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Last active August 29, 2015 13:57
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1898 +0.08 -0.35 -2.46 -1.54 -1.10 -1.31 +0.14 -0.41 -1.21 -0.98 +0.16 +0.03
1899 -0.59 -0.30 -0.26 -0.45 +0.08 +0.16 -0.62 -1.33 -1.86 -2.43 -2.07 -0.10
1900 -2.12 -1.89 -1.86 -0.89 -0.52 -1.43 -1.74 -0.16 -0.25 -0.66 -0.33 -0.92
1901 +0.64 -2.01 -1.35 -0.06 -1.27 -1.08 -1.89 -0.80 -1.11 -0.24 -1.27 -1.88
1902 -1.53 -1.60 +0.20 -1.48 -1.32 -1.70 -2.38 -2.53 -0.78 -0.94 +0.43 +1.27
1903 +1.07 -0.19 +0.92 +0.33 -1.82 -1.54 -1.89 -1.08 +0.05 -1.18 -1.66 -2.21
1904 -1.93 -0.03 -0.99 -0.03 -1.24 +0.29 -0.14 -0.63 -1.62 -1.10 -2.32 -0.57
1905 +1.08 -2.22 -1.36 -2.25 -0.74 -0.66 -0.63 -2.87 -0.93 -0.67 -0.97 +0.80
1906 -1.70 -1.67 -1.12 -1.15 -1.02 -1.74 -0.79 -1.22 -1.51 -1.14 -2.11 -0.74
1907 -0.04 -2.03 -1.48 -0.95 -1.13 -1.81 -1.67 -0.39 -1.31 -1.29 -0.47 -2.05
1908 -1.04 -1.81 -1.54 -0.89 -1.82 -1.12 -2.03 -0.74 -2.15 -0.95 -2.37 -0.85
1909 -1.48 -1.93 -1.93 -0.30 -1.45 -0.60 -0.43 -0.68 -0.36 -1.94 -0.85 -1.67
1910 +0.59 -1.97 -2.02 -1.27 -1.08 -0.18 -1.01 -1.69 -1.47 -0.88 -1.24 -2.48
1911 -1.22 -0.34 -0.20 -0.92 -0.92 -0.32 -0.73 -1.45 -0.09 -1.42 +0.35 -1.16
1912 -0.96 +1.11 -0.29 -0.65 -1.46 -1.18 -1.18 -1.08 -2.10 -1.74 -2.41 -1.46
1913 -1.88 -1.11 -2.20 +0.22 -1.86 -1.36 -2.07 -2.23 -2.56 -1.51 -1.35 -1.18
1914 +0.36 -0.40 +1.03 -1.70 0.00 -0.19 +0.39 -0.55 -0.25 -1.14 +0.56 -0.52
1915 -0.93 -0.21 -1.80 -1.21 -2.38 +0.31 -0.72 -0.65 +0.09 +0.72 +0.13 -0.06
1916 +1.04 -0.17 -2.33 -0.91 -1.02 +1.36 -0.11 -0.17 +0.42 -0.31 +0.39 +0.12
1917 -1.82 -1.55 -1.72 -1.20 -2.10 -1.18 -0.02 -1.17 -0.22 -0.12 -2.69 -1.99
1918 -2.38 -1.15 -1.18 -1.28 -1.40 -0.70 -0.03 -0.81 -0.77 -0.68 -1.14 -1.59
1919 -1.22 -0.78 +0.02 -0.80 -1.19 -0.70 -0.58 -1.29 -0.75 -0.62 -0.08 -0.92
1920 +0.11 -1.31 -0.51 -0.78 -1.52 -0.30 +0.75 -0.52 -0.66 -0.84 +0.42 -0.94
1921 -0.24 -1.02 -1.88 +0.03 -1.26 -1.98 -0.43 -0.41 -0.98 -1.22 -2.42 -1.17
1922 -3.08 +1.31 -1.45 -0.32 -1.05 0.00 -0.05 +0.52 +0.16 -0.34 -0.88 -1.76
1923 -2.10 -1.50 +0.03 -1.09 -0.58 -1.24 -1.12 +0.35 -0.07 -0.80 -0.37 -0.68
1924 -0.72 -1.12 -3.33 +0.21 -1.31 -1.77 +1.27 -0.09 -0.99 -1.25 -1.73 -1.32
1925 -0.94 -2.31 -2.31 -1.89 -1.22 -0.24 -1.01 -0.26 -0.21 -0.71 +0.02 -0.20
1926 -1.21 -0.37 -1.44 -2.46 -1.30 -1.97 -0.83 -0.54 -0.13 -2.24 -1.57 -1.82
1927 -1.10 -2.43 -1.48 -0.90 -1.55 -0.86 +0.64 -0.33 -1.47 -0.84 -0.24 -0.64
1928 -0.37 -1.65 -1.00 -0.89 -0.04 -1.14 -0.34 -1.01 +0.89 -0.42 -0.18 -1.30
1929 -1.71 -2.09 -1.43 -1.32 -1.86 -0.74 +0.63 -0.09 -1.47 -0.64 -0.90 +1.15
1930 -1.31 +0.41 +0.59 +0.13 -0.44 -0.29 +0.89 +0.28 -1.09 -0.58 -1.62 -0.92
1931 -1.00 -1.94 -0.56 -1.68 -1.70 -1.24 -2.49 -0.18 -0.39 -1.10 0.00 -0.15
1932 +1.19 -1.01 -1.67 -1.53 -0.28 -0.82 -0.43 -0.71 -1.34 -1.31 -0.43 -0.24
1933 -1.41 -1.90 -2.38 -1.12 -0.08 +0.08 +1.35 +0.29 -0.50 -1.02 -0.69 -0.35
1934 -1.88 -1.35 -2.02 -1.86 -0.72 +0.20 -0.66 -0.95 -1.07 -1.86 -1.23 -0.26
1935 -0.54 +0.31 -0.44 -0.92 -1.10 -0.75 -0.62 -1.48 -1.36 -0.23 -0.51 -1.46
1936 -2.58 -2.13 -2.84 -1.69 -1.46 0.00 -0.57 -0.75 +0.42 -0.94 -0.77 +0.11
1937 +0.03 +0.91 -0.56 -0.70 -0.87 -1.20 +0.71 +0.33 -0.64 -0.66 -0.03 -1.75
1938 -1.31 -1.70 +0.28 -0.38 +0.42 -0.31 -0.29 -0.11 -0.65 -0.03 -1.25 -1.20
1939 -2.02 -1.45 -1.16 -1.02 -1.34 -0.52 +0.74 -0.38 +0.13 -0.12 +0.06 -1.06
1940 -1.90 -1.69 -0.98 -1.66 -1.02 -0.90 +0.33 -1.47 -1.28 -0.31 +0.48 +0.17
1941 +0.23 -0.63 -0.24 -1.30 -0.66 -0.52 -1.98 -1.81 -1.75 -1.13 +0.17 +0.16
1942 -1.62 -2.14 +1.13 -0.62 -1.40 -0.18 +1.38 -0.39 -0.21 -1.36 -1.39 -1.27
1943 -1.83 -1.55 -1.34 -2.10 -1.18 -0.44 +0.11 +0.17 +0.27 -0.56 -1.25 -0.62
1944 -1.33 -2.01 -2.08 -2.70 -0.52 -0.04 +0.26 -0.01 -0.50 -0.80 -0.58 -2.74
1945 -3.12 -3.17 -1.61 -0.84 -2.62 -1.12 -2.51 -0.43 -0.80 -0.58 -0.57 -1.69
1946 -0.62 -0.91 -1.64 +0.02 -1.38 +0.74 +0.52 +0.07 -0.31 -0.29 +0.88 -1.40
1947 -0.17 -2.66 -2.16 -1.42 -1.75 -2.16 0.00 -0.13 -0.43 -1.78 -1.84 -2.57
1948 -0.12 -0.40 -1.02 +0.06 -0.01 -0.18 +0.25 -0.23 -0.26 -0.20 -0.50 +1.63
1949 +0.88 +1.30 -1.94 -2.44 -0.01 -1.46 -0.71 -0.38 -0.36 -1.06 -1.16 -0.50
1950 +0.36 -0.17 -0.69 -0.42 +0.27 -0.48 +0.87 +0.11 -0.27 -1.38 -0.37 -1.26
1951 -1.24 -0.43 -0.83 -0.90 -0.60 -0.87 -1.08 +0.67 -1.90 -0.32 -0.81 +0.81
1952 -0.24 -1.90 -0.95 -0.50 -0.62 -0.47 -0.71 -0.67 -0.57 -0.84 0.00 -1.44
1953 -1.25 -1.24 +0.29 -1.66 -1.14 -0.70 -0.38 -0.95 -0.51 -0.24 -1.64 +0.60
1954 +0.43 +0.58 -0.72 +0.22 -0.52 -2.15 -2.16 -0.58 +0.21 -1.61 -0.07 +0.02
1955 -1.20 +0.32 +0.48 0.00 -0.89 +0.52 +1.49 -0.41 -0.67 -0.48 -1.29 +0.66
1956 -0.73 -1.26 -0.35 -0.58 -0.08 -0.21 -0.65 -1.83 -0.27 -0.02 -0.95 -1.98
1957 +0.34 -1.34 -2.14 -0.08 -0.84 -1.55 -0.57 -0.55 -1.97 -0.99 +0.20 +0.42
1958 -0.18 +0.35 -0.51 -0.06 -0.77 -0.17 -0.17 -0.98 -0.29 -1.12 -0.58 +1.04
1959 -0.96 +1.99 +0.81 +0.57 -0.08 -0.80 +0.21 -0.59 +0.18 -0.12 +0.12 +0.14
1960 -0.68 +0.70 +0.61 -1.23 -0.69 -0.62 +0.08 +0.17 +0.22 -0.55 +0.26 -0.92
1961 -1.70 -1.30 -0.21 +0.20 +0.50 +0.33 +1.28 +0.16 +1.47 +0.76 +0.55 +0.06
1962 -0.55 -0.31 -0.80 -0.32 -0.06 -0.64 +0.04 -0.31 +0.13 -1.01 -0.80 +0.12
1963 -2.23 -1.70 -0.91 -0.10 +0.59 -0.28 +0.05 -0.77 -1.39 -1.22 -0.29 +0.53
1964 +0.66 -1.83 -0.88 +1.62 +0.28 -0.82 -0.03 +0.13 -0.69 -0.88 -0.82 -0.26
1965 -0.13 -0.75 -2.10 -2.34 -0.80 -0.59 -1.02 -0.45 -1.46 -1.44 -0.07 -0.69
1966 -0.72 +0.65 +0.64 -0.55 -0.90 -1.28 -0.97 -0.12 -0.85 -0.08 -0.45 -1.78
1967 -1.49 -1.16 -0.06 0.00 +0.72 +0.06 +0.31 +0.37 -0.68 -0.92 -0.71 -2.12
1968 -0.58 -2.61 +0.05 -0.46 -1.04 -0.46 -0.38 -0.85 -1.05 -1.78 -0.07 +1.59
1969 -0.25 -0.50 -1.42 -0.28 -0.12 -1.08 -0.51 -0.79 -0.29 -1.32 -1.03 -1.87
1970 -1.66 -0.12 -3.34 -1.16 +0.44 -0.92 -0.01 -0.49 +0.36 -0.22 -0.80 -1.09
1971 -0.77 -0.56 -1.10 -0.60 -0.74 -0.20 +0.17 -0.89 -1.38 -1.37 -0.55 -0.14
1972 +1.42 +0.13 0.00 -0.30 -0.24 -0.20 -0.17 -0.56 -0.99 -0.19 -0.69 +0.10
1973 +0.93 +0.95 -1.13 +1.02 -0.34 -0.95 +0.46 +0.49 -0.91 -0.78 -1.29 -2.02
1974 -0.80 -0.98 -1.40 -0.14 -0.09 -0.77 -1.29 -0.68 -1.21 -0.57 -1.65 -1.35
1975 -0.73 -1.15 -1.00 +0.09 -0.73 -0.30 +0.02 -0.14 +0.83 -0.14 +0.08 -1.08
1976 -0.82 +0.99 -0.47 -0.72 -0.24 -0.62 -0.97 -1.56 -1.98 -1.06 -2.00 -1.03
1977 -2.58 -2.43 -0.11 -0.24 -0.56 -0.43 +0.63 -1.23 +0.21 +0.22 +0.93 +0.70
1978 -0.24 -2.31 -0.90 -0.64 +0.02 +0.71 +1.92 +0.66 -0.33 -0.90 -0.41 +0.48
1979 +0.67 +1.62 -0.24 -0.94 -1.09 +1.19 -0.66 +0.07 -0.06 +0.54 +0.18 +1.11
1980 -0.22 -1.74 -0.50 -1.16 -0.06 +0.86 -1.40 -2.56 -1.02 -0.56 -0.02 -0.98
1981 -1.76 -0.94 -0.51 -0.38 -1.46 -1.14 +0.49 -0.85 -1.59 -0.97 -2.12 -0.57
1982 -0.54 -0.89 +0.42 -0.81 +0.80 -0.78 -1.40 -0.59 -1.10 -0.28 +0.85 +0.39
1983 +0.23 -1.14 -0.63 +1.74 +0.24 -1.62 -1.42 +0.03 0.00 -0.84 -1.08 -1.44
1984 -1.82 -2.79 -2.86 -1.85 -1.37 +0.64 +0.71 +0.63 -0.63 -1.14 -0.45 -0.90
1985 -2.11 +0.20 -0.26 -0.12 +0.20 -0.96 +0.01 +1.01 -0.07 -0.24 -0.56 -1.60
1986 -1.86 -2.43 -1.22 -0.33 -0.61 -0.79 -1.44 -0.15 -0.15 -1.81 -1.03 +0.38
1987 -0.22 +0.03 -0.06 -0.40 -0.10 +0.01 +0.17 -0.68 -0.69 +0.48 -0.09 -0.03
1988 +0.87 -1.31 -0.72 -0.50 -0.58 +0.01 -1.65 -0.33 -0.30 -0.86 -1.95 -0.49
1989 +1.84 +1.37 +0.53 +0.22 -0.54 -1.08 -0.38 -0.17 +0.10 -0.74 +0.57 +0.18
1990 -0.64 +2.33 +1.10 +0.08 +0.08 +1.00 +0.68 +0.73 +0.61 +0.34 +1.65 +1.38
1991 +0.71 -0.30 +0.58 +0.70 +0.25 +1.49 +0.13 -1.03 +0.23 0.00 -0.47 +0.66
1992 +1.03 +0.24 +0.77 +0.24 -1.04 -1.02 -0.16 -0.65 -0.76 -0.48 -0.15 +0.70
1993 +1.08 +1.03 -0.52 -1.02 -0.80 -0.72 -1.74 -2.15 -1.25 -1.03 +0.79 +0.10
1994 -0.06 +0.23 -1.12 +0.70 +0.86 +0.06 +1.74 +1.58 +0.71 +0.86 +0.70 +0.51
1995 -0.09 -0.11 -0.02 +0.01 0.00 -1.16 +0.38 +0.65 -0.75 +0.66 -0.93 -0.96
1996 -0.08 -0.88 -0.40 -2.04 -1.02 -0.01 -0.01 -0.82 -0.79 -0.40 +0.03 +0.01
1997 +0.22 +0.13 +0.69 +0.25 +0.14 -0.12 +0.20 -0.69 -0.77 -0.81 +1.09 +0.80
1998 -0.22 +0.87 +0.90 +2.14 +1.64 -0.20 +0.21 +0.09 +0.93 +1.68 +0.13 +0.84
1999 +0.54 -0.17 +0.77 -0.01 +0.37 +0.68 +0.07 +0.93 +1.72 +0.77 +0.49 -0.22
2000 +1.20 -1.08 -0.46 -0.42 +0.49 +0.33 +1.33 +0.74 +0.53 +0.57 +0.31 -0.20
2001 -0.88 -0.53 -0.19 +0.62 +0.65 +0.68 +1.17 -0.43 -0.57 +0.23 -0.40 -0.95
2002 +0.98 +1.23 +1.87 +1.68 +0.38 +0.03 +0.67 -0.33 -0.16 -0.08 -2.04 -0.72
2003 -0.57 +0.17 -0.62 +0.68 +0.32 +0.30 -1.99 -0.97 +0.25 -0.57 +1.69 +0.60
2004 +0.10 +1.21 +0.31 +0.64 +1.08 +1.08 +1.43 0.00 +0.67 +0.03 +1.67 +0.99
2005 -0.01 -0.49 -0.76 +0.40 -0.84 +1.18 -0.11 +0.43 +1.02 +1.12 +0.19 -2.31
2006 -0.42 +0.45 -0.14 -1.06 +0.37 +0.10 -0.17 +1.07 -0.15 +0.76 +1.03 +0.58
2007 +1.25 +1.93 +0.52 -0.51 +0.18 +0.89 -0.89 +1.00 +1.49 +0.81 -0.13 +0.74
2008 +0.02 -1.06 +1.00 +0.28 -0.06 -0.34 +1.07 -0.23 +0.37 +0.91 -0.05 +0.77
2009 +0.70 +1.72 +0.75 +0.31 +0.71 +0.34 -0.36 -0.77 -0.36 +0.20 +0.31 +0.07
2010 +0.57 +0.98 +0.24 -1.29 -0.40 +1.05 +1.22 +1.97 +1.48 +0.83 0.00 +0.65
2011 -1.64 +0.77 -1.26 -0.66 -0.28 +1.03 +0.94 +0.57 +0.89 +0.44 +1.55 -0.75
2012 -0.67 -1.21 -0.10 +0.11 +0.13 -0.20 +0.67 +1.07 +1.83 +0.54 -0.30 -1.37
2013 -0.90 -0.21 +1.13 -0.61 -0.24 +0.86 +1.32 +1.10 +0.59 +1.37 -0.11 -0.18
2014 +0.03
import sys
import csv
import numpy as np
import pystan
model0="""
//no month variable
data{
int<lower=1> N;
real<lower=-5,upper=5> X[N];
}
parameters {
real trend[N];
real<lower=-10,upper=10> c_ar[2];
real<lower=-10,upper=10> ar[N];
real<lower=0,upper=10> s_trend;
real<lower=0,upper=10> s_ar;
real<lower=0,upper=10> s_tot;
}
//initial
model{
real m[N];
for(i in 3:N)
trend[i]~normal(2*trend[i-1]-trend[i-2],s_trend);
for(i in 3:N)
ar[i] ~ normal(c_ar[1]*ar[i-1] + c_ar[2]*ar[i-2], s_ar);
for(i in 1:N)
m[i]<-trend[i]+ar[i];
for(i in 1:N)
X[i]~normal(m[i],s_tot);
}
"""
model1="""
//with month variable
data{
int<lower=1> N;
real<lower=-5,upper=5> X[N];
}
parameters {
real trend[N];
real mm[N];//month
real<lower=-10,upper=10> c_ar[2];
real<lower=-10,upper=10> ar[N];
real<lower=0,upper=10> s_trend;
real<lower=0,upper=10> s_ar;
real<lower=0,upper=10> s_mm;
real<lower=0,upper=10> s_tot;
}
//initial
model{
real m[N];
for(i in 3:N)
trend[i]~normal(2*trend[i-1]-trend[i-2],s_trend);
for(i in 3:N)
ar[i] ~ normal(c_ar[1]*ar[i-1] + c_ar[2]*ar[i-2], s_ar);
for(i in 12:N)
mm[i]~normal(-mm[i-1]-mm[i-2]-mm[i-3]-mm[i-4]-mm[i-5]-mm[i-6]-mm[i-7]-mm[i-8]-mm[i-9]-mm[i-10]-mm[i-11],s_mm);
for(i in 1:N)
m[i]<-trend[i]+mm[i]+ar[i];
for(i in 1:N)
X[i]~normal(m[i],s_tot);
}
"""
model2="""
//obsolete
data{
int<lower=1> N;
real<lower=-5,upper=5> X[N];
}
parameters {
real trend[N];
real mm[N];//month
real<lower=-10,upper=10> c_ar[N];
real<lower=-10,upper=10> ar[N];
real<lower=0,upper=10> s_trend;
real<lower=0,upper=10> s_ar;
real<lower=0,upper=10> s_mm;
real<lower=0,upper=10> s_tot;
}
//initial
model{
real m[N];
for(i in 3:N)
trend[i]~normal(2*trend[i-1]-trend[i-2],s_trend);
for(i in 3:N)
ar[i] ~ normal(c_ar[i]*ar[i-1] + c_ar[i]*ar[i-2], s_ar);
for(i in 12:N)
mm[i]~normal(-mm[i-1]-mm[i-2]-mm[i-3]-mm[i-4]-mm[i-5]-mm[i-6]-mm[i-7]-mm[i-8]-mm[i-9]-mm[i-10]-mm[i-11],s_mm);
for(i in 1:N)
m[i]<-trend[i]+mm[i]+ar[i];
for(i in 1:N)
X[i]~normal(m[i],s_tot);
}
"""
models={"model0":model0,"model1":model1,"model2":model2}
modelname="model0"
itenum=100
#fromN=1898
fromN=1973
toN=2013
argv=sys.argv
if(len(argv)>1): modelname=argv[1]
if(len(argv)>2): itenum=int(argv[2])
if(len(argv)>3): fromN=int(argv[3])
if(len(argv)>4): toN=int(argv[4])
rd=csv.reader(open('kion_hensa.csv'),delimiter=',')
d=[]
for r in rd:
if(float(r[0])<=toN and float(r[0])>=fromN):
for c in r:
if(c!= "" and float(c)<1000):
d.append(float(c))
N=len(d)
print "the model is "+modelname
print fromN,toN,N
print "run stan"
from pystan import StanModel
md=StanModel(model_code=models[modelname])
fit=md.sampling(data={
'N':N,
'X':d,
},
iter=itenum,chains=1)
#summary=fit.summary()
#result=fit.extract()
fname="kion_hensa_"+modelname+"_"+str(itenum)+"from"+str(fromN)+"to"+str(toN)
with open("meanv_"+fname+".log",'w') as f:
print >>f, fit.get_posterior_mean()
from scipy.stats.mstats import mquantiles
qtop=0.975
qmean=0.5
qbuttom=0.25
qq=str(qtop)+"_"+str(qmean)+"_"+str(qbuttom)
for v in fit.extract().keys():
print v
ff=fit.extract(v)[v]
if(ff.ndim>1):
result=zip(*ff)
else:
result=[ff]
with open(v+"_"+"quantile_"+qq+"_"+fname+".log",'w') as f:
for s in result:
q=mquantiles(s,[qtop,qmean,qbuttom])
for i in q:
print >>f, i+","
print >>f ,"\n"
# print(fit)
with open("summary_"+fname+".log",'w') as f:
print >>f, fit
//no month variable
data{
int<lower=1> N;
real<lower=-5,upper=5> X[N];
}
parameters {
real trend[N];
real<lower=-10,upper=10> c_ar[2];
real<lower=-10,upper=10> ar[N];
real<lower=0,upper=10> s_trend;
real<lower=0,upper=10> s_ar;
real<lower=0,upper=10> s_tot;
}
//initial
model{
real m[N];
for(i in 3:N)
trend[i]~normal(2*trend[i-1]-trend[i-2],s_trend);
for(i in 3:N)
ar[i] ~ normal(c_ar[1]*ar[i-1] + c_ar[2]*ar[i-2], s_ar);
for(i in 1:N)
m[i]<-trend[i]+ar[i];
for(i in 1:N)
X[i]~normal(m[i],s_tot);
}
//with month variable
data{
int<lower=1> N;
real<lower=-5,upper=5> X[N];
}
parameters {
real trend[N];
real mm[N];//month
real<lower=-10,upper=10> c_ar[2];
real<lower=-10,upper=10> ar[N];
real<lower=0,upper=10> s_trend;
real<lower=0,upper=10> s_ar;
real<lower=0,upper=10> s_mm;
real<lower=0,upper=10> s_tot;
}
//initial
model{
real m[N];
for(i in 3:N)
trend[i]~normal(2*trend[i-1]-trend[i-2],s_trend);
for(i in 3:N)
ar[i] ~ normal(c_ar[1]*ar[i-1] + c_ar[2]*ar[i-2], s_ar);
for(i in 12:N)
mm[i]~normal(-mm[i-1]-mm[i-2]-mm[i-3]-mm[i-4]-mm[i-5]-mm[i-6]-mm[i-7]-mm[i-8]-mm[i-9]-mm[i-10]-mm[i-11],s_mm);
for(i in 1:N)
m[i]<-trend[i]+mm[i]+ar[i];
for(i in 1:N)
X[i]~normal(m[i],s_tot);
}
//obsolete
data{
int<lower=1> N;
real<lower=-5,upper=5> X[N];
}
parameters {
real trend[N];
real mm[N];//month
real<lower=-10,upper=10> c_ar[N];
real<lower=-10,upper=10> ar[N];
real<lower=0,upper=10> s_trend;
real<lower=0,upper=10> s_ar;
real<lower=0,upper=10> s_mm;
real<lower=0,upper=10> s_tot;
}
//initial
model{
real m[N];
for(i in 3:N)
trend[i]~normal(2*trend[i-1]-trend[i-2],s_trend);
for(i in 3:N)
ar[i] ~ normal(c_ar[i]*ar[i-1] + c_ar[i]*ar[i-2], s_ar);
for(i in 12:N)
mm[i]~normal(-mm[i-1]-mm[i-2]-mm[i-3]-mm[i-4]-mm[i-5]-mm[i-6]-mm[i-7]-mm[i-8]-mm[i-9]-mm[i-10]-mm[i-11],s_mm);
for(i in 1:N)
m[i]<-trend[i]+mm[i]+ar[i];
for(i in 1:N)
X[i]~normal(m[i],s_tot);
}
Inference for Stan model: anon_model_0ab4bed12286d6ea28419117e4eb6988.
