- Qué es R y Por qué usarlo?
- R como calculadora
- Algunas funciones utiles
- Creación de vectores
- Estadística de resumén y visualización de datos
- Inferencia estadistica
- Como presentar un informe en R Markdown
- Creación de presentaciones en R
3/3/2017
Contenido
Qué es R y Por qué usarlo?
R es un open source que en si tiene dos tipos de caracteristicas
- Es un lenguaje de programación
- Es el lenguaje de programación estadistica más usado en el mundo
A la par de esto es completamente integral, ya que posee en su interfaz un editor de texto, generador de presentaciones (ioslides y R presentation), aplicación como hojas de calculo y a demás interconector con la web.
R y Python
"R no solo es usado para programación estadistica, sino para todas las asignaturas del mercado" , Diez C (2016)
R es un ambiente de programación totalmente gratuito < https://www.r-project.org> , el cual permite almacenar datos de manera coherente y efectiva , después de tener claridad sobre el deseo de uso de los datos.
- Es un lenguaje completo, que incluye loops, variables , condiciones y funciones
Posee un gran número de librerias para poder trabajar sobre distintos proyectos de manera deseada ( finanzas, optimización, mercadeo, muestreo, matemáticas , etc.)
R al ser un software libre es constantemente desarrollado por el mundo de los matemathical developers y los data scientist
R esta disponible para todo tipo de usuarios ( Windows, Mac, Linux)
R funciona a través de lineas de comandos , pero para trabajar en un entorno más detallado se usara R Studio < https://www.rstudio.com>
Para instalarlo se sugieren los siguientes pasos
Para esta clase se necesita descargar los paquetes Knti, mactex, ggplot2 y markdown, estos paquetes nos permitiran hacer edición de textos, visualicación de datos y a la par modificaciones en los data frame que se usen.
R como calculadora
1+9
## [1] 10
2-11
## [1] -9
2*3
## [1] 6
9/5
## [1] 1.8
3^(-1)
## [1] 0.3333333
Como se puede observar, los parametros para diseñar operaciones matemáticas son los mismos que en otros softwares y procedimientos conocidos, en r podemos expander las operaciones tanto como se quieran y tambien aproximar.
8>5
## [1] TRUE
3>2
## [1] TRUE
2== 2.1
## [1] FALSE
4==4 & 2<2
## [1] FALSE
Como se puede apreciar, en las operaciones logicas , R funciona con natural libertad sobre todas las interpretaciones que estás dan.
log(2)
## [1] 0.6931472
log(2, base = 10)
## [1] 0.30103
log(40, base = 3)
## [1] 3.357763
Los logaritmos tambien se pueden desarrollar de manera practica en este software
exp(1)
## [1] 2.718282
exp(-3)
## [1] 0.04978707
exp(1)^11
## [1] 59874.14
Algunas funciones utiles
rep(3,5)
## [1] 3 3 3 3 3
rep("Joker", 9)
## [1] "Joker" "Joker" "Joker" "Joker" "Joker" "Joker" "Joker" "Joker" "Joker"
c(rep("Metodologia", 3), rep("Investigacion", 3))
## [1] "Metodologia" "Metodologia" "Metodologia" "Investigacion" ## [5] "Investigacion" "Investigacion"
Creación de vectores
Para crear vectores se usan los asignadores <- y =, después de imputar los valores asignados
a<-(1:10) Notasprimercorte<-rnorm(26,3.0,1.0) Notasprimercorte[0]
## numeric(0)
x<-c(3,5,7) y<-(2:100) x
## [1] 3 5 7
y
## [1] 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 ## [18] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 ## [35] 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 ## [52] 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 ## [69] 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 ## [86] 87 88 89 90 91 92 93 94 95 96 97 98 99 100
seq(0,10,by = 2)
## [1] 0 2 4 6 8 10
Este comando es muy util para definir variables de interés en sus trabajos
seq(0,1,length.out = 13)
## [1] 0.00000000 0.08333333 0.16666667 0.25000000 0.33333333 0.41666667 ## [7] 0.50000000 0.58333333 0.66666667 0.75000000 0.83333333 0.91666667 ## [13] 1.00000000
c=c(-1,6,3,9,0) sort(c)
## [1] -1 0 3 6 9
order(c)
## [1] 1 5 3 2 4
Sort :(or order) a vector or factor (partially) into ascending or descending order. For ordering along more than one variable, e.g., for sorting data frames, see order.
Order: returns a permutation which rearranges its first argument into ascending or descending order, breaking ties by further arguments. sort.list is the same, using only one argument. See the examples for how to use these functions to sort data frames, etc.
Para extraer componentes se hace lo siguiente
a<-c(-11:11) length(a) # Para conocer el número de componentes del vector
## [1] 23
a
## [1] -11 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 ## [18] 6 7 8 9 10 11
a[3]
## [1] -9
Por consiguiente se usa , para extraer componentes, esto es igual que en C++
a[5]
## [1] -7
a[9]
## [1] -3
Para extraer varios valores de los vectores de una sola vez, se implementa de la siguiente manera
a[c(1,3,5,7,12)]
## [1] -11 -9 -7 -5 0
Para extraer objetos desde la interpretacion lógica se hace lo siguiente
a
## [1] -11 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 ## [18] 6 7 8 9 10 11
a>0
## [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [12] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE ## [23] TRUE
a[a>0]
## [1] 1 2 3 4 5 6 7 8 9 10 11
Esto es una forma de condicionar a los vectores
- Para instalar paquetes en R de manera sofisticada ( así como ustedes Millennials), se realiza de la siguiente forma :
- Descargar el paquete : install.packages(" Nombre del paquete")
- Uso del paquete : library(Nombre del paquete)
- Ayuda sobre el paquete : help("Nombre del paquete")
Ojo: R si diferencia el uso de mayusculas y el de minusculas y esto puede cambiar toda la operación.
Estadística de resumén y visualización de datos
Para este ejemplo se usara un paquete y una libreria creados por Andrés Gutierrez PhD en Estadistica, Director del Icfes, a la par que se describiran algunos comandos y usos tipicos.
library(TeachingSampling) data(BigLucy)# Con este extraermos la libreria especifica que se va a trabajar names(BigLucy) # Con names se visualizan as variables del data.frame
## [1] "ID" "Ubication" "Level" "Zone" "Income" ## [6] "Employees" "Taxes" "SPAM" "ISO" "Years" ## [11] "Segments"
Para extraer una variable en especifico se emplea el nombre del dataframe se le asigna el signo $ y se escribe el vector deseado
BigLucy$Taxes
## [1] 3.0 4.0 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 ## [12] 7.0 7.0 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 ## [23] 9.0 7.0 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 ## [34] 5.0 6.0 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 ## [45] 6.0 5.0 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 ## [56] 5.0 10.5 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 ## [67] 4.0 5.0 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 ## [78] 1.0 4.0 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 ## [89] 10.5 9.0 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 ## [100] 10.5 8.0 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 ## [111] 10.0 0.5 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 ## [122] 3.0 4.0 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 ## [133] 3.0 5.0 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 ## [144] 3.0 2.0 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 ## [155] 2.0 4.0 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 ## [166] 4.0 5.0 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 ## [177] 4.0 4.0 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 ## [188] 4.0 2.0 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 ## [199] 3.0 4.0 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 ## [210] 4.0 1.0 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 ## [221] 3.0 2.0 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 ## [232] 2.0 1.0 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 ## [243] 4.0 4.0 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 ## [254] 3.0 3.0 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 ## [265] 4.0 5.0 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 ## [276] 6.0 4.0 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 ## [287] 2.0 3.0 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 ## [298] 2.0 2.0 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 ## [309] 2.0 3.0 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 ## [320] 2.0 1.0 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 ## [331] 1.0 4.0 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 ## [342] 3.0 5.0 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 ## [353] 1.0 4.0 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 ## [364] 2.0 3.0 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 ## [375] 3.0 6.0 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 ## [386] 3.0 2.0 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 ## [397] 4.0 3.0 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 ## [408] 5.0 3.0 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 ## [419] 4.0 2.0 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 ## [430] 2.0 4.0 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 ## [441] 2.0 5.0 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 ## [452] 3.0 5.0 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 ## [463] 2.0 2.0 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 ## [474] 6.0 2.0 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 ## [485] 2.0 3.0 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 ## [496] 3.0 2.0 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 ## [507] 3.0 4.0 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 ## [518] 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 ## [529] 2.0 2.0 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 ## [540] 1.0 0.5 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [551] 1.0 1.0 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 ## [562] 2.0 0.5 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 ## [573] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 ## [584] 0.5 1.0 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 ## [595] 1.0 0.5 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 ## [606] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 ## [617] 1.0 2.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 ## [628] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [639] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 ## [650] 1.0 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 ## [661] 0.5 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [672] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 ## [683] 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [694] 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 ## [705] 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 ## [716] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 ## [727] 6.0 10.5 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 ## [738] 10.5 7.0 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 ## [749] 10.5 8.0 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 ## [760] 8.0 10.0 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 ## [771] 7.0 7.0 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 ## [782] 4.0 3.0 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 ## [793] 4.0 7.0 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 ## [804] 10.5 1.0 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 ## [815] 6.0 0.5 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 ## [826] 10.0 0.5 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 ## [837] 0.5 6.0 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 ## [848] 1.0 8.0 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 ## [859] 9.0 7.0 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 ## [870] 9.0 6.0 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 ## [881] 9.0 10.0 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 ## [892] 8.0 8.0 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 ## [903] 8.0 9.0 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 ## [914] 7.0 8.0 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 ## [925] 8.0 0.5 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 ## [936] 7.0 7.0 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 ## [947] 5.0 6.0 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 ## [958] 9.0 6.0 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 ## [969] 10.0 9.0 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 ## [980] 10.0 7.0 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 ## [991] 10.0 1.0 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 ## [1002] 2.0 0.5 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 ## [1013] 6.0 6.0 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 ## [1024] 9.0 5.0 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 ## [1035] 5.0 7.0 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 ## [1046] 6.0 5.0 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 ## [1057] 5.0 6.0 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 ## [1068] 3.0 7.0 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 ## [1079] 5.0 10.0 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 ## [1090] 10.0 7.0 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 ## [1101] 6.0 6.0 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 ## [1112] 7.0 8.0 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 ## [1123] 4.0 4.0 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 ## [1134] 4.0 7.0 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 ## [1145] 7.0 9.0 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 ## [1156] 2.0 8.0 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 ## [1167] 6.0 5.0 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 ## [1178] 8.0 8.0 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 ## [1189] 6.0 10.0 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 ## [1200] 10.5 6.0 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 ## [1211] 8.0 1.0 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 ## [1222] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [1233] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [1244] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [1255] 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [1266] 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [1277] 1.0 0.5 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 ## [1288] 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 ## [1299] 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 ## [1310] 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [1321] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [1332] 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 ## [1343] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 ## [1354] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [1365] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [1376] 1.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 ## [1387] 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 ## [1398] 2.0 1.0 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 ## [1409] 3.0 2.0 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 ## [1420] 3.0 4.0 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 ## [1431] 1.0 2.0 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 ## [1442] 2.0 2.0 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 ## [1453] 2.0 2.0 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 ## [1464] 2.0 5.0 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 ## [1475] 2.0 2.0 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 ## [1486] 4.0 6.0 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 ## [1497] 2.0 3.0 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 ## [1508] 2.0 4.0 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 ## [1519] 3.0 2.0 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 ## [1530] 1.0 2.0 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 ## [1541] 2.0 1.0 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 ## [1552] 10.0 10.5 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 ## [1563] 10.5 8.0 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 ## [1574] 10.0 10.5 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 ## [1585] 23.0 30.0 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 ## [1596] 17.0 18.0 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 ## [1607] 14.0 27.0 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 ## [1618] 13.0 27.0 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 ## [1629] 19.0 23.0 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 ## [1640] 19.0 24.0 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 ## [1651] 43.0 15.0 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 ## [1662] 20.0 23.0 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 ## [1673] 29.0 25.0 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 ## [1684] 16.0 23.0 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 ## [1695] 38.0 20.0 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 ## [1706] 19.0 25.0 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 ## [1717] 21.0 29.0 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 ## [1728] 25.0 29.0 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 ## [1739] 46.0 26.0 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 ## [1750] 32.0 35.0 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 ## [1761] 14.0 16.0 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 ## [1772] 23.0 41.0 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 ## [1783] 20.0 15.0 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 ## [1794] 22.0 12.0 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 ## [1805] 13.0 20.0 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 ## [1816] 16.0 23.0 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 ## [1827] 14.0 34.0 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 ## [1838] 21.0 43.0 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 ## [1849] 40.0 19.0 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 ## [1860] 24.0 46.0 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 ## [1871] 17.0 27.0 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 ## [1882] 12.0 14.0 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 ## [1893] 12.0 13.0 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 ## [1904] 12.0 14.0 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 ## [1915] 12.0 12.0 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 ## [1926] 12.0 12.0 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 ## [1937] 15.0 13.0 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 ## [1948] 12.0 17.0 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 ## [1959] 19.0 18.0 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 ## [1970] 21.0 16.0 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 ## [1981] 35.0 18.0 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 ## [1992] 41.0 13.0 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 ## [2003] 35.0 21.0 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 ## [2014] 13.0 21.0 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 ## [2025] 13.0 21.0 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 ## [2036] 32.0 14.0 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 ## [2047] 22.0 22.0 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 ## [2058] 21.0 17.0 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 ## [2069] 13.0 13.0 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 ## [2080] 17.0 24.0 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 ## [2091] 21.0 15.0 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 ## [2102] 13.0 15.0 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 ## [2113] 33.0 36.0 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 ## [2124] 16.0 18.0 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 ## [2135] 32.0 31.0 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 ## [2146] 20.0 25.0 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 ## [2157] 14.0 16.0 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 ## [2168] 31.0 28.0 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 ## [2179] 23.0 27.0 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 ## [2190] 37.0 15.0 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 ## [2201] 38.0 15.0 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 ## [2212] 36.0 32.0 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 ## [2223] 29.0 36.0 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 ## [2234] 20.0 36.0 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 ## [2245] 43.0 14.0 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 ## [2256] 43.0 42.0 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 ## [2267] 18.0 18.0 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 ## [2278] 46.0 43.0 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 ## [2289] 40.0 32.0 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 ## [2300] 30.0 36.0 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 ## [2311] 16.0 22.0 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 ## [2322] 61.0 58.0 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 ## [2333] 50.0 59.0 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 ## [2344] 62.0 49.0 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 ## [2355] 63.0 51.0 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 ## [2366] 63.0 55.0 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 ## [2377] 50.0 52.0 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 ## [2388] 54.0 51.0 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 ## [2399] 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 ## [2410] 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 ## [2421] 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 ## [2432] 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 ## [2443] 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 ## [2454] 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 ## [2465] 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 ## [2476] 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 ## [2487] 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 ## [2498] 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 ## [2509] 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 ## [2520] 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 ## [2531] 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 ## [2542] 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 ## [2553] 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 ## [2564] 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 ## [2575] 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 ## [2586] 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 ## [2597] 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 ## [2608] 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 ## [2619] 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 ## [2630] 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 ## [2641] 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 ## [2652] 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 ## [2663] 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 ## [2674] 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 ## [2685] 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 ## [2696] 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 ## [2707] 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 ## [2718] 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 ## [2729] 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 ## [2740] 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 ## [2751] 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 ## [2762] 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 ## [2773] 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 ## [2784] 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 ## [2795] 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 ## [2806] 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 ## [2817] 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 ## [2828] 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 ## [2839] 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 ## [2850] 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 ## [2861] 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 ## [2872] 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 ## [2883] 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 ## [2894] 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 ## [2905] 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 ## [2916] 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 ## [2927] 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 ## [2938] 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [2949] 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 ## [2960] 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 ## [2971] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [2982] 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 ## [2993] 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 ## [3004] 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 ## [3015] 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [3026] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [3037] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 ## [3048] 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [3059] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [3070] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 ## [3081] 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 ## [3092] 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [3103] 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 ## [3114] 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 ## [3125] 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 ## [3136] 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 ## [3147] 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 ## [3158] 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 ## [3169] 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 ## [3180] 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 ## [3191] 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 ## [3202] 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 ## [3213] 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 ## [3224] 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 ## [3235] 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 ## [3246] 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 ## [3257] 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 ## [3268] 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 ## [3279] 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 ## [3290] 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 ## [3301] 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 ## [3312] 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 ## [3323] 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 ## [3334] 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 ## [3345] 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 ## [3356] 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 ## [3367] 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 ## [3378] 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 ## [3389] 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 ## [3400] 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 ## [3411] 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 ## [3422] 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 ## [3433] 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 ## [3444] 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 ## [3455] 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 ## [3466] 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 ## [3477] 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 ## [3488] 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 ## [3499] 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 ## [3510] 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 ## [3521] 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 ## [3532] 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 ## [3543] 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 ## [3554] 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 ## [3565] 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 ## [3576] 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 ## [3587] 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 ## [3598] 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 ## [3609] 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 ## [3620] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 ## [3631] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [3642] 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [3653] 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [3664] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [3675] 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [3686] 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [3697] 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [3708] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [3719] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [3730] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 ## [3741] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [3752] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [3763] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [3774] 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 ## [3785] 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 ## [3796] 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 ## [3807] 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 ## [3818] 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 ## [3829] 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 2.0 2.0 ## [3840] 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 2.0 2.0 ## [3851] 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 2.0 5.0 ## [3862] 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 2.0 2.0 ## [3873] 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 4.0 6.0 ## [3884] 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 2.0 3.0 ## [3895] 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 4.0 ## [3906] 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 3.0 2.0 ## [3917] 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 1.0 2.0 ## [3928] 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 2.0 1.0 ## [3939] 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 10.0 10.5 ## [3950] 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 10.5 8.0 ## [3961] 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 10.0 10.5 ## [3972] 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 23.0 30.0 ## [3983] 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 17.0 18.0 ## [3994] 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 14.0 27.0 ## [4005] 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 13.0 27.0 ## [4016] 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 19.0 23.0 ## [4027] 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 19.0 24.0 ## [4038] 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 43.0 15.0 ## [4049] 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 20.0 23.0 ## [4060] 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 29.0 25.0 ## [4071] 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 16.0 23.0 ## [4082] 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 38.0 20.0 ## [4093] 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 19.0 25.0 ## [4104] 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 21.0 29.0 ## [4115] 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 25.0 29.0 ## [4126] 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 46.0 26.0 ## [4137] 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 32.0 35.0 ## [4148] 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 14.0 16.0 ## [4159] 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 23.0 41.0 ## [4170] 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 20.0 15.0 ## [4181] 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 22.0 12.0 ## [4192] 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 13.0 20.0 ## [4203] 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 16.0 23.0 ## [4214] 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 14.0 34.0 ## [4225] 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 21.0 43.0 ## [4236] 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 40.0 19.0 ## [4247] 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 24.0 46.0 ## [4258] 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 17.0 27.0 ## [4269] 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 12.0 14.0 ## [4280] 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 12.0 13.0 ## [4291] 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 12.0 14.0 ## [4302] 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 12.0 12.0 ## [4313] 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 12.0 12.0 ## [4324] 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 15.0 13.0 ## [4335] 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 12.0 17.0 ## [4346] 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 19.0 18.0 ## [4357] 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 21.0 16.0 ## [4368] 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 35.0 18.0 ## [4379] 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 41.0 13.0 ## [4390] 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 35.0 21.0 ## [4401] 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 13.0 21.0 ## [4412] 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 13.0 21.0 ## [4423] 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 32.0 14.0 ## [4434] 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 22.0 22.0 ## [4445] 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 21.0 17.0 ## [4456] 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 13.0 13.0 ## [4467] 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 17.0 24.0 ## [4478] 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 21.0 15.0 ## [4489] 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 13.0 15.0 ## [4500] 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 33.0 36.0 ## [4511] 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 16.0 18.0 ## [4522] 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 32.0 31.0 ## [4533] 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 20.0 25.0 ## [4544] 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 14.0 16.0 ## [4555] 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 31.0 28.0 ## [4566] 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 23.0 27.0 ## [4577] 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 37.0 15.0 ## [4588] 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 38.0 15.0 ## [4599] 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 36.0 32.0 ## [4610] 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 29.0 36.0 ## [4621] 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 20.0 36.0 ## [4632] 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 43.0 14.0 ## [4643] 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 43.0 42.0 ## [4654] 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 18.0 18.0 ## [4665] 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 46.0 43.0 ## [4676] 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 40.0 32.0 ## [4687] 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 30.0 36.0 ## [4698] 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 16.0 22.0 ## [4709] 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 61.0 58.0 ## [4720] 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 50.0 59.0 ## [4731] 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 62.0 49.0 ## [4742] 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 63.0 51.0 ## [4753] 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 63.0 55.0 ## [4764] 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 50.0 52.0 ## [4775] 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 54.0 51.0 ## [4786] 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 7.0 5.0 ## [4797] 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 4.0 7.0 ## [4808] 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 6.0 6.0 ## [4819] 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 5.0 6.0 ## [4830] 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 5.0 8.0 ## [4841] 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 6.0 10.0 ## [4852] 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 7.0 4.0 ## [4863] 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 7.0 4.0 ## [4874] 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 3.0 9.0 ## [4885] 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 0.5 9.0 ## [4896] 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 0.5 0.5 ## [4907] 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 2.0 3.0 ## [4918] 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 4.0 4.0 ## [4929] 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 4.0 3.0 ## [4940] 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 2.0 2.0 ## [4951] 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 4.0 3.0 ## [4962] 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 4.0 5.0 ## [4973] 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 3.0 5.0 ## [4984] 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 5.0 3.0 ## [4995] 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 3.0 2.0 ## [5006] 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 2.0 3.0 ## [5017] 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 2.0 2.0 ## [5028] 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 7.0 4.0 ## [5039] 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 5.0 3.0 ## [5050] 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 4.0 2.0 ## [5061] 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 2.0 1.0 ## [5072] 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 5.0 3.0 ## [5083] 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 2.0 2.0 ## [5094] 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 4.0 5.0 ## [5105] 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 2.0 2.0 ## [5116] 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 3.0 4.0 ## [5127] 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 2.0 1.0 ## [5138] 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 2.0 2.0 ## [5149] 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 2.0 3.0 ## [5160] 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 3.0 1.0 ## [5171] 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 2.0 3.0 ## [5182] 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 2.0 3.0 ## [5193] 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 3.0 5.0 ## [5204] 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 4.0 4.0 ## [5215] 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 3.0 2.0 ## [5226] 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 3.0 4.0 ## [5237] 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 4.0 5.0 ## [5248] 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 2.0 1.0 ## [5259] 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 3.0 4.0 ## [5270] 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 3.0 3.0 ## [5281] 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 3.0 5.0 ## [5292] 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 5.0 2.0 ## [5303] 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 1.0 1.0 ## [5314] 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 1.0 1.0 ## [5325] 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 0.5 2.0 ## [5336] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [5347] 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 0.5 0.5 ## [5358] 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 ## [5369] 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [5380] 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 1.0 2.0 ## [5391] 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 ## [5402] 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 1.0 0.5 ## [5413] 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [5424] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [5435] 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 ## [5446] 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 ## [5457] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [5468] 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [5479] 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 ## [5490] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 2.0 ## [5501] 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.5 ## [5512] 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 9.0 6.0 ## [5523] 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 8.0 5.0 ## [5534] 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 9.0 9.0 ## [5545] 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 6.0 8.0 ## [5556] 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 7.0 6.0 ## [5567] 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 7.0 7.0 ## [5578] 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 1.0 9.0 ## [5589] 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 4.0 8.0 ## [5600] 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 5.0 5.0 ## [5611] 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 5.0 8.0 ## [5622] 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 7.0 8.0 ## [5633] 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 10.5 8.0 ## [5644] 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 8.0 5.0 ## [5655] 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 7.0 0.5 ## [5666] 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 0.5 8.0 ## [5677] 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 4.0 7.0 ## [5688] 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 5.0 5.0 ## [5699] 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 6.0 9.0 ## [5710] 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 10.0 7.0 ## [5721] 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 8.0 4.0 ## [5732] 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 9.0 7.0 ## [5743] 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 8.0 6.0 ## [5754] 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 4.0 0.5 ## [5765] 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 1.0 7.0 ## [5776] 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 7.0 7.0 ## [5787] 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 7.0 5.0 ## [5798] 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 10.0 5.0 ## [5809] 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 6.0 10.5 ## [5820] 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 7.0 0.5 ## [5831] 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 0.5 7.0 ## [5842] 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 6.0 6.0 ## [5853] 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 10.5 10.5 ## [5864] 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 7.0 5.0 ## [5875] 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 6.0 9.0 ## [5886] 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 8.0 1.0 ## [5897] 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 1.0 9.0 ## [5908] 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 1.0 9.0 ## [5919] 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 8.0 8.0 ## [5930] 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 7.0 10.0 ## [5941] 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 6.0 6.0 ## [5952] 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 4.0 10.0 ## [5963] 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 5.0 5.0 ## [5974] 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 6.0 8.0 ## [5985] 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 1.0 8.0 ## [5996] 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 7.0 6.0 ## [6007] 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [6018] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.5 0.5 ## [6029] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [6040] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [6051] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [6062] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 0.5 ## [6073] 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [6084] 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [6095] 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [6106] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [6117] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 ## [6128] 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [6139] 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [6150] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [6161] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 ## [6172] 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 1.0 1.0 ## [6183] 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 2.0 2.0 ## [6194] 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 2.0 2.0 ## [6205] 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 2.0 2.0 ## [6216] 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 1.0 3.0 ## [6227] 3.0 2.0 2.0 6.0 1.0 3.0 4.0 2.0 2.0 2.0 2.0 ## [6238] 4.0 3.0 2.0 3.0 2.0 2.0 2.0 2.0 2.0 4.0 2.0 ## [6249] 2.0 3.0 4.0 2.0 2.0 2.0 3.0 2.0 5.0 2.0 1.0 ## [6260] 1.0 2.0 2.0 2.0 3.0 3.0 4.0 2.0 2.0 5.0 6.0 ## [6271] 3.0 3.0 3.0 2.0 4.0 2.0 2.0 4.0 6.0 2.0 1.0 ## [6282] 2.0 2.0 1.0 1.0 3.0 2.0 5.0 2.0 3.0 1.0 3.0 ## [6293] 2.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 4.0 3.0 2.0 ## [6304] 2.0 2.0 3.0 1.0 2.0 2.0 1.0 3.0 2.0 6.0 4.0 ## [6315] 5.0 3.0 1.0 1.0 3.0 2.0 1.0 1.0 2.0 4.0 2.0 ## [6326] 3.0 2.0 2.0 2.0 1.0 2.0 1.0 2.0 1.0 4.0 2.0 ## [6337] 1.0 2.0 4.0 2.0 9.0 10.5 10.5 10.0 10.5 10.0 6.0 ## [6348] 8.0 10.0 9.0 10.5 10.0 10.5 10.0 10.5 8.0 10.5 10.0 ## [6359] 10.5 10.5 10.5 10.0 10.0 10.0 10.0 10.0 10.5 10.5 13.0 ## [6370] 12.0 14.0 14.0 11.0 13.0 14.0 22.0 23.0 30.0 27.0 18.0 ## [6381] 23.0 27.0 29.0 35.0 34.0 29.0 27.0 17.0 18.0 21.0 23.0 ## [6392] 24.0 27.0 35.0 42.0 14.0 15.0 24.0 14.0 27.0 25.0 24.0 ## [6403] 28.0 42.0 30.0 43.0 22.0 26.0 40.0 13.0 27.0 31.0 41.0 ## [6414] 41.0 46.0 12.0 47.0 26.0 38.0 18.0 19.0 23.0 16.0 14.0 ## [6425] 23.0 27.0 13.0 18.0 14.0 21.0 18.0 19.0 24.0 25.0 15.0 ## [6436] 22.0 23.0 27.0 25.0 36.0 33.0 38.0 43.0 15.0 34.0 46.0 ## [6447] 40.0 13.0 15.0 17.0 19.0 22.0 14.0 20.0 23.0 33.0 36.0 ## [6458] 34.0 16.0 16.0 15.0 26.0 27.0 14.0 29.0 25.0 45.0 46.0 ## [6469] 17.0 16.0 12.0 15.0 18.0 16.0 21.0 16.0 23.0 25.0 35.0 ## [6480] 32.0 47.0 12.0 22.0 15.0 13.0 20.0 38.0 20.0 30.0 23.0 ## [6491] 18.0 34.0 26.0 22.0 20.0 19.0 15.0 19.0 25.0 38.0 20.0 ## [6502] 12.0 12.0 12.0 12.0 21.0 22.0 23.0 21.0 29.0 44.0 13.0 ## [6513] 22.0 12.0 15.0 13.0 18.0 21.0 31.0 25.0 29.0 36.0 47.0 ## [6524] 22.0 19.0 29.0 29.0 38.0 36.0 18.0 46.0 26.0 39.0 14.0 ## [6535] 18.0 17.0 30.0 37.0 22.0 16.0 27.0 32.0 35.0 22.0 23.0 ## [6546] 18.0 47.0 19.0 14.0 43.0 14.0 12.0 14.0 16.0 19.0 27.0 ## [6557] 44.0 18.0 15.0 30.0 37.0 31.0 33.0 23.0 41.0 23.0 43.0 ## [6568] 13.0 13.0 16.0 20.0 16.0 11.0 17.0 20.0 15.0 16.0 34.0 ## [6579] 17.0 17.0 25.0 13.0 13.0 30.0 14.0 22.0 12.0 13.0 17.0 ## [6590] 27.0 14.0 38.0 12.0 13.0 27.0 33.0 13.0 20.0 19.0 28.0 ## [6601] 14.0 37.0 41.0 39.0 12.0 18.0 14.0 16.0 23.0 43.0 16.0 ## [6612] 14.0 16.0 12.0 26.0 19.0 19.0 21.0 14.0 34.0 32.0 15.0 ## [6623] 45.0 34.0 22.0 32.0 22.0 39.0 24.0 21.0 43.0 17.0 17.0 ## [6634] 23.0 18.0 15.0 23.0 15.0 19.0 22.0 40.0 19.0 43.0 12.0 ## [6645] 21.0 15.0 29.0 15.0 22.0 19.0 22.0 24.0 46.0 41.0 21.0 ## [6656] 12.0 13.0 27.0 19.0 22.0 18.0 15.0 17.0 27.0 11.0 21.0 ## [6667] 26.0 23.0 45.0 12.0 17.0 12.0 12.0 12.0 14.0 13.0 13.0 ## [6678] 15.0 12.0 15.0 13.0 12.0 13.0 13.0 12.0 13.0 12.0 13.0 ## [6689] 13.0 12.0 12.0 12.0 12.0 13.0 12.0 12.0 14.0 14.0 14.0 ## [6700] 12.0 11.0 13.0 12.0 14.0 12.0 12.0 12.0 12.0 12.0 12.0 ## [6711] 12.0 16.0 13.0 11.0 13.0 13.0 14.0 12.0 12.0 16.0 12.0 ## [6722] 12.0 13.0 12.0 12.0 16.0 13.0 12.0 15.0 13.0 12.0 16.0 ## [6733] 16.0 11.0 14.0 13.0 18.0 13.0 16.0 12.0 17.0 14.0 16.0 ## [6744] 13.0 15.0 12.0 13.0 14.0 14.0 17.0 19.0 18.0 24.0 14.0 ## [6755] 13.0 15.0 22.0 20.0 19.0 19.0 22.0 21.0 16.0 18.0 17.0 ## [6766] 32.0 12.0 15.0 15.0 20.0 19.0 34.0 35.0 18.0 19.0 12.0 ## [6777] 16.0 14.0 14.0 21.0 21.0 27.0 14.0 41.0 13.0 20.0 40.0 ## [6788] 12.0 12.0 16.0 16.0 24.0 20.0 16.0 35.0 21.0 21.0 21.0 ## [6799] 15.0 25.0 24.0 26.0 34.0 15.0 15.0 13.0 21.0 15.0 18.0 ## [6810] 25.0 16.0 21.0 16.0 14.0 13.0 17.0 13.0 21.0 22.0 26.0 ## [6821] 30.0 42.0 17.0 20.0 21.0 23.0 26.0 32.0 14.0 12.0 11.0 ## [6832] 20.0 16.0 17.0 12.0 14.0 15.0 12.0 22.0 22.0 20.0 23.0 ## [6843] 19.0 21.0 24.0 25.0 28.0 30.0 14.0 21.0 17.0 18.0 16.0 ## [6854] 18.0 15.0 24.0 17.0 20.0 12.0 15.0 13.0 13.0 14.0 20.0 ## [6865] 12.0 20.0 20.0 19.0 16.0 19.0 25.0 17.0 24.0 21.0 19.0 ## [6876] 27.0 27.0 33.0 40.0 35.0 41.0 14.0 21.0 15.0 23.0 16.0 ## [6887] 15.0 18.0 34.0 29.0 27.0 32.0 43.0 13.0 15.0 12.0 11.0 ## [6898] 19.0 21.0 21.0 29.0 33.0 32.0 29.0 33.0 36.0 42.0 17.0 ## [6909] 24.0 17.0 24.0 12.0 14.0 14.0 15.0 16.0 18.0 16.0 17.0 ## [6920] 19.0 24.0 28.0 24.0 23.0 30.0 23.0 32.0 31.0 32.0 47.0 ## [6931] 18.0 27.0 21.0 19.0 32.0 33.0 38.0 20.0 25.0 38.0 18.0 ## [6942] 20.0 43.0 46.0 13.0 12.0 14.0 16.0 14.0 16.0 19.0 19.0 ## [6953] 16.0 19.0 32.0 23.0 20.0 24.0 23.0 31.0 28.0 14.0 17.0 ## [6964] 14.0 12.0 26.0 13.0 13.0 17.0 16.0 23.0 27.0 24.0 22.0 ## [6975] 24.0 25.0 22.0 22.0 28.0 30.0 40.0 37.0 15.0 19.0 16.0 ## [6986] 28.0 35.0 32.0 36.0 34.0 33.0 39.0 38.0 15.0 18.0 14.0 ## [6997] 15.0 22.0 26.0 33.0 23.0 17.0 24.0 36.0 32.0 38.0 14.0 ## [7008] 17.0 12.0 14.0 13.0 16.0 18.0 26.0 29.0 36.0 48.0 12.0 ## [7019] 17.0 19.0 26.0 23.0 28.0 29.0 37.0 20.0 36.0 48.0 15.0 ## [7030] 18.0 17.0 27.0 26.0 34.0 15.0 31.0 43.0 14.0 13.0 31.0 ## [7041] 18.0 15.0 18.0 20.0 22.0 35.0 29.0 43.0 42.0 14.0 18.0 ## [7052] 31.0 13.0 12.0 12.0 20.0 19.0 18.0 18.0 18.0 23.0 21.0 ## [7063] 23.0 24.0 25.0 21.0 28.0 42.0 27.0 46.0 43.0 13.0 17.0 ## [7074] 16.0 16.0 13.0 18.0 14.0 22.0 20.0 40.0 32.0 27.0 31.0 ## [7085] 19.0 31.0 31.0 41.0 39.0 32.0 45.0 30.0 36.0 37.0 36.0 ## [7096] 15.0 12.0 18.0 12.0 13.0 14.0 16.0 16.0 22.0 21.0 61.0 ## [7107] 62.0 77.0 52.0 63.0 58.0 52.0 50.0 61.0 58.0 57.0 83.0 ## [7118] 82.0 54.0 62.0 152.0 57.0 55.0 70.0 50.0 59.0 94.0 138.0 ## [7129] 54.0 305.0 64.0 59.0 84.0 59.0 99.0 62.0 49.0 53.0 52.0 ## [7140] 142.0 58.0 104.0 62.0 105.0 49.0 107.0 63.0 51.0 76.0 50.0 ## [7151] 83.0 112.0 49.0 94.0 56.0 50.0 77.0 63.0 55.0 65.0 68.0 ## [7162] 196.0 58.0 68.0 56.0 50.0 109.0 73.0 50.0 52.0 54.0 107.0 ## [7173] 51.0 83.0 64.0 70.0 55.0 62.0 72.0 54.0 51.0 63.0 51.0 ## [7184] 50.0 54.0 67.0 169.0 176.0 3.0 4.0 7.0 5.0 7.0 3.0 ## [7195] 10.5 10.0 5.0 5.0 6.0 7.0 7.0 4.0 7.0 5.0 4.0 ## [7206] 5.0 5.0 7.0 8.0 6.0 9.0 7.0 6.0 6.0 7.0 9.0 ## [7217] 4.0 5.0 6.0 6.0 5.0 5.0 6.0 5.0 6.0 9.0 5.0 ## [7228] 10.5 5.0 8.0 8.0 5.0 6.0 5.0 5.0 8.0 5.0 8.0 ## [7239] 7.0 6.0 5.0 4.0 5.0 5.0 10.5 6.0 10.0 8.0 5.0 ## [7250] 9.0 5.0 10.0 5.0 7.0 4.0 5.0 7.0 4.0 5.0 5.0 ## [7261] 4.0 7.0 7.0 4.0 7.0 1.0 4.0 7.0 4.0 2.0 2.0 ## [7272] 10.5 10.5 9.0 10.5 10.5 10.5 9.0 3.0 9.0 8.0 10.0 ## [7283] 10.5 10.0 6.0 10.5 10.0 10.5 8.0 0.5 9.0 8.0 6.0 ## [7294] 0.5 9.0 0.5 8.0 1.0 10.0 0.5 0.5 0.5 0.5 10.5 ## [7305] 1.0 8.0 0.5 0.5 0.5 3.0 4.0 2.0 3.0 2.0 3.0 ## [7316] 3.0 4.0 1.0 2.0 4.0 3.0 5.0 4.0 4.0 5.0 5.0 ## [7327] 1.0 2.0 1.0 3.0 2.0 3.0 2.0 4.0 3.0 4.0 5.0 ## [7338] 6.0 6.0 0.5 4.0 4.0 2.0 4.0 2.0 2.0 2.0 1.0 ## [7349] 2.0 4.0 0.5 4.0 4.0 4.0 5.0 4.0 3.0 2.0 3.0 ## [7360] 4.0 2.0 0.5 4.0 2.0 4.0 4.0 4.0 5.0 2.0 2.0 ## [7371] 1.0 1.0 0.5 1.0 3.0 4.0 2.0 3.0 5.0 4.0 5.0 ## [7382] 4.0 2.0 0.5 2.0 1.0 3.0 4.0 5.0 3.0 4.0 4.0 ## [7393] 3.0 2.0 0.5 1.0 3.0 4.0 1.0 3.0 2.0 3.0 4.0 ## [7404] 6.0 5.0 1.0 1.0 6.0 3.0 2.0 2.0 3.0 4.0 3.0 ## [7415] 3.0 6.0 0.5 2.0 2.0 2.0 1.0 2.0 2.0 2.0 2.0 ## [7426] 3.0 3.0 0.5 3.0 5.0 4.0 4.0 7.0 4.0 5.0 5.0 ## [7437] 4.0 10.0 0.5 5.0 2.0 3.0 3.0 5.0 3.0 2.0 4.0 ## [7448] 4.0 1.0 0.5 3.0 3.0 4.0 5.0 4.0 2.0 1.0 3.0 ## [7459] 2.0 1.0 0.5 3.0 3.0 6.0 4.0 2.0 1.0 2.0 4.0 ## [7470] 3.0 3.0 0.5 1.0 2.0 2.0 3.0 5.0 3.0 4.0 3.0 ## [7481] 1.0 5.0 0.5 2.0 3.0 2.0 2.0 2.0 2.0 1.0 4.0 ## [7492] 5.0 2.0 0.5 1.0 2.0 2.0 3.0 4.0 5.0 3.0 2.0 ## [7503] 3.0 2.0 1.0 2.0 5.0 2.0 1.0 2.0 2.0 2.0 1.0 ## [7514] 6.0 4.0 1.0 5.0 5.0 1.0 4.0 3.0 4.0 2.0 1.0 ## [7525] 2.0 3.0 1.0 4.0 3.0 3.0 5.0 2.0 1.0 2.0 1.0 ## [7536] 3.0 4.0 0.5 3.0 4.0 1.0 4.0 2.0 2.0 2.0 2.0 ## [7547] 2.0 2.0 0.5 3.0 3.0 2.0 3.0 2.0 3.0 4.0 3.0 ## [7558] 1.0 2.0 0.5 3.0 4.0 3.0 6.0 3.0 1.0 2.0 3.0 ## [7569] 4.0 5.0 1.0 3.0 3.0 3.0 2.0 2.0 3.0 2.0 4.0 ## [7580] 4.0 2.0 0.5 3.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 ## [7591] 6.0 3.0 0.5 4.0 3.0 5.0 3.0 3.0 5.0 2.0 2.0 ## [7602] 3.0 3.0 1.0 1.0 4.0 4.0 2.0 4.0 4.0 3.0 4.0 ## [7613] 4.0 2.0 1.0 3.0 1.0 2.0 4.0 3.0 2.0 3.0 4.0 ## [7624] 4.0 2.0 1.0 3.0 3.0 2.0 5.0 3.0 4.0 4.0 3.0 ## [7635] 4.0 3.0 0.5 2.0 2.0 3.0 5.0 4.0 5.0 2.0 2.0 ## [7646] 3.0 4.0 0.5 3.0 2.0 2.0 2.0 2.0 1.0 5.0 5.0 ## [7657] 7.0 2.0 0.5 2.0 1.0 6.0 2.0 3.0 4.0 2.0 2.0 ## [7668] 3.0 3.0 1.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0 3.0 ## [7679] 5.0 3.0 0.5 2.0 2.0 3.0 2.0 3.0 5.0 3.0 2.0 ## [7690] 2.0 2.0 0.5 2.0 2.0 3.0 4.0 5.0 2.0 3.0 4.0 ## [7701] 0.5 1.0 0.5 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 ## [7712] 1.0 1.0 0.5 2.0 1.0 2.0 2.0 1.0 1.0 0.5 1.0 ## [7723] 1.0 2.0 0.5 0.5 1.0 1.0 0.5 0.5 2.0 0.5 0.5 ## [7734] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 0.5 1.0 ## [7745] 0.5 0.5 0.5 1.0 1.0 2.0 0.5 0.5 0.5 0.5 2.0 ## [7756] 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [7767] 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 2.0 ## [7778] 1.0 1.0 0.5 1.0 1.0 1.0 0.5 1.0 2.0 1.0 1.0 ## [7789] 1.0 2.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 1.0 1.0 ## [7800] 0.5 1.0 0.5 1.0 1.0 1.0 2.0 1.0 0.5 1.0 0.5 ## [7811] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [7822] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [7833] 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 1.0 1.0 ## [7844] 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 1.0 ## [7855] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [7866] 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 1.0 1.0 ## [7877] 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [7888] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 2.0 1.0 1.0 ## [7899] 1.0 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [7910] 1.0 1.0 0.5 4.0 9.0 6.0 10.5 9.0 6.0 5.0 5.0 ## [7921] 8.0 7.0 0.5 9.0 10.0 10.5 7.0 8.0 5.0 4.0 6.0 ## [7932] 6.0 6.0 0.5 8.0 6.0 10.5 8.0 9.0 9.0 10.0 4.0 ## [7943] 0.5 5.0 10.0 10.0 6.0 8.0 10.0 6.0 8.0 7.0 7.0 ## [7954] 1.0 8.0 7.0 7.0 9.0 7.0 7.0 7.0 6.0 7.0 0.5 ## [7965] 6.0 7.0 7.0 9.0 10.0 4.0 3.0 7.0 7.0 1.0 9.0 ## [7976] 5.0 6.0 5.0 7.0 6.0 4.0 7.0 1.0 9.0 10.0 9.0 ## [7987] 10.5 5.0 8.0 10.0 10.0 10.5 1.0 4.0 8.0 6.0 7.0 ## [7998] 9.0 10.0 8.0 10.5 3.0 6.0 0.5 5.0 5.0 7.0 10.5 ## [8009] 7.0 8.0 8.0 6.0 10.0 10.0 0.5 5.0 8.0 8.0 8.0 ## [8020] 10.0 3.0 10.0 6.0 5.0 0.5 6.0 7.0 8.0 7.0 8.0 ## [8031] 7.0 7.0 7.0 6.0 8.0 1.0 8.0 10.5 8.0 10.0 6.0 ## [8042] 4.0 9.0 8.0 10.5 1.0 9.0 7.0 8.0 5.0 6.0 0.5 ## [8053] 4.0 6.0 10.0 6.0 6.0 9.0 6.0 7.0 0.5 8.0 7.0 ## [8064] 9.0 8.0 9.0 10.5 10.0 9.0 10.0 0.5 8.0 5.0 7.0 ## [8075] 7.0 8.0 6.0 10.0 0.5 8.0 8.0 4.0 7.0 7.0 10.0 ## [8086] 7.0 0.5 8.0 5.0 6.0 8.0 9.0 5.0 5.0 7.0 1.0 ## [8097] 7.0 6.0 8.0 8.0 4.0 7.0 8.0 6.0 9.0 0.5 10.5 ## [8108] 10.0 10.0 7.0 10.0 10.5 8.0 0.5 10.0 7.0 8.0 8.0 ## [8119] 5.0 10.0 10.5 9.0 0.5 7.0 7.0 8.0 4.0 6.0 7.0 ## [8130] 10.0 7.0 1.0 10.0 10.0 5.0 6.0 9.0 7.0 10.0 10.0 ## [8141] 1.0 5.0 9.0 7.0 6.0 9.0 6.0 8.0 6.0 1.0 9.0 ## [8152] 5.0 6.0 6.0 5.0 9.0 10.0 9.0 4.0 0.5 10.0 7.0 ## [8163] 6.0 7.0 10.0 10.0 10.5 10.0 7.0 1.0 7.0 7.0 9.0 ## [8174] 9.0 10.0 9.0 10.5 6.0 10.0 1.0 7.0 7.0 9.0 6.0 ## [8185] 10.5 5.0 7.0 9.0 9.0 2.0 0.5 7.0 5.0 6.0 8.0 ## [8196] 10.5 7.0 10.5 1.0 5.0 6.0 6.0 10.0 5.0 8.0 6.0 ## [8207] 7.0 0.5 10.0 5.0 10.0 9.0 5.0 6.0 10.5 1.0 8.0 ## [8218] 6.0 6.0 8.0 8.0 8.0 5.0 7.0 7.0 0.5 9.0 5.0 ## [8229] 8.0 7.0 10.0 8.0 8.0 6.0 5.0 0.5 7.0 10.0 5.0 ## [8240] 5.0 5.0 8.0 4.0 0.5 5.0 6.0 6.0 6.0 8.0 9.0 ## [8251] 7.0 10.5 6.0 0.5 6.0 3.0 7.0 10.5 10.5 9.0 9.0 ## [8262] 4.0 7.0 6.0 0.5 8.0 5.0 10.0 7.0 5.0 7.0 10.0 ## [8273] 0.5 8.0 8.0 9.0 10.5 10.0 7.0 6.0 9.0 0.5 8.0 ## [8284] 5.0 5.0 8.0 8.0 7.0 6.0 6.0 8.0 1.0 8.0 5.0 ## [8295] 7.0 2.0 8.0 7.0 10.5 7.0 8.0 1.0 9.0 7.0 9.0 ## [8306] 9.0 9.0 6.0 9.0 7.0 4.0 4.0 1.0 9.0 9.0 10.0 ## [8317] 10.0 5.0 5.0 10.5 0.5 4.0 7.0 8.0 8.0 9.0 9.0 ## [8328] 7.0 8.0 7.0 7.0 0.5 7.0 9.0 7.0 10.0 5.0 7.0 ## [8339] 8.0 10.0 8.0 0.5 5.0 2.0 8.0 6.0 6.0 6.0 8.0 ## [8350] 8.0 0.5 8.0 7.0 9.0 6.0 5.0 4.0 10.0 3.0 6.0 ## [8361] 0.5 6.0 9.0 10.5 3.0 8.0 8.0 5.0 5.0 6.0 0.5 ## [8372] 9.0 9.0 6.0 9.0 7.0 6.0 10.0 6.0 8.0 9.0 1.0 ## [8383] 5.0 7.0 10.0 9.0 5.0 10.5 6.0 1.0 8.0 10.5 10.5 ## [8394] 5.0 6.0 5.0 7.0 8.0 8.0 1.0 7.0 6.0 4.0 7.0 ## [8405] 9.0 7.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [8416] 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [8427] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [8438] 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [8449] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 ## [8460] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 0.5 1.0 0.5 ## [8471] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 ## [8482] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [8493] 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [8504] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [8515] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 0.5 ## [8526] 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [8537] 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [8548] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [8559] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 1.0 1.0 ## [8570] 1.0 0.5 0.5 0.5 1.0 0.5 0.5 1.0 1.0 0.5 1.0 ## [8581] 0.5 0.5 1.0 0.5 2.0 2.0 1.0 2.0 2.0 3.0 2.0 ## [8592] 4.0 4.0 1.0 4.0 3.0 3.0 2.0 2.0 2.0 3.0 3.0 ## [8603] 3.0 1.0 2.0 3.0 3.0 3.0 4.0 2.0 2.0 3.0 2.0 ## [8614] 2.0 2.0 1.0 3.0 3.0 1.0 2.0 1.0 3.0 3.0 2.0 ## [8625] 2.0 6.0 1.0 3.0 4.0 2.0 2.0 2.0 2.0 4.0 3.0 ## [8636] 2.0 3.0 2.0 2.0 2.0 2.0 2.0 4.0 2.0 2.0 3.0 ## [8647] 4.0 2.0 2.0 2.0 3.0 2.0 5.0 2.0 1.0 1.0 2.0 ## [8658] 2.0 2.0 3.0 3.0 4.0 2.0 2.0 5.0 6.0 3.0 3.0 ## [8669] 3.0 2.0 4.0 2.0 2.0 4.0 6.0 2.0 1.0 2.0 2.0 ## [8680] 1.0 1.0 3.0 2.0 5.0 2.0 3.0 1.0 3.0 2.0 3.0 ## [8691] 3.0 3.0 3.0 1.0 1.0 2.0 4.0 3.0 2.0 2.0 2.0 ## [8702] 3.0 1.0 2.0 2.0 1.0 3.0 2.0 6.0 4.0 5.0 3.0 ## [8713] 1.0 1.0 3.0 2.0 1.0 1.0 2.0 4.0 2.0 3.0 2.0 ## [8724] 2.0 2.0 1.0 2.0 1.0 2.0 1.0 4.0 2.0 1.0 2.0 ## [8735] 4.0 2.0 9.0 10.5 10.5 10.0 10.5 10.0 6.0 8.0 10.0 ## [8746] 9.0 10.5 10.0 10.5 10.0 10.5 8.0 10.5 10.0 10.5 10.5 ## [8757] 10.5 10.0 10.0 10.0 10.0 10.0 10.5 10.5 13.0 12.0 14.0 ## [8768] 14.0 11.0 13.0 14.0 22.0 23.0 30.0 27.0 18.0 23.0 27.0 ## [8779] 29.0 35.0 34.0 29.0 27.0 17.0 18.0 21.0 23.0 24.0 27.0 ## [8790] 35.0 42.0 14.0 15.0 24.0 14.0 27.0 25.0 24.0 28.0 42.0 ## [8801] 30.0 43.0 22.0 26.0 40.0 13.0 27.0 31.0 41.0 41.0 46.0 ## [8812] 12.0 47.0 26.0 38.0 18.0 19.0 23.0 16.0 14.0 23.0 27.0 ## [8823] 13.0 18.0 14.0 21.0 18.0 19.0 24.0 25.0 15.0 22.0 23.0 ## [8834] 27.0 25.0 36.0 33.0 38.0 43.0 15.0 34.0 46.0 40.0 13.0 ## [8845] 15.0 17.0 19.0 22.0 14.0 20.0 23.0 33.0 36.0 34.0 16.0 ## [8856] 16.0 15.0 26.0 27.0 14.0 29.0 25.0 45.0 46.0 17.0 16.0 ## [8867] 12.0 15.0 18.0 16.0 21.0 16.0 23.0 25.0 35.0 32.0 47.0 ## [8878] 12.0 22.0 15.0 13.0 20.0 38.0 20.0 30.0 23.0 18.0 34.0 ## [8889] 26.0 22.0 20.0 19.0 15.0 19.0 25.0 38.0 20.0 12.0 12.0 ## [8900] 12.0 12.0 21.0 22.0 23.0 21.0 29.0 44.0 13.0 22.0 12.0 ## [8911] 15.0 13.0 18.0 21.0 31.0 25.0 29.0 36.0 47.0 22.0 19.0 ## [8922] 29.0 29.0 38.0 36.0 18.0 46.0 26.0 39.0 14.0 18.0 17.0 ## [8933] 30.0 37.0 22.0 16.0 27.0 32.0 35.0 22.0 23.0 18.0 47.0 ## [8944] 19.0 14.0 43.0 14.0 12.0 14.0 16.0 19.0 27.0 44.0 18.0 ## [8955] 15.0 30.0 37.0 31.0 33.0 23.0 41.0 23.0 43.0 13.0 13.0 ## [8966] 16.0 20.0 16.0 11.0 17.0 20.0 15.0 16.0 34.0 17.0 17.0 ## [8977] 25.0 13.0 13.0 30.0 14.0 22.0 12.0 13.0 17.0 27.0 14.0 ## [8988] 38.0 12.0 13.0 27.0 33.0 13.0 20.0 19.0 28.0 14.0 37.0 ## [8999] 41.0 39.0 12.0 18.0 14.0 16.0 23.0 43.0 16.0 14.0 16.0 ## [9010] 12.0 26.0 19.0 19.0 21.0 14.0 34.0 32.0 15.0 45.0 34.0 ## [9021] 22.0 32.0 22.0 39.0 24.0 21.0 43.0 17.0 17.0 23.0 18.0 ## [9032] 15.0 23.0 15.0 19.0 22.0 40.0 19.0 43.0 12.0 21.0 15.0 ## [9043] 29.0 15.0 22.0 19.0 22.0 24.0 46.0 41.0 21.0 12.0 13.0 ## [9054] 27.0 19.0 22.0 18.0 15.0 17.0 27.0 11.0 21.0 26.0 23.0 ## [9065] 45.0 12.0 17.0 12.0 12.0 12.0 14.0 13.0 13.0 15.0 12.0 ## [9076] 15.0 13.0 12.0 13.0 13.0 12.0 13.0 12.0 13.0 13.0 12.0 ## [9087] 12.0 12.0 12.0 13.0 12.0 12.0 14.0 14.0 14.0 12.0 11.0 ## [9098] 13.0 12.0 14.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 16.0 ## [9109] 13.0 11.0 13.0 13.0 14.0 12.0 12.0 16.0 12.0 12.0 13.0 ## [9120] 12.0 12.0 16.0 13.0 12.0 15.0 13.0 12.0 16.0 16.0 11.0 ## [9131] 14.0 13.0 18.0 13.0 16.0 12.0 17.0 14.0 16.0 13.0 15.0 ## [9142] 12.0 13.0 14.0 14.0 17.0 19.0 18.0 24.0 14.0 13.0 15.0 ## [9153] 22.0 20.0 19.0 19.0 22.0 21.0 16.0 18.0 17.0 32.0 12.0 ## [9164] 15.0 15.0 20.0 19.0 34.0 35.0 18.0 19.0 12.0 16.0 14.0 ## [9175] 14.0 21.0 21.0 27.0 14.0 41.0 13.0 20.0 40.0 12.0 12.0 ## [9186] 16.0 16.0 24.0 20.0 16.0 35.0 21.0 21.0 21.0 15.0 25.0 ## [9197] 24.0 26.0 34.0 15.0 15.0 13.0 21.0 15.0 18.0 25.0 16.0 ## [9208] 21.0 16.0 14.0 13.0 17.0 13.0 21.0 22.0 26.0 30.0 42.0 ## [9219] 17.0 20.0 21.0 23.0 26.0 32.0 14.0 12.0 11.0 20.0 16.0 ## [9230] 17.0 12.0 14.0 15.0 12.0 22.0 22.0 20.0 23.0 19.0 21.0 ## [9241] 24.0 25.0 28.0 30.0 14.0 21.0 17.0 18.0 16.0 18.0 15.0 ## [9252] 24.0 17.0 20.0 12.0 15.0 13.0 13.0 14.0 20.0 12.0 20.0 ## [9263] 20.0 19.0 16.0 19.0 25.0 17.0 24.0 21.0 19.0 27.0 27.0 ## [9274] 33.0 40.0 35.0 41.0 14.0 21.0 15.0 23.0 16.0 15.0 18.0 ## [9285] 34.0 29.0 27.0 32.0 43.0 13.0 15.0 12.0 11.0 19.0 21.0 ## [9296] 21.0 29.0 33.0 32.0 29.0 33.0 36.0 42.0 17.0 24.0 17.0 ## [9307] 24.0 12.0 14.0 14.0 15.0 16.0 18.0 16.0 17.0 19.0 24.0 ## [9318] 28.0 24.0 23.0 30.0 23.0 32.0 31.0 32.0 47.0 18.0 27.0 ## [9329] 21.0 19.0 32.0 33.0 38.0 20.0 25.0 38.0 18.0 20.0 43.0 ## [9340] 46.0 13.0 12.0 14.0 16.0 14.0 16.0 19.0 19.0 16.0 19.0 ## [9351] 32.0 23.0 20.0 24.0 23.0 31.0 28.0 14.0 17.0 14.0 12.0 ## [9362] 26.0 13.0 13.0 17.0 16.0 23.0 27.0 24.0 22.0 24.0 25.0 ## [9373] 22.0 22.0 28.0 30.0 40.0 37.0 15.0 19.0 16.0 28.0 35.0 ## [9384] 32.0 36.0 34.0 33.0 39.0 38.0 15.0 18.0 14.0 15.0 22.0 ## [9395] 26.0 33.0 23.0 17.0 24.0 36.0 32.0 38.0 14.0 17.0 12.0 ## [9406] 14.0 13.0 16.0 18.0 26.0 29.0 36.0 48.0 12.0 17.0 19.0 ## [9417] 26.0 23.0 28.0 29.0 37.0 20.0 36.0 48.0 15.0 18.0 17.0 ## [9428] 27.0 26.0 34.0 15.0 31.0 43.0 14.0 13.0 31.0 18.0 15.0 ## [9439] 18.0 20.0 22.0 35.0 29.0 43.0 42.0 14.0 18.0 31.0 13.0 ## [9450] 12.0 12.0 20.0 19.0 18.0 18.0 18.0 23.0 21.0 23.0 24.0 ## [9461] 25.0 21.0 28.0 42.0 27.0 46.0 43.0 13.0 17.0 16.0 16.0 ## [9472] 13.0 18.0 14.0 22.0 20.0 40.0 32.0 27.0 31.0 19.0 31.0 ## [9483] 31.0 41.0 39.0 32.0 45.0 30.0 36.0 37.0 36.0 15.0 12.0 ## [9494] 18.0 12.0 13.0 14.0 16.0 16.0 22.0 21.0 61.0 62.0 77.0 ## [9505] 52.0 63.0 58.0 52.0 50.0 61.0 58.0 57.0 83.0 82.0 54.0 ## [9516] 62.0 152.0 57.0 55.0 70.0 50.0 59.0 94.0 138.0 54.0 305.0 ## [9527] 64.0 59.0 84.0 59.0 99.0 62.0 49.0 53.0 52.0 142.0 58.0 ## [9538] 104.0 62.0 105.0 49.0 107.0 63.0 51.0 76.0 50.0 83.0 112.0 ## [9549] 49.0 94.0 56.0 50.0 77.0 63.0 55.0 65.0 68.0 196.0 58.0 ## [9560] 68.0 56.0 50.0 109.0 73.0 50.0 52.0 54.0 107.0 51.0 83.0 ## [9571] 64.0 70.0 55.0 62.0 72.0 54.0 51.0 63.0 51.0 50.0 54.0 ## [9582] 67.0 169.0 176.0 3.0 4.0 7.0 5.0 7.0 3.0 10.5 10.0 ## [9593] 5.0 5.0 6.0 7.0 7.0 4.0 7.0 5.0 4.0 5.0 5.0 ## [9604] 7.0 8.0 6.0 9.0 7.0 6.0 6.0 7.0 9.0 4.0 5.0 ## [9615] 6.0 6.0 5.0 5.0 6.0 5.0 6.0 9.0 5.0 10.5 5.0 ## [9626] 8.0 8.0 5.0 6.0 5.0 5.0 8.0 5.0 8.0 7.0 6.0 ## [9637] 5.0 4.0 5.0 5.0 10.5 6.0 10.0 8.0 5.0 9.0 5.0 ## [9648] 10.0 5.0 7.0 4.0 5.0 7.0 4.0 5.0 5.0 4.0 7.0 ## [9659] 7.0 4.0 7.0 1.0 4.0 7.0 4.0 2.0 2.0 10.5 10.5 ## [9670] 9.0 10.5 10.5 10.5 9.0 3.0 9.0 8.0 10.0 10.5 10.0 ## [9681] 6.0 10.5 10.0 10.5 8.0 0.5 9.0 8.0 6.0 0.5 9.0 ## [9692] 0.5 8.0 1.0 10.0 0.5 0.5 0.5 0.5 10.5 1.0 8.0 ## [9703] 0.5 0.5 0.5 3.0 4.0 2.0 3.0 2.0 3.0 3.0 4.0 ## [9714] 1.0 2.0 4.0 3.0 5.0 4.0 4.0 5.0 5.0 1.0 2.0 ## [9725] 1.0 3.0 2.0 3.0 2.0 4.0 3.0 4.0 5.0 6.0 6.0 ## [9736] 0.5 4.0 4.0 2.0 4.0 2.0 2.0 2.0 1.0 2.0 4.0 ## [9747] 0.5 4.0 4.0 4.0 5.0 4.0 3.0 2.0 3.0 4.0 2.0 ## [9758] 0.5 4.0 2.0 4.0 4.0 4.0 5.0 2.0 2.0 1.0 1.0 ## [9769] 0.5 1.0 3.0 4.0 2.0 3.0 5.0 4.0 5.0 4.0 2.0 ## [9780] 0.5 2.0 1.0 3.0 4.0 5.0 3.0 4.0 4.0 3.0 2.0 ## [9791] 0.5 1.0 3.0 4.0 1.0 3.0 2.0 3.0 4.0 6.0 5.0 ## [9802] 1.0 1.0 6.0 3.0 2.0 2.0 3.0 4.0 3.0 3.0 6.0 ## [9813] 0.5 2.0 2.0 2.0 1.0 2.0 2.0 2.0 2.0 3.0 3.0 ## [9824] 0.5 3.0 5.0 4.0 4.0 7.0 4.0 5.0 5.0 4.0 10.0 ## [9835] 0.5 5.0 2.0 3.0 3.0 5.0 3.0 2.0 4.0 4.0 1.0 ## [9846] 0.5 3.0 3.0 4.0 5.0 4.0 2.0 1.0 3.0 2.0 1.0 ## [9857] 0.5 3.0 3.0 6.0 4.0 2.0 1.0 2.0 4.0 3.0 3.0 ## [9868] 0.5 1.0 2.0 2.0 3.0 5.0 3.0 4.0 3.0 1.0 5.0 ## [9879] 0.5 2.0 3.0 2.0 2.0 2.0 2.0 1.0 4.0 5.0 2.0 ## [9890] 0.5 1.0 2.0 2.0 3.0 4.0 5.0 3.0 2.0 3.0 2.0 ## [9901] 1.0 2.0 5.0 2.0 1.0 2.0 2.0 2.0 1.0 6.0 4.0 ## [9912] 1.0 5.0 5.0 1.0 4.0 3.0 4.0 2.0 1.0 2.0 3.0 ## [9923] 1.0 4.0 3.0 3.0 5.0 2.0 1.0 2.0 1.0 3.0 4.0 ## [9934] 0.5 3.0 4.0 1.0 4.0 2.0 2.0 2.0 2.0 2.0 2.0 ## [9945] 0.5 3.0 3.0 2.0 3.0 2.0 3.0 4.0 3.0 1.0 2.0 ## [9956] 0.5 3.0 4.0 3.0 6.0 3.0 1.0 2.0 3.0 4.0 5.0 ## [9967] 1.0 3.0 3.0 3.0 2.0 2.0 3.0 2.0 4.0 4.0 2.0 ## [9978] 0.5 3.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 6.0 3.0 ## [9989] 0.5 4.0 3.0 5.0 3.0 3.0 5.0 2.0 2.0 3.0 3.0 ## [10000] 1.0 1.0 4.0 4.0 2.0 4.0 4.0 3.0 4.0 4.0 2.0 ## [10011] 1.0 3.0 1.0 2.0 4.0 3.0 2.0 3.0 4.0 4.0 2.0 ## [10022] 1.0 3.0 3.0 2.0 5.0 3.0 4.0 4.0 3.0 4.0 3.0 ## [10033] 0.5 2.0 2.0 3.0 5.0 4.0 5.0 2.0 2.0 3.0 4.0 ## [10044] 0.5 3.0 2.0 2.0 2.0 2.0 1.0 5.0 5.0 7.0 2.0 ## [10055] 0.5 2.0 1.0 6.0 2.0 3.0 4.0 2.0 2.0 3.0 3.0 ## [10066] 1.