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Aizu Online Judge
data {
int Q;
int N;
vector[Q] D;
int Solved[Q, N];
vector[N] D_max;
real D_range;
}
parameters {
vector[N] pf;
real mu_pf;
real<lower=0> s_pf;
vector[Q] d_true;
real<lower=0> sigma;
vector<lower=0, upper=1>[N] q_skip;
}
model {
pf ~ normal(mu_pf, s_pf);
mu_pf ~ normal(0.5, 0.5);
s_pf ~ normal(0, 1);
sigma ~ normal(0, 0.1);
D ~ normal(d_true, 0.1);
for (i in 1:Q) {
for (n in 1:N) {
if (Solved[i,n] == 1) {
target += log1m(q_skip[n]) + normal_lccdf(d_true[i] | pf[n], sigma);
} else {
if (D[i] < D_max[n] - D_range) {
target += log(q_skip[n]);
} else if (D[i] > D_max[n] + D_range) {
target += log1m(q_skip[n]) + normal_lcdf(d_true[i] | pf[n], sigma);
} else {
target += log_sum_exp(
log(q_skip[n]),
log1m(q_skip[n]) + normal_lcdf(d_true[i] | pf[n], sigma)
);
}
}
}
}
}
library(rstan)
library(dplyr)
library(tidyr)
rstan_options(auto_write=TRUE)
options(mc.cores=4)
d_ori <- read.csv('input/data.csv')
colnames(d_ori)[1] <- 'QID'
d <- d_ori %>%
gather(key=user, value=value, -QID, -difficulty)
max_difficulty <- d %>%
filter(value == 1) %>%
group_by(user) %>%
summarize(max=max(difficulty)) %>%
select(max) %>% unlist()
data <- list(Q=nrow(d_ori), N=1000, D=d_ori$difficulty/1000,
Solved=d_ori[,c(-1,-2)], D_max=max_difficulty/1000, D_range=0.2)
stanmodel <- stan_model('model/model.stan')
fit <- sampling(stanmodel, data=data, seed=123)
save.image('output/result.RData')
mean se_mean sd X2.5. X25. X50. X75. X97.5. n_eff Rhat
pf[1] 1.022 0 0.018 0.988 1.01 1.021 1.034 1.059 4000 1.001
pf[2] 1.095 0 0.023 1.05 1.08 1.095 1.11 1.142 4000 1.001
pf[3] 1.129 0 0.027 1.08 1.111 1.127 1.146 1.187 4000 1
pf[4] 1.161 0.001 0.032 1.106 1.139 1.157 1.18 1.231 4000 1.001
pf[5] 1.162 0.001 0.034 1.104 1.138 1.159 1.181 1.234 4000 1
pf[6] 1.028 0 0.023 0.986 1.013 1.028 1.043 1.075 4000 1
pf[7] 0.79 0 0.014 0.763 0.781 0.79 0.8 0.817 4000 1
pf[8] 1.01 0 0.022 0.968 0.994 1.009 1.024 1.055 4000 1.001
pf[9] 0.747 0 0.012 0.724 0.739 0.747 0.755 0.772 4000 1
pf[10] 1.055 0 0.028 1.003 1.036 1.054 1.073 1.115 4000 1.001
pf[11] 0.75 0 0.015 0.72 0.74 0.75 0.76 0.779 4000 1
pf[12] 1.006 0 0.024 0.961 0.99 1.005 1.021 1.055 4000 1.001
pf[13] 0.914 0 0.025 0.868 0.897 0.913 0.931 0.965 4000 1
pf[14] 0.927 0 0.025 0.88 0.91 0.927 0.943 0.975 4000 1.001
pf[15] 0.883 0 0.027 0.831 0.865 0.882 0.9 0.938 4000 0.999
pf[16] 0.89 0 0.029 0.833 0.87 0.889 0.908 0.948 4000 1.001
pf[17] 0.668 0 0.015 0.64 0.659 0.668 0.678 0.698 4000 1
pf[18] 0.975 0 0.026 0.927 0.958 0.974 0.992 1.028 4000 1.001
pf[19] 1.037 0 0.028 0.986 1.017 1.035 1.054 1.094 4000 1
pf[20] 0.732 0 0.013 0.706 0.723 0.731 0.741 0.759 4000 1
pf[21] 0.874 0 0.031 0.816 0.853 0.873 0.894 0.938 4000 1
pf[22] 0.905 0 0.027 0.853 0.886 0.904 0.923 0.962 4000 1