1 chains, each with iter=2000; warmup=1000; thin=1;
post-warmup draws per chain=1000, total post-warmup draws=1000.
mean se_mean sd 2.5% 25% 50% 75% 97.5% n_eff Rhat
trend[0] -0.8 0.1 0.3 -1.4 -1.0 -0.7 -0.6 -0.4 9.0 1.0
trend[1] -0.8 0.1 0.3 -1.4 -0.9 -0.7 -0.6 -0.4 9.0 1.0
trend[2] -0.8 0.1 0.3 -1.3 -0.9 -0.7 -0.6 -0.4 9.0 1.0
trend[3] -0.8 0.1 0.3 -1.3 -0.9 -0.7 -0.6 -0.4 9.0 1.0
trend[4] -0.8 0.1 0.3 -1.3 -0.9 -0.7 -0.6 -0.4 9.0 1.0
trend[5] -0.8 0.1 0.3 -1.3 -0.9 -0.7 -0.6 -0.4 8.0 1.0
trend[6] -0.8 0.1 0.2 -1.3 -0.9 -0.7 -0.6 -0.4 8.0 1.0
trend[7] -0.8 0.1 0.2 -1.2 -0.9 -0.7 -0.6 -0.4 8.0 1.0
trend[8] -0.8 0.1 0.2 -1.2 -0.9 -0.7 -0.6 -0.4 8.0 1.0
trend[9] -0.7 0.1 0.2 -1.2 -0.9 -0.7 -0.6 -0.4 8.0 1.0
trend[10] -0.7 0.1 0.2 -1.2 -0.9 -0.7 -0.6 -0.4 8.0 1.0
trend[11] -0.7 0.1 0.2 -1.2 -0.9 -0.7 -0.6 -0.4 8.0 1.0
trend[12] -0.7 0.1 0.2 -1.2 -0.9 -0.7 -0.6 -0.4 8.0 1.0
trend[13] -0.7 0.1 0.2 -1.2 -0.9 -0.7 -0.6 -0.4 8.0 1.0
trend[14] -0.7 0.1 0.2 -1.2 -0.9 -0.7 -0.6 -0.4 8.0 1.0
trend[15] -0.7 0.1 0.2 -1.2 -0.9 -0.7 -0.6 -0.4 8.0 1.0
trend[16] -0.7 0.1 0.2 -1.1 -0.9 -0.7 -0.6 -0.4 9.0 1.0
trend[17] -0.7 0.1 0.2 -1.1 -0.8 -0.7 -0.6 -0.4 9.0 1.0
trend[18] -0.7 0.1 0.2 -1.1 -0.8 -0.7 -0.6 -0.4 9.0 1.0
trend[19] -0.7 0.1 0.2 -1.1 -0.8 -0.7 -0.6 -0.4 9.0 1.0
trend[20] -0.7 0.1 0.2 -1.1 -0.8 -0.7 -0.6 -0.4 9.0 1.0
trend[21] -0.7 0.1 0.2 -1.1 -0.8 -0.7 -0.6 -0.4 9.0 1.0
trend[22] -0.7 0.1 0.2 -1.1 -0.8 -0.7 -0.6 -0.4 9.0 1.0
trend[23] -0.7 0.1 0.2 -1.1 -0.8 -0.7 -0.6 -0.4 9.0 1.0
trend[24] -0.7 0.1 0.2 -1.1 -0.8 -0.6 -0.6 -0.4 9.0 1.0
trend[25] -0.7 0.1 0.2 -1.1 -0.8 -0.6 -0.6 -0.4 9.0 1.0
trend[26] -0.7 0.1 0.2 -1.1 -0.8 -0.6 -0.6 -0.4 9.0 1.0
trend[27] -0.7 0.1 0.2 -1.0 -0.8 -0.6 -0.6 -0.4 9.0 1.0
trend[28] -0.7 0.1 0.2 -1.0 -0.8 -0.6 -0.6 -0.4 9.0 1.0
trend[29] -0.7 0.1 0.2 -1.0 -0.8 -0.6 -0.6 -0.4 9.0 1.0
trend[30] -0.7 0.1 0.2 -1.0 -0.8 -0.6 -0.6 -0.4 9.0 1.0
trend[31] -0.7 0.0 0.2 -1.0 -0.8 -0.6 -0.6 -0.4 10.0 1.0
trend[32] -0.7 0.0 0.1 -1.0 -0.8 -0.6 -0.6 -0.4 10.0 1.0
trend[33] -0.7 0.0 0.1 -1.0 -0.8 -0.6 -0.6 -0.4 10.0 1.0
trend[34] -0.7 0.0 0.1 -1.0 -0.7 -0.6 -0.6 -0.4 10.0 1.0
trend[35] -0.7 0.0 0.1 -1.0 -0.7 -0.6 -0.6 -0.4 10.0 1.0
trend[36] -0.7 0.0 0.1 -1.0 -0.7 -0.6 -0.6 -0.4 10.0 1.0
trend[37] -0.6 0.0 0.1 -1.0 -0.7 -0.6 -0.6 -0.4 10.0 1.0
trend[38] -0.6 0.0 0.1 -1.0 -0.7 -0.6 -0.6 -0.4 10.0 1.0
trend[39] -0.6 0.0 0.1 -1.0 -0.7 -0.6 -0.6 -0.4 10.0 1.0
trend[40] -0.6 0.0 0.1 -1.0 -0.7 -0.6 -0.6 -0.4 10.0 1.0
trend[41] -0.6 0.0 0.1 -1.0 -0.7 -0.6 -0.5 -0.4 10.0 1.0
trend[42] -0.6 0.0 0.1 -1.0 -0.7 -0.6 -0.5 -0.4 10.0 1.0
trend[43] -0.6 0.0 0.1 -1.0 -0.7 -0.6 -0.5 -0.4 10.0 1.0
trend[44] -0.6 0.0 0.1 -0.9 -0.7 -0.6 -0.5 -0.4 10.0 1.0
trend[45] -0.6 0.0 0.1 -0.9 -0.7 -0.6 -0.5 -0.4 10.0 1.0
trend[46] -0.6 0.0 0.1 -0.9 -0.7 -0.6 -0.5 -0.4 11.0 1.0
trend[47] -0.6 0.0 0.1 -0.9 -0.7 -0.6 -0.5 -0.4 11.0 1.0
trend[48] -0.6 0.0 0.1 -0.9 -0.7 -0.6 -0.5 -0.4 11.0 1.0
trend[49] -0.6 0.0 0.1 -0.9 -0.7 -0.6 -0.5 -0.4 11.0 1.0
trend[50] -0.6 0.0 0.1 -0.9 -0.7 -0.6 -0.5 -0.4 11.0 1.0
trend[51] -0.6 0.0 0.1 -0.9 -0.7 -0.6 -0.5 -0.4 11.0 1.0
trend[52] -0.6 0.0 0.1 -0.9 -0.7 -0.6 -0.5 -0.4 11.0 1.0
trend[53] -0.6 0.0 0.1 -0.9 -0.7 -0.6 -0.5 -0.4 11.0 1.1
trend[54] -0.6 0.0 0.1 -0.9 -0.6 -0.6 -0.5 -0.4 11.0 1.1
trend[55] -0.6 0.0 0.1 -0.9 -0.6 -0.6 -0.5 -0.4 11.0 1.1
trend[56] -0.6 0.0 0.1 -0.9 -0.6 -0.6 -0.5 -0.4 11.0 1.1
trend[57] -0.6 0.0 0.1 -0.9 -0.6 -0.6 -0.5 -0.4 11.0 1.1
trend[58] -0.6 0.0 0.1 -0.9 -0.6 -0.6 -0.5 -0.4 11.0 1.1
trend[59] -0.6 0.0 0.1 -0.9 -0.6 -0.6 -0.5 -0.4 11.0 1.1
trend[60] -0.6 0.0 0.1 -0.9 -0.6 -0.6 -0.5 -0.4 11.0 1.1
trend[61] -0.6 0.0 0.1 -0.9 -0.6 -0.6 -0.5 -0.4 10.0 1.1
trend[62] -0.6 0.0 0.1 -0.9 -0.6 -0.6 -0.5 -0.4 10.0 1.1
trend[63] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 10.0 1.1
trend[64] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 10.0 1.1
trend[65] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 10.0 1.2
trend[66] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 10.0 1.2
trend[67] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 10.0 1.2
trend[68] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 10.0 1.2
trend[69] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 10.0 1.2
trend[70] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 10.0 1.2
trend[71] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 10.0 1.2
trend[72] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 9.0 1.2
trend[73] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 9.0 1.2
trend[74] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 9.0 1.2
trend[75] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[76] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[77] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[78] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[79] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[80] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[81] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[82] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[83] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[84] -0.6 0.0 0.1 -0.8 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[85] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[86] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 8.0 1.3
trend[87] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 8.0 1.4
trend[88] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 8.0 1.4
trend[89] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 8.0 1.4
trend[90] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 8.0 1.4
trend[91] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 8.0 1.4
trend[92] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 8.0 1.4
trend[93] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 8.0 1.4
trend[94] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 8.0 1.4
trend[95] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.4
trend[96] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.4
trend[97] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.4
trend[98] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.4
trend[99] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.4
trend[100] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.4
trend[101] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.4
trend[102] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.4
trend[103] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.4
trend[104] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.4
trend[105] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[106] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[107] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[108] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[109] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 9.0 1.3
trend[110] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 10.0 1.3
trend[111] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 10.0 1.3
trend[112] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 10.0 1.3
trend[113] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 10.0 1.3
trend[114] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 10.0 1.3
trend[115] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 10.0 1.2
trend[116] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 10.0 1.2
trend[117] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 10.0 1.2
trend[118] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 10.0 1.2
trend[119] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 11.0 1.2
trend[120] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 11.0 1.2
trend[121] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 11.0 1.2
trend[122] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 11.0 1.2
trend[123] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 11.0 1.2
trend[124] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 11.0 1.2
trend[125] -0.6 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 11.0 1.1
trend[126] -0.5 0.0 0.1 -0.7 -0.6 -0.6 -0.5 -0.4 11.0 1.1
trend[127] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.5 -0.4 11.0 1.1
trend[128] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.5 -0.4 11.0 1.1
trend[129] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.5 -0.4 11.0 1.1
trend[130] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.5 -0.4 12.0 1.1
trend[131] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.5 -0.4 12.0 1.1
trend[132] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.5 -0.4 12.0 1.1
trend[133] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.5 -0.4 12.0 1.1
trend[134] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.5 -0.4 12.0 1.1
trend[135] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.5 -0.4 12.0 1.1
trend[136] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.4 12.0 1.1
trend[137] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.4 12.0 1.1
trend[138] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.4 12.0 1.1
trend[139] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.4 12.0 1.0
trend[140] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.3 12.0 1.0
trend[141] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.3 12.0 1.0
trend[142] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.3 12.0 1.0
trend[143] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.3 12.0 1.0
trend[144] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.3 12.0 1.0
trend[145] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.3 12.0 1.0
trend[146] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.3 12.0 1.0
trend[147] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.3 12.0 1.0
trend[148] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.3 12.0 1.0
trend[149] -0.5 0.0 0.1 -0.7 -0.6 -0.5 -0.4 -0.3 12.0 1.0
trend[150] -0.5 0.0 0.1 -0.6 -0.5 -0.5 -0.4 -0.3 12.0 1.0
trend[151] -0.5 0.0 0.1 -0.6 -0.5 -0.5 -0.4 -0.3 12.0 1.0
trend[152] -0.5 0.0 0.1 -0.6 -0.5 -0.5 -0.4 -0.3 12.0 1.0
trend[153] -0.5 0.0 0.1 -0.6 -0.5 -0.5 -0.4 -0.3 12.0 1.0
trend[154] -0.4 0.0 0.1 -0.6 -0.5 -0.5 -0.4 -0.3 12.0 1.0
trend[155] -0.4 0.0 0.1 -0.6 -0.5 -0.4 -0.4 -0.3 12.0 1.0
trend[156] -0.4 0.0 0.1 -0.6 -0.5 -0.4 -0.4 -0.2 12.0 1.0
trend[157] -0.4 0.0 0.1 -0.6 -0.5 -0.4 -0.4 -0.2 12.0 1.0
trend[158] -0.4 0.0 0.1 -0.6 -0.5 -0.4 -0.4 -0.2 13.0 1.0
trend[159] -0.4 0.0 0.1 -0.6 -0.5 -0.4 -0.3 -0.2 13.0 1.0
trend[160] -0.4 0.0 0.1 -0.6 -0.5 -0.4 -0.3 -0.2 13.0 1.0
trend[161] -0.4 0.0 0.1 -0.6 -0.5 -0.4 -0.3 -0.2 13.0 1.0
trend[162] -0.4 0.0 0.1 -0.6 -0.5 -0.4 -0.3 -0.2 13.0 1.0
trend[163] -0.4 0.0 0.1 -0.6 -0.5 -0.4 -0.3 -0.2 13.0 1.0
trend[164] -0.4 0.0 0.1 -0.6 -0.5 -0.4 -0.3 -0.2 13.0 1.0
trend[165] -0.4 0.0 0.1 -0.6 -0.5 -0.4 -0.3 -0.2 13.0 1.0
trend[166] -0.4 0.0 0.1 -0.5 -0.5 -0.4 -0.3 -0.2 13.0 1.0
trend[167] -0.4 0.0 0.1 -0.5 -0.4 -0.4 -0.3 -0.2 13.0 1.0
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trend[372] 0.3 0.1 0.1 -0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[373] 0.3 0.1 0.1 -0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[374] 0.3 0.1 0.1 -0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[375] 0.3 0.1 0.1 -0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[376] 0.3 0.1 0.1 -0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[377] 0.3 0.1 0.1 -0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[378] 0.3 0.1 0.1 -0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[379] 0.3 0.1 0.1 -0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[380] 0.3 0.1 0.1 -0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[381] 0.3 0.1 0.1 -0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[382] 0.3 0.1 0.1 -0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[383] 0.3 0.1 0.1 -0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[384] 0.3 0.1 0.1 0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[385] 0.3 0.1 0.1 0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[386] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[387] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[388] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[389] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[390] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[391] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[392] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[393] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[394] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 7.0 1.6
trend[395] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[396] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[397] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[398] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[399] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[400] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[401] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[402] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[403] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[404] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[405] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[406] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[407] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[408] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[409] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[410] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[411] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.6
trend[412] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.5
trend[413] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.5
trend[414] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.5
trend[415] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.5
trend[416] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.5
trend[417] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.5
trend[418] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.5
trend[419] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.5