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0 3.0 5.0 3.0 ## [10077] 0.5 2.0 2.0 3.0 2.0 3.0 5.0 3.0 2.0 2.0 2.0 ## [10088] 0.5 2.0 2.0 3.0 4.0 5.0 2.0 3.0 4.0 0.5 1.0 ## [10099] 0.5 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 ## [10110] 0.5 2.0 1.0 2.0 2.0 1.0 1.0 0.5 1.0 1.0 2.0 ## [10121] 0.5 0.5 1.0 1.0 0.5 0.5 2.0 0.5 0.5 1.0 1.0 ## [10132] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 0.5 1.0 0.5 0.5 ## [10143] 0.5 1.0 1.0 2.0 0.5 0.5 0.5 0.5 2.0 0.5 0.5 ## [10154] 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [10165] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 2.0 1.0 1.0 ## [10176] 0.5 1.0 1.0 1.0 0.5 1.0 2.0 1.0 1.0 1.0 2.0 ## [10187] 0.5 1.0 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [10198] 0.5 1.0 1.0 1.0 2.0 1.0 0.5 1.0 0.5 0.5 1.0 ## [10209] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [10220] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [10231] 1.0 1.0 0.5 1.0 0.5 0.5 1.0 1.0 1.0 1.0 0.5 ## [10242] 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 1.0 0.5 0.5 ## [10253] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [10264] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 ## [10275] 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 ## [10286] 0.5 0.5 0.5 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 ## [10297] 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [10308] 0.5 4.0 9.0 6.0 10.5 9.0 6.0 5.0 5.0 8.0 7.0 ## [10319] 0.5 9.0 10.0 10.5 7.0 8.0 5.0 4.0 6.0 6.0 6.0 ## [10330] 0.5 8.0 6.0 10.5 8.0 9.0 9.0 10.0 4.0 0.5 5.0 ## [10341] 10.0 10.0 6.0 8.0 10.0 6.0 8.0 7.0 7.0 1.0 8.0 ## [10352] 7.0 7.0 9.0 7.0 7.0 7.0 6.0 7.0 0.5 6.0 7.0 ## [10363] 7.0 9.0 10.0 4.0 3.0 7.0 7.0 1.0 9.0 5.0 6.0 ## [10374] 5.0 7.0 6.0 4.0 7.0 1.0 9.0 10.0 9.0 10.5 5.0 ## [10385] 8.0 10.0 10.0 10.5 1.0 4.0 8.0 6.0 7.0 9.0 10.0 ## [10396] 8.0 10.5 3.0 6.0 0.5 5.0 5.0 7.0 10.5 7.0 8.0 ## [10407] 8.0 6.0 10.0 10.0 0.5 5.0 8.0 8.0 8.0 10.0 3.0 ## [10418] 10.0 6.0 5.0 0.5 6.0 7.0 8.0 7.0 8.0 7.0 7.0 ## [10429] 7.0 6.0 8.0 1.0 8.0 10.5 8.0 10.0 6.0 4.0 9.0 ## [10440] 8.0 10.5 1.0 9.0 7.0 8.0 5.0 6.0 0.5 4.0 6.0 ## [10451] 10.0 6.0 6.0 9.0 6.0 7.0 0.5 8.0 7.0 9.0 8.0 ## [10462] 9.0 10.5 10.0 9.0 10.0 0.5 8.0 5.0 7.0 7.0 8.0 ## [10473] 6.0 10.0 0.5 8.0 8.0 4.0 7.0 7.0 10.0 7.0 0.5 ## [10484] 8.0 5.0 6.0 8.0 9.0 5.0 5.0 7.0 1.0 7.0 6.0 ## [10495] 8.0 8.0 4.0 7.0 8.0 6.0 9.0 0.5 10.5 10.0 10.0 ## [10506] 7.0 10.0 10.5 8.0 0.5 10.0 7.0 8.0 8.0 5.0 10.0 ## [10517] 10.5 9.0 0.5 7.0 7.0 8.0 4.0 6.0 7.0 10.0 7.0 ## [10528] 1.0 10.0 10.0 5.0 6.0 9.0 7.0 10.0 10.0 1.0 5.0 ## [10539] 9.0 7.0 6.0 9.0 6.0 8.0 6.0 1.0 9.0 5.0 6.0 ## [10550] 6.0 5.0 9.0 10.0 9.0 4.0 0.5 10.0 7.0 6.0 7.0 ## [10561] 10.0 10.0 10.5 10.0 7.0 1.0 7.0 7.0 9.0 9.0 10.0 ## [10572] 9.0 10.5 6.0 10.0 1.0 7.0 7.0 9.0 6.0 10.5 5.0 ## [10583] 7.0 9.0 9.0 2.0 0.5 7.0 5.0 6.0 8.0 10.5 7.0 ## [10594] 10.5 1.0 5.0 6.0 6.0 10.0 5.0 8.0 6.0 7.0 0.5 ## [10605] 10.0 5.0 10.0 9.0 5.0 6.0 10.5 1.0 8.0 6.0 6.0 ## [10616] 8.0 8.0 8.0 5.0 7.0 7.0 0.5 9.0 5.0 8.0 7.0 ## [10627] 10.0 8.0 8.0 6.0 5.0 0.5 7.0 10.0 5.0 5.0 5.0 ## [10638] 8.0 4.0 0.5 5.0 6.0 6.0 6.0 8.0 9.0 7.0 10.5 ## [10649] 6.0 0.5 6.0 3.0 7.0 10.5 10.5 9.0 9.0 4.0 7.0 ## [10660] 6.0 0.5 8.0 5.0 10.0 7.0 5.0 7.0 10.0 0.5 8.0 ## [10671] 8.0 9.0 10.5 10.0 7.0 6.0 9.0 0.5 8.0 5.0 5.0 ## [10682] 8.0 8.0 7.0 6.0 6.0 8.0 1.0 8.0 5.0 7.0 2.0 ## [10693] 8.0 7.0 10.5 7.0 8.0 1.0 9.0 7.0 9.0 9.0 9.0 ## [10704] 6.0 9.0 7.0 4.0 4.0 1.0 9.0 9.0 10.0 10.0 5.0 ## [10715] 5.0 10.5 0.5 4.0 7.0 8.0 8.0 9.0 9.0 7.0 8.0 ## [10726] 7.0 7.0 0.5 7.0 9.0 7.0 10.0 5.0 7.0 8.0 10.0 ## [10737] 8.0 0.5 5.0 2.0 8.0 6.0 6.0 6.0 8.0 8.0 0.5 ## [10748] 8.0 7.0 9.0 6.0 5.0 4.0 10.0 3.0 6.0 0.5 6.0 ## [10759] 9.0 10.5 3.0 8.0 8.0 5.0 5.0 6.0 0.5 9.0 9.0 ## [10770] 6.0 9.0 7.0 6.0 10.0 6.0 8.0 9.0 1.0 5.0 7.0 ## [10781] 10.0 9.0 5.0 10.5 6.0 1.0 8.0 10.5 10.5 5.0 6.0 ## [10792] 5.0 7.0 8.0 8.0 1.0 7.0 6.0 4.0 7.0 9.0 7.0 ## [10803] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [10814] 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [10825] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [10836] 1.0 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 ## [10847] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 ## [10858] 0.5 1.0 1.0 1.0 0.5 1.0 0.5 1.0 0.5 0.5 1.0 ## [10869] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 ## [10880] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 ## [10891] 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [10902] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [10913] 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [10924] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [10935] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [10946] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [10957] 0.5 0.5 0.5 1.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 ## [10968] 0.5 0.5 1.0 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [10979] 1.0 0.5 2.0 2.0 1.0 2.0 2.0 3.0 2.0 4.0 4.0 ## [10990] 1.0 4.0 3.0 3.0 2.0 2.0 2.0 3.0 3.0 3.0 1.0 ## [11001] 2.0 3.0 3.0 3.0 4.0 2.0 2.0 3.0 2.0 2.0 2.0 ## [11012] 1.0 3.0 3.0 1.0 2.0 1.0 3.0 3.0 2.0 2.0 6.0 ## [11023] 1.0 3.0 4.0 2.0 2.0 2.0 2.0 4.0 3.0 2.0 3.0 ## [11034] 2.0 2.0 2.0 2.0 2.0 4.0 2.0 2.0 3.0 4.0 2.0 ## [11045] 2.0 2.0 3.0 2.0 5.0 2.0 1.0 1.0 2.0 2.0 2.0 ## [11056] 3.0 3.0 4.0 2.0 2.0 5.0 6.0 3.0 3.0 3.0 2.0 ## [11067] 4.0 2.0 2.0 4.0 6.0 2.0 1.0 2.0 2.0 1.0 1.0 ## [11078] 3.0 2.0 5.0 2.0 3.0 1.0 3.0 2.0 3.0 3.0 3.0 ## [11089] 3.0 1.0 1.0 2.0 4.0 3.0 2.0 2.0 2.0 3.0 1.0 ## [11100] 2.0 2.0 1.0 3.0 2.0 6.0 4.0 5.0 3.0 1.0 1.0 ## [11111] 3.0 2.0 1.0 1.0 2.0 4.0 2.0 3.0 2.0 2.0 2.0 ## [11122] 1.0 2.0 1.0 2.0 1.0 4.0 2.0 1.0 2.0 4.0 2.0 ## [11133] 9.0 10.5 10.5 10.0 10.5 10.0 6.0 8.0 10.0 9.0 10.5 ## [11144] 10.0 10.5 10.0 10.5 8.0 10.5 10.0 10.5 10.5 10.5 10.0 ## [11155] 10.0 10.0 10.0 10.0 10.5 10.5 13.0 12.0 14.0 14.0 11.0 ## [11166] 13.0 14.0 22.0 23.0 30.0 27.0 18.0 23.0 27.0 29.0 35.0 ## [11177] 34.0 29.0 27.0 17.0 18.0 21.0 23.0 24.0 27.0 35.0 42.0 ## [11188] 14.0 15.0 24.0 14.0 27.0 25.0 24.0 28.0 42.0 30.0 43.0 ## [11199] 22.0 26.0 40.0 13.0 27.0 31.0 41.0 41.0 46.0 12.0 47.0 ## [11210] 26.0 38.0 18.0 19.0 23.0 16.0 14.0 23.0 27.0 13.0 18.0 ## [11221] 14.0 21.0 18.0 19.0 24.0 25.0 15.0 22.0 23.0 27.0 25.0 ## [11232] 36.0 33.0 38.0 43.0 15.0 34.0 46.0 40.0 13.0 15.0 17.0 ## [11243] 19.0 22.0 14.0 20.0 23.0 33.0 36.0 34.0 16.0 16.0 15.0 ## [11254] 26.0 27.0 14.0 29.0 25.0 45.0 46.0 17.0 16.0 12.0 15.0 ## [11265] 18.0 16.0 21.0 16.0 23.0 25.0 35.0 32.0 47.0 12.0 22.0 ## [11276] 15.0 13.0 20.0 38.0 20.0 30.0 23.0 18.0 34.0 26.0 22.0 ## [11287] 20.0 19.0 15.0 19.0 25.0 38.0 20.0 12.0 12.0 12.0 12.0 ## [11298] 21.0 22.0 23.0 21.0 29.0 44.0 13.0 22.0 12.0 15.0 13.0 ## [11309] 18.0 21.0 31.0 25.0 29.0 36.0 47.0 22.0 19.0 29.0 29.0 ## [11320] 38.0 36.0 18.0 46.0 26.0 39.0 14.0 18.0 17.0 30.0 37.0 ## [11331] 22.0 16.0 27.0 32.0 35.0 22.0 23.0 18.0 47.0 19.0 14.0 ## [11342] 43.0 14.0 12.0 14.0 16.0 19.0 27.0 44.0 18.0 15.0 30.0 ## [11353] 37.0 31.0 33.0 23.0 41.0 23.0 43.0 13.0 13.0 16.0 20.0 ## [11364] 16.0 11.0 17.0 20.0 15.0 16.0 34.0 17.0 17.0 25.0 13.0 ## [11375] 13.0 30.0 14.0 22.0 12.0 13.0 17.0 27.0 14.0 38.0 12.0 ## [11386] 13.0 27.0 33.0 13.0 20.0 19.0 28.0 14.0 37.0 41.0 39.0 ## [11397] 12.0 18.0 14.0 16.0 23.0 43.0 16.0 14.0 16.0 12.0 26.0 ## [11408] 19.0 19.0 21.0 14.0 34.0 32.0 15.0 45.0 34.0 22.0 32.0 ## [11419] 22.0 39.0 24.0 21.0 43.0 17.0 17.0 23.0 18.0 15.0 23.0 ## [11430] 15.0 19.0 22.0 40.0 19.0 43.0 12.0 21.0 15.0 29.0 15.0 ## [11441] 22.0 19.0 22.0 24.0 46.0 41.0 21.0 12.0 13.0 27.0 19.0 ## [11452] 22.0 18.0 15.0 17.0 27.0 11.0 21.0 26.0 23.0 45.0 12.0 ## [11463] 17.0 12.0 12.0 12.0 14.0 13.0 13.0 15.0 12.0 15.0 13.0 ## [11474] 12.0 13.0 13.0 12.0 13.0 12.0 13.0 13.0 12.0 12.0 12.0 ## [11485] 12.0 13.0 12.0 12.0 14.0 14.0 14.0 12.0 11.0 13.0 12.0 ## [11496] 14.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 16.0 13.0 11.0 ## [11507] 13.0 13.0 14.0 12.0 12.0 16.0 12.0 12.0 13.0 12.0 12.0 ## [11518] 16.0 13.0 12.0 15.0 13.0 12.0 16.0 16.0 11.0 14.0 13.0 ## [11529] 18.0 13.0 16.0 12.0 17.0 14.0 16.0 13.0 15.0 12.0 13.0 ## [11540] 14.0 14.0 17.0 19.0 18.0 24.0 14.0 13.0 15.0 22.0 20.0 ## [11551] 19.0 19.0 22.0 21.0 16.0 18.0 17.0 32.0 12.0 15.0 15.0 ## [11562] 20.0 19.0 34.0 35.0 18.0 19.0 12.0 16.0 14.0 14.0 21.0 ## [11573] 21.0 27.0 14.0 41.0 13.0 20.0 40.0 12.0 12.0 16.0 16.0 ## [11584] 24.0 20.0 16.0 35.0 21.0 21.0 21.0 15.0 25.0 24.0 26.0 ## [11595] 34.0 15.0 15.0 13.0 21.0 15.0 18.0 25.0 16.0 21.0 16.0 ## [11606] 14.0 13.0 17.0 13.0 21.0 22.0 26.0 30.0 42.0 17.0 20.0 ## [11617] 21.0 23.0 26.0 32.0 14.0 12.0 11.0 20.0 16.0 17.0 12.0 ## [11628] 14.0 15.0 12.0 22.0 22.0 20.0 23.0 19.0 21.0 24.0 25.0 ## [11639] 28.0 30.0 14.0 21.0 17.0 18.0 16.0 18.0 15.0 24.0 17.0 ## [11650] 20.0 12.0 15.0 13.0 13.0 14.0 20.0 12.0 20.0 20.0 19.0 ## [11661] 16.0 19.0 25.0 17.0 24.0 21.0 19.0 27.0 27.0 33.0 40.0 ## [11672] 35.0 41.0 14.0 21.0 15.0 23.0 16.0 15.0 18.0 34.0 29.0 ## [11683] 27.0 32.0 43.0 13.0 15.0 12.0 11.0 19.0 21.0 21.0 29.0 ## [11694] 33.0 32.0 29.0 33.0 36.0 42.0 17.0 24.0 17.0 24.0 12.0 ## [11705] 14.0 14.0 15.0 16.0 18.0 16.0 17.0 19.0 24.0 28.0 24.0 ## [11716] 23.0 30.0 23.0 32.0 31.0 32.0 47.0 18.0 27.0 21.0 19.0 ## [11727] 32.0 33.0 38.0 20.0 25.0 38.0 18.0 20.0 43.0 46.0 13.0 ## [11738] 12.0 14.0 16.0 14.0 16.0 19.0 19.0 16.0 19.0 32.0 23.0 ## [11749] 20.0 24.0 23.0 31.0 28.0 14.0 17.0 14.0 12.0 26.0 13.0 ## [11760] 13.0 17.0 16.0 23.0 27.0 24.0 22.0 24.0 25.0 22.0 22.0 ## [11771] 28.0 30.0 40.0 37.0 15.0 19.0 16.0 28.0 35.0 32.0 36.0 ## [11782] 34.0 33.0 39.0 38.0 15.0 18.0 14.0 15.0 22.0 26.0 33.0 ## [11793] 23.0 17.0 24.0 36.0 32.0 38.0 14.0 17.0 12.0 14.0 13.0 ## [11804] 16.0 18.0 26.0 29.0 36.0 48.0 12.0 17.0 19.0 26.0 23.0 ## [11815] 28.0 29.0 37.0 20.0 36.0 48.0 15.0 18.0 17.0 27.0 26.0 ## [11826] 34.0 15.0 31.0 43.0 14.0 13.0 31.0 18.0 15.0 18.0 20.0 ## [11837] 22.0 35.0 29.0 43.0 42.0 14.0 18.0 31.0 13.0 12.0 12.0 ## [11848] 20.0 19.0 18.0 18.0 18.0 23.0 21.0 23.0 24.0 25.0 21.0 ## [11859] 28.0 42.0 27.0 46.0 43.0 13.0 17.0 16.0 16.0 13.0 18.0 ## [11870] 14.0 22.0 20.0 40.0 32.0 27.0 31.0 19.0 31.0 31.0 41.0 ## [11881] 39.0 32.0 45.0 30.0 36.0 37.0 36.0 15.0 12.0 18.0 12.0 ## [11892] 13.0 14.0 16.0 16.0 22.0 21.0 61.0 62.0 77.0 52.0 63.0 ## [11903] 58.0 52.0 50.0 61.0 58.0 57.0 83.0 82.0 54.0 62.0 152.0 ## [11914] 57.0 55.0 70.0 50.0 59.0 94.0 138.0 54.0 305.0 64.0 59.0 ## [11925] 84.0 59.0 99.0 62.0 49.0 53.0 52.0 142.0 58.0 104.0 62.0 ## [11936] 105.0 49.0 107.0 63.0 51.0 76.0 50.0 83.0 112.0 49.0 94.0 ## [11947] 56.0 50.0 77.0 63.0 55.0 65.0 68.0 196.0 58.0 68.0 56.0 ## [11958] 50.0 109.0 73.0 50.0 52.0 54.0 107.0 51.0 83.0 64.0 70.0 ## [11969] 55.0 62.0 72.0 54.0 51.0 63.0 51.0 50.0 54.0 67.0 169.0 ## [11980] 176.0 3.0 4.0 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 ## [11991] 6.0 7.0 7.0 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 ## [12002] 6.0 9.0 7.0 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 ## [12013] 5.0 5.0 6.0 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 ## [12024] 5.0 6.0 5.0 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 ## [12035] 5.0 5.0 10.5 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 ## [12046] 7.0 4.0 5.0 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 ## [12057] 7.0 1.0 4.0 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 ## [12068] 10.5 10.5 9.0 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 ## [12079] 10.0 10.5 8.0 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 ## [12090] 1.0 10.0 0.5 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 ## [12101] 0.5 3.0 4.0 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 ## [12112] 4.0 3.0 5.0 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 ## [12123] 2.0 3.0 2.0 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 ## [12134] 4.0 2.0 4.0 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 ## [12145] 4.0 4.0 5.0 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 ## [12156] 2.0 4.0 4.0 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 ## [12167] 3.0 4.0 2.0 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 ## [12178] 1.0 3.0 4.0 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 ## [12189] 3.0 4.0 1.0 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 ## [12200] 6.0 3.0 2.0 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 ## [12211] 2.0 2.0 1.0 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 ## [12222] 5.0 4.0 4.0 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 ## [12233] 2.0 3.0 3.0 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 ## [12244] 3.0 4.0 5.0 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 ## [12255] 3.0 6.0 4.0 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 ## [12266] 2.0 2.0 3.0 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 ## [12277] 3.0 2.0 2.0 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 ## [12288] 2.0 2.0 3.0 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 ## [12299] 5.0 2.0 1.0 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 ## [12310] 5.0 1.0 4.0 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 ## [12321] 3.0 3.0 5.0 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 ## [12332] 4.0 1.0 4.0 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 ## [12343] 3.0 2.0 3.0 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 ## [12354] 4.0 3.0 6.0 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 ## [12365] 3.0 3.0 2.0 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 ## [12376] 2.0 4.0 3.0 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 ## [12387] 3.0 5.0 3.0 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 ## [12398] 4.0 4.0 2.0 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 ## [12409] 1.0 2.0 4.0 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 ## [12420] 3.0 2.0 5.0 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 ## [12431] 2.0 3.0 5.0 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 ## [12442] 2.0 2.0 2.0 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 ## [12453] 1.0 6.0 2.0 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 ## [12464] 2.0 2.0 3.0 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 ## [12475] 2.0 3.0 2.0 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 ## [12486] 2.0 3.0 4.0 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 ## [12497] 1.0 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 ## [12508] 1.0 2.0 2.0 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 ## [12519] 1.0 1.0 0.5 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 ## [12530] 0.5 1.0 1.0 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 ## [12541] 1.0 2.0 0.5 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 ## [12552] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 ## [12563] 1.0 0.5 1.0 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 ## [12574] 1.0 1.0 0.5 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 ## [12585] 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 ## [12596] 1.0 1.0 2.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 ## [12607] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [12618] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [12629] 0.5 1.0 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 ## [12640] 0.5 0.5 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 ## [12651] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 ## [12662] 1.0 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 ## [12673] 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 ## [12684] 0.5 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 ## [12695] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 ## [12706] 9.0 6.0 10.5 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 ## [12717] 10.0 10.5 7.0 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 ## [12728] 6.0 10.5 8.0 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 ## [12739] 6.0 8.0 10.0 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 ## [12750] 9.0 7.0 7.0 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 ## [12761] 10.0 4.0 3.0 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 ## [12772] 6.0 4.0 7.0 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 ## [12783] 10.0 10.5 1.0 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 ## [12794] 3.0 6.0 0.5 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 ## [12805] 10.0 10.0 0.5 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 ## [12816] 5.0 0.5 6.0 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 ## [12827] 8.0 1.0 8.0 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 ## [12838] 1.0 9.0 7.0 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 ## [12849] 6.0 9.0 6.0 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 ## [12860] 10.0 9.0 10.0 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 ## [12871] 0.5 8.0 8.0 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 ## [12882] 6.0 8.0 9.0 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 ## [12893] 4.0 7.0 8.0 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 ## [12904] 10.5 8.0 0.5 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 ## [12915] 0.5 7.0 7.0 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 ## [12926] 10.0 5.0 6.0 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 ## [12937] 6.0 9.0 6.0 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 ## [12948] 9.0 10.0 9.0 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 ## [12959] 10.5 10.0 7.0 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 ## [12970] 6.0 10.0 1.0 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 ## [12981] 9.0 2.0 0.5 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 ## [12992] 5.0 6.0 6.0 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 ## [13003] 10.0 9.0 5.0 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 ## [13014] 8.0 5.0 7.0 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 ## [13025] 8.0 6.0 5.0 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 ## [13036] 0.5 5.0 6.0 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 ## [13047] 6.0 3.0 7.0 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 ## [13058] 8.0 5.0 10.0 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 ## [13069] 10.5 10.0 7.0 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 ## [13080] 7.0 6.0 6.0 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 ## [13091] 10.5 7.0 8.0 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 ## [13102] 7.0 4.0 4.0 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 ## [13113] 0.5 4.0 7.0 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 ## [13124] 0.5 7.0 9.0 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 ## [13135] 5.0 2.0 8.0 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 ## [13146] 9.0 6.0 5.0 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 ## [13157] 3.0 8.0 8.0 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 ## [13168] 7.0 6.0 10.0 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 ## [13179] 5.0 10.5 6.0 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 ## [13190] 8.0 8.0 1.0 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 ## [13201] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [13212] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [13223] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 ## [13234] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [13245] 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [13256] 1.0 1.0 0.5 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 ## [13267] 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 ## [13278] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 ## [13289] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [13300] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [13311] 1.0 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [13322] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 ## [13333] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [13344] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [13355] 0.5 1.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 ## [13366] 1.0 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 ## [13377] 2.0 2.0 1.0 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 ## [13388] 3.0 3.0 2.0 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 ## [13399] 3.0 3.0 4.0 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 ## [13410] 3.0 1.0 2.0 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 ## [13421] 4.0 2.0 2.0 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 ## [13432] 2.0 2.0 2.0 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 ## [13443] 3.0 2.0 5.0 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 ## [13454] 4.0 2.0 2.0 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 ## [13465] 2.0 4.0 6.0 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 ## [13476] 5.0 2.0 3.0 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 ## [13487] 1.0 2.0 4.0 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 ## [13498] 1.0 3.0 2.0 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 ## [13509] 1.0 1.0 2.0 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 ## [13520] 1.0 2.0 1.0 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 ## [13531] 10.5 10.0 10.5 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 ## [13542] 10.0 10.5 8.0 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 ## [13553] 10.0 10.0 10.5 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 ## [13564] 22.0 23.0 30.0 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 ## [13575] 27.0 17.0 18.0 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 ## [13586] 24.0 14.0 27.0 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 ## [13597] 40.0 13.0 27.0 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 ## [13608] 18.0 19.0 23.0 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 ## [13619] 18.0 19.0 24.0 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 ## [13630] 38.0 43.0 15.0 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 ## [13641] 14.0 20.0 23.0 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 ## [13652] 14.0 29.0 25.0 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 ## [13663] 21.0 16.0 23.0 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 ## [13674] 20.0 38.0 20.0 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 ## [13685] 15.0 19.0 25.0 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 ## [13696] 23.0 21.0 29.0 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 ## [13707] 31.0 25.0 29.0 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 ## [13718] 18.0 46.0 26.0 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 ## [13729] 27.0 32.0 35.0 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 ## [13740] 12.0 14.0 16.0 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 ## [13751] 33.0 23.0 41.0 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 ## [13762] 17.0 20.0 15.0 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 ## [13773] 14.0 22.0 12.0 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 ## [13784] 33.0 13.0 20.0 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 ## [13795] 14.0 16.0 23.0 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 ## [13806] 21.0 14.0 34.0 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 ## [13817] 24.0 21.0 43.0 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 ## [13828] 22.0 40.0 19.0 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 ## [13839] 22.0 24.0 46.0 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 ## [13850] 15.0 17.0 27.0 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 ## [13861] 12.0 12.0 14.0 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 ## [13872] 13.0 12.0 13.0 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 ## [13883] 12.0 12.0 14.0 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 ## [13894] 12.0 12.0 12.0 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 ## [13905] 14.0 12.0 12.0 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 ## [13916] 12.0 15.0 13.0 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 ## [13927] 16.0 12.0 17.0 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 ## [13938] 17.0 19.0 18.0 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 ## [13949] 22.0 21.0 16.0 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 ## [13960] 34.0 35.0 18.0 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 ## [13971] 14.0 41.0 13.0 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 ## [13982] 16.0 35.0 21.0 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 ## [13993] 15.0 13.0 21.0 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 ## [14004] 17.0 13.0 21.0 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 ## [14015] 26.0 32.0 14.0 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 ## [14026] 12.0 22.0 22.0 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 ## [14037] 14.0 21.0 17.0 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 ## [14048] 15.0 13.0 13.0 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 ## [14059] 25.0 17.0 24.0 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 ## [14070] 14.0 21.0 15.0 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 ## [14081] 43.0 13.0 15.0 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 ## [14092] 29.0 33.0 36.0 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 ## [14103] 15.0 16.0 18.0 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 ## [14114] 23.0 32.0 31.0 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 ## [14125] 38.0 20.0 25.0 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 ## [14136] 16.0 14.0 16.0 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 ## [14147] 23.0 31.0 28.0 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 ## [14158] 16.0 23.0 27.0 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 ## [14169] 40.0 37.0 15.0 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 ## [14180] 39.0 38.0 15.0 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 ## [14191] 24.0 36.0 32.0 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 ## [14202] 26.0 29.0 36.0 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 ## [14213] 37.0 20.0 36.0 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 ## [14224] 31.0 43.0 14.0 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 ## [14235] 29.0 43.0 42.0 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 ## [14246] 18.0 18.0 18.0 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 ## [14257] 27.0 46.0 43.0 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 ## [14268] 20.0 40.0 32.0 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 ## [14279] 45.0 30.0 36.0 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 ## [14290] 16.0 16.0 22.0 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 ## [14301] 50.0 61.0 58.0 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 ## [14312] 70.0 50.0 59.0 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 ## [14323] 99.0 62.0 49.0 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 ## [14334] 107.0 63.0 51.0 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 ## [14345] 77.0 63.0 55.0 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 ## [14356] 73.0 50.0 52.0 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 ## [14367] 72.0 54.0 51.0 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 ## [14378] 4.0 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 ## [14389] 7.0 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 ## [14400] 7.0 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 ## [14411] 6.0 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 ## [14422] 5.0 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 ## [14433] 10.5 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 ## [14444] 5.0 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 ## [14455] 4.0 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 ## [14466] 9.0 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 ## [14477] 8.0 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 ## [14488] 0.5 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 ## [14499] 4.0 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 ## [14510] 5.0 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 ## [14521] 2.0 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 ## [14532] 4.0 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 ## [14543] 5.0 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 ## [14554] 4.0 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 ## [14565] 2.0 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 ## [14576] 4.0 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 ## [14587] 1.0 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 ## [14598] 2.0 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 ## [14609] 1.0 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 ## [14620] 4.0 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 ## [14631] 3.0 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 ## [14642] 5.0 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 ## [14653] 4.0 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 ## [14664] 3.0 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 ## [14675] 2.0 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 ## [14686] 3.0 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 ## [14697] 1.0 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 ## [14708] 4.0 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 ## [14719] 5.0 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 ## [14730] 4.0 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 ## [14741] 3.0 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 ## [14752] 6.0 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 ## [14763] 2.0 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 ## [14774] 3.0 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 ## [14785] 3.0 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 ## [14796] 2.0 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 ## [14807] 4.0 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 ## [14818] 5.0 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 ## [14829] 5.0 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 ## [14840] 2.0 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 ## [14851] 2.0 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 ## [14862] 3.0 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 ## [14873] 2.0 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 ## [14884] 4.0 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 ## [14895] 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 ## [14906] 2.0 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 ## [14917] 0.5 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [14928] 1.0 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 ## [14939] 0.5 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 ## [14950] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [14961] 1.0 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 ## [14972] 0.5 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 ## [14983] 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 ## [14994] 2.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 ## [15005] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [15016] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 ## [15027] 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [15038] 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [15049] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [15060] 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 ## [15071] 1.0 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 ## [15082] 1.0 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 ## [15093] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 ## [15104] 10.5 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 ## [15115] 7.0 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 ## [15126] 8.0 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 ## [15137] 10.0 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 ## [15148] 7.0 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 ## [15159] 3.0 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 ## [15170] 7.0 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 ## [15181] 1.0 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 ## [15192] 0.5 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 ## [15203] 0.5 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 ## [15214] 6.0 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 ## [15225] 8.0 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 ## [15236] 7.0 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 ## [15247] 6.0 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 ## [15258] 10.0 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 ## [15269] 8.0 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 ## [15280] 9.0 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 ## [15291] 8.0 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 ## [15302] 0.5 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 ## [15313] 7.0 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 ## [15324] 6.0 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 ## [15335] 6.0 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 ## [15346] 9.0 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 ## [15357] 7.0 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 ## [15368] 1.0 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 ## [15379] 0.5 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 ## [15390] 6.0 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 ## [15401] 5.0 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 ## [15412] 7.0 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 ## [15423] 5.0 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 ## [15434] 6.0 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 ## [15445] 7.0 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 ## [15456] 10.0 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 ## [15467] 7.0 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 ## [15478] 6.0 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 ## [15489] 8.0 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 ## [15500] 4.0 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 ## [15511] 7.0 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 ## [15522] 9.0 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 ## [15533] 8.0 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 ## [15544] 5.0 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 ## [15555] 8.0 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 ## [15566] 10.0 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 ## [15577] 6.0 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 ## [15588] 1.0 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 ## [15599] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [15610] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [15621] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 ## [15632] 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [15643] 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [15654] 0.5 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 ## [15665] 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [15676] 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 ## [15687] 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [15698] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [15709] 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 ## [15720] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 ## [15731] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [15742] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [15753] 0.5 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 ## [15764] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 ## [15775] 1.0 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 ## [15786] 2.0 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 ## [15797] 4.0 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 ## [15808] 2.0 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 2.0 ## [15819] 2.0 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 2.0 ## [15830] 2.0 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 2.0 ## [15841] 5.0 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 2.0 ## [15852] 2.0 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 4.0 ## [15863] 6.0 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 2.0 ## [15874] 3.0 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 ## [15885] 4.0 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 3.0 ## [15896] 2.0 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 1.0 ## [15907] 2.0 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 2.0 ## [15918] 1.0 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 10.0 ## [15929] 10.5 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 10.5 ## [15940] 8.0 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 10.0 ## [15951] 10.5 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 23.0 ## [15962] 30.0 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 17.0 ## [15973] 18.0 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 14.0 ## [15984] 27.0 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 13.0 ## [15995] 27.0 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 19.0 ## [16006] 23.0 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 19.0 ## [16017] 24.0 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 43.0 ## [16028] 15.0 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 20.0 ## [16039] 23.0 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 29.0 ## [16050] 25.0 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 16.0 ## [16061] 23.0 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 38.0 ## [16072] 20.0 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 19.0 ## [16083] 25.0 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 21.0 ## [16094] 29.0 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 25.0 ## [16105] 29.0 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 46.0 ## [16116] 26.0 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 32.0 ## [16127] 35.0 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 14.0 ## [16138] 16.0 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 23.0 ## [16149] 41.0 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 20.0 ## [16160] 15.0 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 22.0 ## [16171] 12.0 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 13.0 ## [16182] 20.0 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 16.0 ## [16193] 23.0 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 14.0 ## [16204] 34.0 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 21.0 ## [16215] 43.0 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 40.0 ## [16226] 19.0 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 24.0 ## [16237] 46.0 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 17.0 ## [16248] 27.0 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 12.0 ## [16259] 14.0 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 12.0 ## [16270] 13.0 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 12.0 ## [16281] 14.0 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 12.0 ## [16292] 12.0 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 12.0 ## [16303] 12.0 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 15.0 ## [16314] 13.0 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 12.0 ## [16325] 17.0 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 19.0 ## [16336] 18.0 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 21.0 ## [16347] 16.0 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 35.0 ## [16358] 18.0 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 41.0 ## [16369] 13.0 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 35.0 ## [16380] 21.0 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 13.0 ## [16391] 21.0 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 13.0 ## [16402] 21.0 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 32.0 ## [16413] 14.0 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 22.0 ## [16424] 22.0 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 21.0 ## [16435] 17.0 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 13.0 ## [16446] 13.0 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 17.0 ## [16457] 24.0 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 21.0 ## [16468] 15.0 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 13.0 ## [16479] 15.0 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 33.0 ## [16490] 36.0 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 16.0 ## [16501] 18.0 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 32.0 ## [16512] 31.0 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 20.0 ## [16523] 25.0 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 14.0 ## [16534] 16.0 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 31.0 ## [16545] 28.0 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 23.0 ## [16556] 27.0 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 37.0 ## [16567] 15.0 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 38.0 ## [16578] 15.0 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 36.0 ## [16589] 32.0 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 29.0 ## [16600] 36.0 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 20.0 ## [16611] 36.0 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 43.0 ## [16622] 14.0 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 43.0 ## [16633] 42.0 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 18.0 ## [16644] 18.0 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 46.0 ## [16655] 43.0 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 40.0 ## [16666] 32.0 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 30.0 ## [16677] 36.0 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 16.0 ## [16688] 22.0 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 61.0 ## [16699] 58.0 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 50.0 ## [16710] 59.0 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 62.0 ## [16721] 49.0 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 63.0 ## [16732] 51.0 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 63.0 ## [16743] 55.0 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 50.0 ## [16754] 52.0 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 54.0 ## [16765] 51.0 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 7.0 ## [16776] 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 4.0 ## [16787] 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 6.0 ## [16798] 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 5.0 ## [16809] 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 5.0 ## [16820] 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 6.0 ## [16831] 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 7.0 ## [16842] 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 7.0 ## [16853] 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 3.0 ## [16864] 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 0.5 ## [16875] 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 0.5 ## [16886] 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 2.0 ## [16897] 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 4.0 ## [16908] 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 4.0 ## [16919] 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 2.0 ## [16930] 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 4.0 ## [16941] 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 4.0 ## [16952] 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 3.0 ## [16963] 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 5.0 ## [16974] 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 3.0 ## [16985] 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 2.0 ## [16996] 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 2.0 ## [17007] 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 7.0 ## [17018] 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 5.0 ## [17029] 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 4.0 ## [17040] 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 2.0 ## [17051] 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 5.0 ## [17062] 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 2.0 ## [17073] 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 4.0 ## [17084] 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 2.0 ## [17095] 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 3.0 ## [17106] 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 2.0 ## [17117] 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 2.0 ## [17128] 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 2.0 ## [17139] 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 3.0 ## [17150] 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 2.0 ## [17161] 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 2.0 ## [17172] 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 3.0 ## [17183] 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 4.0 ## [17194] 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 3.0 ## [17205] 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 3.0 ## [17216] 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 4.0 ## [17227] 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 2.0 ## [17238] 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 3.0 ## [17249] 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 3.0 ## [17260] 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 3.0 ## [17271] 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 5.0 ## [17282] 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 1.0 ## [17293] 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 1.0 ## [17304] 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 0.5 ## [17315] 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [17326] 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 0.5 ## [17337] 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 ## [17348] 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 ## [17359] 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 1.0 ## [17370] 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 1.0 ## [17381] 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 1.0 ## [17392] 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [17403] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [17414] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [17425] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [17436] 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [17447] 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [17458] 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 ## [17469] 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [17480] 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 1.0 ## [17491] 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 9.0 ## [17502] 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 8.0 ## [17513] 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 9.0 ## [17524] 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 6.0 ## [17535] 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 7.0 ## [17546] 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 7.0 ## [17557] 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 1.0 ## [17568] 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 4.0 ## [17579] 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 5.0 ## [17590] 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 5.0 ## [17601] 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 7.0 ## [17612] 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 10.5 ## [17623] 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 8.0 ## [17634] 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 7.0 ## [17645] 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 0.5 ## [17656] 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 4.0 ## [17667] 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 5.0 ## [17678] 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 6.0 ## [17689] 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 10.0 ## [17700] 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 8.0 ## [17711] 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 9.0 ## [17722] 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 8.0 ## [17733] 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 4.0 ## [17744] 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 1.0 ## [17755] 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 7.0 ## [17766] 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 7.0 ## [17777] 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 10.0 ## [17788] 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 6.0 ## [17799] 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 7.0 ## [17810] 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 0.5 ## [17821] 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 6.0 ## [17832] 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 10.5 ## [17843] 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 7.0 ## [17854] 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 6.0 ## [17865] 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 8.0 ## [17876] 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 1.0 ## [17887] 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 1.0 ## [17898] 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 8.0 ## [17909] 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 7.0 ## [17920] 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 6.0 ## [17931] 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 4.0 ## [17942] 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 5.0 ## [17953] 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 6.0 ## [17964] 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 1.0 ## [17975] 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 7.0 ## [17986] 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [17997] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.5 ## [18008] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [18019] 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [18030] 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [18041] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 ## [18052] 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [18063] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [18074] 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [18085] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [18096] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 ## [18107] 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [18118] 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [18129] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [18140] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [18151] 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 1.0 ## [18162] 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 2.0 ## [18173] 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 2.0 ## [18184] 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 2.0 ## [18195] 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 1.0 ## [18206] 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 2.0 2.0 2.0 ## [18217] 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 2.0 2.0 4.0 ## [18228] 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 2.0 5.0 2.0 ## [18239] 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 2.0 2.0 5.0 ## [18250] 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 4.0 6.0 2.0 ## [18261] 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 2.0 3.0 1.0 ## [18272] 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 4.0 3.0 ## [18283] 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 3.0 2.0 6.0 ## [18294] 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 1.0 2.0 4.0 ## [18305] 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 2.0 1.0 4.0 ## [18316] 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 10.0 10.5 10.0 ## [18327] 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 10.5 8.0 10.5 ## [18338] 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 10.0 10.5 10.5 ## [18349] 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 23.0 30.0 27.0 ## [18360] 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 17.0 18.0 21.0 ## [18371] 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 14.0 27.0 25.0 ## [18382] 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 13.0 27.0 31.0 ## [18393] 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 19.0 23.0 16.0 ## [18404] 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 19.0 24.0 25.0 ## [18415] 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 43.0 15.0 34.0 ## [18426] 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 20.0 23.0 33.0 ## [18437] 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 29.0 25.0 45.0 ## [18448] 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 16.0 23.0 25.0 ## [18459] 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 38.0 20.0 30.0 ## [18470] 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 19.0 25.0 38.0 ## [18481] 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 21.0 29.0 44.0 ## [18492] 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 25.0 29.0 36.0 ## [18503] 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 46.0 26.0 39.0 ## [18514] 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 32.0 35.0 22.0 ## [18525] 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 14.0 16.0 19.0 ## [18536] 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 23.0 41.0 23.0 ## [18547] 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 20.0 15.0 16.0 ## [18558] 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 22.0 12.0 13.0 ## [18569] 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 13.0 20.0 19.0 ## [18580] 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 16.0 23.0 43.0 ## [18591] 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 14.0 34.0 32.0 ## [18602] 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 21.0 43.0 17.0 ## [18613] 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 40.0 19.0 43.0 ## [18624] 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 24.0 46.0 41.0 ## [18635] 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 17.0 27.0 11.0 ## [18646] 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 12.0 14.0 13.0 ## [18657] 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 12.0 13.0 12.0 ## [18668] 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 12.0 14.0 14.0 ## [18679] 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 12.0 12.0 12.0 ## [18690] 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 12.0 12.0 16.0 ## [18701] 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 15.0 13.0 12.0 ## [18712] 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 12.0 17.0 14.0 ## [18723] 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 19.0 18.0 24.0 ## [18734] 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 21.0 16.0 18.0 ## [18745] 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 35.0 18.0 19.0 ## [18756] 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 41.0 13.0 20.0 ## [18767] 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 35.0 21.0 21.0 ## [18778] 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 13.0 21.0 15.0 ## [18789] 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 13.0 21.0 22.0 ## [18800] 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 32.0 14.0 12.0 ## [18811] 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 22.0 22.0 20.0 ## [18822] 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 21.0 17.0 18.0 ## [18833] 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 13.0 13.0 14.0 ## [18844] 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 17.0 24.0 21.0 ## [18855] 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 21.0 15.0 23.0 ## [18866] 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 13.0 15.0 12.0 ## [18877] 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 33.0 36.0 42.0 ## [18888] 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 16.0 18.0 16.0 ## [18899] 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 32.0 31.0 32.0 ## [18910] 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 20.0 25.0 38.0 ## [18921] 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 14.0 16.0 19.0 ## [18932] 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 31.0 28.0 14.0 ## [18943] 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 23.0 27.0 24.0 ## [18954] 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 37.0 15.0 19.0 ## [18965] 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 38.0 15.0 18.0 ## [18976] 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 36.0 32.0 38.0 ## [18987] 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 29.0 36.0 48.0 ## [18998] 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 20.0 36.0 48.0 ## [19009] 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 43.0 14.0 13.0 ## [19020] 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 43.0 42.0 14.0 ## [19031] 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 18.0 18.0 23.0 ## [19042] 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 46.0 43.0 13.0 ## [19053] 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 40.0 32.0 27.0 ## [19064] 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 30.0 36.0 37.0 ## [19075] 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 16.0 22.0 21.0 ## [19086] 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 61.0 58.0 57.0 ## [19097] 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 50.0 59.0 94.0 ## [19108] 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 62.0 49.0 53.0 ## [19119] 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 63.0 51.0 76.0 ## [19130] 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 63.0 55.0 65.0 ## [19141] 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 50.0 52.0 54.0 ## [19152] 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 54.0 51.0 63.0 ## [19163] 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 7.0 5.0 7.0 ## [19174] 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 4.0 7.0 5.0 ## [19185] 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 6.0 6.0 7.0 ## [19196] 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 5.0 6.0 9.0 ## [19207] 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 5.0 8.0 5.0 ## [19218] 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 6.0 10.0 8.0 ## [19229] 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 7.0 4.0 5.0 ## [19240] 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 7.0 4.0 2.0 ## [19251] 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 3.0 9.0 8.0 ## [19262] 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 0.5 9.0 8.0 ## [19273] 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 0.5 0.5 0.5 ## [19284] 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 2.0 3.0 2.0 ## [19295] 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 4.0 4.0 5.0 ## [19306] 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 4.0 3.0 4.0 ## [19317] 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 2.0 2.0 2.0 ## [19328] 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 4.0 3.0 2.0 ## [19339] 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 4.0 5.0 2.0 ## [19350] 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 3.0 5.0 4.0 ## [19361] 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 5.0 3.0 4.0 ## [19372] 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 3.0 2.0 3.0 ## [19383] 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 2.0 3.0 4.0 ## [19394] 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 2.0 2.0 2.0 ## [19405] 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 7.0 4.0 5.0 ## [19416] 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 5.0 3.0 2.0 ## [19427] 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 4.0 2.0 1.0 ## [19438] 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 2.0 1.0 2.0 ## [19449] 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 5.0 3.0 4.0 ## [19460] 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 2.0 2.0 1.0 ## [19471] 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 4.0 5.0 3.0 ## [19482] 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 2.0 2.0 2.0 ## [19493] 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 3.0 4.0 2.0 ## [19504] 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 2.0 1.0 2.0 ## [19515] 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 2.0 2.0 2.0 ## [19526] 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 2.0 3.0 4.0 ## [19537] 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 3.0 1.0 2.0 ## [19548] 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 2.0 3.0 2.0 ## [19559] 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 2.0 3.0 2.0 ## [19570] 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 3.0 5.0 2.0 ## [19581] 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 4.0 4.0 3.0 ## [19592] 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 3.0 2.0 3.0 ## [19603] 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 3.0 4.0 4.0 ## [19614] 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 4.0 5.0 2.0 ## [19625] 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 2.0 1.0 5.0 ## [19636] 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 3.0 4.0 2.0 ## [19647] 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0 ## [19658] 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 3.0 5.0 3.0 ## [19669] 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 5.0 2.0 3.0 ## [19680] 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 1.0 1.0 1.0 ## [19691] 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 1.0 1.0 0.5 ## [19702] 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 0.5 2.0 0.5 ## [19713] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 0.5 ## [19724] 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 0.5 0.5 0.5 ## [19735] 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [19746] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 ## [19757] 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 1.0 2.0 1.0 ## [19768] 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 1.0 ## [19779] 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 1.0 0.5 1.0 ## [19790] 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [19801] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [19812] 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 1.0 ## [19823] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 ## [19834] 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [19845] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 1.0 ## [19856] 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 ## [19867] 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 2.0 1.0 ## [19878] 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 ## [19889] 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 9.0 6.0 5.0 ## [19900] 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 8.0 5.0 4.0 ## [19911] 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 9.0 9.0 10.0 ## [19922] 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 6.0 8.0 7.0 ## [19933] 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 7.0 6.0 7.0 ## [19944] 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 7.0 7.0 1.0 ## [19955] 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 1.0 9.0 10.0 ## [19966] 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 4.0 8.0 6.0 ## [19977] 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 5.0 5.0 7.0 ## [19988] 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 5.0 8.0 8.0 ## [19999] 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 7.0 8.0 7.0 ## [20010] 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 10.5 8.0 10.0 ## [20021] 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 8.0 5.0 6.0 ## [20032] 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 7.0 0.5 8.0 ## [20043] 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 0.5 8.0 5.0 ## [20054] 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 4.0 7.0 7.0 ## [20065] 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 5.0 5.0 7.0 ## [20076] 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 6.0 9.0 0.5 ## [20087] 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 10.0 7.0 8.0 ## [20098] 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 8.0 4.0 6.0 ## [20109] 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 9.0 7.0 10.0 ## [20120] 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 8.0 6.0 1.0 ## [20131] 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 4.0 0.5 10.0 ## [20142] 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 1.0 7.0 7.0 ## [20153] 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 7.0 7.0 9.0 ## [20164] 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 7.0 5.0 6.0 ## [20175] 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 10.0 5.0 8.0 ## [20186] 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 6.0 10.5 1.0 ## [20197] 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 7.0 0.5 9.0 ## [20208] 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 0.5 7.0 10.0 ## [20219] 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 6.0 6.0 8.0 ## [20230] 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 10.5 10.5 9.0 ## [20241] 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 7.0 5.0 7.0 ## [20252] 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 6.0 9.0 0.5 ## [20263] 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 8.0 1.0 8.0 ## [20274] 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 1.0 9.0 7.0 ## [20285] 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 1.0 9.0 9.0 ## [20296] 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 8.0 8.0 9.0 ## [20307] 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 7.0 10.0 5.0 ## [20318] 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 6.0 6.0 6.0 ## [20329] 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 4.0 10.0 3.0 ## [20340] 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 5.0 5.0 6.0 ## [20351] 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 6.0 8.0 9.0 ## [20362] 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 1.0 8.0 10.5 ## [20373] 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 7.0 6.0 4.0 ## [20384] 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [20395] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [20406] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [20417] 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [20428] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [20439] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 0.5 1.0 ## [20450] 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [20461] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [20472] 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 ## [20483] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [20494] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 ## [20505] 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [20516] 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [20527] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [20538] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 1.0 ## [20549] 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 1.0 1.0 0.5 ## [20560] 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 2.0 2.0 3.0 ## [20571] 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 2.0 2.0 3.0 ## [20582] 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 2.0 2.0 3.0 ## [20593] 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 1.0 3.0 3.0 ## [20604] 2.0 2.0 6.0 1.0 3.0 4.0 2.0 2.0 2.0 2.0 4.0 ## [20615] 3.0 2.0 3.0 2.0 2.0 2.0 2.0 2.0 4.0 2.0 2.0 ## [20626] 3.0 4.0 2.0 2.0 2.0 3.0 2.0 5.0 2.0 1.0 1.0 ## [20637] 2.0 2.0 2.0 3.0 3.0 4.0 2.0 2.0 5.0 6.0 3.0 ## [20648] 3.0 3.0 2.0 4.0 2.0 2.0 4.0 6.0 2.0 1.0 2.0 ## [20659] 2.0 1.0 1.0 3.0 2.0 5.0 2.0 3.0 1.0 3.0 2.0 ## [20670] 3.0 3.0 3.0 3.0 1.0 1.0 2.0 4.0 3.0 2.0 2.0 ## [20681] 2.0 3.0 1.0 2.0 2.0 1.0 3.0 2.0 6.0 4.0 5.0 ## [20692] 3.0 1.0 1.0 3.0 2.0 1.0 1.0 2.0 4.0 2.0 3.0 ## [20703] 2.0 2.0 2.0 1.0 2.0 1.0 2.0 1.0 4.0 2.0 1.0 ## [20714] 2.0 4.0 2.0 9.0 10.5 10.5 10.0 10.5 10.0 6.0 8.0 ## [20725] 10.0 9.0 10.5 10.0 10.5 10.0 10.5 8.0 10.5 10.0 10.5 ## [20736] 10.5 10.5 10.0 10.0 10.0 10.0 10.0 10.5 10.5 13.0 12.0 ## [20747] 14.0 14.0 11.0 13.0 14.0 22.0 23.0 30.0 27.0 18.0 23.0 ## [20758] 27.0 29.0 35.0 34.0 29.0 27.0 17.0 18.0 21.0 23.0 24.0 ## [20769] 27.0 35.0 42.0 14.0 15.0 24.0 14.0 27.0 25.0 24.0 28.0 ## [20780] 42.0 30.0 43.0 22.0 26.0 40.0 13.0 27.0 31.0 41.0 41.0 ## [20791] 46.0 12.0 47.0 26.0 38.0 18.0 19.0 23.0 16.0 14.0 23.0 ## [20802] 27.0 13.0 18.0 14.0 21.0 18.0 19.0 24.0 25.0 15.0 22.0 ## [20813] 23.0 27.0 25.0 36.0 33.0 38.0 43.0 15.0 34.0 46.0 40.0 ## [20824] 13.0 15.0 17.0 19.0 22.0 14.0 20.0 23.0 33.0 36.0 34.0 ## [20835] 16.0 16.0 15.0 26.0 27.0 14.0 29.0 25.0 45.0 46.0 17.0 ## [20846] 16.0 12.0 15.0 18.0 16.0 21.0 16.0 23.0 25.0 35.0 32.0 ## [20857] 47.0 12.0 22.0 15.0 13.0 20.0 38.0 20.0 30.0 23.0 18.0 ## [20868] 34.0 26.0 22.0 20.0 19.0 15.0 19.0 25.0 38.0 20.0 12.0 ## [20879] 12.0 12.0 12.0 21.0 22.0 23.0 21.0 29.0 44.0 13.0 22.0 ## [20890] 12.0 15.0 13.0 18.0 21.0 31.0 25.0 29.0 36.0 47.0 22.0 ## [20901] 19.0 29.0 29.0 38.0 36.0 18.0 46.0 26.0 39.0 14.0 18.0 ## [20912] 17.0 30.0 37.0 22.0 16.0 27.0 32.0 35.0 22.0 23.0 18.0 ## [20923] 47.0 19.0 14.0 43.0 14.0 12.0 14.0 16.0 19.0 27.0 44.0 ## [20934] 18.0 15.0 30.0 37.0 31.0 33.0 23.0 41.0 23.0 43.0 13.0 ## [20945] 13.0 16.0 20.0 16.0 11.0 17.0 20.0 15.0 16.0 34.0 17.0 ## [20956] 17.0 25.0 13.0 13.0 30.0 14.0 22.0 12.0 13.0 17.0 27.0 ## [20967] 14.0 38.0 12.0 13.0 27.0 33.0 13.0 20.0 19.0 28.0 14.0 ## [20978] 37.0 41.0 39.0 12.0 18.0 14.0 16.0 23.0 43.0 16.0 14.0 ## [20989] 16.0 12.0 26.0 19.0 19.0 21.0 14.0 34.0 32.0 15.0 45.0 ## [21000] 34.0 22.0 32.0 22.0 39.0 24.0 21.0 43.0 17.0 17.0 23.0 ## [21011] 18.0 15.0 23.0 15.0 19.0 22.0 40.0 19.0 43.0 12.0 21.0 ## [21022] 15.0 29.0 15.0 22.0 19.0 22.0 24.0 46.0 41.0 21.0 12.0 ## [21033] 13.0 27.0 19.0 22.0 18.0 15.0 17.0 27.0 11.0 21.0 26.0 ## [21044] 23.0 45.0 12.0 17.0 12.0 12.0 12.0 14.0 13.0 13.0 15.0 ## [21055] 12.0 15.0 13.0 12.0 13.0 13.0 12.0 13.0 12.0 13.0 13.0 ## [21066] 12.0 12.0 12.0 12.0 13.0 12.0 12.0 14.0 14.0 14.0 12.0 ## [21077] 11.0 13.0 12.0 14.