pf[23] 0.968 0 0.025 0.92 0.951 0.968 0.985 1.019 4000 1.001
pf[24] 0.96 0 0.03 0.903 0.94 0.959 0.979 1.021 4000 1
pf[25] 0.553 0 0.009 0.535 0.547 0.553 0.559 0.571 4000 1.001
pf[26] 0.725 0 0.019 0.686 0.712 0.725 0.738 0.764 4000 1
pf[27] 0.943 0 0.029 0.888 0.923 0.943 0.963 1.004 4000 1
pf[28] 1.016 0 0.031 0.96 0.994 1.014 1.035 1.081 4000 1.002
pf[29] 0.742 0 0.019 0.707 0.729 0.742 0.754 0.78 4000 1
pf[30] 0.725 0 0.021 0.684 0.71 0.724 0.739 0.767 4000 0.999
pf[31] 0.703 0 0.016 0.673 0.693 0.703 0.713 0.735 4000 1
pf[32] 0.841 0 0.018 0.808 0.829 0.841 0.853 0.879 4000 1
pf[33] 0.55 0 0.01 0.531 0.544 0.551 0.557 0.57 4000 1.002
pf[34] 0.747 0 0.019 0.712 0.734 0.747 0.76 0.785 4000 1.001
pf[35] 0.904 0 0.03 0.847 0.884 0.903 0.923 0.966 4000 1
pf[36] 0.542 0 0.01 0.523 0.535 0.542 0.549 0.562 4000 1.002
pf[37] 0.516 0 0.009 0.498 0.51 0.516 0.522 0.534 4000 1.003
pf[38] 0.69 0 0.023 0.645 0.674 0.69 0.706 0.735 4000 1
pf[39] 0.655 0 0.017 0.622 0.643 0.655 0.666 0.69 4000 0.999
pf[40] 0.492 0 0.009 0.475 0.486 0.492 0.498 0.51 4000 1.004
pf[41] 0.707 0 0.016 0.676 0.696 0.707 0.718 0.74 4000 1
pf[42] 1.047 0.001 0.033 0.989 1.025 1.045 1.068 1.116 4000 1
pf[43] 1.001 0 0.03 0.945 0.98 1 1.02 1.062 4000 1
pf[44] 0.72 0 0.016 0.689 0.709 0.72 0.731 0.753 4000 1
pf[45] 0.719 0 0.017 0.687 0.708 0.719 0.73 0.752 4000 1.001
pf[46] 0.803 0 0.018 0.768 0.791 0.803 0.816 0.839 4000 1
pf[47] 0.795 0 0.02 0.757 0.782 0.795 0.808 0.834 4000 1
pf[48] 0.862 0.001 0.035 0.799 0.838 0.86 0.885 0.932 4000 1
pf[49] 0.727 0 0.023 0.684 0.711 0.727 0.742 0.771 4000 1
pf[50] 0.82 0.001 0.042 0.741 0.792 0.819 0.849 0.904 4000 1
pf[51] 0.661 0 0.019 0.625 0.649 0.661 0.673 0.699 4000 1
pf[52] 0.749 0 0.019 0.712 0.736 0.749 0.761 0.786 4000 1
pf[53] 0.753 0 0.02 0.714 0.739 0.752 0.766 0.794 4000 1
pf[54] 1.062 0.001 0.033 1.005 1.04 1.06 1.082 1.131 4000 1.001
pf[55] 0.494 0 0.009 0.475 0.488 0.494 0.5 0.512 4000 1.003
pf[56] 0.644 0 0.018 0.609 0.631 0.643 0.656 0.681 4000 1
pf[57] 0.457 0 0.009 0.44 0.451 0.457 0.462 0.473 4000 1.003
pf[58] 0.637 0 0.022 0.595 0.622 0.637 0.651 0.68 4000 0.999
pf[59] 1.155 0.001 0.054 1.072 1.12 1.147 1.182 1.278 2633.396 1.001
pf[60] 0.675 0 0.017 0.643 0.663 0.675 0.686 0.71 4000 1
pf[61] 0.516 0 0.011 0.496 0.509 0.517 0.524 0.537 4000 1.001
pf[62] 0.91 0.001 0.038 0.84 0.883 0.91 0.935 0.985 4000 0.999
pf[63] 0.518 0 0.011 0.497 0.51 0.517 0.525 0.539 4000 1.001
pf[64] 0.501 0 0.011 0.481 0.494 0.501 0.509 0.523 4000 1.002
pf[65] 0.686 0 0.021 0.646 0.672 0.685 0.7 0.727 4000 1
pf[66] 0.629 0 0.021 0.588 0.614 0.628 0.643 0.671 4000 0.999
pf[67] 0.632 0 0.026 0.582 0.616 0.632 0.65 0.684 4000 1
pf[68] 1.062 0.001 0.042 0.989 1.034 1.058 1.085 1.157 4000 1
pf[69] 0.615 0 0.023 0.571 0.6 0.615 0.631 0.661 4000 1
pf[70] 0.681 0 0.019 0.644 0.668 0.68 0.693 0.719 4000 1
