Experiment
compute_group_date_in_month <- function(data, scales){
data %>%
dplyr::mutate(num_day_of_week = lubridate::wday(.data$date)) %>%
dplyr::mutate(day_of_week = lubridate::wday(.data$date, label = TRUE, abbr = TRUE)) %>%
dplyr::mutate(week_of_month = (- lubridate::wday(.data$date) + lubridate::day(.data$date)) %/% 7 + 1 +
ifelse(lubridate::wday(lubridate::floor_date(lubridate::as_date(.data$date), "month")) == 1, -1, 0)
) %>%
dplyr::mutate(date_of_month = lubridate::day(.data$date)) %>%
dplyr::mutate(which_year = lubridate::year(.data$date) - 2018) %>%
dplyr::mutate(month = lubridate::month(.data$date, abbr = TRUE, label = TRUE)) %>%
dplyr::mutate(hour = lubridate::hour(.data$date)) %>%
dplyr::mutate(academic_year = lubridate::year(.data$date) +
ifelse(lubridate::month(date) >
6, 1, 0)) %>%
dplyr::mutate(academic_month = .data$month %>%
factor(levels = c("Jul", "Aug", "Sep", "Oct", "Nov", "Dec",
"Jan", "Feb", "Mar", "Apr", "May", "Jun"))) |>
dplyr::mutate(x = as.numeric(day_of_week) ) |>
dplyr::mutate(y = week_of_month)
}
ggtemp:::create_layer_temp(fun_name = "stat_calendar",
compute_group = compute_group_date_in_month,
required_aes = "date",
default_aes = aes(label = after_stat(date_of_month)))
ggcalendar:::return_dates_month("2022-02") |>
head() |>
compute_group_date_in_month()
## date num_day_of_week day_of_week week_of_month date_of_month which_year
## 1 2022-02-01 3 Tue 0 1 4
## 2 2022-02-02 4 Wed 0 2 4
## 3 2022-02-03 5 Thu 0 3 4
## 4 2022-02-04 6 Fri 0 4 4
## 5 2022-02-05 7 Sat 0 5 4
## 6 2022-02-06 1 Sun 1 6 4
## month hour academic_year academic_month x y
## 1 Feb 0 2022 Feb 3 0
## 2 Feb 0 2022 Feb 4 0
## 3 Feb 0 2022 Feb 5 0
## 4 Feb 0 2022 Feb 6 0
## 5 Feb 0 2022 Feb 7 0
## 6 Feb 0 2022 Feb 1 1
ggplot(ggcalendar:::return_dates_month("2022-02")) +
aes(date = date) +
stat_calendar(geom = "text") +
coord_trans(y = "reverse")
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAPACAYAAAD0ZtPZAAAEDmlDQ1BrQ0dDb2xvclNwYWNlR2VuZXJpY1JHQgAAOI2NVV1oHFUUPpu5syskzoPUpqaSDv41lLRsUtGE2uj+ZbNt3CyTbLRBkMns3Z1pJjPj/KRpKT4UQRDBqOCT4P9bwSchaqvtiy2itFCiBIMo+ND6R6HSFwnruTOzu5O4a73L3PnmnO9+595z7t4LkLgsW5beJQIsGq4t5dPis8fmxMQ6dMF90A190C0rjpUqlSYBG+PCv9rt7yDG3tf2t/f/Z+uuUEcBiN2F2Kw4yiLiZQD+FcWyXYAEQfvICddi+AnEO2ycIOISw7UAVxieD/Cyz5mRMohfRSwoqoz+xNuIB+cj9loEB3Pw2448NaitKSLLRck2q5pOI9O9g/t/tkXda8Tbg0+PszB9FN8DuPaXKnKW4YcQn1Xk3HSIry5ps8UQ/2W5aQnxIwBdu7yFcgrxPsRjVXu8HOh0qao30cArp9SZZxDfg3h1wTzKxu5E/LUxX5wKdX5SnAzmDx4A4OIqLbB69yMesE1pKojLjVdoNsfyiPi45hZmAn3uLWdpOtfQOaVmikEs7ovj8hFWpz7EV6mel0L9Xy23FMYlPYZenAx0yDB1/PX6dledmQjikjkXCxqMJS9WtfFCyH9XtSekEF+2dH+P4tzITduTygGfv58a5VCTH5PtXD7EFZiNyUDBhHnsFTBgE0SQIA9pfFtgo6cKGuhooeilaKH41eDs38Ip+f4At1Rq/sjr6NEwQqb/I/DQqsLvaFUjvAx+eWirddAJZnAj1DFJL0mSg/gcIpPkMBkhoyCSJ8lTZIxk0TpKDjXHliJzZPO50dR5ASNSnzeLvIvod0HG/mdkmOC0z8VKnzcQ2M/Yz2vKldduXjp9bleLu0ZWn7vWc+l0JGcaai10yNrUnXLP/8Jf59ewX+c3Wgz+B34Df+vbVrc16zTMVgp9um9bxEfzPU5kPqUtVWxhs6OiWTVW+gIfywB9uXi7CGcGW/zk98k/kmvJ95IfJn/j3uQ+4c5zn3Kfcd+AyF3gLnJfcl9xH3OfR2rUee80a+6vo7EK5mmXUdyfQlrYLTwoZIU9wsPCZEtP6BWGhAlhL3p2N6sTjRdduwbHsG9kq32sgBepc+xurLPW4T9URpYGJ3ym4+8zA05u44QjST8ZIoVtu3qE7fWmdn5LPdqvgcZz8Ww8BWJ8X3w0PhQ/wnCDGd+LvlHs8dRy6bLLDuKMaZ20tZrqisPJ5ONiCq8yKhYM5cCgKOu66Lsc0aYOtZdo5QCwezI4wm9J/v0X23mlZXOfBjj8Jzv3WrY5D+CsA9D7aMs2gGfjve8ArD6mePZSeCfEYt8CONWDw8FXTxrPqx/r9Vt4biXeANh8vV7/+/16ffMD1N8AuKD/A/8leAvFY9bLAAAAOGVYSWZNTQAqAAAACAABh2kABAAAAAEAAAAaAAAAAAACoAIABAAAAAEAAAVAoAMABAAAAAEAAAPAAAAAALYRw1EAAEAASURBVHgB7N0HvBxV2TjgE0gwoSYQelcpSi8iH0WliQiKKIIoSm9SlSog0qUJKEWwUFQEpShI9QMRFf6AiPQiTUMLHQIBQgl/3/GbdZPcunczmbvnOb9fcvfuzs7M+5yduzPvnDLkvX+XpBAgQIAAAQIECBAgQIAAAQIECBAgQKADBabrwJiERIAAAQIECBAgQIAAAQIECBAgQIAAgUJAAtQHgQABAgQIECBAgAABAgQIECBAgACBjhWQAO3YqhUYAQIECBAgQIAAAQIECBAgQIAAAQISoD4DBAgQIECAAAECBAgQIECAAAECBAh0rIAEaMdWrcAIECBAgAABAgQIECBAgAABAgQIEJAA9RkgQIAAAQIECBAgQIAAAQIECBAgQKBjBSRAO7ZqBUaAAAECBAgQIECAAAECBAgQIECAgASozwABAgQIECBAgAABAgQIECBAgAABAh0rIAHasVUrMAIECBAgQIAAAQIECBAgQIAAAQIEJEB9BggQIECAAAECBAgQIECAAAECBAgQ6FgBCdCOrVqBESBAgAABAgQIECBAgAABAgQIECAgAeozQIAAAQIECBAgQIAAAQIECBAgQIBAxwpIgHZs1QqMAAECBAgQIECAAAECBAgQIECAAAEJUJ8BAgQIECBAgAABAgQIECBAgAABAgQ6VmDoYIjs6aefHgy7OaB9HD58eBo1alR65pln0sSJEwe0Lm8mMJgFRo8enYYNG1aEMHbs2PTee+8N5nDsO4EBCcw555xpwoQJady4cQNajzcTGMwC5TlSxPDaa6+lV199dTCHY98JDEhgxIgRaeTIkck50oAYvbkDBOIcaejQ/6QzcsgXdECVCWEqCsw111zpjTfeyOIcad55521ZUgvQlum8kQABAgQIECBAgAABAgQIECBAgACBugtIgNa9huwfAQIECBAgQIAAAQIECBAgQIAAAQItC0iAtkznjQQIECBAgAABAgQIECBAgAABAgQI1F1AArTuNWT/CBAgQIAAAQIECBAgQIAAAQIECBBoWUACtGU6byRAgAABAgQIECBAgAABAgQIECBAoO4CEqB1ryH7R4AAAQIECBAgQIAAAQIECBAgQIBAywISoC3TeSMBAgQIECBAgAABAgQIECBAgAABAnUXkACtew3ZPwIECBAgQIAAAQIECBAgQIAAAQIEWhaQAG2ZzhsJECBAgAABAgQIECBAgAABAgQIEKi7gARo3WvI/hEgQIAAAQIECBAgQIAAAQIECBAg0LKABGjLdN5IgAABAgQIECBAgAABAgQIECBAgEDdBSRA615D9o8AAQIECBAgQIAAAQIECBAgQIAAgZYFJEBbpvNGAgQIECBAgAABAgQIECBAgAABAgTqLiABWvcasn8ECBAgQIAAAQIECBAgQIAAAQIECLQsIAHaMp03EiBAgAABAgQIECBAgAABAgQIECBQdwEJ0LrXkP0jQIAAAQIECBAgQIAAAQIECBAgQKBlAQnQlum8kQABAgQIECBAgAABAgQIECBAgACBugtIgNa9huwfAQIECBAgQIAAAQIECBAgQIAAAQItC0iAtkznjQQIECBAgAABAgQIECBAgAABAgQI1F1AArTuNWT/CBAgQIAAAQIECBAgQIAAAQIECBBoWUACtGU6byRAgAABAgQIECBAgAABAgQIECBAoO4CEqB1ryH7R4AAAQIECBAgQIAAAQIECBAgQIBAywISoC3TeSMBAgQIECBAgAABAgQIECBAgAABAnUXkACtew3ZPwIECBAgQIAAAQIECBAgQIAAAQIEWhaQAG2ZzhsJECBAgAABAgQIECBAgAABAgQIEKi7gARo3WvI/hEgQIAAAQIECBAgQIAAAQIECBAg0LKABGjLdN5IgAABAgQIECBAgAABAgQIECBAgEDdBSRA615D9o8AAQIECBAgQIAAAQIECBAgQIAAgZYFJEBbpvNGAgQIECAw9QVef/319NBDD6UXX3xx6m/MFgjUUGDixInp8ccfT+PHj6/h3tklAtUKPP300+nNN9+sdqO2RqDmAi+99FKKf++9917N99TuESAwLQWGTsuN2zYBAgQIECDQs8Aee+yRLrjggnTggQem3XbbreeFvUqgQwQiwfOjH/0oXXTRRWnMmDHprbfeSkOGDEnzzTdfWmmllYrjYaGFFuqQaIVBoGeB22+/PR1zzDHp73//e3EjYIYZZkjLLrtsWmWVVdIOO+yQ5p577p5X4FUCHSxw+umnp1133bWIMI6VeeaZp4OjFRqB/wjE3/4nn3yywTFs2LAUN4zffffdxnPxIL4nDj300Emey/kXCdCca1/sBAgQIFBrgbPPPrtIftZ6J+0cgTYLPPjgg2nLLbec5MQ+NhEte+JkP/5dc801xQn9Vltt1eatWx2BegmccMIJ6cQTT5xkp+KGwG233Vb8u+yyy9L555+fPvCBD0yyjF8I5CDwwAMPpH322SeHUMVIoCEQN4mvuuqqIuHZeLKbB6NHj+7mlTyfblsCNP74XHjhhelf//pXmmmmmdIyyyyT1l577fT+978/T1lREyBAgACBAQj88pe/TPvuu+8A1uCtBAafwBtvvJF23HHHIskZLT632WabtO2226aVV145PfPMM+mSSy4pEp+vvPJKOuigg9JSSy1VvDb4IrXHBHoX+N3vftdIfi655JLFZ3/NNddMw4cPT/Ed8Z3vfCc98cQTaeONN06XX355WmSRRXpfqSUIdIjA22+/nb7yla+k+N5QCOQkELm3aO0Z5SMf+UiaY4450vve976i9ec777wzCcVyyy03ye+5/9KWBGh0T/r+979fWM4888xFN6Vofv7rX/+66K6x4oor5u4sfgIECBAg0CeBsWPHpm9961tFC7c+vcFCBDpI4IwzzijGvI2QDj/88LTddtsVyZ44sY8u79tvv32Kk/lPfepTxflm3CS4/vrrO0hAKAT+IxAtniPBGSW6uF988cVp1KhRacSIEWnkyJFp0003TQsvvHCR/Iwxon/729+mvfba6z9v9j+BDAQOO+ywFDkHhUBuAvfcc08j5FNOOaU4P5prrrmKmwGvvvpq4zUPphQY8CRId999d/rBD36QYiyao446Kl155ZXp6quvTjFmWdyNiSbpcTGnECBAgAABAj0LRIueT3ziE43kZ7T4UQjkJHDDDTcU4UZLtmj92VWJ42KzzTYrXoru8tEaVCHQaQK33npr4xpql112KZKfk8cYLaOj110UNwIm1/F7JwvcfPPN6bjjjkvTTTddcUOsk2MVG4HJBe69997iqbgZZjz0yXV6/n3ACdBzzz23GJMpxmr62Mc+VgxQHwOwfvGLXyzuTEbT9LgjqRAgQIAAAQLdC8TFa9w0HDduXPFdGjcSL7300u7f4BUCHSYwYcKEdNdddxVRRSvPuLDtrnzoQx9qvBRdwRQCnSYw++yzp/333z999rOfTeutt1634UWr0CiPPPJIt8t4gUAnCcR50u67717kIPbbb7+0xhprdFJ4YiHQq0DZAjQmw1P6JzCgLvCvv/56iruTUdZff/0pthzPRff4GJMmuiwNHTqgzU2xfk8QIECAAIFOEShnbVx11VXTAQccUMzaaFyrTqldcfRFILq5P/TQQ+m5554rbgL09J4Y97As888/f/nQTwIdI7DYYoulPffcs8d44nsjeuNFiYYoCoEcBA488MBinOi4URbd4I8//vgcwhYjgUIgxv687777iscSoP3/UAwoI3n//fcXd14WXHDBNN98802x9eiiNMsssxRdk8aMGWNCpCmEPEGAAAECBP4jEF1YYoKXSIAqBHIVmH766dM888zTY/jRuyiGW4oSA/8vsMACPS7vRQKdKBBjhMZ40TH+Z5QYF1ch0OkC0TMmzpVi+L1zzjmn+NnpMYuPQLPAY4891pj4K4ZAicnyYu6d6AUQDSeih8wKK6yQdt555yIX1/xej1MaUAL0ySefLAxj7IHuSrwWA7E+/vjj3SZAo6KiNWlXJVqN9tQFqqv3DMbnYqbTKPEzh3gHYx3Z5+oF4ngoj43qt26LBKoV6G28T98P1daHrdVHYPLvgbPPPjvFBUCUmAjGeVN96sqeTF2BaB0d495Gw5If/vCHRYvp+PxHK7jPfe5zU3fj1k5gGgtE7iGGhYgSrUCXXnrpKfYojgffCVOweKKDBMrWnxFSTJQ3+Xw7zzzzTPrjH/9YJEVPPvnktOaaa3ZQ9AMPZUAJ0PHjxxd70FMCdNZZZy2WKZftapd/+tOfppi9qquyxBJLpMsuu6yrlzryuZi9SyFA4D8CMeupQiBngbjILUv0qHBMlBp+5irwl7/8pZh0M+KPLsInnXRSMSt2rh7izksgWrzFECnNJVqBHnzwwc1PeUyg4wSixfMWW2xRjJO+1lprpUMOOaTLRhJzzjmnc6WOq30BNQuUN4DjuUh+xlAQ66yzTlp++eXTo48+Wgw/edtttxXDRHz5y19O8VhX+f8Kdj+6/H+X6fZR2WozLsq6KzPPPHPx0ptvvtndIp4nQIAAAQIECBAg0KPATTfd1JhgM3oIRUvQESNG9PgeLxLoJIFoARe9BVZaaaXGZ/+oo45KSy21VNEytJNiFQuBZoHvfe97KSaLnG222Yqu75P3DGhe1mMCnSxwxx13NMKLG2DxexwfX/3qV4sWobfcckvRKyAWiiGDtt1221TOM9B4Y8YPBtQCdKaZZiro3nrrrW4JY0bPKDGwfXclBq9feeWVu3x54YUXTuU6ulygQ56MpvrDhg1LYRl3uBQCuQrEcVB2Xcnh2M+1nsXdN4Hm74N33nkni+/DvslYKieB+E648sorU7RkiJvvMU7oz3/+8+Lc0fdETp8EscZkL/H5jxsAcSzE70ceeWQxIcZqq62W/va3v6V5550XFIGOErjrrruKLu8R1Iknnli08Iy//c3XDGXA8bzvhVLDz04UiN7T0Qo0hpmM1tDl5z3GxY0JkuJ6IYaKiG7wcdMgvhfiHOqTn/xkx3D0lFvsLcgBJUBHjx5drH/cuHHdbicqJkqZLO1qwU022STFv+7K008/3d1LHfP88OHD06hRo9JLL71UfHA7JjCBEOinQPxdKROgcTw0J4D6uSqLExj0As13bONit5zsYtAHJgAC/RD4xS9+UXT7jRP7OOk97bTT0sc//nHHQz8MLdo5AtHqOYYfi+uvHXfcsbj4/e53v1scD5EMPeKIIzonWJFkLxC9SLfccsuiJduGG26YNthgg8bf/ujuXl4zlFAvv/xyiutqhUCnCkTr5/e///1FeM3XBTGUYsytU+bfttpqqyIBGgveeuut3TY4HIxOA7nR15YEaIncFV6ZHI3knkKAAAECBAgQIECgLwJxAyySOWeccUaxeMz4fv7553c58UVf1mcZAp0o8PWvf72YS+G1115L1113