trend[420] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.4
trend[421] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.4
trend[422] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.4
trend[423] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.4
trend[424] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 8.0 1.4
trend[425] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 8.0 1.4
trend[426] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 8.0 1.4
trend[427] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 8.0 1.3
trend[428] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 8.0 1.3
trend[429] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 8.0 1.3
trend[430] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 8.0 1.3
trend[431] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 9.0 1.3
trend[432] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 9.0 1.3
trend[433] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 9.0 1.3
trend[434] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 9.0 1.3
trend[435] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 9.0 1.3
trend[436] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 9.0 1.2
trend[437] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 10.0 1.2
trend[438] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 10.0 1.2
trend[439] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 10.0 1.2
trend[440] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 10.0 1.2
trend[441] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 11.0 1.2
trend[442] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 11.0 1.2
trend[443] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 11.0 1.2
trend[444] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 11.0 1.2
trend[445] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 11.0 1.2
trend[446] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 11.0 1.2
trend[447] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 12.0 1.1
trend[448] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 12.0 1.1
trend[449] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 12.0 1.1
trend[450] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 12.0 1.1
trend[451] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.5 12.0 1.1
trend[452] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.5 13.0 1.1
trend[453] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.5 13.0 1.1
trend[454] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.5 13.0 1.1
trend[455] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.5 13.0 1.1
trend[456] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.5 14.0 1.1
trend[457] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.5 14.0 1.1
trend[458] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 14.0 1.1
trend[459] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 14.0 1.1
trend[460] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 14.0 1.1
trend[461] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 15.0 1.1
trend[462] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 15.0 1.0
trend[463] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 15.0 1.0
trend[464] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 15.0 1.0
trend[465] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 16.0 1.0
trend[466] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 16.0 1.0
trend[467] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 16.0 1.0
trend[468] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 16.0 1.0
trend[469] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.5 17.0 1.0
trend[470] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.6 17.0 1.0
trend[471] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.6 17.0 1.0
trend[472] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.6 18.0 1.0
trend[473] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.6 18.0 1.0
trend[474] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.6 18.0 1.0
trend[475] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.6 19.0 1.0
trend[476] 0.3 0.0 0.1 0.0 0.2 0.3 0.4 0.6 19.0 1.0
trend[477] 0.3 0.0 0.1 -0.0 0.2 0.3 0.4 0.6 19.0 1.0
trend[478] 0.3 0.0 0.1 -0.0 0.2 0.3 0.4 0.6 20.0 1.0
trend[479] 0.3 0.0 0.2 -0.0 0.2 0.3 0.4 0.6 20.0 1.0
trend[480] 0.3 0.0 0.2 -0.0 0.2 0.3 0.4 0.6 21.0 1.0
trend[481] 0.3 0.0 0.2 -0.0 0.2 0.3 0.4 0.6 21.0 1.0
trend[482] 0.3 0.0 0.2 -0.0 0.2 0.3 0.4 0.6 21.0 1.0
trend[483] 0.3 0.0 0.2 -0.1 0.2 0.3 0.4 0.6 22.0 1.0
trend[484] 0.3 0.0 0.2 -0.1 0.2 0.3 0.4 0.6 22.0 1.0
trend[485] 0.3 0.0 0.2 -0.1 0.2 0.3 0.4 0.6 23.0 1.0
trend[486] 0.3 0.0 0.2 -0.1 0.2 0.3 0.4 0.7 24.0 1.0
trend[487] 0.3 0.0 0.2 -0.1 0.2 0.3 0.4 0.7 24.0 1.0
trend[488] 0.3 0.0 0.2 -0.1 0.2 0.3 0.4 0.7 25.0 1.0
trend[489] 0.3 0.0 0.2 -0.1 0.2 0.3 0.4 0.7 25.0 1.0
trend[490] 0.3 0.0 0.2 -0.1 0.2 0.3 0.4 0.7 26.0 1.0
trend[491] 0.3 0.0 0.2 -0.1 0.2 0.3 0.4 0.7 26.0 1.0
c_ar[0] 0.6 0.1 0.2 0.3 0.4 0.5 0.6 1.1 7.0 1.1
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ar[0] 1.7 0.1 0.5 0.6 1.4 1.7 2.0 2.6 32.0 1.0
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ar[4] 0.5 0.1 0.4 -0.2 0.2 0.4 0.7 1.3 19.0 1.0
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ar[30] 0.6 0.1 0.4 -0.2 0.3 0.6 0.8 1.3 39.0 1.0
ar[31] 0.6 0.1 0.4 -0.1 0.4 0.6 0.8 1.3 46.0 1.0
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ar[33] 0.6 0.0 0.4 -0.1 0.3 0.6 0.8 1.3 116.0 1.0
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ar[54] 0.8 0.1 0.4 -0.1 0.5 0.9 1.1 1.5 10.0 1.0
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ar[56] 0.6 0.1 0.4 -0.1 0.3 0.6 0.8 1.2 28.0 1.0
ar[57] 0.8 0.0 0.3 0.1 0.6 0.8 1.0 1.4 138.0 1.0
ar[58] 1.2 0.1 0.4 0.4 1.0 1.3 1.5 1.9 20.0 1.0
ar[59] 1.1 0.1 0.4 0.2 0.8 1.1 1.4 1.8 20.0 1.0
ar[60] 0.2 0.1 0.4 -0.6 0.0 0.3 0.5 0.9 36.0 1.0
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ar[64] 0.5 0.0 0.3 -0.2 0.3 0.6 0.8 1.1 186.0 1.0
ar[65] 1.2 0.0 0.3 0.5 1.0 1.2 1.4 1.8 64.0 1.0
ar[66] 1.9 0.2 0.5 0.8 1.6 2.0 2.3 2.8 10.0 1.0
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ar[72] 1.2 0.0 0.3 0.6 1.0 1.2 1.4 1.8 140.0 1.0
ar[73] 1.7 0.1 0.4 0.8 1.4 1.7 2.0 2.4 12.0 1.0
ar[74] 0.4 0.0 0.3 -0.2 0.2 0.4 0.6 1.1 114.0 1.0
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ar[77] 1.1 0.2 0.5 0.0 0.8 1.2 1.5 1.9 9.0 1.0
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ar[82] 0.8 0.0 0.3 0.2 0.6 0.8 1.0 1.5 116.0 1.0
ar[83] 1.3 0.1 0.4 0.3 1.0 1.3 1.6 2.0 15.0 1.0
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ar[88] 0.4 0.0 0.3 -0.3 0.2 0.4 0.6 1.1 137.0 1.0
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ar[92] -0.5 0.0 0.3 -1.2 -0.7 -0.5 -0.3 0.1 132.0 1.0
ar[93] -0.0 0.0 0.3 -0.6 -0.2 -0.0 0.2 0.7 193.0 1.0
ar[94] 0.3 0.1 0.4 -0.4 0.1 0.3 0.6 1.0 33.0 1.0
ar[95] -0.3 0.0 0.3 -1.0 -0.6 -0.3 -0.1 0.4 80.0 1.0
ar[96] -0.9 0.1 0.4 -1.6 -1.2 -0.9 -0.6 -0.0 15.0 1.1
ar[97] -0.4 0.0 0.3 -1.1 -0.6 -0.4 -0.2 0.3 74.0 1.0
ar[98] -0.0 0.0 0.3 -0.7 -0.2 0.0 0.2 0.6 116.0 1.0
ar[99] 0.0 0.0 0.3 -0.7 -0.2 0.1 0.3 0.7 169.0 1.0
ar[100] -0.6 0.1 0.4 -1.3 -0.9 -0.6 -0.4 0.2 15.0 1.1
ar[101] -0.4 0.1 0.4 -1.0 -0.6 -0.4 -0.1 0.4 20.0 1.1
ar[102] 0.6 0.1 0.4 -0.2 0.4 0.7 0.9 1.3 17.0 1.0
ar[103] -0.2 0.0 0.3 -0.8 -0.4 -0.2 0.0 0.5 187.0 1.0
ar[104] -0.8 0.1 0.4 -1.4 -1.0 -0.8 -0.6 0.1 17.0 1.1
ar[105] -0.5 0.0 0.3 -1.2 -0.7 -0.5 -0.3 0.1 89.0 1.0
ar[106] -1.1 0.1 0.4 -1.8 -1.4 -1.2 -0.8 -0.3 10.0 1.1
ar[107] -0.2 0.0 0.3 -0.9 -0.4 -0.1 0.1 0.4 110.0 1.0
ar[108] -0.0 0.0 0.3 -0.7 -0.2 -0.0 0.2 0.7 168.0 1.0
ar[109] -0.1 0.1 0.4 -0.7 -0.4 -0.2 0.1 0.7 21.0 1.1
ar[110] 0.7 0.1 0.4 -0.1 0.4 0.7 0.9 1.3 24.0 1.0
ar[111] 0.1 0.1 0.4 -0.6 -0.2 0.0 0.3 0.9 17.0 1.1
ar[112] 0.9 0.1 0.4 0.0 0.6 0.9 1.2 1.6 14.0 1.0
ar[113] -0.1 0.0 0.3 -0.7 -0.3 -0.1 0.1 0.6 159.0 1.0
ar[114] -0.6 0.1 0.4 -1.3 -0.8 -0.6 -0.4 0.2 22.0 1.1
ar[115] -0.1 0.0 0.3 -0.9 -0.4 -0.1 0.1 0.5 110.0 1.0
ar[116] -0.3 0.1 0.4 -1.0 -0.6 -0.4 -0.1 0.5 29.0 1.0
ar[117] 0.3 0.0 0.4 -0.5 0.1 0.3 0.5 1.0 144.0 1.0
ar[118] 1.1 0.1 0.4 0.2 0.8 1.1 1.3 1.7 20.0 1.0
ar[119] 0.8 0.0 0.3 0.1 0.6 0.9 1.1 1.4 109.0 1.0
ar[120] 0.6 0.1 0.3 -0.2 0.4 0.6 0.8 1.3 43.0 1.0
ar[121] -0.3 0.1 0.4 -1.0 -0.6 -0.3 -0.0 0.5 15.0 1.1
ar[122] 0.1 0.1 0.3 -0.5 -0.1 0.1 0.3 0.8 37.0 1.0
ar[123] 1.6 0.2 0.5 0.5 1.2 1.7 2.0 2.4 9.0 1.0
ar[124] 0.6 0.0 0.3 -0.0 0.4 0.7 0.9 1.3 78.0 1.0
ar[125] -0.7 0.1 0.4 -1.4 -1.0 -0.8 -0.5 0.1 14.0 1.1
ar[126] -0.6 0.1 0.4 -1.3 -0.9 -0.7 -0.4 0.2 18.0 1.1
ar[127] 0.3 0.0 0.3 -0.4 0.1 0.4 0.6 1.0 99.0 1.0
ar[128] 0.4 0.0 0.3 -0.3 0.1 0.4 0.6 1.0 169.0 1.0
ar[129] -0.2 0.0 0.3 -0.9 -0.4 -0.2 0.0 0.5 69.0 1.0
ar[130] -0.5 0.0 0.3 -1.1 -0.7 -0.5 -0.3 0.1 145.0 1.0
ar[131] -0.8 0.0 0.3 -1.4 -1.0 -0.8 -0.6 -0.2 123.0 1.0
ar[132] -1.3 0.0 0.3 -1.9 -1.5 -1.3 -1.0 -0.7 96.0 1.0
ar[133] -1.9 0.1 0.4 -2.6 -2.2 -2.0 -1.7 -1.1 16.0 1.1
ar[134] -2.0 0.1 0.4 -2.7 -2.3 -2.0 -1.7 -1.2 14.0 1.1
ar[135] -1.2 0.0 0.3 -1.8 -1.5 -1.3 -1.0 -0.5 109.0 1.0
ar[136] -0.6 0.1 0.4 -1.2 -0.9 -0.7 -0.4 0.2 33.0 1.0
ar[137] 0.8 0.1 0.4 0.0 0.6 0.9 1.1 1.5 16.0 1.0
ar[138] 1.0 0.1 0.3 0.3 0.8 1.1 1.3 1.7 30.0 1.0
ar[139] 0.9 0.1 0.4 0.2 0.6 0.9 1.1 1.5 25.0 1.0
ar[140] -0.0 0.0 0.3 -0.6 -0.3 -0.0 0.2 0.6 137.0 1.0
ar[141] -0.5 0.0 0.4 -1.1 -0.7 -0.5 -0.2 0.3 59.0 1.0
ar[142] -0.1 0.0 0.3 -0.8 -0.3 -0.1 0.1 0.6 72.0 1.0
ar[143] -0.4 0.0 0.3 -1.1 -0.6 -0.4 -0.2 0.3 168.0 1.0
ar[144] -1.1 0.2 0.5 -1.9 -1.4 -1.1 -0.7 -0.2 8.0 1.1
ar[145] 0.3 0.1 0.4 -0.4 0.1 0.4 0.6 1.0 18.0 1.0
ar[146] 0.2 0.0 0.3 -0.4 0.0 0.2 0.5 0.9 67.0 1.0
ar[147] 0.4 0.0 0.3 -0.3 0.2 0.4 0.6 1.0 225.0 1.0
ar[148] 0.5 0.0 0.3 -0.3 0.3 0.5 0.7 1.1 54.0 1.0
ar[149] -0.2 0.1 0.4 -0.9 -0.5 -0.2 0.1 0.7 20.0 1.0
ar[150] 0.5 0.0 0.3 -0.2 0.3 0.5 0.7 1.2 105.0 1.0
ar[151] 1.1 0.1 0.4 0.3 0.9 1.2 1.4 1.8 16.0 1.0
ar[152] 0.4 0.0 0.3 -0.2 0.2 0.4 0.6 1.1 112.0 1.0
ar[153] 0.2 0.0 0.3 -0.5 -0.0 0.2 0.4 0.9 55.0 1.0
ar[154] -0.2 0.0 0.4 -1.0 -0.4 -0.2 0.0 0.5 58.0 1.0
ar[155] -1.0 0.0 0.4 -1.6 -1.2 -1.0 -0.7 -0.2 57.0 1.0
ar[156] -1.3 0.0 0.4 -2.0 -1.5 -1.3 -1.0 -0.6 78.0 1.0
ar[157] -1.6 0.1 0.4 -2.2 -1.9 -1.6 -1.3 -0.7 13.0 1.1
ar[158] -0.8 0.0 0.4 -1.5 -1.0 -0.8 -0.5 -0.1 94.0 1.0
ar[159] -0.1 0.1 0.4 -0.9 -0.3 -0.1 0.2 0.5 33.0 1.0
ar[160] -0.2 0.0 0.3 -0.9 -0.4 -0.2 -0.0 0.4 82.0 1.0
ar[161] -0.4 0.0 0.3 -1.1 -0.6 -0.4 -0.2 0.3 118.0 1.0
ar[162] -0.7 0.1 0.4 -1.4 -1.0 -0.7 -0.5 0.0 18.0 1.0
ar[163] 0.1 0.0 0.3 -0.7 -0.1 0.1 0.3 0.7 59.0 1.0
ar[164] 0.0 0.1 0.4 -0.7 -0.2 0.0 0.3 0.7 26.0 1.0
ar[165] -1.0 0.1 0.4 -1.7 -1.3 -1.0 -0.7 -0.1 14.0 1.0
ar[166] -0.5 0.0 0.3 -1.1 -0.7 -0.5 -0.3 0.2 72.0 1.0
ar[167] 0.5 0.1 0.4 -0.3 0.2 0.5 0.7 1.1 17.0 1.0
ar[168] 0.2 0.0 0.3 -0.4 0.0 0.2 0.4 1.0 179.0 1.0
ar[169] 0.3 0.0 0.3 -0.3 0.1 0.3 0.6 1.0 62.0 1.0
ar[170] 0.2 0.0 0.3 -0.4 0.0 0.2 0.4 0.8 143.0 1.0
ar[171] -0.0 0.0 0.3 -0.7 -0.2 -0.0 0.2 0.7 202.0 1.0
ar[172] 0.2 0.0 0.3 -0.5 -0.0 0.2 0.4 0.9 66.0 1.0
ar[173] 0.3 0.1 0.4 -0.6 0.1 0.3 0.5 0.9 43.0 1.0
ar[174] 0.3 0.1 0.4 -0.6 0.1 0.3 0.5 1.0 23.0 1.0
ar[175] -0.3 0.0 0.3 -0.9 -0.5 -0.3 -0.0 0.5 74.0 1.0
ar[176] -0.2 0.0 0.3 -0.9 -0.5 -0.3 -0.0 0.5 156.0 1.0
ar[177] 0.5 0.1 0.4 -0.4 0.3 0.6 0.8 1.2 21.0 1.0
ar[178] 0.3 0.0 0.3 -0.3 0.1 0.3 0.5 0.9 200.0 1.0
ar[179] 0.3 0.0 0.3 -0.3 0.1 0.3 0.5 0.9 107.0 1.0
ar[180] 0.7 0.1 0.4 -0.1 0.4 0.8 1.0 1.4 10.0 1.1
ar[181] -0.6 0.1 0.4 -1.3 -0.9 -0.7 -0.3 0.2 15.0 1.0
ar[182] -0.4 0.0 0.3 -1.0 -0.6 -0.4 -0.2 0.2 186.0 1.0
ar[183] -0.2 0.0 0.3 -0.9 -0.4 -0.2 -0.0 0.4 155.0 1.0
ar[184] -0.3 0.0 0.3 -0.9 -0.5 -0.3 -0.0 0.4 175.0 1.0
ar[185] -0.0 0.1 0.4 -0.8 -0.2 0.0 0.2 0.7 17.0 1.0
ar[186] -1.0 0.1 0.4 -1.7 -1.3 -1.0 -0.7 -0.2 15.0 1.0
ar[187] -0.2 0.0 0.3 -0.9 -0.4 -0.2 -0.0 0.4 55.0 1.0
ar[188] -0.2 0.0 0.4 -0.9 -0.4 -0.1 0.1 0.5 64.0 1.0
ar[189] -0.6 0.0 0.3 -1.2 -0.8 -0.6 -0.4 -0.0 175.0 1.0
ar[190] -1.3 0.1 0.4 -2.1 -1.6 -1.3 -1.0 -0.3 10.0 1.1
ar[191] -0.1 0.0 0.3 -0.7 -0.4 -0.2 0.1 0.6 195.0 1.0
ar[192] 1.5 0.2 0.5 0.5 1.3 1.6 1.9 2.3 9.0 1.1
ar[193] 1.4 0.1 0.3 0.6 1.1 1.4 1.6 2.0 24.0 1.0
ar[194] 0.7 0.0 0.3 0.1 0.5 0.7 0.9 1.3 148.0 1.0
ar[195] 0.3 0.0 0.3 -0.4 0.1 0.3 0.6 1.0 143.0 1.0
ar[196] -0.3 0.0 0.3 -1.0 -0.5 -0.3 -0.1 0.4 137.0 1.0
ar[197] -0.7 0.0 0.3 -1.4 -0.9 -0.7 -0.5 0.0 64.0 1.0
ar[198] -0.3 0.0 0.3 -0.9 -0.5 -0.2 -0.1 0.4 154.0 1.0
ar[199] -0.0 0.0 0.3 -0.7 -0.2 -0.0 0.2 0.7 208.0 1.0
ar[200] 0.1 0.0 0.4 -0.6 -0.1 0.1 0.4 0.8 62.0 1.0
ar[201] -0.3 0.1 0.4 -1.0 -0.6 -0.3 -0.1 0.6 52.0 1.0
ar[202] 0.4 0.1 0.4 -0.4 0.2 0.5 0.7 1.2 20.0 1.0
ar[203] 0.3 0.0 0.3 -0.4 0.1 0.3 0.5 1.0 87.0 1.0
ar[204] -0.1 0.1 0.4 -0.8 -0.4 -0.1 0.2 0.9 14.0 1.0
ar[205] 1.8 0.2 0.6 0.5 1.4 1.8 2.2 2.6 7.0 1.1
ar[206] 1.1 0.1 0.4 0.3 0.9 1.1 1.3 1.8 30.0 1.0
ar[207] 0.3 0.0 0.3 -0.3 0.1 0.3 0.5 1.0 83.0 1.0
ar[208] 0.3 0.0 0.3 -0.4 0.1 0.3 0.5 1.0 110.0 1.0
ar[209] 0.9 0.1 0.4 -0.0 0.6 0.9 1.1 1.5 20.0 1.0
ar[210] 0.7 0.0 0.4 -0.0 0.5 0.8 1.0 1.4 65.0 1.0
ar[211] 0.7 0.0 0.3 0.1 0.5 0.8 1.0 1.4 218.0 1.0
ar[212] 0.6 0.0 0.3 -0.1 0.4 0.6 0.9 1.3 226.0 1.0
ar[213] 0.6 0.0 0.3 -0.0 0.3 0.6 0.8 1.3 101.0 1.0
ar[214] 1.4 0.1 0.4 0.5 1.1 1.4 1.7 2.0 13.0 1.0
ar[215] 1.2 0.1 0.4 0.5 1.0 1.3 1.5 1.9 26.0 1.0
ar[216] 0.7 0.0 0.4 -0.1 0.5 0.7 0.9 1.4 91.0 1.0
ar[217] 0.0 0.0 0.4 -0.6 -0.2 -0.0 0.2 0.8 61.0 1.0
ar[218] 0.5 0.1 0.4 -0.2 0.3 0.5 0.7 1.2 39.0 1.0
ar[219] 0.6 0.1 0.4 -0.2 0.4 0.7 0.9 1.3 47.0 1.0
ar[220] 0.4 0.0 0.4 -0.2 0.2 0.4 0.7 1.3 62.0 1.0
ar[221] 1.1 0.1 0.4 0.2 0.8 1.2 1.4 1.8 13.0 1.1
ar[222] 0.2 0.0 0.3 -0.5 -0.0 0.2 0.4 0.8 218.0 1.0
ar[223] -0.6 0.1 0.4 -1.3 -0.9 -0.7 -0.4 0.2 16.0 1.0
ar[224] 0.1 0.0 0.4 -0.7 -0.2 0.1 0.3 0.8 68.0 1.0
ar[225] 0.0 0.0 0.3 -0.6 -0.2 0.0 0.2 0.7 90.0 1.0
ar[226] -0.2 0.1 0.3 -0.8 -0.5 -0.3 0.0 0.5 47.0 1.0
ar[227] 0.6 0.0 0.4 -0.2 0.3 0.6 0.8 1.3 67.0 1.0
ar[228] 0.8 0.1 0.4 0.1 0.6 0.8 1.1 1.5 23.0 1.0
ar[229] 0.4 0.0 0.4 -0.3 0.1 0.3 0.6 1.1 192.0 1.0
ar[230] 0.6 0.1 0.4 -0.2 0.3 0.6 0.8 1.3 24.0 1.0
ar[231] 0.2 0.0 0.3 -0.5 -0.0 0.2 0.3 0.8 49.0 1.0
ar[232] -0.8 0.1 0.3 -1.4 -1.1 -0.8 -0.6 -0.1 22.0 1.0
ar[233] -0.8 0.0 0.4 -1.6 -1.1 -0.8 -0.6 -0.1 65.0 1.0