pf[71] 0.747 0 0.018 0.712 0.734 0.746 0.759 0.782 4000 0.999
pf[72] 1.058 0.001 0.044 0.986 1.028 1.054 1.082 1.152 4000 1
pf[73] 0.815 0 0.022 0.773 0.8 0.814 0.83 0.86 4000 1
pf[74] 0.792 0 0.023 0.749 0.776 0.792 0.807 0.839 4000 1
pf[75] 0.438 0 0.01 0.42 0.432 0.438 0.445 0.457 4000 1.004
pf[76] 1.04 0.001 0.035 0.981 1.016 1.038 1.061 1.119 4000 0.999
pf[77] 0.522 0 0.011 0.5 0.514 0.522 0.529 0.544 4000 1.001
pf[78] 1.102 0.002 0.063 1.015 1.062 1.091 1.128 1.258 1424.996 1.004
pf[79] 0.97 0.001 0.039 0.899 0.944 0.969 0.994 1.049 4000 0.999
pf[80] 1.123 0.002 0.077 1.02 1.071 1.107 1.156 1.32 2345.002 1
pf[81] 0.69 0 0.019 0.654 0.678 0.69 0.702 0.727 4000 1
pf[82] 1.121 0.002 0.076 1.022 1.069 1.103 1.152 1.321 1988.45 1
pf[83] 1.018 0.001 0.036 0.955 0.993 1.015 1.039 1.095 4000 1
pf[84] 0.471 0 0.01 0.452 0.465 0.471 0.478 0.49 4000 1.002
pf[85] 0.511 0 0.011 0.489 0.503 0.511 0.518 0.533 4000 1.001
pf[86] 0.458 0 0.012 0.434 0.45 0.458 0.466 0.48 4000 1.002
pf[87] 0.393 0 0.009 0.373 0.386 0.393 0.399 0.411 4000 1.006
pf[88] 0.442 0 0.01 0.423 0.435 0.442 0.448 0.461 4000 1.003
pf[89] 1.048 0.001 0.042 0.979 1.019 1.043 1.07 1.144 4000 1
pf[90] 0.641 0 0.024 0.595 0.624 0.64 0.658 0.688 4000 1
pf[91] 0.966 0.001 0.036 0.901 0.943 0.965 0.988 1.039 4000 1
pf[92] 0.46 0 0.012 0.436 0.452 0.46 0.469 0.484 4000 1.003
pf[93] 0.672 0 0.02 0.635 0.658 0.671 0.685 0.711 4000 1
pf[94] 0.664 0 0.023 0.621 0.648 0.663 0.678 0.709 4000 1
pf[95] 0.679 0 0.023 0.637 0.664 0.678 0.694 0.725 4000 1
pf[96] 0.76 0 0.024 0.716 0.744 0.76 0.776 0.807 4000 1
pf[97] 0.714 0 0.021 0.674 0.7 0.714 0.728 0.758 4000 1
pf[98] 0.911 0 0.027 0.862 0.892 0.909 0.927 0.97 4000 1
pf[99] 0.689 0 0.022 0.646 0.673 0.688 0.704 0.734 4000 1
pf[100] 0.421 0 0.01 0.401 0.414 0.421 0.428 0.442 4000 1.003
pf[101] 0.95 0.001 0.036 0.883 0.926 0.949 0.973 1.024 4000 1
pf[102] 0.755 0 0.026 0.705 0.737 0.755 0.772 0.806 4000 1
pf[103] 0.647 0 0.022 0.605 0.632 0.647 0.662 0.692 4000 1
pf[104] 0.878 0 0.026 0.833 0.86 0.876 0.894 0.933 4000 1
pf[105] 0.611 0 0.029 0.554 0.591 0.611 0.632 0.669 4000 1
pf[106] 0.963 0.001 0.036 0.898 0.938 0.961 0.986 1.038 4000 1.001
pf[107] 0.794 0 0.025 0.746 0.777 0.793 0.81 0.846 4000 1
pf[108] 0.664 0 0.023 0.62 0.648 0.663 0.679 0.709 4000 1
pf[109] 0.471 0 0.013 0.445 0.462 0.471 0.48 0.497 4000 1.002
pf[110] 0.707 0 0.024 0.661 0.691 0.707 0.724 0.755 4000 1
pf[111] 0.447 0 0.013 0.421 0.438 0.447 0.456 0.472 4000 1.003
pf[112] 0.45 0 0.013 0.424 0.441 0.449 0.459 0.476 4000 1.001
pf[113] 0.634 0 0.024 0.587 0.619 0.634 0.65 0.682 4000 1
pf[114] 0.606 0 0.03 0.546 0.586 0.606 0.626 0.666 4000 1
pf[115] 0.642 0 0.023 0.597 0.626 0.641 0.657 0.687 4000 1
pf[116] 0.429 0 0.011 0.408 0.422 0.429 0.436 0.45 4000 1.002
pf[117] 0.482 0 0.013 0.456 0.474 0.482 0.492 0.509 4000 1.002