nQRoJ1ZyxjHFPCH/+Mc/CoGY3fqcf4+DW5YYai9aRN98883lU+lXv/pV0U0+WklH4lQhkKtAjJNelpg8T/mPwIASoOWEPTHDe4wvEM3Qm8srr7xS3KGJOzPNFdC8jMcECBAgQIAAAQIEmgWi1c8ee+xRDOYfz0drh+jCFcMm9XTjvXkdHhPIQSASQDFpbHRzjGuyaCk9eau4HBzE2JkCTzzxRCOwE044ofG4uwfHHnts8dKMM84oAdodkuezEIgu8WXRKrqUSGlAkyDNN998xUDccccxBludvMSYA9F9Lwbrjj9CCgECBAgQIECAAIGeBGI89O22266R/FxllVWKFj6R5FEI5CJw1llnpc033zytu+66RUOTnuIubwp01SW4p/d5jUDdBWLYkxj2oat/kV+IYfaaEz3lcj0Nv1f3mO0fge4EnnrqqRQTH+2www4phgfqqTz88MONlz/4wQ82Huf+YEAJ0MDbYostCsOYibP88o0nnn322aKbUjz+4he/GD8UAgQIECBAgAABAj0K7L333o1xq9Zbb73029/+NkViRyGQk0A0MPnzn/9cTHB00003dRv6Cy+8kB555JHi9WWWWabb5bxAYDAKHHfcccXnOz7jk/+L3qZxnBxyyCGN0G688cZiuTvvvLPxnAcEOkVg9tlnTxdccEG64oorek2AXnvttY2wl1122cbj3B8MOAEag9DHeBwxNsf2229fjNN06qmnFoNyR4Z69dVXT2uvvXbuzuInQIAAAQIECBDoReCGG25IF198cbHURz/60RSzneq61QualztSIGb3LUvM9h4z+3ZVDjrooKLHXbwWE8QoBAgQINCZAnE+FOdGUe6666509dVXdxnofffd1xgvN/Jx5Xu6XDizJwc0BmhYxbgzMTjxSSedlH7/+9+n8847ryCM5zfddNO00047GYcmsw+VcAkQIECAAAEC/RWYMGFCOvDAAxtviyGU4qZ6TGYR3RqjxDLRRb65bLTRRkn3rmYRjztBIFpzxiQu0c3x9ttvT7vssks6+uij00ILLVSEF73toitkjI0bJVpLf+lLXyoe+48AAQIEOlPg4IMPTp/5zGeK86G99torHXXUUekLX/hCEWwMP3nppZem/fffv7gxFudP3/72tzsTosWoBpwAje3G2BwHHHBA2meffYom5zFr54ILLliMydHifnkbAQIECBAgQIBARgKRyHnssccaEZ977rmNxz09WHzxxSVAewLy2qAVOPzww9MDDzyQbrvttqLL41VXXVVMCBatQf/5z3824lpppZXSiSee2PjdAwIECBDoTIGll146HXPMMSmGCxo3blzafffdi5vHiy66aHrooYfSG2+8UQQ+xxxzpB//+MdJ9/dJPwcD7gLfvLrIMMcA9XHH3sDDzTIeEyBAgAABAgQI9CQQiR6FAIH/CkR3x9/85jfpyCOPTLPNNlsxw3tMbFEmP2M8uGgVGi1+4mJXIUCAAIHOF4gJ8q677rq05pprFsHGXDzRJT6SnzPPPHNaZ5110jXXXJNWXXXVzsfoZ4RD/t1a871+vqfyxZ9++unKt1n1BuMEZ9SoUemZZ54pTm6q3r7tEaiLwOjRo9OwYcOK3Rk7dmwaBH+i6kJnPzpQICZ+iS6/cYdXIZCrQHmOFPHHhBfNk27maiLu/AQmTpyYxowZUyQ/I9kZ3w/zzDNPfhAiJvB/AnEMRAOsKDnkC/4vbD8ITCIQ50UxQdj48eNTtAKN74UhQ4ZMskyn/TLvvPO2HFJbusC3vHVvJECAAAECBAgQIECAAIEeBaabbrq0yCKLFJPPjhw5MrlJ3COXFwkQIJCFQLT4XG655dJcc81VtAB1k7jnam9rF/ieN+VVAgQIECBAgAABAgQIECBAgAABAgQIVCsgAVqtt60RIECAAAECBAgQIECAAAECBAgQIFChgARohdg2RYAAAQIECBAgQIAAAQIECBAgQIBAtQISoNV62xoBAgQIECBAgAABAgQIECBAgAABAhUKSIBWiG1TBAgQIECAAAECBAgQIECAAAECBAhUKyABWq23rREgQIAAAQIECBAgQIAAAQIECBAgUKGABGiF2DZFgAABAgQIECBAgAABAgQIECBAgEC1AhKg1XrbGgECBAgQIECAAAECBAgQIECAAAECFQpIgFaIbVMECBAgQIAAAQIECBAgQIAAAQIECFQrIAFarbetESBAgAABAgQIECBAgAABAgQIECBQoYAEaIXYNkWAAAECBAgQIECAAAECBAgQIECAQLUCEqDVetsaAQIECBAgQIAAAQIECBAgQIAAAQIVCkiAVohtUwQIECBAgAABAgQIECBAgAABAgQIVCsgAVqtt60RIECAAAECBAgQIECAAAECBAgQIFChgARohdg2RYAAAQIECBAgQIAAAQIECBAgQIBAtQISoNV62xoBAgQIECBAgAABAgQIECBAgAABAhUKSIBWiG1TBAgQIECAAAECBAgQIECAAAECBAhUKyABWq23rREgQIAAAQIECBAgQIAAAQIECBAgUKGABGiF2DZFgAABAgQIECBAgAABAgQIECBAgEC1AhKg1XrbGgECBAgQIECAAAECBAgQIECAAAECFQpIgFaIbVMECBAgQIAAAQIECBAgQIAAAQIECFQrIAFarbetESBAgAABAgQIECBAgAABAgQIECBQoYAEaIXYNkWAAAECBAgQIECAAAECBAgQIECAQLUCEqDVetsaAQIECBAgQIAAAQIECBAgQIAAAQIVCkiAVohtUwQIECBAgAABAgQIECBAgAABAgQIVCsgAVqtt60RIECAAAECBAgQIECAAAECBAgQIFChgARohdg2RYAAAQIECBAgQIAAAQIECBAgQIBAtQISoNV62xoBAgQIECBAgAABAgQIECBAgAABAhUKSIBWiG1TBAgQIECAAAECBAgQIECAAAECBAhUKyABWq23rREgQIAAAQIECBAgQIAAAQIECBAgUKGABGiF2DZFgAABAgQIECBAgAABAgQIECBAgEC1AhKg1XrbGgECBAgQIECAAAECBAgQIECAAAECFQpIgFaIbVMECBAgQIAAAQIECBAgQIAAAQIECFQrIAFarbetESBAgAABAgQIECBAgAABAgQIECBQoYAEaIXYNkWAAAECBAgQIECAAAECBAgQIECAQLUCEqDVetsaAQIECBAgQIAAAQIECBAgQIAAAQIVCkiAVohtUwQIECBAgAABAgQIECBAgAABAgQIVCsgAVqtt60RIECAAAECBAgQIECAAAECBAgQIFChgARohdg2RYAAAQIECBAgQIAAAQIECBAgQIBAtQISoNV62xoBAgQIECBAgAABAgQIECBAgAABAhUKSIBWiG1TBAgQIECAAAECBAgQIECAAAECBAhUKyABWq23rREgQIAAAQIECBAgQIAAAQIECBAgUKGABGiF2DZFgAABAgQIECBAgAABAgQIECBAgEC1AhKg1XrbGgECBAgQIECAAAECBAgQIECAAAECFQpIgFaIbVMECBAgQIAAAQIECBAgQIAAAQIECFQrIAFarbetESBAgAABAgQIECBAgAABAgQIECBQoYAEaIXYNkWAAAECBAgQIECAAAECBAgQIECAQLUCEqDVetsaAQIECBAgQIAAAQIECBAgQIAAAQIVCkiAVohtUwQIECBAgAABAgQIECBAgAABAgQIVCsgAVqtt60RIECAAAECBAgQIECAAAECBAgQIFChgARohdg2RYAAAQIECBAgQIAAAQIECBAgQIBAtQISoNV62xoBAgQIECBAgAABAgQIECBAgAABAhUKSIBWiG1TBAgQIECAAAECBAgQIECAAAECBAhUKyABWq23rREgQIAAAQIECBAgQIAAAQIECBAgUKGABGiF2DZFgAABAgQIECBAgAABAgQIECBAgEC1AhKg1XrbGgECBAgQIECAAAECBAgQIECAAAECFQpIgFaIbVMECBAgQIAAAQIECBAgQIAAAQIECFQrIAFarbetESBAgAABAgQIECBAgAABAgQIECBQoYAEaIXYNkWAAAECBAgQIECAAAECBAgQIECAQLUCEqDVetsaAQIECBAgQIAAAQIECBAgQIAAAQIVCkiAVohtUwQIECBAgAABAgQIECBAgAABAgQIVCsgAVqtt60RIECAAAECBAgQIECAAAECBAgQIFChgARohdg2RYAAAQIECBAgQIAAAQIECBAgQIBAtQISoNV62xoBAgQIECBAgAABAgQIECBAgAABAhUKSIBWiG1TBAgQIECAAAECBAgQIECAAAECBAhUKyABWq23rREgQIAAAQIECBAgQIAAAQIECBAgUKGABGiF2DZFgAABAgQIECBAgAABAgQIECBAgEC1AhKg1XrbGgECBAgQIECAAAECBAgQIECAAAECFQpIgFaIbVMECBAgQIAAAQIECBAgQIAAAQIECFQrIAFarbetESBAgAABAgQIECBAgAABAgQIECBQoYAEaIXYNkWAAAECBAgQIECAAAECBAgQIECAQLUCEqDVetsaAQIECBAgQIAAAQIECBAgQIAAAQIVCkiAVohtUwQIECBAgAABAgQIECBAgAABAgQIVCsgAVqtt60RIECAAAECBAgQIECAAAECBAgQIFChgARohdg2RYAAAQIECBAgQIAAAQIECBAgQIBAtQISoNV62xoBAgQIECBAgAABAgQIECBAgAABAhUKSIBWiG1TBAgQIECAAAECBAgQIECAAAECBAhUKyABWq23rREgQIAAAQIECBAgQIAAAQIECBAgUKGABGiF2DZFgAABAgQIECBAgAABAgQIECBAgEC1AhKg1XrbGgECBAgQIECAAAECBAgQIECAAAECFQpIgFaIbVMECBAgQIAAAQIECBAgQIAAAQIECFQrIAFarbetESBAgAABAgQIECBAgAABAgQIECBQoYAEaIXYNkWAAAECBAgQIECAAAECBAgQIECAQLUCEqDVetsaAQIECBAgQIAAAQIECBAgQIAAAQIVCkiAVohtUwQIECBAgAABAgQIECBAgAABAgQIVCsgAVqtt60RIECAAAECBAgQIECAAAECBAgQIFChgARohdg2RYAAAQIECBAgQIAAAQIECBAgQIBAtQISoNV62xoBAgQIECBAgAABAgQIECBAgAABAhUKDK1wWy1vatZZZ235vYPljdNPP32xq7PMMkt67733Bstu208CbReYbrr/3peJ40EhkLNAHA8zzDBDyuF7MOd6FnvPAuU5UizleOjZyqudLzB06H8u35wjdX5di7BngeZrBudJPVt5tfMFhgwZ4hypD9U85N/Jttpn2955550+hDK4F4kPbJzg5xDr4K4pez+1BeI4iOMhiuNhamtbf90F4niIr+mJEyfWfVftH4GpJlCeI8UG4lhwPEw1aiseBALl8eAcaRBUll2cqgKuGaYqr5UPMoGcrhnKG4GtVNGgaAH63HPPtRLboHrP8OHD06hRo9ILL7zgxH5Q1ZydbbfA6NGj07Bhw4rVPv/881pEtxvY+gaVwJxzzpkmTJiQxo0bN6j2284SaKdAeY4U63z99dfTq6++2s7VWxeBQSUwYsSINHLkyOQcaVBVm52dCgJxjlQmQnLIF0wFQqvsIIG55porvfHGG1mcI80777wt19x/+5q2vApvJECAAAECBAgQIECAAAECBAgQIECAQD0FJEDrWS/2igABAgQIECBAgAABAgQIECBAgACBNghIgLYB0SoIECBAgAABAgQIECBAgAABAgQIEKingARoPevFXhEgQIAAAQIECBAgQIAAAQIECBAg0AYBCdA2IFoFAQIECBAgQIAAAQIECBAgQIAAAQL1FJAArWe92CsCBAgQIECAAAECBAgQIECAAAECBNogIAHaBkSrIECAAAECBAgQIECAAAECBAgQIECgngISoPWsF3tFgAABAgQIECBAgAABAgQIECBAgEAbBCRA24BoFQQIECBAgAABAgQIECBAgAABAgQI1FNAArSe9WKvCBAgQIAAAQIECBAgQIAAAQIECBBog4AEaBsQrYIAAQIECBAgQIAAAQIECBAgQIAAgXoKSIDWs17sFQECBAgQIECAAAECBAgQIECAAAECbRCQAG0DolUQIECAAAECBAgQIECAAAECBAgQIFBPAQnQetaLvSJAgAABAgQIECBAgAABAgQIECBAoA0CEqBtQLQKAgQIECBAgAABAgQIECBAgAABAgTqKSABWs96sVcECBAgQIAAAQIECBAgQIAAAQIECLRBQAK0DYhWQYAAAQIECBAgQIAAAQIECBAgQIBAPQUkQOtZL/aKAAECBAgQIECAAAECBAgQIECAAIE2CEiAtgHRKggQIECAAAECBAgQIECAAAECBAgQqKeABGg968VeESBAgAABAgQIECBAgAABAgQIECDQBgEJ0DYgWgUBAgQIECBAgAABAgQIECBAgAABAvUUkACtZ73YKwIECBAgQIAAAQIECBAgQIAAAQIE2iAgAdoGRKsgQIAAAQIECBAgQIAAAQIECBAgQKCeAhKg9awXe0WAAAECBAgQIECAAAECBAgQIECAQBsEJEDbgGgVBAgQIECAAAECBAgQIECAAAECBAjUU0ACtJ71Yq8IECBAgAABAgQIECBAgAABAgQIEGiDgARoGxCtggABAgQIECBAgAABAgQIECBAgACBegpIgNazXuwVAQIECBAgQIAAAQIECBAgQIAAAQJtEJAAbQOiVRAgQIAAAQIECBAgQIAAAQIECBAgUE8BCdB61ou9IkCAAAECBAgQIECAAAECBAgQIECgDQISoG1AtAoCBAgQIECAAAECBAgQIECAAAECBOopIAFaz3qxVwQIECBAgAABAgQIECBAgAABAgQItEFAArQNiFZBgAABAgQIECBAgAABAgQIECBAgEA9BSRA61kv9ooAAQIECBAgQIAAAQIECBAgQIAAgTYISIC2AdEqCBAgQIAAAQIECBAgQIAAAQIECBCop4AEaD3rxV4RIECAAAECBAgQIECAAAECBAgQINAGAQnQNiBaBQECBAgQIECAAAECBAgQIECAAAEC9RSQAK1nvdgrAgQIECBAgAABAgQIECBAgAABAgTaICAB2gZEqyBAgAABAgQIECBAgAABAgQIECBAoJ4CEqD1rBd7RYAAAQIECBAgQIAAAQIECBAgQIBAGwQkQNuAaBUECBAgQIAAAQIECBAgQIAAAQIECNRTQAK0nvVirwgQIECAAAECBAgQIECAAAECBAgQaIOABGgbEK2CAAECBAgQIECAAAECBAgQIECAAIF6CkiA1rNe7BUBAgQIECBAgAABAgQIECBAgAABAm0QkABtA6JVECBAgAABAgQIECBAgAABAgQIECBQTwEJ0HrWi70iQIAAAQIECBAgQIAAAQIECBAgQKANAhKgbUC0CgIECBAgQIAAAQIECBAgQIAAAQIE6ikgAVrPerFXBAgQIECAAAECBAgQIECAAAECBAi0QUACtA2IVkGAAAECBAgQIECAAAECBAgQIECAQD0FJEDrWS/2igABAgQIECBAgAABAgQIECBAgACBNghIgLYB0SoIECBAgAABAgQIECBAgAABAgQIEKingARoPevFXhEgQIAAAQIECBAgQIAAAQIECBAg0AYBCdA2IFoFAQIECBAgQIAAAQIECBAgQIAAAQL1FJAArWe92CsCBAgQIECAAAECBAgQIECAAAECBNogIAHaBkSrIECAAAECBAgQIECAAAECBAgQIECgngISoPWsF3tFgAABAgQIECBAgAABAgQIECBAgEAbBCRA24BoFQQIECBAgAABAgQIECBAgAABAgQI1FNAArSe9WKvCBAgQIAAAQIECBAgQIAAAQIECBBog4AEaBsQrYIAAQIECBAgQIAAAQIECBAgQIAAgXoKSIDWs17sFQECBAgQIECAAAECBAgQIECAAAECbRCQAG0DolUQIECAAAECBAgQIECAAAECBAgQIFBPAQnQetaLvSJAgAABAgQIECBAgAABAgQIECBAoA0CEqBtQLQKAgQIECBAgAABAgQIECBAgAABAgTqKSABWs96sVcECBAgQIAAAQIECBAgQIAAAQIECLRBQAK0DYhWQYAAAQIECBAgQIAAAQIECBAgQIBAPQUkQOtZL/aKAAECBAgQIECAAAECBAgQIECAAIE2CEiAtgHRKggQIECAAAECBAgQIECAAAECBAgQqKeABGg968VeESBAgAABAgQIECBAgAABAgQIECDQBgEJ0DYgWgUBAgQIECBAgAABAgQIECBAgAABAvUUkACtZ73YKwIECBAgQIAAAQIECBAgQIAAAQIE2iAgAdoGRKsgQIAAAQIECBAgQIAAAQIECBAgQKCeAhKg9awXe0WAAAECBAgQIECAAAECBAgQIECAQBsEJEDbgGgVBAgQIECAAAECBAgQIECAAAECBAjUU0ACtJ71Yq8IECBAgAABAgQIECBAgAABAgQIEGiDgARoGxCtggABAgQIECBAgAABAgQIECBAgACBegpIgNazXuwVAQIECBAgQIAAAQIECBAgQIAAAQJtEJAAbQOiVRAgQIAAAQIECBAgQIAAAQIECBAgUE8BCdB61ou9IkCAAAECBAgQIECAAAECBAgQIECgDQISoG1AtAoCBAgQIECAAAECBAgQIECAAAECBOopIAFaz3qxVwQIECBAgAABAgQIECBAgAABAgQItEFAArQNiFZBgAABAgQIECBAgAABAgQIECBAgEA9BSRA61kv9ooAAQIECBAgQIAAAQIECBAgQIAAgTYISIC2AdEqCBAgQIAAAQIECBAgQIAAAQIECBCop