ar[234] -0.3 0.1 0.4 -1.1 -0.5 -0.2 -0.1 0.3 34.0 1.0
ar[235] -0.5 0.0 0.3 -1.2 -0.8 -0.5 -0.3 0.2 144.0 1.0
ar[236] -0.6 0.0 0.4 -1.2 -0.8 -0.6 -0.4 0.1 58.0 1.0
ar[237] -0.4 0.0 0.3 -1.1 -0.6 -0.4 -0.2 0.3 150.0 1.0
ar[238] -0.1 0.0 0.3 -0.7 -0.3 -0.1 0.1 0.6 122.0 1.0
ar[239] 0.6 0.0 0.3 -0.1 0.4 0.6 0.8 1.2 73.0 1.0
ar[240] 0.9 0.1 0.4 0.1 0.7 0.9 1.1 1.6 42.0 1.0
ar[241] 0.7 0.1 0.4 -0.2 0.5 0.8 1.0 1.4 22.0 1.1
ar[242] -0.4 0.0 0.4 -1.0 -0.6 -0.4 -0.1 0.4 58.0 1.0
ar[243] -0.8 0.1 0.4 -1.4 -1.0 -0.8 -0.6 -0.1 45.0 1.0
ar[244] -0.8 0.0 0.3 -1.4 -1.0 -0.8 -0.5 -0.1 139.0 1.0
ar[245] -0.8 0.0 0.4 -1.6 -1.0 -0.8 -0.6 -0.1 87.0 1.0
ar[246] -1.5 0.1 0.4 -2.2 -1.8 -1.6 -1.3 -0.8 30.0 1.0
ar[247] -1.8 0.1 0.4 -2.5 -2.1 -1.9 -1.5 -1.0 15.0 1.0
ar[248] -1.2 0.0 0.3 -1.8 -1.4 -1.2 -1.0 -0.5 104.0 1.0
ar[249] -0.8 0.1 0.4 -1.4 -1.0 -0.8 -0.5 -0.0 22.0 1.0
ar[250] 0.4 0.1 0.4 -0.4 0.1 0.4 0.7 1.1 14.0 1.1
ar[251] 0.1 0.0 0.3 -0.6 -0.2 0.1 0.3 0.7 142.0 1.0
ar[252] -0.1 0.0 0.4 -0.9 -0.3 -0.1 0.1 0.6 110.0 1.0
ar[253] -0.0 0.1 0.4 -0.8 -0.2 0.0 0.2 0.7 31.0 1.0
ar[254] -0.7 0.1 0.4 -1.5 -1.0 -0.8 -0.4 0.1 12.0 1.0
ar[255] 0.4 0.1 0.4 -0.5 0.2 0.4 0.6 1.0 24.0 1.0
ar[256] 0.6 0.1 0.4 -0.2 0.4 0.6 0.8 1.2 27.0 1.0
ar[257] 0.3 0.1 0.3 -0.3 0.0 0.2 0.5 0.9 34.0 1.0
ar[258] 1.3 0.1 0.4 0.5 1.1 1.4 1.6 1.9 12.0 1.1
ar[259] 1.3 0.1 0.4 0.4 1.0 1.3 1.5 1.9 18.0 1.1
ar[260] 0.7 0.0 0.3 0.0 0.5 0.7 0.9 1.4 94.0 1.0
ar[261] 0.7 0.0 0.3 -0.1 0.5 0.7 0.9 1.3 108.0 1.0
ar[262] 0.6 0.0 0.3 -0.1 0.3 0.5 0.8 1.2 107.0 1.0
ar[263] 0.4 0.0 0.3 -0.3 0.2 0.4 0.6 1.0 102.0 1.0
ar[264] -0.1 0.0 0.3 -0.7 -0.3 -0.1 0.1 0.6 119.0 1.0
ar[265] -0.2 0.0 0.3 -0.9 -0.4 -0.2 0.1 0.5 219.0 1.0
ar[266] -0.1 0.0 0.3 -0.8 -0.3 -0.1 0.1 0.5 117.0 1.0
ar[267] -0.1 0.0 0.3 -0.7 -0.3 -0.1 0.1 0.6 182.0 1.0
ar[268] -0.2 0.0 0.3 -0.9 -0.4 -0.2 0.0 0.5 192.0 1.0
ar[269] -0.8 0.1 0.4 -1.5 -1.1 -0.9 -0.6 0.0 11.0 1.0
ar[270] 0.1 0.0 0.4 -0.6 -0.1 0.2 0.4 0.8 57.0 1.0
ar[271] 0.3 0.1 0.4 -0.5 0.1 0.3 0.5 0.9 26.0 1.1
ar[272] -0.5 0.1 0.4 -1.2 -0.8 -0.5 -0.3 0.3 31.0 1.0
ar[273] 0.2 0.1 0.4 -0.8 -0.1 0.2 0.4 0.9 12.0 1.1
ar[274] -0.8 0.1 0.3 -1.4 -1.0 -0.8 -0.6 -0.0 33.0 1.0
ar[275] -0.9 0.0 0.3 -1.5 -1.1 -0.9 -0.7 -0.2 145.0 1.0
ar[276] -0.4 0.1 0.4 -1.2 -0.6 -0.4 -0.1 0.2 26.0 1.1
ar[277] -0.8 0.1 0.3 -1.4 -1.0 -0.8 -0.6 -0.1 41.0 1.0
ar[278] -0.7 0.1 0.3 -1.3 -0.9 -0.7 -0.5 -0.1 44.0 1.0
ar[279] -1.7 0.1 0.4 -2.4 -2.0 -1.7 -1.3 -0.7 10.0 1.0
ar[280] -1.0 0.0 0.3 -1.7 -1.3 -1.0 -0.8 -0.3 91.0 1.0
ar[281] -0.3 0.0 0.4 -1.1 -0.5 -0.2 -0.0 0.4 75.0 1.0
ar[282] -0.2 0.0 0.4 -1.0 -0.4 -0.2 0.0 0.4 98.0 1.0
ar[283] -0.8 0.0 0.3 -1.4 -1.0 -0.8 -0.5 -0.0 69.0 1.0
ar[284] -0.8 0.0 0.3 -1.4 -1.0 -0.8 -0.6 -0.1 136.0 1.0
ar[285] -0.5 0.0 0.3 -1.1 -0.7 -0.5 -0.3 0.2 84.0 1.0
ar[286] -0.2 0.0 0.3 -0.9 -0.4 -0.2 0.1 0.4 70.0 1.0
ar[287] -0.1 0.0 0.3 -0.8 -0.4 -0.1 0.1 0.5 97.0 1.0
ar[288] 0.0 0.0 0.3 -0.7 -0.2 0.0 0.2 0.7 120.0 1.0
ar[289] 0.0 0.0 0.4 -0.7 -0.2 0.0 0.3 0.7 161.0 1.0
ar[290] 0.4 0.1 0.4 -0.4 0.1 0.4 0.6 1.0 41.0 1.0
ar[291] 0.1 0.0 0.3 -0.6 -0.1 0.1 0.3 0.7 155.0 1.0
ar[292] -0.1 0.0 0.3 -0.7 -0.3 -0.0 0.2 0.6 204.0 1.0
ar[293] -0.2 0.0 0.3 -0.8 -0.4 -0.2 -0.0 0.5 225.0 1.0
ar[294] -0.1 0.0 0.3 -0.8 -0.3 -0.1 0.1 0.6 150.0 1.0
ar[295] -0.7 0.0 0.3 -1.3 -0.9 -0.7 -0.5 0.0 63.0 1.0
ar[296] -0.8 0.0 0.3 -1.4 -1.0 -0.8 -0.6 -0.2 62.0 1.0
ar[297] -0.7 0.1 0.4 -1.4 -0.9 -0.7 -0.5 -0.0 31.0 1.0
ar[298] 0.6 0.1 0.4 -0.3 0.3 0.6 0.8 1.2 13.0 1.1
ar[299] 0.4 0.1 0.4 -0.3 0.2 0.5 0.7 1.1 23.0 1.1
ar[300] -0.2 0.0 0.4 -0.9 -0.4 -0.2 0.0 0.6 104.0 1.0
ar[301] 0.5 0.1 0.4 -0.3 0.3 0.5 0.8 1.2 36.0 1.0
ar[302] 0.7 0.0 0.3 0.0 0.5 0.8 1.0 1.4 112.0 1.0
ar[303] 1.5 0.1 0.5 0.5 1.2 1.6 1.9 2.3 10.0 1.1
ar[304] 1.1 0.1 0.4 0.2 0.8 1.2 1.4 1.8 18.0 1.0
ar[305] -0.2 0.0 0.4 -0.8 -0.4 -0.2 0.1 0.6 110.0 1.0
ar[306] -0.1 0.0 0.3 -0.7 -0.3 -0.0 0.2 0.6 103.0 1.0
ar[307] -0.0 0.0 0.3 -0.6 -0.2 -0.0 0.2 0.6 158.0 1.0
ar[308] 0.6 0.1 0.4 -0.2 0.4 0.6 0.9 1.2 26.0 1.1
ar[309] 1.1 0.2 0.5 0.1 0.8 1.1 1.4 1.8 8.0 1.1
ar[310] 0.1 0.0 0.3 -0.4 -0.1 0.1 0.3 0.8 119.0 1.0
ar[311] 0.4 0.1 0.3 -0.3 0.2 0.4 0.7 1.0 20.0 1.1
ar[312] 0.2 0.0 0.3 -0.5 0.0 0.2 0.4 0.8 54.0 1.0
ar[313] -0.2 0.0 0.3 -0.8 -0.4 -0.2 0.0 0.5 111.0 1.0
ar[314] 0.3 0.1 0.4 -0.4 0.1 0.3 0.6 1.0 17.0 1.1
ar[315] -0.1 0.0 0.4 -0.8 -0.4 -0.1 0.1 0.6 140.0 1.0
ar[316] 0.1 0.0 0.4 -0.6 -0.2 0.1 0.3 0.8 61.0 1.0
ar[317] 0.3 0.1 0.4 -0.5 0.0 0.3 0.5 1.0 24.0 1.1
ar[318] -0.0 0.0 0.3 -0.6 -0.2 -0.0 0.2 0.7 157.0 1.0
ar[319] 0.6 0.0 0.3 -0.1 0.4 0.6 0.8 1.2 57.0 1.0
ar[320] 1.1 0.1 0.4 0.2 0.8 1.2 1.4 1.9 9.0 1.1
ar[321] 0.5 0.1 0.4 -0.3 0.3 0.5 0.7 1.2 42.0 1.1
ar[322] 0.2 0.1 0.3 -0.6 -0.1 0.2 0.4 0.8 42.0 1.1
ar[323] -0.3 0.0 0.3 -0.9 -0.5 -0.3 -0.0 0.4 88.0 1.0
ar[324] 0.4 0.2 0.5 -0.7 0.1 0.5 0.8 1.3 6.0 1.2
ar[325] -0.9 0.1 0.4 -1.5 -1.2 -1.0 -0.7 -0.1 26.0 1.0
ar[326] -0.7 0.0 0.3 -1.3 -0.9 -0.7 -0.5 -0.1 125.0 1.1
ar[327] -0.5 0.0 0.3 -1.2 -0.8 -0.5 -0.3 0.2 160.0 1.0
ar[328] 0.1 0.1 0.4 -0.6 -0.1 0.1 0.3 0.7 15.0 1.1
ar[329] 0.2 0.0 0.3 -0.5 -0.1 0.2 0.4 0.8 79.0 1.0
ar[330] 0.8 0.1 0.4 -0.1 0.5 0.8 1.1 1.5 10.0 1.1
ar[331] 0.4 0.1 0.3 -0.2 0.2 0.4 0.7 1.1 33.0 1.1
ar[332] 0.2 0.0 0.4 -0.5 0.0 0.3 0.5 0.9 68.0 1.1
ar[333] 0.2 0.1 0.4 -0.6 -0.0 0.2 0.5 0.9 16.0 1.1
ar[334] -0.0 0.1 0.4 -0.8 -0.3 0.0 0.2 0.6 38.0 1.1
ar[335] -0.4 0.0 0.3 -1.2 -0.7 -0.4 -0.2 0.2 120.0 1.0
ar[336] -0.9 0.0 0.3 -1.6 -1.1 -0.9 -0.7 -0.2 44.0 1.0
ar[337] -0.7 0.0 0.3 -1.4 -0.9 -0.7 -0.5 -0.0 59.0 1.0
ar[338] -0.4 0.0 0.3 -1.0 -0.6 -0.3 -0.2 0.3 55.0 1.0
ar[339] 0.2 0.1 0.4 -0.6 -0.0 0.2 0.5 0.9 31.0 1.1
ar[340] 0.3 0.1 0.4 -0.4 0.1 0.4 0.6 1.0 30.0 1.1
ar[341] 0.4 0.1 0.4 -0.3 0.2 0.4 0.7 1.0 38.0 1.1
ar[342] 0.6 0.1 0.4 -0.3 0.3 0.6 0.9 1.3 9.0 1.2
ar[343] -0.5 0.0 0.3 -1.2 -0.7 -0.5 -0.2 0.2 167.0 1.0
ar[344] -0.7 0.0 0.3 -1.3 -0.9 -0.7 -0.4 0.0 88.0 1.0
ar[345] -0.2 0.1 0.4 -1.0 -0.4 -0.2 0.0 0.4 14.0 1.1
ar[346] -0.6 0.0 0.3 -1.2 -0.8 -0.6 -0.4 0.1 124.0 1.0
ar[347] -0.8 0.1 0.4 -1.5 -1.1 -0.9 -0.6 0.0 26.0 1.0
ar[348] 0.5 0.1 0.4 -0.4 0.2 0.5 0.8 1.2 11.0 1.1
ar[349] 0.9 0.1 0.3 0.2 0.7 0.9 1.1 1.5 18.0 1.1
ar[350] 1.3 0.1 0.4 0.6 1.1 1.4 1.6 2.0 9.0 1.2
ar[351] 1.2 0.1 0.4 0.4 0.9 1.2 1.5 1.9 11.0 1.1
ar[352] 0.2 0.0 0.3 -0.5 -0.0 0.2 0.4 0.8 81.0 1.0
ar[353] -0.1 0.0 0.3 -0.7 -0.3 -0.1 0.1 0.6 121.0 1.0
ar[354] 0.2 0.1 0.4 -0.6 -0.1 0.2 0.5 0.9 12.0 1.1
ar[355] -0.4 0.0 0.3 -1.1 -0.7 -0.4 -0.2 0.3 76.0 1.0
ar[356] -0.4 0.0 0.4 -1.2 -0.7 -0.4 -0.2 0.2 115.0 1.1
ar[357] -0.5 0.1 0.4 -1.4 -0.8 -0.5 -0.3 0.2 14.0 1.1
ar[358] -1.7 0.1 0.5 -2.4 -2.1 -1.8 -1.4 -0.8 14.0 1.0
ar[359] -1.0 0.0 0.3 -1.7 -1.2 -1.0 -0.7 -0.3 105.0 1.0
ar[360] -0.7 0.0 0.3 -1.3 -0.9 -0.7 -0.5 0.0 93.0 1.0
ar[361] -0.2 0.0 0.3 -0.9 -0.4 -0.2 0.0 0.5 59.0 1.0
ar[362] -0.6 0.1 0.4 -1.2 -0.8 -0.6 -0.3 0.3 29.0 1.0
ar[363] 0.2 0.1 0.4 -0.6 -0.0 0.2 0.5 0.9 25.0 1.1
ar[364] 0.0 0.1 0.3 -0.7 -0.2 0.1 0.3 0.7 46.0 1.0
ar[365] -0.2 0.1 0.4 -1.0 -0.5 -0.2 0.1 0.5 10.0 1.2
ar[366] -1.7 0.1 0.4 -2.4 -2.0 -1.7 -1.4 -0.6 12.0 1.0
ar[367] -1.1 0.0 0.4 -1.7 -1.3 -1.1 -0.9 -0.2 93.0 1.0
ar[368] -0.2 0.1 0.4 -1.0 -0.4 -0.2 0.0 0.5 24.0 1.1
ar[369] -0.4 0.1 0.4 -1.1 -0.7 -0.5 -0.2 0.4 23.0 1.0
ar[370] 0.9 0.2 0.5 -0.0 0.6 1.0 1.3 1.7 7.0 1.2
ar[371] 0.4 0.0 0.4 -0.3 0.1 0.4 0.6 1.1 62.0 1.0
ar[372] 0.0 0.0 0.3 -0.6 -0.2 0.0 0.2 0.7 64.0 1.0
ar[373] 0.6 0.1 0.4 -0.2 0.3 0.6 0.9 1.3 9.0 1.1
ar[374] 0.1 0.0 0.3 -0.5 -0.1 0.1 0.3 0.7 138.0 1.1
ar[375] 0.3 0.0 0.4 -0.4 0.1 0.4 0.6 1.0 58.0 1.1
ar[376] 0.7 0.1 0.4 -0.2 0.4 0.7 0.9 1.4 19.0 1.1
ar[377] 0.7 0.1 0.4 0.1 0.5 0.7 1.0 1.4 35.0 1.1
ar[378] 0.9 0.1 0.4 0.0 0.6 0.9 1.2 1.5 10.0 1.2
ar[379] -0.0 0.1 0.4 -0.7 -0.3 -0.0 0.2 0.8 29.0 1.0
ar[380] 0.2 0.1 0.4 -0.5 0.0 0.3 0.5 0.9 30.0 1.1
ar[381] 0.0 0.1 0.4 -0.7 -0.3 -0.0 0.3 0.8 35.0 1.0
ar[382] 1.0 0.2 0.4 -0.0 0.7 1.0 1.3 1.8 8.0 1.2
ar[383] 0.6 0.1 0.4 -0.3 0.3 0.6 0.8 1.2 16.0 1.1
ar[384] -0.2 0.0 0.4 -1.0 -0.5 -0.2 -0.0 0.5 107.0 1.0
ar[385] -0.6 0.0 0.3 -1.3 -0.9 -0.7 -0.4 0.0 112.0 1.0
ar[386] -0.8 0.1 0.4 -1.5 -1.0 -0.8 -0.6 -0.1 48.0 1.0
ar[387] -0.1 0.1 0.4 -0.9 -0.4 -0.1 0.1 0.5 16.0 1.1
ar[388] -0.7 0.1 0.4 -1.4 -1.0 -0.7 -0.4 0.1 18.0 1.0
ar[389] 0.5 0.1 0.4 -0.4 0.2 0.5 0.8 1.2 9.0 1.2
ar[390] -0.2 0.0 0.3 -0.8 -0.4 -0.2 0.0 0.6 53.0 1.0
ar[391] 0.1 0.0 0.3 -0.5 -0.1 0.1 0.3 0.8 103.0 1.1
ar[392] 0.6 0.1 0.4 -0.1 0.4 0.6 0.8 1.3 35.0 1.1
ar[393] 0.6 0.1 0.4 -0.3 0.4 0.7 0.9 1.2 18.0 1.1
ar[394] -0.2 0.1 0.4 -1.0 -0.5 -0.2 0.0 0.4 42.0 1.1
ar[395] -1.9 0.2 0.5 -2.7 -2.3 -1.9 -1.5 -0.8 7.0 1.0
ar[396] -0.7 0.0 0.3 -1.4 -0.9 -0.7 -0.5 -0.1 86.0 1.0
ar[397] -0.0 0.1 0.4 -0.8 -0.3 -0.0 0.2 0.7 17.0 1.1
ar[398] -0.4 0.0 0.3 -1.1 -0.6 -0.4 -0.2 0.2 117.0 1.1
ar[399] -0.9 0.1 0.4 -1.6 -1.3 -1.0 -0.7 0.0 20.0 1.0
ar[400] -0.1 0.1 0.4 -0.9 -0.4 -0.1 0.2 0.6 17.0 1.1
ar[401] -0.2 0.0 0.3 -0.9 -0.4 -0.2 0.0 0.5 178.0 1.0
ar[402] -0.3 0.1 0.4 -0.9 -0.5 -0.3 -0.1 0.5 44.0 1.0
ar[403] 0.5 0.1 0.4 -0.4 0.2 0.5 0.7 1.2 12.0 1.2
ar[404] -0.2 0.1 0.4 -0.8 -0.4 -0.2 0.0 0.6 37.0 1.0
ar[405] 0.4 0.0 0.3 -0.3 0.1 0.4 0.6 1.0 133.0 1.0
ar[406] 0.6 0.1 0.4 -0.2 0.3 0.6 0.8 1.3 44.0 1.1
ar[407] 0.4 0.0 0.3 -0.3 0.1 0.3 0.6 1.1 149.0 1.0
ar[408] 0.9 0.0 0.4 0.1 0.6 0.9 1.1 1.5 63.0 1.1
ar[409] 1.2 0.2 0.4 0.3 0.9 1.3 1.5 1.9 8.0 1.2
ar[410] 0.2 0.0 0.3 -0.4 0.0 0.2 0.4 0.8 116.0 1.0
ar[411] -0.5 0.1 0.4 -1.2 -0.8 -0.6 -0.3 0.3 20.0 1.0
ar[412] -0.1 0.0 0.3 -0.8 -0.3 -0.1 0.1 0.5 208.0 1.0
ar[413] 0.3 0.1 0.4 -0.5 0.0 0.3 0.5 0.9 14.0 1.1
ar[414] -0.7 0.1 0.4 -1.4 -1.0 -0.7 -0.4 0.2 11.0 1.0
ar[415] 0.5 0.1 0.3 -0.2 0.3 0.5 0.8 1.1 19.0 1.1
ar[416] 0.9 0.1 0.4 0.0 0.7 0.9 1.2 1.6 11.0 1.2
ar[417] 0.4 0.0 0.3 -0.2 0.2 0.5 0.7 1.0 97.0 1.0
ar[418] -0.2 0.1 0.3 -0.8 -0.4 -0.2 0.0 0.5 31.0 1.0
ar[419] 0.2 0.1 0.4 -0.5 0.0 0.2 0.5 0.9 25.0 1.1
ar[420] -0.3 0.0 0.3 -0.9 -0.5 -0.3 -0.1 0.3 131.0 1.0
ar[421] -0.9 0.1 0.4 -1.6 -1.2 -0.9 -0.6 -0.0 11.0 1.0
ar[422] 0.3 0.1 0.4 -0.5 0.1 0.4 0.6 1.0 12.0 1.1
ar[423] -0.0 0.0 0.3 -0.7 -0.2 -0.0 0.2 0.6 182.0 1.1
ar[424] -0.3 0.0 0.3 -0.9 -0.5 -0.3 -0.1 0.4 113.0 1.0
ar[425] -0.4 0.1 0.4 -1.0 -0.7 -0.4 -0.2 0.4 23.0 1.0
ar[426] 0.4 0.1 0.4 -0.4 0.2 0.5 0.7 1.0 13.0 1.1
ar[427] -0.3 0.1 0.4 -0.9 -0.5 -0.3 -0.0 0.5 37.0 1.0
ar[428] 0.1 0.0 0.3 -0.6 -0.1 0.1 0.3 0.8 123.0 1.0
ar[429] 0.4 0.1 0.3 -0.3 0.2 0.4 0.6 1.1 33.0 1.0
ar[430] -0.1 0.1 0.3 -0.7 -0.4 -0.1 0.1 0.7 25.0 1.0
ar[431] 0.4 0.0 0.3 -0.4 0.1 0.4 0.6 1.0 138.0 1.0
ar[432] 0.5 0.0 0.3 -0.2 0.2 0.5 0.7 1.2 154.0 1.0
ar[433] 1.1 0.1 0.4 0.2 0.8 1.1 1.4 1.8 21.0 1.1
ar[434] 0.5 0.0 0.3 -0.2 0.3 0.5 0.7 1.1 224.0 1.0
ar[435] 0.1 0.0 0.3 -0.5 -0.1 0.1 0.3 0.8 100.0 1.0
ar[436] 0.3 0.0 0.3 -0.4 0.1 0.3 0.5 0.9 52.0 1.0
ar[437] -0.0 0.0 0.3 -0.7 -0.2 -0.0 0.2 0.7 167.0 1.0
ar[438] -0.5 0.0 0.3 -1.1 -0.7 -0.6 -0.3 0.2 99.0 1.0
ar[439] -0.8 0.1 0.3 -1.4 -1.0 -0.8 -0.6 -0.1 28.0 1.0
ar[440] -0.5 0.0 0.4 -1.2 -0.8 -0.6 -0.3 0.3 72.0 1.0
ar[441] -0.1 0.0 0.3 -0.8 -0.3 -0.1 0.1 0.5 136.0 1.0
ar[442] 0.0 0.0 0.3 -0.8 -0.2 0.0 0.2 0.7 118.0 1.0
ar[443] -0.1 0.0 0.3 -0.7 -0.3 -0.1 0.1 0.6 113.0 1.0
ar[444] 0.2 0.0 0.3 -0.4 0.0 0.2 0.4 1.0 172.0 1.0
ar[445] 0.5 0.1 0.4 -0.3 0.2 0.5 0.7 1.2 35.0 1.0
ar[446] -0.2 0.0 0.3 -0.8 -0.4 -0.1 0.1 0.5 43.0 1.1
ar[447] -1.2 0.1 0.4 -1.9 -1.5 -1.2 -0.9 -0.3 12.0 1.0
ar[448] -0.6 0.0 0.3 -1.2 -0.8 -0.6 -0.4 0.1 74.0 1.0
ar[449] 0.5 0.1 0.4 -0.2 0.3 0.6 0.8 1.2 36.0 1.0
ar[450] 0.9 0.0 0.3 0.2 0.7 0.9 1.1 1.6 190.0 1.0
ar[451] 1.4 0.1 0.4 0.6 1.2 1.4 1.6 2.0 28.0 1.0
ar[452] 1.1 0.0 0.3 0.3 0.9 1.1 1.3 1.7 191.0 1.0
ar[453] 0.5 0.0 0.3 -0.1 0.3 0.5 0.7 1.1 194.0 1.0
ar[454] -0.1 0.1 0.3 -0.7 -0.3 -0.1 0.1 0.6 33.0 1.0
ar[455] 0.1 0.1 0.4 -0.7 -0.2 0.1 0.3 0.7 29.0 1.0
ar[456] -1.3 0.2 0.5 -2.1 -1.7 -1.3 -0.9 -0.2 7.0 1.0
ar[457] -0.0 0.1 0.4 -1.0 -0.3 0.1 0.3 0.7 11.0 1.1
ar[458] -1.1 0.1 0.4 -1.8 -1.4 -1.2 -0.8 -0.2 10.0 1.0
ar[459] -0.8 0.0 0.4 -1.5 -1.1 -0.9 -0.6 -0.0 72.0 1.0
ar[460] -0.4 0.0 0.4 -1.1 -0.7 -0.5 -0.2 0.4 71.0 1.0
ar[461] 0.5 0.1 0.4 -0.3 0.3 0.5 0.8 1.2 23.0 1.1
ar[462] 0.6 0.0 0.3 -0.1 0.4 0.6 0.8 1.3 55.0 1.0
ar[463] 0.3 0.0 0.4 -0.3 0.1 0.3 0.5 1.1 88.0 1.0
ar[464] 0.5 0.0 0.3 -0.2 0.2 0.5 0.7 1.2 82.0 1.0
ar[465] 0.3 0.0 0.3 -0.4 0.0 0.2 0.5 1.0 89.0 1.0
ar[466] 0.8 0.1 0.4 -0.2 0.5 0.8 1.1 1.5 10.0 1.1
ar[467] -0.7 0.1 0.4 -1.4 -1.0 -0.7 -0.4 0.1 16.0 1.0
ar[468] -0.9 0.0 0.3 -1.6 -1.1 -0.9 -0.7 -0.2 132.0 1.0
ar[469] -1.2 0.1 0.4 -1.9 -1.5 -1.2 -1.0 -0.4 17.0 1.0
ar[470] -0.5 0.0 0.3 -1.2 -0.7 -0.5 -0.3 0.2 87.0 1.0
ar[471] -0.2 0.0 0.4 -0.9 -0.4 -0.2 0.0 0.5 94.0 1.0
ar[472] -0.2 0.0 0.3 -0.8 -0.4 -0.2 0.0 0.5 75.0 1.0
ar[473] -0.3 0.1 0.4 -1.0 -0.6 -0.3 -0.1 0.4 47.0 1.0
ar[474] 0.3 0.0 0.3 -0.4 0.1 0.3 0.5 0.9 101.0 1.0
ar[475] 0.7 0.0 0.4 -0.0 0.5 0.7 1.0 1.4 63.0 1.0
ar[476] 1.2 0.1 0.4 0.3 0.9 1.2 1.4 1.8 19.0 1.0
ar[477] 0.3 0.0 0.4 -0.4 0.1 0.3 0.5 1.0 72.0 1.0
ar[478] -0.5 0.0 0.4 -1.2 -0.8 -0.6 -0.3 0.2 95.0 1.0
ar[479] -1.3 0.1 0.4 -2.0 -1.6 -1.4 -1.1 -0.5 14.0 1.0
ar[480] -1.0 0.1 0.4 -1.6 -1.3 -1.1 -0.8 -0.3 30.0 1.0
ar[481] -0.4 0.0 0.3 -1.1 -0.6 -0.4 -0.2 0.4 63.0 1.0
ar[482] 0.4 0.1 0.4 -0.5 0.1 0.5 0.7 1.1 17.0 1.0
ar[483] -0.6 0.1 0.4 -1.3 -0.9 -0.6 -0.3 0.3 16.0 1.0
ar[484] -0.4 0.0 0.4 -1.1 -0.6 -0.4 -0.1 0.5 89.0 1.0
ar[485] 0.4 0.0 0.4 -0.4 0.2 0.5 0.7 1.1 88.0 1.0
ar[486] 0.8 0.1 0.4 0.0 0.6 0.9 1.1 1.6 53.0 1.0
ar[487] 0.7 0.0 0.3 0.1 0.5 0.7 0.9 1.4 64.0 1.0
ar[488] 0.4 0.0 0.4 -0.2 0.2 0.4 0.6 1.2 71.0 1.0
ar[489] 0.7 0.1 0.4 -0.1 0.5 0.8 1.0 1.4 23.0 1.0
ar[490] -0.2 0.1 0.4 -1.0 -0.4 -0.2 0.0 0.6 39.0 1.0
ar[491] -0.4 0.0 0.4 -1.1 -0.6 -0.4 -0.1 0.5 73.0 1.0
s_trend 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 12.0 1.0
s_ar 0.6 0.1 0.1 0.3 0.6 0.7 0.7 0.8 5.0 1.1
s_tot 0.4 0.1 0.1 0.2 0.3 0.4 0.5 0.6 4.0 1.1
lp__ 4116.6 80.6197.33693.23982.84094.84267.94481.1 6.0 1.0
Samples were drawn using NUTS(diag_e) at Sun Mar 16 00:41:50 2014.
For each parameter, n_eff is a crude measure of effective sample size,
and Rhat is the potential scale reduction factor on split chains (at
convergence, Rhat=1).
Inference for Stan model: anon_model_153d98558ea7658ccfb20fd217ec5652.