pf[118] 0.43 0 0.011 0.409 0.423 0.43 0.437 0.452 4000 1.004
pf[119] 1.058 0.001 0.045 0.986 1.029 1.052 1.081 1.156 4000 1
pf[120] 0.733 0 0.028 0.678 0.714 0.733 0.752 0.788 4000 0.999
pf[121] 0.645 0 0.025 0.598 0.627 0.645 0.662 0.694 4000 0.999
pf[122] 1.02 0.001 0.046 0.946 0.99 1.016 1.045 1.117 4000 1.001
pf[123] 0.41 0 0.011 0.388 0.402 0.409 0.417 0.432 4000 1.005
pf[124] 0.574 0 0.013 0.55 0.565 0.574 0.583 0.6 4000 1.001
pf[125] 0.59 0.001 0.032 0.528 0.568 0.589 0.612 0.652 4000 1
pf[126] 0.699 0.001 0.033 0.635 0.677 0.699 0.721 0.763 4000 0.999
pf[127] 0.376 0 0.012 0.353 0.368 0.376 0.384 0.399 4000 1.003
pf[128] 0.872 0.001 0.047 0.785 0.84 0.871 0.903 0.966 4000 1
pf[129] 0.506 0 0.013 0.48 0.497 0.506 0.515 0.532 4000 1.002
pf[130] 0.486 0 0.013 0.46 0.477 0.486 0.495 0.511 4000 1.001
pf[131] 0.526 0 0.013 0.5 0.517 0.526 0.535 0.552 4000 1.001
pf[132] 0.358 0 0.011 0.337 0.351 0.358 0.365 0.379 4000 1.006
pf[133] 0.458 0 0.011 0.437 0.45 0.458 0.465 0.479 4000 1.004
pf[134] 0.366 0 0.012 0.342 0.358 0.365 0.374 0.39 4000 1.006
pf[135] 0.96 0.001 0.044 0.882 0.931 0.958 0.986 1.053 4000 1
pf[136] 0.374 0 0.012 0.351 0.366 0.374 0.383 0.397 4000 1.004
pf[137] 0.635 0 0.028 0.579 0.616 0.634 0.653 0.69 4000 1
pf[138] 0.413 0 0.011 0.392 0.406 0.413 0.421 0.435 4000 1.003
pf[139] 0.402 0 0.012 0.379 0.394 0.402 0.41 0.425 4000 1.004
pf[140] 0.513 0 0.013 0.488 0.505 0.513 0.521 0.538 4000 1.002
pf[141] 0.781 0 0.026 0.731 0.763 0.779 0.798 0.833 4000 1
pf[142] 0.82 0 0.027 0.769 0.801 0.818 0.836 0.878 4000 1
pf[143] 0.423 0 0.015 0.395 0.414 0.423 0.433 0.453 4000 1.001
pf[144] 0.356 0 0.012 0.333 0.348 0.356 0.363 0.379 4000 1.004
pf[145] 1.104 0.001 0.056 1.02 1.066 1.097 1.132 1.227 4000 1.002
pf[146] 0.369 0 0.012 0.346 0.361 0.369 0.377 0.392 4000 1.006
pf[147] 0.876 0.001 0.047 0.788 0.841 0.875 0.907 0.97 4000 0.999
pf[148] 0.473 0 0.014 0.446 0.464 0.474 0.483 0.501 4000 1
pf[149] 1.022 0.001 0.043 0.951 0.993 1.019 1.046 1.114 4000 1
pf[150] 0.31 0 0.011 0.29 0.303 0.31 0.317 0.331 4000 1.008
pf[151] 0.643 0 0.025 0.595 0.626 0.642 0.66 0.696 4000 0.999
pf[152] 0.331 0 0.011 0.309 0.324 0.332 0.339 0.354 4000 1.005
pf[153] 0.376 0 0.013 0.351 0.368 0.376 0.385 0.401 4000 1.004
pf[154] 0.528 0 0.014 0.501 0.518 0.527 0.537 0.557 4000 1.001
pf[155] 0.353 0 0.011 0.33 0.345 0.353 0.36 0.374 4000 1.006
pf[156] 0.789 0 0.03 0.733 0.769 0.788 0.808 0.852 4000 0.999
pf[157] 0.69 0 0.027 0.639 0.672 0.69 0.708 0.746 4000 1
pf[158] 0.896 0.001 0.046 0.811 0.863 0.894 0.927 0.99 4000 1
pf[159] 0.649 0 0.027 0.597 0.63 0.648 0.667 0.703 4000 0.999
pf[160] 0.594 0 0.014 0.566 0.584 0.593 0.603 0.623 4000 1
pf[161] 0.406 0 0.012 0.381 0.398 0.406 0.414 0.429 4000 1.006
pf[162] 0.363 0 0.012 0.338 0.355 0.363 0.371 0.387 4000 1.004