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 ## [21088] 16.0 13.0 11.0 13.0 13.0 14.0 12.0 12.0 16.0 12.0 12.0 ## [21099] 13.0 12.0 12.0 16.0 13.0 12.0 15.0 13.0 12.0 16.0 16.0 ## [21110] 11.0 14.0 13.0 18.0 13.0 16.0 12.0 17.0 14.0 16.0 13.0 ## [21121] 15.0 12.0 13.0 14.0 14.0 17.0 19.0 18.0 24.0 14.0 13.0 ## [21132] 15.0 22.0 20.0 19.0 19.0 22.0 21.0 16.0 18.0 17.0 32.0 ## [21143] 12.0 15.0 15.0 20.0 19.0 34.0 35.0 18.0 19.0 12.0 16.0 ## [21154] 14.0 14.0 21.0 21.0 27.0 14.0 41.0 13.0 20.0 40.0 12.0 ## [21165] 12.0 16.0 16.0 24.0 20.0 16.0 35.0 21.0 21.0 21.0 15.0 ## [21176] 25.0 24.0 26.0 34.0 15.0 15.0 13.0 21.0 15.0 18.0 25.0 ## [21187] 16.0 21.0 16.0 14.0 13.0 17.0 13.0 21.0 22.0 26.0 30.0 ## [21198] 42.0 17.0 20.0 21.0 23.0 26.0 32.0 14.0 12.0 11.0 20.0 ## [21209] 16.0 17.0 12.0 14.0 15.0 12.0 22.0 22.0 20.0 23.0 19.0 ## [21220] 21.0 24.0 25.0 28.0 30.0 14.0 21.0 17.0 18.0 16.0 18.0 ## [21231] 15.0 24.0 17.0 20.0 12.0 15.0 13.0 13.0 14.0 20.0 12.0 ## [21242] 20.0 20.0 19.0 16.0 19.0 25.0 17.0 24.0 21.0 19.0 27.0 ## [21253] 27.0 33.0 40.0 35.0 41.0 14.0 21.0 15.0 23.0 16.0 15.0 ## [21264] 18.0 34.0 29.0 27.0 32.0 43.0 13.0 15.0 12.0 11.0 19.0 ## [21275] 21.0 21.0 29.0 33.0 32.0 29.0 33.0 36.0 42.0 17.0 24.0 ## [21286] 17.0 24.0 12.0 14.0 14.0 15.0 16.0 18.0 16.0 17.0 19.0 ## [21297] 24.0 28.0 24.0 23.0 30.0 23.0 32.0 31.0 32.0 47.0 18.0 ## [21308] 27.0 21.0 19.0 32.0 33.0 38.0 20.0 25.0 38.0 18.0 20.0 ## [21319] 43.0 46.0 13.0 12.0 14.0 16.0 14.0 16.0 19.0 19.0 16.0 ## [21330] 19.0 32.0 23.0 20.0 24.0 23.0 31.0 28.0 14.0 17.0 14.0 ## [21341] 12.0 26.0 13.0 13.0 17.0 16.0 23.0 27.0 24.0 22.0 24.0 ## [21352] 25.0 22.0 22.0 28.0 30.0 40.0 37.0 15.0 19.0 16.0 28.0 ## [21363] 35.0 32.0 36.0 34.0 33.0 39.0 38.0 15.0 18.0 14.0 15.0 ## [21374] 22.0 26.0 33.0 23.0 17.0 24.0 36.0 32.0 38.0 14.0 17.0 ## [21385] 12.0 14.0 13.0 16.0 18.0 26.0 29.0 36.0 48.0 12.0 17.0 ## [21396] 19.0 26.0 23.0 28.0 29.0 37.0 20.0 36.0 48.0 15.0 18.0 ## [21407] 17.0 27.0 26.0 34.0 15.0 31.0 43.0 14.0 13.0 31.0 18.0 ## [21418] 15.0 18.0 20.0 22.0 35.0 29.0 43.0 42.0 14.0 18.0 31.0 ## [21429] 13.0 12.0 12.0 20.0 19.0 18.0 18.0 18.0 23.0 21.0 23.0 ## [21440] 24.0 25.0 21.0 28.0 42.0 27.0 46.0 43.0 13.0 17.0 16.0 ## [21451] 16.0 13.0 18.0 14.0 22.0 20.0 40.0 32.0 27.0 31.0 19.0 ## [21462] 31.0 31.0 41.0 39.0 32.0 45.0 30.0 36.0 37.0 36.0 15.0 ## [21473] 12.0 18.0 12.0 13.0 14.0 16.0 16.0 22.0 21.0 61.0 62.0 ## [21484] 77.0 52.0 63.0 58.0 52.0 50.0 61.0 58.0 57.0 83.0 82.0 ## [21495] 54.0 62.0 152.0 57.0 55.0 70.0 50.0 59.0 94.0 138.0 54.0 ## [21506] 305.0 64.0 59.0 84.0 59.0 99.0 62.0 49.0 53.0 52.0 142.0 ## [21517] 58.0 104.0 62.0 105.0 49.0 107.0 63.0 51.0 76.0 50.0 83.0 ## [21528] 112.0 49.0 94.0 56.0 50.0 77.0 63.0 55.0 65.0 68.0 196.0 ## [21539] 58.0 68.0 56.0 50.0 109.0 73.0 50.0 52.0 54.0 107.0 51.0 ## [21550] 83.0 64.0 70.0 55.0 62.0 72.0 54.0 51.0 63.0 51.0 50.0 ## [21561] 54.0 67.0 169.0 176.0 3.0 4.0 7.0 5.0 7.0 3.0 10.5 ## [21572] 10.0 5.0 5.0 6.0 7.0 7.0 4.0 7.0 5.0 4.0 5.0 ## [21583] 5.0 7.0 8.0 6.0 9.0 7.0 6.0 6.0 7.0 9.0 4.0 ## [21594] 5.0 6.0 6.0 5.0 5.0 6.0 5.0 6.0 9.0 5.0 10.5 ## [21605] 5.0 8.0 8.0 5.0 6.0 5.0 5.0 8.0 5.0 8.0 7.0 ## [21616] 6.0 5.0 4.0 5.0 5.0 10.5 6.0 10.0 8.0 5.0 9.0 ## [21627] 5.0 10.0 5.0 7.0 4.0 5.0 7.0 4.0 5.0 5.0 4.0 ## [21638] 7.0 7.0 4.0 7.0 1.0 4.0 7.0 4.0 2.0 2.0 10.5 ## [21649] 10.5 9.0 10.5 10.5 10.5 9.0 3.0 9.0 8.0 10.0 10.5 ## [21660] 10.0 6.0 10.5 10.0 10.5 8.0 0.5 9.0 8.0 6.0 0.5 ## [21671] 9.0 0.5 8.0 1.0 10.0 0.5 0.5 0.5 0.5 10.5 1.0 ## [21682] 8.0 0.5 0.5 0.5 3.0 4.0 2.0 3.0 2.0 3.0 3.0 ## [21693] 4.0 1.0 2.0 4.0 3.0 5.0 4.0 4.0 5.0 5.0 1.0 ## [21704] 2.0 1.0 3.0 2.0 3.0 2.0 4.0 3.0 4.0 5.0 6.0 ## [21715] 6.0 0.5 4.0 4.0 2.0 4.0 2.0 2.0 2.0 1.0 2.0 ## [21726] 4.0 0.5 4.0 4.0 4.0 5.0 4.0 3.0 2.0 3.0 4.0 ## [21737] 2.0 0.5 4.0 2.0 4.0 4.0 4.0 5.0 2.0 2.0 1.0 ## [21748] 1.0 0.5 1.0 3.0 4.0 2.0 3.0 5.0 4.0 5.0 4.0 ## [21759] 2.0 0.5 2.0 1.0 3.0 4.0 5.0 3.0 4.0 4.0 3.0 ## [21770] 2.0 0.5 1.0 3.0 4.0 1.0 3.0 2.0 3.0 4.0 6.0 ## [21781] 5.0 1.0 1.0 6.0 3.0 2.0 2.0 3.0 4.0 3.0 3.0 ## [21792] 6.0 0.5 2.0 2.0 2.0 1.0 2.0 2.0 2.0 2.0 3.0 ## [21803] 3.0 0.5 3.0 5.0 4.0 4.0 7.0 4.0 5.0 5.0 4.0 ## [21814] 10.0 0.5 5.0 2.0 3.0 3.0 5.0 3.0 2.0 4.0 4.0 ## [21825] 1.0 0.5 3.0 3.0 4.0 5.0 4.0 2.0 1.0 3.0 2.0 ## [21836] 1.0 0.5 3.0 3.0 6.0 4.0 2.0 1.0 2.0 4.0 3.0 ## [21847] 3.0 0.5 1.0 2.0 2.0 3.0 5.0 3.0 4.0 3.0 1.0 ## [21858] 5.0 0.5 2.0 3.0 2.0 2.0 2.0 2.0 1.0 4.0 5.0 ## [21869] 2.0 0.5 1.0 2.0 2.0 3.0 4.0 5.0 3.0 2.0 3.0 ## [21880] 2.0 1.0 2.0 5.0 2.0 1.0 2.0 2.0 2.0 1.0 6.0 ## [21891] 4.0 1.0 5.0 5.0 1.0 4.0 3.0 4.0 2.0 1.0 2.0 ## [21902] 3.0 1.0 4.0 3.0 3.0 5.0 2.0 1.0 2.0 1.0 3.0 ## [21913] 4.0 0.5 3.0 4.0 1.0 4.0 2.0 2.0 2.0 2.0 2.0 ## [21924] 2.0 0.5 3.0 3.0 2.0 3.0 2.0 3.0 4.0 3.0 1.0 ## [21935] 2.0 0.5 3.0 4.0 3.0 6.0 3.0 1.0 2.0 3.0 4.0 ## [21946] 5.0 1.0 3.0 3.0 3.0 2.0 2.0 3.0 2.0 4.0 4.0 ## [21957] 2.0 0.5 3.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 6.0 ## [21968] 3.0 0.5 4.0 3.0 5.0 3.0 3.0 5.0 2.0 2.0 3.0 ## [21979] 3.0 1.0 1.0 4.0 4.0 2.0 4.0 4.0 3.0 4.0 4.0 ## [21990] 2.0 1.0 3.0 1.0 2.0 4.0 3.0 2.0 3.0 4.0 4.0 ## [22001] 2.0 1.0 3.0 3.0 2.0 5.0 3.0 4.0 4.0 3.0 4.0 ## [22012] 3.0 0.5 2.0 2.0 3.0 5.0 4.0 5.0 2.0 2.0 3.0 ## [22023] 4.0 0.5 3.0 2.0 2.0 2.0 2.0 1.0 5.0 5.0 7.0 ## [22034] 2.0 0.5 2.0 1.0 6.0 2.0 3.0 4.0 2.0 2.0 3.0 ## [22045] 3.0 1.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0 3.0 5.0 ## [22056] 3.0 0.5 2.0 2.0 3.0 2.0 3.0 5.0 3.0 2.0 2.0 ## [22067] 2.0 0.5 2.0 2.0 3.0 4.0 5.0 2.0 3.0 4.0 0.5 ## [22078] 1.0 0.5 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 1.0 ## [22089] 1.0 0.5 2.0 1.0 2.0 2.0 1.0 1.0 0.5 1.0 1.0 ## [22100] 2.0 0.5 0.5 1.0 1.0 0.5 0.5 2.0 0.5 0.5 1.0 ## [22111] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 0.5 1.0 0.5 ## [22122] 0.5 0.5 1.0 1.0 2.0 0.5 0.5 0.5 0.5 2.0 0.5 ## [22133] 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [22144] 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 2.0 1.0 ## [22155] 1.0 0.5 1.0 1.0 1.0 0.5 1.0 2.0 1.0 1.0 1.0 ## [22166] 2.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [22177] 1.0 0.5 1.0 1.0 1.0 2.0 1.0 0.5 1.0 0.5 0.5 ## [22188] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [22199] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [22210] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 1.0 1.0 1.0 ## [22221] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 1.0 0.5 ## [22232] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [22243] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 1.0 1.0 1.0 ## [22254] 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 ## [22265] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 2.0 1.0 1.0 1.0 ## [22276] 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [22287] 1.0 0.5 4.0 9.0 6.0 10.5 9.0 6.0 5.0 5.0 8.0 ## [22298] 7.0 0.5 9.0 10.0 10.5 7.0 8.0 5.0 4.0 6.0 6.0 ## [22309] 6.0 0.5 8.0 6.0 10.5 8.0 9.0 9.0 10.0 4.0 0.5 ## [22320] 5.0 10.0 10.0 6.0 8.0 10.0 6.0 8.0 7.0 7.0 1.0 ## [22331] 8.0 7.0 7.0 9.0 7.0 7.0 7.0 6.0 7.0 0.5 6.0 ## [22342] 7.0 7.0 9.0 10.0 4.0 3.0 7.0 7.0 1.0 9.0 5.0 ## [22353] 6.0 5.0 7.0 6.0 4.0 7.0 1.0 9.0 10.0 9.0 10.5 ## [22364] 5.0 8.0 10.0 10.0 10.5 1.0 4.0 8.0 6.0 7.0 9.0 ## [22375] 10.0 8.0 10.5 3.0 6.0 0.5 5.0 5.0 7.0 10.5 7.0 ## [22386] 8.0 8.0 6.0 10.0 10.0 0.5 5.0 8.0 8.0 8.0 10.0 ## [22397] 3.0 10.0 6.0 5.0 0.5 6.0 7.0 8.0 7.0 8.0 7.0 ## [22408] 7.0 7.0 6.0 8.0 1.0 8.0 10.5 8.0 10.0 6.0 4.0 ## [22419] 9.0 8.0 10.5 1.0 9.0 7.0 8.0 5.0 6.0 0.5 4.0 ## [22430] 6.0 10.0 6.0 6.0 9.0 6.0 7.0 0.5 8.0 7.0 9.0 ## [22441] 8.0 9.0 10.5 10.0 9.0 10.0 0.5 8.0 5.0 7.0 7.0 ## [22452] 8.0 6.0 10.0 0.5 8.0 8.0 4.0 7.0 7.0 10.0 7.0 ## [22463] 0.5 8.0 5.0 6.0 8.0 9.0 5.0 5.0 7.0 1.0 7.0 ## [22474] 6.0 8.0 8.0 4.0 7.0 8.0 6.0 9.0 0.5 10.5 10.0 ## [22485] 10.0 7.0 10.0 10.5 8.0 0.5 10.0 7.0 8.0 8.0 5.0 ## [22496] 10.0 10.5 9.0 0.5 7.0 7.0 8.0 4.0 6.0 7.0 10.0 ## [22507] 7.0 1.0 10.0 10.0 5.0 6.0 9.0 7.0 10.0 10.0 1.0 ## [22518] 5.0 9.0 7.0 6.0 9.0 6.0 8.0 6.0 1.0 9.0 5.0 ## [22529] 6.0 6.0 5.0 9.0 10.0 9.0 4.0 0.5 10.0 7.0 6.0 ## [22540] 7.0 10.0 10.0 10.5 10.0 7.0 1.0 7.0 7.0 9.0 9.0 ## [22551] 10.0 9.0 10.5 6.0 10.0 1.0 7.0 7.0 9.0 6.0 10.5 ## [22562] 5.0 7.0 9.0 9.0 2.0 0.5 7.0 5.0 6.0 8.0 10.5 ## [22573] 7.0 10.5 1.0 5.0 6.0 6.0 10.0 5.0 8.0 6.0 7.0 ## [22584] 0.5 10.0 5.0 10.0 9.0 5.0 6.0 10.5 1.0 8.0 6.0 ## [22595] 6.0 8.0 8.0 8.0 5.0 7.0 7.0 0.5 9.0 5.0 8.0 ## [22606] 7.0 10.0 8.0 8.0 6.0 5.0 0.5 7.0 10.0 5.0 5.0 ## [22617] 5.0 8.0 4.0 0.5 5.0 6.0 6.0 6.0 8.0 9.0 7.0 ## [22628] 10.5 6.0 0.5 6.0 3.0 7.0 10.5 10.5 9.0 9.0 4.0 ## [22639] 7.0 6.0 0.5 8.0 5.0 10.0 7.0 5.0 7.0 10.0 0.5 ## [22650] 8.0 8.0 9.0 10.5 10.0 7.0 6.0 9.0 0.5 8.0 5.0 ## [22661] 5.0 8.0 8.0 7.0 6.0 6.0 8.0 1.0 8.0 5.0 7.0 ## [22672] 2.0 8.0 7.0 10.5 7.0 8.0 1.0 9.0 7.0 9.0 9.0 ## [22683] 9.0 6.0 9.0 7.0 4.0 4.0 1.0 9.0 9.0 10.0 10.0 ## [22694] 5.0 5.0 10.5 0.5 4.0 7.0 8.0 8.0 9.0 9.0 7.0 ## [22705] 8.0 7.0 7.0 0.5 7.0 9.0 7.0 10.0 5.0 7.0 8.0 ## [22716] 10.0 8.0 0.5 5.0 2.0 8.0 6.0 6.0 6.0 8.0 8.0 ## [22727] 0.5 8.0 7.0 9.0 6.0 5.0 4.0 10.0 3.0 6.0 0.5 ## [22738] 6.0 9.0 10.5 3.0 8.0 8.0 5.0 5.0 6.0 0.5 9.0 ## [22749] 9.0 6.0 9.0 7.0 6.0 10.0 6.0 8.0 9.0 1.0 5.0 ## [22760] 7.0 10.0 9.0 5.0 10.5 6.0 1.0 8.0 10.5 10.5 5.0 ## [22771] 6.0 5.0 7.0 8.0 8.0 1.0 7.0 6.0 4.0 7.0 9.0 ## [22782] 7.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [22793] 0.5 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [22804] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [22815] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 ## [22826] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 ## [22837] 0.5 0.5 1.0 1.0 1.0 0.5 1.0 0.5 1.0 0.5 0.5 ## [22848] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 ## [22859] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 ## [22870] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 ## [22881] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [22892] 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 0.5 1.0 ## [22903] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [22914] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [22925] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [22936] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 1.0 1.0 1.0 ## [22947] 0.5 0.5 0.5 1.0 0.5 0.5 1.0 1.0 0.5 1.0 0.5 ## [22958] 0.5 1.0 0.5 2.0 2.0 1.0 2.0 2.0 3.0 2.0 4.0 ## [22969] 4.0 1.0 4.0 3.0 3.0 2.0 2.0 2.0 3.0 3.0 3.0 ## [22980] 1.0 2.0 3.0 3.0 3.0 4.0 2.0 2.0 3.0 2.0 2.0 ## [22991] 2.0 1.0 3.0 3.0 1.0 2.0 1.0 3.0 3.0 2.0 2.0 ## [23002] 6.0 1.0 3.0 4.0 2.0 2.0 2.0 2.0 4.0 3.0 2.0 ## [23013] 3.0 2.0 2.0 2.0 2.0 2.0 4.0 2.0 2.0 3.0 4.0 ## [23024] 2.0 2.0 2.0 3.0 2.0 5.0 2.0 1.0 1.0 2.0 2.0 ## [23035] 2.0 3.0 3.0 4.0 2.0 2.0 5.0 6.0 3.0 3.0 3.0 ## [23046] 2.0 4.0 2.0 2.0 4.0 6.0 2.0 1.0 2.0 2.0 1.0 ## [23057] 1.0 3.0 2.0 5.0 2.0 3.0 1.0 3.0 2.0 3.0 3.0 ## [23068] 3.0 3.0 1.0 1.0 2.0 4.0 3.0 2.0 2.0 2.0 3.0 ## [23079] 1.0 2.0 2.0 1.0 3.0 2.0 6.0 4.0 5.0 3.0 1.0 ## [23090] 1.0 3.0 2.0 1.0 1.0 2.0 4.0 2.0 3.0 2.0 2.0 ## [23101] 2.0 1.0 2.0 1.0 2.0 1.0 4.0 2.0 1.0 2.0 4.0 ## [23112] 2.0 9.0 10.5 10.5 10.0 10.5 10.0 6.0 8.0 10.0 9.0 ## [23123] 10.5 10.0 10.5 10.0 10.5 8.0 10.5 10.0 10.5 10.5 10.5 ## [23134] 10.0 10.0 10.0 10.0 10.0 10.5 10.5 13.0 12.0 14.0 14.0 ## [23145] 11.0 13.0 14.0 22.0 23.0 30.0 27.0 18.0 23.0 27.0 29.0 ## [23156] 35.0 34.0 29.0 27.0 17.0 18.0 21.0 23.0 24.0 27.0 35.0 ## [23167] 42.0 14.0 15.0 24.0 14.0 27.0 25.0 24.0 28.0 42.0 30.0 ## [23178] 43.0 22.0 26.0 40.0 13.0 27.0 31.0 41.0 41.0 46.0 12.0 ## [23189] 47.0 26.0 38.0 18.0 19.0 23.0 16.0 14.0 23.0 27.0 13.0 ## [23200] 18.0 14.0 21.0 18.0 19.0 24.0 25.0 15.0 22.0 23.0 27.0 ## [23211] 25.0 36.0 33.0 38.0 43.0 15.0 34.0 46.0 40.0 13.0 15.0 ## [23222] 17.0 19.0 22.0 14.0 20.0 23.0 33.0 36.0 34.0 16.0 16.0 ## [23233] 15.0 26.0 27.0 14.0 29.0 25.0 45.0 46.0 17.0 16.0 12.0 ## [23244] 15.0 18.0 16.0 21.0 16.0 23.0 25.0 35.0 32.0 47.0 12.0 ## [23255] 22.0 15.0 13.0 20.0 38.0 20.0 30.0 23.0 18.0 34.0 26.0 ## [23266] 22.0 20.0 19.0 15.0 19.0 25.0 38.0 20.0 12.0 12.0 12.0 ## [23277] 12.0 21.0 22.0 23.0 21.0 29.0 44.0 13.0 22.0 12.0 15.0 ## [23288] 13.0 18.0 21.0 31.0 25.0 29.0 36.0 47.0 22.0 19.0 29.0 ## [23299] 29.0 38.0 36.0 18.0 46.0 26.0 39.0 14.0 18.0 17.0 30.0 ## [23310] 37.0 22.0 16.0 27.0 32.0 35.0 22.0 23.0 18.0 47.0 19.0 ## [23321] 14.0 43.0 14.0 12.0 14.0 16.0 19.0 27.0 44.0 18.0 15.0 ## [23332] 30.0 37.0 31.0 33.0 23.0 41.0 23.0 43.0 13.0 13.0 16.0 ## [23343] 20.0 16.0 11.0 17.0 20.0 15.0 16.0 34.0 17.0 17.0 25.0 ## [23354] 13.0 13.0 30.0 14.0 22.0 12.0 13.0 17.0 27.0 14.0 38.0 ## [23365] 12.0 13.0 27.0 33.0 13.0 20.0 19.0 28.0 14.0 37.0 41.0 ## [23376] 39.0 12.0 18.0 14.0 16.0 23.0 43.0 16.0 14.0 16.0 12.0 ## [23387] 26.0 19.0 19.0 21.0 14.0 34.0 32.0 15.0 45.0 34.0 22.0 ## [23398] 32.0 22.0 39.0 24.0 21.0 43.0 17.0 17.0 23.0 18.0 15.0 ## [23409] 23.0 15.0 19.0 22.0 40.0 19.0 43.0 12.0 21.0 15.0 29.0 ## [23420] 15.0 22.0 19.0 22.0 24.0 46.0 41.0 21.0 12.0 13.0 27.0 ## [23431] 19.0 22.0 18.0 15.0 17.0 27.0 11.0 21.0 26.0 23.0 45.0 ## [23442] 12.0 17.0 12.0 12.0 12.0 14.0 13.0 13.0 15.0 12.0 15.0 ## [23453] 13.0 12.0 13.0 13.0 12.0 13.0 12.0 13.0 13.0 12.0 12.0 ## [23464] 12.0 12.0 13.0 12.0 12.0 14.0 14.0 14.0 12.0 11.0 13.0 ## [23475] 12.0 14.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 16.0 13.0 ## [23486] 11.0 13.0 13.0 14.0 12.0 12.0 16.0 12.0 12.0 13.0 12.0 ## [23497] 12.0 16.0 13.0 12.0 15.0 13.0 12.0 16.0 16.0 11.0 14.0 ## [23508] 13.0 18.0 13.0 16.0 12.0 17.0 14.0 16.0 13.0 15.0 12.0 ## [23519] 13.0 14.0 14.0 17.0 19.0 18.0 24.0 14.0 13.0 15.0 22.0 ## [23530] 20.0 19.0 19.0 22.0 21.0 16.0 18.0 17.0 32.0 12.0 15.0 ## [23541] 15.0 20.0 19.0 34.0 35.0 18.0 19.0 12.0 16.0 14.0 14.0 ## [23552] 21.0 21.0 27.0 14.0 41.0 13.0 20.0 40.0 12.0 12.0 16.0 ## [23563] 16.0 24.0 20.0 16.0 35.0 21.0 21.0 21.0 15.0 25.0 24.0 ## [23574] 26.0 34.0 15.0 15.0 13.0 21.0 15.0 18.0 25.0 16.0 21.0 ## [23585] 16.0 14.0 13.0 17.0 13.0 21.0 22.0 26.0 30.0 42.0 17.0 ## [23596] 20.0 21.0 23.0 26.0 32.0 14.0 12.0 11.0 20.0 16.0 17.0 ## [23607] 12.0 14.0 15.0 12.0 22.0 22.0 20.0 23.0 19.0 21.0 24.0 ## [23618] 25.0 28.0 30.0 14.0 21.0 17.0 18.0 16.0 18.0 15.0 24.0 ## [23629] 17.0 20.0 12.0 15.0 13.0 13.0 14.0 20.0 12.0 20.0 20.0 ## [23640] 19.0 16.0 19.0 25.0 17.0 24.0 21.0 19.0 27.0 27.0 33.0 ## [23651] 40.0 35.0 41.0 14.0 21.0 15.0 23.0 16.0 15.0 18.0 34.0 ## [23662] 29.0 27.0 32.0 43.0 13.0 15.0 12.0 11.0 19.0 21.0 21.0 ## [23673] 29.0 33.0 32.0 29.0 33.0 36.0 42.0 17.0 24.0 17.0 24.0 ## [23684] 12.0 14.0 14.0 15.0 16.0 18.0 16.0 17.0 19.0 24.0 28.0 ## [23695] 24.0 23.0 30.0 23.0 32.0 31.0 32.0 47.0 18.0 27.0 21.0 ## [23706] 19.0 32.0 33.0 38.0 20.0 25.0 38.0 18.0 20.0 43.0 46.0 ## [23717] 13.0 12.0 14.0 16.0 14.0 16.0 19.0 19.0 16.0 19.0 32.0 ## [23728] 23.0 20.0 24.0 23.0 31.0 28.0 14.0 17.0 14.0 12.0 26.0 ## [23739] 13.0 13.0 17.0 16.0 23.0 27.0 24.0 22.0 24.0 25.0 22.0 ## [23750] 22.0 28.0 30.0 40.0 37.0 15.0 19.0 16.0 28.0 35.0 32.0 ## [23761] 36.0 34.0 33.0 39.0 38.0 15.0 18.0 14.0 15.0 22.0 26.0 ## [23772] 33.0 23.0 17.0 24.0 36.0 32.0 38.0 14.0 17.0 12.0 14.0 ## [23783] 13.0 16.0 18.0 26.0 29.0 36.0 48.0 12.0 17.0 19.0 26.0 ## [23794] 23.0 28.0 29.0 37.0 20.0 36.0 48.0 15.0 18.0 17.0 27.0 ## [23805] 26.0 34.0 15.0 31.0 43.0 14.0 13.0 31.0 18.0 15.0 18.0 ## [23816] 20.0 22.0 35.0 29.0 43.0 42.0 14.0 18.0 31.0 13.0 12.0 ## [23827] 12.0 20.0 19.0 18.0 18.0 18.0 23.0 21.0 23.0 24.0 25.0 ## [23838] 21.0 28.0 42.0 27.0 46.0 43.0 13.0 17.0 16.0 16.0 13.0 ## [23849] 18.0 14.0 22.0 20.0 40.0 32.0 27.0 31.0 19.0 31.0 31.0 ## [23860] 41.0 39.0 32.0 45.0 30.0 36.0 37.0 36.0 15.0 12.0 18.0 ## [23871] 12.0 13.0 14.0 16.0 16.0 22.0 21.0 61.0 62.0 77.0 52.0 ## [23882] 63.0 58.0 52.0 50.0 61.0 58.0 57.0 83.0 82.0 54.0 62.0 ## [23893] 152.0 57.0 55.0 70.0 50.0 59.0 94.0 138.0 54.0 305.0 64.0 ## [23904] 59.0 84.0 59.0 99.0 62.0 49.0 53.0 52.0 142.0 58.0 104.0 ## [23915] 62.0 105.0 49.0 107.0 63.0 51.0 76.0 50.0 83.0 112.0 49.0 ## [23926] 94.0 56.0 50.0 77.0 63.0 55.0 65.0 68.0 196.0 58.0 68.0 ## [23937] 56.0 50.0 109.0 73.0 50.0 52.0 54.0 107.0 51.0 83.0 64.0 ## [23948] 70.0 55.0 62.0 72.0 54.0 51.0 63.0 51.0 50.0 54.0 67.0 ## [23959] 169.0 176.0 3.0 4.0 7.0 5.0 7.0 3.0 10.5 10.0 5.0 ## [23970] 5.0 6.0 7.0 7.0 4.0 7.0 5.0 4.0 5.0 5.0 7.0 ## [23981] 8.0 6.0 9.0 7.0 6.0 6.0 7.0 9.0 4.0 5.0 6.0 ## [23992] 6.0 5.0 5.0 6.0 5.0 6.0 9.0 5.0 10.5 5.0 8.0 ## [24003] 8.0 5.0 6.0 5.0 5.0 8.0 5.0 8.0 7.0 6.0 5.0 ## [24014] 4.0 5.0 5.0 10.5 6.0 10.0 8.0 5.0 9.0 5.0 10.0 ## [24025] 5.0 7.0 4.0 5.0 7.0 4.0 5.0 5.0 4.0 7.0 7.0 ## [24036] 4.0 7.0 1.0 4.0 7.0 4.0 2.0 2.0 10.5 10.5 9.0 ## [24047] 10.5 10.5 10.5 9.0 3.0 9.0 8.0 10.0 10.5 10.0 6.0 ## [24058] 10.5 10.0 10.5 8.0 0.5 9.0 8.0 6.0 0.5 9.0 0.5 ## [24069] 8.0 1.0 10.0 0.5 0.5 0.5 0.5 10.5 1.0 8.0 0.5 ## [24080] 0.5 0.5 3.0 4.0 2.0 3.0 2.0 3.0 3.0 4.0 1.0 ## [24091] 2.0 4.0 3.0 5.0 4.0 4.0 5.0 5.0 1.0 2.0 1.0 ## [24102] 3.0 2.0 3.0 2.0 4.0 3.0 4.0 5.0 6.0 6.0 0.5 ## [24113] 4.0 4.0 2.0 4.0 2.0 2.0 2.0 1.0 2.0 4.0 0.5 ## [24124] 4.0 4.0 4.0 5.0 4.0 3.0 2.0 3.0 4.0 2.0 0.5 ## [24135] 4.0 2.0 4.0 4.0 4.0 5.0 2.0 2.0 1.0 1.0 0.5 ## [24146] 1.0 3.0 4.0 2.0 3.0 5.0 4.0 5.0 4.0 2.0 0.5 ## [24157] 2.0 1.0 3.0 4.0 5.0 3.0 4.0 4.0 3.0 2.0 0.5 ## [24168] 1.0 3.0 4.0 1.0 3.0 2.0 3.0 4.0 6.0 5.0 1.0 ## [24179] 1.0 6.0 3.0 2.0 2.0 3.0 4.0 3.0 3.0 6.0 0.5 ## [24190] 2.0 2.0 2.0 1.0 2.0 2.0 2.0 2.0 3.0 3.0 0.5 ## [24201] 3.0 5.0 4.0 4.0 7.0 4.0 5.0 5.0 4.0 10.0 0.5 ## [24212] 5.0 2.0 3.0 3.0 5.0 3.0 2.0 4.0 4.0 1.0 0.5 ## [24223] 3.0 3.0 4.0 5.0 4.0 2.0 1.0 3.0 2.0 1.0 0.5 ## [24234] 3.0 3.0 6.0 4.0 2.0 1.0 2.0 4.0 3.0 3.0 0.5 ## [24245] 1.0 2.0 2.0 3.0 5.0 3.0 4.0 3.0 1.0 5.0 0.5 ## [24256] 2.0 3.0 2.0 2.0 2.0 2.0 1.0 4.0 5.0 2.0 0.5 ## [24267] 1.0 2.0 2.0 3.0 4.0 5.0 3.0 2.0 3.0 2.0 1.0 ## [24278] 2.0 5.0 2.0 1.0 2.0 2.0 2.0 1.0 6.0 4.0 1.0 ## [24289] 5.0 5.0 1.0 4.0 3.0 4.0 2.0 1.0 2.0 3.0 1.0 ## [24300] 4.0 3.0 3.0 5.0 2.0 1.0 2.0 1.0 3.0 4.0 0.5 ## [24311] 3.0 4.0 1.0 4.0 2.0 2.0 2.0 2.0 2.0 2.0 0.5 ## [24322] 3.0 3.0 2.0 3.0 2.0 3.0 4.0 3.0 1.0 2.0 0.5 ## [24333] 3.0 4.0 3.0 6.0 3.0 1.0 2.0 3.0 4.0 5.0 1.0 ## [24344] 3.0 3.0 3.0 2.0 2.0 3.0 2.0 4.0 4.0 2.0 0.5 ## [24355] 3.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 6.0 3.0 0.5 ## [24366] 4.0 3.0 5.0 3.0 3.0 5.0 2.0 2.0 3.0 3.0 1.0 ## [24377] 1.0 4.0 4.0 2.0 4.0 4.0 3.0 4.0 4.0 2.0 1.0 ## [24388] 3.0 1.0 2.0 4.0 3.0 2.0 3.0 4.0 4.0 2.0 1.0 ## [24399] 3.0 3.0 2.0 5.0 3.0 4.0 4.0 3.0 4.0 3.0 0.5 ## [24410] 2.0 2.0 3.0 5.0 4.0 5.0 2.0 2.0 3.0 4.0 0.5 ## [24421] 3.0 2.0 2.0 2.0 2.0 1.0 5.0 5.0 7.0 2.0 0.5 ## [24432] 2.0 1.0 6.0 2.0 3.0 4.0 2.0 2.0 3.0 3.0 1.0 ## [24443] 2.0 2.0 2.0 3.0 3.0 3.0 3.0 3.0 5.0 3.0 0.5 ## [24454] 2.0 2.0 3.0 2.0 3.0 5.0 3.0 2.0 2.0 2.0 0.5 ## [24465] 2.0 2.0 3.0 4.0 5.0 2.0 3.0 4.0 0.5 1.0 0.5 ## [24476] 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 ## [24487] 2.0 1.0 2.0 2.0 1.0 1.0 0.5 1.0 1.0 2.0 0.5 ## [24498] 0.5 1.0 1.0 0.5 0.5 2.0 0.5 0.5 1.0 1.0 0.5 ## [24509] 0.5 0.5 1.0 1.0 1.0 0.5 0.5 1.0 0.5 0.5 0.5 ## [24520] 1.0 1.0 2.0 0.5 0.5 0.5 0.5 2.0 0.5 0.5 0.5 ## [24531] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [24542] 1.0 1.0 0.5 1.0 0.5 0.5 0.5 2.0 1.0 1.0 0.5 ## [24553] 1.0 1.0 1.0 0.5 1.0 2.0 1.0 1.0 1.0 2.0 0.5 ## [24564] 1.0 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 ## [24575] 1.0 1.0 1.0 2.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 ## [24586] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [24597] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [24608] 1.0 0.5 1.0 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 ## [24619] 0.5 0.5 0.5 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 ## [24630] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [24641] 1.0 1.0 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 ## [24652] 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 0.5 ## [24663] 0.5 0.5 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 0.5 ## [24674] 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 ## [24685] 4.0 9.0 6.0 10.5 9.0 6.0 5.0 5.0 8.0 7.0 0.5 ## [24696] 9.0 10.0 10.5 7.0 8.0 5.0 4.0 6.0 6.0 6.0 0.5 ## [24707] 8.0 6.0 10.5 8.0 9.0 9.0 10.0 4.0 0.5 5.0 10.0 ## [24718] 10.0 6.0 8.0 10.0 6.0 8.0 7.0 7.0 1.0 8.0 7.0 ## [24729] 7.0 9.0 7.0 7.0 7.0 6.0 7.0 0.5 6.0 7.0 7.0 ## [24740] 9.0 10.0 4.0 3.0 7.0 7.0 1.0 9.0 5.0 6.0 5.0 ## [24751] 7.0 6.0 4.0 7.0 1.0 9.0 10.0 9.0 10.5 5.0 8.0 ## [24762] 10.0 10.0 10.5 1.0 4.0 8.0 6.0 7.0 9.0 10.0 8.0 ## [24773] 10.5 3.0 6.0 0.5 5.0 5.0 7.0 10.5 7.0 8.0 8.0 ## [24784] 6.0 10.0 10.0 0.5 5.0 8.0 8.0 8.0 10.0 3.0 10.0 ## [24795] 6.0 5.0 0.5 6.0 7.0 8.0 7.0 8.0 7.0 7.0 7.0 ## [24806] 6.0 8.0 1.0 8.0 10.5 8.0 10.0 6.0 4.0 9.0 8.0 ## [24817] 10.5 1.0 9.0 7.0 8.0 5.0 6.0 0.5 4.0 6.0 10.0 ## [24828] 6.0 6.0 9.0 6.0 7.0 0.5 8.0 7.0 9.0 8.0 9.0 ## [24839] 10.5 10.0 9.0 10.0 0.5 8.0 5.0 7.0 7.0 8.0 6.0 ## [24850] 10.0 0.5 8.0 8.0 4.0 7.0 7.0 10.0 7.0 0.5 8.0 ## [24861] 5.0 6.0 8.0 9.0 5.0 5.0 7.0 1.0 7.0 6.0 8.0 ## [24872] 8.0 4.0 7.0 8.0 6.0 9.0 0.5 10.5 10.0 10.0 7.0 ## [24883] 10.0 10.5 8.0 0.5 10.0 7.0 8.0 8.0 5.0 10.0 10.5 ## [24894] 9.0 0.5 7.0 7.0 8.0 4.0 6.0 7.0 10.0 7.0 1.0 ## [24905] 10.0 10.0 5.0 6.0 9.0 7.0 10.0 10.0 1.0 5.0 9.0 ## [24916] 7.0 6.0 9.0 6.0 8.0 6.0 1.0 9.0 5.0 6.0 6.0 ## [24927] 5.0 9.0 10.0 9.0 4.0 0.5 10.0 7.0 6.0 7.0 10.0 ## [24938] 10.0 10.5 10.0 7.0 1.0 7.0 7.0 9.0 9.0 10.0 9.0 ## [24949] 10.5 6.0 10.0 1.0 7.0 7.0 9.0 6.0 10.5 5.0 7.0 ## [24960] 9.0 9.0 2.0 0.5 7.0 5.0 6.0 8.0 10.5 7.0 10.5 ## [24971] 1.0 5.0 6.0 6.0 10.0 5.0 8.0 6.0 7.0 0.5 10.0 ## [24982] 5.0 10.0 9.0 5.0 6.0 10.5 1.0 8.0 6.0 6.0 8.0 ## [24993] 8.0 8.0 5.0 7.0 7.0 0.5 9.0 5.0 8.0 7.0 10.0 ## [25004] 8.0 8.0 6.0 5.0 0.5 7.0 10.0 5.0 5.0 5.0 8.0 ## [25015] 4.0 0.5 5.0 6.0 6.0 6.0 8.0 9.0 7.0 10.5 6.0 ## [25026] 0.5 6.0 3.0 7.0 10.5 10.5 9.0 9.0 4.0 7.0 6.0 ## [25037] 0.5 8.0 5.0 10.0 7.0 5.0 7.0 10.0 0.5 8.0 8.0 ## [25048] 9.0 10.5 10.0 7.0 6.0 9.0 0.5 8.0 5.0 5.0 8.0 ## [25059] 8.0 7.0 6.0 6.0 8.0 1.0 8.0 5.0 7.0 2.0 8.0 ## [25070] 7.0 10.5 7.0 8.0 1.0 9.0 7.0 9.0 9.0 9.0 6.0 ## [25081] 9.0 7.0 4.0 4.0 1.0 9.0 9.0 10.0 10.0 5.0 5.0 ## [25092] 10.5 0.5 4.0 7.0 8.0 8.0 9.0 9.0 7.0 8.0 7.0 ## [25103] 7.0 0.5 7.0 9.0 7.0 10.0 5.0 7.0 8.0 10.0 8.0 ## [25114] 0.5 5.0 2.0 8.0 6.0 6.0 6.0 8.0 8.0 0.5 8.0 ## [25125] 7.0 9.0 6.0 5.0 4.0 10.0 3.0 6.0 0.5 6.0 9.0 ## [25136] 10.5 3.0 8.0 8.0 5.0 5.0 6.0 0.5 9.0 9.0 6.0 ## [25147] 9.0 7.0 6.0 10.0 6.0 8.0 9.0 1.0 5.0 7.0 10.0 ## [25158] 9.0 5.0 10.5 6.0 1.0 8.0 10.5 10.5 5.0 6.0 5.0 ## [25169] 7.0 8.0 8.0 1.0 7.0 6.0 4.0 7.0 9.0 7.0 0.5 ## [25180] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [25191] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [25202] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 1.0 ## [25213] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 ## [25224] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [25235] 1.0 1.0 1.0 0.5 1.0 0.5 1.0 0.5 0.5 1.0 0.5 ## [25246] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 ## [25257] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 ## [25268] 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [25279] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [25290] 0.5 1.0 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [25301] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [25312] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [25323] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [25334] 0.5 0.5 1.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 0.5 ## [25345] 0.5 1.0 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 ## [25356] 0.5 2.0 2.0 1.0 2.0 2.0 3.0 2.0 4.0 4.0 1.0 ## [25367] 4.0 3.0 3.0 2.0 2.0 2.0 3.0 3.0 3.0 1.0 2.0 ## [25378] 3.0 3.0 3.0 4.0 2.0 2.0 3.0 2.0 2.0 2.0 1.0 ## [25389] 3.0 3.0 1.0 2.0 1.0 3.0 3.0 2.0 2.0 6.0 1.0 ## [25400] 3.0 4.0 2.0 2.0 2.0 2.0 4.0 3.0 2.0 3.0 2.0 ## [25411] 2.0 2.0 2.0 2.0 4.0 2.0 2.0 3.0 4.0 2.0 2.0 ## [25422] 2.0 3.0 2.0 5.0 2.0 1.0 1.0 2.0 2.0 2.0 3.0 ## [25433] 3.0 4.0 2.0 2.0 5.0 6.0 3.0 3.0 3.0 2.0 4.0 ## [25444] 2.0 2.0 4.0 6.0 2.0 1.0 2.0 2.0 1.0 1.0 3.0 ## [25455] 2.0 5.0 2.0 3.0 1.0 3.0 2.0 3.0 3.0 3.0 3.0 ## [25466] 1.0 1.0 2.0 4.0 3.0 2.0 2.0 2.0 3.0 1.0 2.0 ## [25477] 2.0 1.0 3.0 2.0 6.0 4.0 5.0 3.0 1.0 1.0 3.0 ## [25488] 2.0 1.0 1.0 2.0 4.0 2.0 3.0 2.0 2.0 2.0 1.0 ## [25499] 2.0 1.0 2.0 1.0 4.0 2.0 1.0 2.0 4.0 2.0 9.0 ## [25510] 10.5 10.5 10.0 10.5 10.0 6.0 8.0 10.0 9.0 10.5 10.0 ## [25521] 10.5 10.0 10.5 8.0 10.5 10.0 10.5 10.5 10.5 10.0 10.0 ## [25532] 10.0 10.0 10.0 10.5 10.5 13.0 12.0 14.0 14.0 11.0 13.0 ## [25543] 14.0 22.0 23.0 30.0 27.0 18.0 23.0 27.0 29.0 35.0 34.0 ## [25554] 29.0 27.0 17.0 18.0 21.0 23.0 24.0 27.0 35.0 42.0 14.0 ## [25565] 15.0 24.0 14.0 27.0 25.0 24.0 28.0 42.0 30.0 43.0 22.0 ## [25576] 26.0 40.0 13.0 27.0 31.0 41.0 41.0 46.0 12.0 47.0 26.0 ## [25587] 38.0 18.0 19.0 23.0 16.0 14.0 23.0 27.0 13.0 18.0 14.0 ## [25598] 21.0 18.0 19.0 24.0 25.0 15.0 22.0 23.0 27.0 25.0 36.0 ## [25609] 33.0 38.0 43.0 15.0 34.0 46.0 40.0 13.0 15.0 17.0 19.0 ## [25620] 22.0 14.0 20.0 23.0 33.0 36.0 34.0 16.0 16.0 15.0 26.0 ## [25631] 27.0 14.0 29.0 25.0 45.0 46.0 17.0 16.0 12.0 15.0 18.0 ## [25642] 16.0 21.0 16.0 23.0 25.0 35.0 32.0 47.0 12.0 22.0 15.0 ## [25653] 13.0 20.0 38.0 20.0 30.0 23.0 18.0 34.0 26.0 22.0 20.0 ## [25664] 19.0 15.0 19.0 25.0 38.0 20.0 12.0 12.0 12.0 12.0 21.0 ## [25675] 22.0 23.0 21.0 29.0 44.0 13.0 22.0 12.0 15.0 13.0 18.0 ## [25686] 21.0 31.0 25.0 29.0 36.0 47.0 22.0 19.0 29.0 29.0 38.0 ## [25697] 36.0 18.0 46.0 26.0 39.0 14.0 18.0 17.0 30.0 37.0 22.0 ## [25708] 16.0 27.0 32.0 35.0 22.0 23.0 18.0 47.0 19.0 14.0 43.0 ## [25719] 14.0 12.0 14.0 16.0 19.0 27.0 44.0 18.0 15.0 30.0 37.0 ## [25730] 31.0 33.0 23.0 41.0 23.0 43.0 13.0 13.0 16.0 20.0 16.0 ## [25741] 11.0 17.0 20.0 15.0 16.0 34.0 17.0 17.0 25.0 13.0 13.0 ## [25752] 30.0 14.0 22.0 12.0 13.0 17.0 27.0 14.0 38.0 12.0 13.0 ## [25763] 27.0 33.0 13.0 20.0 19.0 28.0 14.0 37.0 41.0 39.0 12.0 ## [25774] 18.0 14.0 16.0 23.0 43.0 16.0 14.0 16.0 12.0 26.0 19.0 ## [25785] 19.0 21.0 14.0 34.0 32.0 15.0 45.0 34.0 22.0 32.0 22.0 ## [25796] 39.0 24.0 21.0 43.0 17.0 17.0 23.0 18.0 15.0 23.0 15.0 ## [25807] 19.0 22.0 40.0 19.0 43.0 12.0 21.0 15.0 29.0 15.0 22.0 ## [25818] 19.0 22.0 24.0 46.0 41.0 21.0 12.0 13.0 27.0 19.0 22.0 ## [25829] 18.0 15.0 17.0 27.0 11.0 21.0 26.0 23.0 45.0 12.0 17.0 ## [25840] 12.0 12.0 12.0 14.0 13.0 13.0 15.0 12.0 15.0 13.0 12.0 ## [25851] 13.0 13.0 12.0 13.0 12.0 13.0 13.0 12.0 12.0 12.0 12.0 ## [25862] 13.0 12.0 12.0 14.0 14.0 14.0 12.0 11.0 13.0 12.0 14.0 ## [25873] 12.0 12.0 12.0 12.0 12.0 12.0 12.0 16.0 13.0 11.0 13.0 ## [25884] 13.0 14.0 12.0 12.0 16.0 12.0 12.0 13.0 12.0 12.0 16.0 ## [25895] 13.0 12.0 15.0 13.0 12.0 16.0 16.0 11.0 14.0 13.0 18.0 ## [25906] 13.0 16.0 12.0 17.0 14.0 16.0 13.0 15.0 12.0 13.0 14.0 ## [25917] 14.0 17.0 19.0 18.0 24.0 14.0 13.0 15.0 22.0 20.0 19.0 ## [25928] 19.0 22.0 21.0 16.0 18.0 17.0 32.0 12.0 15.0 15.0 20.0 ## [25939] 19.0 34.0 35.0 18.0 19.0 12.0 16.0 14.0 14.0 21.0 21.0 ## [25950] 27.0 14.0 41.0 13.0 20.0 40.0 12.0 12.0 16.0 16.0 24.0 ## [25961] 20.0 16.0 35.0 21.0 21.0 21.0 15.0 25.0 24.0 26.0 34.0 ## [25972] 15.0 15.0 13.0 21.0 15.0 18.0 25.0 16.0 21.0 16.0 14.0 ## [25983] 13.0 17.0 13.0 21.0 22.0 26.0 30.0 42.0 17.0 20.0 21.0 ## [25994] 23.0 26.0 32.0 14.0 12.0 11.0 20.0 16.0 17.0 12.0 14.0 ## [26005] 15.0 12.0 22.0 22.0 20.0 23.0 19.0 21.0 24.0 25.0 28.0 ## [26016] 30.0 14.0 21.0 17.0 18.0 16.0 18.0 15.0 24.0 17.0 20.0 ## [26027] 12.0 15.0 13.0 13.0 14.0 20.0 12.0 20.0 20.0 19.0 16.0 ## [26038] 19.0 25.0 17.0 24.0 21.0 19.0 27.0 27.0 33.0 40.0 35.0 ## [26049] 41.0 14.0 21.0 15.0 23.0 16.0 15.0 18.0 34.0 29.0 27.0 ## [26060] 32.0 43.0 13.0 15.0 12.0 11.0 19.0 21.0 21.0 29.0 33.0 ## [26071] 32.0 29.0 33.0 36.0 42.0 17.0 24.0 17.0 24.0 12.0 14.0 ## [26082] 14.0 15.0 16.0 18.0 16.0 17.0 19.0 24.0 28.0 24.0 23.0 ## [26093] 30.0 23.0 32.0 31.0 32.0 47.0 18.0 27.0 21.0 19.0 32.0 ## [26104] 33.0 38.0 20.0 25.0 38.0 18.0 20.0 43.0 46.0 13.0 12.0 ## [26115] 14.0 16.0 14.0 16.0 19.0 19.0 16.0 19.0 32.0 23.0 20.0 ## [26126] 24.0 23.0 31.0 28.0 14.0 17.0 14.0 12.0 26.0 13.0 13.0 ## [26137] 17.0 16.0 23.0 27.0 24.0 22.0 24.0 25.0 22.0 22.0 28.0 ## [26148] 30.0 40.0 37.0 15.0 19.0 16.0 28.0 35.0 32.0 36.0 34.0 ## [26159] 33.0 39.0 38.0 15.0 18.0 14.0 15.0 22.0 26.0 33.0 23.0 ## [26170] 17.0 24.0 36.0 32.0 38.0 14.0 17.0 12.0 14.0 13.0 16.0 ## [26181] 18.0 26.0 29.0 36.0 48.0 12.0 17.0 19.0 26.0 23.0 28.0 ## [26192] 29.0 37.0 20.0 36.0 48.0 15.0 18.0 17.0 27.0 26.0 34.0 ## [26203] 15.0 31.0 43.0 14.0 13.0 31.0 18.0 15.0 18.0 20.0 22.0 ## [26214] 35.0 29.0 43.0 42.0 14.0 18.0 31.0 13.0 12.0 12.0 20.0 ## [26225] 19.0 18.0 18.0 18.0 23.0 21.0 23.0 24.0 25.0 21.0 28.0 ## [26236] 42.0 27.0 46.0 43.0 13.0 17.0 16.0 16.0 13.0 18.0 14.0 ## [26247] 22.0 20.0 40.0 32.0 27.0 31.0 19.0 31.0 31.0 41.0 39.0 ## [26258] 32.0 45.0 30.0 36.0 37.0 36.0 15.0 12.0 18.0 12.0 13.0 ## [26269] 14.0 16.0 16.0 22.0 21.0 61.0 62.0 77.0 52.0 63.0 58.0 ## [26280] 52.0 50.0 61.0 58.0 57.0 83.0 82.0 54.0 62.0 152.0 57.0 ## [26291] 55.0 70.0 50.0 59.0 94.0 138.0 54.0 305.0 64.0 59.0 84.0 ## [26302] 59.0 99.0 62.0 49.0 53.0 52.0 142.0 58.0 104.0 62.0 105.0 ## [26313] 49.0 107.0 63.0 51.0 76.0 50.0 83.0 112.0 49.0 94.0 56.0 ## [26324] 50.0 77.0 63.0 55.0 65.0 68.0 196.0 58.0 68.0 56.0 50.0 ## [26335] 109.0 73.0 50.0 52.0 54.0 107.0 51.0 83.0 64.0 70.0 55.0 ## [26346] 62.0 72.0 54.0 51.0 63.0 51.0 50.0 54.0 67.0 169.0 176.0 ## [26357] 3.0 4.0 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 ## [26368] 7.0 7.0 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 ## [26379] 9.0 7.0 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 ## [26390] 5.0 6.0 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 ## [26401] 6.0 5.0 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 ## [26412] 5.0 10.5 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 ## [26423] 4.0 5.0 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 ## [26434] 1.0 4.0 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 ## [26445] 10.5 9.0 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 ## [26456] 10.5 8.0 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 ## [26467] 10.0 0.5 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 ## [26478] 3.0 4.0 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 ## [26489] 3.0 5.0 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 ## [26500] 3.0 2.0 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 ## [26511] 2.0 4.0 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 ## [26522] 4.0 5.0 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 ## [26533] 4.0 4.0 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 ## [26544] 4.0 2.0 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 ## [26555] 3.0 4.0 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 ## [26566] 4.0 1.0 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 ## [26577] 3.0 2.0 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 ## [26588] 2.0 1.0 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 ## [26599] 4.0 4.0 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 ## [26610] 3.0 3.0 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 ## [26621] 4.0 5.0 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 ## [26632] 6.0 4.0 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 ## [26643] 2.0 3.0 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 ## [26654] 2.0 2.0 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 ## [26665] 2.0 3.0 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 ## [26676] 2.0 1.0 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 ## [26687] 1.0 4.0 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 ## [26698] 3.0 5.0 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 ## [26709] 1.0 4.0 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 ## [26720] 2.0 3.0 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 ## [26731] 3.0 6.0 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 ## [26742] 3.0 2.0 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 ## [26753] 4.0 3.0 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 ## [26764] 5.0 3.0 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 ## [26775] 4.0 2.0 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 ## [26786] 2.0 4.0 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 ## [26797] 2.0 5.0 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 ## [26808] 3.0 5.0 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 ## [26819] 2.0 2.0 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 ## [26830] 6.0 2.0 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 ## [26841] 2.0 3.0 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 ## [26852] 3.0 2.0 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 ## [26863] 3.0 4.0 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 ## [26874] 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 ## [26885] 2.0 2.0 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 ## [26896] 1.0 0.5 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [26907] 1.0 1.0 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 ## [26918] 2.0 0.5 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 ## [26929] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 ## [26940] 0.5 1.0 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 ## [26951] 1.0 0.5 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 ## [26962] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 ## [26973] 1.0 2.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 ## [26984] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [26995] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 ## [27006] 1.0 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 ## [27017] 0.5 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [27028] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 ## [27039] 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [27050] 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 ## [27061] 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 ## [27072] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 ## [27083] 6.0 10.5 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 ## [27094] 10.5 7.0 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 ## [27105] 10.5 8.0 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 ## [27116] 8.0 10.0 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 ## [27127] 7.0 7.0 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 ## [27138] 4.0 3.0 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 ## [27149] 4.0 7.0 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 ## [27160] 10.5 1.0 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 ## [27171] 6.0 0.5 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 ## [27182] 10.0 0.5 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 ## [27193] 0.5 6.0 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 ## [27204] 1.0 8.0 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 ## [27215] 9.0 7.0 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 ## [27226] 9.0 6.0 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 ## [27237] 9.0 10.0 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 ## [27248] 8.0 8.0 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 ## [27259] 8.0 9.0 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 ## [27270] 7.0 8.0 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 ## [27281] 8.0 0.5 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 ## [27292] 7.0 7.0 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 ## [27303] 5.0 6.0 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 ## [27314] 9.0 6.0 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 ## [27325] 10.0 9.0 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 ## [27336] 10.0 7.0 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 ## [27347] 10.0 1.0 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 ## [27358] 2.0 0.5 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 ## [27369] 6.0 6.0 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 ## [27380] 9.0 5.0 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 ## [27391] 5.0 7.0 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 ## [27402] 6.0 5.0 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 ## [27413] 5.0 6.0 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 ## [27424] 3.0 7.0 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 ## [27435] 5.0 10.0 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 ## [27446] 10.0 7.0 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 ## [27457] 6.0 6.0 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 ## [27468] 7.0 8.0 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 ## [27479] 4.0 4.0 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 ## [27490] 4.0 7.0 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 ## [27501] 7.0 9.0 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 ## [27512] 2.0 8.0 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 ## [27523] 6.0 5.0 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 ## [27534] 8.0 8.0 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 ## [27545] 6.0 10.0 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 ## [27556] 10.5 6.0 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 ## [27567] 8.0 1.0 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 ## [27578] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [27589] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [27600] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [27611] 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [27622] 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [27633] 1.0 0.5 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 ## [27644] 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 ## [27655] 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 ## [27666] 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [27677] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [27688] 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 ## [27699] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 ## [27710] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [27721] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [27732] 1.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 ## [27743] 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 ## [27754] 2.0 1.0 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 ## [27765] 3.0 2.0 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 ## [27776] 3.0 4.0 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 ## [27787] 1.0 2.0 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 ## [27798] 2.0 2.0 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 ## [27809] 2.0 2.0 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 ## [27820] 2.0 5.0 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 ## [27831] 2.0 2.0 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 ## [27842] 4.0 6.0 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 ## [27853] 2.0 3.0 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 ## [27864] 2.0 4.0 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 ## [27875] 3.0 2.0 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 ## [27886] 1.0 2.0 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 ## [27897] 2.0 1.0 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 ## [27908] 10.0 10.5 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 ## [27919] 10.5 8.0 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 ## [27930] 10.0 10.5 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 ## [27941] 23.0 30.0 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 ## [27952] 17.0 18.0 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 ## [27963] 14.0 27.0 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 ## [27974] 13.0 27.0 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 ## [27985] 19.0 23.0 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 ## [27996] 19.0 24.0 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 ## [28007] 43.0 15.0 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 ## [28018] 20.0 23.0 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 ## [28029] 29.0 25.0 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 ## [28040] 16.0 23.0 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 ## [28051] 38.0 20.0 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 ## [28062] 19.0 25.0 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 ## [28073] 21.0 29.0 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 ## [28084] 25.0 29.0 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 ## [28095] 46.0 26.0 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 ## [28106] 32.0 35.0 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 ## [28117] 14.0 16.0 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 ## [28128] 23.0 41.0 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 ## [28139] 20.0 15.0 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 ## [28150] 22.0 12.0 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 ## [28161] 13.0 20.0 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 ## [28172] 16.0 23.0 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 ## [28183] 14.0 34.0 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 ## [28194] 21.0 43.0 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 ## [28205] 40.0 19.0 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 ## [28216] 24.0 46.0 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 ## [28227] 17.0 27.0 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 ## [28238] 12.0 14.0 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 ## [28249] 12.0 13.0 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 ## [28260] 12.0 14.0 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 ## [28271] 12.0 12.0 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 ## [28282] 12.0 12.0 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 ## [28293] 15.0 13.0 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 ## [28304] 12.0 17.0 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 ## [28315] 19.0 18.0 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 ## [28326] 21.0 16.0 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 ## [28337] 35.0 18.0 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 ## [28348] 41.0 13.0 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 ## [28359] 35.0 21.0 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 ## [28370] 13.0 21.0 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 ## [28381] 13.0 21.0 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 ## [28392] 32.0 14.0 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 ## [28403] 22.0 22.0 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 ## [28414] 21.0 17.0 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 ## [28425] 13.0 13.0 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 ## [28436] 17.0 24.0 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 ## [28447] 21.0 15.0 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 ## [28458] 13.0 15.0 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 ## [28469] 33.0 36.0 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 ## [28480] 16.0 18.0 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 ## [28491] 32.0 31.0 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 ## [28502] 20.0 25.0 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 ## [28513] 14.0 16.0 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 ## [28524] 31.0 28.0 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 ## [28535] 23.0 27.0 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 ## [28546] 37.0 15.0 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 ## [28557] 38.0 15.0 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 ## [28568] 36.0 32.0 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 ## [28579] 29.0 36.0 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 ## [28590] 20.0 36.0 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 ## [28601] 43.0 14.0 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 ## [28612] 43.0 42.0 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 ## [28623] 18.0 18.0 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 ## [28634] 46.0 43.0 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 ## [28645] 40.0 32.0 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 ## [28656] 30.0 36.0 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 ## [28667] 16.0 22.0 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 ## [28678] 61.0 58.0 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 ## [28689] 50.0 59.0 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 ## [28700] 62.0 49.0 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 ## [28711] 63.0 51.0 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 ## [28722] 63.0 55.0 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 ## [28733] 50.0 52.0 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 ## [28744] 54.0 51.0 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 ## [28755] 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 ## [28766] 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 ## [28777] 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 ## [28788] 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 ## [28799] 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 ## [28810] 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 ## [28821] 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 ## [28832] 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 ## [28843] 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 ## [28854] 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 ## [28865] 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 ## [28876] 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 ## [28887] 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 ## [28898] 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 ## [28909] 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 ## [28920] 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 ## [28931] 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 ## [28942] 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 ## [28953] 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 ## [28964] 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 ## [28975] 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 ## [28986] 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 ## [28997] 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 ## [29008] 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 ## [29019] 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 ## [29030] 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 ## [29041] 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 ## [29052] 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 ## [29063] 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 ## [29074] 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 ## [29085] 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 ## [29096] 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 ## [29107] 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 ## [29118] 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 ## [29129] 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 ## [29140] 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 ## [29151] 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 ## [29162] 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 ## [29173] 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 ## [29184] 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 ## [29195] 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 ## [29206] 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 ## [29217] 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 ## [29228] 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 ## [29239] 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 ## [29250] 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 ## [29261] 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 ## [29272] 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 ## [29283] 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 ## [29294] 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [29305] 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 ## [29316] 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 ## [29327] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [29338] 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 ## [29349] 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 ## [29360] 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 ## [29371] 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [29382] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [29393] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 ## [29404] 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [29415] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [29426] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 ## [29437] 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 ## [29448] 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [29459] 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 ## [29470] 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 ## [29481] 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 ## [29492] 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 ## [29503] 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 ## [29514] 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 ## [29525] 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 ## [29536] 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 ## [29547] 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 ## [29558] 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 ## [29569] 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 ## [29580] 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 ## [29591] 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 ## [29602] 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 ## [29613] 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 ## [29624] 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 ## [29635] 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 ## [29646] 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 ## [29657] 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 ## [29668] 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 ## [29679] 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 ## [29690] 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 ## [29701] 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 ## [29712] 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 ## [29723] 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 ## [29734] 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 ## [29745] 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 ## [29756] 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 ## [29767] 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 ## [29778] 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 ## [29789] 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 ## [29800] 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 ## [29811] 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 ## [29822] 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 ## [29833] 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 ## [29844] 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 ## [29855] 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 ## [29866] 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 ## [29877] 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 ## [29888] 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 ## [29899] 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 ## [29910] 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 ## [29921] 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 ## [29932] 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 ## [29943] 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 ## [29954] 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 ## [29965] 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 ## [29976] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 ## [29987] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [29998] 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [30009] 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [30020] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [30031] 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [30042] 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [30053] 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [30064] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [30075] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [30086] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 ## [30097] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [30108] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [30119] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [30130] 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 ## [30141] 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 ## [30152] 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 ## [30163] 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 ## [30174] 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 ## [30185] 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 2.0 2.0 ## [30196] 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 2.0 2.0 ## [30207] 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 2.0 5.0 ## [30218] 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 2.0 2.0 ## [30229] 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 4.0 6.0 ## [30240] 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 2.0 3.0 ## [30251] 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 4.0 ## [30262] 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 3.0 2.0 ## [30273] 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 1.0 2.0 ## [30284] 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 2.0 1.0 ## [30295] 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 10.0 10.5 ## [30306] 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 10.5 8.0 ## [30317] 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 10.0 10.5 ## [30328] 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 23.0 30.0 ## [30339] 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 17.0 18.0 ## [30350] 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 14.0 27.0 ## [30361] 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 13.0 27.0 ## [30372] 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 19.0 23.0 ## [30383] 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 19.0 24.0 ## [30394] 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 43.0 15.0 ## [30405] 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 20.0 23.0 ## [30416] 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 29.0 25.0 ## [30427] 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 16.0 23.0 ## [30438] 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 38.0 20.0 ## [30449] 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 19.0 25.0 ## [30460] 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 21.0 29.0 ## [30471] 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 25.0 29.0 ## [30482] 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 46.0 26.0 ## [30493] 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 32.0 35.0 ## [30504] 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 14.0 16.0 ## [30515] 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 23.0 41.0 ## [30526] 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 20.0 15.0 ## [30537] 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 22.0 12.0 ## [30548] 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 13.0 20.0 ## [30559] 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 16.0 23.0 ## [30570] 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 14.0 34.0 ## [30581] 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 21.0 43.0 ## [30592] 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 40.0 19.0 ## [30603] 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 24.0 46.0 ## [30614] 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 17.0 27.0 ## [30625] 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 12.0 14.0 ## [30636] 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 12.0 13.0 ## [30647] 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 12.0 14.0 ## [30658] 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 12.0 12.0 ## [30669] 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 12.0 12.0 ## [30680] 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 15.0 13.0 ## [30691] 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 12.0 17.0 ## [30702] 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 19.0 18.0 ## [30713] 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 21.0 16.0 ## [30724] 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 35.0 18.0 ## [30735] 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 41.0 13.0 ## [30746] 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 35.0 21.0 ## [30757] 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 13.0 21.0 ## [30768] 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 13.0 21.0 ## [30779] 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 32.0 14.0 ## [30790] 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 22.0 22.0 ## [30801] 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 21.0 17.0 ## [30812] 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 13.0 13.0 ## [30823] 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 17.0 24.0 ## [30834] 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 21.0 15.0 ## [30845] 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 13.0 15.0 ## [30856] 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 33.0 36.0 ## [30867] 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 16.0 18.0 ## [30878] 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 32.0 31.0 ## [30889] 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 20.0 25.0 ## [30900] 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 14.0 16.0 ## [30911] 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 31.0 28.0 ## [30922] 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 23.0 27.0 ## [30933] 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 37.0 15.0 ## [30944] 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 38.0 15.0 ## [30955] 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 36.0 32.0 ## [30966] 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 29.0 36.0 ## [30977] 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 20.0 36.0 ## [30988] 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 43.0 14.0 ## [30999] 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 43.0 42.0 ## [31010] 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 18.0 18.0 ## [31021] 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 46.0 43.0 ## [31032] 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 40.0 32.0 ## [31043] 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 30.0 36.0 ## [31054] 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 16.0 22.0 ## [31065] 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 61.0 58.0 ## [31076] 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 50.0 59.0 ## [31087] 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 62.0 49.0 ## [31098] 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 63.0 51.0 ## [31109] 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 63.0 55.0 ## [31120] 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 50.0 52.0 ## [31131] 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 54.0 51.0 ## [31142] 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 7.0 5.0 ## [31153] 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 4.0 7.0 ## [31164] 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 6.0 6.0 ## [31175] 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 5.0 6.0 ## [31186] 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 5.0 8.0 ## [31197] 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 6.0 10.0 ## [31208] 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 7.0 4.0 ## [31219] 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 7.0 4.0 ## [31230] 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 3.0 9.0 ## [31241] 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 0.5 9.0 ## [31252] 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 0.5 0.5 ## [31263] 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 2.0 3.0 ## [31274] 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 4.0 4.0 ## [31285] 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 4.0 3.0 ## [31296] 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 2.0 2.0 ## [31307] 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 4.0 3.0 ## [31318] 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 4.0 5.0 ## [31329] 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 3.0 5.0 ## [31340] 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 5.0 3.0 ## [31351] 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 3.0 2.0 ## [31362] 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 2.0 3.0 ## [31373] 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 2.0 2.0 ## [31384] 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 7.0 4.0 ## [31395] 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 5.0 3.0 ## [31406] 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 4.0 2.0 ## [31417] 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 2.0 1.0 ## [31428] 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 5.0 3.0 ## [31439] 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 2.0 2.0 ## [31450] 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 4.0 5.0 ## [31461] 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 2.0 2.0 ## [31472] 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 3.0 4.0 ## [31483] 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 2.0 1.0 ## [31494] 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 2.0 2.0 ## [31505] 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 2.0 3.0 ## [31516] 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 3.0 1.0 ## [31527] 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 2.0 3.0 ## [31538] 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 2.0 3.0 ## [31549] 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 3.0 5.0 ## [31560] 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 4.0 4.0 ## [31571] 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 3.0 2.0 ## [31582] 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 3.0 4.0 ## [31593] 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 4.0 5.0 ## [31604] 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 2.0 1.0 ## [31615] 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 3.0 4.0 ## [31626] 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 3.0 3.0 ## [31637] 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 3.0 5.0 ## [31648] 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 5.0 2.0 ## [31659] 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 1.0 1.0 ## [31670] 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 1.0 1.0 ## [31681] 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 0.5 2.0 ## [31692] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [31703] 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 0.5 0.5 ## [31714] 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 ## [31725] 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [31736] 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 1.0 2.0 ## [31747] 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 ## [31758] 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 1.0 0.5 ## [31769] 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [31780] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [31791] 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 ## [31802] 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 ## [31813] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [31824] 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [31835] 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 ## [31846] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 2.0 ## [31857] 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.5 ## [31868] 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 9.0 6.0 ## [31879] 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 8.0 5.0 ## [31890] 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 9.0 9.0 ## [31901] 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 6.0 8.0 ## [31912] 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 7.0 6.0 ## [31923] 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 7.0 7.0 ## [31934] 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 1.0 9.0 ## [31945] 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 4.0 8.0 ## [31956] 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 5.0 5.0 ## [31967] 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 5.0 8.0 ## [31978] 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 7.0 8.0 ## [31989] 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 10.5 8.0 ## [32000] 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 8.0 5.0 ## [32011] 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 7.0 0.5 ## [32022] 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 0.5 8.0 ## [32033] 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 4.0 7.0 ## [32044] 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 5.0 5.0 ## [32055] 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 6.0 9.0 ## [32066] 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 10.0 7.0 ## [32077] 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 8.0 4.0 ## [32088] 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 9.0 7.0 ## [32099] 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 8.0 6.0 ## [32110] 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 4.0 0.5 ## [32121] 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 1.0 7.0 ## [32132] 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 7.0 7.0 ## [32143] 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 7.0 5.0 ## [32154] 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 10.0 5.0 ## [32165] 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 6.0 10.5 ## [32176] 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 7.0 0.5 ## [32187] 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 0.5 7.0 ## [32198] 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 6.0 6.0 ## [32209] 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 10.5 10.5 ## [32220] 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 7.0 5.0 ## [32231] 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 6.0 9.0 ## [32242] 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 8.0 1.0 ## [32253] 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 1.0 9.0 ## [32264] 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 1.0 9.0 ## [32275] 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 8.0 8.0 ## [32286] 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 7.0 10.0 ## [32297] 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 6.0 6.0 ## [32308] 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 4.0 10.0 ## [32319] 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 5.0 5.0 ## [32330] 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 6.0 8.0 ## [32341] 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 1.0 8.0 ## [32352] 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 7.0 6.0 ## [32363] 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [32374] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.5 0.5 ## [32385] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [32396] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [32407] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [32418] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 0.5 ## [32429] 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [32440] 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [32451] 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [32462] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [32473] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 ## [32484] 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [32495] 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [32506] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [32517] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 ## [32528] 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 1.0 1.0 ## [32539] 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 2.0 2.0 ## [32550] 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 2.0 2.0 ## [32561] 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 2.0 2.0 ## [32572] 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 1.0 3.0 ## [32583] 3.0 2.0 2.0 6.0 1.0 3.0 4.0 2.0 2.0 2.0 2.0 ## [32594] 4.0 3.0 2.0 3.0 2.0 2.0 2.0 2.0 2.0 4.0 2.0 ## [32605] 2.0 3.0 4.0 2.0 2.0 2.0 3.0 2.0 5.0 2.0 1.0 ## [32616] 1.0 2.0 2.0 2.0 3.0 3.0 4.0 2.0 2.0 5.0 6.0 ## [32627] 3.0 3.0 3.0 2.0 4.0 2.0 2.0 4.0 6.0 2.0 1.0 ## [32638] 2.0 2.0 1.0 1.0 3.0 2.0 5.0 2.0 3.0 1.0 3.0 ## [32649] 2.