IAhAYIVmRvA59SzwdQLaxyCfTXazFHVkoApNCt2RKolYBhrJV5ZpWCsphuZ1TLd10aMXvOvQTvs+SttesFKIpRgLKhlc/7sPHVCQkAMkqYZkZLG5smdlm0whYwCbhiAP4KYglxBfq5lFkcgW6lLoIHvS9BJS9ILulpdEosK9emMmsgLlKZI4CZLqUNt0sEAKvgfCmZuwolrL8KASZmjQSkhg1wojXspzWeC3CE+GItI3Fg8FHhY+DqZEldBVRZoIJiuGoZzByfFJ69BrJKs+MNg5FiOI08aAZYt2RCxYEvYF0wr4Y88aCMxwxr1qbg0jVQV7TnnnDeoveqxLqPKA3X3poIey8YOH8uoGrphXmjSN5LGmwkjgOuyQkNxFUDywYdIR/nIm3yHsYNhI6dcSG4nslhLGoA8NJGbRoXSOc7kg9PWiujUr34BOJo6QMmiD+OUnBo0oSV4hOTgEirRdnThKRqQcavlRMmk0WkczpIfbVR6qcJkhFtrYTl2UkDNWKEPW+kPU2QuvRp3ecaQaw10ka1koQVKyWAV5Fm1qAE4B85iSmuMhn/SiWf9QlMWjUiD8u9eCA1RsrGe9kMsEpA0iZ9x0TJM9QxyfuMmFxfc3LOUkm85hup+4WVccNoAZGnAfLAaOopcojO4LMWQsTGiK1LVBuJ0bG7allUihfaYlTAlYFm6mExoW0LqmZMbp+StY7ixLBigDc5KtO07Zw25rR6imGN9xrvLUc7Y1rtWTJjtVqxno9wsx1ckBhnVK6p4xTvpS/6QYYarrH5glmdo4Miiw1rNQQi1rWEmOOjlfryRsambqxRSN+tC2gNLJT4oeUBQings0b8t2xMlnNW6q5WAto2qU0ONsMC1ERv02cbVD6QOHDgwHhiFoizKFkBTURfynotlhqdhV5i4lcalorQQO21kD+CRZ0HGEYoItpqSVIVHLRQ1ZGqiujCo6JHOYfJHKrxhDpwNdfEsUMNHFld41yk9YFF4ygaTTHvJ6U/9fjMoNS6btidDNkdl1yePcehcFFRlAbdKozSfOn117h2uMt0OmS1WPEvvv0j3n12zjh4bo4yfuHWDqs6cny4y5deOWZtCt4/WfLkdMGvvn3MeFhi8ixlyYCIloE6dpI3MTnNrGF8eMy1RvHW9VPyHyh0VFhlUERePdrj3/mrX+af/M63OJ1V3D+veb6oaZxLmdAjZW7ZHQ/5H/7827Te84cfP+LRmTCrjNE8P5/zgw8fk0X467/8JawOfPD+e6wCTAvLr78x5RtvvcJb1w8Jy3XPlBG5yBb4kILnmOQ5KgXweN8vpLdX7T1LwAFaEYKmaqVtSqn8NFBqK+r77/HoMrtFUgcgoo0ms5awboirhWSv04qYlWIyXgxEVqOVgB3dznoyypadAAFOVC+bSz5ObR+Nyw1oI2bp0fXBuQpKgBebmFVd+US5XxX9Vlht0i5C7AGrGKKwfYgpaDD0KeS74g1RFpExLWCyTCZHJZGt8lHAgLZJUXJMMrZGpJptk6R/6T7S9UVVlLgGysjgE5Jx896BDP7OyUQVo0i3mhrlHGp+ITtl2kiLbBthKFVrYVtpLZTb7ovyBPYpLWBtkjbGLNWD93B2AouFXMOLLlp1MgltiEUOr7wmgFTTJKBGwD2MlsWC1sST8zTRtbCupHxDBJsltpyBpuVqXvNo1oAaMqtbLudz5r6lCRIoxq2a+9kb66b6NOBCZEHk6QpurxwsV8SzS7nveUlrM/AB3XpMcBCVgOjGoPIMPSxhusvFvOX+kznfe/SQJxdzPjm5ZJhnvHNjj7/z1VfIyxKbSeClT0+lfMsShsMEJtX0RvTBoJql/L6upa4V0r5ah3Ie1fgePAqwxeRTsjA3mpiGeNWZ/fu0yGnSAqkDTbf6hupfb5Vu6pqyOEuITwcmbYEhHXD+kqKuH4rUNt60qYEtgKs7QtzuZ6pn0vRG1Iqe7aKjtFeVYhofdRoV1ObelEmkr5jszVQPpmit0dpgrBVPQcBkOoHCBpUZXJ7Ras3KCfkCSO3wZTDqL5spBdC0NU9Oz/id73yfy+US141RfAYh39YJIWoaMq5UyVw1OBwaybgYELaQAD6gu3ETEJ+8ZFDfXbCLJ9O1ZWnfgX+bWDPGsMWUUluAkbwXIrjoX1Zspt9DApQ6htfGiHxjnL4Bt+QCIW0QxeQPpbq5NrWdl0CpdE5MxubCpJXr9zkk/jzH3ae8cXeHL9ycsv79H9COHPYg0jwuqGgx5Zo7r2cc3Ngh2x1R/MBz76njvfYBN/1TpvEab9kb2F8qmE4zrh+VtMsBVx9F/MMFh39TYcoBxANYLoVBsmeEtdD5PxyvhUFSlWByRseeu1+9w+t/9IBPLltOQuD2R4Z33h7w+V+7i331nKvzgkff2+HdJzknK01VTSnLC/aOHF/4uuHv7H8Jv4bvPXzOv/rmY058zfKGYh0umd/PePGfa47+/mtkWYQ/fsKLYWB6UPC/unadV375GtyawmkFu7mATucKJlECqosedhR2wot2A7SNU4B2aUTeo4GBgXmSQGUhrS0EqHlfWb6rDceN54SMRZFRXdslu1yim4pHBslypSEuD8mrBaqtOSse0x4MCOWQx08uiXErL9o8YnzgiJqZP2dlZbw9CTUOD1NFduYYNC3ju5psPkItS5486QBUxXo14uh6w97eguaDiA0Ooz35vQVHh5bsnQFNuIYPS+BKmEZ5nqTeu7Iu6Vpn5lOqd4/cZZeJrJslWmTZP/1U4wzp/JF8BxrJK98xqJr0OgOVnl7Z9DrZGwxECcAopoR8GomkziXYRiVWSpKtKYOsahOEHK/Sve2ASusaFBtH9rTei4kJaFsBvNQKZql9LxI7KUeyS6ko68nBGOpLAcaaHZgM5J5HIQVzqYOHRtg5D2q4XUk7JMDpmWQsa38ghvxWw6yEw0rM1S9NMt/umGXndDA93Jcg84MXYijd+MQQkw0irjQcaMl6detQmECNE7bDIjEelpn4o+0FeFaCrYQFc5HB+koYaOt9YaS0VqRY61aYFk+m1CiW2vHe8oyidgxaxWEqjk5fYHehmBpWi2Ni5vB5Rf5sxqBumWqNYsmN/RW3r2m+e9/SNMCTnHenJ5hWM25Lnp22lOcrptdqOG8SCKvBW2F9jTy8sNKXyyBteUfBHQ16JD5H7y/40Yf3uLqsWVy0hKC4cWvM1375GKZTaQqLFpb3BXQsxvC6kXVEF9F6ncCASwFI6lZ86LSCqYUnCSSKQcAClMg9i/O0gTeU7KRBgR/A9ZBAnxoe18JI807a+kiJZEm5JEMdyPo6D3BUS3uqoqyVLxKAe72SZu2CsF2GCAgfM+kDMZc6bGvEnyoI0DwkAe/JZuNSwUUuWdv2ss1msIrJ9wnpR6s0eY9qmGfCchoPpF0GhG01bAXgHQM+hyaH1Y70fdPIeDPIhdV6qmQeUQoGVQLXDISFxB47YzhQMCtgNoR3tEi3okddZIzPFTfPHc8uS/IGdp3i3uGaso4ctJrmZsV6VVCdDDjgkqYqqc/2KIsFStXAFdXUU9VjFvWB1F+oCNUVZwNLKCqa0YeUs4LQlDTNlPmDgmAqYgaPn3/C0F3yUah451sfsz+f8bSNDPJL2lLA4up5zmDouHMHPnnqWa8LPPsc774gRsXzqyN0lWObBCyWiSHnRtJvm1bK+3mR/PedsDVbJYDxoJbxeq+Bi4Gc4yvYW6V5sEhsUuBDAze1AJWPGmLy+1I7GVwkEGsUYeqIeWSV5dStJgbFnovMHmc0LnLoFWpiaIvIw7AkVg5TRY6O4CI2LOcN7eMl4ZqCHcXhpaFdBdw6kj21VERqDXHi0QuFWlme5GuMqVHa0dQ70u4zR/ANRczJGFBnDZVvUaH5/xH3H8G2Zfl5J/ZbZrtjrn/3mXz5Ml+lqyyUAYgiCEs0PchuqcmOaKOQxIFCoZFCERq0JpqphxooQgqFOBBDAzFC6laT6lY3mwQdCMdCAeWyKqsqfebz711/3HbLabDWPue8LABVhQLInXHz3nfOtsvt9f/W931/ftj2I4NSzoe0qhrTY3dtz7Lt1z4MXgh+49vvUVUFeZ4hvGexXPG5F474i5+7y2dv7vH69V3acB+BJ6wu+I33L3nt+iG//OqLZFJTN4bFVc1BkZMpGUkBbjOZDGlpVShJvewQQXHjxnX+2htL7l2ueDDrKEcTXr55nds3rtO1jqbtyaqSlCyMwdgUQBJ44fiQ4C0Pz845mTd0PhCc593TOZet4bLt+XjeMcoC1Kf84mtHVPoGP/3CAUdHR6hqRFjVEMQacyABaCEkU98QoqRnPdP2aznZMCmOMV5YHxffZ4LgoGtDBMzhR8SaRFKAhX8rq/efvvbwO4QouZAOxKqDyxm0HSIrEEWJGMeBLuRFBHIGOdsAnIgEWA3+T2mSsoHdBlBKbsA97zagVNjUw0YimQ5ZL92nVTrSKoJIV3guy5dfA4kbj4L0SwiEjC+SIES698RMUZKQJaAgrBtg/Ld3yfw+ggJrgJLNPmK9NC8I1qR7EoiiiOUiIwgrhgyEIpbdYGwehIjsMkFcodJZXDlSGl9W6/IRzkXAaPDeSeUt1sUkYbITGVrrTIcx4BTWxf2VgqPrGyBWhI2UT8q1JJObd9bsHIyN8jcfmZZBpfvbHdN/8ID6gwdIatq+43K1irLYdEviueb8o5kQD9K9TfvZHOe852pZsypuwKufRRzNWftmtQ2ij4aiwbqkdpLIosBJRYPmq9+5z3tPLvnWxyc8WjTUnaFue3YyRZYL5vYO1/ICkSm8tQhiQoWIcNh1+5JKJqmdX4N/mwwYAmESiOdEfLkNQFLYaq9DBC08oukR0m7anE/jX0IJtqVya2hoTeHbBoY27T5syffWcQOf/mwTwg8gRPx2k81vOE9Yf7N1ufXBA7ARA7g1pysB38NnA9vRkZhQQq7LJrZnuR4L12zcBGQNbCO/HgAEMkSQViKRQRGCJgRJbQSNA+PjPQxF/W9jdI3FG435+75nNptHf7Mio+m658r8j9oCmyGod56V81yimAcVGUE2rIvNeYnbYqwRUu0NnlFsPPyGOwxiAHy2LgTJuywCYdv3ErO0irRYFOvZodZjdvSYikzO4b81di/iNZz3qNSu1DA+kd71yJQA1G+QMRJTKo1Tw116HIMf4tC2gggoP4wbPxkstXPeoq4d0Igp+d0Dzk5nPPlkTltIRBiRuTH/6Lfvke+OYTpi5/IKpyx//S++xt+49RI3X93l6I0p7e9eILBY3/CdR5/w0vE1bty6izBlzHLTzWOgbERc7V/B+uXWuDhprATUHTrzTG+N+bUv3eXBkxmPL2Yc7Rzw5isv8vLtm3zl9/+A86uOwBlF11I4aHOBsYrVCk5PBEc/dUTlA8vmiu9lN2j8ipU452uPTrm86nh44tnfbRiPFAdnPf+TNz+DVvCzLx8wuXYEuorSiGV6x/cu+mEIEZkgLrEX9LqDR5zEpvpQHhoZA0jvEwElxIBvnFgO9QxvLUYILrRGe89OZ3CLmkCO0zm6tdG3mIxxI2lsRucEQhRUs4Zs1dASMDYu3mRZIAsrhIdlrjGJcbWLZTbxWC0JFxOcMfTKc3kxQfY5yiimKAIrfGjRBPqF5swWSN2x7wUjIXgyCeyJPa5Wx9i5IJw18OQS7Cq+J/M+ZseSgx+RZi21wxCjy10iANURo54BXBr22wawRmnf3fT5AGAlrx4q1lKxwXuJgk2lWNY+T0NGWQoIB1HSJ6LkYzNi9um44Txbfj0MJtWeTWY1k86XWAjSJPBqGcGgPEBZx/MpEdkq2DT+j6I/kfIb9r2QkT2iVhD66ONaJkDr2MX9fAJVqmReLkMMzkUB+SQGlspFFojMItNEWxBluv8kGRPAjZ0YqA5JYAZJWKcis6wI0e/K+whY3ElSS0JcQCpVZER8bgyiBdklQ+UZuCVMphFM8DlUe3RPHrBq7pPhkM5iXUfjHN54RC+pDgSyJjJ2gEUb7Q0mXLFQjqfe0u1a3KrALHe40BcxydyF4MbU4hswq0BYwVJ5mrLnmbniILvGzo3PRZBueAe0M2hNBPYKFYP3yoMcgQyEC8uH7zzj9N4lj7/7iN8762npKcqWV+cTRu4Yfv56aiIijhdXRCByrOLCnQgJh032FV0X2Vc2j2PIok3gY3rZWAHnRaqvAKchSgQBFt0GrTtbRE8dFRIDyEW2UK1ilrE8zWeFSCREG7FdgIcqMgZFiJ5MLrX/p1nKlJbeS3XqV72Pck0h4CR5SElgV6XYJkRmok1jpeqSvNnG41WKKXriYrOWEbhSIUkKZQRaKxPZhdHvIZ2D2BZ1mnOaHvbKxC7MYttCx7lnFuK5RQaLndimRy71ZRGvf1VF1uYQxoQcesVqKXg203xwUTHqW7Qv8GECy4zgOgId/kpRBs/1cUsVJixtxsLEiYnyDu0c3WKfwgkm4oyl1uigGLsx6rAh+Aw330P2htYr+syDFmQhMO17ApK2t3zQn7Hz8jHtVcX79x9SugwlPItRhw6A9Syfeg5MRy8dM+VZdlMIkGUr+meC/jgjqAqfW4KwYA02JdvIngpa1WBLhV9pJkqQyTj+1qEkWMfo3CHaLpZTRoyVkNBGIp4XnpFpCLUHIxG2RIg8TnibCo/HS4dpILeRheqMisOMCwhrqHJFXgpE29P3CuMEBzbQigyfCbSFcSGi7dW0ZCIDRQ+iy/He4TLHeOLp60AYXiGJBZkXBdKDCAK909N5g5lZJlS4HlrrYKcgs4LM/PCZ8o8MSkWCR8Baj5YS5wJdZ+Iah5AE4fmDD+6jhEArRakVtw+mvHHjkL/8+Zd58WiX470xpxcNy9WcVT3n+/cesJtrJtVrrFrDvOl4crmkunmILHTy8mALcEiFIaGtDaDY2z/gyy9dMi0Uy27G3v4u1/d3OZhOsM5jjaMcwTTPyKSgtY7euhSTBEZlgSRjv8pjQEgMUB/Oai6bjlnd8K0HF0wLwUs7jr/0hVd48WifO/sHFNWI3kuk82klWSCCT++RsNZHDOwokXwq1hqTBFatZ8Vpkg0B4QRoQbCCvg84/6MF3rGuUiCxFaT8KCv4Pw5wJZ4LOlNkOqAFac7hQpQwCScQnYVFjahXiDxHlH1cKSrHsXNVMTuLkEnnLWRkfkjg04FPApAEpHTkUQO89u9KmQ6j9DN5JTm3BgQjIyoFqt5tynUAnKRax+BBiBjMmwQQhO2GmJ5fwnoiloLhkNgZaJXYYHEVcfAxEZvDWWczGzydhjay7dI73H9qY2GI4oi7REaSSr44A7Ak46pF0InhkEAqpWGUZH3ORrAllUdkpqXCHvTpksjmqUaxUAZpqRpozSlQHY3XrLSgRDQtH+57qNe8GAoWkBGUcnFSG1Qyg9+pMEtLc+8EwpKuNyyaJrW7bbhErB//R263Q1sKz8uSHIH5ckWtcsILL8NhhzAGTIe4uogMsXq1BqWQELKMpguczQy//b2HfOveU37vkyf0MkqRcyGZSsG1/QlnjeGu1NGU3KWo3YVIi01lJEJ8cQoJQfq1DE/YQBgsKMxWX7MCgkxNcpunEjZdZjADXrM2B3BD8jyIIda/Qojm08+X8jaIJNflHjYnZC2F4zk8IgX4Q+kPdSYSO+YHLp/YepsPPZE59RwAFrYOQsR4NEB6I0UwIoHzJCYVyC2G1Aagiv9JZBjKRCCDRAQV/cOCQgRFQNJ7gXXPk8siODV4Vv3g2PtHbSJ5nP3IWzqn9x5jDXXTsDuukAIu54sfcYzflLnxns4HFkGwQGGCx3u/Bg4DAecGZ6jNc8l12W+/XzZ9KzKcNhdSW+BVSsjH8JKIbXR7nWDw/Bpy6aWTpIYhxLpmI6D06YWKtHgxsKA2hLsIMK2ZUWvQa10ySda3DYbFuxBqDen8RFs5A7uQzNoMuT/i4rTm5Dzgdi3a5Uizy2984yFyXKF2JhzIZ3z57g3+vS++zC+//grl7YJwS3HxfkfbtfSy5uH5ffb3FaPD12lrCE2LmC0o7oxie+5FNFRVIgYeXYiB3QToe5QMlAcFP/fqLV4oK95XgcPrL3D3hRscH+yyOAvMZw3V0YzDPIDUeJ1h59GzZnkhqEZj9qTn+lgxVvsUaLQ9552zFReXnqsTyTics7uT85nRlL/22m0OjybIWyN8Mcb1EtVnKVhM1I1tco9bV+Jmc8RgOhABOK8iCCd8ZOMQIoZRJYZNV4N3eAQrpdlzPXkwqKbF6JIgMvIui69ANLtdoAsaGxRClOSLBZWoaYoR3gmcS64CskNqx0qXIASKwAhHXVkoJOL+PuSSkDma2SRmqBSBF32OlzVOWNCGZTNlVmeMRj17SDLgogxchTGr5hDXgV92cLkkav5kBKV2MxBVmrtINsCUJ3pu5UQvpDmROjGAUKT9RPr3KO7HDhutSJKYhQSgUKQxaGAAZWnfPv0MQNUAXKUoS1QglmxAqFSBwaS/ZZwrUbABt4bzWDbZAH16ljzOYQYZ4gAQZS4xXfK4v3cRtIIYUItBTrh5byDTgqZ1m+RCuYDdECU2VkdflrKIt5GH+DyUMN5Jz2QjO62X6T1sYhAfZAz4bVr43B3H74SP5SmKGNQLvTkP5eYdN5mkenSpbAsQJewekbIBxP2Zp7oapfougGO65YolnyBxhNBi3Yo2eXRmFhjL6C3Zgg4iSnP6wN50Qec9pyYgK01vc7pmgtMXaCPIe8mbx3Fe0juP7MCXgaU2XDYLljKHw8+AmMQ5bADqh9HDqO6jX1HuY79VJa42dI8bPv72Uz565wnf+/qH/F4/wU8N+7cW7D455IX9iraz5Hk0AEGFKHPqZRwfVklGWQYIWbzuqosMFJsWt5d9BBC1j/NUKyNraC/Nva+IbST46AU1VhGEbDpYFLEOnYl14kRk5Q3NVsEalPI2yQAFnKvIBFPAVZKbSiLzbScd60KUd1kZE1NMXWz+l2lxPpMwzSJI5H1si0ZEIKzoIoiUp3uXA9Al4k1JnaR9gXUm1srGdnlaxv2zVB9OxvN2LrKxbIhl42QsZ6NjGciQkiOkGKdOAHllouk1Ph4/z2MfVmniZjUhZLSt4LJWPK1zbogligpDBU3qivT4hULnUI4dQu6gW4k2sR8JD5m1CDsmEx27XGCkpghjDsMIM42AoVxNMSzxKiC0JeQe6T1ja9M6r+OpX/H5u3dZnY9YnTzlsI2Mepc7it4hek99Ebgme5y0tNrT9tdABPL8HHsF5kqDyvG+SMSZnl5IsBK9EHRHhl47zLmiGHmUCoig6ckIVlHOVwjRb4ZN4gIo3tIbgScwch2hBWx8H4kh/rQ5XnV4PGYpkI1CEgkGmKT0EY68VHH4sAbnAs4IJkIgtKJXCmEtpRSoQrAalUylZWwdMxc9a4MSqJ0O6QPCEpPYZHHIKrMMTCA4UOMWN3fY2lMWBStj6IxBFCWZclSDZPmP2X5kUEopybJpWDY1QcCkyLmxN2HZ9ljrcc5jPLz54jE/ffcFZm3PwaTihYMprx3u0ZDzndPAS6++yc2DnFv7Cs8/4sbOAVWu+d//w3/NYtVSSsV/8R//VcaF2khNkm+L8IGQTJhVGV9UprYsTcbCKFbWs2McZjFn/vAT7t46JCtzLhYN/9HPvIEn8PHZJe8+OcU4T6Uk/+zffJNCS4J3NKuGvjNorZiMSwiBD8+XeD9jlGfMmn3+s7/1ee7ePMCtVvzuH3wX+o7PXNvhxRvXqYoC0Q/weiC+eOMgJ9j+nEHfsAFxCBtQBOILNY9+B1kmf+Qg59/lFoaAItEvOuuZdY7exdVvdIEQiY7YJS+D3kHbRQrrYIo3RAqCKFfSGrKYnW+dVlgnKZ2U8SUfUnA/sHNslMbhEjBiTAJLEjCidJRPDRdaZ/UTDAbsa+8om7yUhr8HACCxhdaphoVEiCyajKr0wupNerEUke1kDTR1AqcSWGaGezex3n2UWQVnI2i5NnCXDKmFB9ZfXOlI8ECWxzLrunjNooSDo7jiJ+NENQzSr2XM2LDOeDdEky6yl9ZMMZvuJz3vELTHjCM5jKcpiAwwu2DtDTXdieVkDcxnrA1Iqirei9AR6EJs5tMyrdqs5iyenfHs3lMWvWDed8zbhuAjsBAVny753WyyaP14bXXrR4BDcPb4kvNHlyzOlozefD3KGfv4shDOxrZFlPAJ0/Ho99/l629/yH/zG9/gu89OWVrLaFzy2sERxjkuVgvqtuejiwX/w+9/wGdvHTHaHUc7EElkURob63qtVeo3N8WApUQZ2XqB2ad5bZAbzZRP7XhA7UJICRdCyoKWmslgbB4AL5+7Vlz5GEpzAB3kc9F4SPsOcik7ABQiztNsyl0yXGLj8xXHBxEGMCpgt6JMQYybRZrDbBMkB5ZoxEdFApZIUNLGciQAPQIfxBaIFd8Xbqv5SiEQMp3DxwQGQkRDc4GMcj4f/xZCooNCBoULkr1Ms5MpSgWzT+HCz7WvT7GEPr39JGP1ABB5IfjiZ1/naj7n4bNTBiD9jz92symlUEol3oTCA0qG1KQC3nu03Ejk0oM996xiDR4OdyWH5vAcgKwG4EgMIGVIIFPcSfjNeCoDaxDfJ/B9APyGYx2sE1bGsgjr/Xw6dyACeIHkJ+U3YFNIDVQM5x2ecevY4TkHgO4nfbueiVe5+nDOo/vfYtzU3Hhtypf+8k2+/y+fctUtuQqW0cjzy7f3+JtfvIu9+iLlDcvOLYu+KWgWHbOvWN544xXUixX+jkY9e8LR4QQ/Nvz6W2/RPFyRP+z5tf/ZX2F8kMdMUo2OhaVslIRYDWEEC4lvwXYdK+O5tJKHfszeqMJguDr9hC/8+Zc4v2qoFz1/6Rd/FtflPPtE89F33sFljtF4wr3feMLjzNIEwwfdJfNVzZutoH7zZ7mwhu++/w1mHwT2jsb8hZ97kS//zZ9BHuzC4yVn3/4AgeX4hRHsjTYG3VVa8Z8JmAzsJ2LAFEIM6M5IeezLxP6KoFkMDEUMnAoX3ytTDZlABcFBW3Bx21FPA76D6tkz9Mpjq5LyekUxVuSXZyi3A07h24+pVx7TK5p2SuVnaBpm9S7yxRFqV5LfWyJCHKeeUMSJOI6yqjnYD0wrAR8vWY0burLFn8LVHsz34n36UxENaYEmlFzZDHtfoK5fkR/N4PDL0ZrohoJ7eWQllBYWy4gLVQP7qWbNhnKn8f1bHLJmMFCwccwesWFDTYjAxoN1j40/ZxE8Cg7kUzaDTEWMSgzJsGvrPII1wLJ+aa3S+UbE6J94L10Loo3tlGEikLEGxCjTMwXWmfCw6RwDmyqZrRjgqogZ2kIP5xZ2EpjwtI8eO0OWtRsJmTnvY/uSIXoBuSy+fFoTpXx5Abf3IbuWym65dR9JTokBdiFLXkY4mJ3Gc+RlZM4YF5mABy7e9uk4Zs4ba5iU8V2OSuCdZwMWJumkWYIqQJXp+gnAXcPlJTHVX4o7eML84QlPvjljLgXLULPsLjk5f53D1YyxueTrn2iCNhRZz0tdwUq3zPOG8prm+qVk7xEIbuHUCqse0C1LVgqWOXzz9Boq9GTFku5aR7kKHD8T+LfAvTQD9xHoL4DYATGGyTJKmV6oiY7NK2AO3/+Ix9+7zzf+4Xf48JNL2iJw/Pou/5m8S58vmU0+oDFLPlidk//6U37x6JDpkYqg4WoUT/NsBZPkQfa4hbyOQEpTgG9i3RYCQmJQrVp4No7N62YDbhQ9k2YGyjaRCEeg2jhuNgVcTxOI00mUyInEjssSQ3NWRpxQe7jdR38mJ2OfNSbqJIWGehwnLDfrOC7P8whMmtT+qyK2G+dBpb4ZZATzZLImueo33bNLTbINcJBAXqGjvG8VYBlgUsfxQUt4mICmEVFSWeax+wofJaF0MeZCxjn7TCdvvwDLVQR+FaCPUkaGNmbcVBXoXRj1EQDuMrhpYiKBpoyxQuvgqiP4gsPK8dnDC95xDtyKzFgyAhY4SeJo6yaYq33EZ2BnNePu8pRPuhtYZXHVktAJfJhiwoRxd49CX6CLKz6aF2RdzzEfc14UGCEidGsWVFPH/iuS8YNn7OTH7NrXefmLr8PlY7on38R3BtlCOYtMR5FGtT4ElPccty3n+Sl9slnJipasahCFRS+KWOd7Pf2DHCyoI8OuCvhe0YeK+qqhFZZ9PJNCY1TgQhvEKLL18yX0TYtTAW46ds4m6C6jKz1ZUNGF5k6f5u5xEVVSIPtANu9ZVgGbOXaCx/oSR84i6zE9iC5wMBVUy4C2kqeHuwS5BLekeyKZ9iUFGbu1xE87ZlXDZbbEX2n8SvHEego8VRmY7YAvFbLV7D9zGCWxWUavVxR5xqjIOdUSWwS8cqjVitxA1W2zMf7w7UcGpYQQ68AieE+Z5+xPx2RKUhUFo7zg3UdP6azjbNlwe3+M8Z7750vYPSJzDnU547/5rW/xUy9d5y996RU+/8rruLbjk4cPmC1rbh/s8itv3GV3UqG1JngXgyQhGEzEhYyppn/9D77HBxcLPrzqENbwbNEwb3v2VkuWi5zLRcPrL93ixes9tm65tjPmZL7iZLHi7rX95H3oeXC1oHceJQVSCspMY71HqzgpVlIicVjneHI15//1r7/G4bjEdR1PTs6Z5opfeuUWf+vwBqMqA282gaITCUwTEGSyQNpMhodZ73qaH8J6FScM1SOI7Ba5kb38UZPjH9XT5IcFTD/RloJRIZP8RUg657GICNQIvQE2HNDb6LvkfAKc4kt2XQoyGrDFlYf0Ah5YQAMrCBhM8AkJUPFJ8z187iOoFM8bGU1BbgsyUsY5SCyRrZAkZZ0TzsdsfeuQZQjmYU3jGDInShkN1mMhR6P2wdTdJM+lkIApk4CztXF2irbCUKAbNp2gW38uQmxIA3OHzMZrF8X61lnMQalYhkEgbB/NrpMBeXA2adATGDiAeimD3Fr2uN36gogpl7OM0LTgI+MvWMvAdhDFgjUzrWs2iECRxZdelsF0F5Fl0dBeRQBAIPHCUc9XXCw7lkbRGEtn7HMsFJnkWwMuED7VO7awkK0afv73pslGn5oHnefB6Yyn73zMXdMjQ8C3baRfZxqZa6yQnF/MeXj/KV/9g3d59/4z3r+4og9+DTRf1avkjQODeb/QCp/l+Dyt4g4DQKJvD3U5DA4ibO2zXQXepxeSSPNSn8CmDXsJxHrKGrOXbZ8jlU8IWz4/YV0owcvnCm+blSJSgLE+jii9iq+GaD5vh/Nu3UNqremP9JcQccVzq4Z8Atd8EGtAAyFwCVTwbAEdYbDUFpEXEOLc8LnWmgCptUxPbBg7IoFbcv39AE5F+UmQycduYD8m4EoLMSTLZA1V/Dhsp6E8/gTHDJuUEu8Dq6ZFqIxyNOZwf4/ZYoV3DinlD4Bkf/h5RFyAqUb0rVlno9ywhDaADWz62HP9Z+v9sWbJ8VwTAkQCL9NZBtBnPW6m6/L8dWKz9c/VafR7CusMiwObaQA6fWIjb/AlwdqzautnOOEAbG8zpBj6BOk8fpMr8CfZXDAEI3GuwlrBi+Yat9119AsKPcnJ9krePvmIMnfU5579HUnoA6tHhvCL+2TznmJxyX/51u/ySv0ivzD5LC+/+TmMs9z/5JLu41P2y13u/tyr5C/KuDruBOzKOBiZAPsSCkkoA9/+xnd4+HjOJ08abnh4ump499mMO0cl852eZy3ceHnKQTvCLhzjA8XTxyveu/eUWy+PKUcSPfF89eqKqybQLhWjwwZRGZ48K7lzaKhMj5SCx7uehbKYt1eYf/oOx6Xm8ONzTq8adndKfuXnX+T27SmjsoLLxC6xAuYyzqkKn3yjRWQU9DoGRT5E6ZOT8UemRRpJnG/UyZxbVoDCI7kSU8KsJW8NVkQrkCx4mr7HXUmaJqdbjGmDigmMRIbTFY6cYBym8rgM8tZRLUF3gm5ruqCMQSiHDwJr95jNOpq6I9utcdYQVp72usTkkaGlzYIgPKF0mJFBOM3ISV4bNez3Fe7phKYH06c63ItzYayEoKMHUbeEst8wNpoEZogeslnyiMnA1jFwzj00FeAiWCkNyB7kKrJJBsISq6TkUzEADvGtQtUCMjLUVJlMzC0wiwOxB6YJSTQeVBMlfMrHRTMrYpYp38VViDKpIqSIwbMS8dlsEQN/QazblrTwtYLQpA7dJoa5iM+7bOIiX+djYI6MbcUkwIiraMocApyn+ZQGVnqDg+3qZFYcInCWnaQytzFpi/NE8GwFoYOmj30shOh1VSdTamc3OFor4lyr8vFepIrlepWyF/r0jI5YhrKODBgZYNbAuIUygWLDnO9Qgp9EYCW/iOBCRGUxdkHT1thMcXXecfJkxd26plKecrfgBp6FgbaHZyEnd5YdI3l6rsjqjJyci+M5vrfIWrGLxQiJCJKdbo4pHd3YcLgIZK0gR7AcO9rVEr79GG4SF1FdYtRXqe2GQPtwzvI7z3j00WMefHzOe11P5i1963hw2nG9eooUDnc64vHlkpBbfqrysZ1UiaEXbFq90tEzyUoIZZxjChHHvya9rMss2SAEuMgTgBSinHmVzPMPfGIKieS5yQaVsMSxpg0Q0oJ45mGZRTZqkxhKwsfMeiYNBmObfMyIbUl0sW7PVUxMoGUkXvQq3psmYqwuxDFPy1jPVyG1BRG9xlS26Ss2LdIrH++7JQJpmti3RcZaKioDa7befpzXRdZpAoMFKYunjwvSWZcW/0VMBDAkRzLpeUcBslGsAw/oMh7bJc+rzMfrnesYzhaCnX3JtBCMO4HYE1B7dN3SVHHoyTuohKDxLa1fks8cvWg4PwzIZYMvM8zuHuGJpreCKyFweUChWZoJo1lNcIIzP6a1E1AWpVZAwHQwP9M0dUbTSfp7M36h7rnmK34x+wxPzh7QND1Vr+g0uFKwOhC4mY6h5o5jOjN4I2iCR407xL6HayNEv4xlL3bJD4gxZyGiylhI8r0C34lY9tOAtIHMOsa7GroKrECEGkyOdJKqMygcIvfofVJSLklXS5x0CG+plhqTuZQ5OKMNHQaDqQJyYRAGZGkQRTQxv+xKTO9xNpB3NaFTYMZQOBbecNX3UFbgAr6WmFLEPheg7ww2y0BLemPi1C/3XJSekEPIAuEyo+80GEFTdIQ+EGyGryQro3DtnyJTCkiBRAwatFJUZQHeczCdsD+Z8MmzUxpjeDZf8VM3ppwsO57Ma2w5QZoGaVv+2e+/xWL5Gm++cJvrhzc4efaEj+4/otKa129c469/6TVGeQ7ex1V5GV82ce6q8MLTu57fePt93np8xQdzw2dv7NNYR20sq3rF5SLj0cWSvcMjru8JJsZyWjfU1nK+avjM8T6lUjRNyzcfXzDrepSUjDNFriW2j6GUFJJCK7SI2Qcv64Z//PvfiQkMnKdxgRu7E3Ymu/yqkyB0mvCKFGiK51kJAyj16W0AH7aZUsTnRYBM+vfh20AKYlOdPHeqnyDY+ckBqkHqEUEjKSVKCFrnsGEY3VW6z40J+Dql0trTSK3Pt1lNj2W5lj8OIakYgsKwJe+BjcyO+GEYWEcDnTpsgTvxn2II3gefr+Eenoeu1p9+GpRawyEqMq6E3ATHYm20DlsGKvF/Jt7bIHUbQIQwyPCG5wmsM/glHkAKlkmgVPRBCNWYtQRwNov7IAioaIw+mGl37SajXgKlRJ9MtV2IUkqRnlrABhwTkcWXaULTgPUI61O62ngzQs7XAbsIW0CeEtEUvcjjpK0sE3NNRqDBg8Wxmq24rA2r3tMYG5MUhC1QIgGbfqu9D3UitiCqH6zBT21DcAo8tZ7HVyuefvyYl1yLchbqmlBliFEF0wkrE3h4/4SvfeN9/sXbH/NkueJZ2zDJs9juvWfeNCAlUkU5qpCKoCVeZQSZxXSrAYLwbLIrDg0s/T00l7DVJkNIvrADEinWUfYAIIo0/kTiVeRnbsyln2/JdmCTJDB86DFDkxtiO0GI+G+ClmJtDq198K8DG0QCpWKftWyDUpunHBb51NC2iONWBEFSYw6bexhiHL8FVqzTHogUCwznEZvrbFtjyQF4YsO0kmsgKk661uOM2GZhRtleWANTgm1frDUwNZTqnzlbNaxlf23XY4NAZwWH+/ssljU2RCP3HwVDcX4jC1dKobVfZ6gb/NeCH0y/Yb2YMJx7GJpg3fYiMLjV/8LWPmwYSGvQaxhz139vxr8BHBqO81v7rNd3whYgFZIEz2/a2xqI2qozv76vsGH1ra+31Va3zv+ngEkhQotH4CkwWiD8lJ3ugNFNw8GxZu9Y8URKXOt4dtJw7aii7y3NiSNMJmhfozPPf//WN/hV1/MLL32G/Vu3OTk558mjJ2S14fj6hDe+9CpcS6v8qwSqNimgn2SETOGD5Vvvvst337/gOx8Z/vobezxdWR4tl1xenTGaWMSlZv/6iJ1pTjWVXPUrZvWKeycPufPG55iMM0S/4q3ZjAeXgvak5Auf79Cl5fFZxWvjhl3Xo0eS8prmste882HHvd/+gB16Xvr4lEUouH1znzsvHnEtaEZZHiUyxkVQYKVAuBikZSEGjb2MGYsMcX5Y+CghieZhrNnnipjRz8oISgmFQ9CRUy4kxTKgykAWINMCh6NbGsxK0HVjQhBI6ciKDJONsVmBsDNsIRGFpvSOahXIPXSj9PbxnswYukyAVHg7YtkHkD3lrRZ9FVAt+NsC73KULZH9MpKtM7B5fPdmXnA0slSLHFPv0rQC2xGD28pHKY1VMeDvEkOcLrKRRRYNo7WJ6cfdMnoP1UVkNhQuBvSzPElxPIgmBpnKQtFvQB18BADrPLYln2R3u0kWZ0X0OmpFJC95twEOr6U5betSAO7jPc1FTJneGpBdBAdKubGkKkMMsr2CJov+ZwONdjH4Z1rwbVqN6GPArSRMDcwSECBhvXCZJ6BB+Gj8v8pjW7oyEVvKZQQwK5Lfe1wIxnpYtjBaRPCsk7Fse4jyuwZcB7M6AguBKGWyPgKITYh1lBam8Sb5ulnWsvKVTt5pYgM2OuJ8rko2Cc+6COhMA4Q2gSIyml87ku/PMvYVEfuA6Zc0psdmGcuV4fxpxw27QhYVoRxxXTvkIrary6A4dJK9IPjkUjH2Bbui5Hz3BLGU5KuMfdGQocgRjP2CRkJfCPYuovet0zCbwrJpMe+coYsaIVysZ1HBniaMNXaZsXz/gif/7D5vn1zweLXkvnO8JDyttTxZGrQ7oww5uqt4Nm8YHYiErSS1QFCQ1cSOXkTjc6tA5LHtZKmuXXpnlTrNfYFlkRSoPpLw5ia2u+vAhYyglPNpfBHRYs2RwFm/AU2lj+NLIyLTqUqL4DMV91chmVuLBDKG2L8skVm1LyMAio91blP/6tkQGJMCjjq9XCURaB2yZ2cyskszFfuCTfdtMlB9HB9dGeNPKRNoneKfMbGPdyHKCUltXnpwfbwXFWIZChETUQQVy9n4JPuTrP3TrI9M1TAsdKvY57FwESK7dUcwmoToT98JZKZBeqR1UX0dIjA1VuBER5ACuQj0Y0O9B0XfIEuF2RmjnkHAsxABnwekzai7Edfskg7FlShQTNC0SLnEOYnpFKaT9G0FQbJcXWJWPXui4GemL3H+8WPqlaNCYpSgz8EcSbxVSAF+z7O7BNEFjHN0uqEuOtoiIx9FV1K6Mfm0ifOIXsZF+yDRE0nmi2gjsOsJpz3CBYrdHN+VBCcIsgGil1jZCRw9LvOoqcAvA76XtHVOrw3Ce4qZoq8sRgRCKOh8oA8Ok0HhWzLjyZVCyIC3gkWf0xqLd4bjviXMx5HNdtQzCx1LZ6hyTTCR3eUqEHmcGNlVwOUpjrEWnYy6rwqPKkFlAU40PiiclPSZieMlCp8pvMzoww+HnH48UIoYwAgE5/OaVWO4uTfho2cXXH70EGNd9Gxqe7rjHNk5ytbx+OETQlvz7MkJj+uO894xN5Z/8rtfj4Dt6JD/4//q19jPNLrv8W2I4yoyyT2i/EuNxjw+fcY333uH37o/59HKYJXik3kbZbeFbu4OAQABAABJREFU5v6q48MPnvBP3nuEFoKjyYg3rh/y0ekZPsCoKPn1797DBU+lFbU1Ua0VPKvOIoUg14qL+Zwq09zcmfJzd45oreV3PnzMybKJ/VFppqOMg50xO9UIJQoCBcgR3sdwTA2ZQobVpXXEFH5wkjtI19bMn6i3Rgay0RSl9Frx9ydZmf+3tYUgcFucChss87qjbRyhlZssEMI/r9FRpMlkiIP3ENs9F7SnvwfAaR2w+y290FYQH++INeNk/SsyPLaP2Rg+h60fNud4rs7SzXm3Cc2HAE2ADJbn9vx0nadnEltRcwyII202frsV6iaDYTEcO3hNsZG/BEK0T2gcob6In3vSanKK0rapDGzdcFAbtIfBoBPw8nkD7TWyEeKLM15gc17SZyG1++1LrQGIgKSF0BJUndhp0e9F6Bx0zpntefTRCfcuVtQyZ9l31L3BE9YyIC1lDKjX1SrWP9uwwZYyjW3+yNBUfAhIIcikog6eJz18t874mcltMteDvSQbjwlCYGaB/98//W2+dv8Rv3XvIbPgsCH67sR3vkRqiUCTac24LDiZz5k1Le89vaK9DAQvEO02r0uCz9d3FbZ8xEIYnkxu5EbrrpH+weYB17y/EBnXWarNtc/OVsDtARMELgzCYpFqL7bL2Bw2bTAEn6RzcU83GIwL8H7wUNuAWJ6AXEsLBmgqPk0mxRqY8gxsN4FORmvDv4cuo4j7b9/7cK41G0ts+iCIDbLGNhC1YUcNf7stwMkl9qWQw70T/5YpQ7IUdL2Nix/2T0PQ9eNvA7NNSkmRZTw4OWNnPOIzd+7w5NkpvTF/zLGbdqeU4sOnz7Ae/v6/+E3+4k9/nr3xiOWqjmWcho8gNnK56FOxdb70E6W/giEzYiB6tA37bDaB22r5a0ByC8Ras6UGSV1skVuA1qcAL/+8j9na2DyBVGEYd7a6ikvPRQAntjMEivX71Ys1BJYceH5EpO+P2fZ4RHsoaK9JhA88KBb49hNeP/5ZPv7gEc/+6Ud88NpN/Lzlq1ff4f/w5mfJqhwbMuz7c5btkicXM2Zf62nLHv+LLf/md79NrwLZfslf/y/+NlWj4H4P91KE7yWYJOtWEpbHcLXCffKIf/TfL/jw0lBnOcvfvmJ8a8SLf+0Ov/87T5m/e8rT3/kEIQSvHu/wN37qBe6/PUMEwRe/+Dr/4Juf0NSag/6YZ9kM6CkKaB93lCPPT33O8PajR9ysJP/Jr1b8Df0m5+cZv/7kjLf7BzzJG56+HPhzh5/haO8AkITTYYFEwWkVA5/KRjBl6WM2rCqt9rsmBlWSKL0pSbKrPGXVGgZBn3yAJqA1mp698AFNnuFlwXHbcnYT5juKl6g4O/PYlacsL55vufvnyNJTuBzTHOBXBeRPWWYBdMDf6pBtQDeBSQ2h2kWOKvKrD3BZhtea7IHH5Tkmz+AhTExNaReclwXe7qLchMJ3XBnByljenL1AV5a0U013InELHcGo9xNzbNTDWYjzBpWDayMAUAcQo8himBA/v3Jw5mDaRVbETMcyHVnYtfCwZkiuQ5Xmqk5EMLBzkU5TmSj97IrEAiKe6yjt24gITrkQB49lkk5KHwPwjPjOulCJhdVEFrKTG4VenoCZZ32SvZnIfPFiM3fMiBnPFiHO4TIZzw9w6qPBMwKeiphpTRI9gsji9bWAvZR9eJnuNw8xm+PTEK+/nwaMPsDjBRyECFY1Ek4UtBJGPnoECQFLFbMPKhkzW5KkfFrG9igcXEu6fafhUQbTPsoWL31k2/gQzzm03yJE+VXv4312Gs5F9B2a+Pj9tzMoH0HxMAJbWRF9RMcrumdLFmTIM4O78phW8uCm5qhtubbqKMWr3GzOuW4XPOMJELHrus7oMsMqb6neNVRhwkjscuJrjoLlSwK+egijTnH3oeZJJul2HG7P8dXxHiJUHC4cr9+4QV53cH4FN/bBScIHnvf//jt88M49vvXeO5xf6+m8xjQlv7Ns0ddybrx5wP4HAnVU4H56jPlHB9TznKvvGdz3MjhImaevZbGdzdl4nJocTpapLZWw0NFzSSa2jlewW4FuYhtc7IFeRLCoIc5dtYztcpLFOlklGaYCRnXMQIeICRb3e7hGrLOWCOCuyshalB6epKyJk9S3ahGvOyHq/y+Ibe3AxrFKESWkqwKuytgfxg5GVxE8MBoOElPPidhuViL2ofMRHDRw2Mf599xHaZ8VUcY7DtEHrXXx2p0nZq9M7bQIsW/NJEwlTAUsR5EB6W28t8rEZ5tMQJaR7bdaxX7fyfgcvgCzEwG5OkkUxxr2AmHfctnMaNoG5QXhk2Oc6umqJWGe4ZSnHznkXosuDapwmI9eJtgWOAUEclFTLhtetDmtCpxkBlzG1HuO5VPen0xolQXOGB0KRsIy6VoePrmB854iX3CrcFR+RWVn+C7D35lw/J9aupMx9kHLjb6nFjlDrri96wYaydX9gtPpMYwCZn7Kf/X1T/j2hWW8c4efe/2Yg0LB4gQCWC+5MiMKr9DBkvMMb3dwOqdtFbZzeOtwszHddInYC+ybHVZmhbcG3QsubYl1kv26Y9lYbCcpm4ylnhIKQXa3wduA6wLtpWAuPS0CTg9xYoGatLSVQD0xiJmhU2BdRkBi+8jUksbRn0N/XBFGOeojw/xmoD4I5MskFVSKwDFKtmS6pe08pg1R2Z2PkcohMoccOfrjEntYkc8DdqfD9Zb8wxy/b+hfb37oPOnHBqWGlX3vPZ0xnMxX9NZirMP5wCjT7E/G/PzPfpk8yzAeXr95nfnVOf38kkxKqizjYDLhzv6Yy2XLVdfw/YfnvLQ35aXpiGDsFvASEFKgpEAUFaqsyMucN24eIs4WfHy15HAyRolA27e4xqCVZH9ccblquGo63nl2jvWecZ5xOC55cLmgM9GTxlq/NmWtCh0JOT6QKckkL7i5u0NjA/PG0hqHkBIt4rvHec+86fju4xPePblA64zbO3vItomDQG+i7M5H2h3CRznic6bl6SW8LUkDpA6gy8hv0SVSqhjeBdaQzw9jSf1Rq/Z/2qv5a7bS1uUdW3IIJEJmCF0hVbVmCoW1AbEgauoFAZn+ZhMHBNbowjqEGIL2MMgjU4yeAJiwBaY897RJqrTOhPgcWLUd9ooNojGEQ2ET+Ivn9t/8GhhsmxBGbCKmdQFJhigphE1wFuP6AXJI2e0AIWRiMAzdYtgnRMCBDYskAKHbuicfabubY4di2AAMa9JdAhCGc4qtpwjDM4ew1ewCQ3a02IWGJ/5Ucvrt8w3PuCWbGtq+zktEnnN2eclp67hoekImMDaGst57ZMrKuM3oiIHoGvlKgesW6LYp4U3QywbUUFKSa4WQgpUxPJ0tcQe7CC2Q05KnT055dHLJuw+f8m/uP+Le1Twy8V1sJzrLuHF4gA+BRdtwWXfgLK2PcM9kPOalF1/EFiW91oyyyKgUa5QoAqwiBdVr5t/QzcPG9tkPTxkGgCK1L8RGtrTdINnst75cOsSJtAC41S78FtQiBtArJJbd0JTZBPAxQ9nmOn6rXDdh/aYdBCQybFhXa1BpAKG2zgfgwvqJN91IbPpLCNHknPW4CEOutO12HOV+ydI8MQcJAr9uNwIZYbet/5KvFIoKSYHA4WMCh63r/VHbjyqn/nE2IUQEP6VESsH55Tn1akGhFdY7hix3P8p5rHOczK74V2+9xZ2XbnMnj9kknfNrueTgzTX0t0+PqYHhfbINHKXxK2zttP2nGOqaNVAW29SWgC9lxQtD5aaD18BRuokgN/cWEuXVD6+j4YfNu/HTzCk/fBeGV0f6e412D+3cP8fK/JNs+vpBBDtPFcEbWtlxoWvent2j72bUew57vuRIjLh7cMBrX/hzVLs5NhcUL99CXZxxNJ/jfY4LGULnHBdTrqhZhJbLP5jh9yfsHI6iVGuwpBEheqpMoiejX0mcF/zcL9yi+uic774z46dfvY0o4fzxivdKy7is+OXimN87P+HRxYp//c4Tru8pjkYF1/dKJh9Ymr7jVJyT9w0ZNoJ37ZjgPbldIW9UZDsl0xdywpOKpum5NJdMzg1iFJjtgn16Tr1seTSZ8IX7x2BHcGMKeRNX8K+yKCHxITJOch9BqUZF5o4kggmDvF+J5OdCZArkie3b9XHeJQRdpsGPkF6y0B7XQkBxOt7FhRalOrq9jr25omoAHOdXOXWeYUdjgjQIX1PN+tg3fKDrPXmmyZVkdRXoCoMrPC7X0X7aGlYBMpejGNFlHic6ahU9BJVsEESmtNE9Rhku82scUrPTzSncIcopCAXs+jiIWxEH72H+GCTrhb0uTVILkUyRA2uHWqujnM+byA7qddTMmJAkeludViaPTD9IIQMEl+aqqedeDR04ASuZj+DKSgA6ZoyTiTHSZ6z92F1aDJMiMkIu5cauqU7flToyMHpinR/YyKTKRfQbG2RSdWKBYGJQHYAdl9qCAptD6BN7RcE8xPIaFRHgaEK8PxFAeGh9nDsNWW6XeQQUGhd/mxBZKL2GoCOakxEBkDiriOCqthHA6hU80xHw0z4+/1LCXEPINgt7jYzPFAJUfQTFeh8ZcEVip6Ai+NqkN2ifssuNdQQJgoSHDnMpaYyNASOayk24OssZjxx+z2PqE1y7woVAnWm0h8wHxG5HrhUTlTFvjwgSnGqp7RGXoxamNYe1gM6zchaf5ez1JUfzikPtEM5zdql5Ve7AnoKXDuDeUy7OZjx8esHbH1xyetHSKk87czHBRgi8+aXbUBa0JuPt5QIrWrLHS47DDV6cVuzdGaGOK5jmsb7yLJbZWEDfx7orE2gqQmyDyyKWpRxeIAFsGxuZSayonZQIorER+AtENuEqyQBHMiksiA3XhPWcDZskb9JEYFMOb7M0r913MaNdK2PWwaEvBh33LYg/fVqw98T7EiJ6QSGiZFClfpKJCFDa4fw+MeVEWoDWsV1lJvZxFGCxXXyXZ2WDcETgKPMEl56Fdj2/Z1+mOEIjTBbXyjMPKxf7r85SW0/9ydgold5V0I8iQLivIpBlElilPZgCmhHWV1yKjHtK4Vyeri8QjPF5RzeZc2oL3CqQNQHEAm8C9nyMaUGUBjntsL3DFgF74NGXmt4LLrRir+/oRp7VHoS6wxqJ7aaESSC3lv3WUF8LSJFz3O9x/8M5YmW5fMEgG0WmFRcHhk5ZrJe4JwXhsE/zbkG7bBHekfU9rdjh3qnl//O199i9vs/d6yVikiHPo1TUZS11XxKcxwoXLU58QBpH5xReSMRohTEB1Qq62tMQ6BW0+wKjCoSRNFdLWiUIWlJITRCRFd4aiSfDK485WmK1wYtAETq6DBAKcWowPhBGJGZbT1pZZnVosAREr/AhgzanPp7RFxLXCewyjUfOY25CKAJogbzcRZYWmVsIkUjkatBtHrNMmja2KQ0y00jd4NoCezGkpfxj5kk/dI+0bU+w45wy0tculvXaY8P7gJaSSVHwmbuvcuNgh0mZsVeVPPE9p3mOloJMKQqdcXN3Qm8dzy5XvH3/FOUkL+3srae2axlOoioaoQk6o6gqXj3eZ9E7PjqbMS1zhAgY1+NDoMozbuxOWHaGujPM2wUH04ppygooBLgQ8NbFbIEpWM4zTSDQ9QYtFWWm2SlLruqW81VHYyIHSMkYVHnvWbYd752c8uHZJXvTHW4eXScYtwafY5DliT5GScY0pCSNoxnrrG0bbVIc07ISIQIiK1MgtbX9KQQ7f5beUj5szHGFlASV43VJUCVC+C1QCDb6M/H8zzqoEVGptgV6hO2ow4sN08kPkMSWDGT9wOl/gc3kbfhMsBV0ha37GY7ZyEjW10p/bMKq4fM4xD4HICV21xD+xs8GUGoTDG0He8PhAoXzyUfFhzVjbpshEAPIdDfOb4SLyV8mFdOmKALrfrtpBwIxpFtOdyrWBsIx0hOw8dzaer5NdUXQau35IyKols7+HGNFyMFwWoDMUGVFKHIuTmdc9p6rtqdAYr3fBLBh3Rw2fjDrNrPVXjYVsb7/5wApsQmcpZBkWoEItH3P2XyJ3ZngS43J4JO3P+Stjx7wm2+/x8eXl6ysxSmBcBKlFGVZsb+7Q2ssi76ndhbnPbXp2S1KqrLk8OCARYC5D4yKHDGkcEvEslhzfn3bQ7tARHaVS7CjW7NdxFpWFJKx9xq4GgDPVBwDoEkYgvD0/CGCRy61m1h0w0k3QNBQwYMI02/V+3C+4Qw+yYx92HYDSgDRdvtOx3ixuUbYvnTa0Q31PjxPavxDDQ9vCsTQHcUaoBxYc8PJNjCTTOdIE7skh1Ri2GPwu9ocEYjjsw1hTQRYvw/5o7c/C2BqAKUAZrM5tZbkKoJJf+x7Yes7IQQuBOZ1zVsff8yzxYq9w5hZ1/qA95EJN4RYmxFuaH1pHEiT/VS9m/YShnHnuU/ZII6b8TSOZQOgGsfa5wDNBNjChsG1/Twu+NSe407bjK1heHdbY39Ii0LD9YavvN+MEMNtD6NG7CfbL5Mff1NHU+RZBmea4Gt6YVnJJc+uHqF2HdluIDxdsTue8NLOEUcv32X/uCKfCsT1a+hgmeYlVmQYFCYIDsoJvbdc0HD29UvkG5qdOwfRS7gLUQanA+QQRorQe5zwWCH5mZ85wkjDR9895+7ta/Rty+zDGRdFYL8q+PnpMd+eXXC6avjGquNXfn6Xw31NXsDYBy58z1VxyS3v0UTfsCDGeOvQi5r8RkmWT5CjEbMazhcdF2bBaOHBSa4mAf/sgma25NG1mtWTFbbYQ98tCGUTmQszjcj69PKSKfAjymbaFNgdhria62V6qaVAkT4GSANDIb0D21yTdzl4zbLo43WM4kpXjJxFS0M9dRQrwdRJwLGYa2pdEW5NkNkzZJiRn4d13gjTCLKpIis0FxpM1uPzFlnklL1jah0roch8Th5KgjZ0ytMrn8auFkWHROKUxWnPqhTs9w1lmJPhUUOqr6mLQW6rwPcRiBjkPCoBF42MgFWnk0fU0Fd1ZGKYlDqpU7BQcOS3GOcytngRIiiFTsGuAAxkDay5qz62tQFYCsTr77h4DZ9Fg27fxEB6lUVJoQwRLIJkPRAicGNIdg46BlClhkWbfJlUZF+M0vwsItLx2RqZ5E4hskMEcN3FQL8ntgnXxxtUKrJIArCfZHy9j+fIk99O56KcSogIYjVJR9V0sVwHqZTPY7vrDWvpaPAgiqR8cBHc6lRk0Oy0MEpysVrFOhwPTHURwQkb51q0NpaHDVDoKOfLXHzueRFBumkLroigW5WDEAQTCCcGMwu0XQclBKXIQ8HiImOVObqDnt48wSiHQdAoRT6whCctuSopRcaZ3MOKJVbNablFGCvsfsPxuaB1npmySJmx6wrutHscCIs2lvmVwLNDKAvCvqP/7fc5/fAx3//gPt9/rGnbhqAFmGjerLLAi6/fpO8zHn3c8dFyQW1aqvuX/CrXuTZRlMcZdgxmJMhyFX1JQ4gMIJvmo5kHnUeWUtVGOdkwBxABhIkBcwgbUDdLbLqFI3Tx75BbaOP8lAMRFQhGEJyOYEvwDFnz4ry2j7aeWXyxhC417V2Hf6SglohR7DMiQDCKkDtC7hFaEFYSUQtkL/AJBBJVN+BFCC0JBQQZkjdZQCgfx4LBwFTaKHdtNaLoU0KLgiBmdEZinUCqBnwFMiMoF+ecNmalG3TsYaIjyFtHgFNkEiqJuLTQFQRVILSJiQIyE9vjFJgoaEpEIWFCFEuYOE8WwSNsDt0IS8lcZjyWCiEUUgpQIOWIoB22dFzOx2Q2UDqDVwswGbKusEIgpYexxZwZTCZwuwI1U3RS0gvBTdtT4DEjgT+32CbH9BXcsGSqZ7qyXIwdMsuQ7YQHDy7oli0XIUd0oLTk6ijiwX4u4VGOG9uotAjQNTXKOQrv8DLjYuX5nXsP+LXuZ9nRGSLLUac9yjqKymCxGB9YeVDOIvHkJgJaXkJezLBNga8VpvZ0GTSVwI4FuddktaS9cNhdRcjBG4kPHo+nM+CFJgiH2VnG+MBJlO/pdcA6SXnlcaXHF4FslEPm4jx/IWknnia35HONaDJEJ6mvC0wvCZ3A1nnMUK8C3bUQbbKdoJJjyA1C9sj6Cl8LXKtQvSYsAhiDr3rEKEfmGWQ13pXY5eiHzpN+LKZUeI4lEcdQrcSasSKl4LKpmT9s+c//3v+bv/Dm6/zqlz7P3/j5L3C2crz10WM6L3j36Rn/1Ve+lRZAxuSTnEcXV7y4u4OQVdQqDjIWrVn1hsvFivfvPcV6g1B7tN3HOGvJlORb959QZprdqkAqSZnnTEdjgrtME3WYNS3zuuXDk0ukEkgJznr+/BuvslPliNDzvUfPqHvDuMhpesejqwWnixWr1hCCR2uBMT6+u4GDSYYUgVXd8Wg2Z//iglGVMzs5ZyQVP/vSi9Gjx1lQW55BgyfSmh3F5m+tCELQCk85mhAkmOUcq9RzIpgY6/3pBjt/eluMLMMQDKiMhRjxkF0a0TGRnh1gItwQnW5YB4I4yIW08rlOsRTP6ULM2qURSeW3FSiIACpJt54zpw1bcfYmmHZAT0wxrsV2ccbrDIwSvxXQPBf4pxX2CJb49aX8liRk/RMCMoFSaguYUVu+UT6ENQATjbwFvQ+c94ZMSTIBFWJtiQUCP8AVYfBSCYn9sSmSgXkWElizCfY29bWWK6VjhEhCwjAU2Qb6UWyarA4BKUJaxEkePcP325DAIJ2SGx8foVIQoSReS2QhMTpwdnrC5XzG0vQIpTHOJ6+cyAayztFbi1vDDol5R2LabbfD52C+raaS6qHIFZmUyCDojaFuW+aLJTMHpw+e8e5Xv8b/87/9lzyeL7iwFq8EznuMsdy8fsz+/h7H14746vff5XKxZNk0aBnbfuccslI8Prvkv/6Xv8UnDx7yC69/hr/7qz9HPV/gggUR8FIRQgQCLD554yS/U6KEaWCsOJJ0LoAPnhAUgYAj4PxmfuL9BhQIxH0QkW22nYBvu6QC0Rj9uUJKfU9IlYL557MdrluTEEihSEKvdR8ZvkvNlU3P2AAGrL9Twx9btSY3+w4gf2p7w42obeYUAhk2/WuY7K8z7iFQQW68pFJfi3yoQeon18coUptNUuNLC/UAfItPPcMfsv1ZeEwNZt7OObRSlHnF3u4O51czrN1u83/EPW39PR1VfO7uXY4P9xiNCtquWxNVcWLThwfdaNiMqn/4s20hiuthZgAkU737dTjLBpwaFhHCp8+SrpmODZsy90M2vWEMHr4Pa7w3tlm/YZlGo3TWzCeXyvK5gxmYvmwB/gPI+iffevkQyw7eTwlhQTE17OxKVldQXQSm54H5yz3v1k95+Mkl/GbNL714h1+59Rn2D1/i2YXhnXcf8KiXvHt6xVfefhuzKnBVjhxNOX22oLw85IWnRyDrOKtuBBz3sKzhWw2zB1d44QmFwC8XtH3LaVHy937vHSq9x27+WcT5u2Q3M+TdAPdArxxl1/Eb77Rod8704gRrd2mzgjo/4a/+8p/n1ngMneP/0V2wsnNeNJIbb1nC2xf8q994l4fdmIXP6Tji7JrDBot7r+Ew68md45tfN7x255S2V3xuWeI/vAAvkXduRkCg82AaMFVkC+yL5I0UYuDpdAwyawfHOZQiZlPbK+ILK6+g0AQZaKctfuURfUnX3iIUPdp1XHvwUWSlSkFxv+AywGUBUKD7JfssGY08xXmPWAielCWBSBa49kziZj1GtzT1QZx/ZJZ2p6WfC4xRzMQtLoNFhY7bzTk+0/S5otltCLMSWZfc1sdQxiyoB86wuG34/q3Af1jqaCKsJrCIQRxTAfMy+iCNiLI0ZaOkbKrgagyPS9g5I/qUVLEMlYAyASgrHwPQR+MEXnq4qGLmr7yODbfzEYy5lQCYVRVlSV4BGso6gkGFTKnkXQTLShED2zMB5jB1pp5oqB4iaHOQRRDqSRvruQiw18NJ8gzzLmXtjY/AIo8gWqgi0FW4KNFrishgMURwzAEf55GpUvrI5lgVERw615AvY8f+uIzAlHRw2UYzbg0InRg0KgJ7aTrKqIgyPedhuYwZ9zIBYx/LoldwaSPwlElYTONx4xDBjFrCLIvg0jSHQxVNoYss7m/7yExDRmZVUcRMx97AmY5Aw22bMk0G2CfKsboe+gaKHUJRcRU+YXn6CfWH71O/+Qqr6QXLm6esPrnFh88ueXp+gbgraEpF22r225blccmz6xWTJy29k9zXGpBk1pG7mu6VM8SoROQvcBIewD7IW5KXZoZ2x/Cta4YbJ1dIaRGlBXeEeeeE1T//Cr/xG/+M05MZF+eGR4XFmUDWwd2/fZeDawdcGx/xf357xcnDU9wHH/FZZ+iWliffc8w/d8pH1YL5V5/x7KzmM196iT/3d/4cfL+G0MF+DaNpBGuWnpje2EbZXUheUycFTGys88U4Ale5hYOrCErZQOjBZB6jJW1RUowVGkfROeqnBf1K0ViBuGFAWORTCzcylJZMngVmBwWdlohZR2NahHIcKM1Fu8C0islsn2JfoRS4U8Ps5oxeduiHEjsGOZVc6yrmmaMHdi+nNF2NDY6qGtO6mh5HOzmgMEuyrkFdeXwvozpifoEsdlCqonrsEHlHyCx1H2h3Wkzp2DuXmP0Gs29wlzlkPaLoKc6OoOyg6qg/lFSFoqgkl3sX5JSUpmBSelpV06oVRT5C5xlaV3QXAdVLsk7A2QK1V6CqnNUjQaYFxa5kZ3+CmFoon9GMVvRZBHnuhAsW456z4w4+lug2R59VtO0Oha+Zijmn16DqGm70Sx5ff5m8h50PZ6xcwDpF8XFOqwVSRzXs/HpkOubfhYW4DqHDh8dMn8Y5yGUA9bBkHjy/052yf/cT7pib/MrZL/H/na5YhoZDVdCtrhOcoxydszpPUIkIqDsNGE334AZZUXPztuSv/e0Xef2Lgf09w8UlhBtT+l4x9wpdnaK6hukzsDsKlxU07GCuO7Qy7Naa5XKEcxndNXA7OQJL/rCm3OvQ44C7FMgi4MaWp4crwmOH7D155bDnE2ytqUWgKDOKLOOqKhidtOQrz7zIUY1BNAE7meKkizh6uY9vGnRtYJrjV47QeKy/hgourv+OdiA3hLzHyiv0U4G+yAnVnPlkTDeesmOXiKxCTgpcuMBe38UcTnAXAiU00mUsR5puP6M//OFzqB8LlBqUDkIMgXhcXR6YFUoKtIpSGGwLtkP6qKNurONsVWOc5WrV8OD8ii/dvUPwgbbteHky4tbRIVYIUDoaOgNCZ8zmK957/JQPZnMumoaz5YKZhaKsuH2ww8pa9kYVLx3u87WPH7BoWj46OacoMvIimrfN6xrnI03Qe8i1Yjwesz8ZUSjBfLGiNS5K9ARY75HJc8QHz6goeeWFG3zpjVcgOD788EOenF/gnWV3XNEFeDpf0DQzQuO4NtnhTZkjlSQIh3cuBmw+EP1fYpkJKaIhspJInQGOy9WCf/72t5nuTZGZ5Kq5YF6vImj1XED3R6/Cf/rzH8aK+olX9NOx2wvjPgR8MtOt0VyKkqeuovCWcfBMRFzp8j5QqAGwgExIdAoS/VZQ2ljPwnnm1jPVkh0l2VOxfoYVCMeGMbJhlUCRTNeVEBigDYGF9zilyZRkrBR5SHyaENb2BxDBkHUAM5iEe7dJPR5YBzc+eNzAEhjuXAx+RhFMMOka1gVW1jI3Uea1m2mmWqOEwLrA3FouesN3rxZMMs1+nvHF3QmVihCS8xE4Wwf6aaVDpKAcNowSiMH3tqYmwHPG0Ov6S83AJ1rK+vvU1b3YBKuDsbIg0It4tTgkbK6/zmyWAn4ho4RKShUnyEqCUuQ6xyrJRdOz6i3W+0jtJhlnh0CpFWWWUZYZdW+o+/452CmCE2HzfAxBbliLsYb2KoRAiwiFEALGWjprqa3lG1/5JlenJ3z3rW9z1nbRbiBlwNRKUWWaPNMsm5bzew+5XCzp+h65iaQRQtAYE+VQ0nHj+Ji9oyNmZMzJYmY8EfDCpaBXJogxtt2BHeWDTKntSayoxH7ywzgg1ky5yKb7FPsp1j6ELa+fdX8Nqa6H8tsaA7YahvCboNxvfekJqe+HOGYnIGt9LpGuvT5kC4XabiUhbECKkMaoLRB5fWiI9y627m3TNuM5PYP4blPPTmx9xsASFIkoJRLzacMeXPeq9CyDzHFpPZ0PA077x25/Vqbn2xnxjOnpe0nfdz/8mn8I02dUjXj91VcZTaegNX3dMJh7+xBlinFdII5/BDbsxtTGWQNFYc2I22bPbWSo6bMEIvnNgawNzdO111tCT9ffrY8XGzZu8FvHbzEow5B1L6yfIfYzv65b58L6+mtgirTfGggO6/72k2zVM49vO2wmkH2Ns4F5k8X2rnOkKJEXFeN9y+GLjvEzTTkVFLdiwGssNE2Hyhx95rnQ8OK1MU52tMrzwudvsX94AHkbZUOFT8GyYrnouXh4zuV5R+s8jfD0Muf4YJdf+mVN/5FjZzzl1ksV//Bdz6ld8Affuc+0eoHpVLEzDrz99ENcDdgJxWhFdeg4/syEwzsZlZPUDzp4vKRuGz52iqvJHKFyVpfXqd0lu9ckP/dLL3Ln7l1853j49geU37uPEoH91/aRhxmXsuOdB58gnnZU+Zg7d3V8DilAjGIjskSWjQkRtFg00Sdmd5DEaJrFgo//zdfRe0fIPEf4GeZqRdlLXJuR9w7hG+z+GVXj0MbRaYW1KrI3xyYmSHNwvBIsRoE+F+ydSrpe0ZPT212UalGqJ9sPNF1B3Qn2xyuy2iCM4LLXtAF8JtGhJuARIVpBBC3JSkkjQGlPlltyf06tPXUe0PNA2fURU6kDzmt8XjJTDaa3uNpzXYxiAriFR45BeL0l2wkxEM+zyPoxFq4ECy+5CpKiV4xGgsmBgMeadWfvs8i4ChLaUQSNnIuAiheRzTPNiLYAklAFyEVcEadPoI6MUrYJSf5UpvT1RWR0iGS2XqU+3gkYpQxeVyFlvB0GnzLu0w6JVCAIC0Wg957FiaFZrAhBUFQl+/sleQbIhvlZz5UKfLyr2HWaXQsvW4vIiWDSKAEY3kdG1JBkR4s4cDkiC0qFJDuUyTMrRGkkIt5zJyOgpklG20SJYbCssyngk9l0OscqSSdHCcyrbWxwUiWG32DI3a/7MUYllpuI1/ISJgL2ZAQJRyVeFDxaLjmpFfNun9FKsWp3MTbj+uEV1Z5gun9Mpq5z0p9xak64nkmQgVmwsC+ZrDL25iXPgsAETQglO+cNO51ld9TRCpAotFNUuYO6w35yyX3Zku3kHF2v+OSf/wH+5Anzb7/Fpe7o9iK7x+AodcXN/IBqOmJ52fD0m+8xP7V0i5rgHWdTC71HLODpeYNfwL7S3PjcMUejYxAxYxi1JDzLCG2UsQkjIHd4BN7k6FLje+hrT583BDwKjeosPjiMdYxSgp3eGbK+AilZmZraxdmidJo8GGRuKMYSqwRGaJZ7nuB7RCdYKY9bxndL33cIHRPdrGZ59BYuAgu3opUZSgu45kFkqFrRdAE/iYSEiyajcx2eyKxxVeQrhwWELDJFs8whp5LgcnprUS2IDurRBIlCeo8JGlEpxEgiaxNzt5DRFjkuOEJjKbTDenB9jlM9Ojikl4x2CrR2SG2pZhnkAZP3zKcaSSDH08sojZUtUClUEOQLT4bEWY9ZedAehaM0FhFa6AKhC/RnOW6pCCJwUdV0LiOcHaDFgiy0FH3Pbpjh0XThiJ3lBYXzaAL7S4dRgeWuYncmMEiMg2vOYorA8gCWLoAtCGGHcKixumcZYHJWETy0mcHseKzo8b2lmBtsabh/aGi/OyUsDbJuyMKCYCTGaEY7bVRmLnL6C0FQEA6WONFTVGPerA45UGMKX2A7i5YNIhMIN8IuHc4E/K7CZhofNK7V+FGNx3JpRzhvCM5gejDznOAlYu4xpcHkAjfWyDzOUfRpj+0l3kvmc0XIMsJU47odet8hjMEXmm5iEXnAdXuEYolwHfKiw+9pQilR4hJ6g+h8lO85SchALRc4uUdghF4uCFW0R+mDi/GNkvjRBK2jK2wzDoSQg58wYobPHKHtCbrAeY3ziuX+IWiJXG6TBv7w7cf3lGIdgxDSpHT4LNOSIs8Y5xmTXDHKJIUSLOqWs0XNs0WN9Z7OWuZtz429PbSQdE3HT928xuGowiARSq+9eZTKWDnPk8WCJ/MZH59d8vajZxzu74POORiP0H3P4WTM7cM9vnXvEZdNw6xpuXlwQJlptJLUXctgEGusJ89ybh4esDMaIbxj5sHaQG8cgYBSCiElSmukNIzKgpdv3OQ/+Pd+kUIGfn8s+Vdff5urZU1VlSw6w+PZnCf9jP1ql2I0pZEFSmcEH1cGffDEzAcwBO9KyBjsCoEQGZnSXLgFv/XBh4xGOXkuyOSKRbOKAdYPiYR+nEBoyOL0p7E9f57BhyRKK4wPtCgWouBJKBBWknnLGBGDbR8YZxE0kkJQCUEu4jvdEoPbgODCGC5M4KyPi1vHmeSW0DhnUzga6JOMyQWwYpB2wVQqMiHJpYxzI++5EAGnNLlSTLRmFBzCe7xzVEKgRED6QCZllHoLjxYeGTw6OJwbVtkHhlMM3FzycIKhj0SXHeMFfQisvMc6T2MdJ23H07pFCrg1KrlVCXKpaKzjWdvzuGn5ysWc3SzjharkxnjM9UJQSIETaaJCYMi4EkIEEAZWmPCsQRoxdNSQ6ij+eh5AG/bb4ips4YzrdiOTnGnI0iW2wLFhXFifRUYeSmSrxAyLUqTsdEohdJTBoQq8Ely2hpWx2ODXfgOCKJ+JKewLMqUQq5qm75/L4rYNevh1sBs3GRKzSsZ2JqVcL4ACGO/onaOxlm9//W1OT5/x9vvvU+scpyQimT5rJRkX0Zx8tlpx//wKY2OKVC03IlMpoDWGoAJFpnjh5nUOjq6xCIo5OrL0CTgh8MJHdgYyfeY2AXXwESAcAKR1Nr1tQGCNSSYQZQCfhkoeaud5sCeeL8njUlsYslBuw0c/AGIOMfyAzgwvBYZ2P4xFYquEhzvYWt1AJBXtILjd+Gb9gGdTYMCvtm8s3ZnY/ui5z9Ljx/hBDM5pydcqyQ0HNtfwTMNj+dSuI4sRGu/pfWDN3vl3xFbdgFKGXkqatk2f/fD7WddSCOR5zo3rN8jLiiAVZs08AutDYmUGvAeTKJpKxmwuDKBeOtcAOK2vEYhj0qcuPIyZHtb6z9hu/ZrhtN3INpK+sCbOBuJixiBUHrIExuM34/K6TwRSP4rnGSStbgtoCmG4l23gLALvWySqP/GWn0GvDVkWyEyLN5plk+MV+EzjdIlc7FDebNh7qWZ/MWLaleSZom96VsuW2aIhH0nESNMUGQd7E5zPWAa489k7FKUG2SbWjIvMmauMtg+c1R2XbcN53fNo2bK7L6mqip/6nKa97NndL7j92cA/OXPMH9V85/srDl99nZ1rexzeyvjwyTNaY1BqjK4u2TmU3H7zkN1rBflCsrKO/EmNW3TcE4LwaoPczWi7W9BdceMa/Pwv7/FXv/gldC/49jXJt88vWXUd5d0xfRE4axvmqyuKuuBAVdzJdPRrUSKaeXcpe5VPnlnegeuxBxm+zAjjgBYZ/XzOve9+gBqvkGWJrC7o5zWZlei2QJsWKXv05Iqq9+hecJWXtC7HC8GojKxDYWAnCFaVxOYa8UjSFIqVCth+hBCWoHrkxNObgtZpjqan5LVEXCmWhaYTIqroQgNE8L410YYly0AEQaYCZW7Q/YpeBeYKyiZQNopRW9A34IImFAULqVgZQ19bdiYaWQeYB/QeECIoJVwgTAXsORAZWE+wBhaKmZE87hVVq9m/GdAviCjP8z4OZzb+DRliOY5/ix5fO0AhbI7Y1xGcDpK+8ASlQBdIFwhB4+0Y7VpC5gmT9A6oBZChhUNiUa6LwIL3hErEDHyNQD7RcCQjaysIII99vTVxuJAeco/VUPeBk8ue+azGoxjvV2R7OSMdcLrm4tTyWDh+b6p50XtesJ5b1kaWvRKoUSoXHxBFjvBJuaAE+OTTaPuY1E4JkCoWTQiITMQ07l5EUCmDoEJkV6kEGmEQrYj5joRHaAkoQk8EsoxCTASi6wmNhzwQcpH2i5JDIWwE6STJCLKKg5H0EEwE8yY6sshGJV5lnHQNZ51i1u2wt1SIeorrRxxO77N/Z4/Dl66RPXsFf+aYuyccFppagPYWNRVMGsV0pTkLUeprfc70csW+sRy6lrkWKBRZqzFKoGtDednxJO/YUQfUouLBV75Nd/GIy3vvM7up8bsKWUl8J8irisPDI0yQnD254P2vfEyT50TOvmRWBZQMyFpwet5TqBydaW5NjjmaHhE9kSIwymVBsKvUfiVBQ5AS53NkqXF4ullLbS1BODICqvc462k7jwqR7d/i0UYRgqB3PYbo+eNMzoFsKEtHVgmcyghCUU8VoTEEExCZoqgDwnoabSizEiEzVnXOaARSO+Z2Ti8CUirUniOvM1QX7Sm80AQpuXIChCOmiwpkZUCLACcglIxYr/TIUWSV216gehFViZMKYeKCeS8UMleokWDkLUpmhJDRlwXCd8jWkVcdoSvwNsPLHhAoLyl2ohyMYCnPKkywmNzQViPGHkoXaIPBGUdoPeIwQ1mP7gKlCnTe07cemQVy4yk6i/cB0UnowV1pfCNBBK6yFvoctZiSVWdktOjOsJctWYVdlm6Po/oKjU82W4bl2LPYURwtYyI0hWDPeuoqMJsG3GkAkxPkbmLUBnokalbhTYh2iyNDSP5n2WNNP4FPqpa+HSNmLTBHF0ts0LQmj9Z6XkSj+SuPH1m4ucS1oDLBdbXLyFVok+PaBq3aKIV1GX0X1VX9rsJ5STAy9n1ncMowc3tosQDZYy1IoxBWIjpP3zm8lPSjHJ1ZtHeUVxYvcqyQrFYZck8jtEaYMcY5gu8JztGPPKECdznBK4OwlmzRE0YaXwhEuEwSb4loKkKZEXKBrDtMkWPllKx5ilMlNs9wwUV7Di3xozFKOqQzXJUSTw6hROUZogvQGnyWx4ULNM1kSt4IisUPnyf9mPK99NuRpEcklgoxLiHD9w7n4LVf+hw/9bk3ePkzL/Gf/1//Pm99fJ/vP3rC3v4en3/jNf76n//z3Lx1gxf2d3nxYB+zWND1PRedARUzY8gAUimO7r7O//jNz/Mvvv41zt76Dp98513uLVb01tG0PVoLHl/NeffpKVIIJqOS3hqs87RYMkvUUCaiUSBwfO0af/Ov/CVWl1cUAn72jdc5/Wf/kvun5yw6w83rR4zHI6qi4MHDxxjveffRUx5fdHzxjc/wv/lf/29Rf+/v8XtvfZd/9c49vvvwjFdfuMn/4n/0N/mbP/cLXN/Zobm4oO8tzjqM6gneryfEbfB4ISiKim+99zb3T5/y/skpv/bX/gOu3/08f/HvlPybr32FT54+QDrPysUg2gX3PELwx9bXnw7g9ONuQgwyokCPZ9X3mAA6y8mKklWAqz7woI+rcRF9l2ghUTJJ2ggEEZH8zjla66l7k9hPgU9WBulbZPB4n5hSgPHRGF9Lyd6oREsVy833KBH9zPIspyxKRpMRT85OOLu64tHZKW3T0vU9dddSIBA+Ri3jUUlRllSTHV67dYNro4JbZQnB4J3DeEuOolCCSaGirMRHEEUIaIzl6XLFW+cXnLcds76nT6BL7+NqH0JQSMU01wgErXP0A2tAwKkxXFjHvY96fuH6AS9OKq6VBY11mEiLodIyMn9kwLhBBhZhjsjWIrV/sa6n9FXq29u+ZRu21SAJDIkGJNN3Q3Avts43wBAD805IQSZ12j8CEULKyAxUkW2UZYpcZ6hqTJCSp8ZyaQy1sWS5W2f87Ixj93DEKzeOWbYtq97gQ4hsze32l35LItgbg9ENw0cNWdZ+4AiB8ZZVV/NkoZn3HTbPqW3MsudDoAP6EGiM5fThY5yPfDKtNgDec/ciJeOy4s7BIQc7O4yrKPnQWZzUe+8jOOw9SkSZYgy+BTIBat575BD0e4/0Awtk8I+KQbNMAbUL0bMthIB3blMxARBybeszsKMGaspw79Yn2WAKxAWglHyujsOnynwA4qL3Uqr/LYho+H/YAqPWm9xqg+HTZbgBNbZr7DlcagBGGTCieJJ+WDAJySkqSfZcCIjEhJUkj6ZUXiL9SOHT9DhggycHkIIiU2gpI+FV/GB9/9vepFQY5zi7nNEZGxdeflSgTAiu5gt+8w++zu3bL3KjKLGIDWADODam50Gq58EkwnMkuD+sLNaSYngeLxMbFtJ6XhGer98BfBo+H0anKFf1G8aTACfF8/unfh+/DxsPNQ8BtZbFBrUNQMWckbBJLJBuloH995NsJ0nuBWBGIwprybuG81ck56rjQiwRb1xyUudcvVXxd//WbQ6/eAtx95B/8n//B/z+V9/lK3/wHtWv/VXuvnnAl27scDt/CX08ghcLZHEVO28HrCaR4dL3ICoOPn+TvV/9Wa7+8bf47976iP/bt7/Lcfcxfeu4WmTcaXrqUeDRJ4Fffloi+4JL0VPc+xh9toM62aWbFcykY379KZyO+fLiDv/z/Fdolz266LjzF5c8em/O9+eXfFOseOWnX+H29Wt8gTv8l9/tOJ0veeu/fsDn9p7y8puf5Vf+l/87suL/wu+99U3+T1/9Fp/5x4qfOr7B3/1Pf43X/6Mvs/vCBCFP4AMVDaYPPJwnaf91FbO4hQBHkvd+8xGn92cslhd8+X/6i+y//CJv/Np/yEeXD5jNrpD3C+YIlrmkbY/x2QVa9ejzfS7Lc/yoIV+CECW5U7x41nKOYKkC3ztuOZgdcXi2w8fBwJ5HTBrKx8/ou5y6q1jWF5B5ykyhLgUnfpeFGJFzSa+iH6pc7JDpJZmuMaMRxgFzKCnZzyzTUY87DLhZiXhUsisk4yeO7Erg/v0cP80Ro4JyvsNC5VwdGv55P6UMDePQsacUvsyweUn1dIfeCroOxLIhrGp8vaSZTgh5SahKvn7tKYUM7D4SmEKRYalkC9xABI2ygXKiEd4SbMtp8QClxkzEHlosGY9K9g/2+fjp9zibw5OFZ6f7mK6uuJzf4bXVEpfB2TQj7L+PzAry7A6vU3NLCV4tSliNMK6j6TsCNtpR7RCliS6DkwqODHWw3KsDF+0lbV7QHd/l3iJgadi90ZLvfRaPYp5f8UF/Reh7HsgV16dgRMY5I47aJWed45/LwFEz5cDnvObHXFmP9z2HvokyRC0i26mPGX4XpWHcluSr6OG16iQmBMpdQ55JtJLROH2lISiCFVGabz16oiE4vA4sAhReo5Rm2Tjk8Qo19kzOom9XqArqegRtQODITIMSOSpM4CKHgxb2LLRZlDB2wG0ia2g5jv5Z1zThyNG8WnL+3oLH5w+5Pn0DNbugujyjPnV8tqr48sEe7eFjzvZWLMqSYBw3EEwzTfuwx62u6JiTFznXvOPIOkw4IjQti37JR1+A4gJ2PhE8FbcobtZMf+6cycMOMe5pCs/itqIJOZcfV7z/3Z58L+PwzoiDviEEzYf9kt/+757iFi0T71nKEZXX3OokuyeWujKc3PbYx1BNd3n1s19g/zijyhu4OIemjaDmKwHZmmSqnSFqifISVY5YjWeYzNFdSQ7LG2jncVct58R5u6Jl1gSyTHC4O6K+VmMUjFWBmWV4E0C0tGSsrKZbtIwOPVoKDq7EWsGaL6HJWvqxJDvewS881jna25fM6ynKaKZlRb8MMVtayGluGsRxYOQq2kWPnTucE3CUQ66xXcNuPUb5jLaCOu/ohSGcl7CnkUVgsuxoO4EzgtHZgv5IY3cl9D1hVmKvNLMigoEyh+Bn6KBRIuNStwjdIwpH92xKGwJCOyp5gtMCpxS82FL4SFY1JzVtIbGFYOI15BaXLcmeldS7kotD0LJnqgI7UuA7SWYlwcAz4RkVMMk9WbGkHK0YTVtYlFS2ZUfcxxzeZumWnDanXNyaopYeffKEogvIlCX60bUnFD288DBwUUTfs1sU3DuocN5S3O+50Xb0ouWieEpnckbScj2D06LBpLlRdpLhlKPTHQ/sLcT9Cv7B+3jryZRmUUDetCihkKPA8vwFvM9BBNz0PmLaY/dG5PcCy6Xin3ZLyhPD9QKKq5JsZMAZeFbT7wf6QjHTmlLVZH1POTugRoNzTPpLLo4ctvDsKIsPhuAVnakYzzrkUmMObqPsKYGW+e0peqmQFsa5x6oV3gZ4WmF2b+HKjPyqJtgrgmgIB+f0uidIsDcl0jYI5+iNp9mV2D2YLp6xmEi6rGDy7HPIBnLR4o/HnI81yxJuE0Dt4rJ9FqpAmCiZ78ZjprRUYcaVu4bUgZAFHuUOHyTSKF55YpBORmbnD9l+TPme+AF2zSDlA8Hx/i5N01E3LY8XDd968ITzVcM3PrrH44srjPN0fc9HDx/yT53ld8uKu7du8YVXPsOvvvlZVFYSZI0dTHMCjEYjVrbn6vyS7z96wrxrefnWMZ+cXiClZG93iiRgrGPZdGuzcueg7roYeAjwKXD3ATKtWawWfPWttwjGkEnJR0XOZd3GrEoCnAv0ncEZG/00CLRtzf/wW7/NJ48fobK/xBe+/BeYHL9Al/0uD58+YlTm7Ex2uH9xwazr2a3GCOniKm4xwjmL9Y7aWlY+4IQkL0Z0ZUUj4P0Hn3Dz4SNem+zxys/+EieLOVJJPn7wCcYvYwAr/+iA49MsqTWo8Fx9fbr+/mxW+n0IyBAX2Xofg1ipFV4pgo4rcTLIuEMIMagQkWUuifJJ4y29tVgX2VbGb5a1A2nRSAjClgl8kBHgcUJSB1ApAPUhmvDnSlE7Q3+5YvnwIfcePGC+XHC1XOBcZD9Z76IvTQpUs1lkzOm84GR+ybW9Xe7euM6krAje0zQtwnlKpdjLc0qlI0DmPJ3pWfY9j+dLnvSG2jl6IfAq+gZoUtIYouG2kYNcMcrK1Ppp4xO2IfDRsuHSWA6KlmVvMN4TvGeSaaaZ5oVxyURrSimSnGxgDUR+yHDGIZRXYhMverEJ7hjKNS4aRiBCsJbBCTEYCA+AQGTyhQCds2sQIMtUkpMlaZWMnj5SyGQGqsgzjcw0XsRse8Z5jPNRFjmAaiLKbqtMc3rV01u7YbckICLeb/KvEgNrSa59t/AhybQESsi11FBuy7ucpXee1nla78gyTSSqwrxusBaE8NiBfvOHdKHhvL1zlKOSz772CrduXGc6ndI5R5Apdb1PDCERM8GF9LxewmDaH4SMAXYAPzCK1vKlWK4bdsfw7/TZgAGtm4HfqucAQRDUMCaEdXkNeQCG8gxySzK3+WPdloaGMnA5t2GngbU0tJH1/mtD+nRsGFh2cvvgrTJN19sCFDfJNwYPqQ1nSiq5/jy2ObFh633qcyGSrCIx+YJMDFYZPwtSEpSKjL4EbP273LbH7SgtC39YM1xvP5CZNe2ttWJvbwedZ1E2IodJg0eE1A7wcRVaiTWTaFs+ucm++If0BSEgeDY1vQFII2DkNx5WnwIkB4nw8HzW+yTxjuNP8DKBRWHTVwKJ9RbisyR0awOUh/XCxvbYEcRG9sf6czb9ik3ijj/pFoTAqYqgSvRqiZko/DTj6MpSjwLNruQvvHaH5bOe2YOex2VJXtec31vy6197j48fP+O0MIgPP+abq0c0jxXX2o94+c0bfO6X7/DmGz9DLgekw0SPICthR2FMT/1wwb2nNcoFfvXlCV97BHJHc/fuDrqWLNuaZnXJvRCogkRRcmouOVk13PMNjZohpEG3sCdL2nnDf/u1r+NcSV4pdg4lHxnNXGrKvufoZImm4nujltprCqlpVM8//se/z8vvnvFX/s4eL3zpi3x5d5e/vRTUkwuODw544eiQ5XyFyR3HRxPEkYkIaRnlYd46bBYwmcIHDeUxbnyGpeHptz7kvZ97mevlmBs//Ze5+s5v4vt7XO7kdOUTfGE52FXUywLbBcbMMLsGVwhYgtgPiDwgtMdfVQSjOBx1oFfUxhFcDnqEaEuEie3OE5j5XUKwCOGYK41VFk3DHoalD1H5djyLZrbtCK0btI2mt82hoAmeEDxNH5DKcDCGuclQPjA2GtNqvCsIesxiT2ObnqzpmVpQokRUGZ1f4m2BkxVXU4dEoBtYhEv6rMWOenZcRqd7FkWDEyCto+h6fOHplWUlHRNxHlVrwnO93cVLaCYW7TMyMoRWXNJxvuq4v1zy0TcecVlLLv0e1dxh/Zya71Gbkqy0yFDjTs7pihGr/YJTMeJmpTm/ZqkKiwwWnKTrM3IZ2B83ZCqmLTcTg+klcyv5cNqhix2C0rTZDLxAB4nkFq5osTisdMzDDg5oZIHNHLnx3DnryfWIpoCnqmGVl8y8IsyuWAaPVXB/AtXCUASY7Cp2dSDLBWVWobIqyuNETh4c2nu0lUifQ1Axarcxc5sYG6QIxOx7E5CRHVdKg7IC6RxVphBjiSgEXB9FI2wTyHfayNBy0ElFpgLkFnmkEJmO92B89JSapAn2kATgmoLJBFCEZ5aLRc4nYcK18hlCGmyuuHqm6XWF1lPOFg+ZuZa2NHzcKGjBnHlMq3Clxu5kTM8bSlESRiP2brQslppHF4ccXl2iVjkijCn9jKztUPPArWaHgx2Jzs4RlxWrS8/DpeQwL1EjR6haHn/QUAeDGVnMvMFZz1xr9mxL5QU5kjMhMFYiZh4rA3IPdl/XqM++gjgage1gx4KXiBTseudwzqInAoLCe0lmMvCBruoRWVwM9WNN0Qs0AT8RyKAQKnrHu95HxUzukQrwkrbPkKVCFKBKgQia0Ad6afElID2dAmEj39vWjkJolFZxrpcFEA7ZCvQovu+yUCByj1OWlYrvUCkFYS8j0wrpJRQ5hgorNIyv8LlGqRzVR/ZX6Dwmz8ALlPBkxHamQ0DtC3rpMcISeokQGcJkjBuFzzL6TFLUzZr9544DopSoQqFMT/BRmluFIr5rpQSXxXltDloblIiZI2dFh1SCEoGsMjKr0UZyNRkjMoXuJOWkJc91TA7kNa4rqZdTCI6eghkF1s0Jfcu0EYgTjbdx4akNHpcF6gpssw9CMt+HUbtEBMMMgS1tNH/3sFIaGTQ7tmS2MLhachH2cLIgV4JRF3CHC7rg8XXGkWqwwLmpOOQKISMI6TQ4lWPLXURokaLGlhYxslAIfAdZbymDZzSpGB9XFLpgufB4rQnaY48MQggKH9ixHinGiKCx0qCdAWlwU0dRjslQqKuOfpzhBRSzDqEEIoeqX+C1wsgxShbYImbxlJLIhJUBv98Q8hEojetrQuUJmcZr8f+n7s+abOnu807st6Yc9ljTqVN1pnceAQggSIAgCVKkKJKtod1ytOyIbt/YER6+gO0P4gvbF45wuN2O6I5QO2yx2y1KosimRIogQIIA3nk681Djrj3msCZfrNy76rwACYCURDtP1KlduXPnzlxTrv+znuf5Y0IPgiAoQaSThKoVuilRVsPiAp1bQhaJxRIvRVKG2EjWWvreMx0E8lxhvCKfnNOWEldocpGzpGIqagQRJR1SegqGKT6MkSUFBon6S2epafuJQanNpJ8rwQFr82FAwM5owCRG5ssVD86nTKuad+7e56Onx7TWIqWkrhvuPXnCw6ePWTWel++8wN3pgq+8+RY9rVhFgVRmMyHslT0uzle89/ARHz49YtG03DnY48HpBKklW6Mhwnnmq4qLxWoz8Q0hZePbXG8XCcUYyXPFbLHgW9/7Hv2iQMlEhVzUTQdKCdrWdYwXS+hMv5q25vf++FvcffKEO3du8wtf+yp7N25xenRMcBXDfp+iP+De+YRi1fDGy7tIkfTqQgZawArJShkWAbyQmKwHozGyV3Jydsr7Dx/A3gFf/7Xf4M5Ln9BUKz5+fJxsFIJHS8PViOAnYUNdBaI+f/yP+vxfF6hKzSFuVqZtSMG0UDKBMUohtcbQmdWGJD3zIhJFGljbGKidpW5bNn4fVwJfJUX3LesAK92HWu8RyUfG0wEEIj2QrJIsFktOz8649+Ah9x88oGlqvPcpw2EnLbsaoic/sBTxP52es7u7x0QqDvb3k0SrTeBlJhRbXrBVpKCptZ5Z1TBvao5WFdYnTwEpJWrtmyfWwBEdcyD1J9NdN7Fjyogk62qd53FVc9y0DLRk3rYbVtTIGLbzDGMMxhhyo8mVTFpoIj74NeySwI0OILgEpRIwsgY7EoNlDQTQ+XqkPbI7U7jShtYMjRAjre1ALSET2BTXPjVyI+GLSuGVIirVpQ1NEJz3Huc9LoSUJbNrokrJxHRTimXd0HZeXJfB4vNgxQaESA2AEDxBhA0IpaS8PHZ9TxEIyWug9Z4mBMpcE4XAEWl8oPEBHwW6M22/DG8/F5MLcN7T6/d449WXub6/m0wIJ1PEGnwUHXMjBKKnyywYEqjUsTuESMy75FeWJghJvrQGELkCSHFFQiV4nqLSgVCbA7pxUcQN2JBm1Sqxi+K6Eabf62FHiMBa7rYxY9qAXz8kuksXtAaSumyQm8u5UncJPEhgwiYDX7i8+oRjiUtg60o9X76+sl+qTf2vfZCESB5+a1qVlGuvM5GkpFLABiyVRCVBJFDKS5kAQiG4hHf/5jaxBl9iGkfX+36azWSGa3u7ZHmXuamrSCGfByYvk5wIog98vpITwHSlpV3i6Kk8u51pKFqb8Id14sOuHV4BOTfnjXgfkgzcOZSUm2QJ63qI4aon2gZJvWwj63bW3V8IbsMyvASnOqZU1wUSwHUp/43x81f2028yRrzOcNmAbFHh+pp2X3D4zhIhAn5L8cUbN5m0Ex4+PeG+9UyPz+mfnPIH799nYVdQRsSnd3nvKPLB/Uh+kvFzkxeJ1y0v3f4NhHCEVUs2tAgtksnvWFM/XnLy/mPuP1uho+BXXujxrQuF7mnuvDBmviqZH13Axxfcl4GRNOzHgvMwYdnUzFoLozkK0FXBtjQslwt++/v3KKoD8mJA72CIb8BLReYi5bMFrTV8ML5g2ThUhKX2/PPf/T53Pjrm9S/c5pWvfY03d/b5Tz455s/79xiPhuzub3F3vmARW66N7uCHDVEKgiugXBCdw6nIKlN4ClR+gNoZoQeS6aOnfPzhI+Zb+7z4zb/P+OGntJM5p0ODyxQhd4z2Ak2rcJVEu3OUFPgsAeFyGJADgRMBOzeE2rBdCM7LFRU1wo9gOYJVjrQrBDVRBCoGaLFESU+lNQhHIRz96HFBYkXAby/xfoyr+uSyQVuQIeAGkaqNuDoyq2FPOca9wLM6YlrJOCh8JQg+I6oBy2GJsxYzb8jDNAVOPZWyZvoM73NOB3PKWjJaSmZqxiqz1Fmkv6ipRMN5LlCuR+EDvaaBUrNQgUpBX01xeJbSEmuFU5qqhJ2mwHRB6sw3zJZLLk5XfPbnT1k1hrbn0KeaoBfY0VMu5E0GseZa/Qz7ULAwjmdNyROp2RtHZkPPfu4oBfTQLFyGNp55ESmEIqrIamCpZj0uvOezkeOG3cIIQaMvyFuDin103MebT4lUhGio4gAvNEEbhG4p2pbb0yn1QY9FT3EkI1aULJuIXR1j6WMzxTy37J4Ehg1cywW6FxkY0KpEqAKEhiyQqzZ5bE108srCQBGJFiDAKKV3JwpQvZRCXUYKVUFoITjKge6SvCjYHcJZQFSe7FoFE0GYKVZFjjQelQfkTkxeX023PNaPCZjyHSAlFVzTyfDbF8Rjz3ypeCJLnhaPGfRyZD9nca6wpgDV4+l5zbRpsIXjYWuQFcgqIFD4YUHcK7hzskCZnDjYZeuFB8xPcs5XI16azAhNxkoMGMcH0Hr0VHC9GrHtBUqdI872qKaBEyf5W+MCn1ecyyWPzyumtaDWLQPbgpTMjeGwqSm6OO1c5gQHxcqjCkmxpdl+NUO9dAeKDE4fw6hN8qOZAi+IweLDCtVLWePiHIzTxOgRhUNol6SlA0WxhCAD7VCQeY2Pggs8epnY643wlABS0oaMQktkDjo3cCaJNmKlSAkjtMdqR1klGV2oA6pQKK1QIeJ1msPJIFE9jygEZcghb7EycrGeh2iQW4asUZhWEI1iJTNaJdG9Fqn6SJGTNRG3avE2Yo1Br0Epr1ABgovIkcKVEFUgnklCo5Fthm4FjdE4JSgbkzL/ZYJ6LyKVQgqD8J28NQp6LsPpbrE89kAKhInoYoamhNhjuXNOv5L0KwVZhg4S6SWrQY9oUqyzU1hMZsBpZDT4Nqda9unlSywlK7bw9i69tmVcQ2wljQ7UGTQx0ujItCdRZ0N8YZiNYKuZY4PlXEJQFukFEcNcaQqfsWULVsuGJhjO7ZByO6PQgkErsIMV0nnamWJPNjQILkLBOC4IWJZkeANeFVg9pNDHRFXhhzUi6yS4K4Vqa3IiO/0+/d2CTOX4Jw1OSoKSuG1BPtcYFzAh4ESJD5pWLNDeI3TADyAXJaLNEBeKkBcEFTDzJeyljHumnlPJPl4ajNC0JuJ1AuEUBiHB78zxviV4iRArYqGSJI+IbHOEzam1RAiPEA6lBGoxRi4NrmmQHjIRCMU8+Xoj8U6QtxYdW44GimEmUTGSnV9gc0HIDaU7ZCECU2EZIwiiQSpPj3GKuUJgqTKKmMC5H7f9xKDUOgX1JbhBmgwLNv4Nj49PETHQLzTf/973N8cmECFlgGqt5ebN67z98h1Ojo4JynD36WN+98//iPl0ySf3n/I//0//J4wHg8SYMYrv37vL//mf/Dd8+WtfRy7m3Pv0Y1aVBSkxWcMwz9BaY5TaGJeuM31trvXKb2tTcvMQYNkko8MQA1oZtE6A1nw2TZ6EKjE3hBA0mQMJT0+O+D/+P/5LPnn2hEFR8HA65ebtF9jevcZia598vIXIMj4SgrOLKRenxzx8909Z1TWDrV2+8Xf+IZKUNUprwxs/+4scvPgKH378Ie99/0/46P3vMz875s6NA8qDF9ja+ozMHCFYXIFf/n942wQAyWNp1lhmHuYYZJahuwCwtW5zLyF6fEg/zqVU8VJp+qW6PK9YM1M6ZgNXAMcuAxwkxpFQ6rmAczgc0rYtF9Mpf/iHf8TZZMJiVZHnOWXZRyqxkYlcDXSlTAyONTjUti1nT59x9uyIN998kxuHh7z28ksE52itY1nVPPORGDzee6yUxLxgz2SEkFhzzrtNBq11cSUST7zCOkjsAOJ6hb4L2mUqMxsjJz4gZGfOGSPnLnLuWh7U5+wWhq3c8PKwz81hyVZu2O73ECGxHNaZ70KESetofJL+jApDplUyWw+X3itaKUxXpmvpGBFyLROoFcH6TuYjoH8FEFqzhuiAQdlJKpVMXlJSKaSSqCInBp8Ax5ikZ1J03lAhUBhDJgUqehZtQ+NcFzCzCYCvggWiawtSKQZFCTEQvGVVNSmd/ZVtDVRBJAbHvJ7T+pY8z7DAsmk5X63wMTzHLIub77z0e1NK4nykaj37owEvHezzpbdeJUIypsx0V+mpLUcJ6/TWIiQfMxX8BiQKHdMvxIhcM8fi2lsqvY4hbALoEJ4PtjftLKz3pInsmgWy9uzadN8NRHmZ9WwzeHbvBHFF3tQF+z6spWOXbKlLZODq2NDVlbgEMmO4xL+umrBHebn/CkS6kZKuxwO5BhbFJfiUAIorIJNIQGyQqe0LIYhKXZ51zZQSXd9Ys/mEJCBxUXDeBpau4379NcH7v862/m4lYe199NNs63ZRFAUvvPACQmoa6zpP3gRc+phknGvg6BKcWfuPXWUmXQEY42XzviqC694ikvzSPPGSjcdlU1FCULeOpm05m15wsZizrFYs6wolFVop8rwg05pMG8aDEWVRoLVOLKiwlgTGywUNuv4Skrx1AzitAShCx0ZcX++lx1n686//1N2vay4GR8x2TtjfjczOdzj//jb3r08Yh8CtU8W/fOcZ40cztj4+5Z/f/ScEZ1Gu4eJlEAuFPi0A+MaLL/H3f+ktVp8e47Yyzh/NuP/7/3eameP0qOJv/89+g7I/TMZFouDJBw/5g//L73L4y79JlmWcru6j7mnOK80fvQ//aCzI5wXvP9yjOTzn1BomzTavyIxcB+Y55K4kek3VDHlUnKN7Db1rLbsPCmohuRfPuV4/IDaaqXiDf7V4hmmeMProPmELTmzOP3u6R1juUZ1Lfvf3f5f3mNKTOQWeF2/fpDjY4eO39hgMSwqRMa9LHt87Y3p8xuTDD0A39PbGvPxr32T1YoPWklvSsv3L3+T6G69xYZ7xp7/9HT7+F9+j+N/NGewN4fUXKD76mHJVoCrJ/emn9PdgtA3tJ5HyUaQwkfPdiv1jT/7A8GnYJgQP2ZK7RqCOdPJEOpzCQCNz2D294Kysidpxc1YxKS1V4bh1IhADjc81z5Y5jRtDXfDCxw842wssXg7cWO1xNlWcLyP+5DNGdWTYCnxeUAlBpSL1rZZwppAzifRnCB8QYUQ5W+DUiuraHLNQtHpFm1WM2psE6WlUjfanQI9WjRmaAzAOqwLPzJAgApmy3CwVql/Qbg8Z+QHbMXAnWnzcQtgFujlFHvSIoWCrKom7mlq0XPgFJz84ZTl7Sr26j31pj5F0HJpj4sGbTKTkQXHOMBsTjeFhcU6hc4rZDm89uMVn177Ns+A4rXf4B9cO2N7aZXzzNrGaEFygbm9wLpfY6GkbOMsFIdfsyAE7fkoWBM4XyGqPVmSc7y7Z4jpCNJyLM/bFMRmSLCpkeQB5BvsNyDnaC3bmbzIKAiUXPLnjGJ9cpw2KT+T3cHsvUbVjTpqMhxef0XMLtsOAF3dytgY6ZTUMMmUnvO0h+gSMLLdo8zOiqsnZ7szdAVeBNCk7ZDWC6w30PRx344khyfJkhBrYHwEFwhjGL3aG7FHA4wAiT95RX5jBhYKFgRvXoKeS6br0aZxa1mAkvdEZO3t3KVc57WBJM5hzIBxjWyMWFe/+yYJz09LvpTnM2Ht2nWMkJao16DYtdNrrGe2LBQf2S+SHxwxefsTh7/WwtsdKGg6zbaYy8NSCcAK3ctSTmkW1IhvDi7804vjjHT5+uORP/jzidpbkOjK8iMQ9aIVj2VqeUhJtRtuW7DdD2mg5jnP+43iTXxm+ztff+hnU8gJaB2oKs22IDtQZxBEy75Ef9OAsmWqrEFjqDBEV11CIugc5lIcVTHICATNWKCexlSA70mwPPVF6jhpP2y6QBK5vj3B1em5Uw4Zqx2Baya25YdlU+NajhaFqEtP/+s1IawJOQr8dE45SJslwq6Z2juDArQz1aIgvPIMjaIYFTgTkfJX8e7IcN+uThQmlXNFTGbOhpJHAgxyxFVE9KE5yWiGxGoLtIxcg62TEPtCOoXDM7YrMCHQpmFxvybMFpQ7MxE3i6QIxXcGFImYFPusx3dqmjA2lr7H357TXAu0ulMuath1TzYbEp5FpljEvDH19nWzliTNHrZfEAYQbEj/QKKExjeZkssVomDHKYZlpfO4oizmH7QE2KBYELs5uQ7zAxxPOD0/xOUgjGHwmMK3Gzgx748e0XjE9MZzEdewjCHd7qQ9lnrru0cpAW1wQiSjVUKpT6lBT90su7uyTzTLECsDytN2lpyRvjis+m+3QxpaMZH4UW0ecT4m5J7OR0RQsHityluI6k94DbpaGLzY7XMwVVb5iOLiPfdYntDkxG1NpiZcQpUfNp+AXyJ7CskW0Am1BNBHRtCBaSq9oM8HjFwq2Jy2qbjnZz8htTRZtmi+ZEkJB1UBDwEpL3QcXZmi34rbPcWEXV0mC/T7T8xGreZ+H05LzwzParZoXxDWuKeiNLI/6U3Yzw0gV6EwjL2riKnLWe5lyeEaeLRg0LyHlOW32DLOzQ55l5K2CyZIDozgwY0Jb8qSwnGnLK6zIRIPSltl2Sd6sKJrVj50n/RRMqdgpra6AUjy/0r1Y1l0AEQnRd+HP5Wp0ROBcYFm3nEyX9EdjZsuKJ0+e8P/+vT/Ch8SwiFlONhiiBThfUTtL1bS88uprtHVFFgMfPTlj1TY47zifJdaED4G15CgmrUsHYJBWwNeT5ZiC1cwk1sqadbAGCkQ3mQ4xPXNCt4LfWo+PkdY6JtMZH7z3DlvDIUZqvvDlr3Bw8zY3X3mVyfSCi8mEzz79jM/ufsbs/ITm5AEvvfYaW+MhOjbJT0AZzGCLVhlCVnLz1bc5beBsOuW7f/JvUb/wS5T9PseTOXVrN2HmX+Zv8aMke/8hth/9vSlg9CF5+kglKfIMLQVOSYzWrBegXeyYMcHjvcWHLmPh5xhel8HPVYZFepVizcSEUEojlUxgpTFY6zg+PeGjjz/hYj7Heo/JM6RWnYzsKhPkkl0hpdw4SCspO3ZXMkN/9uwZTd3gneP2zZsUecF2XlJXNd47vPcY7TbHh05mpzv0eAMofA5MWAdTIqwlW2zabgi6A4pSVkOeCwTjpm3bKJnbyINFw9JHtgvDK0owznIyJWlD5HhRcVG3PFk0NC6BHds9w6hIyQp2BwWFMRipcCFwWjtWreV81STJIDDIDKMiY5BprvWLTTbOxFKSGxbSRlKn1IbpIKRKAFUHkNExWIROGZB8jGRaEzpPqExrdJexsXFdf+9awvMcC7FhRqwZUEqszffX17Umy3SZAIXoZKOeWV0zayqa1rGsGxwtbcfeWsM1UlwyKLq4fHOvrQsoqdgelPyDX/4lvvLm61zb3UnynRiQShFiSJ5l0Hk6RZIpdNh44HR+qldYIHSsk84rB9XdZwJpNqyONctjUx5dOxPrs3Rg2CZ74+f68tWiXJ/hORBvDY2v+2RXKldM3uPVQy/PwqXROlfKbw3GXmFBrft7x2gCurE6vbchgIlLnuQGn+6w60unqYgMl4Qd2aEsYj12rM8T00/sTrAuh/U1BdEl/vpc4fyHkEP/qO3yu5J/0k+zbRaMhEzJOETnI8YaaBWbpFGpLW3gwEvgvKvLdR8I64oVl61jY2DfoVRX69xz2VJi15d9CKyqFZPpjMWqYr5aUjcNrbNY5zag47Ku0VKhlGSxWrEz3mLYH9Avis34uH5Orr+PIIgimSdvAKjNuNmxrhSXn+MKSHX1kfNX3Jo4RouGkWhYzhS1D8SyIVaaJZaWgP/IsagcZ7mjYoVqA7L2+OMymcsPHdEZZjQ8XU64drDFs7bhnU9Puf/OU0besC0H/KI4oCxGEC2IFqcrquEpt3/2EFsNEe8dM2rv0lYtMU74gV8yaVtitsDUEuED6BlTYVFEDizYYJHGkV+DaeXwFuxU0x+d0y8UjALy2BKiYKxbZjOPl5GqEfjMoVzDYDVhJTW2bXn0QcBufczOaMgdU/Dyl77O6MZNBqPbzOqnnC4W3L0/4/e/9a+ZP37My48n3PzFV8mzDFNZAioZsvbHaFNiisBw5w32vqw4nc353T/9M17/+t+iLMZ8LHvM0RAFvs1p2iI9C/bPcaJPQBH9FOssykt2GLBSc5z0lE8DxjmEFLQnAcQCfMtFlBiZ0p5P6dE0EH1gFSYU1iOJ5BZ6fomk5dzltKuAFDUza2mKiCwDO5Ug5jArBTbLkU1K9x1PCkKTE0yP5kWP29EI1WO8f0ZYga9LikNNqA2+ytGjglzX5CqyaIeQCYKpUVpjJBTKkZuAig4dLUVbQoSAZ16skF6QtZq8CKieRsoRaEmZC/r7ksmzC46qBe9UEx6dBVTbZyhvkJeaKByTYBnToAXkYojNFZIh2eoV2t4FUjmcesYNs48XLd4vOPnwKcutCqMNB2WPvupR5j2kivh2ha8bwqDGK0UedyDUKYGN0rjBACsE1sxYxBaHpQcomaOAQWzI3QQTFXFgyWKLigbjLJKcqAqivMFiVOFi5CAcYnJB0EuKuCConArJUjrwFbsrz628RAwzMAUsHGezcxZNSy1zToserSm4LpcU80DuBVs3S3Kl0dFApbhYWhbLmmpeUCuN04rxM8icJReRPZkhtnPEwKQ+GHUyOT8MsCzAZoCGoYc+CaQyLiU1qCXokDwfbhrcZxrfag6v7zGfLjg/WbDzwj69ayVkLaNYs1SOOpfMXI+6dCz7Lb0Ty7J2rCbJW3WkBTtGUjQZWy4Hn2GDpR0u8DstmSsog2AQItV2xIea+WdL+nrJiQzclQ5xMmfRtOzpFXYVkFagSQkIfZBkXmFzT8hbfAzMZ4YtIXktL/mtf/gWb/3s6+gXb0PhQbgE8tVtGpRlCds2Pd/LCNInr0ClyYRMuGGQYJoUB1qNVoHgI6tpSpgQiMQ9z7K14COZVNhxgVOBVjcpUnaC7CxD9xUykyxzQZPVIEGFLGUlC5HatZgs3Z9rA35oCRFaGcmDQngIwSIqjQoGLT2qTQlvlnmOMgEZa0TmUM6iomJlh+ilR8lI7Edc6fGFx29ZxCJDW0nYj8QqPbT9MOJa8CvBfCujbwOFqykA1QqilXi9RIQAMsP0DEq0gMW2RZobBkEYJ/N55hInJWQtqpgwkQHpHaVzRDnAZRFKKBCYKIje4OdZStszasHMIJbQaELP4/sOW7ac1SsQEHQgHzloBMvFNUQ1p9c4CgLWR6QWbOk0zrVYrGwQzTbSOFRvAU0OQSOcQquGSKSxBmMsMWq878G2JhqJr2rCyoJzuF6LjHM0Au8bRts5TQjUdcRljqAdYjvQm7ZIPNU1AXOdEuCMJsSFxvke81GPnlPoAPWiIEhNyCO+XOF9H5Bo5UC1eGlpywxZp8yOMmRUek4UEROu44TAW8hjH2vmuOgobI9KLlgIixFjBq1GBDg3CzQOBfTddppxRc+cOWdTS7USDM4EZ70lM92wKHdYNZp2UvCkWHEhTslEQ1Mp+jZnJPOU1FMlRtqwqdAiIoJGqAVBOIJQUDYEmeNjwaqckgtNJnKqApwymKAxC0HUDbVu0cZSC8dc+x87T/ops+89DxBcbmkyuqpbhACpRNLjsmacrFNop8BpWTUcTWZ84dUXma5qTo6PeXZ0wmAw5Pr+PuQ5uiwxAqrZEqRk0Otz6+ZtXFPTXEwYDfq4eWKdLJc1IXYSp7XmaROvd8DY2og4JOatlAkgCSGxeVKGpQARlJQpEF6zVUjn8iEVqMOzWtV89ukn7GyNeeHFV7nz6uvceekV+ts7HB0fcfzkCd/99rd49733WS0uuJZ5vvClL7E9HhJWF9QuorIe5DeoY8CZnFuvfYHzRY2/9xk/eOd7HL70CqPdazw7v6Bp7absf9zcWMqUQj50E/2fJFD6vMTvR33mJwm+ntvfgYHJyyiipKDMDU4JvJN4f7la7Yi4jl3kgiZ0r9cBxmXwEBLjqEvDtAYZ18w41fm+aK1RSiUpW2Y4n1zw5Okz3v/wA1ZV3QFk+ZWyFJvV8LXHjJCiYyJ13xUiJsvSart3nJ2eMZ8vWK4qBsMh+3sZu8MxhdQdKOVwLgFs1q7ZUaGrmzXAuL6v2DGQwma/6EztQxSbrFOhOybGsDER7nCJTQgOnVVXiEzaQB0blt6zOyro9STGGNrG8XTV8Hi65N5FnTKKAduVZreXs9PL6fVLCm1QWlPVLSd1y9G84uFkTu0T22GrLLk+LLk2KNgZDzCdj9WmDEWChdb75NrDRwqi0ESVpFGoxFqJAoRSRMQGlGqdxRPJlU4m5T7SdqDUj26F62A03ZPqGDk+JuBPyM8BZSL5S0UCrXNU3rKyNnlbuQSWCtgwL9fMr9gF8ZcKuTVAIiiLktt7e/xH3/xFXrl9i63RiPligQ+JpZaScAY2tda9XEv2ougMp1n7SHEZ7K+DeyGJwneslDVAkNhF8SrouS4TccmIirABsjbN/8q7l5/txs018tOxZNZoRLx6vnU5XOKkV1pk7ACK9bV059rc4w+DY0RAru+VDliMl2O8uPSwWm9rxtQaPFwDCpGuj6wBp9hJ1VKuheR514FSRNH1p/Wxnel3jJfeape3+Te2CbGWeMafaGz+C06CUCq1464CNxnqSPcdO2TnubqOl7XruVL/3d4NIBUvwdXnFhY235f2rCW41jsmsxnPzk6Zzucb37g1gBzWWfas3Vz/qqoSk9MYxv3+lWfGZhkngcHruuvA/uefK3GD/q/LNMg0Mb9stX+9rWELE+fkMXB2IbDGQW+FWCoqAlM88p5jnjtUL5ARMBYMAk4y/JYlXmsRlWHiaj6bTNh//TpnT1r+5NMT3n0w4ZXBmJ+7mRHUNWLWhzgnxgb6EXUbDt7eZvUs5/gHu4xiTh1rmjDlo4Wm1YFs26ErjfARoafMgEEQXHMwDZYsh70tz7LNsMGgGkF/f4IpwZSKmUmLl73MUi8jTZDUSELtybxjZGf4MsdZw5PPHHHwkHCwxcHtO+y//iV2b76MiIqnxw94+uSMT74747/9vf+B9skD/rEdcvsbL1NkBjG5wFY9Qi+nzgdkKkfpwGjrLW59LceePuKf/v634eVbbO2V/MAKpkEQgwJrsMshQQiyFy9oGeCdgYsZTUw2+Du6QKgFNY7+s4ge++SlcgrEChdbThizLzQ9KbhPH1ErNIFlnCBtoPCBzMJALNBI3meAbgImNix8oN3xyH5gdwGnJUz7AkGODi2yaYmnGUH38KMBzY2IH2mEKhjuO9y5xPuS3rUMMckRTUk7KhHGgxYcrcZgKkRWIWKPDEVPRHoZZCGQew+1TvNhGVlkK6TVFFaTZx7RU9DvIy4CWU8w3I+cfXTG+WTCh8tTTqYDxnLIoN+nyKbUseGsDZSxQQRBGUaJaepKisU+0z2LK5a43gkHy9eQoaIOMyb3zzia1LR7GYNrr9Ab5OTlkEK2KXNwbNGFxSmFabdoVEsUASUiftxDCo+WDs8KET27QZOrHkpEBqFmEGcYIi4PiJDGciMstcpwOiOXB5yOHhGxvGBv0BQzRFzRDzVSbeNVn4vsDH3a4m3gVtDEso/IM3jimZwcc7JaMR1VPHS7rIziJXXK+NwxjIr8zQFaaVRUBAeTecNxteLCZ0y1wErJ4VLSzz3Dnmc3asTIgDBwXIPRiWl1LYLKYVFAKGFQQ+7oUvJBbFJgLmJafdnT+Mxg24zr13eIF4HzoxWjX9wh38oRxtFXDX3tWWWCiSuoSo/alwxPLbPKcmrTyPsSgptEcieRdUaMJc/iDDtoCTdWyOVtTKUoV5FlWTGb1dgnK4ZbnsdO8G4tGVYVvQwOeoLlMmK9xImOQRIlBkOd10TlUKrBNwN2TY9v7oz51f/4La69/Qrc3If6GHzyN8K36eGtSihmKRshCkyK06IA3SY/0UYJhGkTtdj1EKLGx0g9T7LXWATUoWV50iIc5FLBuMBrT+PmaCWQK415UiLKSMgl81wnRZsC7QxRQXSeuvUUwWCkTEybYcIW3UrSDxLtYY5F1waCQUuBbj0+ChbjHCFrRLCQB6TQiJCxikP61ZJctCyGAVcGXBawI09ZB3Qr8XsRphFq8P1As4y0c8HysEDOGqRtyZ0h+hR7ka2I0YAx6FIhfZ3KtPbEkBGiTgBsbRAzg9cBkVXIsmZWGoYrz7CKzGUfbyKhgIGSyKjBG+LSEPsORi0i1Kmd2h6x9PjSY3PHmVyhZSTPLeW4wS7G1MtrmLqm9IGB9VQhkgnJUBvOln0atcSVC/B9TFajy4tEIHAG4QrycokNUNcFSnkiGS6MELkEaYnLBipLkA7b86hmQeMjtbP09wLaC2wDTeEJRUQMPcXUEyRMdiS51UQZkTvnhOkQHwoWg4x9J8EJ6kUfDATjcb0VsSqRQSBEizctDofNFHkNMqbyaozFGUGPazTUBB/IfU5rJFG05LbPRbFiqRw6FGRWoLxllleMoiMLmoFNbFEfKyYsOFpMmZ1Hrj/KefZixXQ3kuk+sTaIhWYm51zII4RcMogv4jAImUHucbqP13361TGxgRAyxGCBFZEgFaJosQ7aoJj0GgZO0vOKRZaSxZRBo1eGpsiotaWnV8yVZ5L9+FnUTwFKCfI8R2vNfJ6obUIIlJKbSXDbWvJMUxTZJhh3vsvPJZIXRPI1ViiTc+P6Ndq6xijNP/i1X+f111/jC194G1MUPJ2cM59NiQLe+srP8n/65i/zX//2f8efvfsef/hn32N/b5dhv89kesGt2zcos4ye0Xxy/yGNdSAlrstGFCGl992wNwKDQZ8XX7jFs6dHLJdLqqpiZ3eHLEuDydOjk+RZI56f5IfkLIxXcF4FZnbO/fN3qIt/xu7ONsJZHt79jOOTYz67dw/XOPZ2xvzKr/885XDIk0f3+eP//r9C94b0927w2i/9j/jS229ycPs2r771Fi++8hrv/Pl3+bN3P+Kd738PrQ2PHj2l6Ty5fpKJ8d+krOTzWwgR4T0qhrSClmcYlUzgrvp6aKnwIWK9Z1YvaLugQ3TZyRAyZQDrVr2ddx0wEzbZ4GQn0dmAUUpzcn7GZ/fv8ad//j2WixWtdZRlmZgigmTWBxtV0dr8eL2JmB7ySQrUMVQkCGnoj0dE7zk7PeF3/sW/5M6NG/z6L3yD/+jLX2Kc56xWC1ZVhXXJsD1uvHtSwLsJ18M611O8gip1oXokBUadHGkNNm5W/ztQKnYG3gkCion9w7p/dpyRmKRLC2ApA8OtES8OerxwQyRDvTUw2QGzLstZCsXSB+6fzXk6T8wqkeeUHaDjIpy2nmbZsm9hr5cxzEwCczfMFZG8OAW4dX8SEiFN5y+VfJKUMAQh0TpDKMUaU1+DRkokj6ZV2+I6H63Pb2uAo4ukyUQyR9dS4Il477naPWKM2OhpomPlWnxYm6t3303yjlqfe8Oigw5ATDdW2wQgKgFf/8Lb/PwXv8B/+nd/lRvX9wHBfLVCKoWQKp1fiMQOCwJcMmBGBKRQKWgOJMlzXGOi4Xl2XKLNETpZdAyXQTgiGaUnHyo210gHNqxbTuh4MSLKDTgKax4WG6xsfe8bqtGV959/sd5/WcDxys+mWjYAnkiTxO7INYC0fh/WYHkaR2aLKsmepWTY712BCj7nd3jlurRSKCnRRiFEYuZd1iO03rM24F+zrtYLKGvQZ1rXVDGQa4UwObIzhPvcXf8H35J0eY0C/vgVqL/4RB37U3RspStg61qOm8CpH32nl+yq9TGpTsIV9laIl0BQ19jYyIDXx3Qy1TwvuHH9gIO9a88x+YS8mh2UNTpGCCElolCSVVtzFZReX7O/yrrd9JUI8ZK1ul7EYfPZz7Op/no1vSUGTNvrnM1zGv2HFFXFeC7xXy0IRyPEgx5h+JAbbeDlZZKtVyGykDDPLO0AwiDjxsMaI/o8HL3Gb34z5+UHS77x3mN+43/7n/Pml17ii1+8w3A0JdhHuPoZF36HG2//bf6XX/pHfPtP/kv+1be+z3/x3/0pv/nim9yOW5w3D7hZ3iDcvM7ii3f4/X/9z1k9mWMewaABqy3vD1vytmBoC4Z3hzTDAXdeLflPfn3Eg+9+n3tHc779UcOXf+6A/s4eYfQiJ//sO6yOFtS1Rmw1WCk5LXPqbcEqBr4/rZCPhzSN56n/Hd754322tg/Zt1M+Or7Lvc+e8m//yQcMegteemmXt/+zv4fMNcenH/HgX/xfaV95A66/wuMX/i5fe/WL7I+u85Xf+B/z+tG/4b0Pc/6L3/4zmu8/YS6P+dP/9o9ZLUuCH9HjgsLNkTFQPcoJrSWIiLi1hY+W1nrC3keoY4+ZJ13xvMqwVkMBbTvEhRKR58QKwjIAlm3O6Iklk7JkZVucDczKAuUcPe/plRa7O8L1C25++pCzpyMu6HPqH1EPQeQKPttCiBnIlrJsqeySZ4sTyndvkr2aIOCCPQ7GFfuDmnYB9Ria65Kx3CELOcppTicFUp2Tj484OVaM2wGHtqQsC2xvTjU446w3JzYOUVtGYYdCWfr9OWW7Te0tC13zWvYyR8crvvXeU/7Nn39Kq84pti8Ybb/JuDaM5xFDi9JjGn2bk959Bm3BS9OX2H1WEzQsSstIjohxiKky5OiUbG4Y3v0KszctNp8SLj7huz9Ycm3vgG/8ytv8zNtvMyw0VAti/hiWLXyq8dfHoEA1LXGg0xRpNgQ1gJBBtQNbFmSDqHPEvkmZ9LYysKuUoe3WDm2cQnAYZ4jNbsrEteNozZDoB+THK4q4jcYQRA95QyKMJLYlQjiIDm5IBttb4Aq2Y8ZLcpXYmNMDwq4mywQ7ZoXIwbWex5885EgJLozCDhzj5QJVg+MO57uKZT/yBsAiB5sMizEBVIBHEXot7DsYFCB6gEkp6pUH6WA4BrmHWGX0/sRgHqVnq9SGkxsZH+iM1ycTbDS0/ZLvKMWwkdw6D0zyCY0pmFKwFWcMfWA3RHKxw/WV4vrFiqIQPHwK37u/y9BcZ/t0wvWTIyoc1eGK9pU5n/xRxdJKaq15deIRxvBCUVC0LcEG3BwevSlo6gE8uc7t9i5VZjnar4ltZLCC6zPJ//Q3foav/Nyb/MJvfZXs1g7kGuIK6mUqj0HZPTQcyAaeAtaA7MOeJQSHvbDYpSdkgvCCYTDLcMFwqnuoyYo8tlzvKY6nObZVKC9Qu5bgHYvFkp4Y4p1mOhNs97rF2SCpWoczAYaKbNKD1jHTgqxtkDFgsoJmllMBc10xXAWyKIgobKxptWM2FIz7UAiNPoeLkaIxgjER23gckepggKw0xoMbPWMx12Als50VfSsoqxImO+heTRg7Kr8PuzOErNHzAWQL5HaL8bvoeQ2TmuPCIpONN9vVAWd7jtnYYU4WWLOD12OK0xZdgiigXqwwbaD0ltntQ0LfIvOal1aBKhsw3e5xER6Re00Zck7Gu5RG0JOR3tmMnAFZdp3z6gFmCP2BRlYBM5eUs5L65g7RLGnVgv37kdxOMcxZ7XmmLnJvEShdSeaG1JMtplsaYy3XLuAciLUinhUUpkaJJaZt2b0hWLrI4/M5zfIFRJbDXiA7XSSwbz13aDOYjqiipY6RC3I4WdA3npt9ycMdqGtDeLfHws0QOpI/yulVNSIE7HlkHiNFdNzyU4b1PpkzeC+pypA87eI1ZpmgjR7pIrOeRznHnZMVdrvAGgnWAQMEGu89bXkfJ2va5QsU3uJkxafDR2xVhxxU22TylIweEsPrkz3mhcApCHHF0its1PSNYOtWD3FD0bzuGZkDRsqwh0e7Ch2gxx0Cd/BYavEZQ5vmOj8YPUNHSxYH7NyaoNw1pN+iCJEzecI5M25zwMAt2WpP6Q9nmGaJqQy93jW8ucDrOauDGu/2EX4PVSfz8wQc/+XbTwxKhY4dsl5FVyr5wcDlKqi4nNF3AIEkioh3bsM60koiCQTf4oXg5u07/ObOdX7z134VJQRnR0+59+knnJ1PeHJ0RG845O03XueXv/ZzzOcz5vM5y7rmfDolxIDzAd8FqEFKBoMBqmmommbDGPLeX4JLaYGfpmk5OT2nqmuc9yilcN5Bm9JLDwb9bpIcqKoKEAnMiOn76rrFZxqcJ7SOD959h8FgwHg0YG9nm6zIePbsGXO3oraWe4+P2DqfoKKlai1RtMxPJpz+mz9gcnrM9cMDbt68zfTklHldo7OM+WyWwDytwLmNxOEvYymtgYWN+XTnAXSVCfWjpHb/PuV+tfW0LqTMh1mGF54gkvGpEomB0obYBQ4i0c1FYtwlk/HNHbI2rc5NlkCYCI23G7aUMXrja/P+Rx/x5OiIB48fs1hW+BBQxiClSgH2ms3TnTsSNyyeVCib0lnTLC53rlEsJVCZwHnHZDrlu+++x5ZR3N7b5ebONlujYVrL8pbW2U7CdyVuvhr88Ln62Kz4X67Vp37UgVXiEqwI4VJgQ2STHU+KtXzmSoVEMHnGWGkGqeA2QfoGGACyTHeG8rC3M6Y/HGBDB9J1fV0i0VKQKcmgLJBaY0XKZnIZTYrLsUGsAQS5MX0XnYF6lElWV2YG3Y0tgZSNTUuF6u7XrRl0V0G8q7fXtXchEtuqdY4Ya6z3tMF3MjY2ZbLuL877zT7RXfeVv7pk8UliFGJiyUeS985LN25w49oeb9y+yd96/TXuHB6yu729YW3IDlClY/h02F8HkCTQM2E+HbMTuWHTyS5JZarYCOsAfwNsilRSXTNNX9MlBCD5hqU3xLpEO/BSdHfQ3eeaKcglO2m9iSvltQaKuPLt66M+P8asm9PGn0pdfiJ2ffnyG5/fNuNZl6EzxPRcWfuQrcGH9VV8PhGHEALnA1VrqRctay8tqWQybBbQHwzQWiOlugQc14y+zncqN5oyyygyg5IKIS5B6+ea4H/gxYB/Z1JtIS4ZmN2iyxqkWY8vl9sPA5I/ym5J0PmFxSt1tPmvG7hjRHZtGdKzSmPo9wYbpl+4FAVegpDrE34OLLpq/L6RsH6ubGK8UmFxczfPtb7nzPfX1/oXtNGfZpvsHON9Rn6haWyG749ww5KdozNm80ijJDooVgYe9SKjazusaJjbFduPHKulZCEk0hXEwmB3YaVz9t+4za//Zz2+9vO/gho4Pj15wPTROc+envLg07vcvrnNGy+9xs++/VXa6oJ6NqeZWD5pjylDi2pbjr66xeBazl4x5dbhFqdtzuQkMN5qqKzjfGFpnWCRa57tamK1YDFrefcTWFjFIi/Jd0ucctR2jp+dsLv/AntbFf3ymE+etCgXeeUgpzGGZRt4SkXQx3gH9nHgB//yT8m2d7jz2pD98ZiXbgsefukek/sN5wvHexefcHMyoGwb3Bb4SYtbnXGy/BaxnjLa2SMbjxid1axmmptC4D46Yx4i5X6FP4Z2qbFtjxGRjBbbWAwKKT1iEQhNj8Zpzi8cuZ1RyJpZEemHkp7LuVBLAo4QGzLRUJHTRkksLnC2ovWB1moEEa8DjdX4qBAEjGvx80hoJbKIiFaCNSxjiatb4iIADuFTZiYp9jBlhel76lkfW2mSqFYRQw98SVYYpF5i1BLLgtYHVFOwrUvIc0SZkYuUBSuYgIgtmfKoUtPTmih6+GCYUWBijYmRfj9lnRNIHn/2IfdmDe8tVlRhQF9a9m1FkzkynZMVA850QxNLRNAM6z00huXI4ManhCiwbkC5zHAGlgMFXlEoBdcUbniG0ytczJC5YG6XfPezjxhpuLk35PrNAqF2EDjirQZVDACBbBroBxAWyhZEBjaHWR/GHmQGqoZiCCrreqBK8rYcZK2JTqCCQmz1CDKgaSmytBChD3roViGdhHYAQ0vMItQenEmnKy3DRUFuNUFKZE+AUATVJ4oWpRxdTjKkgfErh+gispcJQtlDXdTIKhBGu8QyoIqAGIbEAgoAwwQ4CQ9bM5Ap2xm1A5ODNp1XogbWrw2IArUDskwDXHMeGJz2uf1MsB2mFNEhZGQ/T4CXNZFrC0c9r2mCZTLKqaSjJz3Ds4blvGDy1PCRrFnMK4qw4Hhnj0CgdJHHZ5H6XNPEAfNGUBtLM7DIKdQWTgLcjIJWSiZKMhCOPDa08ZTpsodrHca1fPPOy9zZG/LazRE/87Vf5eDONYqDHqw9OO0SctWVQQnhIoFxuYAdBXUkLipi1QPl0OMa4QUxKuIyJ7QNMXhKW1HrPj4UiGUgyIAnoJeS1hgIkrxJcuUQoYwFMSRWWzN0CK1SfMIKn7XE6FGtJKqIV5FQeFgGpJf0Co1pJCCoBxJRWYgS1ZcoExHBsRKRIDOk1kQVMZXE2IBWEaEj0Uj0NEc3aREzawtEUISo8ELiSxCFJ5/NoWlBeaSbI5RHGoGra1TmEGNB8ALECC8NTVaQh4adZSTvZxgjEnuoaAg9RegpbD3EsSTaFU/aZ2TB0ltZjqykbRtaW1GMCnIdyHs1qyApbMocHvsGkQWyUJGFHoohUgwImcSXETdw6HpBqAIx9ok7S5LoWbFqBM6CDpGRK/EqY9mTeLMA01DlhuHkAjBEtqkG59BYTONZzDJciAwaSy8uaMWKmfJgDdpAtrViSQ8dYGgrLs6GOKVgFJGrHOcsp6KhjA1KehZ7DfUiYKRkMNI0dgsXBWEcKC80PSQiOpzzxJDT5iMac05UFdqv0NIDAYWjb7eRMRJ6C1AmzdzFDBkSqK78EpoxQozIo8JYhRSaodfkUQKSU63R0SK1Q8lII9Jis9YOgsZEgYs7XZbHyL6t8ZQ4UVLpFUMh6PuIEQEfPT622EyksTFEhmGHlKFvTvTbSAfKL2hVDqJNixBe412fKmjOWZHlmkzmCOGppKURnqI9wMQheVTIsET6EhW3fuw86acApVKqzNBJ2KSUaK1w7lKStDGMXQeFSLSSeOc3E95CiQRK2ZraOm4c3OArh7f4ua/+DPfv3eWD937Adz/4kPuPn/Lp/UfsHFznoml54dXXma8WNG1NCIHz2SwxKJSibW3KyqM0RVkSiFRNfRlgCLHJDh065k3dtBydnCU6AckvyFqH8wEJDIcDlJKE4LFtC0IwGPTQUtA0LatVTey8krx13PvkE7Ii58adW7zy8kuMt7fov/ceq7qhalo+uvuIgx70M0lRaGonqaZLnt3/DqenJ+xdv87Lr7yGdA0X5+fkRYHrQAxjNHXbgv/RgNTn911d8b0auHwesPqLtp9ImvdTbLV11NbTWI/MDUJFRFTJc0Gq5HHUtknDDCitEV3w6b3rApSQAvMOSOoVBUokQ+65rTdm4EVu8M5T1TXvfPAhT54dcXJ2RlGWaJ1kfUkrJJFCbcgfgmTeDJfmy5f4U2QT8W/e6IItAUZpsLCoVnz/ww/RMvLarVtkX3qbfm8vgSxktG27AVDXbJfQBdwpiAobpCJllQrPMRA2TJhN/Qp89FcCSDZBYMI3OkZMvJRtrUESowxFLtl4+HSg7aVDzxr0Sp+7vlNglEpBubz8jOr8mASk7ILQecWs/7vKXunYbB0rBSmTYfUaseq854o8uwSlQgJxtFIps2IMuBAIzwESP3oTXbDdOEfTjUF+w0q7DD6vyic31/sXbKkfSZTSDDKFD9CEwFsvv8RX33yNX//aV3nxxk2U1jjvqdsm1YeUnWcYm3aUXguSD15XRzLBowkD7YRRIiI6Y3IRA6FznRbdvyQ1Eohw6fcjgkyMPuRl4C+A+DzbJAq6vnNZmpdg1BUD9A5QSxjmGp57vqyvIp/yarvaxPji+c9JmQAywcZ4/uppLkF2EpOhG++1Tuyn54TMXdu9WndSSirrmNc15/N5MsGOCRjXRHIBZb8P4oqs9Coo1QHUhRT0sowizztQaj2mdl/9I1vKf5jt82P5X2mM7p4L6wx+GyYeV36u1iOXbVdcuXvx3P9xk3DAx0s5+OXlrZ9F6/FVdGmxITPZJTDG1fHxUk6/XhxbX8t6DPSbTKmX98aV718ff6WVdGysjr145TkpOu+50C24/XWxv7PRKf1JpJwLROwTrm3hb2wz/t4pzgemOpJ7Q5VHFiPHwQsjapYs64ZXHjnUUtA2iigNsQS2KhZ+n9sv3uLtn3mdV9/4GR6efsD3Pv4D3n+S8857T/j2H3/Ab/3sCF+teOOFA9qmhjpQLDSfLI4YhsB+iJwPSg6KwI3qGdcHPeww5yTzlLtLROUxy4jQDW1Pcnwtkj+YMT+XfPddTzkWOJ3T2zY0tsbNljh3xPb2l9nuO+4czjg5rZAOXt3rIelzsrQ8UyuiOcYFQfs049N33yFsD1j2XueFa19lfL3k9tsDzh5XnEwbvnf/Q+TRDfayDP3VIfa+ppksOV38OcerM+TWDsX167wwg3jc8kJmkE+WNN4xelHgFjW+MtTNNkpYMuFRtsHkaTxnAa0raX2f9sJxIBty0zDPYFznDF2PqVpAtAgcGZaGEU5k0JvilpHGSaxVkIFTEVdlBAVRBqStEDMPKhDGghgEOEFFgag9MrZI0SKDRbqAVgNMIVE7Dcu6pG4EzloQgegyostQ/ZJMCDIajlkivEG2OUOdEfIMV+RkukcQgWgsLBq08hSFYksYgu/TmhFBOUQ0ZEHS31KYGHANvPvJB3y8cnwmc0o5YigD+77mcS8ttAg5oLYrGmfARgbtDiETTIeCi9EipaOfFAxqQwCWw4g4zwho2BP4bEYQDZYeeS+jsS0/uHuPaz7S3tmlf3iDLF5DaYE6mCPCFiIoyGoo68SSGbRAPzEfYgZDmQCcsIDROAE1c9ulGXZQeBQmZaZUQE8jgWwSk1m4iTDIk/F4A8xLKAIityAdocpSFuFxTY+cfpNDEWEsErupGYG4SIBJLCE6lBZsv7LHdt+nY+UAJqkvcriV4pDoO7Py9arlEBqXJFWDBdQGmgLqeWJZa5XuCU3niA4okAa1D2KQxqx26hmel9w5KxmLCUUvIPqB/dIzU5FaRXa8o144FpXg0cEQk0MtHeK8RS8joTL8wE3piym7+oJPxn2EdAxaeG8CzcwgLzL6IeLKFb5oEXNF1UqOWsFhBq0UTJTiIHikaPGFZxZuoaVnx8/4jZe+xJe+fMgXf/WQ4vY3kJkg8WEA58BWUGrwGayKxJJSDrSGbQ1LB1VDrLag8OhRi7YCakVclFShxQdL6Vqa/oggBMwaol4SZSDUiiYapFf0Wlj5FV7AQBSEEHEi4kaeQmcoIpIFS+MIEXQdCFnEZ+DKgFoGZJD0lUFKjROSthcAjfCQlRKV0lGzkhEhFUplhNxTeIWuAoX01NsSayTmqMAEj5ARWydJZ0ASVMQVEVkEBicL6OaYoVwgjEEajVlVqEygCoFaSIQYEtWQuu8oa0+x9HBQpBg5tlyUDbE0xFLi6GNjQxstR/UzhsGBd1SiIK4qWC05lLcpt2qysmEZLcIKdBTEXh+pAkZU5PQxDBBiQDSSUARcz5IfLxBtjnc93FsVMZOEmFHdd3gryIJg4HOWuaYaRKJbEjMLpWE8n0MYYsU2y94pyR1PMZsbVPAMaseWWrAEZliE30flkG8F5kpjgmfHLlksdwkmg72IvjfA1y1nccrh0qGHnuXtBhtAC0F/IFhOhjRSE3cjO8uGEoknYr3DEamLPtacIkWDti1aNEgiGom2B0CG61vSyn0giBUiDpFBIeIS0W4hMWS6TpkVo2TsDComX7KJzhDUSByZ9EgfkNHTGE8WMlTMsH6MNJY8Wg5iiyenouBT06CDYhAEXnlEaCA2kKmUcMlHRmEbK84IVCh7G22X6LBkqSVSOHLh0EFgY4mNOROOyPOcIi/Ia89MBhZCsNvcwEgwyiJig/RjpN/9sfOkn8pTKnS0dyHAOY9zAWOSHG4dsNg24JwliniZYUuCXsuJSOiwXS1574OP+fSz+2Ra8wff/hNEiNiq4u79h5xfTPHeMjs55l///r/i4/feYW9rRBMlvbJguaq7DG1wfHLCOuAN/vJaYgyMt8bcvnOHnX7yFXrnw88SiBA9bWM3rA0pJVpIYois6gYfBVlm6Jc5Riu8DyyWNW+/+Uq3ah+YLyussxghKXJDjJEnD5/w3/y//inEQLWcsY4Gn51NePvNr3Nte8Ts9ITzaY2Vmle/8BKP7t7n0w8/5Hf+6W8jtKTf7/HFN1/n1u4Wvm34l7//h8mQ7icIf37IGPwnAKH+/W6RRdvw8OSIH3z6MXprzM5wyM5ggIsRh6NykVnbdrKmBErpNdPFuc5fKhmHyy5gXMM1Qiru7O4wKAoGRcHJfMF33nmX3/mDP+Dew0dEAcPtrU2wiRAIIzs2SgI7Eiuky94X2XiLbQKZDtSRovMCCkk+CHrTFrTOiSRm3Z+8/xF/+uEn/NM//GO+8PKLvHTjgJ//wpu8ceOAQT+ZcFarOknJ1qncY/I2Y51FLUaCiptgK8Q1DNbp5mPySfEbtsDVEu/EPOvrX4ORAS7mS6z3DEd9Cik3Pj1r3ozsjl97QklxmSggdAGchE3QHgC6fj7sZ5sgdS2DCx0Ta2NuzhWwoQv61gGqyjKEiJjBAJWl/tQ6hxApS2VwLdYFWms3TK2/jLxgQ2JUBVJWuzVAjbjqO9QxLMTa/PiHz6Nk0uA3LmUG/OJrL/Fb3/wFvvbFN2mqmsePn/FLv/ANdra3GPZ7LJdVusaYJhsCIIbnLlUogQjJH0tKQQggYhJMSRGSb4ZS6fpDR+GPIIO8BKI6cGjTvzcBPrSddLppGvIs28isr97zukWt23jsfqvNrstg/nng7kqA/7mAf7N/ffaYgAa6v+MVllFce3vFNTvxhws/AUQaYzT9suy+U/zQdVwCqpfta31dnZIULVNWziwzaCHJlMaYDKMNRqUAZe2DpoTa9B8RI0pItEixgOww1o207G9geP1RrNi/wklS+dL16a5TaJnM4CWCINZt0LOWC4ZNPaYPbNoI63Eowlp2TXoEbpiNMX02bo7v9iGuOPvHDZsxIAkiseQ8AaEux+R1/SRJrtjMN9ZtQ2m95uelc/0ImV7a77tFt873L8SNf+QGqP138BwNd4cs6VOLgjH3GDSO4XKK/JJGnbSUT0/Zb2oyEdEIHv3bIwa2z4G7gbOP6JkhPXONz166y+3wCa/820dE9/d5nPe4r6a89+nvocQRurrgvf+b4snJEdniKR/frTn9zp/z+9+64Ouvv0XejnnNGh6Z77Eqe3zYv4P5l99nYmtOXUMdIjMVcVnkBx8MufbGNr/0v7/JK72cx3fP+J3feSeZHTeSi8enHM1rRBCYZc4D9RbBC1x1wgsHf4YaacLZgPzmOdO64I+OX+Mf/e1X2dLnfDr6bc5d5NlMcvLE88rLllycM/2vvsX/4f/zKY1QqOmEpagA+M4/idz4Xx3Sf+0ao6bh4e0SGyQv7TTc+/anPPv0j/n4e48524ftgzH/m1/4Bv3xiOnM8eC/fgc7uUesK2ok51la9Ir0nq+ksUJqyC6eUu82NEYj7m4ziYIlS7JVhcgyyBWHseY4jphJTVGUyLoBPGXZYl2fti4ZiwK3d8r5cMHFp7to7dDmhKd1RmRFntdUVY9rrWHXejQVkzhiKvfAn7FcrJhoz/1frNhpjtHf/gQ1qtnfH7B3bcgxipJIiWG2MmmFu7S0U0tYGaI9QB+25LakbEpknBPLipBJFsdDyjBkW4+5ds0hTAlqSGwrPr3/Md/7/rt85+FTpgOJvt3ni/cuoNjiqP9lGnFMJVtm+gk3ceRZyzPdstgdMKozXp3mzOOAtljQHn5K5a9jPajViv3jF2ltwUMl+ILdJe95msM+Zi5ZVgYbb/E7+Yf8zuwzBh9s8ysHe7y4P+aNNw4Zj17FZAPILDCFuAInQUUwFnYmkN0AMYKdDOpzCDMYSGjGpEwGFdQVRAuHHh4LWIYkJbchgVJbMUlNckcytnfQROjDs0+OqGaW7bc1fb9DrgvYB55JmANxArsGyjEsNSnNl4OVh16SgzIPUJDMypcN5E0yLCcnvVEAQ8gugADiDSjmkC+BayAa4ALISFK+MXAG1AhhMPkQqXKEjOhDh73jWIbInfltMg+1P+fx9YB9qlD3Fee+wsYC6wqyE0urW85UYCcc8iBozsOUQ+6zknCsNYPJPexK8+msIH5Fks0q9KMZ1+oalgPa6kU+NMc0ukDGMcMXloQmEM/goYdffvsO/+uf/zpf+OWvsZzOuffeJ/zs3/uH9Lf2UKYH4kGq13obep3RuB5BIxOwOJrA3ECt4CIAB2mxVk2R11ZgPTyQMMpSdkLtaZ3E1oKwaNi7uUTqyDKv2fcBpw3noyHydEasHfNhSzQ9goicxDnluSFHc2MngwuQTmL2tuBxpK08+WjJQnmUhB00K4aEqFF+gd2RBCm4cSxRbQ8pPb6sUZUmOI3pD+iZRJw4zzSl6qOU5WLLIlWGQeNuzpFLj6givQtF3VeEXLI/ViwrR72KLG8MMFODbMDtndGaQIiO3qyPGtTogeOl7evUjaR2lulQ4BrP0rZoSmKtoFHkcZti3pLNW+peTRtHWMZsVY/IqiXUDaI/JJMeM25ww0DGNjurA7K9Y4KECsV4PiQfR9SWZ7eK6FhAHEIlUBea4rigWuaMsVyTMx6sIj4ohFHcuVOxPMs5ejLks+EJCkkxyamrbca64mY+4dPxdYrWcn32GRNt03X2DojDKdq3BKnI5RY2GsTEEPUpVRWZvrtD9vqU2DjO7wfCm1OECITJAhteTGBRzDkig4XHf9ByiKTAIs7m3GRJKxXHjw1tXTGjx0Ozz9tcUMY5reyj3S5O7jLJV7hwQYw1StcMp0sQlovdgrq+AC8oeRGXneLkGdUgUrYOExQrfUxvIMgs7E4joVzijEWFgqUMWKGRusfu0lNaS701YcIOlc+4c3rM7lhgC5juaSqxpBEVMs4Q5oAgR7RhSiWHtGKECopipTANPN15wNj3Gfod+naBNwOC2aUvWlaqpBaWJl+xKKdUcsk1VVK2BbnNyGXAyy0qFcjLJSs1Ya7mFM1b1LIC9eTHzpN+KlDqKrtgvYq+YWiw4VdcLq6u2RdCb95FgI/QOk9d18Tg8Urx7rvvJUApBE4nF9Rt20nPPG3TMJlOaduGVVURQsRolcxY/RUfiBC670yr6cZo8iyjbirObcV8WaXAZU3Hv+KREmOgbVrWQZ5tGqJ3eGexLoENrm548uwkBXhKXzJUlOg8bgA81tq0UiwVg14PBFTVivPJBU3TMDmfUrWOKCXuGcymF1SrFU3bImwKgk7Ozrhz4zq9QY/tUY/KLWi9/ZEigr/M5PavOpH+Kxvn/tB5km9LbS3LpsGeT2ibhqquGPZ7FMZQZMmg9qpc6DIIiF3AJBAxbF5LITBKkRnDqMxTABUC73z4AR9+9inH5+dIk2Q5yiT6tiAFv+uscLJj8Fy2CbqgfB1w0dEYu3Lo4mAhQUm9OV542QEaAUkAk4LFxnk+e/KM89mck4spn71wh+u727xwcMC4LDBZBj4kE/QOYOritnVstgn0Lvk9G3EVyQtHdh3tCqsh/nCdiRiJEoqywISA0SatdK4Db9asQi5BG7n2T0o+W+vMV0rKzd9aKaIQuBB4dD5F6ZSyvSwK8iyjUEkCuPaLYV2ya3Co+x1jRJrEQpHGJIN5wIaAlioxFbgayP64dtcVokj3/kONcn1fXJ53fVnPMXUgSSKkYtjP+fVf+DpffvN1vvmzP8P13W2cc9y5eTNJdk2W/G26cn0eGJZphTt2RusxTUKE6OScMiL8GnBZMzRC1+YS7yQp8NJYlcoyAdWpJVxmD4WIdSkDauscRiuUSiyjz0v0iAmQCMgfooL8SOkTVw+Lz5XV5zf/PJepO5Dumtevr7zoEJ71Z9IpL/vihokLXA4WzwNRV18LAf2ywBjDqF9u9itt0iKETACV6mSjm660Zu51p79kCIkNQ+/5y/+b5Er99NtG2t3138IYjFZoqQhabUA/HyTedxK+LgvpZV8RcLWc1udevx/Vc/s37FCuZpV8HlBN0tT05oZFRQLfAxEfO4ZevNIW6cgC3SbQOJ8SoCyWC7z3+JD+jms/vnBZg2ksT8w71WUGlVqh0M8BsZ8Hsv4qW6YD0CCFJ0SFqz3t8Qqx7/FWJgbmKGK9ZrXS9PstwcBJdMStHBEMwsFARSKeIxrOmkf01BAlC/6Hf/W7tO2K2Ex59ARsdcqOa5mzpLmomX/kaNUnuJNTZHxK4Rw2WhZ+np49XiCdAOtopUKEHjs3DtkdFQwft5zNWhbPluxcBEzPYYVgHsCrkCRNdYkZLcnw5H6Kko7aSh48XjHfbqlsxC2f8tE70BtV3N4zPPg0UE00QzvkfDpHEdBLg7E1PgtUQ8tbL+7SQ7P41FFMGpZ3l9x9Bs9CS8wC+AvOn50zm0w57tWoGUQU701O+MKNIb1hxuHrkaqG2gbEzhQna0L0qLkiFBAkMO0R5BL0CktJdA6JpYhpUcDpiCq3cCJ5/c1bh2RFL7SEGnIvyIVg6C0z0VCZSKCl9g2+8gRUCqiJNK1CqYiUAWNampBxHgw9VrQqEKWjtQNcodADR3bcYG+sOG+WzOszlmc1VeMwZQ69EaocsWMEa2m2Hy7Ss0KlJCI6yzF5DuWYmFuitMixwcQcI0tUFruEB4r377/Lu58e8d27krbfJy8Fmc+YjT1SZ0CBNsmQeiQDrZdE0WPINkI2VFmDG3iy+RhvChZDQxlABE2v2mexe46MBftxj+lsF5k3SFUTsjEuZok939NENPpkxLvB8WwxYbJYMD6UbA0H3BkJ+sMBWokk1ev88NAGaCA6iEnKhAoJtLId0zKXkHmE7zLWGaAvUjAqdFpFsVnK9KYC5C0JJBKAY9Dvk+MpclChe2hMTQJCREj+Rx0wT2kSmCIi+AayAUlit0r6cWVAlKAKfHDMjk7QvQZdtBRmGyG3QWyl84k+iRHlgYxE81r/SKBM+2Oy+xDdWFdNzjFiwE7s4/IWlysCgvaTQLUURAVyT5KtBMVCsCwtQgYMMNMLVi6j9ZKFkeR4dr2HXo8sU+S5Ipg5TS9gdyXlKUjtKMoVXliGdaTwguO5wBvBtf3A3/nmN/nKm1/g9a98nZ0b2wx2HFn/FXpbW+g8IwFzvfQ8yHxXLxLQoKtU3nIL9CQ9AESRmFQiILIi1ZdWCZRsK0K0uCJgvEYrwDv0Kk9l4CR5ITAGhtFS+pSAR4zhPBpc67ETgWk8Skdqo+j1DUoovAwM+hFvBG3RZ9C0RA9tUyJyiTSeYEArl4hthaDJCyKSvEokiJALTFmha4GsBUXpcL2IVyKxZWRKGlbLfkeCi4jcIsqANBFZQSbXi2lFYnzJAHGMampksOS7Dq81Lhik9ohMIZQmFy0GgYkauUqqhZiLJPutA9FaGDuKSpBXhtHwAFFNkasF43yMkhGhAs1ui/Ea0wrUCpSOCO3IRzW+lMyUSErULnOiHAKZwTZ9tG6xQTAJOWLhkLVAKM9SSmztKfQC3y3EihDoxxmFs0QCpV5ACMy0JPZ2kU6j2nkCbnJFUYzR5zUuNGhh8F4TY0BJS3k2onQtwzjHLPpUmWNWrhjuXEAFzUVLQw5EMunRwRKUZNbfRjEnOIuuA1Ellu31FgZ7UMSIOg1MC4tSMIyRVRDEaDCiRyEB3yAuWha5wmtFgUe1ioihKQVBNwgvyKsCowLKC7TPEVJgjCIYSd56grOIYMhURCpBL9si+BIbNbY3QhqHUZFCpazlRYTWFSmbnmjwEjIiRkCjFTLPUEqzG2/g1IqZXNLYloYV1mpyUSCrBT23xKlhko3LGRdhnOxMYkPR1PTKgh2dU+glXgo8AwbziqwM5L3ix86TfmJQKm5WJtdBUNrn/dU5+eXqtepWLddyndittkop8CESfAKbJAGU4rNP729SPvsQ0uRQpUDMeUfdNMwWc7xLAZkxCucDrXXIK6vvUkqUTsHGsN9HCMFyseCibWnrdpMOHjqGRHcfce091Z3DO4t3lrpepyJP3liPHx9hMsNw1NsEx1JJovMdkywFhlIKMmMYDIZIAbapOD45QSrN+awhNxIpYTqfUVc11nWsrRhxrePps2Pqt9+iPywZDUqOZyti/eMBpn8XrKi/KBhdl9mP23/lACBig+uAKcd8VVHVFfPVgsNr1xj2+yit2eqCRgQdMyrJtJQS5MZQmoxCisTAJqJlkoZmSiGFYFU3nC8W/Nk77/DJo8dMl0uGwyFSai41emIDaMmOvRNZg6pJQsWa/SCSZ02IqU1chsPJ40nGDuyIaQ7jfejuN5DpjBCTR9Hx+QVPT894/9597j495sWbh3ztS/Dm7ZuMyoJC65ThLSb/o/U3bTJI0QExl5DvBpZM+NH63iJrnxaxZq+sZSjdTYkIvV5iKSgpN/e6YS+t96/rtKNOCARSqQ5EESilWRvCG2NYtS3zpuWjp0cYYyiKjN3tbXYHA3SmKbMkZfPBbybN6/rY+EmFgNQ6XVMn34RkbJ6AMHUJxokuj9tP0tQjl/d/Zbe48nPZVtM3XB0fhBAEH+gXBYe7u/zj3/p1vvj6a7z+ystUdQ2AUpL5bIlzDms9SmmkugTG1oGtD34TUPuOxZVkfZ4QwHdMlBgjIULw6TdSdFWbgMUQRcf8eu42k0QjRiIBKdMYeilJBK3lpjUltlX32SA2crurzKdwhe1yWUydf9kVwsqV6rwsUSESEMoVSeHnAYzP7d/IKp877GpNXQJq4rn3rgJRV/4mScFGXUbOTXtfS/CExAZ3eV5xWfeXPfHyMiIpHAjP7+ayIf77B6c+D7z9JJLTH7XFGJMUsgP2tVJoKQlKEmNiGyk8ngSSxhASvbtjHl6KQK90rBgT45B1dxKb79q8Hy8lxX7Thdfj1vqYy0WJCJ0vWsQTr7x/yTyMVxqMQOJ8i3WO84sJrbU4l+YPsWNEpT6WjtdGkpuMPMvp9XopQYYWaH0JSq37wV/32WpyB8Klluw1tnZUy5qQS1ybgkPGUC8086rgznjJVDccywZ5OCZUGXEaeTFClPBIBm41j9nJRgzMgD/6o/eYzRTRDVGhYRRXbEXPw6JCVA2r+4EH5gNGk1MOxBNyF6mcJbQTQplRqUgQnixGXMxRbsThi4fsFAH98RkPP6pYzRdsLQXqhcAyg6kPCUxHYl1Baab0VM1YXyAUrCzcO4aZFLQhEJZP+OB7F+xdg5f/tuHjuaedFdwyu9xfRXxwXHMFvVChlGO+7XjzrW12RcHdkynm6YL5ceD7n2Qs+w1qFEBOCGczVssV0z3B4RMwF44/e/qEg7dvcn3c5/qbnqP7MJlHxO4MLyKxFeiZwpcBrxTxrETEcxAWFw9wdoUMLUMcTgVCJmC8nVKt28C0rcmpKIOnrgpMEBRKULqINw1eWQKSxjXYkBbX1jiutQohPEoHsqyhbgesQoGNU7x0RG1p/G0oDXJoMc9a7KzmIq541E5YNY5mEri906fYGeBNn6HQCKEQSChtN0vXCHpInSELA6znvwG2/cbrtQ2C6Bw+VLxz93t8767jB4/7vPzqiDyLaKc533LkZAyjQqlAXzquS8dTkRFixsBvg3hGrVvOhpaD8+u0eY/FWKGYUXhDr73G/PB7lDrn0O7wQIxxckVp5jRljtQZhQ4M+z1Eo+mtdvhEXHBvNmPy+JzhpOZwr0d+w3Cg36AsBxgpSTRXmUAomgQIeZtApfWinQ0QUoZukQdwARqdMJCcBBZhIBpoyyQRzNsEblFA0FBVjMYZ9IDCpu/1wEVGksEE6GUgmpTme6DA9Drk/DgZcccS1KzzvcpB5rRB0dSO47sfku8Ziq0eYXCI1NtIWaDkM6QskWJIkrStTTsFl6DUgARM6XTvXZbq+ck5fZ+z5XLsrSU2F/hcE84CtVXYQjDcl2RnCZjypUMSyDzM9BwXcoTPWWpFESM70VP1+vSFYNwPNHHCLNO0uwXZQmByS9ya01hHH8du1fJeXdIbCF66o/hf/Nrf5darX2H40leAE8zI0L+2Bdzj8lk6BGXTD1m6JxToeaojtkClzOwU21A/uzRA9yZNIvIhPKmIweEKTx56SCORIsC8xFmJxRBHAm0cQ7tIiWeUJo4l01aDF8R5Ikd4A7WO9PsKJTQ1Lb0eUEgmWY/SS6KHs3aALiqkdiAERnoUEVUq5jrDhYz+RUSVAlEETH+OqhXSCooQqEuFzyR50GRSgAIX+qAUKovo4RydWaLwsJAYI9FGIERGo2qs9hBHqCYivcPctviqwNU5XluiNAghKYOnQJLHHCpB6AtCLmi0gWAJQRHHnkJKyijJ9vdwtSZUikM9QkSJE5Gz3QWmqhDzgFwJZBbRRUBtV9TaMIua3kChVUheSANByAzOl5S9BusES5tTLhRaBpCOWTSoaCnNgiYkIC8i6LHAhEhrBb1mQS0UFyonltuopiHjDC8lsijJswHy/BzpA9pk1HGAFIJMryjOdhhEy55qUPMesm+Zbyv6+Rwx86iJxwIoQZZ5RNviTMFsa5fgKlRt6c9b3KBEZ5rrNtIfSDIkxXGk0jVBRfaawDSAj4ZcbCPVHHxLPrXIaxpnNAZHsdRIL/GZZK5XBAKDakDMXJrVxAFaOTARnwt06xC2JYaMxgiilvTyEaoxtFFSDUZkqkbJQKlKZPT46FiGHiYGJDVRBArpUN3EVxYGEQp27R6P9V3O5YwswNI5Gi/YDtfJVjN0vaApx0SzRKglR5UgZC3aNJhqjlY7DLICLZdIUaBDn+F8TiFLmk7t8JdtPxVTqswziiKjqtKkb02bXwdaSssOFNLcuX2Ttm5YLpas6jatdkbwbSDlOgoszo+ZRmh8RGeG7Z0xO1tD7j94TGMd3qcsQO2qZrFMAaDWijzL0iq8SIBQ8Jfr18P+IJkKi+QLZa1leXrGbLnqgimB91fX4y/HwUtPEoHJ0mqHdQ7nuoahkg+Stw0XZxXeBwb9Pq+++jLEyGKx5JPP7pGXBiEEzjnOJueJbdF6jk8nyQdLQttKTJazdX2fwiypVhWr1QVSSXwMTM4u+Dd/8G8oi5xVVVO7eBkx/QXbXzVA+fe5RRK4ISUoJchkRm1bZqsF5xczjNJkWjMa9LuVaknT1JsIUSvFeDjk2vY2f+vlOwzLkl6Ws1gteXpyyt1Hj/j2ux9wfHbO0dk5j4+fEhFsb+8QuQw+QVyCDd01ITqGEwFiAKkuw90uwBZxzahbM1PCBvyRcp25r5twIlDIZM4eIjp68jzvAE/Hw+MjHh0f8a133uW1O3d4+dZNfvVrX+Wl/WuMjcE3DU3dJGmsd8+xxdYtdm0ATAcerFvxpTcVG6RgDTKsmU+IS7+sDQOqKxG5fr1hj7EBthAQpSB0TCqPxJgcpODx7IJ/9sff4dvvf8jDZ8eJKWU0vaLk+t4eB3u7fONLb/PqrUNuXttjmBU0TZvYhEptyjl4T5Qm3WfTEl3i2VhnNzFvaQxaJ7PpnwiQ+svaZVxbfl+OBVdPmUyyI633fPnVV/jVb3yN//wf/QNef/FFBILJbLEBzqJzKKNROo0ZwYcrQfWlF44KirVPjgxJKpyyKcou+FUdI2MNYqlNhso1C0pEkslijMSorhhTc5nNMkZykwOCg73dTZtZN6XYAXub+16zVrrXmyB/UyBJonqJPTzv3fRcsN699FfKtiOsPVe28MPed+tW7jesRUif7LIDsmbu0ZHdxOb5c3W72rLTQoHfgJupTaeVlIjYZJ0UgjQB3QwXV/tN6geJTaU28rNLnt3/f21rgGW9aBRIbNaN5DZcJlS4lLxdze4ncPFyAee5R2lYt6kE+F/dNoAUbFhQGwCrA5lF11bWcr/NqNuNE+sFKBEuQTGlFS4EGmt5+PQJj58+5fT8nNOzsyQJj2mxaD0uJhlxes4HXJcVWJJnOWVRUJYl29vbjAZDhoMhRZF3c4O/XrnX12uKTFAo2PsI5iimWY/m4TZxZwk3ZjzxEK5L5CsFv/pzrzJzLfcvKo7+SDObRha1ZfgGnE8KHj3p8ei85jEXrNyK2d5tXn55zC+Mh3zv0Ts8Owm8/7RPHER67Rn94+/AcglZi74G0yPPauRRdyLxox4hrlj1zrGv/wK93HNHHPG1a56L1vFH0xY/fYxvPG1RwAnkxnOz12JXUImai+tPCGeBRQ6nrwr69wKilbi8gGfQCwWjeo95eMjsWc2D/yecFX0OX9niN//xz7I68jx5cMI//90/xN66DRLyz+7zvriPFHD/kebJgyNGMXJNSoIN5Ht7vPXmP+S4PyNMZ+QPck72BCcasj885r+3x+wfbrOvc85lwRmB8NEW4uYEka/IqxVeSGIhyYpzWERYKhBntKYhmIjtWVq7hV/mhMXFBtBckVHRIxPwYnPOyXbguFDIJ3fYtmfsuyV1tsesgFgs2bs4xm9p/EjDE0teWEzuWE4LtoWlFHBaFB0oH/H+HOEUwWU8y3qYHrBdYRY3uBALpjzk8WkLpx9D7FPomyn7dSZh6okiEJRngGT/YJsbL+xRcgOxATEki8UDTs7f5zuPz5gvK1bLFX+6UjR5j52XCqrdjJUEFwxaDNARdDgjPHmF3MD1kaM2K2ZeM20aRv0tpHJo1fLshTMUFSPmrLIBSlsOe/cZhBex3nNUPOLweg8bJCfs0Ducgctx7R65fQN0wL/pKUxFjDUXreDeyZwPTmd89HjBS5894qXdLf7OG6/C4FXQBQldmoKwYFqoxinjXjuDvA9kiLMGxk2SAMocFqtElRtdBxYQHdgWjAJMGv/bDJwGKrglO5ApJs2zi9A0sDWG3EAzYW2xQCWhsclnRNyEYgl6kR4y4jbEMZz/Gf/i06d89+4R+e99H33wAnH/Osd7H7BXbrFfDvm5/YyDm2+ws/cCsEMyvLIkIGqerot9QBNlTXXDYEcKH+H9uqU3V5SzAS83Dv+qwO3C3kuKvi+xDHhy/4Kzuo8PQ/R5Q+FbCmuZ5zBSKwZizikZp9uGo92C7P6cgzYwCJ4Trai2e7hrI9zhgjBztA88D5sByECvCPz9f/xr/OLPf4m/93e+Tq94PcVonANtN8JPu+tfAafdfekr9+iAWfesaUA8hHzUjawXoNagYQFxmZhTdQuHI6T2lMKlMltJmI/gliATgWtLgaAieocLinjL4JSnDjWHfc3tUQ55xkx6rIe40HgVkSKyvSi4aBta4TH5inoflJe89sTzbFvgTM715R6n2Zw6OMaVQssaLSu2txXPTE2debbHA1ZDqKwkzIbs4ym0Z9n3zKpIZSNsrYjDNAcbqxK5UsTWsxhK6OeIQqDliq2eRtiSSZay5imvWbmM2nicXuGjZjifMp4L6myM3xqwHEv6i2NqKamB3skJLUNafT0BV6Eid3P04wuM0cQs56kpwWYIp9lyASdbTso5RW8XpQu0yXl6cQTBoqJkwS5yOCQvC8LDQ+LiFLZWDPa2aeQSF6Y09+6gyiVq/5R2eohqWkIzp8oEsS2hGtCgiLGBsGC8GhKEJqDInp5S+Jph0/Lk0TZV31Jf+wyxFYirjDDNkS9bfBNZPjQ0UlCLMRmHPBi8T91bgYocc5NSRXbFBFcEXLdGP8kyssxwUzgulgbbgu2De8NTvQUne0P8xYJSNJSHSxY+4ttIvgp43SNEwdI+RagAWYaoDzHyiKhqJmKE2QkYC+VFRjnUSG0xgwWoghAkq3aGNokd2Z5Zos1xMuP+To/rVjEIgdqeMdfglGJUD7He0tiI8hrFOVmoeWlxA6lqpKoxxTkTpamR3HgaqYfQFIFZe8bHFxc8ulgw+OffxW052lLz5z/4Mucy0mjL18y/5WK3z1mvx733v8/rhzNevLHk/PYA2z6AueEwu0ZR5vRyw+jaAJNVZLL+sfOknwqU8sEnqdFGJgJFnrP2J6mbBiEEWknqVU1d16yqikhaiRdKdkFmktnVLpBSwyu8CxR5wcH+dS7OJyxWNXWTVhWVkmQ6ARY+BFrn6PVKBMnbqqqbzoxUYK1DuBRknZ1P0spujF2QncCIGOJGinS5dUav3QTZuxSmhRDJsyx9Lkac84gYE224m9wvqpphv4fOTGKTrP91wNRlcJUAjiwzeOs3DK2qbqhbS7/fx3m3MY23ziEaQd3abt86gP7/Uvdnv7Ztd34f9hnd7Fa7u7NPe8+95GWxLUqllFiSSqEs27EVxzHixEkQwMiT48B5CIIA+SvyEAQJ/BIgMBBED5EQODZsJymp1FhVoqpKqioWm8tL3va0u1/t7EaXhzHX2vtckkUWKcvxvNj3rDXX7Ofoft/x/X5/P//o+L9OP6k4BH5KJOkd3hGkHoISQdNZ6miByGJT7wf93vskcRrYdmfXC56/PmNb18xGJeMi59PnL3l1fsEnr17x6esL6ralaTsQesicpVOQAxADQmnSm9mZN9+dXd/Z8t6yPPbch30a8vT+bpk+kcGBCbGXg96+4+QPNEheYkgSPzEwTaLg5eUlbd9jfeBLbz/h3nzGw4M5VZZjsoxCQvQpKHSDvI9dlr7wpj/RXQBkBxAPvwyAwC0T5c5ed4L35Km0u/c9gpXQO4RIM/NCysFQRyKMpneOb33nPd779Dmvb5ZIncxMexeIXc/rqxvWTUvb93z44iWP753wa1/6EgfjMaPReMi2uPOdkkSpCN4NhvAOGBgVISC8xyPpg6fdVamfY/lpNeWzQNS+Vg3PzxE5mM158vAB/+O/8a/xtS9+gSePHyGUTgwnne3bvRj9ID0awML0UvZZEvePcwcI7v167gAr3GW/DFe4K4c71skAHu22TYNidgQ9iAk0jHfLtmDvPbW/mDtNyM4jcI8D3fm8u/AEQsGOI/TTWx+xu8x9e7v/PBz87r63mUHvHkLcsnB2wPBQz+Kds4v45vPal+3dfYnb8+/qxf46xEA1ESS0QzAYKrF7KJ9hoQ2Mmd0DvcVD2DHbdj/9V73smGx3y82ftY2/O3kRYmTbtCipMErtTfHvyud2/945wmeOJd5cuwM+B7nfG8/yDjC1A9Fv267b9xQGyR7DtjsAawe67oH3ENmslizXK9bbDa/PLliuVmzrZg/Us2sDd/XsTlst4wB4hoi1qZ/tup6u61iWS8qipCrLgfH9yy16q6FNVinXpcNbj3GSp8eniFOLP9ny0Z+8ZpZlnEbDx88q1sFxUbdctwLrPVE4zuopdJ57ouVFljFrC+brKcJrRrOcR0/nPH85Yi0iKuuYN45Z6Tl+x5MLqHvFea0Zf2HEVBpUn/PxkYAWxjX05yuECdR6y4fhGb3JyLIKpWfEvid4z4WF2hmiHxNmAhctuqkTYBtBrAQuRrSA0jpOZE6MketwjVURR0boM/zEs/Ebvv3Bcx5O7qEqRUZPtrgiSoPXh1z31xAtLkjaAGVhOHhyyGS7IMsC6sWW8yvHVSv43NGIG1lTd4FtM2bz8py8TSCA23q0sYhpg2xz9FYxZkW/KnGNRtuaoDVBKJyrEE1EWztIpi0iRGY09FJhpbxtg0XkSnl6L5GtQugtPYENisY6lAhMjUAQsFuF9YZD1xJaT+gjM+eISGoN1k8RskPKHnCwlXABs7cuGPtDsu4eIga6YOmixKDBQ3CORnXQLYhqi13fQyrQxpHjWJ1FNo1nkjls1tNkW9Sq4PXyio8ub3j1oqYRDW1eI5qjpJrKa47qAzpTs8xXGDHBErlSjrEG0DzrNXXWIXRkFi1SbtBOU64r1hi0KhjnFRmRIkqE12y1pZOOPgq8LEAoRAw4r8mFYSYjVzoSlCM3DQ+jIYqMUGyQvcEDVwj6zZJrF3Fuw8PDc+bjnPsHFllqpJoCR2CyZB6uAugRAp0MyM1hMslmA9ls6DCSdxlCgY6JbRVjyt7nSwgGzCq1dx5AgktZs6h6IAOvIdu1VhLUCERPkhcWoIbP5hhkQe8sH35o+dGZ55NGcPzokIkU6M2W7UGGuVkTr7b8ve2E+80HPFgt+cY776BkhaBkJ+EfTJfYDQjitcdbhysds0xSHFjMdMvCqyT86wM3S01rA0G05CNPqWqk9vS9xRtPXZF873RkpCKvgwXnKVYS7wTrEHmBoJ16qqzloIOr6xLfgO8Fync8Ob3P17/yJf473/zrvPuFt5lMnqbrFKTnwcBUFn26jwgJWJyQHrIk0dIaiLvvQ0++UwlEDaompU53iYFmJGD3w9iU0aUcOhMPOiJkQMgeMkMMClyLjAJjM9gYTKFRMsLIUciUGVXqCte3QCDmYNYSFUEXBi8dHsF2ZCiUJcZA00dCViGUx9CgpCVkkTg3IHQq+66ksh2FDbjOonqJk4p6ZomjHOMV2cbih3tXfcQKgxMgZY1VgSgiagWN9oQ8EGRMiYNChhKGPHoMAS0ERqS4SuR5Au+2FlUFJB4ZBpm5tpB16G3AB0ldjBC2RrkMHTIEa4STCCfpFj1oiZAVW1mSaw0mMjFjeq/oY4aXS4IivbODFnILbaTwG4K3YCXHcYnrLe1KcbBd44ymnU9R2y1gEaZmPo203rKsW0ovcELTCwXRoyLkJBNvuki+CPgsmYPX2hP6McY6SrGiEJ5SB2TmkA0IlxObEUUf0Z2jHsh20QT8KDBaTFBW02w3WF/iydCiZn4xYXResehr0J5SSaahQDQS1Qc6tkTjCCLS44hoCCmDc/CpWI+dR5QCIQLRrSAUWDKWRWDcObTroYqJESUjKInXib0bhYC+xruem4lD9xrtoY010ndoTzJBV+CVIFYSHw1RBDKVmFEmSJb6kvaVY7PRfL9vuFxf0G2vGR/krCYla5MRZh6KDJUZ7PWUciO411m60TWiz7m6OKGf5mwuLW1vseIlxamhOs64vxyTJX/+nz1O+rMMqtxeohb3g9EsyzBGI5WgtxY5FPjNZrsHpYqiQKrkQdPfkbd1PqK1xGiDaxuyLOP05IRXz58RQ8C55CdTFIZpVSClZF03bBdrqjxHSYmzjt5aCBEpJLa3KdNfjDR1k/xt8gyt5CCFkYOptUjZ9fb3AjH6/exuSg+fBr/lpEApibM9dUjrtBqCxBC4WW3I8owIqBQVps9KYfvEeFFKpWejNFmW0YaeKATeebZ1S987Dg9mbLc1zqW0o4jEmrLO7f14BuLLT13uBrj/VQBSf7ZjJjNrCQgfiL3FZsN7EJLeWaxz6W8AO0MIA7NKolSibHrb4/ue19c3TEcl4zLju997n/PLxI4KJFPbTGsyU9wyiKLbgwRvGCFz5zmxk2wN723Hrx9+3TOLdv8bpC27/nO/5RuBYiQikfg0QIhyn00wXVdksd5wvVzzyesLXl5e8fTBKb/+5S/w+PiEiTGUZY6IgegDXWcTU2GY7d/5uN1lUt1l5dx9TyLeghQpSEz/hei55UclwCzF50Ogv2eHpM9SxgGUSlkuUYqmbfndb3+Pj88vWDcd9w4PhwyWDiEU67phsd7w6avXvDefcf/kmHw85ctvP2U0naKsxYUEtonAAEp52q7DJTrjHpRCpAnPzqWksQzvM8Yfl5j9vMtnS/LuzUUiSmc8enCfb37j1/mf/dv/FkcHc6SSbLc1IDB5MYBOIfkxcQsyi3gLBkY/wCXy7gmHZ3sHYNqDKsM/AydvCMYTGBoFtxn8uAucDJLGPSi6G0/fbat54zmFeIfF8lPr9JvA7ZvgQ/ypuwkx1KMd6LbbKSYD7R0QIe4AdXGPGiUI6vaa5f6+dn3O7rx7UGqoiUnWOVyfiPvf3gRmdxcZ2Bnv737YAyh37msPmuyYZvtskXfe2+7VxZ9s+v7/j8uuzYsx0rQ9RhuCGeQCwwbhM8DU7oed/JPd+jfAMfHGdjtG2+6Yu3CNO+3VXqZ8p0Dd9ZsKd/bbedPF4XjOOV5fXvLq7DXXN9fc3CzwqYPZZ/D88XvfyQ93kxGRJOOO9F1PGzvWm/WQ6VEzKqtb1ugvseh1hgAckdXEU4bApHW8e3yEeahxp5YX39pwWEvedpoffiBZC0ftNyz6iBKezDjON6cc2i33szUf5ALTT3na3Udsbyje1hw/nnEoJ1wJS25qHvjIyThw/wuBBz7nh2eS711HvvQrh8xbzeRDycsji1gFDpeKxdkNVnpqs+W97Q3Z/IDy4efJikO0a9G2Zkmg9Rl1NyaOI8I35DeWqIEoyFaDV43wTG3L5/SYHrhkgcpLQjBstznkV6z7JX/wxx/xl3+tQghLES3Z1QVBV6yP3mbtV4RhksIqja0q1Dv3Ga8cWSeJz5ecXVpunOTPv11hrluum8AilPQ3F9StonUPcY3HmB5xXCOfz9CrgkpuWGxKYjTosMIJQZAaZ0vy1qHMrr3tkPQcip51pmmNSl6AQ7tzYSB3GtMliVGPoIuaprccxcBUQBvBbjTdJmNmNmy7QBsiMxxLLdgqge+OUBqisCmn0wZoYfboFaP+HkXTEFRL9ArnDFanLHLRqmSR0K+o4zlNOyfTkjw6BDWLrWXxvGEyWrIZLbgZn5O9POaTm57vXdfkryJhGrAPAkdtDrLH65qD+pRt7qizmkxGrISN8DzOLdZLnjlDJiKFjEyFo9E3mG7EaHFIRKAKyUQKCpbIKPFhxDp7RicdISrWFGgUY+mwUZIHyYEIXBlH1B2FXDNuc4L0LErPtDA0UfIiy7hul7zc1Lx+1fDnT1/w9NAwiob88B4yLxHyAGMi0lhSb1oBCoqOW/bNBrJ5arfEMwg5CUxy0O8G8gWEKjFxMpMy8nkSeOWnQAnlCqyBXsBk6MtQkE1JhuSWJDvL03rzmBBbum7Dn3zU8XEtOHclxefuU171ZHWHVDPscsVi3fAHW7i3XfHW8hlffZCRm0dIWWJkNzRLhn3bG4CLHt9ZfO6YGEM+6hDZkuWrKaUH0wSuFoq280hqjh5aSmPJ1ZarOrKuYDsXnF45JlpQZALfO7I+MmkEK1+wlYJaSfrDlqPoedx2/JOrA1qffLkejDq+9vYj/q1v/qt88ze/STWdDfdfc+uB1Q3vwTGkHh7Wj4bORQ73ZgdgT3O3j0n75CAWabxPC2qSwA9dp+39MHbxJTgPcT0oHn3K3phX4COiblFeIpwhW+XQeWLuYA5GCoxQ6LJks7QpLpsLjBMIrzBFQe06nIT1WDOVoFxg0UX8uEDKiJZblPHEPOLHChFAekG0JUXtUV1H33XYPqeTko305IWmCAX5taYhwwWJ3G5wo5yukGS6JgqPiwG/0jQzT19AFgUBTUSihULHRAwQMfknkmliaaBtEO0aeZBAHW0jWkdi3kMeMVvospKuKAghkDtDbjVK3CBDkm43iwJTjTCjMdtYEoRHG8csG7EJhs5rvLkkGgWiQBxtEUWPaCKZ3dAFSWw0B9zQWEm3MsybNfXBhO3hnHy9hWjBWI4POlZ9YBUDle2xUbEVg2ewkBgBEyLawmgp6Q8jWxGxxtM3Bca1zFXLTDik6gl5QDUavc1x4pCyXQE9dZ7G9VEL7NSTLSpEF1lyTa+OQEVU2DK7GDM6K1m3NUwUvVBIVyAbA87TCYvSliA9PY4QB883lbxktY0cbnusUQQZiH5F9AYbCy6LEbq+pnQtcaroZRpvFirHFz1OeUwA0W3xtuFmpjnuc7JOsSq2jJxFO4mQnq0WNFoSM+i8IgTDVOZoV2Kc5DpraV5vWX0S+H5wiM0FmV/AV6bUWc5NNMweBMqRRpqCuImMbY2xNfJkwXrzhJub+5QrQX+1Yn3V04bXmNpQ+YxHlzmFkOifY27vz5x9b5+FhzRG29Y186M5s6NDDmcTrm+WXFwvmE1GKAVZJultm2TZMc16i72fTfJp8tYRvENJSVWOmI2nbOue1m748ucfcnp8yMOTI569PieeXXJ2veJwPifTGttbbtabFJxKhpTvaSAsSWnYm6alKDR5UTIeH1BoSQiOpmu5WayTRC9ETCaT5xQC61KAkRnNvdOTBDoFKMuC9XrDD977YTqP9bT9Gddn5yCGTFPeJVDFKLxUw4BeYX2gsz3rbc2oKimUwnddyqwXHJvNhkhAaYHOdJopDjAaFXjn3zB1/2/CEiJEH2msZbnecHF5xTIvkUrtPY2MMRhjCPmt5MmTJCQ+BrxzNE3N5uaaj370fpoXUgqlM6RSjCaT28B3OKcUCaSy223qtpTe62Zj+Ayqtw+Y4m2asLs/ic9st1t26OCwfs+8E5LYN/i+oV1fUx0/QuqcgEuzMwNzbzQ7GIBXy/c//Ij3P/qYf/QHf8h8PuFgNuFXnr7FV995h3sHB9w7OGCcZckw3PYQbtOfW2txg1dK8O42YBuuUQiBlppbU//hnmLED4CJNmaYdErXJgf2os4MYch+uJNsSSmZjkd89OoV73/6KT94/hyTlRwfHKVnrzS50mht9kbpMaZshc9enfMf/s2/zVe/+C5f+5V3+Xf+lX8pGVErxWazQUpJby1Xqy111w/vM+BianuUgMZBiClrYBB/Cp7yE5Y/FTCIYGNEK8Uoz/nf/vv/Ht/4xl/kN37zLyGtw1lL3/eovEhFIqQyEWOSeCbNRcoeiU7Z/vYARghE75ORZKJ7MIhG098dadGO+RTiDoMUw0SAvA3ad4y5PTA0QFcyEqOAnSH0HXRlt33gdl/gjon3/vRDhjMxBPe7KiAANYChyfyau78OyNN+D3H3VwZ/Mvbq1zd/TSDWTrbyBii0Z8YIQhDpoezubvcM1C1IaXeJCaIY/NEGTzT0Xpq3q7ZCxOFvAAkHAEVI+QZglcCvoW/4bF36r2nZg2T8AhMQYqg4AnKjuX8wIzcppXhv+wFI30n4bsvYDsjcJYi4vZiwv46770/JO/5SkPrHuAN/B7LBsH6HCO7uI8kC4+BLxtAvpHIkh/agd5a2a9ls1gigqiqkkPR98pGydyTQ6RJvAd3dv3twdldepUTFmOo0EJxnuVmz84r8ZZZmfMjBVjCt4dOmJY9bRrLl71695O13jvnS23P+F3/pHb7z7JzffXXGb5yccSMFz6NguZW4whKnDV+4esZmkvGDx1O+/tGGpn/Gt+ynUBbY2ZSLB0e8+9U5W9Pw3nrJr/+PvsGT8ZiHZFyeXJF97xz54TN+c/RVpvdL+rcd/+iP/j6LGXx8+A656xmvO07OOl7On9Boy/L5P6O7/y5PzVv8q8UT/uXTlp41N/UZP3jvjE1d041azpscMcqYvzPl6qKgMJZ3nlwxffqYYnTIO+Uph5eSF88u+Fv/8Ft0waO7wMxf8k/+s/+S3kacKHksLTHveHX6I+69mCHrimvWvGgyXraBj/7B9/kLjyuOiorNpuZoprDO8Hc/cHxB3+cgD7z4c8/ojo9ZjTKa8fs03wrYFyPC8wO03xDKnhfktNMlUUe665KZtWT9lmXccnAiMGPB808zssyhjaLo34KTa7LJluUnGTMxItclzYFGrFbEbU3bpgxqQmjK8hp97RGXkSmCFs9GWn74DkQlkF4w+hAKm2FsSc8la5vT2DlHvKIGbNB879kl9voGaTe8CBVTP+XIz3kd1mSxpJAV2+wCXU+Zbx4yG6/plaXBsSbg7QLWK/7+QtKoDqs6XBwhVSQ7jRyoilEWGeUtV6qndQZrj/n06DtEN4Lll7FTyzgIntgpen5OFjLe6aY8o2XT53xST5nML7EltA8sVi1RQrCiong5o84cL0+XzNqHaNmwLl7zte2KRmb8oMiYdz1rqfi2UuRSUwRP0b3ieXlALTUND2FyQ4bhND7gYv1FYiOJteX3zB/x+9fwX/zO5zl457tUB47R4Zh//Yu/ysPpQ+CLJMlbBJ6SUIkO2IJwqWPgq9CdQayhLJInEQboodj1z1+HYpPWCZVkfrEHPYe8SespgDmJ7XNEkqVZ4BVwPKwvuXx1zYvXz/nH2/eoxTHH+oCwrrk6yNjcl3zR1fSHFd3JhHeipfRLwkXH/+VvHTJ+9CMOH+b821/8NzFqPNxXD0OCBrtYEy4M/dkJv3V8zeEnFxxfX/NF9xC/VJxdRbov9PDCkj8LPHqlWeWRM5PGDbLWFCHj3hPH8sbz6WuHKUpKnzJ9mdiSnxQUD0u+v2k53wpWa40wW7Jjj3gQ+d//7/49vvi53+DBg7+Kye+AZlTcjk+mw/rdX0eSIy6GZ1YP6x233lJx+G0xPOtj4CHIBsobiIvk5+VcYrKRgdTg69RXjQ2YInVGVQ5hjfewYUZBjc5r9NMNYjkm9hnufISeXhGzjkZu6A629DGyqGfIQ4uQFmJHqQsqD214zbURYDMyafC6JpoA4xlmLgjSc/ZpRXAtyJ7F/WuEHUNbQVjTP2xxVYBVx7TwjJRhMyooaRAywluSUdtQ9cmLtFJArmg+N0dte+TGotaWvpjR5iOE7NG9QDUgFi1XB4r+vmBWX+FyScgqNi8vMapiKgy9rWm6Disi48MTdF5T6DVWzvF0SW43k0QkMUgmV/foRUYXNYc3nkzUmMkGJpJsMWa8mNA/fJDqSJygnCeTPUXV8+nobYJcI8bn/DA6MAJGntcXOUXWcl99QtYHGi9ZGcP244gXiiorkA9sKi7XQ9UkoLGMxZKtknxsctqiJXSa0EzIucSNe158UdA+fwlWsW1zYn+fSei5z4f8yFcoGXgcOj61j+haQVysWJoFKhumie+9JqhAs/F88ugV4y9OeaKPyceQq5bR+jU3kwznKrLtY7LlK4TaEucBvV4RYsN2AjPZk/UO6hXeJ7ZeEQ5AbDE03N+egpywzUoaFJOzDXnfkE0ca+ORInK/7tGjAiEVT1gR9QN6UdGM1xSNhjYj5mOMWCWWpj4ndxHhI1WATl3QCMeqecjV5z6heXDDv/ziKT8y8MKM+UjlTBZLvrReMMt6zFmHXArq9gNePtXcPNRMlKd5dUNz42jUiOPDS94ZL7nMTqjrks33DH/73hn3X895cHbwM8dJPzcodVcqcHd223tPvW2QcoEh0nU9MQS6vh8MfO8EKm8g3AKdZWRakWnF9XJL1/W8OjtjsdnivKfKM64XK7reslhvWSw3rDZbEILzq2uUlIQQsH5I6RwjUiXfFu99knENp/YB+t6y3qzpBnPh1u68sQbfDL9jh6R723mNrNZrdJPMna2z9F1PVhZMRmNC8CyXNymlu0zsKDEwbJRUaJ2AsWTeDloK5EBX7q0jxjr5tQiw3qGVQmlDNRoPZuuOZtPi/c/HCNm9n59kQv5nGVT/otKQNy/mFkTzMdB7z7ZpgCQz2r0fIUQK4IdAy3ufggrnsLanb1s8Al0UuL7Hdl1ixuU5MsuIg99JChwhBIerG5rFDVJrsmqcssvwpuzljfv7zLMVdwKvu+yzOxu8+X1gEWltcNsrQrdB2BYpJVLvOIsR9tKTIUKTAk8KtvsQWGw2NLan6SwXV0vm4zHHB3NODw+ZjiuO51NESNwcJQVGa5TK0EQU+XAWseMp4H3Ax2QqLAX7sp6YaALnLJ+++ITReJxMyzdb8jKZKr68WfD2g1OOp5PkfxSH2YgsZ7mpeXlxRWAI2AcpllTJx0spjbwDSsmhrgYiry6vCESOZnMen55w7+iQ44NZYlN6h3U2GZ/zJtsnxAHM+Sll8s9kwn93v+F9GiE4GI95cvqAX//Gb/Dknae0veODDz9hu93SNg1f/9IXGI9GFHlB7PsBOUqgcoyB4APODm2f94BIflxSJLZgjASxA6cCUUbEIPMUMu50Tak6yEF6HHfslFvAUXC3jguEuAUPYvxx8Hr3HvZMuN2RBoByIHjCntkiBoAs3hqP74otyfz6T3u+CacbgKa7DKIBL0tBf7xzzNv9diBF8icaNhCRvQpxv8nANUsO/AiRmFiwA1D3QurU1oh0Ijn8ixg8ioaJCBHlAEqljDd7yZePKCWQKrFr5T+PtvGXWG6Bul/u/LtHraRADc8qSHkrD47svcdiBHU3ScgAPMaBmXdXIhzfOMPdXn8w2GeQpoaYvKLi7li3DCwRd0BjOkACf+NeZhxEKrNaCp48eEjbd/Q29c2dtfTW0vVdSigQQpLjD6zSvZdZBBf8m2zC4erl7i4FhDQgeOPOfqElX9MOTvkmz7BCshQS199w/XHHh+6G6QvHdt3Th8DVwrIWiiZomFokAdUZblxJ6yLOtUweVkxUyUiN+MHNC4K0NCvHar1iFQPM57z3owvO5RUfWjifZLy6sEQiP/zkQ0yWUTtB/rpj5DStTG2vbQPrPjBerGmEYNFVuMyx1UteGEdfd/Sipe5XvF5qbG+QRGwRQHrqiwa71FgZ6WLGD7orpNkwjgumBzlb0XF4POXxwSEEy8vzK7pWEZ1h6udksxtUHniymGDrPvm5TEtK01NEOM5yltuMpg6MVs/YiCU+dmAji+mM8azg104Vl8zYbjz9y3P8msSMG4yQowr0E09pQXWCXkBtFK0WBBdZb3OUVYyzBt2NkCFnpRqCdHgZcRNHqDuiHdj1skGYBGBE68BLhIg0OVgEclNhlSBTHjYaISMyQB8sFk1PiUNgRx7KDrtUEB1Gt1SnB1TlhLIrkWLO2pZsrKQZO5pYs4099D0RQ8w8Ra/JrEA4yWbWsMHT5imLVNU6/Boue09ZGWaTiqxqidLSRkHvMrqtpFs51vU1chzIjj1zaZEy0otIo3qEUCijWAuFl55KregZ46JGRYuWkozAyG9pTIXXlkKsGFEgoqEKxzS6oZENGQ6ZG3JvOAgZXH+M7q+R3YryrSlZXnHUjznPA0FAHz2F0mSZ5pDIQp8QY8Rkmto56m3Pa2v5R+I1J2XNTFxSZCVVYTg+NhSZRMqIp0cJicQA0xQUx34YDxZDS+BBLkmgz+bObxrUCNt0XH7vfUb3RphK4jYXFIeeaGo+fn7G6cljZuOBUUUE0QEVzfaa5c0L6lhjrGcSI/Oio4sTgi3w+ZK2y+iaiuPJOcGNCW5ObSX1csNaL/hh9j3uH484nJXAvWHWBbqZJlaRTFhOz2HqMsaqwHUZphOw9aiVwrURpwNXbWBbwnYq0Dc6ZTr1gueXGVpYDo4jYekS82wqaFcK4SN53XIgFZmAsQ+cjRz35jO+dPqIzz/9DY7vfR5dCD64+pBQt2SN59E7X0qZp4E3DdtJz5SKvawPDYzYM6nYAXDNnf1t2l9kwAy4TmMCPQNrQTTpvcoOok8G932TMjI6C3myhimMSEbbPtA2EWUHNntWQ6sSC67oEeuk/lCFpdyodBjTkTNoDzKBFyOCyogjT6VBykiX1wTjEQpk1qNHFqEjnhFCZ4hCEPOIzCLOQ9fmgCZkGlvkoB1CBuRW0EuDyyNRbqhcSbbWSBEw0eCUpjMOR2rHbNyQW0nRS5pZhyoLMqnxtkPHlBghyoJelvSiwEdHyBWiUNRlT6EDlQQnskTgiFBkc5yIyd/0pCBXgdx0VHqcJqOXEUZjtNKU455C5mgcxA3Sl4iYgYh4sUbYDr1V9MYjkeitxvQKv46sg2DiOnQMzJyjtwGrJSIK1luFHOTPi3masL4OKlmIGHCFQ3SKDEFxbFGmJwpFuD4m2IgTli6v0WFNrySXoznuOiOEnrVok6k6gloGEH4/DlabNJ6MveDAB46iYyw6xl1Eqp4eECIgZIc317jQomKgaEu86pFIxnUkFBWN9Phxh1YZRmjMAdg81Yms97g4BjzFdo3XGZ3R6KojqzNkyHBqigw3CALKHmCFIJgejyFkihAUvb5BBUHmKmKWY0WLJ6C6AmMcUUpOs4pJPqWfCApxRKNLCtVQ+pq+1PjDOWN3QnkvktWedT9hPG/pp5atmNBlAXcvMh9XSKmRcsRUS+L6EFfP+Og043SuuP/gJ7PX7y4/Nyi1CzrhThASk89Uvd3Stx2Z0XsPpa7v9zH43reG24GnEAJjckZlxqTM2baWpmn49PkLrpYrBDCfjrm6WXFxvdzFaqRhMLy+uEzXIEAOmdJcCFSZSZKfAZRiOKcPEdf1bJtuCKoSqypNGqf78j4FjLeAROIWLG4WgEAZRVHXICRlVXJ6/xTvLOvlIrFI5e2suhhMZLUCT8B5mzIcKUmpJZsuYHtP3w8ZtoRIEi2tUUpTVCP6riGESF133MZ9Px8wdfe9fXbdz1ruBpm/lAwwxoEPIggRXAg01iY5Vgwpo5oYMuFpdQs+OI/tbaKyOpvOrzTj2ZxuuyG6Hpwlao0QQ4a8ARgRArztaDcrNotrTFEiTTZMxN8Bkna36OOPAVLDjX+GUPWm98+wyR0WwCA5NJpgt8hug/AWKRVS6cSGg88EkxGpFUaZBFDg6Z2lXm+5uF7ywScvyYxmPpnw1qOH3D854stfeBvlkza8LHMOJ1OKLCNTgszkKYNWhEAyLbZdT207nA9IKbF9TwgBrRTj3NC7nvc/eJ/jk1PKakSzXDE5OMYrze99/wfMJmPunxwjQ8ANLDOdZyy2W15d3SCU2Utzo5TpfqVEaTmAhKn86DvsmcV6w816jfXw5c+/wxc/95RvHM7RShOUwjlLDB4l7oBSDBnp4q1B+T7Y/QmyqZ8GRA14xxvfBQmIyKXi3nTOrzx5i1/5ylfJioJXF5f8s/d+yM1iRV3XPH7ymGw8phyVCZyIAaJHBgUxBbxSCLx3OJFSK+/vYTDAD94nACAEZBApc6NM20jvB388iRB+n3VMDKCgDEl8FEVExVuJ1a25VKpze9+cnZl/BLmXKnGnfdtX1j0QsaMI7jCyuMPKGDKkiV2bcgvo7SvEIBEVcgDjBElLeKdesTtPiPuXmKCnAXqTCZCKg09X/MyuAHIwG08Mf8ndPmn3WSq5f79SyX0dTkkOIMoEXCXAQSCj3rMjlYJb6WDKZKik2Cdj2F9KvOPg9XNMGvzzXMTeSPwXaJ/3IEx67lKkftkohWeoU0TCwKZMHl0/wcfqM1k8Q2Q/eIu7ZzMwqCK7Z73D5dP3IHbXcgtf7a3Ih20QDN5zQ58kIxkKspzZZIofjNp76+hsT28tddvss3466/aG/2Ewc4/DhFYMYS/532VglQw+mHLI1vVGi/OLLVKv6LJAF6GcHWGFoA6S4uKG5Uc3bD4SHNopC2UJWvJqGeiCoI0Bcc8iG4VeZZwzgdCgfEPxzhHT0QlZccrH332Bo2V1vuGTiwWLIKnu3eP9H3yK2G5RdcOVfAeUJcsi3/vgB1gvWdYZ9/seFQSRlojCCUEtBac3C2QoObeHQMdabPlAPeP5q45eRaSSNO0JygVGPtJNIEZHfFnT94YuKlaXGe+/vKCPPdMtFN+YUFQjju+d8JdOj+iaDc9fvkYGjYqGaZii5msyFXjy6oCP2he02hPHJ4zyDbMIT/QR79eaTWeZrl4Sok2Az1iwGEnErOKb83v8k2XJetsg3v8QbJIA7qX8SuCngdErSbYRXOawySReKkZtZLkaI1E8PNhS9AXEkmf6HBkdBLAjh20aVN+B7/ACogE5i1A3KVuyrWgKcEYQtyWZsmTGwlKnyYAY6UPPVmq2soAoEOMl8mBD32QQPZmpmT18m0k1o+pKDHOuW8my85SVJcaGGDwzq/Cyo8sV+SrHbCV6K8mKDWsd2RSSh3hkJ/Ebwc3SUUwz5qbAjRa4aGmDorMZduNxZx3XzxZkbwmmj2pyAVI6tpmlEwGLpNcGLwyV7DjQDWccEoPEWIcxORk9I79hmTmi6RixoRQzDBUqHPPKPKMZ4DiVK4oA93vB9uZTwvoaWs/4AWiTMbVz1qajlj19sBQKRrngMBe4/D4hwHQaWSvN1gYu1orV6pyJPOMJPQfjRxzMRqAkh2OBNoZazKhEiRYFyY/0KNVyFwf5fJoII24QWHBbEBMQRXp/VHQNPP+D9zj+yhOq4xH+5hxVeHyZ8b0PXpMXFdPJDBilY5DMfpv6mvXqJT2eyjqmwfFw3nHdztm0BXZ6TbPO6DYjHk0im3jANs5AKjZNz/JyyXfbb0M8oCyPkOoYJQKBQDvTMIpUuuPJOeRVgS6n2CYjj2CsQJ9LfNC4DM7qml4J+rGiyDKiTxMSn1wWPDgUvHUSqK8taizgRLLt05h2tOw4mBkmwEGItFP44uER/+bJr3Jv/qvk5Rjrt7x/8QPc1YrRVc/R/ccINdn3G7t+c5gaSs8WN6x3wAG3INUREEi61kji2+4AqwwoQGyTEb08Sln5xGBqH0La3IvEcAshMapMiYqKMuXZwTno1oJMSZSOqGKDWJUQFVLWyBud1H+PLZN1hraabuoxUSIUqElGDBM8hnpcUxqQItKUWzAqTe6MOszUIozAbyaoHETmiQcQOoHrBKHPQSm80vhxQSx7RPTk55J+WtCUEpnVlMsSU+dkYctolONzyWWoE1bnPH3cYKykdIrmniNTGhFS1m8TAhmKtirpVYklR8oWWY3Q04LGnFEISSk0XuX00WKtJJMzrIJeRPpJRiZbpvSYkcavFG6pEGaC1g416ShlRkYPdMhYJVCKiAgLZCMwNxluFlBOoRtD3kuaTrDcgBYdIxGYh8hFTHkFRJSsloJR8BxGy2JMyiTZZUgiMXfEUY9eFBS5YHrcEaRDrDPk2SHbKHH5GpevkH5Nm1esj49gHaFXLMSGI7nES4E1+R57kALExgxj38BR5zi2npGombURLwMbpYbJvh5vznE+ILyirCvqcTrO+CaykBVdFrDjnnnMMCJDjSy9MwQbUc4T1BgRodgu2E4KbBnJyi3ZckJWj1gezJBxgYwR6w+JVSDqnkhOzDRBRnpxxdSOKPsRsdTUWGz0SFtgVEArzdyUUBzgdcFNfshDMeOYnkf2Jc/jmMuYUbinjEJDETqKbsoonJOFFR+Kz9Mf34BY8rQtuC5mLPOah+qK0eYAXT9gcjziSGw4jvXPHCf93KBUZQSQTCw3ndtLc6RIRqHee2rn9tu/OVl/O5gLMWKMYVQV5CZl32r7NDt3s1xweXON94Ff+9pX+Bv/0l/j2Q/f44efvuCf/uADdh4UPiSPJmKi30/HJUYptEjK/1GRcW8+5oNnr2m6PhmYy3TtwQeQkrLIOZhPuVmu6HubPI0iiLQp0Uc8Htu73diZ0PdsNw15XnB074TH77wN0dPUyVi16y1N2yJFHKRV7g6/IeACBAQuSlrrEwgWwGhJpjWzccHNqmbdbVBZwa9+/VeZjEd8+P3v8uz5K1brTQqi/huyCJEkNPtQOXqkVngb8APw5INPAOKdmfa74E9VjfbZkUaTKfVmhZaKVx99nyg0ajXm5NFbiSEH+LbBdy2+rembOnlzKTkYp++jpT/loknynZ2UL8Y9eJa+/jgAEpGY2CCcJ/Qr+tVl8gErpuhMo7SgdwGl8xRfOUvYMT6EIKohAA8ek+dkYudNlgKnbdvxR9//AfF7gd/6nX+MGK7BZIbJqKIqS44O5rz7+BHT8QjvPFerJavNlvOrG5abLb11qMwggk+A3nrBlz/3lCrX/M7v/A6LbcNoMuXf/5//uxSTEZ2PfPL6jI8urhgfzDmeTZkfTKiKnBhh2TSc3yzJqhKVZUiT0lFDAqOUSYAhQ7DLTuImRfJokYJXV0vObv6If/zt7/D77/2It+8dc5hnrFcbgvNorQg+gTwS6J1DC1BCoaTChyT1/JnlkLtsjR8PLQWJBfLrX/0q8/EMY0r+k//vb4PR1G3Ltumw1uJD5B/8/h9SFhkm02gESkgyLXl874SqzCnygnsHc/LxmFFu0kxd8OA90fnbiFze0el5n5hVztI2/cAU9Lhg9z5rbsiM5ndSwJCkeM6HQWJ1m6EvDufY1bs0m5iC/vjGerF/LbfVInILctyW+TdYIlHcOQLDcVL/sKvFbv+reAP4v1v1Igwg1h5PGz6H/fGJt9cYBUO2wbgHjHYm6GnTVL7u4s57Celw/zsJqhjAjWRwPsjKhRqAEAaqTDqWFZDr9J7LLENr/ctyZn7pZQcmCX4BWdmwvRQJRDYy1ScBySdtJzONMUk5o9iTO28v4E4yiN1zfWNCh30xklLwk9rcECM7BpKPt35R4a5Ec/DP261Irz/esvhCTP6PQ79R5BlFnga8IcyG8hSxwd+eb5DLprFEqj8MwNTuGtjJvIXAxTAwRX+5t/74kyNyUWNo+LRrCFbhbQ6Fw2lLo3r+qK7pJzPa+ye8Uj1HV1vePtvy/uUTrAPXOTg+Q711QvbuF3ltNb5vOb7+kOPDyKurH/F/+399jPtoyl/9jV/lf/U/+Wu03/0e3/32D/h7v/OH1Pk5bhjQVNeSVgqEhncPDbnO6EzJPxaGh/eO+Rtf+jL/5Pf/iO1NT7m6ptENq7zgvckx+soyPqg4/dXHfHyzob/u6T6uiBcHIAJkSzi6YOMKvntzH7d2xLJh+fYG8aMR0/kJn//Gr3D07l8Alvy1p2e8/K2Ci1XP+299iBgHaDLixqKzjKhbmuVL7IngKpZ8/EGJO+5h7Gl6ge3vo2Yl9//1jMUfXNC+95rvrU75N/76X+bo/jEf/eUT/t7/51t8/PFz4vRjTHOPoj/k3geBxr1mHdYYBzaTSAP3aoGiwoeCZ9fvwCNJVsHDHx5w/qJjLXqKoqeJ0BoorkpsdYDPx/AsYtQNWm0B0BpkGelPr9LGfRp2j6yldI4tEI62iEOI/RxdZ+jnGUSw0hKkY/ajV5T37iPf3ZCbllxuKbM1D+qSTggaFMcezvSSF+qCUo5ppgWrg5wviwULETnXJY/EKWIWsLpn/fLbSDfBiftcTcZoNIVXjIzisL+mPP+If3S4Rc0sB8pTvv4mzShweXJJEQ8JbUm8rhgfSsaqY5rXXNqWrivw2zmulrTG0ZYVYrRC6UCQJ3xc9AgcRWx42D+gD4IXwZKbV7TqJX+UL5jkr0BrtvPHzKeHIMY8bzUhGOZecr/P+dFW4mTN6dFH+FCykYpnU8Ej+4QqKLLJEu0X9F7yneYpx8ue8OGK//tvK74mHEbCd82SP/d0wcnEY8yIJw9OGemM8HzJp7rnUjY8D2eM2iOMK8A5VLZCyjWqfcXb8gFlnfMn3/6Q9Xd+m/I48u/8u/99ZPmEngmX7vtswyWOAzSnb7QHXezZOoe9/BrL4zPs7BOK7JRFsaWLN5wyZXMgsDPPR+LztCOPH3u+2EaOVI5VY/6wv+KP/6lAf0tw/3O/zVeO5rxlDNvvLZktDO+WJ0T7kk82gau657/9+COKx1PK4zGj/7whBklvDLaqcL0lvg6c1ies5xuujpeI7iFXdU39zPM4BrYGXhdQn3TM1znHi4qrG8VZkHyA4X/9V/8c96YztK744Ie/RT/2LPUWt81ZqowPjiqK7/0W5RTEqUQLjTGaosx5pE4wYkRiRt0jyRzHpM5YA/e55VTvzNAZftsZfTnglMSkegWTt4b1K5BbGGsYHZFYbw1MLtPPNoMwh0Kgxh3Thz2ijgk/XJZwqBBakMcp2WEE4cG3cFIQKchHp8jiEuhR62OY9aAcVV3Q0xIFHBYT3Nmc2BvMF7a4piY48IfJV03KiMpNkiF6y1HpEeNDKEZMc6BfQt8jHh5QqIAVgfHmCWrewv2eNSVl3pPLwMHqkHxhMdsGt3wIeQujjnGdE+cFYZ6xqg4ZrQKjNiDeiWy1owke8SmYvMUYT759m+4gYzvTtEuBiZFMQFg2jCYZR+OM+jKSjaaYyQlWeuTBEdnsGPrnYAtwI2bFOULeI8b7MA+IKiUByl4IjC3Jugmhi7i5on9LM/3gU2RhWR8lkWYA8gjj53OkK9BdxevskvUUFseKRx+3tKbi4vg+b+WXdLrntVZka+hquHweAMPIdJyefsj5+jGhzzg+O2b59IAQe/JPX3DQ5QQRWAp4/VQQjSLEjOzMkknP/MRys32IbYH6mk/aMcddxVha1uqI6APzm3P6o4KgFaJ1yGxL9JF25em0g+gpto7Mr9E5iHmkzSy11MRYUW1yVHCEkw06duhoGI0PKUOLVZZtVTB60GKspdc5eW6IcsKiV+SrEXkjCfOcMT1l7DmoBLH2sG1xq5p8YtBlTneQoZcteiGI5Ph2hs0zNqNXFL5gGjUiNzzVkbdVpLNL1qGmDR2nrUYr0CLn63YCOoAQmKsJR8bSZZaOX2FUtFSy4S8Wh0QxJQr7M8dJPzco5cKO6zQAB7uMTAMTYhfsJOR7F7zvJ0NhmHmMPnkj9b1FQgImfJrh3HmrGCVZLJf88fffQ3uLBzKtKEejYfbW0VlHpg3jqqDrLVIKMqXYbGpaEen6PAWzQmDfSGedri+ESNdbvE8Sw10kE9mlEb8dgGol0UqSKc226wjBs1mt+fiDD9FaorRBSIsQbggG4+4h7OUGMaY06WGYHYshzSKXRjGfVFRFxqTKENJQW4/veybzA+6dnuC2Sy6vblitNz8Xc+mz2/wiTKeftM8vwpqKDH5LMSC9TxMVQ1a5yJAFUWuCu5XgKb2bM0kMh2Q4mwBMpTSmKBgdHNF3PdZZvOuRqkBpA8aQVyOUUvRdi8mLBGAOwfZOkrO/CzH8NDAoovf4tqFra5Q2FJPpfts3MjYOZT9dr6a9usDWK7rNCrVdEJTBFopus0ypPEOgtz1CaXRWgA936ssgapG37ACxY+GI5I1mdoyX4FM69hjx1uI2WzZtx6br2DQtRZYRfGDbNnTWUjc91qWgTQuJ8A7XNNw8e8ZicY0U8OmLVzSdZd47ruuWlkuaPmXB++D5KxofOJpOePLwPgezCe224fViRRs8VTVCaT2ARIN5utjRBkmysuGBiR0AMMillJZoldgny82WM4aMvXWNCwGlkvH5LbUn4GKg32VMEwO74qfgtLdsltvye/f5SiHQWiewx3tqa5lqxeRginWDL5zWVJXaS0mv11viao0PLgHYAjSCl+eXaKVRSvL4/ilVmVMWGfOqpMwMkyJH+Ii3yctusd3S9Rbb9YgYMUoxLnNKY9BCJmYOaVYtyojescWCh0FyFIZAfs8w3AX1A3CzC/Z3QNXenweIdz4PTdUt8HS37dj/3WatvPWy2jWbu5dx+yJUHLICfQbMeKNd2oFkd06bWFl3dgjctqEDgLs78Y7xIOPtd+Qdvs0AMO+YOrBjSg3tixjueQdwiVs2lZT7AoaSgiwzaK1RUqeJmDvL/o5+AmD9s5Y/i8z07iLEAPb4zyBAP+XYP7bznT2EADU8puQdl9oaIeQut8LQFP044LR/D4I7zLLP4le36+6eeQ/yxMFbbSi/fsjIGeMAVok75Y07fXWMQ/s4AK5vFEGB2lurRbS8NaXfyWEjafJpB1DdZUyl/ikdzO48+35JUKo5aulVQAqFvOrRQROVweUV2tdUXY/VCm09B9cNG+OwtWUbPCrUeK/wUUCdEzc9YXmGq484b9a8ri+42Eq63kPTcM9O2d4s+Ac/fI//1rwne6wo3i55N5uTeSh6h9gqxLzg80/HrJ45Shc4VAFhV+BbVOspVcTogNUdCoFwEVE3FGOHyaBflIirC8TKYd2UOJWo4FBbi1CCKANCbyjGLaOJ4PHpCS+6nqtmwQ+/f059/QfMpo7DwxPeK3puNhZ1Y8nFIKGLkWo8yGZXkq4MBOPITtZEbyFa9IHn8+OSo4Mp96aK9z/fsbxwnL/Iaasx2YMJb1FRqir5IwUIOuBizdpW9GNBVIppX9HJFhs8tdBIZQmyRqChSXMLW2VRrmMcLKX3yJi86KKLbFVL7yVjX2GlxEeYeE+zLemcppguCMJjgbjNqUIC8Z0x+E4RFxExW4CwSA8z79kqsNqwOh3RjRUxeq4Bb3PGbaQvHK3IaEVGHSzWZwgRCCaADChl2fgMJz2ZGuzaM8smNvBWzrb2XG6umIaKSllGqqOLBeFIsf6y5nT5GBkL4tUB65EjFoFJ0EycIohIW7W0JtBEWPYSl+kE+rpLRs8a8pEkfzujlZagFIqSzCryKDiSUCtBowChcH2Lu7jCvvdD+skWXx6yrEec1mtKXVOJBXW8gZBT9+8wchppLLUyODciRE3MA53YooKiaCtmqidIx015zdZkCK3IenBiM0jFDa/smlVTk/ULzl45jCzRm8ilbtnS07WaVrUYEZiHghun2LaRmz8853v1JaILnC2u6ZaXHM4L/vrGsw2vqMM1Vy7nj8+vedV/wCGveXJyn9loxM32Ja/tNRfScniyIpYZSs7Yii3EDBMqNtoS9BpDQxYUnSzwImNpPEIqgsrwskblW7SSbILjfLNChqRKkyMwp4HlMkDpmIw6FnNLGz36JpJHgQ2B6ByH2ZhVpllUDpetoW/Jbjz9wYLYe6wXXDEnr3seXLbcxIKDUjObKFjkGO/IREsfx7hqijmdsCoVvtD4QjHVBmklvhdsNj3tShK9oI83BKXBjFlFgxLXOFVjimMyCiqfcTDNMPkEXd0nDQh6Ihu219fUfcvad1ROUxaK+WEGeidjnJNAKkiSwDG7Pj2xqgTEg9T5AYw6MCOEqhAqQNEPhuhjyGUyRo9rhBGAAmuIVCByKAI4g4gSqjHoFUiPKCp0p4neI7YOpXMwGqEsKjdInexcpE8JfISuEL0DG2CaQe7BNKAqkEVCuOcdeaswvURnGlE4YuXJIxAKvBMUI9CxRGUKoQEriN7A1ONVRnSGyUSTGYtyHgpDYQPKOpjFNPZEo3NFFBq8QeUKnXXomKbDTK5RMqcoFdJEoEUREaJEqBJ0AcKA1khxhBAFnj4x4QdKuhNg8GQ0eG0RVmCuJIswxroe07SosUNbidxItjNJ6CJi09FPDShDfi3BdohoUc0a17S43BEnASeTdYgOySC/7TUXQdL3HSIPuMc98zoS24htW5p5hQg5VV0Q1ld45bGuxbWaTmQsrzVdViOlp7KWIkBFT62G+BUBRlB1gWgE9aRA+xbhAhowUREdyBJEJRCFICtkyvrqJcUyECkQOjDyNVIHJA4RCqQwGAHHtSJvSggaU0RGpBixU4pCRYQL+F5TuAZtLa7W6RhZsvbwMsNS0JieqrRoPGIrkNEjgsOIkpGJFFiCzRDRIWJg3Fi0B4umKhpiLAlxAsU1WbvF9C1+Mkb3jnLb06oKLUtkVVLojt1/P2v5uUEpOzAW7oz59gP4XWC0n2VmF+zEIeAeXhYSIVIA2LYRGcE6R90mU2MlJcYoMim4uLzi4ub3+coXPkfjPJkxHBzMk6TH9lytNoyrkkcnx3z88jUxBqRStG2Hd46V0SkQG4CUMEj1xOCd4UNgW7dY6/epo3fb7oMwIVBCUGQZZW6Yj0peXi9oOst6sWR5c0NZFtx/cLqfVd3dvCAO8pdBkhKHAbCIt5lmpWJS5dw/mjMuc4yKBF2Sd57Nes14fsDR6QNMu+a9H3xwJzj/+QfH6b7/bGDST9v2syyhn3XMyN4PGhUjyidDeecswSVje6UUUin60A1lSmIysyPypqBDJXAghKTrVXnO9OSU7XKBvb7Gti1SpQwYImaIPKMYj+mbbTKuFTJFVVHeBqlDBLwLZnbnDr6n327Y3lxgqhH5eEwcyvGPBbwiDZazTLPYrthenbE5e86kEMhySu+hWV6T6QREdcGjsoK8GhNxQzm5BXIhBUy3mKYAodCZIisqBBHv+/T8YpKgWO/ougRKvbq8uSOZSfeTmQJjdALstCEOnk1n52e898GWprcoSTKC1xkvrm+IVzc0bUfXdbz/6XM+ubhhNqn44rbm9OiQ9WLFq8WSHhiNxgiZNNB1W7OTrg53Q2JX3jGTvlN+MmMo84w8N1jnWSwWbPqGdVPjgkcqhXduYMykw/kY6DzsBXy7McZnAvo3BDdDldnJ9JRMGUK1UuR5Ttf31M5ztd5ycByZHM7QRqEyQ6Y1MYC1jrbvuLy+pm4bmrrBRz8wncJgPp9Yf08eP2RU5lSZ5umD+5zMZjw+OSITkq7ruF4s+PDVS9abmu2mRgo5tGVHPD45YlzkVEWWjLXFQOZhF1RbBAlk9TtN8wBE7QP5EPaSPR/AhTiwqcL+Yfg9a4S979MeTh+qdYi7lnDIzDgMJNLkwfCc7zA3d4ykGCMqittmao/jiv11QWJX3U5miEGeGYdshuk6bpuYoSylf7jrZaSGc0uxY0nd8QJK6A37qZHUCewBltQ+ykHSJ/ayayl2pSf5gaUss2aQ790pa0Lswb5/sYtASsVtjsY/6+63U0xS7Czxhvv1yTMsykjwt2Vk9/5v/ckYTOF3h5T7uninVOzrqBBiKFufZXelrXfAj4shTVzsylkMSeIX3ywTO2N1LdSt79nQ48Iwpx6BKNBJtJ/2GxqUuNtox+K7A/DugLEQItpDkOKXBqU2Jw3eKILQjM9qjBKQa7qiotp6Zk3DTWHIO8+kXtOb5Pm3jBHNiiBzvMhhUxGvGkL5KX5juGlXvKivcNczyghT5XhLC64vz/l//t6Ct/+1t4n3BaNfmfIk3mPaeWbbmo9vJoyeTnj0l474fywt5WbNvXiGDAt8I9hctujg0SritSPvqpQGvN9QPuxRMtC8VIirLaINWHsI8xZhHerGIlSFlpJRuaF8aDk9qPiN+w/5j68/4OzyistvK35kvs3jByP+u3/9a1yW51zryOgcRpnAS0ErFOOJxCDRZwa36IljS3m6RLwMCB+YPBL8+pMRT2cTcuFw7x7yyRG8+OGY9WhCdzTi3jYjkwXBjcCWRHOBkzW1LYjTNOYotlOUD7S2YyM0UTkiLuX72kbYJtVdGS0T7yiiQHmBDIMSSCZrgQOZsSTSRJg5R7RzbDsmP1lRh0jvPXGhcFEShMQZQ2w0YitQsxskEhkVcxcAxTYalg+mtJMcCFyGwLjPmNcFm+KSWhgaMWYVG2zQZMEQsmukjGTSs4oVUXYo2bFGsFGOm6ymfGdG/bLm5UfXHPb3qIrI2HQQj1mdGG4e5dz/9mN8N6I5P2D5lY7KeA6c5sBKvPA0E8szrdjagHUCX5VEuQb/gsnZkmKeo75wTCM0URhELCn7kimRB9rxnbxnqyJRSfqmx71c4P7fP6L9ZsQeKba9piyumZcWaTxnYUvjjljZrzKOEYliKyqcnxOFQZueVr3GWEG5eMxkNMJmNa48o4/3yb3iKHdkokFEwdwLFrrjym8ovGO9EQTGTLMpjbOIEDnaTNlOWnTecaxGbGLG643me/9kxeL8Na1bIx/3qGeeB6MDPn1Zo9WHbIPkos24eHFFdr7gLXqk+jranPBy8V1edtdc6sDRw2tsf4JzM1rex4QJmZ+xja+Iak0hPSMf6MUJPXOuzS4ZjUEqzyhrGUtBo1oWtcdve5wViHFEKsfNjwLVyHJ4LFjMwDcRfxXI0djY43vL/TxDZIZ1ZemyJdSechMI966RWgOGMzHjrXrL07annM05vAezh578RcWo2zIOay5qSWUK7j+dUE8niLFBVYpp58kbi9521GtDqBVhlXHjz2ijpI6alV2BXNCajxnNJ4xjxXE/Rj4cM5o/osyPUDIANcQzVucfcrW54aW95qidczQbMR8dpGyJYgIcAq9JVKiCJAP0wAUJbcpAzEAUIFswL4d9hgyM2QWYCNUcMCA6iKu07zA2F7JEYCDbQG0gGDisQDRpm2yE7oesf3WLqgzkAjAoU4LRQA9tP2RpmkLbgPUwr0ju5B0wGq7TweyGzBXQ5lAYKDQid5Qx0m1KnNWUhxuErKAsUOMarg1sgZMGv9HQGcZHBjEash/GCVndkjUdzCR0EjoFFWQKjBMURYbUCqm4fX6xJJsAogU6FJrknZaBGYGRgEJwb+iM2+SpOgwavAGCQ3eOkG/QNlIsBTfmbaTr0WtHPvFkvUTcKFbvQL+1xHWHmJYUtWJ0JghCEOhR6yVd29KPA+RgVbIqMT6pBXpnWG1HiNii5xb3Kz2nv2sJK8sNlsWBQbuSw5XBLG5woae2niUTemFoWwWnSwosIxuYR89EdGx1ZBQCSghirhh1jhAF6+MMVRuM9sgS4loTnKSrInImIBdkuSZikEExX3tW04xoBFOnUSZZe7Q20iuNioKTtaZvJ1iRYQ4soyjIvSQKRSYdUUZsLzHOgetpfYaRDbLoCVFhVUEnKlp9QzGySBOQXUBKi5SWiiPGZkMpe7ZNjpcQo6OqPSOnAQ3Tlt7O6d0Ml7+HWVvKDTRPHfqqR29bcmNx4zGuKtDqOV2ssf885Xt+CAqlTHKz3axoGHRI8XYCExhmNIcIR0nNjnYZYzI89tYTc4FWmnEh2HZd8qbTaYBpraNrWs5uVmSZ4d7jR2y3G5x1SUZXd2zqlsubFW3b7geMAuj6wPPzK3ZZkuSdoGQnMPHe0/f9G4DNTtqBEBRGUhQZ89mYL3/+XU4PDnh6csx/9B//p3z6+gKEIDPJwPr6aoEWAQOMRiNcSKyakVZst1t6lwyP76a6iiEyGld846/8BpmSrFdrfvdbv8fRo8c8ePiY/+Ff/auU8yOkNsiH71BWf5Cyr4VdpqOf982xv7d/kca8giFcGnw7fN8Tm4bVckXUBp1lqKJKJtzW7kFOpSRa6RQYSom3KYOSHcxrnXM456jGB+ADrl5z/sn7jA+OOXn8NiYraLZrVteXrM5fIkQkKzLmp2+RVSOUqRADUBK8H6R6Aqk17XpJs1qwujhjcnhEPh4j1N4sLF3j7rtUzNwNsbfU24APEHUB5ZSbriXaFtF+QpzMUzArFU3XkE/mjE8fs4/27rJLBqP04Czb60uCSCy8fDpPshoERldDmuoUKUqlEoAVHH2XzB+L8TRtH9PgRRoNMdCtr7l69gmrq0tWmw0+pGxzUkoigcubBf+H/+N/yOzwgKIqccHz4PE7zI9OaJoNl9dXGKM5nB3jUZzee0DbO7Q2RAT+MuDckNxA3PqziB0IKJJnjVRqCPqHwBPB4XRK0TWErqbtLCFApjV92w5sFhBIvI9Y6/YAudyXtltSzh7QZBe4spdvKil5fHKKlgnYsSHSmR6tDZ88f8ZsOsEYyYMH9+kjLDYbQoi44OmtxXvHpKp4dO8UIQS9S5LdepukGkopXAy8vrrm5nrBH7/3AffmM776zhP+3JfexQyG79o6qhgpqhyhJHmmITq874hCUVUVwg/yJOtvJUfcMopijEkWuGcbxVugc2CqSakwu3A83jJGI8loOq2Pe7DorukzsA/2/X6/4d89c+VOuyLYA1uIO3DJnePtJjA+i1jtsNgQJW5HoIm8YW5+64L+ZkuzA++Qcc8gujXZF+yRrKFcpEERRCmoipKdWksXWWJKeoe1DqU0Wiu2dY3OckaZSdJNfafbvNPv/ItsXff+WDvg7Rds24UQGC3JZUoS4YCo9FAWAp6w9/faewDK3Tsf2I9R7O9/X57SZTJ83fX++2e0B/busJ7UkFlPBUXcybGH69jtGYK/A4rKocjfAeJjYPeuo+C2bnyWObyrS3fYUbskEMTkT7kDebWUCaQKv9wbzt9/G2fWeLUi+oibjOjnh+RXF9SdYhOPeNzdsD2OfHoiuff+fTo6mmrNW48si8zzWvZkHwl0YzEfOFy74nTW8bnTjG+txhwcKD7/NmxDh7hacPpPa27euUc1vsdvPPkCv/e7V5z5F5yNnuFePYbX5/D9byG3BVF4fqhbHlYVdV3wH31Y4LbXjFrPFxrFp/EYKwOZuab+yJPHLRP5nP5wQ5Adk2ZBzRFOlKzEU7Kp5elJxr/x4ISTXz1iPh3xUE75+3/ouOgvKL/4greeRfIXht/6W57pr73m3r2e4x99ifX9GilyfiO+w/Xij1i0S1Y4jvsMv9C8PpeIY8XTdw743/wPvkkeK85e3fB//r/+bR79lf8eb3/py/wv/09PuDz01Fng+dO3WR//Q/ryNeL6mNFJQ2VaxnXNpjmgUyM+mbwmbA/Rds6Rec2Vm9LGnDzfUFqLdo4+Rvosoy1KVrsiGCVtOyYedHDY83F8Rng9gsWUF8WKyBao6Z5lBDtDuIqiOGPrJqxdTsY1x6JjQgsfRxpvabznh/JtZNxS2YZ7f++YQubYpzWH2z9kKWZcTQ/IY4aLDitXuKLjgIwn5AhRsUXTecPYOVbihktd41YTdD1j3Nznzx14lpOP+PTJc/7Od36f2b0jPv/5RxwXgbZds775hHH3AeV6wmT9FmH8FcLU0E0iCzFBIhHBMrUvsdLg5gc8OuvZNq940fwB6t1/hXY64rXqOA4lhc8oHGxKWEvBRwo+59+n9WuehZ6L7i2W5Vu8/LVXLD/4mMMffcI3pn+TzfVv0h4VhEcXfHzTkOWCL71zzVKu6IJG1g+wQeK0RaoN0zClEp5q8jEf6EitYCQqHvkZBsH56GPq7WNUHDEbB7R5lyA6qngBaoqOhq/rlh/JklZE3ioueS0n1FHwovkY+f2PqT464+LZxzSixhmH8hI9F3zarvkP/oO/yV/8i1/j4eMTXvUXPPjK1zAPHvGBmLP97nsc/uBPONTvEFxgWlRs5Q1ysiXHMrn5C2TigkxdMF68Q5e1dMYBE6ZigxdbvmdmaN+SOY/MvoR2hlIKnhQLKuHRoeXVH65g4jCHOdsvSFY3oF9EvmFOiUWNPXrNzfUXUOsLfP2a7/o1B+eBr7z2fGQfMFMt98oNRfBsbGDRNzy7/wl5KzncGr788EuIoiS0iu4LOdys2Ly44D/9+7/Nr4d3efLrv8lXHzxioy0v7DmrTYFcS8ql4n1/Q1457s08lR+R9T2j5oreLomhIIavUW6X4HvO+mv+4QeRefUBv3b0MV959+sUeY53iu5ySeY2vH0k6ewKuh7OgHvbBNaYHIbkPymL374HADaw9/d6SAqFd75UkpQBsIfowDvQj0mgVpn2k0BmwFxD6KAdwUSDtMByOO8YKGDUJEXigYJtl3ysABoBbrhOIUF5qAvIZlAUYAJpRwlUYK/AbiDXkLUw7qGaJNQIBaIiG2+Ga59CvYXtCvy9BISVHrol2ciTzUO6vjgCL+HCJh+uzECQMGph3oHYssvqqNx6/zllPMxAGNKoISdlqjwYvq9IpvO7nv8cmCM4ZiQzciGRIvLu/Z7VIuP5Juf+RlIRybVAfuEFjY80W08IAu8cnbfY646x1dwThk8/GqNiR8E1r48DfRgRt8cgMoTakBev6bwg3wSOlw2VlGwwPKfic/KGwoK4mBHca+qJ4/qRxG8b3FZwhuExgkyUdJxQFAt0UTM76Hl9dkzrAp9Mz3k5joymBSdHT/B5h2kChx8eoGcdTeGJfo0+P0YEWD+6IrORzGYcj0+hvoK+I5SCZdPhQ0/8fE9RK5zPuMrGlKNAETzH51uWDzJ6I9ksC9ALRCYYlfcpbEvuHPe8Z2FWtKbloAy0K4nrRozzQ7y9JoQGI0dImZOpgBEdkw5yK6jfvUgTB0z5fBuRuQYFKgNr5gRjKN6yhJsRYZuRi0vGEmBLvBY0oxntUUHWK2ShkceGvIY2P2NTbhjZQOUkY1f8zHHSz599jzSQ1FpirSUSiGGXrvyzg7XdjGr6FkJMM7FK7geJUXi01on9IQWZ90iVsrK5wYhURMFysaSsSqpRRd/19H2PbbvkIxETuBTuDDJvZ+u5ZVGwG/QqcmMS42LwZ/lJ2dikTNnDiIK6blmutxR5wbYPHBwc4oUCbbi4ukogWfTDuYbBcQy3gdBu9n7PJEvnqqqc6XzKwb379PWGuG2wAZptzWa9YlPX6OlBChZ0lgykxd3Z2p+MSv3ETFi/gKzkpy0/L7AlBgYBpKyCSIHJM8rxhN45grVY0SKVHoAVgTGGPM+ZVOMU4MZIyAZ2hwC/3eyDZiEFyhiyskLHc/r1gqtnH3Pw8AnBW6QI2HqLygxUI3QxQpliAFPl4Ms0eJSQJKG2bxFSMjk6oZrN0FmBlOqWBHdXIiRgs1rRbdbc3KxQ4zkyK0BmWN8iZWLYZWWBiJF2dZOyTapkN71LHHA3qAzesVwusG1Dv1kzOjxCZyZltBuy2oldQBgjhEBTb/Deo0wC1byzeNtSjWeYLE91NssIwbPte1bLFYubRQLRYgInfIhDsKkoq4q+7ejaFhcdB4cn+PGIPlhuNuvELHkKOsuQWmOybB/0jUejfbarHegXBjPrOKAb4k4ALYQkInAhsm1aXLMlbDa4kN6vVrcm/YHE5vI7eg+8UZ/23+8E7J8tj7tj9dYiM0GeZeTakOcZxmiuFkuatuNmvUUrQ4gB7yPeJTDUB4/SKrVjd84vpSTLsgSqSoUQCTAMs0jf95gipxyNyEYVZWYoypzR8XwIhkMywfceYT3TqmRU5mRl8q+IPqDUrp1Nbe6O9RRCuA28B4PxGCN3bbZ2QIEYnuGPAUJvMJF24N+PtxX7oP/2gd45irgDDohdMrUBmI6DUfTd9xBvQbXhKvcEweH6w+44b/gRiTf+lEqMt917RbCX+e7XkSZPYtgZV6f6i0qsq8vzc15dXHJ+ecXDx48QAry3PH/2ksloxNF8ThSC7J23mTx6NDzjn+xj9ou0sb/YPqn9yIyh6exPbZN/Fqv17tOMO0Zv2ni/PtFcAeQtK0rsgN9d2yX2x9sdObJj+A2Tynug8TOzV/vr2zEBk4w57spTQg+Hz0PmSuKQmXFXp2+zBe4zRyKGTJ2pDN4pFPuyu8vwJ8WQxGXftKT1O1AqSUQFQfxs/7o/bfFii3eK4A6YisjaZbSNQgz12cdAFwKqyZnejPB+ixg78kPBwkRqP0K2hwjO8T4j2pL740ilNHI95RRD3jr8RcPVPUsnA643/LNPX3A4ChyqEZfL1yz9DX0LMW6IwRI3AakdwQh8kdNvMzCSauLhRqCcZCMVvtqgckU1HiHjCNEINldrvHfIEMlEoG5qdOiptCJTJyib8/q55+Ao+eNtHmT8yl+YM1pr3L3HrG/OaWtB0SyJryvQOboOLFyLKDoenD7nJmu42oBzhjpUKK94HFrUvOTeaU57b0TdBy6XnqsmY3K2ZntwzUY+xKIIKEyIFBpGxiHjmkI6tIaNFjjR4lWPVxqlPDJ0rHTASI8mye2clEku5QpsJvAZ6M6mNi6Ci4IselTwdHFEjAqEp595ZBsRvcBiKaqaqfLoVcSHDofHuzGdEHgToLiiD2BDhL4mo6V0PefhFcdhgg4lPteYYBgFj8WR4RgBkRyrHJ3uGXHKRERGBBwFSuZUStOLBjKJl5GzbE2go/IVX/jOFdurmk8+vaT8xhgRAuP2kNff/yPKUcbB0xx14BAFCCXI5Sb54AjBQqWJZCVqbnB0uUJVp1gTsHmHw9FKSRCRXjaEPo3DYlBsVxk31x3vffwjDp8+YeQMRy7QLcAUEn1Uoucjoo5szl5RqYM0WWVa6jDCYdBSYExASwiu5Gp1zmW3puyu8MdzMj1CcECjAj0RF0c0hUPFhlwrQp+AbpErVP8a7zzPTUasxuRasoodTh6gvKJyLZ+8WHD+8ZKjfsS18tQC5FKiNeSjgsOHb+H6G84/ueT5qmb84IDRsUG6RyxfrGiaNcu/kGMlOKnQZoKMHSH2NEWHjhGiYh01UpQo6ejVNiXDiZIRS7xM6Uxy77GqZy0tLlhOmprJeo2dabZxzGqp8OvXZDZjIksqadgowUZ5mEZcgC7C45nHC8V1NDwQDVMsEwGvVpJWRtyp4InLkTbnw1Bxaq8psyOUOmH1ZMRRIZmsPd9+/Snt2sK6JqNERwG9Zx1ahOwRWYtyDoVERpj4KSH0ONGgvMeiaYzEeUMvI7WJ5MEyywX3pgVajRCiQqoRs0dfwccOOYrYcSRTCqoMsjnIagBMcoi7DH5h+KtIoW9LAlnqoc8oSEBVP/wWSanyNMmjyqXYTgx+oH4J0aTj65o9pVyJ5KUUs8S0kiGBW8pDnkPQw3YO5CZtLwREBXYNxu/7XJxOIFHWgVFJwidsAqYGu5Lkvh0AixAKYp6utTQgM1ABlE1/KITWIE26PmGSfHGUsqaiJMhD0E1iaQEQUl+pAoh8eJYpC2IIjtXFa1arS1brG6Y8BePwpuWl21BkIybZhFF3w+Tw84wO7+MKjzeBGAXt9RjXgjSeHk0U0AnwayAKVC8II58y7hnJrHVIHVgdeeS6wbvAMhpsIwghQziIqiZzkfLykJuwQXQSSwFijRQWrTZoPya3OfnqgLVfE3zEX+XETiCcRaglWwlZgEpskD7DI9gUHd7UhCCgH3HvWnD/WlG2Db4PRBdYTiJ57gkCRk3JeOTRwpMhkGWByDWytCkDpVR0MjBxGcEqgijIhSBqx0Y4plkkk4JuPiVTHhWgznIYBVThmCsLPtJKQScBKciCwvqCotSITNPX4OIEr0r8vEGHljIIxiFDCY0iovuAzyIoyAqfyENWo2JH9IEAuKiQskdnKclYlAIhAtJLtNZkMsOqgBqqAFlNHiWhm+CyNdoGcnvrO/7Tlp8flNqzWCTWDUFQEHeo9G9szc5nAiD4iBAxDWpV3AceWt+mB8yMAREQIuJcGDJQCVbLZfJ3UZq+62nblrbt9lnlGJoT7mRE+mywCruxqCAz6Zat9/Q+3MoKhMR5dwd8MyAi223LxWJJFIoiHzObzihGI3RRslqv6ft+z/ZIMFTyjIJbw64JO3cAAQAASURBVNY0CA57jyspBNPpmPnhnHJ2QNf3OARIRbPdsri64vmrV6jJPEmuIrd+Gb/gZO0vypL60xhWf2pAJcQ+2HHBp4FMmTPJR6xXK+rVii40mCzHiAIEyb+nrJhPp8nc2bm9D1EE2r5jn8MxRpROWQoLLag3Sy6urilmByiV3nPse1AKlZWYokJpQ4xhnyqemFAp7x3e9ri+T1leju+h82IPoOzAo50fDQDBs7hZsLo45+LFKx7/+V9H5QVRGUKQSKUpqoq8qnBdQ7u+4fDeA8rMIEUc2AZiSE8vCcHjesv165c0mzUEx/jomCzP0cakciNvC0EMjtD1tKsr+r6nnB9QL6/om5p2nZE9+Ry50QhESmcvBME7tpsNq9VmMIbfSVsTG0Bnhnunp1ydn7Ner7HeYustrq2hl9y8fknTNIwnE6rJjLwaU41L+sGwfjadEKMfwBxP39nB7H9nUJyYDAO+N8iPkpR2Xde0mzVhtcLHVFf0HnAYgNU7UqE3MoHGu8VuZ2T9EwJfEkBetw1SCsqyYFRVhBDIswwpX9F0HefXywFUlQSfyqH3yfNOG4OUMskLh8BVCIHePWshMVqRm4yqLFlvN0ynE2YHc0xZkpc5hR4zf/wQZTTRW0Tb06233Lw6RyGSiXqRJ4ftEIheJYZkSJ1eHMyZ7wKAt5nF4jBA2QXZ8Q5jiT3jKtWhBAomTCHucak3aD/Dv1JyK3Pdz369UeHfaCd2nmiCIQMfn4HRY5Ji7o6SQIaBfUMacAcGAGmog1IlBgxREJFoo9A6DRDDwPrKsmwPXIcQkhxPpCQXO/alEKCMBgHnr17xx3/yHb793g/41a//KtoonHd8+w//mAfHx7z79C0mh4ecnJ5g8hzr7eCdNly5+EkQ3s+3/KJ+UpD6qEybO8f50ycrfvzkd0GpuFtF4hndglKpCsohCx0DjnmbQTcBfum8O8+2HdYpd/e1Swx5t8TEHWAabz/vnke89RqLUexBwCSTTO8yyri/73hn+zeewSD3fpPNdwfk3IHXcYDj5PBWB1AuDBNdUghCSBKBX2ZxZoF3h+BmTHWHtRnLtUjycAIRxzbCZFMxrQ+55gPUWFCeZryuBbGeIFePEOEK5xW9G3H/oEd1hu1ixGkEV/c0zZLLQ0EXM3wo+Nanz7mfB76g5lyuP6V1LQoDYjMgxwVtAbFQyNJQvzaUFRyd9EgraJziItPE+RIzLhnNj4lFRXfTslqeE1zAeEGhNKKu0RKOSkmWvYvuCz54veThpEU5w+bI8e6vV5zGCTfl2/yX//gP6S5u+Fxc0Hw6plcQRM21axCqw50sOZOWKwXZ2lB3FSME71Zb9KlhdD/nrIpY1fI676jlmM3FJdeV5qOLB+TZIRkZpnNUIjLRAcGaTEpQitYYrKrxOiDMGG0sgsC1jtyTjipKLjrolQapUH6OMx6fW3R3a9oqCWTOYTpPF6ZE34FscVOHDhrZK3rdM5s5DguJvC4IscGJyMK+TZNJuiwQZlcQQDgoVksq6xg5zwvznLd4hPEVbmLIes+481zgyaNj7AMbcUqnWshqxv4pY9FTiJZncoRWOVOdYfWWVgsaCZ+ocyrVMxNT/vzmFT94dsXvX97w9le+QJVNOHAP+fgHjvxdiG+PyQ5bMjSl05RqRYYBMoI2hGDRdslroaEsKA/fposWHz0ySnop6VUkiIaqnqKdIIrA5VnOiw8c3/n7H/LN/+k3mUVJ2Xq6WlKUGfLJMfqgou9WrD59xeHjU0xesdWObXOM94ZSd4zyBHTEfsyHV99jvX5Ftr3i7cm7jMsRvZixVT2CgA8TXNmiYkPmSuyqJQSHOAZZP6dt13xfHvE4m1NlGRexGzg0ikmwvD7f8Ox5zamf0eESs7cHM5eM5hO+9le+wupPfperTz/m7Mbw6OtHHDU5WXvI5rsL+qsbxFciZX5ALsdM9ITQe7xvaEZbyhAJIeMmE4xdRhkUQZ/jXUn0GVP5ilrk9KIg7zqc3rDUNZeUqHpBvryiu6+pr8asb0q4MlSm5KCcUijJNZLrCJORxVuPdZHHs8CLLOeFLvhNtWTkIrIX/LPnkjCPZMfw+R+VXLZj3vdjfq19xSRXTNUDmoc5cxWZnjukL/G1wN20yJChcIg+UscWr7ZQLCnaCXlUCKuY9FPwDotB2IZGS3oTcGhaBYtCcNBaHowyHhyOEWKCD2MADt45Gfqu1GuF6LChSeNqFDrIBKIISWI4LUmcbwkUCVCiJQFOkgS0tAxp69I6oUCVaZu4226UQCZ7CfFh2qa4hr6AKBOwYwsIGZh+OOdgwp7PIFbgNZjXCZQiANO0Lq5S6l+tAJMM2L1IzKjMpHViAXmWQKUkLk79FhbI0/WwhtEYyjJJA2U7SBQ1iGzYThOCJCKRk53HpiCGKULkCIrhuDWIZvDeqtL9UwE9MfQsX73g40/f59mnH3HPXcIo0E8a/rj/hIPJPZ7MnnB/VXP6zoxsGugyi9ceEWH9eorXHcZs2WJuu+fr1K4aCf1RhzCSkGmO+0hdRM6PHUVf46Li2hWItUQIjZABkS3JbMHB+TF1bgnB0IhDStUSpcOIFTGeIv2M8fqYdfgE33tCUwAKoRwmX1EDQQSO9QLpTqmd5kpu8PkaXIbYHvDkMvDkUpPXG7CGTsHFgWUUPMYZJs2E8XRFpi0Tq3DjCickTjco8mGCtGMSMrAZm5gzKhqkSskg5hmozPD6aM7UrhHWsS1HMO8RZcfMdSyloFaatYJx0ORe0DVjJpUiE4LVqkeKMV4J+oM1Ze/JeoFpKnoFXgaKept8RTV0uce1CqxA4tDeEYLGeUVOizYOb0b4GBE62V8oFHnU9DLZ8MgoCHlNGeeYdsLlqEW0LZn952h0niRUHucDwSf4RUqJkIHg415WdrsMcgkBUg7Z6Gr3xpD58uqGHcNJ3fHpcD4ZPCMESiiauqbebIZfxWBc/WcDWqQU+BhY1c1+3c5XRGpFnhc09ZaiLDh9+BBtDGU14vj4Ho9O77G8vuK/+Lt/hy6CkIoyL1lvaryP6BBZth1ZlnPy8AHzsiA6z/n5OS60g2lzCuVGVcnn3/0co9kBIcBv/+f/GSbP6Pse75IJ3Ormmr/zn/wnHD74PabzOfdOTri8OE8+MD/He/rnxYr6pZbIPnBBKEplODAZmZUUZQXA+vwVy6sLOtsxO76P78d45ynzAmstTdOgtU5G81KhlcY7T4wpW6MpRpTjCfb6AikXRDb4ZsXo+ISDtx6Tu456u6XerHj5nT9AlyPy2QGnT95BCYnvW1ZnL2i3G9rtmvnDp5TjKcVognM2BScilbe9MbbJ2N5c8fL977K6OMM7i6wqytEYIQRtVZGplD4+U4bzTz7BtU3qGMoRcjxDFRW0HcSQUtUPma+K/x91/x1ry5bfd2KfFSrtfPI5N778ut/rZnezGbopKlCkbWkIyyPb4zAGBrDhGRgeGLD/sTH+w/7DgGFgDAOGYfuPGRmTx5Y80ogaSiJHTKLY7G52eP26X7rv3Xxy2LFyreA/qvY59zWbZFOULbmAc+/Z++wKu2rVqvX7rm8IQ56kC2Znp5Rlya3XP0syGDIZT5C2xjuHQWLKlHQ15eF3vkFRG8Kkx87OFqWAqig4/OQh2dWMIIkpipzx1g6jjU1eev11Zucn1HXBbLpsDeSVpB9JSutapknYzlZIpXjp9m1cVXB++AQdRiznM+qq5PmD97n9xtuEowlSKbRqY2Zfvn8HZw3OOYIopOgA5DQtOzC2TTBrrMFYS2OalhEpYHdzg7RImeUFDtGap2sFnUGxcw6pdAei3DAGRcecWEMD18CvlB3ToWuM608IzyrPWuNyY8iKkslwyM54wu5oiCkKPvjwI2bzJVG/T6/XgyShKEtcmhLHSdsWlCDWEdZaqqrkg4efYK0lCkNevn0XgKKuqZqGy8WKdx8+492PHhNoyaAX8dNfehvpPWfHp2wNhxydnPFrv/37ZEXJvVs7/Mu/+HO88fo9+lGIqGp0L26/gWlwVQMdoL4GbK69mjzXMxtr8HbNBvTOdUBWez5tl0hmPR37Clw30XBDTurYKNfSpQ4sEjeeXdcsNDpmVMcu0UJdb+PaZLrrcwVcg+3X4MS66/AvQCxrYJg2cU91rMr5bMrhyZRFmnHn3j1CLZHe8fjJlMlkwubGJhvjCU1TY5qG3nCA66R5VW2I+zFxL2EceXaGIdvDhL/7D/4hWVVhvOfPvfUaL9/d5/Nvv47vj/mDd77Hv/Mf/qcUzz5hcTFlGIVkpgsr+OfQ3bbX9Z92hqL9TwhQShIHAVEHfIcvTO64NVMJrsFBYJ2/0B1Hy5xo8cN1i2iPb41vClgHNt7cqy+etI5ZuKZWOe+u20XbvtX1vtbg07UM1N98rv1q7rr9SCfagAC/lr12flFdX9fuuwO+nMfLm3MLax+2m7HNP+XZvl7yKGfbV2y4cx6+4jBljMh7VLoiXBmSWpCJW9QbinSnJEcyjhyJr4mPAqoiw1SPOSCjUpJlXPErprMu0LDpwQpFEYSU7/YIHAxxrKznanVGsVoyzFeIOGE62SBazvFxRLM5wc2eoWae6CJi0UjyeU21WlIHIS5o28RdKzCzmqvnV3hxhW1CqmKLlyvFZNxj8oX7lE8/Ru1I9n/pLl9M94kHG6Rv7LMXBhw+fsrf+N//x9zegr7epddsEFRPiTYyhrPbVP4pzVbE7Je+yF8d3SJeFJz9ziXD81NkWbLlKxouGB+M+en/wV/CbUXURcPlv/c1zMYey7pB7F9SF1NOP/iY/+R/8z4/+bNf4u6r2/g3cq6yGedegh8hThOkFATBnK1GoBCcTTxNPm69VIKMy0wiaoXzAiJBoD07HDFdTMhW8bVXcgDcloZsailmDXFyRR3X2L4lPIloSkXlJOpOzMwY0qXjZVGSKs1ShRSloZ9ohgPBahq/0PkC9PAioBlLLAIxL9nvbzILLpmqM/LzjLO0JMsr9u6e8nJzwEvFAU/GV5y4DGcyvGqTyYQJ2FMbGGcoXMmlvIOTkEUG8fPn7D+Ef+n9hL25I9iO0Pc2eeN/8l+hLKesTt/jo+MlVW8fJm9xtXUf4SJsLtkqTrk8u+Sjh8+Z3P05wr0+wY4j8mOipsdONWRTZqTK8jhIKLbOCA7P6P/Ou/zuOxVFWHLnyyPEyyu0TdhefYHh7c/hhiXuzpSn/+A3mc5WPIgKvrj/BkPxGq7ZJdQ5Y1XwpjV8KK9YSYFQ++TffcriwUOK4xNe+Z+9wmSrR6w9wo7x1JjgKVPf4C5XhL/2IZefLLCDhDf+9a9SfrzB9GHDD77zq8S//Hk27o85LM55M37EeDjm6tU7qM9toQPDux8vUHkDdSvfLCtNYBI+OzjlH8wUzxfb/Nf/+oQy3yH93YCX1Dt8j/d5vDfn1eNf4PbmHcLBFpW4xLoNIrHPLwVDzgcVs7hhJxSUS0hXmknxJkVgqVXN3iAnzCNUGTDtFXhhkT6gl+wxsCl1VjDdfcL2zoCdOuH7TyvONwMe7FuG729y2Die+4YvyTmv+IpXCPn+ZU1vbHljmHP+kWMwFAy3JdsbDctCkX4c8H4640AU/Pkg57FcsWgibi2GFB86eiZh0Ovx08EEW2/ya2cb/Gx2zLCfsJ3cZX/ZcG5mPHKG19jHOs2idiSDAOENdVPxT4rHFLZPkN3jK2pARcqyviLNd3hoBXN/SNysUL6PFhN+8q23GYQ5lO9Bco+zq0u+8Z3fI8v2Odjo8Zc/P4DJT0GQ0BoqDWnBoQU3UrN9Ws0ftJK0lnHUSuBKWsrSDpC2wAwroGifX/EdYNY9GQ7axNE1qJVU3BgdbgEJ2GOou0FaUtCW3yOuwTDpYfgKNDXUBsIGkhD8jX8TPgB1AFx2x3LZ/o0DWqBoScv8StofEbeMqeukwvPucxHwjJPDObPLks/eew3Vr/Gq4Oqb36d3b5v+vT3gJ7vzc9Z9j/WDPAcxRspt7ky+RvFJzNnjA/5Pv/Y+q60c8VLN//grt3nl9j5333iZbZtxePaIX/973yT9/lOahxnDQuL8MabpUdoNomiO6NjIZdnDBR5CQ3IMw9CwsV3zPLqDLWqiozl3yppSWM57bQ0RDQuGuzPyQ0NYQIChHpZUjUfUsBK3kaJAiSmPN55zJ77irWHO+znMkggxChBnQ4Rt2XMbdY1NHI/uC+zTHJ9F+I9ug01RsiHuZSxuh8zuSAh7RL2AXiTZHHtU1dBUkstGcWH2CKxl015RTHo4JPrCM3cGEXkmtyU2qHG+pqcXZHmM8BF74w2sFBjr6ZdLkihHRDWDZI5sFDLTzDdjnEiIKk2cZvi4j4w8r409fpFhS4u6HbMM5pRY4gvNlkmIfcCh7LfEt9hyuSUYk9D3AcPMcBVlpEmNHowRWYVqUpLNW9hZiMsqJsEUYxMaF2Aqi9cZUlVsVgml3KTox2zMT/B9iR1UxGITEXt+KCPoRy5/KlDKdQl8Nwz89ej2xU92xeELINOnC46bQt862/l2aIJAYRpDVdWMx6N2ttxa6rrBXMcxi1Ya0+3jjwNfXpTrXB+Xf+FYRCsvE100e9N0ZutKE/X6eGvamd8wJNnYIhqM+PJXvsp7773HcrkkTZd41xaGxrQyQOcd6XLJxmBAFMVsbm2RlSW1WYNxbTFdlxVVc0XVNEyvLlFdAhiiLb4cDucM6eyKpshweUaR55+e5f0TrtU/q+WHt/XjGp1fy8ygLSalIOgKl7XZsA4iVF0ja0e1WiC9a5l41tA4i3G2pbl6hxcWU5XYpsFZiwpCbFNTrlIWszm2rgnDiHx2SRBqhhsTZNKCP1U+B60QQdgW5k1NU1fksyuK6SV1VWKaGlPm1FohtEIFAaLzkroupKSkKjKqPMPUJQpaCWEvQQcB1hhMXdEYQ5zEjLY2WM2usM6iA42WAuEb6nRBGMRIHSCEoGlqrG3adasC5wxBFFGWrZQzCUJ8scBUBWlRoLFkqwXT6RyHxFjP9OSYdDGjLHMcjuVygchSGltTN4YiyxkMBwRByMbmJlVZY40lUII7O31WpaO0ML24oCoKhBAMhgPqsqCuS5ZpSlkUOOvAGup8STY9J704pd/rM+j1yVYr4jAgVJKmqltJh5SEspW1Ka1IwoDGKhpjMVq3hbFWbE9G2IuAqW1ZKEqqa3bOuqC0nX8SrFkqXAMdL/JVrjk3L0jFbpptx0qzlrKu0VrTNA2msWyNJ5TWUZQ5eVXhwoDaNh13p+0bgLYNWcsiK1tGmGn9zpxzrXdYWWCtY75aIqSgsZar+RxJ66lVNoZ33v8YU9VcnJ4xGQ5ZZQWVEKRNQ1ob0trikwQbKLL5ko8+fIwQ8PLBNuMkQSuJbzpvgo69JNYu0GLNZRLXBXp7vzq8Vx3L1d946fj163WiXwdieTrTdI+z7mYmTaxBBXEDPLc3Ou5Hle5i3ff+iP7l+v8XnhKe6+3Ia6Zm2++vPf+SMER7hy1yZuenLQPWe97/4COGowlb29t86Quf7wDnjKDXa83KCXj26D18ECCiCBmFDIZDNjfGjHoRjWmoipJlVnJ4MUU9fMrZfMWzw2OePHnKneCGlfUCdPZH9IL/7Jf1uXbOUzU1a9ninx4x6fpm2nOs2xZ0cy9dg0Ld/SVvmFASuQ7X7Laxvv5cTzJ5f5Out25LL3yL60O4vuov/N292GblDUi5Bok8N+N9v97GNQAtO2C0neVcH0/72W4CTLUMvZt1b0A+v0ZK8ddsLO9vjvfPsgQ2aD0WnUHWGwgUPizxOkbqkoAGFVQ4pakQiFwRCk0vkgjbfWkpKaRC9RXjUUia5gxFwCRO2LyjmKWW9Nzw+u4Ouqnx2ZzDbIxtGmyZUUmJwaOqEiNqQucYppJpHuKNxLiQoS8RXlDZMS5ocF60Hi7LGoOiavqoEHQsSXqOfDHBOk1pllRjwWBrwGDjDl41iF7GJGlgc4ehUvzcX/4F6ofvUcwsp1cPyHsZQezIlUALi81zZh88RX/1Zfq3xox+StL7nSlFUXIZOUbOI6RnVoScnpWsZhmLB1PkuKH2hs3c4SJHGkhWc8mTJ88oV6dwXFHOBUQbqKBBWYV0LdhpUFgnUUuPqlu/yHIg6TcG3XhmUWv9IBEUWmCCEi8tTR2ipEFIzzIIqOI+jQ6hdESVQ9aOvjGkkaPQApVK4loS1Z6lUkCPvoupdY7UHiTYOkIIg1QWE2oKAdo6Xt2YMOlrIl1hvSJyQ7aNY6xqVt6zaDT1pcfEFtGzyFGKFxWGmpgA5WuUW6H9kMoLch/inaE0ljS3VN87I65LRrcDZu8eol6t0TuOZCOheuxI3z0l7e0TH0QEWysarlALhX5suVRPmOZzTDDDJmeIIKZnJVhP4yvqwNDH4JQjUg2p0VBI/Ax2laIcR8h7YzbjIcFMMDsuOB5eMlCKn2CPB+U50lpub0hGwylJdELdlOhwhJMhl4QY5khXIptDxFWOLzTm9TssGdPLQuhXRHaObyqytEQkK8xsyvcfPOVpVqFdwtk3H7N64qjPc3Q25MnjC05Wc+zU8WFc0ducs7ERsjXcRt4ZsaweUT9viHTFV39qi6yM8E7w3jcesjibI71Ebb5GU47IMsvF0VOm8ZJg3JD4OX1/RM8uWSyvGOkt+uGIc19jiEjQ1FVF1CTELmRIiQ0MJmiY+JBaK6pIMPCKWvXwgebVzT7Vccyy1tig9dIJloZ06HFhSWwWLGpDbjxO9FAHa7Y3SN8jDCw9YSkNyFzBPMBsauKeppdrXDOiViEncciIFTNtSeOG26cOtMYpy5tvD8iGhubkOUfuM8gGFmlEJBbYICeRkkXsscJQKUOZaWrXcGlTXL1F4EISYVipiMZ5fN0QY9DGkaUrrKuxIqVQBf1DR8/kqKunZNueeVmxNAnGVxgvwEbdg8PgWXD89BwpLQd3PbDV0kKuTdDbZ0frI1XTMqU0LeATtuwjH4LYpAV+bPe3CWumVvt6LRXMaBnrXeIfDsSwldD5HETS7dfRAkS2pUdStYwkr4Gmm9VZb5vuuOpuvY4lJfrdPjuUnJhrRphYf6/103qba+qy06i6QaZLLk+OUAPwQc3DxXP6R3NGzZy7L79MmV5QpKdsHOwgZYIzguV771DbCKdixjt9xCgj2Uy5/1rAoQ25SqE4CplLiyoX/Nbxc05OTzg9PuKnBmHHXhoRbhR4Y/GlYWgNTejI++BOHcJ5lHMIC00jSQsQxQpRC0wVkwpHTSv1FL0CnERMY3pVDlZw4QVB3iZXywBSvUK6kn5jmCeWea/hgzBj5STCWLaygkxIvGqBsUoprJeQQd/VuMCSjQzCVmhj6VcWm08oiwGFEARxp6g0bayKUIphHOExKGVQSUSsJB6F3O6DrxDKEQiJSpJ2hOtTCCOEb0MMvG6bQ5zEqEQgdMiADG+GQIiLQBYe6SxC9/BUCG/RgcBFEolDoMFC4gUei/Iai2JjXNMYifWCSEaIKqSuFZFvGNuQxGkwiiawNKHHhRY98qhYkIQRdSkRziNHCu9UO34wNTLJCOOGEodMFCISiNSDE3j5J4+Vf2xQCmgHeF0ddDOYfGEGHK4b/4ug0LqQXMtdWs8mCcIThiFx0qMXB+R5Qd00bG5MkDhsXTCfN1SGbrb0xWLgjwekpLyRFv5RfhrtMUm88zSmQIjWhFlHIdWqomlqStPg4x6be2NefukeV1eXVEXG1WrZev0IgbMWHSjwnsV0ysHeHr1+n83tbU7OzsEXnScFGGtZLpYss5yqrinK4sZ/WLbx11IIglDRlAWmLDDpisp0EdX/nElQ/zSAlxAKJQRaQeglspF4IQl7Pbw34BqK1QKJIwg0tTXXhraOLinMOuoipbYW6yCIY8pVzuz0mOnZOVESM9raYjU7J4xDimwbryMMgrLICQeD1tBcyVZOt5hx9fwJtso7OYiiLlIQHic8g8k2SHlTLItW/lOkK8pshXeWUKuWUTcatpIua2nKnNIYwl7MaHODCyVxEgIdoqTHNyXV7JLe/l10EOK8p0gXVEVOnqc0TY2UkmgwoMhTlrNL+kFIPT2mTOdcXV0ySEKqsmaxzAjCCGc958+fUNUljTGgFWnWGpkLLciygnS1Iu4l9JKEzc1tsuWSLCsIpefezoBp7phlNU9PzkEIojghjmNMXWGMZTqdtjI/rZDeUS3nuKZiOp1z78494t09ppcXbG+MCZKELC1aE3Uh2uRF4QkkRIFGyVaa551GBZogCtkejVjqAIxtWTaqlWaJNVOKFpSCPwxItS8/DZa23nAv+A3x6T7KOEdlGqIOUCqriu3JJvMi56rIyOsKVwVUTd3uyvnWxNxYnHVY0zCdTmmMwfjWLFmKNl0szwuqpmaxWjGZTDDOM1utGMQJ1nuaAk6+/4AsS5nPZvSSPlEckYxH6KbBBwG58ZgoohRwtVzxG1/7LkpA8HNfInn5NloH2KppwQIPUnTgm4TWkelGb3ft6eRfsIV/wbTZO3ftN2X9TZKfXYcUWIeT62KdG1BKiHY/rGWV4gWJ1/WeriWWa2jpU0bqL/YtLwAUa2vrNkHN31zHTu7ai2OSQBFiWV6et6Cwc3z/vfeIkh4bm9vcuXebYjEjm88Z7e4TRCE60Bw/f8K8KCkRvPHqfYIkYTQasb+1CbT+XYus4uPnJzyfLnj3vfcpigLXNOzfb32l/qxJbH/WxTlHWdfX4J1/of3/yY+Im2MXovVqUx0otfbgun5+ixtGleruZy3ltZn8erj7otl+C/DcpClaZ6/bQwvwihuQad3DvkDPW8vxAPw149HjxQ0oxQuDm+u/+7bFtF5SDvdDwYSfAkA7BpR/oW3ZdSyu//S4ZZ1O+WcGpZoIZ2sKZ4jyTXxgacIVQiZI5VCqIdI5tQipG00yU0RCEfcDhCiRUqF0SC4DRoOAyU4MJ5LdMOGV4Q4bX4549GzF0cUVb93fRpYp2cWK4mJIUa+o7ZI8SfDeExQZeVCT2JqtRcUin1C7kEZoNuSSxsdcso3kHGfB1BFpk2KVxsQTVOQJk4bNYcZJuc/UNajsjGYDBls9euEuWfIxQpdsFn2q5D6jV1/ir9+9zzv/XsnD1SN+sHqfZlATRwlpBAOnsFnO6dc/pvjiawzvbDLcsiTfC2EKx7EnagS1hWfHlu+XUy6vFjTPlsTJlERadgqYjgV5qDHFkOfnJyzOc5J3DcXOPjLcIggPCSuB9JIKTynaNK1gCmENKKgHklHaEFUNi54jaEK01aRhQNMv8aqgOdtCaIeTjosgRExCRGKJDheEpSA2nmFkcCOwiUCex4waQd8KjiLN2PYYuz5ZeIxQNc57mmYHrSuE8jRJALJBmoaD0YjNviYOa4xQ9MyEQT1AhQuywLEQgh9cFFQ9S2ULgr0FjXDUUpDYGO1TtF+By6lcxByNbmrKvGY2zVj8k2ds3tX0vnrA9D9/BqpA/JRnoBXNrCH79jmr219ExTFhsMJ4kFcG9W7B0c7HZHGFGAvs+AgZbzAwE7y1VLKmCnNiF4PyRLpiudrAZiEm63F3ZKl3HKt9y4bvUS9Lnj6d8eClB9webHCr+RwP7cfEWrO7G7I5OEaFJWU9gvgnMKrHIQneKKQpkcU5etWg9QDxswcs9YRoFRCGGap6gk1LZk9HDHamNBdnfOfRCem2oG8Knn3tAU0RU5WSntzl4dND6sOKO6e7PI3mRPuKn3lrxE78OTZu9bkg5Wq+YBBY/sovbXI57XN6UvM7v/J9amfpb04ow1cpyJgVM77z8TN2xg3be5qhu2TYFCRFwOFizuboPr3BLp9Yxb7ZY9yMKYuCuEyITUCfcwptqUPPuAo4k5AmnoNGswpjmiThlc0ex2HMzEQgQ1QmUOeGqxFoVTEoKuZMqcUmgdpA3suxQtA0kmQxIFIl2hfECnSt8fMI+/KQgQzYrDSrRcI80Jz2FV/ijLnyXCUN++cePzCYbcObXxqwWOWcnz7iqZ+j6oDmShAOLvBBQ1/DpWsnUwLfkM4CFqbkMSui+jUiIFEpM1oGN8bRo0Y4Q53n2KAmVwXH5LgnR0TzEn204uIO2LhPqPcJkgUqtFjjEc7iXYX3U548eI7Wjt39TaQeIYSmBXnW5uYWfEbLdiq58Z7qHh6iYxz5NTCkW6DJe27MzUPgHnDSfeYAuGhZVmoD/KJ7f9zt09OytgJaoGkFati9vnlitfvyIBpg3q4rom6dQbe99bZM95MD1c13A1rWV9H+zSaEVpMYy/nZCXql8IHn4+UJ8eqM8cUpu/tvsbg4Yn52zHDrLZQOcZVm+s4Dsqqi0hrxX3uZuheiNh1f+pkB8XGAOa5JTyJOlhXnj074d771feZXR/j0lM/91beovSaVY8ZbV/jSAyWDoiEPPKsJiPMG7T1R5x1dG0FjFTqd4Ymp1JhZZLBW0lQRbGQ0jaY8HrApKkoEp8DGqvOjjz25ukI1Df1GsooFi8Tx7SDHW0G/8GwVOTY21F2YVUZ7evVcsOErbOwodzJcI9C5p586zHxIuRxSSEk/9qBAFhq0QknNpBeByRBBA7shwVK24/DNhERIcAZyAfFGO3gvHVGYtNdM5kjtkFoRDEaIXowIGoYIGjaxhDhWhLJuW2m03c0oO5ABMu7MyouAsJF4L3HKkllNLRW7GznLOqBsNCMXMysCykKiepaJjVFOY2pH1jcUsWelG4KRJxSC2PURpcV7i9rQ+ELjc0Xtc3RYEowEy0gSKE0gBPbStIog9SdTpX5sUGptzHzj+9BJRqxY1yefWqy11/eUx7UDKqVw68LSe7QOOpNryf7du8yurlguFiyLilGi2JrEvNJfcJl6PpkJqubFKeE/bpb6R48epWwH1i96jmjdvq7rBinBlBlXjz+magzGWB5+8D4ff+9ddm/f5Se/8hV27tzDC0Gafg/v2/WTfh9k6/tSlxWPP/64HRRLEMYRatkaVeOpG8Pzk8t230qyORxinacxjlWWYxuPFw7nLLu3bhHFMavlAhZLfFMjfhz+278Ai/M3JvKrugYBm72Yr+zd5+lsxdOrGSE7JElEFEi++3u/xWqVcvH0MUF/QH80pjcaMR4MkIBrGj754B2s9+goZnF+RDq7Yn52gpWwees2n/niT+LyJWmZM11OKRYZdZYSCIEzligZsH/vFaZPPmJ5fsbi4hShNeGgT29zg82791ovMWvpRREOQdkx6IQQCK0p5mcUsytMnqO8w9SO1dWU5fRb7f1gKmRtKC5qPvp2RjZfgRTopMfV5ZRgkdLvr3jl1TcIen2Oz845/uRDsmVrPr5/cAelNLWp8dbiVnOCoOLsySOWiyWL0jKTLVMiSiI2YtDSkJc5WWloTFvOWwQoSaQ1w/GE/mjMeG+faj7DViV3Dva47FhRT88zZJTQn2zxC1/4Ct4Yiizle9/7Xufp5cHLlrloDIenZ0RXlyghSIuK5XLJ8PSU3Vt3udraYjgYUpU1Ogiuv0ugAwKtmK+yFnBSijgIKJsCm2VETU26nOOtQcrWkykOA7TULWuu86JaXwugK3D9jySKON+Cu22iYcuGWq+rVHuvFmVFL06ojCGvS/Y2t7GyLVTSfEXlLEXZYJxDS0moFXEcIoIAayR5lpLnGU1V8JnP/wQ6iKhrA3iGeLa2tzk7O0cIwXg4ZHt3D+csi/mC0tQIKdja2iAZjomimKQX0+sP0AK++9EjFpVBCVhcXfIHnzxBK8l4c4NbL91hMOi3HktetAl8dQne4p3vTKXXiZ83LCR5zRaFF37pzmX7Qrcv8LTAUBQoiAJUMMR7hzWWNC06BpsHbAcZdoBGx7a5Cc1bhwO0+/Evgltd8c81mCavr+Ufnnzw7QNXtCCY7w347Nuf463Pfx4hJPPLc46PDnHO8fHzQxYPHjK/OmVrY8LmZEJRN618X8BLb7/F2fERTx894t/+v/4NLmdz0jznc2+8wsv37/LWZ2Jwng+fPOfr7/wARJsEGcYJX3t2inW+Pbs/JnP1/xtLN15vZZV/6kMQn/pdrkEmIV74Oi8Ah74d51jv8ELgZSdHd6KTVsvr+7kFouX1fQntus61EwxNFzDivMPZtt1437Ui1963zrqOtdeBS9Cxla7RTq7TIvEI569BzDW25b3ES/epZ/16Usd17DspRetbCKytAtqgAH99Lpz3GG/b7/1nvNZV9RKBP0fLS8Y7U1ZLC5et8WczMCxe1bzydJfVsmSWL3mprCiOHJ+cePL7kp005u5Vm/gpVyVCZDz2d8l9wrLp86/u/BLLxYc4fp1/JB/x+hshX/nFCT/7zSknhyXvPg04qmsKpcjDADVOyOKYR+EQ9WxOrykBOBwahC3Q+Sllqel7zX2peb4tqEcOuV2ze3iGrzwnqscbe+fUleXReYmXDVmU8cmDIwbPY/LS8dh/k63t59y9d5e/8BdfYe8rnyPf7lFc/n02j2Fj4rjzV2GyfBMxF+w9zvgnf/u7ZK4hKSMGZUrPK3pVwGEZcFRYer/xNQyORHv2Xgd/z9FIy6OPQA0F0tdE7hl3//zrxJtj3n0vZf58iVtlEEDql3jjGdocE0X4LlGzDmaAIDqKWDoQYavE0VUFvibdEa2aRgD7V0QLR1wIiD31VYSRAcUwwWpJUwekgE9BppKo2MD4BSuR4oGrrSsuBhdYYynmm3A1ASTGDDC+QQyPEF5gS833vv2Ag6jPF+68yZd3tjkvLJdZjo/uYW9FKEImD/4xT56kvPvgjF/c/CzBSJImFgYrnNNU9QFXp99iKgKmesDbj64ojnOODlPi/Rr12bv0vvTnePXtOUsbcryI8Q8t+VPBeSlZba0It/tUo/uMnp5x8sFj3v3Wd9n6kiDa2SLov8KtjQlxHIGrCeM+Yx8xrkacx4YcSVkF3H34DquLUz7ePcI+2Ce6DNj6QPGPNv4mqme490rM5Psl+aOUv1M+xZ9dIuqAyv8UafaI3s4VW3d2GG7s42KYrzawv/V18rMVR+Z19n72qxyMDav+KW9Kw1azYNs848GvPmD6ZEGeNciwBft+IgiID7bwO5rlxjFHv28op54xAnG1Q8Mez1H8xf09Xrq3jY7/Iln+HWr9fT77uQB71UOc1bz3+B02pq9zj7v8m//r/zl1PGe2XPLr/7fvoNwhNryi9+Wc6OkW6nlC8fV3eHgoEFdQas/lF2vkG45bb3yeSRwyCGsuxQUTEQIBU2EYrcYcLHs8CVJWeolRJUNzm9wtWTVXHD5MmUlH/vIeq/c043jO9uYM970D5lYy04r4yym3Tj23jhdwtkSmEfF8wtwUnDr4WPb4C2+XnAYNT2XDL4QGcXJA8fSA8/IbVINtbP8lnHwVdTIl+ui7nPylHoz3iZKYSS+BZITajjBpTehyemlEUY3IdME8yLgbL/B1SJnGPHI/QNuMl5uK/YMEoSIa3+My02gfM5YxH1ULtO9zoF5lez+loUQvUnr5Fo3Kmb+ectuMEWJAniiMnLKyBd9+v2Dy0rcwMuB8kXP86DGB9cgq57NfeZnBRo8WxFmbmBfd73XXYxe04FRKK4dTtCwp3a23TsaTtDK8K27AoLL7vaCVzg3bTkPF3Bipt2bh8IQWLBpxI6/r0Y7hsm7/CtilBZ/othfSmi91rCoW3b4brlMCsVwzsTDARft5EUE4ZvLaq4xeVnhmiMUp1fkJH/z+iKMi5QN5SfH0bxANY4J+j3z5GwgcSjk+8y+/xeLwmLOPn/D3/+//Pl9/d8l3H5T8d/4XP89nXxnzRSUYuj5f+733+fVf+Q6JWRFhKKTl//JffoioLNu2IT2+RTPKEXdnHMoNRvOaVz9ZUdoUEbd+9cupR40E8b7k5OEBJqmQe5fsp3sUmeSkNsjRLqquCYoVdWVwMicOTynRVDiEO2UDRyMGHEZ72EcFYuyRL0l2kxXWSR6VO9jgirgXsjnep3l2SCUcy90BsmnolY7kEzjigFJZnk9OEDZnT5T0wpCkNyLyGjFzuOEVJs7IgprBtCTwQGMgC1sn93QJ21sQSehdgqzaa9zr0RrVByA2O+A0gFHStb0a2EPj0Wvvsy0Hm53Ek7jDNvP26oeKYK/Clg2udDRzSXjQoxeH8ETiI4ELJbnqM4lBB470bkBx5WFu2WwETgxp9JCdyqBKhTCCq7BEeYEMPbKG0FoC5Zi8GlMbS1M7btUjlo1jZRvkbQU2RjT/DNP3/tDyAmnnD8no1hISJTtTaXk9xI3jhCiKiJKIuouPB8Gg18M3NdnmhMI5KgNlowiNoHbrItSjg4A4iQnjmKauSJdL8J8eMN4MTH/4sD49OwpgjOk+KzqvlXZPzlqctQjvWM2neO/44HsRcZeUsDao1koRBhqHbAsV51CBRniHrevWG0dJtFaUZY11/jpa2nuPsQ7jXOujhUAq1TI8bBvV3Y8143DI07Kgqf5kk7B/XssPG6K3vjKAEFR1zaqsmJYVt+OASy0RvjU2V1Ihlebg3kv0plPm0xlnjz4hHo4YbGwh798niRMCpdkYjSiLnKapWFxdUaQrvDEMBgMmm5ts7e3RFAPc9JJFmuLqGtfJMJ11NEVBPr0gW8wpywInJEoHICTeGJqiRMVtKlvSJSMEQUDtW2ZMsZxRLOaUqxVVWRGotl3aqu4Mr+naOzhryVYpVW2QWmEaC43DGYtCcvzkE0QQcblYUCwX1GlKXRv6vdZvqy4LrAMRSMqwQroaiaOoGm48/gWjRBIqQbZ0bbHs1vdjy6BxHkzTUOYplydHmDTFNXVLVK5qnHOsyhppBH0Vs7u7w/7OLhqPrEseHx1xOZvdxKXjqU0L2Ao8VW0Y0XpANWXOai6wVcV4a6dNLkQQak3bJzsaW7dJklJSGYullfNWVYVtDLhWJqakJNAarRS2S6ZyYq0Eu/GQEi90RJ++3zuja6VQXTqec21i3bVpPVDVNaEOMM5SViVKSXY2NoiDCB1GeBWwuDilsYYSiDrQUMgWjLamosnq7l425GWBt444ChkNW480pRRhGGGNwTqP1Jp+r0e2mHF1esimVEitGARDjMsoqorFYsl0uULJ1mw9GgzQWnGyTPngyQnTZU5fSVzTECnBziBu+yQP3q1lfWtz/q6Yt+6andIyp9p/XgQi1t5RQghUrFmtMpZpxqOTy/Y7xxFv3r3Vrd+yS9Z4ATcEqk+xo9aAVPuZGynUp0GpF5lusI5rW8vTfHdMa9mgB1SgUIFGypCy1yMe9JkMEp6eX3I5m3M+38AL0SZNCsmwFxOHAd/79d8kXS1ZLhY8OzklK0uMMTw/OeNgf4/ecIDvwjYa0xBHEd63bb1suqTVNTD6pzSU+uPk0H/a7fzwJNELG/3xNiLa4AatNUrLa8nnWq56fd4R17JrIT5FUrqWvQnvr02NBf76nhR0XlNdv+iF7OypBHaNdwPWg1un7q3ZUawZe/7adHzdZq7NzQFEGy7iP3VexDX7z/sbkKltR74DXWnDFNbrdMeLuAlpkXTJe/gf/7z+EcsmOT6UVOEQVobSGmxsSJYBNtM4q7DWYkWDkTWricdGCUQ99uqGqPbkbsbWXsxge5ve/i2u7pXUTYizfdJJyfiu5Ge+tMX3Y4WQ7YSfrC3KOAIhMErRi/vcGW6xeuMWaZExOzyiH9UgFaZKsMagraNvKhLfyqkXJMgCQhq0mFOVFiE9MQXL0rTPyLEhWBl6YY+x2+a8CxG5YyyLh085Olvy+6uML3xmTKRCdpsdZDMDPG5kITQ0WM7dlHrUpv9kFwua/ibxQPPZ/YonDzPKqiTue1i0lvzlBohpiCljbGrY6il6EozNuR80bE4cL39uwB/MSs5WBWG/oZEWaz11AraU+EaitcPKBi882mmMjfBeolSJow8CYrVCt6eVlZKwaoMn+qZGeUcja2ygCIxBO0M+6BxcvCQVafv8N4qeMZRla1/l+1Hbh9oSrR2OduwxTB1NqakayYmuuDSCzCTc6+V4K1mtNAszAaFQWvL6xuuc1CsORcoHv/stooOI+KUhi4M3CXVIpBVqoNgsLcO04OF7p2RXKdurnM23P8Pu7ZfY3NoCP0QuLcmFZdo8JYvn2NsOcZFhL+akuUY/rUnPJQsz4H68SSITZNawuRQkXqBjKANQXqN9H0SJsBZRVmQPnrE6O6WYL5inPUStmfuaK7skiQV5ljDymtLVPLp4zFZT0DeaUXYCz5aUVcjZVoh7/BwbLDkUBwzdjNwveDbVTN7YJYocaX7EorKoIGAcrOiLlEzmvJ9WKN0gOv/LL/QM/Ujw8LSPLxY0rsFIiaRsbUbiMaduQbPMad79fYx+gvJLtvOA5nBFnVU8O4l4LV1y0Dund+vzvLz/Om9UnsWXv87Do+ecrArMeUReGnAZ9axCFSGiUdjScJsR29E2fXuJqGfUXsBQUFNTkDM0DQpD7T3LLKaIc2wgOW0ky8BSUrEqKppFirqcs5VO6asQOT7A+itclOFGOU0s8ZsGIWtWgcE6ga09TCJ6lUTWknnYw1Q5gzTnaROyKT2buwXDapcwCdgYLAiZk6mMRWgwRxUUJWKvpB6DjiK2wg2GwYhIB2hK0tkCuaoYNhXBSzsIHSFUAJFAeE1YBkjvKF3JZZOydAE9qRhHA4L6DA3IQJHmCkuA8H10orELS/NwQXUwg9hT9oeUhac0DbbJmT1bIoSmshnpSBJ4WJmSs/lDKnHF5nCTyrSu2nE4oQVv1k+H1vj6moHkBS1IVK2ffrQylzUld73u4mYdetCcU+cLTh5f4qkJk4CDN1/pWOZrDyu6zw+69ypuJoYUsMmNhE+/sL91qmDe/XSJg9Td5xU3Zf56yk9fb0uqNvUeNmBQY6uSJNQsjhd8PD3n1sEBIxHQ15J5MydQFiUafvVv/wbN3FFdNfz+R1c8mjUsFXzz60e88pkNXv3MBLkoaETOsp/ST2J0XqFWlkXkCa0l9jWyWhFnkIgB6SSgEA1z5ekZhdGKrKfAljgtKFPVEoFqBYuI3NRUOIhqVBYiaDC9mlXkCYxno7Fk3tBoqCPQjcS49jmrTYDKHOGpp4pjjLIYVUDSWsX4eUbZKGqh8cuITJSY2iONwY0zvFC4asTOvmR7FwZCoIVHKAvDCqE90gmi3CGbuE2MsQISC5EDqWj12gpkSCsZpWPDBd1AJETQSTqF7K5lAgQI0nYd12vZc8JDvYQgBD2EuB23tGQKiYpSpKxAxGjRQ1Ya4oqoFyIijZUWqR268cTLHra2eOGwE4OWml4t6WmJCTzGO2gatJZtXVPbVgUUQVXI6zpNSonCoFyNWCmaqKKO/xmm771YzK0BB/Fiilm3rFOg2tQvSRAolGh9lxpjiXs9xpMxGxsT5quMoigoi5JeHBEwxO1t88nplKK2KO+pjSCvb+LHwzBkONlguDEhXS7JVunNvl8YmLsX5SneXxdJzl5bAHcMqfa1lLKbqQUhA/AVUkiSOGCV5VwVOavZFa+/+RmcNa0EUap2QK8UrD1ZrKXXH7bBbtaiwwCtFVGgKKsG73w3k9x2D2XTYGw7QGIN1GiFMxItoKfh3taIq8s5i1WB7xKt/rm46/4Ryw8XaNfF0guF/1WWc7RY8ZYWJMKDaRBaY63DGMedV95gOLogCp7z+B//DiKK6W9uEQ37bEy2mPSH7G5usZx5ZlcXZJdnNKZBIhhNxow3NhhtbFLECVlVoaXGmRq/ngm3rW/V9PAp6WxOXdcQhMiwTeewVUm1WKA9DPsDekncUlURrJqabDkjvTojn00p05SqNLiwfWAZ43CulYuF3fV2zlIWFcaCQtJ00e1WKRSCR+//oJ1TaQyqrnB1Q51nlPkEFTTk6RJjHDaQpDpGeodSkrpxSLU+155hrIm04Pm86eLP2+SDtrgCaz1FkVOWBbPpVTswdC2AFQQtYJqVBrAoHTEZj/jCT3yO7cmEpM741d/8LS4uLzC2TcYUwrceb861DAgLYRTT7/fwTUU+r7B5xsH9l1r/YuuQTlEaS2Udxjt8ixIgRI3UmjBQNI3BGUuHqqGUItABYaAxzmKMbf1lxBqvuGFK3hSTN22yxWBc50EEURhijG2ve9dWpZQtKBUEGGtIi4zRaMz+7i6DOEYmCcp7rp4uKTtp5dbeHUQUoIRnOBpi65zsylBVJRbJYrlCWI8ajYi34q5deIIgoiwqPG2BPBwMKBZXHD76BJkM0VGI0pqyrlllGcvFkvl8jpSS8XiDg1v7BFpxmhZ8+8PHbI8G7G+OqfOMjV7E+PX7RFIihcd5c800uhFY0aaXecs6FBTWHjr++qT5dSKeUsg4YXG64vHzY/7Ob32TII452NnmrZfvtO4FzlN714a9dMmQ14CoENd9nBcvFvQvCC1dK/PyHTAprt++MaJuZVvtdqSQ19fbuW4awHdM3SAgSBJ2xkNCJcmLimVdI1cZdWOZZzm397bYGA34D/+f/2/Qmrjf42K+uJanPX5+hNABk82tzhTeo5QkCjR1Yyjr5lPf4A/7Fv7plz8sLf1TrXz9658SGuvWEV3SrCYI2omC6yfti8cjOmnfGpR6gZvYDt9bKlVtPHiBk7IFokS3j47R6LvNKtmOGa735T2yQy9fPJPet2CVfYFdZX3HUF8zpdbtw9+05bWcT/BpwGkNyK6DwQWtd13LovLXBuvr474+tjXj8M/4yN1mziIKWfRH5FdzTM9gB4ZgGqIrhV1IKllSypI6aLjalISbA6LJPre/M2dVLLn0U166vcfBy6+z8+pXuNDf4OpSsjoeMB1P2e0bfnGwz+H7JdpYmrllPnfkRdt3Vzpkozfk81u3mH725zh+/pj0ux8y2KjxskdZ9TFlRWQrhrZBCUvqFSdeMlpBkFeoZU0mY4JYMKbgcuWpIo+5ZRk8gL5O2OYlPlJzYlXxFRfze4dPOcuOePTdK279Gz9BbAW3i32uKHHKUypHNczJi5zH9RG9W28SOUH+9IR5/3U2dwZ88e1z8rMVU1cx2VL4laTynuOhRX9vjL+M8Vh2NwM2Y0NByqsU3IlLtl/a4vl7IRcXknDQUEpP46HclrgjCcUalLI46QhsC0o5F6BUiZEjBAE9uaKvQCpJFgQ45fDeMGgalK+phKAuEqKmQWNY9AUhMHBwkVQ0eUhYhOyUOaQB1gTYUYyTFlgRBAbrhzifMJp7FrUkNZqTQcqpl0xNyOf7C4o85qSJObdDpHUkoeOtzc8z6V+gNp/yG/+7v8vBy31e83eY9V6mP4zQvZBo3KfflCTLkn/0/TNGxYrX44pbd3+Bya09NkZjLpsQV+T03JSnHJINLjD3HfJbC5qhY3FZIB8n5JchNjpgPHiZnq6w6QWTqWOAIIklx1q0M/0qQVmHqjLkYsbVe09ITy4wjeXS91v5pKiIK4soQ9KzgK3thFmY8/2LT4iFoqcaBsUn5KmlMBus3kzQx0+o0DycZNyXS8p4wXE15zN+SWw89eyQk9kFuY4YqYRenBGNKx4fNuS+AGsZW8nPxwX70nP2cBOd53hqGueQQUoQOqrehIf1GY/OluQX7xNvK4ZCEL0HuYdVFPDx8IDYLIloCAclX737OV5KJgR/7ZS/808ecPw+NB8MyFRBGZWcLj1aBKhehEwFb/R2eWW8j+ddpGmokQTxG9TegF1x3xhSWbOiJssTakKsqHlWe5xwSOXIqhp/tSQ8OudgdUS8+Rp+eBvCT/DjGWL3Ci+3MJsN1UbB4goyUVFRsrkzZphqxgvJOQnRQrJ9WPDBQcIbG5bb9xdslPeRekUYnCPqKY10zITGftcgdmt0XFDtG5JoxOZozCQaI3sOO0xpLs/Ri4bhXBDcfwWpY8LQExKiG4kyIaauWNFwWE5pRIQNhmz3RySrDC0sImiYzz1WakQYoAYgLxrsd6ekkzPYcpSjhGXuwVpWLkU/SYm8Yjhake3EBEqQ1YbnVx+QmR7D8C6L8hghI+Lw7fUDr/s/waPBF3ha/zkpGlr2k6UFjgpaUKmmNU4PaJlNAS2A0McVV+RnD/ngt9/BKcVge5uD11/vJuvWT6I16DDutpd3T1dJW6bvg6i6fa6ZUZZWTrg2N6+4MU4/AWIQve45tp457DysRNweu18DbHfw8QQxyulPNGk55+nhM66yXehLfKjJmxXDyKGp+E/+nb9H6G7Ti+7zzTzDxBq5HfO7/+ghmbnN5F5E/8LQuAy35wg2JviTFLWoseOAxjvk3KObS8LlmCjdIgsMhRMUseBuHVAFAfMkYBQ02ExQXen2GV1KfNFn2ctwqoa4Qi8SfOBp+g0LDeMC9qYe6wxWe5oYChPhfVurh1ISVp74yDF9tU/TKxBq2vrJlw3mbEHmNY2IkFcRqyig8JbAe/zGAuli7LNtdncDDvYFo/W11BY2MigFqgzoLQXYPgQKjIVh1l5melCL9hKqCGwG3rTglVinLGpgBb5jRIk1s09317oEN2xZVq6CYgbyFoQD6Ek0AdegpAa0IEiGMIvxuYCBIB62JKGUC0RsoYTkcIzwFU5X5FuGcCmJSk28pchpsN4gs4YoSkiiiDoXuNhiA0d65tExBJHEa4G0lsDUMI2otmqq0T/D9D24AXeuB9A/NBj3+G7g1sY4G9uZnXqHFBKtJVmegZI4KVksFjR1gzWGk6spw37C3t27HC1z8jTjMl1hG9Ptpg0KN01NkabkaYapa/6k5drPSkmkkh2jo25lLj+iECjLmqPjU5SWBEFAP4zawsm3ThhPP/qg26ZgvLOPkJLVYt4yPazBWUPTNC0zpLEIaVumjlYvMDXW50vQGNcyBbqBfhhFRHEMXhF6Q88VfHZvkw8fhZxMFdb8cMrhv7iLp73+Sgo+OTph1Th+5kufg/yC3uo5YvPzxP0BgyRBKkWY9BlsbBEkCeViTrVacPmDd7AHtxF373P5/CFXZ2dcnJ5Re4GSoLUAZzl+/pTpYkVZV0gBWgnqIqcuc+q6as09y4zl9JKolxBEIf3hgLxokzRE3MO4Gh1ItnZ32Tu43Xo+IXCPPmZxec7J+9/H1SVCQJIElLVFRSGjnQ1cU4FrC+ew16epK4ryjLv37iKEZ351SVZUBIFm0IvRgcZWNYuzc6IwbFMZ33yDi9mC5XJBXZUoKakKzzfOrpAKQiXZHMWkVdUahRvHR8cOJaC2HmtaFp79oRr5xdukk0vTMqlaqZcWMBr0GScRZ++/wzcvT9nd2uKnX7/Ho4e3mc5nPD25JNCt7C6QCtPJYfq9mO1+j5GSOK2RTYO2DeXiisFoTDLoE9LKnWyHHjWNoakNRVURRYo40OiqwlQVedPgZWsSqJQiCkPKxmBdg1I34JN3/vqeuWbkdMtNGpynNg2NNQRhRJxE9PtD0tXquhAtypy6rqnrhp7SjCYTXnrrbQJhSU8fcf7sEc8+fA9nKqJAEb7xJnEEqABZLpFVhvKGpx+9RzIcs7F3i+2tHeI4JogixtsbLcuuWDEcbpIu5zz5+EOG2zssFill1WCWU+TmmNF4RFlXBFEEXmGsQynF5tYm4/EEJRW5zvmDDx5ijCGJY6xpuLu7RTLe4NXbuwz7IcoaSCJWWc6H3/+Iq1VOv9/jz//0WyhruUbfO+Zbiy76NfKDKUvysuaTT455+Og5H37yiL/567/JeDzitXt3+PM/+RPc3h4xHiT0N8bt+t26a1Bq/ePFDYDxIzuINWVq/cY1m2X9Dy/Qr2T3f/ve9PKC1WrJYOuAi9NjDg+fcfvWbf77d2/z33SGf/9Xfp3j03OaxjLuRRydbLC7NeErP/OTPDk64fHRMVor+nHIIAlZ5Q1Hp2c8OjrCOpDeE2tJJD3uh9hBN9/z+ov8/82yPvbGGOraUFnfzmQKEC5v2W/d5I3oABohVdtfrM8/LTtqzaVyCErjqXzdTVjJFlz0nVn9i2arL+BerWywDR6iS95xsuXytZtvZ5OlaJ+d63a6htVYSyhfxND49FvXCY5S4L1AvcDkQnEjFeyCFNb+WC1O1rKurPdY/2d79j4YTNtjqDRSvIJfVvhpSrk1g0bhyoCpaHB4kjJBPyyoHqcs9DnzV2f4cAPO7/FodEYWP2LlU8yjK6pHGdNPchZf/OtMNvYJ9hPEb52zOEl5MEv5QU/iA09v29KsPGV/ysXtOebrA+x0DsDVvPUn8eKKYpBTBI5lIAiOb4F1JOEVd4ftLPXlzLX1Vu5h6Zm4MU0VUgCrvuOJrTj8+u8i5yFDkaBGO5S3FY1wTFzFf/43v8OwNLzZLEi+/BeoZcjsb33AR68VSFPySqY5Fo48VDRJwst5ys7MY1ZDvFVURcjDD+4QmAqVWPqXnqzWNLLCD06JXr7L5GDInZ96FTuMWSnB2+eKaHCG2TvlqgZdh8RIGhrERoGPFMXFkK3+Jj0JZXGInZTUkYJVgB1abCRpBpLo3NNbQRTBoGoTK6/iuAPg24a1Gmqs1vjDAYugptANMWCaEXWTEInnlEKA9djzGSIRyFcU4sk+mz4l4YrnftgaNgsPIbzbnNEs3+cnxWfRq2eMjy9p3n6VKN5AhROeRzXeSF7a3OR/+m/9r8ibc9LmBP/bn2Be6WHe7hP97pgfnD/ne1ffYNxv2N4c0NvY40S9y9V8n/5H9+nP+5jAUPRy7nvLk0vBg3cVniPUh475A8NrX7jD7Z/o86VfHHB5XiJjGN+fcDkqsckGk+R1xv0CGytM4nnpMObinYe88x/8LTLTg8E2+6NLZosjNne3uf2zX2AhTuhfNrz0jmBn76c58nP87Pd566+9xkbaY/Grjm9tfcKgt+SX5w8Iq9ucTitWv/X3+EH4EpNb9/nr/72Eb7zzIfWHOW9WQ+qnVzwpLF+LQ5rNinjo+cJfDPnknZj5pWRGwt96tGIzXvCqKahCTyViVFkS1TXaWPBPaKvHhASoLxNSJ5nbKUd7I/JRj5eJuBOOuOX73PvHp5yc/EOKOwk//QufY5m9ydg6rMjpH+cMCzjo3+PZyZLVyvDl136eu2PLUH7A07BCm4TEjNif3aOIF9gww/fHlHgyP+ducorzIQ0RC33IxG8zaW4xkMdU/RCz1cPZAE1GVJ7x2l9LOTpxzM5C7jypKcaGHwwl/qNbEC/wBzNOjmfY2GK2De4MgsWAxOzz1fMrFtbymwjuF3vsH2xwcH/A9Pk+r54rbp0ovu3ewxQxd05G+LcWDDYbxvc8wdUz0uMl58tTyveukK7ERSWj01vEyYhQSV4vPdVyQXN6QarmBPGEzwY7uEmCGwmK7QWXlSbMDXF+woEccVUv+G76kLfElxCzBH8+pH8xI9iOETsD6pXGuAFxs4sfLqiEYtnfYZiA054PIoc8Mujnjq89+oQLb7m9Cf+jny6AV2i5jQASmjl+9j2e1wt8MOb+3l9CUHEDREXcsKPWqXY94CH4K7AZh9/+mIff/pC//e/+F5jPvcntt17l558+RuxK6PeBn+NGeldxnZx3TTFX3XbXANZO977r1lszog64YUNtv/D+qlu/3213/fDTwHNaCeA2HD3BH77P4Lbgr/1rX+SXgrf4+//FO3z9WcZZdcmX6zmv30u4f6/Pv/Lf/cs8fP+cT773gM9OUyb3R4xeDfjd15csnr/Pb/xvv8e5DtCTmPuT2/S+bqnKHqmJGX9yRuU0SzYYsyDFcOEKwsucDRczbl7lCEm8XHI/veAwuEttDK5aIbYTAlcTlCvubpSIylHNJAtbEkvBRibIvCcfWh687rmVTxDWkPoV9VYNNHi34M5AUqcJz55tYq9OUcIQ1wn1fo2LBVkCNkhRPie2JWGZg4AqSehFDZaK5eSIT568xvZOwlUvZlxvEzgHcYWrh2BBJjPEcAXKt/I9t5Z+Bu1/wgBLyEdgNQwbyMuWBTUSYOfgSrANBJNO/qnALdu2opdts7G+xTPdOZhpC3TVumViJRpWHoyCjSVMavyw9UdWQqBsw+AZiHEDfQOvC2gMwjb0ZE3pY6pQY2RKWAk2cwnjPURTINKSaGOn/S7KMmkumRcDVlnEcC9lVMcMQ8WFyxnYkOFsnQL5Ry9/avnezYAcrlNpfsSg3HmPRhBpBV5ivcfYlu5YZjnWWpQE6Q1NUzOfzamKgjhQlGlGXZTYxiCVJgxCojgmWy5w3lEWRTtwdB4pVDf3+cPH9iMKBdHK41pz4BfT4T79edFR/a11lFV9PatrGoPrXMmFlJR5BkJQdfIPTyvNqRvTplk5j1KtRK3ugDBoTYlde5A4y3XxJaSgqapucCxRjUNaxePDc7K8AP7FBaR++LyvB/drRkpZVlxOr/jBhx+2RuH5kmcffcBka5vd3V22D26jw4gwsuzfe4ViMSOdnnPyvXe4OnpGla9YnZ2RLVcYa0GoVsLhYLVckpcVcrHCS0EQBC2YUVTUdUNjLLYrTBww6Q8IAoXE0whwpqFOUwZJD62DzndMYJsaU2acPPyIi6NDqrxACd/VyC1bKJCa3niMq0rqomK1WNLYrsARisneHjjL7OIcKXwrfRGCKAw6PxiHlxIRhMTDEWK2AGPw1tIfDtt0SLdE4IkCyXiQIJWkNva6wJIIIikITQdIiRuzYtX5N62vj7UG71tmXqAluvOdGg8GDPr91tT8aoatao7GI4Ig5mBnj6ahPTe6TSEyXUx6nMSESmPKisY6XNOAd5QPPiZIEoIwRIu1lKZt6tZYrDFUdUMQaOIg4PXNLYqioPEeKVUru6IF+dYsxx8GAV6U8f1xi/eesqwgaiVp/f6glclY0yb6AXlVcndvlziJscby+PEj0vkl89NDsqIB3xqtHz97Qtifggq5eP6MdLVgtZgjgxhbN3jrsUULLAVhyGI6baWYdcXWdk6Z56TLJUVZka+WeCRlUbKczTl5/pxlxx7NsxWuafDWsJrPKdO0Y761nlTWWlZat8zUpuJ3v/0uHz8e0w9DYgHRMKGoah49fMbVMqeXxEjVSau8g87bT9BJTjsZtdKKxWLB5WzBNz78hOl0xsXVlMo0pHnO4dk5/9mv/RZv3DvgYGeL+y/dR3bgxHXf2l2ztewK5whDje76wnXf0FgDHTAqOk8jQQs4tmbVa6+gtv3YzpvIe48MNKfHh1ydn6HjZ2RlQZbnLCtH1ItAhyTRgLLyGFvhRYDzErzi7p17FI1juszo9XqMBz0G/ZjnxxcUVU3ZNEipCKQgFFDkGWCvM3bWMjYt2+/4wyDwH9UG/1ksL04MSSlvZNN/CqZVC/oJnHNcTWf849/7fXY2N9mejHnt5buodlK4w/5u9iWvZcECRMuc7MIQgfbarPEeIUT3vFvzGLt1eQGDXOOL18DkWoK39osS139bw1p05urOtYEU+DYc5NowvduKkC8wpNYIlfcgXrCE93TMxZaj5aToMC9xDUy157wF5KT/s/k5Cq8RFoQVxE2OcQYjLLUNkYFARYK6bhCdLNWfB+ihZrQpuaVhLjxnznPxXFKnGavzY5Kyj5wLbFVyNTsnbgS6WeFmx5RpxXHZkCtLtNkjPNhi/N4MmzkePRWo/BlpndNEBvwYaR3SllBOcI3AK48SBqTFGUHmxjhtKSYFUTlAWMhsgxxUWNVga4UUHmUbhqWnimpM6DkNZ8jMEFmPkxVFYAm9QTSG1cUVhVfUyznhkUEHErN5i/DcYm1FIyW9eEAkIuaPTxCFJhSS3Bc41aCkJa4stTC40OESy/J0iVo1qEgxkg15XHD4akGRNfhVjDeCRDUEyrJYKmTj8Y3EeIWtSxprMUojHegadGNwqgTZoHNHbRROSBphqAcaLyKqVUAQarQShMWSwghKIRGTCisNjTAkhnYG2l3jr+A9UeawCghgsJHhTcnKGigdsXVt2m5PsJzPeP7eIx4+2MaeL2C15ONHUza3DHc3K+LgLkoEqECxcbCJzEPyNOL9+e9gH4SI+QQuCy5nlzSXIXVRcUlFWq3oH5f4PMNNF4zcAf2eYzSoOPvYMj/3lKEFESMrj8kkwa1t+tuacdyQfrIivaw4P0nZ+mqfgSyJbIn3NaaRWOv5+P3vsXj6CUu95MIbcIreakJRZvRUj2hvmy1SXLXgabXg7OKcnJrdcsxw84CwLzHDp1Qd0/esb3nJJQRCsJp7tuMlve0QNXkN4S+oMsnhueDgzg6DUKELzUZcMBw6du5ospVhYwjjq5Ba94m8ZzKAN/uCXHvcVkVStfd8GQ+RsUYqha9D3AJkY5kkPTZkQiMDBqHiYNRnMhoQ9CTlImVhC06jJVIfsHtL8hPpA5JoRFwJhndC4vE+hY0Y3N9B7uQ4VsTPFFkjSW3DpfgumZlhRcbypQ1WBvLaE61KnB/hfZ+oWjGPV6jeiK/eXtLklqockrtb9ELohRm7bsTc58yMIekL6tDivGern5EpReo3mNQ5jTMU1pJHELgSJQThjqUvFOOrEJscQ9Anigf04k2IFE0k2J3sETjJ1dUVd9Jt4myAXzkW6QmresEqv0TbGlsJynRAulhS1w2BhOJZwaosuCJj8/ASepJmcxOrM5RtiJqCOlthC8OimENyl9RmBEXK9HiKm5Ys71iiSBHVFnVyQf8yxeYCV/fJqamlo2gs5aw1dk+J2TptaDBMtxqWNiGoPA+++QFCpoggRg4rdBGCqWjcBecnGYgS8er7LdtGGJSaQx6CU7gEhK7aSd50wDx5yiK/4NnvH5M9PeHi5IzDqGA4P+fqgeT/9R9/jdffGLB9MCF6WaN11aatKUGUS7RVBL2AqvHUFip3SjT2hIkgFiOEt2Ab8vkMF4ALJCKKSQpFWAE+BRHghCT3c1ARghCbhtTa0SiLKmrK/ISqmkK/Rq+msCrJ1C4ikIShYSc5JqXGRDljJYiSCGEH9O/dZdKE7BqBzu4zPggZ3Ak4rgKUtiShYxRV9IMeIzng/M5D0rnGzCL6VTsEXQnBYD8hd4KszohMDQhymVMri/QlhZPgHIpOXlZWCBqEcLjc46yglIq+MxCGLAYDevMFpvH4TFHUDuNaObbtWYTQKNMnywsaDP52is4c0rQ1hm88UnnUlmWyHOCkpBxLbCpQDfRNRLP0SGUYK0Oh58ymJ3z7733E9qunbO70ePnuGBH02tl+XBeKKMApkCUIBWLcDX48sNsRoLpxSlB346UExKrzSwja99YPD6HbCTvfbRPTahRV0712LRtOduvoTmZqQlAGIR1aqtYRzXmEDRHds5667sZxCpGHaNuqTURVowCpBUiHCDxeaSpTIFybJB9qSxiUJMIRxkE7ZqoVgxFIoZAd4/CPW/6pPKXWTKEX3rkZeHUzqc5atBQMohCEJysbiromlJ6yzsiWS/YPtkB4amuYXs2Qss3OSecLbDdT24sTkuGA4XhCXWQ0dUNVljhn28IhCFv/CNe69Ct1Y8h+DTrRpf75Fkz6FNuLTxcMQrTmrc63se95XqBk62zZ+ujY9ji9Z7WY4T2dH5RHKokOY8qywXZ+WUHnKbXK8muWlJS0M7d4vLvWC6CUpMyL6zSsKpDkuUSYjPnKXFf1P14p/v/b5UcVXTcpaIqmrlnMGr7xnXfYiDWRdDx49JDt23ew9Wts7R+0YIrUbN++TzkeE/Zi6m9+g+X0kounD1uCB+ClvCZYWOMpZvPOgFcS9XqEYUQdhhRlTdNYGus6r6f2ug/HY7SApsyIlKeqGoo0Q+/dQisNDpq6bpPypic8f/9dZrMZtXVEgW63JdqDUTqgPx5jiwhr5mTLjErlbTvTAZO9fVxTA55Qt95iQil6SYKU7WulA1QYESX9lo3UTqAymWwQBAGB9zhrCLVkMhq0bD/j0ErjOuacVgqzLuRUgOjkpXEYEoVroA3yorhmBknVSmmiMGA4GBBHMdZJZoslq1WGCvsYp9nb2kVYjwxChNQtS8q3uV8qCDB1TZlm5EVJbS2NNeTPjjB0FthSXVeiAhBdypW1BiklcRiy/cUvk5UlDSC1xkuJ8a0ksrtyrNNK/Av9zXruaF0I/+i2CUVRAIIgbL2enHVUVdWCI6YhK3I2NjdJ4oQ8S3nvo/fIV3OadIVXEVIIauP4+MFHqCACFbI4P6OuSuq6YtgfUK5SZpdTLnrnqCgkiELysqLIM1bzKYuDOd55stWKfHmEaRq8l+RZzuXZBZX9AOOgMaZN5XRtcV4sl8xmV1hricKwNeNfA3UC8sWM2eUFgVSEUjEMQ8ajPk7A5TxlkeaEOuDsfNr5kflW1toBQVrrNsFPCsIw4PD8gmcnp/z67/weSrdG1mGgqI3h+PyCv/Gf/V2++PrrvHLvDl/+cokSLWCgtEIpfW2cXRuDcRbXWEaDHr04Igyi1iPMOoqquE4B1IFGSYlC4K2lca79se0A2npP1ThM3eCcQyUxR08fcXp0SFVahhtb9MdjKmtI6nZyoJcMqRrwIiAII5RK0DJkb++A2arg4mrJ/u4u48mAQb9Hmjv6TYPznjAKCQDpDI+fPm376+58rxk+a085s7bw4k8HDv1wX/njSviu2b/yxwdJftjzT8jWN/Hs/IK/+/d/jf29PV575WVu3btNLwhQsgUCVcdSk0q2ADGiu+laQErLtf+Sv5aWX3PI1hL6DlC+Zjn6mzvY+9bnzHnbsay75+KaqiQ78Z9vTerX0nfXTQq4DmRaE/1El0K5/nGdZO96v50Nwfqw/Do1U6zTgTt56Jr9R8uuur7+f4YlslF77j0M6zmV9uQBlE1MEHv00NKsGnRPoPohdhky2A/ZeCPipw4DHnjPqc25+Fgy0yVxNOcn9z9HUDUoLbi4eIq79FSLHDt9TF7BlQ5QNfQGEwZv3oWP58xmngdnIb3eE1xkqJMG6QaoxiBNici2kU7hsYjoFCccTR0wqzewiSEbCW4djbBWMhUGPTkFb/GzAAUMnOBOE3GyVdL0Cp6qEnVkiUtJGhbI+wZlPazg8vETMu8I/BU7JxI9GJG9dJf40TNkkZKGEA3GKC+YfnSEdBskUpKGc6SQBIFnYBsqVeNCj00El4/mLMolaRhx28XkE8nW7Yp0keCnI/Ca3vYlSViTzyJA4JzAIKmqOU7WmCSBRhDUHt20aVXOSnTjKH2ADTW1zpGTIY1OaKaCIErQWtJvpngCHILqVt5KgY0nrgAyDCW+7KZUvCApBGXoMaFjvLPgqvJMS0icYVAber6h6guyiyknTwre+8wtNn0DecF755fcvZMy9HM2k1eQMkAg0cMIHSTAkG9X/w/csaD3zoR0/4JgGZLMJ+SrlHNbsNIFn30qqc/PmSePScZvcnckGY8aTt6XXHmB3TT4NAEraaSj9/JdesOKYHlIb15xcTzn/ctTPv+lO+z6HN0ssMZRN5K6KPmd7/wm9fkZu3uW46s5Ph8wXN6mdJrYjwlGG2yJS6YXKe+UC4ppyUCEvNbbpde7jUpy3M4Vam5pRMDjieK+76EjTWEHbJg5m65HFd2lry8oTcDzsykv/eJdBgcD8hPBK6sVw9igbgscBcGu5e0niufFiNoF7Awb7gbgJ47ZT9VszAxRo7G9TYKNCBmEsBghT1NcWZBuTtDPBaw8y17G3q2Y4WaM2Q6oL2vKi4b3ro7JBzv093f4wuqcaHMb5XuU40u2olvYaMLZdkXll1CmxB9OOKstZ03Ku9n3yC6nuLrg7Bc28YXGpJLqsAGxjWbCa4uSo52E5V7MF+OEZjEiXw3JzIDh4Bw/vGR3tsFRNcc3hmhfEOBR1rG3NeO0mDAvttgwK6rKolJPvSsIfEkiS9ztgP5lj+T5kPn9xzi1hVR3SaID6oHCb1pevXUPcXLBycMjPrP6LMl8TBNbzpfPSd2C1KeMbITPBzSXm7hbU3Qs0c6Rf7/gMsx5dlDy9sNLfF8xszvUZU5f5+zJJRUpri5xWcrVJATXEGUZp98/oZIN1UsVPhoTZRXBgyfsna1wTcRMJCxGOYUsKIqaOrvAOolTu2wdV3hluQwtptrlqlrxre99iJYPEX2JurcgvhgifEi+oah/YBFmwfRqjvMjEI4wOoYzCTbCbG8jkyOkLUmOBjzcueDJ5Qm//X/4HUYDAX042/dEq3NmHyz4P//2Gf+Nn7rF5z67zfiXLomTATqKcFGPyUVNr7QkuxHzzJJWjrmrmdyLGW7FTNQIbUt8XXH1aEHTD7E9jZwINq9i+iuJN1NQCisFF3aKCHsIEdMcChZJTRY1xJeG2eWcxWqF3/4BSW9IFI7JzB1UKpGi4XbvNvTOGKgp+4OYXtPHmBFya5/Eh+zFPbaCe/SGDeEw441TTTIOGL0eU0QnJPOY5CLh93o/4OwoxtcDelbSGNB4Jnd7CFsyW2ZElx6DIxUGGxWUTuFsiLQVUhmEsug0xyuHjQTlytMIySoIuOc9eZJwtLvFa3lGWFuCy4CUNngoJKDa9AgVEza7TGdn+EFF8PIc+UGAqFpGqq+BnifYMWzM96i0Jt2uQeckKYymEZdTB6FgI3E0vUtmM8dv/7vfYu+XNS+9vcftyS/iByFCa4Rv6y6cRogh3h93I48hwpXtqEhsQ3iBoAQvEUFX6/jOXF9IUHE7qeUA4fAibifLbNjKDqWHPIG+bYEpSpBBO9hwQGDbn2YIYoWQJZGMOmCLllmlDSgHsxqCAKSGlSbUilB6KA1OWHwCQlQQ9vBE5GmK9AmKkDBxRFGBCgqicA9RO7xSTAYByrbeln/SIvyPOYWr9Q1+dcOK+cMsI2gHpMZa9rY2ubO/y8s7PR4fX/D9h88RKmz9IZzjzp0DojBESsWTp4c0prn2rWm3I1BBdG3+XeV5t88bVs6nzF4Bra9DqlsfGsSnBuTrWfk/CpSC9WB/7UPRFlsA3rXmnu0AXLQDdlpWmOgKsTBQNHXLRDHWEQS6Y3o4jLU457DWMxwP6PcSNjc2ef78iDwviJOIqm4BLe8c+3s79Psx2hlOL+ekeYnvqqJ/0UCpP4qh1hoty2sj8FubEyaDmGEccDZb0XhAae58/sttCllvQD+JMHVFXaSsLk45ffqEo0cPwYu1dQ3G+85bRLB/sAN4qsZwMV2itKbXj9nZv01dFiymV2Rp2hYkUnD3/kv0hwOSfp98ekldltRlTdAf0BuN2NjeZTAYo6xBFEsi3zCdzfngyTPCQLXsJSEJdYhSmiAM8dZAV6xmWcvk01KRTEZtsVNWxFHblr3W3L3/Cs5anj385NqQTipFL+kh8FT5CikDvJDUztO4GqEEvV6Pq9mUqqpRQrDRHxHqoGUYidZY3HpPY2qcd62fi2tlpXVdU9UNZdOwyPPWy6xjyASBItCKOIg6w3RHURYdUwm8t9dMFuHXbIbWX6pxrdeL9+t49xYka5fODLtrFutC2tMasEdRxGjQ55d/9qeZrTKulisK5wiDgEBJjo6PmC1XLLMcFUYtGIi7ZlaAQL3AzuB668CnUPn1AQh2NrfZGI7ZGk+QCI7PT3ly+JT/9i//SwwHA7yH/+jv/SpFWRIGGlwLwHkEje/89NZsNADRGibLTmlR1/W1JGhtzu2FxPu1JOrTAEGog5YT4m1XRHffrJNANXXTMkVECyJeXxNBK+ft0JLrXrMrsNvj60IZgGa9f65z8gBw19P2HZuu8/AxZm3c2fWZ3XpSqevOPwwChNTtPYEnlK2xvOzuUdtSTomUJlAKIVTrC+Bdyz26viziUwlw9oV119evce1714w7z7V/UAvg2RsmkZTEQYiSEiFky7jyLXvVmM5sXymQ6vp8SzxKdHKy69RJz2q1bBNFOkpUpDVRqBFSUDeGojJd6+CPBKV+nMfsjwtKrZlLWmvquv6xWVjXn+v2I2/+gJSSpNfj1q1bjEcjoigkCINrJl0UBMRRjBSSujYtmB0E7IxHjIZDkjhmOOgRBFGXrikIupABrTWBlh1YKbt7p73mgWqvu1KqvSadTLN9iovrUIf1N6xN6/WFb2XhUop24rHzGxPeX9+TrL3vvL+eCOp4UO3N4wXGupv26G7ke8KL7v329/UB/IX/4b/xY53rH7WMx+P29OPZTSoWRZ9Z1SN8Y4rMBEw1RR4wFDUboiQ1ns995g5f/clXuLcb8rXvPudXfusTMnkfqUviaMlX3/4KgzuG4O6cb/6nD8hyhwk0ar/A5JL6UvPKWxYxGlAnW5z//il1bnAIXjqoSa3j2coS132kE905UmhjiOqaIgmIAs9G1GAXkhLJItJIK3GJo9pqcIcJ3lpIUkQsGNPjlXqfZXBEajyXyxHbb6zAO1ZPAw72IxLj0IcrLibtxd2ce57fhXwsEcOQz3xgkSl8pBW8JBngeP3jhrwPy8jzKHb89MZL3Ond4tb4i/yXP/hHPJ89gbjEbAi8UOijkL/ys5/j5a0txInhV46PeTBbwqxgMFgSBg1V3cpZWhBT0ApR2w6mbgZYYsRGyFY6I2pSjoYVYjhGBDHB6aq9F70nSUsysUklB0jXtmMhoYyXbJmUvi843m5nmZUQBBchVT2g8T3ifYVOZiidEh7fIa0MualJwpSR0QyMRgYLllJR6ZB/5aVbbB5E9HY0HywueeYDTvWAP//z/yqb/SGjUCNiQ2Ysy7rmWfGEJz94h8ff+gO+tJxwWQc8qgSjyyOsEpheyJd+eUJfS3Tu+cbXMthSDD4b8/O3/ioXF4f84KN/Qu+DmtxI5kHAf/Vf+yLRfo9qKLnzvsDPctLZnOd7nyHZ3eb2y7ts98/plQX9y4yqFjzPj/nG9JuM3C02FhF3nmmU2EZHmnjkefZ2ey73jhxPngwxPUXvc469830SXRIefARC45TEJAq79yq19aSnD9k5DFFqTP7Km4zNGXq5oPn4DHtvG2KJqq6wpqFOAq5e2yc8fo5KG2S9yyAOCF0MV7dRpUfGBepzj2hOCowJKG5/hsw/xOYzkvehvogoS8dJcsTpI08+bUjUWRvcMBgw+Jk/R5K/B+klJ4/2udzPSAcGN9vjjSRjM6h4VkNznmKWNWk/RmBBOaotj5wp/EqRlZtE9pzIp0Tjl0maKdosOdUhDBwytIyPoBkLoq2If+vn/gLGhaRWcrwjsRs5tpfx4Q9OefSO4egDy0/vxUyTS07jS8omRF059KUhG1o2fMi2jZiYHjaoKYOKIwfD2rFVOaLAE+qAKOyR3P0JDt7o8dJPhNRxzDt/8Jjf/Yfv87/81/9bbN3awo1j/u3/43/AlZph7ljMtxJUA2HgqbcSenXM1qLHcV2BCoiSmDxN2RA5L4UpD0KFdJaNpuYsCqj9EFvv0XMPQTXYUONqxUD0uB1s8uzlC6qoQrqG3QeWsOnh+/sEeyfkpuboRFOoHIDY9PG3avqh434D5kTSFBFLMyFmitUNi15AXUywVuJFydu7GqkVP1gEjN0VyteUMqDMNd4L4r5DCIu2lo285mQYk3tPeHzZjieSgOiVLZb5kqKqaDKYyB6hiKn9EKU2ulriOQf1FokPOBw+gjQGH2HeiBmcecKlZqbu0rg52pW8zRaRvESLJYGyXNzXTDfg+PEM33hUA7dWkAYBtdLczWtOEstlBEkRM9mF3hiOPrGoyqCcZb6tSLIxg7zP2+Epp7fvcnpwwOuXX+fUKo5MRDj1WLEPYo+fypZkrmaOYV+EqHsp8uUVQVVxlSecrBKajx6h6jHS73C4/5ADHK8azZUech5WHEcZ/kEPmhaE8SJBbhTI3QWbD8F6RREE1OVe55m6ov/6ClEL3HnAsChQGyHi/pC6WGAyqK5C9ut9nCvI/AnTDU/keuxlO5y+qhmImteWC753EVE5RxiVlKMQYovsZcjD+4jGo/QFdblFZEN2HJySUfc9+k7ETjFFFzVm6rHjmO27Q37+r9ylNF8g9hNe855n2yUuDrgrDliMHlKpHNMkvFL1GYuAYAAiqVFSMah2GKmcMLK4vYDAKISNaPwue7uGgQIOE66UxGjLbjxFbA0hjGHRh5GGWABly5Zb+47Zoh3D6DvgL2g1f3uQL6HJYRCAHoEIwB63QJnvw+wMkhpCD/ktvJyDzCAaI3KBrwV+5EHk4CrE5RCUx0uHmJeI2OJj1wJiokFIw8ZL/+YfO076p0/fYz1jDOvkuk//TVAZwzLPcT5ACUskoXgh/W61ymhiQxRGLfuokxRI3Q5SlWpveLqZVK2D6yjpH95X+0v733qQK6RqizzXmiev08Pgj5+ZvpmJFoSRajMVupnbdna1lY05yTX7hjWfw3eMOdEdl1wzx1ohShCE7O9uEiYROgjwUq3LGQSeQIFC0DSCIEkYTDbY3dqgtA9ozBVFVf+xxc+/SMungKrufCsBoRL0ooDb+3us8pw0L1ieHBLiGAwHHGxMCJQEb3luCuppn1kSI6VqNbAShOzke0huHxzgvaOoSpK430qGlGBjPMIkEbGENIoQAkKtSAJNICWhDiikxnpB2RiqNGsTtoqKMLxAeAd1yaQXU5YVSgf0eknbLoVq6YhdW0O1A1GpFd4JvHVtXVQ3eCERUmEcLThpak5Oz/DOUZQVsrt3HFBWFQJo6qotumlZAJWp27SoICXL0jbKXAjKsukS6jpghLaAcs60oAjt79651kPGWBpnqZqqLcg6TMNYSSUFtayvzYWrurqWCAnWssU2+2Etsamdbw3Wr8Hi9rs07uYedf5Hg1KtWboF26buOWcx1rbFrOhi5P067L09Qx1Z5fof8ek3fmjpik9oZ0Hag6GsCoowpKp7vHT7DhbLIlsyXyxaI3QhKKuSqq5bIOkFUMq49TGIjnXZfa81YAdYY9p+qusLpJAIpbDuBpR64SZpwVLvcc52hyyuvUlaENu2KXwCvBMIYa9XX0um1u2nOysvcMnaJEPvoXE3kr01WOUBx831WfvvrI/t+ky6ti21pJGW6eScp2qaluHYnX/1ggyv5Y+2jaMFe1pYaw273Wz+BtxbA3Ztd9t1uB04tAah1uw4ruVr7YTBGvRbH7qzDtVNQBjvO0aOp2nqVtaqdcum6QBVrdv7R3YXUtBev3YyoQUrtFJI1YZ4NNfSPb9ubT+6Ff5ZKTZ/xPLDz9w/aXmx3YkuBQ9aoK6xBptlHB4fczmdorVG67W5a9vHhbqlaBtrkQi0UgyThCSJCYKAJIpQWiOlQitJICWqM1JXqgOllOr2Ldq/KXkNXK1TOYVU14Cvkl16ZDc2qOoGa1uwPQh0OwmlJKoDQ9fH2BG2X5Axd2CjuAHLZMeAlqr9TNBNLAkhrvv29TN93ff9WZZGtexUqWEZOmpj0LZhEjhqFKUFXEwTO7IemJVibjRPVwH3NjQbSvLKAN6vPTb01BE8Wzxn8/9D3X8EW5Ll6Z3Y7ygXV98nQ0dGZmRmqayq7qruRksO5ICGGZIDcsMhx2hczIKbWXNHM9oYd1zSjGY0qjEDycGYkQaABAYzIMQA3Y3u6i4tUkZmqKfffVe5PIoLv/fFy6ysrupuDAC6WURGvufX3e/x48fP/zufEH2mRZ9qmdM0FdHU5CkM6JEOdmiXbTfOhjnT4YSGmnI1Z9F4WhfJqo6hHiV45dE+khnFXjKkUDVeRCovid7hkIigiSIQHIRlAqlDeoduIi4OaLThLF8R14okaN7I+1TLNfWmv5bS4pKAGUYqPyI4CVjSou6sgaOkmjiaRGBnmuGVQhnP8W6LtwKd9vilr9zhUD8k0bvM+oaqH3BlxCRDdnstQgTOlWC9r6kf9ni4M+S+aynbwOl6SYyS4BRD56mkxClBklnaKsUGhZhWBFeDD0jncXTeoL0agmiJOuITh7Kq8w4hQK8iJIKwGGGk7eQQraH2ne+MbBxRB7yJ+J4nCouyDbTdgkWQkiKuaGUAs00p6gajKirwCTkZwRmEzEjynEdJSto09FvH5exfMnD3GI/vkdzNuW0SZMwZ/XiATic0O3sMBpDHjD369Hc8Lkas0bx1/w55SNCXGvFOSZu2kDvu9gKTaZ/8/htIX9J6SZUYsjySyISBuI0yJUvR8qK54uy990kuj7BxxLOZQtcFaXPOazuHBNWwo3Ju9e4ySnKG2rM2mhANpsnYaS0+E1QPNNMSiBJdaqpeQZV6yA9RQqIbR/50xdXJKT5akmJOuzQIUVPZQBAlLjRcZDWrqxO89cjTNX5oiIkkvlzB/JJgA0417Awgixp1es4SjdCOW6sjLlWkISF73kPKC4RdsjyrOF8kLFxkNpyxCJEmDWSpJxQgVg3p+6cotSTYkvm8oBIr2qWF2vBi2bLQFjlxhLrCFpbSe3zIiMogJwsSDSrppDMRjxOSUK3x3qIiOAK+aSE4pDB42SOaEfQzwlrgmkDIG7SLqJmmOtU4WyF6FbNVD4si14pqLfDkiJFhamdMo2IkNFf7LbGJxCKhdBmRGlSJiZJeEuiPa0pxxihOEewyNfvcGQtevy8p0nU3D7Y9luuasmlRrSVdRqyKXGlPfl5T24SzpuRK1qhg6Lkey9oTY0m/WrBOEkISqdKW9WKI9w1CXGAnBXiJvxrBeI41rhtQj5fE6LkKCX7eQ0WAI8xqRYtnLRQsWkCxzh2h8cTG015aLstIEDX5KDKfl1SFYF0NCWGNkB6dVzyvht1nl0t8WCFipPKGfr9ASs9iCTke5+F5k1A1JUEGhDFI5xAO2jqh0qJTA6wl67RF4TAnDYUUeJmQJEvavidVgni6ZF1LGiWJqxV2IcjmirVvKHoVPgmokGJMjZItchbwscCetczPCjwKFSWTJsNTEfCcWUtZRKKBOq+ZXSbM54aLS8XQWPK0ZuknSNXQyz0fCE2z6OSTR8uKBdBSUy8hCIVQlk/qgjp6iuipBgqxbuGoRpUtTdUpBZIy4GjwZoUajcl9w6BueJpZqgbiZdLNR/pdoJxeWpR0KAVWDDaka4fUFdJLZOjRNmtoBNEq1olBR0kyt9j+AGccVjeEdgkxIGKOqjQhEax2Vshil+gEy3WLNz22VkRpKYhWEKzCiSVSgnKRoAocjjb0EVGgnEMXa0zpoBXMRQ6lxR8X/OHvnmH9j0nIeKk8Z3nAa80H5jlNfoQTDbbJ+SQqBkKQa0s9CUSjyPyQXFqUFEQ5IokWowTpoIfKeyQhZfdlnxOp8bnnK68dMRvt0CY54yYgRwaZJ2RigPAl0Xrq+QQ/jIRMkJg5rjrC2TWNuc0wVPRx9PQU5U4hSFYyJRtekSYF+uUCmS4g7eTrbdrgTUtfz5GtQliJOsnxPUtMHflVjdYSpQW6aYlGAxozU8SBJQw8058zT/pzgVIASonNhP0Vcwq6yWBZN5xeLXhtXxFCS88IirpjL0kBV1cL0jSl3++hdOc1Yu1GFqA1SZp1XkwbLEmnCd45Wt9eSwC2csGuSBSbVVFJkiZoBM562qqLdoWuQHbO/8zvA9siQqCkpJ8nVK3t0vHkdnV+C8RtJqtb1kF8VZiKzV9KdXpMZzsPoDTNePz667SxK+hmy8VGjicQYTMYSQkhYtKM/mSHx1/+MpezOat1QVk3v/CK+r8125ZdAuRGMUwN035GvneHi9kVZ2fnLC6OUeMBO5nijVv7jIdDsjTBnTxlPehxORygTILeFDJZkiCEQgjNgzt38dFT1SW39gVV01BUJZN+j5hnDNOEstdJ43pZyqJYd2ASEGIny1pVNTHUwArOL4AN2OIDo+Ggk9VptZHYdckI1jmQAqU7Ntw2FS4xkSg7dpJ3HSMkSknVNvgQcc5xenZJDB4l2Pj5dAW/c7bz4kHgYlf4Rx+uUxo7Zsim+L7BiIGOdaARGCGun8O4aX82AJfDdywUOhZgDNs0sy76u40BH7tCXyqB3wAZW+BUik2a6eZ5D+LVz7tCsgOdrLPX17aV4MGnAWShOpPzTEui73ymnHf0EgMR3AaQ2XrCdPKgrp0EopPjfm6H2/a2bQt0378D0SVlVaKEItEJe/t7CC1Z1yXnFxdoY1DGdOwuAt6768Ncgw4bwCT6a9jlGhgSG8YPQl6fsxufQgcOQQeS37g3gbBt3Q2Ls7tX3ofr8WwrO+b6jJvvJDcMEcGmPTaAkOjkVy74TkIJ1wDjtoWu5V/xVWe5CSSH8GnwfwuBeN9JoLTe9L34CniJbICaLWMJCLLry/EGiCKEQG/9wth4T8UtmSW8OqGUN+5kd8PFlvW6YVptpYeIV95pxEhrW7ZSsC1rbcui8sHjGncN0EUir271BmAT3Z9texC7ND6luvvk7Ia1c7ONttf2M8boz7Lk/jSf/ey+n2UJ/6LbTaCmA1sUTevwPrBcLFguFn/qY26OfH18pXQX4y24ZjoLKWGzsNCl13ZAlZIKo/U1c01Ks1nQ2cQK641HmXfUG/9GIzRpmnZMZKPQSmO0pp/3ULIDlLbziC5dUKNkB4T10owkSUi0xiSGJDEkxjBMU4wx159JtOnGerrFN/Xns5TC6hadAZngMoKxjtRX7CBYAjUCIVKaocUdCFKbcNRqigvB1weWcYAv76S8P3PYJNBmkXfP32fv5T3uNW9R+imBiLFrcmPY0QP2/H2+c1QTh+cM5HNuTd+hDEtOL884XYNy0K8Etidw0uN0i/KaLOlxe7THyj9l3kReFoZEdhOezqYiEmtNXOTIe1cYZ8mPoahGNP3A0eSM4cWQQ9njl/d7/PGJoPQR8siVqVE60J9AcbpD2xjmccXrM8fOOnDYZnznjudiEGlPNNPTAbLvefJGgXlpuJNM+Mu/8k0Wy0MWVvOhmFEMW2IlwIy5my/QtJwmcL4T2Hkg+QuTOzy+WONmDVfmOTEqopOMbYNLNF5JsoGlqfvYaBB7a0QskG1J8jzprI2VYFgLfFlhVcX8oJvzKd91DDGskENLWOagCoRsEfUOZUypBGRli8ssXnvC0GIoMbGFgi5QBUVhLrrQLCGhzunSIiNXWtNzKSPbQ5ocnQ3JhiOmwx32inPur474x/N/wl3xZfZyzejwPofjEQdmTO8PP0Ixwh6+Rp4fcWAG3NUHmPmAxnrqEDm8/whVDpAu5823I1UxZ3V5xtSvoWd4+OgLNNMSgkTIhA/yE1IyDqv7LJoTzosjvn/xHPvRU9IdwdIaXvzRYxpbEvNP+GuPHzOZSvb2etzq3SUZ9mHccN4/wzSS9PyQSXvJKol8fDvnwemMdCEJLzNefvGCdV+z9gf4GOjP1zz4yTknl2cEWzGWa4ocopS0PGEdNFe55N3XNMuTFe2Fxf8gIF4bkynP7U+esQ6RVgja7ITp2JITyM8ET3s9opR8rSx58mZKlWTc+9GaPdOQmwaXXvJurTgD6lh3Vi+JQI4SzLlELYH3jrDTAp94orWYeUSvInDJaSO5VPDV/ZLGdGPjXID3OSEmjJmR9iIyCdh6uRmfE2BNi4CYk0hoZcQjiMMecXpA3Dkg7vZwtaepG1zWkq8EyYWh/iTH20vk5JLjl1OGiWDYUywXYHsj2r0dXn+6ZBy7Bdsf3FugTlN65z28nlDqFa22+BjZmQbk/ZZyfcS4jZRXEw6zA16f7KG/cJeV/i51u8KEPiF49CLSvwjsyYZ5Bss8MjlzWFrmSUPQFSJKnEuJ9GmiYxa679bmsL4tie+mqBBI0lPc/Ugoc+LVLnG0wPVq1mrBmx82mDLhIkyYyTGYNSF+hHCqk0NNHIM5BCSrfoJEEmuLvbCc9gJm2PLwwZyZMxSrHNvukiRHmHRNvtdyUo7wrSCNBV5IfNBYO2B3p8IYy9Nnhj4OgeIpU3rNGalsOhlw6JQ160ohxwplJKlPaAeOaCy7pw0XcUC5eZdfTeeYLPDmuaCMKY1OwZ2BSjGJZFhc0A4F7SjhaVNDT4DMCAXcPa8Zu4peAJsopE7IkzFDuwZXcBoha6EfoDlwrGeGYiGxsUcysox2HCdmj17SMFQNPyomjM6vGF885ThGlIaBcSxVhgxXEK54JkW3WCkjF+OaaBXxuSJWFYNaMK4EiYTSNKzyJYPRPXrNCu0uWIxbilNFOE7Je5YwBrcvMLZAa4eOgpodoEVxhdYrlOih7ZjFvFvPplXYaYKOkeTMox9OcKqiNStaLpAxI8YRqs5wac3VrQsGH04IVeAk1LhdiUAiK0GyikQhsJnGpTOiEdCmRHOJ9zm166FiRFlLMpuRWIUVfersEBPOWC0c3/7na+DHSOl5N2uo6xSPRmSGlAJCoG57ZElNimXQ1FweQNPr8FUi0KSEo4ek5pw8L7l1t+WovIevxnzpYsALkRCHnr/8G894L9lhqVMemRlqaDBZj139NqLuUgsXH02oHuX4PeirE+qrZ9Tlkqv8Fg/6cCvR7K8fkZVLsJ7n6S+xe++S8ciRvRtQ5gSZzmF6wnKQ0OSSO1yhhEaGhGS2i9szhB3BtL4iN4YsScgVBDkgigGDp5pw2xOylns/bxb5Z5XvvZICvAKiot+k6WxWRZ3zeO/Z2x0y6Pfo5zkfPHmO9Z7r5KxNWaD0RjIXw7XPUlcYy+1p0LqLhHTWdavEm0JYXxvsCmxr6Q0G7N6+g1CSYrXk/MUL9u/cI4ZAsbiiqqqNt8SfNMvsJrBZ0kkPQug8aFzszFBfxVK/YhVcEzZusKqk2sZody+g6c4Ov/kbv81iseDqasaPfvRDxoM+SkK5XjDOBUZLrFfoJEelOdnuLeaXF6yXK2aX8+vV3H+bts+T7316Zb4roIdpysHuDgd7u+gsoypLyrIgzXKSJCVJM4Q0nZeNFlTLeZcox8bjja6IVOKVoXJd1VjnOiAkSaiahmWx7mSQG6ZN2ACR10Wpd7Stpa6bawZdjJ9//a++WyBNky6aPnam4ULEzWr/RirWOdhDvOGNwvZXG+ZO7Pr+9er7zXbaFOiNDyRJ3jETnKe1GznehhnymdYHAUZ27ZJocUMGJjZA1gaU8q4rpDdgwqdhne6ajRIbrxhBawM+RozeyJxi5x806OekiaFYFzQu4kPsfGpCQAnBnf0pb7/2Gg9u32I8HJJmKWmWMpju0M9zemlGmqdIwDYN//Qf/Fc8u5hxtlwzHgyo25aiqng5O6dpGlrrNkbdWyAYRHzFYvicHvmp7/Wpn0qNUpokSfitb/4qh7cO2N3b4R/+g7/PbLmgqBvOZl2/64Duzxwpfvqor3CQDYdKvDr7K7BObMzpu32k3ILpN0ZBKTZ9dgNObFllnwGHft63/elv/affrgGczzTu9v+3gNVngas/1Tmu/+IXutg/y/fZSsa2HmjXrCy63r4F8T7v2NdAeqrZHQ7YGw04LhrqtqVp2y451ofPbYM/ybPw571yf5GxXSmJMYq2db84Y+oaOOy2LEtJtCZLE2aLJc7568Ub+EyfutFIN4FmH8NGOhmv9xEdWt6l+V3/LG7Ab8nWlFzKzgx9O+5G8UoyzwZYV5uHKfIKpO2uobsowauH7Zq1/Ar3vvFefgXGihs/246/QggSZRBKI5VGmw7kMrqTE2ylpT/+yY9/sbb+nO31RLPaE6x2JOY4QfjuXdBmGuUDqu2s9EeHjulty+S7gksSjtME88Dw1YdDfuXBiP/Lf/4J69KCgKbex0hLbgoevFWzCI6jynNbgBWKhTDY40coX2LUGWH4RUw1J7v4kFUvg6SPTqe8frcgWzfIpzXfc/sc3LnHb37jHZ6+/Yyzp8c8/3vv89W/+QV60RHePeajH1+xbiJVktFzJRFBoxP22j5eRmZZhfCCXsi57fdZe0vVL1m+dkpjIxQ55uQQY0/xMVDKKb1kjVYOJSWt6pim0QrypiUjMDDQ+nvceviA//A/+UusqmOevjzl//r/+CF/8Wt7ZJnn7373u/w7byoe5BLziWTxzhB5e5c3dr/JH/zehzz56IJPPixJNosalpZ4e4XOLbdOxyxDSxkjje+R7ixIkprpi67vOCU43cnZWbXkTeAs28XtFsSsJnthumRFE2HPw0ISV4a63mWPOUOx5ixLCBKiitTDGlMZTK1JqBjoAZnscdSukOMBsj9g9bEnkSVGlxt2qMBIeOdeYP9r99n/yn3ePDNUacu8Z/mwP+Revc/j6pC6gXQC+a7n+OoJ2BHS72DED6hlxlpOsb2ICSMyO0WffxchakgC2Tjw8r0V7/7uBfargUYbCpeSNyX6NCf5aMrp1yeE1QX6o/c5clNMqJj4c05VglcCYQQFDm09/dIjBgOEkiADSqYMVORW0vKJ1fiQ0Y87rF8/xdiWvSddE+rE4KZ9fmDmrLwjVJK0TZE6EiY16qQL+rDjGpkKRq3gi8eSE3WPpgfq3guunj8mrofs2cBJ+pyqV+APJfrYIqpuLGltRgwpiglvyDk72tMbDHlpT1mpiL/1Nuv2HFWveft0xVOlmUtJlBHdNIgQcb0cI1uIktXyLo/0jB1RUDnBuVEsZUrb3iILpxixJA4zhg/fIp9M8S//OednGeulYWquaA4F7PT4wvgv8c2vC95+Q9L3uyTrFN0a0tdSBg8NvVuGrEowaYbwkZ/8Z/+Yi/OGReFI35FcCjguA3//PytomlOCPKe9G3jgInda+OP9iDobkB/1mfgTsv4OZrjHB7svaNYNcen4+tt9+hpUDPz+suZgDo9mgm8dRB74Kd9wt/mN//iXGO/ukJkRP/573+Kj5pwf6HO+/0+XRGtJjSOva5wY0sgDlDklCt8xv4n0fWDXep6kQxKfsN+mHBOxk4C47zHPSmS7MXjWbFZvNbXrY/qW4Z0rZB1o10OW5/cJYUkqCqbikpm6T1CQJJcIF/FBUdsUbq/QBPqzBCciRgT2RcvLHlRCECpJ7g0qdjLcqu4TI2RJ2U2dI8Qo8V4RgiaEnEMu0KLlMunRNt0CZJo52loSoiDtRyb9SC4i5iJwhKaOcC+sWZiMWmsggI7oGNhfNzRIWilZ9w1pMKgoaUJD6PLDIGoQHVGiWmmGFKSyYTaIDBpBZiU269HaHs4l+NgwpWAgK2b9jCb1OOWYnm18chUU+YCQWWLikKucYR3otYEXyQ5K1hhVUt+29IrAYAWDKudqBLMRDI9KvNR4Y9iZVrS1olwbmp2aL3zhNl9/5wHtu/Dsk4b3P1qj+AQroJEJt9oaJVKC6vP81hxXKbjKSbVnFCx7zvKEB13YgV8ThEPrQJIE8mGNawcUywNuyRc0PbicpvQuLaER1I0hyz0DYTmILVU2Jg2Bvarg2/2ADH0eFrcgviSoBpsEXtwG5xXmzLyaBsXOukIEh2kq3vj6FCF3OfrwbS7K93Cxe2dYe0gSArd4ygm3aYQmSS+7eVAeaB96Jp+8Rb7q0fNzXooWP/A8/HJL/HBJUwSe7U6ZXCxI2paqlyJqi/aGSfKA84MLoin56onmbMexzDyNC4g6QTiNREMEQ+SucpxFwyoqBJ62yfBeYbIVmWvRHtp4D6XXCFXjhemIB0LQrHro8RLV7yTY2qeooFF0/qFRRpqxZbqGfik4Gjh0SMi84UHbYidj7HDCYbHH6EGP4YOc/93//m/9ifOkX5gpdXMyHT9TpUU2heINoOBGxg11G5DagbSvVsTFq/IgxriR5G2Pvz0nncQtBoLznyrYblIXtjKPsDVQ3kiPttKO3nhCNhptUI3OYNm29npBfkt/2Bac25XzEOkKSToJoPXdz+Lmu/Z6fYzRJEptpEadFKKTKyiUlvTTBEGkKgoWVYVrG148+5iqbqjqmuGgz3Q06Oh6rmXYMxgtKNqI1J3flmxKXFVhm+ZnUUP+rdn+pIIqxkhtHbPlmtYHhNJ4b3HOkdZt54kkOwZat6oN0dlumVrKjfymO84WnAJo6hbvPS54hFZY52hsi7f+ugB6BSR0EpwQAtZ26Wvb6/5ZgNqrfg+tdd15N4wlKUCEgN9IqrbXRtx6jX1e0bv1KwFEJ6+CV3KcuGEydRI92Zn43wRWxKvjbGuwDnzqTmwD10DUdQLV5vqVlBglMIouDRPoJabzqFGCcdqZ8fsYmRceazrDViW7NpRCkGYZeZailKStSpzvrhcikkhqDN9458v88te+ypuvv06eZhjTsRJ6wzFZmpAkCabXxzUNq9mM/6/v5FVqw4yx1lI1Nc5tmD7yJhj1izwGP12ob9tBbPqBD56Xp8ckecr+4T53795FG8Xx2TH9VOLD1ox261MkcBtHZQEbo2tBoPOPY5POZX24Nl6+KUPrp3rzHQLNdiyJXV+HDnzanY67tlKCy6su8EGbhLQ32KQfaqx1bBPXYgydH1CadRKoDWBgrb1m9myL7ggYrTft2163kJLdMxNjRKkufa8Di8ufbsPNs9CxTwyDfn8DUHQd03vXAZMIssRgtEKISFk1NNbhQ7fQkGjF4c6YNDFoLTcsqg5ALeYz1q2j8ZF8MAFvkTEwHuSUZUlRVRRVzc5kwmQ0JCKxtu3+OEdwDuc8i6Kgtp5647u1ZZvdDMDYPlDis99PyWtp5N3piFuTEQfjIaflWRe4sJEvbhlhNz/72X//61xA+DxPv+vffWbfsPUOCxuz8Rsm4H/SJujGKiE248wWlLs50EWxecdfX1h3zhtyXLFhaW5ZaJ8K8403rl3ceJZivC4KtrDiq3N+Pjj3J0N2r0ZWJToASmwZXEp2QPhGbvjnvY+tMgQLaiXpN70ueU+2OGmJKnS+DWbDxD5VLAYj1rGlFSWmSjg/yfheFUh0S6okTdNDi44NWPuEcrbGiojwmtpHGq2ojWY4GKArgyos88ElLl0T9wVm1TE5gqqYFRVJ7TFCYE1BmVxxkhwTnxeMriSvH9xiurtPTwSSleLJ0QpXNHjZ0sZIVAKXSYpz1c2zvMD5lDYKajHrbqPzuHkP6dsuTZ2GRw/H9Hsakj6y3sErTzlZk6w7P41MJvRUREkHyZIfHSWciTX//Ft/RK9fU9U1D+5n3NlJyXXgzZ0R93Z77Aw0MxUYZjlJmxEWBcurlsXCoVRngRBlxPVbcBK1TDC2IYuWKCJNIsBC9Jpadf3YS4n3A1y6xOoWX0mU7955QQi0CQgD9XpAdA1RtWhd4XWgMYpe6mlaiXUCXWukk4gIqY9Y2dIo8KON90bZEIMiyEiQEUae2EhcLVjPW9onc85azeVCUCtY60iRLlgy4zi8ZHQ1oE0dVb+mGJ7Sr3sMyzHruAaxQqhzLg4VyvbI1n3G55/gTEPVD9CPlM8ii0vB+miJj4JQGZZ4qGpkUsPVErlcwnJFQYYWjkQpEh9wUdJEicpSpAoE2dDUBmSXWuXlmlpEYg2L0OC9o3SK/mUJ1jErBNIEjG8QpaUaQG0NzAzKliQa8tCDqsRLRxMCYQllK3kZJKVfApH+wuFEiTWKZWuQbYPB0yyGhKZEuUAiMqJP8Qh8MmfuwXtF4mvmMlKJiFusaEODDI7jQUQgmQrFwDhaK4hK0ntryARJHiU0nn2bkDh4UtTkw14nEVpqEmXQKifp3SXZm0BmeO7p+mTiSJ2gtRmSIb/+9R2+/ksPef31A9IwRNca5TV6T5PvaZKxQrcdg9/XDT80/4wgcxAavVRUTcXVsmQ4qUmvLKGM1MsRXsJcRnrlHGqB8Ab0DjL20DXszIC2C+KqTYtEkNtI1JECyZmTSG/xiWcxdBx/+JJoFbce7THdm3I4q5nPFxxPJbJMGDcp+Y4npBGbl3gbCTriU8iXA9LaktcFp0mfVEh2By0Xre0IAOcSrwJBC0Td4/HAoHOoc8uzdcRFT732YDQ+jTAq+eqjCdNswjjs8u0fdVYUd3YPcHf6CJ2TNCOkqQgS6scpBZekwnLPCMb9FCsFuo1kTnZ+pQJ8u49C0EvPr5Ohm+ApbZe+NxEaGw9wwnGYRs5fVKznDat1ibceXEAEj2uhBqyE3l7GZJTz5ugN2qSP04Ioz3CtJziPkpZxPcLEjMsDSKuAagK1rSnSDJ8a7vcjWndzmXaRktoaFRrmyQpZaKTTiNs5TZvinKEfHMlqhSwLTnuevJfQSw3913Os8VgdaG2CcyXOlqzVguUSFkEgpUUIT0AgK4mrNWUr6QeHtBJVSwIaEyGPHtdofAM6eH75wSGv39rjUT7mB2WkdBes0xW9WnSpp9FgBxLnBb61yFoifErQfRjV0ATCsiFOAtFJYpmSuoZMOQa9iG+yrr8MlpTG4YQirjS214AGFSR+nBCcgKuGUqYEPDauEf0uSGpdl/i+R8VAVoEuFTEkGDfAqbIjxHgBKFSMGA0zGSCtqG+9JFysiLbGm5bUL0m8xJMjlcUIS+pa3MZqJTYOF5c0wmEJuKQm6pZl5UlbT7QR3TYEAVYqvIPECISOXNmSJlTI0DCvPOUy0jZdSiOtByfwPiVmJSZpGURHWRta18E9beoJqUaHhFJpiBG5PMdNW2JuyeYRFxUuaurWIJsaqWrc1RiVtihToFaKmEVCGmgrhVo6WDlmSUTVLUltaEmIriAuGi6rwKBV9OY/n27+C4NSf+Lq7hZEus6H7opuIboEMO+hqFqqppMmbRdVt38JwXXa3ra4URvfDpMmBO87Lxxnu33EK/Pe7VUF30ltBOBsS7FcEmNAJwmjvX2ywRBBRCeGer0i+tB5rPzUPPOGg02MWNcNasS4KeI3QIOSTKYThv0eozSltRbvOzPcvNcjSQxZlnAwGiGC4/j4JR+8OGZVlrz7o+8RRCdPPDw4ZGeQIYk0jWM0SjFKYosaZTKU0vSwHNcVdVlvjGD/5MnxL7Ia/697297zxjmqqzmnlzPYyjg2PiNbZoIQoIidtE2IjWl0gLgx8fZb+dMr6DOGDbhJvF7JJ277bfyUDCjIrRk+GxbFK2nPn7RdS5U2HjzblXkptmyk7vxbT90QwnVy400Tbg+4sDVeFpiNsb91W2B2Ayx4jxT+Rhf9adaKVps28p0JtIt0UtMbgNTNz+VGkxlJPxVUrSNG2B9lJMbQSySPp5HWe4rW85OjCnQOShNCi4ydeft0dx+hJM47FjOFlRszcwRaSia9Hn/5t36DX//N3+TtL3wBwpYVJtAm7cABKWE4orq64vzZC6wNxCi69EME1jnKuiL4DiwRUnxuG8TPuWU/+y5+2mtJCHh69JKsn3Pv/l2+8OZbDHJDW81wrd6YIIOMfsMA1bRuMwYAw1QTibQu0NgNE0NIFpXt/IY2dk9b8HsySEkUEC2zsvNzcQES0xVyLgTu3tpnNBwwyDTf/eG71K1lNBoxvX2frNcnzVKKourGy40MLTWG/ekOeZZdA+JlURBCIDUKuWF7RATDXg8pIuti1RmJC0GqU4qqO2aaZTz54H3OTk8oyuLVwsGNdg0h0Ov1GPT7PHr4cGNS3RXxZVXhnSNBsD8ZMsgzpAqcnF8xX5aULpIYzbCX8etffcx0NCDPEoILBCFxznHy4bs8na2Y1Z7du4+QbY0Jltfv7XFyesbp+QVH55d8+a03efzaawidsF4vKdcriqqkrWuqqubJi2OOF2vaVYXfMPyUlLitd9ef0FeMkl16ZIi8sTfhzs6E3eGA3/34tANKne9YPp95Hq/75WfG33/V43HHwny1kPNz9/+c83fSWDbgZtx4gX0awP/p42wBoldg/vVi0mcIY69E8jePeQO5uikn3bzXtuP/TZnp9X/lzfYN1wzEG1TFT33mFVZ1Ayy8sd+rfV55mMXgwHfXbjfo83WowZ8TlFolCTSQNJJxO6DQFa1qEaYmmogzAkYCe66oX2rmj/apxRzn1+y2ksuPGt6dVzy47Qi6T7MeYrJTXOjR2gkXT2dEDTrVrAV4kyDyPtPpCCM9YilYiJ9gey1uT7L7QST6htoGnp+ViKBIZUJrLlmamg9Cy+0/kExlzqN7DyHbIdeS6b0x/uMn1LrGOovPACMgh9mVQraCRES87+GEw6WnSCTSJviXU9K8RKpAzFd85ctv8eBwwLAfcC/3KVXk9PExo6OcfpWyq4eMdnr4rOEo/Ygf/f6KT15e8OQffI8vPN7j4GDML//aPe4oTWIdv3LvLo9vjVBjw3u3Wx6vUsatxi3WrM4t80tPmqxBRKKJyMOW8HJIXGq0uqIXA0LDfNQQqwTfGFamQ1ejUIh6hB1WRN3SLgP9NpJ2txWVeVQqWD/fIaTnYArydEWdS9rMcJCWsNQ4p0mqV6vvqRVcqZpFUqOmBjMv4apFMgICUQrEnoMrTaw0xXnkdHbF4kcrggTbKGwrGbOkHUTsSPHViwecO8szCvSbK3aWgd0zycc8YMyaQ3nJ+48NsRSYC8HDtqXKApejyDqB8XrCwXqf+bMS3TiyheAqTWmHBXbvgnsrSApIZLdo0yrBLDHsVTVWduwOIyegHTZZYuseUnqUarG6AxycTal01SVNtxUPLj1BCp6nCTqvyYQjtwGZ7aBFD+oBxn1EvxHcavao40uatEVHgZ8FvIWjniarZ6RtgIXE9haUpqWqhox9S1JGRDXER0ck0hNTjFSgamz2CcfFIWc+IamvsBOPRxBeXJKmlpg5nu1F7jvNvtDcH1kunMRKw51vTnnNDdkPkn39nLDMWa0zzo88r92ZMOoPMSdAlqFSw8HgTeooWFYlF1ZijEMNAvlS0MYBmdnjr//GLq9/8dfYv/dLP3tQybrxy4kVbS/BJxmCEcwl67MLLs5q9g8qbNvQzj3l8QHNGI7HjuFsji0lVmTIbIh2jmxlOVwHekh6yvAdH8jbwGgdIZcspaKUin6wyAks70U+/v4zoh0yupuw/8YBqfEMZiXndxYkV4Jbpzn92w1h4mimM+w52BTaKew/HSJWLe2q5Zmakqc1tweXPFtWtCuNP+rhbgUgQa4GvLM3pL8bme0XzGYr5pcNq2cBOTWQCJjO+e2/9CYPd8fkreHy6Pu4yvGNh3eofvsOyXjKYXMLfRappeToMOFY/IjEVHxpNKZWQ4TQ9ENEhxpFF/CT+DdIkAzNRwStaInM25ZlTDBC8FhYfug0cyK9ZM37f/Cclx9d8cMfXxKqsgPigbLZ3Dctufc4586jA77x+m+R6AlCRUL6XapFRdU6rsaRt+eP2PE7nLxVkp4tUfOKellyNN3FTgb8lXuQ5QItBPE8R5aOWDcs7AuWc0NlDcN3UqwTBCe44yLFsxXr0zUvsxkPBwfc7e8RxwdUw5Yma2lPgPMF7mLGe8Pv8e2XDefek/riukCTc0PbJtStYcwF1ArjDV4bMukZCMesyKC15NHzP3jzATuTCbLt889nkqU7ox2doslxTUJrU4rbimBb2mWJWmvQGXYwIO4q7DJQrQriXoNsM2IY0KvOGRjHtC+5OBpD2sL+GauBJC4NPFW4xx7lIkkraXcGtHVDfbVi0Q6oY0uf2L1zneNsNcPuenqt4M4yYq40ImYYO+kSWaOjtRpit2gsM8HLtsWnc+T9S4Tw6LqrJcftFSYYAt37LsWSV57KaGwU+JXAiwtqk9DEAYyWkDVcrmESwQhBr7AgFD7pEtnNICEiWJwWROvRRObRUlQJbfuK4R6jwtoxjGpC33LloG15NT+alqihQi8eUGuDC47p6j2KkcBNBdkqUDs6yWGSEbQmoBD1IXF0gR/X6LXC9zx+FBHNCClKlHLIoUAEQaglp/1dVLtCLVecNhpdV+iz6ufOk/7cnlKf3sKmOBHY2l1P5Jq6vJ4gaq2JIb5iqGwMzmO8sYK9ZS7FSLVcb/YTGCM3nw0c3n/YSQRtw/nJKd75DcMDfNXQ1N3Tr7SmWhUUV5fE0JncNlUJIV4b1sYYN+at8fp6BJ3hqtb62ow10YpEdYasKEU2GCClpGhalDYonaJUJ3NqXKBelVRFg3eWq/kCGwXKZAgpUYBUXSerg0Yrxc7uIQFHFRxBdlHjwVqubENhw41J/v//bVvJYYjxRoJYx2QL3nOzhBFCEGV3z33oWDth6278KQnKDZBhYzqvb7IWroubGzIP8cqE+xcpMa6Pf5P5AJvV+oDz4JzAJAqdaPpZhggBLSRpqjm7WuK8J1Gd2bQPkdYGhv2cPEuY9HNOL+cI4ODWGOs8ddNyMV+SGo0xijw1zIua1nUgklYb75wYyDdMvHVZXbNh3MZk/abHE5trng5zdgYZd3b6LFdL1mXDyapllAeM6LTVSkakiJS1Y+egT9brc35xRggtInqwBRezkqKy9Pt9ekOFD3B6MeOv/ju/zX/nN/8C/+P/6H9GkiYdZV+IjZF5pKlqfPAEEekBy4tzzk9eUjUtRhnG/eTaP8ttGEGfZZrFLVNiy8T4hZhTbBgXXR+UMUCITPojooscHZ3yxYd32R2P2d/ZY3Y1w8hAL1FUjcSFTq5pxA3DZE3H/JGRw0kCCLwPNK5b6dgamxsNmYEv3B2SaUFTV4jzikXtWTYBrSRCCTSe/Tt32Du8xXS6w8fPT8jblodvPOb+F7+CznoUZUNZN1jbyU/H4z7j0ZD7d+6yWizxzqOV4mo+xzmLMRKtOo8e7yN3bu2TpSmtazpPCkDESGM9UkrG0wlad6y5Z8+eg+6K8m1YhNg8W/1+n9t37vBbv/M7ICTaGHb391mtV7RtS6oUj197jTuH+9w62OUP//jbvP/Rxxydz4nWMh30+V/8x/8T+vu3SPoDCCWItBvfX/6Ev/t3/t/803/x+/zhBx/wS1/6Io8f3uPs2YeMJhP2dncYD4/58le/zpe//st87ZvfxOCQviHamhgF3gVOn7zLt7/7A/7ouz/iv/z297tUxBBonaZqHZX1P9VvutQ4ye54QOs8jW1ZVzXf/fgFl0XNxarspKp04PSrEeFf7ya2tL8/B9bVjUeeqva89eAub9ze5y9+9S2KsqS1FucDlfPYEGlDJAaBc47FqkvDDCEy6vc2C0KBsmmo2wa7SZndenm1LlDbFut8xyLcMLO891jnrk3ztxCb+3kX/mfdNu8CJX/2/drK/7b+bz+LffVn3bQbkvg+xrzsPKqigsU+k1Cxw5pnA1jfClSHluEnH+DVmDZ7xJP1xyh7RZbUyLOHDMOaoXjOcsdQJhKnJO1JhvDdQlt8aNlZW26dlETxu7QplI8Cr78YUkTPZdrw+H/0HzAeVuT+x/zXf7tivYJGKFLO4ChweX7KMmkIvoc9K7k1fkZfRQbnDvdxQdYIdJLyxpXDCsEzE8njOS4PrAaRu7tnpD6Bi1uoX8m5HQO//d6S5mu/SjHe4ShJ2R1WpE3N6r0lSi4xyYh7x3+R5eApRX9BMj/l5eCQWan58d8/4GpHo/cG6PIBZfohRXLFsHebSu8SwojXHvwFZO8Tgq95vDhk/fIpR27JR69bTu8cIcICzhR2bIk6kr5MiU5DrnkpUtphwCeBfrDYXUsDxCeHiFtzRK/BfNySTSI67/pJWUXqEEiBdmVQq8id8BRRe7wTnL7WoJYGlpIX+52NgxIgdmpiqQmN5vgNiStBlJL40QN6fs44zjHjlis9ZaamMP8EVn1EM+EoOWUSHPddw0ePQM8i+Rms2EG1jnTlmAVFKRK07HHbrdE+YqPnPs+ptOSpSVFHYFtFUSue55BYR//M4rOUlpbj5JjswlELxSo1pE1DbDTV5YCXoo+WliQtcLtXBBWoY6R6GcAFjHNYusAOQWSHMwwBQ2TWJvjNvCRzGUkeGdxd8qwPaT7hteFbHJY/YWoidye3Ub/3nHU1Z/hQEY4tTYycjZ8g6q+wN8r4a19f8L3vP0MS+OUv3aJaL5jNLN971/G1nZzRbsbur8A//r195pctb+cnrG4NqI2kWFzx9v0KIxw//EGP2yxQAo5Q3Lr0KOA0b7qhwwmys4xv3rrH23cmTP6apfhkxenzmr/9t9b8+m9E5P2Uw+U+KokkuUV9UHKwu8v4cI/v5oIwc6R2wfBLS/7gewuenlZ8+a++xu0mslha/uUff8L/9H/4Nn/jr/4FvvbN/zkm6f8Co4oj0lD5gJJzBumSMO1RfPiSyx8dYaRGeYUmcDR8n7gnkfudfDW+mBOLObMDxUWh8GuNfUeze7rD7rMRs2fvkVpP3ULvi/dwWuNqQXZ0TG5G9A4PWH/NcXm7x2lw3N5LkXZEtjrg7h+/h9prmPx6QbN2XL0IHP9Tz1cODEIMqJ5NOXhwSZ0rzswh/969GqUrgoMf7mjUWWBwteJsnaCCZCoEb34DdocRN48MfcsHteD3llPUm/eRvkV/+JJhr8dkb5e+HHPr8e8iS81bd95hfsdQjQ0XjUccTEi84TUvud1/DfqKdP81Xj+6xLSeptfn1L+giC2BMTmOXjSM/DtkY0FPw34ZCCIjSokynh01J9ENwzxyt5xyIl7w0e9/QHu7BR3gpSFpesgoqdOCL8SEt9M+k3f2mMRIX2jG2X9AWRbY1mFMzuOH++ztTvDmFt978S85Ov2QW08q7iSGZDThd37rv7extRDgxZZOTMDzwT/8O3zwnX/B/+ujZ/z64SO+0j9k9eycbJrSv23QH+zz5V/7Gm/86pdAP+7kxyISt14pvuGvud/lyT97l/f/yXv843/xLylvKdo7CeVHJZdngtmlogCMc+x6zyzLWO2OKG8N+BtFTt14Fi5wlY44e3LK7Cff4vhFS0WkZ3Ju9w4pTc28WjE9bihGkfV92F/fQxUJYg5nu0uW/YrVHZg8P6NNBasDSZMH6mXK6Yucsb9CA/lFzt3jhJbIWa8girBRtkB44qiBsyzDHs4ZtpHd05zmo4q1CKy0YH/VJ3eehIL9OKaSgll2TMQjEg/TgnSd0beR/VoSngoakYLd4z/80i5vfXHE/S/v41cN2IAIsLzfYKUgPh2gmgposVnFxWWGE4rJPYi2IMhA2x+wbmf4qsW8zJFnc7AWt5vz/VAwtw2/cqflo/FtljFhx6UU80vquiDLLG3bkYCy7JTeokLNBWWaEjdFk6kqxFFCSARtOO7UaCJyeQh6pdFXmpWL9FvHIJRcpsfEIhALQ2XPSWaWZG3o+4rkrI86y7hIKqSyxAGYdYQ2okXgTblg6UrmTYkZlLTDjGaQ/vw50p92UrUFmn7aZHXjvRLjtRHtTdnTdiVUKtXR6aKmbZouWU/c2HfzuejjdeKRVAqlFFmS4ryjqRt89NcUfyklQtMZFNsODFNaEZzbcC8tse32NUKSDcabgjYwyLIOJImd385WUhM3HAEhu+NLIUiUwqiO+WKjoC4rnPe0tkHJLiK8S4XbmtB2/jrBe6qqoHV+44XVTYq9D1xdzVkXZSdbCpEYPSF6WtutYocYcd52ptrXLf3z79HN9v83vXWMuY5F0zrPq6D5zer0NcT06rpD7NhE2/FxK9f4vGNvfyo+8/PtGV79sNtHSfGq2LhmP/30tm0/pToATdIBPttjdSa9Eq1NB2ZuGFhSSozR9Hs5crlGhLDxWOsYVlIIsjSln6f08xzEomMQSkWSdnRsKeIN77C48Sbqvs+mtsK7gFKKPE3YnU44vriiaS3TyZAYOrnrsmw3nxHX9wFgtippaof1gUEqSGQn3zleBKTsQFWPYFmUlNbRWsc4VfSMwLUlMni03EjClEJrgdGGu/fu8/YXv0x/POHi8pLZ1Yy6bUhNQpokjHp90sRgTIIwKQFonaN17YZ9Zlis15RNg4vXOWuv7u2nOv8m7ODG/ftZbIbrVPcNwrVlslnv8BGkNuzt7dM26y5JaUMJ8UHg6WR71kW0BOR2DNyy1SQ+dGOitR1aJsQr9oUQgsxIyrqlFlDUDqkStHbEut4kDkryPGcxuyTGSGtdJ5FLEvqjMWnWQ5oUJTv5qJKKXq7YmU7J84yqLkFAmqZMxxOEEFRNhXMNw8EQISRVVdFYSwCUVrx6DDofMaEkInbjVdgsGrAZrhKtOwP+DR1mywxUOtmY/Ruk0gipicJT+8jFak1UCicVq9bj5SbJNHQ+ZTrv43ykWRfMLk/wNiJCYDfRTG7d5dFbX+TH659wPr+iqtacvXzOnVsH7O1OaXXGRdXy5PQS3vuIXENPw+t7Yy7OLzg9O+fs5IjLVYkwmv1hznwdKOr6Wor1OSMEgg50bDfpllmSsGwsZesoN9Jdwfbd13WmfxPj7M8CTH5RNs8rQ/iOMfXwzi2+8uYjvvH1r7NcrbDWAYI2hG6hJwJ0ksayriibbuW318s27+qAtZbGOXzwHYgZOwC49Z667aSVre36VgiBYC1N28m3vfP42EngmxA2iZ5d0IHb7h8ibdPQWktZ1SRJZ0oupOyAsdCFmMRNaqe1DutdB3B7T+sC1gdcjD/zHbq9l1tA+V8lKDVwDhsCdYR55miDBK/QdEmpddSYC4UzGV6m1OUKKxVYAU6T+YRRGDBIxgSV0WqDSy8IsUZVKwBCVHirMVcNsY40Fuoq4hJwg8jdwQRlay5lydy2hKBwyR5SPWWUKnaSIW1zjksNzZ0pWh0jFw29xRy/MoSeIO8L9va/CK2krzz3RyWkkQe5JnhwMdDElp29ESFkzCd9dJYyjjW3X39Jk0WKUCPXgdOrgrNiRfXimJAaSK9QZcMynxNDxXC2ZjlrKCrJ5ckK5xqEDngUq0WFdJ6jxRHPZQDWZH6GTM+IWKpyRTm/oIgFR6KhvapRG6aCrrrYajwIPIiAQ+CahOAkzoNXjqAjMS0QrUFGjRgsCVET2iFGW2IUiI0sQqYRrSJp2acRDa3wnem5t0TjcHQTbgXQKEKbEKxmsGrAGYI3lLEhiECjFGYQCL4CF9lNIE7BDyNtLahrgbSKnjYIaVHCkqYZhpqsbZCxwZCSRU21HKHaGqlbEuewaBwa3/RJgqOvaqzoxr4sCIJPaAW0wlHpzbtTCup+xFqFqHIy0SCVBRyqGiAzi+gVJHmKaiKm9cwHOV4HCAVt7pEq0ksEhoDwAtlo6iojkYJb08ikNLA2SHdBP5GMZI8ht3HhFOcsSSE4DyNK5VnlS/YPAoOpIDvIKEiQIZANNe10TH/X8yUcg+GApCfQpmAsGyyBpUvoF4rMRArbkAXJzqDH73xjwsv3zqkbz9tv32KnrHFlw/lJSe49RkRUJpDa0ETN5fMF9hziWvPOoGJHR7yPfHzhGO1DNJ507Dg9LzirNYUv2U9h3B9Qzs4YBcGdnqLptwxjRs8YxFhy+/4bvPnGr5DmI1aioAwX1KuKUZbTT3MSJohPjWAWQkU8MwgliYeSo6riksBqoBHZCtnU0EScNSjvUTiqVSRGBSON6OfQSPCSvSCRSWQxXHMrg1rCOoA+scSlwcectegzIiDDJQUprWjRynHw2j2WQbD46BiTRUSqEDqDdUEZ4GQMB+uERBiCUmC6Yl9EiVJ9qCLNZaBnI2EtqHVHWMh7cHgHymKFW1kWJw0D02eaeIxsmPolfR3YOUypZjNeioQoR7jbu/SlxtzX5OkAJQxKme6ZlRGvF4zznKg1q2pNI2t0ZhhM93Frz9qtOWPNIDPkEcp1g/IWLQRZOqQVNVGAQpKIwEgIBqLPebrgKlOIECB6JJpJeos2lLgNa0qsJPJKk8chUlR4FVnngdqFTeBQQNcLZusakzZc+RWVipheD4RGyZw0HaFUV7sel2eIokY7z+GDPcYPD9irvsDe6ozLizV//OyHPP9+zeOv3OX+67eopobL2Ce9sizVByghSbXh8eE9lmcnLM+P8a7GBRjcSnjtzV1mec1cO+p1j9AqWgSBIQ6BRZC5kkY0WC15WQZ6WjEcGa7KhqWTnKVDsv4xSYg4oahcjfUWIQIVAusEshTUmUNKh5AOv0whGJRz+FAQfUDXkZ4FV0UKEXBaEDD4dsAqLYnBYVqPW0sI3dOS2wIjAhme2pa0LrIIgZpuUQfASUuVBto9Qb424AQtkoG2hCCw9YCsJ1EBFmVK3wYSEblSK/befJvXvniPN7/2GN80RO8RMVLvOrwQxIc50rYQHcG0LAtFEIbezhhcRRARn+ZUocS3DXpWIReAF/ih5J4/p/AFk6blNBtQ+YT+25HLckZlS1JtsTUEB1J54qrFt44i8fjNOK5Li113dUq9E9GlRFqBH7QoC8IJXGJIlqCqSJHXrAtJVQvKVNI2DbatKQYO5xOUSzHNCpdAgUKtLC56rISyLKiCpU0iComuPTo0/LztT+Uptd3Uxm9jK7nrlua2/HxxLYfagjNCdObnQqouiUd3kcxt2157Sd2cZG89JqAzBxdSoBNNr9/Htg3OOZqmRivVpY1phZCGNM+7pD2pyPIc21R47wneoUNEa4VJUwajMUKCcy2H4zG9JKGnNUVd0/pA67p49hgDPnRAVQdmdJHhPkS8dSxmM8q6omrqX7gNPwsYrdfrny5qbhYW4prn84v5fdyUQ9w4z7+pbVv8GSlJtegme3RFjrpRDn72m4WN9OxTApVrHOnVK1ncFOGIG8fZsqo2nwlik0C2AWa2zDwhOy8m7z+/nSKdyfcmeZyy6QpqITp/njRJGAz6tDdMj5XqQNFeL+/kQhtmTdiAnUoJemlCL8tI06QDZnygDoFBlpBnCXuDjNa2tNaxLCrkRhboN98txoh1Aak0g+GQNx/cYbmucS5w93AP37SUVcOiuLjuTxsSANZ5TmerDmxQgsOhJtKBpB9deDKzITdJyeV8jvORXpZye9hj2ldczBckKkUrw9p17BKlFFmacnDnDvdefwMb4JMXR7z3wYdczmdMxhN2JhPefP019qZTUpMi0h5BKnzwNLYBNEJozudzatt0EsefVT7eQBTip/53Awr91H3kWup3zSgLgaqt8QTSXs6du3eoihl4C6GT1uGgDWA9NC6S6m6AZcPKlLIbfxoXcS7Q2m3W3RawAIkg1Zrz+ZrWw6qBnfEIrRUhdi9HrVL6/QHHz59xfnrKYPcSqSWD0Zj+eNKBPRFECERrkUC/32M6GSEEnJ0cM+iN6I9yDvcPkDKyWq+4ms8Yj0YopQjRsyoKhIDRcPhqjAihY4bGSFNWVGVFXb8a06To/KHq1rIJY+zG4A0IIWVn5LmuKtZlRVlWVE3LbLkiSQw70x3W6xVFUbMuS0LToKVkUdTUV0uW6zU//sl7NKslMnq+/LV3MJND3vhqyuHJnA/e/TEvnz1jtSz58pc8j2RGExTNySUvS893PviYYWbYG+T893/ta3z3u9/l29/5Pi/XZecHhmN/lOFszbrwCDQbbPF6IeW6W20WT4q6ppem9NOMWWU7vyUpO+Nrx41Fgs/y+G4c57/l7RcX733+tn1HhxB4/PA+X/vyl3jnq7/EfLnCO9/5j20kdlKIDegorsdSISUqMde9nRCufZ+I8Zql6aLvjOFd5+W4BT29bamrBmcdru0YlN4HKudofcB5T9N2fclah3eOxXzJar3m5PySwXDQjbHG0DYWay1l1TGTvXOsy4pVXXUMrrphWdas6parqt6ulH2qPa69rfjs++jTCZt/1m1iHZfRsRaOdT9iGjBVJKHCSrjCkL5MEWJMrSas7DZZsyXNEoZhyIHfpbczosokVbpPrS4Iq5Jk1hARuJBi24ze8QJHYCYkRZ0gR5F06Nnf20M0c2R7xNHZMXM3ZjLdRyfvszNM+cJ4xOmxYLXTY/GN1xisFuQvCkYvl5yVE7Ke4eCWIRG/Qb9Oec2dM3hrTjYNjCaai3aALx3J5RwmD1mJnCcl6OeagVix+3akma3pz1Ykl4I/mlku1wvq2YeUWUbIQEz+mJohWEl61VK3ZwgfGMUFocyQqaAe1LTnUB+BvnzCcVxTS02ezrh5q6KAoAPNrCFZJSjbyRzMMiBCxOYCRMtWtirWKfiUVvaIqiCmFTG/RKxvEWMPbj/FtvuEokdizroT2IQoInrgMblAXe7S6hVrWRNPp/jJFX5Y0XkOdnMPVgZvU4Iz7J2ukCbF64xjs8ASWUmDGTa49QqaJXf6mjiItKnj6GmkFJISxTT2EZQE6RH9jKxpySuLpOy8Dsm5utpB6TUmXWBc5+sqEbRuxFCu2DNzTkTaKTClQImUQngaHOu8I3mkDqodSagMqs3YETNitBQt6KsdmDSoaUVvkKNlJHjL1d4YZ2qiXeA3i7uJEegYkI1ELzRVOSZRCfenht5FzqpY8pF7l+y1KZkeIcs7rNT7FLHl4DLhNOywSiwiX/PG2yXjHUk7lpy6FGkDpZYUd8cYJfm1/UB5pinbmvNmyS4lDsX77S3euYBUWo6URawG7EyG/OZffMT/eV6zWLR887cfM5yvWJwu+dbJEwbeM5CBtC9oE8FJE6n/8AxZjMiD4q+/7qj6sLaCH54U3Bso+kNPcrfhgyeXXC1X7D844YtvPebOZMKTn/yA+9kdHoyHfEtdcRh6DGJGf0+ze+ttDm79OiFEzsIJR/YFs+NzXtvd597kgBF5578qRKfaoAFfwPOE+Ejj7xk+/OOPOdGC9e0+zfgpYW6JMwHnI0xbkdo1y5NAMDnsDlH9CXoBWRt4tLJciDVHuyt+aSJ5USnOYmD8pCCQ4HXClRwyliUxPmdZHmLbktzUPPjiW5zWnpd8hziAqBNsOcKf1axl4Og1yfB7GX1hyEcBqyCmFvKausxxM1h/FBm2kUYKTpIEgHwEd74cuTy+ZHXZ8vEzz29+8zGD3JOkRxzURxyOUt54Y4fF0UtOTh1X8hDx6AHjHQkHgcz0yXzGNEqiNVSi4rR/xmF6jxAlZ5cvmSceelN2Dg7ph4xFfcFx/Da7kxEpgqftHNEsUU6RjzLW8ooQLL22R0JLTygGvs8PpOATtamPG1DRsNd7wEn4kLbtFhDquaA+02TVkKA9RdJwYa6woqQJlllb8+Sowlw4BmNBW7bEJqLSCdEZREwIoQPUG1fw3slPEEeX5LVl5/ZXyF/bZX/0K3zpe2d894/+Du/96Hf50R8N+OuDQ/TDO6z3FH4JJz8+5al+l0xLJlmPR/t/hfNnf8iT7/wRxeqAoK8IE8f9r91CXZ3RXMxoz3com8BaOGCnA8mE5I59Ar6giRXfnhnemPb50v6I88WKs5hyvH+f2+GSVdPQNpbZYoHsTJpZGENsQV/A6lFJ7LUwqIkfvkZiDbmAJjkieoeZw7CtsTLgMkeLwbsetp1wtj/HNA39NYR5TtwEmg1YkoVAz0muVg2Vh5MAZZJ3li4xUqkG3ws0fcm9DwzeKWxM6akKrKJeT+m9bvFacCITvrgoCKLmbHzK8OtT9r7xmLtf/WUEjm6GdgMjEQKulSub4oIceAy0IMLm9wZiC3wCHGz2qYFnwGLzuR5YBZcrvFgTaVAuImpLaD1lI5mfNxRFSyOvaHrgjUAVkvrDgvqq5vILlt5pSrrU6DQQRI1XjnLQx59k+CuJyJ9zfCK4uJCUNnB2vOT0askPxwU+ZCibsXvU0mAovMGULbbvsXnkamFpMmh7irzN6RWWdPGvEJTabluGwefFhQs2Uiu/KYA3ncFvVjoRHmcblJLoTRx8VJvo8Y0/RMdM2vxbSNIs68AkrZABjMno7XQeOFoIDHB4514nnzPJNbggJNi6JAR/7UfUXZTCO49zlqoueboqkUqitaZqGth4a8gYN4BHN1kJMeJioHUe50MnO9iYm2utP1XYbP+19Svq2u0GNyi+Aqh+ymD7M236p78/nz3fv/lNSsgSRT8z+BDQsotSd13YwyYxrpNCudDdu2vvks0xBKDU1hiXV2bXYvuYb+9WB2REOqncNg1S0DHRRAj08hTrPevGXgNjP0saGUKkl3YpTFJEirYrUOXG/NZISU9rbF3TNi2rsmY67FMBp2eXmwRKWLRt55+lJb0sYVVWzFcFZVXjN+Dti5dnKAVZojkcDwiblf9l3XQm4ELio7+WvqapYlUWVG3NfLFkuS4QUtIgsVHShFcsI0FnoFtbh6Dr48NeSp5IEu0Z5xolQc1bjhYNi9p3XipSkchOYrmoLC4EVq3i9liy2xcMM0k22oNkyI975/zxt/6QD598jDYp7777Hs+ePyfguiQrkzAZT7h75y73793n3//3/waJbygXS1ZFidYJBoH1bcfCkQrvI/Fnlt/bSPsbVKlt9bgFXLZ/xI0jxNhlRwhBVVWcX5zzwZMPufi1b0DW49a9h/zBj59Rty0m6ab2HVFEUDtQMmJCwIeuTyZKkBmBkZ0nVl1uihy4lhRXLQxHCf0MJn04XqyprN8ApJHWOZZVjZYKkNA29Kc77Ny6xf3Hj/GuY41NRrc5aDoTcyklly+PqKuCsiwZPBwREVwtLsn7/S6VR8qOFSUl0/GYdC8hhMBytdqMjZ3hu1YGrRMODw+Yjiec5b3N9W88/0LgJkRotCbLc4Y7O+hNYpu1luV6xbooSbIMvZFvfvziKUSQSPYPD2irCkLg//b3/gH9/gCTGObzNXVZURVr/ps//D+yWC4oyooqCFxVM0gSbGr56MnHPPn4KToxHBwesn9wyP03HiN8RqoVYu8ub/5qj/zOHf5X/+v/DRezFUVjmeSKGAOBbYLjT8tCu67RscFcCIS6Y6zF0CUnNps0z+ve968BePpZ23bd5s8zzG/f4UrCqN8jNQknZ5c0rd2w4BR64xcmlezMpoXoPG6k7Nih1l2/tCICITomMYAQ24QWA4nBJJDkr9pty3YmRiSb8WY7jm+YxmwDITbPdAidn1dVVwjZSenFZgEixoB1WyaWp647I+y2tSglef7iiA8/ecr/9v/+/+wWFj7TA2KM7IwG7E/G/PoX3sI7t2kLT+sdrf/zCQs/4Q08FmJDtszYxsEcNg2FUqy0ocka8skpk+kxV880AoeUltVqQKmXrNJL3pMfsJMI7g0VjG+j4prkaMbHPILEoHbh9v0rZDLFqkdMj4cMD5bsPTxmtw0cih5f7r/ByeiCvltx5/mA7LceoQYGPc5YJH+NUjsWZsHBH7yG3RHM/qOcdz7O0dES1YLMnuAbx1l9zOL7CttXXO0bflKWDK5WfPPDJ+i9I4IJ9Ljkx7sjZJ1S/IHhD94KzKzF/rgEU0CURPmYpgVsIF039LkgiS0TBMcPRzRK0bxo2XM7iEpwGi4Zt53P4VmaAmuGMXK36Sa9rZQcGYM7dPjcQwOi7AJs2sOWehGhVLDeIR3P0LpGX0R2RQ+ZKp6/FoingniqIYzhcAn5ivbla6BWKHlJqAcYUqSGZu8FhduhXPTQ4TllO6SVQ7Jshhs0+J6Bj+/jRiviXsHdlw1rGagzQ2imrHCsVUN96xC1WqOWK4ZPoM4F6x4cJXBvMeL14haPyxkfCsv7fY94CQfWc0sLDoYnWOmpWsksLFlPViz2BGLcyXJsCMiXgmkB+0UglUdIFDKMOLhVMReeEx9Y7Xhc3eLnNWmRMpaRg17LQN6F/Rb/+il7wwccHzte/nDOG8MloR9ZqBFnTWeAbd9oyTlFtZLSj7j3Rc1hlfLowz7/bHECTcN+u+L1xz2mQ8ntOufjL33E5UXB8g8j73+t4KPdI9qkgf0Zadbw1FeEecsUzf3ZhMOPK4onJX/75Zr5ZsL4n//DlyjXMMwyLh494vD0GVaWvPtGQ3o70ht5qC/5SVWjbERaww9Y8GxRUv8jRXO0IE9TPhrs0/NriqWnqkbU8aoD22ZDVgcG14usP6m4d5CyM01IbztGPuGwSZlOF/yDZ56fWI80lv64QhnPT04Nd15vSfo13zuc8mt9eCureG2VkY6miJ0d/pMdRf38Pf7W/+f/wK7u83e/9U/4/R9+F/1MsfOox+7dHl/gNV57tM+DR7f49X/3b5LGithese79BM6n2PWED8JTJjs9fjvL+Ee/N+COM9wVCZfTYxY7kWJs+Fr5gPNhwnEmSWcfcrcK3JeS6olnB7gtBaa9gykk6SKwxxH53WPMwwt++P1dlnLIx3IX/d/sc/61yHuvvc9v+6+QJpbBuMcfPlO0vmAyXPGs3mco4BtLS/Y4B1kT4xmX79+m2Wu4eGvGnYuCdidw9e8ZJt9WNIvIySZrxZ7XLP9ZxeO/nHDvYIf7yS7vnc55bj31aMSz4zXH64SfZD1+Jy3o9S+x++/z5ug2w3Gf9Z0BYlkiQ43oS+psHx9HjPU7LKqn6Kri0blkeX9E4/uIo0v07YJhCDz++G1MWIFZM94RRPElbITL5gmRDImhUQW136Ev+9x7PeVXXuww8HO+BSTLBKEDz/rfp2wUvs1J04rll3LO38m5nMzYz4aM1JRhEVgUiqRqONSaUjfUIrI80jTxACVS7uYrfJXjGsV/+a3/Amnyji3szlgJKIXnj/7h30XNBHEZuYgzqvaINBN8dVfw3h/8C779rd8nAm/99ju8/s0vcHt0C5e3lKkA7vLwa7/E8EHCf/qf/he89+6KoxcVD944palayqVH2IKGPjDo3p1mhk2XHK0PGVByIJac7jUclw3u3TmDB4qrleZspnma17hqiFjtIszZBozpNuckzmpuvb/EacnKJLQm4vWaNiyompQYM4QQrB9ZYpIgmVCrGrF2ZKfHHJw5KgVno0hWHZCGlD6wTk4oheVKCJTr3vtFDlWTksfIbWkxp4J1T/B8L/DSFaQ9zZ17gtmzfZz16GzGkhbfaOL5iGdJA7rzuh5LwVhGOgAJaC1cXcFoDxIJ6hJEQge75IDZzD8+3rTj1mcwo6uMHwEXwBKYAm9vfr8AROfjuG+Qou1ArLgCDIKUXtwn844YG2I8IsoRiAyCJv52TQw1QV8gwi1EGINwwBpESxRDor8At4Z6iF+eEKoZQWd8cvycHz/9hP/l/+k9/CyFypBNBU2VUdc59ODOG/e598Yd/ubbChYROwenIjI4ZPhZlfar7U8FSm2Bjldyqk9v1xHmEeDTkeKv9t/GcItOugQbw9gONBJi62cqQEiM1l0xv2XHiM2kNgQCYGNERoHzHqztmFp0E1RnW7oo8HBtwhrp9vXe07gWv5HTCSm7ZEDo5Iex8+WRbFgjMWK9p91IFfxnQLmfaoufWoXtzv6zfv+qdV7t/2etef6NyEm2bfc5F30THlAS9vuCnZ5kVkSWdWS9eYY7rykIRKIQBMQmke5VMSw3R3rVVzYrnJufhbhhEEQ2k36BpCv8lZIkWUJiNMECdbsxQP957bXpe7GT0UkpO1lmCFhnaeoK7x0QMUp1XinEayPhreSHDdtJa0kI3bU6H5AbbZ4PHoXE+8CibDaJjgHnN/K7TWG2BYBDjETnERGCCR3AQaRYr2kbS7OR2FzfnyioW7dhA2yZD4rLdYUPgUTLDQusW9VsXXjVB2NkUTZUVuF8YFFaRPQYoalXa6wMNK3l5dFLXp6eE4Xm4uKC9XqFUFALiRQlRVGyXhecn5+TZQnTPEW5jnETpUKEVz5SW0BExHgtg/uZd2fLjLvZJ7d/xKf33v42boCdtrXMr+ZUxRrvHCZJcRGilJg0xVq6Qe/GNXTJfIEQBSIKUqNQqjP7FuWGWyHYLJQIIhK7uSAlwAWPD/5TjEZrLUJrLJayWCGUIskyrmaXNGWBVIb+ZIf93QNEhNXiinK9oKkqlJTU5QoRPa7qUvuMSdk5OMR5i3OWsqpITILWmixJOT0/pWlbeoM+bVljq4pFYrC2udFOHZhpnbuWU7Ppe9txcCtv7p7JjllT1zVaK5RR1E2DVgajNf3BEKMN3lrWZU0QEmMNdduyKgpWiwXH5xdcXV6wXq+RJqWpKqy1XQCEDxuZdcQ2LbauWc4uMOMxbaI5efmSk9NjPvz4CfNVSdU2OOep2m04QpeaeM08/RRLavu1Bc5F+oOUvfGI6XDI6WzOs9OLTy0i/KIBCf9tbX/eYb4bRyJSSIzu7s+W1bz9bty4r9uX89Z36RX41CXUaW2Q2mz2vfGkbT8LN6S2NzmNkRheyUVfgc033ydxk+zYIXGD8fjTsu4YNuzRjlHlvSdJM7JeF0Citaa1jtW6RAnxqUWI7bsjxshwMODBndv8xd/6jc3xLFJKfAxd8uafp711RfQegkMEkCGgQqCWkjYBm9mNnEwSKoFTLVpmaDNmZ12gQ0vtLP0SjBdYq5gku/QHfYZf0CzkEKEV/QRu3drHNjusl3uIew39XDIu+uRRo5MII81O7jB1RbQtq6sJzVpQzB2DfkX0JWl5gqscNub4p4ZQzVjhOCkd+uopsfa0ZUMrPfVcs5j3aX3Duij5wdKhQgnG4pIrgrC41vDjxrA8lTROUlpBKh0SjcfQY4WULTF3nXO4l+gQoK0IUmN9SpE1SAK68eByAop68+AKAsUGIPdA4lyXyBsEo6KHd924pUpF2kSEg0q1BJlgpUSoijpKCKCqAukdQTpcz5IHi6kFJQ1ESyTgcgOtRhLxecT4Bu0ExUjj2oB2LcPQUBQJlUuIct0prYqMRloiAh0iTCXBde8UHTXRZ3gXCK6BvoBM0MwVChipQEmPN0YJj8YBFwPL88j8XDEeOWIWESnEeSANMFlFSgdOGHxImTaBiRf0RaAeOLKY0PMJRwON9wl7tWZpLL4NGyloijSQi8DVypOmCaPpAaY/xCxaEmGpehU+87TS09oUHy0+NCRr3y0oKc8OkbESiFThlcILBa5lXnSLIv2q4rjfss4F4s4YVwSiCPjhFf3SU5eSmU/InKOfR/LbCRfRsW58x9bw3fM7xzJM+jQYjl5esFy2tBKOTU7eq2kHAWJLJj2qjvhSYJfghSQZ5GQ7iia2HH3vEybFGXaxIg4qysrgvSYNkdwWONeAdPRETuZznp+douQcJSrkrgGZoteetqkpYouQnib1fHy+Zt1ELmc5l72WWV6zP9SUaUuTFNil55PvvWD57ozXdwLlB+f0T3ospGG1qokvCr5XOy7XRxxfPGXOPQ53JT1VUJGiW090K4RYYucV9cywu28RRcKsMtRBkBaC/pVkMC6YZwLIYBUpReRsHNBCo5sUW2XoZYU2cHsPJpcaT0pNH/YybNQUzxWT3RaCxn4QubhcY6NF7GdIG8hlyl5/QLHo5seLFESrQQgclie9AqkdsgqsWofqCcZ7hvNxTdVGYiHwXuJNQuz3uGiXZFhkUnO0LDhrAyEYVOOIJrJol7x0NcPKEy9PuWoD1k3JD1PytScCMxm5N70HGM6Wl5jLGtVaZJqQ+RJTOKraYV1BzBS7k0NCXNE2DtdIesaSooj0mZUNdYiEJKHvItK3nJ1I5m2giGCtQikPUVCtA97lECFxS9LgSKIl0BBjv6sVfEmgohUNNnpssDR41r5FiiFKJpS5RMkAznLhaogOKSH3Da3XOCsonwpOz19yNb/AXa25WMxZFpLRgUReWJhVzExNKC7pFVeYYoLca1FJZPHx+5TrE07P5qw/ajuJaqM4FpbEBkwt0KMcVWfQGExP4VXESQu6xZWK6nSEqNYMdwfcuTXhzl6fDz6qef5ihR2tidEjQkU0jqQNZDWAog3QRI8LEulg5D3lTouLDbZtkF6BTxExw9Ya2QaML/GyhbZTsDjf66wmhMcPVSfdr1ra1BGVR0nwRYLyEYPFyoCKAREcZcxp60AyL7CyoBUJ1Sol9Q1aWOqsQaoeIQowBVq2HQO2mZLYlMRJuthWvWFj5KDCZjKzs5kJSKBPBzwFoOj+HSMwAmE6ZgYS4oCOGZWBSPk0M1+A1gg8nRFYDkiEMAj6GxuSfHOOfndc6u5YMQIJHcttsNmn1107aXeKkIE10BtDKyCdUEfLarFmUmqW1uFFRTEAmToGtqGOmoNxj68e7PHOr30TVXv82uJlB7iJX2AK9WdK33v17+2kVHzu5Hxb3HaMIa5XmbuVV8Wg399EwAtc7Bq7+ztsCA+CTaxal+CF6Ca1G2bBdjLqXdUZpcZ4zTzwPnTgRoxsKXRbOWHwfkOsE9i49X/q/FgQYuNx0SX5KQFKbQuzwM9QeX1ue90sOG+2n/xUitDNdoVthwtxC4h1E/R/i4hPv/D2KkHplaG5UoLX9+CXbgs+vIAPzj0fNp3kSYlO2tZuAEeJ6KLiN989+g2AeFOOJgUxcC0xiVF0Ou6NlITYAfE+BKQx9AY9lIjY4NmaoRM/jzNx/S06oDN0/VIJiZAd/d16T4weGSyezry9lyXdCrv3sPFcErIbfgRcg1odKNQlkW17fBSSxBiEgHlR4TbAaKY7FtMrSkK8ZhPI2BWMmdFYo7DOsbq6omk7v6i42X9bgFetw21S2ZAGJyTPryoWlaGXKBLTMWuyKCgadw1K+RCpXYMQgkxrnHPMC4EImuXlGaXX2KhZVw11a4lSkySGvJd19yh24HPbNBwfv+To6AVHL55ze2+P6XDYmU7rgPR2c70bME90HnU3g0R/6k5tbt/nggPbRgdEFNeA+ZZRpbXGO8dyPqdcLPBtg1S6u5/a0O/3Wa88fuP1prbfJcZNkqiAKPGhkzGmRl232cZ9COjYJaUDE8DI2DFx+PQYYW2LjHT9py6oqwbbtiR5Tlku0UnGzp2HPHz4OloILk6eUy6vcNYynexQzC8p55fMo+Xi4pLRdJdHb77F5eyCqqqZzWakJqWX5/SynMvzC1bFirsPHlAvl4gQCNWacr3uaOGbtg4x4pz/VPv60LFF2w3wqTbJq8YkaNWymM8QUpCkCc57hDQYqcj7A4xJOsmWbWi9w8dAay2r1YrZ1YxFWXK1WLK+uoLNYkEkkpkEKQU+KkKUHUDtPbOTIzICbWb46Mc/4Ls/eo9v/+hdFlWLFJI8lbjYyc19jNfXejM57tU92zxlQTDuD3j93h3eeu0uP/jgE16ez67v1U2m8KeYrv8KAKqb744/eb8/2/E/fWyxkaAaEtP9YZtICtfvb611R6nqUGJuJtJJpVFKk2U5OkkQUl2DxPHGIkGkC6zowPpwDe7HGGls26Vdhi6AQBuFlJ2XJLGT01e2xfuOfTUa9onOEbxnm2IaY8DHzu/RB3BIUAlSgTJd3xuMhqhrZtcr8Hu7TUZDHj18wL/7V/8KSitc8ORZxzgUKP48m9GXRAw+6G5u4T3KOha9HJs7bN8iLNgmY73KiPqKXrKLTu5zqL9P6RzzJnLXqm7xQUTupvvs340cvDPkNNEMouCBF8T8HquTEeJkRPvOR6RVS+84J7WG2PO0PU8/CTjXchVqXnycM2siZ97yTu+KQb3AzI4pv2Kw5YTmwwHx8RMubOQHRxMOkycop6jXO5ymc+pgaNvAW/kZNnp+3yYwd2Ba6Fl+tVkTiHzHOPaeZ2S+RyX2QXTPt42eQ2YkumK1G6muUnxjEI0lLpd4NN7uMtu9QouG3jLixBQvMtq2BiROBs4yh5CgQ2BQ1TQNiGjYWQxYUNPgMDPD1HZs15NkRSPHWGEQSaBoNcFF8vMlEAl5JO7WDBeQryROzzYeSwo36OQvwkViLhnbNZkqeZlM0cuWrCyY1g43n1KJAXH0BFFNoBmyyBuMBRME4hBYCMRSkDWCuu3RuoSWK4KOyFTgnmvM1DOc1pxXQ765J/jVR5HL6RX/6AfwXy+hN3VkIqLbLiSnV8DgVHAUPEXUOPocaktfBIz0HI8D0wC7jeCTfspenfFW0edZeE4bItgU2yYEoVBIPp5VjAc7DIcP8bpBaUlf9pnnJS61eFqcm4JvEOUKt4KoPPQsu61nJFrssKatDT4obAlPTyJ5YiFveDqJhCxl9+1dxCdr1GVNemtJdilglbIOI/bVFcOdgHxL8MknlnUbEPsSfRQI3tNMHMlkH2o4eu8D1gxpSWkXPeQ7HvoNsnLspJAomJ20yKuMXGTsfnmXU3XCcj7jxT/6Nq5pEcrD7cjqbEpRGVLWqOaKtpLsmcCQEVk55NufvIcfnqHHmttv7pGZHrdM5PyTGSvX0ggwo8i7z+e8Xzak9QNeZiuy/pr8C4ec9tdcqYrqecP3Xl7xcmVZPT6nbx/zDl/kh28o0vopcn3Cjy7POJ5VTD6Ef/6DHl96Z8LrDzPWfkrf1eiwJNcrqqOW4lng7u9oTs5zPjoSpIXh7ixytwR1eI4KEWENcW0473tOduC1tE88H2GLEf3Vjxjc9jy6IxHLPhduh/PiEHGnIp546p9EzH93iXYa8R3Dy7+yRMqWcDdnED3DZMibh48ZfvwdXuB5P82Rc4kUEicjLx/NGBvB6zPBSeuZCsNhz/BHo4JF0dV81mpcbwS37/Fk/QPyULKD53mz5KoFREbPtgQbWdc1HzWSgW2YnAesvmA4P+Dw1oTdpcYqeCktX32jhwaeLZ7RP/WYAP4NT9+ukGvP6vwF86MVyc6IL/zGPc4voS4C6yIwyRfkOiVnl4vlM9a2xQ2njG2LjC0frj2n65pjLE2jyLKAioK2TBEiQxNJW8tgXTNYVwjf4K3DeYsIV1hZUuqGmS3QNgUpWYqCkdhDSclVTzFMWoy3LENCEC0yWoJ1BCuh1phPJjw5/WN+dPYd+j8I1Mrg+wnZryr6tSS7EpwmKwah4HYxh7NLlIgk/cj5D36PF0+WPPlwTvtjwUAlMND/P+r+q1mW7M7yxH5buAx19NU3M5ECCaAAVKHQ1Wqa3TVjNj1k0WgkjeQYH8iPMMY3vtH4xnd+ANo80GgzZjS2kdNDsps9XWSJLoEqFFTqvFocHdrVlnzwiHPPTWRCVNV0T28D8p6I8PBw38r3f+31X4tHA8VBFdkLAnmwy2qWoIwm3RFYrwgdJOkKs55QL3YYloHb373Nd//pe7yvj7DmJX/xwweIfA5FCwNDxJItYG8lQCg6PLWMrJOEMnh2nEXttVTBsFpaMtMibQI2x84SEt+Sd1ME4LTCpTl1nGA9SGdxdyPRtoSzOSZvkUlAJwK7LBAmUAiHyy0qBlxnuYyHeOMoLte4yQobc2Yvc+6LJSEzrArI1ARBgMEzBk5AGLBqb5F1JZmTPesoKlAaJhMQDX0EeB+o6YOVEtD0aXpLoN1QFgYbAkG/QoEJ279epXsU12Gp/jwIIgO2aYNho9zcUzJ2iFcA2BLYQVBu1j0bACrKnsUl1IaAMUAIDemcKBLIJ1DcYHhScxjnHM5zYjCscsNsKNjTHTsYnqxG3N7J+f7hLu9//3+KziyRChgDCfFXgJx+ZVBK61eHfhUr5st0jF6Jfm9ZVhvXHWt5aS9epbDxClhQsg/nROxderZg1RdRtki8okOIKxpVvAIj4hcWn5sXdNHjIwS/udYNeOZcH4g5767cg5zgKrdre5ZfJezYqtqEzeK+zHoRwhAjXbcB1K4dvf2FLO3d/qQUtJ3BhW2e6b+fZRv2SSCRijY4Ltbw4AK+dRMOh4J7u4LPzjW2j0foml7jKWyEzrdFwQZf7J0T2aT79QymgBC94G0EQh9t4IkbXbCI71ramSORAkIkSzfpYb8ouIuRRGuKTJPrjGndbdz0dM+6C5G17UV4pRCkCdjYM5yCjXgPSZqyvzdhkGeE4Fms1xgb+mmk0NSdhQ2o4TZgmY+BYZGTKLUBYt1GmBtcjGil2RuPNmNC0Pke2NJKsDcoaIylMZ7p+vUcXiUkiVQM8xzv/catLcMhWFto1uYqLSjVffqsUhrX1D2bEFg3HVlaINOUC6OYrmpWTYX1kcmo5GBcgk4wtmd54QNxM3jTLCVNFISAtw0X0zOWqzlC9JpvWZqRJQnG+74uNoCy2GqeX6EG15ro2ltXc9AGDopfOFaIPl10O2/4ENGJJEszlnVLIgXlaEKaSIw1NG3TC9SH0B+/nQU21xHo++CqDSxbj/cNnXsFr/c/FXDB43xKZwJV120IVHITu/d3aWJE+QCiT4Nu12vWVcXF2TGDwYDBcASt4fjumyRpwnJ+gZlf0FVrqpOnZHmJkBJjXS8SLyKfPfic87NT5tNLnj95yMHhEcPhiPFowmw5p64rVj/9MaWWDPOMGwONqRfUda97wCa1+otl62oZYsRYs5nvJHmWEwO8ODuhOjlFS8Xd23dou47VfM6fP3nCcDikKAoGZc5utkOe5zRdx6pecX55zuLiAtN1RK0QWqPjq3kEemxkMppQDnKkCJwcn1IMhuzcvMWlypE7exzeuoH6/DNc8AQh8N5emVj4jQD3F55ebNXABonif/Yf/0dEb1kv5/xXv//HrOuWXIENEf/v4w7BLyk61f3YzDKwlkjPIhRSXZl9iI0LbZYlKJ0ilSbJc4wLVE3Hh8+OeXp2xrKq6Iwhy3IEsFyuqZsGayzGGtZ1hfeewWBAnueEEHj89Bld17tuQuz1ooqC4WiAtRZjDMvZgiRJGZQFv/HN90m1RgqBNYaiyCnynMO9PfI0JdEpKsmoqpquM2RCsPJQbRiq16nI27UHgA2waC3/4oc/ZTafczmbcXCwT9N21E3L//7/8L2/dh0PGhD7OewNeOfJmpnImGYT3o5L5gvN5bzkxtEK6zrqqsMJSMQZiZqjb+wTuo5uVXHeakQ0RDrOnv8bdprAjbXh4SySdDu8bI8YdY9YTgJnRwr+lWAf6DJ4tqOYTD1vnFi4iMQsEnYjPxt+iNjJ2EsHfPLBjLqWLPyQ2x8t0OGYYM6YfrZLguNGeMljaXBo0mxG2nmyEGniJc+D2yw8B4ibF5TRcPNc8vHIISO8vZbMEoFJDBkndEmFDoHDbsUyDvEmI140tMogk5Tz7k2S1XN2R5D9/TF3l4a4VnxcRhwVkZqCSNclhJDSdTe5823HKOtI/sJgF5q1UlxQMbYlQzFiuae4GM0JokO+AHRLVJ62PSDGhITAftuwThKclNytBMsxXE4E1eMEud+hio7944Y8CNCSl90QdxmwtSfemgIaL1PO9u7jTE1qL+iWdziINSMx42l3hFdrvF4z++ySdm+f9tY+Tf2IqDNknqLayM4cyjrychhwd2eIe0uKzxxub8hiNGCYDvjHb3Z8s+z4kc3J0kg+9vzVtMJGSRISmjcGjGZw69TxINEU3jK0nmfPR7yIms9R+Laj0S0v5CXyoSTzEuEDA2YYHfmrUiDLlGSxwv3pCfXaEoVkbz/HvxwhcoHc63h2X6HXit1TsPsdwhUk5zfQ+Q6lUtzQkdH6KfNomN6Dw5NzklqwauDwB4FSS26kLX+5yrAhcvRMsTAl6Vjz21/33H37HUJneP6XD9nzBTtao8Y5T3cWmLWG52+yuJiSFS2j9wRh3zEqAt9NKn70k5tMP83Aey7Scw6LwO/91j4uK6mKjH+lLGco9DDnd//pkJOfzpnNPUUm2L2zRHeSi3PN6WVK1eS8fUcR7gVqatxf7XM4KNEz+HHzlBcVdBV8+0Qx+dYeTBJ++AcvuPG1MfnXSj742RNmb0teHua0xzU/mZ7zJBiSlynvD+/y7f17yOw7VPsXtMVT3i3fok4T6iJjrFvuxx1u6JS/uvMZs+ND5g8nxJNz5H5BtjPh1vzvUPszunDJ7I9Ldm6uGb/5nOcfCxaTgD0InP1szK1Y83eTJX/17UPcqSE8aDh5J0OIFeTnLL4d2bkE+1PPg/ESO4xE4bn/ZIcdq9jZi4yLAWkGy4MLwkrh8pTFIKGKEXkeaDpPmsK9xHMzragvarztWeazW5rhtGDydMTP7k6QJ569Z2vqUlBYx6jznKZQmQt++GDO+78zpO1SPn+R8+bSsKdbPt9rOD+CgVW89TjjlhyyxvGTy3O+NddMP7nk//viAe9d3uHmzRHv/g8nVI8e4HVK27U8212QVg27H6+gfRtlJOX6ST/H7sPFkaCe73PZeP6g+RPuju9wqIe8FxP2mzGFH1C1Z5zSkSSRg72EHf85C3uMEClHtmWUW+zXW6bna6oq5aK9S/VcEkrLzn98gAuKdbCMTE6m90hE5KL9nP25Zxwk7w9+m5UPtO2KdvmQgRhQqJK75SG+DL0hg7/P4/oR54uX6PUz8scvufUMXqY5R0GyW2lWf7TH8g2F+8eK77zxHnEv48NsxeLiv+T24fe5HX6Lz+/dY100mPElpz/4r5iuPHWteW9aMBWKT3clv3F6zu1uyB5jPj5NyCJMhGD2hkEkkXE+4H/zP/+H7K46xA9m/Oef/UvWL5e8FyuePbyF36ng4BIDGAldDMidlqoQTAvBjWd3aE3gIQ2jekHR5ozP71C5Y6BBi4753UO8afCnU5q0JXOecdNQp5CFyJEzPFtPCUEiour7cQbrnZ4E1MkR5+YefvCIoY+k3QSVrbCDwPpwgO5apDEYccKFS5ExJ1+Cisd4J2G+w9ndGq0FwzXs3QqMj3IEbwNn9KwkS5+aN6BPy5v170VA7G8+GwGOgKHhMY9fPGS1mqLtikGT4AM8yTqK9gDlJK1/wGkUOC/42jrSDnfpkpL5OqHwC0Ko+VCuUbmj1Cnf4Vuc8Iy1nzGYKVQRyIqUe5NvocYRqT36qUHfFWSHCffGb5OIjfKq2GGlDB01B/GY+c6a49seKRu8GdLVA8LZE5Ze0/qELBh8XrC8vcOzH/5rlnRMY0Mc5Kxcw9rW/Ge/97/7xWvRX3VB9UXtI+ArX39V+tiWkbQNL9zG4Wj7zhaUClegVLzaDr7OFhKxBwD67/XokxCvH7QFpq6O2QSiW2e37am3TJKeXeW/cJ0/z8r4dfbBY4wkSpIqybhM6XzsBa23INv2xq6oHpsMCSlIlcRpSXQbUO+K3fHfvfLVaVWbz2LPpEi1IpGSZeN4FAKpFtjQB/CRiA8C47lW9/G1c13lhMTr721242NPiYqb711PrnwFiAaicxswIF6lknxZtW7d1eBV39SJRksJIZIqgZISHyLGetSGReBDL54uYy+M5X0PaFjraGWviWKdQ28YcFvHqT5IjttK6y3JQyQQ0GIrkk7PUNgwh9SGJeZDoDUO5zySSGfdlfX65mZetdMV8ynQtAYB7E9GQJ8WNa8MWvasLyU2dRb7cZqlvfBxvfmegD5ld3P+PJEUWpArQPgNkvTKECGKnjXmvSN6j0p6BzgtBTb0ejDWWbRUGzD2Vdv06P0r+OlVf4hX3eL1hvyiYgzXDtqmQwqC73W7WmN4cXrOwd6Yye4ue8OM5drhrennhasJ5fW+vnVF3DrTWRcIUW75N1vCCN5HJBGhIpkWbLC6vr+IK9/JTQpm73641bWLPhKsxTQ1q8sLnn72EWme0S7nDIqClMhiMaOt1zjvqZqm15PSCc+fPaZarlivljTLBbMYqZdL1uWMdsNicaaDxqJMSluNWC+XVOvVz42H688AJdUm3QvMRmctzYor9mGeJATZ6xEFH/qUKmeJMZAmmjLPIEactdRV5PT4BWenx0wvzuiahhhDr1W1GQ8i9hpGycaJNRJo6hrbtTRVxcnxy17vbDGnrSqWqxVblm0g9mm68dVmwWvtKF6/z0Rp3n/3HbSE9XrB2obelCN4fvbgKXVrN6mX/Erli8/DX8WE4ldhX/06adpfnVbd98Hz6ZSLxYKvv5sRNmxApRVK9WNeKgWiB+5q5+naBus9jXNM50supnN+/NEnnM3mVG2DtY4k6UXQ66al67reYc97OtPhgydLM5I0IcbI+eUU5/zVZlCWpyRJQp5lfbq9c7R1nxKaZhnn8/lG569nNudZTp5l7E4m5FlGmmq0VFR1D0qlqaZeV0wvL6/q42ruv7bJNl+tefT8Jf/Nv/kzlusVy9WK8WhIZ15Ph/7rlHboEINAnsM8aHyEQhoa5+k0eC3QDTgniEow8BEbFHVMuAwZbfREIWk1iNgLotZGwtKDdMi5xdJwoRoq1WGsx8wk3sFM9anx7UwgXeS48zSLlCyFUfAkKqDTQF5EsClCCxh7fBXolKfZd3jRAp5FdGSxd1FTqsOlYK1E1BkO2ztqFTWicAgLWuYE7/CxFy/u0oAXIF0ElxNioMsa2tgRUGgvkUJBFBjVol1koCRv7iu6OrCOoWfzbZ793mmUCghtiGVFTqSUAf+1nGgCwYEwGa1xCBxGSkRjkQG8G5KaDmSDDx6nSqIUGBS2EPhUUDUTmrTGas8YiXUSbzTGF+SlJckicS7ofCAkHt1IkBFXWERRI1VDKg3e5ehg0dGgZEuGIQ0eFwWyM+TrNbUIxNQSFSySFOn6jdmYjUkLzSCTlKZhdhL4WbPm3j2BipLRpMA8bli5BBcy0mVNNAIrBKIJWKuoSSizmsRGoovsh369oITnrHDU2nMpPM5OiNKD7shNpCbQ2sjRjiK3DjO3RBPxypAlNdFaICKWIA4qgnJYoXGuX4u5QYO+0OhyDIMDtH9KIjzpRHDQlLgucOYqtFV4JwhpxEws3sF6LWhlwMvIXGTkLiBtJPocVQ4JCOp5Q9ACkYOiI3UtqvM0612itqgGhrJkkmnsRLFyCYUVlN6R1C0iT5GAPV1RTC2FkyTGYNaexgi8LWiRSBFxhSHaACtILiXzWKG15tbdfYay6FPvXzomNkdaRbCGWWNwqSf3gr2BptzT2LzFlgmhhGKYI2zEO8veTcFkGNgpPbK8JGRLjG6puhXzrqFuDbeXkmAtp9ERkhQ/sphRx8y1JKOEvIzI2qKzjJDtEl1HMJ7YGAqn0V1KqFK0sYiBxe96YhnIsoQkUUx8g5UdbdqhZkNE7XCyo3QaV6VEqxCDOVIlJDrn9NwTR5DsOF6uLTtCsp8MePsbY5rzwEl7SbLwuFTQlZoYOrwQNFmGm0FN5Hw30FZLMhUhdQxcRucla2kZirR3La0rlFWoEBkIRb6b0wSNWAf0WJKryLh0JNJA6M0yVq1FJiAThapnxDPH6pMBL6vP0XnCgBqtI6IEV1lwT6lry5PTF+T7O5Q0JMsHmAa6ZoWcWczM0uiK5XjFMr5HE0saHxHmgqgsqbyB/bim/bxGa4uNBXVICWZJKoE0MNUKdWNCerMgCw1Lk2IitMIjoyeNMBAJmZbomJAF2WeaBM9cRpQsSeWYLnYIGxAO3Kzh+PELPn/+KcNHl8xsi9vJOSwFw1lEVY54Y8V+uU8Rh0gxw55ELtae+ZM5jXvK2WXGw0nFUHmUWzHLOuom4C2oixGBlC5KpkdzMAHbesQFxCwQBgLZSfad5Z6s+M1v3WFYgR0u+WY9x44HcK+juqxZGUe3VjAu6DJYFpGRpZ93pKP2kU57bGpwDcS2N2jqBhkyCHA1YZ2hgyBNRzQ+wSlDt9PhTcB5Tc0Q2dWkPjDyvWFDYxNilaMyD1lDiGpjIJWyKAZIP0d7jwkS0ZR9VlzuyIhoJ7ArRVptjG+CxXd9DGHilIv1gmnVcMgAxABIQGz1o7L+NWN6sKrFVmd0RnBpDAtXM2/mfHbyIfXxKWbespoXZKUlKMeZq0hNgYzg8jPW8wmxTXloOlp5SYwpw9YRd1aYtOXJ0hEzhdaaY3vMoljSCkP+ZJd8Z0YxMDxXp4jU99mH9ZD8oKCYFNzSK/Rhhp4k7OrI9PKE1WqO1EPismZ9fEnwvnd9lYZQlzjpiTh00Jwfr/ngx8dcfGBYlTNW+YJsMWQVatax4j/7vV+8Tvq1hc63ge4XU9L+OiVuAr3rwX8UghiueEZXwIaIW8JSRARIthkCYcuJ2Fi0w4ZSFbf/u2LCRfpgPGyO7YNZcXVfYcvK2AAG/afbFJxXZUu0+EUg0XbBNEw0wyzhaFxwURl8Z69SI67AArkNGuJVpKCVIFU9la5zfqOr8+tAYq+X/zbd+L4q6Lr6XIBWiiJJscqyrB0nc89ZJdgpJKNcYHyktpHGbmsdthUs4iaVUb4C8uQGZxSyZyuFK2Bq0+Zfcp8ReobONVAwXGPpXQcjr2ua+I1FuVKaTCVoBLnuFata66mdI0l6PRbrPWmqN4BIL3IeQ6RuGqq2V22MITDJU4SAte0X62EDwip6lpyQsk9z8QGd6J7pFXtgQImAjP29uBCxzlO3zVX3WYSGEAV+C96KVxo6fd+NtNbSdZZEKr558wDjDOum48XlEq30hq0InTH4GBkkCVmakCjFUkkkEWIgUZBoSZoodkpNmUhS6SG6DZga8c71//ZkmisHzVQPSJOUQV5wUXd01mxAqj6tR8RrTlhXqaC8YkwKENepUF9kRbHFMLcfbPtTXy9CiZ7ybzpc8Hz2+Ak6/RpvvfEut/eG4FouVzXey6s+sRXRv8IPFZv0xNjPRWGbrrQdzwKiwPmIkoFUQZkoqtbTuoh1PbtNADIKUt0Dct6HXmhaS8qs1y1xXcvs4pT6h39KXpSMJxPevnEEZUlVrVisVtR1w2IxZ7yzg4+BR59+hBIKbwyhbVh1hpXog97xrbvorA8Km/USasFqMmR2eclivujTT7+CDau1Jk2SXpOr7TDWIZKMGByBwKQcIFTvEGStwbley2wwLNnbnTAeDVnOF7RNQ2cNn3/6EcfPnjGfTpExkiaq1zgLvTh5lBKpIMsLsjRlVS2vNMC8cTx58IBHn39OVuSMxxMGgwHbdO8QInIzJvuU0B7MjNfm222R9GL177z7Lns7IySeyWCAMS3WWV6cXmDdita+AqV+XdDo36UJxfXfVkqx1WF68PQ5N48O+SdFTpSqNweRkiTNkFojdG9SYY3lfDHndDZntlrx/PSMh0+e8OzFS/7ND36I8+5qHt2Cwq/c+OKVMPnVeNmMSanU1TM3xtizlX3PQN1Wr5J92loEfvjTn13NaZGIlhqtFEmaboKrhERp2rbFWIvUmkT2qd1bfbrrrRBCQAjB+eWU2XLNzx482mhPOiQb/b6/YbOtDizD0lAmlmcxZ8c37Pqay+BpSo/dsfiXYEWCSTV7XcciFMzZYdEmaK9IiJjEg5DEmGLaCX7V0naW/cZRDR3TnQZZRtRKol8m2P2GWRZZaMHdh2BM5AlwFlMm1vN2Y9kFVOpIBzXjeA8GDnf7kuPPA+scpvcEN8QSF+GlgzdmksSDEZaXucA2ObIdI0RNzFrkUd23eUjweoAOLZbALBF0eQ9upTZHdBOc8sxHDTFWqKBIbI52vQaFTafk0bOXaH57Ivn9F47TYCFmQCQEibEZedqQ5C3twYK0ychEwvo3S/xFhV+Bno9Y2nOcryHA5CKi25SZmjBoTknFmjYGarWL0zlLUtw44FPJycUBMTkjSdccCcmi0VSdZi1uUE7WpIOG+HmgHlvkwJKvc+zQ4gYGnV2gVUQJ8HaFsJboHTqZUzpH4RznWU5W1ZSrJc3NDLJI1IYzX5KsHUkTEdkBRVIwUZrlasrx8xk/M3P+jkzY3x1RlgPmF3NeTFMulkPuxEtqDXMdEacNrR9QiZzvllNiE+haeFu0aCGICi6OIpXo3eNgBFmDHFSkTmDnAnEa2HvLoRee5iLQpArlK9LuHOKAaBxhCmIyxYpeoFg04AqPObgkebJC70ma976BJlJIz2CsuBX3mbWGD9qKbJEQpaQtBeWRQXewfqxBWDqteFKXLI5rBt6zm+/A3g62tVw8mePvSVQRSZM5Q9kRbcbF8RHq4gwtIRU3OXzXwE3PusnYO4/sNh3NySV2AAZJ+uKE8WxI0Uo6saTynrVS2GLMlASEg/FL8nNPuvbI2nP6aI4cJXz/P/wGdp0wm9W4z+AtNWQkCx6FC57NKqrW8xaC3VIxnCji0BOTiNRwtJ+z29XsBsnbu4EDbSj0muHoAZ1LWJmM09kl56sFXVXzvZMRn1dLntiWneYA8T2wb1qe7RtK4ZgIS2imMCiRgwOie0xnHOY8MuoccTEmmh0O4iP0TmT5hgLVMsiH7E5G3PDnLKTlooikD/dJsoYwWHG7HuDWJSYUmL/7ADsocfqADz7WuP2UtNC8N2v5jk75ejnh7/7DQz54cs5fff6cG+eWtkiYjgoOo8FozXwnpzvpsHue7p0G+cMFWa4Z3hhSLAoufcIsabnHAOc6XLcg75aUImNUOpYHA1gK+BgGtwSjomWkLwmZw5kIWrCIkSJNOLpxyN7TY9J54PjP7tCe/ISdseKN8QE77+1hBxkv1gJVfcDSLPizk4qbR99mP61IFj8guiGmhb2ZJjsFL1um7zzirLhDLUqCUZSLY9JYk9l91n9qWTzoyLKWpTlg5SVisWBfOPLcMU1b0vffpPjGhDQs6EzJPGra0nHT1xQeDmVKUkIiFKpuGYdAESOLIkPrfRK5yzo+IBhJMFA/P+fRX33Cjz7+MbvPgTdG6DcH/MbE0H7a0RhL/I1z7i92uTcr+WTnr1g9MNRPAst54PFnn1PpZ1j7Jt9+O+Fr92FeCFwjSWrwxzmRjJBojr+tcCZgFw59aQgjR3tDoB8l3I0tv2Mu+PbXDhkUe4SvK8g7Gt9SKcOnP/4XvPi4o/swhZ192lzQDgP5JdA26GbFLBhC0SAmK+wypzWRLjbI3RLtPH65xh/3bOxyPGE1LXGjitVtR/Jc0MScpdoh684YuI5DZ7ECgstguYe+cwplg0+XJM9TnM84HQ7Zn01JO0e1TnDTMWiJvGGYZAt07ammmqETRDyJqFkvcjrtqfVLHpwcc+P0TQ6+WSDEuCdLhMk2gNkswPYg1oT4kPX0nNlyzU8XFZ+vpjy8fMk//5N/xRuziF6UfPbo2/DeBQzXuLMlUCMSjz5SFJ+/jZqPMfkCO70gbyJ/X14w/VbHejdgPh3QZWM6GThd/znyaIzQE+SP32Ry4zMGozNG878g1h4TFMe33mec7DNgwHD5E8T3JiTv5ryfn3L+0QkXT5e80Hf4poU7TYfzESkbEu3w9ZhQrAhZhTaaZx+fsXgUuaxKutvPsQcvOfjzQ2rRUCU1/B9/8TrpVwalrLW/3grsr1lijLjru8T9u5vP2IaE+M0iUlyxSDZsky3LiohS4ooRYd1GY+gaA+Z6ua5TtO0/V4veK2bVzwcxv6iECEWaMMpTJlnG6aL+0t3WLVMi0gcKUgla64hSIFG9QMC/h2ULKGjV55BHBF5p7twasj9OMZfHnFWBD+cRS09sIPaybsA1z3Y2LLe+faToU3i0FCRKUEeP871eCWyBl6++pkCvCSUALeRGX+z1b+iN2G8IEUEgeEdTN+xPxrTWsFiv6AkYgqNJSdAJ1vWMqCzPUVIQrGVvf0CRZUzKgk8fP6VqW5SSrFrbs6+UJpW9u5uSErFhJ3XWUGQFo+GAt+/f5tMHz1hWNSpJ2Cl656blqiIpClSiGYicrutZPZ2HLE2QQtCa9mqcXPVnASZEhFSECA9enCJEz/TJ0l7s3PleFDJs6ISdcRxfLEl0wnffe5vpYsGyWvPifMYw09weJ+SpwDqPMZ4sUfjg6axn0dqrYDLWlhADQkQsAet7MdqyKDjc2WE8HLBoGrwJGGdfS9n9RUNv68/3qwzPXqA8omJE6l5DS6cpTdsSfGRQjDm6+RbzCp6dPmFnkvW7+Z3FQ59irEWvcRYiJvRiyILeje+Lgsg9fhjZKwSjXFAkgicXvbhztQHLpQAt+nk2buYNuQEqrQ0I3QffznvCYoFvKmK75icnz3rG0QZ8SbKcu/fuM59NWU8v+9xCpYj0ijjlaIRKUqIUtKsF9XKGCAFpOpQSLBeXlJlmdzRgumpeYwNdv6uua6nrBm8jk51dhOoB2XVT4Yzh6OiQsizRSULT9Smh1jkuzs+JQtFaT5plnLx8wdnJMU8+/xy8I080i7ojSxKKJMW4wLozNKZFikhTdyipsN72zpoSRKJIYj/HHB7e4P1vfYu33n6bJ48e8fDBA54+eYwN9uoGlEj68f4lIKYXgrV3/J//b/+MN958izt37/GDjx6wrtY0TYOjZxBJ8W/nefhV5VfVnfrid157HV7Nen/yw58gpOY//V/8pzy5mPPk5Ql/8Od/zrvvvE2W58zmS2bzBdP5nE8+/5y66eis3aS39qnFiZYkOuWKx/gKtesT0LfP6w0b6vrG1nXGUoyRLEn6OevKPCVegVvXga6r77LdpHI0jaOu69evwXts9OB9r9/35RV0BaQXefpanf1tbMLdfQ6JWKNknxoWhaSxJXuyJqwjroXnRzCpHXdXgZM0xeLImUIn0NagTYfZGMRsbgyXGvyo5UXiiZlHSMOtOtDWA2btPn71BOECcSC4TFPKGBg5h9gtmVvJT9Ylw3gBFnybcNOtsWvP5VNo7kscgXARWVQpUkXy0vAyPUSYiJ6vsBcpAkGavcTdbvvU+OcpSdeRekEIBfZrNSIEDp+UZNb2i2UFWbbCZx57IEFqsg4OTltOu5JWSeSe5b3hbd44GLGzv0czOWa9qimaBpdlhBLUuzNuPAskteDFWcYj7jAUmt96+oSToz2iTIhnlyQR8pCx03UYDyGz3H/nKdOXu1wsdgksSAhksYZ2wMHxilS2nGWnxM6juwQf5wxMJJOCaXYMtsO1DnEXwjzDT1O6NxpIJkg5JBEWZxq6ytDIEeZwzWXuMLOGrlToNGHnSaSLeyzEiLhqYbAAang5ZBRW7MUl8dED9M4dzu7e5PK3K9462OO/t/cmzc+e8ezjlodPl3zc3GFnUvGdd14gVuDqwOHacOw91aGmu5WhnwkGyZD07ojk7BKRe9gR/J10n5Ol4fFpDUzxhcWOPM9HOYVLuGtSnrUO1wmCn3H3Xo3vClZnb0DnGMaKA9mQniZs5SbedveoTM2D9hknvsRJw87OB/wnv3uPJy8O+X/9YMbh7jnDfc8/ei+Fh5pLE/ggafnue0eMkoi/PyXd/RoTP+adswH/5Wcf8dIvOTmyfO0j2BGC5GuSi3VHVie86/Z59lbCIrWYxQNuX5S8eTjmd/5XOzT//IT144r8xpR3ij32iwnnOy/JtSMwor75OxzfWkC94tYHc/bvv8NhWnL26DnLMKPNI9V7N/nmuOambakv75ONjqGY8cPjP2ckJFFFBt8UPFKK4DN2jm+TVDPUsuMiHvJHP14zfmT4337rH3H8fM7pJ2v+eSU4+m7CP7qT8c5DAejeHELD5UnLo2nHIyuZxIaj6Pl9vWIdFCYdkXx/SVrCrXPH/l7OZHJEUR4x9B3HjxpOFwsevznEz0u4BEnGQbrmqJgzHu6QtAr9WLC/WNCODfVux6OHd6lvGup3O8TXLOplhn6ec+dbU9L1ivzcwV9ZuqMRD++VxLsFZSzZeTnkZv6XHBV3OPjO29xZ3OLl44b4sxO6TJDVhns/8XxUD0kLxYGVlFlHFgWjqaJ0b3ExFfxg5pH6AhcSOnObR2+8ILaS8PIe7/gJt4460q9f8P/5I083s4TxmsFK4g18nAW+8dEb5DJH7MHb958x7Azmv36Ku5MxP/DMDj6hynNmOmWeOsafrRHrSPVozZHV7CV7/I/fv8fzT+Y0P5vy9CAlG09IhgVv3Bgghgrlc4rFPZZcMs0uIV0yzDy0Cv/iITtvePZHOc1nLWl1gUBiJoLjVIDT8HgX+6OOdbvi2ddvsj8YcAPFBR34C7xveWu4x2oIrYZm2a9XYxRk7YSlvsAl56RIzlYnnF6c8hf/zR8wPob/YHHAH4shby0ld6KCF0PWYspyb0n5+yk/9i1/Jk65PRuwKIYs3xSsZEDajFzm/IPvZfzWrfd4f+9N/s7xP+Bf/uTP+IMP/oJw/AI5FhQjwff+rOQkBp7FOZlvyS4C6QxWNmF51/HZu4Z/+V/8iPFbd0juHjJ9DhfKcjqq2FGHGN3LKsyfXOA3O7nHIUWOI+pGSjy/hOiJ3aunu0CwfzInKEGrEvLc4IcdZ3tTnD5i0g659fmA51ZBrNjhCfO3jpjbkvZiwfDuhE45hDvGHd9m0BqO7p/yLGsxvoN0xez2HtJG8tWKveEFzitOn5XM9veReGy+Zk3Sj1GgLQ6JRMrugj/8yc9w5YDv/66A2SWz6Qt+8PlPCDcGeK2pV5LxqaZaBf5sscaZn2DtBU1tkI86og/84/cPWO86ujbwjYOPObARIRQPv3OLvSAYGc2t8xFu55J674KHXz/Cf5iTrDx8d44lJ4rIO3cvuZQD1mFIef592moPVZf81h3B5V7FfDLk+Tfe4e4zzf5F5EUz5aCuuBGXLOIJzeI2q5dj/qX/HBv2ibfeYr+A5ckj3PoEEe8jWaFYc09cILqU0E1Y+QWxi8RS853/QcPzk0NeHt9g8E8mpMWMIpv+0nXSr82U+tsuX1znfXHZF2GTZrVhOchX4unE+GqBuzle9YrQBO+v0V0kvQvflyb1XJUrty+5BTiuPvmKq/vycpVFGCNKKdI0ZVjmJEq+ioO2DJbNwT0A0Af13guIvStbpBfxD/Hn6+rfl9IL3vepmcYFOudpXUBJRaBPaXRbPksUVwDDlWYYvUaUvPa+C69YcH29vHK424JXwNX3N3jkFTADfZ32ro7xavd+c8WbNM8+QMnSlDxNyLVk2dpee2zDzEqEZJgrFqbXZwohYo0lSEmMHmMtAoGiZ1yxATd7EEqRpylV4xHAIM9JdO/eN1tXaK1gAz5BIFH9daVpgiDiq945STixceoDIVTPrAKC2zD/gNcrpRfTJoCPEE0gVX3t9g5r1xhBmxNs6z1sbddjQIrIKBcksr+nxvTMHx96jmPrPJ3zm3rctGPowYCeQeOo2w6JIE8KpOrHddgEgFuG3JbpdVW+cC+bQ/p/48+/eX3MbbL9ejbaq4HaOyhZQ9d21HXLzZu3uJgtEI+fbpiafZqi3jA9JBFHz3DzMSLDRhh6e32vlb42OxeQBloTqU3A+LhhXL0S3fZhM0uJXlcqQm/l7frOG3scDO8jXWfonIEY8UiElCjVuwC2tgcK0q5Dp0nfHp1hrDVZnuG8w8Y+RaYXE+9ZcfP5gtZ0v9RdtG/LQNO2PeAjJSFEzAYY3WpmxQh1XfVpgt5jjEFsUq60EDRtS1XXvaC7COQyInLJwVAyzOBs5TcuIpvf9L4HU7bjM2zE8Df9s25aLs4v0GlKVVc90+UaSi15tVEhthW66STb18F7Hj15wrpuOD4/59OHT7C2T99TSqE3rJ6rGvqSiflXBYyuH/ergh5fdu6vSvf75efswS0XIrN1zV98+CkfP3zCs5fH/OjjzzhfrknTlGpdsaoqqqrm9OysF+oPoWfA8Wpe3bKdrl/HVzkUvvbetTniunGKlPKKnb11AxS8DlJdPdGvAUiv/c72P18UmPuS0m96CIT8+Z2Nv6mIfeNKfLRoaZGHAlflVDZFaoMMEqzEtoLWexoZaH0GODQdQWiC9Jg0UGqHi5LOK2K6IqEjawMrIHGOwarBC4kygUmscS3YRNGJlDQUSNE7EWWTPUwjMOsVnUqIqcdmHtcpjIhUicO3Ban07MmWrvU4HfEDCHUk6SKFDTSpQxDJgiO2/TN1qAOui8gYENEg25492slAEBLHtq8EBH1QooxAGEGHxCcOZO/AtL8z4MbukGEpORKStRAsdiKhK4leEuMUGUEGiXQCn9VYIajXjkHSYpVn1QrEuNfrc/Wo1xUVAakNkRYlAm4S0NaivaClQLkGLR1BZ8QCvAqY2pJgSKJjFDqC6IV5R7WisRrrE2TbIUxACEPAE7pADIIkB6/BKkEMA9LOkTuPUwKbWVxWIRJDGhzJOrBOKpx3dFEy3FXkWS+Q3M3ApoJQCvJshB/AYuxos4b1KJCWKQGHsBERIk4plHXky4qLNsfqnAkJcxfQIpBpQT1tsfXmOUMgsYKxy3AmInxvsZ6ZfmVWDSLLSqMNZL7CMsZKx0IpgpeoBNIywnyNsC3ZGvZ2d9nXJeN1xux8hpk23LUO3TgKG7mVaz51ULegjWT9JBBVRFeSZQaVDAjhaIwHA+kyYRlqBgPF/q0B0w9BhZTbb+0h34Zz3zK7KNnbg8HQ8fBTQzNvEU2LXrQMsjFKKp7WntREfHQ0akm2Y1BloL2pKIoOEQUVEicEMkb2G4g+sAyOZTFnYloy66gagx9MEDJhVbesIv1GqdEIB0X0tDcaQmPQjUBrQ6cb6rTmsMjJ8hQXBZWLXIqWlbCM1nC8VFysBUG2mMTTaFDOIAcKMVBkx2vO9+DjiefrZzdRekJMJzQvxoRFjfZz5MIx6gYMdcl0tCKjJW0CZQDXRhojSJqUqCJRVXAQyQtPaTzKRaLt5RZC24FJSHyJwuBVTkiBpKUwKYe1RC6WdKuKWWspjo7IxlMwivEbJbF2NKctR2lEaIkMKa0XdDHQKUs6qujWgtHaM/WamAiKnTWNtHhSQLMoG3ToCI8N3SIjbQIH0aNlghSKzCrO044YIvfXBcQhTVfTrCrWq37TIrYd5VsanaectSnJ8RxZG+axIzaOYSM5jIGTaUsbHW8cWrKYI21kPVsy2b2PTiZ0a0Ema8ZJh046vLAY0zF72bAynro1xHaMVx1COMJ6SDlRKClY5x3ztOVMt0x8ZB4MGYKBt1QWuqBIBcSQEB2s3IJRjKQhMm4iho5WRHYYs7IpS5MiF5K8kJSZ4juJ5f5uzv5Qc7pcobsGjGNaaWxc4eWa9bSlm+Q4Eqxak4qAkI7Zy8iFmHIeRzR0JM6y2/QeqSMvSZ1iZHIuJUTpKaiROhIygTGKrvFU55bf/8sP2Hk2Zbx/xNnPHuFVRSha0n2JShw2duAcaEHIJbJuSL0kt3qj+dw70IkoQCpEUhCGK0JQ+G4AQOgsbtGgXEf0jjYI8hjwqqVLLXQduIgTAqo+oIhOsesh6RTVRUloeqqCwhJECj6QbPSKnQIxjmjTgReYMECpBk2k9ArnLVEG0jSQJxCc4enT57w8e8zxxVP+8rNPMcd7SJ0xjJq49Kwaz8frjgMR0W7AeprhrSNKjwzgVmMwkXRyiTvbQdmM296R5RMSXbDSJWavweYNO0VDuGmQw/57pjC9C+rqkLCXIvLAaD9FuAYah8/HiDxH55F0MMAUliqzCDHCli2t7kgvd7B4lF2SnwwYhiFSlKzKOdKI3pEwVpi8wxWeRjmElEQhCGtFW0jEWCKHmmRXkzlNm6RYMcaE5Jeuk/7dg1LX/r5GUvq5o7YLS6kUSZqQJFmvM9G2RNEziZSQpGnSAwPxmjLylv4UXwXEX1y4yg1LRYhtwLtZJG8Bj2sC6q9Qp68uPQDSs1GSJGE8LMkSjZbXF+q9tlEM8Qqo6No+1UnJHozqQbi/2WIYfvWA52+rXNcKk7IXyNVS0BrHdBUxznOgFIGAEL4PxmNfZ1ug6dUV94HTVkcsxF7sG9+7c2zdlF4LMrkKjfrvbPqQ2gQ2IW5E1K8iFv9a6l4IfepIDIEizxkVGaUSnMyXNMZugJ6esTXMJdN1jTH9OZq66UE4JenMGiEkM6kwtu+nIXi0TkkSxbDIqJoGgWBUlozKvE/Hs4504wz35PlLUi3JU0lnPFonIPp7Mk27EV4WKKnRiaYoB6xXa4xxiA0wgKBPyRG9g5Qz7ur9KCVa9vXn3dbmfjMCtkOHHvBVUnCxXOJdh5aR26OERRupOk9lNqATYDxU1tPY0KeAbd01e4wYKQVdZ4g+Yozl1kGJj7F3Y/OOGF458H1J5/o5mPgKdxCvgKnN7W0wLPF62p/YAmChdzzwHtd1VKs15xdT7t+/z/lsitZb3mUEIfs0zRiIwRIBF8FGIAYU0PObNr9+FS339blsPcs20ppA6zx+y+zbzD0x9kLqEBHxFePKx4AOm2BZSVCKICRt51Gx1+FpXehZllLSmo7KOIiQWMtAa0IMrKo1t5QkTxOauiNLE5wQhBBplnNsa7jsWtYu9Iv/qyD854H87fher9e42F91mqRY00GMdMaRaIcUjrPTUxy9852pDW3bkSYJWZ5Rd4bWGmIIJMpRysj+SHNrRzIsYFUbKglSSKTs6znGgKLXc/Mx9u8TQUQuZ1NWVcWDh5+zs7NDvV5vmLObFEnRu3yGLwKdV+h1IDjL06dPef7iOUIoZsuGNNEMipSjvV1SrV/1y18wr/662lFfdY4vAk7yC+yhv87M/pqmkhDkxYB1Z/nnf/An/PjDDzm7uORyNuWTR497V9S4AdWF6AXGtSRRva4YG128LUB1/d5+kfnJF//+srJ1Otye6+dSw7/49zVG6Cv3V3qAAyDKr95b2qwNxMYROBB+7rr/JuWSHTKW5BjYc71uUTXAJi2p1aQ2g0tJk3S4pKVtc7JQo2JHUAqjwSq4pS2N03RBQjElN5G9haAeR4rWst94zrOcIhhuiArbwSrPuNBDxn5AkDXVsKU8vINaeKpzh08zfNFiR4a4zglJhxkZxMXLFUwXAAEAAElEQVQ+Zep4c9/wxBnWQmCUIpsaCuPZk5blgenZUXPws5wshf2xZeoBExBdhb4UGAmL1MB1F8MYIUBoIulKgJMsSfF5hwTSJuPG/ZJbByXDgeMdL4lo/uSmRb+YgFXE6hLnZO/WKyAZniFE4HwhGF3MSaPi0o+QI0PIYHmxTyd6t7jKXzIICwoJ9iglPXUkrWYtSoJYAgprd6CMhEGkuQxIFmTU7FjDuYYqldx+lnEZM7zQJNMEMAjMxgMpIqSkzAOtiHRWIsw+w2rOJCw5yTR2Z43fmUOE8iwynEXqoymNSYguZfK1IYOxZKdpaD+VzKaWclFxd2cCNwXtwOEXl0wZMJU7xGFLVnnyGOjSnKxyFPOWJ9xmTyT4SvDCOcoQ2JWS6ZMZTdTELEWEyCgmHPqEdbtg4T0XaeStTtKISL0L05PbTHzHLXFGLQ5oVOAk0RAFeRYZ7kfa5TGuDQzayP03DrmRjihOJX/6o0+xVcVvak1bB8pG8UZI+IOV43QBCZpnL1rSACOhOQ0GO6pRGGL0ZJ1i57jgZDKj20147849Pv2xBpFz63s3OLq/5sVU8cmf3ODWN88oYsPv/1+XDPIKqWqSi5b0DfBK8OFTD+uA8i15fs79dECxI5i9l7GaT7ErxUlSkpJQKs/tqaVqI+fS8fL2M948EeysoVGRcLgH6ZDzkzVtF/HesZaag+gZ5C2Lr1n0M0WoUs7dGcfFBbPDit+9dZOnOueyGxDwfKQuOGbNW8ucZ13KeVQUWUVVCqpE8P6ZI+x73AEM/zLy8BuGD1PLm+ffIpe7eIbMfjomzF4wjJfkL2vuFre5Pxjx09svGVxo0rOMQnkuTODMSw7kELmqGdRrbvy9iq6VtFNFXheYdUctKhaXLaEbo9o75LsL3EiTjHpL+4HX3I47uKXl8rJBna/Q794mfTZFiIzDN/dYTGteXtR8e+BppOBlyJlaSRMtLnOEgwWHCt6pJVN7hCwtuzdP6JqIt/1G7OOdc14sDYv/n0NyQIniTaGpsgEiyRjVKZ/tnTKsFb/94oiXbsQ6KtZxiT2vyS8kd6zm6DDgcsUTN+LG58+RfsXlW5HpPGGwShAv4aOqIYwc39h1jFNH5yyPnz1imP190mKPpc8Y6SeM044idbwMHV1Vcfp4xQmRy1YiFke4vWNQBs72mGQJeenodp9wvl+id1ru2455aNAh8F0TWQKVTPDeINqcgGRaX1AEGHpBvsx4HC3zKNCxZGEnrL3jRnuL7G5Nudvx338yZ/cgQY8EzbPnLF84FtPI8yDZEy07GOoleDTKpQiWqAGIVPDpH2bwBlRvLrE3Le1syp1ZQoKjNJp0nZGlJUKneCUYrqeYgafaETSVoptK2oXjnz39c3bDHjfdAU/kCTeC5S0ZGf+v7xGzjnWYARDSBDdKGc6WlJ2mXJR0Ju2zNDbPdaEShBzS3bzEr3PMi50+tjENcRFJigonI2cJHIaONg2cTiBfrBFhQ+44NsgoiLHgVm7pOsGDpyMiGqUMmVvSdhqEh0SwNgl+IJA3I8XDFb7JsNxFylOS6Nh3KdascYklGxpu7Q8ZaMmPfvwz/uD4Qx5PX/DZ00esW0OpBvzmfsJzPWdNh/GBG9k9RmHAchmZDR/RZjNis6J8voO2CepbSy7sbZIq41vzD1nfOqQqRjzOBeZoTFJq3nFnxLuOUGmaP3mD7t4xTWGZfvQO3TcXxFs1k12HX5xhlOcy+QY+y5CZZiwlrVqy1A06fZP17RVioLmzuolTx8S44ODJPSZ+gETzL8oGkxcM9T7L+ClNCWZfcL4EkVmEcmQuo9vVNEeSTgxRh4JiB5YvAl0zwoSDX7pO+m8NlLoW/32hvB5Oyg3Y8Nri8os7ntdAoCTLGO3vk2pFs65o6/o6RwZjXjnbObcFGsSrCPW1q9ueXlz9zKvL22hUyZ8//pfe+9VlCy6WK9quxVuD9X1aU2xdr9kjoDXhitAlJb1+jBB01vXOcOHK0f7f2+J9bx/fWkkgsFgbLhdrjlXPrvBBoGUvohtiwMVtYHHtJPGaMlC8FguKPvWvx5Z6ran+IFCiFwPXSlC7Df9q874UvWaRd44vdrPIhkFE34bn8wWLlUSJyLyq8aFnsWVKYGzk6aWnMr0t+VUf2lxskaaEEKmadtOfBUL0bKi2C5xbg6dnOT07P2dU5CRaMypzjHV01rJqWt6+ecDOoCDPCh4en7CoamzogdcetOxZXUJIJpMJ3hpi8Bh7zbq+//VNgC+ZjHqgtGtNLzIeInmaYr1/5TC2AUbiJmALMTJdroCAiJGq6QEtKQRaRbxQhCgxMW60vgKvgpB+F3ZbxCZ1snWel5cXnMx6a9e6qV6l6gRx5dx3Pdjc6ryEDeBAeBWcbzVt4rW+8ArIEpt6CoiebIk0HiUtnfNUbcuzk2N2JwPOzk6JQrGoW7SSpKkG0d9Xb5jYa5lJQNGDHVr2AFzvGvo622ht+j4cgkQrQZ5AqgQu9sxMv3GW9CFi3RY/jFjj2ZlMyNKMNElp6zWd6yAGfOjTgROt+7HkLJWxRBGJApbriuWq7m3Xg+fTjz8gUQopBflwREAyXyxRAsoy587b7+BPz2lmy56RJNWrcXgtKJdKIbXCR89yvqDrWtIsI88LsiwlxnjVjlqnaNnPA7WrkELgtSLPc/YOjpAqYT2/QDYzpK2xLlK1HVrAd29JPj2PPAuRLsIk14zSfjfQ+Z6xN84FLxaBs5WnTMH6ltWyZb1avlb/IfZzjFK9O+bVHsO1Y7ZMNBHAOI+LDrXRTdNK463tRfrFq6zqvyGB5tcuYruxgujH199wv0EKePc7v8ntu/dIRxNu3r5DkhcIJZGxZ6fZzqB6KuaGwfkq9U9IhYgRIV4ZhXzhil+ro62W1VbH6YvHh69g6f06ANF1sGs7X1yHWH8eZr260p6Re21BTPzFwNmvXMqSaFO83SF9mDIJSzJxwll3myZCReAN6dDBE2zH41sd3TrBzMfstRVCDHDikCo9pdGWOrHkNqdzBS8oCdkJrRach4SsU3SDyMObEF/uETY8Y3Ef8hvvkL//Hsm8hBcPCGePWJoBvsqIS0MWXmBkhFXkVmsQXeRTm7AuPcEP4PktjIsE3WASh9wMs0pAk3TUg0h1JNmb3SE6OMtm3MTgs8jpDRDsEFtBPK3Yt71Y7Iv1BFJHSB1mYlAX+0grIVnz008+5vRYc78eE+Y32e32Gb38iPLGFGTC8tk+5yEj5J7w9iVv5pD4lAd2hGBJ9AK5PuDOiSWj5ji/IKV/xrefDCl8Q5Y6VrljmQ+IJsW350wzRyEVb5o586mjWXpMBnUZ8YmGVqIqSFeRTLToyYBYlrTekbQGbXuQ1u96fOnpXu6ghCATK+CSOglYMo6Kjlm3y/xsQpx3VKLGpg3pCoYHgdGkw31qmH2r4/ntknl2yXQaebCQyL09ZkvD+dRgOUJFg44zuvaQblRh317iz4eIvCVNV+SrOXYUOd3zLD+7SRMSmk6x3KuIQ4vY6bj7gcFWnicu8K2RJB8J6tuR558PECZSRMsNLhjqkqF+k2Ae0Q0s5o7Hf1bSrj2rrOWNEcRc07WafyZ+xp4Q3EskTzPLus34uNN8u2ixU8fiXwfm1U08ljI9pr5rqIOkuUj4HU7Rc3j+0POoTelCghDw9alCNobPq0eYvSNWoeP/9Id/wN89uMtekfM/+R74J29xOQ98Fs74j353xO03D/m7k0Me/bPPOP5sBeYAYgK5R9w3PLGGcTfkn/yD3+LJ//sTTk+mMF5Do+lsziezfb5z75zbA8OLZeDeeze5n09YPx9zkT1n5c+40d3nLFiM7Hh3/JiphUtVEpoRd7uGo3XkB3+c8vzWiNUwJfvDyJ5csKsNl6OOw0pzww7YfTMwV2tOtacd7BGpELHlaZpi8DgX+dTvEJ4X6Cbjz9/9CemjP4cftZwct4yCoxBQqXf5+Ibl8e0T7nx6m+G4Ift2zXrUceZGPDZDntpTRkvLaBGY/zRjbAM71vCJntENHfbQok9SdrKI2Fvz4+45eRXYeaE5PH2DrO24tE/5r795xM3PW75++jFq/Bs8faCRoebhH79kOQycvCE4Gib4GXRPG97dKZmHhifPlxSnnrFX7EtFIgu6VWT9iWccBUrUpOlL5I8E8xD4aOj4rfaMg+GAvXtv8XBPcC4aPmlPeNdqghP8qbrg0PdroVWSc+83JgyP9slvvs/lx5/CRcduMeMPzwyNAd0UDAZrtF7xZA67RYIK8IOfrClWj6kj/HRk+OSj/4IDhtweHrHznQF1afh/PPqQwcOU/XzEW//L99hfeOzLivz0Y7plSZAlHL1kuk6Ra0E3gBtG816T82a3i2k6rGt4ps8x6RFRpUTxGNUNSPyAHe6xEoqlhJAuEUGwZzxJ1rFXBrJ9Sf7tIdP1jPX5JY9NIPgZh2LN33s754NBgjwQPCrmHOzu8dZowveUxts5zq+Q45I//TjywYPAPywDx6en/OuzS8y9jsHKUuxHTi7vonxNRsW97x6jzJivr0a4y5QmGmY40nfm6BBRTvDb5wnOrrGh4fa7JfutYrh28OICpv0zXjcNZdtSzAV5FKzLwPP9CnWcMlSBSel4NoFYLckuOpqTnGhTwJCmC8rQMbIdqzbQFdBMBC/LEWXjuX9eMUugUx6jDdF3iAzEjuCzk4SJCnzv1pIHywRBYC/reHHLoW3k1rngjEjmPPtVx1QrTBbJOEYIR9QBO5xxsIKuFVzGnJ07v8fuG+9h05TfGN/mPiVvNyWPizFxLbj3o5rcnWKTFYNDwdnBZxzHAbJ5hzjaJY0Zw58O0HqGV4LzT98mrAJptubirV2G+oxDe8LtmPBJKJn6lCfxPnf8jDx6jvdLjs5ugmv56HBGXlgyEVjbimwkGTrFzrMp63sSN1Z0f7LiTjTspJbqWxe0pwO6810e3alohy2WFgEM370kP3S8/5d3kEcniL01g48UqwvPehqps7yPDzc4y71mwa1ZpLj8Fq5MsDowXT1lOJOMV78ccvpbB6W2AAtsFvhfcBT/4s5pT5fvFwjXj/k5/YvNCQVsWB39uyH0qE0fbG/Bqw1Etd383oIObHdvuRLNDmH7+UZUOV4debWK/SIx6pfubm+v92ox3C/KE6VIlIIYyXQk17Cfw6KDzvNKE0sKVJCE4PvgtkfG+PJl9Bd++1fYnf+3X14BkEUikUicDExy0VMkfWSUSzoXqK1g2fbfEgiUohePjq/Ec6+6k3hVI9sQ4nqGRtjwGfy1uC1sgKlX39kKU29OeQ0g3QJdPni8BC0EiewBFh977TOxAT+k6FltSm4ArUjvnrdNM3qFoiE2YEYMgbBNQ4w9I8Z6j5QCHSXWOZz3fbqq1kidIJWiLHJcCHTLiq2jXp/e2TtIrtfrPsXwS5ph09U3AvEB6XuGjXE9A0UnCS5GovdItgxCgdK6d8eKsQdzNtbqjQ0kutf2KlJFoiQhCipjewH3eK29Xiu9npaQfdqZj+A2KWfW9W53kf53tu0qt/UntmPsS8SH46v3t/d6vS23b4mrhgchAk704JB1jqZpmC8K6mq9uYf+/z7EHkAMkbgBuSSREF8ZJyjZi5p/yWVdgWNyc5zcsNe8D70bX3w14WxT0rYX3zP3HCL0bDWpJTEKTNufWIveIS0KiRCe8WSMkIK6bmjbDudDryVmHE66Xuet664AhXI0ZjwZM9jZRc9WSLn++Ra7Ni8rpUmShLIoCM6TpSlJlrLV4FtWK7TSV+xGtkAzG1BR9O3egxOuB1B97woV8VAJWicYpoLWbpou9HPmOAel+vZwvqdZS9EDfInswaK4YVFdMWbEq/6vpepH4ZZ59Vo7bXQbshzhHcE5JpMJO+MJO5MJi/NjiBs9Q76apfQ3mX9/UfpdjNtnmOh174K8St39dX77+vNXSEkg0hnDbD6n6zoIgTRJ+nlgkzK/nahCDAS/fcb2ldpfk9x2ceKGqbwFwje/+hp76vq/P6cx9RX3sP3+r1u/2/ni6iHypV+/NlNdu554zdzlb1K0aIgIDBBFjZQGQewdO4VHaIuRHhUEecyg6VOwNI4uZAghKEVHzCIhTSHNEV5QWEFuDeemQHqNjhlmYHBpJFhFlAHlPHruqCjYG1rurNZUo46qqFlajY2BGDzSRpYTR5tJdJ7R2Y7owHiBEJokaHKbUOULSBuSLKBWEILAKcU4L/EpVC7SCY8WgSI46qDwJkLTj+9owSpH50Gi2QkpwRu8Cz0Y5fuVUzLon4GmiMS9DNVk6FaQWriJZTAA/03Ns5OOuYWqLkk3Wla200ipkTKgx2u6hcbZHFt2DKxCB4EyHidzCILhvMUmGjfWhE6g0g6dOGSoyVxCjJpqUOESCErAEGITkTYShoGYt5BEIh1RBBCRbOTJhCI2mio0iCAgFgQUKmshsXRBopxjGGqaEMiFJxeRuU8Q0aKTiKk9fpWg1gOOBtOetagCWdoxLBy7k0A66N0w153jxdMG1ViyFLqJgehoIsgdi0j71NtQCGzuadIO5zq0C+RrQTLumexNhC6mKAs7deTCQSID4zTghgmdFGSqoXIGoxxJHSmCRSYBrSNtq/FeoIMnSRxKlLA6ID+Y02mLeWm5BCqvkW2CziVjNEM3wjZgiXgZcInCR8mqSciiIyrLqgC6AtE5mkVDGHYQItXKMs8VSVSUyrAOkpVyuIMaubtHPhyxJzSr8YB24ilOO7zq24pGYmxCYzWLTyvm1rPOBLHV4Ps5p3WORUjwIWPUGFoUK50ykQVVG7HWoLNA1zVUomU9zGkTRVAJA3+E44xK1uwlgUHjMNbyIpYo06JCQN0ZsDOX5BWct2uU8Yy8pwotMgSkVzQ+RURHIgPDNxIymZDJlOo8Z2EqbD3FEqiioIuKkhpXd7jLjnmVEqQiqIzGG1bWgF3T5pbMRZyRtF4gQu/+vFIGoTyagA+CxhnmZkVnArHzyNaT+AU+SqoIs6mhXimMUoS9jNXFKW0M2C5gZILSA6xzCOdJJpLWalqrCQwoukCJIk1S9oSijpsFvosgNK3OYaUheoJtaQIsZSCUgWmwrIzHLQaoriPWgsYXaECmIPcykkGg0Jb9xrIaFqBThk2BDQEXLAedIruRoUKGvPDcfvMWYgDP4jGrKaxtpD4ccn4BsWvYN8ecdxNaFRldaI5uHHF4dMB4/w1cPCGfrSl9R+ETQhB0nQUn8Uhkp5iYXfb8PkkOtWjpXItISlT0RFrmTpKEJYoOLVvaOMBFjVAJqRBoAk5ZvNX4riAox0UXOVsqDhb964Vt2cvHWB/JMk/aOo6U4WsDw+7Kcx4NK2k5iJIdF7lhoUzBecPSdXABwkL0kiTWWOVpkoSdMAQJJl3zXAMuZ1gp2v2OygkuWsnbt4f4RUM7b9gb32fvqGBfS56qT3BB4P2QIQ6Coo0phRBEG7BLT2YiUkWiDJRjjYka61KGvkWGFoFHB4siYnU/bp0MxNzh2pyug1ZorIMQHUp6Ku2RCnYQ1NIAKbk55EBaOmmoMgu2JXawspIwFIjE09WeLo9YJaDKYGCxwtF2jpAKTEywvqQVHZVcgu/QyxXl0rAfSy7WKcZ63N0W5YdEmWCGBlNrnM1QRUte1AjVwoHC2yEORcwSBmpNlhlarUgWGbIODKJndBmwCtZlyiob0RHoHAiTQAzo3SXDJpD7iDkoSRToQhBuCNpC0ShFeuDIgkdLx3R9SfQakoyyVAg/RDpJfbBmVXa0ynP3ZkUjA9Uyoc3GdKYheIvwgpiBTyLYQHQCUSUkSIrlGtdWxIEmXVSMqvqXr5P+Rqusa+U620RuAnjnwW/0QLYL0CtWxyYAk5tUIeKXudu8Wj2KTZoJwSNdR5BJ77wUAkr2jmVKig0QsKX7b9ag1/N22ABS2/Xnhp0Agtc3nTf8K9F//uvuhm+vPNOaMksYFhk+RDrb/0ipI7sl3BvDpxeCyzqythvmhZAo3Ysac+0+fpXy7xqMuh5QvUqhiD3QohXjXOPTPpy/txNpTKDuAnd2BMtWcr6Gpgu9oLQUlErgROx3ZjfgT68z9GU//oqbIhA4etDRxXjFHIGIj9cCJQFx0/bXTkN/ZA/eCNGLqpdpineBxjoq24ulSl4JrgtAyd5B0PseALPKbxHKq/NfB0tf72992B4jOOfojMWFQJZqolCYKAjOszsZk6UJi2XV93khsD5AFDhjOTs9I9GKq3RGATGKTVpiJMj+vbo1tNIxKYuN2HsvkC6cA+979o/SvS5akbOuKqy1pEkv6u6ix3lDjIKIYpJotJQQYNm2Gy2p13gowCtdnyRJNwCMQEi1AfM83vdgXbjqy9f79Gsh7uvt/9fs+lvAO3YdVVUhFwuU7sf/FlQOAaz1G5H2V7pE29S+PjWyB5vw11J9ty0f44YV2s89Wqlek8n4nlEGRKGuXA+16r+8nQ+cMxurYEuWpAjR67HVTdsDm0Ii06wHST3cunUbpTUvXrygM47oA0L24owBNoCORwlBWWQc3rjJzt4+w919khcnr8AktnPl60CC1posK5hMdijLwSYlNWG5XFLVFRezKXmWk+mEVCR9a4WIlD3jSOverbLrWqr1kq5r6DqHNT1Yuujkpi56vS+xATQyFRilkcZ5WhtZdGBDn+pYJJAIMFfts2nfTVtsAZMiSXrQNkAT7fWb7J9LEcphiTEW0XbcvX2HO7fvcPPWLf74X58B/eYB4vXe/bdVfrGIeexNPmQPShEVzoHbamf92kUglGK5WoLoN0LapumDKyFwG9AqK0skov+8qnsWXdhsCm3nt62zHq/qcQvav5rzro0f8SoV0Xv/awFTX/X3l6X4Xb3egGfbDYwve4hE4mvXEUK4AqX+piWNM0xMMSR0xTld0CQ2pbMNWlt02jGNsO9TBn6MmHaksSGnYSkOKWmZiClhDCIfoLIDYMmOb7lvK+aPd9E+p5QFpzcvwATSeQKqRXeOfGW4ZMx+O+XrvubBfzBgkTe8qMZk+QotHImA6QFQaNKkZMYS2UBWpSQuIfeaCZ52fIkuOsaFxC4CximsUtwc7mISwWrdsZZrBtJywzge+gHGC4pzBxiccHS6Y5EUlCHhJinz1tM6DzGj9RGRevKJJdWS7Chl8M09bExQxqKF4A3nuTOAg98N/NEftTx8qlif3kL5S5LgenH4NEEXHeLOCdNmH2cz0MccmYShk6TCMOMW3hXcfnFG84ai3VG4ywFlWTHIDd4asu4A5XPmkwVxI2gphgJPxIiIGQk8S67olyQIpSmPPPnFADUreMEU7wcEN8KSkw3PSYYrZpcFI1Nz4Jac5TkT5xjZwLnPCc4joqCzIBYDhmdHfH1yRiwdooRDY+gmERPg7q2K57Xnk5ln/eKSrBKMO8Hy2yuWXWS5gvGBQ7cRuYwwsriyww+WxCaSrhKGZzl8DZwLmHVgypiiEdxYBSrXUpSOoz3P471dOmkR8ZypBKaC8nFgHFuyRJCWkqczTewCeddxp0jYETvsXnyH/Td/jBpNESc1pxTEkCF9yd4kUHrF6PyI1YUnyg6yBZdZgRUZLyi4LZ4RUsPLA8/FySHKRtLaI+pefhhSFqEkWsXwsmYmFizGFrXbEPIx2AnF2SVfO9qnjBmfnX5Ik+R4qRCXCSpMcEHz8MlTTu50VDspPBxC1oIMxLjmRZdQCsVhveaiEbRa8A+sYLgURAt6uMaFGSo6nk/uI/YFSZay9/I+K1FRZRXfPrRwXiOrhs/2DygrRaYV5bdvcGvaMTxv+PEHBrEOHBqo0yXapyib0nQ5mbMUieet35TsrhTFPOXxwzeYD2uq4pRhCos20LnArjzGXkTac3hBQdWlNNMBZ1mDsA2ZW9Ddk8S1Rqw15FBJwVppurJhLCO7neAiRuq2pW47NAqjoC4deX6MU9CpSHz5lKlPeO4zmoNz0qqmJNJpTdYNGL3Yxaun6F1LeVfw8MMB6y7HixFDERhIRULCXRQrJVgkkjZEmpCycHu822p0sBR1xVxY1gSiXnFSNfhVjn5xA9M9wQUBcb9nJRaR7HaOSE/JK8+dF8/58TfGhJhy47OMVAW0bHkzesLeLbTKmSw8b3z/O5g9wcWyY/7Y0TpIDxKqlwm6sxhe8jJURDLerw548z/8Bntfu81BdpdGT8lEy8hYClFDFFzOoc3AKUFWpex1t9kP94hjw9ItqWPHTX0Pu5rhu4bTLiNVZ2TScKAzcBDFgEQrtCh7I6PkjGY2pJ5LbFfzaC14OC9453zMaXVJetFyMx2SjBvSvKM49tybrHl/12KeCo4Ly4PS8RudYthG3okRPDgcRnoGFyUuQgXsx3MWuqTJR7y1fJM2OeZCPWeRKMpuwM1uzMOdS6YrwWKa8N2/cxfx/BJbnfGb4++w/7UbjN8c8/SDlzghCX5CKWoqMi6ZMCYSKkNct6SsESLSNJHdYcK6LbmwE+7ylBSLkILgMioluUxTGleCtsh8RTwp6HzKeQqhXqNCRyYDi6xhICN3WsGJblFugF+8w938kstkyU8zSz6tsK3gpdGUw4RA4GIaMTc7gkthvgflmhgcq4vI+kjgpYLFiIvuGVlTE9WYvZcNeglFWpKeRkxuWf7OHM8hximmzYL4wwFyLfC3F+wMpsi8Y747Jry4QTAp6saCg64iFx1zN0Y8H+OXksH+nMlziTCwvCO5PNpFIDCVYWklMZNMDlccPhJkTcKjvSNKmSBzaL++Zpn0uoxH3/LoxmMqy8ePZ0wGQ3bGI75WpNSrI6rOYt54QBUCoRG8+fVT6qeS82cli/IQreZouwLAlxE/CoSVoV5p1qshB6mgOLkkPn8J//B90tmUsX32S9dJf6tMqchmx1oKSq2p8T16d30DknDFjopR9CkVr609X4maKtkHG3Ij4OusxTtHtVzRtBYJ7A5zWm8JIeBDLyj52unE9squXcOW1vCFRWm8TrO5lnoTroCrX79smRZKCrI0Jd2IT59XkdZFdnPB3RHsZYKfngu88Xjrez2LTZpYkgic27K6/t2CTr9qua4phZAENmlK0SOiRUbHtIIigYMhjDPLvJbMm57CpjbBqJKCg1KxV0ouKsGidcwbi9Rqy4f7igvYSAVtGQFbCGEbn2yoK+LqhfzS08TQB4GR3h3PEwnX+sbW9XGrFWYjV8LeAkHbbvSnXt+Ef3WRbH570x2rtqXa1tsGPOu849nxeQ8OJbIXkg4BpQXjXLM3TPnem3tMlzV1Z2mM42RpWTSBdpMytgUWYgx41+/OJ6qnWC3WK8LmuqeLxZXQby+o7RDRo5zqg2A081V1dUNC9m6JMfT9WdJbwiPEhr0TyTONsaEXtA/+iubZ2Q6tE7TSKBFx0eFcn7b6qsXiNRjqi038i7gqX3L8NRbh9b/lNXrndq5Jsz7F0hrTi6DHgA8bJkiMICNqw/5RQpBmmmSrnRY2rLerPsKrYHvDxPPeXYFuIfZzXZH2Wlw+9npnmer1wDrXiwGrDRvI265nlm206FwIrFc11jgSnZAXBWfzJSFG1k2H3YAYk0JhXZ9+aGwA69CxT/1bL2YE2yHMiuXFWa/FJORXgvFCSaTunblenp6wmM+wxuJiAAlFWSKlIkbBqlqQJClSKqRSeAKd65gvZiyXM+p6RaYkdoMqJ0K9Ar9kZFSm5JlmvbbUneVh66gNtL4fb973LJ4YoLY9cp1qQWtf7xtK9mN4mKZU0dAYs2n3eO0YidYSa3rqcpkldF3Ly5OXXM4u0UQSqdhKD/7bno5jhOgjQUSIglGW0klH21lQv8jG4xecM0SePPicJM0QSvb9O3KV4qi0ZjjuA/wQe3Hz3nHP44Pv+wkCorhiqm7Bp+08ETZunl/UR9zqRYWNcHrcIIjbFNyvEkn/+Xr58rvegsfQj/G4Qc2+qo62VxzC9Vn+b68kiUFrCya/2oYohcRPcsx+QXiomA0qwu4l/3Ryh5fnQx68bLmVzLBSsJI5hWjJV0vyk4pKJJxmA86KA/biC9rcczoS6FlCYTzDzjDLMpzWVEoxac9oFvAnteL5k/sMlOfvH1o+qiN1Ac1NQTJLCcuUtkwYnoE0DoKjfkvhrSV9uUKOHTZoLl9oDpyBLKc7uMnLbE4wEU4zOt1hk4S1uYMR9YYj1qe0qagobUnZGgSO4yzgi8PNM32GuOvRIjI8TRne2mGsBtw0EXfXEIRl9ZOcP1wLbj1X/I/+NOfvGckbO47H6QsenZVoW5DnK6IdEHyO2rlAijl6GSmfR4iOFuiIuPyUkGsYDmjyiiYsyfIVde2xJmN/17Bcr6k7Q5wekPgWSUfbtiQmIUXRlAZ7msMiIc8MLnc0mSV8ehc9jMg9R5yBSGqkMmCOEPOIXEvanRFed7Sm46DssFXgvIN7smR1NuLpAt7+fsXeYWA8nnH62QFN1WFdR7lsyQYwGSnSJmOxaHl04bgnNWsRmLnA1z9PubuvuH9LMb0R+eyJ5SdnFvWdOUJH8II7U2i7gvO4z/rpGdZLgsl4/tYI3XUkywWrJmHVlMzmGTefXJCKgBIpSRqxIdIBx/cM5BGRRMy4I4qCyhzx9sUl2X7F4JuPOAkSM8q5/Q1JeJlTd4KzfEU+dmgTqM6h2Q10SLJW0fzVlCzA+0gC+9QW8ss5ZvcY7xLaiz3uiEs0HfMQMGcfcqEVDzaxRSCSTlN+9OBHPNKCNweCT1KPM4H3k4Tb93bYvz3g/m8X1A9y3BrEZM1nF5aTy5aH8oyF0HRCUhQVkwNJMhJcJmPa5xFRL1jZpxxMAnKs+Gk4wZIjfc4b66ecLQoqOeDk9i77N1pyb/m//8kCt2tQu/D+1JNnii5NOfhXjub+mtWw4vPZkLtZx91dz73xLo2ExsP6SUJuW9Sy5oNFzdeLXd7IIfudj7nZdbA+5PLZOcs4YiEGmGwGm3XUWyayLA3PC4OuYi+sECCfZjRuRM0QxQVJaUhLR/IyUMaegZzYhkCOpGBHrljNSi6qI6KYgsuRdkSaXjDygh2X8dicYseS9c0JMZnAZYt8+pCf3fYwFshC8H5qSbFEvSQdvMPEBwb1AucN62i4JGc3NwgsXZzyURSMouYbOmPyrZaIo/28ZbXviZlg767jqY/YpkFcvODYNMh5QPxYMPv+PmU+ZGgFg2ZGl3raQ8feQ5g2Gf867/jeR4HDQsB+zuPV57SLBPfJm3TznzEOLX9vepN2J2e2K/nDnYBbtqTLgB2X7NkXTM4a7GPHi5fHPDireCHeIIY1UhiSotg8fyJJ0xB2SsyNMU07Y7xIGNQJ0bU8Txpmeo1IGjKhGcScpNnvdTlZMlOKO6TsRYVdBWbzOdWsYtQ5oqhQRc3g1oBRTChDRjZ9Qalvkmb7/N7tlmPr+L886rj7YIfPheBYwZHy0PbPxcf7kmqVMlhG7nUGFyNdjMzynMI4bl7OOLx7wgdnc376omNHKNzkksvxHH2miMHBMFD+xQ2mt1Oe/tMJg90POIlPKR8NKD4+4q2LhnG65GlTEcOSAZecFwUqeA6tYfG1yFjDjSBonjeI4MiyDmFuUEvDXC8AsGlCW+Rk1AjnES9TxjdP0Dai5jDNNCYPdDuGe4kgtIrjaUI1MVTWsJ5L3tmxdE7C8z3Qc5TylKXFuoouSWB/l3S2JEqHvf+IZClRNseWkHf7+JDQmsi//M+P2b8x4/3vp+y6KWvp+Qsx4M3xEQdZxg0D2p2zXGa8+OA2Nw4eIwYNT3+UMx/cI2QCkS+YFJdkBeSkJOsGVoH44U3mO5bLSeT5s5vIu0soIslFyY7w6GHg5JuRW48tRVuTJBc8+VpBVRe89UcduTxBYJnVb1B/8wJ3sOLow5T1YUU1iNzd+z5yrgizwA/2NHerFxz6BbdvvMXMOCrn0Krg9h3D4ajlk/9nhZ441L5hdpqilwK9kugqIOQpq3TNh8/us4wpyxsFsbbICfCN7Jeukf4WQam4SWOSaKkoEoX1/cP/1aJSvFoNbtI8rvQx4vYc/bFKa9I0wVc1UgiSRKMIaKVQUpLoTV4Xve7Sdjf2i3vXr+Rc+53t69faX8Z1Xszmry1gsbmuvw4Q9OqXBD5EVp1h1Riq1vTslgitg9N1ZJIKfIRM9YGT6MkmdFbgY//9v56c7X83Sog9M8OHSKp6keHgBc5FYqJRacpoZ8gBLZWr8SFiHLgQMK4HMEcppEKRKUkQmsY6/BdSb66XK7fGDRPqi80cr/orbAOnq+982Q56iFjvsc7jfLjO4XstpWZbNuS/qxdXzlQxvsbmEpv0OCL4EEg2zl4x9qymSC96HUK4AmjchlUgJVgfcCGS6p52q4AygdYJfIBpxVW6m9jcR1SCNE3IEoUEamOu7r1Ph906WG7eDdC05qqGMqk2IE3YaJ5tXH6s3QSYEQ1E8QoQS3TPZvRBkGUpWZaSphnjImOYp2RZwuV8zeVixWnX6yRJKa6E078qLfW1tvoViSJfZPN98Tx93faOnXLDvuyZnOEKSBKhB5Ok2IBjURBExIuw0Yj6+Z4ZNvXlYw+6bnlWCoEWkVz1jLe+7QPu6pL6/hECdMbjQv93784XrxhwcmOKEIm0dYUPAe97poGWkjJVrIIj+D61zdqeKbUzyBhlkkR6FtMpTdPinPulYICPkabrWK2WzOez3llPSlSakBdl75oieh0ysUkvVFvnOt/rd9XrFe16hTNmk6q8Tc0SV8ycLM8ZT0akmWO9WlNVFbVzG923vk9d9Y0rgLEfoT1RsE85VVqTJprGWTpve7BuM/6vxhx93TjnrkDhuqlpug4EFBvA+Wrm+QoU6K/jqverlG1bC3rm6f5kRGssVWvxwb92KT8nCv5zY+fqA6y1RARKq6t9nO09RqCtK6TRxNinqGxdEHvmYLx+tqtvvcYo3PTVEPvXIorXxvR1/act3erVhsHP39PP3csXUgK3f/dAl0e4jZ9o8F/ZZtta2WaNbBcVf1PXvesliYEkBBqhCCLFywQ56QiZIASFlIEyd+yNIzejYpE4zNDgHFgURqRMfIJUhlAaWGtS78hjx0Bs6jFEVO4Y70huFyWrlxErQWWS26EkSSGOAnsDSKUnxA66SFQQMgFzgZARmXZkIaI3D6w6BkwULKNCrRzEiLeCtQahPTuxpl0JbIhQNEjbm0sEZUD1rONIJKSBKAWEBNP1IKgTAUSv7+itJCqD0BGlA6byrBael+vAar7iclZRiJ6ZWtnIByeed4aRYQpvrkHuJsSY0MTIehGwIuA9CBtRDhCahhwVBbmoaOmNcRoXsCuFjwItPNJ58IE6V3ifIkKGth4ZIxKJ7jSJ6lOJTaXBCpIYGdhAo6FDYWVCDC3KWnI/RMYG6CAuCDHS2AGxy3BO0QZNbRJcNPjEkZQtrsswbUK1gnbo8aWlLFJkZzHLgFgq4ighHP7/efuvZ0uyNLsT+23l6sirb9yIyIxUlSW6RKMb6GlgBAYYG7MhzWA0PtDIv43P5MOQBpJD2oAGECABcAwYdDdQMquyUoa6cfXRx9235IOfc++NqKyqLMHeZhFx4gj37du3b7G+tdaXkWW7HGQr3jNTLiZL9BSyhcQ3CZPDzomiF0uW48TLbwQWfoatJaEuaaxCiIJRFvEhkHtBFiQrIwhWdjKT0PkYphBp9gLOadKyJMYGowK5iUwN+CBJN5rkW3Ty5DQ0WUadgdMTsvOWOG9wy0SNpc4VoRDMrEMLSCeaLAaElXg/oHE3BOFJOfiswUpFREOeyErJrpGEWuKsJDYCMZAYbdhZ9fBuTpABWyrqG/AyUe21XfZQmZjuKlTwSBv43qBHNei2/ikTzA/Aavj4l2zAdkmMJaq2FCaxV+b4vsILwdU6IfpgCkF7A6GMKBK27oI/UjSk6SW6DuQpQxpLLBOxBGkXpNx33itXc9qhQ6J4IjLGMVB4sOsBg9wy0J64W3F4ohg/qBiKird6JQ/Kgv1+RnsZWceWUzHFlpFoLNFERJMQNdRJ0+BwtJRbdm2WkbuETR6rLIqE8Rm9piBjThKJuQQ3oJPS2YgVkgBo71GxJIaMFBRCd9mzWxUY9gNWGNpVRcwbfGhxOhGatAFnJIuU0DoSc8/QTAlIZjJyOWpYxkBoBSpusm/LQDaIiBBZziWh3iSEMoHBKpHlcDxIrC9h1SaccNQKjEjkxjNwFhPWXE4iq2tLqwLiJrAoM1aZoC4taxmpcZTJ4s40rjWoa8lhESl1YCDWNC6npUtwkLeRXkq8U5XsINGN4/LqkudXN7ycrvDsEHEIkUi6RkXV+TQqxaSQXBaKXpuxXtS0S8tK3nAZoM4kuyZH2z4ylhDzzrNUJKRIhBioU2DqC6brM5bzM8z5gkErOQ4lpBXLylJngQPpKR7nmJM9jv0jrlYrprMW5wJ1VFQyx+01LE1kGRNFDSpqglYsG0/CE3Wg3BEUmUEZzauJ4nqpWAdFHCVcFXBF7ALXZSKWiXPZYKMln3huwpqrxuFXM46aEY13TEJDowRRQBY9q4ElawW5M6hVi8sSMwW26mMdCO+plcOJgBcCEQJ4h/SaGATCgCgjvvSYpCh9DlnePQOywa8gtJLG5QgbUYVBv13weK/HvNV8EltYS0QMCJEom0h0gdY4hAeUIAlJlBG0AK3pW4vwDp0CfbdLudaIixInShrdMPNTLpsRwUnyC0/dXLOsDWv6XMkZgga7Bj0ukUZTzzPmLlI0gYPGg7Q4YZm3lxQtqByu9yHRIFqJkRHr5yTfIvMCU7UU2pKrHG36CCoq7aiDx0WP8YHBsiAaQZ5qWtHDYDDLHNl6UmwpeytoAk1bsFwK3GpNdEvOy4Jx3pKrzh/b+4j0Ee+64LVSkdCXuLKHK3co/YLSLQm+Zu0FlIqU/RE9pb6uj4MQAqMUvVzT+Ndjjbcb9SRuEePuYrqNSwzbNajAZBn9YY9mk8ksyzKkAqUVJsvIs4zWWparFSF00i62kg0B22xftyfmPjuC28Wu3O7Y2YAAr11iek3W9XXLmxsDFxOXizU3ixXWdWbnPkZcSHx2DQ8GUGjoGUGWCZTqPGWuVpLapjt/oK35+h9xkfxV5dfd66/TB+57fmzr2fm+JHwM9HNF6yJNCp0xsyiI2Zjx8ROK3jnD7BlNG5msE4sG1hswq1BwUkkGZYYoDM+uJsSQEOlX4botkLJtprvgvLj7QtrGjuj8gcTG0zu9zuzrMjHRTQJtS9Pazuhcyc1CZbPhinSEJymQktfBlNt6dDutO0AUjFFI0YEvrgmUZU6mFSRYtm0nT0V0vmkibf50l+CTYNEGlLbM6xYXLEp6+lmk9V1ffnazAb/EHUAgE/R7JWWWIYBmseg2mSF2/jIJiAl/7/l1tsEYhdGKUVXS2Ka7jz4hVcdoCc5uZJaCQWmQSXSZ6ZBkWQeMkASj0ZDhYEC/V/Fwp+J4VNDr9fjl83N+8fSMi6sZCDY+NulXnqc3+9vXLV+r/8aOCSegq69SePxmbEiksGU+bcCO7Q+3iccSaKNeG0fE5twxhA3gmtAyYaQg1wIhOwZUoRMruwGlUsKG0En+pIIkcD7hXLwFo26PLwVKRLJco5UieEdb18QQEUrQLzIKo+jnXX/Z+qEl6ygknPQVO2ODi4Iff3FFXdeddPhXhpm7MTXGDriZLZZMp1Omkwnee/Qmq14c7dyO5YKOfaa1RofON8x7x2w2ZT65YTm5wa7XHbgkBC5GTJKd75kL5GWf8f4RBMHL0zPmtcfGLg29FF0y37QBqLXmln2b3qh6lhuKIudmucS5gPcdy+euf9y1u7KbvhATqCXWexrrePtgBw+3SQYEd8/33yaLVcoO3H14dEjdtEyWNbPlsmNQSnnLzvt15U3QTIpu3lFab1hNG0AvJaL3LOfzO+BIbjk+94IvG2BJvHGObTa77o2uTW99xe5nEdyA4UIIkBK1uS8pduDXfdDqq+aYrwKrhBCkGIjegbO30tivDjtsrmODoqd7x/hjliIEesHTKEUQBV72EUfPSB7SWpEZwV4v8e5Qs/dSkWFp9mZwXRBCjksFlS9JgyVtf4L4HMY0PEoNrZSEKMlqQfbYsv8o55vv7PDZ/+2GKBPFvuJD/5g0Ety8Y3nnkWC+bnh2WhOuOvNoobr+LI3DDGoKFTv/EiG4qRO119RpwOiVRauEy+GqTAxUzZPW8snNIa6IyMdXZK8yZExgrgm66ubWIHA9R9QKfB+71kgfKNIS0pwYJW2rUXGNkAE5iCwuV9QBVjc7vPjkAnuxYC8myMEmwb84FeTvCx7kgr/bFIR3ctqe4WymeBGXzGyDXSf0VCOXCp/D2u2ig+IdUdMmQ3SSubPYtoKooVxgvEeGwEyUZG5IFnOifHWbeCPzGVnpkJmjvSyQJHTmGDcOgSFmGe0QZNOi5zUD95AsBSRLUjpnxQ4Nu4iZIYoCC1y2DmOW6HLF7GCKnfSJ0z7nn1tuomJlMsajnN5Fwl071LIkvtOjeWuIyd/jfT/luD3nv28/JftSoleKaWhZjBL2XTj82T6LBxmXPxCc/z9+SrgyuPmIS0r2K89bw5qzdYtJUMXEF8bjpMa5Af00Q274vzePS8KyIC0HlMJSacdu4ZgLSEtNfFEgxg4TWkZcMR8coUsYtjcMn9aISWC6SFwPV/h+htwd8up8hegJzHdKjj8J+Cbj3O2xjHOicSwqULsTEBlxNUAWGf1K8Y0d+PGZYTGD7DqhHw4ZmR6HL/dYLj6h1pb5seb5ekSrEpO3L9m9EAQr+HQ38cvnSx4mwZ+3OUotkbrBrASjJy2TPcf0f8668TQqnNtFXM2pWsvegxxzYlh7wb9+WRF3W4x2ZC9z/KEj5YnJiwwSFKlFPH9O5vuUcsDjwwnnQ8FKSby7RimBzwRPVwvG1wPGvuK/zDXL4Jk3cLPa4WQ0Yzysmb095sl3NR++r6l6DylzR2E8Az/i1SeJL1c1/1J+jh3WyJ1V5w16HmEKZzIj+gbhFpROELIcn+eU8wVSLUlZi0hQrAeM5gNcXnOtHecmofYlepXQN44boQFPluZot09MAjZ9o5GRVra8fahY35RcfTGmHn7eBWTLkmqyIs0kvsh4KRIhS9gq8o5+SU3Jq2yMfGRRdUS9UCgvCEJABocPIs46njeQXkmqfuLgQeDgmWBcCR4/EjSfwOUKLgy0RiMzSW8n8cAtMOsln57CRRZwEeZP4fRPHlP3C4SbscCRp0i/XhOfD0m1x9iatx8kykrQ6imX84rLoOBI028tJ0rxX++NKKioW8HPp6f8fHrJi2WNEntIUZBkotUthSuQQhPygtMCpEkc1QPOJwtulje8Gn5Bio8xYYfjqo9c74OtiL01ipIcRSFqmjSn9pYv3JjLxc9YXX+M+uyKw2qPg6LkzD7l8hCaA4EZQ/6DisE3DjhuBww+vSF+NuGX6nOOQslxLPHHnpfScuYi//gXguvc0JYlL5eJTDXkRcOjE0iHPdxgyI/+7xU3ocGVOcuDlpR1QfJxlVBDSdiDj7Ml+xeWg582THYDryZrTq9q/hfffMAFKz6ya8rCUAQovCPsOcK8JM775K8uafLIpCdQhwfotUXfTJiYu+Q1pm2Jm+Bh3WZQCOSBZ6VArXN23C6+l+H1EuKC+XkkOomVFcUyUA1zdv9Oj79b7nO2XvPv+hPEzwXUQILdOUQRuMlWnf2LVOBzfD7bbAAMZX1Dbrtg4Nu779Hv75Bd7iNjH/QNZvhLXrSRS5mo1w1PF89pRWSwn3OerhHWMwiCnQONqgoWP82YrRJFdDxuLPGbLXW14EL/gnfXfTKh+PLbS+pPDWnWY2fUIttXGLFCpMeIQY2IlkKOGJhDhCipDs45XwrmreG9YKnmu0inyfufMcj2UGnA/CyilEP3akaHn+DWD7lZHPHFVcN4cUrVnvNinfGNQ8tREVmlA3wdSCGRWk1mAtKAfSBR4weY/lvsLy/ZXV3SrKZ8fKJgoAml+a1rJJG+5kraGPMbF7lbr4bcKKpc873DAa/mDZ9dLYnc0eiV2mTNSiCFuhfdD7dSqa2EIjeKxgt6Zc7BqIdtGpTWmLxguZjTtC2ruqG22yh5x9Tq6sOGWdI9LHKzIQ8x3rJGoAPQOuVBxLk7UKzbD98xt37Xsm2pXm4oMs2ozFisa7z3ZAp8iLfm3UWmGA57fPvbH/LzX37GdDplYAIrr3FJI3XOcl3TWk/4HTM+/T7G538IKLX93uuyC8GoyhiWGmvbTXQdPjisWLSByTqglOatkef9HctuL/Gz08R/eBpBlxQ6UZrIuNejqAZk5ZC//ugTauuIGzFdF9m+YwRt8J8Nq6GrgxJdJj6tuk9iihz2FSHCvElM1umWcbJts0Qn4cm0INeSVetvM765uPFBiemWMSMThA3A1WXj27ZB4s7bDJSSt20UY9pI5SKjXgdKKaGYrGqs77JJ5nlOZgy9omC5XmE3EhrnAlrA4TDrjGqJlDpRFgYbBL84c7dyvG4juO07aZOFTeK7yiKAPDf0ez2MMazXDUpJlFQUuSFTGqM1vapkb3dIWeS8upjRKyRFpojSYDdMoCrT3XMeOyDH5Dkmz4j3ns/GO+Lmj/eJq6trrq6vObu4pHsGN4yte5vSN8sfC5S63WRvAJ+jg30enjzg/Xee0LR1J+cJAbt5AJXsouIpBJz3qMx0m28B5+fnXF5PeX56dcuSA3jvySP6ZUmRZaxWC4gRLSVZJrDOM1muWbeeEDrpro+bc4mOTSDoDM1d8GwFojGmjWG+Q8nOAStFgduASpmWbI31m0An/QI8iVxLSqN4OCrwgPWRq6XdmK4nrLsHrN4r3nvGu3v0RiOGxyf4tu6y0m1aUgqJzjK00UjVMW+k6hJRKGk6WR+C5WrF4uqU9eSaxc10i97hYhdxU0JgfaDIDGWecXi4t2HqeJ49PwORbgMW3LJtNgb5dCzTLZAvVcQYg9aa6LpnxzuPR97CKyFEelXOoFdQKYkyBpOVPHzyhMlkysX5GW89OOL88povnr3sFim/pi/+oUyp3zRuxxjJ84zxeMSffvgNRIy8OjvjF89e0Fh3C0p9neNvy3BvjyzPkVJ20tKNefrWT+n+s3N77LQFKO+MwN80LweQiY3Eb/OzbZTgjTlsC5xLpTDGIKXEtg0hdFRotRmvhBCEENiO8DFEQuikhNvDCilRSuPbhmAtoVmRm06CvLSRsBlz7y5lAzQUBVlZorR+jcG1LdOLi9/Ssr++jEYjQumIhUNPS5yMBJV40pwwj4qblCj0BQMxZE/t87/+oOSHs0v+5eUp7sAh53309YDs8RXJJdJKMFxajEwYA3u2wu0GVicewYDVKmc2K3hvdMbRcMij8SP0xTVG98mGD/jpW69oT1fwH1b8h/EU33qKSWS5LxFJYWqDsonoDc6VeGUQ0pGpFVmzQmyy2PSVIO0K6g8V7c9zYgPogPCCIkR2neMyy5FoDlzGhCmNyLDiMTJE8lSzI14xyTKs6CTLOylHpUDtp+idb7J7mPGf/fkzPvl5weo80ns1YZRLfAaf9gOPhwecjHf4yw/f4X/48Y+4nF3xlwcZz6d9FkKjPljzs+eKy0tJfBYRxwmZR3oXa9r9QMgS5pWh33o0kel+RNQaYRVJCIwNyJBoS02rLVFECl+gXYsJgQElk11PWwg+ON3nbD8x6yXGzwUxzEmpZiwMbfK4FKiEQIo+goLEgrlWLFU3njjd4lULKiFHO+jemLc+Frz/TcWTDwRP//UrbFWQ9kr+4bfXvLhy/PLMU7+b84NC8he5xGvH888Cn33kudovujlcKr71d/cpiwN0PODf/vc/5NO44tOq5e3zNc0oMn0QcQuPSD0kY+wisNPzPNj1fPaLiphbzNGCg4M9+ikybhq+GRzJZ0yaPv98eUptE1lbcuArbEhchpaTquHBqMeHJ8f880tHo2tGezekX7TElPC7ktXcEJJEZIK42yKbguz5ESG7wlcN7aHjrTPIpcAfSdzZCd6WNFKw9HTzpa/5h+9n7O3ktDsD/uazXzCZLzFtwfCbJfm+ptgR9F6sEJeW9eeep71I3VPsHA/5VmUZ20D8SeLd7w5ospz//b828OgKTCB98Q6mn5DaIVY39B635IUn/9gwlxVtpTHfDvy94YCHecYiJdTpAWpZMtw7Y/6kJB7kfKvoIZEQwM4acgJaJshzxHoXZUsyfUHaV8S+orlU2PEQPxgi7BGhekUqrugJwyo5Wut4/KPAJ+mSj9tLfvx/uqKKKwa6JgKXQ7jqgT6v8K4iUKAfvSS2kbhKjGeJthI0fcHedQcexyhIwuOMxmaGyjXkETIkL48SwmnM0iCSxOUBWzjKqx4VjqFpefStI975xrf4zg/+gnB53Q3MmcHfnIEqoTogts8huS7odlzRGMlCAMs55z95zk//hx/yKu4TVELlK/7J/+7PGB+M8CpndX5NsYKjZYnYvWQl4ZUbEp5dUq+nTOwrlp93LMH9DyXPnnrEus8D9z7m25+zyuHp/CEPTl/R2DU/Lhr+XpazEyR+Grh2nZH0/BsHVHpOXEVmH/cYuRk6JVw2xqYrqt3ID/7bQ3b+U4k/gx8vFrzoJayBh0LSTixNSJzuVWTTSN4m9oUk/6/36X1jh7dO3sJ/YQirhHv3jKJ+gIxDpruafn6JUY6G94nuijzU/IC3ia2mdor/FATxZ/8f2mc/4aeLFfve0vOB07WghyeTcD48RGQNg17gf/vfvM1sAReXnn/z/36Kq3voWPG9Y8m6nrCsp7gmMZV7LPWQd09OyUsQRvLJRYPqH6F7B9TPPyWWObFfEN0FiNhx258N2PtGyYPvFvy9xYS+OaQs32L04fv8/OKK//TsBf/koM+PXsz45784J395ijc9XLXHw+YFoZDUg4L6yqKdIwueVa/fLTVixO4ckrIaoa7IzjTCd2sGXbdELQmVZi9ZnB8wa49p+s8QwpNHRbvQRBVIVUsZMo7zA747+ib/xT/awWfw8/MV/+rf/RXT+RJSYtC2HWNMDJnszJBVYL8nyU4jTUqc7oFcRMpGc7we0fvOnyH6u7ReM3rrC4o0p/q84eOBIlSCD8aCj9yImc1QS01P1hR1y/DpgvM/C6x3NG66x/6XFWWjkQ8E0XQBsrgM2P5TMDN6ThDGkCF4+5cZPy8ec1FVcHJObo8pmgE754H+n8wo+jX6X62p/Q6IAY96PV6MYTFsOTn4BTfxAUu/g5oq6o8WNGcTlg/+mrD4Fimd4P/Lzxn/5JLBZzNyrdg1Q3qy5Gp5zSuVuFZA7JhSksReaGgOK8J+xT8IBr8Di6Hkr5cDkA1aNdz8j89+4zrpazOlfuvCesNSSqnLdiZkl3ZeSrnZVAJik3XsjcVgCAkhNwvYTVYqkRIxBKTsWFG9XrVJcx9x1m78pcKG3XIvLH5vE7iVg3zl9XRf7aQld5dwW7ctOMVXfPZ1yhYQuTVM3dSxa6V4a3jcsXASrUs0LmwycEli6jasArkBQe7V5nfEyX7XPdEfO+IvtgwhBC502fYArleexgXq1uO8Q22yb30oEkomjgZw3aROrmkMwhQ0IbFYLGl93HjqcGcHle7aVNyROm4/TB32QpEr5KYvatHVL5Pbb/1q48bNSYwxDLIC7wN1U9/xRsTtX9xti8WGFXW3kburZkJtPFdUussAmVLqgEcfkWLD5AB6eYY2CrXZ2BdZhlYKryTJdNK4Qb+HDR5SRCnQhSb6CExeY3JURUlZ5gz6/S4D2pYVsGEtaq0piwKtFOum3WzwOj80JWUHOGhNVBkWRZRbA3YIIuFCx+RxIRDDxifGJ2RjEapjCIbQmZm33uHd5o+PnSxrVQPiVzbNv75v/XbQ9WsBs/dPl8A6x2pdczOd44K7fY63Gd20kptMjolA543HRm7Z+eC+fsBurAGhFEVZgeroblpp8rzLtBizitJtMm7SmVezYbGE4JFAJhUhhk0GtC1gwG3fAEFMEh86eUtpur4eEixs19mcc0zmsw07q/N7cyHhYgfSb7NC/jojb0E3TneMWANa3krnOm+gbrzbjuVaa8SmrZJrO+pvCPimQcZAbjSxLNm4ymNDQMvuevLYyRtVgmQdSIEiUeUZWxR6yxzcgs/bKWELVKUN4CvxqBjpG1hHOg+rlO7S2W76SIgRGwOVMeR5F4yJMRB8B56r3wBG/ab3fpfymzySlFKAoG0tV9MZCjo27e9wytvjb1iir0vpYENr+nU/7v65//rN+m7n1bT9Ezt2NHfz8mtzL+JW7htTwm+uNfhwN4amhNIKrU0XJNuyF1PajCEe5+ydJBoQWY6Skta1ZEZ1gQXn2M4Hmyb41bbZ4mbbpUW6DX383sV4T/IQ/GbZpbvof5jXGCkZKmhCTp0E89gg+xX5GnptZNFIsuSpspp1GwhCk4qcbGnxQbNKOf0UsCGy9JH9wkMmCFlE2hF5Nmb0aMBE1KSlILucM/cz6usGtXaYLJCcxNucgbHEkHBWYINESMj7lnwd0ATyqgsiBKmwZd5FTF0kXEekbdGp88FcWUNMApMl+slAFMhoQUhEAhMXaBJaWOwWSJWJqAOtlEgvqdshyhl6LiGDZWAUKuv6i8pAVDAcwXVqibah8ZFSGwYqI008VemRJSgVyD1IB0HmCLMiFS3NYMMIdIIwCMiiyxhYFOCcIDiJ95KUNJ10XhOTJqkE/Zy0hBhaTAoIEQlKMi0yXLKITdDMZ4IoDLJ1+MJQ5znIBlmDaAGZYZUj6I5pkolACSx7CpImrQ3rUUstPPUi4k1g4hOLqeDTC8l8rbAhcfqspjAKnWu++75hVAlODgTTymByQ7/MMKOSdd0wu3jJxLe0yaO8p06mC3StEyL1SFrjsprKCwo8ctkiRUZKHrmOHKWCgbGU2tFbJywCmWvEzRAspKTxyhM2az/bVqSmR+V7PHmYWEuNCmtm0RJ9xKwiop+TPKhZy7XOCTLD7CZCKyBJdKNobUlAEBaRSEtMHrGGlDKSilDWLBcWEVvmMbBuIjIUHKh99vNEkXd7k3ygSQ5kX3O0L4hDweGhYhdH1Qj8cZ/SRFLwKLmkahXKQ52mjE526e0PGMdDeoOWTDkYedq4h88L0gc3PDE9jlTGTebJBgOydUZv9Bb5A2hHgr4tO+/IAG7VZ5kv8ZnDZPvkS4NZRlaDnHbR4m1DpgNnl4GbFw5tW5w+J+hrCsAJRwiOVx/DKzXjLM1QoUWHgIhQF53fVwiJQWixaFqhSU4RrSJaiVcOlSJVGxERyEDmAhYVTiSiDMSkiEqQjKRvHU5ofL9CrmuSUAhpqPKA9ImV11xeCcq9NTvTVwxXqy5TWa6otQKTkPmcal2AzIgllNkQrSwpzrEYGpHRSkmeHC5JXCjheowpdxk86DM+DmQt9Os+ZiDIJbSuglwQ1hUHy5ymAJlL+u/mBNMim5LH+oRsrGiMp9zP2B/t4WOfqky8F0f0vMHVgpFd0uYS+3gfU+wQbGJZlAxXE8TaM7nMmQuNyh0hiwSfE4OGvRYpOy/Wtm1pjaKVGtHkRLHAa4dNhkPr2WkCmTYUgyEiU4hBJDMjCBVCBYTMEQpMtGgVqIByZVnfrPB1oB12MrVcHPLk4Snj2pA3EY9lV2gqI8hOCtLMkNeJZAWVSxxEeNfkNNoQtSIfNCQriL7k5WFNu4LUJNZ4vJNIJwmNJMcyiHOOTzyztmS6zmkzgbGSrFEsjUO4Aj1R1NeO/ChQPUyk0uGzgFWgB3uosiHKNX4nkbxHujV1mxGySGssWQXKCaQD1TbIJDBSYtUaGSOmLYn9gAmJ0gVq0a3BhRO4pHAp4tWaZDuiikCiyDrPW1qMyHE28urmkmeXAllo6pXHWUUICqU8TZGjgkA3LSIATtE0hqBabJSwrpB2iQqdRDSUc0QBeqpY2SVWtTCItLYL2MadjKqpwVqkDIyaHOVgPlyiXUE1V6yvJCktiIWgLHbwkwaCJx8nmsbilwGcIlQRl0PsQTar6c8VpSpoZMTFmiVr4vKa2jWExZisn1EUChEDZpBRHFTs7jyiXO7S0KN+5FiENXrPEMwTGA8gJZwRlA/2KcQuo08n7PR7VFXGzdIgU0CKiBoETJNjWoO2DawcPms4eyvDScW6FsS8hdjiU/tb10l/NE+p7bouJnAxYYUkii7a3U213equC3BuN1AbJkVMSN2xmdTmsw7gSigtyIuMwWDAcjalaVtat8a1DTZ0XgF36+HtApsNA2Vz2nhnwNptWrY/6CRlYntOwa30Km1TmP9+RKnbsjVxdX6zWYsJL7qsXnLDyKp9wq9bnp5e0bYeIRTWR/RG2lW3LWl7ofc2UL/xvHcV+JX3/sBL+vplCxLJDdi4MW72AazzfHLuMaqTLnkHX1zBLy9g2UbGJby7J5i+dOSmZNzvUVQ9ziZLvjg/Z2X9ZuPZ6aw7KK/bRCC4d4fvSkyR5KHMcowEUiAER4ydOf9tu9xnPNBttIU0FEVF1euzbhrq9ZptS4r750sbGSCdj030d5+FLRK6eRZkjN1gluQGrE2sassdZAplpjke9TuQh05GOCiLThZqW/LcUJUFD/cPWDQWGyIoQSYSq3UDTNj6WYUQGQ+HHB8e8I333usYZqnz99lqHMMmBWVnXO6JwZNiRGh16w1mneNibbFuzXq53GS8TJ3PkfeE6PHBd6BUiCTvcCHifOiYDz505/yVTZ7YbLrl1walvk75XdlUQggWqzW1PeXV1TVK626jKzvWmFQSbTSZ7DLEKdVF0+PmWW+WK9a15Z4yDCFgta7ROqM3UGTVAKk12mRkuSFPiXJkO8ubjbTJb7MbANa2CAGlyRBsWFttx2Qzmabf66GkRAhJEKbzhKLrP0XWPXfTNuCcZzFf8PHHv8CoLludUYIoBUKB1oFF05Ccp4N57t+HO6S3yHNGgx5vPzgihU02KqVorcN5T9s2t22ZZRkidgv89XzKcjXH1WuScxRCUJYVw8zQ4XoJ6yxadnOHlBKROgaiThspc4rsDfskIilF6rbtUgynDkD1MZLC5kHcGA76mFAhIhTsDTSdPHZzPRvgQcjOr61pWlwMmCzDKMFsPmU+n1HXqy4aeB/M/VsuQgj0hsWzWtd8+uw5mVIUUnQM1N/1gIlbiTJsn5Xt3PyroNRrz9IbgNSWDX0Hz28iBJtEEbffl/c9pjbBqA2TKqUEyeOs3QD527lZEAQoYyh7fXZHOx2jK0Sk1rimwbUNi8UCoRVIiW1bZNGxDKNt6ZeKyihu1o43y2tjf7pLVHE3XkdE9L/yu9+lVG2LTAac6Y5uDKKSzDmnb+CwUnx+c0JQLdKckkZDimlgZD3tTU7POHZ6NfUiJ4wKwnGJni6pbcWV32EkXrJsPOc3ieO31ox2BI/GkvOP/oTm0RD5YcVUHaI+meC++ILLn9+wTJ03W3kNUDEVY75hrnACzgBrFWXp2d9fwEswBsqB4NrCKs9oHuwQXyxQa4v+qEEDWU8wGEsWiwwXNWKUMZoV3TyQrnFZTkqBrD0lB6JUTLMCUiLKiO1ZJgOHsCVp8RCWiSpvsRYG5Zq8n5hJge8LxAjGe4qfXMw4n1v+5Nkue3nFoA+Tn5+hvl/T24fUesxUomeGYMag5iRT4/YE2ZVBWIF9ZPGiY4L0AyzXorPQcQYnhiBysJ3focggHUiCABETsm07X0UkL/sG06zRq5o6A1saMDniYoIbVaz2KlbynPhKkBqFMHskfUNSUwCGQbITJU+PMsKrnHiRcf7NG3ax7J95ymPN+lzw+VOPu1TsnmQMHkgWP5ryNy7yU+3ZOS7ZLzXvPkr8Yq0ZPSp594MeYz3gp1en/E+ffsorcnwQ5EvBRdxDrVoyt0AMdvGmxhU37FYl5ipQf9GiizmqDWQvLU9OCvI8YZWnWQoakVgXEWGPoO3W/LPBZwg8hS1o7RFR9BnT4x98T7NYG17+aMksLokuMJhJyrcrlI3k1ytmFwPCsEC/B+JLkLVAXhou3S4xanjlyfbPKUzDTgNrBngNYm/Jy0tQl5LJeQHA2Az5zu777KkpWWix0SF3h9iqB26PvaOM3T3BX37QMn9haVcGf/IOw/pLrm5OMdlzDm8qiqC5iC/4xnd2efz9Y77/4E+pLgKxbXn6+JJ+eAtNwVR/xGGTUQRJLBp6j1sKJ1D6Q4KZUsc1zU1koj3LAOFswMsHSyaVpdcM2Ht1Rf/lguVexdX8jKW75PhbkZ/8J8NnHytSchizQJs1IkE/dxTac70utlsE9kNDJLES8GoIjU+kaWJgHbVeEbWFG41wOc7n+GJBz1t6tWWZwPQFxYGCz/ZxaklrbpCxJOUGSsXBxYL5sODycIesaRGpRKQx48EXLNeSs3mP82eO581TPp6/5EMBcQiLQ8Gkfp9UBPRoytufvwelpjkJfOfa04Q5z1dfMI27TFaOG2M4SXOaWPLCHjD/YUlv2qcodzncnyIPIo3pUbSaXEryvKB9WKLXgcHNe6TvSlJhCLsD9p7UqJh4WGrS0/cIacWfHHyKHb2DKjT/sNCkm7fB9xDGEOtTVLCUokLuB5IB2yjS85rFac1H/+GaK/WQMGoZyM/p9Q/wqWT4RHL16pJ60nC+arHlPoEScRPx1YpQrZnakj9vj3mvHRDGD8iLXXTK0OMR+JIUFAd2wTwd0YhAxpqRKOn5kvLGsz4/xc5mtN+u2DEj9vvf5rsfTlHLHnGh2Zcv2etr+kPDhx+WpM/2EZdDijRF+oaBS/z9qk87yLEjxWJ4ig4l1CPctwPxqSA9D7yyYBYC00pyCnaaNcdiwZ/+ueEXHxf86IsC966k1wiGV4b14RrRZvBpyWeXnuN8jaymLFevOJsvuJ6vcfk7eDnDuWvCI0V2VVM8X3HBPilZJEtO+jkpQutBvbKUUTBQgrm4QNV9Bhe7TL51jcaytwx8Hg3BCrKlYCE0SI9RV4R1DjIhckchDAlJCgW5GLD0ib9efIH+bIUpSiY+Y75WOGeQyrMY9lHWUdU36KbEu5yrVQ/6V+ANXB1RRUtPtGSywVcv0cUNY5vx4qpm0vNMHiauf+YxS8n6OGd0c87QW9RxYGf5Fk2Q/PxowQf1LtX1mFe/6NG+9SnsON5SQ5qLU5JbMXgnI/2iob2B00wwHwBjGD809E/nDM8dh/VbPK2W3JQTmp0LptMprgU3f4ujQ8X+rseeWspRSe/RkCflCZXXEBIfvzNl+s6Kle8xvPkHKLcEt2ByU1F85xHFd0fsPP0Rx48S/Qfws9MxliWImnzX0b8eUSyHtEyIy4QT8JP/qsQ9Tfhnkex7ntzXZO3yt66TvrZ8T+uvh19tAZ5BofERbEj44NkaIN9+R3ZR/a+iyEu5MYUWkKlErjW93HTyu83mVqS08WeJtJHXGFjbTd1r6aJhGz7HGNVJWsKdMWzanjDd7gPvE2C4/fnvUBKQGUmmFf0so25aQgoopRj3C5SA5WKJC92Gygsoc4OWYsMSUx17pm1pPPgInWjh64NSWnYXkegAhTcu6Xcqv6t8b/taKtjrF+xUBTfzGpLbINZsmFNQZoI80+RG0y8UlbL0VYtLksu15NVCYkNEpIQicjTqZDnWC57POtYUcE96t8VZtmbQXZS8l2mIAesiaxt4PO7q3DjB6aJrYyVe9zHKMoNRkkwJVq3Hh4418VXm81KA0WrThyV+Yxa+bROjFP2qQMQOlAnAowcPyPMM5zxCaozSVL0SqTVGG4a9CkmXZW1qA7BxuvYek+cgoF3XtM5vjM8D8+mM5WLBq/PL11gQvV5FkeeUvV7nTbRB0WIIxBg6A9ANmLRl6twHj7aMrrQ5Xoq3ls93m8q7b2+emTuQ7c1+8uZx4XUJ0LbPfZWx8WvP9x/ITHkTBLv1u9lWbnMt6d73t+PD6/46acN02vbHjhSlhLg1/kZIwu2Gd+v3dfdabOWWt3SNLdjajWtyW9cUN+8JMmPY0oak0nd1E2Ij66PL2IZCpoT2lio36I287vY+Ss3FZMJitWa2ru/OddvOEKNn/+CAnZ1d3nvv3TsvvhhprcWHQEyJzBikkDS2vb23SgC3nl0apTo2rVaCEDrzfGstmVKdvDTTsDHHzjJ92418TCiREETquiEiSMjOKFd02SKGwwHJB7xzNG1LlSmqTLBeXvPxl+d8/OX5XdIB0YE64+GAg90dfvCNd9BaEgk8fXWNkooyL3h8csIvPvmc//k//hCUfo0N+bdVtn0TBAd7Y3plybAs+fkXX1I37deS7712PKXoj8dd9j0piNF3/mf+zufpthu8hkn9Kih1OxHHdDeBpvthIHiDJtz5TKV7AaCUiPeYStvvJkHHVFOKqtcjha3fFGR5hskM+WAIdED77OqqG4dJtIs5hJYUHDerLvPllgjWxce6GmZliSkKlO6Ay5QSMjpEaBHBcjn/VUDr65ZDpWj6gqavYX2MokWLGukCadwjjvo0F6+gViib8f2/FEyWFaeXFaF6hlkl8oVid2BZZIIbI3jraWBVDLja2aF/fYVwLXhL32x8EoVg9rjgYdR8f6Uxo2NeuhU/Wp7ywQTqAbx6mHBfGlzdo/U79HsXxGho2j20vkBKh9YRs2zQKqF7UK0lrdBcljlu0CA85FPNibUYpQm9ASyX1EFyJkc8STNMcqyTZ54STilClrFvLUkIrrKMsXOkLHB9nOhfgqwNzo1YP67ZzRX/Xb3P5fqCOmuJHxiqYkCsM85/pPHBYoVjVloefaNHL0+0vzxn9K4kFBk/+XyXOr/BOkf92RCGcygtIsvJFoKslYwDTHdbmkzA2TGFv0HrGt5VNFKSnOTk08DVGJYlFKsCQme8rFOiX3iMjlw0vY0cvutT1lf4lGHGrxgMJGUuaV9aVoMM29MciUA9E6znkrbZQaaAkY4H35ixmmYspgaywPe/OeLb7435+BPF0k1xYcr3rw750q/5PK34R+/sM2rX9OoV47/3LvnaYiYr5nrOL/OCn5qKnb+6Ig+OKgu88wMDecU69fg//8sJamXZD5YXRUmtHa2pGfiKkh59MWR5eMpxG/jmVHJaVkxj4tpZ/je5pD2Aj9+FH/3khJULhGJOdr5GughJAorjPcUPvqn40WeJ5SriW49jhafLVDvqa2SQtDOF73kGvYJ39w755ZfXuFXD0FqmWcV4uMtfPPkWZtowSxN+Uv2Mf/zuf8Nwb8jVg1Me/TxRoeFbA2AXdE4cCnbCECE80+wZ/SuFakts9hYqTXC65nzHMnZzspUlfKKZnTWcXi34v/7yZ+gk0NHQt3vED6aIHUPP/ue8vfiEPM75jw9O8BiwLcXTn9KmPbyuCAcNUs4R3sP5Q+LuDIqa8lIS6cI+yUpMqhF41tkAaSMiRup9yWBSUyxbFoOcthW0rcLafRiDrhJvnUtmGpY6Mlx/iVWSVmf45oBqOKXqTfEXiWWsWKeSQV53wR8psccnZHJOlm5wZxpZBeTAoX0iNhrfaNosYFQgExE7Lwm+xMeK3lEgOoevLc1CwKhCHfV5d/2Uuk5cLbNuHC4zUr9k5+qSkkjPSGwytCTWwiPUkKQkSUMmJd4b1m3OMLsksy1m4dg1gvko49PHfd65ciSfcyN2UDaBEaSRQroz0A76kmQSvRWcvIBFLKhLw+w45201J2sd7VXCZu+hUo9hrbn+8CV51fB+Y1gevcdcDvjy2nAQviBXCTF4n7oW+NSSiku+exHYbz2lWVI92kEUmuVijRwMgQp/OeTLi895Nb3gx+cvGXqBTIIbJXH7NVp5Hj0XVO/9KftPHvJP/rsh5+KINhW8vX7FRdNnkhSv9qa8HzW7UXAjLOV1RrYWZIMJzGp88Fx9wzB+ntGbKdK3oa4jTRuYiiVHTWLHSoLcI5kDUj6gPbjGhArtDLF5TqsDTiXM2hBFg5MtXxRjpPdk3rNvJJktUDZjVXj6q8Bg4VD2jH/541P+xQ9fcZg8InRrhqdyh7/zJ8f853/2gAcPDWWZoYuMv7IWg2CI4puuz7/8d5/xf/h//ogqOyQGiM5zwivsDiyONO7pAQPv2WXNU1cQijVyOMVpEOsKOR1jBnPoW9KOR7zKCLXBNTk7TAjDyOqBpPo8QZD4PKNtekgRyIoGNTqkdJad6wt2/tu3ORr2+VZb8X/8959w5leEB5a9p4eINrFQUxACFROldaxKjZXQCs9Dk6NFQS1GfGNcIPbgy+94Tj619K40+dmYn+9PmO0o0pO3eOvmktGyZTgRxBNw0jD9cofGFB1j9NU58/ehGViWywuqvRN01SMWiXFdUM0sox9+hPh2j+bI8LNC8N7HI6rzPh/VxzzJFvQKy8cHmnUucNHjPr2mvwsDY3jr6UNWj78kPZzxrR88RnxUY8/g86NvUwxKyqHh+MOC0uXoNjGZ/JJaCVwbKf7H5+jBNaGY8e//es4i9XAi521zzUpkrIUh4dD7T9AHx6STzyEeQzgic2ecxDMexHP+6b9a/cZ10h8x+15XUuoyK/iwcd4Rd0wSIUWXrUtKlJYb+v3GFHobtN7+6Q7WGW+mewBS6vx7tFKImG4zWbEFbO6xrO7XCbbH3GzUhMQoiXObLE63KXeA201mumX7/N7twXaNnoikjddQpHEBCbTh7vMQOyZAkp38Rm/AuQ0M8ftF5reb57/lsP59f5EtFCbZGG2Lzrw5U5LYBhrnSSiUkhS5wYXI0ndpSDMTaW3C2oBWnT+YFmBdZ6htw5YNcbcXum1zsYXjEohIAIIMEH1njh86iWRXvW0txX1CyG1RGzDJZGnjkdb1QSk6Bs1W8tExQwyCTlKyrltijLfSKqUUZZF17IGUcAlUliNNhtqyMJQmCUmI3WB9PV8iYsTHyLK1pBQhdWwZsZHH1uu68ymLiZAiq+WSpmleA1uEEFjr8CGwbtvb50wkiDGQ0h2br3v925kXr/no3P/gnt41wS0T8RZtZnOTNvWTm01nV6etBT2/Akh9VXatNz/7o4AEbwBv3XW8mQjhN5QNWHTHwGAju9tkznsD5AJelx3dXmfXH+W2X96yTO/9jq5/bo8lN95S4g412/TrLgueEoJSS7x3KLkF47tfRyGp2y67Btw9x3cMmu74TdMym8148fz57ZhNjLiNH1GikyZKIWndlv3XeXF1gQtQymwkfgKpNt5qG3mnlrJjfml9mzRVa3XbLoFuHpB0HlNxA8ipTTtKpTqpZepAQucdMSlskCyWnrWNt3309cyLHaOxjWBddz0udpn7VF6wWte01nZtsgVO/pj97muU7b2QG2ZX3bZE35no/74Mw61fUyIigkXGiJS6A/vSvedw88zeAVHbI9yfM9O9dk33Pt5O8nC/539VjbeyuVtQePP1kDrm5nq1uh3wE53pvrGaKDoQihgJru0McuFW7hpcvMXZX2uq+4+bgK15o6QDpdJGjvyHlIYSJyVJKVRnl09IjhhLRJsjVgadIOaBVDkCEe8znJWIcSK04KJg3WiEjozzyJqCKGCoVzRVQNZgvEa3OVbBIgOhDTpFVGaRsznKR8rQxxy0OK1Qq5x6VBONR80amlaQkiJGiJlHJo9oOrleFOA97Pahl3X+gle6pbWJtpDUSROTQDUOWwWaCKH2RBOIBNqYCFEStMQPoFmoThoBeCGQGAbOUChHMgKXHKW0lEh823LTJuZRE2YV43VE1A2rtSQh8VJjEVxOWuZ5IG9z6kuDU4p2UncprEXEKdt5dSiNagRFJsk1pHkAK0hBQvCIGJEhYVeSwuRoNM0odIkpWsD5TY+WNDHH+AawxLIlNSVYTTKLTeIQievTyXtmhuhi18kzT+s8MWlk0hAVBkWRFG6aCK1H4uk3GYNW0nOeYtYipAej2a0Sp4tI0wR8ryGODZE9mpnGzhrkpGX9KGCXDjlrqZDkSpKpyLnrAHvbWPrG4nVi6fIuQQYJHbusVtZElrnHW0F0XXY1sW6RAZSLhHGJyAS5j/TaJcELamEoYiKqSJNFWOWgMvJ+zuMDWO0alnlFXy9QUYAt0IMMgSbZDFXdUGWSw2yMMAVuWTOo56xNTr8YclT2iLJEC827vcf0TwYUOwW9sk9xIsm9xLiCm6Gm0RJrBZNli69b5tOWk7lHhYZXZYbyF3ix4qz0DNOazDrEuac5h9nUU/oK36/xyrKa15hpQKwTF+5LaC7I04rWwTIHHxx7FwtmlLQKBu2UWqyIKaDnCqtqgvX46xJSQBAxIlBnHm8iTQDhQfhEuAmoOuIdzKZbYL9bmwnlSZnfxCYzbBK0ZcTHghArXK+lEYloDXLkiLVBNCU2SjSBLEVK1YJviY0n+CHRWZSN9F2gSWCzuFEXCJLQhLyTrgqraVWN8K4D2wYgexajLYumh207e4YCi2q7OXgZHF5ICIqoG1KMFC4xcytSAhUDshI4n9PWPVZSEKJEx0gaKigjau2odcT5lvnkilCXCAWydhCWaJOo1jlr0dKuA/o6sEo1TVawcEOKfIVOlpX1eDVDWk91JVhULVlhkbZm2TxnJQquphk+XqKlwOcVoQ1ELORTxlPPApB7mqPJNVoKzm4ijFqkMFQXM67aBVMf8F4TXAsyEnuayilMkNQ70LRz3Jnix//xiom8wSbDtJ4wbwyrJLnYbdEeplFwqcHMNbqBopwSfSKQqFvF2VSgW0k0Ga5JuBZWSK6dpe89XtUkuSapHv7VFBkHyJhD+bLLsB0EI69pCNQycjNukUljkmalYagSfR3xqSGYklWvgmlg3Tjy6Gh8j5TXhL5HLSPeJpZLiVAVrTQsgia1iTIv2Sv7xOs1YuUpvSdGT5IgtMfTWf+wEmgHwkeicJgk0NGjLFSuy1IeqpbSRuzKsFIluXMIEUmlxRDReSLpRBLlhnASkcohtUSVOd7UtDFSiz496ZnFJZ+t1wTvyVwiLgSlbztsQEhC6LJxRwmVT2gNbalofEGWNEbUVNWQNMhJRpDCJYrIeFfQo0e9VizOwRpJW2mWvmCVTbHJ4soeK+0QBA4eJUSmCS7HrofkRxVCZ9Qv1oheTjSawwPDsixZigLnJJM20cQ1xfGEFDsv4/2blsuqR9CSqneDLnMwBfRuMMs54dmaLzKPeDYhTlpm+h3Wk0CRS7LqGbuLjGKtuC5XeO8JdcuVuKG/WqAXDVZ283hEs8qhjQGfBFJGKFaIYsr4piX05oRK0I8z0qrlZiHfXBb9Svmjg1LbkuuO+hxCtwK83R9Jscmg13nexI0sTajN2jOm2zVrSiClwhhFlmmc7ejzUkryPOv8aYQgbt6PoQMKtpK5X9kjbBa323TaVaaYh0T0b373HojFNuPdBuC4t5/+bUWwWVynjqUU2TCiXMD7zpMoJNDEDdtB40LCek8IgVx3zJ8gRAdo/T43gu0m928ZleJunZ/umg3vA0oLlDJUpabxDc5HXJREoboHcLWkbQJtGykzQRtApMRRv2PLtT5yMY241LHLUqTTwccuY+1XX2kAGSA4ehpUF2Qh1/eC+vc2S296rBRZzoPDA0xRdubNUtLLc4zRmCzbsEMESElWlHjvWE5vuLm5wTuH3GacFNvMk3dS1zYKbBu6fkgAHNN1lz3Nec9suSL60G082xohu1o6H2ja9itlNttrUFK9tutzzpJs2qSV31znFgi5++Etw+bOtP6uz29B5u55/QqJz/bvDdArACG3bboBvW77yCbzl+yes8hG5vjGdXwVMPXHBAFeY3vweh/aZg+7B4fxVb3s9qrSa292LEVSxzqhS/ZA5JZx9pX1eaNdw1e8/iofn1+tw51cWWxeCwGZ1ptFMbf3O9H5vW29me4Ouz3Y5jhSsVwuWcznnJ+d/Zor+Drlfjve66RbtGD7b/wKSP52QtlkJ9z+lw5gUUqS5fnG3NwglECKjRdTXdPU9euAfQKJxIXAom74/Py6u2+hy9CXNEgXmNy84mY2QyjJhoP59SaD+1X/A/tvBxR2c8O6aVmsapqt/9vvICtMKd0ahxtj0JnG2QZcgySR5Rk2dokQfOjmpG3Q6Q487ebo7ZgQt4BUeh0gE6JLAnA7icXb1uvqwh3oedsjNm/dPpt0Y31I4VaeugUU26aFlDDzG7TswKQQBUF0nmkyOZIPxDcHl7sabs6ZECmSQkCR0ILOCyFG/B+GSbEWI8AgkiaLVzhlscrBaodqklFNBXWR4Xct6bBhN5O0rYObFk5AKEFKgrObkv3c8XBo+VgO6aeGB+Gaz4fgtELGgkE7ZlYIVqPIcaoYj1qGT5as//0No/WAb/KY8N1T5LQg/9k+8+9/CuuGrHbU66ybs2WLKy3SOYpFYl2WxE1G1OrIsz8q2Ns94KPTJed4XvQkl0FT2cBuu+D8QSfjys/XxDzQCliFhPcZIZe4g8DUa2TTzS9LY8iF5nAxJPbWNJXDTi37LjJKgdpc8dJILmxG87MdTvQpOWtWKWLTGEGfUTri7PQLAiveWu5xPhnQpshO+oIyCjCSNnfYgSJliuwFDA8leRG5iQ3YjDwoyGYY6xBesHha8rjcoV9V/PLYU50JenNPk7/azIMSa4fMk0CJhHvQks4L0rpHqq7BRQQCOZCEV33aqx5NcYXHkaLnepUwbrsYdwxFzg45z85HoKdoNefQ99lbBEbnEw5PF9RZSRxU9MaezAVoIi/yK2YPHzLYf5ujf7GAi4Ywn3P5tsLPPI8/bvnGD/aow4qr9YR/8cJRzyLp2vL+jmNalDxv+hRiiUkCEwyIhFWWZTaluFYsI1yKQM8GTEqUJOzRAJEbdiaR8c0LUlvgzQP68pq2tCzGAhZDFCMO+zt87z+T1P0Bz3ce8ljeMGgyhtN9bo5HkGX00GT6Mwg1bgWP32lxqxXZ/BwtM1JT0p5nzI4Ug6zkL1Wfyb7iomgJM8VkL6NeQfFRy4/fv2FiNPq04vTmhtXlivpvJnxf1QiV+Nf6OSadolIXvU9JoFSkGjT0Jxm6LRhyRD1qacolV37Fo9kuhTfMsp/xTAg0kYOLL2l2IRjoCVihiFHwYDpnHiOtSAzKa25yQW00la0QqUFiGQjH2SEsdiUEgblKqFkiu2zwWU5jDM1ad6OdUAjhQc1IesEyBVo3IISS2TGIWQmLERx9TjPNqG8q9J+u4CpDnFVYW2FSSylqDuMV85nl5jLh5A4qrFCNp99Gwm7E70fyFzlEgRVg93I0GVmjqOMUlQRGGOSJJcsSJYKL2T6hbSDNGeIYOMuoafhokPCZIeUD6E/oe9irYTWDaCNFaxkfSJqQcDGwao5xsUaypnecCDainlrsOwdE6clvbqhTgYyBrJ4jUPRSzgO9y/PVFb6tWSSPpyVZQ37Z4yZfEvoB9yAClrTwXPoZ4mUfpRRLMaO5uQKgsAULIARN0ywoiholPQj4smlJJuNMPeaD01MyW/NZ02WyNjFy0La82hmylBm0JatUo6TF9iUHNzk5mqcfgj59xc1nL3n62Xb/0c2IZdsiY2Rdlpw6i4mB66IEOsuPQdNQZxlWdSNGa1q88YgfCbKVQdU5dbOPyRaobE0zrEmzAWJVUJYrnOvjUw6PXmBWmrzWnPQarpYDbmyJ+s41hCPwh6R8waP9nEf7OaVZ0vQe0RbHlGdnLGYLhg6epRGxD+KgJn9WM5nU/PyjluGwpBlpppUkm2vUYIiUR0yfPyNOAiOx4jJNkCKRGc8EhbAJriKDUCNpWKcFfRLGQuEkGoHteVY7K3rnsFz0WC12IT+HokH0VpgIJoNehFNxQBQeww3GWHSZkY2H1JzR2Jx5OqFoZkzclH/zckF/VVA0CrOA3MywWoDIcE7jRULkiWPr8FIxywZMFhU9a3lLXDB48Bbx6IBePcDaKa5cM/peYPyjHZpLxfqqxX4rsNiRTPYHXK7PqN0KjgMCR6UVx8N94qkgznKy+oQ8BOS6Zf3DFdN3d3H7GR98q8eZHnJFH10XvJi+xNQTfvBfLFksDplPMt7/0RlueILraYa757B7gMklmfiC6lnAnuf81YsK3TYYMUEP5rSXnlivmK5/yJOXMFwYfvh33qbXWLK65ql7xdsLwcFa4vKcaDNi0pwdbCSeKzDGIvKXYM548KygPp6z7nsOS8HLV5KPnv72oOkfXb4HoKRkr9K4lGh8xPpwx8pgu0lOFJlEASollt534IAQhHvWDcZIMtmBXP3BkF7VYzAccHU1oXUOGwOLxXIjDZQMh31SSljraJqWsDFb7s4IEJESitywN6iYLRpaF2h9fEOi0C38zUYKEVPCelCqW4i/JvH7TW2hFFoKMi1pvSdsGDJdhjWxkR90jJRMq1uj6BC3WaToDJWRt0Ddbz/r5jLub7Tvgwpf69e/Wn4X+d723+25d3slO70Cax21D7TeYySUKlKoxDIIxju77Ozu8/LlKySBQgkOxgNs6ICoP3nnkBgC69qyWFsuZite3izpF5q9gebBKON0bvAoUAqlzO29CymSaU2VFwzyDm1vXMDkitV6zfnlDc9Or3EudNkgtxv81IGgVa/icH+foiw7MDHEzZa6Q11E7LL5Oe9YrhvcJjueEV32sxAcScjbLHuvteN9AGyzAU90fW8jvLq9awKJVt27Teg2ZzGmW+Dk9qhv3Kf7wMIduPT65vhNUOq133OXyj2ldJvNr2uLtNngcsuMDDFuXgtyk3fywBAJd4IpQoRcS3IjqIzCx4TzkVntb/vOXaKE9Cv1ffP1HwOs2h5D3QO3ty1wC4SkO+ne/XpswZ9NEr7ueJLb5zZtiSJx8+ZXlF93//6YRQC6yybBljJyeykpEdNGWhC/ug5iszGFTXvdA9e+SmZ5f9z4aiZP2p76tmwzk95+fg9AucOytpPK9nndfHTvd1vQ9X7f3kq+tgDK/TpIKRFSoDcLvu1R5Zahdo892N5j7/4u5Y8Jqt5J+fi14PRXlfvnllLy6O0n9Pt9ytyQyS65hM6KDUjZMZKbpu2yFnrfedzF0HnIbTzivHddcGBz/C4jXryVc3Z9axugupOVdv99PWPrbea+e3Js8cZ9fq2ILvCicURniTEgZMfU23pSJTqm7mxZ38K0bxajJUYLjLhTGfqwYdkmwXJlv3Ybv1kGgx2cdngdGc8PKUgYGXhZXaOjJvMZSXiSSiiT+PvvRqIXLBrJD8uWOFFkV4aTkxLdglwGBu+1zK8dF08tpZLUe5LZA4X86SHKNWRyyjuZQfYjbi9S/tm7HO/s897giJ9Nf8JFo3m13mP5s/9IvmgYrwXvv/UIUSpWxvGfZgXttCY/vSZugyokUtFwXA7588G7/Ov1L5jYiK/H5H6FcAnfah68o9CVxsmM1ekMW0sau8t+fEXqt1y+LUifV8hGUBQd1J7HyKELICNNljjfTTyZCpQteR4fk8sXBL3mpqf4IBxicslnjy94+EmiN4OkJa8kLHUilp58doCwBevCksslCktIgqQ6Y9x2aTAPc0Qv4i7O2V1LKtf1i5XWBKnYbRXT3cCqELRXY3LRoqVlna8Q9QjhSrJsiXMCZOLxN1bc1JJFI8lnEqICJGQO6RUiSJIIlMlSJk9SEB2EIFlkJWlckfol9kxCNkUUMwZDw/d1n+/qHtlR4OeXno/OI/Vkl0c7a97amzOb1Tz5zjd57/t/whf/9hfkyjHoJUYnhugVrlUcf6MEFwgLx40N/PiZ59997PlHfc3Rg8TuO/DLX/4A42EkaszeGexq4mGfs3hJvx7zYPaYwpyTMo+vJJlasb5cc/XJnP/LT15wtYTa9egVc1CBIKFdHXC0N+RP/2SfwZ8W5HVF+dEO6nufEOsC/9H7VMefMgmBn10PWFz8BN+uOhB6rcmkZ9yfU+48pE7w9OYc3eQkEk7XGFmSRRjWDVEKnIHpMLHTl6QoOL1KvL+CSsH6geftFwLr4f/1OLIXPLqF2bnB2iEywp48Z9EHpxTZqkeR1pjkyQNMDjWthuy5I3u0jyhzmhc3rIMmCdgbL6nrEhcVHK0Jsg/eUJyv2EmaPCnOCOwlRxU9F61jYSq8Knlb7mD2G6gaXj5fo22OTIrr/hQTDIXPeOL2ON+D636kPLvE2gpSwZ89uEAsJWEluZEt6zCmTiPkowVuHWiXgaY2ZNqTG4/KEq7naHuRcHYCLEBOGbiCahQox5GXLx9DqNEsSEpQbZhUp++Dmgfys8gye4gyDmOWrJOjaCODOjFX75FSC3GKrCxFFhgUgctxglpS3Gh2mpI6c1z2ligzokiBUVxxs+gRlUJWAu0sXijWuqJ8vCRfOvofO87SAQ4FOAYElI6kIrKqanCG4maXVnSqhSxZYrEkaU/SCTBEp2iWBnFUUgnHydU5fpzweWKtBXaeEa0iJclBaillRBXwYp6z8oZgMkx0yFwQHg4ZyUgvWvZWl3w5f8CsLYluxQE36KLl/D2JfnGIXGWIwTXCJxKSdjDicDYlaxwv08FtUCcIz+BEUo0Eu0rC6Qq3bPjyoEWtMkyjGbc5bmdFHFp2h5L0Cuy14Wl8C3Fkod8SntYYGclF5MjVTA4Vs11JihYsCAcDDawF1KDbQIZBo1kkj1ISrQW+zIjSkITBtpoQG2KsKWaWmEtCKRFOoKXuAoGHDuk10maImFBSoaWGxjGkZiRW/Hie0fiKEPrk+RXKt0jnaN4ZI5uInnTzbS8L7FSB51cPcVVD3L9m91nElj3mx7uML8+wrWBhC8ZpTuonmkPJ+NlbOKeZYsnzKRWO3Rh4dujRrsfRxUOuqojLArKwFJceosNm6y5BUJnTHIwJTx3SWvJ8TWyHIBKiXNL6ESZIdp3lG/+rDzl6Z8xbxz3OrcJjqIqK/S/HKBeYHj6n92xEsJ7L8VOeFZ55CNRnLY/LSB9PXMz57NPHzFyf9J3Egf+SZCf8fLri7WePyBclX+YzDnbn6KHn2cGA8KOS7FzxYc9x8f6QsAffbX7K1XyPOlTsPql5UY+YrDP0izmlzKgyxdGJ5dn0jNlizdvLD2ibPk5p0t9/TvjpDeJ5w+HD9/DLa6Kdkx8Fml3NupR8+WmDXOVIq2l6C4QcIEQfSc6xW7Hn1nyW1Ywi7CTF+PiI02rNi3zJ+t+sf+M66f8vTKl78fru/1uQB0BsZCspEsIWLOlMkr9qiR5CJMqOQVMOxgxGY3b396iTxjhHSJHGOpztMsYoAaLT92GF6LwpxCaieivJgRgStfWdh85GmrCVbm3rqSQUGvZ7XXrx80XCpW5DI4W4lYrdYllvAgEIZOokez52C/S4kZP40GUjUtv2gE3GKoWky6ZlNmnVizxjvlhSNxbrOi+i30WmkbrL+YPAqD/oN6kDKZwPFHmONAkTEoJAoaHU4G1ECE3rIiovKDPDoMwpypzYWOrQcLPqIvXOC/L+kJHIcSKnKnN2+obhyNDmGh87ijlSb8ynA95HtNYUeU5RKEKM4Fwn+VSJPKvYH3fSIyEkTdtsgJA7JkFwjrAx4U4x0fqNNwmJMsvJtGZYlWRS0lrHurHkWgMR7wWzVYPdROtv2QD3dtGJ1xkySXYMInWPFdIBPt3vX2MDptfBhTefpe1mXtz7+t3P7jMaNue6V25ruwGTt7jArYxWbIDfe9naOrPyLXMjbaSognabaXB7rk3/32R9f62O23q/lo4+/Xo5368rvw4E+HrgQEfv2DJT4j3vb607ydxWWiw217SVqInELastbKRpJIEQCXXLyLq79/D6/XlTLXSP1PY6DnIfTf9K0Po+wLNp4Pvj4i3Ylm6Bxt9IrNx8bwuab1Gi7p6+3qZv3q/X790b1b7XBmrjqXXnZyQ60/zbL6fX+v72krpn5D7IlSBu+9pmHJSCDXUPkbZy4q2H1yYb38Z4G9FJJ5XpMr7hfRfwsL8/OHEfoPtDQdXfDPb9+rL9vpQCozVtve689oxGyw4wkmq9YXdKhFKdTDLeyXq10l2bbB5ekWIH5iVwrsuUmKDz4AuBuAGoQvCbDHwb2fNGWhff6CvA7T3vnq87UOo+oAV3PTCkbq6OUaBlB1QJNs+S4Ja1++ZMffcyImKXCXCbiiEmOnbY79TCX9HmQ4cQHkEkKU+IIImd5JRIFJ4QMtACkSXUVCAi6ADKBUyd6IVAiyW4DLOqWMxh2WjqmFOGGmpNWBRE4ZDKIoVnHSSFV1S+QB/tYA4PKQYPeUhDGTy5ksxeGqx1uCWMewpdCjIRMY2jbcDGElCgPZRrXF4xSyXPblLnJxUSyQdkZog6YpMjqxM9mdAjQfkop2klpzMLU0EIkuEssvAZKUmgW6gGYC0Sud/csDpn7SNIWA5q9MojfcDYQIPFJk1QiTUGUiIPNXq/T1UZKpkY7x+T6wH0LauXF6xnC67tuss6FhUplbjoOylS1Gid0AiWtsALiCrRDDxtz2NNArPCBEcWPd5FktadPNK1RDRJStrUzc3KC4wvu8xcJlHGASFriLToFQgVCRqSVxAVInZzqfYtsokID0p4lDBkdcQNI/NBYvxwgOkZhpVmT2acHGkOH0D2dEhFDrMV7I3JKs1gnDFIlllqmZuWaAsEAUrFaDzkEZ7viZaDXsbBgefwYaBJD5FeUoo1pig6meWO4YG1mGKM6R2QKwmZxZcWrnJ0lpMfwXtX73LQepx0GGG6oIzULIWi3xNklYXrHtIGcn1D+1yxipKrfMUHhWUQEo/yyHI0wAWDFwI/EejgGRnF9aRmklqu1QITFcklbLOk9IHSQ9621PRoMsEsdfYFMibSjWftTUePXwWWUuK0pLfMQCS822ay7Vxba18SjIUs4WtHaiIpSFrRxzlLxJFtstIF42kHgnyWUDFR9wVGOXIfiA04mZFSgektu3V/SMja0WSBKBPajhiHDBUNpWpom0irFOagpHAaFWDahzIl+j5hT0FFT4XD7STiUqBqRdkMsb6moaXJE9YKvBMI50neYoLHqURmBEWuSY1H9AQyAx9XBBxBStoyoqPEzBQiuQ4YjAaVHCEmGkCKzRpASlToMr96l8Fo3a0LnKJINS2CRvQoUuf/51z3jMtkELZHRKOSZugl9A3Sa5qlRJoumx+xZNTMaGWiEYE4D/ha0KiK3ULio2K9zjBjhzYBIxz9YdPJ9LUhWIeMHlJD7hzJJ2xSdNz1iBgmirIiCxIrJS5ofEi4siX0IuiEXnSKjAYFLkNmkUx5rIc8BowXyLqBYaIxnqmTuKpFqIReOVwsCTGHRWdRkIRH1RVCNiAT0nuc6TxqzVrglMPLgApdZnrrBCtlkSJ0cvSgCEEigsTLSIiS1GrquQYXCRJSbMkzi+k76sNIZXuU3hDKlwjhyWrQ2cZnVEBZC4SNpAC1LJAhIoNjJwTWlWKdK6oATrZ4tUaVJVnu0Tqxu4Yw6uEPR/RcJKHwQlMPr0jBIFxGT3hy1SNXQ5SY4OeexY1EyITQnqRrCjw6gUoS2XRApBvmyJWjFZE5iUY3nU3BqkfdW5Eqj8nWODrZuE4CESpE68kWFq9WeK1IJhLaHOc1jXckGUgq4NWaZiUJLZigCcISs4DtBYTMIBcY3VBJh8DDxh87iS4YL2LAZLB/BPV6xeVpQk4n3HRXQ5kUq8UVSil8GbCzhGgk0ZXox5FBCY9HiarUKGmhF3kvlNQhZ/rIMnAHSDck3/ccVz3ESjBVgZ1eIDOeIMashxkqwDhbUGealVScl7uskse7BZOzitDWmLYlLkvqYYvPW3azClHtoELF8kpSZZGitLy6aUiNx8REMW9pckdbBupWsV5JVkEgvEQFjwoRVZckVYA25ANLbj2mjRQpYZxAxMQEi2w9x19j2fy1Qamvy5KB7aZz8/1tdFRsN1WdwWiKYF3YRNrppE+w3XvfbihCTCRZYKoxw71jdg4OOHh4gs0qnPckEov5jNV8TuNqRPBoJZES1jIh4mZju1lSptixL1xITBZNBxBs6rkFb9ImSmokVCbxpyeamOBvTiOXy4jdJCvbbq6/sg3oFsmxC8kjxMYvJXbXH0JACqiybhHdnVtQZrpb2EvD7t6Y0aDH8d4uP/vlZ5xdXtNa/7U3IH+sDGZ/yMZn2z7OB2rnGI9G9LVGSE2IfntX6BmLSzCZryiqAaPxiN2dMb5usHbGrK05++wCKbtsY99874BBIRiOAiov0Zkh5ZpRxSY1uNtkZ+yi+IKur4UksOREEfFS0tYNMUqqvGTvUX+TXU1xdXNNiBGpFBKB9566bkhN7LKvaU3rbAc0kigHQ/bHI945eUBbr1nWNec3M7SSpOhxds1HX57SBHfb5+FuI719ne7J7ZLoDH8Vd/0ppIAIbwA5gNyyPm7ZBtuWv2PlaH1H2+nAlNc9kjpTegFJ3D5/6V4n3wIz27pKAUWucT7gw8YzaaO0Mkaz3Tc6FyiNoNSCSSM6w/7Y4QIxJWxIhOg3WTfTPbTirl6/zvD865Tfn5FyB3AoKdBSYjeAoJSQF4YQIm0ISLlldnQZ+boktJ3Jf0iJmLqFmyChlSBXneTMp3ALlCMg2/QNHyNNev3+AJv7c4vGbKD++6APvPmj1wCp7XviDqjcHOoe4sWtp8+bAOHdMe8BqfdOt/UO6645vtZ/vk4RosvElkndsUmV3EhQBat104EaMdyv6qbfiNu+LzfZPm8BuiTQ6o6JozZsKLFhImZKk2ndMSTpmEFKdf+XsvMfrPoD+qMRcbXi9PySL09f3YHAvyfz6VeCGL/HOLv97u/CktoWqSRGa/plyfz6Cuc9bmPSv62ayTKU1hR50Y2FspMEF1VJludU1QAtNgkcypyyKBEIFosFea/aGIYnnLV471nblrZuuvHZJ+JGqm6bmqbtTPLvt4dz7nbsu0OVRGcyzwZb3Uh/ERBQBDpPPilll3mHhHUJuYVR742/v9ImgNwEnlzspMTdNYP+QyXwhx2TTAaBW83xm0zEmc9uwWlnBzAUsJfQX+bUVrGIoPKXDIJlL1h+MW8pmx127IAXH+cEJZC5xLZf4qY5cbpLUV6hs5Zk4EWreKL7fGB2WIwPKEcnuOoDvj04odU3XI2ec/604qkN/PBFQktJkRKuDpjzOWKhsXYIFIhsBeMZov+A2aLkr7/0vJ0EpYpcZivEYExMFsQEfaMYNIqjgeIv//SYVkX+7dMzfvRTjZ9qjl9YHBWtlCQ6+ZSXkussY7dtEV4hLodcFTVx4BDvvoBfBOQM+k1iUswIUhIXnnM/JkuKE79GvdNj53DIt28qDr/5PcYHu5yMlvzsn33KFx+/4vpmjXOGEHKkHJL8KbgluS/ICgdCcHW9j2GBVDVnhxYKEApIc6or6C9ANBD3FVQa8dwiTMJnmvMIutbk84yiHbEaWPww0HM7NPKCNs4pJmD3BPVQkC4yjC/RZMCcwaxmcL1kGgNFU1KIHvKmge8kbh4FxKMdeo8f8C17yPeHZ7jDGeuHFePeLrFZc/3sBeLt71DujNgZ9hGfveRm9Yqfzq8I611SPyHG8BcPHvJgN/L+e2sWVU4uPClZHnxvjzZp2miRN7s0suXCr3g4nxKygsmuJvkDklzSymv0+R4x65F9K+Mfi4ckWRN2X5IWLQgNeY/r3VO8t6TZCvHxHiZrKZ+c0fxPb7MsNE//9IbvnBScYPi7+0Ni77s4I1kpyeLLFcwdxbLln/3N/8xFnCLfkQTGpCbCanI7FmgEUe6ToiSbnzHdFWgR2FkFLnOFcIL9zz3tfgCj2Xu6zzSfYpXtgmdmRVSaabNDP5+Q5w5LF+Rs0Ux4QDa/IlMreiZwldasaeEose9aiiby5VBwXEZGdUR/CauUYU2OetdxIx21S+z8MjIbgCsz3lk9ZE8ESmGZyBec3fSYzEse/YMhvRRQwXGhFWMtGQXB01eJflqwL+a8eChIlwlxpQiLI2bhgivWXOwL4jTCzEOaU/pAYaGoFIOiYJTn+MWSFLoEH3VzTSsNrchp9hqWs5z2vERXE1zIsa6iLOesMUyjpohzkJKQGwxTnK+wbgT5giBhbQ2H7UvWjLDyCMQSGyQ2ZkRhyVPOwO2xyi1lkLw9M/B4zmSleT7r0dtr0dEglgPejw3L0LCIK1gLLCXLYsSfH0dEazhteoQnlir3HNeeYa/lRin+JkG6vgLX3dvBS0F0kolS3XyRe8TeipEZI9qMK5PR2h6RiBhYxJ5H12CuIvOiwMecdj3maO+CvrZMFjkPnKMXIuJ0ydNCcNOTXEqF2J8gPWQvM1btAcGX8AJ0doXQDdaeYMwlSqwolgvmYwdKsFNH5sWcZBoKV8ESmjoy3Wsw5GilyOc5batpgmDRc+Akqc25qXOy3KOyAG7OMLMMRo6rE8Huq7fpTQ45G54jzhz954nB2wIfBNHDwZUgREEjBZdHY1RrKeuW7znHy+OM+YOck2vNoqqZ91t2WFD0JJWRHJ9VuHceYP/0LZ4sLD71qEXFqv9Lap3RqB7v6CW7+RP2yg8o5I/493/1Jf/sX2wMr/MVlFOGU0GGRoqS0aua2W7JxYM+WbNgFRMTG0nFOcKOEJdHrN55TpY5qjhhGnYQIlEUDbreIWsbsvNrXgwv8X2B3JH4z95m7TUWR8xe4ZXj2lzhvOmkaL6CvIGyxY0dIi8xItKPl+xs1kSLNlKKGo/khkRynt4w8id/7vjpi0tefJb4q7NuPMpiYKdpOdsD1x8zOvgz9leOns8YiQHrUc3gSPIXB7t8ZnqsMsdoJ/G9Dyp01PxYBULxXQox5NvrHPl3r1iJKTFpVDNALSRv//SYs4cr3PGKt3fXmLbg3FV8FL6DGP8c2hv8v+pzqM/ZVQ5nv89N/4KVWnLq/oKk9sjzyIva8eFey3i05sc/v2C4SlRJIZZL4sNAe6h4+deadNPdsowc3bZI7wj2CE9BMpLd41NKl1CN4EmtiCnhdeJZ75q3LiUfnv12T6mvLd/LsuxrbwqFEBwMC0IEGyJr6zcsgXhrcB4jaL3ZTCSB2+xmtxHPzvxWonRG1esxGo1RdKnRV/WqA7E231nNFwTvSDEwyDrttY+JZeM2kkC52Td0MdcuM18XhZVK3hoMB+fvMUfiBpgSvLsHg1ySa8OXk8C8iSxs7NhdqTOJVqoz4e1kHt3GSinZASICslwjlOrqIjs6txQCrQVGyM4we5OJKgHWd7K+mBLReebLFdZ2IMi2jf+2y+8i37sFEjbv9TJNPzO0MWJdwPrQbSbYgHvbEHZ3hI4hJNWGURdf26wAGzPxTbRfdcbO3IIx3X1It1IROohgg4x296p7X4pOzhNC6ACpzXk7+dnGryYlUuqi/dtKJtExZDoGmAM6oCrPC3plDkBrPU8eHDDINSWe/+/PPmOyXN9ml0xsPdfuyi27416RbwAI26bqTN+7N32IG1ag2GQySxuvrLtkA0Z1fS5BJy8M6U6GunlGumdhWxlumRHA7SYd0YHKKUGWdfALgNtEEaSEfq9PCJ3Mp6lb9vuaUamYrhJLG2l9YqcSjEtFlUkmq7jJxJiY1Hfecffle78uC9+b5euCA1/FTLljkMh7n3VAUqY11geQW9ZU548VQ9wSb9jyMLYgyRYSTCKhN+PD9p6FlG7lutvkC/2y6K45JSbzFd5vPI3o7t+g0jgf74Fh3TnfvOQ7RlUiRXn7+TYwoATkWm2YeF1fkVJQGMWq9bQusnKJ7RQS3nj+oJMA7lSSfpGRa0UUksH+MabsMZsvWM6mONuSF31S6sZ3Q9x4iCmKouykgLJrJ5NlaK03YGvXJsNedVtxoTNq21K3LfPZFCFk57nX2FsmTVYUDEYDqn4P7wO2bvBtQ3BdVkofAyJtgKyNEb2RCq0UNrjOOyh1Jt9bMERLhcxyVJZjZ1Om0wlXN9e0tzjQ7wdK/bryu47tv+95hRAM+hXvvPWIx49OKIuc4CKzxZK6blgtFzR1Q2st8/WK4AI+RFpnb7PVbufODqQWtzLiGCM675i+WVZ0zCspUUpjtOqM1bUhM10GyCwzTG4mLJcr1qsV2hiyPGfvcJ9utoyk6HAu4V1gXdd3pvqbuTzG0CUuiY4QPT74DhiWCqnzzrA7etabdcG9Frx9lWlBrgVSdMlGfEhIJTvDcwGT1e+ffW+4P8A4T+Ycw6BYas1yY4vgS08oAkdnb6FMQFct391tuZ4NeHE94jp/Sm/QsjMKyNkDZnnLVW+BeGHY7Vcc7Q948fJzVkqyripUv0ZkEaXh7Wdw8OSIh3//fUbNPs+ftfzNjyd86+g51pRcqGMmV58Tp3PExYL+k3cpQkZ5DZ/oz3ExYlxB2+4glCOrJpTuoPN3ZEFsQfQ9+u2W9tnDjglweMqjFyC9ZNbL+F/+ueb4sCDf2eWf/tOa04sGZ+Z4DF5H3GBNtsxQoQPr40kgT4mDzxNZvxt/C5+hRkOyoWZ04lgGaETGMj9kZ5xTIFAva1ZPRjDIOHIeZy9xC8/8o4P/H3f/1SRLkmd5Yj+lRpwEvzxvkmLdVT0108MXEGAAkQUwDxDZ1xW84jPhK0AAEQgewJ6AGdldDHpI1/Q0LZrs8hvUw4mZKceDuUfETVKVxaanV1NuhoeHMTVTVdP/0XPOnxeXn3LVX3IlV7SbI3Sq8dWKeH8gNwF7Dbo3GCQHJ5llSGycoL84wNgBpQJkUKO6kMzWDNpm5vNEXBrCRtNHg8gVWhgePISrpWc9BOyHA0VHRE4c/TizaqCrJM31I4RyFNXT2Q3K7aP9HG3PyNNIbgTi9Qd862nmo8cR+ZnhRfG8wHF0vcHrKYOZUcQVlJEB0rUFKyxtthAixQ1k19O3M7ICIQu1qaCJ5Inn5I0YzbXJbOoDQiXxtUC8nZGzIUmNCucgNUVNOcwvmejI1GpQP0AcFMSjJWf/PiNiQ90eoH6YsK6n/XzBp61DCjgsmvowsMkbnq/PYfYdJmvLg089L4UnSo9RG/4nJ/+cYgw/za/4F/94wr1W0WwS/4f/9JLTxRWP0ls+M4bQC2YvCrkEIpKhTMiHjlInio7QPUB6SRMu6H2DKYXH5przch9XKaqHZzTTPbISXIYx4iq5Ig8f8OR8YNZliIYzdYanZy8UzovFYzgSDV0zsjX2H8/pX2+IywHKgD8QiKnifnvMxdmGzTCgHmTuM6FB81lcIJYaERXyuxLx6SHidEoi48uAEoUfHj+h0huSWfGn87d8517m/b2CeKv5+dLzYhU5OYUf/KDhg2/XfLYMLDaBxTry7BeaHBQyC+7POq5j4toX3u81q7ngeiaozs0WySv0dmCvb9gbGj7bu0RGjXUViEKIU2KcU9dviLEihJZ6dkEVA9UQ2dQ1oZoRmn2ehjUuDly7gdApykGGRxn7Asp+IX2QiKeRewvFt88tf/40Eb2kPjdM2p6QJEtXE+JsZFAWOP7ojBITm1PFD21mYmtke0Asgcsh8sn1wMH9gp1bzMEceWDIeWBYvOXlX5qR/LDfYc4fcywkf3xwzV9cHXNJYD19hn0yAa/xfy2QTyKtTDw9dQwCBgRLLINvKFljiqLoikoEnpS37BmBpHDlMm09Qe/V8Md7/PTPr1mcOxqVuGcO0Ghe+ivCvCdbSQkPmQxn7AXHD9Mh8yc1Zl6xzjMe/mCGfaj5CUs2H1/hrx3mwynDL+6hzhr+aPYZvc8UJXjv701QC4VwCv/+FF2P7y7/aYu9pzB7AjsUsrlPtlO6vb/h1M1ZdA2zT/6a+SrTDIJurnGNJ9WRPTkjHbXkg4pZWCNXGrFWlH6D63tCGJg8EoRmn1DtMVk8R0wnlHYOf3aBr6a42T7CT7mYBs6mjn/wEtTsiHx0TPvsv+NHP3vFv/qr19zznl4Jrq3GJMixJYY9clkjbEC2EbeqYObh/ho0TGLFYd/CxTWO0Yuw83OK8YjmmmbVUrzEe9jTGxCJIAtRzSgoBIWHj1qy8yxeXuFsg5AFIyJrN6MicV+v6IUgSMlgNRqHiZrJes75EYgSObpecakrHj25x3/7L/8J/XsCTEvTPaVc/QLvPdflHv75OVfrnj+Ljs3LK+J6jRiuyG3GysIjF3l1IulrhSwVk3VEx8xAIT4VTPcN/7w65k3zgF7s0fQz9ANJPZE87QXrRuMqoF0TLy5Zven57/61Zf+R4v6J4n/zvkUGR8qZi2rOmVb0ZB4sF8TVmsEHPt4/5r1nmb2LwE+rS05fvWC5ukB8O5PCESrO+H5zzTJPWHtL9eIZy5jZFMhogo4EFVHG83RQPAmS6T3JM5F5LTPfui+5PlVcvVG8Xi5/6Tzpd5997+4vO4xgt2KN2AYn4+rmLngT4pZ59M5xtohFCpGh7ykp4NzApttQ2Jkwj1mkdhIOn/KWRVJug/ctAHFjtgp3TraVq2wjd0HZAgbb4D0XzjfQh8xelXAhb7Oc5e1qusLo9qbmchuIWms4OTqkaRqkFIQUcDERU8K7QIxpG+yPx4MxywViZI+EOIIgKSXCNmNaLr95dqXfRfmNgp93iBJjliQXIoOPW9bNu8a8gl8CfN7RLsUYb77bgQF3A28p5Du7iBv9zg402zKDtqY/Od961uwy5e3a1w7MHLPe7bhd4++jFHOUFTrv6YaBYajYZYbrNy0yGnwJ5JK30qF38LN3Os1dktOWNzECBuIWYNr9pVAwWt14pvic2AqcbrbIuaCU2DJ45NZkfFwN3wEFI+a0C+u5c0FfzViScgR9d0yqUa4m8btnUkZAMKVMimkEZ4vAJzAKGiMwCvZqQWPHz4g7zMJda7kDRH1Vm/iS79VvwVT5Zf1q9xykEBh906BGaZDYMjVuWBS3DCLBbXICcee/2348snZ20uExcBc3bUBs93ynzl94QuOJ7mbI2+0idpc5sqJu6rn9927lxo+5bP3B3mVJCSFoKovRemQZwQjSKcnBRLHXVFRGERE0B3NUPaHShkYrvHOYqt166WUqOUoXpRBoY0mFG4ltFuBTIsZdn2ILHowXaesGl0ZAO6aCEAmRxwx0N+w/J2Cj8HkE7pL3RO9JccwIlEpCbG/I2JV2RvuSsJVYp5wRUm37+NZnSvUIpcjDmH1PSQk5UcoXOvCde/bbGJl/Xfldjv8jEymyXK25vF7SuhotNakUpNZMZzOauiHGSD1pSXEE73vvuNvUbtvt2L4LkGLExUDKGdd3VMYilKKkRO+2vCCpMFqjtcIYw3q9Zhh6QozbBSdFivEG+JJSYs0IbCHE9p2YR/+3rTy2HwZKjuSSRplNHq9SVQ0lDCRfKGXHIRd3ft7231Igcysn3PnF5d/wee5K6idYMaBVgZgwKdEIwbqdkkngIkk6siokXTAHmqwk61TIA8RY6PuMCRFfB0Lt0aVCh8ys39AmECVjvKPPI2ukUYUUEtfrRHqbmC4XXL3uKZdXnMVTBtlyhmGTBHrQtFKyzhuG4OmdokiwpTApnlCv0Wj23AF+IiE7qq5nVSaQNHrwTLyjyIR3CjfN5CDYeMHPXhYWLnKfniwHpEkMuaGUSDNRfPDhPVZrRQwFssMfSKba8K2TPY6twQpJSYoymYARCD1gxJoliXM5MBRH8gK/lPhXK0QtUGGgcxf068TVS4sXGwQD2meEiEjjmE0dm1TwnSIOguQ1CUEMcZznIbAmIHNBJUGT0ijzEZKUKkzZIEsgR0PJo2S79pFIQ9GW5NaIGNE50q49pRYUqXHzQJSCLBVp6inFUQiUdsx4mVIk64zQGTQEoZEe6k5wodYsNwOrzUD0nqDBxcxMrhB5tIdYuwRULEabf1Qs6AguQIkB8kAYArGO+EmALpEdBC8ZbCTqLbtn1WOSpEKxpKcokPoa1Z/SK8Gyqij16zHToItcDRtktDQ+oF5ntHfUl0su1gmBZMiaeQx0pedqHZDpitgrGuc56yqcGBDNJT/TzxFK88pfsvH3WSB59WwFm0gTNTo3TNRAzIU6a3olyFoQ2oTGI2OiVKCkQ0hFkhKxl5BIyrCH8QVigFA4NhqjJawEnkwoCRc6HB6hM9IGvEkEMnE5Lq4LBcNBhd1kZJ/wa40LNSlL9uOAGTTJGNaHEWf8OBYJhdMCVSTTjSB4QSwCLz12r0MUybCusC5Qp8j10jM1Pdr0PKwqxCJw7SPf2jd0FkwteOgyD6aFaRVHYKIzdGtBGjK1TLQm0hZG024FWWRykiQvcKICIiTHJArqIpFCQxJknUkmUlYVUFBqwCSFzhlLTyQjisIUS9KRIj0q9WNcs01uFUxEoDB9hWgVpR4Xdw9TYM8k7LGnmRb6IHBp1Ngnp8n9mPWx6ASNo4t5tDSZZ4zLlAzX2dCWDkkEIzG+R68SOStm7ZQYM91ppvSSEiVsWlIVyVKikmGSPVFEtBxrk0pBlQoZClpmqizYTCVJaOR6gm4VOUvyRiCiR4lAqwsuF7IGDqFfKxgkMg3UITIPhYGKwURqk3nYaOzBHF1pdLC0cc5MZL41P2RvVmOsYeUb7s0PMNOKpCYsnhi6o5788IjiHmDahnttJrkOZGL/5GTMDtcVmK8ROZGC4HKSqa97zGWgH1qYXlMmDtdFLlRglTTdWYvoPDokXqoa7cFuMm+mC+K5Jy1bWl2QVwPyKmHLCu9Hb+Wr7PCzDa6FetHB+ZidsLxa4PWArwdsnrJqAovG8bNFhqtr4sVbHr28YnWeUGnCkDXejNlZRQBFRKiezSRQ58RsyHTZImJGDrBuoeRETAHSuNiqRUbUjiIFJU3JW5ljoCKkjBQBSqQRI+s6iRq1iaiQaJEkG8mmkExEpAQJYlb4KAhaEqwipgqSQYsaHTekEhmyJRXLpiv84vMrZKMwe5H9akU1l5RSoyrLoXjEZD0Qumesqn2Ca4nZkJDIDDMHTZuJSkJoMW2HLJ6SA0OKqEViMK+RzYRKGuY9nJaeSxsoG0GwkmgEromI5YL+ciBf1xirsEXj9ie0jaJuJAd7A0HuY7BoE9BWYkLi/oMDpmrA7g/cV3Oq+j3W6yPEB471tSH3mocPMvl0yubc0MealAaEiJjao3OkThlZJlQpQc6cuoZF5RiUQ1xB6KH7BvPXbwxKfWPpzHaTLLhJT3+zKim4ZaCI0SxciowWcuvhUMYMN+Um9if7SApr+m49BhJSILUiDOHGYBmxo9gLhjier+TttkKg5WhyKqRAKEGMaRuobafQBUrOyK2+dgSlxmAxl8LpemRNVTIR4s5jAmyjaZuWw/0jnHNbNkGGnNmbz/hHf/+HfPjB+yhjePn2LW8ur7herjk/PWO9WuGcw7mIcwNhOwnaZTi6G+iIm1X9vz1A6ndTyo1h8I6lwN0AmfGL3cr7XRnXOwCC/BoK4DsH2oID5avb7q/l27I7/B1Q7J3T3gBZY4Dt+v7mb5dWs9KSjR9wcQTickmUIt8JZXeHVHILipaRMn4LNMgty4ubYCmlgjWjzEmGSHBbM/E0ZmkqZfQuU1tpkpKSEAM5Z5rKkre6+hv2HSOLZpdx8G79dj/FluWSZSKlsmX7KaSQdMN4lCIEwQd8CMQUaWuLz4LUFw5qaOworz1otgBsKoQ8AsAh53cAkR1L6vddviid2kksd7IaIcSY0Y3xmmMZAcFSCilnfNoFrVugfXfcbV3klhGatmOKVluQSym2yr+t5GycdIWQ3r2e7fFSLMRUSOW2fX+5Mnd2YATPRmznDpBWRqYXYgTOdsbiQyg3GRDldgxXUnIwn7I3nVLbClUKk1rRGMl0YphZi9UKnwu5mpJVxayZsj+ZjW1AqFFqnTO1VlsZ1ZgAo3eBECKdc3T9QO/86G0TttneuM3S1jS3mS+j8zfjZN76Fe36ecr5nef2pXWI7T3agWGUuy6I4mtu6lgaYzBqa9Jddq5Dvzlb77cpv805dvtuup5ffPqMT1++xtqKvb09JpMJbVNzfHDA/KDBKMUuP0nOI/iuxE6iWmhvAEu1ZSFnum7D69dvuLpe8uZ6ydSMDKkYAudX12yGAf8V7DuxBStD0HjvKCVhjUVrQ10p7FZOOJm223mFoG3rUeJZYLG+RpbRKDYEhwthZDtVLW6zZFgXSunGXvpVr9OyBWfLyJJKGczWX+q3xQNDOMLORhPW/nVPlRItsJgfwBL0VWDZnJMmGvYq2vtzykxzVWeqT8AtC/E8EdoFqS2AxPsppR+ors84zBCAuAy8yJbJLHMiEm9Wmdedoz+7prQdx0Xw4Z7i7VlmGTesymtEO6VIS6gqbHVGEILOGFQavUROQmB9ckkdD3i0eMrPny7IQ8/ejz0bpuRBUV4aHoRrooBXZ5b1B56SBOVF4U9+omnayHuLFwRdUNOacHGPnDfca1v+5X/1bX7UBxZ+oLgL3LLmeO+If/Yv/iF/5GbUQvJ25nGXic155NmfryiTz+j0Kc/SJ5x94ihvJYuPD7F2QyU9s2FgYy1O1gzDFU/2BmY6kq8hVD2lcRyfBDgz5LWm6wwIQZCFs9OCN45iIvsnC8LSQic5DIErY/BS4/2MAxOZlsjr8zFjoSQzo2ctpvhiGN4OCJtodeHhK4gzjZtqXj1MZG8QQeMnF5R1pvQg9/cwIiLjFZ3uaYWgyZplSdTOstcrfvKHz9k8Az6T9FVFaAfSdMVhL1EOioMhVDg7Jdh9hDS4vKGkJXJ2DGVBiSsO1jPiRkGA4UkhdZJwYcbG6irk5hBrXzITjsMYeVVZUpWRjcd6CCjOC9B/RlrX+BdzuL9A5ciwfgE/vtNpeohRcDYY7r3RoBOysnB+wcZEPtnzDP7puEihHH8Wf4RyCrmuuVxMuHaJP/9/f0ptp1SVYtibc+AiJXiSCGxMRZqCfK+j/llCbgppIqlnlxAU3XmFea/HyJry8fscxc/Joef6dcO39i1zBO1zwyWOFZ5L3nAx8aRJQtYCtEBGwcJViFIwbaL7I8n9v55hz+CTNwO4GVVOzM0C61oihp89WJBE2s7h4aLJrHLiu38DpwoWdSEvMrOjJe2DDZuP95kvVkw2nl8MNSfDghPd8/f2H/Lxs46fJ/iH/6sDDg4GKD0He5GuzayWmfTzY66vKt6sNL4sOWw77tsMWaC2iycbXUhBYpcVvdijyAVCOL6zVCSp6bQdkyY3mTCJ5Kt9tAhYc0k7tOgyoMQVL1rI/RztDgjtC0RcY1eOS27n9Uw6lNvHfH4f+QdQdIbzxAduoG17OF5zDFznwtUsskozykVDuZxSSoDGIx9viK8kps5UjyP+M7j0kh9T8c9sN0rHzRG171CbnvCs5/3Gs3aCT39iSKVQsIjFHurxW7IQXFycMM1nNLaQ6hmfpjVDTFghKNdjIqFs4Po9gysNs786RD/oCTKz/kwzyW9pxEBtNM+GhNdw8i3FZz+VrFxCn1/wQSrsC8tP/CFv7Iq5zvwvHh7y/sk+B3VF4yJVfYCZG9QPZ9RXEr0U5LcS0oRy3fDD6pizhy2LZuBCn7CnT5g8arHMqfs3yNRxXX/Axgp6N7Ba/gnxfMNmFfl3kz0O/+IVzSdX/GV5Sr1nsVPFIAPpwJAbg/izOd/NHQ9kx/93pnnc9xzHFX/2vU8IbwzlbcP+0TF9t8H3Kz6crPBmn17NGYZz4lEmHkD1iSAMEu8V7SQQw/ZzG5BynEP/p/2eEgvCFf5Jd8Amz7D5hNMykM01zC85WEJVPNqueP6eYLJUPHip2YgGMWT0W8HHh3mM8TcJpMHKSCs9m71A8XNYPAJeI4RGygkrDEp5qmrD4eAopaLjkHj5DE1kTxqGxtO3BTeTWO8pXnKOpY+aLEG2Gc7n6GDRoma2vKArmTccgDcMp4H/67/6E5oXU9oHDYff/pj79QmTpqFuHU8/+iMeJsH316fE6jtEWxOmjq5ocjboOGd/4amGjAwCcXwF1Ybsl1z/+8ji9YKfDH/CB2FNpQ06veWnH3/KJ+sFP3tl0cOASJnQjqqCXAShs8ihI54W/t3zR3z4h/ucPGmYNpnaFrw9ZHF/j3a2RxUlT/b3EPfOAM+jK8sHH3wf7feZzDY8Wzznoj/n6ZNjrv9dxYuPBW+GOXUONHKDORJUK7Cdpm2PacuKUjr+4uyAdHCNko7V5wUv+UaI0zeW7xljvtEkeLfJ4cwSc8GHjAujzEQrtkZvd7Yd46Ktv8x2Zfxm9X8MzuXWH2LM/F2gbGUzpZDSNpDfMhnSdnWLImjsOMAoKZDGkkvGhYBzacxYtmVuFd4FLnbSKrmVQjXWYK2lnUyZTrcT9r0ZqZ7gU2G1WvP808/YrNekFNF69IWyTc2Tp09RWvH21WvW6zXeB6IPW5ZNvglkb5kNX8/++M8R6PwuyjvyvS3rYlJpWqMZQqD3cWwTIwryn+WaftfSmi+ybL7Il9i1p8dHeygl2TiH28pffEw7ft5u65v7JEW+YXrtZEywlbKpEZRKMd+ACJVRGDWyoMYAbAvqCIE1locnR2y6Dh/G1d7ppEYKwdvLFWEbfJEjI9PsXfPqnQRyvAZxI98zWhHCyDyxdmQ0CCEYBo9WBqXUNm17IOdEbQ1aSSoluTcZOYgpw8olXASfxoF0zJIIPrwLEH3T5/e7eMZfJd8rFKxSTCqDT2H7nRhXV4FcxkyON31562M3ApC3z0/kLX9qy3bb+RvtMpumnCk5bSV3EOIoq9tJ2aQU2wyd4/iB2LEDBQLJTTa97fj5xTqVcvu1EqNJvRIjELljGsZUtu1iO1bnQlNbfvDRB6QyykS7YaAwgkA5jyDQaGKdx0WI7Xcl71gn45i9a0diy9Ar5RZgvfvzHRqYuGWH3WTfQ5BzurPZ1yyY3OBM7wJHdwHD3b39VWV3hGllxntG4XoIN33lP1f5dfvE15WvYgmK3cLNDnzeekjdmOFv5XlaK4y2N7I7szWBn85mKK1JMXF5cU7wbgsYwv7eHpNJy/7BmH1mZD93W2ZsZtP1rDcb+n5g2W2IcZS1IsTNM5dyew1bQGn882hCL7Ys55QSWhuUVlhtxr4mBNpWROcIbuD6evmVUKKUYgRfZy1NVUEZMwyGlBmcx7nA6/Pr3/ieW/sDjFli7Aq/OUKrDmPWrO5VlGuNWBgePumRvUesPI8bzdt9wef748RfRBA5cxgjm8mUq/k+9nKBzRErEt3EIaLEDIagBTnXkFtO3DX9PHF5H8yZRoQWWebsffSctPL0nxQemgPA4IrkUgVKcei0Zv7DB2RZ6JYrfrg8obOJvzq6pLyV5I0irQyHLElCcsGEaTUmCNl4Qz3zoCIDnsfrfR60FT/4dsP1P3jCpG75wwvDLx78IZEpJ5eRv/y3/xfeXL3ghZKYDyeISsKy55/8i/+KA2o2/4+f8pPecOUFYcjkey9IekNcCI42LSpK3tIhRKYqgsfOjNkMRcFnwbJKDEqyCfsYucYIxyz1lLRPUA2XTyqQVyA6ZCmohUL2EiXB25E1oc9nJDEyY61douX4Lt8MJ2i9QskBP8yZH3c0U8f1262TmchE1UM4QuUpJ80LFnnCqjTUakVwDTFWlL23yH4fGeaUD99g1gW9lHTrKU8en/DovQM+tX+NexWIr8Y+7JMkZE19b85ss2J2fcVVgWgs0dbYwaFKQoiCe/QErzyhbJicZWJQ+Ghoph0xCPygqOvINBf2YkGIwCAlS63YTD0yS4zTqAgxN7i4j7Xn5Lz1HVOOKQP3ypJza4l3FhCjkAzKoFmjCpg0AmDJRvy+h9fvI1PBVKf4mcMoyTxX/C8Pj2kaxZsm8WfPz1kNHiMhXD8gO0OOnkYYMAHfXiA95CgYkmY63SDQbFaPKaajsp7Hez0XVaAPlvzyCX80PWe+71l8r6L8+UC8jqxOAnNtOKxm/PHBP+Dz5qds9DWTMudeM6cfDP/H/59DDWBS5IBz1qbgZcGIQGxnJFXj1woqgTWJD9UL3oR9ulLxB/O3LC8K643hcv4+3yuW41L4UX7OQXvMtJlwffAM/zaSrgrGaOyTyPQk818niz6eEeY1f3Z2zdV5x+baY+sTVueRzVVgMumohozxgrPvvM+0LJiGK56t5sS1pWzMdq7nkQx8mw0rJlwwI4jATBn2pGY9vCEayEYjiyCnCSlOOFTPiFIyyJqgw5iIwUVW4j5T4TgWK97yAF0sk6IIkxccHxQ+uKf46y5QWcm9mebyb3qSzwgl+OQAUpboXoK5x9R7TtYXvBaGRhTeE5GPJ5k+a0rf0ohAkomVjDx6ANpXhNf7HMo1vfF8OnHM3oJOFlnvsZ8XVMVi0iN4+IJeet5cVRwmh0qZYYClPCJJga6WeCuosuLhqiG0azoTeGkEQkdkyZiucNQ/oqkt+oeXvPibKdnDH/zwjOdvMqvlyNASe4kHs5r//ZPv4z+yhBn03Zry6ZJwFXjDlM8vDrjcaJx7yYFqqGXB8RkLaemsIj/qkWuJ7CVNtMxcj02Ri3bG0CtCgGqypKTR43ZxHKkuwFzDgCEmgyiae0JSqx6pPC9zjSFjS2YaEzZnBJlnM8HczZm5lmvxmvU84eaFb9kMC0VcSN4aRTiEuAf8/B5NXNGw5OrhfbLqKGVJc2URZRwr+6MeDEgjmBlNdbFH9foQVXo627Oq1hyvB4YyYSH2idZiRUfDkoxhnFRHllVPUTOUvEe+vEITqKtINztBpITp1ggiuc74/YI91RSdiXsO8bJBJYmpBFIESpOIRwl5rlFOY2PNoAaiKfiJoCQ3+oJ5SziOyCRpziyFQEiK3rdUlQMUMe4hbEJMPPrJgqMzhYyW6+aQI9djGRNlaJ+pazj+liQ+h+ynlP0/gskesyPDP/7HgRfNlC456rc/Iv91xF8o3qg9Pvh7x8wfNriDwqS/R+U09fpTeL4mX0U2G8ti/oy36ZL/148CTfTUOTLxkTytKZXFR4sRHikzoW1oXUCRuHqi0BuB6gWkzOMkOBKK8OCQ/iiT9wo/MIY/O3f8+Hyg//g1qt9DhZZqck4zn1HXLQfPF9z/fs3Rd1vs8oD22FDvaa4+mfD5MvBs7fnZj/71L50n/VpMqV+njMEUd4Jctiv1wBjSjF8xcgt2bIG78qTx93GLUkY20xj9b1PS5x2AVLY+TlCUGMlK42Y3q6laSkoqY/rqO1nLdmyqMduQQkqF1jvfC4k2Y4YhrTRVVWGsRmqNT5l+0zH4yPL6GucGYoykPMpOQkx0ziH1K6RUbJbLGzZVybd35S4Q9lXB0W8jA/nbLr/KuPerOQa/n/K7lj1+CTz8ir8XxqyLZduGd9Kp24rf7jVmspM3SpLdJjdb3Gy/BbPKtu1vmSE7Zo9gBEmkGKVW1hjEZDKy+FJmNqnGQPxysZUEjiffsf9S5ka+CHee4Z2a3rCXdmzGkm+uR8ox856VCkchxFHGp+XIcBFKQE5QEiGBiyMdWMmxz+7GBXETjN4CB19sT79ZNr1fr9ytfd5Ku3ZH3wGDN1nDbgYVvnQdt5/HZ5jL7SMV2wxjd/27do96O9zdlPzuiMquLZQv/H7zm7i9JCEEegv2yy2Daqfl2+2i1fgQZS4MWz88SqEfBoYQx3HN+5s2kLaZRFPJ5DQyj0q5U48RdkDsmF18oUJfKuKda36HNZvSDSiRy7vG3l/K6rfb6W5nuv3mVrh1lxn3y0q5zS54s+k75/n9ld80s97d8iu92Mr2rZx2QOxXj3FCjmCVUiMzShs1/tSaVdfd+PGtlkt2xnNSSKSS+BhGvy7EDX5qrUEpiTQV7WRKjJFD1+N8vDG1z2nHAI3bpAqjd9QNYzTefi4UlApIpfBac+Mj6Pxoqh7jzbzktlZjyRlCzLiQ0XqbiVIokBKhCtL8Wo/hy8+gXpJkDyUiKOhSMCVDGiilAhTOWWSMiBIpTiIcKA+gRy8SqxgGTzARcMzqRAqFLglSBaIW5FZSu0R0icGlMcNfSmOK7SGRJAyN5IGqCVaw2evou0xb4ADDdePwIhOLIPiErAT1fgXtnBAdw+YCuy6QMnEWEVWiVTDVYOT9UeZawz4FUWWGQ0/VNxxZy8lxg753jMg1y7eCRXH0zrP87JLl2QK37EhKwUyRdaG7WPHzT1+xZyw2vuHy0rIKEjMXyOUGWRyiq8hulArpeUtkQ0wJ5ywiJ7JMDJPCYFsGUZG9IuUaUTSdH9tfERmGQpEjwK+yR0aFQBGMhTogRUTiKUJulQCCjEWgkDJiS0SXzDBXFGnBQcwGqggmoHtQKaCTIwVFyQaRDapkTM6QC11XU2KFyBq7ydS9wnhDjyYYx6a6orsKRB8ppqCCwqaMTYm+GPpSo3JLKAFJoZEDoTKYUGiCJ7geYRkzJRUBWTJkRZCjR43cekomBEORKJnIRqFrjSxxnNPYTLSQQyTTkSeREkGlAcgUkenVKG8WpVCkRKaENnJcpR/GQFVUkdZBShI3zLCNQ8WI8RkfC0lkgklcxTV9qen2pnCaET4SvEIKh9CZWAohC0w0zPsZE+HIJnE1yxAlMWhKMYgAWiQmeM4MRDI2dyxcoN8k3CpTTIVoNLXzSN1S5AGYIx7Mj0nWYNyc49mEwRSeqCsuDiCUTD4DLTXFCFyqsKlgcJRaIVVLhURtwPpAEIXFIQxIfJHIZsAtI+uhIEyCCXAkmc8taVWIq8D14DgwcG9PILzE6cQQHWJREFeFvIDrmcZrTzkcaPtIjJZVqolkss+UodA0ieAlobOEHEBnismsVGFTAiH1ICx5m4wJVcYsqqLgTRylnyXiDcSicLkCXyHLQJYZYT2aTIWmOEsWEFWHtxpypF4GtI0Io8hKMniJGKAWGVVJssxkGRC2I5bIIDNtzmgNqxbQhcZLmmgIeKSQ7KuWwXWUFInKoXtPkImyp0nrgHaROg/4UBMxCDmQZcLpQj+NiMuCCIXeZnKOZKnwRZL6mqgUmwNFM1TYqGCWuTeBWiRKVZik0St4WRXmOtCkwpGV+ImhToLrlSP7huAtn+gFm7cN/kwhnCO8WuGvHVch8apLXHuJEhf0GGSG6B0FT7KFru7J6wwDtKFllTymJOTGsTYSJwWHl1tlksw0Im6fsUapSNGJVAQuW9AgtQI/4Cw4DfoikURE6EQ2lpQiMXpSTqiUqHxBTMZ3qciS3GayKOReILIhSUlQEZEiVmaMFKRUUUggI9ppshizGc5TpimCSmiWMlCIiCjoa8EQwXuBdWpMTqMSrk5QBCpJplEQEwwyk1VElkidCt6Pc4Qcx4V7nQuV80QERWSUyDAdMYAgHUILclWIMmPqgkgZsQ40VSKJAg6SBC1gqiPXNlFiJghJzgZRFHMhSVUBIlUYGHwhC088j/TnoEKgmEsWaUMRGW8MYkhYW+gNlLeFHAZK9znhYJ8mGpqfDpzqKUMK2KtLymUk9oql1sg3MHEGfwmP8oSDMmWSJ+SmRht4kAz1IVj2+WdLhxIJISIhr5BOwBaoz3lFKgPX6Rq8IPpCuOzoN5rcKxgMRkScggFN6QXqSvCxyFy5juwGRFWPHsbBI0sm+4BnYE2kjYFqCEjdEDDEqGgyHE4gzn71XPZ37im1K7uYYRc45yzIN8DLyATYBemFMSAV2xXonYLiJogHSrmVGe2kSDCaDJdt4KK2mZJiGSeXPmVEEUgkllGu4ly8kRMKIbDKUlnDpK0xdU1lKybthNmkxViDqi0+j1482XvW6xWLzcDL03OWyxXOeYJzKCW3cIG49TsCTl++QkpJ27YjM2HrIbP7dzdr0i9jRf1dBaZ2Zcd2uAs2/I+57J5XSJGyNbW/xXq2jJHdthSUkswafcMy6f3Yhm7v1djIRbntW7tFyFJGls0OCM65bE3NJTHD3t4e1mhKTFgjCd6NEgEEmVHamm+YiuXGtD/EL2f0GiWBaRu0gtgakeeSkYotm0twMJ2y7gSbvjD4gNUghB4DjuxIJd6MBbkURNlKfsvdPv/VINTvsy98iTmzPVcuo7QwlR0TTeK38uG8lZlxM2aJm33uXvvtU9+C7CNCg0v+Tp12TBW2Usrb7cZgeneDbj3Uym7AvHtbityOrfnmfmoErRGo7e8+l60HmSAzAv21VtQoQir0W9+3mBPPXr9m8FuJ8e5Kxc6P7+4dFHf+f3N1NxsJ+JL89uv8wr40Bm6fR+Grt3/3iy99+OIOd2R9v8Sz7A6Ytmun7N5LYpc19atP8bdVftViwFeWbX120tNb8O2mM96+s2Lasn1/VcVv7/HF5TZtixiBclNVzOd77B+McsH9+T778xltU2GMxjlHDIEcPK4f8N4zDBuW6w3rbmCx2oyLQDESQ8DHrdcjhZxGzyj3tZe1ZUHe3rCb31abnt5F2taP4JvWSDVarRf1W6JS+2+IsZCCYL+smCZHUwKLWMhZUYrg4rSh1AE5Kfw9ZeiFoOrGtpdaRTgynG06EBuk6DiRLV0vcJvCxAjCTDDMBbO3Hr9K5BQQziEHiT23mL5D7HnCyYaD9RNWytE/dTz7WeFxFHxkNC/f6xh0ZPCa+GrF/tzy+HtTTh/ucf3Sk//VClE8TB3ywQJ3ojhuBf9okkibH6CnE9rvrHm6aNETSf8Hmb8moGPhaJCIMOHNK83/88eCF5f/kaE/Rf3FS6bDMIIXMRKeC4pUVFg++Y+fU+/BR3+4olopdC+Zf6CoPomEteQzI3BliVIWO/82Tjwj+J7La0Uujqgj62OJqKcQW7hYE5mShMZJsPoCITbklwAaUWoaBlJViLUkHMyx9hKbeqaiGzNKSUPfT9DWYrWg2Atm3mMzrB4l4umU/sziAQ426NmGB78QWNYIueFlqfCpQoQKnQfmMtHKyMv+ZMweSWb2IjAXilpWXMk9ir0iVs/oXjmyEIhG0MSGiQi0DLxIhSG3BCxerJnrjnkz8KJ+gl2taBfnXK9WlIlFTCoOwh6rVNjIQJgHtBfUW5B9XWquypRaXzJtBQd7hnBacDYQDvyINztHUdeEE4XqNXYrOQ8KXmnLfNGN8/GqQnuPEgVpBBdXM6JNlKOO+2cQ/JR1eED76AXGD4jnmc1Q8AKuW8+nlcdWc7rqHhOj0EiuNhX7swtKgcWmYhgOkbnmQbjHU32GmHZ8/r2el78wuMECAmMCrfYcOcXLNqGKZ55fcFEqYqfhzz3+3gH2QPDtz9aszBF9e5+f0vLD+ROOm2OGVxNqUaiqFf/s8Sn/4UDwKilW5xMmpsVay2oQPOreMtUrXnyvYJb3MauGYVWoygo0PM+CXGpQmubxK85C4mJVKKYlHXakp4LjcsB0comyA3+9DjwSmqeNQT6asO46lssFTz8zTFeFi07xl5cT8vsO/Tgx+1PBWZxzKfeZdmf4RcfiOvPgB2u6ULHqLNdDhibC3oa3laCEAYIDeYAbBq47z90QMbQB5VcYMXC5lyldg7g+AiCrNaVOmPkVplhUmhKCwomOUF3h752MPmifXzD/rkCYTNaBS6vRPqFDxiwN0WS8SYj2El/DtYTvn0eGVvCL7wreeyWY+YpZPGFZNoChEY/5i/OP6eQAasAiKNqiDqds+iV5mdi/XPGSpwQJlT1lcIGiM/I9iOvRfuG0LdRxgyqjyWlKe2xsRfdB5MOPp+hQEFXijw4ueVR5yPBmkzkrgdNJ4I+t534RNK3kQd5jg+DffP6aPtzjMln+z+WnDP/hAHna8BjBplwSS08tBzp7hraJh63jZcwsg0aE93gsLmjEhk9gO+8Y++eqAikK31950j1BnsHxTw1DingSjYPTLFmiaduAaBzFJs58Rsz3kE1L9ewNaVqIU8Gri5ap7mibSDgOXF+v2aQeMNgeJpuAOBAkURFoCEeXxD5RrkYQfzDQVZnJ6pqZEUyt5bWfUqRDmA1macf3eQz8gZdYZ0l6wnP1AkcEARd7kLsIvqMtiiYG6uRZ7UNJCtVbHgbFOkZexWvE/oY6Zo46gReXDLnC+5a6XtF0kaNreF2BUNA60PehS5mLjUfMBWQo60LYD2A8ZrHhOCpKBLPJdHWNreFoz9EJgc9jEo4QapqseSLh9VRCcRyt3nBhLQ4Fl5Yc9zAl8yi85dRWOGURQCcaOi8YXvot1hEpm1/gTA2d4OVfde9MGfzUk0wGzvn8mUSFcUZ2vz7luDrhu7MT4vcPqB7W/PGRZHp8wkTDP58E0sHo6/jp5IyjzzZMLh2xKbxOa87cik9ffkr3fIa7NGiec14nVrJQVhPeGsG5KAyXmfqNx8TMzwUYO6CtIx4+oDTniHJBc1VI1z3OCzZti3+7YrHe8OrB96jXmT018D97dcXxB4WjD3/1NOkby/d2EpNfVbYKDaa1vWFx+HgnY5wASqaQxxTc5e6ccBvA3WGV7Mywc/7iUne+NebdBj5CQGMNhXH1Phdxw3yaVHb0vlEGU9UINfpLVXWD0ZpKalwKpJQJMZJC2Jpye/rejauxMW4D8EK543WzkzfsAJcbJkkpW7mDpp1MiDGSUxp/3vFAub13X/8o/i6BUl8CnsQogWyMwsfA4CODT1/LDvsfQxnBoczDk32O51Oe3j/hz37+MVerNT5mhBhlpZUS9CEjgMaO3kw5F4aYSHcwoZ2RsFZb9lUpCDFKaUAQYkCL0dPFaMW8bUdzYa1JBarK8t0P3+fjTz7l/PKc5XqF2vatkKBtarSULFcbkJKCIKbyThsfpT23oDEI6sYQfRxlsyUza2pqa4gx42MkpEgsGaM0Wipi9CjBjQSqFDFqoEu+YTeOVjPvtotdv/pm9/637yvvZt8DvTVZjmWU6e2co0pha+y5zR66I7ttMaLdc2P33Tvj3W6bLXvpxtB5zPQ3+DCafod8MxYaI7dyuTvH+Irq3mZrHP3wlBA0SlGbHZhZWLlMTLcLA4KRBQOj99W69+O+UtAYPcr6tswo4F0m329QfhkL9PfNEP0mMri7oNTOcL22CiVGYG/ttxLC3/PQ/LVM019xf34Tqd/XMcdu9v8Ci+odRtWd99ldRtzdY42g5BZ4lXpkT8pd5tJqy1LWaK1RWlFZgzYarQ3T6YTKGLSUuCGg1JhFUpbxHyWzWq/p3MDgPTmM7/IQI4MbyFsGX/DhlpW4HRsra7DWsO4dm2FkNEsht6B7ud03/ObZ90z7bYpdIKoFR60m5AlDbomzM5qrQnMmR08oIymV4p/On7AelpxuzrlUlqTEyAQv6eZePhwC66pwPinUvSXNCuEwoy6OmW0cB6slVyczXFUxVBX35AonHAs5MH/dkhN4IniJiBoVKtx3J+jc0V6cEpeA0sh5wx+ffAtbavp1od1/QHNfMPuDDa/FU4zQPFGew88tpMh6uuIyeN5uHH/9ZsnQrlDDmv1np6QiGaLlYjNlai4pTWF1fx/7aoEWDvt+ZHhuKauCco7+Ww2zo4p/em/GXz0fuFoo8vk9xNFnVAQevnwE995QdCCeHvEaSyLxgXjNq3DMKluiWiAOI1IXqksNbDP2ArPYo3PiyjYo5xA5UWpDnu2DrSjrBUJEkInQjoa6FIk+b9BTEI2gk4rJZYPpNZcPL5FXLaI3pPsXiMm4YNN+rpg1kbrKvL2uyEVRhEDcX1MCCC945A2XpbDIgnp1wDE9+7LjE9vwnpE8qSUf/4EmXm6I5z3n8yfsLVfsXy/47InFLgrtWWEi5jgT2NSezSMwa2gu4F4JLBrN6dQyu5TUQVJHxcVkQ6Yg8+69JyhF4ucd1mcmaxhMhSqZKns2tsIniR800h6gpceIJf6wJgtFCZLH50tSySytxPQ9qdH09+boC08OY/ufqAVNScwjvFZzkshYsaabO0BgB8s/fFjx/tEe33//Q/7Ny7/ms7cdP/mpZfpgxZ7NvB80f3VxwKDg6MkKrxPKZ2avIxdUuKIpRSNERIlMJWGQBZMLjzYe8fQ+zhhevbrAP8hYmfn2J5Enf/SIveMT5nyHZQd6IvnH/+uan3z8Ka/evuHzZx9z9Tqz3hSuask/OnzCgW75Hz59xYf1QKsj/5GAqCxGSI4uPH02RKNpvt3gn08JG4v/n0bSZ+eUN2uq1HDwxw2zRzXt/2cfc2+D2Ntw/voCNxfkSvD0meICSScE/3St+aRkXpbMkzDlzQPD2YFg+skluHHBvvvDlrLqKdcdykKlNUZWXL95gtQrtF2AgBhqYqip6jWyZEQuHDg3LkQKwaoxpGkhzRLZTFFLMBeFE+fpporLQwv9HBsclV+zHt4jVyuYvqKs7mFmnvbBNfdlwXeS5aXB9VCHmr0w58X9c8JUIqYNeXWB7At2ZZkdHhGE4ToIvrs5o3ERHHz2/iijsqcNCztm9KqS5ckQSEcT3vzDx9SbC8SVI/7Cs/FHMEnUH50jPgkYXzOZPSIsXhGyZ9NYYhPJyoA4wqx7TAxMcIQHgnZe852DBzzdXNMKTz5K/PmP9jlfZXjwkroWSGOIzT2mywVx4/j5mSBjyMIS9CHmKGHrwIFfcDH0DD5RrxuyGPtcCjVytgKd6M9OMMKMiTEm53jpR3+yLMCNbNNq7yUkjUgK6wTOS0IBdbKhXlWY3tI3CZMcOkUqJMsjRTeVTD/1pMoQrWW4bpH7G9SsQ69r6iFhfWJdVaT9SJlH2lgoSwsrwyE9a6lYCQXJEmtHqgaeXijUdoH5TLX4XJFijREVqS2UaeLvL96QzZxNc8yn7hfgK6zbYzN/zYyKo7THq1WkKZ5D4Xjx2BOVRmbLZDEmBAtIfDxANgG9vyRKj+gVemk5UJpSMn32hO08WMqCqwMmZibrwuJbAhPg4FnhtDnAmMy9+prlsiLG0c83C0GpMmnfIVcW4RUiwoEbJdsra7C5Ga1IgkfVkYLC+z3qh1dI6wghkKtDiBpzvsYfRBAFezmyMYsyLI8fjcx/4ZDmLaUrCC+oQkWRZfuaEsSDiNKZ/dNMYEq2Bvm0sH9xj6qvGJpLjjlgameYxwf4Dz1qT/Dd0wdcPva4A8V9PmKuL6nkQPL3aVyHyo6LiUdmTYmZ5eZjXBFELzF/rVhMI8vGsSjPaT4B+SrzN+Yt+yvBwUayVwT9dyzxvZrvffKIZXIscs/F2TmpJBKFjdQUC1h49vn5L50n/e6ZUtv5Z74Tee2CHmArE9hRRsTui3cDq5ul55HdVHZUqDsnUFKBZOR6bMENKQVVZcaAUsgtW+DWB2dMDT3+vTDSU51zBB9whVFesJUGBO9JKeGDv5nElq18BG4ZFbtgnR2LgTsT+Dvb7lZ1d5PhXYD9d9Ez6puWnafU+HzLjdzpFn/8LxOQ+np5GNvvf73jFSGRQt2wZRDb9OmMzVqKW3Nsuf0u5bvtYvwnxQhWkLbMqFxuzKphDPZG3ydJEWKktQ+j2a/uNW9OL7her+kGT8zbZ7Mzus6FvM3ilu+05bu+YGIHXdzG6jfgFIwsRaNGj6tu8ISUSKVsceh841O00/lZLSi5ILY0yVRG2UD6iij/iywpuWUcftU2v4+yy8Q2uoDejme3pxS3TM87390dCm4+c0PWuMMIHTMY3gK6NzyeOwDTnXN+k6qW7Ym3TzOXgs9jAF/KmFQiUZB3MkqSMkUIUi43TJmCuMMu5ZZl9HX3+/bSf/nl/S2C8L+uR9l4F8f3kZBfv8/vo3wti+s32O+b7POVLLUd6+8OwwxuH/VdNlwp77Ljvuoco29auBkThZAMQ4+U6sZnTW09q7QZgam+H6irUUqfY0GbUZavpERvryuL0WOqkgpZy5FhlDMhOHbZRku6le9rpWnqGms1q9WSmGHwYczGqiRKKkxtgN8++57KiZwUJTR4pfBa4UVG6IqiIuhEshGsRlrJonW4GIlZIJWFKCg+04pEEOCFoKSMiAXtCyUISqcoQsImgi8IYcghkRi9vYIdV4irWOiLo8mSB1GQREbohNKJVXVIbecczTT5QhO1pN/TVGUfqwTisCfJGq8y/iKR3DWxSJ4px+aNo8TIsvJcZM/54Hh7saQsOuTg6c9A5xVJC/zMEVYRkRXCx+17R6J7EAkykihqiizEFLk6TfhhTAShdMcQDTlLnAikaMlZjX5lpqVIhZOCiCQXjUgTpFuiUkBIgU0BUQpxfLJkATq5LWBqiFJik0YGRWcdprfIYhiOJCIkpM+UOhF1BgTZ1YikUDBm5RQeIRMqR8QwzhGjGBdXSyhElTA6oS1sDKRgEVGjU48Wo6dk1nmUujN6oCpXaGKh9RVd8ITgECGSYybmQtV5VISiJCkrfAGXCzPVkaUkSE2pLZgCJeDKZPRzLQkRBdhCahKT1fge9rJQQkUkMNSeaBLkQvTQUpBZ4JNCxYxUGaGhdpqCIkWFt4DMVLagHGOk6gt1TsgkiVGRlCSQcGnMzpoleKmppQcKMWfqumVqp+wPDSCJsiBloUags2KdapgGpIFQaYxLiKHQOUU2AiFHb6yUBEorpnuC2VJCyAwqgQhEkal0ZNZCXUnaR3PMQSZPVrzoXnC11IiNxL6SPH++4Op8YAgFnzNBQtnLrCcBKQPqQFCiICdB3e9R0oCQgU0yY9u0NXFZIXxGpZ58LclKI+Y17Xlmj4q5mtJVG4bkSZtC8JphqfFa8bp0JN+gUoXYF5ShkPrMoXIMUtBJS8oZXTKKgggBmzK6SJbdBFlFlAnM2CBEACnpVaIEAVGNvl5kbCn4XI/tu0jqkHCuELRARUaGU/YEKlIRiJjJlUfogNGRiVsBPUIUVqJHKImyc+RmRQqSjdDMckYBvUqkYLF9YSYSy0GSfSGTCROF8LB36em8IcSMKj2GGlkUJScOGk0SisFNkYyZcnXXU68yZTM+p7b0iFSQG0ntJ8hQkYeEzxVFGfYmhpBW+JhYG0eZCMgK5SR9Tnifyb3g9aIa7SZma1Y5EYIkX7VU+w6RJKKzLAdwrpClZExGJshRkZ0YMyCGiAgZEcFLiWRcIImlMIugsxjnwvUoldRxilQbkCNIiE4UEehFQQeNdpZCTxGCLDUpzmhIGBXoGf0FUy7EWU9OkrIyxKzIslC2434RmVhAYohoxok55FiRfMOgVhSVEGq0Y5AFRBnHGpEUOmmKTXjAC6iipyhN0FAriDbh8FzoUZ+RI2RbMClRZ4+L2yQ4eQA1ShEHKSlGgBj9IgMSTaHOkVgZshLEYMmVQ8mMFBmbIkFAEBKbIetCqLfnCyPYXoYxHgmtpPUZlQte1gzJEEUB60FB1pmYoQoCUiHJTFKZIjSDqWiDQOZEKZGsI1IUps6B9yQSLhiEHT21U6W2KpdMMonKZxCZ6zZAGGWxWU9o8jiOp2ip8UiRGaRABoEskjoZQlXwVWDAk8MG23vS6oycPUuzpi5rNjkippJqBVd9wk0FA9A0K2wVUabQJIlNIC8T7V6NaRR1NcFKiagV+09gPs+sJhX38glVqlBGYUxm6mtmoWIuofuoxj2smck9lq8XbM4ivh1oY01bJkzeOxrrnn71HOrXAqW+QtXytWXn+ZF3gfidQHd7tK3lhLhzrPLOT8EoIboJwsSWsSEEdd2MLISS0VKgtcQYjTYGa2uaZrLNOJFJOeDTmE3HxTFtdAge5zpiiKSY35Hc3S1yO+lVQoDWo/kP26xgebeKfscH5gtlNwGP6/XN719VfiPJxd+JcgsmpBsGGfyuAKlb+PLL3+2+L7/kbDd/uyMv+tpz/RoxyY7pF1Omd4Hz5RofRj8xKSRKjMbUIY2MQS3EOOEXUNIokVM3xs4jmKMVzNqajXP4EOlCoGxlcKMRurxhWnUhUkJk6AaG7cr/qzdvqWuNlJKUJXHL7pESBu9umAElj0bkt0DK7hmKm3oBlAw53UpqjdTUxlAbzUXqCGkEX5WEWEYTxaY2sAX/67ra9r9AJRUhj6bnnvSNWsfvi03z9X2wUPItu3OH+cgteCPECCqmG97R7vpGRtj26EhZRv8wGFPZb/VgO1CKIoixbAH58bxstyl5XIb6VfUeQYTbz5nCkLb7Ukam1Q32dWcRYGtUfgMsMBrgp3LX9P6XAx472OKLMrubu/prPrf/Inz1tgNJ3o75RYidMJHfO1Xq6y7pa8DzX6d8ldfUr328cvukf2W7vPnf+OG2CWayH0HssD3O1x5JgFQWbUbgShmNVgqt9Jjxpqmo6orpZEJjLFpptMxbkEmOGRS1wmhNO5nRNDVSCv7dv//3rF1A9QNSacw2wcn9k2OUFL/1G8tWF8RQE9whq9ZCu0bWS2CfoDybumc4Smg7+k48n7wgFk3YWOoyHz3bQuSe6FhpwbnWFA3Gw6QD10BZNZSLKS0vUNqwsTPU5QUqB4pQbBpPlSMHvnB6LzBVij+KCi8Kk0pwMoO/2n9C/bDm/W977Gczhhoun0byX05wYoG7/1NefrImvO2Rf/oxZvUjhhJ4a2AyjIFRX9fjOFNlyqEjXWeym9JX7zN1nyHaHvXRhvXPDhGdoH5xDYDMhfrHib4ueGlx1T6CMzbrgb98lkCAqQoHjy54+/wE19W8qs5xl3ukaChlQM4KUhfeDHYrDQnIag/rA3KbRKONER0jq1IYqoqiNbrrKNUhWVcUVsxWYFXm+sPA/PWUqm9ZVQW92iA3A8NeoZQITsBpTUWk1QEBaO3RRsCy2jXZsWzG97vbc7R7gulEcN0VymqGvp6T+QxlFJUxYNcQAwSBczVZO5QcsM/3uXaWZW/Q/RU5BPpQmL8EZzRdVbHuLZFCLpJvqZ61hAshWN+f4GIPmw0hvIePjkW+pgVym0lHkYPrwpAVV8bC4pC415Pfu6SEiIuFLsBHPmAQrAaBMVcjg7rA4fnISnJILk8idR04sQLW4GImLBz7zmELaBl5BfRFcZUrmqpHFoFzlnsMRBV5pQfs4RzdHLC5mHDRF1Y5UNfwoED0lj+/PqD98AxTK7J7yIdv31AGx19UY3izG5K81zRW8YNvS+SPDUuf+VOTcN0VWmceVvDkqGV22CKfPiA0F1yUU/798Ay5knAN/+b/NjA7Pab1hsNHhU0Lyz3Q9yQ/F6PJfv3BFPd5QC3hnnuf2L3AlSVvc0tzcoRuplx9AnV6jhKXhJ9PkPcmmJOaozenPEn77Ot7/Kc//LdcfQrdc0XVW4TZQzU1L773jCdvGx4tZ5jvZcwLqF8lDuU5qSqUOnLuHSJVCGnRyxVHg2DfaX4SnlDCiqSueFzekI3GTwyr2o+y0W6UKLcls5cTv+AEsFihOfFvwMHmSlE3Dp0C2gfeiveQw0BVLhk+XNOowkmEcP0SnUdLtR/vXTNtDnkSHyMXP6c3EO9Zjlcelz1vjSNfHjDF8aG84hfWstEJZxxt65jkyOH6ip/lI3KBKRseLfcQSbL2AycHipWu+On6iOJXCLnBvHxG+7IiDwVfHIcyIHrN+hcVh+IeQWVepFMSB7SV5dEjKB8PrIaeVXtKfPQUVVcQNojXG9yV4rNl4fyyZdCC0p5yz7fIVPP6+pg/Gs45kBmC5OdacyUVAoixIpUKmoFwXkO0xAI2F5CwnBiqEtAiUVc98yFTRQHCsDm8xE0C4dUHmCSw2zDV7S2JNlKWhehqimvYY4GwBakUbvEYod6CWQA1A3OibuC9z+HtjHI2oxMZMb1G7K+pXE/IkdAL/KTBCwsoGs5hMYfFFP/tjmxHf7xNI/CuQC/wYY7OPTYVNvs9g4FeCZ4+G2WD/Z7mwGb6tCH5Jc/mMNvA/rVCPBLUeWB/4wixIsfEwl9h2pYiJNdCQC3HwKCLUBp0zjTes7lfkIPGvGlx99fj3FgUjO8pUoI2TL0gVpnFScC+sogi6SqIVx1hIghPDR98siZ1hrfrPRyS0gwwXUPFKIAY8XGyyAx64IoGZINvDjH1AuUGBr9i0wg0gkebnsVZpkMDU0pZkRuB39unvBGQAvn+FY0XaJU4nZ4jQqAkA/4Jx8MS20VeFssMh5GBN1WFvtaYrGj9DHdUCPMMUXE9U1gNH7z0XJgFV3nJw08/Y/HC0FnD2d5bxJ9l5CbyWlxzvQ/dFOSxQPhvUQ33+AfPew7+wT3aD+ckAfMpzCeFvaeF+URRaosu30c3B+j3a/55e0SYT8mTCXOR6KualbL85GTF6b+OfP7pBe7vGf7QPeG78UMe/cs/QHpg8+WMy18sv5Z875uAUrsg35hRx1IKxJBvAKXCmNEp5x3DSY5+TFIhhdhmvAOlJUYb9vf2qeuaumkoOY0UA6kRUpBiwA8dQz/cBFI+xhERjmWkzuVETLdyudGD6obTdIeU9eUp5xeBoi/KIX7dwOruMb/qXLt793cdmHo3+95YX6Pl2CYy+JjwMaF2bBF4R470RR8e+OWgEl/YRgrQ40LYHZYPN2yRW9+UO+H4V4BSv20gnHOmrSusHieZV5vRgFUIQW3HCZMPcQRphMBqQWUUSim0MVwtO5y/7cSVVTw4nrPpHYMPrDt3kxFPim2WnwwxJL79rQ843t9jqgU//vQzzhdLUoHaGpQQuBC2flLcBpVl7KM7Rtvu+d2yk25BqZTGbaQUaCWRUpDSDoC5y/QqSKlGgKIUcklIRrB3b1qhyUgyUkh8LLhYWA7pK/vAXfne75MptQP5xmOOoLiSAqskIY2MiXdYEwKEyKOsawuaF8po8pl2AJW8uc+l5PGebdkdMd/w0u7UBUZPqXIDhEg5+nXt7v03qwvcoIA35yi3fxNf3bdKgRTLVmYqaStLTKOnlIu/HDT8WqbhnYv6OwdKARTQWmyfm8Dt9LV/C9f2u8zC98sWRN6R3ol3q/pNDNV/7esZD3IH+b499815gW2G8+1nccfra2fWfPtTCIFQ6iZLoK3szeJWM2kZhp6h71ldLW5kyDeETjEudtVNQ1U3vHj27DeuW/2DmsNLw96F5WNpybMeNel4cqkZkGyQHCVYzyLLeeA7C8nyQHJ6pMh/fp8mdUzUNatwn6I82BVRdcis0LHCxcfbrJcdT8wZ9skM+Yf3+eCg5V6Z8MjtcfahINhEEp4uPgGvUZvMwU8+Q8oleX/BqvoB6XxJ+smPOe0jTrREe8KrmSOqNZq3xKspxQPec2+Y44riJYIPymuySry1hvgoolNm+jKxyA/R0vKgSZweGURynJy+Jk3nkBXiyrGwhVQS9TAw1DVJqlEOUVpsyTwKF7w9Aa8Fzdowm4/v8ssLwVDlETi/bJiogcZEZvuJ9fIhyVkmvOKyDTgNVahIgyYnTRF7HB9cYGvHK3eI9g4ZC84fcq+9ojYdb7Mg1wegK6rwEicSPgnyYgpU45y0uaBJGpMkweSRZFAEg7WYGNE7P9RSkKXgFajRQ5+QIQwzim95wDMGo/GV4fF7Frfu6VcD4sgyne4xmcwpquLy9YLLlwuaYSApRVCGEO4jVY/SSw6HxNJmFnXh3uEEt2rZXDU0kwtCqnChRZycjcFbMdQLN87OdcE6mKbMPCV+EQ9BOhqzIFYNVc7MfGBtKoyCiUqce4NPLTHu0+hLknQ47dl3kSwbNvUhLDM6SyppyOYcREKgiSIRZGJQAdWdQKopxXCsz0F6ViYxr2usVJhsuM4bQhVIh5E/3ghCp/l3py2qbpnJzEdccbwv0EeC9fc1P/+3ketThXMzSpHs3YN/9L9NTH66wb1J/PgTg/xOByYRf2ppvxsps8LbC8V/808/5IMn91nOvsWf/t//Fc+ef87r9wXf72rmXvBJ2HA9F6AE33sLn6/vcR1qKntOUQNaFJ76h7ydXXEtA/HZB8inl8h5h/qFITpBzmAmjhOdaSvBi3sz6k1BB8Hy/gTxZoW53PCBgwutWGhJqgImSqpsOTz4CPmkxxz3/MG15/zlmrfnPR8/2ENTYZPGnb1lz1XshYbzJKgqaAzkrkMKh1SOTmQ2laSrJLIzwIRSJtj+DeGw4E8U06v71JsNzeZyNIOeKzi0vHq2xzT3HMsVz2YPmVvNQ1v4tLwg2YhsBd1ZxkTLpExw1ZIqFGYbxcXQYKxify4QV/v4uqM7OqU7eERaGdKzjNg/ZVoF7lUFkzVhU7E8nXHfLMgErmMmnDwg5ky4PieUlmQt5aBF1QuawXH8amBhLYOFYRIxE0Pta45eH/EyjcSGj2rLanhOLzZs6kL/oKbSgg9WhdPzQK8E/gPL8XMBSfLyUYV+PUcNAmEvOGk7jCxcr6d0Tx3FRKafR4bUEMtIaJCuRSvYe3rG5Zsp/bomywmPxDmN6HhtDPdDwJL5+ECRhkNEqLDyGkFC5Ih1jv4hxAlMPklE2VCkphnW9PKYJCY85ox4NMFNas6fw3HeMNMdn30rcHCmmF9JMHDZzrm2LfXqnBArUqqYCktWPUn01G5NVBVJ19S0iLiksGT9UCAHg+oq1P1HhGUhXgY+0i9Za7jUGushSUGWkschICpBnGgWByfU3jNdb/j0qkUWTy03GCdQJSJKYCWPqURiRs/FFHyVCHXg/dM5A4LzqqCBOlTM+hZjXtNNI+dHggM/IQw1q2WL2j/HZsdkCHSxRtEylfucukSwHRyeY98+GiWIVtIOr0EGYqtAQDKJMA1M30Dtaxp5yLVZjQbxkwmTrgOX6TvJse2QaK7SfdL+GzAOWxSuzcgIs1PJIC2lBvNg4ORlC07xchKZHnuEhNWbFhNHieLaWVo7oFUibgOvogxl7x6yv0KEDu0GullL0prZYqAPNUEI7MEVYdlQgqFtM/EwQJOYh8Sw0qReMomOVdnDiZrmaIlyR+jQ0JY3BNmQjMHeX6GDwUbFPRu5CnNW7GH//ofkADIFPrr/isufe64+Czi5YaM7Btmz/8ZjosGUmv35t1DvS8RT+JP/05/80nnSN2ZKvWO4/Mu22221zcg1BmE7ZGCcRY7BlUFrhRC7gPY24BRCjqvzqSCVRhuLqSrc0G+lb2OWuxgCfnA450fn/VzwcfSFiikTQ9yu/Keba3g3S5P4khzhi3X+OvDp1518f+Ux7tyzcRLNl6Q5XwwE/i6VLwWlZQSe4U59t43kLltpV6T46vrvDLJvz3P7NyVHQMoqSB4Q28xuGdhKkawaPWJiugN6ibI1Cr+T/esrrmcH2HxtudNPpBp9kELcmoOXMoKukh0cdFNvuQUPcikoUbBa3Ur87tRz9EgZjzVtKmJKd65J3BxjlwCgbuqtT9D4910wJgqjobmUaCUYXCCkNGawLDumzbv1/2K1R8AE8hbZ3Ulldn5XO7aNVuM5pAAf2CYsKCgKtRFUSiER9LJQtuytu6DYNwl+v9ivf9Pg+AaQunPjx2ON900pATmT4s5A/CvAzN2/UrbR8y1LSuykdJkxA9G2JXyRLfq1ly/ubverwevx0u+gr3cBqXL3G24Aqrsj4o5xVVcG56GUeMPO+3W9jm4v4bcfO39Z+SIo9lWZG3/Vub4aoLkDuI9b/1rX9V9i2cnbd33ubtmNA7vt8g3L9ct97He1jPKl94D4ir/DroON75OcyXx12R1PaUNKiRQTzvubxSnTbRj6Hjc4cgi3iynb/TOZmMaFLh9+9SrfL6/bBElCC4/QCZkj0kmCCIRck3JFVgM5GtK6otuMk3Ex2fpNWI+uInnp0VrRtPu0e5pcJCFWmNeRQXmc7ak8EBN+4+H+YxpZc6I1L1MmZokxlnQW6YNnkzu6vEYER7qQRHOGP1sznA6cR0cioUTFJm1Admg/4HqJyFAT6eopDkHOkd5ZKONyfjFllOD5lmKrMYNhXEOcImOiGWDTJDIFUxIlWXIxKDQmjZnboqhoQsGIjGubkVsXIYRMiqNHkIkCr0cfEKkSRXqijDglyMqDLPiYSaqQlSD1liSgGIGYQGwLQmVkF9ApIUthmDqcDMiSaXzLRoLHY0TAJNBRsLaR2it0UmxyRcyaUhTKg8EhiPTBjHNIkchNJqVx4YjSQEqUOC7SKA1FZ5xTpG371zmySZoutZz4jB0S4MkEyuARgC2FLAzKTOhVQBFRBSAgyBRR6HLaJhaJ+OSx0TBNiivpKXr0iWz2MqlXuI1m0jqOItzvBefCoXVmv2oYokWWiFGRajYqMbKHNidMjvjsCDmNjOicEFkiisEMFb3dYHPmIMLZpCISkcPoz6a1HLMC95IkEq4ODIMaMxNq2PSBoXiavKHR0EpJDi1xcHifUTJSWUkjBNO+kBpDnhvUwYRKrrEJhmKRW0+eMxfZ+IjMcG9WcWU9vZI4O6daLSlDZLUwhMUEeTjj8HFFKwXGF9RaUUpFFIpObqiHhomqeHhPc95L1itHGzyxykgl0NlDKhQhYNJRRzCdpp/05DwlO4vMjhwKoRRiKKRNQnYCXVuKlwgJ+w8LdWM41BXLy4G1jXgRmbkNe1ow2684tIXUGVwfSapQUqDkCEkQCmxkokw8GU3IiljSOCPOgoSiaEVpFWltMAU0AVSiZEl2ilgiQQWUTZQkKcWQfM0ue7rJGeUSUcHKZIKTxCTJPiOjwniBDRE02CBRg8GUjCgKF2oOSMhc6LzFdAHpCiApKRBzZKUke74iUeEmin6IoAJxDhvlyTIipx5fZmNWzN6S7Ljo6ZXCS0nUhdJmXOMRQhJEJJtEQhKCpmsKgxZkC3UK2CgYBklJeZRzGT9mkvYa1UHK41zgoGRcNHRCsMoSoSqM1jTJ4bLGSMt7s5rrOXgRSU6SdCY3GYRGC7DbWKjTEqcgtYEmRUzSeFPIXkCWYDMyKZSXiMm42FtSGkGaEsnC4RtHZEJymknuENbhK4/sFCYkLJFeKkgJ7RJ1SpQkSEkjlKekRFYQZw1JjDJ4swwUAVFqRJ+Q3qBTwzR1+AQhJ5LPJCModSEkiUZRCTX2NwvSFA6GSPKwiQaRoZiMawsqCsjbjLdkKImSE7WvUSgsEpsSXmhitlQhIZLAIyhyQlADWQ10yDEzYO0wKSJiIXuFygkpCqkYZImoXKCXVDmOlhVyfL6CjIiGjKIUC30NekPZZphOVSYrAYMkxq2C5cAge0UsEtdmprSoIklVj/EW4RTJS0RdECUjBkVXF4RMTNzY37MEGQOhKuQKZJQEDKlopAg3jHL8hjgkRAAhE9knShR4KSmyICgMoqAxmFxR+Q06j9kSnZ6SS0akRGSbQVV4OtujlgvkaoNrl8QQiBiyWaFDS5Ur6qMlvTOE1MB6wWY14Dc9YnnB9UvH6tKhGkeqxr5SbRp6PNfyGnfxFqyhlF8NOf1aoFS5E5DflYd8eUq6lYcwZtnbrfQLMQaoxhqquqJtJsAYuC9XqxvPJSklKSZCdNTTgSQUUWjOL87HbHchEZwfM+/EcHM93Lk+KW/ZTTcB1NfMnHf7/qry+1qtF1ugrjIKFzMpjdLAXR3+LpYbz61tI5FCIBHEkr4QBL8b3Ow+7QyW7dYMf/QmKjf7UW5Bqx2YVCjUBmotaDT0EbQsTCoY/HgurRV7dWYIhUW3hQ+2x+nD199vpcbn430ibQ2f4Qs42t1YSgiMlggKaQvWKAFaCSotRmnbloGjEFsz6gI5kRMjK/AdoGVkCq3WPYMLGK15dHLA5XJN5zxDAGvUaKWmC9frDUhFM21wqRDTDnQbLzTngrEKay3Ttub88hrn4zt12LEZb57LlmWGfBcUTDkT085T6faZ76S7TaWZN5rGKFadY+0CLiYaLThoNLNaIkthOUSkLJyv+JL0C27ZUb+Kpfjb9NO7bbbcCdSFGP0otJD4EPEh3mw3Br5yt8eWSbUDQndsjl1/Foi0ZaPdMKBuZZo3INfuvhcBfCEY3kolfjnIc+dB3hBPvtDXduCKAORtsogtPro99Phh1jYItlJldzeT4De733cB+N+uvNv2fjm754sA87vAy7tt+6uPdzt+lVHCJXaean/7gNTvgkEmpaCylpTCliFUEMhxzB0zDlB4990vd+fd3dsytqVd+WZw6W9W3qntTfv98sLS7ne5NVKvKovRBqUUPgTCMOBDgDU3/UcpdQvCfeGkQ9/Td/1vde1m+ZAyXOA4hyNQTmN6y+v9HtYVrPa4OloSu304P+HzMqDPO+xyg1Yr7DRipjBdvaVtHnFw7yP+0UdXXEt44SXr88+4rB2n9xL1J9C9Hbi4OuWt/iGzFnp5xY9+sUYawZOJ4rP//lOuyoKL/TdgQHcTqrMTSv1XxCzxsaUUPWbtZINcrWhK4NgLVlmjyOwJz6vjHq8zhGtenx8jc03FhlIKvtR48YgyDai8oVsskLHHAFoIVl0kl8IRHh/2gIaJMJj4Agcs5Qn3yjNKlXh+/z7mwqBdAM5YLhQqZ2beMbh9ktTUTcegM50uLBFYdY3QhsvQInSHMAXvW6ztUI2D9665zgGGxOTqjEo0UGk2j1/TnRviuuJemeGvB3rh2HwguH8GbV/oHm84uOyYrgyfbD4gAZmCAlrOsGXg2tVgEtQQ7gdyn6GXkO5hXIf0Y7YlMytQZ/oLO3pm5UI87xi6OV0/Y7LeMJEDliUXpVC0BqWwgFUTpD1i0fyCMghKZxjyCHIAbNiglcPYDb0dOBKSD7LlRz7jSwYTOHxPsT4zrK9a3n/c88TBk2i4Khsm84anD465/iyzEj2L1vHR08LbleQ/PTM8DR6Rl3TlmuduRiMMj6XgdQU6G+47xYt7V7Qp8MG15vzefWLMmFdXADSm4vBwj3Tp2Kg1p4cL1qfHqGypGOf3dc48CoFpLZClJb99wEX3gnXxNHVg/3FkH8Xk2YyLmcRPG6R8QBNfk2JghcWYa2Lu+PGziH6hORoq/ufvzfgf9MBpgXzvHsfnEdsHZHnExaf7vBGS/e8+J/U94kqge81Ve8x1bVjNLvjo9RGP9QHv/e/mfO4/Zbm+4MQHCNu5UPFoJ9E2EY+fc3jxmNn5AT/96GNK0sjQANcsypj1Sz3fsF8mzGnZvIFlgWzh+B8WHhwfMquO+Js/ec3PVMe5GPjj55/zoNznQByS7ztmuqWaW/7Dx1e43jH4xKS0dNrTSUd5z9Fda8SlwuSObDSpGrMTxqYhTBvKy8xeWnNfXvJ5VZE2E8piQm4uWGnHxaTQOEvqG8Jyth0i5RZcvmSoCi/2I/ZjS8mFqOJoZp4M94NGBEmfKpbMeSDPWUXN6+WUe+IaMyRyP2F4fY5X0NcVsspEKTjtCv7shGQFq3tL9MuEqiE+lTh3TtIgZhrSDLmoyJ8USvI4ETmz9fg+UIl6IvBG4GPkzJzhjcFi6DJc34OhGlny7y0LchC87C0mJ6TIVBoEo39ctehxYYItmkfe8ImbsEQDhukgaXNi6lYsckvVtPzXjx/wo/0zXoYVy/++Ih/1cORAHIIUY/6KSzirNKkqyFnmWK2Y+IHPypRwmSgxYO4LZK8RvSI+zfiFoKwEjRDMuabIJZ8cF8xloV4lHopzzmaF05mgPjUIH0lEzjHkMFDRc+AdpVgcgWBXhGAIsSV8t6UMEbEMyNVbnNY4XTE565BigpRHHL/5hJwiXhTOUmZoBeFBofq0opaGmWn4bK0QZqBqB/7xZ294Gw55Xu5TVc9Ic0c4igyuQkRFEQroiSGySZ5ZmSN7BUsQXFCoEL7FipaAYIGA2QmiXkF8w+a6gO4Q+xvmL6FkRWcr2tCNnksyo6prlAiwsTwq50QheFUMfZsQRVB58FRkX6M2M/LhZ7jW0W8WuD1PjjXi9QSqjmaaePKe4vkzyzolOLjk0dsTlJvxfPKM9mJG7huuZYPlHBUHwpnh7KHHisx7LwpnV5ZeSASCeBAoqlA7gXN7xCSpqwWFgoqe9u1LFkwZjGY4EXAhEYOCJqF1QIlM5wpNaWmZMPM9rCAmxTPzAJOvkGrN1QzKQoIfs61XrNCysHogMcuM7QNDgVhNkNWM5jsdB+f72OUJOnzKZ8tLXp2vePPzBj8NpHsRORGoS4M6szTlPpvqglV1SQqXxDcTwov2V86TvrF8z1r7TjB4GxzuttgGNVIipaSuLFrJcaInt5IkPfo0jD5Nir7rcc4xDGPK553ETki5DYwKapuJx1rLMAw3JuG7IPnW+2R3FV9RyW+4Ov77LjuQafTRGgN+rSWSkUFjpMTFREiFELcZdu5Iif4ulXfAQKDSisooUkm4kPDhjl7vdq+bb7QUGCWYV2x9DLYmdhJqJShiNA9MRbBfC2IudFu/CKPA6sK1G/ETKwUhQltp9ieGzeDoQ2HtBSczQ4iJq87RBU0pN7Zh23qMV1lpxbS1rDtHiHkry/oqUGq7yqkkrVWELWvPx4xRoBU0WqLlCKb1oWwz0Ykbg3MpoLGSZT+mqt0xFiojeXxYYWVBSk2p9hECBhd49vqCtrFUVtNaw9W6JxU4Otrj4uKKvh+z2dwG6dDUY/p1LRXLTY9znhtzenbMkC1jYlszIcBquc0+CUhxA3hJIW6uVY5u2kgJJ/MpVo8MMRczzkdCysxqRSqjlHdiBSmDj4VX1/GmDd3+3PWd/Hvpr+ULQIfaAmC5QMkFrSWV1Wgp8CGyGfzWFHeXzY4RKLoxDeeLEfSXJFe78XOXoU/u2CjbIwghb8a48bpGWXO6yYr4ZVBI3Pn0zqj3ziB5+4B3TVbI24ynu6yCIeyki5JJU49Mk5wZfHinb3+T56GU2ILMEFIh5hHUqLRCS0kohRDGvsKWQXb3UnfgsdEKreSYXTWXW+Bvxy7QavuO2LHtbvDCd5g/u1wYeceWLO/crdvbtmV07jLGWqVvOv3wnyn73tdd1y9j8n6TUkpGa8V00qLEyNnLOaOUJuVC5/1uQ3IMaDUOhj6NoPxNS/06QO83rNvvo8ibZCRf0153jeVrym6fHVD3m5T5wfFofE1k816gjoVmEHQrQ1CQdOHxsmZAsBYC/An372cev+eY31uja4uxE+YX+6iZhmPJn/7Cc9FfsXCn6J+OXoBRF8q1RrYReehJTJnNG45Ppnz65442OO6rjs+WFVElVOuoHnp0L9BvFVkeEcgMbPD3PXrITN4UfGNANij2WLdvsMFzdJ05ffJgDEgX17gqUbJBDDOsXVOqRJiCuTIoX1Ap0puR5TMNliAEWUFqEkEX6iB470JwYQROChIWTSAXWKUa9dChVMKcCrTztCnzoar4id7juhXUH17AVUXpBGwCevBUFA5PFG+ajMua48/uc0XHIAP1PFHIqJSZLgcaISlK8/n/n7v/erIlyfM7sY/LiDgy5dWlumu6p7uBxswOASwWYg0EH0guuWZ8oZH/Av8fvpIPNPKBxjXjC2m2hjVgCS4JydkZjKru6tJXpc6jQrjkg8fJm7e6qsX0YDCzYXYrs06eEyfCw8PDf1//iuWcyW5H4xzHwnBrI4NOLIDNBLoqMySY3WSqnWDXLAFQCB7IOW3eMqSeyWDpFz1D44mDRQ0e4yNL5sjsyXgurCUrCUKgN1ucmOHUBPt0SyaSA8hXB3xP9Lxvev75yZK0adGrHQ0PCCbirWeQA9nPwS9IMdBMVyyWK370g0e8eu355NOWp1Fx+Mhy+E7FxWcXhDaSHfz47065Pkt89meeZ01GGkMyFRfv72h2cPha0c6OmNWaBxPJ1p7R+sCmEzz84UNerDr+7UcXzM4kZEW0Gi+giRXHfs6XH55RJc871/DJ5B166SG/plpVCAPpOGFeG5Kr6fKSPL/mZCH43ccLXv7Jls3Os9EO5zUHS82P/2aFfrFmWAVe32ROa0OFRbgpfzxp2SwD5vsC9+8z7lqxHabIU89ypvmdxSmH752jZhXb9PdYynM2tzf8P/7pcx5//4SHR1P+VlXxpx99ztA5/vYP3+Nf/exLvtqs2B176s0E5TVe9nxfn3BgLC8Pz1i9GIjrwBMhuDKGrbB49xDMLVk5hnSC1rcI2xGezMmvpuhbyzMbWIsVrRwYpgfUQ4cZAp074kTdcFy1PH7/GUfVjLnQ9C8+5pPHcHGg+M9+smDwHZ3qSd8PVK1AbuBfrTtutodsdwtqc8HyUDObWz7/igKU4RnaiqUZOKgG1gcT2n7CsK146s7os2ZDRfNgRd0Lqp3m5ftLwlaTrxS1uaaQDxTD0GCVY2I6DrynM5J1o3jQe3ax5iLOmT64ZFoplqbhVO5Yr2u+fHWArK5JIuPRoHfILNHRkojEJuGOIvnVETImtN3ht1MqKg5NTfLPCULS2WOiWRHqAb/05PND6Aw4RdWsAYkfloCDakCcrki3J9RO8NBvEFVgMHDVCPx2Rg4GUDxOV4gUeRmnSObUMnFav2YyLUqem6vIzbLI8h5dR8JjyaAtV1+d8r36lkY5vogChwRdMTt9zKPda/Sw5SeDIKlENBJ3MGWy7dHesa0cE1nUHasmM1lbqq5CuFOcWJOrlge/PXD1+ZLtqkJ8eMYyPKLqF1yeXSCaGlFLBvWcRyvFolc8f7dc69gaGh94dxo4spl/82qBVB5deXg2sLyWzG8MXXqKrG+hWnGRa9zI8pmpFo5miMWEycfPmS8bJgdTXpxvcJNEmCWqa4ebCYaF4uhnR6gYQQ3cfuCRm4C9imjZ0DWwawTi/BAmLfnglsVLyGiCNfS6B1ehuhnvqp6cLV2e0lfXhQHoE6mqEXmK8ks2WjCVOx7JC15KhUyRWRq4noEWU5bhIdfLF/hsSP0pU7XGDD3mtmU4ykQUobPkUfUhs6Q5mRCUZOUoslXtOT6KPO8jrtfY9RR/2CIPLfW7j5iQmSbNg37Oo90VbtjwR7srbo8tg1D4K8WjswGTI7sngs3lCaGrMM4Tjm9Ae+za4lKDsLB4tGIbT0m9YvbyJd1jQaok1StFv0gEk0idh80S6SuapsU5RUpgG8fSlUCTPntmutQOz+0Uk3pMTizDMZezHa3teHyTSD4TMqznNaYPaB+YatiZhkFpFmxIYkoUDS5ahL+FsCPYCbMcqFLkhZhxECccJovNF4S5J0wi4YKCrmfDp/7mF86TfmWm1NcncnuJS+G/QCFQiDsQqbL2zoMm8WaFOcZYXPSzp+uK4XjxfnpTbOaU7lbxQwh3r6cYS8FxT1LwyybCX/fM+I+9wi0EqLHQv086KUofSdNYaqDrh7uC1P8KjvV/Xba9b9ibwnO8tiOz7n5hkHPx20kj8LhoNIuqgFBX20DrSmjBqDkqQIsRaJXREia5sB1lhiQLG0lQgI+QyrHUVYWQATUUOuTPt7T4ht++eRu5GOwBASUlIaU75kkpiAT+ni9+AT5GsGiU0gjy6F1U9nrHzMhvviln6IcBKRU+RjKjOXoUKFndSWKHfhgT74op+V6CJJW8k/55AjHuC+x8d6/uAak3RzsmBI7/yRRgrQQOlP2mVD5fW4PVEq0kKSWcBy9K0bT3a3Exj6BdZs/iCSmPrSjuusOelXkfMPu5tv8a4PPrbPv3W1OSv5QUDCGW77oHwqeUsNaghCkrGql45SlVDMj3IFO695lyNUdw7Y4F9TVw6u4cQMs9giLYw7Z3Rf94GSRlTL3P6igt9k099J5f2H6sefPld2BjHtP2hGQ/ot8dawaGEOBOmvnL4Yb7IKZR4/gvy33PeC0Rexw3oxFkVV6P4znu+9P+vkEUwFZKgUyCxJvj3x/rvp+UfnM/gOKb2+bNifLWfQqMaZayDCLi7bf/dd7ePAfL/ZRixGh1d42ULD9N1kW2kBPKKowaQWc3ynzH1k/3x7Pxl/u/v/nrm+//y97S3f35LXOHX3JMfxHHLJInJEnCIvuEshE1h6NwREqezMCj04bUGIbGsrl8yPwkYE46qqXDyZotU4J0qK6DV4HtWaZNOzrVo9MMGTMiRTqT0DJTR4HebXExcyFrvG0JIeLXAp/KQkg1JMwWZBAkpfHSE2QgSUcVAyJKPJYQJChFEhoVDSIlBhWRblxESAKVM0lF0tSTdhUiB1TTIiOoJLA506lEFIIhSFJSZBIiBJRMKJmR80yKtqRP2Y7Y1xAExvWkMJBVRk0N0kiElzBksA5lYNklltUSaRuuD3tm2y3a96TQI51CJUGlOlSOZTGwhTwyWKPWhR2cE7OOMsYIgUvuLowieYHzkkGWyVsQsUj/hBtBfsFgd7gYCAGU7hFJQdBkGUhJkbyilp5cBYJNRJPAZ6QXZCnROSGzpxOJSYzUIbGSgXUtuZzVLB5kOp0YAridwRFwdIg4IydLSpLY1AQ5EIaWsFaY5DmeJz5cNCwfamaPQd5aNsKzS4FqlZmlxOFR5DBrRCXwM/AHVSksQyD6AakTTTJ8mjJ9hBzg4NgwqMxRMyEah0uZTkdUUpRRwiOHwlgMNpFSBykikdg6kQW0bWSaICZLFywyZbSGaqmwVUL6yK5K1L5GeMF63WLqRAwCfaOJQ8QRCUyY1B5hAv66ZXCWJIFlW8Y2L5muByayJGDdbFfUbSJda4yXuCHQJUc+1qSDSBKReJUZhgqXGpphILpI8oKZ1QzJceM9q9c7/FBWqHZS0qpMpyLB9EzI6CwZenDGQzWgJzMWU8fUJRpX0+4TwZMAFZHTwORxw2MFD8WUs2uNkJ4sBlTraXYVC1txJmp62TLkjvo1dEND6iv8INBOMk2+pCvHTPAJ4QXocu5oiBiGKPEyQRzQQyJMI3iF9ZCTQKGolWEyBHqnGKJCmojOEZkDUSmyTDghUGRmBuqJInSGmDSaTPQT4hg61cwrzLJGWsvnlwcoeo6qHWeVJEswRPoMqYI8yRzNEyoKkq5pO430Au8yMyERwjCloa8yvXbcup5qEOgcqRtHlBEfJS6VTDkhIrFWzEzERkEIYEJ5gA3KoPsiCctK4pCIlFApIPd2Gm2mM4YoBVFmdB1IQrDJpvjGpYhSA0MlQEticIggyQL6eEvb9SgX8QYIFSIp5m1HEJHeZkQqvrvIDCETXZHILoUrc7wsqLcgnSZFi94pVAwoNyBSw0SC1oEhZXylGZTBeI/KCWSR1UYtWNUllRTjSZOEFUVlkVRkvnAMCbpokD4iRIJG4tysJNgbTxYNLlZkp2jjlCT7AvhlEE4gdxIfDSkGRHKkQSMc5AjbQxAiMg2BQYTCEOsUQQUYJY3CCTKGKBpi2hEItDkQq4SIGZUSoXGIUFJpZe6RYYCc0LoubO9UEl2lgaoui/LkjMg9eZRpNzLTZonLkhwkSmVAElNFJJBzwrhIkgGvM72CNEwQXiCrjhwFwUEfO05mkrkTqDNLTY3OjibBymcqnXh3AcepjG3XzUCTYqm9HkSSzsQMnTHoXVkkEX1CCQdZl1TFUXETpUHHgCTigyqYggpMUiQkTcwSmRWhdmQR6VGIwaKjxOgBERI5SLxvSESQmRQHkoxkkdF9LNc9Z4IVxCSIg6IbGnwVCHpD1R2UukZq4rRBto6qD0xzQohMLyDPHFFpoqtwMWDJVAy/dJ70K4NSKcVxIlekJlprtNEYpe5e18ZQVRV1XSOEIMSI956+7wnBE4JnGBwhRIJ/k3a3ZwJ9q3RiZF9JpUAI8l5W8OcsPn+z7f4+xNde+0UT11KeSqDS+W7iHnKJnCyAhOH0+JDKajarFTlGnA9crNq/gOP+y9u+DSAQ7KVKBUQxRlNWW+JbUicohX3Iids+o4TASsmzownPDhXvHEj+1U9u8SFx42HnC7ATk+Bk9qYItkMBoMqCvyRlwc4lNn0BRrSWKNtgVaJxsO1bylWRP3f8KZdI0l+tMC2Ft5SjmbUsTBRyiYf1IbO3ecopj8bfRT5iVWmBISTiXdlNmRADuyHSU1LS+jDgkyCmTMolVTIERW0NdVXATfIeCJSE5DFaolQxJ+97V5gpMLJ+xB3Isk+bCjGP0sm7i1uAk7EodT6ilSyAQyqEEyEkR8s5B/Mp1mg++eKrwmzJGS1LYIIUkna8bjkL2qBIsUgj77qM+Hm51dtA2b0W/xXBkm+9YhkWTU1jDY1VfHW1xqX4FjDmY2BRz9BKkZJg1Q1FriFlAfVyAhIh7H2+Rm8tyjmKO+aOLL4EjG0YIykX9qdW8g4cKaENEPMIbAqJFApURKQiydyfcQFc76Cg0nNG0GkvE9w3z1v45psWKO9RYO76grhDFwpD5G1Wzn2GzDeNrUIItBRMrCDk4kHiUyYCWYIWZfyLQVBJQa3L1/VBoEfwfkjcAZl7WE/sgd5vuY73z3UMZOHrZ5xHwBoh3v77/pwFJa1NKZIfQT8p7mRq+Y6t+y0H8pew/caLLaKAqUM/oKxG7RMhlQQpMdYShx5FZlEZpByl+CKSYgFbpZT4MSky5jKxKosJ3/qVX7t/v37c4u59f9HbL/JB+8vaQtB4b5mcJ+TjgHgg+G7zIfZ8QF+vefAPA9NHp9SHT/jJHzxgXe1YLa6RYcXL1vLJ1pJe/An2fKB+nTiUEn0syI8Ezs3R2WPsBjHrICryreXRAKGt2Kws6m+0qNsa9fEjhPSItEH3PfqFIJiGrj6lNc9J2iOs4PQ1hNBwwynJFXFKLR1VPwdV0dodarO7Yxeb3pAmCf/olvDpM+QuU4US5mFS5NANtAtwUkAPzll0ihy2W9q6Rk9APHWIs7KI4pYOuiOUhxk3bNeQp2AfQmZG6iSrz9aE6oYKePenir/1w2dUT075V+93PL25IJ/d8C/++ReE2mK0QFZXWAw5anRniFUkamitBeeoY+Jp33NlJK213LQtMVYkabiR0K8UKSvkk4poe0R2iJFpGUTkZXON6Qw2Koa6J7oHpH6Oe/dzUpyi+wrBDWGZGY4EHo+60Yi1IlQ1i+CZpJYvMsy3gtOVYKhaXp7MeP244R89PefzReBnlSL/DJwMOO2Q4ahUfbSIowPabU17OSPvBk6PHN9/Fvn7/6lhYQVViuRhxheXLa/PPZufeTiEk+8p3tsomhr0IvDVdEm7HejMit31LakSuKD4wyPPtpXYM83fV5FJZQj2lH9tr+nSwGAGGteQSPjsUOcK3WTE0kO4QDpFtbUsHjtiEMQLy+ngcMmzJmI7EA5WdSJOu9EnJ/NhP0NvIx///jnxxwqzsBzqOa27JWdJkgd894OErgTPP2uJW0VQIL+zwjy36JsOzzXb84q+G3h19a+5/OSEtKqYy0PcVxdctJF//50n1D9ccLBTqM8nxHAEneJBe8tZtgRdcToPXLqOrvNMu0yqLL7WvAYGMxBMi1z2zNopVWe5TbegHWIC6rTjg7zlsRa8/vIxSpTQJbEbaBYDB0eJw3/0gN+VDQ92gv/9/+UjurwhyIGJyEzPa+xmyR9pi34gqRt45w8FF+GA83zC67jikGtOxRXn1Gw2ie06YHTGNx5XB5oo6dyCtZtB+Iw6bZkKODutONlm3r0e+GJn8XJGtnMevvyCm1RzzgxDT5MSjZf4SpBEeXYkDSfHkgcfGP75vzrF0WLtDcP1Y3zaIcRrDr7/hOOnEw7fa/g//t8fMIk3/Phww+/PpuQ6Mp/2vIqZEApQ/qPvrJE0XKZDdhvLJgbOU8tTpTmsa2bLmvOTJZcxsbrqWJoty7rj0XLLV+vAaki0wrNkg6gju8c1z+oNaQPPzy2TPhOdhvaAJl+hVMRXDR0SERXzbou0MxQCF+FqtcBLTV3fYmtHQnLNkvqmQ+lIVa14+fgQ0QjmF89xG4vMnifiBRfasE2SwXTgFtTO8Kw/4+Uz2E4E1Ve2+N2qDKZHO0EVEieHV0y7Ct1Zrj/qUFkhhcaeG5K7JoYbFuID3o1XzNKK/y7D9fKAjZzznU8/hQMHM8dkI3ghDOdGk5GkWSIdeU5XDZshc2EzP/7wJV8+X/DqxTFNc404dMgFhI/fgXCFiBdUPGGztvSbUsjU8Zo672ALqlXorWWVNRaok8N9tkTbCM1AeC8zv4TDz+C83hQ1ws7STiLMEnLhqb6qiKnB09AR6HPkFsFsMUAQuFwxLPoiLWwTlbkhpZ7bwSHdA6KOrKqI7sHagD19hf3cIoYM4pYSPp1Y1JLb3pKDou81TROAisGdMLRfoGPH9CqzfSrYVoptZ2D1AJ0D8vg5XMzJLcTFa46NotnMOPvjJU8PDzHWMJWvsZ8r5pXif/YDhXh6wJAzr87PiGZNtJn+d2H4WWK91vzJvOFouMX2Pe4LUNUWoTS+qoltT+7K5HRyk5EJ2qYBFdHSczI4rVC+VgABAABJREFUXKrxQgOO9RGkmQI5Y/tigdxKlkdf4FeGzlfcUhVgNERu7Eu06pFE1GooC99GcPYQ8lWDWM1RIjGoa7Le8oEIrLRiVTX4h0eE8wG6jifimosML0Ti+Al0V1PaywU5dxyyRbP9pXOkX1m+9+jRA0qou4AYShTzWIzFGEvReY/ansaEvQI47FlQ+a5whbcn1b9ok1Le+T3sGQv3P/+Xt92nLPz8y98OSu3BtYySUKtS7IcMLoEe5Y1NY5lNG5QQbDcbKiXJKXO+7kj/EYufX3f7+uQ/A43R1LoMYC4GXAyYyhaAMgRiePPZ8rO0V4yZaaVZNBXzuphykhO3W8fgM8NIqxAjo2hmC+vKx1L0apkxCiZGoo1CGcNnFx7nEzlFprUBKUgZVq0nfYuXl9GSSW3oel9M9L9BvrevZwGsUswnVfEviZE+hDtZVErcARRSUaQzb2rh0n5I3Og7VRqxHFdjVGGOiZLWF8aEQYSkMhajNXVlsbaAP23XF1NtQGlVCvpxn3VdoZS+Y/mQ84jGB0IKDL1j0/b03t8xH5SUPDpaMq0qKq2RUjBpaiprERmc88SUmM2mWGsRUnB1fb1vIVIoPlpSCgKFzRVjwqfAtm3ZdS3bbrhjyGXegFFSvHn/t/W70lS/PlgtgP/J7/2YxwcLTqYN/7d/+e+4XG/ZdkMxhB8ZOD945zHzyYRJVRcWnBAoIXFj0mfKicaUWOWUEmoE1LVSo0yztIO2tgC0CLb9Dh/KGDq4wlpzIXB+e8u2H1h3blwNkdRGc3Qwp7GWiTZYVcCtlOKd51bvA5uhyKGN1kUWGBNt3wOFHZEZ2SOMDClK+2qjyzV3nt6Ft/q3Gv3fU34DEt31+6+1eab0a63gcKLZ9YHeF2nypJLURjJRsB7SCE5CpcBIcGOnzxmGAPcF2mrP5BGySD/z20yp/fXMX0envvVZk996y/2P7Rdb9lJrIcHcvRn68OeXzv2m28+FEPwax/F143cjC5AvZXnNmFEyXzUcnD5AS+gvX7PedbgQCIASEolAUqTWAJEiyw4pE2JJcd6PVQXkLON5GqW/bzEf36Dedwy7v4pbCOGXv+lbtv/if/ldzq4PuLpa8qPNS7bvH3Dz3RPitoIXnyGf/5QTIbk5OOHi6JTu4gWzzrPoI5u4o5OWTlVk35O0J1qPriRiUNBq+hSpfGLWJ24eJGZOcrqW3GjDkJe4eIqzL1FmwFTFA2TWw8ON5NLCkGqGuCDOX6JEwkaL9hSfD1cT6oGYDdHPsXbNRA4cMHApLIPMDGpATAWTZHm4WXKRHJ6IFJEjb0gicFFvkFTkWOO7Ofk40uSBp1e33AJRQmMyW1mT0NTR0olEqAPxUYt9Hql7y8PqMWIBXngubm5J+YhqZnn3d3q+Pz1GGcu/VC3LzhG3PX/88Sv01iL6iuQOafIVUnQMpsGFKSTFIbfkI0eymXBTE0XxiBIplZS6sVOW56lAGEGwDikSz26Puao2bHTLbJcZmgN8VSPia5TRaGk5uD1hpXo62fPexrDSmq0WyGpNMJ4ogauHqGaNmmwQfYWYRFSdOHwO4n2N/MDynnvEVy8EX5wlHv5uS3/WsXveI3JF1FOCnmHDmrR0pCOH6h0/VIL/Ua2YP33ClXe86HYEW/PqYssXz2/40Uwjmgo3qXjyScswSaweQP1CcTCHh48F1TXISpEPNP/XoFl1DjYdJ9tnHM09j57e8NXvD9z4xKVNNK5BGEGagT+f8qCx/PhJxZfPJddhx7l5zVRYsoLeet4XkLzh9bbBz3foJSyfGd7/NOB28JFXzHcZGSIej18W0+u0mfGMa4RMnJs5D4xETQKrR2vUJwLnMuePEtJKjFEsJpbjlw6TJNunSzZfBsRgeHj0mCcTz2wRkR8KFsag0XS9JnzsYEjY3xZchUjXKfj8mPd+q2Ux96w/y9TTBRjFZf8Sd/OAPGjM/A95fZm42EQ+6jcYoaimNY/+px/yO0HyvhfooBDTOcJW5HWRnAqRaP/TI46jYTpkPv3yBbM2UTvJhg8RS42cJLj4jBASPkErA9tNx+164L95oZHtFdZds114qp2m2mk0Hc4qBqsYxICOFSpVDMsN0mS0Fpz2gn5radc1j/RAuxSsDyVptyMmQUAx2UlUKgbnM+do84StPuR/97/+BzxeJqas+D/8n6943V5xq1+Ts0ESsTLyX/5vvs9TteDBzZRXXQe1oTqcMHQZYkSlgfWHDSL1VDc3nJzPYKro3hWIs4qoEu6oZ84B1Rbsy57dQ0nvPLvnLbunA/RgfmZ4/rMdL9st/55zFAFzYKl/dMLfqaYsG0k89Zx+UWGzID8eWSOtJHxW8UcH13RV4NQaHrhi7n15do3pF6jcoOsFX7nnbIYNbuV450FiWjcM3W/zk8vXXPVrernB1Z6kE0ZmxNaSB0vnZxylLTYFbpkgpg6lPYdbz9YYemnowwK5XNHUPT9Mgpd9ZuXBeMO7jeJ4IgjvOz69kpzdCuyt5XHTM7Wen8hEmBuStZiLOcZ3KD8gPXgj8FLjNs84VBfM9TW3qqJvArEJvHMs2F5Y1hcV3k9RVYeqeugr5qZmrivs6oZcRVKVaFeJbRPYzgKNFYRuiW8POHp6AauadDHBpTPsSUX9aM7ZxRTRrNGLS3IvsKtMfQVXT0+YDJmjrePlwRTZVTS3lmx2uDrQzgLCDdALxE5ipwOpyYSZQLw8Yao7DpeXnJ0dAoGm2mIGyFrhJ5qwPSETwdwizEDWgmQqhkuFSGBMwvuKnCsyc3j0Bage1YPyFTJLQIA3JBMJhzuaV4UF1z5OLE8l2hnCTya8/zAymSaYZv7G9/9zjiYz7O3P+PwPena3Dt3skEcQsuH2yyVZfEU0O3aHioVI4CWvz2echYEQM0/CnOdoNlkhsuQ43WCU5/XhgsPtLTZ33D4BO0ikkwytJitQMnHiInhJTJKbGQxNAJF4eGbZVprOavyBor7ZYHYDwdQor5BREO2WTiucVqimQruIDAkxiRidMMD81tAnRScEbrrD72bErmG63CInGWEz+suASglF4qtfMof69dL3cpFE5BFkSkIUQCEmYkp38rr7ZsRf97wQe5HJr7Fq+U1A1K8zCX/7vX/+ldi9Wa4Q+W5iX1gHv3hnb33XyFKIuTAA8rjcLkjkFOjavshlBo+w+u57xT2Zz1/17edZK2/74uwTnwqn41v3Un6IUgD7GFl1xcskhDeeMVKWVfk8rjTt3Ni2UTDR43eNDA1SmWBaXSQnLmU650dZkRoJTr/gWo7VUimyvulqfO3To3xLiuJRJMpLRb44FmVKcWegvO8LUCRUIpXrfq81RqmfLMwqWeRxUipsVVFXNUZrjNJoU8AKqy1Sjil7VpN8IMdUGHtVhVSKGGKR8qVybxeadUTS0g6e7PagVEEAmqZhOZ0ytRVKwqSpscYgMgzOEWLE1g3GaKSSsDy4Yw4F98ZLLGQIsXx39LkUwtrQVKOsL7+5xvv7LaVCqZXy59khvzZAcAd6CYyShfWJwIV0Z7QvR9nn/roPIVL5SGUytbXlGsjii5RyIufEwWRarssINqo9KMVeipZBa/a9X6lS7IaYSXXxbXIh0A8DISZW7XA3/gLM64bFtGFRNWiK+fjgHdYYUs5Y51HakCnHKHMxo59YMy4I7KWXaTRlL2xEKQqDzrli5F4kgfIN6JT3QA17r/Vv3fYsMKUMTx8+IktNzIJtN2BExMpEozIzl2ldZnABK8pDq/XxzpS/yfKeJGzshTkx+HjXj/ZgLhRvvrwH3u4d4JvmG989Hv/9YepN/xllapSklP03iwSoN/e44Be3wV/VrZiU31s02KOS4xmllEjjw6l4Qwqc3HufyXLtR3kpcA8Y3HujFQBTjYw2pQRalwndQMTWFQhB1/X7Ixj72NeTKP+HtTVaoKwn1Fu23tH6AXfZEXdrQrsmpYAZcinYdwbVXiCHjOoVW6mJMiPUgEAQc0VUNSINyCBQ5QJBjmThmTqBDRCEIEpDjJKQInoXyVNPP3PgLDEp+qwIIpFkRiSH1hmdMs1QUqukzExEz05mco4k5UiNw8vAkDMhx7LynAW5yqQo8NIi6BA5E1ONToooBUEodAKZItPsETlgCDilCDYSMqTWEJtxnIkCYYqFeHAGHWsSlr7WyOAIOeKkZEKkEp5uF3gebslSsMGV9CIHQU+wOaFipE8ekw1aCnZZkwVIEUsiURJEBF5mVMqoBI4GmxxGREQFvVf4JMCWdKYUM5FEsplcCZLPZQHXKyR6HDsDIQeSdmQb2Pk5vVe4Hqo8RdAirCdNICoNoeLAwTCDoSnR6tMEEwe+m5MGh3YtB/3AKga2IiGzg1QjYmYqOkQVSNPEai3oMqyGxMWk5yY4LnoHUtGtE7YXrI/KuYpbxbnMtDGzWgmOkVhgSImVhUZmDjw8oXj7XdaJs9fFMN3OAyoY7Ch5StEiZUKHAS0Ck6SZdIraKUy0JDkhZMgxE4Wg06OPqnQllStohmFKP2zIQ2LqJUPKJAVUCTsV1FKgKkNaLxExMBGRbmJRlWCyE2URThTzeREFKIhVwjQVjddIb6hPJVYa3p1WPDo8YDLXhKWgsREhQWfNtA1oD/2HhtoJ/E5C1/D04YLZPDLtepgviFYhBoecH5Od5tY+Im6ucasNUxNJSLSWvJsOebiYcGQ19bDDHCxR1QT5sicHT1KR1ghqYTDJ8OzRKdWtQ7UZNW3IVoKMqIOatBG4XrA6yWjrWegt77Fgswq0O6iXK5qZZNIpplcDtxp6BdpPEEmRk4C+zBeQGdtF+pTo6sBQRbwGHwRBZwgKnCmyqJJihVMJKSQLU3N0UDOvQG0TWV4X5jyZSe4JGoZa0F5l1pOyAPbgQCArTa5nSDmUyTsNh2qC0p76wFDlGhqIs4ByFbkShIcTpJwgVxnVG6rKFanRu4LdUUPsQOwkuU242x5xFQnJol3N8tpy8uEhJ4cavXQcHhl0TsRli1QNcWLY5Yr3hcQpz1EjOY4K0SemUVMljZIGUU+QNw/Y9lNivebpo0RT1XSbmhcXgZveEQ6aMo8IHh0zKZYqYR4VIkMgkYlYZ9HB4tNAyhmZMxNf5oRGa77z5JRDqdgJSXSK94gc64R7IqgmgtMlqGNYUOZWaZZwyhEAyXvouELFDWqbGKSjJ3K1GZAEHJmhKp6Z0ic2QqErxdHE8PoGjINJzvhJWZz1eIQKIANZJOIkIMlUXQGAyrjpsJXDW4PXEhHL3C36BMjyTNITVCqprUk60Ik8KELfkEwscjwZiTKhiMyDZxNkqfXqQCKhsqDKkj4pUtL4rPB6QCRBiBOQbUk+TYo08cVD1CnkbEJWZfGsymXVPmWBTZGUI04kpJcIqWCSkLcCERXRWrSL5DQusOUSCpP7SOhqMpJ81NMmj4jQHNRMn1gm1tJdS1Lvyf0AVaT3Bhck/TpgTzTUln6XWFSFiNMf19hrhw2ZpCvmtaJSAtlLnk6O0VXixrbMo6HymT4MYMpzPOxqhAoIWexZyOWepU9kaUBLrEyoHBEpkbIuMl8UWUpCPU4R0xShPEpGJAE1WuOEqMo8W0YCA6BRWeJRZJlRKqKVwOaAChGvitel+xUQp18ZlNruemKKxBRLYXsPKPr6dl+O9+dlL9zf8l469ef67De+eu/3XwYoibu37Q1vBWCkxKcyGftVT21fzsSRJbW3ipI5IVLCd56NbwmpdAgfcynq90vHf41m618HpvapZEbJ4h8zMu5E/nZIrzBzBEMIdM4Rx+JHIajtyJoQokiCUmnPPo7vEQXNSAiGKNj6ROUjU5uZW4lC4JPE5UQK90EzwX34b29Azh2bBNK9S/GLwM094KGkohrdlsv7ZQGpxg+rMSFKKjX69hSA10dHIr112aVS1KZIbaQQTOuapq5ZHiypmxqtNBp1d78YY0u4gJJIrXD9QAyhgBmpgBXdMDC4AT+mX06q6s5P53bX3hWxORdPn/l8zunhEcvJBHLEKokSsiT6aYNPqTC3rEUbTWMbnPN453HCMQRXGBch4WPEpUg7lIextRZrLS5F/HgOapRBti4QYlsihlF/ftnSvS3ljFWKpqpYbVs2bcvgR5YQgsrofUcAKbhcb9j1ju3geHp8iLJ2ZPUJRC7ckUUzYVLXTJualP3YH8uYGHOR9/Ux4FPCxdJWSmm0ykztFCkgpkjvBkJKnK02pWDP5b5aTqecLpYcTKY4NzB4h0uRqqooTChNXTVoJZnW1bhYkIlplD2L0jvTCFb1zqOlGs8hcbvr2PbDXf9+K2WQAqqmX4ZKUcAKYyv+7u/9HZ4+ecR0OuXF6zN261tc36IUDFHgQmaz3oLrid5xsekJI5umNrYc6/iv73u6oef55Q1vIRjjwe3l5BkIMdwtimghy/nmTOE/lA/tWZH7xMS7oRZG0DK/AcQEVLowhPbj1l8FYOrPcw98HViTUqJGYCrGSMoB4UukuJCSlCOVUUgpaV1i8OGOVSo83F9EKDmpGSkKSNhUisrqwgoEHj44xhjLZ8+fI0kl2ZDipxJS8ZpL97vXHjz+tdrk7fO8d4R3f/jLJmOtX3fc+CvOU8v5NKPOXmM/0px0Hb3WtNaiJh1d15IuEnMi0WguqwqmxxB6RL8pAHk3Q6yXmPpVkcNnkO0jouzpqxuerAY6KbmwloYJEUmfdszElkBgJwT5Zs7WC7Z4JiSk9NjKISeJus/MneOqrrFEDqSnpyLKgK3WDAc93mS2GbLzqEHRbBsGM9BPJM+toroU5F7jhmOycMg80PiB1nQ0auApLXYt6KXiua3wjxwxCuLnU+rs0Sqxq0bgspekTyp6uWSYazYfDpjPt8hNMeOfHVxhiVz+y8TH08xQg2wE8uAEZAPdCVV/SeV2qLxlJp8imDO4AWvXGN3hugG/q4hDsRWovEdGwYYFS65Z6A5zAi+vGzbeoE6n5NcSsUqc19eEeYa5ZTdz5IuMWCequkK4TBKZs8lLaEBYzbmewDrBLuLcKSbfUMU1w7MedaGpLhc8kdfciMy1Fdxay3wwnFw3XMs5kddU8jVP/yASTOC5jUyGCQwRguPk8Y6qSsgk+eOvZrwODi87LtQLrBJMMty8CMyHyPtRcS6g3sLyNbz6MNN3EndumP9wyc4NnD9f8y+nifdD4h+fw99/YPipzPwLLeAwsG4TH/+p5smwwIhARUs/zJn2A4+2O3K94igMVK8keAFZo9qniOqcHDJsGq7rHUqN8+vOoNUCO3yHi+0fYXYdD6Xgs3xEVyd4tOI77weOa8FjP+WP/vuH+HXkO+I1n/3NJWTP9//FLTcxs2oE9RTymcYKwfHU8cH3njFLEzYfe07+9oTFUc2j9RT97geIxRGxOiDKFyA6TpgyN4kcM19+GFj2B9Q7xVK8ZpjPCUpy+OgFXy0mbGrDIZojWVQlH7m/yctXv8/1V9c8nkgumoiYRn7v+ojTB0+YP5hgXnxKmjfkiUV9rkhHA3LpOHQ7sj8ghyNm9hCVbpDDmoN3XtNfaYaV4uagwY7pkV8Zy7SBhQj8k6dHfHR5wMfXA3r5OZNJZGYyT/9fiZ+IgTPlWbx4hyFmuuyhV2gTMKbsi6mDY8erQ4FeacyFIh5A7iawOoLmEh09tXecLTJHVvN+0xC2X3GzqukuK87xbFRECHgYAps68eIAvvqv11x/V2P/ccU/PshMskf0a5LYkCsDkyXLF6CbCv3wAekkIoNH7xL0gpgtQzchzq5IRuInc/LNJXImED9ccPq6QpqA+MEN9WNH/2VA/LcZ76dMbyqebuDJ31pysmyorh1SeFwe2F7C0k5h2rD6Ww0/+NMpzdahUoeYTmCqeHCcyIcrUuOJtefw9QfEVpHSJdOj4i+3uxr47z/dEHWHf/AMcw7NruOxc1wYgReJR2LgRTa0WXAibrHhKUkseSUihisqdhxzznpnWUyW/Bf/5D/j4ZMDqnnNl25DfjXAbSBmzd97pyzU9lIwbCWDF7TPIt3lOf6mZ3r692DxCuwFzU8HzutLzvINf/j6JeeN53KeEQtHc5axN7B6T/DBYsFjecj57RmL1HMaI1cnD9lwyWU4oxpqRNJklxkeRg5WgkfXcB4sTeiYxjXJS7bCsao3TJIl9Jnu5Yb0TJNRsDkhXFhy3BGra7K5YSfn7DgB+yUpZty4kDrrA4cbzyezGb4JiEmH22bmfsbDi1Neh0LyuF1ZUr0j+znb7ilp9glV5VjUA/3hOWFjSZ9NkYsjVHRUZxec5AGXNa+GKU9ZE4TjnAlmY4oX1wMP67K445ZL9G5A9h3sdrRpXuaG/TWT7ggzk/jvXpD/GILPuEeeq+UZPqzxqxVaXdNMevoq8Pr5gl0XCOmCw4czBr3k3/+7nh82LfUy8+XfNLy3S9Rt4vm84jvvDRw2ieql4nvf/R5ibnh9/s94aJZMVwtmL1/y+WO4rRWJBrnYQONpd8D1FLmzLIczvHtIkguSdSA2kDrS+paYK2RdUir9kSfMBbh3MasV9W4HHuzCoevM/ItTej3Q256bw47TdeBkK3CiJouEaDoWD6C6AnUOz6uKYRYIU/9L50m/MijVtbufe+1+Ktx9lsdfvU3cma4L7hsRl6S2N0WIGP0wvmFGC8WDZL8ajMAIRSTjfsXzzner8yWJTIrMuEuiGJlTYwFOLqyglNLdivRfBaP232zLWCWLzCnumW8j8PNtfLM9JigFb7glBdXem0HHVJL4yIzeSAWVH8L+W0uh0/rMzmeezuF4kjmawCdXZR9KQXpDvvj6Yd9tWsmxr3+Lacr+I6IwEJqqHkGG0bsJgZTq7kTi3ox5LKTLylIBsu4DXilnJJLKaA7mU+rKYmxDXdcopYgpsVq35JTQQnB8dEhlDH03MAwltdKFgNFF1jc4R9cP+OBHD6Tig0QGPfQgoB96tNJMJ83dvaOVYrvZcZZgs2uZWoMZpbzwxlAYrehTIPcZIuRIiQcOgcEHXPD4mEi5sCyL95a8u8LlHlHluiuFFJJNe0v+BX5Cv/YmBIwSt9l0AkLiYqQdPLNmQm0r/Jj2uTeBttZSGcPEWnJKOOdwFCbIPuXt9eoWtVFUxkCO95hyeyaJpAuO3ge2g2MYQX5Fph6lginDunP4BNaYwmKSgtpodrseomCz61BKjqCYvivctSrpiBpBLTUBSDKB0OO+cwH8RnBVq8ISTCnjXHzLFHp/7kAxBP41Gl9QPIvOrlagLLNJz9B6BDXKaNqhI6aAyPD06AQ9jn3vhsCm3dH1fTFgH8/LaE0/9KzbHc8vr7/mb1UAkidHR9TWYpSm98Mdey34gFSF1aa0phsG2n64ux9KVxi9kdK+fcZFlTyOTgIUpQ+75LlvUv+Xvf2mHmp3+xn/hTF9QEmQQpFTpt22/PTPfoZRcFh7XBQMEdY97FMwcxw96+7Bc3kP7iHQWjGdTgk+juw/x/nVLdoa6knDcjFFScHFi5doZdBK4qP/uWP8+nZPRfkLpx13z87fpJH+grZ/88eepMv9LI4cU5dpBjjjIeCQ9Nz2NdJHjlmjgF5MGeQhYtHSbDqmq4GmeUAnDOs8vGlswNpLYu0ZpgP5TAPlWbVyGpMGjlixYYnsHYuzDZsQScICC4bBUZA6jTRnDEGyzlM0A5C4ipFdX1a3ZbWA+itk9JhLg3vkmNaaZ3nK2YuBPg9Ee4MIYRzfb7iqPRqP7XuGJhOU4GqTeH9xiKBmuJliLi6RZJKY4Q+u0CbwqG1Y1wtSMBwPsLEbrMr8oJ9xHQIuOkyE67XiipqOBTJumHY9zdoxrFu89AxbSy0jlbFc+BNaDJKOulohZERkqIB+phkmGuQW1hoZBOLhGTddYNtnHp3DwkdqPKtXK3Tn0Qlm/TG3w5qke+Yvn9F5QciJo75ioGUQjtbMMbuE3mSGvoN6B8cdVVsjiIiYOfjsljrMsWrCJ8eZPEj4QmPbnt4MXNmBH8zO+dgnrodj/g2WeWr5bb/jhYrEgxYx76BKrFdTNl/OOf7tDXENl5cVwzIQ1gJ3pkgRtkrRScn2C4shs7E9J21GO8FNzhz85AYfIz9zAdFUfDXP/FdHA/8LK/hehpNg+H9edOyagPuuY/OTS5xrGOIR03TFRFgE36Hrv6S3kjSfcPX+BbutY/5nke4kYULD6espa9Hd+Wj6A8+i2fF74QLxgSEOhuFmwcl3M7lRZP+Qk8MdlahRN4/44cEZ28mOi9nAZFqhqwntP3xE/1MFG3h0NuC3N1jreBwk79oHLI9OaX9UsdhGqhCQz1o+Mo7Wr3knveDYNVReEYYzNpOGgEH+a0Ez+wJtMl8230Wdf0pwt3x5OEd+FEk3go/RvP/OFYvlwLvdMTkbro/m5EcPUHaLEonVi59Rpx75YkHdrxDbgFhYeLKB20haG3Yf/h5yegXyNU6U+070B3j9EdlvySuJuP4OuEsUl/xYXnFee67SgvZPTzDNJe8cbpk9ecTUBCrv+ZNVzU1aU+sNJ/kFGy3BSBaPevRmjrg94tXDrwjDFHG5xO6uSLXHHw+8cynABTxbLqYdQ47IAGIpx7noEeJhpF3fcnE28O4/nGBF5hiQZ++gbIdeXCDeO2Z2YDiRO+S1ZCdmOPmIajegkkauLauJR0SBeiEJvkeZjJlZzA5E15LTNd2Rx7WJ/vKGzgj0TjH/I8Uw7Qtb7fWWj84tn7eG+rHj+MUlB3rK/P1n7LoG/apiedaSP1SkRYWYTMkXAuN7npyvqGJGG0FVK9KtKw+TaSaZGVEngt1gVI9VClOD6AtrtFcBmoyVnoNPnzOLCTR8/rRiITx1iJxdF+NqS6alphMbch7Iw4Jw5BG1x38O7iiwexL46HhCu56xvJoQ7QzRJ0gB4jXJTMlas+CcdGrIUiJyS5+fMRiB+M4XsDKwfoR+4pg/mHLQLPivX/wB7lpSbTSDzFSh4VRM+EfyIfNnB9jFhO//gwa76bGrQP/yhDBviMtj5Afvcn3RcX2zZf47GX2R0S8ynRGsD1tuDzpu/+yAI9Hx8MGG6aPIocsc9II/eGpYrVu2ZyseOclWBq5thK8eo3JE2QuGL2tEMthYsTnaciMj65TRfUB3NbgDprtzZAzc5g3uaUulIwcpgBC0reSmg/lOYJNGVxXHnx/jQmRXr3G3z6FO2KeRs8tI6CS5zaxqi5BQc40QxVbGbxMLBpKTDC8FR2ECUpFcB8ZhG8ni6THrZoPXkUc5cC7eR97CO//0Mz7+b/+YaqE5+G3JrdqxcZGXF5ruRBOR6BeZ8y93xGwR4pB06olNj/7DK/q4oH7U8A/+3gHXnwtuXvXolx+xvr1GLi2Pf+eYHy4PMGvBf7W65N3bR/zA1Hz67BO6S48/ywRbsfQOLQKv0hxleuq6Z/Z0YOMibkg0q2aUJ5ZNrzRyA323wkWFlEvEOwO5leQrzyHX9GFKHw+BJZvU4W1P0/eYhUBPBevXltBAekcgnh8gbjSs1S+dJ/0aRudjUS3EWz/LtgcC/nKnfl/nO70lExRv4s5zLmbESkmsUgzeFcCHYl57/7P7Sfqb08tvfoysgX0CVN57A/EL58X3jndfxOyT4MSdv89oDISS4h4rgrtP7L/krxlhChiL07wHA/clJm/kj99wPvd7k9hfyP0fKEV7MSpmNMu+/54C8OxT7sgjcCUEOUIXwOoCDJYUwDcstp+7mGK8brlI6pQQRHEfRPv2Pp8pPkBKSKRId8zBPSiVAZXTnbdPFoVtk8ljGlrJWWP8LiUFVWWZTibUlS0FhJTl/GLC+cJ0SgJ8CEgpcMEXz7eU6IcBazRSSHwIhPFvRWwgxkStUnDubwStVYlaFmO6piiAh/O+/D+QdELJkk6yBzTEyGzJlEJfpL2fVhyv7ZjCiAQJRmkQmSzHuyRFyGW/emS/xFDYGW/1rftsvD/njaGVpDIGIRUyZ6SQWG0Ke2nvhycEUolRYlhkhjnvjZ+5u68LwzGNfkf7ayfuzOb3oQ0uJkJKhTUZy/ukFIXJkymG70KitWbWNAgySgqsMcScGUIgkrGmyFCULG2/B8DyCICl+CbVdNSOlr6e37SbFHKUXydiSGgpsUZjfXhzS2Uxypa/DSR4c0/fvUYxK75ZrQtLpqlh9ElLKbEbOgQJJQSNMEgtEKO5uFYKLRUhhzd7GwfmtxZD3vpN0FQV07qm0gbrFXEPSoU4JiuWNq2Mobb2bkzdj8l7UCrsjcz3Jzy2Q4qBtu9xJT3hr/8m3voxSugKq9WnRHIDQcFUgssCHyFE7thLkEtqD/txMr8BX8c9S60LfX8E3ns3IGOkqg0+JKIoEuyRTHh3Tfdeb/sXhSzm9wWElXdsquIx93b/2w8Lcjy5N4b3/KIh+z/otkkOIxJaAe2U5BJRZpyNCB3RJhHQTEKiFpFBKbIESaJJijpKqiSoosfrhLAQXQXCQ+XJLpFVApXolcRJiom3iSgfYYhEGdEpMQmCbupJEVQPUWTIEpkSpgVcJpOYJk0i0VqIKlI3iZNDwc5rnM94KTgQgknOKO9JoVgRWN8TKcl6lpYgikRurjNtrkko/LSwnnVOJDWQtEQlmIpYnt1RQjDkmMkiQBPRukfbhEMzzYqprKBKbEOmj5msM7oCKwTzThAJeATEKZ4JWUKsKqIZENJhxICMAmLxwIPCflepMF2yEGR6vLAkYemiG+X+iSwjJVZQEEXCDgmZE/UQICeCiNg6MDhFjDU6CYSGLCF7DzoidEJMevJgSM6C6MgyEHOAmEnekl1DSArvPKGNZCxNyBxpwToYgpJ4kyGByBmVInSUdrMRUulnQ1OYojpI7CDYmURKghglVWfIKjJUARUtclTZ7/rEIGClLfUAbgKXleTaZKbOoIYGJXskAeEFg4wEG0jWU+8cKit2FLuELAViolBBIbwqchEVEEQqG2hyxKXEIAVJJTyOTbvi0aHFTAyumSAnAmEFVJJJk5DRFEmpUUil6Q412oOSGn18ilqsEMnjk8U3UFWKR/URs/mMZlGj5hodi6eoazRDN+C7SK6uceIUqBC9IFaSIDK4HSlsiELA1pHoSbZHqYraC2SfSMkgtomoI5UcmM01MTWI05q5r5EOguzocovOFmqHDRV6J8k2kvtE2iXCxiOnHmEdMUpytgihiZsa6SSCjHU9ZE2US6brwKSuaSea6WTAC/Cx5oEFZTVBWnaxgIxSSPxClmRCVY41UxJFBp1hkEhnULk884MWxEqQRST4Hh3K4mAUCkSiqjJHy4zpJsRBkUXiST3Dmsxct0Qxw1IxNYLeWia1YOYgby1JV8RJTa4mpKDJfkKa3EBMhLUiOovMmSQiuUrIFBGdJ99UpCAJJiFSDzLiVUQKX+7JZomoOiYx8ozHTBeZuqlIT2qC6elFJM4ytRDIrBBjqrKMiWobECiyEqQ7M9BMyg6oyvs7SxIKKomoDfFWMURJt+ypJkcsaoNrb0m6wilJ5wXHIjCJGY9BMRBI9EyRwpHFUIBqESEKBqUIwRAHS9dGrrcDvhPYbMANkAbiZEtvBElVVOuAaDSiUshUF/9LlUiNI7eQlSDHGu08deoZciJKgdIwaTPCC7xUHB4vmC1q7ERRn9bIukFJTdjW5KkgNwZp5sx0xXJWM5ECMXPw2BFqzWY2ZT7xLE8VUhlsY2kOWpYpswiC10cL6D39biDlAlKILBAhI3SAusfcTjHJIIUmJ00QAa/ARoNIFmRDUoJEIkZHso4kMikImiiIISJlxyQ2GB8QfcJ0ClRmNwtkhnGxXBcQRGSSShgyKmcMA72uiEIQh55gy+uzthBIinxVkmwgKUPqpzS5AM4hRgYpyEZwu0nUw5ZqLVFHNT5FnMqse3BDqReqHAlCEQFLTxcTYQC56vHGEuaGg0Vmt/R0g+Oy1uR2QAfH40vLmoHQw65OiF5hk4KYUU6TB0GSkmQj0Uai1IhRAu1mHrPNTAPELEv7EWnCiHcKiahK0rUQguQUyUlikLQ5kHPECI9zBm8EVJmJF+iUi+QwREIs+7YiYWK8S7r8RduvDErdLwR+fvvmYvA/Bqvnbt4pyoQ0UybMWkuaynIwabhZbxm8x6dYEpXyXh+ayfeKtT0AlEdBgh5BqWJeLO4K5Dfv+/n57tux0+VfEhk1HmgYZSMI0CMoBeCzIMYChuxZKn/NsKi3tgJOpFGyKJCM8sfR02bvMPV1WVw5/9FzKb25Hvv3pT2KuP/MHfgFYURWpBBv9oHgdVtYJ1YBMiMzRVfPzxsX572Eh1xkO1ISxC+/scaTHkEIhZAKpd4wZcQ+wS5nfIh3TA8lS4yyCwGpOmQQIIp8RmvNfDrj6OAAozW32x1D3xV9sxCEUFINpdas2xY9KFIoXlExJQbvca4kK2it0aPXkRhZhFCwoJRKeEGSiqayWGveAGojMCVyJsWIC4XVoGVhSxSfooSIb+6FkN4UjVAm/9IYTCoRpylntFB3bRYoHkk5eow2SCFJOdM7R4zxawzNP+ddcU+uaZRmWtUYpVFCkKrEIMOYBJhHKaMYkyMFZgQ1ci7YjlSjHJUxhXQ09C+peXtANmGURGYKmqoUSkga5B0wbrXC6MJSGbynSgmkwhhzl36qlUZIic+loBCpgJkFmMwImdFKl8Evwa536FEBHFIsxvaiJDbmsf1SLp5OIQS8j9TGsmxKKqSPBQgsYsaR3Zi4nwv5DU37BkgPMfD61StuLi8wSmOMGcGJktZmtMIoxbDrMMag9mEI3uN9AU3v+xT6GOjc8IZZeO+7MlBZS1NV1MagrRqlaCPAO75XCsGsmaKUYr3d3o0l9SjVvO+V9AYDLV6CXd9DzmzatjCp/iOypfbM2d+MQVseXooiSySPiYg54XNGaUUWsB0KyBzG65DTXqJf9rK/nqXxMloXOW8CkAqhx8me0fQuEJ0n50i360r/ShCISPE178jyP0C5bpUppuxKKkIuqY7FX6y8L6e7XooUGSOK5Hrny0KSGvtJuvec4N7zZA8s77f7zfqbEtPk8Y40EbhKwU/fJYotXXVLWl6CgagFpIaJyNSDZ12VWOoqXfN4/RjVC5JwMFyTjyE9lLifvg+6Ix9dkS8qVE7YCNemeOe4hUNMWtIWuouKaG4xHg57ye5JB+2O5kVmZxtEKmDF7HXxCBHCsQiPWFvF1ayFesfpSeQf/Zbi439WceYln58O/I0oUG3g/PaG7aLYHBwFxzZVCDKNGHDUVFrwcKK47Y/pTU16bJDnLxF+Q5p4wvEBJmgebzZcbQQBy3qoGNyGWA20xwOzDNHCvzcDvytOOdSW3eOeo5cr9NDh60R15Glk4nirWB9EgtHIzQHX+0W+gwGx3IDe4VYZu7OIKDGAHHpIAuuaccRLpMuESHNSmnBbXUGGrBPuyJFXhrRTDOKWo61nFiKOV9QUEFWegr85pttOqcMlYeHxk0S+HmCnEcMU8VtrwuUU384QD9Z0w4DsIyfXmbWYcytOccLRDFfksOXFzWOq+owfHVzz/MpwPh347GBHfV4jW5A7iRigetLC93qu/sTgqkw4TLDLNH3mlMxq4sArbGt5LC2d8NziiMxJeDIdnytFmBj8vOK7L2/oEHR1xZ9ZQdVPYHUCy59gXUR+WeGEJi4T8uSC+aeZfnC8SFc8IKGsQB0Kjn66IHSJ50KCfwnSIWa3HK57ugwXVVksuBoG/kV7zv/q+DucHs+oTyrSz5bQg3y6w08y2QUk50R1hKynLB/A7LUnqYqr73yIO/p/09kVL+QDspMYU/P9kx9RPZmjZonp7S2rhaK3Eicb6pcbJp2jPtxw+3AK0nB0cwg7iZQD6eA5u0agveHg0+f0PwqoY8MHNxvswqNyRR4m9M4ybDO8s8W+Y5ifLjg68ZgvP0DuFvjjP2T9INEdBU5mkcVlQG000WvSCkIviF9+hDjViLlCrFpETEhfo1+fIImIymPSF+x4ly69i/70cxYfNDTvWE5/50/5+PMl61dPeD99waWe8kLXRP5dWUCQlsv3HhAY8GFHf9uSx75PzOiYSpLn0JOSRHjLq3czqfPkm47TW0FUmr6yZN9z0Dg+fLph/vm7yCyZmoEn1wY3EWwPb8gPB6p+SrM+pTLP0SmT1xXxakmezNCNRj44Jg+WsDrAHr8kdT1uBfBDsooIe458WAAGLjXq+VN0XSMfSQ5f/BmxGth94JiuEmmyYPf0Ozw5/oyTqwVPv/oQ9W5ktwh88f2WmF7TGsnFB8e880oyvQTba4QXiCAL4CQtSQuiiFRTDTHRekedEnKwqPWCoapJMwFzSfdK0XrHzfduOTr6AXaXWU3/HR/HKddOkl9tqKXnUGYOOGKdztjkwJpjjL1G2h0sz9E7i3KG1oK/WZL9EvX5hku/46pXPH61IJsrUrPG/WDHbTPBUzF5oRBLBXNLmi7J6oZsNmQn8WZLmETyzfuoc0PYSOLrhG8SLCJPv4Tr5HjVODY/qmk2EX3blzFMniDlMea9NQSFSBY7icwfNDyrl3T/TsDiFvn9G/LRDNYzuJ2Q//bH+PoIbxaIVYtuMnIu+F7WiNeBq1dfcTWpQUgqn8HcECcRt/Acbg6QuQDX7GowEUzGDQtEqhBCc/tQoGLC7gI5ZpyX3N4YmmFAy4HKXrJ0j1C+J1y/wjAQpgH/wMMOcq/wry2PUiIAl3Xg2HlMSnjg+fQQLyPZbdidKGZO8s5G8nkaGPJAnQW+8QxJ030y58eThEqZn+22DM/WhCl8ukk8dYLZOsH/p2X5RDGdSNgJ0kuwKXOCY/fOAqcl5vo515dVWZDuO1zf09sG4SfM37tieOj5Q/GQ+MmGyWrgyf93zb/Wt1zaSH88sAobYue5fWWoXY1G4mi5WUbiNKKmjvh6SddXXDQdR13iKAo+B7zyIALLHQwZeqOR35lg+wHVDmy/UmRTQNrnacKCjgVrLt0hoemJM4cIDXUf0G1Az3pya1EbA2bNFM/0VwiK+ZVBqb+Km2Dv88Qdi6kkAe2X8yNSUCLsZUbk4lMjRqCAsfi+YyilUniocZU3ZYgIalOKxpJMVtK/QgJJLnKre/SlbwKm7rYRYFKyrDbHlAk5FZRYlBSk+yv0exmauJcGt5cQ/rXbRjAqplTS61Iiju13j2ry85/Z4w978C6/AQAZPwrfXDAI3gBa+3S+AvAVcKwPb+/j64Xd/VV6mSVaSGxlENKz7gYEvwCoHXe1T17LvA1QCkFZhc25pKZRTiqkAgIMLqKUoarHlQRRWDo7F/jy6gatNEbIO+YAGWxlx++TpBgZQjEoZyzqtQQh1MiUKQeZc8L5iBCFoTJrmtHvqQQYKFkkIELJwvQRohT8qvjL2L38iVTkp3vO0LjCJoTAKgWi6GRDKFChyKXI3UtVxR58VAWEQ4CMColg2/Vsurawuv4CZUsASmvqqmIxmWCVJI+sI60CYQxwKGDUm76klELKkqYn7zF3MqNPXBr70gholj4fGUS4A6b3ABd59CnLmW5wDKEMyTElpNJUQmK0xIcCA0khR8nZCHbFSMgRqRRdDiNw6suKnyxAvAtpBCaB5O9YMHJkoKWUSEqS0QQfsKYqrDGlCGmU8zECDzFyu2l/JSBGiMIUXC5m1NaipSLmiFaF4VdCCyIpRta7DiG6AnwqRYjhzhdtnw7pg79ry+PFnN57vN+DTuW7rjYb1l2HUQo7GtErKVD7finyyMorAHPTNGX/5DvfL0kmx2KQK8bBRmqNGlm2d+xJvnnY+svY7gNRvwkgdR84FpRFknC3WADSFMbILqZxkSTfjVv7RQRxd8uO4OweIBUCFyIvXl+gtUSPTM99kq5WgsEFUo535/FtYOf+uZmzIEbIKWKtpVYaoyKdc/gQx32X+/LRVPDuMnNYw+e3eyBK0HlB6zN9gM698a/aQ+f/wZ6ul4+wYksltzh9RowTXP+QSpwRjCPoSO0cfR15+Z7EPT8o8awmc9ZfEb0gsIAHAuNbpp9sEOoC0XvklwNteoDUDhkSRweHdLbn2njsWUC6whRbbAVRJT6dJg5fPKNpBurvXrGOjhrBA+DlROC1QSjL/KdbTC2o3zmgmi+Y1hrhJCffO2fYBrjV/Nn5konzHHGDyAmfFNtkeeAjXiVePISn7yimDuJHmXx4gUCgngs+9g0+HyKCxqQOcuaKE9oMEejJpMEWnwo70K4sMijCE8u1WLMbMi/PFF1dTL1rM9A30GZFW89xq6EY9R9vebSJVD7wuu1ZzhzKwquZYLELVBlefyDIa8OktyzzA+TRFXHSMeQFk/Mdpt2xFsdo3SLx8OIBi3BDI3a8OAK/ybgMLw+B3RGECaJ+CXVL5cvizdFN8dn4IoM2AV1FnACpW2obENuK+SLSHDluX1bEWaSZ7egxbGtDbCr8coP5SiC/mHMbX9L1nrROkCDWEd8E8hn014pVp8gBdBJIp3ALz9ZlApJ0/YwUAyl1CONp8gBDz8t6SZ3gkXNcWEvuA9InbDwi3Ab0Rz2fVQOkDuFuwEtMarBiRjVc4NeJjbe89DVIqK0jnRYwkS7w8EFEb3v6yxXp3JGV5FIHhjoRDcRpQu8Mk6lm9qPI9XcU0s94/NOnJHuBmLXoo44+H4OG6r1bXs1ntFJjHlYcrS8ZXMefbQdu/BHGSf5+f8vP/AFpueRPns6YDRfIlNmZR4gXR+iYWT74DDVZIKYzVoenrHImuwFZz2ler0hxzfX3PPV5ot5kTGPZpYq+jwi3YSY6qkmF+k5DZQUmCfJXA82RIc4N8ZMK/bBFv9uxPPtd/KQn28Di4hjdJrJPpPWC26cV7YnA6AsWZy31eUI8y6jbClYNfZogHyXk0iM/2qFcpFLXiP9kyzCVBFWxffGfoA62HDzdInfvcHl9xUebr1hpU7iAMWF++pyUazKWStdEPyUy4+hyRZ0kVmlePJTM7IxTdcjrswtcXxOGmh5BFg5ES30gmZ/OOHr0APHigolLPM0JYZa0bsJw/j02v32IFS2z9TnOCzisiU9m1HpLtpYwn6JftcSmpX/nCpVBSIM+zpj2c5wIrDY7xIlC54Zqe0wSAsmO2bBlUAvCtof/3w2YBcxAmTPU6RZx6Jg9XuP/4BlGTVnUhsV5wwTBnJrmZoeKoSzcpg5ZC9K7U8xPJHKnQMzxuzXBBjbvL3B1QA8RdSUR/RZhI36e2P22pu0j6ieC5dMr7MNIfFXzuzcPcWnKlz+OfP/LS2arLX/q19x6GILkXf8V3geGIBnce0xPrmkOWuSXmY1a01SKQ3FIPo4kEwgnt/TzGUkecfrJgHqocI3ADwPDzYbQ3yAXjxA3Gc4rtmkLE6A2xAevkV91DKnnt/7x38Bcr1A3G76UA/MUeabXiJ++5ur2Iee7B1y/8yVP4hWPQvEidO4BIbzHkfwUtVNIaeHvRISWIDUXM0vVWKZTi3IPcD5CDPQPBJpDqnSMST8DlQlN81bh5o4cMkiqq4pB74gm4pTHpBqTMrgam85JUhFtxXxSk1uPbztOXo01RUxcG0MYiyKXXpIkbEzFVF4TIthXFhIYWzN7fIzqnzO00N1OODfANOAXnsPrK5SB8EixvTbEIfPKXgKJKklkP0E+Lotr6WLLTzoQRjE8EKh2g5UwTOEyPOImS8TBKx7cLjDecCQcF8eOIcPnF4ecbnc0OrKr65L0CoSm4WGw2Fbyz/7pK5rcoXPgu0NH6CNBGP40v8PAFSZ3PPZHGBvwrDna9axPHH0lUVcKvdFUg+LEeGxVk9SMr1rL3EFlJOofHiCvnpOvr/HrTPd0CScN/2W45p1DwcFTwUd/Y8BeZeQtfNkPiLohqUP++CcTdjExDMX/8WaeubWZh1eSnRTsJBw5xyAl11X1S6dJf41BqTcrmro4tJJyZlpXd4VW28cxVr4U3zFGnHfEFO88MfaT0H2q1B24NDKmpAAtJEJkXLzHLiCNs9dfPIX9ecPvUXo2Hlf57vI9b1L2xgn/vel5vquA/uoDUt8EGuxfSSkTc5E3lbaEt92kfr4keXPuZU8/1+zi7e/8+u97UIp7oNS9Rf3CQvsFzbr/bJEOKaT8ZtP9byoOtSrx6ntQqrAMRif7fREnGdPM8sgGK8w8ozUqF+Bun/ImhChylRwKa0bvTdP3jCyBFoIk5AhsMjJpMox+RUU2Ov4tZ0Js7+6Du2NFkPTeZyojlbqToBmt7wAqEMRYZINKavYJlcUUfV/0irfYbXvpz15iK6UEEd8wX/bgj5CEGHHe0/XDN7bvb8ISyTkXGVdlqa29Yw1BOU+lxmMsN+cdU0yOLJ19hxLj+LDvy5kiaZJCYY25Y8MN3o+SPu6kfAJBFCBSHkFOMba/xMhMloKUxR2DZA9yFkAgQ053cuIRm2TEN8d+LQgUoKF3HqvfGIHvr20Y2UT3Jc0Khc4GmWQp1oUosk3xy1c6vn59lFZ3xvzOJ6Qo5m0xFrZdjIWZwx7ITAn247MYbw7ejNNSCmZ1hVYKp8vCghjBwUwZY4JI2LwHGcp1UnJk+o2AqpQCa82bfY9tTy5SxiJjK1dEKo1UCjuGDPxHQ6P+A2x39924KSlLTxQF4AYIYQxp2C/YjM/Ku8+mse+PIF5OYxhc3hvOK/Ie2JYC8r61yz6UKAmYAvBh7783Ht/4y31Ls5iK7FWxf5a/kalq8ea9IYKPYGUmJEFgb3ZfQhtqAyGKse9/bZzizZx5L2/+TTZZFnupUkZUPQ6NxzD1Ep8sgweZMskUyrsQRUInyHQhkbMkyv2drVGioU6CJCAYkC6WRKwgsT7gZQKpiw9EAiEiBZ6VeAEpZGIWeKOYu1T80pTk4dMZQmpEq/F6y5ASuoOFjEifeeEzUgaSjGSfyUMkxUyvFCIXKUzMkkBCCMksCZaVRZNZZ0dVB1SCHATbxhKlRIiEiAni3mcxg8jFCy8JiJrUGpKXZBSi12zTgJMRqzKbrMhRcqAzlwO4JFAktEugwM135K54oOmkEX2RFqoEMkRIELJCJzWOeZEkE0FmaBuyaElVJGkwUaEzeBNHFmyZtw25aPMCY4BLDkQFWsUirzYlcVbnjFgEVEzoFHFbWxgaMpCURqVM5RMuTxAxo+IWpnOiiQwysW0cQnrwkTaX/qu8JsaaKIpv2bbxpcjdWqQMoDNUidxZUtBEZYEGKzsaIt0iIToPm0QyljjJhANLbGfYmJnGSD+Zk3XHoWy53ZWkxEhCS43KoIMqXjtAajXZZIRJiDrgTGYnAzd5x6ya0XtBYgtjipNTmb4qcxTlK1AJIzIHnUTWFqzCyMR2OiHNwTQt2SukBwaoppqEwrQJ00BSUO0CsjEIXaPawCENqmmQbUXUmaACrQk0wqOzYLqrSXFGlhV6E5hOOrJwKNsXWWRQTHtFlU1hj58GrFTkvqLbKpI3ZFWhjj1CJNIgke4ApTtkHanVFCU6lMzYwwoF5G1E7iqC2xBijzEG2VTIqUYNCuk8og3oQSNiLCcrDYSIGBxiIlAyQwoEPDnuxlH1IVYGZqojB83u2nHzesBV5aGogmAyaJJR9FaR3ZgSafoyPqqymJ9SQxAGb0F4QeUzdUwkqcq8FUE1O6JuFlhpidYjVMJKTxIdptNMNpq0C9hQmBhq0pCmFbGxSOUKEDnpyKZDiB4TO2RbI2RCLRxVEMggCU4TtxbpNOiI0gGlI3aIDGmOCBYz9PiZIdZFIqmjxATJjAFnJMooosxMUNRJYCKICIiMnEbENpKzxFcJ0RhU0uik8ZXEKUF3G9EnxXIAaZHak2Sgu5b4hS/9NoAcF2HSpMFQGMa6OeTk0CFVwu1uiL4AkXkdR29hQd1EqBNeZUTSSBkwuSfhsE5BUDgfiU6DtgTtEL4swmznFZk1WfbEbcKkgFQO2QpSA9lktCsyRz2RfPBgTvYVabdkNX3JkYmc1JLgK1SuQFXUvSmqoFkieQVWluegimQnIVh0tUZUkqwbmiQxIqL1gNkaEJpkMmhN5S1VL1moSCUToQJMAdPzaPEhgijS1GxAZrKMiBSQSMiSPOtRKWBjQjoLvqT8EkYFgIAh10QkpMggW4KQdMmiVI9IUHeCPhsyihQjOzKDKAuWfVaIJEhREq0Dm0lyzwSPDKIk1EGxghFOFQsT2aNzQqvE9HiCW03JQrBYZrSfknNmeyjQW4n2iqjtyOzOeCVwQ8KESNF2Z7ISxBqGYAhJcXOzQ4RATQIdSKkhixqRHUIqhLKEEDnIGUPmKlXk5FHZoyOkVBZnZ1YgvSfmgeUK9JCIIpF7jyUjDVQSmGTEPCFbRzASZySn84gYIDiB2ClktAhlmZ5KcAI9wCQngpGkxuCiwCVFVJKIIGIJ1L90nvTXBpS6U2l8w8SwqTQxZXoXOD6YY5QkOMen7TBGyyckEEQqkpA0pi2R0XksjMUb4/FiMF4KvVoXaVKp/97Iu4QYU9nuAKZfZSuTdhczMpeubUZvZ7H3NhICmcuK9d54vczR/uqDUb9sE2MB7GPCpXznOfKtmMJdlT0W6nfg0wh1fK0zfBsw9bb0NMPeljeXSf+3cR72wMkeMMxSEKUg3QFKe9nh25+5+xYlqKoKow0xp7KKn0of3ANyCYkU+Y4VVzqUwKjikbCPazeyMJmMKbI7KUuCYKVU8eCRepQaZWQqqWXldUF6y8F99KdSGq00KSW8cyAlUpfXlFQkXe6ZNLKT1MiqgVHKNrJKQkq0/UAInsPZYpRKygI+jOmIIWVifGPYf+dPB3dG3T7FAo7EfYFbtn5wdH1P13c/3z1+U/lSzswnDYtJw7SpWW92RU64378swNQepJNylDiN51BcBwoQaOT9fllSM601PDo+LlKjEHhxcYnzHjJoY+766OCLP5GWEu9jYWOmdNcfMpA1dyyt+8df2rH4uLxpGHUnO8wU2V7nPTebDacHSyqr0UKXRMQQ6F3ExcKg0ggiZbhRo7RTU8DKXzUB9e37shxjiBFPZNt1aFGknj7GEUyVbwb2DMSAUeqOEbZvh6hG76ucsEYxiamMJSMLQVCkmGo03m9GppQYEYrKWKzWI5BXGFl6TJRT8k2aY46j3e44BuuRjpgRpNCz0uZ/IKDU/qFa5JhKCGpt7qSqlTYlsDolevHGe9HHVAyJUy5s15zH4jyzz23Ym+0DYzIn+JxwoWdSFaalH1NoM1BJxdSU671z/deOs1w/JcdUVQQ+gRvc3cJSGAFVSFRKoAVse/hpl5Eyc1SDT5khwmVfgCsj4aCW+Ag+Fj83F8HdSVvHBSPKHED9ho/gql7R+MDUC8zgUGaNtD2nAwxuxi5PaJtLxI6yQq/XZUhJ0A1TlApUdgdrCJOG1YOHvPcCdosNmwcD1YubYniRM/riGtko8qJm6Gu0CFib8LYq90KAjb5lJzJy0Hz/MrBLki+N5n/7P3+H46BQfzLwf9I9N5sW89GWR3rHdgr/7CTxAy3pXQGkHjGQleLcVqiYi0RSCC6MZhoFH95IjtoZ25z4ifU8nAzkJDirLf5JS67HZamXFrGT6HxNFomkAAWpnxJdxfAyk+uABNQZXCfNrIYfHgf6Fw2+13x3GvEpskuRp2nNlYtsLMjpwE1r0Kmmko/Y3V4RcosRmdAXJqk9K9LiKAJrLsoC5k7A8yntoYJTj5i1TF9VTFrD8PQV7bWm21qqLWxdzSppmt0O7dcIPNt9qImAYSZwtYAKhOzQrxLmUpC+OiEbD5VjmFXkTcKcRRwn2P4KdXuB+C2F2HaI0LGpPEPfMuQNiENMHKjcQO+OyNGDaHl5fAUrDTdTmmZNXATCgwR/eFwY2DNFVxsOxI6ntHz0FPJ5ol5n5mZOfzDh5RNF/v0HHLrAd+WO3392ynJyzffsGZ//FHZOsZOW/rhHdQq58Vw8AO8k3BgOH62Jk8huKhlWiRg74nTgfyzeo1eCayR1dV1AM3Lxi3IV1dkRwwdbVIw8/APB4ndnzBeKwydnXC1/m67xmGbFvAmY24T8KvLOOxJSQn1ygfmOwmdD9ZPAx78l2cwaXoQl79WR47bi6Z9OGX48pZ/t6Lnl8HjHwdDw5PIJbn1I9oLavED8liMdRPrJGXl2gtwc8uDFLfJ0Qnqo6Y42TF8tCFc1n78cQB0h5hZ7fEYeIKSKaH5Ipz4jm2veeTZB3Uxhm+l+b4v9ZIk+m5AV7PINQV7z8NnAfAITP4PXFXo3FDnd1YysHLG+QMcd6mJAvRrg/YTqK3InufnKE5Zb0vwce5hYdrfUr24JJrN95bj5U+Bdh95J9EZxXD2G48j2yDH8sQHbkpuW61wKcS0k+eKY9aFjW2+oSCyF40BueFEVvx2EZH7yQybNBN1BP1ugqg4zvSFXN9Rnhsm64uizK1wF/URh3zmBWhNFRjgLTcIfPMelW+wO5q8tdEdwFJBPb2m2x6iQOXId3fMabwf80TW1VUin4LbG9CdoEnphufhuyzAJhOSpPp1SryqWWwhaESeJB2lLYwQyS7yIOKPITcJ8sMP+tDBxXb8jns4w8wp9neieWro2sfvvblj+HYM9sDBRqMOMd5nr36/QTwJmEjCLBK+XiMHwcB7pTtbk3PP9z99hONpyddLRXUSk96ghcTlYchboKnH8/ktuEtx2ipQPWPoVdtixyS84fn1KtZmw6hS6BjmNXH3vArEy5I3l9reOORwk0y7Rfqmpmhuax2uq2yU75Rgqx/KrQGo08XHF350M3FTvcGvm1PG/4fSh5fBkynP3PseTmmMUze2ccCAZjjV5ZdGLhJmfwyaTNoa8bWhuXpIeGNLymKefDaTQEcMGddug6waja+Ypo7qIub3lvXngU+kZZgNiIcBDbjP1qr4z27b+GBU75N28tjyTu2eS2TZx9MJxfimoU+JIKV5ZSxj9mIfhiDL16FnViZRgGAxSZprkORgGXjDFhUwMZ3TaIRDUVUffW6SraLaGm+9eEa0ndxlqjxSSaqPwNESK12BzoVAqQ73lPedZTizTDx7y8euHpCz4rcdnzNKEITk+fqJ4t034TeZzJvibhAyeur5lO0hEVJi+w9c1qZK4I8eLfIB0hvp6R5UEOku+VIYg3sVIy2/lP+TSPmRtF3zpP+d7znLqK/4tD5mvLpivtzAM9NYipWZyINnmG4K74YdfTLidDKxsJP3ba2bHgWktOLUSZVqwLT+p4Q88qBb+iTTscubWZH726pCJUkwmguXfDUx+lkmfCabWI1SDtxV/kiGGBD4jphnCEtzyl86T/sqCUoWuvzdO/uYa4M1kePy7hOeXq5Gh8WbV/z7JSMuyghuTuJMYALj4JiacOxZWYQ84Pxo23+Mu7RkJbyMqv8KsdZTqTWwBI3pfVpxSgpzjyJUogNf+vMVfM0DqPlDwdU+tAmi8eeFbsYQRjBNiD1298YXa//v6dwJv/f0+UHEnsdqv5O+/hBEQFBl1r+qQQtwVykqV1DuldDGDjnuQ59uvSwZ8AKkU9QhMIQqYMXhX5HEpIWPCGF3YA6mAdgUse8PwkkJglUYreednVphEe3+zUlQXT7TS5sboMfEtI8bbvJT3AjIjY0fe+e3UtsJYi9aGMMr+jLEk9f+n7j+bZUnyM0/s5ypUyiOvKtnV1RLADLCYHbOZ4RjX+I5v+B34/WhGs31Hmo1xjeSucXYw0ECr6lJXHX1ShXDJFx6Z51R1VTe6GzMAwurWvXlOZmSEh4eH/x9/RJZvPRgXk2V0Ih0YieXosSSUyD5KCeqyzMCalCTnSCIzYVLKfQCyx1iKCWQGW5IQiBgRamQDCcHl3S2dHXA+jMysf7xtzxZKQiKUQRUFYgQ94si+EVIeEujkyFbjwADLcjo1gtZ5PMiyuESWLr28uCalRIiZEbRnJHncw/5HYDtEf/D/csEfAM+D4bPI8tdcLedify/9DCFmr6/R/4qRNeQDNGVNbQqMVNkMP8HJckmhHTFGGu+J47HFkHAxZKP2/TUi9+Pgc0FYaEl0o4fQb9hijGx3LcUIdpaqAHJfbLRh7xWlhDj035g/SBj7slL5vOIBHlTjGOJJZHllDhMYWYNAipHeuZFBJtj0LVVZ0dQ1jSlwdmCwligPyPcYWvHAhNuPHy7u+4LA9j3rtv8WGPtf1iZEHtuqwmQwiuwhBjmRsanr3O9SIlQVVWFGoFJjncfHiIs5i3n/rPI+92FSJIkR0LIOH/dJm4m2c4DLq6MyG/hLyZiyOT74vj62HvrGCIZzgGtJCYzRzMqCj5+f8/b6jtv1ZlxoAhKs+syY8iknKO4XgGaVyfLVmBAicD/AagD7YFOFlBzkjL/P1hc9Kc5xbkrJ62z0DHyeJkgZUfqOU9vTKcVGaYahJtU9YtrB0hJ2hm5dIOUSJVoq8ZpbUxKHRPG2xHanpLpFzO9wqzkzXTAXBa24ZhsNq2FJUayzibQWyN0pk03P6e4Kl8CKPI79z/93z1JZnokVrQsUomIpl3xpWrqJQ50HPv1JRdPB96LjXgnseN2MtYSyoD09Ynl3zSR6ylLyN/crYlB8YEtet4JOS9x8RvXmKoePiDOcM7gQ6dlgcMjxDnPLFQD1zhBOLaFJUA581MIkJt5MEqZqSQj+86Lk6M6xFIFPPgAfpmBLpp9N6b3ABU+TPmOHwRqJfL/DvVkidgbNZnxGJnrdY1qDigWWSLMuKFpFv7nHuA5pIs4nVMzgZnVkkZuE6/KztqcihIriVcgeG9bS2TM4l1BF0vYWn0BUgoqOEAqGYQLmnlUhGEqN4ZKwGNjNJOZqS3NUMX265Mlkx6ZouVcdVx/umA2RxS5yma6wwhO844PbY7RwML/hZuvohjnBL/m+XLFxkqvVFL1rEGmX8xUnHxJ6TacSH33uMHJLEnd8MjR0y4afv3vO+7Nf0uwS4vI5uw9uaddT/KvnpItrhpi4RvF0IRmU53q5pQ3fpcTzJF7xbD1BnJV0f1Jz5yvWr7aUFznhCvLYO7nM8/KBAn0d8At49T/OeTEpORUl86LiB2ywTtCt3yVR0UrBFz8847vHEybW4vozuJ6jdMXyDyb8u7MTlHTomy3VLFJUmurEYo8K0kTw4Y0i1u+jyoKqfIOfrgkedBLE2BCTYndUclR4SudxfpIL5yjhizlCTlCNQak51bs99TIgv3zG7fyeoex5svgb2t0c1z1HFVds31viipLl7gaftvRlx2S+RQaN4F1crAm2I4YrqnVCzkrS+YLeP0UU1wi1QTcNQxFx0qNfLSkmEXHecz3/kNnFLSdv1+gPYMJTrHvO/7z9L7wOK0qzxdwaUsjP0ldc0TsPraeqNIEJwZ8yqzvqoYZOIN67RghN7ErsE8dqC8N9ycye09ZbNvM7av931MW7FOcfc//le8hgKcIJ7D6nGAxmPsO9F9HOU9w5zOUdbikR5xr3oUFtE8d/HrEnE6wUuJlEPE1o76h+1tNtNvhBYLuIFhFvC3bDOUIo0izRfQzRbZErh3p5x+J2SX/rWd3cUbgWjGf9vkXev0VISHbHqjlFFIpqYZHB4IHVTqPaY0xMLIZr+vk9qSjh9ZSmaagmNZMPaoaipS8kxcdzJqvArB0opwFqCEXFNiyIT89BQjG9pitOiUJRn75mt1mwXU242Nyh1nfQWvp+ijE93iaufv4MbyIaOBOKzji2peeGFfFMMXnSsYgD3jiCURhhMcEhnUNzQl/NuJaGxbAhJk9fC8I7d4julHJzxvAnL7Ep4W2k/rsnTNqAiteczBbIoxJOGpb3Gm8Nl05zcr8DrfG65PO/iEw+Kpl9XHIWa9Jui7/pebU4p2zXlL+85M11QYmjlAPr7obd0ZR2Med8uIV7iX+tuV8NrN7CyVXJ3e0RQlq02h3q3ASsU5ZIa2AiLT5J+qQxbw2DCrw8c8gdyEj2jXzqaBzMb+GLtCZOA+JJx+LKEZ1iXSWkm9NH2OGwKZKEJeoOcXyM9MBNT1k6YpB0riEOt1R94vwa3ixm2FAyDFPSs2tkaSFGvG4ogfdjyzuhRPopl//5nHe9ZVZLPiw/4O57WyoJ//H1C+S7M0RZ873pnNtS4KKlunlLf+VJnWES3+GVGwhm4N0XW97qjnYXMJdPGN6/Zqhajt8O2M0n+Kj4oixIu1vMLvKhkZx875xm0lD910v6Y81QLDBvB5KQxCHx8s8c52nBQlX88vst3VBg+wQtLLsFL6oJf/p/fcpf/8Xn/PKvL9BOIOMSrxv+0/cvaN5G1J3g5gOHvNuy7B3/zpb49xvs8yOqVwN/LgM/jRE+XiOvStJNge7WOEos/8zle49rzK9wjdIDQ4W9ofihABIPbxo3f2AVwGAde1BprN2A0S8iJWLKq64P4NI3sJweH1eCJB5WTr++HTx09tKP37DlQjgzJZQEFy3e571ILREjwvY7KpL+mW5pXMPmALo9lIK/uh2klPnVrwBR35QA+et+942v2ZPPMvNEqQcwTQpBSvEABJRFQWkMTVUwuOzXc1hG//qxP/p3TAmts7lzMbKlhACdMiNAxYRS8ZAuhwKp4sGAV/JgLF7obIy9LyT3hul7OZlU2SB739Z7idahDfdtsAc6hTyAMvl+GwGO9OCxIg4ynv3x5O0x2CgfgWTZJyhm8GAP6u2vnRSI0bRFjAlfIqUD21CNYE+Uckxgy4DZ4Fz2oXrU3r8iif0dbxYhyMDZHhAZV7QFGSwS4/izD7z/1T70wB5h7BMpMarNEikkQvBjm8YDu2x/zAlGECzLi0mj8fsh8e/wZvYDWhpf7/vvXgY8knogcQCLBOBDxMh8PlVRZDbamMS4N97XUpFEBjWjTBBETrtJCWT+bqEUnfeHYILDF/yGbd/H9p5lSmWfsLFpMzj6GJQiPZI37/tlZmwpGUcGU754euynUsjDvSJlZujs2ynHl2X2Xkq5PQY8zntsCKQoDsBYSjEbfh+YlaOXVcw+hEKqzLyNj/zt/mHN8N90+12YgnsvOy0VlTEUKk8F9n1KjuPDOJrmdE2p8t9736YYkUnkPjIeh9d6BFHzWJdIdNZjnTuwZPfs33xPJJTM92GWdn/zeYjxvkxfeTaKwz0rR+8wHyIu5muk5YN82MaYF6LSg7QvJRjC+LyNaQSf8p4fs6L2ffX3le+JJAgYelGTdJYYATiZUMojlEObhCAQkkCWBUkFUhpXjEUcr4+BIJHOU6SalCImpMxeUyAqRb8RoBSFzqlxMRliKoiqIupILBL4QHIBMQh2hcChqULJ3VWP046ybEnOQ9IEJdjWiqgEk11iZyWDEwQ0nUi4MfVP6Eg0gVR6QhWxJrKSoJJHhUQQBjcIfBDZ69CV4Dk8Z4QKiNLnRN0AUiZSkmRedUUazVjLFo6OGqZK41JClIEoEq4SVKpAxUirBhAJlSJSB0SQRBlwus8JSoUCTU6FQ6IBEyMQaEWkcCm3q7SIAlCBSRfQKoKJOWlQRUIB3gRilcdo2SViLAkoTPKQFD4KkB7ZS9Q2YQVEnQglTLQ7SEjTkJAuM/+SSMRoiEFTtpKyhKaJnM0iWiVcKbgKmdUfE9lLMHlwjjBohEokoQipBFGiNUwbR7INO19g3A4lHa0pSJuK6ASpstipo/KJpivRKFyC5CwLa9AIXKVRVYPppog0Y15tiQkGV6LZQeWYH0fUekbtHUu35fnxBHle0R5PKDqPrIcsAY052EXJgHYGGQ1eiiwPMopYl+iiwpQlHElKb/N9WiroS1KSTJRCKEkoFfGkIshjoiyop466KiiQNKqDoBDRoKYGVxVILZmHgj6MbLbZOJ55CZXBV+AUIBJJQQoS6SpSqUhSoHuH1LkfQEQJiyaQuglSG5RxpHmPsKeo1CCrN0iZkFGiu4qYArF0uBkIl2Vm0glCVGA0UnRQFKRGIToygzyQE/HGVTApErGQpImkqhOVrCmDRJIIlcBFycUXHd2uxcSe1OnM9leCoRZ4DYSUmdgBVAQRJUE6+iqRosihNT6QJlmaMwhBHV1eQIyChQ80AQQa5bssL5IRpwuCEoRJgOkc1QWkaQl+DZ1EbwRS5+eKtBptPcEkovLEiUe0CQaFLywhaGIwxCNPkgLpJEk5YpWIE0jrnMA2LCxqK9FeU7WJOCuItcBPBqQbkF5itpp+UZFKCcZiJh5iQHhB9IbogJUCSnCGFPPiFqVAPdFIbQg2YXc9RawQSlMU9yRKBJrClLgSkkroqKh8RVASNYvIVUC0gdAGks/zq1j5PB+OgtKKbKYnIgaPTwGTBMYWKJOQ2lGIiGwEXivSrqAgIHUi6oC3AnpFQTjUu91MUXiJHiR+oWGT/eUCCqU6StNTqgU+CHwnaZxipxKdcYc6Og0J05RInZPd7qhRMiGVIKrs5ZRsJPSCjgIrDHFknAdhiW7IIGIBqS+JwZAMICU6CWqfGf1RGqIuScohtaUoI8lxSAkVxmc1EwqtBT4KnMv3xT7kREqbq3EfSeMcQcmEjgKfFFZodFohcRgS+5yU2ARkL5FEQrTIIbPpZIwoL1BRgBgl8iMLnJiJLnMjaXQDzDC2Yba4p5lGtoWBSZ5b+KqhqTSmEshFyDVOlBRqRh8CsSvQpibtCgQ171YFjVnTqoh7f8nmNNGagpgEemphEPT2FPw9SgwcTUq6UrCTDikdrtTEUpCSRpLtCrpYs3N5jF3hiUqRjAQCwghSLbipBLdWsV4bqhCpJTRlZNMlup1BbjWLpSOpyFoLtjeSYZYYykBZRzYp0CfPxHkMGqUifV1R+kTj2984T/pvCkp9k4xj/M3htRC5issrsuLwaznS9KXIdcU3IxjZDHxw+ebZs2v2sdZ5//mde7NekQSMk884/nzPytqX9HvZRgKiECiV/23jg64o14z5xb4Y/LY56+MiOqU88VZlRVloPD1D2yOA6bTGDR7vAm50qf+nLnh+n+1QEoiUJ4wIJiJP+CXioKP++jn+KgiVQYr9776JAfV1MOpxm3+brG//eh8Tv9+flhJns1xMKcViNqcqCpqi4Ga9orfuEePnW7axsK6rkqauss+Nz75JWsmD2TJIgvdjipt6YM2EzJrbe62Y0Rg7xYjWJvsRyX0xPibaqZEdEwMuuAcgZ2Q5aamI2Y08y7FGo/+QAoEspYluz2pIBxbW/iz3V0opzeMb8uF6QUQ8xMmTC9ckRmBHPriHZdBL4EOWqxWmyPDgCM75GLDWsev6zJLi90kY++ZNCMG0rnL62zBkAIkRDNwDE2I0Xx+/OuToOQRZbpc9wnKb7IHXGMID8D1+Tkp1eC0fVbwpRkLwh/6yZ8od+jXk7z+84gD0AYSYn6hCZrg3psxWkY8YQ8TMpNPKUBaB3lpeXVyynM8px2RFOXqQMc7PZcycFD2CnkprttsNbd/TOz/iZA/32r49H297donRBU1dU40mh0ZqJIJw6KP7cXoE2CK4sAdnBVorpJI5lthnho4i3y9FzGyrA5BHHrMPjMHRoLwsyiyLTJFNt8v3vdaHdo4xErwfwVWFGp9RMaXRuy2DMW2ICCkPnnj/XEbo3waY2mOoSiqM0tQ6X5ckEkYVB5Cusxbig9zX+iHz1PQetMvfqUZ2nlJyTMsUFFpSjtJIn6DtB6z12LGNE9lrKno3MoQTq3agc56vi6L3wJIUWVoREiidjfJJOSFQKokPkZ9++RrrQ16oEjoD6SmRsad0APFDysypNysLPCyCZPWwoBCZISXIc4VSC8rfU79X2RIXNL0QdNNsp2EclGV7OFH/AoY20G88x8ua2IHbDA+ryJWn7xMpSLAVT+0Rqd7ST7b4eEOqNLqasGJgrTSi0bTyaWa2Aq48IZURUTpi8xK3TWz6gp2EJjU8cUtCcYWMPcPKolLCKsVlFbGnFZPe8OxvC96W93RG8ks7B2vzidQdw1QgCos0V2zOYI3gbUr8H0MeD/5/pocNFARgzWCOwEAVbwFQRaQ+Grh7M8NZTVVZWM1IscKJKdH2lM5y/gbO/89nLJYzmj8LXE0C/cTytFqxLOeEAdLdW5A9Ube499eoC4MYBPfH4zFKQeo1yY9VDTD3Hp08dyXMg2fqE7ZcYc89vgp85+eQTIXVCoYNvvT4GroIovII7ajuEyoVRK2plwObuzmtrWF2QbFNlPfgP5Z4kUgGTucCIS0pCtxPa2ywWCxbcUS6qpBXhpIdzdsN0+t7npXvI5Vhe1SRPoed8tgiL8Ymn+eXn0cQoQRbI+UZRbWmXlyhnw8sd5J6N0Hd/wX3teTiaEZ4FUnljnh0y2d/POPpuuaDz89IbyfUqzUn969ZPP0x/WnL7Xdesbg+ZuKmOFHw/Q+h9w1vbp7R7aaUi56PftBhrmqKK0Xz+ZQP/uOE5rTETCq2wx09awCsLREiosoexRxDiSGyOnEwFSy2DapaEE8qhlPP8NmGIBw8j0xfzVlsNE9vO14ayXqSUO+V9C/OMRbO73/OThicjEyKHn9bkIImLI/YVAGpPXM5QbZrUhFwLyp0nIA3pI8kXbrB0mP6lv5+SVg3LC8c/Q8b0izSXP2cuJW43hHSNfI+oa1kqBOLa02QMy4/VIg4w8QGkRLTNx7uE1qfIfQlctqxOn/CZHdHvVtTXFpYHuMnJzD9BMoAylLoG+KNJa0lQndUyaFFoFis2M1PGSZTPux+ghfP8NU7lN0nXJ/c8+bMsf6/3cC6pXKey1SSSoOoNNPnE4TriV3HYMBgKdwOt4PuKOCWgfSzF2h6TLlhON4/XxJdek0YFPWm4r3uCSe7JXGlmfZ/T5gG/FSyOZ8RlCXJO07ajyhkQtQrWrdBbRP1ncC8EARR0S/nTPpXRD/QTxy9LhClItYz4tEasZbU6yn++9co4ZldCeQ0IkpFKUrstcRqS/djz+R/k5g+cbyE2w+eEgtL1XbYecSsNbOXM4blgqFIrNOOZrGhCIFFD7iE3SjcpobiBVJDVJ8RgyIYSfeRprnUpFvH7d9+Dt//IaYuqIpbkpuCKKnnLWF6TwwB86nm1BsoCuIHhvrqhsmXdxS319gjS1gEBD3cG8zO8D53XCTHDo+lp/Fw1E95dv+MJniKMqB0iZksSWZC2Gq06qEO9NOB5Wce8zYiCwgyYaVgtTxiGSKVXOFlTXVdIl9r7t7ZIjcdZuOouneJ1/fE2y1Ja7rnA92Tjmoo8TtB3Eq+++/OEWmLtxv+qzjjaFpwrhRn5WfZJzRWFLuau2HOTZjxkbmk0T2NsEytQU8UcqqZbM74gjV3xkLVUd1blpc9mwG6usZWJ5TxLZN6YLZwXF+WDF4zDAr5tEc7Qbkq6WeSHRHVRvxViZWSVoAuPGlQDJ82rBs/YglQk1NgO6ZMxAWTNLB0itfXLf0k4Z45ipcFMg4UhYWdREjN/XRADgNldFDs4C4BZoQrPGUpqE8rSp6gzIKn5zPKf72mnQf+quv5AwYUjr/8oOSP37RMtxsuFjecvhTUqUB8dEwzVHif2Bxd8v7tgmlfomTFszQhzg0v/y/fpX8zY9et+OV7cz4Q1yy6CH/9HTblJ7j6juKs4L+8fsuXF1sSJQhLEoK+KyjLgCwE4cU5n77a4tY7eN0yPZpQlAWWQHfa8ebc8r/+eY97lUjDgrre8aNJy3v1ltVOcO0W7MKEP3n1ip/MKn42rbn+m4r2+I7u6IKyglAIFPDsrxLnaWBWRv7TB894cb/mvdub3zhP+q1AqceyqH+cAnG/nzxL3v9TyDwx3K9m/rqvSgnKQ6S9oBulRoWShBiQUqELjdE6F4DW4eKY4sVepjGC0w81357uQEIQ4uOkoz3KlcEsKXIh+pta4ysgCdD1Nicu2IAPIzCGoJqUxBi5X7c4n36l4PvHLsz/W24Pnkv5j0DQVCUoiReCwUX2ZtffJs3LxuIP/e7r7/s2kAq+Wiw/fs9jsEophVYKbTLQE0LAWYsuKipTMJ1MKLXOhZeS9IMb2Xi/4dxTIvhAYTSFUfSDy4bOMeZiR4jc0TOMnz8zFkywZ39kGaHW+pBmJ5VG6ZFVtGfMIEAo4sg8cSnmleZxP5ALAhtCThUDNDqDDTLrWQtTUpcViYQeC/wM4ubvCCEcvHqkUlhr8SEcfrcHUqRSaCXxPmBDODBh9iBaiBE1Mi6qssL5zFrpBpsTGVPClJr1dsv9esuw942Rvx4A+QdvKcvDlFSUxvD09Iy6KFFCUZZj33l8i6W91PFBQifI0knIoE+WuGU2kFajxG7ftnvqhRDZn4v0lbEARrBPZABUG/NwPzxiYe5ldI/bYM+OEyMzbS87U6QczjCe7/5bMuuvzKBiSvR2wHnPcr44MEZjzKDL/vz2+qWcZLc32g/ZXPFXmvZrY9M4niutESLLIK33OJmlmCmGw+JBGj+/l2Srsb/EMW1PhIiPIbfrmGapRsMv611m2iFG6WUcE91G+TeByhQYnRG32his81jv6J2jMIayKDB1fZDn7hmTQopDm0gpSaXB6L0c9p8HIAW/w3PhEahogztIgEtTEOLITEwJMbLp9tc+99X0ILWMkegZr2PejxSCfpSP7o8r7MeUlEMTDi2nNArN1CisS/iQGPweKMrLtJklJ0Eokggwymsf2IYiSwmBFANaK0pp8iM85qRcpDyMrTubvnJbPDTJA8xYqIffD35ssN/4lP/12/EwsE6eSOKDnWSbpqxYMHkn0m887X3gzTBH2J7a92zdFUk50sSxvDtj0B1dtYHze5qdYnE757M44L0lDYEng8WGyGZI4EG3PeVwTVQRWwZ85ThbP8duNStRQJqRgkPgmX8/wnbD7S+2BCSlEBRC4IsCfTLj+DtPCKuG3q35bPJLZDRgHGLeUrSG0kfmG8vVPOHqEuQM5Ap8Im4LrqQnKod9MbKBBonZFBRpjYqRiR3oigJnDd2bGcWwQSfBMJwQgkUwoAGxlkhVclvCL6+uMKsb3l5o2pRYmMgfHTv8H824F5L0FwNiqhHSkF4Jhp0mBkFJYoajSIJkZ+zqFltFhvtTQrqjxHOyge0Z3E8TFku8n8Btwefvwcl9R7m2wBN00SGlYxgqtLFZMpd6pqKFaLl9c4QUkbrYYtaJOkIpYLqB+92Mrq3h9pqOSJcS1kSiUSSpmb2o8euetLpDDx0+CTpKjAAzt5T1jo+vIjcycq0T2n8XUd1TN5e8u7tHPVmS3jlm93bKZGmZK83PXOQ4dryr10z/zTtoEWhD5OlHMO1L5tsjxF9/QB16pumO7z9J7OYzdmcvSPEnVEPg9HXJqw8aZs8lTz/e8LZYchRK/qdzQUwFV77gZ391xPfiPfNiyvTH/4Ynm54ySVAlf3Z7yxcbjyDx3KwJQrASktXZKjPn7gQnr2qkiXxefs6/GU6ZhUi9Djj1nOQD+ou3sLjELQVtlJRmlhls6orJdiCKhpuz9zj7ckuBY/vditkXLXprcd0N843DzQRfvhM5vyypO4H4TMPUAz38VGHOTqBW2d/QvkanS9J5Qrw9Rn6pEG0iPhGkZ5rF0wp3tGRbVszXFvp7gnUcf3KKPrlDVdeo61PS8ZT4bsWt1sSgSFFT2acoLfALw2dHJ0yKJVUs2WwDfiJIBRTXG9qzhH1P8PT1DqkDRguqdAqFR6sLhl9EbOvpk+PvPz5iPWy4e9PRthPibIqcKfhiwCSHth39J3Ni4xDTDdMTweQuUe8SV0VBvDPE25JK3RNCLmyLN5CawPDcMXw6RQGVhO/94Xc4SSeINwsuf1hRix3Hwwr9pURUCrUwxIs3KK0x88zClbuAucnspSACg9TI956gu0D9pkMsHdIk4mkFsSfMpvQ/fk7TDojewlYhthsEiZQ8qWsRlUHcniOna2gcTAJ1b1GbxOxihneSEEvaakHd31A7QehOUO8ZlI6YoaD7AJKwTEUE/RZsQl54VDtDeoPdBjhe4pee3fE9969/TjkYPpo8xT1dECeSqDuKC0HaiMyoCT2yB/PFOfHoEs+W5icJeadJWnJkHXeNo5163l519NoQpWRbltwpx9BIjD/HnwrsaWC7u+NIbKltTz97l8J9gQgr7OdHuE2H1B2TdzpsW+KGhtmnZ+jiBl+tqFcSX1SE05rTtwovzvCmoC8r/PKUOHMc9Z/yLHkWF4K3t99lPtyxcDco+xbpDbgJfzTZorYStRPcvehxJyXhpOZdKTld71hst7z8UDEdCo52is2ziHRzTLtEn3zKabfl4x2kdkscIkELnCgIzQCTL7HSUqMotzVl1xN8YkAxfTNBJQexwz6T2GnirgG9gagqfDOnvnqFdgHLhBM7JSrPSrdo1si0ZpKuOXvXU/oKcz3HJU2IjiJsqbeWEAwbZojjAaJCrCecpC0KgeOIQt9gteWmADX9CF8aYnlPut1iZ5K3//6cD+/OOf6y5Uc315y9W1KUU067Jaq7QojE8/VTVk8vuRta3P/ngoZ3MKFC70ouf9Ryc7phqgcuXY8FprfXiM8m0Dcs/+gt62AZkLzQV2zfqeinp3z3y4HZG0l1H7kte+ZJUEeBOnG4NqJ2ive/7PnlvOXqqKe4qfDJ46oAP5ixSoHdTSBU9xydJeq5pDUz4nVHu+rpnifENqGI/K1ztCvHRLb0RQ1DoLoqaOxAu0i4CZRTwco33MaG55+9pZ1G/uL5r0msH7ffiSn1uF75zds3vSl9w+8eS7rS+J9gr9z79un/Q2mwB7D2YJFUWQoklaKuJ5AiVnT4oRuz2x94G2ks+h/YCPuD2U/AHwFSBwnJP7QNfvWIncseMz7sgSeB9zlJ6yGB7OF8/jHkSv902wPap7WiAKokCMlnVsbI5vkmUOrBYHu/i19937eBUt+27d8jR4bUninlRyZciomyKimKkrKoUCO7S4hs2Jw9pX5NjzywWCIuZOPVQ7rZyMLb0/oSkr19dEpplDdyuPaRzM6JKSFSZu35kToaYiRJhRIip/cJDsbE+5S3TB18OLYMNHEoKh8S50bYcGQMZslsBlceG/knxs8+ep0e7WsvLROPfi4e9s5eJqiUzNHyZNzGj9Kdg7HyYNnu2oOf09fb9nfeRJ4oiHF8yB45cryPxeEt++vx8J3iAGQ//v2+VI0pHdidj0eWx2PTN7H4vn5OamTEAXlC8wioPBT5I5C795M69JfxY4pHkkP2BtCHb0NJSVNXuG17SDfMwNHX2mn/nWIfNLAHgRnTIvfv+PZNkuWnjPtIMSeXJiFGw/tHMQPpASzI6VV7T6uH+0mMCxC5vSV7r7mHHizZB/ZlkG5/DR/GUa3MCK4IYhogZWC1MubgS5V4eP/+TwZuxvQ48bBo8i95iyM7r1TZM6/QBh/FAUzODGBxSIrMfT0DsftxYA9WxbS3GieDv/vrmfZj3TguxEgcQfW9ZNN6HmSh8CvD6/4e2y8kZGZzfr8SewP8ERgerxMjkBsfPUdBPEgEvzKvyGD1/rVPo1w5Zf+VkLI/2++1hYCUFil7lAI8hADCuZw8R2LYKQprKF1C9z1WBpwISBwiJmKQ6GQRUpMKxWCzzMtQUSeJcNAmjy3AR1CdJFYSUUpkpUh2QA2e6QC7WJCfGJYgAgiJGOXseepZUxNJRhKWmkV9RN0oop/Rx4EofGZISYVyUPUCHRSxF0giUUvS6CN2ZwuSjIjGPqziJbJ8FoU3FanI6XVxJ0i1hqSIfUld9Ejhs1wugkqSgoi7cTiZ2LSCJCUJwVZ4utCxRqL8Pk0T0pDl4zIldJ9QKatOY4SqjGgRUHi8UXSiQDqPjDLLucqAjMAgsEAIArwiRYOMPUYl8BKRShA6y4qSgqRxg6EoBqSOJC3xJITK61AyJPSQ/Rn3fX5YRpIzEAuKSiL6CNISVGAoK8SkQSxrKjyLwSGPLb0X7JLGz6CYQN1IRBcpZwV1vWC6FKimRMolU1NRhSmSmvJ4wSTumO/uORaaQpRopsyjIejAtqw4FgEzT7hTDeuCiCTGOUepoaoTeukpxIRJLznDs95B1SeaTWAxmTIplxRHJ8jtFSSBKGpWO82mHedpMrNe6wSrmFMbQZCsIPjEdhiIziN8QngD3hAHQ9ctCWVHqiO2UKSQUzgH1VCKHUIEdFAEERlEwCqYNApCRG5bfIJeCFblwFIsqbxBbgPolqQdyVV57IoKtSnQrUcmhztO8LpDbPKCUEg6/wk9JkSEVwjXEOKWFBxlCzRZQu61QhUSUUYwHXiN8A1yF0ZpsAQnx7QxCFW+H9KQsrxMJWQhiCagTEIYSbB5QT0ECbsGL3LyXLSR9nbL/etrhHfIoBABjHAoPCpFdNfiCovDI4NCBYGJgmQq5BApO09deVySDEHRxMgQFM4XCJXTKxEgJktgSnIakTQyRWTsKPwoM04Rr/Lp+SSQQiO1IE5VHteCR9mWJBtSktA7lHegstx50AXJqTwAp+z7iXYQ92FDCZoEZQSRkJo8VhrQvkdbjXRTJJGkFLKSKBWQSaD7iNwIKAWxzJ8TSaCiJuksFfTTOYp8L+oVDMcJb2CiDPeix6eAGzzJS4TTMFSw06Q+4UxClgmZNDIkukrTNgUqBCorkAFqDytZELTAphYZa4wocHIg4DJ7VxooAqGMyK2CUYkghp7gBIQCLR2RzFp1uGyFIaDcSKgUvtKYSUkqBTFZvPWkoBAkdkuJLANKRjazkuQjegiIYUZSO0IBRdchXUIEwVHpCUkRhUIPmt5BN9ZzRgl0KVBNgXaSYpAoM0FiUCqRdIGipvYNbbDZnzSAS9mzV/qsRPFe0nqFDwVIgylL6qEnqcRQRqSXRARBKMoQQYRcf1Qyx9xGj7c1MkaqGHOSK5EmBhIGJxROCIIKRBGJVlGERCAgCk+MBSokSh/RY5JsknmekAREHTExIJykE5FgArqJHE0SXE2g05zaXW4PI5htNLumYpDQi4pt8thgkYNBNQktEsEWRN0Tq8guOQbpsR7kbURFnxnPNx0OQRjgzu7YqMQgA5ubHXariEODKHqSG5n+QiJLlYOsXGJZaeSiJKiGsByIjUe5SDFolDeI5JkERSUk2mXFRK8Vt0PEFQ636Fm7iB4ElYvsakcMGnxF6BVojxCeXuTaNgZPYwdco4jmUVDTt2y/FSiV2QD5X0KQNc7pMSPma+//lhn7nol0KNwOJtT7/3FYjd0HPn1TMbr/URjrZx8fVjpB0JSSJBVWKiaLY5RI2GKDu/HY6Ma474fiKqX9uT0UnkLkKMiUxCNQKu8/1/1fyb36jdu+wLFuZAmMk36RBJtt/3BSY0G0x1gey0x+H1Dqd/Ef+X2+69ErAIxRKKPRRUkgpyypR1Kpx599LM37Oli1P489aPFtgBY8gACPi8v9Hz0mfAkh2N3fE1xmCTSTCWVRjEyj3F6SlOVDIZB/nL5yzI+3lLJc726zIyRBaczB7FcJmWPSgcRjcOYBlFKSPPIlstH+2CdNyAl+exC11AYlJAOwZ/dBBs/SnkEzFu77eHf24FrKMtHgw3heHiU1ew8k9kyIEWyyo6Q0jQV/9umJBwB1f94h5EmWFiKnC2o1JqxJVEqZlaYVXT/QW4u1lpj20sl8X9nBst3tvhWEemAu/vZ9Obd7ji5orSUJiZY6G3nvWRmPgDal1Ff6Whz3ksbxRgoxSsMSYpQrEhMyxAwNiTzKSCUO9/rXwdN46BtZ1hlCOJit7++PA3jzgLBkYHz8mRuZR0oI4p7pOfZVMY5Te2nfYrZgcIFd13Ozume5XFIacziWvEtxAJOs84BEiv1D5avt/hhw218TNfa5g2faeC4H0DYP+F8B7sa9ZWlWzGEAe9AjhGyMn0jEEFAjuwchR4BjPG4lUUKNfemBobN/ThW6xJiCRgi2ux1t37Hb7jBKU1UVZVHgnM2SvhC/Ml5IKb7tlv/vun1dEv7bbA+YZ8QLsB6mk4K6zOe+9x2LKY7tR74f2DMuHySnWmu01nmcTAckB8gJeIwvow+HfmWjP6Rxeu8JIXA/2NGrKyGl2p/kCIrnRNw+BOoiJyhqo7PHHrmP21F2DPmJLGJEMCa4JegdY9/JSXrxgJA9HO/4VhKJPhxg9BFwAxt/vwu/A4JqMaXjZhFoNx12FRm+XIHRlEVJe1mi0dSi4WjYcVt6rqoE+gp8DesZxg24uufuxGHuKxpds9RzGikQfocd7tgtoBtqttsKcTpDF5JCCm7fecNi5Xj3VeITcYJIGhi4eQUTP+eZfELHJTFpBuY882/ZpJ7Pyg0f/esfMV2dkv7LhP9i/ox7NyC2Endk8E7C1mDuArJ3mOEGW1X4WhKWHS9v3kU5QVFejdc2t6VzEwZd0h0bisIiw0Dl19jnx4RUIT5VPFkOKNXxdl2QgCIm3nEOPtMMSWBCj6sqNlLyv5hA+NkFspVUtsIOlqg8UFEUERECusurz4OU2LrltA1MYiCaS97M5lyZBdVqx8mdoVzBq482CNOD8ohLkDZ7dIFFuYHCd8wnkrVb0vkKUTmcm+FcBeMcJ0poj0vAgQyIBVTthiatiUJihEApuD23hOsJ3C+wo6eVRrArS8KzOeadI9IPn3Byv2R63fLJj+/xVxPMdcPFj3/KYmI5MYZfzg1P+yOerV5wcvo5F0XDS33Gvz8+ot0JbtqEaAqm9nOet6958pNnXKcjviiW/I/PP+Gq0fy0fs7/6c0rpsUWSofof8Cubrh5r+bff+Jojyy/fKfjvcmEk6sOc3HNy8/Ax47vVBueLv8n0nzOuhFsXE8xUxRPF+z+twn9/RaAO2GoiZxFy+7mab7mQrMu1sTo6XtD1yV6p6nEEWnt6NuSN/a7LPuOovZw4gndSzoNF2cfcFR8xnywPLtY8MV5jy08812gO52TZpriF2uuC8nKCLrQcZTeQbkJk9tLol2RmgGOjrDNHT5Ymp81pELjZw3dk0Bx1aFDxOmEW9X064Lby7e8OxNMqoTnA3rZE0lM4j273ftY5vDsSybeYjYd02JFimfgJ7jhFSIOaBt4/vkOeXSLWHqqd0rcfUO8VChtKXtJCnJMxs3A+126o3VHDOmIJgzE8xp9Yvjg8xvWX/yC9Zef0PiIvAe1EnjAK0PA8JzX3Am4EQJ3UeCHXOAPs1Nqec98WFHb3IM7kTiZCVbtMd3lKWX1BiECCcWFWyKf1By9Fzj7szEUZVESpnNCORC0onhygm8Tdj0wTTVuCv47BfXdDrW2zO+ucPMpdALXW4SXpKRxXcHlkwlmlzj/yRv4oCA1FqZ3JCqiloQ64aixwjOIa+qLJ0gMg+4o/BoRJ3TVC9L0HqU9DS1xViFcQK6vEZ9F/Dyy/Vee6hdH6PuCtNHEJxY/LemevaAePkVvWiY3JV88uyOR+PhNxafH0DrH3d+/YR4mmGJB6o5xcoY1hrj0pCOLkj3zyysu5YK3uwj8NQsvKZKAQiCLY4QqEOIzGj9Hxoab8g1VD42AYZIQ4gZldzxbzwnTKVEKyld/TxdP8OqExdPXBNXjo6O9VlRaUKFhs2O7MQzFMeKPFqBvCOaSy+eB6Rso7jUX332fs1eXTN7c8zc/+mNqc8E0XnN+UWCfGu6fSKq/d5mpLDqaicI1DS5UnG3mhM2Wtb6F1xHUAlme8KKV6B2YVnCUZii1RRVveOtfYH0ihi1v+7dIN1AOgQ6N9InS5WdD7xSfDwohlpRzw+zUcPTqM7a15eZUUl4aTMgT4LrrCCoggiO9qEk4RLvh4mLOzMPzaHlbluiUOLWWtzcGJyEVG+y0J6LxQ0MlJRSe7vie/up9ahd4IV/RpkQvE211j0iSoApEOTC5fIUOiqsGzr//hONTzR+uB/6mf0KbjvhoNmV18il91VFuW9yLhpWR/HS1w1xdUfeOp0//kPOzgBSW182EySIhCsH9VnAyVaTB8OVnH6Kefwbijv6/WERTE6Tkr2/X2LUl+Z7ul1e8ic9oxRGVfc12M7AWgdoWFGcNRV1w80rz7mzB5Inh5b86QaQVsltT/OUF2jxBygVpXdJ1Da5XPN38HHdasj5u+NkXA5zukB+v0DvJ/K2hvtW0JHyq8KmhFwWmX6P9htdA4Toqt2YpJcdBMre/GXL67ZhSKU/s1H72JsD9PgDHN8zxHgChXHBpsU+m+/bdhMSBJQV54jz40RQXT0gDr4bPM3CWsvnwngjycBzygZH1qLjPoNvXAanxe34NW+ZbT3kPtjyasO//fgD9Msfhn0Px8/tsB2aJykwjIwT94BFSg5BoPfrZyK8m9T0u2L+JJfX4PSnt2VTy4Gvy+P0HNtCjQnsvB9yzdrx3DG2HiIGqKqnqBrFPs1OgxN5hJo3Ss5FZ82udb/P3brYtUijKhckYQsqyPrmXV5ENsIWQCKUOnT2mRx00ZYBHQF4hibnnGam/Agbv7wEJ6NGzKgkeGAvIh9UtrRi6nm7oR68rAVJmgCr4MRkvHlgPQmST6L3XVCQXt4fzEI8kPuMfNQJ+SilCivgUafuB1e0Nbd9TjUVwoTXFI/Di8vaGtuvwzn0r8+13NXeGPKGb1hXHsxkpBkIM2TMnelQSiJFrdPAoCrnNlFIZLIpZ4qWkxIzJg+ERgLc/D8FX2VRhlPwKRkmgGLlMQowsBUHY0zH29CchMpNuv5/xIicSwacxdS7vZw9Yh0SOqQWCswdgqyqr7E8lBIMLNJMJUmsur69p25ZQlEzqJoMAIRBHuZwHujQQ0sM5x1/T9nuJX9M0TKcTJk0zgnwxpxeOx18odWDLSJlBp3wO8TCWF0YfpF9SZNYWCKQa5XVCoJUiqr1H4ANIfWjDGPGHeyDi++4AdGmtaeoGYwy3d3copSiKgtlkehhr4iNg7AEF3KMa/zTb780YJI9nWkrmkwY9SiWttV+FG0dQPqSIc44YM/NOK4NWirIsD/OCGMPIN8p7z0S4caFIjuNDEpmZOI6PQevst6d0ZpLG7Ee3Zz75R6AiQAgJRxh9znK/Nqag1DlFz/mOFBIQ0brIDKcI4EemambuADn0JB/d4VKOa25fS/qUmW31e7a5rapxAUKwYkEYFwuOjiZQelw5MARL6DTdzuAw9JVAVI7OlSQtqZRFCAjdHN9OiNVrQtrhOs+tEkQVCKJEPPOY+wq9nnN6bbF6YGN6OOnyGA+8ENfsRM0d75OObhiGyEV7TesaTCxQaMr3gLJl9nev+Ytf/j+hnSLeHjMUghRq0lCREPQicK0cskgIrbCiYphmRsbpG2i5w8/APrWYt4bUGZyboXVLKToWtyU3ooE04cgrru46gtxSlHDXRXRSTPuB9RPBpjb8Ip2S/Jo4BIa3C5bvgllIujRn0gt0K/HFlNXymsFE/MUHvDjaYNTAL197OLLIwqO3gXutWSmFPbZM1zuatuXqJHJ5I5G9Rrwp8P0CEUrOZreYeUc0O6QR2BTwzrB7e4b3AVLP0bBgfdIS6jXh84rKTajjUfboEjuU6rGlZagE7lQQ25J5CtQC5l8+w8YBX9xht6dUbcHUT7j+0ZRnRcs7wyvSf4oorZkqjbn7iEm1wrxzy7v9OZP7GZN2yfu6pGSgFq94I57QrCR/sk4M0y/YnCW2x4L6qCK4iqH5t7x5TyAkvMOWJ19MmEhFoRX9H9e0VWAoBS7VNLXk6XHHbFdTNp4PzMBpF0m7gdet5f6DHfFkhv3gj/iZfs2pu+U7myWFqokW2ost1fmGeddRfJlTaIMUXJgSf7zB+DWze8/WnmG05+nRNT//qym7VcH/8CdXxFc9mAr5HEp3Rd0lip8dEd+pmeNZfHFBs3AoGbDmjnPlSb1C/XxGXQOlZPPknBTWlLvAZNIwq64xy1vWRUdVzVEKBmcJX36fmDTb77wlTAtkIVmsB2ydsE8l6VkFV/fEtoXvzBhOFrT1DG8j5dsdRb/D/fAd4sYj7B3Ntmel5gyyYuaXlG8u0PevUWKGj0sGCupnb4lDAVcN+rZBzUBMI7gSP0nYKVxPFnx+veLmZsV3J57Ty8ixdZh3Lf3Jht1U8os3ls87yc19iUw93mgGnX0vixCoB4vgBNYGWgXijlYnBhUw6yuwPX2MtHUNXiGC4qoS+Bioykuelz1nH8x5+qNzzl+/pdkK1Jnl1kAxnzJ7eoyId5hbT/nzPAjrwlE2a2Qfka1DXq4YZhVqNqV49wnFTcwpYc8nyBsByaHTJcvmNKsV3rF01R34gN4sSC8E0kfM5w6pNpRoyrTEyQUiKcz9FBO+RARLsi329ARbK3qZKHmLtBZ/Jwj1aWbRtJe8PK+JJwUzF6jrvPAybAv0qxo5JMyp4vmbPJ5HMeekETSDYr3zhMrCcYf/1xNmn33GZNOS1pFd/QFDWfFGJJRc0ZR33L4Q3N9OKaLm5NkKsV1jtioD+WxJqaPrC5bnH9KcP6dR56hLgbxbIactw32JszXygw/A5TnJ6ydPadaXFN09/fsOj0C7wGy1Q05PkbMJyX/KzjT08j1OvxwQEVIFP/jrFTpMEGnG924/QXuBtnPcpKNSkukw53qyo+w1pTXc3EnM1FJOdmj/gqWdoS88V19copYt5smK2e4I6SOYxJ39DrXomIoBffIGLl7ihlfYpwm9TlRX8O4p7EzgXg+ISpCCQA6weLsj+Dnb9pSks1T8vWvHWvQ4qQmx4P74CZUUHJHYuA7poNyUDPXVKKEE91QzqJIUavztCnxAJHhvlf39rpVHHpeEWBCuZ3BWYOPAxW1Jb6dEHZCzFcf3EHYlb/tnzJ/dMT/SzN55QTx/lxtl2Ox2TI88nCReTjZMLg1iF3i7ueDTeMqqga56zfzpc0rX8O5lhUslvgg8/+EF96Vk5wP95oYVJUZrvvcHazYvPUNfUf7pd1lPbhG+5Qd/L6jlEj0YQvMuH39whZ3eMnwZ+dvyXd7qCdhb2qDZtZHt0SXV2wn6umRS3NPcGEyn2H78FKOPEZRc3b9m+XrNJEniHz2jLaZYodDnPyPsauJ9iX0V2Sw67Hc8sy+fw3RDmlzw/LZk4xu29glNuGWYQLuUDDtJKCO+6H/jPOm3l++JcQXxMD/7HUGpR6bmv1pcisP/xxokq+2+vosRyDgwCHgoExLgwrjumRJD6PJxy5H58nh/47E8nnMeZEfpm87wQKPav/k3nu6v7mFc5d7vXTz87AGY+tVj+peyPVybRGZYZDPlEHPakhLiK7K9/faYIbV//fjfj9lO+01KfWAxfJv5+NdBKcaCIIQHlpApCkxRUJYle1Pcg3RrLEqM0aOXzbexAL/+/eMxj5IS8Ujysl+q33vXKKVy0bKXOO2Zeymh1Ag+7Pvqnq30GMBM4gCoir1xdUayGPc0fjz/vZciaqVHYBBCyMyFA8Mk74wHnHgv5XkApcZf5Z8frmn2bdonAw7W09uBbdvS9T2DHaiqagQSsxxnXwh2fY9z7tcwLX/34jClRF1WTJsJi+nsAORopdCPTN3337Nn5ux9n8YrevDPyv1OZcYYQIyP2EBj2ucj9ud+v+IR6BSjGGv/h/fuh8fcBR5YWynl/aQ0ppeNKYUZrBqv8X5USTGbgsvRn0yOHmakg7eXMQZjTGb/OUtT1Q/nnnJ7RXJf2ScUHgC3fTt9vc0O4J/KxtejV1tMWWqV9hTbsU0f7uv08Pl9Xxu1eGE/nhweCvvnw6Mx4Wuv0yhd3TMR90BSGEFdMd53UkmMKA6eZ/0wYHQGXZSSYzuIh2vBnmn3L3PV4OG6ZVCnLIrDeOrjPjWPr/S5g8RXZGarHpMU1Qhkc1hQ2e9/L/Z7kNnlz2fm5kPKnUKqhNAGGQMx5nQqP4JH4gBSPtw7jMcWYyQwpukdrvn+nhGj71ke7w0CGWIOBhAxsxWB+EiS9wAff/2ZxCgb/c3S8F+3KUbgFKhTApmQRcoM3KjwXiKagegVDkmQEpkUEyfwogITQHmMBOsCYciT6iAivbRZziuzeXaZJLqIFEvLZO3RwuGLjth6VK9IFMRqIEiHFwkVJDJ4JB2p0vig6QbJWiWUj0xWAxfCEaJDigLVJfAip4UFRVQJV0XmKpGQuKICWkSMqJAw0kPKY92+TSGhkkWN4RGyVKQkcypVH0nKQ+XoB4X2igmeGDQ+FHhVIAudh1Qt0WWgMJF0lyiVRpcK5R2SEiUkc6ORosajCdUwht0I9CieFyll9YcVRC8hRawWCAOLLiF9IJFTsiyJKCLUiegkMZqcjigdMgV8MMQgEUnQ1BYdityHg8/PzChJNmVd6fjMcRhIepSgBqR0IDqSBK9LoiuoSsuRBtF5YiOIlaSvFbHR6KmGOAdZIozENJIULX3YoNUJygREYUEaKDxpEigVDNSIyTF2bqmwTHyPLRvQMJ0L0lFFiBL6EjUJFFWiKSW6dFDA1NQo27MTiatJjapLzGJOdbzEp7fENlK2BiUTVoKVknkT6etIB6So8EjaqIlKZZmm6SmDy+mqSROIRJGIURKLEqkkM7OmNltKJEZPSERSClTRU3SaJATWOkQ7BVfg/QTZAUITyhlGJSSW0kmI2eMU7UmTCV5nU2XhDDIZfDMlSYX0Cdn1SBmJNWAkcXDQDjS1QScJMeDjPSUdUjhiHEhSkZREhx5JkRd6pMSYhCgFWvic+kaNbALRKaIvwA7IKsfex0LTK8cqel5dKVadxyYLaUrQBi8kpaoQGlCBzc2KfuNI1uAnAxFBShIVH+aCknq0pgioGBApEgVULhCSozd5cFVCoElYK0khIlVg8mzC2btzPnwxx/x9ixyy/E/FiMAT1YA3Dq0FMpa0OpLKhGg0RedzcIPKCXfJTAjTI4q7TU4lNYbUgvABFaESAmEi1APCduAkdA1yZ5EhIlwCD0IqjKoISiBERKeI7MqsxU490RUEUxBUiRIBpMdPA7p0pAJiNHmMNSHfl0aS4hioMQRwATGHaqNJUeEWGkNJUtCeJrzO/lYqdcimQ6UWBo9hTRATOl1RxMgkOuokGFLCEXGj1Ez6RFIKpxwRRxQadVRhzqbIqQJbkQZPMhFsJPkOT4ESCQPEfgrxLvtA+ggj9yHMFaJMaOkQuwFZFdlDK/t95IVspZGjr+58J0mUJGo2i0BVjQvzWpIaiFUgrRNEiwgWTwQjs5esKLFEBhI6KJJMlKXH9z3eCLyY5mRGAm20EA1CSSgLEoZIJBCRvs6LS8nDxCFVT8GOPkk0klIKCJBUIppAHH2oU4qozhNtwg8GtCUAvZSEUBGFwQI+CIQHRaDwCWGA0mOlxnuJH1ROz1bQTUvi/QNUEmJBiAaZBH42gdOKk2dLqplGukR/bZmXGygN62mCm4C0ib4t0bvEVAYmZWJSFEwKg50HeuNJRcDMXZYwu0TUJYQaZEWaaBRgQkJVgj5WuCCJc4OocwiQetGgzy6JjcX2NbNUsgoFvptRhx4TA1LUGKVJmpzUuAPZJoISGG1IsWLVaibDgA4RmWZEDE7B6XRBu20YdiU0W5pJoqxz6m32YAGFokBSIVCpxCaDI9IW5ECt7jd7IPzWRudyjFnO9VSCMBZSv9X8XBwm+pBAPMgCGYsSKThEhwMPvjv86lcdGE9f+QZIX5kAjcebwrhCKr4ywd1/SozF0GFy+5Xz/2pb7I9oX5z8piL613khfdP7vu6VtJdG7T/7uxTn/yTAVhJIoTJLQubobq1y0ZKLi6+amD/e9mCHHKV4B+ADHr1fjebhD4XU/vdfl+l9Pa3v+uY6y82kYrZYjil8Y+LUGEcf07gvJaknDb13sN78+lPOXZmmqWiaGlMUGWyS4SsF/T4Nas/aSqNU7PFVCsGjlcp+N0hi9AeTc/GoH+/limFkQ+1X9kUS42tI45MqAN47ovfMpjO0ynruvWwpYwbjsY1XwmjDAyNNPQCDj6mMj66hHt+TgF3bcrNecb9eURcli6bheDE/AFdxZNIE71lttwzW/ob2/d378clyydnREedHx7y9uoQIk6JCJzG2bdaPx5SIZPaHSGM8rFSZpSNlBjRGcFEJhRxTydTIBNnHz6eUZWR7La6AnCgnxOEapZS9oOR4bpktks2cYxojdx+f8x70G9/vfTz0kaRGQCxmbzClcoGeZVH7/eRxSynN0dERd6sVnbVU1mYAdPQjCDEiRj+gg7fZP7Cd94CdizGz8UJCFQUhpIOvzx6gS3AAOaz3+b6QMnPWhHwwuv8KKDWe5x5IkHnCosZCzweHJ99v4hHguAciIwnrLFobtDEcLZf0fU/bdtxvNpSFoa4qCpMLiZgeebH9tp3un9M2Hr9SEm0MRVEgyPep3RuIj8+aELJPg1Y5LEQKCSrf/3tJpfeelOLX7glISR6+Lz+3sl9DDA8g694jLLNdIYqIUgK17/fjqtCBtTiy6EICbx0wsgVVDn8YXESkMak0qQNwXJqC4APBe1QMe2U0PmQmZAxxZG/FR/OFcVzVIyP0IF393bbpMNAbjZWGD/0WU4DU8PImsEkLtmqB+O4bSBV+mFPXt8z7gqU3/LyeEKotYrrjpBK07UC3vqMaakIZGJqBalURyoCbOc6uSyazjuaHO+Kfn1DoQL2wXH4ZKMIEJZ/yxdkXuKpFqA79qmDSR06co33vhqGfs3k5YbNOLHzi/ZVkXRSERaJ4/5b+Uw8xUZY7+n6JEBoSHK0dUZcM8wV0uRgcJj3FRqI3Eux4D0tHVd6hu44oBLcVFE/zM/X+bYHrGlJhGJ5tiW8mSKehEfjrBQkNTaA8qlHSE6qBIjmKNlB8vsW/u8AdK6qf3SK271E2U358tOIn2znXsYHTS7jVWZdU9Uy9pw4BOrhIU3aioLrZYKcK2QhOLiw2XWOF4L6roFNEI2FiSbsSdoaiuAESKQretgZx06BXU56/eMVm59h0kmhaUihIUZM2CeMNpdccDz13nPBWzuGdzzA7he41YvqGrTlm2x7DT0B9b0L1vQkFBcNEsJkl3lS3VH1B0z7nJ+mYxclrTqd/z1qXpFVE3kX+tFxxt+j55N0tH775U2oc5bBiKqYEM6GezNlpgbI76n7Fp9MSNbdUT1sKlujLJeqzpxx97y/QpcaFY0j3aD2hmrxPt/07LqeGn33vKT++fp95jDSbDXfmiDJNcOYZybximEi2T054506TSsnPSwn9FB8ENgTE9Aineu5mW76zvcT7ii/Xx/z4ezuePa9Qd09wRzOK0PL+7hPEqUdMNKLZkdodIkbMQhNvZtBD6Xb0q+9jzZT+SUvTZvZ2IWfMmwmCLeX6gs32FGENT+2W/lxj5xWtPKGeX2OsZ+AZ1VuL2XVEtaNc9JRlhKuB7auIWpW84z3mbgDtseIGdCSphPrkl3D8PdJkgWTF0u+YJMXdPGK+e44Rx1Tbl7ATxKFAo0d/tZLIL9B9iQwV8cOGGzo+uWv56f/D8vHHW370oWOZvs/mieDVDN7/yzlp6hB6g/uvn6BXiSZUXH3QodYSfQ9132ONoS0rng415fSWanZF8yWIsY6qS7g3sKqzX7hkIEYLV01+DmtJ9R+/y9nJhI/rmrdmIJVzTHPK2SuH27UMuy/oZhOKZoZ6suTifIc1miDPeLK6oKwKyucGfdsQxYw+nmBqS4oRrw2ptiirKTZL6mkkxJbQ39C89uCzbE//rIU64M80Q1+DqTHLmsndFiE6wuyedP+UaCOxuCbc3xB2Nap4wTC1uLpn9weO812LEgU7ecxpWqO8RK+PMbMCJzRbYRHFFsUWiSamU5ysaBtBaScUheb4/+C5+0wRN4EnP3uL+1ATzyfoT7dMii8oigpX/xCzuUC0iY8vJW/9hlYn3DAGsqS8hOMqRyjyvMW8u6V6ryW9v2O4UaTVnOpijqy+QJtbdm9nTCkoqYlvFpjTK+REUn4GZSXQtaH78Ahzv6VcXxKuYXF2j1je4o8ryiuJbDVf/qsPWKQ1c9tS/ORDhiNNfyK4PR6oYqCxgVMJ8aQjLC2LTwSyTXArWIsV9jzhXwSO7ufcyiWXSdOjWJYtR/UGcf+aMDmhn32Xtr3j3l5xRYm8BF0UyJOC1xc1wURoEnF1AiGS2LH+wZY5Lc/6ls+u59hGE44t/rLEmYhbWsrLFdFL7knM+p4UDRtqoKFXnsuyx79eIoQjmCuGTmfAkx4nJUMhcE8cN28EsbW4tIY3E8Rckt6f0exa5OBxm4rLcAQiUVb3XC0+xhwteX8xRRS3hGGgvYLw5AuGqmKVnrJa7tAR5m9/yI+HCyZlQMTnOFq2ZcdP3y2phzzPWhnFcwZqpdidvc9yY5DW8KlsmBUX1K5ncfMF7uI9Vv4pv/zIUp2/omq2HL2o0FuPdKB+9ITZ64HjC8v61XO+P/uUp0VLcf8HDD++p33WcWefIcKK4Hdsbnco8wThpnz+Z2cY1tTK8fwvF+jzFeakY3n8I17tNFeriPoPP+dJe8J0ZfjfzWcMu4Jwv2QtT5jqLUuz5j4usV2BsBr31JM2ES5/88z5t2dKJRDqETD0jwFyJHmg/e+TpFJKBAEGlVfQHwkDvm17DOQ8LuBSEl+ZaIqDBOPhZ/nvfAQP//6HbA8Qwzf5Hn0TwLQ37/42adq+INj/TI+ePCkmnHtIfvtdgal/im3P3tBKMa8KZlWBTzDEhIuZ2fNV0POhPfbJV1/Z31euXzpc48wGyVckJ8Flz5NcAEmUVogUscNAu91m+U4zYTqZjcBf9ks5wJQxjoyN3DebsqIvusMxfFvz7wEjNTKFMAXJugwFCIEZfVP2UjBSeEg8G7e9t0tIIbedyGDC3vo5A3W5b/kYKBhNxMUe2BrNex/t1xSZEeKcxfksz5stFhglESSEiNnkXEBRlKOxsxyTy7L0JDwCb+Xo2xNjIHqPCyGnzwExBAgBIQXDMGC7nmlVs5wvmEwn+RqmDI4UyhBTNv7v+gHvw6/t27+LfG9/XZazOZO6QQrFru0RSHbNhMJoUkh467PBrQChFULkYlwJNSLge8Q6AyZaqWz+DId2Rwi0lCTkAzOKnDiXfZ1yAuG+uI8xQooHkK4QCjdKC/fphjGm3NYpg/ha6wdGmYQ0GnDv/cBSAqU0gw/0zmfQqahGsHAPOGbgZ1Y3uODZdVsmzYTSFBhTjeStRBMTRubC86vG6d+++RCw3mWWjcwPDZvGFS2hDhLRPI6lA0CrlBnvt71J9ehXlEZcb49iiTxuPARDCJQxB5BhcJllk/uVx/mAD5G6qjJQJ8D6gEygYqKQmrqZUNcNzlucc+zall4NlGVFWVV50ZUskX2Qb//3h6geA++/671wYBuF+BBwQBpZrJJCKijEnir06HNj0MN4/2qtQDxOY8xjuBt97YzOAGccwVAxrmPtb6MMvPpH5/CwUCX37uOH58Fekj32dzIzJ+wXklSRx9gEgwvgx1CDUVqclEYINbJ082J9HCXR3vu8v8RoZj/eZyrLpDNk/LtvzQImNiKsJXi4bRL3NYiqpPYDx+ES8WVgR8+mzA20MgN3RUvoNDOrON4uWJUDLiXqAC9OPa0T3G5K/FNP0Ubmb2CIln6luL7VHNkO4zz6UiCOZrhg2PQt8eocqQaM2TBtHXECL983nLSeIey4Pv0CMff0g+JlZ8BKZreB027LL3YNvfSkeoOZO5KCXgRerzQigOvuGao2X+i+xhegomc6WNYvBAGJuTYIMaWIkRM7cH+lsJWAp5bT1RE4yfquhbCkmsI7P7ji05+2+J3mvQLm9xoTDMEPvKyfcr8sYG4pt+fUTrD8oedK3BL0Hc2Tmj+Okk2r+f/+DYijLeak4/Qq4NIRa2Fw5g67bNG1ZSHPuL/pGNqB66LEugai5tTesNWaDgESTuxA3VneLAOq15hBcSa2xKkjlobXF2cw2cKio97UhGqOK2qq9SVeOFrdc1MW9KWHYkvcBZKVEKG4KCD2kK4QTyv6rebyLwxPz55zUjiee0tx2XA3tazO7/hTtaaRnlIt+aQqKOWCmTjiF8OUI33NH88c5s0v0S7gO4/rnzMZdny3+4JffPAxqTRsmyX66A1WStY0LJ2Hk8DiyYoX+ofUbqDsVtgfCC7v4Zf/2ePPzlk0Ff+hPqIcNCptUZtb3ju6R9cDdjbhy+UZUgzMtxeU5in3hQRxg3u+oTCJ05RYrzx+AFLFG68BSVlu0OsXmPmCyck92myxCS7LI07KRCEiKXrupgLRCc6/jKxfDPRVibXvsDN3yO6K408HhnckSmmqz2akM09SgfJ2inz2CldLXodzppMBYy3LTyvUKUiVqN/eEE1POh+IS4vonyN8DfqeNoE1gsW/msDVktRJJsd36AuBGkB9t0COsmQTv5+fcynx/N4RZ8dgSvSux88hFTvEW2ifrunMhlocs5UlndJQX5P+quXFJx715Ih3l895WlSEtuMobkF0mKMaWZ4jw5K/3GlCsUE2lugCMuSxq60qJiKykB2ffeclw+DwHRRPoNoJig3sbCQmTUWBnRwRzYDRO4oTR7CKNCiOllMmxQTXGv5X7XkiK/4wLZh/sKEIFrGWvJ7VlE2BVILntiWtBGFrWX1wgpQ7Zv4ScXJHLAukeY287aFKFM8FUYOIDfHoGFHdIkIFy/8BKW+QgyX0kfbsGOkj1Y1DPF+QqgTynnhTI7spar0kfbxFMqDvBMI2JF/BbcRPJbVtOH41Y9ArBg2iA31r0INAuZ4vP+6JVeBZd4WvLRstWbUJLSyxCWxfdCwuFpi+wi52GBsYguPvnl7wZPUjZmFKrd4Qhh7jNeYmsVYTNmrJl2HB9pnB14nidoXtlySvmZsbilXCC3BlyabXvPWwYWASeoSy/PTHHYuLI5r7c5T7km6h2U0EV7O/ZXlXML16h/miQ7YGsVKIpy8RtSJpg3/+jLjViLeC5m7F9oml+8BzdvlzpM9m4+G7c9TdwOyXW5599hp3BuFY8bJ+wfbqJd2nN3zc/QnprMO9u2W4zQCSuIzExVOOueNEXhF0xfpS8cvXc87PPqHYCMyVYXm3olxHhuGIVLXYQbPblcTYg3RQCMpyRe0CE2+5f6vxQnCdIC4jXgd2fX5Oly3Md4lOgAsS5xRl7EkqUJkBsMjoMV0PxSWhidjjgRnZYH3TCvqJIDpN+KzmmI5COKIYeEuJ7wXF6y1RRHzjsVNLufRID2kLH79yHNkNXzT3NOczUn3E6rs15/MBoTyVv+SdqaaoJOujO7rFlJ2puI83LNN7mL7m3Tc70osr5LTjHQTt589Ia8N3uGN7aokGfnQ55fpU0D9bov2C+nmgHNacfRpIg0KYgmq94/464gI8/fiWd66eML2b84uyRMqn9FheLmrq2wvK4ZbvfnBP6QJyK4nDc+5sT2tf8yMxJ6UJr6Pleve3uMHjbMTe3vG0OuZPzieE11uu1jPe2BP+zX+oWN/esr1eod58Thrr5+rfnmLDimHY0KgJ7yTHi/bXkw3gd0rfezA1/13xqIO06/EOxiIQHmCelKCu88o6zjH4MBYjX2PTfAvz6GFvX/33YynOV/fz6D2/Aet5DAjtz+WbgKbHYMpeQrZn7zz+/OP97n8mHk3EGWUQ/1JAqP22l/DtuRnZk0hQaUVdGKIL+JQOzBshyDH3Y8G5l03smRIPnW5/DcW+eTKzR45W4fsChn3RkycDKYGzA9b2eO8wRUlRFBSjhCkfszykQsWU0PKhvxits9xtfzh8Y1d6YHOIB2+hMB7HWCXl9z1KF8vspAdmQIzxkNgXyabEeYU/Hfa7P4bEQ+w6cmQeiZHFN7JbkshsEiHEwR8qIogiS0rk/rjHz8XEwajbZ2rjyJjZJ/Kl0eB49J/yDuv9aDicDo2jVQYOjMwJEErrbIbpcwJlSoEUslG4dR7vwyFp6x8beBVSonUuUEMMB5ZWb21mkEWPj3uAcLz/0oMAMj0CfIigZH4dUjy0idgz38bzfugOYgQ9M8ioZELFbCCfUoSYsjGzgDSalke+ys55VLYfUtBCXmI79PUMcu67oTh46URAeIuPOea6Kstsiv7Ih8nHbH4vpESOfj/7Mf8xC5Gx8N+f3DeNvXvA1YcwAksQkmMvxzr01z0oJQV7abgYUYuYAuyBPfLtkdtn/Js84d+PEz5l5osPIQP443e54HDe40PMjKxRMjk4jxABJQNpTOJUYg/uZR+wlDxKB0xKB6+jx8+rf4nb40WllDLYmWAE/jIotZdX7+95MbY345iyH/vEftxO6dDvDr0hcei7j8fq/X11uJdgBJ6ANKa3kR7GfcaxdJQoxzQeywhy5r7FgREnxn6133/20jvQaR/uo0f3yYNPYRpBqf1jZUx5/D0vuJ8KzEajesM2JHbe04aAaSTFEJF9ACvH6OD8mZgigZz8pT1on/DIbGeQRL4/gkKFkpBahJfIQWGmDpcibp2YnzSU0SFs4K1UuJRIcqAKJUSJcCVlEHgZsXVCrEQGacsBFxU+SnohkEWCmChaebj3BYJkHMoISm2w2wLhE8oNlDo/R1JSJMlBul6X5HFuAoTsTximCdk3qCBwi46pN+hOIPucTFTUkTIGpIqoyjM/TojVhOQl01mPLhdIWSLjBcF4nABnE0lFUII0JJLsSChEEym1p8ShYsKPTFArJUiPFCNb0EO0AttIvHpIn4Sc3FfvEiURXeb+p2OiiIFCBByJkCTOS4QCWSXUWhJHuYn2EIuELyK9SgTlkSIh27xvgOQTRXAUyTMIQZfgxmusAx0lCxTnURKCog+a5XSgHkqKdsGy6lCFxMwkRtZU9YRJPcXXBdpYqjpiSZQpUrtAETYQDKUUTJpIG0r6boZ1K0oTmWiL7peYQVJ1PWu9Y9sG7lvH8VBRVYaiTDR0SOkRpqRQHlJL7FegqvH229DUNVVZkednOrMTpYNiyPf4oKDJIDNBImkQYkKgxcpAJyK7KrKQBhUFpJKARChPqBOpAapENAlMBBmgcqQyZPBcFiA8UQo2pqBOG0ySuLLBYcmRdluU8EgVkKbH11lWJkJJilNINUnf4WcaWyp2U9AbhXI5iTJpTZCKWBSIwaNiy+BneO1IydOsEr0fcKVDJYEbEs4HonC0JtAX4LcTuipiZUS5SNlF6l0gncO8VBhlaKuWgh5t19zFgegm7DA473NKn4joXQ5doYio/qG+6rGEIBFDg64TGo/G52drFKgkESEgVCTVkEwOcUlaYNIC6UvCEDGuIA6a7U5SHXmEDcStQCWDUApXBUyvkINHbXeoDyaIJEgD2MLiY8S7hNo5JJEgAjsEKRm01+iVJ8mIlwUiapQIyDoSksJH8ELgZIGIDt21tFoT0cS7iup8hTIBtCJZBSEhXI/qPVFJvKgIriVGDzrCEIkOvLHYToAV6DbSDQ02JZLaoWKfx822J5gJSI2/rwhB4mVgFyO7dU6pc8cVIWiEF9TFmjZ5dlJBWYOCRCA4RSESygSqGBmCIJJZ424b6TaOng1N7FHeEodAbwXJGygGpKhISRP1lhCOCUNNOHJYBzFY1P0WoSYkURG6RO9lloenyE4O9HJg4jQhSJyQBOtQoUWwYWsHWOXUy/u+ZbWNtLuC96wj9p7eRmy/xtmS2BU0vsfILVqukIMmREWrJZ2zBG1xxlPEDpGGPOaR5x4hhPzMlgkMSOUQRDAe00uSBMz4zPMSGyUmRLQTVL5kqASKhIwRV+XHfJkilgKVoIwaXw+oIlKEiNEQxLh4FTV4jeoFaq6RMZB8IH9pJNmBJHLAQAiS1IRskrwFsd4idECuGqxyxEogZyXSgAySeluhpoFkAo4t6BNAI4ZAIGCGwHQX6PuGZAqMFOiwIAaB9FcULpCiQO0ERaWIQhCGhC8lUQqqukXgEU7CUCLbKTqCEQbZgAyOphTEUtCKArvWlE6gusQSnz3chGYeatpgGWzPYhnpnMJG0GUgTBMUkO62yKJALUDdWIaN5S5aTtAUaBZCEYsOLzWuKLDRQYAiaaQdsnz85B8TlBKPJ5R5MrdnVPy+2wPw8uAdnSfKifPTI4IP3K823Gzah6L+1+7rW15/hRH18PtvAoX2v/u6HOyb3rOXTX191frrUrE9y2kvJ/s6+2cvl8iJX3uvmjQmX+3xuHyj/FOszv/221dhk0Sidzl5SQnBrC5wOLbeUyh9AOpstIxkE+pROvP4fL9aUOzbOlOzs7wqA1x2sDjvsYM9AFZKWW6v3pJSyobGdYPSGmvtGDmfV9Oiy7GkUeZCR44G0crk5Ccp1UFa8hiA+vqmZPbK8XbAWkdICaUTclytD/ngH1op7oEFT4j7IlBlrxdi9j4Yb0SfOCRQgWQIdgQRgNHMHZlTpQS5fUgcQBhP7kn37Y7KmOwPE8OBObAbBoxWCCmxMWQJVkooyKl9MTMmpMwFbPT+ULTvgQIlJZXRGKU4ms/ZeY8Nnth3VNrQ256+H3AhFwY+ZlYL3wJGfZPE8zdtj+9frbLZp/WOEAKL6YSYYNtu2dpcXGej+AyUKhTO+kMPPhTSMT0CmQ+/PQCMUiq0Vgdp00NZLkdz+D1jJB3kx1myJnAhsOs7JmWVGR6PPNCkEAdQJ9k0JvRJjDEj8Bmx+3GGLPFjBMqUkuyGnpQiRikm0xItFbf3LjPcUiAJwbbvEMNAMTiCz71Ea81ut2XXtiPI+u2AbAYSs4+UdY7dYFFCIFLCjXG/B0bZeF2kEDDKukLM5xVjoBt6iqLAGDMyVdIBZA7e5/eRzff3zMEQczvAAzjxEHaQaNsMPsdRjsi+tWS+n/aeSWJkwqUYDidsR2Brf+7pq0PTf9ft9wVrRcrjgkhZxogQo8xZZjPycYEgxMgwpjaq0WMkxbGnjwAW5MTHfd/cg8pCkMeUA/D0KORDPFpjiCInTwKQ8DHfI3tfDA73cH7HISlvBDpiAp32n9vPI/JnUiKDbsEfQNB9WqaHPBZL+RWJ5+MthL2/4O93oS/PBE2YU61PeI1F9lvKtGV4J7LeZF8dQcL5CjdU1PWaykLpYFd3xBDYWEtKNSEYrNW8uUpIWQFTijfZj2ZHyUffvcPde7ZfWP74332Mdi3bl5/z8886rHUg4Nn8jjjUtOsTGkDGHUt3x5shyzlPjODiXpN8JAnP7qRHhRJ7f4RhQy08yVf0vqcuC96bHfHyKhFCT2O3zIYapySXZb4Pg5TsqorvaNA13EwUq889OxNZ/1Bx8pdPMMJwc3LLUSiZm8QTXTE5v8MFx+u/i8QS9DlM/rDn798c4X3NH557lv6MyRrKP/9zXv6rS9YzgfzfB4aPztGqYfNngU/1htvGo3485eTTSHOTWNtEwQ1aSloq9H2ey23EFX6oESKn7BnTgk7cUgAC5SLPP4f2uWJ7oim/gJl11N5hgW43o22nVNUFvrL4Kj+HESsQjqJPiBrkVDBgMdtEtVaYNhEKCCUM04GjreB0J/jsVnDz3LB6oviDuxWnUWOMZjq1zPqG9vUR6ugCs3pC8+ULPvzDP+e2vuG2ueZH8wWibOjKZ/RPXhCaDc3xFS0rYtBU7h3K7ZdMhsTZ1rA4WXLnThDbZ6zjHdUqctwZtv2WkAokZ1z+2R23jcM/bfnTTcNQOD4p3/LHPUwmC8Tzj7mOl4jblubTL3n3xY9wC8XmaMO5kUwv81wkvTnDisBdeY193yK8oHhlePJ+j7MlL39xjJxoUl1xa9/hUm6weg3lS1q/BLtEbd+lDDdQdXQ/7pn0lolz9OE1Ub1HKAz2O7fU/S06RsL7ktREWgVfnmp++FIzuVMUzybs3JrAgH9xwXlRUCtN+FCQ7HNEW6N/dkecT4gNhKnFf2dKlyS/cJec6wlzWVB/Ehk+mmGPGtyuZuJuUP6OG/sxbrIjiZaT14KL+Cm7ouXFHzwlfW4I94r1R2vSEIlb6P+yZXpWMzkumBqDSRJ5lJgsOmS1wyrB27MnLHtLc7fiz68VsVdEteGJ2HBvE9t1SbPbEY88LALLDbTKcC1L9Gso3RzjFyw3HYI1cE8pJXFciDy6vcQtoT+BYYDQgFhI4v37eJMI4Zb/eC9ZbzXX3YA8uUMZB0bwNJY4BZ3u6MMx0q0w9g1LZyBJumHB9bChk4bOTHn37g4TPHSOn+IQm5LFhaLsHXK6gRcv4ZMdZQnzDwzy5x1b7Xn9LLK8F9RdQN+teP1xYoPn/m8NH0tPMwHZNEQ7IPxAIdfoi45+VvLlR4nzz6BwGbQOM4c1ifunEvPTE8ymwqPYrKfYsqf8wU/pr9boNRz9eYH90y2DrnD/y5L2OGArQfV2yc3NPW+Lju0PpoTXZ1TO8Z3v/CU/v4xcrz3Pzqa82V6zuesQwPn8lqmM+MvElSnwKj9Tw5sem+7Z/NuX1MEyXSfe+eSUi3LHTbMjvbdmeaeZXCeWAVQrsAK2M89G3WA3G5Z/A+XZBDPVDH93weVHJXfvaIxeoYc79MsOb/6IXeXohEP8xRvs0zv6d1bcD0uefNpw9l811/rPuF+e0s7eYej/CvelYfe6oO3/nqvyBTfl+1TuC+LsHjvfcHJ3zHCakN/xvPxJgGOB+tDwnW1LaG5h+pZyqHP4juxI/ZygNL7MWMOuSdzPEqdfDhQFFBPB9mKKF5q+SJwPA0WqUHLJijUNlqV0fPkE1ADLC2iZo4G56lmf3FNaz7MvEndVXmme9bC6qUEJqtoxnM7oQmTnWzwFUTp601PZimQ1aV0xTBJKB4qU+OLuC4I/5o/f/ju+ePlz4nLg+b9eUHeatFkgXv6Qtz/+Ob2+w97cMb2ZMfOaDzeS9dEviSJRhoLt2x/Sr47YHEuWxwE123F5IznfLFC+5ovdKU9WX7KMK67DBZd8j3ZSsfzjzzjdCsquYi3eYWonVKGjPNbcPfuMC/Ga5WZJ1wi23rD4fwlqUVCqhoUrWJUFfmp4aiVVp9hES/fjn1KuJph+wrsfveC+9Gy8w/7FHduPHb88XzP7+4Fre8lbNrz9rzUfdZp37Zxwfk84nyFncy7+37dM0xlL9S4r87d89oHji+//5jnU7yTfA0mhBdoo7nbuHyzn+Pr2q/I1eAxOJZV4eXGb03n2CWHfMg//JnDpMUj0TRK9byuqHm97L6evf8dXWQMPv3sMRO19jB5vIQSCD5jRVA7AWov3Huc8iL3PkKbQmrIsmc9nNFWJ955ffPJLYgAf/yWwpvYtnM2Cc7EZ2faWKyEQZYXWhmltKIsipyiVBe+cn+CDpx96blebXEyOl34kUFAWBq11luONYJaC7FtFfqNvRshcKWaTKSkFrB1YVAYpFVVdZ1BICITUNKUZfaTkIV4cKSB4pMiyy82uZTcMGSj4Jvf9r22zxZKnT845PTvh7ctX3N+vuLi+YS2ydKuqSrRSeaXf76VvI2tkTOWTQhD2RXxiFFxBsH700hIoAQezbfK+EomkJGaUrri+x1qPkDmxrKprQsxMlo5coMqUmST/f+7+7MmSLL/vxD5n8+VusUfkWplZ1dXobjRAACQwQ3LGjJLJRjLTg5aHMf1betKL/gWNTDJqMUkjyYYzRoIkwEE30I2uPSszIzP2u/pyVj0cvxFR1VXd1Q1QZI+bRVVGXL++Hj9+ft/zXaTSpGBvmUFGScQAWFVSU+sqg0ghUJYVRm/TszJwZcwgT0wJb202ERcCu8pR0MlHynFOlqiKkrPzc5QxFFrfRrd/G+CRb9lv1/aFgKooGFcVhdKkqmJLfHHBD9Ivn5PnBiCiVGIANTLjIpFZaKi7fmTrO5alngNyHwKkLPLKZuN59jeGmEFUIdEms5FijPgUKLTJ+/WeLnX5+Z/sYq3N90FKvM97FQqiGKRtIWRAFSiVyh5WIstOVWEy4CAVo6LMRAwp8C7gCNRliQ5hAGniYKifJx266Ad2Q4FkkkGa8/OvMLa+7U7cAkHD/gSCYoBIAbreDm16YEqKDMAlFUk6y/sk+b70Xcfezh4MzKgQAknpW5Bhy74JKZt+ZlZLvN2XRA6gQspehVs21NBGtxMsWaYpKQbPLynlACSbDHrfYyjeXoDfwSXBwBrUjOqa8h7Qmk32B5N48nWttGZr+C8BqeQt0BnZWprfddIi3XmPpZTzLLcTW3HL0ox37EJUlqdz660xgJXqjqMkRPbeuF1hOJE76SzIrVk+aZDjDYC8MiQVMlMxRtTwTrJhsAW4Pby7DQu4ZQTdN1v/rZdXBTp1jPfO+Acrx/pRYPEw0f/8CN9lpulOuqZOFtjQougo2VBjCJQiMlMK8XCMXBeYS8O1cJTaMzUbvI1sQsWSKZ99rIh6Q9hf8X/96Q0TL5htdhk3HdEEbiae1z5AmUiPBavzETLW6G5KiFcI19M3juqxwqSSyXrGu67HuZ4mXnIiI71IzE1ENvuUzQh5PiH0Eh3XHKkV5xraaozff0z17mNq27MnCkY3M/Ca6RGMdAu9Qn++R6928bXkAMGXE0spHE83iXRzgBeaiwPJC7NkTIf87yIf7t/QV4LX5/+ATVzi3A32OBF7T9VqnoUDpv4J4/0pD/7Xied7T7huNX/xz39GayO9DuwdO650ok9wcGOzua6E4lBws4amv/MRU8CBtSzSDo0wfDF+R33jMNcBKGm0xkrJrrWUekXQ/fCkKUiKvp+gUo/pNasHO8SmJ721lJXH9COUq2n2j5ChQYYOVscsYk9vLG2/x4ySnVLwifyMUu8zrY5YPi2pouS9KPE7I0aVYHbS8Ex8wHrXcbMfeH3pqR3Mugq9/xpdgSkrJpcNSkVkJenfe8AEeBCg2iQmZc/Ri2sChxh6qtTS6RbjPXWvqT+U3JSCtzuRvdMJTS04GHVUf1JSihFGl5jyEc1Ow/xRYGYrpimw19YIWWG4wbQN3eiUmGpsf8Lhy7eYFBG2RLljRJA8Fp6nBy1PH/bsFhN2Ty3vbhr+smuoXk+oizn2h2+pXz/HXJWE60s6kSXjbVJ43qBDxX57wmcPG1zd8cBeUhSOygteXFhOi0NCLdmzf82IHhE9bevxF4quN8jRIWtd45NhbKfMRzfYfcdsdMSqWtO5nvHlYzbC0Y9bdh5/gBTZeyxNHfHlCXIVmby/ItqOGCLN79fs3uxy0EwRlw+pVYPZWbGzPiIVFbGoWP3TEqMCRgZqbL42paLZHHEJtCrx/meGwtREM2FvdklRO0iSf1cWrBroe0k3E+ikKeYG0hRwCBxH5QHNpGWtv+TLlUcHgQ5lficO7zkDhFaRLg2222FHdjy47Hnxn19zPNZUBNKypSo8ezuO/ss9ZC8wPci3b1HCUcmI10+JpiYdfQBftDilaOuSvctLduuecBRRP4i0xnAjavbtHpqAHn3C2HfolFDtGi8fEjc9zd++Yf1iFx1qXpxWqEfnYCLJPkQqz+ggMvmTFeXNOegR/aMXtP3nFDYxbSti6Klc5Plft9ikaMaJxYHj4cc6s8seesZhgyw96w/H7L35HNUm1NlTmC2Q04i5mSA2FlUEyqdXmL0xMQqqzxJxpySomuWnwLtPEMpRvnjKj+uG63LN/+nyms2exs005tJz1WhWJHaTZZocFZIrDGJ6gd5p2b96j3p8AM81Z08banfDxFuu1zXaRmIItN1zdneW1OU1TfuAqVCosSbstzg5x7o16vkfoHRBeQMndITpU7xWqJ+/5Wg8ohhXpA/fQGuJbwPvXhjifo1dV/zo0XPSriRMA114wGgD+w0gax6vj1gv9zlKiV6fsJlo9g43OFUzTftU+x09e6zPj/nk+WdcLhXVLyr8I0+KgtRJipsNKkTkVYEIgkkjqBvBzWNB4yVmpTFFTwgFXb/LtVkM4TZrmkIhU0kQAjWH0kcMPQJJqxRvioR9O8MF+DJp9os1SMul6UmHY5RPcGWJp/NhSKdJ/ZJUe+SRxK0dos8JqeYsIEQiIFBij7C7z9U/LXnyNz9E2Y7+3QVpA0k7xA8XPLIHhPUuN/QUezMimr8Wh8x2O6bCM2o9yS3obM+yeI8zdYYQK57aGnlwQqcKWjGnay3CgxYl4+MNaSewqB4jxZyiTCwKwdObBeZmzvzTKVpEdkxBdTilYEKUNWVVcrSzQz02fOSfwOgdWjWM1o8QD64odjzvRnscT2t2XcllHVh6aKwhvDhBrOdM/mbDdPcJD6e7mPGY09mSs8UVq8WaP776Ixqn8GPB3otDTsKC4/AFfWNRF2Pk5eTXDpO+OyiV8rBzOyzTUlAqiZD+1iDvuy7fJFsbPvml39vefSNb6du2ex80+jrolf8/nM694efd4PmrkrxvYmXc/9uWKfFNx/VN21GDibVz/tawPA5+PFIK6roawJlssFuWBUVRMB6P0QK6ruV3sQrKRULmkmzlQj4E9kpDkSRFFGx6h3MuM1WkpDYlRWlwLgyGzzEbNQ/FU1WVaKPRxuSiIuXZWDOAiCkEpBqMpKVGakkM+X6pgQ2AEDhrc1uQAS0YZFuJbMubjznaHMMtlWK9aWi7/lvP9ZYQAAgpaNqO5XpDURnadkPft7i+R5gyg2mDlPOWXTcUy0ptJUuZuRXiIOVIka2/iZAgZLpLn0p3zLutIXCWt2SaamafpFvjeKUGWaTYsndy8a5VljHFe8+MUBnwSFFRKpXBCbIMsCpLClPgYn45kiKFMSQyI6GNYTAKzkwlBLdm1PnZHnxfBmbXd2nhv3WBODyHWimMVqS4ZTnm/UcRCELgwj1myODnlhMR5a3cSQwm7oltXyAGIGjoH1I+T9j6Jcmhnh58e7ZeaSmboGuyPBRSBvmGFEStVDa/Sfl7W32HkIIo4i34I4Z2J6W8M7mXd/2VAMw2xRHwLgNOOfWRISlQDmyshLMuM4aEyIkdJmZvsV++G7/EIs24VpYNpugJafAc2qZgIhiVBUJye222LDTrsnxTklMRt4b8tu/y9RJi6DNlZoINYGwSGV3cgk4DHy3fc7H1JrwvU83Sr/vMPokYgKmUWZdSoUROp1E6e6uprzFcfzeXdAtOKq0RMeZEMQb2l9iCPAwTAkMS5T2KXL7HX02/5V5bu2136Q4EJKUs5fr6u3PodxlAyu0WhRi+P7yv5bDP+0OFLc90myyKuLfP/FHu51JmQjLsKgE6gU/plybW8v7Stplsm+bfbWkl3nj6wvKwSOiRIk0Nm04QvAaVn2cpI0IFylDRSU1flMzSikokigLiKCJsPsoiRLS6FRejCYyEo2kFjBRyoln1S1yvsC34IBHKUCVN7xxRKRhFCulIElqjmI4SYhMJTWDsR0g5IpkJspujfEAkQ130JBUJMpJiQrpI0Tj0dIoSI6SbUhmgKJF6ykRqxjKwp2e0siRqgxoXJDp0gpmuWQmD95JqXvM6rem8ZdeOqKYFVJqJ1GidCI1h/iqhtcf5jrlpGZdz6nKNfbJLOS2YpZIX7DF++IDqcMz4hWVUnGAuBWrR0UkJukDi8EljU/a8chKigVAJdOupiLhc+uT3mQ4oHzBJsZESY0F60Cbm94aW9EaQUkDgiCiilSQpSGWkCBLdFfRTkBvQXWbV4jUxGqISiCGgR2vAgQPErEDWCa26nFGlBH1hqNCoSqJM4mLj2bRL+s6xM33EWFWo0nM6ThRryaRXtHsaXQgqLRiVM6QGRoLdccUIqHwAGyk1VKqlLWt0EJR9oC9LQhHpizUpBMqo2F9LfEx0IWF7wYWFUegYhbfY3Y6N9NzIQL26QnUJ21lShMt3nhA1QvekqAnBEJtqsByoaTcVUkTK8YbL+QXyLbTCEa9u6Dcr7MrTuYQqQSZJrCIxSeTG4EY5HVH1Mif6BYNpDUEbnLEk74lEVFRMYsFCj4lKUDYBVRuiVthCEHWJ6Q2ztSPMGpw2OJMIZUfSluRmFH6Vk85UjYw9CkucjtFRIqPClyWyalDBUo5yvxY9pEJRjQqMDLigMEWiNAmdSmKqiakmTaYkaRGpQ6w7UlmQdg0IjZQG1UnGyxVJB6yR1HqSU8nosFISBkQ9KYXyApOzCYgqEstIqAJeWZxs8VLgY4GiQCd7O5nWa3BR4ltDtBXJ5Hf8SGoqJVAxEKYaU0iKcSS1gCpRZQXuHUo6pEgoF4mFwo9L5LJFFAKhFZXOlhKeijhxCCWIqmAqMms8GImUYyQOHTaIKuFUpKPHFwntJSNRZnP0EEhJMXYSV0HYD7Tvshy/KkP2dfUKoUdI2yM7iWlrkog4E5FGIgKoKKm9pBxlxn4oBXLH5vf/UqAKCToRQ0I4jYoCNWpJqgQEk7HE6yx7ljcObMjSyY1Ge0mfJJs+z1kKIzCyxAdBSAEzsZQ+IhPEWpOkJ8WePoKR+W27DiBioo6JHaspMchCYycKoyQmgXcKHUD6RJQVLq5wXU+3dvSTbF3QlWCionYGRaJyibKPpGmLlIkkBJvSEsoWWcOeHiN1IJnE+aimTo6xc6hUUBSJ0bilFgY5LaAqkP4aIzuk6RlPS5SSeOWRTJGizimkwRLT4L0q/SDrVLkvTJaUwKCJweBtCTK/5WIssUIhtCfqHi8naB/y5FRfEaTHjjck1xGFxspI2SVE0EBFpCOImL0ORwWyDxQRkgsgJLXW9DEiQ6R04IZ5MCUjqgskmSXnwia0hEIJZpMCZSMLJXAqEYdhYmET9JCCRAlHBzR2TN1IorEwWxFsQ9Q9dbHgUrWEZElCEsqKpCtq2RBmBhsd1SZhZhY9E1TNGKdbgnHUtkONIQhFQ0dsaqQcwfEu426EDBq72xOLCi9KoqgoKkNhBKwjKkWMAFlVICqCL1iXAW8dwnnYiRgfKdtEuVsy2dG4ieDGKDyBTvd0PlsrKCsYTcaUokOjiOMRMk6RYfprh0m/EVMq3QJTd75AamuQGtP9ceLt8nUA6jdhOOQx5leLnV+5/rcASb98Dt8Af9377jf9fNO62+1t5U53EpE7JpXW+tYvSekc+evaltDkdIXoPePxiMl4zOMHD9k/2Gc6nXKwf0CUWc60WDecnZ5ys27orBs8L353CqNcoOR/VYWmMAqjJR8ezfDSsArwL376CW3fE2PA+Z6Tk2MenBzzUGUzZ+8cVV0PhtoBXVRIrZFGs2nz7NPtDHoM2YMpgvOB3lsulktC8DjvsG1P8Ftj7ngXdU+WeQSfI2FTisTo8dbmdiMl3nm887m9f1M7u0WlMvjxs48/Qn4i8vOiZPbyKUp2pzuU9Yh6VOdCKya8crfG4mIA7wC0MhnIi4HWdWihUVJRqK00K1/kGO+Bt17eSvkC8VbORMom0GJ4hreMqa2MJ8VIqQcWWlkQvB8kpRFdZemOgDtvHSRVUaK1vpXEZWmPyPHkQiClxse830LpWzmW9ZblesVms8Eog5L615LPvv7s/aZLBmGy/FKQfaW2cq0tOBgHOZOU+X5t5T/b8IFbEEhlgCQlCN7zjUcj9C3wtgVfpJS3ZvDZNyoilaAyJaOyIoQ8wLqez0k+oFKiLMuhaQ8gFWTvsIG95u75SOkB/N5er1t/Mh+IQ3/tnLttw6YospcSd95A27Y3GY0wJreHGHwW0A1Mqm8FyLfgQ8oyPNu1MPiQMbQxozS/9/wJZVXktuMiXdvSdR3nmzVheC6lzmCo9563p68p6zzbA1AVGQzNFzIiEhilhxISzACEIgQ5/yADqXobaBADisG3SzKk0OXz77t2AKLy9SyUoCgUvq6YF4Zb4+8tYvE7uEhxXy4/TNQohR6AvxTTvf4shzWnOPhsxUwUTUMIA2zf7XceUfIWEL3zTxzohreX7yvP8FaTx7Yvu/Om25qbI+Sd53rKQKQQavALTMStIY/IoQ4h+MEvKwwyWIVkYBImMFpACPi0ZYbl76sBpL7P/uKb+vvfcJlHz7WzPBsV7BQ1UyakNMeXY/xkzNtCEquEKiUvPoalKbHjGY+ub9BFIIxhWS2wypLimGe2x0bBecw8tj0ansglnxYFqdQUxZST6SmbleB8bWjjmJmteLoacdYt6aTHlg1PxQ1tKXh9pHg2sYSryPlacnD6jLYe82ZPo8MNI6+YhQeovc/YqJZVLxDjG8bdnJlXTL//A5yasrn+gBdqgQgFN2vNXjmiLCcU9ff4lwdn9HuKxw8es/qrUyrlePTDiPnXgnShKC4qzvZuWBD4fPlj9J9dcXBs+dMe/hXPOLsC9/PP4RQwczj+W378QvPkZEb5vT9idHLEdDzme2bMja5pgN5fUX0E5dsFrfspXuwhbU3frvGpJKLpWTDfg3YCYgSH146ZFVxVFQBewatdOFosOOwk0VVELbAyMu06WmPojebdY4G+AbkSdKqGG4mICfG9C8rzKdW8YuPPmKTESMCSmo4sx6+bCyAhVGL64BJ1EZFzgfwDRaiXbOSK/zHvMSkOsKMdvv9aIY4T/XHPy5+c89mrDa/PHf/z//KEB6Fgvxc8PLRMo+BgoTk/+j0QK1S4pH/vh0i9Qpp3vNfXiD4SrWN5WFM2PZPLDa8fjBnNx5y8GnM626evzwjjz+lOLaOzCftfFrx+dMPlDny5gZ98AmN3yQP5KecvSoI0qM7w6vOfspwbvrjeY3wBrd2wFvtUxTUpJCyWC47IfHcJbwPVpOHw+SX/h//mL5DtjOP5Mc+er6h1ZLyo8P8Lidrf5cXyCRcv3iC8Z++TB5w/7JCi5+hNi919n5RqVGw4mJb4UWQWPI0UeDlC7j3nqaiQfaA+f8rN90rWu5F3+oL4sGa09hz+/DOKRxWMKsT5lONqjYwCLgwHncRr+OiHmgevPLubhs2xp2pqJFOofkD1/b+hSBcQHyNrj7CJ8WtF3JWkmUet1igUiQlFcoSQ39Wjy5p2R+LKSPf6CvaPSQ92kQ8WHJ1NMO9GpO4XtMsNTReYvPdjtLnGFWcIEsZ4jIFkK2beMXEd69TS14LuQPDanJI2ibRKjFyNdxW9LSnTCjnA9Ge7kKxEtCb3X9MR7eNdhH+KXi9R4Yb15ABTKOoSJs8uCeoIr46RyzNU2aImnuKnmmASftYjlgFZgdp3FNMRMcwI/ilF/O8Z60QqNIf+JT7usjC/R28KvJwT4+foozVx5OgOCkavI1VIxCcCW71Ahg0j8ynT+QnrseLltOft2UOmpeNP/vAz4ugBMCGWY9RKwFgRnz1jfP4RZbIUoaKMAeMl4+UY994NKbXUFysud0+IU8WuOEMaR6wiq8MF8t1T1HpEVTcw70hSoF5UbKLArzyTL1aknSNEJaleXrOq2zxRjUTPA5WBaXXMaiPphOXdByt2XibMRmJPJsSuo7tSfFY3TK8X6JvE+vNjridTqlHifzReousZcTJG//Cc8Sdj5NtDutmScHGJWd5QTF7gUs+ya/jp//snHP6jmp0/rPiJgQ/nLe+vE/WDI0LjiG2HaAPsaNKBQqtzjkrJfqXh9CGpUcQ28WTPQ9Mg1yuYK+qDFeXzt4jZc4zqGcc16//2EvXkGvODU0I5gbqhrK/4/r/7gMWyQaSPqD+LRC3xpbxHEwFrd+jMmvlow4dvRvg4YsGEReGJCLZJuKEI2JmF7gDje8Z9T8ND+t2e9ZOGeP4O1SsqW/LA9GhZE/yIiz7RlQVyvAeppPAdBzZxWRboVHBixzRA6jr2Pk+sy4Iw1FspdQQd6fckk65nsjZ8+NcBHt+QJj1yDK86Qb/QlH87od//jFIsedQEZCNYu5qrl4+RCtxex/o/fc2pyuzE73HNa7VLowxvy579AipR8V7zhIsfRTaV5MW/bbmqOowOvPibPb54NqYrWv7s0zM2P9xhc7DL8uIT2i+eY5tD7GjE91537GwafvGDN7z9/D3E5Q7P3zujLCMqavz1K8KFQ117Dv+sxMuaC1WzmtRMl+fsdGu6yQUjraj2C8TEUVeXeJPYv94jjCXpMPHps59wdHHAzuU+7fwAZw+4SPusPljBbgmz4teOkX4jUEopgVLZB2dSFDya1vQusOg9axsGGVL61jH614vIv4sU5z7ItS3iv86M+rq8DvjKul+X5n0T0PN1A/Ovn8N9md59uWBKWT5grb0dYBudfQDee3jCdDZlNBqxu7dPVdV5thrBum25WCz54vUb5ssFbdvStR22zxK/EH93KqDttcrgjkDKhNAKrQ2FLojCsOkdV6uGm5tr3FD0f/bZ57x69ZqiMNkIfChKbu9XGgxwRZa4hRhuZ76Hu3QLLmyLmbt/DwX3vc+2pchtfZnufktkZhbkmiT+qmL8q2c/pKV54sA0al0iFQXTyRRTFSijsrn6AFr46InWQwQtxK2BtVQaMQBOIXkSgSAlQem7Y0wJqTLbxPU9Rptb43itTGYqlVlGIxEIJQdGhLgFOVKMGbSzEWctytnbM5VC4FLEDilVW8BYIG79aFKKeduJgYmWi8aYBimZzEmShc4eUyEKbG9Zr9eM6zGBraH4v78lxYS1llKp4RptpT4BxJ3Rd7plksgshdy2Ze76i21vI0SWyGUvsDgU03kG8K6YlQO7RNyyxmDoX7QeANGU951SBoIG8GTTNOzv7KClwgmPGiRP2/axZfhsvZyU0V9hcd42WTPIK2OWaBZFhm/cwNqUUmJMQdf3+BCyp5aUaCkZlQWkQG/7W8Pib1vucBpBUZT88AffZ3cyoTAF62ZDVVaMx2O+9+H3+PzlK07Pzpg3c54+f4+D/X3str9z2RRdmwzsd94Nnm+K6WjM2dt3XJxf0DvH4ckxe4cH2LbN7EIpMxNwuEvW9vS9xVpHVZWDZ98AmHqHcx4h9XDk8VZendu3RxUFqtB89umnyPkie3n9RzAx8PX33HdeEgMNSeCBILhlnMYB4EthMMBHDDT5wbRZSXwKbJ3S4tAnx5jbUe6jRTaHFoJ0i0ABKdwdwh1+dLdIQRg8ySWZoSjk0B/HdBvKwPbwB1OvOLCdtqb92x2I3IFy70/DlwcenVQUUlIM7NgYs4R6a/AvRRr28fezPNyX7B+VfNo9548OR/zxoWH3n2747LTli9OOH2wEi8kO10wZc04r5yS9RLwfcRoaLQg3OyTlES8W3JxrtI6M6p6bdocbEelFT7tvmVnHyVnP+txDGPPA73NeLBFlw7q+RPQOsdKETyvSU4MIEf2x44ug2LGa59rw8bPXNNUYJ4+JVwU3qqI7mXFydQLTjocfeHZ/UbGTPDvvLXn0UrOYweXvd9ibR+w0jvfEZ6Q9zZrI36S/pdiv2B8rnvuPefvBc4KoWE9rjp8n9JNIewj/+O1zfGfZHF7zclXy5bVBfd4w/t7f8uGu4Mn/aodjdpjWE3bf/2dMy0OMMki54qXuuG5XfP7JF/zLN3Nezzd08wXmuiYtMyu3YoXQguYI9tYdWMlKlLimIDUF4mbMJi7ph6RdyH7Z08uU0wVjZNR19MbgpeYyTVFERIgUZwXCZ1P+3XaMCAtS2rB8uYdxPSPmlKuCEGGT8XW0blAqy/08hhAU4iwhXEIYQfzFFTaVeI4pnyZGXcf4dE2oT/C6Ze0b/uKv39AvFMaP+K/+z3+BMgptErGeo32i6AX1/x2sSnQqUff/DUEnXJGQUWJcoLCWVV0TtCeqnuAm4EqEHRFlSyhb3KghvB1ROKhDxL9LOJ1ZNaGD0iVufGD50RUuaXxfU8dFloO7S/pMOWAnFLSlJEVPWc7Zdw6fai45YnTkUTKyOC0o2hsmVcfDDwzv3gl2teI/fSqYrCGULX9z+BlF66mTZ/3kmiY8RrQK154T61dQGeJzz36U+MbQV4q59NBDfQ6yWxJiiy3OSFcnjObwNJyi4gcIucPFk/epJlfs4ChbhUwHIAs6OcHsTygqeBIuGJtEGpXcjDv2zgpGy45a/gS1WpJsII4v8NMORIB3YH1JmJTUTUcKLnvviRo3KgmmJr27Qc8D0gRE/4DUtETxGqKh7G4o1YbmvSmXf2k5/7hnVbScXPSMvYeQGJeBuoi8uZyxCYkoLMuHgqpTHL/VXL53SDArRLkEC6loEOWG/eYBa73hulhCs88oOMYsgQ1tB/ZGs6i+ZKwExcag+ylysyHYKzgRxFHAF0suZyvqOGJv8x6mu2BdJa5rzb7RmN5Sv1kgDhPCJGRhicsC0xj21C7NJIAUjONb0lGZWU7lD9D6U3QXMR/tkg5mKA/i8gZzfIkoE+F5jZKXlEQeryLpwxblJc3fjtg73KB0B/0ZyF2iFvj2czhoidGj2sDq96boXnLwtoVih6iOafs96jOPMpbqQSK+XRAvPGZaoGpLKjzzTUGzNyHWkrJeUC7WVBLEwwL9YIEcKWR6RHV1zai9pCjP2AstdR/AvqKRJrPnXxXEjcJGQdxccbxUPLEH/OPpP2K01yPxLP7IUBSR6cjwT9//Pn9x+iWfX7xj7yNH8XiK+f0j/sxDXD4hdA6/t6YqdpEy8MP/bI9yV1FNBdJZ2uWSfrOhsoJiZxczqcD+IIcVKM9kIuCBJvy+JNoFxu9QuylmfY46GSMf7ZPslDgNxFkg6H2wPaJpOfzTF8S9EeF4gmg2OF3QqxqmLRPdMul7RmLKWnvWpqNyFaIMyNozfvsO50b08RkXekEoFnTlnOlNRZUilXYs+47gIuUmsUkGD6zLEs0NykXEacHBxmGD4iIYTvd6hBewyr6AIwsPOsHZQpBCReQBB+6MLnleJkVXX1GLnnGAcCTxoYTzGRVvsRY27/Z5/F7Bye4+rdzhkh1cKyjOJNP+jJ0uEtsNsX+MGx/w7vnn7F9VyH7M+Htjdq9fUeGQZx+yW1wTcPRuym63QdOyOq7YFZ8j24jtFeO3+1A8oI0t8ROJNA5bfMLxssKpip/uPyCdS3gXUN1TzNMGM/mSF/M9bnaXzGee9z96ny+OGq6enfJRWbHz0lPNe9bfP+HgVUu57rjSPfFzh7pIPP0HS+JyQVz37O8dE6jpxYh5fExnzwl2zj9c1Kyvjlky4rOjOe14jJqUvPrLn/BMTXmsJ8xVSxJjEn+P8r0tS0oIcStLGRWGB9MRiZa1DV8ttL4BxPlNwKdvAn++ydvpmxhNW4BpW5h9FwbUN4FSWxDjm2SAXz+2r+wn/4I0BlEUWQ6iFYUxFIVhZzahrmuKsqQej2GQQbVty81yyWazYTG/YblY0nUdfjAuBn6nGFLbJfuGZIZG7wNayExbRtBaz3LTYJ0lDNIya7/JoX973f8Dg3JikHZ8S1u+/+db2amAJAUxBEJKSG1uJV9hmLHfglgxZandLZaxbVvk9lVsASYxgB5bAkKKqMFjx1ubZTlKoKRCDTIkrdXAhhGZGTZ8P5FIISeryIGhFVM20haDwbuQkhSy1NQ5d5cemYCYKa9Z6iOHYnHgVCYGGRUkkVknWzaYUlnSdbu/GL6LTddvfsvu3ZScfudvvY4YdEpxSB/LxzJEwt8CPffkR2xr+a/2CUqpQTKZSFEOIJy89XYSDA5H4q6fSEPRfCcHu2O6mYFhGWKks/0tiJBItzLgGCNSpIH6LG7ZfNt7c+u3tNVaMRhRD8erVN6v30r/7vfZCZTObUZIQW972r6jt5Zfpgf9iskAKTB1TTEeUxYFXQzIoiAqyeVqzbvrG95eXLJYLKgmY0RRoKXMIImUA0ChEVqjtbplyySpsDHSOUfnPK33VM7Rdn0GUW6Nz/Oh2r6j73PYQBf84JuWwySC8zmEQsjhvBJVXd1KWrveIvoelGK+3uTfxd0V+PuDLH675TcHpvL9kyrLhyO5DWy9zZQc3mEpS+O2zzVDPy6EHBhSAxiUuNfWttsXtz5daavv36Kj6atHcv+XlNJdEuiw3hC4d9uGv/IqEFsQXNyBUNuPB/B0e1jb/jjdrYC45z1wP7EvbPsHKe7JPf8e7nQ0JG+YuwoRCw615r2jCZeLDS42eUSmMpjfSwjGQ5VoxiUhJToXiS4NfbJCi5oiOUzs2IwTwUnWfYmKFu0lqisgOpRJ1HVEhUDA08RAIRQpSLouoqVAJtjxhlUrGWOYlDXV6B22gC6tqffHSGNIhy3mSpH6EcIqJmFEbXr8nmV2XSGdxgaHihNK1TKadmxEhfOKrhFUsaZwkWq5oJrs47VBEuiqDpmgm9YcLitEoRETx95ol9JK3EHDyf6K/SPJeycn7KURta6p9vZxzYiu8TSbG96KDWu34frtGZ99seLdPCfAVcsRqldQjRDegdwCqwrQeAmx14igqK2AIstwALJrWaC2kKTESYEJAa8EwShkm9t5EhHZS0xMqBQRKaAKhxCWos0ej9ZosAVeByizdBsREHTIHkRSgEL0CanIxfa6J3pNAN49aWmcZtJUHOwEnPVsLjvOuw68oY4lb94uQQaMctSyxROxKbJrE15Fep0oVCAgcUlhYpay6gheNXQmsSkjpVgSYoEPFZXbkHTElQnmAUVAm45o4+0rQQaJC4rOa3on8AFs29CNWoxIlKHHEVDKMBqPaXVB8hElLRU9LiU0G+qkSEGz3ozQsUFEj45LmragHpdMDmtGStERcWqD6CXaRVJsKURApOwXKGODGEITinaCVIpuL6C9QaCROqCUBxXwuzHL5WJi1gaUtURTsXhUooOicAE5zsxeVIEeKRiVUHpG0qILTXb8jIgoSSHg4xrpErI3WfJX5HZH7EmNgajBBnwhiNpgSLjC44ueIkZkcEgVaScFWm/QqcPHKQqBEg6poCsk81rg2LCOLcFZfFBotQ1FAocBamzRM+qgbgGbMFZjfIkIEVN5dBVJfR5DGCGIoUASUSpSSU9KAt9FbFrgYkUKEimzrYH3JXJlQThE1SJF1gtGq4gqkXQAGaGUSBGR0RNlzlmVzpFC9hUW0uNllpgZGUCuiLomlDUiSITVFMsxaRoRKSJkQKkWoSTC1KTokD4w7iOjnY7UKPy7knEJqk445RBUiBSRYU2MCukF5crSPja4WuFvLKIXSBROaLRzaJEgSFJvwEpUHKFlIqhAXxUkmTvvIGcku4HeQ6lIE4hjgesc13bNVb9AVg2xgegFmhZpPEJoRCuJMYeuICyoCUJX1MU+qt6QTIeSiaQsvQm8xPPxYsVnb654+NE5MtToIHk8MQQ5IxQTougwpkSXEfneLHOFU6IOikXfc7W2lE2LKj1qEpDtgtAmvAW1O6HxPY3rsPUFo75j1LSEN0uqOlKNBb1t8E3CL6EorohtQ2o36LHGryRuM6bUK3op6VghV3MW3TUiRLxJeKGIscwqhgQqQJIOFTzGQzcyUHl03cIG8FlaX8aIj4ngoRKWpAOhUEhcHhu0WUKLEMQi0guZ5X+6pUiaSB5HkjpCErRJYJTCyUSDBZ0TAD2KhEAmgQmSiMksfqvYrWp2xhUYz9zWdEEyO4vsjRJKOsJ4RYq74AxCTcAmZAiMdxuqrkW5yOKqZjOpEVIx3SjGKUDpWY7HtL5BKourxjjhEMGgxQQdO8oYSRMFoiAmw3ISqfqIdgmbdrBijsYyXjtuRg0WR2geo4oeMwmoThOlxBaS9WRCtZOIKuKUIvoAncs2C0KRZIlVJY2SbETgpunxwiKSpZ13OAOpKBldzYgTxbJsac2aoBOiSvSpRYaEdvza5TeU72X2fUCQpMQYzZ8+PeHfnV7xZtl+ZWD8m8jtfnk/3/zdbwOTvv65vFf0AnfeLd/hOL5p23fgFHxTCRJiHGb1cwGopaAwhslsysnREbPZjKPj47wtBFEJFssV682Gj16+4ur8gma9ZrPeEIK7HUXf+vDou9v0dYP134Ul+xiRvQQWKxZKMSorXkTBTWs5u1kNxU5ef3vfftWyBf6+8TNxV7Xcv1TfxtT7lfsRXy1yvst699dPA7oURZa7RCTKlPTO0/twey7Zy0lSmiKbrZOT/qSUWTKVEkJKiiIPigTZNF/JbIaeS+ksR2tU9tlRQlINRt5SSOqiRCpFEgkbPGVZIqWi7Rp83xNj9oJytzI8jxC5eE/3UvkyIJIG5lhAIJEyoXXxFQbRtvozg1l0ArRRaC1RCkpZUpUVVVll5k8IuCF98rdhT/66JTOZAtb7bOg9yOhyYR3prc9MHK0pBhNzP0gOBVvQZ5DgCUHw/tYsWsgM5qWhor4FebbMyfsXZFjkkPRYDEyOQMI7n8HHuqQoS9q+Y9NscN5lj4UYUKbMUkCXwdutqXQG/rKPkthW9SHeAgyRDERuzbq3YFihBx8qskwuhYAEyip73IXg+fLdKTfLFZu2uwXbfv3zkPAx8nbVcuNy+10tF/RNQ9M0fP7yS9r1GtdmNsJf/vSnmKri8PiEsizRxtyxHIHK6AyMDIyydrPGDt/li5ckAV3b3ErREPIOiIhxYF3egSdpYMndumTfO/aiuGvLfpsqGSMieURMaClxt5Sd36wd/gdfBjPwrYw2xYjtHdZ7nPcURqPUlm2mbq3pw8DoRGSmyBaE3bJ3jdgm0WaZpIsZuCJtzcchIW8ZVbANABi2v30WybdEpm2vdrdIMYBEXzmfPGAUQ4JiFJlR5WMcZKB5tTgkTEa20kUBg+o1Df/Z9nEhpizFSHng+pV+7e+wvHs35fXrHaDHy4A+KvixecFb9ZYoGv72SQS9ArHiZVESxsBe5Av2UNcWdd6QDuewnpKuT3gkd9G0xGaB/JMrlm3NzfkeT842qDhmIU4Yic9ROy3ySQefF/SNYbmo+QO9R1dYrLlmfOmoR2NOHh7wbz4dEVVNuT/jD8Oct77hr/Qb3v8nf0ZRdlh+zqMvJ9zc7PLxXz7h4eGI/mDN8qjn/eaAk03Fs5/soosKpgn3eMTmBtxmyvHbD1ikjt4ssa7BvDinGEl2W8XP7Iq1rRidvo+e9FS1YbPzA/6LD0/Y2x2xHpfkqARFGQTn7oK3mwVvP3rF4qNXLC6u+MX8FcWqQEZJN+vgag8dC/aeCkaxhjTh+tEIt7hAtGtGb1uuxT5W1pTqDPDoFHgqVlwBzZZpqSwJz54QtMbgpeSw63CTgjgqOF5ecakT60JQ9zVT76lD4G11wejAU9Zw8Mk1y9ER1/UeXApS1cC0hbJC6CWShvpNRMaAwTOSHcUIVCW4vKxRqkGoDf+XpsfoB0yLCd8fr2jerrn4fMXNfsIVDrPaELsdZtWG/fEl1fUJVyGyTJ4zcUAVFtThjPYHB9BExEXPjk34YkI33ePhsmfhCtq2xv3wY1JYwXIJiwrlJdIDurlt03ZkSYNstlpV9LJnWS9R5nukPpHaOb3uKKLguK+4ij161rH3tGHunhJ9BC4JgKRlmr5kdvk+Vky5Zod+f4lMG1Y/P6UtCvrZDvHDA9K4ptSCR80lZ17QrwXVp5LJD1ekWtHXI2phUV0inCuCNqSZJDxZ8Gh5QmlqeN5S+AIhR/idXc7VGm8de693iJcLglwz3a8Y/xxUV7P8432mtqVIkfpRwsoxQRQYCWnWIHvPo/U+qWhxez0Xh3BQTBi3GhGvES4XUX7PUiw7xHUgKM/qg2P6kzGH/Vu6+gqrApP1Hmq8Iox7Xk5POGwTe53CpudIuyH1C0bXDf4xLB9U7PpzLsoNy7Sh+VcVnRU0tqcoOryfsQ5H4D5HhoAhEK/esNPvcNgecZXeYGaJ4lhyublh3Hked5KXgNWKTVFyVPXgFc6W+M0CdMLYMfbwCj/axZW/R/n6J6i2oS41zxB439Pbc9J+TT22FLGhmObJzlSO6HyDXFmKyw49DYRphztYMW0dIs5IxTFi9SnRX+MnN8SLkrgak8IE8+VniKmAxweoEag+oa9CVhAEQdEFql2B7yPxxuJmNaEu8U88xc0M7TsK4fDnDxFrMJfnNEcFdk+z+nFi9tMVplkT925QlUA4cF9ERKgRpUbv12i7BCLu+ZTZlx1mAeHRh9jLBWGxQZVLvNkjmoi7+Qn/7fznfLK8JO4FLtwe2mpecPmVd0swgVhE5FRyOZkSZvu81opWWLq4JnWOS7/kptvw+v/251z8mxs2n8zZ6V/R8DPEeId/8r+coM0fIMV7TF3L7mxBNen4m2nF4bpgr1HAitef9py/clRxzurxgs1RYPTxf8fbVxNuzvf5Jy/e5+z6E97OP2H9h5o9LZh5wRd//ZCj0S4n0wnnyy9Y24oujHh+dIX3Kxq/pvnPSvyr94h/+4LjP/6URs5Z+Dm7LaSLbClyNl6R3B5y/QjKd+gN1HPFsgIle0r7iuXO+4xqw0HR8jq0rNYTzPyQ9+QpPlkWKXGYTrFJs6T8yrjgSmt8HVB7G8qLkhgd/eRL7OoZrixZPQD4krSJnJ6OEbMKUVnQZ5TXJclXnANcQxUcM1a8TCVWBarqhpMw5jh5iukpl/MjNouE+uKM8j9Zow49VmrUpxuq6wkP4nNi9ylBXnKirwg7ieWq5Keftcyf1IwLzcOLK/afNhR7kk/HkrdeUpgSnj3isj4Df8OPr3/M+NGXjKcbgvx93vnAMnRoPmd/pNBU/Oz0A+zZhGLjaEJPzSWIjr+tFszkPu/ZmsMvF6xOKlYvwHX7nL+XkFqg5R5xekqyc17Xe0xmU4yMvFZXnMsLbljjT79Ah4QOiY/P1ox/PGLn2Ygf/tfv8Sq95rV5C88Kmj3P2fSan551zNoN+9z82jHSbwZKxUQgIqRi0Xq+mLcUWtHGgFHbIhzgq0Xlt8ni7trOr2dV3U+1+zprarvEGL8ipbsv1fs66HSfBfWN62y3L+Wd9Gsw6I6DobMQmeVQlgVHh/uM6prZbEZZFmht0GWF7Tucc3z28kvmiyzHW2/WOOcIPkemBz+kfZG+YqL7qySDv2vAVAh5sK+UBCXxyfNvf/Zz1k3HYtXck/p9t/PKzey7gUR/X9fqV92Pb1s/pTzLLxNIndkpIUVGVUlhDEYq1LAO5HW2zS+3SQbj6e25ZKaPFAItZE4VY1tXZ6bApKqH/WcwKmSXdKy1ZLethAtZWqqEJKbs05WGZKsts21rOp4ZOXfAF+pO9lqYnGQohCAMUkshyH5X2+sixDaoDpBZrqYUse/xPnt01VrjQ6B3/lfeg/vP7W97X73PrBAJ2EE+KYWgLMwv7SfGSFJ6SLbTeQZrS/bYgk6w/cNd/8OWaDEU4wMg5rfyx8HHyshc/G8Rf6EzBBBTlvD1ztG2K5x3mY1Fwg7MqewnFW6L/q2cLMaEVrld+OBzqp3YAvVDO0lpADQzJCqEIKSI8z2mKNBKUxU1Qgj64Fms19ysVrSdJXxHOltK0DYtf/Ev/+Vt/x1CGAz3I73tSSFLCYUQiJjwbcfF69e3iZr397Q1aCcNDJ1hO1smGgNoMvTcXzuWe++Wr5J17q91+69g+7wNcY+Yk6DQGXGMUiLupV3+Li15njExmcw4OTrk+XvPEMHhbc9itWKxWNJ2PU3X0XbdAArePcvIbThAZmNm2V+ijyn3ZSLePhdbuWq8BzDJ2+9vCRbp9plKA0tJCpFTQoW8lb8nUg5z2G57uF8SQbrHbGQArpQy2NDjvBsGOumW+aUGcDbFIblv+/nAjkpC3IYF5IMLpL+jjK8bV5kdERLjvQWf7U3559MR/0WI9DOPPfHEVwfsJMmeSJTdnBvjubhOnNxc07k9Nu4Dvnf5GZvkuSqvORVLpsEziz1XZwLnHFVzQ0FEyw2oN5yKQ+KmRH5WsNO8ZGxamh1B1ewifc3MPuILcUbsDWFe0j8PLGeJn+1pJl98n43uqE9a0scjimTYqx9z8ewx4gPDP64dzWcNfpGYfnTMp2NDOtaYuuTp6Svq1lEvn1A+EvgnivCi52T5Je31mn/1peeJrahHY87rR/yjPymoDipsvc8HZkQpC5ZSM9Ejeit4d9UzX/0bFhdXfP7nLW52TRQ96TIRmh4bI5gDnDVULvI90ZNCR4qSeGrYpB6rPOFmhat7VKmY9M/YVEuSXkAAYcbEUvH6wRlpoaAb2mp/QIol1wgEa4xokQb8UrNpCuwjQeo0hTe4hzPi1Rqx6Oi6EeOLhqIMnD7TjNWKndTy5mKM6iwqenobSRNHGiVWOwa1mmDWNaXo6IPEtpq93uYxhAC3jOzvRfZ2Hf+7n39C9wba1xLrHxKrNXFvRXFzQSp7NlViUWzAeQ68Y/6go/cO1yZ2Xy0JSWGR9MniwwprA1/ECl1a9sZz5l8eZL9Ob7EHQBdJN4Gy9KRU4f0UIy9JI4vf8TjjiI2Bm3147xxVQtknCAUJwXkJjXsMWFb+kv3zG1IfaW1HxTFeJaxe8E54QnJgNUW7wSf4nKfYpyXTpyVXBRTFLrJQuHrNc3+ImZT4PUMhrpHBk2Yz7MENYFB8yLKqoG45dhecjSA6waPrRPIbZLCUF2sOVQYExAMoUkA0ktHPd1DLgqQEVaOQKpBw+PUaaXqE6nHFio3yICSzNw9JrSLqio4ltqkoNyXhyS4qvUWGOSIp7G6LVw0kRZ2uGJ8tYN7DQwWzEpjgN4nYS56WC/RqBIsDVOewh9A9rin9hxRnn7B7dcGxl/TXhvp6BxkdQvnc2wuYTJcU9YJzHdkYRTKap41FhgZHjy0LbAvNa0HXjInC0ZeWZOuh529xHfRe0ibDebfDzrTkaBLoLo5I4wAHX1K8OcBKw7Iw7L8sMhNMG8RDjxIGszwgqTWhkYR3BZIOZTrk4RlCg3Y16mWFCJJUC9LxCnlToG4kuhvjpwq/m3DFgtVMI2tNOVHU78aQoDuE8kYjlYWTDTtqwtXS8VfzOf/wHzxgupuI3YJ2KsGBmde4ozWMDebmEdPLG+IC+uUuVo0R00ToHPphiyQRmxImHWFsWR+0jC+P0R4ezL9ElrsQJPbfvaSSC2Rt0YclnF/Sdz2n59e8fdNxdiWwZ8ccuZbKWF4fPcYuJLSeOr0lGANREpcR0y1x55/z//rf/u8JsiEIx8YYXAr4GOg3nrByGBlZiUPikUHNLC//689x5hqrRwTdUAEGyZX7OSOZqFSi37GE60RcxBz4cANBg5tPsMoS9085f+fY9DekKIifzFibgFeOwixYqiWbBCJF6rRiL8L1RmBHHj+V7P1rh+3f0coN5c9birJnUiT0wiB9gahLmr2K2ln2zBvEyLKJkSsH1SIRKsn6yOC7UzarEudOUHKBjhFR3nBxEkhWEW40yR4QVE9rbhD2gHHwHIQlq2NoRaRbBAhQFbA/EyzdHO1h59RzXQiSExSsWCEInYH1AYgOIb4+UhSMxBQhLa1+x80flRw92uWoesz/rBO4GAl/8gA7WtOuElf/ZsRHztKxYaf/kpNml1gd8tkjeH+yoKo69tRHPLDPEAvJR5t37FwKlDM85YY+HRHkCH9QMVUjdOyQH7ymva5ob8ZcMCLGFiUEZqYpTmuqaDh+espIKUabxKi5gdQhY+R5846gloSi5KUosKsdhD3gj+oVN8GyxuPES+q2RPfHbOYtcXmFW645ON1jr6jxpebiR48p3pXoc82V6jHvztDtKT97dIlTPUXqMS8TSUjWkwLWv09sLbbtfu046TuDUrcznTH7LHTOc9NarjpL63N6XIziXh361QL+237/tn19/fevS+S+aTv3gY2vM4rusy++CYT6OmgVt9sfaPxCDIyrwSdDS4VUWd5SVRU7OzPKqqQeTDEj0HY9m/WKtm1ZLlYs7oFSt9O3bGv3X2/S/vXz/F1Y7gMIKYGQuehw3nM5X9BbTz+wQ/4+2TF/X9fou2znV7fpXD5tY9SNzuyD0hQUxmQadrorztQA5myLuGHDXymxt9KzDHhEUhqKNJl9cpTUt7uO956JEAIuZbaA854Y4mC8fS+ZD+4i0gcgIRMAs2xHyISW+lZFI+6ZSceYhsKRLElgKIDT4PMiAGT+TGZwbstM2CYybmPc/z7uy7d9L4Rwy6DYgstSZvnh1pQ8qyq3Pl458ZB7/c4WfduCdrcAyvZ6c48tNVyJrxTdZGPDRBrAvAEAE5ntJIJAaZMlfCHQ9f1tWEIYTM1zTH283Z9kkCvFyBDJmNcTDECOuD2nlBIuhuH+5L/HGAlpm/CX/75ti9Z7rMtMGikyt+W7PK8hBObX19/42W1q5HZbA/BvnbuFh27v8hbtvHeN82Ud+u3bq/yVu317nOne93+p6dwCT+kWYLwPN8nBHy3DHkOy4bcdz3+A5bd7FgTOebre0vQ9Y60wRcHubEZhCqy1rJuWtutwweNDxIfcPrYy6+2+tRruIdwChYkEAxB623/dGxtsL99t+03xK75/d7F/2x4p95CRLYB/791+74cByM99X7wDsYfnQQ77V8PzHhGDNBBSkneTUcNeI/ef4b/jfRYghEfIHql61l3B66ueiz2NlZ5aRDYIhDNIq4kss5Smici+RwSIsURahVGOUnekkcD1ka6JyHWNVsDYo4ZXQC8SbV+RlKEoBLqpgZxE6StJ8AXYit4vCbEkxpI6NQjVcFUorAg5+joZZJsZpr2pkBODMYKR8vRKIV2i2GjsfkuoPbJQNDZH042kwLoJoVbUDyO7taIpaq77XQ6nE0bViHa6z/HDmvF+ySZOiOuSxgeW6YL5uqZrE++Wa5aLN8yvrnn5ukXUNwjlMa5GuJBTnKoJIgoEkSJBkIEQwVlJUgFEJHWRaBJCKVQtkJUF2UFTUZhIMoJegQFUTLgqUviECBmoNClhUsJJlQH6mJmlMWiSN9zvjWQsSc7icXilSARkCDmoRHqMCDibI9GFqDA6YEgYGUkeQhJ4CXWMRARBCEqhEd7Ttys+urnBLzRsSookEAooAdkThKdN4JAUQlCqiFI9IUoiNUVjcQqskfRlJApPiD0dJZVwFLJDtlmihVAIhgmQkM8hSEE0ZQ4/SQIZJCpGRIRIgXE9MsRBRq1AJPoyEKPMz1qTEL3N7CHA1hAAEQCdkNFTpp5kA15J+loym0mmE4UWCqlBSUHRZ4a5rkviSOE6ieg1mBlU2WNQlIo0dqTSQgInswed6FSugkRCriKVUcSgCUkgdZ6A16tAFImkwawd3TgQVMTbSOESSkZkM6R5OU2jEhpFigIpI15DX+Rrk4IkxQImY4RpEaondiB6iwo+R74HQUoSPwIfNBHDeNmQrCBJg1ABigBVJDQlwWn8WhC7Anvp6C4slC6/z4OgIqHxSOlvWakJqL3CqkhbenxZEp2GjUaGRDCRViUyZJnHG10SuGGs2SRLryWxlsSVR+BR9CQ9JqZIbHtCK4nDpClGQ5TIXhKShFaRNhqVNGKaiLVCWkmMCh8Fps/Pmu9AJIP0GrEsCWNJxEHsCCoSZULFYUwsIVQQCwlRIoJAyxEpWW76NZ101AoSnuR66FUGIMrs5eb2ppQpIftEaAPsjkhSIrqeFB1RBpLUxFrhRxGnAy5FpAfjXU6S8wnZ9sjxBlGAHU8wG4gN3HhLs0m4jaQIgqJMSAMNBSlKVBToGIl6mKGJEtVb6DyvNksK6xEpcTXbRYYeEQLel6AdSYNnH1FGUuWYn7bEaAlCsC4dKmlkVIjVHFskKCPeeuRGogbgXTc59W9DhSw9JvWs+jkx9FRINrFGxg6kAxVweKz3VGEM2kHR0+sCLxMxSbhJJOmI5Yq+8ygfkU7inUQmhcAgk0bEHnCUSdCnLJgrIlgEUUnKdYvsJaKfIIqCpD2x7miURuj8bEtv0ClQRnCD1K6ICqFdnoC1EhUiKkiEH6HKIfZmHZF50I1SERkFIoLxJWgLeESM+VijAOHQ0mFkIEXBVeN4tW7ZsXMeyjHTUhMOajqlqKQkTadciQUrEUkmQjVDmBqhVggzQpWCqZxTXhjwhuWBYV3m986oWSLcFKcr5DRQRoGJub+KRuJ7iV3BqLCYoschsE4jgsEUllkB4xBAdeg+IaxCaMNCJlrp2NQGLRSFN4x9h9WBKAI0liLMkHJE38wJziFSYOR9ZqIrA2lKIUuMURSjzD6P1uP3S8pUILymFpEoNVGVnNRjhChI6tdDTr8RU2q7xBBo+h4bHEImOuuG2c+vAivfBAz9quVXyei+6e9wZ1y+3X4YBsXb4nZbcG7X1Vrfshm+wuAaRslxSNkK92RERiu01hRlwc7uDtPplOPjY+q6RikNUtJby6ZpePvulLdvz1it1izn85z7uT0P7gbEqK/7V93VOP9DXmJIdMFCH2+TzX4XfbK+yxIHnxapchsqtGJclsxGY6bVCClFZiKQZ/ulFNnnZmAWxLD1KBrYIEMBH2PAp4Qn3IFCwHg0RmtF8C57RA2SuBBzW1ZIvPe4kKU6VmTjaKOy4XocjMq3SXRKZ7kUwz0SCtTwuR7u2app8HHgGkh9+8xEbQbwAqJ3DMYvSKlBaVAKN8iiUow0XZf9gay7BXR+3fLbsqWs67He4WIutJWUKCmIKQ4Soq3HUuZ2dNYOz60ixoEhqdQA3GRz8/v3HO76ulv/L7YeYiGb2w+sqXDvoQ8h71+IrG3XRYnx2a/raj7Hes/DkxM2TZdZoUoixF0XLkS+zFEM7QmB0GaQjSacdxCypCoQ6V1OlTSquAXIQNAPoLGNbZbvpUREZhAvpVu84Nct27ZwK8e9B+LcGccPf9oaVAuR2929a/hLd/jX3PO7NvEt740BpPvlDvcOPPk2ePn2H1/Bxf7DMVd/6/2mxMtXr/jyzRv++qOPefDgAYf7+3zw3hN++OGHjEc1eE+/XmH7lnXbcrXYsGlaVssFUipcCFzMF4zKOvsllgXX19c0bYcN2TheKgVDSq8Q8t7u072fDEjfPTNDGICUMEiDUxREZJbVkV2A5IA+3eZeDvdTDt5gfd+TYkRLSWHUAAoNYQ/bMYMaQNx7398yVLceW8MR/53vcbnugA4M+DWEn87xf9Pwr/83R3RNx/tniZ+/uKS5PsSe7rEJS3TnKJNnsdvimo6wWvBllShlYKIcux8oVnPF6cuCF/MDmkeeyw8bjLOs/IQ39pD0OYwPlux/eEX4F9+naSSLznL2viDKmk27x+5ZRxkMlZhRfnLNYnfJF/2CZQ0m1oxe71NMzmhGgp/vOv7Z+kvSleLzs4K90R7VOFD4NXs7V0jpmV5Z3l69h5zC0dHHvPqrH6PHJb//zyI/ePZD1GjCh9MTfr85oBCOs9kXBKfwK4X+RPEv/vxTXl+/4gv1L0lv9pG9oqzW1N0uoqqo3p/Au45kPfbhDHO+gnWAy4ApO2RtuZgkugaCBRDs2cQ4SM6YEFuLKCzx2ZdAQngJDexNrjE6cnFaUvUgRGRzYHkQr5i5DJooDzFK3hQFSVpGqePRW3gXCxaipD5dDtJqwY6Y0GvPRnr0W2jRtEBROKZTS1V5QhBYu0tqap7wBbpekmZLLq4jbpoQ+5F6DTdSc1NoHh2WnC42XL69ROwKtNQUpea469AbjdiUnFbQuYTbgOgPCKrFFwl9A9rPEG6HKn2eJykELE4EqheYZW6rzsFmk9D6mlv3iDnZW4ee1IOdGNJhwvoeZSPl24Jp19EruBnBzumUJBxN2efv64CYWEy6wPSR0RtYVhBKRRIVr55cYvrIzheRnUoipKVPbzi1+9gJqGen/Gin4P1ynxfhCbqeIy3s/cLy7sMFYrrmRFrOZhW+32HSPWEaI5olmI+pd1r6OnIhFGXvMW2AzYj4rEDIknDlUEWNjiXhyxqrIKkOwZeEAwdGUr6WfPE0cjXWaFexv1ZMG8HejaKrBW4sef2h4+BlSb1J7Kol/eMKaxUPfvE5yRdEM4Yf/5BRf4Fob1hdr3ATsDPBzGgmVSIox+bJio1QeFsz+nNHfGSJj5YIWVD6Fjlvad+umH8mefPmAbabcHb5c94tPia81xFuKsK85JEMbKJm3ivMTsvEBXZsBGrWO56rIwc40lUFZzMOeU0jAisD+01DpMCLgksK0FAZS1e+xE13Eft7CPEa3Y6oLnZoR9eIvmf6aU8rJgidkPQEf5SBoOaG9LpASkUxFqi+wo3GtNUh48t3bMqG84cLHr92iMWU7vVj4n6erJU3I9ZTRXIt+nJF2TXE2mDHI8R0iSwi0mi6I4OcJ/QnivD0mOgC0SWWqxY1c1RHI8pfSMRGEimo3zbEmWP5h4kwr1BdpFaXhPGY5CoKJ+kvOqLoIVh8UeBNRewkvjsH19PtjBHn18jGoY4kvTDYcsy8Puagqunjii+nP8V9bhh3lqPdczb7ExaiJv1tC1QIoJQZePZSIsqKYt5jouX6fcnjCxi3BW8fPKJevkavOzabB1BfQdXBZgRpTmDD1QPDwaVjuk54UWFHjqA7vtcI5sKwTIpZcLhk8OTx2TQExsmzfNwxmifqS7geWfZF5BhF/2LGxHjGyfHxFxXKKcpeU3R7bA5XXB33FNIh5wp5XrDQ4GqDqw2vJxt0pzBdQbufSGtPmreMzpZsvGRux3x/qSlSyySumEpJ10v8peS4V5hkkcx5Yyf0ZY87aODsCLSAaUC3G0Y+MFtXvC3XaKEJ7NDFa0KE2hVM+g7bTXi3ekT9osHZxHytqbhGKk9bVegORrLgcCI5c+BcwHQdSkwoRAJxTaqvqTE83uzw8//qHX8xes0/f7Lhv3zwn/P94we8V0559PwA87iGH+zxj1bXbOIep/UBcvUerAI/OP1L+uIEq6HaPWXtj5B7I37/R56/uLhmtVzwezcvmVyvQExJs6cUnUf0Jc3qKeK9TygfLjn4N3scH11gdpf8IgXeKknyJSN2EH6NihvaB4nynabsC7rZj7hULVdYdp8Ijpuenb5luZkgjwO7tWX8ekYj92gmFWH9V1RiTDnZZXL8htVS0qxKnvwkYeoOPQ48q85YlJ6m3OOPij+kWXX0fcv735N8dGj4fKr4n/74hpe+4FO382vHSb8VKAXkmfcQWTYdedwmb82BhfjlwfI3GYZ/mzfU/eXb5HfftK37/kv397dlIQC3LAkh7hUTA1CkVQasJuMJ0+mYsiwZVTVaDzHqIReRMSVOzy7o2oa+79msN/R9j/du+H9moWghQH+3S/xdAKnfJYbU7bKd8CbXgTFFlOA21culr1V432Fzv2q5D2h8hWVxu4G/G/L3bRK+X7V+Som2txzsHPLkwQl/+gc/vAVsQkq5/VhLY3vOF2u6wdg+bgu1lG69gJTS2fMpRnyMeZYSIEWMuUEIgQ9hkCjlhDYhFVIKjFSDFDBhrae12UdqVGe5X4wR7zzGmAyK6GzeTSKzZ4abGVPMQEfKqXVCpDzTKMTtT9u2t+yo7D80JB4CYpD7EQN1WXBytE/vHBfzJXYAgL7L8ts+D23f0/QdG9vjgwMPwnZ3UjtgtV6x9fGaTmbD/XJ3DEoycJQZRveYIwPjaMsiSynLckXiLjlzW/SmiHU2pyuK7AUVBlla7+xgOh843N9DimxWv+m627Q8kdJgzpyL+jB44Tjn7gCABELdSee25xjSFpSCssj3MqSEcz4b4kuJEoJCZ4+x6MOWivIbXeuvSC2/xlb9tnv4Tb55XwWVvvkYvgsL9+vb+FXrftOxSTFgUlu21Les9x/7ch8s9NZy9vYt1xcXvHr5BX/+FyOKoqCuK8ZVRVWWjKZjDg8OefDsGU8fPuTTTz/ly1ev+euPP+XB8TH1ZMzTZ+9xdHSMs5am2XB1c0PTdrS2w4otY+qOAycGID5P/JjhXohhHDGsFwe2m8xxzEPAaGYwD2uFNCSdMjAaB0ZHjGHwxlI5AGB47pTYRjtnX7wtIzS/o7aprQNvTsAtD+zvOHcy6TpaZrRiSlFco3ZqzHTC2elbljKx+GDCk7qhsQWr/RHT3YfUK0997VhefQGVRZw0WD3BbUratcVUY+pxz7PdDVePdqkEvFh0tL3DFj2yfseH8gGTtmZ0dgD/0HEeHUu35ujQUbgC5gtexiVVv8t76QGLD6eMduCDGfzVF5pa1nyv3sV/8paWns2O58+nP0KXCvFizruVZdJKnneKlayRowJlZvyjR88odw3993/E+99PoCRhV9P2lmg96eY1/+Jv/5L5suVl7AnLc1JviY1keaNxnaVoC6AnjRJ2r8dfOEwXOfhiyXVpsUZgzkDagBaRAzGn8hEZs1Ev3tBFzZqE0Lk9WFugi56yCpjSIC5mpF7jHl6yXElUY0gnUzYXkrhJxDcNm92etOPQrxJWa9wwrvO+JgRF4AJEgRAjYMNKazZS0TiIpSdVlmJT4GoPJvD4StKuBfOuput2iLFCCYXc2UO6QNpE1gdLQrmL7Ke06ZQRBZWseRuW+D4x2pT8/o7k3Be8dgVnzzUsFelKAS2jINARbnZP8b4kuAllaqhZMU4rHB58YhQDvdi2dThB0ocRSzuGh2col9DLfL5OTOjkCQ/23+GEJSwuqDqPKRLFXk8zN+iQeOYWXMYpbpxIDyz6QqO1QI8FezcTrPBcTHuOa4ETiYvY8+jdIdFpLoisd+aUITFb7rFbSPoU6d9JPjx+zu9Njnnx/gm+HYOI6A8lta/w84QoPep8TWM9r+WUB5cbjLCsd+H88gEyGN5fJ1x6R/Q33Kzex1dnkFrMK0jHV/hpYDHz7L4WJJf44v1AWQkqJTl+eMqunDBZFZx90fLZeUHwke+9v4axQ+jI+JMr1OghaW9K+W+PoZzgajh71FC/nUEz5vPlp6RFiWhGVOIMpyO+UHj/gFJ1FM6jf64ZzyyT0rGUkyz7W1/D30TY2SDGLcxnvNgbcbg7Qp1foGzDahG4OnuU2UUSrssrCA7TepwsQXrCbiCWHQSFOSvoTQ9qg3jU094UJAG1T7hSQKygr+mPLjFtpG4EzUXHvJxwaT6A1z3SJJpZYj0FPReUZ5pfaEU0G4rxDT9EogqLP7jhQu2jusSojRyMFoj1Ev0XN9w8dYS6ZuLfI85fI0OL2XlJq3tSnRAPFJQjvB2zLt5jr3KUOhC1xweIfowqHpGajrRe0q8vOUuX+L2aP/nTJ6iDG3pdUPTP6WYRpdZUy89JhSZ5jflUsq4uscbidiL6qseEyOjhO5Yq141VsLiNxPWSVSro3xpEqpgcjNg/9NBZXp7W9CclZgQvul8wnwnauOH4/3HJ6ds1m9ZxJQrCecCLhji2FLFCR8mGEuU99QZwDwhpQVQdxRlcScPVRJH8F/SMcXpCWc4p2hLTV0yOT5lXkcYlZu8ctois9xR+cYxkhSwavjyeMllbjlpPe3mMFz1JBKw9YC7XbMya6HoUUBaCBtiklFUMb89JqUeERBUcvvb0VUBcz/EbQ3p5TFGd46Sin5Qku4LKIWvJzpsEzhNjordPSfsN4skC8UoiQomQE17HDqEMoqg5c/uo0FHHOee7CWMj1TpiH3lIgvKqwLRzUpmII7gyBamMuKqHtsDJnnXRINeK2sOOtSyMwSVF6Sy2vabwngcIyqmnCwUX812KYk2P59wtcSmSlMJVFVO/JkbJl3GK9A4pwRWOUd1TSuguC/6/l5/xr4vXzH6WGB8FJuWIR7zgyfdK5GHF24f7/KD0HE8Mxx/+CR/PLR+/fcf/8f/zE/7pE8Hj4ydw+Hv8mT5D7q6Q+4959WTOwjsaZzlfXtN6iTk44mQ5Q4WSLx+dMW42TCy0L6aEqzFFY3j47JRCG/poWFSP4UyjesVxu+bJ4ZrDwiPdPiYuWNuen8tjjuIeo6D42f5prmHciNGnT9CPI+Io8CaNYC2RtmT2pEbuBEQV4LPvU+2dw+6CxcdQhYKZFPxFY2k/hupnwMMJx1Ew8r9+EPVbg1Ip5ZlE5wP5VSbvFRx3OMC3gUlfZ1R9G1vm66DUdrldfygcBXeDy68v99kL2XfnblB+/3jquqYsS+q6ZjIb59lfXRCjvzVI7qzDOkfXdjTrFX3Xsdk0OGtv9/MVLyt+GXL5dUXM72KR803LFvjbgpTbdiEEt2bLpLvr813K3e9yZe6DUb+k1Enbde6zKb7DRm83+ctH8O2A6vBZSngfKcuKyWTC7s7slsknpUalxJrEfL2i6/sMSqU7WVdeLzOolBqkdzESBsZA1qpEnM+zs/eT5SIgtc7sK5nZaSRw1tIPfjFZcpoLwpAS5u7gGbRf96RoWXoTBklPltoMu9sCECL7E90xDiIMUpqtP00CjJJDwludJWtbQG1LV/n3smQ5Xkx5EL7l4gy5YrfPbGYtBRIwipEk7oUdbGVw9/qgNEiWIuQ0iHvtPnTQ3bUAAQAASURBVKVIilse0sACuS9Quwd0yQHIC4ORvFGKcjKBlL+Xnx9x/3RufxL3i+qBoZlElsltPxvOOQ7+X9sEta0hdYo5OUiIOx+97D9111f+Oibb1wGnb5JRfxsY9a137d5nf38y399wOwMu8VUnqd/Nvvq+JC3GSN919MB6vQZ5g1SKuq6ZTSbUdcWs2SEJRRKC/f0DlpuG5XpD23WsmwZTFCzXmwxKG8NsZwepJF3XsW47euszcBr88DxAShGRZH7uZAZluW1jud+552aV252468Pjvb/nts/t+lvJXmaSftVbUgyeeGLoA9i+ixhYU7ceVmJ7sb52zX7Law4olShUpIwRkwJCBDabyMYLWiF5GEAkRxItSXqUCEQRUV4TC4HcdyB30MFTL1sqIalFQYniVBlKAbMYaKzEBMd+chyGiI4F3heEWcqTAZuAdAlNQs0Ck1nN1BZMo6fZDVTjgmN1yFT2lK5i0o9Yboos3ZhaNqJiVCt2DhSiFlRrjRE1o50Rxbhkz4042Z9hporFSFC6htYF3swj8XpOcB0uWb785A03i55Lp7HdW/AtlYMYp6RgEH5MSi5PsESDUg6lHKLt0SoQdO5Lo44kEVAugElEmXAOUsgJXUkIbGlQUlH6iBQeTcBaBX2WDiUBeKAf2mCpiUFCE0lTTzCOqCS9EDgSwSREVMhQ0sssnpYiexK5ICAIQrAgHUIFosnMvNyGEzEoXJKkJDA4CjwOSORjCUoRvCH5im4qGSkoTKRLHhMkEysZdxodBcFErIGkElFCoQVEgYoS8CRyOErUEXBI7emiJEiIKmJsRXI5+UvJLOsmKWJSyBhRIRG2w2shCAUQAlXXUvQZLBYCvJTIlFAx4GXAiwhRIFUiqHhP2CgywJwMIoGJEdmWBF/gFMS0JKVILQtSGZAiIDvBZDxhsjtDzWpEr7OdQDVislJ0wbK0HW0T6NpELy/p1z1OeS5HlqUcU1oNZ5pYCbzw+LQgbBoIHXSJsA5YkViPEtUgb28YE3sJUtDWjqkI6NDjmzXtTYkLEl+WaJNAOGyMVEW+B9pDig5Bop2MYVwhkkH4OcEloleoOuX+0ApWhSGFHuUCRW8x1lLKSBdNDnOIAbmypMKSKocyimkN4yIxR5PeGXwySKfRSaGFwMkceidTViqkYTzQFhG3MdCUyNIhCo/UHiVKRBIQc7KXGNoAgEwRFSBaQfSCKHKynk4xpzWPU55oQGKLmBn9G0k/kxQ6EYXH1yr7vG0SvkwoF1DzlvjEI1xB0eo8PlMBpSEUiqgDiI4iCaQqEGNDKCtE8qheg0/gEiJACIIkJEIrhA2UOnJ4qGnLgbjgwJeQoiS0FUolEBppx8j6GiECrp9AUtlHKlpSKhBJIqsO5QLBQyo8oa8haVwaEeoSIfJnCBA6IFghjEaZnp2Q0Cr340rUhNATcEjlcrCRVMhSIFcJbJYEI0Vm8zrwY00sJckuCHFKEjWFuqayBVUwyNEVCEXyEmWhMxKnJaISFBG0FazGkgn5eesSCHTulBB48ku07nPwkiuGsT6SPiZ005FioE8SPfUklcOQorRZjosmOpAme2+mGMFLsAqdaoiOGD26kEQjESZCnftCFRON8igVMFJgfUGZPAVgpSRKiUSTlEd4ieoVKvU5vKZPdIUimkgYRUZtro2s9Ez6AhUTQQTSMBmFiiTrSVjEKJFKBRZkiLmfFpF+mEBOEoIReC/xXtP0I2ZxjU6RgEQVMY9HNgXXdsUN8G7lKNYdU13S9ImGGXox5mbpGU0X2HFFebjD1eUNF2cXXHx5w3lxhhKGqjriSEYmsmQ6HbO7oxCupziXrHVBkoliFBBtCQjqyQo990gPIoyIUhNUIPklrd8lxIogCkIBooKFCyQZMQTK2GOdo3GOTWmZtBrZjVj1CoxDyRbTa4z0yCrAtUT5mkKMMUWBGznsBOLeFLmzoR53rIInaEPUmosVFGvBpBXYowCo+zb037r8HUCpbcERh0Hf7fuKPNsJmT31y0DRd/WT+jafofsDTHlvnVsWw73v3Ae87syZNcYYyrpmUo8gJbq+58Gjx1RVhZSSzva0Xcubd+cs5ku6rqVpNthBErBdpBBoY4aIdfWV/X7TWX5b4ZUvm/hKIXc788+3A27/MS6Z9ZET97YFcSRPen+lno65CIj3JI7/ng4IxNeu37aK+VqJ+R03mA3bv8OilCBGsNZTTGeoyYxlSPQu6/vrQqOMwcXIJ6++REgDQg5JUbkoCwKMMkgZsRHwHgHUZTFUYkObCbk803owAxYCpMrQlRikB0RSCDSrJT54lNaM63oAIBJFYRiVFYUxaKVujbQrrYfBRt7darOh7fuB/p9NttUAwG19YrbPofeelO76CDuk7AUBSuns7+IjSWSJ2G+KSf1m8qnsuVWWJZPxiM1gqmx0BuvUYDzuvafrO7q+J8UwAFAp3we27A49MDLEbQBCTsLbMi8VPiVCEgQRMfcMxxlAO610LoAHwKvQ2X8jxkhZlLlfMRqlsjQy+IBzbvDtGbx2kkKpHCcdY0TLLVQ59B/b34f2FGPE3/abWY6psgM6TkjqwqBVvhejoiLEwHxUs9ys6ex3vy/fdH9+FSP2/99g/BY0/k32my2OMrD5P5RFiCwb3kIzKUaS96wXC9aLxe16/w6QSlFNp3TrDSl4lFK8OX3L6zen/PTnv+Dw5JiDgwN+9OH3+dHvP2M6qgiu5+3rU+aLBcv1mq7vsdbTtG2OdB7YgT5u3+EJpb7+7s/M7PuA9VeBSvmVd4tAYkpxmxIphj5KyOxTIe+9D273k8hyezEEmZC4Mzr95QmO33RZlyWTccNRvUSdgr7uiMsF3e5T4k2DPl/SHQd21hc8ubnkzWXgukq8mwhOugPCPrhnESke81hYfu/mBvxL3OYB7eWH9MsL4omjeu5Qq8CDm8SDhUBEz/l4yiezQ9bNO8Yrz8N3JavrMesHY+Qfzvjj4xNGYY2UryjsGbo7BPeHHIq/InSKq9dTkv1jxOE14w9+wUN2ONjXPPoQjtQYuanoTqfUP36PqQw8vHiLP0nYdEN59hM+/X/WvLzx/HlxQ/H2DbLPkq6m0ZSx4ImacnGY0MDza0lXWNbG8Lp6QphfQOthPeZw/ww9slxuCnZXPZNS8e6DCcne4DpPCCXu2OUEq6vEeLlBe8morrEHh2AK3nNzNn1Lt3a8e1ODWFEI4NSwZx1F7Hj7LlGf7MJBweKjCeVFSyXgqipRfY/yPc2BYCp3KWXJFSXQYtSGbq/DrAy6ERTFOTr2iD6x3BOYtUGvNWe3mRqJslyw5x1j57i8iohZgdwtKJYl1kLAsv7TAoSl8g1pDbsh8CBE3p3WLCYdnDSMLhLJG3xV0k4FoTe4RpOuS5QKFOWadtxm0NVB3xe4OuAmnsPXh/Q+sqTjql4hBRRA+3qMSp6ajk0NJq2p4zXvIoyc4LDzdIC1mu6mAKBD0EmJKntSL+k/HREfrHIRugGn1kxS4nmr+Gw5RSXDQ+AUsBJkUWAuCxA911VDv9cjoqC8LokfGpoPDaeFoC57yqQYuSli1uNcz5c3r3ltDgmdZ//Vf48fHdMViZeXp0wfXqP0iJurY7oHh5mhMvoFo/4A05UYfYq7OkYudxmpQ9TJAiMTH549Rm4ESE98dsFip8WaNTfqM8res+cmPKj+J8SwoJU9P/ue4cM4Yxqh+oOXVBcQXclk9Aeo5w7tLf/J2tCXC3rtuN4xjM4KVFPy6Q8LDi4Su6uO6uESqEiuJrSSkCbEUlMeGeykxI8knBxSyFMQV3y+/32+eN3wmg11ccWur5n4ilMgak0wmtZsmPQCZQVnJURbQTejFgG16THWsid7Nsaw0oqiP0ClBTKdEed19kISAaNrqrpjuvM56+8vqN6O2flil/2jgPIRUUXef9TSvxsT/vIJ7T8+gOKaSVjwoNhDuoTpN9idHZRPVAZmm0s4b+D1Fe2PNihZUmyOkCdT4rqDn12gDgPF2DKezbmYjFErxd5pjTYLVFxQ9B3zH1WIPcWse8jsUiNkRO5dsKcAemL7KXZUY82ENf+QWfvzPA6YPmN/fEPcJBY//wPUD0CKnuLne5R6DzGJFM9P4cxihcMcr5FvInQKGydoXaFNxw/DDaPekCrB+YHiuDvEjBJv/9kl8W96+ovEc19wGk9pXUu9zEoFZRLHjyzLLwOtBYoLtLUQPJs9mO2UFFpz/joi1d3baCwStUx8VELoHaITrMsK4aFqBfL5Jbtnluoqm5njHF54xGELq0PEepeyeoeyHaZ3HHaSq5nibKqplwAVEsVO17IpFItKUT7s0ReR+CbixiAONnAwZ32d2G3gwQLoBXY5oRP7dEcFpr2m3FxQnVwTlpH4iYYXPWq9Qp23xMOO4COhBdoWryKtqTANaD8BsUtx8Y4oPQiBK0uk95hLi3smkLWgNoLdtxYXFKSafdvT6sDLceJk1SOEZl0JqrYkjuDsmSP2BcYGprzD15CEJm4yfBJ1pJ/2vNXPEF2FPIMDt6IE+rTD29TRpQhdwSEBqSIbYGMkNnaYt7/gr6//f9T9149tS57fiX3CLbNt7p3umOvrlu+uNjRNkM3hzGCG0ggQJEDzIkiA9CToTf+JXucP0JMgCZAgSENwoOEMNWST7O5qVldXdVVdf/xJu+0yYfUQa+c515TrIqnuuDj3nMzcufdasWLFit83vqbEAaZt+W9OBaNRxe/pB1x0L+i6lvNb+BcffkbHBWP1CSd/64y33z3if/1b9/ntxX2MzEy+9fSENvY4NH95Clsh+E9eFKTFjtYnZi+PuZm0tLM9j57f0r08QrqK977ricuXtIuOf9W9x7ysmffwXvOE/Q7WrWC2/JT42Rnt5ZRl/xbhrCWMe3ZunTcV+siDH3hMfYSs75F2JS9niYsiEv4OvNsXPNiPEPWGl9NTLkdHdJcFc+k5PnJcvn1FV4zpxeyXrpP+yqDUgUghpR7StzIKebe+e40p9Tob6fXi5Kt2v+8WkF8BSH2V5C+vIzMzQcrMfjr4RWitB7BIMxllFtR4NKKajLNsqu+wux1912G95+OPP8o0ReezRCp4nPN3JtAxRbRS8Br4dDjmr/r6ly1iD6+Lr4FcdzJEozlIcGKKxJjT0VJMX9k3f13aga1RKIUU2X8m3Hl2cNcpKSVMoamrEq0k8o5/Ie7ADyHE4F0kPvfLBzYLYthhvzMiFoPptEQoxR2CApRVfYdzKCUz8623WGezD5kPeQfpwNiJ4XPHk1VSEecdvfPsu55fpZaNMVIYxcl8wbIuEH3DRx/8hOACzkd2vSVYy26/59GLF7xx/pBRVSC1yrHrAEP6G2Io2mTeHVZKDQlgiRjEKxN+o/Ax3MWrHzg6Wkk04KOn6Rqm0zmj0Qgl8+uTSGghUUreXQM1fC5SDJHw+cu6rqnKkgOsd2AaxYNUL2QvLRD0Q1ocgE+B1uU+1BGqUUFpCnb7ZhjfB2PUX9yUUgMrKP7aYMbBWP1wL6UEzkdkSiQRCTKDjkZrgh/kd2QTeD1MfHne8bmQF/l4pJR3IPiBJTYqKhIJH3xO9ILhenEHvB18tWLKiXgHLzAhBTKqnCSUPh/ecDBM9yG/kTGGQ4qZUfnfKUWCd3egdp4bs9ypSYmxLhBCEEmkEBhVJd/67jfxIfsEPr+8oh5VOOdw0Q+MN5BK/Epj/xfJs1+bCu7O51dtf1Xw6ksA1MCk/Nxz6Bf9fkqUSmJFxEUIPv6S3/gP0/4q/fGlZ9bg1XTXxCt53xefx75pMvj62ng/tM3NDe1mw83Ll0ynE0ajEcvFEUZKtJKMFgvORiMKbRAp4n1On+26jn1r6azNkr+uwzo3sELD4Md22AATeX4fmpTqtSRJOAQAxDDMgUPqa0opF+QIkszPiwyBxbvxfACxkpR3zMW7QIHfEDQ1ncQmzZWT2FGPqEtkXeP2EhOX1PUpq9XHrPs5Qi2xf/slFYF3eoH46QMmzyOnG8f1+y9wsedF1XL28RITQR494uHXCwo/Zvd8jG2W3Ey27B7e4uQCX1YUtWfUHTOZ3DL/3opnn76FDCMmH5bYN3fgVrBas3n4HlFJNt0nHD+vqMdjJt8YMTtP6NMT5HsnjOWbOBO4GRuaNtHawK28pvq//hnNpudxqzDTCMIS3I51mNPZiLlZ8bBp8T7xKJZQHJEo2DpFZwURwwdhyYldg2iI80vm24B0ki4lqHNOxvFNwsVE7Bxnn1yz04K8rw7xoiIZjTybcmQlhXc8feuSmK7wHq5mHr8XJDumssc0hcULy6i9Zas1mIwYdS4SjEO83aGdorJTzm5HhKTwImG31/S9pPeCwAl1uqWkJ75YIkXmPFm7IKUdMrakFzWTEJmkyLVxwyQo6Ps5K9XQli02JUSUqH3iPe+5nG24muw4+sixd4arWGGWEms7bl3PdL7n2ycVs7Mzbi8c0zRnoRbotyJ+n3AbmN5PxDbi15EyJrqTwO48YD46x80F3b3I7GZL1UDVSKhiHpvjMfvHYOpIfRroT47QbU9xvWY7eQ/nNa7xzPqfYAlsVEnvVyCmCPkG6ye3dHWie6j5+k4hzZ7d9ILPPlvirhz+0RWjeItF8DzVHMsWlSLeSlZvWnovic8q1MsJZ8eKv/MPDQ9rTd22dKtPsDdv0t6UvPg0sjnp2PsdV09v+M7Z24wmc9a/c44Vz9Cy4xvqmHFMRF1z/b37hOoaKfaErqBqFgg3xtXnmPci5TgySbfsZy1OJSpxCec7hAqUakp8Nqe/VMz/aMXk+HcZ3b+P8hesRyVdUfE9u2JfaV5EzbsfGGJloFLUf/kJsdIkrQhOw2yCLgRnLxVJW+LM87VPb1GjGeroBPPymjRXpJFi/N6WoAOxFYQHU6xc04dr5L8dI96NlG9UvPviI166RzxLlzTdiKuUWKWGXJflJ27ta2LwNDFw73bClhH7omBhHSrWII95CcRkEfTY4ppJ6JkESSMEVimiUTwUlnIzQn32LvvlDeAZxYg4tySbULcKvT7Hd4lQN9RPbyjrFjXqGfGYyJhQzag2Hmk9Qgfi/E3SxCBLTTqRpOSJxR5V9RgUxfkRoe3z3D1t2CWQY0f1foN4tiTJlu0bl4wuHFJVtGcTiiOVUytJiOsdwZS48/uYR9fo1KKWhueLiJKOE/2XiNsWmRKT3/kp4XYM2wjuil4GiArhJEVbUTjN9GmPEcdQFNjVh+jbSFFVzP7hElVGrBBsXIWtpmyrlo9uNP1+hbjqeNSNmIkpU2Zc+IJ0dIUrLE8/exP8KntEAd4YktaIBdjbKWFfUoUtvnUEtvSznqsOiqAo2ohrFsS2pu5eUC8FaqZ4LpbsU0eKPSfW0knJuiiY7x3SrtE0NJBT/5QiOIfZByZ9oF0KYhsJnaZZOMR+gtiPSJ88JyZJrArGfU/TlbhmhLmSBAfrGHCnCan2KGE5CRJNRIuC0gcy1cxx9dwQQ4Gg4uGVpUeyERpMSxoH7Mxhrgwp7Uhhh7XHA9u/RzxYI0Sgd4LZTU0SmS166Q0xGnxfcavXJBmofKItBEWMPOhecs2CEGtMXEGEJBPb+3CeBNHDYStOekm5KbGTC4ogOEZQYLFl4uXyEscQ0vW2Y9MGTB8Z7xziWpNqyerrHoJk3MHxc8WjzYK20fy0vGU/crhxgajOSdstRWhpRw2bTy746FHF//FPz9DnDbNpze9N/pDleWA8V0yOx3y3mmYVhwCqOU7D2I0gKUIoud78HR5baG895W7FY6dZhZoH8kMmMaKi5k8/fgfnJSTHsvkZ4ijBt9dUKrH3I1KY8c7v32fvf0Z3+ZxmfERXR+xoz/h+ZNp7xhfw42eax21k3TneEu9QlYbxzHL6Dx4jny1wN0dczCcs05Szf6+eUhyAKflq9//zZcYXXvvlAuXnFS13LCgp+Srg6rAIPnhSoF6BISlGDrwb9ZqRdlEWlGVJURQgBD54+r5jv9/Tdx1t27Lf7/NC2LoMAh2kU0Mhethtfb19lf/JV4Jt+Qdf2Y9aZ7ZIVRa4kIvTbHo9MCtETm4jJdp9eyff+usKTMEAWAqByiz2/D1eEXuSgLKqWM5nLOcziNmz5u6aDgwrNXiRMLBwMsyRhusx7HwLNXxN9jhSCqn1K0Zb4s43KQ3AonOOfdPQdS3eB6ILoIbPFeIuAUwIlY87RoIPtH2L7Dqa/peDUodrLoWkrirqusIYTdv3iCSx3rHZrFmtNzRdTrpKKQ79lsECgbgD2A4yFaHknYQlA3QCqV6Zah/6DnKxiYjZ0FxronN3Rv7GGOqqzgbeKSe/KZHHWY5KHyQwDJ5Dg1zv4Dcktb4DpeLdfZCZQ/kY8vXRSt8VlfG1ecEoTWkMZVEQQ/wcOPuL+lQIwbiuMkBoXWatpF9RhnkAsgYgKMN7aWB45UQeorhjPmZ/m1d9zUEnN5y3HMBQOTDTUko5SAGGfw8MLCHwIoN3KeYC9yAlIvCqV15Da2JKmZ6cDp54GVwUQtwV23eyWNLn56uhs9KQHHjnP0VOG1NiMLQXMqcxBj8A3/EuEKKqK4qyAAmzyZjb9ZbO/npUqV8ImAzH8zqu8+rln5dt/fz2anL5HK/mwLjj7kb5ink6//zw913XD3PN658hBWgl0EIQODy/Xv08xjz2/zrPyb9ue/05/bpcPoTwJVARcn97awdPqYb1ZkNZlmz3eyajmrosGY3HgKAqIqXJVFplFBUVCYHWisJoyrK4A6WCzxtDzrnMqko5uZL0+T6/k8qmLwJsX3gO38mixSug+DWw97UOGC7ywS/uN2PHCbK0xDtJb3LYiVSSsfeMREVVjdn5JUnMwB/hiwsKrVkUBVsmiBiH1KU1znRsFh3j8ABdCkQZUJUhbQu6bU2NIeiELxuEqZCmRBmN3Fm0ShgtmMwMptHMG8GkToN5fQF7gRc9u/6WSV+ihGY0aVncL9BHmqQq0m6DjZbVesdta2m3juayQ3/4Ceu144M0pjItQkAUJXa+R6XIpO0ZReiFJCiBVvkJ0oqYTWujoaWmS1tIDuQOqXROlE2RQ/xiFHkTiSgQe8nkpECNSyblnNt9TyskYbGg3nvKYFk+7KmCQlpBf+OxLuCtRMaKlMLdvOuEIA2AZ3SeaIEyezQKD1FGBoE7ugfrEy4koCJqSZIRaRUUbpDKicF/UUBrSMqSVCSVJkupvCDGEqccyB6T0vD9SB0ik0JhJ5rUCZxV9J2kqGqcj3TS89a9U958a8LDhyNeLBxzP+M0HVG8abGtot9pjt6KhH3A3npqB81JYH0/UHOCnyj6M4G5/5K6hfE+y+nEeASzOdtph6kT4xOJO1mi2pbiakpXv0MTJJu+YXl9jY+ejSzotYI4Q7pTbqzCTgL2Hck3nhukrtgsLPsw4zZ1bD5dU+jsa7iPikpElPLsC0cUVZaGmYj2kpqCNxZT6qpCSI2NPVoU+Kjpdhs+2l+x7q/pLnb89swxmiT2pSQJhaRgEcaUXaQVFbtjRR0COgRkoZEpIlJAjjR6GpG1I2y3eC+xKEQKhDIgy4BJgdhJwm2gu/Acn82Zzk7R6hnSBLQWHG2hl4FeCFKvieOSaATm+oZeljhVMJZjogE0lJ2hnQZ8ESivDYICoQpoFaKWUAnikUI0EdUm3MRB8EjnkR2ooFAYRs0NxvUIEmUUWJFoVOQoxrzKERDKLONDCN44nfLcjWh6g94GpElErWidRspIQQe0RBnwr63hJSBuArKKqKlEO4VMAcqQ5a5Swsig9zXKtIijLTLsUT0ISuSkIQlFjFOUtqQq0hcSqRWpgF454niCjB1CrCmsR/qSwtR0qUBoj+xajBkhTIBxQ6AiSQ9jMDc5DdJJSRoHko+ERpFEIA0Jel44UrRIvyJoTVQJbzaAyXVF7ZDPPWkfM1O+6kmVJoW8XiJFjNeYyiCSQqWWuNHQa9L7CYqEQlGHMUJWoBK6XjCLO7Z9z2VsOI4lFZpYJ5JUEAxdq1CyQKpIUTt8SAQpkEEQu4RoI2UliMoS8MQiZF9eD7ohy0y9ytdhqJdSl/BBYqWkDJEoJVYqgguI4NE4lC6JURCFpnUaH30OxRGJJBNRRbqRRPUS7SUqSEJREEwFYYt0AtkqlFPE4PPGnZIolTcmkoUiFYzkiEpJeplok6PeG6BAioLKZ2JLJcFJjyerDIoYIQWiDIRYAAFBJEaF0AmhBXQlSngK2bFJFUFqRCHpdB4LwmuCTCACo9hzbXL6ttprSgKhhLZWBJetOkIRKES+3rGXyKJHBdAYnBT0KuJMB71ASkWqVfboIyJ2oLtc46YjIOZNYVNVKKdJTrDGgokkrenFCK22CGGRWNgKOtfw/Cph+jWzacV4/IST5Jj2kiNnKYoehWLbOKYPoCglyxgx0ZCEQS0m+GVDI1uOJgWbtgSXONdbRBHwSaKNQhmJEpGJr2ixuNRTqURMBT5NqGSJ35fEbUE0hqbwNNUOOYtUlxKxk7gU6L2kFQViCkb11N5ydLSnWUzZITFlDgyoBr/kX9R+M6aUFEiZZVpfpNV/fqH4ZdDm58n0Dgvgr2IDvc6yklKhlaTQmvlkjPOOzW7HzXqbI9PJoJQxJkvylGS7z8bk1zc3dG1L17WfW1nLwYNCKpVj71/73J/nj/JVx/fzWoivdltfP8ej2Yz5bMo7bz7kxc2KbdPQtm1eoGvNdDLl3vkpWkk++tmHPL+4Ytc0f70LoJSZPEbmYjyDAekO4EgRlscn/P7vfo/f/53fpm/2GcAZvHTigQkSD9dbZIAlekgB5MGcIccVR5HXq721KG0wRUnfZqq6EpLCaEIIeGcRArq+Y7PZsN3uiD4gUkIWmWESYqRpGkiglcZ7j3eOdt+y3WtAcLPZ80u5cIkMHiUB2lAdnzKZTii7jslohu1alPiYR08fs97tMEVBSoEQMwNHMHhGDYypJA6wxGsALRnAMkohVAaXdl17B1j4GFFaY5RkVFXcNnv2zZ4E2cB4VGOEQoZXgFG0lp7MhFBaI6XEMcjwQqQqCuIwftPA3EoyA73BDabYDL5hUlIYw77raPvujrVVFwUnR3Pm4zHGaD56/OQVo+6X9SmCt++dsd7uuLpdse/tHVPrV/h1vPMEH0ghJ3O9KmaH9xdQmoIUI508PNwzuGiHgjynJco7kIzhukgpKU02bR68YwegUKFEniNiCCRtQGR2WwwBKSXG6Ls+PcxhGYQd/j+w2O6M1JVkVGaQPQxJgmlgM0EGJGOCg4OVCwE/eABqpQ6BiGgp6UPgerXjv/7nj7l3dsbR0ZzlyTIzr0zF7377W7mQC4Fd0+Zj+xXnnzAwVD5/FfLZCSm+5B99AF8/d3v9nI/6HPgKdyDqASy9e4+fNzffUWS+cGx3wF7+uio088pghMByYM0OwDjy10qN/JvSfu4z7ysAPhjmpjtDcUH0nsY5tpvNl14rpWQ0nXA0nzMZj1keLagKTVVq7p2cUdYjlDH4EBHOE51ju1mz2e9puo5d0+Gdy2BVCFjncSFkVuaQ3JdNzrNU7yDXO9xbIeXZTkp9xzD98vmkuw2uYXT9Rv1pq1d9VroS1qA3Hb937lBlJI41zfnvMNpH6tuOP/7RLdN7NcuHY3ayYnUvsfq6QrcWO++x71la/wCtSqSO3P5ZoNwm5m3Pd+9Fkg/sHwlO5iMuF2N+Nqvx/s/w2x7xZMrvvmWZlpGZkSyP3sJuj1jFOft/9i/Ydlt2MfH4HizmFePykmC+weUavv+jT3nxL37KvrHsy4JWtxQhcryX9DHilaKuBEXXEeKITt0jvLihkp6zqkZoCCYixxazuwaR2I4T82mB6UtYGbamxOkAdkurSygK+l7DTcSZyJNp4MFOoFzFU97kd7+neO9rC/7u2/8p33/55zzZ3nLVTdDlC0YCfufv/AHfPj6m8IZ//kcrvr/5mBc3KzoEJvYY2eHr6nPXS+9aVCPp5mPSqsV3LZ/N1hS+wDiFaVqcGIGogJJmLmjHUF3tcHWWEFbxEqssTkSEOOOm2HMz2qHO3iFtAqwDiILs4gLHfU8bI31KbJViKU+4V9/jT7+zJT1dUz7Z0l2cEHRCTCS/85/9L3j/mxVvvQstnuI6UVwk0qTBixk+LYhKIWSDlBuC9Pl5FiLVgwCpACpu793DqUiIMP8MYjGlXxwTv/eMsZOc9BVxVpJ8TzpeUE5KerZs7AXm+8fQw30t4WvHiL1EfBbov1EjSo+eWNKkJwiBLU65/a1swv/jP2l5dwolCdt7CrvAjh0v37wmfXyPhEc8eIK8sWixpN6ck2b3sCcV2xA5f/CAab3ndP19/tv/90/45HJDXXu2X3/Ekb3h+MOebvo+kgnV2oOo8BNYn11z/8pxFCR+VlCKpxQqMD6DmN6k2yieX7yk37yNlUd0XUEXjpFzz9npU4TY07gtP7IFy1HN/cWEan7MaXFBtD3ykxNm9wR+HAjTkmY0whsJ1TXPjiLbeeJdWaN9i+wc1krWo8R+WVBV32TavqDav8TFNWqvgYLrt9+gXq8pb9fE6hFF11O2NfXb9yhGO+R+RXieaPdTGiF4X1xzVRpujeFstwGyJ9jmPpQOZij+0f/qIX/8seT5Dx2tBTHbEY5a0uo+dEAPRd+zKxMXY6j7xMQHpp3H/ZEj/OEtxd/5mDef9QihkPdL+o+WxLkmPDRUBaTFBiefEK8q0nqBurqHffczwq4lbtak717TjkdcF+e8cfscpy0X9wNj9dtoBGa8of6RJfXZ/0y9/zaiazAffcKb3X3SyKMmz9h4h06JeTdDLiZEbzArhV7ckJzEvZzhv6FRJYzajsv3A7GxTD59xnH5XdxYcnX2EbOTN9BdTXwKbEHYHhFb5BsJMU2obcGufEmqHJPjESJ6JAmlZuyfWvYvWl7KTzi5P2E0m7CsS8JOMHGK4+XvU+mSI/GY//7sJ6hbgUoC3of02RKxGlNUL7B2ShRTTt56wc0mYveC6nEFrJBlZDTr8KbDq/w80uWYwlbweAPFBqdabpmy33hM6zFsCcC+jPg24ofn2TUFZbIYPPW4o+8LbKd5zgOiacDsGa36/GopEHqGlwlHg6grfDHDmxkieYSLFDctGEgmW/OxLnJNBlwAb8Y5Z2pBNfd85nZ8RuRrbswIQyEMn5YGvGXR91xVFWlriFc1ilvQElfX0IMOLXW6ZPvkHkJHiqJhHUdMRw33Fj1tc49YRTjbYruWtFekbUldZ9sTRYLFC4Iz+KsRp7IjeYi+5GXREcuAPEoc6TFhr9g+8uQnQ8E1JyR9iRQN022P7Uu8qenLI5AvCEVgV5aM+55iHTFrWJWRrirYni+QqxWmzzXo6Y2AKHgE9COLFj3zK1gUBaLStOw4KQPab/jTP/l/sv0YfCGpt9kDWMiCYvwWf+8/Vrz/Rsm7F2/j6wVyWvH2+z3vf6dE+goW53x7PSM0gpAKPqt2rFXHf3H+HBcjLiq2/Xf56M8+5OZHTyhGFzQPBPtpRfcXHVW6x1icIiaPCdWWdnzLKJa87BZs2inuzS2L6YhlPcLxhPJRx9GnltGp4ObEcfNWw+8xItoVNjz9peuk34gpddiRPDAkfpH/0+H1h+8Bn6P9fxGE+qJcRYicrHd4jdYqM2OSZzqfYsqCcyH58x/+mP1+n2UBw+5q13Ws12sOJsDB+0Eqo766sErptVrm5wNPX/JJGZgUKX5VehQczaaMRjXLxZLrmxv2TcN2u8tMD6UYL5YshKKeTJBAEgd/Go11kbbt6Z3LiWh/XdsXa7yBmZH/Ke6Kfinh+vqaH/74J1yvdyxnE7QAOYBRQN7Fjgnvfb6OzlEVhnFdUlXlXQHf9z0x5ALclAatNEZrvHW4GLExURkNCWIM2ceHRCBS1TUxZBmUknIo7h1SFyilqYthJzVG5rPA/XTGxfUN633LercfJCU/r1gReTdXZlCt1pqxKeiBP//hn3Nzk6M/296idWYNjauaSV0jD26UMMgJs3m5NAZxYHWEOBT7uYNzqqFiWo+ALFNr+z6zfqQiekffNLi+5+T4hNFohNEGYshGpeSdCqnzDr4xBh9jlgKGwSdKSlwMGJF9k6SUgydMZnihsqk6IWSmkVJoYxA2+08ZrUnJ42MkpMim3ZP2iaZrcIP5+y8aV5BB8PPjY7RUtJ1l3/f8egVjghQRMQ5+V4Oh8uvgOLkvC2MyiDSkc75K32OQLQ9y09fGfYg55U5misbAxBKEEAcpbmZ2IcBF8MP3XOfv0sjUwD5NiSz9G9iTCnnH4jxIi0QCEUHENLCjBoadFBRFecceOcgD833gM/gpBMZoYgxYa3l+ecnx8TGmKBjPjhAyM8ZGo5rzi0v2TTa4llLxOVrXz7lkQghmZYGWg4l7ihlgBtreZW+xkIt/KV4xuAbC32DuPpwXB3l4fp+YBoB7YO4JEt69GkNqYIKJAbS7u5+kvJOKGq3zzu/AtJTDmO7ssKMjBLUxvDuvef9oxA8ubukGA/xlXWF9ZG/93Zj4m9h+8VXM7as2l37Z6/Obv5IB5i8PibfQNy1XveVW3fDi2fPMDpYSU5SUVWbplXVNXZQUShFioCwMo9mc+ckJWuSAEzdIbCGiYqDvevrest7tsS4zrcLg+RZJSCUppAYpiYeUhteA4EM7APuvHfyvfP5f1ewDi9oq9FZx7gx7FdiZyIujglFyVG6Fagyy0YgexjvgxYhtv0Se/ph5rZhsC56ub5i3mofdMZ/cu6RYlsxPC97+9ojiYkP56DludYI6joy+VvCk33C72WP/RPAHkzklBUnUiPsr+saxXimOHzioDf03prz47065vZA0Nzcczce8UBWf3EqO/skP8SFyGwVbafAzCHWP2RnGARbC87wsCZTQTzEPNXXQzF/Alj0hwkt7TpVeErylRHM0mWBkIPpbmueGVif8ez2zFz2Vc/QSKuconUdgOZt+i+npGb/7vVO6R99nfXXJ5aMrFs+OWZYJ870rpuaEh37J3yaxe39EwrE4gq49otmVnJorpuWO23IFSMKkQWjL/WvJ9SyxLzWiP0O7HcJ7uJ7Q2yavx8YwXwdqJ3kh38QnTxQb5FkP3Qgu7wOrw01A0XUYMQFRMyOyslN2oaZghU8WrwdTcTxBwvOzhOg00ipu3/SMq1tmtJRPO7rbEdaekFJPWBjsvZIP/s1HxOcL7Kcz6q87iuQoSktYCfrC0Vd7RtuK2Kzx7TW7paHQC0bihGryKXIjEdcVbQE+OWJn2XkDqSDeJCZVj2xK1qsK9eKCvu7YzywnLy1OB3Z1zfJenZ9FtSAWO2hBoInHb9FOEtvFnnuxpNB79Olzfu/2HuXiGR/84Ud0TxRuo+n6EU9SBa3EPDfU8YIkEt2q5CQEqtry6dstxyPLXIx428750f/jX/Ds+oafzXa8sJm5XU53tPeP6Y5OOdn3TJcN1BbuTUmPV4xE4P0RyHOwW83JhwpwxJFgJ2bU2lHT82as8Driyy19eUNfvgF2zNGfH/H4ZUdfGr7zv/0Ox7XHlI+h26LWJcKVcPKCan4C1QgZErW1BOfp354w346YPiko24Z0bnCzipffAFc6hPAc1Re0xS3NaMuJtKhtgVhrTvunBGnxlaPXR4T9hrjpuP7uU5bRM972PPtJyXYVCXXLk+oYq7Yk1uy2ms542soTkqRwiugr5tszfmdlGd9s+e/7U+ythJ0hWUGIiT6OqVOHqhJyKXHS0d0m5DWo35lgzwvUKrC5CmBrVDiiKPfIfYv6kaV8C0oTKDkhCImdjYnzmno3QvUSNTGEp+8hzIhxMcMnh6Hn4WXEjndoHUlK0x7dgx7UtoObn+BMwfa9c8ROI4NG24dUZ58hdMKOTtE/zuyoeOSwzUNi0WO/9pRWa8xeUT29YeoMKRZoJD4+hSQYlwa1bpFtg2quaO4pklZU6xLRtcQA2/oe1dEa2Qban3r88QVyKhnNp+y+Lrl97vjRP/kpf+8Pfxfz/oj2rIfqDBghJ1uK/2xE9bCG/8+UGzxGRswTcPtEiAlrTwnBoqNHffQQGRIpOrrigu8uSh7WBaNuyeOzLTeTHnVRs771NLstVBVVGDGNBvfOimWCsZfcXs5YHTd0U8ublwrfL7F2Shs/xZQxe9Cu4HY2p50d8d7TFpH2yNBynJb0R3v6WUP5MnLhJNe14O0Tx25/y3a95n7yjISkkgqXwLwxRb8148X6MaNGMG00V6rjt2eav7uY8W/Nh4jU54LlD+7TXm7YfPSC7bB+1Smh+p4qFZRyRjQdafDQMuaGQlpKJ7Blg68jdtoTt89IVSTVYMpbtIuUzzr2cYEqA+O39+iLSOESEsH8NlFWnvbthuuXJ2jnGXW3LGwiNSV2M6UvHSE5qioxP7MQPburK5AOFQUzK1hPlgQKuHHgpsSQ6FyB0Bt64ZBA46eIvWDfv6DzR3hqjFnTQ16b4yiCRhY1uweGetWjbKQ350TREKVni0R0HcYJ+v6YKl2j5R4rnvHn/wo+rCR1/xyUASVRo0h5/5TpYszvLVqq0bdQ5Qm7ak6tBW+agup8RNAKLzS6O+E7JyXOvkktO1JTk7YlYhVpl4J+Gkj7DUdXIB+3uDPFm8uOcSG4sN9i/PySkbtCdi03C8XNtyZ8tzCcPtlT/XDDn/7ee5x3Hff2X96g/GL7jdL3RGKQYuV//DJQ6qu+n9JhAZvu5ICHnx92XMVQ1EupiDHLiHzIFEqINF1LLQVFNcrMDiVJ7vOgVn7951lKPy/xL5/fV9D5Xzv2X8SYYnhvLXNhr1SWJIynE0b1iPl8Tm9zbLsQgslkQl3XJKkyqyXGO/kWgCIXhjFGhPybUfrcQSXi9cSqQ6GS//S2Z73ZIs0lwdmsnhtAQwY5VAwxJ8X1FhsDdVkyHdfUdTXUEpFmvx+kZdnrSKvsMRJCwMVIFyKlVq8kVVIjlUIaSW2Ku7EYBxZAURR3xA4fAikOYy1lUEVp/SsbnR8q1RACu90eRAa+rq6vuLq+pm0ze+hgsG2MpjTFwAh61Wdi4GHogQEgyFKCg9/Z66BKobMf2QEAkTLL0OLADpIIxgMgdWCucSCdIe+82IzSpOSIA7h2ADTuDLTJ91Ic7i1xkMkMDCk5nBNklmAIgdIUufBP2WcpRkEIga7vv1QUfrEfU0wonWWuk3pE2/aURTEMuPRXKxoPLKm7L9Pd8ScyMHWQFQohOJTXh6S+w2eKAXCFwSNukJYyAFIH2V4GWAYvq+G95OCJFlIgxIgUEq1fA/NhAP+5A2ggM6AYUv0yKy99oR/yPBRCvHuPgwdWGjzy8pgx2ZMHQdP17NuWtstAXxjm0DBsChTFr/HIGNiSy6M5o7IcTNzjXerptulo2o6ut/TeD+bwkqowA1CU5aQH0a5S8u5+EoAPER8jnbWMRzWjqsT27s5/ryqLO/acCx4xyKXC4M2XYqIqDCmGzFbTCmMKCmPYNc2dJG9alrw91rw90nxwu6GwmQ2UE0TFHVD5N7Wl1/7+eXfQb+L59VWs6ANjyX8FEJ2EpCgKTGGoRyPqKgcvSJnnraoqGVFTaI2SORFQDaBxrTJT0ZUWITK46H3IPnkD8Oicw3qP9YHGObTWOdQhxAG8CnfBBYcNkkPC72/SAsXde0hARYGMsNaJ0EdoPUk5ApG+AhkkziXW1uEWDllKDIo6eiZ9zXwzR9c9VAkXFaMYQfb4eof3Y+RUo081oqsZRcH5VeR+USOiYRsK9vtb2FvkPjK6uiIuK3ZVQVyUeFuy6zRlKOij4TJqbq9XyODBlPRpShQKKXpGUVKKhB8L8AIRQIQcpy2EoKIlP+UkXYqkYCE5lNeZcZoU2hraRpMMRNkiI5hUcs9UHB3V1EkwLi3z5X3Gp/c4fWfBKiyptGPXO85HC+ZqRkqO0owZK0HJBlOMcypfucE6TVCG0RhM4VGyR8SIwuXdcy2IKhBkRCSTN2pUgr3EIUFLKBJaKMqoM8M49UTRE3RLkhXZWzW/VGuBNgUxFKRYZll+ksigke2OovLoItElmz1Lo8qSFy1RSdAZiRUWHy0memyo8/vINRiJN5qXT14wMYLpomK567Ey5iSrvqF3HtvB5LbDbvd0+x5vGkZFQdQzbAFyb5FXPesy0aucOnXSgVA90bSkaY/bRLrnG2bjFb5xNE0i+EjSAt8nrNTIUhCmEVyFNAlmIEaaWEUaJXBKZC6YNUz3BZNeI4zMHq4hgUw0yiGlp2wkZepICVxfUiWPTp4u9uy7HVpoZFdy9dkznl1e8dkb0CuLrCOykojRBDmeU5R7VLUiVQHbjrF1DyKyaGuCyHJspSRhpEkagtBE7VEqUdZTykqTioQTHb2MxCAothHlBKbQzL8+ol45ZJ+ysXJjEFYgRnntj8gbN8pHhAy4WlGtJKpJGNvjQ4mQJW4WUa3C9AFdOkTKci4hDUnlDZTCt+yBXktQ5HGWFH3KLDxH4sUt7PuAVI4gRkBC4rGyoNOCxkDZJwpZMBlPGNmS4yToih5fKLw3yK6mkltSGjxspUShqaPBaktQCack4gikySAWTZufoTIgokdYT2oDioBCYmKFDZIoDKIAiUYYgZgK4k4jo0DHQCoUOmgK60F1w2afJk4VFAFROJLtCFrgZxrT2bwOUwIVC1BZmtcKhyCgY36WoCQUgV6UhKDwLai+ztdnpJB+jbYJ7AixB2xEFB5RtwilUK0idgk8xNrjSoOIJb4Hv2+QCmKawkziN4KLJ3uurztG93tqaoLQIDSFCpiFplyWSKewJocYVQ6i8oRCkGKJIiJjwm1HCCx1mVi8veS9ec07ZUW5WzJ6c8XtvMWXE24ry3btiG3BpJ9RiZL0tcQiSEadZhXm3JzXdIuOr00Svr+HdXNau0HVAllImlWiOj/meDnn/XKLFAahRpxwj266pRtvqWViIUoui5I3TvZs14HtOvJAGyZJUEeJjSXmvSnmG2Omlx2jfWK2V5zQ8d54wsOp4ZPrQKEEsTJYHUBZrGiJ0eSN1byIIG8ZBfywmUkKBNkjiBAVJRYJ9AmUbogo2r4kJY/0gdIFOqkoTGSsPIMDLAkobWZ0WRPptED7PPakcpAEqlfE0IKKUEiEgiQToQpIP6zpoyIO1kEkoK+QKVFUERkhIbBS4p1ChIgNPVEkkIoYJT7ldUAFiKRIaJzRdHhkkgSVSDGrLFxRUKSA9JGAICVNih7tt+xfGnZJ0mNJ2oIMIKFsA9PFhMl8x3Q2Ro86NuOeZbljoh1CCcJYEUtDcD1qUlIUCxbeUhQKpRXdfcXuVNLNA3J7QiUNR5uWzbxmrjvGOmCvO0bKMxKQbIEaVcRlkS1ubItc7dit32LaQr/75X7BvxFTKo+dRIwJKdLP9Tn6oofUYfGbeGU6LASklOWAWmefmbqqGI9HKC2RStA0lqZp2Wy2bHebO8bA8xcXFFXN7OgILQVFWeKszQbohxP9FcyTXz+n1//+5ef/eeZSYQxVVXK8OOLs9IzpdMrR8oh129H2ln7X5O8dzZnP5xRlSUJwvd7SNw3W9rRdl0EKpTgajZgvzxFKsr65ZLXeQPvXtxDK8rtITn0TGKlIMRDicBfmEhslJaXRjArDzXqdtdshkJwbwMdE57LhfAiBuq7o2pbNdpsZNzESgmezbwcZmaBUeiBkpWF85ffJ7KI7yhZSSbTRLKdTZpMJy8WcrXNMxiPun55y8/KSzXbH89sLWmuzhM97jJLs25ZmkIz90r6QmeW03Tf80Q/+AlOUjMcjuq7NkcgigxBSZX+VwhQZaDmwxQ5m1kNMeXAwMuMMGKmIC/7OqykMEjRBTobLwbwZmIiDJLHQGi0lk3qETIJgA4EIIjNxjDaZPTKATTKBkQojX90/cfAdkgOIkGL8HDCSIFPhBmDHD0bGTdMyqmrMABp2fTcAX4ndrsE6d2ee/FXzSEyR+WjC2fExo7KmqjqqqhqEjr/6/aBklugKLRFBIiIDuJeL0JAS+nDvK5X9mAZvs0Py3qu5bDB/H86VYT5ERhSZ6XTHjmJgYKncv0JKhJIEP3x2CPSuR4gMZouBJZQAH17NNdkzKs+gMaS71xwAtYMJ/Oc8dgZ2ZUgHabPMngJCUJcVZpAFBiF5/PQ5XdtztJizsw4XsifZ9WqNC2kAY361udEYzfe++13unZ8yn05AQDWqUUqz3ey4vrxivVpzdX1FYQxFYZiPx4gUEWRAFWWQ2rBcHhFC9heqqhprHW3X8eEnH/GNb3yd9959hxjIc2jfcTSd5lQ37+l6hxlVmLpitd1ByoBXVRfstlt2my2qHjGdzZnOZ+xXK7quw3Ydx6VmvL6mvHrGcV2xd4lNF1h1bgDGEl/cqPhr315jpAKIgfX3+m337+p8vriB82Wp/ucOCwBve1zfsf+i9G+496RS6CL7JBVFQVWUlEXB6fGS6bhmXJWc3Z8P8m/Fuw/vsZzPGFUFT5895+NHj3j0/Dnrix3z6ZjlYoFWhv12w367Zb3f42PAOU8irx+0/g2XSx+/CXpN0hueGUfhElWXuOwauqsx9vmE6zeO8A8a0rtrFp8a2tGK3dkt5dHfRpoZ2lR8LQqmxYRyfMYbN4+5NoqXY8PqX7aEccS/MebvPWwppiVpPua33v9dpm3F/P3I881z9tdb1NM1f/5fJ/rQIPUFf/xf/YTxcszZe/d5uBCoquLZ9IiLDzSxquDNmu5tTRE9076nf/oWsgkUbcc9a7HTxIfvJCY/7TG2B7a0LyosQOpJ3EcogSxfIjp3N3us11tkMJT9OQKofIf56QucuMdicsw/XnwN9c1vMz4vePudx6yamiZ6tvVfMt7VvDf+Bv/5N95AncwJpWL9Yk9FxT44/un2Bb8v5ixLybO3GmYnPcWxoTAl8i/yvF50HUe9QBaaj05nJLuFnSetdsRlC5WHXY8tJL4qkaUlqilQ8jZPCDJhEVzclLjTDeH8Fh6XzEtBPdWE8k1udj27xrHaTyn0mlLvAFiOKkYjxQeXFu8NIUyoiThjaVWH+GTE9ZHHLwLVm4oQJWmVEOUe3/a4556Pn2+pvq5Zvrek7BtCM6ffH/Hp5F8Tr4+Rz44Rqw9ZNyW3dsG3Zj9hPtrhzBq3fYi6uEF/9oiPfnbD1cmc6zfu8/d/FBHFmv1yz/Z8x+3zPVc/2vJbf79g9rSk/lHFn/x+w1QF3mkD/X2NWkbkaM+R/zpyHuHeDeXFh5RdR7Fp2F72bDcGfzPG6J9y+3LD6vtLZuk50nTUsz3dTIBXcF1g3LCRWQIO1I1n/MMNj/zH9Iuai9ExSW1Qac+7j6/5eAm91gRmzIpjFtUMc7oFI0l7kD/xbL+eiLrk5IcPqOdbmDs2f1/iY4FooXzUEyvoyxJXfY1K9hh6an+OdHP6qLidPmMWFUe6wBQ7qpsRaTPj+mvfZtY9p9o34N4nmbyOZdcQlSBKTdl0KHuTQYc3BcJMEX3BWQHlM49eafrfOqJuKiYbm1Pezrb4Bx04xWUas1Wat/VnqGUBxRTxsznqTUdz1PGD/jk73zKKPWe3l+x0YmtK2hJcLVCF4PgFfP3rC7717TeZxoRfGsx3JvDxJXo7pWoqzue3+F1Pt/JsqppJM+N8M+dZ9YwgAq4SnNgVk80xKZ1w1G0IsxXx5BY+nOJ0hTuZYESPC4HOe9bNmCpIarlGfD0iKolUDn3xCSKCkxpRjxHWwaahrGukrVDrKUZ8RqwC8UTh9u+AFNTqlqJ2aBXQs4j92ZsgHLJ4xONv9phO8bWrmjB/QoqC8tkJL+85elXQ62PEuACVYY/RGkxwSAwujTNI+fU5s6uPkesdXLwA7pMKzbj6GT+bH2OnE95421N91qJuPaJSzOcaW1a4NOcnm6dsL1v+05u/x20fcb5lGj9j8qlkejmlqrKXmtZwcgIv0w7vIuX1nqIrEKHgmsgoXXF/lvhf/u//Z9xfj5g1JUmP+IO3O1h6Pt1qzCqhVh37n/6EYn9GIeeYf9TgnCG2iupnPXJWImcac9zjRnOCGVHevkvSJb0s+PMby8lDyemZ5OiqIGpPNIGxmJJWPWnd4id7Yn2PWJ2xl88I0ZFSohiVyF2P3FhE9w7ppCOebhjffJuQLJ6eo2uBuN6SXt7yrcsjnk2gfyi5+pc/oiRgSqibHp2glJKLsiSFHtE/ou64I6hsqwovJbuy5LjriL2iWVWk2R7bVjx+eUJKDRWWgECWW7QNlJ/BbVmgTGZhaUB3EvGiIOkX9FWNax5wu3iGwlNut5z0PU5Knk8qVtcGlKFfTClvNzjnuKKg8y+JpoDlPYQrqVXHw3ee4T+J9K3ktixJqSMJga0qFFtElHTdiDGWWgjexnCJoPWJ4sqytlOCSjB7jGwEAgMnx9CAsIGiuKRPS3w64kH8DOMn+DjhUyrS6DmMGqige/KS9U9uuBk5xvYRKka2VfW5zXv/lkecaI7Ndzl6cMrJfMx/fntDevsUdX7M0fE581IiSliMzjHKoUTk1s755PIveXb5AeXujzh9701O33yLdB0xrqKykg9f/htceQX39zz84DPiuuDxdvJLl0l/pVVWZi9ldkWWkby+wHy14PwSm2jY5RcDTV9rja40xhTUZY4/l/qQbpcgRrre4vaO3vbsd6+MyJ13A4UgDdIkz/bmBq31UIS9Otb06iBeHQu/3qL7zjz1C7+SpS0jjhZH+e/5DF1WQ9GemQx9jDx7eZUXt1pz7/59CNlceLXfY3cNMQYUkUIZRqMx58fHOO9x1rHerNl2HT54rq6u6HrLX1exyGG8x5jZGCJlECCQUCkeFI6IlCeaSVVxdjSns/3AJIno16Rh66ZFq1x4SJGZUTFGREqo4XXrzTazzIqCWT0aQKmI0mYAEw5JafkzD8ygA5ut63teXFzx9OoKpQ2fHb3gaDKhKg1vvv0GZVEOEjhJ6lqePH/B5dUV7RfO/csG90PKmkxoBEsNKfSsnt/QW0vwfkh0k1Sm4ORo+Uoi9prcSEmJLMuBzZTPx6dAeC1hL4SIi69YU9a5zLgZTMa992x3W1JKKGMyMyB6fIKYQmYXDuyyA5MnpngH7KohkUjwCuBNKeFclpyVShN8xA4gWtt3FCoDYCFmiVlVlHeG4BKBUebuflXGIH02V/wyGzDfz2VZsFwc8eD8jJAipTEcz2d8NNxnv9L4JPehlopCG4hDOpeUWcpHBqjEkAJYFAXtULyHEJBKHw7pbv7LsqCBraENqFfAVQp5flQHDzTSHUtExIhM8g58FsYQQ2YJ6gO4moaghuGaKKVw1mYQLWRQSUDu00EqeNgcyKChwsuBNQeDH5VAS3XHFHXeZyai91TG0PQ9z6+u+OPv/4A3HtzneLHg7N4Zbreh2+/gwIb7FcDAmBL7/Zb1jcS1+8z+HEC1lHKflpVhNhvn+S54+uAh+AxSI0DZbG7r+zvT6wMIGGPCKMXz58+5Xa8pq3EG4GLks+fP83n1lq7v8SkRSBRFiVJ6MHrPzNswSDSFVkglUfGO0MlnbYPfrnHrFZsQ8AlKLWk69zmW1H9oj7/fBDRKwMPzU6oiy3cvr29prcN/URl+YCvzCrD6TcGqL64LvvLthjWFSJ9nWd21GAl9R7AC17a0w3HeXl2idZ6r1cBqNUXBi8sLppMRhTG8fHnBy8tLble3OOdpO8vlzYrZbM6oLBjP5kyOFjjvsc6x3e3ypkT4Yuf8ei3WOxKvggKqk8h0Fti/MCzmiTf+bqBcCXoBLiT26tvUm8DJp57m61PK3Z7R1ROeFXBuIotiz/4tw8N7gj98y1GcvUOsE2He8/BlzWYceH7csek+o2kt177j0x+tud3sueo2bM87og2wjsTCsHOOi2dPmH86xsaEocMvPONacqY1z5+c4GTPZnlJwFMFxzJZbpTCOYF5AgGI5bC+khInNdf1EbEIKGcZrzt2VUQWsBh33ABRO2ZTz7cefIPjoyNO7v9ttlJQCc2bYsTl5IJ1VHz/o5J5P8OMDPW3jyjfTlhn+dfpmvThGGUFk685SmFYSsl/MTphlgRWKP7y+fsUqiFun/Pyn/0x+5dbkoH+VPLyuoJOU257rAyIFDkXDVrOSFKxThf0ytMLSI9O2EWPNQ3OzmHZIGrL+EVPd6Nwu4LDMjHEyOb2Gtn1TIKnfWsL+4RqEsvKkrY97Vpw/56gaQ1dl58tZQ9lELTREAqFWQa+nRY8kp5HxRUQUVahkmH8t97j/v0p3+wa4nJCJDDxlyz9DH8qcW+suGgrlmjelzCZv0cpImUCk/boeYF++13M5dfxIRJd4PzbI+LoiH52jNw+Itxb4JYS9Z5AO03xXsF5t0UKjTkdIc8EQXZ068APPviXtEYQz2Z8I32bcRk4Pr9EnxSYqKi8Ir0I9Poxf/jDH/FToWhkSbJwdumJCTYCrk8gKoMLRzy7dXQxMA0veWf0JmHVc/N//xiz2tH2kkf9fd55e8v4fIJ5+D3OJz2lWLNenjNRLVpa9NcSJ+MlIkWq04/R2xG80MxXnmZSEAoFi4i9Oc/JXcsnBF+gRWA6WtGHgr7RyNvE5XJDGHu+dVvRn57QLedMdo+w5z29DOgXKyiOYFQSxitScqQokc03EEdPUYsbJuuIPNqgSssei1kqTCmRLy65HDl2C8v96y1SeWSKuIuS2q9QCcL110jpBiH3FA9PMBLidce0/Rhig9WWfimQXcW4K2mKnrIB2Ujcm29RfOcNjn73Pmw1cj6lOK3gL/8Y3xa0HTx1Y+qRoHpzDzfg6y2N2WIXlhASMig69R5hPEffWxF9Cf0c8XTKZr5Fmo6iWoNRGC2yVUfYExuFaDShBxEdiBZvT0AERqYliXPsxNMu10yaMtuzLByir1E+IjvQdQOthr+oiG/tCJXBpnvI0QohDEl8m1P7BBkDYVyD75A+oZPmgX9ASjXlqCT0DViPSZbuYUSInmp1jYotwU5oH51jdicIVyLUCnlSkUpJEomHtzuiainOs7IBX9CXJea2w18Enooltx+ueXFxRfrgMe/+R5HlW2NSdUT98pqRCvTTnskmYVrBzU1Bb0tk1CyKOVsn6VNCFdcE2xG6muL7U+JoS1tu6BZvU14G1KVltAnIaY+oLdPpkufnil1hef+jEjePuJGneb+gsC06Boj3CY8L4iZh9Bg5WyOqCx58VKIuPP00sPNTGEEcRz6cXyAuPeoy4FaRy5C4kXvm3/yEk1iz8GOeL9eIfobaH7HYfMZu3bC9bjh92dOPp3TTOad/+ojNas/lbo94s6fZShYvDLYqsT6iUuJIOLqp5MWxoe+PSaFBBEu1L0hFIow9Ygsi5rXjZZqh8RhamiJhXMc5F2wKhU4B6Sx9PwIBTls605NzGEs61Wc5dgJRCkTVQ/US0wtUNIDgigXBFnBrQKyQWKrmEhEOifDwH3336yzrCnMR+W/TM1ZdmxMFEznIAABF0pL+OGG2HmkjZdlihcpeX1yyU5EgNEXyGNNhUkRfJ26PIJpAud0TiswwPN5uuPEtvVJc3BccNz26S8RNi2kj0o9wt0tG/Qoj9jgM+zNBNBr/7BStdijdIsdwdBkxF5Zd+Rnxg0e0Av5v1mJHS0I5YWQCvvaI2vCt03/Mw3cSy7PA9W7FB3/yMx799CfcmJ7imWV8dM13v/MWp1bwTT+i/s53Cb4l9T39tkU/7tFP+1+6TvoNtv5ySSLEK5Dpi3K4z+2IHnY4pcxyoiFy3RhzJ5mQ2dQjFw+DKXXbtFhr6bqOtmszvf6wODzIWKQgxfiVqXRf5Qn1ixbVXyk9GL535x/DYLydQGlFVVVMJhMm0wlHR3MCMhtTx0hMAe8du+0uS6uKgtFojJI5scl6n2luMTAxCqGG1DolSUkRVSAmQd92WNvT9fZXSin7/2e7k4OkjBVoJXPCiRCoA7MkV/Q4l9lv1ts7D49iSD5TSmajW3lgi4Q71hQh3hXzWZoJhOx/lAHRCDIhZRo8ZQYfJpmZKySyhjtatts9F1c3XF7dgFRsdg39yTHTyYh5mpAgM4iUJng/jLNfgSnyuX5IjApDSpHNxhNcZjgpkc+hMgWz0Rgh8mL2btob/id4BfzGAeB13t9JumKMWX6S4t3PlZAYbfAh5ALLWoqyxBgzsKcCiQHAEHKQcHEnXxMDeHi4jq9SD18BvSlE5FAExmDvDOoP2WmHwr4qDIXJDKEwSM7qokIoOZhvfwnvfdWPw/2ntaIuKybj8QDwKuqqzNLE+GsCAkO/yuGcD9LOQ+V9ACy1Utgh7TClhNEqG4cncueQGSZaqTu5YnxN4BhVujPyPsyPhzlIDJJIbVSWgyU5+J1xZ9h9uO6H35dSkpS6M2A+AP0M8zBAFOnOcPqwURBjxKfBUwoxpFoOY+fAbhOZYdf0Pb7ruLq+4f7ZGcYYRpMxZVWhjXklETzQXX9hN2fZnzYarQ02+uytNUgc5fAMGAtomgbvPcV4hAh+mD8BmRNe85hMHCSRSiuMlGh1lGW6vUXqkgPw1zQN3mWGY0iJts9SwdlcUcqczORDygBVURJIhJjN4LUpB1mXxMdA12i2CfY20IcM8IV0mMv+5rWUEvP5jKPphHFpqMqSpuvpQ7zrs7brcHEIAODngEf/ntpdaMFrnftFb8o4BIe8mmcTXdseXpyTP43JcuyYqKsKrRQ3t7dsNhuaZo8UEhcCbd8TYiKMxzAeU41qiiGtVwiBc+4rpYa/VitatHcUIWKjIepIGEfULlHOYHQ/Ua13gAMhiQhIGhM1RzpQyEiVJHYyYToqmIwVy7LidC64P1G4YgImQBHpt4KdjayEpdldI9oWtg0vL1pWbc+VaOG4RyaBToZE9ubq9j1xLZBCURYatfB5odxZVLMgKEXqIKmWVGQvr8bkPCS5l4SkQScwWRIXhaCXFRQbJJY6JEIhKCaSe4uK1PdEJZhNxtx7a8bZ+YLlwwX+pkf0eezZuqG1it16hmgadKfodoKTAXDfeYHrQLeCUcqSwCpFTlzE1wonJdgSt++JVz3t02t8LwhSkGpA50Sy2vrsOS4kWnlUlMSgssxPAEkhW4VTDi8CTuRNl0JAESK+z2wmAJxEtJDaBukDUgR07ZC9ybIhE6FLpE6gTjSF8yAifQnaJYoIPiS0FxhvODIT1qJhoixdrQkEUFDNNSn1bK9u2LWa2DrirmWcWvyioz/dsgoeYxRVqbm9nqKEQ6mGYt9SGEVRKPowIu0iYufYHa1wRFolmV6tMjCsCzbXAoRBRihvdoAmFgmve1xoaXc7Pv74EY1WxM0JxjxgNkmM3RYhxhglGJWJ2AnWfUcl7SB/ERReoEICJFIanLAkASYlOio2wXG17/iGLDFSM96u6LzDC4Ee1SyVY1HVVA8X1Mkh+45QzsGaHD9fJqqQvQrlbAs7lQ0dU0ApgUAhqojrNNFK0mJH6EqkTMSpx8U9fVCEtSeeBcQooa3BFyVRaZTf4qeJZIBbj2AESeKnBhElwmriaoo0FVEZkhMIJ8B5kmmhqgBDv+mw0eEHO+pMAMgbWqXyFCLihSEJTRKCclqgu4TrBKHYklz2iURqUsq+SUanLEkLYJZT9OkMdXJEsgGZSgqlUU6DT8RoaZyBcki8FOBkgjIS6pj7ptV4OSEqA9IjJgr6gmRr0miL0AmlI8lDMopUa4z32dS7EQihETEhXCIZhdQGXRQEUYKQBFmihEFoT9A9sjFAIhmH0hZhgb2mUxqkRliFqloEEREMVaiR0YIOCJcQUUCpGHclKRqEiqAcJIdwHpQHHREGhLekYJGNR3qFFIY41og5JCNJ3ZhxL0hCYmuDrEfgBLFUpK1EeIEeJbZ9j7/ped5d8WY3QysNoxFxXBLGhlgKlIgYn+ibCN4gk8LobMvhVEQQiBKClOgoEcaQxgJfg7IaXEJ4kdehpcAsEm6q2BmJtwqhFaYU9NMKtkBvseWIILMHrNJjtNqhTWCJwHeJSMgSNadJjaKr98gIOkliKuh9YB+3THsHokSmTACQSLQsMKZDi4R0iagLYlHjqzG6HhP3nlY0bKVjFwS6SyRd4WSik+D6hl5IGlkgqEgmkqoSnyRBB1wxSN2Gx2lXCIyQ6CHoCgFaWuSoRnpQPtd5UQp6KdEM6wUBVuUNr9oLRNQIFZBFg9pViCQIOmBdHi/SQio0SXiE6DCpJAWFR/PG+SlvLKaMR56n4x2Xe4NuK6IV2Uduv+Ui5LQ+WSbYHZYnOcU1P0E7glZEmYgpoG1ARhB9mT2kiVR9T2sgKEg6IoIFqWgrsL0DEUlGQhTgCpAKPfzXRUlUkqglIRS5BhAQq4i4kYg9uGqLDhaCZ+0SVlicrJFFIFUNupL47XfYe83ZOvHCXvP4s5e8+GzL7QLSZoO5CtTTJcl7VGwwD8bU5hhVauL0JVLskKb5pcukvxoolYCYC3wpFVobjC5eSUbiK4+WAyPKGENZlowmY6TWSKkoAB8D1gW2zZ6+6+naln2zxw+LwC+yT760Gy14xQwYZCvw5d3YL37vVzrN1+QyUma512RUUWhDYQzWusxQMAVKG7yPXF3d8PLlBdZ56tGY4+UiS5WahqZtcc7x0ccfMRqNqaqK6WyGFAlhNOV4jLOOZt/QXF0wrSuKouDoaEFve9q2YbNav1qw/zVuCfAp4UKkVCpPWofyfJDw2b7ng88e8aNPHnHwEsvkt1cgoB5Yc3GQ6sWDiXz6vPwjDwv5udBu+TpNMQQ+b8g/FDjO8cXK+hp4/OjRq29kZIDBdAkSd0DDL2JHHGCZmKCxnvHimNpolFB88PQ51ntGhWZcj7OEcDand47eB6qiyJIaMjvM2rxIO3goxRjp+/5OgqOG5L2c7jaksCkFUmI7n717bMfR0RGT8SQDhFqhUpaKGW0GY+1EURYopTK4NHi4bZt9NpMert2BoYOWFNoglaK1PZ139C5wMl+ipSAHhMQ7IOx6vabpelyIzGdH9N5i/Z7eWcIdoPg5huldMayUQRuDKUwG0XRO11RSEcSrOecX3R2H8eVDxHo/YFMSJQWqUBnbHPzD7phGRXHnNbOYTjKrakjhK8uSyXSKGRhM+/2epnf4AVApCgUij1mj8rVXQtG5PoPUZYHR2TfC9Z66rggHsJBhYA/Ah0gZ4CqLIsuvXgNHBRDJMkNTFHcpfX3fo43JwFPfUwzJgAlyetngp1XVVWYRGU1rbU7MA/R4jJzN2RYjfDmCssqG6b+gj1/va6U1b7zzHm88vM90NmXftFjvcN6zb7q8O59gqqDZbPDO8uZ776CFQA6AWU5OExCzH1AInkIKqrqiKAwpQte29F1PVRU0XUfTtqzWOXl1VI+YTmes1yvW6zWz4xOm0ymT8ZiYElVZUlUVSTAAuIH6zp9QMROeq08+5LO/+CH/5//hT1h1lj4d0h7/AyI1/w7a60d8dHzMe+++ze985zvY/RZnO9qu4fbyhuvrG378wQe8uN6w7yz2c35vrzahcrH+SkL677N92buRDFZ+xWvvvucDLnRcPH9+N1cfwKU7v7shXfWybbkc1hGLxYLjxYLlYsHDe/dQ8vPSxr9Sq2+YtIJjK3lsj7jZ77ka9Rz9doA5dBV0uz+jnZzRlw9Q/vvslyX7d+b8x+9MCPJt9vF7/JdvryiqhDDw7R/vWZnESyf58Y8Nsn3JyP6QH/z0it69ehpK59B9n+cJY6As6LrEpIuc9JEuJXqlEKlCxB2GGWN7n+plQys7Pis2wCVl7xl9mrg8e05bSp4oDc6hrKTYlVi7JNUWTp4zA2QD3XMLcodJkaUa8e7MsTgb8e7X3uHio0/p9xPC+h9yMnGIceKDmw3/7P9k4TryP/otxf4PJKmW1NHx4sWfcOlv+TeN5O/dm/NGteC9/lusVIkal7zTTXCqxfe3PPvsp9x85z36E8OZfML6Jw+wu5LJ6Yz41NG2DrFP3KNlagTGCpra0BWKawf0mxwdVVXZ+8MD5Zq+V4SgGI1aZitH7fO4fH1L1lyXVF4yYUVjDK4sOeo6ep+5co9k4lxq5tLwYTfmuG849S2fnsPUw7KDybMt08ua8X6C+s6CM0aUasxH77Rs1YaeHUcXn/KTK8e/EY7uL79G4wJt6qiqF8R7jnDfox8HYinwY0n5l18jzDf4swvCT2eMSst80VBp2O1OWd2+wdvxx+xGPRdzeM8KXJvYbCNuNMLFKc4tqcrnlLGjtpbLM3AigYO6r5FJAs/5MT8kVZ40t4jrilgk3KmjeF4gbfb6aYuOkY+ct5JPJoEYC2b7I8oXLZqOkXjBC/EOuzjiBx9W/I//k7d5+FBy+j8P/Df/rMVbxz/4Zs/oecX4uuR8tkF9YoghMnuwQV6PiW1J8A5ZNDAO2Dc1crfHFYnrU8/cTSmTRtmA6l/iPdgE5fU1Okb8YkLX7NjferaPdjx4Z8qsqIluwui5J7Fl97ccIzylj+hFRGwjcV+Tzo4owhEyVLhVj2lLlF4Q7QiuJXEXqd/ySDR9KfnwbcfikeD+y5K6vUdKgVR5wtfXjBzo4PjYPGHdFLh+yd8qp4QeWiF58r4gvDAU1wUPrs65TpFbGXljNqPtNnRuz8P7UM5qtnpJ0KC3N4xuP6PqWyIOig1tu2S/qtjdJkYjh1UTtmEG4TPY1HCxJP2uw3c19skI/c01oejoxS3TyxZiCSwxN7f0i4L+eMI5a+gMKUypJh5pA+nGIb6+RZgzZPgm8vZjuGmJqwT3LKm2yGqHeH5OqgLxfou0FplAnRra+h4qOGaXL5Fne1Jo8NctXi0RwmHiJ4h9QShquvuG8kcrhA34xZZq6kle4G5LJs8bmCn8N98lPWph75mkZ1STBkpPe6RI9Y7ElLT7Lkq1RAl7NUXdXiF9T3gAvptTzS1/9xuf8P2dpw8aM3pMxX3KfglBcf3mgpcqwp/NKOSOOllE3yOLRJCednODGyVCYei2b5IKRTjSmD9sKGdvUZoZqXlJ6RaIWLJWDqiRCKbLn1G6gjppuvdbzvZT5v2EbXGErntEdFwtJeneFpxjsbnPZKapqylJaVzwWOHZvSEQ11PEquLbegfLCnk0obx3xnt2RdOvmMdvEieKOFWc6weMnWZqDUbfx9PhZMP23im9giAC3/mDb7H94EOe/uAH/Ff/+ic8eeLZPTG8U52zmhqejSWPt5ewFoiNoUARFyPCPUUavyS1jrROrxYvIiHO16RyhDf3KJ7eknzgphLYexNG+x6z76gqjxeSW0oeNBYTIxFLooQoGVlF25WIwlFNtqQEXgXs2EIEGRylWNHLI2KpkactxzsHveCKKdN7Dzj/1hucLR/wf3j5bYgWu6hpnyk2z2/5+Pv/gn/yswtedHtGoaelxEZN1xXMxZwaqLnCL1uakacPMH4J0hZc8YDJzUtKGgrR06uWroTnM0HR9JRR0vWJ3aZD9yDvCfzNEcQC8d5j4pMz/GpJ160oXgqMgpD2gCfKhB07ms0MQUnFlmIiqJVAXgqm7BFYntuvsbQXjJpbfrr4v3Dz/50z24z44MEz9F5jTEmxH67Jbccff/SMH6ZbxsWWb+h3uVf8LvfMt/mt7yzZf2fN+nf+PRqd86quz18Oi7nDYtUMEiGl1EBnzpXVvtnhXMA6h++zhClT40PeGR/+pKEo/IVA0uuFK3xOnndgB/y89gqoOhz/q9+7kxZqTfkas0RIgRJZNnYwMdfaUE9nnJ+fZUNWrVhMJ9zc3vLxo6dsVrcondOrJtMxQiqsd3eL6d12M8h1BoZYzJG9dVVlaUHTsto8o7N9Nmjtul+S+Pbvo6XXFuSH3eqf/+rD0Agx0KdEWSjKQjGWip11eB8JIWGUyB5EIZIIh4v4+qdmmebdN9KrYScG5k4MpDsyW/jcQeSd5vxO8u49GdgWw8vUAQz7PBPg7nwzKeP1rvjceebDegWifakvRGZm9b3lJx9+hJE5Kj2liJaZJZR9cgbmyCAv7L0DnwGzGDLzKJHodvu71W+MKSfDAXLwQ8qvzK8NMbDrO7a7LV3X4GJi3/cExACqZJBJqYGFMpyR0upOHuWtJ/iYxyW5z3NSWo5Z11KidWbjtLbDOkcICSXFYEQsadp9BjmEoK4r8lF6bje3bJuG9WaLs5YUE3xliZmbGxiT+/2ejc3zRmf7zPAScpCmvX7xvqINsuLeWTb7/WCuPswF8XD/Z4jncLljSnifkzylyMyoEAIhBMbTCSdaoyTst3uuX17ihgJdAEJLDqBqWZR5fhSKru/yPAcYo++YaogMmHW9HeSXimpIlJQIsAcvs5wicgCsMvgZcz9IQbTpDlRXA7vTDAb4B/DFM9wjUlAUhlpJHt6/j3/2jO1uT9O2/Owvf8LLZ8+4f/8+z1684Pb29lf2TxKAtZY/+8G/5dFnnzIe1RkUGa5PGOb5RAaQXZ+92y4uru5+35TF8FmCUmV5aYqJoq6ZTqeMRiNiDOx2GfRXQhBjIHjHarNCIBFSU1ZVZlk6R3pxOVwciSyKOyAqxZiTO43O75OyGfq00hjbIZodLuU+uwMDf8W++OvSXj/S1fUtF2XNi6MTnO9xwdF1PT5KyukR3/2t3+bv1iOEEPRty+X1NbfrDZ88ecau7XHhC8yhgRF991lfxTr+d9h+0ebM4f47gNBy+PtwP3/pvV7f8EqJ7WZD1zRcvLygKDOT2xjzpd/7tZpL7KPKDIOyQbuIvKp4Oz5kNB0jZhXL75aM4xmT2/us/8vE2BbM2yllP2Y9mbCfweWTF1zT8lhYJi8b9mvHza1jt/0J0exJ9YptW1H7xEJEbgpHHIFdCE5vBBaBBUQh6Ep4UQnC82NIESFamoWkjz2uv+DIjhBBcNQlOrHElZabxSVxIhC2Il0cY9QNB+6mMStIEW4KTk88+p5h950FX1s/ZKZqxsdHPBmvWBU9L2vLZPR1jiczZt+ecnyU/UPvFQ7xP91y+/iKJ//8X/PopcbPJpw+/BrfXX6He0pjZp63Ny+Qt/B9G5nonrn2uLUg7G9JbFFvTVh80rD/iy0fhJ/y7NGP2Nwk/K1nHzxlBa44g7TB0/PyPDHbQ7lSXLkx2rQo5UAIvFPEKCgKjzERowJF30GMWKApCvxrSoFVPWItS2xYEd0YujFydc2sD5TB8omArRZYJYi3itYBMaIvK7oEF0HQpSmr6LkIHZ91H3B6JlieQ/94T3QJEwylnbCXe7ayJ8inGOmpvGPdacQlmCanBfZG0pQG1BVK9yglOJUznO/YbT3rucUnS4gbns8DXiViL3i+P0NED9U2BwqoDiEuOTntSK2hu1qwmG3oOsX2pmZmPCJavG2phMCWie1YYF5YZJuYdInxssR5wWrVU7giS3EKCJUF4+hPr7BPDaqXxNRyX10Q5YiVmvMv/1/fR44sT+uGq8sZSin87prZw/e5Pznmex9N6cKETQkbdcNMQikcldvQnCywSrL/USQcBdxMsNIavZeovSRej9jPWuzU4RpHOnNopQmbU27Wj7jebXhmEtNGUq4LnogSX9wibMvyf9iyOjfEsWDmGoobg7Ql3ckntJ8lWCk4mnFzKdkEWL/3guOQDaLtqmWuE3WQLL7/Ar+tuPUV8oFAdx3iSY99uuHmZEyzrLDHDbZoiSReJs+tC7xoGtzHY8p9QxVanp0/x+8mqH3NenuNVQpfTGg+e8SIIx5uzum7FzRty36352tW8CIIrlTi7N6Wxjk2ncX1ZyRjSfI54uk5ynt0uabnEXZ6gjs+o/94R6QmmALr9rSjyH5WcWxr5KWAreWTBwVqVzB9IvFvHxH1Ld30BeLPDJPjG06/9TG744BroH/U8+TUEG1FsZ1xtmoxoYGrG8JJRT+u2Z5IdtZT3zju/bRBNDPCOGDHa4xaIRKsfcUNnqR6xrZheu8eKhpSMaKXlwjpqJcBdy3xJrKP11TziqKWFLbHiinJSuTHiWKuoRKI6gm4FoFi4gScd3jREVTHSIypZmNG/+h/gv63f0lzeckVt/zwnz/m6V90zP5xwer7F4RPVpTXFmwkoTEcs/Ad0fSs74HqCkprsKkBPE0b+Kf/3Z/y7YXjwfSc8vQzbByTQsHW79DrB5h+yu6kp7Y3SN/xsm6w8ZhVnNL3j9lMOvrS8sZPR9wewXYmqJPDPytp7QyvNf3+mq7f8mldMd9cMtt64n7FWlVstWMpHXKvSJuaTbNiM5VsZxojS1oXaLrA/EcGt9jTne1Jq4Z27HHzlg2e2m3xsWftJ5lxbiW7e5fELjJ6lPBaUgrB2FsMG3a7gpvHFTaNSGUH455+p8EPQU5NT9p7mr6DTqOkQJtAfOJoTMCfg72dIFPC6BaXjuhFZG8a9sYioiSJIvveucBsJ3gZp/hRQsx26GYHKdLplig8JEPcLrmaBWSVELsd/s+vaXrDxT+EqRbIVGCjh7qlOhV87bt/i//NP9A45RDdNfut5MW65Z9+/BH9J3uaraMnwl5TNCXWLdgdbZBLR3m1IiboZMFWW6CgjoqyVLQbhbWRqkmMwgwVazbXhjlbjNhw8UlNU2xRyy3lXiBFRGhBcT8S1oKwr5i+PMG5jlBkdvneajqhCCVMvccQ8EeP2e17nBMk+QarxZ5mfMODBMpNiG7M8/FzTIqYpJCyoIqaSYDtv7zhavqv+NPJD/ijP1fM4pgxY/jf/eJl0l8NlPrCWlBKeRf/fpDmKa3vgJzgsv9NiIGuz4Wr7XOiWgwhp60d3vr13c+vYkbxcxhPr+3UftnP6u5fXz4VIYbPFINkLDO/tFZoo6mr6i76XQgwavCOMQYlJEobqtEYpTSIHD2ujaGsSorCYG2f7YGEGFLbFFFkICaGiHcu+yUhCN5hXWa/JGlwtsdZS9s2OO/xg3TtdebXb7bQf70/fnEhL8SX+/OLjJYvvXuCQE7IKrTAKIWWgijAcyhSIqT4Chz83NGlV15B4uBt8gXA6HAaXxwTXwC4Dm/+OrvhdZ+U1z/5c+d0YAS9Pp5+/il//uNeK3JCDKxWa7SSQwpZ9gKPPt4BHD7k9LVDMXxIhcuyMnnn4ZQ9tzPbJR7GwzD2EmkAPkSWwvrMLMmm01mm4WPAWpclYgJEFBySIEkgfO6PmHLKTgwHL7DsV+XiIelPUmqFDhIpwAdHGoAh5+zgAabYNQ299yQSo1E9RMRnP5B907DZ7bIJfsp9ctfPr4F9YgC0jM5peNa7gb2UExH90H+/KFHzc+87jI8DAJ4E+dhFTkhCHAzCM+qTBsln22dPmBDzNUNriv0eSaJrGtre4kV6BX76PAayiXq6YwRaa7OpeowYbVBKDn/y+XXWZembykyrwmTgJsWEdT0MzCsts/QvSywTiEAgDQykDOKqQaLJAP6mlHDDfJwYZIUyz5l1VVEWBZ3uCM6zXt3ibcdIa/brNW3T/lpzToyBm5tbovfs65rS6DtT7TvMmMy4DX4wJd/s7sZ0WZfZNy0lyuEYSQLdWfadpSh3eGfZNy1t1yESGJWZb511pCRAOLrBU06khLMOH7JHkCxLmq7LaXsuMKoqxuP6zmsshsC6KjAxe+IcYO/XNzO+KCv7G9GEYLfbs1lv2G62JJ1BTR/J1O9CUY9qjmYzjFb4vmcyHbPcbEEKNrsW6zKI2LR9Zng6/4WP+Kpx8hrw/AV2lTjsNvw7aoeNqsNc+fOuz5eOMyW8cxkoTwkp1WAz8BuCUgIiCh81RlhCENBL2GuUHFOqBcVbhro5Zrw5wh6dMu0Uy1Tyso+sU8fWRp69vOE67XgmOopbh732tC8cfZHwZSBEhwwlMuT7WheWUEuoSopVniukiFQOvIamTKRaopykiAYvs0+hlC1tVaJCJPUCI/Lj2JnsrSKiQHQSOdFILSgKySSVSK2JowVHJx6zLJk/mHH+aEKtasTbC2aqIKoOX2ypzxdM9ZTjhyOir7C7yD71LMcSdSL4bO7QMSKtR2qJqUpGsua+hXp7Q+86rFnDeAZVQZPAXd/i3IrtpEU+dbi1I047nOtpU+I6uDyfGolxkhglVgicSngRh+duZmemBDFq4uBjEnVERoEMCWMDaIPXmm4E0iakD0QpSSSiyBYDsSiIqcq/l0AlgXElxJywXPcBRKSXIFuJ1wonNQFJnyIhWPah5WikKCeKoyeJfRRYJ1BtICDohaFihxIBKQOkKThILUgns4QpJrKmEPAFKklczOlQ1uf0yZh6mpFABknZJFpbY2RPZQQeQEaE9kiVCFLgpaZIg/dblKiYUCEhg0BUEaQiWYPWHYqY06SMuNtZFEYRk2BPvg6CSDQ9TsxABoRuUWWXWfNMePLolmQs25NAI2dopWhWoKoC6ytMW9CoChcSfbOm8Y6EpSpaWqb0TmNvEv0yYU3CN5HeChqrSY2kW27xRUdoHbpUBFmgNhJ2EtkITBlJMveFs5Y27MC3TNvAvpf4QqJjSUwCFSyuuSXtFGwNcqxowph1NFy7hBY9QiTEVuWkLR+oLyUtEa8tXmlU3yNch3/mWcfASiYWJzWFjCTV08mWtYvc7BxpU5DwpCLSmh5dGkqviK4lpbwhNleSmYPRLmCjxQlHLCJLPWcd9sTUIscW3QYKm8PHYvQQO0SjkcKhCotZW9TSI+qU5bxESJ4gTU646xI2CExISOFJGwn7vPBvQ1Y0uD4irj3OtDi/oulHeBeJOBoBPmmMr5jFntRHVGfppyWtCextyy61ROvpbEe3Ps3ekHLPdLRGCImVR+yTzZtUNqG0x6BBjLh2Hqk6TmqJKAVeQN97jHeEILBDmneyEtFEpMnzQtAdrd8RkIjWYF0kSk9yLTtp6CuDmi6ZTSeE1ZbbTUvpbul9RK2m9JeXhMs1VSuRviAiCFKjRY4lcrLOc6tIJNUikid5ydV6wy6u6foajgIydcTo6Pqeot9BL5B9hegcylkab9GyJQiJbByNtrQE4rUihrzffVtotrsATcduFImbS/x+xcfpmDeCw7gemRK7keBWJ8ZNi2wrkiuQtsd2Bb029MKz6jtumo7rK5nnmHGHv9rStxHve16yoer3+GYLViCiIqFItKToET4hzBiJRgWJEnuETyRbZB9dpRDFUOpFAWh0Tw7Qsj0y5jqtjBFrAykFbJ23bg8hP12qMhtNdXnLWUZ6HdACRNLgJBKBHmTTMvaElJNtS2nBJ3w7JqlElAGpPFdPb6gnmhM/QusJJkli6pE6oeuC4vyY5RslovCwrbG+YrlveDLZsdFb3G1Psj3WQ9tLXqwVaZZtP5Tq0SqBFDgNMkmk0AhfZqsWJxBdQZLZezD5HJilEKitRpw0pNojfYF0IKIE40kI8Aq5GyGER0hLKiPRAV7Q60R5YHroFicFSZq8NhASL2FpZX4/8rMuIYhRIqUfxB2S7W3Dym1Zt4HL25qFO2bxJdPSL7ffOH1PqSGifToFctKY84HtvsE7i3c9XdvdJUwd2AxSysOKfihSc/t3sbD/1Xbxs2+TVBqpBMYojuZH1FVNXY+GHdWID45m15BC/P9x96e9lmR7eh/2W2NE7PnMOdZwq7ru1H272S2pSZmkCIGAZdCGZRsQ/MbwFzDg1/4yht8Yhg3DsAHDlkTKsiQ2acsku5ti951qyqzMPHnGPca0Rr+IfU5m3a57b92JPSzgVOXZJ3bsiLVWxI7/s56BwiiODo4ZTaZUiwMEkhQibdvw+flrtrsd282a8WjMeDTi27/9XVRyeO+53TR454e+iA7iUOQiFePxCGstrmu5XW3Ybndsd/UQwV4UnJycUlaWlAKvXrykd4EU86/x8f2nN/mWuZHa+9ykDDF+XY8RQe0dUhiMgJHSkDIh7mO6Uwbinqn2VW/f80B+XiH8U3fw5WP58v9/Cp71VYypX6HdgxtpuF7GRUHnHT5CJOODp+07NrvtAI7sDyLGCGIwxw8x3PvXiD04dAeMpDQk78UYETmjpaSyg6RUycC4sozKwSPAmMEjpUMMaX37k7R2L99LefgST5G26SitRduBrSL3QILLGRcGk3WtJZUxWKUgl3tGAvTOUakhVtTVNU3XkoDxe+/DnsXY9z2u79nutj+zr6UcJGnf/ei3GFcVpbHoffR2SonD+Yyb9WYfAPBzB2OQbFnDyWyO9x4fIy76e8bR/puP/T8IKaBtgZ3Y4bxTGlbFjSF7z/WLLyBnyqLiwekJTd8Rgse5u0CCTBLDXE854PYJclKIQX6o9UAbDpHgA1JIKl0MwFuI1E0iFnm4XhCcX18TQ2RcliwmE7RU9zLOTCbmTL8fH7EH6YZ7Wdwz2e7M7N/Iq+9ASUFmVBaIPGa12ZClIDL85LvEwK/LlBIDQ0tbSzmeMplMsNYO99Y9xWvYi6SwxT7hMmLDsFhBzqjC7g3Qh2AImYd70KZueXV5za6u2ezWg6w3ZYSExWzBwXzB6ekJhTUYoygKS/SeFAJC2aFozJmQ0pDmqTRd23JwMOf46HAArAGRB+bcsxcv+NHzV1QSpJKIr/Hl+le2ZZAIbtdrtDFs6h3zwwWlLZmOMqHv8N5Tt44ff/GaBBRVwbc++ICPZhP+zn8vYYIj9h3L2yv+5Puf8Pz8kh8/e0Hj/QAwA9ru/QvSG4A37wH6N6DeVy88/bpb/JL88Ou1Oy9MAO96XN/9SscgZoLq1nDQV0hu2BnFxhr+dPac3xkd8Y3yI8Riw+WR5s+CZf3/MkwPemaPa/7l1f+P/ouK/PkhZXnOzDgOTOBlV1B5w2ko+ewskV2gvBZMU0eH4VkuefTYY0SF7A4HoFxsMfqG45eSnYbzcUY+vILdmPjqEDoJqiMXG66f1sRGkJ5ZnnBO5QT9bUE37RCxw5ZXuAeGoqp4VIz4d+N3GB0e0f32EbeLjFE9j/0NH7dfcJlvYbTi74czyvEpLz74FocfWiqvUI3kv31+zWev1vzZn73kH56OOXlqePi//g/4+32gagt210/4wv0Jt+uG0Z89Zdl6RNnxh9/6Y8L73yVMTzhfFyz/6XOuPnvG//dHVxTbguPZlH/0D36XRZpwuW75Z//sH+PjIcppjr44pyuGBKrHL3sujj31LFDeJMiCnBV9v8DaLdK2dJMO21pUlEyEoJsd0s/GuOkzJi8TRQ11VXHQ3jCNCSsqzt8xrI/h7KZnvVXc1iWz6weMuaFihRA9qyqxKYAewnRMmlScbJ9jQkJlyKpibjIHFfxH77/Dp92KT7pb4qcvcd0C7455h2fstGBVFFg8Yezpxp5lqggi4HRH1VfEfoK7nfCJX2NUwAJ2ZQle4nCIacFkKzjcOl4QKHAcpp4bWdKbAlfNuLi+QaZILm9ZXjdkkWGypt5AlUoqMef8yQbXjeDHZxx/+AW+6rmRgutlg2olFol/CClo8vkYVmMkPRTXyDCnqDzHR1ueH4Lre8zzS1JacOolf2/b8U++29F6zexfPMb+QJLf8ez+E4hXCrUVzC9mNMVnxFFN9VBzewmxhocpch0l7CKz7y/ZLRbcmpLdUWSsO6xbo65bNrvfolBTHodL1NWCh92MPzg6Z/sg4+cN7/zoC7ZLQacM7g9PgR6VFGLzHfLxC2K6ps9biiffxhyfIL+4ZvGwRI8qih8eUj15jpmvOXz2PrN+TRF6msn3ODx6iRrf4lcVJihUX9JvS27bmtvrJb/9jT9EsiTKNU1pYbchvqohj2iPLN1BonixYjJvGB9vcF9kXN2gO81//z/5B0xGZ2Rl6dJ75PGGwqyZ/fgp+vwz2vWP6O2GSV1yuq2wnNP0km22oC+H+1iUPPnnp5y6U6rHh/DQEk2PKzZI+SHVZeL0RzvqUY04yegn8J1/plBeIh5EXtlrzC0c/eB9xOQLEj2ri5rNDw2Vchx9e5CTtsazOyoolnNsCVrfIKoT7C4w/9EVV9/coQzoDw3nVx+QXo85eDEjvbtETjKiGvFwtaZJkpfFGL17TpFKhP2Aj6+ukGmJnUr02QlCj5CXY4qrS3KbeBnmTFgjbaSfR4TucFFzuTviWXD4vOXB5Y+4/vG3kGnMN38/8EXZ0qotk80Lfsc2rGzJP/nklPQHV6inS753+7dYzgzurOD485JAiZOJVfEagJQ1/esz0uicXGzAgG1gmiqefPOM4zYxpmE5/hZKbsnZ0RZPcMeXaLXlmD+k3gmavieVf4zTEiMFZ71jHGeEUJFnxxzfXLN4tuHfLI65SP8dV+EH/PkPLzneOg52cLX+ff69dyTHTySz4gnlYkx1VPLkasdqnFieNLwv4GGeEThmpZbUm5Zt6vj47yvOJoonkwmvvplAjDDiECj48T9d8sP/9MecLnpSrGjLMZMLWI8Eu6eCvLa0zZg1E0obCBFwPUXhSGUgFBJbBSIK5+BoK3CjwOpkQ7EtmfrMsfMkOyz2m1cZV21IalB9XCKRSAoERSyIItLqFiEfUaeKJZpjnlM1PdWngm1K9FRI8YBTLkgqcFXsOOt7EnBVFPxnX/yQJ9Ut/+P+hKI8YCwMU59Ajoi2pDs+5fX6liBayioxf/IOT0cF/5u/fUZ/ZYirlvTiY14sDZ98seT/+H/7x4TzwUfMlSWHk0BpIl0QrCbQJknz8YSUGiDRbh7Snq2huiatem6ah2h3yJRbpBbkIrMSPeObjGkE7gpmboTCcukcMEbYCh48Y3aRqTaZZ1VmJS0mFNgteDHCjwxPuleslgdsNo+5KM8RogXTUvgC7yr6YKmqC3oGdld73JJdhhrIcJV6XqWfL98T+WuiQG/HId+xhqSCqiqZjKeMRxOubm4HU9k94yPf/bz1QHr3/l+k/TJeUG+3wQ5I3qeRGbNP5TGGajxmVFXM5zNSGorCtm32XlmasqqYT6dDdD3QuJ7O9ezqhqZu9sUljKpqL/lTe4aCQGpNdoPuvWm6vaHwkMa12ycJuhgQQiEQpJgoikESaMpyMH+XkpQyXdfQ9T2b1YoY0y/fl/v/S/EGmolfwVK6a1IOLKk7VtRgvCiIIX8ts28pBcpICjn8aKlwYSjMjdF0PtK5uxX2fxsw2y/WvjZT7yu2fZtBkXKmMgqrFaPC7k3bE713WGOZjEY8ffh4z8wa2HiZfM+wuxu4zCAfhcGoPcSw95LiHjSUgN57RN37IyEorEWbYeVhKA73ctl9MlsGcoxopRAZtk1zv8pglB0ePAGkZK+oojIGowa2TogRowf2TtgzvULwvHz5Ap+HNLsPvvHhMP7e413H+fUVlze3rDa7PQvuL8p/hBiksn/4t34XazQC6Lv+3sT76vqKy9tbLm6WXwK4v2rccs5Uo4rHJ6d88OjRm8S6vGcx7dMd34zhXUE79K0x5kvoWcoDmybEgSFZjSqautkz3gZfqDtPuuiHsYo5D2mHeWCtCTWAQlIIfNffS5cH2ppASkVpBzm00ZrlcknvenzwHMzmGG2+5OOHAKEUeS9Buzv3uGdb5r1X2F1/CymQapgv1mi6rmNb7/jhZ58OLK79vbD1Hh/ivWT057U7JmdRFFhjBjbtTzDZ3jCl5P34DP0/sNmEkvc+cjm/AeJTTPfM0ZjeSH8z7D0O94md8k3/D/sYJI53RMrMIM0Me7aiMRr7FiNm8PWCvne0bYfI+8TLn9IBfy3YUvtDVGoA6+azObawe2ZwwZMHpyxmU44Ojt5cT2lYOAghsNzukAwgtZBgdYEQEu+HVeveObZ1zWq5ZrfbcXl1Qx8DISUQGSkHKWqOA9iY9qy+u/vYnczu/n5wx1b9NbRfWm65P6ZfBty6a+aDI0Yrz2gdiIWkzwW9sIjfC3x08Dt8a/Q9/vjP/hVdqgnS4c41QkdUGRi5Db0paIqSdHOO8ZEiCm5HHSMP807x+qMK2oy+9iTZY/yU0h3RvHtL8hq5HPNYt/S55ya12CBwKrK1DhmPUVFiY0AfB6KD7kah55EkIz555pPEuBTMJ4rXx3MWwfK9lWb0rW8ympYsikRdlri6pP18xuy4QE814sTg7QWF7jguHKvrd1hHzxfFx1z+6AVl7fiOsMwOHyHLCmcyvVUoFIe+At+TvCPsNnyy2LFLiuKLp+xevqIJN9w+fIHczKEviV7y7VXNIQb/7rexaosYO5pvC5bXjpuLnj/5oxVKtaicYDNC2hqkQ7SS3iqCkihfcMgWK3peFopilrAmYS8jXlgiCpsS/UQSSoHsI7oDETLtLDLeRKouoyaKzdTQFJrFOtCmSE9CjyrURmNqxTEJVEcwPedHkmgXIMeMX14y9p4iR64/VJRxxtRN+Y5esyojSxt5/EnghVZ8Xih0NGQfyX6Yo0klsspIJwnR4rJBH6+RQSP6AmcbZkXBcTlh8/yKJmd2VlKWGuMzph9MxrN0CF0TDg2pKwjLEdXphqpPzG4zLyeBhMQEw1nrSShqU9KPAkEXBL2g0ImsG5y9BQ5QLdjrjiNdkVOkaVuaM0O0iYwjvjpD2Uj17iWdPSXuFOITx7cELGYjxt98wMX5hj40yOqW6txwNj3k7/6D36dRQ1DLSEhyfYsUPdWBYHl4RBaKg9sd/UNBQqJ+aEhzSZCC3Vpg5jNklUij5zj7EOkqFp/WmKZBxYApCtJZIpcZvTX0qSJoRXjSg5ZEqbkVY47Pl4y2Na7Y0ZcPSXJBuUt4bwgi445uKKoeqzKjmzl6mDzsbkriA08+CCRvKF879LXj/NU1t+6AXh7xt/7wA1bzV2yrK057yb/8b2r+9b/Y8Gzz3w3hAwZk52HqYRIgj0jRU2jJ/+p/+r9kFsG0ntfiAD25xowuePZZy5/+yTV//CcXjMc3MJZQaR6+dDRCsTaGI+/ppKTRmg+nBd/51lN+//d/C1SFNBpZGF6NR4xfdRz/cEN4usIdCtoji7g+o7iNjC8a/JNMFonsIv3hI5TLFJuWm6Qpxj2L4zVXWpKzwIRMFRNRJmodmV6PEdGQpOb12ZYgO0xbk7bvYWvJwWpHmq3oRoHbueJ4a5CxpMkHjEWBlZnCdLzYGELcMlE/xFbHUJbEecH0Yw07Q82E7t0OZXsONzWdhdZIrsaWPm0wnePxF4n1zJKMYeJLzh+MCCU8rDd0vuDVq5b/0//ujxl984bqwHHQT6ldR98KuldHZOdJyhPfXXJwNaHoLZszQbXS2FaQCbigQMPx05p5OcboivM4ByLIgC+bvXRKYFkQwqCYCHKNiQGdhvS0aa+pgmZjDOXOofrAZw9GILbktGOz7NBOoZymDzMWlWBRCrQscaXClYpSJbwrCN4wt0uEMCQs9XxH3GjC0tCoipFtGRctGzdBqozVCYtHbXvkquOVXdJ3Gt8UPDiq2aTIVQ8nmyeooCHCrrzGRYFzZiBGzB0c14gvTsBG8kHNw1c9QQhWlSE0BToaCgoW8gaZBTEWrCuPUxGnHGm7wCbBTDl2j3pCLIg3Cx6FQCw9lyc9T/oW4TK72hByJmhBX0oeZoX0ibrp6FNJkhKKxDgcUEzGFB8c8DhtWRQVp2e/xXu/r5gfjzmw7xCbHTl70igTSg2dwHwcaB+siUWP9BHbWEIPF02D3zqiTzij4HbJZtnxR58mzosVW3bE2xUf9IZRNPxYFYRQkFNC5VeEbkyOhpGt0bJDi4BF0CWNlxK9iPjmgNSVTPtbNjbTmcyEjgOnqaJiq3o2qaRJBUJYJqagVIZdbil9wKTI9aEetOGqG2SBtwKzkfhKIkNA5MDuaUY2CrUzxG5Onjry1OE+Xf3M56Rfiin1tmwr50wIgb7raOr63pz8qwzK307j+yoj8l/uWH4SgPry59x7RBk1AFLaYuxQIGmlqKqK0XjMfL6g7Vp6OXhraGVQSiP1kA6o9ilvvfe0XUe929K23cCQsBYtJaXRe8neYHQc+p7Q9UTviM6R7mSCVmPVnv4mFDG+8bmwxg7Sv6q6Z670XU3TtPRdR9wnD/56VpffSNm+znb3q9tvKTB+Xhs23ce/p4F5kvIwh+4Kwze6y1/k2H8z7ev06y/V93ug4S497w6sUPf7EntPoeF1LRX5br68zSSEe5Ppverq3uhfq70sKueBfSMgh4DIg/TLaLOX1Q7JhgPLKuFj3BtzD/ux2iAZQKYBWAFjynsATCl1f/z2TqY70B/vQQwF+OCIMQxgh1Aoa+6PL+eEFANj46eVnG/6edje743JpdgnFEqBkgprNEp+HevtL+9zuOb2wNdd/2dxL2PkDoRF3pvISzUkDd6NY0qJKAa5313QgpB7Cu2ezXXvF5UyMkuUGNIcExkfPUIMhtpWG3rE/hpP9wV5Fm96SQrBaG+867zjzrxfK3WfoieVQGlz7wuW7sAeKUlpHwaRhjjcgTYjEEqjlKYwBslgKH4neYop0u46wkD2e2vO/vy+zjnTti1N8/NTN77U7m82b0vlvlom95NAVx86fn7w7Nuf8Vai5NvfXW+dp5ISJdUArPDV94B/24DULy0b3B96TJG26+j3Ul6lFeOqYlRapJSMRpN7XziRB2Zj7z1N06L03j9SScbjgrIo0VLiUyDGQNs7VtMVu82Wwhi2TUsfPCEFBMP3mut7cI6AQOU80Plzvpch353W2yDV3fEPf/vFzcd/6TH6NQBjRZYIkXEiIMSYlDU5S4QvaKLnMt/y4vMrklhhqpro5qQ+Qx2ZRoOaS8RIkLLFi0zUkiQ6gor0RcSGgdEqbManhNERTaTvCqIT4AO99ficyEERRSYpwAjy1iBzorAdVI6YDTEabBsoSsF8Ypk8kEwnktOZIh0sWDjLmdJM5ieU84rxJNKPevqlIH4hmOcCiWIlQccxNmVGccPL4Nk6R97saLZbfNezNQUHlWM2LZgUBT/UPb6PFLeKVe/o+5q4uWClE60pqcYOOwoElwcPvQ6oA8q3lJOKyWhOdXhIDJFGRp5dr2kvtnSXgbwrUeMGpSKOIaVMJkgYhBNoJFlKhq5JSBXACrIB7SRBM3wJC0FOkeRB7SqSiGQViRmcyCATUmXIniJE6rbAS0EwiTQKiLbAU9ILh5YSJGSZIQZECPhK4oRE+kzfZFItyFvJct5RZ0EvJG2WZOGxqqcWh4OscC8yllHe22yKLFHRDP6YKSH6iBxHpAYh1KDTIiKVQERJygIvgKInEfFIhseQIWodmRFyEOAIBkliGQWiFCSR6WUYJEWAqBx9NAhn0KEgTg1ZDc8tcmcGdrfwKB1IdlC8Z90PYGjIkDTCa6KJzFXPtEy0dsS4Tpjg2c1r/GhEKALC9eS5RGiJdQIhLDJrdJcYCUMyGmnHVGEwMo6lQdmOLDOqLJCyIEtFmCyQwpKR9FWJMO1eIjRDyhZEgsmUMldkIQg7Rx5ZQqEwhcMIiU0F0mXSWOBHgVwYzE3AOs/4cIMWFp0NeuEQelhUUr0jjkrSaIykJtcloTWk6gVlEpTZooIANyyWWJdRzpN9hxYdySdylGQtCUmSnICZJHuFFIotijL06K4FeYLSGqsV45OWctpjRGTUZUIZ6fUQXpgTmJQoYySgSFlTH0a6MpM6CRqE1CAKyHFIshuDnWiSlkhnyYeKlCNxGyhzQbIRPwkwq8g15DWImSNPMnGscRhkSIxiQFaRqDXJTGCbAUkaW6waD4uK456p6qm0ZNpnekpCDqB7cmlQ3rJwCp0sWnqKYsvx+CHOBWIfSWkooq1UCFmCLjBFRV8KhJEUtiUKQ0QwEYKZVhS6ZKYq7LQlmgw3BYtgyEFwrKZsi4rtVDISjtxE6hxZL3dEMjkrpIoD2Ct7CpW4u6VY3TCSU6ywJKWJSeC85/qzDatJSzaW1c2OlCNZBdzBLUVv0EGTxWtkVsgsSDiM98gUqSeGqc8UMbMaZ6o4pHu+RjAGqgSyyXgv6VMimRW3tWZVK3y/Q4hhMamtFPgC4S2T3CAIIALbB8CmgGVJljXaNmhTk9ZbpI4I48lZszCGo8JwGzMiBqoISWiIA6g/kgqhE072IO6Y/IlkBxsgoibFfVLe2JPUACxLKUhREpIaEiPT8DytigotE0HEvcQsQtbkaBEiIDHIOGXCFU71SNvurVM0jSgRMpBMII5bum6BDpBjoBeaLKHUniJDbCPPvr9B9lc0Y8s2TJm/N0MVkGcrqNcIMtIshgXXBuJK0h170iighKUQktHU8mj8CLltIARyKUkvptxe9zxPAe0su1AQCni/lhRO8KIPhNaQk6QUljQVA+Dr4/7ZX2BaSVtIohVolYkikITDyA6lhoR62SlCtISsmAZHuzdSNjljSEgR6DqJFR6pehJHKDqUiCQhsEJQkVgqOyw85owMgzxeB0EdCzIeoX++muWXlO/l/YrmoKt2nWMZM+Gt5eOvW7j/Jh7k3zYqN8ZQVhXjcblnj+jBvDD4waup72mkYNMORXdRFrx7eoYuLG3bcv7qnGfPntF3HS44SmuobMFiOuXJw4cUZUVhC3bbDW3bcH11TXSDOXdhNN45Qgz0wdGHQbJWFBOenB5SGostC+RoBsoMK8zbLXXTcH17S73dDYVA39/36a9L7nAPCn2N7b70nsybBLyv+f4UI9JojFKEnAapWc6o9DUUd3+N27331/7HaDUY2seIQiAFA5Ak5cDMU0ME/ZfYQjD4j91dc0AfI3duLGlvWK7VUGTcJb2FEEAMf+feA6pH54RSGoO5LwBDCPfgkzUGNZhBUWrNeDqmrEqEVKzWG9q2w+6ZUUP08B4QEILxaDSYRqeBWSSlGmSBgJAKqwxaiiGqVlhkVbDZ1QMz5W2k+ydayhkfAldXVyymU6bjEZU2jMqSoijYbVbIrwuSpsS0GjEbjZmPx2ybeu8rBWVR7sGJYcTurrU72fF9yqfWGGsHAN57snMYOQQ6JB8YlSV3CY93UjkAjEHAnvG0T8HLaZDpGsO4qnB7CVvf93tvqEjTOVxwhBT3hukWyKy3G5xzSCEoRqOBQckQOCEAJSRlVdJ7f/83pYphXoT0FlNyANTutPu+ifR+b6i+fzgQWkJIiMyeVfb1gal70Ojti/2tt//0e8Dbf/jZINDb/1Z34OxPfMBP/5h8778lfgLgervdgbZ/k5pSkrIcmE5KSYySrG6WbFcbfvjxJ3QuorTm6OiQxw8fcHQw57ffe5eRtQTvefXyJVevX7KtG65WOyaLBdPZjHefPuG7j55QGUOKjtcvX7FerViuViw3G7a7houbJTEO96nKWqpikPu1fY/be8S1bY+Pf5GVexfSMPz7y+2v6lfKE7tmW2jqasRZN6fWHRtd0//pE54fXfH88AUxeMRhT3rQkesWlcFkuLipiLsZflkCDxEnwMNI8VkPZU8zczx8XuMmsHsA448zrtyyfFiTXr4HxsPxisttQu6JoIfO0VaZ7kyRVh2lC5z1PZ9tM71704sP1ZQ/HD/m7HcK9JEmTi3vx0yzUrzeFnSvHLJVjD+Y8ngTmI4M8X844Tic4MOSV90/4+r/MMXf3CIP/j+Uv/UNFvaI/2D3gPjv/DbuoGQtNc/jFVw2nPxnnudnr8jTjupQs3QdbR1ofhT5+OKCcqb4h48180eCwixQZycs/8M/JJgxs6t/zRdNxU3f80n73/L9P7rm5uVg5Drve0TIpDxFH2aKImBWn9G6x2R5yHsisqOnE462XOFdJsWCykPfOLxOpLJAZNA589A5lmnGVo5p+hHGrJC5hasTotkRihY8nB5YxmPFn7+EnCdIXcFRjwE0iWW5xk0docxUNyVkD3JJ/ySR1opupTG38C41T4stV6LgonVc9B3nVJQ7yXgZiVVD+in3J6V6lOphqQl+RO/HlMtMHWDpa3gKxhmqnaF/1GM3Cfsqs30iEb2muqng9X5nZYBrTQ+8LsDTMA6Bwy5x/W1BIMOmQ6xLZO8p+hX9SY/px0xfPWX9wZIQNX1/xrNco1SgsAVcAwbyNJFH1xR95tGPJNfFNV2lSU8ss9yzCBL5wxXOThEiUH8CN9/6CPtogX5co0/fQXiB/Pg56fQhSVnoGszVFC9K1mrE6LNPQazYHt9SVRpjK+yjM7h6SeojYfWI+caRRMeLjyYk6dA+8vDFiO1DiZ8nKiwHVx3l0iF+tGX3KBEXlvejIOkJaSSh3VLNJfak51b2FHpDsW4ZN5C1ImlNf9RgNgLdSiaHFZ05I7iKGX9Cd/g+XXVAfv05c72lEhnx9JjTl3D6eYl4p+Dpo2t8f8XNHzX0ShMLS3dQYRpFsZT005q0LHAryw9v/yU5FbzfFBzGdyjjlDJnBFte4TgubzmeSGKn6D9XPDvpmbSBw01AC0GKJV0+In73PWz1kPn2MbH5jHTakA4VT1cWUQr4XQ3qKdUGqs8j+cML+iOoxwUpv4OVgbFaQvOMTlesPjgijq9BRnZoelFg8oRUHuKuHDJJDnSBO1sT9BbHDQ8+HyOKgv7phPE0o0dTVHxKmS8oxj3pLNHTkTvLwfUB4vng/N89CEyqL/DbhuWVZ3XWUxSK924KvGyJhxn5zoyTT2fo1KHfWWOvK0yjOW5AFolQaJbfeR/7eoXZeeLC8PQyYUjoJxa5PadbXfBteUn9OtFj2YV3WOcOLxxFeTvI83Li0Y/h2rRsRcfo45ZwsCGeKHaLOeZFjV57tkUJAYzL/JY0hNzTy4aXpcC0HtUFXFUxDhWlN3S8YiSgEgbbnHGpW27NcD/qjwJhEimeFywcTCN8XoB0Dh1bNoeCeXXIWM05/9ihVYvWPelKIs92yMeB+Y/fR8clQi5pym8gfI1ulzRFS5hAHkme1plOCNYoum6B68DXgfwYCiKTLlE+f0jQnsrW6Kcdu9hy2WwoNyUKidI9/TuOHC1pNyfHhuwTtAUrC7mKuFNHrgvGruZRvuIzHlGODY+eZg6uHW0H9IqOCi8tS0oOnhdDwrhNRLcjNR770rIEYqxw7oiiuAQTEHPJ9bWGtkLIE6y9whYt5binUC/JecLUvcej9FvIquOTB/+C937899i9zPzLdz9h/fnHGATf+Obv8mH1Xc6qMe/+exvGE0mKLelVw85uWfqWP/14zKNRw8HIczq3nFQHnH6keO8fBeK/nOIu4FY8xm0+5nb1is/+zY8Qj2qUkkxflxz/3hQ1E/z5f3XDxTuSXWno/ljjxo6kE9yWmG6DjJHlaASAzZLN6YTNymDqzLdETWUjUToe9huuysxFJShzyVY5bkVG3oyZ5YYpmW3OTMSYUldczGryyCCspXgOVeewoafBkFYVefnzn85+JU+pnCArBuqMHEDyO4kX/PSi4VeV4735/Q6k4d4ouCyrQb5hLEorgvfsdjtyjFSjivm8RAqJ0SXluGI0ngysEm1wuy3r7Y6LV+f3EpvClpydnqKV2ksYEzlFsg/EfpAqRCkGs7XgKVVmExy9D2x3w6qZkBI7rhgzMB0SisnBMYvZlMloxPntmtVqzc1yyWa9om07uq67Z7LcFXW/joLoy3vIX/HaX+z7O7wg5zfv+fotk5LAhwQpEPPAyLnf95fXwH8j7S+b1XBf/MeIyHsJi1B7xEkMl48UFFbv/aIACSHszaqzuDclTxlGowqArutQ4i2T631fZkDu2VhaynufKh8CCRAx0br+PklOSUmOw1iklIcLm4EVUzcdbedAQIxDkltKg9nnoNDmHkwKMb0x2JZyWEWOkdJqpLbowg5+TCEMSXZK0nYdTdt+Zb/djZEUAq01R4eHjMuScu/BJIQgp8TBdMqmblhutrR7QPinXitikDFaa5BqkPNmNWyf9tJadZ/k94ZxKb/EjsoENxj6ScR9oIO4C3y4M2LLeS/DHM7FWnvPdhJyGJTEkIQnhKAPnhwzIg8m5uyzFK0eJJtCCozRaCmx1u5/BvP6vnODDG9/P/QxDLI2ucf79iyvIVkwvwE58wA63V2FSg6Jf1rpe4PxYTB+kRn/1eP45Rd/9vZiP1Y/a19vM25/Uvb58+TNv0wy3K8eLPFXr8WY6Lr+DSMzZ3aqx1pDUZSY5IZrw/dcv37F8vKCH//oYw6Pj5iOxxwvZjydjFEMJs9d9HTec/XyOc9/PHgwLeYzdrsdKSUOzs44OjuDlGh2W9re0faOm+WS5aam6Tp8TNx56R0cFoOJcobgBxZWTAnnB6P6+PYcvWt7hqF686X1VwKo2p0PYdSQaPMNOkQOcub14iVmrignmo0sSeuC3CXGYUccF7hpBTNF9pLsHLa/JfaOcDncL0YNTDpBegA+KtyVwutMTiBXglm4wKREsQw0PhEqSHPB7nXEbUfw/AD5cEnynnYFH5rfQxyVhO9m3mlmNJuG//LlK773wwMenhreORtTPbDsjgUX88y33IS+0LyYBepVhX+55uo//zf8n89OmM0Fv/cgIv/gHRJPKY/HzMaSCo3pDOd6iVtWTC4f8GhRIV2genzNWbLUS8PnP5bsDhvyCKZ//5Rv1wUIwR9PJ/ztccV0PMKdndF4wa5d83Lr+eMf/JCL21t6tSG5hK0yroUkjpBKU+o16saTEDTyMSGDkUs4aPCdIDo49Y5VmlILg2SHUAJKhS8OyLeK0CVWZ+cI0zASgXpt8dYhaRm1F4AkS3Bjx0X2FK3gsRaso2IbFbzOeLEjzFrkwQTRK4pNz95qDxCMKCijx3rP2hh2seQyGWZpR0ZTioLtKJInihZBd2OYiMTMJC4mRySTQHvMTY3Y09MPnacTDRsb8a5EiEhpPYsb6JDshOXsZY/ywzGMz0+pZc9Kb1DHJ4wbz+J6w+vjQ7zL5GVHVoJuBFdHgnRjyL4idFNG7hIrNbY4Znu9w4bAnHPCqieGApMtRq+IMlILgRcTlA8cXq9QaUFKBRdYRH85rNa3c148dNSiY7E6p7NL1t7xRU58q1zxnixR7TdZvN6C8OSpoWsdwmdMa8nvrFF2zXg5pjjMZGEJPmAbkNqReUntRngKmL4mZIMKmrOdxG0iwjk0z5h9BilLcq7odMZnqMwYW/ekHGjNu7TzG+KsYXZVIc4VXCd231hTKU9VSkSYkjcCoiA+eExWW/y0JwpQq56iE4THx6h4TZleMj+YEh4c0RcLeO7wFcRvWJKMfHKz4199sqS3FhEiuu3hcso4VcxSwdVFJjqwVebRg29wqBRln5BXVyjjSfRMW8MkPaBSI77YXGJiR5F7MifUqIEph8KVHWJ0yYNXp0w/2BK+fcOqmaAKKLVEHU6QTYNa3RLnDpRAFoJ0aTHJoH2JKl4gsyB7hZpHyr7H3mzIkzFSJZSOxMOATi3TekteXpNMRTh5iDcbZNtw8Drij2qEKFCvT4mzLVDDwTmi8igiJ7eesE7k2CHFK1AtInjMMw9Pj5GHM47tmPmBBqnwWqHVDpk9qUkkW5JigFVDmDwmYWB3AbmEVjC5PsdlCGVCHmxoqikyKQ5w0EZcI/kkHVG9qyjGmcOLc0ZrQxcF1+PESRMZ+4RTCbxDC00xf8TOCbplxMdb1HyMnRoenjdcTz2tdVyvA90i4kYZFwuwkIKkdwtmoxYz37FOULQl3ltezm8pfeAgJl6bjF5n7DIj257NFFZjAYUgbSRiW3Bw6/Gl48buMMYjxUC3LMtA0pCEYmtuEMqDHBhayWTySPJgWxK6Eq/GpCRwZkenN9hiTQqRJnkeCIsuImYeuOl3hBiwXYcSBYWCiSnp/IwcBRAxg5UZOfRgM9EEIh6wVHXFyfMjXgdJrzquTMB2N8geVjeC7cqQEqAzHK2RUWGagpopUiSUuAIR9uoIgfNzQGDtDaNRO9hcfD5msShgHNhdvaSfeXqVobYEIUgm0o6f80PzkNImxq97vnjSMZ11fHe04ya+S58NfRHxn77gdaP556rjm79jOTnQHE+POazGLFLmIFQUzQ65Cnjf88luTQqSY1MR9Yb8FGbyjMz7zMID/ucfWZqRohOS1XXGP79i+0XN5vi7nM5e841py9k/eMiyO6DvLA+uXrG9uWFT73gmeroCvJLYnST4MRHNubU4AUnC7YEhJChrOHaOTCJIuDh8SdsnsiuhN+wU1KpncetwO403GhI0TKiFJh1cYKPH+J9vf/BLg1L3ReFPUG5+OeDi7ff/9Pf+pCxvWC0V+8Q8hTGasqxQWqOVwViDk4q+dwM7RBvKohiKMDEY98q97KVrGrquo2satus1SUBRlIxGY6qqxOpB+peSJ94Z7/YdLiZIcSjAUyLmeB91zp49gZRkxH3R3/me1nms8wjlWG+2LNcbbm+X7HbbIbHvLZneT7Kj/jJ8S36Vj8yZe4+hnOO9LOqNTOYNyPjLtl/UK+Rnbf/z9vOT7/3pheobqRgMMfJZDPKzL8kWGaAkJSHFNy/mvcfKwLkR99tJOaRTDvLOwX9nSOu7fyN3kkul9nMvZ2KI9xIlnwYvtEGCo+9fv5MW7g1dCCFCDmSx96wSQ0qXzHJIkcwDiCKEIAdP3IOYgxdaJMQwgDVa3fvS3Xn79C7QO4/3nq8a+zuWklaKylrmkwmlMSjYH9cA9FVFSVUUFMbQ9kPZ97PAA7E/DyElWg8CBCHlPVi6//B7+eRd6mPOAy2VfX+KPSgu98ycOxPw+0J43y93wy3f2hcMkFPaD3DMg4xSxPyWXOnOX0wAA6CklUIKidSasipRRuODp+scUsg3OM5+LEMIQ6GzBx/f7uc34I1ApDykvuznldz7hg1/3qc0csci+/W2r7revi5U/fPui78I+PR17iF3AN79Qf4ltl9XKEgIg7l+zhknB0AnxIQQihAiUia88xACKWd2nWPXO+bzKUVhWIwrKlswnxiWu82Q9ukdXbMjpcx4VO3Zy4aqqii0QgLjQtP7SNP1OO/YNB0IyWg0QqnBYF4pRU5DAmgHwwLQnomp9V3ui7iXqA4eY29A17trj7f+/5cFK7aOQS4nATp0FugkUHJLkSxjX7A1GuUzuhGUAbxSxMISigFgJieEqBGiJ3cOGUtEToiQQQlyEMRmSDYSMaHagM0dJmY0GRUgSUWcGDqhiXKEtDOqk8AoOewocjw5Ri4s8UHLo/Yh1zdbPm5WtGqCz2NKKrKxhCKjKodeB1rnWV6EPVCxpnu24tKWoCvmfoY/MQSrUAePmPQbbIqkcaSrdzQ7h7uaUcUOkxp82lJGS+ot/a6A455UJBo9prDDs9fzTc87KLwwNFvB9eqa3a5me3nL84tLrla3iCIyCeY+FCMKA1JRyYjpAkSFEiWDy1OiMwHvBVGC8GZgAStBLhQagYoQjAKhSAhqZbBFQMgetgEhIoqIlhGRNTkrepFxfpD4LUqB6h0i9KQ+ocoWaTuCOMCEgHJvpVfmQSqoyEgTsVnhs2CdNNaByIIKST0LRJVJCFQUaAkqg6bAm0CsAtxAVhlUpugjSWdMmYn1FEnGCo9uDUIZotGMnEAmQUAgWk1XRuJkkMRJKahSxkiIAkIWw7OATrRTgVkViL7A+oEhLQXoNLCApIRcemyXyCGgc4Niz/rOgpg1OkrGzhBzSa8sdWGoOoMMCtFZ+iDoikicBIRoycrjJoKxqZmqBpQdnquFozeK6OMgF84KYXqETWAFfpLJUiF2irizpB5Y7AhiRBQCE2pynkLWVD6h+wR9RKoa7Quy14SmoznSpFIjJgZNgwqBLgj6cSSagGgU4loga4HegooSqaCXBSoE6CH6MVn0SNmTdI8MPSloEpbEkiSWmLEhVYZYFIhlhlEiFRHvHbu6ZbVsSVIN0e8xIVo12AIIELue8cgwX4w5ns8ZC4XSEX27AemIyqGKgtEkM19IXrxeYlM/LPaHkhwlnkwvDck0iKqhage5YDjsiUWFjCB6wBpEHlIUcYmMIo0ULgiU0xSdJCuHQEISKBIyBkTbE8vh+VCKjMkBlTTSZbL0ZKURZEQC7QTlVtMcRhIC4UbkbkPWjmy3JKMgJnQMmGYI9HGTjjySyKBJKZC0QVSWyo6oqsHftcZjrESFiGy6QXUgM9FJGA2LCdl3ZFUhU8a0O7pxQSgEthAkDyICDsiGKEvWhSKPFKJKTJRH6L2VhpDYFLAp4fReUYIgjgx9C22AXCeyMShdIpMnW08YRdo+4K3CKwlOIcn7xWlJUAFfdEivCUqRkmCrA0VIFPtnvOQz0WeyjfSlphspRiLujYYlxkn6DF3IzEVPEoKEoJQZFxWuE7iyQQRBThLjamLUJGFR3pJFRVAjvPB4oUhCUYqEFomYwTqLyJmoIkGAkAktIl56coDCS5poSXGQlolGokRCpEEV4HOkDxlpEqpTqO0YSUeSgk5KpGlJZLpW0vQagaSUGpRDSU9VRLZ+AjlR0OIwgzVFEiSjEUSUaCkIpCRpO4GdS6SJJN3glSRKiZeS4AVJJJzasExTRlEwuoGr+ZbWZEa3W3J/RlYQYk3Xg9hpboLg1Rc7QmsZnz0m4zEy8Uh4uqgJsSS7Ht91BBeRsiA8FDAWFF0m24JSSQ4ODqilok4SUwpunnU0jeTwyTGPxomjcsfpfM7l9RHNynI4vYZmgguKkUzo2YCxznYFriyJUWGSRsaMBzoNuQcVQOc4BP8AUreErGizxvYFSXqy9CzaBHGYYyIlPAIvDagtRiZGX0PS8iswpYad7wPCfoJN86u1r/IMUW95uSil7hkJWmtsWaKNxlizZxdFUgwUxZTJeMrp6QllVWCtpSpLEFC3La9vljz/4gXtbsduvaaaTCmrisl4wvzwkLIaMZqM2F5fU6/W9E2D0RKjJVWh2a7X1F1P3fb3RsMZmM0WTOZzjg6P8N7Rdi2vLy+pmxrvPa53fP78xb4bv1z03qdg/Q1bkQ8pE9gnL6oB4Mjk30iR+1et3fHRxJ6FY4SE/AaXEgzspBD9PRipsmZQTINAfakA7ruW++sv5/tES5HSG3ZJTgMbB4HRGiEEUSV0YRFKobzHx0RMQ5Le3YUrUkRreW8intOgsbwr2NMeqRi01/vEvzvILAakGoDeHIdUwd55XIiIAowertecEjlGLldL6rbFh4iUXw0I5JwZlwWnB3OeHh6QM7gQqesGHwPORRbTCVVZUpYF7OqfOx5t8PicEUpRlOU9G/DOxDjDIIPYg1LGDEbiKcQBmLvrmxiHL3Fp9yBcInj/Ftg6nK+8B4SGfd+B1jElQkrDcUtB8AHvA3kvpUQMrDchB6bTUHQHslRIZSlHI8yowjnHZlPf91eOES3v0gnzkAKYM0VRoO5T9gR7USgiM3h/ZYkwes+UUm9AKQSFMcToiHvD679p7af5Hf7EVntwjq8tf/7r0tL+WnbOkfNu/6qgKAuKoiDEzOHhAWVhKSaZ81fnnL98yfmrVxzM58wmEx6fHHG7a1BS8s2n71C8P3gsTuYzcs5457h8fcVmvaHre1rvSVISU0JYgykMMyX4zgfvM60KJJnn59dcLVesdzvqvkNJhVSK6ahiWlWMy4L5eETrHF0/LPCs1lt2TUv/VmABcA8c/2W1zQmYDmwHEyFQaMiGyWXN/Nqz0JHLkx0T4MgLuBWEWtC3cP3Bmujn0I9xDx3EiGwFZt3TlHAzF3z4ArQANPT9nDI1jNgBU7bWsx61nGwqsFP62SHZGPRjzejvan47fpfpOFCcLkkt5N0Ssbwi/Na7PP7eU779P3iX22LCVHtKs2InE/3OsXuZ+Mff/zFXX+x49v2axd+95GB8xHtP/jb//re/xclkwiIpCP81q37Hi+Wc/NlrypzQp2OqFytuPfw/qjWzi0umdcPD85azdx+xmI/59u884vKd3+bF0vFf/u+/T/NbjijXmB/8kE+BpAzd9JCiXmF9yyi1bM+OEZMjkFe4lSA2AIJGLzE58aDvB1xQZo5Ycc6cbZ7yfHmAEbdIPJ9zxun0gtl4w4vZGWfnidFly3lxfb+guXlxBke35KqB2x2T7BlJwaYsOfCeqvPEXGCzQ8nA8wegty1F7WiLhoUSTLPi2TNJ1gLMW5Mlg3vtqA8i+T344MeejcxcFI7Pm4oxLWOxoxNgtlCt4RBolOAKxeOrxPq45np8A6IgTiLxwON2GcpIcRjJSWD6QNF5znlKympIFT1eI3qJ3Bku7S39tESfPMA+XyG7iM+ak+UVrZCsqwJSQUoJJz3OHTPzPY/EM15ZS5scsf4UAXSTitsnJzz8tEN2HT1XXPnHZJ2xag2dQ6eSiXyPz/KW1u4QD2qa84cIV8ASTrYwPSzZ/c5jDm5qStWwfVyiihWhgPz4JXFnUd0I00bUkRrUHH2H7RU+KZaPMssykkRmNjf4+gNEKynjv4JJjQmKxY8giBG5GBMfSuxxh+oSfDaG3zlGTAzFn1zx+tEBm4OSEWtObz2jxhH6z0hpjFCHyFOFTAG9Erz/g4fEaU07cbx8AGcCJg10OTB+GSg2Do6v2R5r2ocFVm1Zyo4Gz9lih9llqrrHPHkPdXODvrwiHNcc9CseO8fnRUEyhmwUdCNWCFYJTH/IRx894Xt/6ykfzjNiXRDXJXrdEw5b/KzBPTzlcLHkdxYrnv3nDX2fqSmY3oLOaxQrNrbC2UC0GV9d4YoJnbSc+IhY9XDTkkSCg0R+OCJ/ckKYVfinlpV8wfjaUT5z5OIhjHvEeIlZByCTC0/9ZE2yQJS0OSB8QZTH8BEYL6iWmbI7Q7gObVZUP2ppp4bVB3B27dE5wkjhrlpCkXEPYeonZKFo5glOTkky4IuXJCJlEpzEU7TtyXWD//yS4vAQmQTyqkdXAoyks2PU5jm269A3gfygJ1eafBLpDhO+GKPjh0x/tEJvO/JZgZy9i3pwi/jG/5v1LtFeGuzlA8TsGlE43r+ZsUueDYkjJNeMWSvF7uAFnILwkvznM8ZrMHh+zAJRRNTMI5RgfmmQW81NmYd7TUqE4pZlciwb+GC94KLcsqoaqvYMupYQekoh6CrP7jAgjwTZzaEbky5vMX2P8h270QgfZph6zBkrtlqy1YbjXrC8HNPdlIgPX8FWIFea4/NEkxO7nHgVK5gZxCLjbq8JqUT2jzl1CdB4DC9e70jCIEXFezmgpivCYc8LW6O3mckrgCO08RgzPIvoECidowR6r9n4guqpw9WR5y8lRbFGiWHxvD4RyKCwu4KcFTJrZGcQnaEctTw8uaF5ucRHQS4FL/PpQBgIG+SHO2SOcA6jtcDZSHe24fJqzBjJ8UGJ2wlam3APHfa1HXz7HLC5JvaWVb9g9/KH9MbxT22Hfq9ielLxndenvH76iOP3j/iPu3f4v/8X/xe+37fk/+h/xvJ0Tal7/vZl5qX9NnG04L3jwHfGt9jUMRoFdkcT+qSJf6zx40+JxRpXCfIXmmIjOMotdXvGwaTif/EfTzj47H2KZceu+JRFXXO7vOVTs+LZ6CkrjnmnGnH4ncDBo8iH7cBA87Gj/jdbPtlGvqgTn93091X6hbX3X092C770dJOerjnG0FDgKYTA77fRbYuwEWUd7dUDRlPF0eQ3CEr9pGXHfR32NQqWr5LjfcmUfG+eLOWQunUHRA0skcHcWAA5DYWdNgpjLbasiCGglMQWBmMHmVOKgZv1Gu88vnd43xNjIPiAEZKRUpSLObqs0MZQaEnoOrrgSV1DvV7Sdx1t0zEIbgAyec+SWBwsmExnSKWH+HI/JDm9fH1OU9c419Pu5Xh3yVp35/v2uacvPUS/vcb7l8OO+nW0NxKoQSZ0R08XaTBkfsMb+fLE+WVAua8r1flVPuMXaYIhop48AAul0Rgp79RxCJEHg+79fIgxDiwYIdB7dsxw6IPpOQxysXtpEmD37KMUv+x3c3f93DFflFQomQc/Lz9IKOVdH+xNw6UYUPCUInmfyCf2x5nzHRtrz+IRg+TwzhhcAFnsWTxCDvIznSAl2n16mzUDIGasJeXEarul6brBtFzInzoe46rkaDFHm4LeO3rv7+VG8q6oFQJrzc9Bxof913VD3bV0ISBCvL+/wBv2kFb7hMI9k0S8vcs9BUNphcyKnNOQ3rYHme79thiKfeQwpncyI6nUIMsFtNjHzmeIOd4zklJOxLRntok3zKWYMkJkUoq43vH6+oqu7/G9Y1xWKCmJMHh3CYEG0t6APcdEkuzZXRIl1P246rvPSBnv/SAl3PfHXTLarwrDfB124c+T2v6i1/jX3e7rmYZncn5jrv2LfOf9lW5vUYju2H93LQRPisNcW69X+wUhSd879nA6znmub5Z8/OlnxDSY7n/x/AW2sAN7uRoxGVcUez/G2WLOcVEwrypc39H1HVfXJZWUrHc7Xr6+ZDQeURQF44MD9GjEaQgYCSkMwO3Vak3f96y2OxJQVBXT8YR3331nYDOmRNv3rLdbtrua5XrLtm5o+sGj6kvnfs9G/jK39dfdTpcL2qmnfeB4tc1McmCcEqEpWAdLmyzJRDrdc1v1zDM4F2h8RwyJcZ+Yt5nty0RfJFwhmAlwfUbcJNooaYuAmyTyvMWnMbt0yum7DQ9mcDBXXPgzqnrE8arCPgi0iyUr94Lj4zFGzcibJ6zHW2YHB7wz/l2ujrcs5Yq1G/Pq+Wfoq8j5Z5Yfjf+c0HlGlxWzjxKHjwq+3b7P+r0xU6n45ufXXK831N2Wtv+C9fiCut4if/hj/mi1oDYg4gWPPj9jYgz/6Hs10/ffIxrDVerh/JB1E3h98yOefVxzu+5weYt42SONo5/3zCuBzJF0s+LESXScci4PEPUO67f0JoGHlDTeL9B6kHW9SHOORIMRcMmMFgG5x4oNaa4IusRe3dD6iNtKqtUVbYRWW7reYkxE6AhHV+ickJuCnopWVDiZ8YeJ9a6h7QbWLiOBMnByATvj6UaRoitw3Zg1JeLJLaLJ5D7jjz15PYJNhbVb8qokbDQvJ4ZKwolIyH5LnkM6rPC6x4+gnUN/JYh7Nut52WMbz+kXcBNGUHu0F2x1JrgR/mqC7zpybNA4bLFBmURhAyuniL7CM0Uf31KMOqTqkabHJclSaCbuCG0t47FlY8CGwOFzz9VoRzOHl8UhbSoQvYPNmgPr8TLiL7fcBgkV5GPJ8cWSlAQ7MnO2SNVwaVpEDpic8RcFT8ItWRSc52OqUmJNx1X7DOEWqFzyvl0w3RximJOKEnaaJCV5DJNUk0UgjRNiKRBOUBmB2DyBIJhuPiGZ52AMcvmQVAZQgjQ/ghgRaUd+LaA6Ai1RD69oe48j0H+kKUaCUxEY+xvKmEBY6gOF0gHlBN3rMXa0QT50+BuFFDt0apnJBaaOyFViai9QCw3zGUwUo9BQXrTofo6ZjuhMpv58weTQYo41uDXNYWB1qPijz3a86hLXZpDxyxCQ0ZHMDcEaolUIseFoNOf9FCmfN/iY8SIgv2ERRYWxEf1pQb085FlviXxKTIYQRrjUMZ95pgeC7S2oXqGWkpv2lsdnp9gsWVpFPpSIhcYSUTEjt5rl04ZSRWauwKQO6UuCOUTl14gQwAma+buIucLETC8CrALm0jN6FMEUMF0R0hIpFekAzBc7RJvAgTicUxSew+U5Rg7scaxEu4xsIrZOiFEkVwFldpQvLCjwjyPixeDpWT9ckb//Arftue0VplLYSiBGO1orEVFQ3grwjmwy7iPFelSQdcGRLJhf35LdBmuvkWcreNCTSsnGdmzcBntpcF0BXgM9bpTxpeQKy2SnMF5yLi2dMMggqZ5Hejkn6BL5rqe8aSjbyHYuiYUnBcn2vMLFjDYJ0/dscsVWGA7KHcoZRKdo0hqiwHqL6z3r0YhdMYZmhagsYlySno0gVohk6LsZJm2wRMp+zm7uaCY7bq40XdD0vWZpPF60lDgWrxKhgH6RubpaUKSSubDIfEHqG9K2gJwYjRuKScvyQhPkGF8ocrVGkTFR8fpyQdFESp8Y30AoLZt3S8zVloij1y2zRpBSxVocM+IKJSAj2LwsMd5zkF+y9TMsihmC1e6akATOVTwQNUG3LEvQvsDLwBdtRKeaURKMHVwdCGLKqNrjL8bkwVSDi3xATHqgN+uOTjtezQN9c0RqwFyuiNNIioJ8NcHMepi0LJUnqEgOmWJVIF4I0kXPxQ9e8szUCPGKf5FfsCsLipnk0xf/GPGjKbG2/G9fQHp0jT2yPH664PhmhAVuv7lmFg+YyZL3VIedl+jZiHJ8QDQ9fuNR1x75ext2ccfHPzQ8WbZMCay/8w7iMHFSB86uTvhdU9Ej8be3NLtbwg96VqOHTN9/wPxkwqOTKU93ia6Dtcq4ekdf1zy/vWH1+YbNZcuz6Yjca/IuUZgtORc4d0DK56g4okgTfJlIe1lQzjXrpqDz9qc/IO3br+QpBW+gk5/2LP915Xh35rR3QNQdG+ptgOqOQaD2lX4W7CU4GmXMcFNin5S0B4hSjATvaOodfdfT1i3e9QgyRkqqskIrjSwswg6MB5ESXdsiBDgpaJtmeDhPiSz2rIqUKKoSWxSMJ2Oq8RiEJHc9XV/T9T277Xb/3nAPOL0tx7s7/5/0jPrrCkD9rHYPbtz/didLe+v3XxDQ/EUle193v7/otj/Lv0bs/6OluGf6hRQHIIK3i59BNqPufIEY5nkWgoy8R6u/fP6DlxqIIWTnDrkSb5k9vyUzE3Cfsne3gzu+2tvw4B0wM7B0xFtAT74HF5WU9ylzdwySLMW91FDuz1ftATe5Bz3EHshCQNN2+OCHY5RfXQgO+xGDAbyUCDGYwgszMMNSSqQMYg+EfRnK/Ymx2A+Gc46u72n6nkqqexbS3Xy68zS6628f4uAdJcT+ODMiCaTSIPKXWG93ABS8dZ2/1a9vzxEhBt8byZclflkMPmOkN/NKCrEH/wc2XM6ZFBNt3dD1HSlnxmU5AItq70HGsG8lB4my/In5KcUwr5JIb4GYQ6TwXcrn28DUHRj5i6AwX+e6+kWkyb+pe+N9KMHP3f/+avnrDkS93e5vG18BCKZEyAnvPV3X3n9HDwmeirZlH5SQqetmD4BLlqsNprBoo6nKEYeLGdPJiKPFjKKwlEWBNkO0kyCzmE4JOVOWJVfL9cCIkoKqLCjMoG+ozBBQ4nqPC4mtlDjv0dZSVhWjasRsOsUohRLgvaMqLeOqYlyNWG02bOqaTdPhfSTE9Bfv5V/x2z3T9VfsZoOil4GsM24MvVdIr4kTSew0rtNkofB5SAoqikxIghQS2WVUiNjkkbvhPsg4U4oCEyIEjy8n5EmmWHhkKtCMMWLO6ElmPtKcmDE3xQGjG8PDlUBXmk5rxl1iITJRGnZhis4OmycU+Yxu9QW7kGjaQHfzGn2RuPliws3kChUTk90hc6OYmIr54YiLYkGBZ1puuVhfsZGeF+ljtm0mbCPypqdJiq2SKG9wdooeWZ7OOvTsgEYrrtwt6xTo24ab7QUXX1zTNB3BZIwDYiaXGaVBxczIBUwYQTb0wlCGGkXGOiAnss7kKMgqE0TCG8k8GWSGrcyIHBBERI4oBgm0FQ1egE+Z0bajLy1OG7IX+zWJjDQO2WqkUwgMXkOwGaE8QZpBKpMySUiSlBTdoAjMBkQoycESUWAGrxYRGI5VCsgSpTIhQfaS2hqMBEViIgLJKsJYkYVkExK9FJjSkvcSIi8zpc+MmszSZFJS4AxdEUheE7uCnBxJSKKQCNMhy4isAvWuIKAJlMytRYsO1bUEIAlwZFy0kAuQBUZ4dJKozsBkg7eSOKkwbpD2ZT0wEkgJ2Xj6bMhKgimwYgC3XdYYGYgyURd6WMgLElqLKdckmRDSoasSpSF3W3weIZNhVkv0tkAUBcIpiINGNhcJ03mIHm8ERIMIEtOCSBIZBEXIiHILooD+jJCa4TFKjIjljpwS+jqRS0XSFqklOTqSh/6sxJAwaZC+imQIWZOyoXAZEyJpI0jThJgEcuMQvkdmR+kCxiWkSxR9R65GUBgwFbprEHVAtoqRKtAF1DsQC4k0IHwc7iEKPr3YsWodrRYIbYfnqxBQsiPpSDaKXDYo6Si6gOwU0mSEFcjqTpKp0DuFag0iWMgMyWZSkpMn6kS2kpQkIoL2iW3vaJcRlopoFLkETMYEyHUmtZmw6EkIpNfYNpGDJNgSYZrBp8iXhNEEoQVKtghfQR9Qa4l4AFlCljUhO7JQoHrIfpAGakmaFiAyRdMhZhXoYdxl1EgnkSERxwJURsmM8c3w3EZGbgVJZvrckVc1YduT1IgcB//UtHD0SiN7wVikAXjAkEqLN4qsBckUGAQieIRqEGOPMJGk/SB5yx7ZKFSvEEHiCIQkCVng1LBAGLVkWwlIGesTMjAAWMogj3ukSkgZEFWAqKHVUEuCGWS4moiLkozmhIhKlhwVt9YRlUEKTUiRXgiENNhkIWdkFtBpUkzk7CFLMhKkQkSDMi1mXBN2ltRA9omuYJAo54BweXgGV5k+G0wq0JRoOXiZin1QhhQJJRNOKJyK9NohTYfJEQ0EUZJ8AA8jDL2whJlFygaZIjEPUsykJNEaopNElUg6EXYGIwJl0bILc8gWkTXKa1KGmCRax2FbKTHKk0nUTlLloapSWSD1oE5QKpFrBUqSJoreGxIWXEEqdmTdD9YBySCCQARBspnkBdJpBD1ZpSEQw6qhVgkasY2QAq5vuCHRyZoXdsPBk4pZEbl59QXy+ox2M+LHF1C5jmKjWHanPLk9pFSGq/maJ64gW0GfAiIrRNY4WSJGQ/1WOMtB1WKJXDyHbCNJJpKdUB15yllkwhgxHlhR1xPN5gtB6zOqKLHjMdV0ynR8yHiSSCFztlDE7Ri3aRhdSG6i5tbscNMRt7c9u5XjQAe6VuCDJGZISLLQhLvnuwxCOEIShP43yJS6L7Ake/LQ1y8m7gogbfbAkzJfAp/eTk9K+yI6+ECK+wj2FFF7QGk2W1COKpCCSEaIRN+1LC933C6XpBCQeUjcMlpzoDW6LAemgJJDgSUEee/X4kNk13as64aYIlJCoRTWFkwWCybTvTG6EFSTCUooovdcL6/Z7Xasliv6piOGgZb60+R4+a1C+G2G1N9EQAp4U/jsV6MH5sjfLAnMVxkhp5zRUlAYiUSQ0gAM2X1CWkpxMBlPiWKfUAgD+0BLg5AKUMScCCkS9iyhe/bT3i9DqkE7PwAbg1n12/K7GMK9lxPcAXqDfEtLMTy8p4H9B29KMKnE8CDNHvMSAiMURhmU0og9C2fY+E1S3UD+Gc5L7Ek2eS+ZC32La3bs6pqwZzZKORT7P8m6tFLSdy3XN9eE4CmLgqqsyGTarqNuGnJOGK0Z79PzfpaGWAjw3rPZ7ri4vubDB4+H14LHKD3IEEIg79MLEbBrHFIM94HCGu7gxLT3/LoD8KTWe8+rN+Cy1sM+vfd7dmcivgVQa6XvwaJhXIcLJKGQYtBzyDuwMb8pkgcpkuBoOqM1huVmg9WDXKoQBu8CKQ0AotZ6AO+Vxrt+70PG/We+vSCg9/5i8U6OLDJZJEK6M9P/m4TGvGlfm2nFG6BZyJ851f6GtP2c/ImW0iCT997dy17VPl0150xd1/cLTPP5nHKgOdHuNrx4/nyY+8WE2WzKbDLmyYMzPnj4iKq0GGC7uqXebri4XdGGwdh8uduB0ghteOed91BGILWkMAZCwDvH5y9fUXc9LiZGoxGz0YjF0Sl/63cf411H2+745NPPeXl1y9V6S/KB3juc9/RfacL5JmTiV23nH67QS015bjl43LNrD7hYHSF+/xXqxqNeOXI/ItQFYVvy+iwzjjBtM7ttzS43uCLSNCMoHfrQUV49oUg1R/KGT9//QyanDR88OGf0p99kYhsWh6+5OrK0lzM++/4Rr791TR93zKsN6907nOwMv3PzIUJ+yOVJxYt3JN96NSNdZX70/Bnn//qfc9UEnvGA/9G/D4tZJv07t3zkH2DGI8yjA9TyGlEn5OKaw88t3RhefrBk90//a167jv/r4xW//ae/y0l+yNl7v88/fL+nqgrm+QnXf8/RVYplP+Xjz6/Yff4M+V/9P/n+aWInBeWy5PEoM54mPqkcJwaqThGfVdzajBeKh27Ki1yyzZnkl8T5AUYvOD1/zuWRp514irTDDcPJSLSwfIjvLWnyGUUsUKGi7884fv2aCVusEJxPM00B052gMx5nAhUMX4RZUGwKgD1IbckHV4jxhuKyoHAjpJ9yQ09MEm8UtQUiFDtF158y5YZJvmbzySFxXhMmDdV5BdkjqxXjWQuVIGpB8bJgF8dsUsWHGRZNZHqbiU8En9/C+ioxn54StxlXe+ZIhOggZw76G3aM2Mop8r1bdL3GXjf387IXJd20I5eZuhIk08PGQOdI7QmT1Yb5qudlYSFEStdykbdEH5B15oPuFW1V8fLBKfnVDEKCaeRJuiAlz0okzisgaGwLReFJocR9fsYuXTCi42F2nFtLW5W4wzm5E9BLBIZnDzvEuEdU58Tme4jgWWz/lDy+RHSQPpX0cUmIR5Q/OIZKkKsEdoe4DMheIiZzYEyUBmpBab9AjHvCRyPM9wOylnDqEUUGl9HPdtx+TxNGmse3jvb0hjCOyE9biqpHC0Ny77IzL+jklgnjoSDrDdPPFoxFjcHjfD0U8TphqzUSh3CZyecO4wVGC8R1iX/YE8YtcluQuwfEVBGqLXRTzG7ESfUS4SWsCtTkIZN1i9s0rP6bF2xTgy8S6vTJAFanRPHiHO0COnrcQ8l1G/nsmeP070yR5RFlPqZ49ufEUY+feMJc8G6/YRZe8WckuoMGcbSk/KzA9XD+sqBtR1TZU9FzW1mWzw31P9Ec/B2BWPQkU2OX7wzeomLD6aYmWkNdTEhXlqQT+WhLcSAwHeibDmE90rRgXjEXZ6AUqExrC5ToqdoVcWxQTqGWPWFxgJA9Wl2ync7IjaFaL4gLUIC5Vsg4RpQaThTJetCZMk7RRxdkGYESrTpICtEq9PSYkXTobc34sx15Idh9R7JNFVpljmc72C4Q2wl6e8zR0aeEyYb2UCIflghRknRm/GKO2SbMyZp5b5i1Q3k9ymsy8JI5s4spY5E4EdfcGMN6bHDvOo6fdZgGzr8tSZ87WCXsS0/oxzRC0ttLuJygd5bHXLIRlkZLto8kZt1T7Dys4NYE6irRHg/gpAiRMgtcHfErQy9PMddris2G8tGaus30HZR9RcyCDQVN03PgPA/6BA96ustM2yY8Y0CQJLw8zZhGY24M1tQkodiFAl9Vw01u33argtVlyQdiTmN2rPwlxWVA5YwCTuQVWUJEYjklbhNh23MVW0oxZiYP+XHaoRc988cvuPnC4jW4WUeZoSgz6lhiX97gugnn/oACkDJQVDteTiXZTZCrIygukHjKvqTJhlZmuiIgtjfo4auBKYFYarYP59jzDblt6W8W+A96dHCMP0lIEQmjzO64J0eN9IKidMRaw6ak7Cq6owlBSGIXKIoVSkQmQlDbCKOW/sGa8DzR/TizVIpnaU0jdlSlw19BvJB8/q8aVvIlR5XmYFuyeFAwXUQuHwj0sxXBBM4PLzkeWaalZfHhjKo4YmElH31P0F0q+mXP4lkEtSTpjs34DO0jBEn/0e/y5KMdUzwun0LakP01y89fc5F71iYyObAcz46ZTx7z706fEv/A4cee613DP/34nD///Ibfu5Bcvbjm8vKCaxJ1saMtHWAxIWBCpKoCEICfb6/yKzOl7lQdb7MM7ovzfeGk9iurdw+p4q3XhZT30p2898e5e8gVYkjdkoOugEyEPCR6jaoZo/GY6WxK0wxsgV1TU9hheyMlp/MpSggKrYf0NymRRqOU3oNfks12cP+/Y4sgBEJJTo4OMEYzHg1pfiAJKdP1PXXdUXctMZ4PRXgIOLeXBIY4FOLiDQ/o7lzgq1k2f5MZUvdt700j5H6lXUi+3EPc+5L9hbf+htkRvzEZn9hfF0KQ0kARhYSLYWD+MKRf3RnhK6mGlVpAajtgvWJYXdVSU6CpCgvIewlWTGnv75SRefh37xw+DubFlbXIu6JKCmQcgB8pBwnZXfravXzuLXlpBgo7yGd71+/7CrSQGGORSuGcf0N5k5kUPTFFClkQvafrOnz0VHlvxugdy+WS66tLfPDDdSfFG3BSDG5Hg0nqwOTy3lM3LddXl5iiRBpLURaEfZy8EHIIMbDF1xvLDG3Tcn19zXvHx5g7CeSdvG7PXJT7PtbVwCCSAkIM97LGuPeF8jFQGotIQxpYeMtwqLAWKQZpZt5L+fRbzMiBxRRRQmC1Hjzx8mCCPqShDV5X6o51JeU9cy36gJKS0hbMx2NOjg6pqgqlJa9eXdC2HXH/voHx4vEx7JlgicqWmP29MMTBZFcrNSQ35nTPjsvsV7nFW4ywX+Zy+BtAL7pjfN6diuBvNjD1dcbs7nq5N82/k8Lt5/12u8U7h7GWqiwYj0pKa6hUz3qb2DU169WSsiywRlMWBVYN7MjZ8Skn2mKUwsrEtm6o2571dsdu09I4R+cio1FFURQcnJxwKgf/SYGg6xq6ruEHn3yGDw7vHDebmsZ7hJS88/QxZm/gTAbvI9571usNvRvAqrZ3iL2X1a/S4k1FWRuqTrO7zgTXYdUVZx93iD6RvOCy6fCuImIZL69RZaI7gYcbaKNly4TD77wLB8DCczo/ISxbVpcnzHxCbcfU+kOe7T6nPOpYHAfE7Tco1pJp2vHO5Y5cr7m6vOXxo29w8ugB5psP+YG65KW75eMfbuijZO5GHOgDvvfoEWnq6T4YYSSUQjBTGlaDd02YBeqLQ1ItoBGwuWarNC+W3+Kd373gkZL8we4U+T8Z2OylKvjsuaG52JAv/1NefNHRS4FeVSzVDuVbHjyuUE2gcplFn7hhjusNbGBt19Smx73nmOQDlNNc3dQkWmwG8MhuTZKwthZ6KHxm1DvMoiKogv52BKnDqBrbPEaqBq08R0fn6G1H6hWbfEhuWmzfD4VMm8kug4ZJDGgilydQri3aC9zjjpwrstdwtqaLO3KU4AMqJHTK1EZwYGEmNf6lohkLLkcJobdM28BkKbH+gD7vcHLHphJ4n0nbTNGNyMkSlOD1R2ds1lvG1zWPuscgt1CsubkNpD6QckcqIkJ4oCDkjImR07ThVh4iq4Q+CLTXE3JkoFZVAhU69FVNjhnTByxX+Lpk4yXbdESjVxRVAAXFNhLKmnhY83oTiLkmta8gHyBEAtlwu5MkoemOA2qnEX5goR0clYQgWN3eULiWYCMvFolYg/QBu9zg554COFpJVrcBv5WgIC88LgZ2V4lHH2rMTNM/HPHZtmAznvEHIzDZIfsMK0XSmliBOAV15cgC2icLZu4J1gfkF3s2m41kV9MdzPAzTZaOzloQhv4bE2SVKYiYmSYbSCpR9rfYjUD0BcWyJh5r4kOBEFeoVUL2Cjs1SKPIWbA7sFSdwPQZYUfowqFEIsch6Vt7gUiR3ewaJxPzS0daQthBqzLWTRFxQjtveP3S8fI8U3aZvoBgBPllxE62mKqmnRgOG8W8l1x+ek3S56yrnt3nv4c+G8PMIn1Hypqk5oQMQWpyWbEYeZLL1OcW3x1RpJqR2MBxQHhJ2wo6p7lKL/mk+i/47vT3EXZEHxYcjB1djmyTYrHO2CaB8NQPO1AWpRJbcUjZJuaXCbXN5Bn404LXdriuFjFhb7fDYlxtmU8Fvkhs555qI8ki0M1g5K5JyuAfV8jXM8iCbBxp2oBoUCGxWWgEgvkacBUiKvTmEBFqfOlYjWrKRxHhNbl7hJUCaxOF6LG3BX0InE9rZvMWbQWJQ5gadNWj0zX6ukAmDScSsiRFjT6fEWcdSbWYviMpBUpw6HakhaStwFXgVwITFMc3M3ZdZB0DadWiCVgreOAsO+lpi4QYW47WHZXxXJ+e4cWOmHrs0hKFop0IXo802UtkgtMeWqfoncW5I0zcUqgdzbFl0gbGzrCiYyqmHOYRV30iH0bENCOWI1Rw6OuW3WNDryFUIOaSoANRRkZXmeAlfdQ8kh11atgAeWFRLqBaT154ZJswTeb1oiH7RG4FNUeUdIyoueQhSfVktUNSY2OgCJ7m4AjvI6m+JmGJXUl/PaYva0oROe0Fqwyiy8iLhB85QrUhhw4/KahaxfTGsVKCmB3C3iBEJJlEGAXwk2GxXNRD6VIkzCIQrlp8KEgvxhz0Y6JyXJ5eojdQSsPkqWe32hGiJr9ecEiNzHFIqPSLwaV1fMtRW2PikOitg4McWaaEB3TKzF1CpTFIyaVxjFxPJTLeRnSCmAucnLDUW1za0n8eaV5HytEc83DGt06nHBwZpoc1XQe+VqQfjZCnt8hZi6kKxtFQ2BHjQ01ZHqNsZDYa0QZwXeLs82uy3bKSnuttz0xLRhYmT45QJnGioaAAP8F1hvPXz8jXEi8V/+Zcs46Oyajm6T/4Fk9v3iXdAttIb4afW79ld+FoLnrC9iVXGa75+Z6evxIota9ZuMdf8tvytCFtQ8iBDTDI8TTGmC/JBb4qWe5tqdt+w6FUvzcpfROJrq0hbiOu7+maBiUqrDYYaymr4WG2UJrltiaktKfGD6i6EHLw88lqLy17Ix+sSos1hqqsQAyAVOx6mqal6zq2TU2/94lKcVDyv1lV/sWMyv+6glG/CJiW95ItKfbF/v3Y/vR++qr9/iYK21+0/3+abPAnj+2uOGM/O9KeqRTTl4HbO3nIXTaagAGsuPN2SqCVGGjWQsKd4EsKUg6wTzSUYkjju2PwIO9YiXfMmn3wUwYpNYiBKYXIgyRur6GTSu7lYhmrzVu+TcMnazGYfwspCT7cLRzvtdhDzqSSe1ZQGADfAViTECNt27DabobrfE+du2dHAYg7OeHwYohxb2K8phwFTDlCKHkP/kohMFrtATSBSOKnAo530rzgPbtdTd93QAFCEXO4Zz7d+W1Jhv64SyT0YU/lkmJglqVEyhHI978P98U9q+mOcZTvkg3fnhv7c79LZQRcioSUCOlNyuIdmCWGE7gHDPPei8toTVWWGK3RWt8DnuR9Apnk/vf98N/Pv4EdpfasuSGAQEs5zLO7+3u+A2OGl8L93P/51+Iv4gH10wIevu71+RsH939it+IvvvQba7+IxPHfdvtZ9+ScB6N97wNSdfSuGpiDpR0A9f0db0nGaIM1hvF4zHRSMR5VqHI0BENIhbEa4/yQVLaXp4qcCc7h94tNo3FFoQfvvhQTvRhM/Ju+I8U0GPorRVmUKKWZT6cYrVBqAIhjjAQfKa2m63o659juGqRSSP2rgVJyK1AOdIB6Z8kmIouayS4QBfQGpPAooRFoFoUjFgZflByLEVtliaZk/GCGmAhEESjsCO8VzS1U0ZOixuUxdRXoRp5QJo42BTpHRsZhVMCrTC8lB2VBNZ/gTw+5bc/Z1DW8umV7NMEay+lCcGKPsQcRPjJ8dr6lbTLFTtMN2jZM15PMglhpgk+EoGipcPkB9lHDgVScfHLG+dk1nWmoV4nbTWZ5fUvz6lNebh19AruuCAcNVSGIdjoUGzmiM7hY4GNJ5SMuWzqZ8IVnjAWhaJRH6UQpIHgB0ZEj9FoPyU45Q6dRwZCFoe8LotmSlKfIB2TRIUVipHt6k/BZ0QpNkkPYiBdABJkYZHbsg6pEROeETQlrHL6zpGAw1S1BBoIGYTPUktxLtAkUBiopkKZnV0W6ScZmT9GA7RUqW3QeEiZ90mQn0M1+IUJGsoC+GCNVj0o1rTP/f/b+a8m25E7zxH6ultgydByREkgkCqWrBa05ZHOEGY3GGz4DH4MvwEu+CY3Dy7YZG2PbNNmSU40SXUChkPKI0LHlUi554SvinExoJLoKVU03Oxk79157L+3L/59/Aq9zcl7XRlLyJDnGuMs4PvAFtQzo6JA+S+OSVqRkRjkTmBARIYDXyD5gQsBIy+AkLpR4WRCLiDaJqCWVD7gy0euAm0jCkEhdh0gHECENkdYLolZ4pZgCJIGPkkKWSBkQNEQkXib2JjEjIbzHxYA4tMgiURQS6etcQBpHCi3ReWwLJhkKU2FnEzZtfnZRRsSQ5fXCGZwMJDU+y0XIAJyRCFEikiE6iMaPkitNUDW+0oSjLks0gTQ36BBRFoyQeLIEqgge4TXSJczQgDGkhcGkAdWPzPh5IhlNElVOhZNZuaGUQhQJIWMexyQQg8jRiaYFadFaYm0iNol0GEkSSBpXWTZNx81VAzIH2mQAx6JUh9IdsTpADorSJ2YDxGHP2jl211uqYobRBS6l7JcTTL5WaklaFEipc5Jj0BA0hRRUOjAUkSAUNmj8INnZHa/bDd+230UrQ8QQtMORja+XCYQNSNch5m4MOOqJfU3sEqlzRC2y5NQJXIoQBFGBcBERNcGXlDtLCBFbZpZeEmCloQwWIQXdvKC6ztJCZCIqSxKWIBw+TVFBkkmDCnwJ3YxkIrEAH3qSyvYRutQEpQkiUvlAbQ0xCBoMYSKQOpGCI1YadIEeetSQkDEhhkQgkpQgWoMIbfb3imlUG0gmE0E/87g60mcBBNrl+94nGEi5nxERIxMzX7DXHisSMmomOCYicFEVyCTQPiJ6AwUkk/BKIDw51bUvMQ6iE/ioECaijEMWHcLmhEOVsqS8ECYH6AiJNIJSZ5mrc9BHgZeCpCWlTMgy4U2kjoouSnwcJbop4oRDFCB9niAPKiF1BO3oCouMEo3By2JM0FW4yuBFzDJmHD5GEgJvSpJoEb5FDRLpJGmvSFNQCEonUUFDDAQrUEUkSotQFqMmOdDHe2QMCOExwuMRRAFRJSjzduoYcShikiQlCMoTvYZBoqJE6ITUDWJfghaIuSL0Ft8BzQLNgFQeCojREEQilomia6mzrwhBJJwQdN4Qk0BGUJ3GREUQklYqDuSAEh6rQTiJErlm6qUnCosYIutuhdwOlD6wdIpoS+zxmt73JGtpbpbQb5HLnvoYTivNXCoqU+BUIEnQXmWWmkho19PjiMLhdw2xMKSgiU9LyhgpA6i2oBcKHwVtTMheErzG3Qumy4J6UbE8OqSYlMhjjVxFYhEJxtM2U1YmsDEWf7WnDoHil6gZvjFTKrdcbAmp0FphTP4r5RtW0ttAVAgh+z358PAmRVE+mpxrrX+CdSWVoZ5Os2RI6jzDrxRdP+CDQ0nBYlIzmc4p65rJdEpd1xAjdujZrTfsdns2uz1lWVAWBfPJhPOTE8qqRJclshzp2MGz3WzY9z0Xdyt2mx3W2uyd8cDiGvf8wRfmAXj4hypv+Y20scAljoOlfwDMiZ/ZRnRJPHhECYj5scWIF2WTa6PpY5ZJiQTxMXkNnPf4GAkpUIYCrTRaZ6ZU/kFB3/ejzFQ+gjtSyFEWmz3Z1IP8JkWkfmCqvTElBx4HryBQSj7KSh/wlbKo0OO+KMmj9DVFk32qYmQIHk0Gn2tT0ClJJ6EsS+qyZFIWiBCwfc+2aYgPYNSjXO+NmfaD01Uip+0F33F1d8NJgsOiwg0dWiqMyn0MdQXRU45yuRB/euH+AHz4GNi1Da+vr1jO58yms1FyKx4lxFGIHBHuPUopjNEjk4vRq0lglKQQCokcgafMwMyeT4FmvyemhIs+y+gQeOcoRgZaShGSJwWBS7Deb+mdxfnI0WKJUVnC594CBaUY5XaCbCgvErKQXN7d5oRAwD8kKgqVt1lkZqoxhpginR2wzhJjpCrLN5JqrUcPnjoDlHEEIZUar+FE6z3xgUj1X0pLb/78XfRav82g1C/TUop4F9jagc169fi+lDmts65qpnVFXVccHTiavkVpzaevLui7HmcdSMliPmM+m/Ds/Jz3z8+ZGIPvGlbbDbum4f7mmn3T0vcWY0z2e5xMOFscUhiF0TmKPHqHtwMX1/fcrfKz3hSGyWTKdDLho4+/A+QAia5teHD2+yZtsd1ihACh6Id3YLFDnW1wO9gUcFMB0VHeDCzdin/035Y0Fx9x96Pf49ungjC9oZ295rPFiioFDvaO7eWai5vIF5eef/KOwR20rL6z4eOP/xA7rGi7L/no/CXlRJIK0P94ykwuOG4+QH16xlYLfhxeMqzhnYuSf/bJlLsPniLPJ6jDiiF9GzcU2M2cHzT/A5vPNrh/B5e/LzibKv43LzQf/e+niKXiLgr2k99lKSYchyVN/5JXF1u2L/6Sf/vlD7jet2w+MzypLCnBVSzoLyfEWDLIBcX9DYWIYCe4b7W0h47wZcFCKerombsLPlsu2IlD+GHg6hyksZTA4YlHqsT1q68aqepjT1KS+90Zxa5F65aybNkBbSE4evaC3a3B7xT7y5rN+UD3xCPMFcia5Cqa7RJEla0cuOKmLEnA6YstBT1GWOafJ245pKXgyW1m0VoNr96DfljidxO+VV4Q28jOe26PPoe5YFpITn9QsZeJ61LQdQOz5KkTFJcFE39AGaZcPPmU4APSSs7/4lscHkrm35L86PwFuxcT+PQk73CZoBJ0mwkUDRQdAP0E1oWkerUipgWNWFKZCyaiZuEOMC8+oznS3D+fYv76jpgku7Kil4dIaan0CnsEsTe0d5rnzy39ILh7WXL+fEbrEhdrh5A17CDtNMPzC3AV4rMnLD98gR0S1y+nDF/OcXi66Ok4RltHfb/m2WDxQvC6MCChm2o+X05Id0egHerZBfL1J+hdQnrYtSdUTNBI1PZTpNqizHNsKkiiQtZLuvsJcRvgC09xGjE6cPr9lvDOPe0icf/xE6b7G8wgwP4uwkeKrkWLe5a6RcWCejdF3vbQOVLq0LMnMJmTFobwZECoAXMgcAdnYCoObq5JyuIWkfXTLZozdFywcCVS7qFoqMwtSS7w0qDEBWILeEH6dsF8lVBdQj55httZUtsxffczdEoo6RjUlP7zF2z/lx9w+6xD7DTVXkO5Agt2XSE+NGy7HT7t+Pjbhs1t5K/vB9797DOeNz2ndy37w1Oq3lLZHhYGfwzy/YrX/8/38EXH5EnPeXOFXnrkqWTzqsQZj130pKbg/pXgB1eS7032nD/xHB9LmuNTBukhdoRpgaBDtCvK70fUsse8s6W4+i5pAFsM7D46QAuYNS3fvStJqsCfVQzTU6JWRCXof/QlaePQd6DdhjipQT8h6C3eKHqhOTj/IabtYSugLxnKyGbRc/haUbgSKRV+HklFJAUBT88gWk6/0BT9Hml6OPucLyYFEcHzfaCZn5FCwdPrI/qTEq9hvl9zO51h3YzJlzPSM4sqEmKnUKYnzSK780TxN57pnWCoa547x0wp7He/y5I7fLfl+q/usWXCVoHP5vcYb6iixB5LhBXQSWCOc9lSpvziAulAxEhxcctR4SglXABHe8s05HHfyhi2suRi/ZRZvGYi1qT6GnfmGeaC8jPLVlk2U8/3nORKbrioNsS0QN4tUJsZ7zq4nwu+OEmIMKCDoYyC55cD6RzCuSB+64jt2pFWji+6Qx6n6PprVB8oWhhu60c7kOLuTb9clhukB+cqnn70iv1ecnuVoYhGzFmLJWVzRVwM7J9Ijn68RzsQjYBQ4aTiImmm/ZIgPfcFPL0e8DGyS4mja0GD5BUaDlqWLvDsVvK6KIhWUt2X2Kf3VEPk9BV8GQ+xnaZZQVW1MBGIQ83t3T2q65i/TOyWPT5owuuS/nAgagmt4ZpDZLKUNKTUgyyR+gOag5dE1zG5T1wewCAK6uunJLHG2sDr14ecc4+Rmc0qgSQF2ypR+mwBUhQXALiy4OLpOWH1CtHeMrm/pb38C5QMvPiLRLEvKVTJ4nePKX90ytQc8r3/+oT9wjErIqk/oL34hLi75ezFd5nNOopDR/pnU6Z9xUEvOFOB6DYMYsOP/ZT6zzqKLwa200T57TnF0znT3/t96l5SdpH353cMT34HO/s2+/95xuboFevDG348qamOFywXS/6bL36Pd9+f0y9L9A+fo12LScMvHCd9Y1BKZgkzKSWqylAUBWVZklIgpRxJHsIYEvggE5Iie7OUZZ6BVCqflJQIIeK9G4tA8yglguwFMwx2ZI5k8KsqC6qqRk0m6Dx5h/eBm9s7YhiNzocBZwcqrVicHWWDZqUoTIkLnmHv6e5WDMETQiA4hx0Ggg/44Ak+ZPbJVwpd8TYy9fDOT7TftgLiN8Um+Hmz4z+THfH4IrPhhFQ/sR1v/ver7/+2SX9+4XFMGYA1xmTZ02jIHUdvHp+pU8QYcypVmVkCzllCyqbUZVliSFjvEUKBUCQkIfg3rJsxRY+YDVKTAK0N2miUlPgUGGwGUiuV31NCYgqNlAYQDMPAvukYvMspfCNPqSzNeA8qvA90o9m/kBIxglLBZ4A5hHyvaKVRQrJqW9pmTzdYXAjcbXfshwERA83QZ+BHiMytGslHo8ITeOSCZb5USkQBKgZEtBAGUqoJuYMhSvAIwgOD6Bdc2m9LjQfnUEpzdHhI03XEECFEdGEeTiNRa4TIUuNC5eQ75x1GZAC9KMzIXMpMKaM1akwc9N7jQ2DwDqNNltE5h9bykTGYks5SZalYTiZMQ4mPgbqsEELiQnjT1TCyDSVIpUdQMaFCwHfDeA4eWGMKZAbpHu45+eArFmNOakouM7FEZnn6GHDj9SWlJOUaPn8+yimlzN5ov0r7pul4Xz9/v853fxpr7ldtP7unh/+cvKn4wAp8DP1Ij+/9fWkPgPDbLMYHBt8wdDg3sN3vWK03aKOzfH42oSpKClMwm9YURUEIkR9//jlaKrSUVIXBKIVWBU/OZsRRQp9IoywZur5j2ziszwmnaryeJ9MZSSnKqqCqKqqqpCwMu92Orutpu5ycq5RGf0OmVHsukP0cMcxJk4ZFGFhcJi5lYthPEHHGx9+SHJ3NOJzMqV+1uGFBcTzwl8M9ruvwUTI5vCIWh+zKp5x9dMvZtzQqzPhOaVlXBYOacbga8nOnXFJMZvTllPVsTv1i4Dr1/CfRUB7ukJMVstnzPXPI/EyyECX7haa5Hdj/hzWv1pDKPfLkkoP/pHjSL1h+ZLh89xQz85Tmjh9/+RRhJXp1x5/xBbvYEsIGzxrRefRN4t60iC5xasG5zD5KCqScQyXgySVelux7wxevC7qLmigqrFvQ0OJSwMcp7CxGOBwlbAxJKQZhuOkdSuZOaeE9QkSu54m0VwhvAI2sPCiP3R5SpADO0b3omFgAz/2hQMvArAO7Nqgwg1DTVhKdWmTyWHtMtD0Jx4ZTJBEDnCeD1gNKdqxYInxLCgNmVSCHEikrLhcHyO0ANjCs5qhuAG25CiWu6kn1wNN+T1dH9nXJ4eEhw6pivRYce2hrQbuU3FaC1s6YvC4J9yVqaCmKBhCkiSNNPX63IHkD7YSULMp6TOk4nDla1tjQ0q/AFx39rKVsJbYz2BcKqUrGAQyUAgIIB0eXEZ8EA4LuckGvHMOk4+pqQrAaIQzGrElJ4r3hfAW+9Nw/33N3Z8AlyrKjEZ5IpEwO2CLrgDhybF4FhIVpSrjXJWEukM86/vDwjqQin0n4q+YJsk1Yc810WOHlhj2J+dNjTs8XqFOJ/NIT+x7r9pjDY9KRIDZXUEZCyobd6XaOuvUcyBU8WSCMxjS30A4E4YnqmHS4BKWJtsNPIE4hzmekskUmR313TJESoizozbeId69heMm+KYnVhFgLdLimDgFj14TbI0IfSVLC4l1UvEGkDa0+B9sS+462b5j4EhNrLtQVxs+R/ZRVmqGKiJY7ln+p0RvHQRn54GbJ/dyye+5JdkHaSNgLzEXHQnsOnkmGi0RnFa0piM0ziHNEJWjOKzoNSjhCqfDpkKE/IZ78a5xP7ENJX1uEL5F3B4TYZlPyWnIoK3wxsJo39PMb4uEJxZMTUt9gBk/lHFrUiDrBTCHj+wjloNlmRl7VI47WHLiATgmTJrBICN9RdFu0fw7aI3RLOoiEOMelM/rDO6SwLN0KUfpssL9NqF2F9CaHvDiPKMDNago1RzegrtdYo0FbyvoCt02kUIBcEk2Tx877BcvP94SoaA7P0NWALCymnEJqwFrY9yxWA1EIOFwT1k/x0hBO7pkMA6TIJmiqsqCvc/q7TRonNMtJh9w19LbnVVkSpUR6xfzygJAcUQbMa4PeebCBC7PCOMmhiKwnA9fDDBML1IGj6QT94FkOFi8lq7rCnBzSxh3B9xxcvSYcWrqJhDUsV1CsJdf9kiglQiY27SVeSwpZYOUhZWwp3JqVKenqDlUrzq5OaOuO9qzl8toQUiC0Eb3q6VvBMBjAYFJLwR7famIhaM4j/r6mrC31omfqobeKZsiQgzWSodRU10u6PjL0lidiRxtb7qPg2Cq6zYxVqynjHVElWqNh4hBRkgZDX+xHpQdcTUYzeym43pXo5HiuG+Iq4lXNq8UR3m0xtWNyEthtDqDVrJPM8j7pKIpAFeaYRlG6hm2MKKk5LBf0RYuLhjAcc3R/Q4iBu9hA3SBUgKQwpiPqHqdWNMYyIBiKgmXtoPB05S3ybiBExfDE0OwKVHbN4L5MKBRP7g/wbk+KQ64JUESfaF68QrseksCpRJ9KJIly2rHYe3QfWe1vMPcNO3tB8y8+QyHRouRk9pwn3+44Oi6J75wT5xeEac/tukVsQTeCo65ATw2yFrzjFOb4AFUIls8sFApkAvEZNh3QMaE+3uBSQdiVLJ7esZvPiNMF/4wOXc7RZkJwr9nczFmtay7ZoLspZnfM//kXjJN+Q0ypXAg+AEnGGLzPgNSDCTBkloxUDzPyKvtJjbK++BYLCUYG0hj5nv8frMsD8RgSQSRUSMQgMEWJVhqjJH6wBO+xXR7kBu8JzqGERBeaSVnixyIsxkjb9Vjn2bct3TDgx+XTo9/OG3+Mr8ryHv6OzI7fMvDpb6P9PJ+sry/z1ocZPU+/2jH7WXKsn7UNf1s+Xb9IuiJlZrTE+KiGymBtSjnNJkaMyOl0ISXcaBQso0QpRu2VyiaaIZIIWJd9m0ij3w9AEjmtRJABlCiJKRGjx3mf773RCFwIMYIT+Z8Lnt4O9C4njxAzKBZSSZkSWmkG63BuwIeAEOoRlPLe450fvZBiBqWkpLcd3rpHz6tuGBicRaRAb92YmCcewuv4aQW9ILMQgxg/jx4RAzJ5nHMgQ5YJx4R3NhuU/wrnWwAxeEotOJnVOGfpQ8B6TxyZY4mUpafZ4QspBSFkc2SvsnQj+4bxeE3LOJ53qbJcQIyvGc97CCRiZp2NQJoU43eFeDSpR4h8Dh8YoyQigkhEJokWWbP+6MXn/ZiEloFOJWUeAI/XWYo5ovUrPnZkz6okQMRMb7be42PIST7jMm/6wAdwIf3GmVK/KnD1qwIy30gG+JVVpb9Tlucv2wf+tra3ryMAxsko5/L929IhVWZbe+8JsxmpSpRFBtFBsNlvM2tQKqbTmlldMyklU20yezAmfPSQYu43Y8T7gHOeQuuc/iUkSuf1qJCZpWpMEO37ga7PgJQPER89g/8VkdivNV9KRDDgC6h6ZCfQXUFTWxgUhTPUesaiOOJwckxoL5EUMIlshSUKj5SCsgChS5I4oD5YgSoJzJHhCuM1s62kGBKV0lRySpQKr7KEyN1VdFFxX/TUy4667JmHDRO/YCoF5cKgREL0lnS9YXdbw2xPNb1gOpwzURXLc4WtNV5FNjFy93KAjWByN/A63LCN96Rwgah1Dtf2HmmhHhQmQSclUUCZEtIUpCpA2TBQYp3CiYhsBBqZPWPShognyJoQ7SglNggbs1ynFNghJ8NqmVA5/4eoInFQCJdZuIqAJBKjzqlECexeUJF9RHsNU2/QUSAag0qjl6BOiOiQ0SHjDFJOu7WyACKehBcKih5hHC7OUcohgqfqZE7UAnbCUBDQMRGpUFaAlbSjrl7JSEGgU+AKjTaaTiUG6VhIRakhlIK2F8S2JO5KqkYSdYs1fWZlFxGloVWQgib5fI9J8rNWVg4hPagBFadEEo0OeJFZBDSBWCtQkagiaAsiEVOBanNaX1SK0CkoPXoe6NoAIadllrInRIVPilkHg4rIcqC7KtDeU5cDLp8QFImEBxOIZcCJnAomvCC1ElRCDoFJ5VBCcNCVrPsC5yPSSPrUgYfWC2bmGfN6SSgTQad8VpqWdHxIqhShkAwpIF1ERsXQlwQrEN0Od1AjtEbZHVYMBECkijhJCJ2gjaQyksoEU43QAzJ4fLQkH0AqvDekfUvqNvT9OUkLiKBWFqk8InSErSQkQ9QGUoXyAYKllYkkHFEM7Pc9sTUYZ9hu75iGmtJUtBTI4NCuR69a2sHTC0npS5QIpMLlB7WUpChhmxBHIGYSv1OQDFpWmbkmJKIKuDJidSIIKGICr4h9gTQteEiDxBUxpzXuJ8xTQ4o5XauoIKjEYBKRDqUCVWWIq5Y0WIKzODEh1hBmisAU4zrqTaKjIYkeUke9cwSRU86c6UnJg7NMXA8JnGjRpUKEEmknuGKDcgP1dsCR/aWEs8RB4kOB8opkM3hmOoUQGohEC85nE3Vd7nGdgzBBqxOyYEeS4oxis8elQLOQzKxDG0kyFTLtwA+kvqPYSaIWtMce9jn5zlZQdQnhE6ENeFvhoyaKiBOSIKCiI8mI1RI/N6Q+IYJAoRHkYJqwkwiriCnidEspBVokQh1og0K4kpnyBCEgCaoU6YViUApfltjQERMY0YBRxHJMpO8UOgiCkqhoKDyEBEoLSpUnoYs0oOOO3uTPRCgo25KhtCQDVhUEb/FtgL0lOENMCoqACZYq9LRUOC3wFRgBhUlUdUR3AhFE9tdyiVgIYpXorGFwgZAiioTGoUXHhJJgC1JfgFwTVMIphRaOiCAkiRYWoRJCwz5JSgW1TqyLkJnEwhMGQSg0+6pk4hRaeIQGETQhlbRllmFKYSlkwPgZxgtKFxBlepwsNkZA1Bg5obQKj0dVjlj1uaYbSqT0uSZJluATKUqSMNTjvrWFQyWfZ3mNxGmVjx85LTUiMN4QRSKIgIoShUKkiOx7VBAgJEOVU3mllIhQoEQWuvjdAEMkdC3dj2/pBkOiZH/iSZOSpGbUaUcILUXo6TYloStQ1jDtDanKcvTpIHLgwERTzhPBK5IXCLPH4QgiEGcReoUYCtSSLF1OJUsdULJAxBLnAz42+DTQ1Q4ahQqTXzhO+oaeUokHHOlhFleM6VGIHE2udTYLFiJLhsoyz8KklFOuQow43zO0DSnlQeaDtCXGiB9T7ADKEXzSRuXYdECkRLvfEUIcGQEBIwXLQmMmCyBHnG+bBusD97uOfdfifSCMHhOMrICH/Xg0FOaXG+j/fSkGHtrfyfbmGvstAEKMWr5/uC0lCM6PA7AH1g95MBwCklyMaZ/oBsflag3jA0IRwFqSzPGafdNlAKtQdH2P857e2ZyC9xabkBEEfvgXU4IU0VKymEyoqzqzn7qB6B0pxQxuRFBJsO+7zMZJib5rEcqAlNjgxvsr+109yP72+y0hBlJKWVo7gidKSSqdmZMPxuvW5nt53w9s+tEgPY3eRcSv1PnZu0pixlTNCFjbI+NAJRxf3O+xMRFSQglJHMGk8Baw/Xb7euH+4FlVRM+zIvGPDxX/09WGq9WWz+92WcJIFiarB4mjyLKMBzQm+PCYWKekzImeWqEfGFTG5IJMZg+8rmsJYYzMHfsYKSVmZIrC6FUyBkMo4x/B8+DdYz9lbU5grMoys2XIYH9MWSBqu5w9bkxEKp8BsTRmoozSWV2Z8ShLtFQjQyrQ9B1d19EMA0rlY/RwWvwoPdVSEUUk8s2K9L+P7e9KvgcPz9vwU8G4n+Vz99vcvrq9YgxkeHOfeue5ubnj5uYuT1JpzWQ2Yzqd8Oz8jMVsRl3lwc/gPP0wcL/NDKdhGOidoyxLqqrk6fEJR7MldVVwsJjhbE/fdXz28oLVZsNm36CloqgqTFVS6IJ6MuXw8JDDgyW392tu7lc/fUd+yVbdV8AA4pYuHrH2krWFWt0yDz0zOv6Tf5+Ls0OeHU/58GZH1xTs+gnvv/8BR/qGI/ma1ff+EdzMkJ/XHMwPSHcT7r445H9M3+dJq/h42/Lqf/sxpYezm46/WNww63b8/vUVN9/6Y4RRfISlqLZoHVB6yn/6G5hsJe/0BUF2HJQdx/+kYeufUhQHHM1P+Ffvf59X/S1DU8PLP2N3CS8/mXDMXxBFxUY8pyyvmIqesygpDs7oysCrcM3000TqE69LOHg+YxESsy8svNtn4PBH8OMY6GRHWd5zMgZr3BY5Jc7LwG6+RcwFKimqmIDdeCFBvYogI/enPbdNgXKKagdyZqFyVCmxaBwqRkK1YpgOWBWpdjXrvib5Am4KGkaGbNqTztfoeqC8qbDWkLzgI/kl94VhpxTkPD8ArgB34mAeOR00RpWoWCE+uaOPDYPwDC9bDr1jIiLNRy2qmWH2B8CrbDi+q/g8lpjeY2LgdnsLgKngajnlOPa8u3V8+hpMhJlIfCQ+5XM1cGsCYiI4FlNO7IzXxd1XJOzeK7qu5FW/gGWDPN7yvmrZ9wdc9WcMyVKkDbN0jWOCqwJu7sBeEsolUT/hwlxALxFNzUTcUgye40FwUXY4MyCA40HQRWgJGSPpAsVFTwrnmNQx6da0dZ2ZJkCve6KPiGvBWRB4UfIyLUnTOxQR81nFf3h+zGmo+F+/qvgRn3AvB9YUNNOECIbFF8eclocciIrdquH1O3PkXvDhn264OW0yY+XoGTf9NXLt+Pal5m/mkg2eeNMj7zdMkuRD9ryazPFE3r/6IatosUljrt+jPIZiIlh2FlMKYgnXz2/YEEld4KO/+ox0CMFMadtD1PEtij3yf4p0H3nSkYW2x6c5CY3Z/wXt/hnWHSFO/g1dYbEI0idHtI1ADJZnf15RveOQH29RJiK/dKS7gc++t+ffC8dfbafIDxJmJyk+05TiBp8KfFnSdcdcDhtuo+M7f3DI6auaxUWFSbeoqsIsavyd4FYY7pF873agCDuks1Q3GrNvqX3D4rlgFQ03u5JjLH0QbDrD9Yd3yJ2kuquoX09ZVBUnM83lJx0ru+dl2pF2K5piyWpyytXdDaf+ju+kz/nxH5bIbcnszybUsxvSBPzCsJ+1DFVBN1/wT90lrlC8nAveu3mHeh8pNp8QX32JazXt7Tn7A4Ov9rjqFWcHS0w/hdeHBO3R94nq85LuSQfSoLrn3C3BywFj1tgIJgVOZIftE0FOSIv3KN69x3LPzcFfU744Qskjhg/P87kMA2on8WFPWxV8tnyPD5uWOrb0xSFsHWozcHB1T7oIiJtAa1oWlCSR0Lf3rM8OWZ+e4M484QeWtB8YfueOsy8S5UZwU5Z05hAtFR9PLnk1h3UFohCkvSXtEz4MHJeWsopcUI0zixH36oqYZsR0zq68Z7kvWe411zTcpRleFPDsNUfrxNFWUBQwBM8weOAz+pQYkBTDEeEKrIhcVXeIJlE1JefyAHZb4p0FLHsd2U4CwzsbivvE7E6wPh4IDsQu8f5iRTHJNhefb0r6qsYdTUgvHPW0ZXm2Y+i3uLYmqRnXoaQUlhOxQ3IGTsLguCuK7AeXoLxLDMnQiznPuEEeBIangvbHc4z1LGXD6t3X9F5xuSqhAAhUzSXHaUK/1ry6cqhv38FhCf6E9182mMHienC8ZmDKPc+Q9ITQcdPvOHyegSmjBFf7Al9Ilk8Vu50kNJp+c0RZrpAhUe0qTNcTg2Qv59zeZLfgYThkni6BCC+AkmxuDRx0glQEXn10TdxHZC+pNhUA0UiG0wnxIpFsQJ3uKW2P6A3dj5/SnRXoKRz9zQ75XMBJJH6yw6EYBNztP+P1v6yQQfKR/P9w9P45h09O+N0PvkP1/ruYpyekTx3D9scMu3uGYsb+fk+3t4RXGnl4il4e8NScsxAeVXri4Tlikz2oLuonuOtPEevP+NOzErOfUDcl7wy/z/T5S07efc3vFzOaK8n+6k3q689q35gp9fXBcJbh5MFzGjU5Uj0UnnlZbTRKa4pCEUNOu0kjeOS9x3v3yOIoyzIXiFIS04ATFuUEu32b/U9mM957/pSyKFBScn1zQ9/3DH3Pft/ivGdwjt7aR+DqYdsemAk8/PsZ+/f1lt42wvl71N6eof6mBcxXUhZ//pLjnwzI5JvwF5d1v+o2/rbKWHxIGfkmYaQavZIYWTISmXIymnOOrutQOrMDY5JInRlS+2GHdw5IlEETRnmKhpySFkGMYBbia1emkEipx99M2DHCXUqFUhIlBUpplARNNmV03hNjBnfiyM8hJgqpR9nrGyCsrgpiCJnBmBgpYXG8r/KZnhYTCpNNyG9X90ipCCGbfb45xyKDLuN5zIb4b9iWAJ2PXG/22Cj48MNvExMMPrBrBoTI4Nv1zQ27rqez/hFo/srhyEg2QiQkgpvtnj///CVD31LXFe8vZ5wtDrjaNww+MviEGllMIQXCyCJTKoODIqUsIaoqhJQjCzCn24XgRqZGYBgC3lpiDMQQkVplI3gSSelHKWH2rMoFenp7m2PuSxNpLDZGH7+3rnujspTP+8C+y0VdEgI1elA9GKs/fMXHfDWqkcVFSoQYsNbS9T0P5mZxlJAygnNJiF+ZJfW3AZp8E5P0n/Wdt0GSlDKLGUY89WuMrb8tTOg/e2ro32H7+jPlbfl+ipGuabB9T980FMZknzap0EqitKaup1nSX0+oaojeEwbLxeVlnsgSOREzxrHPiominPBkMud0OXvs2+7Xawbbs2723N7ds+t69l3/jfbNnTqqbUm5K+jFHelQIE4E3Cb2ybBHkY4bjn3Ntz+f8tcn76CN4bRv2b76EZ9P9/zN4cDv/WDGPE2o65pr8T7pZM/58kvu79/h+nbNrf+SotNcrTU//DLyTrjDyyVf2HfYdhtmkw3V8hX/ZnvDvJzyO4dP+JPfP6RSNYXXxAhhvaV7kfjTm89gaDkbtvxIQhcl0u3wm0MsHvnOlvlNwltYJ08VLQnFq3DCyasdTga6OOHkqIcIzRqae0+fElsDya1IOuLPEhPbUDjFtinYqATK05sO0R+BAHkykO4rVCc5cgNtSnghCEWRI9CFYHIfmRUSCsktHUVzgAgF1nm64NEPvoUKUiGwywIjPSI6xPEO7g9JTY0QE2bbSNkUXA0TJgcNReG5uXyCpQU14I4cySUYFGzPkOs9uu0IfUevPV4afHqKnzbEYocYJMMchImcvtozJEdIhvPSsu41a6vhqEF4CUHQqwHh5gg/o5B36H2N2BzB4orZAKeD4DY6sPDES7apQIVACDusnYNyaNWjhoHJTFKcW4bXLXZIuHXJSsNQaUQJptkhoyVQcig8ndDcyxqKPcRIGiyFS9RBMaPGpYqGRINh5hoGJdmYCTcpESYeebwlXAac1wy9QZ/eIWKg35QMTKgKwelB4EWfDfLN4BiiJYhAWfTYYYkQCaEHnl6vWETJJijWOuFTwTNbIqeSVBrmSbO66Yl7yXt/MUV/dw8mcn+mqXtJcRNYqZfsmg7ZC0LxJeq+pHAJX2mi9QxD4HKxJUZP2RvM+glhNhAnkWNtuZsXdEZyGAKiTcQt2HvBVAkUBnt6gCKgY2A+ecWuKhkmCw5/t6GddVgdEOoQNRuQVUcQZ1TLKRNfEuX3qNs9YeiJU5DGZXngTBAOEq7WlBc14qkmfTDhyWXJ0u8oTQ/rhHR5csilknlI1GFgzw0LEVgkjf5EIZqWJm64cwvSiwntEHnn46cc14a2EuyeO+q1Z3El+UNxwku95lrsmN07ZGoxBq6Hktp7TrD0MSFCjRqW/A+7l7y4vGPHSw6np8zPF3xw8IT+8xt6D4eiwfyeo956uDjk9FXETiX2jz2zL9/B9B3S3VEdfI+hjHTFGt06yo3nW58K3LNP2C4CrhhQPzpCdRJdNKSuQqgefdoTJktc5dipK25vlrheQ69YpC+QSeKH51SfbNGxI7Hh/tmSmATrixtq9wW+hmscz1/fkoTnlTigERHlV7Sf/iV6/RoTA9PlMTfRYi1Ur9b8WbcihkD/V0vmvmciLcum5QLHpWw5bgT6ONBMEn+uPPGlQPmK74QjBtsxKMvta0PqZuQR/Q7qHU5JXgxPGWwOIggiom2HLLIVzqqbo5JiEhqsBv8whHN5jEkJ1kcInkNh2UtBZyw2JDZT6CuBsEfMupYqdlxOJtTWMnWRLYoi7SnY0U4sJipU0lwtO+Q+IfejP1QIVP1AutUMXcVNKtGbHWhBKBT3rSOtJHGlOB4UWye4az2F7ilrj5kKNveB1DnK1OFPLFhI25LOJQIDRbHLXrPjuLoQApEGYlqxEgfQedJNxyy0VCYSpgK9N4ggSQL8oUfbSH2XWD3N8uDz68h+JXHG48Q1QgTcTHJ7qCgvZ3gl8CeXmE2AIddTq6sjklGgXubxV0i4/S4HBOg8PtFHC4pyoEj3dHeaYAuQ2YeWGEmppTqIKBkZmk1mVo2tVNkwfndlMNohUhoVIgLpJdPLCaLfkHRPU0CxEVS7DOC0zY4QHOGdDl1nQkGHZYJnhmRiA1sJvTS88mcM1z3b7Qt+9KJH/vUnlAvDB3JgKUvKYkr70Ts8ebrnUPSwnhB7S+qv2ERJaFusdVxs32fZXDDt9qyXz6l8yfPqXerDBq08UtzDd16w2ZS8+v453f5H9DIy/BIOCN8IlPppHh1p9F6KYwqVgOy1MoIY3o8MiZEm/5BeN5qyjK/j6EUV0GNcu3ycJQbhEs2+QRuDHGWA2mRmAkLgY6QbHG03YL1jeACkRpaD+Po+/AIJ1v+//ez2qx2fX12uB18taH85IOyXa79uEfvzlvnJJMk0ptMl9FuSOSkfDPKz50lWqI2g4cg2eriPnLWkFMe+LY6eQjKn2YlctEklyG5QXz3KUmSJbPZye8O2SHGUjI0smgeYVanMmknpLeZVeiOnNUpTaP1YLGqjiY9gbwakeJCapQx6lEZTVSVKKW5X948F/pvD+FX2khhfI8BIOW5bykaG3UCIgj+eTanKEpLg88sbQor4EB+j4L9+ivJ182Z9D6/3g+X1/Ro79Pzuu0+YzebMpzVRQOsirYtZghgDIQZizEmFRusMoI0+TXVZwgj8JcadS2k0c0+kmPuuBx8pIeUI3keEHL33YuYeCXJCR4g51VOK8byOss/E27/5BjSJxmTZZcxSqBjTKL2Tj0Aaj9uTcDFk3x0pxnXkPtk5h/P+8dQkMoAlZN668WJ968z9dJj5V5XL/bLtF/UFv8z9+atKBR8XTzymEf5dt5+173/fwaqvg25vn7PgPd45+q4bmdmZqWgKgzEFMxdJ8xmyrii0yp51MdI795hsqUWeHBBAURRUZUmpNVVVUWqNEoJSK2LIXnreWtJbvm6/9n7VAdUkigCILicVFZJUGFzQBG+YFw2T/ZR67bhbCg5wHKuBbrhlUwXupebj9Q5ReIpJ4N5GhOqp9AbNAZ3s2RvLk+GOtq/YtyUfXO4JkymrSY27ukPPN3i958XNirlxHNkF777boSrD3tXY655h5RmuPC8vrwnNnma7584cEYSiTonWljAR1AeeSsIgEin6LI8Tmq0yTFpHxONVlQM2UsLEiGsFFkkSEj20xBToS8mxjBRIdMieI0nlPlIEEFoia0nwCjFkloPU6VGe7EwBBCaDRRWSqPJkT3IGfEWInpD2ozp9nDxQedIlFB6VPGXlcdIRKACB6iUGBUlQ6kBZeu5khRADSUDQCoJHKDC6AFvA4LHW5RQ/FQi6wBd7Ujkw7yuCgsEI6ltHlBH0QKUjJkpUUEQdSFESnUKq8PisLx2IQeH6glR1aAWlUtwWkuSgconGKlIIWG8JWjzKr8uoqHWknllimRBRoVtDV0IwEVE4hLdIHxFBUaaBEDVFKnDRgBdgLdIrDJJpFdlGSRsEO18yCwNKSFQStEWCSUQuLPFaQFKoaFDlFhkSSWVxJQr0BJTNchWpFUOR02+lEJjBZNmg9JT7DkXiXis6SkiSMkClS6paUR0E2p0niIRY15TtQJwn/KGmHApUD8pt0A5ImjBx1J0HKXEzTRgl7V0dqJpEGSRJT3JYUxGYycTaKKJQqOARISAcxHaCkQqjFemgInUeYQeQWwbOsLJmedISXSJaEFKjiw5VBQQFhYho5wnDAmMlqTeEiccULUo4OJyQ6tGD12nSROOXAv9jDV6ilc8SQZUQMmG9RifPPDqSdhwkyZE1SF/iVMBVlr1t8TfQtZrvflBwMiuhVvyl2aGahA6BOhYoDE4pYueQylHohl1Ro0VCK0sxSISVyCD5xLaIVcvBsOW7z0pmi4rlYkY13WK9YCLBHvVjBT3hwMJQBvZngfp6hukFhjWVeIJLAxPfUKRI4RSTpuBe3eIKj9WJIj7Pz1+zQqtINAInKpAFUUvswUB3JxiEwBcOrTpkEgyhg2FLZXuq1sHUE5Olu0uo1GID7Ic9jbMkEl0vMoAtPJt2S7XZUQpFOkzc64iPcHoxcF912OSQq4QrezoRUFGwVp69CkxdgRQJr+DGRXTbM+kj836OKjKgIbclgQpbKGAHwhOEYp0mOcXRgSEhywFReKKXWF9BKJizxwtJFBIjQRKQKZK0xgUgBaYiIPWAMFlGbSuJrTVyXWOMRSPojKYMAeUiUQZ0sijREQwYLxA+sq8j2iaMEHgMRRoovUO2JT4YvCgx7YCsBUlJuhDxVhG84lQ+gA0BpTxCR6IGZxM6BkrtaGeBtJcQJU30KNlT6OyjmPuFPCEqdELKni4ckJJA2J4DFdE64bQAm2fmk0hQRxSRMkQaAzpJZkIiB4FyASE7vCpxlaJZGLipScpDtYFdxhOSlAxugk+BpBsKVaIE0AwwLRBa5T50ohClRNmsGvFKkRSj80fKL5QEk5Deo1JApvx8k+NkdNkLdJlf+5hwMtuHyAEqEklC60uwHuEkJkWUG0iqJxw6QhKkQeCRGBHQ0qMVFBJiUuxFiRn2dEPDq5uI2EeKRcBOAyfilEl5yvqkwxx3TCcWpZbIbkC6Ad9DP+xorWXdOOR+QPQtg1mjvYEkmfcKObGkcmCYNPj2hK6d0NwHhpnHzX/xuPs34in1AOyEEHDWPc5AGq0xxjwuFx/8Zboev2/o+n1meSAoC5UlO0pgdIFQEqHEmOwVcC4XbY8FrBTYYeDqdcvN9V0GpcqCvhklMuFNPNRPeFj8F9oeCpa/S6AtpRF7kV+n9PzDbHFMTUsS/OgXBdmbSCuJSImirJlNppweHxPJclKRJJ11SHKqpNIGIQQhRUpt0KN8lRG0cTFL9IQQj7I9AZT64f4bAS4/mqSPhz+EyH5occETUhqNxx/YSZlFI6Wk1Hr0XJE5JdCHR6+j8Jb/mlIqgzUpUSiZJWAiE336rufi/p6m60f4403LwFzeZv3AyEnw7tmClMCGyHq3p20Hus5BDHzv+RO++/wp//2//Fd8cb/l9WbP7b7B+4D6KSypDK4BSYxG3hAE3Pae63bHq33Hu4cHfO/pGe89fYKThn2UvF5v8SNwrh405lphylOcc7RtixmTO2OMVFWZQR9rGazLM1cxoqv6cb+llIQQ6K2lMNkofRJDZk499HFpjIp+61g9AJqkvC7/dj83GmC74JlU9eP5yCBk/t340J9aj9bZF+zt/lEJRakUSghWSRFSfARkVMxRwv9F3Lj8FODqQTLOCEz9lkjm3k6q/YfY3gbaxFvX6/gh3ju8d3S07LZb7sqCoszJe8vZnNlkwunxce7fYqKUCZESMXhe3K5YbzYMduDHLwrm0ymL6YyzwyPOT5+wXMyYacVqteF+vflG+6GHRBFaKtEhZEJuNGYwDM8H9N5Qbws+uvsS4Tw/jAr+/N+Rygo3PeD3PjziYnbAJ5NDPpn8DfdDyXFX8aeX/3f6ywl8+YT3RODp7JCDwwkn7afERUH/j58w++wL7suW+++2HP3bf0+0FbfyOam+4qJdc/HJik8v/5yuO+PVzcc8u/9zPD0r8+Y4f1kIbA9VqjgQC7q4Y9INfHBVg+8Z8MCeRmioPRx8zvq+JBmJftowfBqpWngiIpfpmJYSh+L9wSGV4LIw3NWpTS4BAAEAAElEQVRHVCnwobjimoI+SWpfM4krYgpskDDZ41NiuxPsn0qCkRSXkC5PSSh8fcmVNKQoqGwNakeSPWJ4gmaNTo6uKxDLhEyB8s5ipwNCRr79ScHL0LIZE4J27LFYFgjKyzEpsrrMvZ9TpE9PMcWeqho4/6Dl5kqxWS/pyxlGrCjklrOTz7l3iaZNPOl7NsGw0yVNkQ3ZDzvLfVsyERULSn58BU5URFHw/tBillvUosG9PmebelbmmnAzYygLdpOCyz92pMsB9UVm8bVK0RhFen6DbBTivuC8eg/BDt/ccP9McLCJPF1ZfvRtSE2gvO7oT0rqxjO762lSQovAU+N5dXtIEo7CrBiGJwyLlv7pl9z1GrczcCO54Bnz0PBud8nLjwQ2W20R05yKkvdkzc31gBIDy9gjRhDzx8lRtAXaTLDvnGOjy4Xgq2ccpc+ISXDfn3MZX5FKaI4WlPcHGDdwEb/kv4nvc+gEw/6Kw6Ml81nBwbsLZv4YbEQ/aXm5nxJ2jievtxx9e4abLBjaD/jwwx+gxZ4unYKrGGTg5dRytPkWRhWs/tknPNtKpoNC+QkfrCrSAJN2Q/igxR0b9M1HtK1COsui/gzvIl3vuNhG9lUJvuBA31O80tQ7hTq6RW+nqH2F0FekvSe2CbmfEICAgv4JQt0hdMfAxxSmZ6p7xKKh305obwz/4uZzbroOFMj3YBk9tYv8zfUsjwcEcAJNk1A3if/j/+kc23g2Ny1/+f0XXDiPM5H/6p9rPjo85cN3l9jP/wPrfsttt+VftrcMcaA0WfJfes9RCHQfHbE3ib3oKb8sKPqGMq5BvMvLVy3/48s7Xk//gu/8zhP+4J91TJspk8M5/vmS2atXbI3g5o8q3i2fUQw9YncLpy3RCMLsOfFujtgbVFxQPd3hjg7Zf/Rtjt3/l5gsTtcUTypUFzGhwn08YdcfcfXpx+iwppyAnpY8kxvEYg3v3WH6M2gkzu/48k8iUc1YvPo2Z+sXiLQmvFexa88J9YTTxROuly2933DYXvKeegKV4dOnDR88P2VmQe7ueX/a0+8N1//hnPSHU+S851lc037icZS4P3ifd0TNwb7lVpwjLnus9JTlgHvP0+mGm7/8MTfLU9riAP3SsHpnB5OG4gWkzQwwpLMmg/BW8RTDtna0haW/mCNlQSEMUyx7N8P5ivMp7IuBRgb64xPCbofrGu7KCEVECsfiIjE8neAmEw5WHncSuX0K5StL9J4ueWJ5naWksiaJjtQ5UutJT48og2fSW644IaUtIuV+R6kOpXq6bo4OltLm97UOaB14DfgDjToyiC8TXYJ9ynhNNQ0cLS19AVUKHA+BWN6gVaAWlqt2iVCJsnCsyxI/SbiDSHm9IRUBe+BYDkvskLhqLN28z9YSDo6kZALMpKS9LOjTlNfiiKA/Zx4d7+wVn5+eMFQlojPsY4dyieJ1ZoMlKfB1jX4KOgq4rrHPBPjA9DOwz8+RNVTvvqIvBb2V9K8LjodELQKNtiAiWSI04+oWKBPybMpTf8PUDqg13BQFoRCcHg7cbwpiL3hmLS+mkZ1OUO1ZcEgRDrj98YRtcc+uGOg6S0lEe4F9XbAbarwvEFQUxRZZtlydDZzfHHDaTAnlKzbTAa9AXErEZMDXgR/88IRFvKcSL9n/9V8zfCty96xkOvmveaYPOC2XLA6gfbemrlq+ZTeE26fY9beQ8T/y6f2XXNyveP9P/ynpDzz8buS98mPm3xacf+Q42X9IF+a0afGLx0nfYIz1OFh8GKiTEkKKMXXqzSx+CGGU5fksXRGgpaAaU7yUUpRlgRpZH0lIIin/82k0KHV47x8LtlyUjWwE7/ApQsiyJoF4I8vjrZlXeHxPjBudvmaL8g91YP/Q3sxCv5n9F+Lr+/1mMPp1acrDYX178Z9/zH4WEJhGOdCvzkz6uUbqP+fzX/V3fhPtjdfTCMgBCB4NrB8kVzFFfAjYkOV11gZ6mwEkrRXCh0eWC0Uiap1ZRKOHkkiQ0jggkRIFj4ECD5I47z0PaXYIHs23nYwYaTBCZGBLPnBmHhDEhx3Ir/yDXC9GQorjGRYPBEiQCqUUQqRHxmNKEevcaBzs+bqf2AMUk0aJGuQH1t2+B5FnSnqXARJJ4t99/y/58osvOT+Y0VnHtrU5Pe/BR+NnnM6vXvPZ0DGvU9C5xMv1nl3veL5vOZzPOF4sOao0jRWsO4tPkSDzdrTDdkwE7ZmQ0FqjlcYNA2lkPmWmkxjZauLxWCVyX1kUhgdD98z0zAypzlq01CNjTHwVkB/BkMyaG5lLQjyytLQc5XpjXxxjIhLeSKoR6MK8kTHHNBKgBFLL7BE2Mt1APN7z8uH8CkGMI9tsRPrEWwc48bBJbySIb08QPLKr3u6D+Pk9wcNy6a2lftYdK7724pfvq35xE+KrIOHX+8pv8vu/Covr6yl2WskMDseH8/YPaxLml2e2Reww4J3DDpb9dk9hNFU1ycmjSlHXZe4XZQZt5/MZC2Y4H4ghsd7u6PYNn798SZKSg/ksT7DpbzaHJ9cFsQ/4GDhbQS8Eg5DQnONbiEPgSw3HR4qjakL81/+IeOiJ70X+Q7+lubhiP7zErQzJ7ZiHhuL9CfpppD645Pz2fQ6OBo7e3XMbnuBrTZiv+KQu6Vdg/9WK/UYgdY/avKafOWQTKa4jeyOw1Rpx+EM2jSU5gASnnmJITG9hdtjhYuCuDUg6nJB86Q+ZnzhccJSbgXjmQCSKTYEPhySdIK7xyWJTxKbEVOwoZMdGF9z5OSkkht6RgsYlwx3HlOyQwrKSCVmqnABE4NRKlIWmNCjvEUFihwOk7BCFxx471F4gbPbxqLxDBccivSamjpA8M/b064qoC8DCfoFPmpfR43SgfJRVaPzY/8oQMONETQhzgjCI9+8Ru0gcYHXb4R0YI3GUWfIuQGigLQi94eKsZtImjjvYUtMutjR1g31V0CmP0Z6JbIjJkWLBBkONp7SBLXtkECyCIZYOkqXvIcWSylumzrExhjJGKhe4v8tsmiTg1RKkrZB3xwQZ2JoBd9ohbw1JJNKBJd0XeK9oi4LKWpxPtL0nPRHEzjCsE9FEsAH5KiJOA2IWScKRektr4bKv0a8F0kSijqxmLSJ24HfZIDtJNqJg7mYUneN2M+D6A2RXYKzHcYQIAW1u2A0aYyLnBzfsdESEkiebAw7ChkDLTUp0uxWVqghPzrmbGpq54t13ZmzDS3zco14P7G+OYV+x2Z5z8aQn2p7TH9zjzz3CKFJboSZ7Khl5/voMf6ahEpx+cUw9aVF40i5Q2S0iQDIFYr3AdHAgLnDnEygShC23y0P6gwnPDxtc0ZCEY9YcE6aRVAWM7/EmM35SE5D7Q4St8O/vcCnlsUi1QewGVBdQ7o5wUOMPpvSA2Teofs/9Z3/N3q/wC8vxLuEGSe81x4cdKQVWfeJ0K9m7yCs8//1mxeyqZfJih4qOw2VALgI/+p//31x/ecriWyfMwp7mSnF3sUTrgK09bpGIX4JD0SlNuBjQwlGKSNlZIoK+LIj9PV3U+PKY78s1n72+5/v/r8QfFEc8OT3g+dZRLhJTWxFeL4miwU165IFjc1dh1wL7IjI7/IKqDpTTgRjA+i1N9UM0E4qNZvJ6T+/usTNBe+qZXu6Zes/ZQhLmPaIUzLRCvhNIaLw6pl2eIqdQT7Y8LTQpBeT8iu1CIcKMqptj/R2DCfj6kN4fItWUszIhRQOy5x1Z0wbLptX0L55wru4xZmD2J/cUXY24LTHTxOS8wDvN8HpDLDy9brg5ukPM5gRR0t9veScKKiF4fQ7DskAIgyzuCauE3AieGMO1Mwxe8nyz5m4u6A4l27uC3mm8XyKEARJeOC6WiV4FIGLXNQMFTkXgBuWhHBSVOkTVHbK0eBFQO0/yA9Y4Yh9JdwaRwCtFEIphqGA+wCx75tk5hAmY2wbbFzhzhhENs4ljNpXcKEcQmXVaXLVIsvesc3OY9bBoMHcGnbKh/mHh6VrYfa6pBkU5BEwbEe+CT9DEhLbTnO5YDRxXLSJAtJGuKJj0iclVYBsVUUFRw/3GEbuI7gfOY8JJxU5q3J2gtwGVPNJajIRkwERFDFNu0gS/MaR9yOb73oBQiCSYOkESicYA692bAWryBBNoziDoO6SVpMaglSB6Rd9X3EaRgbTYYdwUI+H47Ia7/QIbJabZ0UboQ4VPUwZXkqTnyl9lo3rAxkiazhFTCXHLdmsxMTF9Z8dwr4i9oSx7TOgxeBZPJLc24AdDWmWDf4IiXZ3Q0ZKqLabrSVIhjMCeNZSdR22hiQMpFSShIXkurgTrrUfrv6CYSIqJ5LAvOawds0rSHv0T6riiml5C1cPiAxbvfY9yt4c+kv5j5O6d7/PqRYu97Dn/X50xXxwznQy/cJz0a4+y3pZtCHLBIoR4lAuplGfuETz6ODnniCFSaDkalhd59kkpivE148nILICADzly3llHiG/StaTMPixpLJZjCISvzaj+3CZGzxrGmeZf90D8mu03EU/+zbfhrW15ADx+wWZ8VQb1qxY9Y0H6QLb4DdRMbxdmP+0Y/rJyll+2EPz6sr9MIfq2bOyhPbCSHuLdQ4g4n73PnPcM1mVN+Ojp83isEjlVDZDGPL79RlKUK305spre3gApZTYofwAOxm0PUmaDbSEepXlSZglclt4yStfiI9vxQbIXSSMInMa0P4EQORkO3mJSjX2ADzGvWz5CMz/9mI1/94NDiMzOcjGNhuCJLy8uWd3f8WpS8uHzp9jB0ff9I+jy887LIzCUHpL18psuJra9ZdcN+BToB4tJMD08JMiRAhvFKMEDQsiAuLM4VyCEwGiDdxkcf7g+pMi+AG/v6YgL5nMZ81Ewo1m6DwInHFrkgIi3wfWHNNAYx+M+pgQKKSHERzle3ve81gREUp5FHbdJafV4XmKICClIMqFSxMfc7+Z+UYyrfwAN3/QVj8f3kYL2M7qPt85Devu/j5GFPHpxvf0bYnwvfeXLb6GKD8fkp6z38XZ56ze/zs77Re2rgPbDj7y5Xr7efhM+fb/OskKA1gp8TmYM3v9GAamfB+z/Nra3xxu96EdwtkXrLLutphOM0SitKJWmLAxaG0LIklY/hlB01tE7x75tmE6mTMeI71+3yU4TEtgiMfOSJBSdUqQwRYcBEyy9gWEuCAsJk2N07TG1ZbPe0q4b+vsNwb6Pi46UdizFFL20zE97joJkcQSz88An6xqrPKQtr2tJvPIUX24YjCIJC7st/lygeoHsE34HYdmhDgbiZEoaJDiP0hHjI2VICB0JydOLQFHmvqG1EjmpSFEg+x5fJogJFXPyVSTincAJTdKRqAO1d2gRkCbQ+CNikiAs0gUSilaUHLDDEEg6J7khE8l7KgcmSDqjIIV8TyuJlJZkLGGu0G1ChEhK2YxcCU9FoE2BmPlUiF6RhIHagi0IvmAneoxxaO0xXhCEyD4vaQzUiImYJCFogjSIaiB1gjBImj4iCRQlCOEQKWT5SARSTmHalVPK3mKSRyZDZyRDLYiiIIlIkg5tPCHkcI9WqjzR6xI+DRRRY4JC6lyQtsqT0EgRUDKQUoWICR0jqjVEJBHFXllkEMi2IuqAVRCMR90VUEbizKHbADIxVBLjNClKgg2IKkKSBFMgtSf5iGslnCWkAVlDCA0hGBpqZntQKpKKSH/QPo6tK1eRksJTME8a7SO0EJKCIDBbi5MKZETqlr6QCANV2dEajbYFSy9YlJY+OlIrGNpAP0no05JWK0Qh2M0F7X2Da9ew7/C3U0Sj6axhu08k5TjZ3OEMpLIgDgJVeLRMLFc1u6NE1IHZ1qCNQqhAHBxCDaAFUU6y3KaL1Ms9eqYJpSKsFK42eFOwEIYYHfiEHCYM9UBUIHeCKCQ+SbCCFAuEqrEHDd4JQhDE0lGEgBIBQk+oDX5iGJxGSY+KO+R+BZOWWAfkFkKXJVL1csAWEVfAe7ZgmwIbFdncb1netRyuGs6EoK4iehZ48ennXLk9k9jwj4/mDJuK7UohZUCZfA69zFLbXinkYNHBY0JCGglaEo1AdT3eTmnlhJY1t1vHy9UOPYOuC0gvOP+9kioAW0ko+pzqSCQgsb2gvQM1X6EkOS2xgSgs0bcEeUJKBtMmrOwIRuGONeHCI5xjOrW0ZgApKKJAzD0xCpKrcaVGFaBCxVwGUrR4aQkTDaHI8l6VQHhCHDC2pKBiUQu835G8Z2HnXHeOvknsdjVzU1LPA/JZD39TEXvoFg4/KQidYrga6BeRddizn3SIyRTI4TCVU9RC0lZZciljQKgO0WtkkpQLSSmAFJl1HfsFDKWgE4HkSiSaWCRE9CSR2JsMAqvkc/APYwiY75DBIKOhdAYVHSSPRSKsyAnWOiG8yOC1SiQhIWZgBZllcmaAKHNqn9z0JF+QZI0ULapIqFoRVUCkzCQS2iGiICVBEDXCBNQE0p1CeIUcFEZkIFU0BULm+yS2CdMJ8IlBgEgZHMlJggEkOBHRKlJ4KHpFKtW43kA3eHABITylzeng0kh8YxAhIpEQHUL4PIExJuPtywJpA7UMmKLHK0GSAVREDpqEAgVqGIBEQKBCIKqInQuE77OMtc1SP6JEBUGvS4SKFKFHBoWWkWnRsNFzvJNIG7KEPUoGUSKihpDYS5ik7DXcG0ha5wApCUNKuBQwVY9gAlEhpxY6B0S0lkiZEDJgVkMGB6OAocBVDVK1FCERgyRpSVkOaAtykCTpCaokSAnsaPbQ7SJeXGKngTBJHMQZ7xSBo0Jz+7xhUeyYmx1V6KFaYKYLZLUmvYS0ScTjNc39nu3rHrme0KKo408Ponq7fWP5nhQCI8BIgR7jlbUx6KrKPizej0XXGHWuNXVVMJvUmKIkpjeypgdG1H6/z74mzufEr7fam2Lja++LXJg9FDI8sgJ+sj2wux4LrW96EP6eNqWyjCwXmRmEGMMIv9K+fhwfTsmvU/e8YYqIf+jhe19rY+E+MnNiFCQkRhs6G8D27PcN26bBhTACtQYhZfb3GdkqCpnT95RHS0Wp9aMptuRNcqQx+dZ+YCgCzCZT9MjY8d6PUr6IViMAlRhnNDNIFh6QE0bvN+9HYEQ+Aphaq8cvOu8e9zYqkV2hRUJpkQfmKKqizJJcEXPiUHpzPyqy+bgSYjRSh8G5x21DjmwdBCEmJkKhTMnxcsFquGO72wAPbJZfBjAUb/33LaxUCC63Ldfbhh+8vOS/+/2POF4seH48Y5vMA1+JaXXAerfji9cWNww8JOKlmI+R1iNjKQExIkTu52J4AGUewI4M6A3WjgwzQW3KcZncRxVq9NYbdy6mfKwetlep/IDOBVTA+kCIcQx4yEmjObUPhMzghXXu8bOHm3nf9XhrGZzFBfcTTNK/yyYBNZ5bH8c0wV+mjZKv3wRO88Aa+23iICmZmcZCeJzzv/gL/wW0t0MOspR2YAx0Y7vN/QQiT5wVRUlZlpTFhNlswmIx54++9QFEhx06/vqLF9yt7njxZfeNtqnoBMNpxf5EcbA1xJ1maDRiPvBO2vMtt2c9AYtn0zfM/ukNp6tz3vvxc87al/zVneE/3s358P/wDie6pbS3/PPumFlZMH9u2K9f4atcnPz1sKN7uUf9zepxgDOYO5I6g2QhrYi3C+LUEb69ZflpQq4TcRM4+5Mn9IPj+rMrlp9FZEx0wO3NEpEG5vE1/sMPKYPn8PWXvLSHDFrD8YTyWoBx2GeWdzev8Dbx4iZyr04RxxL5bE/zJSQb6E0HQwDpYb6hsAMyZvbu0FtULDhaPGEIG5ztCZeBthdMApzGxKoApp53Fhe8vjG0qaQ2J0SZ5X59f0B/6DEqcnI7IYmOmCJrFgjqMUG2ISWHEJG6brCzgSAj712X3BlBKxOmbdmWJd6UdN0UsKTUwQ8mhEkLlUUW50zVPVOz5/BwxfV+YLd3yAtQRxZ5FOH6nG0aaIsWaPGdJQ4JKY6ZBpgFzz2R3kqcl7AEHyTWKp4PA03s2cZE2y3pTiPyiUdqwXYpWD8XpC+OsLKnK3Mqofc1zk05ePmCAUMrpnBiqLqayYs5aySxDYiV4zk3dFXgbg59d8ZhsDwbtrx6vWU4mOB/Z0Hx+S3Wwqu0RKYdkzDjYP+UzfCKgIOJIwI+aIZuSjXvczCEzVKYGCusPeK6vEYKR21r+sMLiIK0K0llB0mAK5HvdPgouLkuOR+eUBUe8/QTbs+e0fUL3I9v2TTvY4rI6ZMvOPg3v0ucRX7w9EuOv+8wO/AnLWU7RXkF+k85/eJd5ExS/fGP2P3wD0mrA8x3OuqnM4pCUC4bjl63YAPhbAtxQnSKYFdsPoqEo4KFKikuelTn0Idz2nhA38xR4QlPNzfosMNvp9kAWSRScJmJNvOEaQmXR6hNTUkine8I8w0DFWIzRWwqYitYf3CD+MAzq0uC35HsPYvrBboThL7iv3p2xJ+V8Knac//acDYYzoPis5cwnDrExwn/o2f0taWrO/7oP97SCM3a1JyGIQNBKH5oI+83ie/uEvLjJd3lntuLK2KM1HeB8tKxrqs8VpeJJx82+HWkv4K7s/c4UnveizesLgq2QbLFU1UVMU7p/RH/jtf8682G+KNL/q+H7/GkHlg6y/67C8Sg0Z9VHC9gJyTXg2bt1qRGYajR1iOF4mRfMjyx6KVC/c45B5+sCUHSc8jt7w+wFdRfeubbHkWPcAP6ZEqKBdwJ1OJzZK+RPzgm/okFCszVdzipXiFEC/GWUs4IXmI/2zDdzBBS051JipeKOCj68oTj6DlkYFje8uoMhmnFDMOLsmMfGmgvabsPSU3J8gZerF+xTvcMGorLHWpQ1NS8vMp9cYkG1o/PBmPyc/vLARahY5YiFynCBdRI1slwKhpqY3n5HMyuQHUa9iUT69ChZ1cNgKAEuM/jx6H0xPaKEAqCruhYYOhQ9HRFR+ELdNL0Rz2mMejGUFUtDCBvSk5CRyMMjdQ0puHMC45s4Mdpyioodo2gX3acNHC8E7wqMw6CAM4MVVUySTX3/QGx0Yg7has6vChxcgaLl3gr6JuSp59CJ2FVA2yZBc87O8Xf+Bl+4VDnHR84S7uf8Xl/DAOo+57UbCjaDjdN7J9J3F1JSIFBtcj9txhiwV4kyvIqm9K3mrr2sOjx5zuef5I4n0o++j3N56933PWRC5+46Y9IrqYYJhwdvyAJy7opWfR5kmI9EZSrkqJNTIeefVlSEDkWDa/P3qVD077qiNWalDzNK1DlCq1qBnFOkW6RYqCqVpi+I4pIu5QcbSYoFF88byk2LdUKtAm0dkbvK9Jfb5nTUJWO3akk7iKpk6w+mcPhhKKA98Rr1hgaJUn1S5wr0LbiibJczDx97fnwDq5PCjbPNOIq0M41Q1FQvNqxtFBHeF0C6znprmR9PaURG7TYg/gXXxnbvHv+A945Vyw//mOaZYF7z/C/e+8PiX9QYXtF/Pef8m9frPn32y/5v/1ffv446RuDUimlbBZJQsnM6vDOEYbhkQxTFGakHALkgs2GRDv6vzjvCD5kECvkWc4HVsZPrO/h79c+e5SzjMyTt99/aOKt4uSnsVf+Ntvf9YzziNuNxs3iUVr2iwCpb7DG/EeI0fj77cLubd7dr/nrX9vOnxqb/jPfEF/Z8bdJXF+RG739vbdW9/V1fVXc88CsyMCsEAktBSJlhop1WdoWY8QF/xUGk/c+A615JaPnWh60Szmm9nmXDciNgZhlgKSE8Dx6O6X4Jr3CO5dBkJhZNUIAUhD8GAQQQo5mH7c8ppEZFQNCCiRyPFSJRCT4LCETApSSFEZjtKHU2TA9jqyt4H0GSbzPqW9JIFQG6UQiMxa0pjSGojA8GHnbwb5hMsrMUFICalNyNJ9yvJhy11ru9h3rff/YZ7xxZvr1WmZ/JqIQ/NnnrzmarXiymPFHf/DHTCdTCpMNkffzKcu65Icvr0hk5bhNIZ/5JB8BpxQ8Rqv8yyIfszRedymM61NilM7lyzH7cWWQLo7AfWYqZUN4JUErOTLbZAYlgSTMeE0lfPB0fUeMgpPpwQj0B0KKhPH3C11QaoWSIjNE+p6277nWiSenpywWMxbLJUPbQYwsJhVt2+GcQyhNGtl8vQu0fccwWHa7JsulxokCJfN1HVJCjf5kxYPfVYoYpfEp4kJk3w8URlMXhufHS5rBMzjPtCyZ1xV1WRASDM7TO8ftdkvTD/SDGz3c8vFp+4HBeQYX6JzPxsfjyX2QeP+q18jjJMZvAaD+0O/ElGi7YbyH429ctvd3/az6VdvP2v+3Gb4j+Q9iyixsH3CDw7keO/R8OZvjhp623fP5q2uEkJTmmw2Xmic6p3XeOu5coDURTgB9zL3URKU5i6doW5LchrPtDYbE5amkuaopv1Pxh/9UUaQzZNGzPqpYrbYM2xXt6x00DqIkfabwQyTFAXtsMfcGdAWTCUWxIrYSe7dEywIRe6Tv2ctEbSqOw4Kb/V0GNwU0zwS4nKBU2luqVHAo3+XlekMsBuoTEENADAnjA0dDQgzQuMgeQwyJ6WAZjvagJeZC4Nsl2itOrKeVDl9Z3JFAbxwi+pwMtdFIWeLmBr8rEX3iyPaoMGVQFZvZhEHcIYeBy61hcJIYwX4RoZshneOAW9rS4WvFOs6QySGC5aAPOFoQikO5ANMSU8cW0ING64R/5nF+go+KxUlP1wh8L6Aq0alFJs8wlBwoRaUCm36Ln1q2CvrOU+4WnLaG22fXOCcptgq4I6qOXlpoJsgEZZHgqcc1Pfu2Qw09qjL4haFwCVN6dOG5WxnUxFPXkeE24F1FuplxerdDOk8cEiuzBfFmgsHMO8pJz8QlJo3nYN8gtxLrSoY0AVGjlEOpjnsTSVJStBp0j1ORW2Ho55aUwFwmhI+IOiAOBp7eRQrfgn2NCYIoKwatwGVud1n2uG2FFIlCwKE/JETNPnnskSMmj95ozl1NMJHdqcVsdU4eBPRak1SBnS8p/AYRHJdbQ6dWGJl499RzaTrurWD/pwXl04bpGZzYHn02IJYgyiOi/AJaibo/xVR7/FBw+dkfYE8rCmn58NZjh4F+ItCnU0y5gQB2/R7lfIWoW/x3FHqvkJ1i9+HAPEmkK3BrgbIbqrDDpD27I/B1YNn2SDtFYpBLRxryJF+zrDFHa0x1D7c91s7xm4J6vUYUgTRpEUQKITH9kuqLAT8NxBIiO6KyWOl48fqWRjmUVtjKcjvxNFLwsRLMlwdMDxZM/9uC8/sJw/oQf66pdh2z1rJ7d8mhKzmzBe/80cDp6QFn51OiclymNT8IF8xsjxXQlQXDdJyYCrC/1yQLoYC08ljh2RFZVRYfE0VIWKNI1hPDmkF3mBSZxoH/x398xceHa/7kaM5p+EdUVUl1kpguHftpxIiA3YEUFXJxCutPQVnkVGHiM5KAnW6YPVMIKyg+cRxULckJVKyIQyJNQJ5C0gW+ndH4E+TrOUY51Hst4trghaI731C4YxQ1pvwCuTGgKszZCfJ2BcKiT+YYv0B0nonYs58JgiyY2Yra7wmriLqesNgtsclRzAz6fJoniJ577rtzdsOM++2esz96n8nkEDWrEbct0kaKwymu7Qk2EryGOhBLQTufUl+sEduWVzRMWkXhFbHSyGECSTEc3yJsjQqGahYpmoToBZ2c4+uE05H2Ys/8KDJdJKZBMVBjU4V2huJEoA4SzuyhVcROsCnucdcRdwO0irTwMPHUn/RcWcNrp/jh7pYQHJ49ReGZVZ5F5ek3U0KI3JlAP7HE3kBXwh5Cl7AyMot32IlgWChcuUCrQCW32HsNDhKCqzTDBxiiRwhD0B39ZMtR0+GcoFsVDIMjBEtRbFCDpQ6BmfPcnQtUFDy/g7sDjxwE8/s6r7cUrOYJYyTFIDjeduykwtpEXEW2wjB0JTc/mNLU98gYOd4IZLFDqJ65Heh7waAVw8Qy2Uf0FqY62wtJCqbigODWOATXPMHstmgZ6MvEMjpEEqw4wJUd6A7T31O7Dpk8vTEMJ5KkwVwX9H2DdInJdcSnOYNQDKlDiJZCJJxcEnQi6Y7YWLTVyKgQpWNi11QhomcQZwGngOslemkRtec10O5L/L3htVQMa4lYJQ6HPZ1P2FLhDhzbRtJ3AjM4fBWg6DDDQOk7VOrZHwiU0yiX69HrIbLeej79wY8415onk5pm8c95tdnx5dU9t//Lp+yrJdX0+S8cJ/3ao6y35RFRQExv5BQxjBKCHB2C1PLRTyXGSIgJ6x12GLI0z7nMqBolIb/OoPpts9dfPIh+SBRLPwHC/Odsvy3GuA/tYVMefHh+mU37akT6z//CT/V7epSi/eehGzwCSqOk6CfAqreWI6WHMv4r3//JH31bMpS+utDjZ29vg3hrPW+Wf5Aa5WS6DL4O3pPlZpHB2ZzANlJoUkrIlDILhlEWp7Ik64FJlMiJl1IIongDpz0AOQ+MoUe52sggFPnWBCGIYgRA4ltGzg97Md63QohR/pf9hCSSKDJIoh7kfuTCzWhNoRUqZJBFas3w1n0txcialAJiQiSojKYuSuqypJrUpBAIweOkyoAMmdXw4Ec3KQtmk4qyqtgPlt5l3kyp1VtA4AMbKT2ePvlwLB77gIdFBQ9H7BGQJANg67YnxYARiUIrZnVJVRSkGJEiIVLky+t7AoJCKaLJyXwPHjQpRqJIGD16AUQBI9sspgQy+0sZLRl8eLyktJKj9C8zmx7ldDJfhykqSqMRIvtJqQeRoJI52TElgnfsZb6eZpMpQ5/7XBtcZtdJybSqqY3CSImW0PQ9bT9QSPjWu884OT7m+PSYdrcnec/hrGKz3WGtQ2kzegBCYz1d19H1PXf3K7TI18UDOCUF2ATG6CylEiKz9UKg0JohZNBytW+pi4JpXfLtJ8fsOks7eOaTCQezCdO6JCHpnaMbBiZ3JZt9S9MNxBAzuCYFu6al7e3oOdZlOXiMuPhN+uA3ks/fZE/+q0rk3papp5Sw1r91nf828bh+evtVUxB/E+v6Sktv/sYxATiGEbANgavbe/q+o233rHd76rL6xvI9OwO9A72X7IFYO0xhif6APibWSfC0KyAJgrAsG4uve5pJy26qKI80Z09Ltp9IBqVoak3rOzbrLXcv7inLiOoNcl/gpSfNI/EQ4l7lwAqlUUVHGgqIU1QSYCUiGgYRMcagTMW+ucf7SBE1YVLkQnQr0MJi0EzkBLNfo2cOfSSQTUD1gcJ7iiAREewAviyIMaFtTrUDiWg1yWtIJaWQDOaKWFiUVkiZJ0q8ViitEELiRCRGiQ4KEwqUrvCmpClKZCrARvZ7gUQhkYTGAjqzhYPLkyho+lJRhpxQVfiISAGQGF2jgBDGvj8IkAI7Bd8pklcwE6ReZh5vJdE+onzAihx4URvB0HX0KWCBoUvUXUVtJ1zPbpArjWoN4IgqZJawLpBJIn0klQlvLVF1aBv+f+z9Wa9t2YGdiX2zXd1uTn+7aMhIkko6lVapLMMwZNiA7ccC/E/9VoBhoFCGAT+4ULAlIZWZ7BkRN253ut2utWbvh7nPjchMiqJEpsRM5wQuQdy455x11l7NnGOO8Y3aqmslcpZIlSld4jBauhbaPmJURIUGomEgQMzkKJjsTBSCBBQNugnYLoIp6JgxY0C4+p4PaIS0SBlR2jMqhc6C1kmyrIyYgwDRnkTHraubKFqgbabbClSMhLxFskKcooK1YCqjVCT5Gj3PuqCLqS5oNVc21cnmapMiasgaVKmbNoWCnCXZKPLCkNVMjoG908TdhLKFtle8YaZ4hbk1LL83ooaIups5FkM0mmQatL1FR0E2nyL1liIzsz8jrxzWeJptYZoCSQkGWShNgCQpcaCwoyhBXmvkVsGkSVMiF0sWAjlmVDggc0Y2B5Jq8bo2O2alQCp0GxBjvc/SymD7PdLOiJ2gFENxHdYdkV2CLlBSpmNJ41vM/UzKtYzFm7rRCBIXZppiuVAdY39EaIHUgldWcrVaslpeED/z6LZBKM0365mhFYQdHD5bsdq0XD1arp97lhcDw8pWZIRIzG3mWW5wSnGwGns+EX0iHzML1yKVRJwp+knSCU2vWhYLEEljnWLShmJA2ES8aujnzHoD73aepRL8cCF4FiXaWEwvaK2npMxqyHSjAWUx2iC0QhqB6iOyWCKFaAusFeIgUfvIkE5zJRMICJAGOUiILUW0IDvaEUx7RF/v4HWDlIpwPSPnBao0GCshqdpcfD6g4gZI6LWkObQoG1AE4kX9TBcHzWonKEkSU0evW4rK9DbTLTOmrcmA42HJOA7ct3e8/OITlldXqLMF6vUOOUaaqzXzOBJdJDsDi0TuBfuzNd1XD5THPefyyGKvaYPEdBk3XpCiRa8NJfUILP3SIXcKJoMXS1wHTiW29pbLy8T6DPqmYwo9IbQMQSJeGeQzieRA3kE8Fh51x3EZmJcRubNwEWEREePE4BTWS7Yy0Ic9Q4p0EVpdaHVBOM1ewEFnojkgQq5P3blu4XkKAxO5AbeQIC5RasYoRwoKaocQR2Fqm3VOZATegGsLryZR2YGTwOVAEgmtZqQaK14jS953YGZYHwWby0KWEhM1nRxBFURbEHKJKpK2ERySpMQCR0hoDknzYaMRyjIkwcolujYhVKaVmV0CJwVZZVIE6UEmSeprA2yhR5QdGZiwDOkBVTyNatAlkYtkLAZtPFpFGnXE+EApglw0sc0gM817gSchdELPEJQlalPXVoR6/ZqBJDUZg5gDMtW3H7LQRUeXIqHTYGrZX4wajCf3mbEI0sZSxob9eYEJlE/0KRJkxMuIaiVZKqIQqDTVFlgTaeaMLhGRC/FUtiSyABQHn0iHhNjcoopm2fS8+/rIlw8P/OzNW97ebuhWC3r5H59DifI7zgr1b4F81vgIDLZFGYO0BqUNJ1AN0XmCDwTv8d5/xwV1mgj8gSbRv2s9uHhaefMUn/mD/PjfOv5LTsL/Psd/Koz321H/vVRVGFCnBbCPGR+eXG+//3VQ+I5g9h89xr9lefr7GCdXnpJ1E7OUCtcWsv6RSmG1qQt38W3kRKnKP1FK0dimCj1K0RuLtfXvpTYIUQUmrTSS6kqpcOv8UWz87uegqGLH0FniyQUVIzRGo6XkCUheYeYFa81JFDsJl4A8Oa0ohbZtUXUeT8o1UiaFQD+1/gmQSrKfJrbHA//uZz+Fkw/rOB7RgBGCrmlpmgZrLf1igTxFAnOs7XUlF4wxtZVTyu+I2BBSYfae2Ts0ubbjKU0RGR+r8JdTprOGRWsoUldWXYiok4AjpcTnKpzVFsP8MUoYS6nV88bw+YtP6JuWxlgo6aMTanc4Ik+8mqZtkafSho9Z11I+fiaxZOTJHZd8RjcGc4o1O+8RQlRXhgBOjCCt9Ef+Xjo1OqpTxDPExMNmyxNPqyhNY9tacBkCKUWklCy7Dufcie1VatxSQNd0aAnqFMGu3IvCwXnOz6/o+gHdtsTgid5zPGxPUc2CbVuUqMdmtGI1dBilOO4PODeTYv3ZT44pXyBRiClx//BwcsYWXPRM3jP7iHOhiqGiNjHmk64rtSHLejP1TVMdr6W2qM3OEbxHURiahr6xpBCJqcZXj4c9++OR3XHk68c9xzkw+vDx/vhu3Os3jY9CoawuRSEqlPO7748/BOT8d/0+f5udWO/1vym0/jGP/+rvw/Ld//s3n5NCiOokPb1HjKnNpwiBm+f/7B9pfmRgc4nYXAGZdXlgLe65aztsjAwx8M9fWvarax5Xz/ix3tJyiZI3/OT7vyTdO8RXkX83NeTjAbPbABCCwbuGrj/SJkPrW96v3pN7g1wsoFmx3By5+OaW+64lCfnxek5YPB0te8oyEK4D+efPkU5iSbxaDwRmbv0D83zBong+lXcYPodloLz6hrc/T8S5PsfHtiWf7qXn/pqQCl/mXY1LdBF35mgeW1A94dkVJb5Gzg57bxFAShrnFjTNEam+jaLmZHDunM8+C2jtefvuyGK4RpbC/OHXDPIVdIb7770mxkKaLLx+BgiETLTtA4NzyJI5NC2tc0iVOHwmCR9eUI4tTfMOPziyEfT5JWXak9PEaEY4rhGlR3xmOLt7xO4cH8pLxKsDdjXx/a8cD11mbwTsWhp/jiwND89/DdszOKwQokWbDbo54r5/Q37rKR8iUq7RZoNROwDWRIac+aW7Jl8cEedHSlphjglziDTjyIWUnBvJ7X8LxzvF/E2N+O2V4tFq3KuMfQw0HyLbNahiaGKN0Q0xsYyBD01LOl3z87ykzRNLthy7Dq8TXjs+P79gOkg+fAAhLC2KFYqxfUAlR+M9Y9eRhfwbMykhCsvljHOGx8eBrvNkHXDGwXaNQtC0ntnO5KAo+4HuLFJUYM4zXeyQpe7Ci+9YUxfOUQQcmwYQyEbTXCxw7Z7FHPjzrxP/fvVjNuc96UdH/uTYsraC5vueT8cLlkbRfrbnZh7oQgNhya9uIOvCjx8KKZcqvF0r5s05cZaUeEtYnyOSZfVXI/6LK8QgWX/1U/IK3ELx9vmK9d1MtwNxvGJ6tSUtRxbbiLwfYLbEi0S59Ig20N5DehzIoUf84ArrXyOnB+Z7izQGJQxqs0b1G+QwEa9uyN8Eprd7/t/v/nuaq1fYxQ2HX7xDOYsuBv39CWt7GtWx1orSR5JNhJ9RN75s4eq8rWVgAcrrFtF5WDicF9zGntvQ8/zNkUaCtgL3z47s3h/Z/urIi1nT3HSYTwbmOSH7jD7LlKCQe4V+VJWXswroK8eb763pPggu/zozXx6hgAyK9Rc/wPQG3RTMeAtOkKeO4/oCKWdsuadtnyG7gFg+4o8vyFpQljPl0ZNtIV0o7F+CjAm5dOR9Q1EdLM4oLiFKQhMgOIr1pIuZwS9RRSNEwS33kMDed9jnHcHAvQvIhzo5TzeW9k1AuYRsAnl5pIiMPBhEo8itZbw4R4wj6ujoPuzRFKTWiPWa2MhaHPB1R//nAn0liBn6cULOicPe4JaeohOLfUE1Jy5obLjJhhbJGwOzcgQiYvKI2CKKRHaPCFk5ftP9O4pbUnKPHwzuriHMhf2Pfs7wTabdgPtRQzgo8l6z3qy5/RR214VP38/oySNT4vgnHa54Yoys8gIbG3RQxO0tZRnJQyQ93BHejhxfz/xf/x+K27JhozdQBCGuiGlJuf4la5k4LwJ1+4LHmLgrM0MfSGeFeCY4//kViRlvD9++g08Pjz5Glt6zLZl5LZivFfbr7yGLA/uA/9QjZ4m+1Ux2YpULL6Lgl01hCILPjpKH0jErGO1pciY+Kg0k3RPaa/LDHlVmmubIC9fhh8Q3r/boX3+GDBlpbnnmO4qMbPoNO6AURRtb3NKRo6TcLeFqD0XC/Tl0kQbP5bzn4WX9mWffFLafS7yBdJd4oT9h0ApjX3O7s4xzw+zOKH1AiZnl/p7pe9ekXmG3H3AP15RgaduHep5kYV7OlIc10hva7ojvPVEAH1a8kiMtiV+kgWdS0urMl8sNYiGQStJ8aPB+VYs6fvSGMhX0WPjsPdw/F0yD4Xu//BRZAgXHJr9jtpakFZfTzNEYjsoyTgOlRKAg5SXG7rBqxzBNeGPwxp7mU4WsBP6Ha8q7hvLG4P2//63zpD+MKEV1XSz7rt7QQpLS085+qbuQucaIvjvZ+/YF9ndn0X9srqJ/Gv/p4+9+ruVbUUpIjBL4mHHhiQ7zn7aa+hjr+s51UhfAAiUFrdYfo2XyqeivPIGRC7mA0gotJFrKGrMqhZxh1Vm0qsDu0Xk4CT+nH0wpmSKqoGFVnYRLIVCnnwk1VnO26ln1Lc/OVqddW0EAxslVthI1hiSlZNV1xFTbI40xKFFB2LZp67mTks6YGpEzBtt1HyN2s/eVB5XrYjnlfFqgio+/sxAFa0zd3W3syX0FooiPMT0fE847fAgcxwlOjCOpJFqqjxD0GhsTyFIwUlFK4c3dA5QqSiklWZ6d0a+WDMvliWNU2B8PlJjJMbHZ3FNSbQwLMdSWuNOxWmuxRpNL+viZ1N+vHmfbNSdXZhVYcilkco0ZIk5A9/wxblVOToiSIlIZUsof2zyfIr2R0/dPGWO+ZTSFEDHW0A0DUtZ4YmstrbVoqVBK4mNCSImyhiwqgyt4R0npI4S+ssHq5EOWQoqpOpdOkT0pqrMs5UJIib5vMUphpPq4MM5kQqjHLYXAnh7+ORecd/VzF4Km6TFKY43hCSf/FM+j1DiBNhXO+BSXVkqyXq8Y5xnnA/PsMbZFSkUquZ4/CkbL0zO8XmMx5Sou5XgSNxWqlG8jhzlXBRbwKTM6x+QcDw8PSKmQUlEk+BArYP0p1lgKJdVIthCC8J3PU53u15zr5/gkXGopawRUV0BxTJWt1SoBOUGuIuXs6zF8fbvh6AKTry/YJ/7U3+4FfXrEGEltpxSFcNpX+UO9pn4XoeY/tIHzD+Fd+ZucXH8MhR//ofHd4306zhDCb/uS3zqGZwP4pv6hoFJB5Uz/StEeJvqdY1j/gJ0JbPTIWgQUFui4sxMyRrSLPCYJsbYJKe/xTc/cn6G2I7ZkGpnZ0dKbwLo98qh62uRZhyP3sUVnWMbIozEEFBlFjgPCeORiT9m3iFSfFbqv93DymZwt0kTscETcP6s20rOZ+aGhhARl5OyT6sA8PGjaXJmhxxLQOoMqJJsYDpkiNdNyQckjJiaWB822X+GLIR1A3dwjTIHxEoYHSoL09orPhkwjA4/jnvlakWVG3jqaaBBa4K8j49SRvMKcNrtKkeSs0VmgVcSePdLu15Rgue0dZTDVmSQiaQfFCVTp0GKPYWKVZzaLBaNpKHuBbQ5o5RDHltwIUIXFmJnWEdcI+OYZhoiWAdcdKNOK4noidR6iTeL80z17FxldgaJZTYHFHJlzRmgJ0vDoXtB1j/TdI9JZXJG4IsjDRNMs6ezAK/vA7ZR5Oxa6nIhS4pUkz1eIeESmLUI2oHuKWcBwx3ofuXjMfHUtKVGhJk1KBpMyTUgks8YNE3694f/0vZeYbWT+cmTTgs1LluGaTm6ZW89m5bmZrpBYglS04mu8gq3tePFDQxM06p0hPmzJVpGuFojJkJUkDpJmN6GLQOsGtZgQJMqcYWkojaT0heHYMAjLVdciOghKccyGUc8UWWhQTHj0DFdvWx5WDckKWhvpMhirMM86TOxoJFx3RxbDgNKWOTfIy46i4Hh7RB5rzHteRcSuQwSBaHcE2UPQtG8y+tWAGjT20SEGgeyguxTku0DcFw6HnrHf480EYURMDWRNWVu0zUiVqtWiLBG5px0NebkhqQPHv/II2yKMJRVPv7I065b8J1/QB42NiUn+jDxb8qSZf3VL8IKYJMdlBhtBJ0yyp3mHwCIIOhB1oI8NyUH2hTYYihWkBpxsicdAPHgaoetMVRT85YoUduTjI/3ekCVEW+qGqhOoEeL5BMJC6WF7hK5QzgVhMOiNxL6FIBxiAH0h8ctnmAy98zQIpFaIxjJ1EnJGzZHd2qCyZzjuSNZQTtxU3urqXruglgikBMmToziFGDJ+e032khyPiBd7lM7YYGmOLQqJaAouO0oU6KnBXApKm/HK4UR9Nkl9ht1EVCrQGpR+pCiY7QWd2yJlZL5oaYNBRUh+pEwRpCG/fIb3W7JLsDlDXTiEToh7AW1AkCvzTEYKGT1nirIUo4mrhnafUXMiT3tSa4it4nhesA8Z7QpcSx5pmWbo/ud3qDMFg8bP58y9INiEGd+y1wInFddjhzABQUT8SrH5vHB8Ad20wN7P6M1M8YbNMrJfBdIaWmnoiuLlwwNxNMTZ0g4Rtc2ITeKr6cioEwcV+Z8efsqHu8TDLSzcvrritUbMNTLoS4PU9xRbwMK56Zgnw2FvWJb3JAXhSV8IGhEMwhwIjcK1DZfuEvSB2NyyVwk1CbqtwLUKkRXGK3wbMAX6JDh2mVwEIvxdzUIWgSmKKQuSTZTVzPJ2RZKJ7cWGZ3efk6PkQey4HFqEiIz5kQAULVC9Is8Z4zWrw4K7F49EMvq+B1WQZJoU8B2kUmPo8fMOoRL29T3iYqCxkss08k5JQmpZ7p9zLFsiE8UcEGoBxZJGTWckCkE4QrAJYQPr9YZ0a8Ab2qsVj1NicgL8wEo90soJ7QtGg1AFRyArKAJap9mKjlFL/NkGskFGxfmh4FtBbCRNs6IcJ4p3xJWnD5omKOLjxFG2TLqlXBnkGJFzRK4lyynQTYGdlDVBQqFfCY4NjFrQjxo3LpmnBSH85LfOk34vSMLT9PG7cZeUM+Gpae9vCVC/bTL6d773H9Hk9Gn8x3az/6vv/v5Rj799TspHbtF/mhh1cux8JzX3FB9TpwWp0RKrJZ2xp9hQdfKJpwUyJ5h3qbwzoxSNUuRcm+JiylwuOqxSaCHYzRMgaIw9oZmq+FFQaCXpja6ij5Q1hkBdtMccublcc7la8MXzG6RQVZQSsD/M+BAJOXOcPUpKLpYDIeYTv8QgS12Q26YhnFoLrK7uGGOqSFJKFUD240jKpYoTsUZkn5rxSqqrZ6WgbRrMSZjSQqFEjVWFFIk5MfvE7OYK3RbV1YWQaKux2lRQulJ0Q4cxBn/YI0stKajiUSGdWtWEVtiuY3G2rj/XapSQJB+JPnDcX/HUPLg7HPAhEGJElIK1FmMtLrqT+ADB1RbOECNn5+t6HZxECSklUit8SlUkF4LsQ+VgKUnbNATncONISOVjQ1fmJH5Qz9lT22drbY325ETwAds09EPP5jhWdh3QKEPRGqE1tqnnSShZHUUl4mIinRheQkCICSlr86gUgpgLLiXmU2wzpfrvYs5MPuBLFREbbTD5yaEjCCGd2GFgU3XG2cZQYiKXWjkvc0FqiWq6Jz2InOPHnw2FpusRQnCcpnpsWtOcXzJvtwgmZCiElEkh4t1MPl2Pq/XyJHZmwuxxp8/NBc9x4iSefrtTEkP46HZyMTFOM5Nz7I4zxhi01vW8pUIu4sQFPLn4csacnJUpPjUCQsyFmKvgFMIpulaqCzDEjFbx47nMuSA6S6MNVloGCTl3+OBqXfBhqnXxucYB/gat8Ml69F/AffS7vDd+07v0H9r75rsR/T/mY/9Dn2M910YhIQMSiKLB0zB0BeVFnXz6Jd494PKGb4yEMkHaMnmNkmBUQVKjcBmNjROqyWAFOSuiSAgVsOGCJh1pfcDGEakzyQpKApUzTUoIrZEyI0omRI3MBYMCEUDXjZspT5A1unQIkUkqs20kxUREUui9IeclRUQKAdV4Sq6RhFnMIApG1DYhoqREg0ojpIDdH4gSZJFoKShGU4pCFo/UBYwkNg16ABEiWUTSVJNfOmtingg6Y9oGMXpkKohDg5gsMkuU3dXzVDRBNJSiKUgWIqHQpNyQjwW99IguE4qlCIuIEhUSNFVI66NiNIW5jcT7jO8TqSusnKc4TckKj6jvvSLI2RDtTNEjMkqKgKzKqXzHUJLBHie0zsiuOj3lDCoKFBlfFF4oEBqbNItZk8ZCNIXSgmg1sbU40zJsLI85EFVk39arQqRCORqK0mQr6aImF00SCmUTQheSFJQ2oZymnSxqkTBYmtRj5IqwGAmXhc+eL1kMAXLmziZUbOjngfMMh2Xg3bPAF9sbZG7wUjHYPbMu3JkFrz5bsEiSxbIwvVZka+DZOSJAVJpj27J+ONKIgl0q6GZELshJEpeK1BXiOnE+dqxlxyfLFeHM4qVknCWH5kDOCXsozAqK19jzBbk7oogsxgImQqNRqwuOWaBK5gZDM7TQWo7GcrUYKMDPfUKLSAmpxmWUQAGlU0RfKCTMGto2oK1AnA9IqzEWnpuZsRfMpTaaqazwXuOQoDOIjBwUGlM3PLqMXQ0YtUD95QEnJc4apPGcdnooiwOiXyMHiz4baFvLYCWfDP8S/2HC300EPRB8IsTMg1AEO5HNjHENJShICn3mcHrGK4/dWfxYyHNG9w3I6srKemAY9tjFjmm9QpSEzIlinzPQ0WaFzUuCi7jZgS6wk4giSP0jpbUkOyCNqAyslWBBhoUgP1fIo0GuQF8L5iTIIYFKCLVAWo1cKHQPJYKQDeMq1wXvXlLyyZSeJMYDspAPApaSrAshCFIjETGijgdiPiNmRQgJ0Xm0AjlZmKqj3zSF4DQ5CFKUpLkKcCxO97yQiFAoFrJQiK5DFU/Wgrg6g0NA4miMom8XCBTHpBH7iFAG9eIK/xjIxwmVCkEk8BG9g1AkwkhsDshU2ak5TOQoyEniBph9QUyJ7jhCXpKKwZ0l8IE8JVIZ2BU4BonaNqg+Qw/xCG6d8cuEuTeMl4Z9Zzi711glkEYQZIISECnj85qSBSmCeKfxc2KKhYOc6VQgCMVVzMRtJjxm4quWIQs6Xfj0+wKhDVFI3q/fI5o9pUys3hrmJDgmSZIVLK+p3FHhQXiJfT4TgqIUSyMyQRWckVgPAckkWlrtyFnD1KKaQLEBugRbEK5STFtp8FmxT6ZeaxL2wGwyskgMGhHqZmOR9f2tUsa6Eb/oyW0hmcwoTpufh4ItgSg1SWi8qnOAGFtsAVQmmow9KDqvWInCtlRGcis9RVfTlENiMqgocWhK6BAxY/yWo5rJGkqAbCVISa8F2UeciBxbiT1GhJcEt0C1E1oVwr6vbi+RaEtleBcBWhlk1Egv0Ei8UiAENypWd6EQ9E5SfJ3VGhKTcTghEUeBUholLKOJiABkwW4dwM+QHaws/VGiU2E6OfEVUPqIiQkdMrkdaQP0Eh6UQeTqYFSiIDQUU9CPEwEDTwma3zbv+n2cUk9fqARoJVg2milkjj6dnBl/uF3kP4bxT6LUf9r4D8f3aouc1Qof80ce0O8ycv5W5GyMorOGs8WC1dByvui4PjujawytUcTTtxWnGNZTvCXESCpQhMA2TRWldHXGhBCZ5hmlKmC8lMIUQ11oNxarNDkXfAjkUrBGs+g7lDKknBmDI4SI94HjOFZRZhh4eX2NOUHKS6lOsZwz3jmMfXIvNWhd3UhaaAwnmLVRHL0/LcITyFoT2g490ccK6fX+5HOv2dTCyT3jPDGFuhDUgr7vUUrjQ8Dq6mrJ1Ojdk1NsGke896Sc8L4yr86vLqp7SymEEjz/4gf0Z2f8/N/+Wx7fv2e/2XC72XAYR5wPDE1HMwy0fc+LF88rI0RKUoJpmokx8uz5DX0/0GjDw8Md6eQGe/X8JSEExnniF1/+ktnXJk7nPNvdgcNh5MXNNX3b0BrDeDhiGkvTd4RcMFphteLx9pZSCtpo/vX//n+HAeI48W/+4i9JOVXgtlaE4JnnmXGa6rUlJfYEYX+61lIu+BB5c/uANobVYsHQ9x/b8p4EIykl42Ff2w1T5Hgca8NdTlhrq5NPSeTp8w8hYOUTayrT27ZGM5UklUxMidn7ytHqOl5c3aB0dS7NbqZRtbq6aS3GNKSU2Rx3WK3p2o4XN88Rsu6S5FIY2hZrTBW7lkuKkOz2e0LMSGO5uHnG4+07jpsNj2/fg4RUMvvjofJCtOby6gop6o7IdNhXl1vJCClO1011XZGqG+x4uiZijPgc0cqglf4YiUIIcsqn67a6UWKMNWZY8kloVnASqkou9ZyWKiJ7H5jnKqRCjTU+uavSSXycg/94fWspWXcN676l1w278cjDfsf9dsd2nNkc5+pqqw+xyng5PcG0qE4pRPn4fPmv8bj/hypK/W1m5D8kDhbwscn0P2es12uU95gQWAqBOodyIfgqF9rHwvpR8L9pLthkx+s88qvPOsQEel+YVjOMS9idc1a+xosls7jmuvyaqSi29HSd/xjnftUb9jbx3niuvwkkJJOt8S0VIsZ7XNdVHkaBcTQoVWjb7/x+pbCYZ0LpeeSauocZKGWH+LSjjY7zd/fc8T2yylh7hxCFlDq8v2aZf41QgdC0nDtLzC0fxJLG3tIyceYcb5eFuTPI5RI4oKfI4pvMIFak3vLuc8EztUPNiYdvmvp2ywrpFqTmSGoT7tzCewujpJBomhl1iv55f0E2Er7/mv7rRLMrrKTgmMFLge96zoNHEflykZFnF7Sq4Xu/2vKm9+x0pvcdUNlI/qUj7RLioLjYvaJnpBUTiol9yYzU7+nXgdRHii9QBkg9vO8w+ohSM9M0YK1D68Q8P6eUhCDQdg9PVCWm6YqLIbPuMl/eVzeNWmz5s9trhuJoxEwsn/J1jnzJjPjBLYtNZrjNvF+DzAYb6yLAhkjrPWeN5CA1j1LTP5s5P15zs/mU9b9+4PLZS14++zHPwxFbCloU8gtP6QSllQwfHPKYyfuCzx7RgloJgl0iAqhjJn86VJfrMSBeN4gmwouRFJfIFLDhESkkMSyZDi9Ry6+wxtMZSWw0STT4vET9PBLixGFxx/BK0/YdC31NYEkJGbHbom1ExIJ4lMTvrxGdRs8CsQ3ImDAyc3OeaVsN7TkfPuyZYqAs6pUsWwuf3jBsHMXNPJbH+oAPivxmQV+AEtikDfnQQhGoyx1GD0hjSGcZHs8gWPLZAWUnRM7wiwWh7MnMFBVIx4oMMP9yIKszChZz/MAP/vl/w8XlM/76//7/YrPdcnQz01qQfnqA9xPNjz3CNEjbs/zs+zhzxMuA2f1LePwa5lv403/GeRhZuJH7qSE0CqzixygepeFWCn7p/2dCCZSceREy4y5wOCS4fsF637DeWg5ugb2YMFdHfm6f08qJQR546wbO3z7y/M0Dr/67P6eRGjllfnW/ZaLgpWD1q3dkHwgFQniBaGZk/4g2+yosLhS8b0iTIM2F8KuIuhDYfyZpjhJ5lIidYvqT7yGMQ8dbvlms8YyU9B71b/6MFBpcH/lk/RcI4ZlCx+rdBX4RuP3hHXvzkv6o+PTrCbM4UhS4Yik3RxABdQyk188x1nD+g0hEkj2wLQjbkftCeHZkvVHIALP0SCVRjaW5OKcvLVkY7ltLZwud1FzINXy2JsrC5mfvWU6KRdvx6l98zi9//g0P72/Zf/ULxnNBkoXF7UQorxB0rHkknL0kW4s5/IQcCtlD2EmSbClaYC42hHhBChax/4Y0jSQ80/cVohik13SvB8rQUqxEPtxxd6PYn0mMn3HlilAG2vhL1vGcIa0oJjPZW4LYcv4XS/IwE/vE9vCncPwA0weOwdGPgtZrwmc34D4Q3S3/9kXP1SFxvU+8XVzw4tDwamwI/0LyOG2429yz/fKer351x69+ecdd1508+k8vzx4ZBj6Xb9gruDeGV2czuwFuO/jRT2DMig8n4SJGg/cN4tk9NAlhBc2HhqwyYfB8sRb4o+b+VnN94QhB8rizzPMlZW2Qnyjs1+/JzPjegwTlFc2xwX1+hQgJ86amO1SKGOfwbUfsNf7Ccv71lpwsm/YZ33MZ8HywW577BpMSvux5aBokcOM97nswDoI74JNjoTsCH+BrbjhioTjEqw2dDXx2gNe7G5xvOSewEo8U6Xnb2NO7t543Z2eKKLSuQ9q6yVN8i/bXkBq2+Z6mCTQycDnPbK3FndaZay4wWO54z5nwtCUyTzBaW0spgMuhGgZ+kR4wU0bOMM8r+rLF6Jnd5y8w+xFzmBjGiWEQ2FZw6zKtH9Cx5b6dORsCC5t4vWlwviMGS8FjbMCYWNfWXSR0gfDr3+42/z3b954mlJUZ0ihNzBEpvhUZ/qFOnn/T+Ic2gf6jHaXuwn7X7fTbrozvuu0ao+mt5dnZkr5r6NvmpL7Wz+RhmmFydZd3DqfokvjItBEfs3yCXECII0oI9AmOnHI6CTbVwWGN4XG3BwqNtdUthSDnRGs1JmX2ITM5/zEWpIQil0IIgTbBwUf2s69OrVI+xp2eFtjG6hNj6+S0EhJJ3T1WUmBNhWfWk1GFDyElWpvTQrs292mp0ErRWstxnvEhMJ/A1k8AdSElUioaa1m0Da01dG1LobocD9NIiOmjy7FtOtquwbYd8rTY10azuX/k4X7D+3fvyLNDCok6qfQZyAhyTCTvGXd74klg2R72eBdIKfHh9i1929O2LShFKRmhFO16zdnZOc9ublBdi/eVSXd3d0ffPrCzG9aLjtZajNJstzt6azlbr/E5I5REa8UPv/ic6D1+9ixXa6SUhH7BZ599wtu37/j6zTeYtmUYBlYXl+THx8rwalrCdMQ5xzzPbMfxYxyyCkoQvWcTvuPEsg1KqeroSSeeV6ltc7HUqGg+2ekLgiIqH6pVprbCFVCq4GJE5oTGVKEH6LuGxhj6tqFpNE1b63671nyE0CuliCHWaGPbVoegkrjgP177RdRGutkFQCD2x9N1pFHSIEJi8/4dfhohF/rl4iQTFbq2I8dTe12pTjShNP2wJD3F9EShPcW2tVaUVEghIuUWMR1x3tUFpZCnHQtOsU6BS+l0r4Nzcy2/SAlOrqkYqxuSJ1Gqnswa9dQG2dUoowv+bzxLGmNQTUtXWmKMxJhOBQOFh6NjIyrjUNmG51eXXJ9YY5v9gf3s2M+O2YePz6pyiurWgF/dffpNmxF/3/Hzf6jv0v/cd+dvOsf/oXPwx/p+9mcePQo4WvZC0LtMd5fgDEwj6NcC/rQjv2/IX/eUKKkrpxk7mRpVsTsiBkgYHplQ2Cx4mTz3nYMs0UHz6CIhFoyUzMrQZMllEHw486QI5dhQhMCg6KTBX49kkwi2cP1Bk5Jgr6G7EXTeYx7v2BtLKJYYzygPDq8ymzPIizuKgJA87X1BpkIx98xdoohMLo5DEeQsKSWyzisMhsl+IPtLRDDkMXAmVpgSyIstUztThGf1TcHZKkQN3tEIgSyCSETECDOwi+yI+KY6lKWsjkfvFaUkiBl7Z7AUVFfYFcskPUFlSud4TBlZBE1sUPcTmpl7I3B+iQiSIh0xGoqH9psRv1DktcLPBwqR6qM2NDGyLIV7CutDQY+wkZaQGnK0WHNAyoAQhaaZKaLF01AajyoOVaqoHkVLEg1lmDkuPWHw5CTQUWK2a765PvBMJa6Ar6eWPO74dN5x96DJvjAbuJo8QYAXcBEj2ST8IHh3OEevzjh7fs7/+dnEWepYhBXlxxqjNM30nvSQebMUvL2WXP1/QVlHOTtgTMBIhe0NB11Adwi1orw5R4iE6maOv1ji5R5n38P2R/RLyQWKzVe3KOVZXSXGco7MiT59RTcW/CAZzwPZz/hj5PDQktUWLKjuGbN/oElHApH46IhRMosjzg9EkcnNI/3DAlsUzf0BEx4JTeT+peXTR+iLIjcz6Z2nOMhti1Yjsink3cibbl2jXN8EylWGViEXhul+S5knjsoTMmQyKs7clYQvPetRsLp9pJ0FUke0j4g5EXZbgujJtkW+ysiLAaU7urYhJ0vOmnLR8s3ujrf7kc1eEWYgBMxxIq0gWo0UDk2DyC3x4Z7YzUQZOPz8L0jinqJ2ND8RuC5h2sSjUvgsSUkRlje8vHjGj9YXtIf/FTFFso/kv/gGvZnQB497njELEFqSHm4RssemZzxTlyTtEGbB//FH15hP71F3HdffuyTKHhcabvxfcXfv2N8HvlwfGeSaM/GCO+GRWmFtx2pvEPtIee/xE2TnKNPM/uxPsMah398y5ud1TtAUnD2izIzSEzb1mFmjt5eM9o7cB+T6yKEZsLKllSOzXZNtZt04osiYNsGLgGPGScnONlx8IzCyhetn2FcZKwLaBdS6o7SSbMA3pjoinaAEhQfGhaVxFbAtR8+hHUBKVmkk7Fe4rNnzgA8bigaZHUI3hOx5/bO/5NF5nAos8hXSB5LN2LM1/WggJ6alpVVbVBEkuwDRIbSkPztwRJEk9Gc98b4jJUM0HT4aSJnuLiOmBFmQblaIfUJsMq49p9kZ5DbDcUda3hOHPaKzlP2WfHxEqTXSBoSEmDaII4ggUM++Rp9F9GxRXx4RZy3JthxDh14tkIvAp6tz2mDQ95Ll8S0bP/CY1rz8yXvKKrFYtFwO57z4fMGfXb/k9WLHL8bMTzcF9fqBHBO+BL7R18TVRDg78mCWlDGwuhu5F5ZCofWOA5ekAcSLSJkychSY0VSwtoGiIL4rhKJx/ZrduMUEzXkY+FAEeXaYD47Yz+QSKbEgVgJrC2fKcyceiNES/AVa74iARzOEgJkyZQPjukdFONvfsbkEaTKrHChZM2bFY74gzw4RBG/LiouHLd0usIyFbbpknyydKMRcEGLCWI/YLkFI3gXFHCS5eHYEepFpZOG8C2xb8EWgN5pmKpSiCOUcLbZY4Tjzgcd0YMoBMIQgEEJRUwmmuqCeRw67I3aeWFEIReGQRAuuy4QWxHDJ/hiZDjtMydVpLMDaERVrwqP4ieg0+AWtcMxJcfSSzjmCSIwmMHtNsJKoE773pGIQwfJMWMYmMA0BszeooE5g9N8+fk9R6rvjqZ3r24auU9Dq23/xR+Ak+kMcw3/oa/+hLhT+vsbv0qT4HztjT411UtY2s0XbsO57nl+c1UV6axkTuJBwPnCcfW3YSnUBLgAlBOpk0RKy8ppq7K3GuJ7+jTYSTiwcmwW2CDqp2cy11cv4RGNSXRxTWAJaZiSR/TjhYyTEWKN3QlAKzD4SUmJyjpK/FaUm5ykUtNLoU9V4jLHG40R1aWml0UrUKtOPMHRVXTlPBHUBmRplMkpjtWbRdmyOBybnCM5XEewUS4w5I4VkvVwS+5auseTqCyWXwuQ95cS+yikzNA3tsMB23UdGnBCKcX9gmh3j4Yg9QcDbtmV0vvKVTjbJHBPj8Yg7xbs2uw3BV3aQ3ELf9Qz9wOry8hSng9040q/PWHcdV9fPapQrRrTW9E3DeuhY9LV+F+Bhf6RbLFisVhXeDiAFLz/9hDA7DvsDyjRkIShCcXZ5ycN2W9sOtWLQmsX6jJTLieHVsPWOgifEzH6cT3BxgT0xw3LO+BSrO0or9ImrVZ0H1bEmRRUPxZOYLRVSqJOAdxIilcaFKozIUhd2pdSoKQWkEjTW0DUNjbWV56VPX6sV6WOboiClSKYg1an1KBemecZoc3JoPXHXxYlbFZFCMAwDja3WYHeYazS1FIy1FQIPdK0ghkhMVQCtnDGF0rpa0OEjQwpASUVJmagjjfP4VN1UsijKyYFWcnVXCaqjCcTp/kinPxGJglDjJlrJkygFqZSPgPrqLDRIpU+x3PwxpqtljbtaYQiqtoA5XyusvY+knDBKYk/tj0YIlCi0RtEcp3ou4QRk/1aUKydx8Sma+ZueW3/o8Y+Rs/i7Ckj/GH7vpCVC1/hG0BodPc2cEFEgFIiFIL7UhFkQvjbIVF2qRRdkrIw8tCdiERRUGesurxR0OiMVZFnZegevIdTmznJi5jUJ6ATJC8RkqH2pAiMkqksUk4hKomWGLACJWQrEnCiPE04GRCkIMZBmwBZCB7o/1vfFLBEyQQYpZ7wtlWWRIjEGChpywWSNxjJqQ3E9ZIXA0dOgjGC/1qQuIUKkvSvMtkLQu5wxJ6c1ImJyXVAxCmbyKaIRa/tZFpQIyIDK0Owr5xBd8EnilSHojFKZWYHIgsZrzOyQOeOGHuEMOmlKEyscPoPaKlSrKK0kmomYT9loI9FOYmKhqILx0CbJzjSIYCAL5GL6+Pwy0hPoKBiMOiBzQJS6g1xQZKGhOeCtIyqHajLKLxBTx+bZgV7DgOIhF9Y+cU7i4agpQJaZ3glmA6kpmJCIbUGeK0xas1xdcf3smn/+4shCSRSGaaVwU2Se7onbgTup+fJCwF2k0Q4dZsRNwBpNKwVHC1EIcm4Rhx4hA0J55luFa2C8ikCDz5ouRjb7GakDedWwkxpdIllukH6JMlBipPiMd5HxEIlrj7KG3vaE/EAsAZE9YmOIQXHsHfu5J+hM7iaCi1gvMA8jJu3wQ+Rt6TBHTRckSXnaXUZ5SRklqp0RLlGKY3/VUoph+RgpKsJSos4t+JE8TbhlJOhEEhkhMnchMKeAMBY7O+SUkTlTRoWYwJsZxApherL16L7DtEv6viHsIcaMXym2xz1+OpJTRmaQBdoUiJ0mdopc6uZVKZJ53uFEwsuM33zDNOyJ7cz6rSFcWdCG2SomUfBZ8o2MnLfQrywvms9qBC4ktm2ibR19jszLQFNqs9oY96iuQXVrLm3HaBSTVXx6dU5ZwLTMNENLlj0xd7SLDr1JpDkwXkDTdhh7Qzb3FFHIRMo41BjQXSHmUBlLU8Q/axFKkCeNVxa0RnSQZKnPDxmx3iNmRbu3RLOHfoTVjpw+B1FolGM800iT6U3DPAkUBbEsJAdRSVxnkfu5xhNvFpj1Hk2mzKcWZlkb/kIjEaKgXUcUgiALUReMq3HC7COTzQiZGeZA9HXdMDEzz5GiC91CEkQhR3DfzIyDJqMZzIJeOrLISNtgYkV/HK1CF4cphWPTIUSPRGHOZ3SuW4G67ykHTZkltAaZDcUV1BzgONdUw+cSOQVESYRmhR4FZgzEY8KaI8lOiH5JThNxnimiI4dahpPSAZkMZIOSe/SgMZ2ErzVxqQgrxXyvMf1Ac1a4kguE7ADFIL7mQWU2WrDYzGid0b2l6zTrpiYwVldvSY+B+7cR/eCYVebYBLZpBTYiF4nRa9o50T/CtpVIkbEpIzEIlRB9ZN5LRJCopClFIErGyuq6y1KgjGKaJSVKWnTdlAgesZsoVwlyQU51I1EpibbiVA+rEKpFyIksBM4KzkRlfgUXiasWyNg4sm1BW1g6QUAyozkWS+sTRQiOtuHcS+wM3VzYiZ5CS/3Xe6z0Fdw/DuTUsBeCwkQRkblkArVVXOtCMZJ8eq/oKCBLIh2oCUTElkApjkAGWsjqtI5WtdE1S2RriC5DSvQBnJLMskbpsklIlcmtJRyqS7RBU0qikCkyInVBC2hyICJJorZlz1kxBsU6QtLgZSTnBp/rOYmyMmEV0CJxitq2KirPSz29L3/L+D3je6dIFnWxv+oaYkzMIRJ/Q+32PxZR6p/G7z6+XXQ8LczrpFJKgRby1AKW/4449RTTEwIWbcNq6Pnk+orh5I6aU73OZh+ZQiLFuoitRiiJkgqtJa0xDG1tr4upAsE7Y/AxcpxmlKgvgCzgrB9ojKYxGmMsQlQexK/fvcOH8LFRrRKICoM1dedQKqyqkaihb9BaIkR1Y91uN8RUa57NyWmkpOJxv0NKycVqRUEwOcfr2zusMidGlsRaXWHrSlTGktJ0pvl43wkpa7tYSrjvsJRapTnMEzFnGqU/ClqpVN+YUoqz5YKubTBGk6WgaRrapuXq6holNSUXNpsH1tfX9MsloggOmw3zeCR4f2pwi8zzhFbVoWWV4u379zw8PhKdR8pa6733Dp8CsWQW1nKcHc4HVouOs/NzLi4u+OJPfshmu+Nxu8OXhLIttuv50Q9+yPn5GavVihQjnbX0jcGS2O723D9ueb/bUUStPDdaMc8zx2nEND2xZFJOLJqOyXuO88z1auCw2XD//j1RCJbrNZc3NzRKMR0PbO/v+NVf/4TjcWScHfvjsQK4cz7xuDSNNdV1phRa14bEJ+B4DOEj68wHT8iJKUZ6bSu4XGts01R7uFIcpqnG1XzAKPkdkaPCzI3RdKatTYFKsFwuq9CkNNM0ARlrDdMc8CEwuhmlai16LjX217YNZ+sFjWnq5wuM00iIgZRjdXmJ6q5KscLi26ajPTU/KiWY3IyP9WfYtquCFHWtzEfg+KnMIpf6O8XEPB7wwZFSJJJJJ7dSzgWlNSDY7I8fn8m5ZIL3hBOr6m9wCU+PklwKRlXIfKkPmpML7RTtSxV8XtOBJyGa+tx3zuF9wJ9YXt99VjVa0xnDetlWplWKHPdHHvYH7rY77g8HYiqU8kTDEyeR+u//nfKPUZT6fcZ/DafU7xPfs/afo/UW3exxr15gwiNmvidvO8oqIS8S/+LVc+5/nXj9U0fzYovrCqOF9CFBbBFpgeAczUiTN7Vx7czy4abjxS8089Lx8OJI/ukLigeB5zNxT9CCrbWYT9eEQ+H42tF1Himftg4LMUqc08hP9qgkaHaW5y8986T55nXPDTv0yQU/r1+ic2TYf6CRgkDLLp+x/eSOEBW8O6dpDzB4wo3n0y8hTT2veUlrbzFA6854LEeSDLSt58o7sjW8eXmFvd+hfIACZp4RgG9b3KK2r7X7hgvvIWle84IFYItD84apqS6wfp6ZmgYpJS+959YYnBAs5pkNL3GypWnf8d2tsW52NBRW1wNp5/ATfMULuHmAdqZ8eYFtZpTxTHaC41AXdT/YYx408iiZVtXZpuaGab6kFAdqRn5vSx4zYixcbwXeWpLW3MwzD+WMDQNd91hj+KIwXU2Y0WCOmiGPHEPLMbT0Q3Vb1SFYxwWruOBn9sgqeS6iZ5uPiHVBnAtud5n1J5YXP+j5vxz/11wazaLP5B85Jl04Rpj/n5YP7Ph68cDq+N+Qy4ogOq7+1b/jXLU8C9c0r47kh0j8RaJde0bTcKvWCHlNHEfc3Tt+qDrsswF+fEZ8uEQeZ/TuHR/aHWFqSLfX2Gdv8N2BTbvlxU7S7wXdraB8/xV0CiEn5PUSWQpqf2Cz2DNqOMiWT76e6HxBNprdeWV8LqfA8XyFy4LjB8fxzYQic/FK0JYzRDTEY8CczyiRsVtLft5ReoHAk5qzKmROHzBfhxo1+bMB/v1AnmD8F/c1bi4NLi9YfBmxk0R/cYMZPVJ4pk92NOMLjBiQ39/zPF3QT4b7v/ya7tUV3fUZl5+c8/7ff8nj21vGm4woBlEEIu9Ie41wknUX2OxGjvNMWHhykSQEbxcH5nxGiT0/3Dzwtpl4lJF/9rM1+rPP0Z+84mW/5iE5HtLMJDJKRdoG/tWf/XPWwzWLZo0srxFcIspNvc62vyBvfsHPxo7tCo6rzGe3E/d55p1wtG4F2UCRnKsdM5kDBbtccdwd2H245/mDY1iv6F5cs12t8OMd4eEr/FfnlM0O8fCG8XEizAI/KeJwxJyv6V6+JMTX+M4wnl9wM76glTus/gV+NyOOBbuD2F2Qhky6OKLeCOSxQY8r1GcbxDIhlgr/725qGc7NAaUzxXSE5gbzizeQR9LFTHvWQqvwraS7V9ijotm2uIuJNLTk5afszC2kA8PhETEHhFRwtmRqBDIaLu5WdCsPreJorwjH2tp8WGQ6eUvrPeu3Pe7SkzqBsWvOWkOfJfYb+HBmOcqMeHPLcNYgFpL3556zraRxhTAcSAVyVhR3xVaMTMyUcKR9AH3MYCZSnIkEtteSpCSFDrv7X2LFe5S4J+odxXlyyNyZHrWPyBFS+BQtJCpH1Ou/wnYtuunhfk355EC+mch/fU1+sSE+P/Cl/wIz9nQHzcv3v65zXCvhs9eEMTPtBX9RMqvbgfO7BX/9Zw3Xc8Mno6X9V4/oxz36mwPlXcNX+mv+2vyc//G/X+HaGXm5Z/nrzCILVlLxTdOQqHOq565BF09h5JflmqIT1kxMk2U1FF5cJeZ2Qu0L9h38YpnwBoQRtPuW7A3OabrOo3Oo0byuJdge367hwdN1matPCuPdEqcmxvO3fC7PkCGx229Z3Qvm0PBNqe+ypsDCtdyLBVElrL1jWRakNvHw/JHPR2jHQrgtFD4hAnP5moUQxF7w+nNBfneOnBUNtXkwZ8E8W9omIExhNBpxHJAJ2mZTN46ypncXzHZLVO7jcz9lwTQZFiR6kVgwYqVBypZiX7K9KUxtJHz9jnJZKIuCx3P1ttDtBLdty0UOLArM4iU+3OPikTvOePZ84uI8YOcl3zCxTZ4fvLHso2FfLEd1Q1/e0/JY21qXA7Ht4JsGmxKqRMZyqPE9W+cMep3QZ5EP/87x28bv5ZR6wlRXX0AhnXbMn1g88McX3/tNrX+/awX3H8Px/4Md5W8uFL7zKVTGwJPLopTanGc1rdGsFgND17LoeqzVpAJ7F3ChOpBCTEhO4oAUtE3zsf3OGkVnLYuuoTMWFyMHVWNyVisaqUglfYxWQW09y6VwnN1HRtCisciupT05VVLOzCHQmYbOWpZDh/Oh/n2MWKHQsqClZmhboB6XVicAeoycleXJBSbJJ0FpPfQ4H6ujBAmVZU0COtvSt21lAtkqSCit2B+PzM5xHOfKoxISQWYhq5tHyxPzSEgWRiPlyUVTEsZajDE87Pe13l4qpGlOwPfqipmnmVwEOSW8cxUO3/XEFCB43G5Pux5YLAZaa3G5IG1LDIH1askwDAgjiKc4VtN0bPcHxnnm6tkN3WJJOyxYLRb055dceQ9SEnMmFegXA6ZpkcZguo6cM7uQmMcR7yNBa87Ozk73siSEgGgblJK4kCkxEYLnfqrNdDEn5tDSLlZ8MiyIJ3eWcx6XC8F5chF0iwWZCiNvQqApBSGroKdODiEpTk16UqJtjdKVlCmpwhWfBBGtFAujUUJBKVVooUYphay8MyEr9FBrdRIiZQVvnxreJudQStZz7AIpFaSI+NlVp1xMdF1H37Usy4IYMwiBbS3q5MZrmobWtEip67ashJQiiBpxpUCOiSI1CNBWoczp3rKGVilMSijvquAoFdLoKgjHSHSOFGt7kZSKkmsjXyqpxnUFlaUl0snkJ6q4IwXaaLxztSAjpcpyOgll+XRP8p3zTy4fmzVTzoQYq7PqxH96aip8ivXGk6Pso5NLSRphv30/VcUKhCACm9GdBGTJ+mxN2/ecna252G5xPuBD5H53xJ8igVUU+/sVRP7p/fM3x99+J/+xxvaeRt8LmiZjW8+H+B6DZ7CSx8sVWYyI8cDmJ4/IHTwXmbAt9IeetRq4j1uCyES1px89lIYkLnh3/g5D4uZtZJKJuQTylBE3B3qfWc2ex5QoSaNnxfrdnjlDsAIR1yRkhaaWmSxAtJL2EWS2EC+5ix9IWWAwzNZiS8DGyNw8UmxhXgvELpNjJuRC8le0sXBO4DEsEaPg6i6z9Ue8lYhrx+Le03h5cigPKBznYWbfF1LjGcIDuYDOirPY8qAtzkbKlaPdGISzzHHN44XDyMjN/R3HAUadaDOELiERDDuBKZYgJG/6megLJMloLVFtKXIPBfoQMSqTnwnwhRThYc7VsWQKvbsjHTMlKEozM+QOFQbmxYyKCekk/k3LwkfaFEmjRab6Hl6VO4IWRA1ia4glklRmf7ZGpIRIia0x2KR5nnSNm2tJUAru11AyokTWUZKXiamfYSuJNpGahDCCrYNpsuj4SFSBrYCDv+DcOG4Wnh+d/TnXFy0vjMZ+9hmb9sD79o6LKPEPkcNdpBksi1XP82tFkTPNbOnHjouHT2hXkvayocuFEjIhZqI6YoXheZSMVxG3SIhl4bEUuuRY/MUjeRcpaUJwi/pnS3Sn6ecDMvfEoFhoRbN6TnOW6D99xKsLktfkRw/tBkwBs2aRGrpUOMuGZbFIkfEBtFmDKKTdIzFrSsr080gYFShBaTyz2lPoyc0N3XLGKoEa1sgFiAZkWwgHR5wdwQvE8AJRLOoxIi4nSoL+3feRdoPUM4tmRFyBRGLSA2JdNy7NG0Vc7BGLyAt1RZKJXXbEQTI3I1FE5g97nB6Rl4azkilkEplt1AxmRde0tJ9ExocD894houSsUQyN4ovLRJ46mC2L6xvWIvIgCj/+YUNz8X3M8hXLUfDCPuLsnnS85NA4ptbjFg6vA0mAFmsKisSeO24RwwFpei5DR281k9G4mx3tfuCTfWI0D0xzYBotv1YjWkistMjGc7HWXF9dkeYIvhDnPZtxQ3EJk1fYYU/CE9RAXi9Qj5nhfaSsLGqpMd2IFi9pdWKZHEZMSOdhI4HLysdrA/N6ATrQjAHGGrGbbUIbSZGJFCeaxQ4ZWuK0QORHcr/HryPjJ1Byh7ANOUeUBxpJ6qiRzB0k5SjRwbvC0BtEY2nWA8S56sNSotwSKQztM41YC5TRPBOaR+mROaGGhI432ARN3jLLBcUKhi7gpCYAZ4NnpaFTML4y5NRDNFxvI6lxTJ3Hxwzp1FRvjshdoHEJqT1FFFKXUUOmuAZCR7dZkJsGjEabd3D3ALsjgo7DeY9bwkoW0CB0ILWP5HhNSRfwpy+QYcJ4RxaPpKgQty3lex9ARtRecCXfg5TIQTC/CqhtgDGy0yssgSYGflgatJXos8j/wkqMKZjGU/7qgRg1OV4yfN/yUkCfGxb/h8BejBx1z9s3tzBrEi1hNRF1nWdv7iSYRBwE6X0EE/ErT3EWF+BhV4jjyd2zishk0SETiVBAo9FihfPbavptCr5PFDFhZ8FSOorXPLxZEOQdqTjyNhPVARMKzRb2QoOyvIgdD94Riqew56LM5JRJzuGNIqRM2WbK8cShvRE8PjpClEhjSbK2p6/fHNDzgZwto14R9JasPGIdCSKhE5zvPDE4EobABawzUmXk7Y5+mNEykrewsQWvBaDxF5FiI3lj67pRRpx+QzkYioNwHcgpU/YFlrA/h7krqA8zo1I4qUhiT9aFJA0NgXkWPN4ZrlyFoRsyIUeCFjW1IO4hTuScWTcB4kg+RDZ6QqgCZGwJNMVgQs/hsm46l7v/OOj8DxbfK/ARJPuPcfxj/b3+Pp1jv3GRUFE7J+Hyb/4neQJGW63pGsvQNlyuV/RNS9e0hBSIuRBCwsdEPrF7tHqK8VQRqJRCTqm2bekTK0GbE/g4VdGqQGcMk68AZE6NBqf/VONap+NatB3Warq2RSKqe8I5GmXpuob1aslhmpidx40RlTICgZbQNW1tq2tbjKpw63meT6DzysZJIqGVYjUMHGSNihlVm+qejsEaS2MbrLW0bYPWGqlUFcNSptFVZJJKUEptecupsorySVBpjEVrBQKO3tXolJS1vS4oQkwUIUklEksipoybXT3OlEip2jAba9Dx1EwXq31VKo22De0w0BdIMbG+PGe1WtJ1lpISJVV2z2K/Z5xmLp4/Q9jqiy0CetuyUgqtNT5Wl4wxBgTElJFacJgch8OB2XmU5BSBExilMVozUp02xBoZiSEQQ8THb110ORd01zL0PSkGZucYx+OJpVUQSjMsl3CKleWcTlG6E/z+BOeWJ8i5khKj9YmNlmqz0enaVlKhpECe3HMpZcLsSFkgS0EWgTYnsVNGlKwxk8YaQhSklGvMLGVUVhhlvj1OBN7XWFyIkq7tqivOGGbnQQjargHE6djF6VrPUMoJzq6r8ISEXIglkGuXNFpXW2ORVMHMGKSuYPxcM58oVWOLskig8s0q16WmS6UAoSSiyJNoU1CquqMEIJQCKTHWkGIgVXNEdZHJWj6QYqwgdF15ZkrpU911+SjyxVQ5aN999nz3T8n5RMd64mEpysnhJ74TJ6wbKwWfMvoUSe/6nrYrDDGhpcJ5x+wcLiQm55mKI53ilk8Mu/qsq+eI3/AY/KfxhxnffX/9LnHx/5rDmIC1CWsT0k1okTES8mCIs0aMAudmrBM0QpA86KKQuWHbtCTpEcqh04FSJEksOTSSpYPVlNgrCCUhJhD9jFWZnshtFEinGSaL3W3JCoyx4A2gyDKTU0Cagu0EZleDfdFYXNKQKnMxKoUgoYAoZ6IVuE5R5npnqZwRvkOnRC9nHtMAXtMeYJsjvknIwaE3BQVkIZBFIUrBJM3UBLJNrP3InBskiqZoklR4E5CLEX1vEbMhy4aphaRgJfYcmkxoqpiWmowg1xLB2ZCK4mAUJoCkEBpNFgFEoSSFUYJGCXKTcFISvSQeRJ2oyIIRR0RoyEVTmoQKEl00Bmp7ocyIjULJiJEZ7U0VqUXG6AmURShd+VQIihT4pUVNDuUio1CcF1jkxC7XKEeREnXoEHYGG7BFoBuQQ6FMBdlmxJDAWJKAKSRM9FWwty19N3B+5ni5dnzafsrlsue81czDimPr2bSFfgR/UMzvBf2NZrgwyJsOpyPtMbJ6gNX9JaqNyM6jYldd4k0myoJBsMiAdEgboJGEVNCbCHcFjiDkjOhnTHeOyZL1cibTk6WiLYLcnqO7jDgryN2SslPEMqP8bX2B2JYmGVQuyFxZhakkfPKYPFRmWdxD0SiRsErg0WRA6UhsMllkkB2qpc5/uhVaVDczjUEd3kMK5KhQzQJBhwgHWO4hgfxqQemPyMbRF09cSYqWyN2RtG4pSqPeKOLgSVrQhZaj2OHzTJQCiicGz2E8oKRA94LGaZKoLzufBQtpMKZDLDMyChQNYpT0XcN5rzHLgpYWKQ2hK4RcsKKw/EzQNucYtUYXR7+06KEhtxfsW8euHXHFk4ojprlG3+NESHse1TuUEjRtw0JIBtPQmo4PRqBmj/aeoD8wxYz3sLWJpRYsZI3K9Y1ieW54yAq2jnJ3JIYRmTVaN6huU4V02aCCRqaI2c2waCg9oDPaLlBlRscDUc0IAsJJZNsgVL0PUm+RCNSoSFKSrSSaRLGGoiDlSNvPCCcovgWfwAaycbizM0qyKCeZ4xGdoEmaoiPRFJKEIgIiRTgENNcoDHrZ1fd3yQihEKGee7VKpLbGsJsAWntMDhiVkeIKHQ3SHBHaIhUYOXKgPkp8U2hNxGiB6yzuaCEYLoJgNwRSI2pcL3tKKoSmgvztLJC24FQh6RPGoNEgDc3jgixbipIo/YYUJ/IxoEJPXjUEo+jLSFaZbAS2mQkukaQivlhSDhkOEaFnGBeUqUXc3CNmDaNmORxJCpKSxL6huIg8OGa5RGhBowvP0oJkE4nAskSSLcRGkH4xAyuyXaLODWsUS99i/nTDIfbs5o58NeJ2huAWCDtRTKZIwagTqYEwKISIIOu7QchMToVpSiQ0sYWwiLQbhUxQqy0rCF5hmZMkaUnSmmhru6d2E630hNzwMApUe4AckAGycpUv52FnJMooFkpQnCJkQRKeTkQolf/qtCcWKmJilgQFoQe39QQq9zepHlUy3e6I1Z4kYeSMpDPFBGwXyVkhPDREDI4oGkZ5XQHvypPkhNKRRhRSUoiSKUICktQWaAtmX9EYWWQOckczN8ggiecR8ZgRDmg1zkg8MKSAl4aMBmayqjzerkSKAzcLvE8UK5Bak0skS8g6IcqEICIQGAEqR0iZvTA1Ri9q+56OBp0V0hSYBHn8e47vPY2nbzA09lTRnvD5b0Jg/xjHP0X5/guKUk/rM3GK8ElQBWKqjCWjNcu+Yz30rBYDxui6YEQhECfnQ+U9PTXFPYHClZQVBN1UAPTkHPt5pD016xllaKzGGE1rDNaa099r7h8fP1bd15iSRqsar1JSnDhO9UbKZEJIhBiZnCPnhDGGYTEgpCLGyHgcyTGhpKJtGxarJUarmrE9tR/FkyPEx8joPblQhaumq/eZgJQS43jEB8c4T6yWK/QpglhKIeXE7B0pFpSQrBcLmrZGy6wx1Y00zRwOI1DFm/VyoLMGpSRzipgnOLeoixBtLTeffIYQkGNkf/sBYyxKG7TRVeyRgmbRQSxEH3nzzTcfI4EX52t8SoSUyVISc21Hk0i6oadpGnyY0aVOMB+OE/e7HYdp4tWzZ7x68ZJn19foxtB1HdZaNvtdBXjHTAK+/PLXvH79mi9+9EMuLi9ZrVb84pe/4sXNNZ998gohNb/69a/56U9/WndMjMFYw2q1ZOhahq4DZGUjhYi29Xpom6a2w7mZaZpIbsbPE+PxyOPdLW6acdNEDInJB/bzjG0tXdOw7DqGvqsNjwW2uy0+1MbAxWJZWwdzph96Uowc9gcarTCqxktTKrjg2R4PGKlorGExDMwxMM0zj487tFb1Whu62viHQJTq8Iox4lNg2Xf0XcfF2SVQhVXnXQWBn1xZc/JkMgKJtRZrLWerFUM3oJUmzJ5EokhQ1hB8IqeC1jVOKpUghtpEmFNGaV1ZLQKCm+tnlQtSfXvvp1jYHw845xBkpFAIJImM1LWFzzlXY6ExfmRacQLzB+8rzyoXlNE1YhhqJFYAk3ccjkfGafr43Hlimn3LOMwfY34S6k5kzidXZWWllcLH1j6tVIXYS0nTNsSU8aF+dpCRAsZxZnIz43Tkbrtj8oHRBcrH6PqplOCP9xX4j2b8lyoh+X3b9wBEETTzOSXvyHLD4Yea9NggH1r+23+d+PCN4KtfCHi2pTlm2p1gL/+kOovwqPYBnTzaB1zfEgdJXEHzgSfLb/05p/+dlh3GtQybgZZfEVRmtPVdSZ8Qa0+5bWht4ezMc/ehwbWFcBP53u1Lokvc+g0AyUb8wtPuGrIxhAtDc+tpZ8GZa9jnR4KC2LaMk0GIQtfG071Xf6Tr1uTSII6GtZ8phcrgePYVlonLd3BsGuKJGTi7gWwL4pN77L1Fzerj98tZMk89TTshrcQtbrDjPaIcmS8c7Ycb7NgyMBHKlmgD8bOe9P6S5CT+6tdc9M/pS0P+1Zc8ljMSLd8TDsFIFIG3p3lF1hJ3bSlxRDvHqw+wN4ZZKsw4kmxDPvEhEYIsMvNyxswGkzTNK0d5nyjbgvxTzeQKboJ203IeIkNMvGkb/CKQusT115cclyPjauTlQjDerTlsFsQfv+OZzTyXimn+hPJhR/nwwKEUnl/+mE9f/Dk/+t++puuWWHlO+5P3bJ5d8PDZC77/P92ShGMcAuKHE8f3F+x/8ZLP/sUD9iyilgXzdubwMHB/e44YFjQXj/QvvsbkH4OV0E+sfipRcUTIO8LxQLYteXFOk7ZgG/JwhT2kKp5dJbI2iJyQfmbuF6SoiHtQ7j2h7zi++Iyz2JPLxD6/Yf3hWPkjw4LmsELLgFq9p+TvU2KhHL8m7s/IsZDKA/lPVoilxWqL+skIUyKuwZ0pshBwn7BXDmkL+A75tSIUy90Pzlmmn2LjkWY8R6MRWpCuM3k/kvaR+EYQP+mgE/TbCb0TiCDJC8vm04HYWy5vwZ0lRCd5ES5J+NpI99WE7RvUoEkvIjJMkDO+vQCtSSLz/viG5nGgmTvsZQ9Ck0Vh7O4w7hwVelz/jkVe0aUF7gDaerCeX5ot+CUyLpBN5PuXA5+cL9ipK647z4UNvN8qig1kE/jFITC/OZDeHzm/uuDqZs36csG/+atHnr0657MvnlE456e//pK//NlP+dQVRhPYtZ7F5Zrrs8KL88ytf46YtpjDB3T+HqVX5FVB3Q0I9UBpXvP4LpBHjxwd/qdbogtEIv7qE46qYYthObymdYF+V+CVRcmCiQmfDuRHQfrKov78AmkzOhx5bOrC24ZCliu0MHRCo8dfkoPDzQItNLSCcik4hDX50SB+Inj4QUZ3hmdxjZKvIUTybkHmnqIcdBklPsOEnv5RQHsg9wX/vIdNQKSMsYVoqAL1fI6xtxjtWLQG8eILcjvgxj3NcUaFKjawtBStiAdJ83yHsAX/+oa9iaA9r+wdoQhy0TRhjT98wCXH2/NX9LuMHSNieuBxaJiF4vqXO+LLRFoW1FvN8Szi+8ziKAkikkpg8Xgk9Ncku6Ad37LXV8xyyfrwFWIMxJj51fc7rLR0WXH2sGNyK9zYMfzlG0SvECtD+oHDh0uCP4PFI+p2Rt3PuB+PeBWJpXBx+ALuZvLdHuF2mOsW/bInmglx16HeDehzSRKSICRfXbyn3RZWt5Ljp18y/7pj//9Z8X97/T+wiTPj6T0RS0Og5XL6QFaCubFQBDZFeu/5wA3pzCM/2WG/tqSU8MbT7b4gJ3BlpOuOCJFBFOblTFEChKXdCYpR+HPLi6+3KB9xBQYpkBbSCh6mBtcowgtB/sVAGaEUhxQLDJ4lH3BtSx4gP/PIdxbh6lrxbK4RtU3TsGhvEAj283v8s1A3Ot41uLMZWzKfv4NDuWbqFJsvPvDy68IwA88gHSDMsBszoWnIskW4Z1igkNnkEduMtMrxYnYkIAjBbdNQBBRZmFczNxvoZslt2+B8T86attkj/BKyhfaeWc9IEflTp/GxMMfMvhTG85bUtfzgw3Me9YadOjJNK27YsWTmV1yjVntUN+Nuv0CrHdrsGJuRpYGFEvQfBAepORjDdrv9rfOkPyDonOqaOIkFf8jx9xUB/P9nMepp/H03RH0UvfiOk+BkaGi0pbUarTVtY2mNpW0MWpvq6sg1xqdEbd5yMZBTrajPqXwEbz+13c3x27a5mBKqPYlK8qSEUaHg6bQgnZ0npOoaKaXQGI0UCqjAfmstQ9chCsQUcd4RZEYZzco0FDJaa7quxfkIStB3A6JUoewp0hViqqq6P+3OlYw1htZauuXidL9U18rT51FFCE1KicHPlZ2TKwjbh0CMkWl2iCLIUuFDrTzNT9woXVvaqqsj4ELAbQNXZ2t62aJUtbvnArZp6PpF5QSdYnohODK5NsCVRAzlFIcqlG2s7qLJ8bDZ0lqD1Ybb6AkhEnPGNNXNJYSsEcOtRhuFbSxaVCGsK4LrruW8sSzbljSNPLx/T7teMc0OqSVvv3nNcX9gGieM1Gy2G+bdlte//hXfvP4apCK5yO5xw4fbO26unxF84PnVFUpKDtPE7nDg4eGei/NzXjx7zjAsUKq6mWKMtY3NebRUHzlHSnbYrmd5fsX1y1eM2x2Ptx+Y9kf200g5HKHkjy48f4p7al0dddYYvPPVuSfAp8hyGBBCsOgHxv0ecWrX00qRTq10PlTnk1L1WEjl5PSp7rN5dhhrKKXgTy16pRRyLozzRCmFvh0+NvDlUhjnmXJyR4UcKaKglEEKiZYKPzuM1EQZalyzetYxmY+2xnwCkCtqQ6QpdUJdAfBUITUXlDGVn6YVH1ehuYqDzjkOhx051+Mtp+MTgLamxvNShfWXnE8xQPnxdwwxPT1YOI7jqU2vMqe0MbRATtUJKRGUkmsEUFV3HCfOW85VUCs5VaH15KEqpbrUlKyClBACgWSaPS54ZueZ5vnUTFm/zjYNfd+xXAzMs+M4zYQQcSEyOs/ow8lVBk+uKSE+eql+r/HHFo3/p/Hbh5pnQtcS+waRR1TwiCQp769RMaJV4M3P1sgx8kp43m6X5BJJTaD1H2rzo5Yso8fnhlGcE/UjxgdWtwKfDSImZIykpiEmSUyScnbEqpm1OHK3FAQjiMZhDxbhBWVrCOUclR0+OGblCa6hfHPBJo1Q6n0XQg8lYQWILCFCPgAJoijsrGc4O8Vf9yDlAGQQOwR1BzeowGrakItiawQpRESRGDMTiCQEkzXItMJkSdB7WCeEKphHQx4yqhVc3a3YqQkvMtbOdMmDz0zhHbQOoRJI6BjRyrE5d+QUKVmRPyzJc6DERNkMHM2IMxO5nOGLQgjP3IyEUtudjPe4FYTGwN0KLQqKwt7AlAcCmvSJQ0wCPcNZCGyNYVYaO1kyGS898l6T5kX1mo0bWg3LDoa7wNQZPnQtWdYG1TxlZuuIvYHlikcOKEb65Jk+KFQHwmbOHx8Zzg2LL17RHa4ZzIKh2yI2HVEnuLqn+9GCTmfO/Qf8i54kEtkciC4wETkuIw8Lg5COfNzg5EjsHkkXH7hcfA9TRuzrgD77uoKSSwuNBzw5SuKwoCSFfPSgzhFOIV1EnHtkK1E0yCxJGuZOU0aNDJYGgxoONKowPD4g5i0lJPQskOtrhBZIWV0SXhemfoUuDygPxvUYpaHRhOffg/YAOSHnWKP1vUatCnZUlCTItlB0pJRMOBSyjyTpKekBtxOUcYU5NDXWakC6QpHXEDIyvsZFhS+CozmybM5pZYuOkf5dIpuEiA0r0aCCYrqMlGOo7qtryHOobWlHyAdBiQJxfsSbjlDA/HqL9JGMJ8jM2DmcjvSPHaI9gN7DV++Z1ZGgl5ThGh0y0mXOGg9mh7AOvb8hj5GHDxv8Z/AVka9TZP+uJaQdoewoj5G025IOe3a7B/b3BpaaxzmTuGIcD/j+gtEdOL+yXOgZeRTs95Lb+59R/ALtLul0wMmW7fAcsXtAzxVQvfcL2iYwyJ7cBGR7QXuz4PyTR6btju37R5rbCa0LLBT2MWBkQS4tcRdqVEy3RLNAtJ5mPaLuC/SFvIazqUVIC7bnoTxSRKalo6QleImYRvx0RDQCjaXbzLjs2HzqsfsVZm9IxoP9/7H3p72yZeeVLvbMfq0VETt2c9ps2IiU6rpa3GvjGjBgoADD/8D/1oC/GLgfjPK1jVI1kiiSycyTp91tRKxmdq8/zLV3JilRFCWqbpVKi0zynNxNRKx2zjHHeAZghLyfMDcBHRVSHzjuP2JtoKs9ZqtQzpFHD06jVELdT2RpjZxq84bcDYjtOKFwZUTNCd5Xqp8RMnWGtF0o2lC8Q04JNxlcF+jtRGHmcO9J24SYQnlQiN8jm8z5PrIzHt93HOZLnpGQnMibhWQHknZstie6SeNHi90Fij1SVUbqZzhXcWaC/AN2UtnJhN5olO+Qonj1AMpktE7UXnBHwTyAuQqo8wXOZpb7LW450sUjRcfm+L80GGvwk6KcKnb4lvFZ5XRW2d54lnNN3mW8DtgXDrNR5PcjyRWWUOHrLZ9k4qtw5Pndju4cXv7bE//2P/+QWS+kPvHhmw1vPxV+8W7hKCOKjAbUmSeJ4S4pyp2gZ4X76FpZSAkQBzAHelW4ygs36YzqEs7d4We7uosUeV1ocHeRUVuUNxQR5ssC4pGHPUWd0LFiPwowowaH6c7YHA5IFg68pugEJeOuBTsWXM4MSrEYQ1pRElYVnAgmJW5kaJzX5Ui+24FW1N09Mc4sSlHvK5JAFYW6hYnzVmBweYe6O8POjo2857SHZIT+U5sDZAPvnsP+gRZRhSfGKgKjsaSgSVcZqSdM1pxfR4w+IN5y/2LLxX3Fj4VTboVEVhlEIkJzFcN7FAUNPENTjePBJF7EB6hQS+De3VI3M2UovPh0QZwt91px2n2CRWNm8zvHSX8QUepxaFxqq+IV/u4rln+Tc+f3GXj/t8Sa+Me8/WaFd4v0tMag4JpDpVubxR4nkKhWE6/qd/YqpfQTqLjWNhl+jAJCa+OqJTOtTWasglhj5bT3UKWxZfTakFYfJ7k0gUKt/3l8TWOawFBrRSXVeEVaY5Wms02JNqY5rGIsq5AVsFq1ibHRTwJYWutQFao1qnUdPni6vqOsMcScm/iFVJQ2eB0AwXtLTolUClo/cqMUqqqVW9TEthazE4oRtDF4BV3wrX0vVeacSKVFlMzK/Km1opTGOU9wnhITaZ6I636sUlG1UqTQdnjLUj8cjxzGidN4QkmPlmapTTlRa6XLCdX1WGNI44nMGhc7O0OMQ4yl8wEf/MoKUqRpYjmdmKVgvEdpzc2nTzzc3XE6HAjGk1Kkpsj99SeWXFhSZtsNnE5Hru9uWZZI5xzBaJzWaBFSjNxc32K15WJ/wWazW9vjoK7vt4rgrUfpVTSwFmsdwXd0fc+pv0VKxWqLGMNSKss8Y3Vz3J3iwqM6E7xrLYq0xsiKUKTgncdZC11PmmZyiuv5yNP5F3Mi14Jd45sN1r3C9WtzdzWAeWVaFtwaSwVIOaN1JMZI13VPjqFH4a2WTKE13rH+7loqaUlEG9HGtOOnVOM56NK4V+vrSyrUqum6xnVSSiM5w2NZgEjjMFmLcW69strzTKnmpluWiZwLRa2CtWpxSGMbmB0Reu+puVBrWa8X0xxTKUNt++ERqp5WDpS1jZdWc3m8gpFasLYNoGp9CgySq0JMpZYWVW33qNaKZdf4aLNTNTEwpsSyROZlZkmJUluUNbjmXuu6jj5YYvD0zrayj5g4zgvqNJJKi8J+ly5c72v/tP3Btr9Li99/6XGBz5msW7QhpxHI2KpRhwFtRoydufvgORfhgsqHqUfZjHIGq45UZSja43IhiyarnqzvCFHop0LcNdaaKo1FV6smJ42pC0YEYxTZOZIHsRUrFYomZ4vCUU1hSao5JbNCTR0n/4AyGZxQlw6dMkYtiLQoGqliqqCUMNvKdtDYorEPhoppUed1qwhJVVyZWozNNr6c0YagNTU3BtxiDSE7DO061V1GRKHvPHm7gIGuOg46IqpibcbGjJQCJaI9GKvwBaxktK7M/ULr/TbIdY/IEYgwdsR4IqlK0eeYmrEqsdjIpBxJFH4WqheKq3DoUHZGmcyohVICIg52DpIB0Til15IUTVg0i6skU8mHQKmeYh01w2CgV5q+CiejOXaW3mb0BHkBMQlMm4RPy0wvFWci/f2Ay4LeVM4lcXm55fKPn7O//hEmzahy5HjYkDcRRSSdnSG5oNORdLZpx0S36H2umWwSY8tJU+LIvZmgb82lujtgTwl7J+APYCrKe5QZEVOa4LPzMIMaBfSmtQyXCekreIOuHiuFajWl16iTRheNFYfuOrRk7BxZjhGJ4CfP/HyADnQeUZKaWGl7nLrFAdaeoXqD6gL22RVqniEXajQo355ftgd9r5EM5VyRtSFLa6BtBcoZk64hXiFLjxwNdWcaRH4UCANaBFSbSFURFqvovMcRMDXjJmAWcEKYDBbDw0VG5TZZZSPUpaCXgpwUdRQkC3Sxgb8zmOupPWMtxGiZ3JGFyOamg8sJhog6RJIZSQHM5gxKxsQWl6q6gqm4WKkxcpBEuRJGVVoJ0EMkjrek6ZbzU4F4QNKRaRbmpTIfKnrjub9JjPeR4/6B4DXboLCbiolgs2FZbjhVxUGesd1UVGdJzpPVLSFF1JKZKw2jkQPiBHE9bK44uxrQ1wMHAXd9AyqRXYSpYL3CbAzpNFO1ooqh6gGrDG6YUJOhIsim0mWNdgHsFpU+rQtEiRo7JBWknsiniIoKvbG4u0T2lfL8hP92h8pCUhFlC2ILsav0ElARpBrS2UR1mTKA7Tq0EtQsVNtaTEtK1GjAVtTZAVEbquqIEVgSVif0qBCdEJOpooi1tWOrUknHjNJgN0LnW/tvXHrSoBEjEMGEDu0qGzcxBIVRlsl2+AhaCtc7RfWOqj06jLjZUpNDLhzidWsV5AKtHlCykM0Fod7hWLl+3kIxnN8miqlUK8Rtw0w4UXDRwT7BpqDeKUyc8WWiFFCmA9O1xcmsSQmwd5RgyFsPiyEPMIWKzZ7ag/KJ+jayEBltRB0HplB5v53YHzr6Z4nw+cRPp0vER+rZwjf6iqAj43hkigvoCeMmSueJFGZXUIeKyoI6KqRaqE3sJpywKrGVzLU2VF0Ql/FTt8beFdkbtFTcnImrm90gTBtFiR7iBu8ndKmYgyAqYp2i7wybcSGKJpoB0SOmCOpg2rOxVjpg9ANZa1AVpLXW+lpx1VJQGF1Ri6NaTbyAZHJDepxaPC+KQs+VaAOLdaTdEXdw6KoZeODoLMnBViUygao0U99KKlVSVNHr/FiBcmTtwCjwM6gWbfciWD0j1iJ+h8fSJ0MUsKqNuaspaARdEtUdAYOulg7NqA3RGF66hYonVof2J+qQqUOlIxCzZ1IK2Vq6pOnKf6H43h9y+0PEyX7zZ/9JlPrfbnsUkh63TecZQmDTdZztdhhjGhtpWZ5ioGYVkx4nw6jW7vgII36sjX/8AR/8CiVXWL3Wwtey1tk3kHQIoYECa+Fyf4a3LcKHtIl5zgVjLMa0iWbfdwxDz35/RlzjQ0tszAalNQZDoTWtzfNMpsGOnXEEZ5+A5i0s1La8OgmVVlxd7BmGju12wzI3h9E0J1JZRTUq1nhQipIj4zQ2Dla3bZPsUpmOR1JNoMD7wKPDywUHtYlIKwWJXAsP40jJFaQJJ4+ujeA9zgX0GkFs5pQGzw6hiYUxLs1BojQpJr69/sjd6YA3lsEFvHXNibI6SLTWOOcwxq4iYhMRgutWRk+P94ZSCzkXxnEipkIqhUOcCV1P1/fsuoG8zMRlJsf85I5LKaFNg4zfTxNziiwxNgD+Cp8+255z9eyKZy+ec384sD/b8+LFC66unqFX6HzJmSJN5KxIUy4rKFVXkLZmd7Ynp9QekA/3nA4P3F/f8PHDB7oQeHZ1yel0amJLKWyGrolSypBSIpdCLJnnV8/puo7QBT68fcfheOD+4Q69ijoC3B0fgMYi61xAqjAvC+hV0EUThg6AaYr4Nf6Gauwrayz7fsd+v8e5JljNcSHlRIyxCb/W4PoOp21zJObC7mJP6Nr7XlFNCIpc2vtPKVNywhjF82fP6Ict1jmytC7IUgrH45FcGsS9C+HJzahFGlsKoZRKLpW8CrUN99pielZrjGrXa55n0rwwLtNT5rfy6F5qLqjT6cQ0TS1298iPosUW6yrCPd76H2OvCrWex+3ulMmU0loC89LiuA0Or1p1d8zcH0/MK0fq0clWRbCP4CwU1IKSpmWdbweG4NkGzzjPXB8PfHN9y93DiSUmlhjJq9j4CGb/u2z/5JT6/be/ryj194nv/Uvn+HQO1xegB429M9gb28QdvpMptzmzS5l7PsPiCcpyHb5lKYoYLUO/YEvCxsTd5gv6MrKPN3z8E4WaLPajZRw9Iu1aOeOWHCrjAC8Oiqotk/f8YInMWvPBWi7nhaw1D8Gtj9X2vJ3nHbKL6M/usb/8IToVlP/EspxTfYSLT/z4WlGr4YPzzMtAVx0vCcBbFp2578K67xTzbNFfnFAE5O0XBP+eHriIzznUXxF1JHcddRfpXOW1Urw/eE6LZ5nPCeEeYyKIYqZHUHSMKISqK5OfuSywKYrNCN/ymlEFfPceAKmOZXmJczdovTDPO7wf0W5h8hOvT4oha96FQLxIlB7gAokHWAp8/COQGVgQiZwR2GjH2RZu58ShCPGzM+x4h58OvJhnHpzjqC3j6NhczYT9wr0Bd3DYowUBEyO2Zl582fNJZ+5q5n/4oLnDcqMdddpR9hbOHP/67R4/bAmXA//m/3rL1vcE2fLu5gJ/fKA73rLoQOcCveu4jgs3L+HmC82//makdwYzOG7tR/I3O8rPnjP8sxv8LuO2lbsry8w5U3zO5x/e0C+JsMBYP0Nh8Vq42L1Be0F6R/yyoCRgThv05CldZLk60cfXhBjYTJacH5AhUp9lWBxqtuh7S3kFxQTysoNPv0CxoDaGh0sL1tHXnu5Pb1BVkV+dM140R/Lm5KlXAUPP5u4ZVb6iokjqx9TwM7SM+MmjPxZQmfKDkSU6krZMO8fZLx32lIn6BnW5Q4nBfL2Qf/iCsvdkd89wfY8dhWV5TdiN4CuHcoY9TaiykPcntD5HK48q14SkMIuiXls4F+oAyVjCyWAjZH2knGskGLjZMX54TxrvcVdgUwAd+PTPd3iZ8TEx/HmHXCrqmaXqL6BkVFlQ47f4jcENlm7JxNSTa4D9PSkZUjYcd4GkC6Izz73Cvo2o95H5TxSmOHTyjPZZ299MCIV4HJkPR96FiJ1f0M+f439g2IUdZ3ZHHX+OGs4x55+xv7SEGnFp5npzRkojdbrH5Vf4IoQSGV99y0RiLvA//eB/z90h85fffGI3v6PGA8t8z/TmhI+GnQSWz1vbIEeLvqsoI+iNYqlfwDxiHn7J4V/s6Lc9L92O+68jy3IgyTvqzU+RUJDPvkX+wz1iPfUnL+g/RnSZqeGebzc/IRtPz8h5d0uh8jH1vPrY40+WdPKoc0H14DawvZmwpsCXMN8NrTymu0FNHrRF9ppw36MXj8hA99zhthW3u6McHEUc8WIgjR4Zhf7bI3Fzom4r/osLXpxbOtNx/fEzCpokmfv4hs0xEXKlv/QcsyFJ5XJ3TZwvWcqG92cFW2+x8UT3rWUczpiDJ6l3lF4wTvOFviTeF+KxQurR4RPa3RG1oKNBzxpuIJozkuuR/UPjYUVHnCxmWTBxRsw74kYTB4VhQn/oUB8D5urI/dmG+90GVz8yzAOb0wb9lz9jetUxfbnl6huFzhO1jhzLC+70yJ27Z68yR5O41Zkf//kF475y82rh5X+K6KEizyv78mOM3oIdqF+/4276hnfLX/Cr/9eWQz3y0H3gq7vARCG6BX34CYaEc9fr00tAwXS5ILpCEn70SVHE8mnFqBhXCNuF+aGji8KLlHgbXrAoQNo4vBE5hNnP9KXy5VHzwXumDSwvE/6dRy8r+1cEXSt+nunVF1RjuPefvnuwi3C5jUiAtztPuZ5BKuaZJvAKFzXdh2+4K+csaAg37A49tliWvvUS+ip8FhfeyEuOOtD5D4DgRHgdI9fOcVCWadogksEp9OcXvLipbE6JU/3EA45Za4ZuWd+W4jR5gs/0Rni19Ny5yMEX5hcDl9dHtqeZ+csBdROR+8o9X4A7ocNIf9WRTpk0J+YXM4/t8LrXyCzUScHpCpcTvkbuH/4Lxvcex+ewzk3/xu/9q+LTH6rh7p+a8n779g+9bwSacPT4ekBnLd5ZvHdsh57gHN41N0mz+VS+K3Rff0lzWTZ3Q/tvc1EJK1OpPrmutl2P0prHOnglK8tF5GmSa61ZbzCaIXSNH6UaeDyrQqlN7NBG4YNjsx3ou57gPCml5lSRNvEkV2JJtK5JcM7gjW38mrXtrrmfaqutt22iq1Y4tvOBzz9/xXYz0Pcdx8OReY6Mx3EVaTKn46Gxs2pFG8swbNf9qTgcD6SUKLkQVkZULkKpsR1fVRnnqTmrVHOkGd32sLXtfTrv1uY1VnFHPV2TcW2H65xHqwawtsas0G7L2W6HDZarcc94Gr9zpkibpGutGDYDXTcQfNeiaNKcL/O0YK1tDYjekXM70JrVXaYUlMIyjaQlstgjj/WIzmq0UShtMFazxMRpmpnnCaU0vfdNGKgVRUaVRBccV1eXXFxekHOrel2WBnmH5t5BNehu6EL7jKsTTdbo2jhOLa6lNJv9Of12y/7yElEK7z0Xz67wpxM5RtISWyxEKrnmtV+nffZSMzHNxDzxcDpwGk9MS2yOK2vYbjdsuh5tdGtr1E3QU4Bx7TiUUiipuZOCc+34a4PWirrG1YbtAEZRlWCMIfQ9rgZsWNp1Zy0uhNYGWGV9/TVG2w+rS6k12nWuX3lusMwjtTa2klqWZkl233HMtFaM00QuGWsdWJAq5GWmlBZ5S6v4672n6+16XTVo/uPx19BW4owlSyWXQi6FMcaVNdXOt5TyE1BerT/72IYoxlBLEwVTSk9uy1Z20N5Lc8itzYDS3JKpZMosWGdXaKR6Ei1LU78atF3Wv9e1TKCWxpKSSnzIWGMIzuKMIYliu9ngnSPnTEqZh3FiWYXuugJy/j6xvr9OYPmnZ+B/XdsMyGII95qz+0w0hWVfKU6jJ40ZV4aS0RTlSJzITEQ0VQkdHVu9YZffMfeV+yuF3CgW4LYXzK1D5Rab9f47F/CSLihFoybDoY4oVVEi3FhLWc+bk7PUVRxPXUJXjV0sl+rQonnGkbpPKFNQZsHUE71YdvcvOKkDUTWXh2hH1vCgH8hpQ/aZ9HxCThfIbFBLgTuLYEEy25xwuvDgbpnONFU51EmhFossmpQ39PGIKROLFJa8IZaeWk9ol9C6neN9zk301p5RJaKGxXmCHPByIM4LcaeoOrOb3jMnISoLGHJf0CHjJ4+S7Qp+PeH1GShLvpuhKMgaJ28pppU/bONMsYnJW+bLzHwsxKiQocOMK8RcLlm6mTpEXveKpBTpwTGkhE0Fk4QHBnzJGBTv0yVTXCjzzLepY3GV6Cv6s5lnQ+BZMHw5FPqNot+7Vudee1h6fDkR+5FxmBmuI+ISsi1sT5EqezhdMsZMkoIxiXp4R10iNSzs84CRAHbg4s035DCSt9ewuyI7hUMwZcC4ROhHjNmjTQES8m6g4sm1Q+cW1RvsjFxGZGupdYCjhqjg2wr7hLhE3lXkE1Btc9+FPcpl2IxstKOIJkkhvNTYbPDKoOUF2irOziPDF5/R9Tv2sqPeW8Zl5k08YrqAygr51KIwkgV1tLjo0OLgtCOnB6JbiHtHGAImG4pOlPkeUISUicYzO4WeHpjZAR5dhWXXBN/uOKNrQilB9jvqJqJ6KOMZeTNR+4rNG8r5BHXBXiuMBhyEvSWUgTRU8rC6BrVh974VmljRuBc9Zh/Qm4CeFWpxqKI5bjqsctjJk4OBkNFkyrVHWcFYwdwVzKmglsLykyNT0NRnhlA3zDZT7EJ/M1NzaWPHzQ21nqP8Z9jhLV0qDMsb7Cehf/4DhosX6M2XlFJIx2tui8JXCBliGjmoxB0Rv7nlMna8GgMyD4Rq6GLP2/eRuiSusiYNO8x5oO92mE9vkE4zX20oXUDHhCkTuIQkQ5k7lL0HFamyYRgtrkSi+sDy7oxUoG4iH83PsUlz9TUoDBhNHStmZxG1R3hB1y2gZrZR4GZAJ+EiK4KaMUGjUqGcdehO6GVqwrlodGYdxxfqpue06xHVsdXn6FzRVlBzxYaK3sBydYYMnpINCxZ1XnCbyjY7HjY7khfsKMxdonrFrhbUJlN9RlsD7zuYFfHqQMqKXAzz8qKNocqJ/VwwojHs8F+c42qgF8WDORJcIGhLKAeqCZTgcPY9ZdaU0znsbpCcyaI4nW1X8WlBjQVtF5RvjlrtAmpx6KNHp+ZIOrqebq/pusIYDOIyHSPIDp0F4sjNl5+TNzO1TpRomINl2lzifq7oQubMRtS1ww2K3ZnhdK+hZPY+kjeFcoL4p4r/uLmh391weV7YdIpTt+Nk/meu/o+Fy8Md9W5gE97zNie+Kgq73ONrptMLs/h1oUfYTkJ2nsnvuHcnKG35N4dMFk263aPJ1C6zXMFgIybCeA85n+GD4uJqJl0bjGTy84VeZTRNfL6Ye2pSXEtGvVzwkum/BZFbirTnedokRCzcXXKY7vEkXuzgWsFShDoJspwoVTOdKezNiIqOpbxi2R/JJqKOhmwS2RXedpWo7jHVs5y2WDODyrwtHfOQyTbD5FFnMypE/FGx1Ob0zc0Qi6oaG88odkZ0IviMMRUxQn52JI0bUtzg7kfGxTEXT73ecpbu6e3Igz4wyEyIkZtSyMk0B6FT7CIMixCnSsyGlAxhPOCl4vkdwhB/R1Hqtwkbj4u+Iqqtf8uvD5Z/18rkbxtE/+bPPX7f37Tq+fuugv5jhp5//3j9QzC5noTg9mJtAiiyxvQ0Q/D0XaDvApthWIHize3z6KTS36XsvvuFqv2PUjzVs7eWrO8moVZrgvMo3ZrF4sqtakJHg4Bbo58mzVpD50MDGStFKaVpYOb7Dh9L1/WEEJ4cL98/P+oK89e6va/WCNYmvS0WBVU1V4bWBmsNoQtoa1okbNiwPT9nsxkI3lGURrsFaJ8vpwZ8XpaFx3V55wMoKCkRU2zsH8D7xm2SIqvDSqhZsaRELOnJQYa0yYrRLSJprWmrCYD3rolpKEpRrZIWWSNR7cg+uoaMaeKJ95bdsOGaTy0eVgtS22BdG81ms2Gz3dF3bTIuCLlkbq9vWrQSVgh1fYpVfWc6KdSUESJpdcZopVG6ubasVhjjmGNijpE4R5x3BOvpncOIoBGcaQD8fujph4GH+wc+XY9M09RkMK0JvsUHRenWUOcU1hmUfNfc1hxvoLWh67sm8Cnh4f4Bayzb8wu098R5Jo4j48ORklv0kUcHj2pgwpQjKUXmNSJZVieUq44tiqHvnhhr0BoUrTJY1/hLMTammFK6ua7W2OtjJNVYw7DdfncNGItzLZbY1bC61wzONpFUSjtnnGtFAMEHssqU3Bxn3nmMtWtMtpJSak7EUlA5o9fYXGuDbHFVnfQa71NNlIrq6boppWJsi+t1XWtzkipPDpTHc/Lx/6xzVEDVSl5jc1IrVPkOKP79e/26v5vUqRp/rdQmvAKPDZyllCZO1bryo5rVuVYh10QReYoM58dWvu8x8pQ0EbDFB+RJdKu1Msa4xn81m65rDk5rcbZFJktpschxWdZ9WqjrfUt9twf+3ttvc1L9Ps/hf2wLPP9buqZn1YSNbjTslsphB9NeUfqMThYjimwUEUNEo9Tya6e2s4qNsQxJiF6Ie4W6yRRTSL2wObSWS8FiQot6mFI4qg1Uh86WmYLVkeASD8WsAq8weQ2ioWiKW5AMWjRbJhY0D6pD7AmkMSWcnujKhmG65KPPLCpTikacourKoiKz2iJWo8IBWSxiHFrPMHUIGkyhk4KWxL0bSYMCLO4EREetjrnucHXESKQyk8sZFYuqCuMzylZEgc0VXcFlxxwKixJqCuz0hCWRliYoa61wFGLpWizLVaqv4Cr9EoBAxYFMWOlQxSGnGRGDEo2VEawBqxhyZNTCYhJLWChRqBgUCVQGXVhMR3SJ6is7U7hfFNNsCKeElVaYoKpCxJC1MKaOOinkpJhVwGwLm33F/Kjwyht+qA0vL2EYFGFnQQd08SAGrxcmVzl6GA4LtTMsmw6D0CsL44ashSoLZj7CrFEVzFAZaodiS7Z73O076rZQthMn/wwlFlUEmwKuq/hdQcsGTQFZsHd9i8Z5Q1UBUyphbaIiKERbVDZI0sjJoDdtn5c+wa2054iviH8OzqL8QsiOpBSLqrAz6Gzwi0bYNfRD98Bms2fY7dj1Aexz9HhALb/C+w6VPHGcaOqkRsWKzh5VHZI8iypkl4hDi9+rYqjOUvOCGgU7GeJZoBiNUxNFW0R74NTir6LZJIvK7TQS20G3ts9uPMUnqs34aqCrVFVQ9xqMQjlNbzS2duQAoxLSIIiB4WsAg3Ia/bmn228IfYe5bwtPWM2sPWYJqOTJusWV0BGOFtVXlBb0AcyDoOdK+mxiMZ60tRjxJCUkk9mVRJqEulQWRkRfIfqS0D3QTQd6fUAvBi8LPlRsuGQ53REf7pgOhSSWVB3VjkyucmdhMBMbY1B2QGePqZ5Qzrg9JUIunInhLvSw7bHnCrc/EI1ifLlD8gZlJmzKJKnI5GAKKHUDuiA2ECaFTolYJ/K4a5TTUJnkBp8dZj5vgoq1MFfU3lJdT1Ev6cwv0GVhSIZ4CEhWbFXB7TLago1C3IIJ0I+FHHpEOSDjBgGjkc2GyXWIGgjlvDnNbEYTcQFUp4nbAayHBepDwg2C6QR38uheUKaip0xMlUrhnIT1FTaFM2+Ix55sNHV7aEXJSVGWDYUHKgs+V2w1GO0xz88wJ41fKsl3DHpDwKDrLUoFtNVYHqhlT419m5uIUJRidp4uTtiyoKMCLVRb0TqjMIjy6DuFzhqVIGGxoVI2mZQUSgohVorao1ID+y+vLqiqotKBTCHagakbIBW0MXRiOI0GURrXGQ4VbBLCCEtXWA6a07XhV+NIX2amcOKSM6K/ZOpfcvWTiL/xWK2QcEAnw31SuJTRS0SnQhYh09AuflGoallsz2QiRjK2CtEWJBnqGPCbjHjFPHh0SNgJuAdKQKFwm0j/0SPAslswueIWjX2w9NVQaCYE3dXmfAJmu5CMBizi2sIrNTAnC7ZymRW2amKtqElR5xmUJneOoBNOIKUtZThRQ8GNmqILxRZiaK2OuiTK/R5jE8VkTjjQuTkMtcL4gg4R/TAREZIFaIuvGnDKoVkoCOIVSpqhofQLpB06d+jTkVg8WXnsg6Nag7Jg9EhImb5kIplCh2CwoggFtlFxWgSpGqmGUBNBBPe3GN3+3qLU06D8Nwar6nsRq1bP/Pv+5n/afp/t+4NV+St/+C+7le+9sKHxooa+Zxs6Nl3H+XbT4JNrNMiaJhTlXNqEb51cllpWB5T6HsumNdNZa6grR0aq4F0TtqyxRCmY2gSqIYSnlr6Nd81N4jzOt8l58B2s4HSjNTk2MLpW7TWsMThtCV2HsZYk4EOP0qbBpVNEKfDesN9sUFo3F8eyUGvmMUKnUITQEUJAG03KiRITyjQ78/v/+BeNIW00u83Q+EExEYzCAn3Xo3Vzeiwx4rquQZhpjKSD0tze3zFOmuAKwzDQadPkHQUv+4snjo9eb5q3xwM03YxgDMp5jHNcXF2xzI1x5A1I10DasiYmSxWmZcEHBcqSqmB9z8b11FKpqTWmlSKkWkArdufPODs7Yxg2OO8aEytG4hI5HI5M00wsLWZVSiHmxsxaSuEwzThjCM6x32w4ThPHaSTWTPCBEBSbXU/Vhlwqx9MJPTXh8YtXr1E7RRUaF8o57u/u2Wy27LZbrNFcf/y0Njb6dv7lQkmRgkKdKbrNph3Dx0ioeYzIrRfdupN/9Cf/AyVnYkwEY0EblmkixQVqxa3uQEFIJWFtOw/G8QRa6DrHpg8EZ57upRfn5421ZT2PL6ZRpJrIOTHNC855fAhsdzu0VU9RtFoawHy72zeRpQoxLlxcXND3PV3vW7Ngbly1nDNSK2f7Lda069M517hNOVNSgq4DJczLvALT4dnFxRPEvq7XRKmNmbXZbCm1Mi9LY4uoinGeBvCqONMGJyiFWWOu1Iq15glcDjCnSJyXJgR27XrUzrVjVQoPDw/NtbRel0WEXCtaWsmARpFLbg4nKtNpaqUHq1iWanNfCaBlvU6Ca+6pXDhNU2OxlUJMCQGsX9svS2kw4vqdKAU8xfEc68CvVm4OB4TGo/BaYbXBW8vrF89AWvz35uaOwzRxexzJpa5uw799rO8fKsb3T7H3P+x26DrOcma/RAp7ykNHPDjk/GsulsSzWPjZC0cZd6iHPV33Fr6/snhxjzy74ZtfeKIGcqTffUvpFGlncH8xUfMFybwiPYftdMezmw8sP12Q2WA/Ns6b2RbcVeLu46bVUJdMvIrUaYAPz2D3prGP5mdkPlLFoMoZIcFmXriKkVEio/b8wgPpCq0m+v6GeQZTHRt1iQp3SJyxf1bI3TXVGGjJY6r1LNtzzBF0M+ziPrWvKWBedkwhcPojx5d3PXoMXN/t+VLdsmVGTOLrfeW0aVHI+3cOfWrXjN5rlHZw9xm3n39L2bWo/7M3gj1YvuU5L/Ud3t/zzRf3uHuHOwWGH4H91SfkFur8nPRxBCMsy2fUOgGZWW2Q3S2qPyHSsYvC9ijEvxAm55iNZ76pzC8V8acQ1Fvyu478qy3f9ol0mSiXBd70xApa4EfLA9ey45ZzutN7UhpQquP/7D7x4o+fcf5vXlA+f85eZ/YqYXMm+p7FOs5/qSndQj6/wcXP0bfnlNuZ/sdfc+Ne8M7+AHN1x6sbxeefHpj+1Yz5MGF+PnLz4pKh27C/2KOOR5Q6YIYRwmvGjeFur/nRz97hdhr10w6uv8DqntBnTleg0hb3cI5/OODCEf/5DVWfoXBQNZvxC8xDh5kEcBRnKT8I6MMByZnSZcyfWKptzcrmL9632vLgMd8aqtfIDyru1mOKongo/kQ2mrTAr/7zt4jR+FAYymuSrrzrF14cvsSJYTz7xPZOYUSRzpsoWW0mbm+xD2Bnh5or3CcEhfvhHkYLRSGXle24tGfh1R4dDmR7zYfNzOaT0EWLfXFB8RfgHee7a+Y7TYmV7vNbzEOlHgq+u4PoEWWJrzTjpke8Y5sixu5Qmz3d3Q3KQXJgbWF5achXBrfXXJwrrnpLnL5E2VsKt9z+zJCiJ8aAv78jU8mdRvlKxpMWR/02w1VCXif6twN1UCybyu1wT5d3DPkSfpBQHybU25n3vzxD9yf87s94/mzBXxTsJlDN/wTbmZj/FHXxr4ibynxZ2P3iluRhHCxu2WEWYbMkfnBybHpP2VmuQoKwUIaRK15hJ4c/aM6MQAyYmx3d/yUwHoXrbx2nyxNmTngK0xuBOmLPH3DmZXMkDwfCfaRUx6Q+R32WsApU2fL6q0tU56l/3GPKBXZJ+OMH1G2mbAReOYaPW9SDhvcz/VlGLjzxj86x0zl2snhXkf0nrMvs9BW3n/+ocYHmr9h82RF6x5A6PvsY2wLSj47E94k8WZbnr9nahDMw1I5y1JSHCfvtL9BfPEP1Gx5iII13iF/If2SxDz3paPnQj9C3n/383cDSG+JOMdc9VSWyy5xtDjyozJQ1d4Pj/HphE0+M+kRfwEfhmQ6MNnHQC0F1LBVSzOjrwLJfmK8iNQeS85Ti2H21RXcKva1QP7HU16T8nE28o6iKMCF5pCx7kD2bjyPH55Hrq8LnX52gaERbzMsHymlLftjz+uoXpBMsD4Hx8xP6oNn+0vHLsz1enzGkz/nZq/+EOyiGrzp+/q8WkgSYz7jg50yfOR6+GPjX/0vk/q7nV9uOu9MJo36Btv+e5dmPmPZnzMMP+cmnDT/ptvyfrl5x++b/w9c/f8Of/q9fcU5lMZqHoJhqQJ8Su+tfkYaBIMJFjHwkgFQ2fCC/UMR8xrtf/AB+/JdoIh7PmZwoKfPLuzt+WgJihTdAuPfoqEEJ8cVtw6pcB/RNRpXCg8D45SuqMbi3n3B37blLeAfAvFh+8fU5Qd0zqAgLxG0kolC/+hHnr77FXU3Ej29JJlJ0a3GtsXGUlVKUTYvMe+Upe4N0MEhiOXUr9/WaZ4eKO3b8/PkWf5qxMQHgXMb0id3zW9y1Qk6Wn199iZ1v0cuB+LVw8Xrm6qXhL//8AtlZbBAuP/6SqCwftMeHCVUVRRRq49BDghgJ3wbGCuP3Bz7asHz2GdN0RE4Pv3Oc9AeN70n9h9dFfpvj5+/LivhvcTVYPQKS5XuT5XX7h/o83wlg7U9WN4eJWR1GVrdGrwYvd3jnqboF81StjXH0WM9OE5+MaoIUqtXW21XAao1z8hTrcX1rFLOmQVb1KkrVR9eENHcPCkQJu77Hr9Ei5y3QmrcaO0mIpazujfLEgKqlUkvl+voW61yDLAvUkhvofHV/OaOeWDpLXJrbS7eo3mMN/WO9PLAKRGv0TCl6JStsPbO1FmdsE3/GA0vJa5yxOU9ijJS1kS1YRwgdrGHHJSWSNFfOrhuw1lKlEpxfo2kNEJ1zZtMLtbaYg7EOHzp8CHjnKatAURUt1icK73xzD6nWGKd042ktS3wCXVvfU12hlkKcRvJjs5q0+NcSY4Nnl9pElRRJNVNok31FW9HQxiClOWl63zX3ilbEUjDOsTWtBlyUIpaMKwVRCuc9zgdKySwpcjgd8V2HDx226+j6ju3QM48tZmiVYggejWrnUc3UkqhxYc4LWjLeaty6L5U2T019pRbmZSGnTIzxya33eJyd82y3W+qykJdIjUuLniqNVY6Vp43WlqHvmzAWAmf7fTvvcuHq4pIQAs40WG5TBpsoFXPCnCas881549wK5G6sNK0VSkNKSzs+62fMOTEvLYpYK8gqJindrjen7JMbzSiNdxaNUIrHGtAIwRr82Q6tDcMwPAGMSy3tvFCaIkIqhVILaRUcHyHyIo0d9eRkMgatDbC28JXGZFO6vd/H+8scI/bR3eU8RhWqzmyHgVKFsp5nj+BzYXVRaY0yBusdAUFKWR1rK9RStfPpUZiqtTkupFYEwfnWZAZgSqGs7YV8T4D6vhil1hjiY/usrG5Aq80aUWzXRV7FLBRPkdqL/RkvL8/orebD/Ynb48Tb24fvWmwfY61/i+23xfh+n2fi3+Q6/m/xOflfzaYUhh6D5b1YJgEh4ZMnItw4YFcxjOtEXuhKYaiVW2tJo+b0Ecw+Y0pPergihluMzQylUL3Hd4l994H7+2dQDPfWoW/BRIOPmugrrgibSThMW0rSRMnU8RNSZ6T/yHDM1KyZ68hNH1Fo7PWJfi4YC+OlonysGD2z23/gdHNOLYoYA9YWMBOHbuJ80oh4jl4I671gcRZCRqmKnw4ca1voEAQ2mSqafBswZkZLJH3ruZdEKIVX6pquW0gKPo1byhixSci3lmgTfkhc3EO9b9HlKu843Brqcb/u/hPhrPDaPLAYz0zP1ScYF0cWUF9/4kAlXUIOD3DYoBaPtTdImFG6sJuP6CkiqbJcnrEcFtIUW3xNa7QWdpf3rdjgpg2vuzmjVGLeCSor7I0nxUvEHjD2iI9wvtmwGS75iRuZa2DRZ5z/RCNfbDjuLa+/Uli9ZbGWLPcsl454rpkOHSpvQVX8pw/sQyZ8VsB+jh06tpsD23pkiFBnjQqWbujY7D3Tj2YGcZxNDo0hiyPf9ejPFwafCKnCDz6jhoQdRjo5UrVldhuKK+i8IPUr4vMX4AKCpp6u0TWhZWHpT+AEtfP4DyckVqou1GVClYIfNc61sUJ8KGsbrUc97LHdjLaJ82NjMOXkMOMWXQoSMnoH/eEIRjAXBd0/o7PwpQG5e0MpBqUsRp8wpqCLoWqLEvCTQZ08kjV2EOQepLTmx7DxGDGUJLhLh1UVXSNzpyjOMtSADxaDxjFjzANGBXYP55j4QJQZfGu3VBlC6lHnWwge7jOuDpTqmOexxaJKwew8LjR3d+0SZrKoa0Pfd8zHng+xo8QbfBrRqZByz6wTuZuY1YIzFoPl7uWMvR8xB2H8UcKFc7x5jizvMIOh8xp3OrL4kXtf6I4aakSHwlAqsz4ydgn10SHdM3L3itk7rC14Orh7Q2ciTkdKMViBAMzdEVsUQzKo8RMlJpai6c4cdm2xfkhjcyX3iY95QY89m6PhXfyEyh63PONqOKLJGH1B3NxQD8B7jboYKT6w7F6ghmvkVFCfIt7m1oonF6g/OkOUoDmx6cFtDOGiJy6XiAkMOaMuNtROM0tmfN6jh46NnGFjBomUi4hZMiVrPg0Di70DI2AFOQTSbPm4i+yDoIGjCJ3dMPSW/ZCxXjdeX9pg7C1qc4IvNoQzhzHCfHFHMD3id/RDJBiFjoYYB0wsqFL4aDO1BGp2EBVZJyKFmww13WPTwnmKbV7VBUzcohjBz3TnlRQzKRbGLNgy0tXEtC2gAyE7cAVTK4mF5bkQ5oKJrZEPs1D1NXL0YCxYT375JZiMUwuSewbf42plen6Hzx02n5FmQ+oi+fVHxHSokDC7zMRL/JxwtxPnO08KhWlYuMh7RqO52Rg+vzOYeYTllnxVOIuK1/OIjXs2fuaL5cDD+w3BFc73ibBMnGzlqA/8h63jwo58Vn/FxQvY9Vf88fOBa1/46u7Iv/vlR+ydbe7jM40czqkZssxs84SVVooz31ts1XwhET52xA4OrxNBTthF2N0r7qxl6QV84mJTYIBPXcddidi5chYXRmXJWrNsE/vjHQrDqT15MLWyzalF7lVm+HBNCAkDmKXnaISC0MkHJhMZXUtjyCLoJAx3QtKOonWb70fAQH31Edm0+WeMe4xesKYt7MbaTB/ctrnv47at4DPcKFAyIGpANqndq4OlG89ZZmFJE85F9FJQqXDcC6XziO1QD5VRgTZCeJeoxiAY3BxJG0vuDfYBisuITezvPiJ9pr743UzOP6wo9b3x6h+ScfGbg+rf9Xu+P1n4x7R993m+J8D92t/+uu/9q3//uxwH+fWDyyNw2DuLs81l1Hm/coeaa8WskZ5U6xqdkbVRrAk6j+weFM2poBoXyjrXXEvWYOS7XN/QebyzBG9JpU32lW7g7bo22Dnn0KY13A1Dj7O2/eNdiyTFiNCg0EtcVgGFNQqkGgGoFNLh0MDnzmFV28tSK943FpXRaxRndVwo3YQ06xxaeIo0lXUy/CRQqQbFM6sLqVYhoLBKkRDSspBSBKVx1q9sn0QpubGDutYK2HUN9lxPp+Yu001ECt6TpdD7Bq1uU+MFUYpeFCnOiNSVbeXxPjw5SKo1LUqwHm/nA9aaJjpKc0yVWjmcpnaMjME4t66MZso8NYGsNhD5PC+UKk+unVoLMUVyLasgkJ8cSa1RTtZWM99ObA0FMLaxeXIp1LpO8FdRxTiHcx4RIZXamjqsxXhwj3lAEQ4PD0+CZs25HetakZSoOVFSe6/RKJbgEaWQ6gGP974dfxFKLsTY4pNmjW5677HGYgN4tYNSmY9HxpzbcTcao9waW9RrFNXjnGPYDGjVXIBxmum7fo1TgllB5CJgpEUYclmvlbWlUqqskVZp/w4h59SO8XquNbB2be6xtWkEvhehNI0tJbRzSq3RM+/ciulvTDEfQmvWs/67ONv37s3tuKzQ+NW9VFcumsgKGpfvhCnhUdBp14JaOXCPZQDqMQ4osoqI9pFDT+cDuTZguqBapLaW7y1a1KfzGu+bK0x+nXWnjWlNZSIUGousrpG+R4j+43WrhAbAX8Wmp/vp99//byyYtP27xvHWz1WkDT5kFXadtez6wMUQeH02MIQHnL3n5jQ2EPxvuo7X/feb22971j0+O/+68o9/Epj+y29KW7TtOKVMVgWtKl40RQsHC8plrIk4k8mt5ImuKAhCSVAXTfcqIsVQTgPp4ojRFSuFJVi0KfTdkXh/RkQYvYFR0FmjswUX0Rn8CGppzJRiFFIMoiJ0Ef+g22DWToy+sY78OGOSRrxlPAd3U9FaCOGBUW+pVVOVYaMjuMzUR8K4QYniGAw2xRZ/wIJTKKnocWI0tCq0KhhXUEUoWeGGVnyS7jJTVxAKVyyIryzKcjwN+CL4WpCjhWctRrOtljJpMjAzok87tGqRbnYzdIWtmzj6c5bScXELs7gWF7opzHshbhRuH2E+hzmg+luMX7A6M2SFjiDJEp91xKkJLeCAJiyEYUSdHGmyVNGEPKNN4ug0YbL4yRBzAHfCORh8Tzgf4GLDD3XHVLac9Bnmp5ayN2QP9V0le0vuB5Q6kb0hO0OcDVZ7TDDY+Ss220T3TJPvf0jnKvvtxPk8471CdwZnPCEYtmea/jzTicF6ixoNFYekgH494iXh5kJ6sUeZBc2M3ywkDbMdgIqSBanXxP0zQGMSMB0atEQyUZ8axsBXWGaUrtROITWiMtgIdhGkQLlX4Cxoj8pbVDdhVcUsjtSDKA9jj1oOKFXQ1eDygioVEwU9zFit6GrhNt1TskLHKxQTSiVUMaAdVIOZDSpaRDTOQFWN/ShKY4JgUagEdghYU3GHiegMymuGpFDetQIdOaGZMAgm7vHVgSpko9GmRUuNDOhhi+o9+mZC5UDWjphmzBIxUtFnHVYXVMmMvUIi6KPCzDCKJi+g8z3dWLCLkLQhmYmkJ1RXMbk1Xi6binpI2JSozwpVPKQL0DeN32osXToSbWbWApNFSUL7grOa2WdSOMHdgIhD/J6kmlhH6UjTJ7StGAd5aotVLlYWk7HF0C8OWRZK1WR6sgWtDFiH1BOiC9jCUiu6Vrqx8nC34LVhMIatym0xrd+Rz6fGg5wFVVPjUw4bqn0AI8hNaWKj1Whzhr44R1JEHkacq3gH1niy2oEYnIzorSc7IY6OeOExzuOTx8wHKom0LehTc6CcNhbkhJJMVpCPhmIMh24mmLawPGWF1x3GWbohIt405/hJ0emI6hKqD6toqIhDwodLtO/o9AO+E7QzSHK47EAK1+YBSQayx09tviCqcCDjKrha6HOGTQddQEeHUoLyCdUJqmQUhSKCl4zTC/c9uOrxuUf7ESUFXTPjkCDZBj0PG5TOKP1AylfoolHVUC42GO7R9QGz7XDrIv2ycZgccKmnHIXiTuRwR9FXeFNxbqbUgRpP6OnIZpg56Zk5jPT6nClYjkrzg08Rf0rIdM/tVuMiDPfCQRucFi7KzHQ8x/qECx4dE9RIIXNtXwORz6Ybws7wbNjy/PUlb8JCfWv4j+MNZrRErRjPMhwDBcVsKudqwq94GE4tgbJVC+rgmaRyej6jjMIfFJu3lr/YGkYDuno2pqVBrgfPeK/wSdgVhcuaYjXRgVtGrChm66kYdNH4opDQInKOIxaFE0tXFMtigUxQD9yLIVdDL4KKDUPRTcBqkqhJoVRFXKW8PIAViJZaPMZFrK4YqRRTWvpjWh9Pq9rjK3iBYzKItMi6Mkv7ujhcFzimiWNcGmojR1TOHM4sarBoa8n3hrxiSdxdQhxgNC5VkoHcCebBUlWlmoIbj9BB6X+3JvN7t+99n63zayvFSv3aWLnVX//howTff92/7c/8Y9n+OlFq/crv9Xt+38nId9/f/t9bQ3Ce4B0XZ7unSZJCPcVaymP/+aoLeOcIvoGzNc0F4u3jBL2BnRWNRdV4RgbnDZ9dPmuOEVgdShprDJ8ejpzmmXGaVgHIYJ0hGN9eK3QMuwGzvoZz7qlKfjyemKeJ4/HEOE3NUeIcXT88OaYKtVXZS5sMO+cYhoG+82ga2PhRbNJGo01z1WhtmuuDJkyFEJ4iQw34LcTS4m6szhlFc2rM09Q4RMh3QlGtTPNMThmlFD6EJoBYS983Jg8iSMmodSJtjW1nhGoMqSZqVUqFkiLUBpu2XYdxDmPN02cxSiPrCoL3gZib02mZJmJMLDHx/uaO/X7PbrfjYrdvzpicuH2453Q8sCxLYzVJO/jG2hUgrtCqiQVKwfE0tkk3TbQ6TRNTjGz6fhUmLYUmPjURzbXIZ04461hSYl4W7m5u1/0pT9HMJnRZjGk30dM8ri43xTxNeGPpvWc3DC3utZ6D1jmss+A8xjpcCDx//YoQOpxtfCVjmvDaANo04e6RSWUMaV443Fzz4Ve/bBlzY/GhZ55HjscDHz58RCuF7zp2Z2dYY5FamiCZc2uny4muC2sEcD2vREixxQXb4W2cML2ysULnGluKJgrW0kQhbW0TxtZ92sRTi7OuCWu6iWJSazuHeIxhF/LKxXLO4/tV6JTveE5qfbArrTHWPkXack7k2loyx+lEWeHvhrZyap1DFDjb9qUUeXqOxJieHIzj6bufBcgpUXJqr68UaEUqhWmemZeZOC9PkTqtNWaN+eacGux4XlZhs373XtcIqXF2BZEn6pOzSj2JoY/3wSrtveVV0GpMqfK0X/LT+22fqQl034v58Z3Dzq5u0CF4LncbXl/umZbIu+s7ru9uOU4zd6eJacnNObU6NX/z2fbb4n5/2wWcv+3237uQ9fdp39vv91wNmYsu8+ZNIRpH8Y6zs5mTFQ4G+uuebcxsc+brHwCHM8zNnvTTt/T3ie17YaMVa1Cbt10g7gv5WWqxo9se9W7Hj/jEYhU33jLvZ2TawN0lXXfDUCNnMfINX5DPI+rza6iXEBMy3tEdOqqrxLNId9NRLcS9wJtnqC6gvjC8/gVInrjz18y8RvqIev4tX37lkKj5GOD5EnGmUvbCdKFI2TC/89jhBSXD4eYW9dkRbEYOwg9HzZDbYld+ISxG8+m2NffVaonLObz8QKfhy7dfkP7oHWJG9M+EWSpKe66G17ytDxyqsCwv8e6aXp/4com8946jadfJstVoJ3weR+7nwJwbY9EsC8HA659+RrmBJVZ+8dnEF29HtveZr7xfF20sc3yN1AmRhNbb9txUkb6/BYRaDfN8gQy34I7I3Rkv/MIzG+mjZne5YXex5XP/v+PTTx+4+eGBOr2mvjunXm+Y/vjPeNnNXKrKv/93z/npF54//qHhztywf/Oa8zcvSVd/ib/y+KsOOT+weE3UlvP/KOhnPfqLgbMPJzgZZLTU5w6rBSeF+f3E/dmem1fPeH78CB7KxrItR9SiYfZ0X16gpaKXiE9CDpVpV7AfD6RJMS6B23PBHyMXb0fsRUCKUE6FaeshatydpvoOdabxL4XOGtQMXEP+3CJdh9gL7NcLeE35ssMdb1DZUdIr+u0bVFCU/iXJ3aKmjPtGcf+qoovi/GuP3t5RfSS6zH1nqGLoJoedLboUNPdMi6Emh5+22C/AOug+VbJMbQJ3YanSYbLh/FAY+yuKtrjxHcvzc6TXdPUtR1XIGTZvOzgDGRTzVnE+O0JqcGu/RLTSnF5/RtIzkhbsf47kXpFDYeKG/j7jiyX/q3+Bj9eQH/i5ynSHSDcmQp542G6Z+57LolD5AqRnGf4Mmwwmajg8YKQVF+QxUKqlisUMHfQdqrMY9w5JFskOL0eOYcvJDzyXT9RTJI2Fv3TPqGbCmBMv3mfMAiSFe7WnhGdkd0U8/mdGN3IMkZf/6wZvM26XCOUlWi8oeyD++EuscXRVIaKR4GAX2L/2WBWweUvffYbXAa8ct+Mdqhf8M8V4/MjWDbzcveAtP+PwduTm30fsMGL9jPMn8pg5zYoP945tfMDZDrv9DGtPyJjJ7zL5xQixor5WuKBZdsKnH2ResMUfDfIV3H7+AF44jz3yfkFUQF6+xgwZWyP+/kD1bSF2PgIXG5TXGMnc7c6o3nGlMs7tUQaSvWVXDkDinTdc5gv6atD1Bp32SN0wseNSGTqVyfKehzNNCoZOBrwMmKqp8zWn+pxMhw/3lJxYyszX9S26gBGh05U+b3G1R1nFtp9xPvI2VzQeXQ3dMlKVI4vm9jRi0ktM3uFP/z/UBCopkp5RxaKqJ24/p3ZvyeEDf7l0nH+rufhkkFdbTDlhypFyVvngEx+N8Or9DzHmiPL3dH6kfjuTv028+T/8hHD/wPDxE+Olphs1w73mlAPpbCZennjTw1R7ljzwx/U9y3Xh/htQN0JOV8T6Gvnxn4J9QNWRi7f/I+9PgZ9Nlf/xn/8Z/WFE/Spy9/J/ZlMmXpy+Zr7o2JwHnr0Y2C/CnVv4+fbA2//7xDcPR/59/YT6CEVl4nZB+TN2pfL6dCTewUk7Pmx3dIcLfJ7p+IZ7/WMcnlcS+RhumPGk9JqfyhsccOCKt5tfsVTQp9f8RL1HlObn8hp19YZ+mPhyo7nlirF2HBeD+mCQssDlN4STZxM1XyyRn9eeozIMfWJJV9iq+EK+4cZ7ZqNbgdPSU4tjVBrvR4yNAMRNpOpK99CjosNleKkfKK8hDprrb8Ovr2UKIJqybFFuRpnY1u7TOVo8ry9+xSdbeUDR3XfIRUYGYXn/DDsc0OHEfF9ReY8uGzoe2KXIkAX4Mbf7G+4396h3P0KMgMkM6hpUG8Pf3//NEb7fyyn1u0We1VHyDzBu/dtC0P8xbL+tmfB73/F7/Z7H7TcdZH/TBOM3Y3pGa4K3BGfpXANj69Xd8uu/p00UW/So/SatWzTokTdWqM01ZRxdCHRdR+86kIrUNimMNXOaMnfjiFKPgPP6FA8UpdpEPATO9meY1dGTpoj3gWGzwXV+hZu3mFLNFZ0iJZXWXlcLqeQ1KqiQNVJXakVUU4u01mBAWYW2CuPWfHDROO9XQaNFrNQa1TK6OcDUyq1qA9QWw3t0ksSSQFq8RyvdXEQxrnGvJgiktX4+p0JODbyhtEZbC6pBmR8/n/WeXPIaH2qxwioCujVFoNbmOiyIafEp06JFp2nEOdcEgTm2CTmw6XtiTo3NU0qLZIa+NTgA4zyy6XpkFRBqqVhjwX/nEBERlhjxzoGxT2KAWp1HKWdSyYzjREwtgmWfBB+FMgbjGhsK+I47JKxxy4L3DqVabBL1KCJafNcDrbxvs+0f9VEm75+YVd661RGjVsZU4TiOoBe6YcCFQEoZVKQUoc5zc46tLrhSMiVl6hqvdN4TQke1ju78nPHhQK6tTXCaRuaYkEeHmbGtyU7ptRGxoxvM9y67tWHS6JaNrnUV3JrDTqvmKnwUTBvsvLb2O+OoWkgpryDv5hh7Oi+sARFyFVKekdREPW0b+LWJrQ67isSConyP6fZ9B5Gs7+3xniKwtjW21hqtaNypnFv7iQh1jWXK6sATqVjdxDPnQ3M2KYXrelSM5JxIKVKR5mKTAujVgVefhGcpDcbefn51I6JQrkNnwZhMSksTc1UTTAX1FOF7vJ+lnL+7B66uUKUMxhhKzauwVZ5ulI/3qIogurX5rY0MtH/7KNx/9w+rM1CqMM6RlAoPc1xjwcJms2UYOp6fb7l9GBlj4rQklpif2HtPx+E7Q+nf+Az47rb++7mJ/7bf/9+7aPU3benK8RAV6QTJGVQNhOTxsjBnQbKQX2bmWJFZkF7hp0QvI/VDwUcIWnH70qMimKMipnPCQ+YqjSAzp7nyIAkupZ2bUcHDBX1W7NWRYzvzyYBzR0K0DG+fYRlZJHMUjxLFADxXiulZZl4Cy/UG3MMa5fO4MpBMIg4JOQpqUtgbywENFpTA0Vo8wnBUTGlAqrCPR0b9gBF4oWZ42JO6yv3lHbfhgtOisdMBmVlXYoWULAWowzXdqcdVz1Ep0p2hGotyIDEikvlaXzN0mStRfKy3VPFMonlz/pFxcuRocS5iZ2kOG4GaNtQSuPQPHJ9tGZ3m4/VIOnXUrHj2dsS5HeWZo7/+yEk8xVhevijc32fGMeHcPc09VOhjJBlD0grvT2RlKGqL/mLhav+cH3V7tu/fIWcG9o6Hzzz9LvD5lPnzX54xWMPZ8xnDzHYRzsXwL36SODOFcq+4fvYaHQq74Sv6mnGhx+573E2k6wbysMOoO2LpWcYNLtLiQbFy1z1g5z39wzN8/CVDmTH1yPbqCpylOo3k51it8KIILoGpSNCYk0F0c+XM257CCX16oH+bERu4e/2KvR+BQjmzmCmiSkB1e+x+wnjBjQHpnyHaUfcKvblr0b+ypTw/oEzBqYpSDnEeGRTZb9C1ws0E23UsuLkjS0BpS3qmUKeBOnuin3AfKywFEzOcNThvzntYTpicUG5mNju01ZhhxJwCRkG9cKTrBEkYt+ekVCl1pu5ALyd0BgbbHL1OWF5ofGcaNPjbI7nvELthFM803qPjjNZvOG0yUQtbt2EImU2X0RjqwbAkg5KPSAYVN+xJEAWVKzlvsdUw1Iw6LZixoOYAtkOb5rKsdwPZa7LXjEPGRMHMGfVugv0Jta9I1ahQoKss6gzQhBgpS6VKR+kCe84o5gx0IWwfUJsVUL/bYpRDMRF3ewYu2GIZrq4xYtHGQ5dJvZC2AZ9nYp04mMKmOFzZ4fOWtHQk4ymiuT6+o/eO86Enhg+UtHD/daKcAicbuR1G4mczc58ZP4vUUXAzbK8rSwnEJdE9PGDPBeUylRs4LKgq6CtNx9CiTS8SYvcYV7mYHiiDYxwU5XXGp4yuhdLRIpw2Mj+7I3NGiQNWaeZ+bsiBpUOHBWUi+k6xnRbwBXelseoWKZo8bljMA1oS3a3C7WasdZh4xlL3FPGENBJ1pKiKMR1Vt+Yzs2TUKNTieNgIJY2YnDmbWvOm6RR7vcecFswS6WpC5QlKweYNKKGIxuiBXg94a0leyGJJVbMxC/NyYJ4n/MeOJSTitlDrWiJFxcWPTDpy0h1nuqfzCYaFh7PcnN3VsQuVjp4X1VGDJ9pK8TNd9Sh2oDr0eM5kNeMzYac/MRnPnd9y2D2w1ZXzU+Civ2AvCyoeCJNjjo7Ja1y5wgG9v+ZjWPBK2EVP1O/JFxrzZcVVR+0Dp58URvMXzDgOFxv8dMvpfSD+pebf/YnF9oXzVHn16oqryzP+mWz585/CFA9w/4Zfvi2kyfJ+vmTfP9BJ4fk4cqiXRD2gzSt2V+DKiHy6J6eBHHp4pTh+TPQxslEVp/ZULQT5xDUdVTmwEemFqB3v3+5ZznuqCMP1J+KuLX6c3Qf6XDE1c1MLYgudEvqUQB2p1vFJvaCvB4JJXD+H4eMJPxmy82hdeOxqtss6hk070AvZVT7kC/RxQcX2XsctLFYhtx0bKoGClgeOOrHYii+eIi15cLc4cpKWNNl5XKgok4nnB1Qs6JNH7zvMUaHnmXzhOCyFaYm4+Y4YLaQrajmxE8tWKQ7PE+FUCcffPU76vUSp34zR/WYkrEUCHr/21w+S/77bf0+D3j+U4PYY1fhdkY2/8qWWU0EBzhn6EOhDazh7msgJPIZiWhwH9OoEWO06rbltdV8AbTK3btY6utARnEdqoRTVJvq5MsXIcZ6BBq6WUppbSht22w3eO7wPXFxeYawGBUd9xLtAv9mgrXlyMiFCVpkqrcnOmOlp3zw6cdoE8tc+zboPBJSgTBNJlNJUpbEhNPcPPDUJwiocqVWIW4WuXArLEtvEF2HJTeUW63DGPrk7lPCIESKtjKtSWlQKYW35al9vbBrTxC/rWrSpliYgrI61KmC1xTTFDLWKZEq3z1YR4ioAaaWZ5uVJlHp0A+VSEAV9Z+iCZ78/43A6Edc4JKo1kSGCNc0VJaVxrqoIUtIqVjRRxPCdrFqlNlFqnlcOj/o1zpe2tu3Xx4jYGtMspTTwfcmtTdBYjG2CTnB+dcptn5riHuNqSqAz7fg407LWj0Bz5x15aZyuWmMT/4RVoFAU0xoElVbo1RWUY2qQ+NzEzRAC+4tVHBu2yKkBs1NOLCk3GLezuNChlGqQfdOEVqsNoevWNr3mcJOVP1RKQmjfq9tFhtYK7xw+BPq+J6dEzg14rrRuwp/iu3a51RmE1lAcogWtCpISknI7fjRx0qjGvlIiT9GznAuo5hp6bPz7dbbSdzcOrTVagVEKFQKKNsmsqrT7jDRWnKyi1qOgo9aIIVpD1e0aLgZVaxscrS/0WPkrwhrlbCy6ahvTSpXWfMkqVOrVNVe1ebrRCbKKs4IWQ8yP1yfkVQQXkRbj1frpPlGkrsLYas5bP3MTwJpb7/H+IaoJejxGAL93j31sHhSBnDLjErmd41P74j44gnF0psUXuzmi9dz2ZW7i9pPA9XjPerwJ/47td8W5//pn++9+9v51BSh/0+v897SpTjNHzbJoCOBSi+S60mD7VIW8LqRFqEphAKcyXo/IUXCiccpwPDfISWNHTa0Bt2h2c0IkUURxoqI6mvK0AHNHIHGhjoxAURAtaDvj85bhZofX9xhTiMZQFThR7IsibWtrXzpsqJsHtBS6h4wSAzZDD+pQ0FHQD47RtlifKTBrTRVFSBCngKbggVMaUVrYhIhZLpkVHP09pzIwYQjLAvGxmReKqNboFE64wxaTeyYy+QiyNqZSFEUKR0Y2VtEpjbVH0nJOxnPfW8rkUdnS2wWJTdQvVlNKQGqHNw+ojSNbw903R3IO6Gr47C6hX3lqP2Dff1zbWmG3S4xzA7waU9qilAgmV/IafNY6oehQyrL57JbLqwte9q/p5yOnnWY8C8wv4DIbNqeA3FncRWXTZyRCpwxOO14/z+gj1NEQ8wWz+cjYf2Jgg3YW1QXcacDUM5w9b/EusRyjYVM8ti4olTi5Gb/sUXGLxxKAoDJuuwFtETSzeLRReCNYc4e4QjEayRbEosWRvUVMReVrumNi2faMuz2lVJROVFvQeW7uPd9hd0eMMpglIHWLmEDdaEw3NQEqe/I2oUmYZCjKIUqDS1RjIRfUMSEaMIUajkiCqoVlp1HTBqmVTMLeF9Qo6JKQLavjpUMxolRBQiSLoESRO4WZV3bo4JGbu8ZGDIFUZ6ok8lbTPyyYKIh37ZhqoQQNxqJzxd4nqrUUH4jFobJBL0L/cEvWlcUbOtNhTCKYQtaayTiSMlCPlLrBFM9QKjlbaq4tXlhB5YpZMnoc0WOEGFCDoILA6EnKkbxhsSO+FLSuyLRAl5BUkXjeom4UsvZIzegaKdFSbKD6ns3iKMpRtMF2grIacR78DiULlJGT3dKVnl3uqZcjKiZ0rtSuUHeQzx39XSHVzElHtBREemxVpMVQV6H2GD/Ri0OFLaiPLHFmvEmY6RVFJ1K4I+wdBSHuhTQJJYI/GBblqbHi5wXtenAgZaQuGYxCzgxmGUBr1KWhyAZLwdWJCU2xQt4VhltBZ0FMQfcO8Qa2C2UCsCTdE0OmAsZvMG5pnydrfIqoVNA7j2amioF5S/a0opUHQYWlzRniGVk7imh8mUkykrRgzEVzYJeFmit1TkhRLNuCqTO6ZHzSVJ9xttK7bRPSVSFgKFREEjYDFooG7Xu8DATlSG6kFk0R6DxMTKQqqOQom8KyyZBXgRWw+UhUwqws++qwPlM3QgwjC54qjt5oQuroU8+tg+wqyRbUOFD1ltLtULMn9T3LWWQ/XpNw3LNh7G/oEvjFcSZXqHSHne4YZ08pIBaqbNBMBH1sBTliGIrlo56og7B9XnDv9uSgmZ5n4uGawpajfcHZXMinzPxN5d9/IVxU+DcJNruBLYoLBtIzwzhd47+9ZvpkeZgCc92g7AlTM8M882AzojyidoTtgk0LhQXqWRNnN8J0V6EmOltxeodIxfsPHPNrMh5lI1ihYLgbe1RvcEQ2y0x5AQrN9p0n6EQhc6MEMYJV4CPUfiLawoN6xjBNOInkXUEddLvX2Daub0udCpMNUlsMFJ+pRjiVHjMV3NJc15OG6gw6t7G9VYIlAZUMrIASiggxrcxmrag7BeucQw0janGo2WHOe5xOGBJLsCxKsSjo04mSd6i8ocodnsKgDIdOoSeFL/zO7e8V3/trf+E/8CD07ws0/4fe/hCsjj/E5/pN8fCvA8T/VVj845+a60GrxpXx3rLfDE/cp/qo16yT+cffVR8je3wn9jxOmh4jT1ZbphSZc+Rss2U7DCtEe40M1cqyTE+sp8bXaU6S3geGrmPTD2y32+ZiUk1MYHXm1NxA5tY2kSKEQNf1xLjGekql5szxeOTm5hPKqjV2Z0mxiQBVSnNlSJuAa6MJPrAdtlzsL3A+NLFEKlILknMTkFbguNbuKfpjddv3OabVKSWIVhRKg0w7xzYMWN2y2jFlRCpKw+l4bG6p2vaD0oqcC963mFnf9U8wZL/CoB+5Vt+JQN/FlOK8UEuL7ylR2K5DWYuoNqFvk+EOrdcpdm4tajFFxulEXBrc+4c/+CEpFZYY+XR9zfZsS9cHjqfTE3NHUm1tilIxxpNWEPntzTXn2zN2mw0xJ8ZlYVqWJ6cJCN75JghUeXJ/IWD7Ducb5HueZqZpZJqauGidxYYWrQghMPQ9+/MLZHWpSSk42/hPx7t7HkHU4zwjNEfc82cvWGLk7uGBu9sbhu2Oqxcv6bbb1U3XwNlVKjmXJ/FOo4g5P10/+/0eYxof6XQ6rmJRQuW0tvVFQgjEGLm7u2OOCxrojOP87Iywikw+hNVFV5mmE6VkhEJeWoTIGsNwdoa1DqU019efmKeJlBasC6CaOOlDQGu9Rs4aT8t63wQwa7HWcLy/p+RM8N3qOjRP7rnH+0eDp0OM8SkeF4ae4NzaUPgoGn7XSvcYOX2M4KJojYuPsbnarpl2/2guP2Uc1ILUSszp6eYUU6KW3MTp1dFYfgOmvszzk2sPZZqIrDW1ZEqM5BSJMTItM/OyPMHeBcXd4bCK7FBK5El1QqNU2ydKqcZLW+ZVIG7fk/Pj+6i/VnDw6BZEHp1kqwhHc/up9usBtbqr1GOqF4VglSIYRWctwWoGZwgKTvPCt3cPfHt7YMnNudUaEVcxfH31v+2T6K9jTv22r/0+kcB/bKLU3ye+9y+C51OofOoE88JABD0KP7lW3JaOjwSefXlPXgzp4Hi+zERXOXXC4Uxxfrzk2d0zfvGTX5IPA7w/5/L5G0qGOHnm+YKNWK4Egn7D0cKNc4x24rzCZ1HzxnjmvhJ3LZqnlwEVz6C7JtSFsxi57jqKXllpCkrZEJfnQGZL5HN14p2f0VvHxasdH7+5Yx5hWTrUF7dsaubVO/gUArMX4mZh81GQGBj1FT4cUdtIehX58luFGeFmKTxwidDR4SDcU8hMk2V4fsLYSj0EzDygi2C4wSI4B/tLw69S4ZAc6viaLhwwZgGgmyMOiz//kuujpsTI5+or5lqZneb28x73sUdFSD+44eqj4A6Gb+qW7dUFvnPE+ze83CU6q/n6zSvk+Q0MJ+RTR9xGii901x0KhRjF8lmHvY2YgzDPr1BqR7/t+Lf/t4mrsGVInk//j6+4ef0l46vn/Ev3FwwHj54Dv/zRLf7DFeH9BeZUmP/IsPxIs1z/nFdqyyu9xz5c8K2546275V9uBtzZBXp/yZCuQCxVFCr/Z+67E/fDwp8cdlSfWfoFZzf0umOrBvhwhh4C6ipw3H3CTpnuXpCDA63QTmNfD63qPCTmWtBSsaVSv72g3k/k24+UnxQkWtTHjrI8Q5kR3X3L+Dojs8G889gfnFDdHsxP2c5HrCoYL9xvdpA14aFA/YSKgr7vmX/cIOD+m0S9cIjpqekKFb9C6ROmXyg3A4vruPlyQ3AbvGS2p4+YN+foEWy9Jb6CvCnkcMSYHhFNioXhLRjpSD/8El1NYzhuCj4+YOKMPhQ+vnaMG0uqnpfvCt1BMUcPV+9RzKg/v2yMHQ/5aqFevIS+h+mWnVF4IMfMUk/EvBDvK6iCtYqXl3um5YxT6Xizq3QhEtSCv75Bz3tU6hD3gZwCkjyDLkTvSUqT/vyXmMtzzNkOf3dNvNKknUF+oajDBrYef/YVhQsyFxTR6IcH9OEBsYXjhXDaa87nf46K72D5BvPOwWBgZ1B9j6oKkzWD/SNk+0DZfeLbeMV5UbzIlU+m4uKJYXogRSAIbBXd8AV5jEx3D/yyH8idR206flAsnRpwese8fUesnrhc0LtfUasnpSv2sUfUQjJ3nOtLsjM8eGHz4ReghDhsqEtCzQl7mFguPSSF/STMZwVxC0Y/kK3H6D2d+pLzw9dUP3P3SthdV+ypwF3k9LxDlMPfd8jZC/AG7UbmtzOxFqZLQXRCsNR8xQUjhkSUhYOtUBXnB4sPDqsEU04sWZGMMJ2PbDL4qtElELsOvCd0WzoDlcrXKXF2OOEqjFefszWBDZWL8S119pRiOGpL2d5R+sK8/SFSb4CJ2p1zNQnDJIz3Du1vwM488CU6GVRe416nAzWe+Hh2R+0HlPFc/vKWTKUY8GcXpFMkLZnDzlL1AcWR4VNlCgOT6zh/e41JBlUd6qogN1Du4NOfzOhaMQuEX265uzhy8+yI/OoctgX2Cf/uCLc7uDlnc/EVqhfoHeL/OenjxPzmmv/vP49czPf84PoT374fGcc90/SCqy+u6Sw4Mfy/5UsuRfPPaqK8K0zPZu7/+MD8NYRj4uwwMYSXvNsH/sNLT/cXkWfHxE/GyPT5ic55Ljhjer3Hnx3Y73+J/RiIHxX3f5n5f/7Zn/Imn3izEdSVYTsbPnvjed8JUXpYnvOKr+mUwqhX/OWLe6atYM4DP/qzayqJr34iyM9+jBo13r9hDhMyCPqlwX3t2MjAlz94xS/KgekY2f1l5Ign2oycfYLDOa4OXA47tq/fUvsTv0oK+foZRI18/hblXmKKx729ZjEzVVX63DfDR624cSLp1xjd83n4FXdLZslCpxRjCIjRfLZEbqzjYBxzvUJyRtVM1x1I6RxVA38UfsX7GLgpBvYP6PMzdN9Tjx9xo8XOLbWyTXtC7jjWX7RFCuvYTbA4mIxmmjao3Qm1meHTD6E+Mm7/0984TvqDgs7hr7qp/pC/9/vbf42CFPzdBt5/SEfUb/v7b5scfPfH9ocGg24Qa+/dk1jRRBjIqyL1KAjJr/+Sp9+tHwWpp9d9bL5ST1ypx7auJcY2EV6/dnZ2/uS009BEJmfZbbdNZAod2/3+yVUzn46UlBrLpZanz7vdtbYwoxNatwmloIjLQpWKMraJYTRgtDUWUYWSC1mkVcVrjfehNX9pSy4FUmtNkLo2jaUZrQ0itfFwJK6mBcEZ08Doa+MZCpy1dC58L3bTxCOkRbUUjw6rFS6eK96313edf4reNUD1d5PdZkYTUl4/r9ZYb5qIUBswXFH//9z9SbMtWWKdiX279eZ0t31NtJkZQCYIkCxWiTI1I5VkJtNAQ431BzWtYc3KZKYiIYJkUQATyC4y4vW3O527716D7ee+F5GRHTJRIOgWz+K9e8/168d9ux/fy9f6FqkU3DjMrh2DbhrCLCoaYwihMnamcWAYRkKIKC1rDAp4c3Nbm/keBYsaGTsd6ZRzBZqnOlluWoUPHucmDodjjWnNHCcAPcfFakQKrLVzo2K1656ikEKr98Jbv3jkbvng0dZiG1ufkFHjYvcP9xX2LSsTSWoqzNQ2j0JGZKKkBDGy3W+rKy3XCJibRo6HA6brKhuIQk5z056S+FQ5TDGXytCiDlo3TdUxOAuzxpjapqcNMXhKKsTJIXJm0y/o2w4fPOPhyP54wIcqjqYYZjFMz39q3FLLKmhUHpt6PMe0VtjGorWcRSlJSHGGm9dz1oj54UIptZY7JbIT+ONIigGRCqqpY+wEB39c/3yM6olZz70yTpAySaca3fxQCJl/rvLl8uN1gXlbSpqdX1RB0vs5OlrK41gS5f36tNIVFF6Yx30d9Kcom5jFVSkEWWYo9ZzLMVByIjO3S87RPSnl4/uIaf4Ta2OJJKNnB151Ps3OrEe2lHgU4uvPx/o9Tq6x92JeeX95ff+XckLInzxfJ8Hqg2sp1CdXVFfUFASjF6ybBqUNn1xd8MWzJ7gQuTkMvLzbMvpAiLE6s0QF1n/72vxdy2/6DPou19RvWud/qZ/N/9jLMWW0h8ssGO4NsUmUPnO/NQSV6NQRQaErgj5L7lOLLZFVCThpCCFyrx9QDwrhE5gD3ilszKxjQF1vkV6zPyoeQj+fdwkhwRXBndSYEGmKRsUNhxQIaiJ2Hryg5A7DCh+gqITW9XOsKRNr3nDQkiwK9wSiyAgf2N0ccVODipqnwrKPBZFGXN7ThYA04HtBajS6aNYJmmgpx8LwyrHvO4wtrG5HtBjIxUGUlPMOgWEz7dHH6lLMPjAoR5GKLpxz6GEwkrEYUt5hUiYWX0VfDVxExoPFeU0TtoRsSUpwe/6EddiyTonp/gLVHFDtxNkt5KgZjaQh0Zp7rBZ4YDoWUIHlR/ccpMWFnuIVWW6hHQhdQHmFRnKuBsSzgnmq+cFtT0RVN0kb2N3umN4pjLrm3ETW8h3q1SXbfsCtD+ifNlh5wK6O+L3BZ8GUCou9R24S4yYzmi0u7mjzkZ9sGlbdyFpsWfYdYheQO4f+3ooz3dCLCUtGFEOTDWF5gVQNyAaxuETIFqEs1t9SULiFxoiBHBb4eEHjqDDuYGn8bo66W8IY8MZz+CTTHQpCtqTrp4zlgBJHGgriKBEHiTpK5JsW2YHo3pLXgqxByUJzsyUVQ7ALtFhQtCB0PexfQZ6IxnO0FiEjy9yS+lyv2crgnkq8Tigz0E0CUwqlKeQnBoIkxIZojmSfkHcLuJZILWgPhrxZk7VFioAKW1RJKCORRFCasXlKEVtMDCz2Eakb4hoCB5QyCK8oOuE2HWVhYbHEloByjmQ9bkxEX/CTYiprYgYVXlJ6TW4abqZLUiNIKrLevcOdaYYGOhK5OxJ6x05qTFCYJCswee/IR8f0JGDtHiEiadNSbIDi0WtB8ZryIGCxoRhFUiOHEuibwCJoJBY1BvqU0Ot3lCmQpxXieiIaiFbS2BY5OBiO+LN6n4JTdCkCDYNqacQBWQQpKpIvRKkIwVDu7olIXNuxfneE3qNIxOUapxyIQOKIzYJlUmyBwECSnvFsgUHT5AYXAr4MuHhgvVqhRaQxR0Z5DiqhRCKII1ErjhdLkvGI7JFhRIQrRGyR0x2jAXRL41tyDkSTKU/A5OqCGi8KS+MrjsFKVHekCQFTLMVYkhBM6hax70hFc1hPNEPBhIwkIIfqMA9qIg2CIgWqbRDTRE6BqKGIDiLE4S0TLUhD17aYskMRsPGIClsKkWADE7UNNLdH5GRQO4Nt3uGdq+29WhMRjKrgcqQtoAArtoSkCFEieodQjpwCKXVov0aLjv1VQuSIyIlR7VF6gYgLgnpb2y9Lw8MyYEtglRLj2SU6WXTW+O6h8r38SH/fUkyh6My7ZwXhE+vXgZ/Kkd61rO5WvDJvWV4mLs4CdxoMgjZnmhtHFgPjpwPDbk13X/A3EXE9wXEgv3uDmSIyW7Jvefbkht51xIcFL773DoSg+WoB4yv2UfCu9PyJCETlCNYjnl/id4F48wZ/D7mTiPMDX76+pxwSSwr//C7Tjw3dasP/6b/7Mx6s4/VZ4sf/LnDYj9ybe6ZloKhMmzJ3ydFmyUXecX5saEbDdmfZjbc0JD55obhNDwgluYyF1AimYLh5fU44Og4Zvv56xGdBEwSXciKqBG1BXwqWfkIMme0EZh+wTvLksGKfAl5m2Jk5/VLnt5dJoEttpx7pSEKjFgPRTUQh2K+vOT4M+BQoNuJMBgmxXOObA15Fys7Utj4z0a49YjiQguPtSjPsDWK0MGpIBqxguawOLUphEQIhB8ZiwVjiqpC6zP7VJSodaPNAtooYW8p+iVZ7hPrd7pN+b1HqdxFd/hhPRL/tyPp2Bfd/yctv43j8ptf8ruv+Qxlb34SXvwfVGz2zdoymaSxKVQGhcGrXKlRTk4DZ3SLm2MiH2ybmdZ62qd7MVKFEKYXJ9al+Lu8jUVobrDGs15v5Zws51ImrMoblaoWxFmMs7XJZY2MpMc0w5OB9ja/Nromm7ZBS4UWFRtfY3RxhQmBsM+sIdXKplaJkgciJKGocUEpJoytcXAo5Q4xPk8g6GXXB05imrifVr52ia1lpjFRI09TY1wylPrlQYo6UzFw5L9CmMniqm+KDieq8D60xFCGqa0NKTlPOD/d9SgltBHI+BieOk1SSUuYoVM6UWEMGyti633J5BD37EDgcjwzHgRgTy9WyNpkJwfawZ9UtqqOJU7ytzC6z2ZUVY439UTCzqyXGiI+B0Tm0MTRNU22iSqFnF4oU76H0OeX5vc0ClmAWWCSqqTXimQqR1rrC6IVWxBDwzjO5UKN9WiO0wSAoQqCshRlunah8ppJidXqJ6ljJuTK9pnGs7ggBqkhEShXCr9Vsjy5kUWhsdSuVXBjGaXa7CcwMFq+RuNokF3UFtAsqtysLwXEcOOz3jM7VlkeloKS57c6gtZ2F1SqsfeP0zfXDorpZCyUrtKn7ljQ39MEsUFTRruSCyDUKmmIiniKIYhZqSpljdTy6ouIcxVVKIZR8PH9FqYyorCvzig/O+yLEo2vqND6lOnGQxHunUgERQo0K5vQoFkuqnFWognmWEjFH7HLhESKuZi6XVro2johU41AxUlKcXY3l0YX0KIzN+6LC1Os4DSGipUCp9yJxmX/XSYQ6vZfTteMUN/3Oa3D5Jnev7lPx7Zd8qO2//zqFmDNh/p2TqLHEhTWc9S2fX50TU2b9sCemxPY4cpwc7oM48R9z+U0C1elrv8vP/rrlvwY31a9bjkbQZtg48HtFloXYZvaNxORAJwIlGWSWWAmvpGYtCqsc0aMmicRBHxGTrHBjNZCdQCRocyItBqJW+Emzzz1KJmw9G0hoRixNcjRJ04UOZyJReaL2lFBb6hw9oXhEyeicUUpgpKdXB4LqiQgOpMpi8oW9Hwl+Q1c0KyUIsQr+kzrSJDBpbpptLaJYlkNGIUhREraSYa2xFpZbB8JXp2Ip5OUKiaAXieIMRRQinqH1FBp0WuIbmIzkmHqa6LDJkXEIMshCXkZiro6IcpiqQ1gatt2ajZxoQ8QMK8Rmj9aO5dvCg5H4RtMmSSscumRA4UZZ2SHPD6jjNbglqWSEqPcxySRksUgMl81AOleYVvHPaHFFMDSZvcyM24R/pbiQT1iII+QjfviI48oxLj2bn61QFwfyZiDctHgh8AkuXEYqQVxKDvqInCaWIfHVqgCBLo1Ic0BHB+OI2TynFQ0Ei9QHVJDIoCl6g1QapCJf9ojUIp1BHyQRSbANOu5JKHxaIdKI9gkbBDoIhBIUqxExUJpEPBeIrwW0mnLeE9U9JUUaJ5B3EhE0KhvUTiFcRsV7yvmSbBQ5CdRhpIiEb1qUNBSjiV2HGQIwEtuAswWFQrqR2EGRGpk0cSPJuqBywAaPLoLUKFiK2vAcNMUVylgQWwub+olivMKdbyiNRsotKgyoHJDRzg+fDE6tEOmA8Y52iiAbopGkJiIni0iCYh1urYnLBiMVJm4hTGRbmJIHnwmuw5WGXBQ9GYwm2ZZ7t0AuJpSZ6PwO5zq8NCAyyTq8iRxKz0JLVIKoNGV7JLuB9BRSqLGvuFyQVKYQkJ2AkCg+QVyADCBGnJ5ojUJZhSgtXRD03hPOdkQ0pJ5ynshKEqSm0ZrCSEkOXwZkjsgg0ESyMgxKsUBQhCIyN0QnyxRbxPCGYlpi29EeJ0yJmIXisMogA0pEyAGTM0sKeyFBJBADcQmmLGjDggFHSEdyfEDaTzHCocQdXtUxIrsGHW5JUuFXy8qbdRnhMrI0yCDh8IA/08hksMeGnDRJC1hqzP2BTGRaFNbRoUk13mQdkoAumiwUQRWi2CGCoRRJ1IlVAhsK4BGx3rd7ATF6sgD8guLrPVFMUGSp92h+R8oCpMIogSQjRMCEAeEHCpFpozmaliAKXeNRhx7lVRWtJiBpSispUhJVIQtHRqJQaD0QZI1fCzNRmlpuJB4WaN+jRcd206OiR0aPczsa1hi1oFJiBQXDsS/YMdL5yG61wKYGksTJIzQF3UbUZKEkkgoczgOLm8jiLuHahPGCMhn2i0yzdKhOsEuCdpSoQdEcj8TlxHgRSV9J3MFyOC5JXxhKCSB3JG+QSaOiYCUPiCI4hiXvLo7YoeH83RnROvbKcGtbPsITk0P6ibK+IMnI5Pe4dwYXCk5GXrzVxEHRt5pPH0AmSdtbfvTRx6Rl4X4d4X8ZeSUfeLU+YjaCrCIi3rP3ELLiLB6rIBcMDxiGWsTHs1vFqI8UIVhGKEh00tzvekKoDND4zqGQNKLQiIi1hdxA0yjWNpBC4lUSbEKmSYrlQ4s3R4qK6MkwTLXtvTSCThoaJCE7SulJSpEbSQ6OXASH/pLxIIjSITpPkBOSQswbsp7I0iFzwdiAtQ5tMllNkD33CwleI4KBZJHHXF20C4kHkiy0FHwpTCJjjCa1qZY4sGSZJxoi3gZK7Eh+gbGvkTL/LmSJ3z++991rmZ8j/xHvJ/8p2f5/V8HsdxWlfl/B6tstiL/5tXNUppzEI7C2wssbY6oQNTORcikkISlFzj6H9xPLU3xPSYUUpVYuz+sHaouXqCwpObuNrGkQApQUKCFo5rgVpVa8b1Zrztcb+tWGTI1/5RTxoUbfhKiTfNs0rC8v0bZBWoPfPuAOR4bdvrot6s6gaTusaWiahtWyB+bJc0pIrTFNg5/jPNM0YayFnMkx4MfxcTJ9SiVKKasgJOVj7CnlyBRGrLYYbWh1wwniXXIhxPfOrWbZYRpL2zQkXwHZbhwRSleGDsAHLV3TOJJiJKVI27aPbi9tDFJV+PdjVKhUW3AuVVhSuopeIQXcOJFTpm8ajDGPokCYW86kVjNsusx/r4KNG6cKpwaW6zVd36G0ZjwcH3/P3faB6GukqrMWZfSjYGasQc3OlRQi0Xtutg/EWe0/W20ex2zTVIEQQM5CSUrp/Tg8tdiZKuh54Dgc2Q8HpuGIbRrarsdayzRNjOOIMZU51rQdpusqUL9tMFIzThP745Hdfk/JCZkTOQakAInEucqU0m2Hadu6/rZjseiwjaXrOtqmBWocrWmax3NjGEe897hxhFQjnqSIKGWOllqim6ggc1Gjjc6x3++ZxgmrFGeLZb1BLZlQEtZ0WNuwWCzm6GDETx5tNUrX6GIKscZJicRQx1ERHzgUZY3fMQuXcm53HA57drsHYvBobVisNyhj8DHODDJR2Vaz8KyNfoyLill0yjmTYsTMDYambTHW1FZMcWrsmxlNc7S2WikrYSykWBlhc2wvzedpyWUWwytbxgc/x/hqMUCIEaVELUAQotaRQ3V0pYwPAef9HNN8LyKFOVLpnHsU3nzKuBCZQiCEgDEaY83cYpjJKdWY7gexwTSLmydX2UnAO/35dmz69JpvcLhO5qlvXavfX8tPslytnE8zK64An19fcbla8PHZGddd5fJthwP/5u9+yav7LV/fbefjVsXeOW39fnt+46fFb15+M5/w77fm/9I/6/+Q+F7zrzZcvgucvYu8alsmXd0m6lqxuYP1O3gpvkda7GB1W59KapBK0LxrEbmyjPynFnlMmJvIYhyJSuGsBQHLlNiEwM+vbS3jGOrvXqee63DG3xVBVgPWPPDUTXgpubUG/5FHOIm9MYyrCeMzy/vC5TPJYOGlLHz+6hnCB47lhpUQjBi+zj1dFykm4o3jEyuI0vKaFdx0NMGx4Q0PP/iUphQ+efGKL68Ko21AXpEPb1E+0rqGaTI0JvHZ8yPH9pLgGuIvNL7ZEvTEZCdYgCyK9q5lso5UNGL3EcvyGsuEpmVswJvMaEfa0KJih3DXXPIGWUZ+XpY8Fy1NZ/n6hx3m9S1iOOBWE2vd0KeO9auPkWSiDLwwL/F+Rc6GtrvjOlhaJH97fY8eDdqreo5df0F3fcV//6OfMzUNITU8+fdn5IUkLgU354HmxZr27YJeHpnsgqFv+Ppfv+R7SD6N0Kg3/ALJ11lxtj+Q2yfk5oonb19y8fQ550+f0t79GKU7aJaMG0f3StF/rcltpjdLFs0a/rcWdIKceEmDTJkmFNqvnmA4oOwtL//ZczoFFylASuStIr5V5Id35OWKfH3NfvGGPkQupszwVBNlIqXA5RuLdRIdBeMikTpPXkwcy+eofaB98478VJBFS3Zr9Fe3iDiAPJC/dwFygThs4DxCHhC7O8qmr19Pl7TvfolvJu4+hWXcoEZJfhuYvgdGKq7uW9zliDOCfVywGBI6aopYoO5ukCGglcZPhigD6fwNOnyCEA2p32H3K1CC/ccHzt61mGBxmxYxDJTgCGWkazS5EXx1PnH+40x7aEiff0E7vEOFI+TC7mpJbBRn9w/kRUexkij3PCiFF4p1sCg3ouJEox1CrUiq58YKTIzolLC5EG8CcYzEjwJBLciyZ4VB+wPaT5jbBWE1EReegCW/DuRtIv9Zg9YNqlialx1sJlg75BsDkyOnidvvJ7qjoj1qXj5ZsRngbCwcLgtTBOfA3hriUuI3hYV9Xe+/fGG1S/iFYtxoEKbG3KzmovmIPBrcXtEet5TUkFLPff+XNM6wPpxxd/YaK5Ys8xN2K4HSlk53bKSjaIlvDJ9et0Sv2G4VXKxoimUxtrw1/wkOA82rSIznFBxF3DK0PUV2aLGm2f6ErCbCmWTPBnUnWf5NYHh+R1km5NLSThp1TIh3R9xnH8NigelaXKlJgZAMT9/dY1TBf7wkPjhKVKA35DSShMfZidXbCUOiPBWk2JKDpOwDzXUhW8v98JR9/CmhPCBUYq0WNN5gXyRuP25wiwbjV3TpEoOm2JcImdA5sdkH4nRGQhPPX3Jcrsiq4+n9ks4WpBXcrJZYp7EBluWAftIiew03R+6kZjCCbn0EP0GIWN8zRoP3mvYGgpI4LbhvRw5iwOeR778IoM/IZkUxmqLvSfqBd3JgvT9jOSy5ufqaboT+KAiTRbhEiYmvn3Uspi2r6YGHhQMRESmj//33ebs88vpix6dvn9KcaeQTwd+Vr2h2azZ3Vxjzl7wbLnmx/wzV/CcOWvCgWy5CwvzSoX48cfc8cfk88tmnif/55z/A6wa1kphf7IidZXq+RnQ3ZAIpJp795ZZmaNBcoD6NDJvA7YVjE18zHSNvbwQfv4z0QtCsLLf999h3R25XP+b/+b3/lo/FmuXO0hYBccK7W/7HreXH9zf825//JShYZPhslLyeLENocG7BMr+llYpV+xwb3uBF4K0xTI3ApMzTvePNRSGKhvXtU3yzI5BwU8fqo4FWJhYvJbtPHNMqMxr4TC+xXvPyJxUt0ij4rJX8YrfiwWnAoT5bQpeJb35GE1t01ghRUJMDmTn+aU9+uYKpQf4ood8esQ+JC/eMMb/GiR2hW3CxrGyst68uaDggzcjNDyUlnFNiB/klT+8U64PiZStwXSA1mbV5Sn/fYvaS2/Y1LvbEuAAMl+WWtbjnbdvWdE2BxTjQrKBZCv7zV/433if9QfG9RzFmjg79sZbviqH9Y9ys/j7i0O/y2u96zd/HMfXbnlZ/e/n2xEgIgT0xcpTEWo2Wcm6Ke++Iyiehg18f2cgziLmutzqocimIlGu8amYq1fVllKxuG2SNg50sAifXRciRyU9zTEuipH2cVHvv8KHGU2IuaGtRjUWlGeht7SzuCJib0IyxGNtUZ8UMyFZa19iataAUylhM09bJXqqtX602Mw9LELyv8Z/ZWYKoMTZRQCEx0iCRkGtU6dGtlQtK6keHVEmZ5AMeyGk+dkoh9RwtLOBcbQ6LKdaIkhDYpq0iE4IQAwiJKtU1lOfXiPm4lXJyfdRj4ryDMrtM5gn5yRGSU6o8JWFQM328zMc050zbto9w536xqFDyGHFzSyClYK2lbzq0qiD8PAeYpK5NaqcYZzGZZC3LnJi8I4SIjwmlVY2FnSKJQiByoRRPTIkp+jlSlTDGUqRAmAqw1kZX9tLMmbLWYlTlGzW2mQHYs6uoUEW4lDFKzeJCwRgLpbYBxmkGBwpJp2s7nrKG1dlmFsMqDnD+D2MtAmor3YltlBIpBnIMtc53mOqYKlUUPIHmm7ap0b8QIGW0kKz6BVbp6jwUBSHk3DZZeWI5BXb7KjLknEkh1XyrEKiUZ9FnZnnN0cmTqFQjt+nxycGjA4+CkjUimFNtjUuxNttJBNPkiHM8zhqDmYWtk5ioZmHrJEqlGCp4f2zQs0BpjUXNY6GkjDYGZQzaGGIJpDK77XKCnFGzUFOvOe9h3qfz8XStOAHESynzNSGRgq/Q+FnAVKU69dpSHkWplBJKSWKsk8mUa6RVEBE5I1J1c8JJHP1Akv8VUUk8vvbDr3/XdfdDQap8cBzei1LffGjxDTerYHa8VGlKzA7Pd/sD+3HiZnvgatGxbCzrvuVf/+gLfIzc7498+eaG2/2Rl/c7YqrXCzm3IorH7fvdHU8fbuN3Lb+vg+p3Xec/9eXJ60Bx8GAsPpyRU0GGiLnfE33hYECJPX2EdnfG1g5Em0i2tjwWmyhtJr/rEREQkeOlRfiMGjzJWgCkgieH+nqxzOyOBicCt3pHWmnIgTIVdlqTRD2r8rsGWQBRuO4hC43HMI2FGApaFO6zpeJRV2QdCLYgugkxSUoylLBgHLdIEdiIA3s94oVi7y5pbg5I4HU8R4ojNgmmO89llJA026iRqjqc7g+WYgVZJryZ6HKDLZJp4aqInSRFFDaupeSGrbC47owkR6x3WLOks4rLtea4LeQY2XBLu3REKZHbNWV1QNqRy5cKPVWH9RuWjDoi5MQVr9lJxdFmwpOAuB/RY6AUOMhIUJLP7DkrscQuGx6+SOSypsmWxVctrWnwouVLLOf2wLKd2Dxs4OAgBdyf7AjmjqwFzZQpIjNQ+Lm7gGy5ior09YHVmac/G/HC4R7gODW8ebbgUmquAPELSZoye+tZCkFaaqarHikCFE0plvM7T1GFYiAtj5SkEeIper8ja8FBaozsUDpjVpFIRukRwh0yLbAxob2nmSI6FvIRZLRgBWVZSOsV3jqcljQ3EyI3pPMfMCzfIKWm7TqUtDBG8rFFag9BwF4hUSQrccs1mIQqI01+RVh2FCz9/RErEjJn8irjsBQMsbVEMZBzmOcfa4RU6LIj62P9TBErRHhASoewltJqcjEQV5TgEFOhfdmRDOQ2kMuI6D2UiAyZIM7IRbE4TOQNTH3AuNfVDaMsyTvMsMcECWmNPkaKK8TFU9qhoEsmLQpiWSH4OVtkApEneqeRvqDi3H627FBrRdxIlgFMlJiiCZ3Fd4WsC6LtkKavD2g3Aqkjeu+JfSQ0Dtu0CLlAhCXa3TN2grGxdK93KB1IrWIVGxqTKaogyye0bk8zPBDPFTZ6lg+B8PwShUYmRVm9QGNZ7ntUJ6FESszobWYSjqAS0qxqtTyv6fInSCUIK8FKP0GJgubARj4haoNrILpFjegqDX6NFonFckTkI2o8IB8iuu0JTnKUB8RwU5uEFxrrNEIp6CTLxTUlToz3A0odICn0dY/eQJYNcntVY2zrCdUobPHkIRPcDjmNGCkQiwWHXs8ojJYK+FCQLcIP6ByQfkAuPFFphnKFQSF0Iq09OkmYMjrfsNg6UjDkxTMaCTpLim5Q2WOnTPswIJe1ydKQmLQnyITRBTllqq0pYd7uyHHALzK+BEqCvC8EoyhG1Kj1EBEhshp3qKxQQvAuO3rf06QFqDsGqXHzvVaSPUIazocBbWFSktJIyIUUAzfdLct0pPUDoXEEpsrmYuYGWwVqg1vs8UxIY/BSsbMdWXlM6rHZIM4eWPtIeit4txZ0RrI8Sq7eXOOzYS8yqO+R2sSad/jpgtXo6PLE4cLTrCKXq8giRlxM/JSIv7gjhgVxWnIxvMNYhbIH/NeC2GTCReas6fBGcr8YWN8m9C5w9TCyGs9IrWN5vscMl9ho6YTlVrQ00fHp3vCXf33kb73g2b7ne1cT3aVEfvGEf3m0fM91/Ms/8xy/FLx9t+ff/eKnjMEiYseFWCLELUYEWnlPYYFICVV2LFJNHh2M5nzaUFAczYEiYh3vdk8awdlC/jgQuwYRwTwEVPaYWFjEC9LyntI6XraSaZSIZCnLXItODoLzyWLaBm0Uqjvy4AshwvM3gfsQOaJJLzyb0dDmhvsVNeIbG7xXPMSAUYVsPKNNFAP6tt4jkDOlaI42484j00OHTZp+gtROHIICWnzZkIutn81nN0zeIbxBeV8xN4C3Bhszap+/69boG8sfjSn1D3HP+I91I/oPHQ/8TeynD5ffxVn1638WfvU5eHmEhje2RvROUaRTvWSNndUfTbxvo5P8yqqq2CTm2nNRg0H5FEMpBSFLjd+UGgXKpf67IMiiQpgrM2pmRlAqtNeP1eEkK9tGaYXB4LyrzoQ5HqZ0dQu1TYui1ruLeV1CGaR+DzzPVD5LzHPESNWGLyVlXY+1OOcIAKmgTW2sU6K6onKKpBjfc3Ye95hAClUjQHNFfJp5RRToGoOUCqmq2ySFuj+FkHWuObeYnY53jNUZFkKobCClKg9pdl2chLVSAFnZMQgxN5lVIezDeFH0oTok5qhSmr8XQgVIi1ms0o/C2HsHhTb60fnStO1jlC2khJ6dcI1taG1DYw1t29ZGkZKR2tQWQXgU8HLO9CnOwqF7PP5IWQUspeu+yrPzRICPgTC7prIQyKSROaG1RBlNK2uMVAo5g/Sr2GqNYXLhUagrBWKskbyo3gtVagZ0y6ouVUCkfM/sUrqyzLQxKKlxroLVT1GwR+EyVYh59J4YIiF4ove4caiihig0ukZAs0wYY+Z45uyuEZKu7dBKVrFw5gJJWcd1prpyJhc4NVnmlNFxboNUJ9H0m6Bx8vtr80kIrdcNxQnSXYUVTVJlfl1GiCre+uBxIdTY7bx/T2PrG9efWfDMc2Og1AGv6s1eaCyNrc6qEvPsfqrH3adaQxtjquJgKTBDlkWV596LYKWchvujgCMQFa6eKgQ9Ooc1BoSkmaPCuRQs78WgKEUVvJUixYSYBT0R8/uo6Hy+nYoCft219nRenhxjJyfWh/vo23//xmX0W4LV6fd8F0OxzMLUSUCSAg6jY1cm3pYdd13P+aLn+0+u+IvPntLZyiFqreHrm3sGHzjOIuN3bc034td/gDj0DxHT+22x9X8Ky9kdbJVkrxUhL5FRYErG7kaKKIxKYjjSp56lW+FSYMrVIQiALpQmwU09CXIDobeY7DFhIrWarAopw3ICJOSlYDcVHIEgEqJrkCEhxsKgVBV2s4CDpMhCaSIrBUFKJizTVO36isyQBQVFoSNLQbEBtZwouYfJwrTCsccIT6smjitBKD1juuRs/4ZSJPecs0kJESPjzrFSglI0N9HQLh1CFoZBodeFQiKZCevWlGwR1iC9RiZBIdOmFpE7dkISm5akBCUnjOxopGbTBLz0BAIrHkgdZNOgDi2lvSebicVtjyISdAEsQWUm5SninlFaDlqSlplmDOhQwAi8UqA1ny/OWecFxjbo70fynUU/FNRbhba1ZOEhN1h9R2N22IcN3lXWYnk+EKUj5Yg6XpCFZxCJX6bnPAuWp05wcw+dCpx1Ay91YJoScii8/dRiUVx4hXmbiTYydYmVlOQVuHOFSZ5cahxnfRxIVhCkxNuRUJakvEYf34CSONWRujWNSpg+Vk5hTMgwYMMalQoiK0yYUFMh7yM0hmygrBKpb6tbTwUWIQI9bnWJb+4xUqCsRDQtDAUhE1I78FCcRtDAQhNWC6TY16a37IjtRxANzX5A2YQwIBYZmSSiaGKjSJTa5FwmhDirn+P5SJYTSWl8MdjikXiU6Ant/Fm4bcjlgEwJs+3Il4GiA4KB3CaQBekMIbSUZOgm8H0hloi5v6eoNVkaAgkd9shSgAtECIhckN2KZgqoHBmXHmk0UlOFGO8gJ5ogEaFALCATqjeUrkV0LZ3wLEokFU2ylqIhNBmrO5Q0pLJH96l+Th1DbRMkErqMVAaVDaI84FvBsBZs3kRYQV4UmliQJpFtQuQOm46o6U+56gABAABJREFU6Dmseuw+0mwdW3GNli1Gao79DWZoaI8LrBGkMhHjiDhESpMJi0DRG4xINGpHM3yfpDNej2yyQsoR1ECnLaNWjDoTJovMEhElaWqR1qEah/YTOE88jEh/TUmGKWfMuCVayaTW9HsQJhP6gG2WlKIJ9xHd7ChCU87XqKVBeIs8rpCLhGglciUxd/WebCJg977ecxpwpqMojXEaSW0NlqUgUkLGiHWOcpGJxjLmBfVBnidrSJ6KdCgj6pjJ3uLtBVK4es9r1qi8BzdhdwdiP5ClRIuOIgJBJ4ZW0+iMDokSC3I/IkaIbYvPjpwKNliikiQryXTEqYArtN4jAuhS2MmAikt0bom9x4mEl4mkEkXVaHETBEVplMwUHeZCoshB3GGjp50C5EQiEIxHFV2xFEqDaUjygFcBmwJBSw5tS+MnVLLY2JDXdzT3guXe8svnAl8yZigs3q4oNnFcRDJXSP3AorvB+2t6f6SbRrY2ILvMupe0UvKOyE2O5HYAFDjLIj7QFYHVgeF2RVoU0nmgMZpRw/bS0b0KdLvA8jDR7y4pV9B/vMV3PTIs0KJHSElTLBu/5G/fOcwoOE4Fkw+s2ha7OOPjdsFHyvLPu8KuSP5a3PBXd69o5BLtO5bR4Jyqx5o9UT8nl0yX7yAIktQcu5a1WyGBQ/OanASGwpmZuPUWLwX+eUC5BWLU6IeR4kNl8dKTzD2+idxohTIFXSB1IPc1rrpMDaprUY3Ero5svSRPhfXLwsFkkJHyLmJkgzWaQ5cxKGQxBC9JGVQuWOPxtpC0ot0aZAkIEUgYpnUg2wQ3GpskbSzsUm1lT6LGZQUSKTN0D3gMOWoa7+vDbyHwjSFGSXG/XZT6g+J7/1gOpn/o5R9SlPp93FJ/CIPqQ1FKzJNbYySLpqM1FmtMdRacHEDwWDM548VhFqV+U8ZDzLNEMQsjHy5SihqtgepYMhZr7TciW9YYrNZYox/B0FqbR8Dzol/M7ydzHMfqwtCa7N08GU10iwVGG4zWNMZUKLQxOOcfo4Zd19VImpsw89MD0zTf2K85JWIIhHEieoeUAms0m826Mo+A+5sb0hxrirE6h6bREfxU950SSFmFKKMNi766iJSUSFUhz6f3eJrIplhjdCUXjuOxAsf1e4FF6+axqr6UUkHteW75mkUtMzfunZbTv6dpqvsbZuXlg4nnB8evaVustVhraiwq1GhT03XVESTl3ARYLypa69kJJ3HBE1PGNjVaZ4zBti0hJuIcE5Oqfrjt7++YhgE3udm1NreaqZk5JmSNT3qH945hHDmxh1ysjh2pFGfrNVrX/ZpiIoU4Ny/Kxwn+cDiSBRQpaZbL2XEHOadHZ1UIcR6n6nEyLqWs8H1ZXT7nl2doXcfVqXUvpSpQKjXHoigE5xgPe3JMxBBn4HmFbzdNg3euxleNqcKNEBil0TNTq0LmfXXKhYAPjjILyXU/VWZSTpVd5iY3O1/q8dCnBkYpH2OgOVdxqZQKEj+1FXbdnHWfRcTTOf4otc7NkO/ubjmMI4MPbDZr+q5j1bUVID+fxyfRM6XqliolY05C6+xmmpniyALKtihjwJjKNpsdg9UQVGBG6ksh0LOolHNmcoGUapzVz+JfjInJTYRYv0cutG1L27aYuY3uw3M7xlg/t6hi+TCODNPEME7EVF2GMUYGNxJmEPxpnwohiB/E9z5cTl8/nR8fcrRO59vp/990Sv2qKPWd19h6cB6PTxXD378ml/dOOZELXdex7Hs+ujrnz55fcdZ3rFvLv/2bv+XLt7f85xdv2A0jMRWQCqsV8tS4xm8X0X7f5bt+7u+zrn/s+40/JL73L+1fMJYbjuKemyefcjE0XB8kiJ9xWxbcljUf84LMmiAu2PAlD6y5EZe0zSsQ85grgthGYhc4f/sxKg4Ibrn7QiIU6AjibYP2S3Tc8PDRL2lGzepmRSs7SjkSuWHftqTcUHyP/PSGpCMuFz55BcKXCkcXz4nUtp1PeENDRmH5RekoBJbigcMXnxG9Iv9ypG2P0HncxtOvPqKUjulgEQ8FHBQnOGck6yN3/Ru+bxTEBb/cfor43i9pxcjzF4Vb1eDnR2HnkyOrhtcXn/Hx4BB54Ev9CqW+j8JixpcgCjlbvLuC4jBMXIl3HG1tIX3mHK+ewrER2LcdQpQ6qf4ioL/WiEEwXTvE8hJJQ/N39zjXkbKm7Xec56csmh79F/eUJ59iNuf8hXG82N6z3R349KuMHiRE2J151FlCN4YnP//f8+NPf8aLp6/42D9h+nlHvmv4i/9+yf14z91h4O7uEy4Pno0PfPXfLPn49sCzhz0vfrjjzMBGCV5vJNY0dLKhCR1295x2/5TPNy/QfYBFpjxPyNygQocJDaXXpJUiUlC5xcQe+/Ud+5Xg7krx7OYW85AQD/D6X/yITi05iy2s96gpo3dAGMh9Sz47Q2pDKHeM+Us2w3PQAt85+vtCshF/5uiOnzCRuNM7ztmiC8jSosznyOKR6RXleEOeJPm4Jk2KJAzJ9JTuBWSPGKGsukq48Y50ZZAWGhkQX60o2sLnDSE6UkkkajRR+kw+RPADJUhwZ+Srs+qGP4zoq4miMmEPfhHIJiGEo7nR6KxRTzpuzJEgYMM5anuGiIKy+gpzPyCmQpBn6CGDaHCf/JBJfQnijk2eEKpD0tBNlkMbGU3ikBKrUdNHQ9ctGKTF06DKhtjeUtSexhfMbkT4xPb6Y1adYGEFsIDxgRRG3jVXbM4Fi67w8EJSXg2kh5GvPx84K45lifyse4qQewwjHx2+YMtrtuIVeoKlX9PGNS/b57TiwELuEP2eVidaCXt3RY61pVjpaxCRLCdepB3rB8X1vcV8suDQHNiae565jqNYcq9WOG44R/OsLBiTYBCZQUWeDPdgG+JizZOFI5Ylh3DJJB5oUx3vns+IzUBYvuSciAua+7Gnf3lEHI/k4QEtYFo1PHy84fp/GUlNYvsnmY2/RBeBYEJZj84Nrb/ibpko0dHd7qC9p8iEmDEBUTUM3TnddoGcHGn4GtlLyA1ye8Hu0y2yjZwnUx8CTBl+6chXS3KrcUoyyoJIcHYvif2WLDJlv0JlSDpx+2TAF4NKhsuhZ0grYvTY6f+LuzyDruNCF0QshCJ53ax5kjRdgWPZMpUAAT56dYG/sqQVFHFPUJUn200HijwHscbyDMMdiB239sBaGYwwfJkvWHtYhkwn7smtI2rBbvgTRFTIECmH/8SuO2M0SzYPryEeIXrUTc/uWcvwtOVpWqNGgZwKVr8iuwPJDZRnDe/Ughu54KOjRb57B7dv4cknvBEdL7Llwe9YTzsuxh2HYFgcFZuDJD8bOcieu7zhp5s9T5PkiyD5f8eXnN20fO/lhn/3LyK9fMtT9yV/85MfIVeF5UcHrv/6Jbul5cWnFxx/YbnSB36wecPf/OeBo7jAr7/Hn+af0TqBOqxwt1vGhWf7SeDPbgJ5+ZSbz/4bGB2jEtwuNF/8+EvWcs/i2YE3P7mCYWSTfsGXX/xfuNos+L+ut6yfLtEbTbkS/HS/5T+/ueF/+A9/TfoPjrKrTsjwPcuqLfyFO/LjV4ZtbHGbJ5TxlpaBjxcTL19vEE7wJ/KBn/aZQ1uQZ4rFm89RY0+wB4LXlJywzQ1XfRU3f3G34smnA40N7H+SsOcCdMPt7adgJKqD1acB/3ZL3HvcuKScO4rN8Oacxu5Q2nG0BnvUqAzu6YHV0dO4zCA6XGiJoX7Wb9jTSs+75hotJ5oS+dh9xG75jn2753jzOVrtsfrAZR45CsOIZjEdObJmFAvadkekIWBh85bueEF7uOSt///9xvukP8gp9Y99g/jHXP5QIer3/fm/b9zvty/1mJya7IxWj5N3qSVWa6QUcxwtvX+qf/pT3gsXiPLoiPoQWv7hdj3+W3wwXZq/XyeiAi2rqFBmJlPNiYnZLaFqGxqlsqBm6LDINQIYUkFJMcO/C1Lqxxa54isLYXIV0pyMnV+TECEQfKiumcbW76f0frJYyuzomE+BWSTQUoJS1SEREy54phM/BxgnR0p1YlujegUhyqNbSRpNTszrrxPcXN43jymlME3zGAXKMT22jpVSUEJijKK19jEGOE0jOdf4Y8yViwW1xU8rBbPgcBJU2llsO00uT1/X1jzW2Esl5yhSFfyYBcmQE0IpzAy7PglnJ0dNhXZXhxVS4EshCkl1MdfxIopAIxCyNg+eHFO5FKQx2L5HNXZ218xw6VQn9UKUKg4gEErTnkRJIMv4CMrPBWLMRJEriyjM0bG5Ka0IgTAGNdug9OyIQlSxVGv9yEQ6CQKncyGlKiplWVk+u92+unMqWXsWyQQhVCEkxEjbNJSY8NNIiVX8CD6QS8ZoU+N083FTs4AhEExCYOeGy7axeO8fOUXO+1kwLo/HQmuNmtvq4hylFELS9V3dv1J+ECer4omMFWJZxZ0qYIxTbaA8RWsrG07MsTkej3vfLzBNQx/izAfjcZtO4+ok9Jy2u7ok1cyU0hjb1PieqMUEYi5PqM7J2fOU0uM1QCs5c+3kvE2zX7PkR2edEpVzJ2Zn2Ok4GKlqY11Ms4g7nwMzM60IiUsVwu9DmtslAz4llNIV/A/IqFDfIRR9eB18vOLOx+b059uC0+nvv+3z8vFc43St+5Y/dX4vPLrF6r6p/5YUWc+9QsGlSB6P+DeB+/2Bddfy9GyFbVq++Ogpn1yd8W53ZDuMvL7fc3cYCLE2aJ7Oi5NA9eF7+fuyHr8rzvf3eaj1T4k1+e3lVT6Qek/sCiXfMQnLvdGAZBCOJO44ZkVJmpxkjSqpiFFb6tF+L072vtAEOCweaH1kMQrKzYLUKcpCYYQjIPBFke8X+GQ4igWdfiAJz1gsbTzDIzmYjDwu6jkWCgfhYCnxq4b0ToOOiPMDxweYSkvWG4QfECVV0HHc0hjN+SeGhxzxUVDuVuTJIYujGxKuu6Rogcl7QkkI5VkXwzFUl6d4/hbdB4q33KZLFvmBlYqEruXYekJOlN3EgQFlMovNR/QHi/ESGc8xDESReGe26A1IW9ildW1jkol3STCNC7JXxGcD6qE6lXMs6BBRXhLZIGJA5MqlvJaOVgfiJwueO8G5SnRXFjceCfvC68WKZCLL1tMcGvL6SFwG5OaSqBtCNtyrv2F9cPRY1uEBpx3+csGbX1wRztfoM8VHt1sWeBqVuF5Eul0iF8lZWGL6SFxmrvNnFN+AMFyvI1Nrmc4SwTxHdQXdFV7pkT51bFJPyjvc0DP5JcvDEWU8NPfExYrQRaKa0KpHSklG0+UdNh9gUoSmCoKilWgTUETMdoTNNTplmtFw3w0obWlEh45Hss5MUtAbaFxh/ZCIi5acC3YEf/YOKQQ29Xj5DJTHqCNZJwgaufUUF8ldwl8kRFiigNwOqKlQkuXYXqMajSoFdedwyyVFaowHcfsKJo8IDfmsQywVOjbkPpFkYZIGobYIMlKe48tISZmurFHNDlESYdS0R02bM10I5H6kdJLiJZlrsBbdW0R/C2JA6xcstgMEQbxYokK9rx3NAtqBRmTsbcYIhZKGUTbIONEwsF9lmtFjoqSYSGpqu7AJjiwVI5K42CJLBmXRVhGd5ugFgz4i1hE0NPYMXTIyJy6ioqjq9BHjHmMCvTU06lNko4lWsy6KrAtOJTY3Btcv2C4tURxpkLRJIdU7QmnxseEqZKzsyOsz3rUerwSBhqAMphjOsuWoVhggFoHyW4QqBCXwyhCFYkqBNA7EkphS4ezdDmcFv9xYTHqD2kb068JueV7bjafCvUmoLtMFiVOXRA06DMTLAEXS3DQcF/u5bdmwfvDIHIlFkMw5xUnS3QgbQWw6BntGe/8OkQZECz776oQKiZREhbB3d9iSEU6Sd4awKJSUEDLglCQrsEzYoSBcJu0TY6/wVhGWRwxnyNKyug8kC+iI7LaIHCoWoF9gyxoxdBQlEC6gcuF8CSZNiFRoph7ZZLLKHDcOUxrMaMiLHmksRQuSibSTQSfBaG9R6oCUnsSSAwEhPKW5A9MgooHjmpACkwxM9hWNkhhZSA/Q5QNSjmzbifbe0ewmWAiaskJuz9EukpUmGE2hR6TKlHpbEoc0ESJ8GVtW6ZxV7LgbzwhGsVGwng4IBugCoZe4ZWK6FKAsJWnamPmo3LLKhhwWFL1mdx75ZXPHRh4xBLw8h90RcWwQ7gx5eUtXAhcv3rHKGg3cpwVSHrHqAPY1r5oFm4fIs/2WpmQaKzk7M7zhCjk19H/3C3brCF1hYwo7v+KgWmRYQ14iupHxekK4wm6/439c/pLVv7li3bZ89M8Mq8vAX3Q9i2d/TlKOcfK88wf+w5s7pp3jq6jJJtHKkeb+HZMIGASN73naBbwVvNyv8XoCG0FlktpRpMP7zKpzKJUYfOFhvh+0JuKPgjg1OL3G53tkzFyQKUlSxkR+cUtSHalr0XEgGQc60ZeMCI6cBDJdkrsAKmP2lwQ/1QSJ6MmpIETGmAmbEjZTY9Yaiiw86AdcjmSvKN2A7SY6E7h/25EVCF2wl4JpkJTREMKKVKrjmd2alAvBPPzW+6Q/Wnzvn+Lyx3JE/TGg5X+IK+pbvxEhan27UpLWGozStXlLiscK+ZNAk0udHBcpPhCl6qTncRLENydj3/5z+vqHrxWzkFSTchV8jaiJ7bqVc0m8qG6fyt2ZJ2Ml12otUfA+oqTAyNqWV5kyEqk1MmWSCITgHxv1avymOmpieP9U++RkOKlvJVdR6tQcOM/taruYFIiSKanunzB5opTknJicI+XEe96NmF0jEmSd0JVcxYxCbeITWbx3vJTq4iqzO6Xk6uBIqVbLaq0rE0cqQq58IO/8I+crpCoQ1e2Uj9msOLuE0Hp2ypTH6NrJaaSVhhLJpWC0eXR25DzHtqgfwhWIrDDp1ACYKaUe05MQATxuT0KQpaoROQRaCIqoT+0lc5yROj6kNnVsFjO3GdaoYhhrRS+lEEuZx4Wmserxvac5oneKZKXZGVJm8HcVfTIICVIhrX10c9XmwJP0Kh+dLycm0skBcRItS66Q8UIhzjD0FEN1+qga98w5MU2O/WHPol9UX2GIlBRm+HW1uBql6zGb+Voxxjn+V49PmF1SZW78O0XGvA+kXHlaYR7LSims1jW2VjKTc9UpZ82jkJFSmllahRjDfF7U43Y65i77Uy4OTmNeiDm+OJ+rpTpuOiCcIN+PLXa/GvE6XVOq40lgTi6xtn0UOlKKjwI4Kc2HpDy2VRYhHpv96jVoBqSnXCHms/irhCCJ6qzK+T1sXNsK7SeXOi5msVEU8WgUdCnhnMf5wDBNj9dBpcXMUONxXPyKMPR4LfxQsnn/9W8LLd/liPr29769/KbPgm87Vx+jxLMwBQWh6jk7ec9+nHh1t6O1luf7DX/27JLL5YKL/pzr48jdYcBqQy6Fw+jwj06gwuPDiQ+247u27e8jDv0xxKW/L7fqH2u5LwekDoi+UNweJyxZWrTQRBUQesLFBgKQEkEoiowovWdO7CLmz2cbBKsIt1dHFKAmCduOkg25VVA8SRS8TJTJkjCMSoE+kkXCYVlMPUVmkj2Qx8q0EL4wdRlaRVx3yNsCjadcHhlHQ0mWYHvafECUQhQtJRwxRnN2vWZ7SJS9RO0aivdAQPuRuFmCFDTTnlRAUVhmzTFLvMqU8zukkRAajmnDGXsakfBa8WAlUyjoh5GxH9FGs2ye0+8COmRK7uhJJDGx1XvapaX0ivvSoWRAyMyDFuSfdzAZ8id75CAQHpQvqJjRWaDkChHvkGmiUUueEjlrMoenDVeT5Azol5ZpN3J88PzsuKK/TvQmUMKC1EfS1YTqLDFtCM6wV3/F2bRiETpk3BIXGdcJfnErsauWtius7C0mOlSJrNuINRqEYhnnBlWdOffP8MkQimRtHMVKxj4Q5BNsoxEtHMsRScNSdVBGfOgZ3Rmr24zoHKwPhNUVqZkQMiNFD8qQraHhFpVijfOEJyRlKFZTUkF4jxgTZXGGjBk7Se6WEa0sDR0yHSkZnKitpyYkFlvYmrZO6o+B2N8hhEW6NVM+Q5YjSt6DGCEr5JjIJYLO5CYig6r3IyYjhkIOksmssDqRo6ccPbFvELQoX+AgKFOp8VKtEJ1EZYlQgYwgdoaCR2awqiWVWDENfkkxx+q4OhaapFEpY30gLCeSVYi9JckzUC2mTRSlQIzo9BY1CJgk41lHTqG6GHWLEhEjEnZKlEaTtcVJQ1v2qDIQbKHbS+xRMC0F0SiwGR0DORVckvWaYA1SWaSG4CQ+KHwTkMuIsJnG9MhS7wXWw0iiNtSWMKBUjQD18pqgIBJZTYlBRUYT0AfLUXRs2wbkHSppVJBgj5SkyHHJWZRgDLFrebATBYnODUlYDIplLmSxQJVIxGOSQ1EgS4Lq8QiGmBjjRCKQSuLs9oBbNLxbGRblnnaExWvJ8axFFIHynuNlQNuEsRLHkkJExD1pE5GTwdw3HNsHspTIoumHgIqZKCKpX8NUSNsIrcKrhoNaIx5uUcFTupHYJBAFKRKZmt4o7YhKNSKcBkOQufLDjGYUAlFEJZqNkTKlijZgjVcKZ3d4rWmiZb03IBJFJpIZkSZT6Wkd+tAiQkcWmjKNiBJZGYHIldVl9gtkFqQ24RdbjCuooEG0KKVBw6g7dNDYnNnpe4wJIDPFr5hKJueIVCNoQdKKclgSs8InCPoNttQHfiUJbHZIkXhnMjIFrAuUs4ARCj115OGBtDCkVpGTRYqGQuIhjcSUIEy8KYJSOjp6bmNDKzNrFTD5iFcTg00gIskUJlNg11EmiSXyNGwRviV4g5IdoTlw1+14Mm2RuSGmJXLcQxbkdE758wYzBTY3A6GTBFqOfoUVGqETotmyb55gRKYcDoi2wVhNZxt+2V+jp8Dy5Rsmkyk60QfPXTkn5haZWs6KQXSS6ZMr+p9HhnDkF7xj8XPLhQiMnebPROHCWK7Xn2DOEmN2/GK65/Zm4s0Ix9jC4oAlIPd35LbFCIv1PeZiy1HDy/0GpQpGQzYBoUdQkZAtzSJhTWK4zxwEFFFomkBygojBt+eUcsTGkXMdiEUSY2F7dyRfLKBp0OaBIgOIRGtcjc5FixQW0WSEBfW2JyZJKhEpO6BG9rSu8xyKmt3ZhSIKe32AVChJouyIaSPaSm5Sh5GBRgTMUqCjQI6QYoMgVLZeXJDtRDSH33qf9Mdp3/snuvwxRKnfto5/aFHqG8DdGRrdWVvFKF0dE3lusHp86g0zN6pOuuskUX4w1xG/MuF4bHmbl1O71Iff+3BCJmfIuZKCRiuKVCBrnOZRKLBmjow1lJTmn5EYxCP7avKufk0r2q7/gPVTGU051piUlBKtDE3T0lhL0zQzy+fDyVN9v1abGuWaRQKpJNoYoJB9IAwjJdeaeWsMUgomN3G3fSCUiEBgpcKo6joTQjBMVUDIdUY+i0Y8TiALc8RKaczcCKhldYKM40iYxZmTI+sxJjK7twpUkKdtmKaJMkfQTlPjEAKNbWrUSKv6+g8EpNMx0Ua/d8VQhcGQZheMqhB6NYsCVZQrczzMVJGm1Pa04KsbyKeEaVq0tWhjsE2LtQ39oq98IErlOKVcxZaU8N4Roq8xS1kn1NMwzo6XwuDexwTrGK5MshDCowhXSqn7LEYk81jIGSHUzBRTrBYLVl3Lqmt5+XBf42oxYYx+HLPW2l+JZuWZO+acZxgGhsMBQUFLcOOEVArdtqzPLwnes7+/YzjuMUqz6Ov7PomeMVYGlFZVnEEI8ty6l3Mhpvh43Pu2RQtJyfnR+ZZzFRciJ1dboWssRtV46DjHG/u+p2lbpKpjRckqjjrnyDE9iqKnCGZR70W5vu+xxqKVwpoKCEcIxml65KMVCn5mqqXgZwFXfvNzYR5rp2tB21YemZb6A7egPg3r6s47iYCc+E31mFdhDMI0PTYxppwq70tWf1WeWVRvbt4yTRM+BExjadoFTduhThy2UnC+gtRzikze4X14bNKbT9lH5xiFKgbODLKcTvh+KCV9gzN1ctidrnsfNvN9g+3Fr3dLfZej6kP31Yev+XVC0IfX4FnLe9yvcnal+RAoAhqtOOs7fvTxRzy/POOHHz/ncDxyc7/lr378d/zNi9dsjwM+JqSu0UwzZwXLPA5/3fL7CkPffv0fIiz9ryFK/SHxvSulMEKgjODmzwT5Zol4veQLKXCt4NgLlouX+G3GPcDlueCQNQ9BM20mlFfYscLMTwfhOBq0yjQ2M+VnSDlhxEPdVhsJi4BYzxP2h8IXOxg0vO4L3999xNR7Xl/f0bxrUVNCO0foO0zJ9D5gCriNYvtpg/i6gAcQXEyWIFpumg2WV4jFhHgWKF9b2qFw7jyv7OdMjaKs9lyfb1kUWG0XvNg5Sow8KZ43wjI24M4doqn8nmdfJl6XK5xUNO2WcdLYlPlcHHn5JwKhen7wk+/z87xnL4+U9Tuuj5/TBY0sP6WTgtgLfvon8NGXYILgyz/R5BcrxEHRyh1+7ZE28VGA3dEyiRb/px+R9y9Z+sD/zf4rrprEovVwdcdfn1/xsl0y3geWzR1tmAj/0yXdp28RZwM///o5Hy9GrozHfg3H6ye49ZJ2+yVJaJJQ3KepxrhokF884dwbmqT5yx8ZztwDG7dlbAqXN4LzO8F06VkOlqXvCP+HH2D8Dns4IG//NTLsETxw8+dPOVv1XPUt+UFy6B449Pd8tL8m6TXeLsncYcSAlQPeCJSMGJlYvvmktpe193hTSCJSRGAVPkLRI+hR25HYNoybFcJbjHpHa39Kmv45iA6pBermK8ZFZPtU8vHbHXqriO96fGdQ2tOZHUVMhBgZjoEcnoAFtT5idw/VxSo0w1rDpDAvNeX7LSw8orknv/iEaCTj9/Zsvq7ctLvPJp7sntKOoO/fcTj/mGAkpdxhnUGmCOkeQgeqUC62yK0C0ROffUqUA/iR5t2W+6uOHAuX/2FP/sEncNaguxuyKhRaSvghxFtkGmjcRD7vKUagH+5IaHJRqElwvLAkrdl8JWG9pHSGbNzspJekdsMkd2QxcJFHUiikoIjTBbv+SGgnPrEtXiuS1qxMW50xAh6iZzKWrA3XKeC2W/wwwPISpyORyPlbwUTCiURXEsldEv2GZfdz1LRCTStK+Smud0x9wo8XoCaymniVn3N5n3hyH0jPzpFZo6MiXyhY7Cndlpc7BbFF555NVDTsMTzwpnuOkYEFBxbhmjJF4njkcNmRiiIFyU36awyCFUsGv4di0WJJ3IAKBXvIiLs9JvV04gq6n1BMpFhL+XnEtyuOn37Ek/RzlLOEw0ccL+5RKrDIiVgOCJfQDxL3bIkYNe1PBPEHE0lD2Cn0W01qDMcvOs7EVxQ5sTMKEz9BhR4zKOz0BmHBP7vCDntSEdx3F2xutpgoCYuPyIfXBOF4uDKcIWmTwOw1xycF0WWuc0Cq+oAyvdkSV9dkrZHTG4pIZGHw+XMe7BuydDwfn+HsQFaRZbCkqaekgmx/iewuwS4oMmDTHp0jMX+M7PakZuRNNthSsCWzGCMub4hlhVbXjNqT5MTVcEvmgSCO3KNZbdf0+54oPX4lCJ1g3CdSuaWUHW3+FNkXSp/4CseGDZuywsW35CJJxVC2S9TbPdwe+Pc/fMrT8IaPplf8f56ccSEiz7LjtuxRh4J9KJT7gDtPjNewffkZ3U6y2kXW48/ZtmveLJ6xfPkOCCQT+XEXOI/w+QR/94uvmJ6tiH/+McvXW4zR2FXPT2PC3kuuv1b0YWC8TNx/kfn0Zzcc3wz88pcj7n8jCOkK9/pP+VErcLLwpYhMV5GujzxbeN4ej1yowL9aeMRfS8ZGc/ujnpvsCcVDHujNn5KFZix3rP/tO7RW8N8+4f9+9YyP+iX9YkV595r9beJnP1vz//rbv+LF9hVmfEVoW3q54ofhU75Mf8e2JA7yT/hed49aDfz8hzu+/9UTlO/5u2uN0CCzw97/Ar+sKZRyLHx2AFsMP724YvXijoUbefKFZnv8mMO45vYYWbmXmHxgaJuaUDEF/8zD6yeUY0e5+pJn6ZJF7vhZ8zV6MNgg6VYTx/0z3LikaV4QwoKEgT99g7lX6F29b1fOYULkWrfccMEdK0ouGLOl0XueuIlYwBXBvmvZxA3LuOKnJZCakdKOpJub33if9Ae379X7o/+yn1B+uPxDCFG/6374dVGQ3/T3X1lHXdHphTXqMtd914arymFBCiI8go7LTGs5LfMUEZihw+K0jXM05NdMnj58r6eJ2Wmbv+Gmkqd/C9LpMe/sPCizWKEpMDfpSQpFKYrWREChQVYY+iP/yNTonlYaKefWM9LjhKxQKpA8q0fXiJS1PS7FSCo15uNLru9dzDwcIBOwJz6TrS1rchbnTtXziNNerDDZUvKj8COVRGn5+G+lqqBVcp1s+7kFj8JjJKm6YCoEW2v1GHEC0FoRYo1CqdPEXwgoCWMUUCH1cnahrfUp1sjj9p6Oj5pb7ephnl1sUr2vtY9x9g+V2tRxmnDnE6eG+feIuc2tujKUMiz7fuZFnZo4q3sphur8OgHuT9GuFCNhjrdVl1ndfmObyvApsVrsyfO+UvO4fR+zK/lDh5d4/P4p3oaUCCnwwXMbHLcP9xy8x2pNOzPN0vzeTnG3U+TttEhZ3Utd15KDq098S8FoXU+WmPHDUJ1lQtFIjRISMZP+JTy+L+bgzeNvKGIGwtcJvtFmjqvVcXESNsQsRiqlaoslVWDWsxiaUno8705cOGZu1uP7m7NehdlZp3V1D1EjdkKKKuj4UMduyfRdjzkJu7OoE1NEz+ehpJ7LlAJzM1/d59WJleY4HVJiSsEVzwkLb5R5fw0hPboxQ4zzZU1Qipn3UyY4Pzuh6jrF6Vw/uQFzrk2LJweY9xRqvNM2zTxm5mhcqUUHztWIZMn5sXG0RvzEo5Bzcl+dziEp6phKqXAyKD62bH6HC+rDa+a3BaZ82mcffP+7lt+Hw/ThNnzbw3WKK6tZzEupsBsm/u7la17fP/D1zS2rrscqyZ9+/imfPn/CcRz5+uaWFzcPHEbH6MMHrrr34uPvuvxWXtZp2/+R3Vf/kEuytjKcksW+fCCqifSksN0acmeJS8v9w4p2gpWAXRwZoyJ4xeUOVM6IGGCp8FkwecEajc2BJgQyd5QERWi21wmyxI6aVV9ZUXtqRCaVhIkT98WQQsHsDSKD6EFcCsK9JQZJLBm5OZBswj841LLGk0Ci346QI5pM8CDR6JtCtIIJwb4Y4ipiRGC9O5ISHITAu8C0iZSoeHfzjKgP1Rl2t0HbAZM9nSoYMZERNM4RLhPJFG485KNCKRieH+DhiA4OoiGeSYas8TfnmNKhfObJy7e4XnFoBKLJyIsBWk04rDjvd7RGEHcrmqRqTfubAdm3NMuWV90WxkuGYcndtKcMDVfJcl8GWqVQxrD/oSNvBFIZ2qGlWSXESvC3P7zkYtewvpOUjxakN4K4hfSjQPNuzfJhzYtXDVNuaYvm87+9oz2fsCtJefMRwyDwJfEJr2jkGUJeknaSiUIWgfP1K+zRoacJ12RGeeAQd4ziDLPLnN1odnTY9UDb3bL369kBWmhLwgwSPVrSqsAU0Hcj5aJHGEWSGUaBsyN+uePixmB1QAlHGluKHnHa4sxLFBYrDFIdkAhMamC5ImlBaCTGObLx7BcFkwrJtaTyFJkn0IVoFpRLhxCpOnC2UIQifNHSKIdKCRkW5IsGJTRpJwgrD0TWNwozDVAgrgylr81ko5Q0u4KOmnRxTfEjlIieFuRlIUtLHhao/gGMJ12s6aKBKJHfW2DWa4RW5F1L1g4IyOPXsAoIXYiHvhaG2My47DHeorygcEBHjZSGeOlQ7gBHibsKqLBAFoUMe6weKDKQwgriiCwBeT6wSoESweuAmlqM6JjWEhGhCEFIDZ132DRgJ4VLkpQV63dHei3ICpQyiGzRRbATe5p4pHMO1ppJOKKK6LzES4kPI0YOqAQytjxV0BhLXrYcdY/FgdnhskbsJthmvEgoNFZkrHqY4+0LTBpocqItcCsksYGkCwulESUAR86dQQmwKmK2mZI9yAPCZERUMBpEC8pPcHhHWj5BpBFzf0O0H2OMZjHdIU1GENFpBxiKg3Lrkf0KhCI1CsUBTMBfqcooCwKtBPrsQLYGpzRHuUalDvswoZuE9BP6tiBXLcJIbAjIbU1MrOUdlhEhNVIcKcsZhq8ykkChMDYSjgVxyLhxpFz2CG0w8ml9WKcyue2RU6ZExaEvNKqgU4b9sUaXdUbsDNiRbDKjySihUUmjpweOEoqwNKEgdCSJREqWKASSGsMdRGEqI5fD1xgRkSLg8hGnHEFm7BQhDjideLUyNE3EqlT3wSSIvuNt98ByWtMf15y3W1ANR9liOUcITyme1/I1S+FZkpDWc7SZN1ZycXfJWkasGTiYHpMmSh4YrgSlC0CNO5vcIlTPTd+ytY6H7iXBTizDgqW/IKmf4R4yx3uFWxoGJOMrzyd3EtE5JrVH4VGtRX62QL9ck3zi7uWAUmustTxXivEQGHrP7nuvkPaKPiY+Hw/k9hwaUHaPzRs4Hjj87B3FfR+B5PztDts2pLQmH67Q17ccReBm53nWZZJW/OQQ+Z/zPVdxor8NfPGnA4tL+KwP/D/OP2Prz9jZJf/m30but4WfX+zY3tc52meXb1iYAI3kqfuYvVN4F8nDnm5ssCWxPBPc5TXCaa7vBkYcB5u46gLBSoZkeREL7uiIbke3OkAzkWKmyR4VBSpK9M2GXUxMciAerokp4OQ9nEvy2OOTpfQT4ThCLqxCIKcDSSiO94r1UdFHAZ1lKOCE5EEKpjTP+S5u6Jxj5QKiVOi+pBC8wy12uN6BSIixgXH9W++T/qthSv2xoni/73p/VzHp9/k9v249j9qROCVvqoPIKFU5QnPHtxBzkXopfMiI+jCQkct7RsU3hC5+1bX1Xdvz4WTrNMn6lVjfPBnOp0gg5ZEjA/MkPVdw9MkZUXKtPT9F8SoHBrIQoGsbmtaV/VJSfpxwzhtV3UqzAHICppuZNVWdEKcGuqq+KTE7pHLCqiqQKFuFqlJqnXQVeQJC1Mkp88Q1nlq5coWQKqUwJwC4UrS2Iec64c5pfp+zC+y0/1KKNeJ4EkZmR1vJhVIqqF0q+f64UTDGIJSsTiOl0NrQ97VRIs9iR0hxXn+q2zTHkR53leBRLIohvGfpaP3oHinUCFShOgSUmcWnXPed1JK+XzwKlD6EekzmdT5OuOcxUif6sTpPToyfAqWIKoYVEDEjqaIJs8j1ON6YnTUnoHQBMQurzMdGzW6veiMXGcepwtKVQvQ9fTs7r3ImpoSanQ/fZEvN41MpGmuJ1tSG1Fit+3nmevlhQBRQpaBP7rOTWDOfA1rVqF0ppUbVqC2VaT5OUKH0Wsr3zJj5OMt5PXoel4W5CevRTRe+Q5SqouNjC968LwTVPSWlenQZoaqDxjlHIdbIYgzEmGpsr+vqtaTUqKSam/ekEJSUaqQu58f3enLk5JzwISC1ruNs5qUJBFmV2n6JIJfqIiu5PLKxKhtJQq6iUfD+8XjHOb4nRI2LzooWxphZ8EyMg8cLX69/Uj6qM0qd3nchxlRdk+U9t+nb17MqSFUxTH7juiYRojwK9992Qf0uHKnf5XPzw/H47a9/1/Lha38dv+kkJlXxLvJyukcI+MWbN3x8/YSn5xv+/JNnXC4aYoycr3oU8PZhx9tdjer+xk3/Hbf1tE3f9Z5/2/d/0777XdzG/5j3LFFbcuzJsaO/faBcBtJV4uAaRCeg1xxf9Kgk2EjBbYz4IChBsEkCQSaLQm4lOQjw0ElBUwptiii2RNHgVE/pE0wSvRMsQmU07iUc2w4ZEs0hsRMgosTsbb0xMMCZIu00KWq8EqjlQCmReMiIaxBKULIg6wAxoErCZ0V2Er3VpEvIGg5OI1pPkzIb77hJmlFKjioTukSOhqlssGoCCmq7QjUeLQNGgZauxvxyRK8zsRXcD9DcGbTQHD4eEC5UBkxQlOuCl7C/XSDFqvJKbu5585nkuIa6swIoiGnBxnrWKnIrz2hVvdbKMWDWDXIleWcPaHdN5xZ8NbV8rC1nSZFkgKSJUuM+j2Sp0ZNgGTVWKEqX+fpiTfOfC5u7hF+3hNeCOBY4n7CHju5hzbAVHKWlEYq/+OWEVRGxELj7aw5ZMEiPFQ8Is8LJDWEfGazAGcG6vaPMTV3ZQmTEuQM7aTmfMst7zde9Ytlv6XkLcUNRmqIURga016hDi3uSkD6iDyA3EqFLdcwH8GZibx+44AxDwCLx0eFFZMoGZ+4rL7K0KB0Q0mKzhL4ld4W0DNi7QFKJYQVNqGykEq9B/bJ+wouWuGxAZnJSdO88pZX4Txrk3REVMyq15I2EpLHbFeHsAZUSixuFjL5GlM40wmYwkmgMMgVU0qT2jCIdIhak60ibRJaWtJPYEpEmE1dr2ntQRSI+ajBygYjgpxYhIiV7xPAO0RvQDQkLxZGJjJ1BBouaOY0q1nuitEnItwHhCpEIuavNe3qHElONvaYeFQMSj1g5+iNIJ9hnj/YSXRoOy4AuVXCAnmbyLEaPPPSIRoHRtDuPMhqMxq0kEoNIGicONGWiiYkoFjjjOagjbbogx0QKjk5NmNyio8WUTFGGvGjxyoAckWJkygU5gRokpZ/ARDAJoR4g95R8hi0HbC6YIjnqwqQLyRZWRQKBqLcssq33zwrskCkpknXEjBGCJR4l4qxAdOBGkvozVNSowyuSPUOpgAo3QKy3hHKAvIJJUG4C4npJaSzZKJTYUXQgbDTKe2SZy5P6EWE8WXRMqsVES7+XKAIyROSQEBdrpJWo6KvglTKLZkcRiWIsUg1kUx/wWApaRITM+KagBmDKuN1IbhtE16LVGhiARLHN/FfFZBJnAroEDCNKZoQWiIOkXHii8UyqoBHoJJAuMOl63VG5nvtJQIn1fikLSUAwisQoBi79WMWBkpn0xCQgoFj6RBaOaBO3iwVrEVmWgGoCwmlUWrDV96hxTX/oWeYjgxWMWtDIrrJ9Cex5QOlC1yiUmfAqsTOK1bslvUqo1lS5LuxRqbDbKKyS9IEqcncWqRUPumdvD0zdHXJjaZ1CH3p0CGQZGb0hrTQhK8Y3hYWHUhxTc4/GodsOdSHJt9dMLrK7OZLPllxay6eNwPoRsy7wfIvMa6wPLNUd0m7wGrbao801KQbuX40ItaITgquHB5ozRY4t5f6MvPyaxEC61XQLzaQV2z38jduzOowsfxxRHzuen0menx/4P56dk9WaNxeK2xd7floG3l7dIXxHkwIX6weKkhTRc37c8GIaOfiAPBwx95lWQncpMUOLHi3XY+RnNjGS+VREdo1kKJqHAEwe6QOb8x1JZWIUNMdMl2ocud/1RDUQZCINz8jlLUkPCNMiRAfFMClJVg4pIk2KCCIZwXRsaINgiQBp8bowCNgDoWREiZT1A/YBuhGiBpkEMgtMhKMZGdYjRQpk0ODsb71P+q8mvvfHFqV+1/X9sZ1X3xaBvmtSYrTEzBNmPUddYsnkeQ7/wa35o0Om/ms26/zK5Am++Wz9m79P/oYn49/+/umP/qD56lSzrpSc2UaVmbRsTH34TmUpnSacSD07ExRt2zy2sxll3re7KYlzE+MwkHOaf4eqE3tRo39n6w1N12K7FuT7uJ+yenZcyEcnFqWgc6mRsxPLaZoYtlu89wAoo+b2QIkopTalpcr7sXOzYN91FehcKog6xkiamUVN03zDlfMIPlfV3VIxz9VZFULAu8oXSuQag5pb3Ixt6z6Z43jyg8l3KTUud397h3cOqzXr9fqx9fAk7IzeVZbVHI16dEEYPTur5HuRrLwHbQsgFTBdO0el2llwy0xzDE1phbbtY4W9Ns0js+jD+EuZBYwyCxsn8L5zE8F7vA9M03QaaJw4Q4JZC5ldYjlEJAUpChlBSImY8rxvZueaVLMiW96LboXH+GXdtjSLH7X9UArQUuDnNkY/OUKqwPwQIt67KuZJNWszYhayDKlUgL0x1QWlhXp0QwkpmOZYWE6pnsdG0zTt7MKpNb3VFVZmYbOKTkLXc6cqVOl9oyPQLnq0qTHKFAIlpbk4oILIm7alaZtHUSsLSLk2NIYYq3PPe5IPSCk5P79A6nruCanmCF4daDnO4mKIle+mNbZtcM4RQmAcBpq+R8+sq+A9KcYZXn6KDtbmxDyfb5witdbO7y8zHfd1XJRSRS4pKQhciKQYIWcWfQuljuthOM4MswLSPIqY6uRwQ8ww+fhYWPDN8VgFqeoe84/nvpyvW6fCgZzrOfpeyPxmhO/DJr4PBatvt/J9+1r6XcLWt1/z25Zf9xDhm9+b3XyAIhNnUVMpxdPLC55fnPPf/eh7PG0bUgj87MVr/urnv+Srmwd+9uamuhilwFjDSTI/CcfftR2/b0zv7/P9/zVEqT8kvqf1Ey6F5UIYXjd3TNYTbeDy+RInEkOKpBfnmBBpsqMAyxjZhMBAZe0FAbsfSeSg0Tfmcd2CwuU0MZ5Z7p53mBe1KlxQkFcTURUmCWTBci+5vNF8vXKEuECO11ihkWpENne4zwSZRBk8n7uCzyte52c8ufiK4iL7G4MzEyILbGyYVg6ZBfZo8Z95RBTYF4anIWCWLel7z7n55TsmmQkfr7Bf78jOM6kJ/WmLDXD2Y8+xsWjgqfe8sZaxF/injifvCtJJ7kuD8Z+Sk+ZQXrO4XNPKzOrtL0k/OCNYzfbLAeM8FMvQ/Blafk2RW0YzIoZrhF4i/7zhn39p+Shrrv/PhuPbLS5Gwj+7hMMtcRh4szek8zOKWpH+4zWX15HN2vHEvOInX3/Cm2GD+t/dsjgmFmPk4/Et0xQZSuTL7x84vL5kvN0wFcOFWXFuDFeb/4jVHUavEN2f8C7fc+/3tL/4mB807/i0e+B++UPaIDCp8PUzzbC6JbQ7rr78IRcrx9lypPtJh1xNiEuP+P6/pL19Q3vzNdsfPq3FElJyS4EsUVnxVP0AkxpEkry7/I9IZTAsaeSIdBvEeM2u/QleRgKST49nHIzjbX/gX6QWo9YkdUESW0bl2GnPZbzEKcl9k2mnTFs6luKMpfwFSY5MMmCnM/KQ8dsDu9U9Kvf048cczrbocWD98kC5XhBZMg5PWY4vkCbD+Qq/fovME93e4WVLUkuSeU5z8xpZJlgX8qtLRCqo1T25s+S2J62e0T78HMbENH6MPP6CogfSE4Vw1ySjODx74KmTNHGBC18g01uknFBnhuivycVQmgfST9+SR4f/ZMNyCGiRCc8TDQpRCqObKG8iZYCwOEMtA6JNhFbSxhYVFd6PiLImyoY3546zEFhkAfopetwjk8M9X6NURhCY0ms01wix5tA8YGSPET1rLjnwwJSPPL19SpGOJD1RhUdnknBHDjkw5shSDej9FfJwTihvubVH7qxDcs2lP3LpDogoKZ2CVqFeJ4S0lKZhWC9wReJyZme+YimWnJUzmrc33Lc9b9ZrnHjNFZaPy5KoEuX/T91/PUuy5Pmd2MdVqJRHl7yq5TQGPYvlYrkUu0Yz0viv8mnf94UvtN0FAQzEYGSLe/uKkkemCuWSDxGZ51R1XdE9PSAQZlUnZQgPD8/4ff0roiAFSSYkLYlNSJytcrpyw2pxRbJnaDsh7yes1L8l855ZVyBji1gr5KsK99M1OJCXhvizj5DCYrbXpNclqYT01FF8saEpC95+dsbZ3Q3ZqkW87vE/mSKNJG8izUWJDJLiRkBbg05wbAgvA9FE0ieROyMgzpk1P6V48/ck0VM/WzBTOZkGU/b0XSTVAf3S0z9JxEmB0k8wuwLlwejdIMuUgrqELnTE4MmtgDuQIVCc7sCfk8hIxVtUOiYKxc3kDUrmGCtZ/K5BasBkiOIpbxY3NKbm+C7hqgCZZOrOSDc1dBZ1McEZhVeKSIXaKUQP9XSDz1YgLbPuR0gZiaLjVfo1M39BERdsy1eDTCYKCiK1u6AJS3azF5zYBUs3ZWXeUO00RaN4vfgGrQI5iWWdI9I5kVNqu6XOdzT5jl5tqXxg4iJXmSeLp1T+guxSsm08q8axu7Qcacdp4fj7k7dMY8epdXz5zY+IU4s623EaTmiyS27LL1iuE5LBi2r1a9itz9hsP+H4088p2VG1Lb/+ylCy5HH5lL9eRDZ6SyOvmNcFiJKQzckeSaYKzn1E/HVDM7/m+pe/RV09xusp3fGMuhaEbUN6e8ni+inHkxmf/XTO6+XnmK7m8SvPqoo0LrG9itjnGu2nzD9/zuWfXTOZ9/yLPPCvVlOcj/xU3/HpZwvOTqf86OKERSuItefNyzVf/K3i168a/uevfstydkuFZX4tyTnGM+EVE6x+S1ANQiSW1lEVkckvJV/ePmO7zSjuXrD82CMryTdvzsi2O2Qfse4pxlwhREvfTvlYbjgylv5RydVWsWsBHI+9oSTjH46PeRwumYYNX1uDnTtiFimu8qE+0tA/T+A9dIn0zQlG92jjgJEzoMA+69Arjd5J+ueWeJnDVcFCnhKyDU5vaduMMnaUdFx69933SX/0HdZ/Acs/NTvqT31j+3C933UDfZh9H5+rgz+TJDMDE2cvpQqMRtLpfqJ6JFi8s473Hz/chwEQee8Dhw8mhlFMHj6738b7+/uhYxmeJ2AstmIcC0voQ0SJNKDveymSlGg5yosGgQ8pRUQAIQLRDWCPHeVLIaVhRlVwkOqlmAgpobQipUjftYNn1FjkBzcwLvbiw8GzSqPE0IhRCHzX4voe2/cH6VFwYWB6qAFoG4poMEZQVgVKakJMRDkUn25MWzuYPevB8NpbN7DaGCRezg9St5juTYYHhpQCKceYXo1UgwFqiolIGOSQMLTne0yN/XlwbvCqOpiTx4iPgbZtD4DAw+8MEq5hsAkPXpfGDEwgIQYDaR+wscP3/YFBorQ+gE+MBvoICM4S96CSvDcZH+6bB7Bw8AsapCFKKWwaCsCu72Bkl+39n5SUKK3GY5T4mAje0Ts7SscGYIluYOVIJVFSI5U8gAtylDAe6EuHNhsAHtu2wzGkdEiE9OP5FGIoyGOMJDEaaI/yOus91g9ytRQjYd+/VELHd8/B/iJy3h36mNajwTcJa90AgsREiANjUJFA7DW5g+Rsv+/a+8F3bASExei99tBX7CB/TAkxtkNe5Eg3yDmVFLgRZAghIPUIUGrFuHVSiqDUMCzk8R155R6kzkaT+X0f2IOAYp/qOH427AEpOVxPScqxzYftWO8GmW5KaCEP8tM9SJnknr20BwUHiVoKkeB6xtM3tK64910a2mQ45g+BQPcy3OEz41V5b/T+gCH1vnfUwSfrwWceLu9v74+Rnf0QOdyHng+vwZ4zO4C88l5aKgSbXY11jl3f8WQxY5rnlCbn5x8/56NHZ/z48Smv7jas6pa36+1gLM8wlu1ZZd+1Xz+UKfZty7e12f437Z/qvuAfu2SZx5PY4lgEjwiRTRQ0dkboIO0CqYkE4+hLi+kMiZxAxTr15NJRac9qGwmdIroCY7rD77dYgNKe/K5Bt3EQQWtF3JkhaCJIhJ5ik+VusUNFTUqaCCzSHSZZRPBcNgODVTcaMw/I3jK7vcYJCFGNLFqQuSCfSWKnkTZRWke6VQSVsJVj20i0DfDyCtuWhCKB2lIsFKaeslgfYd4O4QfbtBsmTHTkbZ4wvUe0iu6ypLEe6QXWGbJ4izIGcXaCqDekvqGNkd41BJWhZ1OS2JFcQoortKuHyQf/lGk4oSpzTh9bntbHHNWG4uotL3xiqwVPsKw5Y5cEjV1hYkWhDY+yK0xu0doTd4pJccOJuUO9tOQioIm8UY5tO6XtMgSgM0MxTTw2O2RmUZkimxaE+hhfH3O0hck84XLofcsqeXQQTISkEVuc3lDOSkwhCGrBabHByoJXYcn5csdkpilnGYTXOFnjM0XWrLHmhJ06ZrZ9i6sMbmZQ6RrZaNJWUh8BIpElR7XukD4jhhqfJ7IuMm89etYhNMRUEsIcgcGLjibrEQgWbkq2C0hlSc5iYkSP7IitSMiQk3Uz6HqSbcCvyLceEVpid0mhPZJIPNLEXBIRY2JygYyOtKuRagKqwGcW0XaI6KDsiMc5MUFUDfF8hxwIWIjokb4n3m2xRpJmCVds0EIhYgF9QmUKqTVlM4VaEVxGCi1qKYd7qxuHTFvQBjuVxDwj2Yhcb4kxx2cZncxgtxtS27IlsCEJNxin7zyyGfw3owlEFfBGYdYB7RxmUWCVBhmYqjuSHCYsU7eB1iOdp6oqyDPIBPOosNHh4xZ2Pb7o6fLAzbJDRZAoisySuUjqAjWeqBJohWyf4ZMkqA7pMmIcGEbHXoPQ3FSKLAmUnCBSxW5xR5EEFYngDMq35G7LrvJANwQbZAuEClT+lmUPlSoIek6dOpTw5NLjksLGiE2e1N+gvKdwCiVBhRrp7/DVBJ0s2lrWmURXMLnosf4xiB59eku/fot0iVh74hGkCoSOcKKIKTC5XiP7gamYHhlwFV5AN+tx0mOEJp8VbAqJwFMFR3tUgjJon1N0LQBCfEOYxyEFXHTEPhG8HCauXSKJAveoANWgbED7S5J4SlAZBIFILcmANnMKO6TKYSS7RU0KnsIapKpB9aR4BMYgFMxjNZhLG0H/KJAHj4qRFO+YUpMJjy9PCWpLxHGTdxTTjCwzpGxNKyQ9GoTBGA9E1mZNKXJyZqTcEZMjJkvRn6DwSHHLpJnQGEev3OAFpBqWCGbthMpBEVom8oioPE3uKJoFIa/ps5a1tlib6L2krW4plWcpIMYc6QpEV3DarIakwXjNbjohpcDMOl49WZM3jtRYVNngpGUTPH69JjMtVVzzMmWoO8v0S4k+tyTrcdvA6xAJiy3myWuY1my84bVccntsmehENX8Db2aUSVJkC/TdG5Sp0YvEVt3hZMKGjF11ggglR19UmM4Ti0iXVbRvfoPuOo6jpL3I8KXG4tk6jxAatTjmprNYmYjPJam5RIQN8dktAujbjC/7yOO2QdtI1ue86S2X8xt+9eQ1fz79OUdMMCrx5GNDdVqRPe2J7RmrTcu/Xl9SJE+KNbWDo2NLZiL+qkAtAn0lWd+c0t4pUuOICbZXM4TWmL6hKnvUJNLbS1LfI31Cm56dAIumuxuYf5MUaYSgjh029eTO0duaGDxuBvQlstOkkx1hMyW2BeltT8prhLRM05YslEhRsZoLUtiRUk0Kaby/F6g7TWwlUSa4uCG04OoCkSryWWQ+7b73Pum/OlDqn/qG89vkat+1D3/IPn0f4AXv3nQL9olbEq0kRZ6NZbPAMchqhgn5h+Kf8fm+cPuW4ugdYGosHt8HNfYeSuNt7zusqoer+yFt8BA4SYALkSgHQGkw5AXJWNyJvbfLmPwmhqJcBvBpBIVgkAcyJuCp0T9KRKIPB/aNs+5+H4eqmjS2nRASafTAEBLyAPgE7/HW4p1Faz0SUwbAA4aCf6jFBFLfM6icCxA5JMYNAIqmqCoQguA8MfSjBjwhDr5NAztmXy/KEXiRaThGJfUAojAkrYg4gjoIhIj30jbSwcBdMAA7e1BKiMHLyAc/skUCKaZ3ijmtDUlIkngoBxtAu316XBrla8EN5tNq9LMqMnPv77UHpZIYQIdRV5rl2f25EKCSGujHLrBPfhzAogG8CH4ABKIcfNNgn5CmDz0+hAHc6O2QdhdDGNhpziHlEAAg1SD7NKNxvUhq6FPfwrhwfTcyjSJKGUL0h9TFBAMIJe7Bi8TeT8njfA+MDCo/AJlCDJ9PI8NmL7NVUg5yUu9HnGAPmEm8G+RjKQ1U7cPYlOLhWj/svxCYEFAjO2poxwGAe0eaOALDMUbUHgQeWUQD2D2yLUe55X79Wu29vSAGgVDjKCRGcHhcp2A4JpFlA1c/3Y8eCDFCzaPsNqURVE4HwPMwruzZSKMUN6UEIaFEQogHIOq+JUa2mJADdTgBPnhGNzoGItbe22n075LysO73wYwPglJpBKHSPQvq98a19/69c44erPv9979rnH4fdPnQ6++/9vDzDxms77+/lyJqqcexR9BZy65t+eb6llfLBafzOT9/9oTHR0tyJXh+NOfXr695dbseEvucG8D4b9nnB68efjM+JMX7Pnnety3i0G++H5D6YwDAP9Wic4+LHh8FT1ygG9lpXVvBVpHuAojbMY3HI5UmhQwrJtSyRsmOTAI7R7SS5HOUskgVEVKQJgJlA8XKEwMDUzBlpFaRvAArEbM5PttRV2uybTGkZBEpqclxiJSQTSJGhW4yOOlR3lF1K3YpJwmJBvQQykUxgbRVCBsxWMxGDYXW1NH2GmUD4uqWKD5FZAnNJXmxpPQFRT8jc546OV4nT5UsQgQ2JZw7UE7AKsPnA+iMl0i1QuQZ8uQJ1G+JdkMnhlCKqKCojojWQnLkrNExQDI4ecZSLznKDc8WW06XU8qkCDeWVS64k4qPa4f3Z3SURN+hfU6pJOf5DT5zBA1+OyerVsyLDnFZkE8iFJFXCjb9FNvMOHUtudIUReRZYdmWLW0OWTah381xzQzR9eRlYDKJOFHTOMuNT5Ra0OYtTXbHWdVScIx0c5Zqw9uYs7IF8+qaopwgswnR3WBFxBWK076jDYpazznevEUYQTAK4TbgBKmWuD6RTILk0DuPiB1JbBFIMi9Y1BG57Aakh4zgZ5ACXrb0OIpUMHUzUrfDiJ6F7xAqQSFAtjQSMp9RdTN8X4PrSLEl30miS0R7N6THloo41Tg9TD4o4UAbkguIrkaqJamQhKpHOY+MAqQjzLPhXqxviYt6LGAUopbQR+ha/KkiZhDyBukUwg7hIUoJhFRQV1BLgpckuiElWCvi1iFlSyo8MRWETJMyidhtiVlBNDkuTpFNjeoj4ahCyBakH9j6NiLiCErlPTEP+CLH9B7ZQRYmBC2wSiDSiiQGQC66HjY9so0YMZhipyQwXuCTHybDNjsiCW8U61mL9prMS6osIm0kuYQfycBaSlI4xbPD6S25l0NxHSMzr9jlim2uqAQYn6PcjOvplrkXKCuxAbS1mG6H09AnTxNbpD4FuaUMO467HIzGy4I+BTIZyVXARYVLiZAi0d8ie03RzMjLCKIlpBU+HeGjIoWelgxTRorCEuoTkt4RZ1fYtytkq5CtITwRUCakTDCX0Eby9Y4oJDE3pKMSfVcQRaRdhHtbgErSRAkeTBfoFxlJVuRhSlYLBA1i+oY4KQGFcp7YJYIyhMognESIDH+yRO5A+holbnH6lCg13gZU6JAStJoh45Bo542hn+2GGuTaDCEQSkE6xusx9S0UiJgTJWxODKYF3QVSvaNKHTmCVT6B2BOTZ6ctTGaQKzL1BpugR5PEnCQB7dnpFhMnlGmK1x0i9hAchZ2g1RpkQ9k9pk+RkDuCgLnomIqIbk8gOEg9xhzRyh5rAvl2SqcDHT1OQSMSTYx05ZpHSVKFDBULnJ9h3Yx55wmhpk8bdo8EhU2U0tOerulvHLH2KOVxeWIlBUwbVGjQdsdbVTPbBGZfZ7hlS+oS4VZwmwJq0bB8cg2po+3nvEpL3HKNzGrWs1vMF2qQoooJfd2TZ5ZFqenii0Eu2xfUk2OKJuP86wlaB+I00BWK13fXZMHyKD/h1VxClrChwfUeLwzX2Rk3zY6URapHCv23b5GpJ3xUo5oK32peicgvw5aph251xNWqZVvW3LTfYM4/4mkx4UxKyuOMpyea588esbuE3102/Ku3Fht2xOBwTU0x8UwU2KDo5pK2UtzcncC6RvQ9FIpmNSUlTWYuyWceXXl0d4vAABItHbWAbZJ0a82JsRTaUUtDjUWlgPYdvY10KRFKh7mdo7qCdLEhNjkhTJF3iTjrEYWjNC1ZqCBWhFISbQMuoAKIJBAosjVEK4kC1GKFCCVsK7QwZKUhX34/5PRfnXzvTwVKfdd6/qmke98JRMG+GgMGo2ujDVqpsdgXh4LYj6yDfV303m3/YVu/x5D4AJPmuwqg4e+whQ8VNe8fm9b3qWYPGQkp3ZuOD8c2SMSMMYf1l6Nf0b4QlPvH2ozHmoabirE4N8VkYHqI4UZDK4lR8uClk1KkMvlo/i4pJ5Nx+wIIhwJdjuwKo8zgH+QczXaHJNG1LevVapDtpITzgSwfjbLHBK4kBcIMYIfRhiovYCyFpVIHtoiQcpDy+YDr7eF8SsGQ8Kf2EjI7FlcKqQZ5xsF4fDy7exng3p9qX8zHNIBmXdfh+p4YAt57sixDa01RFIciH8A7N/j9COj7nhAjRV4MyYDj9R5TBCkws/mYKheJfcee9SS0PuxfPp1h1CChrHdbtNIopcnyjCgGbyOUOpinK6UHwEhKvOtHM/QB9Nv7Nu22mzG9b2DL7OWPSmVjf420bYu1PdYOkpcY/CAviwPbTGszpA6OfU6NMqwwts/QpwaJ2sG/qGtQQqD18FnrHG3fjUDHcA1kUmKUJteGmAaPKmsdKQ1yUiX1ALhIidESP0ol7Wi6rkZZoR6T8IQUh35vpBo8uhhAaT/21xgjWqrDNa+kJI6MorwoMCYb+uD4AanUwE4cr329N71P6cA6Ekbfy3pHltHeIyzP82EcyszBhN87PwLHQ98NMR365n79A0DrcSFioz8AOX3XD+PEKGH1oxzS+v0YMYLjMUKIxIPEThykc0OgwQi+pcFTKgFJDB5wKQ1MMuvsyGoawhbSOP74BymOcgSd/Ghq7r0/AFV7Kd8+lTGldDA/3z/et+vD178NkPo+sOq7xuOH4+z3SfreB9f2f9+ZcEkg1L6/Dd1FIgazfrGXGg4+XT5GrA/kmWFWFfzs8QU/e/SIWVnQWcsXr1/z8uaOv/rya7atxfmIUIPXoZIPQCDuTed/6PF/aPnHssn+0PU8XP4x8r3sZxnproC7gqrocZXF5ZHy6lOc77HskB9vKLaR6i6x+Eiy7Zfc7k5JjwNiLRBXYIq3g+eTLUmpxUwhX0rEpiOzjtxZrp8LVLukvD5nCwhVY7I77DPLtI6cv068zXKcGH4TbX+GlJbM3A2yXm/o+4KqqpEy7q39mMTII+cQP07gBekVKC/YTAxfPZ2w+GKF6DS9OOKpqAm55cVRx8n1R+RZQn/0ivWXU0QLS2omy4JdVPz9neRU7KiEp5Lw6tljXAET/4YzuSTrBO7lirvPoFUF3efPSD9/DabF/Mpw5h1CBb48hfObOdNuxkQ9pc80aZmY/p92fPzFnHIz4av5EU/Fa4xY8ddFy+72DFkX/Gx3TfbfOuRFIL5N5F7gSfynsme+NFRJUfzvipuyZpuDS/+MHy3hqAj8u7c7yjSjTBl5+h3ZpEGbgHvxE958/Irm9I7/8R9+gTlZ4Y/W/PvcciwVCyGwwcOLRLrWdE9/yZOF42zW8qvTa5avlpy8Wg6G4iKghMWYa+T0MXL+jHAq6cwdvbrj0+wJvZhSy5J60jBTkWMFpp8hegW9QNx9jpyCPM5QThMKcBMo+BFJBYLckm2vudWJ16XmJ7c/J9cOWd6StT3JHBGqZ6zkG7JtZHGl8QsBFchJgukObEdcN2TB4ELFzi4pv/g7RNcT0KhlR8okMSu5Ok2oNufoq2Pqnwm0dBzdNcRuCVlAnt4hVqckKuJkQre8JkmL7CDfXiNTjygTXH1CElPiaY4wd9B3iFc94RTcRLKeZBz/RpDVHqo1pphDXmLnC8r+DhETTXaKVAl8JFxHbs5e4XTD0bVGmI+QaoqWnrR+A2GHPhVE25NsItwdEWZrUuUwyxPEtUK0iVjVIxlbocoTmAcwEfdGoose8sjNbM6021CGDl2eIwsDBq52ryjjCUVaMDGJXRbYmcBa94Q4mBj/+Bqa+Zy6mhB2nqpZYeyG350VLNKEZShw7Zd0dHR4vP+YUnhK0WGanugNLhp+tdgycUvm/ZJfF7/iqNc8biqUnnGTBa4yz2nzmDLvKMsdqvc45XHGMV9pogRnwNSOYCpsOafcvkZvBWqVkS4u8XlBa475uwhBOHLR8untKSnfsD36hkfxMV3suQw3LF5M0aFCmjny4jVCB0RU6NeJWkXennrKCEbmFGbO5IsSnQJq3kC9hgzEeUm/EoMPzrlHpxkQ8dxy/FVAR0E8z0m7CJ1GrCs4qZFVQk8ytJgP9yN6y1bkBCnIpKVHYxG0InJ8M6cMgnxxTSsNgQKVntLIO1LXMvtdB8dL5EyRH93RiAlWSAJrpmuJCIK3J4mT64LJLiPZgvDkmjRryJ3GrsFZSZxOuMyhk/DRdgDCvYm8tbC4DuhG8LcfHTMRKzJqVkrzKFmOnSf7HYSiJGUGJXakTuC95OuPDIs6Y15nyFBwN4PNJJB4zTTOmMQZnY30ekevGlI7R2mJVGDFCuvBB8ETmRFch3UdeZFYdRNu6ymiuCG/nZNfLfn64tccRcOjfsKrL3Zcnyqunuf8xa8k61Xkm3UkfeSwwdPVHc3kb3isC36qz/j15mtWtmDjTvnzT95gs8R10jx/0bJ72/Hyq5ofLT7BneZcPjd88dUxF3bHv+Ql27xF9R3VXUP72aeIXY7+daKZvqETkY0vCf/MU5ZwkQTxrwUuQf04sJCKtl7y5eufsf0fHMcnLf99fsXm3wu6pqKdXJCFNXa+4+2fXVFJyWI957P/9HPS0S1iskLNX9L3mjpZvjZv0asfc6JP+b98dsHzc08hA82bwJt+x4vujv/l+m/4+j8uaa4VebbGXmjitCSVz5j95nPUXcdK/Yh8KhAKurVg8tkLqsmOi98teHG2Y5VDuvwIsXgLsiP+9jki85D1pNkbskajuoKuP4fTK9R0w7GD5VqSNYrfFZp+OiflGU/bl9ztpmx9gfzxNebOoHaa7hnoVULvItNFR1DnxLRg+fIL7uKcLVN+pF4hZpFUCXgDN2nBrZhj+99+533SfxlI07j856Ld/yHyvO+TIvxB+zzckQ8PD/8NL0lAKjneyEu0GYp1KfaFmmAkx8DeOPydTad3/rx/HH+Ip8e7xyR+r4h4H9z60Ozzw9n/h/+UUu/tF4P8SYjRj0iPXkb7dYwcLXkPjO5fl2LPBpEHv54AA/tDKIwZjJ0HSc9gHr3fqECgR7nfXnLiwyCDNFmGlgPzwvWW3vYHECr4gS0Txx0XI+gUYkQET+8sQgysEyPVsOMP2kyMcqn9yUoxDjelfgAk9ywZOYIvQkj0HixIo7n6Xr4nBmNpDu0cDx46e3BFjVFhAwjB4XHcS9HkYBSutR7MXkcQ8aFkiSTwTTOc6zSCFmKQ3XEAijRaqYFN5j3O9oOWP4FXcmRfDV5Eez+v/V8pBEoP4EaMAefsCAhE7Ph4YNI9kP5xn5Dmx+Q2NYKHImmEFhipBunemFantSbLsrGthuNzzgMjm2Q0K5dCIE02sJrCYP7tvB/MvWMczPDVvl8J+tEcnHEfDzKx0W1nf3nENAA3Rhsyo8d+E+jcsP8CRlN6SRhZPWoMMdin4A2+cYcoALTRAxjZDcmAWkpifJBIGcOw73FMZYtjKMGDa13sxYPi3qw8xOE89gmsdMheUmQDGLoHcBjBvIcjSSCRpEDLgcEYYqRp23cM6mNKiBAGGUaMI6AXkUGMxywgDv05HIzyEj5EUhrPgRiOXwg5pEfuQTj2bKyBcRe49+ViPHdyHwgw7sv7srv3U0X31+9Dr6j98w8xkx4u3wfkf9sY/W3feehT9XD/PvQ7tB9z7hNPH7DLxva7H99HptoISkkGlqcQEhHiYRzresfv3t6way2TomA2KZgtFvxiueCTJ+dc3m643db87vKaTdtjR2myVHsvse9umx/CZPohv9s/5HM/lN37p1rO76C1kVY7Mm+JTuJUBmqDEp4Mj6gH2YjXCVaDoW3ygYXY4VXCaph7iyUiMsHSSWzmaWY9ZyrgtobdasrpdoOVHfXRNarWpMLil460WtA1kavQ0U0EWYgs6sCb7BaTMk78EXXa0ZNIWQ8kVEgU3rNmTiMiNzpxsjF4Kbieg4gtMvM8Ti1FCX0R2VUdu+sc7RRnW0tzssahmb9ZMHcCJx1vc8+s63ExR8olXTkjFD3d8hqajKrOOI3nbBH44JFGs7tVWCWI0ytQlizBeQhkWUSVil+czinPFcYBrwPVU09aKmjPuX20IR11bF/l9JMWbXqOmkBYKuyiZPfinL6vCXVHdtSyfA1yB00qKWSkVIHZY8+qMgStietbrusZm3VGHRQcb1GVY7lakcqKpJYsqgnKZDRS8vJkxaRrMC894hOodwWuLxCPIZ4UCJPxtLmi9SWf1yVlOyPpjM3zwGm3YZMm1GnCUe0HT8msQbNA9UfMwhRx5DC5ozIZIi4puhrR7bg67lF5RiYy9OmEIgWKOvFmfgRZjxYNRasPMvS3Zk6vLTkO0/co2UPWkmSGk55eX1P6NSmLrM8EsphgyCi6jKiOod2i1zVifoTykny3hWNPtIlUC/z0BGKA7Y5ieoqgJCw1Wb9Fh0hocjZHFmU8Sw9xMYz5qZeobUAkR9Yk/OSYqCNKdzDph98LZZB9iwoOfRKgOCJFw+zWYjKLMAI7vyBRgFTE6HDkJBVpq5rqevAvi1VBeRfIsagZJH0LosW4knqRExKU4Q6XC5LW6K1BpDn4gLCOmHIQBtFZ/CSQTERuWqKekcqCpD2xtYiup6hqtDcIn9FMLdIP7K58E5AqEZWg9xVt6mkZjPYnPqeMCqYbCu0xqcVLAVoRUol0EhcTuxAwu2O0XVOELduTO1qRYTEciwlegyWR1RWZtBjzlicbSeEMMhh0AmkGk/yZu6WQGmMmiP5y8FUKhiaraEWiwXOSJZAKHxV3+YLSR6YustFLnIw4saGiJxHRKpG1t0PCYHFKrQLYwNFOUegSmYMsb0jJMvggKNYTQQiC5VZS5hkyaeLWE8vtwKqvW6RwRFVixSlGN+QSVF8MVheqw+ZpSH2OEtVKCCVRaOLEYFyLbBLojJDUYNdRRWTTEQXYhUDVPYUTqGRIaotVArOpEGWJlArZXVGEHSFatheRsm7QVxLb7eA4oY1BbhNRacgV2guCyrGZRsVuuEcPkhstyUyJiBk3aITdUdHRK0+fNL2T9B7qAnIteNLs2GYdjYg8vplSTnqSsaSspc4z+nzCwilEaoihJ/MGbVuEbehm5ygis9aS9R06F6g8oDMHKUfHBUn1tCKnIeeEJXG3Iax3pMUJ6BJlOhrXsBMdu2LLx6+P0EGRJi25tewM/Gbq2TyW1NJib2u+6Y7J6HlcbdlR0OcOU3RUb0uqCuzRmqPmiBAqdnrGy7srklPY3Yx+1YCH8izHZz0y9ZxceVJWYXTkMipuvaJ0OY+cQW0qOgouH0kW69fYrOfFk8BRMVxLZiWp+0DKAlXpyDantF1Gna6Y/G6FrD1f/DRxXmUshGdS7bhcrkmm59PrjO1JhInD/vSKMtSYzJOfHFG3gdiWPL6e4MpTYpL82//0D1z/NOd4WXC0OGOhTpiIGctPNV9VFau3ge36a/7Tdsv1TQ/mLVJ16LnjlLc0J1OQBc/WJd0WnBW87ed00iKNI2/NMGkkPN5sqFLAWM9uHTE+oEJP0FtSnqOzY+Y3d1gv2Wk5TEB5jRQZk9YQZInOS8wK+i5hU0LfQcLjywjrhNOWXrWk40SqWyZtZBXmCGtBWXjkcY1F1/X33if9YFDqD7mR+0OW/9z+Dz9EPvdDZqP/mCUxSFYOd+YCxFiMKikwRpGP7Cgzshf234siDcXWgzQ98cAPZ58Y9v5N/R96U/2wfb6rYPquoujbPgscErz27+2ZEYI9wDSwKGJMQ/E9gk8pDSllQ6F6n/YnhcDoe2CJEeQwekjc2DOl9mlziYiIafDoGtPrhuL2npGkzQBKpZjI84K27w/Fa9xL0UYJ31DkDiDaPmlPCkFSAyAmRzbWfpFiABKGczYwMfq+G0CgGCmL/ABs3LPLhgYY9t+PoBMkmQYvHhgkcikd/G4OBs9qn1I2sjjG17339yyrkbW0B6X2xfZeYkdK+K4bgL9xf0IMg1xn/I4YE9X8CEh57wZQRkiE84PvlWD0+jIHg/77/iOBARDZSwtDiIPfFvcAzX2bxEP7pQOYZ8bnQ18woweVfAC8KaVGtsOw3YHtsmduxYG5pQ1CaUJyBOcPjDKGs44SEmMypBiS5ZzzeD9IJLM9qLo/33tZLPf9a8+APJz/sAeNRslnlMMNmxnkkFprlNgLaQXOWVIapKc6G8y8pXNoqVBi8LqSI3CXEgemj5LyHpQS4gCSC8a/QmCMuQdfQiQEe2BBSYb3w94TCxCogW31gK0nYkLoQZboYqQfTc5TjAezcITAjyDdAVBNI1ASB7hkL7Hdg4E+BFIc/unx+kIMQNh+DEHp8bsMUo0UiQzA1/6YD0BTjPeSMyEOx/3+ktL9NfU+IPVDxtgfKkv7EIPofUna+yyrPej0fePvO+/v2bTstzeA62lkMw79Y2S/ComU8ZDeGWLk7d2Gy/WOPM94cnbEn3/8nLPlnPPpUy6vV7y9XWGDQ9xt2bYdtreINGx3YOkxYmDvyQkP8Oifbnn/d/t9qeQf+v1/zLJcD7ObTidUGwbjfmNA1aN0XUA9aHC8EsRtM16vltI3OAJJJQrvQCSsEhyHgo2ObLOeiYatz2nWMx43NbuJ43a2HrxOioibRdKbCb0NtDJg8oSxiXlIXBZrsjBjYY+wqSEqD8YNbpIxkftETDm9iWzznkVd0ueS1TSS6JiJwIXrIZMELbFHlu12QtVqjnc71k9rrM8pXp+ylC3JOG5LcOsIXiBlSTfJsfMW8/gW83eSYpOxFMe8SVt20pOXim6jiTKiTtcoIPNwEiJuotCTnCfzY9JFR4iCpvVknziYGXav59xd3OBEg3xZY6WnkImjPtKeJ8gl7c2Suw66HVQfefQLQbYTkAWIDpFF8lNBNskwSiHdLZs3irBV+KXET9f4ow1Z6LHZkiDnlLOMTBVMYsavpzWLTWCyFqhn0DYZdT1jepHh5zMoc+af/w2vnOZtM+fPbIl7LGlOA6xralnwVuRod4TKQeQ9VQxM+gl5nyOWX6OlQ2uP6UtU3SNqy+ZMY4SgChIzrdBNT9pa1maG0JKClugTOkWkSNwtKqQSTLCoaBFYYubwpsDh6cQdx26HVYHdcSJHoaxE1jlezZB9RHYKlhMElqzf4I4C0Q+/X7Fcgu2R7o7MT8GUxCUY3yMtBJfTTCzaBBaNIk48KXhSl5BtRIVA1gTs8oSYS2TcEMqGGNvB08cFhEykI4/wJdrm6F1C5S0xl4TZCcELZAyouMXLnKgS1mwomoRqNfH5hOI6QQhw4QliBbFF+2P81GClILvzeG2IRqNyBWI6APj2bpDzC4PyBcG0xMyj655YnJDEFCFbokvgLbmTKD8jhJxG1EgXUFaQtUAe8SLiXU4nPVZ6pCiofMU8GuSixqSACB1OGXqtcKnAOIGPsAuORTtDtBbtGtRJhxWSPuUs5BwvAg6P2cxRxRtkccvFVUGKOUlkpPG+TkhBkW7IwwLt59BbdKeJXcXdeUYtEk0UzE1AJIkPsDYVvvBkwbGVEzwtKW2Zph3IRBICbUGGEtkuuNMrdBeY1hqTGURmoVrjQ4I0pOduK4XsBSfbRKEzkhf0K0tYepLypJsOPQEvFV2YYozHIMndEkRDTA6VjfYPXiBbQBTD/Z5JqJ1CxkQIZkg4VYlYSkTrkCRsZTDbgOoFWdR05zVOSeLmDKGmSJmQ7Ssy2+B1YPNYYzYWuRMEb5FTjVIRtolwJIm5RnlBEhqvBZgeGRLRKTZlxsxUyJSxkpGlDZSxw+UddazoUkYI0OcakUvOdpZGenoJZ3czgtD4qSAUHV2hqbOcwmdILIkdmU0o35KixeUnaOsou568c3gFoQxoAjKUxDgnqhe0SeOCpNATdLeDdc9dUSLkcF9vG4/VO7xZsbh+TJpAe9xR1JFb5bk2FnchCVtHulvzulvwiI5H1YYkQRuHzjtoSjLZ0YstuXtKkSYoVXK3k4itQV9W1B2IqaA8z7HJY7ylutvydPGYziRWKN5uFLOoOVI5sjHUmeJqoZnfRFweuDqP5GRMO5BriZeemEeyMpDWJTFJnLrh7NVbRBB889MjTstEIR0iW/PqdIsMkfOvKuK0J0497uNbJjcOLSRqNiMpj46S066iPpmwdTW/+fpr2tmSM5b8+PkpJ5MZ80Lx08WEn6qM1WXPy6871r8JpLYm2B1JBUQVmYVbuglEBRci480OulaxChOk2KIk5B5Sn4hEyBrmLlD4gPWSPEYkjm6yRZoFmSoo+hXXUrLRkhgEKgpUkKheU+UZ2uSYtWCbBAEJ64ifRlLuideCoBw+b6kfCarQU7aOVXo8SGBlJF0kkA7tf//++vfuuX6ofG9faP3XDEr9IQyn9wuEb/v8H7L/A8spHcAUOQJReymPHg2Z9+yDMN7II0bZSoK94fhQbHw7a2lfXP0x7ftdx/7+9pRSh/cfSkTeb+u97CrTZpg1HwEGpQbWyTTLD4wbacxhW0IklBjNok1+MDlW2hykfmU1OZhYjwdPDJ5MG/RojN3bwfDbOjskpOU5k7J6wLh4yGCLdNsttuvompZdU5NiHJhZagSIQkJXFTrPyavynqH2gHXhvEcbjdGGaVEe2EqSd03EV5v1INVKkeVkTmb0wMI6kN+GopGUDoljQkhMkZHE4DHl3eCBlVIc5HDWQoxjquEIfGo1sMHiUPrt/+59c/aFtjF7sG4AFpLgcBwD6yIegA60OpS4Ug4JiolE7yx5lg8gRxp8rhCDHDMrcrIsoygKrHXjse+L/kBT74ghjUl4/iB1HEDJff/b939xuK5SGpLkvHc450ewZOwXKRz6y54JNqQjhgMANkgJh37a9UM6oXcOKcBoSW4MpTHDMUo5pLO5ISFQjOCjVnt21EP57MCs2+5qpBRMigI79sW2awcwaQSfDtePlJRlidF6HB+GayPPssFUNY3XpRjSBuu6HhhnQqJNNoCvcGAGHRYffm+8kEqNuY9Dm5sRDEsx0dkeHwJKSqaTKVrrQcY4rkerbPStYmD87c3KpRzGr5Twzg7AXowYrYgj+JZGppQQgjzPsdYO52RMcZRS0NvB6HxIiATGhEwlIcUB3TBmmOUXAPLe+woh8WnwrNqDsYkH6XhhAFbfYXE9YD/tQUNr7eHx/u/+3/vj4vtA1UO26Pssp29j5H5oHR/axsPvPpRNP1weglYP37tPTOXAyHw4dks5Mg3FeA59GOZSUhp80sZzaOPg+WeM5uJoxqcX55xMKo4LRZ4VtL3l3/7dr/j7b15xtdnSuTCCw4NP3btA4Lug1B/DUvq+yaQPtf0fsjj33ckx37Us53Ocn2BdBWkH0xZmHeW2wNsJzlWU5Q0hTHFuTpm/RvkeYR07dU6WWgo2bC8gtBWsZ0wBjCMUHe55j6wV6jrDznOiKCBNyLdvEGn0rIsSX3jc3PLZ+hFFr9F94qt8hQ6OI+f4ahLIY86Tds6bvKWPBc4eE9Ka2azl2bOaq+1HZE3kbHODPO+pE7zaGmJ3TIgaK0D98ynCJeLf1Xzys0tiEHz121OKfA1lR3vSI199hLQSk13hPnVMp4k/M5HPf5MRm5LPijN+Vb1gU7WoE4n/KqDXmtPdCcVnK3JtWfwWzs9/RlEd0RtD/Istdua4/kbx6AhMFXiZ95i6oLIZn6WSv31Rsd15fjH5W1RVEdyEy39/hl+s8Mc9/X+7YPo3c8q3icnpvyH0H+HSGTfHC84XL5iX17hQc/kbyeYmI/vsY4z5GqO2GPU/0c9eYcsVq+Yz8tcKfSW46lrEhUKdBir1V+yqGUEv+Z/+7mP654r6meDrtON5m/Os1xTT39JdQneZUbmfsP3shvrTO56FfzkAmiow+/o37LIL6skzPr1omKSG0rVw+wR3ssE9vsWop8irHvWmRj2bEUqHzy3Z1VPqyrE63nJshpCMIA23MTJPnvPgaNIzrBI448hsDVESU8bxmxt0JuGoAl+hRMDIjm3xmE5CLXrm22uk7Uh9g28iUUDMQGwegUnIkzVNVqKZMQ8XrPIvQNRUBIo7DSLHzueIuh7u2RZLpLcQLbgdLp2BFWTbDV8et8Q+8Pg34H9R4ReJWu44fWVQsWDz+JgortCd5+jFkuvHPan0XBCw8QkuZdi0Ir/cIJ3CnX+Gvvoc/Br/VCI2IHuFiSW7Y0UwkcXtBq8hGI2bnJHveqSL9JMZZneDdB47+XO0/hIVb+HrCpEfI0yJdhuuzte0U8ej9XPW1Zpt2bIzM06CZBLhOtVDsq0yeI456TfMXMuuPGcqElMJeWnonKZ1il1uyW1O1ud0QbFWO3Zqw7Fd0YlIj+CR+xlKbEhizbqoIChEkLQUOLPB6zUndYl2JcJV3JqMrb5ip1+RCcuxu+Csf4byvyX6HBfm/Or4K2a7ikc3x8jzNb2GRmjeAIQKE2Y83v4NIi0I4lOmx46dueNSveTjF5+gvMNzi7pqqedw+7Hi6T94MpXB6WQIZUgd067m1/EzeqPQVYONO8q15+LrSP+8wITI/LIlFBqICNcinj1GFhVZLKBKyN6Sv1oRz8IAOL5xBDUn6kQodtAcI41GP7WkVcKhWR0v0KIj6x2zty2xnxJFIsxvuDnSpFzwJHn83XNSPyFpj1m+ROqOtFti0zFeKHz+hqKYklTibXiBwGCQnBDQr+fItoQLSdq5IRr5+JSXZstOtVzEGtkapBNUZkvNBJcKprbAK0kUmrw54tXkd2zMio/Xv0A3d4iwZvNkQ5YS0hlevv45Zv412eQNi7sJu8rTFYHTXYHpgAAvn/YgclQquWg/YY3hTkRC8W+Yr2C6yfji6SnHznJiLX9ZTjlpHI+3PW69o82hyxUXXy15eSL48hH84q8zam64zt7izz/Cxpquu2P9lxdMMsfyuEZO37JzkdtOcuMMRexYpB2r5+DfHMHfPebP/s+/hlCzu+759X80lFLx5Eiz+5Fmm3bcbi75s/p/YDbzFM9e8G/+44TSVPz02Zz/7fJfoW8cn3yzYE7HZqH5zcdTdr/uOTWJ/+5jjblYc2Mi/yEonhYXzLaS+W9qKqXwRxU3f3bOUWMxdYu8vOFIZbhY8aK54Pyzt+THCc6PmdctIgi2asbFzQTlHevqG6L9JUEKuum/4Zv2nCgMn843/DvO8crw/1js+Ml2ylHKEcuCInPE6Hl51fH/+n//FX/zuyv6Licd1xTG89MryQsuWJk5XJRUIqG0pT57TWpqaMGsnvN0d0VBx69+cc7ZV3eUm5qvPhU8dYJZEvzmOJLXCbUV3L2Y8eS5ZX7s+O2NZ7k6YdJMuS2uOPZzqlDxD/6WU9myUJY3WcECz1wl9PMZtyvP3V2gaTJMFjAm0HYTOG2RJw39X/ffeZ/0TyLf+y7PiIfv/1MuPwRE+iH78Y8Bow4Fyfh87xeTaTWCKIOfkZIDsBNG6cl+VjnuQScxGsQeSFb3gNSH9mVf6P0hy4dm5/freX+m/bu++/DY3388tMX7c+GDSbmSYqDXxiFhTymFkmqQM+3BK50N4MbBp2RgM/ngUSgSAqM1SDV61ow+MmO7a6UAgzHZYNw9yt/2oEYkEYPH9z3Nboe3dvQzGlhIg+fPINlCjKAf9wVeikPxy8hqCaP/iBxlTDEGSKNsUCqEHNpmVk0GeWAKGDPMlN8XvGPbjZ5K0QfUWCx6P/g9pTSYeg8ytoTRAwtMKDB6NPRmSC1MkcGIHQbmyXtF7h4MEKPPzN5QPqZE7xx78tShePcDAygBRjOwx5QiL0u0NoPBow8HYAB1DwjtdrsBhAiD9M37MDKtBgmkYG9uft/P4ugXNgAEgyxrKKQfskXEyHxJwGB8vvfJ2V83g3Tr3lRdiDiy8gbAODMDO0nJoUDfS0zDsIIRnBgNTvd9fDzvERBpkEgqKYlxlF2yZ4MwADBhYNWVeX5gEIYHrLC9rCqNDLQUE0YrstFDaTjnA1Ci9+wsIYjDADKwkEJAjMmWB/ljGgzktZbjdZ7wKQzXwp4lN0qH/ciOCTFSty1KSnzwh3ZOMuJ9HFlw8eARFvcMrLQHfeXgXaQ0xDCk78n3fivG0+e8H8BShv0NA9FtBNkG2pmPe1bg4F+klUSq0XA+7WVrHMBiIcQBgNqDUIer6z0W1IeYNA+BpR/KkHo4fr7/+YfgyHexUt/f/vtg18Pr4iHwdA86id/b1rtj+vvhFSOAHMGLiGboI0rrg4R4oP4NkkrJYO0VYuRmvaO3gSozHJWap6enzMqCP//5j3n+5DGr3Y7PX77mzWrDru2w1g4+c4zmvDxkb337b853tfsPnWz6oev7Uy7WHw3BBbGnBJKXJKtZLD1t09HsABI6NehkmXqLJ2EzgxaWVHhsJTj1gjYq1toQRUMsLGHiCdfHg/EoHdmuwSdwZHgzQ8Ue6VuckEQjERVsVy0tCqGHcScrEmaROKpnxCBZa8s0eKZFS7y4w24bhAisVpqm7miTJ0wtop4TQ0T1O1zKSQmKeM2ia/BechUhreYDK+xiQrm5I3WC9uaI40VNEUCvNXdve+Jt4mtZsLWWpGu+yRVGJeZO070WzNtzsjyn+CjyVD1n4hNcrKgfH7PJjgg3krMNGOd4uVasZ1tMckjnaOIgFVx1p9TSsy0Cn88/4pGy5DrQ/fiaeRIooXn59w02ZuiTjCz/ETEt0K7gdHNHY2FbTFmeK3TmmeZQTVbgemKb2K2gfTYnaMPjS4m+u4WmRs5mdH6KW+dMHgX6vsU3Cv+sQWaOYmN5NJFMtpawUnw9KfFLSywck80lbeForWF1uyOfCPJpJC5OmciKibbEYoUXHucT+tUOuevQm0SaCWQSGAFdIUnZDKEMWhoMiSwU9KojQ1ImyVlakDOMpzEYdFIYPyXbZODD4PU3fUzIxBDCquLI4i2wMhJJZDGSbhWxgxQc1DnIHIoKVbUI7Ui9I09LlInE/AWVz0jJIFOgKyTCJtSrFtEpQgXrxYqJFSgvEH6Gat0wNs0yzkxLTAKzyJE6kRjYtbZaYFxOfmtJHcgEbtISlCc5QbwskdkGowHZ40tFqgxJWtRcIn2G3hWIvEXoiHgZUTNAJ2KnSNNIVIGeNbqTyE4iyoZURlKRyNpvxvutJWnGwKSKHeGkQes5mc/ZlEBKVG3EyhqVjpBigpZzKucouojLSoxIBJORuxybB26Nx9kdMlTIVBDDli41dDKjC0dAZJoEvcnoEVgUIrYk70gR8lwTAJ8Cvb4ihgz8GVHvSKlHpMhKJXTfcrFSCHNGKTRJXJOalpQCQgpOwwkuC7w9vuNRlg1STjLOieA0ahMJ01OcSnTiJUpMUFFwmo5ASRolWWuNUgWKxPJWICaaPpN0ZcCKBGT0umJqa2atwKwFdqZQSSFLgc4tqguITtEdS8hy8nhCnfegt5RYqnWL7BIxalSTEbSkPVcYsSMKaPQZuXQgHMGXNEWgk4GtvOLkJmJ8Ih0BO4m0ErYVc3ooPKkEEbbgPakzhGpKTAWiUYiwQ6hIV/R4H5E+Mg9htLQQ3JqMxcxQFApvIMw8xERuBVpptDI0MkOqKSJl7ExGGXvK2JK0olfgRU+pOnLRUSYQzTVJJpLJKTrohcImwTS/xDiL3mRQOXqT2EXJ+U2FmEjSMpIrj04GnTJabWlERy89S/eY0kdMSCyTQijNOoMqCYpaoW4yXh8bvBmCN/oTi8wcVe14c5Qh+w2Vb7kRFt81pJs1nZxTCUHlJbpydD7RCc1RtqFaaeZvjwj2mrBeIeqel72DRsHrguflDs+EO39E9lIh0ITguDsJOGD6uznlUYvONBspkVlJNispHp3RbL7EZpoqO8b5L1C5oz/OkKsZmRU87xK7n0rsLBE/Elx1S/JMcF6/4nKT42qDaZ7QfqJJBexsjSgck15z8qJk3U2wGawfRaLsyZTA5Z9R7wqCsHBRouQcE3KEFxx1Bd5C982OfzfRqDJxrjo+viiYF4YLmfH//B9/wi9/ccHNm5pv6oa7uuXm7hb8lsoH4maGjx0ud/BIIXdHyLVA+C1+DjHXnLcbED2NSai1AZtDlBz3W1o7pesLQLMTBR5PvrnBh45aD3VNLXsskeQVzVwSK4W7PaZOnhgcx5cS30u8jxyLFhsLrJ+gVYfoE2L1/ZDTDwal/hRA0n8uVtSHZoz/qfbh22QTh9cFA+NFjD5DSlHk5gBKDVKTkRkVORQIhwKaoQi+L64OZJwP7se3zb6//96HXv+uounblveLpA999uH5+NBM9qFYBlIa5DqMniZmlNhppQYG1SgVe99kOCFQImKEfAAShRFAkqiBEoAQkGfZAAQOezB69URCinhrsXVN0zQH35kwpp0lBFIokkij1819oShHFCfumQmMRWkIBCkJcTTVRiAYZYVi6BxlUY6fD4RRnhjDniY1/N37+MQ96JUE0QfkCEo55w4gmN6bgcuRuSMgpkDfB0iSfcrdXo4zsKvU4F+m9l5Po/F2GorWQCKMMjO1Z8YBxHCQ8ik5pPBJKVF5fi8P3Kf1xYgcmSZCMDJQ9m04HIMbGWNCKJQCI7PD+wMQFYghHsCsEPYMqCGd8GF/DCOYeN8/4/2x71+XEjUy5fZJhANLRB8AKSEH/6wYPG700dqzR/ZyuP02hiL/QR8fQbDhmIe+mxhlgzGihaLMhrYKozxNyCGx8SFzZQ8ghhDIxwRDO/p3xZTQo3/SXio4bHpIwRGjn5QxBqHV0CYjUCVG0CyEeJCA7uWxg89XHPysQiSl0eAeDtfsXk6bSEQhUIIB7CWNTL+B2TSAdmPfiqOMVrw7bu29jkKMQ6zwg7EhpgH8k0lAFDjCIUkwxDgyL9VwXaTRt4p7durD8SrG+HuD6ENgZ//8IQj0bUyo+/N+v56Hf9/3nXr/8Q8BWD60rffBrA+BaO/v1+/J5b5lXcRIGNFnIcUhUOHwW7SXWKaEQqDG49y1PTfbGlJimms6n3h2dsI/+8mn/Oippu97ysygvn7Jm9sVd9sdgzh3WOXhd+5bGF/f1S5/6PJDfxv/lItPFTE1QEMuBARJ6jXlqSUli+vi4C1Jj5I1JYlWK1qt0aknTANuoVm8FAhv2GpDNJ5YenwZ4M0UUg+qJd91yCRwMiMcT4ZzaVviYZIGtskhhIcMlIjIQiCWmuluQpMC66zhce/JjUefOXYq0jSK9Tqjsy0pD/SzSLyeYZxjklYkZRDKk7Nh1imsN1xREbdz0rRAnJeU20RsBXRz5j96y1REzHqOWyW2EV7FjDhxUHisWnOuc0pvkLeRE87IFwX8+JbzqwsmnWT7KHFzXlGLArEWnNcZeSeIG83Ob9DRo1twvsV5z12X4YTFZ5EX5hGFvGVhtoSPtmTrGdnOEF9scI9z7FKT+o+RmUQKR7W94nNbcmunmDNN0h0mt1S6JnQB10raG0dzlMPEcHYVSO2aIK7Rc8W2L2l2miwDtQ5Q99gftch6i9jUnOczRK1pV4rXfoKYCfRpTbq+xZoC21bsbnfDeFgkwvwTpkkywdGYHV5JfJYhUg29G2RDFQPzOpf0pUCqkjwth5h7NLnP6XTEJEGBZioXJFEQRYaIKxSaIpTorQRniamj/+iEZBICh9drSIrgMxwDAyXvLdxKUj+wlEWnELJExBPU2dcIWuImkAcNBGL5lrJ5QvI5PkKziIjQM71ZQ5gTRGKbdhhryFyOiBNMu0OahDzLORYD69JNM6TsidEjAV/OETIju7pErgQoif/IDZ6cvcLdGHS1RmeWVEjsZEIwCilaUhURXiNXE8TMARa6iHISjCC6caJDJKxvKPt8MMy2ljiFJAXZ9jVBPCKqOWnSkppESg6OHKo/pfBzNuUdk1aQe0lXerTIkMwxUjPxOya2J4ocawReZahO0wlBp2Db91QpoyQgYo0n4YWmp6JKjjIFVjrHJUVIkiS2xOQIIZEFRZcCLnl8XIE/Rfo5aVKDchB6OumYW89iq1HyGMoOX24QLhBFTxSR4/gRN9mW19WaszhBxQITC5bCIj2oOnJzdkpnbmnECwr3mCrmHLGgU9CqxKo0sBAst5Gzy0RYalyeqI1HpEjAYPWcY3dJ3ieyqwpvDFFIQqkIeYv0EbzGFZAmGVJf0KgvSNIRZCKvb9GdJIozdJtBZejPK1TYEpOgl0tMeIMKiejmtJmn0Z5O3CI3Cp0U6aIYWExJwa5kSoewgSgNKdXEZKGdEroSkgTXIe0OoSw9HucsJkaWcYBxnUzcmpxyKjFpAAi9CaQIZi0wuSJLhj5lCDEhqYJeC3ToKeiIqsCphBORpFsyESmTBHtLLCeILCPvDVut2CrJWbnG1BHlcvplQ58EvVOkXY6fS+I8kdGRpRyTcu5MTU9PTI7Kn2FiBOFZYmmEohEw9ZGqlchdxs0nOUo6Ku+xS4e0LVVb82qRMWtqjnc9gYbY1Yi7LTbriEqTBSiMQEmwQXAetlRxTrmZUfdX0G1Q/pZ/6ErExjB7U/Dx0R0bEr+1E86vEpkK6HzOZmFxW0n8uiL/xRaROxof0KYknxrybMlGQJdLsmxJZSw6b2kXkfTNMWw0Z73n9hNFN4tkJ4LLzYJF7Pmk/h3b9Sm7LsekC/yJRC46+vgat0v4RnJ+o9jEGfU0cafXBN2Qi4Ise87WJQKOTGVkWUXmS5RPnDUlYeuwbyx//9zRpcSPXU2an3CRVTyf5PzLf/GMEDyXv3nLf/iq44s3O/72pqdoGnLn6baRmg4bW1QQqO0ctVKQfYU7zvCTjNP1mrsUaRWonSLYAh8U83pLHytcmiNUT50UnU9MuhuCcHRaIJG0uqcWPcSKZipp5xpupuADMVmmtw0+KRKaudixRtNQUOUbCIm0+f9T+t53ARD/1Mu7BeK3v/+PXf+Hnr9z4zwWWJkZmD6Z0cNsvhRIJfFx73GUDsk2e2ne++uOKbKX63yXRO/9dv9QofL+8n1yhg/5lbxfIDyUKu2LyIeSof1zpRRaD4bYWmuUNhhjyI0hk6NFcRpMzPf1T5blmMyg8wxl9h5B6p19EmbwjzImQxkzsh+AFJEpodLAGLEh0HnHrCrJtCHThigGE9XeWlzbEKzFdx19P1AM5QjqpBjxLlBkZmBdJAb2y3g+s7w4FHbGDLHF1g9eRFIICpPROYdUiqqakCmNYDQUF2Nw/T2lbkjrc26UKN0zPPzoYTQwSwSZ1qQU2e12QwLgaIy9l2AN+z6AOV1nD8wgAB+H1LG26w4pawNrb0glm0yngxcXg2fVkIg3MIQGcEIMTKHxnOg8RxmDVPoeRBuZF4fHYki028s598fW9/2hb9lRaum9f0ce2tueOBrO99YeUhaNGdIFtTajcft9f97LrJRUBxngoXuMYOIAzgWM1vumGQCdkbkVgr/v92JEfWJCMIAbMY0pcQi0VO+kS6YwgG1N12KykeknIHlP8oE0JtzFNKTF7Y36TTakQWo1JDv2XTd4RckRzEyR4Pwg+ZMSpCQQSWKQ4/HeWCTFIA8cfKoG5p7c81ISNF07GqLfR3oO61WkBM5ZcjOAqftzBqBHD6o0SkHTyBhTYyJhinvgaGB+7qW5h3Yevc7240xMiXq3O4wXe3BxMMD3ezLV4PM2AntGMvQ7bVDKHFiJ+5TBAUC8T03bg3sfYj3tE/j2kr2H390/PniZvTdmPpSiHcAv3h0z3we5Hi7fxwz6tvH8Q+vZ/3vob/bwsw/l+A9/Pw5j9wg+7r2f9tLdh8f57jGMwCvDrEn0DueH9MjM5Hz89AkXx8f85OkjZkqAd7y6vuQ//PYLvnp7zTfXK6TSh+CKb2uD73vtj1m+7zfw4fKPke9lP8uJtznpNmNSOZYRZl7wRTIIHch04InNWM8qro4KZPENiIExu1xFVD9B9HNumwqSRAuJ/fEW2Xbou5b+I0fsItwFFitIUuOyHITAO4ntJedyC4TBVUR8RpzniMfwkfyK3uZcbR8R8y+H69LnlNvIwhkexSm//VlJ20ni58DH3zBxkvPXp7xigpctmXlD1z+GhUD+bEe8BDYZ6WbJT06/JEwkv5s+5/iLL0gd3BTPkcdfMy88P82PSGFNVweuvjbcyccgIkfpS/T/8Rcsj6b8N13NJWsIgo92j3n74xWbmeXOZdy+9HQhIJ/Dp3eWo22kuJFc/ULTmIL0/3nMR8ZSTR1v/nnH8vMn6Oucy/5z7n4qEYucv3j5EV/uatayYf4Xb9n2S3w94/jXS6rPNNlRD6//V5qjT2iyY25/84qNGYTS//zzOTPt0BPHm/8+YLcNYd2TXjman3yCf3rGs/WvmPUa7Q3/aTmlWRewNvxfr7e8OlpzeVTzs9M5q6xkIyseb3/MrLpjWt0wFxXqqoKbgvXpDf0jiztLzG9/yfHUcDQTuEaQAblIbCavEEqjZclCVjhpaWWHzwUTf8TCnpHq9QApS8PbkztyMWeWLjC6wydFHzKm2y/RSaGYwpVlM4PLx5JCK6pUMAsz1pPfoayg3Eyx+iXiziN/J0iNQaiIqhztNEBZIuYnkBtks0G9+YpgZqCzoXhubwe2Q3bM1ZMNQQeyPhHEI5AZ5InZdooSEKqGardGiRY5bfH9jxE7if7qNeJpTZqANxNCPMFLaPPXVK/mg+m/T6T0Bpt3XH0sOVsl8qBo5zPU1iJSRJxIirVDhgy//BTMCmKHvAqEuyPwAvPoC5zTeJ/RNUvKxS1GNfAi4R8dY5cVd8vEIhxT9SXF5xtuHuW0M8VRH9FyjaInrWaEypMyAeEZYpJIRaCJLVJcodKOafuEncrZacml2HISZxzFCXmAznT0uiP1a7Tq0Mph3BkhbPBpRyuf09FjU8Pjt2vqMmdXlZzYY95Kyxth+ecvcnazwGoZeS4fkfkG6dZYlXijGt6Iml9+9Rg7Ldic5pyJyDatuEnXfCTPiHFC4ydsshVKeXIVuEtvqewxx90nrIIH8wadfY7wx5h4RBEuuBQ3RBnQUrBOXzB38Lyp6PInCJfIdw0prKDoSMuOKBekTpFuIur4HCESdFveHJXIHpavPcSX7CaKF88u+Gl7jZIld9WPMPYLMtszbSpEn0gyEcqIuT0GEn5xg74skUnBMYiJJeSJupJkCYwTmJUGp+lN4vWF5eLWUvUCUsmLxRZL4PxtDtlTYj6ln0Ym6gVJtLxhxulNgfbw6skNF7cdlYvsTiuC7EgyUJEjL88R3ZxwNqMXDTH2zLY9d1NDV0Tm6iV3QmCj4eO7Z6SsJBhDqwImbtGppks7ypsW0yR2j/+clWmppaXsZszdmsJv+G12SRUzyqjo8rdsdEajKubpR5RdTm4F7ezvWKwss1Xg7UlGo46x4oinqkHfJdRdxKuvkWYB2Ql/fWw4rtc82t5xLRfcqh03es0NT0hsUfGan726Q20Cfgd/fXGBC6DawJ/fnXGlJb/NAx/v/pJdUfJ2fgHqG843LR9f9fz9UUN2VXD6qyWcLGiC566tefSzS+RCY+dzfqWAN4LZ3wh6fcFEOi7UDf/2IjDNIv9CBf71iWIb5sT1c36y+w1J77hadvR/afFE3HN4rv85503k05df8b89+yWrQiL5hp9tz9BTw9WfRf4iLdHK803xijVnTOrAL796Rf/smLoSvJArmhRIckpV/oJ/9nLKvG3o+A80PB4mEE4a7G8u6FrF7cVrptNI7nqqf3jBv04Tukrzf/95z6NPnnNcHfPsesGMhPSe69sN/+rFb/n8zVu++rs3XD5J7GaQ6oi8+xTZTTHmt+ThnCLmPEq/QaDojeRXH0v0rUB1Cfuk5/huQtEavjlaoRuD8gr3Wc/i5SmTywWKyObpDfXpBhchvpnDbQknb3lclxw3OV/nHcKC8IqdOCedrZDHdzzzkWar2e0M6/X6O++T/otK3/tjl+8Civ5QEOoPkeXBu8XFQ4BGjYXlPk3vUBCPRf6AWY20p0OB9i7AdNiXyOEzD5eHwM8fwor6NkbU+9t9WNx8G4Pg/ffeT6566Gdy/z0xVqVjEhTiPro+hne+n0i4GAnODX45WpNJdTCxFgiiiKOkTRJDPDSm3gMAKSGVIhsZNUbrA8MoxITrO2xdDwytkXmzZwYIxKGADXvJl3jQBwat1gMGwbsSxb20LIlh24ysFzUasgsxpKWlNEqKBBAFUukBBBrZIIdzLsRgFr1P2htZXHmWHfapt5aQBvPvGMJ91xmLftIAdPoYDubbMUQ8niQCSIlMid67wUh9z3LRAqkgdImw32cYYuTl4EtEiMQ4SgljGNhHcmDOJARJKwZbrHcBgX3febff7gGBvQdWPLBg1AiYCMEIUv5+IbtPHUsj6BTjaOA8vh5ivDccHw3q93310L4HJhfsvd72+6rG/hnTmO62ZzgySNlCiiPTLJHtATMxzK7qLAeTSJkZUslSwkiJ2IN8I2g7mOiP14sYGVaj35iQEqHGdaZ4SJcUY7/bd8IkBEmKg9cTYmDlpRFYFAx+X0KMHmJ7++8wGMbur6GYIiJBpg1h7GuC/dA0ShpTOkhDD+NCjIdrPaV0MKwXIjH4+z+QuT2Qob3bF959bfA8g4jAR4d3Frxjb4jKCHR9aMx6mKL3cNz8/f73YfDo4di3//shv6iH738bK+p9wOp9lu8PAUren4zYg5fAyNB7d4x+uL/vj/f7deyBqTSOF/tghPeP5f75gz4nhvHLiJFdReLmbkXTdazqHSdlwbTIOJlM+Rc//wk//vgZX7x4w4vrO+52NU3vxvU8PMZ9e/zwdvmhy4dYvv8UzKmzu5LWCbosMPEOn0puUoVUDSp5lHNslaS1gXSXkKUilTmxyHD9DtcrQi8Ix5KMjjzWxG0CG4bZ+6sZyvWYdodIkOvIonLcdRqPAmEwpcBERdUrrKpxIRJXE9bnJd5qwtaz7BIpBbrQ46uSTQahXTO7smSqYvVozlGt0L1mlwqCckQhcP4IpRqkSugYyaKHZPGpQzY90guO7VsmPh/6hbumrhP0gl7UrPKKKCJHzxvmZQbGIPMzYj6lSDnFkeN0MyFa6INjJw1bYWianHLeUiSB3x4j5RUpb4lW45IApXhcJdqTnF2pEZctm9AhZon80znVsSHkOdfPcuz6Bt1vWL5JrENHZwNHbs12dcraG4Q/Itgt1res304xyxoz7bn55I63byVxqzC2ou8bgnPMjp9ysl2Sf54xx6DKBSGbIC5fozpNshNePu1xaCZ2zlsLPQGve8TsErY74k3D5acglwptDDN/QpY2eFEzqxuUntJXBbPVGmEkqVIMLh8OJ3s2IkP1CtNNSIuKoKAxt5gp6KTRSbPYLFC5xkx2IFqsgI2ElB+RJ0kuBWaxIysUC2nImoBRPTJP9CGgbaJoNpidhFaCdqQygIwk7aE4JcqctBUokUHKkJkklh1J+ME3ME3GeyXLJCyIHtSdp19KUKCjxpmBsZ1vtiQTCaokpmO81MTC0zwWVFRIp/HlFBcbEp4yaMQUUgb0GtnPkMagZYvsNcIJ9KJDFpKAYo1gWRoyB+nuLWnek0SCdYGgAyNwu2MiCiJkdgskgtHIaYfYCZTTmFmFcgnpWpKGMjiUtzSmoWQw3t5WYPIcqQ1ttiUXoPtAsbpBlC0ij6OFhwMHZ82OVDjushqJQqMxUWN8iXAaQaRX0McZfZrixZaEQyXHi2kaZJtxgkgNM3qUdOgqpzCwFBHdd0QUTi2Q2StmoiMSuFwmpPGoGKmNQ1jHUZ+h1ZZOJnqhKLzB9IHCdUgjcUhuJUzTFSp4ZP+ES2VJwqGomdwk+rxns9xiiVhR0Js5Se3wCLpSwuYC4y1F2NEKiQyRogvIPpBMjjcXlLKBvMeftURfEYwmkwLljtHSkCeLDkcID40tMNkKqXt0FggnawKJPvOEc4F2iqWHtc6JJlBGi65B+IwoT4mTFmTH8bZGZXOCyRBeMu1qfBTE2TlK1WhVQyiRzoAIzIsNWR9RveGkrcgyAyZQhUQfciIJRUCoW8h2pDDFhICIiVhoStWQJUseIkJNiHICRYW0NdF27I4gky1ZsuiU004FTRbAvMEIQZkkVgRWWiFVgRILCqconORlcYxuC5a2oEwrtAuoEKk4wdrEtYzE5BDJI7mmsR2SHFlklFWOkw4nb5muphS+JomGpjhChMDctpRZYFfnbDbHvPGBSfBUfWR+a9iR0SbNqxyc3LKQdxTbir4rkU5xkmaIuuLrDUye9FQzRzVzrJ3BpYykFC3gbWB3m3hytSO0gi43TJs7nA/8NnToxWOK3hK2l5xNHWUWaSsP7o7MOx7dJS71OY2wtP4N20VLygXWC9rUQqeRZKjYYNBMRMbt+iUy9sSqZpkFsqbgZvuIbTD0QpLUlOPVFbpTQ3hBsSZkjtvNM5IsUVKwMLCdXAOWJ20NiwmhyLn5+JTz7TEqgHr1Javr19zqO/6/6ox/OdM8LRXmOOeXp5/ysXvEl7845Zu7jjfrjr+6vGUx3ZIta+6Up71pcK1HLw2xLnBJk8yWKVDZxO1VxHlHiBI2Z0QrISbU9R2u72n0GgmYnWUZYFseE3wiqB7PnG0SeJHoTxOzdWSy8RTijm3t6ILBxQ5tA7MfMKf3TwpK/SmZUd+3rn/Mtt4HmT4Ean2XBOPhIqVC6+FfWRboMWZ+byK8NxQe185ILBjXc7/tDwFOH5IwfOgz3wdIfWhmeP/63gj6+4C+/effL3j2f2OMB6bD7zGtYAQR9oli95KfPcYjxZgIJUcj75DQXiGkIgmBMmZkv8iRuTMyLcI902PvnyPEaAyOIB+BFYBIwnuHtz2urZHiPfbAqCbZ+/YMhXmCNHgMpeGAxgMb/tsf376mGqRw8p7BAqMkKgKDdIwR1BiMl0dPIQb/ohjjQWo1ku/QepApORcPW8rz/MDi6N0ASgkhRrBlANmM0YfztvcJ2hfmMSXYAx7jeeisRY5MHDnK44ZmEfg4MiP2JslSDmDXKJmLbgClGEGWKCAJiVADS2f42O/79AyP7/vdANjdt+v+/Git3wGj9l3s/lq+DxRIUg7g1gjgyfE8hhgPMssYAyHIgzn6YHw9nsu0v04Hs/k9uyeKUdq4P09pqA1DSsgwMOg08gCmhrF/RATC6JHxZBAhDqCUNhDcyDTSQwqgGGSFiDFxMAWIAwNOCnFgJsVxn/Yg79hdhnYTA+jEeE2JdA8ECSHHq1Acrse9J9MgJby/9kMMB1BPvD/GjNtjZEfFFIfYZTFKWpGHc7Rni0rx+wB5jB8Ck97dVBpBSTFeaDZEghsAyxRgD2Dtx7JhfLkfsx5Kfx8y8R4al38b2/d9MOZ9wP2HsJ8egkLvb+P7GEEfmgzYv/7wd2x/fvfA7HexsB629+99Jw2/V+8zw95n546vjoDgMJ5nmR6vL8+u3rHabvn66prj2Yyz+Yz/7sef8NHTJ+RGcjqbYH7zJfJNonObwbKK328LIfj9/sA9fvX7YOYPWz7Ulu+30z92OVqXSO2IxjKxgU3SrEVFpmu092jnWJcZwXpk41GdJqYCsgnOWnwvcSEhlhFJh7F3uNucFMbzdD3BRCjSDiEEmYJ5kVg5gdAKkzRmIikcaJdxpxtCEIRNxe68GK6dpmcuGBMrPfXJjAbPTmz4+cqSV7B6smT6hSFaxY3RRDnEPKc4xai3aOEpupwqBRAOqxpELxFOMHM3ZFyASiiuCb1GdpK2t9wezcmm8NGjlnyRk6qKZnFB/2ZC7hVi0rHYTvExcI2jFRl90vg24+gUtDDU3zxHziIh32JReG8RUXC2iHz+WLM1gtN/kOyUI84Epz+eUPgSm3KuJ4qQdejNlvIbiZAdMXUsRc3t1rCyC1R5hGhfEXxLu/sLyqJlMrFsP9lysypobgs+3pzQNQofJIvjc44uJxyvBWGZ4bM5Qc3JVv9AinOcUlydO6bbjKrOeBN2SJvIQiDMLok3jnDtufpMIWYFZpI4enlEniKkjqntia7CekPe1IRSY/OS3M9JYkufGnYyUPUZs3WGL+eEvKYzK2Q1QyZJiorp1RQhHVLtcLHDS08rAzr/OSBQqkEHjzEwFwrTesh6qDpsCGA9dB55rQFJzCNCe5CRqCNkE5I3hI1F5WMIh9aIypKSJ9aBKM/H34ia0p2AM7CypNKDDBip2OmAjJbproajjChzCOdE0WILR12Cvp2gvcFR4tQGmSyVz3FlJBYBYRWiniCFISMiXYZwCc0OTIFDs0ZS5GEACd5cE3IJyiA3M+TCggG7WyCMREiP4paEIYiMtLDIK1CNJLcVwjfE4PC5Io8O3TvezleoEDERNlXHRBqMlKyzNTOnmPRQ3a5gDikZUjYAxTIEFruWW2XZ5C29kiyZMw8VJmRgM6JPtLOOLk6xoSDJX6NTRJC4qhRHIWfiC6K4ZiotcxmIk0SuII+gXIPTFVaXFMoxwZNF+O0cqug5CpFOt5QeFnWOyLcEI3BGM/MVeQd54ykKxSoT3OWO03iDiTnJntJnb+mFI4ktZ3eCVPXsFrcIrwgxo5cTNG/xUrLL5oi0oAiJ3BX0skWFjtJFhHVEURHyEwrRkownLCwuliRhKJNChhkyCfLkUHFG8JrOFoiqxWQeqRKu2OAk9ELTl4KsEyyvJLXWJOVYuBZRC/CSVM0JExDJMb/r8Uc5wVQI65ncGmIQNCdLlPwKmRqy/gjpJAjDXF8jnEba0UOoMiTlybsWKAiAjjui3hB1IKYd2mtE0oRqSkYzACApQ8kCKUtioVFdi+jvsCKQhCclMHFKX2n60jEVbzGpQKSSPpXUMhGEZhKm5FFgvKAOiZOmZLnL0HwDsYboyeRfsE6KjY7MfY1MK6Ra07lIUIlUafJZRZ96Gr9jcg1GNYS8o8sSsvXMuw4tHGqT0bxZcDW1eN8PbKA7iTcZXTHhMl9RiDWz+BZjTzB9Qd5LlnbKxgpedJpPC0853ZDPr+nXhl5oYpnRiJLWttx1K375G0sw8PYikrdrGhf5uvWc9nMy3+Ev33L8cU9lOrbVhth0CC84bzJqfYKnQ7eXtLrDFoqV0HDVk7lAoSWIHSRF0S252V4iQkvpI7OqRfZLbvqPWFlLcpKJWLCsW/JNJN4F5I9W2Bxu4wV5slQpkEtNO71EsGGxgy0V2yJj9dGSR5enzDeJ4uobdnc3XIfI/3reU5xVxGXJ+fScpx894dN5xiM348lfbvndb7b8SkQWyzXFpOPGJ/y2GdQ/c433BcEqYEUlEvME9SphdSCohNqckohE4ciuNkR6et0TJSwaT7WV2KMFwa8JqsWnY7aiZ6sscgnSJopdYKruiF1GVxt6HLlIVMJ/6Nbo3Xux9APvtv4Y+d4fu/wp2U1/KPPp/e98W3Hy4NuHgt9oRZHlYxE/pGDt1x1COBR7jLPPD2+698XAfnlYBDy8SX7f0Pbh8rDQeb/o+a4Z//32PzSj/nDfHn7mQ+DWwyJtXxQ+lOEMrw1ypCzLMCZHj3INs/e6IQ3P1ZD2powBObA9pM4OEiStBn8ppDh4REkp6bpuOB+Z4WRSIhKE4Lnb1mMxq8j1PVDY2R7Xd/T1bjAbj5HgR++ilPAjKCIAiaQsinsgI42G0O8lEKosY++yvAe6UooDU0UIlFSkkXWikhgK+TSwxPam4Sh5D26le7+bTGsykyEYJFdp9AvSSh08ljrvMEqNbasOLIYsyw7sB2vdgXmUBvQMoRRZWeJsT/BuACGkAoYkNaM1evTi8qM0MWmFznKUyQYQIN5LtlLwEAefpGEbApHn7EGDh4yV9/vS/rU9sAAcTM/vi/p9n5IHQGsPIMYYR1nhIF0L8X79wfsDWW+QIw7n2+xZYSPoxthnpRi9k0aD9j2IFUM4sOJ8P8q9iAMICCgxJpiNyXleDEwiHwJ5UY7S1QwYjfQT9H4AWLUxA8NSDCDa4GkVcNYOcl7SwIAa20BrPfitCYFREi2G6ymEgNSDpLAqK5RQxJRo+ma4jhmYTN4Px+O8x3k3gIEhsk+mVFod1q/VyO6DIYwgMxg9JAPuuVpCq4N0sm+6A+MsKjOyu+QI9IkRPA2E4Mc2tgfgQQjxoM3fHdPu5XWj3DP4ERx+F5Ta+0s97G8Px7V9f3POvTO+7aV8bkyHfAhoPeyjKaXDZx6Opd82/n5o/Hz/+L5v+a7fte8Djx6+tv/3UKa9B/iVljzEhfb791ASKEdp7sPP3E+5DP8UI4goBBFB7/0IzMN8UnE0m/B/+PQ5MnnaruevvviK2+2Ouu2p2/4AoA/bezBhMJ7bA6T6JwKSvut71to/ap0Ay/li2FcJj55U7Lae9crT91PmqWaRdrzghCkdCxpeMqc6cywuelZfG6IfkN9ukVCOITI+gXIebS19WaFDoLA9dVmSRA6ipH9SMMt6zvUO5RL1LnFznWi6ijTJEOcZH/c3uC5w2wgkEW8CfWXJ589IuSPkV/xkB93a8MXrCYoSeSwRP00sX1uMssjzhvZ3lswpzvKKN9NPUcZynv2asIGd03wTpzzOH0FmeDvpmbbfoFuDvP45n55fcmY8z23Fy6Mf0U+mFCeR3XWOjJazo29QuqFOnr/ZCT5+EigrSa0qTMwJNufmZolVU4JQQM/xV19S+R3FLyta0xP6gPorQZE/hlyzOv177jZPsf2Cowxq9zmOG6pZ4rQpmbicNMu5ig2djHx8+hH9X/2W5mrF2//bL9l8XRNXNf/Nn13z5m89m28kT80ztkcTuiNF8ZPfcuQ+ofSP+Gp2wyc0PIk9q9ZxOTlmpeec/u+W2+eOu2eWVK55vH7O6eaCF5P/wPPFnMfTE361OUGVBabM4ZXh2fEtz87uyNJjOn1Kr4+YTa6wq5L+esrZZIeualS1ZVdpij5StYE3Z5rKLjhqTsn+f8z9Z5MsSZqliT3KjDkPenmSyiJd1T3b0zMjMhAMgP0K/GWsCDAABAuR3p5mRbOykl4SzCOcGlO2H8zcw29U3Myq7p4RaErkjXBzM1NTU1Wz9+g55z0BK6GOIMSWLCqKkLCUcxAOKSPD4gQdPNqW1FclMU2JszH6ckhIS9zshreuwdSByTqySTy0EbOOJNsalw2oT56h775FblvUEtITQYwGvxnAJ1tE5pERwq0kWoEPkjSmxHSMnb0iufiWKBvapwZnFBrJ0Cm4boihhWFNGwpqI5iPa2bumKwMJO++I7x4DnlKdA3Bd/4oVWKYNBoVc5rkOU2oiL6laCvUd2vq4Pn9LyZ83K4ZNxbmgvp8ADJl8OsUTiOYQHzTEDKDLTSrV5riskW3nvInmvxqgaos25NzVibQSIGwY05Xtwzbku25QjZHSF+gByWylbgQ+Xoy58QeM7EDTHNFbCzBR9qzKTJKfAx8py6Z+ScM4hFfmgsiFTK2nLljBjcSs4r89pNrjivNaZngU80qDWzSwAk5SfCI4Hij79BqRCaGRHHDYJ0yWGe42QKvHF6AWX9CbRrKdNMtnIURqZug6itkq5A2ZXnUolyNqUvWQ4WVBU4OGMbXWNlSKk/eFEhACEf+rcOlgeo0Mvq9oypg/hymn4OWBjnJMayRtYHVGD+8QkaFaac0R+fYdEuVfc3ReoihQGQjbiffomLCZPuSkH9FiJpQvSQZOLySbEhJ5R2yrOFtiTo7RVqH/OY1AQ0DjfwoJS5riBI5OgK5RFjg9gh11L0ayjuJPTunyQO36neMwwCJYSM0RT2F4LhNf4uOKTokmCYnUxt07RC/NTSvXtJOM7bqgiKuSZuW4htJPE2hkJi2pR5p2kxQGUtNSvSK08UG277A+hlbI9Djr5HZDQ1DJu4pA1+A/DW+jjivuMtmGEqSUDKYb1gPPFUK44sMkWVEY7DrgMgKSAxy8QfKCmonUU8DyTuDujG8+2uHEpBawfSLEW+O1rw7KflR+JS5bLmRDT9fnzCPmqsIT9f/zLhoKcaBL2NKOq8YXG25uDa0doS1YyonGKlbpuaSz40kncD4CN5c3xIWQ9TdKfonGaoNyFvH2zalFXc49Zp2ZnkqJvzMPeXvXhvqsUW8KhmFEcEHGtuw+V825OMVJ//+ks/dM9S25Pj2NZeLjxikgk9PtsyLEcNC8fFE8F8XCgucZZ7bf7Cky4Rn1RGNa9HDwPjjAF8MiGmF+8tvuF0LbJmiFkfYH6UMxw0/zd5ynQzZiox1KBi93TApEz52r/jNkzHluGU2+4LnwqJIuLDPMduSEBLuis94mlyTqJJbWbP4Jse1nsFH3xJuLUWp+cvyGZtqgaNBj+Dr8IxFNcB/vuXsk5c8OS/4P7/4Fhky1lLw/zia890fSm5el7z7pyua7JagKrJ1ysdPAsM88qtvFP6Zh4lHrwJxbpDrlOPmCWuzpFJbIHLqLEM8l08DdmvwpSYKyYmzDIPjt2eRMBCITECdIm4m6HXOzz79lrb2VFvN27vPkGqJ1ncsVqvvfU/6N2NKfegl+ftWaP8tjv+v/e6/pC67c8g+6NVGk+guKFdav5fufLfqDLvV3A4M6Vbw3wdxHoJCh2ykw4Bmt/2xVeEPMaEO9z38+3DF/2F7HJ5jdy0fAuweAlKPbYMuqGDnPyIsUUlC7JkfsmO2aGM6VpGUuOA6+omEQTbo/HqEomqa3s9J7X11pOj+jrHzKHq9XKCV6tLNe9ebalti7Iyio3dU2y3etXhrO6wwRnY+KoKOYRF2ZCjRgUsg3s/a9yDI7YCiCFLsgUi/9wPqpHPBdbTcuCPBxLg3Vu/YLz0w2feb2B/feY+SHWNFCokNdn/8jk3Vyfv0XiIlib14zgfPPTutM8HeZQsUqveI2rElhOzpnJ2RttJJ5y2lIlp0wWqHp4UeNACn7vvHjsUThMDH+6BRHsrcHgTj9/11ty3+UaD+kJkBXWbfXfG9SX53/yIxxM5r6cCvTcpdWrYdo6o/7gETyvv78+4B4R0Q0rPXYs9s6wJN0Us9gdi1qRS9jC90/mOOnaF+7MxQ+/tPDzIJ6IPv7juqT4Qge085Yi+N62WbHf7Se7iF0AFUki5jQs+kUkphVO8VFiJVW9E4x6bedh5sqgcu2XmHdUCl79teit6033mC6BIHdMkvO1aWVAEbAlK5jsXRg4Cmr79SCpUke2Ch8X4vR95JTGGXuGDX1uKgD4Te18vvpWi7sus73bY+OcCOsdWPzQ4UuWeSHc5pD1lTD/vaQ4npQyP03b8PZX+PAVKHc8RDcGr3+0OA54fKQ3Drse2H5bE6fh8zK4TYsfkelENG2aPn3u0PPZi/Y5h2U/ke7AXqpmEePP/w5TdkRndgrjFMRkOKLKVIauq2pXWO2rouQ2fw/fgS+3n6Tyk/vMD04e/9axfaAFKboEWLko6FynFmg0waGE2xjaGsNDparHEsTSA0EmcV9a3skx1meJ8TVyUhbXGTlnETsUjKJutmuAHEY8Fs4bFpSz2NTNeGEA23cszUL7HB0+aOiQaXC7Z6iJ07QqvQbkwL+znb24JENYx1gTuJ2EwjYkKgG+OT0DJKDE4GFq3D6oiNASkaCntJaDWXd0/wdYONHiUdG0BFyzjeMJUWPYr455dM2oyhyoljwcqDSxpOx3dk7QTfCEqXEuscJwLP8g3DuxJzC8KlWGosDT7CcbIhU12SiuTcohTIzGK9JDhDDGMWNsXJiHRDVKvJG8/TumY5gq3KWF0OcdqCjKSLAn0kkIXH3XpUzEjNAPttxWQ1JIsjSBvUi5ZkIDH1CePQkLYV83JMmtSo9BLzJtKeFCxHY5o3EWNgWFSsnmxJRcbT2wGLpw3DRjIqA/LJMUs/RNwWnA1bhGyQNWTbKWZcs1YtIzVnLWpW3DKdO/LmGKPGiEmCTGu0FhQXdBnuCs+0OSWxGhM2uEoTJRgEdS6wEqz0zJVAxZQiJsy3VyTAQGhiNkJ7SG9KNllDYwKVN+i6RLcdIze1hugNUeaEwRKMRMQtocgRPkGuPD5Nu5eHulvEiSEjcIIoLwm0tEegnQRd45IFeqgQ0SBtg9ADYgRXV8S0RrQBeauREkzqGWUNSbzrEmKQgy0JOuLjFCdXRBFI/AirwSFw4gppNdI5BHe0xw4nFAMiWoIUEcpAMo+E1OFe1Ii2ILaa5rnGqQ1RW3Ir0ckIqQx5uyXmDW1iCeKKdD5AtjntWcAnhlZlOBRSNajo0cuCaCIYi/KWEC2tcFSJYqs81jvOlrdImyF8yujoHCs1C7Fl6hKcrInRk902bKRgexyQEbx2bHNPvjFkPkfEASS3bIWjVYFxALwBCkx06EYTHMzjCEtDEA3TpKSNhraZMQ41OghkqCl1TlSWmG9YGksma4aixJuMVgSqWDOJniZIyqBpxICMlhEVSgyhjSQ3Fj9WCNkyWGy4mwjS0DCrG+J2jNeBMLtDlR4nJduhI20dQkRMrrjJIkkTmd0aQnqEVRofNLk1dEupLTEuED6Q+gSlA0jw0yHCbrv3kZMxaciIaaTUJWHQvdmENHDsAkpJ6lmGyCu0cAylh9UlrAJMPM4EdIwUVUT3gcLIgVAORCBGi40SLzPUZIATS6ydMxd36EZgXGBxWmJ0gvQJTZFitScgyPwpUa0JqkXrE2RbI3nHPE/RAmQYUAkLYo4Va2Z3M2QwqCgZ1EsUGsURmDEhVLim4bKQOJ0SlMYPKvJgySqB2zylVTUub5i4inbU0qQta3XCzFoGtqU5qklTyWk7wDSRJKnIkiUb7VDkHIeMYTmFsmZ715A9q5EiwYmCcSlpVKAcrrkbDTum4uIp1bjBEEiXAXVxhdk68jqgK0mtajaTO86rab94XBBXd2S6ZJXOadJjnGjR1YZp3dA4z9Y3nB6NyIeKAZbcZqhSM7w+YaHGpCgyV7BJA43V5H8oSFcemTdsX1Q0ZwqbGC7epTwVF5gMttNT7JElxhq1teQOcp8g/JAbkVAGw91mRlpptNeYaGA9xuvI9tkcWQ/RixyXPaPMFyAsd/4WXIN3hsZdcHZcoXTLSFWkY4GtNO38GTrZko4Da+ByOKSRKWf5iuJijS5rGFY0o8gbnfG3vwRxMkdOAq/KCdOxoXyZsXSRVTqgDA2bXzXUbsmqqsArJnVOkki2siKPgcS31OGa1gk8hnywhTTgjSQPpzgncA5mOKLP2BI4Wdf4xhK0ZxsjLmxxWc1KBlyQNE6RTFuK1lK0/o9fjB6U/7/zlHoM9PhTvvt93/m+l8uHYM/D8tgLbBdACLTuWEBJajAq2cub6FlR4sHKfneOHrCK75uUP6zfQ0bS9wUf31fXD133h/5+zFflMcDqsfM9BKUOA7edTOQe5PK9hEsRZCdvEvSG2dp0Wcpi7ykkQAaJkbLLrickS7uTOQUS3/mdRNUFwtZ1ptHXl1ekScJ4MkFo3ckAne9TngeCbak2m97H6n0pYpclrAvKd6BOpAvUxC7IEn0b+HvZS3e9QKSTScVOstnJ6XbYQiQ439UhglL3QN2+XUUnhYuxY2PFPvjyIeB6ueLufu3ume4z32mp3mvrHSvP7Y/fSbF2XlkduBoIURJdt2op6PyorO0YVUoqQugBCSnu2yMC1uFF2IOEor+fHbwCNnYAiaTbIfbAz2H93+9PcQ8QOtebuvP+OD6UHB32vXvZ0q4/9+CKen9c8YC5Ivs23tfJhz5DX2+831OrYow9G6wDpXq0rfcg432EjE4iGoPvjPF3wAj07Xp/vTtKyo73Ibzvs3PGPnvevYTQ+tAnP4hIuRtbqhNdRghCgAid6XrPuFIIvPVsy5KybVhXJXmRkxhDlqYdW68HzXZtH3Z9Nsbeg2wHLoS9JFQGSbSdRNT7uPfTi32WQKO6JAQudGBC6/w+K9/Ooy0i7rMYikPfIvag0w6YOpxrdv3+0LRc7CHcrt6yBy9C6Dr+DuTdbT8EpR7Os4eA02Msp8fArA8xpD40pz58/jy20PDYsR+WHwJQHs7bDxcjHgWnQgT1/vP4set57Jo5XJTo73UUghDFntkpBFjn2Wwrbu6WFFlKniQcjXKKLEVkKalSlLWmbltUY6nqhtZG/P4cYica/GB7/UsZU/8WQNRhMS4hxaOVY45CCtDKomcCv9ZU1pCoFpd6tmkH7gYnqRaKKCHEBO/G0DhCYnFjR74UhFZTi5QhFpEL4plhvPDUqcedtpz8JmdVZ7zxA4Ys8JnHjgMjU9EkCSWKpqGTlogJHkF0AtUqhAIdYRRywnnAZgqhEmSIpMExti2ZytnGwHrbeddJE2lp+aS9wjYj3i4+grBGiYo0XVOpQIrjSbhlmEvU0BN+fs3gu09JRI77uGF17Qk4ktEVRRNpVcrFVuG3M5SMPBlauGmIWzCblFZvcIklTBRTVTOTgSQmNOcOl0ZaZ4ltQmhSRDxi5TytbDmOBcZLjHWcxg0mlRg9YHE1xR8vCHmLXGrUUYZIPM1bh9EZYgD2rWMmB0yzAVEtkWcNaiqItzOy+QVpVfGumtAkFamak1wOaYZjbmcT9DKgJisysWZxUnGyLpgshzTnWxIXMa5BD6dUtynu1vBXJ1tE2xBLz6hOqb1lKT2pXFDFFSuv0DcDjC4gj8Sx6nwJoyK9DcRRIAwhb6aY0CDjkrLJOu9TBOvMIFREqZaFCmifEF3O281XJEoxTcekWUG2tai7FeULS6kNa1dwWglMiEQkaasIIaeRM2LmiapBxDUhHyI9CG1x2QCiRdVrQoDoUyKn6HpOSBrsyOObCMLixRI3SpE+IvyW2NsatE2FSGpkkLAeIBIw0TMqW6S0CG+IekL0G2IbCeoFzmgQgYEd0iQWL1uIc9J6hHIRshXuKMFrxTAKtOiedaEN6DtHzAP2sw3ijcY7xfaVwMcK6TacrFqiSiFJ0NWWKmux2hFsiVlIzCaB00BMFC0ZNkq0LBGywm8GyEkkqohuHIgWS8NWw20CTYycXCyQ5QjhJZPhCXdmw0ZvOPcptm+TZNUyPwpcTwOzVneglHZkt4EkDtAiozYr1tKzFfCjNsV7TesT0gDCBmwM3MYBNnZs2Dwpcc2EUI0wCFR0xFhRDwqcavF6zVoEgmxJlcWrFBtbmrgFJCEoap+AHiBFREWPTzJiLVCrFvskJboN6WrJ6zNF0TiOrhvC+il+3OCOb8g2Ca2ULIaB2bJFW0/iEy7TQOpguDHE6ghnImWMSKdIAYkjuA0itiRWEpMhXqaE8YCwuMAR2ZxMkbbAS8tcroiDfnFOdF5PiZaUQ4OgIhGOIq8J79bEOiKMwOXdE2i4hqA7memwMYSsxatAGQXRjxExI4wzPFfYZsVGlMyaIWlUrE9a8k1EO41PMrwoEQGG7TEx3eKlQzNF8hYlloRshAsJ2AKrllTcEoNktv4EoQqUFAyaK2AAcow/guDWuLbkOodaGFokYlAy21hGDdTlMWG8RuQrpK/YjhqWiafxQ7AVxjnWs4bUG1KXEqsWFUsyuabSFVkYMgsj0npCXSaUdk1yviWQ4eSEkdfobEkYL6ieDwhvB8jLKW26IESL3DjknSBpPSNa4iZQDRq2+ZJXyiAbgS2HJMsFZVoz13OiGiCDRa9Lim2nzPCx4fRkTGoUsYasTpCrDHMdSM+nZEiy1lGbJZuNQX41Iq8r9MyyOa1xswlBJrQ3gpdqiSoUm9ETNkcloraMVpKJsugYIebMg8I6yaIa8/TakTSSLGiWpsDNHOvzG8wfWmSdQfmERnmcWrN0W1pvwbYkzQV2LAkpFL5lkCtcVNxenJGdrzF5w8a2XGcZtTGkyZrhuw0zD3oW+PKo5CYxbL55SpBzBsryP8cjzsc5YmCwSeDWTFm0nrdvbvkcy9I5cm2YtTnZ1tAYx9C3ZN6xjEtaRjiRYlJHmEjaPMFcHCOsI1rHWLRso6AUcFqDrSItHmckUdfYxLH2EWcN1hnScckoNszqHwal/s3ke4+9wP1LXgr/R4JSf3r9ep8fJTFKIVXn+SLkDoDRKKkRvSRlFzwdghyHGel2cpRDoOZ9UCO+BzYcBj3vMa8OrmVv6vxIIPWhdjm89h1IEPf/u//eh9hcHzrmwzbeSfh22fd2bZEk99n08jQlNYYsMSglcD5gncMFj9GGxBjKuiZLEgZ5js6He+NoqbpAWEnZvUj0WeKqzbYDtJRCKEUQkkAv9/Ke6FpCVXcAQ89u6Wvd++N0bVj3mc9iDCS9ofjue9ABWKb3OJJKce/f07v1SIlK9J6hhI+4qu7qEAN6x/I6uLc7sEPITgYaDm5K3IFV8b6vHUo/Q/A0ffYwQTd2pej8kjqZVsBH34MbsZPp7O6rkqR9pq26qZE9UNhlSuwYaa2zWOfxMZImeQ9mRGzbILW695/a1yf0gAp7KedO8roDHaqq3oMLWut9P66qugckAsbcy4a6Y3TtrZTet5/qzbx3oOb9mHifeRiCxzu7749C7Fhl9xnYdtn9ZO8zJaWibVuid0RvexCkvydSdgBLL1/sR1dvqB/3sqYdKBVFl6EvSZID+aHfj/Xd/eyYPtC6jrEWDsY3EZK+PV3sQEEhOnlobgxaSpQE77vrKaua0INrO+8sIQRSK4zuEjIY1bPgYsS7sD+nD93+1jmCd3u5rDSmk+kqRapNZ9TeS1G17mR9w7zo5kvVvTx3klaBtQ7nOykX+3snKA9YZN7bPSBlrd0zpnZzipRy//l7UtAetNix/vzOm2x3v/YMq/e9kg4Bqd2/O2B0N18fgmSH8/NDEP7hHPznAEffx5h6bJHgMWDs+xYiHj47Dj/f/Sip+uyj78/5D4G8w+Psn2u9lJceVJe9wf7DZ8v9IkjEh7jv10YrjFIMUkOeaLLEcDqbkOpu7v7i29dcLNbcbSu2vTG6ABKt+2n53ovsXwpKPVZ2WVn/JSUxrxCkKGV4cvQVtnK028jxkaatc+oyZ/KTO0QTYAO6mVA1DWu75fZViqwVeiUx5ZZ2EGmmkhfXH9PSsNYLXrUN7dGE5bNT0m++pBpY1meSjyqBWUC8FCQE7hjwmhl5douQgSgk9vycEAWxtiTFCLVZYd5+x9lff4ZtHdffXPLyJ5aKwDd3gR9dSkIBF5+A/CbFtZJKK9TxFkQklpofzx1KJCwmRxzd3aJspIk5i58VTE41/+m55Dd3AicNZ8cThsZhtEaZY3699GxDQzG+4ZMAg2XE/aNjkvwCVMGVuObtRLMVwE1gMptgBho/rHHjBSbZ8pw71EqwuYP/7z8EsrEhMQUD9xknjWWUbin+5rd89/sR5cbw8t+tSdUrRJWx/Nt/IvnJAHck+eW7t4ytYiBS0rOPeKc0a6mZmhmb2xqxdvxf6gHfig1vfcW7bwKf5Y6XI8fkL7d8owouSRj7JZtmindD/ufhBZekzG3OZ1+e8vbEcHEaCdPfEWVEIvhkWTFaafLK0H6Wom/PkLdnvP2kQA8kRRr5d/EdyiqwmoFq0LMz5PFTWr8lkgEZVvwdye2EZP6Uv/1JybkU/DhoXhcTBtJwpDTfxiVRrTFmSYPHR0WIhle3GVZb1kXNSZMTGdCIGaMkEF3EVoHYSCQlRsxBrIlKE/UA2jVeBtpEUQaDcgmDOmc7eI2UljxK/N1zpBAko25xMEjwqST5eoSICf7I0EwtLgEnDBt5iQiQtxOmr0tMtHBsiVIhq4j51mOzKWGQo84yiO/Ag6w/oj66Ah3IN8csi2u8hGH7EfJqjbAtcRbBZQQMNs0wi1/jwoKL8xFnX0iKZSAOK/xE0RaCq4lk3J6Tlwbz1e8JxxPicEQ0RyTZFZgNK5lTRkeIkifxGRvtaRQoN8Z4ENFxm33JZJMy2BrE0hIHOT43rEYNTgqcgLlccETKVBhGsUEuMlyp+erVEtn3l7ZOGNeOcQskP6dWgVZZZq4iLBvspuXuScJWO2rpOKWiCCfk/pitmbOVJVtZ4aRhGocchzHSZegSVBmpn9whnUI3hhgVVs9pzDtW8VNyIZhgWbdnlCjWMqD0BQOxYCxuEe1fIeQW9Gu+84IkFByFCcv2CisarG5R6ohBEzle19y0P8WnNWr2HcIHthhuyBi0NYMm4XgzQz79EmsSyviS09cWGVqawRY7dGidM+Ap9SJFNCWF+5ZVJgiZwEwVX7RLGiyFCry4nuERfH20ZpoEjFREhtQywcSUczvB1AkilpD8hvpNiouG5qOMZHmO8jliGtDJFhVa8huHPyqpU8E34YznK8tw2xCv51wOn9AYxaz9kjejQJumfJr+BB0ukbbBXL5k8aTCpg2n31WIZIOQlsQOkAOJyAxBnUK1BdcQCkcMEqJEJAElNQhDG5/ihMIKyyb7BwgDsEPqi3Pu8pZ1VjMUl7S6JmL5i68Cm6llNfG0PmGDp/aeH/8u5+rEcHui+ZtVQ6Udq8TxpW6R7ZjUjvjILdhuAou14Fb8mFStKPQN/tyT35UMr0pU9hKRekLe8Hd6zOAbzfHvJO9+tiIpbhik7/im1YyXjqfXLf/vRUZuhzxzE0b/4ZrGaDZtgfqvF9wqz3en8B/XjvFQkz3J+f/cDAmDwORZSxCR8K3A/q3k8rNIqCTmG83JLGNaVJwPrvni+RGbbUr9Rcrzn0iMusZv/4lb8x8YrDQ/+uKGf5YaP3Mc/2zDVTwiXw75iz/MuHj2G6BldjtlkBnUwOOfLDv2I5JBlHzz/Ak2ZBz9QfLy2Q15YfEyo3xbspYZ3/70Z9SbK9LFih//esGbnz9hU4xwrwva6zW53/A/nV/QNJ8QTUL26Rf4m4zWJdw8SXiybRnVCnX3nN89+YbFaMWTMOOqusVVFT+7Vgw/PaWYFJy8rfFHI8Q04/hFRryt8XPL+peR/6X8A/9cXuLeeWylCFYzksc0n95ij9Ykv9U4OyOEgtRcotoGYy2nUrIwmm2iOP+4YW00VUh4+asnXAXBPDpG8UuCOMXLY0jfcKobTrTn/3dZf+970p/MlPq+FdwPlX/Ll8E/t/y54NZ9XcX+/0LQBz+9TE9J1O4FXYoefJB71sqHVsQPX+oPV6cfK4er/x+6ph8KaD7EbPrQ93eshF3IdmiW/PCYD1kDj9Xxse0PwbL369UHkfvPO5BG9cGSUZ080psuk1zbWoRs95nEnIidBKmX8UXv9x41XXDbgNbI3jy6aevO68i5ThrVV8F5t/99d+6ddxRCoKXebw+9jI+eweRCZyQpYkQb08VfO18iDtos7Jg2oWeH9KysXVsd3IcdYBlixHm37zuiD8D2MrS+KfeBec+i2d2DTmoYoO9SQgo0mhAd9ACMVGov1QnC7/uE0j3oI2XXlsHRWIvvFWV2x9ragWgHTJedlKpryvv+tLvWnf/THjDo+8gu7Xp3vfd95I/ZHgcgLh1YByChM9nmHhAKfmdU31eceyDBew8idNkRd71f0MtsAz7sjO07Rs9edtvfXynEXqoUhcCL+768a0foASv604sd8y5gtOp9yTTuACQR4V766Q486Q7Hl48BEcV7AX+MEdv3BaME1jm86/yvlNYHLJl+juvbzgcPXvSMz06W7HZ9NXY+V0JKnBP34NDuXoSAbVokvVea2LW764C1fmyGw1kmdq3djfXuGvaA0oF8bzcW9sbl8Y/N0HdlL6+MXT/vJKTdMR8a6j/mZXZ4zIdMqF1f+RAo89i+j4FSjz1LH3tu/FA5rPuHngmPLco8ZLI+XPQAeilvgHC/sLDb7xA0fqwNd4zgXZc8BIMP2VbvA2+iFxZDFB0jtAN9d/0/YEzF0XhIkeW8fPqEJCsYbbbYtqVsWqrGsiqrAzByN5bFe4Dk97Xvf9d3lqeObOPJt2A3nsYq6mBYtwGbeppBhb01iFZ3rCVTExKLVzBbeVQSkCeCpQVvU+KqYCtKXNrgcstypTB1y+jylrtmgo0tUlbcasfQK6akBCADzlmxjRGcR/uWsF6DSfE65Sjc4vWW5VHgdt7iZcCeaQgtRSN5sc5phKXWEiczCluS+8BsoLlNBdpGjjaBTXqCGwjaZxvqoyeMrOSlrZFPCoqJJM8CYtziRcCZDbUeEqOhWJRkosFJR1hKttLjBDSfpiQLyLCMz0p8Fqi9JIicjW+xFookoVWOKgTeLp+SyIAtHMmLNWkeSUSDufuO4YkkK+CyfYaYbciKlqubp5xNW9KkovzRDGdGxFKS6SWT3DKUHlfXDG0BIrB59i2pHVFUGc3kivVNQrnWvDj6Cj023A0Srjcj5m1NaTccu4gZ14gC3DySO8FJiOjJawZmwKxNqesNTo4JYshKrKjMGBWO0O0VSTMnaVpGdkaxMYxKhZcRlRnMuKBSAZNDIlu2siaxLVm7oR4O8FNJTFeMdAUCbqUkEWOIFVtXMwiSOmq2Ysg4OkDgUVQqRdSSwTKyGo4RJkFLj79VyNCgxZoYayASosY7idARqS1selsA4ckuHEo61BTMViK0hkJRFQvwBbY6I/ENUtUosaCZ5UgUJlEIWaGjIg0FSZTde0tsEG3EI2iMJHV0DO8cRHDIukQuF0CDU5rlYEPAo7xCiQHK3iKlAxrCsAbboreKuNkio0CO1gjpkCYlt1OEKgmJQ/gRSrYYEZjcRtJkTdSad09GjOwIsy3YngWGTqNcSllYEu/QUbAwW4wPDCzgBKIFgmeoBUI7msKTeoVQFhUDKmZAQMbAeTUjpI6NieBnpGnWibPuys4XyBQ0DrLYIqRjQ00raiwVdxqCkkSRUfgVSigSFK0oybYb1DpDTQcUsSGLNe2kpSDFBIFaNd17bR6IcYWXgWAk6maINBIzPKZMI6qtEPWGelCAUIzwVHIBbFF4KrEkBoWwTxnEKxJfYawjM5G01KgLyd3zHKssTVaTpHddJuhakqQ1TghiTBmtVugguMs1hdDoOjBarmmLFClTElNQJzcE6dGskekGJRuityxUQSMk2sJgDSPfmbubbYM3Cqcy1HpM5iOGJWYsUDGQLkqsOIYY0GuDHQywRgEtOt4SRcJCG8Z0iW0WeUkqHUTNIErKxOJ8zURbct0iE0OVQx4saePZ+huKoDBuwNbfwpVHa0czLlHBoMhwuSCaALLF2DlbHWh1ZBQzIgOQmoQ3ROUJMlCGNcpqZACrR1RS4aTjzF0QhEMZt0+AE51E1hnSgvaC5jJnYAJj7Yj5HUpHTAy8SVLSxpBuAydjS4hbiC3vbo6IJVBHsucNw2rDcLnmu/oppfKsJwvMYoMkBZMzer3GLiVvMs14IXAY7rKc0e2EfLXFb27RpiS2gWrjWV0OabyiXkleTCNqkBCORiwmK4RV6JsMN5kjWov5lUNnI/xa02SS0bgmjCRapwxMidE1TVKRpymmzBCVoNw0ZJnk1DxjfT1AVQozmHBqLHViaO8KZm5IERXqo5LhusJrT/vjwGzuwFuW84Z0UhASwUJ5RLXANEPi6illfon1Le2RRp9plBJodU2qBCofsPo40iYjIin6eINVLa0NvBkEpltJ3iqSpaJNLTqF4WLMKkTWAtInDXmu0L4g3EzIVYMIgTRGbmxF01q+M4FCRYroaTZPOUkrBmct2c8tv1i9YrQ9Qpx6lvWWdVnx7nd3NHeAHTLMN1SUNG2ktUNGYUAuI/NCYHzJkWtQNzNy2SCj5dqX1CKiTKDJz8ibnGETqNuG0qe8dfkPvib9m8j3/q1o7t/Hwvnvca7v394BE0Z3Rr5Kig6Q6sUCQXQa+i6S4mB19n1A5kNptL9PEvchj5LvY3k9Flz9KeX++10g2IusEGJ/UX/Cvu+Xh237WID33nf6z33wON+ZxAO90bPYg1KELh2wsw4lmq5dRcfyCkZDmiCkIjiPa9uOkdYDVNF4VAgkQtDWFdF7RAho1XnmiHgv5eluZZ8pr/9s58+zC5z3IJ4QvRF5l5ZbiLAP/EO/X4yxY8/sAu4QIHQZ18SOIbLvI3uXoh1faw/UdIGd2oOjUgpE7NKudwbtHXsj9PvLncRvd94ebNv1Sd3fP9vanskg92Ba7GVcQkiUVCC6rHkueFpru0x6SKxzB0ysPhPffXi5B6ZEd9P3AWuMdKybsDOfvveQehhsS9nLr3b9Roi9dE7s6hx3UrCOWXTPPOzbxrv3+qAUve9VuGcD7cdlF0m/33dF3Msxu6HRj8nYeyvR98UdM6q/l/dxt7hnS7ED6u59inbeTrt+07Hc+naJfabE2NVhB4oh6E287wG6fjh1IJYQCKGwPfiHEGjd3SPnbIeri669dsb+Pga0NiilO0lt7L4UAG10Z3guuuM775EHc1rbth0IKQSZlj2g1jHqdgy50PfHCCRSk2jT+5+ZR4Dr982/D9mku/FyCBjt/w47YEt2qbT7/vdQ7vehcliPh6zTQ6ng4c9D0P4xwOrw+I/9/rD8EJP3T5nr/xjIff8Z8qF6xh7sPvTR2hmc7+7BjjV2OGb3x+8mVeA+wypx5yn4OFB1+FzcyUV947HOU7cWG0CbBJ2kHM9mRNExbGWwrMqGVVlTtc0eMN/POdDPZT/YXP+ixbc/taiTljw4RhvHqolU0VCLDGEb/NDRThvWvxtCyBAqJaYLEhnIFBwtI/I4Eo8i8yBwNxnMx5T5Ap81uJHjrk6ZNC0n24rL+BJvG6RtWY0c0ipmpHgECQ3nYsU3JMQQMM7ilmtkEZGjnKP2llI0XE8Ft+8sopCIV11mqbw2nK1HfG1KKqkRYUQWyy6Lj5FUWmLayFnp+er4mHoa0GcLGnHG2Bmebq/YnOToQoBsEWlJFF0Ke+QEakU+L8mmDUFE3J2hzSI2FSxfDhj6gIot+Uctqi1xrcSLjO1VS9tGhjonRkdroVo8wYwdpDXDl44sadDOYpq3pM8z1GDA1fVLppOSNDRcfXHGNPkaPVmxfvWU5GaM3AhyNWIw2jIwnupNxWibIhDcnL5m0nzMUZtRDq/YXJxSbVJ+9tk15XjIMh1zMX+KLTfIeoHejkg+bZCTwPZOYWrBJDrip29JxYxxO8I0NW08oY0zluYt3gyJ4pRp/Y7ULsjCkmelZaRShiQ4pdG5gpGhFIbERCING9MyalpGlYXBmDh0xNmao6bFR89KwnG0hFBS+ltG/ggfNC0jBsEhBThgpRRJC6PrwF02QikYyhZ/B4gGma+Q+oYQM7w/xVUCmURk5mCjQHUAlb50iMwhZ4KkUpBoRKFpigWhUfjFGapdITQIY2knrgNPXGdYr4Jh6AxRa3z01KFGBoUXkkYqdBAoEWEokGtHaGvC6g4pMnwuWJxtUM5jvCaRBtVqBB7SGj+sEI1F3mrC0vYJPgLMAjJNKNoRUrfENIAfIuUWE1smywDjDXUuuTmdYN4OUXVKmVaYjca4lCZfMm4DWRB8kzac2sCg7di3vu7etUaFpjEOqwNGGHQbOsl+TJE4NIFpmTKXG5a6JTBjmKUUBmYXOdgpoZhQO4eIFVE0VHGDixs8WxqRghyiZMIklCQxI42aRWyJ2wp5V6GTMzK/xLiWcijR0iFDRG5qYhHxw0gIa7xoicqRrQNkBSKdUaWW1FaI5YJ2OMEoGMYGKxYIuvfWSiwgzJDtKWNu0W6LbDek2QRtNflFYPkkJSRgU0jVHbQCv5EkicXIBBkSRhuLU4qbaSQIzbBxTK82zD9TqHRI5o4IZkUQNXVYMsw80jhcaFn7MSUG3XqebSW5VWgl0I2jEQIhhpjNGWnjGchbkswjosUsVtRFio8KNgb7ssAVAu3XCNkSomQlc4pwRAya66RmTCQNgmF0LNKGrWgYpYE8dahMcDUQFAuPrFrW7grjniF8Thneom5ByEj1VzWmnmF8jhh3ioHoLcI1rDJFpRPyOiOIUQ9KBYIAJ6HyC3KXdVko0xFrHE20vOSaoYwILdgyQ/uE4AXBdtJQ6RRinlHkgnzgqYZztA4MXOTSFByvJCeLyJkpaXVJHTf8fvGSopGMQ2A4LJk0G0abLZ9fjrHnJeKZJ/2uRniD0CmD1zfMBVwWmpP1hDZJuRuPeHV9hNpK6mZNOm4RsqR1lovrE9pSEG8aXv3cY45SzGzEnBauFPm7HPn0G/SmIv11JJ8UOCNh1DAsKmKi0RNFUd2iQ0uDI0kVhdQMm8AvNyXIyGR8jrrNiV4SjgSnaskawbvlkKetohhaxI9WDP6uoU0jq5cRbx1hZVmuHGe5Bq25Sx1qtcaUoKqMzaJLNlVNBUdHCRhIww1GnBDzgvWnGrYFSYDkbEUcSmwbuPCSYh4ZtAK1zBFnFdIEBhcJb6SnTD2Tky3HXpFUQ+bXU4rphiRpyZTnO99wZWtKozkVnqkTlBcFzCIMIsNPA5+snvKkVGTOMm+vuV7dUH53gd+OocoYnC4JvsR5R92eo0nIpOYmi5xWV0zrhvpqSiZv0aLki7BGm4gxEjt7SrKMjBuLd5bKj6jF7IffweKf+AZmjPmTQYg/p3yfxOBfc65/SZ06iU7nFWX6IDE1nSxvl0I+7kJswf73P2U1+uHnu/IYIPV91/Hw5f9DK+4/FBg9VvZAS+wBqoNA96HJ+a7sgpaHq+n3gIJ8b/+ddE8pRZ7n90FI6MAcszeN37V/spfvSeJ9FjLXdqa3zoGU6CQhybKO8UOfsUzKDgOKIA8ytDXrZecjFSNGa3oixYOgqG83wb18h9hlVxSiAwvomSaq89PZ7ZDn+T3Tane/6ACBzlsp7j10tNG9OXvEtbbLrhZ64+tenuhC6IAmIfdtI6GXSd33l7ppcCHs2XwxRhrn9kGhAJJemtcBMd2+h5LKXfAeYsT2/lu7DIM7cMQ5h4+REAXaJJgk6bP8xT0joWNTBOh9lHbgUkTswaemafv+GfsMdxH4YzZdF/RCkpi9R5DoWT9Km06+tQe1OslcJ4XsZGQd4Pk+S0bSGTB7b4EOkEOqHuj6474M3fwQ++ha7IAu7wneYbICkxjSNKUqS2zb0jSdJHEvYxI9w1LqXs7WSea02vWLLvte7MHKHdPLBX/PYgsBY8xe9tpa2wO1Oynizk+sM8JPjNpLIJ13ZFnnI4LvAMYoQCq9B3LeY2P1LD7omFHGdGCr94G6qnq/t/u22vs6xUhq5P5eAft+pHSyBymj62SASmmy0bD3HOoYizuw8lDqvAOUHs6Bh2bo782f8V7uuPNGeyxhw/tzYHce9x5geg98Hdbnsf0Of/8+MOmx7R+a6x/b/ucCUru/D+fqh8f8vm27vx9mU4X3/d0O79XhM+pwMWK3/2F77e/rbswftNH97/fXlKSGRBsyY3g2LfjJy+eczabcLpf8+qtv+OrtBa/nC3xvbKd1J0WU+/PeMxi/73n8sPxr5Hs/zxLWSrM2hvqFQa0D+tZx1jasBoHbEWSLHF947MhBEyjWkcFa0MZj2klDe7Rh+CbSuhFVPEYcJTBcwuiauIiYSpNVhueNZWkCbzPH81xAJWgXnal1rmGYwtsyUJpIORCcrs8YRsdYbiB6toPI/BRM+WOaSrJclwx/ekeMivpmzJAhhY2Mty36x1tCG2m+TJhlgW1e88X4lv9kfsETMk79lq9+bPHRMHs95vNPF2zzFMJHTH79a4SE8i9/RG6+RS8F5u8/xScDUqM5zwLpj96xiZF/+MdnPP2b15hjwSL+FP/LC2TtGH1ywpNNiRQlX52/o/76OVmT84uPNvzui4zlUjIeWvh4Sxg3lHZDYjJMgOzmmkZnaKH5Cwtvrldcl5ZvBhMS/QQpctb1Bcn5kEGm+Os/fMNX42dcJFOqy4azV3dMRjXub89YZwuqtAbxhEFlyFoFw5TbpxeU4zmffA4bb9joBP7qnOK3rym+vOFs+D9x9apk+azk/2AE6/U5d+sjrv2a0eya8WiB+YdPaJ+tcU9X/PyXExYvLYuPPH998ykc1/jjkvFXH7M8EszPA4YJp3cV59dbVPEJ5syTPKlo5xuCqfB5hakEYeNxS4dE4IYT2qMzxssZQgdC3jIffMdGaNZxyE/ClpaMOyacf3tNIixqaAnqhrBKce+mZOkSOfbEJxC/GAIWMVxxMX6GEpGpX9FMA0KM0fYjgvkc0WrU6jna31Ebw9XolKeXcxLlECeSdZ4g4oC8PKUc/AEZV4yrLVLOiNJgDdwkIyDjpBmj3n5Hw5rXLzY826SkUVCPHddhAAJe6DX6qwLaEe7JK6i/QtQr1G3ApTlBCWKsaJ/VtIPAOqScvA1klaAeZRjnUcIjhhW8zREbDUVNGJwTiww1e0NJjkWTJDXJQiGblHb0Cq23SLEG/y0bDC0Jo5hjqoB0knb0EtoMHyKXR79lIk4Y+hHq9ltiluOylHnaMPQJuc9Y1yOy6xvk5o5f/wxOG8tp5YhrTUgmhHSAzt8Q1x63Fbx+9RFDtWbCGnNxhlNjnB4ych5fXGKHl2w2T0kNZGng21bgY4Ygw+jfYEKFcS2DTc42TVgUGcX2hMGdZ3xVY8+nhNE1cfoVUkxpEVR4RFCkG83gzqC2BauR5eJpyaQ5woQ1Krwhz35OogWJ3nBTScTKkV7U/PLFEaCYbSN5fkVjGm6Nx2nBuBF8fCdZnteokDO7O6c+2lCrljvXctp+QhCW6+wLjm6fkDZDjBvx5uSGkHjGIWdWzQlOcGNPOM4kWiuaNMG4GmVb5GpJXGo2uuU3n7zl4/QpQ6nw8YJFeEGJoVKXPN18zKDKUDdXlCcrXNEg05ZrOcSiOfUNU36EImeu/sDNOhKs50fZhmr+GX59RLZs+PrlBavZglm6wYQhBs2JXFBsBUmT4c3PifoCxBq9PUZECzrA2QhlK2TbYtcCaaaEJOXt+HeweEEoj1iMvsSoBENGeveEUWbJkppl/Q6XbHG6wseGuXjCLcco/zlna8PJ2mCrLYsYWSN5pj4BpbDa8x1/IHWWgYv4WWDsU4Z1wX/7+iWD7B3Hg2+p/+nHGKMwo8jn+RVaNGSi5TccU7UGX2v+T3XF7dDzxcyT/r3huAg8PXf8313DWKz4TNyymQfkOJK8iPyTbTi6OeIXX3/C5uoOrSyDYWDZnnKZ3/D76T/jfl9QjI84/tkrnvzj3xMr2OgT7H/RZG3O8a+n/PNf/ppBUfHXTvK//uoXRD3i1ccGfrnF+iWbk2/40cuGwg/g7Y+4/nbJom54oyzxv9whTiRGnfA3b16hfcEfjiLJzVtGreZH8sd8mwrWwdIs59gnSyYJ/Of2jNUkJw4DR2dzVt+1OBsxzwxvYk7pPWn7hrXWhGbI0ef/jrN0gchrfvVcoJcjBnXgM/Ur/PAlPpnSWsU6fkHb3JB95Rg9NYRByt+tX+AAbQU/eav5zdVbLsIdo/+b5eeDH/FxdsbL8YbzZMxIZth1yT9++wd+8/oN/+vfLfA+EiTURw0niyFHm4zTvOVto7hyAvKa5KlFHTluvvSI6hk6nPDiZ58zuBqRXA35h8FXnLaG8zbl75q7731P+rOYUv+9WEofkoH9a4/72PaHL527AEWpnUeJ6Dyj+pduF2MX/AMBsX+R7XLcxz1z5mE5fCl/CCA9Fggcbn94nMdelH9o9fzwXH9OAHOgAvrgdw6v4U8B2h4GIIdgw/3K+s7HqQ9SQic5E9Lvs9HtZUbOEYK/N0dWGqQiIAg+dMwj1Xk4hdjZlAffAQMx+N6UOu6lazH27KC+Hogu1b0QO2Zcf7vp5VL03jhSEgV7VswO2OqOtbvGHhTxgUTr3pesG3aRSOtd51EU+ux7OwN8div8vbxMyoP8cb34bC+t6q7R9j45AXFvFO/dXo61M+MOPdOnAx3fZ47s7n8XgHfZ/5ACkyTvBYc72dXunu639fVx0ANS98Go9/eAX/ChN3Lv2SsH/Uru/Y52fYb9cfZeQv3vEshM0veZwLZuOyCw9wnbM6EeAgzssiB28kMhFSHEPfHxEJS6B1N3rK1IoGNmIWXH8hHgQ6R1rgPIDu5V18c7fzB6SVmMsfMGCx1w14FS4h706EFhIcSeTSeFQBiNVHp/zCQxeC/3oFeXObDrxqGX0FnX+zYhaHtWnJKS3vsb71xvPt7dmz2QBu9JS9vW7sftjvW1yxi5Y3jtmFLOd+BoFN3Y2X0ud9S5uGvrSIietqkJYseqeXwef8w36RAA2XlM7QGtBzK77j4qlHpf+vcYQPTYtg/NxQ/3e1i/x477WPnXHvth23xfeficOPSVOpyzH5vbd55eD0Hbx55vu7/f97wLf7SvUuo9PzAJHUjZA8i7ObjDd/sEGLFjqF4uAkJfMd/WTIcDnp2fMR0PeXG3YrnesipLrldbvAvY2GVwlAfXtZ/zvqcd/5zFnQ+VtdQ0QnbeTbcDom1AOLZK0USgDRRuhC8rWt92HIk0pSoy2lWNzxwx1QzTBC8FWVywVJpQO6hStPdgFO2w874zTeSkklTJMV5J7MAzSJeERFPmA9qLDSHzyLNAUZcUKpJNAu9M955z3MBdeosPErMN3fgPHmlLmiQQkoBTNVJZIhkhDvk418wGHjOaUE81b2hZbGu0DQgjuHwJsW0Ra8V2kXCKQYua9ptL+MhitWGta07P15hMci2GxCzQAvplyza0pAvBceMxuiIMGpZR42tHEhqebT1XqcWmCe8GBYOnlmzsaXxKcrNELyyzkym1qnGxJbYJozqQiYgfn7F1OVVd8mS2IpcrhA+8Ww0ZzyzDdEvdeCRzBqpm1JxxPC8Y1RCPr8nbJXWwuCfHsNKwlYhYItqIsobZ0w2+0ZSthm8EXg6xHweywRXJpMCICeG7K7xeExPFU7FC1BJRHeNHGbbY0Cae1x9JtJoyvMkIeoheO9TWU04dKhhO3hnaY4lIPe1ZzUJJRmnLkS+RC0OVe9bakgSFTgJ6pogi0qaeSq8YOoMWoKOlqBReSxoTgQFJ65lU14RCU8qANw3F1RFtnbFRIyaDAs0GeXELiaVJFKvJMVUyIPOW2CridgBaQ3JDqE/BRaRaE30FeDQNMjcErahSaO5GSGdI4oY2qVHaEdOkG7HBIbctAxkhbJG3dwi5RAnHdK2RThBkJMaGsdUEIVlqycikmGAQtYWmRfiWOIyEQhKUhm2Oji3YgFlLyszQGkHeOGRuEdLBGqIeEAcJQdTQLsGvoa6J04SYJ8TmhKUsCcoyu3mDm6W4QtEJ3XulRRtZpo42CwhzjY5ThMsQ7QlrLdiINSZVDGROGgqGVUNSl2BLfKZZDRtc2iLjGEkC0rOZlDS6wml4oodI7RDaM2khM2BUpB1bVLkh37aYaYkwkRhOkVIjmxJRbUhGDuGnGKsBT4VhIQoSXeOdIa5G5HOLwLE5C8hkg48SV56TpDVNlGx8TjRbVCLYjgvyQoKE421Axy1eWao0Yys3GF9QtEcIAjF66jjgqHQE3SASSxIC0QkSBdlmgg6Ru2KLEgURxZ1eka1ygjBsNBzHLV5KSvcMmeekKeRxTigkTklWoaVAYZrIsF5Tbo+RJiFPFJ4tXliCGaMnDU4luOZjSrkh6pIgM7KVILOKxpwj1jltq0nlGLNdIlzN9rhltBwhgkbOAmVzi/SKRAdEaPHe0r6zYCrkaI1NlkzSNYVvyW8NxkS09EibEKPDCUtI5mx1QysiOjYMK0nuFN5ZWmEJypK3EcQaVEvhXyDlgGgCKwRGVKSiJuYpSx1YCsuo8ZhmQBQjNrMWxAARJLO7pwzKCl1VyNYzGuToYsAiVBQ6JVeK441DNRLTGsKRwGrPPNtwPnhHZTwX5oyTZM7WJCxNyl2+YhISJnYC+S2FTSmqgnpwh1KOJ5XHtR41kJQDQfLNHb6tuPEVZ35Ik0lufWQaGxK95Gb4jrz1lGnLu+Oa4mKMyyNxloGaYKoh09cKUSXYNNI8k5TtiG3j2eSvqbZbsAnfiSeQJ0jRsqmXiLwk2oCon/L6KlCohOMioXwxJpY1Txa33JbHiBvPpF3gNMh0yjPziqbVyAjXzyztTUAFx+SVwSpL6iw35S2+OcaUgjCpMKlEGkmQAuFLjLAcacnWj7HkyGcXRC0QRjDMLeVdRVUHWpdgcoeMG/zdhsIOMM2Atm64vZWEUvJx7XjXaGrbsZifjMfkMqH6vcM+bbibvEF+U1E/r5icjDiajHn6/An5IOdotqRetpRry2++a5DOEaKjjjViNGNghgybt8RW4paarHLYuMKpwOJyhN/mZELBVBJXktDI73lD6sr/sOx7fyoj6k/5/DFw5Pu+831F9hnDjNEYrTggB3UBWzzkmXRmxt25Dr70gXPvQK/vKx9iVT08zvcFMx8qjwU5P8SwOqjZB7cfXuvD63usjh9qm8PgpAu6d+wQOqleDLQyEOnAERU7IKMDEjrQRkoJxiCU6jx/okfSsV6893tgKvbgIjH07I+u7JhJIUR8D9YgBKmmZ52Ivcn4LvDegTCi/y/Gg4BZdADBHnjzHaOmaVui74yfdar2ElDfA0n74LAXUO58vXbnkoF9JqzYs3V2IFCIEUfHfAkhdKBUD+45H/qMhV0g1nMEes+lDkxz3nb+Vzsgtb9f1rkOXBECoRS9omcPvr0HSh0CZP0P9EBgvAdmYMfECh2wuAf0ujHWBbBmD0ztrvew/+9ZXTFCiCRp0geogW3T9HVgf9xd/fY+SEr1UspA9AEpOxik46N1beT9vcG5UvfATPdvB5q6npVl+iQQPnhCGztmW3fR+7YUuzbs78FOUtmPhk4eKjo5lA+B4C1Cdswnk3TXq5VEKw3y3pA90YbQm0p34GLcA3i7tt55dikpO/ab8CRJsm9XH/xeKhq5T8SAEMiwy2bYe4r1QMBumMcQ3gPgOuCzYzztwXzZSyWjRAuxlx/K/vcQ3gelpE7eY98czh0PwfbDeeQ+UUAkhD4JwL6Nd0xYyW74P/SY+r7nx8P597H5+jFm7OGxfmhB4fvO/dg5PjTX/hBY9X2A1+H3vm//w+8ftt0hmPWheu3afScH3G3fJ+vo+95uPnrvWPJ+/u0M5z1V3bKoG4p8yV99+glPpxNePTnl47OSdzdzLm/vqFvHtm4IbeglnbsZ9n9cWaa6R8Mh3uSgI1HXbLTBAbKF1I3xNnbMjdRgj4aUJyOC+wqRgcoMxbBA1A1tu2YtA6FKYJVhskCYCfyRpAqQzeFkIfkmn9EqTRx60qKkzhOq4RizsFC0qJkjvagwmYBzySKFbBM5u4hcHy1xSHSisY1FeIGxEZtU+CTQZG2f18MgswGjccqoUExSzT+fdFmmhG75zCtkCnfPAuIrh7rz+LeQPtUkIrB5fQnnA5xWrPMtT5/dIAeCt+Vz2jQQlST9pKG5Dai15KyuGWYlralYic7nLrae87VmmzvuMse7bMxHz1qy1nGxyMm+dOSVZZafcaNqtsJhbca4rilkpD49YRsHtH7FJ+aSXGyIQVCvZ5y2awZ+xboFyYKBXjPmlNFdTr4VqFcX5Ndr2srTnm7YSEmFhHqLbB1JKZmeWTZNRG8V5leO+HxEeJFhRp+ThpckzTHtxTe0R2vcCTxTC8rFjO3qCPlUEwqB05F3HwvOrsbMrk/wrwRmbUhXiruPLMM7zfhKcTuOqNzSThreEbG6ZRA2pOtjmmBY5JosZKRpoJi06AiNDKzVhlnMUUGggyO3hmAEVnrgmMQuyTZ3bCbPqHWkJGBupzShYDUYYAaCpNaYmwXiOFAOM64mM4xN0V6AT2E1hMxCdo1vf4bwnsAbvKiJIpCILWLYZcGrTMAuC3Qb8dktvmlABKJOCR6ic4SqpkgbcAHuauJIoKVhthriNfi0W/QbuRaH4irrMs6qaJC2IboWcDAUhJElAKoZosIG2XiSpaE6TkHBaLVCTlrQHi41cZDhi4y2kehqhSo9wQlIAySK0E5YqYbWbJjd3eEG5zSDgg0JRnbeTjFEloVllVgG9opMRzQzRHvChlsqs8GYjDNyEp8zaBRsS0LT4M2IzdBSmkjiM3ToAMblpKaSLU54zsMJIrGI1jKtIzoKZKpZj1sGtaXYRNT5EuQJwZ+jVQV1S9isKUYlOioSN8TiWcuMOzHlTF1BnaC2Q8zdHDfzVGeRrG5wIaWpz4jqO5ogadqMRm5AC9QoYagjozJwtHA0pqSSgkoN2Igt2hmG9RmTpGP4tzFyUr3B5hWrYYOpulWuTCmS7YigHKvBhuM4JIjAIllzPp8RETRDT5AbAhmtP2OdOxpZEeQdUR8TEVRhSxsFKkZSueZqc47QGaORo6LESYc3R2QDS4gaWT+h0v+MEyVBTHm6gqyUtPkR242iDaCHBbqMiKalmXiOloLEKaqppK7vwAaGSYaKDdI1tG8D6lWJnIANNxyJBu08cZli8ojQkaZKsFnEp56YXLHSiq2QJNJimpysNXhXU2qHVZ7c+y7zZLBk4ado2RJ1jY6aJJakqqbKDUug9oGjLSg/IIoh1dSiokA7yezunKy9RoQSFWGY5mSTKb9tFygNY5kyW0Zim0I1xEXJSi9ZyiUfpw2v9YwLfcJ5/ltKk/JdPqQyJZlLEW5Kot9QUHFiPWVxiw6Ws01gHTZ4YVirjHR9hVu13FaBz6YFC2e4s4rTEAhiy83gDU8pWOeWr05KPrqraLOImBTodEy+zZm9iVShwA489rmgKQe09Zo2fUPcBJBj3uqnaC0RoqQsr1F5iVQD9PYTLmtNNggMXliayQi5VZy5BXZzBJua07sL7E+3qEHDufyUuZVUKjA/reG6wcjA7GNDexcJa8tVuyAtC/JKUb+qwRQgNTZqYlyiaBhriS7HtCElPX+D10cEmTKNjq0vqdpIW6eYaNG0xLtL0uozEntE40tu1xC2jr9mzmYtsY3CpPD8ZMxZMuHNlx7MW9b+lvqXjgU1g7zk0yxnOjvidHbCz/5qxfZtyeJ1jX1tWeo5VXpLoxxqnDIYjji7gqpWlKUhbxpiuqHWFaubjyEovAqIkca3hmZjfvA96c+S7/1Lyr8GfPrQ5/8yUOrQaLnzLTKm8+cR8t5/ZhfQdHtIpOyy+ezWVOX9QfYv5977R+t9KAM6zL53WL/Dzx++6B8e/6Fk5LGA6LA8lAE+FlQ9tv2x1fGH3z8E0j4UiB1+76FJ7mHmrF1WviRJ+nqA1gatO/8aKVWPSni04N4cuZcSCSGgz8ImlSHRvcdSjDRNi5SSRBvSJCF4T9s2bJa3hF4i1LYtUgi00iidImTPaqFncQCIrk20kB1wETuPqF3GPSUVzrk+C5/pWCgx0toW05sC29bu20IrRYh+L6GLfsdK6fuJkHuvHaBjU8X79rsHSWInS9qxt4KH2Mm2Wmc7kMSHvh37DHP0AEdfLx88bVN1gGAPjMSe/dd63wEpSiFlly3uUBoYY8RHD1IhRAfgef8+I+nwuzGCUjvgpZO9HfY1KVUnFRSCnZRWSoW1Lc7Ze+aQEN247IEdrdj/bg8M6HfsC+cc7R58vGeiSdFJ+HbAmBD6nsl0wIq8Z9nIPbDlnMM5R5IYiqJA7zyUXGeuf5gtTkpJmiSd7xS7bHaHcqbunmqtUX1g7g4YSLt71R3HEOK9ZC3LMjoWmqeua7zvGHuHc8YOG9uBALs5Ze+hdnAP3ptnDpksvZwQ6EEu9u12CBSpnlGmBZ10Mka8kPt7p7XZ32MjBQQPwWN3jDUhUWm2l67uTO8fzmuH2UZ3fmsxRmS894Jq3PuZ9djLre9BnUOZ3nv9+oBldTg/HnpNPfSb+hDY8/Dnh8rOz+nwGB/87iPHfMhifWzbw/L+OHw/I+z7gOz7x9nN34f1/KH6fqguh31wd/4/km6G3sQeOgbsHujq+mIgMB4WjAc5L07OmBUpw0R3GT6bhnVV849ffM3tasO6rEGqvVQfurZ/rPq7ev9r5HvpX6bopUYtDVV1AiikhDS9YuhTCjvkLQnhaIE8nfOj1zM2Q8l8Jji7TXDplma45EgLljcZV28L0nxLkVqGqWdz+2OsqHDZDf6nLbO7yLMvI4soWOVT7kZPyRYBP15in1+SfGVQtUPbBp/khInBPU346IsMZy3XekP96mOChFhuefluizA169OSTy4U42zA+OUZ6bBiNVJ8dTLgLy4sza3gd68NkxfPGMqc043hVz/dkpkt/2FxzT+NNNtMkmaRV3/f0K4Nv8pOkO2EPGt58uprrqZQhRz/7jnHLyVmAK0KPLnIyCuBlzXDektiDMknH7GIr9luLbe/e4L/WJEPHH+xuea3NqFW8IuzJW9LQ70OnP96Tu2PCUYzfP6a9dbSSAg/G/Pu2yPKa8nzd19w+SyhyhRnn9eop46kgLPvZnzx08DiLPJXbxUXxYhFUiDblOfrt0zsNd99fE37eYG/HhL/yyecLy6ZLlcsti9YPo3UM8eLX25YnJ6xPJlRDV8TbAPOcySnNKWnWXuGv8/wzwXxpeQnJylGFkiZUOWvoc2gLQizwAt5zkvxhHb0DYlvyVxglQ3I68CgDHxxcobXFikbPlt+hNpsCOs5Kn3FZrrg7vgNL39zynxm+OaV4ReLV+QlJGWLO7sBSnAlDH6OlB4Vl1xcNgRVoooF6pslIU3wJxMG30hCWtCcH6Mu7xBpgDPJa5GSlgnP5wXSfoUdVmxeWqYxkiwS9B/GfPGzEjHwnClHIiQqdGbgpTgjCIeUb1CvP0ZvNXm9xMYB1VBx8ykMeEfiI6Y66d6ngyG0I9LjOUJFms2MbbFA0HC8dYh2ipAJatb5HTnr4HpMOwURLaPfz2meG3yWYG5HtPoIome4+nv8+RGYnORbzc1HazaTBtsKTt4IikYRP8uIdwPiVuLrGxZPoBmk5BefMhxFstTB9oY3o8g6ifzkreXNcc06d/zsTUo7iTSFYNWedO+B0bD+asTxdMt4WBHvalw6wJqCqxuFnq7Q4yVW3DKdH1GsZnzxMjKVgiMBbbLF+jXOVky/eYXMM+LIsBgtya4lxY1EPH1N1JogU1ySc6UCl8rxE3FN2JxTr55R5v8N1U5IqieQWVKxJWPFb0dXKDFgGGe8uN6yzSxXE4u6/CuKpGI8ueTu9iOMaxjEOd9NSxpanG35WPyMWhmujOUv0nfUQvI6FkzrAdldpHhds/1kDqnGqBE+vUGXgfw65VdPVqg28PxCYj89xqaSKjSczX+CImKLt5i5xmrH/HTDi3UkY0TIP+X14A0xlJwtHcuJpFKwDYHk7mMKl3NqWhaJJ6otI74imSc4cm7OTxkKj42Rb4Pk/BKEd3x9suaMklH0jG2G+LbC1571ueG7scWljp9QIZYf4+2E5RCm9pKsLuHrnMUrhx3A8bdTkpe3iOmGpajYhAG119TNEpE9R+sRR+EGoQtUzCmuRqi2RFEiXq6pwgAXU45ViSejRfFaLzidR4Ybw6/PP2XceCbWkaWRFbfUdsPT3z1jeb5idbpkLJfc1S9Z1E+R6muKNmfgcrLhnFptKWXDVfUZmYGhtszK3+KqCXV1wu9Vgs7fUaSvmfztEVZo2lRxlJzgB3c0xSVvvvyUVaHZjCM//s0tRq6gWPDPL2oqO8BvjvhP7deUtzkXVyfU/65l1FxydvMV3kBUZyB/xO9eR6y6Qo2/YDp/RVrOSKpTfpkvqI5u4KNvOfnH55xsHB+5Of/bT/89tpGMvlny7HiB1FsqseDus3+PaVuOvv2c5uY5NgvUr+aIq4qBNTzVp4SXCj+W1FOoP/+Iap6wuCoZPfsdhY4crT9i/R8H1ElK9XXBavOaodnyH184Xs9SbKI5FpK35XNinfPRynE1v8PnFSf/x4r1d9BWOTL/Kf70S1Sx5EQKqjdD9FrzSWj53csBW5Hw4/8NvvuZwh17/qZ+R6kUayn5SkSefK0ZlpH2xxviTYJoJPnHjtWvntC+GTAMF3yT3HCXbRmeJ7wIhnEt+e73LdufSbZnketflpx99jFPX53zf33VMFlJslpRTVPa7ZpqueaLX13wd98u+f3VlvFwy3bzlLI9ZvDZO/wyh3XKy/NvsXNPPZe80a+IpxJ5Iqj+26++9z3pvytT6s8Fnr6vHAY+f87+u/fLztRX9IGuRip5IOO495noa9gFxUKh9eNN9Jh3xmH50Kr0wxf8x1affwhw+lA5DKoOy5+IOz4K6j12HYeB7Ieu/fsAtN1nhz/3wN5OguSAiKf7lxiRvZcOQu6llDEEOs6PAOEJvpOy+d6XiY5Mg4/3WZw6JkrH1Om+0gWZKgZEVCA7hlOEXrbXL9yL/mDxvQshhPu050JKmrYDB0LsDLW7r4U+kO9NTgBExyAJomc/xUj0gSAitr82ITrmVCfL67L8BSn2wFE4CGB3Zt6dP9P9Oe7b23dZ5GInQYsceB0dgoz0h5SKKBSiy6nWAYKi9+vaB+gdIBalwPtdcPj+mAgxdEws7oNHYuxlhQfgbQ+cdffG4VyX4jYE/34bAmLv4RVxfif4updg7o4J98DvIShF7JIRKtkz7oS6v/bQtesOeNldy6FvUexBMO88tmkJXvX92O3bZudFBp0xuNwxxXhfwtr93Pv07BiA6sDjajdOnPO76gOC1rq9D9ihDPOwHvTMpEM/JdGDdg/H5J4Btx/3OxAg9oC8gL4tu/EhOZwrVO/bIwFH2JunS9kd13vfAUdCIGM3cg/HkwCCd0TfgYP7zw8Ak0OA6CE4tJvHI/Qg1+Ecxn77YXk4j31o7tu12T3Y9/jceFgeGrF/X4k8vv0x9tNDcOdDx/6h59PDv//oOSTYM0J35eHiym7ufuyZ9rCuu+3f90w79LQ6vN9CCIL3EMNOg4zohB5I0S8gxEBV1924tDBPDYM0YVTkDIqc46MB/+kvEharDcv1hjfzWzZ1S926vs/8y95P/pQS5ilpkzFwWf9Uc8jQ/WaFo9IVxhmUh7SFOKsxLmF0k7I2G5Rp0BpubaDOLDyvGSpDbDSrMtIet/gGwmaAuAo0dWCuYetm1ImA6Q3OgIoVxY2naE9wTlEFD2zQTWBwU1O3R7SmwR8tEXctaaIoRhBGM6yqqBNL8qlEFTnb4yPm6wuwnme+xG2m+CowkSvYalyuaY8spsrQG4NbpWQq4CI4FHXyFjX2fDQpcVIQlGcpJKOyYRgEW21Jgkc0ErsdoG1ECsdcNBRZDcayaCuqJhJbyexE4fMtmIrv8hKylsTD5duWu6SgCpqVCqRJSapaWAqCGaMSg1wJZq1gFARDn2G3YypnIH3HqqNtcN5aZo1B1ZK3ZWRbajwaJbZsBymxmHH8uwWrECjPaoK9pEm2rEYOW9+SRUXqJcujDCKM7ypMe4uxYFrFwCnqoqEaN9RnU7RUJHeRcjWnkC2FHnH8sWepGpYpjBcj2sJxO1xQhUgiNZmG4dsBVdJwV5Rs/ZLocoyfwGJOFIowPsamS9bplrugeJ5mFDLh3GmiEayLkkrPGSmPFAb0mMFmjVOCTaJJNleE2OIrjR+2CGdJ34EwElXUZKlDKEMpBXPlGc43FAHU9JayHRH0oAvIVUKIgqAiSczwsaUUDt220GTYzQlOjJCmJskM23xL0ILteEteFygRmVzV6CBRXiLbhDjdgNki1YoNJcSUrD0njQmCgHARKxJQCsUdIQ67x9poiY4S4T1xWiKyBGE8NhVI2SId+OaIGKegNXGwQGtLFiNplfaSQ4F61xKVx2WaMjsmDSvyskal1yg9xCnFduBInGfWQsjTbqEwBIgFurTgPcmgJHUTjNXI/B1JHaCJkHuaNFIqiGOFTjV5TBjcDHDCcztbMolDClsjfY26dQgj0HrAetKSaImRkCwFXtWsT2rSzIOwBFETpCK3jvOqIaYKVECPGjIUzksqLSilxChIVUB4yIRjRMUmz4giY1pGVkGwRVMywAhDEJGGgnCZ4/KaarqmXi2odUGpRoRFQHlP4Vtui4A0gmIs0WSkwWHCHSo6ZIyIUcMkeloRuRlKpj5DWY2XBptElLcM6pZq4PBGkJkB2lssgrksSWkQSLbyGLOuCcqzyCLTKmKc5crUJIslQpbcjgNTu0HS+WmZTYGKkmEWEENDEAFtNiQoTDQE2RKHBVEKinZDgsGphAUZx9qRsupkZKqhkQH1ROIHCqkjWm/RziJKSMuUYLrFeLl+RjYClW5ZtifkaUWut5hhgdhYsJ5mfYZCYCKwzYk4EA3TsaNSA9bjAcNoGTQNpm65HFQIG1AhxZ1foYeKoRjQtitsgCAjJ3VNGiyaiut0iw6OxMFReoGTOZVMydwAXUqyZclotiSsJLF9QZbfok1EZpI55/haEVaSo2bDMBFUMZCNGrY6MB9okEMMKSrCm0bRZJLVi4i8TQi6wB+P+c5vyKrA6V1DMh2BOAYiHI9pBznlUiCRFI0k/UZwqgvygWTjUpRcYYvA6lXD0DmKNjAoBatvElSUFNWAq9GAMrNYCR8loL3hzXZMaxeINaTvBrT5W+Kx4thnjJ6kICR33jBaWDLVIv2SQb0mrRuqi0CaWYzTiPmQ0FiCM3inaCeGNhXc/mGKy2+JRwIyEEmOCp7QWkwqu2QPb4Yci5qhaLDNCXGR4ZVlPvNk14JhLXkxGTGgwQgHFwVZa9HBw+uctWiwp556rEhaycRqzm6fMBlUZFnN9KVjkzqaKvDKZmzKOd/OV/zq8xGDk5bBUeCpOCc1E8bDcz77iwHJZMFH8xWvh0vefBsoL65xS0u6NSStZt7mOFnhcstELdCtRs/V97whdeXfFJR6DDj6c1/wPvQS/eecf19Elxlt97IppehXdnUvzeneb+lBC9mnrgeJEjvg6o8Dt4eZmX4IfPsQS+nhdu/9Hx/ksev6gev/EAj0Q/vt6vRD+z8GSh3+/vB6D4Phw4By9/cuoL43TO78gEJvRt6fAGM09IFKQOz3MwgUArzHiV0mv44xs/N82oFRLviOabKrA/TAVc/6QCDpTbthHxjvAKq4++uwPegDYNmx7ure4FrILtW96DvaDkCKdMbhim6F3sUDZtuuL/SgVMfiUr1hd1cnJztYy3vfGWbv/KN2Jtk9+Prw3oUQEGqXFa03Ie9yvu8ZYuw9tHp6oJB9lsnukkPsvL12gBT7IH8HunVgzp79B/tsfhAJsTu/oDOI7/pNx47rmDkd26rLnOgI0u8iRRA7yWIPPMT9GYDDa479eD8MbvvxHg/qGSKxNxt/r3+G0F9r10e0MXvwYzdGpRB4untkW9uDmBEfHPT3Zhes78a254+B393xdmPkMdBoP65DxAa3z04JXebEHdByCErtvMzuganu3DuTdCE6dqDo2+w9CWlveE9/L3f3WErR+6l1nK8On90Pir6/S1TfdQiSSAcASyH7cda1rRRdJr77XncvIIzedWMidgxdcdAmsQeBffD7Nn5vgeBgTHb9offtELsOHOgWIe7n7sN/d+VDQNBDr7HvA4M+xI56DAB7OKfs0eQH+3zofI+xmP74HI9vf6zu978f3iX5R+c5BIwOx9uHngU/VNfdPo+9PyilOgA/CEJ0fcbLTrKNhA4+l3jn2TSOu1VFojp24ZPjI14+SRmNB/zl6QlVWbJeb9BfCt7Ol1wvt7TWsVtFkH23PnzW/WtLvDKkqmCihqypiKJFihYfBY10tNKRuiG5jeRlxJ02iLmmmCu+e7ahUJGpUFxVDlKLmXnyOKG81iyuJfKjElYKsSpIbiraGLhRkjacENM1cvwan4NeRIoLGNoxVUzZKIlSNWlbMbtuufOGduAQU4f5vCEbaKZnUE7HtEJj0wXilcEPcrbpgMuNZNQ0/GLdslg8x5eeI33NshG4FMqjkmw5IqkHVOUJOl1jXGTb5tTZNaOi4eV0Qz2rWUfBl9eKzypHCsxNjYwtttY0VyNiUhO0ZSErnuiaoBXzeoXceEyUTM8iQa+p2PB1WjNLIKkEl78TbE4FlU5ZmpST4eeMxYJ4MSI9H6KTArFqmDTdPGV0zqyZUfiEVTFnJTzWOnzrGNYGWSp+sw4ktSLxgrRYUk0GuGLGj7+4xH/iaE8doZlTJlCOIvn6hlxkKJ/z3fiE8dIzXq3I6zmZLciaEfnWU37UsjmteHNuSNcJoxvYrldIE0lyyekZbIee1jRkl6f46LjL79i2kGhNLg2TdyNWJ/DueIvz604+1wyJyz8QRkfYoxOq7HPW0rEMhpAn5CbhzEussqzUinl2iYhjlMrBDBher/DSsB4WTOol0UbqzRD3EvTKYd5sEB8JRFai1Qb0c6zWXKjAX92WDNIadbKltH+D8ppprQjJBB8cIrkjD4Y2QCksw7ohlort4rzLLGYEScyYZxvqoScmLeerSL6NZFdboldEb4hW4PIaVAeH3DlJjCOKBrJKIVAEA1YneAE6rsEeIaJEDb5BrA24QDhuEKlHCEuTBDLZIlF4+xLBEKECoajRypM5gV4lMMwIScR8scKdR8IkpRq8YrauKKoNIb/A62dYNeIuc0zvHIMK4niIUpokSqIaIZoSZWv0ZItpJphWoYdv0LcZocwQU0ljLBvZIsYaLSELiuJ2wuXplrujFR+VBuVWxHaFukwxgwJGGbdTS0FEeYdZQDksqWYLhNCIYImxwYshua2Zbkq2MYM0Ynrp3EbDOvUsZEDqiDGQl4ZCBIa6ZF6MSVvDuNSs8GyEoGTIMwFeKeo4RF4liFlJPOs8lhrncMmEdhmRradoLW9elDidkA0HnMYc47ZEliirEVrgxo5pA6soeTsSTHyCJCXoBJt4krYh2zZsZxGfZmg9BbY0Ed6pFZ9EhyJlrk84Xt4gaBFEBhsHMfB2VPNkdYOgZp4npG5LikM1JXIxQQRNcdIih2OCgSxUpOEIEzWRBX50BEpRVHcUMceTspGSE12SyRKfeW5sQ6UhSbskSIkP6HzdLVSUguSmQBUlTgfk8gkT8Q7ptlyWr9DFa7JsixpPEb7pLBDWJ2S6Igk1XGbEuECoLVOheT0ZcJuPedHWDGyJbkqukw0jN2YUM9zTLzHhDB1m3DiDBZCWk8qhZInXnlvtmdaGUasx4ytWcUrjj6jcgGHpKFYbjma3lOtzmpvnZMeXuLwhpILXdcCtBeJa8BkrZBvxbaQae7bac5FpspCTOgku8HorcaNIPLVkf5/QjFPqswlv1pbpJnK8qsh+MkKEMX41hmmgtp03m14G0lIwvk44OcoIecHGHaPDV4hBy+ZccPs6EFvBZCMI20DUCp1OWJ0NWGc1iIQiswSb8mY7pWznmCpy8ocU/5+/JZ9FzjgjfZJThoTvVpKjeUkiGlyyYewDygbKu4A5CQiVIL4dE2NFENCaAeGpxuuE9R9mZL+okBOLzVtSn6B9gahLksRgnKHdZhy1C7xwzHlGXGYEIbmcwYu5YLIwDOOYGFd4IbAXKUW6JpOO+mZInFS0pxW8yMjvUsZ3midvX6Kzt8hJw2zoeOtrYhv5iT7iV+6aN4sNv/2vL9F/vSZLWv7TVnHsnjAKr3j+I8WT4ynlesv/s5hj9XdU7QVxnpA3lsxLvqwKPB5ZNLzSt+RlQnKX/OB70r9Kvvfw5frhCvO/9GXu+/Z5bPX6g3VWcr9CL1QHHEShiEGw5xrsAgzZ+0vJTrKnlX5PurALgg/lHn9KHQ6DmN13d9mH4J4psSuHx3y4yv59K/KHAdJjwdRjdX34/ce2PZZZ6eH9fSwIecwoenftu+D7UL53KHPcBePdMXvvJiFJsrSXtwmEUD0rppOryR4A4gBY2EnWlFIYk+zb29Ultqlpqm13HkR/jD5jHp2Ua8fcub+XvU8NERHBJEnvO6VQuvOJss6xWi6IMZJlaZftTtwbUe9ieCE7f6A8y6CXpbRNc38PIr1pdhcUyv7apJT4eM/U2bWVO2TwCA5Alvvfgw8dCCElQskddQRi3Bv/RqE6yZ6UBNFJJ0V/P5WSKCGQffeKApRWew8pH8WeFdUBcd2x26bpDdx7P6/ev0rqzrRbKk2SmP19a73HtS3OWqJt+3hYoEzaU9Z2h+49q7hnQx0yuA6zCu7M5veyOuc6NlEP+hndGRPG3oPJek+kA+S0vh+v4mAsWOcRdGyre35OV7lDSdhh3XZA1OHf0AXcWmuS5N5PaTd2tFa7JuuuSynggDUVOxBqNzd579/LkHY4Z+3GWoyxz2ypSZMEFwM+dt5qWnYG8p2HmyP2PmxSm84QHmjqppMqxsgOQAmC3oBekCYJddPSWkfTNj3Tis7kPwbEru8KSRQC2wPEgl4CqGSXnVCbfbsLIXrpY3ftO5N159p9O4peInk/j/X3a7e9b6twIDt8yLR6yMA6nA8PPzuU+D32vceeER8GjL5fNrbb9/sWHh47/vd95/v8Dvf1lX0/5DHj//cN43f7HR7/ELj60GLGw/12QO3usx3bT/UG/4ID4DhErGs6OXDYJTXoAeewH5GdZ5vSaKWYjQa8OD3m6fGMZycnlOWW1XrN7776isvFivl6y6pquiePEJgDELiu6x9s3w+VY6UZPzlifDbF/XaOP0qwJzlvf58jxRqtloyrIYYSpbbMn31Ms/HY24aoDKdC8URKfm3vGJqa06zh2yOItUavDfVpzVGR8iwfclXd4e9yxMWUMlshhg1m2sB3gRBynJlArBhHx1l0fP3JFOqG/N2CY2dwMbISnrP4c+pnKZf/wfPq3VdIZamPNO7dzxjYhmfyD9y9OkNvHLNfX1OKT6nFkI3M+Plohc5hMc5wHztiMoT6M766/j1tu6Kg4qOjBErN639SHP/nO8zQ468z6ukLpIJh/RVL8ZKtFyw333L21qO1ZPNXA0avPya3huHT10xycCrlV/EVo68Dw1XJc/M5v3w2Y5vk/PhSsxi9owyB1W9+gfnsO7LkltP/1x1XPy/YPslI8wll+b/T9mdNkiR3tif208023z3W3LM2oLF03+6+wxmSIxSSIhThEz8en+dlPgeFIpQ75LB7utEAGigUqrIqK5fYfbddFz6Ye4RnILKqcHtokinh7mampqqmpqZ69Jzzn1DVKVXlcdqjtOfTUcPbd2csL3Omb5+x/vUSd5Lz8985hqeK+EBT9EbwXYa/MMyokO0lUuWY/+ZTbvJr8nzGkV/CwCCM5vj3BbEDieQiSSnNI3w85W9//u9sfGDeSH7/bsizMOEpU97cDHDPHbxsyYaBJzrnVJR8c/2YadTnOI7pvf0GdTREPDpkc2aIk0AysCyyNyTa01cSZ4+I1oJ44Zl9UpOHA4rqET9bfMNmqLg4zcAtGeRwsFDcDCRxEjPOMgavNASDjQ2XB69Qs5rslePmyTHxpmX6dkmIc9YHirMXGaNKEVRKnU05/nJNXHuUFixejghRSeTeESORpUZeJ9x80RDSjNQ/QV38mcZHLHpfYNIb0rbm4KamtjXCC2LbIxyNENqj6htUm0DZ4i+vsZ88Bi3Rl9c09QjfgmxmeG1ACVTsKcafYXuadvxnhmctUWFBN4SixWrJ5tMJvesCVQsqc4oZBJRWUA2R8ZogoMwfcT46oxVrvvha4w/7+L6kEO9h+Rn4Ie75axLbokJgbVJGixN0k/Hq5B2aQGzhyXvL6iCiHsQct4ecyzfM5DVeZBzbKT0X82f5W8arPqOihzQxq7QgjyuUhVEUM9QJWfspaxkoaDh4/QdIND5Jqd0Byr5Hukvej/6BoZoxFDcswyEhWESwDM0pPl/hihnFcUrla5qm5smrKWo8Qhz1ETe/xfYszUhStAe0wdMGS+o8smyRRUX8KKYVGZXtM1u0aJGQ6gG9fIOW23H42wVuIGmfRfx2/ZbexvJyKalGU5qspBpc4oMhuU4Yfz2gfT5hMfK8nRRM20uCrSlax9EqJZGSuA8zWxIYkqhP8Zkm1SuOxCvkN5JNFPH6ZwM+3zhA8DaNGNfHZN7Q8w3X0QW+rBm8lki3IQiJjcd8dTJgo2PUMuFlyOnTIp3lKm1BIZIAAQAASURBVL0kj3LWScUvzFNSmfEeT09EJFVg+GpOdfISHxnS1VcU4wSvAqPrC5bTz2jSHlp9jzoraCrL149SHinL2DvSWeDcRGx0RF8OiWcOUdfcHL9l8u6Y3s0Q14DULSSW6m8kPbUm9hV2rjkfaDZpxKfiMcFe4kLOPPsbIj9HhJzX0ROeLtecFCXl4SNuXM7abXjOe86amGsb8SQ5Ry5j5DJjWh5gDwuagw1tJQhXA9pZnz/+THB0Nefkck71MiaYEiEKoquSenZANTtGNSBtA67hj5MjZO+MJP2e8O9fUPqIjZZIV9N3M4b+kn8Zf4YWiqG3XIVXuELCKmOzajEHlt4Lh/5DnyPT8mJS8LZf4BOPSuD73xzgegb1KbT/5ff0/Jijya8ZzP8ZrMbyjN8MY8So4uTRDVV5QbxpGV8F/r0vCUmPg+yEZ+WcpOqhV5/x7vHXiLrk+LVA/r1lPujxO/+UF5M5I7FhlM9Z5ROWdsJ3/hnq6xaiDfzntxya50xly2fiN5yfjwjFAY+qX/Ln56/Jew19ccALk9F3Fq6/Ry+OsFYxz644+NyQjBQiSNx3n5KXmj88+ldUYklFzIv5r/DD76l9yfvffsKpjBhog5wkJJEjJJZ3J0uiNxqx1iwepfTrEm1LVv6co/I5PXfAYixZHn6DMxf88l88Xx0ZLgaBx/lb2kThpeDgfM6foxPOdZ+T9huOLn7OtHzG6f/tLU844MhN6EWGSgc2suX37mu+/3PO2z+XvP99QTto8UMLs4Brhth2RNn8/1G+d58ldH/l+CF20P3th1abH1odfghw2T92f0KnVMeOuDVk3jlDCQjb6HkfDrTV1vNH3wEU2wHx7eRmD5jZz/v98u2+74e/3i/Pj8k6Hpp8/Nhq+cfq5685/v61dp8fYkrdv//3fazuH7ufnx0z5P733d8P8rH977fGxdwDvNQe+Lg/oenS7lhXt/eLjgUklEKbiLANVSY/qNs7GdU+8+LWvPq2bGyNxrsDO7aS68CsXbmcB9HJ+0LowCxkVxYboG1bzNYAm23+d9HpmrbtjPaFRJvO00lIwG2ZJbu6YQusya2EzNs9XxZ1x2bZtuEOFGBHBbi7L3RspLsYaOH2+VFK3DKKggtbgEzcllWE0IFVrjNw7y7WyWw6rsq2HfpdFMSAs3deQHbr6Xb7jHnfHes922yB8ltguWNH3Bmr7wO3/lYiGAJbEGZXTR24qbVBSYX3+jbaYdiCHYJtH3Ir09yfcLPXIsCou7rfASEhdO3rPpi73/a7Z8XdtrM7huCHYEjnH9aBjlJIggh4/5fpss3zznvqdvK+ZYbtg+B3bfwOVPHB3z5TUmzvKSD8LlBDxwKU23bqPEi9bbNbD61AFy1wdz92AMGuXnaRFtUtANpdI7AD6vaAeQJKCNSW9bhro1LK23u9uyG7+rsFlviwv7ttF1t23X0D/P3+Z79uuuT/st/72P+Hzn2oj/zwPcDedrdQ8lO2jy0I3d/3Q9uPvbuge4SD6ORx98/7oXfxfdD1ob93xvR/OZb4y/Q/ZGUJsUP3QSm9bQtdfyMI3bOCu40ICdtABMGzWG8geFZ5wXxTYrRESTg6OqQ36HNa1cyWXdS+TVWRV832Zv3H2FLBaMrWEpY5oyBoa0e5qkh9hJedHLYhUKuANwFX5AgbUKYFHISE1hmSqcULxTwMoShBRbhJylGoMYVnUTYURZ/Ew/Bgw0aU+NThDRCmECTQ0KqKjdMYO8KvLBiHfSyZ56fEruEgXENxgwg9evmA/irQBsus9NRC423Eev6YpZ+Q+poD1cBjT5K2TLTBFB7rIsrVAREblHKgvuHR0tCWB9TG4k422JHFPWuJk4y0VfirmGVS0yaBEKYMy5aBc2ilmZ4eIXxC9c4gVxlCW7ReIU1EEJ4yf0cy0rQ9z0YOCIXEbxzniUTMNMo6sicbhrVFbRRnw2NcJjCxJA2SSq5QMufJJqGNlnhTsyYlNTX60FLpDQOliVcjjJG0sytcvkK+1Mx6UJwaJqIkCoAwvClzWNaka8+lG+BnAYSnmmp0HiHzGL+OKB4Z2mPPTWFQIZB5wdO0YhzVaFMRuRZqjfpeMRmvcZPA+chQZIKRalCy5TwSpF7R2yiSPEKLHHpLKieRVYare9TTBmF6mGzASr1DU3BiZphGoGyEChmJ2NBznqQO9Hsgg+tkdcMeykdopclmIK1An0bYGHQpESKmGQ8RfcdENKQzDUaSyhYxLamdpfaCRdxFT0vDmGvdYBrPYV2RXkHbryiGZ/SKFC0Ug/EFtVrRCstmANJXqCbBLYeg1tiopYg8Iw8m1ciQsIkNwcJgCY20OMCbgBh7QippYkmcLIgkmJXFp45WgblJoc225FpLk/SR2uATQSszLAKdzliqBuclQ1kyCC2NdMwOLXEW0Doi5oTQqwihxVQjSrPEiorRlccHQaUkBo+WBmkUlxNI4oZBsHg/oYdAOkVYNiRxidCB40uNMClt0ietNyRrg8hjnAl4BIUUNOocfIrxmrORoNc40rzC6Suk3yBCw3B5juqXVD1L4VJUE9DWslAVUkXI+BhVX5O0DaZ0IAusNJ3kcCgJMiW0KRttEAE0EUaVeG9o/JCIClUGomVJL10DA6TvUfUcwglEIzEDSZVJ1l5yJAfoGIq+YdGzYAKRjxhKUInHHtT4cI2zkspLklqgW0haizcKKzU9D0iLRJEiyQPUXnIjDGHSAanH1wqVdO+Rg4VmnVoaAXErSXIHjSUyqnuHKInupxxGBQNVEvf7tMuYdYDx4BwhI1ARUlTcVAMilxKcpUkLpAsQHxKVFcHm+D4Y14LzuGEgyR1RLmjGj8jTGa0uebxUZGpIkHAdXWNNRqwSslCj2hbbtOQqRcou4EDfSVRcIyJHEaZY12J8QOoeqi7IbE4Vz1CmAOmQywgnegjg0c0NPhJc9iL6bUUiWoT01CIDPJFt0O6UiAKpChbqGLFOEaVAN9dsmoyl0aiwoNCCi3RCbQRWKoITvKgtKqmInlyirGE9i5nfpDBZkUrPwA64MGcIYZgkBidyHIFLBkyGNzhnaGrDY99Q14Z1IwkqJtUNE3WDOxyjoobNeMXy+5jYWA7GG8ZG0yQRNlKsBzFRpTBN3kVYRdOGmHazQIkakbYUvUDIBHqoeVZagqhJxgtuViOi0GcyguV4RFRr1PUSrmJCaXBTR7YMZC6B/CnJOqMREWaQAy2qbEi+0bhPVmwSz3l+SPAJ2giK4Tm+StGuR38qmS1vmDcWEwYcuj5RE+iFhqtvFTLRPI8zKl1STiSNOEDWK7T3xOGc2jcIAebwknJ1SiCmN17T6pygKuK8RKcjXJSSJzXDpCINNTOfsV4LXFszyQqKNlBVKbVdY7SknyrMpkeVpzRBo3otkU6JQ4/s1XNMnRDkhouzC97PC8Rmyd/8bMQ0TeglmpfTEwbPA48Txyq+4Z254kzNuJoLXFxhs4fVYPvbf1i+98Eg8d7vu+2hQfKPUfjvp/FD2/5q686bpmPU+G6uD/g77RWwk3bsJjWdz5SSd+bbu+vvQI6HJoEP5XF/oL0vx9nfdmyGH5sU/LXl320/BOL92O/303tohf+h+3V/tXz320PA3ccAqn1J3+21th5SsAdKQWcKLiSSjukitjK5W3mVlLesps7zaTsRFtvIYFtwwm0ng7vjw155d8DUtoTYW8BsJxsJ22iM7lYm6LzvJkl0wI3fyl9k2AGjgL8DXhoBKklup6TWOZyztK3tot8FQCmEVltWzjbqXGBrSr6b+HbAXAeMtbcggTL7E+DtVbYAUvfTltG0e1CkuJt7+S5SXedvJG/BDbuLYLj7v2W+iB2oswM6/JaxxodgQdj6Tjm7ZyYtdmDyFsDwvjPBDjsGDR2jTAFCQejYUMH5rb/Y1jR+j/Xit/WsVPiAfad37BsRsG1zGwGRLWCiZDc42XuKPgQQthNdpeStKmyLXxHYeYR9CPzsS3N37XTH4lNK3T4Hu+N2bKpde+vurdhGH/Pbsu0A2A6Q2vnfdfK0LXPEd/vvZH1dWYQUWOfAWZq2Y/11jEJzi7t67hiPcovsdZH1PEIq5DZaYMDfyjrDtn6c97f3o7vnHbPJBY/U0Za5ugXzdkBk2HmCAaKTlYa9etthqLesJyFuAcD7/fP9PmYfiLq/f5/Vtn+P/jKND78/tO2/Dx96L95dO3T384PSfZj3j6X9UxYZfgow9dA7+sF3SQAv/EdBpIcAzx+77h0D6m7br7OHgK99GWon4e4ks0LqLuJqJ6jtoutt77e8rY/dtaGqK86qkrPrGW+uZhxMhkzHA55NxxxMx4gQmC9WXNzMuZjPqesWe699/ddsNo6xtaOq1oyIaUpL3jQMXEQjHDVgZaAyUEWBrFijhEBHgUBNsILaR8THNZVLmRcjokXADxLctM/hYklZeK6KlrweEw8qhocL3jhPYwTCaIQ8QPkGHW66CbtLse4AlmfoAwtPFbObR0x9zgsx4+b9JcKOGM77ZEvNppGsRY1/EZAiZbV8zqJK8HGBHlbwTJAMLU/jmup7qJcRZT4lbgIqWoD7jser/0SbD7lMBK14TdtbIT4pSJIjslWKnRnsdEYpQfpjnuYzEt+g+hmHj5/hmz7z31iMANOvEaYgKNExPaslYRpjo5i5ncLXJSpvuHiiGH2XkDSO+L9bMv62hYXmj+Mjxr2avnH0ckXuVghrebYY0SaXlGbDd+sDRgcVZtjybrhkup4yXg2wKqa4uMY3a8YHPWbDwOzQ8LzKSSNwUnH1dsV0VdJbe76rRvhNjfANi/9jD0kfXWQcFZ4yEdRHLZdvMybKM9CBZ1mJ7DWQ1OhqjZkPSS/7nBRLrlTKu0Ef1QNPRfAtb3qGEYqTjeBkE+HjOZWcsXEJYTMgnh/RDl+hjcH1j1jrdxyw4ZgW7XpENiO1PUYiJnUNUesZIrBA4zx2GGF8TOoV/TcBMol/kmBriysCwmiaw1NUr+RQnMPCQCQJfYs9zClombeClfH0yZDygKtoQyJLjtoVyVVMaBqW/QW96iWRFqT6ihtKnIJ8FJGGCkpNyDOEfkttamYmI1ICrCQyPQqlsGtHVDiqrMJG4CKFPpS4gWCZKk7djLhyqBtHfgo2U+jzhBASICDCNTY9AFJEWuGKGFxA9G6Ye0krDBO9YBJaGhF4d1wz9g09n5C6J/jeW7yoEPmvmKmCmpxnl471BKpUkCCIggFpeHfoeGYretZR25a+UIxchL0uaKc1PhE8fq9Znabk0wy5viKtRkRuSD2WtLpmYyq8fEvfHxD7IWdTyeG1Ra8qbDpH0SACDIpzqkhSDjWVS9Be4FtLkSyJzIBEDcmqd0SFRRSSNiqwkaZRmrOhQTYZph6xiTyxEAwQqFARSLBihOUaVVjiqxr32YIWQVtNafsOXyl8FYiHirURXAXB38shNjJcq5Rl7w1xCGRNxjCqcFFgfWjx1RzrNL4d0is73zWs42ygaNGItmO/KRGRhEDpBQ2KnAx7oBnUms/OI+yjBoJkPI+4SCoQhkndGaqr4BE9UK0EHRFGPU7VgqBa4oHn6/kJlYfJ8BJVfYoJPQwNN1Uf1RgmVUPjFggNof8MszwjyA3FQcCsGvCO8kQx+MaiCs8iOWGTBVqv+fn3jkZPKSPF5XBB3/TIREy/ucC1Ja52lGFE0NDGFXGVYZIWeg0VCXVbIx1oMyUuG+JmQ96bkwwaIiWJZlCZDC8VL8+/4u3TMefjAS/XaxLtiTWsVQ/BhtQ3CPsCJc5QZsNFA/EqIc0N2r+h6rcsB56YBVU0ZDmc0Oqaxil8K3lU16h+jZwWREJRiQPOV0PS6QVRFejN+7Tmj/QTzeEgZSOXXKop7/Qpn2WvKeqYm82AR3XLRiusEMgkZmgWnHDD+vQlLm6YZQtm//yYsRRErmAax1Rpw0Zr2skAu9KozYwGcNLQ+ITQzCBvCPOIciQRRiJcxJNFQzeamPO/2E8QMkNMK9bDPlkpCb2C9iamzQ0itfSaQNok1Plj4g2kUUPcW6K0w9SO4dcxm5MlpZKcz045xaJjy/r4jPDqcyKfMRjnfHczo6g96fhTYnqMQkPcOL76LtAGxeNJn/xXK4oxsDki5I7QrlHqAt9m+EgTPb6kbMdUdUo0WVFzRXA5g1lADw1NoqhFg442JLrFiyFr5WiLNS+Sa64LzTrP2Ig5ysDAaBLbZ74ZktsYeVoQRyl9mzC6+IRe1qAHOTfnc75+tebq6obN5IifZ0NeJAMm0yPGRxkcGORkwO+c5bfVivyrgNA1pOsfHSf9V8v3fuqg96HV448N1v/arSOKiC0zYDdH1uxm1btVennvWp3Bsvhg0rdL637ZHpqA3D9uP1rQ/ePu/35/snr/evsD7/3toRX7h7b7k7P72z4w9GPlup/uD50DfykH2S/7fn3vS/ceqqN9iZ/SujNO3jJpdmHdo7ibROs9ad4+GKiU6hgsoZPutG1767Ozz8SRojMGV1LS3oJenWRQbmV9ns6s2YYOAJFCYpRCsjV1lgITJwi19ZXyDklAC4F1nTm2bdoP6i/cyhIhMfGtfKsscpqmoayqWxmc0AYVRSit0JHpDNADKKlomwbrHK1rO3BOsOctJTFRjFZ3AMKOQSN2slYpMDq6BV2C2hrIh863504CqRFKwx4DIuykYlrfPkfedtI479qtYbW7ZTuxBQR3wLFt3S0hKWwj7wkptlG2OsDE1dVtkAJUhNQaZfQdqyjsQBf3Fz5Kwftb+Y5SHTtKbRlFJjJEUYSty05i1ra3jDmBwG+9oSQCaUyXjnf41iJF5wWmjdqCZQHn2q2EMWC586PabX7rDyYEKAGN3TL0ZJdGJwe0pGl62/53YO2OAbXfxnefd/vjON7KFRVKGZq2xrYt9dbf7LbfsXsG6N2NvgUMAyCkuvWdAtBCoCQILbfPk9hKpuwWeAodUHoLfHVMFS0EVV1T7+rWd14NRnZAshISqdWtX5RHsrX3I4gt808ItDHsGIE7gGRb+m0ddKbuD8ntwrZedyyp3e/7rKiHJHj7/d3Houz9pbn63Tn3+9iH+k0ftky5Oyjvg+1j/ftD75Ifes9+LL2PvaseusZPOfb+9e5/fuj9+DH54MfGCT8FFNzfv+83tg867rOfuwWr7g5oo8iShH6W8asXTzgZ9BinMa/Oznl9fsW7q2u+eX/50ev+2GYmz0BtQGzo1Sk7juXzumWlJPNIcfpJy+Im4uosQgTDuFcyGRRcb2IS4+illrMj6FVjJqsT3t5I3BHwwhO+/oqpczxWij+NBIM88Pg68OWppxFDRHtCciUQDoIQ1ChAI4RB/sMF03HOJ72c8zdj+pHjxfGa1f/L0276ePmYyeSI6/6cfxv/nv/D6DGJjNgEWJ88o+9bXi7e8YfXn2GFY3z8hsMnB4hYsAkFkz9UFNLz1WcSvfo7BqvAJ2d/5uLRcxpliRZfwguJSyI25Zgnm4yBkPSnLcv3gZDHDN0x8meCcljznT9nVBukg9y3jEcVRjramaCxDU0RsfzuBdnxa5LMMvG/4s9XC+ZujXr+nlQfk7qEp29m/Pmkz8pEPPlzi1yPaV3M19OcRHtS33Ly/ob8Fzlu0vL03yTzA8s6hvUfxqTDAfE4wny65Cqbk4eSk/8yZtpbk0SW797+LYtPLtmcXNO8qzi0fca2T1WdoG1LHBoeDxzl45b82PNOPCduStJ2w4A5y+sxi9mYMKpJjgf0j/r8fX/NWRXzvor4xekZTrZULlB8/zcMjWCSOoxVbCYFq+M1wbcYKUmk4m8vEhKdoLOYor9GmIAyksH8bxGbHFbniDiAjkAntI8chCGhPqKu1mxMyyKxPP12RhRrOBrwSizphZZnwbKW4FSDNwWXVgIjUvmER/VbRC0oNiPklabpW1ZflFTzl/SKiqebb7n47AClIo5yjZcCpO4k+/UbWh/YyDGD+gKqhnKpWL/MEVlgKGKseoEWgnF4T7vpUbcti/CW+FVA+5Tos6eEi5JWtqy/aDm6FCRrjV/2aB41uH6NixboWQSlwrcCO30GWUyvd476riHUUP28h7pqca3l4knN0fyQXhMTBnPkTCKcJHzuYZHgm5hyOiS+WWE2LYERTBT0NMJPEIuSpqn43UvPeDOk38TI0YyBtyjn+cpbhkDfO9KrSxhaiB3qmwZEClGf+uTnXJmahcqJwyukGiNlHxG+Y+MOqeyUX25uECuPLWDxPEEkFh21TJuSCzHkTIwZBE3POvptQ9y+YhOOWfCYq+g7RmQchiHfhBWZLJnImuPoESYopBOQnBFsjW8aXicxUX3AaHPKd4MvaYUAUkLkGWA59C1lmdAwpJKHPC8cyapA3cwpH6dYobG1JjSv0aUhXh7yu19fUSUNyjkeX3xBrBrU9HvemIR4pXj+rYZHc7yR+DDEJo9pdMxGAybQa+HZEtr0LTWKZf2MOH1P1EJ2fcz6uEL0cvrZFRERUvRBvSCUgdoGrlrHeLlC+obN0GMaQysVlwPFo3BOz20Qq4bL2Sc4hpx8alFXGts6ro9mHJY5BphPjhjSYmjZhILV8pC6TVDDFX2Tg/S8skcEXZHIil+5JfnrnHwpuBz8kqz/DVG8gPA5c91Qi5rjZsF4PUS7jC+f+47p5xLyEHhRXXLaLtFSM2+eUjQTnq2+5PJRYDEVPH0dKCanFKMJa/eGyi9ofEmjnhJ5Qdw6JudLImvQXpP4N7gY2tiwmTwBWxHaNe9YU5shrRoxfFNDbqCMeFS8w/uUKgz53cSj4gt6+g2Hv3XogxHi+QG/++MluRe02vB3p0uEkpQh4eKbKS0rXHJO3TtgcFVy/O2c8PeGq37Nd/EG80+WVEcMjwY8fftrwrgi//wdQ/uSVbXmzeoV0dcvCTrFHWoej14hG0M1O2XziyW5hkUeI1RCb15x8uUNr3/+Etcr6Kk/kJxNGK8nfLJ6zr/++rc0xnMwe8qTJoLScLFIeOtb/Chn+uszJlGf0Pa4uTzm6POcxAeif0sQ7ow6cpw/PuSpuCAONYU1iLdThFGo/37D5VcD3Fpy3FuRz2taE+P+8W+Iw5+RaoMfTGG2wZeeyo9JhgqTaGIzYVVpmiBIDko+fVvQKy2//zTlhe7RU/Cl+Y6fnzuOS8HqaY/k+yP8KubLl6+gTgmtYq3eM54dMtxkHPKa7/Ip8zrjHycXfNdrOIstfg2HlWPSCGR7hBsUhF5JJD3NeUY+i/jX4xt+Pj3kl+Mj/rvJAXEWEKnlfDTj/c2S8+s1/+P//Xc/OE76r2JK3R+Q/hgran/bH7j/GAvnowNz7kySdz5Q3bm7vbvjxN0Z24nOPjjy0KD3x1aid8f9hcSMDwfN8CGbal9WuL9vf/upkr6f+vv9/P3YOT+l/B+7vz/lGvtMqPuTuf1JyF+EY99J34RA3hoabSfy/s5bByCKor20OtBI0XnR4LiNAnc7UVF30eak6Dg9Pmyj8wUQwm+lIGz5Pl20J+s9WkKgkxRJ77Yko7BlMgXs1vuE8OFk6g6Y6u53Q4vaAigeOmNxIRHSI9iBeF0+W7sFbAAVOrCsiz7VmTd7vxfJUOw9a1Kghb69vm1akFuvqrBlkUmJQt4ZsluH3TKGhLAIpTuDdqO3rCBuwQLfUXKwvjOUD9v/3ne+RLfPmpDdvQhbmRdsIwl6hA8Qdp5gW1AAuvRCQHiQ3iO92wlxt0yxXUTFO1YjcCtDQ3QST7VlfO2kliF4XNiZ3NMxfHYi323UOUfnldQRejzBOpABL2UnrQxsAc6tVE2IOzYbdwBh19ZUJ0MUbPPR1XnHJhIfPBtdOfhgYr0DzoX4sC/ZfwY7BkoH0O1kqx+09+0xSuwCCmwbv9jWy9aQ/BbEIuA9SNc9HzvW2g5K8Xv56NhdO9lguAsesG0H+K7taiReSLQEyVbauhWN7sPpQYhbH6wdcLe/7cDTh4Cj3f59vOc+SHQfXPrYcR8Yqd/rvx4ChD7M4wN96R6wtusDHlLuPbRo8VO2h/Jzv1+/n/b+9/t5fgiY2q+L/b8P5eEvth0T7wGm1O7cjwFW998bD5X3/vv3IUl4B0jtzuue/7a1FL7CWse3ZxesNn0m/QytI04PDxj1ex8v00/YVJLjG6DpMXaWQnk2yrMOjtol+DYhX3aeeqJfIxLQzpMUney7NgaXRohFQ0vD0txgfYpcO6K3NTrvnu+FUYg8EKSgOhXE5ZhgE6wVDEKJRbIOEY+mLYnzxLnHFwIjJL72tPMh1gDEiFGOGRh01BI2hkj1eHRygIunWKmIcVSVx8qWy4mlWpdENjANglIZbBthr1LqKkeqmseLErs4Q/mI1ZMjrHZQO8gn5KGl0ZpikHG1NjSto1+XRCLg44YmCogm0JYeOXHEyiKqwPWNxfUSYmU4XCfo5RJtLc2jJfUwwQnP4eUZY6nASM61o9YRtYw56hfEi5qsNWyYYMw11ljqccOwUQxaUM9qeqkFG2jtCK/nuF7N4mmPvooYxJqZSmmXOX5T07qcIHpIlSD0gniVIPwT0nbBQA2Ikx5X0jDRFYkuWSeBMmiqRcTzwxq78thrw3p0RFVH3fPg50SFIF5GXPdLrCsY1pJ2PSCuLWllqZMZlciY2YxBqtAVHH7vkD1BMB3ItBENpQahE0bzksIkLJMBC3VFFjn6SUJSJ7goUI8dOpbUIZDLhsm6pO9aCC3FRJCHgCtKooEntgJKzXoY4emhihF9vcAKS+3nnIsWSHFugB0uCVlNcBVDQJFyYR+xERajHZtY0JO2G5vIClF5pNdIYmytEbVFW8hshqggqgVFVuBkgOAIZU1oJL5+ilIrtAK/blEl6EgjQkybVkhhUWqDwOBaw2VvwGEE2sFMeFSwCGdY+wlHckYiGqIr30V5E4JskyPFkhAlSDlEuApRt8gcgm0IBFzo00YZvgc+ZNiowasWKRsSpQkyQ1HQRCWFrJkCLY6GhkHjkbqlES0mBeUUopQsxy1eGZCabHnRSU9jT99IKqD2MNwM0Y3FtVdIt8Q1Ka3tMSsTtChIaOi5mihsOACMGdOy4YolPafJVcPKLGiFBmExrHh8mUPiUUOFDhk6tKiQsw5DhK9RrmITElIJ/WjO4Lql8ikFfdxJTpAtytc0NkF5z1FoicWMKquZy5ph3Y2LIi24SiRxqskSxUQHch8orSSqcuLgkF4TjUZErcIox0orrNYI30eLBYIIHyYof0MQljzVLHWJDwpjljjvaYXADkrqFKSO0e0Rui1AWexgiRApOnj6fkae5QQPUTUgagqkEujhhEjUKEqKBKJUIzzo8oI2TmhjRewVjqxbfFaOpWiAhokrEaqltjF5OSAvYhCeg9TQ0vka17rG9SQ4iREONe91zN/TJYNZRdY0REcWnzY4pxk1puM1ioK4rRE6kOuMLIqQriZyM0LWR5gGUbZcDiUuAu8tA5ZYocnlBCfXJC5j5BMYNMjQorzi/OKIFolFY972adKKOqtY54bE1UzdDIRGyQqNYxktISgCmlPdsNxorlcZo1GMdDHyO8iKlLjnkVPBIj4iJafnF+STlHhtOZ5JziYtOgkkJuKyOqQ0AWkaaneGcRq97nOTeZStkK/WXMpziqShHQrqicbX4JcVN+2QPo6RmNFcWKooIag+k9E18dDSPk8IwwtE7FDyANcvKWXJjRbYzGKs4GCRwbggNyWXYU3tC0hhXR7Qu74haTYc1w39mxTrBK8XS56LDcZo2vOExalGC09zNWAoJSoV5DJmSAlGsDkdEtIborYhO1uwiDXODJiUA1ZNi20qhuucNAi0l/hpxZFOcUFxZStukoZKCU6bISwDVet5HEtSZ/BS4L/fYNsBRJrJux6rkaaIA2bpyDaCrFTkjyX9oSfyjktvMGnCIyMoxA3SjcjzFHfdYCqNKBPeH1zjRz1ckhKHFXPf449NRa/4EwftlGE9JjkZ8GgUMWb4o+OkvwqU+kkD7nvH3x/kfmwg+lD6t993p4vdnz0foa3nCQgeys79VdeHAKkfA4AeOm5/EH9/ZXy/jPt1sD8w3o/qdx+oe2iStP/5hyYpP7Yi/rHy/pT0f+i6P3VC8jFmwf362Qfo9g3R99Pxbit5sjvJ3of+PEpvgRap8FsgI7iOARQAFzwqKBDg6YCbzgdJ3IIiQgj8TsolxF4EvS3rCA9BIJ3rKMC3EcoCwvvt/nBbpofKH4JAek9nBQ5BCqRSdGQK8cFEv21bwtYHyYodGNd58PgtOOO830b32116K3VUsvOyspa2bWFrYhx858silepMvbeTfWcdbgsu+OBRxqC0IVH3Joy7dk/n22K920r3OlDCOtsBwlKi9J0RvcWzk2YGuJV6IcQWHOzqw+6ANgJSeYSTnRn3Vm7rQnfdsMeG2D3rOxBHbX3ilLxj9HRRGncSTG4BRB/8FnQJt2DKrpw4Dyh8UIQgCT7gnUVuQTmkQCqN2JOL7YAlJe5kn0p3rDNEl38hPTKoLdDS3bNdm9n3Sev6vYf7HUIn6XPOb43c3W16u3zoLQtLQweaBg/IzoxfiC6qJbu2D24L7Mjg0VIgt0wv1WGZ7FkNbSWQahvB7EOwaMdccx2E2gF3vouOKb0g4LbiK7HNy4fgkJTytp0FdjJp/xeA1Ad9T9hBaH8JMN3/u789FGDioed2t/0YkP8wALQ75w5kf+idsn/+7vNPAan28/rXvC/2y3T/uP38P7SY8zHG8F+8SwNwK+m9O+6+JP4+W+ohEOr+Pfwhtu5flHe3QCQ6vpp3jrZtaJqGr8uS972MYT/jl0+fMBkNeXZy9GBd/dQtita0dZ9Q9jmUN1xKx1wGVt7jUIQQs7ppcEmDGtaEoUQtHGYlEJGg0RFlGhN9v6aNG/JBgWeAXrfEm5K+FNRacyUMau1hKigfSZLfHUENhagYyJoSycrB02nNuK4ZlAXV/Ii8UNzEknoxIpEGV1WEo2t0GugnlvL3ASNiHh8e04hDCIqhrynOHHVkOX8qaE5z+qXkuIj4ymvKMkO9GVCJBalY83xRUlycUfZGzD//FcwuEWWLa6dUvqAWklr3OcdRWstpWWOkx6WBfLRANmBLAydjjKsQoaVZN+STIYkacrQYY648Uq/o/XLG0h/gCsGjzWuGyQkyUbyRgQJNjWGdtcTfLxFrxXw6xagrvJ7DFPo3KaNgCM+g71tUKZnpEU20wfcaik96RGvBsA28V4Z2FuOvarxc4qMjfHKIT74kWb2gtzjiaGCQWQ9rUtZZyaDXoJKKufUUmxG+yPi7gzXruWL2rWb5bIwTLToq0SxIiojE9rg8LEjbimHrqGd/x2DjOcxLbn55SeWOKKsRUSKZzAXTK4c6UTRRSmXGrNIznJEEnTKcryn1gPP+I1T/XxhHKWF4grkYUKuC1XDB0BgKHFc659iWpL4ldY63h4qqCtSzkqM+JFYS1orNaETwMWlhmMYttaq41HMuaAlkqJCRH51hdMW49oylpRI9vreP0PYtPqpZJi0961A4WtkigsD7jjnYWIW0mshq+o1CWpCLBhtynPHgPL6ocWUPsXyGyt4iZUEzrzGtAG0IbkTduyJkNWlaQj7E2phrEka6RcaWG13TxyLawI09pB+VpK0juvKEfgSRoLf2qGSBj2KQTxBcIV2N3GgQLUiP9eCStJPOthGF7qJsClEwifpEIUFR0EZriFpiN6YILU2omFRQxBW1aYjjgCgNWMHioKFVMcInpF++J+71oZ8yHkhmQlAFQbwaMyxuiKoZ3hQ09oDG95mvI+KQ42iogieyFYfO0Q4TrllxLa5o3IRa15T6EmUHGGWJZcGzRUkxjFgPM0JIIFgQFWU4RIWMyNVU3qBEgdcXTK9r1k2PJgywoxqhQVpP0wT6znHgK2R6zbzn+G6q+fyVoychGQc2fUkQGu0lxzawbOHcStJ6RdwEQi7J1IgoKFRSkkcKayKMHyLVtwShCSFD+gu8aMjjlGtqdFA8YcbGaZySROOaJjYYYTDVAFGc4XVD07/BhCkqWEb+PV/3Aq2PeXI9xNQbpBHETJBYvHAUcUw8VEStQxfnFIOUVidk9RgvMhoJiSo5Dw1taHlCS6waGumo8gmbCoLwPDnOKX2CU4Y62uCyGJDIqkGc9xClQY/fkl4UyNxhH/Wx2tL6mlGZok2NlC2NzWmSjE3cQ0Z9hNoQiw2tPUIsc2QRuJpoVBDEvuVQrFlziBUThPiOvo04bDTXA0tQDpzk7O0nVD7CBc3xuSQ/FqyThs1mTC/PmVQLisMRkSqJopy3pgQ/QAfFo9hRXSlmrwc8+fsx8toSv64YpDF66kmmgS/DIRPnmIY1xWGfrPI8mkVcf26JIk+aaZbNCXUb0fOBa2qChXTT4/yoItpsGL9a8c6U2OMIdZiwOQA/s4h3BWerIcdxzpPBW1bvY0yk0QcJh8NrZB/Wn58i/GuUiEjNSzbDr1nHBSJpCCYQV4rhMqI8uSJPKq4ih6lXQMZi85jJ6zdkzYbD/hp1/ZSZlXyzuuRp7EnbPr4y3EwNaAHzIclhjR46Fj7lc3GNiQR/Ojkh7s9JViXHX10zO4ip4j59P2QRlVjfMp2tSBVIBfmhZSpH4CLOm5LLXiALEX9fCWZXjip3PNUR6jihjaF8dUV7WKLihMNvB+Spox3WZGtLVgYSLzibRkzjwIGw/NtlwmnU59QYFnJNwZS8GVHM/0SaR6h1zKtxQTwVpGmP47OWpWz5s2swmz9w6j7lWCU8/zShb2KOhj8+dv3J8r0o+vFQfvDjTJqHJhBCCLTWPwJ6bA1NuT/hvD3iL87Zl4ftPu/7Yuxv+4PZ3QRuHyi6P/HY/35/0Luf1n4Eoo8BRPsTpIekd/cnTg8N/PfT+2smIg/VxV+7Mv+T2G3iLrLeQ5H5HmKu7R+vVCcRklJsPXj2jHRF2KrDPpQI7ibgUimyJOuAKOdobM0uGpveyqcEAS0VSgqMVvSjCCU6rt2i6MKF19bSbOtWybtQ82IPEA3Bd55EIRC87dghoQNopHgYCNXGIKVGa3UbIc61DS5s5VBCIKQiCIENgh2fRMlOYkigY+aIO3bLLfNJaYw2HUuIbSQ2Z2maBqG29S+6tBECFW+lkD5QVfWtxVTYMlqUUsRadz2iVF2+2AIpAqxtt95ffivBc1RVsZ16i72Iax07ZgcsAVvApZMZWtd2LCPXydo6+aW/vZ9xFLEzy7a38rRAtJV7CeikicYQmehWduiDpyqr2z7Bur1nwbY42+Latssj4U5S5j3BWRSdpMykaReJzvsuit82b2obzQ46hpe1tmPneY8RAnzAuvbWbF+aqPOH2rbl/X7wzvjcss+OUnseamx9vLSQ2K2Rs/Vu+9yobXqyK3dV3bZBCYg9Fh/bctpdmxZs5Z1sn5sta090z8euT6ub9taTq2ka7nySPLa1uC0YLLfgrHce5M5wXrKzwRfdDbuV891/N+z6730T+N1z1DTNbRmstfu9DjvT+53/1j44dR+YeogFtbsP+4sNP8bW2d/us6x2z9adZPJDUOohAGv/3Pt/b+/dD/Tj99P8qYsODwE89691f9Fn/7ePHiu5ZTF3rMmPp/lQ/u/n6T4Ad//99tD3vwAw987f5WsHkiulSeOYNIn58s9/fqjqftL2LDZUytAqw2dNRcWYnAnaX1DoQB7B9CgisjWyqvl2dYJROb1oSao+IxlsSEbXNH/yrFEsjAEvcP0ebjpEDjUoB8LySXlGvsy4vDrixH+PmDrcM4l3/4nsesP4u9eMzN+hKZD+e25Cw3o4Yn76lE/kn3FqwDz6Gfr5W8Yrw4svj/hT8w3FMIXnn/K3J5f01wniqydsnnxLG2Ka5UvOf7EmcvDk24i1/5Y2UrSTF6TmS9A5dSR59LvPUb5H/lRRXUkK1XD59Jq/+86SFoKZjrCnFV4CNz300zFBQnU2Y/Jygx8qvo+f8eT3Ff1lxwSifU3VOt6uf0724oY03XB4s+Dfi6fMXEakc8JJQ0LDz/55we8OpqyjHv95MeD6+RXNeM1xqPGzxziXUH7+Deq7J6h5j3j4jl5SEeKG3x4uyVdDRBnxd+aa5Pw5uhjjfvEnfn9zyvmyzy/En7g81KwSyYvfrFmnn9OaY/72/W94O5JcTQSnL5dcq+csmwMe/z//FRsdQXbA302XiHmJm7fUfsDlC8P1swjjDpFpQGSBRkUMfMTARvS/gsPTBYcvZiwPYaMySvq8OGtxpjOUnvc8UX1Cr3hMOrqiTUrquCI7EzhSWt3npChwaUQ1Shldl1S6YpGVMJ6ipCX2OZ/fDDFtn+BHLJ5GUEvklURVXyITgx4fUkqFkIFIOQazDaIXsE8E9ZtzfAte9mmSklCBuImInz0i1xFvLHy63CDMhsXRJSe//wxdKFq95uazQIg0WZkh4jlNY1hcPeEw+y1JvSZ6B+KzY0Qao6pAO1t37ObDPmfZjFDDk6+OUIcbShXzav4zsi++wgwqdPUIoVbI0BCXghAl1EpwFnKeFBNi3+csmfK0+Zaea2jdz9HLL3HhkovPG6avFcmmT3XwD0STd4h0yVxAVhyjXJ9FzxEXK0xZE/Iei8mQsq+Jet9zUFsSB6/6GbENxD4wTgzWCxovmRUxap5gCsFo/CeELyBYmvQFwaQQBIPff4f0U4IZUvziglYeYMMYHb5BVj1kmZK+/pqltMwUXNlj9CQiHWl+9s5z7Uaciz7iyb8xigJjowk4vPIEHQjyOb0W+k1DO1phnaStNQtvaeSEVh7zjG8JDGnEKf3wCmFn0NwQ4iF5MWCxGCPjK6JIEkcxi/M5TR/qR4YXZy/Ik5q3B1f84t8cIhqxefSEo9UVJjOI4zHtVyW+WROiC0JIaTQUsWW8iGiSPpenRzwSX4NqyZOEcykhOAahxhZD5KpP+uaAsf8Kk3p4fMRitAQd07PPyKsISc4k/opv3WM2IdCG7/k8P2QoBHJ6zXfqMeuQ0pSez80Vw9oj3h2zGWnaSCCCYNlzeFEzWl9QDSokjtMzwfxwSp4almrNaHNMr4wYLy+QLsKpmOujExJxjqxLVl+d0D77DkZLBtWI0JRUTeB3iyM+HxQciZLmj0tusqeUgz6Tn3/LxmcUdY/1lwc8fdkyPXLYaoAIndfcrIbDQZ+sF/Nv+oon1zmnM4tY/4z3E83VCJS5xuoSLysGqxnm8hC9nJB//obC9KhExqF9R3xhMTcC/bMXePceW57x9utfo0dL4sk1gz96lsd9Zo9GpP8siUMgihyXT95wXTquV4IXJyeM3l8yePWaN5+Poe6hFgP+dOGYRg3PBxX/9KjkJHL8Wnm+/reMqFwz9hf8/v/8mKGMebk0/Fsak8mWFxRc2HOqvKadtzypYubVlD/lz4j+5g0Hec4nf6741y+OcYVg+E3Nz/SKXAb+oCN6j14QBhH12PH4j1/RDzXDY80/vzIUtSRNAmn/mERZBrxHDFLKZMR5+gL7J4Mrl9js3/jPmy9Ihj3e/6PjC3eGXUv+6etP+ftngr6E5RvY5H8k72+4+m8zDpMB2kUU54Jfi0OSSPPH4w0DciSOmTC4lSbxkl9OBdH6kKoM/Lb4A8nTlP4o5nnU46opWLuWwgq8nKBkxkhrjoSkXyr0P/cRTwTN2PIH3uPejQl5Dz5LSMZvMfEMO5OM05jYJLyaH/NiOGOsCv71f34O0ytEb03z3SGn4j0jecX3JmakBZmRvO0LRL+zRHn63TELcclGXvKElot3J1zPDjj4v/4JbVIkff7L//CbHxwn/WSm1MdYRT8GYDzEfro/+H9olVXspCpS3nrvfGzgez/t/e/3AZD9MnwsrYdAnYcGsA8dvx8qe/f9ofP2J0e77w9FgLq/fWyw/9Axf00aH9t+aEJw/5iHBvq7c/evuX+vPwYS/mX9Q8d42E00tywQbqkltxKfW3DKd1HFgne0ynQMnBA6tygBUtxJrhCSKEnopQnjQY/MRBitO7+ky0vW+Qa7XKPDFqzcSuYQHctHdbPqrRPVlgcgxNY4PdxKBHcTHSHEHfNvC7aJreeRkJ1HEraLINeZ8u8qZlvcPQaM2KYtt2iCFCCkumUC+K0UTdxajotb+esWDejuCwHbNHfft4wsuQN5Al0UEfz2tIAwd5IrsWvrgu4+7fIo5JY1BeC35KhAYGvUjuzINTtmEju/LQlSoNQWWHDb/mD7TBPCVmK5q0txWx9CbOvDO6xtOxDt9k7cAc8EccfY2NZTV2fhlqWGlIjQRWURW4nafjuVQuIEdxK0LlO3gAoh3EYh7NhcoQNPnEMIyz6g/qEh+rYcOwB0m29rtyw9KbYyyUDjfRddbCs/1dqgVAeI7KKTxXGyZYN1rCWl1JbUtJPydebwSu76S26llmzbg997xsK2nvyWCbbr170PgL81JGd3RwUgVSfXpIvityv6fcD2jkUkbhlfOyN/4MG+8i8XDXZPxof7fwiUeGjffeDjp4BS999xH1xnB9EKcZu9wH89o+mnLEQ8dN7H0v0paf1YfnafHwSJfLcIwLb8H3u33v/7kNH6Q+/uj92L/XLfv6f7x8JWnrqV1jrvKOuapm1/sE5+bNu4mLgPvYFlca3QcUsWr5ndDKh7NX5UEeU1sfWoViFtQkxD30o2RIhckTSexEMZUhwDlFoSqRqtV1QLs4026ChKSy0C/kiwCVP6QjK+MLxza2TYwFOLX59TGUHVy9A2kCSWJFsQ6yH4ATQSUR+QBY3sxURjAX2HHFZwlpI3CauRwvYc2nn6pUGXJa0UXE4TjBh2L4eiJJo2eG1ZOQ1RF6moSlv8VBI7x6NFQdZ3xMOYUTLBh4aqdZwpyyQopDS48RS1CcS24ej0mk3aZ1Vr1KbgKFLEcSDJrgjpklLVnJmY1fiGur0huvY4JC4GPZU8HpbkseMmrslrgb/o4b0lCh5MwDYnOGdp7ILqMoJsg0kapvYxvaXHtZblZ4HFsOvL9DdDhM8YihRz+BipKmTTMu5pIKb0wCeaOg/kc0EmjhhMBhClHIRnLPop66OYN9kYqyJ8nPNULEl9zPBtj2GmKVQgT1uS1QLvYOMFzanuvIaCIioMkZE4ZbnIRmSFp/e+JaQDIidI7TWzNEHqlti0JEmMbTzUFWW0pvJ91vM+veWSuh/YDA2n7z0+FTTjlFU8JTUpkcgoNgpVN/TbJet0iog9RpUM0j6RMcQmI1agEo3uZ2ySQClhJVM20fdo4RiONM7WeCeJXA+Rtqiok7VVhxZdOqKmRHmNrwxilaAPLFJVDKO3OGVpYkV0IJFVQLQd67ecSrx2ZHFOr4tIT93f0PSgMIpSBxKlkZUmPXeIuBsLRkWF73lkrDmKEzIbI11EIkEwwquKIC8JgwTBEVkzR8USJyJmg5pJkxBXYELDLPG0ccGkLjAhQqo+sq2JqQBD+j5CiB5WKiYEClOTK0vkQdk+wiXUEkLSeTD2N0eEdkXwFdpU0FQEC2+PeozbjB4JC5mipUOLFWs0qowxbUaaPcLGa9q44vi9QS8dUV0jew4hDVJGjL1C46h1YNAOCYXGtQp/XKNkQAqPC5rgM6TvMZDf08gFlfasgycqGpL1nChbkcuGmdIIZcFAlMZk0qB9i65ySDNKGSHyHq6fE1nJo7NjdHRGSMGYCDWsEDQw0+iBow2eiohsnm6tBFpm/YI88SyMRFtFFDwiFIjNFCcCRWLRssEkJdlRSTSLsLLlyqwolwmaFGMcc9EihCNqI3LRUree3kIhY0cdK2YiQztJH8dNWiHWAWpJOQzUaY01AkFEf9kim5aIgLEdqLccR+A1SWFQIiZeeHTV0hJTZg5rGmKVYxuJ9xoOzyhbTT0bU4k1UVljraQcKpqyxjYVfnqE6wtsL6elxjYjQpkyCtdIl1G2KfO5wfdX+CinuT5EBENpFUObYfIW2ziiJmewsQha3NGadQgU3pObmGHPEDtFdCFwQ0XRj9i0Q4xckcYlm5mg8H3K5oCBvMT6nLouWelj5Cal904TTQ3GrdD+hnVkadcx0SpjTkXVWDZjTRxa1m3NrNK0riF4h/IOM8vQgxYmFcUoEIyH1nPQrPGl4t27A/RRROQLKAqy04SQCkoJF80RxVwj59ccty2R9lweWzK7xDc9fDjgnQ24uKGfOYZ5hQs16A1RbbFS81YMGA4NUSXZVJqTYYNMPTdMeNIr6ZmcXnRF+6JHVbfchDFVKmi0p1poFusxBEvyyTmu7VPUgrNhycR6JiJCrXoMRIxQCtsPzHxFLAXTosAXHickyWFKVtSktsVOYVlAUxoemYjZ9ZTFukd8LIg3MYd1Q12uEAowjjCpWNdD1oXEck5/5TBeMHo04OZAUGQlQ3vJ8LIlJuZtr8GWLekm8Hi5xLRLWlnxxMKN0mwyRXqwoLeBQTPgUc8SNQNM0ePUSnxZIkxFGi4JsiIioVieEuM46F1x8+aIUWwZm/pHx0n/oeh7D628/hBYcv+3/YHhfaCi27+NcCXEB/5Q98Gp+4Pg+wDR/m/7kZbu+zx9LJ8/VPb75d2XmH2sbnYT4t3f/bz9GPi3Pwn5oXz+ELD2Y7//FLDq/jX2GQf3t/uTifvn/thk7K68d8wH2Jtuhg+vK4UkiM4TChmQhK1c7a5d7fzFQrgDEOI0ZjgacnpyhBGd4bNJYnLb4gJs1nk3eadjvijdAT8+hE5OJiRKyI45g+g0vEiCFwTRmajvyrJjfrAFfBASoRRKyVv2zY710XnudCUWUhLcdrIdxB7ItU1j9wzsQKngb719bqfoopOYwQ4T6Pb4ED6YeMkQtkCL2AlkAbbeTQEhfAcudXoyhL+9wJ38LgTYyifDLTizjazG9lz2WSp7ES6FALVzLwrdtXaIE9yyTdhGYrxtE8F38GAIeOuwzoI0t33BfnsVomubzndyy7BlmYWwjcSnVMdoAhTg2rqL7rm9VtePqK6tbQFD58MWTOr6ry1i2AFIAkBh2/bWsH4XeEEI0bWdbVs2Ru8Btx3Y9UHUPSlu+zPb7sLW756Lu37Cezoz9CTZGtA7PKBVxwwEgbdddMvgLHoLIAUBwXVRDgkdZucDtHuPuBIdI2xn5L6zlt+Bix/kRwhQd/21DVvhtaBjjm3T3IFaXR8hbz97f9e/W2v/or+6/x7YPRch3P39GKj0U7aHQKaP9cUfA+jvH7c7dtf+fww0eQiouZ/Oj13vp+zbPR/307+fn/vn7Of9fv9+e77f7fuBY+6Bj7uFq/178EMLTg+BUPtl3ge1HmIi376ztn2vcw77HwSl1iIhyxrG04bXy4jRoGY8qljPn+OygDwoUect2kmU1CgdkQbDqFZcoKAWZC30UAiRYv0UqXNiaoa+4Oo8wtvuOSpKjz316E8Cm+qYZBYzeBdTVV8jjze0X1jc27eUSZ/r0yM+aT2SlkpcIZPPiKoe/Y3AFgdECBgGeiND0oNolOP/MCWXCd9/CtHAMrCWcevQeU4TCW6mAw6SMTpv4VVBMnVYEbBNQJgFQQvKQYHuC5KN4NE3iugThxhJssEQ8XoNVUuhaybOoUyCOBhh3hZkm4bk5Iw/DJ4ztzH+Iqd3rBn0A+nwisZvqB2cJydsBu/xbY56rXB+TIhj/GM4jSsqU/Bb3RK+foy+7lFTkI5rjJLkm2Na+4bGr1jdHCFqyyBuOZy9xJdXNGrO618bqnEnL4//+YBkmDKdGOToCbqckVQbhv0UVyQI77E/S6i/9NTnEjN/xOBlSnxsONSfUI0ts0eW71RGmUX4keZEXxG99ozeaA4eC25iqBLI1jc0bUURWta/HmHp4doeT1YGGQVM4nibHfDopuLk2zVJekSkVhhzybcHn5IZzdAEepGitmAby3q6Ii80m4XELpa0UScbGZ9BPdIUo5RVNMEpQ98I8gtBVNVk9prl4QswFSmXHPQyerEhjYf4nkebiDQ7wGaOWkJBxkK9IVWWceyo1hW2jYhtBAcxImlIVUL+pMFUlnSRY2yGr2PUOsaMHEKvSKJLbqIUJ2KyTCLPA6J1iJ6geCJxsSfNWwa5wjWecrRi2RtSxBI7rhFBY3JDdlkhk23/0FQI2xJnMT15DC6mdZq49QQzxCmDE18js1OUGDLIW2QiaDPNcpSTnsWYVUzs17x+2rCOC57MVgTzFEwf4y9IZImipfcuwSZj2iRhLOZshi0rE4idI2sMyvZwpqbOApiAf3OIKyKcW2MmS1RR4xrPu6fPEE1G3MYsZMJA1ii5YY1Bu4ikiiF7hB9G+HTO0fuUKF+jNmvErywqUiRSc7Q25CKwkZ4DBviyR1glhOOvEbJb3PW1Ibge0k0Zq9e0akmhV1zaCYOyYnJZEU7WrGN4G2eYUNOXMI1TMpFgWouqCpLeMxI/QK4HhEd/JFn2mZ4/oZ1e4LNArCVuUMEmIM4V+pmnlp51ndC7TkmcIBEtX52uWMc1XtQE3yf1MK4LxNLglWSjGwayQGWWNIsQdUwl4DxaYS8PSFxCOqy57lmEcAzaPo2sEbVldGNQp1Apwbsw5KUNZLJinW2QZwHXKjaPAlbleAleDTl525CuGtqeQ7tAmwjefpEwvInolZpYxtTzBtcImsOY2SCnjWue+TXLOqa2Av34O8p3L1lvUpajc4aFQzqDO5U0Ny3NsoXPTxDpHGGWtKHG1xGyzDiMvseLE4qmx9UsUCUlNlvTXz/GOsgbx9N1DxVKGiqCWJJWGzKX05y0WGJyl7CJEnpDQ6QFvT8KKiTrTLPOpwxEi+4VFJeBK/oshOYX6g/UvqIsA99nY45XkieXDv+fJLIpIb9mo1NckxDfjLhZvUdljnSc8vOmZd7UvPMQRTUi8igF8XLYWW2MaoqTgMgDbg1Hm5yrmyHffj/iwIGqLO21JJn0aQcKlzre2AN8U6H8G06KjDLRfHMgOL3ZQBGTmwlvXEOsS44HBQfLDW1ocPEcFQSFzPhOTPniQNDLNcvzHqPJt7gBvOaUz7LvmcqSyF7QfDpg7SJYHVFlAVc2uLOU5ewIOSjI/vYP+N8esyk0b49WHLaKiUsZXI1JULR9yMee66ogbiyfrxuubiKciOiPMo7WNXFrKRvJ23XAFvC/PYpZXUxZuCHBrPnZose0sNT5Bq0cxC1LveZiMWCZC0rzluO1ZVwZDh7/HfODhsYXpOevGF2fEtcDvvnVFXYVkBvPi+aaTbmgEpYnWCqj2SQRk5P39H2frJ4SpXOoJoT8kKQMNOoapxpM/z19mRIz4P3mOYPoew76l7x+/4+M0xvG2cWPjpN+snwvjuOPJ/JXgFIf2/YHsUYbpBIIufut873ZpvrBQPP+/31Q6KEB/scMVD9WjvuD2n3fi4cmQffL9FB9hBBu5Ugfq37n3K10bT+tn7qC/RDQ9LFV8YfK/2Pbfvo/VI59oPE+ELj7vos8d/++7vbdlX0nzdtO4reMjp3xt7ideXaTXaU7jySjdcfiEaoz6xY7U3DXRQ9TmiiK8N6RpgmT8YTL+ZyiLCmKgslwhCYQ2hrbNF1+AKlNF4lNKozpTMQba29NvoO3t1HYbhkw23OF3EqwpEQIhdSaKElvo1w2dUVTFHhrEWIL+AGYCLc1QVJ0oJMIW48fuPWj8ojbKGZ6K7fqnqMOHFNwJ6HxnVm6Z+shtGsH3m8lgvvtRGzrU3WAgdgxleRt2PR9oK9r6w227aRxkq3sUGzBLm26qH5wK2HbgVAd/rSTaXrs7plhK4u9a2R3fQB3RvOJNl2ZCIStNGwX1W5fKrs9/BYQCsGDUFtQqqtPrSSRUgTXdkCdELTWd2XYln83kdda3zKAbLttLzvJ1tbzq2M0iNu2DHem5tAFctgvo9nKEkPoJGp+m05XP76r262nmtwag0spt+1J3EoeO2+1DkTVahcFU3fXdg7X1rRN0/mJeb9lsgnstl2ED6SqAe/tHliwk6v9pXfafn9we+62UxeIzmNre85+tMBdJMAdSLAvh36or/vw824Rwn0AaOwDWj9kYn5///0If/fLdr8PvJ/Wfc+k+33y/cirD/WrD/WzP2UB5X7f+kPbQ+++n/Ju/Nh7+f55D7Hc9t8LP1SnP1a2n1Km+wDVbv++d9v99+bu/+Xlf330vaO/S8hmgXQWONcJ1mcEm/DUX5FHglWkIX/EwXHN0eOcWitW1y2rs5pJbWlSR94P1Def4CbgH7WEdczhWvBoCV/amgzNiYw5OVqihhI3Mnz99RI9CQw+UZz/z59i1Jzx4df4m0dsfJ9rOeD/cjikaj1fr2ui/90x/SjioNIUva8wc8Xw60P6P3uLkClh85I4U8wa+P0cfvGfXuFiz9tiRPJ2wrAwPC0D3x1/TzVs4MDwWeNAeN4lns/+/ZhIwfpX17wNY5xLGFYpvZvXWK+46v0CO/iKpFzz/Pfwp5dPaXuaT/wFWU8SKUvkF1z8fk1+pWmWn3D9N9+RJy3rb7/g78Y3jDLL5eCAgVhgXcWXy4AbPaGnJf/N/Df8YZZxbTW9ZzXOPEfIjDFvmL5SZPMIkz3i+5OY67EiH1qexjeMXMXmT4/ZHCnsoGWa/5GF3bB2lrw55eeLloPK8/8+OMWnNwhd0V/+I2r4DvqXzJII/eqQ6P2QQVJRPgu0I8EX/w9NOtggRyu+ab+nOj6lnZyg/gjD8ZpsWvDKf87jVeDxxnJ9WjOOcsam5usnX2BMRiYMo8vviEcN0cRjvjtltBwwzIf89mCImwbUgWVQbBgMWkaThuHXmlnc5/1ogLx5w1g0HEeWf49XROmAaf+QqEnolznjfI6NFPOh4vxI8zftBBc8MypCPcRITWZEFx1OZURqyp/bb1jagmXV8n8iIQtDSvcY86crarNk9vycRe+ApNU8XsA4HyJTQ/NEsOAM2WwYLTb4tzE+EthPLVExxlnFxjmuDhQhEoyB0TeSuDJEWcr3Lxtcajhqj1nZFaJecrh8jdMS30q40jTPT6l7miu/ZHjzmLSRDONXiGKDJ6I4+Fve90s2uiUEwRNGGKH4xsw4dVeMypLRNzHWDAgozGbB2aMnlOOIZ9G/sw4Jrok5+q4Hx46QKtqzU4QssKbh7ZHiuEnJvODV+C2tSkGkHIgMsykRVUslBwziisxUuGJN2TbULuDbF5hYouMusHGCxAjPZvCa5NJjZoL3TwWmOiQpJoyuV3g5p9Zrfv/ol4z1jCN1TSYV7TU014HitKXXtAzqFv9M4Bnj/IRFeo4JkLaGwdePEb0NYbrgun1JlTQ02ZonX15BEDSx4fWzNa4aIOdHmIPX9DYxw8sJf/5Fj5Ho8Uk1QswFbbagOn6HJod2iKufkPNdB6rXQ5aTHn2R8LTNCOE7Nr7iovUkwnfgk1X8S88QiYqfhRvaqxf4jcavGv70zNH0HEnc0ISWNMQ8DYdY75E+IvUTXtWBUpaI/iXCGwZB86mI4eYMyoLQ1NzYX+D1iOnQMxi+Qmcb7Ehz3fbASp5sSoQ4pNV95pM+tr0i2qw5/WpB3dQ45QknCltu57ejFnWW0dge3/7sCXV8hpYrvmha7HdHFJseXz1pOWgWGCpeHxqe3iiGpWCelaROoJ2gtIGBbTDBMh8FxOIZvp4ye1mho7dEYsb0eshVqsgFfPrHmnoYYfuaUxFQmwZrPf/L3w5I24q0aYjDhCJeU+uKyfwFi6RiE9X87dkn2EjSRJ508xop+6BSzpN/5Wodc73sweyU09GC04Nr/j0riW8ielc9ZgfHVOtANWtp9Rmy9cg6cHE+QxlDliX8evOG+kAwfxrxPuSMZhlPzodc/uwdMg0kkcY0n7NcrDi/eMMXqxZte1g35Q8uoqoUIZd89vdfUWUNZ0JRrR0sx8iL5/yjE9TB8V1o+QUVxSDnqyc3/DqZoGtLfjODE0mbpqzTCb5yRDPF8M8JZyGjEiVWvud5KDHTQPn3BpOO6c97PP7/jtj879/hTUH8TYuYnxLsgFZPiF5GiIEjRCvEv2ZUCL7/7wsmfzDowlJNrziYj2lVzG9fBF7IOcN8g/nDDV8f/YLNNGP88hX9V08YrMe8NAf8y+Yb1s2cf5COm08MbSKY/rnATY+oBwln0wWPq4hxJRjMcqpDj+0HTGIoXz+iuhyxWgSKnzvaRy2JPEN8cwjzlPbv31Gfx6i54R8ciKdrmlHFb173qDcDVJPw3x5UXB0smPcr0tXPOVULRmbNq0FGFWW0MkZclKSLG7LNkqNxykV9wkV+hH3fkPS/JR6+5n/6zc0PjpP+V2FK/dhvP3T+/QGiEDtp0V5a4eHrPPT//gTooUHrfbbEQ+neB4Dur2bvAyz3tx9aJd/t/9j3ffBr56P0U9J6qOwfm/z8teyAH/r9IfbAx+p7d/xDTIGPTd7278/ue4d5dDpudU/+d0ukCR0zxTtwAoSXW9aUYBeVLviwJQl1LKHWWnxe0radwbdEoKXaGqmHzkRz58MjRecXJSGErcSILVmla7zd563Z8u2El52pdweeCfzWYD10zJfQpS9C2ErHxBbA7PIqsN15QoBWHeNrq+Xzu3TFTjYothHMwhZn2qvjnXHQLotbiOoDGRXsAT9b1tMWvJLb8wJdZCgR3F0Uu915W7RHiq0MbsvMEftt6rau7ib9cmuU3bWVvUidogPx2GtD26zvkunKvE3ebevkllf3QDvdgWA7II1d7dzWQ3dvvPOdnxi7PkIildj6QdEZm2/P3vcv8juAZidJlBIlOhZXZ8De+YjtABe5ZS51YCVb4EruMcHuPOt290NAJzOV+4zSuzIq1YGyYZd/uuh7YvuM1K7G2k6m5Nou3LV3nT+VUrpr6zvAia697+rsLlLm7VN6W/YfAm92ddL9C4Q9Fsp9UOj+7ztg8X4/8tCxfwlA3uXvPrh1f7v/+0OMnPtA2P38/xRQ5aH6+WuAox8Dqn4orx/L00PvqIf67R/q43/sPbift4/V1/41HjJS/2tAuh8r8/10HwI9/yNbaEfds0ZDSwTOodyG8thR0zFulF5SCs9saYkOG1TiSEeO3FmCC+gS8sEKLxPEKkEMPJWOuFEJrpgjE0M01MwXCf0mMJFwctBQDRy1ERz3brBxoDg8JUnGDHPJeFWDaUB5Br4mm82gH7HsJ7Q4YgyRTAjLQ6zx5OGGY2+RSvBsJIirgjJAUJIqG6CNJx+vKQ0IFKeVp7lO8dqRPN6Ak4hG038/JTpNcQbGzQrfTLDBINOGSPSRyjCbSuokoEPJYNEw7/dpI42uDPQUspbkdUwcp4Q44lJnvFkVbOqSw8kKtenhXA81uiFWioSUzfATRsJjfEvVK0hXOaIS3NhjGAbsQHC8aGjUmkJYSucom5rEOrLiLZurjGolqXxNoRWFMrQxOBdQhedZekHIgZASm5KZ1SyaIdXSM/E5/VFFNUiIU0dftbwf54zSml5UoeoadTPHrwLT3jHIjDKPiBbnCCVpMkXtB2xCjaBkUJWwCoQ6ouj3aExAUyJXMTQSI2uy+Jw8CRRx4OBti9l45Drg8wxbS9rWEukxtShZuJzDRUS8FvSWjk3iqGWgySAPktoZVB5RRgVWBuoQmDQNSreEJCCcpHGCtV+QihHaxwxYMVeCDTVC3jAya7QuGQTHUiiEV8S5Y5PkSKOIckNaQGg1TR2jbZ82stxEBbgKqXroZoqyIGjQaslmoNn0JKKnSHSLagViFlP2NQFDb9mHXkEQAXoD7KKAFYylxcUtVaoxOkIXgmA9eWjpNUsSX9PKCLzABsOkMsTREKES3EQgNgacYHmiaQcLQqxY6gnCO0wAP1ZYl+IKiRldElYZchMzSZcksUYnMVOb0SLx0iFURW5qHA1HoiYtBXoVWI8KRAXJRtKaFVGRYooYlzqUaEE4ZDFgox3N2CHkmhAvaaTlUtakIRCJDI2l1opZlBCqBhM54omnUT2kqQlCcK1anAgE56mx9FxANgHfdKywOjJI05A0YK5SNskxAoeQljAfEpXQX5eUA4k3gfagYSpSJDkXKof+AB87HAOEiNAhJWoEkZkidA0qZ0YPaytCvYC1RUsYZIEqH1Eqj+znTJsYIwTW9NjEJR6DNIbENKSNY7qEi8MYHcVoJHpdonxLZDRjHJEoqfSSgRf0vEK1MfQdLjE0jSapBUFaqpFnKBSqiQlzSb/WOASrgaS/AqyndBZRRYi2RzFx1E1LS6BgjOs5JIFpK5j3oAqStGhIVoAwnPdTooEnmJLBJkU1fQgJo1ZSSkllHHmzJg99TND0uWRpMnxI0ddXbKIbmn5D742kGTRUWaBK16QyJgqa5XGBbmOiTUawkkVwbLRj5KFRhsJIxueCOBW4WJLOM+pE0iQg5BlKDNAh4yyqYZMiC0OkT5nGjngkeLeyrGQ3WxjnAlDYvsSpG7RMGciUpfXopCEeOT5fQqg9YdESeUPuJMsQI+hDpqgfSWTUYqwhrgY0UUDjOMBjDjKiAKmd4+0hNkDAMhtCXKY8vhxyWZyhaRhOWuLrAmksh6MWq1vq2OFMgq4ioiBpJzE3a0ez0ljZo+pf0wpDPOqT6jmwYUmFuukT1pLlK090lCC8on1UEooaYRUsj7kwEmTNUX7OxeWUtvJEx9fwaAzOMD1vCemKxgRc1cOKGiUsz5shRypFBcVV1mfoLb11gfv+EaoOhFCy2kikFpg0cD2sqeIU6SIUnqskoehFHCmPVCtyBQt/iGw8OveMzxy1KsmPHXkksWmKRDDONyxDn0LFhPcH+FKgQkBFN6wjzcoMiXRFkqyJ4pLiOFDGgVIaWlmBrlhFNau0e4f4WjKKHIiEqk14ezXDpzW9XsmVd9Az8Oh/xeh7Dw2e/5rz9rf7q5b7NPwPgJ57c9f9NPePf2jysw8ePTSZ2H3+GHV///vt/kA3G4cPWEwfi6r2sQH7fhkeAnOArblvVy/dCu5Dnit/Waf3t58yMXgobz9l/0MTio+BgD+U5j74JIS4lY3spHpyZ+pMJ0WCu2h77HkjhdAxQLZwzHbSvJ3wq21Uua20jK2PkNwysZxzOOupbcNqtebw4AATxURS00U0c4St8TYiIILc+vN07CK/BaNChxzdeiWF0B0rRMAHd8sBuvXqASQSsa0771y3/LUFZ4LsGDy7+bb0W/hIScStF5PYM08GL/yWZSMIt0DXtv63fzpgaXsft0APdNJHKTpAxLEDkDrAxrsOlNCIDugJYRtLrQMX/O39lwjCndQyBJTs8qqV6gCPrU/Q/bbQ3fvunnQgkv+QHffAM3W33YFsArChu9OddVEHBD3UxkPYyRu3wNeHyRFCF6nRul0kyM5YvHv8PW1r79o5EJzb3gt/6x90u3+vz+o+K0Kw2+97z4q4O0YrdQeohTtQSm3bLUKgpLoF8/wtQLo93+hbIIctDtvZenVm/0XT0Lrus3edET47k32lUQiEBG8/ZJfBh/LjXR4/BobDh+yf/f5vn6XysSicu/Ls0th/b+zazv0Fh/uA1H3A5CGwbH97CJj62L7720/toz92zMf62R9L82NA1X1g6YcWC35qOXf34Yfydf+Z21/ceQh8fAj4+7F87G8PleP+Is1Dx++3o4eu/x/d3OaQ1q3wek0TIhIKEpWTH0saG3ClI5JX1LmmOTeMBg2xCYyn8FoIzEyQrYDnN8jyAHk1wR8tqLKIepASrlaoUYR+ZHjzP/U4No5T0XB0HJgbz7kNPOtfsB6MeX36lKw1HMwrHrsFq1QThGMaVQwu1mzqhHfjIcpJvDCYJGKzPqaIltwMvydqSsYRfHqk2ZQW3wp035L3J3gVSPo3FIuMYSt5PK94+z6hjS3JwRLrPLrQ9L6fEB8CpuSguWFhP8eqhDhbElUDbBhzeWjwyTVRU9G/Cbw6jZlLiZARp5MUITXzIuZROiSJPS5L+f4yYVW3fKrmlNUh3sbooxn9VpKQsBr/DceDOSos+FpfcvQ+R1xKXjWf4f+Twx20HP9xQaPPKMIam0sqEdG0gvH6HHUzxoWYfFyz6Q/ZZCkiDjTW4ErBZ+05fnFEqFL0syV5FVHaQ8Llmii7JhttWE9eMokrhhT80/QtRQRTI1AFiJsVoig4+d8MWRQDFrMB0ze/QT81FCc92nrCyksqPM+KFc28opobiv88hqhFuApf9cF5El0wjG+w2rMJEM00xivQmjrVNCFgVxXxJyMqIsoafn5VEXkJyjI/dIgxFFPNsk7xPiFb91hOLnAiYG3EoLKExLKRFVEzpHKema14En1GgiUWij+pAoslk5ckgzUJLRPgKih0q9FF4OZog1RwUMTEVwHfGiohUWFII2uu1A1V0hC3KSeMUY1D2w1RVHI9Tqi1pk3hZzRkeaC6hDoOtE6xWYyQsoRU4aZHhNdvMEXFiepx8UVJPTSURCRB4VsofcFRtSAWJUUyoLQWb2Me1RPCeIpIAu1xQVx18vWrlxHKLVEhsBCfMVBzjKzxR4rqZogtBObJK/zmBZQ9jhbvkMcZIk44Lfs01DSmZUlDHlka0/KpWCBuBth5TD5u6FeGdCWQBzOifISuoDnwoBuC9Hg3ZZG1LEc1j+ycoNZUScFsDAchY2r7ZIuWygkWISVuSnqpIxsKonyIjCvaFK50wHpBEIE4QGY9eguy5EqzinpMdEFSGuRlzJvTQ4wv6TUr1PUJvWrBQf2Gd63E9iTNyPEYz9KveSuvsOMnCAZIewimIbWC8Qam/SNkvCSkK3ANoS0gf4+/OcQkgkkvcL6c0qQt9qjiZBMRpCaPPctsRcg0iRrTrzxZ7nl8CdVhBlFELBTRTYUIDpu1HODo+ZqFWHGgHakTqMpQj/u0IqYqUkYNBFVzOXGEZYyqJO0KRuuIJoJ3p4Zo7hG2JW8bkpVBWsXqSGKbFZWFK3uIHzgSEZheRsyGK0rR8mSZo1ZQh4SvXw6ZjFb0eiUH36XUzQhnBdPrhrNTz6Lf4DYe6QxxiBjJkqtkSk7Gs5vvWb1oKfpznvy2z/WpoziK2ByvGDqIfeDVqWVyZkgWA1weczPw3MSWL8oVl5FkSWB4DbqnII1oZ50E16eSkP0RwikhaL41LaH0xGeCv7HP6D3fcPBsw3Wck8uKtQv8Yh1Ry5hVGiHNe1I9IVMZZevQqSM7srx8L2lqz3pdYtKEqlVclYa+OCEklvogRxQQlTFZPmI9tOi25ZFwmJMMQ0NULxH2EJGAGjbcNIaTZcYXr4+p7DXxxPHk5ZpocYPu1Ry/aFkrQeFSaCa4eQJJi3mcsf59RbvWGJtQvChpkoA+Shml3yDDhpsyEG0mtIXh5suKQZ0QTQP20xXhpiYse7Trl7w5vUSEJdP5NW/fCDbDQH/6FvnU0qsTPv93wfz5JTZT+Hc/w+pzsijws3aMIqWQPW5GU17U35BsKq4WvyLpfYeUS25qixxIzFhy/aRBLhOi9QBvNNdZnyKT/K0NLP2KVQi8E1+Q1ZJe4Ym/XrL51Zr145pq2CNkhgjDdL0mlyOauA9nByjTYkyJTjYszSGXus9Ql2SDHBM5Vk81VRHhi5hCLylUBdIhdQ2bNWrdkg01rXpEaQ84v55z+qTgcCJ5o2IYG/TTyY+Ok36yfC9JEuDhQfMPXuDeMfcBpX1m0I+lsZ/W/rn7gMYu3VvPHvhgoHl/wL4vFdmlezuBe+CaOzDqY2ye3aTp/rn3B8UPhSTfz7+UcguAbc/ZWrTsJm8/tpL7Y6v1P+W236+r+5PJ+5PPu4n2h14f98GE+/d+//uujvev82GaajuR97eT+F3UtlsWzfY/cMsM8erOIFuITnLVhQLfsj4ESGXYRa2zWynXFmZABI/07k4qKOU2ApjoILItk6UzBfdbppDAt44QOnNw590W15TbqG4dQhC2zJwd22U/XwRPcI666iIGKtlJ/RBiK0fbMpw6XOjWc0lto66FAA5/CwCJLZtGbPO8g2DEvnk37JyBOiAqhD0ZZReN6u7Zs/vYcRdNjx04Ym/lU7tjlJS3xtjWB7SJ0NqgtdmCb+7WQwkC1rYYrdFad2h88Fuwa5diQAi11z7vWDhqW0cd0CQ+ALZ3z17btndteR+Q2nsG9iO97Z6/O2npDmjpgFAFhHDn+WSiCGQHUHq3M47v2unufkmh6QCe9g4cEOqD50zt9Y87mV/3twP3hOAOlPI71pUijpNbBpZS8hbYUgRsU3deOdZ1jDo6tsaubo2+ax9+2/fs5Kj7UrYPQKm9+t2XIz7ESN2XWu/3ITvQ7j4baj+N+36BDwFhDwFP9495iEH1Q/9/7BoPgWL7Zf7YAsV+29qv04/14z/Ufz/0Xv4YUPPQ4shDaezy9FDa92WJP7RYtA86fuz+3H+/fCyP98vwsXzdz8OPpfuxewpwcfHjnggf2+LkV4TQInzDJJxTHxiaacQv3uU4Gyi9ZxECQyRjIXlDy+DAcHgS4S4brtMxZ6NDwuQ1jxYZL84n/NPcMn2m+fQXEe9/9zW6CKRtwtfqVxz6NZ+7t7yx/wC+IAlnHD9/TmMty+WS6uAUc1iQPTvn8vpTJhv4YlHy7qIiHwwoXj5BHM3wYo1tr0n7v4RC4N/M+WV9TT9uUVPBn7IblrRsWjhoPkFVU+zsmD6/JQ0Fo6C5Gn8BPmFwU1JMK+K+5clhS7V5SltllGvN5ItrDBv4Zs63fAF+wOdNIP/bb7CyQvxuxJ8OYlajFv3oPS++SeAm4t+u+4hfNwgtkf+fY5787BVZUlJ9c8LLZIVW8C/tM/j5FWLSEDcjHr8JRNeSV5cpB+Zb4t6Mxc8cizU0TtI7iVi3MdiYXzYTvF9Qlht+808NL43iII6YHT1mMVmRpyvqzRm69xkyOaCQf+T5ImdSW7789DFP38LBmeLb65csjs8oxnMerX6OTL7B6zdcvNaMXvQYHceI/3LOTXLCfHhA9KtveXY54OnFmLGJefO45t1Jzd+8deT9Azb9Q375fUYxvWFxdM2idJj2EZl/zhdP+7Bc0d4sOHtxzGgVcXwt4fj3bMwxc/UJbe89kbWkVeBRMiQZ1cTTDX9crYjqEaPqEUWcMdqUnM4W2L+/oZZT/n+8/dd3JEmeoIt9JlyHhE6dlZWlunu6e2au4l7ykC/8b/nEB/KNavdezs7u9kyr6i6VlRIyAiFdm+BDRACRKCCzenYv7RwcAO7mpt3c7LOfKMunTMKXdBeaB2dDgucjqrRiphuiV7+hSQoWD19wP39EMEnx72KWXzikmJHOXuP6S7wOcGKAWKYUwnCSzHkYGBqZ8lY8oOPe0Ks0D6YPES/f4KIlzZc5k9PPKWTA4t4lS+dQaHZ1h10XENQNdnRMcvRLfCwo3V9IdR9lJG46x54V1CZlMvwFOj4hxNItHmCyc0TQkPkUjoGqoe1fcP5AUmeCrgEXhCgbMjjLeNtVVInlKLpAFwk4TdEr6V7so8uEi52cgSyIvaesH2DiM0xQM/dfUbkcQ40IFId+So8CLyzaJlgX8Z0IuNcUDG3JZVZRNiG2DLj/SmOOWuyeIVWCY+eYNJ5Pf5/QPvZUDySX7hH9vKafl2QzaHWXOo6Z3ftnWiK86fDw3QNcU2DtgmQ45l22y9ton0++y8iGl6SHF5StYSwdIwn3xs8JtUEnJVNVY3WF1yUiV3RqRb/S/FDeJxM5+3LM+XBAusjZubjk4lNH2PTozA7Ij/q0wYJWnvGWJfiM0O/zqe+jqgYzn9ERHeo2YFppLh7+K11V84lR/BikSBkyVDEdM8e6HnPzKaG+xCpPrWOi2QJBhYiWdE5rUNDshRA9w9QZ+YkkO/A0yZKz6EeevGiISkuD5fv9Z/g44onOOdXHiEbz4PwLlGpBCmqZMlAloSiQ4oKZfEYVCIr+1/TbIZiY0yogsFOEazFtSmQCtFCQatrEI5XjoGmoZmdUZsl02DBqD6hMQlbOuH+yR1JGnBwu2OsXRHHDSMArr1jWnk/fzJhEDY2Hpz/uEXqJjGDxqwVZbAitZf6vkvLoIa7X4/DdXznzgplXPCgSTg5rZl3DP3wTYJKaJvE09nOaboUPa55+36U6aMj3Da/NfQ7dnF234GvVJw9mVHKB+NMOYScj6QZ8/uPvGHX2uBgc8KjzDaGqkbLlnQix012Y7ND//Hc0F/uUb54yW1ZMDhpGDyri8+/QcYPOPP7tEepyibwcczLwsLtLcPCQg29bqmzBfO+ST/+XAbY/YfH8Lffe7pOUKVHd4Z+iCDVQ7B0pvv7nmuGy4Bd2yj9n96gO5qjnP/KrlxYvPaM+5H/aIzKKvY7n1STEpZLsseDgxQxZ1jS+5oevnlLS4s/eEDw9QlcB0V9bvnp0hDOeH96M2Bl26HYDDvY1/zL4HtNaHr3dY2B7uMwyfnaG+6cGmhY+r7n/NiGsJLOwplc/ogljvn+ac1gUZMaTqIQXD2JmLqL9L33SLzO6u47PoleIlytvl6efpFwEC1zt+OzPRxSPT6jThursCfNeiRMND75riWkR2nC5U9Kt9tCyy/IzTdNe4pYF4R8ypr/exzzM+HReUgUaqz1H0TEvvrdMTyT/0DzgzZcLxg8qDpf7dI4d0RyqX8SI+g2yOiPRlkIMWao+b7sBn0QF93TNd75P/WaEP53xbPgZfrnEVDmTXz0ldQuydsb/7f/yhw+uk/5m9b1/66nhbZDi5mLy5gLxNhh189rNtG5uVG4DPzfzugsY3YQpq43d+7DrrtPwm/W4+f9ddXu/fW+kgX+vbjc3ejfLcFf4UNk+VJfb+uFDJ+x3pbkNmz6WzvuG6rf7emNqekvCZvUPiGuPcWxhhut6rKJtPKxtYnhnuVLtW0u7bD28Uk9bpylgZbeJlWFrz0qaTQrWdo1A+LXUivd4JbY8SYp10f1VWoiNl7GVRzq3GR8IpNTIYGWIe1U5tYZXcu1eHaQXVzZ6PBtJltUfK8jh101zY2O8kRjzrIHcunG8v2o7AbBRnZE3JRrVOpX1JtBvnlipp63a2q7V19acdWMXSPproCg2m8iN5MVmjKxtG7XtynC6++km/VrFb5W/x+G9XQFJv+7w7TbhdpUrecvcsIEFN8ep9yvbRKv7W2pFa9gp1q1grMXbFdTZGHiWm7lpXRatb477n0p3et5XrXx/HtsYI1+N55VtqZXR/NXzDudX6nqbPm1asxrjzqGEwHp/pQYq1rBy84749dh3ayi13fbbf78ndSrYKt/t6mi32We6C/5s4t98/i4gcVcat0Gh2/K/TRXw5rj7OdDrNrB/1xwphPhJvjfv35Xu3xK2x/Amrbvi3BV+zjx/V/zbANdd8/9tfXdbe94EeT/32Y+V99/axrcF350QVZq40jT0sa1FlI5xNyYqWoK8pedBdmDR85i5wLbQjjz10hG0kiMbIsuImIBFJunPasTccvpCoOaephIsDHQ+vyDxAX75gKjOaUuo8j3eJUuSoGXYN5zFLSJ26EKyl8f0RUNyL6dnHVFS0Oue40pHrRSzuIepPYkpGWQXmIGiiDKCJEKLKaEzSCRzGxBZ6OdLqnsDhE8YXBji/hR8RDhNafctMmppJg15VVMZRW4dtVyidAPZHqVriZoZam4RtsLHhua+pyM9gdHoiyN8UuAOLfudOUHVIOoQqyU7jSUKatqHOaWqEEaTnEar76Oo0GGE9V2sCug9q5BeYUVGkIdQl3hr6I4FVW0oveCkD6JN8Fby4GFJr/ZIq5g0Gis6RIFmp51ThpqyAyxDCEqkcNz3Cygsk6lnzyrMcoYVBcPBBGkDnNmn2DdQWfI3BeHeI2wH6M7R8hCTOhY7JfU0xo8D9howWYWXJaoaMzcpGs1QBaQVKFMTMmYSt3Sqho7y7BiHU5JxFnFQH9AJU3S3YiZrTGAoEo+qRkgTYpsOZVLhgwgfJpShJwygUoq2EjjdIIIpnSImLgO8EZwbkEtJWgesRgEktVsZP9YtdXeKVQEJJUoJWiS1CFjqlAMqYmfoNJ5Kg6uhu/DIfowXkka0iL2SNmhZ+pCwXaJchBylmF6OQtCdZkRpgRM1i46n0CO01SSLBBlGWAmLROKGAY2RzOKaMBVEEhI1pQwLpGzptRYvE5wWkCqyxhPjiSLJYt7HmRiZ1nS1ILIBwXSHKmxwoSPN+2gfIrUgdgrlungElagwqsKJimQ2Q2qF0QmRCkBYKhSJcBjV0FITNPs0ImAZhCinMDqmTDRtf0kZhjQkhPISLTKiICY/nOHCPr7qMowtWVATxxXeBMhoSRAWiDoizgV62SCbORWSPEyJgpKkSthbxiR1gbFwSZf+uCWVgo4O8DKhCEqs9mS1xNQZleiQa4sMGiIaBlITk6BkDx9UlB3DhQiYh5rMpKQEqNkYH3p8PGBPJMhKEy40070WaVsC46myKdJFxE2HVAqUCpjbmGya0cqAUaJpgxphC0yRU3fmCGmRBJigQlpJ0Oyi5IIm8FzEGs0cTUESCfJggBOKQdlDdnPQLeHU0CGkEiHn0qGXewjnOevNGFhF4AMEBuoKL1vqboSRLV4o9HKImleotmZX7TBLDK2wpEuBClLQIa0TzPwSqMlEQWFTTBWQXFzQ7eWEUYP2nnlHMAsU846jIwKEUcy0J8ojwsKhzZhBx+NCgX5QMDcdahUQhI6l6SBrjUpOqBaOaqnYrQbU0lMLkK2gWzgCGqzLmMeCZd/QdxdYa2kLt3q/wxa0ZXhxSWJm4Jeohxqplgi3wMsOSSsY5oLlXsvSOMq5QO03KN8iGkd7nhCIhiQ75XS22g7I3Za2dwnaEM4N1SQl3tFEOzVVVtDQ4EPBvkixUmDaCZR9wjJksAwZ74PrdLHiCcsmoQ00wSBg57KmNbD0giOpUX3J8TBEy0tUmFNPHXOhCVtPem7Q3ZWHuyzy9Gct1kFgwIgQH3vabo6fe7SCuCdw4xxdSGJjuZzN0NpzuLektRmmsPizArPcobINi9klZViDDDDv+vTbc8AxdTGnewmBi5AqIbQBwjfsLedQCHIRMB9mLG2GkwGDJ56wNcTnBhNYiAVVZJmcLzA6JXSKRM1ZKE0dSFx3ShS0CAOoLo2usXFLuZ/QvlYEi5qdpYHYYBLBhUxpZw1WG8qkoBQCh4OLnDAMSA5C5DikrzzaWYJ5zDwCM/SE7xSDriTNBFOZUtQhRSNQomQhBMon7B0LpiPNMo/In2ZEdUkwN/SbnCSvSRf27gXSOvxX2ZT6ULgNttypprcOdy1MP7SIh2twsS1hA9ee9jabdQDpVxvvD20athfNVwZY15IGUq02bB8y7r29KP7Y4n37RPm9uBtxFfHT+HctmG/bJN0FzX6S31bYvn4X+LoZ77YNwV0bwI+BrM39bYm01fXNA1xtmv1ackaItSc6sbIzhbwGWdcJsKEU+LVECWtwIgG/9prnN1AF/17e3nOlnsd6k+8Bs2kjzxpNraW1nFur+11LLrEeVxtj5Vd134KhdquycuOVL1hLUzi3kpASclVP4a8lpa7U5TZ2lfzKw5uUq3rKdeNtWR7atIMQihVT2QCT9XvAFvRTaq3etwYvcgVA/EbVS6oVNFq5PVz3gcQbA+s0hVjZM9q0o5L6Cp6s+nxbTc9j2pVHumYtJbb9fl5D21WfbqCN91ypVoqVXuFanfLG2PNcSUXelO7bBhM3JTE3Y3QjCbR5XkqJF5JQr9sST91sGyW/ltLbwJ3N+H5fcpArwHSV5wZMbUlrIgTSWZwTWOvX9RUora7acTMOcGtbYErivKduW6RzSFYqr86uVEa9dUi9gmvOrT3r+ZXh/p9IRvH+e30tFbd2SiDel4a8CXO2JYk+Bllugp67Dhrugty3gYoPzd+3zXvbZbzNWPdt//8csHMb2Lp6D/+G9P6WcFt73Fau7W/szedvgqWbZbt57y6IdxdYvC3N28IGTn7sm3MzvD+XvF+vvyX/nx32RqSTLv26x2uxj6zn6PmM4wcxOwL2CkNfKOZduLy3UsM2SygvPDPr6ZWChzNFIGKmOyGnR4phWjNbOF5cBDwTgtIrzkTA5w9O6In7yPkXdJffsJymTJoDRulfuD+0POlFXNYNqrREl4qjRUAyqIkezxl4jQ9qZH9G+2aHeZBQx0dUM4hY8qD7jsuDp9S6Q+y6JMVbrDXkKmRiIjIJ9+2Ek4M9vPWIiwnZ8BxBgL54QnzfIYyjfgFzUVNKKJVm4nOcVLjBAxJ3QZSXmLMGY2vaQNA8dfQvHXIZod7ts/jkJbZTcs9WdP5SIS8T5ikMC4dSLcWXU5aNwy4l8bleHTq5FhHWOLWHiyMGvzqhyhXNcoD/cRerR8CS3WPHvCmZq5bvBw1RHdJpIv7uU4G/MBQzz7g1ZDKlE6Tcs3PGWkNksJMARUigLc/qgh8WFSfzlt/GM6qlwzeC3U/PCOZ9fP6A4vGcxYszipMl/P3f47qvkfEJXfc/YDtjRtGI+rThaKa5fxoz+Xce25bI5YILcY8DFIcuRjcS4SucOuZPsuK+DLinNKppOQ0N7/Zjjt7eJ0sbdjoLVNVyGVrGkUOUU1yzR50f0AxzwiBGBDFlnKM6jnwgac5CZGwIBhf0Lo9QtaJSjtNW0Gk0T8ch030QypPmglI0lGHDcn+CCjp4JxhEksZE5CJmHMXsySlRY9hvFGeRR5aC/TeWUqdI5ShdjjisqLThQnR4xCVZnRGff0IbVSgv2TmP4XBKmVVM9yROHpOUIf3xPWwWU8WGUS9AHkDrNNO2IE49mXAYeUahW6R3CFfgtMQRYjsR/aJElh57EDCf7mDaDJ6cMCCAJoBRn8XBGU1Qs7PcxSuLix2xC1E+wSEp5QjjW6Rp2Zue0ET38GGXrpPMwx6ljuniqcQprapI2z5VHFKFMUeVgiCmiRXV4ZglKVWT0dNnhD6lI3dZPrlA5xnh4oj9+BwVlghVUIcRMqrRYYMbpWSjlu5Fix1OWaZ9LtMOg7CiO43oXEqCdsrIh4xcn52LklTEmDijPVDk2lKIhvvLgMpk1L5DdVgg5ZxINOyFAUponJB4+ZZlZqm7IbXv4FVCV0n05AzCDrZ3n0OlCGaW4Ljlv/QKpHXsNpLp/piuD3ngoBURrYCJj7l33mMhJW8HjqprCUxBUI6p4glatnS9oAoMiiEqP8IHiio0nClF0I7pyZadruBCBUgb8TAfYPsCG9WE85YdCTMBb33IJ/MjvKj47uE7VNGja0A5CcsCKwxFkOBEDVYhF3uo4++Impp0Z8A0djTSs5tLXC+kFTGlFVy6KdYVDOySmTnCVYqHkxnqeU6Tekqxy2hHkBuP63r6eYyrJZPQsztNyZarw8NBqAj7Ajecc9lkjF3IQ2WZlD1skfE4e0152jCfOeqdHUxosNLgdMGwtIja0doO49hwOWwYBieYc0UxW9mVIjSIwHBw1iDaJa0uCJ8FxHIJbU4VlWR1zW7jOP0MinMw5yvgYVuLLSXtyw7ZwZTeowv+eRQQp57hUUUpTxBTR+9cMzrvIVVFtAdlvKBMHNV+yN9f7mBVzcxcQN0lnSvSKuaP/0cQukenesjctKhBg3pasjvLmTnDa+/4Ihuw7AlefhoTz1/ili3FhWKhE7q1YTC28GmOigXaC/ZPm5UDpLZlIR/QpmDuSdy3ljCEnU9Tqr/MobCEUnIxFaQd+Ozxgtcn+5SlxywvcOfPMa5h0b5hvDtHmi6HF88JzRifCkpSzh70UGGXe/VDiF4SlzkHfy0Y5zGLMOHy4QBnO0RKsvv5Av2XHDVuyZ1A/spTRZbLf2lIgkPCIEB1v8YGezQyIOqcolBIYmSnTx3MqVNNsb9D9WZGmJc8H5foBw11JniZZDTTJaLKqZ7MWSqPNY7mlSd6ECF2I1Tj2QksfWuYjzQXh3DZ8Rz+k2HnuSc9lLwQfYo2oG4cgZgzcR0WTYf/+ZWBWUTZaiZpwjBUJM4STnOSWUM8NR9dJv1vBqXgerG5LV30b1nkfex0+eZmZFs1DtZb8Otd+EfTg2ubUdswTUm1lsTwV/XabE5vS0PKjUTPLZuVtbs07/yVEeObz4MAt8mPn9Tx5sZpe8H/IZj03yrctaH52IZnU/6bfXCbdMLmb7eWEhLCIazlWtJo9bMBUGEY4rxfGbn2Yt1uK2kmKSVKrPpspQa2sg+1ghmAW0sdiZU+/UqwZN1P6wFkvV+XA9or20F+bdMJvF9LO/j1hp+VtzmxATFrKZhAiqvSX6n+ybUdoq1m83iM3WzcJUKtYNRmxKzayeGsX3mPg5VRa9uwpj4o1obGpdp0wlpqawXepF+pxa0kftaAiDUX8+tStg229TgEWgW4QK/sDYV6a/xupL7e37SGYbRWM7O09lriSkqNVHrlLXBLNUwKsY7vcGtVOCU3knGrd0EqCd6BW6lWbvCjFCtQ5wUrj4LO4V2LUBq3BlNbW841rFsBzfeAk1tJR2mlfwIgnHNXHvC2YfiquRytFQg26oHNuj/FWkVyNXbeVz9eGdJXans69nhnr+YXsS5707bveaq0dgWNNm36PvxfQfTr0QvOrtT+mqYmWF+0fiX1ZZ3DerDtSmJQCNaG3P0VcOKWjfx7Yf2+sG7DTYNvHxTcJcmyHWc7bM/ptwGM7f+3bVP9W8KHQMWH5rWb4WOQ7a74N+0Z/tz8/mvChw4qttviZpt87IDjbwU8f0s9bwNONw+7PpTfTUC6Hf9/q/YWXYGqKnTokWYX21vghjXhCZQG3oYJbfOQ4EKRjD333Rtm91te/9rTu9hjPI45HZV8FsxY5BnjNwn6twPaZYo67dKkS5yK0HoHfTkj6np6934k/u4+g3tLjn77NX88DRHfGWYXZ+zqZyz34NUnnv7e9xQhnNFj/qknvWg5+ueKy/kZc91n0cv4SudknRqfRiRNjR+PUC9OkPcCAilIypoBLxHZkOm/e85XowLcktMvTnlGByn6jD4ZcmE6VELiftnhy9cTOgL8gwHYEfbCsnxVEz2xBImDrmWe7FBFAZEM2S0V0dJg3QvSZso8N/xxmtF5EtL/RPLl7BgfhGAPefTXParymAWGrx/kPK4gO1NMe5ZE12inefN/vcf8S08xqCmDF+xGBb1Q8ddHv2LAJZ+WNef/Swpmig8K/nNH8DC9YJgu+e3eW4rIUsqArx/8Ix3tiKuG0/2Q4vVzpqMO/7mGvlww3J/x7/e+4cHoiE/mA7pfv+Vy0DLvd3jUP0L8usb9ouF0UVEvwc8Vg84/U5QPWBTPSPR/JgiHxGqfwz90mIT3GcddJp9MqNqS4qRir1thkgc0wSOe/H9fIH2Ht8ED3iQRdTDCRy+wmebtcpe33x6QftohGNXsvyqo0wl1bGgzh812sAW40TnmGahK0BnHlPGnSO8JF4ZTP2A+aJj25/zDbIdYKRaPA0YCpI/olg/ZHc1ANTQ9GBmwoWPUbXj1l6fIwLDz6B3VPMa5CBVJynZEU4fk1YCDb5YEwYwme0OSp3QyT/qgwD0PmZmQcZPw8FVBIC3FZylJeEQqaj4zf6F962ic5/iBIQ1GNEJx6e7xIJREwnOuDc+RDKymbXbo1TOkbWAhucwGNC6g92bJeBBgU49GsJu9gibmzexTDgNH6mta9YrdkcMFgvLBjEm5hzEpjzGo8A1QsZN/hZ0IrB8xOzyne1aTnCUEjaJ+2rDcF+zwiE4OvaYi3/tPyGKAnPbg4jG7RxO6gzl7dUaRTCijC6LlZ8zCgKl2POUxIhjgvcYWGTZsQDeEuWcsDWNlKKNPkYMliZrR7qYMVc6eHKOMRHQnyG6L5wGECofFByfQl6i9gN0/11hvMaFFfmFZqIATG7ETtLj5HhfjL9ifLah2x0wfntGdfkEQ5izTc8x8l1IUnO69w5svCZwhWY6Y7R8QD2Z05A/sGIuqU3rtLq/ZpUkC0oOI4N1n1MmYyd63uIfnRE3E53WG/SZinra8evySo1ASuSF6+Zy0nNEGnsnuhDmXIBx7RAzbxwQ2pBVg/JxK1fy1L3m8MIgy5o3+hKPxC44Cy05nD2kNpQkYfP8L9P5LjMyp8/uIgxiilqmqGcgSfMOpqgjCCFlp3Pw1PWKIBF9/+oZH02M6paCDY8enuECSOAedJU4ozI8xZ0VEoUL6f3nMw+wFrjPlL4MhI3tO0FaI0BJOB6TzCPlliE0dtfAEueZ+OKEXzXnlJXW6xMYOM/wlR9UFn7R/otr9hMOdOTtZzu9qQ78q6BYOlyf0Ti7Yu5zw+lkPO3ZwLhiLIVnnnCCY8ad4l/r+IW0/w/xRkh1d0t1XPJtnBEcj/IMLOp0uvWqEWh6TWccr+vyoBySiQ1bUcBES9mq0myIuG2DO/nKPw+ohvz8YIacG8f905P8uJsPxsHAUyQgVCfqJRnlNc1+yeGL5rbtEjhX+XJDPKubJBef6NcEvhwS24ZGd8aeje/SCJb+pXvD1Xw6os5jgeczTi5A8KPldMkZ/p6BN8GqAjwV90fDpRU73IGcsPF+PjzhsWzpVQudPv+K73RdUR5IofsCXu99hVM4/1cC7gDh1iL/LKd6+Q80dezPJcvkpdVdy+Y9/Iagj+jbil7bkzb88ZllnjLJ3nA2miI4m+u3/gcf/+ge67Zgfsobn3R59PO7sgtGnfcqnMYs/RPzWanbDiHv/0x5ReInXY/6zTPn895bH55ZF1jC+/5RFZ5fjBxm7Jyf0jqc8eZfy7pMu+ZcZY/Ua1zjEQvIPacurrmceJuz88BRlvqPhGBE17FQ7OBXzSv+OeqnxZcCz/C/0/AIXlBwmXSay4cy03OOEUbzHWHcox3OejAseLCY0zwKqcogtd/ikOGF5UPDuMCb7+h5+MCJ4sPzoOum/ife92yR9bkoe3Lx/2+L/Q/ncXOTfBFE3Nwy3LTa34dTN+DdP22+qAYr1ZuvKjfkdC9htKQ8+dHLsWUk6bG1Ot8MGdqz/uVYl87ervdz2e5PnxxbZN+vyMQmwu67fBR7v6ueb+d205bV9sr5KY+ORjKvN8QZSrPpsZePH+xWEEhsT14IryZQVp9205TVMsvhr0OVZGctewxu/VhV0Yg0I/Xb+7/fNNVFajQHHqq+9dytLUx6s23onpMRv1O78NQNaN8KNvl+PKe/Xnu9WEizeObxx13l7t4JnAkCtxpkXV/cFrG1ubTb6qzJej5WtvhLX6oUbSSwnLTi5AoRubSB8m/qu1cA2438FpT3W+TVs8uAcSjiEWttC8hLrVjaSpFKbar73nr/vsn1t0F5uAQzv8WLjIU/CGmhtvAT6TRdvScBtpIk20Ge7A64UQG+MxZUdpi3j5tvA4qrJNwBK3cjvfXtI28B+BZ+uYq5G1hWUWqk0IsR77bBJWW7mknXaUq6gutLB2g7a9bsmhSBUCuHcCuBau+qbNTzzawm7laH2bYQnrsbiXbBCrvVJN+qE16/U7XPTzb+3070t7k2JmLukmj40V31oTrz5XbmZ3l0STXeltZ3fXfX62P2bZbhtfv1Q+NA39mPf3w/N23flfdu3+i5JpZt/3/atuO3/29rr5wCm29rzQ/333zKoFhrnWUiLSy+IIkMsu+S1wKoGERv2tafRgkorjFCE3jA8d/TigCq0LP2CygVgEjoyo6SmdQbVjKn2ElytiS8bsr2awAhaY/Auo5GGPNYM/R4+MpztdzgoLHHg6EXQBJaqDbiYZiRhi5wa2iZnEXfwYcu9+ILLTspEKPRFQhY2eARVKknKCuVA1glmRxNGMPQzmrim9pZFtMdx2SEmIRSCnfMFVaCY7vaRmUbULWY0YWZDrPWEyZzKCYyUqKwiaARUEGYZjdVYYfCHLSU9CqOIBzFdJJ1G4fOQ5QDqqKVNLZHoA4Z+ekboCpRoCbynTi9pzBLtLF0pSZShaRqCrsOlgvEyJypbdN0g778lPwNbWnZPclqvuQh6tPfmxIT0bEDj5ogmxzQ1/SIldBLRNXSmDULOKPsz6jhmGqfIsouv7jGTS8pwxsEbhYwNNsyQSw/W4p2B6oAwCuhmBXrWw7guU5cREoH3JMyRQYVQkoXMCEJDZEuS9gK3W2PMBGMNOkiJWRC3S2aDAYUpkWaEajMiCpJ4jKgSXCzwnUtC4TFacJFIhq0nxrHoOMbhfRSW1C6xZQ/faKxJMGFOowJaIrQ/RdBipCFPFU52KHWHZSBxyjM3jqw3x2nPXKUMVIsxmny2gywDpIdyeMHIB4RaEWcprXUEQpIWe0yiObmuWfiSSvTx0tOGmtw36LJmMA5plaaJEkTbQ+NxyuFUjW0NIYoHckA6L9GNwbc1RcdiA0+oDVQVgTOIzKB1g3eCYjogWxSEztDRBl04LJbZQBCZHlpoQtciggYrAqo8INECoT1LL2kTj5OOVMc0kcPGFYMaWiQVERQxS1JMVIMwWFXhtWRH7CC9RXqDSloi7Uk8TMKCYm2QXZYNWs5BeioT0vouTil2w5LQK7LKsVALfJajdI0VMXUZY5qQdLdGyhDpPSx7aAFdYZh3Q3QAWSMJvEfKAIIMn4fEtmW/buiSkCtH1Z1gZUKd9JkbweEkRaRgoh67pUOGDhELbLgEUVFFl0CMsAtUU5DbgMBIYhOxey4JRUvg5iyr+1QihnIPygjlBKFyTDp9bAQ95+kxIUKgW4gXHicFlY0YmIYAj1QDgrhBUOOqilYIWiWIhGVRdcAG1KnD5V2oPVKmzLMC4y2H+ZggCNFSEHFJqVucMgxMiwtqjIBMDtD5CFsbxp0Opm2RrWen3kHnS1xbE/iWbg1eSoQu0Zml1REX2ZDSTPFFSVaPiXcLXMexXyrKZkhegZ0b6rgkz+aIxGJKsEuJjzuo3KOcpbtTYH2L9QaUZrGb0QYBoZ/DTGDKlHT3HGMzZkEKOwXGNmjhmTUSGdWE/YZwcobNF9igZRBKZrHFRBVHbUUyqYmsRO/OyTNLKWJ2W0eTasrDgPBijtEGqyv0g5i8SXmbH9Hff0PraxampVhIEtWQ98cM7AhNQ+QtdXmPtHHsLBraokLEApFqQjGljiTjzKN/rEmnLemsZHQoyHs1Va6ZRF1UXuPftRxlQB1yMdlFLUs6bYt87QjbilYYMi3AFLSNJ5cd7oeSjIbKzBBthfMRbt6j362JVEOlz9g1ljIXXLYFl96hY9jrwdy3WA9jF2EHBqRmunhEz6S0wrOI+phJQZUbLitDx86JZcu8NDT3BCoRDCYli4GhUB4XSxIREjnNsbQ4WRG4lh3VYVaUFLYmrofIYQKp5n4UYEzK3AoCK+lfaOJlhX5ksDtLClUSvKrYnUsSKTibahLdJRQhJ5lDyJhOC0VxiusKVLyDmhsWNiR3nnLUJQkUkdJURUJwtiBbVlzWCmMVnpCxtoiiYieHpbgHcUkuStqTBSLsMtSa5dsaH1WkQUVkLrGyZBnfbTt8E/4m73u3LfpuxrkJoW47cYb31R/uirN9Mn4zre3F/LZk1F0LyfekpeAn8bd/bzaK23l453G4W6HUdjmVUqyVn7janPtb1BPWm311w6vY9sZ3I9UFrFWi3vf0t72Yvs2Q8Hb4OafWP2fzcFsed8HCj4WbdYCfgqn3QQRrgPL+JkQIrlTAYO0JbwOsbuS3kgZab+IFsJY0WW2g1/3sViJTUiqU1viVgNwKMMm1bZ9tWLTdJqzur5iCZD1q2AjTOcB4caUGt0EWHq487AnEtSSU2NTlqhJX3uWst3i7UrlyxlypS3nnVqKpYgM/5ZUHug3AYy0lJbxHAlKs4c2GInDNVAUS1AqeOeex3q2kk7wDs7G3dNNWFWsuK5BKgFAr+CfWEmp+hQJ1sJY61JrWtCtpnPfU+X5qRFms6ymv/Adu8cA1DBNCgHCbBljbD1vVZiWZJNb9tAKdq7Z378PGjX2xq/eZKyDVtu2d9uVWdsDWYEjp9fyxVnHcml9uOkywdi3aup4btueCjToeQl7bUlrXe5XmlofCtRF+KRVaa5xbqVg67xBeILwn0grTgnGW+mrgySv46LzDGrt2DrAeC2Izwm8PG1tgq/qsddVvmauu+/HDatQ3+307bH8/blOv3M7nrjTvurZJ56Y06l2eAz8GQD50+PIhoLT9Tbr5bftQ2h+Cebflf9v3+mMw6kP3PrRGuHl9E/emlOyHynHz+ntQ+A5Y9bGw/R2/Ld+fk8bHgiwEjRE0wmPTE5Kwzw5D5m2N0xadVDx2FWcJXKYrz2PZpWDnpSf7pWARNAhZUdkEJTrs+g4nlcDll6jlOVX4ELn0JKcF6U6OspKqjFB2RuElI1IOxSHznuDNoGb4akmStqSBo0YyXYacvenwXJZIU1CKgsVgQJYYHiUn/NPwKeU8JPquw+OdBT5UTHYzHp2NkY1C+h2qJCAKBUfliHcpLERKYe/xcpnQd5IvtKd3MqZKNObgADJBYwzluxFvGOBieLQ/paCHcoqgW5PUnngJMtEsXIQNBMEDx3R8QONS+vuSvbOMbKlpx45Zt2KRWmaDksN0h8Q59uLfE7Yrm4OxbymzCiMhShzdUKOkwJeWeSiZxoLJuym9y4bAlYh/fMei3qPNY37zZsw77jNOOjRfzHhqE/o2Q1SnTMSE2rbsvvk74nstaqfk4HTBpH/BvLtAyh2mccoiTajrHq1+gY9G8C8ldpjS9jv4pcdjVuuG+inJ/RndwQQ7PqSpuoxsl06sUcGETF+ypwMmssM4yhCy5GC5pLucMf5CY/I5bvqWNOrT89Cv4M2extmStJ6QlA9JmJL2T5DHT/HSwvCCBMFSB0w7Mf9dYyGomQ4rXosdgrZmUI7pFYfoNkKTUX92htUhbRuTiLc42dAqxXRwj5oOC9GljQpa76lqxd/tf0cjFT/oezwKz7BVxGSyS2B3cNmM/OELluI+kQ7YjQe48ozIROj5fcaDOUtd0cgFC72DVQqvHOflEr2s6b5OKT5LadOUoBwQ2QaCEpHktNWCxEc8DR8QXF7iixahciY9QRV7um1DOlkQWA1PDJGrEUYznXdploZQWnb7BaKARhgmDwJ6dkhiI3rtO4KgogkERTUgTAIUATNhqDotIrLstBmT1NB6Q29pMbJD62NYJEy7GcvU0HMluWqx0YLdsAJhVgc8WUNiJJlVjMIJtlKISuAuDaJrUGlL3T4ib/sYmTHsXZBWXXQtOe2dQlYishamCcWyz3zRZef+BYFQaBMi8i6hqRlgmPQz+q2nv/AQNNgoxWd97HRAVs5JixGq7eIPSxZPTrD9r6hsh2W5z9HYgxGYvuewKPFAKUOsHlMHOXl3ii4TqHNc2TAzMSEhkYi5f2xReoFIjnnnh5gmJJw/JFzG6KCG3oTlfhdPxG4TsxOVSAembtCLFmlDmmVCWrSkSESUUj1eYFWBKC8x4hAvQ0JnWJRDnNTYXoEthrhWYwvNZN+idc4X7oxldIRCsSdOeKXACThoHe+0pSGmzz7R5RltU/Puiwd0pqckuePe4h6tfYfzLYG09KpytVBLK1RQ0AQpZ8NPwM2Ii5wONaJncH3NvcuQl/UeVZmiThvy599h9yd4ITCjAJMHlE+HDC4MaVGzuzul8RbjHIFsmO51MQPJwxcvaSd7GJewt/OaiTxkERwg94/JTYO3sGw8UVKjoiXJ5YyikFQi4EEqkEGDkxVPGaOmIX4RkH8xYqISLpsB9+2EMukySbvE/zrHpxVq6AifJsxOM+bvhjwNjpmqknPbUk9jdFihk5x+dUkcQJKG+OWQaOnpXBaYS4WJBG1HkYgxo0AzUhn6tIFFTtcULJ8cUgho5xmT3SFi3iC+8fzDF55JE/PHk4cM+f3KA+OoRu1AlAr2M0kjZuSioSDjodEoseDSnSNKhTEatezQe9wisiWX8ZiH3/ZYlp4zOeLkAgZDzfNhwwtRMbeayTJD9RxORJwdP+FzloBh7g+xFz9STioua8/nhyPiIEHPUtre6tDmwdcX/PMTw0VfIeOA2GZokzJRPfrNd3TaJTtBwI/FknqueXK6j3k0IBgEPM0m/OA6XAYBj9WAwdkEqef0n1t+3F+wiCrcdwXDiSLJA/76MuJwuI/vp7w8uuBBmdIvPLPmT8j+AcHgCH3umRrFhTGkpwccaMdQC85FF30yIZMTXlpD4kJCGXESWI6qmr1JS9T7e1z3jHGvofgPS3YPWvb2JK9e1gyCkmFUoqITKqGZieCj66Sf7X0vSZKfQKm7gNF7Gdy4f9fJ6nuLt/eMW19vTre9NW3CZtP2c4DZ5ve2ut12+VYbOfmT+txl9HYT76ZXPse1Rz/BaiHk3LV7+M2mdbWxXLfL1qZ3Gzxtws06bsryc9T0tjdtNzf5N9vytmsf67O7FvS3baLu2vhs98OVHa+f3JfApn+ANWRR6lrN8tom0QqivN9XK2AUaL3aLDuLt2YF/8TaNpJ34OxKOkoqUMFqYy5XanN38baVnSeBYgWsHB7jVmplEtBqZZ/HI3Diun5Kqa3+vraDJeX77Suu+u8arnq3Kituo8Z29QBu9QBCaVAa1qpccgMYvF+1lbwGYADWb1DHql3luvxSCtq2Xb07zq1U4YTAC7kGq/JKNW77XZJSYq258hTXti2spZac9yRJShTFaKUoy4K6rtBacRN+3Hzn/AbYereW8IGVupq6ApKwBnR2pQYoxKo87VrKSa5py0rFb+X9bgOONiqIG2C5Untz6/Jfj8nNu78BTd6zZWB8Q3JWUMo6g5SSQAdro+p+DctW8TdG3P0aGG7Xd9uo98r74cqjnmSl2hhqjZPX0lQbkLQ9b67U9hqcNXhrcHZlT6y1hs0ssvEoyBqkrdRg16qh63EYBMFVf2zK9VP7b+9LOW4Az01V5+22vKnad9vcs7m2scV3M85Nr56b3zfLc1vYvrd92HFXeT72/00vc5vwMcmuv2Vu/tjfH4NSm3s3v3kf+ob+reE2+5E3Ye5d0PLn5LsND2+zDXdXujf79q5423HPz88/XNkPhHj4j6TNGUl7zjk9Dnc0R0PNdy8kWagYppJgccZUSSZByGH7nH5/zGD4jqCKyLsRs15K/bsjIjcj1eeEPGLSTjhu37L8cohMU8K4Q9h7w17e4+HFA/rvRtRHAfNfdVmKklpoKpEivuux3xR8yjlj6Zg3PUb5Ia28oAph2Uk4evAdlpR58YzfjCBaKtpJwNtPa2IpeJwrXntFFOV8MjhGdzoomRDZHt+fVkhd8/gopxzcp7Up5iLk+/kFgTd8FWnODy8RYc2Rafmh/juk0PwiecGrvqUMI5S+z3BhiGagf4g5+cJBUvDs/EfavYzC9Xj142ek9w0pBQd/ekXxyyEu82QvXnCy/ymzIGV5dkb44zlxUXJ0FPD6/j0mMsH8xzHq0wYdWzr/CwwexvhuwO+nCZ2HL4g7Ofr075n6gqqpGH5X0z+oibqC+fQp/d4JUTbixI9Z2iNqOSS5bxGLC1w1Z3wUkqiWxHn02/uQRTgtuPzdCYefHXBwf0j6/5gyMhUjWXF2NCHsPSXrPOQ3O2OcXWLamvTlZ0wHgsmuw0cLgvCCOBzzXB7y/bnl2wvDZw+/JK0aomJJ8dWSnWXM/mWHr58dYF2LKgp2/2opB57lPc8v39WE3oOUtMVvEPtT1JMfad7FVPUeRfuQ588FOvIY5fgmlXSKnEcXY7o2ZpnEnA1SdqNvcLambGC/HlLWFWfVmLTfoQz7jPQ9Pr84o4k9r48SPinu4YOay/4JB65E2YS2PSB9ucCblDJ9QDxoaJOWy7Sm59/gvGBq7/FILmil4HvZ4ZPvBT3REH06Ic9DXJsQtgfE7y4x2nL+RUqjTwnrhgcvQxovEF6TmgQpUsog4kU/Rux9QxBM2SklygaoSpG889j9FJ9JCBqOowFWar4oJ5RrOyzJccurJ/coBzFfNOeotwfIIkbcG9HmGY2XzO5fMGy7xE5TJee8QZM3ml9/G7DsdGiSmK7TmI7HRoK2Tkj1DK1qXoaH9BtFzzg69h2vEsVZKDiandC9rIiWjvHDx5RZBxenPCWgLSzt0tI/l9T9gGqgaNOSiTxlyjnKBxyVgv1S8oeh4vACHlw4Rp/VJJMdsot9qtQQBAuCaI4ZlBRSkHuJayKE6CHlgKz6AWYKd5mi9h9icocZ14QqwncMblARnQnO+wU/3p/x6z+3OFuzCAtm0+fknYrF0Tn73yzA9Wnjx3yRSqKsxg/mfN9RxBPFg+9C1GCXcRLwbUfxXP+IiSrOM8cvx4fEs4j2XPOXzxWBzfnk+ITGhMjYEu6W/LF/hENzvygJoxlBCdnrDtJZ8p7gzZeKh6ZDp3ak0xl2cB8XdTAyJY9/RDU5+28kk8clbWoJjeTU1BRe4Ej55IcKWs3vPnnA85MLUldz/iRk8GNMVFvcs2Pk5X1EE+DjV1xUj6hFl+5+w0nesDAOnyg+s44dIVgmIae1oDKWp/Kctye7lPOAz4MfONH3mYd9Bocl6lWNnLbIx5bxrEdRJAzCkvToHXE6o/P1Ie1OgulKGL/ifNiySCVHr55SpO/Io3NmY8Fu+pBeeMDpqzGlSrE64FHxLXG2j052KcuXRLIhVJbjvqJQ96jFAfcuf4+Zp5iiw9GjEy46AcdJjC0V7TLD5DHPsz+QLvro6SH/+ugN2UXEzrsOx5/n7OiYI5/xT/WSeiyRp5rf7L9i0XOc9BW//FYwlT1eZbt8+W5Gu5dz+emC7rsMGUr8QKD+fMBsZjle5uhPcnylsKcpk18t8EWNflnxOCwYJA27g5o/OGjrHeL5Z4yWMIgu+cXuX6nPP2EhO5z2Y8blH8io+ELHaDtkXjd8PzvjSfZrgsRQ9f7CpY/xdUbv8oD9QZc68nyXLPjV8RlJLZio+yww5IHhbKfk6LlBh5LJacovLzK6RcOi/oHJb55Q7GiW/keeB5/Sq7uIl4aLc4OT8OC3MX8Jf2DucvqTIUfh50TNkMk3Hp79AHslLv2SvdcVaV5iDsbUlwvatqJ40HAeP8XIXX5dxmh1QS0q/pN4RvD9Cel0wtOvcrrLHaKyh207LJpzFm7Gjwk8PjzkoJeRFH/iLHnIQh/w/K3g9VHNxV7NMxoWjaYuFV9+XdO6iFyE/FOa013WDKqK7sMpw/CAvtxDn814YxRvvOKHb/8/H1wn/WxJqZvuuOH2xexd4WNgY/vvW1Xn+PAi/CYs+1D87TzvqsNtp+A3T15v27CsNpXAljHpzR8b6QbENVhw3v30+Rv1uWvx/KGNyl1A6La4H7t2m1TAbXF+brjtdP+2+5uibKJ6D0Js2kJw7XVt87PdRu9LFly1ISsvYniP99fw8FroaaUG6DZSI9uqfldpr4DHe2NtDWqEWEMevzae7lcSS3YDKG6BtFc/a4PcAq4Moa+Suq7fJo2rBvF+VZyt+FdtwQqOiXWZnXMgBWsfgOt0JG4j0Xedwqql1mN5YyR8jZxWyGQNlYTcgAmuxvXWyN+qn/uJtzRv/RoG2Ssj5SuAct1GtwHkTeVWzSHXaprXkNdv8r2qw/WY8FtqjCvJuE0zXvftRmJu86yz7gpu3YSr74PUDQza3oSv21b4lY251WDZaunNOOCqza/KcAOMIMRaTU8hJSihUBvJvQ0wFQIhFXh3NUw2aRhjVoDOraCgFwIvQbBS5dvkozcSYN7RGAPWgVJXvSrl2rD6Vr9s9/f27/cPFsSq/blu85vPbYefO//fVo7byvRzw4fgzc9N60Nl+dg8fBdM+VDZbgNRf0u4a37/2Lz/t6R9172f8x26Wf+b5bkJHm+DUpv/N7YgN9e2n72Z381n/2uCSiZY7ahNl/sqYpAa4qAilQO8VMylIHR96o7DDWH+xqJaSWQS2n6XuXRcFg1q2BBWirDuMROw6GlM1qGjG4IKgiWY3QNamzAbSzBdrG9pmWFVF+OhbZfs5QGJM7SZ5sRX5NZRVoJhWtNJHIP9FpeXNC7GuoTTRUuWC5JWIbyhjQQXaUi0bAhMyfxiSaM6JAkcRQ29boUwBjkRTIeCQhqasoBUE7QeNZ7RJktcYigkDDuX+CDhPOhTMcaZksjPqIWFSBPvx/SCJUbkTDJJlYc4F7C3a/FJAX7BbH/JUsaIOqC72EUeGmRcIKIEKbtYoXidVpiLBd2qIRQaRhpUS5CdMc8qykhjizm5sNgk4uGgZukbvG0xrkZ6gUIxP5oSeUPYaDpzTUSCDRKkf8M0cOQiI2j2EPEYI3LqcUzalsRxRV+k2LphvBzT2JCpVixDxf08JLQFQX3OyUBhmwybZ4Q9Q5EYKtVyELWErSAsImRh6VrHfupZzKZgLKptyV9GYKE1BXbi0VFLHJXkhwPQhk5TYZuaSkpMELF8MCPIGhKf0VOeKDXE4RLhLFWlWfqYQTwl1jWmC+MypAwNTXgOFzWt8MxCjdEGIQWB6oAdEFUJe9IgKgnSEPklEz8iKjQ7sz71fhcdQBoWoCqcNPiuQrQOREAbdYhlimodcmKoBj3aQJPZiKozxnmLmu/iW40FJtElg94c5yWLsk9ABM5Q9HOWPsB7R0FAT1YI0TJwS2RRogNLgqeVfayMaY2g0C1t5DE6RfgOcS1xi0uqfkwbKsLEYFVDQ8uFkCSdJUFYo6OQZZ1QW0kjHZVuUV4QiSFSgA3gdFfSEoEN6eVjAiUIvEItamSvxgeO/tySWoPyLWdZzZIQ22oWYY+oA7GuCWpNGTa0YUOgE1AhPtDIgSGIGrwX2NqSNSBbyaIfYZSlTCyB0FRJwPkwQOsWkwrmQ8gjRYeQHjGtdlS05LbF6hBJg2JOpRNSD53aU4ozROIJhg7rDzBxS61zLlWfqrZ0LhZcxIIGRS52yGpDN4C47eJ6HbQUdJMJVbqHDzVxFLBrIoJWExBgpccpi9MWwhIlHFHTJdcRruOJ5Iyd2KPKCmVKsArjHU3Q0ogc3wTUE7ADQSkslzsliekjQ8n+oiH1jsBJUH2KoMJriF1KLRq8bgh7MVWxi6sVCEtYTpGihb6jGXqccQxdjQgjXCvoXuaYrIPrZiRKkycxjfYY2aNNOgiV0ASWNlgd0qnLLjYtaQOLnIWkwRIZFCyDHN8N0C4imoR00gAfCaQeU9HB+JQoXpDmkEhHk40QC00wHSLaHOFKvPdMk5rcGKpcMe5qvB/iW4HqXVC1NX6eE9URetDiehWml+EriS4aQreHiafU6Zxk6dFhjg1HCDtYOcrxBaOwS45GNwFDW1LZmqoVSLlPKRwtY9JFn6QRBMrSnNWUXU8xEIhao1SB2lngugUAeiJ5Kzyl1LR0OD1oCGRA9G6PSZMQWEFqPJozvBIYERF1ZwgZIWVKNzA4WYNZUA8s09BQ1obMxBhC2r6mkxpEAG/7IbKMKRtJnhe0OqV1KXnepdyX+I7lvhB0jESaFNXcp9itsJWH0wmXusLFnkFYcJlmCC1oozHLSOAJeFzvw7igicCIFFNnFG3BccfQHUkGeUSSHVL5FOM1sttgTIkXLWd6QRIIpI2YeodYNARNTp4tSFJLrBX92RxMwNKHnI8FvcITegHLQ1wuaFXBYj/EWIXxmnvhhFZ6hMtwrodvG0y14HXRRWBAVzw8dPTDEbqdU1aW5bJhYUuaRiGXS0IqymlKnDl6kSHc9TSVxbYtj0UKYYOipTO/j91XTHolexcZdDQkH0dOPxtKbRZ62/ZQPha2F5K3LfI2v2/+fdtpN9xuAHf7988FZJu4d9pz2lqg3jz93/5985mrDaRYl3sjKAFbEi6b/DZu1t2tklGbvDcSBLeV7a7T4E28D8G2u35v0r0ZPtSufyuUvGss3PLUJsY63qbem3urBr7iFN6z8n+32vRuAw6/hgPee4xboRW8ZW3m6SqXlVrfSjLKXZVgk9f7Ru211j/dKG+RSOlXpXF+JQWj5LX3vZWa5wYYrDfpG5Uk1lJcG9CDXBvNX23qr6Dw1YP+CnQIxNrb3upZt7kvVqBFCIUXG091q/LYK091/ERC62rk+Wv7RSsOtgJW8gqiOMR7UmzXfb6RZNhsCK/mhbVNK2vMWgpNotRq4bhJ53rsXwOpjeKaWNfBr70vSrExOL56tzbv5MaQOB6ss2vVwvV4cCu5JK7KtAaMa9tXHlbqke5aQuc2IHX9rm0k+tYbWWfWZd2CVZuNMwK5Jph+A5DYtOf1nGKMWaUvJV5K9Ho8KqXQcm2jSqmVOqUQCKWuBrX3K4+Nzjqapr0CUhsnAAiQyPf6KgzCVT/h14b9WXn4WI+NVXvyk/Zgq8xwm4SMWEs4bVr64wDoNsnOm4DiY8atb4MTN8Nt8OsmjL/rcOBmXj/n+s8BUR8Lt8GU2/L4uWn/LfHv+tbeVp4P1fVDQOq2/t2Oc1e/3tUmmzJvSw5vX/85df6vCWH3Da3rY1yfXwSeMG4hqMhEzFTBWDv6Yh/TbzFPGqbvcmTjiKoO8ukul9M5ZycjhnsLsnmKPD/kJCsp9wPs/SEHswui84LguGH+1T9gjeBiXNBGOwg5xnKC5QHGVjT1JftzRRxJ8izkdVtRVQ5dWj7JGvpJSXrQ8uc/NWA8Uap4URqyWvDIegKRU2eK13sxX5zMkBdTzl7PueweMogcu/GS3n4Bc0H9KuXdE8HCt7Acs/twn27t8JMZbVZias8iCDjcO6VNu3wjPkHPJ0QmJ5WnLLXHJil7z4bsV1MKW/ByN2L5Q0ZkE371y4qFmVG2Cy7uV8zEAp1n7C/vIcUlQVyiswFB0se4gO/7JU/+MGJvpNjfu4c5jzFWUR9e8O1Acx6olZv0doAVGYODMaPG4q2F/SXixwF+EXHx5Vuy04jeecRglBKoFBFHVNWEadQjj4bsTT5ZbZB1zXSUoqsJvfSSDr/grDzj/PKUPfcps66m7kR8fjFALJfUesR/fPAVdtmFZYw4ugRVEtiazwnQywA56iLGjsGBQB4F/Pn1KRJNKgPKb4Ysk4Lz3pzB6RHpXkH/cMHLzx7RnVfsjioa5zBaUsWC0adnJC5iWAw4zOaotMYMRohxTV6nnJkBz4dnEEAxjDmng9VzhDhFnBiMDpnsZ1wMWrpaccQO/vKQpBbstTVLE2N8RcqMkcjpLQc8ePUZ75IA381J9TFL2dIEBe3eCPsuxpghJt0lVR2yomV4Yvk22aERMX0TkvdPmLcCO3lAIj02mHMZf0O70yJNxnwecWhSVGgYH02Y+gSLIFWCgIJO03D/dI5bGIQC1XHMRY/W9ailZBaeUEQtud/n4bJLv/TYSUCRDWnihHinxgdjvKs5Ex3S3QUxnsQ9ZRpnVGb93QxbDJL75j6hrEA2vNszUEQEecDh4pJQr+x+BnNB2QmwOuRwZBCqpA0L3u4X2NohmpjLzpA48cSNIHqrUcECogKtd/BygAsjRK8kbAy6dixKQXdm2V9qXkRd2rBmGtVkaIpul2mnw2eipu5oFpljJiX7ZURWCBoHpStYmhYTBChbE5gFhTtk1xsyX1IGbwhSge5FmHKHQjXMwgXjcECnMuznU14cJeRqQGUP+JVY0DUQVx2+3d9DR1N20x/J9T4WTWQDDpdDRKNxkcAog9MNYdTgwpVkXS8/ZJ6C6eYkeszDtsSWKwP3whqM8yyFALlEGE01inFBQNURjB6WDOrH7DWaLy/HaCkQKsIEfSbxG9A1D8seDQ11YLB7YE+OkFWKC2vS3CNVge445rsN1jmO8gKTZBhChq8nnH4WYHp9OsVDpsGYmSowdodBkhDqgIXQtLIBa0jfxLgnBY1ukSNFtlOi9YxzXyIGLXGoEWcZ3QgCGqbqjFymlDIlzSYcFS2pc7wcHmNfPcZdDDHRn2jrmroxnA485UTSzDWzR5JsukecD5AP5syOC+zY8ll5hN6fwO6MWXof+9bBvCTRD5hFjmVnyf6pQKYTEFMKvkIEl3gx4iS8j3cK3cADCpZNy7QSCPmASXDMRfiag8t/IKMi7E6xb2eUh4r5sCQq7xPpkvDwJS4I0RNF91TyXVLiQkkQdvj+YMnhaYdP/7TP959EBLXnYGEQnX/B2Jh2+ZisNwHRodT77Ngc386x7ZSmH7HAsZwaflMGuERzvAP7ccNSO/6qYgaNxkwck5MZ0dEQ72JGsx6jwYReUPHrMMCceLAxqX1G0T+hjGa04oTjTBJkgifAq/RXlKknHPyZJlP0qj5f/vU5b+uYWewRBzG1jail5Xgo+OqdZeA0PPqEs0JzGVrMZ4Z+NkX6nDfe8pQePbq8qT3LyxZpl6j9V7hoiLYd9o/HzNwecxvy3UTyTFl2lECfPyWsR5hwzrv7MaUNUB7+LnnHPNihZJem7tGY72nshG9mh/Qzw07a8MujFn+Z0156RvMu01HBYumZ3g/wzEkWNdMfOjx+lHN0v0bc79HkDeWy4av5AbNYsEw8vVfPmAzOmHfPGPIMsRuiH/xU2+1m+NlQKghWuoA3NyDbv+9aqN4FdrZPwm+THtlO864NwbWUwu2L0dvg10ad5eai/rbT9bvUTW5Cn+10tgHexiMWcK1eBVeb5o263s0yb8q22dDfNG5+M/6H7t3Wfv+1p75/S7irT+66v7l2s33FFTvY9CmA35LAuVav20CqqzS8W6MTj7PtFYDS22PZrSDMRlrJbyDIVZz3y3jT05f3HuP9SkXuCnSsYaQX1zaeuFbRtM6t1O+8R7gVPBLr5/3a8yISnLv95F8JrmxsXdV7I9/lNxfWKn5CXY03J+W1Eav15l9uYBZbxsLXwbGCa9avPLgJKVByZZdrBczUyqj2GvK1xlzxuZXq6cpw9rbnOOnXYEXrlUrlug3bduWp7xoXsnoeiTerNl95UlxJJykZXNl9unpX1ka8/YqgrRiU8FeSSWJ9UbgNBtqMkw3jEyvPc2svfJtybiSiVk2+Lfm1ueYBhxQSrSRyDdmcsxv5NBDQWrdW0wO5tnuFX9n2cmtAqNZtEugA/EqaLAwCVBCsVC/1tTShVopAh2v1YUFrwVzZv1p51nNu63BgLTW3PZZWbd+uYOPaU6M1K5sWK1tvq/jGvD9nbdpg45FwM0Y3xuDfl5C7no9XjFZcjZGbc9zN8f6huf2ucHP++7nw4a5vycfm2rvKelfc/3/Owx8LH2pH59ytQPa2tvo58/vHwm02pm5Trf9b2nwTZ+PNcnvdsP3/zfz/W4XgpefoyZLB45rf/+cB97qOB0PBXPSpswv0wTH3lwdM3YBmuc/zwb+SJSHpIIPyBzpTw+HI0d23nLop/1SesPePFYMJJP+rIvnf/yNEC4w+ZnHiqccRVsY86lf4LGTOgHO+I7XwqBboYMTSO84Xjv/x4W8o3JS31b/nj6dfEJZH7DQZriOIoxG99P9F8+ABetaFH/scnIUkI0UcCV7+8hAjuqSvNb/IFAUN/+9XNeFhxlClfOZ2+bT4etXuxRF/GUeUKPZ3exTDfaqeRQ7ntIWHvEUHBfHrhkBENJ//krJ8jbFLWr4hlgmpHnDEgPrgjNaf8V3rYb6kaRQj8ylH3RHDzgXB7hQjOxRFxOlxi1tWxIuaf/cfNE3TwyWe2T9+hzqL8WOo33gO25YsEfx58JzOtCKrSqbhax4uj7hfDfir3WEyTwmFIvOKQc/TVZZj15CZlY3I7+u/Yzk6RbYnzL5qiL7bQZ88Rv0yovALJm3Fr84PCOdD+m0DIuF+7EmGnhefOvL2hNKMsSqFKkKOFXvjguzhJdnRjPRPO5wFfS7SPfq/7ZJMzkhenNIzQ84fDDl50Ofgz98Q70P4MEa+EUyqDq/HAcHOCw6mKYdvhizUId2uIt6VTJpzwllL/8zx5nOPrD36R0HafU6R1VTBJeKPOb7p0IodLh5rdmZdvvrrU3TyEuEcj94ZXtX3yEPHiV6gen+lu+jSOX3E6MkE21Uk6hOwIyZE/Ets+er8NbpSXO4fsnh0jhMlynmEcqh2ghr/gWq8RyUDzu417J28JghC7NEe5etHCHLiw/9IdJzgbETXHLH7akQoW7pffk9XTtFeYc+eUwZDXAlPXozRUlFGirMDgTn/nMBm3BsUROElSs04PxhQmhJ11vKr1yOCzpI2Tvi2+5zStMiyoRfVHDUPoI0oo4ru2BGZEvOwoJ+N8L6hCmDSHjIt+tz73nB4AIMEwu8VZr+g7gv+/JsBT95JDs8VcldwGabMCfDDBSausFHLM3poZ/Gm5LTIycMhk+g+7qljzxgeG3BSooQjpOaiXBBgUYFnkRomWYmwjqOmQ7UcUniFGkB2EROPAy4+f0doa7r1gr3+iEpK3siQfpmRtX2COuLNzitSAztFzMQsmHYCTr9KePwqQjcBymX4x+eEuWb37ZD7NmfRaRjtRnwx89gWChPS+bsD6mjJKBxBDYoa4UOO/jBj3nb5s7rP808l8TBHhhdEkyHDsIFkxFTukOQZD34MmHz1Dbry+LMBF48Lyv2AvH/IUb5DOlN0/2wY/72lGCyY/+YN4elTOpcdnuYx3WhBKBfIbEG9cw9hBMm7Y+51P8FnIbI/49koJTeS7zNHm/2ASFOy8Al2p4bKE/3lU/YeTxFpxalr6PgerQj5T0GGKiExDf2LisnBmEWSs+O6mAtP25TMhl9zNDkkrHZ4ezQlqDSJgebRX4iPdwjfHIBypKLAyYrfPa4YTseEZwFvTj9j77Bh+OkZ+UuF3Zni+g2PX3c4O5wxepbz4OwZx/1zJsmEbOHR57uoaZevDkec1opRJUnrHl4obEcTP54jixj7OqV6cowd3KdI92nEjwyqgnsjxSt3yN6oYue44U0/JhqGdIYBf++GvAk8bxKD+vERXgjqroe/fo+NO4Td/4GwV+ITQZn0OExeY1SXvOzjHp8gCo+dPSdJ5vSVYM9r3n32gAUdFkWPL4sfGLqGdNjjcO9PzKXl1U7Ab72g2+1y2N9j5798SxkbFs8q9v+aE6ganip0YqkCmO5qgqwgzAVfHQv+ZXDBIhBgO3Tuf0+7EzId7GLe9Gl0SfnFH4jDBuEDToJDyl+ksFSE37bo2T2iTsrif57w6GuHeiVoCXl071skDvU1/HD/GWUoeLH/H+iP/o5IJridE9gZkTaW/9PlPU7dCSf6Ev30tzw6qdB1zrvL1xy+bUirjGd7/z0nvqEOLP/nfcG8DqmWluZkQP3jgMIr/u+dSwb33pJpz1enNSdJydsIjr6YcvCuRpYtv19ecFiPSG3OfxQRge8Spy37+3/k9F6EUUMO3F/YM4qu6zBqKi7f7jN7nbEwb/F0karDyL+m6fWxO4c88Z4qqnlVFQxn95mIkpFquPxswP1lxdOFIdhVpAYOT6HJQ2RxQac6/eg66W8ydH7Xtdvg0s8BKDfB1F3hQ4vNj20QrjbAN6Sibt7fXvRuSy596OT7Q/anrp712/WGKwkB52+FTTcX2R869b2rXHdt5P4tMOpD4O5muC3eXafpHyv3bffZkozaEknaGk9uDUjgSrJmbb/oJ2257poro+j+SlFv1U9XRdmMg7XA0RWouR2Ser/2uMcGTPnNXyvgsXLF9x6UEmvbU1zls5FiWUvcXKnNra75dXlZSwSt5VdWMf2qHdjYhpJyS510Fdf7jS2j6z7alEesvdetwIS8qunKJtIaaOGvVACdX41lKf17tqmu23tj72VVim1Asd0nfq1u9v4cwtUzmzjX6W9UEzebyY3tI7tVly3pHb+yueXFljHzTd6rp98bS0qtbIR5IXB4lFRXHu2u0nTXY/BaAmgdxLXK40oiza2l1rjqLe9XUkdi441xLbm28aR3Bc8BZ1rEBgByXS/r1l4dTQsC5Npu2QZCXQ/3lbrr9tjdzFXXjiLWIN5YnFhJXfm1LTxn7XvteRuY2Iyl7XZkS6JtNWduDgS4An6b5+4CSB86bPg54a5nPyTR8yHpnp8Ltu5K67a4P3de/jkw698Cge4q78fqsa3Kf/Odu9me2318M/2bad8ERnANxn5uXT7UvzfT287nY2uYf2swNoPGomvDXq8iyhR10mHn0YSZL1jMYZpIAlvyeNSQ1fs0XjEXisPE0zjBzEt6qkc2mLMvKtwoxhQOF1o6J5plFHF5kCGFIBFLArEgUgfkLmRWBeikg/QGI0su7kFjLKV1BLYmsobYa7pHBUEYEeUDujZHx4bAhYidFhU6hlGC3b8kDz1VoIjLPoqQ5IuIZhjRtoI4D4jzGikt4yNBpS0Wge1bfGeCs45xLonnISEe2TcslwJVaQYmx14m+FjR+AI76+CahPMYdvsFBC1zsyBcJsgqwowNWdUQC4cfzBg0FaGDi6iHwBGZJaZekPYcSSqZ1l1a6TCBw172GIYF8Y6jnT1CJTPC2CKdJ+pLkiBCHB8RlQJh5qRhRNWVVFHI/nJCoxznkcdQUdscbwSzU4dNNHQSmkWLaFoCWiKv6RrJsNYoLxC1wjnJLH1HGiniQKEjgRUVFQ5fz4kCR7QT4cyU0EL3csB0alj0JFUnZekXpKIlUAHTXc0iNZRmyUKGNEtBdBxyVIIPAggD6oWkrhPOdIdhNsUJz3Qu6aWSpBWIVhI1Fo+FuGTWVhhl6MYgQofXLSosUKLEhJrpTkQ3FYjc0jtvGV601JHCdBLwLaUVnA0npI3F1wLTb1GqA3GI33WIIkGoFrd7yUJFSDx7ZgFBB6MVhYLlYOWwJA8qwixB2wR3ocnUAuFL/GlMsIxwUuONwPouRtQkakErPdYGBDbBJQ6fGFSvpJSWJrToRBJENaoV1GpJU0msFtj9BZ1aoExEvhfQbQzSFITdMTUdsBrHAtGCdgGyXcGDZQRzGxHIGYqCwMZktUPUBqtK2qWkriLyXkliKoIZhCZDiQqfNnid4mWBkw4btTTKYLwjtQ5EjJAJg0nBfFBBYElsTCpCpAqo2g4SA2qG9DWycqjGkQwsS1oaYQmkgKZBNIa6iDF1gGkCenWXuG2JywZUg/QSFMzdkIiIWEXsVQkGwWUQkVkJqsaEc8ICpG5phzNyIgg8QU8TXig6jca1Ibp2+CYEm6Bli1eWiIa0bImVJIy7uF5I6zxVUOFlSa0seTekSwXS01l2seQEOTgfk1QgrKUuZqjjPqojsLsLTL2HSzTpkeO+lNQ+QwZHlPQIpSTL5sRhgRYWXIKRgLQgGyb6AikD9hvPZWCpFewhGWsD1PRVTuM6GOFpwpbpIsDXnipuSeUCpQRpUlE6Q1MrZNGStuBChbATwipGVRrZSbFBRqkiwugMX/VpfUDbtGgLeIXXEsIQJRTRUuGEoMkCwjBBDQpkXJJd7pOUU6Lak1c90rlBt5Y2nBNKR8+G7MwrzgrBslE0domsuiTLEFUaZKihr7lwK/VaH7ZEOqFWjkIXZCZHCY3SA2Lbp/Qxp3VNISRWO2TQ0r+c0DEp+yZiHJ3hGku39OQ7MZVvqdpzpp0+vdrSm9UMbIfcSxb1gp6vqG1ArQPs3OIdqF3BcGxJwiU+XDJUkrhX04h3aFUgdYSNUuamwFmFDQ2xD6ilY5lOye81dFpBx6XMbYlTCT23hwtGlCjMLEad7qF1S+0aXFaja8ferGQ+6BIqzW7b53wEpZOM2oBBLYmqhsCN0YsOTVtTOE9QZYReE2Z6dUjsHJaV6qCXGu92KPoaUkMQT2kXAXWuiS9LloMubRRyfzyi7oDJLAf5Lt2BIzAx3kj6ckorK4I4wzYVrjHs3FtyZiXOavqtpZPFJFLRNYaLWOITQXucMClAecl+PkLXEc7EHFQ5TVpiM8/Uz+nLQzKXYt++A7dHQ5epzVmYlnZ4yX0bMLGG3BeYpaQyFqMr2l5LSImiZZlFLJqchS3pWIssNTqPMAcLZJMTXhYU++8I45Kd6uPrpJ8NpbbDZrF2m0Hqzf834dPN+3elu724vQuEvJc2WyBkyxbNzcXrbap6NxehG1sTNz3c3QWwbuZxcyHunEOiVsIy8v04G8Plt0lJbafz/sb99va4C6Btrn9IkuxDJ9w3799270Mbx5v1ug243bx+V57vP8sVwHivXkKA2/T/7aBwA5g2kkzWrWwuCe/YGOt2+JXhcAHIa0mkFRTQ67+vVfl+eqoutpiZvxqXm8JvJHA2/S/8RjJpJT20AmYC5Mq/nLgCHOtIVzaHNjaxVga5pZArFuXWoEoIvNu8Ex6heG9cbdrVb8Y1IFBr1T7eA1fW2i2pvmvgsBK4cTgvkPrmps9e1XNTf2PMtVFw5/Dy2jMccPVerbL2N8DJ9ThydqXeuII56krdzVh7pQa57RhhA5+2gRRXbeGuvPOJdX9ppUGtYFzrVt7vrtVB18+47bH4UyP4znvkFcSUWNeu+21tpNtd109IgdbXc5fWeq1Ct4aGkrUHTnE9520Mh3uPcRbr/dqA+hoWer8un0TKVX5cQbj3vZZ6f/0+/0QC8GqMr/Go8FtSYz+dQzZzwrWa1EblW17Zw1qNhZ8+dxNu3JwPf264+Q257f5t9z50fbs8P2fO+ti12+beu+b47Xub3x+T5rnre3cz3CbJfFda7pZ36+b38ea3a3v+3fZsezPc9h27+f27zWPubfW7Cchuy2u7Pptxf9t36ra8/i2hlX3aKsfPcj49yCmjAWXS4+joDPnWUrwOONtXPC0WPD9dkLv/nnFteVeV7O73WBDwTkQcaU9/UNO9b/jrvx9Qhw1qZ0n3e8PigeLkV12GM0lHz+iJFwTiiMaEXOaaXf0I7QsKfcLyMZAbgguPrabI1pDoPtmnC1QbELw+4F4+IggaRHefrNMggTjKePk8p+gYmkDy/PcD0lCj/17xg4tpx5q9UpDOfsT0as4ez6nRtAQU+5a0M0GWcHaecTRSqEqS73aYTUPCueOT+ZzLJqMaKBp3iR0dYcuU470QtfMtKpgxWi7Yu3yCnmT4RU2GJUkXdIfHJJWmtRk/6kMO3TGZm+Ls9wz2uiRJn7fiHiIc4+qW6e8PEU9fMtyx1MVnhJ2XqGCGVg3xviJRGfKPT9DmR7Qc0U8kx4eCspPwfHLCSR9mWrBnPFWjMJVhOffozwPUzgBzliNNgYg9aanYaz0HtcIJg2k8tWk53/mGfhKzF6R0nGThGpwx+HpMFBt6/YR5e4ma7ZEd7/Ht8phlqmlExLx8Cd4RpzFvHilKU9IuF1zSQU0gegdPe5B1NcMk5vi4T1kHvEgC/sfB9ywaw/FIczgYEBgNXtLNG2xsqLo1o/GEWCp205VxYYIWnc2JyhkmGnCy9xgpIfWOrDXsz0vmcczYJfhlSN7NGd874TdvO3gc50dLQr2PzwJ0z+H+0seUM7x7ydw/J3aQ2hof7VCriGUA875DWENVFFzsHCKXGeKHgOefvCBpW+pv9kBpXOJRrqGKu7RBwI48Y+Y7eJcycCE2qvBpiXuQM1MeI2EYKKLuDNo5yzCnKQ5wVkF6xs4yRbiIl5/EBK8KkjKnG17S+Oe0LsH5Bb4tEA0ktmIy0MyShHObEkhPLGsO25h+VZPUEtPJKWd9ZiZi8sWSe6cVvQvPYLqHHpTYQYknxckZXi4xUUpjJW0L1je0dEEOGIwcIpyhs5K98h5EGS5IKasdpDpB6gmBaAnnnmAC3czReEvpHEI6YrckrOe0yx1sI2nQ9Ko+cb0gyOcsLcjYEcQt5y5kIAO6keRe0eFdpHiTRvy21WhxhmNEVGeQ1dT3c2bzfXQk6QwaOI1Iq5CsiJk3LU0b0pgEZSu0MShv6S0cKgghSFneD6iUwwQzKEZUKuEkO0AkY9IyJJ3uEbZn2Lag0QFpHmBNS15fEL34DX7YoHa+o3YPCVKF3m950gRgMpza4Y0QECwJdk5QWiFshMsHGCew3tCEntPwJYGUHCwPeZu1eOH5TaOp1cqL9r6YUrVDSic4H0w4H0UYAtQTj/Mj4qBhv9Pw2lvqRiHrml6ToKOQ2rwlrLokVY+B2eVd1iUPoCsWWHqUTUCbe1LvERGYjqTtxGgv2HmjqfZC2n5Ib0+johbvazphn86yRFcVo3ZAb1QSyoLjR6d0XMywidmZF8xrz9g7Zm2OLLr0FhFN0RL0Itqe5s1xhNUTZLzgS7VHITwzf8mur5DRDlbv0VF9xqbhsqzx0mOlwYmaneUxnek90mXGX748od/U7C08s189o5qNWF4c0wT/HeG45uhVjhz2cWHB3F2yM1FME8GiG9AeG3Tm4ciz9weF7JWEj2ckyYAmKVn2X+CLDkL2kekul20BXmDjnCiKIKyZxZdkn9foScTOj30mbUVAh0P/OaUtyeuAyaxHsjzEyxlL8T1m15E2LffOcuq/b0hkzL2T+5xfhiyNYaEWPHCevi/R4hRmQ8qJYT4DqXuEScTOnqcJM9rGkUdzvBtDG6HNL1kcalxvSRxMaRZPMCNw598x/fUvUUnM7otXnP42hiTlq8tHiEcClMB/X7EbHWOSOVV8yKISmMby9NmE87jB2YDHLy0qy1AuIaYh7VXUmcD9sctZN0Ckgl/Nxoztl7Rmhy/zbzl9VnK5WzKaVRwIzYFJWfzeYIIurT7kuJ5jHr4kenTJZ+4B3xQVi7zAvQto64aaiqJriJqK2MBFP2A2b1ksl/TLEjkTiElE/dmE8O0cPVnS/HZJZLsMqs5H10k/2/tep/N+YtuLt4+dLN4GpW4DPTfvfQhabEOp7XSVVO+lt31vGyRtINR2eptN902VvZsnvJu0bi7UbwNpt50c34Q4P3cjcteG5m/ZsH1og/eh0/KbZby5SbsLPN7W1zfj3YR7dz27He/WzY0QVwazN8af4fpEfLucch0H7/FrMIRfq6lduahbhU1fr/JcjSGt5Gq8rDdKztor6aKNJ0YhBNZZ8DfGgVvb/lnDjPWN1YZLyi1JpU1+13DginZ5j3NmZUfI+7XdIbm2LyRXUILNONdXUj63AYQNQxOrufBKykuqtTe3NQixzmGdX1s0ui7Lpm/UDVBhTbsGU+9vnm++h1JKwjBkxVn8Wu3rWspq27vWpm3XNVh303XbNk17VccNZPbeY8xKHVAIriSCVm16Dac2VwBCda1OaFkBy1U7yvXm2K7V4dZ1WqsSihug5mr8bvp+Y+9qbZdpBQ6v33EhrlX8tucY7x0CgdLqCs5tt+P7c+X7NvmcM+s2XLXp9gZ/uy7eA0L+RGX4GvC4K7tjm35433vkNQB/3zHGtR0xEGtQebstvZvzy5W66RaMuA2C3zYv3fyW3Pbczb+3YcVt8+Rt1++ao28LH5q3fw7Y2u63jz27PTfeNgf/3EOI7e/7bfPHZpxuft9sw80BDLw/b39I6ukmlPxQ3e8KH/rO3bUmuQlHb8Y5Pf24+PldYfezIw4WnqPCEx8m+NBgZMt357sEA0W6D0FyQblMWc77RP1dosATy4a9P/2Fi0Lyto34xScDgsMF/mjEq5EksikD36f7hwNOHpR8++sJ/IfHiIVGNQ6GOclDQfeLgPJcUueWalHzPy9fEkZdqv4nnJ19QxYrHhzsMFYRuc+Yuz3sm3NsJWjajF//TzlD4emdan737B1tLOiJHT63Dymrgq8n39J5G6KtQ8YNYunRTpBoRRTtk3dDXjyE7nGfYCmQi4InXxW0QvOXHw8JpSBRCw6Sv6IWR1Rpjze/GZKMBGm+ZG/+HbPHz3BS0Pvha/zDlkXo+P2lI8m+IHOah6d/ZHkvwglB7+uW9KuUaij5L0XJURPQFyH94ZD2vKbMS77nGPt2D1f0kE8ytC1BW6YPI8Qfa/QYhr96wJF/Q+ImvHQh47gm947gD0fcywK6qeG483seN0N26TA+8Jz+APMTwf1YkIUFOrKc7f2CI3lGnzF/GknU3g5xP+XR93/k9N4jLnfv8cX/ekwpaxah5bvwkN3DmuGg5eV/esKwPWGoTnn7i/s0tg9ll//hdUEYtIispfx8RpQ6khiwkpFVnNeae3/epex1yA87/F3nksU05uw8w+59i9gJkPsdvlQzknNB8Cog2K8oZMaCATthQVh59AIm/7sM6yR+AiY5JmsG7M+eMZ6+Je8vWT5e0rv4jKhsiZcXvLXPKAZLyqffM7ABTgxY6if8dvKKMFLkBwe8W3iCtuKemfJOWMLC8+DUk/8yRYuY3ZM+5sAzlYZvypL9gSKULbKdcqYcyisempjsosYLx+xIcOIjPBEHuse9bwcktUTvFRxHmkIFGNmhzuaEpuWTlxJ9OCIXjt+9POSLh3N6cUsxiejkYxw1r/YSniSCXgA28vxgFbmPeSgekhQ5zljeRn36TpIqQ7J/Qm1ycIY9sYNqC7z3TNOneHuBdSWz4IjCxPhG8vTdnHnaZ5kmtL2cNnA4ZRFuRpKnJGXEblGiFhZfeUYDRb0b03ZDCj/j/tRwuBDE0TOOu3DeaQj1v7K/6LA761NdZiy0I49bBg/fYtp9qmqPV9lb7rUJD9qM4/iUqhzQLnbpnDtCfY6Oz3m5/wkxho6vuIhjhs5xaBpm8pSp1UxMSiceEiwUwaVkshsyZMRD8xorE3LVYRL2aJkSS0NPOXrVA6yMqIKA/ncO4WaY5JjyEKbBkGOe8Hn2R5SrqRvJsPTgOjT+gHj8EtFmOPc51r3AhQ12EBK8uYekgd4xf3q8xEaKfdHjqEjw0jHp5pxXLQGWp2FD2jxHtClN6Vn0DDKAXRHQnr1BlCWx0bx6tkPeiZEi4P6LBXFbUR0smeUDQLHXKSne7mCsQ37yAu1LHJpL8Zh345SmaTnovKCjwEvNa7qouk9gPR31NVY+wcoBdQxyFBAXDZ/Ff8L1uxiVMj7pMNm5xOqaX/31IWcHHfK+5Ei+pcoj6kZS8I44tUQBZJddjqOEUSRpszc8PbccLATzw4za7WCqDuIPOcGgRAwa3iZ9BhWkbcuLe6+pTlLMWY9OcI/moMHtFjytfmRpBiyaAfqsZUctGOolblZDICFW+KceV0e4ZUx5qjl3IWdS8/SLb5n6ARfNEb+eO+xlQTmaUxydUsaOPFDk3/UIdx3ZI8uTH++BmdCKt3z3okMkhgyTAxa/NOTxMXP1LW3zkJ2p5clZzqx6jOqXJA/OWfzzL5iFFeOH7/i1uiTJdxGjL3g5/o8Uexnml7/i2ffH+MAzO0z58XeetJ7zefqGuv+Uqg5ZnHl2k3e4Qc3lEzj+0dFUGVI+5Mvn70gbgf3LIaE9xwUBZfcJ7S/GoBYE70aYoaLxXaaXnxCcRcSR4+Dvl/ywqDEFPBxHNM/e0folxe9LpP0Nod1h37TsdxJMp+GPD77hkd9lSMq+ijnvvuMy/P+x9l9NciRZgi74qapxN6dBEQGSQCJZZVZVV1d3z/Tce3flruwv3cf7B/Zl5a7IjMzsdFcXy0pSScARCOrcuJmq7oOHRzg8PQLIqqsigHsYUT1KTF3PZ+ccnfNDY4nzgE7i89H3fb7canHR0UT7X2NPt1FVm/6jFi13RCBLfNumNjU6r2n+kmE+/wCn1+Xwv5+R5wGZ9riIFeN7BVmvxDstCNoaz2sQyYxxeofMxOx//Ht2vm3RPfJpPjyn1obKuJx4v8RtD5HOjFd/2mHwKGdwtyA+he7pDu1xD79zyvl+yXnfkP3pLjthi51WyP/xx//j1nXS32QptZ7W4coy3QQh3pXHu7aQXv0UQlzFZlkev2lBuS7j+hvY1cXz+r3vC+DW67dupbP+/aZ2eJ/vm47d9nZ4/d539cW75Fimd/XzJplue/O8SbZlHy3vXXUDu1b8Fwq9vIQPrPXvat4LQACLAOErCiuAkQs6c5lWFWIwi6DcVl4rSEtLm8trV2HIche3y8JhaYW1CMZ0xZguCdXisrfKtSx3LFsCpOug48ud8K7RrFmWed3SlxDmbfe067yW9GpRsJXiClDJK/pkMSvwZ7Vn7LJvVqDcWzBgrW9Xx8KyXRfQqMZYsWI99La14mp5C/h4GTSe1ef4bYVz/dlb9P0yv2V7i0Xct8s6W7uwOtNGX88p1xxwsVvmlYwrivMSjK0BuKvxdtmOy5pczycSHLEYFmYRd2sZnP4K2lyOl0WMOvnW8/HWM3UJEJdxyZZpGdNrMQ7eBgbLdrv+XMTjuh6/5tIy67o37crYX3+mNz/jV7XGGI3WzU/uX9bpbRB3M3Rabd+b/l4FKetz5qa5+H2A0fsAkfeFJutpvf1um2vXIdEmKLfp3k1w6n1g2G2/FbdZLy3Tu6yKb0ubQNhN/XnTvevyvU9b3ybH35JkkpO5ISfbEY7fxS81Xl7jpxmRjIlUm4vdkqLwqBNFb/eURvtM5wGq3iKRgiZSpL0Zyhr0SY+mGNNyDLEnedMvKFTK9ihh3K/RuOhhxB1mxPOa1vOUZ0ELx6vpx3PyaYGpBbI5IywV2lcchTX+SY7f5LRlRbOjabREFWCikgqHrO0hHZ9QGbZUTW5rZo4ij7boiiEYwbwZ0BEZTWA56zvcmSpEYzBBQTjwwfcYiZDDNMFYQ4WDGw4x/pw0dqFtMKJgcHrOPFQUpsY9clAvGypX8Tpo026G6KaiPQERCYTjQC0xwqOUDie1x2FSgYJKt/DKgpbJ8UqPi1QwNi5Fb4e+7eI2DufBMXHVwtUexfOaAkPdAyXHzJgzI2MyrynnIKxiZ8tgvJqpV+N1wC1AGkvlprQdQeg5ZHe2aYTFoUDoc0oMiW0TZZDrgLnjkuxLilZDZQpGuYvpC5qBwWY1ts4ReU6/OMVtG8p+DzlMELWHrkOGUU3kF/hhRTQcEGQZQZhQtgxxKSF1KXcCjHFwRprjuKZUDaVbYvsCXB85i7HyAlMIGqXwrYvxFFlgcd0CqyS6CfDqkkZA6YGcb6PzCDOvCdwAvBKUwWuNkbqmIaXyBUpJ9irIZUNpK5oqR1QWp7FEFwVRLnAwuMqhpQI0inPHpWJGoCraLajmDrZu2M7ndMIBylWYXIPpYq2D01iEpwGJP+wQbk2onJK0VBzHCV6g8dwZhR0grCUKzimVh2kcFAVWlzSypvHGNHKGFhrrtUhkQSUbkiDg3MZktcRhiuMoYiVw7QzZCEQtaPtDvMpduPwbRS3ACIkuu8imxMqCws0JU42Xg5UuvqrR1GTRnJlvSFWOIyWuFagGgjmoRuE2Du7coXQyqk5BVPZpakVmHHQN2jrUjkPp1tRaoHKDG25Tm5CZCHGdGW5giCIQVY8CydxL6TcOvoQyrEgdD2slDpqg8TFNm8JoulbhlxlBPkXvpKTCMlIWr2ojdUCjI0JnhjAxJh2w3RoRuyWO42GqiEZB6s7xTAEOGFcytiM0EY1sQ+ThF5awKCllB6FgS46ZCxA4WOvQuIKggHg6hyJGy4giqhft7dhFSIy9BfgTTgutLFQCfyyZtkpsZajPDGZQU/mS86bHnWmF1xikY6iaAI2DlS7CbSFrlzxx8QsXRxpMOcXKgtKvKEWBaBKMdRgLQ+mNMcbgCkE4lthSYj2FKzQ2MDRNxNhWWGHwdIodR+hKMY1jus2cUNao/R1ENUc1KaPI0qgGa0pahWZcG2oZUAcB1jjITGCqNqrK8U0OcQu3mOHkJdoTeDR0KxcSn8A0EC123nTqGUaWJFTMS0GVKoJOhZjn6KQgqAWlMDReQdtOmY0NSVYz2o8xBCitCAKJFRm5tDjbPiKxMDM0OKSpIT3JUVMXPEsrtJhC0Spd/JmDnY3QdUoTpIyjCNcoeolDse0j2iVCVuTOEKsLysaj2POhaiiLC/SLkro/I9uBwTl4tc889HHSHJFayosBwz2DDiy9OGTGHXTl07Ez0n6IdgLikxrZySBsCDol7WgL1w2pexEzL6X0a+rQZYKgCR1mnqKtLLVQzEyCFAWOAGVnFO0I4Xq0nYpp7lOaimxUMxBtfNGiSgWFtmRGcJH51NbgqIY4qMiGII3AtgSZMJSyoFQjTgqf2ghMuc2kcSmVYbaXEdoQL3EpJ5btgSGMLJM0wbQipOeRX2yznQX4jWX4egb7JaJVI5OEuu1hWi5hS+GU4E41njuniGukDOlMd8HJCN2MoJgz1xGJ7zPYkuxoS5PBaD5gYFq4vkvWmuAMNa2ZZPcA8nlNVmZU4oxmFmKOWkQTRen5FIew7yfUYUhpW5imhqpGON4710l/F5RaXaStB75d/X4bgNiU33KRe1OA9NWYMQvLgssFpr1W+9ate9YX4etKSdM0V8fWd3PatJhfhyKbFKhVxWsTnNoEXjZ9v+nvdykTmwDUTffcBtpuU3SW6aa33jfVcbX/3gfwre7otQqVxFKZFRLJInazvDxurVlYPl1CmWvIcGlhY7newY5L4HBJZ8SCcFwBsNU+NEJg9TWpWKr6FoFcgy3Lf1ovIYdlYZ8nL3X1RTD8TWkJEqxd3eVsUc7l1nyXOQrMVdwqC1qzjOGzgGyX8i8BFCAki0DhgoWljrgc61ZexYaSlyZU9qovVu+/HuNLGZcWaVLKq40Rlv24SXleusvYS1hn7dLtzLwFidbzAJDKuXz2WQHKb0NLlv1yNWcsXQ8tQqort0op5WJnxEuXNizoarnj3WUDyEt3Rn0JIY25jI+0wKCXPbYyD64Cq8t4VqudK+SVa55y3AVQM5q6rq+g1DKGl64bXNdFOeotC7O35xx5FWvKWHttXWfNpbXR4nlYh4KreS2OvQ1QLeYKtIlLcLpqrbLs700uwtdlLSzNFuNF/yQg+vK+pRyrbtTraX3evm3OvGlX09Xr1+fnTWWt1+u2+eo2SHfbvTeVvWnufd85811gal2e9wFxm/JcbcN1N/nVuWs9bXJdX96zfv2m3+H1+98H6K3mvQ72lrLeJMPfm+QwZXov5PxeG5EN6CSS3lDT5XdEUwd/vsPXwTZi3BBd1HQfv+B03uf18R0K8YAyFBShZrz3Bxi1aJ7vUIsRsm0JB4IXuylxk3DvNCE7LKhdHzl1+ERawnEKRxNe/Mtd/Dhnr3POxXmDb2f0m5R+c48LI/he5vzy7JwoV3RkDP+3PrUvKZIGYshMh6IfI2WLlijY8gqOs5yxCKgHd5GtUxrrMazv0fOOqfoNTz/x6PwJEBXanxHes1R5i1O1y8MzkI2hCUB3T6ijjFmrTRFDUCR8+NWELz9pkQUeJuninpUkkeSb327xKEloJzV7x5JiC2TLIoSLlCG1DHkpA7rzZwRNTmUHhHpGuy6oxpKjoMVxK8QJ9njsGroqZei/pC8f0koCkj+n1J9I9KHFr06ZMCKpE2bnCpN2CaXPR/+U8oPVnFPxIFa4SqBLzaiecBA4xNsR//OjHjZXqHTG9viIVG9T2QHbU8VRL2DYgPNA0FQpMlEc2xZO10McWng+x9YJNknZ54Ji+z7Zg0OC/8+f0cah9mNOPknoBCk9VbL14jGeukCGM5o7mnjuMxh7/PBFGzWE8Kjh6WGDUCVBVBPfcWkmIfVRB+MaGitoIkHsBphYke/WFKagiALmnsdn6YjGM8wjhffmU5xEkhU5rQc+YeQR15baPaPyNKmoKGJL25M8yBXfewtXH2GnNNrF5oJglrNVKIQH3pZHW/SZKZ+jjodgQiRL3C2D/jHEmZXcLSaonT1s41GfuwR2G6FdvCKF+wppfaIX9+h1/kLmlExLzfnuCCsyoiyj3QTEqmbQes1cP8SKAOHPqKqUWpQQz6h1TVULTLdkrmpSJZgoh3LaJSgdYndCtx3SUS6ePkHoLVQj2ecZVROhbUTZdEkdRSMFvaKPbGYImVMxpTWB4DzC8zykP6LxZzzt5EzljEIqBuwSWUnUQH8oqJyF5X6QKeZ3Smb9GR98O6CooNEGL5cgA6qWz0XQIMua1twQiXtUtWRoDTut73HbFid2Yfo5hTdm6p/xi6RH7cPEr8mcNqEjiIOUduQxn7VJZyG7VuOnDc5wjurmzDzFVHp8XnyKa0KQDlv6CXUD03Kfg/wUxzHYKEbOBmg5p3ROaZUWZQMaGXAenGNMgNI1ZW+b3kzTGdUUsoNyNfvuEc8NNDpA6RZFaBmUFdvnY2pxhzpySdpztit/8eK0mWPuTrCOh6liUBHexNB9WfP64xlNZml96eH8uqHqeRy7e2wNz/FshbMNVbNPajzGFpw4RjkWdxiyVxQEOoPRGbO+pfINVtR4dUZtHI6shw5OEWhCESNPPJypQkbg30+RgUZc9Dn3ZjQi4241pDlqUWZtxof7bCUv6agh/nYXUV3Q1HNex4K60nh5wRdpgtfeopAtUt/FliAzQZ5s4TtPCbwxgXyIvCghnzO/VxMXBd3cxT1pYQ896m2NzxRRp9jKMvMNF9k207zDJw8maD1mPk8JZrtMpabuzNkpa6oLh1GiODvs0lYeHeHS7frkVcm5zmgfdFAvUsTZHFO7jM4aTr8vicOcVuyz5wUUaUxn6NF90/CmmqDjBNPPGUf32Bl77J0rZp9rrLtYT8/c55japzZd6gcBap5QvXmF/L7A7hvqWLL7ylDHLY7ubXNv+jU6b5EcPeDi10NagWZXtHijt+lUKW3xmulhiyAL2XteIf51go0rfDx22wfU1mWy1+WsPMV6Eq8/4KIMaKxECI8PcKhNzUyP8YqGoDYIe8Jk6zMcx+UgGZOf9imKkPmp5UGzjS/bmLThuWjItGJ6FuF0LLGf09saIf4qcCuf4LBg1muow5Ru8JznR1BnXXaTf2FejxmHGVk3459Ou7THPhy5tDtDYj9hZM+ANl7dI3l5yG5QEJuc7/9wivxXg/ahed1QPAyRnYDdrZQg0bijAs89wzwKqLst2v+2RyeowJsjR6f8tfqAuddm50HCblbhlSn/59ldShOg2zALzoirmvZMcv9hwZvXOclZgthLqCeHFMcdAtnl/EPB+H5N301osg52voV0XiPQiOrd69+/y30PfgpHbnob+5OCN1y3quhsAlvrCslbFhkbgNJ6fj9VUFb/vpZlUwDzTWndXWHTIn49PtVqfW97+7zp2LveLr8LKt10/DZ53qWQvG/g2fW+Wx6/jiH0Nny4yWriJ8oJ4Fy6pkmxCE69iOElMGIBpIxdWPIs5V299xLxXB5bgiZALlyxblLgFsHJl2548sqCh0sXLgFYo7FCXrqIgbrGBotrhUBIB6HkWxY/y3quKu5vjUexCAJujbkCN+vuTWI1hs/qvUtXm0WBi/qvtLWjFMLqRYwtKy4pnwTlofXbrnQWwC6B16WbpFi4RgaedxlHTVwGY78EXEvQtLz+sv/F5XWLvPQVMFrdre/tWEfyCvJIuXClbJqGpq5/Mq4B6rq6at9FMHyJkArXdRfuaHLRpst21pdwyNhl4KhFe1q74k4mly5sziXMugQ4YlHv67G62p9XLXc9li7d26SUGG0urbH0CjQC1/UWbbkS0+satlkuqeKV66dajkEhLnfQs2+V+3YbrY7xFbc7pRYA6TKe2CZXwdVn+G24ZTY+v6uugavje31OWO2/1XreBKVuejHwPmDpJsD1rnlz0zh7Hwh2W9r0W7IOSNblvQmgbAI7q3PrTWUu0yZodNPv4k2/JTfJcNO967/Tq/msl7/aDu8DDdflWP3dWS9v/cXUMp2dnb0z75vSg/9HSHgkiE4V3U/uUp0l5KcTnn5as5sqDscOs8JwHlpOY4O/bWgyQT1x8Oa/xu42cDeFLytUoXAbyZ54RhH1mHTu0f+lIHDnBPqC+f/YorvtsveZwx9GQ1wFW5FCKZjVitPc5UEgaETA2HT45V9DKv+M48NvOCg6BGIHx/kAxzzD5jVmpIjtmHm/x/MPf0H8bUFdjJk6L/mwzCno88T5grn9D4SjCKNP+OdKQ9fhyacxXxw3tKYz6uEzmr5HEQnOexa30yNIYPsPE/7CFrls0Q06ZI9cok7B595zfvdvd5iWAe3Pau6dneHKguFjmM8cZFNz1zviTPfJCBCeoj+tCbVF9RVH0znJ1GJ+7PPJbozvuPzPpw37MqATNgS/+J6nSYskcbh/nNH6IED2fU7rDttHF8h5xu86Ad3WkI5I2H2meLoD8xb865lipg2F47D90YecvDpmOJ8y/y89BianUxjUNx9x2gSkFr4o/0R6b4f5oMvsqyP2H+6zfa9Lqf6Mr1p4Jsb+MeBFFnJSuXwuXjD7IGd2r+SBtTRVjzrvsP3HCS/37/D63h7/pfsdM98ylIqt/y6YWYdp4PDLj1/jT0LUaZ/a+5Bhe8pF94RfzEJE5VM3Pv1/OeP4uMeTb+9wT+X4eyXOw4J2v8Grfbw8QoX3OasznmbnyCd3MGGB3R/xL70UJjXTFw29ewekbZfjGHZeBdTBnOneG3K5y7bp8km1xV/iv6JsyZ1CUTceobbs6obvnAq3iHg4PECk59SUJL5mpGJyHZPlOzSPY7qh4TOdctYboeYZB3+Z8fzXMfMoJJv1OdjJUNIymTq49ozabThvx3xoLK1EU39fET7oULQlf/US9gqDbwV5EDJ9uUtRaMrOV/zqzUfEBLz81ROy4gCTdvHe9HAePSWIcvbe3MP3OzS+x9O4IfReEomc7eoR56GmFgUfjV4jRh0qE/Lqc8X+8yG9SQ47EcP8HoXt0r83xtUTtEl5EubM5vepyjat/p9AW4SVdIId9s5jurMA2y64iAMmkYtyZziJh1O6eF2POM3x8oJv91w8ExCWAZ1jn2HvgklvRF93qB0H7SgeTSVj1TByNdIrac8a4nnNq3uCCr1wRav3adcZcZXw5tWHbCWavTLn9//4jPZFwe6rmuGvPVQ9wJ/tcdgRjIuQV/MI9/4TRFiA1yCn92k3Ddt6jjtPQBdYm/Hn+Rd42mcXy/jjH3FNi/b0HrH3hCZoyFourWaHKnGZXYB7/wy/qolPLKqfIpCIPELtHECaYp8+4esvBtiwz1ZzyFQkWF3ilSWRO6E2HsP0kMfTlNAV6Dsx6vlf0bYk24157acIV3PgSiZ2G20FoRkR4KPxuJBtZuIUUzcE510eH+UYVfH7fyj5RZrTMx5V6xHR9zOccYO1ESePSsqwoXusyX0X/IZe/4i5calthOARTvYERUqw/RjvbEida/66+xkD5zVtm9IdHpA3LUxjiNOv0PVDKtHmbPtrqk6Mdj288xlOs4Uj2tAtGc3HlPMZn55kvPH2GXtd7qlzqt2COmpQ/9PjZKvNZLvFw74kfnGOfzTnQjyEwwKxleH9YYTa30Xu9smefEduYyrRplNNUQczxGHOkXqI8/wM99UZ9T9tEV9IwjeCf1eKO7XhYWUY39ljNBaMLjT9f/iefNwlfbNH/Msa/6zGe17z7ecpjucTi4jdKkNMPMx5yFb0HFMqqrTFmWkRCoeBcviPxzNE2NB2a07/8gI/VAwOu5hvYnIVMtuK+UfnmCzK+LFb4D27Q9u17O/Mef3mJb5sc9D9GD8bMdcNr6zgnnOEnMdkrz7iO/eMsp/if5wS/Ps+TlPh7L/k3tkOoQfcm/HVs89wdYvf9DX56Ig0rDn5LKL5S0yVaCbeBVQPiYThQfA98U6JF2o8YZDzPmVmORme8ebgUwhafFyMOemekkiopw95PDqh7adk/6slKH9BMR/w5bc1+62/0g+HHHYkp89aJKMAY9sc7oyQbsH/92XIP/+mZmdb8dW3D3EONU5H4DQ7iFaBaxvu/NHj+Sdjxtsp+8eSQTpBZZrfvfw1du8pqn9KLwqpCyhLwUXu8rnb4sB3+I+Hz6kzgZgLun+qyJpdGmeLz37VIhidoeYjLn65hft6C+9Ni7b/NY7jg+fx4y/H6HyASLf55r/911vXSf+XuO8t022L1vX0Povz9QXsu94633T96uL6Kt9LKwDsdQyi1TqsXrtexmrem5SkdSh1ff5Kihthx23tsZ42KV633X/bG/Lb3r6/C0z9vemmPr5J2frJdVfudwYtxNXGc4gFTzArffLW7m+Xd1+r8tfqubCAMYvd65ZlWXsdT8muXC+Wxy6DpK+cM5fuT4sD18GB1yrzEze3ZdqoxGm9qPNKbCSMuQpYbpfBscTl7oJyOaaX8YoEepHRJaSRV58NIKxBYpFYrFlYCgmWMOYSEFyJvgBI8rIe4qotDEu+sdiAcAGelkzGLgjQFchDSIQ11zGeNiigK80FV7GZFn1+DTr01fmldc7qs3eV59W4siyLXO56KMQlWLyMB7YcIctBdTXPLfvcmEuXSctVZgisXQbcXwXwV8NjpT6LeWgBwVbGzwr0uUKoa1Drer6xi/YWXAE+VsfDhhH21rN1BWqvLdcWoO2n4GUVYq4C/PW5/13wYHnNOhBYdwe76fqf89uwfm4V9rwvlNr0LN70+/AuGd5H5k1yrZezae7e9Mxsglq3yX5TXTaBuHWZb/stWZfrXcdX5dz027A+3latVG+T46bx9b71/FuSmBhowHiG4dBSCU21VxG1BarwKKqQaVkgXcOOsVycO2jdYLXBbUb4eLieTxoHGHJ0OmemNLXJ0OU5nZGPcgXGbCGDAmUanLMAv1UhKg99EhF1ZgTaxS96mDDDGAeZuZwVBq/22DrbQRhLETY0gylMIpqkpphXdPYicuEweTXDG7qUjcc4aEOc4dkGr9AMogZPKtqFj8scmxb0n8646AzIYsH2ecM4ttS+S5yE2G6B62g8z6Azh9xqjH3BoApo1TCWDp0anEzTvCmYlwIvUMS6InUEwmqCRCECD+uGaOUzlhdkOuNOZhBujG0r1FbCNHbBkeT3fKYTTSMq/FBQDWvILGYrBqMRSY2JJI6QeFIS9DTtrEMni/F0xY6X0Qpr3mQtynYJkWDnzEVnEVo37J4YtG9IrOUwDRj3GtK4wG1cjHGpRi7FoEPSKnHUkHK2TSA9fDwcWuh2DWrGaGJJC0U2CUgGLcpak88mNG5ApnIc3jBUJbKGbq0o7/RRE4/e3KGU2ySxorAu+1hMS1NFFu9MULkuaSciOOqjMpdBJ6eX1zSFIBuGCMcn0BrymiKqKJ2alqdpiQlVrchmbdKexFU1gVNig5LGtTQEWB8cFRA1OwgapC7IqgYbgcWhsQHepIVqagoxod1ysEYxFDXttsI0Ep2nBJGD8QLmgYMnzhC2ZuRaXAGSkIkIcG2Nj2Hm5UyFQCGovYbY9ggbjTzO6MgOygjGgwmBKJENGAWFrUCDN4WeO6cylmSi0a4gdxVp5qAyg1NXyN6ccF4RpAbjKoQ7xVGS2PbxGx/XQj2CakfSBB5adnGMxqkT4sLieKCjEGfapmlpynAG1ZCpUZRNTGcMVD6V9eg5IUY6GOkROhGl8Jg6ilguYiNZVZB4EteXeFZiHIPfeDiFQpoMR5d4xuKweOmmVUhpXerCp25cJv4xlZI4KOIzizQ1mSppznoQ1jhBTaktc9FQuRWhb7G1ZmJLnKmLb1yCjkM0n+NIQxCUmKwBVeFvFwRBhlNr1Fyh3JRINfhNTp1GCBGC2yboJLikONYiyohahsxDS5N2Fus5pWiPfWQBpq6QpCihUPTJqwDhlrjthKYsaBpJ1tkiNBKRFaj0gsgE4Dg4UUklYww+bdfHtKdoYXGyhqKtMVrjTzVmEKERVIWD49dIW1MVGagWjfKpQojGEU5eEWYZadSgHcHuvIOVmlKCXyQoEUAAOszQQlNpy1ns0E4tbg2TQQctA0Qd0r6Q0O5jvZgqCSh9Se03KGkh7WHKEF2XiFogrKHpWZpZSVX5TMqYpvIABy/vUkYNWTBBujFuE+JVmuO9EmxOz1p0opBVjOtbOCjodgx+XCObDFMbqiYk9aAlfAIlOe/PkWGNIqGbK9JIkESGraSmTjzykUdHOcytYNrVbFURrnZxpaC7lWPLimFekUcG1eQM6gnx1BKkEBlD/rqmMhX1dsF+1lDmLoUQiK5P09akZkpw2sIxPtKJoFdS1JJh4hC0CoK6ZOu8wXG71EFN6UzZzjW+B5XTZnIBWSwpWy4ymGJxIPdpK4VTVYg3Q/RWjXYUTR0wH7kEVU3UuWBvNmc+08yOA/yewZEC3eqhXI/KwMWsjfE0jijArTGmoq5qisxQyIBGaWQ1Y2tvhh96zGWMsCGNKWnaEwoRoYVLdGbozwXkmrBuMTA7BNIwTWEuIBeW6qRiW1eoJqO/O8TFp3Z3OO5oit0S4yeovMGYHFlpPrirqdqWC9/Q208pgwiNQjXHOHWFYy2laFGUijxrUdSnjDRY4VIdTIm3cqK2xZV98GZYneEUFZSgG4/6RUykffxaMe2/gsLBESF0cpQocb2abJgTTi9w8yk4JZWQ1NohnnXRxsNQv3Od9DdDqfUF7/obzfVrbstj/a3qJuCzWtYmGW5LG838xUJZ26RMrcp10+J0XTla/ttU1k+UDVaVv5vrsq7UrR9/38X/+yhs79vGm95q3yT3+rFNitC7gNcqRNqU7GUeC9c7sJewaemItym/pXvQW7mIBZha3iMvLU1YxhmzS8e+hZwKrgjWNd64hB9LmVkGdb7M11nAhWXJgiVA26yMrrfLNVjTC2B2Kc9lI3Dl83YpC3axtbO18hLQLOCREJc7rNlF8G8pFY7jYO3CpW55javkJWzRCGPRliuLqOuWMziXFmpCLl0pF7U0+tIySVy6wV2WrxeVYiUC2AKMYUEvIJaU18BjNd7bcpe7tyxullDmSrb1+YMrEPU2QLkMfs+yOS2LeEmL8WA3QgiuYBeXI+LKguutchdPuTFvW/6szyfLsWVZuM4tcebSUkxIgZDqEpptVpjX4bsQyx0Vr0HY8rrNlixvw6mr+cy8HWNvef9qIP/luLm+/bp9V62hNllFLWHoprl0tb1uAjOrea2W/645ZXWevmkOftccuZr3+py46dp3lbNe7/VjN83/7ypr9brb7tmU3ueFwG3nNwL1W+5dfz5uazNrr3fyW71eSvnOGFfvA5o2wbC/F1DZF4amJcj6klevHOyBwr2neOQJJG2yYosjO2FPGz4oYTJ00W4JQUG7OqGtd4g55OyuoLjIKZoxZ16Dx5yWTui/jmnELjNzF7vzFTrxaL7y2fpPNXrmI7+JcD+eEDkOg6ZLU+aY2hCOG15mDdva5bP0EYl9STpIGfZzdPkheaGZ5EO6B33IofxySKcZULkumb8NOzNc4xCfNey1DFEjic5b2GiIKcbsvDjh6//9H/C6lk5guLhjsNbjzrfbOP2XOKZGR22aQlHUGUn1Zz6sYqIi5qg4YEc0bFcN53+eMRm4qIHkft7gOCWYhuCVj3rYhbCNqD2O3TOUTtk+KXAP9gkHIZX7LadIGmkRd9ucfTfD5gVur038XU48rcn/8w7xmwly1KA9i3ZdRNtjcLdi8O0u8SiiEWMO/DOaMOe/6h0YzAj6Fff+ZDBOG+V6fPjsnOddw9iXhLqFt32Cun+B1CH6h4DyKMR8fsiwc8RYnCOGv8QXFh9DpDvUB8e4uxc8/ZOAzEMeOYyiQ5LkDfPJBcf+IwJmBPmYJ4Tcm8P9meLFh3t0njhsnVjORcxZr+Jiq6ZvLY1Q1MbH1B5ZJ+D8MML+Wws/Lji8k3FwlDHMAy5edrH2Do2cUNvXnO6NcB1D31ruRUekZZ+TyQOGhz26smY/yCja5wjX4BoP2anwtEc8u8dMPkfognk9w8YGLT0S0+PwpIuqUjJvwr6OSZXLc6+EnRYik6TP5sRhjm2HqL5HZ/YcUaa8aQV8bO+C7HAUtNmqThBOwVCmTJsYKRWRrOk4+0SVZvf7H3GiHklHcfw4ozPNUIUhEA6pWFheP3iTEO01aBeOXkLzoKJouSSTkJ2ixHdq8kcTwr80hIlD9Zkh8I/xnJo7NkIULUwekL/JMIGLcRwK9wDXfY5qxuzNFDZqo70Y82SbentKM5gjTs4ZinvM6z6f/yjxA5cqlOyJLXTURvshNm8YS8k4lHxgfVDn4EzJ7ADpOyhX4ssat2nj5gFO/Rxf5/h1ieM5KBUgRYCmpEk8mpnP2ccXuMLDqyP2n7uMBg1nOyX1szbeVoW/n1FrQSJgpCy/amtylXHqTAiGLn6ng3zQZ+vFM2RHonZLmpcXyL5Dez+gbyf4Mw//KMZ5OMWIklpk5NlDcGOcVkR7/w9IVSCMwDn5jFIpks6c8WgHrxbE0qBfL3YcbFoFWs4Qoo1vB1zMfEznAn//GPUsISfmbP8+D80JTpZSnY9x649RkYN3CM+cHgKPQ61IdzLKRtM9cZnvW5wS9r9vILpD5UTMxz7t7R+xdsb4vEJHITaMsH7GzkmHOClo+U/4bi+kcSIeT3Y461dMnJTD7ByhHmFin/xgRFVKUqs43wr5ZJzhlpY3doeo6tNKPMJnBeKzO9Sx4vxckO9eUEcVfpmiJ1uUM4H2/kJlHbQn0XcCGluTT3JG6QGoFM9t8LJDpr0fSHtDsJ9wtwmJK4f/+UnGx9Wcg3zCWb6PV8WoyiX/xWu2qXG1YTJ8Q123yU2HSVgRuAGu9Di9F1LqHFEk/JaAsu0y24HoDM5nbYZVi88dlySQnGzB3bKLW/oYI9nbPWJWV7zKEtx2zbY3Ys99iXm6hcSAk/Hl9zXlYQGPcz5/rTitDD/YBrkrqcKEUXxB8/Qj2jKk23fg7hOmqc/UONz3JvQnFTvfw+H9e5z6E77T5/R1QaPAtLZ59bVLPTfItqCK3lAXbTj5kL0tB8oM/fQJRf+AIgxpbMybNy5dP+PDT57ywbdwMYsY5zt0/qFBhpJhsY9oFxSJ4MfXMYPDmjAssGSUsiGvKqZHQ7TTRgaW1nDOg0dDzHaXPzcHpM8toU7odKecuG2UiflctXBmBVARyA5B2qa0FqUL3vQDElVjnuW0bEYvNOx/8hydf0Rhuzz35nTuHxHUM8RFSvnKwakVv/xtzVexYOoZ/unDM47zD0hLl7D6I6FROMahcAPK8gH1rEOVPGUm25SRj7P3nE5Y03FDartPQImxYxIN4lhQn1nsDzvs0GHLd/m3L04Jpz5R4ZL2XuFHBW5Lkv9HBeUEhwJCh7lymQvBwat9RFRjovKd66S/231vfcG7acF8m1KxCQhtglU3LQg3LbjX08ayxUKhXroOrcZkWSpUcLMZ/3r9btoRaWn5YS8D0wgEixjNK5YrN8m4ms+aUvI+StPPeSP9rvSuxf379MOm8jeNmU2f6y5+t8lxE1RcVx5XQdlVHpeiLWMmCWERZtFPi2Or7n4rZdtLkLG0ahEL67tG64WbHeBcxkGy4qoY4OYx9tYxy5XFldXmEpItc9kEPQHEwnLrMii4tW+7Ly6BmVTO1c6Cy7pJKXAddQWBGq0vXcssVyZQWNTl7oBSXIOeBUyRGK0X7m8swIpUCiXEFby7RChX19vLvK2xLDdANEIsnp/LZ2w1ntwVqBGXFk4sdoi73q3tOuC8UurKddEuLYCW94kVCHT5T+v6J1ZLi25eVY6XrbCQcZnXKhRbBVLrFpvLz7fGn1gq2gIp7ZVb5yrrtpcWbtdtcm0puD6Gls/OT8bTmhxX56SAq8D6m2HIctdS2Oy+u4SbqxtHbHp21+f69dht61DmbUjFVZ3fBaGAn0Cx1XG03ha3/V5tSqvXLqHIel7r8G393PuUt+l3cbU+70qr43v1/vep16a/N+V/29+3rQHWr1/t69tg36b7N8m9mveqG+pNsq231TL9Pe57v/nf2iR1i1kTMzMe++OIO5OI152UvDOl7MxQ8y8wRQ7ZlF+MOpx7DUdBwT/OXjDrh5zu9UhNybabcRgkDEOYyz0SPuCf33zDaNzih/E+4j99y/5owKPvP+Qv0Z/pRS4ftrf5XT+kilKc1ohi9BAjHISr2VE/0GhBWnX5ZdiQonhifHbDQ5hJ8hcFh62vCTKJd3KHyb8a8jgnrUeU3z4kcgPuPZL0/lozTgx/qBr+6cMSXzQMzzTOZ4LIxuw8+4Czx1+RupDMP+Sj+DV+kjL/S85XvylBKj77uss3/S5ZZGm3h8zf7FFOFPX5BQf/yaACyfGXIUIJQin5wPXIlEbbBpKUWWuE51p+I++RhBV5pJkcwEnRx+YR//A65M0BJL4leK7ZO3+CZM5//ONdPvnBMJjWnN8bcTbqkzQOzac/0A+79JyIBzgUNCS25q/VGOdJF3fqE//2nPkzQTVS9D/uMp1EpDOFKk740JYcWEFtPuf5YcZwp+CfshYvdMCZdvnnvKCxPqV0mD94QZjGeLOA4xd/xN2OcQd9To/u0tp9TXfnFXdfhoz6e5xv79N4hnriokeK+PQl+4cNu48E/3W+SxTN2YrH9Mt9itohacCEE/oTyd6pR9t4jIKYk1aHz4fPGJmU5xR86P0X5r2S490zPrYj7NQhP4sIc4/G61J0drjzi6e4nkXogGdVSlQ1HBYNf9nbwa189kc+p3vHtLTk3rzNn4sRpirpZDX9PRcrLHlW8+jiQ9zGUqohwnapOi7TBy6deQBFSJH0mN/7kirKKFyHXzYh1gq+lxX3ph10EvHirMf+3oh2nNPuZbjJFlXpcJbXlLNtClcyenzBF9MR7TynSHJ+3DukcSWfzJ9xHtwn1xH6IqGzPccoxbPjh3zUvKYVzHn9qaV+rZGpz6DzMeHeEV4rJ2CH4vuKIqmZfVYRSwe3Cmj++ginV0OnYbpfc+e8IiwEL3bv4U8rRJ0xuv+EVnqIV/Yp/ZT9kyGdLGX4WYfKszRSYIoB2xcjojTlh8dtdr2YbeXjV2MyV5M7kqx+gKoFrm7YCt5wVvU5r9q48SntoUs89REPYxAj0GMiE3NUhByXLvfM96S+JvUln+QD0jBlGs3p6gBxJLEvBMQxZ1047mvaLpB1MbMBfXNEx6vohZqk3EP4AtXStJOEqZ9yGicclJ8hRg36ZEJzf0TKgHHxgEfNMfPWmJfb53xeBviJRI8E6UEPYUOcJCZ4JRFNiXEn/PiLOS1j+fDcIZn6lJ2C/PGQ/vdfILSias+52Ipx5yW7353i3vsAGTYo5xXf+R4SyYMGTiOXVELWNFTVPmGtuJdmkMzJK8Wbaof91g+4nqUIHxK9ekLlJjz7lWTw7ReEhSTe+QtnwWMa5dIRLxC2xhOWrUAhxIBUunztpbS1IU4t+99q8m2wvkc72+XpIGLWagi872jmDzBNGzOYcXdu6eUaL7/gJOyRuhGx53PsjZk5BY7qEL8uaU0qtlRKEfbQKmRrmPHq0GXYVwS1xk8iRO1w1DvmnnUZNIrzUcN42iIrffa+OKdVnuNnGfrlryjnJxT5iJP4I7Z2TugPztCVw8RvmHka0ha1cbGNwxdfQrbrkex67D+pOa8vOBMXyI98nDdbiFcDnnxYYD1whOTz121KmTH3pwT+c9xgD8f/gNd/nGG3HNS9gFaimYgRZ+qUu6O7tOcO8VTwh8chJrJ4rsZ5bWiNBd0LybyV03Ym7Dmn/I/kkHnooLcsg+B7vDzAHe3Tmj6n3tEkn7tkv7uPqSVEBR+0X+CkmubI45n/CCVb7ODxLP2Ktiz5h9CHzh1Mk1NOnpHvHNB0HJqdBvdFj0RInu3X3C2OCFWJ6kn2pEOatPjDj/exHx7Tl5rfvOrww4FPJSS7x5rkwzdUkSavdhBfHhGP4WP7kB/vTkk7lk6nz2D6GmdWM315l9DJKVTKH8MjetwjMn1i3eNcZwir+Y3rQXdOEZZ87ysqd4jrZXzetxz/KJhlCv3bgP53Ff7MZf7ZL/F/nMJ8xpvfvkFlbYI85NNUYbcF+Ar3mwHcmVB2Znx5NKYyNa5j+V8edbFnAcUk5OvBRwziCzrujOTpPVQIMob6wGd7rmlPa756dowNLDKSNIc7FOEEK8b8P/+YMbsfMnoY8j/+X9/cuk56b0up9YUd/BQW3bTYfd83q++rCGx6M/1z0pXieKmMslR8uVRsV5T89WDA6wvfdykWbylMiyOXx5ffN7/J3yzz2+dvUho2QavNSvX7tff7vlm+qez3uffnKEi3Abr3fdN+U95X6XpzNa5Fs9f/X0KNazJhr6y2xOVxw2pfcQkN5JVhE9iFRcvVTm6b6/WTvreLqwWCq90D3xZ0VdKVPK9EXR5ZeYbeHh/GgDYWKRflLeNJLQCbZQnnkGDMYvc5pSSXvnpXAOuqmbCXMbAuQZBlAaCWaM0sAo0v22URe/26XqujYxOkFVf12+DyxvWTJuDKzfGtbhWrz9TK+RXleLV9Fm20ClSWsXrehjnLIOFm7d71vIBF4PSVvlgH1itD7SeQ7iYZ15XrdUX/el6TVzv82csGk5cQ9nqoX1tKrY/NVUhm7fXGETf9bmxKS3mWYGc9ptrbFy8/boYVm9p5feysynfTHP+u/FfTOnjc1C+bfjveR/ZNMq+38fvmddP8sn5u9fz7/o7flsffmm77bd20E+tqehe02iTfpufm703ziSSrHYrGhYM5XiZoGY8yiim8hNqWeLg0VYbOS5zI0hEVjUlxgm0i6bJVOrQ7Y5TrMFf7dIbnaCoSOaFSNbWTYxnhmoAmUMz2cwZDCEqHPApoiimyLohnBjtpMH6FHMzpTBXGlaiO5jw1NK4kbAvi0QhVK6ItSTpqsJmlLcYkZUNtKoJZzpwc12jkebmwe5UOTdOiSlN0VDHer7k77uPriDwQ5LJHZgqm82NelopW4xH1R7QnLSQRfrRFp92gAosnujSlRZSaOzKkXWVIt+bOVrUImG0ChuUAJ8iwpiYv5pQ9kIFCTlJmKiLzPPo6JcsE1UzRTMCqOSooiFTJnIZSezSVojCCXBhqR+BhaRsIVUyeB0ysQ+xnJKWhqA0DQnLfoelD4ykaHJrGQXqWVpTjaJjNNYm2jIFetPi91mWFagzdsobGZd6ZUuNTSo85HlTgZDXbKsDVPqJQvJZTGnxMc488rdHSRwowscJUYDC0HQ9XG5qkxMkngKFSEYnjYksfOXZIP9BIAUoLqrahCGpkUJDSpQ4EbqdmJiqQsDMJmdkOfgUdX6HaFbkuqIqSYRYS5wXdLMF0JVXjkkw8yp4HwqLDKVEegG44aSZUQYCrA4KsoZxOF7GDQkhbHm6uqNOG2BqUqmCqUZFFiQo1TZhKQaUV1TjjtGPwJHSyGj22lHlNLRUitdgGijJjWAwwVuL4hlFvRiks7WHCxAZU1qdfRnRKhxLLXHbRiQsatGeQc4lnLQdihOyWlJHFw8FXHo4X4kcuTuMj0oachFrEWNUinjTEskJZy3BwjokChO8QKkXecig9gxec4s4VUhvixIJOaYQgyipyx1C2HDLrIwuDNIJg7mOrNqV0Fn2WaWgqhi0PL9MEjWUUnRPZENe66KxA2opAaCQVVa2YZAKlC1pUhKYBWRPahn4NLhFBVYKu8fOMqnBQ8y10kOMXHr4JmEUKFShajoNxM0xg0CYjkxZlfFztYoioS6iqBu1NyBRo5cEkQ1U1qlViiy6+DOiIgsxr0aicWFsqSqwOkVmH+SSg8QwyGLLdE6jCgbyNqBPQkqZqk3uQujWJtrRDiV86BJlLE5TIusSNJBPHQSqXjupjHIkWNVM1xciFcUCmclw1wRBwESvcpqIWhlKAtQWqhpAxlVTUKqBvalpuhm8X7rwttyIXgknaZdAaI5yKc2MJLVgku7UiagLc2pDvjnHaMY50CfMpISWFlRixhQwrnGZKZyzopA1+VS92ITUuvnZJhy7NoAJZ4BX7tDJBWEgmuy6EDY4zw7WKtjWQGEInx9iABoctzyEaKpxEILtzgrxAFg7+m5JaCCrt0UkFjevjRCHbnSFSWNJJD7dXIxqDKjSzykMKcKlJ9g1ptyb1c/JSYrwaGVsmeRdPh/iOws8DrNugWpqgKqmspGza6K0+wpUIxgRRQum75LKiMy6QrQSz1YA/oxCSMjB0pz7WGpztGl8KTCCZDhQzIqQnMYGkM/MQWpHZmlbUw5UNsjxHtwS1E1C9jvCSGbgONvYYzhxCa+gdNJhmjmMq2tYlKnys8jgKPdrU+LYikHCRZ+S+xLg1sVi4cx+4Deo8p5E1JlKclSFZ6WI7NXuBoeNYyjuKQJZII0h6IclYYTJNsJVQDkpK4TAaujhlTLuqidSQic1ojAEzoaUqwtCwvbWDP3IJbE1vZ05+JqlyxdgYpATtOjjaJbQD3LrNLG3wszm9xjAd9gnmKa0MvEJQVS3KRuI6U/q+pmtzvGKPSaHJGoPqTbEZNHmLsJ3jJTGu9vDdGOMatGcxnRNkJXCTNn6RIjoFNmrIT7aoTIGxOd5dSygdAuUyS2t834FOTH63RsSCVv3ul6c/y31vfQG/aRF405vw9Wve9Vb6713EbpJ5Nd8lgLpedF4eXWEDm5SX2xSMn5TxFpC6tj649rlaxwa3y/6+StJtC/i/BfxtkmU9r411fk+YddO9N8l6o6K6kjb2+XtAvOvxcTlCxHVA7Wuacx1baqUrF8eNZbElyEo8sct7F25hK0rrwgzm0rpqca+5tHZRSr0V2Hu9H5bOb9iFtYixFqHUFc64jmN1bQ20UvPLU9dxgZYx1cxKG2l9DQWaprmyMFIrbbC0dlp+SARCGJplvCvBlZzCahohUEIsdvbTzQKwIK7glF26Utpry5+lu9iy/puB1E/7eyGluLI2Wt1R8W0GuP5svD23re7MeXXHW7BhCa4W3693vrumSOadz4V4u44bZ4a3rYjWwc06QIdry51l3qvXLN2fBIug5lJKpFJXOxAurOoW5a7Wd93SZLX8pYXUcuzC25ZV68/7T8b1pVxN02xo5xXLqqsWuW7TTRBsE4R6Fwi6Kb3PvHMbAFs/v+nvnyPL33LvJoBjrX3L4u3n1nM9rcO99TXDTbLfBgQ3ybLel9cw+vYXZJvqd9P3963z+6SLF1A3khqB++EYJ6xxA02x+4C6crBzjc5BJw12lqDvd2iXc9rZObb9G2Il2aoK6B5xbLu8yB7wD0/H1PWMoZOQPqyp3ArHyYnLHWykOPtwxCdjS1X5XKQxwn5LlEu2Jz1kVWD6GdI7ZfD9HdRAst1v+P2xwekZDu4a+n84wgkc7KcdvnwjiPKaXfeM4ZmG2nJ4BvL+BDSYJxlsl6iwTzS7QzMZUbgZFx9lPPzdI9ymzexuztTfISnGzC++5Fx+RCf0+Yf7BYOvP0A2fcwHMYf7L6lcw3xywDQb42aaXzo9ktli97iPPrpgVIRM0h4/Po/odTRCFkzPEupehPQl9vUpx+Fn5Dbi43JMOTHMx5ZRYijH5+AP8T+f8HS4zbjqoDKPTDRIz1L4Pl1liIRm293mqzOfkyno3inzTGNLya+4w+t9zbynaVUtdO2jtUNkUjrtOdqrqJ/2GbqWWWD5z9sFUlfoi5oynNOvFN0GvtuZUEmXxgZkyYfovECWc+4HXVTjU08VVXRKzh3c5CH16AISjZilNAceQmgCR7O93cExUL0s6ETnVKbHzGyj9yLcPMB9E1AfeAwxDF3NVndCGJYEvmF+dAcd+0T3a05Nzd6Fw8ev2vx3v80grri3l8H2Oc05FD+0GE577OYT+idnOP9pQGkijocx9a6H00qpO2P6x3eYNRlPxBu4+ymRiOi+VIxPviXv1mQPJZNtHzULqaYhbY5w0gL5XCP/ycENNcFojlb7FIWifDnl2S8aulbyyYlhdpaRCY9qp6RJ+xQpTM2cYyNxfYfP9iryvTlVU3Hn+4yjrQcoGdOzkq1ySk7NhdwhnEmCpqbczlHHHnFl2Nt9wZs7LvPYJdAtejLE80LswMOZtNEzy4UYo7w7uGKL3ktFEJxjWlPOPnyFqXZwbcyuUZz0HXJZc698Ck4HpE/73HAWT8mdhHvHkte9kGGvRVTFtDNLkEu2Jy2mUYtxZIibEc4ko0ozfng84P4Utqc184fPiKo9wnLAvMpQfsjAd7FVyXkVMKwVYT1nr6mIKknZz2iJlNjkUHyCL+e05Bg5LVD1Ho7eY777FFlFxH6XaqvCc322CRjaBsIa2ZpRCI1II5hsEWtJWsBZocgfZAhHoJo26uwCP6xw9yr06y/wHOh3Ep52ergq5KAWTLVBVj5+vs+bI0U5GGPvn+Dua/zpNjb/GKd5g6rs/a/iAAEAAElEQVR8muwO40HOLDRMa8tuGzzh4J23seIIq2rUwOVIBUjh43ghxtVUasYJY9q6QBpNZVJitwS3xbE9xDEaW+YU5RRdVchaE+RPOQruosMO+80EP5zjOOAIBx1MQLc4nhww6KXYMOfV1LJdKDqNx8emhrpD7ml+/Oyc+0VEnDvI8BmxDTBVTG4+xuk9JzRjPvjxDtJMaGTBedzBa1rIMmT4vAYyWv2E3ixgZyJRRcC/t2M6rR/ouheI1j36o5zuuMQf5GR1m6Jp0fYU4VDjHDe4/+WcQUsjU4v6IWbU9kiDkH6a4+z5mJ0eg/4PDI8OGZ8f4O+f0Aw1nDfkVQs/znHjgtGjkploSGpDu2xT9Cv0XRgd3aNlFKJl2Sqg6SXoTo4jSmQRYMuQtHWH2kxospc8aDXUoWLuKB4ezUj3JObQR/SHTL2S8yDni/93hDew0K/xoobTUPFc+eTpI5S0NJ7k4VnIWDW8cXL23F2EO6TwnzJs75OetEm/7LKnv8SLA9T2Q568cunENQe/yPHmJ4S1Q6dx6WcDpq7L93uS+8MLek3BQLkMyznz2qC9mruyoGMld7Tl5XlBicZrKZ4cBZTKQdw/54EyhJ7kzb2a3vmMyii+3+mQ/1sL3xp2Dk84fWRJhiFHFwF70xaxSfB6P/LHXDDJBQPOaIeGsBdwePgYMcnxRcneZ0NMdYdxFfGjzIjaGq9jiYaS/WQXr3B5OirZ6z2jH+bYozvEWUpb10SzjFPdwaiYjkm4FwzZckuStM3FvODEZjQfvkL8dR9v1OXB/6YQpzFOEqBDDxVM8MoJTeuvyNOP8d/sUblfYd05OqzJ/lpRxBOa3pzg4zvsFQ7bqeTshxHGj7Hb24w/s8RJw2D2Hhb99j1XWq1W69a3iZsWm6vH19NNgOV933j+XOud1c/L3JZXbSzjJtlWj72PsrMu60/FfvfCf1MbvqtN35Xn+16/LP+2v3/ude+69jbYuap43jZW3uUSt573pjHyluK2KJxLIS4teBaw8comR7BisXQZ2+oS5IhL0LI4s9jtDbGI/bNEMtYuYjbZS5Kz7J9Vy5S34ABLtzV7GdB8ubPetWPfYjfC1XZa7fNF3ZSUiMv20noZj+X6+bDWonV9VX0pxNVOh+rSNRDJ0naKpfHhMp9V+eWlfAKuYhZZu7DMsgKsuLZYXO+DZT6rYGXZ18v89dUui5d9cBlA/KpsKa/7bgVKrQ+R1XGwavXzU0hyNTouM5UrbpVctqu9hGyblGh1FT/LcdzLfJftft0+y/vWd6G7qsEtz/X6HL16fAGiHBxHXo0Vay6h/aVrJoBu6qvnznXdt57HJRyr63qxW98GV+ZVOTbJvw5LtNZXkGtTPst71kHUahuv1/e29lvNd5n3evuu9tttLyjW77kJVG3qp9XrNl3zrvSu69frcNNv6m0vQ94HiG2am9dB2HratNvfpu/r9Vltq/X6rOdxE5Ra/XtTucv7Li4ubqv2rekfgz3ObIeRiPni8JxJaDhzLckTiTR9PLnFr6zHeUfzetCw5QuqNKdMUj741Sn58S6zH+/xq96fKGPBqO3zph4TjRr6J5ZXg8eock6UHPPxxx8zrkqeji7ozlKs7VI5d5j/5hmi2Ea9+RTzybeIJscdGX57VJGbbZ57jwnaR3TbFXe2LeKrHSYdeP7rnFhHxNrQLzP+9KUgNvCbAUzuRuSRJfUq6vQldtJCvPgFe7t/pBgkPH2gUOUHqMrDTWoOn4AvXeyjDn+evKCZGR6+2eb0oaB0DOKi4PDjDm2taf3+DeP7c6wD/bMu2ScDrLREX76i+NUA/IDe1y5/7uVUTsO/pJrfD33SrOaX9UvG4UOsanNfJ3wVFgzbgtbjfR68muPNE/4cvmJn6yO6cofBnxyefmBJuzW/GL5GBnMqr+THwCHUBtdaagmTsy2aScAvpq94vd/nousjZq8h3iVwYv7l6Uue9ReKVO/Jx6SPztB7Y377QnE8aRjWhrv/qkhHD6jmuzx88ILp65jJmxbnTc5WELLt++zPTrkwPc5FD9Eek27XZB2D/0eHTqeivVMw/2REVmqqzPJPToCQezRyFxUdgW6gNrRUjqw9RBVxHMQcn8CbZ4b/u32NfLBN9elDtp6UZN0544Mpu3++Q+S6+D3Jf3RTiCRx7FG+KghnGb3pjPZHgjwLuDhqU/1jilsNaB0/ZHQnQwcgPYk6+ZZu5nE3vcuzjwPCOuXRyTGT/gPmjc9wAul96PoFn8gRI1XgjC1b30qefvEBKso5tN/wY9FnbgIKEaDdmF7a8KsfRxTSpei7zH4ZsfuHHGzB+S8Tdn64h2/BfPiCJz/uQw2/2HvDNPAoHYlWguLbLUgF7cEx5r7FxIZK1rReC9Q0IE8ekn72GuNbul/+GrVX48YFO94Jk5M7ZHlI1Z8w2JnjhpqLYotDWeEj+M7ssROfE9sU+2XI9GGbuqM4+O4NlUnIHM239w/YDUM6NmD014g9b0LbyznpROg0RlUBj3sFzzuGoWv5zdceducYsz1ExD5CN2gNL/y7bB8pOheGJ4/f4Ik+gYmJi+dUMqIWEZ1kSiEspaPY7X9KIlNmcsZIKraqiL0qgqzGznyaxOPPj5/RLyMO0h7z+2/I6pIiazhQMYnnMAokcXOCJzS+gK2nOwz9Dq+6HX75+s+YXsT87i4if4NsFvGLGuGRGIdR46LDilgVbIsEr9aoqYNzGvDH/Ue0pMOjuuF56weUahgon0jex1qo9Az5IiFrGs49zb5vcHUPkTwm0EeULcX5nV3KWOJJS8801CcVwk1RB6d0vg7JGsnTffjgZIzvSuoPBkRvArLK4UfXx+l8TyxzHuUtvm5ZZkWI890H9A8K2q2SfX/MLMypigb7jSb9dBfZa7FLi/BY46QOjtjihbZkbsbW3e9ozQKUdSn2JN7pFNnUmPsxSXYXtM+94BmGhtw4/JDfZ1CNkWXC16Mx95M+/SKEyqD3Q/K2z1czj0fzM7aYcPHPBVVTYHVNxwja0sEXDolV2O8r9FnD6JcuwhdYZTnPM+KXPvG5j9/rMdwNSGLBvS//wvlOyHi3xU6kcF6NEK9nZOl9pvcysoM5v3pWUhR7pM0W2v8js/42s94BbiEJqpSwTonYYuKXjL2EX78ck88F01QRD3KaXFClCv/gHk1nRNU5Iv7Go2n1KHa3cJwX6LKiTjXTdoCZR3ARc/p4yqCc8eBiwh8nDyhdjYhT/tl9TGkyXtWvmbR2MMECjB2mIVkKbyYa5Rla8ylbR6/p9x8xDzUvWuf8KjwgLH3qc8k3Hxwjm4w7Jzn+QRc31fjfTviju8+8p5GPz5BjS7sM+KDcgfNT5pXkmbOL/SRH2ZLwuxl33V9Dp8fRh4K9zjFBWiB+b3HLiLwnefq/NTRHXeILyRcv5ri7lrIleNHymL55SV3PCbYqPqw+QhmPPzjfMbi4T0/3eHA3RgyegDNHX3Sh72Fdgxkf04oOsdrnxbdPUK2A2pd8T8qDnce0nC2efpXx+H5E3HX53ZuUw+iMQavE7HxGoZ5Q2DOGpy0Ka9GNonV8Dw5S7CBHFYZ2MKfl5UgvYlzHZDrgI5Eyf51QDBs+v/c5R03NGwqyz8c8nBnuz6BpR6B30c2A50XNXMzIxIzh//nlreuk97aUummRuvz7XQDitkX26pvVm6DQTYvN91ngr99/nffmRfqmt+3rZawvbjct1jfJ8FMLCHsZC+fter5r4X/b4n493XTNTcBwUznr+d02Ht4HAr1v+etlrCuh71P+1dhiU/v/9J4bFbLFgdW7ro4v75Bc7/Zn4e2A5Fd3rWAXa7l07uLK/klwbdFzSzJYpF0GtbZX5dgVMe1ldot6LGHTcqyt9MHlDdeKobgENUsYYq+qbCxYe7nb3yW0wFy27SXsUfK6YcwKWBBXMbcudwa0b7fxEtpdCchP+36ZboYCK/GmsItGwFwFaV/GKV+1lFy9/7ZxeRtUuIJPq5DqrY5f2rddgxFjNItRs4Bf18/GKnR5G0ptSpvG/G3gxV7KaawBY9DaYsRyF9JLqyq7lO3tctfbYN1ia708uzK2NkGp1Wf6pvlvHTTd9mz8FBy+H+B5n7noXS9E3gdcbRrD6+Pw586L75orbrrvtrT+m7mp/X8OBNsECt9Hnvf5PdmU902y3ga4bjv+cwHhejK9Cr9u6NQWPYsp0RSyYauaUJoWlbTM1TnaDwg7EWlySi0qdKtGzDs0wiHbmTOdx1ROTh4m9NIAr6hQtqCnMirpUIl9RJniG0nP3SLzPbAhSkii2QGu8Al6CaUSONolAOYiJQlLsq2KLZOi/IrzyFLbLUyl6U+ndKMQKRxyFbBLRWQF1jq4fkHpQt44NJGHwMXNFeN+H+tFdC88hJdjdEFdCcaRpqU9ds4Ddo1HZmsmMiFL2jSegxM4OOcFLhq75xHWIZQS5bbxEknl1Ax3LGbi4ChBsH2B34qRIiKrJO1ojk9FM9kj1BHakbzZM9hZQyfVbBXnhJ0K4Zd0U4WYzWka8CuHwczDE4ZhWBJFAuH7COVjdAJ1Q+88Imss2q/xY0ncatC+wp/vkFiJ9hKmsqbMY0wdY7ouLaPw5hIZ1phKU1WWiwyKYoauJLZx0VVAUwV0DwoiW6JMxeuwZioqElmyt+NRtGsav0T2LNlAwU5MnDmEZUqTZ5zqAcoqXDtnv9Ml0ZZJ00CgcYoGmc3wvS5+meNEU9JJC187CJkyqUfkhSRLe0wJsYHGHeR0sgiakrAY4wQDfKtxaTACpPSJQp8wnSFUjdppEEGKlS513aFfGOIcTObBRU3lG84GERqwsiJsl2R+jBCg5obQWkTqYFSbsPRoVMm5MNSqwmqFGfv4rQJhak53Krplh8D3qKUii0rqypIMt9lp5xhhucj7+J6DVIKR2SPPKkrHknUVXbfGkwad+jiVj1NIvLmm9Ct0RyCHBUXlI6QgbkqoBapQ2JmHqTyQDo5fURU+ugFHJhjfwUiHcDyl8udMVY5uA0mDLBRHsYsyHsYaxDBCqhxrUpLaZ5cST2T4SjILfUpXIeSUdmMQFhzPoa4VetJD6oQqMNQeRDrBERbhaNoTjUuCZ2sQEW4LnKDAO4lo4oomaFB5gyMsjpD4TYlXBqhSITpzythSuJaupwkpsGaMX8wotKAyiiDxwTEYv6TlejjUKKvJ/JImmBP6FZMIfFfSMoqJ8PGkwbUlShoq4eAYTWNKclFzoSCaB8jaR8QtOlqhGsVFoyhqFyktUw+cJKVWgnFo2O0p/EbRkQ7CSSk1zCnZmuVUWDJX0Bm38ATglTiORDUG75WimldUwkPmPSaZQ+RX9OyceeiQOB7a+nSTLhEhlQox4xoKB2MLZF6gZAOqRT1zaJqSsD9hlAZUNkBupQSuwPNrXDmkkgbhVoRKkgQNthG0Lzo4SYMVFYnWyMIiG8F520NagWkUrVxS5j5aV3S6GRV95lIxEBdMwhZzP2K/jolyBcanrEaISiJrj7lT4isPT/rYoiFTijKAYBIi+oImgnoYIFWDuw0zX1B4BdqpcXxD7NXgFKBbiBDcbUscVqRRRW0bZnkPpRyCdoFuCbKqQLweEnnbuE2N1CnpoAU6pz1Lueg5VKGhKGraQxdZukjt4tcpfmoIdIdyR1P7Gq0y3Is+Jm0okop6q8ZvecRFmwZLp4JgXtOeS6QsqcqUc89gxMIDojHg6pquyohmDroSCGqoHeoakkajCkHaCLIMmlBjmwJVlGxNU6pGM50HhE6NcAXW9hFuhSsq6pmhJVwiKXHqEm0HeJ5lr5NTZR66tJiiRsQjnKCir6E6nVLVBrEf4544CGM5TArO/A6iZdG2gDKnxCUp7yHrAZHyiAcJnDSYpiEKawwTCm2oC0VRNOBrBm5BZSoqDaN2TBnkeFVJaDqUXk3VqkCUJNUUnSniuk0pZiBK9itB1K3QnmF4LvG2DU6gkTZgK9QoJbiY28V8eCbpFVNaBzVurBifh1gR4uIxrkbUiYtpAk6jhNnMRec+u01BnQW8mkX43RCbWXSS0cQVYV4TZj+NQbue/ubd92AzIHiXQrf6ubx+9fOm9K6F5LvyfNciemk1sOn4JiVhXclYV8puA2w/qQM/VVLW77sNwmyS9X3h1s9J76OArMt5U79thoQ/fzvx9wZiFqy4ud1Wv69bgWzK9y25L/8Je71D3zUUuRJ08SHENcFa2hYt4QkLax57+W+TMrgsewm97NIiadmea22y/HqVFwLsJXC6hF92eY+1b1mmXNdxtR6L8WqtuUZpUrLKYYQA5zJYNtairbkK7i/s0iVMXIbtWtR9cUxeuyVewq7VWEybAoWvfrd2Yd2z/L4APst6XMMTKa/jaC0Dvy/7611w4N3P06I+1l6OCXMZAB2BUJeuRUZg9ML6Sq8E9xbi2lpISvGWVc96uZugx00AeTW91aeXddamwZjLOVBIHGcRkN9ojTVvj0G4tkZbnfc2tcvqs7Rs+3WZrsDh8v+rcbP4WA0cvg6mVsu5CUK9L5R6H1By05z+cwDSpt/M9bL+r5yz19O7XhCtynCTK9ymQOG3pVUruPVneHV8bCrrNvk3Hd80L9yUbnz5sDbPvk9e75PSOxnePCCct5jOO2TSIEXNXXXGkIxjO+OF85Iw2KbT8jg5eYbxG1TbwX39L8hehn58xvnvO5S1JtVjfntyh7rKmYqCe+EZF+zzMvuIovwPPL/Pnd5jvlcjhBGE1qN9fJe4O2Nw5xXT0sOtPGJleCIsSb+g+mJM68cRRVjzbMchd3L28oLfHJ/g7nZJnJA3jcMjlaCsIK8djDdGIylGfdQ9Fxt6FI7DMLxHmMH9Fx5+50tKmXNadnh5pyROSnb/bLi/32LilHzdfU5z9inKCwkfSeLnpwSeofjXbbx/i3FmCm9nG3k6ookKjr+o8f5N4JaG8l/PiLwBturxagT9nRPcsqSc/pqWsFRRxZdfNOz+zrI3rLl7/Jr0LlR9wf1nPqcvz5nOT7nrhhycdihmDv/9Nzl3vIi2E9D2IoqsocobPnwWMt2pqLoFURyxtVXTciyD5DNeZi85d4YcdQxlMsBJ9qge1uxPHbbGLupDQ+1Z0tySnltMdoqqz0nqhyTWIfddDr5wCcdT5MWc73xFoxKUa3lwv4dz6fJu7liSnQ7ZTo/D7zqE5QmyPuF/TD/Er07pVa853Po1M1x+wFINDP5kjHMxoROHhO0Z0f4Jp+lv6EpLT15wXBxTskftf8C8FbDXnxJvpewcHeIUZ4QcU//DAaat0Z7DHIurXHZjDzE2VP2K5F4OzRiqCNI29zKFyCSTwmKOU7JtycVH2wxepfgqo3U4JfM/xp0q9AuHflWi8cj8HbZLwcw0/IjBGdRQSHju0LkzgV7Dsw9Lfn1yl0iG6LrgtFuRThX5d3eofvMDTQBvXn/M/cEEKSTPZ3exyQWNU5OGEYetI2Jb8WbcpzfdJkh91AvNq19OKAcZ2z+cU5c9hPQZ+COsbmMzB3PRR8Y+Tssi4yn58ANsEdLv/RUR9dCuoFs957wqmQcW+4Fg50mJO7d8+4+HDOoOrVTS/raFqo+o7Yii3aUSCcad4/uSJvLIMNjZBTuZYAeB2K4xkwOa8R5l73uKXUkdWAblMb5nkJHh4E2IEGNQMOs9xmmnOF6GzO7jdaaIzgTnZI7XNES6xp3lRFmAqmqcfxiR9iISEXPPqREmB7/Bn85JVZtadlHjNm07J3JSgkEbmgZbVLzc1hh/SsupeLUj2VYOj7RkWMVIGmJZoo0PxqKl5kw3ZBiGUhKPWuB0Mf1dPr6wzIC/+oK49JBCUQQ+/vyM3HN50+rTP3AJjGJgfIx2ybTkOEywxRxUQaVO6R49wLOSaifB9jo4c4i+cjn1p6QBOEWPo2abljtli6953QuZaw9Syc7LbVqNJd32UEcVXl2hukOirCKsHaTcpU6gUgXR3ZL8RcRs4nA2OKYdtAmkpOUc4UaC0JX4rs+roKZOYP9PPtpX5FHDSTHjIC1xG8GzukNoM8LSsjU0vMpiUqnY/7jmTWAY5pqt5JxhK2XstvhXIamtpNABJi9ozXo4Zcib/hkt2cOnj8nPmLsuWRseXQRYDyopkD90cB+Oce8njOcK7U1Qckq4Zwh8TU/XnBgFHYnoCuK8ZGQrmtpw3OzR7+d090cEIiD7YYr74xnBzhbS1lhShvsZnVnC9mjOk8d7NG6N0Dm9Vx2M9ah9hZ8/Q+UtjNxj+sUZucypqgzv5S/Ip5aLMsX55JRB5HLfi9iuBGbuYCeS3tjDtymFmvPCWFxP0m65qMKhU874wLyCoUOpHRyhcQoHyoap6zGfNdSmwWjNXGUoVdH2LnjwDM51xJfVFl17gpU+iTikH35HJDMmF7AzCOgqSaRnTPgEP2z45OG3DP/6mPk84EKc4Oy8Iu5KetLy5EfN1Iso//d91H+T9LOC/zwe84e9gNRxmNscbz6iSAIy/SHdYJdW2KXfH8KbBF0W7B8oxqcXFHpK2VjeTCzG8egFBXlVMMXh++3H7IkjurZiYD6liJ5R96YEymH+4pxynPGZ+i0n+jnT5pRfqQ5lW5O0XE7+3bLtQisQKBlyGEA7hJN7Ff5Th/ZpyMfOK9yBT6NCfngV06FLLFyOZk9oqT5+0OHPwSnBZIt22uaTIufHaY9vL3bZ2XPQ8xw9HtI6LNlLBNun74ZSP2v3vZsWg6uL1U3K03p61/l1BXy1jKvrxdIaxYL56UL2th2nrg+uWmVc6fVLg4ertA6c3vX2e6norisxP3dh+3Ouv8mC4u9dTN8k/039tn7uputuGxe3KSY3nVveexUnRywCby8BkbZL17kVJrRBnlXlaX0MbpJjte/F6vHFyYVrnwAp5NJA6JJWiOu/WRIMrmIrmRvcOm+S6TZotrh2GYH7sp5y4eK2epcxhqqqrsaS47zNrDdaGojrsS7FwqpGAFJJlk+gtgt7GykuYxeJlV3wrpDe8pkTCzMrIVYA30/L1VqvPWPXyu0SdKzftwoEhHgb2K1aVWxSnm8CLxvbZLUuK8cd53JnvdUxI66BzapivrpL4mo5m8u6Sa5rC7dlnm/PY+aqDVafm2X7LGKOLQKgK+VcAU+t346xtepqtw7Llml9R7pNsl75wMJbHHS9jpvyuenYbXP3+4Copezw02fqJuux9fqvnlufV95XhtuuWQfpP/fe9TyWaZML9KZ6rZ971zNy44uDlbI2vSBanrsJPK0/o5vmx03z5k1AatP50Wh0q+y3pbuDT/HqKa6ZcfyFIhA7hHqLWedb1KsG57li+vgeW5lif6LJqhfMdiDZ8/j8YoeLdsnrrZTPnrQwtkvm9bjY/h45dPBfRuwcvkEQoesB2r5iXrYZ5Qd4d59juh661+efft9hWlV8583pPQoxLUERGux/H9KvBffDgOPilGp7C/3pFyThN3QvKh7/1ePJ//oBjdQEx6e0zw8RgUt1twYbE/gJ/cEz6ipjnrR5ffqYrbsaVzrYaYv7f/13HDMlPxD8rmxw/YB/3t/nOM8YZTkvz8Z8Vjyg5yi83RGv6i7as+wcDplN95DzkJ0jh3xvQhmmpIzx4xDh+pQiJp91MBkE0zPuZQMoIv4jafH5J0/ZCgvqHz/EFgV5mPDkv7wk/2YXPezitQaU0wy3rPitb3C2TsnDkv9ftk9XnhOQMk9DtqOCrrTsvtmifqjIdiXfuhA8m+CcZuS02dt26YSKs6cOk0cZ6YFFiM85SM7plTOeHW5TNpamsJjXCmQObok/sERejCdazI46HBZj7ugZdu+Ql57DiVL885nETebYcsrXv3nBTuByIELi5yGCBCESimcfkB1okkcFs3rMPJckieL+UYLcCRB3I+6fetRdTbJj4Kt/pNyRFA8rPnjzmgvaPHV3+aA+Z2AqtoxGjT+lsYbCmXH6+BltXXAw13x7/w7zWlEMNdHJDq2Bpftpzitb05cNn8qCr9KCsHF5pDvkp3OGUvO8Y/jsxFKHHi8fdthXDdIIytKhV+QYqUkjzZ1vIXU8vvmozyfPe/QKTUuOOElSlPW5493lx19UZC2LaCwHL14TiQrvQYib1djEpXgzILk/YuqVPJlbuoFPoNtE5x8Qq2OISkb3WnxwMSQwhtHeNu0nQ5xpTiU0Rf8OMozYDhqe9qBwJJ8NfepZn8ZI6sNjHDvA0OLYSu5NhrSaOa/uzHiddJhpl3h7woeVYZAJZs9ixg8MSU+Svz6kPfiRIJ5QNL+lqkbIJuMTMaByNLnTcCLHOIEhcCz3xho5DyHzKUWFH+0jwi7P9v7K3VcFe2ealx/eIXMtpWNxXcHeNGJn5iP8c/JWn7TV4VnwFUrUuAjq7D77R5r945o3O9tElaVT1CAqGjOm1hN+8D7B36tpH2SMGpcuJbsmw/8mxMicJppTt2EU+pxFIY+mMcZpKMKC/vQOmdNwESZkoo1fJMTpOS+2O+imhZp1+Ei9oJGWkQzg+310O6d+eIzz1we0s4bdZkQRjqmiDln3MaN7T+gkJY+/V6gdRR1aEr/Gz3ukmcvrqSI/aGj7OR+KC6ZeG0Wb7WqX7+0bRGP4IOlxcd7F+pbOoxmVZ9FC01QVCWM0Ask2O3VBVSn+MtvC94d4FbRe7RN++hShGqpv7oN2qFzNxd6QzwZt2sLj/NxjvFPhqJJfvZnw8mHK3Pdwnv+W+3tDOs6M+odTpOiCiSnLXV4FFWOnRuuKoHVKEGRshSHHWpE3lsfTKaN2RuVXHDYOTLYp5x2+mcd49yrUVsMUw/YoIC4Eyb1viH88JD7u0dt5xYkOmBqXD7wJSRpSNCH9T2KS8YR8OuWOvOAi2OLcHzDseNjhGDkbs/W4YjaUzIeSMJzT7QzoRB3OXv+ZKm9ocol+uoXZT+DejHvuFslpzPgoxvZ2LoPLa/qvJfN7Rww/ekF1cpe9wHA/Kkl+3yB2Le5ji/vvGtEWiEMHNzWkUcGkk7H93zQzvcVR65B6+CWVE5JHdwlx8Ioaf55z/ss2opjiv3kF2sHRIUHdZb99SmMDJsUdtusXzPyc7/s1n00e0akdQl0gRcLUlLxoch7t9zAhnPoJ7b7Gy8F/6hCYHgZJpkrKrCCXmlEE1aM9tIrQFwEP04bAS8gevMR6WwjHxXcNzjcVvvbof3SX6jRhOp/zl+kRvyjv4TQd/mQDPns8xg8yfnw1ZztVtERAa+cOz2evqW3CJ/sONn4AKsJPT5h7BaVjqN0O7WMHpxCM9mtazQWm1Hz95jOC9gnt7oxfPRZoKmrTMMsEg1cOwdjjwj/g+O4ZWWvGp78PeS0eMPQ7yF/9Cf1MwFDifiK4e1bRnlt+9+AOdj5DVSm7n0p0/oBmvkvz4xH7oc92GJCYmnk7Ju2EeHeO2flxRu9Vwdf/y6c4T4/wv3/F12V26zrpb7aU+lsXeevX3PTmeL2c9fwWf7y/vO8CKqvXWGuvOMGqe9FNisYmBeG2hfr6+U2y/RyYdNNC/O/N933KXc9/9fgmpesmRWw9303WEOvfN70dXx5fKvVKSpRUdKMQay1lXZEW5aWFyua6bPr7tuuu+pils9PVSaxcuuRdAyArWMBUe2kZtYQjl2BqvZyb2nA9aPV6um6fpXRcwS/BSrlic72WkGFTvtcXGuwlfrKYSxpjMdgrILM4cm2RZVgEkBLWXLWVuQxktLC8AmEv22ulj9eV2rdlvnZz2wSk1u9b797V5/QmqHDTc7Yui7iCK6sdarD2Ggralf7YpAjfBAhuHX8/Ocdb7bbp/PL42zGdFvLLS3C5kNFgjL2ET29DqU0AdxWAWWvfemFxG5BeNttNbraboNJq/Zb12FTf2/K7aS5ZL/NdAOamc6vQ8+fMyzfNl+u/oev53ZbnpnTT78f7yPdzy3if+99V57+1vPe95rb+/VuTbMUYUmrR0J1rfJXgC8nFqEVHlQwOG7RMabkQxZr6IkBlEiYuTVFhvRJZlDhSQKXQc4lxLEo3BP2cXBqEU0IwRV1EGALKtsbLe4RKEjqSepBRGEml2sh5jqwcnDKgMTG1rpiWObOOpQlrRDalX3tElU/ut0AWGKcmiS0iF4SyolONmY8KTKvC9GBeBSTGUvsnhHkfBUyaMbYS2KpFMW6zg0ZiKPUc6gBZesjMx3d9hKs5rxt0FqErl4u5oZjVOKUhbgcIk+NmFie/i6cLZGhRLchcg/UUPR2jKoWmIbwzXlhGGI+trOGsrUi6Ie2mTa1aNEFEue1TNwlCluQ7JWFYYaXGJgrHA9e11MpHaQfHwOmewoSWRjeEY0U99alKidOSiEqitUNp+viphzOsGDdzMmNQMgDdQiYJzixnkChUUGBFzfg8QvsljVPijXKMk5IFBYVbkxcam1my2RypCkynZDDzkYnHyHqMx5pO7NBpt0m1ZZYYpqeGqs4QRhFrn3qnBXGM1R1EOMNzBbHxyPfmiHYIeJDH+E3AAIHa1YjaoFJBs1PjWMPAWFpeh7Dp0PUUXglKS3B8KuETUuDrlK2pR8sT2C6ELjiNIksCstYUrWpayjC1DjUOWkbYylJbwVQ6BKlBCE0pBaascWpFf64J0wKkZLIXkbc0UkvGImMucopG4RRdTG4RGPxUMnV8Ctchry5jUDqCqNWiq12iyiVIc7KOSykEVWUZ1hlBo7HTbWStcaShafu0ghApfexsDmGAsKDTlHnQJvcCGi9ggMYxGTKRFLkE7SM9gycUvvYojUtWWrzKMonnJI0iT13KqKTtClyrCKZzJpWmtIpsu6KZOejCpbXr0YiGBrCTLtbT0K/xZ4bG0dSeJtAVhpBURDCJoZ9BWBAWXaSAOixwK0lqYagMUrk42sHRCkRK3ZZMtCItPKTKCTo56TTAVQo3tHTiDKVq1LQgcALQEVntY6opUhQIW6Mih9BCVwgCL6WxDnXZovJn5E5NLkv8NCTIDUFqCbcaSlthKPCLCN8p0UHCeQ+ayILbIPsJhA11lVNLg8UQTGr6/QCnUYxaltht0MpSKweCBqEV2yJk6As8aXEmPfwtC05J4Q6RTo5bG/zSIPsFRkpkagmaBu00VDIlFAVaCBBj0ixA5w67KZSBg/Ih7gocXyCVxeuXqGyKVg3Sa3DUBGMCwvkBTTtHOSVynhHmDdoVVL0TbFOgq4o88shVSqULmhxmyqFyLGE5wqAWlmkmoFcnRLokj3qEAlq1RIgIJ2qQcsYgUxS2otGG3czDsSm121Cn22SuRQ8mFP2cspH4WuKLkKlomNVTGlNhJAivRRnMyKUks4bi2NIqDbExOHmFNBLpKeK2xGqX8TgkH+3guClBXJDs1gurpHNBFYY4qaCncwpxQqIiUtliez9FtzW58eiIhlDWKDdj1nOIXE0nbUjchjq06Bg6ukVSSYanDl7QofRiVEch0x5CuehI4LkjaGmy2OKFLp6yRL0WJnMxxsVYSdB1yStL2kxQ/3/i/qtLkhxL0AQ/EOHKjZtzEix5ZlWz6Z6H/eF7ZnfI6eqp6qqkQZ0T46ZUuAiAfXA3D3UNNeKRNWdvnHBTVQEuLohAcD8BUQVF5BBJh8VUoiwkwGnXp5KGrm1Z1CEKw8hvSJ3AKEHYt0xaRWMltYOOaoiUIU40ViukcYTFDK0tBA2ODs4MUI0mPE0xucE4STm34OW4pKEt90hbjSdKvHjO3KSosqbwKoi3QXY474LzAwRwGsV4WYU2Na3QyLKHhyDzHXIhkRVMZuCh8RDEOwUDL6avNZwW2FbTAOeDDq7RdGvwb01JZInMHap1+CYldoa+0pz7jnkIddDSGA9yiW0XGGlwvo8Ke9RWUjUZQZLi+Q7lCarAocyC7iTFSUcjDPOtho6EXEjOxU/91FX5u5bvXTVTY1UuG7yvDviXB+/rTgT6kN6H3Wc+TDe5dEB+vdN3AaGW9gK6cFwvARfXwZDLwq2mfVMYsnpt1RG7Ti4r/0+tt8sd3PX7wnyqXKUf+Kh8r3KUpHw328ZTmiQI+MWtfRpjOEvnvDw9wzYO29q1js5l5XwVKLr4bsXFDKD3ThTvl+PxoZliHVwskpOO9xudv2tq6mL52cX+RFc4TT9u6i0vnRm4DMxwDvF+iZx1vF9u+PEm38vLpYwxP5ktcTFD5MPvzsH7hXjv9oh6t8ZbOPv+VMH3236//yx4f8KfuwBY76R9R1De2WAcF8vwfkzj43z95B5yfDi58Kqw8PEG2Vf1Metk9Z5Zd69fgB33AQa+W+7orPgJanH8uMxweYblj62FD9fg3aykn/RDHwj6Uh5+/OlSaLHc9peh1HI4IQRYgXHuwybmFzasgqiLZX/L/eBFO1p18n8KQZagolj/bFiNv/r54v9VMHWTfvNysPdTu696gXJV+Ktm+Vwmq+mtA12XyWXgap3+y55Rl/X/V8k6sLWa71X964Dzavtajn9d+lfVw02ee+vk7wVU3k5EE/i0WnL7fzpkMMMkC9zJXZJ7NbtfZdhnR/QSQbLtMZ9uQKZxpaQUBUY2aL9BSYNrCvT8nGAcEm/W9G/POMktjW+xUcP+69t4XR+xL+H7+/TnDffSlIMHcxZRgtZDkv97jGpDkmiDiRFkasZUz2juC5zOEOUTHr++gxYJ6TChZ1+QyprDLY1sauIi59b5G56/cDR9n3S7z5sqoKTA9p8SjX8LjaPgiNYo2qrH6dsH3BmAZMzi5F/RzS8Isz7eVCN2CzIv4+vc495JH192eO0P0QffEqqC7LNNhqc5fhpSZr/Gn77C7y4QnzdMehbpB+we3qK2Yxp/xt4XcybpkHQeMCTlYDsmHQb8YbqJSDqMex7ZXYNt5rTzc2YPcmThcIUH2hL2BXHHwwYj1AGIzPL0QUPdFKis4Yvvfd6YHgvhcdersPOWRa1Y6A02j4fERxVn7UsW3ZCmF5EMQ4qjU+zxMZ81gqBjsK3gz6cjKjWllFO2ygK5JZgmmpe6R3soEG8bJuFL8jtQ7ml+98NtDtuYJzagPFvw6HbM403NCwvTo5rFYc2WM3QiRdzzSP/LHnXaxZ52sP0SH4POJPmdQ4TcQNsd8rMufqG54yC9L6CRqArmjwtGpuHuImW7cw/XRhSE9GZ/wkiF0gNKT6BkTWJSuodDTKyZxTHbrqbOAk5ejsh+dYYKYMMoXqsAI2Mi1aFedKmtZCENo8MW6QRt2cdVC0JRcutojl/mZP2Y53d2kBaELThpDmgyC2UHYfYpS4lfS4KXXQ6+coyVZmxCbgmfyPPZiu6yfWQIFy0in3HWi5k7H3eU8rqu8BvLnROPNpKIrsJudImCPqqWmKdzQi9GBRpzcMrxV0MmWyGIEN9U9KuUKK3Jqg1y0SHw3zBQDiUlh23IdAxV0fLi4RFiEiPGMWxlSAPJXNN7fowzIfNAM3uwoHkzQhzG3B3UTE1NDqije9hHZ9j9Mb3KcNzNmPYt++WCVm8wju4QvjI4laF7OZuTe7j+mHQ4Ifm+z7hjeOOn3HU9/MpH5ZpWPqPq91hsbND8SSEGDW5vwdE3HTY6Hjsjyb3BEem5Y3Eg2OrsUZYJk9wndieEbUVUGuxGQIwkESA7J3jFDt10j9PtP5HJkqa17E89gsKgG8HAVCxEQ6pz5HiPwE8JwynHdx2VljgpCR8c01jDuGkQM9DTlvBgxl6/zzx2PLnVsKPOEUKSioRAT+nQcK+M8AMPWQTogwHd/jG1TknbQ8JQEAiQvqMeWGg0/kkXGziE39D2MkaNBgl1kPFs/AAxC/jFouZwIKEruHfPkAY+Vhq6n5/jDsbYtmE06rLQKXkW0p/u0hmmSH+KKiZ0ixAvcaSbXyNfdKmLgJN7CSccktUZdTFBDzaIPM3W7A2n5isKs4XWJfvVDGdKnm3fYTuTdKuSSuwSRq+R8RkPioLXQLqQfDHucz4aM+vWyKN/ZNZ9TrV9iIssu1KyaRXidIui85qxOuJFpRn5ewz8EYtkSl47qqyg+cHR61fcHtbks5JcgepLtpI+p2chx0cB3sljwq1Dko1Dii8heSbpfudzsrvJZjvnlj7jbWfG3N9j4t3ly7un6MbRzDd5ZFK6tsKn5PTzmK2i4fa04CDymYY1M1Wx303IDmPOnnXwHt7C70I/qRGnD6lkierOUMlbSg8WfsiGEQxCxWZvQPU2YQ6chC0iGdAs5hznzzn1BSLqIMItTq0A27AvS15vBcjQcB/F9y9j4qLlN57ibWCxvkPfMrxsFU0jCXPLCEEYCaJNw/HCp50ZoqNnBJ9LRC9Cu12q6SYmlcgjQV5rUA59kGE+m1IqDy//DdPmGUqeE+1POTy3tAbkpsKvNpGqx/OdQ4bKR7mYZ8Uu0euvCRdzhvt32JyM8GqfF8k5o8KgG8fZS5+kE9AblAz+cMSt8R36413Mvy3IbM48gMN/uE9qFV1dcuvW/0VvZuhMBbXSdO0ZHQdbckgZtpzHNYoJyA2kSHDZS9BDRLQJdkQtUnLviOT+KZQtbeto7reEP6QEzyvq8T2mdyT5F47PvJpXWnPm964dJ/2s5XuXOXvr3rauXluFT6sw4zJwtKrz2hkcK+kuh1k36BZC4N7vvOwAZ3/csPgq52hV96oTf9nA+kLH3/Pm91PjX6bvUwboNwFCa8t2CQKsK4t1aVyl/7L24HkeSim01hhr8aQk9jz+4bPHWOGYFhlP3x6TFSVlVb2LJ8RHS++WZd2S1Av5+LeLdntZeYgf9wR/364+bLS97BC+V2LfJfBRWuvqfxkCLIO71XL5MZ/r8vjxvXgBH5ad++Vyv5iVdWk9ifcn7IkfIdS7U97ew7MPAGUJqnwowSXw+L5sltvO6v10AcmW4fRqW1sGPEJ8vFxueYbZZW36Av6t3s/Ldryriw8l+uHzBQD7COR9SG8ZZMG70+7en6Aof9o/Ltv5ka0fZhddzP57D9mXgyyV1zoAcGHnT/r2CyVL9/CqDRftb/lUvuV02rb9AKaWZ9+tK/vlPC9fu2p/rcvsWmfnRdrL7Xudzo/r6ef10atpL7eFC7npM+uyazftw2+ah6uewdeldZndN3lpctlYYp1dq9evg3MX4df1HZ/yDHTOMZvNrg13mQw3t9jZ99jY1vzl/8wxNkTomGYjYCBzNl3KVrogCzaZx3vcHhS8Pct5epgTbt/FJmfY+A0jf5ehKxmaOX+2t/CKkF7u0b99yLR0HEwVybhkoxext90j/z4gjipGOylnY8V523LgKv5DsEHZiXm50cH8oGi8jGrrDLPT0C8t904ExZsNhOgQ9PqYL2sWxYSDJ8/4w50+wutxWm/TO64JRUncmfHPZyMWkYXHc/7zNzmh13D2Rc3rJ1uownJHHXPW0+jGsH+c4321xzQQ/NvsHN/uINsQMZcY/4iOKfn1TGH7FXXHY7K1wzAZowmoJ78n91tcaen/4PCGM2zHcD7sc/TNK0Q54x9/lfEklORVwK2/7hJ1zmnihr8Mh2z2BV3nGD6pOPI3mRIyO5ogexYXNVT+MWraQVuP6MsZ956FdOaKr79a0Ak6eDri2CnMGw95prg1N8hHE8xuzav2V4TPUrzjgknYQQ+P0d0UI/+A65d4/oJ/+B8vObIbnPhdxO9fMpj16Y27uKNjOnf7eHt9/q9vCsxohjec8w95QC4rMlmxPfU5SG/xOt3HtnNUfIrunqKHin0dcZsY+b1AugKhcpx/j1yHZF6AF3h0dU3fK3mVK2rVweoBqnRE2zXJ3ZzZ8wFbouBhPCdNHpO4iu12wq0vP8eGgkwV/J/ptzSTgvCw4Y9ZySAU/HKgyBYeVvkQRxxsDAFLXKScuVO8eYfN1/eJfvOaNCh4XTQI/SsS2bAtnnP8r44mjFG/3eHeX19ipebowR1aL0KkAu+JJb/3PaGU3D59QNdN0Z0W8VjSLLZIG4+3bYOXvMXpnFxYvsARZI6zpw3nD/s0Xgf1dhfRGBrTMG7nfOUOGQQF9nZI+Hqfxia8+HWNbQ2Ra/mFznkperS1xy9fFXw3ajnvGGSnwnm7+ETcr+YcP+szLzTmvxzRKzOCuaP48x7njUfut3R++y2VGNCIAE9PuFPvs9V26MkXfF9vcFZ3+e3Yku2F5CNFXh2xK2r6CA7r+6RDQdVp0e0bRm1D1xoK1UPNDDK11KHFxR428ihKQRM32MgQHYb0FpZOaSh+mVG4hLJJcCpDigBFyFbW0viKMvDonG6Rc04mjtg9GOGPWvRuhckSvDLGq2L+2B1TyhTr5kRehJsOcKcb7PziL3TSlu6R5qxzm2nscdYVdE4DfK8l6FaEQYtuA3SZ8DSY0MHnvu1zFn9HVeVU05Z748+IWh8tHPb2KWcLwXc/RHz21YhWKo5mFv/ON3QXjr2vR5w/mmJ8H11tUe0e0lpJOdmiPzjBswF6cp/+8StKDc/3d3hgXuA3gqK4jTduaGTDdDtjEUSIoGI4eIV78QUy7xDrlrPdY5Rf8SD3eOUtqPHYqh9zVvkYUbDZ/4bjxSNc2uXRkSW962ijnPDke/zdx1RhzF8mrxGmQ6Iifr2RUIiWtCn4/uAJd4Z9kijgtWrY0dskMmDeHrI1dkSp5qzcoNmfUvYLDtqA4Yua8BzmvTt0vJaOX7Hbf8nbsMvM99k15xyWIbMiYu9wF9keIc0ZkSgQboNaJvxr9xv2cs1WFnE0fQj+FBvOONqHnTeCjRN4+l8zhm1Nv6h5cVhR9nqY3oAHL+8z9ReMoxnd0KEnPuLc5yhvcZsSuSl5+K81VNACp19ZRHeCTs6RwTaGisZmHJxptuYh9xcxi1++ZJx1OTrcwTvoImwK8ozk8SmVFCwanwff3iIfLDj6/C1CjxjMBLcOWn6wezQmQLWaNvkzto5g9oBffH5EWs/4/uCMz2uFQlJKRbL9GK9t8U/fIpWhji3zzRb/xR1knaBUyERCMbBkjxoefJfguZT81vfkL7ZRvmP41Slvn0TkM486C7n3VQdf+aRvfHT/FY0znJ1v8ethSj+oqVVD3Wxjgw7c65G0R+Rmxr82p/zitENnkTCe7hJYRd2p+OH3PzBkB2k0p4tDeDpCVAHqq4x784DASb6/U/LlYc2w8Djc/gL34jvM5JSZHyK+2CDo+Nz+7284bVtSERDHv2NMTh1k3P3DKfMXNfkY6r1N+r4jomX+as5gtyUZWkwr0f4Wzg149T8jSt9gk5o7D55hQ0mrJCfnNV3PMfAVt7195EmFOa/5vrtJpyfody2JGvPmPOX1eUb2Q3nlOOnGM6Uuc8o/5a3jVYPt6wal6+SqOJcNVC8b1Du3NLVg5fo6KHWdLavO3XVvei+DXNfZ/e8hnzowX5XrnILVMlyNe5M0VsOuS3PdW3ZjLUVd8/r8HCEEZVvTtObHulx5e74Out2oLX7453Kb7QcH/5K8Ovcj1bpBOa/au66Ml2HOO3axbunaT6HAVVDq4vvHswIvlAqWl199hJvcBez9MfiPtrifzOxZLc5VG1c3Yl6V5dk/7mJz9/elIMRP9527TK6D7D8urVtug7wHTZffGxcg6sPJhh+WVL7bC+qye+bCpo/qefk/e9Gfvavr5aV/q2Dvsnxe3A/ufWYug0HL8Zbby7Jc7Dm1CtmWl59eBYSugk6rYVc/X9XXXlWv1z2b1oW7zrZ1129Ut1f0P5/yQuEmsu6ZvgzuVtO9CQz6Oc/2dXp+zrULucyGq57py3X87/G8tU1NllqEZyidRliLbnPwWiqvYi4bhiJ4d9LXokTrFF84wkFEu2lx6t394hufxjOcRxqTx/jWw8sEi/MA1zg2U01mJLlxTO0C14kRScis66jeTmmkw/Y1adih9UO08VCbGdY0mMKj07ZElUczC6h8H8/V+MUhJ4c9UuewgUOlGSr08XoS3/k44RjHPsY4RNUi0hLnaoyVmGwD/A5SV4SJoECD88m9CG+qMLqmVxTIXon1HJWyhE1E0gR4fosetXhdyzzJkAuJaxULVUIs0NIhbctCCWpf0XYg1g3SWWbVFpGYIuuGk7ZlN6/x2oqRy4i1REtHO81I4hgnJGeFjxMWUVsCv6b1Hc5XbGQeReUoG8eITVA+RktwC6KexHMei1YRuD6yNGi/phUGgyRy/rtNurG0gzPIA3QeoAYOWwmM0+zO+nRSSVTnzPs+qbW4cY6XCwjA+oJ5GiNjR5TUiL5HWDv6tiLdNPieIdAtQT8A5ZjZEnQH0BBqZEehtCVWBdWkJfMFlQgw2QIhLNIzJPsRQa/Fcw2ytwBbY2RN6s+Yu4oTMcMelni+oQ2mLDoW43mgI4RnMbVgcezhxQ2+MYipJRoUGONgblAxOKfIbchwFqJUTZnPORMVRtVIP0duanRQEZo586BDrRVZVOHpBm00YhAxTCWxsST1AhtENA7k1DL3DJlsYD5H6RxtLEnTJagXyNxh6j5q4sCr8ElRdUArBO3I4Dc9lBehw5LGCIrGUbsKpR2tg4OqR6Mtkoas08WrTkiqknzWow0CrKc4D+fMhCKXPowrBqZE1440EVTjFlPU1LWiCUqMrPDrAr0wqEZxvuVTZwqdOvxyjl00WOUzUTFg8anpiAmVCymcpFENuqqIasc4CPD8CtUxZGkXG0iskDQWTGlwTUXiNQQtJCnMSx+v8gkKjdsQCOEhXUQtDVQNflFg1DmwQNkWUwhs5XBti+d8as+x8DKiToOtAvJsm1jVWL+l6c9IDRgT0LoELxf0XIPGoNocJRxe5fBzg5OG1mvx9BzdRtgqBN/HLxXxRLMILZU0REIhxIBKQ90XEDYEwjAIHN58QJALmiCmCGpE4JOomNwAxtLDks46WBfiEeBrR+O3mDBHHDtEqahbhdcpkMLh0gFx0SAjhwgDGjfBqJKF10OJEA+H9TJs22Jaj6rwybDUvgM9pA0bvHaBFS2e1WAMU29IohTOWrpTgUkUIhAcUUAKpjKMfEuncIStozNweG6OawV2ljM2AVI7ajmhlJLWRgxPp1BJcqWpxDlD44ialnHQ4LKAcNojH+SERQdvkeAZjcwDZBWhVE7qJKn0GHQAr2UWVdQTgWcaPJOzoROCpKUZNDTSUqea6kxTB11CExHNQuZ6BjplIDNMMcAIEJ2C7vkMN/MQyifb0Bhb0IicOuyhlEM6jbRdamtYtBVbYkTXs9hwTrfwyHJoq4LNboVsc0yzIMhLWgU1NenonLZXoz1BJ6/wU4956tH3W2oPqriCLEAUIMtTzKTG9yS3hgn1kY+PZhD42J5EtA5ZKLKgoREGMQWVKExsmbo5gQQdOXxtSDwJrSPN+8haY1oYHw0oFjV1JTGij5o7fO1IpGChawpX0ZJRNhrlNHNXEwQVQhsaVdDMNG3VZ2QscR7imxC1odFSID3HbmpJSoVpfU5sBC7AeQqSEqRBGI1Z+AhRoqOCbueUWU9S2j42jPBlg6oLCgc1IU76JPEx1gQ0KiRMR5T5nLJpqHsxeCmqafCzmKbISeOGqIooCzC2YqNfM/cSyjDGqiFNLWmMpJMZHC0LZUm3oW0kZaXJNiRdXRGKkrEpcNZjw21cO076WVBq3cB62Vm9DiqsDng/BUyspnHVYPOquDeFPKv6buIg3DRPVzkx19l0Hdj6e98qXyaX5euy9C7L8/Lynuv0r6azrq1dQJIL/W3bIqWksYasafjT8xcoKdFSfaAdUr7fCP2S4+wvK4uf2gwXlGWdmh+d9ncXpXhvJx+34YsZRetkHZBalnWnPy7buzojZLnOVvOzPJPo45lAP85Mupjl8pNlg8C7Qwh+TPcDvHLv8vhjcst5+LEsPt7f6Kezei7+Xsw+Wt1vaf3sl4sZej8CICFuDkCXZfX+u5j9Iy+WK36kUnxk3wdNQiCkREqFMBfAZhkQfnxS3XJ5/AQCuSUo5dyHvZ/ce7CllPpJGa3eN5cB2Qtwa5fA0jpxztE0zYd0lk/au6wPuKi/ywD+criPSvQawL+azupv68Lc9Hlw1fV1tq4Lf5M++KbQ56p4nxr3pn3gOnD1KfquA1431XfZPXpZuOVy/5TyuUleb6QHx9ks5zBtgR1CMgIWpCqm7DtM37KZDvCOWnrjY0hTgtGQwe1tJrs5bVkhFjBKPWaJ4U0SYpsEv7B0FgXfzD02pOCxVHztuszMlDNzxHDrAWHisRgkmPYtRd/HPtzlbTMgLDySObR33tBOLO13HpujFpFGnJ8Nsbd9us2E4OwJZ0++IB0YeOjRPM3xO5qt2+8c/HkoeL4fYo5rvDpDTU9p/QgrBuSnD0iClijOCbeG1KcJlfEYj3z02xRRGXYQ+L+qKPs1L/05Wwe/o28TqtGUcO8lopvjeWO8r3s0C83xo5TtQBEoixenvOnFZD2f/Uhwy28QEl7lD7lTf0dSL/inqkY1hq285VezKTNCcl8wTjMGxTmeqED0IQOZQuQc1W8tehv2Xwz4tiiYWcF/kZ9xJAsWIiXKXtHreuhOzNPWp58NiDNNtHNKZiSNCNlpJPU4oFIat/0CcbwHkwHelw4/b4lSx/3v74N9TaOOqR7uMp3mpCcTomYPN/Ep04g3WYfNOy2jzQI17NMrBGo8580Dx9A5tlqN6A04JeebZoHQEcLXMIgJHgVs07BX5bTHNTPRZ56M2Gxfv1/C77P5aAvVKtzY4d87htJSTgRHgwNOXcFJuaD6620GriJMjjn9vcKoHmmyjW4PaactR8eCx19MCY1DnRvaO6cUuSZ72SH8XFN7iklHcudlh4Ft6DBmVhUY1VB3WsLfaaSuiSdnvAm/oggdJnjFjs3xOwnmy4fc+WNInOe45A1H3V/Q0MF/ZTi+fYRtZwwOTpCJR9j02H59B5rvKZ2l1o/ovXmNJ3OiwTFtvYcJFd2HDSrdxhhJRx8xtpasyXHNgqQbI2zEt69H7PaO6YYVZxu3CA9O8KaGbHELEYW0ccXz/TNqKXA6JH69wFcV2lMc3BP4WY6aFKSlj1VzpCuRqSY4b/Eqw3ebXcTUJzmzqPiY+ChBHnc5eHQXKyySin1OcE2Ptg0wriAqHVGpKGRAGwm82Cd9dp/azzGDnKiJEekZqk0Zbhi6zieoNFXWZWMcsDX2oDfDyIDWbvC8VHSyI3rZCWfbZ2ht6AuLMC2mqGBeEoke47DkVTLhkZ8TLUacHe9xa+8tpjsn3zvi7USQtiOm+i6Py7cM2oygzKgooNaIIqRZWBZdy2TXsGkbgirCzAy1v0G8CNk5jvmf/+EFLnGMSPBn26SewO3V+PGMRBo6WuA9v03tFJNdw3Qo6WifYT1kXId4leF+Kfmn6RZz5cOmRY9qvCDD7+XYJ456piiEofOrFC004vt99ppXyLBmHncYu7cshGbGVzxuB0Q6pIkmMBaQa8pUkwcnZLpl6t9mO3hFpFOalwFRE6B0wAvvFpWqCW3K7YmgCRWZhL8wITmFTt5w744jPBGoWrLvN5R6QdEa5KHioO+RxoZEH2PlPfwy4bc/vOTNIOZ8aHDugKD2CKzmW20ZnkQkpyNef6XYHwcM55qzKEXbEL/YJBAVL5zmjbb8Qnqc9yynQhDMG5QtUaLgdrVFM5hQjOZgPbKThOZlB/7bLhsniq1Dy/+x+T23vDn3vZIn002Mt0AlZ+wuzvDmGjmO+OG/DZhFMxZqwnZxF9MKqrbDZjvAmAVZO+NX/m8Q6oQ6esno8Baz2tC6A+4+nsHCkh069CzABAbRKRjfP0D7PrEKuXc+ZzqNeVps8Y9Jhh0azrcb3P/YgGwBPMUdD0k2fPYebvB/n0TEMub2Zp+T3hhaQ9BGfLtVI6aWvb+B+zwgDxuO2md8pgVdXxBokIMd8iwin9yiY2dUNbx+so+zJwihkXpAcHxKJ6jpbPscx7BoDJ6bMFvcYeZijmvLnc9foHsZJ5WgefVLgsWIh1EHvYAqhOY3DV3PJ6w1o1ce4sRn0SQ83dwHLMKvUEmGH3sERYj9ZgPRW6A6GbH/A+ONPYreLeROSG/6nHA6JbVdWjFAeZr41jO6s8+Q5Rb+eR+Rg7ALskGCZydENqXTPuBNOmYmU26ZLvXYQDnl0e/HePIxU3EHGyakY0sxtTxOW8Zpy6xtONiasSgc6VQh7wrw5vjqlJeNz6jd4Va9c+046cbL96IoehfhksHZOuB0aaI3CLMKnS4DWdc5jFelu+7t703ffK+Gv+q0v2U9636/DLBdJv9PQambOEKfWr83cSSumrGxatMFhLjq93fO8/t9joyhfe9QXywxWj5p7ELHMnRZPaVsnXzsqDh+hFI/zgC5bKnidU7pZVBzOe5F/GXnfzX+cttcrRPr3EcwbrnsjDE/2TdoOS/L+lbLUoh3S/d4PwsIId8vjXyXtjE/Ou1K6bX34I/bVf0Uav04A+v9LJt3Z/290/9+ZtK7TdxX762LWVU/LsdbrsNVGLYODq5CvWX7tPY+QIkPGGypCi/K9b2iD7Dnx/rkfZtdL5fBk49h049Lj5dnJl0FfVbbyrIsl4NzP+4NtRp+We9NoMi6fm+5TS3va7bu9Lx135fzuy6Ny8DKT08kvLpfvaw/W70Pr+rT192z63ReFeYyWbXnU2TV9nXA8DI7f46Ny/Jz7L0OHF8V5jrYuarj4tp0Ov1kOy8k+i8RgQDPwXzWR2gfqRSDJ4eMRjDYVRy7WzCTyLlg/CBmQMFmu+BbN6V1LdJY/jALEKWjLBx/aR+j2wXd9pjznV+z5c956L3m3/aGlLLEmTmyfIxqLLrKEXaXjaDhTneGOPIZp5LnC4XdGzJqPO5PJcVvv0UuMvxvGr75z1uYyNJpUu6cBSyMx7fSo28co6bibjHjz3mL1/f57PMh838eQ1aTaMuLLwWyE7OrtnmSOSwl2/EJR+HnhKnjix+ekc7ukHodDm6F/KP4nn5T0yyGiDsLyq7P2+Qh1ewHKuZkA8tvDjoo1+Of79znbu7oz6H3ncK6ZxSdgmf/uE35+hXeLONxHvKy6TETknJ0wq/iLUZtTPa1I0xytG/wiPlhK+I08ShaycarN0TTEisfUXRfY/2C4fx3nA2f0QZT/uP5bRafeVQDw/BfnvPC7nBuO4zqAwotMQpu2ZLjZou57fE5Kce25Vw7+FWXvfOMjbQi+8MmnbMaf1LyfXdG/0TRGfu88O9heh62qxAKdrtTdoIp1T+XpGKTMhzy5e1D5t6CM1lxdvYFLvdQDfz6v2Wcuglvyimt3eKulDyWkunpXfL4kKL3gsHBJokZkrgRE1MxKQrO85RHv84wSY883OL+ooCyoC5z3MOKxanP+fcdsgc+ncix7RumPCDIAwYzhZ5NEdEMtk447d0m8CI2VUDYm0Ktac+7JJMFVJKqjHgVRdS+Q0YNm0mKZ2pYVAzyOYs44Ltbu0SLmp4uubMxJdOCctYj/foRvWxKk8DJZz0+U68wLuVvTcm+jhDC58R02S4ndCvJMN3jxaNDrFdy50DgbfQo/IgnRHTFMVrmWGUZuDv4iw7NHy1p85qMgsOoi5ckJH7AYz8g28ghbtjREl33aazPi9AynUiYOx4eNbwKFpSy5FdpwYtOxrjT4O0pbFGgmpq7Xok6fYycjQjKp4ieoAl9vssfcP9Bymi75lU1Yu88Yphr8lszznse8xDs9BU7UchQRfC1h9ZThFdyFvyeUnsY5bjvvkd4DVZbZvU2px5MtKN/FJIMA5J+wMa3hqJzxqI/prQ9ZDZCFH1O747xPU2sfGpRoMgI7IJbZyUmtJRdx7kfIqYb6PNNzMMfqEtFNYsJe31iVdMlY3a2QVpGpFXMP2yOqaOa86DGVufE0w6Dkx06oyNSE3GU7zALa3q9jNvbYw5KjWpielWfo3ZMY3xcOyJ44GhkzaLMUQeSrpbc2tS8fg1RKri/kPzP3yny1uE9qdnfbcAJ5lOP/r5Elwp+8KjFd1SJYXZnm0X6isBW7GufIH6MEz55NSGOD5BeRetLzvJNRA23m0NKFaBUxDDaZfZdRj4RzJoNpAY7KCn+wyuUc0SV4M5JxOt+hzqAfXFKHYxwrSB+/Zr5/B552SdrHLfrgkTnTB6/YvPsDqFNmP76mPDtLiLzGe9+y2kgyYUiGIdsJiP6fofYas7OWopFw54Y87rXZ57E/D5oeFl5TK3j95uvOJ8PmBYBee8F1fEunPX4zfgJT/cNBzuC/cSnd9rDO43555OMu82YW3ZBHt1G+WOUmlC9HZJtzMmHGe34D5BbbF1y/NUblILA+STpQ2r5kso95da/RUxu+Zw8CPH/5R65hCJu+OyXfyRSA7x2j2xxAPkCWSwYjGIsLVXbkD/Zpx4Kqjstrw8OaY1BCMnv699gOobpaMbbPymCjZyNL6f0/nIXMQtoU8nT7g9UnR6i/5DfPvsWvy+ov+hzUMbU4wXu5Wv2zYi23+XswYjmyXe0xqPp3MHeXSBSgfom5peBQ/kLJvEb5vM9ytCS7x/Dq7s4pTH3C6SY4kxLkwvuBQYnO7zmITsnBiVa8u2S9sUbbK4w6itu33mJ7jlOOg8J/Sl+2pL8Oaayh5i4wTzuM/x+iLGCJ/94RtfXeLWHfdKniBtsUBL7b+gvFGGuCMY+1rWUoeHply2+aJGVR/38MzYxdKIK/5cHTA53WJyFTF69oUNFV1oe9CP07S1kEuP+ekq225KOBK8G+5h8CmlJ9+0ubqtC9UoeFIe0SZ8mjsmDU5rqARQ73PnhmBdRzKmv+Y9v/0IRtCw6jre/9Bi96jF6FQEzGGa0o4KXezHNeUB7GpA+eXHlOOnv2uh8nVw1GP85g9jL3lJe+lb/Ch03eRv+qU7AZemu0/P3OhufAqJ+jlz3pnzZhp+T1rpB/4XO1bJZdpbXXb9MzLIz/i7Rd84VP90k3Tn3fttvPux9tM6pvFlbvnqG13K8m76lX4UHV+lfdZyvW9q2Lp1lWQYDyzas3ncXIGc5PQcfNm7nAxgB3i9Lg4+Xb10AFS7Ak/sYFH7Iz4Xi97p+LPP3s68cCCk+OrntY3C4PBNpfbteLc/lsn/303t9gg/7kK13Zh0Xq/IuHOAP4MTaD0Dquj5r2Z4LPav3xnKay/m7kOVlcqvlslqvy3+XHfd1bewquaovWQVIl+V3Wc9Vfd8qiFoX7rq+7SZ5uir+cj+1/Hfdvb/8/efIz+mDrwPh6/Rddn98atqXySowvWn5XwWjPsW+dff9unHF3/PMWxaZSXzhkwgfl3s4pRBSETQSlQrcuUc2zPFlRCwjjMwoZM6MAnPSQdoCT+RMSkPkNH7ovVtilDnShcSGgjaR5JFG5RGJs/gOZnGNaBqC2QLV2cJpwyys6JDT+j7NRkw3SJEmYGoi8rMeYeXw1BntuaUJNDlDnHOE2rATFHjjESL3mWQNKq4II4GnCoKuwEqFFS1JLmjqlrGraZoaKxomdUC3s6BTKZQYEckK6ynCZMB4HlHUGmE7RGlF277bq8OJGOkblHLMKw9VGXqzY9pmg6rR6DhjKiRzX1EfTAmEwU8kaSsQhUMjEH6XqQCrDe7WkMqv0K6if16j84gYQTea0EscvtFkWYOrFdZpiM9xusQIw8S02HGFqA1tb4Mgk3SKAtE0tM6jdRLVFQRZQVRb5oMKlVmGrcTLA6SdM9cZs0lIPbcERUNzuyKtu5gmZiObUVtFjWKOoLCG1MX0kwZBjVYpxSQl3WjI+o42NyjlI63HwswpqwibBngj8FWDxrIoFVWQ0KoRMveQtkHqGUm/oYmgiGOmoUdoOvTHEfk8Q7YWaR1h4dNaTRBaiCo6KDpzTUZFkzeMZ+9naXke7UASzWsCYVF+Rp22oA0uAqoCIR3aleSBpBGCqCiJNks8Z6hrhbYBofIY5A4Cge800XFCu2GoMGTJERQRQinCTsmiLalMTWUENQphoCrmLNIQU4fYyqPJe2hfEXBO7m9RRD7KLfCVQriIeVmjZxK1aEn1DGc1xsYkuUFZhY4F+WBOEQVI7WPmAt8JpLI0wuK7Gi1bkkFDVFpMIyhDS01AU/u4RUvSBiStQM9rlDPIbo3XFZQmoKgCSpfT4gCPGCB+txTV80LiVODmltb2qJXHRPmMZhoTKGwCrmvxSoNfG/LNAk8JNJp4WhHFIVkUkmuDUuBJyVQ3SKuJ8hhRhkCF886grmirDqUNkFsLHJbGSWZth9A0xLaibhqcK8BbMKXBOoM27/bzyoSkVY4wMPgyBb1gFle0VlDPFHVH0ESGOsmZdyJaG2K1QxiBw6d2fQJhMJ5j4aU0s4jG+NgagmqO1oaoERR2RtsY2lQgpIBQYwigEuhcEC8kYRxAYCmTjMoGlNbDhIrW71CHFblbUIbvVix4gSUzDodBJxVWAzjIa4JFjWglrfSQbQ6iIasT8tqjRuMHDaa0sGgRRxGhXBDgqMKYJpO0mUXojKbfwbkQXY6QWqMCS5B7KCcRRqJPI+auJQtyAlW/myGIRnubeLUjaBzDtiZ2FUpISh3QRDWNaTk/S3AdSagazkxDLSqkNMxTh81TdF2Q2pAgqQlZcG4SJHNG8wKZjSjLhFx6WP2KKqpIfUUtc7xCohcJ56ZC5TkROdnZuzGm8hybtLSVwlbg2mOkn+MrD9fX2G6IjTrISKBsjSLFSw2eU+gmRAYpqBJpHWXl07YhVenIckvTMTS6poxApz7xPOZcCRyG0q9QJeh5gzzXnFcZylgCF1MNLeDojBW+TTBCM6GPn7a4yjEPBSovUShiG9JUPnnjM5eKbWps7JjdhvGii5IeuQdhX6J9h1NQjgyesXTmGXgBrQkpc2gHKdY3hG1NEyuscMikxEYKKyQqnuM6BVILRtOKqSpoGkvS6RCmAQ4o44w28aCQbB5lGBXTIsk7BlktCKqcDV1TV11S61ENGlTTodEaZ0riuiCsoCUnsB6iAZWWNAtFncX0RBfXb2g6LV7Uw/ag8grOXEXHN8QRWDumaTxs20f6Fb5X4akKZyV5U5Plgmq2hfA0mpK8aWhchasbmm6BsIaghmEl6eqCcGCppMJG78ZMw4lhuqgpK7N2bLQsN4ZS10Gg637/1AHdVYPNyyDQVQ7GOgdh9fM6B+g6GLDqqF8Vft1b7OtmFlxl289xDG868L8s7k3yepM6vwxQXRZ2FRKspnHh7JoLEiAuQNS7U8FWdV04xlK8nwEEGCw4aJf2xlkHd35SJyy394/fvl8HpC7Ly2UQ6DJHfHU/n+vqQAqBXYEbF3Eumz2yDobYNWX1Lg7gLp/l8k6HQcqL/L2b2YYQGHuhYD38+iifF/8uAaB1clX/cFlbuvj87ud3+1K9C8gH4Lnani5m6S2ntwyklj/Du5lmV83cW/5+EX95g/DVPCyHXU5/VdZB33VgalXn6u/L+lbtWP794rflGXjLOi9OeryAlevSWFdvq3rWxblMbvpMWtfnrcv7OrByHdz4VBB2GUS5ib7LnpvXhbusL7lJ3HVyWV39HHB2naz2bavx14Gpy2z+1LpaFf1CE/k9OrpPMClx1mIxKDzahWaW+8wG54zYILYd4uI1eWg49xTu+C6RGROolBdCMRxE7G53UB1HfeRRpj1k0FJ2Jef9Pv6/jEgMDMNT8l80+FnJcLpAqwlpz/Btv+Shv6DoJLATsV0dkJ+GfNNsIp9t0leawJvSfq9oiallh8W+oTOY8kX/APP0NvM04I2L2drOibs5rR4jt3q0vYa5Ldk7kMwLwR9rRxBk4AvG0YjfdU7oigTr/YbE/yOen1L4Ozw3PUpjkWGXByeCoNHYJiL5sofoKvxAcnLWoCYl+813jLt/INUJ3sYhr5Mup02A9/Urbj2CoBvy3PUZzmqipiWzt3ibHXGia3Z/9YBMnUFaYV7kdBYh/QCie2+Q3RE2SGgXx2jr42SCt/MDqnS0teZNBL3jGeFpw/k//prk6Ize2ZS3JdQmoFUh7W2f+O0COTvj4FbA7pFhb6yIp4rnyvBaZ7iXGeO0i7QRw46kdBGZSvivL56S2pZxbZnbmPN2i0WxwX8e1nT0HCuPOHpaMkkCZnGE3SoJlaSnBcd1TjkdYqeb9IYvUKKgcCkva4HnRvS9GO/oDKtKsv6U0f0MT4+Q7PNs1Of2sc+j54o/tYeEsmXbF8TpAKNbgts5u5FHf6oZvQmYJ6ecFYazqaXTe4SOYppezK3vp3hVBV7GeTqi3VSIryx6q0YWDjsVNFpDbomPJgR3JNpTWN/D9GOCRvJoXHB0t4MqQvghQfkZLk6Z3P+aOv0tXSW4FR3yLKtIW42wMXMRQlVgDl5y3vyGmR0xswHd1z5JsEB5Z5y3CYVVDOQP9OUDahMyqae0Lz3Ia872nzM4f0ycx+w0b5C1pA0Fr0ZnqO49QjOgPPDx9SnOX1CYDr08o0tG8NmE+PsRdeFxvF9j8wFBHTA5K9mpYLNuqTNoH+XI3QbZE5TfbpAfdygGb8iaDapZh1smpUw0aeQRs8nmswV7pznVrV2eonjlCX6TVgirsZ6k7lckaUk4rnm17Uj8kI6LGRxVJN2Eahhz1D8llBqXBTwflNxZxNw96VHXhnbznGpjzFk2xMwSmoWku53iRI2xcJDus+8W7IZjBrUj1TnTzZRGNO+OvM8tZR6QqZCzwOPLR6eENsUrFhzEEd5ZjPeqR/UrSLs5x6rEJPeItWCgZkQnAilCFuUescrIdcqZnpLnDzFGQl0xWJyihEa1W1jvCNmmNOc1PT9BdSMW211EXtCZh9wpt/CnHgxKgnsnfHe6wbyNqfYDos4GqCmF/Q7tuoQqIuwITmclzkm2E4MsAygtaj6jO57QEHA62GDLvkTajHFjmHMfEfvs9FomByltDu77ffrB94RJQX5niDxS+AtH49cUD1vwNP75Y8I7BS40UCmaRiBaSfx6xKvbBVV3we9EydlGTmoCbjcPCacGnZXc8p7TUtComjIzVJ2GPBS8enqPR8MFWyLnT6Zl1Bq6rePZecR2MaNvar73v2Crc8pO75xveMDopOD2wYLcdDje9DnvG1T5mnQ7xo5i/HZC8KSLOBnydf8pd2cL7r5pSFtL1BXEkcQ3DcXCkU0Fs+glWgdEcRez61BJTGKGqDsNujlDtweIicQWIW0ZIb9qaGxDWUBW7NNmmnpmqfNjijonbTPEpqRXdtk92uLbjYLWLVDemL6o8RcR7kWPV/Uh0nbosQ+3FZ25ZP91i2SfSa14NvX59fNDqsAwvRPRPKuIDdwqfAoxZGw149SwL+bUw5LJluDZ019DG2Ej+MOgIVCWhZGMtyqCqeP+HzNMcJfSxZyXgsPbL7Cho1fUtLHG6YZ+tyDfDWibhm78BBNIyAL2/jrnODqh7EL/UUL/2020q/GC55Q9UK3gi28zDk3IJHEU/zhh729nDM9LdrTkz3rAaddH/u452/ktdLVBM23YWxyx286xgzecpntkNqA9s5RjaOeah3KLg9sV5b5AB5sUZCzKgm8Cw290xbZqaW0G7UNEOyIN3tBRKT4VeZ1wPE85q3Oi9EuiWwX+cMah50izEmMM868c6hjURHB/JrFeRruzIN28i1fW+FnO/ssaURmq5qe+y6rcePleHMcfBmcfIn8CdLhqVsB1ss7pXbXlKgBzHVBbdRJumseL60qpK+NcN/BeB5wuk6sGx5/ioFym+zq5yVvq5etXOQPL6a62j+vaywen+t0XpJAoJenHAQKJdY55Wf04a2e1zHkPOhxIQEmBfX96meXj/XtWQQx8DG7W/b1Je193/apyWk1j9f9VsHABcS6+fwyN1sOiZUd3FaRc6FyGKMunti3Dvw9L1fhpO1i1bdmeVftX43woD/GuZi+W6l3Icn6XbVienXPVCZmr5bG8bNE58WGzevmOn/0EMjnHByi1bM+6+root4/TuH6Po1Uwt1xGF/W1Wl7LUGv584W+i32nVoHUqu2r15Ztu0k/tjpL6ib3+PL3q6DUZWV3ke5ltt2kP11XH9dBoavsuS7tq3R+ip3rwnxq+lfpuK6/uk4+FdRdl491y+hX6+qqtn2dnYvF4spwV8nvwh0m+wmTnRj97RG0FongbnObiRKcBi3mly/YmzlunyrSjQpjI2wTo9Kcsag5US2c30e4FikyWr3J7jDl3s6YbzsbiIVPdOaT7Uh6+Yyds2N+0JCUHXbTEa//6xl5HlE8H3F/foDyQpruFt3Fc+ZBy6uhIqlvkYQegwEc1QEeGZvqkLY/QmYV/ptTDnZ/T+QLHohjvvGmMI/YeHoHU3+PsDlaOI7NA4owptrSiKOafpPxpTrm7faIJoaoM2OWNAgX0c/uM+fVu9P0jve4fW8EHXglx5TWp6YiVS8J/rSJKCKq+wG6kyLqiubrkg1doUTAGV8g7io8TzJ4JtiInmNY8K+ziEf9gNgXvKymNPc38Tyfx/885kRVGL/hV4MCl+1jyoi2fs6rOwnjgaZpz9ghoeM6mPoBRBVOVCx+yCn9hDqSiPtPqc4E7VzTCzq04RQhc35xGnFaWxbC8YtfS17IliNn2HEgnoM9kRw/2sKzGb4rsBsRnaAm0TXSCJK3m8THQ8yXM87GOdNJzRe/7uDGUB07vmn6iO0Ebzcm8uZ00hm9+Yz+UZfQK/CSgidf/oHSbzEuJf5/byH3MuQXU9LXPZJoxmDjhPFAgdzB4x6P5TlR20c3ezxJ/kJ+6lE/28DuxgyDnNvqnPJozsQLOewP6B/49HTL5qDkxfYcWdT0jiuSnZbK7zBRe4Rfp9SqYbbbckvGyCAgT2JU1cVNoX1ecT+smCeCP254+HHMhpN8lbf8adQiSHm4eM3B01sUEdg/HLHzzTYxPYJHI3SRkVLzfdQwUjkdGjbrlso1ZALe6oANf5NOHjD6i8P84ggbW5q3+xQ2oJAVp/ETble7hG2Hs9Yj653SRi1hvMcwPCS0OfYoYFFluNJw+7yDujtCRhr9+jXfzHtMqphbQY9+ICCo+MvON+xmeySmx8udkvigxc8c5Rdd2rlCpZZ7+SGyGGFlxPw/vGbrYEB3GjPbG2NkjJU+NppizkaQ9hjcOSd3LVXTsnuQcrbd52yzw6wt0X6Blg3qr1skg4JoWHFq7rOfBuwXkuLRNwhviJBDzt1L2kJD6jM4njKny1yO+E3VRwuL1TVv7r7ENn1EtoVcnKK6Y/RgTPJiRJY0TDYqivARnXGX4WGH+T8cMMsc40MPvS0I/IJEp9yZ3qZJFfO5oX/nGbL1sIshr/cKKr+ileW7WS+1I85BHN/HCyqinRPS7+5SFB4LY3i8+wTRaZn1YwbfbOHVEh2U/PH+OZ4MeZTeouy/RqmCXmv5p79usAg0+jct985OEG3BmdcQ0SFWglFQkSUdaqmpjSYMJMYYZucp6nUCSmJ/0RKmNZ6ByAtov94F66F/O8Y/OaFpJUe9X3Lv7RTP5rx8lOL5e8RO8Wj2nMPkDvO2R/WtZPuhIo4t7s0EHU6wXs25GDIPUwoKiukC038ISZ8kPqEqPGSleLjwsAOPxlNMDyQL/ZRWnvBZpjiJhuQy5qvXFUYlWBUSeYLZRsu82zC3C0RdoyvJcPxrhD7DeefkWzlzOSQXCQN+oJgFtFnEo43bTJ1hVpWM/vyEzC/JPcvms1/htecodUL+vyoWp33mh32yYUyweUK4cYAzKcM3dxi8vMefe0/pdz12Oh2eNopBATsFHAximvYQUzxHM6LnLENb80/Pb+F6JfHenO32DvlUc37myP/rgrD16I8jYp2RzzzOTxLEb18wWGTsPy34i/DxNgfsPrjF2V8EpZ9T3xoTfLdB3M3pf37A4uUd6gVU6YLPzBgTa052NhjuV5RBwSFzdl5rvJnFjmtMtInuS7p3a+z3WxSu5mTvNcPuDloKXD3laF5StRHa3ufe6SlJWKB/VaG/28POHUXzGis6tIEg2yiYbDuU6HD7+JdsHD+laRr+0rtLd3GAqgua1mNLapyUfOPDF22HbmwY//41SfoluhhhFhWdJMBGku83Kuq/vsWlU7z/JWdjcovuvEP3KOPJ/pCJLxn98c8E4W2CoM+wV1DnkNcN3+hn3B/CZiyZ1Bp3Lmhrn4Nffs7DMmUnKzl70wUXYpTg2b2v2dlybISa5n//jHLTUA8sWdZBdF4h/BOa737BvinZEhnP40M2mh4bTZ+m6ZHeSsluLfj6f3t95Tjpk5bvXeUoXcgqALpusHnTN6vLb/SXdd3kLedlaf69EGcdrLhO103fuF4V/1PjfEo66xytm8S97i38ZU7BavzL2stlzo97FxAn3ukPPY1WCoEgq2taY1lXKoL3s4WcxSH4MdTN2sZlJ42txr0sr9c55eva/PK1dWWzDuhcZee6NNflYxVWrAKjC1mekbOcv+tAwaqsg5MftYsPM6Muv+9Wnc1lcHTZTMV18PrHevjww4/6V6DUuj7pqjxeV69XyWr9L0PJZci1DrQ55z5szn6d/pv2s8uQ67pwV7X96/qj1TJare/LZN29dFmdLYe/zM6rfr9Mfk7/fJ2eT7Ht3yv9VZ3/HuVwnZ6f+0xafy+vfxZdNqPw30tC1yBKSz2HMIqwxmKMYOaDpaajSub1kLIpmJmCUIHwHI1niXRFv7bYWlCMSsq6oapKuvUMISWL7oBgLminkmIe0BsIwlZR4fBiHysiZlWHaHqMMhU6LIjLkNaPWIQ+1vm0saE/qOHQIvIWZIUbKhrpyIzCiRwpHK3s4gJN68G8CYkWIaZQ5H5NWzk8IwmdoisqIgSgMQOILQRS4tUeGEdoHKeJQwnBoFBUUYz1a8LBDM8LoIU4H+MNhhRCMJ322cIjkI48y6FZYFtD7vXQNfjOY9sLOJ+V1BJMlSBVgPRKkl5GExpKCUmbUYgQJSK0kpieRxZIjvMAwghiRTNvyfyKVkI030ZRg2vJjcQYgQHKxqFdS6QlaSAJXEtYO6omBpuhfZjjkcqaTLQcTxR1L8RLFI2QRF5O6GrCmU8QZoRBS5UOicyCJDJYz+DbAl0JxLQkTDVxFZGaHsZYWmfY7BpK3VDWDaW1+IWHTTuIuE+uHKXMKbMaz0h6KmRqz5EZ6LOQqalQbYkqGpTUKNEQsqD3oENMD1116GQBCIPspXhFRWItouNRxQKhNT3ZxTULcltzUteoNMGvYwJnSL2WQkdkJHQ8iaGlri1h1CBVSxUUZCddTAF2ZDktJU1r6JQLOjagp0GEBukXKFGTtD7Kz0A7Wq0oOj6y8dBzTV2DEZYd2yKchxTgywwnahrn46dDQl0S1A3CG7CwkqZoCM6mVB1FG7WMNPh1itUNZS+gahSmCHDKw9MBrWxRHUPhSYx0TM8zunqIDj3GYUShHMa2tGiaOEeEBUHYw1pLZXIC2eBLgXYSN9VEfk0wbGh0hLYVrikp0oKmltimITsPqDYsTZJDWxCpCj9qmMaC1ilcDXOpyE1FWzqGaZcqELR+TX+zRYcKJyMGkwqJJU0UterjKY2SJZkoIe2i85iqFpjYQ3QsppqiCge1oRIhUlh8Jqg6Q6fguy6+g6z2qBc+PVMTtAXOk6ijDM8F+LoH5wbTa8k3NQvR4llLr7JYW1IpQRVqvIUC30I0J8jEu9mJLqKIM5QwmNTDbx2Naim7NbKM0J4g8GK8xMf4LZOwopcZsI7zUhBJgw0cR6EHsSEWgsFU0UsbWmlxUYybdKgUnMcOLUJEq1FngmoYgHP0MkWquxjlUNkpASGhECSFox4IammY6YytxhLVjh5nyMincQmFbIgzS+gERaeLakqi3KBshGoA67C9mmlbUTUNOTW28hFWk9WKgZUEpiafVjTSIJxkPs6IKh/PV6hKoHKDswGpSNCtpWNz6rqHjixaZeTaZ64bFqpBTxwyDxGlR1q3xIOGoNOi5xYR57igpZoEVDag9n2KhUM5Qdcomr7BRhoZaPJqhmxKpJOEuU/YOIwq8QDrGqyTZPQInKBj5wwXBV0aAmEJOgqFAjRdLUmFJKUHZUzdlBR1ydZOShu1OM/i6RB/aAn9lGheENaKJI9I93NaJwkXHnIukNaRbzfYgwjVQhTkVBuCps2Rs5TupkZ3LKUfoQc1zra004xF4GOVT1MI2vMQlCZyPtH8nMCAHo1420TkwmBVwSBuUUZRtJsMK3AY0irEzEKk0OhRhmcLvNwiD/sY3dJ0GhYFtCk4CapvEG0PU8dk6RTnwDlJb5HSRIoqCmhmLbnTaOXT7/jEbUAQtAQ2pC4EZV5j3IxGByglGc1LTuOCLGip0fS1gkDiJRVeY5C1pHICLzKIqMZbzJlLwcJ3DOoR9cJx3li8UU4pFHUpiccL6rJmWrXEYUrRWhoh6fZKXBkxn0U0bYuhxuqWftfHiIi23iKrAubeOxvy6BjVgKmg3dC4MOTDniZXyM86fe+6cDcZEP+cgew6p+JTZJ2zu6z7U97arnMq1zm1q3m4+Ls8YL5qIH2ZHdeldV38ZR3r7Ft3/e+Vy9rGuvK+Cgr9ZMbcBz0QeIrQ8/CU4niefjiRTIqfntD2AdzgcO7drBuE+PhMuDXtbp1N6+SqfZ2W6/liOdY6uLGubFbby03gwoX+5d/XAYtVG69LYxnMrgMdV0GGdekK8W7G1QVcWbZjVZ9z7oIhXgpfLmDJVVBlNe5yvj/S935D+49gl7O0bfsT3evuz3WO8E37ysvCrfYjQogP7Wk1zupSy9W9ptbVx2Vltc6BX63/qwDUVUB/Ne3lfF4Hxy50XwWZLkvnMrtvAtEug6+f2k9/qlzovZi5eZM++yZQ61NtuCyfn6L/74l7WftYhc6fWg//ns9CRQbnIYyhd3+L0liyyvDaL9hp59xpF3yz+A2zbEJRH/B5YGgTQxqW9AvYHEu2Cjh4eMqktDQzy8ZJQRHs8n30gP2/nZBnHtM24LOTiEYWjIUjuDsgX/Q5rxN+/YNEDAvSuw0jtct52OF0KwLXpacFt/yU4+80ZCVCvKH9X+5SKZ95vslAHKCth+rvkIiAulL8MJd8cawxXsWbO6fULyAuAjabgEfyDO0Etkyo9n1sCDVdun/1kAtHT/U57EzRnmRvETNXt6iiOfruE1g41EQweHaO/1980rDL4ekj9sWMoVpQnhyQtZZGJzR7+9QnE3RhuWcM9dEJU9eS6/u0RUxIy8aX55wXC2gdn3dgHB9jnIenR7idDkUU8M0fA/QvBWJUUfxgkKrArwR7B7+isd8zdxOOVIuxOY4CEWvuNQX9vOHrSjHMauKZ5ZUYEGRTtOf4ru9hmxLqhu++GZF8FhN0As6Vz546YiAmjKaaYFsReBr5wy2SwSHhKOd8ZKjNAsyC7gvJNjsM1A7fnyRk1tJ2G/7Tvbec14K3uWDuKsxZD3d2F/8/Bpxby0F+inxRcW/Q586oz0Hz/0EejojO7rH48ikd16DnHi4b0ckV+9mY5MtfkkRd4lpy+6DDlDGTO6/Y+bZBF0Ocu8VkOEe0EaN0yDgbcx7kjF3JPzx9RF8ExKHg3ypNKqHx4eFOhM4Fbi7R4SHKZahyQvY2po419lcl8+c+vazhy/ND4iBBxwFys6IfnSG8FhGFiLdThJYof8jJPY03g40nLanXELmCr+ozXhQPqAS0gwkqEcQ2YP94j8j/GyqsqW91ORAhxaJlePCS+fa7fcc+H4Tk9Sk5lmJD0Xz3C9p0SLpfsVAbBFGP7f45bR1S+i3fTY556FtiX/Hdbg/r50hZkVc1dXKG8Eqi7D41h7TtIRupxdMdRBLTHDds3V8QbVZ8191i5B8SLcZUR47KlRRByOTtH8jiY+rhBDWuGSYlbBQc4dFRLVHoeD3oQz3DO5jzaLbFaRQz6RgefnnKrB4wy/rcOjlitit4s+/TyPts1DMG9pxS1nipwJ8ljM0uNioROxmz+Ae8Q4d4rTmvf8GQE7b8b/EsiPkIZrewu4dURYf87QaPoylluGDcL+h+fwLDEfbuJs2fLeWmx3yYUEVTtgvHQ+CpNKSJJB8F3PsjCK+k2q3pn0pqP2C60eVkb4ad+/ivN/itLnF9S3m3pf7XAR4efRni3SoZy5wn0Yzf/7mhXBi+ruEXYUA1Unz9mU/3lmVjIbj/ootWAfNEYZIB5ZMtjOcoH4zZYYMokyTPC86aBF9KHp41fNcZkMt3M0NHOxEdBOFJRn7fMkkcJ82cjYlHlDn246c0/ccUfpfCc8RPLUnjOP4PGyQHr+jPCgK7S1U31MZR7YQ8f2VYTBr6TUqYb6NEgt037MqKgcn42xuDHVqsMJy/POau59MLFdWmRU5jinyTF9FDPmu+Z9OOeZ48ZDt5QxyPeSkGLFRO3TRsHG7RSRNUHfBDN+NusGAzTpH/0iG9XdJuzpl806G5H2H3Qk6/XbCXBey1in95VBJHHXpel7ejI6wJUfWQXz0TJKakFy6QomXSCs7KgEW7hZQFunfIw4MKyjlNWbG5IdBeH/QG+9E5J3jMzTbipMeimJNPar76z0csNBw1ChsaAlGyw5jkfy/QViO7jldRjq8se1VM8aSh2mw5+ErSnmsCZxi1U/Qdhzkv0U9zHv6nBWmU8K3Z5uHGEcqV5CcVZ93HVE1Ac2Don3l4eAxMSOBSkg1F/8u7vDhsmauUhc7p38/x0i7i1WMS/RJjYJzuIWofr1/S2X6N97ZETmP47h6TX/zAIllwloF5aoml4MFQMnu+RTFTnGXPqOQWsYJf18/4/vE+mR/ifXPIrBkShH32P+vRmeSEtUOdDvj2wHDWTODed8jOgA4+v3uSU9+rafqOukiwLsAFEnX7FO95B//co6ZPuVfhjQo6/zzl5b7lPPF5/N2vOcgbzsKcO189ZTbpkp/H7H//ljMnOfQE/6/HOc9Sn/NWc6svOf1hxPHLEdam0OQEbckvb6WUB5ukh7tktmbcCTjdCBCjLrOXDpNmeA9jupWmdz64dpz0yafv3URWna/LnKyfM9D7OVDqurfJl70tvyydZfvXzRq5Ss86p/X/n1DqKif0OoB0k98vC3cZ0LvJ98vAx0VdeFrj+x7N+1P3rLFrT1ODn24CvU73siO/muZVcdcts7oq/mVOrRDiY6DEBxbDu1PlLurx6v2sVpeZLstl5bDOOV/WeRNIsCzrlqqt6lyGKsvLJFdh0Tq5DOJdLOX7OVB0FY5d2L28P9LqaXfr+oV16S/Dt1XQs7z07yezkJb20VpNZxUUXsC0D2kLwAk+HBopPgZ46/rn1T5yHQC4bFbeav4/2hT/Bu1nFbysC7/OvlUdl0G360DcunyshrsK1l3IuhMRbyqrgG7583Ug+Lrfr3pO3xRgfcpz4e99bl8mN623y+SqurvQMZ/PP8mmZbmvNYUXUumAz2g434HjTcn215v0h5rOtuSP+ojouKZ/0LDo+NSbm7Sbm/T+9lcao6lEwj1mzEaWox2JX/6GTjdlODhk+M8tE7fNm/A+nL15t2eVkHh3DP2OYLsrOFcB3sLQO644TGfYpI+3dZui+1f8aU73heGg/g1h37J974x5NKTQLQtvzqOTMf5UY48HmHhIqhSHyuBPNaqXIr96w8M/WySO6T7slXuYIObtZsjo22NUJjBs8tI1BNbwVVvz5ztDGjR7b1sOpYNexe7nZ0yDAaGBX87PeNIktDncfjvj9DePWEjF5J+e8mXPwxtE/O3zHcx5Dk2N36kpjs+RVcVO7LOQPsY5OtWUMUALn48FrxJHqgTdNOFWsEHPD2m7Fc9Vy9zW3D4649Rs0bgeX8iAycZb5knGzNyjq8b4MmfsxWjTxa8jhgcx6Z6jSQz7f57iXIOVDW405cwzZJ7j8WiDcyeZGIU72uN2csh2cMLiVDOpN8nFkMe/zpidLFgcZ9yVNZ1QEEYK2x/xWlYcyZrPB13yaUU6LRj0DLkSFGjuT+9wWGtetzC4taDEUjaC353fpx5VzLfmzP4pZXdkuHcP/ke3i6kL/HzBcBjQPVR0nyrO/9ceuq9IAkH1MqfyPapBzK1vY6pAMt6BLzuWUtUck5H/fzW1iqh2++yFExw5aZtTJD2ELwhCS/4cgqBmdDul+v4eMpMEZUbdjgk7lp3bPvMdja4ihi8HiDbAhA3l1oTedoaxhumpYHbwGaWNyHot+uFLtFIk5/e4FZ/iy5SqnVN+vYtYQNc75NXWY9KoS+0J7kULlE554R8Snt3HbxVJ9wmb2Yig9KkmFt/OkKKmjTzK3gMy+rw5VqhfvERvNAT2c3r5a6JsQfRKEz+osJHg2be75OmM1jbI3W024hN8UXF2tId4cAYbOW0TURwOcJOEO3Of4Is32I2Mb//6azqbFj/OOTn8Vx7JW+x6O9Q7HV4eZRxPMkzniM9VwG08imlDIAUqlBz/ukdx0qE+DdG1YcPP6EcFr2+PSMScTpvRO7rHQak4bg2/GL6hdgGFC4l3Z0w8wRSPz0/2aZlRqzN2dkImY4/TI5+NcItQOjzZ8Cz6I9LfIAjuMikXWNUidEt0ZKi7IeVOwrB6gsYihEfyr7/EbNaUX445n3dwIkN7p9S+QY1jwldD7pQWlSxoN07ghy3a2tCIjEwKKtNStgUP70XMdY+vzS47JzF0NPkjRS/4lu5MsvF0D33/KXlcc6Q9wr88QJcNQfQcfrePVwV0/k3SfvUSJyrcG4/vjWDeCWkebfNoOqYzU6iX++gvj6m7BUeixYZdgspn/7nmGRWplpD0uVufouqaV2nA7u05HV3ReV3j9vsUseRJeU6tI4wnIa4RfwlgAu1mhrp1B90JSJqnTNI7kEc8On1LkHdphOSb+6/pn99DFjHPvO9Qbp9AR+zd/oGRjfHRvPKn1NbHupDY30A+93FnmtNOjfJTIq/hN7IPsqai5G/zCc1wHxEP2Dn5jt6GR9zR+AcVx5sDxoOE4fQUeTxEzHrUvz4leF6gnhd8l4yp7/dpb3VYHL8ibLaJm122XmnG3WNOe8fYSZ82L2nLDLtX8yDyeKAD/uW/g+hawh1HqO+hpqeo8Vvcl1/ScR6DQjKeKaSdosQpTzcD3EASjuBLU5BOuhwfbHLnvCVoGoSr+B+/HdOtQx6cDPhL8pSyEyOGtwiOn+LaBusUez0DlaWaGXr9Pgssr+uCWBliNAMbMh9sUEw90m8kd8WUSFfouOTodoPXwP4bzdPbt8i8mrp+RXT2S3oV3G5fcvp5Q9ZRzFSHoStxdcNkVrEHhFUPefwV6otvaXsVc71B709jdKFptx/jJa/w6ozuS/h6J2IWO0Jvxq2tDTQeb5+m7GyEyABeNCl3dYzX+jw78mjiCK1b9usnjIJtMAnfPJPI3RliWGD2GvbtLmHW5fmfGurkDKcqBkdD2l8usAOH/ucv2VKCUApeWY985xyZzPj92YzxUDKNNOnJgNKcg5nzmwWoTR/VDeid32OxP2bWz/j+vz8muXdIb2/MZ28f8srEHLeSr06+4UxsM/M3+PyrYw4WUw5nc3pTjb8zwNvp88P/8bcrx0n/7qfvLcu6wfd1A9vLnPVlnf8edl3326c4vTfRvxz/prMDrpJPuX7ZrIR1MOznOB6X2XMdSLqsLK+aFXJZWvDe6QOce4dnhABnfzrbYlnnOkh4lQ3rZFn32jyJd/+Iix2yPwFILev5yDYhls4NvAgr4OIkuk8UIcRHdl2Wl3WQ6qp75SaA9kf7P26H68DHarqXtdnLHGxr7Uew57r7YjXvq3attqF19Xhdeazr3y6918RFGPceNr0vr4uLfNwOnbsIB7w/4VA4fmyL7zUty+qJihe/rZbFqu3rvl9XBjftz9eBuVW9n5r+VXV1E/su6z9vUv9X9bWX9UXLEOrngK2bPLuWZV3dfgpkv0rXp8qnArXVuNeV1bow/97jjoXq0GoPPI3Mc0QBIlPUUUZNTJOFOOljSo/agskzTF5S5wtSY2mcoVUNXqAIRUCSRXQCQ1iCdxQx0xOsKtkKUk63FniNR9x08KocT0kKHdBKhc00s9RDmwW6rAknc2QpUYVGAR03I2wlUaYgbQh9RxiHdF0Pi2ViKtpgThMExCoimaUYl5GalrQLXusjiy5NJaiEYy40uqrxK4uOMzotCN1y3Cmo2w2cgHYwp6tB6ZbkDNqowBMaW2wRpg5rGqIdQWUtZe0RRUP8DYHuQ+TOWXgeVjqUN2fQaZFKYsoutapobItYeLiOh5SavA5pRE2rLBk+aeAQSY3pp6hSExWaqtlENBJlM0o/pS0rBI7AVjBoMHFLADS1pBSKyndIVeGLmgKIE0sYtcwiQ9w4gkpRKg9XeviFhxcomgDGATSJphSayigEitpB6gymEzAPBDMtaFOPSagpwoDFpKRqSipdomaCKBLoyGCDFBFEKBESzRtC4WGJCIsapg2ec7TDIWJUEHRSBrWlbAVWeISph8oFphJUbwS2Nng7Ne0kowlDcj9gVpYYX2BDmCtLWRkWc0GuZviUbGQWO2qoK0V9ltBrSzwNyhPkM4vyDf1QUKQC23hIr0frnaF9gTY9itriSh/KiDiskKJGpKC8LsI4vEmLTQQYQ2eeE9Y1fiCJ1bv9uKgt2byHaBxStqQxuMpDCYXuLiCqaJWhbEI2wpJuo/HLIXHtg5FMOw6/svitoFd3kKpASdguusxmCicdQxxx0+LVFswIMzvH5Iamfbcc11HhqxzyFuMMTVxhMVA5VK0xnsV2K2qdUQpFW3XRnZYm8DAyxiu2SWPFqU7pzgRRlTEQOXlHoWyDbRvqnkOlIBcSedIiphJR+ATyiNAz+KHCZRrpOTxZ08Q1Rjlc00BokLnDK8HzHKHfkoiasHNOm4HIekzPfYpUI1uPQE5QRmBLKLoWo1uUqAhmBiUbpFdTWofC0XeWxoRUtDgB0WCBlpAcBbRRiDEFpmwovA1IfVwhaDsGEzhq45F1DNoYEgFlVVE0NWVbMI0kLS2jTJCEUAjD/KSmu1FinCTvZNBNqEWIm0nEoEKVFTq3ZC00AKEFP0GbkKj2CDamBH6LOJaINkA4i7cxoQ0zSl2xaFo6WQ9RKMaVIU9yWg2dWuOlNbqCXtXF0wa0oMgqzMyjbAROVDRtjK01gTFIGYIPtsgoTxVyruk6D6M9rNZ43YoyEJRG0p17qEmJKVvEXklsM2JpUdrB3OBqSbTp4Zctrs2JvQ6pVZRG060lLQkWwyJM8Z3D4GiSAC8uCOOaIFmAP6CRHl5Vok2LLyrysMS3NTprCE1OG7cU26Brh8oE7tgjbTt4WhN7Bt0NkLEG/127VdbHr0PMuMR0JItY4g8LtNCEmUfej4lQRKbBjR2tLJm4kkWxhXI+WsW0niTUkr5Q+FOHX1i8YMbCDbFBQzeeEZsSVzjOU40nNMZ4VJVkaC2tbZm1BlP1cLWiKgV21BA2kr1JQhH5GF+RRppOaglMg9iT6FqjqYlkhQsjCm05S0qiYoFXQmMTVNAQYJCloamgVhKHj3EZwjl8P6GxBdbVmMEZHj62lTSiotANAZJkLiiiiFpKrJN0Wo2oLZMG3KxFuJa6UIi0QZZQFZrCj7AuJDAaUzqE39JNBK3XUNUttR2ykbX4SE5EDbFBkNOOWkxskSjieZ95LWjShtBWeK6DJzWNOif25gRBwaSJUFIzCBSTXgmyxWslTIaUbUtr3p2qKxtDXJXIWzWJZxmkkjkBKnAMoor5PKewM2opmDc5VWBgpGlNgDMezeR65PTvDqUuczqW377fZGC77vvPtecm+m+S1rqZD6tO6aoDcZWeT3lLf1P5ufGvA2k/V/9N38KvS+uyNNfBrovyfjdvCKz56dGT1wGpm6a5TlYd0nfhL2ZnAEikfAcELq6vwo1PsVcgEB8tSXTw8cLDtbquLvf3ZbkUd7WtXud8rktzHbS5+O1i5tTF33UA6DJn8ar7Z12/s5r2ZVBitYyWgczqxuWrZXEdyFsOvwzKlsOtfv5g04ezBi/y8R7SvIdM79rDx2m9g418CPf+x491uh/DS/luo8/VmXPr9ou6zN7LYM26uJeB63Vt/6r79Sb6V236lL7sMp0XeVueJbYuH6vl+amy7uXOTcDgTdK7rBx+Dvi6qe5/r7ifAjXhZjO6rusrf67M/W2Er9GexBQzxFQgc8X5nTFu3qDeCJzcpWw1rRR06r9isjNMcEYWO7AGKRuCex2Y9zEHI+7ePqWZRcyPb/P81owtL+MzcUz1aEZSxuyfB+jphNNZwrNpj2HbUjY+J2WPXwQTwrLGzQ/xXISLNWqjYPf4FcEioJP1SdwCF0TQHRLt9hiHC478Q9r9gjDusemG3D57ycJm/CV3PN+Bzjzm3tPHVO45aa8lHcXYJifSJcPNknsnXTLP8Je7UzgZEUmJ99kJWxGEC0Hwr4qtaIGVHarmD2y3E0Q/p/2Do/yuhbni4Wif5E4O8YK9yXPq9haN0+xUcwaJh5U9fnjxBUI/QbgpkyIh6HZQYcJEbtLaBYKaRsDr7RyxkQEzttik3/R4a0ZE9gcCe8KkBErQKLqUZKGh6AmGRrMoFWUpON1L2XEndOY5T7nPo82UZGfB8xL2DiX9meLfRglJ3mHQRCR3HeeN4KiR+L0hJvQQTYOY9mmrBWVQU3024rxwnM0s9olADTZQwy4vjv4NMzKIoeTRa4necNgIjgZHVP4ufTXg9r96+CJA+xH1fEI01YRHEa9+v0XTnSF0y/5RQaEEdRDRf9tBTA2uqYl+6BO0NZ1RS/U2pw5bChRns5wo1nTjmGd2QT3uUP9li7T3hB3Tcuc85PjzR5AP8F4MuDf6Bk+11DagnLckTrNzsoEUgqqrmNzq0zYBToU0+gFHZwvqFLpTxe37GYlsic492nQHaQXDdMHJLzOUqdn+Zk63qAlRxGbKfJGRpT7zF7dJmEDcku8JojeGpKlodmeoYEGDRM732RodMqoE/NsjhDonS0oOPre4o5Y4FXxhhmj/DN+N6TW3+PNJTJlK7vsLWr+gtJZju01yYLGiYhJ3odtB64K4+wPmqKZqHPkvcpqyQYwdo0ri90qaQcqMc7LiPk22yeBhRl5FVGlAb/Y5k/g5J+oln3+9T384YzjKOL3dRxU5WV1zPAro/+DovAT75wonGqRs2Om9IYhHuMEG4anAjwUyFmTdKe2wQnkledDHP/RJcjDditi1xLVF918iqrvY7BHfzRbEVjFEQPIEszDYVNLuWlJTUVVT/tPrBt0aWmE52m3otYat3PDN6Q4LT5AnhuTOAZ2zHvE3O8R/CHDFgvaVZda5Q9tKGrkg2y4xCNIi5Oh2xtCXDIKAo/M52bzBngN9x6BxPJhYklHDad7y/GlOQgv9hidfviYKHiJOE9q/eQz/y/docqqnmpPM4oSluymJxBah9VAqIt7/FhpL8a8Ws7lJ281IPv+OUz9k1sJiXtEfJ7RlwLP6EG9/Qle3PH6zIMhCnEnY8IaETuEaj3E6pTRd6ljTbr5GTRI8k9AfNARJgPAszcucN28VtVMkvSHtvqLs17CTcewyssLjzl9v007GVCIlfpSzrU7oSJ86bxAvQS1adpIIDiewqOH+iLLMoK24n22QuoBMtjz3npIIH0+G2GSbTe8tm+qUfOBooz4GH30uUb0FATOekxIQkDjJvcmUvB8z2YoJ3p7QH0vig4DJw206XctGJyMhxFgP4zqkKiH2QmLfZ3HkqMOCV92MO3deEZ15eEcJf9oRJB3BMJf4b2sO4inf9Y8g30S3MVpCpz9nI1HsuhD9YkDQOWOw95zXr4ds9FqGj8dspIazvOWbieXhrIuPxzE5t3bA+ODLlrTap0oTijPF5hd/Y2Phce/8Fs8GXWYJnIYlv3t2jOpWhL8U6HkPL5ck0zla9CmSljefVXz2lzOiJsT2thC359jSkE4jqnFDMw1x2YicHL/nGH65QX38lkIUpLtPgXtQCkT1knPV0tOSPyzmHIy2mQgFruGXc8fGwjIpDNX0FY0oyc+H1OclPhLYo5QDtOdzt2d5cXqO8Rt6DxTPdME0FwTyNvsLCBcRbw4s9m6K2pqS/CYlL7uIfEAv2yUturDI2LNv0N4dWp1g3DNuuYYOkn8Lb/MFXbas4OnoL+jQEdoA//kjDsozjvWCwWbN3sLQm1jEP87ovWzZfOvzw67PblxyW6f8b3ODcROEmvN10yC7ASLpsBhswusA94N/7Tjp32353k3AxerSnWuNu4Hz8Sk6bvrW+zpdNxmoXxX2Kofo/wko9fcOrj/F4VuNdxMnYF2cy+rtKrDpnPtwGt86J+7i7zqgsG5532UO83Xyo40A8sflU3xsw7Le6+rH2mV75UoZLMe9gGA/BaUXzvNqnt451PIjHat2rkKCVQC7fG21LFa/L4dZPslv3YyQdXV9AXIu6nF5Wdey83/x/wVoWRd+Ve+6treuHC4DTsuQ6bK2tlon65zgn9xjF7Oa3I9oChwXXEp8CPux7uUlpFfVzSqoc+7H5YmrcVfztW5vqtX8rkvzqt+W5ar2dV34dfZe2HyTPvgy+LaujVzWVtf1mZcBpct0rwNPq3ovK//r8niZXAddL5ObPBc+1Ya/B46tK6ObhF/3/e85fS/4xy/ozCWdBfR2D6nnA+rxgJ75gYARPtu8qp4g/S5esMlR6mhDh41b+uOnCJfg1JD6yyMioNNoXOcL/NM54esjDrw7DEPB7bjm1e5r9NzSPdQ8e9jgp5LRW4XXGbBIehz1N3iQ/oVurUjqDebzhnajwHw+59XUoKSgH2sW3yjCXLJpJS9ln3Kjpv3/MfffT5Ysx50v+AmR+siqU7K1uhIAQYIcwWfzbN8fvrazb0dwhkMS4uLK1tWlxVGpM8T+0GygUCjV94Kz62ZtXSfSw93DQ2T4N0M8PSN+/oyk7DE0EX1/BuQ0fs7LYZ/UhXxRaL57ukdlNPrlPR72p3Q9x4v1GFU3+KLBHi3ob0i0dajdlkiACxXlMGUclPTigLWVO/zeekyh+eTVgJ1HhkXsKWYB905fMZAt8dNNfngzxSzh5/Y+cnWHQhX8bj+kNQOkSxmRkX/2ljYxyN/8nIdBQ090HNQFsyeHVFmJ/S4i8euEcUj6+Q4Bmthr1pzi1WzGaVcz2AjJD4e0ZYx+MqUnNtF+yGmbs31wyLBYsvd0QrjnCM8M6XDGLFulTAesrbWELx3iQHLwyV3cSYWdVhQjj9cCoQSjOqLuHdMkM8Zvf44ctohRQTh7y6DYJK3X+ebur5ksLeszxUG1iXhQoO7nHPzmCWqSkGxFfLmzZBlrjocKO/iBSS5ZP4v5/+xvsHm/4pMvFvy2i6jyPt1iTLB9TDatGezUHJ9kjITjXtzSS3JmGwG7D1MWp0tEMkav3GVx8j3j3ZTH39wjmhxQi5CZG8PnlrhKGL4ZMxh9i1cljbd87T+BgWV054jwzSa6qYjEO87EU1zmCDb2uZOuQpcxPx1gV+aYWlC9TlmXhyRRSTyq8KOQ3AlenXkmYUEQetp+RO+0QzhFk2bccS1KO6Yjy+FM44oeG/MnDO6+xERL3uSOp0kPFaR8H6yx8tUusckRv/KY7yb4SuEe7jNXIcIpHi8kb87WMUbzy423nA0DZlry5sij8w2Uj0jvH9JzAxKrybpjmsLSGMuy3zJsDLHX1OuPWewFdEvP+uoxzXwVUybE+oDdsWU58DwZxuzuT1lMc/6258gFlFoQPQmovcW2cO/5Ogeu4NSVZHXFaveAvlxn+quvWT8bMZyO+TqzeNOh2477doFmhGREOKg4jSNOk4Bm/RXjo4jxYcLbJ3uMnGbSxZR2FaMarCrQszPi5Tphsc3zR18TVWv05/d5M3lOr1OslQmRbinCnHkyJzQBepESnPQZ9lNOB5Y3Ky3PeiPSRUlwcML/ikLatibIF3y6pdBNTHPcw92TkCv8W8XrpyekoeQufU7aBEsF+pjqeJOoVUxsi3h8wkxFvCw3WYsLIKI06+jgJfG0Y/z7jPAzQZNYjm1F1a5jCoE7XPDp6JRsJPB3V5n+c4xqWta39/h6MWEeK9zTnMBCJiT3dcy7cIIUls/8K8J9R1WHfBtt8rR3Ri+oaJyDaB06jds54qVdpQgUw+1DeoDwnpOyo93XWBPBs21AgmsQ3Xe4vVNc6bAbnzH+ZkYwrzj4QrIeVyROcPTqc7LNU6JRCTJmmhvKUpBO7xIkM9AVRwcDVoIxA5UgZU48igj7CjsoCOfHqHrGwT1Pnq9jihWetSFuc0G3suRgMcMJBVaRfluxbyqOnCFePOTRXcudO4Zf+5BFB03reXQyp1gIFoVCrMFEWFZxHBX3OYtqFlHJ3+8MUKNTmo0jfld+Slt0+HxJtL3HamhZV/DP0yeEcc1Kf8bKwRN05lArBfzjO7TRhEGK63IQPdBryIdn7HeKb2YZ8cM+LOb4F2/5ZZAQupbOLviN2yDwAVtWcfbZGqIOiXc0x49PyDLFw7DPi+lvSSLLk/UBv6+XmFND/3vPPNNIYRl2NYMso3ED3uV3cJNDtFVkxxvUn3V42yK/y0n+KsDomtOdPbJ5h7AJnb6PD6ZkScWTrYrv5/fJpSbdOMK8ESgL/bsdyx8ilIO7v2w4wOPygLu/WecQRZUEBJ8PuV8dkZWWem+T15/MqJOah18b9r9QlJFh8F+Oqf0I0oDJr06IuxhpQ2qjWJyuUeUZnTE8EEeM/Ywyzzkd3WPZX6EYNXzSq1gPaqZnp5gjcKXHPWk5SXrkos/4zRYryT6D6AwtVtkLEo5kRDUPSBbHJNWctbt36I3nqLjgn/77I+44zaaWvPuiI/NHZG6KXfkZ5tUJ5uUBv2uuPwLhJ62UOv8V/Crg4yZw4Cb6mK+1twmSr0v/S0yAL5N5GahzWZD3U3R8zPO/5Jf0q2TcNtC8KWi6KdD6M//Cv+6Qu9y/t20P59v2VXmuK+P7PIIPW/fOA0dXATxXtXXv/fvVLefMeL/CxfOB/XxeIeAyk68LxP+Y8Y9mXwXAnLfrprZ12zZyG5DuvB1X3Xh32blG58t9XYB/mb7b9N8PQNdlgMRFndf5/1p/ev6wqsmLf034s/x/nn4xIL8K9LpsLD/v46vsus2Yf2l5LsnzU8bA6+iydnLbfNc9uw6sPN+OL/P1x9hymYyPsfMDXQUOXgW0XeS9TvdVeS/KuKxP3AY4u8084LbvwYtt7ao5ym313pYGRYGqJdZIbBkiRIDqK8rTlFYkSBXSjiKkslg5JyxGBEGHSBv0WZ/IaSLR0eRDwgSSRFEHHpWBHAWouaCxmmMtKTtB0jp80xGVgJOUvYjIRkhgEufkZzEtnrJXUuZ9dAvxtMaXilZZct9CFtBFIVOfUCwVXauRs5hR1aKbnMoWIEH4iK5L8WsKF3rK1GAzcJXEeo01BuqOaO6oswwVxKzWEa2uIWroDRqWAloUbdNn1mlaoQiCCJMIOgsn1ZK2a/DK01WapujeH0o9bWl1g+0pzlyK6zLaxhLphk7WWCdom5je0iDbBhMsiVRFIAxZpFk2FkFHfxCAl0gdMKgCSBIINfOuRZGS2YDGFCS1o1d4gtMYrzscC0Z1gZcd+RBs1tDQwzUZ625B0xiMrwmwdLmjaSX1Wft+ajBUeD0nMQFRE1DFM5x5f/h4r1zQJh2tr+hnHUFVY5qSpJqQuJw4rEn7GqklagFpYjHK0BrJIpO4FHqZw4UdxikOS8OKnxKimJPBTKPnIOYF6AhKA8YiuwqVWtSgoxpYyiyhcn2GqkHUDr9XsNAZMguItkuMH4LXpELS6ByvoJV9uraHUCFeeUzPYVJHoWP0WGJbQdkKqkqiO8OgLMlYxUnJciApQ4vxArGiWS5bGu9IGTBcVIRGElUjorRDhI7Wp+SiQjoFZZ9qcEagJaoYE3eeziTkTUhvBmHgWW2gjARGOWw8w2DojIAOpAmQRiLb95cMeAlYR9QuUV6wSFtq5XFeMIg6xLJDugCReHytcS5CiR6NdBTa0MYFQQtJq1jOBMw7RO7IoxihPLLXoJslPdGhvCNZJISiRfYE0yTC1GBbj606bCjwShJ3HZE3aGmwIwu2QMkZMgAReWRi6fUbjOkQrUGcJNQRdEnFqqmwuqVJFWUnkN5jdce0DPFKoYQknFbY2FOnIW6a4bUmWLVEoSBxDWk6o0t7FEtFUGtW1i1tIKiUI2kbIimJY43LBSJyRNog5wtM1dIJh4sKrGnwdcey9HjXUASeYNGHRmEDSacDGqVZuJhCSoSSpHFIHnpM5xk1ikBIIqtZOUsYhKegLFp3FF1N1xhaFdBgaaSkDFLwNS4SFIMA0ggnBMupomskrVPsBwkutSRSkJyNWIzOqGXHcqpxKxUqdFgcnRQ44UnqOUbV5AbmQZ/VUhN2mkatoiOFCjuMbxDTEN8qTnsarx0Ih2PGIFeEtaEzHuUTpPbI6RIVWfSqYpCGBJXHNZI8yTBxTahBnAQ4ZwicoXQNiVaoJMFseBpX0PiaYdSBk9gcktWCQktqMoKzkqzQuCrABg5RG3TZkSkJElBQpStEbsqKW9IeD6lNw1yU9OScbh5gppqFXNIFfYh62MhSNB2itOSBwKQBshczK5aEKkeUFWl7jDYa4yWh7SOlxSaW9SLHho4uilhojZAl+AVBZpFFgiyHIJbgO0RTM3QBIpQkY0Ps5xhTUbuAqXUkFnQXMvaCSElGseSgbrG1AedASAIFaVSjovfb5eSspvU1bQOBiUhigSCksQneplgfUAc5znuUA7zBLjtC1zKmpBEBRne41BHWgqCW2Dqg6llEaGDqodbIQBG2NUaCFZ4WQ51ZtA2QywyTGVwoCFcLrNZ0WhEtO+pmhus8VX8F1ZaktkIDfZcQC8mg3zCPSrpeBL0Q13h83WJySSBaCDVVsyCIapLAUyeOQFkCb3FIzDLE4ohVS+l6dCakCReEhWfYNKTJFCsNeRcwqAoYSmQSkIiINA2J44BCLWmtgU7DWoWvJcaCXUDVOTCSVT2napd0sr5xnvSjQKmLX/rP//+nwfGffyW/7kvxVUHdbSeGHwNAXZf+MXTTZPxD+o8Jiv7/jW5j+22/Rl+V97yeq3x7MUi7KUC+LKC+bEXMZXSd7KsOMv+TNg3/Chz9uNV1f7D1jynn4a1/xSDer466DBw+76vLVrT8Ude/+uMPi6/+vNxX+fy8nOvayFVjxge7Lm6Nu2xs+fDv4k2CF/8/fxvZVcDmdWW46LfzdXIZuPex/fs8qHGpfRe2Uv7J9jn/BybEDe3q/BlalwEll9n14UD8Dzf0XfTHdf30D/af47nqLKjb9L/b0m3G+Is8H9P/P/B/qLPLfHjZKsSr9F31rvuxZTjfhj92/L2K/2NWR30swHRdmX6qrpvyXtWOP9B19fRTaOvFMTOtWeiA7PUINgRuo2Z3Mca7HlKG8GgL355Avs/2aYhOlsjJjOXBIzKWbIpT0tMvMKsJzSigCA/wY4GP1uH3FTOVsJ8McFayamEMbB/A6SBlZ3uN4cuU1bbmESf802yVKs1h4wBxss14kXJ/bohdj1rVFOEpG49jmnTEbriNe30Gixr7W8l2ckQrDd/iidstrA/JxQC5tqQbwJGM0K0mICIfxpyd5cSzBRungqPPfkkoB9w3km+CBX4wZ2ul4kRBPo+J/2WTU18zGyjq9TWCgUeES17qrwgXDSwhOIkwbcjSa45fH2AeG/ww4/dS4J8PCBaKzfiMOjijdDCtPF+8a1nVHWV/F8eCRnh6vcfIEmRn2fqyougElAmTH7YpNmE5sLyoc+4tBmwXiq/tcx4uK9ZLQfJ8zGs1ZSoOedg2HD0TnN6RGFmj1CaoEZneQ84W9PIFLQNOveLMS8ROjnoK4o5BHB8yPhoyXvT49rNd5EFCdBhzL3zBO285MZ4nmWQ5q5h1M4Z7z4hG73AbO9zbsqhjj3gH8skpRz7juE15NwrYShyPE4dfeF4ew9c7gv+4fUCdrnPgHtD/vkHMF1AcYt98itYQ6Tn9uibb6oh+2fDOwKmJOFts83nZEswqqqN3zP/uMfpOB3dO2fnuUwaV5bE75V3vhMr1OHF9wsUqgVL4OMSsv8RoiZmPydYllpCjesLibce4qbh7YNGhou5r/B1JRYlMJOP7Qw5/sPgmop8/JVl8Q9hottuHjB6UmJ6lmm+ykMf4NiTdfcTRlyWR8PT2nzHpoLTw0sL40JF6zz2f8u2KZKlret0h0iS0XcA09/QNpJ1ndKI5Sy2d8qijkKw8oIoNB6MEWRYEreOJDhBNQdvBbpBS5D3aOqGvFWfScaYMrCnW2hxyy/x5iyxznO14FY0ZPmjpjTqSoxNWE4PwjuiriOSRIrgT8jqfMFy2ZGVNPS0QQ00YCXQ0Y1i00BpOHwZYtcCKgrRRBKlDZi1bWYORBdZ12OlT9ldnHG3s8qsdRxtabOJpqjFF3LC7vsCeDWmClDyI2fz6iG7Yp1pfodxN8Q860ocnJA6iaIbozQn4G+pSsHfYID6paQJBayQsDDJqUHc8+W9zlA65uxoTvptSYZhGBhsbfAHtPGIvEJRpzfHglOSdIoxSoruaJtIsjGK/FNArWQ0lm9Emb/qOupZwqrhrQ/ptyGgvIpA1TrW0uuLtOKfzDc245SC0NOEQnz5kPX5F1BdUw/u4vqBYOH74p5RVEWJHIftrLXeDGZNlxMbvHvD1L3KmlHz7m5bRX78jGjra2tG1KaIR3D09Ix9qTsKE12KDv1oIhl4x21hD9g+JVEVTtoivB7g85d3nAd4YpKhIz57T38+Ick0sPN39DbxWpP9lB/0kQ20kbEwi3LcZ1TTk7NOMQDp0naDfwma2pBcveZ3G1MkE1cuIHy1pigXzrmCy2lB/N6E+zuh9dsKx73MoR/zyh5LEKZTQzOITtF6gKehvhESNRDUBL+4/Yi2MeOglL9+OKOqOYhFwd/Qd4aJP9G7A0ecVQW9C6NfJI8fhO8e7AwcPNFEvJl7LeLXyXxm8qRk9d6yuvAQ7AL9KcPKYSlYcjWd8Jo45cgOeNxscrkhQBUIeMLwzpjsekVcrmG5G6Et68i3bbguTGUYrS1Z2jpnPUhbdOq/VIRmesU95pFKiOCIYhHT1PqZsiI0haT8n9h6ZnjCaWVTR0R4scD2HqzSGkO0tQa1TXp+uMTyUIHLc+C3oAdZC7k7wbxsi0XJHlXxfdNRKEDxMGUQ18UzgDg3HWx4jPKe/fQ9AhYHlbtvxagBL7almIFYbgiag+t197NMz/DCnfXSI7Qlc5bH/zbDvPS6N6T4rWHl9Sr9ckm0qMrWGFAHRhmK0UVD0Og7FHXrxCUosWex3DIeSVCQsl8eILIFBiF4RjPY90dxwphuaU03ZhqhPBTrYpEtW2B9+x/ZBxeSwJH0240U15DDv8/hoH+UNk9DQDSZM4pRUN/zj8gzT9KHto754w2JmMGee+U5M02iwAZvmNXllWOpbYAj+ljPC89v3LlvtdFnwfxl4BVcHcB8zAfwY3suKeJuv4FdNTm+j+zrw7TLef6ug7C9JFyf0P8U/t8l32aqND+nnt4Ket+06u86XA/78VrU/t+tPDw2/yr6bgrrL/r5NQPQnNr9n/qM95/Cjy2ReBoRe5x8p5b+iZ+/LzSXgz/mzj65aXXBVwHi+zq7K8yHtuv56WTkvyrio/7p2dTH9Mpnnb6S7DJA43w5+DAB9WRv6A9gk/lj+P5P7r6DUdUDAZX3mw7M/qXv+tA8BWGv/cL7URcDl4jbJ8zov/n0ReLvYb64CaK4bQ2/Kc5UtF/1yGV3Ud5kdlwFQN/Xlq0DW6+g2PBf5bjMeXefLj31+lY7/HfRTgM3L2tBNoN58Pv84A89RL3xGRktPtWz+rOCoXONgsQ6L59ixxU08tuxYWWRMZn0Oxfz9fapC0zxaJVguSU6nPF6XlCPB2Vgx/3YN3w9RG5qtfywRpsXojuNwgndLlDvEfrGNWIaoHc2TTxfkFOwUcybLAXUccjKOGKcz9LQPb+5S2OckqmQtbtj9XCFzyfgHxe6apc08si+IvtrGlxGtUITqAD+q6R46krpDNh6/gMonhHGPtbVNjl5/S0eJ3gpxqxFimaH+aZv03+3QDy33347o+kcUQcuODEkahzeepZHoiSSUEYP5Cgd2F+9b7tmMwm5RGs/x4ltCEdIXms+EZvdBj0IGpL9WHKVTmqhilDjEIiNqQh7aALUuaeKQr5ebtN7gfUXivmfLbxKrIS/WFOPjXZJuRvOZo33p6eZQ/cLB9D5ivoI/LQh9ThiUrH0650DELETMnWRI+XaMOc7YyAry8i2lPcb9fJVyIajnCjnbRE1q1KjCLyX93pIkrdk72WB7IVmvBM/vNgRyRiSX+IdDOPS4Q8F8/QlbGWzEHS++ecsg8KzGkuFJzUnPsz+EJpb0wjFDNWH09REiBVY00dhzGmoOgoBPF8fkXcShGfJ0+oh5C/tdxReT3xC1FlmELO0KC5lxGvSwqydETUg27/PD5i7JyLA5UZTtKqNCcW8Ge1svqNyIZvklnxYxMirIVw453T9AJYrh3THhUcXCSl6HKZ8Hd+nnnnh3zs5nq0ipWDt11Nvf09aa6ocHnK19R+w7npz2eZF5op7mrzcyXicNrfTETnDoYsQy5O6LmEHf0/Ranm8d88kPI+JljxMmHI5/g06WfJmOyFnDBAI13sW9ktRNwrutRwx5TWpmZMuaN2sK40J+9ts1fnhwwGnSUO+scV8UDERHJyWLlYgqhGa25MF6n2EcUxxq+n0HCn53JBgfhgxr2Ng6pZxVlJ3l6FnCIIRQOfZUiystPpeYl3fZDBZkQcP3ehM5bol6HU9rR71aYfqezeVfUeo9Cn3KXrDO5swwLhw/bMXow5ToLIFnITLcQ3CM2f2cRdFSNgW/fPSWZQxnQUAhPiGUU2KOEd8o+qGi31O8jgQtA6zvk8XPCQNLKOH+D6AHa4jJNt1XCc1oSn33gCIt8bMMcTBm3mbozpC0NXdGexRxj8Nkk1llUAbSDta71wRdg+gs84cT5suUk9cpP//ZlKaJ2H23wt3JN7h+x2Iccfz8Pl1TgdwhHcb0ipj1N31GSUfuNa/bHsPN57hhyGLtPve//QFlFcXoHml/D+UMchbxSt0ll4ZOvEGPtqBLafdistMlPV+yNTrFZw+odZ9jETK583vaaMHXueIXO3eJCHj3bMYTLRka0KeGg4NVZjrg+K8bwncpQW7pybdUmy1Sw9pun92jA+plwWQBb549IZ8kjJLX6G8SZBEi/1qz2tRkhSF6HrC/2bLIPLYckw5zPJavf7MFkyPCUcmnK+tEHBGQk/kxy11JceqYygUrTw2jNc3qy1/SzHboqjOC7ClHssfcS4LpP7Dec4z7AerRpxxqx4nyzIIhoze7DI8O6f1NyGEbc1yGRDunJPYegdhg597/k5XWM24i9gYT9NmIaJqx/uwNy9erzJ6vYZ99z2LZMpt69M+2GImISasYf72H9hYVeE4/naLnhvDA8t1qSy02sP4BTx8cEJ8u0G+WHG7/giyQrMqWd/Yty7hh2Tc8+V7Q9iXTB4qm6LBHEvdG475omOSCZy80U/+AfD1h+nnAncU7yhPPzpsEogF9BZuyZr9bkLqGpzQcyTvMHBw1Ob07R0RJTKLvcVbtYMuSYNrRxgm2r7B3BJtRj6G0rLszfvvDPXwp+USfcrIm6NIAkfRZbQ8xZcPrA4npAsIs4M6XCczOqLzn7eqER9+eoWbw0m4yXD9GxhWzzjBcRIRNDH6F9skxbWCYfz3hCztjnLQUP88wxyFu4RDTEw76njrSrIkt4m6KliVmHfrLAN9Jfj3o2FCCVMP+wBN+L+FUM324yd3lnHFTsNxoKfoxTsU8/WZMWyqqzvNaT5GkBF5zR7+hvX+Xem2TowPHZHLAaHRG0Q7gTYs7btj/24a77xRbuyGd/ATXHWLcCafPnjGoC0blkv/8dvfaedKPWil1VdB13Zf0q4KVD3TdRPCq4PEq+hhZF/l/rNyr9NxW3lWBzWUy/y0m/pcF2Zc9+xhZNwEXV/F+CA5uu3rgquDi4t8XQdSr6GP9e5XMm9raZfmvBP7+kMYftiheBXR9kPlB3vn/LwIRf8L//q9L7b8K4LqqfBd9fVVbOM97G/+d132bPnPx+ceODVc9u6nvfoxNl8n9w3o4fzmYAfzJKqnrAJwPv8+v+Drvw/O854HHD2DUxTZ5meyr6u4iqPJjwY6r3jW35fvYMew6+24r67L34XXj2lXPbtvO/5LvhR8r67Z97S8l88fU68W8V81PrtL5Y0n4mjA0pIlh0cb4ytEvFjQ2om0ttvQIHyClQgctPRHhlAVt8VogRYC3Icsqx8mQ0MaYosZ4EFpShCVSNzjVEjRbeK8RwhHJ9zeAmU6wbJYUgacJhjQWqAIGso8ftBgNws7oAkukHFo6BrMMmyuaEqRekglBr0iZ+g4jNM7FhLJFSotKE/yJoisdrhUEIiUIFIYzokFA5BLiziJdTRfCfPsMHVWE3iPbhrrq0RnHSLe4psN1lkFZUwqFjRRKZQTdCqarKBpLqSWN9DCAYRUxsIqOJWklUCKiDkOUDwiMxJgO5wVWOuaJJepH2EgTlGe4TmE6Q12GeCFAW6pS0w8FLtTYKqZJcxrV4hYjTBXhrMSlAuctBJai16erHaIx9MsGdEG5ZpmHDT4RhDbFdwM6W2FESzpYEIcN2rUsCo2RkkIm0IvpakdVW7JxQJprklywZyw+TPDDlC6y+NCgZEudRwSpoYoNrmcpew6XetpSsKwMBoeKFYkMieuYatZRywYjZyxEgZeSYQBR1+BbR942zOoRsejQsaU76UMsiAcLqh60EXTCoVWM7lrEwqKsRjqFSh1ahmgTYFvBWQVoqBMgiQkiS6xzSikpW0E7tyQbS5IAPC1RucTLiNbGxMsM7xzHgznp0JN68K6jJyI0ikVpkdoQCUdaOFyjEZUndCWV1TTOo0WAdxIrDH50QjtscUoiqhRpFFpBIFJmiaPRgsksJ44USvRwpMSiwipBFSmaMKINwfQ6Kp+inKC2HSI0ZJEhpcO1isJrXLtEtwKhNKJeoRMBVeSpxh4jYnwlEUUEpobIEPcFbRRhfEC82RGUkrALGVHQRA56/v3Nj9YTVFA6RUFALQNWAwGhZ94YwhOHnglkIVm2LUIFSD1A9+akdUDSRSydwHaC1CpcFJI4QWosNJAIjbYBhALZtshmBkMAhbCKaSBJWkl60qGjEqsaZBMSVgv8soWqptY9AmkJVclCpbRCIdySsICwDUlNRBZrQNC0mmjpCCuLF5K6qnCVIK40PZfStQ3F1JGIFhG2VLLFuSFGRBQ9T6ygFRaTlEgboZqIXiPIOglIqkASlR7deMQCwkFN5jxRG1EEAXgYsyBQHakw9LThJOiog4pQLYnnFaEybAqFlxWVs1THkoWyoN7frql0SSIVma5po47GeFyrSOae2En0cUbUJlhlKHoOKXNS0zBowGYtNoTGDpGUaN0xG04ogpyKloqSMK8JTUci9xEUhFiILN1C4aqIvugR2xwXlBzZljBPyFSPLhCUI0nVk4RNTWA7BtZxGAlE7Kljh6wcbWcJrCVZ11ilWCTQnhgWGCor6acJJne0ZUFylOK9prQxQdVgu44ykFgpiLRjJW4x6RK5EJBHpLoh6xxpobAyQZsCZQoWXhK3CpkLipX328n7bgqnAWaRYo2n9iFB57DGEvuOWnusClnWGQSGoKkQIRAppIiZCosEYhGwDARz1bHsamTgSJOASZbR1QZhOs5UhWpbNNDJhNpAi8cGkqqIUELTW7cc5YrOR+g0gH5AlEh6VtCXHdrDPF8hthZvDHmtKEYpwgpWbEGMoZEeEzp0CjL1zH3HWimQQiJCicyGBM7SUzlDIXAm5CiUtEGIdooBLWfe0RmPrz06BhnBVFqMckgh6LcBYQHUmkhImgDKWIEaEXqJ7CxBcUpJQKMkJjGEtkMZi182dHVDZToW8wFNH4g9ZdXiTYIlopYrDHxDT1WYSQ+bKbyq6cSSvM4Ri46xktCG2FqyVjSIKmDepAwCBQHowBLWFRZHntx80PmPPlPq4kTxukndT5k4fqCrbi+6KnC4bvXAxbxXTUKvk3MT/SXKfJ3snwIaXZbvtsHET5mgXwdG3RToXgZsXAdoXaf/uq/hf5oukPIPeNClfBdtuE15Lgtsz6ddZecfVphc+H2ZXReBnoty/uwWOe9xl/jzJnDwOjoPfF3Xpy4CTOd1fmxgf5GuAvkuy39VvVwLFl6R7yabLtN7GWh6WVlvAnMu2y53EZQ6X47zPjm/Muom4Oy6Mp0v18XnNwGb18m8iueq8fA276LbAFxXtcfbyrpqvLiM7zog7yY91+m+Lu1jgZjbgEO3fX/+W74rb0PXvU9v+yHjNjTw+wz6kmwl4Lc7T1hvpzzoXvGWp9jTEDFTiCfg+od04QHb1Rfo0RSxesi76RaijtBNj+nBkqHM2FZ3mQYvqc4aukPY3TiCxCIjxforQ9R1BLRM8n1mreJNoPl2t0SNJ0TbTzh6sc+wibmrBrwYZ8j6mH71DaY/plUBrW14/MOEM5PyexGQ6e8Yl4oHbyZ8HRyxVBXOBYy6Fm1Cau5wdFTQNiCGmjsqBJFzWr7h3mSTQZ0yensCGSwHNT/89S6xE4RL0PKIN83n+CLmr/IFr80S4SoeWMvzuaZJAsxWSlbepyorXh2/RI1axADUtuLeok/aKr4Xc+7v5gy7kuerimgxQVUpi0oSimNcVPJmO6a/khEpx+bse06qgGUdULd9aqGQHfDW4b7I6FYi5t9PaO/vYJMl7r/eAQfoCrahoqIOSkz0mNYcIas5w9cF/nGO3Q45UDPWTY+Veg3/zRbC7IGcs3F/xlAJIgvfLQzFYpMmWkf9J8lZW7Oct/y7VUVYSNxUs7MoqYMN7OoDfHOMMqdEnCG6p5h6Th6d8vKZh1ggpKT4ncQXvD8P6xeS9CgjfjWhsqeUekkXHPF9X3Cn1/G018DZGW1dsTBLvso/ZXCvYPzpIXo2gP4S/eiIlZUhs65jdzlj1W7RL0uynSNcOyYcQLi9JNFj5CIj2Pc8P7PYDYm+32M4iQn1EiUPmA7vMbcSs1PA2juEcght2d6NKKMRhyuP2D7egt6Sk1/u8jMviX3MYj3k6buYdqH5fl/x8PM5mehQbyT2uMQ5h8qWvNYGozLW8s/oWkmtS+YPv8OFBpUn6O9W6VSN0Y5gMeT0QYtPGn712+9okkc04RbLRLIiXmF1xWwoMK6P8gHxpzOK8jFV3aedn/GJmLLmW2Q/5IfFOkdtygP7DmtjnOih/Tp+4KnDhrcbKXE6Qs0z7HcR7eo+anTGg17JrDegGsWsbx5g9geYs4z74pDTLKRINW1o6BWOYKrYswVzDV0U8+8HDa/6JTs0fPJPjtBGiCBm2h5hoh7obTZGv2e1XaPfTfhNFTJuYEMGxAKS1pGWHa4SeBVj7Qq9soJihspn5L0VEhUxFBHfbHtW9w33Xuwi/2ZBna9Sv9hiWJ9h1ZImzDGxJJQ5MYe8qz8nFAWD4DXrewG67aPlKvEXisUy42h/hfXiBTqpaceWF2+P6HWrrHaSJNrC1yXm1ZzhkwVJ2qBDRXe0wVwpZusF9DqEcmRUjH4YkiwjwlqijaSJPFLXuF2DrQXeDOlNjhj7kDvH99mVGiFytrrX2HgFH4PbhuPeCQ54usyRb3JkA7/MYn7YPmBuNP7rVQ67knm/ZfCrjkk2IwF8o1hGUBJzzH0+3z1kNLO0J302sg2W/RH/7TPLarPDKC/ZYES1XVLpkOXOI9T4ANFrebGxgvASx4LFYJ+Nby39mWHtyVuitEcQ9ugah90NkUcBPbVBsl4Tbjf80AqC003SgwnH/27BURSyFCOGhwdsni5YXdY8H68wz3oQhlSvLM9Ol9yvG/hPqxyOFEfDlLN/DFDDhnBcksVfcpTPOC33+NujCUd2hV3bY8X8v1jcCZnfX0e7MZNQsDZc0I1y+osx63qFldFrxFuL/UGxO3qEbwy6mrG/eEhaOaxr8GpAX03Zcs85/e4/0uiONptRKk81c3R70KdFrQY4P2K/fEpfTJnMX5BODELFODZYzA8QNQQi4iTz5L6A/VOqNc0ojfj5JGN2cMoxOS+TKY9dTWpTcr/Jvp1RaRBxSLsc4QNBf9SiXqzSeujuWuy6p9/AZ68lxco+eRPx7vVTtoZf0yYtv5+NkPWIsWvZmu7STMCEHhFZko0hLhDsnZ2wcRSR6AAeNRTb20jneKK/Jno7pjIBb9dqFgONrRyPjg85OrMUJgAUpIIu9ew0BaQhsQiYHKVsthIIgJjjLcV0GCB5SisEia3pvzphTkwThYz6Z/StQDk4fJdTihYnJGf5HcS4QyYN3+tjVu0KCSF6ZZuBecFInnL2ySMENc7sQ3LKbOEojyUPJhbXDrE+Zut4wfM84Ts74EtfovstcmTZ3H/F4bDP7qh34zzpR9++9zFfRM9/lb/SkEsmhdeZdjGguq28j/2Sez44vO2k9LaT7NsEd7cNcn4MXebny/x6lU1XgUZXAU7XBdiXgScX5X6QdbE+P9zgdpnc2/y+rG6leH97ngCc5/1dZze0nYtgz2XPrwtmrwM+zsu/aPvFvy+TBX8KViil/oQX7//kiOyLwNBtAuOrAI8P5ztd5L9q++QH3vPbxv5c9nmZ/sODSwG787ovAmWXnU11Mf0i3QRK3aZPXgY+XCznB7psVdt1IMl1dXXZsw9nSH0ApS7muapv3jRWXez3F/vPVWeyXUa3bX+XtfsfA/Ccl3PVB5Hr8lxG59vNVcDqj007D2xelH3ZzaI3yf9YAOZjAMzb5v2x8m4r46rx/Lp31E/Zvpc8DpBugLID7HGIcAbpLSYaocc50XjO5k5HZAzadyxtgJfgNZyOICkl/YUi+KJGVTHypMfXuSd1IWsiZjfZo9N9rNyA2RG9kWNyV9LlHXkbMKtjVhcepzuqpOLpcpXUNWgxpY7XaGVJow4RGwMKn3BSpDxzJxSV5sV0jAhn6H5LvNHRLwRpAeOp5MUn9xB9w3p2QFdvUlnLVByCEgQt9Oee9dNndIll55PvuPu2T5h7unrBu0cbNKkmFBVlk9FfJvzqVZ/GLyl7Obuf79P/FqxL2f3iCXfOHGHXMU9zNtSSpDW4Hc3bOy1LFaFePWVr/QW9ZIY2kuODbRZljwWCwL0F2VBk97jLGUnUsfPJCv71An1q2GxGjGSAEgFvfMZydYc6KXHlU1h5h89myChm22+TtinfvPkG0RMEgWD7wNOfCIJewE55n3TZkdiG4Jf7nNQRizwj+O4xK+MdBv093K6ndo5Seo62JIFZJ/SrJM80xUFEvS/ZaHdoeoq6L3Hre4hmgizX2NhRJHGDjmt+uyuYCNiMBN/9fUxnG0TZ8LC6g0kUTQZBtyQ7TUiPE56v/zO1gM4lSHOHu0nHs6zEHd/BebCyo8OSV57ZwnFSOlyskCua9b9WVAvHyQvL3WiMUw2lnHGntYgetJvw9OAuwXKBW7zgpJ8R9ANWVkPMuwG5lxxlljurJ3Sx5TAKeBBvoXxN3b7hqAnASvpWMliJUG2A3wvZr0a4nmHw7JSuyFB5Srq/irr/ApUuiMIa9buIxsDB3Zq5eoiRGWhBXx8TqBIRNpThGs6lhIXm2dkZibPMNgakGjqpecUK96oA1TT8vvyOzxtD1Mb8ev6M3r3XpOMFk4FCvEwwVcjes5iBb0k7SXa6yWL6jsZNSR856srgS8nKwTaHdxryoWO16iHiCBUKRn6OkBo6j/p6hx/GhpMs4Fn5S8xgiQlKuueGgYQ4hv1fRqy8TUkPE77JIuTqLmpwjG5CGrWCp88vD98QCIVRIb9T21R9RZt5qN5wd7/P3aMe9db3NH5C7SdMH79jcpSxttun0+/wocPHkoN7mqKNqKuEB0GJSg02M7xrO4Y7A9ZfjWk+fUfcBfSXCWrJ+wP/w462SOhMQ+cKlF6hjgry5IQzv8qg8dwpWnoaTrM1Xo4eo8VL2jYgL1d5tljSGMmhTRB9h/AC2UiefK4ohefl3PDoZI+oLvBVyWjlIWpgEetH7L1Yp3AJ1ThmsvuWRJZEax2zzW1ClbHVpHw9eE3TeAa765jlEBN2NPf3WX09xZuIo9EzHuc1sq7YKc6IgwVZ2LE58CzLCXU7oG5WmYaHeN2xnowQm1MC6RnubPDtimIaSXDgfYGYV4T/fcFk7FCZZmcwYbU7RVvLXn2f+mGLTBz3Xyt6axAGBl4dYidTbNSxPNhgf/2YXFf0/mWF8q8qmDge/uMaw+KUVJfE/+eEehZRz0Pytymrj5ZEmyXfpA2quUNkh6wNf0v5rqM5s6w+bDnef8rscJN48XvCLUO46Vnf0pQ7Y/J3I07PNINPHNkTz55d4eTtLvnuHn+/OuIwGrMbDpGqord/yuDolPu/KnCHfbq9AYtfvSTcHaBfTPjhQUtbxPh5wp1PXpFXPabzMTrZwdsETJ+tZ3tUJz1mL9ZZ7WKWfsGROGLw5QDyBre3YONeQS76HDUbPD1Yo58VpNsH/LB6RjOz8EZy5xfQToec/H6TKtqni0u6rGY4HSGH4B92PHtnyMuEb+s1wvUFmYHV44gkWqVOCg5HLxm88oSZQP9c8fbIYZuMzGwxfLDE+orpwZxN9xTKmNMDw/ivzvBJyelsSehGSO9xnFIfrmI8tKvHfDIfkKqI5YOQiR8gK8PJzmv0IMH3M+rNO6w0bzBuyVeBY2t6j8gmTFfnFM8HyLnjfviSmXtE4YeUOECgfcXI/R5DiNGKbtOSDCwxIYNvPyPf3Kfuz2iKCtUbI6MQ2mNs7REljN9KlA+xoebt55a43UJ3Gcvg9/TUPTK7yujlCcnKFL1ScHInZHa4ynKWYjdfwt4d5GyV5G/f4F+tonb6fKp/yzu7yrEb87eDHU684dh5hIG1RDBJ4T+//De6fe9jg4nrJq23AaRuAhl+jG0/hW6aSH8s+PUxgeSPWb1yFTB0m1UCN9FVYMtNQetlwe75r9ZXgS8XZV4EIG6y5YMPLgaJl9r8h6vo/phymbyrynie5zog8TZB3ce26+v6zJ+X82p7rvLnxfJctcLgKnDig4yP8cdV9l7Kc6GdnwebrluRcpmNl5XrtrZeR5f58DLw5yaA5WN8eNOYfNG22+T/Me33qjHpIv91eq4Dvi7ju036x/j4Y+g8cHSTLbfRdZ2sizp/Cl0GfP7vptt88PgY+pg+fN049TEUdUMcCudahLB4LMY7ErfAdzW27FB1R+skhY/BV3RC0ThNIxuCMIYkou46nDPYoCDxGToKaLOYlTKmawSNqJiPBa4XYGXA0guEhzXRkvkBbeuwtiBwQwySJRlOKzpCatunJy3CgGsymuECF2hiF9IVAu+hi8Hk0AWOcqNDeI8qHLKs8T7HeYHzIXYcESjLyBRY1VJJQ96+35rhDZSLkHRpiaWCXp849IRJx8mwxBQdjfKYOKJZdfhGEk0r6rrCuA6qDlZqnHI0HlwZo4OM3iB5v22rlTSlJQorekIyr1KEVQgrsZUjdBGpVQzKjlxryAQDWdM5Q+FanHcY3eC1YdB2YD1WSEqRvD9XqZbIpIM0BBnQltB1gA+gjWnRoBXDcoAoNG0eMnYWwoAy6dE2NVVoaCNLr4UUQyga8hNNWNSEGPKkpk4HtGmPaK4I6pqgOsOnISZyEBomSUe/i9EmpmdrKFrUaUfnA1wAMuzoKY2ThplZMug19HSMIeG0CLHK0NmGOmqJpaAfGEqh8FaCEdQbOaWEykn8WYsvwHcCp1qE7ohSg0kEgZIkS8VU5+hBhU4VcdIiECznCf3MEggJKiGadeieIR1IXF3SWc/Mr1ArkLqjkQXeDNBVQlgltCKic47ktCJP+shEI1agaUEoSTyImEiBtCCqlEHoaKmYVgX1nRqfeBJiotbhugpyh446pJaUMkDpDpSjpzr8wmC6mmTQEdQQlJbxNEd4hSehcZJQdkjhGcxWkb0OqyzaJJgwoaKh7UCInEAbtFiSSpBCERcxtZE0oacYxSRVgK48eRwi44BYB8wWhsiDDgU0Hp8oukChkdSxoBl42ghkHKPDPqE19DtBYDzLUUxStgR1TX9UIUQMraLC0lqoW4VaDuliRRFX0EZ4KXD9hpPOkAhL6qHNh1hAiobUdtTGsugs6VGCqBOWaYIPhgS2Q/iWhR/ipIYIkqlDtQ5jPG6rpBEwb1YIQkfoLaKznBJRSEPUn5JLCUvHYLpA+wSvBL3QcGoUgYWxsVQuppEWTUNiI7QR1D7Eth3StqjAIEyJdB7ZeWTqMVrTxhFzmRLqiH4gIVd407Ho54w6CJXHW7CBpXWevAypakdgOnxsWA4UXejphS3zRUhrJX60JIprpAM/DZHrEovl7MSi+4ZeYGjnBZXuYU2M6xWUq5YotUw6T9Z2mM4y14rIKLRxFGlDaEEbQ9jVVLKh0R7d9QnUnDDuSOUqnSzoVEMXL1h2Ha0UrMYNcwFFa4lLx9QXONVg9wb0UkcvWeC9o0kS6r4mmc1hpmmWin4rsZWhWnQcRym21Fgbk5qQpKgIZxXd+AQfOlQ8xI1jXFvj64ZwTZH1Wwa1YWFrmljSrkKvkqAszWqJDiOkkajUE0iwqiMPCyayovOOWgmESvGBxqYloVMoGjwVwxBqKZj5iEXVUjtwVUPrpxSqpdUCd+JQjUClCu8FjdIs+5pe3aCsoyNF1QYrHfnMMO8saMfa0OMiRaQhGEnauKQRNabRtE4iOo+ce/ARuOj9+F23WF9hi5alLkAa2mGFtwHYGHozBl2Fs3DgIetD3CnqMiUpQ5JI44QgjxuM9TT5kFgYPJZiYFC1RXhYifsIbWhFhZ1LvJL4nqPpdRR5SVlrVCNwkUfomqzxTH1CKwLC+AQRapzX1KFDdg1R3mHaMUlfoKRhPp+AWRC4msEmFJ2mRbNWl8i8xreaoi/o4opazekPLXXfUyaQmpbCligDK7MEU0qMMRSyxWcVcqg4mfXfb51mQWkqGqPoXEjXS0mTijQub5wn3RqUus0X/cvoJr6rgvWbVrJcp+u2tl4VbJ8HLD52dcDH0G0Dj6v4f8wqg9uCabcBds7//5f2w0119iHPxQPPL8t/WZ1dBzS8f+TxXuD50BY+yLz6sOvrgJzbAFcX+S5rg5f55SbA9qpDmT8WeLyuf3r/54eif+A5fwPcB90X6eLKpCu3j72viD/8/cGK2/TLq25Hu9g/LgOzzpfzvIzr6uMiePOhrV4Eva6z56pVRrcF867qz+dlnq+rq+r5fH1c1nauGhuuAiwv8891vr6qrFcBbBd1X+fnm9rOjwUkrrL5fL++DUB13Th/1bvqvM3nD+q/TPZtgdbb+uCqMeayceziWHxb8PA29t7Gt7elnwpIAawd3aPrHdFmRxRRgmw6Atsy6RTTk4iT44hCCpaETAl5KluMEsxDQZNKojjFhmscvmtpgpouaXgqU4pRzO69MX/3+wW+XZBzRP3zx2AUZmpZKs+6KvjUzVmIVQoncW1DLQpyscKueIDfKvBFg9+J2Ox2oOlIziK6exMIAkaDAfnOESKAiB5lXrHIPHufCtZ/tyBeGFzjWJg9StGnVfcRP1sh1Dlr5mveTQ6ZO4d5bTBZSJtp3px4/m65YChiXPAYrwsWWcW3j0+oXwRoIVnvehw/dMgl3P2fS95kxzSiYTiHk38XQB+mgyXjk88YByuMf2HglaaZhrzLc+49OCWNS17t3iN2IdI4fFsQ6w3GRtLf+YpvBxPySUya7/Oq0Jw2EgTYVUuUSe6/bvHrjiYIeHH6AHUUoJsO9amCNAAXc8aIJSWRNYwPHKfbEYvVhDsnIWLh0AU8peN1mPEyCTDuBLlSEa42fPq1px/X6HjJfztJ2fRHrAcnfPUziWWMaIbwdYCqlwR+yvTvFFkoGCD4vINuPqQpFZv1O9JTR/JW8Q++RBlHr1ezsRbz7qjg5XzO/yOEqB9go4j/clpjqpy6WnCqTxgEniwymPAxPSfZaCzZr+Cgqnmzt0S9ypEEEPVotKeftKyvLjlN1klmMU93Av7zp9/S9TWDdIunyynLk5AfXg749//HEh04+osY+T9bfNoRrki649cU7YgD8xnJWovr50zH+0y+uYsqMvAes13SmpryhynVZ1vYviIf5sx+6PCVIl0b4bol2VIwKocM1s6oXMF8Z4YdbWPTHkqHRIsT1LQheA3BL4bYYcyyyFj0ZqRBxc+KnMNDTWXg/n9ICWVDsOz42dE7XsgJp37EsSkZj6b0lWXy7RrLL07wo5zEOuYrW+zrCf54xtbQEqdLqmTBSA7RJqMteyxmHTPpeBds8+DQMCob9j7rkyU9Uhvy7fN97s1jhlajxZSzrT7FVsiaazmdLJlOSoxZxwSrSD3mUbTP6KAjnM35p6erTBYz1o7mrD86IGknLOoRJisxcsDSpISnj8i3D5iPdhnnP0P1jqknO3z/wnAHwUM0xd49ZHxAP31FT0Usasmh0Xzy1TZlP+ZwK2Q43Cb0M2o75Y3vY8IWMbBsHXYoa8EYZvcXnFYTDnfv8+/97+hVDp2nfLWREiUtm8n3nIUTkrJme/GWLvwrwkjxqNeSzwMS27LdLXjehdiopt/bJTx+hAliZpEEfktIQRB64npK2BQM9YBsw1AkGa/Te9S5JWzBDR3hqwBEx+mnZzxWU9JGUp+EzEJJhcROO3akIskEw60lr4cxMxkR5I63p5pGGYb33/AwtCRFwvKtJystraj56uSYZw9y1nzJu50ThPprjJpg7wiWn55gk46nP1SYxRkz05FvbLMhKjJreL4tCKcz4qKmDCTvMkGeKraDEWN7yqqxpGsbaN2x9Dn5039k990QWw75q1rwrl4wbSrut5aDJmSx6PH4nz5l9MtXjNb22Fl6ymyEjUfY/1uzqBRHpmGgRrjdim635PWdLcIkIx6E3DmOUPszbHGE/fsZKrlPPHiKGeeYl+/wr/eYjGG80SPbSPmH5Yx2NUfdK/m/vo+YRx1nz6bcyTZJ5zXxScGyypjZBT7YQ0fQNiVVO2Pe/gdcckJ47wci8ymhrFFByVZWcbZY4ajdZP+NBQxwxn56iI8DbBaz+U+WNEqI76xxuqwpfIS941l50VG5kFxvMpSvaRYw+yrlbdKyuur4/OGSZupwQQB3Nd+EbyhmAvfDhLIL6GG597ZExKvQhrgzzfE4R5qc0TvH2fZruh7IiUQcPUMEmva+YKJrrPW87eBnn7TEecT+/1wlUyFB5OhY8FyfstAxyM8ZFEeEpqSI9liedaQ+5dOte3y/+pa8qxj9jxHNowXNpmUnldiDHcQctE1oJxBoePRaU/sNGpWypU6Z6pCliji8Y3mw6xktAuARA/kWmZUcvPkVPfs9vbhm8J9CjouA2ULxd98JSrsgp2K+DGgGJ9j+Cdmz+xwIxTHwqxIapvhgzqcv71DYmkUw57Wt8aMzbFDxar5N5PaJ/B6HS4HxAYGKqFe2OOodc5reDErdevteHMd/mvEv8NX0qon5h+0+8HGTwZtAqesmyR/oNkHnVfw32fWxdFmAfF7eTcHKRftuKu9Vsi8L6m5jw010HfB0WbB0Edg4H+x/+HcT8HC+HDcFhu8Z32/lg8v9cTGQvmqrzPn0i9uBLrPlotyL5Thfxpvq9brg/bZ0myD5w9avy0C/24DTNwEqf9wa+SHT+1px7k+38V2m7zKQ6zLA5yJdLMtltt2mrN77P9syeRNYcjH9Mv03pV8FLlzWBq/KdxkIe97u67a3XZUmxLl6vISuAlHO6/1YYPUiXdYnrvPfbXRdBrRdRhf7/sV2cFXbuPjssudX8d60je/H0lXvhuva2FXv6r8E+HNRx1+CPtiV5/mPlvEfor+iXj+hWj/hnZOoQ0t06EE9QfgFwp9i4oiB84yc43S9pSpT6uWALhohR0v0yimTHzpSMtJwSGOPmQ4ER6uKz1905K1m3yeYZ3fQbUF4dkTU1gwyx8oqfJ9v01Dh9AnB0ZcMQ83muOYbv0vXOIKFJhAbhJEh681ZG2csjeblQhGtGkaR5Z6ydJxRLjpO3xqWo4wkTLkbrnDy6hCspd8PeCceodOA+9sV5fOXqLJiJED2PmUR9vguEDwdf0sgDNPFJutnDVFY4x7NmX/r8Y2mt9HjuUspvCawGjMxpB4+3w14OdllKSxi/y5rZU1fd4weNZSzIUsnebs249nBhEEumbavOR3eodB96hNLfO+UbKXh0SDl+Q8txRw+3Vrh6CSkrgR3siW7XcHc10RZwXbk6AvN4vAJ2ASL5zj7BrNp8Ikn+xdo74EYKh5/M+LwzoTppE9sGpQF1XYMXrxgOompBiE/e92yr8cchz3CO4esn8YMliHffnrKyrxkNOv4oV3HrbQEo5pfHLfkS8Os9JwOV8kYMnA9rMjRE4VeC+gtOlpvqYWhGsxY1YoJIb/7dkRTZniT8Ve/MrRaM+s0O6dTRGSJepbV0zcMuoiRGxEMBbN+wN4wxqgBk9Oahztzqi8qbCRwBAT/oHC2xPRm9H45pllK5j/A1t+eEGYKKfpwFnBUjPlu+YD/4J4T6IJ50jJeS5jrhO9Mn5/9cIIuW+becjr5klR1PG6fs7zTpyk9zdcVkyihXUnY+WJI9t2SeNmSdR1vGKLDiE/GmuV4D905Nt+O8Z9bip7lVddyby9GGcfh6oLFcAXVxdz9HsLwBK1bQhXx+sEIF4f84sRw1nTkjeZ0uUn35BSnLP5/rXI3rEiU51QOOei/wDDnyduIOilwfUf26SrHZHRG8fRwSjkBG8D4hSDYKpGRx/x6i1cPPWcTR994+oucKLdU06eUOqBSgqksiGcBceuIH3yNm2jEQDNRluBwDKcDdpcBTQ9Ez/LL/itKxhTdmObtgOnyiLyeMrj/4P0KMyl4vPUdQjVYadkPE/q1pVd5XpzeJ9hYEK+fYX/TspkN2RiP+K/RHN1Cv1Q8fZNxNF7wdn1KnK9QqZgiCHk020VlHj/SDI4MTg0w4Ri/+x020pjBgP3va8Q4InycsuWWRFVDsGhArtKGNUV6yutygBCeflizdaqw6Yjl2l3G3+3hlaGZCHbP7jE0LZ/4I3bvGqJOsHmoeLN9hzyrKdNXbL00xLMR0dkzTrZ/S4FkMX1A7zOHtJruZcyj9dcEePLZOkW8R9PzlHdXWf2qIGtgMIrxp2t0kWPx+T4H5RwvLBvDkOm/aKyT9H8liP55SH3S8Lz9HWvuIX0ZsxLNeRNXdAQ8rp/SxUuqfsvhE0ijGXSCs++fcOfdPtIt+edfCqLZnKATyPHPEK9KKHPM528YD0fEok/+/QajOy9Je1OC/T7ByQDdRQSfL6mMpiPAbqxy+q2mPLSMH71ADEN0ErLu+sRphZcd//LrCXdjwXrQ4Y6/xVQCWwdE5ZAmMTSxpZAhcdQSJh31tqN7s0a3t4r8VHJYh5zVir/7/DXetpi6Q+8do1lDiHX+235Dt3GK2pzyN7/9OZJTuniPt1/cxckh0vYQ0W8IzyriA8N4GuPGinZDsfd9y1BaNjPPzsYvmeU1i9MT/n7dcBZFfB+kqG/3cVGLmRikAp+nuJMR0caI1UHOvdEBz7Wmqz165nj28j7zTvGd6PibzFF3DS+WOe5vNVEaM2LEXfkGO9WcvthiN+gIrGSrilGbJ4Sqod81/G69T1ArPn3u+SpN8A4elg3lFx2OluBlwZkIqAeK6qkk/T7DVx2LZJdfPOoR6T57J/e5v/caL1u+/2SVopBEeciT3VUOHjVYXbH96og3dkCZeqIv90inDXLpWZ4k2FAQKs99WVGXDqMC9IM7nJ7NqZwherZCVS1xzpKNxtjXA4KZ4HHvOe9ONTMj0Z823CuG9IqAN0cnxMmYKIwZuDNm9/o0Pc3GP71mNtlm2euT772hW29xA0+8WGF1LMhSeHdqcHpEoBM+sS84bsectAPKU0/PWnpYsrCiKhdUbcHygWQwF4xmktUkZm81ZHclpP5fO9fOk3709r2r6LZflT82CLuKLgYpt9X7UwOaf0u6KZD5qXJu81X5tr65Kmi/jG7Ddx0Acx1Ad/H5xRUX17WPj/X3TcDRVTquAi/Or/Y6H9BdBDj+GOh+kPGnsi8LbM/r+1hg6qY+dVHPeV9f1HObdnKTXX8qjz/sqjwPSF1mz3Wg3G188jHPrmsz1/ngx+i/TfpV9XFVntuOozfZcNnzP/oAvL/ZpstkXAW2XkW3Hdf+EuDWB323HW8u8lzVli6rw5vkXyz3jwFornsvf8x4etn49Jf09/m025TzunHy35IKVYDxBEXCcNTRBopWaFwvRfkS5Ry1EYQ+pBYKq5ZYGWJ9hA8FVlmcb0gB5RRVF5N7SVUDCw39EFF5dGGwucZ3AbYJsFZiOo+tIEkqAtviG83SK0wokCNB/7TBdhD4gMIausjRRBqzBN8JgjrElYrWe/IEojpH5JIuTzBbBqM7bFXTKouXlkB6bHuGdj1U1EdmAiEU3o7IE6hVTWYMTR7gvCBaFpSAdZLhWUaaKHziieMW2YxwTtMES+IEYqdxxGAGSByZk8QRiMBxajvqXkPrJUltaVXDMoEmbmgTMF7ifUUtKvA17SLBdxFeauooI1AtUrVUPUfShigPNpshLPhOkrQVC6GpREBSjSjLCoMhEQEeh/OCQMQkpqZpWqrao51AG8c8bmm7ELFUVLHEt4KwEgRdgBYWrStk09AIyyIG10hQGhG+32pI3GCilrnxRGFHHDQczSX92hGXNeVyQCU9le5ATRG+I+4svVoROI+LYB54RBMRnGnEIkTGJdpXlFYRuwRpB0RyThTUJElL1/RAa/JBj7CQmNZQ6I6+0XRtSC4y0rqhswHLIOOeH+E6x7RziApMa1l1JbUJqIkoPYx6I5CaLreoTCADMN6S6CVZJ4gWPQ5GDuM74tUKVfXRNiJsEjIzJTY1aduiexNEGOB8Q5NprOG9v6QmCC3DPsgDjegs/QLyVehCwXI9pu9C8B7rBPHC45eC6SzDjHNULAgbTeEcjTMI+/7DZKwtSbAgTVoa5ajXFb7t463jqMxxsUfLgCIwIDxaKsx4QFF1mEVL5D26MaSFw3QRThlEVhOfFeRNQIskiRW61yJkQxRqKiXohMPUGudCnAxpRYejQdmaetnQRCWt0NRFH+FiomhApSStbHHKUNgM2YGzNbovkFYhHERWIazAOY/OPUYolr0QP6gI6owkH+IiQRBqBlozqwSEDX1ZQQ7GRXQ6oWcP8CLEYih7fWyksElE5io0LVEg8MJQeGi7gH6tcVbgOk9fRDQBLELBHW/QrcFUOX0sxinaKmFcLYmFoc6g6BTGKBqlUUlARAvHgtgJtBK0SqJaRygMcVSR6RZpJF3ZUecOowOkSuiSkC4yONvRNglh45A0eNtirWBqFWkdIr2nVCmyWyI7D4cD8AEqNvTCjnxmab0jGXXvtzQbzZnK6PSCTtR0dUO7CBBtAHoOokVgSWRJZzSuDVgRZ+gIhPA0mUKLAGEVUTBHtDW+MuikRbYFbtFwumhJ44hIJbw7EFQd+NSTjAyt9nTOs2RAWVp819GvQlzXsVCWqInoIoPJDCLu6KTHCsGgSQjSGhUvMbnHuwQZxSRGUCpNlSmmMiJpQqLK4YI5uVfUTpHWI5oSbK5oawGxowsc4YmilFDgWAslUS2JtCCwY2prqVxNTU3fQFhouplFW8M46Ch0TOUUvjRI4ZE+RLU9+v0lHktX1pSNoi5jctGn7ef4qkPMO4gtBAq8Io9rpGhZlx0ntUBaj2498yzGWE8dLUlKT+glOrC0RoIK6HoeH9d46TFr4BdDdBeSiIiimmJwWBwm8vjAE3US5wLsv84l6nkHqkE1BTazeOGR05YAgfIG7zxVrXHaEAhHFGu6SCLbFOsNLjCIFYFfBtjGUY/AFyHKBuigoecsqhOcdREDWxJYWOQpfWPJRIdTHjHQaKdI6wbKEFOFRL7EuDHOBvRaS7zUKJ8yXRmyVJKqtQTDHi7t8JEjSCWiNrjS0s0tUeBIIuj6HSJwJDEkc0vqDYnvyBJDFwUYn6Gzmth4UuOwZUuYB4xkcOM86S8OSn0MmPHh/8tWNXyMrIu8PxZg+TH0U8C1n2LXbYPbm1ZA3MRznfyfAiDehveyL/vXBW43AVXnn10M+K4sl38PdwhxeWB2lX1/5tP3Dzm/muoD6HTZFsQPq2ouK8Mf6cOKwj89q+YiEHPxpr3rQMnrfHiVz27y+3V8N5fxz234I3B38yqn93yXjydX/b6pHFf1l/MHut/UPz+Uw1p7LSh63nfX2X++bi7esvcxY+NVN/Sd572NTy7yny+Lc38EVC/ju8yuq2Rf9ft8+k399CqQ5Dag10W6Cby5rC9crOOLY8F5/ut0XZR/Eei+jq4q/2X6rh0vb7DvvG3X5fkYwOsq2R/zLvzfQW+CI0aLlPF8zMPhgn0Z8U6lqA1Ng8B34N5qWj9mqkes2pcIn2BVClsLvC+h9AyE4tQrXrUKa2NEk6LzVfTPAwazY0S5w+40wLsedIZFFCMbz3jf8OTTN/jCYY4jvvItTRQzX8vYOlEoIxGmx8vwmCpIyMN1olcVysSshBOOZ3PO+oLp/ZT7zwu62jOXA+RoB+ol9Zs5i76jUYoTF+PVaxI9YhT8Fd0jRdX02Js+5Wx0jKpP2Xh+SNHcBS94pE747n6PmU+In6+hv8hQ44ow/Aa9iJGtwDd79ANJ0kaclCB7WwwVrLFHOIypI8330iDXp8Rdx71/cCweLjjegoUHihZfFDh3hKhyrLNUOzl+eBc5HFCnMIj3wM/4bhLxNB0yURnVXNIU769Pj5nT+ICckDv2ASafYbqGnlpH+ApjDYkYsFK/Jpwdsj+NqJuA0inEliZYJOhFxjcblt6iYlC0DA8c4zgn6ZUEbwLyEcxHHq9a5MoYORogv54yWJ+SbBry3YKVtZyVVc/u/3uTeL9m86jifwWb1FZhvMEncwZqibclP89KZu6MY6XYSyXrizF3dzfZ6Xpkcs6GfsN3a/dJ1BqpWiPr1cTRghWfM2PAwbDP/xiu8+//oeDML/i6f8IzH9PJPqfdGmr2A0ak1L27LK1jmhd8tTxhtfKstQXPqh0OhiuU0YAyEGy4MUrkhOoV+oGl9Yojhjxc7tGbZ7TtXU52zojGJU//SnP8cp2mShg8twxlSzBoEMbgRwFNJNgLTsjTlLgOWdERaS0Imo61YcVJIpGt5F4RM1Ml04HhXS/jietDl/BuGvJopyVYGl50G0y2OpLVjsmoJO9m1MsabULcIMCOO4L+c7bTjlYHnG3foXcUwaLj1ZvfsnnHk/QC/iWWPPMVqwiWD+/z9n8Ylm9rttdChvuGdN/zbbxG725FPKoQi5ec5iG2jlhb3EE+OkKvLVjfH7BjHIvOU01T8qBHvh5TpCVRcEosphwdeHTvBKIpRwzZylLuZz2+2pzTiRzrG553W0TveiQHLXe3BbZXUyQdWzLDuCVt3dEcG+a1ZaY8cmzoLSMm+6u4z0/o9RRx0OPg1YCV/oz7m8csyru0yz7uMCWPj3CDBpMUTNeeYl2HMAU/W+3QGZjWUcYFZyrirRyyViakgSELNHfHa5x4wQ9NSVDCwLas5ftIP6SuBzTHE7aC31GsdLy+m7J8uYk2MTaKmeiClWVD+JUiGApKKTkYtKw1DpcZzh7mpPGMoPNEYcyLdxG2F7H6eYgc9ohcSXo6oyjv0xqBrA8JTMlCCp4vO/5D3iPoQr6e9ulXZ+iqpfpfY+LPLf17ni+XI/5Reg5dQ7XlGLwNCW3EbxKLjUA6w+DlEd3Jl0SkbHz2W7IIfOMYuyVn3Zc4kzEO/5HNOytkpJTZkKM6pmo8G/E+zbzALTzpnZRcl8y7mt++K/nZ2pBJ2OflNzl6u6W3VbOaLHjdOA7LkKPpM3w3JTRT/tbd5WXR8qpt+Wy+weGTmundhq2mw5wZmAme1hPcRoUZWcL/rkn6M4LJnCBqsGmKTwf8EHzGZEew/rbD/WLKoQg4aRxP3w7J2wGLxRad26EYlOR3BY9+HXHYWuZ+yn3Zo13xLNYMPrrPmZ3ycv4W1gL6S0d35nGLgsHKktXtKbvj+ywPBPa7Dp94wmZEtLjH02ffgC+pxCnf7g8oVI/d4AnVo1+jli36raN5fIqJegiGvDaHrNHymVaULw2B86yZiN+vTzBZTu/hO1a+dUgnqfoh+2d3CfoZ2/carNjHRC3vhoLu13eImpBURix395mHOc1KQz/tE2tNlDf4xNFEnjqSLA9abGVImwb7ZYqQAZPfnbB43GIix7Hz1DvrqCDEjA1p5glVTHbylL3R99TDnIGOab7tUzSOV49yBk2PtJBIc8AqAaaLOXkBd+WQnpD8Iwnr6RtG60te6hHBhmbTSnr/EtL6lEIIIiE4bhyN6VgbFPSO1zGnfX771/cwz88QR2ds/HIbF1iENjxcrVh8nTN9syQFRkLSC1vqx55s1DFKK3piii8tvgYVZ5yMhlQ9zWT6luHIkyaC188l/ZnkyeLmOdf/T7fvfYys63guBkbXBdQX02/S+THl/BjQ5bY23DYYuch/G4Dmuvw3leG8bz62LVzH/zErTW6y4bbB0k1B1off528Lu8mXf6ZbiH/dBvgniUh5dXnOr/T5QO9/n5fxxx/XbW/8kPZhG9tNAduHtIu8F1c8XKTz/JeBWVcF3ZfxX6XzMiDyMjlX/b6KbgtKXbTpfJ7L6u1iGz0PTJ4HCq+z87ItcteV/8cCxufpOkDlsnqGy/vIe9s/ACQ323IbQO829l8n8yKQeBG4/Clg1GV99uKz695VH1OOi3QbsOi6PNelf+z78Dr6mHLcJv22cq8CIG9LP2X7XvgoZOL7jF3GabMgHTp6fYhepRhVU0cVe4uYNgKXep6WKVokOJmwY4+Ix5r+JCL/dkZVRxRdRhjO8TLFihX+RsFiNGNn7QheDFChQ48amsOI1TbioY2o/+aYWdXj4N0WperQVCQsWfeatOvIygqzHTPzgp2F50m6SWsM+8WMe+0KUhiqYErWSvIk4vVmj/v5GVHpYBGyHy/RdGwbxyvxhG5Fkfxsymi/IZhbxLGhVYaGHvPuEV24j4pgNFqnHLxGi4rNXHAyiWlMhvh+C/1gSaJzNvf2eVklmEDy9GHH8cFTrNdMHnzLyRtNuRTU4v1htlns+eyOoYgUeSd5951nq53QJyUcSvJ6j1YV+IcZJ906ZRMjDhaE2zOSuOX+9z3244om6fhs3fIujJgaRfA7x6BLCH3AUdDgVxuILWIvpRkOsVGPeDeiz5QoWLBzd8r6SczKPKHVQ2aiIJc1KtvAxyCUYfLuLcXQUGaK5vBLBvdnZNtL9s/uM2kNK3XH3sGArcEZa6Mz/qcZIVYKouGC9f/qKNc9+V2Jrj6jOpaUB44sKsnuzUgfzpidxHStwTYdz87uMvQtmcz5p5WIeKmYHGt8L6ExkqoVPE22qHuHnIy/g9E6Jshogj7Ca7r9Oc33e9z9P7dYFJI3zy3p/TW2kpZPwxkvxzPCacz68xWW9zyJ16wuEl49XuDLhP6Lbc7+ukbEC/rNLqNaoiuJnGtePvZ0UUxkJ2QHb3GVpmruobsBbV9y+szy4NdvGKiS7EvL4vfrICD99Aw9uE8nQ6Z1iXdrqEqTvMsZG4v0FQX7HP98hVb1CX67xr37xzjR8uvve6SPz1DSYL4a8vgXhnBieGUL6u8swZnkoRvSflnT9izTl4q4zIg6iM0JcXAHnYS4u9+wm00ofJ/RdwnlsMX0OtLNJea0pD11nH6zxqcyZBgK/uHeGQ8mgpXQsf/PM1QIOgjp8Qm6meG7nHcmI5aOILCUd1u8XsH4Pkeva9bFERM1Y5CtcNKbMo/m3D1K6dIN6nSVQng6t08njvHrm0TvhiR7PZIvT+g3BVnRYmafoniH8q9hcYfTzYCjO5KDdyXDsGYtbYntOjUFBUvK+CGj3SWT18f8sFXSxRE+TMmNQdarhNUm2c9+w3A+Yu3tfQbP3rCXBPw+GJDoPdxxQfuqojv+OWubnic/W+K+W+W4g+e65ZMoIU1qot6UoT3jpAn4ejnkPx5mxElDc3fGd8GnaN9xx+yw143ITMzTNuVt/B2KmrVWcVY/pkxSyi3NQ/8tWlTkQcDL/3tE01rC+ydk021SFbK2Yfif846514TpkAenFca0fJtW9KarxFFA+qUh5iuEWNCokPXn66RliB7UvFlJmHeK5usORgNUEBNXPXp3fiCRp/S/XXDW/oxWJURb/0LvKCZyKdEnG/yw5zlZOlqZ8zmOFdFxJg6pJwITScRMYUYriCBl5bQl8AZpBUW1xskngmbD8ahe4JdTKGqycsj3CzhrNX8/fsDL5YyjquFB/yHhxivIdjn8HwGrG2PG4wH9g4B6ZUo5nLO7qEmrTRI7YvnkK9BbCLFGuPgXZmfbzIp79P8PQVJNiecL9OFdTtbgbNXx+T/HdOUBVbeP3viSYHCE7u1ycHyfQOZkes79l19yKE55E+yyWj4kUHNUcMgbofH9CcHKFo9MRiFKjtUUJxp8V0K7RG944pMB2Yt1Tn/1hsE8YPPFkN8+mdMEFunBhSFCZCjG/CJ5RVB1tGeKb4JtEmV4FJzRvtykTGLOHgesvHpBUwv23QpqtWEsG551Jf+Mocoi4u1VmvKIwISsuPuctDsEomYrlqgfIqxKyD9ZIXj+jq5oOfYxDylBWt4FnhXdImLP2apC5BuISqJnJ6yJjkR74izgaP6Q2kfI8Sky7xF0EQMC3j61dFHHw++m7A8bmlQw6o9YktFaCfmSNX2I9o638y/pb+/Q6+fcbVYpgzOKtuXt77bxFCTe8UuzztmDimZUsXEyxTZ3aJshB/mMwGoi4Rlke5gmwlhNNzKYtEcXBBxVb3BhjCRi7U1HecdQrwn89AneHuL9GTpJudsKJha+Wi9ZnQ4YTnt84wUjPWWk5uwuIgQSheRweXbtPOnWK6X+kiDUT5F7XRD2sRPZqwLdq3huoh/7Rfo2um4K1G6r/zb0Y+vkL6H/puD4NisfLpNzMfj7mGDwpvZ1new/4+XDqilAXASYLv/S/+d6f9yqkI+hq3TfBJ7cpj3ext/n81/HfxlwdhsdN+m/CpA5//uyNnYRuDkv7zydX5F0G1DqMjuuK/Nl9fBT6+0q/vO/r+wj7x+C97zfuXf5CqXLwOeLcn9K3V4m66Ltt/HdVePUVXKu8u9t3lk3ASl/iXfXbemmsfCn6vspdfsx7fanglM/htI+uNKTF+ALMKmlURZisEZgqwSnBD5sIehQXR+fOGxW0ztOiGtBUgtOEQghGQpJTUDoFTGWhSrpfE2vEeROYa2E1uOwdLKmkIYih2UjKC300vfbZdSiowh7dA4aPUd6hQGSyFBaTyOhG3rsaY40ENiILqxAw4oJsLmmsmD7EttmSOdorCVGE3SGoFniG/CNJWpragZYkYII8KnFJw4TdVhSlBHodkHoJMYnLElYyY9JREm/ihFFioslXlVEBrrOM88D6qrFNo4sFNQ+wjjBsnF4mSCdhKSEUCCkQqwoogMJDZyaFt0uSduaZVzgdIsXlrJraFVDGxhmgabwmtaG9BNBkBoUHToPsS14ZRG9Fm87bNHSOfn+7A/VI+obRO6xuSWRLYVoQRp8HOCyGhHU4EOEjCEOEJMGJSCcBQy7El0qmkKR95Y0wsAyIPQBRBKtJHIlQYcNUW3oCwG6oYgKbB1QdQGdSFhmjkBo0jZ6f+uc9wgZ0cOjQosfQlgrkA7XqzmJ5pTSMS/HZKnA2pa2XtBkkiCo6GcgCkvUCFZDRR53tNLSFRInElSh6XmL1Q7dBbg6pVOHoDusjInmGtGBixJE5VCdR4SOJJKEsSJCk40DrBDYeUvd6+gyCHWODJr3dVsPcIlDBJ42jpGmw1uDW+YEJkJXmiCvUbHBBy11IMjKjlTU2GhJpxus86RdQNvFSG0ZCoUQNd50ZGca7RJkDEQldSxppCItLGLpcAZEmoOc4mRM5WKctUhXEQqHWcbQBpTjgp6MiSLPfmBwkULHMIhylApphSZPR8RZhwgE6gwiKSEIaNuE1FfEoqXxBl1XyFZQtRplEzrpmY8FoOh1AaGqscESESiGNsR0HaZzQIenAiBIBMZE5DYgBmgCfJexGCo6YYlmDfGyxqwYzjJPutPinMaKAX7F46TFJAY3ilAhBKqiPRmCl4iwQB5rTGlYuCluGVAIhQtbMJ5QeNLEUfsliVNoAfmypPUG2y/RZR/r4TSKiZqWWtQsx4aDw5isU8gqwPVKtGmJF+37G8qAwzAkTw3CdQhrEV1DRAjLCJlpBCG6SBmEEY2voCxQxQJPRq4yZFwThoIoC6iXDV1nUWdTrBxBEDGqFG0fvJD0lim1lLSBRJoBaWLRUceZalADj44liXbEbUhMwnDUslwKWiw2sMzClsBLNuMa5wOE9QwTSyNb5nSoStPiaIQns47QgUTibYzpt0jl6C8aZjNPpTwqDml0hA0dvb2IVHnaTLJUHTaNkXHIdLhgVXqSOiUflqxIR1ILTGtpFbSxRJ14VNsiXA1W432M9yleQWw6RnmBtw22Nf9f9v6ryZIkS9ADPyXGL3XuHjwiaVUW6e7pnsYSzIrsE37zPkAwOwM0L5KVPHh4OPfLjSrbh+hsxMQ4i8is2YEAR8TFr9lVPXrUlFw9nx4zo2sSfCbQXc3grEK4IalyREpzYloGq0DPJAgp8WlCF+eUrAi2IfOBMu7o+0C/S6Cv6JI3dSiTirIxVIuY9SDwiafrWbLakbWBnDnLhcdXESV9nD8lqA6fBsRco4MkUjErB5G3+NQQNQ3eSs5dxtB1RMKhtcKmLZiIfqkpqWhjzyLVxPMK20naSpLOAlEHzguivEGqkqYWKJujZERfeLwzYDsKIYmkxvsI0UCSeIISdG0Pj0PrQJSPMMsVkbWI1JOHGnxg2uYURiCDIxoopE8IVUxdGdx6Q0gsOEmSNGgdsG1H5wLeStZtRN1EVJGkiFZMfcfSBHrGsrKSVkpmW+LNXNx5vNF01lO7jjo4IjwRjkQ1OJXjQkHrW7x0ONURLxxyrNB5TLTekegI3ygWviG0Bmk8vSJGOYutLeUyI2s8satwJqVxsNSSLnMEEYFIrl0n/ey3772v3MTRv0n+mzpk1zloH7qgvswBuAyivV3eTRb477uj/nba96nTh0SGva++i8DLh5T/bv6rQMJFIOrdqKt3y78JvLosqurt9AKBEsC/HUP417f7+RD+LYLq7WiY66KJLpL3gbLXQdzLIMllMOaizx8iFzmN10XPXSU3HTeXgYrr0l6W/93v3u5LF7Xt22VeZPO7/9/tr+++vfAmNl90/qK+9z5A6O1nof2oQ0r5b0DKWQtKIqREcHVfeXuOuEmE2FV977KxfBWIevf8dRDwQ6LYrutLl313E3B22fW7Tq7qK++C1w8t5yZw6Lrf6PeFcFf97vy3kN01xWQlOTqD20iWKziMHPJ2iz4eoA8HNMOSoBwKg20jqn7HbLzi/tFD9LyE7gx8YCg0W6LgT52iLwT3teN3WyeMS8vH3yt+F3ZpK4GftYRswjQq6dSc7kWGMZbQzbmzHoi9x3UJ35uCJvL4zMJySb8Q7O4pXn3XYYoY+dEah7PnZF2fgf6cVf/3ZKHi02PP75uCsgjI2y0836TuIhYB9ljQNyX9Wc1J53AeEqGYi7t0ZBRhiVozqKwlb/ep20eIKjB4/Q3FIGaZKb7bcUT7M+K6QqkNIt/Hek25MAyMol0FvvrjGr1wTK5bxj3JwWjMipjHPxjWN0eogcQ+WjAnphUJOjb0z0HMA8dPK267hiyW1J8JfBVo5oFv0jn9RBAngseJwJ1HxKuCB8Mhs/EBpW5Y++fbzObn1O2C9TsR9rDDTAKFAJEk2EHOaNCnmp2xjKc8yueIThF8Sr0WobJzInFOJG+zFueM+oqDh9/ADwX+y5w76084bm/zvNsmfPY7/FmGP+qz4T1JE0hqweTT+wxfn3L3qxOivYzAjNPhC6r2NrJLkGWCKF4zbsfcsps0nz6mq9fJpo9Yn02xvSnu4Sndl1v0Bpa9ByX/MfsTzXwLcfQFSXdMZVeclueIvGE90ow/SvG/9wy14tZmjz+uv6Ce5Tx9tkeW5iTxkm5wgI48VBHVaZ+qqzBRRb1+xm9efULbS/nuox12F3Nk3DK513AnVaRCk7Y95psbhGjJ9skL/rBzF5977pWvyHqeruxz/O0u6rMpYugJ6TrZ5AR91pB+Y9lKz0kiEBG0KbS5wgwKbp/PUWrG8ednTGNJKHNupxGvT8YQBPd1RCOn+Lbh42/uMruTUO82TOOvWCR30G3Cr8tnHHc1pQ50d0swzzEu5k+TW2yYKT1dYnuetVcfQ7PGV2s9NhpN0UJYPyX0W1TmeaBXdEFQkVLd+YK2WNKIhs0XlvSWR40kydOCWC+J4wWF8PRnHel8QcI2czvgJAwosyd83MGDsse5myP9lB5zxtEQ5i1+ppE7grNmyqQ7ZqjvcEKfE5vyiZTAgNZL/rS7ZOO4Ze+HBvoTzsQ6r+M9ilczBmGdQbzDfHpKPehoPm9Jtz4jdxWjZsra0w2aQUm99xTxvz7gLJ3y/c7XbH7/OdFOx/bnR6RNIEs1/UcF7vwIrTXKpFTNiipZYYYnbP5pjVW8zuN2j9E8YDZqwi9WfPXDgMjm5NWINDomagPZ6xz5sGSua06bkvGwobPwdZXyH8oXjPwAbx5hP1P4tkfvy23u9wKu8JhKsdQHrLo+h88/Z/C5ZnMoGWzCfplQNkuK0+cMfr3FOC94uF/w9H6Ms33u/Msv+PpXFfMMeD3gV8khebxC3Z8w3kvQqaYqY5pvN7CmR/rvYsQTja0dYdvx2rc4t0JuzZm/eoTXOX/x2TGPI8vES7442eB14ZgLy45ekYQS7cEPdpltLzF6ye7jb+g/HiCeDjjfvsfkQY7brNn5qmXvM0dvD/75sKM/GNDra87z35N+tUW8/xHVwy/xpYWq4SxdsszBJBF3jzdQ+QKKQ3g1JBAjtCS5J8njCZFY8C9Niz16gD24j/x/HFA8PWHzj1OIH5Fv5KRrQ7766hDlA5uqx9peynk85JXaxbt/YGAt95Xiq82OqIoIizFmx+GQiKrmydpLmMaIV0PuyjXKrRGHmx2j381I2yWpOCb9QTMn5rXo0R1bwoYlGkfoHxrSMmJgavZjQbchcQ8ca9+8xKz6PGt3+IRXZEnHrang27WINIr5aNnwpD2lygVf7Y7Zei2JZoJTp9k88ciuZhrOyXY7pA+448AxMZkKfFodsFAVKrOsRR2IB1QmxS0q+u7N3MfkAfLRD+hBYJD8gkV9zKpewNmEXLxCioL9+afkuibqOdJPPOoUurnmpdzA6xlSN1SuZLubksqGegBnLzV20eOXKL59OaRMBO7Ba2aVY1EJfhEveEGfSZzwzWctd54HRvuaeR1x4FfMRUmaLdm1GetKUd4JTE77zJdbdH1w6y+QyRkfPY2J2xiZKxaf1BQvtuD1gK/2vkN5RW5TfpkWdPMZ5bQhTD/haHTC0fiE9Dyl9dCYiGajRsRjhN6+dp303w2UujK65AO/uyrdz717/Pbn65yjq44/tNx35UPqd9GC/W3n96bRHDeRD9HzUxyeyyDHTW4jeddxugo8Xqov8G8uuBDg3mTEh/Cvz6z6r9+8dx0MeDfS5jKQdZkzfpET+z6RG2/b+a7tb0cCfQi0elv3VXV7W+d1YOYiWy8q97oxfJmeD3XKLyr/ojeQvtt2b6d5175363cT+H2TsfCuvnfnh4vE+4CzBu8c1jm0jlAapP4vnxn3IRFa7yOXXcfryr4plHu3z17WH66COx9Sv+vG7Nv63x2T71PedTDo/wjyvoDu55SXvxvi+hbxcEX08jabZc1au+S5mWL7K8J2S6IlfZnS9yMODlPMeYFbCZ49mpDEJakqaVaOfBkRZhV36hkVBV+6MeI4pu5JXn4ETj+FEBAWpL1LQkxf1KhXHXEck21J5GmE6xwdinDfs6ED923ED0MwEZxoKHhNZBVpHbN+B9ql4PikpVdsEqkVVTpHbHT0Us16FDFvO9p5oDkXnH1qmUQZcvUZ96cvcK3jGz/ikTrHFZbHeyuc61BnCnHaw9wuMQPDlxuWvaMx3in8+A/IsUBsDDG7m6x9u89yVXN8EHFqJYn2fJG3RJ2lczlP5tvQrshix2DjE6q5Q586/jK6z1RqbLxic/uQc7vJQu2hSsPZhiBNOj768iUH/cAiC6hthTjxqGnEzvIT0v6UJJmh3Tm56eO7PZ4Hhy1afNHQrlqsgrCmWOy23HaBNR84nyj8KqVzu7g7U8KpRc0dD6Jj5oeCxWzMq4cH3FoWrD8teB49wqsEu6lxDwp8CAy6c9b3PbVY8af1irIV3LKS0bnibO2ced1yaiPKdoKzLWmTUIRjerKgp3rkz0dM845v7z7H7I+Rc0W0POGL384pZcSL7h5Egb42rGMpXlrG+YLeJ69Zz/qUZSARLQl3qO2SH8w+v4pKarPBk6MN7piGgWsZNYJZlmIGnuM7Ecc2JZKGDf1HZKXx8ZCzTPO7OCLpGrJvTjDLmKrveFwbBvVDgoPXzfecjjuaOsO4X8BRRBYvkZHjMDzCrimirRdMDhqYCAa7Nc6UJMKzkSpcGNJKRW+j4Um7y7LKEXFCWCyJdY1ixXlZIxYrbleHZEyp047vHyrc8W1St07/7lMOhzvUqWYvyhi/jhBdwv5v71LNPL7t0CzYz1OMS/nFcUY8G6CdR7lXhK2OerDApJ4n7RmJrfiVbzjez9nvMn45/gK1fYQoZkQH/8DubkKvSPhDbpHpkjg23I7GtKMRx72Mo+Yr4vUh+Vjz8fHXVHsgxoqHwz69J5byleX3dozqG7KB4eHHJcvhJsswYu+Pz8kqy10redL0sKEhjhf01tZoz2PMZMjfFkcc3zF8Mwro360TxIhxyClv77NMPS4z3KuXRLFHRuu4r0bEyjJKap7cm9J1MRzsUP7iW6xt8XVAKkl2KunNBT/seDZ9xG5TUI+XnJmUF/+yxm78moFJePDNL1i1jm7gGd/e5+zBA1goHv4jnN2ZoPWSgUhYuoymaQjdKcEOSWvPxutztg8zGtchVqe4OwXH/ZoXvZdsLxr8pGYy+YFb4QuS2GDjBWlYQw8L5F90LL/t4/dbivQ74rszxMeOjc9uMa9ibNVQdueM9Zgyc/xu7wjKnH6TspZC9ocWj2d1a4/R04YQphxtbrAjpsRRy/d2j5UJyNCwtzZgcuYpa0FxFKNq6DpH8+Iu/fycOKyYvDyhp+6T6Yws/xoZQ1t4vs5fkh1l6EXKK7OJL8bEacZfiRNWBwuOopIvf9niWYfTIZ9uJfTDAVG9QM81M7PiPOn42/oj/CAw2zLEzQQ3XGNV9PF//ZKq2WJlHnAwnpGIE9Lwgto63GYEfcn4nzKWG4bJLybEv48YyIiNu5L6wNGcnDOZ1ch/v4s9rCifr4iOQXUzPAumjzxhuo08u4U+FbDVYj5u6Jselhk+/o7V1wM2dceDOy/RsaQRGdPTHuXuCXKZIc/vo6NjvFjg+J47taM70swWGrPawmhBOThHVQ45KZCzAaP2AOEtPZbkwmM8nLUOe3CfZZvyVQiYYYYvWrAz+GQNuYT48JAzkxJCRitHBHtKogQba+skzQqVBJpEc3J/DEvH7rOKw71D6rjAj+8TZjNk69BGs/MKRFJzsP49fm0E9ZjVJEJpjZcCyxHWD6kdHMvHjOdbbEw1KUc8Vy1t7NhRZ0TPLe1c8Zx1bDojyVpWC7jFBKumPE77LMsVbQfftTvc4pxbZs5X/7xLWFvBTol5miG3BNkwZk0/5Ngec+CmrJeOebVk2QaCOkEfeugUL8ct0izQhxG7rx22W2KsY+/wNvN+R9XvOH18wFRYZj1BVioGyw36ZUHuX2MST5NJnqe/QssZEY+vXSfdGEpdtcN71c7k2/K+O9k3iTq6SO9l5f6Uxej71uWq8+/W7X13sS/bqb5M3nUgb2LjTez4KREyN7X9IrkwGukCh+mizx/ax66z4+r8AQ+I8AZIgeDNA9QvtvU65/R9oyveTXdVFMf7yrsO9kXO9k103PT8+6a9ro1v8vlt+ZC55KZ97F3Qd50979tHbvLdRWl+hIzvyk2uxZt6eJz3OO/w/wpi5SV98KZ23gSgXjU+PwSs3DTNRXP0Tez4qXPyTeTd8fq2/p8yn/8Ue94n3YeAu/9eoFlkHMIonE1olEFbCV3OUM1oPLRNYJgIIifpjMBECuc9Phg6UxFki8WClThvaWSJEzE2RBgEeRKBlCxaidNL0AGVCMS0Be+wKGLnSBT0XcRxa7HKEtYtXixx1tG2QyJdgXeEmcN7jTRQzBryNCMkCSQWMoeRnqkLJMGgnSOXAROtIE9pKMAFggi4JNAgsQqajRiWJXiH61K8aQmNp2kCvlugEkuMR3YBbwPBCGKRIEXKWaOpfIr1jlBXNP0YVCBtO4QWmEhC3CPvHDEenXlwLVJb6tZSm0AwHj3RdCqm7keIUJP2Y3Id4+Yjgm6QkSMuErK6Jg0CXxmIFUFHTFSNsgZtDTEeJ2O86uHFkoKUOEQ0ukFIR7ABP40IdY4LGQthMaFDWks3N4QOlPCYzlM5iJCoLsfHDjNsUJVEJIaQtBQNdImnyx1xk2BImIuU2Buk1zgG1N0K4Tq0E/ikQ9qcbBLjTU0wEtFkZM5BAkoHdO2JgcQIlusr6gJWKoOQksqYcaLJ54LWJrhkiJdga0U9HyCSBEfGsrK4KGBSQZlANaggF+ggEFNBWChsiBE4pFAoldNqQbASudKIzBFrRW+2hrIZIrRI3+KSFtdECBtDkARiasaEJEKkAtKYODXoLjCagTV9Qu1RcU3TamxQyBiC68BLzDJgkxYRG1adJbWOyAlc6IgSjUshxAZbCowRmDVPqIFaocQQP4txXlOupZDVb2579JBYj7RgVEwwGhMcJAl5IollIJ0o4tqSdjW9uGMaEhorWeqcNERENtClLVUJ1IJmAInqoK3wqyVG5LQuoenFGOFxoWE1FMhBR5Z3uG6XSreIXkvpMuJMI2PFKTNKW1J1EUoq1pEMnMS1M0xrCK2h6k8xucIEQa/MmUcG1XdEeZ+gBd7PiZMGlUl8UeNmis55WixSTnG0LH1O1VeoWaC/MrgihVigpGV4NCNqFX6VU6yfE5TgTAdCL2ZVapaN54HUKJGgGLDUE0K/o0hblvQRHaQnBjYbrI5o3YC0bUmEJWxAL3J46+j5jsSOCSIhKzrwBbaLqYzEhoCPHdW6ZRU5XARxpimLgjbSLOUpLh2CCchSEKoIISVZBNYYQoBFb0EaRSilsaknKxsi4Wm3MuaHKbQC2Ytp5zWddHSbC4R36FbijwUIhc81c+fR6YCeiYkXFpl4XN9wvohwcYSNIs5VjUoCSaSIVMEygkVU065aaByy0yxzg1QgnES3DdQdXjmk7lBxDVGEE4pGGkwQ+JOUqLNESUOgj4k62rzDaolNLJGoaSqHlZ6QCUyICFGD0wHbZLSNwDaCjeAgbXCDBTr2oCRGj1A4WtExEQ2hSVGyQfc7qkjgco+MWpJG43TMfJQgRIsrPHXmSJaayAaCq1nVA0QvoHLHtLbUBlIbaNZSAhq8IWnCmyj7WNMTfSphCdKSBbDK0vQqZOOJO09WW7oBBCcwK8GiD+SgFdB6ZNuRiA6p3kQMyM7QtQnCQ9GraDqBF45oUNK6HOs8HQE56NCRR809Uo2wrWDhNK41KK2IBzV16ZEuMEznpKXFeYdranK7AVJTDSxdq5AEhukKrzKaWKDOHXlo0JGm7iCpNFJoah2hqgoasCKQpxmp1kyLllgbRGIJVUyoEkKtqUNOqybE0jD2BtF2lM5SEROcRdsGVfSxkaM1jjCR+KglDAJpVRKEJkSSzkpy60htIKQRJnYY0TC0GSEL6MTSHXXUqafRittiSaRjQpSSGolSgFQMdYdpA669Hjm9V6TUn2Nx91N3x6/bqb/qVpSL8rxvpMP7ykUw7yY2/BTn5bLrchPH7Crn6iJH4YOiiG4o1znaN7mOF9l3nc03ddouvf5vlx9466YlwY/POX8377sPtr4oKudt298+vqw+l7XlVRFE717XD7kGl+l+X7muL15l97s23wTQXlbGjw/zvqiM9+3v7zvmrrL9ukiWd4HJ2w9bv6qMt89dFZV2WR/13v/r34/94H8//64N79NProsmvA7k/RQo9j5l/reWd9vuJlGXb5+/aM57ewy//ZbJt8t4t+1uMsY+dDPjqvxXzTfvGw34U2x9V24P5kyaHSbzbSbxE5zqEfyAXw0VJ6ea14cpO+uC89rzqqzpb/cRekErTogOMmxsqVNPuogxdExEyVL+Cu0lfdExuBWznEmmzxLYWqGGnmgkYHKE62BGhHKOrNGoruCl2SdsGQafeex3SyarIfPmHlvr+yRlhX9iOBc7SNORvjhE3LuN0gnZ0GL7E2pvOC8T7h825NoQjzp6bgn9Aat7I/LfCbRu4ZcVR+ceqzX6M5j9i8UvEnh+h5B/gw8NNR1US3JnebhSYEtWPoPVDr3gkUbx1asA3CFixaD9ku5BgdGS7psaNwiYkWD4Ucb6swRdd0yKI9a3Orw3fHlQwnSLrO5x63CH+q6mGtfI7BW3wxp9P+Dr+CGtPEHrhkFvjc38mKhe8f03r2jaLaTY4Hxcc7uaM65m7IURx36NediE/Bt2l5usVwOeL7/GZoG5FLSvwAmBjxJeLROyyhDVhpc/TCm2V+TbDfUPA85GfY7HA8ZtRNObYtbOWfv7HkebnmrDkRpBmgoyLdio1pikfb7vFXzMMUEOaNWQqv4aJyxBwrQvSKsU8c2Q/Yev0NUW2+d3WF/7PepWjBgPiP7nhFHwRMWMr3+7xIt1mvYOZmjRcY+x3YI/zun6KWf3N4lHX+EOUuThp/i7I6yuMeUppx8pzosE6wrQp6w38Og8xX5rcM0AJXeQ+lsSLYm6EcSS0MQsux2ST/cZdTn9x58TuQaha3Z6kmVkyLqWQdNyvJvQFQUn8hO2sjOkFlTNXbb2DumvDLe+i/mh2cEKi8t/oGskxsNcdeTZC6IWTk8z0s8MvvA8Xyj+XeQZBMWpdiSbtyHXrNsTJqsWYVo6OSTfT4hnKZhdTmNJFYN86hndrUgHC8wycHvS4FrB74YZSVyhQosZ53zWJYxnMetPNNu5pJ972p2WrVaQ65hnu/DAQ89JFvd6LL6yqFNL7/+WslU7+rOS6asjrNjC5n34f6/jmxlNt+L5nVtsMmXL1zw+2ibKS+QvSrARSgWE7PjevETOFsjTmLOPPuLOkebWKRSrb6iXOZNFzuv8CDkQyO0I/8df0ltvuLVTwf0tKvWKVfwDQ2MIShGk5eTVOrNkxnQ84YudYyq7zllzm6qI2ZlPebg8YaJ+gd4oyW8fkn39mMVqixP/MR/xjLNexz/1NNvZR7SVgHjJ5qQHScr5WsLzdkGRNdxRcHJ6Qjjt4HxGu4wxdosqbPLr7mtGuSH8ps/OqkUEg+45bLZOyCOy9R7iqxhxromHMfpujR9qot11pkeSDrg1HvEkW2da1yyef8mdW/cougE828Ie7+IOVojmGza2B7SDiFe3Z2wnfaTNGOkx8dkzjA68+HxIvr9FurSsfzdjluSYviHox9Buos5TRmcl/vMNFhuSiTBDMwABAABJREFULxcrtkcfsZmNyR7vo7cNnWz47nea3k6EHGWcNHN2N2vSJCE93uOH7IgjPad3Yln5JW0KYgSc5YSFxsgObyXKx9w6r9Cfz7BbC76qCvxgE/Qu8pngznjCeFTyXM+JdIvQHft6wGZUsWanLP6gSB5U5HfOSI97NKMhzajHsHB0ryrckxo+rWDskFnN4NMSN9/jbPaQTV5TFh2HQ4/6U0o8gv6dmhcDRZ1oUq3Y/SZjMha8fNgwjkqMqJmYhtH5ALVyhNJzljiaRHIWpzx+DIXp2JFn7K/9Aru2Quzsw9cRIuojN3YpRgbLDGsPuL1c0sSWo3EJ05icmj255Nt70JQJfpUg9gSjFO4FyVmYkAbPR7JiQkSwgbgJvHiaojLB3mcNx6YixDW9T885/90jbBmYR6+I7xkSG8i/7hixx4KCA+HZPIWsrYl3XnJy7FBR4O7uc5qXLW0NyRR2TYJM4dW9c+pnBXEnuN9f8WI9o7Ex468L8r0Os+n49mibe4cNA+BxNOSB3SeVK5JowV2xS6x7/GFtjhw5Eim5+6RhNRtSN32k6nEsYxax4PO1BYdnLSerQC37xGdHxIuSbgBC1sRCEJ1G6Ic10WjF1j8Hpg8d5Xog+ipm0zg2lefsfo8mbrGq4l6Z0pMlta1YEvABFI57vOBouM3xaMzauUYEiQ6Su9ETjiZrHB3funad9MFv3/svlPwMkVJX6b3JQvGq3d93F8dX7aT/OXeI33bkLnPw3uc2mps6wDcBRhfJu9f0IgflojzX6XzXpqug1kXnbtpG1znWFx3/KJeBqLf/3pZ3nwf1to4fz4c3J//3dG8+/BfpfnTSr+sTl4Gmq/rPZe399lv73tX59ufr2vyi8f4hkVPvK5eBgctu53u7Da+DrW8f/whSLupDN4Eq143tD4HNF7X7VcD5x7cv/giELrLpKnB3FZS6qizn3L/1ISnlv5X9NpS6ydz3dtq3y7rMhh9tfh9gdR3ce/fczwFaf055H2D+ITov6xc/J5S6Kex73znpOh3XrTWWy+W1+i6TjVGf1oxo7Qg5Dmw0CzabBT7ZRNiGYCteqV3UuCUa19Qv13HM8dEEO9jEqxVBTVCFojcJDA893qdYNaLT67h8n9xoRnWO/2hF1SQszvoUzQvSYEmVov7kFrXVlJPAnjwgGSn0bo/HXy7wK03W9limnmTgWN8ynLyE0DkSDI8Ga4TCMRmuOH7Zp21inEuJvUermjg9pzP3IVgkrwhegxKQBrodA0GgThJY3sUbQW1P+GxDkgtDs5hjxBqhFyE+drjv5uilZRhpkpBTqpQvszVYaURwyP4cfXuADAL/5Yzt+JRCd0Q65cBtsfKaLpyRpwYROeYRZGswSOAXlWB2tkFTKRAvWIUhnS/QFKjtY1zacrJ/B00g0h3F7j7LVtEgYM/TezokPulR+jV8fEbQc1ANe0gGIWK/28VFE5yeU+mOzXKHfjviVXGMHBboJCd5VjC6M6O3PmfyuwUzuUett/hUnLK4VVFutjw6TDhY9TisUj6qv2eqRszVOn9phxwIw77s+O1aQ7M2YD7s8fr7vyfkFjXWDHsP4bjBH86Rf2NYP9lm+8ltWrWkVh2V7hC/DETJCs2UZ98K1ooxd7d2kHVLxZKZmDF1nkgKCq04GO4hp5rihSAbjIhGhnhzye39deqs4Wj7lFERcGcZ5Xdr+DvHDKuUW/t7fPfXR4TCMXKKcFgTyoJQ3ub26CVlBz+cjhn/RpP3OnrMWL3OMMT49YSRe0ZtBY/rXYr5jJHR3PO7yEcz6kJyINapm0Cuaj4dHBB/DV3QHH4xZv0oQbqW6egpo0QhEEwakG2CqhKygwH+k5qVbvjTV+dsmnXStI//fEzbpaiVYfvxU9wvY+RY0l94unpBHQyHmxl7T6E/SyH/Jbp3SpeXfDPUJHGGtBGzP8LHPGNdTJnJDbCbEPq4NGYszkjjOa8+X9A93cCdZKT95/S1QUeSx1v3GIUBGZono+/YXAXWK1ClI6o1eM33nyYMjgsGJwld9ZJZ1LHILP7+knUXMTYJkyJjxYjG9slfHTIYW3rjwKvzPmYpEaXkt2yhezPc4IyJM8SnkuhQ8r+0x+S3LBv3BPrv/hIbgem3ZNJiNwPmtmcjWuJaSV1FNCIniSy9pGa5qBhONdsnCc/rnLq3wGyccPv1R/hBwuqeZGN2TFpZoqXgy0e7pL3A7aJkVs5o9zPaP2wx/H+9pu3g/PuCInqJXkuQH91iEHmM6ZiWK+7LHnbZ8PrFEa4Q1P0RZzsP+e2LFCMXfLX3PcPv7zPSlvufPqY7+wtCB4Svcft7rKKcZ59qPvOHjKuW7EXMcbOGlQnFUOI2nuBDizhc47tcMFMa44b0lwmDruFB9w1uM8Il0LU1m2wi2yH7h9tE6yvatZJvPznm4deSbJrycviAeu8xqpjwUS1Q5QDVRiR2jtjoEYqYxgj0i3Pk1NDoR9RlS93VnPOSxu0howF/9ekxh3nExMe4f+7zsDhnI13yvDLYzzaxW+vU/7CDGzxB58f8+sUDXhcdk17DZxvnHOg+Zy7lzj8cUO0JVnua5Xgb3Xri0lB8vyLuNojDmHbt90z7gXmqUc/W2Igl60lg9vqcec+xGACzB9wNGfdlxLcPnyKlJAkxs9zQnGq6A83uZzNyqUl8xn5yG386Rb46YGVuo+OaNJtS3o4ZG83eUlNWLYue5XzTED8G4TRojRg0BBfwtUCEHVzU0qXnbE5uEbqI2gZkdAohAjOmXH9GISLumF2a9oA6apn3HW6xx6AH9+7NKR/3qGrNHEmVpISBQt2R2NogG0E8i1hbPSdrLb12yJPNmrLw+KFEdxpRJ4jTEYNwQhECozDmWT3DSbg1HJGUc+q44fGjGvUqRlWSVHuWqYcM1jcEQxEICF6ikE83Yd6nkwW5nyMxlEnGfX/CIK2pPs5pE491Gl5ukw6XxKIl/t7TBUOTGE4/regaBy6wVaSUh552GkiEpeqP6dIc7Qy7bUEvSJ7sPsFM+rBIuGvPKUeeug/ZWFEdD2nmBemeo7+Y0StrNqIdHDWdaJmHiKUTlE6g/AY674gzw3Y3RNIANf/44uWV66Sf/ZlS7xsp8Ha6993pfncxedWi+Cqd737/oREOP0Uu2qX+8fgmZb5r92XX7jqn+Lpd9stsugmwukzHuza8m+aqer8PRHzXxsscrbdteR8H61p5O18I/0UE1VXg5iZQ4t20H2rvZUDq3TSXjb13j68DUjcBo9elu2q8/5Qy3z6+LNLkou+uguk3gVc3+f4quaxP3NTR/7H86/rSdWP9bbj1Y3TNj58vA2E3temnjpOr8t30mv/U34DL5tWfo80vS3NV37yJ/us2CC6C5O9bn5uA8LfTXjS2LrLj7eO37f9v1d6JDbjQYWSJ8DEuBNogqZUlDpYoBCIXE1tDZg1VL6A7SWwjZjohvIndJzQF0hgSX2NpEMEAgnmIyWNPnja0bUZcKZKqw8aeLrxZ7JlgaCWsMkHmY1Ib4NyQdgUdYFND3vOonqLpFah8igTSLqGrHVYE6iRClg7dBpzQJMJAiKibMcZLomDphZplP8FHEVIn9DQIJzEyp+lFBG/p25osS8i8IJI9aqvpDLSdpXYZiTDkacm8iiiDZDRYIFyMC5L5IEJ3luCgGSWUUUIIjrisqIslVsQMZh6pJC7SiJCBnGNVwyQCkgbtY2qrqaTD+JqNOZilxLUxYrnCxxInArHvEboWGyxaKgzgPDTEqNgikxrhwMUeg6dbKowSOAWul2ATgTEGVE3SfxPxlMYxaedRS3AykKYNcbKkmUlsraBRVMoSXEdaKxqZ06Ix3lGFJV3w+OCYlx6V1uSJpbCK1gqMifBlgcXR9T3RosC0YOI5pRJUSrKKFEGvyFygqHpEixi6lFZ1uNDS4nFENIMGbxXJIiUqIpDgMoPoT4gzRV/GxPMM6yTRVo/4rKWapsy6HoPeK5QSxKkjleAwEFa0qUOFiDw4DBHeG7IwZdnGuDQwKDwiskTOodqGXAZk0AyIqZeWlYdmJLGrlMoIFpFgULQU2mCNppKW1iuaeR+iFh135Mqz8inCKQatpZIFNtbU2YootODfvGmxVUCk6FYxvSCIvGMWr+jHOUn65k2Xcw8LA/VSYZ1DqECaeNpYY2XEYFZSrUkaGUjihlVjCV6h1wTGWrztiI2iTTo61WHmfaglsbH0moCRGVWs6asVmRNEPiKzLXkVkc01nV/hrMaHiDYI6CRx7RBKAR5rOiKXkpiMvMtog8Tmni6tKL2gVyUkQhLOK6RPkCrjxHv6wVNYWIiI2EiSStJGaxQsyW1Jkwi8MiBW6HlGFEvSkSQfGFak1Kog1pqAYNV4pDJIrUAqmp7CZQmJ6NPYBm0cAyNRZYRfCdqVI5/EpFagBYh5iTWS1cDTUxnOtrTLBU5LiDXUEltmBJ/QGVioCOU7+hG0UcDHLVE6o0wKfFuTH3m6ecUiNhwvWpIQ0Eqj6NFITy0MXUiI//V6V3qEMClKCkTcIZcdeINVjlhqejIgWBFnJZFoaOoKHUeQSTo80+jNmy3jaU0UzfC+htOCRNQkuWXhNBAhtcIUNfHMkqwkafA0ztAGydL12LRDCuMRKgIn8U4S0hGp9MTRkjZ1RD6mbxTNUKIjDUoTlMVWArcIDNdWTDPJShbM647GS5zLafoO72M0GrmeI1WLrCxulCB8h3OGptVEEnRimOaCoBISm1OLIcGsUH7Jsm9oZYpockK8oMJxLnJi6/FIOicwwhBVjry2ZHhUC2Ep0H2LtxKpM5QzaG2IM4dMLZFOaFwPN1/inQMFPi7QjSWpK0RusCahKfskScAHhzCeBIFLFG1PIhYSLQPZ0GAUaB+QziB6CT4JVEWD6FJaEShXAh8bvBE08wTXjwlS488VgQrhAiJS+DjQBcXU9tDOkpkW25QIo/FNoFlJsrVAh6OZuDe/FwIaC7aQ2EzS09AVHgK4VUTkWnAO0wvULicI/Sai1FuUrFgvJJVv6bAMIvnmTXoB/BxclGFc8ubWw7ZCykAvNNQeGitZrWKEN8TKkwygPEtwKKQPRE0BLsbqEiMi2khh+gJ3nqDrHtGoRuQtPrXU8xRlBD1lmLsOWkGoUgbjHtYpOquY5wHnHdo7XNTRZQ6behZVIBUdiaiuXSf9LFDq516cf2i+i3b4r9J/2UL7Jo7jzwmlfm6n+kPyXuak3DSy46Z1eNfRuMqpv4ndb8tF7XhVBMZFOj+kvu/qvwnE48e++ta5HyNLhBAopf6LOlxk69vRWVLKfzu+KRj8Me9FTvlFzv9lny/67t3+8L59+93r+67eq3T+WKer2vwqGHTVGHkXbF41B111XS+6de6iaJPL5Kbw8bq2veg6v+vU3+Q6XpTmx3NKqWthxkW23nQev0j+HHP2TSJqrpsT3weO3VSuGos3hcPvU9Z1Y/uy/nVR2ov0X2Tn+/wWvy+wvKm8zwbIRbJnDOd6hY8aaGFuCs5YQ+y+Rq8E8TThgZdE846wXHD4F+vkM8H6YcwiRDgjCTWE17fRYU4mDlkFTxwgs5Lz4Rp+MEf1z6l+94jQLOnzihdDCE6R1Jr44DWm6CEHW6jFGHFe4p5PyMPH2MwxGU/4q49XVCrnh3ad3uiMsVDcqXocNpZZlXK22OGW+QEjao5JucUMEzKe24e4+BmpXjCKFct1i81j4t6Iu9Ma6RIO9vbo5IqIFbe8xduStirI1CNqewrtErE/pzRf0OWS9u5XPHvs8KLilxvn6NCjDAl/2swJz08JDuTHO0yigomRuP1z1K0Jfa341dOE5Z2MZZyzfLVLs/ieZlUxEbC7U5FElhfLDJE3JK4i+V3FZLLBKkT0w2NkASpLiE8+QS4neFkR7oNVNTLuoFvDjSxuzaLbQBcVVD5nebSEXo1Yc4h0m2k/YppZROcYhJJN2+B7JX7a0RxaJknE7s6UtfU5v/+XXyCqmGiy5MBOSUzDelCU6TatWmHFAU+mKzrdx+kh3y/g7mrC/Vclyg85rTUnC828iWAzhp2C7ss1ZLHEbz1mVRQ0vR5Nr8AfHzM4HRMdPSATBfVqxQ8nZ8xG56zpMXfUp5TxK+pVn9cne2ytn9HKlmnecvfWMXm1hnjyEcvTho4Y7R/ifveMuouZ5j22ohUJBtt3rKmW2s5Zrc443FujMC3j4xktMWno+CtxwP/3u5R6XdP/LKIanaBnjt1vBe3D++h0zGfpBv/U7HOaG/hNzPLrmHBgSeqS+3/TUijL/HnCV1ZT24y1r8e0f/kHonxKdqD5LunjQ8S/X9TIW5tUI8uR+Bd2uz4JmtHDnGbRo6py9L7mF96TSMf/MnJ8EgRxFxOGPU76ltNVQ/QHELFDrhns7Y4D16euIj7+7jEvP95kNUy5nZ3wdCV5GVL+5pclq5mhXC7pn99htjmlzqYcP/93jM4OGDUzev01vu8KzhrJ//jyn6iaEWXoMfqoJTpWtKdwfqdFF3OChPP5I3rNHK86VvfvUjZQth09M8aeDXDnfXQEo40z8vFr/pTEZIdb9E9GxOH/Q/pojfjhLf74ynA7ktyPC56aW3gxR8XniI8+YZAdsxle8f1ORMUxnfyWraMH9E/WyOyY+a8mmDbFTsfc2UpYdB2Hq5JfNivEMua0Xqf9m2OkUkT1Lk/aF6wFyydTiJ9/yspqTnTH+E8d2VgRP0hZvMg5i2qO7z6ls3t0ZeB0eUosRgid4meOyeGQnhWsq5RXWcyoV/GLjwP2zDH3HT485+C2IzkWPPjfIr5yZ5ymhn1tGT80xHGEKtcwuxOE6Vh7tY7oNll5eC2G7HnQ6YrJvZeMv7SINub4TsLetCPWLfpRx3I2p5l2HO17hiEQcs3rrZS2SykqwV+vXtKsT+mCwP39x2R/m9AfAv9goR3QmcDTbp9H047k3DEPJfMB1FrTnG0zkhIxtKjuGESM1znVrY+4tXrByJ2yMhnxvqa31PQ/XyDTgNEpqxKW05jwTPD5F4/xbpNleZ9/sk8p7CaJXef35h6b4ow9PUX+Yo/i/JRkvmSSbNDp5Ru4N+pjRYVP9pncF/TaTTbqWxzdj4iPX5Ge1dSfS+z5NvL4Nm737znLT5mlkk/r20w9HDnL8Psla16xEaU41aOcSGbPBJuiQaSCkI/owgnFmmHrrkPUhkXIeZ0O8OIEH1lE4bHDHdKwZG01ZzuWTHyP781tbtt9nF8x9R3ZsESOHIOdhKMfDHEc2N7xWBOI2oZY7DPZe0ATdyhewzClXlhePPWkuxarIrplCkMBNsB34GwNWYu8vaS877BNRvV0xKNZgT5fMg3PielokdRUzLZaSgzdGYjU4ZE8na9Iv9igGDvuiqe82LK0qaY3SQmdxJcd7VlJKTfweohNFcP6CcPoiLt7I762K8rQ8ZEW+HKdplrj9Q8CI8c4mUAwTCcQB8GnAo4CTFuJ+GGDOF4Q9Tr0nQHOJ1ibkK6PSVcNflVSujPOH0w42pEQCaTKENEIuxvTi07I3JIXj7e5tzth486Ef144lt2A0owRtseyill1KWEwo1dIejnEvQOWKmIlYvY5Iqkakrq9fp0Vbrgqu+r2vQsV/8QF3IeUc1OgcJWOd8//XIv5i3Rf5mxflOa6N4v9VLnIOf3x+Cr73tVxGQC6LN9VUOqmoOfd9Belvciuy44vq/OP8Oei+rwvdLkISnyoA/dj+ZdBuKtg0tt5f/z+MiBxnSN+Ecy4ri43cSDfHScXgZLLgMpFad6Gd++252X539d5vQ5MXjXn/ChX3RJ6Hdy4bCw4567M//YtfVcBwPcBSDeFFNdd4+vm94v64U11v6/cBND+3GXexJZ35SaQ86f8Vl/3+3tRH7pJeX8OePd22TfRcdEcs1qtPrjs0RcJYa5h8WYvMDee3AbOBgI7VPiRJpUadW6Q55bl3Y+IVgviyTlleEDSX1KMJ4zFPeKZQZ0ueXzniEQLhsSE0TahXBHOTjmdPKKnSjazY165Abqw9NdbzOIWzrQYc46xt5CuQ/tzuKWg8chjw6N8RBCBRagRDzyVDZyfenYR1CHlFSMSEUPWYscTUnePQS24PVny7e45nezIagubdwgmEPaPCNEuykAyO6OQoIkRrKPCAY3oOI5i7lYb4FKeq4hufIIoOrJhjDpdEkqPaTPuuBG5yDBRir91higqUtnR+ohVJXj6vWHvUcogg/RoxrnfZhUVrLY1fn9B0pZ8+miBOr6FXSYc2qc0icKmErFuCScpvoqwg5ThuiNNHOG8ZpFF1KlGFJpw5ojnkk9P13nd98yTjq3Zc6pbGfUwoTn26NaijKdpM8RIIXuBoT/Hl+t406d4cEjzOsOcJIx2T2malKZJcS7gcokoBL/Zm9O6hJVNOcoEG6JhjYbvraM73MIfbhJcy4M7Ux7cnXJgFMujPuV+n2E4R/cTxDjjeTyBroeqxzjbEUIGIqf45EuC8niX8NEfClax4HgNmt0JhU0Yr4bcSgpM51iWDcUvF6izHPHVBoO/TqlWmtMnEafUjNcaHt1bsv93HZGLWR8MOMkzopFjvFvzjd4nEYL7DHhWvXn49naqGSUe76BsJEehIQ0t992So6JH6wYwv82d5BDiwFkxJG3OiZYJyet7PE0aRFJzv5hA2yBEiiju8nIgaY2j/3zFXv+MLGlwqeP0uE+Nwtxt2Ty+Q9RCmX7NbLCLiAvuhBjz9JTaGl79akzfaGRrmJ3s86go6KcZ896I4ycHVM2S9NcRoyDp+YTN+halXbBoWr5/FRPdTkmzwK3vX3F8a5e6GHHvRcTktqftWe59P8dtz6l7jj8d/pJB2VE0Fbp9jRoIdO7JzCHDoClEjI9HnA4Mi8wyOtGITUkYwux1h9c5Pk4R6+fY5zkc9Lj7YBMhU5zQTIoJiyCojGDv+wn9RUFcZfzH8f9KMbjNqPeQw1LzcH3Kx5tT/tP+Z2yUB9xqn/PdR/8OGa/IxBl7BxadOOgZ/vH8HLfqE6822bvTx2cNXbqknxfYM0/zwlL7HZrxhHrvOX4CcRzIB4G+HZGcCZIXgWT4MWduweP6Gb+9N0RElhUla1+NCa6hzk8o/zKhJmJxkuDEx4R4hS++Q51+TiQ0+aCGIgIbEFNDlK7RiJYTfwAbc4ol3P4yZ3Vf4eMEUY6ZdA1JrHi00eNlsGg6PtUrnkxPWNQa29wnlRPyvGP3jiL+k4epou4GTLYN3bBD7ZZM3Ywwc2z8XZ+TuKMqAu6+ZrSxx9hmfPL3DV8NF5zk0GS7fDo4pvArXnzVMI6G9HXCSAZOd0fUSSD/4Q+Ye2vQ69HbjzgeKMrC0c+OGH0H8Vxx9FdbdN/NCecdm1/sYROHdIY73x5RbmpW44Sn0R7bpWS98vRWZ3zXJhzZlN8UI8K6ph0ovl3CHbti1yxhvk+XtVSx5+uDTW7dtmztWf7U3mLXluyaJfvPJ5hME7KEvdNdJrZm4kt21Jz5Ws75eh9vHGrZkpQtv70/pk5aprLi9ElNHgpGcshWnbNolpzWE5okJx55sg1Hd75DnnUMh0u+f+JpGUK0xd36G8rCcLSmEAefENmSlANs3pAaRb9MGd2LWESGfSrS45xRothdE5hXNctewtHDMdvfHRFKKG3GenoHKR2WUw7vdahGsvEsxmVz8Bk0d9iPHUY2RH7GLVORZoFwS3M099QypRtvsfnsGNk0LKOAAFwM5RBSuYtoU9yJxd85JZUd915KXm1s08SConnNql8QOXi0v2RfDSmFJBIz4m2F6Ge06V16q2eoqmF1fgerzohFxSNrCbc1LopZfTPmZKukHArk4CP87BSWDdnpGm3xGnTJ7XKTyXpDnUPR3SefLEjLkl60pNoNlIXg9JsxMl8gcoMZ7CKyJUKVyOOOLT2gJwt+OCvQYYFSJc0Dw/DIks0E0y8+ZmsWGM86npdPGG3CYCw4fdkhtxLEesTBYc16JtksFH/4+6sfgfCz374HV0cL/NxylSPyc+m76QL5Jovt93HC3k1zVVTCTXVcZsv7QIMPLfem0Uo/pn0fx/squHVRedc5J1ed/ykRHFfJVTDsMmh4kY7r7Lqqj9/Uof5zjuv3gcRXRWm8K2+DsuvA22Vg6qc61NeluahfXgaZ3p17bhohcpNxdRHkucl8cVHat8u8DEj/FDDy7pj5cwMp4L+ae/5c5VwlP6WfXZTmQ9rgffLedPxcpe+iuf59bLzMhstA5tt5fmr7ygRc5nHGEQmgEjgrER3QxQSbEEY1qnFEVQBXIlyNchYKT0gDPgoY5RBaEIixQSG8oxEdQ2Npg2ceCRh1KCeJ/AAi0FJTdIqy84Q2QBdBCJigaMgZ+Ra8xPqcxSpD0uKkwa361MFShZIqFHgdk2eOqIpw1mM6gc0kLjhCskA6i0DgkgRdOqjALmJ8avAhgJT0m4DyGicyEAqpBTIV1IVEOE1SJ9ioJcgWtUwhDjjhqQgshMEHQdpYrNfgEnS5wsiAbyWFDVCndELjtaNZBnzXMaoCXksUCabsY1YZpoxwPiFRmgxByB21EjgkLvdo50nrgAsxhQvozlLjibqYzGnidIEMKXSSNBNYI3FLReoUNtI4FYhnLV5liBAjej2MlrQYgrK0QuDR9GygEYoqiknD/M0zU4yiE4omimmilKRoENZjjMMNBWEqQAjScYtNHHMjicyb266M9/SjCoUgdBm6qJFtQtKAkC2dEjSxJFJv3oIqO0salrRJDKMU1RXYVrDqOsqwgVYd+ajC+xTZSuKmZnESsSKw6De05ZJWdDSypS4ctpE0naUZehoJ1iqUs2RakiWSrEpQAWLXsWwzbJB0nafnBVrBLJEEL5AiwhU9rAh4LGUN631J6jyuLFHDQCjAZhKxEHj3pls7oSDyuH6NMw5jBW3IaKWhw+AXgrqrMUFj9QYEiTaeXpPRdgkyBNatwSQdVhnSOBA1oBqJKxOyhUAjcHmBqjpk6+lmDqMFBk0zSpFpBNoj8hz6GnpAEgjOEuqOKBhqE1G3MWMqvIBGwdqoJS80sYb5PBDHAR0FskbQjlLmGeRJeKMr9QxySRNp2iSCKCKOJSoFmRpc8DgriFcBbyWlFbh+oA6ORliGaz0ilSGsRvgZtlpQT0pEVuECNBQkyeTNWzNdgXInCBthuwGRmyO1QhWKsnUkSUsRl8QlSOsJqcVOO7wz+MhST2KMUtSdZkdq7MpzunLkw45KOjQSpxt87FmJQJZFpMYxFAqzqrGpJ1nL6coIYQXRpKLCEoJGlRHatZjgKEOgpw1CSHQ3woeAEoEoLUh6EhFHZDKhOnRIK+icJJftm1s4Vx3LKrBynqSoqeuAMEBpaOgTSPB1TEWJkYaRyXHNgtB4sjQhbzWsLG7SglQYFVENK2oSrA308zk1FTY0RGsVfjnElpok1HTrNasEdBaRJhodCdpQUmURq1wQVhoZKZKBxiUCmRSIJKPJYlRuENZSVY55B6WTjHzHII5JI8nCFHR0CL0EF2F8Qhs0eexI6oAqI9qkJegYFRJoJba2dHWLTlsSo0nqHpGfgO8I3hKMofMxJRG2loTOIW1FqNaJQkqSGVZJRucErvTkPkWgKINj5hpsZEkiwczy5g2JzjHqC7SHeupoGwnBkdkKHwIuSHCagVnhaWhST9SBNpY0VKxkRksgsQprFY0MlLal8IKolTAP2EZigbIQrDclSkLIFFlr0a0gC4p5G+OEROglulUE2SHjmqA8DnCNx/qAwyJNiQ9v7Ovo00sDceoQWYecK5wRtIMOejESyLKaXluBEVQykNSe3EoiUpzyGOlRKJS36K5BizleGkwUqEJDZiKikDFjDk4jZURPeOa6odUO7JIsrhE9S9nGBCmJlEeuN4jIIYxAzEtEF5BoEhfhAnilGK5pGiswTUAT4xMImcPWCY2KEEohRY3RhjbxqDTgtcYJhRELBJAEy0g7eiaQrBSdHJB7T9Y5si6QBUjd9eu/G0OpixbeN43kePfzZbp/irzvgvG6Mt+NTPo5bIQPc1yuc7quioy5Tu+HOtlXLdLfB2hcFkFyFQx4H7h1lQ2XOfVX9fGLHnR9WfkX2X0RFLnKxquu87sRRO/aeVnad22+DIRdJZelvyncfB+AexV8+SmQ6LJ+dJFz+iH2X2bHZeMJ/uu3Lv4o77bndeDlR5vfbe+bzMM/91x9XeTYRWVeBQpvMtf9OUDRTQDMdeX9VLjx5wRfl82/Nx1jV12fm4Cdm84JH3oNLrPhqk20m0L6m8gdA2ep5zzz9CRUJwPOqj4ZE5hnsByz3j9lmDl66x0z9YzMB9atoPyoo3UNTVUy8Q19Ixg7jz5+8/rvuYC1XoMdGeYPJFus6B8PiJ4/oLv/DWmV03u6R+e/pyGlFHvcpqFCccQma8cllYh5lfZYNhYpBDKKaJ9tIURHHFmOzD2yIezeWdD72rGsFE/3N8k+7/BRyYtsjjtIiJKE5HaO/eYIW6XU6gFr5RNCoZjevU/+vCatJUrGaCWIo4SevsWTdQe+49F+4InwhDpw/9Dw7BHUa6Du1pxSM20Dg9eO+fwBdjIkrha0o5YIx20pOFnuMrUjRsUGpn5FXE347Mk69uNAmSZ8/YctYhQCT802D/qC9ZGjCJZvzZDSakT8kuwQhquEaPRLzMkLWnvGq43A9nKXfpdR7j6jK/vgE9LPJfGzBF4V9GXO4UcwXTf0Tx7TtkM6tYF5OMarEwiHVNNAaAPaw/hMUd1LmG+m8NUC1VmEszxZZJioh1c5H+eBs1XDy4VH3VegLSQV408PKE/huz9G/NqsgQ+0NPR64KWnMx1xHRhVNTvlhGR7wtFWzPPdgnjpWDtK2HzeI3DOMgFGGerv7tCZhpVeMO0P2Nwy3N0VHC7GyOU5mXvG/pdTujuS8NvA+B/O8aQ8621QPahpTzRPXg0Z/A8vcC6nenGX/2HwglGvI05KRuU6Ue3ZOK743+otnHFsN0fcNo5mW/P4b9e4Ne0Y4lBFIAhBXSaU+2vozxdI1TJNjvCb27RZzpMq4Z5bEJrAy9MKJ3NE7vA7jurAYkrFYrnLy/vPwXd8/LsNpg+mtMMM8i/YXX7FoFwgz9bxbodIWr74Ycn+wxnLooYhpPsRepYSr8YUoyPcmuW1f0Dv5CXFWcX5THC+vUU51gw+XaC0RgWJiu5ishVNfEr8V6CftdjXHqV6HNcZ50byN/6IHxrF1Hv+9t93qLrAzBPOzo8434hZFBl3as/C7nBqxkQbr7D5ElTHZw/G9EyEMxFleIBfm+OzBSd7K6JjS3wa2HzykIVsqfOaZ/9jDecKfRbzt7d2qZsB05XjxHzL8rhl/2nA/0+HHMyGvDz6hLvRfyJyW5j2AcvqnOUyZXo24tF5S7zdR95f5w9Hz1nzFbfjlvgHRV1Y5g9btv/uCWEp6c7HfPMqoexGLNUmWfKUM7Pk22rFeHXKQCQ8sLfxp69p1mK6vS2e3+kxrmsedAb9/Ag9CshHkvDKkE0s22eBbz9WCJPTe5UQqafYUYl42LKpF3g9JM7vs3A5mQ8Ms4zaCFTUsrE2oX29w7JVPFst+Th5SrwyHP+ww8pu4IaB3m8rmj+OoTY07Xcs21s4MUDRsuIc7Qx78y+o9k+xTcNoXbIxzXGtYfrynBfHitNhTPbbJeLZgFHl2QzfcQQ0qWT0q5TD7weIk5hi+YT5gWNRCKLhkO1BRJLAf5Yt5BIdJUz+/hbT+z3E7Rgpau4NY4aR5PH6jG0nSLuIlzZiElqsa/gP5yvae3usNjd5urVNHZ4T2kOe/88vWK226AZrPPrEUpz28bOU8/+7oJhskZ7torOGo/I1R/szxvfOSU530Edb+IcHZFhiK3mVaZp2iGz7vJIGOTtEL44JZp30TkT/vuRbHPZVh3hq+LXImalTDqPXvF5v2MpTbmUjXv+QUZUdS1Pz8S8rlsclL58t0HlO3wfW2obXsaLRETKLuSf2WWjL817g4YkgchIj4OWyIu00e/OEo9BnKVoWYcWj0EctFFvzhtNE04489lZH9ewFKo6ob/UYHKVEpUEyY2JvU0YGUzxjvNgkQtACh1ohPHAK7Y5BBEv8yhK1FhdSum6Lrc2OLLcsVcdi1VGLFeHjU2R2F2yPbuMF26cn9AX8cBdu7c/plymeu4ToFagKupT0MCLzAS2es78dKNNAMnrFaHYbaXs8HkyRiw0K3+M3YkrPedyqoz19yt6uJRlGfDXwRAcabTTzX8/xPyiSY1hrv6XmNqVYZ0vs0Z9Dz1l2P3/N48Oak/OO0VlLncYYsUZa7jCTc87VkpQF4rbFb3tQglW0xTL0CbMfqGeeVSm4e08QppLuSLH84hGJPSZvj9jNYrKZQB9cv0668e17WZYB779YfTfPhUb8TMDnfeSi0PyrbpG7ibP956zHT1nM/zmczA/Re1V0xdv6LnI6bxKlcZnei2DQ+9p2mbN2Vb/40Qn6EDD1dt6L8r+d7rLyL6rX23383QiCi+p9md6LgNaPz8F61/6L5H360EVpfoSDV8l1oOaiPnVZWe+m+ylRPldBqZ+i493vLwNsl8llYPHtdvxQCHgVEPsQh//dMXBZ/72ovX8K1LhI/7vfX7eB8N8rlPpRPgT8XqULbhYp9z7ricsA2mXpL7LpKjsvk6q6/kGdl8n/c5SyHwa8Dn3y5AzZOETtsblGDnL0MON2sSSagDiBM5ZEaxBvCI6eaxrbo6PP9sMz3AKaI8nIGsqgmATFXVVj8oxFf0S30mjbkrqKNJ2TmDFpcwcRHzH3ikPT4+NHC0LaspAN3QtJ0+ZUYYw0KcVgwfrtl5y+KOiaFOd67AaHU5JZGnFrdITKAiYrWB71aKmoewcU55skLpDFc6pqmzp45tEZPQshjqnX+/zifEnfxajkFtX2M4ypaZ9pjr7IQSbsfJ/RCo/F0Jo3b2pyQnMoErZFRh4sujvkcHSHKtfI/iu8WEMETdyt6B8VSAvnW2fsnhnSBiYqZSMxSAFPm5TdoSDKPY+TluRsj7iK6fEd/c37EI/4/vWMR3bJwDueJzuM+4dE2YzHOeweRqxVMfKLES9fCRZLxxd/fcpxKZnXMUPxAD05RdUz5FbMeblGWefcDi9YCEdFYK1q6W0mJGsZL+wW2XJGslpwWoMPIxAFrL3EjSSiF/MX5w9o9QmL9JRXg12KlzXDlytkFlgMPct+4NMnmtlQcrYm+av9nNK2nPuKTDtWg3Xm421k9hpXWdxckPMAuhTfKrL6n6jXU8rbm/z6uwmtzznTY2JzSL5m6N8KHB38NaWtKOUr5INd0C0hnPPxqzN0U9C5XY5+O6PzDncKam+ToBXOOrIspn8e2PrGMbu9hc8NOjsj+8MOTao5+dxxPz0iNw162lFPG2QbU5hN3L2S0sDhk4x8PIZxS3P3FeNuk8gnSB/IogWRlKSM+eduzkJ29Pueu/MtZID9/hFr1RBlUlY2RWw7dKbohz6r2WPiScsX39xltXVEnTYsbZ/F2hZBwOjFt6ybj4iSPstfTinmilBLXtSa2coTOsenYsnBxw3TgWf5/Rpr/Sm93JOOPmEmPJXy+H6LOo9IV55PwmOWc09ZKeZ6l/REo+vA7IvXxAq08JR+zoa+Q1+vMR0c0jusyWcdzf1ArsakDMhsQzstqeuOp59ug/Ao59l0ip5dkrkV52qENAMwBV9FB/TnEWvLiN3tU87UBsdymyxfkKwOiZdHVHc/p6GjMRV3vkmINgL6tiefT3n6QvLNE82/66WkwiG9oTLrTLZmnNw5ZO2Pv2bkGtaiU37XRnRkSNVj/c5jkuCJ2ggp94iXOclpxu+1QPQs4/Wa8eF3mJ5hcVtz6+kOqidwDzseqwC2z6De5Sh+hrMluqppEgFWEK/g0+XHSJcz9ZLBLYuLF8x4wUJ9gRMxyi/YHYzIEoiSFd3vDcxLtD9g/75GSMXdk5Qn0TqV1ujU0mUNgRK1es2W+wWIguNoTiRzZBRBP6b3xz8hqxXlvW2sSclbyy/n+xxUCXUakf02YvL9Or7N2PtNIKk1IljmG4eISUZowQ1PCVmKkRFH85iNwSa5K6j/k6PeeUY7XFGKTxF9jcoC43iCXGmiJuJ+NwTzktZP+dNgGzU9JlnO2K0lvSwhiiKOz2EmNiijnOKj7xGHgnCmmaW77NUj1lzGN397gDaSqNSsvjR4NYeoJBO32N3QbIw9//D6e/TWLvH2LbpO4/c73GGL/7RERh4VBO0fhkTRiriY0211ZG6TfrNL+loy7x9wNn4B55+wni3YGR7zdD8hJAPiwZBfVq+oG895pej5moXXnLiMLVVQbzVMHixIf7/N0Ag2tOGIGW2eYsZjmtogQkkkpohZ/uY3PbJ8JNewXcfJckqld/Gxg3zOg7KlDZpXqkD1VwgTI2drJP4cqyOW+Sa7a4rElHD0msNRRJIIHiaC70NL0wmSWYwKAeULYnuPZuMZNqsIuUIeKnyQNNuSvZGlaC3pdy2vu4xKSELfkHQgBHQ5FLJD+MCqTNnp1ohjzezjOdHrErk0OA/GaEwqqb+wGFOgOsXWWcms76kRuGc9Pt0TrPUU0zrheOhY5QaRzhm+WiddJizXX9NV93F2nWS7ZmN2Tn+1wLUGv+shD6RfxtR7PapBwesn64hwghYT1rua+W7BajNH9jO2DhoGs5YnHy/YPe2xdZ5BMsOuLK4F++geuqzQy4qFGLEqJGUhmP7p2yvXSe99+96fA7xctwP+54I9P8cC/0Ntu2n9fi4bf6oj9iFO801B0kWO888VPfe2s3NdVNJ1dv5c+W7qyF7nHF7l6F8VTfZT+9Rlem7qHN4kUuwqUPZ2/3gXPlzm9F5lz01svuj8VdEfV/WHn2M8vu93N9V9U9B3Xf0usul9xuF18j5A8udMe1Get/NeB6Het43+W0Co/5ZlXgXCbwKaLoKjN9kwuqyc69L+nCIb0METB/smVD8EVCTxRYpIANlSC41xAtVCmguE8nghEKUitppYRYRSITtDKiwhUeBAOUeZGUgSlJZY3YFoMKokilIaoel8x5rwaAJSNXjVQOiQnaFWYKVAdwoXG1xkMOTEAURwtL7DJTU2KEydYXuAAasdthJYKTF5wOkMFxy2dsjcEWlIEokuPR6HbBqaoiPykLcdVZfQeIdJK1zVh6AprSdVDqU8Zijx0xjnInSe443DYHAFZN4iW1jGkjiLEVJT4yicQ9qAxhIyhZeg2pamfbO5IEWDzmPivqDIAs2swXpPlvYRmUdGJcp4hI8QQoJZgDUIC0kN0ho8AeEdxJ6QO1ZBU6eSRkvEakkuA4lK6TlHEjdYEShOYprIUGuDywQyl+hUUi88UWtImxY1HKJrgWoMWkdUytCJlsUKfJLgZEHcOSQdNmpJmwEyFcgUpGoIKIxPmfVSKmspXUDJESZLMVlHnCripSWaG3RmqXTLKoaizZAix6uUeKPBtBrXglMWi8CsUjI5x+cdXaZJfY6wAoLC+CFeFHidI/wCpQxqaDFOgLDoaI4rd2lrzYpAJTXKC5JVD1UsUGmMcgOaIkKVjmgGZhmhTIT0CtFYIifQKCoT453Apzlda8EHtJZUlSfSArUmiJeS3GpSJwhdjFUCoxNc3cObhFXPkymPxFIHhxE1QhtmvSWVDDROs6odnRAIKTArR5k74szgwxKhC6SMiU49kY1BQDwypPGKTDV0UUqk37z5sXYCGWliGTjrINcROnWcLhMS7ShSQVUH4qhDS4P0Fq8kTkBOTN4JUhcI6Zs3CQo6RNOnSzKcTPHzgDeWIANpXSODQHlBVAlEErCJxHWa0ILoDIM4kPoG1TV46dAiUPiAXAkcMXUvQ09KIuFxIRDaGOksWliCAlko4vWEmdRE1iLajuAdzjq0CTTNCusdWihq5QheUtgMazRp7OgVipmSCKnJfYYz58SJJ48lXZHQaEVTx1RSEUuLCA0dGcKBbxp03KIiR5SltHGJMoGiUTRJjO4iss6iFxEqVgwSixbQxI7FYEbrUqJSk1dQAyKWxCpGl2/egpcMJaOqQXWChTOEUAI1YeVp+guCMtRtw1BotIVlcBgtCb2IZc+ReY/oYO5SpIE4BMqmh0k1Mg5IYQlkiBDRq4BGY4zmKAxZF4pcSM5bjWkMbWgYD3NMImgkFC7BOI80jmEXaEqJrxXtImCdpVItzbAl6WJUPWDSN8guUCw7zMqSxIZICrTpYRJH1xe0E4FzgIT43IIXeGMpejWtlRjXY9g6ovWWLjEkXY6uUuKlposrpKqQcU1jFGnqKZJAIxaYztH5iDz2REriA6wkdElA90GUGSqqEDgKYpzTiBYWpaPTAbOmiM8DkoBRniSNEHS0C0sZSQoBmfBYG2iloktz/KJGhAYTQ58OLyI6nWODxQhLpzwiJAgT8GWHEhEygGsdcZbhfUIVUnIsWnpcbAkavAskISKzAa0DFtB1ijYQRMDGguBBWUflO5zrUHWMDgGCQlaKVLy51XDZptQoXBQYZFDbDEOgS2YUbSAyEZHr0cqAUYbWC9JOotuIlhTjK4JvGTaapTUYZ1gkBpMKhIyIxzkqAx0FerbmTCRgE4rznF4jiJ1jZSKCN3hWhG5FzeLNCzwqSa+GNIJmvUPQkSwjRmEBwSJQiMRDpxGzlLSzCAF28CYQoQNKKTBJH9vVeGtIywpbWnwl8crQpTGljK5dJ/138fa9n1vP+5Z1WfTEu+mviqz4kKiTnyLvq/PntOF9I6Suy3NZ/p8jouRtPVeBmssiod5Od9Wu/kW2vv0Q7Zva/W4k0/vcUvI2hLsuWuXdet8ElFyU/20d70LAq/S8+/mq63mRzssA3UU23CSC5SLQ9XZZV7XBRbDsMsBzHWj80OiPm8C9m7bxRdfhfcDxZWPpp8CZi+y8TM9Vtv05fqs+tA3/jyDXjcs/Rxk/lnPZfHvdb8RN9L+b98+18fW22BCI/ZwBM04jCLqPYIC8naPqErcseTHeINeOHi2D2wLXQffa0/k9BiKwHlq+fb3Fup9zN5zzw26Gdy29pmRySxKnjjxeoZgTLS3FWeBs/Ra2AxYT1s+nRCEQRZp62uBbRTVNaHYqdNzSW82Zj6CUQ+rjW+xWNZldUvGSkwGAJlkmhOM1Vh4OQ0UsFSFV0ECZFTTaU5mY0fYJeT9F57dID/exiwY3C7z6zJMZz60/lezPxjR5Tnx3H/tqDFXKuV+wNzgnHzj6eyOe1RG1jRncS5mcPsWKEn1X8/EPFWoS8aeDiOKjgEpbquNzFk1EqjI25TqLHUFpLB99f8ZLrZkrhQC6vI8exOxGCw7yU1oko0e/oTFPaat9oigCMwIXs+1foycgAuwAijcwzpwf4fvgNhVP3BChe4Bi/voJq50HJLt7jH/3B/q3V6QbMf3j37BID3HDE063JdZm9Ooc/eKANrS4CKKP1yleTCnKY/rrtzmIlxyGFd9UK2gSZLPDTvyUZWSZjgUPy3XiVUY2jennr1mtevj5iK//ogRhwGZM1edk/pyhe826jklEILIdJnvK2cCz6jvuLO4zyfos13JWu4rZqeHk+RKxvs6w6yPmY7bu/RPjVDDWI/Q/SmShEA81j9uHMEjpfRyjJqdopVBFxFlbIWxNGp0y+rZA6D7VJz1KGxhPIh6+2OT53/4j1sZsf/05baxZNBntpEfTrpNFCdFYkvhjNIrF2h6TocUVCWn5ERP/5paXpJ/CP2kQEfyHiPHJFjsLgVYBF1vaHJLoIWcnAmstrZwSRXNc1PEax56ZoxLHt595zMFDxDSnmB7BJytc4ZjZhnLtlChfMPhqSdheIUVMcrbHJ8KTZRqxsce6bMho6H12itQ7+DBkfubo5ZAkgtNpDJHFRI5/PrrL53uO2xuGT/+04Hx9Sj1Y8XnRUrFOZ3uMngdiO0NGFes7v2DaVxyLiN7ZHU63YTkM3H46Yrg7pLdh+OjVE1QdEK1g2SZUm452pEn+cZPjbsmZOuKL/6ljtSiZVxXDfMy4FWwsPV9/c8xyT1Df3Wb3y+e4eh3vdlneWdFFiqQukPOaaHONWx/v8sM3p1gnQIA/mXEna/i1injuvkZkPfzOGkW5pE/GXZHwL4+38WsJGw+HmHRGNTCc7dR0q68Z24L74RFf/nKbeZNSnq1ztluzzikfnZ4Tuw0cLa06ZLwoKETBmhD8YU3SqyJ+XQ35ZxUR9Ws+i4/g6TaRjinu3oIKFmLOk7WXLJ9GiFnOo7nnpBhgNofo+5vc+8/nRKEj/UvJ/X95zbQs+eOaI37mSVoYKcXxb/apiPFfjdldf8JAw3m1yYs7MauxRA1bHvBm4+Af1ToPTEzUpezPttB3luTpHFk95lB9jBc5vzqtWR7coa7GnJys2Nucsp601EeKbu2QaOC485f3mSmFqwvu/l3BdGuFLRw7y4zF+YDlKuaP/oygDT4OmPY5dnGX2u+x+O0JHBi6Y8tB1HJnfcVWYWn/ZY/9jyXnn4L6jw3SO7Roufvla5rQw+ic/DdnHJ/t0J2u84l6SmVbFlXgnntIsi9QL0/5ducQEVpU6qm/+ZzxnSkP7pxQicCRv82h+YTdI8MiWE6ocVlMkgf6I0mIDalzKCvYFXusVobZdMqTVGA3HOFexdo/BCSONOqIdgXJCtKvPU+3V9jI0IoF+rVHdxmdjWA+QzpPEiesty11P+Voa4PV4Qucd9g0I+oiXIhoTYIYSTQVaXPMre4BrdO8FA2pEMRxQ3/0nNN2SF1FbDBgazmjrQ3PTCBeblMEQROfEQaBzllWyzkIhzSCaCIBgcCTnDdERwnWRzwLKUkypzfo2P3I8uKrMVUlQc8wZ6DqiJ66w1n+mFYsyJ7k9FuFFTkn4g5ZeEavmXP3m8BLHZglgvkaJANJ1ovobW6Q0EFoiM0ccZShZgUfzfpoTvCUtJMexFOsPGH3sOV4E45yQRJHyEOLOPd8/7eS8fcVo1c1v5DHtIyp1YjX2wvMLEKeRqyHF8wf7nK0t0WYTJmsKubGYfYe4c7m+DAjP5/RtW+erXVXHBDkgOCG166T/iwPOv855M+9SPw5nKLLHKL/S/58ctlu+k1vxXpX14eU9e7xVQDifeXHPD++Be3tst6NBvop/e86R+0m9btO103yvp3uIhB1GWj6KXJTR/Y6+HpRW9y0vu9z/a9KexM4clH02FV96O1bI6+CEpeB+qvqdZm8L2h4n7H7/2/5KZFx/2eV9x1Xl0HK/176AMAr50iFYEMqtpIhNJZQnzM/P2dV9VitxkTNhNAUNHLIPHWkTpPZmCgcsBo55hsS92KXSR+qzcCWWKHnnrBSVGqL3ixh70TThpoFQ85Zxy8TRG4I48DL8z1sJOmGisHcIHuO4rcOGxvczNNVGtHsIFJDKF5wNttBkiF1Skg8QQQaGpZ7pwidMRAj2rjElwKx/xG7HOKShpONjvODOyA8NnvJzmgPNj12+xD7MmdVxjwLjm1xjGoV5ctPKP0MMzrB3e04f+1ZzmLSaYLdUMSpYc0/o2u2MSFhVDsOeiU2bUjyFaNZQ0KMuvuA2TNL6SxmPaM7PUUtLGfhIW1aQdQSqgpenCNfQSIdd9otap/z/PeHqMiQoLjXGc4H57xOJY4hYuqJa8ejpEJ7gQG+LR0mk0ilGLZr9PYT1ELyLLtPfr4kOzxh6hz+QMOJYG6fULd9fHmPW/uPWawa9iuwbcbGVs5oDdoXrxlGCfnH63ynTmlsCt0GvfI1g2FGMSw4GDwgW2nW5oLDvResJYH7SjL5rqE0bx4avTFtaSuoZgXd2BPFhkxXzBY1JoXuLwXeGowQeKF5+WBAr2f4tXpFdljgJophFRitjvH9isVGYPM4xZo+c7tHff9bRJYRRTsMfnlIbxpY/8eIea+mkw2db9B1ilobkH7yG/zWOYU/5TZT/lRoapFz1G0yZAshSkLxB17OLFGAnQ3FkmNUUtCON9H6FrVRHCrH7kyRTSXRmaKIUnTcIssDXjzcxCUxayLh1actfinYe9Zj/f5rzHDBSTLj3tka6VLSTeekVURtE+YH25SDW5giwHbHjp2R6zPUg5ojcUaFJvzNRyx6Di0tG5mlO49RjWLtlwI919TB8af0S3onhqQFqVpOOWElVshsi1Uc0M7wEfvYF7u4SZ+imiBHc461oXT3mUtHJRQvjiuSyQjV5Tz91Qu2n++ydjwi/Offs313wO2NdfysxJsZsq65LR8wcUtedhX3+48IdYMrWyJyjuanvGqmaNUh1i2iB189GeO1h3s1G99L/P+Pvf9+siPX8jzBD5Srq0OTQZ0688mq7hrRY7tja7b/9pqtVU9PqddPpmZSBkPeuNol1P7AyrU0LkWQmfnqTdseszBeugMHBw44HOeL7wHEHCXXdDvXGa4UB7+LPN6Zsacy3t9IZnct07lm9uce+x+22GpBdXKM3B+wdSLY/i4ihlNc5vm6J5hPfsmin7PZN3w0fMjyOOH3XyVstgyM5zxTDwlf3iUMwN1ew/o93LqlXD2lLPv0vOXD1QVffHyEkZH+5oDt6Q3abE288R3vnbyP1QXHO4Gb7SOUgrNbApVeEmaOo889s56jKBzvs+Hy/Iz1LDLTI66PT8lVzvHTm/h9h/Ar3P/7CQ9aTyIFd/+ccXEtY5kXhGzA9dsnDFtDdvEZ16uvWMmWP7435Bu/hTYK94Fk7/SU6w+g6m7hMkcnWkx1SrwVSXTCZ/ch9ytM0qA3I4w9hRCQqWdtGzbJgjsffcP0YctiLbi9d42Y5bQ28m//tWa7HzhIFXLiML0Gp5a401NG6W3y7TEP4ob9smMrSMZ7+8y7SFnOkHKB7XrMqyE37YTSTPl6sGC4taC7NJiFYuvDlsFawdrwYP0e2Z6n2OrgLEJ2gb+94P7DikaP6ZIBt/wzGAfavsKdfoi/ViLvrrnTu6TfdDRfpSS9grzNyLuOp58+gmlN9tSy13xAcpyipruc+siimDAdjBAfPqO/adm79JThNmssq3LN2Z0ew0XCx9OUh1tLCtWxP5ccVCl13/DtFrR2TWg88UlNIjcU/cB4u0fvaSStEszjhDUplo4oIuXOY4RXJBvDw80+xD7EnGeHFdG3pNOKiz0HCmIXcaYjTzwgSAQENKFTjPGooKnbLbpuioob+qKlXO7QSkEtLrHZLgbJfrNgMZjQIkirC5wTdHOD/pOl2KpIRin7p9c5vjZnJTqG331FiDWQAHe4vHNJyGri8j56Cq4r+HzS0MkOJwAH+3FAr+lz/hfHw62cODDE4TNE5RiuPQwN06pHZyWT4ZrefqRJNU+/uEtvXrFftVxcD8jLSNJIwuUha7eiSxp8d0CbrmjyY9b7Ej9YIDYr5BNg3hJjxXBrmwZLXXo4PkJXjqSzAEg5IiZjzg88/arm9rx+4zzpyqDUT8VaeRt5MTTnr1Hmz7HK/qZn92Mn0j81o+h1996GBfMye17nEP/QYX4VCPSiU/06m95k61WZIy+7dtVQpBfT/RBceVe20dva/CbGzlUYLG8LQFwVGHxdG7wts+ZlfedF4OZVfe7Fay+z8yrXfmjHq+5d5dpV7r/osL+MmfSuYOnr8r5p772rjCOvk/9IEOdl49zb2PI/EksK3q0eV2HmvSzNVd7Ft+1bV7X/bUDTdxUPWKMRaYrRPaRukNpD3SKCRRpHLA0hgJOWrgLZggoQpUUS0F5hYk2nA2We0fmWqIAo6a0jeelI1h6tI3WisWmOXm4QqoPYUfUMQT8/9dpdguki2jlUlAhnMKKHEwUu1ngf6IoGGUDHPkWywYtIjaITHqUsZJbYCaLV0Aq0qNHCU7geus6JoqXVDV2twUWM9mQlBAvdJODWDiWgn3msbQjS4nxKGy0uCGLjSF2KCoFO1WRJJI+KUYDGR5x/HgZJ04IIiDQQey2hi7ha4jeB2ErWowxPifQBJQtk24CztFiSgUcah2/WhFYj6BMGCzrjaIUm1T1k6jDRIXsdqtYEr2h7nugiaqVAe3wJlAqUITjx/OS3CKozCJeyGpW0WQ+MwawjyjuE6ohx8nw133XEZY3vS5xWsG6JSQYyIeaOtHAMModdKUyZ4p2mTTvaXNEowzr1hNjQdxsGsgBnqCrQiQUpsdmAsl2ivCGNGXUeSGwgq6F0isRbtLeoeUK+UUycIukLusLRmYpl1LQS6qxG+wZhU4Qu8L0Um1S0LMhihgiaNmp6XU2oPN0qpRcykhAQjSJrGpRrkMkGYztk1xLsip5MMEaTKEm3kXgNtmiRlYfoGQ6XpPb5CYBtC0pKTDCkQdBXAueBUwvbJT4XlGlG1jREU5EUJT2XkzvFJm9JZSAiML5BqwwjJNlckHmNUQFhLG4ZcO3z482rROE9dCJBuD7KGcJoQeG38F6xqAwyGFAeoTp0G0mjpUossQ0E0YJrsLHDi46duIZ1S/Aem68RuiWGgJmPkBsB0dImo+chkUIjaVE6oFONkB4lPUF3+EkLqkU0LXWa0maOLu1IfSBoKIygy1dkeUeWedqQ4mWBSzrmm5REO1TW0o1Kkq6HWmUUg4A0lnarRWcSYRT230PW/EbiLxRhWKJCQmZSumGGTR0bF0g1JEHBJiXdUyQmYGxNNgrIQaA1HpRFO0d/3rASO4Q0sOhvEJttTIgkYY1MOjppmJuCtgigI3knSazDOs96rcnTHlqCkCkYh8866l5Dly2QCawSxaWpqL0mXOwi4xmisbggEbVDyZZUVjT9QCcMbchwVoBJ6MURuW8xQtCOHb2FIfPQ60maRoCE/kiQzHPSJhAFiFIThSPLOxKtMCYQhw2maVGlo6tTjFqjtcPrFIYVWlqKLmFatbSbgBtqwsRhdUQ2HmlSkNCqKVK0GOlphgaRtES9IsaWtE3ptymqzsiJoDzrqaYuDSEmHGynlP2COrVMTEnaGUKnScOKVkQ6rWjjmFx70tQhLwvSXqDoB+ROipMZ1Son+hwXWroQ8K1BRkOSaLwPtCKFJCEq8DHQ7xqsagnCE5D4EEEEjAkkrOlESkNK2lXE0BETga5yklqj5w31MNLLNJkuaP/9dLcmRoougdbR1ILQTwlBwdxBogFJIKWWzfNy0wrRGISIhLTDRIECUqNZ8Xz8HbaOpa8JwSJjwDpDRCCCJW0d2kXaVBKsopOR0BO03qEidE7iuowoBS5r0J0jekmdAPF5+K7qGWJwCOEpJh3rVuN8ZO0iIm8wIhCdQTuIMqBUifQGREpIwOYZMY3I5SWBAkdCHQIxjUQVkU1ALVOUSgmhRZQB4R2dD2ShJUkUREOtJaWQJEGQJ5JeodAiILIU8oTgPJWUSGVJ5w7fROooWMtIi8B5RVFqbOfwoaMZgg0OVh3pjqRLgTzQ3yiidQQCsR8RFehG0ose7QLOujfOk34UU+rnnHj/1LrfFdR6GwfpbcIB3pUN8DYsoJ/ChqvImxglL6a5qpP9qrCOV7E4XkzzOrbH27J3XmbPq0ClN+l8nfww5O/F9K/qw28DBL6MNfN9mp8CdH3x2X6v94f1umrffJmeN+V5Faj5Q3kZgPOq369q43dp51f155f9viqo9SYQ8cU+I6X8/1572Ul/LwP0Xve+vcyedxl3furx/ipA9VUAjpcBty/quyrQdpVyf6p8fwvyLt+FtwXjf+pFqle9g1f9ZrxOCgTLfsGzrTGEAZksSJOcbjVDDRv6exWrBx8RWGHMKeYIPJENQKrZqySHK4HjgjP6PBF7HJljlIkkWnP74QUGcIDpg+zlUDjy5SN02yHXgvm1nKCfO1VTFMXcUSwbQpqSxQF77jrHA08VPX4xgetTYsixq+vczitaCU/NGHe8wWYd7vCU8OAmsYIQzumEpWh6HJ7eoU8kFDWroeLZM0tsPFsEdmSHH0fOPjGc/jEhl45PP35A89jgVn3aL27R9Z4ikhIRFxyejYiZ5sEduLOzYERFISTNyiJL6NYJTdvQpS0re4TfAVlLzHcVvsnxacbsU0v2zYpk2ZFvfUjqNkRXchbOuX7jjHxHMpgGquM7NLbH0QcL4pGhWGZcG40pihbTb7HDFnU2hLZA3xW4b1r8WUu5d8HK7uOFIU4r6lFB28/JyiMMfZTp8/jjI6JskTbBHkWK6x3JFpx/ucVmOaXZbEiriCs31LOS/QCzQ5hdE1S3UmKuyEzE/+uChR+y0gVouPQTLu0eeu9zthcVB4uW3ui3tJ2glY5BXeFHPWZbExr3B26sCt473eHk70A1G9KzNV8tIvNdiUgzbpxJBl3KQGQ8+bUlBIeZbfi6pwmjNebgmF/8v8YoNaC9nvOtv81UH3Py3jG/2fwGZEGXSfb871jXNU8+X3E3OUTLhCmKyfkjclOxvX9Eu7ogVg49hbufbiNGBYE+F3/eYhkCXi2RZydsJx3/6UPB08EO81JydtbQ5Xsk2YidPnz0TMG845uTOb3/6QI3FJwMBBdfVaSJY+d/K8gWChrB8i6YpEL5DYWaMt4bMbApu/+sWe7cosolspyyerKNTQwf/ZcLvN2lbHtMp5Ktbg9F5Kj9R+70PsOEA9zjj2nvWdip6FLPrQtIN4p/jRHZtETXcey32GyBmpR8+vUCc9xHhAx+/SUP0czbnA9PfktZPGMzWKPqv2ciKybDkvLuiGZLUyWOLTOkKypWo46nO2vGpy0HM8HlrY7lds3arAnLNfe2PB8Nc57Gx/SDZhBTNlspF2Gb827At04gVYvWJfrgj8TmNpze45OjFWfvtXz+ceQXfsRwkNK+J7lx0TA7H7I+v4vz/4jrj7D3djjdH+C6CrFY8XF4THq5i3x2m3pPUdiaX3LC8SG0eYoTe1QflGyfNdz9vKT67IDyQPJdr2Lrv26R+JLL0VNClrNQOb8POYxP2Fo7rj0Z0PhnLG3O8nybZGuPLaE5XEiexYjNp5j//IDx4zMQA076dzi/MYVFxuDpdZrHS4SS9HNB+qjFjCy7v9E8cA2dg03TJ/l2iXGR0UGP5Pw9qnTF0a9+x+7TPUw55ob3PLmcQS9yJ5nQ7hzQDCOpfor5ahflEkafeibnQ3Sb8+jvPdW/BPSpwFKwfdOix5YmKeiNzsm8Qvz336Kr72jdhuPjAeXBGjGq+Gyr4Fl/myc64ub/yrjYJcvGzH97l2o1heoSESHdHGLKMQ+/uWQyjORF5It/00SjSXuK/O9rErYw7R67zMmLHhuhiI+mnOSBZeIZ+vuMbMZ2V+A4YCIcg9Ry8GvFw29T5t8ktOITwuKSdnWJ9Su2upbtjeP+8Q75DU3/ruR8/oRdX3J95RmcJkyrESeqzxMMW7sL9t8/p7+IBFfQ2QG7X1p8ErgcSvqlIVlGhmea+a8vqFNP1xvh65RNpXjWeu7qgqJrKOaWJ38/ohWacNZh7TZVbXALQxAr/KjC3Vxx+OdrtEqx3tpw/ek+OX2y0ZBqsiarl9w4vsBODWVIabs+8ZlHZi3JzoLdaUeUisV2QnmeEVKPulNx9LAhrhXYiKr3ILNcbD/k4PwU5SSIFNNNkXlCfWNMdv+MQjSojzXWW6o2cn8e2Omt0F7xyGh2jzuyCGSSZTukDSntzgUy7iDLPma2obM98IbkMsXd9cTCk0xb7CynMgbem3L9uKQ37Tj3nnh9iT6o4eGAeuS5NIHpSc7HTrOn4AZPuLx5i+XWLuKf4KS/QBUrbjx+wjTkrEWCKKZYO0A0B3zwZcsqLFnpjvNfKPyxQ85qsgjtVo0rPHfvv8dMXDJLW+wtiz6uSDeKT06nPPGSR0G+eoL07/I3G74Hfx3Q5K9lw08lP8Xk+G9dfs76vcnJfNeV9R8CYW8CqN7FcX8b5+1NZb4IqvwQdHidza9iN7xo48vSfg+AvAxsepWtL977PqzsxXq8DFx7Hdvsp2JPXCX/27TTu7Crfsy78iJQ+CaA6UUQ68X737fDm+r9qn72U4y1P8d4/TYLCP+RLK//v/xtyzEDRuuUe13gdO8xBIdvI6bZxuoNtVmhdh9QZDm9fMLiyQJReNTIY48NsxipTGSnU/h1R/JkRnfgKWyfrXZCxopSdVwoj8v36ZqIv7jAKo1HIjZwbWJpFMwEFJ8ITEzx7HDz/orYzmnDhnI+oMstYrLizqmn7QLHruUkDwSvCNPn08bCwvibSDSe9lpgtluz/u4ma5cT+pG0PgdT0Ri4dm2NLzUn5zsQVsSyZfFIEK9LpAD/FEo1oNpJiDenSJOS1Bmj+5qzUNN2Df7Cc1R65q7jhqpZJ55yLNCtpi8leYB0Cic+4L3nVt4R9zyhsLS6jxqCiY7J5jEnQJkHkhyO1gHbRFpr8NklUa/wn49IogUTeToO3LpYoqsNR0mkv79CyxL1JcgqELXEzq4RfCTKBeL9FXHeR81SduWIaT9j3k8J3Q22p2sms1OG4kNa4ahFhzFP6W01FCNLMpWswphTMUQezOnlPa6HHidPb1OimQvBe/FblnrDIkmQKkfPGvT5Mxqj2SiJ25J8eLZErTMECQM3oDyr2MzP4DBQig0nZUu5/hgpHPX2lJ3FBf3LhHGV8GUiyFHstBL/9Zi4BWIXbv8lI1ss6F1WuNBwqc85bSsOVo5BP2N08PfUmyXN6pL0pKG3sw2ZZpi1fNOUjPWMO/1zzGof3WqS2ZI/Z7dIehUf//qUi3TIug3M6+8oRyWxHMLvd3jQm7Iwng8aw8oIhIZPOsH5NMNkkjsfNBxP+oQdwfXfWNL1dTbzlpPmGd3ONkZOuPXkksdVS6UjZpRx9NUNmCsmds6xmxEGS8r/ssWZXECd8dG3d7jeqwiDBoegfSAJleTafsdpb0rXwb2LQ46UZakvGV/fw6QLdLNmfNkxtzu4LufWSUlz10NmuXF0wsPxLUo9xM4L3O2EsCdZMWB+XFKt1oRPnnLSRY67AfGPju5Wx/QXLVlaYeucuNCMxg9IzIJR13F3eUBoa1o559FpxLYDhN3m7uSCslfx56RBDQyXJ3uEs20+eTLnerZgJ1lQhohSCVql5L8rYDTF/3bGn76I+E1AHTWc93sw9fTPHP/9/SXibkTfTkm/NMQiUBYrdn6/S9lE1q4j7WespeaZu+BXZ/uUBk5+6dn/smTbB4yMPP51Snc748HuiNungWXX8TB4xtvfEUSfRfERvj2jpy175pK9lSNbWzJb032yxVh1/HJ9n9OTX9BUNXH5gN5uRhYEveUe2fsW5VL0HyX9ya/ZAPNRRbOsSVWkmJzzwBYoKdnTsFPfRQTDblZh92tiWaLOvuOb3RqrBIefH7IQW6ih4Ho65fy2wCYBfXpBUYGsBPFiw7Rc0gRQ/1ZgXYqUmv2FZH6g2Nz1pP6U5TPLcgazXyuE8qSN5Wb6BbcOS2xmOFmN6KJFbNZUH9QsZoJZI0mvb7PB0lZLqvs3SfYgHeT8al2zDDkPEsGNj48Ic4NfST6VJV2xRZcN+fa/K+prgjgQ6GXHen/FyaTG1wE/vkFabPFR8yWXYp/P631CP8AgIAuHt4/xewO2coH8/M8sZMM0sWgaeqVhdKbp/+oJnSxYLAtufbfGDHo0n+T0H42wEyjvdfB5wWaqsZUmemDQJ5lss7i5IWs8w0aSha9ZJUOW+TY+ZPi6pFt9Tujl2DZixYDph1BUkfwZ3JpuWCY9zj8aEB4s6RqJcxny9oTCjjn4IjKzA2K2ZliAzmfUjeVkmdK0DbbwfPtBwf7TlkkaWdzOqU9nJF3LZAqXI9Ax5XC6z7Gc03qP+M6gW0/Sc0zuWcSTp3SdZqb2KGSPVDnSbMr5xBGiIf9uxHm6oSsUss0ZTyXD2nPZbFjPtjASdnrnlEJR6h7j