1 chains, each with iter=2000; warmup=1000; thin=1;
post-warmup draws per chain=1000, total post-warmup draws=1000.
mean se_mean sd 2.5% 25% 50% 75% 97.5% n_eff Rhat
trend[0] -0.7 0.1 0.3 -1.2 -0.8 -0.6 -0.5 -0.1 16.0 1.0
trend[1] -0.6 0.1 0.3 -1.1 -0.8 -0.6 -0.5 -0.2 16.0 1.0
trend[2] -0.6 0.1 0.3 -1.1 -0.8 -0.6 -0.5 -0.2 15.0 1.0
trend[3] -0.6 0.1 0.2 -1.1 -0.8 -0.6 -0.5 -0.2 15.0 1.0
trend[4] -0.6 0.1 0.2 -1.1 -0.8 -0.6 -0.5 -0.2 15.0 1.0
trend[5] -0.6 0.1 0.2 -1.1 -0.8 -0.6 -0.5 -0.2 14.0 1.0
trend[6] -0.6 0.1 0.2 -1.0 -0.8 -0.6 -0.5 -0.2 14.0 1.0
trend[7] -0.6 0.1 0.2 -1.0 -0.8 -0.6 -0.5 -0.2 14.0 1.0
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trend[196] -0.2 0.1 0.2 -0.5 -0.3 -0.2 -0.0 0.2 4.0 1.4
trend[197] -0.2 0.1 0.2 -0.5 -0.3 -0.1 -0.0 0.2 4.0 1.4
trend[198] -0.2 0.1 0.2 -0.5 -0.3 -0.1 -0.0 0.2 4.0 1.4
trend[199] -0.1 0.1 0.2 -0.5 -0.3 -0.1 -0.0 0.2 4.0 1.4
trend[200] -0.1 0.1 0.2 -0.5 -0.3 -0.1 0.0 0.2 4.0 1.4
trend[201] -0.1 0.1 0.2 -0.5 -0.3 -0.1 0.0 0.2 4.0 1.4
trend[202] -0.1 0.1 0.2 -0.5 -0.3 -0.1 0.0 0.2 4.0 1.4
trend[203] -0.1 0.1 0.2 -0.5 -0.3 -0.1 0.0 0.2 4.0 1.4
trend[204] -0.1 0.1 0.2 -0.5 -0.3 -0.1 0.0 0.2 4.0 1.4
trend[205] -0.1 0.1 0.2 -0.5 -0.3 -0.1 0.0 0.2 4.0 1.4
trend[206] -0.1 0.1 0.2 -0.5 -0.3 -0.1 0.0 0.2 4.0 1.4
trend[207] -0.1 0.1 0.2 -0.4 -0.3 -0.1 0.0 0.2 4.0 1.4
trend[208] -0.1 0.1 0.2 -0.4 -0.2 -0.1 0.0 0.2 4.0 1.4
trend[209] -0.1 0.1 0.2 -0.4 -0.2 -0.1 0.0 0.2 4.0 1.4
trend[210] -0.1 0.1 0.2 -0.4 -0.2 -0.1 0.0 0.2 4.0 1.4
trend[211] -0.1 0.1 0.2 -0.4 -0.2 -0.1 0.0 0.2 4.0 1.4
trend[212] -0.1 0.1 0.2 -0.4 -0.2 -0.1 0.1 0.2 4.0 1.4
trend[213] -0.1 0.1 0.2 -0.4 -0.2 -0.1 0.1 0.2 4.0 1.4
trend[214] -0.1 0.1 0.2 -0.4 -0.2 -0.1 0.1 0.2 4.0 1.4
trend[215] -0.1 0.1 0.2 -0.4 -0.2 -0.1 0.1 0.2 4.0 1.3
trend[216] -0.1 0.1 0.2 -0.4 -0.2 -0.1 0.1 0.2 4.0 1.3
trend[217] -0.1 0.1 0.2 -0.4 -0.2 -0.1 0.1 0.2 4.0 1.3
trend[218] -0.1 0.1 0.2 -0.4 -0.2 -0.1 0.1 0.2 4.0 1.3
trend[219] -0.1 0.1 0.2 -0.4 -0.2 -0.1 0.1 0.2 4.0 1.3
trend[220] -0.1 0.1 0.2 -0.4 -0.2 -0.1 0.1 0.2 4.0 1.3
trend[221] -0.1 0.1 0.2 -0.4 -0.2 -0.0 0.1 0.2 4.0 1.3
trend[222] -0.1 0.1 0.2 -0.4 -0.2 -0.0 0.1 0.2 5.0 1.3
trend[223] -0.1 0.1 0.2 -0.4 -0.2 -0.0 0.1 0.2 5.0 1.3
trend[224] -0.1 0.1 0.1 -0.3 -0.2 -0.0 0.1 0.2 5.0 1.2
trend[225] -0.1 0.1 0.1 -0.3 -0.2 -0.0 0.1 0.2 5.0 1.2
trend[226] -0.1 0.1 0.1 -0.3 -0.2 -0.0 0.1 0.2 5.0 1.2
trend[227] -0.1 0.1 0.1 -0.3 -0.2 -0.0 0.0 0.2 5.0 1.2
trend[228] -0.1 0.1 0.1 -0.3 -0.2 -0.0 0.0 0.2 5.0 1.2
trend[229] -0.1 0.1 0.1 -0.3 -0.2 -0.0 0.0 0.2 6.0 1.2
trend[230] -0.1 0.1 0.1 -0.3 -0.2 -0.0 0.0 0.2 6.0 1.2
trend[231] -0.1 0.1 0.1 -0.3 -0.2 -0.0 0.0 0.2 6.0 1.2
trend[232] -0.1 0.0 0.1 -0.3 -0.2 -0.0 0.0 0.2 7.0 1.1
trend[233] -0.1 0.0 0.1 -0.3 -0.2 -0.0 0.0 0.2 7.0 1.1
trend[234] -0.1 0.0 0.1 -0.3 -0.2 -0.0 0.0 0.2 7.0 1.1
trend[235] -0.1 0.0 0.1 -0.3 -0.2 -0.0 0.0 0.2 8.0 1.1
trend[236] -0.1 0.0 0.1 -0.3 -0.2 -0.0 0.0 0.2 8.0 1.1
trend[237] -0.1 0.0 0.1 -0.3 -0.2 -0.0 0.0 0.2 9.0 1.1
trend[238] -0.1 0.0 0.1 -0.3 -0.2 -0.0 0.0 0.2 9.0 1.1
trend[239] -0.1 0.0 0.1 -0.3 -0.2 -0.0 0.0 0.2 10.0 1.1
trend[240] -0.1 0.0 0.1 -0.3 -0.1 -0.0 0.0 0.2 11.0 1.1
trend[241] -0.1 0.0 0.1 -0.3 -0.1 -0.0 0.0 0.2 11.0 1.0
trend[242] -0.1 0.0 0.1 -0.3 -0.1 -0.0 0.0 0.2 12.0 1.0
trend[243] -0.1 0.0 0.1 -0.3 -0.1 -0.0 0.0 0.2 12.0 1.0
trend[244] -0.1 0.0 0.1 -0.3 -0.1 -0.0 0.0 0.2 13.0 1.0
trend[245] -0.1 0.0 0.1 -0.3 -0.1 -0.0 0.0 0.2 13.0 1.0
trend[246] -0.1 0.0 0.1 -0.3 -0.1 -0.0 0.0 0.2 13.0 1.0
trend[247] -0.0 0.0 0.1 -0.3 -0.1 -0.0 0.0 0.2 14.0 1.0
trend[248] -0.0 0.0 0.1 -0.3 -0.1 -0.0 0.0 0.2 14.0 1.0
trend[249] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 15.0 1.0
trend[250] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 15.0 1.0
trend[251] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 15.0 1.0
trend[252] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 15.0 1.0
trend[253] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 15.0 1.0
trend[254] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 15.0 1.0
trend[255] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 15.0 1.0
trend[256] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 15.0 1.0
trend[257] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 15.0 1.0
trend[258] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 15.0 1.0
trend[259] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 15.0 1.0
trend[260] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 14.0 1.0
trend[261] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 14.0 1.0
trend[262] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 14.0 1.0
trend[263] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 14.0 1.0
trend[264] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 13.0 1.1
trend[265] 0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 13.0 1.1
trend[266] 0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 13.0 1.1
trend[267] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 12.0 1.1
trend[268] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.3 12.0 1.1
trend[269] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.3 12.0 1.1
trend[270] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.3 12.0 1.1
trend[271] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.3 11.0 1.1
trend[272] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.3 11.0 1.1
trend[273] 0.0 0.0 0.1 -0.1 -0.0 0.0 0.1 0.3 11.0 1.1
trend[274] 0.0 0.0 0.1 -0.1 -0.0 0.0 0.1 0.3 10.0 1.1
trend[275] 0.0 0.0 0.1 -0.1 -0.0 0.0 0.1 0.3 10.0 1.2
trend[276] 0.0 0.0 0.1 -0.1 -0.0 0.0 0.1 0.3 10.0 1.2
trend[277] 0.1 0.0 0.1 -0.1 -0.0 0.0 0.1 0.3 9.0 1.2
trend[278] 0.1 0.0 0.1 -0.1 -0.0 0.0 0.1 0.3 9.0 1.2
trend[279] 0.1 0.0 0.1 -0.1 -0.0 0.1 0.1 0.3 8.0 1.2
trend[280] 0.1 0.0 0.1 -0.1 -0.0 0.1 0.1 0.3 8.0 1.3
trend[281] 0.1 0.0 0.1 -0.1 -0.0 0.1 0.1 0.3 8.0 1.3
trend[282] 0.1 0.0 0.1 -0.1 0.0 0.1 0.1 0.3 7.0 1.3
trend[283] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 7.0 1.4
trend[284] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 6.0 1.4
trend[285] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 6.0 1.4
trend[286] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 6.0 1.5
trend[287] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.5
trend[288] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 5.0 1.6
trend[289] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 5.0 1.6
trend[290] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 4.0 1.7
trend[291] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 4.0 1.7
trend[292] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 4.0 1.8
trend[293] 0.2 0.1 0.1 -0.1 0.0 0.1 0.3 0.4 4.0 1.8
trend[294] 0.2 0.1 0.1 -0.0 0.0 0.2 0.3 0.4 3.0 1.9
trend[295] 0.2 0.1 0.1 -0.0 0.0 0.2 0.3 0.4 3.0 1.9
trend[296] 0.2 0.1 0.1 -0.0 0.1 0.2 0.3 0.4 3.0 1.9
trend[297] 0.2 0.1 0.1 -0.0 0.1 0.2 0.3 0.4 3.0 2.0
trend[298] 0.2 0.1 0.1 -0.0 0.1 0.2 0.3 0.4 3.0 2.0
trend[299] 0.2 0.1 0.1 -0.0 0.1 0.2 0.3 0.5 3.0 2.0
trend[300] 0.2 0.1 0.2 -0.0 0.1 0.2 0.3 0.5 3.0 2.1
trend[301] 0.2 0.1 0.2 -0.0 0.1 0.2 0.3 0.5 3.0 2.1
trend[302] 0.2 0.1 0.2 -0.0 0.1 0.2 0.3 0.5 3.0 2.1
trend[303] 0.2 0.1 0.2 -0.0 0.1 0.2 0.4 0.5 3.0 2.1
trend[304] 0.2 0.1 0.2 -0.0 0.1 0.2 0.4 0.5 3.0 2.1
trend[305] 0.2 0.1 0.2 -0.0 0.1 0.2 0.4 0.5 3.0 2.1
trend[306] 0.2 0.1 0.2 -0.0 0.1 0.2 0.4 0.6 3.0 2.2
trend[307] 0.2 0.1 0.2 -0.0 0.1 0.2 0.4 0.6 3.0 2.2
trend[308] 0.3 0.1 0.2 -0.0 0.1 0.3 0.4 0.6 3.0 2.2
trend[309] 0.3 0.1 0.2 -0.0 0.1 0.3 0.4 0.6 3.0 2.2
trend[310] 0.3 0.1 0.2 -0.0 0.1 0.3 0.4 0.6 3.0 2.2
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trend[312] 0.3 0.1 0.2 -0.0 0.1 0.3 0.4 0.6 3.0 2.1
trend[313] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.1
trend[314] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.1
trend[315] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.7 3.0 2.1
trend[316] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.7 3.0 2.1
trend[317] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.7 3.0 2.1
trend[318] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.7 3.0 2.1
trend[319] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.7 3.0 2.1
trend[320] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.7 3.0 2.0
trend[321] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.7 3.0 2.0
trend[322] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.7 3.0 2.0
trend[323] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.7 3.0 2.0
trend[324] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.7 3.0 2.0
trend[325] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.7 3.0 2.0
trend[326] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.7 3.0 1.9
trend[327] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.7 3.0 1.9
trend[328] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.7 3.0 1.9
trend[329] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.7 3.0 1.9
trend[330] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.7 3.0 1.9
trend[331] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.7 3.0 1.9
trend[332] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.7 3.0 1.8
trend[333] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.7 3.0 1.8
trend[334] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.7 3.0 1.8
trend[335] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.7 3.0 1.8
trend[336] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.7 3.0 1.8
trend[337] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.7 3.0 1.8
trend[338] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.7 3.0 1.8
trend[339] 0.3 0.1 0.2 0.1 0.2 0.3 0.4 0.7 3.0 1.7
trend[340] 0.3 0.1 0.2 0.1 0.2 0.3 0.4 0.7 3.0 1.7
trend[341] 0.3 0.1 0.2 0.1 0.2 0.3 0.4 0.7 3.0 1.7
trend[342] 0.3 0.1 0.2 0.1 0.2 0.3 0.4 0.7 3.0 1.7
trend[343] 0.3 0.1 0.2 0.1 0.2 0.3 0.4 0.7 3.0 1.7
trend[344] 0.3 0.1 0.2 0.1 0.2 0.3 0.4 0.7 3.0 1.7
trend[345] 0.3 0.1 0.2 0.1 0.2 0.3 0.4 0.7 3.0 1.7
trend[346] 0.3 0.1 0.2 0.1 0.2 0.3 0.4 0.7 3.0 1.7
trend[347] 0.3 0.1 0.2 0.1 0.2 0.3 0.4 0.7 3.0 1.6
trend[348] 0.3 0.1 0.2 0.1 0.2 0.3 0.4 0.6 3.0 1.6
trend[349] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 3.0 1.6
trend[350] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 3.0 1.6
trend[351] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 3.0 1.6
trend[352] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 3.0 1.6
trend[353] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 3.0 1.6
trend[354] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 4.0 1.5
trend[355] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 4.0 1.5
trend[356] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 4.0 1.5
trend[357] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 4.0 1.5
trend[358] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 4.0 1.5
trend[359] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 4.0 1.5
trend[360] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 4.0 1.5
trend[361] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 4.0 1.4
trend[362] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 4.0 1.4
trend[363] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 4.0 1.4
trend[364] 0.3 0.0 0.1 0.2 0.2 0.3 0.4 0.5 5.0 1.4
trend[365] 0.3 0.0 0.1 0.2 0.2 0.3 0.4 0.5 5.0 1.4
trend[366] 0.3 0.0 0.1 0.2 0.2 0.3 0.4 0.5 5.0 1.3
trend[367] 0.3 0.0 0.1 0.2 0.2 0.3 0.4 0.5 5.0 1.3
trend[368] 0.3 0.0 0.1 0.2 0.2 0.3 0.4 0.5 5.0 1.3
trend[369] 0.3 0.0 0.1 0.2 0.2 0.3 0.4 0.5 5.0 1.3
trend[370] 0.3 0.0 0.1 0.2 0.2 0.3 0.4 0.5 6.0 1.3
trend[371] 0.3 0.0 0.1 0.2 0.2 0.3 0.4 0.5 6.0 1.3
trend[372] 0.3 0.0 0.1 0.2 0.2 0.3 0.4 0.5 6.0 1.2
trend[373] 0.3 0.0 0.1 0.2 0.2 0.3 0.4 0.5 6.0 1.2
trend[374] 0.3 0.0 0.1 0.2 0.2 0.3 0.4 0.5 7.0 1.2
trend[375] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.2
trend[376] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.1
trend[377] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.4 8.0 1.1
trend[378] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.4 8.0 1.1
trend[379] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 9.0 1.1
trend[380] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 9.0 1.1
trend[381] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 9.0 1.0
trend[382] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 10.0 1.0
trend[383] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 10.0 1.0
trend[384] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 11.0 1.0
trend[385] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 11.0 1.0
trend[386] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 11.0 1.0
trend[387] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 11.0 1.0
trend[388] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 11.0 1.0
trend[389] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 11.0 1.0
trend[390] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 11.0 1.0
trend[391] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 11.0 1.0
trend[392] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 11.0 1.0
trend[393] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 11.0 1.0
trend[394] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 10.0 1.0
trend[395] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 10.0 1.0
trend[396] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 10.0 1.1
trend[397] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 9.0 1.1
trend[398] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 9.0 1.1
trend[399] 0.3 0.0 0.1 0.1 0.2 0.3 0.3 0.4 8.0 1.1
trend[400] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.4 8.0 1.1
trend[401] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.4 8.0 1.2
trend[402] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.4 7.0 1.2
trend[403] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.4 7.0 1.2
trend[404] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.4 7.0 1.2
trend[405] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 7.0 1.2
trend[406] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 6.0 1.3
trend[407] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 6.0 1.3
trend[408] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 6.0 1.3
trend[409] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 6.0 1.3
trend[410] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 6.0 1.3
trend[411] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 6.0 1.4
trend[412] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 6.0 1.4
trend[413] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 5.0 1.4
trend[414] 0.3 0.0 0.1 0.1 0.2 0.3 0.4 0.5 5.0 1.4
trend[415] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 5.0 1.4
trend[416] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 5.0 1.4
trend[417] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 5.0 1.5
trend[418] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 5.0 1.5
trend[419] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 5.0 1.5
trend[420] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 5.0 1.5
trend[421] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 5.0 1.5
trend[422] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 5.0 1.5
trend[423] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 5.0 1.6
trend[424] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 4.0 1.6
trend[425] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 4.0 1.6
trend[426] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 4.0 1.6
trend[427] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 4.0 1.6
trend[428] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 4.0 1.7
trend[429] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 4.0 1.7
trend[430] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.5 4.0 1.7
trend[431] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 4.0 1.7
trend[432] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 4.0 1.8
trend[433] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 4.0 1.8
trend[434] 0.3 0.1 0.1 0.1 0.2 0.3 0.4 0.6 4.0 1.8
trend[435] 0.3 0.1 0.1 0.0 0.2 0.3 0.4 0.6 4.0 1.9
trend[436] 0.3 0.1 0.1 0.0 0.2 0.3 0.4 0.6 4.0 1.9
trend[437] 0.3 0.1 0.1 0.0 0.2 0.3 0.4 0.6 4.0 1.9
trend[438] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.6 4.0 1.9
trend[439] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.6 3.0 2.0
trend[440] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.6 3.0 2.0
trend[441] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.6 3.0 2.0
trend[442] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.6 3.0 2.0
trend[443] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.6 3.0 2.1
trend[444] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.6 3.0 2.1
trend[445] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.6 3.0 2.1
trend[446] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.6 3.0 2.1
trend[447] 0.3 0.1 0.2 0.0 0.2 0.3 0.4 0.6 3.0 2.2
trend[448] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.2
trend[449] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.2
trend[450] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.2
trend[451] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.3
trend[452] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.3
trend[453] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.3
trend[454] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.3
trend[455] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.3
trend[456] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.3
trend[457] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.4
trend[458] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.4
trend[459] 0.3 0.1 0.2 0.0 0.1 0.3 0.4 0.6 3.0 2.4
trend[460] 0.3 0.1 0.2 -0.0 0.1 0.3 0.4 0.6 3.0 2.4
trend[461] 0.3 0.1 0.2 -0.0 0.1 0.3 0.5 0.6 3.0 2.4
trend[462] 0.3 0.1 0.2 -0.0 0.1 0.3 0.5 0.6 3.0 2.5
trend[463] 0.3 0.1 0.2 -0.0 0.1 0.3 0.5 0.6 3.0 2.5
trend[464] 0.3 0.1 0.2 -0.0 0.1 0.3 0.5 0.6 3.0 2.5
trend[465] 0.3 0.1 0.2 -0.0 0.1 0.3 0.5 0.6 3.0 2.5
trend[466] 0.3 0.1 0.2 -0.0 0.1 0.3 0.5 0.6 3.0 2.5
trend[467] 0.3 0.1 0.2 -0.0 0.1 0.3 0.5 0.6 3.0 2.5
trend[468] 0.3 0.1 0.2 -0.0 0.1 0.3 0.5 0.6 3.0 2.5
trend[469] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.6 3.0 2.5
trend[470] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.6 3.0 2.5
trend[471] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.6 3.0 2.5
trend[472] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.6 3.0 2.5
trend[473] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.6 3.0 2.5
trend[474] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.7 3.0 2.5
trend[475] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.7 3.0 2.5
trend[476] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.7 3.0 2.4
trend[477] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.7 3.0 2.4
trend[478] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.7 3.0 2.4
trend[479] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.7 3.0 2.3
trend[480] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.7 3.0 2.3
trend[481] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.7 3.0 2.3
trend[482] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.7 3.0 2.2
trend[483] 0.3 0.1 0.2 -0.1 0.1 0.3 0.5 0.7 3.0 2.2
trend[484] 0.3 0.1 0.2 -0.2 0.1 0.3 0.5 0.7 3.0 2.1
trend[485] 0.3 0.1 0.2 -0.2 0.1 0.3 0.5 0.7 3.0 2.1