pf[163] 0.39 0 0.013 0.363 0.381 0.39 0.398 0.415 4000 1.002
pf[164] 0.751 0 0.031 0.691 0.73 0.751 0.772 0.813 4000 1
pf[165] 0.352 0 0.013 0.326 0.343 0.352 0.36 0.378 4000 1.003
pf[166] 0.658 0 0.029 0.602 0.638 0.658 0.678 0.716 4000 1
pf[167] 1.037 0.001 0.047 0.961 1.005 1.032 1.064 1.142 4000 1.001
pf[168] 0.84 0 0.031 0.784 0.819 0.838 0.859 0.907 4000 0.999
pf[169] 0.287 0.001 0.01 0.266 0.28 0.287 0.293 0.307 337.095 1.009
pf[170] 0.459 0 0.015 0.431 0.449 0.459 0.469 0.488 4000 1.001
pf[171] 0.428 0 0.013 0.403 0.42 0.428 0.437 0.454 4000 1.002
pf[172] 0.42 0 0.013 0.396 0.412 0.42 0.428 0.445 4000 1.002
pf[173] 0.564 0.001 0.043 0.478 0.535 0.564 0.593 0.651 4000 1
pf[174] 0.668 0 0.027 0.617 0.65 0.668 0.685 0.722 4000 0.999
pf[175] 0.274 0 0.011 0.253 0.267 0.274 0.282 0.295 4000 1.01
pf[176] 0.274 0.001 0.011 0.252 0.266 0.273 0.281 0.294 321.57 1.012
pf[177] 0.69 0 0.024 0.645 0.673 0.69 0.706 0.739 4000 0.999
pf[178] 0.263 0.001 0.011 0.242 0.256 0.263 0.27 0.284 327.085 1.01
pf[179] 0.334 0 0.015 0.306 0.325 0.334 0.344 0.363 4000 1.005
pf[180] 0.396 0 0.013 0.371 0.387 0.396 0.405 0.421 4000 1.003
pf[181] 0.263 0.001 0.011 0.242 0.256 0.263 0.271 0.285 356.105 1.012
pf[182] 0.436 0 0.016 0.405 0.425 0.436 0.447 0.467 4000 1.002
pf[183] 0.282 0 0.011 0.259 0.274 0.282 0.289 0.302 4000 1.007
pf[184] 0.352 0 0.014 0.324 0.343 0.352 0.361 0.377 4000 1.004
pf[185] 0.762 0.001 0.041 0.684 0.735 0.762 0.79 0.846 4000 1
pf[186] 0.868 0.001 0.054 0.771 0.831 0.865 0.903 0.985 4000 0.999
pf[187] 0.392 0 0.013 0.366 0.384 0.392 0.401 0.419 4000 1.003
pf[188] 0.301 0 0.012 0.279 0.294 0.301 0.309 0.324 4000 1.007
pf[189] 1.114 0.001 0.065 1.024 1.071 1.103 1.143 1.276 2287.357 1.003
pf[190] 0.291 0 0.011 0.268 0.283 0.291 0.298 0.312 4000 1.008
pf[191] 0.283 0 0.011 0.26 0.276 0.283 0.29 0.304 4000 1.007
pf[192] 0.274 0 0.012 0.251 0.266 0.274 0.282 0.296 4000 1.008
pf[193] 0.38 0 0.014 0.353 0.371 0.379 0.389 0.407 4000 1.001
pf[194] 0.792 0.001 0.033 0.731 0.77 0.791 0.814 0.862 4000 0.999
pf[195] 0.825 0 0.03 0.769 0.804 0.824 0.844 0.891 4000 0.999
pf[196] 0.348 0 0.015 0.317 0.337 0.348 0.358 0.377 4000 1
pf[197] 1.214 0.003 0.095 1.094 1.154 1.195 1.251 1.456 1452.068 1.001
pf[198] 0.365 0 0.015 0.336 0.355 0.365 0.375 0.393 4000 1.003
pf[199] 0.267 0.001 0.011 0.246 0.26 0.267 0.275 0.289 326.819 1.009
pf[200] 1.28 0.001 0.091 1.145 1.216 1.266 1.326 1.507 4000 1
pf[201] 1.171 0.002 0.087 1.054 1.111 1.153 1.21 1.397 2232.286 1
pf[202] 0.861 0.001 0.058 0.752 0.821 0.859 0.9 0.978 4000 1.001
pf[203] 0.37 0 0.015 0.342 0.36 0.37 0.38 0.399 4000 1.004
pf[204] 0.354 0 0.014 0.326 0.344 0.354 0.363 0.382 4000 1.002
pf[205] 0.341 0 0.014 0.314 0.332 0.341 0.351 0.369 4000 1.001
pf[206] 0.402 0 0.014 0.376 0.393 0.402 0.411 0.43 4000 1.002
pf[207] 0.327 0 0.013 0.302 0.318 0.327 0.336 0.353 4000 1.003