69cIT1uEb8mGK/bPKpI1nNc19XVH7GnyzjCsW9JKIK5tI8+XWD+jzEZUuzVxBGd5StQaYyVZPAfdkOSWbi9yfn7Aepqzem/NaGDZ00uOfnmJOfckS08hBOk1S9X3cKLQugRV81hEnOvjwgTzZMbBcEx/q8/Z42OqVuM7Q/T3GY0d+dBx/MiwXddsqYZvDaSy4xP36iiL7+VvGpT6ofzUQMXfMrDzY9k2b5vuqvLXeGZvYkHB/y/A8mLaF+9dxYG/quP5U4AMr9P1tm32KvDqqgDTu8ir2D3vkueqTJ9X5X0XW76XV/Wbt5UX++OP0fV93quyb67S3j+WbXMVvW8LAP4c4M27jJtXYUv9lDb8R+v7KeVVff0qrNE3sQKvwhp8Uxl/a+KUJHqPrFvSRoG1CNthC4c3Ae9hECRagJMBrz1SKIRLAI+TikpqXKzwwhGdp7eJmFrhYw6Jw6LYxBZnAqH1UFvcKKKUQEkBjQciZJHowRPohEDGDLTDpy0BRdQBrIBWIlxEhoauNChnGNQamyR4HQjaQt5AGkg9qGjwEppkTdJUROFodZ/oJMJESAMKhZcSvzKorAUim6XGFSByyHJBbD3Kg+9D68ASUI1CNZ7oAgsCTRbxKpJVnq4HIhE4Eyns87HFFgHZi5AJjKwwwqDJ6UJDLRIqISiGgqoDV0I/SOq0wyqLmOUYnaCUZtV4SgsiCCr1vE2SoAjdhixKjNJY7ah9S6daZNERKiDRWJXgtSeEitiA7hSJS6nIoa2Q64iIGhKBKCJdzGiVpk0iaV4QvYCyQVcQEk+TCoz0JBIGwqGriKvAVhCGkU6DTyOLtaVpQQqLFxrsBm1XpFXEBIXNNN2qReYW048MEkevE6QbySbP6FKH6Vk618P7AKpjVxqM66HKLZo04POI6FX05pEkFHT5iLJc0raRNggqpYmpYLvnKDcVUVVsigXjrW1iqaidoelynAksvKS+FHgJiYhUscOIlkxayAU+gbX11MahkgST98nqDhkl3SynFDVkkvGgQAtBFgLDzRo7GpNqha5yhOiIGrwaU6shyki2dYv3U7rgkCNN2wmiA92DfjT4IAhzT9dZbABRSyoLVRepfGChN2x0w60e1LKkiy1BSDoTsSEgS4NvOkQBFM+PcacSLOWQNGqki3QGjMvotxD9EqsGdElKxhQbKzaxpdU5Fk30gbmfE4n0XEYZWvAK53KKxep5WJju421G15Y0skUoidQdStcsxQrhS2LXMrQpbaNopURqg8/B9SEmfTyS2ArIS0RUCGnoZEDpiAJ6PQXKUTYbVHeN1Bl00DS9yEZJNk6iMRgPyivM2pN0jkR6enPJZuhZDB3DR0tC50jVmCwJBOnJNYhokbEhUZ6kLpCtpjWG2AWMDEy85qhytLam660YlB4bC6IcYcwGgaaWkkREkgTcCESZIWOHcCvi2OAHgVp6pCqILqWsICQG7S3ZoqOTUCtBGyUmT0mkwsSCcYTWWurLSJ5ZlBas2owyWKyIjIOkSyVBSYwQdL1A1/OML5+fpGatYr0cMOx7tG8JrkP0AmrsyMIKUUPoUubXHSJvGAjIdAobjys1YhHpspQgYdsomtxTig2FcKyDp4lgdjpCrPFO0XaebhHAaza5wEZHrDsaHUmUIdN99NYEZ1PqxjPIE1rRUIuOZWeIPiCoEOM13hms77FNJBMOKQIyrRAOgpUUAkKUdE6xbj1eBrJ+oGOFCg0iSNoGhHl+EmsvRFJvMF1GJ2a0xuCKjl4pka1no9bPT0u0UJtIywZJBxJsF5BECqUQssFKRSMTek6SdhFqTxsdwntMo2iDpFOeOtmQ+4rooPJ9Ou8R8vlYCRClwGuBlQLpFLpLEXmK1tBTnqAtiY4MtKTUluAUtD0aLQgy4p1AiQSCoSkjVgu6IIilZ+DB+EjRQJMEIiCdx+SSYCQdGbGoEdGBMuhWoFqPN4GYamJqwHpCq/BewNiRpBZtPb1Nh7AKFw3eR5xVeKvYyBanLKiAiBkiGBCGOoHC1yStJzMbfCqIKbSNQmbi+em/wWNiQEqoegJR9pBNRr/UpKlCJpIWTXQe1QVKJEki0bkmThXSOjQOYkHMAzH5HwSU+rnBkJdNgF+ccL8uzd+i/BTO8at0fi9vCpF5Fbvmqnlfl/aHmzG/rq1+yJp5HYBx1XCyq4BgL5bxsvSvAobeFKLyYh2vysb6YXlXcd5fFrrytmDWi0ycF8t42fXXhZJ9f//FvC8yeN7Ulm9i8bz4+1W2vul5XAW0eZm8rP++eO/Fuv5cY9GrynuZbS+7f9W0L8vztvZdBRh7F+DqdeDoVYDql/XZq8jbMLR+WNZfW940zr2trnepw0/V/39OACxLOzprubSB/OzXpFxg5DEPPrnAtSBWkmvTm8yrNSeDKeQtlDvI833S9AkyyZHJEJFu8MrR6ci9Z4K1lzwThkFvi66raDcrpD4GnQB92mFHlglykzB7ZnCDANctzbee4FrqBE66m+Rjx/adGVJtEJeacH/ESV4hjSdjAdMthqRcl5ovuwGrnmLzQQ3uknSumHyeMRYlXWY5lRfsO4E1AzbJLS5nNdptGO1csMcWXTvgfL6NefYYF1uOmoTYVBT9yLi/T/fgG1qx5vJTjV5dIy1zuMw4pAMh+MYXCCwmOvKm5eyewm49/958eCxJusiftp+3l8GyK07I6uvEMuVrc0zb5XglaXdrwqknLSMfd4IHPcs8jSRZZBwPSLoey+9KTrMCVSTYwQnyZEK3HtDu/Jm9dcKODYg7j3naBaYeTAA31oRRzlPVkJ0sGJ+XnAPB3KHbOeDbZwt2Ly4ZTTdY8RsacUxQHfPLHdheIfsLxu092ssVl9MLcluh9iXtgeTsm4Qtn3Mj5BRPz3jmtnistonjGejnZ7z/ZenRosSYDXMgkZYt0bHzVMJkgru1T/3kCXq/w7yn2B5rkrWFsobNNTY311SfnJEe/ZqQ1LjuhI8mBW0z4qjdJ9kpScdrbh/M6D1MmS0KHpwJ+j7HDwqqg4yFPGE/WD4WAnt0ycWg4Y8HHb/8eIVeF6yPe+RTaKaC308V19qG7VHCjfev889LiGnHvV88oyNgA0y7FauhQvVT8sMbqJ2v6OaSL774EGP/GyYRTPf/V+TdjiSBT083LK+dQzGgPN5mN9/QzzTP7PuEuy1J6Bj6HvlcY4jccBMuyjGtDxSfPMZ9exc3S6mmD2nuLqjHmvkXE1blkAWW+d6X+LGn6Adu6W/5Im4xFX263YKEFaJc88jeQcwbjJaIX/yK+r+XxCPH19s3uHkc2HpaI//hO65nN8nMEPvV70lvDhntZEz6/0ZYO9z9lLPP/nds2uLZUP5lyn5xj9HgGv9y8z7b62vsrA/5+8f/je56TrnX409HOwyKDb1+w5MB3Js85nb/If/NKOpNCush/4/LmxyvA9/IDvX/dBB2UJt9/q635iwteaI2fKKfUR9Y5gc5u11Guypoy4KDe5rZcsPxsxXV/mfcDPC+lfz+xpp1OyYM9kjGC4ozSf5NRkOPjoALlskfNtjrlzz95BmrStNrdtief0ZxfYNWNWOOOI0XOOGphOBkcY3IELs94OBP/0KvNRTyPapBS7O7Yf0x7P+jpjQ5D369RT9UVBq++MjwXvMdQmhcfof88pB0vaI7e8Lof8ux48hFZylzQVMXPPpyTP+eY1TU3B0pdLuNw/Ptrcf8p7jPxPapL/t8MH1GbRv+ojJ6v67QWeTR/AbVqsBoy/X3H7LoCVwCIyPY6AY2jmu/v4ZBUJHw4J+vs/fJt4yLBYvlhErOoKi4bv6APj6kbgf8y27Kh9sLDmKLPJlwfLrFcp4xYMXsJGO9GCL/YcAqf0Zcz0jv97gIay7TmuTvEtwXM8LRJfl+hj0rqI9yHvznCdmjHtuPJPXBml5jGdFxce9j6idHZMff8Wt+zePunEfuhIvuY9TpDHNxwd5vBepsn+TZNW7bY1S2pNueY+egREcuKuRhjp3m1F8Zpv6EgY3cspJL/xgz1KTXUo4fBJpyjmvP+HijIWxTx12epRVNr4bxE27dH1GmLcd7kfePNyxl5PEgwOMNm6g5NylNEAyWkusL6KU180HC40xx41lLFxuOkw1dnSA3kcYmLJoJcdKh3j/i1nGkW4949N01HvuI6mrSp1Oatk/dE2xuNyTPEkRlKPG0yZhsaLlzsKKbttCCPOvzKHeUXYo8H3C8/R0xtsTzHtflAITmKCxJK4vpLE29Zr4tyQ3sXEJ55wKnoP48sve+Q2YdT44bwv4Ccktrb7AMEqVa1ruPkPIAWea0Zw9ZtyO8kFA+407RY+ITPvh2Sq3G1CKn15yyIcfKhLOsxSXglEHMDtk5NIxGnrPGsqrntER2AswLwaYvOW4S+sKwFQSbes5ESPJU8s1NSJ8FikZw3aYsTjwnFw3tp2Oy2YxkVvO4+YRJUjEoNjTSsSaQhMihLTg7rHl4+817Sol4xZlWlmXvMg/7SeTHTrTfdlX2TQDUVSbb/9FMrKuuNP8YeZVDfJVn9iqbvgcy3gbAukq6F++9izP3KtDjVeDYy3S+yY43lf397xcBkdcxwn7oEH//9+LeVVeVNzGX3vSsX0xzlb7zorwOLPqh7h/un/Qq+1/U+TLbXwUevmzD7x/qeVsm0VXa83Ug5Kue5VWAvu/lTZuYvyzvqwChN4GKL+p+W9DzZXa8Ceh9F1DqTXquAnK+LSj1LoDUm2z5a8i7jG8/BkR+m3J+CqnrN58e8yq5liRYpXBG4W8k6HVALx2LQYNyGt0lqPIAO1xhJzNkXyAXKXqaIUSLTAbIZIxqjmhlQ6UsHywlOmR4kbPIBbgO1basRhLbe8406jUt/SAYB8n5eUqnwfYCcXlAoS2T/pKVCSgbyGvHZs9T1ymbkyE39ZIEB0JwevMmscvJThPW+48IgwpGnvB0iHQGnShuhhV0HZerjsTtEqWgTTdUXUaIEiEDw8STxIy0ucYiOULrwH62y2lzTqM7wo4ghgbhQZSG4UggdGRpLQfTA0SrOWZKPhghMkOZW/wiIQmOG9vHrC5uUYse5cclt54Y8s4y/fCIg28M+jLhQeyTR4GQkrNejm9rsmj51VAwa+esfcOajDwzKKVYrQPp/og01xTPHmO9oSPhcrTD4cYwCYLVLzbMRUdpLeZRTQwJKIW+XSNOIc4im3FkWO8zaMYMuwvmwbFGsKduszo4Z7Vzgas1w2XLoLSomzn20uEvA/3JPqt0zTJZETKNLsfozYisPUF1EeUEZqRZDzsWA0vxzXv4kOCkwLkzdo3iWprgdo4JNcRVQt32Mdccxd2WwXc7pKrBFEv+sdulP6q5sbPguz8PCcUAfTBhdw1BZDSmx2T+Z7qiYrnrGf/xU9KiJbtzQrCWTTXicn6T3q1n9ArHVqb4bjnDLzryY0cdDjADGF9f8+TkNjrR7F9v6cc+aQ3ZrOG/qxSbRrZHHaJ5Ql8GbvTGfPtoSJNEsk9W3Dw3aJuzNjs8MN9SK4ExHyB7J+RiyUEz55R71GFI7BK281N0WdL+uaX5dU7MexQPbhDrGl9Emt8m2M0JibfcLm7Avz0lTC22f4uFS0HB3d01l08vaENH779cp/n2CWK6YF8Kvrl5SJlv8auHAzbZlC7ZILQjn0Ps4Kubge1kRJbkHPc8750YdpeRVfKU6U6P1uR88E+ai8mIsp9xb76kztbUaUNbDMi8RYSOP+VLJoVirFKS+ze5bGERA9nHa/abIeNywL9Naw7jmutqzZNfXdA6Sdcpyp5g72TCwfEYu2kw/TXJcEPTV4guIFrBpfiYRRtYdzUf/N2MwjWk64588TFWr6mzc57IMaVx1GmH8XskWUqaG6o/P2BUKQ5cj9GvYJ4mPBM57x0/QXUN3lkGdeRsy/HFHUv8Pw7ZckPu9MbMrz+lwLFfwfLggksLR7OM9/mALus4Hh3x3p+uQ2xZ7pzgbwuid3Be8X6bYIsRT67d4M7XFp82nHyypHrWp1kqVhfwDzcUA9vgHp7DaJ9mHDm5e0Zht4hVn/JkwqJsKWTFryZnPMthkWkuxgO2799AN4HNzpfcLBxpm7O+/zF7e3PM0LGaFNx/fMymWTPc6RjYHURbMF1o7IdLciP47T/dYelnNGZDuLVhORY4oRl8swWfdfjdwGapub7ZoV9JVtM/MsmvkaQFl8NTSrOHszl7f3lCub9P1S+4nD5k2PbJgqEaTNkrKwZtYJEdcj6cs87XXKs8ebuLjEPuf3qOf9qhTuHTcI9Vv8eq0DT1d6RxQyYsvYNb6CqHVvPNJ8f4kyHqtM+nNx9zeppwcpKTh4b0Rom+WbPYXGO4EozXkfPJGcUSRpeaQSKYKc2ZNvjdGds17K0lq7rPcqCYbQmKRx2p75GKIVX8jjDMYWub3mVKYyLrviNZPsIR6VRCdmgpwoBBvcNp/xnFUnHtaY+enDMbJTzc3yL9tiJYgZMG5xrksEMdNsTH7xEVxO017yVTRBlZnCSMsjGNgGMaxEFNERwHU8c0H9MqCLKi0wYdYNRGunqX4A0EhzMzonAIl9CPA2TmafbP8OYGoZGEowuk9Ejt0P2GyghwkuLSMNSONAZMDZfZHpXs03YZbviEYGqwWxhdk8XIwWqCE30wgnz7guOLCVWdMNEV3XWBLywsnxKERjvD7bMdToNgJTwim7ElO/pRkLbblDdaukGHelAz3y2wA8OH6yVHasgq9vjgyDBVgqXyKHf+nD5Jih/N2NUDhibnaOuM/HRAMu2z6uWI7pRol6z4hFFPMMgDctHSiUusmlEZw1jAWEb+cN68dp70k5y+99cAQK5q04vyuhX0q+i8Kpvlry3vasNPubL+Ogf5p9T5Oif2qva/Su/P0V9fpveHbKO/BoPgRcDhh4DUVfW9CiR5k5P/JuDqdba+izP+NqDz9///KYHut0nzOoDpbZ7xm+R1AO2PGTveBK69CVT8qcaMlwGdV03/rmW/yIh8sa3+Gn3qXdL+NeXnsOt1QPLfwnfwymUCwYDLBS5CQOCFJFYFIoIMkloKhAQjI9H2kDrCsCarFSFKnJV0iufHQQONlOTRkcQSgSAiiCiyGBFBUAcJtoewDmU7AobgI6Jy2JjhEETA6JoYI40EWUZk58F0CO9QErTRCGGx0lCalAyHRCBlj3Xdw3tFZwJtAGLEC6h7EeUDRdnQCInTKWQ9yrTEhYCOa8AhhMBIRx4DITqWssMEgXCKWCUkeY3EQ5S0AoSMRGmJ3hBdgjUtsgPVQq6hagNGBcadJJMGLRVxPaC1FSG29MM2ohdxBggBvCAEySYGUAkGgW8FwncoIUD3iKknJJFY9fHC4wwYk+JkpHKRZpMThEJ6SQgVpmvRMaI2DqkUsa/wXYpuHaJbkdMwTzWdMvimRtWWbBWpjUX6CK2kaWqMlaRoXBHp5PNN7Ecu0gZPgyXNFQktubd0Sf/fT2KETDS0wmApGMacXiIwQ4MwfRrvqLNAETNiCDSlITEWIToIjl5mSZTA24IYIqEVhJVhLeYQLL5WkHQ4OsqVo8ga9KAijJbkM4guoaoaTATnBNMNzIUmBXYaRUOLi56q15BvWXKhGbsenZA0LhJL+Tw0NERiFvG+R4iCrB6SbiI+txA7nDBIE8nGLblOCC4Q1lM2vqExkTRTbDpHI1p8FhgXChUEdVygmgDRUHWaSZCIENhYQxQORANlg2gdWEfX1WRCoJVEZwEzqCF0DIREhxQbMlZYOp8RbI7fSFLvMaFFba+J+YBWGYSd4wc5tp/izYJSDki9Qa0CMW9xhYDtfRQWVXaUsaDu2ucAWGihbXGuJduJyKIlJBYtwYlAJRwuTykqj6o2xGGDtAHjDcUKGhvZdJFgc0xpyJ1kue3JehFdCIy3qKZFrR1mWNMzEqUlohkRm0DcbFC2hbTG9yqq6Rg/yMiKArmGKCS1SdBrQ1Z3FCxYhx1KBF42mMTjgbVQUENsI9szSx0SEhEIcs6qFkQBIVpcnREbjV7miP0ErZ+f7NVlAZQn9j2iVxBbjSUyH0JMHTIsWbs+SghG9YYot/BKIOSMWg+R0RCZoIIgtA5zGdFJQ/QKLfvkuiPRjroPEYUShsxkyKQi+hbvS1aJIMeQxZo6WGrnaRuHdx24Dr22z0PMrEavIq5ReCFZiJpFUWHThi31fKwsBei+Q7TP9wtTjcFnKU46et85gvDUCbgsIdGRVFnqHY8cdqRG0i0qhNBoLVi6hF6qSFNB5g2F6BGRFOkG4zKCTbFNhVMOXShSJ4la0gKt3NBTgb4xOLMisZCsc8ZthQsDosooXUR4Sz+CH+aIrENRk8pA4gSqDMg0oIRHDyy+GyI6iW4c7e0C11pCZcmGGp+meJuwTBZYAd5EfBOQWqB1Qux1YBQyT+lKCE6CTZHOIKIhhoC0oInoPCBahfSgQoXEE7Um5Aq9ds/7SwZI8e8LHdAgMb6jR4lICwSKvFZoochChPb5SYERTycahAFvFeu1wqkMiSSxNVnuEDIQbUBYQ9QCtMP5DuEFfVrqkCGCYkALHmyEJodJmZG4SKSmdgmN0BS+ohKeCOhWkMqOBEEQOdoqVPAk3tOnRYpINJHoPKFzVDnQSpKgcUoQjQGhCaEgyADKUQw6FrJm7S2jLCP4DFcrai1wXQZtgQkNwSR0SpFGifCAj8haPD8ZclAjeg7fd9jGE8tIUCCySF+VZKnCSEEeLJsi0PYEXjr0RlKsfuaNzv9aE+Ofs5yfS/dfy/H9W5arMpl+KFcFON/l+b6tY/o29l/FMf0+zctOPXtVOa9iH73okL3IhnpZmlfpfp2tL9N7VXkdO+Rl4Ny7gNsv1vf7sM7XsaS+z/M9W+xNTKKX6biKXT+sy1XByNelfdnzebFdXtYPr+rU/7A/XMXON+l/0/Wr6HidvGj7q+z/MePoVd6hH/5+ESx/HfD4tuX+jy7/EUDRy8r+ucqt8xzbt7iehUd3kWIFeoGqbiDUGswSkWWkSUWOpD66jt9d4d+fsns/YVNqpqXG3uyIeISVTNuEXucZ2o59I5gx4Ljd4t7wiE2dU97fYpPnCL8k6U5YFwOicCRhBXhq5zmrPAMFXQ+WB4LBF5EQOxh0LJfgk4zR9hh9scCJFjtKuDNVFF2G3jngSy+pNo64qlhREDLBZs8ht+b0K8nkQUqbBOQAupsDvFaUbcl6+oB0nSKsZL06Zttaev3IZizpf/ncY5sXPZKqQ1cBWRuWzPHS05iGrgRRBaI4RccUg4ALuCGeoY2E04zL/SFzUcDX73FefotxFXe04eFtwWzSEVffER/ntEvNw8oyujVBpQn1H+bsd46+FpyPbmHFU8qwYS4+JvgOqTrG2y2lW7LsLMmXtyCAUoH6Rkd/FhmuIftGkN3yqEPB5Z8mmLhAizNqMuSWIRkpHn895fpsw51Fx8M0pRGGxkTKWcnNLmNL5vwpP8OnES0UH30FF7HkLGk5vJdhpgHROf58o6LrAqwjffUE1D6NTPksDgjbNc3dkuF3t6mGltN7Db9+2OfSSR5fwK3Jd+TzlvQocOOu49IV/KXexfQFYROpv1vTvvcEsc4RR5at/2VA2wrWxzN2dx6yGES+Bf7zfcjWDYW9oF1K1lFxMY9gdkkVJNccB/qY1cDztJ/xD9s1w1OJ/OeEv8gGJ2EsJaFakvY8W33JfPAxwaZ05w2m9y1Z4ZHVAc+yEiM6dmLNraqHnW2Y/eFzno0/oOz1+G7cIXePUbkiUUO23ACRFHz7m4S7lwnZ3DDrC7b8Uwrt6E9/yaNsSHSenaM/QnWXziWsZ1/R+6wg285R3S7trZw6CiZHx9DvY/s9nqoTSj0k+CHfDpd8kG7Y0StWpeXBzR7zQZ+d6pRLDWWM6M0pT6YZ56cFv9FrdmbPmWHy/+6R3zzBnsz5p1uf4U5XmLMN/+lgi0cry/mm4pezEj7W+K2Es78/ppwViGXGoGxYLuecb1bE/1uf4Axuoyj+4GnrltZ61nKXxjjW2ZT2f5Jc+B5lM+QwfktuLdkpvJc/w93IaG5k8Pl1NpXiorXEyZ+I24b2oKD6akbGLlt7+4S1h04gfSDt+qRhSmvOeRY/IrlsuHF2zLh3jfOQ8KRL0AvL3uWU/3T0iBNjqZMVc3HK8vHfIfs19vpjvprewtQ5d9YZ8ZOUwbrg3l92+Pr9/xNTBD4w1/hLew2rPL27F3yra4yr2d085uvtD+g3kV98bdm5njE/sJT7l3x72iddjdgSN6juHJH4NQd/stj3Ha0K2DJy9+YZcmA5741ZPb5GbBJ2dyr2bh8h1xWLr3s8jUCMfNB8w+OBYq017T9FYhzSJ+UDdcbssMallg8TxQOXs2w9X+mvcDcsOksojj7B8xBfrFnvSuz5HbJHE/5BChb3apqsJnc9ZqMZ3cGK8dY9Js9K2Kz5r78Zsb/wFPMNTWNodqeoIuKffsDjDwYc39D8ffqYO1+N4fF14idHnKzHnC8K7LFHpBJ2Nee9E2bNLmvbhzuOvB2y3fYowxGdv2Bj4bMjRWdbKlnzJ7dhN2o+MD2azw7JEGRuwVSfEKIkdIrbpwoOBOEw8ODzLbbDhs/0nN+Lu1iWVFzQ+2XK3nmf6/d7/G53hh1G3EgSzgR5JihGgd7gCJ1khHwLtYS2NlRVj8mXBU7XTJMTZBQkvZT8Wg+OQDU12dkFt+OYchR5etvS/7zERyh9BqFFWktazZlXgl4wXJMd3w6naJtwazUkO92mkpYjM2NntWIYIgjByUcpjTS0bYK4FsljyeHZEWIPQszp5mNOsdRtDSeBzE4pnODQWh7GPWKQ7HUl4zSy0ZFH4xbVXUc4xSLex+aRRLXcWz7h0RZUWUa/HHNtWSOk44tdxcEl9GtL83TOvlhgU/j8JhwcR9JzeHwP4vk2dp3zMD3BDQ/xagynfc52nzKfLElVx2bjWdSC9Sd7hPuReO749jMQzzL0NGcdv8Pu7SMmQ/hGMGRBjuecjIt8w3To+MDC+aTjbFAR/iLRQ086idxLHqEKiVSg5+C3wR8qeg0UJxJfvhmUunL4XpqmV5p4/UeHD7woVwEJ/qPKf5P8VPa9iZ3xc8mP1X2VsI6rhEi9ztF+HdvvRX1XCXl7mT2vA3Suymh5ld4fyptYUG9jw7sydl7W167CGLoKEPfD+y8CUT/U+X3eF0NBX8ZsuSow8iaQ4E15f/jv2+Z/Mc2LNr8OlHoV++pF+16n82W2v6kPvirf6+rxNvKijS++H2/Tb18EtN7VhhflTYDvVa+/Tdq/te/vVeR1AN6b8v1UTKmrlvtjwvdGoxEidIhgcXKCUi1SN2zyDPCIEEjmd5B6g0iWNO0efWWZqIZBs8UiaM6DgP4TfNriUs+uuotbB+p5y427Lap0hHPLrB/RLiFrc07uVQTfoVYtdv0B0XSI/hSzNogQENISrrUEm2EvR/T2U4K01HbF3ZMJ3mumWjJ2C5zyrFJB5loKEdkyAlsK1j7jOG6RJxcEXVFnNcWNjIEVHD70fOeuUcmCmCZoc4oJJVlVMQ4TdBTAkmm8hisgu3vM+jLQVTl+c5tBcoqUDV0QXEsnUMDDg1PoUpJKsPe0YpDvE+hxtDbI6yckRcl+Jzgda6ogSf8MKjSQRexHPdKLgKgiSxVp1wbVJdwtJlyOZmzSks55svUWWZey01tw7npUVjOuFiSkiExz+ZsNW40i2xiOHl4n7lwQ+2vcswHFbkfa97RfjzhIlmylG4RI8dbiXKRM91jJjhbH3fWQTTSslWB25zFxXhBXOXx6wUEp2CkFDyae6A2iSxCPDNuyYyvtWP12jDiuUY82JFuSZRdY2Mid90csVoqLS8l7dyekvQ0yXfL0zxl1jLQm0GsU3nmct+T/OSEJgmQNs6d3ESqi8obVVskEw01b8Jfjcwaxzy2zz+r9L6iXjuq7hI92ttG7EnvLE/7xDGKK2NlFhJZNyDgLE27ffAZlwurBHtfzP7Mct/z5RkqvS8h8nyLsc+3iISJY1jrj6XlNX2h+Mx5y/4N96rRD1I8Q8YDOeRbVU/LskFHs815V8NU6svRrOvU1vf09QuixeNqnP3ZIFNViyK27FyRJYHa+RXHQoHsgdQ9zch/nG04ODnG+odc2/OezJV81kcp73hMtR+UHtGHM4aTjSe8JLq75Tw9STj7cYdHrMf29oYsBFS03uzOyXkGaZEx0wXl+xsJUXLhtxn7FQDQMhpJnRrHQhp45ZPLtM4rLOevP+gwWe+hqwB+Kkt3LyKSWuF/k2O4M2hnvdTlrEtYqY314wLI+oenm3Nj7hLR7hm5PcbMe+VCh+5L7y4JwmqDPNHflgnRYIIcFf97Msdc0HBju/qFESwEZnF6bw2oPPTuk/8EMZywOx+7jI+Z1wlnX5yO1pvGCRdDcfU+hej1CMWK5eYbwAkNKkXtWXcdZ3ZEOhpQbzexM8luX0AsW7SvaDwdcBs+jVUkX++jUUgw29L67xrDT7ErPxu8gupp08wzdy2lFyyJMOUr+DiEKhljcfqTQM/b9V3z37DYhyRnfBF2M8UlLlT/DXe6ShIStTCBlR921nMxW3Ogb+rUnv7/mUf68/zXykA/lFCJ81e7wWU+gepYvd2d4m5JGzw01JZg+qpT0/1Bj6QEFhj3c8AGVWfCg9ti9u2R5j1/HC+7XOU1Q/KLX8JWdMpUNZidBPioQ85RE51z7MCHrGx7/MecgLBjRIkyPdL9D5HDxaIzoLwhyzcn9KTdu79Pf7vOvy2PGfodCFCx3H1LoIYXIuNNcsDjaZz7r8/DG5+xOBJNU0X3ep5cekOUDxP4fuEwUy6jZ+xzmjWLjBJ/2VsxJuSSlVBXSjVB+hFdg9BIjV2yajH7XMnQ1g0PJIukz0wPelytWs4yLyx7V7pC95pIb6xPMMEEMFX6g+N2DhC7Jkf2CvfWaNDSksibdb5HGIGTORqxZzgZMn+3TTy7waUOb13y43KYLCWfSQP8UR0frHO9t7pHIFDJ4PH6EDR5ZJoxXkeg9NR0uy0hCYNh1NAkkFGzZfRpl2OSCs53I1rPHiDbQiBF21KKFp984NtuKEMFcBqwaEkJCaAz7YoYUDUvRsskFhoQb5Zjju33awpE1RwQ9IrQZzWmPrFAkiWeYzrlYGkQDH7YVbb5FKwTL6oRryRZSFnztNbd8ySjUwIyL0GOlU5YHOWbmUK0jDtdsjSU9o9DTjOMmZ+lShMvRN5eoQYN+3KPJL3BmDSQcdjuMY8b82mPK8xy/yDjsFO2kocs8ydkOWs5Q6QbeL5jTUVvH3adwdqCYDSX930XcQYbby9FyyC6BMR0P6xO69RBfjmCiUOkClSy4/N3r51BXZkr9j7Jy+7dYh5/bprddBX6XVeOfyxl60Vl823LeBUx4mYP6c4RDvU5+Sp1Xccp/qvZ717KuAiK8Kt/bOv8/lqHzJnnV+/MmJtLLwJqryIthZS/TeVVG2suYWi8DuF5n8w+vXbVOVwUk3ga8u2q6V4F2P8eCxlXBkLdhqv0w/du+y38L4NbP8SzfJO8ybv/YZ6IGCrEWiBrcdiQEAU4i85roBKJV9IJD+kD0kZaG6CF4TcwiOAudR5iIjGCaiEoDMQgUCptIQisQCOpWkyLIVQfC4rXA9XqojcNEi/EBFwXw/C8mBaFLoUxIvcADnVe4HoQ2IGpLkBlStfTSNc5F2hhYB4c2oAwMRMQTQIByiujAeUFJhstTolBAC7El+gBdQVSSSEAEaCW4CEkViFIjtUT7FutB8HyBIYsSGUEJRQCIAeEV2geCDoihJiqBi5GlCDSNxvmIzCtSpxBasw4SVYOqI4xS8txhTMD7HFVrUi/IEk/IAqSBnmpJmpy6gRAbYmEQPQiVJTggakws6WSNlx3Qx6UVFC2tEtQSGgmFbrFaUQeNcAElQAmJUB4bn58WJkVOQEOM6E6ACbgBiFYiWpBtwMaADIosZCzXno5AGAomtUR2CuMk0aWkEkZpBFp84wm1pNQS6y3BNZROoqJCqYS27OMSR1c0tM5QdIFRFFSFJpMwCg2iUngJIW2oY0cXDNgRIgGCJFymWGuICoLoyFMFQkC0FKR4pwlNICYC2UA29fjoqJXD5YEtYRA60AwbitLTd5LEO6RriWlLN2iQbY7DgqpJHZigaDGouEHR0iaKUdJBlyKqPsPhmkRC7iLBJngZ2JGS2Eq8crTDJZ3yOMAZSxI1WUyhA5E5hALvx4hWQ+vZlCVJ8fzUspUfYrsMEk1SBHK3QYWaTtdonaIFbKJGNJA3kbzrI8USL1ucn+CHAtdXLIeB4TignKdCYMhJwgDtWmTmiUkkhI5cQZImbGQfWwEddMGQwPN933xAe03uMkQtaBPDMk0pBz16i5yBNqjeFDUKyL7EH2WEsUAJRV1mqJEkTgQLvyF3kcQ31EmJyw1BFmirCHVKVfdIDi1NVdMsV3TVGGU6QrZA6hYlcxIKEvWMaARlSCgbjQsB+i0+ZtRR4mLESIUQhiJLCNERlGDTGXKVgFSIAF6uiWZN7M8ZZNuECJu2pb9pQWpE4YneEaQlACpTuFyz7CtMFRGdIoQJvWhJdYcuPJkVeCOpRlu03lO4isJXoAu8zvBe0iUCYSN+IdmkoFQk9j1xZsF6BJ6kjZiNJBMZvUQSBbg2gnoe7mmiQJWWIliyQcG4VdQh0h54igvBuJaUuQTbIKNFCYOzntpayn6fai5JakEiInZPEoxAzBXCO2Tasi16SIY09MnCCapuiD7S9XLIAsiaduWQxpJuWYQRRBmJIqJThYgdoinJFhGTBqSKODlCCocJlkWd0EmFkREjJDEGQuiofE3RNWgi1iU0IWLwKOGxXoJThEzRmZRNb0BWWbR1BKDeOGQKcqwgN2gXSNYlskmRvkOGmm70/FQ6JSzaKHIvGApLmwe8jhAF3mucUHgDsR8RPlJsBLUxBJeQlAI50AivoMrRYU2QEUwOArwQ1FJikoiREZl1dI3HC0FuNF4JghS4EIjRE0UgYojWQRQoUqpWYiMEFfCmQ2CRrcQEhZSKTRaJsiPGQGl7JL6H6Az4QJM6XBFIVQoiQgxU8vnJfUZIshhwMRC8f76xetoijSWGAZ3NaUUKKkNQIoMlqSJm0qEyge5lqK5DOYeOHtNEpEppREZUCiEFYakRMoB2hLUitxZBpBF7xKZC+xqfO7yICANpAKQgSiiFpPOB2HmEiqASgop0MdI5TRckIYe4iMS1x40ENomI4ZvnSe8cvvdTOHbv6oRdVV41cf9bkrex6acAQF7leP0UbfEmRszr8rzJAXzZ/R8yPF5kz1yl7KvY9aoQr6uGOb2JxXIVeVk/fh2z6236yY/pf29qu3dhv/zw9+vAnVfZ97LfLyvnZc/0dWybN9n9JvbLVcLK3gQGv6p+L74Db2IvvUpe1o9eVZc3sYRelLdtyzfpeNm9n/o7chVw/k11eRlA9zblvou86Vn8LX4HX5S/Bih21TH8e/mxzy17Pyc89rjaYg+38Bcd8ayid30FrUSsDQexIVUtMrF8E1bUWcq6l3J3+xS3CMgL6A47zMyTPQkgTugJw7Y0LFVLKXLWcULsOjrd0iQ13UUG/QI5HmIWx4ybhr2Z45t4E6c6kuScQh1iVaRkze6TKVZFusRwcu+YfhW49QgepZ+QDVtuXL9k8WWgNPDkliAuIyM876UNjy8iTafIYka7aVnYnEV7DW5JRK9GiBmuq7GrlHpzyEafk9EwaTVKX2IJnE0D46ygHwU6PqQkxUYFgCpLVCNIYkKzGdJZwXmywNczimzB7c+2EPdb6ipy/xDMdAsRDdW9p+wuCopNQfPFHhvjsf2IuCu55Y7Jq4avvxHcthNuigx4Rn1njt+SqLKPCTXKb5hWPdT1IWrLYL5Ys4yBMlQcxDnni8CyMeidAd44vG1IkguqA4cfR7afwMUkY51nfPjFOexvI7YmfPPgFEIEIeld3MC5JV4vSD+3iDuS9lAR/myQVYe0NTekJGGPqt0m/fN9Njc8l59JLv+sSSlIY4/VlzDeLjjcLagfPqBsE9Z+l/DJFl5d4Pya9ElKzHcJ4zs0X1rC8IR47YKhqZhYxfVGUT7YI2OO5IhoC5a64avqGIsFOQZzi+Xd39MsMp798w3uYWhlw8nJCXv/81261LJovmH5+NfopSUJT1kkHl9HDo5K1H6fTjmWXctfmvdhXJJuf8cnPmdYC7quIc5KjIP+4YTFbICONbcOFFtPPSEEjvYkd/OHtNWK310mCFNCpxCl4cbwjN1hSTLo87W8jY/wwbWvqP7YZ9ZFvv3FjL5XpDpjV6X01YAitsTZIz64M6Iuhjyc3WL3xlOUP+bxVyUfHY5J+zv8n5P32D5vGCzXDP7nz9lrHXTwj13Bx4sV/WrFF6zY6hKG7R7XZhlfbad8Z1J4NELKLUShEP/wL+TXIsNrCdPkDrNZipt7+pMtFnvHzPoXfHA/MjIFOtnm/0hG7KtzxnLBMt3mlkvZj2MezC5Rpwl6esjozpILt83RYhsOanaThJup4s/vSXZ7jh3TIe7fREpLiC0P1AoxFKhdifrdIdvjFbc+/JovQo+yG+DkDsPNMzZygtq9yfHNCZvygmlyRnX/fcTODO484r1nffohZ6RzLj4ULMSATXsIn/fRO0vyT0/4ursGcgbJEbt/2mdsBvxmr8fn5ZKqrehqyfloREdCdgyL//XfkGpDMQ/U+zkN0KwVv/x8gUvXPH6/ZMUlJY4owB8O8NqwkQvMN55YZdjskF/3fkeeLalsJM0FVm6TJL9lfblAbTy7wNaHe5hBznLV8h3XiWvN4Ezy6OAJarJi31acrB3dIpKeSWx0VBSs5SccTE7pqyX69A+cb+doM+K3FzmL8oJOT5luf8K19TEhafj9ZIePjlrunEn+5bwPoiLXkn/o7fNV9ZRTP0Pvw1HX8MzCHbXFIvU0SSSJlq15yZCGm/pXfNmlnC4Etx4fMtczZsmS7fJXdI9P6FZTzoUi/TSgbznEOUw7WNrIL/8u5fzhnPnTijtTx0Tk7CcFjz+9ye7pM3qnM/7J7nNHJnyiJV+Mj0mXc9Lqgu8OYFjC3lrR9gxtl7JpB+TTGWPtONQbHjw7pNvNUPc0+58/QNgNUzzTJGFYjdg+3ka+X9O7WLL1cM4Zd3m+W1PkYhVpjafTjrsXOSPv2JfH/GV/Ao0mOYdvnaI/EVy/G3FpgtlA0Vq+MYGuBbHWjI9ypNCsxQ5tjMRcY/e2YXaMdx2lSpncs8i0xdtj6icBGeFmqzgxCdaDaaZUO4ou9Cmf3CAsVwxwHFrJUbKhVNConKOhR0VBOk/Zagp8Ejg+uCCdpuimR9fdZQcQquJJ/1vkMMGZlPPNmDxIlHA8Syz5zY7cpOzd3+WimbL2Uzp2ccMWl0pccxe5fr5vYjuJbK/OGNZLYgfrEiojKK7VRB/JnKdX16Sn28h0yOZTResktkmwm7uc6ylTeUl90eND2bAtPf9KQa8yJNox++gZoYmIWpDd9/gbEb8jeXjPEDYWpp46yXGqJYSKiZ9im11m3YjrA6j9nDLOWGcSbyQhvnle91an713FsbjqZPJd8ryL/NysiLcp/0X5W3AO3jQx/7Ft8zYMias4fi/+fp39399/1+f8YljT29r3vbzMgf+xwNT3eq8CCF0VOLvKu/I2rJI3OelXCS17nf7X3XtZqOVVy3qZzhf70YvAzOtAtNfZ8yLA+WKfe5N9rwPyXrz/4rXXlfU6QP9loNTrwOHX6f4x/enHsqve1B/eFqj/qcbzd9HzNgsC79L//9ryH8nUel3ZPyZ8r7f7CybdJVtuhhiOqOuOqrTMiuvETEESSdwxohGIWqFCRafGtHqLQXFKP7UM0sDlZJvGRpomIEMf4UpEN8eV2wgfEL6lNTUKQRoke7cDVd3n4mKHNJ6gMoUc9CmOG1rrWcqA/sXzlWBfOQrfI/iMrusRqpa+kxz4lMe2QUrBVq5J9uYILLFy6GWL9pBKw7dtTi09MV8R7RAjBf2soyNBhEBuK5Ib0FnN+bdD9KFF9R1J1qDjDrGG9nROGAdEDioP2Me7UOZoFNvhjFTUYOAkyWgSRTYSXM9qTAicX2ZQO7TTDOQO58MFpewIy5y7WcEQg517jgisCof61Zpk3SDaSBOHpPWQwqXczFrqzZQ6VCzv5rSdw7lAUAK9TpGlQlQdLrMo4/kkwlMdmApBttlC+hrhO6qmYC9tGSWWaTAEs01Mh8S9EntpibPATVtQmjnrrKQ7/AQxnyPmC3zvOkJdosSM25e3UL0OWTRk5xkyFYRc8PUsozYBmwVE4TBNh6laXNGSS0lfCa73Hd1SsJ5Ljn6bYJ3HrzzyaJdxkrPTyzm/eIwd1IT9Fnk6RnUTdNilvfkAKSuS0NIvbuFUR61m1CeBcehxqLZ5eHBMbT3tSpNnHXk1pn95m/k/bGgbS/udZfBhQxpzstkBq7ggaZZszU/Y/zBhVQ/5/NsbZL+4pECzc7rFQfkQCsfidh/xsEWHlN7uPn85rXG9DXu/PqP5tkBVholOOE32CJ1kdDJn67MpBoh/2uYoj8Qs4c72NotugwPSZEQ+ShGqpdw84GR+k3WAZvI56eEug1Tz6eKCTOd0qs+X8gN6Z38iWc5Riwnrg32ansHHB6iju+ALmv/yJfGrDDGDfP8Yv7kL1ZhkOaPsbWGLnP6kRJ8HQhV4ul8RuzXICvWx56Oyx36XczLo02sG5HVGfFryrHvCnEsOP9hmcRko54GBNzR7GX474ZYMzLsFm6biztOPoLkk+EuSWwX1xlPXnvhhYHw+YXg2ZJrdp1/s0M92OX/2lKnJWeQ9Pj5cME1bjrUlNNcYyxXbcoZ6eID1Oa00tB+eMWq32Vpd45vxnygvI81JSvKbW+ybS26FR+QPFCu/zVQeciNccJH3uD/a5ddVR5MtOBmcMXkSkapHGGzj8jm9VrG1zPlj75g2BZ1nHHwzxArNYqhI1h3eVrTdnL38A9wkcnnnkq1/u0ZRC/pZSTZ+yMo77i9ySO4xzh3vbz3jy8f3qBtDSs3B4Ix+1tLPPelaEBNBdV0SH96gXAUe109Qf3+HVCu2v74guyupteKr4wRVXyLzGvlRRe/JTeRSYddP4d4ErxX1wxVbYYdBSNnrGqrPBlQTyXm7xguLaBXFs33sukaKmvEHF6yfbsPGcGN8ysN1j6pTfKrnPBSCSw1sR5htY6qE2/EYMdqFoo8wDlXMEaKl/mKL7oM+bivH/KugDkc4uaLYf59x4UhlzfE337L94YThtQHLP0hW4pImWXK4nxEvw/NFhcM+amaJC893icbsKPRA8/CrLdI8ISsM5aZB+BIVK/ZEn44NNRsamTAZ9RgPCp48bOnHwFgFwo5iFQKLzrI3X1H3PetxgFmGSASiD81QYZae/Nxz6AzEHBv7zOUTgjHEZEDoGhhLuG7YXVa4UrJZJWTNkDY3rCcaFx4gZIuWsGcO6WrB5axGx5aIwGOIdoLQDpGvcJOSLAlsG7g820e3lu1wTrC3aDLBYmcOl45QS2ybcuNwTQTOZz2i8CgiWYSN7SHywPDWkvkzjbUB1W/ZnkswMH3PI1tJXmkOjwsuDj2NCvgLy0g4dCbwNw29o13CRnLOOdt69JwRXE+5VM8Pt9i2sLweiAnsP8uIHloMj4rr3Agzer7lsu1RZgJvHINwQkwBInIaiFHjZcZmcJd4/QQ9XHK9zFBnKXEhmLkFymSQGi5vOa7N+mxVGe5Ox5kUzCOIxQb6kZhHwmwDMaK84N7pITMtmetIYS7YtlsM44Bn731H6jxZK9Fnh1zGjplosbOz186TftRG528j/5EAzNuwWX6O1fa3XZH9a8q7sJv+mvrfNuznbe5fBSi6Clj3MjbEm0CNn4LZ8To7f0xf+6Gz/jaMo9cBIK+7/qZ8VwVp3gZEuGq//CnehZ/DwX7Z83vVtZf1xdfpfBeG6du011We/ev0vayeLwMNr1L224B4P7X8lHp/zDfmPxqAepn8tRat3lT2D+XH2mGXmiglQkVCWyOlwPQNRZ3QCkGjHa6wKCfRViJE9nwzV9/RBEWKJyaBuEnwCByOJEYcEsfz0DtlOnTPg+wgagSG6CJ0Adk0ZNrjlKTsQdHvEHWETpBR44WkjgZMAeTE2CO3FqMUdS9HVfXz0EKnsGmCDArZRKS3RAKNBm8DCE8WAj5ElAhI2ZLiESESO0/0OTJoCgIeCFFSx5Shfz7JdS7DEwgy4DKPkBIFFEIRSbDRIUJDojowGqJBASoCnaeLAi8FAwVgwTvixlCLlERJ+qKkJzweR7dpaFtPsIBqaWRDVBEnoKkltVNsdCS2ArwE9e//eoUyhmAcQgfaoCEYdJREsUFFi4wBLwTOa7pO0JqUpEtInGEh5PMQGWWJZgsfc2JwmLTGyA4VI+uoiUESI3hvEFGAELRSIFJP7Adi6INz4D3Se4gOLx1tolEx4IJnE1JsaulGLWmrnoeulYZBkCTW46qS/sATcoEPmm5Qg0uIvkCzwmrLIhH0o0EnkbRnMMcdQ28ZyCVy6YkmEIeekHqQAVWBXlbE1qEDVO0GpGCsFBemh4uBnqgI3hJ9JIQa2V8jbQ+/GtJ5sAYu25yiFvRsQi4STDkH2ZCuJevSPu+7JmOjCoLR7A0dabIhix26aDh1I9qmoKwKtFsjgDL0yIeBJEjS1ZDKJ0TpcVGQxAYtEupiSFsbbJchTKTzGYI+Iz1gKTKsCIzVhk3R0foMF3JCmSMWkbQfiCoi88Bg2rHqPBsDUQkmuSZTgXTskQuHsB4ktFayrCQGC2mJLxpSKkRbE4KjoseKNRvRsJ9raq2pXEKvmnKpPCtp6LQFUROoaKUiJi0qtiTx+f42CIM3Gdam2E6SmjW5Clg04yLgrKNctVB0GGfpKse2soQQSb3gfppiZMLECdqNxJUS2hxCICIIKmMdHOsusIkdsgoYGTCZw5iO4ATZvAecgNXIeYbbljjtYVNhfEv0GhM0ImmIEVwIDGKKtwpX5qSuRuQRoaHJLLQas87ZHee40NFtBFnfIZQlbFp6qUcb0HJBawvocsgtpgrQeEK/w3lFJzVdkqOlIhGSQsFANUgZsUqRhxbZeaqloCd7UChKIxBJQMRAwpJNO6ITKWqSkCiBlhGxFRGbnNApNukGFT1aBLzzEANCBFLlEKnAKsFMbGh8gY8JYqNQnUT7QC5KYrlFtAq5HamjxuKIRhB0TVQWKSbkQIgB31hiapHKonsRRIvrEohbJLZAWMd6HsiahERIaiHJpEYKga1LrM2RwjBULWgNWlG0PVo6rAKSHk51tCKS1x1GpVBEjEwxtsXQ0ZkGUXtk5VDREoXASsUwZLS6oyoq9EYRfEIzKJDLCqEyQprCRqGkwKSBmXDEzKByRXFuCdaA1oR+ByYQY6TrEpQS6CygkhZJIPYafAMQiarDhyECh/QVwjt0UBQhY9YJfBNpu0ieglSK2uQM2RCQNKIg1B1oSywqiiaDIKiFJYiIUhGRQeoM0gZaUdHmEaklqlMEqUAJckrcv58gqw2IMkUDqWpANXilIYCogQiNUTgBMQakcnQy0CkosxLVRZxPkHWN7HtEJqgag3MRQsT4DKEDUQVaZbFSEYQgKUu6UhLTDN2rkUoQQ4IRGQFFiBETLCmaVBQ4FBgHwuODQXuHtg5VSpyMRCEJecS0kV4VsSMQvsPYGsqIT8HmAt1K4Hno6JvkyqDUq1bFr7KifRUn5eeaeL7M6fhbnIT/NeVN7KG3ZQj8WFve5d5V9L6tc/F937gKa+dV7KKXvRvfp3/Tu/Km+r4uBOxtQKlXAWov5n8Z8+Zt7P5+A/JXpXmVze/S7i+23VXBsBcZPj9kcL3Ybq8DIl8FCryMjfTDPD+890M21duye16054f1ebEd3ub5vi2D6U3sxR8rr2KGvex9u6qe/5HkbQHc/yvIm0DM/+t80zsq77jwgYuiJt/apj/c5e4XFWdly7OyRf0CBs4xWnieiffJWDAOTzlrt7n0knXd0jQQQwARGPOEhgkrcY8YV/ieJFxPYVUhtULkKY+/LlDRkibn7HYdpa+p1Irl3T5yCflJx20Jm3XB4wcH3NgxNEFzVClujs9ph4ajnZTJKiPr1hTdEU/8Hm3Th65Plq3RfYnZ28Ydn1FsLDdKyWp7TSskTZmyf89iVeDoArA79NqE26rjfLakmgnadhfFKQoQHGBsD98Euu6SlDX9dMVNmdO2u2xwPCq+4XYvkuA5OYtgA4mGg33J2TJQ0vHw9mPMscEsDR7PWSlZC8FnLLnet0x05NH9hFAEoojEMw39S1zSsZnCRddjkxQY5QnnhnimAE082ELvZRTdktRPidbyaGnQ3RY9MpaHDzDp832vOIOpKZhpQx402SalKAPlN1N2r1mGn8KXXuKfbaMuh9y1DyhsQLeSR9UJZq/BbCnuX7aohcEsC8hOUIUimSQc3J4zbysuy5L+54EgDDZJEeEW/TSwazq+eprhry1Qv7zkzu+vs6zhwnb8QpecW7jfSf7hf7lH4ivC8pLpp2sSMWPQXTL9Z89iAO1tyflfJP2tlMknI/b2z5CXFd1JyU0Vme30Obqzy4F7RsyXrA6+4ODLGtOLiHuCL/7UJ3eC93tzLn4xpIy7nG52EA+e4ihJzBOkEJQMuIgJm0Lhneb8T3uQ9NglsD9fMy4ERMX2FwnNXCGGE5IPP0XU6+eb8H82JttYfNXCDbjrd+ianONLxW7WBxNZKk/y7SlFHXDuFrc/POH6bsvl5CO2ujNE7Tnq7nJ8rLAbwXVf0+3fQUwEvbplZ9wy6rfsP9vizzcb1kVguxsw8RoRHH+cpXz8yTOuDY5ILiwXVY3dDGnsPs2Hc+ReyW5p6Z1sk8w1G77hrNrweGr5jD6Pxycssw13heEy65h7RfnwkJB8h5zUJO/fRTz7/7D331+W5PiVJ/iBMJh60nV4yIwUlZlVZLG7ye6enZ39z/enmVlON5tksURWZWZo4dqfNgm1PzhrJzs6hEdEZpG9rHuOn+PPngFfGADDA67daxCEJ5Z2doa7dQN/sM3vvnrK4ElNfuRZ5kv0gSQtJTdrEKseX7Q8+g9fMHou2X7qiTsp+ZZnOtlAVbJ1KRifR4r9ikXdMt8Ehv+vc6SFsJQ8WH3BUTbgeFvBrz4n1h2SDv13LRe3NCef72PjgryzTKojRLJEDwvKuz1PZ4rsZcH0wV0e/z9ncGnJfjun//kEPepIyyU3Hg6wy5TgRhz95ZJkvuHwVwsO/kYh6wHd7/cZlkdsyg6rPXp/TqOnfHd8j92DfXS/Ip+fM7m3worA384C/+nemmzouBg95+L//GsuXEkzrfkPizWhUvzqyQT2FOWk5/NmxOUgoIpIMigIrHGbirhp2D6Q6Ch5+XtD9TlwGPGFR/56yfACvnYJv/U1l8PA4q8Vf3m5YG8V2BukzB+OWC4jT774Lb/IBYVO+Du/xS8vztlqOp57SbvTYDPJo0SAB9UkiEefYdwpRZyzlyguvGHTFBQvDBe+YSN6/npvm8fxCYvNki/il+S6A9nzaNZweXnGOllw42eSRtVc1B3P7ozYP9lmfLHDHzYbxmnKIFHMnj3hlpywmw6o9Qv8PKIXG36h5xhxgLQFViScuY6zMOP5Lw5REdLWcvsBnNuOP9iEm9mIsago/Zznrae3GkjIhcDViro33OxusNha0m23lP/VYqcD2k/2Of2nEwYjKO/WtN8ZsqGlOJxzehwwAraWGVxApgSDkeRXO+coLdiPKUeLmxTOccOumJkFdR6xQ415AgFPX/Zk8YQQA23SMX4JZRiQqbuMd76n0w3VJQzK5yTDASI/ZI8VLko2ouD5HBjUyHtz9p4cQA/Pk3OSZE1MJJcMuCUzQux52kVW+wYVFeZ5pBtO8CHScYZ/McVnAn/zkqW9Sx4VB+1jnqdnVxtybFL6qAkqo94tcOtLQt/y0hiC7Ilp4MVn4E4DYt2RuyP0vgMjWF9IUtFSaMHB4D5dV9N2DYt0ST/cQmrDpydPOHl5yPpii4ufPUD7NSImdOJLtsMxebPg7A9bGJlgTeDbEEEuEaKCo33M7pJiXLNzOWKhHMvU8fj+BYennk9mnm8OoL9oCeew9xAuduFo6kmTE9zAIQfunbOkH333vY/BTz2xfNNC+qd+KvuvWSn1LvyU9fEh51zHTvcxeLWt3hTvdSTOHxfkryMxfpjnu+K/TW31w3zeREyEEN5Y1lfJl1fxw7xfLcfbFoevW+i+T39/F4n2vuTl21Rcr97vbyOSrtOWryPvflh376rrV2PEGP+7NnzddbyNMIT/nhB807W97rpePf62MfN1/fDHIqWuSyq+2k/f1F4/xJvq5m1xfwr8S/0evO9Do3+tuK467l24bjsIIT7KvjcY7LLlO0ax5eFnEKst1HKLoT2nSToqY8lQaAuqg7WRjEXCNoblek1TeppRID/WuFJgtwT7RztIb/GxYiVuEtIGyjl6e4vY9bBeM11aQgh0OKIxhGkk3PTI49uISiE2DndLE00LYonqI0RBkBK9uFKyeAR7tyTSOdxZx9GNFNkO2H5+AGJJZzpm457DxRicYy0ucQmITKImhuFsgwrgjSFpBLbPuez3GYgTNC2EwEBYnMk4nd6jXK/xsea8XKDKIakTTI5WbN8tkQOYs2J9tENfaRBLpJ2ihaAcHDFXmojgsLOcbxc4IzloOqqlpG80zg6YqDlK9ZyplH7P4jNBuNxFGEkaPV+cn7LaunoJ8abR6PWUpC3ZQXJ+uKAeVNx+7tjkExqd4tZnuCQiVGS/7dAjiKnk+DIj+DFS5NydnmCXka4SzLOI3BeoacLI3aK6WFMvl8jdJXkVMY1kdusuSWwxviXPBZUfsbED/JMjhIzITGI+SxktUgYXCc/iA0SvUbZEJrdB1AhW3JYpbFW47SXpi4zLDE5GkVHwFBIKLVhkBjnPSE4K1n9zAjhUBZ8uD2jywMWkYXPqiNUEVR/yVfmUtKkQs4bTX4AdppAO2Pltj7OSZWJQhwV917I5uySrE4iSIBTLUsFQYfYM7vcDir7hIH/B019KvB6RL+5y/0lN1yR8F3bo+gUj1fN1GVjaEYlo2E++Z8OI9aTk6BcT1rXH1T368pKRLZCtop3Dz28rBkVOE/ZZHD1gI1ecfRXZOb2JDgNW+wW35y8Z+IpkKNGjGu8tZ98HTNxDxRRihRsHulJzOtqleLogrTekty84CiM2ISHtK8YUKJlwZBxfyMBu75DfzThSN1kzZthZ1ukZPmm5K+6yGAeqNCDPWjajJS7rud3fJm02aNsj9F2erS+Y10u+MooXpMyE4eui57jsucwd24liYlLyRPH77Jy4kpi14vOVpEscbWoRU8f2bMx4MeUf/2qHfrUgXF4SWLDdpux1BYPkPvW0ZjNZkX7jqMYV6/0NNkp2NhP2FxN+Ux1TqCnTZJ9v5UP8IEWNxnz5h5zNZMHJ7TOEmFA2HZNqjdzRbMqEWZmS/cMhYRVwdUP3y2fs5hM+U/eYvXxKn2rs3pRSRsR5SnhY8uTrX5NsYO/7Ken/YlEB1JFCbJ+jsWQ1iMkeC5vx8NLw78sOkdWcDGeYyy9YrzVPLteM7nlGecO+Oidt7oHPsN7z8kRTdY42zImMkDJQqBn8HKIOuKc9mRPIzsOyZbeQxERxrBLKMsGbyLGpOFwIUpGxvHkb+a1ABdD/j8jdfs2gkfRnN7GnDY2sOP7rp8TLA8J6TDWbkky+I1eX3HspcOqAWmT8xl8i5QEiKYmTOVsbw7AJ7FZPSESByzK+/cWQxgq0jfzH3nK+1bIpLbuVw5ynxGXGY3GDuqnpbY3O53CzQY0ddx/cZFPW/6xSguES8go2wbEZpbRFxu2zIWdRMgf+/WhB3WmWfcKi3KJ1a5zbsGMOqLdOabZO+Nm8xDKhFiNWpyfsWM2NmLL+rKNdKNpzzezgJakJFFJSHQ0RyqNTy2h+h7XpuCyWJFXPoAxMtiJn9ZAw6BHbG+o/aAYF7O5B+jtHExTzLKW8WyBxxLbhpZFQQ3kp2BnUyDziBoIX84hrJapV3GpHtLnkaD+ww4JRLdm6GHChB2zSluXojM9Hkr4teXB0g2L/iEJZpq3m5FLQGI8/bNleG2SlaC4UjTR4pQlpQtoEZBrhTiSeG4LrcYNTYnaT3CnunJ/hk5TGBF4Mltw+yxl0BrKMF97gQuSWq2h8T5dJlp/vIk/myKoDwB1atPHceglHItCEyMFG0dxKiUPFtLKcX2S4WvEz3XN6MGCdS+LpCa262jjk01HP4jRhUwnavQZhR4hYEqcZ+XyJrhv6XLPXbDG2A+pJhQ01vXMcb24ijEclDmVahi2kFl7sCpKVR28cVWYxRYPJW8gFoVb4NsGPDphUG6abFd8s12+dJ/1o9r2fYiHyPjaQj3n6+1NOyv9UCrDrxvuXfEr+vnXxvu3/rnOuk++ryotXFShvK+fr+uN1Yr0pj7f17+soad5HWfW2fN+lqntT3Vy3zq7TRu+jonobOXYd4ux149CPNa69rU2uo2B7U5nfhDeRhdchfa9z/HXfvU/fehvede+9iQz8GLLiQ4jkd5173Tr9scfl962Dd/XTj/kt+yke/Fy3vt4V+0/1mygGLaENeCsRJiJWDrlpqIYKVwhk6olnGVFHGDoSGkQQuJABkiR6RAhI2ROUQaqUmAvoArJ3YDqgRzYeiCgf0LXDlApnoWsFUeVXtsEQ0HVE9B6ZBE7bCDKSDSMiNsQoiBhqqxAukOgO3wm8lTRtTlo70tBTphWegJMR23UIL4gqoRkUyBBI0khZgl6A9JAgEbandwmN0GTaIPFIa7E6I2pDITrSpKP3HtFlkEs8gSZ6GhUxWmCswDlB7wUq87RWIINE2YhLI0pGyhaqoOijRCmPznusUFTrAUMhSBBIkSN0RJpAKSIxUWgh6K42NiJLI5u1JxWRXAMehAApILYOLyTWpMRQEESFEpayHWCH0CURtEU5S+IUofeEAAhJVia0EWwl2O1rfN/igqWpIjFEuhScyIjBE2PDzj/bYYLUaJ0h6RBYhJPg/28LYxCRIALSCbzRhFRT2EBoI+1C0GQNMhNMEsmy0wgkJYrGB7SI6EzQASJqUhKkFkihwBkka2yf0s0cy2gYek+pAnX0CBcZipa2gdgrUm2ovaaxKZv1ADNokcHh60hc9kStCHmkEYZMWMY6ki4jLu0p5RzlJSYmbBnFmV6D6ZBbBjfrcMKzHGU4P6DPE+qwoXQebx2LXoKTqKjBKEK2QWQ9pk+RIhAl9HpDn/VY0TOf9mydCZJ1hnDQpA1OBkKsibbFR+h1SypapJLM8pQoNhBqhAyYyjLoIBEKN+roUovuEpwTtE6iQiSRgYFwjN2Kyja0WLTs0VsaPVSkT6EtIlYEWhUY6cggCi6LSIwSodWVHbdPiA66GDGpZzT0WFPiG0FcB2KXIESCKBNYRYRNIKRUqSUXOekgYbCpWIiGamJRpx42DtE4ur2EKlesBjDoPNYnBDWkaj2jxsDGMLEBE6/6CQOPTgTZOMFoUF5BnTLaKilDoKgdFyKhaQWijpRR02UdbVaTryHBYcc15dJCalgPCsRggxQWfEsICv75pcjraoBKLNlojUEigsEKiTSA8GTSstl0JNpTbOW0S/BRkLiUys6RSctehJAK8B7qNStpqJOexCxJ5gaiphqkJLVDRE9Y9ESXo1xC4Qy2VbgAFB1ZVRNryHRBnkRMlrExGXJsUcFTyp62T3G1wm46CmfJdWRUj1jYEZ0r0W0HxhOKiChACYH2mnI1RJgBqIx+ukBaQ+wl89GYaQSZQj2KZGtJ6aEza6Q2GJVTmYogQBKvXoqtPLaVtGJEIjyFsAzrBpf29DJiJgm0HXZjCb7Ei0BQLVrvkEdBT6BC0oee6HpWMUcISaIGECFRXO2umEViK6Ex+DLSNbDpBPQR4yIqBl4YQGqKaKiiI3WePEZ0rkh8JF13dAhaG2kqi08CTgZ8D9iSECydrrEqpfKKVa8pg0EhELbFFA1eQN8pkjySWAhVJDqFcIKiA+0DxsPACaRSOOnZJBs6NSUkApNmuCBwvULWHcKnkEgoPFmlCCJSuYhXAYxCDwyyjoTeE3tNJ8TVg5Ek0PcSaSV5Eeh6wCsCOTkOIRzCaJIiImVk06cIK9AxEGRCj8PGSNo1OAcxaDIj0D1IK4lrYGhBBXwwdK0iKEjoSWOJjIagalzqsdkVyZN5jxKBZgBu0RFrcNUA5BChM6SsaLVCmAJGDucsvquJlSO1gsRrEjpcn2K9oRtbchfIexh0hiY4NpKrDVaGAldqyswgm0hsBX4IRsHAvHvu91G7730MCfS2xexPhesQBT92vH9N+LFJobel+9esCnsXwfEmYudNpMEf/95HjfO6mG9bTL9Pv73uee8im34MXOeeexeJ8MPvX83r1f/fNa68Lta7iKm3Kcuum8+b6uBdaf6Y99vOf1N5Xvf/D/N5mxrsdeW9bt39GHif63zTvfnH71/N903quOvco2/K98/4nxuv9qOfol/3t3vml5rV3OD7jrFbMWLNy8lXhOEckff0Lweko4bRYcPgHNq656zb0MQd9uqKT9olD41B9FuY0z3c/u/o1indxR7N+DnKC5ImoWqfM24j+1Yy+/IuXdXTv5xzI7uBIMWtJIP692jTIadwWjn6aoSTh3xpnlHbhCerLWh6xNDT38/oH3fEOqPvt/ji2Tn5sCXcfoYVIF1EbCIn5gSKEnd3l9R1FLQcqhXdXYFtoT4PzLWmjZpoA5fbJcQCcapgoBmKhs/OHrP6YogVA9S3ByT9U4Rs6LOMp5d7yDlM+gXCL1CZoBt0hG6O7BW1zwlZjy4CTODghaarNE+NwdyyyJ1I9njBMHXkMmXZ38LJFyRhxWeXS1yW0Izgex3Z8wmZ1fT7FfurFWXV8c1ckYgtErnHpX9Gs+npRY2Ud0jiCancIMWnLEcw2+3w4feMFufkleT7sx22RM7EGIb3HPOzNdXzitA+Jos5SUzRTUU9hc1IIh9k2PGSMFqS/gHUsCKOFbvTLzGDGclwjoobZhN4XEZufhtZJ57ZyKHWkeJgwPjeAPd/nVNfJiwuc2Y/rzlsJX/x0vC38ynzkLFUGdtfe8b7LZNPKxZ9ZCCG3Cj26J49ZC4SzooJ2ycRuiW1e8i3l1vcSMb8LBty8esVSdGQ7y75VgUGcsi9zYTzf7ygFjlW3+P0xu/Z6eDLh0P+zrXUK017XBKSp6AtmU7Y/o3G05EPHjFrIdfb/MVgh/9r55x01LG7v8Wj3z9lJg2PfvYpyfMtEmuZrJ/x+XxGF3P+bv+X9HZOISL3yzF5Pie2C/zz5+zovyQz+5wsv2dLnKP0CWf9hmbxC8TskLOVYZb9Hj/umN4bcf6Nol5FmBo+y1dkeUNczWlug4iK6WrEYAa6VZSH9/m9esisv6T8JmH+SUaVC4ouoLs1GR0DOUMkig7Jqn/IQH7BdjohufWAVadYrhLiYM3gsCIrWh7FOY029CLjV80h/uIU6nPOfvY5N3XOfWF5usg5O4X1kQCGTG4KhnuRb/dWaDdEuwHLC0u7L9nswOE338NhQbM/ZfrbNWPXU6Rw9lXHgg3r+pIBkWS9S/7iAG7PyNY9sl/w5e4hp/2Ip/WQsPiEcZmwI3JmZsbajXGXt7g/EOTLE3h2wbMjT3CGkcv5+n+FzdjzwvRs/b8TZs9X/G12xv/m7qL9lO5oxLP0AaGtSTT47C70NSE+5uy7v4atmsHdJ9z7/Q7VOOM3/85Qti/Jzg3Ts5s8COdkIuE2t3leVvRtZICm83MQHeuB4nh+QBsDYfAYt+iv3k11TzP9TQp2wsXuBHfWM2jWfFk9JRclkYyNGvNI51TU6M3v2e8hDxmC+6SfO/Lccf/xin+4a1mNO3bNkkePv2Z9YZBb/4W/lLfYbqfEf9yD2wnVuKZ2/43buaQsJau/gHPTYduUT//PQ/xA008E890Dwllk6WD9V1/StZ7SB0KbcPv5OTvzOY8/v0SHQ6inPHp6k93ZYwr7nMXnF6jGYjpJr3/JIGkZVStCd8bkaIfhxS4v/nPObHNOu1zSum1uuTm33JrjScdW7DmILb9erThwjkMReTaPjNIpk3zE8086dorADQPfzDb41QC1gsl/2GJ1seLixSnJ9zW7QrCbKKg9VbODXR7QxDkM1nTjFWLwFLEQTI4lz0mw7uoBQ7c3J7QBaoFsD7HlhqVqiOaQ6DR0niPbMxWSw5ixq3saHE1jkbc0sQX7EGIYkeHYE0tWscWs4dNKcRyuFKNPt1vEwDIMhtuLA2Yb6HxHas649ewQW6Q8uBW4nUeM27BZbsj9CJPntF8bxDcv6FaOFUOEmCCDw9THVHKCifDpqeRRsFgSerGDaV7CqEftDOhGJX2jeXEOk/kpsvc81DeAMUVv+ez7ZzyJE/pkyMHIEM9b2sbxXRRglmACJ/MDzGJJsmo4awJjkZImA/pdiU4cuevp+4wDUjIk3yYLXB6JnUFXXwACgcVUp7h8GzcYwl6FbWY06zO+r0fclQk7QlD676jFDTq1jRh41q6itz2fxR1eJo4T1YGYQZmj8iGfVFNmdsMsrknOTlCHDj57s0vh/zcXi9ecff0p7Huv4n1UAtddIP1LEFI/xQT3Q5VS18HH5vGuBeJ12up1NqBX83odIfEq3kdh82q81y3KX4dXd1Z709P4N5Xth+e8rV7eR1nxIYqnD8V1lVIfovr5YTu/zZb4ap97l1Lsh2k+hOh50/G3KdHe5776YXop5f+gLPtQ1dGbyvMmYuq6eb3puzfl9zGqqT/iTTa8Vwnj65b1XeX62HvkbfixfiOu87vwPr+TH0LEXeee/inxtnHyQ+/BP6b9qN33/lNKuMyJi5zJ7QR5voaTNW1a0OshPhnyiawJk4p2suHihcNZQYyS7Z0Mv0rpz1MaKZEqYBLPITlr03KerbgdLbWLnDsoJgdkVSS76Lm8N8W5DWFzTlZ+DklPUBdoX2OMISuGzJ+uCU6AMhSyIwRB6xOwgZBJ7FSTXwworGQaA2vm9Frh0hFOHRGDI1pDth/QqkB3B9TVJSJtyPY6/IkiqSKj2vMy7NGhUKomGU4IRtAka1gPSHvNjvXUxRwrHLY2TG9VRARnj6bESQXCo+cKLcakOrAzfIFdpfS9ZiFSBumaTFnSGKlCToiKkW9ZlkPqRFGLGcNeY9yVrWP1SUI/TijWY4I9J9gav5Hsui2MLHhyC8rZCr1qmVU5W5ki15qLZoAJ56RqzeRwgFj20Dmaw4SqVzQOOjNnZwmDSvNM3iUVDansMOkhoavBV4zvnLG6LFivcpLbFkyCEJriYUWbOLrCsz+1xHWEtWKPnyMPLxAHZ9TfTGjKhmZasxAlk5lh69xwJApGpmcrbTgbVFTtiE09oR8/ZL/JubOasmFIP6lo9+bMyz3GsuZAXPD74AmLLbKzm3x651tWdeD5aUpOSWE1w1rxMlnB1JHe8IRvMrzTuDTBy0vGKG7GIQ+6Ebrs2T24ROkakRhUNiF5lmL7jLUc8XL1EpFGRnsD+p0EUVfoRy/pDzTToeEvJgV/u7hA9Rl/5e7z8OARMTUc8nP8M8lq3fOomfHXyiFyyW8OC5AnxFYQX95m7+tTtFlRP52zzb8j2CHPLpd8+vUSMY78ym/zi19bpnOJ1UOeJjXLcoP7/Cl5HKBJCDpy4AXKe75rloQ8IDwU3xnuJCV5WvDd/gEb/RAvZ5ROkpg9iAX1iwXiYgvZatTuN0wGmoE0FN+P2dyZUm8ZlsuXqDAhkYaDW48YHEWSTeTkLx3N8gZ+PWZbPePCt6wD3OLfUW5dYIYrFt096mcL2qMlVV0wTYdM0gwXv2E93KMu9kjP5wxkSaZznuz9gbweUtQTuvvQLyNu4bl/94KztOFE9PzF396jn/Rsbtb024LBumU8bxkMphzJwEMc7sU9siAYSIe4FagXjtWRZXy/Qbc9et4gTYVtNe0mY/CXX5GXHYU5w/0f58jWkejIdtxnNSp5vl+yvfWCtMtJZgf8/uZTSlfz2aLjTBxQNwn1ZeRmfUlXFhzdvIu+uCRrDUO7SzH5NZ6GTa/px4E+F2xKhXjmmHQpX8o93LCj1obTuM3lzh/o+5bwfEA6sOSJYlsO6Ta7WCXp9hdMO03ZWCaXFzw7OMT7hP2Hc47DAFTg3viIp4cl3ig+WTjCtMKJyOq8oL1wyN6yP6o4v7FHkxnUYsX6MiP2ilsDy7xxdIkm/8UB2fGGZNkgm4rLwQ2cHnJ33fEyvWSRWcL+XaablEHtyS6/Y92MaUVC9suHpKc5cW54JHtM2pGkATXcpmeDCx36ZMq2NwyE5uJQMt3UDHtL88UWZ482zF92sHNA6eZkfsHmhmJ/LtlaC77/VJBHSd5Lzp71bLmUKYbHow4hBmgGeLOirByDjcMPKqT1COt4eSMg45TUbYN5RFJLzMawnjiCAzqB83sUVjLqr+brdbZhOZzTFTcofc2kmxNmJV0SqYaBW8s7NKnhfCrxZc9EwS0EHD/D15auESxHXFlC8xRzVOF7QU+GRzNUPbfMmkfdAY0weCO5oS6J0bD2exzISK83vMhe8MVyjyAkT8uWzEVCSNi4IdlNUNIiFyuS+RqfeJa3DLEeIBMwu0u6bwdka7gv1vRxi04kLJOWQS6vCJ1bNe7pGLFKGPSRlb6kS3vCNEfPDEUT+cRteBR2WIuMLLGIYkWUllClbIscjeZpYzk8DAxSQfO0wI+urKW2v2ArggrwfQUHB45i4Hm5ENhCEoxECAUxomxg93nNasdQTwyUGbmvSEOPEVvYowK71LQ3lzDTxEph77RsL2rG645EJJzHjEsS4uCMsZAMhWJdaPK1J9tEjjlkdDMyOXT84X9/+tZ50p9s970PwbvsG68796eI/8cyfGja98nvumTTTz2x/7Gv/X0XRT+FleU6C8PXkV3vk/f72mRed/w6BM/r8MNzXqfceh8S7McgVV9N97Ft+rY6fhPh8TYi5H1Iklfr9tV8/vj928as1/XBj7kXPpSYvi4Zd924b+tHH6Ie+2EZ4b8nn97WhtclPT+EHH1duvfpz++revtYMvddeb4O1yXTPxbvo2z7MWJ96Pk/+rX7q52RAoGsKSBYfFKT2ApcRuglYquH4IgbcFZBUGihkcrRqYS1ShBGQWzxvsX7kqgiKIvqBISIF57cgnEggVD3xAgy5DQuoKMjFY6gE7qY4KIk8wJvA871xKiIxCubYBJAKGQtIYDEo2lpdEJPgqwV7Vigo2DYC7wXhCighTSAd4KqBt9FTBCYNEHVkElHVrT0sQUU2YgrG0kMrJWi944ge8Qggg4IlyBDhnYzhLAEP0TLFB3i1Y5FCCSSPAS0SAgImtbSKEcUgYFX2E7gQyRPBZ1TOCvZ8hUyDkAaQqYITSQ2ARWHaCvRIiCUxgcBTgCR2Hl8d/UxyzQm0+hyQ2gi1kKVSKS1DEK4slyEFCtSROGQ7srOR9USgyCIjE4MccYgigRyg/AK2QtEubqyv3SCepSRtA7TR5xsr3YyxNDEId5FZNvR72a4ViOMJHcVuuvwbUszsLRGYMmJdUZsNdFF8qwH4+hSCLHFR4dFk61z+rqg85o+JnjRI3SPcrtoBFpZjNJ44YixJUsUzktcKyjHgkJEtOsJI48cOMqhpd8UuCSlHiZslQGJha5lkJX0WrLqUtJBBjrQGYEZasRIMi8cyTxBt5p23ZNsDUiUZto12E7irKXvHEFFlAzEakMx6ghacilaPBlaQEwtm+aqjwcfkUojtSBpNKlcYlJHN/KYeU66KqiWmsnIkiWRts/oKg19RHYB13tiDDh5tTW88oGmDqSFRiYGiyKSI2SGnCjkRiNcQkxyMhkoY6RHUQnLRnhClAz8lY3SqxTfSuRSIrxDuAx6BX0kG0AswC8bmk1H5y3WdURlEeOAMA2eEotmECy997Q2IrKAdB3aBYRR5AuYLjyXqabSgk0EQY3oBdEOMaMEm3l6L8jbhOgsSyJ52v6zrcoTswq3VjSryOSGwoYe4da4dUXwBs+ILCqCibippFMVyjlMC432pEpSugw7EdisI/Y9IknQMqEoIwKFVAlpCSLURF/i5BY2OyMmlrT32EWGtwnSSHItcX2guajQKfjMIIuckGQIa0jQZP0lyidUcosmT0EomuUAPThF6QBRgN4CowllxsZBUJZs2JHLmhgzxMjQiISgevpBhQ8pfQ+XoqHsIjiBP1cUrNBpD2FAmyRURkC01HVAtgkum2Brj9WKRJb4qkctO5LMYeOGLnhSZ2HcE8pAvmpRbSS2HhmXdHFATUHpFEllEStLmTeoRF7ZbWNAuwTZQ2nXFHYXo4bEUUdwHt839OsW5R1F4lHDFt8G1q2it4EqBrSEKAydNPjEoIUnYumjI24EVkRaCZlQaN+QhQ121RGFICqJFgkWzUZItnuQLhDwiGEg9gIb5NXGDFrQ55YseLTypCHQCxBBoqwkqgBBINb/PAbnHtIOrQxSRiKWiMYLcErQNhaHIOYJGIUXmjrmSJHiRI8lYJMcH1JEp8k4ubLOCkuiDUIK0iLQ1jVYwaDusFGAgKEW1D5ge0e6apAqwacakp5cdogAronI4EFBlUKhgBiwvqMuUnQGg9pxuZGEWqFEjdEAkj4EMlpSIj5GQBAjtLYnAkKpKwuryhEkJKyRRBCCoDS99HjhUJ28sqqGQB4EIjii95TrlFYKnIoYvSZkGpFKIMeEnmgr6g467Qg6khOockflBMgBiWgxsUZ1FukEIaR4QJiISRw6wqAPDHxknVp00JhgMFkk+Ei9kW+YHP3f+FdNSv0Z/7bx6kLudUTLddRS18WHLkJ+SEYopd557ofGeJd97E1xPkRZ8y68L/n2PnX7w3b8UFXOm9J+LDH0JoLgQ5Vi18EPlV/XIbtfV9Z33Rt/JH5ep1B8U5yPwXWIqXel/bHwpuu6Lonztrb514A/tdXwX3Nd/EvCVpHgagQtxZMbmMwiJy3n3YY8bNDB8kBWFLPIcA1ZnpMxpmDC7PlLehGhqBE3xvilxp0kHOXnSA9mnnIMWOkQyjOZnZB7gVaC1boh+DHGfsp8tWFIwh1xk4qeZd5xNt7waXM18b5IDNt9Si8DF6alL3qkl6RrEPGcOjj6tqXe+hlZCOzXJxzfiKS94NZlz7cPSpo0RW3Dz/aGxD7h2VNPP+xod1KqyT43vjthGC3DfcPvLo9w5NzI7zKXp7TUzJMGMRSIwiAnY+aPQa2vFCbTtSKJDVbMiUxoUXwfA8SMAs3P5CVPb++wzhKSB3OSpiF4yUOxR5AzMjo+n5U8DRlNhIFsWIuaJPTcXkCc9dg+4ezmLdLLl2T+BHLNMOakfcoKzzzmgCKGY+LBLmF3l/P2Gzapo3UKubzHva0L9nYXdN9LjuIOx+UYbnzL9DxjZ57Spw85ddss3BbLR5+zs9uxc7tn1iR084aualn/8g57Jxfsns/5Pr+LyDYos+KU5+BTYjPB3t1FzkAdN/hRyVlRcXG45P4jR4XihU7gNMGNJXEa4Ls9lF9h1BGLNDLvdzg7vc+w/AZGOevJIbd/vUMzlMy/CJx+N6YdrLCfbBj/NqNzDY+TM8biaybzNXsXD7iYrHAKtteQHwqM1WSnAvXlU2KSYdt9nrg9bCswq47z7Fucauj6yC/3/gNhrXn5+znbBxnBwOpmz9ejjCYp+Ltun8/6FaXd0Pk/UDz8jxjjiaN/RMU9VAFsz4hzR99pFk+H3PiFRm1JNltr9rjJ2CfYfJvfPE+Y2xXx7vc4fZOy1mwvH5FmG/qh5/ufa3b+6xdsn5Sc/+om2c4RhWpYnh1yHmockaH6DPCoomf3r87IH7SYk4qDI8/2/RIGmv/6XY64NyTfhq/HFXpu0F1JXt/Bn5/RdWuO3Yx1nsJY8R8XFTQNjc34r6P73G0Ttr3kdBHZiCVtseDpg33ufDFjZ7rkN+G3iFOFnmnge9ytAeGzHMwJS5ejbcEvmoi46JGLhpdfCXbDKdou+IXdJvU1Ki6pHq4wS4PeZCy+8tQvb8KTWyT/60PqsyGnDz7nPxeRo3rOo+qCvf94CWFEcDsEvsX7Ibbe4+e/goXa0MgF9550SPax8i5PSHCHLeJna/bVA/q54ORlgZtGlCmZzQ7Z+mUH8xXFP17wcPwlZdpwM/sV3v810QZcc8JLljQDgby5Q7N6jIktW+aI50cTZB/J+g19b0h8xi0VeBg9oR0yOf9LZjcsnVmzMS8Qv+sIbUWxfc5OvM3GlZy4lDuXM2Le8e2WQGSCUgo+mWmeP3ScCsXll1t8/v0aITf8/t/luGRJjB2/q2H/mSZvBN8PlsTlHlmXcnfdsHUILiv4b6u77F0oxiHy8lmG93OQkYebCXeC5kDBKmm4cAaaLf5KjDhxL3DZc+qvNUF/gunG3Pq7c0gCrnQ8+jmYh5HBZSC7MIy6ngxH0WjSBmIa+fVfzSmf7DE8K9nff0KMCUEVfCVPcU1Nc2l5vKw4LFruHPSoScWLmHLcZcRvRlxMFlzuLMkeAMmQqKckjWajNyyShra9QRzOicNnbJqCxDtyLAmwVIqlTth7VtDonrV+Rt4GVnHIpZygpjWIhjhtmeQBKzpOWBKblsl55OAI6ukRjVWcdin9+A7SNejmnEdIgl0R65fs519TxorYP+Ps3oTNOmX9IjCqNgy6wGCV8/zGAVZKpBcYnUAzYDXbJkwBDywDgYgQNca8gP4mmYCb25Jn7ZK0gs9rzbnXyGHN/icrfvegpK0Cmobq8BOsjoSjJxxWNdpGTkPAZj1+KHl2ALcLheoUPIL1ZE2eBG4ew8aOqFTCLLnknlMkXcLjecmWWJIJS/PPRRQikGUNvR3ju5Sug6MbOTpTjL/VrC4vmOsKkgo6MI3mrt3jSM9pVMVnsac/u9qs5CaC1WlLHx07UtLdK2knQ87SCfvrI8rqkm+mK6yNOCuYdRvcjQV8ouA3X5H5DSWX5AuYuX1ess19IylunCG3Ltj+VpI5MBGGStCKEa0csLf3gk2tWD5K3jlP+ldt3/sp8aF2ho/BxyilforyfAj+lHGvo6L44+d3kQbvInTe1Dbv+0T/TYq215XhdXn8kBx4W9zrqL7eRUZ9jJXlQ89/EyF0XXvju/J7V/yPPfdNMV9H6rwa4482TyHE/2A9e592eh+y6E0EwfuoT39on/zj8R/2w+u0wXUtjq+7huuq3d6Wx+u+e1M5PlSZ9DFEzP8MJM51bHE/lhryp8CHEOmvXk/bth8c/6uxYSMiGxEJ2YBh5xm0lotE4ScQxhF/LElqR9J6NskdjHHkpqWxLan3FCFwclsTa4GaSULYRg079HRD+2JI4RumcoHxgl4qaq1phCBqcaUoWOwCjphsaLc13vR4XVEcK6ITWCkQ24EgM3o/Rm0ukUqj8zGdPiOte7bOAiIpUQiM8zw9nBCiZ3C5pEYRhIJEo4NEeUfar1l+Cl5pkouC8RBUDNiVRQ57AhJbD7FNj3PQOgMThdSR1Hf40hFDJM4lSZ0jfQLCEPI1iWw56FuOuUmUJT9LIw+zM1Y0ZGuJkVOk1vjRnDiriR0w2CPbrFGuxxpBVwjIFdO9bYZnkmSjsK6k6Z/Rhorz0Sdkdol2NS0R58Z4DHHnBUk5RekcfXlK2VgSG6nZIh7kxKkE8ZK21vSNxtSOrSIyyCIn0tGT4VzO8HGJ1xKXgT/omcwaxsuGzT2FXwXcCubpBKFzpDEwuUQ1DrmJ9P1N0sGGfLBierHLJq5ZsEAuc7KiIxs3MFVUpqTSI8Zzh1kIkgvBXIOVBVYNyNLvUOWIZHSD7e4CrVowPY+/NwxSw83tnLxtuGxTHm+GZPqUwaRm+3DD4tshXe7objbclmOyXmI2cLZZIPyAkttwa4Sya9TZU769U+GKlDLZIlvX6M5gui265Sm9FbR+iPok4HHU5y1/gSezCZv1hNP7mj6PyOC4//yCpO1ZKRikE2KILNcz9I1t6kzyMC4ZJgqdJIiivHonUNdy86ii9Cm+yDn6ag9+41G2pfybY5KjjO4y4/GzCfc+XTEyEr77hGd3KppBw367wa92UF3OrnRUh0e0w4Yle+weFWSLyGz9HYvPD+mmQ8YzR0hSCBHz4jE3nWSUSFZfKWZFTx8jn/39Lu2NS5rthjOzh52lhFVCWhtqzun9gnxmGd13mEPBw+VN1Pkata6xN8Yw7WDQE7shsbEkteU/n8FFt89p2GV5w6ObNWm14jMuKLUkUwlV2Kfbamm3a571GebUkp9amr+c4lRHdC1fPPiE02bJU3vGL6aBzdRwPk355FFLiCWtmlAua1ZyzYVe8HMb8Vspq8MBz1/cYaA9B4OKy+UFiW4ZlS2nmaNvRvjFAQefnNG5hstlQzcomajAHdGxavZJhWYrgX943tEPDOn9MelaoZoGubkkbuWUleHwScajX76ELjL5XYnJZjgp2TDi9JZF6YS9bsL6uEdaxTQbcr6j6GQgbho+23sBXvDo2S2SnZwUy/blS57VY6LIuDvIsGNLM+g53dsQ1gMK6/hMPEUke8RW4h8d4+9OCVITfrthOwtolXLp7nFpLnBJz346pBtrGul5eX7KfVMy0SmNyDi+HFLVkYl5jHMrBILh4CuK6SVGt6gHOyR3Z7hRzR+epuw0JUOrEemceV6w0RJbPWerV4yiIr8ROFtnbJqcu3Kfy7FlWTjEImN/cMagnPNPJmNy1jOZ9fQJ2G1FN9Bc/m4K+z3Jbse9y56l2GOu9hB5xd58yfZyzZNbEtsEwsaz3To6P6aJY0xySp9aeuP5xcLQjsasp1O2T+d45WhN4FhaRrpgNxnyIA90tScsPbs3UoJa08UZ9kwThMabhO3LMTJrEJMZ5fKAtWk5G15SrqaYPJButzhVoutIPnMkrqKNkQWamI/xDtzG4XcEQkW0c7SbgmgT6Az5VkQmzZWl/fwTMmcZ66e82NrG9YbiWKP8KRSKeGufyctI6Dsu1SXteA+fCSgXlKFFtoFworAHE3whiHrJ9mlE1JqLZkzMJWkqOCggXELfRs5EYLy1IM89pRlzeRLoe0e6XdNsUlyf4P2A3Rs9KhEcPZlwuDcjK2te+Ii70ESXIA8H7F5ekrmW+f0Cd+bQq8hnfcpRTFnqhPRmSq/O8GFNcZxgD6eEMiP93ZrBYUAPIw8eWQgpAkWuK4LKkMpwy7SotkF6S3tQcDkbstpklPdnjIqOUvas/skThUZqw57Yopu09MOGwWmLZ4oTW/zu/Ju3zpP+zSql/pSLgPeJ9TEWkX8ruC6R8SqB86a6fdNC90Oe+H+MJec6+byJYHvVPnZdvO9i8n3Of9v1Xtfu9ba2+FBFxqvX8CHW0uvUw0+p6HnfNO9abL8tzvuq7q5zX76tDt/Ux99Err2tzG8imF/N419qnP2faXz/U/b1nwLXUeX9GCT3mzBsC5y2NImjkoEEgQkJvU9wIeBjIHWAEvgCohN47eizmugEIoBwV+VIRCATkXVIIXh0vCKMTRQMvMBlYKNmE3MK3RIyiy0cwg4J1mFjTadyFIHcSnohUQKyEFmVEi8SaHKGsgAhcEIQEkPQkiAE2lhEuLKrxMoQAYRFih7klfXOxQKQEFLyGHFe4HqHTDQBxVpohkGCD/RVSwzJ1U5y1iBcio6OQbWhMgEnr9w1CEkUml5qvGkRsiVtDXmqsUqzQSBrT0pPzFO8M0SRgAQhIWhBlSYkRJTzVGiIEeWgdR4tBVFC3nVU3tMKIAoEHiksAwE2jQQJMQ0I2UIAVxfEWKNkx6CtWXQJmz5DmhwTA2X0WB/pTaAaBqpegBRIHVCyonearpUgG4LoAc8oOBaJpC4UZtYiSo3QCVYKYq8IG4jJBp14isJQdh14hwNmRiAyTZZlDJIeHwV1Kxmljl5rltFQ6QSpJEbX+K5Ex4I0GNhqCKGGqgOxi5YZGRl9PiMGQREVflDhiw4nNMENCLInjDu6VhCsoomCZA3RQS0kw9aT9BG5FkSniT5FyAHr+oxUZOTjffSsgy4hhAndekYUltI14DN6m7KxOYSO4GHV5qy6jNIKjBAERqAD5WjOuk+xvWLkGqJZ4zOBShLMxGJSyC9KwnlP5x19qlFRIXqPWEecd0RpGZuemGg6rTCypRh1qIkjXkQow5XNsLqyMFkdaI3AxQTZesahwfmrcq+DwUSBjh4boS9SbGGIKmJaCX1kaQSdFHQ+IjYdrXL0pWKrzrBtxPaawqxIfIrY5IhqRBo8mfYsdYrxLabpiKshTd/iu4o27hGMQQlJrByxhdDBMgRsHikSRd4Ygol024HmOEEpS5JbNo1GmQ1GLlixppE1qB63ypG5oBSWVJRYmSOMxIkEnySIoSGpgESAahkVLSMCY295uSiRuSIrQIYKnUTMJNCvIl0CYSLIVoIEhdcZSjREpagTTdkHVNMT2gWCKd4runVCudciE0srAtYpvBMsgmZbF0R1ZYPTAkS8slx1QaFiSh8ntG6BT3qy0oFIkFYwrD2hblCyBb+mSApiyBDrnGagqb0kLGvMMiN1V3IQN7WQSnQqMEUkCEFNRuwtUUtUYbGxx2EpTUBpQxSOKFc44bChwDU52nYYAkvvSH2CCZq4FBRpS5Fu2MQhneyw0hLdLmkGReZZrAxVqlkrSWpKrIO+h8myQ7geFwWOAb2e0+kGvUyIiUCVmjImV7vUtRLbKHzeQ+IQQqGdJOsEMhoiAh8sMWnx2hKlR0iFQaC8QOkCZQZoNSB253gBXnmc7hGpJymgF1cKGYWlWEnyQmESjViv0Z1CxZxBDU0q2RhJ2kBvIrYIFNESZaDNNGrTkcSepAe/6ei8xhU5SkaM9+SZw3cC56H2nky3SA/SOZyIeCFwQhFijQiaBE+XZ4gUtAw0uif0AbPOibslPklZI5kYiBKWVcJuaIki4lRGAEQMaC+wRiG9JBEgVEQgCLWhr2poACEQjUQ4iTcSRYUUHkhxBLzyJEOLXUlqLQi5IDQRRMSLAJm92nESgewiQkZECipGQoh4GQhREqKgUh1KgELSAY4UL1OaoccHQbSKanA1Dknfk8cKYkmHARwkAqEkMc3B6X+2yAdiDlYIbIQQASKCiqRTJCGjN9WVdRJF0WVYWmzao21CIjVZ8u4Hg/9mSak/418X3rUwfNPi803Wvh8DH2ItelMe11Fj/DDNm867jlrobQqQP8Xi8UPJk48t29tIi/fBxxLDb+o3f3xR+3UIufe1O76rPD9GnB+mfxs5+rH4lyDm/2w5+zNehx+3X9zDM6cPK8T6Dk54mqyjrXriiYQTAfmMMJaEicS8OMMNPJstR1qnLGPCechRZptxu2bXXlIjSVaBYlnjsoDRVxNkbkfYlNjjAw4nD+kGgfORYDY6JZ9Ftl9GwpkgDYZtO+I4bcijY99aHqjbtCGHxnBjskvfbTi6PCdODmj6lCOh4M4pZVez97gmLiMFOXdlwZPkmCpp6KYd96ZbxKrg5HvD3YsKZyyPhj2jZk00Ged373D+XYOsW9J0TrRTglfABhEzcu+4by0vX3rqmIG8zR4zopzzwkS6QY+TmrNuzHgg8LHh29OK2zIyLRKe3O5pH1cwz2E+hC0LQw/A8l6CSBz+RYcYCKRwxEczZkmHJvJlnCBo0aZH/PwB44eR8QUYA2z1iEIjlikMGnrT8/v+c86nRyR5y9cvG5quZj3XhPPP2Aem2vJPNx4xKxVCacICUCOiGFBnR4gQSVWkEx0XMWMehvxNIWjGLT403Fq1iGqOr+BilWP9Ho4t+OJ3DOSIXTehHT1lVHl2GsE/3Gqpkx06eYt7Lx8QmgHz9pDd3T9wXncsaJG3dikGS6b5BSe/+0tGTcpndWS2L5ivFRenhtFoFzmJHO3WHK9XTPsNP2PN068bzFyT/UOBF/vkcQPtilWyoPY5m5MpnyJoteeImvEjj46GKL+mnj/FzwTtSuJVIBsL1E7OvTtTZG2oliP00UMYNLgvhyx/d5+qElyEM/7i6RQQPOgqTtTniELA4YyD9Q5J7qm+6Dj+botsnvIfVzew+lswDYlXnJlDqiJl9lVOWh/jXEfdV/x7ZSlCxzcPFHJ+k8In/PXOcx6GCSct9PobPsk8RmX85vxr4m4NuwtEsuTL79dsP1Cc3Noio2cyqbEXksw3VFHw4Jbk9neB3QtBM7lNd1dykUdO//eKETskhea3/+mfkH9Ikd+UgMPdWZDstdz5LMU+vc36Yp/iYMHEbpO82OfxPOfGQLBf5Pxh3rG3iOzEAJdnPDKe57ngu0/HjIxiGmvOf33BJF2wu73md+sh0nvyleVv3BFzN+Vp3CduH+OyCd34Hr9YNLiVYLNxfLP3EJs7ROfIqxEDHRgVnhc3x1S1oKksX8oxZjdBfSZInkJcgf49/NW9BQw8bWHpz2+hfYJbQz//e0bbjrv3ev7ub4eIkWLnK8vkwWf4XrIwG5p/vyBmDfglXxSwioHfXQYOx0d0csQLd4v0xQOW3nKsU/Z+e4suBI6Ysbx/iBhFej1nz48RsaMOj9lbj5BhTHsQiMVjBI6ivYF/uIWuW27zgJenhpBD8onji87SNIHfn2nUkSVEQWDAvsiQquG/5ZaRO0cPJfbfSXaUotiUaLVPH5+zSiv+8IsZfp6QbhIWm57+xNP6SBxE5pcVVQzUB/fYqR8z8mseukO6RJNpxy37a9IoiAjm4TFnLwPrZUby1Q10vsD4mmf/nwlUc0rb8cXwZ9Tdhi6uOVmd0AVLogL2hqUoLalsGcUTsvMCdT7ik7hFJBAlCEacr58zb8/RYpfx5QnDy5bn6Sf0yuLlBXF9zEsZOUo16vGX7Jlzdopzvp/+BfsD+DTtmP89nHeRcxl5mjkyc0Gq5vyh3kK4DCNHfCFamknL052XjP6pwuxuk/9sQv7335O0nhAUpehYl5G2g2Jo2GQJ5+yw7BakTcekD2wo6ascPysw5iWMOuSeZXFpaGtN1yn8bo2SoOea6HqoRnB2h1j+AeM3TOuUORavIlaCiae4WHLEHQjq6oGE8Ey2Fc475kfn1GJNlAld3AUT0baleLZA706QgO5W2IszOgzr9Q5tCiqzpMwByKJgcJZymvS0aSClZmtuSetAM1gS9q/mvE0H0U2ITsHoOaepRIiUGGteLKckqx320MTwjF6eczY756SbIu2E7Ls1iIjD88JfkouUXaGZqUeIC01sUvrPR+T9kqKu2ZNwcbzD+rxE3jpFDGtIDZYvQR2DW/DwV1/B3WPk9jnFf1lhKUik4dMHACOcGiLvP4WVxC8ij4KDShBFwjFDdkLLrl29e871b9W+9yH40AXcx+T1sel/KvxY8a9rj3sfO84Pj3/sAvdDn6xfJ9/X2QbftKPYm+rj1fp7H0vSdfAuoudVu+GHxL9Om3xMPb/u2Lvuq9cpz16X7m3X+TEqu9cpfF5Xnjelf13sPxJJb1MhXed++WE5XlfOH2tseBd59yH95k33yw+//1Bb2sco2f6M/xH/0la+H+KPfaXrug+OOd26gysrXFlTkiHmAbHwNNoQzACSEtctIe8ht3A6hlwjBord85fU2rDKSw7zGlcZ6lXO9p0NTWxZth1ykyFTgRoEDpaWCs2FNgycI8ir9yXrLiftFUUnuMxqVOYpisAm28aInjFzLi8TWiFpc8XOMuCtYOk0h8bjkcxiQpasiTh6PNt7dwidYvOyJb/lkTLA2lPHHRKXMq0T5ree0okWO1cUwoOBdqLo7TbBe4Q/Yv8yJXrBcWYp+oQkpMiwhVfn6LRnuqWImy06GzkWL9nyYKTAFpq9XJN4wfyFY7NjCAaG6w1JU+KD5kQH7LBGGM9IpFRtQt9LYhfY0i3GOC73FEEWCJtRPB4zjiu0ajjZ7snXY4q2YFcKLg6XrCYtgoxw4fCbQJ1k6NCi6UhyiyimoArUd/Or90xqyTpt2BIlA3KetwlkGzA11iSo2pO0npFoWadDGlPwi3zOZQ+XvaTMdyhWa9LViuM0xThF7iXFsKJVKZ3K2E1SNpvIogqsP7kkqRXZKuHmpx1htkd7dJO2+I6qjGxKDYUlb3vKdcdiNGZvrbh/AevPai7VgFO/w9cv51g6LrOOi1FH2gyZzve4vB3QSc1QzFm8SBh4z4HqWdwIJLVi/NIw9w1tzKjFNruDXVKVoYWh709YZxuOdlaIUYnsSvTZFvs3JdrU+HDMjQclKkTarYan40jdRPxDx3AcyVSksIH+sKR3kc3jitHhFsk0gxspJ39foJY999OnnNdTKBSHf9HyrPZUXQ71PSbpBYXwFN2IefkY3JKbjx3Ht1Kilnz1tOP4/j3Wg4x29oKR3iHqnIdGEI4s0faIzzdMv0/J6wT/H1IOyDDB8WD9G27WNzB9wd+rM7azyDTCwePI5a0J6/GA/mRA7HoiFnfPsf2soTgPHLNPm7a4tKcYCzbVkrZpKMOEw3zEROccnVf0ssWmlvaLKYfnJ+wvLnA3hyyNZKNg7HuW9ZhlM6AZXJKmFpM41lUPsxFqNWTyszP6ehu32uVTWhq7YuVXhC8EvrO4taVbKLzI8XrAbp6SW0FuI+ufzzE2p1yP6V2NbzRuk1LVCyay50bqwH/KfNRwvHPJQO0gYw4u5ejivyKkJc8MnR1S9o7dtuGyKSlUzn5ZEPMj5srwTO3wVy+PqE3HHw4s2fYYmgHxeMLEPaR3isv2gM+7GVlQBDGm3+3wI0ncLtkqcqq149vv5kzvakgC67bBnM6I0dNtZXzSFyRCs0w1+WqO7y2LIGB3F0fB+jTjxkFLHoAHBZOdmk55fnOp2P/sGDXsOe2HmNIzaCOf/UqxCY51GXj+SzAhokKEPmLaCfQ58zZlMGsxocd/tsG3CtEqxquUQdQI6Xmx9YJBOaE0hikXVC8Dm2XKi+FfUeiOJPTUZw5/4xy21gyKEvOkR59H7GCfigt8XPNlHINUWAXPdEOsNKJTxH0H6xK5ydkWjlWyoUpbDrambPyaTd9g558xjEtKseDCBJiUqOGA/dOMpo9sXMDmFaawpEVP0zQM6si4ibgpCAMowexomzZ39IOe7ZcWl0r6gWJvNiGdOpL9Bvd9xVIOOM+3UZMZaSPJF4bRVLCJjou+Z3szJZU1aXbOk4HB9Qlqadj1GxKVI8w2L+oFfUiIjBC3W6QVJOcJnV5S5o4bW4HF8QZrwcuU4a7C5p7LvGOrEfigWGBI1gm6i6RNzyTpcAjOXIayU0IB/Z0V+gJk41Fdj2VCjAppOyZqRUBx7g/YleckoqMLgTVDDJJPqXky3WJjBDGeki72kD4j5pF+75yYezK3Szc3iNqy1TyjuCUJieHp9zvkBzWqdHgnmF4UaKd4/knDVtVhvON8IIi9J+kCd+aB6G7SxxFHZUXsFTpKbh5YZiypbEd2ssMgFhip6NOX9DstduRomgJdj0iakp2V4CJdsjQ1Wg6I7RBpDYfjb+h7Q+cKqq0polkjmxWiDoRUEDPBxCeEGHB4TpdvJ6b+rJT6Z3zoe0TehB+LTPopJuYfq5T40Hzel+B51br1PtaKH8OW9jEk5IeQaO+yx7yL2Hl1kf0m69t1bY9vw4cqft6V5l1tfN02eZUseRdh8yH4EOLtxyS2r9MnXhfzY21Yr5JkP/z8pnv1xxpzrlPO69bJm/rwD4//lKTR234jPpQ8//8nkus6feZD+9XHEpofgp6OID1BCZSriDHio0AqiVIRmSh6EYkoRKNBRnSExAoiHp1EykygWuiioC0EiazoosdqSZIKXCLxQtG2nph50mFDtTboAKmL6EoghaDLJT4khBjptMVnEasitQB5aVFRgRS0fYu3Bh+HiG6JkO5qNzzviDISlEFmDh8Dq+jIUkgipK1k0UMMkIlAGxRdlKSdpZPyqv7rDpN1V/tWtwGBIwqQ2qE6RyCyGQh0yJBJRMsNFVu0ShHyCBsggMfhnEJ7GCaOZpARlWJ4lBFloNc9sghkMSBtRMkeNgbRJpT0JP6PDRxBCWIQtNFTZBqhM1hqnE1oo6CJio2VbHqB1ALfGMIa1E6D8J4YwGWgFKgIUjR4oQlRk7WQ+ojxkaGQRCIhBqokkIiAkQEVQMhATBxrHD5KkijpRhLVJQgyYiYQvUW3jsGmoMsCm7Jl14zpdWAtejA5SXulAFrriNIRKQNOJ4RMIEYJA79BBE/nFIgKR6QKESqg9IQiEnWNay3dIhBVRnQpXijUpkSMwW6taI5aVBfpeoiriO6hjILTTNDHgPANcdQQo0c1Ldo6ktySTioU20ir0csNm70BIrOIYoFXOcopRC/okhU+eoaFohMQpCQbGIKpEMGT9Y7ONAQFk0VCoXpi1tDqCj/cIuaaufJ0mxbfCISMWClwAcylZTMKeAO38IRhg08EoYOoNTHPkOOCtilwPiHKBSiB8BG8pAo5Xhj284bQauoYsVsJwgdM5yiqiBg6rAlYr2hjRysUIclRSY9UPcIr8jwwnDqOQyBtJKYyrIeghWOkWmIc0QtBqypGxZp5F6g7ifaSYKHp45XlJjekJoGlIzY9YbVB7FkQQEgQg4BYa2TQtAOBr4F1pNCKvoPeWdahRyBRQjG2kWgkPtX4IiVsBGITkVGS45nS8LQMqE5SbFJODZSpIMsll0vLsnPMK8/2zQ7vI6tNTxABeuhbgbhh0ZXELIZoWYGJ2CynaHJMNChp2PyzfXjYGfo2J9oEERyJSwnRELICYc5RTpA0GUlVXamadMC4ln7tSZYClwjIHcovEK0lukhMa+TEoJIEEXNS1WHpqFuL7hJIBGmxJNM9qZM4qeiNp9eQpDlRaYIPiEVJ31c01tLEllpAEyAsgQFIHVFdjy5aYiZJKIgDhYsQkzW+HyCVJikjBgvKYSdXOyM6YDiG5DKnWGfQrbG1JviEQI8U/mpc9hXCeESpCPkE5yzORtomYKIGqdjslgTlQTgQFkxEFYLtZo1RAVKFHmzQbY9y0HmHwJFIRy4GOF0S0wIpwcVI4wWJdvTR0raOREAaYewkrbraya9vPKWxhDTSGujo8EHhfEqfCkTwsOnoRMBJjZIFvepJudrFrZHgvacIHXmaoGRCUBKZWwQRkKRBkHhJ6CUhSKIQKA2yzsFJgtdE2yFUhREbBig6JWjyiLYSryJkEA1EPMiK7CJB2wh5T9smRCHJMksFRBXJaAk2Q0SNGkBYxav6xhB0hkCBT4jBgPQo0xL7hBA1UfVX44iKyP7qwb4Pkq6/2gVSRsAJDBYtLWUi0N7QY5DSImQA6elVh9UDIAcfEZlHyEAoBNEHQrzaCVFqi6LHb3KEiAjpSddXfccHqIQijZYs9iRA6K/GBhXWUA9grSmxrINEBE0wCQhBJLDB4EXAyxZdZwTbE4NhINd0OsUmOYWRrENP5e0750l/JqX+jH/1eNUC9y+tEnsT/pQLwh8umt8V92NsiG97/xKA/OMC4x14HwLuXWl/qPZ5Vz4foxB7lej7Mayib1pEfyhRdJ22fZWQexcBe52F/ttIgneRyB+D6/T398F1iKk/48/4MXC4hrlLWdYJbj4nao3PDACZk+RR0dxd4i9HxJNt2H9IKT2TEHlWRraM577yfLu8Q9xakN54yfJ3ARc1aWbobkJYaeKTlLM8Ugxhuic4GkVK77jpejZVy7qAi0NJfHiI2jiCXdLn50QRWUcYfzJG9iVyNcFlz4kyRfZ7PAsKggUH/ecdpU+4fbLF+WxBaxVCjOnCKYm3FB2IYHBYNlESjg6RsUb773B5jrcp3azkxuCSgh5TCZ70A1okWV8TNIQyIu4/xh7fRK4z+idrNnFNO1Qk93Nmlx1iA+ks5bzfJ5OK/ckxBwMFMSWRW7zQM9Z5DTd7Dl6AWSieGYN3JZmQ/FzOeZB7Zhry54a+2BDFgkGA5Y0d+uEIflMi/XMcC55nBXaxh1hsk4hnCLuDlwXp5hl90hMSx6dBcLq4ZNFeUmQFo16SdxHoaELDGsF9neP7MbY74HL5lKyApBQ824a+2uCbNU9uK0Z4hnjOihdUq22ivEV265JmYekuEib9Z/jtC9ztE1yrkLEl7VfY4U0Gac9uvuH3yxmuDegs8tWdHRYq5YScn3cVF2ng4U1F+rinbixPXc+tFwqxtSQcLPn+wODnBd3xGHFSUIieG2LJsB3jc4WPMK9b1rR8O90wPnY4l4E8ZHbviJaWuLhgc3dBuoiULxx1lqNz2N1SZP8HlJuKbXXCfzkZsOkC+lZk0r6g8AZpxrgXnlw5fn4Tvn98g5Ua8/j+DurxNwy7lk+m23xXJsQ2cucf5+S/gMZE/LMJX33V0uiW//LEsf/SMcks7n/pqH7d0J6vqdo51c4WcTDl+72X9JnCRNhEOFawNAlmdEA/rPDdDPfwBH1vGzHICZeaPigUgq3oOPl2TbOK3P3ftsi3Fkjj+PzFPqq7UuW8NJ+wHJ9Rj4/pH8745NOcya7kd8sTdj4VuATm1Rl3H2Vsz1Ke3Em5caTY7rdY3how90+YhSM+39WMj3doLyb0v13RhJZz4dk6mmNv7LMpR5wWu4xnR9xqj3gSh+zNFDfmmn/8i21S3TEMS8bVhMskZ7YfmeUVy9mQ5cU27sGvGfSw1Rq+0B1msERMNjz3f4kagRn3VMdfo9tj0uYxl/u/ZKgNWzsw/kRRygTtDKej37HcRMKFIU4FTd9wPltSNJFxM2W/vc33Xz7CjcaI5HO+mP8D56nnHyeBT2Y/w7QVtzYv+G5SMegSPnsyZTUbsnSB4/WKW/IQMdJwC+rpgHqpWP5Wcr9OMHVDc/6CFS2BwF0BZ/MxKsDNiefBGNwCpi8igxs5RVIwfSRol3dZ+R70Az55OSDLIqu732OeQlsLnps51t9Hpinlp2fMQyQsMspn2/Q+pcXyKzQmvQTX4X9taD4dobPIL78/ZvNFRzXtseKYZg9qcUXk7pwuydqK2ecHzMsFOm25oQRnx3PO6shSS7aLm5i9Ic79AweLuwz6Lb6NltGFZ7yM3O8M9U1L9bkirIcklyW29nxHzzRW5KFH+AFGXaDMkuZoC3E4Qt1I4Q/PGI8NcsfwVK85mAnunEv+zq9YJY4+zTgY7DPXMLfweL2N4pQkP4UvbuErCDPH58fHpOGKNBnaKRdVxXy94tatJSHusl7eJuUPtGNPd6vj+eIFySYnOx0jszMKG7k9V7yY75GmF+SjFzyJ2wwyz61JT8gbVivHxbGhsB2yN6y7CZ6KVHSkPIJYIlVHmqzIZjewUbEBEAntRnH8vefGdJvhwGMnC45fQBMjcQqzzhB9AN+x31lcInh6qPCPR+QEDqYL6vVTdAs3fq84Sm7AQDO6s0R/v6C1kWNGNIe7CJEinxgu4w10WjE5fI48KaEt6ZIJCS8ou4riAgpOcAaeboHIBCHC+uIpd2rJUEniPcHLbpuqM6TZGf3ZATEajHnGLPd4beF7zeW9beQWwJIwC3SzwIvCcnB7Rpovib+5jVZzlNwwn7XIGBkKQZ+f0nYdVjjEJwp3meAvDOKTjn6zovOOIA8wNy2D3Q7/u3P6PsO5jMvLfUbpnJFeM1gsuCBjJQ44KCNn22OqrQlBJLjmmK75s33vT4q32chePX4d9crr0nzo8evk+TH4GAXY+z61fpO16WPK9T5KqeuU/TpKqR/iXTaiH573Ptf/NpvVD/FD2+APyZcf2tj+ePyPRNSrZMf7qEs+lJT6ISH1Jmve6/5/Gyn2uvNeZ997G95Wlrfl8yby5mNsgO+K+b54V1/+Ybu/rZ+9z7jztvp6XZ9+n/Hwfer2OmrAD8WPqZT6sWL/Mf6/ZlxnzP+xfuNejfUxu++N7h4iqwZRd7TFGGQKGOLaI6NHSo/9/Jw4n8LJDl4fkWlLbjzrqUXLjDQO2Mwio9iyS81Fp+lCSR9G6NElpfKMZeC8kniRgxrio0bFePVy7/2e2G5wswXWjwhB471k+7Ml2nrEOTih0IkiKw3HWUfvBb42pBc5IkRC0uLvO4Y+4875Ng+zlzSJA5OQrQKDLnLQwgN7QJdHsluXjKqUpHeoZsXMp3hTkm3v4hfHhDbg2wmJnxOlo08lduSIOqKtJq9uo22C7i+pKBHaszN8gdARkSgYFoijXXwjWeYvCHKKDik7G0+jL+mUo0m2CcM5Im3JkNQ2RwbJp8mGx/MBC2sY7Eds1eL7npB1DLcO0OmA1XnDdL7GNI5jdZs0LEjjhoHs0OwT4pjnomIsLYWwBOnRRU1Me14KQVolmCYhsbvkzDCsWJuMUSbJM3iQ9mACUgcaD4kckjCgOtMo70mk5fC+Y9555pUnrWDUOEZtoElus9aBte5J0zmqtohNoBl/jQ6B1NUcipfM3Ygzt0ORLYk6EHXk626D2I10N+H7394kdhETOoQ19OWKZuuShJ+he0ialmGYI2yJ7/ewny7Ap4j5BDc6o/eBplX8bL6gz1JOt7fZ5gyle2LmOdnaZ7B23Hs84+lWSZpYbssl1RODtpJRqvmH3QPaoWAwXbP9aExa9ej+hEfTiKHgZ+sDGrFhIwKnSmGnNSOf8Ivzff7hsydUMTL+/ib+oCboirg5R/lDfFKy2jGMLZiuQ86P2Go90QWehcDeziHJKGW9v2Cy3JCsOtrHPfPxZ3iTsx2esbx9k5gnHMwe0AaFjRLvE0bRI7zkeT3lRiUYSov/4gTRH0A7oH9Z0eUZtlB0N1Y0fSQ2cOsFjHOBGCr+yxcjJotIUVnOxTNk5TGt5L7b4aJxrPvI7mDKRd6yymrK8hR/PMJfjEAUDHcrinHF8qQikUNSPcAUOVW1oe4a6k/30ecNyVlNORqh2gXCLuj+k0atJGomKW8Kwsrg5inHMsPrJUIuGKw/BTkHc8b+6CZNE1hvOoZJJNqS0A1J0rOrd00pwandpwmGViT4L0/IZxtGjzeov7rFeqU4f+LYvdeR9AFmnmeyRI48g/2W+LsxMc3gMKd9VBHbgIjQJIGh0tzUGf39QLdZsfrDC8bqS9pCcbq9ZjuDYRvZPg0UvkdGhafg4c+O6YXEnO0yb2uQlkFhsf0A1wnsqqX8m5aRCNz5Lax7SScS2mxIm6+xWUs3ruHJmLQS7KkV8rMSrwXrpw0+eqxMWKR7TDZLpINzcYCR58isxt8KcHED2RvK4TGjZkJiBa1/TqoEPk959uldsm5F2jWUi8iiSfAycverJUdnW6yWBdnGMtYlmZT49iW90/ReUWGZ3G4ZDi27v5EcJSWXWYHbPcCuLqBacrODDYYqUfivWuJRBqcZ3kt02WHSloP5jJAIbKZZ3Dvkxrln+8zx3xxoCZkG/1mFFVNsmIKLyPQCmZ4TpCFeTBCnI37ZP6KPlioGxsYQpin9jmHu52wWAzYXE1LnkAcacUfjHx4juohyCSM/xSQ9Jt0gVpJEGowxfC83IB2ZdPR7EusDXWXJW03RSUa1ILvhqTvN+UXKJiqQBq1zDsMlSepgKGguHX3i6KaWUZugU4XaSbh44dHWs6Usm+wmXQzU9gLlO0ISaacCoQxaJpQ6Zb1UxEqRzzO6JEWkkE96xPwC3wkqt8vOuCVXEW0TLmyNkB2HgzV+mdOhuNgK9KscLOSs2cORikALXOaamoRuXZIHQyE8t/IzjmTBKmaEZshOWKPpOUJcWc4TSTqZYbsxPmSIoWR0eYlpaqpMszW2FBr80Q4L3VCnHRz2iNMJVCn2kwt2ziYUdcbLr47w7upl6LGdMJ43jDYdY5MyTyyVtmwZoMoIraEZtGReoaPiaJCgNhbV9Nj9nsTukvgdxN2aTeep2kD/3cO3zpPeSyn1sQv/f4v4sexxr/v8ofifqb3eRab8WHgTAfS68rwv6XIdO9H7lut11pI3qXp+mM+rirOPIQSvW9535fnDtNcl196lmnsfpc6b7rO3led1hMub1HxvIxjfRqa8T7/5qayD72PlfBtZ+GPiXSTeq5+vU7Z/aRXm/0xj8ofgQ+xyH5PXj4UfM1YvNSYKjA9EpVFotNd0RIIIBBmJtUb2AUkDfU4Ihg6HDpYQFVUIBALCRoSV2KTAYvAxMAyBMnEUuYdNgfMSFyKmF/go6QUY7ZBCompBkfbYKKh9iuwkshOIjcSIiEojUlviRBJ9QHYVCTkagRRQt0AMdLK/eqARPTKJeKmwQtJHQYiRoBxd2RBtj0KQRQNWgg4k0eIjxHhlmcuIIKE1Gcp0IAN0kLlAEiIhUwirrmwKC4mZJohM4qQgSodDsrEZ0RpMUAhqovagIHpDFJIoBdEnkDiCjGzSiF8qZNBoeqJLEU5jZY/oBDKAzitoAsHpq5ffShAigk5RKFQUaFuQ+5qSwJkKlEGSREUQBke42rmIlAyNFAJfSKK2COnR0hBxiBgxWqGMRklFXkl6K+mEoqwqahxKdZSVJhURckHnKlyfErucTp1jvMcEyKoOlAaVMaDARsXaW+JGEE1E5JaNCuQykBNJZUYvBQ5NmwWiVNBqdJAoGRClZdA4PJ5aeQQe1wbcwjO4IUi8QrcJAzNglWhqCbsuI0WRKMc8KJQKhKEkjhWy95iLSB8aUDlNMkSbjALPcCkRwWAV9EYSQ453Jcu2ZJCtyEUHvSLJJEYqRBOgdXgHjRCwSRBak0ZLuwg4ExE3A7bMkBvH4OGKdJgRMkWiIko4ZNBQjEjnLcr1nA0MwkmMi0QiptaImJDZiLMB7yVYgxq3YKC/1AQfCQjqZSCSEX0BZkGntrAypxcbQh1JNpHt0mNixHWBYaVJlpG4CTD4ZwuRjoh5pE4kcxUp2wqXRhAS30isDNjC4lpBojKSRLBxjrwHGXuS6Iju6uXcVJqm19RRUXYdMViCcjjlSUPCoEvoOov0jkRYdLqLTwKd6pGbkmB7gssZTTpq4amCY2wirYaVNtyp1iRYYiqRq5sEJ2hCi/KAAKUCspLIPkEmKXlM8PL/y95/NkmSnFm64KPMmNPgEUmLF9AAenpm5+7I3f+/uyJzmzdQNCtZZPBw7saU3g/RuFJSUlmZWQRAd+OIhIQTc1U1U1VzfY+f82rDNm8wNwNE8qSdmqW7jxYlw0bRuktCTAhRMCajUApXeqz0RDwFilYoLAlNg2+GuBBJVU2sEyIYJCBVTpKSVhlUJ8ELQi9AlygEqnTUSZB8oO47tqnASYWIhq2p6VWPbDJSKDEShmUNMtAHQdgAQiELgT7oKHqH8AKSJ0+aTBhSUdP3lthAP4auhdhKoszJMo/IBZVReC1xWjI893SNoVcSG5ZEXyLsiLRy2ElCFJ7CqTsLnIqIbIAxFbkMeLPFugwbK3y2QamaTLQI4whmgM9zqthiQ4lNBWLUI1QAAmJksNbTtp6iGRJTx7aI0Ei0hiyP1NpjkiWPFi8loQiEQUQsakwckBmJC3e7bW6kQvQarTVybNjOwUmHKRv6NqeMGYO2oJN31rmQFJEBSXqE2CIqQQgTGj8liZoA1EJC7fBASBLfVSQfMKrBa+iCopYKGQNaB/ISEhalLYUMKCFoRaKTELxFqgLtS0gNhIjoFTJld1ZIoBMSgaBsM9Q4IrTAk0OeSOluTongIQr6JoNYICQMMoO0G9AeWTiK2EAIhK5EJo+QllZEMlkhtMLmgtCDCHcbey7bAkGGiobeSIRIhFpC5tHCQkxo1aFki4oV0jsQApELzDqieo8rFIqAlndig77LkEIySBHF3XpYKUmQmqA1cRhhJaHThF4SUaSkCZ0AAjKzCG1JvSE0GexGhEro3DIad6S6JHQGK3pGwlLhOUuGQYTcW2IMIAVCv5lyemf73i+hsvmvhr9et7fD61QxP9X69VPwc9qSfkrA833teFuy7G1VXN8N5t9E1vxUhcd3lVevO+bb7ZBSvra87yaNf1uS5491/Bhl45va/7pj30Y99y74JQjs7yMz35Zs+DnnzdvU90PP/4g3Eb7/me17P2Rb/KXxX3UNkZ8NQUdc7sm6NRNnGHvDedEgqx1UccjiRUDHmooFVn6KSwrbR6avIKg1Vi/pumO2qqHP1vTihKiXJPWCewfqTlngoOsr/MQi771CvMyRTqBEor1sUVGRlyX3raWLhiuRsbnK8VFjGfFpBm2AJ9cgJgnle7L5liIYBkmy02vOv7lia2o+Hy4ou5I85TAD96Gj7hOXX1RYWrAOtYhcbQODlPNBvourGmzXop88YXggKEpB1dYgRtRmytXOLie0CNNwcXRN9uWKoROYhzOa0wM2tearNGB3Zw+TC+rn58A1UedY+xAIGNEy4IbzqWQ51Ai95r1zT3GR8Xl6QJpewHDLthSYrKboGvLnHUK8RxQDJvWSFbDKApOHaxaDHGsExeYFfX5IUxwzn3oyK8h7yeG8YODmSG5YHCY2jUGvKkT/GBXO0WlGFEtWqaXRgUcPMsRthFnkQ19hRIcyltnfTZmplo1f8b5OzMKYRRgSXy5RQlEkw6+c4+wk59lhxv6/XCGzXRjuM97dJ65bQup4r3pCvnOE3rlP3zxmMGv45KrFiGNuKzjfdTw5/pqBD0wWcCA9qyi56QJ8/JLUSdLtkL3mGd00sdiHYn3MoGwxB1+w/ea/cd21vIhP2C/GjENkmG3R5hHbJpKebbn+cMLYBI7qhql+wVY6/vkQxDgR55HNbSLXgi6ruMgfMsmXFO2KneeXrMKS1UHB5f/cJ/3vXVIDi9Gcv9ssiEayOjjgsbGMqpb1/c/p//8l+VLyUfmK9ewQrQoeTRSLtGQhljw3DW15hIqKw6Jg9eiEMFU8zM94dvWKNpTsuF/TFlekfbh+fJ+TeoR2OU/FbzlaQnFT8/VsS/3oGF9N0c+OOa0i2STw0Uc9l6eW56tId72L2POo4YLR0S35aBcRpsz/v8co+ZLBYIb+XwHvErFO/Ob/OkclsBmcHkQ+KnIOjObfHtb0cohwhqt/PGeoLCcq8MHzgttjmB07zv/gWM5LlusRsRU0yXIregg3HFjY7xTfPEkkXSKKnLP3XmBWErPO2PWOqjmgWJ7wov6M5Nq7XHefSkQ8QjXH3F8tiXFIp37Fy+IGcoEZaPS9Q6Ja0caXdP/b4fPEejeyyaHczPlw8ZJnzyPXGZwdCf7mS0vYSzS/hfSPhkYYzqaGD3lFtcwwf5jSuIreGuZb8INbUlFDgt/sjRAqchk6Fl/myH7MUH3MTZKIbM1k74pwUbCUjot7t3z8FCoHcMmHn91jI+FL/YzjMCInQl/zohuSV4G/fXTNv7j71HXkqX9Box7iU05sbqEK5M5wfHOMQGOGET6cspofsN5qLlhCnihGgcf3OliO6dYQ4i339A67zQD/vOZie461iZOXinNjuSpyutEx/mjGeNDyyH7JmU34WnO03Gc8zNkMIl90CRYCZgYrMvqJRQw7snXPXrIMtebFySeU1zDZdrT7/8KoqZBpwNX0M/YXOwybezw5ekG25xgXggf/aLiMGTOjEb+9JvgR+B1EtaS5WrG+7vjvzzSX+zXP79/C0w8od7fsHGwYtPsMzIZKPWH1za+ZHymWJ5HRKrEzikzuJ77+g6YflvhpxezrXZRboesZzY1nuBeZfGQ5/4NluNnhwWyf819btv2AfnnAdRXY297dj776Fdg18EoSsxItBXnq2XuV00TFLRqnHrBSNY05h9u779iyqDFNw2gMhx9pvmCEmUtOvqkZiALRBTanLSOlyHyO0jvMQs9WwiyvoHaIoofDnnyeM6xHHCyPyedzbO6ZjQJuf4XbCbCvMaeC1Fa4/oTY3e1O+dG+43RrWUqLHQkebXtEn/Okf4QxVyha8gXcP2wRVeSbzNI/SygLTKFv9/EhI89PcUeWIGD+rMCliBGWe7zk1TjSFnAQN7jFGmdzNttPOAhLcrnldLBi6wxdykAIlvURCz9glGo8HmM973+RcaW3LMsNKJibJSuxQb/UOLtDiDlMnjErE5uh4G+swKYj1mGP5e0CxnP03obfPFTMzj2LNjK9aJjIkkpMuLg+pt7f0B7f8sDfw+ULmsH8jeukH51T6r/CYvJtgux3CdBeFyy9zpLytvhLCJ7epf0/1zE/Bq8LOt/FAvlTg6rvEiA/ByHxQ6q6HyJXvv3625b7OrvW2+JtybTvu87frTPG+L19911C7Yfm8tvMvzepFr+v/B9LTP0cc+l1JNq7EC6vK/tdyL63revHHPtjyvhTkmPvgj/HPfzPqQr7r6j67Y89O03JtM5x6YJ25LgYaqbXJ+hNh2xekBvwYUCMu5ycXLDKEnMF/YUmOIVzY/bfu1OpdOtEfnKGTx5nM24vciBhdSDurVChwrx8xO6uRMotkTnTeY6Ngpa7RLVBWtBrdr2mjYrb5Dg72RJFgCZyVIOPJcvBMYxu6K1msdphKE/Yp+HYzzkvHToIjjaC6+d7OMAVWw5dB1rTFvcRqyUpOi6zBUcqYvPI5RiCy6ijZJkBeGJcM7hcU2cKowLvrRJb37JFIm8MloYyh/uxR145rMlZTO9BHUhWAQrx4AaXbXn+ypAFx67tWejIKjqaaBgIw+50RD6Q9C+3mF4TheLyYc9ufkOm5lx6gbyaM7SaUTXCbirsWoFYkLcB3XoGW4WIM1Lcsian2zeY/AH3rsHENVI0zI+eMzKRXJRcXjVo6zFCsPWWLkEvFTquSVqANOxeTVCjiMhaygAmaZLMuZ6MSE1Hse1ZpgQ3HdOVR6cPkEWDHJ5xcOFZ2wFzd8Q2SBZlR5+ecq8+oe8kNZLdT16gisiOgmb+gGETmdQ9g/aKwgXyFDBnBbEKuKOa0Wlk2sDJqeDGL5h3OYPZMTcPn2Os5lfrKddPC1Z+S9Uv6B8PyWTkk9WK04t9mrFkeyyQGag2EW4i9+MIEz03R1vaSqB6qG7htvREq7gIe9z7YMvedM3YNVz6G1SAEwEj0ROE5hNdM68avHfs/pPj04eC+KFBkLPcXGAbyfr6IZMwQnQSPrdU+hIZEk/ch7gXUMwEx/c/pVy8gN6xb9ek9Qm9jvDJlmq4orCJ0eWMar2PajN68ZBqNkIOcvq/2zK+zKkuA/mnzxAVqBo++kIwX/TUnaTWOxynK4byittPFcQ1vYr8axgxOTUMbzW7k4wg5jjRwvkxTCFWgbabcRAaJkkxP+lJlaSTORdhxGI7ZsUAsa/BKoRL6HxN7gNZSJSNJBcSWSjk8Zooa5QQPBpC3cAG6NFYuWKW9ex+UJLNEtlNiy+umfeOWeyYfRwZLGB4Lbl8MqDKenaLFnsvY9JsOV41lB/uYpWkEQL1wlGbyPpRwfTqPoe9pRiuEGnO0CbeXwtqP8J6y9CvuD6MVFXGznCC/2KD0pZyf8tqY4lCQA5f7iqEqejjLsPrW+KgZ/G4Z+AFyRv6xQk7mwKdgZzm3OxZChG5XwqedmOc8+zaC1rrcQaGh4GHg1ukTazOI6ODinFI7GvNN4/XtCInP9d0e4cUKI5mQ9pS0g4dX5sGf6CJ40hhrrDrPdJK4H6/ou5z+lxSpICJihgE16tALTQuM5y6iuKoZWcYuVxX5AtBPm/p3TUiKHQQwJJ8muEHOeKbX8GeQh+07H9+zjJGGiUIn+6xbheUXcen519SdOBloL0nkKljZCX515FNWHG9u+G3BxLvA27WsQoBe5SQ+xuGix61LpFN4vKgomsbour4ZmjxFsxMYQ/OWPWC+oVAPLpFKY9OgUF2jl0E4nrAgRe02yHPFhW9eUgoVlAs0YdDJr1j8tzxPH7A4Lplf7kmHR/gFhXPLgd0L9/DB0dyLdWoRKsCFw9I54ahs0w558xqsolmcliQPa+IqWaU3zJsn2FDwXhTQiYAAQAASURBVDodsZfWFAgKofHSobYl/utj9lJDJzyne4aisRQODpNkGyMLavrsFZXXyFzg7tccverIvUQtJ8RuhPMZVykQhhtC7nAqw7cB1gZ1u8+hrslGnjh4yfn5GNtHrm7nTEVgqASXc80KTRpI2Kkxqbv7IWN2yHq+wm16jDR04yliCLu318hQE2PCyUPC1YagO+ZHLULuoaLhenlL7EHFyLxwpCOBSYHHVy9ZuYwVJVzuINKKKBqs6TkMCyrRMA8rJj5ghORZOqQfBGJlOXzZI7Ylqa+wJOygwZUL7K5EriVmI7G9gxAxymMf3MK2gNv7bHpJzZquavD9Y+rBBlluibeeuFSkuuCSJWQtxrx5nfTOpNSfyk71l4B3tWm9zfs/ZwD3JrzOpvVL2+B+CRXJ25A3/xF+gX9bO94f8ToC58eoOV5nOXtdG3/Idvaudb8J71Lm25Bsryvrbcfm28zrtxljvxQh8zbk2c+RS+eHyv/2cX+u+fZT+vjHvv9z4eckZ/7S8TbW1B8zdl9HXP8lolDdnZ1BS0Sf4Ul0SjBNEh0cxm+RWU4tKxqGKHWFyiMUglBoQhwQ+4pcCcgSqYwUskcGSYgFvgF0IhmBNB06FRQupywgSk1vFaWSpAS1EOA1UiqyTKCjQTkJAWrhwTgYemQnMCmjSAYhPUlEIp4kFVJlaJ0jq4CyiXIdkDEDmfC5RxkBhUGkCiE2RAJtgqGIdzvBGYHvFSlKegVkCYFHdR3JZggEgzZRK4eTgr4HkUFuIO8CsXEIHQkDjfz34SJlT8o9KQt4IPcC3UeUsPQRvASR95RFotQKvzXITBJzQa9ygvJE7egLQT5PSJcQpkQIBUCqDLIJqL5D9iVC9ATRYLUgoklCsddXoGuC8WhdI7MMITRJeYQEERXbBjov6IWkSpAwkDK6OhCRyDyDYEEHMJ4tGTpFdEo0aKINFC6RMaKkJ6WG1CVUKiiUpA0lbehpadlRLa0KbJVjqnsEDmUDYnVEDOBFwuVrhLYU3pK3h6AdUTiyIkOmCMLTVD06SUxfEiYWkyVMlRNvwKaIMxYnAjsqsJM55qEjOENtFVkpSGhwGUUQ6JSoFazLApMMhQ1E19NFy9YI9iYRXUC5UgylxZjALpG+yAi5ZFS0LJ3D157tPCAPJKkQNCbQui3WZmTyISIqTJRU2xKdnSFkIA1KaHuIEjsdk9IAKbeIfoutxwQhGGx7RBYJIcJ2i08FQQ3xYocsRkS0iNxT4hi6iOw8GI/IEzrXGKfII4haoLqapHvSICPRExIsVyPEIsIyUe1I+kLTKE1xo9B5ApmINiC7QOYlwx1JLQ29MqxToreaZDOoOkQSCBdRqieLiTIltJIEIXFagNGILCJMYNDnOBeRIaK3BV2CrrIM1JhCR8rMsTUbRBeI1tFWlqJNKC3AFUjp0alDhQ2m9ZhFhr0v6cno+wzZtKSqp5VQUqKTIHeCbeGJKqDagDRDZBTIXmGHkq7S1JlByYCQFiFbhMhAS8TAsww5QmYIo9iJCSc9/dAytDlxq2k2A5ILSAKmMSAlSQWUdtTSEUxgkEe2IUNISVYofCYIKbJKIDqFTgKyjFS2ID2qMOTGkKEQlSMp8Mmz6QJy2CFkQEqLwiGDxtoclwJeBIQy9C4hAmyTwOWCIAR1uOtbXUSKRmC8RHmJbDSFFxC4KwOLTQKshirBMCDVCqU0xuSUlUAYQVQJdbpBKknKBHVuyLRH24b8y8SysNhKshdymt6x6QILleFyAYVHrBJ569Cblk0G2idMEDTSYVykiImw0yL7ElVnyL7GFolGCSQ9rtMkXxBLSd9JttaRsgp8i+ghG7Zob5GLhDAZoneILaiHIzojaZLFrw0CTyZ6Sntni24rSd5IiiQwJqD6AplyhCywWUlIFq0CWWoIQhDlAOUSJiWMTHhR4n1JuzGIkJNyRTfWgMWISKkkt17QREHnA7k3iBx04VASdBSYXuNDgZOaOo/4wpGUJ7mcIoJ2oDqBmubIokOUKzKZ4WOi6xrKqkRKhQkBKyTIRKEatPJIJDIptr3G2YgUkAaGpAXSQp56HAKfSkSQJKMII4PMJURBhyIFkEnglSMVkiRg6LYs4g69zNCMIKtJIiFDQGX2bgfWFnRS6KTpKYAWnUB2iRQTKO6utbaITCAoKXyitInkNElGhKzJdEdIOcJquiX4EpIBLw1WapKUiGFEdRFZB1AREyLGx+9dG30bf91976/4i8e3ianvvv59j9/WnvZDx/y5Aps3ncfbWtDe1sL0pra8TkH2U9VSf2q8jW3xdbbEHyrzj5/9vvdeR569bb/+Utf2T6FS+a9EuPwVPw9+ilr4PwI+Pr/idifx4kTiTj9BrQR65ZkV54zpmfrEMHW0wyGboUKcJuw0ko4EadeSRAGdRDzJSMcN/j3H3r9OaG2OxzDmHDMMiHtwexHRqmVwfItRidVGcXGzy4OjGzyCzuVkckypKvJqzGKnpVmDeCGJTz1i2iIe1VyOYLqyfPLylnXQSOEZyjOeGcO8KrC7B4wnHWXTY9db3CeBnkC86rnYe4iKBfkC+sIikkKFB7yILwmpBaDoJTJK2jIijyWxhK2TnDz3FDU0wHjqyHTiuY3IowOcMJy+vGLgOpK3xOU1JloUEQzY+T6aAY/sS86Toa4VVdvii4J+KOgPnrJV4DrDs7iHPFlDaYmfHXFJgMwhPrylS3tYMUZosKNLUtZgTx6RzlbY2ZpZt0umE1qV0B+Tzi+J6Zpc/ZrbSrAsIM1yGgDuFuMpZbgguX1eYLKeTAdKeZ8qKFSKfNZ/TbHeZdDfY81z+r0laXdD/eUJyBEyN0Q3pMqXVPmS6Qb2t4nQwT9XkcNsyafZln9e3iMohYw7PDt+RcwchET2xXtYv2ETb1hyzvKe4uZjBXKfym2ZtHP6Lw+pNo7JNke/t8P1aM2z4SXD5ClXa0aXK6bffMx82PD58SkPtkfYkeP2kWH35ZixDxQHlt/mN9zWA776/D7l/1KEwRi98xFh8G+U65p755JF/gDnCrZpy266pMs7rg/hQg/I1xOqzx9zctJRyDVsX/Lk/hFhGDkenXHvHwdsa8HfVw3y8z1EKRAfv8BfeSa+4HcnU/z1VwTvGUw/4MWuRJY9f1tds/q6YLXN+f1tj388QpRwvj2D1RnFKvHpP2ku9zNWyrC63Wf5foPILeLJb1kdfIXI52T/pND7jmxqcP/wIegrfLnmqw9rdl4+YH9Z8fjFN3yjFE+MIBxuESXIVFB8dYz1T7mNVyxvoH5/h7Az4uPbU0Z9hVAZ+V7O7Cqx3kr+djHi+b2cm4kkxKeUMTGIjvP8GbJVqHgXymnjMLnnxZ4hWA9tQD79CPnAIk5a7D8MwN2QxTmHv7/PzbFi9UCy+GyALAz5HpybFa3dQc4eEKqv8dETdkDsNTQ6cqMM/6O94na2z7+ef0Sb/pWURqhuzHv+a6qFRSzh7NENyreUzZzw4T2s7bGLJf/v+1NWG8Xl1Q7HwxXW5pydCk5UTt8rZk817IAa14jDa/jnI1At6uQZ0UdCI/CvalS/C63ErSK32Suk9YinGR8WJwxET+ZPqfzX9Ltg/5tBhI8p6pzdsxX/dG5YZw28/4LqhSM5w9OdHVjNENLSTWF/OyBTcP5eS/ss4K4lZlOSfbQkIlmfjxnlNWZSsP7wdxRffYFc12zLA17EgEoeihKRdQjhkSJx21g0ikdlQ2ZuSKlnPN9lvNwQnWPOhJvznk3REB//G2J8HydLng8Dk+k+B+OKx7MzNmNYG8W/+JJPhwP2Jhnn256yaMnjFtUHQszIbY683cOXC9q8ZbnzMbGNcG5ZHtySZWsm8YaT60QhBAbFVbIU9GTacpXlnJghx2JIeL7h9CRweiiYdRMIEqTkyb5GdxtMfQXLR/hFhVf3Gf+PF9iYOF0bbHPJJvVIZbnd5uhuwcCfsmBCqRM7mWP4qme9B68+EnzyBXR6yvXgPbJlTtwKZl+DOwkorzCrkjYq+tISp8/x17D1iXWAhfwVSVmMeY5ND9G2ZHwb0eGGXDpEJmnClLYrEBcVN3GJdp5ilbhodxE+kWdrcnYJA4l/v0dvE2ljcFc7PCgsg7xHHLziyfg9GpUDS07EDCMSTYKz8TEUMJEvaJc5ukscv5izeAidETT5BdYektKYLLtg0G0pSPTAiVjjWXMZIzbPSbKkuHjM9r0LfFFTdgUuT5BgegvNWoOUeCxJ5MisZPhxopWe2Dt2fw/zx3A9NhxcPqTbdHS94xBQyw1xu+LFfcCvEKFm7D6g5wTXSDj37DPjgIZevEfIzunMGcdPBb3Z0JuWtm0gGvLMgLnA1UN8fYz8nzB8tWF4tmR38h4qs0jl3rhOeidS6j/rYvHPgT9lwPY2tqKf8sv02xzzUxRj3yYMfow65XVqjrdVJ/3SeN25vU2Q9rZk3NvaBN9VrfC2/fgu9shvv/cm9cPbKqu+q/D8Lkn0JnXYD7Xx2/+/r5zvI7teN6ZfZ+18V0XSuxBgb3vO37VQvs24fJNV9rvv/XFnx2+//kNte1fr689hlf2p+K9O1r2rhfht8UuU+XPi2YM9rEx4YPfeGb0c0okBo9ueNpRsGVGIOa6BrO0RjwtUFtBSEtoDRHTk+RJdHpAVBVWc0KYtbRlxo4zFJkNmOVKN2OnOMSKg2LC4jYhqyKP3xmxvcmwwZEw43bnFWNCzIWJ1g9LAUcmD2RaH5zYI9K2mEyXP3p8y9UtUCHQukraQfE/ctNTzfaTNmFpIHmRKmG2On64RxqN3dsivc1TbM7GvGIwsYVDSVfsU3YzYBrpuh4O0xGBxQrDlkI0uKYeKbnCDjI6PViXifEMqPc1jR+Ohjxky7hFuPMo79nYW3G78XSJsBsRDSV9E+nnHpHbkjUReGgoZiATyvCZzESkFXb7G+ykwpOwq+qEi5JH+y5bop0jGlOGC1IBCcF/OaIOlC4kuuyF3gSoYjDglbA2+2edBWLLYSdQDyfHsgI1UbERimK5xfkifRtwMLsijxgTJoYUytOQicWsMFSN2w4Bnj26JqzGsM+pk6UTGRk6p0gs2HmZhihY1iEArEllcQRyi/Ii2zxF5C/canlmDD4rea9T5IXLToZ+ucIdj4hbiTWR38JLOw3ObyExNV0f0pcYl2JocPxly//AajYOoUEcrRkB1k1HLF7hC0WvFy9v7bLucIBRcPWASEx/MZ9xe9VwNI/G/36n0xgvHHmuulu/TGIXMAy7V6KEj/83XvMwSlTV8GN9nIGe0QbNqfsNxfEERImZ7zOGOISsCYZPj6kSyLV+GL3mwu8Zkkq2aM9GQGsWzpxtCN8JRIEXg8LmkTJpRgDPziLA7pNpI3FqRjOWTg+ecJ08dBeKjP5BmCr0ec3S4YJ40l60mxZbjvGSvzPisgen9ltHJkn956VDHBdMyRz81LIcdTid2ksTIe6RsxMtHz/B6iOyGuMk1KbfkyvPh84Do90h+yGehoVloVJvzQfkxtzFjWWvu7T/CjJdQbXiVa7ZLSb/KMCsJ9s7ymyY37G0tB994wnGJXe/TrncIXDNcjHhQjxjG5+gOYpQc36uwBz12eEb2MtIOBRcHcP+sRUWNEjnp5EPKrudBfEU+P6HZsawenHGzcwibDhYb4o1CxTEqjtjbSJJPWDvgaWHoshbKS9YvdgjRE3nKni0xYcSx3KdNT8Aq9OYTVGmoXcf1taEKDp0i+aJlkS3uEmTHiLU5IuWAwfs1G92xKAMLcUAE3JcbrLPUwdL5WwbuIabYYbEjeWgWlBtBdz7m5oGkLVs6saQ8sxRtzlo+QpWXpAqiv0f7ckHMO4r/3jKRJdJorofXjE8s1VhyqDS6XEFytDclde8RKXJY7rDcLLCtg/dWyI3H1JJqVfG888yFIB6u2d/JOdAZ3SvLTBXYyZhPHu2xWHuaqyXrOtJ/eIIY7fCxMUy7G3Scca9XjCeKKh/STUsWbUvTd1zTI9tI6SNp9zlSTMlEycN5S9kFlNS8DFP2ydgVmhEbJB0pSLrTA+auIskc8+A+1m8wp1swa/yoJBY5ZjtH2JzoD3A7r5BOYJxkGQNxAP6hQ3pHthpRLo4xN9d4VbM9AURDKATbAvQ3x9C2lFdLFuEh0nvG/iU3bgoqoY2D9T4y5Bi7R58tsVkCAyt5n2HWMy1nrHbOcKbEiSOOXl6TjKLbH7A5G7N1kYWDvqqh9IhJibl2SCeI5xPE/prooL3R+AeRrGo4iDfk8xzXCub5kqtDjymhVNBfrggYxO4hs+HiTlVXFKR0Q24l482Yyg7wKXFtFuS3jkxHNrs9RXaDcIrmzLDaBrYa3M4OatSjTaRIiq7pSX3NXjin37T0mWB7PCFtsruE5umUCAQ0p3FMbmp2TM3aHRIWE9gOWUuBu3GohWfHnRLTmGQMyl/SjDq6AQgJymqyNmPXRmaDG/qiQTyA7cJCA4td6EZDTJYY0FOMcmylmG07dJxgxIhmeEasgVYSzs6pm4K+OGEzuUFohVC7b1wnvTUp9a4L/b/i+/EfISB5XQD5Y9r+Y8mENyl03rUNv2Qg9FPsQu9iV3sTCfiu7XiXvn0TqfiupMbb4Nvk0U+15rxOtfS2VsDXte/b/7/9+IfG3Hfr/aHn76K2elM9P0RQvcs8+GO/vCvJ+e3XvnvNvkvAvYud8031/ZTjXoe3GStvQ77+uSxnf24C509V19usW971B5Mfi63RJBKISCXqu51vRIYoA0RNdBVObJAhUoWGoDSJu5w7utPgLageazpCFFCXBLkkGgfGY0uBUAqsYRoUSXiCDXRbhTZQ5B4rIAVBGaDN3d126arFbC2xBFlJdBFJWUIJyK0gZIJVKSlcJLqETIKUIjIlpHDEOuK9wlMgo0cFj/QK2TlE6kA4Ci8wLpHbmtwKnJZ4mSEyRYoQRUbWK3KliVrSFxVBFkgNLkoyLymcArZE44gjsG2Gt8UdAZUiRYQBiVVwBB/ppMKXglgJ4qZCy0SREqJP+GjwgModMmqUFwzyjlpGvJCoziByD8rjrxIpkwgtUNsO4TUKiak8XQfJCwQ15IKEQNgtwk8RMSeTAaElMVfoCAqQArRweJFISSBkg9UKKxTTDqTwIHpaFKU3ZH1GlgOZR5oO8CSRCCHQipoNhhUFU28wEhIOmezdLoU2p7QRlyncQLJJ+s5OKAvEQmA8VEtwI0teg95k6Idb8AqbNJ1KhAA4EBR4XdJkFZ1Z45IHD6Lq0a3EzAwusygU0RuWXUmb1F1y5phTOc/UNlz2iTZThN2C8RoqHINxg0xHSDR53+JjCTJSDmbciAyCwsecrBW4KGikRqSIVhFZGLKhplKga0lrBdYF6naFPU6kSuN8RDpJaAXLVUsmItFEoqqpase4D5RxQHVcYfWQdpNjSURqhnlPpjW9UlTKEVyB7CVCbLFS0GWgC49QAhkVOEhjCEawGBaMMsNASgZKYqXEKsmgCKRQ4oyi2M9pt5LQJtpSkclIipHhJkMmiUOyUIYMGCSPGhSEBpyNDEKFyFr8oIU8QWMQUaN6S0RBJimGNfkmoteCdK/HqAG5HNDxCu09owgUW2xUxJiT1SUp60h5g8IQiDRE9pwn6xU6aupRhg0WUToGZo+UrdiUWzo/QbU5uXCYFMijJPMG1ThUhNwabvo7qydVQ5iNCdGTTE8woFWGiR6Xt0CBWuUYCUoIUpvjSwFCUSWDlQ1CKZS626WMJCn6HJEWxNTTCUGQhugl/dyjZQcisIwdx9GSU9JnI4bZLYWOpDjBRE2fNFEJvFDYkGHrAepQIXVEOEEKioShGAoqBIlA6jZkRlBVOSZmpEkgSY+ud+h6R/ABleVknUTISOot0kmkV3hn6JF0GrTxSD1CyQzVW8RWI6QilwbTRdwWNkKQ0gDBBJN1yCCQvaAKAlOCzCSFrFCZIwnLupdkUiK0pIgtMc+RWlG1dzsUepmgLEjOEB0EHD5BQGG2CicUK6UY5grfGcQ6Z4CllRmtkojeIrwBJGJU35FSvSb1BWgPA4uQgBPEpcHUN4gyEKoSJXvQ0BuJLXOCcIgItVJkqaNSW0yhIUU0Fht2IQgEEichqgQCbDXARYOQDZlpSUri0g552SIyQRhK7CDDdokmOMgdZAK0QwiJjALVKYqjGo+kDRXy3y3MqnaozhCCRBSRoAQJifeS0EcgQtJ0Ir+znFaJQdORR0lII7IokAk2OmPQBoSJhKlGGotIkpRKrItIFLEYYE1EZZ48Zsg8QnIotoigIGWESpF6hfAC6UsyA0Enuk5S5BZVelK0pFqRNhlOCpJ3iODxvsWoAVIanGzxSuJFAVYgSAglSC6hXU9uamxm6DJPCgIrO6JQIAYELTFKo6XkUpeIWCJlAYME0SG8pVw3BG8IQlLToWKBivkb10l/te/9Ff8l8C5WqBjj/xOo/NDubj8HfqrN6W3JoLchSV6ngPkxlrY/1vsu+Dbh8ksFhindLebh7fr2TcTdL2Vh++5nf6y16ee2RP1S/fJzlPunJnb+alH8K94F2cUKv+dJO57yCTRdg0+B9neS3RnsthGbSrSqkWrBH56MEVqSG8f9/hm1UsyN5pV9AdsdVHfIZFdC6HHLBfJhIjU16UXDhZBABr0AeR/fb7m+foHYFUw2DUcXS+YJ2olne9AQ/mWI7iBfWE4PSkzpGZma8cTSOqhvJWfdCh0ShSvQbUs2Tqh7mtQvSF3JnAl5uEQHjyVDXwL0WM54ICW5lHgh4BUk2WOzC9jZIe5rRBYoTscgFVcfDeCRRbQr7IsFe32PDIHLtKEfgh4LjpE8fHVIvyr4Iq65JxZMRI+4FpQ6sM0V3wA2augLxOoBJvOovOUmPqNp7+F9Sc4VddjBaMOn02e8iGuWocWuauK+IxmJFe/B/hVysMGdFUytI1OWrz8WxNMx4iZj1F6yeSTZTCT7X0KZHBHBMkY6Nyb0JfP6jBEwFYLzokDQUdHyYS25PI5c7QXOzxLGJoyHpslwYcOyXbOTP2KYz6gOXxBFhlsF+pXnvCjoVA9qy4PtHsZBEh6RQW8Vaa353fVLZgeeV/ck+qmh2NmhfFhwc/yc8TLjvfkIvb0m2Aqr7tEcnZNZeKQUX+p93KBBHM2ZcELoBdtNx9ef7RKHNTyeo0qB3wbqK8eD3Q8xoYf6kmQa2O8R719xyDHlJqPtFU4VSGUY1XuM/hAoqgb5P7cc9jfYW0//+QVX/e/IvGFvtmAx3Se1sLi4QIuHqEnP6qN/ukuEPZGk/zFnOTuEBXx0DTcB8qR44DNuRgX9uESu97m9WNHWjm7SManXCNHQls/RSEw3oF59wr3jW/qi5h/OHhD3e7KiZrVNqN09dtWUv/n7Q2qzYi07vnz+gL3/dsPefs/+OPLkRcvtbYd4uOHV6hN0tk/xQcv2qxvq9ZrR/9nyUBiKUKAHDU+2Bauk+F/jPb7Y1Jx1C073R5xva4ra86t4SEgLOjlDTn/Dw90bDsZz/qXPSOcC0wpY7rI8GbDey9Hxgn0xZOomfJO9Qh8Eij3Pp9py4Qf8flHxd6fnTMQhSWT8wRh2C8V+Bb8/AGs7qHtOvriHFRvq3NG/v49at+hnG54dduxsYH8Gz2+/pJ+OCB/c495Y0wbJvInkL68ZdwN2wx7NR68w20h5YXixgEHQHHpD+nJNrBrYjeSPLvB2iFve47OjGsKG1Nyi7nnSMhK+fIHcOwahSXLKi08iYwruz6cY8wVYSeCIJ8c1Rav56HkJXBK95f4259JvqUVFq+7zyUcvgI4np4YqXVDGiqk9QHwVmXeO5ztb0vWWIBxxV/H88AgmBTxxfNhDZTv61RNG/32CKSvC0yFRXtCENXqVMdnZoTRDTps9FtMZskx8evSA7bpksWk47yI7JCrA/CGhHoxhUvByIygGPY9Vy+A259XlES/EiLBbIC4V6kXDV9mWw/IhBztDvvngc3aiJrOez3f/kV/XDznqPsA1Ky71HDto+Gj9EHvS040t9os93KFCTCXvf665fdSyPtyy8L+ivrilTws++A2k0xnt2ZZnYUikRAv4G3HLLfvMkqG4fYZrp4R+n4/kKZcrxctFRRczjGnIihXTIwEkhA3sX33COp8zG57jR4Km2GCzhnHXkfc75OtDRPqGRWa5rAL6/oaQOayU+PiUIhekHcn9uIZFwl1Atx+Jsce2N3dfqncyIcR7YFcDZi8fs9c8pYmWK7ek/3WgzAJ7vmf//fuse8urxS1JAq0nnK1IcoeCwFjM2V0lmpjzXO9jLi4IKXLe75HnW6gkbnrCR5dXhC7wTapgd4Ac9FCewdUj8ImkXnDoBNJEnn6w4v7zJVWdsd8fUODpAzA7wsYlip6isHfrA684nE+YbVpaPMtOM3q4hykDc3uGGx2iRgVFv6Ubr5C5YvfmI/TBK0S5xm9aLvZhOZEM3IY6JlyMFIUjTXqiTnxxOuFhTIxVz4ssI9tMkcshIAgPr2kPG158JjjcZjzYDHjKDvXJkv5gy8OvXjK/3mUlxrwoS+7XHbveI9P79INEP7KUJJxcktSCX9eSjV+ySAvqy4qJ7xj77RvXSe+slPqrKurnwV9CQPNdRcK7qiV+Sbzu2vyYnFDvqkZ4G2XWu9rRfuiYH6N6ed3z16lpfmx/vU6x8n3n/8dd2f743refv821/6N163XE2E+dL98d6yGENxJgr1M+vU4d9boy3nU8/1xKntfZC3+o7rct/6fgp5Jsfyn4U5DKf8Uvg3dR8f4c33ed1qSVQi4zfN+QVZbdylO+CJT5FnnPcXO1CyKilOehyNCmR1SO6wNgG6iWkR13TDPSrI8buEwQBejEofZ4ItsusT6AGDOwGVmaY3xHNks0qz22XuCix58PCVVLGs6o/JYUCmw/Ri8byt4zGcHtTUEXIeVLcq8pfWJqLduUELVg+I1i1oywscSJijjPSSmHuMPx8TV4xfzyADlY0AvNBbtkxc1dkveuRN0sSFkkjhLn7oQ8Fhx8E+nSDJ96IoJVGlGQOJIN8+0U20tu2iWj4RxVwIMLj0uWVYpMpWRv4BnlgVZEFmpKFzSp3yD9FiEtW72DyrZk2fouqDFzvIazuWHoBwx9wblT7PRrTPJcJIdeS1Rb4Owxy50WNewYhiVZVqJGA7Z2xY6dUG1y2nhGMA1COWz/HjubDfvtgvMqUkrJQIGbOowAnSTPtkdUzYZH25qrkKNcRLmeIhdUqaDqM6w95TbkhHSCsQtMPyITA/bkitUE1uPEyydjRmrDMK8Z1z3byYz6qObZaIc+NMTZlsIvkZsee7bGtBLXKa5Cot8qRqVk71FC8AiXW/rDFn2+QriADjlT1dDkJavhlLjTk4mS8XyKfOVo4pbZ7ozuZI7YSsJqhDUFpY/srhMX9YCyjhxs5jxOY1gb+BJOBwIvJMXnCtoGLwq6+7/i0XyLKlpe3nO48wxTB4TecGmeULuc9PVDXtg5A9Pz67Xjen1F5xJXux2X9QFaSfb35riXsA2GXhrcTkk8COQ+p+9rkgrIPcn8G0W99TT6JY+2LcZFDsdbNuNDKCRGQvVqgUtbPvvtjCR2CGRI4dlisPM7+0vM73YvDBNJZi4omXO0CqhgkcoT+4jwY/p+wLPrS9b9ES4WfPMPt6w6jXCSo82WTZjQh4IXekUxSsi8INzMOJNrFtFxkh3TpSVBbtjbdbTLfeLVDp9ME902cUuHO3ifoG7wm1uu9mFbtjDuYCexaues2jXduOM6OFZ2zaEPNI2i2WgmH61Y+gbb9pirJdOuZNcd0ZeK0G2o05I4GJJSR7h9zs3ZCD3oGU8zdovH9EHwyjt8nxiXkfJ9j3t1SMoyin3NsLgmth35DMT9Y2TQ7K489WBLXxV00wek+Iph9BwUNcvtS7pU0qQpD5/mpEHH6c436LqDdkDYVkxOEzIozsjYQ9CrwFkWSF6QUoMRl5xKS6oU/lcVp9spAwP76oprHWko6OsROrSIgUI9OGTwcolY17Sm5Ho3IjOBKBL6LCC8RTQbcqkJaUjfVTwbNOisw15k7NsJprO8fPkNw65loD03Y0PZOowzLOIDNoM5andGNpYUrxyiqXjxwWPsUqDqFW62JZsmyn3FB73CNVd0t1don2jTFV1cITcfsPBbUnrKeD+yLSqatMtprhkMFIcjybmBg37MTl0iPlwx2o7JPhfk6QWdd4SQePZ5Q95asgQn1RFN2tCnNWvb0w1nMKjZWQt2fE1QFjcIZJPAwcCzeu7YNY69wrP9OrKJOetU0o5e4GuDnx9z8LimbSVbpxg9trRxy7l17OR7xK6n2Nbkp2sKmaiUIO7dZxNalrcL7vkRplNEqbgwCW8Nye7xIIdWRK6i5+j0msJFMgOXbkSbFCBoX0ZCGTADQXV5SwoZiCNEOSNlHrG35d7AoTvobxKrTcDKFmOuKQeOEBR9LzhiQtRwPl1ws3QQIzk1w3pD1oJZjdA7c0gBNxMs4g4eSbls2YbAVht6p1AjCNKTNg3JBKJOWNMjuj1UMOTZS+S+JIkc+1JxUK/JBpazTyVqvkQtNW1WoUY7ZMMM3TpWG0mzzuiiwboRqlUcXl5z6xXbEuygv0tQHhKDtKY2lk4qTN8R1YpgWqq+p7ipkOtdbqcXqMZT+Mj941tsZ/GvEgsjSW7FIK5xKWcjI51OaCxjm1HMFVfrEiEDJgXWwRGAUgjGziFi5M1pzv9MSqmfKzD6j4y/hGDkXaxjf8R/hP56V2XPu+Yt+iEb1Z+qX9+mrT+F2HvX+n+o3h8iPL99Hb9LSAkh/h9i67vHfl9db3Ne3yWmvv35b+cz+i5+iEh8F+vi69r8LoTpd8t6G/vg6/rgTeTQu9rU3hXvSob/VPwp77v/Ee6V8PMTlv8Z8XOMm6Q1sonoNtAVCVkmhoNIrCFkiV5F+hgQJmEK0CGgZQQBbSbIZKQKkbFUSBmxxhKcIqaEFBEhIopEESMbIYhCkJIhEw0iWVLgbmeqpPBoUq3vrGjRUBaW6EDYghRapJPoOic1iiQDFJEsKLIAKiU0GSkKsNz9FxKVKazNSQkUCqXubBaFKLAmJ6REUDltJUghoutE1D1ET9FqUgyE6FHWUoRASJFOgsUgBZSqR4aKECU+bsj2OjIdUFmi8wKHJFOGREKIBFkEJ7jz6dWIWCNiwMgRwnRI4TA+Q6VATNDbgtIaVDB3OwvFDI1Ayh5pIzIofFL0skQqybhdU8aElpGlLBChQPqMrgSXBAGJKjK0UCghcHmJSxEnIkIERKaISt3Za7aSYSdRRt3tUhQDUgQynRACfFPjkyZKhXfpzrIjNEIlMgkFkjZFjE4UOaRaQAqk6NiOpqQGZO+QRSRJj+s8BSVKK1zpcAp6HemNQzUFUeU0MpFvZ0SngAFS31k8MBFUQADKG7q1oVORfrBFiA50jh8MSRkImVBOUntD9I49ZzGDCiEFyQWCEfRJ0TUDspWGKiMdDxncbomu40wEaCKiE/RFRqxqRPDozZRNBtIIHkbFTdrSk1jpiJMKtKae5ogbgakDfVaTHUdEKWAp6XRPlIHMQRvSXV4w49g4y0B4pqrH+SHB6jvbTO3xIrCctqg+hySRE4M9z0jbRMocMlMolROTBtUjVIvaJnIkUgpWjcH3BanN6eqO5B3EjKXV4A2DKO92dZSKKA2rrCXqglxlFHaD84l1yNlVObIQRO/xosX3PWkTGA4lQUDKBElpEAqCoG0SLiZSBnWV2IqOFYkwLPBNwPaWaVOgrUZFTWYapPBEr6gWnkGEShZEV+BoaTOLQCFiJOGImy0pgcwMqqoIybFxW+hyynEgTRNxIQlC4GSiNJHYJVQvEd0IaSPab2idx4iEHii21xLhBdkwoVcNKoAUI3StcDJR72zIOk/0CWsSZX1nA25Fy1gHvE74PIEJqJQYSod1gWQVZQnelLQyULuebSHokiImQQoZEkFlDIPWQtODgEAkKAmTHH9u8B24rCWzBhsUWQQbEsEHMttgHCgPMSypUkJIwUxLtJHIZOjciEzPMFmPlgVOC5JWbMohWb0kUzW9SWSDnrKEvI+0tPQkyu0UKyOOjkLv04cVK2r0dIBOiqIRiKxFR4+xiWhaclcwbErme1tEn5MvJM5cIZWkEJpuYbEikKRgXwqiUFihaVRDyFq09ARXYpJHyxabJ1TlqEYtGwkyS6gywjnEcGf564s1phuQbyuqTUXqIjYGiomgsYGt7xjoQ5JU6NiRfIuKioIcdzREe4Goa4LJkSgSkuQd0kOWBDJpRAogEto3mBjJlKINOX0SdzudNhAAV0G+aRERinxAX4CUCV14hlqTMsW2UjgLMXpyXZOT4VBI6clSBilRJEeQAqRA4dCxR3uJsWOq6RbwNFbSJ41LkkErIBcEAZ0MRBMRMlLmHXkKpBixKRClwWPoaAhFCVKQC49wluAsdiwoVz3Ce1IqoVBgFCpzdJ1g4zR9IciCIq8lxdZhDCgtCDKhPZgApXBEIwhGoVeJXnqCSIzo0F1F8homkSAjTiX0IBFqSdgKuhKUcigCMUX6JOgRlMJRJk8WDLIRaGPIjKHOHSIIZBAMoqLT0KrwxnXSn82+96cORv6S8Jegkvqvgh+rQvqh199E1H030P+PEOz9ULve5dr8XG34LvHyp5ovb5qb79p/fyS6fu72f5cE/D7S7G2Udd937F/qGP0r/or/yKjynMJuydSGi3twmAkONXz+MYjrMebllCo+Y7QbGZ4Ifv+qQThD3mTIBgrvqaQnn1xiehg+gcuwS0wdyq95kTQTFAcyY7MSECq8HXIo1tSDwMWBQO7NGK8GHL+Yskmv8J0hdPtM/3aGqQ36WcFXuxl9X9FfjHnMC7YlvBjtMV3PiRGu8oLd/hg36rl8eEH2as1IBQ4Pc14s97BdixEX3FzAQAkeTVqe7OzeJStPc54eJZKN3FsuuHgMUuR8cDpExyuawvPsEbzf3CdrYHlzyox/JxqMpBZQAxkgzyNeJ84PIN8acBkXqoIVsPGI+3PShQeX4GhOWAh0L/i1WHHmNX3MeGgtfj3GmwqnRtzg2aYOgNt8B1lF8uIG/v32mGWv8PMD4u2QNssY+BnSz+nTPS6KHqm37HwqaF7tE5cjPnn/kstszEw8RiwzVttbmnbOZNZS3x+x3hsQ+lMWGGpjgLtflidCIGxi9mDDxeGK7Mucg2nN7nTFy94zCC2TeMuzKlKtNA9eaWbxBXklSIXgshwRlxPkbMLwV5CKCj/YxR8U2LbDtmM+nhgyuUJyS65gMfd8+bLnQ3fJJu1xzn0+Tte43QHL+w+Zq4RbLdEXXwEQBoHbfUfavgddhbh9xOHqBXJf0v+PA27XlzTB8lIMESeCwRLUXPHFRwvCQDESOQf/nNGqiotH9zAOqrJnujsjBs2mzlh86RCbBaqYsrn/t3x08BkirDm//IaVga7M2Q532IY57TrQneY8tFfE4YB/GvyK3+XX3G83rOw/YZQkxMTyWWApc2KE3T5wOfS0A4Xa3ucJLxkS+X8th9jbC5oYiLJkNh3QjKGs56TTa5Jr4O9+S7oSqKslj80N7qNHtKMdxOeG7v1ndDu33JYJk0lEb+gudsm2hrILfCCGzJJnrSz26Hc8XLeM6pZ/CDlaNWizpDENajlF2SmfiK+ZDe6z3D3gabFBDSWqz1l+BW54DSfnbA8kg+Ihg/U+6+vPUfsGM91F/ts1opwQhyO+aM8RBsSBQeycoC8b1G3N5bN7yIlBTyF+/jWpHCAGJ7znNqRCUFeWp88EfhDgBPZOE2IyIhwf8FA+Z1tnXD2bsP7/rEntGs5vkLe/QeSBtLtG/u6a7bnj+VeBe/I9Gu24zJccfTbEiobrbEPnFfu+4SOe8o9PS5ZFxvZjifm6R3aRTFzydJgQypPdFgxvGvzA0n805/wLT9627LDEHQiKTPA3SL40DmMkH+YZ9mlCNA4jFmw4YV0UfHM4oDrpUHlCsMT//oCqCbx/8YLQtEQbGNMin4EfD9n89mPUqqXOa755eEb65jHlRvGx+Ab/7BGKnH11w++7mr5w/PdPJd2XY9bLnHYDMXOI3BC84ZGXjOqMr199wnzwDDus4apmtLqiEC39//GY4+aa4XrNk8tAcyIQk5K/6T/lZb5llbU8GtUsT2G5HnH74Lfcf/KMT69fMD2UnJ95rttIOHyC296jWe3yzaVhIgwDJTnbjzz0kUcuoq3lXGlupaHqn7Cp9ukHR/R7NcNrz+Q88bn8FVLPycw1J2WHCivMakPf7nI+TlweOLJ5jvCRgprmcsAUyz11Tvvyb5ikObvyhiIXqHVOOivp1ZCkI0nDck/QtBXb1T7rtWTYDXhYZ1z8rSUsI+lpxF6tmKqeh6bji3YXqyyy3HB2YBhth+xfjgiDc5KQIIYctIKulJxOoLxOFK7l/a7n6SCigMMA6fYezdCw+nWPf9VS1pbjusP0J/Qq0eTXrPuOYp3x+HSf1Je0WK7FhtU+kCJy0XF4FgDBdZYBW7IYEG3HkZckKXmZBzpvKcrIJ7+uEd8k7Dpx0cD2EDol+ep8iLQNg6zmYwnnzrDuDam2+BOJ2hcUz2r684jFIHY1zkp6FPLjDdNXa0ZL8EKQAJEE+Tbn2DmGPuCkQu8EGETm65zGZXg0J7Lk2liWyiLmH7DQM9ZZTWdPiL5D0FJSE7Qm6DvayDkNXvGRdGwnNZvSsX8JKhyQxITLDxvUWpIvDXt2ynZ3y+X++o3rpL/uvvdnwF8qIfVjlFNvi59r7PxYMvOHlE2vC8jfRiX2Onvbj23fD+FdVDXvqpL6o0LpXS2OMcaf/b7w7fP8tlLqdW34Oev84+Pv69c3neePUc39WFXfz1Xmdz/zXdvf6+bAD9Xxrvan15Fjb1PnnytR+Lvibe8xf+l4m779pexvfw78nOPLLiqGpWZ8XLJardlQ0YoSP7wgNzXmfqS/vfsVfnMJYt+RrxLVraXNMmpZ0Zicst8QlcNNPIerDW0eWI4E+lrjU2K967DjY2gi2XzFpd8ni5Zjt+XmpmNrWs4/jqQzRZQRN1zgCAyryO77lvu+wYVASBtmk7t8F/ev12ziyZ2q5njG+nJOsIL4YsBw2DHMWvK0Rkw7RHLI6HASNt7zbGuRRiO94MIG4pWkCJqB8GS3ml7kvEpjRFKo0HOv27AQt9gc/B7sbDZIl/GNHWBJaHqy1GHTAcFnMKvxBw1CJuT5FHaBqoNygThq0R3szKBLmqAzTtwuIUlscrh0QfA1VnZcF2tiUmRWAomgA0IGyr7DsAOU3NKTkuaPw9mnhEyRlBr2spZBabnBoNMK49a0ZxGOGrJpwBYlQWvkaJfdPhKylqZfI/UDQm/pbI/YqXFNxAdoDw26cxx94xn3jnYpOWszttsxXaFYjuEkLFGiQORDRv0hpt1gwpLjvIZoUW5J/TzSy5xelggSI73lvlmQLx/QSsNKa6aVpa5H2HDAyw/PcBtHuFhwdk+gkkaeKlY7rwi1JXQlmRwQRU1Y3FJMt4hOkJaO+YNIUUZGbYuwhlx6pvmWeZuoRcmz+yeEqwtikKz8kFE3o5IrHp/NUFYTnGbzWcmmu6YLEeGPef+wJZUbzpjw0htEO6a5LBmJJaMiUPQrqpUjb3MO3ENux6/oBx1lfc7LaUFeDpjaGZWH3AkoJX07JShF9egWPS+QTYXG4O2ANuZ8lo4p9l+Qqw31rCNUQ4QypBeGg62kDBb3r59xsxvgKKAWGcE2cOP4lW3YuBLnH3CQGrb3DTYKhjdz5EgSS8F5nRgbz0ne8GRwwblK5MPIY9GzLIZszQDpA2HR0KbAXB4zXPXsNS/oigmzsWdVJjh+RFi3pOuWl/tLZG1Rtw3vO888OmZIIgNwiaypcduHqGFEVR59cc0wC1QHgVfNOflEMZpIXr4aUJnIR6NbullGY3u29IgwZtwYRn6fyaBh4SXbVyVzDMl6hnFOdz0ktRPEMiO4BVw7st7yUYyoTmF0hkLfKW68Iz94xsoa7GLKB23JBCiDp0wDVFOTfXXOaFLQTyIz15OWQFngTg5YKXtHPrQG9f4aGkt7kTNde8Ko5OLREZzdEHq4HE2wxytY9+irni4/xwfB8HKLlbuogWC32DBKAuMK/NWU4eEIEXq68wW3QtM4Tfcl2H5NjuX9Vw+58Q1CW6TPSLsSryTN7YBd09OExO8/HyC7gClbfn1YMp9NWHmJfvSMs3yL6gV1Zwi7xxRFywfrFSbsEpxh+dmYMiwohEB+IHkwGVIUJTf+muLKkF0qZuU1TbDEAh7NzqnFlhfDxGBh0DZRSsFoOqaJPV28RRydUJg5Y73EakFxA34tWFdTfN+S9T23eo8uREw3w2UjbG6ReeB4NCcrt6jCsWrTXa5wnch2BUUBQw/mwwGb0LOyHflLQRYjUiSW6ZyIQwqDufXoumQkD/DmipAUzh6jFjVVFdl5tGa4duguoohMA9SDxPK9xH05oWoEeu45ONmyVSWb7hFi2tALzW2XwUPF0Hp2bxqyOMI1EXPZsZVQTyJxGhCbjKwVGAd5vMF3Bfp8gl4fQNZy++Eaka5JvUTMwVCRouDabrB9joqeA2G5nhVEkahSRx8jOkkOnWA1dJAHdo4kMwHJJe4tLd2+gCyjmU1YRoM1gcAS1dWY1DEUktolvE48O9BUbeAQCDJneTWir3OwBqXWiLzhxUEgt5L7bSIsI60d0whDkW2J+4kyc+QvEzLt0pmMqwcXiO0u3Ba4D64INxrWJc8xjPLASeWZDV7h14FQJ+LlGuEKpBlh7q+QJiEkJJvw1xq3UtxWkdZO6XpNns2ZBkeVNpy/KpBFTppknC1r/LpjUL/ZwPdOpNQPWUDeJq/KDz3/7mf/FIvY/0yL5790vG6M/BSC6dt429w8P4sN4y0CzO9a/H7IcvVj6v2xr3+XdHgdfowV7ufE96mL3sZm+WPP65ea938uO+e7kl3ffvxL2FPfRn32Juvp26i/fmybfsn7/l8a8fS68/4peef+s35v/qxjpAuoQmO0RqaOaA3OG4SUkCeS9kQp8AnaAIWQZCmi/n1jBofBUeLilqQUSSnIHSmTeF2glgVJW2zZoSuNiD1St9R6iNaKURTc2EQ0AT/1pGuJlwGb92AVSibaIqBXdzlTejq6DExQDGvFLMuwBQiTSLIFqxGdQU8MWktksBRFDQSIgiS5sy1kkdJ3YAV1uNvRKRcKSo3sQaQ7BUtCIpMmczmL1NOniDGCUjqSggszRPego0ClDK9yPBmpdUTdoDKoUkZfOmIFIkhSfmfj0CvojcHJktaPcCHgo6CRkKTD4mgMVCGjEBoS2OCINkAekE5AVAQJMnkEEM2dJS0RyenJdSIzEtmC9BEZE10tiJ1F2YSICYQmGU3KItJFdNMTU45ICREdrogkm4hC0qicykaGHZgEmwAbJ/DeEJUklYlqVRJSRqcUQuXE1OAsmDz8u6WzJ24DpIhCI2WDqTqM8vito0WwVSWV9yQnyYRiO1REF0E2bAeJvPaUq4Zg1vhOEMOAlCpIHpFAloAI0Ha0YxAyMKhbZLizTqleUnmBDwJnJHIbwd/tppdyi4495abGKY2PFc2sJKRISGCEZpI7ggbRbmgNpC7DuRGFa8hdh8t6xMYgQ4UqBqQyh6yjjA21KgmZZleBbCUqCrSJyE4RhMGXFRk5IRli1YHXRG9oGZCrHKnv7HR5zMEbYpMhVcAIT347o94xhMIQdYmxUDlHHhyd3UHYkolJSJ3RJ8jMEiMSXibW1lFVibwUqHxLpwt80NzrI73O6EwFmSG1Dm8jIQ0o+pZx02LaIQ2KTmSIkSZYQ7CObZ0T+4D0NfdjhsIipaOXA7QGlSXyvgQfEH2PXjUUI8WgyBCqRiLQQbEp9ymLlnHWcltIeg/RQZ4cuYcsGtiTiC6i1j1NnmOkxQwC7UYinEGRozkjaxNYTUaGFpFMQm0UBMnQS4L2KK8pUkGeDNpG0gqKTKGiIPeRQuSgPZlu6FeJBEQpECq/++4JHjEWIDRRCmwPscpYFyOibRAy0klD1AVRSzqpSNSIEDHW0681BMXQSYbCISX0tUHfEwgVsavi7v4UEmLe0hUNSQZ2t7uY1JFkBCOwRpC0JFSCzAgcgvlCkZnI0MBYZ9wmTUdAjZb46PGuIGhFUgOUVuypawI5vc8YzjI0CpFBeSjJlcIISZ+tGYYhutWsfYPKNLkxZCvP2is6mWOVgEKQKYnKK6JuiKqn3BVkyaNih44lIXrakHBCEQFBos4USXcUpiP1JSpIpIxMig6ygJeKzv+7VVyCKD1SBHSXGA0hZtBnEa0EWgmcAY/FpkiMAr/RpD5D6YI+2xJcRXBjdBKgOtKgxjQ1SQpskhRdIChJlhlybVAu0SNRWqCSQXRjUusINuFwUN4RG3nw9DHHEVC1JaREkuCzhEiaFCUuQJYatItUm4reliQNPlsjUwvhbsOQoCWeu537nMrJhLz7TvDFXdJ0E+m5O3yYJ0weII+kUtAkAUh2okQXiWgU7W3BhgyrPTkaXECS0JVAeEnsNGsjKVqBTpJKFLRNRthoQKIqBaVgIyz7QlFGoIaWnN4URNliioQpBFXsCZmkLw1ucrf5RWo17r2IXAEoVklSmkhZCsy4JzSCGCTSdUgUWhu0CmC422HQZMhcIhQ0lcQ2Bt8bxFDi+0iyHrm52zkyFZJN0WOcx9g3L5P+uvveX/GfGr904Pk21qw3BW0/Z9D6U9vyruW9rd3tXev849+7kiI/R4D8puTnP1T3t8v47ms/F35pEuBNeab+VPglSc+/4k+Hv/bdHUbpGXq5i9/u0n84ZG+x5eD2hufbnH45YO0G7KeXdMcJd6L44DNDaz3LFO7mQkgkF+mKlsJOGGyPeXbvCbEZIi6OkEgkC7JNy/FoRfSOXvSED87Ie6huE1LAQOQ8ZMJLapz1pFVC3Bg2STOTiSIaxiFxLC1ZSCQ5JEwew8Epsu/JXmQc9hYvAtdlooknCJsYpCUP+0RtBWdrgwaKQcXe/RPWX93Qdx3kjiOXoaqC+eMx/vyaqm544E+RQEvFK/cYM3/JOHQcVQU1PfUooN7viN9UxPUIIfbw5hzHjOQNqQ1kUfBxmXhuLtmELdmrDLuzj6skl5+ecs9PyeKIL6Ug1i3Yhhfx3+/P4u5vZyAZJwk9NNeGVihmv3Posw1ivYVJh64zpM/pdvdgFildzXui5ybbZaYLHn/2nJt0zFyNyfNTxCLCoiejv6tLJb7+oGd0Edm7gXVxwdAZCqU42xXgIG0km4t9qv055eOeJ2cGO/b4UU8eYGQ8YxGJm09ZiDW3Zg5mgdMWqyNVVyIQdz5HYOBzJl5hOGNhBnw1OKKorwh2SLD30f1LBvmWg+GSLxdjaCMm35CsRdprkr9icJHoGdHKAotCDRTFY411B0R60rhF5YJ+03Pz4obiYY+rS16dHvM/9xR5WNNunnN+L+LHU/S0JHmJX4B6ApePPLWzdC8ciBNy0bCbXqEXCpEsw9VX5KLCFSMWRznlTQHe82zVsu0/JAwrZp9Yfne7S4VjNeoZvUjoNnJwoOiuR7QBmsmCzsyo04Db5SM+8Ft0VfP1r78ifrXPYDnid8pzdVXhU8ZDdUJ9DRsd+GY38fL+jEL2PPp7OPhaIMlYikc8nFicgX/kE+QskntL9psNO3+Q5DeG/+v9DziYF5RNoB3/I6fjnrySHCqw5pDkdtD/eMtOGlFkGbe/1XSDiAuJw80pFQUpVdRtYKfb4XCmKP7uCdsPItuoufz/PaIf3+KOZvzr+W84yG55PLzmtLTYoyHhZMCJXdJe9dTXHQwjot9HvThgGL5AEKg1yL8bQAi4PnH7wZbJ7ZDH52NqYdkoy0XusJP3MMwZLJ+z6T9Anhjy9wTinzSmMgzfy3j/WU9yE7a8x5NwQyGX7JkZFyeGYaO4fxVYnz0g15G/GWz4t/FTSm95uJaM3xekQQ7VPu7vj8jllo+P13y9n2jtlnh6zu5qF1FF6gcb+u1HiI2k6Fa8TBnBG5TtwJ1QKsuYa4qzAa7b53Y4Zdr8nhg6lkzgtsLMDDuiYHN4SSo81dWIKBc0I81Xn7zHh/NTjjdr+nbNTRVpleTZ5pTMP6JQknjwBbO5JGrBye9u2UhH10JZNshYELsB828eEPUzVD7HWstHnWCYJP/2UGGTBKuQBxl9e0ls4R7/jT4lmj7xwVPBl8OG2aDl8Z5nXFr0vmERO+5tH1KuD/h7SnaT4yhruf27L9AqoVFs6iHHvmPftYjhC/pnsHk15qo8RqUZuV7w4faWTinqMiPtXbC7I5kUguv/3TCIgpFWTKTj9LbkdDWiLOfklWMsPU7NadrEcgH/xzcLBvtwdChwdshm0nJ97JiaA9bdmnl9S392TCMqNrkj7nSwTdBp/GTK0mgWnUR91JJuCtI3U359esFeGjF1J7zIHE4khJF0ZyeklIMQhGtLZhomVcMsk7RBcZEZ2s4gkyAHBn2PsQndwPkkZ5lJljbyaNMxiA3v+1d8yfuIOuPg88hACHoFZ1nierqFBEVdMLw/xHvBsxeBQkzv5r//9zXOoOH2w1MeboFO8PQmUtgCnOGrrkKFNVIKTK2xVQDhoQFrh3QFNJ9cE56Okbeaomy47fdZZxUfJ8VxOiWwwQP97iNsuUN6/pK264ghcLyStHsZFDl+Bk3aQUfNffGKs5MbtruSk1Qg04yQPKcRfPIkOkiey6LhdhQZcR/rGvq+o6oshd2QWY/8EjqT0RcF8tEjlJqTV2v8vRJxW5OtLP1Jz/VNyawdMmRFaBtCCtj7PUqC5M07nr8zKfWuSW+/b0H610Xqf038koqBtxl33z3uTWq975b3Y9Unf0zY/Tqy413tPN8lDb5P2fK28/R1Csa3IaP+eNwPqSDfpEz6PuXLm5RwP9c4+naZ37Yh/hz3p9dZ0n6utv8UouZtVEjfd71fp/z79nFvOw9f154/tuOXUDj+kuX9R2jD9yni3hVvMw//+v3+/ZgKgUtbFt4Sbw/ZmB5/kpCXHcUgkA47+vkU23e464ZXexC2A9xmiBIrxqJlIDvOzH1kypE9jG8Sblhj37/ANYmstpgNyMuGDsGcDOscTVcxq6fo8QzXwuXLlm5/SOE0B43j1twlTs66NYJIM4CXU0HIBEl0iPQSlg7TBHRrAUM+yDk+HrK5vqX3gXMDQiisF7StIc89qQH/PNDsjVF+yL2bSKuv6bOWremxVY03nrlMNEbQO0czW6EOJY4h4XoXr+bQR/aflmwaQRAd1qyJssfEyI6sUcsAheZsL9H0kdBLbD+lmm0wawdlxnZnTdA15spQiRaRIvPNAXo/Q+bA7S0Ln7MKBhEzAp5AIj6RyGZD5i17cpdVL+lIDOUN9cBTS0NaVbioiEjO948Zbi0P3BW3B/vQSFQbGHbn1HvQjBW8fIC1G1LR4o5G1BtHX3vi+T5N3xGMI7rEnLscWm1fkIJASEFuS0rvyRvH8/wUnyJCJA6OHWsvmfUlbuyRCWSEUI6JIpLSgosQ6UIDzjE60ITk6cOcq6ZjZAM7NehRjSvBZQm90SQLLocEVEJzJCLWnhPWHeHriDo+pctgsxvRZ4qyK5jICduzM6yzxLTl6U6N6XvUwhNyiXA14punzMoc2WoGsaeRDi8VQuRM7s8oQmJ4+RDR3mKrQPNJyXCVkecBef8VN0tQRjL4WFN8fUGfSpbscj7eolrP9rOM0V5CZYI/hJJsMSU56LstG+FxWQ+TSGs9Rga0gR1VYozi88kT7GaKSmOqg0Q/vyT6nt/EHeaz+3TJcWNO2T1JmGHDqX2GKhIIKPIrjjf7DLc5se7wVuMDZF3LaGfG8LCjGkjsuaE9z5nrY9AtUr/i6lFNNy+wdoDVE6puRb7oeB6OmaqeQd6zyRvsICfkivGpoxeKLkIeztgdjMmP3mNlTpGdpf1S8/jhDr3O6TYakd2QB4fqA1tRMB81LI/PqNcJWUnkQOKfr1nlGaG8j7w8o3EdZ5mkczuINCa3gvx8ji9quoeSo8sFLBKh8+xZiWCCut5HhCFeapzc8nAwolQDxuqQ8cyjTU3+YMWrq0OcT1wHy14YMJRjhnLA4PyKuOeJkw0vTMAmR4qJ6UJQ5YbFgzHbSUcpBcdmhD+/hiagcYx3Ev2kYqEFUV8TcFx1gUdpjgEkl9wed0gdqWRDOr9B94pGJJp5jSQwTJ6L1rFF3FlW55GuNZzFKcOqQxWOW9kTRmtspuikJt9cUTQK+1VFrVt89HzkHDfB0dAyyzyNBx/2yM5L2rAh6B47/gw520c1FZ3Y43JS0xw07HUz7G0HDeyKAfcby14MiIcGi6ZTivwlLL1iieBAPWV05KmmnmyTmK8CqyYQijPseEJztENMF7RjjTvWPLo9JcWClHbp4iVegRASIQ/+b/b+68tyI83yRH8mARzpOnQERTJFVfb0rJ65///jXfeh+3Z1VWUyqUK79qMhTM+DZ85ic5EhyCCTJfaTOw5gZgAMBrONvb8Prjpy30GG9biwmWamkw56CcLgxp6bAt2mosRj5F5GPYj4L2pKKXiRCB+vELvI/guNkA6VakS+B086sD1CgaCh6ARmAXOJGiJy1SN6hek9livytGIlA4vykm65jzABNXYU31NMC+MOloJYJG22yFMB6TamkrVbSh3xewHlIXvJutMk3TJOcKcT7JSiUwolIdy7gFRYLywl7hNLAbaY3pBlZjADrBfYIHgkPTfzTKBg1nCkrjEhEZ/dp2uucMYh9yThYgJKIj/ZkBcj5CBo3AXTJMhIlmmEPmqRVaKcGqgLRQtYHzHJO2rWCDNHyIjiVqyEuCZR4csRhR3ZDLx4MDDkBSJI7nnP8maLU4ZlPmZytWW8i1wd7IOIFBUwp1uKT5Smx48G0IbcG8JmxcTD3kigxo5Oz2hdzcNwQchTYphwKF8ziMggCkEnpMzILCmvD5kRmE0XnLUn1HtrRvsrapepeqi6t88N/90qpd7F4vX3nDz/0lbFXyt+ruvwodUeP9Um9F0S5/uIpe+r602LwG+X+0Okwve1+/sIkx97nd5EZrzL8/btdn4fefN9BMi7XKsfat+b8N2F+rcJkm+3431thW/CjyU7v88e+i795ucixd5FMfhj41H97djvPjs/Bu9idf2QSsK/N970/P/t7/ch578P/5HfX+8DCUTt6VSktBo/U5SRZCQjovKUaWLYNKSgyVvFMFMUbciyosoFWzIWiSwTyIJcAs0AcpQJTSAxQJYYX5G6gBcCZzQlCUJR7FQFtibGwGbniccjKqWothWlub3n8tbDQZbgLfgasghAwJyNkL2EUghSgjHoaYN4vaW4gM+CgCUkSUqSIhQlK9Iqkk5AIWjWii2ZnoD3HakIktAkHWjrghcZ6TzJQhaSnDVCKXQRNE5T50AUkShbdMnoUjCAdbdZlq5l+Wtmr4I1Gi0cKjrErmY79vhSsK3G2IBEIoaGKlZoXQhBkRyEBKEWUDQUgVnWSDqUKExdRUshy4QKmQGFV4KswcaI6QU7VTESHisC1UiSnUTkQiMTQw1lJKmfGYqwOBthJCEVSAnCmJQzUQbq2hFFZOsFOUtkFqgsQTSkEPAOhvENSIWRGmMKKgskmqQF/2/+7bomcWuH7JKk9IlqCMjpPsWC0oGNl8gINUBQFJtIdUJvFUJKxFhSBoNBM5GOVuwIIcEa1MkOpSTCGsRLgXaGmgm+q4k5YYisiGjCbXycWCFLQXYr+nSACBpEJHtJyRqqiLIRlRV51NAJyWASpZKkxiJ0RpUt0VqyKYgDQV05VJD0PtNbKBHCOsIhFKvohhqnx5QI3jekaY+oBUZGgookEtJJxkIhreBs7BG9wkbLRmdKM2B8xyxMaIcxTlQMqiKMHXkeWfUtAoUsgsl0YOxqJj5xsxYIHykZRO/BbED2GDHCd4a0ruibOQ07lN6yvZcpxpHzQJEGGRXSCbbSIkee3ERkGXAGOm2ptpoh1rhsGOWWRksmtWWYt8SdoL8xzB8bUjJor8nRY0LECthmy6AiqXJgDGUkKXNF9XQgR8NGjjHrmiQzgw2gNKpoVBGIOKBlRo5qjO6JIRJ9ZJohB0tsM52SJJVJdsDoGm0Nsq6pLjagBMEqgvD0ZHJyzILAaA3WUO0qYhVoXSazw5eMc4KjkjBKsq1H+LLAJIUKNXW7RgyZIiTCZIQKVN7hqoGSI2lXEGlAyoy1AjeFrBUyKpQaEAJCyVAiBRiEZF2gS0An8IMgJUUYjzAqApGsMqnqSZXGSYsRDqJkt5gx6IYiElWOkD2JxFA2hDyhUFGViph6kB4pdtjYYAZB5zTdrNDaTBN7vFZINSIKS60zRsEygE+SmBSpV3iREGpgX7RUxmNMpFoI5FpRWhjvJ/JI05ka4wIegzeaw7wgFU0sNR01gQJFUIcxYhdx24FUKlJVEJNMTgIhCtpEYhUJ0SCzgWKRKiMqQS8tQmaSFLQWbBZUO0HIgYxBCUOeBoTKqCQoqQHlETogxIAphSZAX0D425hSg9L0KuNKJOORRFAFqoyQCak8SEPh9j3HrlBkAZMRIZFVIVWKJAo5S7piIHXoCDYZvFYEBVIViu0RRRDHin7QJDJFF2T66/irBTn2kAWVBGECAMJARaDKgtDdZsJDQdWAN7eZHcXcIzczpFOQtjQmk4SmhBqhA1Im5LYi7RmS0ZTWYoLD4BnyhKgBK9HeUGJABEHWI4TwoD39uEAbUFmgZEJnRyQTqBl1FoJiaBQqgQJU3yBlgMYTZhmlNSpXxG2gUYW6KkQESVQ4NSIbQS6SLAXabdFRopMiuIyOGZ0yoVPoZkBXjmhvM0pqZcguogdNtXs75fSzk1J/T+vFfxI//4lfEz40UfZTLGYf8nl4kyrtlyIFfwqp9i7l/1RlyZtI8u8jWn4M+fJjCZvvI/1+DePl97Xr104C/VvAd9Vo72ot/m5f/jX0kX9LWJbCcCAYjhR8CWKpkDvL0V4hjQoDhaHswFXIcMydbY3TPbvqnP1+YMce5+IEVoKQO4ay4biC0s8Izw/h+DnVfMpsfofzb77EB4+JgVIa0syxmb8Gc5/StuRwjhKezk1wi3vEh68pVBT/GGufM9tG7i3gL5+Cq6EUcG6OyhkauAZSJYmmZqweMWLHvn/Nc+4Ri0HKAZopuSRSv8FwgxgFtr+F4YUl9RbzFIq/T5UTd8RL+oOMoXAs4PW1w6kOY28n/X6kOH8S+eSbFXoXeI5hPwRIkmdln/2yQvYJ/zQyzoVxnbj36YrnNrEMEvu04Baa/Ncuu/OGkjUGuHPRU8vIMwsnokVXiee/EeRXc/Rqwn0xZmtGJJmxfkAeRUoj2b76BJ12WNni7l1zuBZMziRfpgmXcp+1PeL3+UtWLtG6wvieZDcWaBK/Fc84DWOuUs1hWjOfRqoptNJgzzPTRcfdf3jJ9UpzfWHA9lQ5YHeJ6/05y21EbHt+s5O4vUQ7T7x+3UCGmoLbPSJHRY4wSTC0kdVqQt3cME+eeQh8c2XhjsE81rAcs6kj2/sBXu1DvaYcnlP2HcZWTOuG9s93IWzp9SuubUVCUwQEEyhGIaxFiEBKiiFWnMhHBOFY5p7LLzNRBUIj8S8fIcaO6sELzFlH8RJfQ/3yAanxtA+esjj9BFEJxO+uQAXMJrL3zxuu7x4SsiZ/Jfjotz1iP3CFYG98RL2refIKVp88pIx75gd/Rr04wJQxT+aazydjVrWkXD6kfthTN4HZ1ztWrsWnAH/SVNahZga19w+UdST0mdOXkf3fjxE1nP+PZ6w/uk9oJoyWB+y218SYye0+LMaQNeL3ge7oGt9f8Zf/9Rv+IM+ZsaV7PefVK08lBEr/Fl0CyQTKnR2H655pm/jXL454sLdgb/+Ml+UObRmxEhV1dUH7JOGOMv/3/1fx9GaPnjkHTc8y7+PClCIv6d0VaXeOE3N2QtFlweXNFjGqUHrM4b9kpjU0+4LLFtRaoVeGuj+gJIXQgkd7r7geFK+vDV58jJZrrFhybxrp0pZl3OAeW+77OR9vpvz/xl/i/hpnbbyGIWuWccTZ4ZLxRLI3i7x4/TV60jD56ICtvA+rA9SzzEi/RtkOJ1pupgOtKLQJ7vePWWwlf/6659FwQ5Vh6Svq3yzRomF0dcBWrtkOiu1Nwx9ipBYGxD7PtmfkoWdv95SLex9hh8STL1+jqSjTMfuP5hzJFrfVXH99iLOnaNsivOfOE0Evpnzx1WeI6ddgQV0fcaXXjCae3/5WEr7sGTaOWtawcJQmET495JpIzpFSHDMeosWEfyYSREcqA2VYUYpDTnrE//Waci6RvuJw9oRGnCHGL3n+VcI+FYyF5RxBnj1Gzw2z9oz8UcUwDzz7l3NEt4fwY1KeciIuOeScOzzCPV/gn+8YTMVcjtib1NSTfb48X3L+1Uv+y/3MsJ2zbA94blsEHQWP979DcUWVlzw8HbHQnosq4v1n3K9a7tUt4S8WO9pxcLLiShdme4bjcc2X8RmlTcjzwgvVsF9l9m3h6l8eQ+nQdkXfe6qyYSo7XFJws8f49SGr4w49WKr1hNxsODAT7jXH/PPRN2zXmk03obRX7KUJH/WPOK0uiCTY1MgHI0xbMT6/x2Cf//XjCfSmhxrkRFJe7ENrQMO6W5J9wTnDtOuI2vCX0SF13mKtp557uKlQNUw/DlxuXuMTt+rU64rJ0PCwP+Srx6/ZiYA/N9AuUToxHDtubj7FUODwG07GEmMkrYHXxz19FpCgelgQnWH51ROahwuMgeb5FHc5p5TCnumIuSHZgnu4YHQecF5xutynTHfQJHj1iNlVh7GF6kAz3XfUpkMsCtLvEbF8eXjKaC/QyMh407HmIX2aYK+fcycGRkheHn7MuLrAVAP93pxZmmGHEVde4vZPKc2K65dHlALC7vj6H6GUBdItiF9k6pxoRCR9LTiIkXmMnJWOPhi20pD2v8K3R7RXD9g+fsqJ2qfm8K3zpA9GSv1YW9/72JW+i/f9Uv+fsUn+Ez9XXKn3qefbVrGcM1LKtyo43pVg/bGL9rfV/z423B9SPH1bdfR9+CHS4fuOedvC+MeOLz9ku/s5rvm38VNtft8d/95F/fKuytFvq5TeFz+k7Po+S+APteV9VIDfrffH4F0I0Pd9371P+b80vmstfhc12Zv2++5vH9IW+y74dt/6kATrT71vvqqI7ZjixpSUSKLCl0N8aula2Eqo+w06BULp2FYjkrwNcr6pLFVyPMlnpL0ZfaNpR3uEkmlyxeOgudpYfJJcxMK6PKSYFqHWsJDU40w9Tyy2F1S7mr32CXLpiR4G44iykESk5A0HUtFkiy8CfV2I0hLjFEYbsgg4EXiwFZh1oHwVWaQ1UfXEWFBmibaCMHEwtOQIrY0MXUSmTK/A7QVUrzm+qrlQiU4WvvZj+lGPAoaSON4TRFmxfn1MGBeKiOjXu1uCTFfsL2dsssDLTKU7AhKKooQBd5JJY3AMjK8yo6FwpgdktmhREaaHZH+FIDC+V7NerlkPHYMeuKozUkFeZBq3xZTAFRVx7BBjz1IpvBxDqigqgXIoETncPiHmDSvrOBL7dPs9YbTi2dkc3wdKirB0lM2YKGtO1ZaqWB6LhksFoR0wbUCLG6q2xwjJqszYGY8feVgdMNpaJr2k0peUHCh15Oo+xH5Gup5y7K8wpUGICc9yByJhdeDeKrAKhqFY7oQTdO5JYoe4WxFzoXzpeJAGrI7IKvIsa0InEPGYpCY47cBsaP2CiRqY1XAganwc0bsxxy9XlD2HOxmYlowjcl0iem9HlXqOth3Lg4xONfd2dznXa0zsOTmF8+EOjCKTh5ckf0HqE+a8sM2Z2mfuP+t5WaaEVBiqljv9NbGpuPjDjLYaIXcFnkXUbCBMPZenI0YvpmAlr6vCPbHBhkjaCtLBM6yC+8y4Gira1OA3UKcJqoLNR5Zz36HpOZQdrfYELQhhD3mxozQtV58YjtOG0dZRRvtcdPu00aMe7DgaOpqVoP0msr0XyDPIxy+4FJlBVPwx3/b3Tc6YS8ek9BzQU+WWvcahlEIuDiBMKL3DiQVJNJRSE8Ixs82Kker5fPSI3ahDVJfYi0fMmg1m74z6aMp6KNxcJaLdceAlD5Xk66DY33UcFk0QHyHcQMiOybFnqCOuCnRpiewU+lJBc4jQI2QzAnuKlAmDor68Zmgi4TAgJrBeFb7uHXGYIfY96m5PaaGUDYivuD9JRKas/B3SzmGbiGXF/eWIpCLhdxuO9TEhClZuBbM5qc2szgbaJ0uknXBf3mF84lCbwN4LzaBGdFXNYCpIBjP21JNrzl+eMHaZE06BiLeSqwNLkDekLHmWZ8i7PdL0qFMITU8uNflQUqc5VIbLkyU3F4fkNKJ87Dg8N4xVYX6/4+k3DWED8i8XLCcTwnzCfZaI2FBEjR8q6rIjKM/T1DDnggmXxFJxPt3R1gI1e0h9tkVmj9vNWIxrqjEcuzPMjSdsDO2RZagV6IosDsh6Rcw7LjtHen1EXBygP2koL8awEoijjm6AnCWrB1ccec8kFdbSoTYH6H5OWr8khQlS3KHdfY2fbJAHkeOtp/SFGBNXT3piN5DanrN8QZ8gRMuhfoUKns0mcJEOiaNEPEzwzT26m54bvSYf3GPUamabgg2n6MtEWhcepyX9QWB3HBgWgagyXaU4bI4Jm0hMZ4j14S2pi0ccjXAu0G1ek5oIsUFWM8rBEh96FuqM/TsVTsDaDzRXhSa0TM2GrS9kKTE2UcWKtFPEnWV0b4v0GRaZPX3AYCLOLElR0zSCk5M15VXAtRUrf0JQVwgn8N8c0YTAnMBY7IguEJXh2aEi7QxjkTiaB85We4RcECPPKF+gJKwOJacZiJa0O8avC4QCeoIsG2RusbYmXzYkoHYv8fY2KUgcEnJXY50E6elmhaICOb+ApUX4CmtviCKRZMHrlvYm4KJB+ALZkfEwAi4yKQiW1jKOS6ZsuAD8HmhTOFg6KqkRcsLsqqYpnip7nhTI25rQnlCyZyQKdczEp4kGgRGK5dE9prsNjWsJxxMWpmMrMt3SIoNAZIGYH1BKIYYFJSq29CR79dZ50s+ulPoucfS2CeIPWTQ+hJLgTXV+u9wPjZ9jEfK+RMivGT9nu38qEflz9LHvbn8b6fo2C877LCbf9Vq8ySr4t3K+jzB7lzLfxWb2Nqvf9/32Y4icD7H9+35/F+Ltp/TNHyLPvj1+vkmJ9WPa/qZ6v++4dyH7vtvu7+777f/fVN9PIfTeF782UunH4IfesT+FeHzXcn9pBfP7KsK+Dx+inUUIyAqCgZLJooCQuKBxruBLYUa5jWQkYbCC2+iggt4LGgKzPNAbS6xGyHrMICuaqJiIyGoDZSj0LuC1QUiD1hoxgJISU0loI6KX2DBF7gZEcQQ1cJtGLVLUDikzpdxaWEQPKmtE0PijgawTJWskCusFcujJZsCLwCA0xQREVZDVQBkiuUiKhOygJMmgNdFKjJRMMqy0I0lYVRJZCWQuQKQWmigq1mlENlDMgB4WDI0hKYvMDdEUogooIlL+za3mybUmVBbvI9MdGAd6mpBDgSxIyiABJRJMJL2HRCbnTKw1UkvKAFJFpB1wviOLhFSC3SySW1BBkOWAUh4jIjbU9KIjGs9E16hmR7AdQzujCI2y4Jwn5YpURqyrgUNlGUmDcgNxEMQelGlRuiCkpXUGLwqpLthcQazIUWJGp6AS2Qi6PQ2hQnf1bfY0IVBSUqJDaYcRA9IndKqoEIzSiCQVnVaUWUKuE3rpmageI6CgMGRKlJRkMaICUxisoWRHVgkvLVrVlDQi5imz1BKDJ/rAqNRkFJ5IN+5RwTPeCbT2GFlRmTFarDE5YNtbi6e0hXouSbuB4DMlQCUcdczUm4TMGlQhNpJG9BSZ2TUTRFDQSex1Q5rsiCKz9TWTVUA0kd2BIomeUjJdsKSwRanCwbhiHS1D0vTSYLVAN4K6sbi4Icaee87jdSA1EisqbLjNWJjmE9R2wIaIEhOkU5RkkDJQyUzDbWylLBSpkhTd4aTBCcVJlmwqjSsRIzpqmai1wFqPKgWEQQhFTBYfCpUv6CLIWjPkMZVzTIfIq3pEHG8pTYtbaJR2TMyautlj1VvavkJ7R+UN+0IiVaKJkT2XWI8mxCRuLV8Tj7QSoTRBQ9Vnqh14OyJS39pCzQ4tJVARdCCaSLIJFTM+epYhUMIMnQtWD8Q9Q84JlReMJ5q2NwxrgwgG6QO6HxinSDADuVkxrQ7pvWCTFNpoospEqelHkUZn9oImz2sMglmTeakEg5CEoilSIFXBNI7dmSSHyFRvSXpEUQaBhsETvMZVM3TTIUVE7SBldxvnpx6Y9ZYiYdV0kBqIFlklmouaiUhMT3bUVhGiBteR53OK1djSUayiFEnZGWokWsNYFKzYoUkoMUbaHTQGMRox0j3aR2Ie44UhEyh5R/KSGCSp0aSpRTT1rerGtzBsSAWGjSIOI+zjQhwpcojImSBkSXKSVPVMRGHkIQpJNpBjRvoOXRoqKUkeymRA1plxL0gm42QCG8Enis5sgiOWmpINE7FClkAoBac9UcXbLH1DRcyBTgqkMVhnqCPIZBHBAwFbdfgmwygj24y0oEYSmRQIR25apDi5zWynI00jEDiS3FH1BTLEGsRIkUKgzQMHM4uM0KWEiQmTBiRrShlTBLdWO9lQkgQv0FWPvDWhoYXEGkldZWgNwkI98gSdcQHCUJFH3L4jWkODwFKwKCyCTsHGBHR3Ox9QWpCzJScQqQLbkXUhoRhiubUjdxrVCUyEUglwSwQOYzOpbyhJULKjiEIWhVgS+IJICiEKcQTFFKrdhjgcQlSI6RaCup0/mI6wseReonVBxEwGZBLkvpBcoVQSWQ2o2yhbBAPeQDN4sJCUQjpuU2zmyLQkWj/BlQZLxIqAEZHcFmoNjRFcjyui16Sg0MriTaCXAWVG5BIQJWHqBmUGpBgQXhJEpKviW+dJv1hMqfeZyL9pEvtjyvu3Stb8J/794tv9N+fb6fT3Lep/jr77Sz0PP3WBCyDl27M1/BT80DX+ey+k3xXfR+aUUv636/ZjCOy/lfvtvvkhyJjvEgTvSm7+eyCCfm34PpL351D9/T3xa1JH22Eg33WEkxX86S6MduTpiuW6QbvAPARmomFnBK2BYdYjJhViXBNfrPDdLWlwvmlxS0VMY7pHY6a5owxn1KMO8EjnCOP2lhCKFQD9Zkq3OCQDbSm0xVMvM0JFStVSRAEzUGY9LwGtFNVthCEaWuZlyash48UEmR/wQlsMW8bDc3ZuTlJjNpWBfYXKgeqq4CYOJTMHCxClYlANa7kHvUbkgUqc8cBt2I7h1acCYcC0cCh7rl8c09OAKIixokwkoQpcf30HtiMATu6/YmY6lq8t8yaACbRSUPtDdCfx/QWbQVDZwicPBq5OBd0uYFevOPIeLSVPtwNizyLnU5pnhaNqHzNueGoF3cESFXfMvnpNe7OH3+2x3rtmsuoYL6BtGqZ1wOrEzfYFQnuKEVxOQa8VTad4wAJxrEkzxevXFu8MRINzU84mY65rw++fPWdTRdajAg8kyH18ntJ+fY2f7aEnezwQW5ZlwzfJIccJqoKwAiH2mZfCNK94yQhpEsbckIKhDo5Rcny+1zDzmYf9BrhhPSpczAui2jDXhUMJUcMiHXCze8BdBoLesTMLHvhzWnvIxf4n3OvPGDI86y3zSY0VhkrA6I8blrnn/KZQ50/IRTDJW673dvhhzPjyNzRn/0qYJl49iajFFOcMX7Gmr55SW0vye4y/SuyK49X9LZ+dn1GS4itjgB22TsiD2+x2437gD//rFX5SKGKKqD7jy0VilxKCMVN/BSYgmj2k2jKIHS+NZbgeMxkLRn+8Yu9ygChZ/u6IzXjDODj+8HXh9SoSPRxqzfJJgZPCw3bHtBLo1FA9/ZSz/aecVSv+z9PX7CWFRLL9Z8U1iu2o8NldsBPwQXF1esBMrZnJlmfecveg45PKEcSa5fQ3bGdHXD4cM/2yQ197UrlmITt6n/iH5/fRohD3BP99NWMi4VhXzMZXPE8tF7vEnx+suXchuPN6zvR8n6qZoqtDppd/Ros5zuwjjp6hbiR6M0L/l5ZlXnETlohaYF/tY18d4u+OOeoGHvme/3lWMZTbHPP3yAy6sK4iX31yTGq35LMbqgDfHlXHi8LhrvD6j/fQuWVvc4mfjnG7RHp6Sl33VG1Af56Id/fou5bVnxY8vvsNQ9dwen6Px4evmY/g7v2avDiAPpPbZ3yVD5lMDNP/dk5MLel6j/KXfcqDSJxmhr0aZU4ZVOLzgwIcMO8Mv/3S8S9poJ1I5GcN1UZQZMI9Kex9kcmxZXXyBaP2t5TFhPg6MX4yoIjEz/dQ4j6elq//xz9z/F8eUu1rspI8+cLTnxueDr/Hf/aMrBw8ryiT+4xmHX/M3/Dcay6LwejMIIE+US7W7MdLZqPAZDZl8dU5fbvj6z8I1CwigWojSYcjxMRwFP4Xu0tNWQoeZ8/r4tl6z9HnnvW9RPcgU/cP8CtH2HmarwuD92wTjMQx/eMV7uE5+1+fcMKGuTxDOxiuMnGVsM0+/eGOaD35S8FobKiahsVqAozR0jIN1zAt5HvwG3HJotXcfKlAXyIn+5TRMXsv/oJpEmGmeL38PYd3Vhw/uuCLtSMMhXJWaFYN+5PEoQhcX7ymnQnaf9BYNDJLUtQ8am+wTUR+Bp98LljUG16fbMBOSVVDnghM2VKtE9XLQvubFt96rl8mzCgSR5lh7pGzR8CA8q8JpxZdGcxv4frVNaPK8psHR7x+2tLFxPOdZpg6pO2x7Rmkv86b6wUDsEuSV27K72RFEzPV6hy3P7CMmuXpPqAQQsPTJ5zff4nMDntmMEAWid58zWH5CDuq6X+zI7wylG1mOgy01TVO1Tj3AHqQMhKbGwZnKVFQ1x690FRZcc97rsyO3VTinxRmp2NMUMjJQN6A8oWDgwFzfUjuKs5KYdAD0UQ+i47ze4JtIzDfQLvSDEVi6Lm507M58OR1i90Iqhasc9zkwpbMI7nPzq7YGke/JxhPBbbJzN0prhcsneXRM8lVqVgVzYm6w2bvkt3+DcfSUKeAGm4DuqtZQO+9nZQS5R1nj8aYd9nt7RW+IU7IzzGRfZN8/9sqlZ/LYvAu5/S+db7rdfq1TMbfhF+ijT9VjfJL1Ps+1qp3sc193/9/O/b7FClvUrm8C4Hxpra/qT3f/u37FslSyv/N+vc2tdUP1fkmtcT7WADfhcD6235vGte+e+3fpJj7MXgXO9b3tedvx75rHW9TyXxf+d9u37soVH6Kou1tHzc+JN5VAfhLEjbvosJ8V5XQ+77Lvnve7/o8fQi8LxH7rtfAOfej2zTS9xETB2OHR6FSRqVM0omqq6n7mnh/g+wycl0oNmOMQWvLIgRkDbaR+KUguBEhjuH+Au0M1bZmv14SE/ReEk0k5oYYpnB0BUNNWR1yLJb4SWJ1CPWlogRNLBVH1QVRZjZFUfkKlROyDLQPJcoVxqcBZ0/wQtNnmIgZUgwUcU5/LEipgtUeRlUoHKJckXVGJINqZ/gjiWgKtgnE84zooYqKZrIgTgI3dyWTswl2V6i2GxrRIITGI1nMDG6SSXc2lF2N2DWYs0Mmow6hHG3ccaeMENrwzZ7GaIdMGX2t2XNbrC6UB8fceAgucLi8pM97JGGQ1QZXK6KF3HSMhgaNYXcYSXiKA/PVIeWgRTWBk7ZhOyoMEuoz/dev4x4fJfM8oSo1z5UFOgyeh0bRlsiQA3M3sKWiFQ0h7DE6SkymgbvPO672DTd75pZsij0yDBwKDR2UnWDWGm6qgZt6QGbByCQam7nar5DXE8zFmJLPwAioJLP9RN0q6rVmaw6psqDJmVf1gsHWhGrC/v0tYuXJpwPVOBCSoXc1eWhABUTVoyeOoAyDHDGtHTqB9pLZ+jFZeAZ7w76esEmZl86z9+CYImAYBuRujdIZOxX0aUNxY8TuMdK11Kllr9zw6mGiUDHd7DPerHHjwNWnifFWI1pJXEqOU0MRlhtrseYGKR2lBO70ghInXOSPCHxFLhmZHnIsdhTjOZtH9ucGTOYmtkwuJdMID2aZr7YVayOJHwXs5BDtLNX/SvQ+AYGZWbGu9olKMRXXaAnkimHziP1qQ1V7dncE7qIjbCMxGhATpFZMJpfUBjCC65nk5KyhXhu+iYkHk5qJMZxuE05ZglbESeZOCExC4HJ3jZXQWMPD3z7k8ipzs850R4JR2FGHDjOAEQNaZIL8LTtxjS8LPt5OcUcFt5epLg3DMMb5EWW+JSRDTAZm14SY8UHgR3uMdhXjzlL/sTC5XjI+X/H00T3KJiNvAr2QGDZYsUROK4YQ6JzD6wPQDUJXyH6NGg/ovYGyaRChQeQx5Y83iGIQ7YT4dY3MLdou4PdTgg8MVzsebjPGa4qvUEc9biLYTCxsnqB2PXbxmuHgEKHA5IHOOCwz5uVjXh1eoszAEY7R1y1tgRd7lvvcoRoi8vqc13uHKFVxPyrOwoCXA6JZ83A1JmXLc2v51BcokReqh5MDSjHk15lmPEE1kXj0mpONxIaIZ82ktaSsORvbW/WQqEjpE476a2wc6JShCgppFe6Rork6Q6Ye/2hKWDWkweCLIuRbTeEDecGlzmyzgKs9ZhOLsZquaELdgu4ZlY6wmZKGilongrlNWnF0PEecniOWG0Z6xup4SzsbkLqm6AqVLY//MmYpVmzkhiAcYU9RxoqHK4kLNX2uWVRH1C5QRcf6oGW+yczaxO7BjjwWFCsp1wHrDqjiHvXknF3QbAdLszYU05GrnrKroLaIiWU23jJ0lu22wvkOozV1ZZGNwGXBkAQPRxVtkNw4wWQWkDEiusTJVrE9aLl4sCQvJPgJyh3wOzaYJpGmiatLRy8SQxM5uFaYKegHhdM8IfUFtfLEzRhRBeTRFnVT0+SaAz1lHS/xo4i7I5i+TGQn6cXtB5yUBCForI1kk3B14pOVQkXBSsLuI09MNen5fUaTK4oOdEiOj3uImsXzE0rpEdKjqp4TZxFKcH7syUGgUIyrhtHNjpQzF4eW4xvQvrCyhcofYLHUk0DfD4joOWHLTgi6CpaPgYWGQZFljYoeoxLTRwXXSUIvSOvCON1m6vMyMTS3GVTzJFNd76O7MXEOOl1D6lnHBxyHFbPUolLiPI/YULNXQc4dJQ9UVSEqS7SacNeTriaUxYgm15gSkSLQ7XW4mIgJanuEqjZIsyOeH1D2Wzjcsftn/8Z50jsrpT7U5P7nnpD+WHvSu+z3Povzt+37U1Uk30cofB/J9qHxS9gcfmn8XIvEty0I37TfD1mYfqiMn9quN1mqvq9P/VRVyw+RUG8q74cIqbct9N+l/J9CDH/fc/8uZMB3t3/ofvhjy/uxfe191bAfusyf4/gfKuunvAt+SaLsh/rbj6n3ffvoD+3/a/wQ8T7E24+FVwaTI9oL9KhDRo0KhjQJyCDQg6GtMtolKjI6CUws2JypTI2bZrbzhF4XkLfZiopPlKjJSGSxZJlxlUAkIGtK0Zg6AwFUj809yICtM6Wy5DKiuDHT3hBlImqBkhWUBDFRRpEkYdCWJllUAV921MJQVKYzNaLukSmSVUIMgJSUkUXGSM6arq4QBpSOKF1A9CQkmzxFKA06IwTUvkY5wQ5HVQUq6dGxsHWWKAVyuLXrYRSiJELUiHKr5ExUiHLbbikDuiRMNlgEpgjWrgIyWiYkkSBqvLDM4hmxbUhRkw8LbuuI3iNOAiIAyUJdYUdbqjowujxkO4ZYF+qU8EGSiiBXYHpN7SsoGakl0igGq3G7TOgERmeUdgiVgRlaebQc8LUimIooK3IU0Peo0GNP5ojOUVqHZkytIiOT8c6gg8RmqDpPLolSgekDSWtSY7Ezh00GsxlTaYNCkQq0dkQWNSqOqJzHl0xXSYxUEAMiOgZr0ULRlIpd4yA71OBw8xohMqMqMll4onGkScdwfYeUbq1rbuZJWhB7QXVWEeue4c6GIgtiDeo8UHSkiISJgqayeG8ZFrcfvQuSEZZ+nKGAXUKdBaUoVKkYSkXS4CvFfgKioeU2K5mSBakHhhQoJSN2kuG+pjSJsi1olZAOwhJctLiikH3AijEqjFgz3JJxCLZCENOYkgwprXCikBA44zlJkipaXjYVcpyR2SE7iYwaomLTSVxV0EA95tYelysCiZDGeGqWJZPDjhI6SlcTR5psBGOZUUahKsmgIqsCi5zYsx1u6OlbzwxLnTWjLPDZshoJVlVi2yyoG5g3CtvcY8iSXQ7sry2dlqx0wuw6TDDUscbTUIqCqlCrHq17iu4xI2BIt4kQmINUKJWp3G3GSRkE141AKYUVFaiIsILSNIiLgeJHxLxH3G2oxobRviUJC8lDEAxxRSqFrAqbHmYxciwT60ripWTw4FXCyohMHrVNhKJovabUAlNb6lmhyWOkF1RhoNGZUCQlKKzOSAI7BvJEYVHU1xkrDClmysZQ5ylR1AgsyAsUPWMd6L0gZkUi4WuPmCbiviVedqi1/2tss0ixCWE6ZDAoaciTAdu3mBhp8wETlakM9FpjZEMlEtVBx7UfMwyGfNUh9gzGKGY3t3GIdKURlaXpwOwyN9qCHRBGsFWFuuuo8AzRIJPFRhj3ApEiAkdVNNQSNysk6RB9g+5qtlkyWEG0gpABU1AmUZKApJG5vo0nNwhyMNQ2UFcDJnlWU1BJoXaC3lv2s2UmNZUW+OgxJZDlCblEih+ockvfaXrXcFQPpGJQ2ZJERwwaF0aM54XcFdQG6uxI3lANFX0jKYNGrhStUngRgZriO0SXKYPEJQNaoRoBux2ySug9hSwKg6SuBCx7RCsxO0uJkqQkvjdUyRKjoh8yxRRKhhwF2kPKkJuMcUCRuCzIRYMoKNPjRIVGorKgRhDkrZ1PG0cxA0VkTFGQFCkZinFoqahShS2OnDNhAGQF2hArjRICIROMW+zaYIPEFKjRWGExApz0FCkIRaBFpioC0VpSdJQoUN0YbUA2BV80nUp4k7G5QieFLrCcDOBBxEw6TGghsFnhTMK2oFuBUBNU6dEM5CohYoEU6USkEh4rEtWgGLDshhr2MyobpDBsC8yFopKFojYIVyG6Gt8JOJQwluhcIaNDvJmPAt5DKWWt/d/+f9/J2w99Jf0QSqkfQwB9u843qVB+6kLkb/aX727/saTUDykOvlvXmxRiPwV/a8Pb1CXvil/DAuWXtpq8z6L0fZQ976LIeNMC+U1lfXffH3PNfqwi401KorfZ1L573Lv02+8Sce9KeP3QM/dDpNXfnqMfGit+Cj6k+vJtffB9lVhvK/td8b4Kqp+Kd1HMfR9+ikLnQ+GHSNS34V0I9B865l2ejV8b3nYPf4pSSh0p5FSiRoKDrzJBGnxtqD52zG5gdgaLktlUhXVTkHOB7g3VtmJvuIc72bK9f8XwIqK9wcYa5x9xONtw/+SCM39MWwwtivr6GpFuyZ57DxwmFdjBNzdH2OQ5YsWrO1CyotpVfOxnmOLIrPnq94cM/Riez6g+/pKMwm2P+GR5BtGzzJkDIRjEhFPuUVWX5KrHjTzlcoqoG9TjPezZJUX1hHsB+9pSugbvj5jmF6jSk4FaHJBmkuVnLY/iQ9g1vHiaEJ+9pDEdD68KF70le9h3jpV4SE+DKx7522tk5TBfG8LJjKQhL875RE6ZJMV2ucZwSDCKZ0eX3F8JbCg8nRYm6SFa1mwOv4HLe+Br+OSc5tWA6iPtZwpzbbFOcPjA0wwggubcPaHbKXCR35WnIArewpd/MOy9jDTXktfiU47ZMRFbvpqueOAEB17ytKoYtCeogGgkdjCYqJGfesq1Ji8N/d4+pu8woWf0aUW4ieTryKfeI0pNlBV/frQibY7Qy0N+z1fow0Q5ELz6MtLd2WN4eEBZvWC6PGK+vsf5H/+MKDVqmKOWU4rbUNwNpjP4uccdDXz8cp/dyHN51CGqf2C2thyeF54f/StmcExXgoX6lHwyoD4557/+k8CMp6SPTvh6MaIpK+6ZF/xpf8JQKoofk/9UUMFhqxX+kUd4gb2wmI89sTfsvp7yh9+NCKHi2fMxKa+YC8GncsQXT75hyA57YThwDmMy5QDO7AnOTZBXexwXh0FQsNx8+iW+aSFAuknQN6jwMXzyCil7zDcGN0yosuCJ2PFyPqeVNWI15hNhqavE2b1r4u6a0g/oNfT/+Cmyanj0P8+4tp52JAgfz5itF6gdLK//wN4fBqqDgbC5onk+INaJq6pCfJQwjWLvfz6mT0sCEfRvuV85ahn5196APqeINX0/xsgDGjXmo3rH+cOe1dRh/rzFVxa04vfXSxZKs20sD/94yNWpZXFhEG5EzhuKXqP/rwWHInMQBPunh7xQLa9kS3NdI/MhiDnd3b9wkhNHWfLF/pRUDERN9XLDfRu53xT+svmMIW3I+Zrf+sD1vuD1sWJmH7J/s+Xg/Ip//hjm24p7lzVPK8dBtc+j0Qn//fgFbjWGV0dYwMw15kQzvP4Te77nQQycpUynFZ21iALTfKsU++q/zRjvFA+/gr/8bkvdRR4/gy/E7wkqoPVrvHxMSRZ84TMKQq5Z6hfEf9S4WNg8j6ijBhUV9rLgP52TLdA5PrMtaSf58qsZn6kTytTy7NPCx+dfMelarBOcu2O2ecJa7vHgdxcwbnntOj5dRMZdxq0K17+Z0WtFft4jnkQYJxignBvMbsSJf8Dko1cE0/MvfzlEfnJAfSB51JxS/2VA3gRSDsTjQjKQTqF8NEUcNIxVg3yZcVvPn6bn2M6ikqRMB+5uBHVn+ILHjD4VjPYSh///Feu4o8URRiP2J4HGZk5XFd6NiKmCMdy7u+V41rH3BWxcoY2SPfmY+FHEH3ncf1+zFjBo+Ng5Lk/g8vCWPLq7EhyvNZ/zGyp1zUhd0cqGg4PE/n7km6cVExeZhcSmHNJj6JUi/sMNiAAhkdtM2cwQmzniN+fUfaRZZiohaOIRI3+P59VzZOypvOdqVsjmCGkeUOrPoQChpt4mxn7EPOwjeI4lUEvJn/MT/KFBfFKI/7SkHgR7oqZuzugwXJUjRJiA3VL2XpIvpxD+unaYbRCTjDpSPP76NhbUla1w3EFFz8i9pFOfUBRYc8Gj2hNE5uuSqX1NoTCYgSY0EDV9b5CftDRCc+fpHSaiJ9SF53dGhAuD6B3T8pxQVcRKMEwdYvuIxmmexOes8hGDMLhmiZs7iirUi4r92iOxvF59xjw/Z8yaMYJIwQvBTVPj3JyURkhZkbMD65CfLjHXINpMZzue9JLDIMnAJmd2aG7qTyGClpEHnz1je6NoV5quMxwfDswmnsubGiOOkcxZdo6T+cCs8Xx5OoCdY+2I3/dfstCSG2VhuE8oichtVsQj1hyKDf/iP5BS6ueYPH8Iy8pPtd390KT7XRVHP9Z+8kNKkfe1Pn1o28+74seoS34O/ND9+zEWsvfBDxE+70IEfYg2/NgF8t+2/y3j37uofL7vmfg51JI/tHB+V1LopxAfP3RuH0IR9n3/v4mI/xBKmvchD/7299sUUj+F6HrTOPi2tv2Y+v4eeJdz/CVVUh8CH4p8/vZY867W0ncleD8k3jYf+Cl4cjInt5547ulnkBKUDO2m4IcJa2Y4euKoRx32HF2C9hmRPJvHmZQF8tQw2SaKAGRhlE9x0fN8SKi8QgWNdYbgaqocGeFY32h0SliXKPctvrcsrzVZOcqoEPYkfaroOmiXBtFuqXwCY4i6UGxC1j16m0lZEoxhkAGRPXfCEnHcULKlLByLe4VoOnLoCYcOgqa8PCA0S1AJbgyDvIcoiQJMWWHcgH4tufGZEgeMXREv9qA6wEwzZndNnxyX40J0gpIz1mwQNwUqRTgOyL5Fe41p99mazECgAYwIoDJiKsjbmpQscm9GWnt0XPA4w/V0SRcU9grGXqCyZff6hOAcKQfWV4XoZ6g4ps0GyhZpOs7+On0uCKpvDOOhpjGC6uSMXTvG9fvc7zUZx4UJFGAvTLBesSgtRiX0yNNSYDam2Al2uUWGCAXcWWDSR8YhMuRMmDvcNKI3BnpJERDvNcRJINaZQ1vY23jC0zWvj2A4zJT9wFEuDBvLbjUj3d1R1oKyO8CPLhGlYFaWpfJUJvJYwuuzG7oaymeeuzLjdoJVLLdZOtsa9eU9XuUFpY34L9f096/xPhCvNaEuVMPA5KJliyFOMuGgUK7vgobwYGBaVaRQCNXA6WlGqsRsbtjWK0oI+IXi8NLfqv9Czfoog9GM8wF612H8jnlW9HpLjyDECeVaMNI1czdi5RzRFMTDM/ZrR+MMTTzhabWgF5FXGFLqaUJPnRcEeR8fatpFQxpmwBh9f48YGqRL3FhPl6ekXqFf7+j6EcpJDvNTmleHcF2xK5lhJDGN4qPVlJttjxsiY85IOKCwx0vWe5KzKYSupaw0YpgyPygoGZF4XvWGUVrzSOxwdyvWqqEvhheXiSBqSIZqu8B6TSU1dx/XtIuWftNz9HKKjD3eB87cFE9gzI4CxMmaPGmhmiPWCbFO6LVmpjwT0XIaZ/gE3hfa41OCVgjmcOPAZrIv+OWSmxaWaY9wJtmVxJkN5MNA8gG3TuzNB2IcIO9Yi8foNrF/6nnRSfpJRXtcsbxM+CpRDiInLwo6FjYlk2LP0BhunlQ80uAY81wcUPQSoRJejShHAUyPUBuuXytqlZgfNdxwB5lgZnfs1YmQItejHnlWM5aZI7vEDPsoV3ggNiyyxTlBvNhwMTUs5lNk3FJergBP9ahh0W1Ru5YjEjelsJaGQ3GAPHNo4ZGDYxAnqNTw4LXgtNrRTeH8OnF8eYitBx48WqL0BLFpaJ/XhP0aDiPt5YrcS7KThN8WVFcQrzzXcYbxG4oKyMOHHKY1zS7wor3PsuyoR567J5e0DWy9Ion7GHFKIzPd7AHbuCTstjzykcvDxGaUGF/0dG3kZZL0LlJGEJvMN/mCvN1HbfZ4XBJOOvpb+pTGFY63sNpZ+gAXRqK4wmaDDQ8pLPA3matNwQ37FDEQbcuILc4KYi0QdU1ZzyhXBnG4QtUFPWx5cKlpQ8PSVbR4dKXR+x3DyDMaoNpaTlygcwMbbpiYu1B3xPEagaEvgT6vGRERM0G+ozl+fcWgDAsqxg9b8Jm1b9ksDCKNmMqaoBYUBkpnifc9yhWa88yWTHECc2FYA1VVuF95LvwSLy29fMTx8YZUMlc3DVcCqCNmLyAWIG8d+RweRpLJnIbA0VqivWJdPK1xyBLZu2rBT4goNpxQDnfkypO3GTUfSEmxO8tsS8BJQVKaUhWEzBSADkQJGHNOXw0MQrJaTdHGUyz4o332bnpM37I0FaVkpEg0rx3DZJ9wVFEtMlsJroZwGAmyImRN3rzGyNtYWLhMama3yVRYYdtMvYA97xnUCqc8Qhwi3AbyBrAodijRcvOgULrIvMvEsqRtErG5tURvVcCrt8+TfrFA53/DmxbuP9ZS8CHwtkX8m4iFtxE0P2Sv+xDn+2tZ2PySBNW7XuufC++r0PjQBN53VX7f10ff9fzflXz9ofr/hp97AflTFvbvQhR+e9839aFvk+AfijB62/8/F95GQv2YMn7qft/e/9dA4LxJ5fbtbe9T3s85Vn6Ie/pL48c+2z9mfPm5Sa03YaImBN/hdpnNfkEWiYkF1wtiMAyyJqmIqBOyTkxSQJVCVomrkUNsI2YFTbIEKXGAYUtIMDjBtESKB9kLMoq/8lbsvEBFRXISOcqIIonSIP46adWmkI3Gx8xGKKreU7Ij/jWbkJAFy0AyhZAlUVhcHTExY/xAVnMEChESqslkFZDbHWlkKMXAZkqebUAJQJCqCii3GYTkDUiPGCyDi4gSaXTLMIwQuSLNCiqDzIlWgZAJQUTJCK2gBIW6C2KIyAja79ObNU4kaiCKQpQFlKGIikKNVA2oFpF7KlchRQKVkBuFTgJdBHpniRkSgrDzuFihck2pBRIPdGwqgQoGGSVyyOikMEogpytSsJSh4sRbthacVlACJlZUqUaKjB51GO1JUdxmC2tG2Os1RSayzORdpoSCzpJQwVAX+johbhpEECA9wQqSVIQEh8KQo0D1Ae0LaRzxTU+9ysSukPqCpoOiKMkSZxGVJKrTRCIjMvMseL3piCYy7A/c2UKWEm8KZI8NhvrG4saSkDOuGzB4Ssq0O4FqDbYP2FVHYyucFgwGRFdDXUijgI2GlAKyGtgMGWvhYN/STgdy7+hWGdVpdNEoDMlIijaIboZ0HhUSYzw7EXCykJWkGgpV1tgwxgqNtA5j18yDpXEVKilqDUFlBgpGZnTJ2NLjiiMUQ4gaGRukKZT9EaUrJJfYjQWit+hoKOuW5DUqw5wtbA6IW4U0GXfXUhpD1TVIDyU4knSUEm9tQNWWrtJsKoGlw7cziqsY2whVJMmeZaqZxcy+S2zmGhcswVk2IwPJYpPGbHu0l2hhqOtCqgLFFOrVhEQi4FlTyAFMFPgalHIo06HUIboopC+YNlPZQGUdwghyUURRENUSdEMRNb0upBKxIUJw9ELfqreCIgCtjCidSSmwkz2q3GZQK6oj62NUlox3AU1GVIK8r/ALRdKeynq0FAggIqh7gawgjTJ1gBgU21IxEgu0lrh6gjK3/UbaLdFYghEwUyQ/pTiwIjKlxyNYK4XuoSZTFQ9bBaFQS8+ydAypIHZr3OEB0RpkV1HLiJQeMXPE1wExRCoFbSPwVjNlhtotqISHStKLGpHGTHcS2USiCbhqIAwakw3NgUNHR3aa660lPCiUKeycpFxVlKBIk4D6K1GYnSRWGTFOUI2oZc8oZ3S0uFKRVOH+pCOQCc4S0dTGok1NrhtSu6MESVUiepyR+5lqA0MyDL1mnVpUVWBaWIYOs51Sd4IiFYhb5VCPBR+p2oQeFKEogpDUtBhmiDxCoAkuER3k0uBtIleCWiWESmhdkKEm94a0axB7DolDK08dBUPReFlRvAIrQA9IXUALrBIIX+EzCFrqcJciI0wiRiicyHQiU+tCbATtXDC7adFSU2JCjQvJZLz0iDzDFI2VkSg9lIQMilJHjCo0jaQTErKk9vJ2HFaF2gaU94iiyOKAsd0QySQzY4dHiIysLJrbTHd4g1WQbEapglk3yEExCE/Rt7Gd9roOi8JLy7WukFbdZoCMEqEDRSV6wJFxJUGRVMXeZuYkkqKAUtBmw6AhiQqkwcqM0qC1wtYeW26D9eesUKXQbBJ+ashNg001joRTiVwVhJKIIpC7FiEsokjoCqUxlKpGyQw7SekMqkAxjqgzcEiKEDMIDKZ4quLwVcG6Ql0yHQNGQTEFJxJegZNvZ6V+cVIK3myh+SnWgp8TP7SY+C5B8B8B/1HO89eMn9rvfi1k5s+Nn3qeb7Ig/VTF2L9l/Ec97/8I+CWI/b/hP1I/Ov/LjFBG+BJw144j0XIkO15TkcQA9SnugaOIKWW4i3l8ikiJHDPx4iWmAzMIDu88ZtlHlusORiApVGvBMByQiiRSOLp7So6CbWdwR57STdldHXO4fk6dAlUtuFxX1IvCUQjAMT4rumy4X2rc2HN6cgqqYrLJnDzb8PJ+wdc1XE7J9zzFg9soxFMP1sN0hVh+xChETtYtpxziaW77k5pym64rYJ+8RpIoL+ecTwO5zsiRZ+qWNEEy72FtXuEyPDutOQyBvSyR60KobgiqYhj2ybmjCoUH6ylXh1f0+4XhizkcbdDa020LSyVxokYsZpigqVOiOn2FmTuKVXx5+gQAISJUF4RSEESOzDPW6T4hzZkO18SyJFQDh/84pz9NuB2E3wQmLw6p1xPO/svXhJctZSkoGGZhyXi4IiEY67s01QkXwwtuqEjMwI9pqgvqsqCsCkXlW/Jvsocbr3DNhvQy0cc9LsWcB591uFWgf5Xo+wO07rDmlN3THq81Tlua4ZD1HcHiTmH/X3ZwvCI/3NB+E+mrK8reNftfQImFIGBzLEkbzbCyPBAbtBAM3KY4N6Ew3RS2X1p8FjQWhukpEwmPncAcQWgsva1pru4Sdi3tcIH++gm98izqwGMPfg1nvQDOSBn8jaS5GuNMZjgabh8MvSPWC6jHtLLm6+kOsZljcsUMxfj1igrPXAbW9i4ecHS4cBc5HTj55Azz3OG6imfGMjlomJSBO5+vMeIRQxE8jZ9zkJ9wgiLwnO2Thzhp2W0X9HlLsj3y4Yh764aRDLSHn3N9ccQw1Ij/c8bDVwK7Eny9+5h5ecqULSfqmCtqcoHH3rHmHm29zz89HKg2U2RX+EvtMXmJMgNXH00xly2jq8xvx495VjmWOjG9OiR8csZwsoW9e1SnltHlHu3/XTj4RjO71rz6/7SErwfyS4l+CVIJohR8/vke8xPF6CPFl09HHD1J7D1s2fbPEOcKfXmbQfNoAYeLQveba0b1PvXenNn2Getp5nwu2K8uqGpBtoKHT8esh8zKLfhzP+ag9nw8bbn5zR49nhi2EArqekp1dsD8eU97d80X/8eOEp9Q5I5czhHTL5FbqC4EH+8XzBhGXjLd7aEXmv0L+OaoprGCB+vCw68fom2HHJ3xr4PB+ZZJ+pyHQSPnY4bfVtT/tMN2A5WAdWVZV4mv6eB1Qg6JxBKfHA0N/+CekH97yib1/PlF5iN1CkJxJSpguM0tGhpO5Jaxq5n85SO60rKtAjeLFZ8NI5SveEHP/JGCMuLZ5YSP5Y5qDIs/HFH6ltRvcDNLVgpjMvc/fs70SpA6wctXlma4gWrH+h8OwV4gaBFPBEkcwMpS/fkcAIPkHgkxkoSR4Jv1Nbv2NnD8k73nnLcndP0R6eKcEwImecj/TLl7D7f3kNxfcGx27DeBL7AEnaDx5P/jIXunBn1duKy/JowCaZywV4Z7+zfs37nmi+eGnAUFxbNyl3p3jd0tKCMgTpFxwmPxlDZfsCmXXI8foOuEtZHqUhBHieHQczo+Yn7V8+hsSzpf0OkNO1NhX9wnqZZol3zxO0+OHnYt4vkepUuUNpDECCM8M+X4Mx+TTM9IL5i6niF7+ggPCWzNhJf2Did3drTKsV07nu7dkuZcenbyCcpF6u2SgzzF1QNXB9/A5ZPbWIP2Bv1aYyZj1B+OaZ6fYqXn5ASq5TEDhrMmsVuukE6wJxz69Yw0k6h/bHBnS0gg3AmHwyUEyUI84OxmhVCBCrjwM5BQVWvi6A4BQeKMB6GjMjvE/YI9O0YOM0q9hMtbS1vXNMShQIqwgeO4T6UFF1ywMQaRM7bvie4hyAZbnwJgfeb+s9ecPYGrexLzDYQwJiWFpUWWQkmSoT/A2g1V6Tj8qtCIAaTkua1x3jBEAV2PPRI0E0G+EnRuxlAaVkjUbImadeTtjlWcshP7CKk4yBcc9hvC1xCLwqO5Kpq77YiP+xFfGc0Qe2Lo3jpP+sVIqff5gvs+cW7epa6fut+b6vu+mFjft1h9F5vfm9r4U20UP/QF+tcYA+pteJNK4UNb4/6GD2VZ+6kWqHfd99t4l/74c9saf6g9H7Jfv60db/r9+56Pd7XAvcnu977t+KE6fgzexxr4tv79tnv2c6qafi7i4n2Ufj9XvX8P/JKk0/fhfce0d7Xfvmks+LHk/Yd83+1NJOuqx5k19y4ScVZxPj8iX7eYHLAlc3Bxwq4otiXiTwquH7PbTJn789vA48D5SBNFonYRIaBKmiZq2rwgiDGIPXbrO2QLaSrJnEOOUBybvqEvmopM8iNENhgsl3pLT6Am4kYDjDMHI0F3A7kdsWRMXHQUFRH7S8RWUFKBcYtJCV2D3WsYrxIlZtbWIumweECyt+4QVaF70pE3GYpC7Sdsr0lAmiSMMhgPcdvSzTK9hKQGejJ10czFnC4WBhQOiTz25JHneuzwywmqqxjlHqcSSgsmUrCNGV8CVjm6GHES/NEeDFtoIzlvgAohFCEc0MsNWfXMYkA2S5LqWG8ekA92lFmPEgcEGclloP4qE/yGKBz6lWK5m7FJhnK9RQ1jtJaIJ2tUWVNiD0OB+QphthycZyo5IDTUGcR2gwo98/sQYsOwvM9idMo89uylQpP2acKOaRh4gSapgjeO/blg6wXDUDg/WpKyQp1pNnl6qwx5rZFljKw2TGZLtrWiDBPyMIX6HJMa1N4B2/WGkW0YHxwhV46QWnau42EJCDFhLfYZja7IMnHWF2Lw1Dkw2+5YLAeUj4yF4PreGc5kyIHrG01OAoHgpJ7iReJ61xHTiKgUpCWmN4hcs5NzdHVDEzx1K7iZbEkysYvHNFkQs6fPNwyhJuvE1X6L8kAxLF4cY/0NyURKc47cQVCKFx/dpSxvMDlyMmlYxiU5Sg7bGe4m0VUB8fsJ+rxFu4w4nbLNWzqZGL54DEPL2Ow4YMqQOjZ05GPBaB0ZD5m2rJFHPdJoTk/v4ERDiIXyKnEYN0xSzyJEzMSjKvAvIvQBFR1DOifVU4QewUTTLvbZ7cZwMOZ6dE2n1gzfGJrVgA4C9U0h7RqKrXmuPPI4sT9PXEaF3GwxZzseJMP4ssbsHmLEBXkoFKmI+3dYmBWtXhPDPWSr0JtCHWfYNuBLpNyfsd162m7AHTn8QuE3mnnZkrzk9XZMjBPsbsfhZcey3AenKQWuypS4svDlmHv5ht5qFs1jqssWoQaGBz25gbWpOZNT7imJaiSM4M6dCJuIW0Ze6WtSNuTdXUbVNfagop2fcNpfoaLEfFGxOPQ0h3ASBIttoh0sZXFALlvyxCGOIuFVJjjBLlv2XzfEUlN1M2RsMWQOEezyGj9K+AeSrhoTes1SX7FvHaZWiGrGxfGKevDcPYuo5xEvM1qfsqy3KK3w39zlMG0QdLywHbPtjLkwXB3us/L2Nli02tDte7JKpG8a5OMGU1ccf5mIORBkYdWcQJOQJWHPLgmtJ7uCrQztbEKYG+5cwSRqlDZc302wUqjBMPlsRL3pkBc7Do89aRtYbsGlEdkPiNaxPW0ZO8c4RISbYssOJQfGaUKVHVF64seJSSpMgsA/vaA6SNhZA6eRxcSzHnlWpxWtrNkpydwvmMjCWELLgJAeKWHpNgSTuDgCs7H4XONDw+GjK3qdGYRBvJxjQkGmyNHDHbutZnFtmJYtdl/h7sw4+gb6pGnziNX+gpgNYfWAlxNPjgUzXLIYArFIzKDR4RAzctSHS25OJY2Hk+xpyzXOVYjlA0qSkAdMduzLY+wW5ItTWh9xI8WZrTgZNEF42vk1+5WnqmFy2HPDjEjiaHXGYmvRoXC3W9Ii8FYg2IJMZKOJ+w2IDuEjLGE6vqEUxXa1x7XaYqXjfhfZiQ7fSMJhoGxnCC8xdFib/poBcI/VvqKuE3dbTdg6vIisHgtGNwvUoOmAmCYMQnJzdMF0C5NN5mzkSXFAxJokH1DsgBifw8NM7cfYeMClfM2dIBglgXOaVNWIkWLtBnzjSOPMgfOkdUXIEX13i7URGxX36oGVd+wiHMuBPB+4HAvStSZUhWAT5bpmJQ1ewXF0pJyJwrx1nvR3UUrBu5E07xJv5H2tVB8Kb5rYv4mAeNdtH7Jtv2ZFx7vc4/c99rvl/FxE1Yco68fY5t51+08hwN5UzvsQbG9b7P897TTfxruc0w+Rax+KGPu57I7vu/3HEDQ/x/jyoZ/bd/2Q8bb7+fe2D78J7xLX7u9xL38Ib7PFf99+P8U2+2377S8NZQJy5JBNT30NG9OwrRsmeof1GZMS9a5mEJEiHd4Leq9pQ8V+sIgcyCS2JSPJWFmIaERRmCJR0nGb8yuTnEVoMBZKEpQEhYQPmqQEyRYK6tZeJ0b0rIki0MhC0AEhBDppzKaQgqKvZmSXwXSUxmNae5uNTGekBW0VlTTUKRFSZiVv02tLEZAqMR5uLQ/hwDOsGko2iD2FCDWiBAodWoAqheISAUmQIIlEIQlCYWiQOaAAi0RYoEr0MpC7KWanGNOTg0RgqERApoIsiZEfSNkTtAI9JxV5+7Vb3FqOJAYRFRhJlpIsBDQBrMCHA/K0h1kklEgSEUFC7iCqgSISalXTU5GMxu4kImqkUvh9Qe4CtBkQoCOyCkwZKPk2rpjKAuE8ug+M0AxhROorxNRQm8Rs6Mn9PtIDSVCpSBQRISJyoqFX5Gzop1tUa9Aric8a6SrUuiarOUYWagZuakkWY2COiCt0qRmZEUMtMFaj5AgrAyFDHAraZqQU5MqgaICAl5GNj4xKoQqJNg7YoqhExdB0BF0gQisNMoHNASss5IQdBnIx5JIQQaAGBVGTssWYiMmJ2lvMYcGphHeZxhdSTuxoiSVTZGIwG6apIMKIoTsiaUU2AaUHCIFARTs6IO2WjLLjwaThfBgIQbDPjNQFsswwalBGIPuC2AjieCCWjL+6izE7rPWMusiV87SpIG1ES1BCMshCsS2yUgz6CSkXShiwQ2CSWqa5ZYemsQljwV8FYklkMl0OZBmRJIIO5E7BroKRYiCS1IDfFYQXVFmgr2+tsEkaOmFpdMKMJMJGct+R+g0zI5DhDnE7Q2tLjplSJLkZM1Q9XkvUoiZ6SDHySBp0zOguo0RNCOpWAXgYAIlKigaHSzW9q4mdwm4EzbKwljWIQlI9MSmSt7CtGPmBPJkgqhlqFynThJtFIomuKJaD5h4SIyEbxdxmok14G1npHa6MSGnEA13QjcDMGroiEC1UraDdgywFSSg6E/EZqm2NF9cUO1CaTIyW7CwbqZmsDEUKlGyIJiJKQFNus3bWGbFX4eIY58CLNXPlkLJC5IpeJ1CB/WxQ6wIiUZkVSXsiDX5pmZsCxrMaFeabGpsVfjRmiBpZMlU1MFSClIHVAIcNIivstkePM8pETBgRjCXhCfSUmCGDEJqyl0k2U04rVJEYUWiVhlKQWcFojFwsqXcto/u37zgfJKJukMEjtgPipgPZgQjYfAxBIoKkTjUlZJyPqKmnlpJRFCjZYqzGNBpZEspEcuNopcIJSZKCSmyppLrN4iZadCmoBMZ7vBSEqSa2FSlbSlGI+jbuUZYa/bJChowWhdk9R3aZNQojAC1xjaJSkVRg0DVDtSY5QwpzNmqDzh6TPS1AANsJtJ9SG8XUrOhSoUpgiiboRC6Cqh9TSkJSKCVis8KGiMgbqBq81fRKchACSThiatFWUStJ1US6Ajkm9vstxs0wXlJ7//9mjKQkAIqCPJEY4ZBDRN1ojOjIGHKc0ksJCOZF0IpMkpCMBqFQKHTWZJkQopCzoq8ipYmcDAIoJFGIjcKqASMEbT1BuRqQbK2iXhUqX9DzRFaeoiTCTpBiiyw7Si2wakzlNZsIoUi8UMQIUkmk0QxJESmQA8oksimIBLIOiCiQQTLWnm0sZJGoREenJV1lyRXkUSbVBX1TcDrjbWLf9WgFWvJW/N1IqffBzxW35N8SPlQMm1+D0uk/8W8T/56frx+LX2uMt//Ef+LfOv69vatOh1NME5kquKoq/Aq4cTy86+hLYtUVNs0FfhIp48DypiFNO8qnW26e32XmWvbDivBsjaZQCcVVfcJG9QxqCVhsHNgLX1PXAquhyoKna8vgKzyaOnvKvCbcOwD1glB2uDRQniYamTicBc5uKoa1xbmaQ27QM0/3EDhPlE7CxZRDGYmioeeQ8GlEBLDfSC6rS2IROLcPVKjaU8+vkNeWvIFhKDh/l5Ib2P2VwK07SvcCYzdU+jYDqRxNqBAcbFe0VcVKGc6HQF11NFLzkTtAXuzjZcOZ3TDoc8Qoc9Qq2tcPiGgsz5GALYWPvOfUGFpg/NUL+nuSeCRpCszdljoVoIMAUcCrTwRVdchY1ejj53T5mFBmMDyHFMkG2kcKfS3QGwX+HuLBJUyvGP50QNQ7oul5ESBfHyKuJ1TVBdwcINKYmfiKdpPoN4Vc1/hgKEnz5KsRi3rNeX2FrO5QqpbQ79g+e8E6j+nEjD/MXoHL+J3kLweFNJ4g5oeIeiC5EcnNmfOSWZwxz1M2exEx7KG+PmCRW5gCs0j54gnTJLgvC5//QRHWEfnFkgfVJS5FhhtoH0I/3iBGLbv/+YSjIfFEbPhyC20UfOUU+79pGYYx52d3qV6fIUWgIPDuHrPS84jXfDFkQLPPlEIBD/Xm1lpmckvtFoSh4BnRy7vUU4XWju3yFUebRFKwPBkgztF9ZnxW2JMSqxO6uUEPPSEpbrjHanZOKp7qm3MMYKShv+nQgyVVgpsnK+w2I3ea9f84IIoGiaYC5vcjxgTW/7pB54RoI6v/8YIde0QmTPs9Ut7RKUGcfYS4PEMWx/2Tiuhegt9S/eYA+zrQ7Szns9/xaPySiV6Q7ZK1MOzKFB8+oWpfUO++4WI04lGOfJQF//3yHiPnmQh49Q+BxdlD1NURJ67F5Q25LHmsjzh72fD6QsJ/+5zNNLK5C64q9PU1zm44cCeUy0RaJHrvGLnCLGgON99wZQ65OtrHNh155ag3kTt5x2oyZzAnpH8d2EsdB6KjBw6oecCcP/1pQaAniIKxr3E6MijHH1vNZg9e3REsnu/ju5qycaRqi9OWdbrP7vUVYhgYuy3/Ij5iXwQ+GdbU+YBYK/qPHa8WA54BYZe8NLA/eD7+U8e6T+wOJDf/dYP+yxrbemyIxN9qar/lydMlV3cNfZL0f7YU9wgha2YoRh78dIv7+JzX4a8DsQE0VGrKkf6YxRcav3akFMi+IISF6ymTJADLl+Ijfic809KT3RnagReCF8Crh1DGAnaFa5bUfcfd04/Z2GvypDD9+BPyM/CbAdM8wz8fMVSC5//1BhtmNB387unXPG/vsiwj/pymfDTzjOrCYGseiWvmHnZ8SlvWuH7F5J+ecMwFlej4l8WIih21BVHDWAtMpeG/HZC+6ZHfbDg6uOEmaF54xSf2nOuFZrWyZDXhpou43PPIF/K9Cf3hhMtqgbwakKe3Gf3YBcwu0FuoQ2AaA+G/Ss52E/rVlLpaELwjXHtGYcTRfs3BQc2fwgzYYe2aV1/eo+xvEMc3SBtACjIF91VC5sCUjo38DHezI16f0dY77PGc+ckhm2cbMhViT2PXW3QcodLHtHtfYXc948ueIAsiFNQm89EDx3pb85fTJ9j7lmnoOb66Rotj1tbyfCQIfsGoKuzvgxtPiCojWGC4QQ0Se2q5OrhHGyyPPi/ovKUfe84eC+7cbMi+4fNyj6osoUi8P8HaS6CHfMmdTcG0hW0f6M9rEpKGHdZ3CBNY3JW0X08ImxFiW2HtFZXwHLo7rOwNgxyoqnO8d7hYeLGuQSgoCvsKpPMUq/C/ucuTLlJ1kT+dH3DOQCM9n9x4XtUd/UHL+O6asEiwgBhGNIcLpuPE8aXk5XTKq8YCl4zWBrvUuBrKWc3/w95/NtlyXF2a4OMyxFGprwYIgKpqqrrGrP//XxjrLqt6SYIEAVyVN+WRoVzt+ZBgF4dDQhMAWVjfMi3CI467h4vle60di+PlasOsqfDtivDZjDEf2NPTtxPKQmXhFk/cHJHWM3jxKY2uWJQKzxWHo4bDWc2f1mv0HNT8q1mpfwlS6m9Pn/9edMIPuRn8NvKeb7vA/jYn71927VdJdP7edf/qm4OfgmHyP+v530c7fVUEyFdF13wbk+Fviu/Sht/kG/qqaLEvi0L5saI2v2/87Xj1baXHf3vvP2N8+XvlfN1osG/bp77s3X8Kkri/tN/3IXH/Z+GbfGd/L0Lx75X3t/Py3/q/fZt3+77nvmnbMB48unQscNSq5d38mFxG8hgQBfMB6lFxMxgQhU8KO63J2XLLKRUH8rywWynMTY+4kdBOXCSFaQvKKO63j2nGieO8hgKekRkjrUSGzrF+o3DaEtrE1aojhzlDKrwdJ8a4JGdBZGLyjtolLrgkNxMhZw5DYe8cRU147rBXI0oUwXkmN1CyAzQs7igqM97X3BMQbQhhiazWVHLLxUZxdQ7ozPFNpvY1KkNWPSe3A8UrzCOF20Zy0CjVEBMYlRDecn+RKcbw9OqClDJZRa7chsyeUhyfx1PimQFXuFyP+LLAFssNFaqL2AShXtIxMsVMiKeccaAuEXfnmIvDY9kZSx33NOXA4C2280iy5KslqU/knFDP3uEnR7M7RbMlnCRulwp7Zcm+I783EE3A397ht1veVYZGapZYhmlHPkqkpeGVDZjtxNO9QlHjm0B6DJsN0GcWY+QmWgShWEW+tjS1o22FTQNGO7yqsQIOhVfgeUu3EA6nBvV6gZ0i6jCijKan4WWZwZVljIVL3zE+FnJRpBH0zTF5EDhLPH5Swzjy5z6RykQ9b5i3R5xv58goTOy5Uo7JG6gLZrdGx0BKQi33BCo2tCgGdB7xY6BWRxRVGCsoImQtTOYaN2raojndtehkGDWQC8e7hImJsaq4Sw1GNF4C+bTgtOd4nDOFmqkIIJzVK4yC2+meIZ5jxXC+vuN6O6eMlmcqgz1AbUiPFvTpESlOhBdbnsiIC4o3Nx+ylDXGrulPBrbVgHaKqh5p38ywo4fmHYd1QxwWXIw1ohpYRWTxkm3fEsYXTOodXbKEorD2Ekwg4QGBU6ASeN1zOMqElaFWC470gdpPXB89Je6F0lk+k0LUGyyZ9KdnlPGACge8SYTHc1g2OLtmamCyGrmtiTpzsML4AoZOI3vDfVTEyhKead7oHlKkLlvEacxxguPAPjbstxq7mXj2XkZ1LXJ/RIzCLCuOjOLdCiY14q97lmHJwWZ2izVMhTQGhpst51NE50LWir1P7Lznk/aCZ3rJaCauPaS6wkwB23U8bh5hguEmZEx5h+yE9HFCVCDXBaMr5LKl0/D5UcK6nqIL0VVsrwpOZ9rTwnodKMZxxPuYzSU5jfQOYjgjGM96ecWZWVDazG0YuVNCJRPvpc/Zu4xY4cX8krFkDrFwv204VRNKBax7C+uETJZ0lJjqhpwt4t6SpSBR0b99i9Jg54VpXyOtILNCCStm14Gq73l5Bma95iTt2fw6sd1CPyp8DKwlc/Aa954w3raEriHhkeMjqsrz6N0lS0bqpMh/dmw6x1Ac4bCmqBGphT5nQlyR44KXUrBmx4Ie5C35KDLNIm/eZeauozaJyVkwHoVB+nOMHjC2Ry1OsG6HNzu6d45sJ5hlwuaYUgJKTRzJEbkorpRwZK6IyRDSAvWeRmeDubXUQyDUMM3hfuNIsWakwbotpR3YzzVsBHU4YMeRVB1jYmK2e8kyD4x1ZL0MlKslYVyy10J5fEskErcOrXtygDmefLhlzMK1NMjjG6ackM2MKEcMJaPUmrSzWCKzXFgXi9ae1TSju71DKbhxjnE1kJRB3j6hjncUGyjVNelsRZUNF2/vOcSKcqiZvVH4CC4HGnVLjpFJYKDFsUClSL7ZY6VHbCJGT1qCtQp/d8U8j/ikmdQ5Sd+S3YQgpDiDAq2sORwXstekT7ZcryacTlRKM2st3lhuN0Khwk6K2+tMb6G0itObY9Tdhr2PdGeKKU5UU8YeK9quw5qRw5OI2nT4Q0XqnxP0SPZvWJRCtJC0JsZzjOnQriM+SszvhXqnuN866pyoSmJzJg85cO9WqFnCHUbcTfjKNdJPjpT6ewvJL5PI/ZD4Mu+Yv8XXWVx/1TN+CHwXwuzHwtfxLfqya39K+KbEzt/e931f+23wbUlQ+Od6bH3Zs75NnXwTOdGP3e++Lw+0H+Lebyoz/ibf+j8q86/HvS+TUX4Vfux2/lt8kznqp4C//ab+Hrn2beXJ/4iw/Nsyf8j5L0+WnCtcc8BqoQHudI1o0FqhyFRRsYyKa1EwGZQobO4JzJh0hS/7B4+SGqoyECUSzEP2N2U1qVaEdYNOMBSPUeB1pPYRJ544gYrxIQtf0oxVwWtHKULoM8o7lElUJZKMQ0hUcU9Bo7QQVGQ0FjEJbRN6FxEFqY5kJxSl0Cojfk8RRemP6UwGLKV4ir9Bq5HGa3SlUQWOOkjiCVpIFbghQoK0AESjsgXlEImIilDt6ReAaXh+PSPmzKgmtm6LSAAl9CxgrlF1pu8Mq2wxxRF0TZUeDOLzvGKSRFAQUk1SI46M6jwmgpFCdgaXI1YKebSUaBHx6KEmhxEh4ZodVX+M72qUy+wrzegt1RbK6cPmLQPaPsi/xrrG5xofPVXuSBbirLAzE6udMJssSvzDafhCM/lMkwsViX1RgAat0AeDT0Irge3k0OKwziJKUTIUKWg3EqvEvhKsmqNzQk89giYCoRjMXlFMZqwnpkqTkiJGQY0Oo4SqhrqFTsNdUNQRagvtTONuPCoEjB5AaYq2YMBWHaIyAYtTgVQMh2Qe5DOSmKdIrRXJGsZak6MmmUxqDuiiqEPF8bBiaz3BKFQS6rGDVDj4mmAesjhWMhEraJTmbHTUoYKS0URqHrKK9boGqXDR0O5nqGGFipqV2pPsRPIKZoXhzhMyxJMdZIU2HtwpddpgVc/kesa5InuPyIivH2Q3hXsGOWEqNdOkYeYodQGzYUotOTRM4sjZoopGNXtKMajSPGTYdJpYA0nI3hBbTxU889wxNz2fHz1HRYMaDQdb8Lan1oHp9giRgPCQ7U1Hj9IWo0fEWVLt8fsJ4xKihcORQgXBByE4R5or0qqwCZF5HJhPHVHXqJlCTjVlb5l6TZbMWSMghjg0EAOuWNriubGaHC26F5TSqCrB7MFbrmRBHxSNAaU0UwRtEtnV9NWSEAxTMgzJgavQUWHDxMotiNmyTxGPJ08FexPhJCFGEYzBDZbkNN3c0qoO0YLTMFURcYr5QjP1CdEWN85xSVMilKTQhznJKobqCq81xgp9CoxKgQiPOLB3Cqlg6SfWJdChmKQheIWxCV1tYHBIqXHnEbEVYiHbPaU0lGLIm5FqIVivGLNFm4i2Cps8dj+husz2SHFuI57IfgnDzjGGhzE7m0JG4Y4mcB7RhlhpxrpBPByrG5SGpBW5U3TJclCOaj+RExRj6VOiFEdRM9ZKccZAK4lJ7cm1Ii0g3Ai2RGwUsmso2qKURacKVyacQDIt0o5Irch/1sgso+eJ4k6Q+GDC7cQzSuGgIhd1TxgaiDXTMqK7gt1q6hxQSkheEauGSEMoMypzRfaZ3HqqrXoYU/oOTk9wZWIxbqhqRagSuZnQ1y/QxVJqIdZbciqUzlMI+KiZUdMNe5Iy7Ks5LA4wCX5dU7QjiqIfLMYYfMrMBqGvNApDWyxmvCPqwt63xFmGYvHbGqc0yQiYgFQWlRWV7whxQY5fZOlUkEUjOCAjupB0IZcGnT1pN6LlIXNlIJEbizhBH/a4XiB7UJYpP2ToM0UI2UDWODQHawjW4N9FohuIdUKXBqcV1moOtUJhMSimvhBXFuUMs+zoR02fYb3y2CzYGGhQ1ExoBVKZhwhUXTioGakMlNQxMwlxjmJq0jBHdAAF2me8TbRE+l5hY0ZLYjxT6E7hOk2eOcwYseuvXiP95Eipnyq+aoH8967/a/yzPGJ+xs/4Lvh371ff14bz25K3/+71+zN+mvguXmc/Fr6M3P17PonftewfA9YOWNczLAbWIdENPfNXC4ZY04eGprkHQClo6sSka0ZVoxpAChVbNsMFi13Hk92aWm05JMPdruHVuECsRlXCB/klvSx5GX/JB/wJd5SRJ5pP//ScnAOVfscwemRcoe/mTB/1mBBobgLh+WuWQXh+DR8Pj9imwjjuGccjlMpU7Q6A0kJ8JIx/eoSkgLgrdPM+NoOPdwwxIt6jnjvCZYVOkaq6ZOhGDo3w8QeQP1swHyyVKrx5Aof5g8am/aNg9wKfQWeekHQLEvC+o54F6l+06DCRQ4aTnut+w5RGTsvIPqygGF7ot3xmHjF4z+mp5ra+ozegywx1UzAB2lni0DSElKllzVrgTjWM6pR7t8PKQ4a4eLIEazh9fcXOF6JPPD++53AvxE54/sYw1mvG8x337RPirUNeF6ryKUkK+fDQ/mPyqJnjgw/g3aXj3fWM/2wWvL0Z6K5GliT2UrhGYYPG3lnsxrMYevyTiPkgMbxK2ODx2XHCDj9uUZNBNr9kWhqmZxm1MoSbxHQ54J9+RLo9kH+3QdkVygLsmKYj5tJxwp+5k5r5onB+kRh+v2QzKa6loN6/5Xi0vPis5T+eXDENFdydMxSLWg80l5/yu0VBNZYq1WiB+tDC+pTwwZ6DdZRwhlkl9N6hPl0Ae5CIAF7dUdXgzuHNqwXBGeyzwGmEep+YuOPqqWVCU19rdtGTS804ztC/3qNVRL1SuFuHFMPVNLDkiFMqKvWa6/ENQ1OhP3rO+efvqDpNt/4Vs1WGNlPua95axSEF+L9vea62uErz0v+SlwhNgd8eF67XhX4SnlxqrpOwt5H16x3Db0bs8wy/t4TTa8qTwquZo+wiqitUb2vM+Ts4geGPx5yJo7GK1yuN2q6wQ8sZgf1rxR0KpeBsV5hPibfDO8YYsBpkfsNFf+A4jRw+OKMumWrs6f70e24Xwr61uOvfotMNcniDXy/o6hPKe3P+0x9+T6kSsYW7BMt4YJkKm4+eMNqOoezZ/vGEJu85VTsOFaR4wnQ449kfXrOOhmvx/OH3huNnB87/3/es3iT6bc3vNzN+cfOYnhNu9QmfPPkPlF+g3HMmfs/80HK0vWDzX0dCN9K/OWDYcdEp3tsd0Zc/YJj4hYJPP4JcG9g59rLDFlgReMUpjoHn3MAaJmP4XZX5xfNb3FQR3p7w6TlUOfKb+8yffh2JVcMQjnk8D4zdwJ/+4xXuvyVmvuLJdY03LX2T+OxZ4O3H98xH+DBGXjoHNCguiMeviSjGd7+mcy+BA78yHTfPYL8ATCB++hgb5zyjoOQVEkdKf8bN0Yrga9TG8SxBZUdi8xluN+JH4eis4VZW9PEI//ae5mxO5S3u9xvG0aEKHM+2LPaOeqNg+yn30yN2dkX3m8LZa8XineMzXzEtIc8EvQrYq8J8nfjgswtGmRMlMtNvuZzB3SKDqmknwzIZ/u9lg5iAHiKrLcTOcHtn4WKPYgnMUL/4jKPXhZM3ij9cFvrHgqqhAszeYHoIv31NGQtyEG5uO7IriMk0Hx6xup5Q7674H5uMrhX1c8XZnxQmK2TUHI7PWe8K/XBgcD1qXKLfPELkEusz9RzmN5/QiuLUan7/S8i9oXrrWKQD9XGgftHx6e+fULxBXWQCVzSHDY/HLW/GRH+kmN7b82QS6gr8rzo+jQfiYFBrz/MnHjeCvITjEOhN5rJO9C5TkkF1Hj2eMpsHnv/2M7gW4qFF75/iXt2Q2pHXHwY+eDuiR80b7bkESnGM0xM42UE1AXd0d++hwgq6E5y7QjUD5skE6cGWqhxBiEJJEyfqc9K9Y1KWxTgSxVJoWKhfMFyDN8KvTjJpExhD4VNZ4IceW028/1HgWgdGgSd7uLVHjMWj1Sv2y8KmcqirD4jzd0izYfkp1KJAK/znnvO4otUNH//6Gt46yv0p9+fXoBPISDWCBkyCi98XOrvlyndcjCOjCAcNAiziLYvDHXe5RhSEpvnqNdJ3X2Z9P/i6hqc/Jv7Z0QM/9O/8tvKGHwNfx5z3xzYZ/jr4RxE233az9W3u+SYys5+C+fi3wT9buvRdpYDfxGz66/yWr9v3v2+y/Os88+te90N7B/4zx4kfSzL897Ik/pTky98W3ySa7ZtGCf5QdXIWAnvm7HULfsKlTC0TUQxojfcPZqaD1mTnOE6JA5otLeeimczITg+gMtIKZam5vrlgagLpZM953hFHQ9dbNvNzgi9Qv8VeZeKo2N5YYuzwbWBxGli8SYQSGWzg7HoiVYndRebs7hSZ4NU0oeyI9pGpnTDS4VShagPtfoWKQi4DNzxsMo4Hxf3RPcbDWQm8sxCSRd81cHaLKgE2wNDgJ8f5OGcjA96OUCJlVyi9hmFJzhM4QaKnlR5cx3gS0H1BBY3+fEZ1vGJA8fk2MJxExGR2t57oMlZrUv2EcqjIfWEXCmGzQJTG2xE9FUq2dNcNGY0ricfhln4phNbgqoGySeQOQjCcb2uW1uGXmn1aEFLF7vYNfVwRmPEyaFzaoHRPDntEF2QppO0Zs3hgXgYOzqPFkNG8fnVCdiPV02ve3TkOQaGBU9VzrxpGakp7SdQTRQWermaMs8RQEu/ZhkPrOXjH9LZATKgiPFoVRCLcjJRtxowjVmXuc48sG1YfnnJ4dY+PB45K4NYdqJqAn2lSOGJTRobbDWYFky4YE1lsHGoSbtIBvauxSZNoUE9GItODd/P4BMmGWArRH4ACEnh6KwQ7cWevqUeHBIP3PWHRk6Om3zxlK7fUY6K+UZw2A30t7Ee4rmtaL6xkwmwVXoR2mlg2GaUyQ7DU1xlFRkLg+hFMYomXhWz3GJsp7WNSvyV7CCZya0/QRlPSAb3codrM4bRldq2ZdYqODe7Eo3yN3CWWCJWPvHx6ie4HXFRYB0ezFl8bLmNPVhkd4Ow0sguadG04JrEvmlEb0vPEal9oN0Jld4R8zMZWLM56UspIPLCXTMorRFqeKRh14J3PhFVhfzgmjTX1n29pQqISxStjUWqGs5oLtcU6g8wM1+9dMQ6Z/PmMPvQEW5ON550xUBS5V3SfnTMOsM1wPngcHT4FRiv0eN6Ux2S2qO2WqTtQP5+Qbone1thyz7RXvPtTxfy8cFwSp0PHgWtkrjg+KnTNCg4Fff0SmxNNO+A/uGFzeUKeakw6YihrNioi5h1jOUbmA/p8i747pS6JZb3nEPYPps7HE8fbDpMzCaiVwkiNjufcqEtylcirnnR2RJ0jIjtKDNjgOOksN17IVeLxqmebM/QGt9esH10z1Bo7PWLe3mMyfL6+4FBHXFXY23ekZkkxjv6XO46KQvUNhzdz6tsKu8ts/RqO78l+y00WLAnjNHa+wy0FcTOm5Qn36wdPJoBRrQjRYS9rlgvLcpbZvJvYlEIxmmkxYZSgimd7/ox0q3BjYjy9Jt9lyjhiLzs2JrM/yUgHEiJFCr63lFIY2sDLUZF1BpvJM0suI25cE+KcW1dxcBfYfsdsWNFS0apb1n7J3s14cvuSXgd6o1CTIe4Mh6K54IrdutCNNfPjSN0tsN2cz69eUzfCbKFZ1omdgfukeb3Z4XuFc5bjxsGQkE3iVWxYFeHkUNjHLVOoMXqOHSuUTqDX5NkpO39g8vek3Qt0GujyPfrKkZ0lnFl2oaOrDDYfcT4biblw2BSkyQxFcekdUzGIUvhO0W5OyNlyqSEVED0wzdbc3GpmWXM2V6yPFSkWljcTywRSCfFZj3UZNQl3e8fysEIlg3drcjuAybhbx+20wiSh5Z79AjIZL5qTHkw07I+gUndk6bmXI4KZMHZi7hR9VyiDkDphEkfxipwSwUSSfrBB8y4R9cSWNQIoJVwHoehCsh5ijVcdNieubh06J9oi3OKoZWROZHP6hJz3uDCRji85qisa9ZitW5NSjVU18aRlNB3W3PGIiZEVk1QcApAW6DLDP3mL2o1wiEw8YcyZkAOakfZoRr1ocfeOEnu6qudkEZkGYeq+eq31kyGl/oJvusn6V8KP9Vu+SUaxr3PPD40ferP6TZ/zbbPQfReJ1TeRgn6XbGE/hLzzx5LSfBN832Th32v7LyMsf0zp779C+/wU8UOTUV/1zH+nuRS+fHz7R/Xxj+wBvsqH6vuou0qEDkumphKFl4wvhcSEsgptgKgIaAKwypGJglGKuVjAPJidmoTyGdUoDroh24KqCpUUVBGGITOYI8R3mGZDUoYQDONOgYxok3C1YKqIyoWgCk0XmZTAMdTvasZJ2JaMn4/gEkkLjZnQuqBswmqFVmCzYMh44CjWbPOEVoK3glEWXRwcLDzJoBLSKcxU4SfPbKromgP4wBQL0ke0WGw3Q3sBC6k4ahkwKqKqRBw9MhnKoDBtDVpxH3cYV9BO6MWDy2A1QzsnT5EyZvpgSbEB0eiqRwREFHEEUA8SR5UIVpEdOD8yKEhiyVlhg6EqBplrTPHoVNNPiklXRN0Si6aVHi8Tuh8wbUQqSOOSigmvAkP2iBWKhs3eUZ0dcIs9u01FsBUogzUBnWsoBuweIYPArLZkCsMIc2WZvCPPPNFO6FwwFNp2wnQR3fWUDrJN5DpRpoT2Dndkca9ucSXg0DTVhK8yugGTHVMOjFmoa6G4gnYFd6/JJbF1EypptFhUFXGtIEoRnWbWL8hFE/UIqAcjc1WoB43YSPQBGxuUaJSa8O1ACS1pP6PPW1QszPZCcxLBwNQrOmuQolgoQU0KS6ElU/uCUqBLpN0nkELAgk8P3zGKUY+Ihzg7xtGjTMaUTFI1ojRRIq0aUFVmPDY0d+AzCCNqVlG8gXXCJTAlcjBbZj5hHCgNTjm8sah6pAiQhaUXps5Ar6hLJCmHeE1XZapbxWwPyWSiKRQLs0aR3EhSA0ErilSY7KjFcCBxIGB8YWwcRRr89YM5dKosCU3BksVhv8jahbKE44k8asrWMMpDFjFRI7tKo5RBiaPct4wlMqrI6fAgC2pCQqtCUA0jKxqzhRAInRCfGkpRqBG8ysRo2G897blgXaRuA/eM2EWiPQpM5QKVR+x2i1EOMxPy6sD09gidPZV3xGCIeuTOHSBegPeoE426rHElUM1gayYmnUk+cFRX6KCIsaLYBNridM1aaSaTKfNCXc/wySL1iI0TOmdshL02aDTPPUwjmAhlyATdkbSnmp7g9J7khDtTYYxBm8Ch7ij2GKxDqgMVBdGGrZqz6mr8mOiqjjSPZD8y9JE6N4ixyHLAuR5rgLol7yNlGnEUknLEUjNuHIvHBV9lxiwcpDAqITcZHxI2Wno7x7pMKROj42HsLRm1GZmWI6rKVAePhIxOBU/N6BNRK/ZEio9QRZyrYMxUsSMU6GzLUM2odju8OGoa5t4wGM+oKpYHDw6yDegOSjIMKOa6o0810tfYk4CPDj/N8FuHp1B5RVMXxmSxg2XY7ZmSx+iGIxFkFNIusxWLQZiHxCADEYuqLSY6tOxRHBj0KckWJtdh9QJvhGwENVqUMdDCaDJoh4oNp3aHzoVdJxgUGcW2UahoQQyqt0hYkaJhiJFiHginUhmmbcLrjKwU/UwhA8xLoSmGUiu6I8EeeuKo6PaONsyBgndrehtQonB7yxgrTCksKBQUxRScHWmjw6AYlaKlJ6vEva3JNqJtpkI/zH+jPCQCaTRiFONkiA7KFzl1K5URHekRlCooJewzCJqiHVqD0Q/f+nbvOY4KJ8LaV8wYaUxmt1oi+4QOGZkfcHpGxZxdPWD7liwNUlVM1RZrD8xHgSQUDK4IJXh0rqnrG/IhUZIm2JakRrJ6iH41jUO3DfU7T28LUxNZ2gmRguTyleskJV9zteWc+1YLsW+C7+qD8jP+Pr4NKfVj46d8uv+3m5hvS0r9dXlfdc13wZdFIX6dzeyPRUp9335UX7fc7/NZ3/Y9/l6dfB9yrG9DqP6rk1I/xvjxY81lfz02/S3+d5hfv8p4/qtIqb/+/98bi0L4aqPOf4TVckms55Sq5Te3bwg504swV4r1Bdw9UlSfVsTBkqLhnA3JWoL3PJ8mOplzz5Lh0VtOx8KTneKzqiJ98Z5hekZp9sjyHYvLgi8KpxQ3sqIlcaF7rquKrDUoYXoS0NOD9OnhBz+E3CtRmJyw08TuWUuKFq4tTRMoNjLaEbN68DSSKNTbmkWY8SSc84dySzCBpo7k8YRSKpKy8KuCqnuI71h+doLvBavuuD2H4D2UU+a3N8xi5JE3jOmUg4E382vmO6GNcGI0N74iGljoiYNUTNoxzRt8P6Kmwjh4ODmgWlD1Y+AOQoHXL8BplIlUvGOaHKUomuahPUUVetdT54oqGU7HkVv1hF61VNUlrl6gjSP09zyKLW2xfOZ3/PUSO53PUK3lw1dX9PNC38J9XUEFCk3+70eoiz2cdMhG+MLuiPq2IVYPXmD4A3LfwLambSdsDPgYeWYMiofMgC99xThviW1Nc7tBlYJomC4mVp1wugGXPPunwv658NH/9Ywbv+fN7I7f3Gi2ecWVOuW3j97BGJg2kVYpdkdwfQG8rZCkHvrI+YTUgqqguROyV4SF5ukfXmAWifyLLf5/LOiscH0xUV1PlFQT5QRZ3mBKxPcPtZSTYZocHzzZkwVud55pnNNK5Jna0DWCFphNmsvKI2rOqjzm3eoTGj3wm6j5j5Lps6EONe04UErLxnyE96+p0ZyF97j1L4l1wp5cENs3VJJ4sT3B320Ik+WNfMCpKuh5z81vP2f7JmG2woedYfdc0S8cW32BvPQ0e+FXakv/7EBxgdln8M55dsozjseoD+6ZtQP/x8fwubHcecV0PvHeDTR7w3/kGR+ZwlIp/ns54r35gVWbuTl/j/ryLXqz5rKqOJZEVYQ/Tyc4P+HMhBt6pqeavKp48seP2BYYXeFXHwX8tMYMe8rNnNfZcWc9/+m/nXG1vuTq/pp2alCi+Muo5o5P8MsVJ3/8nDGPDFJYm//EMfeccM0f8wKnjmntirNH/5Ntf8rd9hmWQJ5tyYs1j896hnLCNjxBfRZRx2t4dgvmPUQ6SDdIJyw2luPrirfqEWk1wNkd1bWhPSosXyRWa2EzCS+nwq+vNdPScvXCoT4V7OCoYsv4X+7QIVK9LWze+xVuaDn63HHz9I/ENqGailXcg2qZ/BM+ujngJsOYlmT7CV0Nb09OKR8XloPhl7olyzsG6bnOE0+twdUV4/GK17tjegIy/zOP1h+gQsOVRPjFlrke+dVnHa8/goOuGT59ym9yodWF7bxweVBMYWJe3vDEPMPMKi5/ueXi857Z4YHIDO9BccDHwqVydKJwQ89SaxptmbPi9skZu7lhm3/H0ztoDobLsOT0ec9iFmj/DNv8iL0suGTkiVpzpLovHIsgW83wfMndbc2w05zzhv1zGFYe/vAR5/mKub3nsw8V0hyh9Bz/h1vyeUIdZX6zFvQGZG+Y5AVpNpDbjvndgXtjWRsLCOnsmHS0pPrsNeW0Rk7m/Pp/VNzFwDsG6nrPLK+YpSMa/si9XXJjT8ndLc5GKp8QFF/MvA/jwokjXljSyzVtl1kOmlv1gtI0qEVFub3i7KjnvfcGfhdOUTkwT1vub588zGV1ptnvyQGmyXFKJp9EDr8IuE8dMiyJ8TH8OjMfdzz5/DWfnQlTXqI37/ERf0atRu4/UIyfOcr4MBE+CRVxZnn9Xk35ZERPkbqKLMNjbElkecntQlDA6f7hFyVt6CrPMLUA1NWAAoqH8RheXE1oKbx8BhIeyKbjSjHeeUKA0Y/oC42qHMRTSm+oh8Svb68ZSqHD85aneL/F2umLNckJpTiq6orV/BhjGt68C5xiqZThEs3Js3fM5yP++kOuup7dNCEyodQC42uWHxrMuwjbQN/cEZoJbOLDG7gpJ+x1w3unl+yDZQyG98PENmd2ArFtKYuEaiLzAHF0hMmBgDqpYVlx+P3AWRk5UyP/I/4lDebfx08qUurffcH8Q+HLTo6/DD8l+da/Ql/4thmd/vb+H7KOv4up899e/69CUPwjP5rvYqr9fb7XX/Bt6vb7Mgn/Gd8vfoiotb/g72Wn+ypz8K/7fj8GkfVDPfPLCLx/BqawQpNxZce0yIShMA0PpIxKmdN9oRNQC4OuHNW1BgUTwp2zVCguVOFlLKTUMMmSRdjRLzKHk4KUayQGJAjlVBGDIY0OiUuintjYyLhM6CDUe2iuT8lSCKr/61ohLALVpGmnOX4TiDWM73vCZgY5UiUhmxlVKhzdT9zHBbEosnqHOvZUMuess1yvthTZ43pPfRVQKhJLJstIPxPKHPRcURVB1j3hHKQY2DjGhaCM8MwotkcnjFFR9mtCFQlWoyfPvCrMVWa38ah4QCRSvEJFgwxC1HfQtTA5kIk6dlQ5slKOW5kxOEW86GASTID3upqD0gQMtxwx1wNHpuceCO6AONA93OPZUiHsaI8sVeUwb+aU+wNst+RJGFaKQ6WR+yVSZ6zLvHiyZesi3Sg83Sp6KQxf1LryCVMLF7dz+tEzGMfiscdlg07wtr4ndxHZFxbxDNtH+tRxGiy9VOyMR+pb4hDpYuKERPVwyM3L5S2DLkjl2T3PTN2E3W54s63RRaO9oq7PyEURLjMu7ZgVYVU0r2oFQfBXQmGJmIyyI1EK494xfHaCjpbke/A9MR8jwSJMuKFA0YSpgtUBSRYdj8jak8xIWB2o0ikuakYRti0ULBtmDF9EOCQO+FawRXF/L1gBXxRjMcAjlNE4d0W+GEgOyvg57CdcFC5ur8BGSqXYnAm5M5ATi/iKUAQVEqdbQQ4wjZa3skLfJcqg4XHBKAe+cP+4o+1P0VvPaxkJ9GAT6uk9dsyYgyGWzNJnnIWOB88dnMb8YoXptlRh5MN6zTAteTd65m/eMFtk9NEC9bLBSodXCeVbTiksVOLVhxUSFPpWc5u3BBFyhDeXc5YZmgRDWTEuBZaZXr0hBo3uHuMyGDq0GTl8cAJVjdKay3ZCRRDxyNMRBgPdEskdaVEzHM249o/JKmP7S1JoEDNCM9HfGAI9ol5iF0KxidJpXJ+Z6cLKKq5kiVlUqEWFbDQmZfxVYPbIklXh5m1GNopJNF55RBI51qTDBfNHHaVT7G4t5tpRWiF9UHBqADFsrUMdNG4EZSJ9W6iScNIprqcFSQpR7XBJk7ID1dJc3CM58tm4pVr3OK24eLyi84pohM7u0HFOGwsSCl0BayKPmyvuSyDFQlcc/VozNhU8tby71lgi8fyao+DQ2dAt3mdvO5zac/oqcgiwqQ3lSSbHUzhYrL6jPy5EbcivX5AQjAiWQlgXUgfOeOIQgUJ4FOkWNaluuXlhWKTMMq/ph55haBlii1pco6NBZ0PeRlJoEd2wa19QH2DWCVtzR7dyDO0FZbrG9CM+C49PHeu0ortypMMbsIV8nFkfNsyayGwRYAGLrcZvHa9LBduETbekx4EyasrLnpvHG+y+4sW2YreK+D7gD5F3dWYsCpJDnytKyUxx4vk4Q0nmQZB5ilpH1Hhg7IRULGNlUU8ifpxwm0C0GUtCesGZPZpCBXjpyFFDKdhxxGaDQ5NcJk6a/FmDiwWlRpy7gjvB6gl9Ci46cjRkydxbQxMcJy8VN+0pwRdkt+XmSJNdphzuOWo84oS9jBhZU+VCG6EdT4laWLd3KKcwkmm7gBhNoiLGE0DhcuBJvuMQ5gSngR6JmoxwaCfycUKCxm881ZixMVHdb8nqBMk1L8sCZQPFFqhvSeOMEmaIJNwqof0EOximDpgoRbFXnoDhMYa4U+wmjYm3ZJVxDmJcskRRMbJ3e+Yu4VwhtCPFL1Gq4t6tiRKxZMLuITtqQXPtHuOrHUfqQDcF+liYHIyDR5JGEOIsPiQLuc/opyPdfkbaX3zlOuknRUr9jO+Of3TK+10MYn/eyP7jE/d/lK78p0aqfVPC4stMh//27+/SP76vqKUvI3S+KxH3bfFV7/l13+XrRkj9szbz/+rf/0/1m/y+8E3knf+qBuFfF9+H1PUvZXzfv70UhyuRugyM3hJsJtiE0ooqaaqu0AsoB3qmcNqRFIiCQ6UeokhKQUX1EHUiFaaANoI0BcUB3QmlV8hMUZRGBQ3KkVShN4ZsEyoXEMEfaqKLjPVDmQCiHyQkojRae9p+JFmBmWXaOlRRNOIYcoWPmdUQ2RRDUYmi9lh/jsEzGy2uCogk9AhuN6BKAh6y9CUHsdX4CmwoqGliOoVJa/KgyVWmUtCkik1TEzxMg1CMULSQrcX4hzTzboRcFKLA+QxFk0NBzITulxA84gZ0GbCScWXxkFXNAz6BGLRoZtkwWEPGMKiKld7T6sA9jkQkK6Hyjk6EkgVvBOPAe42VGpm2iBqYsiEVoRSNHGqUBDSFWVPokkKNjlnkoT5E6GuLVhkjhWZ0SNZgBbt0aPGoZNj5DUVABViFmpgihgmXZ2g8oiq0dWQlDAWysZAUqod7G1FK48XTHw9kIvrQc+jnWGOovCbaGZIUdgpYdngRKsWDrLSD6l7oF47y0HWYjJAnzXhvESkowGYe3O+VYE1HHTNJNL2yOF3ACrkyRKlIZJIRamvRAkUsk1VE7TDiyL1FkibGwEIsojI7HjJGWtGkBKlqMaZQ846pyogXAltKsLhRMTv0FGOYiuNOaaLWWBV5xIa9K4hV1IPFZSFiGKjxMcEkSApoMuJgtyy0XYWdWjpvsHbC+gkWI9zWyKFilA5nNcaDjoCGWEOzMGgMWMWiHujCKUNomfM59lGLWdTIK0MxhmwL2iiqoGhRpHmLvxXsAXYqIjx4h/XbBq2FpKCnIdQjaj7Sly0SV1RxhnIRXdRD9si2oThNKYG9UdiiccrgZwNKC0kcZgiov5Rja9ThgGaPSMEwYUmEfYXohPcj3mWickyhQW8TjckcV7D3HlV7UuMhgdsKs33GP3d0ydLtDcshkkWjdU2kfzBwjhVmGR+IiypTjxZVC2UVqe4yOSZ6JbjBoU1G+URooIrQ3itea8NkJ2h6fBYkKtRBYc8SYgL3PrMcEnPraE5bdpLpVaDXEzM74jIU8UxojM4c+T2HIqRi6FxFSiBJoReZnXMoySgbONYF5yoOiyN62VDFjqM1bGzLvlWUuifftTBUuGoNczDGQXXEmAq5JERt0eODZ5FvFCVpoiqkRWKwNZGabubxssWXnplObGNFnxrEramKwmWF6eKDlLqC0R2xHDLzENj7DalaIE2FDw7VK/RYmD2Hbuvpdy1p9ORFYmqEQwm4KtLaSKoVanLUXQXZQozoPpDOCuwj+g72pz2rCIve01tBWwFT2GqDKMGoRFlayqiRKLRGgQiTyoDDpILdKFRxDF4TG42fR3SK2HFE5hoBps5DMz3MzTiMBFRRkAWVFEo0Gk1sClIMfuPw8x7RkZwiei/oBsJxRXUDkhWDL3RaY5Ll7N5innmUTWQKfV0oWqBPeO0pVsg5M7kObR6y5dZSoRAOxsJMQRLMvlCZiMbRpxnKJJRk2r6wMY7RakzUiFgEIacJZQragTKOespUUnC7kdTCpB230uKVRpuIqjrKNKMUhxKFrgZsFUg7CDGRSwYHQRfAcpEN61EzBotlRJFxWpO0xxLxKhLzjsLDQVA2FqU8iprOGJCCLpkyCcUqstXsTcvST3gzosNDe5YsMGmKaIpSD7YCU0RHQT2GMHminn3lOuknJd/7Gd8dXyY9+Nv//y2+6nT9f2d83br5Mi+Tf4bJ9NfBt4mi+SYSv++TlPo68r1vSkp91TO/DN/lt/2zSam/vv/fnXj5PvDvUDdfNwLq68hx/x3q45vim0ZJ/u118StCz78My+WK0zaxqgp/uHqPtNiil3d8+EbRacvWPZwRCgqN4ulwQWcH1n7L9N6ErFt4t6Bqdtg4YUMktg2i/5dM5/95d6BJiXmIvCpLsEJVP5BC2WdCE6j3NdIK8TziX3uKKoRZQJ0oTG/wbz2LcUDJgqifsc5bWiae6YF3FXjJPAmRy5zRGI5NTeACNY/455dwWdEPM97Fc0K+Q+mJuv6LXO6L+nwcsLlw/LlwqCvCTBOfCBevA6qreJfeQx69gvohmmt2Wag0tL+x3F5npl7TTA3TtEJEU9VrlIKcNePYUlUjug5M5xP0T2CYI5sAj8D4wPzla5qLJ0hT8277Kao8QZeWqlz9/0hMxsmSjML9l0DZR2TIUKDZCH6A2MyIp5FcC+WTMx4zMFeRT8oZ7fMt/nhk97tfUcqDLwgXB57rA8cE/iO9YHmwzIbCm8WfeKyFU6P5w1MoWqEE5n9OtI2iahU31zWTT8Qqo64/xJoOV+3QH9WEW0t8YzipF0xZ0WUBPCd0nOkdb365JncadeuYDYZaIo2euMsL2vPM8YuR8B+FtROuVqCWnsW2cHwZeXOhSB5woIYPMSHghodskVWZMY9n6Ebwy4724g718cTBWq4uZjx/s2OoCq+egr+sKP2DlE8/vmBlFb9IA3881Ki25/GLt7zhmGlbUT5xKF2hlgPqw9fItKDdC89e7nn1/hwr8OHrjttScxDLGkP9XzMt8Oh/Gl6fndErS7kZqPyGmoHzELj/tWJoLMPtAtUMNEl4//M5b35Zcagz6eUb6lijdc24OOG31R1HLrI1K0LaQp6YB3i5fs6+r5jnj5n94oKqrXAfv+XqBUyt4rd/VOyfnNO3NdvX1zwOF9S25g+/+SPPHcyL8D8vC+pMY+YKvxO4dZRtxRTe5xmBI5X5XbVAyzVe7nk2BW6OCvczg377W9zqCrO6ZaDh0Tpx0iU+/i3otcXceUb9FPVkgz7dUv4/72PUnspseD8EtmfC/QksPy7UBbxV3P2fhv5dQ/9pzUpuOLVw6g0fK8983nK+mBPfveV+dszN8VP85Z85CROPcqSsYFMM18EzPX3MWdfx3rsb/ihPGGdz4knLb+r/oNu3vLp6QuVfUZYT8SJRvfJklQmzSLV8jifRxA39qyfEUBPVF2K1kz36N2+YIfj7FdXHv2DrPsMc96w+SAzvMuGgmQ4VCsizhvjsCU/tZzhbmNwZ0/+1Q9SE+u2E+0SQ2DCdvGC1rqmngVn8E7cnhUNr2SxWLKoDesqMf/bE5SMolvpqi9QDZR4JH0Xc545mDy8IvJQX9MVyGj5h495jmlWoX/6Z9/IpqzSD3vL5lWEzBPLsT6jhGarUcP4p55sKnwxv3xuQ3Rn0S/S0gmcvcas979//kuuNYtsJEJjLFQvZ8shaeCRMM8cf/vxLXsg1R2z57+WEcxc4aRLu12e8e9OwvtUcP/2fhM4Su4qz6Snr0rG1Pea/zZHNBrnf0oaWfHJOPj5iHn/HFE6ZplOqzedU44iLka5tiXNFahSr1x5fzTHNnKv1Fn3S4S86Rn5JuRvhZsOLX+7pK2FtQbkK1ivk8pTS9xyd7nn0fA2/K2zDCdfqCe7pHyjjnHz/lLz8GFXXqPYR1c0VOucHknx6hIhHKQf/5Z7jSfPibYO8/4r9mHn3xnIyjoTVgrtfPOOXH39GsoY3zy5Qb2+Zj5Yn4ZQrecnBjuxnwnGrkLhgf/8CKfdoPVLVgWkxUbXweFUhhwl98FTX5wzvPXi17d71PIqRkite8pzqyWuMGZFbT3j+QBye/FFY/8KhjOLpnyNWQWwUlx/AxSuwB8Wl94THFxTTUD7JKBRKJar6HaMZEVVoYstfbw+maUnWBnn6hrpWWDTyqiKEY3RueE5iKreMauBu9gykoCRRq92DG2CxjNMTGn+NtxuCNExTDcnwvrrjVmq2eNo2EheW1DqUOkXSDSasee9GsS4zNjQ0TQdKQAzj9ARr9li7Y7fbfuk66edIqX8jfFeS45tuVn5Kcr8fGv/OEQc/VmTR18HfbhR/SHndP8K38b76Pur0u3hJ/QX/u3yv8K/vqfR9mZj/u0W/fpN2/abt/332GaWgC5qUFU/sHTs7sTOwdo6QW0JskcUNcyMstGJbtgQyiELezpFK0C+2nFxHklJ0tSesEm4y1HvHgx0vD4zU8Q5JguBxRxPFC8kJj69hSJnrIEyTAZ2RXohTQ1XgKFbc9xVSMqiJ/aMGCYZ832HdQEZzlc8gXKN1JDnBCUQFdw7C0T2iNOrtMSdDh82RMxGulyPRF4I7xXY7dE4IIKZ+iO7xiXBaSFpR3szog0IZcOqesNNIqNCPA+GxpkSFvLPM9kIdLYdyjDYP8sD/p65dRi33JBJaBLdx+HGL4sD4TFDRoA6QfYU0Hboe8PcVZdWhqgHfT4y7hpQr9LMWuZ5w08QLMneVMIji/B3EYBExHEchC2QNgUxLwuqIOr2nmRfmxjDYG9JcyG0mDx33LtHbgh03RNEMVvF8eEQxA9d+oEhCK8EA46lGGYMYR5BTMnsUO07YYPOEnib6zyM6rEAd0WlLbg/QbqFouq4i7eeMt4Vlqzl+z3D/smNnCrtaaO8Gqk6j3zhujibGYvC9IfbHyFRQjEjc0zrh1GkubwZUFameR1YThEPkfh1R/h4dCvZlhZeC08JF7tkaw5Q09g6wESqLCsfYYYdVQHRwdIuoifJ54YhMCAOjbBhXFrPILAT6bSJH4eo5pCPIyvPaLhnzhhgTdDXpaslQCnduQ7DXGDRn1jCoRBTPNSccXW2YWcXVcEzaPWQO3DJnfrVjUQ/4pWGzU6SQONnecfCJQUOTd5TTRHSW9bsj2tizUjuM07iqg2rizjn8OtNuC6nA/n5kt9NQLiiMmLjhxWsY9Qk7VSH6NeZeo9eaSQL4Gi4ayG/R4xwztcgYYRUp88S11/RDoQwZyffM8sAsgN1qXIKsBXvtSL0jBwe1YbVvWWUY7DXTCuKxZ7ueOFghDA+yyKANB2OYNpFcBjiOjLViPWmm0ZKBw+QJzCkXJ+AyR/o1I5md94yuQZ0c8IeGx90xL+MdhxJ54yzjyQbTjCxmM676Y6IUnLth/jyQitDfGC6qxFgJ13NFvvOQBa8CuxTREjiVnk5dkPqa9PkThvkVU+noH78k3GnUZkH6xJF7QXJE06NnFmUEeXfDthwBjmJaTqeRioz9LHBrjym6ZXXnmIUemztEIIyOkmpO9scMy4FcEgqh7DqkeIKaI6sBao198wKzuyGHxBv9mK5Esgz0zjMrA20QNuMLNruBFLc88pmj8mBOfXfkqLLBDJrUP0RrRQNu4zA6YeuOk+HhuxErrLsbxqpG1Z4meOzMkKxl83pO3EdCUIhkNhqCVlyEHSkvuB6XnHy2J/WaQstQPcUcdtRTTyrvkKpGNS2EDdqP2GPNozeJ7nDPwJ6z44r7qWcME+cXM4Z1w35diHZLSQ7pHNEmVE4wZGZPEkoazO2SeQwMrufwbGBTP8wXRDC3ULpInnqQQh8d7/ZzHlmBYiipI61PEZeRkzc86wo2TNDfcFWNRCsYp2DQ+HGk6a45vD6ic4lXy2sa0zCJJ6aG9VGPWMG+uyNGh1ih1rf4+YA2lmtZY2JilkF6UM0pYhzO3ZGWHVIgbFqMgRLgZts+ZMWLBV3uyWPBqsJpKgxaM9UCJ/f4fUBHISgwawOmYnu+QPoOCFwfCUcDoIQYFVtlcVZRSyDFW3JxeGepUsJJoQ2wdY6gCnWYaN0R2njuZAuzPcoLvlK0aYXJns3RPUebDc1wYCoJxUSlBC978jIhPsPtFwsHVXBuTT5KhKbm+M0JoeoJs46b3QnT8YSejbDWLDuFHTQ3khBXyFZx9/iI1Al+ePC7ylUmVxl8xvaWqm++cp30Myn1b4Zv63P0fWXh+7Gigf7Z+FfIUviP8I/a5OuQT990U/Zdo/L+mR5X37Xs77I5/cv9/4hU+66b6h/Kg+cv+DaRmD/jH+O71OG3kdH+K5NzPzS+L2KqFM1YIMXCU3NgUoLKmkErUraU4ilaY2yi1ZmNGSgFVBHM3iIuoOYT8yuhE0u2jtQMmGzRyZGxFKVQWsAJUYE4jW4L4oVsC5WCVAQVFaoYSMAIWVlMUax6zaabkU1Aqomw8ORRIfuemZ4QKrbaMQtQlGL0FlKgKE1XGVI7IMGht0e0DNRKWKjEtgqIVxTnoX/I0CZagIqiYLJCajNFFLw1BGsxKuH0njjViDbgIwiUQTNeGxYhYYpCisP7Aa0zSR7uU1ZgkSlTQQK43lDHEeUKYWXQNxYmTXIeUQldhKYYsh2RuqBUgR4kG0wzQ9UJJ8IiGA4FAoXZBEP2RBxtDqSkyQk0BaMKohOqzRjlcclS6S1SW8pM4feZURdGDb50JNGIslyUMzYqs9MTBtBJo7ImVBknhpwN2nu0tkiBVjq0FEoR1DpgTME5AyqDn1BtjyuKnDX7cUYZHLYxLGeO6/bAqBXZO2YmIdER9o7dRYBJ4Q+OJDWlZKIuoBReCXNAhwlcRjVQOU1M0KuM0z2SDPGwpG4DCxtZxcTGeaai0BOIj+gvTJ791GGBmOYU16NSIN0XKp+x8iBJDZVFO0VbhNRFgtLszzzePXyb3aIlpzVlStgEat9ScmGvd6A7KiW0tqGgmXAcVMv5bofTYFxDHkckJyZlmA2JOkdWraJzD5kXZ9OBWxxZK9o4kYtixHEvFR/YNUd2ZCwGpQNRJw66YTlEnBQGp+nGzCATlTsjykCUkVnn2KU5W2Zweos+gA6K7AxlZZBGQ9kjxVFSBTogLiJNIcwtEhUuFjQddY7UE6RBEA3BKMzOQLIUHMYkmqCZB4+oLbl2hLkjDDzI0kZFcYpJWzrrMfsIkqDJpGNDt7OMk8WWRIxCJwo5bWjpWMQDA4qgHaNroOk4CZ4lS+rpLakIG19BO+CqjFdwH+aUNGHMBt8mTK8oO8PyNKMr0EYjeyhJgTVkDZ7IPN+TWKBTg94viGZNcSNqtkbfriixpt/ViIBB4TmgvEMDdrenT08ppcZGhVWaSinqPVydVKRSY0eNNj2YgSCKaTLk4JgnxyAKMYLXmtAHcoaoZ6gv3lffLlDllqJhJ0egb3FqoGhNqx8kZ/vunL47UFLHsYoY1VBZg/EWZzJWJZg0Ef0gnw4aW2W8mZhhUUUTk+MmDcRGgVdY72ChydbQ+5ZYAjEKUgUmCkoUx6pwbwyddsy2Pbm0oCGpFiMdWhLRb1HeUrmWmCJaCdZrGgslDMi+Z75Ysg8ThI5qecE0eJKCrNcoCqZAbhI5BEycsKuA2rfoTUsjI6WKjPNAbx2SgKhQO4ExQXqoo1A0Mcx4pDPKCJQO+gbaAeY9ba8e5JllQhYJaoWvDXiwOuKGNao7ITZwqAdSOCOHlpRboteY0lFvtpQ8A8m42ONtJvrC1gtHUtBZ44JFSosgGHNPXgYkOtKtpw4BAnTB4n1FloBXPTEatILWZA7aMfiCXnSobUYFAQN6MohzxGWLXiekFPZHE1V6kDGnmAgo0NCaxJA6cjYY6/E5UJVCVRosmoJQpURlHUoqKBptI7iMyY5qbLDZU+pCY0YWCq59oi7gRNOUidElUlNAWlAFpQvad9AIqrJUpUKZHvGFe13DLKCPIrLzuElTR/Og524EaeHQVtg0YeNDVHYxiuzBtF9kiZ3MV66TfialfsbP+AHwrx6l8TO+O37uAz/jZ3z/+DpSxa+67h+V+32SrOO4oJE9lo7XbYt0UB+gGgaszUQ/MNw9evCGUhuoQMeIjYFHZxN9shw+95AmknjGPAdGJtUwqXNyucWaSFVl2DiSTvR2QL18jtUJ73e8/eJdZklxftQSSmKzLYT3Mq6LNG86tFpQ1MPisRw0VBnzUcfxp4FgeoaLNfs3Sw56xe18yXz4jOId0/ljqrtrmnHkhEve8BirDS+aNY8PmVFH1vUnSK7JFqbFBF1BJw1opD9GbIHH17ibGj+CYSCenBFnGvKe09eC6YR1BbczUGViufuU2XROUSdcqpqz1Vucz3zaPaGse3QI0CSqVY32mpuhxqcRTWFQnuO3S+ZZM3efYd9A8oo//krRhgPL3cjp7xeYZz3l0cTlqxdMeYOWjrcOFuqEOjW8K5f0VwtGKkQCRxU0Hqqbij3QS+bJOHH7ZsFOH/PhkWM73LPrNowXI3K/QO0bXr33ObEpZKd4VGB/1bK7aWmaHXUMzGTi6P8Y2N0bdlc1UQY6admzpGk65rOJ1ewN803hZt1w+e4pH2rL4XTk5pd3jLstad8yXC6ZfjPBdkH15pxNdcntDMLcUvaFdtDMRsP06y19DBy2HbNnhmHS/O62ULue3Hnu//sxu//XAmkNqhE+3JwyNI5XT+fE+YbtUOivPSdPHLaBO5fJv3/E0Rj5UH2CSbDXmk99Ynw5w2jPodmQfz3hJlj9TrN/d45qC+bpDb6fUGqG6d/nxeEV9bgm396zKYUgQpEr1MmKqOZsNu/z3H+KNT3vKPyCR2il+KR6yzBNDJUj/OeA/byn3vYchSuunj2l+CPsH18x/uKM7rHl1f4Tko9UVtF4xeVtYTNOmP/zHZKEsVe8/JMjDJGcDDI+ZlpoaDVq2ZD3nyL9nriHS55wWT2B30zY14JbZ4j/CVWusGXHi90jruKGtV2j9o/oZA/uGn7VoNaC+9zzn4kcaqFvFCfFEiZDPwj35x1mcrixAuBxO+PMz9ks/szuoPnz3jOOzzFvD1TXOx5NsDGW7B1X73tKadFTw+PLgZ1TTDOPWlTk6EnKcT69ZTK37NnT/95yUCsG84xUveE4eC72MzZLhdOKYWn58EazrxXXq4qPXk3skua1OH7BHdFk7h2EPybqDMcpo+oGIvi3BbgkqpY34wfoJytc3OBvrjiSz3HtjNmH57wtj/HDxOO7NaHsOBxvefdbxTQK+l5wf0r0x49pK8UHJxOfLA+U4cDjTw7cucJ6UTh7TxjWl0yhIZ6+x+pkA2li98ozjA4kkZvPOd9N1NbC6YxXIZNyRmSPv1Zok4FPmD6IaO85f6M5PQtYOtZ/KMw+FPCBo99fs3sE2zn835uCnq/QusW/eYvhGmUTrhd6dUH0M3iUKbsDqct8woLy8uTB0+dkC1sgC4f/usa+S9h9xfy3K061x+nCH6uPOf8ss7py/F79lvzoEn3yCUMncJ+p94J990dSNkyzhum9iUc3I883ho/Pf4Habii7LR//sub0WnF2pSi7gsiMouZ8kq85ouEFDdehpjpL1GcHrqOgNiNmc8vOGrTpcWbH9KvHuJ3l9C3cPj+lTBWyN4z2M7AaFYSq2lHaGXl2QnXdMfo9nKw5eifE7oT9+Cv+/MEV2Bo4huZPnCh4wZyhLWzrxKUBdbrjaF/z/NX7/AnPhAIpyNWIlpGKgUZfkA+O7uMjNvU9sRqZViPvCqhpjlq/wO8u0fqLbLuOB/KFAghaF+p6TwgXJIRUXxPkMaUq8MtXtDcTftCoT2u6RxoQ3BXEU4dzmWfdn7meXjDqOWo+cLd+DMFA+JzjKbAQhX+mibeew6ABiKWQEDaVMM0DWmXqHq6miQGFl5Z2dIBhC5ypwFzvqasKFR3BKda/3PPoRljsDG2ouLs27DUwPcU2e1TbsX8aOH8bWbycuKzeMQ0L8mFBXd+hcoCx0C9GJlmh4vHDAYh6MJyvLrf/S5sPqO4UvZ8zG/9IWRT6xVevp34mpf43wd96jXzbzF9/MU1XSv3TZEn/CviqSJFvmwHxh8D3Ifv6Zz7zq/B1oot+7H74976vL3vvf2bf+K6RTP+MuvxH7/Sv7Hf0TaNEv8z/6eua2//1tf+KdfZ94u+Rvt+1Tr7fOnU4ZWhRPCx1FfCQFjplR5AGJHOoMqkVwmyJ7ifUvsf2x1CEKWXurTDqiKgNzW3GR8ErTaUnBiy7uEJkoFYDJzqytR2iBCWwSIlQCYcF6FSwUeEmRxChQ/NKGnB7FIowNbBt0S7gqok6r7A50dzsyCpRmom8OjDct6gEbrsm1SNdHckC8R5SNlxOM4rfU2pgoYjBYhDOLHQHhQlwHCM3vjxIHrJCHwQRxy6cUXUHXIl0TaFTFuMeCLPT6cHcdvCWTgWKaEg1+2CpS+RJ2nFfTYQ6QzJsOoMEUMsDyoDV8KTtmWaWd9nD5pSlWEwpyHTDbFAsxsKYrzFFkOyZ8oZ2NmAr4cAF1SZSdWvWXsi5QBGUWkAeYRrBQjKZrAWVH3NURdrqimujSTmhE5zdwqQKcSGcjUs2nbBNirVo2rHmhaowttBnxW0C3Y/EWkjPFLubE0qM+DSCAjsmXIi8GWdIDpwzYESjekHdFnywjCZxdbLl0dWc3rbsnhu4PqEde56wZwqOKdfsmNFcZWKbmU41zs+pe8eiN+SzLW6cqO8y796uyCSs7Lh2C2ISyt09F3uP5IY+tKibDF+Y1FsxBGN4WR7hzZao8xfOXQoRS8RTrjQuGSo1YykdoWjupgvS6RrJCbO942q1wPkKb+/YxWMSCuP2qLimqAPWCoddwShDoyeuY494jX6e2L1aQbTYt/ccdRpfaiY7kG57YmW4fA4yEyoHoVacbFbMi4HzDUerM2xx7F/eY2J+yGYHyHpBcQb14hoJJ1jtOV2+JrmBPBf0owPqaqAcMpvX58y6DbXtuXtsKZuKqT/han7H0AS00bB3dOqUIIK9vafohmlRcXOXUEZhLAzVjsNRejBgv9eULEwu0i4vOEyFEO/pGyGYTPQT1fqKkmpiOMaaa7RWUCBfGY5l5EwGfDnBlYlZHHgXCzMTWc4sfbIP45Yq6PcmJNyTDx1tM6OEzJo1Ya2JMjHFd8wWiRENXUSygAIxcLsKFJ+JlWK8cSRRTA6yjjgxPIoVl0WRRFOkR69aRi1cNZ7zmEh24mV3y5leYoviULesFydMROTzex6HRAqO+/qY0/0WPTpeN+ccXW0wQZPUI2ZpRzoUrl+e0C7vWNlMu9nSuYjyiveet3z+2jLEzNR2xBNBbGGnBk6qxJGDy7OR9jaiR8NWnaJvt2gDw2HkclWjGkHe3zFMIDvLngsataNm5B6whwlTHmaGjAWvWTxOxP5AySPnHg7HkXGmKa8nVvrB08/uIveLJQdfUz7XJBnILiI3Gpv2VGVC6SP2w0ByhRc+cHfQ7PqGSUVmZke97JkOwqAV2YGrHPtlYpA9+bJBpQgFzFXEdwWv4e2TM9Ku43h/YNHV1KFg1YFgAsm0BN2SttcPEXy1Qt4cU+pIejwyUze4FLCDcHG5o8srdnFFkyHlTJAACJXucS5weWGxg+XF9oyxvqOWjlm5RN00DIvM9uQtzdsZkiJ37BmrzJQTfvKQO5QMRDE8XhpSrUgzWIclufd09xW39kEe3acZKR3jJXOSM1uzJRUBd0daugf/PNthdgadK+JFA8OIJEWMDS5vAEWIp5TzHq0T1euGWA2URiiDor4vaIEMyH1DsMJttWeSnoJGOfD1PUopRgGhJmTD5j4yBY3if60FC4XRTuigMdaxfy+xvOtZ9pk1pzTzHuM7NkNgCAUpAqLZnASUF+ytRfeOkjVrm+hKQ8oOa+8J9UBxCfv6hHE8INXA+VlkWu8IvSbPJiZ58GvjcM4yGBq1ZW0fkjAQKxBoc6bKma1zGHq0imTvSD6RXPnKVdLPpNS/Gb6tDOibnih/nfv/epPwUyFk/h6+jczsZ3y9Nv0u9fd1CNS/fpd/Zlt9Henal93794iXb/qsb/Ls71If30VK+F2jS77N2PP38F0iZL7qvm/jNfaztO6fi5/y/PIXKCVorTDGIGJQqmCMoO0DNZVVhSqZWGXyHHJr8ZJRkyWnFskJ8sSh1mQd0Cpie6EuwkwVWp0QHPfisUx40cyTZnADST+ctrY5gxbSDPI2PxBARaNFE0WxRlGbEVUsOc9Qg0EHgwkaLS1WJtoRRpdJNiIWonOYkKmGjrxKRCckrZBtRuVClyyxshidmVshlodMgrWCKSrMBG1KWBJRKYxyaAvFKUZpaMI1iol+1Exao40CJVQJtGh2piIjiCSUSoxZgSjOc89ulohGsBvNECBlMBIwyuCMoq0DgxroIqT8RTY6nVAR6qCog+KGER0qGA1Zeqwt1JXhoCvoR2QaSdpAEQwZU2mUKDKgRB4IC2VIVYut1xjfcRMTRhy+GJoJaAqqylTjDDMIZRJ665ijWTpF8RVDdoTkoLujzDJlBrGb4YY9vgQKColCjoVtcbSMzPQARpDiYPC4WBPngXE5cPFyRl4aykmm3Dhs1MxLptEVa1Oxdp56Wyi6oI4DLjmqUOEmT98cqCVyrEbW20Q2Eec7On1MihnpA7WxFOXpqUi7iABOaVSbidpwN8zxakLrCW0zKhtAkZWBTh6yEOoGbzqysYzjjHTUQ4pwObI/OkZbTWOgY44ohXM9qAOIQmvDOBqcgiWBOz2QnWG20uzfzSmjxt9f08QWj2XfeOgCJSr2LxyNLdiSGaWi6uc0wRLnW9x8Rqtrht2GkgqpPBgEM7Voq1FP3qK3LT4Jx+qOvioEbzBugPWOnBPq/pha9cz9lm1lCPYJUc8J9RWqBq0MGQi6JhuNGe+QpiLZBV1OVBlszoztDf2RoWsc+lIjKiA2g68YpwNDPJAFpBKMTbgukLNDckW0lqwfZKNqp2jsxJGdiLzAUHCy52oouCTMrbAxjvTFnlKfZjhE1BhwZoUykVHtKcEjBcbcQV2+kAcmiljEaVRdGJsMVaZUmqAakoHgMzkH5klRFYUR/eA7VCWsHSg+sbMVJ6kQYua+73hsPBrPTlsOsxl5nHDXmvlkmKgIfkk93JKT5t4v+KC7xUfFoBqsTKRJ2E0LnrRb5hJYjD3jQVAzzfGp5tIaxlKQJiOtIhphmydObcEq4X4lVFuNGh1kjxsMRmfGkinRQOUxC4tcWsrBE9SKVg1YPYF1uLHgUiI6yHhQgj0SLAGmyFIbgskErdHVSKu2LBhwwXLwC3RrsG+EPCuUKjNsFFWISJ4wfs5gE6kKnNnI7mCQqSI2gmkDtR/JSWENeAuSFaNNHJoIlxHtCtYJaavQWVBa2BzVVGFgtkvMuxU2DWAHioeoHDHMkMNDsIIxGr2ukDNgFjCxQ4cCSdFuB5KZoYzBxy/GSvVwRONKYFZ63rUrlqHidKgZFhucBBZ5jXQt4hK93mC7M/KY2aWRUgnFqAcpZRghwoDiqLaUmdAthENYUcQRtWan7xEpJN0gylEVz2ww9G5AqQmtdwxuidQGUyfUm5qCQZ9q9KSRoijFY9gAmpFjvO0xErE7y3SmSRZEWVynsBSGVlBBP0RXWh4yL2r1IM93A5QHubiIJWXD7iCIEcQKKIMEjRQhoaiTQaMYFoV5F3ERNkGhm4Bphgc5ciqIgLiKqXnwfTJ3FZItSWtGN1GSRheL02tGHUgoqk1FtpFYJer5hOoiuofRZkoRUlRU/YLaDLRuYKsCqhSUaLIRfBZaFBsjoEaUjBRtyEbI+mus3X/Ovvfvg29yuv517/069/911FQp//9M6D+Kqvqp4Jv+9m8bZfbvhq+TBe/7JqX+UZk/pDTu22QI/CbRLF834uabZmL7vozb/1LWdyFtvg8PpS/D90VKfd0oyK96zld9K1+3LX/Gj4vvmn2PIwsLy/DJjNP5npPjLVdRmOpjYnVK9fId7SrQnkXerIVlhOOseHPsmW0KRzeJl88EPxrmB8vd2cSqb3i8njPVA1sbuLOBD+cPnijrncP1/UPK+ariWQh0q8K7p4rqVYWKD/3Lnj1B4kTaPGRTy9kRQktdH1Aqo4DZeEw1D8ye3fLusiJEDQrG44eNi9/+TR8VRV0KJ2HiDc+xFF6otxxE6Gq4fwTl7ZxqFM51x76u0LSchDPW7oahHpiOJ07fgQmafV0x2pGs88OaYgZkD5dnLGixujBWVw+PdoXpZIRaUSV49gmsnWcwBpRwtoiYKvPSwfk1+IPjlTxmebanmg/0ZuLk2uIOFZ/JY7IcUGqgaSIunaCkYj3/BN0cocwSddkyz/e0dsfi15FbJeyjMPtDRqmniF9x+OATyk2Dua/4SN9jAbHw8W+E2QbqteFu+DVJD4jv0c9nzPOaJm25M084XzdcbByKP3FvFbfOMCxG5p0w38O+aQjRk2LNc7XiQGSrBt6/6NjP59zPjjn6XSYcbxie3VJ94iEpRMHgBiR4dD/jF0/O6JvAdd2hPrlAogCBj9QrRAJ9gfHph5ipx99dcuw0xoOq4Gr3S7pS0QGVf4VS4SGd+7hgoRreq+Z88v