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 4.0 3.0 2.0 ## [32660] 2.0 2.0 3.0 1.0 2.0 2.0 1.0 3.0 2.0 6.0 4.0 ## [32671] 5.0 3.0 1.0 1.0 3.0 2.0 1.0 1.0 2.0 4.0 2.0 ## [32682] 3.0 2.0 2.0 2.0 1.0 2.0 1.0 2.0 1.0 4.0 2.0 ## [32693] 1.0 2.0 4.0 2.0 9.0 10.5 10.5 10.0 10.5 10.0 6.0 ## [32704] 8.0 10.0 9.0 10.5 10.0 10.5 10.0 10.5 8.0 10.5 10.0 ## [32715] 10.5 10.5 10.5 10.0 10.0 10.0 10.0 10.0 10.5 10.5 13.0 ## [32726] 12.0 14.0 14.0 11.0 13.0 14.0 22.0 23.0 30.0 27.0 18.0 ## [32737] 23.0 27.0 29.0 35.0 34.0 29.0 27.0 17.0 18.0 21.0 23.0 ## [32748] 24.0 27.0 35.0 42.0 14.0 15.0 24.0 14.0 27.0 25.0 24.0 ## [32759] 28.0 42.0 30.0 43.0 22.0 26.0 40.0 13.0 27.0 31.0 41.0 ## [32770] 41.0 46.0 12.0 47.0 26.0 38.0 18.0 19.0 23.0 16.0 14.0 ## [32781] 23.0 27.0 13.0 18.0 14.0 21.0 18.0 19.0 24.0 25.0 15.0 ## [32792] 22.0 23.0 27.0 25.0 36.0 33.0 38.0 43.0 15.0 34.0 46.0 ## [32803] 40.0 13.0 15.0 17.0 19.0 22.0 14.0 20.0 23.0 33.0 36.0 ## [32814] 34.0 16.0 16.0 15.0 26.0 27.0 14.0 29.0 25.0 45.0 46.0 ## [32825] 17.0 16.0 12.0 15.0 18.0 16.0 21.0 16.0 23.0 25.0 35.0 ## [32836] 32.0 47.0 12.0 22.0 15.0 13.0 20.0 38.0 20.0 30.0 23.0 ## [32847] 18.0 34.0 26.0 22.0 20.0 19.0 15.0 19.0 25.0 38.0 20.0 ## [32858] 12.0 12.0 12.0 12.0 21.0 22.0 23.0 21.0 29.0 44.0 13.0 ## [32869] 22.0 12.0 15.0 13.0 18.0 21.0 31.0 25.0 29.0 36.0 47.0 ## [32880] 22.0 19.0 29.0 29.0 38.0 36.0 18.0 46.0 26.0 39.0 14.0 ## [32891] 18.0 17.0 30.0 37.0 22.0 16.0 27.0 32.0 35.0 22.0 23.0 ## [32902] 18.0 47.0 19.0 14.0 43.0 14.0 12.0 14.0 16.0 19.0 27.0 ## [32913] 44.0 18.0 15.0 30.0 37.0 31.0 33.0 23.0 41.0 23.0 43.0 ## [32924] 13.0 13.0 16.0 20.0 16.0 11.0 17.0 20.0 15.0 16.0 34.0 ## [32935] 17.0 17.0 25.0 13.0 13.0 30.0 14.0 22.0 12.0 13.0 17.0 ## [32946] 27.0 14.0 38.0 12.0 13.0 27.0 33.0 13.0 20.0 19.0 28.0 ## [32957] 14.0 37.0 41.0 39.0 12.0 18.0 14.0 16.0 23.0 43.0 16.0 ## [32968] 14.0 16.0 12.0 26.0 19.0 19.0 21.0 14.0 34.0 32.0 15.0 ## [32979] 45.0 34.0 22.0 32.0 22.0 39.0 24.0 21.0 43.0 17.0 17.0 ## [32990] 23.0 18.0 15.0 23.0 15.0 19.0 22.0 40.0 19.0 43.0 12.0 ## [33001] 21.0 15.0 29.0 15.0 22.0 19.0 22.0 24.0 46.0 41.0 21.0 ## [33012] 12.0 13.0 27.0 19.0 22.0 18.0 15.0 17.0 27.0 11.0 21.0 ## [33023] 26.0 23.0 45.0 12.0 17.0 12.0 12.0 12.0 14.0 13.0 13.0 ## [33034] 15.0 12.0 15.0 13.0 12.0 13.0 13.0 12.0 13.0 12.0 13.0 ## [33045] 13.0 12.0 12.0 12.0 12.0 13.0 12.0 12.0 14.0 14.0 14.0 ## [33056] 12.0 11.0 13.0 12.0 14.0 12.0 12.0 12.0 12.0 12.0 12.0 ## [33067] 12.0 16.0 13.0 11.0 13.0 13.0 14.0 12.0 12.0 16.0 12.0 ## [33078] 12.0 13.0 12.0 12.0 16.0 13.0 12.0 15.0 13.0 12.0 16.0 ## [33089] 16.0 11.0 14.0 13.0 18.0 13.0 16.0 12.0 17.0 14.0 16.0 ## [33100] 13.0 15.0 12.0 13.0 14.0 14.0 17.0 19.0 18.0 24.0 14.0 ## [33111] 13.0 15.0 22.0 20.0 19.0 19.0 22.0 21.0 16.0 18.0 17.0 ## [33122] 32.0 12.0 15.0 15.0 20.0 19.0 34.0 35.0 18.0 19.0 12.0 ## [33133] 16.0 14.0 14.0 21.0 21.0 27.0 14.0 41.0 13.0 20.0 40.0 ## [33144] 12.0 12.0 16.0 16.0 24.0 20.0 16.0 35.0 21.0 21.0 21.0 ## [33155] 15.0 25.0 24.0 26.0 34.0 15.0 15.0 13.0 21.0 15.0 18.0 ## [33166] 25.0 16.0 21.0 16.0 14.0 13.0 17.0 13.0 21.0 22.0 26.0 ## [33177] 30.0 42.0 17.0 20.0 21.0 23.0 26.0 32.0 14.0 12.0 11.0 ## [33188] 20.0 16.0 17.0 12.0 14.0 15.0 12.0 22.0 22.0 20.0 23.0 ## [33199] 19.0 21.0 24.0 25.0 28.0 30.0 14.0 21.0 17.0 18.0 16.0 ## [33210] 18.0 15.0 24.0 17.0 20.0 12.0 15.0 13.0 13.0 14.0 20.0 ## [33221] 12.0 20.0 20.0 19.0 16.0 19.0 25.0 17.0 24.0 21.0 19.0 ## [33232] 27.0 27.0 33.0 40.0 35.0 41.0 14.0 21.0 15.0 23.0 16.0 ## [33243] 15.0 18.0 34.0 29.0 27.0 32.0 43.0 13.0 15.0 12.0 11.0 ## [33254] 19.0 21.0 21.0 29.0 33.0 32.0 29.0 33.0 36.0 42.0 17.0 ## [33265] 24.0 17.0 24.0 12.0 14.0 14.0 15.0 16.0 18.0 16.0 17.0 ## [33276] 19.0 24.0 28.0 24.0 23.0 30.0 23.0 32.0 31.0 32.0 47.0 ## [33287] 18.0 27.0 21.0 19.0 32.0 33.0 38.0 20.0 25.0 38.0 18.0 ## [33298] 20.0 43.0 46.0 13.0 12.0 14.0 16.0 14.0 16.0 19.0 19.0 ## [33309] 16.0 19.0 32.0 23.0 20.0 24.0 23.0 31.0 28.0 14.0 17.0 ## [33320] 14.0 12.0 26.0 13.0 13.0 17.0 16.0 23.0 27.0 24.0 22.0 ## [33331] 24.0 25.0 22.0 22.0 28.0 30.0 40.0 37.0 15.0 19.0 16.0 ## [33342] 28.0 35.0 32.0 36.0 34.0 33.0 39.0 38.0 15.0 18.0 14.0 ## [33353] 15.0 22.0 26.0 33.0 23.0 17.0 24.0 36.0 32.0 38.0 14.0 ## [33364] 17.0 12.0 14.0 13.0 16.0 18.0 26.0 29.0 36.0 48.0 12.0 ## [33375] 17.0 19.0 26.0 23.0 28.0 29.0 37.0 20.0 36.0 48.0 15.0 ## [33386] 18.0 17.0 27.0 26.0 34.0 15.0 31.0 43.0 14.0 13.0 31.0 ## [33397] 18.0 15.0 18.0 20.0 22.0 35.0 29.0 43.0 42.0 14.0 18.0 ## [33408] 31.0 13.0 12.0 12.0 20.0 19.0 18.0 18.0 18.0 23.0 21.0 ## [33419] 23.0 24.0 25.0 21.0 28.0 42.0 27.0 46.0 43.0 13.0 17.0 ## [33430] 16.0 16.0 13.0 18.0 14.0 22.0 20.0 40.0 32.0 27.0 31.0 ## [33441] 19.0 31.0 31.0 41.0 39.0 32.0 45.0 30.0 36.0 37.0 36.0 ## [33452] 15.0 12.0 18.0 12.0 13.0 14.0 16.0 16.0 22.0 21.0 61.0 ## [33463] 62.0 77.0 52.0 63.0 58.0 52.0 50.0 61.0 58.0 57.0 83.0 ## [33474] 82.0 54.0 62.0 152.0 57.0 55.0 70.0 50.0 59.0 94.0 138.0 ## [33485] 54.0 305.0 64.0 59.0 84.0 59.0 99.0 62.0 49.0 53.0 52.0 ## [33496] 142.0 58.0 104.0 62.0 105.0 49.0 107.0 63.0 51.0 76.0 50.0 ## [33507] 83.0 112.0 49.0 94.0 56.0 50.0 77.0 63.0 55.0 65.0 68.0 ## [33518] 196.0 58.0 68.0 56.0 50.0 109.0 73.0 50.0 52.0 54.0 107.0 ## [33529] 51.0 83.0 64.0 70.0 55.0 62.0 72.0 54.0 51.0 63.0 51.0 ## [33540] 50.0 54.0 67.0 169.0 176.0 3.0 4.0 7.0 5.0 7.0 3.0 ## [33551] 10.5 10.0 5.0 5.0 6.0 7.0 7.0 4.0 7.0 5.0 4.0 ## [33562] 5.0 5.0 7.0 8.0 6.0 9.0 7.0 6.0 6.0 7.0 9.0 ## [33573] 4.0 5.0 6.0 6.0 5.0 5.0 6.0 5.0 6.0 9.0 5.0 ## [33584] 10.5 5.0 8.0 8.0 5.0 6.0 5.0 5.0 8.0 5.0 8.0 ## [33595] 7.0 6.0 5.0 4.0 5.0 5.0 10.5 6.0 10.0 8.0 5.0 ## [33606] 9.0 5.0 10.0 5.0 7.0 4.0 5.0 7.0 4.0 5.0 5.0 ## [33617] 4.0 7.0 7.0 4.0 7.0 1.0 4.0 7.0 4.0 2.0 2.0 ## [33628] 10.5 10.5 9.0 10.5 10.5 10.5 9.0 3.0 9.0 8.0 10.0 ## [33639] 10.5 10.0 6.0 10.5 10.0 10.5 8.0 0.5 9.0 8.0 6.0 ## [33650] 0.5 9.0 0.5 8.0 1.0 10.0 0.5 0.5 0.5 0.5 10.5 ## [33661] 1.0 8.0 0.5 0.5 0.5 3.0 4.0 2.0 3.0 2.0 3.0 ## [33672] 3.0 4.0 1.0 2.0 4.0 3.0 5.0 4.0 4.0 5.0 5.0 ## [33683] 1.0 2.0 1.0 3.0 2.0 3.0 2.0 4.0 3.0 4.0 5.0 ## [33694] 6.0 6.0 0.5 4.0 4.0 2.0 4.0 2.0 2.0 2.0 1.0 ## [33705] 2.0 4.0 0.5 4.0 4.0 4.0 5.0 4.0 3.0 2.0 3.0 ## [33716] 4.0 2.0 0.5 4.0 2.0 4.0 4.0 4.0 5.0 2.0 2.0 ## [33727] 1.0 1.0 0.5 1.0 3.0 4.0 2.0 3.0 5.0 4.0 5.0 ## [33738] 4.0 2.0 0.5 2.0 1.0 3.0 4.0 5.0 3.0 4.0 4.0 ## [33749] 3.0 2.0 0.5 1.0 3.0 4.0 1.0 3.0 2.0 3.0 4.0 ## [33760] 6.0 5.0 1.0 1.0 6.0 3.0 2.0 2.0 3.0 4.0 3.0 ## [33771] 3.0 6.0 0.5 2.0 2.0 2.0 1.0 2.0 2.0 2.0 2.0 ## [33782] 3.0 3.0 0.5 3.0 5.0 4.0 4.0 7.0 4.0 5.0 5.0 ## [33793] 4.0 10.0 0.5 5.0 2.0 3.0 3.0 5.0 3.0 2.0 4.0 ## [33804] 4.0 1.0 0.5 3.0 3.0 4.0 5.0 4.0 2.0 1.0 3.0 ## [33815] 2.0 1.0 0.5 3.0 3.0 6.0 4.0 2.0 1.0 2.0 4.0 ## [33826] 3.0 3.0 0.5 1.0 2.0 2.0 3.0 5.0 3.0 4.0 3.0 ## [33837] 1.0 5.0 0.5 2.0 3.0 2.0 2.0 2.0 2.0 1.0 4.0 ## [33848] 5.0 2.0 0.5 1.0 2.0 2.0 3.0 4.0 5.0 3.0 2.0 ## [33859] 3.0 2.0 1.0 2.0 5.0 2.0 1.0 2.0 2.0 2.0 1.0 ## [33870] 6.0 4.0 1.0 5.0 5.0 1.0 4.0 3.0 4.0 2.0 1.0 ## [33881] 2.0 3.0 1.0 4.0 3.0 3.0 5.0 2.0 1.0 2.0 1.0 ## [33892] 3.0 4.0 0.5 3.0 4.0 1.0 4.0 2.0 2.0 2.0 2.0 ## [33903] 2.0 2.0 0.5 3.0 3.0 2.0 3.0 2.0 3.0 4.0 3.0 ## [33914] 1.0 2.0 0.5 3.0 4.0 3.0 6.0 3.0 1.0 2.0 3.0 ## [33925] 4.0 5.0 1.0 3.0 3.0 3.0 2.0 2.0 3.0 2.0 4.0 ## [33936] 4.0 2.0 0.5 3.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 ## [33947] 6.0 3.0 0.5 4.0 3.0 5.0 3.0 3.0 5.0 2.0 2.0 ## [33958] 3.0 3.0 1.0 1.0 4.0 4.0 2.0 4.0 4.0 3.0 4.0 ## [33969] 4.0 2.0 1.0 3.0 1.0 2.0 4.0 3.0 2.0 3.0 4.0 ## [33980] 4.0 2.0 1.0 3.0 3.0 2.0 5.0 3.0 4.0 4.0 3.0 ## [33991] 4.0 3.0 0.5 2.0 2.0 3.0 5.0 4.0 5.0 2.0 2.0 ## [34002] 3.0 4.0 0.5 3.0 2.0 2.0 2.0 2.0 1.0 5.0 5.0 ## [34013] 7.0 2.0 0.5 2.0 1.0 6.0 2.0 3.0 4.0 2.0 2.0 ## [34024] 3.0 3.0 1.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0 3.0 ## [34035] 5.0 3.0 0.5 2.0 2.0 3.0 2.0 3.0 5.0 3.0 2.0 ## [34046] 2.0 2.0 0.5 2.0 2.0 3.0 4.0 5.0 2.0 3.0 4.0 ## [34057] 0.5 1.0 0.5 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 ## [34068] 1.0 1.0 0.5 2.0 1.0 2.0 2.0 1.0 1.0 0.5 1.0 ## [34079] 1.0 2.0 0.5 0.5 1.0 1.0 0.5 0.5 2.0 0.5 0.5 ## [34090] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 0.5 1.0 ## [34101] 0.5 0.5 0.5 1.0 1.0 2.0 0.5 0.5 0.5 0.5 2.0 ## [34112] 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [34123] 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 2.0 ## [34134] 1.0 1.0 0.5 1.0 1.0 1.0 0.5 1.0 2.0 1.0 1.0 ## [34145] 1.0 2.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 1.0 1.0 ## [34156] 0.5 1.0 0.5 1.0 1.0 1.0 2.0 1.0 0.5 1.0 0.5 ## [34167] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [34178] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [34189] 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 1.0 1.0 ## [34200] 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 1.0 ## [34211] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [34222] 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 1.0 1.0 ## [34233] 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [34244] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 2.0 1.0 1.0 ## [34255] 1.0 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [34266] 1.0 1.0 0.5 4.0 9.0 6.0 10.5 9.0 6.0 5.0 5.0 ## [34277] 8.0 7.0 0.5 9.0 10.0 10.5 7.0 8.0 5.0 4.0 6.0 ## [34288] 6.0 6.0 0.5 8.0 6.0 10.5 8.0 9.0 9.0 10.0 4.0 ## [34299] 0.5 5.0 10.0 10.0 6.0 8.0 10.0 6.0 8.0 7.0 7.0 ## [34310] 1.0 8.0 7.0 7.0 9.0 7.0 7.0 7.0 6.0 7.0 0.5 ## [34321] 6.0 7.0 7.0 9.0 10.0 4.0 3.0 7.0 7.0 1.0 9.0 ## [34332] 5.0 6.0 5.0 7.0 6.0 4.0 7.0 1.0 9.0 10.0 9.0 ## [34343] 10.5 5.0 8.0 10.0 10.0 10.5 1.0 4.0 8.0 6.0 7.0 ## [34354] 9.0 10.0 8.0 10.5 3.0 6.0 0.5 5.0 5.0 7.0 10.5 ## [34365] 7.0 8.0 8.0 6.0 10.0 10.0 0.5 5.0 8.0 8.0 8.0 ## [34376] 10.0 3.0 10.0 6.0 5.0 0.5 6.0 7.0 8.0 7.0 8.0 ## [34387] 7.0 7.0 7.0 6.0 8.0 1.0 8.0 10.5 8.0 10.0 6.0 ## [34398] 4.0 9.0 8.0 10.5 1.0 9.0 7.0 8.0 5.0 6.0 0.5 ## [34409] 4.0 6.0 10.0 6.0 6.0 9.0 6.0 7.0 0.5 8.0 7.0 ## [34420] 9.0 8.0 9.0 10.5 10.0 9.0 10.0 0.5 8.0 5.0 7.0 ## [34431] 7.0 8.0 6.0 10.0 0.5 8.0 8.0 4.0 7.0 7.0 10.0 ## [34442] 7.0 0.5 8.0 5.0 6.0 8.0 9.0 5.0 5.0 7.0 1.0 ## [34453] 7.0 6.0 8.0 8.0 4.0 7.0 8.0 6.0 9.0 0.5 10.5 ## [34464] 10.0 10.0 7.0 10.0 10.5 8.0 0.5 10.0 7.0 8.0 8.0 ## [34475] 5.0 10.0 10.5 9.0 0.5 7.0 7.0 8.0 4.0 6.0 7.0 ## [34486] 10.0 7.0 1.0 10.0 10.0 5.0 6.0 9.0 7.0 10.0 10.0 ## [34497] 1.0 5.0 9.0 7.0 6.0 9.0 6.0 8.0 6.0 1.0 9.0 ## [34508] 5.0 6.0 6.0 5.0 9.0 10.0 9.0 4.0 0.5 10.0 7.0 ## [34519] 6.0 7.0 10.0 10.0 10.5 10.0 7.0 1.0 7.0 7.0 9.0 ## [34530] 9.0 10.0 9.0 10.5 6.0 10.0 1.0 7.0 7.0 9.0 6.0 ## [34541] 10.5 5.0 7.0 9.0 9.0 2.0 0.5 7.0 5.0 6.0 8.0 ## [34552] 10.5 7.0 10.5 1.0 5.0 6.0 6.0 10.0 5.0 8.0 6.0 ## [34563] 7.0 0.5 10.0 5.0 10.0 9.0 5.0 6.0 10.5 1.0 8.0 ## [34574] 6.0 6.0 8.0 8.0 8.0 5.0 7.0 7.0 0.5 9.0 5.0 ## [34585] 8.0 7.0 10.0 8.0 8.0 6.0 5.0 0.5 7.0 10.0 5.0 ## [34596] 5.0 5.0 8.0 4.0 0.5 5.0 6.0 6.0 6.0 8.0 9.0 ## [34607] 7.0 10.5 6.0 0.5 6.0 3.0 7.0 10.5 10.5 9.0 9.0 ## [34618] 4.0 7.0 6.0 0.5 8.0 5.0 10.0 7.0 5.0 7.0 10.0 ## [34629] 0.5 8.0 8.0 9.0 10.5 10.0 7.0 6.0 9.0 0.5 8.0 ## [34640] 5.0 5.0 8.0 8.0 7.0 6.0 6.0 8.0 1.0 8.0 5.0 ## [34651] 7.0 2.0 8.0 7.0 10.5 7.0 8.0 1.0 9.0 7.0 9.0 ## [34662] 9.0 9.0 6.0 9.0 7.0 4.0 4.0 1.0 9.0 9.0 10.0 ## [34673] 10.0 5.0 5.0 10.5 0.5 4.0 7.0 8.0 8.0 9.0 9.0 ## [34684] 7.0 8.0 7.0 7.0 0.5 7.0 9.0 7.0 10.0 5.0 7.0 ## [34695] 8.0 10.0 8.0 0.5 5.0 2.0 8.0 6.0 6.0 6.0 8.0 ## [34706] 8.0 0.5 8.0 7.0 9.0 6.0 5.0 4.0 10.0 3.0 6.0 ## [34717] 0.5 6.0 9.0 10.5 3.0 8.0 8.0 5.0 5.0 6.0 0.5 ## [34728] 9.0 9.0 6.0 9.0 7.0 6.0 10.0 6.0 8.0 9.0 1.0 ## [34739] 5.0 7.0 10.0 9.0 5.0 10.5 6.0 1.0 8.0 10.5 10.5 ## [34750] 5.0 6.0 5.0 7.0 8.0 8.0 1.0 7.0 6.0 4.0 7.0 ## [34761] 9.0 7.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [34772] 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [34783] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [34794] 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [34805] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 ## [34816] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 0.5 1.0 0.5 ## [34827] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 ## [34838] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [34849] 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [34860] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [34871] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 0.5 ## [34882] 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [34893] 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [34904] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [34915] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 1.0 1.0 ## [34926] 1.0 0.5 0.5 0.5 1.0 0.5 0.5 1.0 1.0 0.5 1.0 ## [34937] 0.5 0.5 1.0 0.5 2.0 2.0 1.0 2.0 2.0 3.0 2.0 ## [34948] 4.0 4.0 1.0 4.0 3.0 3.0 2.0 2.0 2.0 3.0 3.0 ## [34959] 3.0 1.0 2.0 3.0 3.0 3.0 4.0 2.0 2.0 3.0 2.0 ## [34970] 2.0 2.0 1.0 3.0 3.0 1.0 2.0 1.0 3.0 3.0 2.0 ## [34981] 2.0 6.0 1.0 3.0 4.0 2.0 2.0 2.0 2.0 4.0 3.0 ## [34992] 2.0 3.0 2.0 2.0 2.0 2.0 2.0 4.0 2.0 2.0 3.0 ## [35003] 4.0 2.0 2.0 2.0 3.0 2.0 5.0 2.0 1.0 1.0 2.0 ## [35014] 2.0 2.0 3.0 3.0 4.0 2.0 2.0 5.0 6.0 3.0 3.0 ## [35025] 3.0 2.0 4.0 2.0 2.0 4.0 6.0 2.0 1.0 2.0 2.0 ## [35036] 1.0 1.0 3.0 2.0 5.0 2.0 3.0 1.0 3.0 2.0 3.0 ## [35047] 3.0 3.0 3.0 1.0 1.0 2.0 4.0 3.0 2.0 2.0 2.0 ## [35058] 3.0 1.0 2.0 2.0 1.0 3.0 2.0 6.0 4.0 5.0 3.0 ## [35069] 1.0 1.0 3.0 2.0 1.0 1.0 2.0 4.0 2.0 3.0 2.0 ## [35080] 2.0 2.0 1.0 2.0 1.0 2.0 1.0 4.0 2.0 1.0 2.0 ## [35091] 4.0 2.0 9.0 10.5 10.5 10.0 10.5 10.0 6.0 8.0 10.0 ## [35102] 9.0 10.5 10.0 10.5 10.0 10.5 8.0 10.5 10.0 10.5 10.5 ## [35113] 10.5 10.0 10.0 10.0 10.0 10.0 10.5 10.5 13.0 12.0 14.0 ## [35124] 14.0 11.0 13.0 14.0 22.0 23.0 30.0 27.0 18.0 23.0 27.0 ## [35135] 29.0 35.0 34.0 29.0 27.0 17.0 18.0 21.0 23.0 24.0 27.0 ## [35146] 35.0 42.0 14.0 15.0 24.0 14.0 27.0 25.0 24.0 28.0 42.0 ## [35157] 30.0 43.0 22.0 26.0 40.0 13.0 27.0 31.0 41.0 41.0 46.0 ## [35168] 12.0 47.0 26.0 38.0 18.0 19.0 23.0 16.0 14.0 23.0 27.0 ## [35179] 13.0 18.0 14.0 21.0 18.0 19.0 24.0 25.0 15.0 22.0 23.0 ## [35190] 27.0 25.0 36.0 33.0 38.0 43.0 15.0 34.0 46.0 40.0 13.0 ## [35201] 15.0 17.0 19.0 22.0 14.0 20.0 23.0 33.0 36.0 34.0 16.0 ## [35212] 16.0 15.0 26.0 27.0 14.0 29.0 25.0 45.0 46.0 17.0 16.0 ## [35223] 12.0 15.0 18.0 16.0 21.0 16.0 23.0 25.0 35.0 32.0 47.0 ## [35234] 12.0 22.0 15.0 13.0 20.0 38.0 20.0 30.0 23.0 18.0 34.0 ## [35245] 26.0 22.0 20.0 19.0 15.0 19.0 25.0 38.0 20.0 12.0 12.0 ## [35256] 12.0 12.0 21.0 22.0 23.0 21.0 29.0 44.0 13.0 22.0 12.0 ## [35267] 15.0 13.0 18.0 21.0 31.0 25.0 29.0 36.0 47.0 22.0 19.0 ## [35278] 29.0 29.0 38.0 36.0 18.0 46.0 26.0 39.0 14.0 18.0 17.0 ## [35289] 30.0 37.0 22.0 16.0 27.0 32.0 35.0 22.0 23.0 18.0 47.0 ## [35300] 19.0 14.0 43.0 14.0 12.0 14.0 16.0 19.0 27.0 44.0 18.0 ## [35311] 15.0 30.0 37.0 31.0 33.0 23.0 41.0 23.0 43.0 13.0 13.0 ## [35322] 16.0 20.0 16.0 11.0 17.0 20.0 15.0 16.0 34.0 17.0 17.0 ## [35333] 25.0 13.0 13.0 30.0 14.0 22.0 12.0 13.0 17.0 27.0 14.0 ## [35344] 38.0 12.0 13.0 27.0 33.0 13.0 20.0 19.0 28.0 14.0 37.0 ## [35355] 41.0 39.0 12.0 18.0 14.0 16.0 23.0 43.0 16.0 14.0 16.0 ## [35366] 12.0 26.0 19.0 19.0 21.0 14.0 34.0 32.0 15.0 45.0 34.0 ## [35377] 22.0 32.0 22.0 39.0 24.0 21.0 43.0 17.0 17.0 23.0 18.0 ## [35388] 15.0 23.0 15.0 19.0 22.0 40.0 19.0 43.0 12.0 21.0 15.0 ## [35399] 29.0 15.0 22.0 19.0 22.0 24.0 46.0 41.0 21.0 12.0 13.0 ## [35410] 27.0 19.0 22.0 18.0 15.0 17.0 27.0 11.0 21.0 26.0 23.0 ## [35421] 45.0 12.0 17.0 12.0 12.0 12.0 14.0 13.0 13.0 15.0 12.0 ## [35432] 15.0 13.0 12.0 13.0 13.0 12.0 13.0 12.0 13.0 13.0 12.0 ## [35443] 12.0 12.0 12.0 13.0 12.0 12.0 14.0 14.0 14.0 12.0 11.0 ## [35454] 13.0 12.0 14.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 16.0 ## [35465] 13.0 11.0 13.0 13.0 14.0 12.0 12.0 16.0 12.0 12.0 13.0 ## [35476] 12.0 12.0 16.0 13.0 12.0 15.0 13.0 12.0 16.0 16.0 11.0 ## [35487] 14.0 13.0 18.0 13.0 16.0 12.0 17.0 14.0 16.0 13.0 15.0 ## [35498] 12.0 13.0 14.0 14.0 17.0 19.0 18.0 24.0 14.0 13.0 15.0 ## [35509] 22.0 20.0 19.0 19.0 22.0 21.0 16.0 18.0 17.0 32.0 12.0 ## [35520] 15.0 15.0 20.0 19.0 34.0 35.0 18.0 19.0 12.0 16.0 14.0 ## [35531] 14.0 21.0 21.0 27.0 14.0 41.0 13.0 20.0 40.0 12.0 12.0 ## [35542] 16.0 16.0 24.0 20.0 16.0 35.0 21.0 21.0 21.0 15.0 25.0 ## [35553] 24.0 26.0 34.0 15.0 15.0 13.0 21.0 15.0 18.0 25.0 16.0 ## [35564] 21.0 16.0 14.0 13.0 17.0 13.0 21.0 22.0 26.0 30.0 42.0 ## [35575] 17.0 20.0 21.0 23.0 26.0 32.0 14.0 12.0 11.0 20.0 16.0 ## [35586] 17.0 12.0 14.0 15.0 12.0 22.0 22.0 20.0 23.0 19.0 21.0 ## [35597] 24.0 25.0 28.0 30.0 14.0 21.0 17.0 18.0 16.0 18.0 15.0 ## [35608] 24.0 17.0 20.0 12.0 15.0 13.0 13.0 14.0 20.0 12.0 20.0 ## [35619] 20.0 19.0 16.0 19.0 25.0 17.0 24.0 21.0 19.0 27.0 27.0 ## [35630] 33.0 40.0 35.0 41.0 14.0 21.0 15.0 23.0 16.0 15.0 18.0 ## [35641] 34.0 29.0 27.0 32.0 43.0 13.0 15.0 12.0 11.0 19.0 21.0 ## [35652] 21.0 29.0 33.0 32.0 29.0 33.0 36.0 42.0 17.0 24.0 17.0 ## [35663] 24.0 12.0 14.0 14.0 15.0 16.0 18.0 16.0 17.0 19.0 24.0 ## [35674] 28.0 24.0 23.0 30.0 23.0 32.0 31.0 32.0 47.0 18.0 27.0 ## [35685] 21.0 19.0 32.0 33.0 38.0 20.0 25.0 38.0 18.0 20.0 43.0 ## [35696] 46.0 13.0 12.0 14.0 16.0 14.0 16.0 19.0 19.0 16.0 19.0 ## [35707] 32.0 23.0 20.0 24.0 23.0 31.0 28.0 14.0 17.0 14.0 12.0 ## [35718] 26.0 13.0 13.0 17.0 16.0 23.0 27.0 24.0 22.0 24.0 25.0 ## [35729] 22.0 22.0 28.0 30.0 40.0 37.0 15.0 19.0 16.0 28.0 35.0 ## [35740] 32.0 36.0 34.0 33.0 39.0 38.0 15.0 18.0 14.0 15.0 22.0 ## [35751] 26.0 33.0 23.0 17.0 24.0 36.0 32.0 38.0 14.0 17.0 12.0 ## [35762] 14.0 13.0 16.0 18.0 26.0 29.0 36.0 48.0 12.0 17.0 19.0 ## [35773] 26.0 23.0 28.0 29.0 37.0 20.0 36.0 48.0 15.0 18.0 17.0 ## [35784] 27.0 26.0 34.0 15.0 31.0 43.0 14.0 13.0 31.0 18.0 15.0 ## [35795] 18.0 20.0 22.0 35.0 29.0 43.0 42.0 14.0 18.0 31.0 13.0 ## [35806] 12.0 12.0 20.0 19.0 18.0 18.0 18.0 23.0 21.0 23.0 24.0 ## [35817] 25.0 21.0 28.0 42.0 27.0 46.0 43.0 13.0 17.0 16.0 16.0 ## [35828] 13.0 18.0 14.0 22.0 20.0 40.0 32.0 27.0 31.0 19.0 31.0 ## [35839] 31.0 41.0 39.0 32.0 45.0 30.0 36.0 37.0 36.0 15.0 12.0 ## [35850] 18.0 12.0 13.0 14.0 16.0 16.0 22.0 21.0 61.0 62.0 77.0 ## [35861] 52.0 63.0 58.0 52.0 50.0 61.0 58.0 57.0 83.0 82.0 54.0 ## [35872] 62.0 152.0 57.0 55.0 70.0 50.0 59.0 94.0 138.0 54.0 305.0 ## [35883] 64.0 59.0 84.0 59.0 99.0 62.0 49.0 53.0 52.0 142.0 58.0 ## [35894] 104.0 62.0 105.0 49.0 107.0 63.0 51.0 76.0 50.0 83.0 112.0 ## [35905] 49.0 94.0 56.0 50.0 77.0 63.0 55.0 65.0 68.0 196.0 58.0 ## [35916] 68.0 56.0 50.0 109.0 73.0 50.0 52.0 54.0 107.0 51.0 83.0 ## [35927] 64.0 70.0 55.0 62.0 72.0 54.0 51.0 63.0 51.0 50.0 54.0 ## [35938] 67.0 169.0 176.0 3.0 4.0 7.0 5.0 7.0 3.0 10.5 10.0 ## [35949] 5.0 5.0 6.0 7.0 7.0 4.0 7.0 5.0 4.0 5.0 5.0 ## [35960] 7.0 8.0 6.0 9.0 7.0 6.0 6.0 7.0 9.0 4.0 5.0 ## [35971] 6.0 6.0 5.0 5.0 6.0 5.0 6.0 9.0 5.0 10.5 5.0 ## [35982] 8.0 8.0 5.0 6.0 5.0 5.0 8.0 5.0 8.0 7.0 6.0 ## [35993] 5.0 4.0 5.0 5.0 10.5 6.0 10.0 8.0 5.0 9.0 5.0 ## [36004] 10.0 5.0 7.0 4.0 5.0 7.0 4.0 5.0 5.0 4.0 7.0 ## [36015] 7.0 4.0 7.0 1.0 4.0 7.0 4.0 2.0 2.0 10.5 10.5 ## [36026] 9.0 10.5 10.5 10.5 9.0 3.0 9.0 8.0 10.0 10.5 10.0 ## [36037] 6.0 10.5 10.0 10.5 8.0 0.5 9.0 8.0 6.0 0.5 9.0 ## [36048] 0.5 8.0 1.0 10.0 0.5 0.5 0.5 0.5 10.5 1.0 8.0 ## [36059] 0.5 0.5 0.5 3.0 4.0 2.0 3.0 2.0 3.0 3.0 4.0 ## [36070] 1.0 2.0 4.0 3.0 5.0 4.0 4.0 5.0 5.0 1.0 2.0 ## [36081] 1.0 3.0 2.0 3.0 2.0 4.0 3.0 4.0 5.0 6.0 6.0 ## [36092] 0.5 4.0 4.0 2.0 4.0 2.0 2.0 2.0 1.0 2.0 4.0 ## [36103] 0.5 4.0 4.0 4.0 5.0 4.0 3.0 2.0 3.0 4.0 2.0 ## [36114] 0.5 4.0 2.0 4.0 4.0 4.0 5.0 2.0 2.0 1.0 1.0 ## [36125] 0.5 1.0 3.0 4.0 2.0 3.0 5.0 4.0 5.0 4.0 2.0 ## [36136] 0.5 2.0 1.0 3.0 4.0 5.0 3.0 4.0 4.0 3.0 2.0 ## [36147] 0.5 1.0 3.0 4.0 1.0 3.0 2.0 3.0 4.0 6.0 5.0 ## [36158] 1.0 1.0 6.0 3.0 2.0 2.0 3.0 4.0 3.0 3.0 6.0 ## [36169] 0.5 2.0 2.0 2.0 1.0 2.0 2.0 2.0 2.0 3.0 3.0 ## [36180] 0.5 3.0 5.0 4.0 4.0 7.0 4.0 5.0 5.0 4.0 10.0 ## [36191] 0.5 5.0 2.0 3.0 3.0 5.0 3.0 2.0 4.0 4.0 1.0 ## [36202] 0.5 3.0 3.0 4.0 5.0 4.0 2.0 1.0 3.0 2.0 1.0 ## [36213] 0.5 3.0 3.0 6.0 4.0 2.0 1.0 2.0 4.0 3.0 3.0 ## [36224] 0.5 1.0 2.0 2.0 3.0 5.0 3.0 4.0 3.0 1.0 5.0 ## [36235] 0.5 2.0 3.0 2.0 2.0 2.0 2.0 1.0 4.0 5.0 2.0 ## [36246] 0.5 1.0 2.0 2.0 3.0 4.0 5.0 3.0 2.0 3.0 2.0 ## [36257] 1.0 2.0 5.0 2.0 1.0 2.0 2.0 2.0 1.0 6.0 4.0 ## [36268] 1.0 5.0 5.0 1.0 4.0 3.0 4.0 2.0 1.0 2.0 3.0 ## [36279] 1.0 4.0 3.0 3.0 5.0 2.0 1.0 2.0 1.0 3.0 4.0 ## [36290] 0.5 3.0 4.0 1.0 4.0 2.0 2.0 2.0 2.0 2.0 2.0 ## [36301] 0.5 3.0 3.0 2.0 3.0 2.0 3.0 4.0 3.0 1.0 2.0 ## [36312] 0.5 3.0 4.0 3.0 6.0 3.0 1.0 2.0 3.0 4.0 5.0 ## [36323] 1.0 3.0 3.0 3.0 2.0 2.0 3.0 2.0 4.0 4.0 2.0 ## [36334] 0.5 3.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 6.0 3.0 ## [36345] 0.5 4.0 3.0 5.0 3.0 3.0 5.0 2.0 2.0 3.0 3.0 ## [36356] 1.0 1.0 4.0 4.0 2.0 4.0 4.0 3.0 4.0 4.0 2.0 ## [36367] 1.0 3.0 1.0 2.0 4.0 3.0 2.0 3.0 4.0 4.0 2.0 ## [36378] 1.0 3.0 3.0 2.0 5.0 3.0 4.0 4.0 3.0 4.0 3.0 ## [36389] 0.5 2.0 2.0 3.0 5.0 4.0 5.0 2.0 2.0 3.0 4.0 ## [36400] 0.5 3.0 2.0 2.0 2.0 2.0 1.0 5.0 5.0 7.0 2.0 ## [36411] 0.5 2.0 1.0 6.0 2.0 3.0 4.0 2.0 2.0 3.0 3.0 ## [36422] 1.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0 3.0 5.0 3.0 ## [36433] 0.5 2.0 2.0 3.0 2.0 3.0 5.0 3.0 2.0 2.0 2.0 ## [36444] 0.5 2.0 2.0 3.0 4.0 5.0 2.0 3.0 4.0 0.5 1.0 ## [36455] 0.5 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 ## [36466] 0.5 2.0 1.0 2.0 2.0 1.0 1.0 0.5 1.0 1.0 2.0 ## [36477] 0.5 0.5 1.0 1.0 0.5 0.5 2.0 0.5 0.5 1.0 1.0 ## [36488] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 0.5 1.0 0.5 0.5 ## [36499] 0.5 1.0 1.0 2.0 0.5 0.5 0.5 0.5 2.0 0.5 0.5 ## [36510] 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [36521] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 2.0 1.0 1.0 ## [36532] 0.5 1.0 1.0 1.0 0.5 1.0 2.0 1.0 1.0 1.0 2.0 ## [36543] 0.5 1.0 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [36554] 0.5 1.0 1.0 1.0 2.0 1.0 0.5 1.0 0.5 0.5 1.0 ## [36565] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [36576] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [36587] 1.0 1.0 0.5 1.0 0.5 0.5 1.0 1.0 1.0 1.0 0.5 ## [36598] 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 1.0 0.5 0.5 ## [36609] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [36620] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 ## [36631] 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 ## [36642] 0.5 0.5 0.5 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 ## [36653] 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [36664] 0.5 4.0 9.0 6.0 10.5 9.0 6.0 5.0 5.0 8.0 7.0 ## [36675] 0.5 9.0 10.0 10.5 7.0 8.0 5.0 4.0 6.0 6.0 6.0 ## [36686] 0.5 8.0 6.0 10.5 8.0 9.0 9.0 10.0 4.0 0.5 5.0 ## [36697] 10.0 10.0 6.0 8.0 10.0 6.0 8.0 7.0 7.0 1.0 8.0 ## [36708] 7.0 7.0 9.0 7.0 7.0 7.0 6.0 7.0 0.5 6.0 7.0 ## [36719] 7.0 9.0 10.0 4.0 3.0 7.0 7.0 1.0 9.0 5.0 6.0 ## [36730] 5.0 7.0 6.0 4.0 7.0 1.0 9.0 10.0 9.0 10.5 5.0 ## [36741] 8.0 10.0 10.0 10.5 1.0 4.0 8.0 6.0 7.0 9.0 10.0 ## [36752] 8.0 10.5 3.0 6.0 0.5 5.0 5.0 7.0 10.5 7.0 8.0 ## [36763] 8.0 6.0 10.0 10.0 0.5 5.0 8.0 8.0 8.0 10.0 3.0 ## [36774] 10.0 6.0 5.0 0.5 6.0 7.0 8.0 7.0 8.0 7.0 7.0 ## [36785] 7.0 6.0 8.0 1.0 8.0 10.5 8.0 10.0 6.0 4.0 9.0 ## [36796] 8.0 10.5 1.0 9.0 7.0 8.0 5.0 6.0 0.5 4.0 6.0 ## [36807] 10.0 6.0 6.0 9.0 6.0 7.0 0.5 8.0 7.0 9.0 8.0 ## [36818] 9.0 10.5 10.0 9.0 10.0 0.5 8.0 5.0 7.0 7.0 8.0 ## [36829] 6.0 10.0 0.5 8.0 8.0 4.0 7.0 7.0 10.0 7.0 0.5 ## [36840] 8.0 5.0 6.0 8.0 9.0 5.0 5.0 7.0 1.0 7.0 6.0 ## [36851] 8.0 8.0 4.0 7.0 8.0 6.0 9.0 0.5 10.5 10.0 10.0 ## [36862] 7.0 10.0 10.5 8.0 0.5 10.0 7.0 8.0 8.0 5.0 10.0 ## [36873] 10.5 9.0 0.5 7.0 7.0 8.0 4.0 6.0 7.0 10.0 7.0 ## [36884] 1.0 10.0 10.0 5.0 6.0 9.0 7.0 10.0 10.0 1.0 5.0 ## [36895] 9.0 7.0 6.0 9.0 6.0 8.0 6.0 1.0 9.0 5.0 6.0 ## [36906] 6.0 5.0 9.0 10.0 9.0 4.0 0.5 10.0 7.0 6.0 7.0 ## [36917] 10.0 10.0 10.5 10.0 7.0 1.0 7.0 7.0 9.0 9.0 10.0 ## [36928] 9.0 10.5 6.0 10.0 1.0 7.0 7.0 9.0 6.0 10.5 5.0 ## [36939] 7.0 9.0 9.0 2.0 0.5 7.0 5.0 6.0 8.0 10.5 7.0 ## [36950] 10.5 1.0 5.0 6.0 6.0 10.0 5.0 8.0 6.0 7.0 0.5 ## [36961] 10.0 5.0 10.0 9.0 5.0 6.0 10.5 1.0 8.0 6.0 6.0 ## [36972] 8.0 8.0 8.0 5.0 7.0 7.0 0.5 9.0 5.0 8.0 7.0 ## [36983] 10.0 8.0 8.0 6.0 5.0 0.5 7.0 10.0 5.0 5.0 5.0 ## [36994] 8.0 4.0 0.5 5.0 6.0 6.0 6.0 8.0 9.0 7.0 10.5 ## [37005] 6.0 0.5 6.0 3.0 7.0 10.5 10.5 9.0 9.0 4.0 7.0 ## [37016] 6.0 0.5 8.0 5.0 10.0 7.0 5.0 7.0 10.0 0.5 8.0 ## [37027] 8.0 9.0 10.5 10.0 7.0 6.0 9.0 0.5 8.0 5.0 5.0 ## [37038] 8.0 8.0 7.0 6.0 6.0 8.0 1.0 8.0 5.0 7.0 2.0 ## [37049] 8.0 7.0 10.5 7.0 8.0 1.0 9.0 7.0 9.0 9.0 9.0 ## [37060] 6.0 9.0 7.0 4.0 4.0 1.0 9.0 9.0 10.0 10.0 5.0 ## [37071] 5.0 10.5 0.5 4.0 7.0 8.0 8.0 9.0 9.0 7.0 8.0 ## [37082] 7.0 7.0 0.5 7.0 9.0 7.0 10.0 5.0 7.0 8.0 10.0 ## [37093] 8.0 0.5 5.0 2.0 8.0 6.0 6.0 6.0 8.0 8.0 0.5 ## [37104] 8.0 7.0 9.0 6.0 5.0 4.0 10.0 3.0 6.0 0.5 6.0 ## [37115] 9.0 10.5 3.0 8.0 8.0 5.0 5.0 6.0 0.5 9.0 9.0 ## [37126] 6.0 9.0 7.0 6.0 10.0 6.0 8.0 9.0 1.0 5.0 7.0 ## [37137] 10.0 9.0 5.0 10.5 6.0 1.0 8.0 10.5 10.5 5.0 6.0 ## [37148] 5.0 7.0 8.0 8.0 1.0 7.0 6.0 4.0 7.0 9.0 7.0 ## [37159] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [37170] 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [37181] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [37192] 1.0 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 ## [37203] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 ## [37214] 0.5 1.0 1.0 1.0 0.5 1.0 0.5 1.0 0.5 0.5 1.0 ## [37225] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 ## [37236] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 ## [37247] 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [37258] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [37269] 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [37280] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [37291] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [37302] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [37313] 0.5 0.5 0.5 1.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 ## [37324] 0.5 0.5 1.0 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [37335] 1.0 0.5 2.0 2.0 1.0 2.0 2.0 3.0 2.0 4.0 4.0 ## [37346] 1.0 4.0 3.0 3.0 2.0 2.0 2.0 3.0 3.0 3.0 1.0 ## [37357] 2.0 3.0 3.0 3.0 4.0 2.0 2.0 3.0 2.0 2.0 2.0 ## [37368] 1.0 3.0 3.0 1.0 2.0 1.0 3.0 3.0 2.0 2.0 6.0 ## [37379] 1.0 3.0 4.0 2.0 2.0 2.0 2.0 4.0 3.0 2.0 3.0 ## [37390] 2.0 2.0 2.0 2.0 2.0 4.0 2.0 2.0 3.0 4.0 2.0 ## [37401] 2.0 2.0 3.0 2.0 5.0 2.0 1.0 1.0 2.0 2.0 2.0 ## [37412] 3.0 3.0 4.0 2.0 2.0 5.0 6.0 3.0 3.0 3.0 2.0 ## [37423] 4.0 2.0 2.0 4.0 6.0 2.0 1.0 2.0 2.0 1.0 1.0 ## [37434] 3.0 2.0 5.0 2.0 3.0 1.0 3.0 2.0 3.0 3.0 3.0 ## [37445] 3.0 1.0 1.0 2.0 4.0 3.0 2.0 2.0 2.0 3.0 1.0 ## [37456] 2.0 2.0 1.0 3.0 2.0 6.0 4.0 5.0 3.0 1.0 1.0 ## [37467] 3.0 2.0 1.0 1.0 2.0 4.0 2.0 3.0 2.0 2.0 2.0 ## [37478] 1.0 2.0 1.0 2.0 1.0 4.0 2.0 1.0 2.0 4.0 2.0 ## [37489] 9.0 10.5 10.5 10.0 10.5 10.0 6.0 8.0 10.0 9.0 10.5 ## [37500] 10.0 10.5 10.0 10.5 8.0 10.5 10.0 10.5 10.5 10.5 10.0 ## [37511] 10.0 10.0 10.0 10.0 10.5 10.5 13.0 12.0 14.0 14.0 11.0 ## [37522] 13.0 14.0 22.0 23.0 30.0 27.0 18.0 23.0 27.0 29.0 35.0 ## [37533] 34.0 29.0 27.0 17.0 18.0 21.0 23.0 24.0 27.0 35.0 42.0 ## [37544] 14.0 15.0 24.0 14.0 27.0 25.0 24.0 28.0 42.0 30.0 43.0 ## [37555] 22.0 26.0 40.0 13.0 27.0 31.0 41.0 41.0 46.0 12.0 47.0 ## [37566] 26.0 38.0 18.0 19.0 23.0 16.0 14.0 23.0 27.0 13.0 18.0 ## [37577] 14.0 21.0 18.0 19.0 24.0 25.0 15.0 22.0 23.0 27.0 25.0 ## [37588] 36.0 33.0 38.0 43.0 15.0 34.0 46.0 40.0 13.0 15.0 17.0 ## [37599] 19.0 22.0 14.0 20.0 23.0 33.0 36.0 34.0 16.0 16.0 15.0 ## [37610] 26.0 27.0 14.0 29.0 25.0 45.0 46.0 17.0 16.0 12.0 15.0 ## [37621] 18.0 16.0 21.0 16.0 23.0 25.0 35.0 32.0 47.0 12.0 22.0 ## [37632] 15.0 13.0 20.0 38.0 20.0 30.0 23.0 18.0 34.0 26.0 22.0 ## [37643] 20.0 19.0 15.0 19.0 25.0 38.0 20.0 12.0 12.0 12.0 12.0 ## [37654] 21.0 22.0 23.0 21.0 29.0 44.0 13.0 22.0 12.0 15.0 13.0 ## [37665] 18.0 21.0 31.0 25.0 29.0 36.0 47.0 22.0 19.0 29.0 29.0 ## [37676] 38.0 36.0 18.0 46.0 26.0 39.0 14.0 18.0 17.0 30.0 37.0 ## [37687] 22.0 16.0 27.0 32.0 35.0 22.0 23.0 18.0 47.0 19.0 14.0 ## [37698] 43.0 14.0 12.0 14.0 16.0 19.0 27.0 44.0 18.0 15.0 30.0 ## [37709] 37.0 31.0 33.0 23.0 41.0 23.0 43.0 13.0 13.0 16.0 20.0 ## [37720] 16.0 11.0 17.0 20.0 15.0 16.0 34.0 17.0 17.0 25.0 13.0 ## [37731] 13.0 30.0 14.0 22.0 12.0 13.0 17.0 27.0 14.0 38.0 12.0 ## [37742] 13.0 27.0 33.0 13.0 20.0 19.0 28.0 14.0 37.0 41.0 39.0 ## [37753] 12.0 18.0 14.0 16.0 23.0 43.0 16.0 14.0 16.0 12.0 26.0 ## [37764] 19.0 19.0 21.0 14.0 34.0 32.0 15.0 45.0 34.0 22.0 32.0 ## [37775] 22.0 39.0 24.0 21.0 43.0 17.0 17.0 23.0 18.0 15.0 23.0 ## [37786] 15.0 19.0 22.0 40.0 19.0 43.0 12.0 21.0 15.0 29.0 15.0 ## [37797] 22.0 19.0 22.0 24.0 46.0 41.0 21.0 12.0 13.0 27.0 19.0 ## [37808] 22.0 18.0 15.0 17.0 27.0 11.0 21.0 26.0 23.0 45.0 12.0 ## [37819] 17.0 12.0 12.0 12.0 14.0 13.0 13.0 15.0 12.0 15.0 13.0 ## [37830] 12.0 13.0 13.0 12.0 13.0 12.0 13.0 13.0 12.0 12.0 12.0 ## [37841] 12.0 13.0 12.0 12.0 14.0 14.0 14.0 12.0 11.0 13.0 12.0 ## [37852] 14.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 16.0 13.0 11.0 ## [37863] 13.0 13.0 14.0 12.0 12.0 16.0 12.0 12.0 13.0 12.0 12.0 ## [37874] 16.0 13.0 12.0 15.0 13.0 12.0 16.0 16.0 11.0 14.0 13.0 ## [37885] 18.0 13.0 16.0 12.0 17.0 14.0 16.0 13.0 15.0 12.0 13.0 ## [37896] 14.0 14.0 17.0 19.0 18.0 24.0 14.0 13.0 15.0 22.0 20.0 ## [37907] 19.0 19.0 22.0 21.0 16.0 18.0 17.0 32.0 12.0 15.0 15.0 ## [37918] 20.0 19.0 34.0 35.0 18.0 19.0 12.0 16.0 14.0 14.0 21.0 ## [37929] 21.0 27.0 14.0 41.0 13.0 20.0 40.0 12.0 12.0 16.0 16.0 ## [37940] 24.0 20.0 16.0 35.0 21.0 21.0 21.0 15.0 25.0 24.0 26.0 ## [37951] 34.0 15.0 15.0 13.0 21.0 15.0 18.0 25.0 16.0 21.0 16.0 ## [37962] 14.0 13.0 17.0 13.0 21.0 22.0 26.0 30.0 42.0 17.0 20.0 ## [37973] 21.0 23.0 26.0 32.0 14.0 12.0 11.0 20.0 16.0 17.0 12.0 ## [37984] 14.0 15.0 12.0 22.0 22.0 20.0 23.0 19.0 21.0 24.0 25.0 ## [37995] 28.0 30.0 14.0 21.0 17.0 18.0 16.0 18.0 15.0 24.0 17.0 ## [38006] 20.0 12.0 15.0 13.0 13.0 14.0 20.0 12.0 20.0 20.0 19.0 ## [38017] 16.0 19.0 25.0 17.0 24.0 21.0 19.0 27.0 27.0 33.0 40.0 ## [38028] 35.0 41.0 14.0 21.0 15.0 23.0 16.0 15.0 18.0 34.0 29.0 ## [38039] 27.0 32.0 43.0 13.0 15.0 12.0 11.0 19.0 21.0 21.0 29.0 ## [38050] 33.0 32.0 29.0 33.0 36.0 42.0 17.0 24.0 17.0 24.0 12.0 ## [38061] 14.0 14.0 15.0 16.0 18.0 16.0 17.0 19.0 24.0 28.0 24.0 ## [38072] 23.0 30.0 23.0 32.0 31.0 32.0 47.0 18.0 27.0 21.0 19.0 ## [38083] 32.0 33.0 38.0 20.0 25.0 38.0 18.0 20.0 43.0 46.0 13.0 ## [38094] 12.0 14.0 16.0 14.0 16.0 19.0 19.0 16.0 19.0 32.0 23.0 ## [38105] 20.0 24.0 23.0 31.0 28.0 14.0 17.0 14.0 12.0 26.0 13.0 ## [38116] 13.0 17.0 16.0 23.0 27.0 24.0 22.0 24.0 25.0 22.0 22.0 ## [38127] 28.0 30.0 40.0 37.0 15.0 19.0 16.0 28.0 35.0 32.0 36.0 ## [38138] 34.0 33.0 39.0 38.0 15.0 18.0 14.0 15.0 22.0 26.0 33.0 ## [38149] 23.0 17.0 24.0 36.0 32.0 38.0 14.0 17.0 12.0 14.0 13.0 ## [38160] 16.0 18.0 26.0 29.0 36.0 48.0 12.0 17.0 19.0 26.0 23.0 ## [38171] 28.0 29.0 37.0 20.0 36.0 48.0 15.0 18.0 17.0 27.0 26.0 ## [38182] 34.0 15.0 31.0 43.0 14.0 13.0 31.0 18.0 15.0 18.0 20.0 ## [38193] 22.0 35.0 29.0 43.0 42.0 14.0 18.0 31.0 13.0 12.0 12.0 ## [38204] 20.0 19.0 18.0 18.0 18.0 23.0 21.0 23.0 24.0 25.0 21.0 ## [38215] 28.0 42.0 27.0 46.0 43.0 13.0 17.0 16.0 16.0 13.0 18.0 ## [38226] 14.0 22.0 20.0 40.0 32.0 27.0 31.0 19.0 31.0 31.0 41.0 ## [38237] 39.0 32.0 45.0 30.0 36.0 37.0 36.0 15.0 12.0 18.0 12.0 ## [38248] 13.0 14.0 16.0 16.0 22.0 21.0 61.0 62.0 77.0 52.0 63.0 ## [38259] 58.0 52.0 50.0 61.0 58.0 57.0 83.0 82.0 54.0 62.0 152.0 ## [38270] 57.0 55.0 70.0 50.0 59.0 94.0 138.0 54.0 305.0 64.0 59.0 ## [38281] 84.0 59.0 99.0 62.0 49.0 53.0 52.0 142.0 58.0 104.0 62.0 ## [38292] 105.0 49.0 107.0 63.0 51.0 76.0 50.0 83.0 112.0 49.0 94.0 ## [38303] 56.0 50.0 77.0 63.0 55.0 65.0 68.0 196.0 58.0 68.0 56.0 ## [38314] 50.0 109.0 73.0 50.0 52.0 54.0 107.0 51.0 83.0 64.0 70.0 ## [38325] 55.0 62.0 72.0 54.0 51.0 63.0 51.0 50.0 54.0 67.0 169.0 ## [38336] 176.0 3.0 4.0 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 ## [38347] 6.0 7.0 7.0 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 ## [38358] 6.0 9.0 7.0 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 ## [38369] 5.0 5.0 6.0 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 ## [38380] 5.0 6.0 5.0 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 ## [38391] 5.0 5.0 10.5 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 ## [38402] 7.0 4.0 5.0 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 ## [38413] 7.0 1.0 4.0 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 ## [38424] 10.5 10.5 9.0 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 ## [38435] 10.0 10.5 8.0 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 ## [38446] 1.0 10.0 0.5 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 ## [38457] 0.5 3.0 4.0 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 ## [38468] 4.0 3.0 5.0 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 ## [38479] 2.0 3.0 2.0 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 ## [38490] 4.0 2.0 4.0 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 ## [38501] 4.0 4.0 5.0 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 ## [38512] 2.0 4.0 4.0 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 ## [38523] 3.0 4.0 2.0 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 ## [38534] 1.0 3.0 4.0 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 ## [38545] 3.0 4.0 1.0 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 ## [38556] 6.0 3.0 2.0 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 ## [38567] 2.0 2.0 1.0 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 ## [38578] 5.0 4.0 4.0 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 ## [38589] 2.0 3.0 3.0 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 ## [38600] 3.0 4.0 5.0 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 ## [38611] 3.0 6.0 4.0 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 ## [38622] 2.0 2.0 3.0 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 ## [38633] 3.0 2.0 2.0 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 ## [38644] 2.0 2.0 3.0 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 ## [38655] 5.0 2.0 1.0 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 ## [38666] 5.0 1.0 4.0 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 ## [38677] 3.0 3.0 5.0 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 ## [38688] 4.0 1.0 4.0 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 ## [38699] 3.0 2.0 3.0 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 ## [38710] 4.0 3.0 6.0 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 ## [38721] 3.0 3.0 2.0 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 ## [38732] 2.0 4.0 3.0 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 ## [38743] 3.0 5.0 3.0 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 ## [38754] 4.0 4.0 2.0 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 ## [38765] 1.0 2.0 4.0 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 ## [38776] 3.0 2.0 5.0 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 ## [38787] 2.0 3.0 5.0 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 ## [38798] 2.0 2.0 2.0 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 ## [38809] 1.0 6.0 2.0 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 ## [38820] 2.0 2.0 3.0 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 ## [38831] 2.0 3.0 2.0 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 ## [38842] 2.0 3.0 4.0 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 ## [38853] 1.0 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 ## [38864] 1.0 2.0 2.0 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 ## [38875] 1.0 1.0 0.5 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 ## [38886] 0.5 1.0 1.0 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 ## [38897] 1.0 2.0 0.5 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 ## [38908] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 ## [38919] 1.0 0.5 1.0 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 ## [38930] 1.0 1.0 0.5 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 ## [38941] 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 ## [38952] 1.0 1.0 2.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 ## [38963] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [38974] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [38985] 0.5 1.0 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 ## [38996] 0.5 0.5 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 ## [39007] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 ## [39018] 1.0 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 ## [39029] 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 ## [39040] 0.5 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 ## [39051] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 ## [39062] 9.0 6.0 10.5 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 ## [39073] 10.0 10.5 7.0 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 ## [39084] 6.0 10.5 8.0 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 ## [39095] 6.0 8.0 10.0 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 ## [39106] 9.0 7.0 7.0 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 ## [39117] 10.0 4.0 3.0 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 ## [39128] 6.0 4.0 7.0 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 ## [39139] 10.0 10.5 1.0 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 ## [39150] 3.0 6.0 0.5 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 ## [39161] 10.0 10.0 0.5 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 ## [39172] 5.0 0.5 6.0 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 ## [39183] 8.0 1.0 8.0 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 ## [39194] 1.0 9.0 7.0 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 ## [39205] 6.0 9.0 6.0 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 ## [39216] 10.0 9.0 10.0 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 ## [39227] 0.5 8.0 8.0 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 ## [39238] 6.0 8.0 9.0 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 ## [39249] 4.0 7.0 8.0 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 ## [39260] 10.5 8.0 0.5 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 ## [39271] 0.5 7.0 7.0 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 ## [39282] 10.0 5.0 6.0 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 ## [39293] 6.0 9.0 6.0 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 ## [39304] 9.0 10.0 9.0 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 ## [39315] 10.5 10.0 7.0 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 ## [39326] 6.0 10.0 1.0 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 ## [39337] 9.0 2.0 0.5 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 ## [39348] 5.0 6.0 6.0 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 ## [39359] 10.0 9.0 5.0 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 ## [39370] 8.0 5.0 7.0 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 ## [39381] 8.0 6.0 5.0 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 ## [39392] 0.5 5.0 6.0 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 ## [39403] 6.0 3.0 7.0 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 ## [39414] 8.0 5.0 10.0 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 ## [39425] 10.5 10.0 7.0 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 ## [39436] 7.0 6.0 6.0 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 ## [39447] 10.5 7.0 8.0 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 ## [39458] 7.0 4.0 4.0 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 ## [39469] 0.5 4.0 7.0 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 ## [39480] 0.5 7.0 9.0 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 ## [39491] 5.0 2.0 8.0 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 ## [39502] 9.0 6.0 5.0 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 ## [39513] 3.0 8.0 8.0 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 ## [39524] 7.0 6.0 10.0 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 ## [39535] 5.0 10.5 6.0 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 ## [39546] 8.0 8.0 1.0 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 ## [39557] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [39568] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [39579] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 ## [39590] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [39601] 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [39612] 1.0 1.0 0.5 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 ## [39623] 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 ## [39634] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 ## [39645] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [39656] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [39667] 1.0 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [39678] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 ## [39689] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [39700] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [39711] 0.5 1.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 ## [39722] 1.0 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 ## [39733] 2.0 2.0 1.0 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 ## [39744] 3.0 3.0 2.0 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 ## [39755] 3.0 3.0 4.0 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 ## [39766] 3.0 1.0 2.0 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 ## [39777] 4.0 2.0 2.0 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 ## [39788] 2.0 2.0 2.0 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 ## [39799] 3.0 2.0 5.0 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 ## [39810] 4.0 2.0 2.0 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 ## [39821] 2.0 4.0 6.0 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 ## [39832] 5.0 2.0 3.0 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 ## [39843] 1.0 2.0 4.0 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 ## [39854] 1.0 3.0 2.0 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 ## [39865] 1.0 1.0 2.0 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 ## [39876] 1.0 2.0 1.0 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 ## [39887] 10.5 10.0 10.5 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 ## [39898] 10.0 10.5 8.0 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 ## [39909] 10.0 10.0 10.5 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 ## [39920] 22.0 23.0 30.0 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 ## [39931] 27.0 17.0 18.0 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 ## [39942] 24.0 14.0 27.0 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 ## [39953] 40.0 13.0 27.0 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 ## [39964] 18.0 19.0 23.0 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 ## [39975] 18.0 19.0 24.0 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 ## [39986] 38.0 43.0 15.0 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 ## [39997] 14.0 20.0 23.0 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 ## [40008] 14.0 29.0 25.0 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 ## [40019] 21.0 16.0 23.0 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 ## [40030] 20.0 38.0 20.0 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 ## [40041] 15.0 19.0 25.0 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 ## [40052] 23.0 21.0 29.0 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 ## [40063] 31.0 25.0 29.0 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 ## [40074] 18.0 46.0 26.0 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 ## [40085] 27.0 32.0 35.0 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 ## [40096] 12.0 14.0 16.0 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 ## [40107] 33.0 23.0 41.0 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 ## [40118] 17.0 20.0 15.0 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 ## [40129] 14.0 22.0 12.0 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 ## [40140] 33.0 13.0 20.0 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 ## [40151] 14.0 16.0 23.0 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 ## [40162] 21.0 14.0 34.0 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 ## [40173] 24.0 21.0 43.0 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 ## [40184] 22.0 40.0 19.0 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 ## [40195] 22.0 24.0 46.0 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 ## [40206] 15.0 17.0 27.0 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 ## [40217] 12.0 12.0 14.0 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 ## [40228] 13.0 12.0 13.0 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 ## [40239] 12.0 12.0 14.0 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 ## [40250] 12.0 12.0 12.0 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 ## [40261] 14.0 12.0 12.0 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 ## [40272] 12.0 15.0 13.0 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 ## [40283] 16.0 12.0 17.0 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 ## [40294] 17.0 19.0 18.0 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 ## [40305] 22.0 21.0 16.0 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 ## [40316] 34.0 35.0 18.0 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 ## [40327] 14.0 41.0 13.0 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 ## [40338] 16.0 35.0 21.0 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 ## [40349] 15.0 13.0 21.0 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 ## [40360] 17.0 13.0 21.0 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 ## [40371] 26.0 32.0 14.0 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 ## [40382] 12.0 22.0 22.0 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 ## [40393] 14.0 21.0 17.0 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 ## [40404] 15.0 13.0 13.0 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 ## [40415] 25.0 17.0 24.0 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 ## [40426] 14.0 21.0 15.0 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 ## [40437] 43.0 13.0 15.0 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 ## [40448] 29.0 33.0 36.0 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 ## [40459] 15.0 16.0 18.0 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 ## [40470] 23.0 32.0 31.0 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 ## [40481] 38.0 20.0 25.0 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 ## [40492] 16.0 14.0 16.0 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 ## [40503] 23.0 31.0 28.0 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 ## [40514] 16.0 23.0 27.0 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 ## [40525] 40.0 37.0 15.0 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 ## [40536] 39.0 38.0 15.0 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 ## [40547] 24.0 36.0 32.0 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 ## [40558] 26.0 29.0 36.0 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 ## [40569] 37.0 20.0 36.0 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 ## [40580] 31.0 43.0 14.0 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 ## [40591] 29.0 43.0 42.0 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 ## [40602] 18.0 18.0 18.0 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 ## [40613] 27.0 46.0 43.0 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 ## [40624] 20.0 40.0 32.0 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 ## [40635] 45.0 30.0 36.0 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 ## [40646] 16.0 16.0 22.0 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 ## [40657] 50.0 61.0 58.0 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 ## [40668] 70.0 50.0 59.0 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 ## [40679] 99.0 62.0 49.0 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 ## [40690] 107.0 63.0 51.0 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 ## [40701] 77.0 63.0 55.0 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 ## [40712] 73.0 50.0 52.0 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 ## [40723] 72.0 54.0 51.0 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 ## [40734] 4.0 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 ## [40745] 7.0 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 ## [40756] 7.0 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 ## [40767] 6.0 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 ## [40778] 5.0 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 ## [40789] 10.5 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 ## [40800] 5.0 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 ## [40811] 4.0 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 ## [40822] 9.0 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 ## [40833] 8.0 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 ## [40844] 0.5 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 ## [40855] 4.0 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 ## [40866] 5.0 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 ## [40877] 2.0 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 ## [40888] 4.0 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 ## [40899] 5.0 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 ## [40910] 4.0 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 ## [40921] 2.0 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 ## [40932] 4.0 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 ## [40943] 1.0 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 ## [40954] 2.0 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 ## [40965] 1.0 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 ## [40976] 4.0 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 ## [40987] 3.0 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 ## [40998] 5.0 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 ## [41009] 4.0 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 ## [41020] 3.0 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 ## [41031] 2.0 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 ## [41042] 3.0 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 ## [41053] 1.0 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 ## [41064] 4.0 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 ## [41075] 5.0 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 ## [41086] 4.0 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 ## [41097] 3.0 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 ## [41108] 6.0 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 ## [41119] 2.0 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 ## [41130] 3.0 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 ## [41141] 3.0 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 ## [41152] 2.0 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 ## [41163] 4.0 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 ## [41174] 5.0 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 ## [41185] 5.0 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 ## [41196] 2.0 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 ## [41207] 2.0 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 ## [41218] 3.0 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 ## [41229] 2.0 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 ## [41240] 4.0 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 ## [41251] 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 ## [41262] 2.0 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 ## [41273] 0.5 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [41284] 1.0 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 ## [41295] 0.5 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 ## [41306] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [41317] 1.0 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 ## [41328] 0.5 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 ## [41339] 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 ## [41350] 2.