pf[208] 0.685 0.001 0.034 0.621 0.662 0.684 0.708 0.752 4000 1
pf[209] 0.414 0 0.017 0.38 0.403 0.414 0.426 0.447 4000 1.002
pf[210] 0.264 0.001 0.011 0.243 0.257 0.265 0.272 0.286 353.676 1.009
pf[211] 0.68 0 0.025 0.633 0.662 0.679 0.697 0.732 4000 1.001
pf[212] 0.369 0 0.014 0.342 0.36 0.369 0.379 0.397 4000 1.004
pf[213] 0.38 0 0.013 0.355 0.371 0.38 0.388 0.405 4000 1.004
pf[214] 0.378 0 0.014 0.35 0.368 0.378 0.387 0.406 4000 1.002
pf[215] 0.386 0 0.014 0.36 0.376 0.386 0.395 0.414 4000 1.004
pf[216] 0.355 0 0.015 0.326 0.345 0.355 0.366 0.385 4000 1.003
pf[217] 0.429 0 0.014 0.401 0.419 0.429 0.438 0.456 4000 1.002
pf[218] 0.989 0.001 0.048 0.905 0.957 0.985 1.017 1.094 4000 1.001
pf[219] 0.673 0 0.027 0.622 0.655 0.672 0.69 0.728 4000 1
pf[220] 0.707 0 0.03 0.649 0.687 0.706 0.727 0.766 4000 1.001
pf[221] 1.073 0.001 0.066 0.978 1.029 1.063 1.103 1.237 2463.567 1.001
pf[222] 0.596 0.001 0.039 0.519 0.571 0.597 0.622 0.671 4000 1
pf[223] 0.366 0 0.014 0.339 0.356 0.366 0.376 0.393 4000 1.003
pf[224] 0.908 0.001 0.052 0.809 0.875 0.905 0.941 1.018 4000 1
pf[225] 0.474 0 0.016 0.443 0.464 0.475 0.485 0.505 4000 1.002
pf[226] 1.037 0.001 0.044 0.967 1.007 1.031 1.06 1.143 4000 0.999
pf[227] 0.427 0 0.017 0.394 0.415 0.427 0.439 0.46 4000 1.001
pf[228] 1.031 0.001 0.06 0.936 0.991 1.023 1.061 1.173 4000 1
pf[229] 0.37 0 0.015 0.34 0.359 0.37 0.38 0.4 4000 1.002
pf[230] 0.242 0 0.011 0.22 0.235 0.242 0.25 0.264 4000 1.01
pf[231] 0.749 0.001 0.039 0.675 0.724 0.749 0.775 0.826 4000 1
pf[232] 0.271 0 0.012 0.248 0.263 0.271 0.279 0.294 4000 1.008
pf[233] 0.231 0.001 0.011 0.209 0.224 0.232 0.239 0.253 321.538 1.012
pf[234] 0.617 0 0.02 0.581 0.603 0.615 0.629 0.658 4000 1
pf[235] 0.234 0.001 0.011 0.212 0.227 0.234 0.242 0.256 348.8 1.01
pf[236] 0.738 0 0.029 0.685 0.718 0.737 0.757 0.799 4000 1
pf[237] 0.229 0.001 0.011 0.205 0.221 0.229 0.236 0.25 296.749 1.011
pf[238] 0.349 0 0.013 0.324 0.341 0.349 0.358 0.374 4000 1.005
pf[239] 0.227 0 0.012 0.204 0.22 0.227 0.235 0.25 4000 1.008
pf[240] 1.225 0.002 0.098 1.087 1.155 1.206 1.272 1.471 2693.896 1
pf[241] 0.342 0 0.015 0.313 0.333 0.343 0.353 0.371 4000 1.003
pf[242] 0.61 0.001 0.038 0.538 0.584 0.61 0.635 0.682 4000 1
pf[243] 0.225 0.001 0.011 0.202 0.217 0.225 0.233 0.248 306.43 1.01
pf[244] 0.649 0.001 0.033 0.584 0.627 0.648 0.67 0.714 4000 1
pf[245] 0.277 0 0.014 0.25 0.268 0.277 0.287 0.304 4000 1.005
pf[246] 0.785 0.001 0.033 0.724 0.763 0.783 0.806 0.853 4000 1
pf[247] 0.264 0 0.012 0.24 0.256 0.264 0.272 0.288 4000 1.006
pf[248] 0.741 0.001 0.04 0.665 0.714 0.74 0.767 0.82 4000 0.999
pf[249] 0.254 0 0.014 0.227 0.244 0.253 0.263 0.28 4000 1.008
pf[250] 0.408 0 0.02 0.37 0.395 0.408 0.422 0.447 4000 1.002
pf[251] 0.671 0.001 0.037 0.603 0.646 0.671 0.697 0.743 4000 1