trend[486] 0.3 0.1 0.2 -0.2 0.1 0.3 0.5 0.7 3.0 2.0
trend[487] 0.3 0.1 0.3 -0.2 0.1 0.3 0.5 0.7 3.0 2.0
trend[488] 0.3 0.2 0.3 -0.2 0.1 0.3 0.5 0.7 3.0 2.0
trend[489] 0.3 0.2 0.3 -0.2 0.1 0.3 0.5 0.7 3.0 1.9
trend[490] 0.3 0.2 0.3 -0.3 0.1 0.3 0.5 0.7 3.0 1.9
trend[491] 0.3 0.1 0.3 -0.3 0.1 0.3 0.5 0.7 4.0 1.9
mm[0] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 20.0 1.0
mm[1] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 13.0 1.0
mm[2] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.1 15.0 1.2
mm[3] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.2 0.3 8.0 1.2
mm[4] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 9.0 1.1
mm[5] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.4 6.0 1.3
mm[6] 0.2 0.0 0.1 -0.0 0.1 0.2 0.3 0.4 17.0 1.0
mm[7] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 6.0 1.3
mm[8] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 12.0 1.1
mm[9] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 5.0 1.6
mm[10] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 16.0 1.0
mm[11] -0.1 0.0 0.1 -0.4 -0.2 -0.1 -0.0 0.1 6.0 1.4
mm[12] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 19.0 1.1
mm[13] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.0
mm[14] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.1 15.0 1.2
mm[15] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.2 0.3 8.0 1.2
mm[16] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[17] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.4 6.0 1.3
mm[18] 0.2 0.0 0.1 -0.0 0.1 0.2 0.3 0.4 16.0 1.0
mm[19] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 6.0 1.3
mm[20] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 12.0 1.1
mm[21] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.2 5.0 1.6
mm[22] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 15.0 1.0
mm[23] -0.1 0.1 0.1 -0.4 -0.2 -0.1 -0.0 0.1 5.0 1.4
mm[24] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 19.0 1.1
mm[25] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.0
mm[26] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.1 14.0 1.2
mm[27] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.2 0.2 8.0 1.2
mm[28] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[29] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.4 6.0 1.3
mm[30] 0.2 0.0 0.1 0.0 0.1 0.2 0.3 0.4 16.0 1.0
mm[31] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 6.0 1.3
mm[32] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 12.0 1.1
mm[33] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 5.0 1.6
mm[34] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 15.0 1.0
mm[35] -0.1 0.1 0.1 -0.4 -0.2 -0.1 -0.0 0.1 5.0 1.4
mm[36] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 19.0 1.1
mm[37] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.0
mm[38] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.1 14.0 1.2
mm[39] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.2 0.2 8.0 1.2
mm[40] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[41] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.4 6.0 1.3
mm[42] 0.2 0.0 0.1 0.0 0.1 0.2 0.3 0.4 16.0 1.0
mm[43] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 6.0 1.3
mm[44] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 11.0 1.0
mm[45] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 5.0 1.7
mm[46] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 14.0 1.0
mm[47] -0.1 0.1 0.1 -0.4 -0.2 -0.1 -0.0 0.1 5.0 1.4
mm[48] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 18.0 1.1
mm[49] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.0
mm[50] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.1 14.0 1.2
mm[51] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.2 0.2 8.0 1.2
mm[52] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[53] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.4 6.0 1.3
mm[54] 0.2 0.0 0.1 0.0 0.1 0.2 0.3 0.4 15.0 1.0
mm[55] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[56] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 11.0 1.1
mm[57] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 5.0 1.7
mm[58] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 14.0 1.0
mm[59] -0.1 0.1 0.1 -0.4 -0.2 -0.1 -0.0 0.1 5.0 1.5
mm[60] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 18.0 1.1
mm[61] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 11.0 1.0
mm[62] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.1 14.0 1.2
mm[63] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.2 0.2 8.0 1.2
mm[64] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[65] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.4 6.0 1.3
mm[66] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.4 15.0 1.0
mm[67] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[68] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 11.0 1.1
mm[69] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 5.0 1.7
mm[70] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 14.0 1.0
mm[71] -0.1 0.0 0.1 -0.4 -0.2 -0.1 -0.0 0.1 5.0 1.5
mm[72] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 18.0 1.1
mm[73] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 11.0 1.0
mm[74] -0.1 0.0 0.1 -0.3 -0.1 -0.1 -0.0 0.1 14.0 1.2
mm[75] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.2
mm[76] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[77] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.4 6.0 1.3
mm[78] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.4 15.0 1.0
mm[79] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[80] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 11.0 1.1
mm[81] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 5.0 1.8
mm[82] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 13.0 1.0
mm[83] -0.1 0.0 0.1 -0.4 -0.2 -0.1 -0.0 0.1 5.0 1.5
mm[84] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 18.0 1.1
mm[85] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 11.0 1.0
mm[86] -0.1 0.0 0.1 -0.3 -0.2 -0.1 0.0 0.1 14.0 1.2
mm[87] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.2
mm[88] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[89] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.4 6.0 1.3
mm[90] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.4 14.0 1.0
mm[91] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[92] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 11.0 1.0
mm[93] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 1.8
mm[94] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 13.0 1.0
mm[95] -0.1 0.0 0.1 -0.4 -0.2 -0.1 -0.0 0.1 5.0 1.5
mm[96] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 17.0 1.1
mm[97] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 11.0 1.0
mm[98] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.1 13.0 1.2
mm[99] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.2
mm[100] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[101] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.4 6.0 1.3
mm[102] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.4 14.0 1.0
mm[103] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[104] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 11.0 1.1
mm[105] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 1.8
mm[106] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 13.0 1.0
mm[107] -0.1 0.0 0.1 -0.4 -0.2 -0.1 -0.0 0.1 5.0 1.5
mm[108] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 15.0 1.1
mm[109] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 10.0 1.0
mm[110] -0.1 0.0 0.1 -0.3 -0.1 -0.1 -0.0 0.1 13.0 1.2
mm[111] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.3
mm[112] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[113] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.3 5.0 1.3
mm[114] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.4 14.0 1.0
mm[115] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[116] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 11.0 1.0
mm[117] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 1.8
mm[118] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 12.0 1.0
mm[119] -0.1 0.0 0.1 -0.4 -0.2 -0.1 -0.0 0.1 5.0 1.5
mm[120] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 15.0 1.1
mm[121] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 10.0 1.0
mm[122] -0.1 0.0 0.1 -0.3 -0.1 -0.1 -0.0 0.1 13.0 1.2
mm[123] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.2
mm[124] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[125] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.3 5.0 1.3
mm[126] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.4 14.0 1.0
mm[127] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[128] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 11.0 1.0
mm[129] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 1.9
mm[130] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 12.0 1.0
mm[131] -0.1 0.0 0.1 -0.4 -0.2 -0.1 -0.0 0.1 5.0 1.5
mm[132] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 15.0 1.1
mm[133] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 10.0 1.0
mm[134] -0.1 0.0 0.1 -0.3 -0.1 -0.1 -0.0 0.1 13.0 1.2
mm[135] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.2
mm[136] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[137] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.3 5.0 1.3
mm[138] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 13.0 1.0
mm[139] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[140] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 10.0 1.0
mm[141] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 1.9
mm[142] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 12.0 1.0
mm[143] -0.1 0.0 0.1 -0.4 -0.2 -0.1 -0.0 0.1 5.0 1.5
mm[144] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 15.0 1.1
mm[145] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 10.0 1.0
mm[146] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 13.0 1.2
mm[147] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.2
mm[148] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[149] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.3 5.0 1.3
mm[150] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 13.0 1.0
mm[151] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[152] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 10.0 1.0
mm[153] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 1.9
mm[154] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 11.0 1.0
mm[155] -0.1 0.1 0.1 -0.3 -0.2 -0.1 -0.0 0.1 4.0 1.5
mm[156] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 14.0 1.1
mm[157] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 10.0 1.0
mm[158] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 13.0 1.2
mm[159] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.2
mm[160] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[161] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.3 5.0 1.3
mm[162] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 13.0 1.0
mm[163] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[164] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 10.0 1.0
mm[165] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 1.9
mm[166] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 11.0 1.0
mm[167] -0.1 0.1 0.1 -0.3 -0.2 -0.1 -0.0 0.1 4.0 1.5
mm[168] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 14.0 1.1
mm[169] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[170] -0.1 0.0 0.1 -0.3 -0.1 -0.1 -0.0 0.1 13.0 1.3
mm[171] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.3
mm[172] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[173] 0.1 0.1 0.1 -0.2 0.0 0.1 0.2 0.3 5.0 1.3
mm[174] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[175] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[176] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 10.0 1.0
mm[177] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 2.0
mm[178] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 11.0 1.0
mm[179] -0.1 0.1 0.1 -0.3 -0.2 -0.1 -0.0 0.1 4.0 1.5
mm[180] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 13.0 1.1
mm[181] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[182] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 13.0 1.3
mm[183] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.3
mm[184] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[185] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[186] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[187] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.4
mm[188] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 10.0 1.0
mm[189] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 2.0
mm[190] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 11.0 1.0
mm[191] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.1 4.0 1.5
mm[192] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 13.0 1.1
mm[193] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[194] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.3
mm[195] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.3
mm[196] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[197] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[198] 0.2 0.0 0.1 0.0 0.1 0.2 0.3 0.3 12.0 1.0
mm[199] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[200] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 10.0 1.0
mm[201] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 2.1
mm[202] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[203] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[204] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 13.0 1.1
mm[205] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[206] -0.1 0.0 0.1 -0.3 -0.1 -0.1 -0.0 0.1 12.0 1.3
mm[207] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.3
mm[208] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[209] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[210] 0.2 0.0 0.1 0.0 0.1 0.2 0.3 0.3 12.0 1.0
mm[211] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 4.0 1.4
mm[212] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 10.0 1.0
mm[213] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 2.1
mm[214] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[215] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[216] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 13.0 1.1
mm[217] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[218] -0.1 0.0 0.1 -0.3 -0.1 -0.1 -0.0 0.1 12.0 1.3
mm[219] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[220] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[221] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[222] 0.2 0.0 0.1 0.0 0.1 0.2 0.3 0.3 12.0 1.0
mm[223] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 4.0 1.4
mm[224] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 10.0 1.0
mm[225] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 2.1
mm[226] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[227] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[228] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.0 12.0 1.1
mm[229] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[230] -0.1 0.0 0.1 -0.3 -0.1 -0.1 -0.0 0.1 12.0 1.3
mm[231] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[232] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[233] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[234] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[235] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 4.0 1.4
mm[236] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 10.0 1.0
mm[237] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 2.1
mm[238] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[239] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[240] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 12.0 1.1
mm[241] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[242] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.3
mm[243] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[244] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[245] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[246] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[247] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 4.0 1.4
mm[248] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 10.0 1.0
mm[249] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 2.1
mm[250] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[251] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[252] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 12.0 1.1
mm[253] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[254] -0.1 0.0 0.1 -0.4 -0.1 -0.1 -0.0 0.1 12.0 1.3
mm[255] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[256] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[257] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[258] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[259] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 9.0 1.3
mm[260] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 9.0 1.0
mm[261] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 2.1
mm[262] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[263] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[264] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 12.0 1.1
mm[265] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[266] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.3
mm[267] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[268] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[269] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 5.0 1.3
mm[270] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[271] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 4.0 1.3
mm[272] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 9.0 1.0
mm[273] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 2.1
mm[274] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[275] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[276] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 12.0 1.1
mm[277] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[278] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.3
mm[279] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[280] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 8.0 1.1
mm[281] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 5.0 1.3
mm[282] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[283] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.3 4.0 1.3
mm[284] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 9.0 1.0
mm[285] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 2.0
mm[286] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[287] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[288] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 12.0 1.1
mm[289] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[290] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.3
mm[291] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[292] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.1
mm[293] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 5.0 1.3
mm[294] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[295] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 9.0 1.3
mm[296] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 9.0 1.0
mm[297] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 2.0
mm[298] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.1 10.0 1.0