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 ## [41361] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [41372] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 ## [41383] 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [41394] 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [41405] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [41416] 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 ## [41427] 1.0 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 ## [41438] 1.0 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 ## [41449] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 ## [41460] 10.5 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 ## [41471] 7.0 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 ## [41482] 8.0 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 ## [41493] 10.0 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 ## [41504] 7.0 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 ## [41515] 3.0 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 ## [41526] 7.0 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 ## [41537] 1.0 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 ## [41548] 0.5 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 ## [41559] 0.5 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 ## [41570] 6.0 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 ## [41581] 8.0 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 ## [41592] 7.0 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 ## [41603] 6.0 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 ## [41614] 10.0 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 ## [41625] 8.0 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 ## [41636] 9.0 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 ## [41647] 8.0 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 ## [41658] 0.5 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 ## [41669] 7.0 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 ## [41680] 6.0 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 ## [41691] 6.0 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 ## [41702] 9.0 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 ## [41713] 7.0 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 ## [41724] 1.0 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 ## [41735] 0.5 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 ## [41746] 6.0 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 ## [41757] 5.0 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 ## [41768] 7.0 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 ## [41779] 5.0 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 ## [41790] 6.0 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 ## [41801] 7.0 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 ## [41812] 10.0 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 ## [41823] 7.0 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 ## [41834] 6.0 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 ## [41845] 8.0 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 ## [41856] 4.0 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 ## [41867] 7.0 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 ## [41878] 9.0 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 ## [41889] 8.0 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 ## [41900] 5.0 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 ## [41911] 8.0 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 ## [41922] 10.0 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 ## [41933] 6.0 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 ## [41944] 1.0 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 ## [41955] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [41966] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [41977] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 ## [41988] 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [41999] 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [42010] 0.5 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 ## [42021] 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [42032] 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 ## [42043] 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [42054] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [42065] 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 ## [42076] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 ## [42087] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [42098] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [42109] 0.5 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 ## [42120] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 ## [42131] 1.0 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 ## [42142] 2.0 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 ## [42153] 4.0 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 ## [42164] 2.0 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 2.0 ## [42175] 2.0 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 2.0 ## [42186] 2.0 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 2.0 ## [42197] 5.0 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 2.0 ## [42208] 2.0 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 4.0 ## [42219] 6.0 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 2.0 ## [42230] 3.0 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 ## [42241] 4.0 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 3.0 ## [42252] 2.0 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 1.0 ## [42263] 2.0 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 2.0 ## [42274] 1.0 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 10.0 ## [42285] 10.5 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 10.5 ## [42296] 8.0 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 10.0 ## [42307] 10.5 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 23.0 ## [42318] 30.0 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 17.0 ## [42329] 18.0 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 14.0 ## [42340] 27.0 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 13.0 ## [42351] 27.0 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 19.0 ## [42362] 23.0 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 19.0 ## [42373] 24.0 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 43.0 ## [42384] 15.0 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 20.0 ## [42395] 23.0 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 29.0 ## [42406] 25.0 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 16.0 ## [42417] 23.0 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 38.0 ## [42428] 20.0 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 19.0 ## [42439] 25.0 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 21.0 ## [42450] 29.0 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 25.0 ## [42461] 29.0 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 46.0 ## [42472] 26.0 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 32.0 ## [42483] 35.0 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 14.0 ## [42494] 16.0 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 23.0 ## [42505] 41.0 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 20.0 ## [42516] 15.0 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 22.0 ## [42527] 12.0 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 13.0 ## [42538] 20.0 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 16.0 ## [42549] 23.0 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 14.0 ## [42560] 34.0 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 21.0 ## [42571] 43.0 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 40.0 ## [42582] 19.0 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 24.0 ## [42593] 46.0 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 17.0 ## [42604] 27.0 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 12.0 ## [42615] 14.0 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 12.0 ## [42626] 13.0 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 12.0 ## [42637] 14.0 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 12.0 ## [42648] 12.0 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 12.0 ## [42659] 12.0 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 15.0 ## [42670] 13.0 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 12.0 ## [42681] 17.0 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 19.0 ## [42692] 18.0 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 21.0 ## [42703] 16.0 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 35.0 ## [42714] 18.0 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 41.0 ## [42725] 13.0 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 35.0 ## [42736] 21.0 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 13.0 ## [42747] 21.0 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 13.0 ## [42758] 21.0 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 32.0 ## [42769] 14.0 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 22.0 ## [42780] 22.0 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 21.0 ## [42791] 17.0 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 13.0 ## [42802] 13.0 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 17.0 ## [42813] 24.0 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 21.0 ## [42824] 15.0 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 13.0 ## [42835] 15.0 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 33.0 ## [42846] 36.0 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 16.0 ## [42857] 18.0 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 32.0 ## [42868] 31.0 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 20.0 ## [42879] 25.0 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 14.0 ## [42890] 16.0 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 31.0 ## [42901] 28.0 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 23.0 ## [42912] 27.0 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 37.0 ## [42923] 15.0 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 38.0 ## [42934] 15.0 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 36.0 ## [42945] 32.0 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 29.0 ## [42956] 36.0 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 20.0 ## [42967] 36.0 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 43.0 ## [42978] 14.0 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 43.0 ## [42989] 42.0 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 18.0 ## [43000] 18.0 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 46.0 ## [43011] 43.0 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 40.0 ## [43022] 32.0 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 30.0 ## [43033] 36.0 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 16.0 ## [43044] 22.0 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 61.0 ## [43055] 58.0 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 50.0 ## [43066] 59.0 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 62.0 ## [43077] 49.0 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 63.0 ## [43088] 51.0 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 63.0 ## [43099] 55.0 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 50.0 ## [43110] 52.0 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 54.0 ## [43121] 51.0 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 7.0 ## [43132] 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 4.0 ## [43143] 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 6.0 ## [43154] 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 5.0 ## [43165] 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 5.0 ## [43176] 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 6.0 ## [43187] 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 7.0 ## [43198] 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 7.0 ## [43209] 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 3.0 ## [43220] 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 0.5 ## [43231] 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 0.5 ## [43242] 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 2.0 ## [43253] 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 4.0 ## [43264] 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 4.0 ## [43275] 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 2.0 ## [43286] 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 4.0 ## [43297] 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 4.0 ## [43308] 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 3.0 ## [43319] 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 5.0 ## [43330] 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 3.0 ## [43341] 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 2.0 ## [43352] 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 2.0 ## [43363] 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 7.0 ## [43374] 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 5.0 ## [43385] 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 4.0 ## [43396] 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 2.0 ## [43407] 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 5.0 ## [43418] 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 2.0 ## [43429] 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 4.0 ## [43440] 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 2.0 ## [43451] 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 3.0 ## [43462] 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 2.0 ## [43473] 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 2.0 ## [43484] 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 2.0 ## [43495] 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 3.0 ## [43506] 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 2.0 ## [43517] 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 2.0 ## [43528] 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 3.0 ## [43539] 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 4.0 ## [43550] 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 3.0 ## [43561] 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 3.0 ## [43572] 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 4.0 ## [43583] 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 2.0 ## [43594] 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 3.0 ## [43605] 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 3.0 ## [43616] 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 3.0 ## [43627] 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 5.0 ## [43638] 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 1.0 ## [43649] 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 1.0 ## [43660] 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 0.5 ## [43671] 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [43682] 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 0.5 ## [43693] 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 ## [43704] 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 ## [43715] 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 1.0 ## [43726] 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 1.0 ## [43737] 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 1.0 ## [43748] 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [43759] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [43770] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [43781] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [43792] 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [43803] 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [43814] 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 ## [43825] 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [43836] 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 1.0 ## [43847] 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 9.0 ## [43858] 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 8.0 ## [43869] 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 9.0 ## [43880] 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 6.0 ## [43891] 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 7.0 ## [43902] 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 7.0 ## [43913] 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 1.0 ## [43924] 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 4.0 ## [43935] 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 5.0 ## [43946] 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 5.0 ## [43957] 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 7.0 ## [43968] 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 10.5 ## [43979] 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 8.0 ## [43990] 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 7.0 ## [44001] 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 0.5 ## [44012] 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 4.0 ## [44023] 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 5.0 ## [44034] 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 6.0 ## [44045] 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 10.0 ## [44056] 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 8.0 ## [44067] 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 9.0 ## [44078] 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 8.0 ## [44089] 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 4.0 ## [44100] 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 1.0 ## [44111] 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 7.0 ## [44122] 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 7.0 ## [44133] 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 10.0 ## [44144] 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 6.0 ## [44155] 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 7.0 ## [44166] 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 0.5 ## [44177] 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 6.0 ## [44188] 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 10.5 ## [44199] 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 7.0 ## [44210] 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 6.0 ## [44221] 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 8.0 ## [44232] 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 1.0 ## [44243] 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 1.0 ## [44254] 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 8.0 ## [44265] 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 7.0 ## [44276] 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 6.0 ## [44287] 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 4.0 ## [44298] 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 5.0 ## [44309] 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 6.0 ## [44320] 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 1.0 ## [44331] 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 7.0 ## [44342] 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [44353] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.5 ## [44364] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [44375] 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [44386] 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [44397] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 ## [44408] 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [44419] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [44430] 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [44441] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [44452] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 ## [44463] 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [44474] 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [44485] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [44496] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [44507] 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 1.0 ## [44518] 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 2.0 ## [44529] 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 2.0 ## [44540] 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 2.0 ## [44551] 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 1.0 ## [44562] 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 2.0 2.0 2.0 ## [44573] 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 2.0 2.0 4.0 ## [44584] 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 2.0 5.0 2.0 ## [44595] 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 2.0 2.0 5.0 ## [44606] 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 4.0 6.0 2.0 ## [44617] 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 2.0 3.0 1.0 ## [44628] 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 4.0 3.0 ## [44639] 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 3.0 2.0 6.0 ## [44650] 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 1.0 2.0 4.0 ## [44661] 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 2.0 1.0 4.0 ## [44672] 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 10.0 10.5 10.0 ## [44683] 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 10.5 8.0 10.5 ## [44694] 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 10.0 10.5 10.5 ## [44705] 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 23.0 30.0 27.0 ## [44716] 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 17.0 18.0 21.0 ## [44727] 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 14.0 27.0 25.0 ## [44738] 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 13.0 27.0 31.0 ## [44749] 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 19.0 23.0 16.0 ## [44760] 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 19.0 24.0 25.0 ## [44771] 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 43.0 15.0 34.0 ## [44782] 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 20.0 23.0 33.0 ## [44793] 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 29.0 25.0 45.0 ## [44804] 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 16.0 23.0 25.0 ## [44815] 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 38.0 20.0 30.0 ## [44826] 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 19.0 25.0 38.0 ## [44837] 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 21.0 29.0 44.0 ## [44848] 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 25.0 29.0 36.0 ## [44859] 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 46.0 26.0 39.0 ## [44870] 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 32.0 35.0 22.0 ## [44881] 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 14.0 16.0 19.0 ## [44892] 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 23.0 41.0 23.0 ## [44903] 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 20.0 15.0 16.0 ## [44914] 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 22.0 12.0 13.0 ## [44925] 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 13.0 20.0 19.0 ## [44936] 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 16.0 23.0 43.0 ## [44947] 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 14.0 34.0 32.0 ## [44958] 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 21.0 43.0 17.0 ## [44969] 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 40.0 19.0 43.0 ## [44980] 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 24.0 46.0 41.0 ## [44991] 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 17.0 27.0 11.0 ## [45002] 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 12.0 14.0 13.0 ## [45013] 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 12.0 13.0 12.0 ## [45024] 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 12.0 14.0 14.0 ## [45035] 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 12.0 12.0 12.0 ## [45046] 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 12.0 12.0 16.0 ## [45057] 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 15.0 13.0 12.0 ## [45068] 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 12.0 17.0 14.0 ## [45079] 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 19.0 18.0 24.0 ## [45090] 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 21.0 16.0 18.0 ## [45101] 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 35.0 18.0 19.0 ## [45112] 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 41.0 13.0 20.0 ## [45123] 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 35.0 21.0 21.0 ## [45134] 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 13.0 21.0 15.0 ## [45145] 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 13.0 21.0 22.0 ## [45156] 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 32.0 14.0 12.0 ## [45167] 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 22.0 22.0 20.0 ## [45178] 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 21.0 17.0 18.0 ## [45189] 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 13.0 13.0 14.0 ## [45200] 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 17.0 24.0 21.0 ## [45211] 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 21.0 15.0 23.0 ## [45222] 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 13.0 15.0 12.0 ## [45233] 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 33.0 36.0 42.0 ## [45244] 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 16.0 18.0 16.0 ## [45255] 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 32.0 31.0 32.0 ## [45266] 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 20.0 25.0 38.0 ## [45277] 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 14.0 16.0 19.0 ## [45288] 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 31.0 28.0 14.0 ## [45299] 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 23.0 27.0 24.0 ## [45310] 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 37.0 15.0 19.0 ## [45321] 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 38.0 15.0 18.0 ## [45332] 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 36.0 32.0 38.0 ## [45343] 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 29.0 36.0 48.0 ## [45354] 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 20.0 36.0 48.0 ## [45365] 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 43.0 14.0 13.0 ## [45376] 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 43.0 42.0 14.0 ## [45387] 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 18.0 18.0 23.0 ## [45398] 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 46.0 43.0 13.0 ## [45409] 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 40.0 32.0 27.0 ## [45420] 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 30.0 36.0 37.0 ## [45431] 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 16.0 22.0 21.0 ## [45442] 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 61.0 58.0 57.0 ## [45453] 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 50.0 59.0 94.0 ## [45464] 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 62.0 49.0 53.0 ## [45475] 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 63.0 51.0 76.0 ## [45486] 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 63.0 55.0 65.0 ## [45497] 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 50.0 52.0 54.0 ## [45508] 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 54.0 51.0 63.0 ## [45519] 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 7.0 5.0 7.0 ## [45530] 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 4.0 7.0 5.0 ## [45541] 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 6.0 6.0 7.0 ## [45552] 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 5.0 6.0 9.0 ## [45563] 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 5.0 8.0 5.0 ## [45574] 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 6.0 10.0 8.0 ## [45585] 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 7.0 4.0 5.0 ## [45596] 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 7.0 4.0 2.0 ## [45607] 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 3.0 9.0 8.0 ## [45618] 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 0.5 9.0 8.0 ## [45629] 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 0.5 0.5 0.5 ## [45640] 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 2.0 3.0 2.0 ## [45651] 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 4.0 4.0 5.0 ## [45662] 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 4.0 3.0 4.0 ## [45673] 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 2.0 2.0 2.0 ## [45684] 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 4.0 3.0 2.0 ## [45695] 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 4.0 5.0 2.0 ## [45706] 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 3.0 5.0 4.0 ## [45717] 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 5.0 3.0 4.0 ## [45728] 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 3.0 2.0 3.0 ## [45739] 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 2.0 3.0 4.0 ## [45750] 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 2.0 2.0 2.0 ## [45761] 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 7.0 4.0 5.0 ## [45772] 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 5.0 3.0 2.0 ## [45783] 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 4.0 2.0 1.0 ## [45794] 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 2.0 1.0 2.0 ## [45805] 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 5.0 3.0 4.0 ## [45816] 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 2.0 2.0 1.0 ## [45827] 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 4.0 5.0 3.0 ## [45838] 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 2.0 2.0 2.0 ## [45849] 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 3.0 4.0 2.0 ## [45860] 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 2.0 1.0 2.0 ## [45871] 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 2.0 2.0 2.0 ## [45882] 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 2.0 3.0 4.0 ## [45893] 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 3.0 1.0 2.0 ## [45904] 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 2.0 3.0 2.0 ## [45915] 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 2.0 3.0 2.0 ## [45926] 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 3.0 5.0 2.0 ## [45937] 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 4.0 4.0 3.0 ## [45948] 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 3.0 2.0 3.0 ## [45959] 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 3.0 4.0 4.0 ## [45970] 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 4.0 5.0 2.0 ## [45981] 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 2.0 1.0 5.0 ## [45992] 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 3.0 4.0 2.0 ## [46003] 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0 ## [46014] 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 3.0 5.0 3.0 ## [46025] 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 5.0 2.0 3.0 ## [46036] 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 1.0 1.0 1.0 ## [46047] 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 1.0 1.0 0.5 ## [46058] 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 0.5 2.0 0.5 ## [46069] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 0.5 ## [46080] 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 0.5 0.5 0.5 ## [46091] 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [46102] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 ## [46113] 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 1.0 2.0 1.0 ## [46124] 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 1.0 ## [46135] 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 1.0 0.5 1.0 ## [46146] 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [46157] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [46168] 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 1.0 ## [46179] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 ## [46190] 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [46201] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 1.0 ## [46212] 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 ## [46223] 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 2.0 1.0 ## [46234] 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 ## [46245] 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 9.0 6.0 5.0 ## [46256] 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 8.0 5.0 4.0 ## [46267] 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 9.0 9.0 10.0 ## [46278] 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 6.0 8.0 7.0 ## [46289] 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 7.0 6.0 7.0 ## [46300] 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 7.0 7.0 1.0 ## [46311] 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 1.0 9.0 10.0 ## [46322] 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 4.0 8.0 6.0 ## [46333] 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 5.0 5.0 7.0 ## [46344] 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 5.0 8.0 8.0 ## [46355] 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 7.0 8.0 7.0 ## [46366] 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 10.5 8.0 10.0 ## [46377] 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 8.0 5.0 6.0 ## [46388] 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 7.0 0.5 8.0 ## [46399] 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 0.5 8.0 5.0 ## [46410] 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 4.0 7.0 7.0 ## [46421] 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 5.0 5.0 7.0 ## [46432] 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 6.0 9.0 0.5 ## [46443] 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 10.0 7.0 8.0 ## [46454] 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 8.0 4.0 6.0 ## [46465] 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 9.0 7.0 10.0 ## [46476] 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 8.0 6.0 1.0 ## [46487] 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 4.0 0.5 10.0 ## [46498] 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 1.0 7.0 7.0 ## [46509] 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 7.0 7.0 9.0 ## [46520] 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 7.0 5.0 6.0 ## [46531] 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 10.0 5.0 8.0 ## [46542] 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 6.0 10.5 1.0 ## [46553] 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 7.0 0.5 9.0 ## [46564] 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 0.5 7.0 10.0 ## [46575] 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 6.0 6.0 8.0 ## [46586] 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 10.5 10.5 9.0 ## [46597] 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 7.0 5.0 7.0 ## [46608] 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 6.0 9.0 0.5 ## [46619] 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 8.0 1.0 8.0 ## [46630] 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 1.0 9.0 7.0 ## [46641] 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 1.0 9.0 9.0 ## [46652] 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 8.0 8.0 9.0 ## [46663] 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 7.0 10.0 5.0 ## [46674] 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 6.0 6.0 6.0 ## [46685] 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 4.0 10.0 3.0 ## [46696] 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 5.0 5.0 6.0 ## [46707] 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 6.0 8.0 9.0 ## [46718] 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 1.0 8.0 10.5 ## [46729] 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 7.0 6.0 4.0 ## [46740] 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [46751] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [46762] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [46773] 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [46784] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [46795] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 0.5 1.0 ## [46806] 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [46817] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [46828] 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 ## [46839] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [46850] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 ## [46861] 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [46872] 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [46883] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [46894] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 1.0 ## [46905] 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 1.0 1.0 0.5 ## [46916] 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 2.0 2.0 3.0 ## [46927] 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 2.0 2.0 3.0 ## [46938] 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 2.0 2.0 3.0 ## [46949] 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 1.0 3.0 3.0 ## [46960] 2.0 2.0 6.0 1.0 3.0 4.0 2.0 2.0 2.0 2.0 4.0 ## [46971] 3.0 2.0 3.0 2.0 2.0 2.0 2.0 2.0 4.0 2.0 2.0 ## [46982] 3.0 4.0 2.0 2.0 2.0 3.0 2.0 5.0 2.0 1.0 1.0 ## [46993] 2.0 2.0 2.0 3.0 3.0 4.0 2.0 2.0 5.0 6.0 3.0 ## [47004] 3.0 3.0 2.0 4.0 2.0 2.0 4.0 6.0 2.0 1.0 2.0 ## [47015] 2.0 1.0 1.0 3.0 2.0 5.0 2.0 3.0 1.0 3.0 2.0 ## [47026] 3.0 3.0 3.0 3.0 1.0 1.0 2.0 4.0 3.0 2.0 2.0 ## [47037] 2.0 3.0 1.0 2.0 2.0 1.0 3.0 2.0 6.0 4.0 5.0 ## [47048] 3.0 1.0 1.0 3.0 2.0 1.0 1.0 2.0 4.0 2.0 3.0 ## [47059] 2.0 2.0 2.0 1.0 2.0 1.0 2.0 1.0 4.0 2.0 1.0 ## [47070] 2.0 4.0 2.0 9.0 10.5 10.5 10.0 10.5 10.0 6.0 8.0 ## [47081] 10.0 9.0 10.5 10.0 10.5 10.0 10.5 8.0 10.5 10.0 10.5 ## [47092] 10.5 10.5 10.0 10.0 10.0 10.0 10.0 10.5 10.5 13.0 12.0 ## [47103] 14.0 14.0 11.0 13.0 14.0 22.0 23.0 30.0 27.0 18.0 23.0 ## [47114] 27.0 29.0 35.0 34.0 29.0 27.0 17.0 18.0 21.0 23.0 24.0 ## [47125] 27.0 35.0 42.0 14.0 15.0 24.0 14.0 27.0 25.0 24.0 28.0 ## [47136] 42.0 30.0 43.0 22.0 26.0 40.0 13.0 27.0 31.0 41.0 41.0 ## [47147] 46.0 12.0 47.0 26.0 38.0 18.0 19.0 23.0 16.0 14.0 23.0 ## [47158] 27.0 13.0 18.0 14.0 21.0 18.0 19.0 24.0 25.0 15.0 22.0 ## [47169] 23.0 27.0 25.0 36.0 33.0 38.0 43.0 15.0 34.0 46.0 40.0 ## [47180] 13.0 15.0 17.0 19.0 22.0 14.0 20.0 23.0 33.0 36.0 34.0 ## [47191] 16.0 16.0 15.0 26.0 27.0 14.0 29.0 25.0 45.0 46.0 17.0 ## [47202] 16.0 12.0 15.0 18.0 16.0 21.0 16.0 23.0 25.0 35.0 32.0 ## [47213] 47.0 12.0 22.0 15.0 13.0 20.0 38.0 20.0 30.0 23.0 18.0 ## [47224] 34.0 26.0 22.0 20.0 19.0 15.0 19.0 25.0 38.0 20.0 12.0 ## [47235] 12.0 12.0 12.0 21.0 22.0 23.0 21.0 29.0 44.0 13.0 22.0 ## [47246] 12.0 15.0 13.0 18.0 21.0 31.0 25.0 29.0 36.0 47.0 22.0 ## [47257] 19.0 29.0 29.0 38.0 36.0 18.0 46.0 26.0 39.0 14.0 18.0 ## [47268] 17.0 30.0 37.0 22.0 16.0 27.0 32.0 35.0 22.0 23.0 18.0 ## [47279] 47.0 19.0 14.0 43.0 14.0 12.0 14.0 16.0 19.0 27.0 44.0 ## [47290] 18.0 15.0 30.0 37.0 31.0 33.0 23.0 41.0 23.0 43.0 13.0 ## [47301] 13.0 16.0 20.0 16.0 11.0 17.0 20.0 15.0 16.0 34.0 17.0 ## [47312] 17.0 25.0 13.0 13.0 30.0 14.0 22.0 12.0 13.0 17.0 27.0 ## [47323] 14.0 38.0 12.0 13.0 27.0 33.0 13.0 20.0 19.0 28.0 14.0 ## [47334] 37.0 41.0 39.0 12.0 18.0 14.0 16.0 23.0 43.0 16.0 14.0 ## [47345] 16.0 12.0 26.0 19.0 19.0 21.0 14.0 34.0 32.0 15.0 45.0 ## [47356] 34.0 22.0 32.0 22.0 39.0 24.0 21.0 43.0 17.0 17.0 23.0 ## [47367] 18.0 15.0 23.0 15.0 19.0 22.0 40.0 19.0 43.0 12.0 21.0 ## [47378] 15.0 29.0 15.0 22.0 19.0 22.0 24.0 46.0 41.0 21.0 12.0 ## [47389] 13.0 27.0 19.0 22.0 18.0 15.0 17.0 27.0 11.0 21.0 26.0 ## [47400] 23.0 45.0 12.0 17.0 12.0 12.0 12.0 14.0 13.0 13.0 15.0 ## [47411] 12.0 15.0 13.0 12.0 13.0 13.0 12.0 13.0 12.0 13.0 13.0 ## [47422] 12.0 12.0 12.0 12.0 13.0 12.0 12.0 14.0 14.0 14.0 12.0 ## [47433] 11.0 13.0 12.0 14.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 ## [47444] 16.0 13.0 11.0 13.0 13.0 14.0 12.0 12.0 16.0 12.0 12.0 ## [47455] 13.0 12.0 12.0 16.0 13.0 12.0 15.0 13.0 12.0 16.0 16.0 ## [47466] 11.0 14.0 13.0 18.0 13.0 16.0 12.0 17.0 14.0 16.0 13.0 ## [47477] 15.0 12.0 13.0 14.0 14.0 17.0 19.0 18.0 24.0 14.0 13.0 ## [47488] 15.0 22.0 20.0 19.0 19.0 22.0 21.0 16.0 18.0 17.0 32.0 ## [47499] 12.0 15.0 15.0 20.0 19.0 34.0 35.0 18.0 19.0 12.0 16.0 ## [47510] 14.0 14.0 21.0 21.0 27.0 14.0 41.0 13.0 20.0 40.0 12.0 ## [47521] 12.0 16.0 16.0 24.0 20.0 16.0 35.0 21.0 21.0 21.0 15.0 ## [47532] 25.0 24.0 26.0 34.0 15.0 15.0 13.0 21.0 15.0 18.0 25.0 ## [47543] 16.0 21.0 16.0 14.0 13.0 17.0 13.0 21.0 22.0 26.0 30.0 ## [47554] 42.0 17.0 20.0 21.0 23.0 26.0 32.0 14.0 12.0 11.0 20.0 ## [47565] 16.0 17.0 12.0 14.0 15.0 12.0 22.0 22.0 20.0 23.0 19.0 ## [47576] 21.0 24.0 25.0 28.0 30.0 14.0 21.0 17.0 18.0 16.0 18.0 ## [47587] 15.0 24.0 17.0 20.0 12.0 15.0 13.0 13.0 14.0 20.0 12.0 ## [47598] 20.0 20.0 19.0 16.0 19.0 25.0 17.0 24.0 21.0 19.0 27.0 ## [47609] 27.0 33.0 40.0 35.0 41.0 14.0 21.0 15.0 23.0 16.0 15.0 ## [47620] 18.0 34.0 29.0 27.0 32.0 43.0 13.0 15.0 12.0 11.0 19.0 ## [47631] 21.0 21.0 29.0 33.0 32.0 29.0 33.0 36.0 42.0 17.0 24.0 ## [47642] 17.0 24.0 12.0 14.0 14.0 15.0 16.0 18.0 16.0 17.0 19.0 ## [47653] 24.0 28.0 24.0 23.0 30.0 23.0 32.0 31.0 32.0 47.0 18.0 ## [47664] 27.0 21.0 19.0 32.0 33.0 38.0 20.0 25.0 38.0 18.0 20.0 ## [47675] 43.0 46.0 13.0 12.0 14.0 16.0 14.0 16.0 19.0 19.0 16.0 ## [47686] 19.0 32.0 23.0 20.0 24.0 23.0 31.0 28.0 14.0 17.0 14.0 ## [47697] 12.0 26.0 13.0 13.0 17.0 16.0 23.0 27.0 24.0 22.0 24.0 ## [47708] 25.0 22.0 22.0 28.0 30.0 40.0 37.0 15.0 19.0 16.0 28.0 ## [47719] 35.0 32.0 36.0 34.0 33.0 39.0 38.0 15.0 18.0 14.0 15.0 ## [47730] 22.0 26.0 33.0 23.0 17.0 24.0 36.0 32.0 38.0 14.0 17.0 ## [47741] 12.0 14.0 13.0 16.0 18.0 26.0 29.0 36.0 48.0 12.0 17.0 ## [47752] 19.0 26.0 23.0 28.0 29.0 37.0 20.0 36.0 48.0 15.0 18.0 ## [47763] 17.0 27.0 26.0 34.0 15.0 31.0 43.0 14.0 13.0 31.0 18.0 ## [47774] 15.0 18.0 20.0 22.0 35.0 29.0 43.0 42.0 14.0 18.0 31.0 ## [47785] 13.0 12.0 12.0 20.0 19.0 18.0 18.0 18.0 23.0 21.0 23.0 ## [47796] 24.0 25.0 21.0 28.0 42.0 27.0 46.0 43.0 13.0 17.0 16.0 ## [47807] 16.0 13.0 18.0 14.0 22.0 20.0 40.0 32.0 27.0 31.0 19.0 ## [47818] 31.0 31.0 41.0 39.0 32.0 45.0 30.0 36.0 37.0 36.0 15.0 ## [47829] 12.0 18.0 12.0 13.0 14.0 16.0 16.0 22.0 21.0 61.0 62.0 ## [47840] 77.0 52.0 63.0 58.0 52.0 50.0 61.0 58.0 57.0 83.0 82.0 ## [47851] 54.0 62.0 152.0 57.0 55.0 70.0 50.0 59.0 94.0 138.0 54.0 ## [47862] 305.0 64.0 59.0 84.0 59.0 99.0 62.0 49.0 53.0 52.0 142.0 ## [47873] 58.0 104.0 62.0 105.0 49.0 107.0 63.0 51.0 76.0 50.0 83.0 ## [47884] 112.0 49.0 94.0 56.0 50.0 77.0 63.0 55.0 65.0 68.0 196.0 ## [47895] 58.0 68.0 56.0 50.0 109.0 73.0 50.0 52.0 54.0 107.0 51.0 ## [47906] 83.0 64.0 70.0 55.0 62.0 72.0 54.0 51.0 63.0 51.0 50.0 ## [47917] 54.0 67.0 169.0 176.0 3.0 4.0 7.0 5.0 7.0 3.0 10.5 ## [47928] 10.0 5.0 5.0 6.0 7.0 7.0 4.0 7.0 5.0 4.0 5.0 ## [47939] 5.0 7.0 8.0 6.0 9.0 7.0 6.0 6.0 7.0 9.0 4.0 ## [47950] 5.0 6.0 6.0 5.0 5.0 6.0 5.0 6.0 9.0 5.0 10.5 ## [47961] 5.0 8.0 8.0 5.0 6.0 5.0 5.0 8.0 5.0 8.0 7.0 ## [47972] 6.0 5.0 4.0 5.0 5.0 10.5 6.0 10.0 8.0 5.0 9.0 ## [47983] 5.0 10.0 5.0 7.0 4.0 5.0 7.0 4.0 5.0 5.0 4.0 ## [47994] 7.0 7.0 4.0 7.0 1.0 4.0 7.0 4.0 2.0 2.0 10.5 ## [48005] 10.5 9.0 10.5 10.5 10.5 9.0 3.0 9.0 8.0 10.0 10.5 ## [48016] 10.0 6.0 10.5 10.0 10.5 8.0 0.5 9.0 8.0 6.0 0.5 ## [48027] 9.0 0.5 8.0 1.0 10.0 0.5 0.5 0.5 0.5 10.5 1.0 ## [48038] 8.0 0.5 0.5 0.5 3.0 4.0 2.0 3.0 2.0 3.0 3.0 ## [48049] 4.0 1.0 2.0 4.0 3.0 5.0 4.0 4.0 5.0 5.0 1.0 ## [48060] 2.0 1.0 3.0 2.0 3.0 2.0 4.0 3.0 4.0 5.0 6.0 ## [48071] 6.0 0.5 4.0 4.0 2.0 4.0 2.0 2.0 2.0 1.0 2.0 ## [48082] 4.0 0.5 4.0 4.0 4.0 5.0 4.0 3.0 2.0 3.0 4.0 ## [48093] 2.0 0.5 4.0 2.0 4.0 4.0 4.0 5.0 2.0 2.0 1.0 ## [48104] 1.0 0.5 1.0 3.0 4.0 2.0 3.0 5.0 4.0 5.0 4.0 ## [48115] 2.0 0.5 2.0 1.0 3.0 4.0 5.0 3.0 4.0 4.0 3.0 ## [48126] 2.0 0.5 1.0 3.0 4.0 1.0 3.0 2.0 3.0 4.0 6.0 ## [48137] 5.0 1.0 1.0 6.0 3.0 2.0 2.0 3.0 4.0 3.0 3.0 ## [48148] 6.0 0.5 2.0 2.0 2.0 1.0 2.0 2.0 2.0 2.0 3.0 ## [48159] 3.0 0.5 3.0 5.0 4.0 4.0 7.0 4.0 5.0 5.0 4.0 ## [48170] 10.0 0.5 5.0 2.0 3.0 3.0 5.0 3.0 2.0 4.0 4.0 ## [48181] 1.0 0.5 3.0 3.0 4.0 5.0 4.0 2.0 1.0 3.0 2.0 ## [48192] 1.0 0.5 3.0 3.0 6.0 4.0 2.0 1.0 2.0 4.0 3.0 ## [48203] 3.0 0.5 1.0 2.0 2.0 3.0 5.0 3.0 4.0 3.0 1.0 ## [48214] 5.0 0.5 2.0 3.0 2.0 2.0 2.0 2.0 1.0 4.0 5.0 ## [48225] 2.0 0.5 1.0 2.0 2.0 3.0 4.0 5.0 3.0 2.0 3.0 ## [48236] 2.0 1.0 2.0 5.0 2.0 1.0 2.0 2.0 2.0 1.0 6.0 ## [48247] 4.0 1.0 5.0 5.0 1.0 4.0 3.0 4.0 2.0 1.0 2.0 ## [48258] 3.0 1.0 4.0 3.0 3.0 5.0 2.0 1.0 2.0 1.0 3.0 ## [48269] 4.0 0.5 3.0 4.0 1.0 4.0 2.0 2.0 2.0 2.0 2.0 ## [48280] 2.0 0.5 3.0 3.0 2.0 3.0 2.0 3.0 4.0 3.0 1.0 ## [48291] 2.0 0.5 3.0 4.0 3.0 6.0 3.0 1.0 2.0 3.0 4.0 ## [48302] 5.0 1.0 3.0 3.0 3.0 2.0 2.0 3.0 2.0 4.0 4.0 ## [48313] 2.0 0.5 3.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 6.0 ## [48324] 3.0 0.5 4.0 3.0 5.0 3.0 3.0 5.0 2.0 2.0 3.0 ## [48335] 3.0 1.0 1.0 4.0 4.0 2.0 4.0 4.0 3.0 4.0 4.0 ## [48346] 2.0 1.0 3.0 1.0 2.0 4.0 3.0 2.0 3.0 4.0 4.0 ## [48357] 2.0 1.0 3.0 3.0 2.0 5.0 3.0 4.0 4.0 3.0 4.0 ## [48368] 3.0 0.5 2.0 2.0 3.0 5.0 4.0 5.0 2.0 2.0 3.0 ## [48379] 4.0 0.5 3.0 2.0 2.0 2.0 2.0 1.0 5.0 5.0 7.0 ## [48390] 2.0 0.5 2.0 1.0 6.0 2.0 3.0 4.0 2.0 2.0 3.0 ## [48401] 3.0 1.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0 3.0 5.0 ## [48412] 3.0 0.5 2.0 2.0 3.0 2.0 3.0 5.0 3.0 2.0 2.0 ## [48423] 2.0 0.5 2.0 2.0 3.0 4.0 5.0 2.0 3.0 4.0 0.5 ## [48434] 1.0 0.5 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 1.0 ## [48445] 1.0 0.5 2.0 1.0 2.0 2.0 1.0 1.0 0.5 1.0 1.0 ## [48456] 2.0 0.5 0.5 1.0 1.0 0.5 0.5 2.0 0.5 0.5 1.0 ## [48467] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 0.5 1.0 0.5 ## [48478] 0.5 0.5 1.0 1.0 2.0 0.5 0.5 0.5 0.5 2.0 0.5 ## [48489] 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [48500] 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 2.0 1.0 ## [48511] 1.0 0.5 1.0 1.0 1.0 0.5 1.0 2.0 1.0 1.0 1.0 ## [48522] 2.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [48533] 1.0 0.5 1.0 1.0 1.0 2.0 1.0 0.5 1.0 0.5 0.5 ## [48544] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [48555] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [48566] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 1.0 1.0 1.0 ## [48577] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 1.0 0.5 ## [48588] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [48599] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 1.0 1.0 1.0 ## [48610] 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 ## [48621] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 2.0 1.0 1.0 1.0 ## [48632] 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [48643] 1.0 0.5 4.0 9.0 6.0 10.5 9.0 6.0 5.0 5.0 8.0 ## [48654] 7.0 0.5 9.0 10.0 10.5 7.0 8.0 5.0 4.0 6.0 6.0 ## [48665] 6.0 0.5 8.0 6.0 10.5 8.0 9.0 9.0 10.0 4.0 0.5 ## [48676] 5.0 10.0 10.0 6.0 8.0 10.0 6.0 8.0 7.0 7.0 1.0 ## [48687] 8.0 7.0 7.0 9.0 7.0 7.0 7.0 6.0 7.0 0.5 6.0 ## [48698] 7.0 7.0 9.0 10.0 4.0 3.0 7.0 7.0 1.0 9.0 5.0 ## [48709] 6.0 5.0 7.0 6.0 4.0 7.0 1.0 9.0 10.0 9.0 10.5 ## [48720] 5.0 8.0 10.0 10.0 10.5 1.0 4.0 8.0 6.0 7.0 9.0 ## [48731] 10.0 8.0 10.5 3.0 6.0 0.5 5.0 5.0 7.0 10.5 7.0 ## [48742] 8.0 8.0 6.0 10.0 10.0 0.5 5.0 8.0 8.0 8.0 10.0 ## [48753] 3.0 10.0 6.0 5.0 0.5 6.0 7.0 8.0 7.0 8.0 7.0 ## [48764] 7.0 7.0 6.0 8.0 1.0 8.0 10.5 8.0 10.0 6.0 4.0 ## [48775] 9.0 8.0 10.5 1.0 9.0 7.0 8.0 5.0 6.0 0.5 4.0 ## [48786] 6.0 10.0 6.0 6.0 9.0 6.0 7.0 0.5 8.0 7.0 9.0 ## [48797] 8.0 9.0 10.5 10.0 9.0 10.0 0.5 8.0 5.0 7.0 7.0 ## [48808] 8.0 6.0 10.0 0.5 8.0 8.0 4.0 7.0 7.0 10.0 7.0 ## [48819] 0.5 8.0 5.0 6.0 8.0 9.0 5.0 5.0 7.0 1.0 7.0 ## [48830] 6.0 8.0 8.0 4.0 7.0 8.0 6.0 9.0 0.5 10.5 10.0 ## [48841] 10.0 7.0 10.0 10.5 8.0 0.5 10.0 7.0 8.0 8.0 5.0 ## [48852] 10.0 10.5 9.0 0.5 7.0 7.0 8.0 4.0 6.0 7.0 10.0 ## [48863] 7.0 1.0 10.0 10.0 5.0 6.0 9.0 7.0 10.0 10.0 1.0 ## [48874] 5.0 9.0 7.0 6.0 9.0 6.0 8.0 6.0 1.0 9.0 5.0 ## [48885] 6.0 6.0 5.0 9.0 10.0 9.0 4.0 0.5 10.0 7.0 6.0 ## [48896] 7.0 10.0 10.0 10.5 10.0 7.0 1.0 7.0 7.0 9.0 9.0 ## [48907] 10.0 9.0 10.5 6.0 10.0 1.0 7.0 7.0 9.0 6.0 10.5 ## [48918] 5.0 7.0 9.0 9.0 2.0 0.5 7.0 5.0 6.0 8.0 10.5 ## [48929] 7.0 10.5 1.0 5.0 6.0 6.0 10.0 5.0 8.0 6.0 7.0 ## [48940] 0.5 10.0 5.0 10.0 9.0 5.0 6.0 10.5 1.0 8.0 6.0 ## [48951] 6.0 8.0 8.0 8.0 5.0 7.0 7.0 0.5 9.0 5.0 8.0 ## [48962] 7.0 10.0 8.0 8.0 6.0 5.0 0.5 7.0 10.0 5.0 5.0 ## [48973] 5.0 8.0 4.0 0.5 5.0 6.0 6.0 6.0 8.0 9.0 7.0 ## [48984] 10.5 6.0 0.5 6.0 3.0 7.0 10.5 10.5 9.0 9.0 4.0 ## [48995] 7.0 6.0 0.5 8.0 5.0 10.0 7.0 5.0 7.0 10.0 0.5 ## [49006] 8.0 8.0 9.0 10.5 10.0 7.0 6.0 9.0 0.5 8.0 5.0 ## [49017] 5.0 8.0 8.0 7.0 6.0 6.0 8.0 1.0 8.0 5.0 7.0 ## [49028] 2.0 8.0 7.0 10.5 7.0 8.0 1.0 9.0 7.0 9.0 9.0 ## [49039] 9.0 6.0 9.0 7.0 4.0 4.0 1.0 9.0 9.0 10.0 10.0 ## [49050] 5.0 5.0 10.5 0.5 4.0 7.0 8.0 8.0 9.0 9.0 7.0 ## [49061] 8.0 7.0 7.0 0.5 7.0 9.0 7.0 10.0 5.0 7.0 8.0 ## [49072] 10.0 8.0 0.5 5.0 2.0 8.0 6.0 6.0 6.0 8.0 8.0 ## [49083] 0.5 8.0 7.0 9.0 6.0 5.0 4.0 10.0 3.0 6.0 0.5 ## [49094] 6.0 9.0 10.5 3.0 8.0 8.0 5.0 5.0 6.0 0.5 9.0 ## [49105] 9.0 6.0 9.0 7.0 6.0 10.0 6.0 8.0 9.0 1.0 5.0 ## [49116] 7.0 10.0 9.0 5.0 10.5 6.0 1.0 8.0 10.5 10.5 5.0 ## [49127] 6.0 5.0 7.0 8.0 8.0 1.0 7.0 6.0 4.0 7.0 9.0 ## [49138] 7.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [49149] 0.5 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [49160] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [49171] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 ## [49182] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 ## [49193] 0.5 0.5 1.0 1.0 1.0 0.5 1.0 0.5 1.0 0.5 0.5 ## [49204] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 ## [49215] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 ## [49226] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 ## [49237] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [49248] 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 0.5 1.0 ## [49259] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [49270] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [49281] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [49292] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 1.0 1.0 1.0 ## [49303] 0.5 0.5 0.5 1.0 0.5 0.5 1.0 1.0 0.5 1.0 0.5 ## [49314] 0.5 1.0 0.5 2.0 2.0 1.0 2.0 2.0 3.0 2.0 4.0 ## [49325] 4.0 1.0 4.0 3.0 3.0 2.0 2.0 2.0 3.0 3.0 3.0 ## [49336] 1.0 2.0 3.0 3.0 3.0 4.0 2.0 2.0 3.0 2.0 2.0 ## [49347] 2.0 1.0 3.0 3.0 1.0 2.0 1.0 3.0 3.0 2.0 2.0 ## [49358] 6.0 1.0 3.0 4.0 2.0 2.0 2.0 2.0 4.0 3.0 2.0 ## [49369] 3.0 2.0 2.0 2.0 2.0 2.0 4.0 2.0 2.0 3.0 4.0 ## [49380] 2.0 2.0 2.0 3.0 2.0 5.0 2.0 1.0 1.0 2.0 2.0 ## [49391] 2.0 3.0 3.0 4.0 2.0 2.0 5.0 6.0 3.0 3.0 3.0 ## [49402] 2.0 4.0 2.0 2.0 4.0 6.0 2.0 1.0 2.0 2.0 1.0 ## [49413] 1.0 3.0 2.0 5.0 2.0 3.0 1.0 3.0 2.0 3.0 3.0 ## [49424] 3.0 3.0 1.0 1.0 2.0 4.0 3.0 2.0 2.0 2.0 3.0 ## [49435] 1.0 2.0 2.0 1.0 3.0 2.0 6.0 4.0 5.0 3.0 1.0 ## [49446] 1.0 3.0 2.0 1.0 1.0 2.0 4.0 2.0 3.0 2.0 2.0 ## [49457] 2.0 1.0 2.0 1.0 2.0 1.0 4.0 2.0 1.0 2.0 4.0 ## [49468] 2.0 9.0 10.5 10.5 10.0 10.5 10.0 6.0 8.0 10.0 9.0 ## [49479] 10.5 10.0 10.5 10.0 10.5 8.0 10.5 10.0 10.5 10.5 10.5 ## [49490] 10.0 10.0 10.0 10.0 10.0 10.5 10.5 13.0 12.0 14.0 14.0 ## [49501] 11.0 13.0 14.0 22.0 23.0 30.0 27.0 18.0 23.0 27.0 29.0 ## [49512] 35.0 34.0 29.0 27.0 17.0 18.0 21.0 23.0 24.0 27.0 35.0 ## [49523] 42.0 14.0 15.0 24.0 14.0 27.0 25.0 24.0 28.0 42.0 30.0 ## [49534] 43.0 22.0 26.0 40.0 13.0 27.0 31.0 41.0 41.0 46.0 12.0 ## [49545] 47.0 26.0 38.0 18.0 19.0 23.0 16.0 14.0 23.0 27.0 13.0 ## [49556] 18.0 14.0 21.0 18.0 19.0 24.0 25.0 15.0 22.0 23.0 27.0 ## [49567] 25.0 36.0 33.0 38.0 43.0 15.0 34.0 46.0 40.0 13.0 15.0 ## [49578] 17.0 19.0 22.0 14.0 20.0 23.0 33.0 36.0 34.0 16.0 16.0 ## [49589] 15.0 26.0 27.0 14.0 29.0 25.0 45.0 46.0 17.0 16.0 12.0 ## [49600] 15.0 18.0 16.0 21.0 16.0 23.0 25.0 35.0 32.0 47.0 12.0 ## [49611] 22.0 15.0 13.0 20.0 38.0 20.0 30.0 23.0 18.0 34.0 26.0 ## [49622] 22.0 20.0 19.0 15.0 19.0 25.0 38.0 20.0 12.0 12.0 12.0 ## [49633] 12.0 21.0 22.0 23.0 21.0 29.0 44.0 13.0 22.0 12.0 15.0 ## [49644] 13.0 18.0 21.0 31.0 25.0 29.0 36.0 47.0 22.0 19.0 29.0 ## [49655] 29.0 38.0 36.0 18.0 46.0 26.0 39.0 14.0 18.0 17.0 30.0 ## [49666] 37.0 22.0 16.0 27.0 32.0 35.0 22.0 23.0 18.0 47.0 19.0 ## [49677] 14.0 43.0 14.0 12.0 14.0 16.0 19.0 27.0 44.0 18.0 15.0 ## [49688] 30.0 37.0 31.0 33.0 23.0 41.0 23.0 43.0 13.0 13.0 16.0 ## [49699] 20.0 16.0 11.0 17.0 20.0 15.0 16.0 34.0 17.0 17.0 25.0 ## [49710] 13.0 13.0 30.0 14.0 22.0 12.0 13.0 17.0 27.0 14.0 38.0 ## [49721] 12.0 13.0 27.0 33.0 13.0 20.0 19.0 28.0 14.0 37.0 41.0 ## [49732] 39.0 12.0 18.0 14.0 16.0 23.0 43.0 16.0 14.0 16.0 12.0 ## [49743] 26.0 19.0 19.0 21.0 14.0 34.0 32.0 15.0 45.0 34.0 22.0 ## [49754] 32.0 22.0 39.0 24.0 21.0 43.0 17.0 17.0 23.0 18.0 15.0 ## [49765] 23.0 15.0 19.0 22.0 40.0 19.0 43.0 12.0 21.0 15.0 29.0 ## [49776] 15.0 22.0 19.0 22.0 24.0 46.0 41.0 21.0 12.0 13.0 27.0 ## [49787] 19.0 22.0 18.0 15.0 17.0 27.0 11.0 21.0 26.0 23.0 45.0 ## [49798] 12.0 17.0 12.0 12.0 12.0 14.0 13.0 13.0 15.0 12.0 15.0 ## [49809] 13.0 12.0 13.0 13.0 12.0 13.0 12.0 13.0 13.0 12.0 12.0 ## [49820] 12.0 12.0 13.0 12.0 12.0 14.0 14.0 14.0 12.0 11.0 13.0 ## [49831] 12.0 14.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 16.0 13.0 ## [49842] 11.0 13.0 13.0 14.0 12.0 12.0 16.0 12.0 12.0 13.0 12.0 ## [49853] 12.0 16.0 13.0 12.0 15.0 13.0 12.0 16.0 16.0 11.0 14.0 ## [49864] 13.0 18.0 13.0 16.0 12.0 17.0 14.0 16.0 13.0 15.0 12.0 ## [49875] 13.0 14.0 14.0 17.0 19.0 18.0 24.0 14.0 13.0 15.0 22.0 ## [49886] 20.0 19.0 19.0 22.0 21.0 16.0 18.0 17.0 32.0 12.0 15.0 ## [49897] 15.0 20.0 19.0 34.0 35.0 18.0 19.0 12.0 16.0 14.0 14.0 ## [49908] 21.0 21.0 27.0 14.0 41.0 13.0 20.0 40.0 12.0 12.0 16.0 ## [49919] 16.0 24.0 20.0 16.0 35.0 21.0 21.0 21.0 15.0 25.0 24.0 ## [49930] 26.0 34.0 15.0 15.0 13.0 21.0 15.0 18.0 25.0 16.0 21.0 ## [49941] 16.0 14.0 13.0 17.0 13.0 21.0 22.0 26.0 30.0 42.0 17.0 ## [49952] 20.0 21.0 23.0 26.0 32.0 14.0 12.0 11.0 20.0 16.0 17.0 ## [49963] 12.0 14.0 15.0 12.0 22.0 22.0 20.0 23.0 19.0 21.0 24.0 ## [49974] 25.0 28.0 30.0 14.0 21.0 17.0 18.0 16.0 18.0 15.0 24.0 ## [49985] 17.0 20.0 12.0 15.0 13.0 13.0 14.0 20.0 12.0 20.0 20.0 ## [49996] 19.0 16.0 19.0 25.0 17.0 24.0 21.0 19.0 27.0 27.0 33.0 ## [50007] 40.0 35.0 41.0 14.0 21.0 15.0 23.0 16.0 15.0 18.0 34.0 ## [50018] 29.0 27.0 32.0 43.0 13.0 15.0 12.0 11.0 19.0 21.0 21.0 ## [50029] 29.0 33.0 32.0 29.0 33.0 36.0 42.0 17.0 24.0 17.0 24.0 ## [50040] 12.0 14.0 14.0 15.0 16.0 18.0 16.0 17.0 19.0 24.0 28.0 ## [50051] 24.0 23.0 30.0 23.0 32.0 31.0 32.0 47.0 18.0 27.0 21.0 ## [50062] 19.0 32.0 33.0 38.0 20.0 25.0 38.0 18.0 20.0 43.0 46.0 ## [50073] 13.0 12.0 14.0 16.0 14.0 16.0 19.0 19.0 16.0 19.0 32.0 ## [50084] 23.0 20.0 24.0 23.0 31.0 28.0 14.0 17.0 14.0 12.0 26.0 ## [50095] 13.0 13.0 17.0 16.0 23.0 27.0 24.0 22.0 24.0 25.0 22.0 ## [50106] 22.0 28.0 30.0 40.0 37.0 15.0 19.0 16.0 28.0 35.0 32.0 ## [50117] 36.0 34.0 33.0 39.0 38.0 15.0 18.0 14.0 15.0 22.0 26.0 ## [50128] 33.0 23.0 17.0 24.0 36.0 32.0 38.0 14.0 17.0 12.0 14.0 ## [50139] 13.0 16.0 18.0 26.0 29.0 36.0 48.0 12.0 17.0 19.0 26.0 ## [50150] 23.0 28.0 29.0 37.0 20.0 36.0 48.0 15.0 18.0 17.0 27.0 ## [50161] 26.0 34.0 15.0 31.0 43.0 14.0 13.0 31.0 18.0 15.0 18.0 ## [50172] 20.0 22.0 35.0 29.0 43.0 42.0 14.0 18.0 31.0 13.0 12.0 ## [50183] 12.0 20.0 19.0 18.0 18.0 18.0 23.0 21.0 23.0 24.0 25.0 ## [50194] 21.0 28.0 42.0 27.0 46.0 43.0 13.0 17.0 16.0 16.0 13.0 ## [50205] 18.0 14.0 22.0 20.0 40.0 32.0 27.0 31.0 19.0 31.0 31.0 ## [50216] 41.0 39.0 32.0 45.0 30.0 36.0 37.0 36.0 15.0 12.0 18.0 ## [50227] 12.0 13.0 14.0 16.0 16.0 22.0 21.0 61.0 62.0 77.0 52.0 ## [50238] 63.0 58.0 52.0 50.0 61.0 58.0 57.0 83.0 82.0 54.0 62.0 ## [50249] 152.0 57.0 55.0 70.0 50.0 59.0 94.0 138.0 54.0 305.0 64.0 ## [50260] 59.0 84.0 59.0 99.0 62.0 49.0 53.0 52.0 142.0 58.0 104.0 ## [50271] 62.0 105.0 49.0 107.0 63.0 51.0 76.0 50.0 83.0 112.0 49.0 ## [50282] 94.0 56.0 50.0 77.0 63.0 55.0 65.0 68.0 196.0 58.0 68.0 ## [50293] 56.0 50.0 109.0 73.0 50.0 52.0 54.0 107.0 51.0 83.0 64.0 ## [50304] 70.0 55.0 62.0 72.0 54.0 51.0 63.0 51.0 50.0 54.0 67.0 ## [50315] 169.0 176.0 3.0 4.0 7.0 5.0 7.0 3.0 10.5 10.0 5.0 ## [50326] 5.0 6.0 7.0 7.0 4.0 7.0 5.0 4.0 5.0 5.0 7.0 ## [50337] 8.0 6.0 9.0 7.0 6.0 6.0 7.0 9.0 4.0 5.0 6.0 ## [50348] 6.0 5.0 5.0 6.0 5.0 6.0 9.0 5.0 10.5 5.0 8.0 ## [50359] 8.0 5.0 6.0 5.0 5.0 8.0 5.0 8.0 7.0 6.0 5.0 ## [50370] 4.0 5.0 5.0 10.5 6.0 10.0 8.0 5.0 9.0 5.0 10.0 ## [50381] 5.0 7.0 4.0 5.0 7.0 4.0 5.0 5.0 4.0 7.0 7.0 ## [50392] 4.0 7.0 1.0 4.0 7.0 4.0 2.0 2.0 10.5 10.5 9.0 ## [50403] 10.5 10.5 10.5 9.0 3.0 9.0 8.0 10.0 10.5 10.0 6.0 ## [50414] 10.5 10.0 10.5 8.0 0.5 9.0 8.0 6.0 0.5 9.0 0.5 ## [50425] 8.0 1.0 10.0 0.5 0.5 0.5 0.5 10.5 1.0 8.0 0.5 ## [50436] 0.5 0.5 3.0 4.0 2.0 3.0 2.0 3.0 3.0 4.0 1.0 ## [50447] 2.0 4.0 3.0 5.0 4.0 4.0 5.0 5.0 1.0 2.0 1.0 ## [50458] 3.0 2.0 3.0 2.0 4.0 3.0 4.0 5.0 6.0 6.0 0.5 ## [50469] 4.0 4.0 2.0 4.0 2.0 2.0 2.0 1.0 2.0 4.0 0.5 ## [50480] 4.0 4.0 4.0 5.0 4.0 3.0 2.0 3.0 4.0 2.0 0.5 ## [50491] 4.0 2.0 4.0 4.0 4.0 5.0 2.0 2.0 1.0 1.0 0.5 ## [50502] 1.0 3.0 4.0 2.0 3.0 5.0 4.0 5.0 4.0 2.0 0.5 ## [50513] 2.0 1.0 3.0 4.0 5.0 3.0 4.0 4.0 3.0 2.0 0.5 ## [50524] 1.0 3.0 4.0 1.0 3.0 2.0 3.0 4.0 6.0 5.0 1.0 ## [50535] 1.0 6.0 3.0 2.0 2.0 3.0 4.0 3.0 3.0 6.0 0.5 ## [50546] 2.0 2.0 2.0 1.0 2.0 2.0 2.0 2.0 3.0 3.0 0.5 ## [50557] 3.0 5.0 4.0 4.0 7.0 4.0 5.0 5.0 4.0 10.0 0.5 ## [50568] 5.0 2.0 3.0 3.0 5.0 3.0 2.0 4.0 4.0 1.0 0.5 ## [50579] 3.0 3.0 4.0 5.0 4.0 2.0 1.0 3.0 2.0 1.0 0.5 ## [50590] 3.0 3.0 6.0 4.0 2.0 1.0 2.0 4.0 3.0 3.0 0.5 ## [50601] 1.0 2.0 2.0 3.0 5.0 3.0 4.0 3.0 1.0 5.0 0.5 ## [50612] 2.0 3.0 2.0 2.0 2.0 2.0 1.0 4.0 5.0 2.0 0.5 ## [50623] 1.0 2.0 2.0 3.0 4.0 5.0 3.0 2.0 3.0 2.0 1.0 ## [50634] 2.0 5.0 2.0 1.0 2.0 2.0 2.0 1.0 6.0 4.0 1.0 ## [50645] 5.0 5.0 1.0 4.0 3.0 4.0 2.0 1.0 2.0 3.0 1.0 ## [50656] 4.0 3.0 3.0 5.0 2.0 1.0 2.0 1.0 3.0 4.0 0.5 ## [50667] 3.0 4.0 1.0 4.0 2.0 2.0 2.0 2.0 2.0 2.0 0.5 ## [50678] 3.0 3.0 2.0 3.0 2.0 3.0 4.0 3.0 1.0 2.0 0.5 ## [50689] 3.0 4.0 3.0 6.0 3.0 1.0 2.0 3.0 4.0 5.0 1.0 ## [50700] 3.0 3.0 3.0 2.0 2.0 3.0 2.0 4.0 4.0 2.0 0.5 ## [50711] 3.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 6.0 3.0 0.5 ## [50722] 4.0 3.0 5.0 3.0 3.0 5.0 2.0 2.0 3.0 3.0 1.0 ## [50733] 1.0 4.0 4.0 2.0 4.0 4.0 3.0 4.0 4.0 2.0 1.0 ## [50744] 3.0 1.0 2.0 4.0 3.0 2.0 3.0 4.0 4.0 2.0 1.0 ## [50755] 3.0 3.0 2.0 5.0 3.0 4.0 4.0 3.0 4.0 3.0 0.5 ## [50766] 2.0 2.0 3.0 5.0 4.0 5.0 2.0 2.0 3.0 4.0 0.5 ## [50777] 3.0 2.0 2.0 2.0 2.0 1.0 5.0 5.0 7.0 2.0 0.5 ## [50788] 2.0 1.0 6.0 2.0 3.0 4.0 2.0 2.0 3.0 3.0 1.0 ## [50799] 2.0 2.0 2.0 3.0 3.0 3.0 3.0 3.0 5.0 3.0 0.5 ## [50810] 2.0 2.0 3.0 2.0 3.0 5.0 3.0 2.0 2.0 2.0 0.5 ## [50821] 2.0 2.0 3.0 4.0 5.0 2.0 3.0 4.0 0.5 1.0 0.5 ## [50832] 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 ## [50843] 2.0 1.0 2.0 2.0 1.0 1.0 0.5 1.0 1.0 2.0 0.5 ## [50854] 0.5 1.0 1.0 0.5 0.5 2.0 0.5 0.5 1.0 1.0 0.5 ## [50865] 0.5 0.5 1.0 1.0 1.0 0.5 0.5 1.0 0.5 0.5 0.5 ## [50876] 1.0 1.0 2.0 0.5 0.5 0.5 0.5 2.0 0.5 0.5 0.5 ## [50887] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [50898] 1.0 1.0 0.5 1.0 0.5 0.5 0.5 2.0 1.0 1.0 0.5 ## [50909] 1.0 1.0 1.0 0.5 1.0 2.0 1.0 1.0 1.0 2.0 0.5 ## [50920] 1.0 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 ## [50931] 1.0 1.0 1.0 2.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 ## [50942] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [50953] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [50964] 1.0 0.5 1.0 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 ## [50975] 0.5 0.5 0.5 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 ## [50986] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [50997] 1.0 1.0 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 ## [51008] 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 0.5 ## [51019] 0.5 0.5 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 0.5 ## [51030] 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 ## [51041] 4.0 9.0 6.0 10.5 9.0 6.0 5.0 5.0 8.0 7.0 0.5 ## [51052] 9.0 10.0 10.5 7.0 8.0 5.0 4.0 6.0 6.0 6.0 0.5 ## [51063] 8.0 6.0 10.5 8.0 9.0 9.0 10.0 4.0 0.5 5.0 10.0 ## [51074] 10.0 6.0 8.0 10.0 6.0 8.0 7.0 7.0 1.0 8.0 7.0 ## [51085] 7.0 9.0 7.0 7.0 7.0 6.0 7.0 0.5 6.0 7.0 7.0 ## [51096] 9.0 10.0 4.0 3.0 7.0 7.0 1.0 9.0 5.0 6.0 5.0 ## [51107] 7.0 6.0 4.0 7.0 1.0 9.0 10.0 9.0 10.5 5.0 8.0 ## [51118] 10.0 10.0 10.5 1.0 4.0 8.0 6.0 7.0 9.0 10.0 8.0 ## [51129] 10.5 3.0 6.0 0.5 5.0 5.0 7.0 10.5 7.0 8.0 8.0 ## [51140] 6.0 10.0 10.0 0.5 5.0 8.0 8.0 8.0 10.0 3.0 10.0 ## [51151] 6.0 5.0 0.5 6.0 7.0 8.0 7.0 8.0 7.0 7.0 7.0 ## [51162] 6.0 8.0 1.0 8.0 10.5 8.0 10.0 6.0 4.0 9.0 8.0 ## [51173] 10.5 1.0 9.0 7.0 8.0 5.0 6.0 0.5 4.0 6.0 10.0 ## [51184] 6.0 6.0 9.0 6.0 7.0 0.5 8.0 7.0 9.0 8.0 9.0 ## [51195] 10.5 10.0 9.0 10.0 0.5 8.0 5.0 7.0 7.0 8.0 6.0 ## [51206] 10.0 0.5 8.0 8.0 4.0 7.0 7.0 10.0 7.0 0.5 8.0 ## [51217] 5.0 6.0 8.0 9.0 5.0 5.0 7.0 1.0 7.0 6.0 8.0 ## [51228] 8.0 4.0 7.0 8.0 6.0 9.0 0.5 10.5 10.0 10.0 7.0 ## [51239] 10.0 10.5 8.0 0.5 10.0 7.0 8.0 8.0 5.0 10.0 10.5 ## [51250] 9.0 0.5 7.0 7.0 8.0 4.0 6.0 7.0 10.0 7.0 1.0 ## [51261] 10.0 10.0 5.0 6.0 9.0 7.0 10.0 10.0 1.0 5.0 9.0 ## [51272] 7.0 6.0 9.0 6.0 8.0 6.0 1.0 9.0 5.0 6.0 6.0 ## [51283] 5.0 9.0 10.0 9.0 4.0 0.5 10.0 7.0 6.0 7.0 10.0 ## [51294] 10.0 10.5 10.0 7.0 1.0 7.0 7.0 9.0 9.0 10.0 9.0 ## [51305] 10.5 6.0 10.0 1.0 7.0 7.0 9.0 6.0 10.5 5.0 7.0 ## [51316] 9.0 9.0 2.0 0.5 7.0 5.0 6.0 8.0 10.5 7.0 10.5 ## [51327] 1.0 5.0 6.0 6.0 10.0 5.0 8.0 6.0 7.0 0.5 10.0 ## [51338] 5.0 10.0 9.0 5.0 6.0 10.5 1.0 8.0 6.0 6.0 8.0 ## [51349] 8.0 8.0 5.0 7.0 7.0 0.5 9.0 5.0 8.0 7.0 10.0 ## [51360] 8.0 8.0 6.0 5.0 0.5 7.0 10.0 5.0 5.0 5.0 8.0 ## [51371] 4.0 0.5 5.0 6.0 6.0 6.0 8.0 9.0 7.0 10.5 6.0 ## [51382] 0.5 6.0 3.0 7.0 10.5 10.5 9.0 9.0 4.0 7.0 6.0 ## [51393] 0.5 8.0 5.0 10.0 7.0 5.0 7.0 10.0 0.5 8.0 8.0 ## [51404] 9.0 10.5 10.0 7.0 6.0 9.0 0.5 8.0 5.0 5.0 8.0 ## [51415] 8.0 7.0 6.0 6.0 8.0 1.0 8.0 5.0 7.0 2.0 8.0 ## [51426] 7.0 10.5 7.0 8.0 1.0 9.0 7.0 9.0 9.0 9.0 6.0 ## [51437] 9.0 7.0 4.0 4.0 1.0 9.0 9.0 10.0 10.0 5.0 5.0 ## [51448] 10.5 0.5 4.0 7.0 8.0 8.0 9.0 9.0 7.0 8.0 7.0 ## [51459] 7.0 0.5 7.0 9.0 7.0 10.0 5.0 7.0 8.0 10.0 8.0 ## [51470] 0.5 5.0 2.0 8.0 6.0 6.0 6.0 8.0 8.0 0.5 8.0 ## [51481] 7.0 9.0 6.0 5.0 4.0 10.0 3.0 6.0 0.5 6.0 9.0 ## [51492] 10.5 3.0 8.0 8.0 5.0 5.0 6.0 0.5 9.0 9.0 6.0 ## [51503] 9.0 7.0 6.0 10.0 6.0 8.0 9.0 1.0 5.0 7.0 10.0 ## [51514] 9.0 5.0 10.5 6.0 1.0 8.0 10.5 10.5 5.0 6.0 5.0 ## [51525] 7.0 8.0 8.0 1.0 7.0 6.0 4.0 7.0 9.0 7.0 0.5 ## [51536] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [51547] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [51558] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 1.0 ## [51569] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 ## [51580] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [51591] 1.0 1.0 1.0 0.5 1.0 0.5 1.0 0.5 0.5 1.0 0.5 ## [51602] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 ## [51613] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 ## [51624] 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [51635] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [51646] 0.5 1.0 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [51657] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [51668] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [51679] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [51690] 0.5 0.5 1.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 0.5 ## [51701] 0.5 1.0 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 ## [51712] 0.5 2.0 2.0 1.0 2.0 2.0 3.0 2.0 4.0 4.0 1.0 ## [51723] 4.0 3.0 3.0 2.0 2.0 2.0 3.0 3.0 3.0 1.0 2.0 ## [51734] 3.0 3.0 3.0 4.0 2.0 2.0 3.0 2.0 2.0 2.0 1.0 ## [51745] 3.0 3.0 1.0 2.0 1.0 3.0 3.0 2.0 2.0 6.0 1.0 ## [51756] 3.0 4.0 2.0 2.0 2.0 2.0 4.0 3.0 2.0 3.0 2.0 ## [51767] 2.0 2.0 2.0 2.0 4.0 2.0 2.0 3.0 4.0 2.0 2.0 ## [51778] 2.0 3.0 2.0 5.0 2.0 1.0 1.0 2.0 2.0 2.0 3.0 ## [51789] 3.0 4.0 2.0 2.0 5.0 6.0 3.0 3.0 3.0 2.0 4.0 ## [51800] 2.0 2.0 4.0 6.0 2.0 1.0 2.0 2.0 1.0 1.0 3.0 ## [51811] 2.0 5.0 2.0 3.0 1.0 3.0 2.0 3.0 3.0 3.0 3.0 ## [51822] 1.0 1.0 2.0 4.0 3.0 2.0 2.0 2.0 3.0 1.0 2.0 ## [51833] 2.0 1.0 3.0 2.0 6.0 4.0 5.0 3.0 1.0 1.0 3.0 ## [51844] 2.0 1.0 1.0 2.0 4.0 2.0 3.0 2.0 2.0 2.0 1.0 ## [51855] 2.0 1.0 2.0 1.0 4.0 2.0 1.0 2.0 4.0 2.0 9.0 ## [51866] 10.5 10.5 10.0 10.5 10.0 6.0 8.0 10.0 9.0 10.5 10.0 ## [51877] 10.5 10.0 10.5 8.0 10.5 10.0 10.5 10.5 10.5 10.0 10.0 ## [51888] 10.0 10.0 10.0 10.5 10.5 13.0 12.0 14.0 14.0 11.0 13.0 ## [51899] 14.0 22.0 23.0 30.0 27.0 18.0 23.0 27.0 29.0 35.0 34.0 ## [51910] 29.0 27.0 17.0 18.0 21.0 23.0 24.0 27.0 35.0 42.0 14.0 ## [51921] 15.0 24.0 14.0 27.0 25.0 24.0 28.0 42.0 30.0 43.0 22.0 ## [51932] 26.0 40.0 13.0 27.0 31.0 41.0 41.0 46.0 12.0 47.0 26.0 ## [51943] 38.0 18.0 19.0 23.0 16.0 14.0 23.0 27.0 13.0 18.0 14.0 ## [51954] 21.0 18.0 19.0 24.0 25.0 15.0 22.0 23.0 27.0 25.0 36.0 ## [51965] 33.0 38.0 43.0 15.0 34.0 46.0 40.0 13.0 15.0 17.0 19.0 ## [51976] 22.0 14.0 20.0 23.0 33.0 36.0 34.0 16.0 16.0 15.0 26.0 ## [51987] 27.0 14.0 29.0 25.0 45.0 46.0 17.0 16.0 12.0 15.0 18.0 ## [51998] 16.0 21.0 16.0 23.0 25.0 35.0 32.0 47.0 12.0 22.0 15.0 ## [52009] 13.0 20.0 38.0 20.0 30.0 23.0 18.0 34.0 26.0 22.0 20.0 ## [52020] 19.0 15.0 19.0 25.0 38.0 20.0 12.0 12.0 12.0 12.0 21.0 ## [52031] 22.0 23.0 21.0 29.0 44.0 13.0 22.0 12.0 15.0 13.0 18.0 ## [52042] 21.0 31.0 25.0 29.0 36.0 47.0 22.0 19.0 29.0 29.0 38.0 ## [52053] 36.0 18.0 46.0 26.0 39.0 14.0 18.0 17.0 30.0 37.0 22.0 ## [52064] 16.0 27.0 32.0 35.0 22.0 23.0 18.0 47.0 19.0 14.0 43.0 ## [52075] 14.0 12.0 14.0 16.0 19.0 27.0 44.0 18.0 15.0 30.0 37.0 ## [52086] 31.0 33.0 23.0 41.0 23.0 43.0 13.0 13.0 16.0 20.0 16.0 ## [52097] 11.0 17.0 20.0 15.0 16.0 34.0 17.0 17.0 25.0 13.0 13.0 ## [52108] 30.0 14.0 22.0 12.0 13.0 17.0 27.0 14.0 38.0 12.0 13.0 ## [52119] 27.0 33.0 13.0 20.0 19.0 28.0 14.0 37.0 41.0 39.0 12.0 ## [52130] 18.0 14.0 16.0 23.0 43.0 16.0 14.0 16.0 12.0 26.0 19.0 ## [52141] 19.0 21.0 14.0 34.0 32.0 15.0 45.0 34.0 22.0 32.0 22.0 ## [52152] 39.0 24.0 21.0 43.0 17.0 17.0 23.0 18.0 15.0 23.0 15.0 ## [52163] 19.0 22.0 40.0 19.0 43.0 12.0 21.0 15.0 29.0 15.0 22.0 ## [52174] 19.0 22.0 24.0 46.0 41.0 21.0 12.0 13.0 27.0 19.0 22.0 ## [52185] 18.0 15.0 17.0 27.0 11.0 21.0 26.0 23.0 45.0 12.0 17.0 ## [52196] 12.0 12.0 12.0 14.0 13.0 13.0 15.0 12.0 15.0 13.0 12.0 ## [52207] 13.0 13.0 12.0 13.0 12.0 13.0 13.0 12.0 12.0 12.0 12.0 ## [52218] 13.0 12.0 12.0 14.0 14.0 14.0 12.0 11.0 13.0 12.0 14.0 ## [52229] 12.0 12.0 12.0 12.0 12.0 12.0 12.0 16.0 13.0 11.0 13.0 ## [52240] 13.0 14.0 12.0 12.0 16.0 12.0 12.0 13.0 12.0 12.0 16.0 ## [52251] 13.0 12.0 15.0 13.0 12.0 16.0 16.0 11.0 14.0 13.0 18.0 ## [52262] 13.0 16.0 12.0 17.0 14.0 16.0 13.0 15.0 12.0 13.0 14.0 ## [52273] 14.0 17.0 19.0 18.0 24.0 14.0 13.0 15.0 22.0 20.0 19.0 ## [52284] 19.0 22.0 21.0 16.0 18.0 17.0 32.0 12.0 15.0 15.0 20.0 ## [52295] 19.0 34.0 35.0 18.0 19.0 12.0 16.0 14.0 14.0 21.0 21.0 ## [52306] 27.0 14.0 41.0 13.0 20.0 40.0 12.0 12.0 16.0 16.0 24.0 ## [52317] 20.0 16.0 35.0 21.0 21.0 21.0 15.0 25.0 24.0 26.0 34.0 ## [52328] 15.0 15.0 13.0 21.0 15.0 18.0 25.0 16.0 21.0 16.0 14.0 ## [52339] 13.0 17.0 13.0 21.0 22.0 26.0 30.0 42.0 17.0 20.0 21.0 ## [52350] 23.0 26.0 32.0 14.0 12.0 11.0 20.0 16.0 17.0 12.0 14.0 ## [52361] 15.0 12.0 22.0 22.0 20.0 23.0 19.0 21.0 24.0 25.0 28.0 ## [52372] 30.0 14.0 21.0 17.0 18.0 16.0 18.0 15.0 24.0 17.0 20.0 ## [52383] 12.0 15.0 13.0 13.0 14.0 20.0 12.0 20.0 20.0 19.0 16.0 ## [52394] 19.0 25.0 17.0 24.0 21.0 19.0 27.0 27.0 33.0 40.0 35.0 ## [52405] 41.0 14.0 21.0 15.0 23.0 16.0 15.0 18.0 34.0 29.0 27.0 ## [52416] 32.0 43.0 13.0 15.0 12.0 11.0 19.0 21.0 21.0 29.0 33.0 ## [52427] 32.0 29.0 33.0 36.0 42.0 17.0 24.0 17.0 24.0 12.0 14.0 ## [52438] 14.0 15.0 16.0 18.0 16.0 17.0 19.0 24.0 28.0 24.0 23.0 ## [52449] 30.0 23.0 32.0 31.0 32.0 47.0 18.0 27.0 21.0 19.0 32.0 ## [52460] 33.0 38.0 20.0 25.0 38.0 18.0 20.0 43.0 46.0 13.0 12.0 ## [52471] 14.0 16.0 14.0 16.0 19.0 19.0 16.0 19.0 32.0 23.0 20.0 ## [52482] 24.0 23.0 31.0 28.0 14.0 17.0 14.0 12.0 26.0 13.0 13.0 ## [52493] 17.0 16.0 23.0 27.0 24.0 22.0 24.0 25.0 22.0 22.0 28.0 ## [52504] 30.0 40.0 37.0 15.0 19.0 16.0 28.0 35.0 32.0 36.0 34.0 ## [52515] 33.0 39.0 38.0 15.0 18.0 14.0 15.0 22.0 26.0 33.0 23.0 ## [52526] 17.0 24.0 36.0 32.0 38.0 14.0 17.0 12.0 14.0 13.0 16.0 ## [52537] 18.0 26.0 29.0 36.0 48.0 12.0 17.0 19.0 26.0 23.0 28.0 ## [52548] 29.0 37.0 20.0 36.0 48.0 15.0 18.0 17.0 27.0 26.0 34.0 ## [52559] 15.0 31.0 43.0 14.0 13.0 31.0 18.0 15.0 18.0 20.0 22.0 ## [52570] 35.0 29.0 43.0 42.0 14.0 18.0 31.0 13.0 12.0 12.0 20.0 ## [52581] 19.0 18.0 18.0 18.0 23.0 21.0 23.0 24.0 25.0 21.0 28.0 ## [52592] 42.0 27.0 46.0 43.0 13.0 17.0 16.0 16.0 13.0 18.0 14.0 ## [52603] 22.0 20.0 40.0 32.0 27.0 31.0 19.0 31.0 31.0 41.0 39.0 ## [52614] 32.0 45.0 30.0 36.0 37.0 36.0 15.0 12.0 18.0 12.0 13.0 ## [52625] 14.0 16.0 16.0 22.0 21.0 61.0 62.0 77.0 52.0 63.0 58.0 ## [52636] 52.0 50.0 61.0 58.0 57.0 83.0 82.0 54.0 62.0 152.0 57.0 ## [52647] 55.0 70.0 50.0 59.0 94.0 138.0 54.0 305.0 64.0 59.0 84.0 ## [52658] 59.0 99.0 62.0 49.0 53.0 52.0 142.0 58.0 104.0 62.0 105.0 ## [52669] 49.0 107.0 63.0 51.0 76.0 50.0 83.0 112.0 49.0 94.0 56.0 ## [52680] 50.0 77.0 63.0 55.0 65.0 68.0 196.0 58.0 68.0 56.0 50.0 ## [52691] 109.0 73.0 50.0 52.0 54.0 107.0 51.0 83.0 64.0 70.0 55.0 ## [52702] 62.0 72.0 54.0 51.0 63.0 51.0 50.0 54.0 67.0 169.0 176.0 ## [52713] 3.0 4.0 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 ## [52724] 7.0 7.0 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 ## [52735] 9.0 7.0 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 ## [52746] 5.0 6.0 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 ## [52757] 6.0 5.0 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 ## [52768] 5.0 10.5 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 ## [52779] 4.0 5.0 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 ## [52790] 1.0 4.0 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 ## [52801] 10.5 9.0 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 ## [52812] 10.5 8.0 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 ## [52823] 10.0 0.5 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 ## [52834] 3.0 4.0 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 ## [52845] 3.0 5.0 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 ## [52856] 3.0 2.0 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 ## [52867] 2.0 4.0 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 ## [52878] 4.0 5.0 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 ## [52889] 4.0 4.0 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 ## [52900] 4.0 2.0 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 ## [52911] 3.0 4.0 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 ## [52922] 4.0 1.0 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 ## [52933] 3.0 2.0 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 ## [52944] 2.0 1.0 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 ## [52955] 4.0 4.0 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 ## [52966] 3.0 3.0 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 ## [52977] 4.0 5.0 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 ## [52988] 6.0 4.0 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 ## [52999] 2.0 3.0 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 ## [53010] 2.0 2.0 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 ## [53021] 2.0 3.0 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 ## [53032] 2.0 1.0 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 ## [53043] 1.0 4.0 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 ## [53054] 3.0 5.0 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 ## [53065] 1.0 4.0 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 ## [53076] 2.0 3.0 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 ## [53087] 3.0 6.0 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 ## [53098] 3.0 2.0 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 ## [53109] 4.0 3.0 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 ## [53120] 5.0 3.0 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 ## [53131] 4.0 2.0 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 ## [53142] 2.0 4.0 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 ## [53153] 2.0 5.0 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 ## [53164] 3.0 5.0 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 ## [53175] 2.0 2.0 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 ## [53186] 6.0 2.0 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 ## [53197] 2.0 3.0 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 ## [53208] 3.0 2.0 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 ## [53219] 3.0 4.0 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 ## [53230] 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 ## [53241] 2.0 2.0 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 ## [53252] 1.0 0.5 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [53263] 1.0 1.0 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 ## [53274] 2.0 0.5 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 ## [53285] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 ## [53296] 0.5 1.0 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 ## [53307] 1.0 0.5 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 ## [53318] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 ## [53329] 1.0 2.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 ## [53340] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [53351] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 ## [53362] 1.0 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 ## [53373] 0.5 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [53384] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 ## [53395] 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [53406] 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 ## [53417] 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 ## [53428] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 ## [53439] 6.0 10.5 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 ## [53450] 10.5 7.0 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 ## [53461] 10.5 8.0 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 ## [53472] 8.0 10.0 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 ## [53483] 7.0 7.0 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 ## [53494] 4.0 3.0 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 ## [53505] 4.0 7.0 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 ## [53516] 10.5 1.0 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 ## [53527] 6.0 0.5 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 ## [53538] 10.0 0.5 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 ## [53549] 0.5 6.0 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 ## [53560] 1.0 8.0 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 ## [53571] 9.0 7.0 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 ## [53582] 9.0 6.0 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 ## [53593] 9.0 10.0 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 ## [53604] 8.0 8.0 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 ## [53615] 8.0 9.0 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 ## [53626] 7.0 8.0 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 ## [53637] 8.0 0.5 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 ## [53648] 7.0 7.0 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 ## [53659] 5.0 6.0 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 ## [53670] 9.0 6.0 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 ## [53681] 10.0 9.0 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 ## [53692] 10.0 7.0 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 ## [53703] 10.0 1.0 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 ## [53714] 2.0 0.5 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 ## [53725] 6.0 6.0 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 ## [53736] 9.0 5.0 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 ## [53747] 5.0 7.0 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 ## [53758] 6.0 5.0 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 ## [53769] 5.0 6.0 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 ## [53780] 3.0 7.0 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 ## [53791] 5.0 10.0 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 ## [53802] 10.0 7.0 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 ## [53813] 6.0 6.0 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 ## [53824] 7.0 8.0 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 ## [53835] 4.0 4.0 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 ## [53846] 4.0 7.0 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 ## [53857] 7.0 9.0 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 ## [53868] 2.0 8.0 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 ## [53879] 6.0 5.0 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 ## [53890] 8.0 8.0 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 ## [53901] 6.0 10.0 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 ## [53912] 10.5 6.0 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 ## [53923] 8.0 1.0 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 ## [53934] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [53945] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [53956] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [53967] 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [53978] 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [53989] 1.0 0.5 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 ## [54000] 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 ## [54011] 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 ## [54022] 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [54033] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [54044] 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 ## [54055] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 ## [54066] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [54077] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [54088] 1.