pf[252] 0.705 0 0.025 0.657 0.688 0.705 0.722 0.756 4000 0.999
pf[253] 0.458 0 0.016 0.427 0.447 0.458 0.469 0.49 4000 1.001
pf[254] 0.292 0 0.013 0.267 0.283 0.292 0.3 0.316 4000 1.004
pf[255] 0.954 0.001 0.051 0.862 0.919 0.951 0.985 1.062 4000 1
pf[256] 0.35 0 0.015 0.321 0.34 0.35 0.36 0.379 4000 1.002
pf[257] 0.284 0 0.013 0.258 0.275 0.284 0.293 0.31 4000 1.008
pf[258] 0.808 0.001 0.032 0.749 0.785 0.807 0.828 0.874 4000 0.999
pf[259] 0.216 0.001 0.012 0.193 0.209 0.216 0.224 0.239 374.217 1.011
pf[260] 0.466 0 0.016 0.435 0.456 0.466 0.477 0.498 4000 1
pf[261] 0.703 0 0.032 0.642 0.681 0.703 0.723 0.767 4000 0.999
pf[262] 0.675 0 0.027 0.624 0.657 0.674 0.694 0.73 4000 0.999
pf[263] 0.615 0.001 0.038 0.54 0.589 0.616 0.641 0.689 4000 1
pf[264] 0.358 0 0.015 0.328 0.348 0.358 0.368 0.387 4000 1.004
pf[265] 0.287 0 0.013 0.261 0.278 0.287 0.295 0.314 4000 1.005
pf[266] 0.499 0 0.015 0.471 0.489 0.499 0.509 0.529 4000 1.001
pf[267] 0.444 0 0.014 0.417 0.434 0.445 0.454 0.473 4000 1.001
pf[268] 0.242 0.001 0.012 0.218 0.234 0.242 0.25 0.264 334.506 1.009
pf[269] 1.09 0.002 0.074 0.985 1.041 1.077 1.122 1.276 2242.072 1.001
pf[270] 0.247 0 0.013 0.223 0.239 0.247 0.256 0.272 4000 1.007
pf[271] 0.246 0 0.012 0.223 0.238 0.246 0.254 0.27 4000 1.007
pf[272] 0.217 0.001 0.012 0.194 0.21 0.218 0.225 0.24 335.35 1.01
pf[273] 0.728 0.001 0.045 0.64 0.697 0.727 0.758 0.816 4000 0.999
pf[274] 0.301 0 0.014 0.273 0.292 0.301 0.31 0.329 4000 1.004
pf[275] 0.42 0 0.02 0.381 0.407 0.42 0.433 0.458 4000 1.001
pf[276] 0.632 0.001 0.043 0.548 0.603 0.633 0.661 0.716 4000 0.999
pf[277] 0.835 0.001 0.046 0.754 0.805 0.831 0.861 0.936 4000 1
pf[278] 0.215 0.001 0.012 0.193 0.208 0.215 0.223 0.238 362.273 1.01
pf[279] 0.225 0.001 0.012 0.201 0.217 0.226 0.233 0.248 379.065 1.012
pf[280] 0.44 0 0.017 0.406 0.428 0.439 0.451 0.475 4000 1.002
pf[281] 0.792 0.001 0.04 0.72 0.765 0.791 0.818 0.873 4000 1
pf[282] 0.324 0 0.018 0.29 0.312 0.324 0.336 0.36 4000 1.001
pf[283] 0.338 0 0.016 0.305 0.327 0.338 0.348 0.369 4000 1.003
pf[284] 0.584 0.001 0.051 0.476 0.551 0.585 0.619 0.679 4000 1
pf[285] 0.212 0.001 0.012 0.189 0.204 0.212 0.22 0.236 347.491 1.013
pf[286] 0.201 0.001 0.012 0.178 0.193 0.201 0.209 0.224 292.597 1.01
pf[287] 0.207 0.001 0.012 0.183 0.199 0.207 0.215 0.231 364.335 1.01
pf[288] 0.221 0 0.012 0.197 0.213 0.221 0.23 0.246 4000 1.007
pf[289] 0.45 0 0.017 0.418 0.439 0.45 0.462 0.484 4000 1.001
pf[290] 0.367 0 0.015 0.338 0.357 0.367 0.377 0.397 4000 1.002
pf[291] 0.224 0.001 0.012 0.2 0.217 0.225 0.232 0.247 321.298 1.007
pf[292] 0.647 0 0.029 0.59 0.626 0.646 0.667 0.705 4000 0.999
pf[293] 0.823 0 0.024 0.777 0.807 0.823 0.839 0.873 4000 1
pf[294] 0.602 0.001 0.048 0.505 0.571 0.604 0.635 0.694 4000 1
pf[295] 0.675 0 0.031 0.615 0.654 0.675 0.696 0.737 4000 1
pf[296] 0.631 0.001 0.037 0.56 0.606 0.632 0.656 0.704 4000 1