mm[299] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[300] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 12.0 1.1
mm[301] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[302] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.3
mm[303] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[304] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.0
mm[305] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 5.0 1.3
mm[306] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[307] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 9.0 1.3
mm[308] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 9.0 1.0
mm[309] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 2.0
mm[310] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[311] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[312] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 12.0 1.1
mm[313] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[314] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 11.0 1.4
mm[315] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[316] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.0
mm[317] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 5.0 1.3
mm[318] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[319] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 9.0 1.3
mm[320] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 9.0 1.0
mm[321] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 1.9
mm[322] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[323] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[324] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 13.0 1.1
mm[325] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[326] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 11.0 1.4
mm[327] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[328] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.0
mm[329] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 5.0 1.3
mm[330] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[331] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 9.0 1.3
mm[332] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 9.0 1.0
mm[333] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.0 0.1 4.0 1.9
mm[334] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[335] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[336] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 13.0 1.1
mm[337] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[338] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.4
mm[339] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[340] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 8.0 1.0
mm[341] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 5.0 1.3
mm[342] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[343] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 9.0 1.3
mm[344] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 9.0 1.0
mm[345] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.1 4.0 1.8
mm[346] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[347] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[348] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 13.0 1.1
mm[349] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[350] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.4
mm[351] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[352] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 8.0 1.0
mm[353] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 5.0 1.3
mm[354] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[355] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 9.0 1.3
mm[356] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.0
mm[357] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.1 4.0 1.8
mm[358] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[359] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[360] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 12.0 1.1
mm[361] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[362] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.4
mm[363] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[364] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.0
mm[365] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 6.0 1.3
mm[366] 0.2 0.0 0.1 0.0 0.1 0.2 0.2 0.4 12.0 1.0
mm[367] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 9.0 1.3
mm[368] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.0
mm[369] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.1 5.0 1.8
mm[370] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[371] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.5
mm[372] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 13.0 1.1
mm[373] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[374] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.3
mm[375] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 7.0 1.3
mm[376] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 8.0 1.0
mm[377] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 6.0 1.3
mm[378] 0.2 0.0 0.1 -0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[379] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 9.0 1.3
mm[380] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.0
mm[381] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.1 5.0 1.8
mm[382] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[383] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.4
mm[384] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 13.0 1.1
mm[385] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[386] -0.1 0.0 0.1 -0.4 -0.1 -0.1 0.0 0.1 12.0 1.4
mm[387] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.3
mm[388] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 8.0 1.0
mm[389] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 6.0 1.3
mm[390] 0.2 0.0 0.1 -0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[391] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 9.0 1.3
mm[392] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.0
mm[393] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.1 5.0 1.8
mm[394] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[395] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.4
mm[396] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 13.0 1.1
mm[397] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 9.0 1.0
mm[398] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.4
mm[399] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.3
mm[400] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 9.0 1.0
mm[401] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 6.0 1.3
mm[402] 0.2 0.0 0.1 -0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[403] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 10.0 1.3
mm[404] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.0
mm[405] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.1 5.0 1.7
mm[406] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[407] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.4
mm[408] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 13.0 1.1
mm[409] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 10.0 1.0
mm[410] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.4
mm[411] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.3
mm[412] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 9.0 1.0
mm[413] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 6.0 1.3
mm[414] 0.2 0.0 0.1 -0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[415] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 10.0 1.3
mm[416] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.0
mm[417] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 5.0 1.7
mm[418] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[419] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.4
mm[420] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 13.0 1.1
mm[421] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 10.0 1.0
mm[422] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.4
mm[423] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.3
mm[424] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 9.0 1.0
mm[425] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 6.0 1.3
mm[426] 0.2 0.0 0.1 -0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[427] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 10.0 1.3
mm[428] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.0
mm[429] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 5.0 1.7
mm[430] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 10.0 1.0
mm[431] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.4
mm[432] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 13.0 1.1
mm[433] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 10.0 1.0
mm[434] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 12.0 1.4
mm[435] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.3
mm[436] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 9.0 1.0
mm[437] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 6.0 1.2
mm[438] 0.2 0.0 0.1 -0.0 0.1 0.2 0.2 0.3 12.0 1.0
mm[439] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 10.0 1.3
mm[440] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.0
mm[441] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 5.0 1.6
mm[442] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 11.0 1.0
mm[443] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.4
mm[444] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 14.0 1.1
mm[445] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 10.0 1.0
mm[446] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 13.0 1.4
mm[447] 0.0 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.3
mm[448] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 9.0 1.0
mm[449] 0.1 0.1 0.1 -0.1 0.0 0.1 0.3 0.4 6.0 1.2
mm[450] 0.2 0.0 0.1 -0.0 0.1 0.2 0.2 0.4 12.0 1.0
mm[451] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 10.0 1.2
mm[452] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.0
mm[453] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 7.0 1.6
mm[454] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 11.0 1.0
mm[455] -0.1 0.1 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.4
mm[456] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 14.0 1.1
mm[457] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.2 10.0 1.0
mm[458] -0.1 0.0 0.1 -0.3 -0.1 -0.1 0.0 0.1 13.0 1.4
mm[459] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.3
mm[460] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 9.0 1.0
mm[461] 0.1 0.1 0.1 -0.1 0.0 0.1 0.3 0.4 6.0 1.2
mm[462] 0.2 0.0 0.1 -0.0 0.1 0.2 0.2 0.3 13.0 1.0
mm[463] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 10.0 1.2
mm[464] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.0
mm[465] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 7.0 1.6
mm[466] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 11.0 1.0
mm[467] -0.1 0.1 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.4
mm[468] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 14.0 1.1
mm[469] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 10.0 1.0
mm[470] -0.1 0.0 0.1 -0.3 -0.1 -0.0 0.0 0.1 13.0 1.3
mm[471] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.3
mm[472] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 10.0 1.0
mm[473] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 6.0 1.2
mm[474] 0.2 0.0 0.1 -0.0 0.1 0.2 0.2 0.4 13.0 1.0
mm[475] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 11.0 1.2
mm[476] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.0
mm[477] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 8.0 1.6
mm[478] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 12.0 1.0
mm[479] -0.1 0.1 0.1 -0.3 -0.2 -0.1 -0.0 0.0 4.0 1.4
mm[480] -0.2 0.0 0.1 -0.4 -0.3 -0.2 -0.2 -0.1 14.0 1.1
mm[481] -0.1 0.0 0.1 -0.2 -0.1 -0.1 0.0 0.1 10.0 1.0
mm[482] -0.1 0.0 0.1 -0.3 -0.1 -0.0 0.0 0.1 13.0 1.3
mm[483] 0.0 0.0 0.1 -0.2 -0.0 0.0 0.1 0.2 8.0 1.3
mm[484] 0.0 0.0 0.1 -0.2 -0.1 0.0 0.1 0.2 10.0 1.0
mm[485] 0.1 0.1 0.1 -0.1 0.0 0.1 0.2 0.4 6.0 1.2
mm[486] 0.2 0.0 0.1 -0.0 0.1 0.2 0.2 0.3 13.0 1.0
mm[487] 0.1 0.0 0.1 -0.1 0.0 0.1 0.2 0.3 11.0 1.2
mm[488] 0.1 0.0 0.1 -0.2 -0.0 0.1 0.1 0.2 8.0 1.0
mm[489] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 8.0 1.5
mm[490] -0.0 0.0 0.1 -0.2 -0.1 -0.0 0.1 0.2 12.0 1.0
mm[491] -0.1 0.0 0.1 -0.3 -0.2 -0.1 -0.0 0.0 5.0 1.4
c_ar[0] 0.7 0.1 0.2 0.4 0.5 0.7 0.8 1.0 6.0 1.2
c_ar[1] -0.1 0.0 0.1 -0.4 -0.2 -0.1 -0.1 0.1 9.0 1.2
ar[0] 1.8 0.1 0.6 0.5 1.5 1.9 2.3 2.9 58.0 1.0
ar[1] 1.4 0.1 0.6 0.3 1.1 1.4 1.8 2.5 40.0 1.0
ar[2] 0.3 0.1 0.5 -0.6 -0.0 0.3 0.6 1.2 27.0 1.1
ar[3] 0.8 0.1 0.5 -0.2 0.5 0.8 1.2 1.8 13.0 1.0
ar[4] 0.3 0.1 0.4 -0.6 -0.0 0.3 0.6 1.1 36.0 1.0
ar[5] -0.0 0.1 0.4 -0.9 -0.3 -0.0 0.3 0.7 38.0 1.0
ar[6] 0.6 0.1 0.4 -0.2 0.3 0.6 0.9 1.4 32.0 1.0
ar[7] 0.6 0.1 0.4 -0.2 0.3 0.6 0.9 1.6 22.0 1.0
ar[8] -0.0 0.1 0.4 -0.8 -0.3 -0.0 0.3 0.9 66.0 1.0
ar[9] -0.2 0.1 0.4 -0.9 -0.5 -0.2 0.1 0.7 40.0 1.0
ar[10] -0.5 0.1 0.4 -1.3 -0.8 -0.5 -0.3 0.2 63.0 1.0
ar[11] -0.8 0.1 0.4 -1.6 -1.1 -0.8 -0.5 0.1 42.0 1.1
ar[12] -0.2 0.1 0.4 -1.0 -0.5 -0.2 0.0 0.6 51.0 1.0
ar[13] -0.3 0.0 0.4 -1.0 -0.6 -0.3 -0.0 0.5 74.0 1.0
ar[14] -0.3 0.1 0.4 -1.1 -0.6 -0.3 -0.1 0.5 50.0 1.0
ar[15] 0.2 0.1 0.4 -0.5 -0.1 0.2 0.5 1.0 30.0 1.0
ar[16] 0.3 0.1 0.4 -0.5 -0.0 0.3 0.5 1.1 29.0 1.0
ar[17] -0.2 0.0 0.4 -1.0 -0.4 -0.2 0.1 0.6 101.0 1.0
ar[18] -0.5 0.0 0.4 -1.3 -0.8 -0.5 -0.3 0.3 86.0 1.0
ar[19] -0.3 0.1 0.4 -1.1 -0.6 -0.3 -0.1 0.5 28.0 1.0
ar[20] -0.4 0.0 0.4 -1.1 -0.6 -0.4 -0.1 0.4 140.0 1.0
ar[21] -0.2 0.1 0.4 -1.1 -0.5 -0.2 0.1 0.7 21.0 1.0
ar[22] -0.7 0.0 0.4 -1.4 -0.9 -0.7 -0.4 0.1 121.0 1.0
ar[23] -0.5 0.0 0.4 -1.2 -0.7 -0.5 -0.3 0.2 131.0 1.0
ar[24] -0.2 0.0 0.4 -1.0 -0.4 -0.2 0.1 0.6 113.0 1.0
ar[25] -0.3 0.0 0.4 -1.0 -0.6 -0.3 -0.1 0.5 134.0 1.0
ar[26] -0.1 0.0 0.4 -0.9 -0.4 -0.1 0.1 0.6 57.0 1.1
ar[27] 0.2 0.1 0.4 -0.5 -0.0 0.3 0.5 0.9 30.0 1.0
ar[28] 0.0 0.0 0.4 -0.7 -0.2 0.0 0.3 0.7 103.0 1.0
ar[29] 0.1 0.0 0.4 -0.6 -0.1 0.1 0.4 0.8 90.0 1.0
ar[30] 0.3 0.0 0.4 -0.4 0.1 0.3 0.6 1.1 106.0 1.0
ar[31] 0.4 0.0 0.4 -0.3 0.2 0.4 0.7 1.2 119.0 1.0
ar[32] 0.9 0.1 0.4 0.1 0.6 0.9 1.2 1.7 17.0 1.0
ar[33] 0.6 0.0 0.4 -0.2 0.3 0.6 0.8 1.3 76.0 1.0
ar[34] 0.4 0.0 0.4 -0.3 0.2 0.4 0.7 1.2 102.0 1.0
ar[35] -0.1 0.0 0.4 -0.9 -0.4 -0.1 0.2 0.8 111.0 1.0
ar[36] 0.1 0.0 0.4 -0.6 -0.1 0.1 0.4 0.9 121.0 1.0
ar[37] 0.9 0.1 0.5 -0.1 0.6 0.9 1.2 1.8 14.0 1.1
ar[38] 0.3 0.1 0.4 -0.4 0.0 0.3 0.6 1.1 55.0 1.0
ar[39] 0.0 0.1 0.4 -0.7 -0.3 0.0 0.3 0.8 53.0 1.0
ar[40] 0.1 0.1 0.4 -0.7 -0.2 0.1 0.4 0.9 52.0 1.0
ar[41] -0.2 0.1 0.4 -1.0 -0.4 -0.1 0.1 0.6 36.0 1.0
ar[42] -0.5 0.0 0.4 -1.4 -0.8 -0.5 -0.3 0.3 133.0 1.0
ar[43] -1.0 0.0 0.4 -1.7 -1.2 -1.0 -0.7 -0.2 61.0 1.0
ar[44] -1.1 0.0 0.4 -1.8 -1.3 -1.1 -0.8 -0.4 114.0 1.0
ar[45] -0.7 0.1 0.4 -1.5 -1.0 -0.7 -0.4 0.1 34.0 1.0
ar[46] -1.0 0.0 0.4 -1.8 -1.3 -1.0 -0.8 -0.2 70.0 1.0
ar[47] -0.7 0.0 0.4 -1.5 -1.0 -0.7 -0.5 0.0 128.0 1.0
ar[48] -1.3 0.1 0.4 -2.1 -1.6 -1.3 -1.0 -0.5 59.0 1.0
ar[49] -1.2 0.1 0.4 -2.0 -1.5 -1.2 -0.9 -0.4 22.0 1.1
ar[50] 0.0 0.1 0.4 -0.9 -0.3 -0.0 0.3 0.9 22.0 1.0
ar[51] 0.1 0.1 0.4 -0.6 -0.1 0.1 0.4 0.9 49.0 1.0
ar[52] 0.0 0.0 0.4 -0.7 -0.2 -0.0 0.2 0.8 108.0 1.0
ar[53] 0.1 0.0 0.4 -0.6 -0.2 0.1 0.3 0.8 71.0 1.0
ar[54] 0.4 0.1 0.4 -0.4 0.1 0.4 0.7 1.3 15.0 1.1
ar[55] -0.2 0.1 0.4 -1.0 -0.5 -0.3 0.0 0.6 34.0 1.0
ar[56] 0.3 0.1 0.4 -0.6 0.1 0.4 0.6 1.1 22.0 1.1
ar[57] 0.7 0.0 0.4 -0.1 0.4 0.7 1.0 1.5 95.0 1.1
ar[58] 1.1 0.0 0.4 0.3 0.8 1.1 1.3 1.9 82.0 1.1
ar[59] 0.9 0.0 0.4 0.1 0.6 0.9 1.2 1.7 68.0 1.0
ar[60] 0.2 0.0 0.4 -0.6 -0.1 0.2 0.4 0.9 77.0 1.0
ar[61] -0.9 0.1 0.5 -1.9 -1.3 -0.9 -0.6 -0.0 14.0 1.0
ar[62] -0.5 0.0 0.4 -1.2 -0.8 -0.5 -0.3 0.3 135.0 1.0
ar[63] -0.2 0.0 0.4 -1.0 -0.4 -0.2 0.1 0.6 95.0 1.0
ar[64] 0.4 0.0 0.4 -0.4 0.1 0.4 0.6 1.1 117.0 1.0
ar[65] 0.9 0.0 0.4 0.1 0.7 1.0 1.2 1.7 73.0 1.0
ar[66] 1.5 0.1 0.4 0.5 1.2 1.5 1.8 2.2 15.0 1.1
ar[67] 0.9 0.1 0.4 0.0 0.6 0.9 1.2 1.6 59.0 1.1
ar[68] 0.2 0.1 0.4 -0.5 -0.1 0.2 0.5 1.0 44.0 1.0
ar[69] -0.2 0.0 0.4 -1.0 -0.4 -0.2 0.1 0.7 95.0 1.0
ar[70] 0.1 0.0 0.4 -0.7 -0.1 0.1 0.4 0.9 117.0 1.0
ar[71] 0.7 0.0 0.4 0.0 0.5 0.7 1.0 1.5 144.0 1.0
ar[72] 1.1 0.0 0.4 0.4 0.9 1.1 1.4 1.9 82.0 1.0
ar[73] 1.4 0.1 0.4 0.4 1.1 1.4 1.6 2.2 15.0 1.1
ar[74] 0.4 0.1 0.4 -0.4 0.1 0.4 0.7 1.2 30.0 1.0
ar[75] -0.3 0.1 0.4 -1.0 -0.6 -0.3 0.0 0.5 41.0 1.0
ar[76] -0.2 0.1 0.4 -1.0 -0.5 -0.2 0.0 0.5 42.0 1.0
ar[77] 0.6 0.2 0.5 -0.3 0.3 0.7 1.0 1.5 8.0 1.3
ar[78] 0.1 0.1 0.4 -0.8 -0.2 0.1 0.4 1.0 18.0 1.0
ar[79] 0.3 0.1 0.4 -0.5 0.0 0.3 0.5 1.1 34.0 1.1
ar[80] 0.4 0.1 0.4 -0.4 0.1 0.4 0.7 1.1 55.0 1.0
ar[81] 0.7 0.1 0.4 -0.1 0.5 0.7 1.0 1.5 44.0 1.1
ar[82] 0.7 0.1 0.4 -0.1 0.5 0.7 1.0 1.6 41.0 1.0
ar[83] 1.1 0.0 0.4 0.2 0.8 1.1 1.4 1.8 80.0 1.1
ar[84] 0.3 0.1 0.4 -0.4 0.0 0.3 0.6 1.2 53.0 1.0
ar[85] -0.5 0.1 0.5 -1.4 -0.8 -0.6 -0.2 0.4 14.0 1.0
ar[86] -0.2 0.1 0.4 -0.9 -0.4 -0.2 0.1 0.6 41.0 1.1
ar[87] -0.3 0.1 0.4 -1.1 -0.6 -0.3 -0.0 0.4 44.0 1.0
ar[88] 0.3 0.1 0.4 -0.5 -0.0 0.2 0.5 1.1 51.0 1.0
ar[89] 0.5 0.2 0.5 -0.4 0.2 0.5 0.8 1.3 9.0 1.3
ar[90] -0.7 0.1 0.4 -1.5 -1.0 -0.7 -0.5 0.1 58.0 1.0
ar[91] -1.4 0.1 0.5 -2.3 -1.7 -1.4 -1.1 -0.5 16.0 1.0
ar[92] -0.6 0.0 0.4 -1.4 -0.9 -0.6 -0.4 0.1 73.0 1.0
ar[93] -0.0 0.0 0.4 -0.8 -0.3 -0.0 0.2 0.6 157.0 1.0
ar[94] 0.2 0.0 0.4 -0.5 -0.0 0.2 0.5 0.9 109.0 1.0
ar[95] -0.2 0.0 0.4 -1.0 -0.5 -0.2 0.0 0.5 83.0 1.0
ar[96] -0.6 0.1 0.4 -1.4 -0.8 -0.6 -0.3 0.3 20.0 1.0
ar[97] -0.2 0.0 0.4 -0.9 -0.5 -0.2 -0.0 0.5 109.0 1.0
ar[98] 0.0 0.0 0.3 -0.6 -0.2 0.0 0.3 0.7 161.0 1.0
ar[99] -0.1 0.0 0.4 -0.8 -0.4 -0.1 0.2 0.7 131.0 1.0
ar[100] -0.5 0.1 0.4 -1.3 -0.8 -0.5 -0.2 0.3 21.0 1.0
ar[101] -0.4 0.1 0.4 -1.2 -0.6 -0.4 -0.1 0.6 19.0 1.0
ar[102] 0.3 0.1 0.4 -0.5 0.0 0.3 0.5 1.0 31.0 1.1
ar[103] -0.3 0.0 0.4 -1.0 -0.5 -0.3 -0.0 0.5 99.0 1.0
ar[104] -0.7 0.0 0.4 -1.5 -1.0 -0.7 -0.4 0.0 64.0 1.0
ar[105] -0.6 0.0 0.4 -1.4 -0.9 -0.6 -0.3 0.1 74.0 1.0
ar[106] -0.9 0.1 0.4 -1.8 -1.2 -0.9 -0.6 -0.0 16.0 1.0
ar[107] -0.2 0.0 0.4 -0.9 -0.4 -0.2 0.1 0.6 105.0 1.0
ar[108] 0.1 0.0 0.4 -0.6 -0.2 0.1 0.4 0.8 95.0 1.0
ar[109] 0.0 0.1 0.4 -0.7 -0.2 0.0 0.3 0.9 36.0 1.0
ar[110] 0.5 0.0 0.4 -0.2 0.3 0.5 0.8 1.3 126.0 1.0
ar[111] 0.2 0.1 0.4 -0.7 -0.1 0.2 0.4 0.9 25.0 1.1
ar[112] 0.6 0.1 0.4 -0.2 0.4 0.6 0.9 1.4 44.0 1.0
ar[113] -0.1 0.1 0.4 -1.0 -0.4 -0.1 0.2 0.7 20.0 1.0
ar[114] -0.5 0.1 0.4 -1.3 -0.9 -0.6 -0.2 0.3 15.0 1.0
ar[115] -0.3 0.0 0.4 -1.0 -0.5 -0.3 -0.0 0.4 127.0 1.0
ar[116] -0.3 0.0 0.4 -1.0 -0.6 -0.3 -0.0 0.6 72.0 1.0
ar[117] 0.3 0.0 0.4 -0.4 0.1 0.3 0.6 1.1 103.0 1.0
ar[118] 1.0 0.0 0.4 0.3 0.7 1.0 1.2 1.7 130.0 1.0
ar[119] 0.9 0.0 0.4 0.1 0.6 0.9 1.1 1.6 153.0 1.0
ar[120] 0.6 0.0 0.4 -0.1 0.4 0.6 0.9 1.4 90.0 1.0
ar[121] -0.1 0.1 0.4 -0.9 -0.3 -0.1 0.2 0.8 18.0 1.0
ar[122] 0.3 0.0 0.4 -0.4 0.0 0.3 0.5 1.0 89.0 1.0
ar[123] 1.3 0.1 0.5 0.3 1.0 1.3 1.6 2.1 15.0 1.1
ar[124] 0.6 0.0 0.4 -0.2 0.3 0.6 0.8 1.4 117.0 1.0
ar[125] -0.5 0.1 0.5 -1.5 -0.9 -0.6 -0.2 0.3 12.0 1.1
ar[126] -0.6 0.1 0.4 -1.4 -0.9 -0.6 -0.3 0.2 26.0 1.0
ar[127] 0.1 0.1 0.4 -0.7 -0.1 0.2 0.4 0.9 38.0 1.1
ar[128] 0.3 0.1 0.4 -0.4 0.0 0.2 0.5 1.0 28.0 1.1
ar[129] -0.1 0.0 0.4 -0.8 -0.3 -0.1 0.2 0.6 143.0 1.0
ar[130] -0.4 0.0 0.4 -1.2 -0.6 -0.4 -0.1 0.4 83.0 1.0
ar[131] -0.6 0.1 0.4 -1.4 -0.9 -0.6 -0.3 0.2 37.0 1.0