6fGcZM+XSG1uf45UD74jWH/n1kilT9K3hqIBrklSN+5Gkj/OKPE598cE6XK/hcM3//NVpNxCvH9OgJxWdIL8EDY418es7iUctcBZ7cfMbmQ4VUFce3j/hk03KIEe9fcxoUTV3hf/2Y7ScvmWKk/Kf36cyOOAjyuwuUWLT+/7L3p022G2eWLvj4iGFPMZ44EwdNqcqqsnv7//+Ga31vV3VVZkqiOJ5zYo49AvDx7Q+bqsqWiSIpkhKl5DILs7AIbMDh2wG4L6y13ojzH0PoUF7h/+sTk4U0ecr/84o5DVYXpuYzTlVkLpXLpPjdlXDfKZq3DWGy1KJpu8iVSsyk8m5cMqgzgpoBgnN3aL1lOHhm5yPNSWTbK7h9hXu85JeSebL3bNs15/85suGEbZyT/+8153VkpROf1AUzJuZMrLTCvtKoK8Wnv/Gch8J5Fv57vSLPPMwM7f4d9izizyuX//IeT37L7fyBcrNE1RajWk7IFIRJK/J/uWC1UZx/UXlbn+jZcap3PP2nXzHuPMMbYV7+BbFC8S2X4YpwHth+sObF/5gIWfPgPGF6jruYmP3yllf/TdjmyidN4RfeEJdLrp+94L3/9glBe949u8JcfIHeZ8zH9v9PQXIVAt4q9MKxXy845IZH1aNx0Gq4ALpPOZlG/vmN8N/NOVvxkBTvqxsWKjBTmsL8SAay49p5Yg/ty8DJZ5CV4rNfK/wnlm6AZ21k41+TisGsP+HstUJmPb/Lv+bZ3e8x+wOfj6co5seqcAjqvXewTAgf8GKotFPken1HjM8Q8TTNF5xFS689+dUJ9f4GlXf0/y/L8KYwrg379gXQ4orw+uljtrWwF8uj/jlKtRivWPzXR8a8JowBfvc+tVSUyrTtPSWfUuqMxr/hWUmclsKEcDsXHnqNSr/kYv7Ast3w6e9+yVIlFj7w5gNHuRfkVtC65WLxwNnykc+XJ4R7TbpRdN2eeYZ5UoxyoPQXlMUz4vDZsXjGl4+IcrYkX57iP3pDX3rm+pSH+oZWMksFn/cvYVL4fUTaR+YucuoT76YW1xXmJ4nrmabuNO6d5XkIjDPh+hIuvhBSbFnLkv90NWdMiU8et3RdPuYtCkzTHK0r3g9M5xNSOtT2GY080JXAWYzcNw2mEy5PIp+8WRCdonk/0n8yRwJMzQGFUFwlLAI/3z0Dgd/Pb2kODcSOEC45bb/A9gP5hSEDdoCzjyvXvM9gNWX2e1R7hioNciu8UBu8ztw3nvgsUWcG/AXuzR61gylc4f0D1hwr0qqLhLIF91FlfKWJfUN99z5eHjFuT/gwcv55pV0rHpoWd5JouspZ8qimABX3sePWKjbm+Nw+dzNa7/nkcqLe9PDkaLprUh/BVX59e8XdheZ+qagfFZZ1S2cO3L6Cs3TCMs75dP6GquRYpfahO6p7OyF9vP+z86SflFL/IPhbWen+/aLp6+xUf2qx/LcMEP+2x/gqm9E36ft/ZLLqhwjf/mv033cla7/Ntt+EgPg2+Db982Mcez90m76KiPsuJM/XqcC+iaLvq/7+50i+nwipfwwoBbN9ohsjN0aIJbPeOopAPQjCxDLMUU97piHg8ITc8JAaVnFDCZa72lEeCtlpwsziBghTy7X0KJkIqYWwQMX1vzvuly+FFNxdQlEad2doR41rKu4k82QqJYFRsDpdEE3lUbawFnTymDznsPIMLrPdVmxINEUTnMMdjta2nBbUuscQaWRkUksOvlIuA3mtsQlAEawlV01/b0i5wahCqJVlylQ3cH92Q9h78jBHisG6gLGCqqD0GcoJqnnEBgvVky8tU95jSkJlyCZR0MjDc9oWrMAdMOUMJBaLA/txQRksttlwWBTivPD+zRM7F5l04ezeMk4tT+KozQFSRYolRk1u92D3qOGMZezpnGHz/JYYRlJNjLkyHWUunOkLaqPJfoe+KfgxYHXm9tyh7AxlG7p6C0URquGk3jEZS1CW+O6AxzDnhHtJ7EsCCwrNwVaiibjJkl3H9rIjdXs4FNxuYn0ekEOh22buc6JsHP4pMuseWSSon59xo9YUGtQ0Y55Gcp+JFyPxaSTtyzHf60xQJoLecPfuAl0nxO/IwwavIsszzZ05w3rDcibEsCGLonpNPLR0VnE636PyjlKEt6nn/Aam4rlTp7R9QWEZ376iLLZoFZHsye9WIGDUgLybE6RyawPhbgQJOFepW6FYTegjNd9ho7DaCZsVJBNRr57oD1uMVD49E+JjR1N7LuIMNYtoM9KXQFt6lFJc2y1No45qmk+vuZjN0cqQ+reo6RQtHq+esbZ7RimMn14hbo+pCe3WpAWkVlH8OTw+IocDbzOErcVER2xP6N0eXyYYZwxGMajCvgq5fQT3yCJCURkRYc6Bdpjj5IRG1iSzJs8H1pvKJJlaFI8fP6NZRK78I6ICfVPwFthDXSrKzLC+PaXmSI2RGM94LJlBIlfqwGF+4HABDJUUhTgI9UNDGhx275GrwFIbTrTnPm7JxiG25fnNO8rUc2eXxNOWOlnybsHi0VF1Yrg6UB6PRAzAzm6xU8PJ5y94OnlLjuVYSEAG1DZgP6pcxxdMLsLskfVgUE+Gdl/ZVYtrHe93LddvniNDwSXNuLqhFmC74L726FRhl0k5k0UQKSyVgywM+8h5KMxyR+AUrQ7Y9kB5bkl35+wS3LoIFyM0laI74r2gQ6F9IzyNK2JjUHVidV7oWsg3PZNtEeCiKNZ3HXHnOT29I9XCaBvUiyXLpy0mRA7O0o1zdNEc8hNbG9kJpHRJLw3GCvvnlk11jNUxnxoO5ZKUFkwfHXBDg8uGyT0ioolVcessvYelrTyEa5bJMs+W9rOGbIRBCqoWlgz0amALVCnUeiSLD7VSa2VyjqnVmN5x/s5QXM+DrVxyQyyOh2Ax91ukVMqJMPMbght5pyryEDGTQrmj2ika2AGkM0pR5OkBqULpK3VesfeWukvU8cB8CsykodOK6yZS5XifNWFDbSpxmZCHBTudiIvx+IyxAWnXRytw29Kfn7J7uCfVjNuAKx60xpnAu62iSsH7glJCLYZcPN3igKhMqInzTaVUxTo6WsmopnJ/1aFUporiOs05I2FjxVwXtjKhDFzkxMYYSoUaKvd9PHaAglMyxo+sz+8oe6Ekj9wpgk2kWNlXWOrI0hjqSnPILVFb4utHNg+WpjrOnznWURGmCvrAciiYJGzrNSl5opqhrjbQCqoqVONRg8JGBfLEqoxYyVzvj8/2UjXEBSHuCH4kdZnlrtIMmju5IMgBIxOXOREZ2Uri2XVmM3gGDAgoq6gt3LuBpCpdFZKzFBEm5XF7iDWzqwMvwyXbpNlnmF0+koMhHvzXzpN+IqX+AfB9LPD+EpvdN1Uj/KmqY1+Xp/J9EwZf1a4/ta+vWxz+PS4gfwg1118SHPx9t+Hb5hF9l+/n+1Df/CX4Jv32fdpkv+t5fl9t+b7Ju79ETfddFHjflLD/c8f6sd5PfsK3R7UWHyPLQ2TbQBLNLnrQBYkgoeBoyTEQ94JeNaTcMqWG87DmIIqtOOxBo2aa1BvUxlOS44DB1kquHp17kmwoBqoWNAbBUsWybSs6gd0pTNU4DU0DJWdKFbRY2qYFP6HNhGxaqA5VW2JTKQA7xXnMKGUQbdAFJGty7kGNx3VoqVSnqRZkAbKvUI7Wg6IdiMHvDaI9ojOpOOYVikrs+wj7C6Q4mCrMM8oUahK07o4Tf7vG7A2qGsqpJqeJGiN9NGQDiMaFFS4LCtgrTZUdthasLWymjhRbujQQXgjZF17eBg66UBQ0Q8MuW0YUVU8YbdHVUkqlmD3KZdTmOX2yLHLh8HxD1JAjhKioEWw0NHpO9iM0A7N7oSFhbOXdrEf5DmMalgFSUSSlWLg9yvQgDXUzYpXH6RZdBkIjlEZQSpNUoaqKj57adYRugSwnTK3osXA4GWhrpdsI6wQmRXyY8KcbXJyht3PezrZkZVGqxSULrpAuIuFxJI+CLgX+KR+r+DGwvVtiCjgzQghImzELxSbPsK3BzjLR7ihSUE2lHlYoZWiaTGMUu5pZl8L5RrAoNsrRukAtmmm3QDf3aJXQylG3HShBdxG7Odr61k6RDhNKCcYXaoaqQM0KlB0mwmoyTK4iXUUWA826QoaHhUHfeQgN0VnqagAfMVPGaqFKZR/3eKOw2lAeBmZpQecNB7sH3aCrovEzRrUnpUK4m6G7Y6VH0RO5D9S5QasLUHtqHnmUQokaox1pPqdTB+YlMewtURuSqgQlmOaA6yK91oxYYjV4VbHBYXKPbXYUFantRBgjolpMaRnue5o6MVscQDmsVeA1zihUo8hzTX1syUApQpWGsWqiVD7UB6otTG2FpkVqoR4K2xcKnY/3B9VHOluYa+FtHCm+YhrL/F8e2dfM6FroISvHMDVcjJk0D7CaKDsPtYAqRA7o5PHbFZvnj1QVsIcKZkByhidhTU+xFm22hKLQk2ByJFtNYwynVnh8XFCC4EzhYBUVhZWWIEKVTA4VkWN1T2UTvlSUZEI9sDoYfPUc1Px4/2gSsvSk3QlJG7ZuT50fYJZRbY8ZIk2CZqN5MA2jNeia6WeZVgm7t45UQAk4aRj2PSEannVbDgWi9qiZxw8jTgYmNaMJc0wyjHlLnI9UbZD6HE/Fmcx+qYkYarK015WkGqKx8CTMygytFVm/Q1ehotnoOU0vdG3Cbtc0xdJFh328QndHxagm0ahAT2AUTZGCSMaKkBEOCKMxJOvRtmEZFU/BsXeeM57INERpMLsB3QrSVqzPJCAWg9llbAVlhSLmaKU2FV16ChO5bgAQJ9S+op2gpwT7AWczTh9/ihKqEgxyLPZhC3VeUHeXJDzBQmM6ioKxOkxSePH4pmdjWiRnmgPoatFKMCazDgNGy7H4hzlWdMzBMXN7ik6UWOgOmlwVWglaF2ojbE8ty5iQqNjtPad6ok0VtTY8+YI61v/ACWQ55kIONoFSqKjopeJMZJpHptFRJoPaKYor1CIkgZVEnDJUb8hZU4G0HInrHi2WvjEcdpY0FCDhksJVweo1SS4p4qER0IKuimwtKhlsAsuephRMBb0XSjYkLK5YhqxIGWJXcSPIxrBRPVoSTgJdrQwlcaiVF0NlqpEgCi0arTRVV7Ym4mrGpUJtPSVrSrHoWCkqE1TlvF4yJYPO0Czu0dUhu68npX6y7/2D4PtUSn3TDJ9vc5y/RKHwpz7zbbJ5vg2+zfn8uZDz75pD80Phx2Ax/DZt+ONtvy5Y/qs++23+96fwVePtm9g6v682/KljfJNx9kMosv79cb7NdfJ9HvsvxbclmP6YRP86+9432c/3ue1P+Ovju9j3mv/j/+Di/p7zh3uqg4d+yf1sgT67Rg4rZHOGeoS2PtKqB7a//hk17eBwzy/uwBT1B/cDe2d5cp5pPOdEBq7UI7clk6wjtw3xZ4GaKmyF9+6fM5WOe9UiVKTbwMk11EsYDawrbTcgtSOlc+blHmwkNZkwPUPrjHePiAKbFV3QZPbErrI/V6iFwg4NzacrTi4fiUW4fpih3zvQtYUr4PG+IcdjFaJncYkg3Pk9oX1GrQ1qq/D+Bq2nY/EeUdRWE186musIUogvI+6dR4/H/QBQHWU6QTdbGlV4Hk7YS6I2ivnPFly/1QyDwjWg5A5kQCkhnpyjteflF2vuzvYcnKBuXnJx9YCfRd4N73O1uaUZD/y+zrnyM3pruFMPiBJENNO45JItMz1y2zY0cY4pnqF7IsSGki19N5BmAVzm5zeKjXVsrGeaPWdhHpjxRL0RpjnEpaY9P6W9TjS3CU1g7xwHa/DDyHTyjHh2zqL5HWUDeXN8p+xTgy8Nj/+5oz6CXBfUL9+xXBdObyojEJwjOs9SRpIyjDRM4Tl1oeA8wUNCrQb08x0ItLeV/lNh/X9ewlCwb0cGO2KqockNNb6krgbqi2vyb89QXUK/3MPHv0SXiHM3IFCaTJpF1OZDTFA0ccBxT0NhpjWG91EIinu2UpFFofkg8/iFJ+g56eo5v/j0Y4iBL7w7VmwURbP3pJ8lfFt5FoRCSAA2AADHUElEQVR3O8Epxz8tzzh8vOcwFB4axfOYkGL5RJ5zxYB2cH0xQxRInSC+5eVe0SdFQfAnpyTb88m242dlT1fhWr0g2rdIP9B+uOLi0y1+HdlWePjwGYeuo/5LgKt7bBM5+eIDetmj1cRtM2GfOVg2HLrXfGC+YJme+O3/9FzVTC+V32vH6v3C7ExwuxnXcWQdCvLZCxb1iVYdOHQttrmkaWdcPfsNcn1Kul/wprlFlACGGH6OMQ94+8TLZs6mRPZl4rIL+NUKPVtw/fnntKPQBs1d21AViNWkf37N6c2a08/u+UheUJZ71GrN6zdwqEueWFFXb3BnQnum8f9PZp4VK214lIo5g/a5phN41Au+MOfwrwaxG9Tihld3EE5OeHrvJb/82KDGNSF9wecvhdQbdH9Uz5hB02wdZ0wEL9zPFP/nwwLdVJ4uB+oXv0Kbir+84+M3Do/h9dzid3cMVN44R0ofUr1DziPcVFQ/on51yy/+9RklZD6avUUtFbpo/GNDfv8lXaP4INzz5jYSbMX/THGQSDsafvl2zkfP9uy6jFLwOgkqC58MQrNuUVNPii9YrQSjI8PDI0vfgDK8DQnz8y3KK+Q3P8O5W5QLTIszXpze06mJ64/9/1KhtBeWZVpikuXt7pbnV5H5wjCUD7h9U9gNE/zqLa8mz3xs+e31c/pXN/Qna1a3ws1mwSbM0OcLOLmDZkvzSUsOK1Rp+Sf1Gdu6YqDnQj+QbSTawgMdsb+A5pQProWdeWBrt4R6xTO/5tyv+XTwx5cSohjHhmeq41I3fOpvaSXS18wX8RknjJzrHR8tO4rLKBupY8UVRyOe8w8DIQqHQQjnmpVVnKP46L+dsPCR56d7PvLCbAdXDwonv+YJzVsVObnYINGStjPeU5Bk5LFu2KkrZspzieIp/4ZJtQz6BWX+MZZCUxrii0idLPWLGUp5jMn45oASgOOzNX0QqLYiEzT3DToe707Bj9TcoQ/vUeoOfEWfet5f3+LbyPhzwfxOSKPmqWm4CPGYRwfc95VsDG1uj/frqrmYGvayI+hM7FqOWXqV0Q28Pmj6pBiU8CinX1Z0DSh68ALP3uL3DWqyjJNFPRvQbaZ9aNHNGV5brsbPeRfOOBTHmbxlywVVtfxcXfOuL2w8dLEjThZJhme6Z4swqkrX7ojRkoum7yJdivgswCWjnwg2cOwxEAPhvUC9aZEnj3q9YdZAaxUbjrUKNfDcwC6csZ3Oib////7ZedJPSql/EHyfi5nvK2z4u2z/l37mL8X3sXD8pmTINyVS/tZE1g+Jr1PTfBUx+lX5ZN+GcPg2Sp5vq9j7U6TQHx/v+8i/+jry6fu6dn6IrK6/FUH6XVRSf0nu3Ncd7ycC6j8Wlu/eoSdhqHM2sRC10DBwMl1wkMSu3uCcB4kkPPZxi8uWJjxnY9bURaHOob5tSdmSxHGyGNB+4sbDcL1C14KLkf7pnKkW9mFke7HHTML5xgP3TKGwW69Qz0dEDCIN9rzFx0pzd8tGzaAqXDjQ1weM9jh9xlY2KBKaSHgGkQbWc+h3iKqIn+AwR4vQNJm8OSElw+OpJqs91SZynxkft0iyxDSnLiuKETtO2DLicsIrxWAtOYN7SJRhDoC9f6L2heo1cndKqzTKVdJ7O8qjoEcFPGFZEpXmztwyV4qZgrteWI0TNhf2WBa7gCWz8wlUpUGofkeYKgmFnNxziJmQPTouGaujZCFUC7OAchU/GoKxKGN5ljK2O4CfMJ2iHibyJAiKOrSgIC8PRJtJWnBhTSEx4hAHITWktaeKI9qEu8qc3QFHzQdRnVHGFnmo5NbSTYU2ZQAG37FvO6QWpBSomfMbgaLZeUuXElIKtU7MNexoiayodUQGUBW6aYO4RN1VLuwJkgJRDsgXLR2BM5v5YjqlqZlTGVmbNXGq5Lctp+cDFWF6MLTdLY0zdPMFt+8sMgWc2nK2eCJ7y+bBIc5TVSYrxXz2iC8Vt48kYyArurfC2TRncIbb6S2hrhAMWQyyn/A1cJJ2bO804gy7IthDhMbwxcWcaid0I5zNLNvkCMbAPDFOCXRGGJnPHarA9nGGLzMcwqHesRs6imtoZmsedhVTHaISQqUkxeGLljxULAFxA0tjWXjNu/ce6ccF/smi6xaDx7kTnl8p9LQlv4vs9IGiNVk6hMJmfsrBtaRRweER6shN3+OazKWq3PmGXBuSCVw8z+y2Bw67TF3ANkW2ZWCKDd2ypesbzrfvGGpgQrHuFgzxiSkmCudsayGUNUN/Sukmsozou4CyHrC0twpr58SfOS4/2XIYDYd6ia07Wp+YdU8Mlx2CJzw0YJ/IqlClkFJlrIqtVPS2ElJGckJlD6VB6oxeWlrxmHLAtZGxKh7SK662N0xK8bjyXG4z3Sh0ufBkHLHxNOdz3jw6unFkdnfgZjGSq8c8XaL0I6Wt3F5YTs+vCAPkO5hVjc8j3e6eB20IkijrhOQnmlJ5PcLT+QWxgTQ9MZM7bG55l08ZL54oMpGuJ3IHVYTkB1YUuhHqvWZXGqQK5+VAKEKRjKl7xqE5Zha5xP68R+mG+RtPGCu1ZKx9QKkAFezW4IKiVZXnKXHnKlHBYmsJVVGKZhUD+1wZquJKBs4bw6xY7P0FqRuOhKd7ZHkI9Flxq4V02dLTc/E4sJ5l9k4Rg0WrgGoi786EcggwCqbJ7POCTWkJqwdontB64LarJBuILsHsATkkysEgbYL8ZdabGIIZ2bk9MbUYEarKvLoK5FBZDw6XgWQp1aHrgk4mVnJgejOj1IjNEyVbmB2tfS9VT3Jw04NeW3JQPFnQPKCd8KpNPA0nNCnxTO7YrYRYKnmsGLWhoNkA0RhKm2F5x1kqSIJUYHVvSNmzUzMunm1RJTA9RYr3VDw5z6g1o2LCrg+41iC9EEyiPvaYYJjLDYeTJVrBanfAlEIKcLhx5GAwxXOWlki9ZdCwW8xQJdBlOI0NkREtCVSh4ZiNGAVQoCzoc8daV8YBmrGFs4C2EbPWrMoOpyu7TuF2AhnAk3YNZiycxQ1jDmRdeVSOYiNeJ5ZJM50ODH3gCaHZw/moGBWwSIiNbFOkjEtsboj9AzPJNCjSqlAGxTgaYCLrDKJJaY6TA1ZNTO9OMLGibcI+VMrSMPSa1VOh6AYxDT7vcDLiePraedJPpNRP+LvBX6pU+LHhm6qrvi7D5u8JP/QC/G+1wP82yr3v4/v8UyTJDz1Gvkqd9W3tkn+PY/mbhpp/30TnT/jHQ79eU3XHYHvWJeGk0pfIarOiNIFdv8GaHoWiiEVtI640tGXJ2k/kJpIXhaI95AZVHH3/QGgjOw/ZtfgYaVKk2c4oKkOtDJcDvY7MtxFltog4docTlL5HWUc1HbrTeDUx1zsezSnUSpMLHSNWaZRpIe0RSVRViUtFSQb92EI8oEtFm0wNC1CCcxkZO6p4DkuFrRPoRO0SwSQkN5CXaJfQOuP8AR3jkVRDYYw7lsveVmLyIAq39pSXE9ULuczQCMpFymKCp4ZaFMXsETWnKs2+bFkKWK2oRtFQaQQOxtBOASOahz6jjeBUpdqRnI5vxp3dkIyjaI/Tx7L1pQhSLKISmIpXQnIGsY7nISA+UHqwsxZTE6pkyB1kj+CY+onYForJuMMBqZooDZhKzg05NWSTsYtKmRfKg6JiEHEUNaMWjUyRnI8VmxoyqipGC2OvUTFCTSgTWWwNwSj2VtHljK7gRNAetLIo1WB5omYok8bJgMRK2SlmrSdkYVABeTTYDrpZQe96TJ1o9QFt95AcHDr6n++pSahrQ7Pc0Mw62tU58q5FssGFA7PFQKiORww0mmIcCYPvD6hY0QdI9svqewfHIjcoXaBsmewKpEPEQrSYqujZE/aGaCBo0KOlYngqGq8VrVbMreHBaCZR2DZQSwIS6ID3LSpbSA7lOsQJscKYHbUafL/joBtEaeZupFpBlCXvDSm1aNEYO7Kg4lRGne/xn5/QDj0iT4hqQLXMO4fZjsRtQvJEVIqgPdIOHHwPzQk5ZBj2qCmwd5oLpegVPFoo1ZFNw6ofOexHppiYDppDyezdRFE92Dm28cztW0oyBGnYt5agIEsh6J6h7NinEeNekIyg1Ii7zihnwSnskyCXnumZpf/ikZQcQ55j9IhtI80yklZzyrahrjuS2ZGBXDVZJmLRpOiY9gU9CW6KFDUHDGSPaWYYJXRjQMxIMh2TWvJieMB0wl5bTiZHF6FRigdRiGro/IxHLyyGyGqnCM9HpqKRw4pe3SFOWDfQzmeUnaI8FhyJGQOnYc2kHCIwDIpUJxyKs9owMKeYTGkLs7SlpspNvMScb5EipLuMKYZqFaOvuAI2KurGcpc6pAov1IFHL1QKSgIlWJQWfCOUTlAavG6IU0byhLHbL4O2HXoySDrm/M1q5UFVKoIbhYMIsSpOa+WhCKlUrmRkZnpa41CbGe90YtMmGrOjGzOzAB8tFW6mab1m9TAySWEQTS4aZyPOZg5zIFdsyuhek4eWEGYod4tSA8jIxgJNRXWCPtlSJ0OeNHUm6CIYEbSCagLRjuT0nFwLWUWeLYS1VmyCweQK2RwzCfUpPU/M2XD95FEieCIpe6QUkkrMrWbTKDYe3GCpWTNojbBj4TNn88LT9gxdC53d8NRBzgadLNruKKLYFwU4aDPudEP3qMjZEETT7gQjlkE1zPsAMZKyojqOpHfpUSmhRWOHgD+zVF8INmNliatCq54Y+yVWNLPtREWIRTOtLVP2NOK5yA0H0QRrGOYdzU7wSeiqATmOl6wFLWCVwoiACEqB6RzDGAgFziaHzBKqqZhJ08dMYwoFjv2vBKc1NTToIDSyJZCoStg2DqUzTlVc1dg2oObCXilWB8ssKqJXmCYjbWEMEZtnGIHihSYkZlXYNZqQPCk5MBOmHm29OTuMaAwg2wblJ6wv2J0mGkVWim4N2TqybVDTHu0j2pevnSf9ZN/7CX8X+Gsuwn9M+CHyn/4W/fd92Rq/q0Xu+8qU+lN/+yp115/q++9TKfWn8EMQH982g+2PCdevs+P+ueP92PBVmXhfp4b7MZ/TT/h6fBf73gfOsTuF/alCgnDed1y0LfpfdzycVu4voPmsQVWFiCKEF4iYY4QSFSdPeO4IbU9mSeaU1bPfYQ8Z8wi3lzPq1MOmB5URSQgR8+szbJhwd2v0e4G07wlvzmm7B7Tz6OaMOt5APSpvwovnqBTxdw804YrUTBxObqi3p5AdSml4dYc3mVWCcd/iouUseu6bSKkOF1fE5glkwoaJvbpAN8Ly8oHNCDbA871i/4Gmeo3ee7bzSNYFycK5f4WJht27e0RAVYsOMy7ff6Ja+PTNFbNwg6qZnT5jgceqSmyfOEaBwzHRRJPFkcMzXqkbOrvn7lwIgyehCa8jPlRMUMjD0UZhqFzqQJqEkqFFs/GOqD2X4Zx7DHtVaZpb0kmP7jw/K4mn3cQuRabzCbtz2PH4zjefnpG7BfL7AXW1Rp3sj99zWEBpoX0gukCyCTrF5Qgnk+JaWnI+QcoC3bwln0bySabeFJQ52n26TUfymdgUuD2H5Yg9HfnF5x+iy5bCPddNQ1s88+z5/PKR5UK47BXyr8dQ8NtXChWF9lGY3QiPzxWlzGE4pa1rZBnJF4n8myW2Co2Px/MqC3K65IQNVkYMA3fPKqV36HmLfHSBThPO3RLCHFsjXX3k8heG3M24V1fImztynpjMRJs76Bfkl1f86qM3ZCv8/uen+HqD3TqaTz5gc/Z7rIbL+Ao9v4duROaR24cX1EE4ObxhmRSpeD6tKzhf06jIiwdYaU3s4F/fFxjlmOM2Cs2VwfWK1giz356j1pqtXJOahtwb4isBLjDGs5zvWf5mjn6Cd/6aeBIpfYEO/K2n2WrOppF7LhmlY8GO88UJzjb863qLQ9CmEC5vUbtXMJ4gdeB9XThTkXW9wVoBq3lLS8pn6NLxn/XHvFkVbjqFenPOxcuB+bPMF+WfKe8Ccj+iJLBUC3rfcvdf/5WaCxIqEkCmFh06PrAL1GEDw5qV0uhninKh+Zd/+znlxQb13hP8939Cpy1O3fGyndiedjycz7jkiXqdCZ8J62Vlls44na44lN8y03NOzBW/qYoFAy/Y8FteUO2IdQ/073nCzrB/a1npM2bsWPKOd97hLxznHzR0v79glyxvjeL5w+e4MiI68fk/K9yoefZ7zSiJYanZvNfyTx9PhKnlY7ngxX+5ofSJewG5Kywn+EVUsFds246PXj2DTyqNMly86tnev8HViZeLin3I7KPnt+WSpl2DnRjdSJtatJ+RXr7AvbtGS0RetJx//ozZvjDjt9zUyk48W17yWnf0GorfMc9P5Ar/s75GJKN0oG0e8WcRnGO3/xWcfY42W5pPPcLRkKyAZYi4WnlsW8JposwKulFcvn1J+zTnk3IDeoE2jsa/41VOLKTyb94T+0TpCrNzTac6bHJsPg6cxsSyFLyCd/KctTnn1x8UynRLPjzCRrirMx6ZAR79eot6sYMDrG6FxT18Ludc6YkrPfKR95yqwpkS/sf8ffJBMIfKfzq1bMuOh7ilGUd6YI7Bq/dRZofoRz4xDfNiOU+O36gLxBxw/pH4XqQ6QTSU/zFnkXrO9ZxD/QS/SMzONfqtYuuFm5XQbFtWqfIsZX77MyjRYO8dITxnvhy5en3Dp7+9ImYDvtCywxWLi0ssb4GGygum9o5YIcYZsrrDqEobGy70KZZMlRv84j2iwO32nmk5B4R2O/AHG7mgmCaProUVO2LbkDvHdN7TPIyY8AcyRqhaM3lPEyNdzpzHiAWS0bxrPGEWQAvtpiOcnVFbDXwOQfATvHiA8bUitJr4puHIaRnCdILze7TOTNMp3u+wZgKg/fKFz9B1nMU5s+LIbFm7ymCP5xBMRNnKz2crbsOBTYx0qSenE7K0yLNPeLZ1nB4sIhOTzBh0w8PzB5iBsob6mwvasqXhQOr744hWgAj5IpPPCuH/Cn92nvSTUuon/KD4vkua/7XtPl9nG/tr4rtY/P5abf9rK6K+7/P6JiH231Q98+/3+U22+zb4W5Mbf4nF9+9NTfRNFI3fpoDDT/iPjcE5kqqQCvNBSERuVEVfVVQSzt4pVDwl+khsJmzdYHLF5YxRIDqTjQcF1lSsjQxPHSoqtDhq2qIQrK9I8hgMRrVM0xY9BZoQiI8GlSvO70h2giqo3QhdQGeNG3sW9omchTE6lNmja2S+rrTVkH1hN9uhRo3GEaoixRNyttxJJeQeaTL57JGVPYbxbovCbAJaFOngMQV8FbwqJH1CEoUdR1bTCRXLtkL0ESrEOOeCHYrMPYb7xyXOZy5Xj4SdUKNjlh3l7ECxGQ4Kk472iN2JouRTVPL04x0Hlxm0I4xCKRolMH9bCVYowEXKrKVj0o77WU+dH9BEzHWl5IasOu5qxKqOE+1IfkVWI7lMXD+uiM1E6gv1oafMCswq5voS2WhkP0Gt6L3GisUtE3EzkQdh2QVUBZ08y5hQecGmzKh2S5VEqQOLGDB7UNWBXlEac6xw9+CweWQxjeyrQ4eM2UVuTx8wIaODI1wU2E/odURmF+gkuHeZez0wRcHdAhVUaSinPbIPNKZh1nrsLhEPlRHLZZ3ISjGgWOSjzWgjgag6KhqNoNlhp0C7zbQnBZULHCL3V3tUKLh7iPdC8EKwQmcTNBnVa8p0ijItJk5sS0DHzNlnlXKeKN4wvIosNhWSZi0W2kQTNZe7Fyy3AzIlTrJnXRpGaUB1nAyemQos1T1bY0gVXt0U7mLDZECdTfTrGfbREP3IOjhQ+mgxPDnB+ZaLa2FjImJGLp9Gtr1jmBtyk3Fi8NWQ7wVphdhkdjeOVQmcVLiXU55ywBDQekldCLUpsNOITJjmDc+nirqA7ayyuFU8tTBY4TRENlWYiuFaWw5jB9Eiqz176SibJS/rW/Y2sT8phKeOoHcotcNca3QFJQZ7mkhTQxqWPHC0CXEChzPFws6Z5QUncse0OQYaN+Nb8qqhnD3DvR2Z3wdkf8DwDG8L3YeBndlAMNSDwTwpRjcy9LeoyRP6yvVKkz7fId7A6SVhs8Zlw7Plgils2OvCZC9YhgIls2bArx5RWzCPmcfaoWYOLgeynmhqpVXCaCpSPPK45HbVkxuoDwPrNzP6VeSDZwfeTpeEUbiuW/KyRXea99wj1yeGnDSH9cA0VEKjeHdSkKFgCHyYn7hFM1mPPg+c32jUqLl+p0mHBZ7C2XXLGBQHUzEzz9QkUq249Y6pOgqaxIFBC0oZTrVmXwxJGlI6Re23uBbOzyphVylTRYCcl4gyyOKWbVPR2RDGU2abNeYQeDIrNgfNQRKoOawm9HzLyTzDQ8uwtyAB1XXYmeb5u5HdIrH7Upmy64XBKky+II4RV97yppxyIoVOa97xjPE0oOd77G2DqHSsbKhhUI4slmdqQOnKrbGE1PG01ISl5vz+gclUplN4N64IGYJYyrkCLShVeewfMbuAeapUIxxoiGpJwdH6ltl8ycNTxPaVbg5bNSebyt6uGU+F0SoOVWisZcJSgyWnBYcauXM7yrSiBKGGCV/uqaPm9vYMpQLOCgrhRBLFJrZ9xo8aXQVRG6oqKOWAFpc8XRs5O0+MZUPKhRSEF4dj6tRkAxeHE7wS8IltNkTtyH2PZQLJHFrBjwvcZKmbAZ3rUV1sIr54RBvoF1A2JF25P3e4LUg0pNBjzgrKQVqfIXZC6Yh9cuRZpsxgtzXoTcFsFTF2GBNRShAqqk9oH3F1z3IVcK1wF1eowwGdArFPbJd7JnHEG0+RhNGZ1UlmrYUooNcjXSpkgTCPlJqRWHGDJ4ji0UJKHXlZkP7Asx2M0jE1HVEUySyouqe4NaQOHTtOeWIIhTjVr50nfW+k1N9aifETfpz4vhZnf7A+fRML1F8SAv1NMnp+TAqjfxT8Jf3678mNryI6/hQZ+n1lpf3x8b+paujf//7H7f6hlU1f1Zbvsp+/FF/1nf9YxvqfUzj9Ofvkj6X9P+HHiWgMpSgIimbKBFXY64LuHfOnynJ9tOBVB6UPqOmAk4yXjBYhakeyLcpktMkYnRg2LYhBKYfkNYaAs6CyRmOxyhKmLTokbCmEvQVdMX4k+YREjZoCMis4pVHF0tYngih2qiPbEV8T7ahYIgSTGbsRvfVQDVEpSmkp1TBKwlcHWkjLPVbmVG2I9ni+OmhSsGgFRiqoSlItsSrUdKCrLVJb9lmT/C1CoeYVvQJFJSvY7z2NhxeXj8TWI8rQCwx9oNiIPhyzgqqBqa3oyeGKodNrRu9Jxh4VMvKlBe4A0wyKFVoy+kvr5E5bdJ+wupBIlGooyjKqyJlydFpTmhal9kgaWR9W6EbAV9StR88ndFeoNMiQ0TVSbUFHwYqhOU8UG8lGsE2hThayZRYKIx0jK4zdUomICCYLdTTo6tFtj1KOrC01G3TRNAiDUuhk0INle7XBGoMTC12kxMpoBWue4waFeSwcukiRSrMHsoK2Jc3nyK3CYulb0LXAJMRiWRIJyhCloSseVRUHJopZUpVCqYxmh58S3Tqy/FmBLORDxs4LGAXKE3aFYITsMnpR0F7wXiNmhq4WN4wMpWBjon/ITB3IrFIvArPHelxwqkLJhao0Ji7ohy2kiFMde2kZsVg0s9wyVxajH9lrTa7C843wWBx0Cj2PtGuPO1iCTiQMtTEY3WHansa0nF9rgr8lqYE2JW5fRfZLi2kLdmrRg4FtJj2rpFY4tJqzWGhz5m2dU+uAShNwgfQCfcXfG3JzjXJrFlmzn2umlWaxcUy+sLWVkwTWCoLw1GhSaFHJo67WhDKj7ltel88pXWVaKfJTS1EjExH9qI8eHyu0zxSiDClbdlLBK9RMcbgExoZmO2fu3kE2pG2DS2uquyCdrJC3BjsWusNAUiv8eaa7PODriNKWXBVq45hs4tBuaWiJM8uw8vDFAaUXlGZJ3jzRKcVJ23JdbonaE/wJl3Ei1oFNCJS2IkNBj5G9ek1tGtRlQe0DJlYcgtVgi8Vt5+yvIkVH2A7Ep46uKFarxN20YIqFR70jdw3ztvCiPrFte4IoyiZDasit5WkWyG1lXiuv7IG7copoQ9NpegeEin1MiPUYFN2TZW0So4sob9EngkawYSCOK5Iook3H3KiqWVIYqyKJpagZEke0zqx8YBsg7C3JgkhDURbVVUbRSHKw72gPOxo0jywYUaAKTllqv0edjPiFkIMjJA8pgHeYxjF/jGxNZTAFXy2DU5ROwbSiiXe4vOEpdfQF5uLZqSX0DzQnEzwqqBUJilyFKJakPJd25GAUW21JtSU3nmlh+PCLT9C9kDrL03pOrYC2lLnFaDCi2Jwcjt9hVlSnSNoyuAZJBmstXe9RtworQuPB0FH1wGgP1FNFrZo0VqLV1GqxoaGUlkkpsg7UaQ6hUHPBmidKadlt58xZo3ShAp0UJlOJXQQ8OguqHr58Oiu01jTF0Ith1VU2KTCoSgkcnxlKyE2lGyydgrJU7KqiGk32HY2bQITQWpqxRSeF3Ue0hWKErKBB0CiU6UDtKRqGlaFNoKuGwWKsRnko0qFlA2XEDA6ZCWKFaCzdoWIKVN3itaApKJVRNqN8wrgBP8u4TlMOnhQjmkxxgdgXikpMNyuMAe+EplU4pcmlUlPCR5hhSKYgOiNScJOjUBkN7GKDakfsfOLqXh3nH6UlSqE4T/UaZdeQDLV4PMfsLTeYr50nfW/2vZ9IqZ/w18A3USx9X6TUH4/pH+O4/rG16S9ZmH8XkuTrcsa+LSn1bfHnKgP+8XZ/qm3/EUmpr2rDj4XU+SbWzx+q/T8RXD9ufBf73oUxBH1B0Ge0zTuaHPCpUPTPyeZA8hvCe5ET13Kqeq4/Hii2g7ZHbR/IcUYqK/yrjykHS3qYodQZ1g4498SXZYRQAs9CIGjDxrljNTsEJTA0I+Isyjeo5YQZNO7WMYwWo4W2OdY4L/NKvEzUuwYbFE0UZuNE1Zqh9TTjRDKG3WxGlzKSDSF0/KpbU3XlHZYYFtQ2w4snmrsGnTSCIIsAAnrXEC4itlTO3grjh5pAy/jJJQu5xumE9TOW+Zjd8c577DShy7EK1v5KYVrF66iwG0dKmmuniPIMweD1O7oQaSlcnCn2Z4pRKzafeqbJI6Lo2sBkA9llzEKzLNBECDeCVuco1VDLG3LTUOxxDqwAHMh7Ag8gO2H0Ez47bLEgisuS6CXzb+fQbU/xsWP7i2vs2tBsDR/EQG2F0MEnS4fZaez+eO2f5BOWZU5qf4/LFZ0M/yYvKTMNfaUbHtHRo3JHYUF2UGyhkXekpEjFMHtvQyNCm6C7h/0Cdifw8gtNW86x6hn/8vo39F641I76+5ZtH7m/GMGB3Vvco4V/f88DFmXGZT7lgMHIgUY98NurF8TeoGYF/9ktdpjwIXJufoViItYv2EolqBWjep+m+QKl0tGupISuFM5TYvinK3Tu6D/2XLtrojraBH2Y6ObC+S8t7rdCPAiPVbjv5hSt6STzUp5Ta8+nyZLrPY3sea7WxKujLWZ88phpoqrCbgHsl9BozH/a81wrusHAv8xxv+6IXcMnv53xfviclZpolpf8rp94qhn5HHybaHzmrJ94OLliNC3+kztSOqdaBz//hOdPl7T7JZ/sO2rdIDIcbVxXhqa3/NPnM+7sho3fE5YTbnSY0BKnl5S6pcqEUXPs1Yg5G4l+pG5PUGNPd/KOuK+UvfB8A4fXLcNFx+n/Z8G+TAwE+j6R5pEyz6xmimmCaTQo9SvsuMXGR+IvIubJ4B8tz/85snWnPNZzyv81ITODOrfo2T0yOmTfQtNwudvxcrPm8eQ5u9KwSQ43FpTeovw98bWi7meodys+lE85MOdWPaPxb1lKw3la8cbf0ovhKs/YvbLEaU+8u6f7lSZGw+bG4ceJfOYYfznn5L+v6cfKQmsWSiEsGOUVafV7tn3hetHz3id7SlxwrX+OtZ9Q/Z44C5womAXFaq2Y+w9RUpniZ3Dymv3K8MnLLeVug06VVnvi/WvaIvys/5hPzyEneP4RqF9ckKzh/tMt8SpiRDj71LH49Ql5AZ+MN/Sfv49OHfsPdri7HWY4PitivKC4Bj48cLV7YjFOdBvN5++9YNu1+E/fgoDxmuVrx1rNGYOl/mbDlTrQKeFzfo54cDrys/Apt+cvWc/nwA2qG1Aq4T/x5LNM7SrtF544PyG5jvrFI95nrIUYX2PNE9ZsEaW4yqes6ozfubecEZnXym/iB1ypkQs98HsfjxX3lCacPMdOe8y0J5y/QhqHscJ7v/03tuWEJ3WBYJFmj7RbcDPaqaE7OGLzOSkZYvAIif5SmL+E9b+9ZLbccnp1zf1nnloUoKjTC9Aj2j/x8rXHuoQw8NF1oR0Vz0bNp/NKynP0eEHbPtHWhnk65eb1JySJ1J3w872iKMvDH/gLdTTcxVcRlRX+xgP/+zb3Iga8dMAV1yiUDCzlLc3Vawaj+eywwRxOUdqjlppi36GTYB/PMP4JgBJOMM0GLSN2Gjn9wFB1x2efveQFb9EIb9V7eHcHdmB0Iy9nmllVyDXcvobiFB98orjzlkHr/3UP9iK8CJEiQjKep9X7XBzApsTn/hYTJiCzXSn0XKGNxt+1X7oMjyd55hMzXchP8PBCsZtb+Oh9rF1j2z3qg8jZ2xXzxxbrbrhTli0ePc05UXtaNfFRvaD2W1Qz0IeOk5TpcuWjModnEXueebm+YAiBQ5hQCGel5zT3/L/D7//sPOk7KaV+mjj/hL8Fvg3R8MeEwbexwP3YCJ8/hT+nNPq+SImv29+PEX+ttn5fGVU/RJW7r8K3sdH9YbsfsgLf3wv+fT/80ITiT/jHg1cK0RPVbfCXiX6n6NaWe7OlmISIot6cMLqKNoHQRlQBM1WkjWitcFHIqqJMwfuIS3/wXgEoSmmotefxYkTHQLOb6JQiWTh4gbEFsdA5ZOPwU+I0BUKbMNLi8wnqqhKlEN4F1CwcazonzeGFolqhmEx9ewoVmhIp8wSl4EWxUYpj1GykmhGrhXmG7aklR4VZZ9RkqepohaibBlVhdBl5yrRUlo1hH2dMLjB7FtD3FUlCsBN4jc8NXVa0JaODYPeOzVwYXSZZRdk/IsEQpxapC5KuSNgy3nUkjlWEzueCUYptUiwiEC2bdMrY7Uiq4NUFSKDUHaM6py0TXiKTc6RsUFlzed2zLXsGG1D2GXU2kb9USWy3hjgqllshR81YNfbJIkNLTA2lWTCVHeN+xKJpph6fWjZAmSdq98DDwzmqgNIgFxsIHvYeEMp8giZxiSIOieEQGFVDnSXMfOJ8C2RLEcN0EglGiJMwrCqHuiPVgjpo6q5wKJFlbfBR47aWkw5yVEwiLHLGfBnC6xYdKcGbOFEuR1QCs5njNo/oCcpocE2DtDCqjLrXpOx5kAXiAqIqVj0c1R5SWZTC/WzG6B3bxjLoGW3OrOSWkhdEKiJ7lKlgKvdFcSGFbIVNL5RGo4vHrGcYtcWZDSdLxXY2YUthduOwu5ZRaZ5iRTcBpzTPJ8dTdQiKKxTDbcs+avQHIxcm0gyGi7DlcKoZbIff7+mNwmK4dR25f0KaxKOFZi00CLuXFskKnRX9uzk6jNQ00VVDQ0KrwsZpVsXRTo5rDIPXJO+Q7QqXAr5mpsUtszHigrBR5zAE0BWuwIcDdpNI4ZyFJOYl09ETxUI1NM4xLROmgWdPiXWu7ApcasXOCRuBeLDMG2HVZca3QlCFMq/4zysz9ohkmloZy4rD2OM2I9EOBDewfGpQ08SmBPbqntDNYbYgqQd0M6EWmXKoyMGha2HjLKkLqPktJw8BpRP3y0QYZjgcxXkeHw+UWtDOo8w5RSImrpnmhgbHy888+eocQ6WJlcd7x1SFQ/PmqB7cw/wwQCpkdSD7TxHnET2jphFpFEnDpgjr8weMhzbBeNgxTgqJI2q/QteKPd2xqvfoIrzVlXon6KzZOsfp4wHnIJ1H9KQwaPJrzaP1lAHad4XsH9CN5dltQgZLzh1b1eH6gcZtSU9waITcGdSTgs0BPyRO4oyN35NlZHGdOawWTMbim8RBFwZTEX/DWbEsMniEJWu0PvDUjuhB0IMjhSWiA7pNLBaBcR4J1hwDzNGAQ6rQU1noir46x68TaX/L6ioShsx+ACMbDBFIxLigfKlqretKypCLok43tEHTCNz7TGr2SFuhWNrgaKYVGwnknBmrQQtoXWiayDIFcq4cDqDNAzFP3G8KVYTOeuau4S33IAWNcLgZUVYozrMa5tgUybLjeVgholHqiYeFJ8ZKCDf4x4RHMAnW+pyMIyaNc1vEanLXsXx8oKrKYRXh6QyyBhIbI3RSWOQHsJYo8JjPMP5Y4KMpR1ubJbJUG9ZqpDRQXzxSn5rjg/75E/pQqNUz9Su20x4xCvX6wPCk8KXyrL9lCIkIqEbB4ZiJFWXJ/MmgtOIgmi5tsU3k8ZlCHubU0fBkt+g+UzxMRjP5CacmkhX0nWADXLYKN6wgeQ7TI1EtybqDHtZpYCqB85OjpZxd5qzeUXJLnk4pd4/kMZAlojNkDBGNdxMHJUQx9GWLDRFdYJsNOwXRVqgdpjTYKbMPEzlnNHCSG0RV7u2Br8P3Zt/7ujfHfw8L/J/w48d3WQB+08/+vY3Vb9sn3zdZ9WPAN7nXfJPg7e+Krwrz/ksVVH9N/Lk+/GuSZn9rfBPl21f976s++22J45/wjwejNdYlmnaHn1VcsDhlKfZAUXJ8j7nuiCZQXSAtKy5HzFQoi4yyYEpBiqCoaJfwOVDEkmqDoYBYcp2z6zUtwrwcaIw+5o3qioo9Yh2Ix+4NPo20ekC3GlUUZmjQi0oeM/JW0IuAtseKS8PcUJsjIVZvumMlphxIvqCKYExmL0d7nrMRqyJeKebRsls4RIOSjImGqgvJFdgbajXEBtyu4BSsWsWQG5Kt6OVA3R2rX2dXaKRFY3FV4Wv90tbWsD+fGOblOKFNByRZcj5DXEc2Qooj6TBDMDR9pG/Ba2GboC0aXRTb2JPsRHFgzQJVBiojSZ/Q14iVilhDLQaVDf1Ty67fU5qKN3NqI9S2YIpmnAxxEuYpkytkqbiDJ0dPqQ2hM0yHkXE8kmOuNjg1p5Cp7Uhd7BhvX1NQVFeR+RqSgtEhraK0CTkJLKJjCiM1jxzcJbUVzEmgv1PEZAh48nkmJiGPimFViGVijJH20FBy5ZATC1HopHB7zULDlCGI0JdyrA6lFL6xbAU2MmJmewgN9bCkH9eoIKjgMJcrsoeoI/VJEathaxs6W9FKMGzAgKmVrhTEWmLbslv0TKJAJqrdUMvpccEpkdIqqi2EUJhLJRvNMFNgDDZamtogbBA9sWgK44lGJ4u6aTBjh0GjaiJ1GmOE09FyUIaq4FQ0m7VjlzX6eeQkFZooLGvmujtl9J5+u+UiO7zy3JkGcZCaSjKGi02lKZntC4VRFT0J/t2MWtcUmehF05uK1orBNcwrtFFzI4psDGIcalhgAGMKNDuaVOmSYe/AVoUOGgR8jPihME7PadrA0kZQK3QRVKzQCHoGdgbLTWFC2IumVYpiFRFDXCvaubCcFdTvBTVTxIVGXwttDsf8OAzrOicky+whoeaZdDIxHwJk4SAwsSMbjTQtNW2QWcGsQN5kJCVEBw6tRvUZv9jSPEDSmbENMJxSlWfyMO0LoireW3KZIVlDqsSVpymO5a3l6T/PwFbUOLJ56BnUyGjvcXmGnSptGMhKkZpI7W4xvAYcFEVVjmSE6DKHxRbbK04F9oeBGBQqVNTQHivKnRxY1QO5whux9IeMyTBYw9khY5pKOc34W4/CkK5gyJY6KvoHy/jqqDJcfA5ZZkQsB93h7AZtBsy2IZ4LxWpaBTUEbC40egZOKDpjnwy2E2wHps1MSiimwuyJLjQsgkGCopE9UmGrPXqwsHFkPEoUBkPTJcRntJ4QE0i0FNEolfEIvdLYkxl5fCAOW2ZLuBPFOihaE6hH0zI5dlQykEAlqhQE0GWLyceqco++Il2AWYHqsJzQTT2HdKCU47hrjEXrgiqFRUnsc2VzgFbvyCUzDkIr4Kxm1nuk3qOSxmTPMASqsmTdcR7nICNBDlzkDk2k6AP3fUvSgaCesHuFAZzWPDQ9RTwqCSJ7RGtK09DsLMVE9rNCrR2SDTCy747n3pctYjxFGkKZI2pEk2lyoeqMMYVebzlIoVqo84ysOwDUco9kD9VR5gsO6wImoi5GwnDsyot+R0gNVIPWmjxCmgxJdSz2Fq00W63pZY+momaWsvFUZRmMQbcgjSFnITUTyoyIrtAYdFXMLTS7DoaGWG6JylBNA1ZxmAoxCWdnEYmgomLFwKF21NSSnzw1TRRJJNGUaqhYxE8EBaFqHCN9FlxW7MQQPGSrMcliM+jJMcU1IGiOxUL2KrMz+WvnSd/Jvvdt7Ax/zwven/D3i2+6SPxpfH59H/xQC+jvw773x/v7Nhas77MS3nchpf44WP+74tuoCP94+x+zve6viT+nyvwm18vf6pr6CT8Mvot9b7VcMjvNzFaV9qMTHvOMBzp884ZkJpJJx2o30ZKSBSwnauRMHbhrG4pSaIH3Y2DtKm+aSp96apqR0pxL3hDsjE3zDBn2WDPR+Ilp2aFzwQ8REUVhRpYLPkwwrTbcvHdNfXgPGyeadMN0pSlJqI8C4TnLnHmRHviEc+KioF+tOfm9kKeGDSvabkBEE8OMFgeLQHz/Fv+2gaEnpWfMJKL0RPJPvEoJbxVp1XB7qIQC6ssKPbYa5qFn6QdMm8jnkTc9DArqKPzswWOD4Q2Ks/MAyvLm9gW8d0vbjLx3D2+mC/axg1Ezf+8e4xPbj85o2xbdG6YXE/52jznEL10NX6ofv6wUVFVltCNN9rhqERQ+KsiGjTqlkYRTCekGwiygmsyvleF2c8H+sOA9JdyKZm0L6tefsnhXaR4N95cfYMIOm3fE9yPtTcHfC6HvjxX6ljMwH3O+L5zvBdaa/TPYnys2/3qOlBbEIfKEuhww5xOvPxJKFoKCx18aShBkX5lNHTk6YrJ0faCUGbEsUe99iuwM9b6l7xL1NJMvMt2/vkDHAcMDqw816QDTnfBCaw7WcuscYXHFbBq42NzR6Q/hdCK9uuGTz55TY8axI/3qDHVo0R83dLWQT3cMP7/Gf+TQ4WjfTB8mqq4wCP6hoU6WabKYnw+otqBEcNcN8zzjVfuMj84qUx5xN7dogWJapu4c1hPzMvILv+Z3Y0epwnN94KltmGiJ0ylNs6YHXsVzfj9/Q+pHnp8aNrfHRePVyxl3NwPjwRDTS04/TPTtiH/4gndPM4oYfvZix10D+2QJH1/gmwO6L8SfLak3j5jtyPke2meXyHzBm+Jx2we6IfBBvGCzvGPfHBh2X1Z3FMsyvGLtK6ONNOWW1M4ousM9OYxdo5s9/r3EzJxgdc/n9S3n7wyLh5ZPmg+oswlcRN16rN1imh3xZcBsDX5vePE68KgbHvGoMHHaeJa24bP/cc7pyydOXj/w6VY4313y7HDB4fITmtHRbjvy5oy7Dm77zK8f7tnpyKPP/KwLTNOK9eGMsb0h1Rm5nsF/WdOYA03Zsd1DnQQZYPZKc7L1XHzR8W9tw6xMvEpbWH7IU1N42+755X6BmQbi4Y4C7KXhri6/VH6CQtGYJY4DTX3LyCUzHC81/E6dM9RAKTcoNOokoX8x8PzfhIzh5pnHjK/RTcJdfUp4qIhRmOea7v/O6Nijrt6juf2CHBVP+j1+LiOi4PeuQ//sC5SacJ84Xl89Rznhs/0nqH2DKEW4DKjxFzAt4DHDzyaMLSx+UzByS8vIc2P5TW2YxPJPRpM5MOjIJ7OKvjxHzTxaPyAIBI//159z9mqHXQ18Lo/YO4sOmvg6oizoovG/d9gQMUWhzC8YxBJcQT78Hdydw36JvjK82t6xHNf8z7NC3T1Dj0ua5hrXn2K7JZxU8sMjst3w6jRytz3jcXeKUh5nHzFmxzi9wNodttkQf54QLSCwKCvCmIhj5P0c2R5mPE4LeDFDzyym0Tz/n79hlxqe9AL9q3PYVriJdM0N6ML/mvk0mdon9KalLi3lyuI+iswnzWl2fPrPO9K2p35+Stc+UooQguGfmwNBK26NZXoZqblSN5UutGg5Wt6GZkJXTZOaPwwoUJDeW+KnyOrTR+55nyQWGOHy/lh9b3esiNhSeUbiWnmownmIvLmA3LbM/CXNmxskJfZtw5c+eVBCeq5wvvIsRm7fvSAGg2/vQaAWTQg9Si3QRvD+HWHy+CL8TH+pJLJQT4X70VFSy2V6wfWLLdmNfPDphrdccVANvrnjMkXaUljXQnn9nNJ3xDe3KAFdhfk0EquQlCLN+j+4+NBKiOkcVeZ8ILB2j+z1yDid8Vw9sVR73jYNNi2wpWVo74/PxwrT2HCpRs6ICCs2LrO3mcU4EZwjuP+tdxIlTIsJGywuODabzZ+dJ/1Ufe8n/N3jzykbfuhqbf9I+CpC5K9VUe+bhJX/qe2+an9/S3xTZdGPoa3w42nHD41vY9/9c/j3WWbfVnn478f1fyQF2n90XOZMPCj2xSD5QJpHZLknbidqV1C9Jr9dHd9mN5F82pJVw0AlDAFTe6zMebJPDH1CnwC3oE3CsSdgKLrg2ZBOeiQ5Ymgx0wBZE+MC544V5ax65FGW2ChcbmA97JBSqNVRbhqUVHxJIBMaQ5Ez5kzEUIiPjrEsEK3wNlC6iDhQvpL2KxqEZw+KpxopFow8MekJfEJOMvdB0yXF2T6ixSDiSGmOtTuKqgwuUF1EAfnhFLedWFmhaR0mF/LRP8Fm4xE0Vu9QG9DeMrnE/LCnTwGjFNO+EI0BLCIjUjJ1mpDYUWNHomDMhHaZNAMzgiqAFkpb0CJc7BSTNiSnOcsKy4SYifWZo7YZqwrlplLMjrQK7J8qndK4Cpt7S5VEnAuyq9ic8Opop2ucYuE1OfVsN5o4FVArQjywDQO2CHFvqKK5rHuUjIjSrF2hHSvdHazPDUwKRoXdKIiOPDmC29MaxyJ7ctyjZc+SRJRK0orsC/QJnTTuXQfLDTUWZPLs9hpJQvbwoBRJKQSo+YFUEiOVurynoolvZzRTQ20tnBZE7RCfkStPetpSdYZyxtn5jnoobDaGerOgWkF0hAKIQuGwG4MajtfKUiucTdzFR+pa0EWT4yW17hCljmE/WRGM5k1fKFKgKHY4VqWy1BOH+SMuBkyBjdxxmmfo0NLvt+yLEJRwJxUrLSdovGxwYilKca/OCH7EloDbQ78TjGTqcoMLhhIa7tcdNjT4UllKix0glwHLgWod46Ll7dYyGU11wslVJj32pKlh+3JHHwOLkLgbNUpFnC1oq3HNiPGF8WZOpyxGAXKFcQX3ukK9xY4Rs81U26IFVOjRYYQ55IWi3J3TzCMns8Bhq5hcR7VzTuod5Qnu0gk5CqSMyjfst4GdKbAUapcYp46677juZ7hOOO0nlIU4jRzsPcQKkql5RL1pSAuNLB12v8dODS7MGN9N7FIFm1mdJkQy7yJwECaBasFMa5wrmPc972JiGBxqu0Rd3WG9ozFnhPAEGdrymv0eDrZyu0ikeoOKBX8olLNIZyrP3iqGpkMqvHiKPGZBDZpF8JCOVdDcviDFkRsozZqVzlQrPCxvKLuCyQ2zPGe6OUGpgT5uWTdPaGM425ywOROqLjy7C5TzJ2gHTIigoQKTE0I7Y9ILUnA0cUunM4eLC6Z9YcoVfAKr0BXm7wqDnZF0Q3p5Q42grivOWhZFcLrw8GCpp8c+q0A8bcAa3E3BSKVNlfF2jhsctgh5v2YjIwdfsZPDzAf0KiHrSpkESRXyE70W2tMZtyYwKoPWlqvnaw4HYb/rERkozsLsHMwTkIDMZEYktdjdDNOM6EVFn+xYbQfEzinzOduTK8KoUcmC3jNvIquTiTDTxADpUFhcFoITDlahtwqRgpTMLHm0wNpmyu4MNzZ0yrPIiklV1r6wKYWohMlU6kOPLZUuBLLWx7ccIiymIwdTteDmmZIM49ZjHgOkSCoV43d4q5i5wOM4pxRFSAprJ4RKzhUnCmxDPllxMT0RJthohYhFGYGqKGVOrQqRyPx+wPjMU1cRfaB1hotGeGgKqTh4nGHUiNERRGFtQWzl2hVOmGGVYRMmYlVoMkbuUCYgLlOd0KXtURUtQmkqVSqzSfG0yQz7SJkMallRVlGmU1ptaRRkOZCLo6LhZEclYXKmPB2r94kpcPHEWCZqgWno8KpQ/Z60StRYkQycVPY1k7Ig04E0E1IL2y86ctZIVVyoiWEBQw92sPgg+BC+dp70g1bf+4kA+Al/bfyli7yfVH3/Gz+WvJy/NHD6u27/dW34KtLuz6nvvqo/f8j+/SYVJb8K/5Guh29Ken6deuybqNy+rbLvJ/zjYFYKZbQcgsabALOAPYVwqBincK2hlBatRozL6KVGlGOolTiNtFVhadg6Q2krvj0mhaAS2iYKGkXF15HaL2C06IPBjzty1Uy5xfiAURlbtuxUyywXTnbCOB3I9Zg7wq5F6ULTCNiAoSGpJY3Zo6SSNw1RFiibcd1A8BlawcwTyBwTYHHQPJpEsQEnWyY7IZ1glorN2JAOipN1QTyIaEppsXZAdCHqRLIZqkV2HR3QeGF+0ZHqSFQJXGHYG6QqmnaCg0DUDEvNvEy4clRR5UGTsCil0HpCqREZJ0gzKB25ZrROiMqUBnQRiIJGU01FEHogaEtRmqUUdA0UNVH7FqyFUolDIa9GSjew3worrZlrzWHtqTNNmQlyXdBSsLZgssJpaJ2ijpbhIMg+o3VPIjAhaDHE0ZGTZc6ANkLVEExDFyt9UDy871FKYSOorcbkBnJDabYYo5grx64UGhKdHtlnhVFC8pnsM3rw6K1Fv9xRtaXkjnEAEJSrbP/X6BUoO0oVJiDNtpSpJd8tsU5RvSafOmzcUIG6KMj+gCgLeUU325NrgbVBPzZgBekFXY/KQ60NZjDH/CwNs1YjqnAfNpgE1I6pnFDriCLj1EQ2huSEB6fwrqKV4SCOixzxZFRXUblQc2WQiVN5gS8NathisyZYxaZkntWWmSh6NZKrZ8qGofaUZsKWCgfBJ1Ba0KcRE3tSMjBodGywFbzuMCGhUqBVgbg6I7mOu6liNHg0s3khrA1KLPfLkcUw0EvinSzxOWGJ4AzWRawqrB9asjFUA9RT5MWIXAy48QkzJMxQSW3FlA5dHSWDmit0p8kfzzFqR+9G8l6TrWF0jueyY7ObsdktsWi02iFqy7CrpHmizCo0O2o+RaWebdtx0k6czDKgyBKYSqBNLVoKTgLqvgU8snSYIeBDR1dOOdzvGd1E7gauuomRyqMV8kFQRXAJVB7QHahTxzhkkhj8zqHOI26maZynrEdsbLDpDCl7op/YnScYd9gBTPTISaRJwuXn8NmJRwosnhIHKkoJ80ETrSNTsGmkdA21UUS9w6qCmIrun6hBYSi0tRCeWrQIHY88mgPKeJ6HJfumoHVisVPEyz20B9wsocSSsmG0htCdUXTLIWuu3I7WVYZlwxQtUQzaFFQVTKw0a2GyHukc5b1H8mcddm3x3tH2GWcFuzWkTpAORCzMNHQGbgJGC0YLYdfgRONISNywN5FqoY0WN4/o+UQ4tKipwhgocUNz0jHvPZ9ni2CwGhZnW2JuqJsG9AHlF6hmhknjHyStJCZ07HCHHmME3Q/o+cDsRii9IlTPZjGnolBFsOWJzhxY9iOHfn5UMo3CvI/HR44cLeZIRUqlz4pYhZ0XZD/DJkuvFbOqUEYYbOEwaqI+upr1tsXWQqcKk9dUjsKl2QRZC/tG0F2hKE3OHrsJUAtJKbQf8E5Y+szmaUnOlqISzgREIGSDQn1pNV6yeNqhk3BHxlqDMYJFSPlYhVaoNBtB+craaFo10VnFqhW2bSFki7YOwxalJrDmOAYpbJxipjqUWMacqAJaFcRt0FahLQQvGHXAF02SnmwsSSuaXCmHRKzqaH12FRpFVrP/H3v/2SRJcibpoo9RJ8GSFetqggaZndm7cu63+/9/xCEzwABNiySLDObE6Hs/RM9Z7CyA7gYadFpFSqQqs8Lc3czcw0xdVV8a47EGMDOks/q3NufKerok0lNGJJ+tgsuROVdy0NRjS7bnl0Q0+VyVsQr6QpiTMAdBlRk6DQtLsh6ywpRKazLBaUpvaJ4cNkWMfLvS/Aez7/0vjf6Db2J+xN8eviuJ8tsbwL/ngPM/N/4apNR37fcfmpT6U3KD/vPPv6+K6y/1DP0hAtn/EYiT73IN3zVT6g+1/V2eLb+v8MKP+NvFn2Lfu1ivuSyFS8mk/9ahc0ZNiS8ePItUWOfMUGG2luAcn6QrtiXxtgYQYaECSzWz/USxGRuebVv2eU+wmuA9r0JAy4LCFXftlmWNPIuZSGUnDe+lR39wwSoO3GzvuG9agi1EF7jegy0OrVruxNGSeKkH0s8UIRuOtw4+aSmTI3zR0DQ7WAvpA4f/MuDHxCJGmhcbQue5azxlvEPPheZ0tk7optJcR8KDp8wLUnyO87coFfhmR8L/vD2EpgovQuIruWGmo9Ud4WpGFhPNxR3tryvq6BjUDfFySzUFebjiU3XAacWvm494Fd/h68j7puH6RUL7zOd3hSa1mNwwzT1NM2HsOesivUxIU/FfnKsyoQW1nEmHV5TcI68+o3souBPExYKaL6A0GH8LSqhGCDeB596ywvDua0W8ypReKP92hbcBbwOrOFNXUDuo72GUJRM9fT+wXEW6vvLmy0+oolEIbfuechGpy8ynnylOyrCznim+wJoBa07M8yVrObFhz2PXkLig1Au8/po2B9qUOHYtnS+sfOZubLCp0MXEUjUc7Jo7c3nOctEnnNvyP0fjt55tAvPFjJsd/XbJ8eOJuijovvDzfxPi1PNerrmSgXhpePi0Q95u0XOmCcJyDlArCWGpztlKO3+eI9ULYSl8qg0+Qj5UbIwEpbh1DSAs+spHrxO/qjCNCv/+vDepRTPPnp+7AWs9b92nTP1n+HrikwfFV9cwGU179HwQ12gUXzYHrkNEVccb/zFi9rRM/Hw68eWHHzFYy+rff0lqG4ruifFDnLtDtSfCBxHefog6tbT+K14kxaoKMDOuF4yt4Y3Z82pYsgqOE1uWSaGK45dcoz44oDaJevwp7rTFxgm3+AB1eI/MO2K3oLxaUi96yoNHLx5w7Z6f7YTtwbIbHNN8w8t+z2V/4Fc3wov5mut5zWeHO1ReY8uCVfk1TQdNazCHZ7wvijvgn9UGw3kD/6+yZamOXHJEKxhWLzitX/PyFnK+JdSveWkNO2O4NWctw2W2vMiGygl53iMfXfDFL7fMypL6jtXdFXktzC8jzZtbViFwmTNf/PcP6U6JF1880Xy4Yp4Du9v9OcNMaa61gf8Bhx7eGs1/e/OcOFS+Hg/Ix89YtIEX7o7p/yqMwbD3nnkzszTCR6Lxjy3H1PNZveKnRLp2RF09cPvwUwatOV0+8tHyBpUK93dvaMYZU8GohsUvMspXpq3w8LDARsUv9InPf/GKU2uQ/R0fPLzERsODfYdokNYSP1zh3g34o2IdXrNFE3TE+6/JrwzaKzZvIs0YkSo8tg0ohXghfRKoR0GSR119gvpScE+F1+x4/HTJuDLYX90S+0AxGn3/Uz5c3nPp98yPwu0NDGt45WDYOsZBM20m3OSw4TxWMVoyFvMvN7y83XJx/8S7kum1xlvHl1efUk4JwoT+5A57spjBUp/PXKeWq9BxeLqgaRWuLfyrfI5OhjY1/CQqdkZ4dBVVOV+XgfBhRJ56eL/ktSoMzYldc+S/DxbbLKBdog737LTi1toz771qKZc9P/n1LTk1DKyZuiPRapK1dCHQ5EQbE4/q5xTlEAqNf09tJlIX+fTxJQYh+ROMIydbuesFvVFnq+XdKyBizEzjD8xXAVUV7d4zTg1KQdNEVmEm14YnnlOX5wqJarhCFg+oLsPa8LN3S9ogJDlxL88JWiPNHoVglWGhWpoQcT7R/SSQv4Jp0rx3DSG0VN+gf7Lm4uuvaU8zjiuMsmgv6Oc7Hg4QtWH58YK2Liil8vX4OapXUDz1317SKIfRBeVvEf5fdx5xEaim0h46mpcZs9DEw8dstnf48cD7tiGkNbU0dM0jTZzRFR4XH+BkwNdEE14zGUUxiU/5jJwKscJj1yEKjAiv58jOWQ7eYl4Z6qFSj5WwmaDeQL5k8XAgbk7EixPp3/9wrtT3Vkr9uIj+EX9J/NAb4u+ivvltpdBfmqD6e1Wo/BDj9PsyeP7c4fY/lFLlD5Gd36di5Le19V0+94+AP8e98H0Ipz/Ffvld5vI/0lj9iG/H+oUmhcK7JOR9wGWFiZa4yNTZEacOMTNFKwTFbVFMLaiu4E6CyRVdhGdP52CHnSmceo9XwqXKPMmGmj2SKzFtOEomS+SSPcon6Ea6vqJU4eAcwSXEedr2El3BxYKfE4tnZ7vDY4GSLpAIqIk+TiRmwnqkrAOCo761kCIahRc4KEvMCjNOXGpLLQ2HuOKirygVmfeCZI1rMhc3J9y2I2fLzgzk7M8qABzq2Z5qE3djwR6O9Hmm2Ik6emrQhKFhHQKNglZV9smQi9C7I8esqWKw7DiIRxtNvho5RYUdW/p5RTFHog3AgrKuSFORuyvU/oi2kRgdV7R4o9nOWzQTRiXWT8IoMC4ELhP6OGCmzDKtCGYmE3n+BFYVJlUJBuqpg1PDShKmJKxKrDaKI5p51oiDtiR6OeJ9phY4DRa5Ctgx4cYACGo26KLYGUhKnzcgZTrb36SH50fyODMfKjE2FGPACn26Bk5M7kBFMQmEKlQg9Zp8beGYCfoELnO1U1QpTAI5r5GmwiJypUZKgmkyXBxBpUyRE+unJXEwjFazrQfEVpATI4lkzFmy0CcanbkBol8QSmbIA1SHKINSsDIt2RficuCwU+jckBYL9GWkZEV+8kjzyKkUvn7bUk3GVlCi6MoSWwSjjuyLQVXY1HeoPFPEcaeeEUcBVZEw8eAGNIU+JIaritKVZw8ju+LJSvNgJ8x+R+8U08cN+emciXXRzYxdhDbx2gpHtgRliDeJxwRjVFw/dUxRGEVQ9RUqFqok9huYEFQtuONEd8y4VCjX9yymGZMz78sdxiRU48g3iWommCoXjaIcJ+q2cnfVE6czTSgyMZSKJEM5JvZuIHaF6VGhisHiyf4VXg34PIGdmA04gUNSeDKaAvTMreWph5tugfhMMu/ZG4Uwkml4e3WFLYGbMHA/X5NNJDcDaSiEg2H6qiPMG7zKXJWEX94x0DDf9qwn8OU87/T9iRgUd7Xn1S4TVea4gdVBQQfbGyFpYPDcnBYYM9C2llfpirJP6GMgSWWolgjYEGHnwTfoxYK7WpkpNO0d27jGJU2zr4RLcCg+PBqmZkuqGVUhO0cumpJbAh5XYHHIqFyJLvPuRhHMEcRA69DqgC+KlTSMNpFixdxPZMnghTi9Q1mH0ZoUe1anDueEUB7O4fZKk2KHlbOSz95X+jFhSuGQd6RJk2tlZCDVDqUdL145HmpmivAMTUlLttXiUdRTJMfMk67ULGipfHBUnNKCsbRI+8BKCa0I9/WRfc3MqmG6qSSv8EZ4uRshzVSZeXffUAWMEmoHRUMUODxP2JhxIfIsKybfEZYrYgN+UFydYGd3kBM2Fq7uhMEFDq+Fw/srdNVcFMvtcmIpiXU48t4VlFU88/B+36AOiUXcUUshSOFIosQGasGRACFrzewsdf2AiT3NaUV3mQhFEw4rHotBNZG6jODPCiY1r3HmG9LM78n9EmksqctcHiySFDOKTSdUsYxpw2yE2mpYRdxsIVWUm8mrBvEGSiTVGVOFiiB2Aq1RChbZo6uQOZGVRgHD1lIrJO3I+RJjJpxM+FuIvhIuFDoeUWGBzho/wNwUks3UUyWGDEljxxX2cFaMJndCoeE/CqUoQDQp9ayM0HQzxMiUFsyzpy4e2JcJ3QppkZGtgpNBEMKlQtnK+vFEvwLXWvaPT3RdwTaZoVbmU0+aPMt4IjmhGNhZy+iF3ESMaNQ3f2Tf49uA949E1VLmNTwtvnWd9IPY9/6eNs8/4h8Tf6pl73f97r/avP5TrEV/jg329wnq/q7B4t/3OH/KHPgulrnvouL6IefhH0PA/a2SJ39qXtx3sVT+UEq2v9U+hH8sJdzfMhaXsJ2Ex6nCvuJyg62edDUTi2eMCxaqgKpULWxtRbUVtxJ8KBgqFdhMmsHCrimkrqGVxDIHHk13lu6rhC5LMpVRna1fYjOmT3iTEW0YjCO6gHeOzqwxLWgVMPlAcyFMRtglMGGBzhWrAm6eQVVUD7IENRjsvYMOUKCU5VQ9OQvNFFi0hiwNT3mJUwklhnlKqFJwvrDcjLjdilA1OzNQiqfWBqU8tt9TmsoWw/U8YwmMJqLmC6Rq0uBQZLyGhsycNEYrFjZyT0cQTSsnJpZUY2FxZHp02MGxiBtO7UTWGa1B9QU6ob7rcKeAUpWYDY1qWYhlOx/RJmFtZHM0zK2QWkH1FRdndCz4+ZqkM4rI6mCYqjApkHVFZo+KCxoO6FrQpeB7hR41NViqhU4SixLO1ZGqJWaDvZhxacQxEWRxJqWC5mQ4h7KjMUwo8aAa3OYJqZn5oMjFIlqjNVjWJCUEPZ1tJlURs6ariuqhrA1jiSQ1gw1stBAxJDxFtVRTqU3Fm0IC1KBZzJZSC4MKLI8XzKZjMA2HZkTZDIzMVSjaIlFDk3BKWFbNkzRUMeQyMc0WVQ2IplWebBLOVYYCUi2xX6NXE8yKet9C80ROmnnn8f5cTQ8qTfF0IvQm85vSUiqs6xOdqgQ6jmpNCeey75TIoRnQKnEVLfuFQRvNs9uBSa0ZdcPOWZbjEeuF6VWL7A2qCL2bmZuzmu4ZGiVHjqoyLA2npJhnw3LniDWTkmCmC4Q92QRiq5i0AtE0U6APha5U4vMnlhoMkPMTohzGO8oqUFPAzJneQRoS4ajYvujwJmLJIJkpCzka6pQ4uZmhiRS1QWMpGIK7wAjYnLB2pgKmKk5JaEl4ErgFoYW4gstVS1GJXE4MVn+jfGk4rVdcBripJ26HFckeCc0TaTScJsthtlRZ4plYxSPm+YEUV3DoaLMGNJNWqONIKp6RnuvxRGwL01JzFTTSweniXP2xPzkuHpbw/B7rFNdtz3zaEUtiFCHgqKai0oweWygt0m54koliTiz7LQd6VFIsjob8KtMJPL9T/Ga1J+iKd57qFCVbptyRaGmrYjlllJ7ITeVpda7cprIFvUDMiGhFWy6YXAEy5jQjvlKtEO0TuBYtDRIX9EOLt5W5QtLnSmY5tBidMSVjtplF0lgRxng428c0jCWRy9lStbzW7AdFFFhS2ZeGII4bpZAwUkPkIJnGJToNm6BJqmHSHckmWitsqvAQJ4bacDIOfTkTvSFheHE7YupMIfBu7MEIyheqPT+LZqU4bgLmkGhC5EWwZNcxNCvCJuGzYrFX7OwRVSM2Jq62Dp5VjteJ+d6xUJaFsrxbRNScWU2BXVNYesWFh1LBTplmmslAUJVZEooGK4LLEY1GtGK2IOs9eio0Q0ffCUwaNTTsjfnm/CMYhczuHPI+JZSKZDNAt6B2Qu0y/W1PTYrRZ7oecjYc557QzUhf4Cph7iy6VDAZaTzVGGROBB1RBkwB8QEx54B1Fx2mFAYmom+pYjD7BigU5ShpiXMzVjLNduTwTBM7A2qC2mCKpU+QukqxhXpKlDmjo6cZewwZdEItR+Qbr6JWIFWQCllaOj2xMprZFqbQUkpLuf6a1FekEUwncAStzurX3CukUzy7nehdg+ktT08HnE+0feVQDXNqyKllJQegUBUcrCPaTLEFJwWURbRCHT3ORJp2ZlQdNXpI5lvXSd/bvvdDBcX+iB/xbfhjbTQ/5LH/Kyml/hbK1n+fMf9jSKk/d1W5P8Ue+EPYSb+PffVvHd/XdvnH3i/fRT35n/GPROT8I13Lnxt/in3v1f+vYTwJ40loDy01XZDzBQ2VLFAQPuU9h03g4TpBr1k/dly86zjVB6Z1ZbpS6PY5qAwy8+Kzl7h0RMs9XmtOxrK1lmaaqMaQfIMOLzBicErYyQhScVTiT1cs5oHrd7cADEvN4zOLCAjnzdbrbkFMjvuThfuCkYJvEv0808qClXrN5zefM2eN2t6A7lHrCp+MyOmIPhnM7QVJZvpO8fp5y3j7ljEIT+qK1g9onc/hvfEGAO8f+WATEPH85v4Dnn06sFATq98c+Kw+59Rq1E/e09w5zKQBRR8DUgyPvILXD+gm4N87HBGFEFUDAk0VPoqJSS6ZlGPb7LleRxqb2T5xJmLk/K62E42uhvvQoF9XzEKx/vcNIrcUObFXG7zPGC3M0xIuArQFbluUW+Cs4+X8yO5Kc1ga+NLj7YAzI8080QJWaR7blk3OrErhTduwvs6sNwX7b/CkLFvtmOdLrJtwbgJA3AblVrx++ozTpeNw1fDJmwOHotmqc2ZIcRfk5gqaihwH2B34b+aASM8saxq1AyJiMu9+siYoQ06an56ecDMwWcw/FY6T5v7eMvsRH4X+pDjpn4KJOPfIqxAJ646H15ckc4uosz1j8aZQxoZhuoDnW3TfYvqXfPzZG1wD9eMVd1+OzGNLSi9o/FsWTNzkyJc/vWHKLXzecsVXiBie+JA1FaVngn/4Zr4IjX/ghSgaZci640EmpgIxLPj0GhY6weOOz66eMWpNe9zhwkw1itP1JRwuaYPwcf01975h0gYQLjYBryrxtqWXREHxWVnQdIneCT/pNPUYkJxhA+/jimP2GEaerxOdqTy9bYg1oCm8ci1fmzVPxtOyZflBolkU0v9ZOF0rUqd5+VXHyQmjr4QXAVGgi6K9b6CCKEu4+oQPTndcDDv+n/QJrj7g9ZbDqwX4hHKCWv8LvNPwvtA0X5CSpRbLf3+9ZTcbtsM3czxf0Mqa25//hjxG6qGyzAvKZSVfZ/yvPdn2pK6nPeyoXpFaD3fXODXg3BMb+ZTIwMg9r8KHnGrgTnZ8uNgzX3geny1R/3aJuIxcH1HrPeaksO8t5lVAoka2lucfP6cbZ9o3D0yy5iA9d6z5hdI0myP1ozd88W/PiS5jXj/y+ovnzL7y1es9V7+JkDRT01JF6JaVmw8jXxvNvO+RX71k9U9vWNTI899YVNehVxbzkWOXjgxHx+43r3n1P76g2JnPP7foF89xpbL51efkDorRROnIzzxVOvjqhvriC9TqSLPRXP57RUfHu1/cII9LumPhZ4fPee8cWSk+igHBM0nDr2RD+4GhbTNXb75mrxyzKOw0Mb02pK6Bzz6CD+5RF0d0C1INdbbwrxc4N9G5wE+awNdt5cEKJNjsoZ019+s1r1eGi1b4ddoSJ6EGRZs6UpPIbUZdKszdNWa7xvpbQBAjzD8JtHcO/+DZf3SJHBTqUJAXb1msrlg012z/70IpZzaja29pUsDFzMPiNX0+so571uo5R9Wwx/Exe3Y3jttXDT694WpbeHZ3/pZ58MLbtkKjccnip/8ZFSRKET4ImFnjHh0v4wcM/cDt9TvUWmFPFvfO8zy2lBo51SPHVz/DxIl++4bQteRWiOvEp+8VMa14Ky94rb4CmTlKYVQ/pbhEWXyNefYCkxT2/YlwdUH1GmVmlBH0CO5LfS6yZwqqGUmvIn2p/OQL+Oxjy9ABFNRXH+EyXF5+zjC0mNTxIj4H3jJL5q28IAMVjcKC1mid8P4d7tWCZqG4Lo/c3zniCa7mwP0zS7WOX7zv+ErWDI1i85MvCA8ONRtuesu8H5lLYfu6Z/XY0UyaqTnyLDW0YviyGYmbhDhYf/WKbAeKDjQTpEZQtvJ6jjw5x6A1/TgSGk/yDaF7zXr5QNfteT8uaR8n/Glmt4E6dZA99r+fQJ+XJ5f/dyHJDUFfopr3JBtINpHv/vAa6jsrpf6eF6x/r5ao/8r47Xyev0VC6i8xp/4rqrW+L75vgPe34U8lbb6rJez7qLN+yLn29/Qc/0uRpH+I3Px9x/t76sdvwz/Stfwt4/TVgiZHnqfIPCeyGlBWWKfE2LacupaHOZCyxTwu0dNARTG+gPTkKL6CB30IKKkgcMgjC4msleJgzm/h18nT3GTmAnkWxB4p39RYl+WESCUVQZ5a5qjZ1gXORXIFe1Ssa4+uiVqPnExLRuFqJFWDoFCimGRNqJ5RTaTjClxBrnYwgomK7k0lItgY2agtd2LIArMeKC4h1SGpIYnF1JkmbxF9RKHpUmV/WKOd4YObR0Yiu1gppSFfB1QvoCCvCsobVsMFNT5Sa6Rli9oHpC3kZ4p2W3GT0JA4sWFWlkf7hGsntJ1JRPauYpUiYxH0/5trpUuPqQ7vTzAJOiuSO1CWDdVb/GNmIZkmFywH2rliCmydPr+pRzPYTKwF5kpbDQqhojjVjmwr1grBRWYvGIT5ZOiOlVIz0zWMoyeNC4QGiAiQVyCxooZCkWvsoFlUw1OdGBsheeFin4gcmRE2ITEFzZGGO9shtUVyw3MKCoOUhua+nLNJas8hnS2WIhatZ4KJRDNjskWJInsouYIvqMsMs6BUQm0HuFxD0rA3lPgEgLeBLNcwO0qo7NGYakiHnmnWSBWs3bIuM60oKBuePcyMdubhyjDmiEme9TAjNmC6wLOrxO37SsyOpK4wZaS6zMP1wKwSJXjkfYeaNIpMkQpDg+lg+ZGje+MpsyWc1izLiUZNFBEkO9AWbOCYBItlIS+wzx7QdsbfZbQSkghflxkl6/P/Xz5gQuAqJOwpEydF9I72dUP3lKmz8G7lCek8y8rlc5hm1GEmmIGFaTDesv8gUEZQCXwUSthQUkdsHlnNPV3q2G3fMUmgWI08e8TvDYvxOV0b0cUgM9yvBtSFRXsFj5csy0gjI/eLFaEWZCik1FKrJpK5fqoMVnFaGeLdGsoM6gRAFxXrpDnWDSWcq6m9bCu6FGqEoxzwqnCjO07PHhhni+wXnGTCDi03ecljqui24hrHfNtQQ0Uh+K0gOVOCcNqeCDHhc2GhJnynsZuW/f0BVWeiElbrmWgtO3/N3WbEKM1lviQ8e6SGipzOuXSxCveTEGKmziPS31FcpAqojeOxXWO08PzrLfE6EppEunkHjytMbmmHB3LaorXQLhQhCTYJS5UoT5WkCkerkNpho+Fq2BM2ioTGiKOb97RTIklLkzNGFx6sJeWOqC0snsh+yWwN24uOPIGOlY3WrCNUlQk8cIqJPDleZMNxFqYopPWeHDQhaoKpNPOaC9sy2ZF+7emXjr1xxGbi5DPPwwv2ZWTKMzcxs181HFc9mBOeEV8zEUFqhxSPfdxix4qTgDsO5NlRq0GNL5CQqeqe69oy68pkK7JoKKM7h7aHHVo0iSvuxJN1RvTEkE6k41nxpLThNFpCdSjVMusR546oaM/zV3EmzYrCJAuPlxSVkG7gIHtyTbiTox82+JjxeWDUmqgNs1xxc1JkL5xeK0op2NJwtbvElpGkC+LvGLKga49KPcZNSBuoF4paCpIr1c1UvUdljTspVjXhomCU5mANUSuScuijkFXl7UbRHT12qjwtB5w+orRiDh5ZLkEsdXhgP3nm3FOVp/on0AlXGkwquFJZxoZjnJkoTLvKYs602rJ7vibFFjNqKpEFB3SuxCdLikukWI5hoJUVSwW5nCi1YyqWVczYlaCcYnVKxGMho8hmoOqERrFUK/LiRFlE7k5CbTPKKI4IfSksQuZYMilognfIVaA0Qp7PdteyqFSbkNsbehKdJKarE2kUylRRaY0pB1yM37pO+sGq7/2IH/FD46+9WfqRzPzTx+CHCI3+Eb8bf6ji6X/F/vshrXb/Ve/3H/Hnw3S/YKFhoxKpZKqfwCfalIhOkIXniYydGtywQIeArBXhopJnj/gCqmBPEZ3PkvuTmrE6oQQmY7DiWNYWv07UuaJnQfTxbMEBWEREoCTgMZGyJrJgYRSqVMwR1qrFVIUUxde5oZiKdwNFabQCjTDq7huia4RpgWKGix0Uh54dzb1CWvAqs3ITj2FJkcpcjog9h7S6rBFxIIKWjHcDWjTNKGzrEquFn1284bMoTMFQVY8sIrov1GyoTUUMNHPPyIFMxHFEnYRaIbwscFBoFE4yJxyRhp2xXHQB7TMlwUkrtGg89pzJoc6kF9mdrSN+C0HDrMj+SF2vqG2DOW1pQqXNQiWwiuCy4uQjEM+900KqGaaCp1CkodAQlKZqwZpCUhPBC1orZK8oA6QCx5eKOTlKbrHqPyotQm40Egp6jgS7wERFE4RtY8k2Q1vpHjO6zohU1mmGumBUK56MA2VRaK5UQddz7pfdjXhd6azhTe5JoqnaUuUcQC96ogsOhSYZg+QKNlMWhdIomAV7DKTuCjV59IND+wGlEtpGar1GikZNgQmDFE86tJQEWma8O9DViBcP9GyOD5gusb2qzAmaUNmEiYMfkCaxWAnmIUN2ZFlRSRRTOPQJZTIYi3KWkixFHAWQ5NFNodtoum1DSR6bPL15wOsTQfgmONnimBkjKAy9XlNXR6RJuKcMRlF15SFHrG5RpqP6Hc9MYmEENxq2URMxLF9Z7GTIufJ1ZzAkbM3ExSu4d3C0ZJNYs6DBcXsVcVWwWbAB4qlD4pr8/AEbPX3uiOWWbBwn7zDXJ3y6optXuOYJO1XIwmMYUJ3DLB2yXdKomZUOvLErxCTQiVIcRSqZmZd7Qa0hrjW5dFArSjRaDF3ULLPh2DaQNS4rLq4mJGVCFm7rHlcda/F8fnFHOC5RhxuSWPxkWR8cR5kRERyaaW+RksEWmt252EcgM+1OzFXQVdGZgnIJs0kcH3ZUSSSl+aQPaG3IXPLUfkVXHM/mNaflieIybtAglZxhGoR8UlAL2j9RxVC0J/cNT32LTYnn7yfCSgheYBUp73+GnoSmvkelI9Yr9FLBXjBZ2JDJB2HWwtgeKFyhc0M/7jj1iskoTHF08xM+BCZW2HoEKk++IxVPUUA3IcqRxbPvG3zKtEmx0A4dBanCaHfMpaPODeuiiYdCjAXWMyW15GCZs8KypJc1SQuu7bHW4+bCbCeqKbzMa1Ku1JxYEpmMAd+hZMBKwEskSIsqHlU61JND54iSjBknapYzKR7XSNpS0p5LXVGuEH2BZo1EQ9HgeI9SS6JdciyC0QlnT4R0JlvNpKDTTNlykgbFCq0F504QLKoqlILiCzppTAR9XFDbkbI8cJxPqAp2snTzkkYmWtlz6xOTtgS9ZDnB7BSPl+783D0Z+uECUwvYCfEHJuWxucGWDU7fo1ygtho1ZCQViilQT+hiMaeGZQx4KsopTq5BlCWLpzkVslU8LDWvHxxOFZ4sGHVCacOcLbbp0VpI+Y5DvGaSFm0UuhnPlXZTi6sBXxR9uWA/j8QcGbfCxkHtNO8uO+TNAj0okgo0ckKVwuO+I9MiynCqBxqWNMrS5x27qiho2lKgqaRe0QwFPVZSUQyrEURhxNCoDttOxEXlrmgWvcJbGE+wnit9LqQcOY6a0XjMzRFlLMp6nChUm8hdRn++pJVAZyaePtCUWiBGVGlxeaLl29fV39m+Z+3v56/+1hfwP5ILf3/4Q2qRv9Qx/9Dv/lxz6oeyJP0x+HNY274vKfV9SJU/RtX0bdf457a3/aG8ou+i0Ps2Vc/va/sfCT/EmP+htn9fyPw/cp/+iO+GP8W+5/3/gbM7nN2dFS+bQlkX+l/fkGpHMC3y7A02Vtx4nmuLkliUwuM/P2MeR+LTnj72bHLlomR+89qih0J/n7g2hnpxQXz+gv27N3QhcBET21ppleJCa/6tXhLxKOVpmy21OmJY81pNBAr3Uui7yHKZubpOzJ9/RAmRwjsOr65oauFmf+DzRggWcAr1+AlGKr65J1xHJPbw/gOa9ha3mGhfJp5+8wLGwpL3pLalRfFBzGyrY+iE/QeBT53CTnD3eeH04iOaVvMz3vDm4DgJhD5wtQMVW7Z8iPePaBNQoojhklIcIhNcPaFdpBla8s2K0gLpnhpBz4bV3QK9GsBn5tD9L2MU15HSFXSvcfcePSim9YTav0SlDvfB51wO4KPiq77C4QVqXCMS8f6ItRMCXOZMpwqf/Rzq7TU8LWmbW3K+oNYF3r8l5zU5LxEJOH+itSMfE9lh2WHwLeSsqAleh8jBavbGMs4LnE04H4kfRezBYJ4sIKxVZkMmjhXNCq02vG+eaEpkETMTlXHTMdz0KHZ0+8ryQUiAv9K0rzQPXzU0obDOibufKfSpp3u3oeU9Iz2P6jniCsZMeL0nfdKw0ZZXwfLV3UAbEq9iplBJIkwivFmBr/By1OBXCAtK2vDk3xFqJYQW8+mOZc68egO7T6EWwXwpnJoGt4TrDzJf7yrzqUHtnuHdAYAQFpiPT6Ac8vUHXMpvoA9sf7pBDT394Pn5bctvPk1MemDx719hfmaRtWYykOMlNSkk3IO/pkuGn392z1vnOJlzaG8uz6FouvQrzE8NqlXof81c/NRi+o73//op84dvSBcnlH3GJ1/sudzN1A28D5YhK16qyBbHCQNKsbje0DQt9d+PHNWaSTeU7sSq3dKZE/F9BVGIcexfvkQfW3ww/Ld/3qLea+rOMn66QT1E1CFy/D80C9nRxCOff9EQ15myFOq/3+B0oLUTn+bE/eqG2+U1zeOX+DDTpIRC6LWiN5ovXEu8bCiXLS9+uWSRNZ2Cz5p3NEWxKpZ3/3Ig64pkoewq6xNcHRVv/gnycQVvr/jn5i2qZmKGDsUTnq9Uh/nnI2YG987y0xiZtOadtdhpIsuSSb1krc7x64MSpDyxuZr56Bcjv76rhNMGdp+Q8zsUGqMvQBmkKchmpj090cfATYp8xcdUKazrV0x9S2ZJji+pP/uS1SLxM7Pk3948QVT8zF3z+dOaKRecf8cnFy20lV+2B2oQFiP8/E7xNT/l6DvC9QF94cFEGL7ixS242nH45OfEN5l8zCSJNH5HY4RLXrBIt5Sa+KX6iGt5h1cntm0LaoWThlej4109cvAT5hcD8u4DmHrUT75E3l/h9gv+2WRuzYG9ntBKkBc3SN8z/F936IsR1WXKuxXmwxl9kWg/b2nniJXE8TWECCUqutiSw4aSlojS3PDIWvZ8xg1VzvZtVINzAeMD4XlAhhVqWNLVJ/Jloqwzq19VqnLkpiH+9BLRGWrEfTajiqCBT0PLwRQe7Pn7c1kyFzGjVcdpnXm6CsydZjEbLk+Wx/GcMaWAq6tATJrj0TGODrqEuppggn6GixEcnuECth8U2l9/RC2e6BRevaM6IXUtv3jcE7LjC7mibXdoVQDFi9CQtfDQzLxoIkUUD+EbC2FxSFigmxOyiMTniRo2yOiR2wZZvsPoTJs7wuRBCU0bcXamtsL4rOX13QvMrLgvt0yLCG2lvdTcvKnoQXGnGsIyIBq6Q4soAVMxi0AwH1CVw9YvidsbCJ6ufWIdA7po3vAS70/ofiZ+HPC3HnPQiBJivKbWhrZ5R0pLarU0zRM2BNCZ0z9ZJJ8LaCy+uEaamWIL03TF1cKx9sJy/wWPxnAwZ5V0TB2pGLi849XUc5UXfP36gjLsYTjyPEd2fWXfQHNqSX0mt4XusQUBhbA/HP7gOuk7K6X+lrJIvi8h8CMR9feHv5Zl73cd//tmFH1XfJ/MpO/Sxt+itev7tPldnzE/VKW/HxrfhcT47Wv8c5KZ/8j4XeP/p96fv8+i99uf/2tm3P2Iv3+s5RbpIiwzeW/pk8ONLftaEDXi9cT6VHFNxlxVtjtLzD0injgONHPkImkmYOotubHkg8JpBS8Kj2GNwsBuxzwpcu3JxpHrgANENM9xzH1hvtixmAPESpWBxk3k4lFhhfBESIrd3lL0ibIS0qpnkzpsiMypYoyjr0I3F/YloqRg50g9aWoBIdCnCHPmeCj47oA3lvV8xU4los/cXglpJyQDAmyPG0w4q5FoFdnCw95itWIB1HCuv+QdvOq27PREqgUbLR0z1QaGzYQR0NESdaTZH2lOmqAtm1hwqSJqZgyGnC1aQyktIhprJxbWo3Wl3AbiACEZ5NBhSsTogh4sw+iYk+JlHTnVieg0XeoJpSOgkHbHnCuqgN068myoYgCFlxOmTNgUMe4IbeCxK/RTZDUXkgixzURf0clRK4BwqplYLRiFEgdSQIRy5+ijZ5Udk+yxrYKuYcj5TNJVi0qJooTBWzIgFdwxsUhCmS0HHNZlaob0pIhdRLRCTwbZK2qsBDcR6LFV8apu2WqNq4Z1vmK7HVBdQBYz+SqSh0rZVXYYQjXMyaJWI1VVtk2lG/qz0q/ekpOjYFHKc7nbY4xwfyn0zlOMcLhMSIAk8CiVroe+Vsx2Yt4EkheUVDZTRMfEWN6RbcUUzbP3IzsfCUrzprN0e00jhcl6omgogqJgtydkUhRtKf1ILJZ3cs3MDLaSrxrYjqi5UpTHzStUdgwyoR9n7CEy5QN521KDhfWBQwiQC6tBE4tlwnB/EZgHSwmOC07EmJl9gQ9GYtbUnHDzQI1CxKIkUo2hWstF6Jn8SPIjD9tCVT1l7WC3ozaR+jIRjsI0e+z8jKCO1CJIKDg7IcUQ0oIHfcSGkQ+lsL8MLI6V/qi4e2Ewo9AeIInDHzr61DNcz8w1YUtk3UEqhaccMKbiZ8HuhX13jYoBzYnnoph04uSP6MvKPHsedz2WzCznsPP13Q2+KfgXiYeciAE4wYVS6DaSV1uKU6TJoJ4aFivAw+1ekNHSzcKiHMgSSZ0wX2fy3YYmFq6Oe55iTy6eWncYN1AVnNQKqIir1KvExWGDGwtvLqCZnsGseK8N3XrPwgvWXrGrRyRGrg+WXVkTxfGuF05zQqXAB4cjh+KourIcIfgNs/MY/Z56uaJ4D48NzQoaMzM/3tHJjHLAi5mwAybDJiZOmxPJzpwGRb5I0As1PsNQsOxY3mdOE4gR9NWO5RhQMbM3hrIXyljQz2eIHRwt3s7oVNAD2LihkUirA203UIIlj47H3NC1kXa5Re0tuWYecNTVEZ0VNimWORFrS0iXNI9vUWlEl8LVS8sgwrCDpUTwhdpHbtOehassdeFxnTGD0I1QN4IUBVlQTUZng1I9NUVyFsLkKQdDsYrUACNUpSjGME4Fk4VVTYSVQjTYyeHTudrb5CwBTSwedh2iR4SMqAVLMtlm9svCfcrUoHBhRKmKlopLiblmxELbFvbzkoyQ2hEbLCJClsxFTugxM99VoopkKuVqxCaFrYZWBaLqEDRIIraOajT1tmM3CD7DQhYsaCixMNWAbQVv4eaY2UZDVIqqBIVCimY+duTlgNOaZ8cNj4vCvBypIxylRbSCyz3FR6qulHcNcegwWWPtCOsAvpKannwIyDwT0xIr9Vy1lmcwHJHTzOhnOhFMMhQ7kqpmzEK7EHTMNEVonrfIPiInkPEZxQfuFidKyWQXqMvM9rFjngw1aZCAiRpVFSk1YAvi8reuk753ptTv2xD8rp9/l0yQHwmjH/HnxHchML6NTPh9c/+PUU/9oUpf3/bZ/0r4Q4qxvzYZ9aeOz5+TyPxHx/clOX/fZ/9UVeB/ZZvkj/jj0LE9V3rqFflk8NmxODU81IR2Ae8S61nwTUH3ld3eknRDVEvivKWPhU1VJCB4xfHCUv7dYJeKel0ZTwt0SLjjnpgt0bQEv6LJUKmIggurGfuEXI0s7jOmCBhQzYTOGp1alECJmiE5IFBaTbxqefVlA1NlVxQag8vCeiqcTKBS0Dlj5rNAX8xEoxIlF8Jes17OtK6hLVcoTgRbGS7Az5wrBhVhf+zRyeBdAFupKI6TY7kUGgXToCgWxFZu+h3HKkxZY4PBM4MRxlXAHAyqaKKOLE4ZVzW5bVhmoa2FowpIWZLF4vtESZ5aDNZONMbiFcSHQBBDxqGzQ7cRYwtmcEzZQ9G8GgLVBTCVhbSkYkm5AVWYESgav3OQFYUCgGXCk7G50jUZ041sNwpfoB+EIBBVJTuhRHtWyohiEKFqhTIKA2gUiEI9WTyepXKUklGdJzcNo1Pn4PIC61zIXjE3Fso5OLs5ZRYRhqo5qobWKmoW8g7qVSKKocYGjgrRQmxnUurZqMiV7DiZFleW9HnJcDigCIRloqwgo5mPhh2OWSxJNXSLQDXC3oCcGmzJWPZIeY7CYzAsD5rcKx6eCytlESUMy0RfoIhimDWvOqFtKkaNPC0ydVFRLrH+d405ZQoTWXtM1azvE8fLwOSE+7by4anFVcvUdcRckbnSaoV5mmBUqHZJZSKpwr25wZmKdpmydthpRNdMwaHmBVoaJq1Ru4ImMZsBe1xgJ0flgTGeq2C15VzNK2rLYyswOlxpadWJMVWGknHPJmRSuClhphlJEKvFq0wxDrEdF8VRuongnnh8bMiLltpD/7QnXSfSOiP3gjo+Q01rymYCyaiQaUwgliUxdzx1EzclcjnPTK8KbYbFqMlXniyZvC+U7FmeGi6mhs9/tifVEeLMp6slKRcOYWZZHc0oNE/CcbNENRrlB67EclSV2Y+UpWKmYccSmFGARdE9rWgvC831yJfqRD4ozMmyUBrXZLjecbJg9w12q7nuFSer+WIQmtnhM6zVQFKV0CTKzZGy9fi5cD0e2OkVSRuiMmgzINYyugV9GjC+kq4C6y96pFbe2ZGrsKFGuGPkw+cDfa8x5pIvD0/IFPlo6xn0ism1bBeQ4xN9Hnk+jpRsSQrWCd5dLYmd5aq8QXcOtIYnQ9sKjc3syp5eg7EWez2SZkEFzVUITC6TPJxEyCuFXjXowxVWHnCcWG4hANEKeTnSzBlVhGNjSKdMJeF/Gqi3K2RY0LYTKgqqKprc47TFOc3aj1RxpNhyXy2NPbFZTJih4a4anrDo/oQJFodlXQNHOkJZ4HfnfDZjC8uLNfXJkXYaL4KzFVziMSY6gUureGgqKiisKFIfKMGhkkO5gChLrQ25jKRiyVODHDRlVcmrc/XZKoakHcMk9DWxrBHbZVTR+NHR1kRFEa2lKqEUj9ldgnoLJp/VwBSyLgxWeGrBqEJTJs5Z5WdSKqkMClyj2R26c+7U6oCPlopQVMaXgi0VZqi+IF2hXib81uKKxuqItpYiGiWV5CxFLOqp51QrXuAFLTYLSZfz8+HlOWdteYQxagRNxaDUWSGZxgbaEW0Vm+GKw+WJ0CQYDDMt1YC6fKR6IBnkTUuRBtGGxs7kPiHLSnENkkakRNK8AhxWK9ZlQ50DaQycXKHJmq7CsR0pFaYsTAuouWKL0C0NZgpoVTDxGXdd4qmbsDFSHORGsa8tBI+KBukCOml01EzFgQWl67euk763fe/3Lcb/kqTUj6TWj/iu+C5kxnclPH4XKfVd7VS/6/982/n8pZVSf238toror2Vj/C5qrT9FffMj/jT8tr3ut/Gf78PfpXD6NrvjdyGIfxch/eM4/9fBn2Lf26zXrEtmKZm3P1HEp558v0BosasDdvNEElgPcHGEh6YjflMFq+4KVDACv7jT7Dvh3Vqhbn8KpaLUyC9eTmdyIAW+zBXdXdKvXpF/M7JMJ670E29/ppinNfn9cz6Vz3FyDv99XBYi5yDeZh5pzZJV+xpVJkZmHvWR5bigqsrUjIRPIs1cufhcePiFplaDf2sJH0fECyRF44Tu1HLx+TMeP/UkIurdPZNcgqo0eoczM0UVjgra1GGqQZ35FrrqeB3WfPFp5tQE6tOW5UKxyIrrr+Dz0nGSDqOv8P4BpQohPoPn71FupHlsUAJVVUY3cbHSeK0Z7xteXF1gF55fu0j5MsIh0/cJ8wpUC+VzIdQVVRytfiI/S+im8vGvG+6uE4dWUF/dsJQ9zo48fWyoD0s4NnTdiRgNJMvP7ZIseyIDj21DpKGK4UYeaQvoovmca5yNeHsOgRUFaGFxNTPsF4z7nq4dsFcWu7Zc/GrPoA2DM1z1MCfFGMGPA9U5svffBKIX8ibTvHWUZSVfZpqvG9ZBcVHgN68mfBBWB8VRNyyK4ipXKpGddNzJBqV61HVEfzjwwf9zIBXFwTvmDzbUQcHbwgcfPhAk8zAJXa+QeUN6ekUpB7QJNM3M5tNAiYrTW0ecX1CrASI/Uzs0kYNExqZB1oL/KBG/8JT5nIP2soNUNF89eX7+6QmlhHfvPB/0gewrn7XC6/cv0FHz6HdcxYhUzzteU2XA+ImLZ0/EY4vVC25evebrL+8Zh4oxzyntZ6AyZvwnnH+Hak+ElwnFB6jk8LfviatAaQpKK17dKdpJ8857UrykmA75QPPRwx3r6UTyliH2zNYQ/3lLvT0rGic/ospLDBuaXkF4wjHw8acB8xbKVvGZdYhS8M13Ss4vwKx59f95x9NxZn8MyDTjS0OL59WV5UFmnkqg23U0IWNLZfjkExhP6NORV5PiiQ1blrTtW+rlBfXight/S3s70LwPtOYFUUZCOTJyhWOJ1wvet18SsiUVj/mXR9w2498Kw+Jn1FSQNKL/v3uWDi7Fcrl/yT5PvK871P4l5ICUPSD0xbFOnq+fP6HTmsXhNZevfskYem4fXvOs/pJ8nTj8VPHRrwQ3LiG9IK49p/bIffcV5JcQDUwZP63x7Uj/7A3jY0tNGoUwv07oVmgs1C8dxbSkDy/48P49TJn7ueHlRaAvQveg+Ky85ugV8foWNW4wRdHUA4LgivAsCG+eJ0Q5Prh9xtPVPdpnPixLcCNTU/nN2lM/v6Y9tPxCVbb1PSc98LiED6cVnpbPNy2qPODyyKuTJlYhyzk0/9potLL8Mi9QLydcp/jgq59wcFsmNRPmK4zyaGUpJJ7LHSt/ZP4fmuN7RzloPvloZvdOGJ8Um/aCkAZqmblWltuXsL+EFwjT1jLvDHaaKN5B67h4teDgJ05qxn/moP7PaL1lU+h85eH+BVE8yWj0J1+w3F+w3F5xC1yqLTf6EXkBh2jZjxY7jIT1knCxodvucWmJTRfMzRt0njExEV+AhCs4Pgf/FnsZsc8T+4eOelrC4QKtFCIB6okP9JYOS6uW3JUtXgkXWvN+UbClZzNf8c7vSboCCkVlUTqu8gWflQPZRFqfuQwKKZlRJq60JlvDg/d0U0CUYmo9N6GhAlsfmSeLUkLbZubZo33L6vkl/u4Lag4MTUN8uUGVQv/ZLbnroOtxm+ek3T01zmhgnjtKbVB6iXr1BqULvPmQjbxFU3lUH/PB5i3OTNyODfHyGq0UV19/yeETxewb+PWHvETj28hX//Tl2e6XoHxdYFjiYscnZsndWjE0hXbYEmZNrgKrI9q+oLULftE+8s4XnlDU9y950d2zaE985tasHgrNQbgTDesJ3SfaoUVVMBU+iZFBKic0D+pTqozASNuesxRFweQGXHE4cUzLmX5Y0p+WvEtf/sF10p816PzPFRj7owLrR3wb/hx5MD/U5vOHOpc/hw3sh8Df84b9+yjq/th2vq29v7c++1PxH3P591nlvmsb//nf/0Eafxci+Lu2+8e28yN+REwO6SquV+Ttkn4SOn3i/mamqpkUK/UbhcvJGCogpSKpcN0o0qSZJ83OKKZkkL1BPXtCBzDHCseO0MHTIlDvOsQXgrtnrRK2jQwrIfiejKZeDOxPGpcX6NKT6p7SFGQdyY+WWgo63hOrJ/lEWkTmYnBFWOVMFnMOSSVj94aCBgXrByFry7EuET8SpbJd7ZBZo7IwR4OsLEYp2rAkV0EEmrxg0wyIl7OyYixQhEc7EnXCVmFzvCDmwCyw1StytWgLXD9SmLBZ8ywodseWooUmBuZ2TTEGXwpRn4PRl0mYh4maE1YX3NKiewfHRK4FKYLGYFWkUsl5Q9llqqs8LA2+O3LtI3s/E1UhGTAng6kFZQNdSlSviK1wN0SWS4PvetRwzuCpIgzPFemk0bNBrUe6WFhm4dBfk+dKnTNxqBQB6c5EaJ0ruSZO1pC+CYz1ZEIDsYE0tWjRaAGVPEoimHSed0eLZEucIyMFTEVPFsnnDPfusuAnT931PNaJiNBx4OLFjPYVOURmranV4VJPMA6WEXl1Yq/qOby5V1x1CmogyANHV9BU2qSJjxYx4NeatNrDbJF9w96CFkPIK/puxmrB3FmYHHOpPPgZ5gt0tiDCYwBLoUmRU9BE1UC7YDAFpRMhWgZdUY1g11vkUIHM+E1/1Vx4uDvRhhFHYTZbjHAOwa4jJS9Qs8fcz7jLEaeEdlbspae2FXczMlw7xtmRDj19N6PtyK4qTiaC0Wxy4akKc4GLk3AwltJ77GmFNBZlRi6GGZUiYir3wIUsaKoHRhargvfC06NBmxNiIntGgs/nypNPV1QfCS7xeLogscRLJcWMrRqrDHqw+FlwKfH0TDOZiFIB9rDQA62NnMoI1eBYE8uJUwuHtkcNidAfYDES7j2FjDQnysFjR4Wq8VzRTjywwL41pG7iqRuZ0olQhSQtBAPZgBhYTcylogEdNI0Y+tZwWCiKzKzqLUUcKbSUp45D2dOR6XnkkJ+RJmE9QyMnYmnZpyW27FAxEI+OK1fJWthFw+Vhgx8MXhT3/QEnMzfvdmeboFZcXUSOasFJoNMT04VFq8r1MbGPBWPh5jqy2xtyNjyIJx4NRkGWgXbMmGSQ5pJjqIx5RptEl6GlUvSWcJmYW4t2aw7HiK2RZnOJPPboIAymUAwUrYnrNftxxJfEB1eBXVMIYthZRVHn+X6l9gzGMStLSZ69KyRbefZOMaTE5A2H7Q21O+LazNNhg4igbSVfN5TaUh4N++t7KAWdK8Wd7ynmzP6xJ6wsNI5VOhHRRGMQIBSFBM2SI5NxYAybbaULI14JPIMpFHbTArMfmEpDSgs2zGhTKH5CEKSOiCTSMtJIQxc3NONMLEKwO3wO6FxQBa6HSIwjk4VNKYQms+8ih7qkRsHOI8lZsjrb/MJKyKlAHqlKMKVgS2G6gFOylH2klYmsEtFVDiuNlEI8wU2CxgrLdWaMS4oT8rOZ9K6iFSyuKvapJydLTAVtIg0zy909JmcSigHFcndCVSF5D6VHjRZb7widJi8XoDV6m9BxAgr5eM5psvbArDwi5/tlSJamaFYpsj9AUp6TuiFx/GYlodCbI2YxIUGQaYGNhhuzZ3CVQuSoBnRX6L2wfHLMTSSYyhQuMbVCGbmd18x+wOiAnx+wdUYlhaxbkprBRawIbRLcCYJAyi2pOt5b8OWELxEwIBoBko1YMZhieB4uiKoQVcEFSyZxavffuk763qTUty3S/5ayp37E/44fibv/Hb+9If6+8/f3ZU/95032D3lPfJeN8l9ybP9Q/tYfa3P6W5ybP1T//iNf2596Dt9Hcftd2/y2v/+Ivx/8LczTPxYpGWRjYFUpv1nQyMiVGdhuIE1COWmchqo0k7Wgz1YrO2nWXhGqRmbL3ilSdjA51Osn9Kyw0ZPHCyZbOTqFBA9NIcoebzLSKIa1oagWsaDWJ45BYWuHL5fkEql6hlVAxnPJ9hL3JFYkk5E2k6aEFaFPmV3sUaWiyNiDOVtVRGh3Qi6agSXSVGITOC13bBKYYClpgXIKYzQuNySZkWpw8YKum6iuknWDmhJCZmsnMpEmW65Oax5iZdaKo9lArTg3w+aJUgQ1N1yRGU6egmCZkIWnOE8TR5JEKoWLKhynQIgBo8A/X6C9IRzPmTmSK14ZNAklQsgbOBbEVI7X8NxN9CYyuEQ2laoV7uRQCMomfCjEXsgtPE4ztrc06xbGEcU5vXdaaXI22KxRl5HmUOkHzdAuSSGTcyCMDdVWTBPQBSQU8gwncyYElYCqFfFCdlBsi9OCVwVVzxZGXaFUi4w9auwRHpltpVgwkzvvSRVcLgO6aoL0PCFoNbEwR26uLTpp0lbxlfKgGprSoFDotoCfmHaC0hrXKtadQqdM4InceKgaHzXDyaJaaNcw2yPVOuSkORjQ1aLouPQRLxXZOXy0KJ3JOlPGhlo8SieOUeGrsMmZU21I1WPYMJsHxCRyMczaYJtKc3lEgqVkmLTGW6hz4fRw4jmBVmeKqSBQq2FipkiHzi3No6XrHvEu0mbPSToU52ygcdWQmxY5tvTNI96P7LMwGE91mssxkBGygn6Ao7UU3+JkQzVHjBvon45oZShK8SYb2tphVAuMNJ2iX8LTk0brEdyJY4mIAe0NlBVK7ag2sNs3eO3waIZ8otBQdYObCj6CK8L7dQYfsdpij8JCRlY1cxcVRpa0tiOVO45tw+6io80TdRnIl0J9vEJUBj8hwwZJCmxB5QjKoXWHfrDkvjCtDwxyRJSnSgsRKAoRh3IzmIpIRAeHM46mgYdOYWJkyROJBZI6zNOagQlsYCEHhrpGlcwmw7oOjChO+gor79A5UYaG1aoQNTwVYXlc09YGW4WHD4/YEnh2F3njHdIa1ovMdlgSK3RNJK8UrijWD4qpVsxS2FwJwwBRNEc8dVYYCpmAnQSXDdUvOc0HRiKaRJuFThWyPpLWQll6dL3iVO7QJdN3FoqHkAldpKCpriFc3lDlnjYVPr5IjAWmZDg1BStCI8KNO1K1JWAhLzm5QrTCBw+ge6F4xf64oXuWsP3Iw6FFW49zjvlZR7ldIgfH6fKRtlRchtR7bIyYkDlsz6SIWWn6fKBaCFpji6JkwyxwwxHRlmwsq73GEVAmYDdCGTqG3GGnkVA9mRWtejwra1VEKwUqUDlSl6Clx8cN9hYmlUn2hE0JFQWCYj1m5jpRXWZdI6OrjCthzK/QKtDOR6ptyEoxKWBRyLES5hkErFScJMZGEXRk1DM3akabzKRhXhtqUWQxyFFhLLRd5qg7oq3IeiDeRhqtWCwsbrSE6oizxXYzXkW6OSMi1G+Ujd0+IAhz51BTi44VFbbUixvyogE8zekRXSNCQkYLorHNQNILKg2awlw0pRguUjiTXqphtGuUzKiaURRYnqjLASaBY4+Onit3BAMjlYkB4zOth17WqOZcLTGc1th6RJvAQ3yFcwGrJ2zdwawp0SHekUkoq/BUuiw0UUhekOpIZcm9c1xLZlETWtUz6QhkLehScWLY1BUnPZH1hA2OrCPBx29dJ/0g1ff+lwZ/z6b0t/HnWlj+PS9Y/1L4r9JHf0kVyu8jtH4fKfVd7WF/6Bq+bRz/mqTU7zqP76oc+nshC76tf/8UxdVfow/+ms+Fb1P9/a776Lv20d+zau9H/O/4a39//Sn2vfV6g88NvrQcZYWyB7TdUzWk1FFjxz+ZW2otBCWcPlIs5iXLw5pfzgMXBF6YwK/+aUWSBNPM+k0hrRXzC4P6+qf4+Uib3kGFoDZM9hn6k6+Q2iDjJc14rkyn+ojsGnJsiKFjrXtUP1Aub7lcNgS9ZFtueGG+pBkC5k64pSGjUMCUnqNVprFbBECp84LcTvgsXI6aJ/UJsc/Is6951SnsCPNnlanvkIWieRk5hkqdzdlqp4TaVuYXiefSQLS8e1R0XabNhauHQEQQNI6GTmWMOisk7p2jong1J76Sm29IBEGuH8BmuHuOrB6gOWd0+NGjqmZezax34INmbBqCjxSXaZ0i719Q546muQfAifBRCpzWhqFzPOYbnk9bFmHkN2GNAEoJfRe40Vd0tuNXV59hTwY32rMj6yqjFoX61rOcE22Bt9c/RcwDmh0399cEnZhsJugrFmnPqu7p/lmzPVaedkKfelK05GzpuwBKEA3hVaTOFRkqqtFcjHA5KA4vXzANDfPO8uHNF4QMx2+qS6XkiNHTL0Zq6Unxgtol1PKIvnrik8YzPa24//qKikIWe7h8T7NrcY3Gb+Dybsa1FnOzIGFgL+h3mfqLE9VXUoHH+hx/yjx7t+UojnEl7F4X6q8XLOfKazWS9E8Y1w2PHxf8V3eoOVKVoEVRTE9oXvCz0+dQZ95aj/8ooW3FHmA6eIoF9TLywZfgxo6D/pCmHohd4etPHcpv0XPGfeaIc4uulUue6JQiq4638jF8+I7Ojvz8S0GpDsGSauLtzy6IG8tH5ci7L5ecRoV88BWvA3RR8Wb0pBcJ7So3/1bh4iPKqufx6lfUr58j4wL93wOXwxPNaebtV1esNkcWbeHZ9lPuzY6DHhCE3F5T3JLCwGKzw/cDT8eCOzp8sFy+VPjHhH5KHIoiIxQUsetQSmEw/MR8yH0s3KeE725ZFcuqOJYXO56y5jFZhtGjXlTs84L7TaVcFdLzSr01qPESFa7gU0EeE/V9Qn0EvrE02uJ+LRQq2WcG8xVGFE1xfBwjo9bcW8c0tkCHUivQmuZyR/fBe/b/+hKJFqUUq395RxkWTF+9xvuvWKrAlcrcvWpoG8tLY/jsq8jkM/ll4NUvBWtayosrdg8H2pB4kRKf8Zp5XeEnj6h//xS0gVd7+i8PLHTg+etIBU5jyxdvn2Fo6dczL37+NeMvN0ynnp1c8JoBt0ocfl5pf3XAHCOazPETQDWsP3/OttmRfaVdrumeHilB8VZ9SOO29KrwYbzCujtmXfnX9AkiGq0STfOWfp7pSuFSK77iQ/asEZWR9VuwA+phBc0lpjWsrj5jpKMax8u15vQuMu0Sk5/Bg3FwuVEsby8wx57PXs282I2sTzP3GcZrIaw1plsjJoAkmi8dOdxQ6pJ684br48xyyHxe17im4HxBVyGtMrUv/PPXLbVYMhrDgZ2z7IwjTJeIFAyJX9gn1Fooa82pveC47Tg+NHTNe3LtyHXNs+uJlGbmeaL7JFBOlvzoeDlPGFlTueJ9c4eugSZFxqajr5VNStw2Db1UbnIm03LSiidbuawzSRmO2tG+jiQvDAZkFKyCxsHFb4TgFQ+vNCpX/FFY3QrX9oK06nl8vSZ//R5JERS8nhVZCe8aWIwznXgu7TOyfaRKRCJ89UGl9C2X3Q3j13vKdM62SvKM2hTk+g3+scFEDQjhJlHEwtsrlvUBjeakf8LrfkCrxOeHyut+SdsXDi/eEG4t6WSYZ8+SAd0kTp9q3KPFDYrlFJgaT7aaCqRnN2Asq3//NUrdYGhYqffsG8fkNXIZUEcHs0FEs44BVwvbtj9TSQ7CJw28aZGtpciJS72i1569f0c0M6ISH58MW56x5xIAb3c4e+CsfxRENCG+pKmPeP3E+C8v6EOkOUXu31uuCdzowP8Z/jAx9YPb975LkPMPfYwf8SP+M35fJtGfY5P6HwqP7zL3f6i8oj+kyvpbwh+rOvtbxw8Vtv7XJk3+FFXgD3nc/5jPv+/nP9RxfsQ/Jv7aZNV3Qb5KqLmhBkt2j2ACymTsyWJUxriJmoXRCgcr2J0w10RipkhDwZFrh8wjOlf0bIiXQhaP3PWYcgAdyMaTqkEUWH1EHfX5rXyqJJ+wFMxoyWlDpiD9gVIKUiDtLyEO4EaKfyC0PVFbij2yioboYLeJmO0JVCV0CWXXmKhpj5lFiVSVOXYV6hEnICfH6dRAqZTFQL7IKKvQTwZdNCopoLLKhRorUyjYNqG0RodL4ECRytFZzjGpigiMpUVXTVs1jUxkk7hbF0qYcOUcLJ61B+WxbkSHDBlq6yi2AhU3Oyrf2N+eZfSgccFxFSCnkSoBlyPTN3bKUit2grYY6AxDXRNrC0uLyQFTM4JikImcExdPlZQ15T+m56iQbGHumDshNZluKDglGKUYakMSRZaK9SNlkTi1mhxviLPALKRqqT3QVcJ4ordC5xShGnAatQT2a2KMnHRkOniSscil4jBfY/PEKo+crEXrclYDxUiomrkOEBXNUFhV4dRAnCPa7tGAzxPdQTgsEtEpiiieZaGMwuEpk6VQg6WaHh492IjSI0EdSdXCxTX1NJKShvsWtRzJTWY/GWx+QiVDP1ZUWlBLi9g961Wm2MKDMjxGwaSKT4m6U6BbGHraaCm5MO/2PKUFSjpCsVgWlFThFuRSUaWQnKCqxmQgQwGKS6hnj5iSMUEjTtithaKEy4cVcppIufIwekqYcZIxj4VTqwhGcRkz03ZBtobJHSFEatGUcMHFaPCpcPdW4eOKLvVYnyhVMWXN3cstQQoWwwYYRkUcCu1iTxcKWiw7CrWvJF/ZP67w84w1ELWQV5raGVa7NVNfSa0Q7iu5g7pR5P01g0BW9WxvzC0xd7QvD5RVoahKTT2LXeQ6z4QJlDqh2sr2bkUdFQqLap/O4dlHRXmhqEEhAxBWoAqoTKma3GnKFTBM6FCwoQAaWwU3PceZiDczaymctueqh3KjafZgc6VQqIfKqBVvpaGbI62pFBQnVpA15jgR4wLnM+rFidX7Iy0VURnLPUk59t5QrDAlz7vHNZ0ESIoXEjAXI7WLPBwry1zwkimS2CtNUxV9PnGqhixLtG6I6gmnCl4N1E0huooaR2K2FCwYTV1nkp3Z7rf0KZCLUN0tamXAC0kCo1SSQKyaWR9QZcLfZpbFoP2K+1eRxfEJlwxh4WEP7pTxQ4GyoKwWqO4WZR1KGeKuMM8eWxyLp4GUFEfTsPArUjeRm8Dzh5nBCLOy5HCNzZmGe8JckNKR0KwYqaJQVXOZFxyGzClktrqSq5CKQqsLZhWIJmDcSFcLfSk81mtUCKhhohwHig7wzCFDRROxHDkehVKEXCxyt0SSpkTFrlqMVmCO2Hx+5RCNY1UK/lx6lCZnilI8mXPweJXKImWyXJKUpWrLLPf4WfFiaHnYDEiF+mQ4lhU6ZK4fDuzkiqwy48s95lAgFcwdpAKCgipUkxAUqloSa6qzzKvEeizYolH0mDFgkqM7NOSxEMiEhaGYPaIqMlVyl1DO0J40ddA4ERb1QDaczzkXDr3DalgfHpmMZ0JTdxo1ZWwpWKfJm4p1wsvHylRbsreEXAimkBToeo0+ZayKLHjOZCDYibQQ3FRYBOE0WFK1aOu4Vi2SC7lklikweJiVRm43yAgQ8S4T/YFqNEwGaRbURjiFgMojy5qJzqFNoGrIm4jMDokaNk/IGCmzp9xZomR0hgssZmkZVotvXSf9WTOlvi9+qCDq/8r4IcKz/xHxuza7P2QFrR+SGPq2dr7LRv0vSVT9PnXUf5zHXwp/jxXR/prn+ucg1n7oc/gxWPxH/Da+6zz4WySpyrKgrIAVst+j9DfvGE8erStKReasGIxm7ytXeyG4RGgmRF1TRROoyLBHJY2dHeF1QY4ebheYZocyhWItoTQYXWnMERkUKCgqI32iZoWeGnJZIHbANAMlCjV35OOKnAaKn5EuEPRLStEMZuDnOIwtPC4L7jgiqpL6DKY9V+MrExfFMDvhsRe6dMJUjQyOIXRUk5HlgFkJpijKO322dXyDvkDNwAyqzSgcOvYgI0VnBuu+SQY6B2Dn0qBxrMTS1ICxlfsFdBJpUjlvYNQKQWPdHjsLKhqysYQ2U7XQnixVKbKrlE3Ez442aZZRKGpCdEUnRVGGqDUJ0KHiS8G0MNWWSVpYVswcselcyWlkIohwsxMGD6MTVIU6aWTSSPbnSkrrymoX6UvFVcPnqqHWClXT2YncZcKFJp42SFS4Us/f7W1GX0ZSKBgnLDvYphZxGtVp9NsVRU2cbCWOBlmCWgmHdxvWpbLkyGgMRheMLrhv8qqECZsMTSosR81Doyk6YVzEKOhzYbOH/WUlGQVZUQvEBFupQKGIIhqH2fdoNWPsTGoGxPeE1Q2+BCQYZLuClyeyrxyTZV326CJ0kybXSwqVwp5VW0gu85AL26bipXA1VaZDQ8VT0gaPQdfA/DTwVFdU06E0UDyqVMxTRqxCrJBMoms0ziikQgKKLZjrLfatwwyGYBT7taJozcXDEjW8o04zh/0N3k80OqCOwug0yis+RpChY1ae2U/InJBRI+OShVQWJO7eabTpsQacu6eiCQKH6y1tXdCVhnU9VwXU+f/f3nusS3Jc2Zr/NuEi5FF5UiChyGLd/u6k3/8lenJ70JdFASKBROZRIV2Z2j0IsIpdTYAACcWq+HOSg4g47ubKbPnea02sTUc9OZgsZmYolVIqJbydUTnFuYwaQ7k0yNrRHOfENhMWmf4+k+qCrArsloySGEwkxIqUW9AZ1e0D0WRyEnI5LaBvehgM6GykNBOb9xWoR5xBqiPmmDBPkP5P0L1Djw7Jl4gJYDsmPKES0hqcHzFdxJVwaqkqK+zxBufeMNOJ65g47irKXJDLgt+fTJRLUaQvjEXYDzUf0+MrS4nKG2akUqjHIykuSbOK9CIx3x7JkilJaMuW0dYcuSB7JSbHbrdmnY/MNfJMRnQ+cvSJtztlkcGJgkwcMGTNXI4H7soFPTOsrCEfETPgfH9KNHNC3EUmsWTjMa5gZ4r6zGbYk6JCUdQ/IBcWGoERooMghkOy4I6YkKnuMqvyDGdqHl90tONA1Qv7eomNGbtP2DChNxfk5QzTPmBNhUmOtA0MyeFwzPbK5IXgPc/qS1xlcKJcPAWKMwTrCXlFU97R8EiOM3LxBKlpzZaIRbViVWrGwVEk8eQHokBUEBZARk3PzE0sU+aiZH7LS4gd7pjwQ0e5EeTKQe8wNmBdYBwqchZK8eSn9Wn9ZQoHEcROSHVg3geSs4S64noISIGoFp8Sk3U8VR4xSp0zy5Q4yoqoFZphyk80o+HmrmV/MZCKIkdLLyvaPHKxO3DUJWERGW4P6FjwQ8E/FKgMagRBSeYkfgIkWRIsjIsjfig06vAssGNBRks1WXwp5CqhlYHqALmgeyFfFkyl+M6TRoMtypojT1V18l9Mic47vE2sbM/WzYl42o3FTQkL+LmSLywIXP5BKKuaXHlCGAl2IgtUusD0TzgNNP6WwW0IfmRcw23ItJPSdTXFO7COtTTs5cikyjxG+sqQMMi9R8uEyIT3mdQMBFuoDpdY46AWjlWmLhNNGSiuAkBFyctMwaFF8Bcb+Nr3jAdzuk6ccoMQZxXDdfU350k/ePve9+XHSEf778x3GcMzP84i94doGfzPiX7fxDelhf3ldvxcx/wsSv1z8H3vFT/kveX7tuGdOfOf+bbz8ccSpf6h9r2LFXOfaF3hy80LmjIyo+epuqFkj2QHOqE6AgO/liOHZ8rDc0P5fz7AM1H5I0UKkiwEx/Byj40G39WA4leJ6jrRv6lxY6aJE/kDISZH3FdcTwODzHj0V7CeWIaBF9sjb/UFyRZMdSS+dpTBU75sWepXZBp685L204zkEb3fMPY1Ok/Ihz386SOMRPzNWz54tyCEms+15ap6h5jMIM1/DIIoVbhETELbd3RrgxZL9ViTwrNT4lV9T7ycUIHqsWWaVgDU9Y52atDseAI+kD2WzOdljrkxGK9Ux5GXYYkrli+q3SnJ7s/HbrpEnGH9yZccn14S+5pK353SglAwcDEpVYbHWuCiRl3F8KbllRTWEunLOw7eE6znYrIYIFvDmw8u8ccDduwYlyO1gxq4eQt6AToD81bYO09nT3PpRZpRU/HukzvM4wzzNGesa5x0eHrstCQsj4RFhx4uubmYuL4YSXs49pZ9XzH2l9wujzxfbrl7V+gWlwzrK37z9guOAk+Vpb4JcKzRp4ZQB5CCoPhhoDhH9BXTuKBYj1SOX41fcSyO97oAabCzjmr9yMdzQzwom3eFrawpZoGRCxr/BaXyTLMLtHqDDYVqX3PxUcUUIw8Pe66en87X6b4ivJoopqAj8O4Wm5Xa73kdAmE2583r1yCfY4aAf2e5ChNFhE3dMC0GfMpcPUB9aZgqwztXgVtjIlS7PeH2Cm0d1AH/pmOWIx88C2y+rBgnQ19nlq8T+Mz9JlMfa+ogXISJviiTeo5yw4frBd5UfLYzvLh+w8IdqN6fzpapgd/9WslfXME4x/2rB3lAU0feJGTzHFILn35B/eiw3deVds8jZW4pd59SXRyw9ZHD20cWz15SzdYc/u2IXu6RVUCqa9ov9viHjqFtCdESo8fKcxZ6Ry1bHm9ecdnuWTYdX82WXL5fsnxq+dNvvkK2hWoHn1xYNoOy7eDj6QNo98TZls9uR0xRXIQqwkURLpNhvP+Ix2J5QPHVe8pFIF4liIXZcM1qvGX84PekvZLuHNPrCtsV3GMmTq/JGlE58OnFE9lnOgvjviHFJTFdUF58hkuFZl+dKh9LjYkzyicjy3Hi5bue4X8ahn7N/o+vmZOZBDZGSO2/nQTgZ0uqzwM0NfmjK9zxPdIF5FF4PT7DiyW2gT/N7hnrjMxb9J1j1mdeTUe+Mp8QDDj/Dqu3FOfpl5GX6Q4fJrpdZqfXFOOo6w6M4meG9cdzdm96pmiJty9Av0TCQPW+5nW6xpSa3+ZTlahhYMme7hqMEz55ErI6JmN5qL423pfCaAea3GB9zfSbJbPfPWH2A7sPBb2fYzrPrJkILzJ5JVAuef3VgeV+4o/WE5YLtKq5fgpMTEQigqDpgpLnxFIoqy3MjjQ7i5smpAQOHzZoLphUaA4165iY58z7umG6TsRVofw/l1/7goHIqeJNxCGy4IaRK3p+mwtFKozxNPWGfDEnXSypv3hPOw/MLxO1ge3jkvv3a6TOVOtIcxFIbyPRReIs0O4ayrIQnyWazyrKtCCGNTf8iVENG1oWrw+UmRJbQcPH2GPEPW7AFBa58Cwkhg8LuYVSCb6XkwjoLelLi0ZACi/GC0qpOFBzEEHNQOXv+fPjQhFW4QWUyFA+p/9AqEvFi/dLvni+I4rSbBuUQl0KNzHweZkxUCPMMf9yD3WEjUM14kJh9aDEV0KSGcPbD/nEfoX1HX+4yFR9jQ/CbBgY65owawgf3fDqDfiD8KY4nH/EycRsaNlVLTj4yDzwpErvlfhBxN5bJAjhdWD9ZaHeCfumQUVwqryaJvpSmFRJQFc/J/gFTXnPNFlyFmazyNoEKhW+GD7h6vKB+WrPvWmITxeUfUtVf4WPE1Iiu5cCFozCR18Jm9yw0+aUxCeKQXk+TlTX4G+E/+t/jd86T/rBlKYf2zvqvHj5//JjTLp/iW+Xf2i+qU3oh+D7mpv/oyLKL/UYfZs/0E/xd8/8ffwQFXrfhb8mSJ0FxX8ufmnPil/CNvwt6mlBnXsqO+DNACaRFK7ynt7U9L7CpYmSlZw9j01DsA5NNVx48pCZpgq5rDAhYTXAYQnGY6qKqT/ij45ZMejUk7Kl4wIzDOTkiXHGvjiiVBCFy27Al8jBeTRV2GrCXwZka9ExQglEVlgRrvUJcygkzUwKq6sJYwrmXhmmJ1QKdlPY5BmJCkEY0gpjI+LTfwyCCtmMGE3IAM6eknvqGJC8Qb3DLWaUoOSSCG7EFEdVhOsUOeiCkRoRgxJQG+EiY7TgRksVLukkgo3EtIJFQEyi2fW4sscmYf4IwR/IyxH2kJI/mdW2R6ag5GKY4hoODjWOgkc4oAw8uQXZFMAAKybTE0yCrTILmVozo7OkqYHR05eJMp2qtlKpCcmT1OJcz+gd0TSswhpXEsYe2cUOXAGnhOURr4nZwbJte4Y6s5HCxQFMNIgW5PmBIyNlgqg3oJ66DIyLzFiUQMH2BnEZng/UT4kshmgN041QKJQSuZw6Ip4Rh5MKi0fFIddHKh1ZHSFPhUlqhtsZdp+xZURkS5sCWTJ5Op5aq0LBhRGjGVcysxHax5ZkoVsEbGcwRSBBnB2RdDLz1wW4ZuIq3HOcMmU6XdM7//W9Rk/phZKhEeE4rphE8KsjMR4oxZPiGg0JrxPPtiObWWA0mTtNjBeX5OCQfkfYG5xzvCwtu1WmpMT8fWBaz8B67GFip/GUZug8vnEYv+DJjeRlRmt4cV+zGRsGPMaMzHcJ2xd2wQMTuESKmdgq2Wd0UrxVvCoxbMnHjjRFDC/w20KzfSCNgdQZVBbUlzWttFgrHEqLSKRyGWO2xKSkMsOFgewdfV4ij5lp7EECOYyIh7SAsBdircQb4X54gGgp/QrzlBEtUKBUkYOpGfwMcR29FXIFJiwxpqORA8NjTcqZUbaMqVAqRW8SWjJaBBHDxfqREJVhzBz6FWIm1HTIVEHxaLG4wdPmyCIlsNdYVZweebdpmRIcNbFPSyYMY/uOLJeoOCrApAv8EFnsYd9GnGauv4RdyeQokIWd6REq4tiwLo75BIdYWE0Trih75yhyxKuyCJGkW8gVC2mZ8oqhBLI9sG4zloIbA8PikiSOzZcTZdDTub3bYZNCrIhhzs5M1PXEq6tEdz+Sxgi1YpOHbNgboUoFUiHpCusmnBRu0jOG4igFbjZHQoHsKm5SxaHMmbQipBY2BdMXUs7QzbCpZVEM4RhIbiRgiQslVRb7lBEZEFcoFzOWrtBQ2MQliGA8aEjoZMlTxRQcfTYUhSkuqQ4di9BxsAE1p+swBLBicAgXgDGZnYnMy4RiUZ0RYk17TFykLV0pMCllqxyNI04Z7zuimxAyNhWmdUFcofKCt5noQZOhnCIhKCg1juQy+IHY1hjjqbqG6QA5J3Q2gYEhCpti0U0mJUu4bqj3LTEbRqNcToaUCzuNTDmSEXoceX4APxF8ZJbBJ6h6wbRPUGDezagPHhVh7yKrERIwigJCdPDUKO4QaItSvGAfE1SZ5IBwCntoJZEHhxFhzsShjhRnoLtiFTvaFPAiRBFMyszfPZH6BRmDXO4gTGhIZD1gSQjmdJ/BYRKs7jOjg9IIN/F0j5QaqqtE6iwlwcMzJe5m5NFh3EBxCXU9aR7x24q6q6lSS6EQgUYH8lTojo6QZ+Q0odWIpiXBz8EWpBeMKk4LnTniFoV1PRIPkHNNzo6DyyzGjHv42/P7H0yU+lsL0e+S0PVj+Yf8M0xYvw/fpVrsm/yN/quNxS+Nn2pR/c9wHL8pTe3n2I4/83OM2y+19ezvGYu/d/x+aK/BfyZT/DM/Dt92Lv4S749VrLEpImbC1wNFhKjwbNyDa+jqBi8TCU8uFZu6RmiQcYYsDGRH6Sq0nWHNcIqW7lbYpsbNa7oY0ChUoyfljoilM0uaXsnqSTrjSHUyJqdw0QeiLTxWDs0WVwlulZHfKzolRHoO7kM8gUu9o+yVUSyBisVFwIWCfKlo3pEBORr2UpHFg0bGMsdKpGLLn19Bi0KxA/q1N5Pj1JLn44DoFpUabZ/hthGSEuxI5QfqLKzGwpOxjMafRKncUJwglxPVVvFBcHlJVz0QScRwgVQd1inuqWD0gMtQ7wzu+RFbCewrcq7IItgmMXZgiiGWBjrhVGplKTKRZOBYr7EEvEKyMwYfGE3CHAoNmZnNiNTkYYEeGibdkadEyoWeFtRjiqGmZ6qEUllejHMq3WFczzgmkjn5h8V5x+xoWfaWw+XI4ISgcHEAELQCudnTd4XjFhq5xOtIVQ50rTLmQs6Z2LeYdcZeBponCOpOrYgXhqIFpsh6nwhYSvEYGoypcEaQywNVl2i3MGEZVg3j1QX19ICJI4aJJk+kZAihoCqYJJgY0VgwQWmi4DcVeV6I1yOzxwpJQhHIlz0mWKpDS5kLzgcux3vCviFkizrD0RhEoY4GSYLJggeO45Jglabao2NPiS0l3VLGJ9w4cL0b2X2i9LUydCCrOSY5qmHLtHeIVNw0V3QXR7KO+DuHrBdQWdyw52AHVJTaNVi/RL3nySXiSvEe/uX3LYM6QqXY1LPYJKo9DK0DG1CjxEGgUagTmcIMS5Wg5A2hCyQRjLvGbe+oph2tKFN/QS5z2rmhtTWmNuTcUJmMtxPZ7IjUlNzQho5SzxlTi9ntmPLAZBUzREptSEtDeF+ItRDXyqN7RLaXmP4SXw4IBRHIy8RYVUQ7p7VPpAZkZmFziy2JKh8ZdhWJxNhsmEKGBpgVOIAUizHCcr5lmgwlO47jDV4NtXaIrTgdNYPrHU1JrFIk+yWWkVoeebdZMWE4SmQ7rklloFRfEfwMb5TGgHm4oCkjl3bHfpGxY+Tqq4neVxRrUKccZCAXZcozPh0dGgrDqFzGSAHe+hrocaXQpEJkh0k180PLF2bJZCNVPXE1y9Sq0EH2M5JY+rdHfFswTrGHLdVgKLlisHO2bstsNvDR84A5FIaohDn4cLp3H6xlkQNSDFFbrCa8ClfhinsMoUTW2we2aqGquIlLoqkJzhGLxe9PYpiaDVlmZFvRxoLNPcEc6dsFeWbQmUGfMpjx5Ol2VTOfCssR7tMc8QWp0kllGhwMFQlDD0QMMS2ZHwLLXplcooiiosRYYVC8KBc2c7TpJEqFiJpCEWHIDt/1rIeerqnQADooe2tRMt73RDsiCi4KeQ7WQm0E55VSBAkG9M/zu4QzFucS0gSyv8DGGc1uTtgmShUp60RxwmAcOTiqfTjtz0VN2F+iE2SZaNUykYjA8HVkRsSh7RbqQHanisFmgDYJ3cUWiqeeFsy6lmAyT9WBZwMUEUZzeqZFC8eZYdFHGs1kp5hdQZ3CdcJOM6rAKRV1sIgYahnY10oyHre5ZC4DcwpiDBYwKdPcd0QcuXKYiydk4yEIiQFLxiIkzag4TBFW90p4nSkLuDqCArmB6iKhQQjZsLkGpgYzNfi6UExCbSQvEr6z1NKckiURMsqMHSHCoDV5ainVBvUDJX1I9obcCNIZbFBsTnRVZLYILFaBTefJ0ZPTjEM7YkOg6v/iBdU38KOk7/2Zv6e8/q995x9dgPwSJ6j/CN9k4v1tn/m2z/617/xXGzP4/+/Tz72o/aYx/q809mdR6pcrSv2U/C1R6vve489j+vPyc19TPxf/SPvec+cZWTPKkrrdIKKIKs/Hka3WPGjNbBb/vYXg3//z9fguk2MdPX9Yb6AYquABYc2cay75t1GJix1yeU/15TW5DsT1Abn/EJaKvBh4/vsVU9uxffHAq3fPmdzEw/qR2Ztn5DoyPdtQPzSU0RGCQz4NrCTx6hhxW0gJelWePoBgIQaojjVV09K+uqA/viP3Cd3VX2+8gijhOmBiZvGVEpoGNacZfTvOQJShHqjGEQRCOwNV6iLcBs8XL04x8Hy5ho8XsMjAWz55c4XNht9/vOHjbcIPwpdTzVg5sjFogTpHamNZrm/p948EBuLHBfteMEcBhRieYY3jk5ef8e7hGfupRm+/wHceOzVM0wsq/0RbH/jgg8jbccYmOsTtkLbFuZoXh0J3SAw9DPElqMVr4Tc80NPTM3FoWuxlopplXnym3F0LDxcCXUbKDMkN1aGHuEbzAmm+OokGQH05MLbCVMH1Z4VumnMsM+TFI8wUUxnqNw1STimIQ+9o14HZ9cjjprAchesgVOs5Wy/cWaU5FMoiky4TH/xbg40JJZDqBr9S6qvEFDOHUXkaBNP+ijIoZdvT1kfmxbOKc758+R5jEosET1OB5GhSTT0NxJnSPRMkCDp4ymbGp9JRjHJfeRCY0/JSrukv7klxIN5NHOqasJgRX12yuMuUTjkelLrZ4XSkGkb2XKPO0rQdt0GpsiHpjLdYginMqiN9M6JAExri6hW5UpQ/IPcfIuMcI0L1YYexGfm9o/xGyFVh+L9Hlr/Z45vE9AfPbZ1wRnk7eFRA1ZPGV9T5LVaOpEWDG8ZTYMGvHU21RFPLl//b85FsWNqetz7Tco0xLV9evcUdHKb3DENNIxd4P2O8Tbh+g506EKifCW4hHP9YeBEja8389tqzXGQWVWH+WyUVmJzh8//jGnmaqB4nPokTd+s1j4sV//MLy70a7kS5Kn9gCczEsJllbKxw0XPfFLIIonA7jkSumOQZt/oH9k558hYt/6Esjxcj2ipmZqnMa2axYzE88e7Lj1mknmc88Og/oi09l/mez379guGohLeBth2ZlcgqBN79j4+JfUE/P7IyL1A7Ev17mGpcsdQIT6+2lEXBzA389jdYM1I/+4z8eKr4NApm8ORVZvzVyO2/vaa4zP2n72GfMIOh2lYIkLNjmFpEamRuMa+FZ/U7tLc8/uFDykcdWkX0ELl8ipjg2XGLq++Y+Y7X9cQfZ8rRg3ihuvOgLdOHrxDeQ+5gP1LtK8QYwseBj/4Ey11N4RO+RNhXgfLxV7z8aqI+Knd1w/P4jEorvqi/4PYqsHQeefNr3rx8y9PiiA4Lqn3C5ET4eMKYk/jr/1gRLwN5Iah8ym13z6zb8/vHOVWVcb6ACClUpFihrFiuH2gWB472U/S4R4bDfzykVOiHBeZFh70eMb/9iLLaUlZbqrsaUUGM4F7NKMdA2SYYX5AWO+LiiXrXYBRElOF24vqg3G7hf98oRIcfKoZxyeWl4/bW8eXbB1ofuJhl/vT+I8yyp3n2wO53S4wqVZUx6OmfnJ6Fs5xZh8T9YonLkWXf8ZYbohdoA7eHQGwS26vE7N0zWpeYX2z46m5J9Bmue5p9zTzDDZF34sm+0MwDswdI2bCraqZnpzZjglAfambZ88x47srEpAX9+rmcs2UMc8gTMwl8bAfeP5sTgOr9nkt5jVrHnb87CUWmMPkJulvaZPk193x+lemd0OzrU4WYF6YLqPacUmKvPdU24npFRs+V9DiTuKtrynyNFcPN/Vsenp9COz74Ah7WEGfwiRF2j4XjqBxeGJ5vhTZ4/nT7HNd3uDCentFTg4mO/2E2PHpH5yo+qm95MMLWAeuJeK/kQ0Ze36FTQaNinln8xuG2HqZLIhNRRspiSxWu8dMVQ33Ay0hFYLvff+s86UdN3/umhcZPkdD335WzePfX+aH37Yfwj/quv/lfgf/OlS2/1P3+sfz5vul3v6sx9Zlv5m+1PP5c4Qa/JL5LVfY/8pt/L9E7lIyVAb6uV1Lg4D02FW7yxDG2aGtgBpoO2CSYaEiLxDgVjCp1n0m2EK3ii2fSiQ1bUh1PJsG7NUnnSBH81IPtKWIp2aN2e3J2frpi3/RomWieTia/Ugru6GGR0cqh+wbfn9octtGT89fLA18oAyAnY2JRQ9JEl3bEQ0WJBp1N3ORTC8aTOSUm4WC8FUxtkGgwD4ZkT6auy+SJOpFRKIW0BlXD4/uK0gesS8RVT30MmFEpzrCNBlMMfivs/YLKCBddx2OTKNbgo6UOASeGcTgQYkWkIh9hmRPeJI45YG2P4HjcXjAGARKNu0LMBCTqck/JjjEu2e525FRwORNzTRUylesxB6VxilkKabfHpoKXzP3FgOsj1agsU2QcaobiONgdEwWSod2vkZKBnlAnZnqkSYlNXKP1KQmxHK7QKWCrieM8YIlc9AP7/QodAFdYhIlYK+NMcIsVxbaMYc6sPFIXhQxPQ4uGyI0ZYKmMjZ6SATXiTMFa4dHAMDrMY02TBlDFFkHGIwShlFOy4eQj22aPBIOoJxaoB4NBqAW8XqKToFtFi6MOiZWOjE5IX1c/VTEhMvLk9/RhRHNBnMemjBt7xp2Sg8NmZUnExQnnDPXlNdOoJA1QYMyJ4GC8gYtHSxZld5tZuDkEQ/8V5P2EaQqLG6GtIiWPbHUibjOIRaqWxX4PNjFWLU0x+FI41pZtVEyGmBwXlztsE7jTR8JuxI5KM1bEVU2sC9V+QG1Gc0Cz4egMhRoTVwzakI3gOodNJyMWWfZUYUmdhf5QSC6R5wnDcyR05O1Iahx7UXKE+TGRm4ZtUzG5IyXrqeLqaUKGDAgpN8z6hE07DkWYFgZZCPW7NWE90a8C3fs5JlqMOspVQ+mBQ6HSibwYyMsnzN0SnyeqMhC8/3eBfLZXrAGzgG6/ZQoZExwiHVlGulwY0oTRSES55IA3wt7DLC8wBI5eiY8FTRnjE2PzAI1Q2iWXG3BTgZCQfo7khB0CqZpwGrnYWh6nFcYXlld7+juDFsU+WnzsMDnz7H3m0SnZeeLVDaRH/BR4EQx7l4nOUJxw6BLaFWI+IIeMaaFpW8LlRCkDxT+S6MlZMYclxHgS1d2SVO+RakLsA2wqbG+4GE8tu9EVxk45qCU6UHYkwNhCiWDnYB1Me8tTHrEuEG6VjW3pk8PZDXGIuCyEvqDpJDBxfw22B0lMixnN1GAn2GnPMTimuERVaarMok3kndKnClVPNo6UHGFwRJtZhESbEztryaUiZ4/3EwurNDh27oikhHSOGCwNiVoy+bFgqoJcQ74/osmgxytShAWRhQRWHVRiCSsL/YLKBhbzkZwndBL6e0c1JFKwPIYWlxymOxmOy6qmBIhjwvsJbzyVaXHTBrRwtIZSElEtO3tBSRVkA1PNZLeoFnzvSK2lV0M6rhGbcUaR0SEqhKrwNFdmm0wJMBrPvl2QimFKmUxEs4PDEhmPZCZ2lTCkOZmCcz0AnsxcOyazQCrP483AkC0pGXLTYsuESEAR0iyRAe0arspI45XtTSEHi5kMWSC3mWIgb2uaEHAk8kFYTgmrhacmsfMJ45RQJ3wwSPI8NUq2c4x4DranTC1ky853dHMhz5WbQ6CuFNMUnh0DyQRyHYmTY07GS2HjDKOBYjLb1YZ0VPwRkggugzEKnSFNFo2Cqwrt4KlSzbYE1CacLVA8Mguk1Ra2s1NbPP5vzpN+1PS9H2qh8fe0q/21739XA+m/9vvf9Jmfu/Lih+Ln3qefih/D1Py7CLH/KP9o5dt3/c6Pxc8lOvySxY5f0vH5sflH7+H/+bNnvh/f5bn2z8YPeW3/FM+/4j1CxkuPnIp0UOBoPUtNXGpgpyuyt8gCJCRktJjiyIvMYCBOQjvC5DN9m3E4JgJBJ7If0LBEdjcUU2FzxI0O7JEsLTkuUHOHxjnsbuif/xE/RJqNMLUjgqHuHelVgHB6I2uPhoJlqzCWCiPQuoQOBYtiv963XCL9NMD+GshwNTBLloySbIYsZGcYL4XGC7a3SLHEKiHAcnJsgShfNxculKQwvTc0o8dXSpz1+Cew0RDbmkM4/W2/NRyeL/BW+DDv2UsmWIMHvCZMUYZuR4xXZFp0Z2hKT2MmjilhTU9Ry+PuEtURUyUqe0GWDUpHxSNTviXpnKftgFBwmolTiw0dzo6Uo6W6VvxM6LqOKk9YjTyuLBdJWUww08QwrBjCnL09MJWCTMLisISyo9iB/oXBpYE5gYf0MWU2QVNId2vc0OGqzHCVWIfIksShf4kCopmZ9PSzwjg3uLoh9Y7QKVds8FLIangaPWsStybSvxCyhSFDkQhWcF4IAuPkiPuGGwrqClUN5ONpoSUeI0ryiWMTmB1qKJagQj16nCn4KmJlTYr25IUjjoaOK9nyla2I1oIxNFMiS+TJ7wnThCD4umbWj+gUMYeRFBtMURYaUVWsbWlXl9TlAdKpcnHUTPGF4/PCr46ns/LxKjOXFXSefYxoDLicWd0ali6SfeHAgWnvKNrgZ5bqEDCSkHpNnT0+QPKW/SiYcLpo2/ZAtQ7cuw2hFGyxLDvPuG6IM+CzSKRQSgAqOgPReJp8S18SU56ou1OVoxow64F6l2i6gh4m8nVAFgWT1+RjpEwD8cKyL4UpK5d9ZBdqjrqgM+HPOhF2kxAFo4aAp55G2tjxXjLjwiBXjuruOYeFYfesEL9s0WzACO16TclK2USMfYD5QLkOpIePIO5wsj+1OunJ0LjpDb4RrBp2ux0lWDRXeNOhJnFMhjFHrGRGEdalw4ildxX1NCc6R1eP6CZhJON9Zpw9wGyOW96yHAOmBMaYcP2SPGashTiPuJhZbRyPssDMJlbXif7gYDRUjx6jAz4WqneG3a2SZo40X6H9A5VEbrwQ7IRaIagw7BPaCaoH2FdI9tQvK0afyTJi6oGSDLnzyN0CyQOCBfOM8mGHLIeT6LB9id/XXPFIr4WhKHqAA4a+AsOWUgQrpxROWkFriBvDpgyIFOyVsu9qJDgq/4QOYHqLDopWCtbA3QXGKcaPhOs51UZpjpmdHDlqA1qD2dPUhXmTCE8n4TmLQ6xQsmUKlqSROiZWqbC39usW75qZ71kprKPjYHuIiomOPnqgUBEIjwF9YdArQ97uIa6Q/oKUI950XNoJ7YTYWsZFjb5f49sD87ajGyI5Wo6jxafIQMNxnLMUwUyKBoWPHNoLqROci1ipaO2MOj8xCOy9R0/SEL1dIAoWiyZP8Abh5F02zjwhWoZ9TV1v8RRkcAiQrPK0UD7cZEq07PGE9ZpShHI4njybUgWHK4weyTaxLYmYahBF7enlkqOwZqSzl4yN4+GZol8ByVAWDcdxwGTFYKBWVIGHlpXt8FXi7bVB3ztsEhAhN+UUAPBgaSnUUug7ZZYzhkRsMrvGIN6AL/jOwOjYzoTGtDip6VyCsMRMFds6km8MtlIuHyP5GmiUy7eBbhkZfCKMnhmZ2sCdO6Ucis3s2g1mr9hO0FKf0oKtoH1FmRyaDFYG6uhpk+eBEecS3icke2IzkZYT9nGJZkP6DpLTz56+94/yQy9o/hlEqW/ju5prf9v3fmn79EtDRDBftx8Apwjnv+D7not/KZp+2/H5a+fmL12U+rnb937Ji/H/bPj9U6cm/pSVUt/1b/09969fsvD4Q/P3Vkr9kq+Dv5fvep/9vuPzbedYSn/bE+Gb+Bfv6bxnqBzXzyb2obDpBbP/BG97fLVneB3QpBCUXy3hYNc8yCWtuSPeGeKXlo9kjxdFLPzpY2EucB2VP9mTkKD3M9q2J7tA8CPt1FKWSrpJ/Ob3Sj+r+PKDGb/+/Z48NmzKFdvll8yd8tJWvLmKpNHgHypAT12ECi68oC2eFYW7+o5UBtx4StKJ8xn9i+fw1sGUUTpmssTYSKkeGKeWUgyQURSZeezrC/TzQDsMfCgPvLksJJSLR+hnDRbL1WBobi6YEH7/cGDJCsGw154PZI83ifva08Q1gmHyG8bVNXlmkOUXCCCT4N9UoIZShGH0tHXCG4OfbojVFpUOP0xQzSmN5Xh7xG8dtj8951clURXLQ/oQ/IbiR8bFNewHZMg0XDKTe5x0PPArSjlidOSlu2SwO4b6SPg4UN7foA+XJ2Gr2lHZPR+MiZ017GvP+OlLuAN5X4hly+xlpH2WGP9ooJxaIRHwIWJjZPvCUHcVzd6Tvn7DriJM00tKASRh/+VLdOso7xrKasdFUZ5F4c7XZBEUmNyALZY6VehqxAyK3QoHXiEuUtXHr6+DU1fph1cTYzLcHRzX48iQPQ/acs0BQyYBR3kOUlGpw/MVhgmDslkq5XKJ+/BDPvlfFUEPvLn9jA/fntaA714L9VtP6xw3rzyfH4+UI1y+b9m+6ikGqm1DMwwoMNY1z0Mg+8Ln14p9/BgQ8vVnNF2DDzP88JK9jsDESjpSFcmzTHk5wfuK+ii8jpHPb645NA5NGz7tE9Vk+d/jLRcXD8ztyOJJeKosR2PpxwrhlOjI9R+QS4MxBv8HhyCU4pimV1zzFQs/0Pz61zw+PnE8HAElpWuKbaj/9fe0X65w24b3N3dUS6V1wusvDccxc8yFxxcGP3hcdExXFXka0Clhdi8RaoxzzF8qV/vCcp8Y9A1Pa2G7NjBLlIcKHipe6JHKrDBmyb3bMEYhRoernmPtAWe3xGc9F53jalvzeXlFXO3Qizvqh4Z5yCxj4o2+xFcVs8axOR7x5chcD7y0L9jR8hUtt8vIqIG9jvyPDx857C1/+rzBiEWuAvJhz+UG4qFmt1nAxSPLIrzsW+bATj1/KjX/IhvGpuHN6jl0HsKITE9UTaJZRy5eBb66+4AqVLzSwhcXNdME+mXE/utbdBZIKuR3ERHwzyztv2WYDGnW8skUUOBPrmKa1pSqIC/v+fQeqlHZqrLhFR7Dv+o7IkqnDX/kQ+Yff4FdDQRXwRuDHPnaovvrlw4C/jbStIbbvObzt4bQWX5jat6079nWR3RuWT0o1SD084YXi0RTFe5S5hBgUoH5DIYRmTJtnBOCI2WPmGukfQ/tDl4K/t5jjpbpZqQ6OuxoGOcjerzFjWt+8/KJ+7rnUSL591e8wnAlymf1gbBM5CaxepNZiaE1jt/lDzHuiHM90/QKWxKOiUX1luGqYrhoqL6I5EUmLgv6h2tWVwPr5we2f6pophmz3PLFB3eYSagOjnH6AL04IM/uufldJqpjqGpGXcFsQNZbtLZor5RtwXafUpeemd4RmhrJFhMc3W865kPh9iswvxL2lfBeoXrrkXFOiTcn03AFrzBpj9iRutpzGwKUTIcy1g2hOIbR0c7yqRIIZbxq0OjhfUNTbzDmJIBfTJFUHHdcUn99XwxjA9d7tA5glOrQMPfw6nXgqy8qStfwLLwAdgQzcucn4mKi4NDNa+Tle2gDZVpT7UdECuGDmtefd7i98BkfYl69w9Q97l1FMDOyVjB4hAajgmNHfnWg1JH8hzVS11A5ZOZ4Mdwzi0feU7FKkUoLD75BRSkq9H1NXSWcVfrxksXzLbNFz/pPnvu8oKPiX9v37ELFPjccn12hnUHHArd/pN0X6iNMbUu9TFRNxDzAKJ4olqsuMDhH5z37/fZb50k/i9L0j1STfJsPz9/7m9/le/8sC5/vs9j4Z9mnXxJ/TQj6vv423+fzP1ZS4E/FL2Hb/1L0+aFaef7SxP37/s5fbsN//v+ft/HHEg3+Ugj7Mfzlvq8g9fdw9pM68dfO6x/z3Pln4i/H4G+Nx09VobfjGvKIDxN9ZwkKIoXrdkvSwqTg9haJCQmF3dIQxogbOxSwXcJoZC+XVLOJet2z9KeFkx6VWcnEcaKQEaCqLO18SYoFpoLbGI4xMuaI5p7jRaEMmXQc0KlmKonHOsLeIMESppMgI3VGVhHZHwnJckCps8VqRaj+/EJG8MeeOhdUCpNVVI5kn8nLhC0RmwxQSHVC60AJBVlncpPZHS3JOgpK8Eo1n1Eh+PGIlD3OGK7shLE7kjoIliNLLBkYaX2PBQaEVdWBgePG0aSEROhCfTLLdRm5iKeEp2JJ7kgqnsIS4xNGA3ayXG8WWCq0Eh67kcEoyQIccDriYmDd79gXx1h57KVF9gKDYv2ellNVzpgLlTc01jHcT3RdYJIOriEzEUvi2CeG2hBqcJsD1VDwJJCBKoMLhi61uHbCzybizv67OHRrlLSw5LZhqQcGU+iMULonTDTYLMjekocKpWE+7TAi7I1jMgnUYLND0ppSYCgFc1wjsWDIlNsOHxPuGMgLQA1Ey5MquSiCcGguKQmaMTMzYLAktVgJBIRRLGsKvq7Q9YL9fEehkN90PFmLL8rzLQQskwEtmZhX2AjD+wPrWIih4ihLbB0QEYKuMa6cUhZXie12jUuWm73SaSACsn9GG47UecBxz+SUoNAni4sDhEhMhUWM1MaxezEn+gnsQFUFjqOcTPJf7tB+IvSZvatoitLkzFgSvevIArNO8UnACZuLhO4XEGu83xE1M4hFHkZyDzY6LmVgLx2DTSS3ZpAaUyzLriWakycObabRChMthzFS1BCMoXRzFiHRhHCq7FtM2Dm0lVIbRxHL9rYh+0grmbi3xFQofuIYLrHl9Lc8LSoRqkSZ3dM0wqpuCMdTatv+eWT+/hGJI/Qgc0NrCxVAfUCzpYyCPEs0IbI+CE+lYZgVzPqRrlqRB8UcAputZQTM8wDpCnEWtwmMPmIruETok0dVOZiCWWRIiYtDwpCQEnDTnuQFrRN6EaEvxNGzfbdgWfVYBvZHgx4nQMgXhuvdBXY/MpYNrluTndKNB4pxWCO0Y6BfKxlP2q+4qiaoYV9u2a9G7EwJk6c0Falk7neG2CSiRFy/xcYIXSFqRMYVJI9qZEFPJYLhij4/0ZN4qC3h2pAbw90juMlxoS275oIZO+ZMLEJmmjJdKWhfsOJoxLI6FPJJRyFIwdqMCIjsyPOAzJRnD3A8GsJkud5ZQjoFIxQD1g44K3DsWQ4JK8qjm+iyI+lJmDZBELVkZ6BYrFpm1ztyjGhQnNsjerq/91fXFMnYbcRNkbYp2KI8LA6MLqGjMoY5JhV8OaC7mpwMU3SU2QYtGXmcMZnplHyK4rKnGSMzkVNLGwLqyJc7kgb6XKj6mkqUejYRjoaYlKc644+eUfwpqTYFRBO+dKSLCQowWmgbSqkIQ8tuGSF5wmFOMD2FjKehWkyIZnRbaKY1RS3Fd6QMUizeZaKeqsqQk2G+SML6iCQopSbnOXlSRk3cx4kxzTGpJpYdcdURfCS5hGSDD8IsbehyS0wtGgppMkgRynvlmAy1U27SE+MekpuR0hJjA85MrGrlED1TdmRtKfmIloz3kaVGbBQe4oyh6GlfBKI0KJYptVg7YMisZU6cdcQm4HN/ehkTWw4mU5UJr4EtltFANhmtjmBb7Myy6qBkQ/aGRYpELQwW1gkqPc1FHCtULPEvijm+iR9FlPq21qa/9ZkfYxt+jO/+V5v4/1fbnx+DH7pK48deUP+cnjP/HfhHBYBvEnB+iGP0bSL9jylg/BStrH+Ln7s675fOf5V7wA8lMv9U7OSaeXlglo8cjzOCU8Rnrpotx+QI0eN2DhMKNiU2BcwY8I+nfbQhYons+IB6dmR+27MIYCLkg9JOGU8mMzHRUruG+aJhsztAMJhJOKZAzAlCYXcJUkXK2MFQMSlMbmS2n0F0xHhqg5I6YxYJO+yZxDApXI0zrKkY6/+oEvbHI7MynYygqwYI5DqTFolqDFhjUZSymCiuwNTDSsjRspsq0tfR41OlrJczai3I4wbViFG4dtC7nlI8hCv2rDi59Yw0dY8Thali5Q9Yq4yPFfMpI0nYUmFMwVQJuZxgV8EkZH8ghStKabF1h5tGfEjcxBtkXTFV8G6b6CvFmwxmj58m2py5ipHo10x1jXummKjIWHBux1yVuhgeycytsBLL8b2SdGJ0cvJiySNljBwflNEpyRfapz2zEJmTMAI2e3QypNji1gl/kYj7r48L8AxhP/dsm4ZVt6XYws4rmA1mcPixgp1FY4VQM5+E7IRj7QhuwGaLzQ43rUklEnVA4hrIIAHz7AlzSNiNohWU7CjR8pD1ZEQMHNpL3JSYjVtaOXlKZamZkTio4UBNK4a6rdDnV7hmIG0L5Q8dm+uGNZmPtsKbytGLQszktCCMie54x5UxBBwbmbOstiiWwJroBrQqpEVge1gxCy2vj0qu3qMCpXvBTHtaemCkshUJz5BmLHPGxkQKUMeMF8v2dkkcHjFlxNfQmQp14F4cKL9LTL3QtZYPUmKRM5OBO3sgiHJ5ENqDJdeG+08ntGuQ3FDX74kCuVjM/UhWweC5NgeSPxJcINhrojnFqt8e5+xsIUgkt0KtFZ4aP/aMDpIVpGuZp57LLGQZsPOIvUpUCllmTKZhe9vQhMJ8CBy3FdkEcpM5xo9AFSFxk2bgOrSeGBYHmvmKy3ZFerdl96ywexl5fveEC5zC528NlRiqpLDco52exKpbS32E1Wh4O9Xk2RH7/JGjLrBk/H5it7WkZcI8n6Bvsb3BPh4ZP8jMHFzIyYQ8G2XvFb+K+FG5Ok6nm0uOuLAjLRXak5cVXwhp8PSHSz799A3FJO5SBQewlSVdtFy8u6SaKjrdMJM1oSlM3QG1DizU08RxLQS1pKcll+2X2Moy6Wu26x1KwfczyrJQYuahc0yLBJKo4w4TI6UU4lSQqYHYAgMVPXMUJ5cc04EuZ/rWwpWgLbx/UF5Fx1It+/icRgNLCdiU+GMsbHNhtQdbW7x13IRTC14Qw10NzhVOakuEecTMDM/eQMiGQS1XG8e2guBPzw5jRpxNlP3EAliKcKgCXVH2xdICNlgIluyB6HAY2usN096dquncyaBajWFYf4A9HPDbERcC8yDMkvA07whA6AViS8xHInt0e0PBUQwwu4OhRTcrxqZgjCIq+FyxSIGbSeiuTiKQZIde7shSSEGYHWsaG5jPJg6HmkGUrkm0B0uJDRpW0DxiSHg9Miz3UORUgrlq0akiHRKbpUCs0OMFao5YlEYsflmQGMn3BRsqioHoeobBIWLwrpwS8agQObXgGqNUVYBkybmmhCuyjgymZ5hA4oIqWya+ol8EwqyQgOqxop6UNU+E/CExNjA9koM9tTD2StcYis28SE/s93N6ZkxmjZd7GjNx02ZCqZmyJ0uNZoPkgvcTFyFSZbifoNNCMCe5J9qaXBpSmCGScWZkLXO2s8C0nKgPA6av0Vyxbzsuy0CbM19pgzpBTULdAWktRloufwcHaxm8YzYM7BR6gasMPmcExciKIpb0HaZo37l978yZM2fOnDlz5syZM2fOnDlz5syZH4q/XUt15syZM2fOnDlz5syZM2fOnDlz5swPzFmUOnPmzJkzZ86cOXPmzJkzZ86cOfOTcxalzpw5c+bMmTNnzpw5c+bMmTNnzvzknEWpM2fOnDlz5syZM2fOnDlz5syZMz85Z1HqzJkzZ86cOXPmzJkzZ86cOXPmzE/OWZQ6c+bMmTNnzpw5c+bMmTNnzpw585NzFqXOnDlz5syZM2fOnDlz5syZM2fO/OScRakzZ86cOXPmzJkzZ86cOXPmzJkzPzlnUerMmTNnzpw5c+bMmTNnzpw5c+bMT87/C8K7IjxngFxCAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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       "        define('plotly', function(require, exports, module) {\n",
       "            /**\n",
       "* plotly.js v2.12.1\n",
       "* Copyright 2012-2022, Plotly, Inc.\n",
       "* All rights reserved.\n",
       "* Licensed under the MIT license\n",
       "*/\n",
       "!function(t){if(\"object\"==typeof exports&&\"undefined\"!=typeof module)module.exports=t();else if(\"function\"==typeof define&&define.amd)define([],t);else{(\"undefined\"!=typeof window?window:\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:this).Plotly=t()}}((function(){return function t(e,r,n){function i(o,s){if(!r[o]){if(!e[o]){var l=\"function\"==typeof require&&require;if(!s&&l)return l(o,!0);if(a)return a(o,!0);var c=new Error(\"Cannot find module '\"+o+\"'\");throw c.code=\"MODULE_NOT_FOUND\",c}var u=r[o]={exports:{}};e[o][0].call(u.exports,(function(t){return i(e[o][1][t]||t)}),u,u.exports,t,e,r,n)}return r[o].exports}for(var a=\"function\"==typeof require&&require,o=0;o<n.length;o++)i(n[o]);return i}({1:[function(t,e,r){\"use strict\";var n=t(\"../src/lib\"),i={\"X,X div\":'direction:ltr;font-family:\"Open Sans\",verdana,arial,sans-serif;margin:0;padding:0;',\"X input,X button\":'font-family:\"Open Sans\",verdana,arial,sans-serif;',\"X 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       "/*!\n",
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       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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t[0]=s*(h*v-p*g)-f*(l*v-c*g)+m*(l*p-c*h),t[1]=-(n*(h*v-p*g)-f*(i*v-a*g)+m*(i*p-a*h)),t[2]=n*(l*v-c*g)-s*(i*v-a*g)+m*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*g)-u*(l*v-c*g)+d*(l*p-c*h)),t[5]=r*(h*v-p*g)-u*(i*v-a*g)+d*(i*p-a*h),t[6]=-(r*(l*v-c*g)-o*(i*v-a*g)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*m)-u*(s*v-c*m)+d*(s*p-c*f),t[9]=-(r*(f*v-p*m)-u*(n*v-a*m)+d*(n*p-a*f)),t[10]=r*(s*v-c*m)-o*(n*v-a*m)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*g-h*m)-u*(s*g-l*m)+d*(s*h-l*f)),t[13]=r*(f*g-h*m)-u*(n*g-i*m)+d*(n*h-i*f),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],196:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],203:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],204:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],205:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],206:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":209}],213:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],217:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],219:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],220:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],221:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],222:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],223:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],224:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],225:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),m=t(\"detect-kerning\"),g=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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m?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,m):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return oi}},pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Gn,this.transition={})};pi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1){if(!Qn(n[r].charCodeAt(0),e))return!1}return!0}(t,hi.isLoaded())},pi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},pi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Br(t))return new Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var gi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};gi.prototype.getValue=function(t){return x(this._values[t].value.value)},gi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},gi.prototype.getTransition=function(t){return x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},gi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},gi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new 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e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),m=d.x*p.x+d.y*p.y;d._mult(1/m),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){g=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,Z,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,c,h,m),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=mo,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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g=(c+1)%2;(0===c?r-i<=d:n-i<=m)&&(o.push(f),o.push(p-1),o.push(g)),(0===c?r+i>=d:n+i>=m)&&(o.push(p+1),o.push(u),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var m=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,m,r,n,i);else if(\"LineString\"===h)lt(f,m,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,m,r,n,i,!1);else if(\"Polygon\"===h)ut(f,m,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g<f.length;g++){var v=[];ut(f[g],v,r,n,i,!0),v.length&&m.push(v)}if(m.length){if(s.lineMetrics&&\"LineString\"===h){for(g=0;g<m.length;g++)l.push(Q(u.id,h,m[g],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===m.length?(h=\"LineString\",m=m[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===m.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,m,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=mt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(mt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(mt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function mt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function gt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,v=\"map\"===c,y=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,g,e.transform,q),Y=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new oi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new jn(e));for(var g=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");m.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(m);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",m),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?g():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",m),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(h)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,m=p.after?p.after.ev:null;function g(){if(d){var t=u(h,d);if(t)return t}return!!m&&u(h,m)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!m&&m.seg);var v,y=g();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),m=t(\"parse-rect\"),g=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,\"float64\"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),g&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":346,\"object-assign\":247}],337:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":346,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),m=r.hoverlabel||{};if(d){var g=a(\"hoverlabel.bgcolor\",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",m.bordercolor||i.contrast(g));n.coerceFont(a,\"hoverlabel.font\",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,\"\",\"paper\");if(\"paper\"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v=\"a\"+m,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==g&&(y=e[v]=\"pixel\");var 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r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):\"paper\"===gt?\"y\"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),m=t(\"../titles\"),g=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),mt=0,gt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),m.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),m=15.6;if(f.node()&&(m=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),gt=a.width,(mt=a.height)>m&&(h[1]-=(mt-m)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),gt=a.width,mt=a.height),o){if(mt){if(mt+=5,\"top\"===j)it.domain[1]-=mt/R.h,h[1]*=-1;else{it.domain[0]+=mt/R.h;var v=g.lineCount(f);h[1]+=(1-v)*m}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else gt&&(\"right\"===j&&(it.domain[0]+=(gt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,m=!o&&\"right\"===j,g=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,g=n.height)),m&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,g+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=g;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+g-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=m?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?mt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+mt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-g))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var m=d[0];i(m.x0)&&i(m.y0)&&(h=ht(m),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,mt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=mt;var gt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};gt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,gt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var g=p[o],v=p[o+1],y=g[g.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),m=t.trace;if(g.traceIs(m,\"gl3d\")){var v=i._fullLayout[m.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,m),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),m={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,m).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var g,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),g=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;g<b?(g=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):g>i.width-b?(g=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",g=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",g=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(g<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-g+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,m),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(g,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),m=d.LINE_SPACING,g=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},u.drawcircle={name:\"drawcircle\",title:function(t){return c(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},u.eraseshape={name:\"eraseshape\",title:function(t){return c(t,\"Erase active shape\")},icon:o.eraseshape,click:s},u.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},u.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},u.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return c(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},u.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return c(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},u.tableRotation={name:\"tableRotation\",title:function(t){return c(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},u.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return c(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},u.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return c(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},u.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},u.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},u.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m},u.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return c(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:m},u.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},u.resetViews={name:\"resetViews\",title:function(t){return c(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:y}},{\"../../fonts/ploticon\":482,\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../plots/plots\":619,\"../../registry\":638,\"../shapes/draw\":450}],427:[function(t,e,r){\"use strict\";var n=t(\"./buttons\"),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{\"./buttons\":426}],428:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES,u=t(\"../../lib\").extendDeep;e.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=u([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),m=e._has(\"cartesian\"),g=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\");L(C);var P=[],I=[],O=[],z=[];(m||b||y||x||_)+v+g+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];m&&(I=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(I=[]);!m&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(m||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e})(r)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==I.indexOf(t)&&D.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==c.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&z.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(z),L(P.concat(O)),L(D),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},{\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../../traces/scatter/subtypes\":952,\"../fx/helpers\":402,\"./buttons\":426,\"./constants\":427,\"./modebar\":431}],431:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../fonts/ploticon\"),s=t(\"../../version\").version,l=new DOMParser;function c(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var u=c.prototype;u.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var 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t.match(n.segmentRE).forEach((function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}})),r},r.getDataToPixel=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){return e._length*(n?1-t:t)+e._offset};else{var s=r.shapePositionToRange(e);a=function(t){return e._offset+e.r2p(s(t,!0))},\"date\"===e.type&&(a=r.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},r.getPixelToData=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){var r=(t-e._offset)/e._length;return n?1-r:r};else{var s=r.rangeToShapePosition(e);a=function(t){return s(e.p2r(t-e._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},r.makeOptionsAndPlotinfo=function(t,e){var 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plot_api/plot_template\":543,\"../../plots/animation_attributes\":548,\"../../plots/font_attributes\":585,\"../../plots/pad_attributes\":618,\"./constants\":460}],460:[function(t,e,r){\"use 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T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*m[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*m[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return 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t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",h),o.on(\"touchend\",h)}t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function M(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var 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n=t(\"@plotly/d3\"),i=t(\"d3-time-format\").utcFormat,a=t(\"d3-format\").format,o=t(\"fast-isnumeric\"),s=t(\"../constants/numerical\"),l=s.FP_SAFE,c=-l,u=s.BADNUM,f=e.exports={};f.adjustFormat=function(t){return!t||/^\\d[.]\\df/.test(t)||/[.]\\d%/.test(t)?t:\"0.f\"===t?\"~f\":/^\\d%/.test(t)?\"~%\":/^\\ds/.test(t)?\"~s\":!/^[~,.0$]/.test(t)&&/[&fps]/.test(t)?\"~\"+t:t};var h={};f.warnBadFormat=function(t){var e=String(t);h[e]||(h[e]=1,f.warn('encountered bad format: \"'+e+'\"'))},f.noFormat=function(t){return String(t)},f.numberFormat=function(t){var e;try{e=a(f.adjustFormat(t))}catch(e){return f.warnBadFormat(t),f.noFormat}return e},f.nestedProperty=t(\"./nested_property\"),f.keyedContainer=t(\"./keyed_container\"),f.relativeAttr=t(\"./relative_attr\"),f.isPlainObject=t(\"./is_plain_object\"),f.toLogRange=t(\"./to_log_range\"),f.relinkPrivateKeys=t(\"./relink_private\");var 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b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener(\"resize\",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},m._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),m._has(\"pie\"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];\"pie\"===n.type&&n.automargin&&h.allowAutoMargin(t,\"pie.\"+n.uid+\".automargin\")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),u.getComponentMethod(\"rangeslider\",\"calcAutorange\")(t))}var E=[h.previousPromises,function(){if(s)return r.addFrames(t,s)},function e(){for(var 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u=e._clips.selectAll(\".axesclip\").data(c,(function(t){return t.x._id+t.y._id}));u.enter().append(\"clipPath\").classed(\"axesclip\",!0).attr(\"id\",(function(t){return\"clip\"+e._uid+t.x._id+t.y._id})).append(\"rect\"),u.exit().remove(),u.each((function(t){n.select(this).select(\"rect\").attr({x:t.x._offset||0,y:t.y._offset||0,width:t.x._length||1,height:t.y._length||1})}))}},H.draw=function(t,e,r){var n=t._fullLayout;\"redraw\"===e&&n._paper.selectAll(\"g.subplot\").each((function(t){var e=t[0],r=n._plots[e];if(r){var i=r.xaxis,a=r.yaxis;r.xaxislayer.selectAll(\".\"+i._id+\"tick\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"tick2\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick2\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"divider\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"divider\").remove(),r.minorGridlayer&&r.minorGridlayer.selectAll(\"path\").remove(),r.gridlayer&&r.gridlayer.selectAll(\"path\").remove(),r.zerolinelayer&&r.zerolinelayer.selectAll(\"path\").remove(),n._infolayer.select(\".g-\"+i._id+\"title\").remove(),n._infolayer.select(\".g-\"+a._id+\"title\").remove()}}));var i=e&&\"redraw\"!==e?e:H.listIds(t);return s.syncOrAsync(i.map((function(e){return function(){if(e){var n=H.getFromId(t,e),i=H.drawOne(t,n,r);return n._r=n.range.slice(),n._rl=s.simpleMap(n._r,n.r2l),i}}})))},H.drawOne=function(t,e,r){var n,i,l;r=r||{},e.setScale();var c=t._fullLayout,p=e._id,d=p.charAt(0),m=H.counterLetter(p),g=c._plots[e._mainSubplot];if(g){var v=g[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=H.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,A=H.makeTransTickFn(e),M=H.makeTransTickLabelFn(e),S=\"inside\"===e.ticks,E=\"outside\"===e.ticks;if(\"boundaries\"===e.tickson){var L=function(t,e){var r,n=[],i=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)i(e[r],0);i(e[r-1],1)}return n}(0,b);k=H.clipEnds(e,L),T=S?k:L}else k=H.clipEnds(e,b),T=S&&\"period\"!==e.ticklabelmode?k:b;var C,P=e._gridVals=k,I=function(t,e){var r,n,i=[],a=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&i.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,a?1:0),n=l.text2}o(e[r-1],a?0:1)}return i}(e,b);if(!c._hasOnlyLargeSploms){var O=e._subplotsWith,z={};for(n=0;n<O.length;n++){i=O[n];var D=(l=c._plots[i])[m+\"axis\"],R=D._mainAxis._id;if(!z[R]){z[R]=1;var F=\"x\"===d?\"M0,\"+D._offset+\"v\"+D._length:\"M\"+D._offset+\",0h\"+D._length;H.drawGrid(t,e,{vals:P,counterAxis:D,layer:l.gridlayer.select(\".\"+p),minorLayer:l.minorGridlayer.select(\".\"+p),path:F,transFn:A}),H.drawZeroLine(t,e,{counterAxis:D,layer:l.zerolinelayer,path:F,transFn:A})}}}var B=H.getTickSigns(e),N=H.getTickSigns(e,\"minor\");if(e.ticks||e.minor&&e.minor.ticks){var j,q,G,Y,W=H.makeTickPath(e,y,B[2]),X=H.makeTickPath(e,y,N[2],{minor:!0});if(e._anchorAxis&&e.mirror&&!0!==e.mirror?(j=H.makeTickPath(e,x,B[3]),q=H.makeTickPath(e,x,N[3],{minor:!0}),G=W+j,Y=X+q):(j=\"\",q=\"\",G=W,Y=X),e.showdividers&&E&&\"boundaries\"===e.tickson){var Z={};for(n=0;n<I.length;n++)Z[I[n].x]=1;C=function(t){return Z[t.x]?j:G}}else C=function(t){return t.minor?Y:G}}if(H.drawTicks(t,e,{vals:T,layer:v,path:C,transFn:A}),\"allticks\"===e.mirror){var J=Object.keys(e._linepositions||{});for(n=0;n<J.length;n++){i=J[n],l=c._plots[i];var K=e._linepositions[i]||[],Q=K[0],$=K[1],tt=K[2],et=H.makeTickPath(e,Q,tt?B[0]:N[0],{minor:tt})+H.makeTickPath(e,$,tt?B[1]:N[1],{minor:tt});H.drawTicks(t,e,{vals:T,layer:l[d+\"axislayer\"],path:et,transFn:A})}}var rt=[];if(rt.push((function(){return H.drawLabels(t,e,{vals:b,layer:v,plotinfo:l,transFn:M,labelFns:H.makeLabelFns(e,y)})})),\"multicategory\"===e.type){var nt={x:2,y:10}[d];rt.push((function(){var r={x:\"height\",y:\"width\"}[d],n=at()[r]+nt+(e._tickAngles[p+\"tick\"]?e.tickfont.size*U:0);return H.drawLabels(t,e,{vals:vt(e,b),layer:v,cls:p+\"tick2\",repositionOnUpdate:!0,secondary:!0,transFn:A,labelFns:H.makeLabelFns(e,y+n*B[4])})})),rt.push((function(){return e._depth=B[4]*(at(\"tick2\")[e.side]-y),function(t,e,r){var n=e._id+\"divider\",i=r.vals,a=r.layer.selectAll(\"path.\"+n).data(i,xt);a.exit().remove(),a.enter().insert(\"path\",\":first-child\").classed(n,1).classed(\"crisp\",1).call(f.stroke,e.dividercolor).style(\"stroke-width\",h.crispRound(t,e.dividerwidth,1)+\"px\"),a.attr(\"transform\",r.transFn).attr(\"d\",r.path)}(t,e,{vals:I,layer:v,path:H.makeTickPath(e,y,B[4],{len:e._depth}),transFn:A})}))}else e.title.hasOwnProperty(\"standoff\")&&rt.push((function(){e._depth=B[4]*(at()[e.side]-y)}));var it=o.getComponentMethod(\"rangeslider\",\"isVisible\")(e);return rt.push((function(){var r,n,i,s,l=e.side.charAt(0),u=V[e.side].charAt(0),f=H.getPxPosition(t,e),h=E?e.ticklen:0;if((e.automargin||it)&&(\"multicategory\"===e.type?r=at(\"tick2\"):(r=at(),\"x\"===d&&\"b\"===l&&(e._depth=Math.max(r.width>0?r.bottom-f:0,h)))),e.automargin){n={x:0,y:0,r:0,l:0,t:0,b:0};var p=[0,1];if(\"x\"===d){if(\"b\"===l?n[l]=e._depth:(n[l]=e._depth=Math.max(r.width>0?f-r.top:0,h),p.reverse()),r.width>0){var g=r.right-(e._offset+e._length);g>0&&(n.xr=1,n.r=g);var v=e._offset-r.left;v>0&&(n.xl=0,n.l=v)}}else if(\"l\"===l?n[l]=e._depth=Math.max(r.height>0?f-r.left:0,h):(n[l]=e._depth=Math.max(r.height>0?r.right-f:0,h),p.reverse()),r.height>0){var y=r.bottom-(e._offset+e._length);y>0&&(n.yb=0,n.b=y);var x=e._offset-r.top;x>0&&(n.yt=1,n.t=x)}n[m]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[p[0]],e.title.text!==c._dfltTitle[d]&&(n[l]+=bt(e)+(e.title.standoff||0)),e.mirror&&\"free\"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[u]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[u]+=h),!0===e.mirror||\"ticks\"===e.mirror?i[m]=e._anchorAxis.domain[p[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[m]=[e._counterDomainMin,e._counterDomainMax][p[1]]))}it&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),a.autoMargin(t,Tt(e),n),a.autoMargin(t,kt(e),i),a.autoMargin(t,At(e),s)})),r.skipTitle||it&&\"bottom\"===e.side||rt.push((function(){return function(t,e){var r,n=t._fullLayout,i=e._id,a=i.charAt(0),o=e.title.font.size;if(e.title.hasOwnProperty(\"standoff\"))r=e._depth+e.title.standoff+bt(e);else{var s=Pt(e);if(\"multicategory\"===e.type)r=e._depth;else{var l=1.5*o;s&&(l=.5*o,\"outside\"===e.ticks&&(l+=e.ticklen)),r=10+l+(e.linewidth?e.linewidth-1:0)}s||(r+=\"x\"===a?\"top\"===e.side?o*(e.showticklabels?1:0):o*(e.showticklabels?1.5:.5):\"right\"===e.side?o*(e.showticklabels?1:.5):o*(e.showticklabels?.5:0))}var c,f,p,d,m=H.getPxPosition(t,e);\"x\"===a?(f=e._offset+e._length/2,p=\"top\"===e.side?m-r:m+r):(p=e._offset+e._length/2,f=\"right\"===e.side?m+r:m-r,c={rotate:\"-90\",offset:0});if(\"multicategory\"!==e.type){var g=e._selections[e._id+\"tick\"];if(d={selection:g,side:e.side},g&&g.node()&&g.node().parentNode){var v=h.getTranslate(g.node().parentNode);d.offsetLeft=v.x,d.offsetTop=v.y}e.title.hasOwnProperty(\"standoff\")&&(d.pad=0)}return u.draw(t,i+\"title\",{propContainer:e,propName:e._name+\".title.text\",placeholder:n._dfltTitle[a],avoid:d,transform:c,attributes:{x:f,y:p,\"text-anchor\":\"middle\"}})}(t,e)})),s.syncOrAsync(rt)}}function at(t){var r=p+(t||\"tick\");return w[r]||(w[r]=function(t,e){var r,n,i,a;t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var t=wt(this),e=h.bBox(t.node().parentNode);r=Math.min(r,e.top),n=Math.max(n,e.bottom),i=Math.min(i,e.left),a=Math.max(a,e.right)}))):(r=0,n=0,i=0,a=0);return{top:r,bottom:n,left:i,right:a,height:n-r,width:a-i}}(e,r)),w[r]}},H.getTickSigns=function(t,e){var r=t._id.charAt(0),n={x:\"top\",y:\"right\"}[r],i=t.side===n?1:-1,a=[-1,1,i,-i];return\"inside\"!==(e?(t.minor||{}).ticks:t.ticks)==(\"x\"===r)&&(a=a.map((function(t){return-t}))),t.side&&a.push({l:-1,t:-1,r:1,b:1}[t.side.charAt(0)]),a},H.makeTransTickFn=function(t){return\"x\"===t._id.charAt(0)?function(e){return l(t._offset+t.l2p(e.x),0)}:function(e){return l(0,t._offset+t.l2p(e.x))}},H.makeTransTickLabelFn=function(t){var e=function(t){var e=t.ticklabelposition||\"\",r=function(t){return-1!==e.indexOf(t)},n=r(\"top\"),i=r(\"left\"),a=r(\"right\"),o=r(\"bottom\"),s=r(\"inside\"),l=o||i||n||a;if(!l&&!s)return[0,0];var c=t.side,u=l?(t.tickwidth||0)/2:0,f=3,h=t.tickfont?t.tickfont.size:12;(o||n)&&(u+=h*j,f+=(t.linewidth||0)/2);(i||a)&&(u+=(t.linewidth||0)/2,f+=3);s&&\"top\"===c&&(f-=h*(1-j));(i||n)&&(u=-u);\"bottom\"!==c&&\"right\"!==c||(f=-f);return[l?u:0,s?f:0]}(t),r=e[0],n=e[1];return\"x\"===t._id.charAt(0)?function(e){return l(r+t._offset+t.l2p(yt(e)),n)}:function(e){return l(n,r+t._offset+t.l2p(yt(e)))}},H.makeTickPath=function(t,e,r,n){n||(n={});var i=n.minor;if(i&&!t.minor)return\"\";var a=void 0!==n.len?n.len:i?t.minor.ticklen:t.ticklen,o=t._id.charAt(0),s=(t.linewidth||1)/2;return\"x\"===o?\"M0,\"+(e+s*r)+\"v\"+a*r:\"M\"+(e+s*r)+\",0h\"+a*r},H.makeLabelFns=function(t,e,r){var n=t.ticklabelposition||\"\",a=function(t){return-1!==n.indexOf(t)},o=a(\"top\"),l=a(\"left\"),c=a(\"right\"),u=a(\"bottom\")||l||o||c,f=a(\"inside\"),h=\"inside\"===n&&\"inside\"===t.ticks||!f&&\"outside\"===t.ticks&&\"boundaries\"!==t.tickson,p=0,d=0,m=h?t.ticklen:0;if(f?m*=-1:u&&(m=0),h&&(p+=m,r)){var g=s.deg2rad(r);p=m*Math.cos(g)+1,d=m*Math.sin(g)}t.showticklabels&&(h||t.showline)&&(p+=.2*t.tickfont.size);var v,y,x,b,_,w={labelStandoff:p+=(t.linewidth||1)/2*(f?-1:1),labelShift:d},T=0,k=t.side,A=t._id.charAt(0),M=t.tickangle;if(\"x\"===A)b=(_=!f&&\"bottom\"===k||f&&\"top\"===k)?1:-1,f&&(b*=-1),v=d*b,y=e+p*b,x=_?1:-.2,90===Math.abs(M)&&(f?x+=N:x=-90===M&&\"bottom\"===k?j:90===M&&\"top\"===k?N:.5,T=N/2*(M/90)),w.xFn=function(t){return t.dx+v+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*x},w.anchorFn=function(t,e){if(u){if(l)return\"end\";if(c)return\"start\"}return i(e)&&0!==e&&180!==e?e*b<0!==f?\"end\":\"start\":\"middle\"},w.heightFn=function(e,r,n){return r<-60||r>60?-.5*n:\"top\"===t.side!==f?-n:0};else if(\"y\"===A){if(b=(_=!f&&\"left\"===k||f&&\"right\"===k)?1:-1,f&&(b*=-1),v=p,y=d*b,x=0,f||90!==Math.abs(M)||(x=-90===M&&\"left\"===k||90===M&&\"right\"===k?j:.5),f){var S=i(M)?+M:0;if(0!==S){var E=s.deg2rad(S);T=Math.abs(Math.sin(E))*j*b,x=0}}w.xFn=function(t){return t.dx+e-(v+t.fontSize*x)*b+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*N},w.anchorFn=function(t,e){return i(e)&&90===Math.abs(e)?\"middle\":_?\"end\":\"start\"},w.heightFn=function(e,r,n){return\"right\"===t.side&&(r*=-1),r<-30?-n:r<30?-.5*n:0}}return w},H.drawTicks=function(t,e,r){r=r||{};var i=e._id+\"tick\",a=[].concat(e.minor&&e.minor.ticks?r.vals.filter((function(t){return t.minor&&!t.noTick})):[]).concat(e.ticks?r.vals.filter((function(t){return!t.minor&&!t.noTick})):[]),o=r.layer.selectAll(\"path.\"+i).data(a,xt);o.exit().remove(),o.enter().append(\"path\").classed(i,1).classed(\"ticks\",1).classed(\"crisp\",!1!==r.crisp).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.tickcolor:e.tickcolor)})).style(\"stroke-width\",(function(r){return h.crispRound(t,r.minor?e.minor.tickwidth:e.tickwidth,1)+\"px\"})).attr(\"d\",r.path).style(\"display\",null),It(e,[R]),o.attr(\"transform\",r.transFn)},H.drawGrid=function(t,e,r){r=r||{};var i=e._id+\"grid\",a=e.minor&&e.minor.showgrid,o=a?r.vals.filter((function(t){return t.minor})):[],s=e.showgrid?r.vals.filter((function(t){return!t.minor})):[],l=r.counterAxis;if(l&&H.shouldShowZeroLine(t,e,l))for(var c=\"array\"===e.tickmode,u=0;u<s.length;u++){var p=s[u].x;if(c?!p:Math.abs(p)<e.dtick/100){if(s=s.slice(0,u).concat(s.slice(u+1)),!c)break;u--}}e._gw=h.crispRound(t,e.gridwidth,1);for(var d=a?h.crispRound(t,e.minor.gridwidth,1):0,m=r.layer,g=r.minorLayer,v=1;v>=0;v--){var y=v?m:g;if(y){var x=y.selectAll(\"path.\"+i).data(v?s:o,xt);x.exit().remove(),x.enter().append(\"path\").classed(i,1).classed(\"crisp\",!1!==r.crisp),x.attr(\"transform\",r.transFn).attr(\"d\",r.path).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.gridcolor:e.gridcolor||\"#ddd\")})).style(\"stroke-dasharray\",(function(t){return h.dashStyle(t.minor?e.minor.griddash:e.griddash,t.minor?e.minor.gridwidth:e.gridwidth)})).style(\"stroke-width\",(function(t){return(t.minor?d:e._gw)+\"px\"})).style(\"display\",null),\"function\"==typeof r.path&&x.attr(\"d\",r.path)}}It(e,[z,D])},H.drawZeroLine=function(t,e,r){r=r||r;var n=e._id+\"zl\",i=H.shouldShowZeroLine(t,e,r.counterAxis),a=r.layer.selectAll(\"path.\"+n).data(i?[{x:0,id:e._id}]:[]);a.exit().remove(),a.enter().append(\"path\").classed(n,1).classed(\"zl\",1).classed(\"crisp\",!1!==r.crisp).each((function(){r.layer.selectAll(\"path\").sort((function(t,e){return Y(t.id,e.id)}))})),a.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(f.stroke,e.zerolinecolor||f.defaultLine).style(\"stroke-width\",h.crispRound(t,e.zerolinewidth,e._gw||1)+\"px\").style(\"display\",null),It(e,[O])},H.drawLabels=function(t,e,r){r=r||{};var a=t._fullLayout,o=e._id,u=o.charAt(0),f=r.cls||o+\"tick\",p=r.vals.filter((function(t){return t.text})),d=r.labelFns,m=r.secondary?0:e.tickangle,g=(e._prevTickAngles||{})[f],v=r.layer.selectAll(\"g.\"+f).data(e.showticklabels?p:[],xt),y=[];function x(t,a){t.each((function(t){var o=n.select(this),s=o.select(\".text-math-group\"),u=d.anchorFn(t,a),f=r.transFn.call(o.node(),t)+(i(a)&&0!=+a?\" rotate(\"+a+\",\"+d.xFn(t)+\",\"+(d.yFn(t)-t.fontSize/2)+\")\":\"\"),p=c.lineCount(o),m=U*t.fontSize,g=d.heightFn(t,i(a)?+a:0,(p-1)*m);if(g&&(f+=l(0,g)),s.empty()){var v=o.select(\"text\");v.attr({transform:f,\"text-anchor\":u}),v.style(\"opacity\",1),e._adjustTickLabelsOverflow&&e._adjustTickLabelsOverflow()}else{var y=h.bBox(s.node()).width*{end:-.5,start:.5}[u];s.attr(\"transform\",f+l(y,0))}}))}v.enter().append(\"g\").classed(f,1).append(\"text\").attr(\"text-anchor\",\"middle\").each((function(e){var r=n.select(this),i=t._promises.length;r.call(c.positionText,d.xFn(e),d.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(c.convertToTspans,t),t._promises[i]?y.push(t._promises.pop().then((function(){x(r,m)}))):x(r,m)})),It(e,[F]),v.exit().remove(),r.repositionOnUpdate&&v.each((function(t){n.select(this).select(\"text\").call(c.positionText,d.xFn(t),d.yFn(t))})),e._adjustTickLabelsOverflow=function(){var r=e.ticklabeloverflow;if(r&&\"allow\"!==r){var i=-1!==r.indexOf(\"hide\"),o=\"x\"===e._id.charAt(0),l=0,c=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf(\"domain\")){var u=s.simpleMap(e.range,e.r2l);l=e.l2p(u[0])+e._offset,c=e.l2p(u[1])+e._offset}var f=Math.min(l,c),p=Math.max(l,c),d=e.side,m=1/0,g=-1/0;for(var y in v.each((function(t){var 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o=\"tick\"===t.K&&\"text\"===t.L&&\"period\"===e.ticklabelmode,s=a._plots[e._mainSubplot];(t.K===O.K?s.zerolinelayer.selectAll(\".\"+e._id+\"zl\"):t.K===D.K?s.minorGridlayer.selectAll(\".\"+e._id):t.K===z.K?s.gridlayer.selectAll(\".\"+e._id):s[e._id.charAt(0)+\"axislayer\"]).each((function(){var a=n.select(this);t.L&&(a=a.selectAll(t.L)),a.each((function(a){var s=e.l2p(o?yt(a):a.x)+e._offset,l=n.select(this);s<e[\"_visibleLabelMax_\"+r._id]&&s>e[\"_visibleLabelMin_\"+r._id]?l.style(\"display\",\"none\"):\"tick\"!==t.K||i||l.style(\"display\",null)}))}))}))}))},x(v,g+1?g:m);var b=null;e._selections&&(e._selections[f]=v);var _=[function(){return y.length&&Promise.all(y)}];e.automargin&&a._redrawFromAutoMarginCount&&90===g?(b=90,_.push((function(){x(v,g)}))):_.push((function(){if(x(v,m),p.length&&\"x\"===u&&!i(m)&&(\"log\"!==e.type||\"D\"!==String(e.dtick).charAt(0))){b=0;var t,n=0,a=[];if(v.each((function(t){n=Math.max(n,t.fontSize);var 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n=t(\"fast-isnumeric\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../../plot_api/plot_template\"),s=t(\"../array_container_defaults\"),l=t(\"./layout_attributes\"),c=t(\"./tick_value_defaults\"),u=t(\"./tick_mark_defaults\"),f=t(\"./tick_label_defaults\"),h=t(\"./prefix_suffix_defaults\"),p=t(\"./category_order_defaults\"),d=t(\"./line_grid_defaults\"),m=t(\"./set_convert\"),g=t(\"./constants\").WEEKDAY_PATTERN,v=t(\"./constants\").HOUR_PATTERN;function y(t,e,r){function i(r,n){return a.coerce(t,e,l.rangebreaks,r,n)}if(i(\"enabled\")){var o=i(\"bounds\");if(o&&o.length>=2){var s,c,u=\"\";if(2===o.length)for(s=0;s<2;s++)if(c=b(o[s])){u=g;break}var f=i(\"pattern\",u);if(f===g)for(s=0;s<2;s++)(c=b(o[s]))&&(e.bounds[s]=o[s]=c-1);if(f)for(s=0;s<2;s++)switch(c=o[s],f){case g:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[s]=o[s]=c;break;case v:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),yt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":y(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,y(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=Ot,y(a)&&It(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(mt,kt,Q,$,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(mt,Q,$)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;y(r)||(yt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Zt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b=\"ns\"===at?-e[1]*a._length/O._length:Zt(a,y,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/I._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{\"../../components/color\":366,\"../../components/dragelement\":385,\"../../components/dragelement/helpers\":384,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/clear_gl_canvases\":487,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/subroutines\":544,\"../../registry\":638,\"../plots\":619,\"./axes\":554,\"./axis_ids\":558,\"./constants\":561,\"./scale_zoom\":574,\"./select\":575,\"@plotly/d3\":58,\"has-passive-events\":229,tinycolor2:312}],564:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/fx\"),a=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),i=r.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var f=o._mainLinePosition;\"top\"===o.side&&(f-=l),s(t,n,o._offset+.1*o._length,f,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,f,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,f,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var h=c._mainLinePosition;\"right\"!==c.side&&(h-=l),s(t,n,h,c._offset+.1*c._length,l,.8*c._length,\"ns\",\"\"),s(t,n,h,c._offset+.9*c._length,l,.1*c._length,\"s\",\"\"),s(t,n,h,c._offset,l,.1*c._length,\"n\",\"\")}}}));var o=e._hoverlayer.node();o.onmousemove=function(r){r.target=t._fullLayout._lasthover,i.hover(t,r,e._hoversubplot)},o.onclick=function(e){e.target=t._fullLayout._lasthover,i.click(t,e)},o.onmousedown=function(e){t._fullLayout._lasthover.onmousedown(e)},r.updateFx(t)}},r.updateFx=function(t){var e=t._fullLayout,r=\"pan\"===e.dragmode?\"move\":\"crosshair\";o(e._draggers,r)}},{\"../../components/dragelement\":385,\"../../components/fx\":406,\"../../lib/setcursor\":524,\"./constants\":561,\"./dragbox\":563,\"@plotly/d3\":58}],565:[function(t,e,r){\"use strict\";e.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearSelect:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],566:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},{\"../../lib\":503}],567:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"./axis_ids\");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,f=c.yaxis,h=c.cartesian,p=r._has(\"cartesian\")||r._has(\"gl2d\"),d=0;d<o.length;d++){var m=o[d];if(i.isPlainObject(m)){var g=a.cleanId(m.xref,\"x\",!1),v=a.cleanId(m.yref,\"y\",!1),y=l.x.test(g),x=l.y.test(v);if(y||x){p||i.pushUnique(r._basePlotModules,s);var b=!1;y&&-1===u.indexOf(g)&&(u.push(g),b=!0),x&&-1===f.indexOf(v)&&(f.push(v),b=!0),b&&y&&x&&h.push(g+v)}}}}}},{\"../../lib\":503,\"../../registry\":638,\"./axis_ids\":558}],568:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../plots\"),s=t(\"../../components/drawing\"),l=t(\"../get_data\").getModuleCalcData,c=t(\"./axis_ids\"),u=t(\"./constants\"),f=t(\"../../constants/xmlns_namespaces\"),h=a.ensureSingle;function p(t,e,r){return a.ensureSingle(t,e,r,(function(t){t.datum(r)}))}function d(t,e,r,a,o){for(var c,f,h,p=u.traceLayerClasses,d=t._fullLayout,m=d._modules,g=[],v=[],y=0;y<m.length;y++){var x=(c=m[y]).name,b=i.modules[x].categories;if(b.svg){var _=c.layerName||x+\"layer\",w=c.plot;h=(f=l(r,w))[0],r=f[1],h.length&&g.push({i:p.indexOf(_),className:_,plotMethod:w,cdModule:h}),b.zoomScale&&v.push(\".\"+_)}}g.sort((function(t,e){return t.i-e.i}));var T=e.plot.selectAll(\"g.mlayer\").data(g,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var i=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,i,a,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(i,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=i.getModule(\"scattergl\"),h=l(r,c)[0],c.plot(t,e,h)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function m(t,e){var r=e.plotgroup,n=e.id,i=u.layerValue2layerClass[e.xaxis.layer],a=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,f=n+\"-x\",d=n+\"-y\";e.minorGridlayer=s.minorGridlayer,e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,h(s.overlinesBelow,\"path\",f),h(s.overlinesBelow,\"path\",d),h(s.overaxesBelow,\"g\",f),h(s.overaxesBelow,\"g\",d),e.plot=h(s.overplot,\"g\",n),h(s.overlinesAbove,\"path\",f),h(s.overlinesAbove,\"path\",d),h(s.overaxesAbove,\"g\",f),h(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+i).select(\".\"+f),e.ylines=l.select(\".overlines-\"+a).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+i).select(\".\"+f),e.yaxislayer=l.select(\".overaxes-\"+a).select(\".\"+d)}else 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yt=b(\"rangeslider\",\"handleDefaults\"),xt=b(\"rangeselector\",\"handleDefaults\");for(y=0;y<j.length;y++)q=j[y],W=t[q],X=e[q],yt(t,e,q),\"date\"===X.type&&xt(W,X,e,U,X.calendar),K(\"fixedrange\");for(y=0;y<U.length;y++){q=U[y],W=t[q],X=e[q];var bt=e[m(X.anchor)];K(\"fixedrange\",b(\"rangeslider\",\"isVisible\")(bt))}h.handleDefaults(t,e,{axIds:rt.concat(it).sort(d.idSort),axHasImage:P})}},{\"../../components/color\":366,\"../../components/fx/helpers\":402,\"../../components/fx/hovermode_defaults\":405,\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638,\"../layout_attributes\":610,\"./axis_defaults\":556,\"./axis_ids\":558,\"./constants\":561,\"./constraints\":562,\"./layout_attributes\":569,\"./position_defaults\":572,\"./type_defaults\":582}],571:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../components/color/attributes\"),a=t(\"../../lib\");e.exports=function(t,e,r,o){var s=(o=o||{}).dfltColor;function l(r,n){return a.coerce2(t,e,o.attributes,r,n)}var c=l(\"linecolor\",s),u=l(\"linewidth\");r(\"showline\",o.showLine||!!c||!!u)||(delete e.linecolor,delete e.linewidth);var f=l(\"gridcolor\",n(s,o.bgColor,o.blend||i.lightFraction).toRgbString()),h=l(\"gridwidth\"),p=l(\"griddash\");if(r(\"showgrid\",o.showGrid||!!f||!!h||!!p)||(delete e.gridcolor,delete e.gridwidth,delete e.griddash),o.hasMinor){var d=l(\"minor.gridcolor\",n(e.gridcolor,o.bgColor,67).toRgbString()),m=l(\"minor.gridwidth\",e.gridwidth||1),g=l(\"minor.griddash\",e.griddash||\"solid\");r(\"minor.showgrid\",!!d||!!m||!!g)||(delete e.minor.gridcolor,delete e.minor.gridwidth,delete e.minor.griddash)}if(!o.noZeroLine){var v=l(\"zerolinecolor\",s),y=l(\"zerolinewidth\");r(\"zeroline\",o.showGrid||!!v||!!y)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{\"../../components/color/attributes\":365,\"../../lib\":503,tinycolor2:312}],572:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\");e.exports=function(t,e,r,a){var o,s,l,c,u=a.counterAxes||[],f=a.overlayableAxes||[],h=a.letter,p=a.grid;p&&(s=p._domains[h][p._axisMap[e._id]],o=p._anchors[e._id],s&&(l=p[h+\"side\"].split(\" \")[0],c=p.domain[h][\"right\"===l||\"top\"===l?1:0])),s=s||[0,1],o=o||(n(t.position)?\"free\":u[0]||\"free\"),l=l||(\"x\"===h?\"bottom\":\"left\"),c=c||0,\"free\"===i.coerce(t,e,{anchor:{valType:\"enumerated\",values:[\"free\"].concat(u),dflt:o}},\"anchor\")&&r(\"position\",c),i.coerce(t,e,{side:{valType:\"enumerated\",values:\"x\"===h?[\"bottom\",\"top\"]:[\"left\",\"right\"],dflt:l}},\"side\");var d=!1;if(f.length&&(d=i.coerce(t,e,{overlaying:{valType:\"enumerated\",values:[!1].concat(f),dflt:!1}},\"overlaying\")),!d){var m=r(\"domain\",s);m[0]>m[1]-1/4096&&(e.domain=s),i.noneOrAll(t.domain,e.domain,s)}return r(\"layer\"),e}},{\"../../lib\":503,\"fast-isnumeric\":190}],573:[function(t,e,r){\"use strict\";var n=t(\"./show_dflt\");e.exports=function(t,e,r,i,a){a||(a={});var o=a.tickSuffixDflt,s=n(t);r(\"tickprefix\")&&r(\"showtickprefix\",s),r(\"ticksuffix\",o)&&r(\"showticksuffix\",s)}},{\"./show_dflt\":577}],574:[function(t,e,r){\"use strict\";var n=t(\"../../constants/alignment\").FROM_BL;e.exports=function(t,e,r){void 0===r&&(r=n[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)],t.setScale()}},{\"../../constants/alignment\":471}],575:[function(t,e,r){\"use strict\";var n=t(\"polybooljs\"),i=t(\"../../registry\"),a=t(\"../../components/drawing\").dashStyle,o=t(\"../../components/color\"),s=t(\"../../components/fx\"),l=t(\"../../components/fx/helpers\").makeEventData,c=t(\"../../components/dragelement/helpers\"),u=c.freeMode,f=c.rectMode,h=c.drawMode,p=c.openMode,d=c.selectMode,m=t(\"../../components/shapes/draw_newshape/display_outlines\"),g=t(\"../../components/shapes/draw_newshape/helpers\").handleEllipse,v=t(\"../../components/shapes/draw_newshape/newshapes\"),y=t(\"../../lib\"),x=t(\"../../lib/polygon\"),b=t(\"../../lib/throttle\"),_=t(\"./axis_ids\").getFromId,w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"./constants\"),A=k.MINSELECT,M=x.filter,S=x.tester,E=t(\"./handle_outline\").clearSelect,L=t(\"./helpers\"),C=L.p2r,P=L.axValue,I=L.getTransform;function O(t,e,r,n,i,a,o){var s,l,c,u,f,h,d,g,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return 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e=[],r=z(t[0])?0:t[0][0][0],n=r,i=z(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(z(t[o]))e.push(D(t[o]));else{var s=x.tester(t[o]);s.subtract=t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function F(t,e,r){e._fullLayout._drawing=!1;var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(h(a)&&p(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||B(r),o||(E(e),n._lastSelectedSubplot=i.id)}function B(t){var e=t.dragmode,r=t.plotinfo,n=t.gd;if(n._fullLayout._activeShapeIndex>=0&&n._fullLayout._deactivateShape(n),h(e)){var 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r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(h.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},m.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s<i.length;s++){var l=i[s],c=n(r,o,l),u=e[l]._subplot;u||(u=a({id:l,graphDiv:t,container:e._geolayer.node(),topojsonURL:t._context.topojsonURL,staticPlot:t._context.staticPlot}),e[l]._subplot=u),u.plot(c,e,t._promises)}},updateFx:function(t){for(var e=t._fullLayout,r=e._subplots.geo,n=0;n<r.length;n++){var i=e[r[n]];i._subplot.updateFx(e,i)}},clean:function(t,e,r,n){for(var i=n._subplots.geo||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.framework.remove(),s.clipDef.remove())}}}},{\"../../lib\":503,\"../../plots/get_data\":593,\"./geo\":588,\"./layout_attributes\":590,\"./layout_defaults\":591}],590:[function(t,e,r){\"use strict\";var n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../../components/drawing/attributes\").dash,o=t(\"./constants\"),s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"../../lib/sort_object_keys\"),c={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1},griddash:a};(e.exports=s({domain:i({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:l(o.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:l(o.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},tilt:{valType:\"number\",dflt:0},distance:{valType:\"number\",min:1.001,dflt:2},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:o.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:o.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:o.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:o.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:c,lataxis:c},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../components/drawing/attributes\":387,\"../../lib/sort_object_keys\":526,\"../../plot_api/edit_types\":536,\"../domain\":584,\"./constants\":587}],591:[function(t,e,r){\"use 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d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var 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n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),m=t(\"../cartesian/constraints\"),g=m.enforce,v=m.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,v,\"bordercolor\"),fontFamily:s.castHoverOption(g,v,\"font.family\"),fontSize:s.castHoverOption(g,v,\"font.size\"),fontColor:s.castHoverOption(g,v,\"font.color\"),nameLength:s.castHoverOption(g,v,\"namelength\"),textAlign:s.castHoverOption(g,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1124,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var m=n.getDfltFromLayout(\"dragmode\");if(!1!==m&&!m)if(m=\"orbit\",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m=\"turntable\"):m=\"turntable\")}else m=\"turntable\";r(\"dragmode\",m),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),m=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\",{willReadFrequently:!0}),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1124,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],610:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:l(s({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},computed:{valType:\"any\",editType:\"none\"},paper_bgcolor:{valType:\"color\",dflt:a.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:a.background,editType:\"layoutstyle\"},autotypenumbers:{valType:\"enumerated\",values:[\"convert types\",\"strict\"],dflt:\"convert types\",editType:\"calc\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:a.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:l({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":365,\"../components/shapes/draw_newshape/attributes\":451,\"../lib/extend\":493,\"./animation_attributes\":548,\"./font_attributes\":585,\"./pad_attributes\":618}],611:[function(t,e,r){\"use strict\";var n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map 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t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;d(c.style)&&(u?i.pushUnique(n,u):(d(c._input.style)&&(i.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),u&&i.pushUnique(a,u)}if(s){var f=o?p.noAccessTokenErrorMsg:p.missingStyleErrorMsg;throw i.error(f),new Error(f)}return 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m=c.select(s._subplot.div);if(!(null===m.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var g=e._glimages.append(\"g\");g.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),g.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),g.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=m.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var b=u.bBox(x.node()),_=n.w*(h.x[1]-h.x[0]);if(b.width>_/2){var w=v.split(\"|\").join(\"<br>\");x.text(w).attr(\"data-unformatted\",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr(\"transform\",a(-3,8-b.height)),y.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr(\"transform\",a(k[0],k[1])+o(T))}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{\"../../components/drawing\":388,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/get_data\":593,\"./constants\":611,\"./layout_attributes\":615,\"./layout_defaults\":616,\"./mapbox\":617,\"@plotly/d3\":58,\"mapbox-gl/dist/mapbox-gl-unminified\":239}],614:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"./constants\":611,\"./convert_text_opts\":612}],615:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var 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O,z,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){O=null,z=null,D=null,N.moveFn=j,N.doneFn=H,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},v.init(N)}function j(t,e){if(O)O(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(O=s<.5?q:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function H(){null!==z?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function q(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above 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r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var 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r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function 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n=t(\"../../components/colorscale/defaults\"),i=t(\"./label_defaults\");e.exports=function(t,e,r,a,o){var s,l=r(\"contours.coloring\"),c=\"\";\"fill\"===l&&(s=r(\"contours.showlines\")),!1!==s&&(\"lines\"!==l&&(c=r(\"line.color\",\"#000\")),r(\"line.width\",.5),r(\"line.dash\")),\"none\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\"\",cLetter:\"z\"})),r(\"line.smoothing\"),i(r,a,c,o)}},{\"../../components/colorscale/defaults\":376,\"./label_defaults\":750}],757:[function(t,e,r){\"use strict\";var n=t(\"../heatmap/attributes\"),i=t(\"../contour/attributes\"),a=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=i.contours;e.exports=o({carpet:{valType:\"string\",editType:\"calc\"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:\"enumerated\",values:[\"fill\",\"lines\",\"none\"],dflt:\"fill\",editType:\"calc\"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:\"calc\",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:\"plot\"},transforms:void 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":908}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat;e.exports=u({z:{valType:\"data_array\",editType:\"calc\"},x:u({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:u({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:u({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:u({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:u({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:u({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:u({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:u({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:u({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:u({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:u({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:u({},n.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:s(),texttemplate:l({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),textfont:a({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:u({},i.showlegend,{dflt:!1})},{transforms:void 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W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function m(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function g(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,f)||!g(t.j,f)||!g(t.k,f))return;n=u(m(t.i),m(t.j),m(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;v[x+\"Intensity\"]=t.intensity,v[x+\"IntensityBounds\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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n=t(\"../../lib\").extendFlat,i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/fx/attributes\"),l=t(\"../../constants/delta.js\"),c=l.INCREASING.COLOR,u=l.DECREASING.COLOR,f=i.line;function 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E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if(\"color\"===l?(!function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),S(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var m={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(m),N(m)),m}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m<c.length;m++){var g,v=c[m];g=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],896:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":890,\"./plot\":900}],897:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 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);\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 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I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var 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i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:I}}},{\"../../lib\":503,\"./constants\":893,glslify:227}],898:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],899:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"color-rgba\"),s=t(\"../../plots/cartesian/axes\"),l=i.strRotate,c=i.strTranslate,u=t(\"../../lib/svg_text_utils\"),f=t(\"../../components/drawing\"),h=t(\"../../components/colorscale\"),p=t(\"../../lib/gup\"),d=p.keyFun,m=p.repeat,g=p.unwrap,v=t(\"./helpers\"),y=t(\"./constants\"),x=t(\"./axisbrush\"),b=t(\"./lines\");function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,c=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-c[0])/(c[1]-c[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(c).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],904:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var m=c(\"textposition\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\"auto\"===m||\"outside\"===m)&&c(\"automargin\"),(\"inside\"===m||\"auto\"===m||Array.isArray(m))&&c(\"insidetextorientation\")}o(e,n,c);var g=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":901,\"fast-isnumeric\":190}],905:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],906:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],907:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":901,\"./base_plot\":902,\"./calc\":903,\"./defaults\":904,\"./layout_attributes\":908,\"./layout_defaults\":909,\"./plot\":910,\"./style\":911,\"./style_one\":912}],908:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],909:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":908}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t(\"../bar/constants\").TEXTPAD,g=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,m.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(m.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(m.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=m.title.text;m._meta&&(i=l.templateString(i,m._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m.title.font).call(f.convertToTspans,t),e=\"middle center\"===m.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(g(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(g(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=u(t,\"source:\")+\" \",T=u(t,\"target:\")+\" \",k=u(t,\"concentration:\")+\" \",A=u(t,\"incoming flow count:\")+\" \",M=u(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var c=[],u=0,h=0;h<i.flow.links.length;h++){var m=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=h),m.fullData=m.trace,o=i.link.trace.link;var g=y(m),v={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:v.valueLabel,text:[m.label||\"\",w+m.source.label,T+m.target.label,m.concentrationscale?k+a(\"%0.2f\")(m.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(m.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[m]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),m=h.left-2-u.left,g=h.right+2-u.left,v=h.top+h.height/4-u.top,y={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":920,\"./render\":924,\"@plotly/d3\":58}],924:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,m=t(\"../../lib/gup\"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" 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e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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g=\"projection.\"+d[m];f(g+\".show\")&&(f(g+\".opacity\"),f(g+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,h||p||r,{axis:\"z\"}),v(t,e,h||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,h||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":955}],960:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927}],962:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),m=p(\"b\"),g=Math.min(d.length,m.length);if(g){e._length=g,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",g<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":503,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/line_shape_defaults\":942,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":961}],964:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],965:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],966:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),g.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,g),s.extraText=g.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":938}],967:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,m=f(\"geojson\");(\"string\"==typeof m&&\"\"!==m||n.isPlainObject(m))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var 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M=p.font[r]={};M.size=(s.isTypedArray(f)?f[r]:Array.isArray(f)?n(f[r])?f[r]:0:f)*d,M.family=Array.isArray(h)?h[r]:h}else p.font={size:f*d,family:h};return p}function x(t){var e,r,n=t._length,i=t.marker,o={},l=s.isArrayOrTypedArray(i.symbol),c=s.isArrayOrTypedArray(i.color),f=s.isArrayOrTypedArray(i.line.color),d=s.isArrayOrTypedArray(i.opacity),m=s.isArrayOrTypedArray(i.size),g=s.isArrayOrTypedArray(i.line.width);if(l||(r=p.isOpenSymbol(i.symbol)),l||c||f||d){o.colors=new Array(n),o.borderColors=new Array(n);var v=u(i,i.opacity,n),y=u(i.line,i.opacity,n);if(!Array.isArray(y[0])){var x=y;for(y=Array(n),e=0;e<n;e++)y[e]=x}if(!Array.isArray(v[0])){var b=v;for(v=Array(n),e=0;e<n;e++)v[e]=b}for(o.colors=v,o.borderColors=y,e=0;e<n;e++){if(l){var _=i.symbol[e];r=p.isOpenSymbol(_)}r&&(y[e]=v[e].slice(),v[e]=v[e].slice(),v[e][3]=0)}o.opacity=t.opacity}else 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t){if(\"circle\"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return M[t]?M[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?A:-A}),M[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return 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T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":944,\"../scatter/subtypes\":952,\"./constants\":982,\"./helpers\":987,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],984:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,m,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,m,g),g(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/period_defaults\":947,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"../scatter/xy_defaults\":954,\"./attributes\":979,\"./helpers\":987}],985:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],986:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":936}],987:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":982}],988:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 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_=y.count,w=v._glcanvas.data()[0].regl;if(f(t,e,r),y.dirty){if(!0===y.error2d&&(y.error2d=a(w)),!0===y.line2d&&(y.line2d=i(w)),!0===y.scatter2d&&(y.scatter2d=n(w)),!0===y.fill2d&&(y.fill2d=i(w)),!0===y.glText)for(y.glText=new Array(_),m=0;m<_;m++)y.glText[m]=new o(w);if(y.glText){if(_>y.glText.length){var T=_-y.glText.length;for(m=0;m<T;m++)y.glText.push(new o(w))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(m=0;m<_;m++)y.glText[m].update(y.textOptions[m])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),y.line2d.update(y.lineOptions)),y.error2d){var A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else 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R=y.selectBatch[I]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<O;g++)F[g]||B.push(g);y.unselectBatch[I]=B}var N=P.xpx=new Array(O),j=P.ypx=new Array(O);for(g=0;g<O;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(y.select2d||(y.select2d=n(v._glcanvas.data()[1].regl)),y.scatter2d){var U=new Array(_);for(m=0;m<_;m++)U[m]=y.selectBatch[m].length||y.unselectBatch[m].length?y.markerUnselectedOptions[m]:{};y.scatter2d.update(U)}y.select2d&&(y.select2d.update(y.markerOptions),y.select2d.update(y.markerSelectedOptions)),y.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else y.scatter2d&&y.scatter2d.update(y.markerOptions);var V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":943,\"../scatter/subtypes\":952,\"./edit_style\":985,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],991:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else c[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},{\"../../lib\":503}],992:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var m=n.hasText(l),g=n.hasMarkers(l),v=!g&&!m;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,m&&i(r),s}},{\"../scatter/subtypes\":952,\"./edit_style\":985}],993:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/mapbox/layout_attributes\":615,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927,\"../scattergeo/attributes\":969}],994:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function m(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b=\"none\"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&\"circle\"===a.marker.symbol,A=w&&\"circle\"!==a.marker.symbol,M=m(),S=m(),E=m(),L=m(),C={fill:M,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(M.geojson=o.makePolygon(r),M.layout.visibility=\"visible\",i.extendFlat(M.paint,{\"fill-color\":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",i.extendFlat(S.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var 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n=t(\"../scatterpolar/attributes\"),i=t(\"../scattergl/attributes\"),a=t(\"../../plots/template_attributes\").texttemplateAttrs;e.exports={mode:n.mode,r:n.r,theta:n.theta,r0:n.r0,dr:n.dr,theta0:n.theta0,dtheta:n.dtheta,thetaunit:n.thetaunit,text:n.text,texttemplate:a({editType:\"plot\"},{keys:[\"r\",\"theta\",\"text\"]}),hovertext:n.hovertext,hovertemplate:n.hovertemplate,line:i.line,connectgaps:i.connectgaps,marker:i.marker,fill:i.fill,fillcolor:i.fillcolor,textposition:i.textposition,textfont:i.textfont,hoverinfo:n.hoverinfo,selected:n.selected,unselected:n.unselected}},{\"../../plots/template_attributes\":633,\"../scattergl/attributes\":979,\"../scatterpolar/attributes\":1002}],1010:[function(t,e,r){\"use 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A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":906,\"../pie/plot\":910,\"./constants\":1052,\"./fx\":1054,\"./helpers\":1055,\"./style\":1060,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1060:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1061:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1062:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../../stackgl_modules\":1124,\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../heatmap/find_empties\":798,\"../heatmap/interp2d\":801}],1064:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return 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numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||m<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(g,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=c[e+p+t],g=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(m<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,g);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||m<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,g);if(void 0!==M)return 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e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=g[A+b],h[y++]=-T,h[y++]=g[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function m(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var m=l(\"labels\");l(\"labelFont\")&&(m=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));h[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",g.update(v),g};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),m=t(\"binary-search-bounds\"),g=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=m(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],m=i[10],g=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-m*v),b=-(m*g-p*y),_=-(p*v-d*g),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=m;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from editor.utils import compute_histogram\n",
    "from editor.training import HistogramDataset\n",
    "from config import DATA\n",
    "\n",
    "\n",
    "BINS = 32\n",
    "dataset = HistogramDataset(DATA, bin_count=BINS, target_size=(512, 512))\n",
    "\n",
    "from editor.visualisation import (\n",
    "    display_images,\n",
    "    plot_histograms_in_3d,\n",
    "    plot_histograms_in_2d,\n",
    ")\n",
    "\n",
    "\n",
    "og = dataset.get_original_image(0)\n",
    "edit = dataset.get_edited_image(0, edit_idx=431)\n",
    "\n",
    "display_images({\"Original\": og, \"Edited\": edit})\n",
    "plot_histograms_in_2d(\n",
    "    {\n",
    "        \"Original\": compute_histogram(og, BINS),\n",
    "        \"Edited\": compute_histogram(edit, BINS),\n",
    "    }\n",
    ")\n",
    "plot_histograms_in_3d(\n",
    "    {\n",
    "        \"Original\": compute_histogram(og, BINS),\n",
    "        \"Edited\": compute_histogram(edit, BINS),\n",
    "    }\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "bipolaroid",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}