4AEaD3rxV4RIECAAAECBAgQIECAAAECBAgQINAGAQnQNiBaBQECBAgQIECAAAECBAgQIECAAAEC9RSQAK1nvdgrAgQIECBAgAABAgQIECBAgAABAgTaICAB2gZEqyBAgAABAgQIECBAgAABAgQIECBAoJ4CEqD1rBd7RYAAAQIECBAgQIAAAQIECBAgQIBAGwQkQNuAaBUECBAgQIAAAQIECBAgQIAAAQIECNRTQAK0RvXy5JNPpjfeeKNGe2RXCBAgQGBaCbz77rtpzJgxacKECdNqF2yXQC0E3nrrreJYeOedd2qxP3aCwNQWeP3119NDDz2UXnzxxX5v6qWXXkovv/xyv9/nDQTqKvDEE0+khx9+uOXdG8jx1PJGvZHAVBBo9ViYOHFiilxTHAu5l6G5A0zr+H/5y1+myy+/PN15550pTliizD///GnLLbdMO+20Uxo+fPi03kXbJzBVBE4++eR09dVXT7HuoUOHpiFDhhTPv/3221O8fumll6b3ve99UzzvCQKdIPDee++l888/P/3kJz9JjzzySIpjYLrppksLL7xw2mSTTdLuu+/u898JFS2GXgUi2XnqqacW50iRCIpjIb4fll9++bTDDjukDTfcsDg2el2RBQgMQoH9998/XXzxxenAAw9Mu+22W68RPPfcc+nEE09Ml112WeN64oMf/GBaZZVV0s4775zisUJgMArE3//11luvuDZ47LHHWgqhv8dTSxvxJgJTWaC/x8Kbb76ZfvSjH6WLLrqouIkcN5OjzDfffGnllVcuvl8WWmihqbzX9Vu9BOg0qpNo6bnffvsVJzflLkTSJy5+Izt/7LHHpgsvvDD97ne/S6NGjSoX8ZNAxwjEHay77rqr3/HEHSyFQCcKxPfCl7/85XTLLbdMEl585uOkPy5uf/Ob3xQJ0hxPWCZB8UtHC8TnfZdddpniOyKSorfddlvxb/3110+nn356GjFiREdbCC4/gbgJFsnPvpZ//OMfaeONN06vvPLKJG+JFnPxL242R4OLZZdddpLX/UKg7gLRkjkS+JG4abXxQ3+Pp7qb2L88Bfp7LDz44INFg7rIK01ennrqqeJm2TXXXJMOPfTQtNVWW02+SEf/PlW6wF9xxRVp8803T/fff39H47UaXCQ54yK3PLmJVj0XXHBBGj9+fPrTn/6UPve5zxWrfvTRR9Mee+zR6ma8j0CtBZZeeun0qU99aop/n/3sZ4tjII6DeP3DH/5wI44VV1yx5ROgxko8IFBTgSOOOKKR/Fx33XXTtddeW3RVuffee4sWb7HbkRiK1kDRPV4h0IkCkeSMFp7lDbLVV189XXnllem1114rziv32muvIuw4cY/lFAKdJBCJyn322afPIcVFcVxTRPJz2LBh6cgjj0x//etf0x133JFOOumkNPPMMxfd6DfddNOiS32fV2xBAtNY4Pnnn09bbLHFgPIJ/T2epnHINk+gS4H+HgvRoGLHHXcsGtVFA7ttt902XXfddcU1xK233pqOOeaYNNtssxVDbB100EHFTeUuN9yhT7a9Bejdd9+dTjjhhBQnsMYt6/pT84tf/KJxkbvnnnumaJYfXd2jFcPiiy9etGiILo+XXHJJ8WG95557UiSLFAKdJLD11lun+Dd5GT16dHESH89HU/9o5RNlrrnmSj/96U91eSw0/NdpAk8//XQ655xzirBWW2214nF8D8QFbXR/P+yww9L000+fzjjjjOJEJW40xs0ChUCnCfz4xz9O9913XxHW5z//+fT9738/zTTTTMW/JZdcMsWNghgqaN99901/+MMfip4yn/nMZzqNQTyZCYwdOzZ961vfSpHY708566yzUrTmiXL22Wentddeu/H2aIzyoQ99KH3hC18obiBEV8jjjz++8boHBOoqEF12DznkkJbHsm31eKqrh/3KV6CVYyGuFeIaOsrhhx+etttuuwbgAgsskL72ta8Vw6NEQ6NoXR3nU9dff31jmU5/0NYWoH//+99TZJEj+al0L3DmmWcWL8aJfHzguirN4/1Exl4hkKPAN7/5zeJuVSR+YkzEueeeO0cGMWcgULZ2i1DjTm0kPycvMS50WeL7ViHQiQKR0IkycuTI4sQ9/v5PXqLF2worrFA8fdppp03+st8JDCqBaKX2iU98opH87Ot4nTEubtwYjvLxj398kuRnCRDd3suL32hYMW7cuPIlPwnUTiC6637lK18pekBG6+YZZpghLbjggv3az1aPp35txMIEprLAQI6FG264odi7RRZZJG2zzTZd7mnkoTbbbLPiteguP/kQKl2+qUOenPIKq4XAYjapaPUZ3bVjIp+uLtxaWG1HviUucqNre5Rdd921W6v4UEYX+Uh+RpZeIZCbQFwExwRhUaIZfwzWrBDoVIHmE4/uxn2O1tFlMigmvFAIdJpAnE+W41V98pOfTLPPPnuXIUaXrnXWWad4LXoelZNIdrmwJwnUWCBa3USX90hMxuc6rqV+/vOf92mPo4dY+dnfYIMNun1PTBgWJbpFlsNvdbuwFwhMQ4G40Vu2RIsbATH8SfSK6WsZyPHU121YjkAVAq0eC9EDu2xUsdxyy3Wba4oYoodAWR544IHyYcf/bEsCdPvtt08xM/OMM85YNFdfdNFFOx6u1QBvvvnmxlvXXHPNxuOuHvzP//xP8cHs7mK4q/d4jkAnCMQJ/QEHHFCEEl0d9957704ISwwEuhWI1jtl+dvf/lY+nORnXOyWY382Lz/JQn4hMIgFYsKWsvTWCq4814xx1ZvPrcr3+0lgMAiUf9NXXXXVYpK7OPcpb3T1tv/NPQFWWmmlbhdfaqmlipZ0sUDze7p9gxcITCOB6EU666yzpm984xvF5F3N8wD0ZZcGcjz1Zf2WIVCVQKvHQkwWFt3fb7/99mKCo572NyYkLktcb+dS2jIGaDRRj3H6oovFvPPOm84777xc/PodZ5ldjw9ZjGkYJcbuiQ9pnJQMHTo0LbPMMmmNNdYoun/1ewPeQKADBA4++OBUtnA7+uiji5srHRCWEAh0KxDDO0RXxbhr+4Mf/KBo3dZ8Zza+Z8ubAnFx3DzOW7cr9QKBQSbQ3IOo+XFXYURr0bI888wz5UM/CQwqgYUWWqgY8z8SoP0t5TVFvC/W012JY2m++eZL//znP1PMGK8QqKtAzPge5zeRBG2lDOR4amV73kNgagkM5FiI64R55pmnx12LIVSuvvrqYpk55pgjxdiguZS2JEBj0O2BjM132223dTv7VFRIOQlKJ1TKmDFjijAi+RktZiPRc+qpp04RWnjGALYucqeg8USHC0QLoPjsR4luLzEbvEIgB4EYyy0mNooJkWJg8pi4IpKi0SX4wgsvTM8++2xxkRuTxPR0sZuDlRg7UyA+79ENOFp1PvLII8XERxFp3BwuS0wMFpMi/etf/yqfKrr2xnMKgcEmUI5l27zfcX1QlhgDcfLPdhwDUcaPH1/8jOV7u9iN1yMBGj1sJl9fsRL/EaiBQIz/OXlp/vs/+Wc3vi/KEq+1cjyV7/eTQJ0E+nssxL7H8VCeI/UWS+SfHnvssWKxL33pS1l9L/z3jLI3pR5eH0jyM1YbXZdOOeWULrewxBJLpC9+8YtdvjYYnyxbLES39r322quY6Tdmf19xxRWLk5do/RPNlqM1Q8x+GjPGx2D/CoFcBGIsrIkTJxbhHnrooS3fBc7FS5ydIxDj3Mbs1xtttFG68cYb0wUXXFD8KyOM79o///nPkp8liJ8dJxCtfqLre5wHxdBK0QNgkUUWmSTO6N4VYxnG8VGW+L3VFkPlOvwkUBeBWWaZpbErw4cP7/azXV5TRAK0t8//zDPPXKzzzTff7HXZxsY9IFADgbgJECWSOz19zrt7ra/HUw1CtQsEehToy7EQ50jxr6cSLT/jGjvKYostlo4//vgU+ahcSlvGAM0Fqx1xvvrqq8Vq/vjHPxbJzxjEP070//KXv6SLLrqo6JoSg5/HiUq0gNhzzz3TCy+80I5NWweB2guMHTs2/exnPyv286Mf/Whab731ar/PdpBAuwSuvfbaFGO1RfIzSnRHiV4AkRCKLoxxYyxayJ155pnt2qT1EKidQPSMiRLJnc033zyVPWfKHY0Jw7baaqv0/PPPl08V50uNXzwgkInAa6+9VkQaSdLeSnlBHDcLFAIECBDIU+Cmm25Km266aYou8NG6Onpy55T8jFpvSwvQgX581l133W7HHZhtttlSjH3WKSWSmlGihVt0YYxkT9y5jW4s0XQ/Tuyj9U90gdxvv/2KE/zDDjssHX744Z1CIA4C3Qp873vfSzF7XZQY77CTjv1ug/YCgX8LxE2waPUfJyQxRnT0ilhrrbVStFyIgdDvuOOOtOuuu6aYICnGBYoL3xh3WyHQaQIxDMTqq69e3Ai49dZbi3HRP/3pTxc/owtvzAocw0Lssssu6Yc//GERfrSK8H3RaZ+EfOOJa4GyRMJy8s922cWxHCc3zpsmX6Z8f/mzbC0aydLeli3f4yeBOgiU1wVxDT35ZzfOkcpJwyZ/rdz33o6ncjk/CdRdoKdjIfY9WkG/9dZbKVr6d1WuuOKKtMMOOxS9aOK4iaG3ouFFd8dOV+uoy3MjR45seVdqkQBdcsklU/zrrkQysFNKjMHz6KOPFuFE685ozh8nN/FHPRKg8YGN5OgWW2yRjjvuuCIBGmOkumPbKZ8AcfQkEOMcRomxfzfccMOi9XN506Cn93mNwGAX+Pa3v924Gxs3xmICpPi7H70BIgEaN8yiy2+0CH388cdT3BiLm2Xddfka7B72P2+BOCk/8MADi8lhxo0bN8VwEDFUSgwPVCZA40ay86S8PzOdFH3zxWvcFOvus1222onlu1umdCkToPGd0tuy5Xv8JFAHgXJm99iXyT+75dAOXb1W7ntfj6dyeT8J1FWgp2Mh9rlsNDH5cRKvRUvP6GET19XRI+C0004relp2tWwsX/cy6BOgdQdu5/7NO++8jdUtvfTSjceTP4is/OKLL14kQM3YOLmO3ztR4J577mlMahHj/paD/HdirGIi0Czw1FNPFS0847loBdo8+3vzcnGTLHoG7L777imGU7nmmms6aozs5lg9zlsgEvsxQH9MgnfDDTeke++9N8XY6TFsULQOXXjhhdNf//rXBtJAToQbK/GAwCATKD/38X0QrX7K8eG6CuPFF18snnbTrCsdzxEgQKAzBSLhecQRRzQmGI5zqUiGrrLKKp0ZcB+iqkUL0D7sZ8cs0pwA7W3Mntlnn72IO1o/KAQ6XeDyyy9vhGjirwaFBxkINM9mvcwyy/QYcYwBWpayN0H5u58EOk0ghkiKf3G+FCftUWL4h0j4NI8N2nxcdJqBeAh0JxANJcoSveXixkB3JYaNiLLooot2t4jnCRAgQKCDBKL18x577JHKa+zoTRYTbMfcAjkXkyBVXPsxtltZbr/99vJhlz/Lk/uY+Vch0OkC0conSrROWGONNTo9XPERaAg0d+FqHquqsUDTgxg2pSy93UQrl/OTwGATiG5eZZfd7vY9ZjGNEonR3E/muzPyfGcLLLHEEo0A77777sbjyR/EzbLyeFphhRUmf9nvBAgQINBhAtErIOYKKJOfK6+8cooxQJ0vpSQBWvGHPQbyLy9a/9//+3/dbv2ll14qZoePBeIDqxDoZIG4QxVdHKN8+MMfLsbG7eR4xUagWSAuYmMmxig9fS/E63feeWf8KEpvrUXL5fwkMJgEvvrVrxZj3m622Wbd7vYLL7xQDAERC3zsYx/zndGtlBc6WWC11VZrzN573XXXdRtq82urrrpqt8t5gQABAgQ6Q2DvvfdO119/fRHMeuutl379618Xc2x0RnQDi0ICdGB+/X73nHPOWQzcH2+MCV+uuuqqLtcRs2GXg9LGeIgKgU4WiJYLMdFLlJ7Gxu1kA7HlKxDjtpUXpTfffHMxy3VXGtGCJybHixLjgS6//PJdLeY5AoNaID7XMWZV9JLpagz0mCgyJgGL74xoER0TSioEchSISZA22GCDIvRLLrkk3XfffVMwPP/8842x31ZaaaVkuIgpiDxBgACBjhKIXpUXX3xxEdNHP/rRYrb3sgFeRwXaYjASoC3CDeRtX//614sJXuIEf7fdditmOY3xrKJE0vM73/lOOuuss4rft9lmm7TWWmsVj/1HoFMFmk/al1pqqU4NU1wEuhWIxGZczEbX35133jmdd955KXoClCUmCYsJkmIG+ChHHnlkKseJLpfxk0AnCGyyySaNnjLbb799cUNgwoQJRWjRlXennXZKF110UfH7FltskZZccslOCFsMBFoSiInxYkbfmC1+0003TTfeeGNxAyFW9tBDDxXfGzE+aJRvfvObxU//ESBAgEBnCsT50oEHHtgILs6RYlLJk08+ucd/Dz/8cOM9nf5gqkyCdM4553S624Dim2+++YqL21122SVFN65Ign7jG98oZn1/8MEHGy3hNtpoo2LWrgFtzJsJDAKBsWPHNvZSArRB4UFGAossskg68cQTiwvUuBG27777Fv9iRvjnnnsuRSuesmy99dZp8803L3/1k0BHCbz//e9P3/3ud4vzojghjyToLLPMUiT8mycMi5ZvxxxzTEfFLhgC/RWISS1OO+20YqKLl19+OUWvsbg5FjfUyomPYp1xQaxBRX91LU+AAIHBJXDZZZelxx57rLHT5557buNxTw9iUr1cxgfVArSnT8JUfC0mebn22muL2U3jJCXu3MYYiNGlK36Plp+nnHJKmm46VTQVq8GqayLw7LPPNvYkxgBVCOQosPHGG6fotrL++uun6aefviC4//77G8nPuIsbLd+OPvroHHnEnJFAJPijFfRiiy1WRB29ZMrk5wILLJCOPfbYdOaZZzbGzs2IRqgEphCI+QVicovo3h7DQrz44ouN5GckSE8//fSiscUUb/QEAQIECHSUQDmnRkcF1eZghvy7G/Z7bV5n21dXdt1o+4prssLo8hgn9pEEirHgIgPfPCtwTXbTbhCoRGD06NHFEBGxsWgZOgj+RFXiYiN5CcTsjdHdNy5k55hjjhQ9B6IVnEIgJ4H4+x+t2MaMGVPcHI7WCXPPPXdjRuucLMRKoBSIhhIjR47s8hxp/PjxKcZVj5sGiy66aPGvvKFWvt9PAp0iEHNrlJNIdnq+oFPqTBxTT2CuueYqhlMsh1acelua9mued955W96JqdIFvuW9yfSNcWISrd5WX3319Mwzz6QY4F8hQIAAgXwF4mZYtPiMk/sYz2fcuHH5Yog8W4FozRYtPiPxOWrUqMLhtddey9ZD4AR6E4gJ8spJ9Xpb1usECBAgQCA3Af2rc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBC5VwwGAABAAElEQVQgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEJEBzq3HxEiBAgAABAgQIECBAgAABAgQIEMhIQAI0o8oWKgECBAgQIECAAAECBAgQIECAAIHcBCRAc6tx8RIgQIAAAQIECBAgQIAAAQIECBDISEACNKPKFioBAgQIECBAgAABAgQIECBAgACB3AQkQHOrcfESIECAAAECBAgQIECAAAECBAgQyEhAAjSjyhYqAQIECBAgQIAAAQIECBAgQIAAgdwEhrz371L3oAfBLraFcMiQISmXWNsCZiUdKxDHQhTHQ8dWscAIECDQLwHfC/3isnCHC7hm6PAKFl6fBXw39JnKggQ6RqA87lsJaGgrb6r6Pa+++mrVm6x8e0OHDk0zzjhjeu211yR9Kte3wToJzDTTTGn66acvdimHY79O9valfgJxPLz77rvpzTffrN/O2SMCFQmU50ixubfeeitNmDChoi3bDIH6CQwbNiyNGDEiOUeqX93Yo2oFXDNU621r9RaYeeaZ09tvv53FOdKss87acmUMigTo+PHjWw5wsLxx+PDhRQL09ddfTxMnThwsu20/CbRdIE7qywRoHA9agbad2AoHkUDcGIuTmRy+BwdRtdjVigXKc6TYrOOhYnybq51AnCfFP+dItasaO1SxQJwjlcV5UinhZ64CcUMgl3OkgSRAjQGa6xEibgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBmUMlCJECAAAECBAgQIECAAAECBAgQIJCrgARorjUvbgIECBAgQIAAAQIECBAgQIAAAQIZCEiAZlDJQiRAgAABAgQIECBAgAABAgQIECCQq4AEaK41L24CBAgQIECAAAECBAgQIECAAAECGQhIgGZQyUIkQIAAAQIECBAgQIAAAQIECBAgkKuABGiuNS9uAgQIECBAgAABAgQIECBAgAABAhkISIBWXMlPPPFEevjhh/u91bFjx6Y333yz3+/zBgJ1FWj1WGiO5/XXX08vvfRSip8KgcEq0I5jYbDGbr8JNAvE3/KHHnoovfjii81P9/nx008/nd54440+L29BAnUVGOixUNe47BeBVgRaPU969913U7x3woQJrWzWewjUTqDVY+Gtt94qjoV33nmndjFVvUNDq95gztuLk/r11lsvDRkyJD322GO9Utx+++3pmGOOSX//+9/T+PHj07Bhw9Jyyy2XVllllbTDDjukueeeu9d1WIBAHQX6eyx0FUMcE+uss04aM2ZM+spXvpKOP/74rhbzHIFaC/T3WIi//U8++WSvMcX3xKGHHtrrchYgUCeB/fffP1188cXpwAMPTLvttlufdu2Xv/xluvzyy9Odd95Z3BCLN80///xpyy23TDvttFMaPnx4n9ZjIQJ1EujLsXDSSSelq6++ut+7femll6b3ve99