ar[132] -1.0 0.0 0.4 -1.7 -1.2 -1.0 -0.7 -0.2 105.0 1.0
ar[133] -1.7 0.1 0.4 -2.5 -2.0 -1.7 -1.4 -0.8 16.0 1.1
ar[134] -1.7 0.1 0.4 -2.5 -2.0 -1.7 -1.4 -0.9 26.0 1.1
ar[135] -1.2 0.1 0.4 -1.9 -1.4 -1.2 -0.9 -0.4 28.0 1.0
ar[136] -0.5 0.1 0.4 -1.2 -0.7 -0.5 -0.2 0.3 24.0 1.0
ar[137] 0.6 0.1 0.4 -0.2 0.4 0.6 0.9 1.4 16.0 1.1
ar[138] 0.9 0.1 0.4 0.2 0.6 0.9 1.1 1.6 52.0 1.1
ar[139] 0.7 0.1 0.4 -0.0 0.4 0.7 0.9 1.4 19.0 1.1
ar[140] 0.0 0.0 0.4 -0.7 -0.2 0.0 0.3 0.8 75.0 1.0
ar[141] -0.3 0.1 0.4 -1.2 -0.6 -0.3 -0.0 0.5 21.0 1.0
ar[142] -0.1 0.1 0.4 -0.8 -0.4 -0.1 0.2 0.8 22.0 1.1
ar[143] -0.3 0.1 0.4 -1.1 -0.6 -0.3 -0.0 0.5 29.0 1.0
ar[144] -0.6 0.1 0.5 -1.5 -1.0 -0.7 -0.3 0.3 13.0 1.0
ar[145] 0.3 0.0 0.4 -0.5 -0.0 0.3 0.5 1.0 109.0 1.0
ar[146] 0.3 0.0 0.4 -0.4 0.1 0.3 0.6 1.1 101.0 1.0
ar[147] 0.3 0.0 0.4 -0.4 0.1 0.3 0.6 1.1 89.0 1.0
ar[148] 0.4 0.0 0.4 -0.4 0.1 0.4 0.6 1.1 72.0 1.0
ar[149] -0.1 0.1 0.5 -1.0 -0.4 -0.1 0.2 0.8 18.0 1.0
ar[150] 0.3 0.0 0.4 -0.4 0.1 0.3 0.6 1.1 100.0 1.0
ar[151] 0.8 0.1 0.4 0.0 0.6 0.8 1.1 1.5 25.0 1.1
ar[152] 0.4 0.1 0.4 -0.4 0.2 0.4 0.7 1.3 48.0 1.0
ar[153] 0.2 0.1 0.4 -0.5 -0.0 0.2 0.5 1.1 26.0 1.1
ar[154] -0.2 0.0 0.4 -0.9 -0.4 -0.2 0.1 0.6 65.0 1.0
ar[155] -0.8 0.1 0.4 -1.5 -1.1 -0.8 -0.5 0.1 28.0 1.0
ar[156] -1.0 0.1 0.4 -1.8 -1.3 -1.1 -0.8 -0.2 55.0 1.0
ar[157] -1.3 0.1 0.5 -2.2 -1.6 -1.3 -1.0 -0.4 19.0 1.0
ar[158] -0.7 0.0 0.4 -1.3 -0.9 -0.7 -0.4 0.1 90.0 1.0
ar[159] -0.1 0.0 0.4 -0.9 -0.4 -0.1 0.1 0.6 83.0 1.0
ar[160] -0.2 0.0 0.4 -1.0 -0.4 -0.2 0.0 0.6 110.0 1.0
ar[161] -0.4 0.1 0.4 -1.2 -0.7 -0.4 -0.2 0.3 27.0 1.1
ar[162] -0.7 0.1 0.4 -1.5 -1.0 -0.7 -0.4 0.1 20.0 1.0
ar[163] -0.1 0.1 0.4 -0.8 -0.4 -0.1 0.2 0.7 19.0 1.1
ar[164] -0.1 0.1 0.4 -0.8 -0.4 -0.1 0.2 0.6 20.0 1.2
ar[165] -0.8 0.1 0.4 -1.7 -1.1 -0.8 -0.5 -0.0 19.0 1.0
ar[166] -0.4 0.1 0.4 -1.2 -0.7 -0.4 -0.1 0.3 28.0 1.0
ar[167] 0.4 0.0 0.4 -0.2 0.2 0.5 0.7 1.2 105.0 1.0
ar[168] 0.4 0.1 0.4 -0.4 0.1 0.4 0.6 1.2 58.0 1.0
ar[169] 0.4 0.1 0.4 -0.4 0.1 0.4 0.6 1.1 48.0 1.0
ar[170] 0.3 0.0 0.4 -0.5 0.0 0.3 0.5 1.1 133.0 1.0
ar[171] 0.1 0.1 0.4 -0.7 -0.2 0.1 0.3 0.8 40.0 1.0
ar[172] 0.1 0.0 0.4 -0.6 -0.1 0.1 0.4 0.9 160.0 1.0
ar[173] 0.2 0.1 0.4 -0.6 -0.1 0.2 0.4 0.9 28.0 1.1
ar[174] 0.2 0.1 0.4 -0.6 -0.1 0.2 0.4 1.0 15.0 1.1
ar[175] -0.2 0.1 0.4 -1.1 -0.5 -0.2 0.1 0.6 22.0 1.1
ar[176] -0.2 0.1 0.4 -0.9 -0.4 -0.2 0.1 0.5 29.0 1.0
ar[177] 0.4 0.1 0.4 -0.4 0.1 0.4 0.7 1.3 10.0 1.3
ar[178] 0.3 0.1 0.4 -0.4 0.1 0.3 0.6 1.1 39.0 1.0
ar[179] 0.4 0.1 0.4 -0.3 0.2 0.4 0.7 1.2 56.0 1.0
ar[180] 0.6 0.1 0.4 -0.2 0.3 0.6 0.9 1.4 20.0 1.1
ar[181] -0.4 0.1 0.4 -1.2 -0.7 -0.4 -0.1 0.6 14.0 1.0
ar[182] -0.3 0.1 0.4 -1.1 -0.6 -0.3 -0.1 0.4 40.0 1.0
ar[183] -0.3 0.0 0.4 -1.1 -0.5 -0.3 -0.0 0.5 144.0 1.0
ar[184] -0.3 0.0 0.4 -0.9 -0.5 -0.3 -0.0 0.5 140.0 1.0
ar[185] -0.2 0.1 0.4 -1.0 -0.5 -0.2 0.1 0.6 9.0 1.2
ar[186] -0.8 0.1 0.5 -1.7 -1.1 -0.8 -0.4 0.2 12.0 1.0
ar[187] -0.3 0.1 0.4 -1.1 -0.6 -0.3 -0.0 0.4 29.0 1.1
ar[188] -0.2 0.1 0.4 -1.0 -0.5 -0.2 0.0 0.5 9.0 1.2
ar[189] -0.6 0.1 0.4 -1.4 -0.9 -0.6 -0.3 0.3 10.0 1.2
ar[190] -1.0 0.1 0.5 -2.0 -1.3 -1.0 -0.6 -0.0 13.0 1.0
ar[191] 0.0 0.1 0.4 -0.8 -0.2 0.0 0.3 0.8 24.0 1.0
ar[192] 1.4 0.1 0.5 0.4 1.1 1.4 1.7 2.3 13.0 1.2
ar[193] 1.3 0.1 0.4 0.5 1.0 1.3 1.6 2.1 12.0 1.2
ar[194] 0.8 0.1 0.4 -0.1 0.5 0.8 1.0 1.6 26.0 1.0
ar[195] 0.2 0.1 0.4 -0.5 -0.0 0.2 0.5 1.0 37.0 1.0
ar[196] -0.3 0.1 0.4 -1.0 -0.6 -0.3 -0.0 0.5 28.0 1.0
ar[197] -0.7 0.1 0.4 -1.5 -1.0 -0.7 -0.4 0.2 18.0 1.0
ar[198] -0.4 0.0 0.4 -1.2 -0.7 -0.4 -0.2 0.3 147.0 1.0
ar[199] -0.2 0.1 0.4 -1.0 -0.5 -0.2 0.1 0.7 13.0 1.2
ar[200] -0.0 0.1 0.4 -0.9 -0.3 -0.0 0.3 0.8 12.0 1.2
ar[201] -0.2 0.1 0.4 -0.9 -0.5 -0.2 0.1 0.6 16.0 1.1
ar[202] 0.3 0.1 0.4 -0.5 0.1 0.4 0.6 1.1 27.0 1.1
ar[203] 0.3 0.1 0.4 -0.5 0.0 0.3 0.6 1.1 26.0 1.0
ar[204] 0.3 0.1 0.5 -0.6 -0.1 0.2 0.6 1.2 13.0 1.0
ar[205] 1.5 0.2 0.5 0.5 1.1 1.5 1.8 2.3 8.0 1.3
ar[206] 1.0 0.0 0.4 0.2 0.8 1.1 1.3 1.8 64.0 1.0
ar[207] 0.4 0.1 0.4 -0.5 0.1 0.3 0.6 1.2 25.0 1.0
ar[208] 0.3 0.1 0.4 -0.5 0.0 0.3 0.6 1.1 16.0 1.1
ar[209] 0.6 0.2 0.5 -0.2 0.3 0.6 1.0 1.6 9.0 1.2
ar[210] 0.6 0.1 0.4 -0.3 0.3 0.6 0.8 1.4 14.0 1.1
ar[211] 0.5 0.1 0.4 -0.2 0.3 0.5 0.8 1.5 12.0 1.2
ar[212] 0.5 0.1 0.4 -0.2 0.3 0.5 0.8 1.4 31.0 1.1
ar[213] 0.6 0.1 0.4 -0.1 0.4 0.6 0.9 1.4 18.0 1.1
ar[214] 1.2 0.1 0.4 0.4 0.9 1.2 1.5 2.0 28.0 1.1
ar[215] 1.2 0.0 0.4 0.4 1.0 1.2 1.5 1.9 81.0 1.0
ar[216] 0.8 0.0 0.4 -0.0 0.5 0.8 1.0 1.5 135.0 1.0
ar[217] 0.2 0.1 0.4 -0.6 -0.1 0.2 0.4 1.0 27.0 1.0
ar[218] 0.5 0.0 0.4 -0.3 0.2 0.5 0.7 1.2 155.0 1.0
ar[219] 0.6 0.0 0.4 -0.2 0.3 0.6 0.8 1.3 148.0 1.0
ar[220] 0.5 0.1 0.4 -0.3 0.2 0.5 0.8 1.3 57.0 1.0
ar[221] 0.8 0.1 0.4 -0.0 0.5 0.8 1.1 1.6 11.0 1.2
ar[222] 0.1 0.1 0.4 -0.8 -0.2 0.1 0.3 0.8 64.0 1.0
ar[223] -0.5 0.1 0.5 -1.4 -0.8 -0.5 -0.2 0.4 20.0 1.0
ar[224] 0.0 0.0 0.4 -0.7 -0.2 0.0 0.2 0.7 55.0 1.1
ar[225] 0.0 0.1 0.4 -0.7 -0.2 0.0 0.3 0.9 19.0 1.1
ar[226] -0.0 0.1 0.4 -0.9 -0.3 -0.0 0.3 0.8 30.0 1.0
ar[227] 0.6 0.0 0.4 -0.1 0.4 0.6 0.9 1.4 132.0 1.0
ar[228] 0.9 0.0 0.4 0.1 0.6 0.9 1.1 1.7 129.0 1.0
ar[229] 0.5 0.0 0.4 -0.3 0.3 0.6 0.8 1.3 85.0 1.0
ar[230] 0.5 0.1 0.4 -0.3 0.3 0.5 0.8 1.4 53.0 1.0
ar[231] 0.0 0.0 0.4 -0.7 -0.2 0.0 0.3 0.8 87.0 1.0
ar[232] -0.6 0.1 0.4 -1.3 -0.9 -0.6 -0.4 0.1 37.0 1.0
ar[233] -0.8 0.1 0.4 -1.5 -1.1 -0.8 -0.5 0.0 21.0 1.0
ar[234] -0.5 0.0 0.4 -1.2 -0.7 -0.5 -0.2 0.3 69.0 1.0
ar[235] -0.5 0.1 0.4 -1.2 -0.8 -0.5 -0.2 0.3 50.0 1.0
ar[236] -0.6 0.1 0.4 -1.3 -0.8 -0.6 -0.3 0.2 39.0 1.0
ar[237] -0.3 0.1 0.4 -1.1 -0.6 -0.3 -0.1 0.4 36.0 1.0
ar[238] 0.1 0.1 0.4 -0.7 -0.2 0.0 0.3 0.9 23.0 1.0
ar[239] 0.7 0.1 0.4 -0.1 0.4 0.7 1.0 1.5 41.0 1.0
ar[240] 1.0 0.1 0.4 0.2 0.8 1.0 1.3 1.8 38.0 1.0
ar[241] 0.8 0.0 0.4 0.0 0.5 0.8 1.0 1.6 101.0 1.0
ar[242] -0.2 0.0 0.4 -1.0 -0.4 -0.2 0.1 0.6 76.0 1.1
ar[243] -0.7 0.1 0.4 -1.5 -1.0 -0.7 -0.4 0.2 41.0 1.0
ar[244] -0.7 0.0 0.4 -1.5 -1.0 -0.7 -0.5 -0.0 147.0 1.0
ar[245] -0.9 0.0 0.4 -1.7 -1.2 -0.9 -0.6 -0.1 88.0 1.0
ar[246] -1.5 0.1 0.4 -2.2 -1.7 -1.4 -1.2 -0.7 43.0 1.0
ar[247] -1.7 0.1 0.4 -2.4 -1.9 -1.6 -1.4 -0.9 36.0 1.0
ar[248] -1.1 0.0 0.4 -1.9 -1.4 -1.1 -0.9 -0.4 109.0 1.0
ar[249] -0.6 0.0 0.4 -1.4 -0.9 -0.6 -0.4 0.1 94.0 1.0
ar[250] 0.3 0.1 0.4 -0.4 0.1 0.3 0.6 1.2 59.0 1.1
ar[251] 0.3 0.0 0.4 -0.4 0.1 0.3 0.5 1.0 76.0 1.0
ar[252] 0.2 0.0 0.4 -0.6 -0.0 0.2 0.5 0.9 97.0 1.0
ar[253] 0.1 0.0 0.4 -0.6 -0.2 0.1 0.4 0.9 125.0 1.0
ar[254] -0.3 0.1 0.4 -1.3 -0.6 -0.3 -0.0 0.5 13.0 1.1
ar[255] 0.4 0.0 0.4 -0.3 0.1 0.4 0.7 1.1 96.0 1.0
ar[256] 0.6 0.0 0.4 -0.1 0.4 0.6 0.9 1.4 78.0 1.0
ar[257] 0.4 0.1 0.4 -0.4 0.1 0.4 0.7 1.2 31.0 1.0
ar[258] 1.1 0.1 0.4 0.3 0.8 1.1 1.4 1.9 24.0 1.1
ar[259] 1.1 0.1 0.4 0.4 0.9 1.1 1.4 1.9 34.0 1.1
ar[260] 0.8 0.0 0.4 -0.0 0.6 0.8 1.0 1.5 108.0 1.0
ar[261] 0.8 0.0 0.4 0.0 0.5 0.8 1.0 1.4 72.0 1.0
ar[262] 0.6 0.0 0.4 -0.2 0.4 0.6 0.9 1.4 125.0 1.0
ar[263] 0.5 0.0 0.4 -0.3 0.2 0.5 0.7 1.2 113.0 1.0
ar[264] 0.1 0.0 0.4 -0.6 -0.1 0.2 0.4 0.9 98.0 1.0
ar[265] -0.0 0.0 0.4 -0.8 -0.3 -0.0 0.3 0.7 62.0 1.0
ar[266] 0.0 0.0 0.4 -0.7 -0.2 0.0 0.3 0.8 149.0 1.0
ar[267] -0.1 0.0 0.4 -0.8 -0.3 -0.1 0.2 0.7 80.0 1.0
ar[268] -0.2 0.0 0.4 -0.9 -0.5 -0.2 0.0 0.5 73.0 1.0
ar[269] -0.7 0.1 0.4 -1.4 -0.9 -0.6 -0.4 0.2 23.0 1.0
ar[270] -0.0 0.0 0.4 -0.8 -0.3 -0.0 0.3 0.7 103.0 1.0
ar[271] 0.2 0.1 0.4 -0.6 -0.1 0.2 0.5 1.0 51.0 1.0
ar[272] -0.2 0.1 0.4 -1.0 -0.5 -0.2 0.0 0.5 60.0 1.0
ar[273] 0.1 0.1 0.4 -0.8 -0.2 0.1 0.4 0.9 15.0 1.1
ar[274] -0.5 0.0 0.4 -1.4 -0.8 -0.6 -0.3 0.3 62.0 1.0
ar[275] -0.6 0.1 0.4 -1.4 -0.8 -0.6 -0.3 0.2 37.0 1.1
ar[276] -0.2 0.0 0.4 -1.0 -0.5 -0.2 0.1 0.6 83.0 1.0
ar[277] -0.6 0.0 0.4 -1.3 -0.9 -0.6 -0.4 0.1 78.0 1.0
ar[278] -0.7 0.1 0.4 -1.4 -0.9 -0.6 -0.4 0.1 59.0 1.0
ar[279] -1.4 0.1 0.5 -2.3 -1.7 -1.3 -1.0 -0.5 18.0 1.1
ar[280] -0.9 0.0 0.4 -1.6 -1.1 -0.9 -0.7 -0.2 107.0 1.0
ar[281] -0.3 0.1 0.4 -1.2 -0.6 -0.3 -0.1 0.4 24.0 1.1
ar[282] -0.3 0.1 0.4 -1.2 -0.6 -0.3 -0.0 0.5 29.0 1.1
ar[283] -0.7 0.0 0.4 -1.5 -1.0 -0.7 -0.4 0.1 124.0 1.0
ar[284] -0.7 0.0 0.4 -1.5 -1.0 -0.7 -0.5 0.0 117.0 1.0
ar[285] -0.4 0.0 0.4 -1.1 -0.7 -0.4 -0.2 0.4 84.0 1.1
ar[286] -0.1 0.0 0.4 -0.8 -0.4 -0.1 0.1 0.5 102.0 1.0
ar[287] 0.0 0.0 0.4 -0.7 -0.3 0.0 0.3 0.7 124.0 1.0
ar[288] 0.1 0.0 0.4 -0.6 -0.1 0.1 0.4 0.9 128.0 1.0
ar[289] 0.2 0.0 0.4 -0.6 -0.1 0.2 0.4 0.9 82.0 1.0
ar[290] 0.4 0.1 0.4 -0.5 0.1 0.3 0.6 1.1 46.0 1.0
ar[291] 0.1 0.0 0.4 -0.7 -0.1 0.1 0.3 0.9 135.0 1.0
ar[292] -0.1 0.0 0.4 -0.7 -0.3 -0.1 0.2 0.7 112.0 1.0
ar[293] -0.3 0.0 0.3 -0.9 -0.5 -0.3 -0.1 0.4 86.0 1.0
ar[294] -0.3 0.1 0.4 -0.9 -0.6 -0.3 -0.0 0.5 48.0 1.1
ar[295] -0.7 0.1 0.4 -1.5 -1.0 -0.7 -0.4 0.1 37.0 1.0
ar[296] -0.8 0.1 0.4 -1.6 -1.1 -0.8 -0.5 -0.0 46.0 1.0
ar[297] -0.5 0.0 0.4 -1.2 -0.8 -0.5 -0.3 0.3 86.0 1.0
ar[298] 0.4 0.1 0.4 -0.4 0.2 0.4 0.7 1.3 27.0 1.1
ar[299] 0.5 0.0 0.4 -0.3 0.2 0.5 0.7 1.2 107.0 1.0
ar[300] 0.1 0.0 0.4 -0.7 -0.1 0.1 0.4 0.9 115.0 1.0
ar[301] 0.5 0.1 0.4 -0.4 0.2 0.5 0.8 1.4 11.0 1.2
ar[302] 0.8 0.1 0.4 -0.1 0.5 0.8 1.1 1.5 21.0 1.1
ar[303] 1.3 0.1 0.5 0.4 0.9 1.3 1.6 2.2 11.0 1.2
ar[304] 0.9 0.1 0.5 0.0 0.6 0.9 1.3 1.8 11.0 1.2
ar[305] -0.1 0.1 0.4 -0.9 -0.4 -0.2 0.1 0.7 26.0 1.0
ar[306] -0.2 0.1 0.4 -1.0 -0.5 -0.2 0.0 0.6 49.0 1.1
ar[307] -0.1 0.1 0.4 -0.9 -0.3 -0.1 0.2 0.8 27.0 1.1
ar[308] 0.5 0.1 0.4 -0.3 0.2 0.5 0.8 1.3 12.0 1.2
ar[309] 0.9 0.2 0.5 -0.0 0.5 0.9 1.2 1.8 7.0 1.4
ar[310] 0.3 0.1 0.4 -0.5 -0.0 0.3 0.5 1.1 26.0 1.0
ar[311] 0.4 0.1 0.4 -0.3 0.1 0.4 0.7 1.2 49.0 1.1
ar[312] 0.3 0.1 0.4 -0.5 0.0 0.3 0.6 1.0 49.0 1.1
ar[313] -0.1 0.1 0.4 -0.9 -0.3 -0.1 0.2 0.7 38.0 1.0
ar[314] 0.2 0.1 0.4 -0.5 -0.0 0.2 0.4 1.0 17.0 1.1
ar[315] -0.1 0.0 0.4 -0.8 -0.4 -0.1 0.2 0.7 117.0 1.0
ar[316] 0.0 0.1 0.4 -0.8 -0.2 0.0 0.3 0.8 20.0 1.1
ar[317] 0.1 0.1 0.4 -0.8 -0.2 0.0 0.3 0.9 10.0 1.2
ar[318] -0.1 0.1 0.4 -0.9 -0.4 -0.1 0.1 0.7 39.0 1.1
ar[319] 0.4 0.1 0.4 -0.4 0.1 0.4 0.7 1.4 11.0 1.2
ar[320] 0.9 0.2 0.5 -0.1 0.5 0.9 1.2 1.8 8.0 1.3
ar[321] 0.5 0.1 0.4 -0.3 0.2 0.5 0.8 1.4 11.0 1.2
ar[322] 0.2 0.1 0.4 -0.6 -0.1 0.2 0.5 1.0 16.0 1.1
ar[323] -0.0 0.1 0.4 -0.8 -0.3 -0.0 0.2 0.7 27.0 1.0
ar[324] 0.3 0.1 0.4 -0.5 0.0 0.3 0.7 1.2 10.0 1.2
ar[325] -0.7 0.1 0.4 -1.6 -1.0 -0.7 -0.4 0.1 23.0 1.0
ar[326] -0.7 0.1 0.4 -1.5 -1.0 -0.7 -0.4 0.1 58.0 1.0
ar[327] -0.6 0.1 0.4 -1.4 -0.8 -0.6 -0.3 0.2 57.0 1.0
ar[328] -0.0 0.1 0.4 -0.9 -0.3 -0.0 0.2 0.7 11.0 1.2
ar[329] 0.0 0.1 0.4 -0.8 -0.2 0.0 0.3 0.8 20.0 1.1
ar[330] 0.5 0.1 0.5 -0.5 0.2 0.5 0.8 1.3 10.0 1.2
ar[331] 0.3 0.1 0.4 -0.5 -0.0 0.3 0.6 1.1 10.0 1.2
ar[332] 0.2 0.1 0.4 -0.7 -0.1 0.2 0.4 1.0 12.0 1.1
ar[333] 0.2 0.1 0.4 -0.6 -0.1 0.2 0.4 1.0 11.0 1.2
ar[334] -0.0 0.1 0.4 -0.8 -0.3 -0.0 0.2 0.8 24.0 1.1
ar[335] -0.4 0.1 0.4 -1.1 -0.6 -0.3 -0.1 0.4 52.0 1.1
ar[336] -0.7 0.1 0.4 -1.5 -1.0 -0.7 -0.5 0.0 18.0 1.1
ar[337] -0.7 0.1 0.4 -1.5 -0.9 -0.6 -0.4 0.0 19.0 1.1
ar[338] -0.3 0.0 0.4 -1.1 -0.6 -0.4 -0.1 0.4 107.0 1.0
ar[339] 0.1 0.1 0.4 -0.6 -0.2 0.1 0.4 1.0 33.0 1.1
ar[340] 0.3 0.1 0.4 -0.5 0.0 0.3 0.5 1.0 37.0 1.1
ar[341] 0.3 0.1 0.4 -0.5 0.0 0.3 0.5 1.1 32.0 1.1
ar[342] 0.3 0.1 0.4 -0.6 0.0 0.3 0.6 1.0 12.0 1.2
ar[343] -0.5 0.0 0.4 -1.2 -0.8 -0.5 -0.2 0.3 73.0 1.0
ar[344] -0.6 0.0 0.4 -1.4 -0.9 -0.6 -0.4 0.1 59.0 1.1
ar[345] -0.3 0.1 0.4 -1.2 -0.6 -0.3 -0.0 0.5 12.0 1.2
ar[346] -0.6 0.0 0.4 -1.4 -0.8 -0.6 -0.3 0.2 97.0 1.0
ar[347] -0.6 0.1 0.4 -1.4 -0.9 -0.6 -0.3 0.3 23.0 1.0
ar[348] 0.5 0.1 0.4 -0.4 0.2 0.5 0.8 1.3 13.0 1.2
ar[349] 0.9 0.1 0.4 0.2 0.6 0.9 1.2 1.7 14.0 1.2
ar[350] 1.3 0.1 0.4 0.5 1.0 1.3 1.5 2.0 55.0 1.1
ar[351] 1.0 0.0 0.4 0.2 0.7 1.0 1.3 1.8 71.0 1.0
ar[352] 0.2 0.0 0.4 -0.5 -0.1 0.2 0.5 1.0 78.0 1.0
ar[353] -0.2 0.1 0.4 -0.9 -0.4 -0.2 0.1 0.6 29.0 1.0
ar[354] -0.1 0.1 0.4 -0.8 -0.3 -0.0 0.2 0.7 17.0 1.1
ar[355] -0.5 0.1 0.4 -1.1 -0.7 -0.5 -0.2 0.3 39.0 1.0
ar[356] -0.5 0.0 0.4 -1.3 -0.7 -0.5 -0.2 0.3 95.0 1.0
ar[357] -0.6 0.0 0.4 -1.4 -0.9 -0.6 -0.4 0.1 71.0 1.1
ar[358] -1.5 0.1 0.4 -2.3 -1.8 -1.5 -1.2 -0.7 18.0 1.0
ar[359] -1.0 0.0 0.4 -1.7 -1.2 -1.0 -0.7 -0.2 114.0 1.0
ar[360] -0.6 0.0 0.4 -1.4 -0.9 -0.6 -0.3 0.2 114.0 1.0
ar[361] -0.3 0.1 0.4 -1.0 -0.5 -0.3 -0.0 0.6 24.0 1.1
ar[362] -0.4 0.0 0.4 -1.1 -0.7 -0.4 -0.2 0.2 53.0 1.0
ar[363] 0.0 0.0 0.4 -0.7 -0.2 0.0 0.3 0.8 151.0 1.0
ar[364] -0.0 0.0 0.4 -0.8 -0.3 -0.0 0.2 0.7 137.0 1.0
ar[365] -0.4 0.1 0.4 -1.2 -0.7 -0.4 -0.2 0.4 27.0 1.1
ar[366] -1.5 0.1 0.5 -2.4 -1.8 -1.5 -1.2 -0.7 16.0 1.1
ar[367] -1.1 0.0 0.4 -1.9 -1.4 -1.1 -0.9 -0.3 118.0 1.0
ar[368] -0.3 0.1 0.4 -1.2 -0.6 -0.3 -0.0 0.5 17.0 1.1
ar[369] -0.2 0.1 0.4 -1.0 -0.5 -0.2 0.0 0.5 47.0 1.0
ar[370] 0.7 0.1 0.4 -0.0 0.4 0.7 1.0 1.5 18.0 1.1
ar[371] 0.4 0.0 0.4 -0.3 0.2 0.4 0.7 1.1 150.0 1.0
ar[372] 0.3 0.0 0.4 -0.5 -0.0 0.2 0.5 1.1 70.0 1.0
ar[373] 0.6 0.1 0.4 -0.2 0.3 0.6 0.8 1.3 53.0 1.1
ar[374] 0.3 0.1 0.4 -0.5 -0.0 0.2 0.5 1.1 46.0 1.0
ar[375] 0.3 0.0 0.4 -0.4 0.1 0.3 0.6 1.0 128.0 1.0
ar[376] 0.6 0.0 0.4 -0.1 0.3 0.6 0.8 1.3 134.0 1.0
ar[377] 0.6 0.0 0.4 -0.2 0.3 0.6 0.8 1.2 136.0 1.0
ar[378] 0.6 0.0 0.4 -0.2 0.4 0.6 0.9 1.3 75.0 1.0
ar[379] -0.0 0.0 0.4 -0.8 -0.3 -0.0 0.3 0.7 63.0 1.0
ar[380] 0.1 0.0 0.4 -0.6 -0.1 0.1 0.4 0.9 86.0 1.1
ar[381] 0.1 0.0 0.4 -0.6 -0.1 0.1 0.4 0.9 97.0 1.0
ar[382] 0.9 0.1 0.4 -0.0 0.6 0.9 1.1 1.7 66.0 1.0
ar[383] 0.6 0.0 0.4 -0.1 0.4 0.6 0.9 1.4 125.0 1.0
ar[384] -0.0 0.0 0.4 -0.7 -0.3 -0.0 0.3 0.8 151.0 1.0
ar[385] -0.5 0.1 0.4 -1.3 -0.7 -0.5 -0.3 0.3 42.0 1.0
ar[386] -0.6 0.0 0.4 -1.4 -0.9 -0.6 -0.3 0.2 70.0 1.0
ar[387] -0.2 0.0 0.4 -1.0 -0.5 -0.2 0.0 0.5 127.0 1.0
ar[388] -0.5 0.1 0.4 -1.3 -0.8 -0.5 -0.2 0.3 19.0 1.1
ar[389] 0.2 0.1 0.4 -0.6 -0.1 0.2 0.4 0.9 23.0 1.1
ar[390] -0.2 0.0 0.4 -0.9 -0.5 -0.2 0.1 0.5 80.0 1.0
ar[391] 0.1 0.0 0.4 -0.6 -0.2 0.1 0.4 0.9 145.0 1.0
ar[392] 0.5 0.1 0.4 -0.3 0.2 0.5 0.8 1.3 33.0 1.0
ar[393] 0.5 0.1 0.4 -0.2 0.2 0.5 0.7 1.2 45.0 1.1
ar[394] -0.3 0.0 0.4 -1.1 -0.6 -0.3 -0.0 0.4 119.0 1.0
ar[395] -1.4 0.2 0.5 -2.3 -1.8 -1.4 -1.0 -0.3 8.0 1.2
ar[396] -0.6 0.0 0.4 -1.3 -0.8 -0.6 -0.3 0.2 75.0 1.0
ar[397] -0.1 0.0 0.4 -0.8 -0.3 -0.1 0.2 0.6 67.0 1.0
ar[398] -0.4 0.1 0.4 -1.1 -0.6 -0.4 -0.1 0.4 48.0 1.0
ar[399] -0.8 0.1 0.4 -1.6 -1.0 -0.8 -0.5 0.0 16.0 1.2
ar[400] -0.2 0.0 0.4 -0.9 -0.4 -0.2 0.0 0.5 125.0 1.0
ar[401] -0.3 0.0 0.4 -1.0 -0.5 -0.3 -0.0 0.5 166.0 1.0
ar[402] -0.3 0.1 0.4 -1.1 -0.6 -0.3 -0.1 0.4 33.0 1.0
ar[403] 0.2 0.1 0.4 -0.5 -0.0 0.2 0.5 1.0 32.0 1.0
ar[404] -0.1 0.0 0.4 -0.8 -0.3 -0.0 0.2 0.7 65.0 1.0
ar[405] 0.4 0.0 0.4 -0.4 0.1 0.4 0.6 1.0 171.0 1.0
ar[406] 0.5 0.0 0.4 -0.1 0.3 0.5 0.8 1.3 139.0 1.0
ar[407] 0.5 0.1 0.4 -0.2 0.2 0.5 0.8 1.5 26.0 1.1
ar[408] 1.0 0.0 0.4 0.2 0.7 0.9 1.2 1.8 110.0 1.0
ar[409] 1.1 0.1 0.4 0.2 0.8 1.1 1.4 1.9 27.0 1.0
ar[410] 0.3 0.1 0.4 -0.4 0.0 0.3 0.5 1.0 52.0 1.1
ar[411] -0.3 0.1 0.4 -1.1 -0.6 -0.3 -0.1 0.5 19.0 1.1
ar[412] -0.1 0.0 0.4 -0.9 -0.4 -0.1 0.1 0.6 130.0 1.0
ar[413] 0.0 0.0 0.4 -0.7 -0.2 0.0 0.3 0.7 100.0 1.0
ar[414] -0.6 0.1 0.5 -1.4 -0.9 -0.5 -0.2 0.3 11.0 1.1
ar[415] 0.3 0.0 0.4 -0.5 0.0 0.3 0.6 1.1 111.0 1.0
ar[416] 0.8 0.1 0.4 0.0 0.5 0.8 1.0 1.5 26.0 1.0
ar[417] 0.4 0.1 0.4 -0.3 0.2 0.4 0.7 1.1 39.0 1.0
ar[418] -0.1 0.1 0.4 -0.8 -0.4 -0.1 0.2 0.9 14.0 1.1
ar[419] 0.2 0.0 0.4 -0.6 -0.1 0.2 0.4 0.9 124.0 1.0
ar[420] -0.1 0.0 0.4 -0.8 -0.4 -0.2 0.1 0.6 125.0 1.0
ar[421] -0.6 0.1 0.5 -1.5 -0.9 -0.6 -0.3 0.3 11.0 1.2
ar[422] 0.2 0.1 0.4 -0.5 -0.1 0.2 0.5 0.9 38.0 1.0
ar[423] 0.0 0.0 0.4 -0.7 -0.2 0.0 0.3 0.8 75.0 1.1
ar[424] -0.3 0.0 0.4 -1.0 -0.5 -0.3 -0.0 0.5 94.0 1.1
ar[425] -0.4 0.1 0.4 -1.3 -0.7 -0.4 -0.1 0.4 17.0 1.1
ar[426] 0.2 0.0 0.4 -0.6 -0.1 0.2 0.4 1.0 73.0 1.0
ar[427] -0.2 0.1 0.4 -1.1 -0.5 -0.2 0.1 0.5 16.0 1.2
ar[428] 0.0 0.1 0.4 -0.8 -0.2 0.1 0.3 0.8 15.0 1.1
ar[429] 0.3 0.0 0.4 -0.4 0.1 0.3 0.6 1.0 69.0 1.0
ar[430] 0.1 0.1 0.4 -0.8 -0.2 0.1 0.3 0.9 19.0 1.1
ar[431] 0.4 0.0 0.4 -0.3 0.2 0.4 0.7 1.2 128.0 1.0
ar[432] 0.6 0.1 0.4 -0.2 0.4 0.6 0.9 1.4 59.0 1.0
ar[433] 1.0 0.1 0.4 0.1 0.7 1.0 1.2 1.8 56.0 1.0
ar[434] 0.5 0.1 0.4 -0.4 0.2 0.5 0.8 1.4 51.0 1.1
ar[435] 0.1 0.1 0.4 -0.8 -0.1 0.2 0.4 0.9 12.0 1.2
ar[436] 0.2 0.0 0.4 -0.6 -0.1 0.2 0.4 0.9 94.0 1.0
ar[437] -0.2 0.0 0.4 -1.0 -0.4 -0.2 0.1 0.6 136.0 1.0
ar[438] -0.6 0.1 0.4 -1.4 -0.9 -0.6 -0.4 0.1 58.0 1.1
ar[439] -0.8 0.1 0.4 -1.6 -1.1 -0.8 -0.6 -0.0 50.0 1.1
ar[440] -0.6 0.0 0.4 -1.3 -0.8 -0.6 -0.3 0.2 81.0 1.0
ar[441] -0.2 0.0 0.4 -0.9 -0.4 -0.2 0.1 0.6 118.0 1.0
ar[442] -0.0 0.1 0.4 -0.8 -0.3 -0.1 0.2 0.8 49.0 1.0
ar[443] -0.0 0.1 0.4 -0.8 -0.3 -0.0 0.2 0.8 19.0 1.1
ar[444] 0.3 0.0 0.4 -0.4 0.1 0.3 0.6 1.1 72.0 1.1
ar[445] 0.4 0.0 0.4 -0.4 0.2 0.4 0.7 1.2 79.0 1.0
ar[446] -0.1 0.1 0.4 -0.9 -0.4 -0.1 0.1 0.6 27.0 1.2
ar[447] -0.9 0.2 0.5 -1.9 -1.4 -0.9 -0.6 0.1 7.0 1.4
ar[448] -0.5 0.1 0.4 -1.3 -0.8 -0.5 -0.2 0.3 16.0 1.2
ar[449] 0.3 0.0 0.4 -0.4 0.1 0.3 0.6 1.1 132.0 1.0
ar[450] 0.7 0.1 0.4 -0.0 0.5 0.7 1.0 1.5 54.0 1.1
ar[451] 1.1 0.0 0.4 0.3 0.9 1.1 1.4 1.9 75.0 1.0
ar[452] 0.9 0.1 0.4 0.0 0.7 0.9 1.2 1.7 33.0 1.0
ar[453] 0.5 0.0 0.4 -0.3 0.2 0.5 0.8 1.2 60.0 1.0
ar[454] -0.0 0.1 0.4 -0.8 -0.3 -0.0 0.3 0.9 10.0 1.2
ar[455] 0.0 0.1 0.4 -0.8 -0.3 0.0 0.3 0.8 32.0 1.1
ar[456] -0.8 0.2 0.5 -1.8 -1.2 -0.8 -0.4 0.2 7.0 1.3
ar[457] -0.2 0.1 0.4 -1.0 -0.5 -0.2 0.1 0.6 38.0 1.0
ar[458] -1.0 0.2 0.5 -1.9 -1.3 -1.0 -0.6 -0.1 8.0 1.5
ar[459] -0.8 0.2 0.4 -1.7 -1.1 -0.8 -0.5 0.1 8.0 1.3
ar[460] -0.5 0.1 0.4 -1.2 -0.7 -0.5 -0.2 0.3 10.0 1.2
ar[461] 0.2 0.0 0.4 -0.6 -0.0 0.2 0.5 1.0 79.0 1.0
ar[462] 0.3 0.0 0.4 -0.4 0.1 0.3 0.6 1.1 69.0 1.1
ar[463] 0.2 0.1 0.4 -0.5 0.0 0.2 0.5 1.0 14.0 1.2
ar[464] 0.4 0.1 0.4 -0.4 0.1 0.4 0.6 1.1 44.0 1.0
ar[465] 0.3 0.0 0.4 -0.4 0.0 0.3 0.6 1.1 67.0 1.1
ar[466] 0.6 0.1 0.4 -0.2 0.2 0.6 0.9 1.4 49.0 1.0
ar[467] -0.5 0.2 0.5 -1.4 -0.8 -0.5 -0.1 0.4 9.0 1.2
ar[468] -0.7 0.1 0.4 -1.5 -1.0 -0.7 -0.4 0.1 11.0 1.2
ar[469] -1.0 0.2 0.5 -1.8 -1.3 -1.0 -0.6 0.1 9.0 1.3
ar[470] -0.5 0.2 0.5 -1.4 -0.8 -0.4 -0.1 0.4 9.0 1.3
ar[471] -0.3 0.1 0.4 -1.1 -0.5 -0.3 0.0 0.6 10.0 1.3
ar[472] -0.2 0.1 0.4 -1.1 -0.5 -0.2 0.0 0.5 11.0 1.2
ar[473] -0.3 0.1 0.4 -1.1 -0.6 -0.3 -0.1 0.5 11.0 1.2
ar[474] 0.1 0.0 0.4 -0.6 -0.2 0.1 0.4 0.9 65.0 1.1
ar[475] 0.6 0.0 0.4 -0.1 0.3 0.6 0.9 1.4 67.0 1.1
ar[476] 0.9 0.1 0.4 0.1 0.7 0.9 1.2 1.7 34.0 1.0
ar[477] 0.2 0.0 0.4 -0.5 -0.0 0.2 0.5 1.1 80.0 1.0
ar[478] -0.5 0.1 0.4 -1.4 -0.8 -0.5 -0.2 0.3 14.0 1.1
ar[479] -1.0 0.2 0.5 -1.9 -1.3 -1.0 -0.7 -0.2 8.0 1.3
ar[480] -0.8 0.1 0.4 -1.6 -1.1 -0.8 -0.5 0.1 12.0 1.2
ar[481] -0.3 0.1 0.4 -1.1 -0.6 -0.3 0.0 0.6 20.0 1.2
ar[482] 0.3 0.1 0.5 -0.5 -0.0 0.3 0.6 1.3 16.0 1.1
ar[483] -0.4 0.2 0.5 -1.3 -0.8 -0.4 -0.0 0.6 5.0 1.5
ar[484] -0.3 0.1 0.4 -1.1 -0.6 -0.3 0.0 0.6 13.0 1.2
ar[485] 0.3 0.0 0.4 -0.4 0.0 0.3 0.5 1.0 99.0 1.0
ar[486] 0.6 0.1 0.4 -0.1 0.4 0.6 0.9 1.4 40.0 1.0
ar[487] 0.6 0.1 0.4 -0.2 0.3 0.6 0.9 1.5 39.0 1.1
ar[488] 0.4 0.1 0.4 -0.5 0.1 0.4 0.7 1.3 10.0 1.2
ar[489] 0.6 0.1 0.4 -0.3 0.3 0.6 0.9 1.4 19.0 1.1
ar[490] -0.1 0.2 0.5 -1.0 -0.4 -0.1 0.3 0.9 8.0 1.3
ar[491] -0.2 0.2 0.5 -1.2 -0.6 -0.2 0.1 0.8 9.0 1.2
s_trend 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 4.0 1.6
s_ar 0.6 0.0 0.1 0.4 0.5 0.5 0.6 0.7 5.0 1.3
s_mm 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 10.0 1.1
s_tot 0.5 0.0 0.1 0.3 0.4 0.5 0.6 0.6 5.0 1.2
lp__ 5889.3 74.2196.35533.95720.75919.96042.46230.3 7.0 1.2
Samples were drawn using NUTS(diag_e) at Sun Mar 16 01:13:16 2014.
For each parameter, n_eff is a crude measure of effective sample size,
and Rhat is the potential scale reduction factor on split chains (at
convergence, Rhat=1).
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