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 ## [54099] 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 ## [54110] 2.0 1.0 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 ## [54121] 3.0 2.0 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 ## [54132] 3.0 4.0 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 ## [54143] 1.0 2.0 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 ## [54154] 2.0 2.0 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 ## [54165] 2.0 2.0 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 ## [54176] 2.0 5.0 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 ## [54187] 2.0 2.0 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 ## [54198] 4.0 6.0 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 ## [54209] 2.0 3.0 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 ## [54220] 2.0 4.0 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 ## [54231] 3.0 2.0 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 ## [54242] 1.0 2.0 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 ## [54253] 2.0 1.0 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 ## [54264] 10.0 10.5 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 ## [54275] 10.5 8.0 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 ## [54286] 10.0 10.5 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 ## [54297] 23.0 30.0 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 ## [54308] 17.0 18.0 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 ## [54319] 14.0 27.0 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 ## [54330] 13.0 27.0 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 ## [54341] 19.0 23.0 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 ## [54352] 19.0 24.0 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 ## [54363] 43.0 15.0 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 ## [54374] 20.0 23.0 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 ## [54385] 29.0 25.0 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 ## [54396] 16.0 23.0 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 ## [54407] 38.0 20.0 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 ## [54418] 19.0 25.0 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 ## [54429] 21.0 29.0 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 ## [54440] 25.0 29.0 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 ## [54451] 46.0 26.0 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 ## [54462] 32.0 35.0 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 ## [54473] 14.0 16.0 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 ## [54484] 23.0 41.0 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 ## [54495] 20.0 15.0 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 ## [54506] 22.0 12.0 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 ## [54517] 13.0 20.0 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 ## [54528] 16.0 23.0 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 ## [54539] 14.0 34.0 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 ## [54550] 21.0 43.0 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 ## [54561] 40.0 19.0 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 ## [54572] 24.0 46.0 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 ## [54583] 17.0 27.0 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 ## [54594] 12.0 14.0 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 ## [54605] 12.0 13.0 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 ## [54616] 12.0 14.0 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 ## [54627] 12.0 12.0 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 ## [54638] 12.0 12.0 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 ## [54649] 15.0 13.0 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 ## [54660] 12.0 17.0 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 ## [54671] 19.0 18.0 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 ## [54682] 21.0 16.0 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 ## [54693] 35.0 18.0 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 ## [54704] 41.0 13.0 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 ## [54715] 35.0 21.0 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 ## [54726] 13.0 21.0 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 ## [54737] 13.0 21.0 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 ## [54748] 32.0 14.0 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 ## [54759] 22.0 22.0 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 ## [54770] 21.0 17.0 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 ## [54781] 13.0 13.0 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 ## [54792] 17.0 24.0 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 ## [54803] 21.0 15.0 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 ## [54814] 13.0 15.0 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 ## [54825] 33.0 36.0 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 ## [54836] 16.0 18.0 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 ## [54847] 32.0 31.0 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 ## [54858] 20.0 25.0 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 ## [54869] 14.0 16.0 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 ## [54880] 31.0 28.0 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 ## [54891] 23.0 27.0 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 ## [54902] 37.0 15.0 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 ## [54913] 38.0 15.0 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 ## [54924] 36.0 32.0 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 ## [54935] 29.0 36.0 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 ## [54946] 20.0 36.0 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 ## [54957] 43.0 14.0 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 ## [54968] 43.0 42.0 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 ## [54979] 18.0 18.0 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 ## [54990] 46.0 43.0 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 ## [55001] 40.0 32.0 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 ## [55012] 30.0 36.0 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 ## [55023] 16.0 22.0 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 ## [55034] 61.0 58.0 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 ## [55045] 50.0 59.0 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 ## [55056] 62.0 49.0 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 ## [55067] 63.0 51.0 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 ## [55078] 63.0 55.0 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 ## [55089] 50.0 52.0 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 ## [55100] 54.0 51.0 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 ## [55111] 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 ## [55122] 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 ## [55133] 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 ## [55144] 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 ## [55155] 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 ## [55166] 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 ## [55177] 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 ## [55188] 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 ## [55199] 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 ## [55210] 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 ## [55221] 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 ## [55232] 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 ## [55243] 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 ## [55254] 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 ## [55265] 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 ## [55276] 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 ## [55287] 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 ## [55298] 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 ## [55309] 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 ## [55320] 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 ## [55331] 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 ## [55342] 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 ## [55353] 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 ## [55364] 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 ## [55375] 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 ## [55386] 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 ## [55397] 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 ## [55408] 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 ## [55419] 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 ## [55430] 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 ## [55441] 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 ## [55452] 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 ## [55463] 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 ## [55474] 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 ## [55485] 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 ## [55496] 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 ## [55507] 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 ## [55518] 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 ## [55529] 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 ## [55540] 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 ## [55551] 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 ## [55562] 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 ## [55573] 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 ## [55584] 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 ## [55595] 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 ## [55606] 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 ## [55617] 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 ## [55628] 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 ## [55639] 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 ## [55650] 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [55661] 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 ## [55672] 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 ## [55683] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [55694] 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 ## [55705] 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 ## [55716] 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 ## [55727] 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [55738] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [55749] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 ## [55760] 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [55771] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [55782] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 ## [55793] 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 ## [55804] 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [55815] 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 ## [55826] 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 ## [55837] 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 ## [55848] 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 ## [55859] 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 ## [55870] 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 ## [55881] 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 ## [55892] 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 ## [55903] 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 ## [55914] 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 ## [55925] 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 ## [55936] 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 ## [55947] 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 ## [55958] 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 ## [55969] 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 ## [55980] 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 ## [55991] 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 ## [56002] 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 ## [56013] 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 ## [56024] 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 ## [56035] 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 ## [56046] 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 ## [56057] 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 ## [56068] 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 ## [56079] 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 ## [56090] 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 ## [56101] 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 ## [56112] 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 ## [56123] 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 ## [56134] 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 ## [56145] 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 ## [56156] 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 ## [56167] 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 ## [56178] 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 ## [56189] 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 ## [56200] 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 ## [56211] 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 ## [56222] 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 ## [56233] 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 ## [56244] 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 ## [56255] 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 ## [56266] 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 ## [56277] 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 ## [56288] 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 ## [56299] 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 ## [56310] 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 ## [56321] 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 ## [56332] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 ## [56343] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [56354] 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [56365] 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [56376] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [56387] 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [56398] 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [56409] 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [56420] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [56431] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [56442] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 ## [56453] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [56464] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [56475] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [56486] 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 ## [56497] 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 ## [56508] 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 ## [56519] 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 ## [56530] 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 ## [56541] 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 2.0 2.0 ## [56552] 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 2.0 2.0 ## [56563] 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 2.0 5.0 ## [56574] 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 2.0 2.0 ## [56585] 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 4.0 6.0 ## [56596] 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 2.0 3.0 ## [56607] 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 4.0 ## [56618] 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 3.0 2.0 ## [56629] 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 1.0 2.0 ## [56640] 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 2.0 1.0 ## [56651] 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 10.0 10.5 ## [56662] 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 10.5 8.0 ## [56673] 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 10.0 10.5 ## [56684] 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 23.0 30.0 ## [56695] 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 17.0 18.0 ## [56706] 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 14.0 27.0 ## [56717] 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 13.0 27.0 ## [56728] 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 19.0 23.0 ## [56739] 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 19.0 24.0 ## [56750] 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 43.0 15.0 ## [56761] 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 20.0 23.0 ## [56772] 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 29.0 25.0 ## [56783] 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 16.0 23.0 ## [56794] 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 38.0 20.0 ## [56805] 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 19.0 25.0 ## [56816] 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 21.0 29.0 ## [56827] 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 25.0 29.0 ## [56838] 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 46.0 26.0 ## [56849] 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 32.0 35.0 ## [56860] 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 14.0 16.0 ## [56871] 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 23.0 41.0 ## [56882] 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 20.0 15.0 ## [56893] 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 22.0 12.0 ## [56904] 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 13.0 20.0 ## [56915] 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 16.0 23.0 ## [56926] 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 14.0 34.0 ## [56937] 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 21.0 43.0 ## [56948] 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 40.0 19.0 ## [56959] 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 24.0 46.0 ## [56970] 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 17.0 27.0 ## [56981] 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 12.0 14.0 ## [56992] 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 12.0 13.0 ## [57003] 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 12.0 14.0 ## [57014] 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 12.0 12.0 ## [57025] 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 12.0 12.0 ## [57036] 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 15.0 13.0 ## [57047] 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 12.0 17.0 ## [57058] 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 19.0 18.0 ## [57069] 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 21.0 16.0 ## [57080] 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 35.0 18.0 ## [57091] 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 41.0 13.0 ## [57102] 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 35.0 21.0 ## [57113] 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 13.0 21.0 ## [57124] 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 13.0 21.0 ## [57135] 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 32.0 14.0 ## [57146] 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 22.0 22.0 ## [57157] 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 21.0 17.0 ## [57168] 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 13.0 13.0 ## [57179] 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 17.0 24.0 ## [57190] 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 21.0 15.0 ## [57201] 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 13.0 15.0 ## [57212] 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 33.0 36.0 ## [57223] 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 16.0 18.0 ## [57234] 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 32.0 31.0 ## [57245] 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 20.0 25.0 ## [57256] 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 14.0 16.0 ## [57267] 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 31.0 28.0 ## [57278] 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 23.0 27.0 ## [57289] 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 37.0 15.0 ## [57300] 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 38.0 15.0 ## [57311] 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 36.0 32.0 ## [57322] 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 29.0 36.0 ## [57333] 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 20.0 36.0 ## [57344] 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 43.0 14.0 ## [57355] 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 43.0 42.0 ## [57366] 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 18.0 18.0 ## [57377] 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 46.0 43.0 ## [57388] 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 40.0 32.0 ## [57399] 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 30.0 36.0 ## [57410] 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 16.0 22.0 ## [57421] 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 61.0 58.0 ## [57432] 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 50.0 59.0 ## [57443] 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 62.0 49.0 ## [57454] 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 63.0 51.0 ## [57465] 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 63.0 55.0 ## [57476] 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 50.0 52.0 ## [57487] 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 54.0 51.0 ## [57498] 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 7.0 5.0 ## [57509] 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 4.0 7.0 ## [57520] 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 6.0 6.0 ## [57531] 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 5.0 6.0 ## [57542] 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 5.0 8.0 ## [57553] 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 6.0 10.0 ## [57564] 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 7.0 4.0 ## [57575] 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 7.0 4.0 ## [57586] 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 3.0 9.0 ## [57597] 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 0.5 9.0 ## [57608] 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 0.5 0.5 ## [57619] 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 2.0 3.0 ## [57630] 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 4.0 4.0 ## [57641] 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 4.0 3.0 ## [57652] 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 2.0 2.0 ## [57663] 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 4.0 3.0 ## [57674] 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 4.0 5.0 ## [57685] 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 3.0 5.0 ## [57696] 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 5.0 3.0 ## [57707] 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 3.0 2.0 ## [57718] 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 2.0 3.0 ## [57729] 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 2.0 2.0 ## [57740] 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 7.0 4.0 ## [57751] 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 5.0 3.0 ## [57762] 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 4.0 2.0 ## [57773] 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 2.0 1.0 ## [57784] 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 5.0 3.0 ## [57795] 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 2.0 2.0 ## [57806] 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 4.0 5.0 ## [57817] 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 2.0 2.0 ## [57828] 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 3.0 4.0 ## [57839] 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 2.0 1.0 ## [57850] 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 2.0 2.0 ## [57861] 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 2.0 3.0 ## [57872] 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 3.0 1.0 ## [57883] 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 2.0 3.0 ## [57894] 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 2.0 3.0 ## [57905] 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 3.0 5.0 ## [57916] 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 4.0 4.0 ## [57927] 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 3.0 2.0 ## [57938] 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 3.0 4.0 ## [57949] 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 4.0 5.0 ## [57960] 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 2.0 1.0 ## [57971] 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 3.0 4.0 ## [57982] 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 3.0 3.0 ## [57993] 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 3.0 5.0 ## [58004] 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 5.0 2.0 ## [58015] 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 1.0 1.0 ## [58026] 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 1.0 1.0 ## [58037] 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 0.5 2.0 ## [58048] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [58059] 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 0.5 0.5 ## [58070] 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 ## [58081] 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [58092] 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 1.0 2.0 ## [58103] 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 ## [58114] 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 1.0 0.5 ## [58125] 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [58136] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [58147] 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 ## [58158] 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 ## [58169] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [58180] 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [58191] 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 ## [58202] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 2.0 ## [58213] 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.5 ## [58224] 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 9.0 6.0 ## [58235] 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 8.0 5.0 ## [58246] 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 9.0 9.0 ## [58257] 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 6.0 8.0 ## [58268] 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 7.0 6.0 ## [58279] 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 7.0 7.0 ## [58290] 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 1.0 9.0 ## [58301] 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 4.0 8.0 ## [58312] 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 5.0 5.0 ## [58323] 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 5.0 8.0 ## [58334] 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 7.0 8.0 ## [58345] 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 10.5 8.0 ## [58356] 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 8.0 5.0 ## [58367] 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 7.0 0.5 ## [58378] 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 0.5 8.0 ## [58389] 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 4.0 7.0 ## [58400] 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 5.0 5.0 ## [58411] 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 6.0 9.0 ## [58422] 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 10.0 7.0 ## [58433] 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 8.0 4.0 ## [58444] 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 9.0 7.0 ## [58455] 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 8.0 6.0 ## [58466] 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 4.0 0.5 ## [58477] 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 1.0 7.0 ## [58488] 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 7.0 7.0 ## [58499] 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 7.0 5.0 ## [58510] 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 10.0 5.0 ## [58521] 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 6.0 10.5 ## [58532] 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 7.0 0.5 ## [58543] 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 0.5 7.0 ## [58554] 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 6.0 6.0 ## [58565] 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 10.5 10.5 ## [58576] 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 7.0 5.0 ## [58587] 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 6.0 9.0 ## [58598] 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 8.0 1.0 ## [58609] 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 1.0 9.0 ## [58620] 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 1.0 9.0 ## [58631] 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 8.0 8.0 ## [58642] 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 7.0 10.0 ## [58653] 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 6.0 6.0 ## [58664] 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 4.0 10.0 ## [58675] 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 5.0 5.0 ## [58686] 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 6.0 8.0 ## [58697] 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 1.0 8.0 ## [58708] 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 7.0 6.0 ## [58719] 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [58730] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.5 0.5 ## [58741] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [58752] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [58763] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [58774] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 0.5 ## [58785] 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [58796] 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [58807] 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [58818] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [58829] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 ## [58840] 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [58851] 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [58862] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [58873] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 ## [58884] 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 1.0 1.0 ## [58895] 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 2.0 2.0 ## [58906] 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 2.0 2.0 ## [58917] 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 2.0 2.0 ## [58928] 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 1.0 3.0 ## [58939] 3.0 2.0 2.0 6.0 1.0 3.0 4.0 2.0 2.0 2.0 2.0 ## [58950] 4.0 3.0 2.0 3.0 2.0 2.0 2.0 2.0 2.0 4.0 2.0 ## [58961] 2.0 3.0 4.0 2.0 2.0 2.0 3.0 2.0 5.0 2.0 1.0 ## [58972] 1.0 2.0 2.0 2.0 3.0 3.0 4.0 2.0 2.0 5.0 6.0 ## [58983] 3.0 3.0 3.0 2.0 4.0 2.0 2.0 4.0 6.0 2.0 1.0 ## [58994] 2.0 2.0 1.0 1.0 3.0 2.0 5.0 2.0 3.0 1.0 3.0 ## [59005] 2.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 4.0 3.0 2.0 ## [59016] 2.0 2.0 3.0 1.0 2.0 2.0 1.0 3.0 2.0 6.0 4.0 ## [59027] 5.0 3.0 1.0 1.0 3.0 2.0 1.0 1.0 2.0 4.0 2.0 ## [59038] 3.0 2.0 2.0 2.0 1.0 2.0 1.0 2.0 1.0 4.0 2.0 ## [59049] 1.0 2.0 4.0 2.0 9.0 10.5 10.5 10.0 10.5 10.0 6.0 ## [59060] 8.0 10.0 9.0 10.5 10.0 10.5 10.0 10.5 8.0 10.5 10.0 ## [59071] 10.5 10.5 10.5 10.0 10.0 10.0 10.0 10.0 10.5 10.5 13.0 ## [59082] 12.0 14.0 14.0 11.0 13.0 14.0 22.0 23.0 30.0 27.0 18.0 ## [59093] 23.0 27.0 29.0 35.0 34.0 29.0 27.0 17.0 18.0 21.0 23.0 ## [59104] 24.0 27.0 35.0 42.0 14.0 15.0 24.0 14.0 27.0 25.0 24.0 ## [59115] 28.0 42.0 30.0 43.0 22.0 26.0 40.0 13.0 27.0 31.0 41.0 ## [59126] 41.0 46.0 12.0 47.0 26.0 38.0 18.0 19.0 23.0 16.0 14.0 ## [59137] 23.0 27.0 13.0 18.0 14.0 21.0 18.0 19.0 24.0 25.0 15.0 ## [59148] 22.0 23.0 27.0 25.0 36.0 33.0 38.0 43.0 15.0 34.0 46.0 ## [59159] 40.0 13.0 15.0 17.0 19.0 22.0 14.0 20.0 23.0 33.0 36.0 ## [59170] 34.0 16.0 16.0 15.0 26.0 27.0 14.0 29.0 25.0 45.0 46.0 ## [59181] 17.0 16.0 12.0 15.0 18.0 16.0 21.0 16.0 23.0 25.0 35.0 ## [59192] 32.0 47.0 12.0 22.0 15.0 13.0 20.0 38.0 20.0 30.0 23.0 ## [59203] 18.0 34.0 26.0 22.0 20.0 19.0 15.0 19.0 25.0 38.0 20.0 ## [59214] 12.0 12.0 12.0 12.0 21.0 22.0 23.0 21.0 29.0 44.0 13.0 ## [59225] 22.0 12.0 15.0 13.0 18.0 21.0 31.0 25.0 29.0 36.0 47.0 ## [59236] 22.0 19.0 29.0 29.0 38.0 36.0 18.0 46.0 26.0 39.0 14.0 ## [59247] 18.0 17.0 30.0 37.0 22.0 16.0 27.0 32.0 35.0 22.0 23.0 ## [59258] 18.0 47.0 19.0 14.0 43.0 14.0 12.0 14.0 16.0 19.0 27.0 ## [59269] 44.0 18.0 15.0 30.0 37.0 31.0 33.0 23.0 41.0 23.0 43.0 ## [59280] 13.0 13.0 16.0 20.0 16.0 11.0 17.0 20.0 15.0 16.0 34.0 ## [59291] 17.0 17.0 25.0 13.0 13.0 30.0 14.0 22.0 12.0 13.0 17.0 ## [59302] 27.0 14.0 38.0 12.0 13.0 27.0 33.0 13.0 20.0 19.0 28.0 ## [59313] 14.0 37.0 41.0 39.0 12.0 18.0 14.0 16.0 23.0 43.0 16.0 ## [59324] 14.0 16.0 12.0 26.0 19.0 19.0 21.0 14.0 34.0 32.0 15.0 ## [59335] 45.0 34.0 22.0 32.0 22.0 39.0 24.0 21.0 43.0 17.0 17.0 ## [59346] 23.0 18.0 15.0 23.0 15.0 19.0 22.0 40.0 19.0 43.0 12.0 ## [59357] 21.0 15.0 29.0 15.0 22.0 19.0 22.0 24.0 46.0 41.0 21.0 ## [59368] 12.0 13.0 27.0 19.0 22.0 18.0 15.0 17.0 27.0 11.0 21.0 ## [59379] 26.0 23.0 45.0 12.0 17.0 12.0 12.0 12.0 14.0 13.0 13.0 ## [59390] 15.0 12.0 15.0 13.0 12.0 13.0 13.0 12.0 13.0 12.0 13.0 ## [59401] 13.0 12.0 12.0 12.0 12.0 13.0 12.0 12.0 14.0 14.0 14.0 ## [59412] 12.0 11.0 13.0 12.0 14.0 12.0 12.0 12.0 12.0 12.0 12.0 ## [59423] 12.0 16.0 13.0 11.0 13.0 13.0 14.0 12.0 12.0 16.0 12.0 ## [59434] 12.0 13.0 12.0 12.0 16.0 13.0 12.0 15.0 13.0 12.0 16.0 ## [59445] 16.0 11.0 14.0 13.0 18.0 13.0 16.0 12.0 17.0 14.0 16.0 ## [59456] 13.0 15.0 12.0 13.0 14.0 14.0 17.0 19.0 18.0 24.0 14.0 ## [59467] 13.0 15.0 22.0 20.0 19.0 19.0 22.0 21.0 16.0 18.0 17.0 ## [59478] 32.0 12.0 15.0 15.0 20.0 19.0 34.0 35.0 18.0 19.0 12.0 ## [59489] 16.0 14.0 14.0 21.0 21.0 27.0 14.0 41.0 13.0 20.0 40.0 ## [59500] 12.0 12.0 16.0 16.0 24.0 20.0 16.0 35.0 21.0 21.0 21.0 ## [59511] 15.0 25.0 24.0 26.0 34.0 15.0 15.0 13.0 21.0 15.0 18.0 ## [59522] 25.0 16.0 21.0 16.0 14.0 13.0 17.0 13.0 21.0 22.0 26.0 ## [59533] 30.0 42.0 17.0 20.0 21.0 23.0 26.0 32.0 14.0 12.0 11.0 ## [59544] 20.0 16.0 17.0 12.0 14.0 15.0 12.0 22.0 22.0 20.0 23.0 ## [59555] 19.0 21.0 24.0 25.0 28.0 30.0 14.0 21.0 17.0 18.0 16.0 ## [59566] 18.0 15.0 24.0 17.0 20.0 12.0 15.0 13.0 13.0 14.0 20.0 ## [59577] 12.0 20.0 20.0 19.0 16.0 19.0 25.0 17.0 24.0 21.0 19.0 ## [59588] 27.0 27.0 33.0 40.0 35.0 41.0 14.0 21.0 15.0 23.0 16.0 ## [59599] 15.0 18.0 34.0 29.0 27.0 32.0 43.0 13.0 15.0 12.0 11.0 ## [59610] 19.0 21.0 21.0 29.0 33.0 32.0 29.0 33.0 36.0 42.0 17.0 ## [59621] 24.0 17.0 24.0 12.0 14.0 14.0 15.0 16.0 18.0 16.0 17.0 ## [59632] 19.0 24.0 28.0 24.0 23.0 30.0 23.0 32.0 31.0 32.0 47.0 ## [59643] 18.0 27.0 21.0 19.0 32.0 33.0 38.0 20.0 25.0 38.0 18.0 ## [59654] 20.0 43.0 46.0 13.0 12.0 14.0 16.0 14.0 16.0 19.0 19.0 ## [59665] 16.0 19.0 32.0 23.0 20.0 24.0 23.0 31.0 28.0 14.0 17.0 ## [59676] 14.0 12.0 26.0 13.0 13.0 17.0 16.0 23.0 27.0 24.0 22.0 ## [59687] 24.0 25.0 22.0 22.0 28.0 30.0 40.0 37.0 15.0 19.0 16.0 ## [59698] 28.0 35.0 32.0 36.0 34.0 33.0 39.0 38.0 15.0 18.0 14.0 ## [59709] 15.0 22.0 26.0 33.0 23.0 17.0 24.0 36.0 32.0 38.0 14.0 ## [59720] 17.0 12.0 14.0 13.0 16.0 18.0 26.0 29.0 36.0 48.0 12.0 ## [59731] 17.0 19.0 26.0 23.0 28.0 29.0 37.0 20.0 36.0 48.0 15.0 ## [59742] 18.0 17.0 27.0 26.0 34.0 15.0 31.0 43.0 14.0 13.0 31.0 ## [59753] 18.0 15.0 18.0 20.0 22.0 35.0 29.0 43.0 42.0 14.0 18.0 ## [59764] 31.0 13.0 12.0 12.0 20.0 19.0 18.0 18.0 18.0 23.0 21.0 ## [59775] 23.0 24.0 25.0 21.0 28.0 42.0 27.0 46.0 43.0 13.0 17.0 ## [59786] 16.0 16.0 13.0 18.0 14.0 22.0 20.0 40.0 32.0 27.0 31.0 ## [59797] 19.0 31.0 31.0 41.0 39.0 32.0 45.0 30.0 36.0 37.0 36.0 ## [59808] 15.0 12.0 18.0 12.0 13.0 14.0 16.0 16.0 22.0 21.0 61.0 ## [59819] 62.0 77.0 52.0 63.0 58.0 52.0 50.0 61.0 58.0 57.0 83.0 ## [59830] 82.0 54.0 62.0 152.0 57.0 55.0 70.0 50.0 59.0 94.0 138.0 ## [59841] 54.0 305.0 64.0 59.0 84.0 59.0 99.0 62.0 49.0 53.0 52.0 ## [59852] 142.0 58.0 104.0 62.0 105.0 49.0 107.0 63.0 51.0 76.0 50.0 ## [59863] 83.0 112.0 49.0 94.0 56.0 50.0 77.0 63.0 55.0 65.0 68.0 ## [59874] 196.0 58.0 68.0 56.0 50.0 109.0 73.0 50.0 52.0 54.0 107.0 ## [59885] 51.0 83.0 64.0 70.0 55.0 62.0 72.0 54.0 51.0 63.0 51.0 ## [59896] 50.0 54.0 67.0 169.0 176.0 3.0 4.0 7.0 5.0 7.0 3.0 ## [59907] 10.5 10.0 5.0 5.0 6.0 7.0 7.0 4.0 7.0 5.0 4.0 ## [59918] 5.0 5.0 7.0 8.0 6.0 9.0 7.0 6.0 6.0 7.0 9.0 ## [59929] 4.0 5.0 6.0 6.0 5.0 5.0 6.0 5.0 6.0 9.0 5.0 ## [59940] 10.5 5.0 8.0 8.0 5.0 6.0 5.0 5.0 8.0 5.0 8.0 ## [59951] 7.0 6.0 5.0 4.0 5.0 5.0 10.5 6.0 10.0 8.0 5.0 ## [59962] 9.0 5.0 10.0 5.0 7.0 4.0 5.0 7.0 4.0 5.0 5.0 ## [59973] 4.0 7.0 7.0 4.0 7.0 1.0 4.0 7.0 4.0 2.0 2.0 ## [59984] 10.5 10.5 9.0 10.5 10.5 10.5 9.0 3.0 9.0 8.0 10.0 ## [59995] 10.5 10.0 6.0 10.5 10.0 10.5 8.0 0.5 9.0 8.0 6.0 ## [60006] 0.5 9.0 0.5 8.0 1.0 10.0 0.5 0.5 0.5 0.5 10.5 ## [60017] 1.0 8.0 0.5 0.5 0.5 3.0 4.0 2.0 3.0 2.0 3.0 ## [60028] 3.0 4.0 1.0 2.0 4.0 3.0 5.0 4.0 4.0 5.0 5.0 ## [60039] 1.0 2.0 1.0 3.0 2.0 3.0 2.0 4.0 3.0 4.0 5.0 ## [60050] 6.0 6.0 0.5 4.0 4.0 2.0 4.0 2.0 2.0 2.0 1.0 ## [60061] 2.0 4.0 0.5 4.0 4.0 4.0 5.0 4.0 3.0 2.0 3.0 ## [60072] 4.0 2.0 0.5 4.0 2.0 4.0 4.0 4.0 5.0 2.0 2.0 ## [60083] 1.0 1.0 0.5 1.0 3.0 4.0 2.0 3.0 5.0 4.0 5.0 ## [60094] 4.0 2.0 0.5 2.0 1.0 3.0 4.0 5.0 3.0 4.0 4.0 ## [60105] 3.0 2.0 0.5 1.0 3.0 4.0 1.0 3.0 2.0 3.0 4.0 ## [60116] 6.0 5.0 1.0 1.0 6.0 3.0 2.0 2.0 3.0 4.0 3.0 ## [60127] 3.0 6.0 0.5 2.0 2.0 2.0 1.0 2.0 2.0 2.0 2.0 ## [60138] 3.0 3.0 0.5 3.0 5.0 4.0 4.0 7.0 4.0 5.0 5.0 ## [60149] 4.0 10.0 0.5 5.0 2.0 3.0 3.0 5.0 3.0 2.0 4.0 ## [60160] 4.0 1.0 0.5 3.0 3.0 4.0 5.0 4.0 2.0 1.0 3.0 ## [60171] 2.0 1.0 0.5 3.0 3.0 6.0 4.0 2.0 1.0 2.0 4.0 ## [60182] 3.0 3.0 0.5 1.0 2.0 2.0 3.0 5.0 3.0 4.0 3.0 ## [60193] 1.0 5.0 0.5 2.0 3.0 2.0 2.0 2.0 2.0 1.0 4.0 ## [60204] 5.0 2.0 0.5 1.0 2.0 2.0 3.0 4.0 5.0 3.0 2.0 ## [60215] 3.0 2.0 1.0 2.0 5.0 2.0 1.0 2.0 2.0 2.0 1.0 ## [60226] 6.0 4.0 1.0 5.0 5.0 1.0 4.0 3.0 4.0 2.0 1.0 ## [60237] 2.0 3.0 1.0 4.0 3.0 3.0 5.0 2.0 1.0 2.0 1.0 ## [60248] 3.0 4.0 0.5 3.0 4.0 1.0 4.0 2.0 2.0 2.0 2.0 ## [60259] 2.0 2.0 0.5 3.0 3.0 2.0 3.0 2.0 3.0 4.0 3.0 ## [60270] 1.0 2.0 0.5 3.0 4.0 3.0 6.0 3.0 1.0 2.0 3.0 ## [60281] 4.0 5.0 1.0 3.0 3.0 3.0 2.0 2.0 3.0 2.0 4.0 ## [60292] 4.0 2.0 0.5 3.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 ## [60303] 6.0 3.0 0.5 4.0 3.0 5.0 3.0 3.0 5.0 2.0 2.0 ## [60314] 3.0 3.0 1.0 1.0 4.0 4.0 2.0 4.0 4.0 3.0 4.0 ## [60325] 4.0 2.0 1.0 3.0 1.0 2.0 4.0 3.0 2.0 3.0 4.0 ## [60336] 4.0 2.0 1.0 3.0 3.0 2.0 5.0 3.0 4.0 4.0 3.0 ## [60347] 4.0 3.0 0.5 2.0 2.0 3.0 5.0 4.0 5.0 2.0 2.0 ## [60358] 3.0 4.0 0.5 3.0 2.0 2.0 2.0 2.0 1.0 5.0 5.0 ## [60369] 7.0 2.0 0.5 2.0 1.0 6.0 2.0 3.0 4.0 2.0 2.0 ## [60380] 3.0 3.0 1.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0 3.0 ## [60391] 5.0 3.0 0.5 2.0 2.0 3.0 2.0 3.0 5.0 3.0 2.0 ## [60402] 2.0 2.0 0.5 2.0 2.0 3.0 4.0 5.0 2.0 3.0 4.0 ## [60413] 0.5 1.0 0.5 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 ## [60424] 1.0 1.0 0.5 2.0 1.0 2.0 2.0 1.0 1.0 0.5 1.0 ## [60435] 1.0 2.0 0.5 0.5 1.0 1.0 0.5 0.5 2.0 0.5 0.5 ## [60446] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 0.5 1.0 ## [60457] 0.5 0.5 0.5 1.0 1.0 2.0 0.5 0.5 0.5 0.5 2.0 ## [60468] 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [60479] 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 2.0 ## [60490] 1.0 1.0 0.5 1.0 1.0 1.0 0.5 1.0 2.0 1.0 1.0 ## [60501] 1.0 2.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 1.0 1.0 ## [60512] 0.5 1.0 0.5 1.0 1.0 1.0 2.0 1.0 0.5 1.0 0.5 ## [60523] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [60534] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [60545] 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 1.0 1.0 ## [60556] 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 1.0 ## [60567] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [60578] 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 1.0 1.0 ## [60589] 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [60600] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 2.0 1.0 1.0 ## [60611] 1.0 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [60622] 1.0 1.0 0.5 4.0 9.0 6.0 10.5 9.0 6.0 5.0 5.0 ## [60633] 8.0 7.0 0.5 9.0 10.0 10.5 7.0 8.0 5.0 4.0 6.0 ## [60644] 6.0 6.0 0.5 8.0 6.0 10.5 8.0 9.0 9.0 10.0 4.0 ## [60655] 0.5 5.0 10.0 10.0 6.0 8.0 10.0 6.0 8.0 7.0 7.0 ## [60666] 1.0 8.0 7.0 7.0 9.0 7.0 7.0 7.0 6.0 7.0 0.5 ## [60677] 6.0 7.0 7.0 9.0 10.0 4.0 3.0 7.0 7.0 1.0 9.0 ## [60688] 5.0 6.0 5.0 7.0 6.0 4.0 7.0 1.0 9.0 10.0 9.0 ## [60699] 10.5 5.0 8.0 10.0 10.0 10.5 1.0 4.0 8.0 6.0 7.0 ## [60710] 9.0 10.0 8.0 10.5 3.0 6.0 0.5 5.0 5.0 7.0 10.5 ## [60721] 7.0 8.0 8.0 6.0 10.0 10.0 0.5 5.0 8.0 8.0 8.0 ## [60732] 10.0 3.0 10.0 6.0 5.0 0.5 6.0 7.0 8.0 7.0 8.0 ## [60743] 7.0 7.0 7.0 6.0 8.0 1.0 8.0 10.5 8.0 10.0 6.0 ## [60754] 4.0 9.0 8.0 10.5 1.0 9.0 7.0 8.0 5.0 6.0 0.5 ## [60765] 4.0 6.0 10.0 6.0 6.0 9.0 6.0 7.0 0.5 8.0 7.0 ## [60776] 9.0 8.0 9.0 10.5 10.0 9.0 10.0 0.5 8.0 5.0 7.0 ## [60787] 7.0 8.0 6.0 10.0 0.5 8.0 8.0 4.0 7.0 7.0 10.0 ## [60798] 7.0 0.5 8.0 5.0 6.0 8.0 9.0 5.0 5.0 7.0 1.0 ## [60809] 7.0 6.0 8.0 8.0 4.0 7.0 8.0 6.0 9.0 0.5 10.5 ## [60820] 10.0 10.0 7.0 10.0 10.5 8.0 0.5 10.0 7.0 8.0 8.0 ## [60831] 5.0 10.0 10.5 9.0 0.5 7.0 7.0 8.0 4.0 6.0 7.0 ## [60842] 10.0 7.0 1.0 10.0 10.0 5.0 6.0 9.0 7.0 10.0 10.0 ## [60853] 1.0 5.0 9.0 7.0 6.0 9.0 6.0 8.0 6.0 1.0 9.0 ## [60864] 5.0 6.0 6.0 5.0 9.0 10.0 9.0 4.0 0.5 10.0 7.0 ## [60875] 6.0 7.0 10.0 10.0 10.5 10.0 7.0 1.0 7.0 7.0 9.0 ## [60886] 9.0 10.0 9.0 10.5 6.0 10.0 1.0 7.0 7.0 9.0 6.0 ## [60897] 10.5 5.0 7.0 9.0 9.0 2.0 0.5 7.0 5.0 6.0 8.0 ## [60908] 10.5 7.0 10.5 1.0 5.0 6.0 6.0 10.0 5.0 8.0 6.0 ## [60919] 7.0 0.5 10.0 5.0 10.0 9.0 5.0 6.0 10.5 1.0 8.0 ## [60930] 6.0 6.0 8.0 8.0 8.0 5.0 7.0 7.0 0.5 9.0 5.0 ## [60941] 8.0 7.0 10.0 8.0 8.0 6.0 5.0 0.5 7.0 10.0 5.0 ## [60952] 5.0 5.0 8.0 4.0 0.5 5.0 6.0 6.0 6.0 8.0 9.0 ## [60963] 7.0 10.5 6.0 0.5 6.0 3.0 7.0 10.5 10.5 9.0 9.0 ## [60974] 4.0 7.0 6.0 0.5 8.0 5.0 10.0 7.0 5.0 7.0 10.0 ## [60985] 0.5 8.0 8.0 9.0 10.5 10.0 7.0 6.0 9.0 0.5 8.0 ## [60996] 5.0 5.0 8.0 8.0 7.0 6.0 6.0 8.0 1.0 8.0 5.0 ## [61007] 7.0 2.0 8.0 7.0 10.5 7.0 8.0 1.0 9.0 7.0 9.0 ## [61018] 9.0 9.0 6.0 9.0 7.0 4.0 4.0 1.0 9.0 9.0 10.0 ## [61029] 10.0 5.0 5.0 10.5 0.5 4.0 7.0 8.0 8.0 9.0 9.0 ## [61040] 7.0 8.0 7.0 7.0 0.5 7.0 9.0 7.0 10.0 5.0 7.0 ## [61051] 8.0 10.0 8.0 0.5 5.0 2.0 8.0 6.0 6.0 6.0 8.0 ## [61062] 8.0 0.5 8.0 7.0 9.0 6.0 5.0 4.0 10.0 3.0 6.0 ## [61073] 0.5 6.0 9.0 10.5 3.0 8.0 8.0 5.0 5.0 6.0 0.5 ## [61084] 9.0 9.0 6.0 9.0 7.0 6.0 10.0 6.0 8.0 9.0 1.0 ## [61095] 5.0 7.0 10.0 9.0 5.0 10.5 6.0 1.0 8.0 10.5 10.5 ## [61106] 5.0 6.0 5.0 7.0 8.0 8.0 1.0 7.0 6.0 4.0 7.0 ## [61117] 9.0 7.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [61128] 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [61139] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [61150] 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [61161] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 ## [61172] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 0.5 1.0 0.5 ## [61183] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 ## [61194] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [61205] 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [61216] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [61227] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 0.5 ## [61238] 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [61249] 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [61260] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [61271] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 1.0 1.0 ## [61282] 1.0 0.5 0.5 0.5 1.0 0.5 0.5 1.0 1.0 0.5 1.0 ## [61293] 0.5 0.5 1.0 0.5 2.0 2.0 1.0 2.0 2.0 3.0 2.0 ## [61304] 4.0 4.0 1.0 4.0 3.0 3.0 2.0 2.0 2.0 3.0 3.0 ## [61315] 3.0 1.0 2.0 3.0 3.0 3.0 4.0 2.0 2.0 3.0 2.0 ## [61326] 2.0 2.0 1.0 3.0 3.0 1.0 2.0 1.0 3.0 3.0 2.0 ## [61337] 2.0 6.0 1.0 3.0 4.0 2.0 2.0 2.0 2.0 4.0 3.0 ## [61348] 2.0 3.0 2.0 2.0 2.0 2.0 2.0 4.0 2.0 2.0 3.0 ## [61359] 4.0 2.0 2.0 2.0 3.0 2.0 5.0 2.0 1.0 1.0 2.0 ## [61370] 2.0 2.0 3.0 3.0 4.0 2.0 2.0 5.0 6.0 3.0 3.0 ## [61381] 3.0 2.0 4.0 2.0 2.0 4.0 6.0 2.0 1.0 2.0 2.0 ## [61392] 1.0 1.0 3.0 2.0 5.0 2.0 3.0 1.0 3.0 2.0 3.0 ## [61403] 3.0 3.0 3.0 1.0 1.0 2.0 4.0 3.0 2.0 2.0 2.0 ## [61414] 3.0 1.0 2.0 2.0 1.0 3.0 2.0 6.0 4.0 5.0 3.0 ## [61425] 1.0 1.0 3.0 2.0 1.0 1.0 2.0 4.0 2.0 3.0 2.0 ## [61436] 2.0 2.0 1.0 2.0 1.0 2.0 1.0 4.0 2.0 1.0 2.0 ## [61447] 4.0 2.0 9.0 10.5 10.5 10.0 10.5 10.0 6.0 8.0 10.0 ## [61458] 9.0 10.5 10.0 10.5 10.0 10.5 8.0 10.5 10.0 10.5 10.5 ## [61469] 10.5 10.0 10.0 10.0 10.0 10.0 10.5 10.5 13.0 12.0 14.0 ## [61480] 14.0 11.0 13.0 14.0 22.0 23.0 30.0 27.0 18.0 23.0 27.0 ## [61491] 29.0 35.0 34.0 29.0 27.0 17.0 18.0 21.0 23.0 24.0 27.0 ## [61502] 35.0 42.0 14.0 15.0 24.0 14.0 27.0 25.0 24.0 28.0 42.0 ## [61513] 30.0 43.0 22.0 26.0 40.0 13.0 27.0 31.0 41.0 41.0 46.0 ## [61524] 12.0 47.0 26.0 38.0 18.0 19.0 23.0 16.0 14.0 23.0 27.0 ## [61535] 13.0 18.0 14.0 21.0 18.0 19.0 24.0 25.0 15.0 22.0 23.0 ## [61546] 27.0 25.0 36.0 33.0 38.0 43.0 15.0 34.0 46.0 40.0 13.0 ## [61557] 15.0 17.0 19.0 22.0 14.0 20.0 23.0 33.0 36.0 34.0 16.0 ## [61568] 16.0 15.0 26.0 27.0 14.0 29.0 25.0 45.0 46.0 17.0 16.0 ## [61579] 12.0 15.0 18.0 16.0 21.0 16.0 23.0 25.0 35.0 32.0 47.0 ## [61590] 12.0 22.0 15.0 13.0 20.0 38.0 20.0 30.0 23.0 18.0 34.0 ## [61601] 26.0 22.0 20.0 19.0 15.0 19.0 25.0 38.0 20.0 12.0 12.0 ## [61612] 12.0 12.0 21.0 22.0 23.0 21.0 29.0 44.0 13.0 22.0 12.0 ## [61623] 15.0 13.0 18.0 21.0 31.0 25.0 29.0 36.0 47.0 22.0 19.0 ## [61634] 29.0 29.0 38.0 36.0 18.0 46.0 26.0 39.0 14.0 18.0 17.0 ## [61645] 30.0 37.0 22.0 16.0 27.0 32.0 35.0 22.0 23.0 18.0 47.0 ## [61656] 19.0 14.0 43.0 14.0 12.0 14.0 16.0 19.0 27.0 44.0 18.0 ## [61667] 15.0 30.0 37.0 31.0 33.0 23.0 41.0 23.0 43.0 13.0 13.0 ## [61678] 16.0 20.0 16.0 11.0 17.0 20.0 15.0 16.0 34.0 17.0 17.0 ## [61689] 25.0 13.0 13.0 30.0 14.0 22.0 12.0 13.0 17.0 27.0 14.0 ## [61700] 38.0 12.0 13.0 27.0 33.0 13.0 20.0 19.0 28.0 14.0 37.0 ## [61711] 41.0 39.0 12.0 18.0 14.0 16.0 23.0 43.0 16.0 14.0 16.0 ## [61722] 12.0 26.0 19.0 19.0 21.0 14.0 34.0 32.0 15.0 45.0 34.0 ## [61733] 22.0 32.0 22.0 39.0 24.0 21.0 43.0 17.0 17.0 23.0 18.0 ## [61744] 15.0 23.0 15.0 19.0 22.0 40.0 19.0 43.0 12.0 21.0 15.0 ## [61755] 29.0 15.0 22.0 19.0 22.0 24.0 46.0 41.0 21.0 12.0 13.0 ## [61766] 27.0 19.0 22.0 18.0 15.0 17.0 27.0 11.0 21.0 26.0 23.0 ## [61777] 45.0 12.0 17.0 12.0 12.0 12.0 14.0 13.0 13.0 15.0 12.0 ## [61788] 15.0 13.0 12.0 13.0 13.0 12.0 13.0 12.0 13.0 13.0 12.0 ## [61799] 12.0 12.0 12.0 13.0 12.0 12.0 14.0 14.0 14.0 12.0 11.0 ## [61810] 13.0 12.0 14.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 16.0 ## [61821] 13.0 11.0 13.0 13.0 14.0 12.0 12.0 16.0 12.0 12.0 13.0 ## [61832] 12.0 12.0 16.0 13.0 12.0 15.0 13.0 12.0 16.0 16.0 11.0 ## [61843] 14.0 13.0 18.0 13.0 16.0 12.0 17.0 14.0 16.0 13.0 15.0 ## [61854] 12.0 13.0 14.0 14.0 17.0 19.0 18.0 24.0 14.0 13.0 15.0 ## [61865] 22.0 20.0 19.0 19.0 22.0 21.0 16.0 18.0 17.0 32.0 12.0 ## [61876] 15.0 15.0 20.0 19.0 34.0 35.0 18.0 19.0 12.0 16.0 14.0 ## [61887] 14.0 21.0 21.0 27.0 14.0 41.0 13.0 20.0 40.0 12.0 12.0 ## [61898] 16.0 16.0 24.0 20.0 16.0 35.0 21.0 21.0 21.0 15.0 25.0 ## [61909] 24.0 26.0 34.0 15.0 15.0 13.0 21.0 15.0 18.0 25.0 16.0 ## [61920] 21.0 16.0 14.0 13.0 17.0 13.0 21.0 22.0 26.0 30.0 42.0 ## [61931] 17.0 20.0 21.0 23.0 26.0 32.0 14.0 12.0 11.0 20.0 16.0 ## [61942] 17.0 12.0 14.0 15.0 12.0 22.0 22.0 20.0 23.0 19.0 21.0 ## [61953] 24.0 25.0 28.0 30.0 14.0 21.0 17.0 18.0 16.0 18.0 15.0 ## [61964] 24.0 17.0 20.0 12.0 15.0 13.0 13.0 14.0 20.0 12.0 20.0 ## [61975] 20.0 19.0 16.0 19.0 25.0 17.0 24.0 21.0 19.0 27.0 27.0 ## [61986] 33.0 40.0 35.0 41.0 14.0 21.0 15.0 23.0 16.0 15.0 18.0 ## [61997] 34.0 29.0 27.0 32.0 43.0 13.0 15.0 12.0 11.0 19.0 21.0 ## [62008] 21.0 29.0 33.0 32.0 29.0 33.0 36.0 42.0 17.0 24.0 17.0 ## [62019] 24.0 12.0 14.0 14.0 15.0 16.0 18.0 16.0 17.0 19.0 24.0 ## [62030] 28.0 24.0 23.0 30.0 23.0 32.0 31.0 32.0 47.0 18.0 27.0 ## [62041] 21.0 19.0 32.0 33.0 38.0 20.0 25.0 38.0 18.0 20.0 43.0 ## [62052] 46.0 13.0 12.0 14.0 16.0 14.0 16.0 19.0 19.0 16.0 19.0 ## [62063] 32.0 23.0 20.0 24.0 23.0 31.0 28.0 14.0 17.0 14.0 12.0 ## [62074] 26.0 13.0 13.0 17.0 16.0 23.0 27.0 24.0 22.0 24.0 25.0 ## [62085] 22.0 22.0 28.0 30.0 40.0 37.0 15.0 19.0 16.0 28.0 35.0 ## [62096] 32.0 36.0 34.0 33.0 39.0 38.0 15.0 18.0 14.0 15.0 22.0 ## [62107] 26.0 33.0 23.0 17.0 24.0 36.0 32.0 38.0 14.0 17.0 12.0 ## [62118] 14.0 13.0 16.0 18.0 26.0 29.0 36.0 48.0 12.0 17.0 19.0 ## [62129] 26.0 23.0 28.0 29.0 37.0 20.0 36.0 48.0 15.0 18.0 17.0 ## [62140] 27.0 26.0 34.0 15.0 31.0 43.0 14.0 13.0 31.0 18.0 15.0 ## [62151] 18.0 20.0 22.0 35.0 29.0 43.0 42.0 14.0 18.0 31.0 13.0 ## [62162] 12.0 12.0 20.0 19.0 18.0 18.0 18.0 23.0 21.0 23.0 24.0 ## [62173] 25.0 21.0 28.0 42.0 27.0 46.0 43.0 13.0 17.0 16.0 16.0 ## [62184] 13.0 18.0 14.0 22.0 20.0 40.0 32.0 27.0 31.0 19.0 31.0 ## [62195] 31.0 41.0 39.0 32.0 45.0 30.0 36.0 37.0 36.0 15.0 12.0 ## [62206] 18.0 12.0 13.0 14.0 16.0 16.0 22.0 21.0 61.0 62.0 77.0 ## [62217] 52.0 63.0 58.0 52.0 50.0 61.0 58.0 57.0 83.0 82.0 54.0 ## [62228] 62.0 152.0 57.0 55.0 70.0 50.0 59.0 94.0 138.0 54.0 305.0 ## [62239] 64.0 59.0 84.0 59.0 99.0 62.0 49.0 53.0 52.0 142.0 58.0 ## [62250] 104.0 62.0 105.0 49.0 107.0 63.0 51.0 76.0 50.0 83.0 112.0 ## [62261] 49.0 94.0 56.0 50.0 77.0 63.0 55.0 65.0 68.0 196.0 58.0 ## [62272] 68.0 56.0 50.0 109.0 73.0 50.0 52.0 54.0 107.0 51.0 83.0 ## [62283] 64.0 70.0 55.0 62.0 72.0 54.0 51.0 63.0 51.0 50.0 54.0 ## [62294] 67.0 169.0 176.0 3.0 4.0 7.0 5.0 7.0 3.0 10.5 10.0 ## [62305] 5.0 5.0 6.0 7.0 7.0 4.0 7.0 5.0 4.0 5.0 5.0 ## [62316] 7.0 8.0 6.0 9.0 7.0 6.0 6.0 7.0 9.0 4.0 5.0 ## [62327] 6.0 6.0 5.0 5.0 6.0 5.0 6.0 9.0 5.0 10.5 5.0 ## [62338] 8.0 8.0 5.0 6.0 5.0 5.0 8.0 5.0 8.0 7.0 6.0 ## [62349] 5.0 4.0 5.0 5.0 10.5 6.0 10.0 8.0 5.0 9.0 5.0 ## [62360] 10.0 5.0 7.0 4.0 5.0 7.0 4.0 5.0 5.0 4.0 7.0 ## [62371] 7.0 4.0 7.0 1.0 4.0 7.0 4.0 2.0 2.0 10.5 10.5 ## [62382] 9.0 10.5 10.5 10.5 9.0 3.0 9.0 8.0 10.0 10.5 10.0 ## [62393] 6.0 10.5 10.0 10.5 8.0 0.5 9.0 8.0 6.0 0.5 9.0 ## [62404] 0.5 8.0 1.0 10.0 0.5 0.5 0.5 0.5 10.5 1.0 8.0 ## [62415] 0.5 0.5 0.5 3.0 4.0 2.0 3.0 2.0 3.0 3.0 4.0 ## [62426] 1.0 2.0 4.0 3.0 5.0 4.0 4.0 5.0 5.0 1.0 2.0 ## [62437] 1.0 3.0 2.0 3.0 2.0 4.0 3.0 4.0 5.0 6.0 6.0 ## [62448] 0.5 4.0 4.0 2.0 4.0 2.0 2.0 2.0 1.0 2.0 4.0 ## [62459] 0.5 4.0 4.0 4.0 5.0 4.0 3.0 2.0 3.0 4.0 2.0 ## [62470] 0.5 4.0 2.0 4.0 4.0 4.0 5.0 2.0 2.0 1.0 1.0 ## [62481] 0.5 1.0 3.0 4.0 2.0 3.0 5.0 4.0 5.0 4.0 2.0 ## [62492] 0.5 2.0 1.0 3.0 4.0 5.0 3.0 4.0 4.0 3.0 2.0 ## [62503] 0.5 1.0 3.0 4.0 1.0 3.0 2.0 3.0 4.0 6.0 5.0 ## [62514] 1.0 1.0 6.0 3.0 2.0 2.0 3.0 4.0 3.0 3.0 6.0 ## [62525] 0.5 2.0 2.0 2.0 1.0 2.0 2.0 2.0 2.0 3.0 3.0 ## [62536] 0.5 3.0 5.0 4.0 4.0 7.0 4.0 5.0 5.0 4.0 10.0 ## [62547] 0.5 5.0 2.0 3.0 3.0 5.0 3.0 2.0 4.0 4.0 1.0 ## [62558] 0.5 3.0 3.0 4.0 5.0 4.0 2.0 1.0 3.0 2.0 1.0 ## [62569] 0.5 3.0 3.0 6.0 4.0 2.0 1.0 2.0 4.0 3.0 3.0 ## [62580] 0.5 1.0 2.0 2.0 3.0 5.0 3.0 4.0 3.0 1.0 5.0 ## [62591] 0.5 2.0 3.0 2.0 2.0 2.0 2.0 1.0 4.0 5.0 2.0 ## [62602] 0.5 1.0 2.0 2.0 3.0 4.0 5.0 3.0 2.0 3.0 2.0 ## [62613] 1.0 2.0 5.0 2.0 1.0 2.0 2.0 2.0 1.0 6.0 4.0 ## [62624] 1.0 5.0 5.0 1.0 4.0 3.0 4.0 2.0 1.0 2.0 3.0 ## [62635] 1.0 4.0 3.0 3.0 5.0 2.0 1.0 2.0 1.0 3.0 4.0 ## [62646] 0.5 3.0 4.0 1.0 4.0 2.0 2.0 2.0 2.0 2.0 2.0 ## [62657] 0.5 3.0 3.0 2.0 3.0 2.0 3.0 4.0 3.0 1.0 2.0 ## [62668] 0.5 3.0 4.0 3.0 6.0 3.0 1.0 2.0 3.0 4.0 5.0 ## [62679] 1.0 3.0 3.0 3.0 2.0 2.0 3.0 2.0 4.0 4.0 2.0 ## [62690] 0.5 3.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 6.0 3.0 ## [62701] 0.5 4.0 3.0 5.0 3.0 3.0 5.0 2.0 2.0 3.0 3.0 ## [62712] 1.0 1.0 4.0 4.0 2.0 4.0 4.0 3.0 4.0 4.0 2.0 ## [62723] 1.0 3.0 1.0 2.0 4.0 3.0 2.0 3.0 4.0 4.0 2.0 ## [62734] 1.0 3.0 3.0 2.0 5.0 3.0 4.0 4.0 3.0 4.0 3.0 ## [62745] 0.5 2.0 2.0 3.0 5.0 4.0 5.0 2.0 2.0 3.0 4.0 ## [62756] 0.5 3.0 2.0 2.0 2.0 2.0 1.0 5.0 5.0 7.0 2.0 ## [62767] 0.5 2.0 1.0 6.0 2.0 3.0 4.0 2.0 2.0 3.0 3.0 ## [62778] 1.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0 3.0 5.0 3.0 ## [62789] 0.5 2.0 2.0 3.0 2.0 3.0 5.0 3.0 2.0 2.0 2.0 ## [62800] 0.5 2.0 2.0 3.0 4.0 5.0 2.0 3.0 4.0 0.5 1.0 ## [62811] 0.5 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 ## [62822] 0.5 2.0 1.0 2.0 2.0 1.0 1.0 0.5 1.0 1.0 2.0 ## [62833] 0.5 0.5 1.0 1.0 0.5 0.5 2.0 0.5 0.5 1.0 1.0 ## [62844] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 0.5 1.0 0.5 0.5 ## [62855] 0.5 1.0 1.0 2.0 0.5 0.5 0.5 0.5 2.0 0.5 0.5 ## [62866] 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [62877] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 2.0 1.0 1.0 ## [62888] 0.5 1.0 1.0 1.0 0.5 1.0 2.0 1.0 1.0 1.0 2.0 ## [62899] 0.5 1.0 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [62910] 0.5 1.0 1.0 1.0 2.0 1.0 0.5 1.0 0.5 0.5 1.0 ## [62921] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [62932] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [62943] 1.0 1.0 0.5 1.0 0.5 0.5 1.0 1.0 1.0 1.0 0.5 ## [62954] 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 1.0 0.5 0.5 ## [62965] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [62976] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 ## [62987] 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 ## [62998] 0.5 0.5 0.5 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 ## [63009] 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [63020] 0.5 4.0 9.0 6.0 10.5 9.0 6.0 5.0 5.0 8.0 7.0 ## [63031] 0.5 9.0 10.0 10.5 7.0 8.0 5.0 4.0 6.0 6.0 6.0 ## [63042] 0.5 8.0 6.0 10.5 8.0 9.0 9.0 10.0 4.0 0.5 5.0 ## [63053] 10.0 10.0 6.0 8.0 10.0 6.0 8.0 7.0 7.0 1.0 8.0 ## [63064] 7.0 7.0 9.0 7.0 7.0 7.0 6.0 7.0 0.5 6.0 7.0 ## [63075] 7.0 9.0 10.0 4.0 3.0 7.0 7.0 1.0 9.0 5.0 6.0 ## [63086] 5.0 7.0 6.0 4.0 7.0 1.0 9.0 10.0 9.0 10.5 5.0 ## [63097] 8.0 10.0 10.0 10.5 1.0 4.0 8.0 6.0 7.0 9.0 10.0 ## [63108] 8.0 10.5 3.0 6.0 0.5 5.0 5.0 7.0 10.5 7.0 8.0 ## [63119] 8.0 6.0 10.0 10.0 0.5 5.0 8.0 8.0 8.0 10.0 3.0 ## [63130] 10.0 6.0 5.0 0.5 6.0 7.0 8.0 7.0 8.0 7.0 7.0 ## [63141] 7.0 6.0 8.0 1.0 8.0 10.5 8.0 10.0 6.0 4.0 9.0 ## [63152] 8.0 10.5 1.0 9.0 7.0 8.0 5.0 6.0 0.5 4.0 6.0 ## [63163] 10.0 6.0 6.0 9.0 6.0 7.0 0.5 8.0 7.0 9.0 8.0 ## [63174] 9.0 10.5 10.0 9.0 10.0 0.5 8.0 5.0 7.0 7.0 8.0 ## [63185] 6.0 10.0 0.5 8.0 8.0 4.0 7.0 7.0 10.0 7.0 0.5 ## [63196] 8.0 5.0 6.0 8.0 9.0 5.0 5.0 7.0 1.0 7.0 6.0 ## [63207] 8.0 8.0 4.0 7.0 8.0 6.0 9.0 0.5 10.5 10.0 10.0 ## [63218] 7.0 10.0 10.5 8.0 0.5 10.0 7.0 8.0 8.0 5.0 10.0 ## [63229] 10.5 9.0 0.5 7.0 7.0 8.0 4.0 6.0 7.0 10.0 7.0 ## [63240] 1.0 10.0 10.0 5.0 6.0 9.0 7.0 10.0 10.0 1.0 5.0 ## [63251] 9.0 7.0 6.0 9.0 6.0 8.0 6.0 1.0 9.0 5.0 6.0 ## [63262] 6.0 5.0 9.0 10.0 9.0 4.0 0.5 10.0 7.0 6.0 7.0 ## [63273] 10.0 10.0 10.5 10.0 7.0 1.0 7.0 7.0 9.0 9.0 10.0 ## [63284] 9.0 10.5 6.0 10.0 1.0 7.0 7.0 9.0 6.0 10.5 5.0 ## [63295] 7.0 9.0 9.0 2.0 0.5 7.0 5.0 6.0 8.0 10.5 7.0 ## [63306] 10.5 1.0 5.0 6.0 6.0 10.0 5.0 8.0 6.0 7.0 0.5 ## [63317] 10.0 5.0 10.0 9.0 5.0 6.0 10.5 1.0 8.0 6.0 6.0 ## [63328] 8.0 8.0 8.0 5.0 7.0 7.0 0.5 9.0 5.0 8.0 7.0 ## [63339] 10.0 8.0 8.0 6.0 5.0 0.5 7.0 10.0 5.0 5.0 5.0 ## [63350] 8.0 4.0 0.5 5.0 6.0 6.0 6.0 8.0 9.0 7.0 10.5 ## [63361] 6.0 0.5 6.0 3.0 7.0 10.5 10.5 9.0 9.0 4.0 7.0 ## [63372] 6.0 0.5 8.0 5.0 10.0 7.0 5.0 7.0 10.0 0.5 8.0 ## [63383] 8.0 9.0 10.5 10.0 7.0 6.0 9.0 0.5 8.0 5.0 5.0 ## [63394] 8.0 8.0 7.0 6.0 6.0 8.0 1.0 8.0 5.0 7.0 2.0 ## [63405] 8.0 7.0 10.5 7.0 8.0 1.0 9.0 7.0 9.0 9.0 9.0 ## [63416] 6.0 9.0 7.0 4.0 4.0 1.0 9.0 9.0 10.0 10.0 5.0 ## [63427] 5.0 10.5 0.5 4.0 7.0 8.0 8.0 9.0 9.0 7.0 8.0 ## [63438] 7.0 7.0 0.5 7.0 9.0 7.0 10.0 5.0 7.0 8.0 10.0 ## [63449] 8.0 0.5 5.0 2.0 8.0 6.0 6.0 6.0 8.0 8.0 0.5 ## [63460] 8.0 7.0 9.0 6.0 5.0 4.0 10.0 3.0 6.0 0.5 6.0 ## [63471] 9.0 10.5 3.0 8.0 8.0 5.0 5.0 6.0 0.5 9.0 9.0 ## [63482] 6.0 9.0 7.0 6.0 10.0 6.0 8.0 9.0 1.0 5.0 7.0 ## [63493] 10.0 9.0 5.0 10.5 6.0 1.0 8.0 10.5 10.5 5.0 6.0 ## [63504] 5.0 7.0 8.0 8.0 1.0 7.0 6.0 4.0 7.0 9.0 7.0 ## [63515] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [63526] 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [63537] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [63548] 1.0 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 ## [63559] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 ## [63570] 0.5 1.0 1.0 1.0 0.5 1.0 0.5 1.0 0.5 0.5 1.0 ## [63581] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 ## [63592] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 ## [63603] 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [63614] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [63625] 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [63636] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [63647] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [63658] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [63669] 0.5 0.5 0.5 1.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 ## [63680] 0.5 0.5 1.0 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [63691] 1.0 0.5 2.0 2.0 1.0 2.0 2.0 3.0 2.0 4.0 4.0 ## [63702] 1.0 4.0 3.0 3.0 2.0 2.0 2.0 3.0 3.0 3.0 1.0 ## [63713] 2.0 3.0 3.0 3.0 4.0 2.0 2.0 3.0 2.0 2.0 2.0 ## [63724] 1.0 3.0 3.0 1.0 2.0 1.0 3.0 3.0 2.0 2.0 6.0 ## [63735] 1.0 3.0 4.0 2.0 2.0 2.0 2.0 4.0 3.0 2.0 3.0 ## [63746] 2.0 2.0 2.0 2.0 2.0 4.0 2.0 2.0 3.0 4.0 2.0 ## [63757] 2.0 2.0 3.0 2.0 5.0 2.0 1.0 1.0 2.0 2.0 2.0 ## [63768] 3.0 3.0 4.0 2.0 2.0 5.0 6.0 3.0 3.0 3.0 2.0 ## [63779] 4.0 2.0 2.0 4.0 6.0 2.0 1.0 2.0 2.0 1.0 1.0 ## [63790] 3.0 2.0 5.0 2.0 3.0 1.0 3.0 2.0 3.0 3.0 3.0 ## [63801] 3.0 1.0 1.0 2.0 4.0 3.0 2.0 2.0 2.0 3.0 1.0 ## [63812] 2.0 2.0 1.0 3.0 2.0 6.0 4.0 5.0 3.0 1.0 1.0 ## [63823] 3.0 2.0 1.0 1.0 2.0 4.0 2.0 3.0 2.0 2.0 2.0 ## [63834] 1.0 2.0 1.0 2.0 1.0 4.0 2.0 1.0 2.0 4.0 2.0 ## [63845] 9.0 10.5 10.5 10.0 10.5 10.0 6.0 8.0 10.0 9.0 10.5 ## [63856] 10.0 10.5 10.0 10.5 8.0 10.5 10.0 10.5 10.5 10.5 10.0 ## [63867] 10.0 10.0 10.0 10.0 10.5 10.5 13.0 12.0 14.0 14.0 11.0 ## [63878] 13.0 14.0 22.0 23.0 30.0 27.0 18.0 23.0 27.0 29.0 35.0 ## [63889] 34.0 29.0 27.0 17.0 18.0 21.0 23.0 24.0 27.0 35.0 42.0 ## [63900] 14.0 15.0 24.0 14.0 27.0 25.0 24.0 28.0 42.0 30.0 43.0 ## [63911] 22.0 26.0 40.0 13.0 27.0 31.0 41.0 41.0 46.0 12.0 47.0 ## [63922] 26.0 38.0 18.0 19.0 23.0 16.0 14.0 23.0 27.0 13.0 18.0 ## [63933] 14.0 21.0 18.0 19.0 24.0 25.0 15.0 22.0 23.0 27.0 25.0 ## [63944] 36.0 33.0 38.0 43.0 15.0 34.0 46.0 40.0 13.0 15.0 17.0 ## [63955] 19.0 22.0 14.0 20.0 23.0 33.0 36.0 34.0 16.0 16.0 15.0 ## [63966] 26.0 27.0 14.0 29.0 25.0 45.0 46.0 17.0 16.0 12.0 15.0 ## [63977] 18.0 16.0 21.0 16.0 23.0 25.0 35.0 32.0 47.0 12.0 22.0 ## [63988] 15.0 13.0 20.0 38.0 20.0 30.0 23.0 18.0 34.0 26.0 22.0 ## [63999] 20.0 19.0 15.0 19.0 25.0 38.0 20.0 12.0 12.0 12.0 12.0 ## [64010] 21.0 22.0 23.0 21.0 29.0 44.0 13.0 22.0 12.0 15.0 13.0 ## [64021] 18.0 21.0 31.0 25.0 29.0 36.0 47.0 22.0 19.0 29.0 29.0 ## [64032] 38.0 36.0 18.0 46.0 26.0 39.0 14.0 18.0 17.0 30.0 37.0 ## [64043] 22.0 16.0 27.0 32.0 35.0 22.0 23.0 18.0 47.0 19.0 14.0 ## [64054] 43.0 14.0 12.0 14.0 16.0 19.0 27.0 44.0 18.0 15.0 30.0 ## [64065] 37.0 31.0 33.0 23.0 41.0 23.0 43.0 13.0 13.0 16.0 20.0 ## [64076] 16.0 11.0 17.0 20.0 15.0 16.0 34.0 17.0 17.0 25.0 13.0 ## [64087] 13.0 30.0 14.0 22.0 12.0 13.0 17.0 27.0 14.0 38.0 12.0 ## [64098] 13.0 27.0 33.0 13.0 20.0 19.0 28.0 14.0 37.0 41.0 39.0 ## [64109] 12.0 18.0 14.0 16.0 23.0 43.0 16.0 14.0 16.0 12.0 26.0 ## [64120] 19.0 19.0 21.0 14.0 34.0 32.0 15.0 45.0 34.0 22.0 32.0 ## [64131] 22.0 39.0 24.0 21.0 43.0 17.0 17.0 23.0 18.0 15.0 23.0 ## [64142] 15.0 19.0 22.0 40.0 19.0 43.0 12.0 21.0 15.0 29.0 15.0 ## [64153] 22.0 19.0 22.0 24.0 46.0 41.0 21.0 12.0 13.0 27.0 19.0 ## [64164] 22.0 18.0 15.0 17.0 27.0 11.0 21.0 26.0 23.0 45.0 12.0 ## [64175] 17.0 12.0 12.0 12.0 14.0 13.0 13.0 15.0 12.0 15.0 13.0 ## [64186] 12.0 13.0 13.0 12.0 13.0 12.0 13.0 13.0 12.0 12.0 12.0 ## [64197] 12.0 13.0 12.0 12.0 14.0 14.0 14.0 12.0 11.0 13.0 12.0 ## [64208] 14.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 16.0 13.0 11.0 ## [64219] 13.0 13.0 14.0 12.0 12.0 16.0 12.0 12.0 13.0 12.0 12.0 ## [64230] 16.0 13.0 12.0 15.0 13.0 12.0 16.0 16.0 11.0 14.0 13.0 ## [64241] 18.0 13.0 16.0 12.0 17.0 14.0 16.0 13.0 15.0 12.0 13.0 ## [64252] 14.0 14.0 17.0 19.0 18.0 24.0 14.0 13.0 15.0 22.0 20.0 ## [64263] 19.0 19.0 22.0 21.0 16.0 18.0 17.0 32.0 12.0 15.0 15.0 ## [64274] 20.0 19.0 34.0 35.0 18.0 19.0 12.0 16.0 14.0 14.0 21.0 ## [64285] 21.0 27.0 14.0 41.0 13.0 20.0 40.0 12.0 12.0 16.0 16.0 ## [64296] 24.0 20.0 16.0 35.0 21.0 21.0 21.0 15.0 25.0 24.0 26.0 ## [64307] 34.0 15.0 15.0 13.0 21.0 15.0 18.0 25.0 16.0 21.0 16.0 ## [64318] 14.0 13.0 17.0 13.0 21.0 22.0 26.0 30.0 42.0 17.0 20.0 ## [64329] 21.0 23.0 26.0 32.0 14.0 12.0 11.0 20.0 16.0 17.0 12.0 ## [64340] 14.0 15.0 12.0 22.0 22.0 20.0 23.0 19.0 21.0 24.0 25.0 ## [64351] 28.0 30.0 14.0 21.0 17.0 18.0 16.0 18.0 15.0 24.0 17.0 ## [64362] 20.0 12.0 15.0 13.0 13.0 14.0 20.0 12.0 20.0 20.0 19.0 ## [64373] 16.0 19.0 25.0 17.0 24.0 21.0 19.0 27.0 27.0 33.0 40.0 ## [64384] 35.0 41.0 14.0 21.0 15.0 23.0 16.0 15.0 18.0 34.0 29.0 ## [64395] 27.0 32.0 43.0 13.0 15.0 12.0 11.0 19.0 21.0 21.0 29.0 ## [64406] 33.0 32.0 29.0 33.0 36.0 42.0 17.0 24.0 17.0 24.0 12.0 ## [64417] 14.0 14.0 15.0 16.0 18.0 16.0 17.0 19.0 24.0 28.0 24.0 ## [64428] 23.0 30.0 23.0 32.0 31.0 32.0 47.0 18.0 27.0 21.0 19.0 ## [64439] 32.0 33.0 38.0 20.0 25.0 38.0 18.0 20.0 43.0 46.0 13.0 ## [64450] 12.0 14.0 16.0 14.0 16.0 19.0 19.0 16.0 19.0 32.0 23.0 ## [64461] 20.0 24.0 23.0 31.0 28.0 14.0 17.0 14.0 12.0 26.0 13.0 ## [64472] 13.0 17.0 16.0 23.0 27.0 24.0 22.0 24.0 25.0 22.0 22.0 ## [64483] 28.0 30.0 40.0 37.0 15.0 19.0 16.0 28.0 35.0 32.0 36.0 ## [64494] 34.0 33.0 39.0 38.0 15.0 18.0 14.0 15.0 22.0 26.0 33.0 ## [64505] 23.0 17.0 24.0 36.0 32.0 38.0 14.0 17.0 12.0 14.0 13.0 ## [64516] 16.0 18.0 26.0 29.0 36.0 48.0 12.0 17.0 19.0 26.0 23.0 ## [64527] 28.0 29.0 37.0 20.0 36.0 48.0 15.0 18.0 17.0 27.0 26.0 ## [64538] 34.0 15.0 31.0 43.0 14.0 13.0 31.0 18.0 15.0 18.0 20.0 ## [64549] 22.0 35.0 29.0 43.0 42.0 14.0 18.0 31.0 13.0 12.0 12.0 ## [64560] 20.0 19.0 18.0 18.0 18.0 23.0 21.0 23.0 24.0 25.0 21.0 ## [64571] 28.0 42.0 27.0 46.0 43.0 13.0 17.0 16.0 16.0 13.0 18.0 ## [64582] 14.0 22.0 20.0 40.0 32.0 27.0 31.0 19.0 31.0 31.0 41.0 ## [64593] 39.0 32.0 45.0 30.0 36.0 37.0 36.0 15.0 12.0 18.0 12.0 ## [64604] 13.0 14.0 16.0 16.0 22.0 21.0 61.0 62.0 77.0 52.0 63.0 ## [64615] 58.0 52.0 50.0 61.0 58.0 57.0 83.0 82.0 54.0 62.0 152.0 ## [64626] 57.0 55.0 70.0 50.0 59.0 94.0 138.0 54.0 305.0 64.0 59.0 ## [64637] 84.0 59.0 99.0 62.0 49.0 53.0 52.0 142.0 58.0 104.0 62.0 ## [64648] 105.0 49.0 107.0 63.0 51.0 76.0 50.0 83.0 112.0 49.0 94.0 ## [64659] 56.0 50.0 77.0 63.0 55.0 65.0 68.0 196.0 58.0 68.0 56.0 ## [64670] 50.0 109.0 73.0 50.0 52.0 54.0 107.0 51.0 83.0 64.0 70.0 ## [64681] 55.0 62.0 72.0 54.0 51.0 63.0 51.0 50.0 54.0 67.0 169.0 ## [64692] 176.0 3.0 4.0 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 ## [64703] 6.0 7.0 7.0 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 ## [64714] 6.0 9.0 7.0 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 ## [64725] 5.0 5.0 6.0 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 ## [64736] 5.0 6.0 5.0 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 ## [64747] 5.0 5.0 10.5 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 ## [64758] 7.0 4.0 5.0 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 ## [64769] 7.0 1.0 4.0 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 ## [64780] 10.5 10.5 9.0 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 ## [64791] 10.0 10.5 8.0 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 ## [64802] 1.0 10.0 0.5 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 ## [64813] 0.5 3.0 4.0 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 ## [64824] 4.0 3.0 5.0 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 ## [64835] 2.0 3.0 2.0 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 ## [64846] 4.0 2.0 4.0 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 ## [64857] 4.0 4.0 5.0 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 ## [64868] 2.0 4.0 4.0 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 ## [64879] 3.0 4.0 2.0 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 ## [64890] 1.0 3.0 4.0 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 ## [64901] 3.0 4.0 1.0 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 ## [64912] 6.0 3.0 2.0 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 ## [64923] 2.0 2.0 1.0 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 ## [64934] 5.0 4.0 4.0 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 ## [64945] 2.0 3.0 3.0 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 ## [64956] 3.0 4.0 5.0 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 ## [64967] 3.0 6.0 4.0 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 ## [64978] 2.0 2.0 3.0 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 ## [64989] 3.0 2.0 2.0 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 ## [65000] 2.0 2.0 3.0 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 ## [65011] 5.0 2.0 1.0 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 ## [65022] 5.0 1.0 4.0 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 ## [65033] 3.0 3.0 5.0 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 ## [65044] 4.0 1.0 4.0 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 ## [65055] 3.0 2.0 3.0 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 ## [65066] 4.0 3.0 6.0 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 ## [65077] 3.0 3.0 2.0 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 ## [65088] 2.0 4.0 3.0 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 ## [65099] 3.0 5.0 3.0 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 ## [65110] 4.0 4.0 2.0 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 ## [65121] 1.0 2.0 4.0 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 ## [65132] 3.0 2.0 5.0 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 ## [65143] 2.0 3.0 5.0 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 ## [65154] 2.0 2.0 2.0 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 ## [65165] 1.0 6.0 2.0 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 ## [65176] 2.0 2.0 3.0 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 ## [65187] 2.0 3.0 2.0 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 ## [65198] 2.0 3.0 4.0 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 ## [65209] 1.0 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 ## [65220] 1.0 2.0 2.0 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 ## [65231] 1.0 1.0 0.5 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 ## [65242] 0.5 1.0 1.0 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 ## [65253] 1.0 2.0 0.5 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 ## [65264] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 ## [65275] 1.0 0.5 1.0 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 ## [65286] 1.0 1.0 0.5 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 ## [65297] 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 ## [65308] 1.0 1.0 2.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 ## [65319] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [65330] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [65341] 0.5 1.0 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 ## [65352] 0.5 0.5 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 ## [65363] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 ## [65374] 1.0 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 ## [65385] 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 ## [65396] 0.5 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 ## [65407] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 ## [65418] 9.0 6.0 10.5 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 ## [65429] 10.0 10.5 7.0 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 ## [65440] 6.0 10.5 8.0 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 ## [65451] 6.0 8.0 10.0 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 ## [65462] 9.0 7.0 7.0 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 ## [65473] 10.0 4.0 3.0 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 ## [65484] 6.0 4.0 7.0 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 ## [65495] 10.0 10.5 1.0 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 ## [65506] 3.0 6.0 0.5 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 ## [65517] 10.0 10.0 0.5 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 ## [65528] 5.0 0.5 6.0 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 ## [65539] 8.0 1.0 8.0 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 ## [65550] 1.0 9.0 7.0 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 ## [65561] 6.0 9.0 6.0 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 ## [65572] 10.0 9.0 10.0 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 ## [65583] 0.5 8.0 8.0 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 ## [65594] 6.0 8.0 9.0 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 ## [65605] 4.0 7.0 8.0 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 ## [65616] 10.5 8.0 0.5 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 ## [65627] 0.5 7.0 7.0 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 ## [65638] 10.0 5.0 6.0 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 ## [65649] 6.0 9.0 6.0 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 ## [65660] 9.0 10.0 9.0 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 ## [65671] 10.5 10.0 7.0 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 ## [65682] 6.0 10.0 1.0 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 ## [65693] 9.0 2.0 0.5 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 ## [65704] 5.0 6.0 6.0 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 ## [65715] 10.0 9.0 5.0 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 ## [65726] 8.0 5.0 7.0 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 ## [65737] 8.0 6.0 5.0 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 ## [65748] 0.5 5.0 6.0 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 ## [65759] 6.0 3.0 7.0 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 ## [65770] 8.0 5.0 10.0 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 ## [65781] 10.5 10.0 7.0 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 ## [65792] 7.0 6.0 6.0 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 ## [65803] 10.5 7.0 8.0 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 ## [65814] 7.0 4.0 4.0 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 ## [65825] 0.5 4.0 7.0 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 ## [65836] 0.5 7.0 9.0 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 ## [65847] 5.0 2.0 8.0 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 ## [65858] 9.0 6.0 5.0 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 ## [65869] 3.0 8.0 8.0 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 ## [65880] 7.0 6.0 10.0 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 ## [65891] 5.0 10.5 6.0 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 ## [65902] 8.0 8.0 1.0 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 ## [65913] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [65924] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [65935] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 ## [65946] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [65957] 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [65968] 1.0 1.0 0.5 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 ## [65979] 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 ## [65990] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 ## [66001] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [66012] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [66023] 1.0 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [66034] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 ## [66045] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [66056] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [66067] 0.5 1.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 ## [66078] 1.0 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 ## [66089] 2.0 2.0 1.0 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 ## [66100] 3.0 3.0 2.0 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 ## [66111] 3.0 3.0 4.0 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 ## [66122] 3.0 1.0 2.0 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 ## [66133] 4.0 2.0 2.0 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 ## [66144] 2.0 2.0 2.0 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 ## [66155] 3.0 2.0 5.0 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 ## [66166] 4.0 2.0 2.0 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 ## [66177] 2.0 4.0 6.0 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 ## [66188] 5.0 2.0 3.0 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 ## [66199] 1.0 2.0 4.0 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 ## [66210] 1.0 3.0 2.0 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 ## [66221] 1.0 1.0 2.0 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 ## [66232] 1.0 2.0 1.0 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 ## [66243] 10.5 10.0 10.5 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 ## [66254] 10.0 10.5 8.0 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 ## [66265] 10.0 10.0 10.5 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 ## [66276] 22.0 23.0 30.0 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 ## [66287] 27.0 17.0 18.0 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 ## [66298] 24.0 14.0 27.0 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 ## [66309] 40.0 13.0 27.0 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 ## [66320] 18.0 19.0 23.0 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 ## [66331] 18.0 19.0 24.0 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 ## [66342] 38.0 43.0 15.0 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 ## [66353] 14.0 20.0 23.0 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 ## [66364] 14.0 29.0 25.0 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 ## [66375] 21.0 16.0 23.0 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 ## [66386] 20.0 38.0 20.0 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 ## [66397] 15.0 19.0 25.0 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 ## [66408] 23.0 21.0 29.0 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 ## [66419] 31.0 25.0 29.0 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 ## [66430] 18.0 46.0 26.0 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 ## [66441] 27.0 32.0 35.0 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 ## [66452] 12.0 14.0 16.0 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 ## [66463] 33.0 23.0 41.0 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 ## [66474] 17.0 20.0 15.0 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 ## [66485] 14.0 22.0 12.0 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 ## [66496] 33.0 13.0 20.0 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 ## [66507] 14.0 16.0 23.0 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 ## [66518] 21.0 14.0 34.0 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 ## [66529] 24.0 21.0 43.0 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 ## [66540] 22.0 40.0 19.0 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 ## [66551] 22.0 24.0 46.0 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 ## [66562] 15.0 17.0 27.0 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 ## [66573] 12.0 12.0 14.0 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 ## [66584] 13.0 12.0 13.0 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 ## [66595] 12.0 12.0 14.0 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 ## [66606] 12.0 12.0 12.0 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 ## [66617] 14.0 12.0 12.0 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 ## [66628] 12.0 15.0 13.0 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 ## [66639] 16.0 12.0 17.0 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 ## [66650] 17.0 19.0 18.0 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 ## [66661] 22.0 21.0 16.0 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 ## [66672] 34.0 35.0 18.0 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 ## [66683] 14.0 41.0 13.0 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 ## [66694] 16.0 35.0 21.0 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 ## [66705] 15.0 13.0 21.0 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 ## [66716] 17.0 13.0 21.0 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 ## [66727] 26.0 32.0 14.0 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 ## [66738] 12.0 22.0 22.0 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 ## [66749] 14.0 21.0 17.0 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 ## [66760] 15.0 13.0 13.0 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 ## [66771] 25.0 17.0 24.0 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 ## [66782] 14.0 21.0 15.0 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 ## [66793] 43.0 13.0 15.0 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 ## [66804] 29.0 33.0 36.0 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 ## [66815] 15.0 16.0 18.0 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 ## [66826] 23.0 32.0 31.0 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 ## [66837] 38.0 20.0 25.0 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 ## [66848] 16.0 14.0 16.0 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 ## [66859] 23.0 31.0 28.0 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 ## [66870] 16.0 23.0 27.0 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 ## [66881] 40.0 37.0 15.0 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 ## [66892] 39.0 38.0 15.0 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 ## [66903] 24.0 36.0 32.0 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 ## [66914] 26.0 29.0 36.0 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 ## [66925] 37.0 20.0 36.0 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 ## [66936] 31.0 43.0 14.0 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 ## [66947] 29.0 43.0 42.0 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 ## [66958] 18.0 18.0 18.0 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 ## [66969] 27.0 46.0 43.0 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 ## [66980] 20.0 40.0 32.0 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 ## [66991] 45.0 30.0 36.0 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 ## [67002] 16.0 16.0 22.0 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 ## [67013] 50.0 61.0 58.0 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 ## [67024] 70.0 50.0 59.0 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 ## [67035] 99.0 62.0 49.0 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 ## [67046] 107.0 63.0 51.0 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 ## [67057] 77.0 63.0 55.0 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 ## [67068] 73.0 50.0 52.0 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 ## [67079] 72.0 54.0 51.0 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 ## [67090] 4.0 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 ## [67101] 7.0 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 ## [67112] 7.0 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 ## [67123] 6.0 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 ## [67134] 5.0 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 ## [67145] 10.5 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 ## [67156] 5.0 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 ## [67167] 4.0 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 ## [67178] 9.0 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 ## [67189] 8.0 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 ## [67200] 0.5 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 ## [67211] 4.0 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 ## [67222] 5.0 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 ## [67233] 2.0 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 ## [67244] 4.0 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 ## [67255] 5.0 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 ## [67266] 4.0 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 ## [67277] 2.0 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 ## [67288] 4.0 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 ## [67299] 1.0 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 ## [67310] 2.0 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 ## [67321] 1.0 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 ## [67332] 4.0 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 ## [67343] 3.0 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 ## [67354] 5.0 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 ## [67365] 4.0 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 ## [67376] 3.0 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 ## [67387] 2.0 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 ## [67398] 3.0 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 ## [67409] 1.0 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 ## [67420] 4.0 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 ## [67431] 5.0 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 ## [67442] 4.0 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 ## [67453] 3.0 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 ## [67464] 6.0 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 ## [67475] 2.0 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 ## [67486] 3.0 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 ## [67497] 3.0 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 ## [67508] 2.0 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 ## [67519] 4.0 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 ## [67530] 5.0 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 ## [67541] 5.0 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 ## [67552] 2.0 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 ## [67563] 2.0 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 ## [67574] 3.0 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 ## [67585] 2.0 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 ## [67596] 4.0 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 ## [67607] 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 ## [67618] 2.0 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 ## [67629] 0.5 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [67640] 1.0 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 ## [67651] 0.5 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 ## [67662] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [67673] 1.0 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 ## [67684] 0.5 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 ## [67695] 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 ## [67706] 2.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 ## [67717] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [67728] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 ## [67739] 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [67750] 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [67761] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [67772] 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 ## [67783] 1.0 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 ## [67794] 1.0 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 ## [67805] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 ## [67816] 10.5 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 ## [67827] 7.0 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 ## [67838] 8.0 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 ## [67849] 10.0 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 ## [67860] 7.0 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 ## [67871] 3.0 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 ## [67882] 7.0 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 ## [67893] 1.0 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 ## [67904] 0.5 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 ## [67915] 0.5 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 ## [67926] 6.0 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 ## [67937] 8.0 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 ## [67948] 7.0 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 ## [67959] 6.0 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 ## [67970] 10.0 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 ## [67981] 8.0 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 ## [67992] 9.0 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 ## [68003] 8.0 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 ## [68014] 0.5 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 ## [68025] 7.0 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 ## [68036] 6.0 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 ## [68047] 6.0 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 ## [68058] 9.0 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 ## [68069] 7.0 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 ## [68080] 1.0 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 ## [68091] 0.5 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 ## [68102] 6.0 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 ## [68113] 5.0 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 ## [68124] 7.0 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 ## [68135] 5.0 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 ## [68146] 6.0 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 ## [68157] 7.0 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 ## [68168] 10.0 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 ## [68179] 7.0 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 ## [68190] 6.0 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 ## [68201] 8.0 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 ## [68212] 4.0 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 ## [68223] 7.0 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 ## [68234] 9.0 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 ## [68245] 8.0 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 ## [68256] 5.0 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 ## [68267] 8.0 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 ## [68278] 10.0 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 ## [68289] 6.0 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 ## [68300] 1.0 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 ## [68311] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [68322] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [68333] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 ## [68344] 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [68355] 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [68366] 0.5 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 ## [68377] 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [68388] 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 ## [68399] 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [68410] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [68421] 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 ## [68432] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 ## [68443] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [68454] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [68465] 0.5 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 ## [68476] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 ## [68487] 1.0 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 ## [68498] 2.0 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 ## [68509] 4.0 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 ## [68520] 2.0 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 2.0 ## [68531] 2.0 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 2.0 ## [68542] 2.0 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 2.0 ## [68553] 5.0 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 2.0 ## [68564] 2.0 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 4.0 ## [68575] 6.0 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 2.0 ## [68586] 3.0 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 ## [68597] 4.0 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 3.0 ## [68608] 2.0 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 1.0 ## [68619] 2.0 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 2.0 ## [68630] 1.0 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 10.0 ## [68641] 10.5 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 10.5 ## [68652] 8.0 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 10.0 ## [68663] 10.5 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 23.0 ## [68674] 30.0 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 17.0 ## [68685] 18.0 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 14.0 ## [68696] 27.0 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 13.0 ## [68707] 27.0 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 19.0 ## [68718] 23.0 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 19.0 ## [68729] 24.0 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 43.0 ## [68740] 15.0 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 20.0 ## [68751] 23.0 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 29.0 ## [68762] 25.0 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 16.0 ## [68773] 23.0 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 38.0 ## [68784] 20.0 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 19.0 ## [68795] 25.0 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 21.0 ## [68806] 29.0 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 25.0 ## [68817] 29.0 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 46.0 ## [68828] 26.0 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 32.0 ## [68839] 35.0 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 14.0 ## [68850] 16.0 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 23.0 ## [68861] 41.0 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 20.0 ## [68872] 15.0 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 22.0 ## [68883] 12.0 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 13.0 ## [68894] 20.0 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 16.0 ## [68905] 23.0 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 14.0 ## [68916] 34.0 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 21.0 ## [68927] 43.0 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 40.0 ## [68938] 19.0 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 24.0 ## [68949] 46.0 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 17.0 ## [68960] 27.0 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 12.0 ## [68971] 14.0 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 12.0 ## [68982] 13.0 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 12.0 ## [68993] 14.0 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 12.0 ## [69004] 12.0 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 12.0 ## [69015] 12.0 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 15.0 ## [69026] 13.0 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 12.0 ## [69037] 17.0 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 19.0 ## [69048] 18.0 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 21.0 ## [69059] 16.0 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 35.0 ## [69070] 18.0 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 41.0 ## [69081] 13.0 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 35.0 ## [69092] 21.0 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 13.0 ## [69103] 21.0 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 13.0 ## [69114] 21.0 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 32.0 ## [69125] 14.0 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 22.0 ## [69136] 22.0 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 21.0 ## [69147] 17.0 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 13.0 ## [69158] 13.0 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 17.0 ## [69169] 24.0 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 21.0 ## [69180] 15.0 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 13.0 ## [69191] 15.0 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 33.0 ## [69202] 36.0 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 16.0 ## [69213] 18.0 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 32.0 ## [69224] 31.0 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 20.0 ## [69235] 25.0 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 14.0 ## [69246] 16.0 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 31.0 ## [69257] 28.0 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 23.0 ## [69268] 27.0 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 37.0 ## [69279] 15.0 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 38.0 ## [69290] 15.0 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 36.0 ## [69301] 32.0 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 29.0 ## [69312] 36.0 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 20.0 ## [69323] 36.0 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 43.0 ## [69334] 14.0 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 43.0 ## [69345] 42.0 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 18.0 ## [69356] 18.0 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 46.0 ## [69367] 43.0 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 40.0 ## [69378] 32.0 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 30.0 ## [69389] 36.0 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 16.0 ## [69400] 22.0 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 61.0 ## [69411] 58.0 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 50.0 ## [69422] 59.0 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 62.0 ## [69433] 49.0 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 63.0 ## [69444] 51.0 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 63.0 ## [69455] 55.0 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 50.0 ## [69466] 52.0 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 54.0 ## [69477] 51.0 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 7.0 ## [69488] 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 4.0 ## [69499] 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 6.0 ## [69510] 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 5.0 ## [69521] 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 5.0 ## [69532] 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 6.0 ## [69543] 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 7.0 ## [69554] 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 7.0 ## [69565] 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 3.0 ## [69576] 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 0.5 ## [69587] 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 0.5 ## [69598] 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 2.0 ## [69609] 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 4.0 ## [69620] 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 4.0 ## [69631] 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 2.0 ## [69642] 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 4.0 ## [69653] 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 4.0 ## [69664] 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 3.0 ## [69675] 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 5.0 ## [69686] 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 3.0 ## [69697] 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 2.0 ## [69708] 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 2.0 ## [69719] 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 7.0 ## [69730] 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 5.0 ## [69741] 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 4.0 ## [69752] 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 2.0 ## [69763] 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 5.0 ## [69774] 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 2.0 ## [69785] 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 4.0 ## [69796] 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 2.0 ## [69807] 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 3.0 ## [69818] 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 2.0 ## [69829] 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 2.0 ## [69840] 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 2.0 ## [69851] 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 3.0 ## [69862] 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 2.0 ## [69873] 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 2.0 ## [69884] 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 3.0 ## [69895] 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 4.0 ## [69906] 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 3.0 ## [69917] 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 3.0 ## [69928] 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 4.0 ## [69939] 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 2.0 ## [69950] 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 3.0 ## [69961] 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 3.0 ## [69972] 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 3.0 ## [69983] 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 5.0 ## [69994] 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 1.0 ## [70005] 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 1.0 ## [70016] 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 0.5 ## [70027] 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [70038] 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 0.5 ## [70049] 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 ## [70060] 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 ## [70071] 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 1.0 ## [70082] 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 1.0 ## [70093] 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 1.0 ## [70104] 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [70115] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [70126] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [70137] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [70148] 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [70159] 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [70170] 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 ## [70181] 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 ## [70192] 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 1.0 ## [70203] 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 9.0 ## [70214] 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 8.0 ## [70225] 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 9.0 ## [70236] 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 6.0 ## [70247] 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 7.0 ## [70258] 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 7.0 ## [70269] 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 1.0 ## [70280] 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 4.0 ## [70291] 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 5.0 ## [70302] 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 5.0 ## [70313] 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 7.0 ## [70324] 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 10.5 ## [70335] 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 8.0 ## [70346] 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 7.0 ## [70357] 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 0.5 ## [70368] 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 4.0 ## [70379] 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 5.0 ## [70390] 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 6.0 ## [70401] 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 10.0 ## [70412] 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 8.0 ## [70423] 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 9.0 ## [70434] 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 8.0 ## [70445] 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 4.0 ## [70456] 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 1.0 ## [70467] 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 7.0 ## [70478] 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 7.0 ## [70489] 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 10.0 ## [70500] 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 6.0 ## [70511] 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 7.0 ## [70522] 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 0.5 ## [70533] 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 6.0 ## [70544] 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 10.5 ## [70555] 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 7.0 ## [70566] 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 6.0 ## [70577] 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 8.0 ## [70588] 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 1.0 ## [70599] 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 1.0 ## [70610] 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 8.0 ## [70621] 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 7.0 ## [70632] 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 6.0 ## [70643] 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 4.0 ## [70654] 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 5.0 ## [70665] 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 6.0 ## [70676] 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 1.0 ## [70687] 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 7.0 ## [70698] 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [70709] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.5 ## [70720] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [70731] 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [70742] 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [70753] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 ## [70764] 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [70775] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [70786] 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [70797] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [70808] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 ## [70819] 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [70830] 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [70841] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [70852] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [70863] 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 1.0 ## [70874] 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 2.0 ## [70885] 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 2.0 ## [70896] 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 2.0 ## [70907] 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 1.0 ## [70918] 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 2.0 2.0 2.0 ## [70929] 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 2.0 2.0 4.0 ## [70940] 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 2.0 5.0 2.0 ## [70951] 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 2.0 2.0 5.0 ## [70962] 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 4.0 6.0 2.0 ## [70973] 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 2.0 3.0 1.0 ## [70984] 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 4.0 3.0 ## [70995] 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 3.0 2.0 6.0 ## [71006] 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 1.0 2.0 4.0 ## [71017] 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 2.0 1.0 4.0 ## [71028] 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 10.0 10.5 10.0 ## [71039] 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 10.5 8.0 10.5 ## [71050] 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 10.0 10.5 10.5 ## [71061] 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 23.0 30.0 27.0 ## [71072] 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 17.0 18.0 21.0 ## [71083] 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 14.0 27.0 25.0 ## [71094] 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 13.0 27.0 31.0 ## [71105] 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 19.0 23.0 16.0 ## [71116] 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 19.0 24.0 25.0 ## [71127] 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 43.0 15.0 34.0 ## [71138] 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 20.0 23.0 33.0 ## [71149] 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 29.0 25.0 45.0 ## [71160] 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 16.0 23.0 25.0 ## [71171] 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 38.0 20.0 30.0 ## [71182] 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 19.0 25.0 38.0 ## [71193] 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 21.0 29.0 44.0 ## [71204] 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 25.0 29.0 36.0 ## [71215] 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 46.0 26.0 39.0 ## [71226] 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 32.0 35.0 22.0 ## [71237] 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 14.0 16.0 19.0 ## [71248] 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 23.0 41.0 23.0 ## [71259] 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 20.0 15.0 16.0 ## [71270] 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 22.0 12.0 13.0 ## [71281] 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 13.0 20.0 19.0 ## [71292] 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 16.0 23.0 43.0 ## [71303] 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 14.0 34.0 32.0 ## [71314] 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 21.0 43.0 17.0 ## [71325] 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 40.0 19.0 43.0 ## [71336] 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 24.0 46.0 41.0 ## [71347] 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 17.0 27.0 11.0 ## [71358] 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 12.0 14.0 13.0 ## [71369] 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 12.0 13.0 12.0 ## [71380] 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 12.0 14.0 14.0 ## [71391] 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 12.0 12.0 12.0 ## [71402] 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 12.0 12.0 16.0 ## [71413] 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 15.0 13.0 12.0 ## [71424] 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 12.0 17.0 14.0 ## [71435] 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 19.0 18.0 24.0 ## [71446] 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 21.0 16.0 18.0 ## [71457] 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 35.0 18.0 19.0 ## [71468] 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 41.0 13.0 20.0 ## [71479] 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 35.0 21.0 21.0 ## [71490] 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 13.0 21.0 15.0 ## [71501] 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 13.0 21.0 22.0 ## [71512] 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 32.0 14.0 12.0 ## [71523] 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 22.0 22.0 20.0 ## [71534] 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 21.0 17.0 18.0 ## [71545] 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 13.0 13.0 14.0 ## [71556] 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 17.0 24.0 21.0 ## [71567] 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 21.0 15.0 23.0 ## [71578] 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 13.0 15.0 12.0 ## [71589] 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 33.0 36.0 42.0 ## [71600] 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 16.0 18.0 16.0 ## [71611] 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 32.0 31.0 32.0 ## [71622] 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 20.0 25.0 38.0 ## [71633] 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 14.0 16.0 19.0 ## [71644] 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 31.0 28.0 14.0 ## [71655] 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 23.0 27.0 24.0 ## [71666] 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 37.0 15.0 19.0 ## [71677] 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 38.0 15.0 18.0 ## [71688] 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 36.0 32.0 38.0 ## [71699] 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 29.0 36.0 48.0 ## [71710] 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 20.0 36.0 48.0 ## [71721] 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 43.0 14.0 13.0 ## [71732] 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 43.0 42.0 14.0 ## [71743] 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 18.0 18.0 23.0 ## [71754] 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 46.0 43.0 13.0 ## [71765] 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 40.0 32.0 27.0 ## [71776] 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 30.0 36.0 37.0 ## [71787] 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 16.0 22.0 21.0 ## [71798] 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 61.0 58.0 57.0 ## [71809] 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 50.0 59.0 94.0 ## [71820] 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 62.0 49.0 53.0 ## [71831] 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 63.0 51.0 76.0 ## [71842] 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 63.0 55.0 65.0 ## [71853] 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 50.0 52.0 54.0 ## [71864] 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 54.0 51.0 63.0 ## [71875] 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 7.0 5.0 7.0 ## [71886] 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 4.0 7.0 5.0 ## [71897] 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 6.0 6.0 7.0 ## [71908] 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 5.0 6.0 9.0 ## [71919] 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 5.0 8.0 5.0 ## [71930] 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 6.0 10.0 8.0 ## [71941] 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 7.0 4.0 5.0 ## [71952] 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 7.0 4.0 2.0 ## [71963] 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 3.0 9.0 8.0 ## [71974] 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 0.5 9.0 8.0 ## [71985] 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 0.5 0.5 0.5 ## [71996] 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 2.0 3.0 2.0 ## [72007] 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 4.0 4.0 5.0 ## [72018] 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 4.0 3.0 4.0 ## [72029] 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 2.0 2.0 2.0 ## [72040] 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 4.0 3.0 2.0 ## [72051] 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 4.0 5.0 2.0 ## [72062] 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 3.0 5.0 4.0 ## [72073] 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 5.0 3.0 4.0 ## [72084] 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 3.0 2.0 3.0 ## [72095] 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 2.0 3.0 4.0 ## [72106] 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 2.0 2.0 2.0 ## [72117] 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 7.0 4.0 5.0 ## [72128] 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 5.0 3.0 2.0 ## [72139] 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 4.0 2.0 1.0 ## [72150] 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 2.0 1.0 2.0 ## [72161] 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 5.0 3.0 4.0 ## [72172] 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 2.0 2.0 1.0 ## [72183] 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 4.0 5.0 3.0 ## [72194] 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 2.0 2.0 2.0 ## [72205] 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 3.0 4.0 2.0 ## [72216] 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 2.0 1.0 2.0 ## [72227] 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 2.0 2.0 2.0 ## [72238] 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 2.0 3.0 4.0 ## [72249] 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 3.0 1.0 2.0 ## [72260] 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 2.0 3.0 2.0 ## [72271] 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 2.0 3.0 2.0 ## [72282] 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 3.0 5.0 2.0 ## [72293] 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 4.0 4.0 3.0 ## [72304] 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 3.0 2.0 3.0 ## [72315] 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 3.0 4.0 4.0 ## [72326] 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 4.0 5.0 2.0 ## [72337] 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 2.0 1.0 5.0 ## [72348] 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 3.0 4.0 2.0 ## [72359] 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0 ## [72370] 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 3.0 5.0 3.0 ## [72381] 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 5.0 2.0 3.0 ## [72392] 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 1.0 1.0 1.0 ## [72403] 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 1.0 1.0 0.5 ## [72414] 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 0.5 2.0 0.5 ## [72425] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 0.5 ## [72436] 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 0.5 0.5 0.5 ## [72447] 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [72458] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 ## [72469] 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 1.0 2.0 1.0 ## [72480] 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 1.0 ## [72491] 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 1.0 0.5 1.0 ## [72502] 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [72513] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [72524] 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 1.0 ## [72535] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 ## [72546] 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [72557] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 1.0 ## [72568] 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 ## [72579] 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 2.0 1.0 ## [72590] 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 ## [72601] 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 9.0 6.0 5.0 ## [72612] 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 8.0 5.0 4.0 ## [72623] 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 9.0 9.0 10.0 ## [72634] 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 6.0 8.0 7.0 ## [72645] 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 7.0 6.0 7.0 ## [72656] 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 7.0 7.0 1.0 ## [72667] 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 1.0 9.0 10.0 ## [72678] 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 4.0 8.0 6.0 ## [72689] 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 5.0 5.0 7.0 ## [72700] 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 5.0 8.0 8.0 ## [72711] 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 7.0 8.0 7.0 ## [72722] 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 10.5 8.0 10.0 ## [72733] 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 8.0 5.0 6.0 ## [72744] 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 7.0 0.5 8.0 ## [72755] 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 0.5 8.0 5.0 ## [72766] 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 4.0 7.0 7.0 ## [72777] 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 5.0 5.0 7.0 ## [72788] 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 6.0 9.0 0.5 ## [72799] 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 10.0 7.0 8.0 ## [72810] 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 8.0 4.0 6.0 ## [72821] 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 9.0 7.0 10.0 ## [72832] 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 8.0 6.0 1.0 ## [72843] 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 4.0 0.5 10.0 ## [72854] 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 1.0 7.0 7.0 ## [72865] 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 7.0 7.0 9.0 ## [72876] 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 7.0 5.0 6.0 ## [72887] 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 10.0 5.0 8.0 ## [72898] 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 6.0 10.5 1.0 ## [72909] 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 7.0 0.5 9.0 ## [72920] 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 0.5 7.0 10.0 ## [72931] 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 6.0 6.0 8.0 ## [72942] 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 10.5 10.5 9.0 ## [72953] 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 7.0 5.0 7.0 ## [72964] 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 6.0 9.0 0.5 ## [72975] 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 8.0 1.0 8.0 ## [72986] 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 1.0 9.0 7.0 ## [72997] 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 1.0 9.0 9.0 ## [73008] 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 8.0 8.0 9.0 ## [73019] 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 7.0 10.0 5.0 ## [73030] 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 6.0 6.0 6.0 ## [73041] 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 4.0 10.0 3.0 ## [73052] 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 5.0 5.0 6.0 ## [73063] 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 6.0 8.0 9.0 ## [73074] 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 1.0 8.0 10.5 ## [73085] 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 7.0 6.0 4.0 ## [73096] 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [73107] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [73118] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [73129] 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [73140] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [73151] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 0.5 1.0 ## [73162] 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [73173] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [73184] 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 ## [73195] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [73206] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 ## [73217] 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [73228] 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [73239] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [73250] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 1.0 ## [73261] 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 1.0 1.0 0.5 ## [73272] 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 2.0 2.0 3.0 ## [73283] 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 2.0 2.0 3.0 ## [73294] 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 2.0 2.0 3.0 ## [73305] 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 1.0 3.0 3.0 ## [73316] 2.0 2.0 6.0 1.0 3.0 4.0 2.0 2.0 2.0 2.0 4.0 ## [73327] 3.0 2.0 3.0 2.0 2.0 2.0 2.0 2.0 4.0 2.0 2.0 ## [73338] 3.0 4.0 2.0 2.0 2.0 3.0 2.0 5.0 2.0 1.0 1.0 ## [73349] 2.0 2.0 2.0 3.0 3.0 4.0 2.0 2.0 5.0 6.0 3.0 ## [73360] 3.0 3.0 2.0 4.0 2.0 2.0 4.0 6.0 2.0 1.0 2.0 ## [73371] 2.0 1.0 1.0 3.0 2.0 5.0 2.0 3.0 1.0 3.0 2.0 ## [73382] 3.0 3.0 3.0 3.0 1.0 1.0 2.0 4.0 3.0 2.0 2.0 ## [73393] 2.0 3.0 1.0 2.0 2.0 1.0 3.0 2.0 6.0 4.0 5.0 ## [73404] 3.0 1.0 1.0 3.0 2.0 1.0 1.0 2.0 4.0 2.0 3.0 ## [73415] 2.0 2.0 2.0 1.0 2.0 1.0 2.0 1.0 4.0 2.0 1.0 ## [73426] 2.0 4.0 2.0 9.0 10.5 10.5 10.0 10.5 10.0 6.0 8.0 ## [73437] 10.0 9.0 10.5 10.0 10.5 10.0 10.5 8.0 10.5 10.0 10.5 ## [73448] 10.5 10.5 10.0 10.0 10.0 10.0 10.0 10.5 10.5 13.0 12.0 ## [73459] 14.0 14.0 11.0 13.0 14.0 22.0 23.0 30.0 27.0 18.0 23.0 ## [73470] 27.0 29.0 35.0 34.0 29.0 27.0 17.0 18.0 21.0 23.0 24.0 ## [73481] 27.0 35.0 42.0 14.0 15.0 24.0 14.0 27.0 25.0 24.0 28.0 ## [73492] 42.0 30.0 43.0 22.0 26.0 40.0 13.0 27.0 31.0 41.0 41.0 ## [73503] 46.0 12.0 47.0 26.0 38.0 18.0 19.0 23.0 16.0 14.0 23.0 ## [73514] 27.0 13.0 18.0 14.0 21.0 18.0 19.0 24.0 25.0 15.0 22.0 ## [73525] 23.0 27.0 25.0 36.0 33.0 38.0 43.0 15.0 34.0 46.0 40.0 ## [73536] 13.0 15.0 17.0 19.0 22.0 14.0 20.0 23.0 33.0 36.0 34.0 ## [73547] 16.0 16.0 15.0 26.0 27.0 14.0 29.0 25.0 45.0 46.0 17.0 ## [73558] 16.0 12.0 15.0 18.0 16.0 21.0 16.0 23.0 25.0 35.0 32.0 ## [73569] 47.0 12.0 22.0 15.0 13.0 20.0 38.0 20.0 30.0 23.0 18.0 ## [73580] 34.0 26.0 22.0 20.0 19.0 15.0 19.0 25.0 38.0 20.0 12.0 ## [73591] 12.0 12.0 12.0 21.0 22.0 23.0 21.0 29.0 44.0 13.0 22.0 ## [73602] 12.0 15.0 13.0 18.0 21.0 31.0 25.0 29.0 36.0 47.0 22.0 ## [73613] 19.0 29.0 29.0 38.0 36.0 18.0 46.0 26.0 39.0 14.0 18.0 ## [73624] 17.0 30.0 37.0 22.0 16.0 27.0 32.0 35.0 22.0 23.0 18.0 ## [73635] 47.0 19.0 14.0 43.0 14.0 12.0 14.0 16.0 19.0 27.0 44.0 ## [73646] 18.0 15.0 30.0 37.0 31.0 33.0 23.0 41.0 23.0 43.0 13.0 ## [73657] 13.0 16.0 20.0 16.0 11.0 17.0 20.0 15.0 16.0 34.0 17.0 ## [73668] 17.0 25.0 13.0 13.0 30.0 14.0 22.0 12.0 13.0 17.0 27.0 ## [73679] 14.0 38.0 12.0 13.0 27.0 33.0 13.0 20.0 19.0 28.0 14.0 ## [73690] 37.0 41.0 39.0 12.0 18.0 14.0 16.0 23.0 43.0 16.0 14.0 ## [73701] 16.0 12.0 26.0 19.0 19.0 21.0 14.0 34.0 32.0 15.0 45.0 ## [73712] 34.0 22.0 32.0 22.0 39.0 24.0 21.0 43.0 17.0 17.0 23.0 ## [73723] 18.0 15.0 23.0 15.0 19.0 22.0 40.0 19.0 43.0 12.0 21.0 ## [73734] 15.0 29.0 15.0 22.0 19.0 22.0 24.0 46.0 41.0 21.0 12.0 ## [73745] 13.0 27.0 19.0 22.0 18.0 15.0 17.0 27.0 11.0 21.0 26.0 ## [73756] 23.0 45.0 12.0 17.0 12.0 12.0 12.0 14.0 13.0 13.0 15.0 ## [73767] 12.0 15.0 13.0 12.0 13.0 13.0 12.0 13.0 12.0 13.0 13.0 ## [73778] 12.0 12.0 12.0 12.0 13.0 12.0 12.0 14.0 14.0 14.0 12.0 ## [73789] 11.0 13.0 12.0 14.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 ## [73800] 16.0 13.0 11.0 13.0 13.0 14.0 12.0 12.0 16.0 12.0 12.0 ## [73811] 13.0 12.0 12.0 16.0 13.0 12.0 15.0 13.0 12.0 16.0 16.0 ## [73822] 11.0 14.0 13.0 18.0 13.0 16.0 12.0 17.0 14.0 16.0 13.0 ## [73833] 15.0 12.0 13.0 14.0 14.0 17.0 19.0 18.0 24.0 14.0 13.0 ## [73844] 15.0 22.0 20.0 19.0 19.0 22.0 21.0 16.0 18.0 17.0 32.0 ## [73855] 12.0 15.0 15.0 20.0 19.0 34.0 35.0 18.0 19.0 12.0 16.0 ## [73866] 14.0 14.0 21.0 21.0 27.0 14.0 41.0 13.0 20.0 40.0 12.0 ## [73877] 12.0 16.0 16.0 24.0 20.0 16.0 35.0 21.0 21.0 21.0 15.0 ## [73888] 25.0 24.0 26.0 34.0 15.0 15.0 13.0 21.0 15.0 18.0 25.0 ## [73899] 16.0 21.0 16.0 14.0 13.0 17.0 13.0 21.0 22.0 26.0 30.0 ## [73910] 42.0 17.0 20.0 21.0 23.0 26.0 32.0 14.0 12.0 11.0 20.0 ## [73921] 16.0 17.0 12.0 14.0 15.0 12.0 22.0 22.0 20.0 23.0 19.0 ## [73932] 21.0 24.0 25.0 28.0 30.0 14.0 21.0 17.0 18.0 16.0 18.0 ## [73943] 15.0 24.0 17.0 20.0 12.0 15.0 13.0 13.0 14.0 20.0 12.0 ## [73954] 20.0 20.0 19.0 16.0 19.0 25.0 17.0 24.0 21.0 19.0 27.0 ## [73965] 27.0 33.0 40.0 35.0 41.0 14.0 21.0 15.0 23.0 16.0 15.0 ## [73976] 18.0 34.0 29.0 27.0 32.0 43.0 13.0 15.0 12.0 11.0 19.0 ## [73987] 21.0 21.0 29.0 33.0 32.0 29.0 33.0 36.0 42.0 17.0 24.0 ## [73998] 17.0 24.0 12.0 14.0 14.0 15.0 16.0 18.0 16.0 17.0 19.0 ## [74009] 24.0 28.0 24.0 23.0 30.0 23.0 32.0 31.0 32.0 47.0 18.0 ## [74020] 27.0 21.0 19.0 32.0 33.0 38.0 20.0 25.0 38.0 18.0 20.0 ## [74031] 43.0 46.0 13.0 12.0 14.0 16.0 14.0 16.0 19.0 19.0 16.0 ## [74042] 19.0 32.0 23.0 20.0 24.0 23.0 31.0 28.0 14.0 17.0 14.0 ## [74053] 12.0 26.0 13.0 13.0 17.0 16.0 23.0 27.0 24.0 22.0 24.0 ## [74064] 25.0 22.0 22.0 28.0 30.0 40.0 37.0 15.0 19.0 16.0 28.0 ## [74075] 35.0 32.0 36.0 34.0 33.0 39.0 38.0 15.0 18.0 14.0 15.0 ## [74086] 22.0 26.0 33.0 23.0 17.0 24.0 36.0 32.0 38.0 14.0 17.0 ## [74097] 12.0 14.0 13.0 16.0 18.0 26.0 29.0 36.0 48.0 12.0 17.0 ## [74108] 19.0 26.0 23.0 28.0 29.0 37.0 20.0 36.0 48.0 15.0 18.0 ## [74119] 17.0 27.0 26.0 34.0 15.0 31.0 43.0 14.0 13.0 31.0 18.0 ## [74130] 15.0 18.0 20.0 22.0 35.0 29.0 43.0 42.0 14.0 18.0 31.0 ## [74141] 13.0 12.0 12.0 20.0 19.0 18.0 18.0 18.0 23.0 21.0 23.0 ## [74152] 24.0 25.0 21.0 28.0 42.0 27.0 46.0 43.0 13.0 17.0 16.0 ## [74163] 16.0 13.0 18.0 14.0 22.0 20.0 40.0 32.0 27.0 31.0 19.0 ## [74174] 31.0 31.0 41.0 39.0 32.0 45.0 30.0 36.0 37.0 36.0 15.0 ## [74185] 12.0 18.0 12.0 13.0 14.0 16.0 16.0 22.0 21.0 61.0 62.0 ## [74196] 77.0 52.0 63.0 58.0 52.0 50.0 61.0 58.0 57.0 83.0 82.0 ## [74207] 54.0 62.0 152.0 57.0 55.0 70.0 50.0 59.0 94.0 138.0 54.0 ## [74218] 305.0 64.0 59.0 84.0 59.0 99.0 62.0 49.0 53.0 52.0 142.0 ## [74229] 58.0 104.0 62.0 105.0 49.0 107.0 63.0 51.0 76.0 50.0 83.0 ## [74240] 112.0 49.0 94.0 56.0 50.0 77.0 63.0 55.0 65.0 68.0 196.0 ## [74251] 58.0 68.0 56.0 50.0 109.0 73.0 50.0 52.0 54.0 107.0 51.0 ## [74262] 83.0 64.0 70.0 55.0 62.0 72.0 54.0 51.0 63.0 51.0 50.0 ## [74273] 54.0 67.0 169.0 176.0 3.0 4.0 7.0 5.0 7.0 3.0 10.5 ## [74284] 10.0 5.0 5.0 6.0 7.0 7.0 4.0 7.0 5.0 4.0 5.0 ## [74295] 5.0 7.0 8.0 6.0 9.0 7.0 6.0 6.0 7.0 9.0 4.0 ## [74306] 5.0 6.0 6.0 5.0 5.0 6.0 5.0 6.0 9.0 5.0 10.5 ## [74317] 5.0 8.0 8.0 5.0 6.0 5.0 5.0 8.0 5.0 8.0 7.0 ## [74328] 6.0 5.0 4.0 5.0 5.0 10.5 6.0 10.0 8.0 5.0 9.0 ## [74339] 5.0 10.0 5.0 7.0 4.0 5.0 7.0 4.0 5.0 5.0 4.0 ## [74350] 7.0 7.0 4.0 7.0 1.0 4.0 7.0 4.0 2.0 2.0 10.5 ## [74361] 10.5 9.0 10.5 10.5 10.5 9.0 3.0 9.0 8.0 10.0 10.5 ## [74372] 10.0 6.0 10.5 10.0 10.5 8.0 0.5 9.0 8.0 6.0 0.5 ## [74383] 9.0 0.5 8.0 1.0 10.0 0.5 0.5 0.5 0.5 10.5 1.0 ## [74394] 8.0 0.5 0.5 0.5 3.0 4.0 2.0 3.0 2.0 3.0 3.0 ## [74405] 4.0 1.0 2.0 4.0 3.0 5.0 4.0 4.0 5.0 5.0 1.0 ## [74416] 2.0 1.0 3.0 2.0 3.0 2.0 4.0 3.0 4.0 5.0 6.0 ## [74427] 6.0 0.5 4.0 4.0 2.0 4.0 2.0 2.0 2.0 1.0 2.0 ## [74438] 4.0 0.5 4.0 4.0 4.0 5.0 4.0 3.0 2.0 3.0 4.0 ## [74449] 2.0 0.5 4.0 2.0 4.0 4.0 4.0 5.0 2.0 2.0 1.0 ## [74460] 1.0 0.5 1.0 3.0 4.0 2.0 3.0 5.0 4.0 5.0 4.0 ## [74471] 2.0 0.5 2.0 1.0 3.0 4.0 5.0 3.0 4.0 4.0 3.0 ## [74482] 2.0 0.5 1.0 3.0 4.0 1.0 3.0 2.0 3.0 4.0 6.0 ## [74493] 5.0 1.0 1.0 6.0 3.0 2.0 2.0 3.0 4.0 3.0 3.0 ## [74504] 6.0 0.5 2.0 2.0 2.0 1.0 2.0 2.0 2.0 2.0 3.0 ## [74515] 3.0 0.5 3.0 5.0 4.0 4.0 7.0 4.0 5.0 5.0 4.0 ## [74526] 10.0 0.5 5.0 2.0 3.0 3.0 5.0 3.0 2.0 4.0 4.0 ## [74537] 1.0 0.5 3.0 3.0 4.0 5.0 4.0 2.0 1.0 3.0 2.0 ## [74548] 1.0 0.5 3.0 3.0 6.0 4.0 2.0 1.0 2.0 4.0 3.0 ## [74559] 3.0 0.5 1.0 2.0 2.0 3.0 5.0 3.0 4.0 3.0 1.0 ## [74570] 5.0 0.5 2.0 3.0 2.0 2.0 2.0 2.0 1.0 4.0 5.0 ## [74581] 2.0 0.5 1.0 2.0 2.0 3.0 4.0 5.0 3.0 2.0 3.0 ## [74592] 2.0 1.0 2.0 5.0 2.0 1.0 2.0 2.0 2.0 1.0 6.0 ## [74603] 4.0 1.0 5.0 5.0 1.0 4.0 3.0 4.0 2.0 1.0 2.0 ## [74614] 3.0 1.0 4.0 3.0 3.0 5.0 2.0 1.0 2.0 1.0 3.0 ## [74625] 4.0 0.5 3.0 4.0 1.0 4.0 2.0 2.0 2.0 2.0 2.0 ## [74636] 2.0 0.5 3.0 3.0 2.0 3.0 2.0 3.0 4.0 3.0 1.0 ## [74647] 2.0 0.5 3.0 4.0 3.0 6.0 3.0 1.0 2.0 3.0 4.0 ## [74658] 5.0 1.0 3.0 3.0 3.0 2.0 2.0 3.0 2.0 4.0 4.0 ## [74669] 2.0 0.5 3.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 6.0 ## [74680] 3.0 0.5 4.0 3.0 5.0 3.0 3.0 5.0 2.0 2.0 3.0 ## [74691] 3.0 1.0 1.0 4.0 4.0 2.0 4.0 4.0 3.0 4.0 4.0 ## [74702] 2.0 1.0 3.0 1.0 2.0 4.0 3.0 2.0 3.0 4.0 4.0 ## [74713] 2.0 1.0 3.0 3.0 2.0 5.0 3.0 4.0 4.0 3.0 4.0 ## [74724] 3.0 0.5 2.0 2.0 3.0 5.0 4.0 5.0 2.0 2.0 3.0 ## [74735] 4.0 0.5 3.0 2.0 2.0 2.0 2.0 1.0 5.0 5.0 7.0 ## [74746] 2.0 0.5 2.0 1.0 6.0 2.0 3.0 4.0 2.0 2.0 3.0 ## [74757] 3.0 1.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0 3.0 5.0 ## [74768] 3.0 0.5 2.0 2.0 3.0 2.0 3.0 5.0 3.0 2.0 2.0 ## [74779] 2.0 0.5 2.0 2.0 3.0 4.0 5.0 2.0 3.0 4.0 0.5 ## [74790] 1.0 0.5 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 1.0 ## [74801] 1.0 0.5 2.0 1.0 2.0 2.0 1.0 1.0 0.5 1.0 1.0 ## [74812] 2.0 0.5 0.5 1.0 1.0 0.5 0.5 2.0 0.5 0.5 1.0 ## [74823] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 0.5 1.0 0.5 ## [74834] 0.5 0.5 1.0 1.0 2.0 0.5 0.5 0.5 0.5 2.0 0.5 ## [74845] 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [74856] 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 2.0 1.0 ## [74867] 1.0 0.5 1.0 1.0 1.0 0.5 1.0 2.0 1.0 1.0 1.0 ## [74878] 2.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [74889] 1.0 0.5 1.0 1.0 1.0 2.0 1.0 0.5 1.0 0.5 0.5 ## [74900] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [74911] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [74922] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 1.0 1.0 1.0 ## [74933] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 1.0 0.5 ## [74944] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [74955] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 1.0 1.0 1.0 ## [74966] 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 ## [74977] 1.0 0.5 0.5 0.5 1.0 1.0 1.0 2.0 1.0 1.0 1.0 ## [74988] 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [74999] 1.0 0.5 4.0 9.0 6.0 10.5 9.0 6.0 5.0 5.0 8.0 ## [75010] 7.0 0.5 9.0 10.0 10.5 7.0 8.0 5.0 4.0 6.0 6.0 ## [75021] 6.0 0.5 8.0 6.0 10.5 8.0 9.0 9.0 10.0 4.0 0.5 ## [75032] 5.0 10.0 10.0 6.0 8.0 10.0 6.0 8.0 7.0 7.0 1.0 ## [75043] 8.0 7.0 7.0 9.0 7.0 7.0 7.0 6.0 7.0 0.5 6.0 ## [75054] 7.0 7.0 9.0 10.0 4.0 3.0 7.0 7.0 1.0 9.0 5.0 ## [75065] 6.0 5.0 7.0 6.0 4.0 7.0 1.0 9.0 10.0 9.0 10.5 ## [75076] 5.0 8.0 10.0 10.0 10.5 1.0 4.0 8.0 6.0 7.0 9.0 ## [75087] 10.0 8.0 10.5 3.0 6.0 0.5 5.0 5.0 7.0 10.5 7.0 ## [75098] 8.0 8.0 6.0 10.0 10.0 0.5 5.0 8.0 8.0 8.0 10.0 ## [75109] 3.0 10.0 6.0 5.0 0.5 6.0 7.0 8.0 7.0 8.0 7.0 ## [75120] 7.0 7.0 6.0 8.0 1.0 8.0 10.5 8.0 10.0 6.0 4.0 ## [75131] 9.0 8.0 10.5 1.0 9.0 7.0 8.0 5.0 6.0 0.5 4.0 ## [75142] 6.0 10.0 6.0 6.0 9.0 6.0 7.0 0.5 8.0 7.0 9.0 ## [75153] 8.0 9.0 10.5 10.0 9.0 10.0 0.5 8.0 5.0 7.0 7.0 ## [75164] 8.0 6.0 10.0 0.5 8.0 8.0 4.0 7.0 7.0 10.0 7.0 ## [75175] 0.5 8.0 5.0 6.0 8.0 9.0 5.0 5.0 7.0 1.0 7.0 ## [75186] 6.0 8.0 8.0 4.0 7.0 8.0 6.0 9.0 0.5 10.5 10.0 ## [75197] 10.0 7.0 10.0 10.5 8.0 0.5 10.0 7.0 8.0 8.0 5.0 ## [75208] 10.0 10.5 9.0 0.5 7.0 7.0 8.0 4.0 6.0 7.0 10.0 ## [75219] 7.0 1.0 10.0 10.0 5.0 6.0 9.0 7.0 10.0 10.0 1.0 ## [75230] 5.0 9.0 7.0 6.0 9.0 6.0 8.0 6.0 1.0 9.0 5.0 ## [75241] 6.0 6.0 5.0 9.0 10.0 9.0 4.0 0.5 10.0 7.0 6.0 ## [75252] 7.0 10.0 10.0 10.5 10.0 7.0 1.0 7.0 7.0 9.0 9.0 ## [75263] 10.0 9.0 10.5 6.0 10.0 1.0 7.0 7.0 9.0 6.0 10.5 ## [75274] 5.0 7.0 9.0 9.0 2.0 0.5 7.0 5.0 6.0 8.0 10.5 ## [75285] 7.0 10.5 1.0 5.0 6.0 6.0 10.0 5.0 8.0 6.0 7.0 ## [75296] 0.5 10.0 5.0 10.0 9.0 5.0 6.0 10.5 1.0 8.0 6.0 ## [75307] 6.0 8.0 8.0 8.0 5.0 7.0 7.0 0.5 9.0 5.0 8.0 ## [75318] 7.0 10.0 8.0 8.0 6.0 5.0 0.5 7.0 10.0 5.0 5.0 ## [75329] 5.0 8.0 4.0 0.5 5.0 6.0 6.0 6.0 8.0 9.0 7.0 ## [75340] 10.5 6.0 0.5 6.0 3.0 7.0 10.5 10.5 9.0 9.0 4.0 ## [75351] 7.0 6.0 0.5 8.0 5.0 10.0 7.0 5.0 7.0 10.0 0.5 ## [75362] 8.0 8.0 9.0 10.5 10.0 7.0 6.0 9.0 0.5 8.0 5.0 ## [75373] 5.0 8.0 8.0 7.0 6.0 6.0 8.0 1.0 8.0 5.0 7.0 ## [75384] 2.0 8.0 7.0 10.5 7.0 8.0 1.0 9.0 7.0 9.0 9.0 ## [75395] 9.0 6.0 9.0 7.0 4.0 4.0 1.0 9.0 9.0 10.0 10.0 ## [75406] 5.0 5.0 10.5 0.5 4.0 7.0 8.0 8.0 9.0 9.0 7.0 ## [75417] 8.0 7.0 7.0 0.5 7.0 9.0 7.0 10.0 5.0 7.0 8.0 ## [75428] 10.0 8.0 0.5 5.0 2.0 8.0 6.0 6.0 6.0 8.0 8.0 ## [75439] 0.5 8.0 7.0 9.0 6.0 5.0 4.0 10.0 3.0 6.0 0.5 ## [75450] 6.0 9.0 10.5 3.0 8.0 8.0 5.0 5.0 6.0 0.5 9.0 ## [75461] 9.0 6.0 9.0 7.0 6.0 10.0 6.0 8.0 9.0 1.0 5.0 ## [75472] 7.0 10.0 9.0 5.0 10.5 6.0 1.0 8.0 10.5 10.5 5.0 ## [75483] 6.0 5.0 7.0 8.0 8.0 1.0 7.0 6.0 4.0 7.0 9.0 ## [75494] 7.