/X6fNxCYFgL9PU9677330vnnn59+8pOfpEceeSS9/fbbabrppksLL7xw2mSTTdLuu+/u8z8tKtI2ByzQ32Mhkp2nnnpqcY4U741jYfrpp0/LLrts2nnnndOGG25YHBsD3rFBtoK2JUCvv/769Oc//7nILE+cODEttNBC6X/+53+KhN8gM5kqu/vyyy8XH7TIvvflpOOEE05IJ5544iT7Eh/a2267rfh32WWXFX/cP/CBD0yyjF8I1F2gv8dCd/EcfPDBRfKzu9c9T6DuAv09FqIXwFVXXZXiO7a3Mnr06N4W8TqBWgnEBWskP/taoqXnfvvt1+V74ibBsccemy688ML0u9/9Lo0aNaqvq7UcgWku0NdjIVoC3XXXXf3e3758h/R7pd5AYCoI9Pc8Kb4XvvzlL6dbbrllkr2Jz3w0Popr69/85jfFNXTkKhQCg0Wgv8dCfN532WWXKb4jolV0NK6LG8Trr79+Ov3009OIESMGC0Nb9nPACdBoUr7vvvsWkLFHs846a7FjDz74YPrf//3fFIm64447LjvY5tp5/vnn01e/+tV0//33Nz/d7eM4WS+Tn0suuWTRimfllVcumu//4Q9/SN/5zneKRPPGG29cZPQXWWSRbtflBQJ1EujvsdDdvl955ZXpV7/6VXcve55A7QVaORYeeOCBRvLzIx/5SJpjjjm6jTN6CygEBotAtOKMc8m+lmjh03yRG616Pv/5z6fVVlutOD+KlnG//e1v06OPPpr22GOP9POf/7yvq7YcgWkq0J9jYemll06f+tSnet3f6Clz3333FcutuOKKfWqI0etKLUBgKgu0cp50xBFHNJKf6667bjrggAPSYostlmIouWgR+uMf/7hIhEYPg0iERms4hUDdBfp7LETLz+gxVv7dX3311dM+++yTlllmmaIXWVxDR+LzmmuuKZb7xS9+UXeCtu7fgBOgp512WpH8jCRctMhaYoklih2MC7XDDz883XHHHemUU04p7tK3dc8HycouuuiidMghh6TI2velxEl9JDijRBf3aA1RtlyYccYZ0xe+8IWiCX8kP2OMrDjB32uvvfqyassQmKYC/T0WutvZOInpz4Vyd+vxPIFpJdDqsXDPPfc0djm+V7VeaHB4MEgF4u/5t771reIkvD8hxMl62cJnzz33TNFduCxxsRsn9tHl8ZJLLknXXXddimMnkkUKgboKtHIsbLPNNmnrrbfuMaRXX321kSSda6650k9/+tMsuzz2iOTF2gm0cp4UY0Cfc845RSxxMywex/dAlAUXXDAddthhRcLzjDPOKHpTXnHFFemzn/1s8br/CNRVoJVjIRL9ZfIzbg5///vfbyT74xwpcnaLLrpocT0djeui8d1nPvOZuhK0fb8GNAlSDNAdLTzjj0skO8vkZ+xltFw86qijih2OsZlym6Qkul/FuITR8iCSnzPMMEPxx7e3Grz11luLu1SxXDRbLpOfze+L1qCRwY8SQw8oBOos0Oqx0FVMcYPgG9/4RjHO2yc+8YnGiU1Xy3qOQN0EBnos3HvvvUVII0eOlPysW+Xan34LREu3+DseLRCifPCDH+zzOs4888xi2TjX7O6GWPMYopEEVQjUVWAgx0JvMX3zm98sWrxFS7doAWf+gN7EvD4tBQZyntQ8HMS2227b5TVCdPstS3QDVgjUVWAgx8JZZ51VhBXXC5Gj66qlc/SiWWGFFYrlokFjTmVACdC77747xTgCcVclssiTl3huzjnnTJG0iG5IOZX4A1smJ+OkPrrsxt2o3srss89etGSIO1IxYVJ3pUyMxuDOCoE6C7R6LHQVU5y833DDDSn+oMcwETGhmEJgsAgM9FgoW4DG4OUKgcEsEOdH0R1r3Lhxxd/x/nRTj4vW8pxy11137fIiN2wiORq9aCL5+bWvfW0wc9n3DhYYyLHQG0uMJRqt3KLsuOOOKRpQKATqLDCQ86RXXnmlEVp5ndx44v8exPjoZTLoueeem/xlvxOojUCrx0JMEhzJ0yif/OQnU+SWuipxDR2TCUeJnN5LL73U1WId+dyAusDHLLPRAjQmZuiqxPgD5R+jSFjkVCL2GA91u+22S3GCHt3X+1KiWXJ05+qpRNI5PqhRPvaxj/W0qNcITHOBVo+FyXc8xhU++uiji6ePOeaYNM8880y+iN8J1FpgIMdCDOBfdmeRAK11Ndu5PgjEeUyUVVddtRijLc4nY0KXvpSbbrqpsdiaa67ZeNzVg5iMUyFQZ4GBHAs9xRW9z8qeePPPP3/ae++9e1rcawRqITCQ86SPf/zjjRj+9re/FZMxN574vwdxI7k85pqXn3w5vxOY1gKtHgv/+Mc/GrveW8+asgFjNFa8+eab0wYbbNB4byc/GFACNDLH3d1hCbTf//73KWY9n2222VJ8+eZUdt5557T22ms3JoVqV+zxAY3xsmL8zyh9Gfy8Xdu2HgKtCLTjWIi/I3EjISZdi7FMjNnTSk14z7QWGMixELM5xuymUWIIlBiv59e//nWKE504Lj784Q8XXVliG7PMMsu0DtX2CfQoEOPXxvickQDtbymHgojzyhjTMMpTTz1VnLzHMEJx8zluEqyxxhpFb4H+rt/yBKoUGMix0NN+HnvssY1rhbh53NeGGD2t02sEprbAQM6TYniH+NsfXeF/8IMfFK3bPvShDzV2OW4KxKRIUaIVaFynKwTqKtDqsVC2cI64yjFwu4uxeYjKZ555prvFOu75ASVAe9KIk9Ef/vCHxSLR7aKnrqoxO2c5aPHk6/zABz5QDGY/+fN1/z1m3pq8DB8+vPFUDA3QXEqfrmb1jQ9kTCYVs8jH4OUxwVR8oI8//viihWnzejwmUDeB/h4LzX+4o6tKlP32269o/bbAAgukGPtt8hblcWxNfkzVzcH+EOjvsRBicTyMGDEiPf744w3AGMg/vmOby7PPPpv++Mc/phgsPYaKcGLfrONx3QS6+ntdJvhjX2eaaaZJ/qaX50jx2j//+c/4UfQCiO+ImAApZn2fvEQvgbPPPjvFTMAKgboK9PdYiDjK46E8R5o8trgx9rOf/ax4OlpJx1hvCoHBINDf86Tma4Y4ls4777y0/vrrF+dI0Uho8803T5EEjQmSLrzwwhTX1AsvvHA699xzi2FSBoOJfcxToL/HQihFfmi55ZYrviOi0dy//vWvSc6lJpdsvpaIFqddfR9N/p5O+H2qJEBfeOGFFINux52W6NbUW2ut6CbfXdenOAkeOnSq7Gbl9Vdm4ePEpbuYuno+Zjst71iVOx2tQMNYITAYBfpyLERccTzE7HQnn3xy8cc8TliaT/jLi4BYX1fHzmC0sc95CfTlWIjPefPg/nHCEic4MXbP8ssvX4yHGJMN3nbbbUWidKONNioe6yqf12dpsEfb/Dc8Lmqbf2+OLWa1jhK9i+IGe9xAj5sEK664YpEUjWPloYceKiaU/PSnP53iHEoCqFnQ47oLNH/2ezoWmpdrjinOmeLiN8q3v/3tbo+l5vd4TKCuAn05T4p9j+Nh6aWXTtFLIM6DbrzxxuLvf3Nc0Ur0T3/6k4kkm1E8HjQCfTkWIncWXd/jPCjGQY9JkBZZZJEpYow8XTRCLEuMyd7dd0q5TKf8bHtmccyYMcXA9nGnJbrkBXpvpacv92HDhjW+xHtbT91fL09G4mf5uHmf4yK3q+cjObzEEksULSJiDLgYczXG9YnuY/EvXlMIDCaB8nPe07EQ8cRQDzF5RSwXY+OutdZakxwjva1nMJnY1zwF+voZbp6tNG6IlePhlmoHH3xwOvLII9Ohhx6a3n777bTNNtukW265pTHYf7mcnwTqKlAeC7F/8bj593iuvOEVJ+lRYvKYWCZaO8fNseahliLpucsuu6SYDCAmWIqJALrqYVOsyH8EaibQ/Nnv6liI3e3ummHs2LHF8RDLRCOUaAHdvL54XiEwmATKz29Px0LEE69fe+21aauttipafMZz8b2w+OKLp8hPxOR50QI0hhGKISJikhmFwGAS6O1YKGM56KCD0tZbb52ii/tmm21WtH6O4VbKEo0P4/r6+eefL59KMddAuf7GkzV+UJ4TtrKLbU2Axl33uDCLu/Mx02BcjEUWurcSJ6n/n717gbtsrBcH/owZZqjJ0MwwRC5dqFPpSiFyqZA6XZVcp1EU5VYcpxIiFH0KneRS6UIuuURy4kTSjYhIQpMUhtzGMCaGv986/7XP9trvft937bXfvdbe3+fzmdn73ev2PN9nr/dd67eeS/wbLkUwtR9Sc/euuEBpTtGFN8ZTjW6M8QVsTgcccECKf5GiefJxxx2XjjrqqKxLfMwsHy3k4omWRKAuAu3OhWjhGQ8+IkUQJ2ayi4uXCIAOPW/y8sb+hluWr+OVQBUF2p0Lkd/ojhJjfMbv/DgHFixYkI1t2Or7Hq3h4uL/F7/4Rbr66quzMULjoYFEoA4Ccf2Tp7iObP6O59dIsTy/6I0L9VVWWSV94xvfyAL9zetH0Ceum+ImIHolffazn81awuX790qgygLtzoXId7R4jqGAIpgz9IY1AjsxbnqkCPA0nxfZh/4jUDOBdtdJcY2Ut1o7++yz0/vf//7sIfBKK62UXTc1T3QULeL23HPPFA+UI+4QLeAiWCoRqItAu3MhyhDjosc68dA3JoH81a9+la688sos6L/55punmGw7GtZF7Cjia9HN/oQTTsiKHw0S6/T3YtasWYWrbYnCWw7ZMCDjl0pctMbYGzE+5WiCn0N248cRBOKXfNwEf/KTn8zWvP/++9Oxxx47wlYWE6ifQDTLP++887ILm2OOOSY1j6Fbv9LIMYHOBJZffvmsu3tM7NIuzZkzp7E4xo2WCPSbQNzY5imuO4eb3CVaN+RDpsQ46hKBQRA455xzsmJGowrj3w5CjStjLnDIIYdkwc+4V457iObgZ6wTwZ+YPDIenEWKnjR5j4LsA/8R6COBGAM9Jg6OFPG56DUcD8hinNwIfu67775Pa4AYE0gOSiqlBWjMRnvkkUdmZtFia/bs2YPi17NyfvSjH00RFIrWQJdcckmKX/oSgX4RiKeyu+++e1acGMfwd7/7XfZvaPny1tIx4H+MAxcpWp/HGEASgUEUiAv8PN100035W68E+kaguat7u9/10Zoheg9EF6/4GyER6HeB66+/Ppv0IsoZYyDmvWn6vdzKRyBateUPuiLo0zz7e7NONM6KiVX32GOPLCh00UUXpfe+973Nq3hPoC8EIqAZjeT+/d//PV122WXpD3/4Q9Y4MSbGe+Mb35gNVRmtQ/M0dILh/PN+fO04APrrX/86a+0ZXZJiJs6tttqqH50qV6a4sI+xPyMwFLMDRyAoHxi3cpmVIQJjFIgAaP5UNrryxr92KX6B57/Eo6tju5vidvuxjEDdBZZaaqlGEbSablB400cCzS1AR/qOR8vpSPnfkz5iUBQCzxCIyfDy9M53vjN/65VA3wvceuutjTLGGJ/tUvMEkTEuqESgnwWiJ8BwvQFibNw8NZ8X+Wf9+tpRADTGJfvyl7+cjT8TYwgIfnb+NTnppJPST37yk2zMqgsvvLDt09tozhwpxj8R/Ozc3h6qIxDf53hKm7fwHC5n+Vgo8UAgD/xo8TCcls/rKhDj4EZXrWjJFl26tttuu2GLcssttzSWxSyQEoF+E3je857XKFI8HGtu9dxY8P/f5Bf3xkkfKuPnfhSIVj6Rpk6dmtZdd91+LKIyEWgp0Nx9NyZ4aZfycaRjnZEeorXbj2UEqiywePHibA6B4YYJirxHzClSDJkySPcMHQVAzzzzzHTHHXdkcCeffHKKf8OlmBBppLHLhtt2kD6PLu2XX355VuRf/vKXzxi/JLeIQf3zp10jPenKt/FKoC4CMVNdnAsxGPPQAf6byxDj+MQv+Bj0PMYdlgj0o0DMXn3aaadlFzLR4r9dADQmQcrTID3Nzcvstf8F3vGOd2QTHD366KPZAP/bbLNNy0LHGOkx6UWkGBpFItDPAnE+3HDDDVkRo4dYc5Cnn8utbARC4KUvfWk2Z0BMFhwTv7RL1157bWOxe+gGhTd9JLD99ttnEx298pWvTM09A5qLGLGkGAIiUnSJH6S/GR1NgtT8CySCEO3+jdSSq7lCBvn9Jpts0ih+BHTiF3mrFDObhnekLbbYotUqPiNAgACBPhCIFgp5a57rrruu8cR2aNH++Mc/NsbCXX/99RvbDF3PzwTqLBCznG677bZZEc4444wUvWVapaOOOiqbDTWWGeOtlZDP+kkgxnfL7xnWWmutfiqashAYUSB6ga233nrZejE8349//OOW2zzyyCONeUuip9k666zTcj0fEqizQHyvowFR9JJpNQZ6xOUOOuig7G9GBD5jgu1BSh0FQGPio2itOJp/EVmWRhaIJ1F565740u62227pnnvuaWx49913p5jlN2bHjrT55ptnrd8aK3hDgAABAn0n8OlPfzpNnjw5K1fMfH3WWWc1yhgPw84999xstsd4HzOgfuYzn2ks94ZAvwnERJAx3Elc4MeEeTG7afQaiBRDoxx44IGNXkkxOeeb3vSmfiNQHgJPE4gHYHmKFqASgUETiLjE0ksvnTUQ2nXXXbPZrqMnQJ5ikrCYICl60kSK3qn5ONH5Ol4J9INAjAGdD+8QcaN4IBBDV0a67bbbsoBn9OSO9IEPfCAN2kOzjrrAZ2r+K13g4IMPTn/605/SVVddlS644IKsdcPqq6+efXFjlrs8vfrVr05HH310/qNXAgQIEOhTgZjY6/DDD0/77LNPNqFLzGB6wAEHpBgGYu7cuY2WbtFd/oQTTki6v/fpF0GxMoGYCOl73/te9pA4unFFEDQConGtFJNa5C3hYibsQw45hBqBvheIIYPyNGg3s3m5vQ62wGqrrZbdF++9997ZNdEnP/nJFP9inOj4O3Hfffc1gHbaaac03PApjZW8IVBTgTXWWCN94QtfSHvttVeKuQEiCPrsZz87LbvssinmFchT9CKOe4tBSx21AB00rPEqb0Tszz777OzJVHxRo5lyjPeZBz/jaVVMiBEtfuJmVyJAgACB/heIi/VLLrkkbbjhhllhYyK8aPUTLd7iwmbTTTfNxvPJu4H1v4gSDrJAjCsfY97G7KbR6uexxx7LunpF8DN+jpafxxxzjEkiB/lLMkBljx5iedICNJfwOmgCMUZ0TAb2lre8JcUEqZFiLOg8+BkPB6LlW9xHSwT6WSDuGeJBcT5RZPSSyYOfK6+8cjriiCPS8ccfn/Ua62eHVmWb8FT3oSdbLajSZ3feeWeVstOVvETQM2bgmjdv3tNmvo7gZ8xiGuM3xPgmcVEza9asruTBTglUQWD69OlZS57Iy0iTIFUhv/JAoJsCM2bMyFr/z58//2mHiQuZeDAWExHGxc2aa645UAOYPw3DD30vkF8jRUHjux/B/+YUQz/ETW60/owxQuMmNx4KSAT6USAC/NOmTXON1I+Vq0xjEohrpBj2J9LQeMG//vWv7G9C9JJZYYUVsmulqVOnjmn/ViZQJ4G4/olGEc3XSBHqi8BntASNa6VoKR3/8gcEdSpfc147iYcJgDZL9vB9fnE/NADawyw5NIGeCAiA9oTdQSsqMFwAtKLZlS0CXRHIr5Fi560CoF05qJ0SqKiAAGhFK0a2xl2gXQB03DPjgAR6LNAqANrjLHXt8J0EQHWB71q12DEBAgQIECBAgAABAgQIECBAgAABAr0WEADtdQ04PgECBAgQIECAAAECBAgQIECAAAECXRMQAO0arR0TIECAAAECBAgQIECAAAECBAgQINBrAQHQXteA4xMgQIAAAQIECBAgQIAAAQIECBAg0DUBAdCu0doxAQIECBAgQIAAAQIECBAgQIAAAQK9FhAA7XUNOD4BAgQIECBAgAABAgQIECBAgAABAl0TEADtGq0dEyBAgAABAgQIECBAgAABAgQIECDQawEB0F7XgOMTIECAAAECBAgQIECAAAECBAgQINA1AQHQrtHaMQECBAgQIECAAAECBAgQIECAAAECvRYQAO11DTg+AQIECBAgQIAAAQIECBAgQIAAAQJdExAA7RqtHRMgQIAAAQIECBAgQIAAAQIECBAg0GsBAdBe14DjEyBAgAABAgQIECBAgAABAgQIECDQNQEB0K7R2jEBAgQIECBAgAABAgQIECBAgAABAr0WEADtdQ04PgECBAgQIECAAAECBAgQIECAAAECXRMQAO0arR0TIECAAAECBAgQIECAAAECBAgQINBrAQHQXteA4xMgQIAAAQIECBAgQIAAAQIECBAg0DUBAdCu0doxAQIECBAgQIAAAQIECBAgQIAAAQK9FhAA7XUNOD4BAgQIECBAgAABAgQIECBAgAABAl0TEADtGq0dEyBAgAABAgQIECBAgAABAgQIECDQawEB0F7XgOMTIECAAAECBAgQIECAAAECBAgQINA1AQHQrtHaMQECBAgQIECAAAECBAgQIECAAAECvRYQAO11DTg+AQIECBAgQIAAAQIECBAgQIAAAQJdExAA7RqtHRMgQIAAAQIECBAgQIAAAQIECBAg0GsBAdBe14DjEyBAgAABAgQIECBAgAABAgQIECDQNQEB0K7R2jEBAgQIECBAgAABAgQIECBAgAABAr0WEADtdQ04PgECBAgQIECAAAECBAgQIECAAAECXRMQAO0arR0TIECAAAECBAgQIECAAAECBAgQINBrAQHQXteA4xMgQIAAAQIECBAgQIAAAQIECBAg0DUBAdCu0doxAQIECBAgQIAAAQIECBAgQIAAAQK9FhAA7XUNOD4BAgQIECBAgAABAgQIECBAgAABAl0TEADtGq0dEyBAgAABAgQIECBAgAABAgQIECDQawEB0F7XgOMTIECAAAECBAgQIECAAAECBAgQINA1AQHQrtHaMQECBAgQIECAAAECBAgQIECAAAECvRYQAO11DTg+AQIECBAgQIAAAQIECBAgQIAAAQJdExAA7RqtHRMgQIAAAQIECBAgQIAAAQIECBAg0GsBAdBe14DjEyBAgAABAgQIECBAgAABAgQIECDQNQEB0K7R2jEBAgQIECBAgAABAgQIECBAgAABAr0WEADtdQ04PgECBAgQIECAAAECBAgQIECAAAECXRMQAO0arR0TIECAAAECBAgQIECAAAECBAgQINBrAQHQXteA4xMgQIAAAQIECBAgQIAAAQIECBAg0DUBAdCu0doxAQIECBAgQIAAAQIECBAgQIAAAQK9FhAA7XUNOD4BAgQIECBAgAABAgQIECBAgAABAl0TEADtGq0dEyBAgAABAgQIECBAgAABAgQIECDQawEB0F7XgOMTIECAAAECBAgQIECAAAECBAgQINA1AQHQrtHaMQECBAgQIECAAAECBAgQIECAAAECvRYQAO11DTg+AQIECBAgQIAAAQIECBAgQIAAAQJdExAA7RqtHRMgQIAAAQIECBAgQIAAAQIECBAg0GsBAdBe14DjEyBAgAABAgQIECBAgAABAgQIECDQNQEB0K7R2jEBAgQIECBAgAABAgQIECBAgAABAr0WEADtdQ04PgECBAgQIECAAAECBAgQIECAAAECXRMQAO0arR0TIECAAAECBAgQIECAAAECBAgQINBrAQHQXteA4xMgQIAAAQIECBAgQIAAAQIECBAg0DUBAdCu0doxAQIECBAgQIAAAQIECBAgQIAAAQK9FhAA7XUNOD4BAgQIECBAgAABAgQIECBAgAABAl0TEADtGq0dEyBAgAABAgQIECBAgAABAgQIECDQawEB0F7XgOMTIECAAAECBAgQIECAAAECBAgQINA1AQHQrtHaMQECBAgQIECAAAECBAgQIECAAAECvRYQAO11DTg+AQIECBAgQIAAAQIECBAgQIAAAQJdExAA7RqtHRMgQIAAAQIECBAgQIAAAQIECBAg0GsBAdBe14DjEyBAgAABAgQIECBAgAABAgQIECDQNQEB0K7R2jEBAgQIECBAgAABAgQIECBAgAABAr0WEADtdQ04PgECBAgQIECAAAECBAgQIECAAAECXRMQAO0arR0TIECAAAECBAgQIECAAAECBAgQINBrAQHQXteA4xMgQIAAAQIECBAgQIAAAQIECBAg0DUBAdCu0doxAQIECBAgQIAAAQIECBAgQIAAAQK9FhAA7XUNOD4BAgQIECBAgAABAgQIECBAgAABAl0TEADtGq0dEyBAgAABAgQIECBAgAABAgQIECDQawEB0F7XgOMTIECAAAECBAgQIECAAAECBAgQINA1AQHQrtHaMQECBAgQIECAAAECBAgQIECAAAECvRYQAO11DTg+AQIECBAgQIAAAQIECBAgQIAAAQJdExAA7RqtHRMgQIAAAQIECBAgQIAAAQIECBAg0GsBAdBe14DjEyBAgAABAgQIECBAgAABAgQIECDQNQEB0K7R2jEBAgQIECBAgAABAgQIECBAgAABAr0WEADtdQ04PgECBAgQIECAAAECBAgQIECAAAECXRMQAO0arR0TIECAAAECBAgQIECAAAECBAgQINBrAQHQXteA4xMgQIAAAQIECBAgQIAAAQIECBAg0DUBAdCu0doxAQIECBAgQIAAAQIECBAgQIAAAQK9FhAA7XUNOD4BAgQIECBAgAABAgQIECBAgAABAl0TEADtGq0dEyBAgAABAgQIECBAgAABAgQIECDQawEB0F7XgOMTIECAAAECBAgQIECAAAECBAgQINA1AQHQrtHaMQECBAgQIECAAAECBAgQIECAAAECvRYQAO11DTg+AQIECBAgQIAAAQIECBAgQIAAAQJdExAA7RqtHRMgQIAAAQIECBAgQIAAAQIECBAg0GsBAdBe14DjEyBAgAABAgQIECBAgAABAgQIECDQNQEB0K7R2jEBAgQIECBAgAABAgQIECBAgAABAr0WEADtdQ04PgECBAgQIECAAAECBAgQIECAAAECXRMQAO0arR0TIECAAAECBAgQIECAAAECBAgQINBrgUm9zsBojj9lypTRrFbrdZZccsks/5MnT05PPvlkrcsi8wQ6EZgwYUJj8zgfJAKDLBDnw8SJE9Mg/B0c5HpW9vYC+TVSrOV8aG9laf8L5OeDa6T+r2slbC/QfM/gOqm9laX9LxDnw6RJk9wzjFDVE54Ktom2jYBkMQECBAgQIECAAAECBAgQIECAAAEC9RSoRQvQu+66q566Y8h1PMVdbrnl0t13352eeOKJMWxpVQL9JfDc5z435a0b5s2bp0V0f1Wv0oxRYPr06WnRokXpoYceGuOWVifQPwL5NVKUaMGCBdm//imdkhAYm0C0dJs2bVpyjTQ2N2v3n0BcI0WLt0iDEC/ovxpUojIFZsyYkRYuXDgQ10grrrhiYbpaBEAHqZFqlHWQylv4m2vDgRBwPgxENSvkKAT8XRgFklUGRsD5MDBVraBtBFwjtcGxaOAE/F0YuCpX4GEEnAvDwPz/j02C1N7HUgIECBAgQIAAAQIECBAgQIAAAQIEaiwgAFrjypN1AgQIECBAgAABAgQIECBAgAABAgTaCwiAtvexlAABAgQIECBAgAABAgQIECBAgACBGgsIgNa48mSdAAECBAgQIECAAAECBAgQIECAAIH2AgKg7X0sJUCAAAECBAgQIECAAAECBAgQIECgxgICoDWuPFknQIAAAQIECBAgQIAAAQIECBAgQKC9gABoex9LCRAgQIAAAQIECBAgQIAAAQIECBCosYAAaI0rT9YJECBAgAABAgQIECBAgAABAgQIEGgvIADa3sdSAgQIECBAgAABAgQIECBAgAABAgRqLCAAWuPKk3UCBAgQIECAAAECBAgQIECAAAECBNoLCIC297GUAAECBAgQIECAAAECBAgQIECAAIEaCwiA1rjyZJ0AAQIECBAgQIAAAQIECBAgQIAAgfYCAqDtfSwlQIAAAQIECBAgQIAAAQIECBAgQKDGAgKgNa48WSdAgAABAgQIECBAgAABAgQIECBAoL2AAGh7H0sJECBAgAABAgQIECBAgAABAgQIEKixgABojStP1gkQIECAAAECBAgQIECAAAECBAgQaC8gANrex1ICBAgQIECAAAECBAgQIECAAAECBGosIABa48qTdQIECBAgQIAAAQIECBAgQIAAAQIE2gsIgLb3sZQAAQIECBAgQIAAAQIECBAgQIAAgRoLCIDWuPJknQABAgQIECBAgAABAgQIECBAgACB9gICoO19LCVAgAABAgQIECBAgAABAgQIECBAoMYCAqA1rjxZJ0CAAAECBAgQIECAAAECBAgQIECgvYAAaHsfSwkQIECAAAECBAgQIECAAAECBAgQqLGAAGiNK0/WCRAgQIAAAQIECBAgQIAAAQIECBBoLyAA2t7HUgIECBAgQIAAAQIECBAgQIAAAQIEaiwgAFrjypN1AgQIECBAgAABAgQIECBAgAABAgTaCwiAtvexlAABAgQIECBAgAABAgQIECBAgACBGgsIgNa48mSdAAECBAgQIECAAAECBAgQIECAAIH2AgKg7X0sJUCAAAECBAgQIECAAAECBAgQIECgxgICoDWuPFknQIAAAQIECBAgQIAAAQIECBAgQKC9gABoex9LCRAgQIAAAQIECBAgQIAAAQIECBCosYAAaI0rT9YJECBAgAABAgQIECBAgAABAgQIEGgvIADa3sdSAgQIECBAgAABAgQIECBAgAABAgRqLCAAWuPKk3UCBAgQIECAAAECBAgQIECAAAECBNoLCIC297GUAAECBAgQIECAAAECBAgQIECAAIEaCwiA1rjyZJ0AAQIECBAgQIAAAQIECBAgQIAAgfYCAqDtfSwlQIAAAQIECBAgQIAAAQIECBAgQKDGAgKgNa48WSdAgAABAgQIECBAgAABAgQIECBAoL2AAGh7H0sJECBAgAABAgQIECBAgAABAgQIEKixgABojStP1gkQIECAAAECBAgQIECAAAECBAgQaC8gANrex1ICBAgQIECAAAECBAgQIECAAAECBGosIABa48qTdQIECBAgQIAAAQIECBAgQIAAAQIE2gsIgLb3sZQAAQIECBAgQIAAAQIECBAgQIAAgRoLCIDWuPJknQABAgQIECBAgAABAgQIECBAgACB9gICoO19LCVAgAABAgQIECBAgAABAgQIECBAoMYCAqA1rjxZJ0CAAAECBAgQIECAAAECBAgQIECgvYAAaHsfSwkQIECAAAECBAgQIECAAAECBAgQqLGAAGiNK0/WCRAgQIAAAQIECBAgQIAAAQIECBBoLyAA2t7HUgIECBAgQIAAAQIECBAgQIAAAQIEaiwgAFrjypN1AgQIECBAgAABAgQIECBAgAABAgTaCwiAtvexlAABAgQIECBAgAABAgQIECBAgACBGgsIgNa48mSdAAECBAgQIECAAAECBAgQIECAAIH2AgKg7X0sJUCAAAECBAgQIECAAAECBAgQIECgxgICoDWuPFknQIAAAQIECBAgQIAAAQIECBAgQKC9gABoex9LCRAgQIAAAQIECBAgQIAAAQIECBCosYAAaI0rT9YJECBAgAABAgQIECBAgAABAgQIEGgvIADa3sdSAgQIECBAgAABAgQIECBAgAABAgRqLCAAWuPKk3UCBAgQIECAAAECBAgQIECAAAECBNoLCIC297GUAAECBAgQIECAAAECBAgQIECAAIEaCwiA1rjyZJ0AAQIECBAgQIAAAQIECBAgQIAAgfYCAqDtfSwlQIAAAQIECBAgQIAAAQIECBAgQKDGAgKgNa48WSdAgAABAgQIECBAgAABAgQIECBAoL2AAGh7H0sJECBAgAABAgQIECBAgAABAgQIEKixgABojStP1gkQIECAAAECBAgQIECAAAECBAgQaC8gANrex1ICBAgQIECAAAECBAgQIECAAAECBGosIABa48qTdQIECBAgQIAAAQIECBAgQIAAAQIE2gsIgLb3sZQAAQIECBAgQIAAAQIECBAgQIAAgRoLCIDWuPJknQABAgQIECBAgAABAgQIECBAgACB9gICoO19LCVAgAABAgQIECBAgAABAgQIECBAoMYCAqA1rjxZJ0CAAAECBAgQIECAAAECBAgQIECgvYAAaHsfSwkQIECAAAECBAgQIECAAAECBAgQqLGAAGiNK0/WCRAgQIAAAQIECBAgQIAAAQIECBBoLyAA2t7HUgIECBAgQIAAAQIECBAgQIAAAQIEaiwgAFrjypN1AgQIECBAgAABAgQIECBAgAABAgTaCwiAtvexlAABAgQIECBAgAABAgQIECBAgACBGgsIgNa48mSdAAECBAgQIECAAAECBAgQIECAAIH2AgKg7X0sJUCAAAECBAgQIECAAAECBAgQIECgxgICoDWuPFknQIAAAQIECBAgQIAAAQIECBAgQKC9gABoex9LCRAgQIAAAQIECBAgQIAAAQIECBCosYAAaI0rT9YJECBAgAABAgQIECBAgAABAgQIEGgvIADa3sdSAgQIECBAgAABAgQIECBAgAABAgRqLCAAWuPKk3UCBAgQIECAAAECBAgQIECAAAECBNoLCIC297GUAAECBAgQIECAAAECBAgQIECAAIEaCwiA1rjyZJ0AAQIECBAgQIAAAQIECBAgQIAAgfYCAqDtfSwlQIAAAQIECBAgQIAAAQIECBAgUb7dqQAAQABJREFUQKDGAgKgNa48WSdAgAABAgQIECBAgAABAgQIECBAoL2AAGh7H0sJECBAgAABAgQIECBAgAABAgQIEKixgABojStP1gkQIECAAAECBAgQIECAAAECBAgQaC8gANrep7SlDz30ULrzzjvTk08+WWif999/f3rggQcKbWsjAlUS6PRcyMvyyCOPpJtvvjndd999+UdeCdRKoNNz4Yknnkj/+Mc/UpwLEoE6C5TxXb7rrrvSo48+WmcGeSeQyjgXmhnj/iH+Fb3/aN6X9wTGW6DT66Txzq/jEeiWQBnnwsKFC1NcKw16mjToAN0s/3XXXZeOPPLIdO2116Z77703O9TSSy+d1lxzzbTDDjukbbfdNi2xxPAx6HvuuScdffTR6bzzzssuXmIHL3jBC9LrXve6tOuuu2bvu5l/+yZQlkCn50KrfOy3337prLPOSgcccEDafffdW63iMwKVE+j0XIgAzze+8Y105plnpr/97W/pX//6V1bGlVZaKb3mNa/JzodVV121cuWWIQJDBcr4Ll999dXp8MMPT9dcc016+OGH05JLLple8YpXZNdJu+yyS1phhRWGHtbPBConUMa50KpQ3/rWt7K/CbEszpUVV1yx1Wo+I1ApgU6vk+J3fzwcHinF/fTnPve5kVaznEDPBDo9FyLjd9xxRzrqqKOy66Q///nP2UO2ZZZZJr361a9O//mf/5le/vKX96x8vTrwhKeeCBZrkjiOOY6Wk3VLBx54YDrhhBPaZnudddZJ3/72t9OMGTPSlClT0nLLLZfmzZuXfTHjC/qOd7wjPfjggy33sfzyy6fvf//7A/mlbQniw8oKjPVcmD59enYTGwWKp1StfkWdeuqpaZ999snKLABa2aqXsSECYz0XYvP4+7Bo0aI0f/78dNNNN6Xtttuu7YX95MmTswv6HXfcccjR/UigOgJj/S7n10hRggULFqRoCfGlL30pe0g8XKme97znpfhbEQ+dJQJVFRjruRDliMYU06ZNG/YaKdaJHjJvectbGq2iBUBDRaq6wFivk+IaadKk/23PFfGCeJgQjYWiJfVIabPNNkunnHLKSKtZTqAnAmM9FyKTM2fOTNHKM66RIl1xxRXpIx/5SNvekoccckj60Ic+lK1fp/9mzZpVOLvDNz8c4y4vvvji9OlPfzrttNNO6T/+4z+y4FwdA5djLHbL1U8//fRG8HO11VZLJ510UtYK9JZbbknnn39+2nTTTbPtfv/736e99trrGfuIru7ROjSCn9Ga4fOf/3y68sorU6z/5S9/OT372c/Ovsjvec97sgucZ+zABwQqItDpudCqGBH433fffVst8hmBygp0ei7EBc2HP/zhLPg5YcKENHv27HTJJZekuXPnpt/+9rdZK7hll102C5bGE92rrrqqshYyNtgCZXyXf/SjHzWCn2uttVY67bTTUlxj3XDDDemYY45J8ZD473//e/Yg+a9//etggyt9ZQXKOBdaFe6xxx7LesZEMEgiUBeBTq+Topx/+tOfGsHP1772temtb33rsP+iBZxEoIoCZZwLP/vZz9I222yTxYxWXnnlFAHVX//61+mPf/xj+trXvpZdJ0XZoxV0xJkGKXXcAvTxxx9P+++/f/rNb36TuU2dOjV7Oh+ttuJmLLqAv+QlL+nItE6B1BiLLZoSx2t82S699NL0rGc96xnl/9jHPpbOPvvs7PNoKfrud7+70QI0WjXEv0jf/e530yabbJK9z/+L5tCxfnT3+uAHP5i++MUv5ou8EqiMQNFzIVquReA/UnML0HgfD1cuuuiip5VRC9CncfihggJFz4Wtttqq0QL0oIMOavyuH+5pbVz4x8V+dIt/8YtfnOLiRyJQNYF4kJtft4z2u/yrX/0qu0aKskTLhhe96EXZ34fo4v4///M/jWV5WeMBQPSiiWvRT33qU2nPPffMF3klUBmBIudC/F4fqQXoF77whexBQHNBtQBt1vC+agJFr5Oi4VVzC9C4b47f+ZEi2GNIoKrVtPyMJFD0XIh7hrwFaAyjuNFGG6Xbb789RUvJc889N0WvmOYUvQSiFXQ8MIveAt/85jebF1f+fU9bgB5//PFZ8DPGHzv00EOz8SpjXL7tt98+a8H4iU98ojH+ZeUlS8jg7373u8aEFDFGYavgZxzms5/9bONo0XonT/EljBajkeKLOzT4GZ9HgDVvqvzDH/4w6xoZn0sEqiTQ6bnQXJZo9bnxxhs3gp/RvUUiUBeBMs6Fyy67LCtu9CrYeeedWxY9WsK9733vy5ZFt8rhhlBpubEPCYyTQKff5QiG5oP477bbbs8IfkYxYjzcl73sZVmJPAgYp4p1mDELdHoutDpgBH2OPfbYFD0F4rpJIlAHgTKuk6Kc0QsgUgwRIfiZUfivZgJlnAsXXnhhFvyMokcLz6HBz/j8hS98Ydp8883jbbr88ssbcwpkH/T5fx11gY9WJhFRjhQ3ZG984xuzpzAxHkd01VtllVWysTjy1qF9bpkVr7nbYYzxOVyKVgvRRSvSjTfe2Fjt+uuvb0x4tMUWWzQ+H/omovyRovtMBJwlAlUT6PRcyMsTN6/R5T3GQIwL+o9//OPpO9/5Tr7YK4HKC3R6LsQYoNHyP1JM8NJu8ry111674REtQiUCVRIo+l1uvk567nOfm+IB89vf/vbGxXurMsa46pFuvfXWVot9RqCnAkXPhXa/1+M6aY899shaPkdPs3XXXbenZXRwAqMV6PQ6KT9O3EdHGsSJXXIDr/UWKONcyHsZR6OJrbfeeliQ6BYfwzPGUJYTJ04cdr1+W/C/owYXLNX999+fBT3/+c9/Zk1oh+4mAqLf+973sgDflltuOXRxX/4cY3pG8De67a+xxhrDljG6r4dfpGg9m6foopKndmOTvPSlL01LLbVUFq2P2U+HaxGU78srgfEW6PRcyPO7ePHi7O16662XDbcRszbG2G4SgboIdHouxMRG0VUlurTEQ4B2qfnciGFYJAJVEijjuxzDO0TvonYp/m784Q9/yFaJa1GJQNUEyjgXhpYphgSK2a/jHiEeHP/Xf/3X0FX8TKCSAp1eJ0WhYuKjGN8wkgBoxuC/GgqUcS7kjQ833HDDtgLRWDH+DVrqKAAarRhj4qPhUgxIHyn+EA9Sim7vI3XRveCCCxqzWze3FG1+stuu6X60AIrAaQzuHzPGSwSqKNDJuZCXJ86DGOohAqASgboKdHouxJPZFVdcsW3xYwiVn/zkJ9k60UquVZeXtjuwkMA4CBT5Lo/lAj3G/Yzxou+7776sNDEurkSgigJFzoXhfq9Hj7y4VorGETERWLxKBOok0Ol1UkwKGT0jI8UQKDFZXkwmE/fJ0eI65iR55StfmXbdddcUc5ZIBKoq0Mm5EA0h8lngX/WqV2VFjF7bMZl2DJFy2223pegtFkMFNcegqmrRjXx1FAAdLkMBH790IvocN2xveMMbhls1+zzWb2610rzyMsssk00m1PxZ3d/Hl/Lwww/PihEzukfT5HwA5/wLG+WOG9h2KQLQEQCNi3wXOu2kLKuqQKtzobmFW0yG9G//9m/PyH7z9z1uIJp/fsbKPiBQA4FW50J8r+N8iAdeo/mOn3jiidms8FHcGAt0NNvUgEYWB1Bg6Hc5v0YKilbnw9133521+Iwb3VNOOSVrMR3rxSRL73nPewZQUJH7RWDouRC/1/PzId5HwD9afcawEJGiYUre+i2uj/IU11P+JuQaXuso0Oo6qfmeIcY+z1N07c3His4/i78Tlz41OXEERb/61a9mc23ky7wSqJNAq3Mh//0esaE85bGimDy71aTiH/jAB1JMmhfxqEFKpQZA4xdPDLSaBzPj6cthhx2WnvOc57Q1Peecc54xW2G+QXR1Ou+88/Ifa/8aEfhtttmm8Us5ZoBsDvA8+uijWRlHEwDNn17FU62RgqW1h1OAvhMY6VyIAg/3vY4hJPIUT8mGWy9fxyuBKguMdC7EjL/xr12Klp8R7IkUA5sfddRRI27Tbn+WEeiVwEjf5bg+in/NKYJE+++/f/NHWSvQ6BIsEairwEjnQswlEAHQ9773vdk46W9605uyAGgeFGo+T2Jd10p1/SbI90jXSSGU9zyN9xH8jDHTN91006yV21/+8pdsrMMYXzEeGLz//e9P8T5/WBDbSATqIDDSuRBxoTxF0D/Ghb733nvT6quvnrWAjqErY6KluJc+9dRTU4ybG+dCHkDNt+3n144mQRoKEwPNR9PzfHKfaGJ7xRVXNLp6D11/0H5+/PHH03bbbZcuueSSrOgxLuqcOXOexrBgwYLs5ylTpjzt81Y/xPhBkfLm/q3W8RmBKgqM5lyoYr7liUDZAmWcC7/85S+zVm7RBT5aBn3zm98U/Cy7ouxvXASKfpfjhnattdZKMXZ6/rDg0EMPzYZgam4VNC6FcBACJQiM9lyIh10xWeSyyy6bvvWtb404TnQJWbMLAuMqMNrrpOjim6cYBiV+jvNj++23T9EiNHqmHnTQQdkqcb00e/bslM8zkG/nlUCVBUZzLkTr0Dztvffe2YTk8ZA4HgLExNmXXXZZNjnkm9/85my1GC8975mcb9fvr6W2AI1Zy/PJjqIb0sEHH5yBRhA0WoIOl6KlaDyJaZWiC31za69W69ThswhsfvCDH2wEP1//+tenk08+uVG2uGmNgGberSWi+yOVOw98xsX+SOvWwUgeB0NgpHMhgv95t63hvtePPPJIA2s050pjZW8IVEhgpHMhshq/3+MCPb7nrVLM3hiT4MXfgzhv4gY4xvQZ7txptQ+fEaiCQLvvcny38wfDcS7EzWtzii5c8S9S3CAcffTR2XVnTIgRwzD99re/HXEM3eb9eU+glwLtzoXIV37PEOO55a2cv/SlL2UtPJt/9zf/3YjrpuZlvSyfYxMYrcBI10lxjRTDnUQ6/vjjU3T/jQDQxhtv3PL7vs8++2QPDKIrfLSCi3Nts802G212rEegZwIjnQuRsTgfYjKwPMX7eBgccbbm3//R5T0mKo8xcaPndqwT9xJ5I8Z8+yq/Rg/QoqnUAGje5SIy86IXvSjD3HHHHdPll1+ebrjhhmEnQ9poo43ajsPRasyCogXuxXbz5s3LWn6GQaQNNtgga6ETX8r58+dnn8WFfQRAm1t15suyFVr8l3+R4wsw0rotNvcRgXEXGM25EE3w8wBoXMRE966hqfnpVgwb4fs/VMjPVRcYzbkQZYi/CXET2+o7Hi09Y7y3OEdiveOOOy5tsskmLdetuof8DbbASN/luEZqDoA2/w1oJReTXESQNIKiMU56vOZDRLRa32cEqiIw0rkQ+Yyb3Pi9H/dY8T3faqutsn9D/040d4WMc6aTG8aq+MjH4AiM5joprn3yAGiMcxtDAEUaei40q+20007ZWKDxWXT9fd3rXte82HsClRMYzbkQmY7rpJkzZzbyv/LKKzeGSGl82PQmrpXiPiLuM6688soUDfTqkjr5e1ZqAHQo2POf//y0xhprZIPRR4vQQZsNPjyi61V0e4/uWZFiENpomRC/pFul5ZZbLvs4LlTiy9huPIZ8htORxlhtdRyfERhvgbGeC+OdP8cjMF4CnZ4LceMbwZyvf/3rWZbj70bcNLuIH68adJyyBLr5Xf7oRz+ajS8frSZi6CEB0LJqzX66ITDWcyGC+nFvFSlm9I3W/0NTtHDL0w9+8IOsm3y0Ho37EolAlQU6vU5qV7Y8SBrrxHEkAlUWGOu5EEHPPEXsrbmBYv55/vqSl7wkf5v9PalTALSR8QJvOgqARovGiy++OMUMU8N1Yc8DfXnX7gJ5rO0mv/jFL9KHPvShrCl+FOITn/hEY5bG4QrV/Es5Wr5GEHm4lAdVY1BbiUCVBYqcC1Uuj7wRKCrQ6bkQLZ4//vGPZ922Ig+rrrpq+u53v5te8IIXFM2S7Qj0RKDb3+XoSRATaUYQ6Pbbb8+6heUthXpSYAclMIxAkXMh5lnIU3R/HykdccQR2SoxMZIA6EhalvdSoNPrpJHy3ty4KO9ZMNI2lhPohUCRc2GllVZqZDXvWdz4YMib5i7vDzzwwJCl/ftjRwHQ+IN95plnZk8U3/Oe9zTGr8y5HnzwwWyQ1fg5usQPUvr5z3+edthhh6wVZwR/v/jFL2azv49kEIP45ykGpR0uABoD2ebjIMb4DRKBqgoUPReqWh75IlBUoNNzIXoFxEO1mPAi0mte85qs5aeZfYvWiO16JdDJdznGeTv33HOzWU0vvPDCYXvURNnyrvIzZsxodJPsVZkdl0ArgaLnQgRuoit8uxTj4ebj5ebrdtJtsN2xLCNQhkDR66QYxzC68sYM1zG0Xrsgf/Ns8R4el1Fr9tENgaLnQgQ9474gZn6/+uqr22btb3/7W2P5rFmzGu/7/U1Hs8DH5EVxURmBzuiK1zzoaow7E08b4zXWa27Z2O+oN954YzaQbFzUxAXHd77znVEFP8MlBuvPL1Ly2eJbeTUvW2+99Vqt4jMCPRfo5FzoeeZlgECJAmWcC/ng/ZGtzTffPJ1++unZRU6J2bQrAuMi0Ml3OYKaMbZ8THAUM2UPl+Li/9Zbb80Wx3WoRKCKAkXPhbjvisYQ8R0f7l/MAJynmJA21rv22mvzj7wSqJRAJ9dJ06dPT6eddlq64IILsl4x7QoWvVfz9PKXvzx/65VAZQQ6OReiEO9617uyskRv4Xg4MFyKCSLz9KpXvSp/2/evHQVAown5QQcdlE1YEmPLBPbXvva1LBgaAwzHBeqyyy6bPvOZzwzMk/cYw2f//ffPZuSNMRdOPPHEthM8Df2GRfBziy22yD7+4Q9/mF3gD10nnm7lY7+9+tWvTn55DxXycxUEOj0XqlAGeSBQhkAZ58Jll12WzjrrrCw76667bjrppJMak8KUkUf7IDBeAp1+lyP4n6foXROt3Fql//zP/0yLFy/OFuXXVa3W8xmBXgl0ei70Kt+OS6BsgU6vk6JFdFwbRbruuuvST37yk5ZZjAdn+Xi566+/fmObliv7kEAPBDo9FyLLu+22W2MemXgfvbaHpjvuuCO7l4jPozfxILWG7qgLfIDFU/XojhQT+8QvlVNPPTU+zoKib37zm9Puu++e8ol9sgV9/l8EgmMWrUhrrrlm9qR1pKet8dRqzpw5DZlPfepT2ROsaD0bQwuccMIJWcvQCKjefPPNWRfIGB80UvPT3cYOvCFQAYGi58Kee+5ZgdzLAoHyBIqeC3kXrvhbcMABBzQyFEOlHHvssY2fh3vztre9baAuaIZz8Hl1BIp+l2MCyXySr1e84hVZ98YY+za6d8XF/WGHHZb1SIqS3n333dn58uMf/zgreARMhxunvjoycjJoAkXPhfi9rkXzoH1b+r+8Ra+T9tprrwZOdIHfeuuts96ncS9x6KGHZpMPxwrxMOz888/P5uKI9zE8XTTQkghUTaDouZDfM0R5VlxxxfSBD3wgffvb387GQY9JIffdd9+UT3oU104xA/zChQuzON1XvvKVqjF0NT8TnooyP1nWEe6///4UYwnE+DIxMUPzIMOdHCMP9nWyj/HadoMNNsi6pIzleDF7Y3RNiUDxvHnzsqEE4sI9JrrIx/mMQWqjdWg+8VHsP26II8AsEaiiQNFzIR4Y5JOn3XXXXanVr6hozp/fDDsPqlj78tQsUPRciKFOYpiZGEZl9uzZzbsc1fvogbDllluOal0rERgPgbPPPjt97GMfG/OhTjnllLT99ttn28Ws7vfcc0963/vel6666qrss5jcKCaEjKBSc3ev6CUTrX2Mkztmcht0WaDouRC/1+OBwLRp09Jw10h51uOmNp/8KG5446ZYIlBFgaLXSdHaM59oOeIFETyKYSXyYfmmTp2aVllllTR37tws2BNlj78H0bjIEHJV/CbIU9FzIe4ZZs6cmX3PY6igiCFFr+SYrydPMUFSjAsd11CRIrZ0xhlnpDp2f+9kzNKOusDnmPlrBPDiyXw0oS0r+Jnvuw6vEUWPX7BlpLhpjXFMont7tPy87777GsHPCC7HUAOCn2VI20c3BMo8F7qRP/skMF4CZZwLN9xww3hl13EIdFXgT3/6Uyn7j+6OEUD6/Oc/nw21FDe7Mb5hHvyMh8bRKjQmSxL8LIXcTkoWKOtcKDlbdkdg3AXKuE7KM73NNtukCARtuOGG2UcRCIoeqnGMZz/72WnTTTdNF110keBnDua1UgJlngvLLLNM+upXv5pNxB0PASJFt/c8+Bk9CeLhch2Dn51WWqktQDvNzHDb16kF6HBlGOnzuJhvbgHavP7DDz+cYkb4+CUeLRzi38SJE5tX8Z5A3wjEkBAjtQDtm8IqCIERBKIFaLRqmz9//ghrWkygfwXya6QoYbQAjeuhPEXwM3of/fnPf84evr/4xS9OnbQMyPfrlUBVBaLVzmhagFY1//JFoCyBuEZqbgHavN/4WxEPxiLoE5Mxx9B00ahIItCvAs0tQIeWMXpqR4vpGALi+c9/fnY+DF2nTj93cp3X8RigdYKqa15jSAHN9Otae/JNgAABAgQIdEsgur+vttpq2b9uHcN+CRAgQKBeAtHiM3qmxj+JwKALREO7jTbaaNAZsvKX2gWeKAECBAgQIECAAAECBAgQIECAAAECBKokIABapdqQFwIECBAgQIAAAQIECBAgQIAAAQIEShUQAC2V084IECBAgAABAgQIECBAgAABAgQIEKiSgABolWpDXggQIECAAAECBAgQIECAAAECBAgQKFVAALRUTjsjQIAAAQIECBAgQIAAAQIECBAgQKBKAgKgVaoNeSFAgAABAgQIECBAgAABAgQIECBAoFQBAdBSOe2MAAECBAgQIECAAAECBAgQIECAAIEqCQiAVqk25IUAAQIECBAgQIAAAQIECBAgQIAAgVIFBEBL5bQzAgQIECBAgAABAgQIECBAgAABAgSqJCAAWqXakBcCBAgQIECAAAECBAgQIECAAAECBEoVEAAtldPOCBAgQIAAAQIECBAgQIAAAQIECBCokoAAaJVqQ14IECBAgAABAgQIECBAgAABAgQIEChVQAC0VE47I0CAAAECBAgQIECAAAECBAgQIECgSgICoFWqDXkhQIAAAQIECBAgQIAAAQIECBAgQKBUAQHQUjntjAABAgQIECBAgAABAgQIECBAgACBKgkIgFapNuSFAAECBAgQIECAAAECBAgQIECAAIFSBQRAS+W0MwIECBAgQIAAAQIECBAgQIAAAQIEqiQgAFql2pAXAgQIECBAgAABAgQIECBAgAABAgRKFRAALZXTzggQIECAAAECBAgQIECAAAECBAgQqJKAAGiVakNeCBAgQIAAAQIECBAgQIAAAQIECBAoVUAAtFROOyNAgAABAgQIECBAgAABAgQIECBAoEoCAqBVqg15IUCAAAECBAgQIECAAAECBAgQIECgVAEB0FI57YwAAQIECBAgQIAAAQIECBAgQIAAgSoJCIBWqTbkhQABAgQIECBAgAABAgQIECBAgACBUgUEQEvltDMCBAgQIECAAAECBAgQIECAAAECBKokIABapdqQFwIECBAgQIAAAQIECBAgQIAAAQIEShUQAC2V084IECBAgAABAgQIECBAgAABAgQIEKiSgABolWpDXggQIECAAAECBAgQIECAAAECBAgQKFVAALRUTjsjQIAAAQIECBAgQIAAAQIECBAgQKBKAgKgVaoNeSFAgAABAgQIECBAgAABAgQIECBAoFQBAdBSOe2MAAECBAgQIECAAAECBAgQIECAAIEqCQiAVqk25IUAAQIECBAgQIAAAQIECBAgQIAAgVIFBEBL5bQzAgQIECBAgAABAgQIECBAgAABAgSqJCAAWqXakBcCBAgQIECAAAECBAgQIECAAAECBEoVEAAtldPOCBAgQIAAAQIECBAgQIAAAQIECBCokoAAaJVqQ14IECBAgAABAgQIECBAgAABAgQIEChVQAC0VE47I0CAAAECBAgQIECAAAECBAgQIECgSgICoFWqDXkhQIAAAQIECBAgQIAAAQIECBAgQKBUAQHQUjntjAABAgQIECBAgAABAgQIECBAgACBKgkIgFapNuSFAAECBAgQIECAAAECBAgQIECAAIFSBQRAS+W0MwIECBAgQIAAAQIECBAgQIAAAQIEqiQgAFql2pAXAgQIECBAgAABAgQIECBAgAABAgRKFRAALZXTzggQIECAAAECBAgQIECAAAECBAgQqJKAAGiVakNeCBAgQIAAAQIECBAgQIAAAQIECBAoVUAAtFROOyNAgAABAgQIECBAgAABAgQIECBAoEoCAqBVqg15IUCAAAECBAgQIECAAAECBAgQIECgVAEB0FI57YwAAQIECBAgQIAAAQIECBAgQIAAgSoJCIBWqTbkhQABAgQIECBAgAABAgQIECBAgACBUgUEQEvltDMCBAgQIECAAAECBAgQIECAAAECBKokIABapdqQFwIECBAgQIAAAQIECBAgQIAAAQIEShUQAC2V084IECBAgAABAgQIECBAgAABAgQIEKiSgABolWpDXggQIECAAAECBAgQIECAAAECBAgQKFVAALRUTjsjQIAAAQIECBAgQIAAAQIECBAgQKBKAgKgVaoNeSFAgAABAgQIECBAgAABAgQIECBAoFQBAdBSOe2MAAECBAgQIECAAAECBAgQIECAAIEqCQiAVqk25IUAAQIECBAgQIAAAQIECBAgQIAAgVIFBEBL5bQzAgQIECBAgAABAgQIECBAgAABAgSqJCAAWqXakBcCBAgQIECAAAECBAgQIECAAAECBEoVEAAtldPOCBAgQIAAAQIECBAgQIAAAQIECBCokoAAaJVqQ14IECBAgAABAgQIECBAgAABAgQIEChVQAC0VE47I0CAAAECBAgQIECAAAECBAgQIECgSgICoFWqDXkhQIAAAQIECBAgQIAAAQIECBAgQKBUAQHQUjntjAABAgQIECBAgAABAgQIECBAgACBKgkIgFapNuSFAAECBAgQIECAAAECBAgQIECAAIFSBQRAS+W0MwIECBAgQIAAAQIECBAgQIAAAQIEqiQgAFql2pAXAgQIECBAgAABAgQIECBAgAABAgRKFRAALZXTzggQIECAAAECBAgQIECAAAECBAgQqJKAAGiVakNeCBAgQIAAAQIECBAgQIAAAQIECBAoVUAAtFROOyNAgAABAgQIECBAgAABAgQIECBAoEoCAqBVqg15IUCAAAECBAgQIECAAAECBAgQIECgVAEB0FI57YwAAQIECBAgQIAAAQIECBAgQIAAgSoJCIBWqTbkhQABAgQIECBAgAABAgQIECBAgACBUgUEQEvltDMCBAgQIECAAAECBAgQIECAAAECBKokIABapdqQFwIECBAgQIAAAQIECBAgQIAAAQIEShUQAC2V084IECBAgAABAgQIECBAgAABAgQIEKiSgABolWpDXggQIECAAAECBAgQIECAAAECBAgQKFVAALRUTjsjQIAAAQIECBAgQIAAAQIECBAgQKBKAgKgVaoNeSFAgAABAgQIECBAgAABAgQIECBAoFQBAdBSOe2MAAECBAgQIECAAAECBAgQIECAAIEqCQiAVqk25IUAAQIECBAgQIAAAQIECBAgQIAAgVIFBEBL5bQzAgQIECBAgAABAgQIECBAgAABAgSqJCAAWqXakBcCBAgQIECAAAECBAgQIECAAAECBEoVEAAtldPOCBAgQIAAAQIECBAgQIAAAQIECBCokoAAaJVqQ14IECBAgAABAgQIECBAgAABAgQIEChVQAC0VE47I0CAAAECBAgQIECAAAECBAgQIECgSgICoFWqDXkhQIAAAQIECBAgQIAAAQIECBAgQKBUAQHQUjntjAABAgQIECBAgAABAgQIECBAgACBKgkIgFapNuSFAAECBAgQIECAAAECBAgQIECAAIFSBSY8+VQqdY9d2NmiRYu6sNdq7XKJJZZISy65ZBqEslZLXm6qJhDnQZwPkZwPVasd+RlvgTgf4s/0448/Pt6HdjwClRHIr5EiQ3EuLF68uDJ5kxEC4y2Qnw+ukcZb3vGqJuCeoWo1Ij+9FFhqqaWy66NBuEaaPHlyYepJhbccxw1rEKPtWCMvY/7a8Q7tgEAfCDgf+qASFaFjgTgPnAsdM9pBjQWGfv+H/lzjosk6gTEL5N///HXMO7ABgT4UcD70YaUqUiEB50J7tloEQO+///72peiDpVOmTEkRtX/wwQfTE0880QclUgQCxQSmT5/eaAH6wAMPCPwUY7RVnwjMmDEjawk9f/78PimRYhAYu0B+jRRbPvroo+mhhx4a+05sQaBPBJZeeunsnsE1Up9UqGIUFohrpLzX2CDECwpD2XAgBGbOnDkw10izZs0qXKfGAC1MZ0MCBAgQIECAAAECBAgQIECAAAECBKouIABa9RqSPwIECBAgQIAAAQIECBAgQIAAAQIECgsIgBamsyEBAgQIECBAgAABAgQIECBAgAABAlUXEACteg3JHwECBAgQIECAAAECBAgQIECAAAEChQUEQAvT2ZAAAQIECBAgQIAAAQIECBAgQIAAgaoLCIBWvYbkjwABAgQIECBAgAABAgQIECBAgACBwgICoIXpbEiAAAECBAgQIECAAAECBAgQIECAQNUFBECrXkPyR4AAAQIECBAgQIAAAQIECBAgQIBAYQEB0MJ0NiRAgAABAgQIECBAgAABAgQIECBAoOoCAqBVryH5I0CAAAECBAgQIECAAAECBAgQIECgsIAAaGE6GxIgQIAAAQIECBAgQIAAAQIECBAgUHUBAdCq15D8ESBAgAABAgQIECBAgAABAgQIECBQWEAAtDCdDQkQIECAAAECBAgQIECAAAECBAgQqLqAAGjVa0j+CBAgQIAAAQIECBAgQIAAAQIECBAoLCAAWpjOhgQIECBAgAABAgQIECBAgAABAgQIVF1AALTqNSR/BAgQIECAAAECBAgQIECAAAECBAgUFhAALUxnQwIECBAgQIAAAQIECBAgQIAAAQIEqi4gAFr1GpI/AgQIECBAgAABAgQIECBAgAABAgQKCwiAFqazIQECBAgQIECAAAECBAgQIECAAAECVRcQAK16DckfAQIECBAgQIAAAQIECBAgQIAAAQKFBQRAC9PZkAABAgQIECBAgAABAgQIECBAgACBqgsIgFa9huSPAAECBAgQIECAAAECBAgQIECAAIHCAgKghelsSIAAAQIECBAgQIAAAQIECBAgQIBA1QUEQKteQ/JHgAABAgQIECBAgAABAgQIECBAgEBhAQHQwnQ2JECAAAECBAgQIECAAAECBAgQIECg6gICoFWvIfkjQIAAAQIECBAgQIAAAQIECBAgQKCwgABoYTobEiBAgAABAgQIECBAgAABAgQIECBQdQEB0KrXkPwRIECAAAECBAgQIECAAAECBAgQIFBYQAC0MJ0NCRAgQIAAAQIECBAgQIAAAQIECBCouoAAaNVrSP4IECBAgAABAgQIECBAgAABAgQIECgsIABamM6GBAgQIECAAAECBAgQIECAAAECBAhUXUAAtOo1JH8ECBAgQIAAAQIECBAgQIAAAQIECBQWEAAtTGdDAgQIECBAgAABAgQIECBAgAABAgSqLiAAWvUakj8CBAgQIECAAAECBAgQIECAAAECBAoLCIAWprMhAQIECBAgQIAAAQIECBAgQIAAAQJVFxAArXoNyR8BAgQIECBAgAABAgQIECBAgAABAoUFBEAL09mQAAECBAgQIECAAAECBAgQIECAAIGqCwiAVr2G5I8AAQIECBAgQIAAAQIECBAgQIAAgcICAqCF6WxIgAABAgQIECBAgAABAgQIECBAgEDVBQRAq15D8keAAAECBAgQIECAAAECBAgQIECAQGEBAdDCdDYkQIAAAQIECBAgQIAAAQIECBAgQKDqAgKgVa8h+SNAgAABAgQIECBAgAABAgQIECBAoLCAAGhhOhsSIECAAAECBAgQIECAAAECBAgQIFB1AQHQqteQ/BEgQIAAAQIECBAgQIAAAQIECBAgUFhAALQwnQ0JECBAgAABAgQIECBAgAABAgQIEKi6gABo1WtI/ggQIECAAAECBAgQIECAAAECBAgQKCwgAFqYzoYECBAgQIAAAQIECBAgQIAAAQIECFRdQAC06jUkfwQIECBAgAABAgQIECBAgAABAgQIFBYQAC1MZ0MCBAgQIECAAAECBAgQIECAAAECBKouIABa9RqSPwIECBAgQIAAAQIECBAgQIAAAQIECgsIgBamsyEBAgQIECBAgAABAgQIECBAgAABAlUXEACteg3JHwECBAgQIECAAAECBAgQIECAAAEChQUEQAvT2ZAAAQIECBAgQIAAAQIECBAgQIAAgaoLCIBWvYbkjwABAgQIECBAgAABAgQIECBAgACBwgICoIXpbEiAAAECBAgQIECAAAECBAgQIECAQNUFBECrXkPyR4AAAQIECBAgQIAAAQIECBAgQIBAYQEB0MJ0NiRAgAABAgQIECBAgAABAgQIECBAoOoCAqBVryH5I0CAAAECBAgQIECAAAECBAgQIECgsIAAaGE6GxIgQIAAAQIECBAgQIAAAQIECBAgUHUBAdCq15D8ESBAgAABAgQIECBAgAABAgQIECBQWEAAtDCdDQkQIECAAAECBAgQIECAAAECBAgQqLqAAGjVa0j+CBAgQIAAAQIECBAgQIAAAQIECBAoLCAAWpjOhgQIECBAgAABAgQIECBAgAABAgQIVF1AALTqNSR/BAgQIECAAAECBAgQIECAAAECBAgUFhAALUxnQwIECBAgQIAAAQIECBAgQIAAAQIEqi4gAFr1GpI/AgQIECBAgAABAgQIECBAgAABAgQKCwiAFqazIQECBAgQIECAAAECBAgQIECAAAECVRcQAK16DckfAQIECBAgQIAAAQIECBAgQIAAAQKFBQRAC9PZkAABAgQIECBAgAABAgQIECBAgACBqgsIgFa9huSPAAECBAgQIECAAAECBAgQIECAAIHCAgKghelsSIAAAQIECBAgQIAAAQIECBAgQIBA1QUEQKteQ/JHgAABAgQIECBAgAABAgQIECBAgEBhAQHQwnQ2JECAAAECBAgQIECAAAECBAgQIECg6gICoFWvIfkjQIAAAQIECBAgQIAAAQIECBAgQKCwgABoYTobEiBAgAABAgQIECBAgAABAgQIECBQdQEB0KrXkPwRIECAAAECBAgQIECAAAECBAgQIFBYQAC0MJ0NCRAgQIAAAQIECBAgQIAAAQIECBCouoAAaNVrSP4IECBAgAABAgQIECBAgAABAgQIECgsIABamM6GBAgQIECAAAECBAgQIECAAAECBAhUXUAAtOo1JH8ECBAgQIAAAQIECBAgQIAAAQIECBQWEAAtTGdDAgQIECBAgAABAgQIECBAgAABAgSqLiAAWvUakj8CBAgQIECAAAECBAgQIECAAAECBAoLCIAWprMhAQIECBAgQIAAAQIECBAgQIAAAQJVFxAArXoNyR8BAgQIECBAgAABAgQIECBAgAABAoUFBEAL09mQAAECBAgQIECAAAECBAgQIECAAIGqCwiAVr2G5I8AAQIECBAgQIAAAQIECBAgQIAAgcICAqCF6WxIgAABAgQIECBAgAABAgQIECBAgEDVBQRAq15D8keAAAECBAgQIECAAAECBAgQIECAQGEBAdDCdDYkQIAAAQIECBAgQIAAAQIECBAgQKDqAgKg41RDDz30ULrzzjvTk08+OU5HdBgC1RTo9FxYvHhx+vvf/54WLVpUzQLKFQECBAgQIECAAAECBAgQIFApgUmVyk2fZea6665LRx55ZLr22mvTvffem5Vu6aWXTmuuuWbaYYcd0rbbbpuWWOLpMegvf/nL6cILLxyzxLnnnpsmT5485u1sQGA8BIqcC835igcHp556ajrxxBPTrbfemh577LHs3Hn+85+f3vnOd6Y99tjD978ZzHsCBAgQIECAAAECBAgQIECgITDhqcBC5ZskRsvJuqUDDzwwnXDCCW2zvc4666Rvf/vbacaMGWnKlClpueWWSx/84AfT97///bbbtVoYQaEIrkoEqiYw1nNh+vTpackll8yKcdddd6VHHnkke1jwm9/8Ztiirb766lmAdNVVVx12HQsI1FEg/j5Ea+f58+fXMfvyTKAUgfwaKXa2YMGCFD0JJAKDKhDX+9OmTUtxjVSD27hBrSblHgeBuEaaNOl/23PVMV4wDkQOMUACM2fOTAsXLhyIa6RZs2YVrtmnNz8svJunbxh/jA866KA0Z86cNG/evKcvHICfTj/99Ebwc7XVVksnnXRS1gr0lltuSeeff37adNNNM4Xf//73aa+99nqayMte9rL01re+dcR/L3nJSxrbvepVr9L6raHhTZUEOjkX8nIccsghKQ9+brbZZuniiy9Ot912W/bZLrvskq02d+7ctPvuu6foHi8RIECAAAECBAgQIECAAAECBJoFutIC9LTTTkvHHXdcdpxozbjKKqs0H3PM7+v0RCdaq7385S/PWq2tvPLK6dJLL03PetaznlHmj33sY+nss8/OPo+Wou9+97uzFqARMH7iiSeesX7zB9HyIYKkEfSJSP9FF12UVlhhheZVvCfQc4Gi58KOO+7YaAF6zTXXpAjwR3rDG96QIqA6dNiIgw8+OH3961/P1onXt7/97dl7/xHoBwEtQPuhFpWhUwEtQDsVtH0/CWgB2k+1qSydCGgB2omebftNQAvQ0dVo6S1Ao5Xj8ccfP7qj9+Fav/vd77LgZxRtv/32axn8jGWf/exn4yVLv/3tb/O3o3rde++9s+DnxIkTszERBT9HxWalcRYo41yIsUPzNHv27GcEP2PZRz7ykXyVFAFTiQABAgQIECBAgAABAgQIECDQLFBqADTGKYvWWDEWx1JLLdV8nIF5f9VVVzXKGmN8DpciaLn88stni2+88cbhVnvG5zERzAUXXJB9/uEPfzi95jWvecY6PiBQBYEyzoUHHnigUZQYI7dVijFD42FApHvuuafVKj4jQIAAAQIECBAgQIAAAQIEBlig1ABodD+NbtkxI/MyyywzkKwxpufNN9+cfv7zn6c11lhjWIOHH3443X///dnylVZaadj1mhdEMOjQQw/NPoru9fvss0/zYu8JVEqgjHNh4403bpQpWpS2Stdff31j7M+NNtqo1So+I0CAAAECBAgQIECAAAECBAZYoLQA6JVXXpnOPPPM9PrXv37gx+CLMT9f8IIXtOyum3/XohVnPnNju5ai+frxesQRR6T77rsv++iwww4b2CBzs4n31Rbo9FyIltIxpm6kr371q2loa+l4KLD//vtny6MV6CabbJK99x8BAgQIECBAgAABAgQIECBAIBcoZRKkBx98MMXEJY8//ng65ZRTsq7dW2+9dYrgxGgmQfrpT3+aTeSTZ6r5NVpH7rbbbs0f1f59TGL0yle+Mt1xxx1p6tSp6eqrr84mipo8eXJauHBhy/JFq9IIlEbQdP31109hJhGou0CrcyFaTucTHcX5cNNNN6WtttoqO1+WXHLJ9N73vjetvfbaKSZHO+uss1JMHLbqqqumb37zm9kDmLqbyD+BZoH4uxAT4z322GPNH3tPYKAE4m9CnAuR4lyI602JwKAKxAPfGGpsuHuGQXVR7sETiL8LzfcMgyegxAT+TyDOh8WLFw/ENVJMBlg0TSq6YfN2X/ziF9O9996bdc/Ox7VsXj7S+whw/OhHP2q52otf/OIUk/70S/rXv/6Vtt122yyYE2U6+uijs9aiefmGq8xjjz220WL0wAMPTMOtl+/HK4GqC4x0LkT+43segf8bbrghve1tb0tXXHFF9lCluWzRSvTyyy/PgqDNn3tPoF8E4uI+xtaWCBBIKR6ExT+JwKALuBcY9G+A8jcLOB+aNbwfVIG4Z3CN1L72O+4CH125L7vssrTFFlukN77xje2PNuBLo8XCdtttly655JJMYsstt0xz5swZUeWuu+7KWtbGiuuuu27afPPNR9zGCgSqLDCWc+Hiiy9OL33pS7PgZ5Tpec97XtbVPR9mIlqARjf5448/vspFljcCBAgQIECAAAECBAgQIECgRwIdNSmJLtxf+cpX0oorrpg+8YlPFC7C+973vrRx02QnzTuKpzn//Oc/mz+q5fsFCxak2bNnp5/97GdZ/iOQedxxxzXKFl1ZnvOc52QtafOxQfOCRgvbRYsWZT9+9KMfbWyTL/dKoE4CI50L06ZNa7R2O/fcc7Mu79HlMYbDiN83zb8r/vznP2eTrsUwErvuumuaP39+2nnnnevEIa8E2grE+RDf/5g4TyIwqAL5NVKU/5FHHsn+DaqFchOIbo4xhFY/3B+pTQKdCDTfMzgfOpG0bT8ILLfcclnMKK6T+j1Nnz69cBELB0BjfIGDDz44Pfroo+nII49MMdlJ0TRz5swU/4ZLMdZfnVO0UIuWn9GNN9IGG2yQjVcYFzD5uG4xnk+kaBkX4701pxjnMFJ8qSP4k2/TvI73BOogMJpzofkBwOc+97ns+x7df7/zne9kY382f/9XX3319IMf/CBrEXr77benQw45JJuELR4mSAT6RcAYoP1Sk8pRVCC/RortnQ9FFW3XLwL5kChxz9B8zdQv5VMOAkUEmu8PimxvGwL9IOAaaeRaLBwAveWWW7KAXowz8JnPfOYZR4oJkCJFq6xYJ15jIpNBSzG+aQQ///GPf2RFf/e7352N+znasRmuv/76dNttt2XbxhiIo91u0JyVt/oCYz0X/v73v6ff//73WcHe9a53ZcHPVqWMhy+f+tSnspagManSRRddlLUabbWuzwgQIECAAAECBAgQIECAAIHBEygcAA2q/Il8BB2GS3m3vUF8KvOLX/wifehDH0q5TwwTsN9++w1H1fLz888/v/H5O9/5zsZ7bwjUSaDIuXDrrbc2iviyl72s8b7VmxgDNE9/+ctf8rdeCRAgQIAAAQIECBAgQIAAAQKpcAA0Zme/9NJLhyXceuutU7QCjW6rq6yyyrDr9euCn//852mHHXZIMdN1dFWJcTy32WabMRc3JpiKFGP9xLihEoG6CRQ9F5q7sT/44INtiz1hwoTG8ilTpjTee0OAAAECBAgQIECAAAECBAgQKBwARTe8wI033phNxBLBz5jE6eSTT04bbbTR8BsMsyTGV83HDY2Ac3OQZ5hNfEygUgKdnAsx83s8PIgxrn71q1+1Lde1117bWD5Sa9HGit4QIECAAAECBAgQIECAAAECAyGwxECUchwLGYOR77///mnhwoVZwPLEE08sFPyMLP/hD3/Igj/xfq211ooXiUBtBDo9F2LW3/XWWy8r769//ev04x//uGXZY6a7mIgtUowHus4667Rcz4cECBAgQIAAAQIECBAgQIDAYApoAVpyvceM1FdeeWW21zXXXDNFy7Tm1mmtDjd9+vQ0Z86cZyz64x//2PgsWoBKBOokUPRc2HPPPRvFjKEjNtlkk+yBQkyk9oUvfCFtueWWabnllsvWiUnC9t133xQzwEf6/Oc/n5Zffvnsvf8IECBAgAABAgQIECBAgAABAiEw4alWWk9WneLOO++sehYb+dtggw3SWCdhWXvttdMVV1yRBXXmzZuXnnjiiWx/RxxxRPrKV76SvT/jjDPS+uuv3ziONwSqLlD0XIgHBksuuWRWvLvuuiudc845ae+9986CoHmZX/jCF6Z777033XfffflHaaeddkqHHXZY42dvCPSDwIwZM9KiRYvS/Pnz+6E4ykCgkECM7Zw/+FqwYEFjcslCO7MRgZoLxPBa06ZNS3GNVIPbuJpry36VBeIaKYbLilSneEGVTeWtvgIzZ87M7pfzCbjrW5KRcz5r1qyRVxpmDV3gh4Ep8nF0e587d26RTVtuc/fddzc+1wK0QeFNDQTKPBfe8Y53pJgM7C1veUuaOHFiVvqbb765EfyM4SHOPPNMwc8afC9kkQABAgQIECBAgAABAgQI9EJAC9BeqLc4Zt66obkFaIvVfESg7wViSIjmFqDNrRtiYrFoYR0PGlZYYYUULUGnTp3a9yYKOLgCWoAObt0r+f8J5NdI8YkWoP/n4t1gCmgBOpj1rtTPFNAC9JkmPhlcAS1AR1f3xgAdnZO1CBCogEBMjBQtPk0KVoHKkAUCBAgQIECAAAECBAgQIFATAV3ga1JRskmAAAECBAgQIECAAAECBAgQIECAwNgFBEDHbmYLAgQIECBAgAABAgQIECBAgAABAgRqIiAAWpOKkk0CBAgQIECAAAECBAgQIECAAAECBMYuIAA6djNbECBAgAABAgQIECBAgAABAgQIECBQEwEB0JpUlGwSIECAAAECBAgQIECAAAECBAgQIDB2AQHQsZvZggABAgQIECBAgAABAgQIECBAgACBmggIgNakomSTAAECBAgQIECAAAECBAgQIECAAIGxCwiAjt3MFgQIECBAgAABAgQIECBAgAABAgQI1ERAALQmFSWbBAgQIECAAAECBAgQIECAAAECBAiMXUAAdOxmtiBAgAABAgQIECBAgAABAgQIECBAoCYCAqA1qSjZJECAAAECBAgQIECAAAECBAgQIEBg7AICoGM3swUBAgQIECBAgAABAgQIECBAgAABAjUREACtSUXJJgECBAgQIECAAAECBAgQIECAAAECYxcQAB27mS0IECBAgAABAgQIECBAgAABAgQIEKiJgABoTSpKNgkQIECAAAECBAgQIECAAAECBAgQGLuAAOjYzWxBgAABAgQIECBAgAABAgQIECBAgEBNBARAa1JRskmAAAECBAgQIECAAAECBAgQIECAwNgFBEDHbmYLAgQIECBAgAABAgQIECBAgAABAgRqIiAAWpOKkk0CBAgQIECAAAECBAgQIECAAAECBMYuIAA6djNbECBAgAABAgQIECBAgAABAgQIECBQEwEB0JpUlGwSIECAAAECBAgQIECAAAECBAgQIDB2AQHQsZvZggABAgQIECBAgAABAgQIECBAgACBmggIgNakomSTAAECBAgQIECAAAECBAgQIECAAIGxCwiAjt3MFgQIECBAgAABAgQIECBAgAABAgQI1ERAALQmFSWbBAgQIECAAAECBAgQIECAAAECBAiMXUAAdOxmtiBAgAABAgQIECBAgAABAgQIECBAoCYCAqA1qSjZJECAAAECBAgQIECAAAECBAgQIEBg7AITnnwqjX2z8d3ioYceGt8D9uBoEyZMSEsssURavHhxD47ukASqI3DOOeeke+65J8vQzjvvnCZNmlSdzMkJgXEWiL8L8We6Bn+qx1nG4QZJ4K9//Wv66U9/mhV5nXXWSa997WsHqfjKSuBpAu4ZnsbhhwEWOOOMM9IDDzyQCeyyyy4DLKHoBFIWSxqUe4apU6cWrvJaBEALl86GBAjUTuBd73pXuuGGG7J8X3PNNWmZZZapXRlkmAABAgTKE/jv//7vtMcee2Q7/MhHPpL23nvv8nZuTwQIECBQS4G3vvWtae7cuVneb7rpplqWQaYJEBhfAV3gx9fb0QgQIECAAAECBAgQIECAAAECBAgQGEcBAdBxxHYoAgQIECBAgAABAgQIECBAgAABAgTGV0AAdHy9HY0AAQIECBAgQIAAAQIECBAgQIAAgXEUEAAdR2yHIkCAAAECBAgQIECAAAECBAgQIEBgfAUEQMfX29EIECBAgAABAgQIECBAgAABAgQIEBhHgUnjeCyHIkCAwIgCa6yxRnriiSey9SZOnDji+lYgQIAAgf4WmDp1alp77bWzQs6cObO/C6t0BAgQIEsMtU4AAAo+SURBVDAqgTXXXDNNmTJlVOtaiQABAiEw4cmnEgoCBAgQIECAAAECBAgQIECAAAECBAj0o4Au8P1Yq8pEgAABAgQIECBAgAABAgQIECBAgEAmIADqi0CAAAECBAgQIECAAAECBAgQIECAQN8KCID2bdUqGAECBAgQIECAAAECBAgQIECAAAECAqC+AwQIECBAgAABAgQIECBAgAABAgQI9K2AAGjfVq2CESBAgAABAgQIECBAgAABAgQIECAwCQEBAgSqIHDvvfem008/Pd16661p3rx5aebMmWn11VdP22yzTZoxY0YVsigPBAgQINBDgSeffDIdfPDB6fbbb0+HHnpoWmGFFXqYG4cmQIAAgV4JXHHFFek3v/lNuummm9KECRPSGmuskd7//venVVddtVdZclwCBGogMOGpi8kna5BPWSRAoI8FLr300nTYYYelhQsXpokTJ6bnPve5KQKiixcvTksvvXTab7/90qabbtrHAopGgAABAiMJnHbaaem4447LVvv+97+fVllllZE2sZwAAQIE+kjgscceS8ccc0w6++yzs1Itu+yy6dFHH02LFi3K7iE+/elPp80226yPSqwoBAiUKaALfJma9kWAwJgF/vGPfzSCnzvvvHO66KKL0llnnZW97rDDDllQ9PDDD89a/Ix55zYgQIAAgb4QuOWWW9Lxxx/fF2VRCAIECBAoJnDyySdnwc/oHXbsscem8847L7tnmDNnTtZw4ogjjsh6khXbu60IEOh3AQHQfq9h5SNQcYEf/ehHWZAzntbOnj07TZ48OctxvO6yyy5p4403zp7sxnoSAQIECAyeQLTsia7vkyZNSksttdTgASgxAQIECKSHH344C34uscQS6XOf+1x6xStekeJ99B7bcccd0wtf+MLsnuGyyy6jRYAAgZYCAqAtWXxIgMB4CVxzzTXZoTbccMOWh1x33XWzz6P1j0SAAAECgyfw9a9/Pc2dOzftscceaZlllvl/7d3bi01fHADw7yRSSm4xuZQ0mQfMEw+ieZEHREh58A94keJl3B6QUvJAKbcXlObBg5JIKXkdcssDuZYoTXLJhEbz+63Vb34Zc44dM87MPvPZdTpz1tr77LU+6zQz+3v2Wt+RB6DHBAgQIBAXL17MQdANGzZES0tLP5Ft27bF9u3bY968ef3qFBAgQCAJSILkc0CAwJAKHD16NK/3OWHChIrtePfuXS6vVl/xIIUECBAgUBcCHR0dceHChVi8eHGsWbMmTp06VRf90gkCBAgQ+D2BW7du5QOWLl1a8cD58+dHetgIECBQTUAAtJqMcgIEaiKQprpPnz694rm6u7vjypUruc63uRWJFBIgQKBuBT58+JCzvackF21tbXXbTx0jQIAAgWKBzs7OvFNTU1O8fPkyXyPcu3cvUmKk5ubm2LhxoyzwxYz2IDCiBQRAR/Tw6zyB4S2QEl68evUqZsyYEatWrRrejdU6AgQIEBhUgUOHDuUZAgcOHIhJkyYN6nt7MwIECBAol8Dbt2/zmp9pSZT0pdinT59i9OjROQD66NGjuHbtWi5ftmxZuTqmtQQI1EzAGqA1o3YiAgR+R6C9vT3SIy1uvnPnzhg7duzvHG5fAgQIECixwOXLlyMlslixYkW0traWuCeaToAAAQIDFejq6or0aGhoiLTW59y5c+PcuXNx/fr1nBhp5cqVOQHSwYMHZYEfKLbjCdSxgABoHQ+urhEoq8DJkyfj2LFjOfi5e/fuigudl7Vv2k2AAAECvxZ4/fp1HDlyJBobG2Pr1q2/3lktAQIECNS9QJrmnrbv37/HtGnTIs0QmD17dg6ITpkyJXbs2BELFy7MQdAzZ87UvYcOEiDwZwICoH/m5igCBP6CQPrnZv/+/fkb3TFjxsS+ffti+fLlf+FM3pIAAQIEhqNAurhNv/u/fPkSu3btinHjxg3HZmoTAQIECNRQIK0Fna4N0rZ27do89f3n069fvz4XPX78+OcqrwkQIJAFrAHqg0CAwLAQSOv4pIvdO3fuxPjx4yNNYVmwYMGwaJtGECBAgEBtBJ48eRIPHz7MMwD27NnT76Tv37/PZZs3b877pGdrRPdjUkCAAIG6E0h3eqYZAtWSp6acAWl78+ZN3fVdhwgQGBwBd4AOjqN3IUBgAAIfP36MLVu25ODnzJkz4/jx44KfA/B0KAECBMosMGrUqDytMX0x9vOjt1+fP3/Odb3TInvLPRMgQIBAfQpMnTo1d+zFixcVO9j7BdmcOXMq1iskQICAO0B9BggQGFKBnp6enLHx6dOn0dzcHIcPH440zcVGgAABAiNPIP0duHHjRtWOr169OtJFbkp+MWvWrKr7qSBAgACB+hJI2d3v3r0bHR0dsWnTpn6dS7PI0mYGWT8aBQQI/CfgDlAfBQIEhlTg0qVL8eDBg0jTWtKC5oKfQzocTk6AAAECBAgQIEBg2AmkTO+TJ0+O27dvx9mzZ/u0L91I0d7eHmkGwZIlS/rUeUGAAIFegYZ/777q6X3hmQABArUU+Pr1a6xbty5PY0znTf+0VNuampri9OnT1aqVEyBAgMAIEOi9A/T8+fPuAB0B462LBAgQ+FHg5s2bsXfv3vj27Vu0tLTEokWLorOzM65evRrpuqKtrc260D+C+ZkAgT4CpsD34fCCAIFaCjx//vz/4Gc6b8r+W23r7u6uVqWcAAECBAgQIECAAIE6F2htbY0TJ07kZKlpBtn9+/dzj9ONEik7vKR4df4B0D0CAxRwB+gAAR1OgAABAgQIECBAgAABAgQI1E6gq6srnj17Fin7+8SJE2t3YmciQKC0AgKgpR06DSdAgAABAgQIECBAgAABAgQIECBAoEhAEqQiIfUECBAgQIAAAQIECBAgQIAAAQIECJRWQAC0tEOn4QQIECBAgAABAgQIECBAgAABAgQIFAkIgBYJqSdAgAABAgQIECBAgAABAgQIECBAoLQCAqClHToNJ0CAAAECBAgQIECAAAECBAgQIECgSEAAtEhIPQECBAgQIECAAAECBAgQIECAAAECpRUQAC3t0Gk4AQIECBAgQIAAAQIECBAgQIAAAQJFAgKgRULqCRAgQIAAAQIECBAgQIAAAQIECBAorYAAaGmHTsMJECBAgAABAgQIECBAgAABAgQIECgSEAAtElJPgAABAgQIECBAgAABAgQIECBAgEBpBQRASzt0Gk6AAAECBAgQIECAAAECBAgQIECAQJGAAGiRkHoCBAgQIECAAAECBAgQIECAAAECBEorIABa2qHTcAIECBAgQIAAAQIECBAgQIAAAQIEigQEQIuE1BMgQIAAAQIECBAgQIAAAQIECBAgUFoBAdDSDp2GEyBAgAABAgQIECBAgAABAgQIECBQJCAAWiSkngABAgQIECBAgAABAgQIECBAgACB0goIgJZ26DScAAECBAgQIECAAAECBAgQIECAAIEiAQHQIiH1BAgQIECAAAECBAgQIECAAAECBAiUVuAfGjSMiL1euxEAAAAASUVORK5CYII=)
coord_equal
## function (ratio = 1, xlim = NULL, ylim = NULL, expand = TRUE,
## clip = "on")
## {
## check_coord_limits(xlim)
## check_coord_limits(ylim)
## ggproto(NULL, CoordFixed, limits = list(x = xlim, y = ylim),
## ratio = ratio, expand = expand, clip = clip)
## }
## <bytecode: 0x7f97c31ef8a8>
## <environment: namespace:ggplot2>
waldo::compare(CoordTrans, CoordFixed)
## `class(old)`: "CoordTrans" "Coord" "ggproto" "gg"
## `class(new)`: "CoordFixed" "CoordCartesian" "Coord" "ggproto" "gg"
##
## `old` is length 10
## `new` is length 3
##
## names(old) | names(new)
## [1] "backtransform_range" - "aspect" [1]
## [2] "distance" - "is_free" [2]
## [3] "is_free" - "super" [3]
## [4] "range" -
## [5] "render_axis_h" -
## [6] "render_axis_v" -
## [7] "render_bg" -
## [8] "setup_panel_params" -
## [9] "super" -
## [10] "transform" -
##
## `old$backtransform_range` is a function
## `new$backtransform_range` is absent
##
## `old$distance` is a function
## `new$distance` is absent
##
## `body(old$is_free)`: `{` ` TRUE` `}`
## `body(new$is_free)`: `{` ` FALSE` `}`
##
## `old$range` is a function
## `new$range` is absent
##
## `old$render_axis_h` is a function
## `new$render_axis_h` is absent
##
## `old$render_axis_v` is a function
## `new$render_axis_v` is absent
##
## `old$render_bg` is a function
## `new$render_bg` is absent
##
## And 54 more differences ...
#
# CoordPoster <- ggproto(`_class` = "CoordPoster",
# `_inherit` = CoordFixed)
#
# CoordPoster$range <- function (panel_params)
# {
# list(x = panel_params$x$dimension(), y = rev(panel_params$y$dimension()))
# }
#
#
#
# CoordPoster$setup_panel_params <- function (self, scale_x, scale_y, params = list()) {
# c(ggplot2:::view_scales_from_scale(scale_x, self$limits$x, self$expand),
# ggplot2:::view_scales_from_scale(scale_y, self$limits$y, self$expand))
# }
#
# CoordPoster$setup_panel_params <- function (self, scale_x, scale_y, params = list()) {
# c(ggplot2:::view_scales_from_scale(scale_x, self$limits$x, self$expand),
# ggplot2:::view_scales_from_scale(scale_y, self$limits$y, self$expand))
# }
#
# CoordPoster$transform <- function (data, panel_params)
# {
# data <- transform_position(data, panel_params$x$rescale,
# panel_params$y$rescale)
#
# transform_position(data, squish_infinite, squish_infinite)
# }
#
# CoordRadial
#
# coord_poster <- function (ratio = 1, xlim = NULL, ylim = NULL, expand = TRUE,
# clip = "on")
# {
# ggplot2:::check_coord_limits(xlim)
# ggplot2:::check_coord_limits(ylim)
# ggproto(NULL, CoordPoster, limits = list(x = xlim, y = ylim),
# ratio = ratio, expand = expand, clip = clip)
# }
#
# coord_fixed(ratio = -1)
#
#
#
# CoordPoster$range
births <- "https://raw.githubusercontent.com/EvaMaeRey/tableau/9e91c2b5ee803bfef10d35646cf4ce6675b92b55/tidytuesday_data/2018-10-02-us_births_2000-2014.csv"
readr::read_csv(births) %>%
mutate(month = str_pad(month, 2, pad = "0"),
date_of_month = str_pad(date_of_month, 2, pad = "0")) %>%
mutate(date = paste(year, month, date_of_month, sep = "-") %>% as_date()) %>%
filter(year == 2012)
## Rows: 5479 Columns: 5
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl (5): year, month, date_of_month, day_of_week, births
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## # A tibble: 366 × 6
## year month date_of_month day_of_week births date
## <dbl> <chr> <chr> <dbl> <dbl> <date>
## 1 2012 01 01 7 6629 2012-01-01
## 2 2012 01 02 1 7821 2012-01-02
## 3 2012 01 03 2 11324 2012-01-03
## 4 2012 01 04 3 12075 2012-01-04
## 5 2012 01 05 4 12171 2012-01-05
## 6 2012 01 06 5 11920 2012-01-06
## 7 2012 01 07 6 7783 2012-01-07
## 8 2012 01 08 7 6887 2012-01-08
## 9 2012 01 09 1 11248 2012-01-09
## 10 2012 01 10 2 11939 2012-01-10
## # ℹ 356 more rows
readr::read_csv(births) |>
count(year)
## Rows: 5479 Columns: 5
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl (5): year, month, date_of_month, day_of_week, births
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## # A tibble: 15 × 2
## year n
## <dbl> <int>
## 1 2000 366
## 2 2001 365
## 3 2002 365
## 4 2003 365
## 5 2004 366
## 6 2005 365
## 7 2006 365
## 8 2007 365
## 9 2008 366
## 10 2009 365
## 11 2010 365
## 12 2011 365
## 13 2012 366
## 14 2013 365
## 15 2014 365