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [75505] 0.5 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [75516] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [75527] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 ## [75538] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 ## [75549] 0.5 0.5 1.0 1.0 1.0 0.5 1.0 0.5 1.0 0.5 0.5 ## [75560] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 ## [75571] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 ## [75582] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 ## [75593] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [75604] 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 0.5 1.0 ## [75615] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [75626] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [75637] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [75648] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 1.0 1.0 1.0 ## [75659] 0.5 0.5 0.5 1.0 0.5 0.5 1.0 1.0 0.5 1.0 0.5 ## [75670] 0.5 1.0 0.5 2.0 2.0 1.0 2.0 2.0 3.0 2.0 4.0 ## [75681] 4.0 1.0 4.0 3.0 3.0 2.0 2.0 2.0 3.0 3.0 3.0 ## [75692] 1.0 2.0 3.0 3.0 3.0 4.0 2.0 2.0 3.0 2.0 2.0 ## [75703] 2.0 1.0 3.0 3.0 1.0 2.0 1.0 3.0 3.0 2.0 2.0 ## [75714] 6.0 1.0 3.0 4.0 2.0 2.0 2.0 2.0 4.0 3.0 2.0 ## [75725] 3.0 2.0 2.0 2.0 2.0 2.0 4.0 2.0 2.0 3.0 4.0 ## [75736] 2.0 2.0 2.0 3.0 2.0 5.0 2.0 1.0 1.0 2.0 2.0 ## [75747] 2.0 3.0 3.0 4.0 2.0 2.0 5.0 6.0 3.0 3.0 3.0 ## [75758] 2.0 4.0 2.0 2.0 4.0 6.0 2.0 1.0 2.0 2.0 1.0 ## [75769] 1.0 3.0 2.0 5.0 2.0 3.0 1.0 3.0 2.0 3.0 3.0 ## [75780] 3.0 3.0 1.0 1.0 2.0 4.0 3.0 2.0 2.0 2.0 3.0 ## [75791] 1.0 2.0 2.0 1.0 3.0 2.0 6.0 4.0 5.0 3.0 1.0 ## [75802] 1.0 3.0 2.0 1.0 1.0 2.0 4.0 2.0 3.0 2.0 2.0 ## [75813] 2.0 1.0 2.0 1.0 2.0 1.0 4.0 2.0 1.0 2.0 4.0 ## [75824] 2.0 9.0 10.5 10.5 10.0 10.5 10.0 6.0 8.0 10.0 9.0 ## [75835] 10.5 10.0 10.5 10.0 10.5 8.0 10.5 10.0 10.5 10.5 10.5 ## [75846] 10.0 10.0 10.0 10.0 10.0 10.5 10.5 13.0 12.0 14.0 14.0 ## [75857] 11.0 13.0 14.0 22.0 23.0 30.0 27.0 18.0 23.0 27.0 29.0 ## [75868] 35.0 34.0 29.0 27.0 17.0 18.0 21.0 23.0 24.0 27.0 35.0 ## [75879] 42.0 14.0 15.0 24.0 14.0 27.0 25.0 24.0 28.0 42.0 30.0 ## [75890] 43.0 22.0 26.0 40.0 13.0 27.0 31.0 41.0 41.0 46.0 12.0 ## [75901] 47.0 26.0 38.0 18.0 19.0 23.0 16.0 14.0 23.0 27.0 13.0 ## [75912] 18.0 14.0 21.0 18.0 19.0 24.0 25.0 15.0 22.0 23.0 27.0 ## [75923] 25.0 36.0 33.0 38.0 43.0 15.0 34.0 46.0 40.0 13.0 15.0 ## [75934] 17.0 19.0 22.0 14.0 20.0 23.0 33.0 36.0 34.0 16.0 16.0 ## [75945] 15.0 26.0 27.0 14.0 29.0 25.0 45.0 46.0 17.0 16.0 12.0 ## [75956] 15.0 18.0 16.0 21.0 16.0 23.0 25.0 35.0 32.0 47.0 12.0 ## [75967] 22.0 15.0 13.0 20.0 38.0 20.0 30.0 23.0 18.0 34.0 26.0 ## [75978] 22.0 20.0 19.0 15.0 19.0 25.0 38.0 20.0 12.0 12.0 12.0 ## [75989] 12.0 21.0 22.0 23.0 21.0 29.0 44.0 13.0 22.0 12.0 15.0 ## [76000] 13.0 18.0 21.0 31.0 25.0 29.0 36.0 47.0 22.0 19.0 29.0 ## [76011] 29.0 38.0 36.0 18.0 46.0 26.0 39.0 14.0 18.0 17.0 30.0 ## [76022] 37.0 22.0 16.0 27.0 32.0 35.0 22.0 23.0 18.0 47.0 19.0 ## [76033] 14.0 43.0 14.0 12.0 14.0 16.0 19.0 27.0 44.0 18.0 15.0 ## [76044] 30.0 37.0 31.0 33.0 23.0 41.0 23.0 43.0 13.0 13.0 16.0 ## [76055] 20.0 16.0 11.0 17.0 20.0 15.0 16.0 34.0 17.0 17.0 25.0 ## [76066] 13.0 13.0 30.0 14.0 22.0 12.0 13.0 17.0 27.0 14.0 38.0 ## [76077] 12.0 13.0 27.0 33.0 13.0 20.0 19.0 28.0 14.0 37.0 41.0 ## [76088] 39.0 12.0 18.0 14.0 16.0 23.0 43.0 16.0 14.0 16.0 12.0 ## [76099] 26.0 19.0 19.0 21.0 14.0 34.0 32.0 15.0 45.0 34.0 22.0 ## [76110] 32.0 22.0 39.0 24.0 21.0 43.0 17.0 17.0 23.0 18.0 15.0 ## [76121] 23.0 15.0 19.0 22.0 40.0 19.0 43.0 12.0 21.0 15.0 29.0 ## [76132] 15.0 22.0 19.0 22.0 24.0 46.0 41.0 21.0 12.0 13.0 27.0 ## [76143] 19.0 22.0 18.0 15.0 17.0 27.0 11.0 21.0 26.0 23.0 45.0 ## [76154] 12.0 17.0 12.0 12.0 12.0 14.0 13.0 13.0 15.0 12.0 15.0 ## [76165] 13.0 12.0 13.0 13.0 12.0 13.0 12.0 13.0 13.0 12.0 12.0 ## [76176] 12.0 12.0 13.0 12.0 12.0 14.0 14.0 14.0 12.0 11.0 13.0 ## [76187] 12.0 14.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 16.0 13.0 ## [76198] 11.0 13.0 13.0 14.0 12.0 12.0 16.0 12.0 12.0 13.0 12.0 ## [76209] 12.0 16.0 13.0 12.0 15.0 13.0 12.0 16.0 16.0 11.0 14.0 ## [76220] 13.0 18.0 13.0 16.0 12.0 17.0 14.0 16.0 13.0 15.0 12.0 ## [76231] 13.0 14.0 14.0 17.0 19.0 18.0 24.0 14.0 13.0 15.0 22.0 ## [76242] 20.0 19.0 19.0 22.0 21.0 16.0 18.0 17.0 32.0 12.0 15.0 ## [76253] 15.0 20.0 19.0 34.0 35.0 18.0 19.0 12.0 16.0 14.0 14.0 ## [76264] 21.0 21.0 27.0 14.0 41.0 13.0 20.0 40.0 12.0 12.0 16.0 ## [76275] 16.0 24.0 20.0 16.0 35.0 21.0 21.0 21.0 15.0 25.0 24.0 ## [76286] 26.0 34.0 15.0 15.0 13.0 21.0 15.0 18.0 25.0 16.0 21.0 ## [76297] 16.0 14.0 13.0 17.0 13.0 21.0 22.0 26.0 30.0 42.0 17.0 ## [76308] 20.0 21.0 23.0 26.0 32.0 14.0 12.0 11.0 20.0 16.0 17.0 ## [76319] 12.0 14.0 15.0 12.0 22.0 22.0 20.0 23.0 19.0 21.0 24.0 ## [76330] 25.0 28.0 30.0 14.0 21.0 17.0 18.0 16.0 18.0 15.0 24.0 ## [76341] 17.0 20.0 12.0 15.0 13.0 13.0 14.0 20.0 12.0 20.0 20.0 ## [76352] 19.0 16.0 19.0 25.0 17.0 24.0 21.0 19.0 27.0 27.0 33.0 ## [76363] 40.0 35.0 41.0 14.0 21.0 15.0 23.0 16.0 15.0 18.0 34.0 ## [76374] 29.0 27.0 32.0 43.0 13.0 15.0 12.0 11.0 19.0 21.0 21.0 ## [76385] 29.0 33.0 32.0 29.0 33.0 36.0 42.0 17.0 24.0 17.0 24.0 ## [76396] 12.0 14.0 14.0 15.0 16.0 18.0 16.0 17.0 19.0 24.0 28.0 ## [76407] 24.0 23.0 30.0 23.0 32.0 31.0 32.0 47.0 18.0 27.0 21.0 ## [76418] 19.0 32.0 33.0 38.0 20.0 25.0 38.0 18.0 20.0 43.0 46.0 ## [76429] 13.0 12.0 14.0 16.0 14.0 16.0 19.0 19.0 16.0 19.0 32.0 ## [76440] 23.0 20.0 24.0 23.0 31.0 28.0 14.0 17.0 14.0 12.0 26.0 ## [76451] 13.0 13.0 17.0 16.0 23.0 27.0 24.0 22.0 24.0 25.0 22.0 ## [76462] 22.0 28.0 30.0 40.0 37.0 15.0 19.0 16.0 28.0 35.0 32.0 ## [76473] 36.0 34.0 33.0 39.0 38.0 15.0 18.0 14.0 15.0 22.0 26.0 ## [76484] 33.0 23.0 17.0 24.0 36.0 32.0 38.0 14.0 17.0 12.0 14.0 ## [76495] 13.0 16.0 18.0 26.0 29.0 36.0 48.0 12.0 17.0 19.0 26.0 ## [76506] 23.0 28.0 29.0 37.0 20.0 36.0 48.0 15.0 18.0 17.0 27.0 ## [76517] 26.0 34.0 15.0 31.0 43.0 14.0 13.0 31.0 18.0 15.0 18.0 ## [76528] 20.0 22.0 35.0 29.0 43.0 42.0 14.0 18.0 31.0 13.0 12.0 ## [76539] 12.0 20.0 19.0 18.0 18.0 18.0 23.0 21.0 23.0 24.0 25.0 ## [76550] 21.0 28.0 42.0 27.0 46.0 43.0 13.0 17.0 16.0 16.0 13.0 ## [76561] 18.0 14.0 22.0 20.0 40.0 32.0 27.0 31.0 19.0 31.0 31.0 ## [76572] 41.0 39.0 32.0 45.0 30.0 36.0 37.0 36.0 15.0 12.0 18.0 ## [76583] 12.0 13.0 14.0 16.0 16.0 22.0 21.0 61.0 62.0 77.0 52.0 ## [76594] 63.0 58.0 52.0 50.0 61.0 58.0 57.0 83.0 82.0 54.0 62.0 ## [76605] 152.0 57.0 55.0 70.0 50.0 59.0 94.0 138.0 54.0 305.0 64.0 ## [76616] 59.0 84.0 59.0 99.0 62.0 49.0 53.0 52.0 142.0 58.0 104.0 ## [76627] 62.0 105.0 49.0 107.0 63.0 51.0 76.0 50.0 83.0 112.0 49.0 ## [76638] 94.0 56.0 50.0 77.0 63.0 55.0 65.0 68.0 196.0 58.0 68.0 ## [76649] 56.0 50.0 109.0 73.0 50.0 52.0 54.0 107.0 51.0 83.0 64.0 ## [76660] 70.0 55.0 62.0 72.0 54.0 51.0 63.0 51.0 50.0 54.0 67.0 ## [76671] 169.0 176.0 3.0 4.0 7.0 5.0 7.0 3.0 10.5 10.0 5.0 ## [76682] 5.0 6.0 7.0 7.0 4.0 7.0 5.0 4.0 5.0 5.0 7.0 ## [76693] 8.0 6.0 9.0 7.0 6.0 6.0 7.0 9.0 4.0 5.0 6.0 ## [76704] 6.0 5.0 5.0 6.0 5.0 6.0 9.0 5.0 10.5 5.0 8.0 ## [76715] 8.0 5.0 6.0 5.0 5.0 8.0 5.0 8.0 7.0 6.0 5.0 ## [76726] 4.0 5.0 5.0 10.5 6.0 10.0 8.0 5.0 9.0 5.0 10.0 ## [76737] 5.0 7.0 4.0 5.0 7.0 4.0 5.0 5.0 4.0 7.0 7.0 ## [76748] 4.0 7.0 1.0 4.0 7.0 4.0 2.0 2.0 10.5 10.5 9.0 ## [76759] 10.5 10.5 10.5 9.0 3.0 9.0 8.0 10.0 10.5 10.0 6.0 ## [76770] 10.5 10.0 10.5 8.0 0.5 9.0 8.0 6.0 0.5 9.0 0.5 ## [76781] 8.0 1.0 10.0 0.5 0.5 0.5 0.5 10.5 1.0 8.0 0.5 ## [76792] 0.5 0.5 3.0 4.0 2.0 3.0 2.0 3.0 3.0 4.0 1.0 ## [76803] 2.0 4.0 3.0 5.0 4.0 4.0 5.0 5.0 1.0 2.0 1.0 ## [76814] 3.0 2.0 3.0 2.0 4.0 3.0 4.0 5.0 6.0 6.0 0.5 ## [76825] 4.0 4.0 2.0 4.0 2.0 2.0 2.0 1.0 2.0 4.0 0.5 ## [76836] 4.0 4.0 4.0 5.0 4.0 3.0 2.0 3.0 4.0 2.0 0.5 ## [76847] 4.0 2.0 4.0 4.0 4.0 5.0 2.0 2.0 1.0 1.0 0.5 ## [76858] 1.0 3.0 4.0 2.0 3.0 5.0 4.0 5.0 4.0 2.0 0.5 ## [76869] 2.0 1.0 3.0 4.0 5.0 3.0 4.0 4.0 3.0 2.0 0.5 ## [76880] 1.0 3.0 4.0 1.0 3.0 2.0 3.0 4.0 6.0 5.0 1.0 ## [76891] 1.0 6.0 3.0 2.0 2.0 3.0 4.0 3.0 3.0 6.0 0.5 ## [76902] 2.0 2.0 2.0 1.0 2.0 2.0 2.0 2.0 3.0 3.0 0.5 ## [76913] 3.0 5.0 4.0 4.0 7.0 4.0 5.0 5.0 4.0 10.0 0.5 ## [76924] 5.0 2.0 3.0 3.0 5.0 3.0 2.0 4.0 4.0 1.0 0.5 ## [76935] 3.0 3.0 4.0 5.0 4.0 2.0 1.0 3.0 2.0 1.0 0.5 ## [76946] 3.0 3.0 6.0 4.0 2.0 1.0 2.0 4.0 3.0 3.0 0.5 ## [76957] 1.0 2.0 2.0 3.0 5.0 3.0 4.0 3.0 1.0 5.0 0.5 ## [76968] 2.0 3.0 2.0 2.0 2.0 2.0 1.0 4.0 5.0 2.0 0.5 ## [76979] 1.0 2.0 2.0 3.0 4.0 5.0 3.0 2.0 3.0 2.0 1.0 ## [76990] 2.0 5.0 2.0 1.0 2.0 2.0 2.0 1.0 6.0 4.0 1.0 ## [77001] 5.0 5.0 1.0 4.0 3.0 4.0 2.0 1.0 2.0 3.0 1.0 ## [77012] 4.0 3.0 3.0 5.0 2.0 1.0 2.0 1.0 3.0 4.0 0.5 ## [77023] 3.0 4.0 1.0 4.0 2.0 2.0 2.0 2.0 2.0 2.0 0.5 ## [77034] 3.0 3.0 2.0 3.0 2.0 3.0 4.0 3.0 1.0 2.0 0.5 ## [77045] 3.0 4.0 3.0 6.0 3.0 1.0 2.0 3.0 4.0 5.0 1.0 ## [77056] 3.0 3.0 3.0 2.0 2.0 3.0 2.0 4.0 4.0 2.0 0.5 ## [77067] 3.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 6.0 3.0 0.5 ## [77078] 4.0 3.0 5.0 3.0 3.0 5.0 2.0 2.0 3.0 3.0 1.0 ## [77089] 1.0 4.0 4.0 2.0 4.0 4.0 3.0 4.0 4.0 2.0 1.0 ## [77100] 3.0 1.0 2.0 4.0 3.0 2.0 3.0 4.0 4.0 2.0 1.0 ## [77111] 3.0 3.0 2.0 5.0 3.0 4.0 4.0 3.0 4.0 3.0 0.5 ## [77122] 2.0 2.0 3.0 5.0 4.0 5.0 2.0 2.0 3.0 4.0 0.5 ## [77133] 3.0 2.0 2.0 2.0 2.0 1.0 5.0 5.0 7.0 2.0 0.5 ## [77144] 2.0 1.0 6.0 2.0 3.0 4.0 2.0 2.0 3.0 3.0 1.0 ## [77155] 2.0 2.0 2.0 3.0 3.0 3.0 3.0 3.0 5.0 3.0 0.5 ## [77166] 2.0 2.0 3.0 2.0 3.0 5.0 3.0 2.0 2.0 2.0 0.5 ## [77177] 2.0 2.0 3.0 4.0 5.0 2.0 3.0 4.0 0.5 1.0 0.5 ## [77188] 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 ## [77199] 2.0 1.0 2.0 2.0 1.0 1.0 0.5 1.0 1.0 2.0 0.5 ## [77210] 0.5 1.0 1.0 0.5 0.5 2.0 0.5 0.5 1.0 1.0 0.5 ## [77221] 0.5 0.5 1.0 1.0 1.0 0.5 0.5 1.0 0.5 0.5 0.5 ## [77232] 1.0 1.0 2.0 0.5 0.5 0.5 0.5 2.0 0.5 0.5 0.5 ## [77243] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [77254] 1.0 1.0 0.5 1.0 0.5 0.5 0.5 2.0 1.0 1.0 0.5 ## [77265] 1.0 1.0 1.0 0.5 1.0 2.0 1.0 1.0 1.0 2.0 0.5 ## [77276] 1.0 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 ## [77287] 1.0 1.0 1.0 2.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 ## [77298] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [77309] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 ## [77320] 1.0 0.5 1.0 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 ## [77331] 0.5 0.5 0.5 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 ## [77342] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [77353] 1.0 1.0 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 ## [77364] 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 0.5 ## [77375] 0.5 0.5 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 0.5 ## [77386] 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 ## [77397] 4.0 9.0 6.0 10.5 9.0 6.0 5.0 5.0 8.0 7.0 0.5 ## [77408] 9.0 10.0 10.5 7.0 8.0 5.0 4.0 6.0 6.0 6.0 0.5 ## [77419] 8.0 6.0 10.5 8.0 9.0 9.0 10.0 4.0 0.5 5.0 10.0 ## [77430] 10.0 6.0 8.0 10.0 6.0 8.0 7.0 7.0 1.0 8.0 7.0 ## [77441] 7.0 9.0 7.0 7.0 7.0 6.0 7.0 0.5 6.0 7.0 7.0 ## [77452] 9.0 10.0 4.0 3.0 7.0 7.0 1.0 9.0 5.0 6.0 5.0 ## [77463] 7.0 6.0 4.0 7.0 1.0 9.0 10.0 9.0 10.5 5.0 8.0 ## [77474] 10.0 10.0 10.5 1.0 4.0 8.0 6.0 7.0 9.0 10.0 8.0 ## [77485] 10.5 3.0 6.0 0.5 5.0 5.0 7.0 10.5 7.0 8.0 8.0 ## [77496] 6.0 10.0 10.0 0.5 5.0 8.0 8.0 8.0 10.0 3.0 10.0 ## [77507] 6.0 5.0 0.5 6.0 7.0 8.0 7.0 8.0 7.0 7.0 7.0 ## [77518] 6.0 8.0 1.0 8.0 10.5 8.0 10.0 6.0 4.0 9.0 8.0 ## [77529] 10.5 1.0 9.0 7.0 8.0 5.0 6.0 0.5 4.0 6.0 10.0 ## [77540] 6.0 6.0 9.0 6.0 7.0 0.5 8.0 7.0 9.0 8.0 9.0 ## [77551] 10.5 10.0 9.0 10.0 0.5 8.0 5.0 7.0 7.0 8.0 6.0 ## [77562] 10.0 0.5 8.0 8.0 4.0 7.0 7.0 10.0 7.0 0.5 8.0 ## [77573] 5.0 6.0 8.0 9.0 5.0 5.0 7.0 1.0 7.0 6.0 8.0 ## [77584] 8.0 4.0 7.0 8.0 6.0 9.0 0.5 10.5 10.0 10.0 7.0 ## [77595] 10.0 10.5 8.0 0.5 10.0 7.0 8.0 8.0 5.0 10.0 10.5 ## [77606] 9.0 0.5 7.0 7.0 8.0 4.0 6.0 7.0 10.0 7.0 1.0 ## [77617] 10.0 10.0 5.0 6.0 9.0 7.0 10.0 10.0 1.0 5.0 9.0 ## [77628] 7.0 6.0 9.0 6.0 8.0 6.0 1.0 9.0 5.0 6.0 6.0 ## [77639] 5.0 9.0 10.0 9.0 4.0 0.5 10.0 7.0 6.0 7.0 10.0 ## [77650] 10.0 10.5 10.0 7.0 1.0 7.0 7.0 9.0 9.0 10.0 9.0 ## [77661] 10.5 6.0 10.0 1.0 7.0 7.0 9.0 6.0 10.5 5.0 7.0 ## [77672] 9.0 9.0 2.0 0.5 7.0 5.0 6.0 8.0 10.5 7.0 10.5 ## [77683] 1.0 5.0 6.0 6.0 10.0 5.0 8.0 6.0 7.0 0.5 10.0 ## [77694] 5.0 10.0 9.0 5.0 6.0 10.5 1.0 8.0 6.0 6.0 8.0 ## [77705] 8.0 8.0 5.0 7.0 7.0 0.5 9.0 5.0 8.0 7.0 10.0 ## [77716] 8.0 8.0 6.0 5.0 0.5 7.0 10.0 5.0 5.0 5.0 8.0 ## [77727] 4.0 0.5 5.0 6.0 6.0 6.0 8.0 9.0 7.0 10.5 6.0 ## [77738] 0.5 6.0 3.0 7.0 10.5 10.5 9.0 9.0 4.0 7.0 6.0 ## [77749] 0.5 8.0 5.0 10.0 7.0 5.0 7.0 10.0 0.5 8.0 8.0 ## [77760] 9.0 10.5 10.0 7.0 6.0 9.0 0.5 8.0 5.0 5.0 8.0 ## [77771] 8.0 7.0 6.0 6.0 8.0 1.0 8.0 5.0 7.0 2.0 8.0 ## [77782] 7.0 10.5 7.0 8.0 1.0 9.0 7.0 9.0 9.0 9.0 6.0 ## [77793] 9.0 7.0 4.0 4.0 1.0 9.0 9.0 10.0 10.0 5.0 5.0 ## [77804] 10.5 0.5 4.0 7.0 8.0 8.0 9.0 9.0 7.0 8.0 7.0 ## [77815] 7.0 0.5 7.0 9.0 7.0 10.0 5.0 7.0 8.0 10.0 8.0 ## [77826] 0.5 5.0 2.0 8.0 6.0 6.0 6.0 8.0 8.0 0.5 8.0 ## [77837] 7.0 9.0 6.0 5.0 4.0 10.0 3.0 6.0 0.5 6.0 9.0 ## [77848] 10.5 3.0 8.0 8.0 5.0 5.0 6.0 0.5 9.0 9.0 6.0 ## [77859] 9.0 7.0 6.0 10.0 6.0 8.0 9.0 1.0 5.0 7.0 10.0 ## [77870] 9.0 5.0 10.5 6.0 1.0 8.0 10.5 10.5 5.0 6.0 5.0 ## [77881] 7.0 8.0 8.0 1.0 7.0 6.0 4.0 7.0 9.0 7.0 0.5 ## [77892] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [77903] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [77914] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 1.0 ## [77925] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 ## [77936] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 ## [77947] 1.0 1.0 1.0 0.5 1.0 0.5 1.0 0.5 0.5 1.0 0.5 ## [77958] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 ## [77969] 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 ## [77980] 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [77991] 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [78002] 0.5 1.0 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 ## [78013] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [78024] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [78035] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [78046] 0.5 0.5 1.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 0.5 ## [78057] 0.5 1.0 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 ## [78068] 0.5 2.0 2.0 1.0 2.0 2.0 3.0 2.0 4.0 4.0 1.0 ## [78079] 4.0 3.0 3.0 2.0 2.0 2.0 3.0 3.0 3.0 1.0 2.0 ## [78090] 3.0 3.0 3.0 4.0 2.0 2.0 3.0 2.0 2.0 2.0 1.0 ## [78101] 3.0 3.0 1.0 2.0 1.0 3.0 3.0 2.0 2.0 6.0 1.0 ## [78112] 3.0 4.0 2.0 2.0 2.0 2.0 4.0 3.0 2.0 3.0 2.0 ## [78123] 2.0 2.0 2.0 2.0 4.0 2.0 2.0 3.0 4.0 2.0 2.0 ## [78134] 2.0 3.0 2.0 5.0 2.0 1.0 1.0 2.0 2.0 2.0 3.0 ## [78145] 3.0 4.0 2.0 2.0 5.0 6.0 3.0 3.0 3.0 2.0 4.0 ## [78156] 2.0 2.0 4.0 6.0 2.0 1.0 2.0 2.0 1.0 1.0 3.0 ## [78167] 2.0 5.0 2.0 3.0 1.0 3.0 2.0 3.0 3.0 3.0 3.0 ## [78178] 1.0 1.0 2.0 4.0 3.0 2.0 2.0 2.0 3.0 1.0 2.0 ## [78189] 2.0 1.0 3.0 2.0 6.0 4.0 5.0 3.0 1.0 1.0 3.0 ## [78200] 2.0 1.0 1.0 2.0 4.0 2.0 3.0 2.0 2.0 2.0 1.0 ## [78211] 2.0 1.0 2.0 1.0 4.0 2.0 1.0 2.0 4.0 2.0 9.0 ## [78222] 10.5 10.5 10.0 10.5 10.0 6.0 8.0 10.0 9.0 10.5 10.0 ## [78233] 10.5 10.0 10.5 8.0 10.5 10.0 10.5 10.5 10.5 10.0 10.0 ## [78244] 10.0 10.0 10.0 10.5 10.5 13.0 12.0 14.0 14.0 11.0 13.0 ## [78255] 14.0 22.0 23.0 30.0 27.0 18.0 23.0 27.0 29.0 35.0 34.0 ## [78266] 29.0 27.0 17.0 18.0 21.0 23.0 24.0 27.0 35.0 42.0 14.0 ## [78277] 15.0 24.0 14.0 27.0 25.0 24.0 28.0 42.0 30.0 43.0 22.0 ## [78288] 26.0 40.0 13.0 27.0 31.0 41.0 41.0 46.0 12.0 47.0 26.0 ## [78299] 38.0 18.0 19.0 23.0 16.0 14.0 23.0 27.0 13.0 18.0 14.0 ## [78310] 21.0 18.0 19.0 24.0 25.0 15.0 22.0 23.0 27.0 25.0 36.0 ## [78321] 33.0 38.0 43.0 15.0 34.0 46.0 40.0 13.0 15.0 17.0 19.0 ## [78332] 22.0 14.0 20.0 23.0 33.0 36.0 34.0 16.0 16.0 15.0 26.0 ## [78343] 27.0 14.0 29.0 25.0 45.0 46.0 17.0 16.0 12.0 15.0 18.0 ## [78354] 16.0 21.0 16.0 23.0 25.0 35.0 32.0 47.0 12.0 22.0 15.0 ## [78365] 13.0 20.0 38.0 20.0 30.0 23.0 18.0 34.0 26.0 22.0 20.0 ## [78376] 19.0 15.0 19.0 25.0 38.0 20.0 12.0 12.0 12.0 12.0 21.0 ## [78387] 22.0 23.0 21.0 29.0 44.0 13.0 22.0 12.0 15.0 13.0 18.0 ## [78398] 21.0 31.0 25.0 29.0 36.0 47.0 22.0 19.0 29.0 29.0 38.0 ## [78409] 36.0 18.0 46.0 26.0 39.0 14.0 18.0 17.0 30.0 37.0 22.0 ## [78420] 16.0 27.0 32.0 35.0 22.0 23.0 18.0 47.0 19.0 14.0 43.0 ## [78431] 14.0 12.0 14.0 16.0 19.0 27.0 44.0 18.0 15.0 30.0 37.0 ## [78442] 31.0 33.0 23.0 41.0 23.0 43.0 13.0 13.0 16.0 20.0 16.0 ## [78453] 11.0 17.0 20.0 15.0 16.0 34.0 17.0 17.0 25.0 13.0 13.0 ## [78464] 30.0 14.0 22.0 12.0 13.0 17.0 27.0 14.0 38.0 12.0 13.0 ## [78475] 27.0 33.0 13.0 20.0 19.0 28.0 14.0 37.0 41.0 39.0 12.0 ## [78486] 18.0 14.0 16.0 23.0 43.0 16.0 14.0 16.0 12.0 26.0 19.0 ## [78497] 19.0 21.0 14.0 34.0 32.0 15.0 45.0 34.0 22.0 32.0 22.0 ## [78508] 39.0 24.0 21.0 43.0 17.0 17.0 23.0 18.0 15.0 23.0 15.0 ## [78519] 19.0 22.0 40.0 19.0 43.0 12.0 21.0 15.0 29.0 15.0 22.0 ## [78530] 19.0 22.0 24.0 46.0 41.0 21.0 12.0 13.0 27.0 19.0 22.0 ## [78541] 18.0 15.0 17.0 27.0 11.0 21.0 26.0 23.0 45.0 12.0 17.0 ## [78552] 12.0 12.0 12.0 14.0 13.0 13.0 15.0 12.0 15.0 13.0 12.0 ## [78563] 13.0 13.0 12.0 13.0 12.0 13.0 13.0 12.0 12.0 12.0 12.0 ## [78574] 13.0 12.0 12.0 14.0 14.0 14.0 12.0 11.0 13.0 12.0 14.0 ## [78585] 12.0 12.0 12.0 12.0 12.0 12.0 12.0 16.0 13.0 11.0 13.0 ## [78596] 13.0 14.0 12.0 12.0 16.0 12.0 12.0 13.0 12.0 12.0 16.0 ## [78607] 13.0 12.0 15.0 13.0 12.0 16.0 16.0 11.0 14.0 13.0 18.0 ## [78618] 13.0 16.0 12.0 17.0 14.0 16.0 13.0 15.0 12.0 13.0 14.0 ## [78629] 14.0 17.0 19.0 18.0 24.0 14.0 13.0 15.0 22.0 20.0 19.0 ## [78640] 19.0 22.0 21.0 16.0 18.0 17.0 32.0 12.0 15.0 15.0 20.0 ## [78651] 19.0 34.0 35.0 18.0 19.0 12.0 16.0 14.0 14.0 21.0 21.0 ## [78662] 27.0 14.0 41.0 13.0 20.0 40.0 12.0 12.0 16.0 16.0 24.0 ## [78673] 20.0 16.0 35.0 21.0 21.0 21.0 15.0 25.0 24.0 26.0 34.0 ## [78684] 15.0 15.0 13.0 21.0 15.0 18.0 25.0 16.0 21.0 16.0 14.0 ## [78695] 13.0 17.0 13.0 21.0 22.0 26.0 30.0 42.0 17.0 20.0 21.0 ## [78706] 23.0 26.0 32.0 14.0 12.0 11.0 20.0 16.0 17.0 12.0 14.0 ## [78717] 15.0 12.0 22.0 22.0 20.0 23.0 19.0 21.0 24.0 25.0 28.0 ## [78728] 30.0 14.0 21.0 17.0 18.0 16.0 18.0 15.0 24.0 17.0 20.0 ## [78739] 12.0 15.0 13.0 13.0 14.0 20.0 12.0 20.0 20.0 19.0 16.0 ## [78750] 19.0 25.0 17.0 24.0 21.0 19.0 27.0 27.0 33.0 40.0 35.0 ## [78761] 41.0 14.0 21.0 15.0 23.0 16.0 15.0 18.0 34.0 29.0 27.0 ## [78772] 32.0 43.0 13.0 15.0 12.0 11.0 19.0 21.0 21.0 29.0 33.0 ## [78783] 32.0 29.0 33.0 36.0 42.0 17.0 24.0 17.0 24.0 12.0 14.0 ## [78794] 14.0 15.0 16.0 18.0 16.0 17.0 19.0 24.0 28.0 24.0 23.0 ## [78805] 30.0 23.0 32.0 31.0 32.0 47.0 18.0 27.0 21.0 19.0 32.0 ## [78816] 33.0 38.0 20.0 25.0 38.0 18.0 20.0 43.0 46.0 13.0 12.0 ## [78827] 14.0 16.0 14.0 16.0 19.0 19.0 16.0 19.0 32.0 23.0 20.0 ## [78838] 24.0 23.0 31.0 28.0 14.0 17.0 14.0 12.0 26.0 13.0 13.0 ## [78849] 17.0 16.0 23.0 27.0 24.0 22.0 24.0 25.0 22.0 22.0 28.0 ## [78860] 30.0 40.0 37.0 15.0 19.0 16.0 28.0 35.0 32.0 36.0 34.0 ## [78871] 33.0 39.0 38.0 15.0 18.0 14.0 15.0 22.0 26.0 33.0 23.0 ## [78882] 17.0 24.0 36.0 32.0 38.0 14.0 17.0 12.0 14.0 13.0 16.0 ## [78893] 18.0 26.0 29.0 36.0 48.0 12.0 17.0 19.0 26.0 23.0 28.0 ## [78904] 29.0 37.0 20.0 36.0 48.0 15.0 18.0 17.0 27.0 26.0 34.0 ## [78915] 15.0 31.0 43.0 14.0 13.0 31.0 18.0 15.0 18.0 20.0 22.0 ## [78926] 35.0 29.0 43.0 42.0 14.0 18.0 31.0 13.0 12.0 12.0 20.0 ## [78937] 19.0 18.0 18.0 18.0 23.0 21.0 23.0 24.0 25.0 21.0 28.0 ## [78948] 42.0 27.0 46.0 43.0 13.0 17.0 16.0 16.0 13.0 18.0 14.0 ## [78959] 22.0 20.0 40.0 32.0 27.0 31.0 19.0 31.0 31.0 41.0 39.0 ## [78970] 32.0 45.0 30.0 36.0 37.0 36.0 15.0 12.0 18.0 12.0 13.0 ## [78981] 14.0 16.0 16.0 22.0 21.0 61.0 62.0 77.0 52.0 63.0 58.0 ## [78992] 52.0 50.0 61.0 58.0 57.0 83.0 82.0 54.0 62.0 152.0 57.0 ## [79003] 55.0 70.0 50.0 59.0 94.0 138.0 54.0 305.0 64.0 59.0 84.0 ## [79014] 59.0 99.0 62.0 49.0 53.0 52.0 142.0 58.0 104.0 62.0 105.0 ## [79025] 49.0 107.0 63.0 51.0 76.0 50.0 83.0 112.0 49.0 94.0 56.0 ## [79036] 50.0 77.0 63.0 55.0 65.0 68.0 196.0 58.0 68.0 56.0 50.0 ## [79047] 109.0 73.0 50.0 52.0 54.0 107.0 51.0 83.0 64.0 70.0 55.0 ## [79058] 62.0 72.0 54.0 51.0 63.0 51.0 50.0 54.0 67.0 169.0 176.0 ## [79069] 3.0 4.0 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 ## [79080] 7.0 7.0 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 ## [79091] 9.0 7.0 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 ## [79102] 5.0 6.0 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 ## [79113] 6.0 5.0 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 ## [79124] 5.0 10.5 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 ## [79135] 4.0 5.0 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 ## [79146] 1.0 4.0 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 ## [79157] 10.5 9.0 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 ## [79168] 10.5 8.0 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 ## [79179] 10.0 0.5 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 ## [79190] 3.0 4.0 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 ## [79201] 3.0 5.0 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 ## [79212] 3.0 2.0 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 ## [79223] 2.0 4.0 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 ## [79234] 4.0 5.0 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 ## [79245] 4.0 4.0 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 ## [79256] 4.0 2.0 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 ## [79267] 3.0 4.0 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 ## [79278] 4.0 1.0 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 ## [79289] 3.0 2.0 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 ## [79300] 2.0 1.0 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 ## [79311] 4.0 4.0 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 ## [79322] 3.0 3.0 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 ## [79333] 4.0 5.0 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 ## [79344] 6.0 4.0 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 ## [79355] 2.0 3.0 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 ## [79366] 2.0 2.0 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 ## [79377] 2.0 3.0 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 ## [79388] 2.0 1.0 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 ## [79399] 1.0 4.0 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 ## [79410] 3.0 5.0 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 ## [79421] 1.0 4.0 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 ## [79432] 2.0 3.0 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 ## [79443] 3.0 6.0 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 ## [79454] 3.0 2.0 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 ## [79465] 4.0 3.0 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 ## [79476] 5.0 3.0 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 ## [79487] 4.0 2.0 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 ## [79498] 2.0 4.0 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 ## [79509] 2.0 5.0 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 ## [79520] 3.0 5.0 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 ## [79531] 2.0 2.0 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 ## [79542] 6.0 2.0 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 ## [79553] 2.0 3.0 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 ## [79564] 3.0 2.0 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 ## [79575] 3.0 4.0 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 ## [79586] 0.5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 ## [79597] 2.0 2.0 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 ## [79608] 1.0 0.5 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [79619] 1.0 1.0 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 ## [79630] 2.0 0.5 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 ## [79641] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 ## [79652] 0.5 1.0 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 ## [79663] 1.0 0.5 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 ## [79674] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 ## [79685] 1.0 2.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 ## [79696] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [79707] 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 ## [79718] 1.0 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 ## [79729] 0.5 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [79740] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 ## [79751] 0.5 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [79762] 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 ## [79773] 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 ## [79784] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 ## [79795] 6.0 10.5 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 ## [79806] 10.5 7.0 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 ## [79817] 10.5 8.0 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 ## [79828] 8.0 10.0 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 ## [79839] 7.0 7.0 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 ## [79850] 4.0 3.0 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 ## [79861] 4.0 7.0 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 ## [79872] 10.5 1.0 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 ## [79883] 6.0 0.5 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 ## [79894] 10.0 0.5 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 ## [79905] 0.5 6.0 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 ## [79916] 1.0 8.0 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 ## [79927] 9.0 7.0 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 ## [79938] 9.0 6.0 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 ## [79949] 9.0 10.0 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 ## [79960] 8.0 8.0 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 ## [79971] 8.0 9.0 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 ## [79982] 7.0 8.0 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 ## [79993] 8.0 0.5 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 ## [80004] 7.0 7.0 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 ## [80015] 5.0 6.0 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 ## [80026] 9.0 6.0 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 ## [80037] 10.0 9.0 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 ## [80048] 10.0 7.0 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 ## [80059] 10.0 1.0 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 ## [80070] 2.0 0.5 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 ## [80081] 6.0 6.0 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 ## [80092] 9.0 5.0 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 ## [80103] 5.0 7.0 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 ## [80114] 6.0 5.0 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 ## [80125] 5.0 6.0 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 ## [80136] 3.0 7.0 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 ## [80147] 5.0 10.0 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 ## [80158] 10.0 7.0 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 ## [80169] 6.0 6.0 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 ## [80180] 7.0 8.0 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 ## [80191] 4.0 4.0 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 ## [80202] 4.0 7.0 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 ## [80213] 7.0 9.0 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 ## [80224] 2.0 8.0 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 ## [80235] 6.0 5.0 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 ## [80246] 8.0 8.0 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 ## [80257] 6.0 10.0 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 ## [80268] 10.5 6.0 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 ## [80279] 8.0 1.0 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 ## [80290] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [80301] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [80312] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [80323] 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [80334] 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [80345] 1.0 0.5 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 ## [80356] 0.5 0.5 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 ## [80367] 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 ## [80378] 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [80389] 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [80400] 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 ## [80411] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 ## [80422] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [80433] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [80444] 1.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 ## [80455] 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 ## [80466] 2.0 1.0 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 ## [80477] 3.0 2.0 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 ## [80488] 3.0 4.0 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 ## [80499] 1.0 2.0 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 ## [80510] 2.0 2.0 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 ## [80521] 2.0 2.0 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 ## [80532] 2.0 5.0 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 ## [80543] 2.0 2.0 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 ## [80554] 4.0 6.0 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 ## [80565] 2.0 3.0 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 ## [80576] 2.0 4.0 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 ## [80587] 3.0 2.0 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 ## [80598] 1.0 2.0 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 ## [80609] 2.0 1.0 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 ## [80620] 10.0 10.5 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 ## [80631] 10.5 8.0 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 ## [80642] 10.0 10.5 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 ## [80653] 23.0 30.0 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 ## [80664] 17.0 18.0 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 ## [80675] 14.0 27.0 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 ## [80686] 13.0 27.0 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 ## [80697] 19.0 23.0 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 ## [80708] 19.0 24.0 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 ## [80719] 43.0 15.0 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 ## [80730] 20.0 23.0 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 ## [80741] 29.0 25.0 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 ## [80752] 16.0 23.0 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 ## [80763] 38.0 20.0 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 ## [80774] 19.0 25.0 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 ## [80785] 21.0 29.0 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 ## [80796] 25.0 29.0 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 ## [80807] 46.0 26.0 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 ## [80818] 32.0 35.0 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 ## [80829] 14.0 16.0 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 ## [80840] 23.0 41.0 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 ## [80851] 20.0 15.0 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 ## [80862] 22.0 12.0 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 ## [80873] 13.0 20.0 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 ## [80884] 16.0 23.0 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 ## [80895] 14.0 34.0 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 ## [80906] 21.0 43.0 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 ## [80917] 40.0 19.0 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 ## [80928] 24.0 46.0 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 ## [80939] 17.0 27.0 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 ## [80950] 12.0 14.0 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 ## [80961] 12.0 13.0 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 ## [80972] 12.0 14.0 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 ## [80983] 12.0 12.0 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 ## [80994] 12.0 12.0 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 ## [81005] 15.0 13.0 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 ## [81016] 12.0 17.0 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 ## [81027] 19.0 18.0 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 ## [81038] 21.0 16.0 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 ## [81049] 35.0 18.0 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 ## [81060] 41.0 13.0 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 ## [81071] 35.0 21.0 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 ## [81082] 13.0 21.0 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 ## [81093] 13.0 21.0 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 ## [81104] 32.0 14.0 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 ## [81115] 22.0 22.0 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 ## [81126] 21.0 17.0 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 ## [81137] 13.0 13.0 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 ## [81148] 17.0 24.0 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 ## [81159] 21.0 15.0 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 ## [81170] 13.0 15.0 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 ## [81181] 33.0 36.0 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 ## [81192] 16.0 18.0 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 ## [81203] 32.0 31.0 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 ## [81214] 20.0 25.0 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 ## [81225] 14.0 16.0 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 ## [81236] 31.0 28.0 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 ## [81247] 23.0 27.0 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 ## [81258] 37.0 15.0 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 ## [81269] 38.0 15.0 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 ## [81280] 36.0 32.0 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 ## [81291] 29.0 36.0 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 ## [81302] 20.0 36.0 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 ## [81313] 43.0 14.0 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 ## [81324] 43.0 42.0 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 ## [81335] 18.0 18.0 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 ## [81346] 46.0 43.0 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 ## [81357] 40.0 32.0 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 ## [81368] 30.0 36.0 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 ## [81379] 16.0 22.0 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 ## [81390] 61.0 58.0 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 ## [81401] 50.0 59.0 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 ## [81412] 62.0 49.0 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 ## [81423] 63.0 51.0 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 ## [81434] 63.0 55.0 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 ## [81445] 50.0 52.0 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 ## [81456] 54.0 51.0 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 ## [81467] 7.0 5.0 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 ## [81478] 4.0 7.0 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 ## [81489] 6.0 6.0 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 ## [81500] 5.0 6.0 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 ## [81511] 5.0 8.0 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 ## [81522] 6.0 10.0 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 ## [81533] 7.0 4.0 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 ## [81544] 7.0 4.0 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 ## [81555] 3.0 9.0 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 ## [81566] 0.5 9.0 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 ## [81577] 0.5 0.5 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 ## [81588] 2.0 3.0 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 ## [81599] 4.0 4.0 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 ## [81610] 4.0 3.0 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 ## [81621] 2.0 2.0 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 ## [81632] 4.0 3.0 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 ## [81643] 4.0 5.0 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 ## [81654] 3.0 5.0 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 ## [81665] 5.0 3.0 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 ## [81676] 3.0 2.0 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 ## [81687] 2.0 3.0 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 ## [81698] 2.0 2.0 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 ## [81709] 7.0 4.0 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 ## [81720] 5.0 3.0 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 ## [81731] 4.0 2.0 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 ## [81742] 2.0 1.0 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 ## [81753] 5.0 3.0 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 ## [81764] 2.0 2.0 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 ## [81775] 4.0 5.0 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 ## [81786] 2.0 2.0 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 ## [81797] 3.0 4.0 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 ## [81808] 2.0 1.0 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 ## [81819] 2.0 2.0 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 ## [81830] 2.0 3.0 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 ## [81841] 3.0 1.0 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 ## [81852] 2.0 3.0 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 ## [81863] 2.0 3.0 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 ## [81874] 3.0 5.0 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 ## [81885] 4.0 4.0 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 ## [81896] 3.0 2.0 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 ## [81907] 3.0 4.0 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 ## [81918] 4.0 5.0 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 ## [81929] 2.0 1.0 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 ## [81940] 3.0 4.0 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 ## [81951] 3.0 3.0 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 ## [81962] 3.0 5.0 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 ## [81973] 5.0 2.0 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 ## [81984] 1.0 1.0 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 ## [81995] 1.0 1.0 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 ## [82006] 0.5 2.0 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [82017] 1.0 0.5 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 ## [82028] 0.5 0.5 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 ## [82039] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [82050] 0.5 0.5 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 ## [82061] 1.0 2.0 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 ## [82072] 1.0 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 ## [82083] 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [82094] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [82105] 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 ## [82116] 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [82127] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [82138] 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 ## [82149] 0.5 0.5 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 ## [82160] 1.0 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 ## [82171] 1.0 2.0 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 ## [82182] 1.0 0.5 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 ## [82193] 9.0 6.0 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 ## [82204] 8.0 5.0 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 ## [82215] 9.0 9.0 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 ## [82226] 6.0 8.0 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 ## [82237] 7.0 6.0 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 ## [82248] 7.0 7.0 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 ## [82259] 1.0 9.0 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 ## [82270] 4.0 8.0 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 ## [82281] 5.0 5.0 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 ## [82292] 5.0 8.0 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 ## [82303] 7.0 8.0 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 ## [82314] 10.5 8.0 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 ## [82325] 8.0 5.0 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 ## [82336] 7.0 0.5 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 ## [82347] 0.5 8.0 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 ## [82358] 4.0 7.0 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 ## [82369] 5.0 5.0 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 ## [82380] 6.0 9.0 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 ## [82391] 10.0 7.0 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 ## [82402] 8.0 4.0 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 ## [82413] 9.0 7.0 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 ## [82424] 8.0 6.0 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 ## [82435] 4.0 0.5 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 ## [82446] 1.0 7.0 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 ## [82457] 7.0 7.0 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 ## [82468] 7.0 5.0 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 ## [82479] 10.0 5.0 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 ## [82490] 6.0 10.5 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 ## [82501] 7.0 0.5 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 ## [82512] 0.5 7.0 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 ## [82523] 6.0 6.0 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 ## [82534] 10.5 10.5 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 ## [82545] 7.0 5.0 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 ## [82556] 6.0 9.0 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 ## [82567] 8.0 1.0 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 ## [82578] 1.0 9.0 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 ## [82589] 1.0 9.0 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 ## [82600] 8.0 8.0 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 ## [82611] 7.0 10.0 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 ## [82622] 6.0 6.0 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 ## [82633] 4.0 10.0 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 ## [82644] 5.0 5.0 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 ## [82655] 6.0 8.0 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 ## [82666] 1.0 8.0 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 ## [82677] 7.0 6.0 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 ## [82688] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 ## [82699] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [82710] 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [82721] 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [82732] 1.0 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [82743] 1.0 0.5 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 ## [82754] 0.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [82765] 0.5 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 ## [82776] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 ## [82787] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 ## [82798] 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 ## [82809] 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 ## [82820] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [82831] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [82842] 1.0 0.5 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 ## [82853] 1.0 1.0 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 ## [82864] 2.0 2.0 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 ## [82875] 2.0 2.0 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 ## [82886] 2.0 2.0 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 ## [82897] 1.0 3.0 3.0 2.0 2.0 6.0 1.0 3.0 4.0 2.0 2.0 ## [82908] 2.0 2.0 4.0 3.0 2.0 3.0 2.0 2.0 2.0 2.0 2.0 ## [82919] 4.0 2.0 2.0 3.0 4.0 2.0 2.0 2.0 3.0 2.0 5.0 ## [82930] 2.0 1.0 1.0 2.0 2.0 2.0 3.0 3.0 4.0 2.0 2.0 ## [82941] 5.0 6.0 3.0 3.0 3.0 2.0 4.0 2.0 2.0 4.0 6.0 ## [82952] 2.0 1.0 2.0 2.0 1.0 1.0 3.0 2.0 5.0 2.0 3.0 ## [82963] 1.0 3.0 2.0 3.0 3.0 3.0 3.0 1.0 1.0 2.0 4.0 ## [82974] 3.0 2.0 2.0 2.0 3.0 1.0 2.0 2.0 1.0 3.0 2.0 ## [82985] 6.0 4.0 5.0 3.0 1.0 1.0 3.0 2.0 1.0 1.0 2.0 ## [82996] 4.0 2.0 3.0 2.0 2.0 2.0 1.0 2.0 1.0 2.0 1.0 ## [83007] 4.0 2.0 1.0 2.0 4.0 2.0 9.0 10.5 10.5 10.0 10.5 ## [83018] 10.0 6.0 8.0 10.0 9.0 10.5 10.0 10.5 10.0 10.5 8.0 ## [83029] 10.5 10.0 10.5 10.5 10.5 10.0 10.0 10.0 10.0 10.0 10.5 ## [83040] 10.5 13.0 12.0 14.0 14.0 11.0 13.0 14.0 22.0 23.0 30.0 ## [83051] 27.0 18.0 23.0 27.0 29.0 35.0 34.0 29.0 27.0 17.0 18.0 ## [83062] 21.0 23.0 24.0 27.0 35.0 42.0 14.0 15.0 24.0 14.0 27.0 ## [83073] 25.0 24.0 28.0 42.0 30.0 43.0 22.0 26.0 40.0 13.0 27.0 ## [83084] 31.0 41.0 41.0 46.0 12.0 47.0 26.0 38.0 18.0 19.0 23.0 ## [83095] 16.0 14.0 23.0 27.0 13.0 18.0 14.0 21.0 18.0 19.0 24.0 ## [83106] 25.0 15.0 22.0 23.0 27.0 25.0 36.0 33.0 38.0 43.0 15.0 ## [83117] 34.0 46.0 40.0 13.0 15.0 17.0 19.0 22.0 14.0 20.0 23.0 ## [83128] 33.0 36.0 34.0 16.0 16.0 15.0 26.0 27.0 14.0 29.0 25.0 ## [83139] 45.0 46.0 17.0 16.0 12.0 15.0 18.0 16.0 21.0 16.0 23.0 ## [83150] 25.0 35.0 32.0 47.0 12.0 22.0 15.0 13.0 20.0 38.0 20.0 ## [83161] 30.0 23.0 18.0 34.0 26.0 22.0 20.0 19.0 15.0 19.0 25.0 ## [83172] 38.0 20.0 12.0 12.0 12.0 12.0 21.0 22.0 23.0 21.0 29.0 ## [83183] 44.0 13.0 22.0 12.0 15.0 13.0 18.0 21.0 31.0 25.0 29.0 ## [83194] 36.0 47.0 22.0 19.0 29.0 29.0 38.0 36.0 18.0 46.0 26.0 ## [83205] 39.0 14.0 18.0 17.0 30.0 37.0 22.0 16.0 27.0 32.0 35.0 ## [83216] 22.0 23.0 18.0 47.0 19.0 14.0 43.0 14.0 12.0 14.0 16.0 ## [83227] 19.0 27.0 44.0 18.0 15.0 30.0 37.0 31.0 33.0 23.0 41.0 ## [83238] 23.0 43.0 13.0 13.0 16.0 20.0 16.0 11.0 17.0 20.0 15.0 ## [83249] 16.0 34.0 17.0 17.0 25.0 13.0 13.0 30.0 14.0 22.0 12.0 ## [83260] 13.0 17.0 27.0 14.0 38.0 12.0 13.0 27.0 33.0 13.0 20.0 ## [83271] 19.0 28.0 14.0 37.0 41.0 39.0 12.0 18.0 14.0 16.0 23.0 ## [83282] 43.0 16.0 14.0 16.0 12.0 26.0 19.0 19.0 21.0 14.0 34.0 ## [83293] 32.0 15.0 45.0 34.0 22.0 32.0 22.0 39.0 24.0 21.0 43.0 ## [83304] 17.0 17.0 23.0 18.0 15.0 23.0 15.0 19.0 22.0 40.0 19.0 ## [83315] 43.0 12.0 21.0 15.0 29.0 15.0 22.0 19.0 22.0 24.0 46.0 ## [83326] 41.0 21.0 12.0 13.0 27.0 19.0 22.0 18.0 15.0 17.0 27.0 ## [83337] 11.0 21.0 26.0 23.0 45.0 12.0 17.0 12.0 12.0 12.0 14.0 ## [83348] 13.0 13.0 15.0 12.0 15.0 13.0 12.0 13.0 13.0 12.0 13.0 ## [83359] 12.0 13.0 13.0 12.0 12.0 12.0 12.0 13.0 12.0 12.0 14.0 ## [83370] 14.0 14.0 12.0 11.0 13.0 12.0 14.0 12.0 12.0 12.0 12.0 ## [83381] 12.0 12.0 12.0 16.0 13.0 11.0 13.0 13.0 14.0 12.0 12.0 ## [83392] 16.0 12.0 12.0 13.0 12.0 12.0 16.0 13.0 12.0 15.0 13.0 ## [83403] 12.0 16.0 16.0 11.0 14.0 13.0 18.0 13.0 16.0 12.0 17.0 ## [83414] 14.0 16.0 13.0 15.0 12.0 13.0 14.0 14.0 17.0 19.0 18.0 ## [83425] 24.0 14.0 13.0 15.0 22.0 20.0 19.0 19.0 22.0 21.0 16.0 ## [83436] 18.0 17.0 32.0 12.0 15.0 15.0 20.0 19.0 34.0 35.0 18.0 ## [83447] 19.0 12.0 16.0 14.0 14.0 21.0 21.0 27.0 14.0 41.0 13.0 ## [83458] 20.0 40.0 12.0 12.0 16.0 16.0 24.0 20.0 16.0 35.0 21.0 ## [83469] 21.0 21.0 15.0 25.0 24.0 26.0 34.0 15.0 15.0 13.0 21.0 ## [83480] 15.0 18.0 25.0 16.0 21.0 16.0 14.0 13.0 17.0 13.0 21.0 ## [83491] 22.0 26.0 30.0 42.0 17.0 20.0 21.0 23.0 26.0 32.0 14.0 ## [83502] 12.0 11.0 20.0 16.0 17.0 12.0 14.0 15.0 12.0 22.0 22.0 ## [83513] 20.0 23.0 19.0 21.0 24.0 25.0 28.0 30.0 14.0 21.0 17.0 ## [83524] 18.0 16.0 18.0 15.0 24.0 17.0 20.0 12.0 15.0 13.0 13.0 ## [83535] 14.0 20.0 12.0 20.0 20.0 19.0 16.0 19.0 25.0 17.0 24.0 ## [83546] 21.0 19.0 27.0 27.0 33.0 40.0 35.0 41.0 14.0 21.0 15.0 ## [83557] 23.0 16.0 15.0 18.0 34.0 29.0 27.0 32.0 43.0 13.0 15.0 ## [83568] 12.0 11.0 19.0 21.0 21.0 29.0 33.0 32.0 29.0 33.0 36.0 ## [83579] 42.0 17.0 24.0 17.0 24.0 12.0 14.0 14.0 15.0 16.0 18.0 ## [83590] 16.0 17.0 19.0 24.0 28.0 24.0 23.0 30.0 23.0 32.0 31.0 ## [83601] 32.0 47.0 18.0 27.0 21.0 19.0 32.0 33.0 38.0 20.0 25.0 ## [83612] 38.0 18.0 20.0 43.0 46.0 13.0 12.0 14.0 16.0 14.0 16.0 ## [83623] 19.0 19.0 16.0 19.0 32.0 23.0 20.0 24.0 23.0 31.0 28.0 ## [83634] 14.0 17.0 14.0 12.0 26.0 13.0 13.0 17.0 16.0 23.0 27.0 ## [83645] 24.0 22.0 24.0 25.0 22.0 22.0 28.0 30.0 40.0 37.0 15.0 ## [83656] 19.0 16.0 28.0 35.0 32.0 36.0 34.0 33.0 39.0 38.0 15.0 ## [83667] 18.0 14.0 15.0 22.0 26.0 33.0 23.0 17.0 24.0 36.0 32.0 ## [83678] 38.0 14.0 17.0 12.0 14.0 13.0 16.0 18.0 26.0 29.0 36.0 ## [83689] 48.0 12.0 17.0 19.0 26.0 23.0 28.0 29.0 37.0 20.0 36.0 ## [83700] 48.0 15.0 18.0 17.0 27.0 26.0 34.0 15.0 31.0 43.0 14.0 ## [83711] 13.0 31.0 18.0 15.0 18.0 20.0 22.0 35.0 29.0 43.0 42.0 ## [83722] 14.0 18.0 31.0 13.0 12.0 12.0 20.0 19.0 18.0 18.0 18.0 ## [83733] 23.0 21.0 23.0 24.0 25.0 21.0 28.0 42.0 27.0 46.0 43.0 ## [83744] 13.0 17.0 16.0 16.0 13.0 18.0 14.0 22.0 20.0 40.0 32.0 ## [83755] 27.0 31.0 19.0 31.0 31.0 41.0 39.0 32.0 45.0 30.0 36.0 ## [83766] 37.0 36.0 15.0 12.0 18.0 12.0 13.0 14.0 16.0 16.0 22.0 ## [83777] 21.0 61.0 62.0 77.0 52.0 63.0 58.0 52.0 50.0 61.0 58.0 ## [83788] 57.0 83.0 82.0 54.0 62.0 152.0 57.0 55.0 70.0 50.0 59.0 ## [83799] 94.0 138.0 54.0 305.0 64.0 59.0 84.0 59.0 99.0 62.0 49.0 ## [83810] 53.0 52.0 142.0 58.0 104.0 62.0 105.0 49.0 107.0 63.0 51.0 ## [83821] 76.0 50.0 83.0 112.0 49.0 94.0 56.0 50.0 77.0 63.0 55.0 ## [83832] 65.0 68.0 196.0 58.0 68.0 56.0 50.0 109.0 73.0 50.0 52.0 ## [83843] 54.0 107.0 51.0 83.0 64.0 70.0 55.0 62.0 72.0 54.0 51.0 ## [83854] 63.0 51.0 50.0 54.0 67.0 169.0 176.0 3.0 4.0 7.0 5.0 ## [83865] 7.0 3.0 10.5 10.0 5.0 5.0 6.0 7.0 7.0 4.0 7.0 ## [83876] 5.0 4.0 5.0 5.0 7.0 8.0 6.0 9.0 7.0 6.0 6.0 ## [83887] 7.0 9.0 4.0 5.0 6.0 6.0 5.0 5.0 6.0 5.0 6.0 ## [83898] 9.0 5.0 10.5 5.0 8.0 8.0 5.0 6.0 5.0 5.0 8.0 ## [83909] 5.0 8.0 7.0 6.0 5.0 4.0 5.0 5.0 10.5 6.0 10.0 ## [83920] 8.0 5.0 9.0 5.0 10.0 5.0 7.0 4.0 5.0 7.0 4.0 ## [83931] 5.0 5.0 4.0 7.0 7.0 4.0 7.0 1.0 4.0 7.0 4.0 ## [83942] 2.0 2.0 10.5 10.5 9.0 10.5 10.5 10.5 9.0 3.0 9.0 ## [83953] 8.0 10.0 10.5 10.0 6.0 10.5 10.0 10.5 8.0 0.5 9.0 ## [83964] 8.0 6.0 0.5 9.0 0.5 8.0 1.0 10.0 0.5 0.5 0.5 ## [83975] 0.5 10.5 1.0 8.0 0.5 0.5 0.5 3.0 4.0 2.0 3.0 ## [83986] 2.0 3.0 3.0 4.0 1.0 2.0 4.0 3.0 5.0 4.0 4.0 ## [83997] 5.0 5.0 1.0 2.0 1.0 3.0 2.0 3.0 2.0 4.0 3.0 ## [84008] 4.0 5.0 6.0 6.0 0.5 4.0 4.0 2.0 4.0 2.0 2.0 ## [84019] 2.0 1.0 2.0 4.0 0.5 4.0 4.0 4.0 5.0 4.0 3.0 ## [84030] 2.0 3.0 4.0 2.0 0.5 4.0 2.0 4.0 4.0 4.0 5.0 ## [84041] 2.0 2.0 1.0 1.0 0.5 1.0 3.0 4.0 2.0 3.0 5.0 ## [84052] 4.0 5.0 4.0 2.0 0.5 2.0 1.0 3.0 4.0 5.0 3.0 ## [84063] 4.0 4.0 3.0 2.0 0.5 1.0 3.0 4.0 1.0 3.0 2.0 ## [84074] 3.0 4.0 6.0 5.0 1.0 1.0 6.0 3.0 2.0 2.0 3.0 ## [84085] 4.0 3.0 3.0 6.0 0.5 2.0 2.0 2.0 1.0 2.0 2.0 ## [84096] 2.0 2.0 3.0 3.0 0.5 3.0 5.0 4.0 4.0 7.0 4.0 ## [84107] 5.0 5.0 4.0 10.0 0.5 5.0 2.0 3.0 3.0 5.0 3.0 ## [84118] 2.0 4.0 4.0 1.0 0.5 3.0 3.0 4.0 5.0 4.0 2.0 ## [84129] 1.0 3.0 2.0 1.0 0.5 3.0 3.0 6.0 4.0 2.0 1.0 ## [84140] 2.0 4.0 3.0 3.0 0.5 1.0 2.0 2.0 3.0 5.0 3.0 ## [84151] 4.0 3.0 1.0 5.0 0.5 2.0 3.0 2.0 2.0 2.0 2.0 ## [84162] 1.0 4.0 5.0 2.0 0.5 1.0 2.0 2.0 3.0 4.0 5.0 ## [84173] 3.0 2.0 3.0 2.0 1.0 2.0 5.0 2.0 1.0 2.0 2.0 ## [84184] 2.0 1.0 6.0 4.0 1.0 5.0 5.0 1.0 4.0 3.0 4.0 ## [84195] 2.0 1.0 2.0 3.0 1.0 4.0 3.0 3.0 5.0 2.0 1.0 ## [84206] 2.0 1.0 3.0 4.0 0.5 3.0 4.0 1.0 4.0 2.0 2.0 ## [84217] 2.0 2.0 2.0 2.0 0.5 3.0 3.0 2.0 3.0 2.0 3.0 ## [84228] 4.0 3.0 1.0 2.0 0.5 3.0 4.0 3.0 6.0 3.0 1.0 ## [84239] 2.0 3.0 4.0 5.0 1.0 3.0 3.0 3.0 2.0 2.0 3.0 ## [84250] 2.0 4.0 4.0 2.0 0.5 3.0 2.0 4.0 3.0 2.0 3.0 ## [84261] 2.0 2.0 6.0 3.0 0.5 4.0 3.0 5.0 3.0 3.0 5.0 ## [84272] 2.0 2.0 3.0 3.0 1.0 1.0 4.0 4.0 2.0 4.0 4.0 ## [84283] 3.0 4.0 4.0 2.0 1.0 3.0 1.0 2.0 4.0 3.0 2.0 ## [84294] 3.0 4.0 4.0 2.0 1.0 3.0 3.0 2.0 5.0 3.0 4.0 ## [84305] 4.0 3.0 4.0 3.0 0.5 2.0 2.0 3.0 5.0 4.0 5.0 ## [84316] 2.0 2.0 3.0 4.0 0.5 3.0 2.0 2.0 2.0 2.0 1.0 ## [84327] 5.0 5.0 7.0 2.0 0.5 2.0 1.0 6.0 2.0 3.0 4.0 ## [84338] 2.0 2.0 3.0 3.0 1.0 2.0 2.0 2.0 3.0 3.0 3.0 ## [84349] 3.0 3.0 5.0 3.0 0.5 2.0 2.0 3.0 2.0 3.0 5.0 ## [84360] 3.0 2.0 2.0 2.0 0.5 2.0 2.0 3.0 4.0 5.0 2.0 ## [84371] 3.0 4.0 0.5 1.0 0.5 1.0 1.0 0.5 1.0 1.0 1.0 ## [84382] 1.0 1.0 1.0 1.0 0.5 2.0 1.0 2.0 2.0 1.0 1.0 ## [84393] 0.5 1.0 1.0 2.0 0.5 0.5 1.0 1.0 0.5 0.5 2.0 ## [84404] 0.5 0.5 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 ## [84415] 0.5 1.0 0.5 0.5 0.5 1.0 1.0 2.0 0.5 0.5 0.5 ## [84426] 0.5 2.0 0.5 0.5 0.5 1.0 0.5 1.0 1.0 0.5 0.5 ## [84437] 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 0.5 0.5 ## [84448] 0.5 2.0 1.0 1.0 0.5 1.0 1.0 1.0 0.5 1.0 2.0 ## [84459] 1.0 1.0 1.0 2.0 0.5 1.0 0.5 1.0 1.0 1.0 0.5 ## [84470] 1.0 1.0 0.5 1.0 0.5 1.0 1.0 1.0 2.0 1.0 0.5 ## [84481] 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ## [84492] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [84503] 1.0 0.5 0.5 0.5 1.0 1.0 0.5 1.0 0.5 0.5 1.0 ## [84514] 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 1.0 ## [84525] 1.0 1.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 ## [84536] 0.5 1.0 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [84547] 1.0 1.0 1.0 1.0 0.5 1.0 1.0 1.0 1.0 1.0 0.5 ## [84558] 1.0 1.0 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 2.0 ## [84569] 1.0 1.0 1.0 1.0 0.5 0.5 1.0 0.5 1.0 1.0 0.5 ## [84580] 0.5 0.5 1.0 1.0 0.5 4.0 9.0 6.0 10.5 9.0 6.0 ## [84591] 5.0 5.0 8.0 7.0 0.5 9.0 10.0 10.5 7.0 8.0 5.0 ## [84602] 4.0 6.0 6.0 6.0 0.5 8.0 6.0 10.5 8.0 9.0 9.0 ## [84613] 10.0 4.0 0.5 5.0 10.0 10.0 6.0 8.0 10.0 6.0 8.0 ## [84624] 7.0 7.0 1.0 8.0 7.0 7.0 9.0 7.0 7.0 7.0 6.0 ## [84635] 7.0 0.5 6.0 7.0 7.0 9.0 10.0 4.0 3.0 7.0 7.0 ## [84646] 1.0 9.0 5.0 6.0 5.0 7.0 6.0 4.0 7.0 1.0 9.0 ## [84657] 10.0 9.0 10.5 5.0 8.0 10.0 10.0 10.5 1.0 4.0 8.0 ## [84668] 6.0 7.0 9.0 10.0 8.0 10.5 3.0 6.0 0.5 5.0 5.0 ## [84679] 7.0 10.5 7.0 8.0 8.0 6.0 10.0 10.0 0.5 5.0 8.0 ## [84690] 8.0 8.0 10.0 3.0 10.0 6.0 5.0 0.5 6.0 7.0 8.0 ## [84701] 7.0 8.0 7.0 7.0 7.0 6.0 8.0 1.0 8.0 10.5 8.0 ## [84712] 10.0 6.0 4.0 9.0 8.0 10.5 1.0 9.0 7.0 8.0 5.0 ## [84723] 6.0 0.5 4.0 6.0 10.0 6.0 6.0 9.0 6.0 7.0 0.5 ## [84734] 8.0 7.0 9.0 8.0 9.0 10.5 10.0 9.0 10.0 0.5 8.0 ## [84745] 5.0 7.0 7.0 8.0 6.0 10.0 0.5 8.0 8.0 4.0 7.0 ## [84756] 7.0 10.0 7.0 0.5 8.0 5.0 6.0 8.0 9.0 5.0 5.0 ## [84767] 7.0 1.0 7.0 6.0 8.0 8.0 4.0 7.0 8.0 6.0 9.0 ## [84778] 0.5 10.5 10.0 10.0 7.0 10.0 10.5 8.0 0.5 10.0 7.0 ## [84789] 8.0 8.0 5.0 10.0 10.5 9.0 0.5 7.0 7.0 8.0 4.0 ## [84800] 6.0 7.0 10.0 7.0 1.0 10.0 10.0 5.0 6.0 9.0 7.0 ## [84811] 10.0 10.0 1.0 5.0 9.0 7.0 6.0 9.0 6.0 8.0 6.0 ## [84822] 1.0 9.0 5.0 6.0 6.0 5.0 9.0 10.0 9.0 4.0 0.5 ## [84833] 10.0 7.0 6.0 7.0 10.0 10.0 10.5 10.0 7.0 1.0 7.0 ## [84844] 7.0 9.0 9.0 10.0 9.0 10.5 6.0 10.0 1.0 7.0 7.0 ## [84855] 9.0 6.0 10.5 5.0 7.0 9.0 9.0 2.0 0.5 7.0 5.0 ## [84866] 6.0 8.0 10.5 7.0 10.5 1.0 5.0 6.0 6.0 10.0 5.0 ## [84877] 8.0 6.0 7.0 0.5 10.0 5.0 10.0 9.0 5.0 6.0 10.5 ## [84888] 1.0 8.0 6.0 6.0 8.0 8.0 8.0 5.0 7.0 7.0 0.5 ## [84899] 9.0 5.0 8.0 7.0 10.0 8.0 8.0 6.0 5.0 0.5 7.0 ## [84910] 10.0 5.0 5.0 5.0 8.0 4.0 0.5 5.0 6.0 6.0 6.0 ## [84921] 8.0 9.0 7.0 10.5 6.0 0.5 6.0 3.0 7.0 10.5 10.5 ## [84932] 9.0 9.0 4.0 7.0 6.0 0.5 8.0 5.0 10.0 7.0 5.0 ## [84943] 7.0 10.0 0.5 8.0 8.0 9.0 10.5 10.0 7.0 6.0 9.0 ## [84954] 0.5 8.0 5.0 5.0 8.0 8.0 7.0 6.0 6.0 8.0 1.0 ## [84965] 8.0 5.0 7.0 2.0 8.0 7.0 10.5 7.0 8.0 1.0 9.0 ## [84976] 7.0 9.0 9.0 9.0 6.0 9.0 7.0 4.0 4.0 1.0 9.0 ## [84987] 9.0 10.0 10.0 5.0 5.0 10.5 0.5 4.0 7.0 8.0 8.0 ## [84998] 9.0 9.0 7.0 8.0 7.0 7.0 0.5 7.0 9.0 7.0 10.0 ## [85009] 5.0 7.0 8.0 10.0 8.0 0.5 5.0 2.0 8.0 6.0 6.0 ## [85020] 6.0 8.0 8.0 0.5 8.0 7.0 9.0 6.0 5.0 4.0 10.0 ## [85031] 3.0 6.0 0.5 6.0 9.0 10.5 3.0 8.0 8.0 5.0 5.0 ## [85042] 6.0 0.5 9.0 9.0 6.0 9.0 7.0 6.0 10.0 6.0 8.0 ## [85053] 9.0 1.0 5.0 7.0 10.0 9.0 5.0 10.5 6.0 1.0 8.0 ## [85064] 10.5 10.5 5.0 6.0 5.0 7.0 8.0 8.0 1.0 7.0 6.0 ## [85075] 4.0 7.0 9.0 7.0 0.5 0.5 0.5 0.5 0.5 1.0 1.0 ## [85086] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 0.5 0.5 0.5 ## [85097] 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 0.5 ## [85108] 0.5 1.0 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 1.0 ## [85119] 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 ## [85130] 1.0 1.0 0.5 0.5 0.5 1.0 1.0 1.0 0.5 1.0 0.5 ## [85141] 1.0 0.5 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [85152] 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 ## [85163] 0.5 1.0 1.0 1.0 1.0 1.0 0.5 1.0 1.0 0.5 1.0 ## [85174] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 ## [85185] 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 1.0 1.0 ## [85196] 1.0 0.5 1.0 1.0 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [85207] 0.5 0.5 1.0 0.5 1.0 0.5 0.5 0.5 0.5 0.5 0.5 ## [85218] 0.5 0.5 0.5 0.5 0.5 1.0 1.0 0.5 0.5 0.5 0.5 ## [85229] 0.5 0.5 0.5 0.5 0.5 0.5 0.5 1.0 0.5 1.0 0.5 ## [85240] 1.0 1.0 1.0 0.5 0.5 0.5 1.0 0.5 0.5 1.0 1.0 ## [85251] 0.5 1.0 0.5 0.5 1.0 0.5 2.0 2.0 1.0 2.0 2.0 ## [85262] 3.0 2.0 4.0 4.0 1.0 4.0 3.0 3.0 2.0 2.0 2.0 ## [85273] 3.0 3.0 3.0 1.0 2.0 3.0 3.0 3.0 4.0 2.0 2.0 ## [85284] 3.0 2.0 2.0 2.0 1.0 3.0 3.0 1.0 2.0 1.0 3.0 ## [85295] 3.0 2.0
Para obtener una breve pero aclaratoria información sobre los datos se emplea desde el data frame los siguientes comandos
is(BigLucy)
## [1] "data.frame" "list" "oldClass" "vector"
?mean ??array
Pero como la gente sofisticada se usara el siguiente comando para conocer la estructura
str(BigLucy)
## 'data.frame': 85296 obs. of 11 variables: ## $ ID : Factor w/ 85296 levels "AB0000000001",..: 1 2 3 4 5 6 7 8 9 10 ... ## $ Ubication: Factor w/ 85296 levels "C0000002K0301895",..: 59853 3244 21997 25737 85074 72098 79248 41875 31357 56377 ... ## $ Level : Factor w/ 3 levels "Big","Medium",..: 3 3 3 3 3 3 3 3 3 3 ... ## $ Zone : Factor w/ 100 levels "County1","County10",..: 1 1 1 1 1 1 1 1 1 1 ... ## $ Income : int 281 329 405 360 391 296 490 473 350 361 ... ## $ Employees: int 41 19 68 89 91 89 22 57 84 25 ... ## $ Taxes : num 3 4 7 5 7 3 10.5 10 5 5 ... ## $ SPAM : Factor w/ 2 levels "no","yes": 1 2 1 1 2 1 2 2 2 1 ... ## $ ISO : Factor w/ 2 levels "no","yes": 1 1 1 1 1 1 2 1 1 1 ... ## $ Years : num 14 17.6 13.6 44.7 23.3 48.3 17 7.5 38.7 18.3 ... ## $ Segments : Factor w/ 8568 levels "County1 1","County1 10",..: 1 1 1 1 1 1 1 1 1 1 ...
Para conocer especificamente una variable dentro del data frame se usa
is(BigLucy$Taxes)
## [1] "numeric" "vector"
Algunas funciones de estadística básica
Promedio: mean()
Mediana : median()
Varianza: var()
Desviación estandar : sd()
Percentiles : quantile ()
Algunas partes de la estadistica descriptiva : summary ()
covarianza: cov(,)
Correlación: cor(,) –> Está es la más importante para ustedes
Calcular los valores de las siguientes expresiones \[ \frac{1}{\sqrt{10 \pi}}exp \begin{Bmatrix} - \frac{(8-3)^3}{6} \end{Bmatrix}\] Para diferentes valores en x calcule: \[f(x)= \sqrt{|x|+7}\]
Ahora trabajaremos con una nueva data frame y se realizara algunas descripciones precisas.
data("iris");names(iris)
## [1] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width" ## [5] "Species"
Está data frame es clásica en el mundo de la estadistica de resumén
Para poder acceder a las variables se usa el comando attach()
attach(iris)
- La estadística de resumen intenta responder y entender las propiedades de los datos.
- Algunas propiedades vienen dadas por : La estadistica descriptiva y la visualización de los datos
- Recuerde lo siguiente:
- Tendencia Central: Media, Mediana y Moda
- Dispersión : Variabilidad de los datos , varianza y desviación estandar.
La frecuencia puede definirse como el número de repeticiones que tiene un dato dentro de un atributo dado. En R se trabaja de la siguiente manera
table(iris$Species)# Observacion normal
## ## setosa versicolor virginica ## 50 50 50
table(iris$Species)/ length(iris$Species) # Manera porcentual
## ## setosa versicolor virginica ## 0.3333333 0.3333333 0.3333333
En R, la moda no existe, toca crearla y para ello se usara el siguiente algoritmo
my_mode<-function(var){
frec.var<-table(var)
valor<-which(frec.var==max(frec.var)) # Elementos con el valor
names(valor)
}
Ejemplo
vector<-c(1,2,3,4,1,32,7,3,5,7,2,5,7,93,5,67,2,5,7,2,3,6,7,2,1,5) my_mode(vector)
## [1] "2" "5" "7"
Las medidas de tendencias central tratan de resumir y describir los valores observados en un unico valor que posea representatividad. El promedio es el valor más usado para ello, pero hay que recordar que es una medida sensible
\[mean(x)=\bar x= \frac{1}{m}\sum_{i=1}^{m}x_i\]
- Una de las formas de atacar los problemas del promedio es truncarlo ( ojo solo en casos necesarios)
- En r se usa con la función mean, agregandole el comando trim
- Esto lo establece el criterio del investigador
mean(vector) #Más robusto
## [1] 10.92308
mean(vector, trim = 0.1)
## [1] 5.545455
La mediana representa una centralidad dentro de la variable de interés
median(vector)
## [1] 5
- El k-e ́simo percentil de una variable numeirca es un valor tal que el k % de las observaciones se encuentran debajo del percentil y el (100 − k ) % se encuentran sobre este valor.
*En estad ́ıstica se usan generalmente los cuantiles que son equivalentes a los percentiles expresados en fracciones en vez de porcentajes. En R se calculan con el comando quantile:
quantile(Sepal.Length,seq(0,1,0.01))
## 0% 1% 2% 3% 4% 5% 6% 7% 8% 9% 10% 11% ## 4.300 4.400 4.400 4.547 4.600 4.600 4.694 4.743 4.800 4.800 4.800 4.900 ## 12% 13% 14% 15% 16% 17% 18% 19% 20% 21% 22% 23% ## 4.900 4.900 4.900 5.000 5.000 5.000 5.000 5.000 5.000 5.029 5.100 5.100 ## 24% 25% 26% 27% 28% 29% 30% 31% 32% 33% 34% 35% ## 5.100 5.100 5.100 5.123 5.200 5.200 5.270 5.400 5.400 5.400 5.400 5.500 ## 36% 37% 38% 39% 40% 41% 42% 43% 44% 45% 46% 47% ## 5.500 5.500 5.500 5.511 5.600 5.600 5.600 5.607 5.700 5.700 5.700 5.700 ## 48% 49% 50% 51% 52% 53% 54% 55% 56% 57% 58% 59% ## 5.700 5.800 5.800 5.800 5.800 5.800 5.900 5.900 6.000 6.000 6.000 6.000 ## 60% 61% 62% 63% 64% 65% 66% 67% 68% 69% 70% 71% ## 6.100 6.100 6.100 6.100 6.200 6.200 6.234 6.300 6.300 6.300 6.300 6.300 ## 72% 73% 74% 75% 76% 77% 78% 79% 80% 81% 82% 83% ## 6.328 6.400 6.400 6.400 6.400 6.473 6.500 6.500 6.520 6.600 6.700 6.700 ## 84% 85% 86% 87% 88% 89% 90% 91% 92% 93% 94% 95% ## 6.700 6.700 6.700 6.763 6.800 6.861 6.900 6.900 7.008 7.157 7.200 7.255 ## 96% 97% 98% 99% 100% ## 7.408 7.653 7.700 7.700 7.900
quantile(Sepal.Length,seq(0,1,0.5))
## 0% 50% 100% ## 4.3 5.8 7.9
Antes se menciono que para ver algunas partes de la descriptiva del dataframe se usa el comando summary()
summary(iris)
## Sepal.Length Sepal.Width Petal.Length Petal.Width ## Min. :4.300 Min. :2.000 Min. :1.000 Min. :0.100 ## 1st Qu.:5.100 1st Qu.:2.800 1st Qu.:1.600 1st Qu.:0.300 ## Median :5.800 Median :3.000 Median :4.350 Median :1.300 ## Mean :5.843 Mean :3.057 Mean :3.758 Mean :1.199 ## 3rd Qu.:6.400 3rd Qu.:3.300 3rd Qu.:5.100 3rd Qu.:1.800 ## Max. :7.900 Max. :4.400 Max. :6.900 Max. :2.500 ## Species ## setosa :50 ## versicolor:50 ## virginica :50 ## ## ##
tapply(iris$Petal.Length,iris$Species,summary)
## $setosa ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 1.000 1.400 1.500 1.462 1.575 1.900 ## ## $versicolor ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 3.00 4.00 4.35 4.26 4.60 5.10 ## ## $virginica ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 4.500 5.100 5.550 5.552 5.875 6.900
tapply: Apply a function to each cell of a ragged array, that is to each (non-empty) group of values given by a unique combination of the levels of certain factors.
Para conocer el nivel de variación de los datos se suele usar la varianza y la desviación estandar \[var(x)= \frac{1}{m-1} \sum_{i=1}^{m} (x_i- \bar x)^2 \] \[ sd(x)= \sqrt {var (x)}\]
En R sería
var(iris$Sepal.Length)
## [1] 0.6856935
sd(iris$Sepal.Length)
## [1] 0.8280661
Una forma de contrastar los valores viene dada por la desviación media absoluta
mad(iris$Sepal.Length)
## [1] 1.03782
Para calcular el rango intercuartilico ( diferencia entre el tercer y primer cuartil) se usa
IQR(iris$Sepal.Length)
## [1] 1.3
La covarianza indica el grado de variación de una variable con respecto a otra \[ {\Large r}_{X_{j}X_{k}}=\frac{S_{X_{j}X_{k}}}{S_{X_{j}}S_{X_{k}}}% =\frac{Cov\left( X_{j},X_{k}\right) }{\sqrt{Cov\left( X_{j},X_{j}\right) }\sqrt{Cov\left( X_{k},X_{k}\right) }}% \]
la covarianza tiene la siguiente forma \[cov(x,y)=\frac{1}{m-1} \sum_{i=1}^{m} (x- \bar x) (y- \bar y)\]
En R la covarianza se examina de la siguiente manera
cov(x = iris$Sepal.Length,y = iris$Sepal.Width)
## [1] -0.042434
Para ver en forma de data frame el analísis de dependencia se realiza lo siguiente
cov(iris[,1:4])
## Sepal.Length Sepal.Width Petal.Length Petal.Width ## Sepal.Length 0.6856935 -0.0424340 1.2743154 0.5162707 ## Sepal.Width -0.0424340 0.1899794 -0.3296564 -0.1216394 ## Petal.Length 1.2743154 -0.3296564 3.1162779 1.2956094 ## Petal.Width 0.5162707 -0.1216394 1.2956094 0.5810063
Si dos variables son independientes entre si la covarianza será cero En el caso contrario podra tender a 1
Para medir la dependencia entre las variables sin importar la escala , se usa la regresión lineal \[r(x,y)=\frac{cov (x,y)}{sd(x) sd(y)}\]
En teoria "La correlacio ́n lineal var ́ıa entre −1 a 1. Un valor cercano a 1 indica que mientras una variable crece la otra tambie ́n lo hace en una proporcio ́n lineal. Un valor cercano a -1 indica una relacio ́n inversa (una crece la otra decrece). Si la correlacio ́n es cercana a cero tenemos independencia lineal. Ojo que eso no implica que no pueda haber una relacio ́n no-lineal entre las variables."Bravo (2013)
En R será
cor(iris[,1:4])
## Sepal.Length Sepal.Width Petal.Length Petal.Width ## Sepal.Length 1.0000000 -0.1175698 0.8717538 0.8179411 ## Sepal.Width -0.1175698 1.0000000 -0.4284401 -0.3661259 ## Petal.Length 0.8717538 -0.4284401 1.0000000 0.9628654 ## Petal.Width 0.8179411 -0.3661259 0.9628654 1.0000000
Una vieja confiable para analizar la información que disponemos son las tablas de contingencia, que según Bravo se implementa de la siguiente manera : " La tabla se llena con las frecuencias marginales de todos los pares de valores entre dos variables categóricas "
sexo<-c("Hombre","Hombre","Mujer","Hombre","Mujer","Mujer")
estudios<-c("universitario","secundario","secundario",
"postgrado","secundario","universitario")
## estudios ## sexo postgrado secundario universitario ## Hombre 1 1 1 ## Mujer 0 2 1