pf[297] 0.245 0 0.013 0.221 0.237 0.245 0.254 0.27 4000 1.007
pf[298] 0.295 0 0.014 0.266 0.285 0.295 0.305 0.323 4000 1.003
pf[299] 0.316 0 0.014 0.29 0.307 0.316 0.325 0.342 4000 1.004
pf[300] 0.31 0 0.018 0.275 0.297 0.31 0.322 0.345 4000 1.002
pf[301] 0.196 0.001 0.012 0.172 0.188 0.196 0.204 0.219 319.475 1.008
pf[302] 0.289 0 0.014 0.263 0.28 0.289 0.299 0.316 4000 1.005
pf[303] 0.365 0 0.015 0.335 0.355 0.366 0.376 0.394 4000 1.001
pf[304] 0.81 0.001 0.038 0.743 0.784 0.808 0.834 0.889 4000 1
pf[305] 0.682 0 0.028 0.63 0.662 0.681 0.7 0.738 4000 1
pf[306] 0.873 0.001 0.038 0.807 0.846 0.871 0.897 0.955 4000 1
pf[307] 0.228 0 0.013 0.202 0.219 0.228 0.236 0.253 4000 1.009
pf[308] 0.39 0 0.014 0.362 0.38 0.39 0.399 0.418 4000 1.003
pf[309] 0.275 0 0.013 0.249 0.266 0.274 0.283 0.299 4000 1.007
pf[310] 0.186 0.001 0.012 0.162 0.178 0.186 0.195 0.21 311.888 1.013
pf[311] 1.008 0.001 0.069 0.905 0.963 1 1.041 1.172 4000 1.002
pf[312] 0.695 0 0.031 0.634 0.674 0.694 0.716 0.759 4000 1
pf[313] 0.186 0.001 0.012 0.162 0.178 0.186 0.194 0.209 309.494 1.01
pf[314] 1.221 0.002 0.092 1.091 1.156 1.203 1.265 1.451 2766.783 1.001
pf[315] 1.129 0.002 0.083 1.018 1.075 1.111 1.164 1.345 2258.077 1.001
pf[316] 0.303 0 0.018 0.267 0.291 0.303 0.315 0.339 4000 1.002
pf[317] 0.329 0 0.017 0.294 0.317 0.329 0.341 0.362 4000 1.003
pf[318] 0.267 0 0.015 0.238 0.257 0.267 0.277 0.296 4000 1.005
pf[319] 0.251 0 0.015 0.222 0.241 0.251 0.261 0.279 4000 1.005
pf[320] 0.267 0 0.014 0.239 0.258 0.267 0.277 0.295 4000 1.005
pf[321] 0.178 0.001 0.012 0.154 0.17 0.178 0.187 0.203 342.295 1.01
pf[322] 0.18 0.001 0.012 0.155 0.171 0.18 0.188 0.202 285.236 1.011
pf[323] 0.179 0.001 0.012 0.156 0.17 0.179 0.187 0.202 314.755 1.01
pf[324] 0.194 0 0.012 0.169 0.185 0.194 0.202 0.217 4000 1.013
pf[325] 0.341 0 0.016 0.309 0.33 0.341 0.353 0.372 4000 1.003
pf[326] 0.246 0 0.015 0.216 0.236 0.246 0.256 0.274 4000 1.005
pf[327] 0.38 0 0.015 0.35 0.369 0.38 0.39 0.411 4000 1.003
pf[328] 0.183 0.001 0.012 0.159 0.175 0.184 0.192 0.207 324.008 1.011
pf[329] 0.42 0 0.02 0.381 0.406 0.419 0.433 0.458 4000 1
pf[330] 0.177 0 0.013 0.152 0.169 0.177 0.186 0.201 4000 1.009
pf[331] 0.24 0 0.015 0.212 0.23 0.24 0.25 0.27 4000 1.005
pf[332] 0.177 0 0.012 0.153 0.169 0.177 0.186 0.2 4000 1.012
pf[333] 0.604 0.001 0.044 0.519 0.574 0.604 0.634 0.69 4000 1
pf[334] 0.671 0.001 0.035 0.607 0.647 0.67 0.695 0.744 4000 1
pf[335] 0.406 0 0.014 0.378 0.397 0.406 0.416 0.436 4000 1.003
pf[336] 0.698 0.001 0.048 0.607 0.665 0.698 0.732 0.79 4000 0.999
pf[337] 0.845 0.001 0.039 0.774 0.818 0.842 0.87 0.927 4000 1
pf[338] 0.174 0.001 0.013 0.149 0.165 0.174 0.182 0.198 339.847 1.011
pf[339] 0.308 0 0.019 0.271 0.295 0.308 0.32 0.344 4000 1.002
pf[340] 0.249 0 0.015 0.219 0.238 0.249 0.259 0.279 4000 1.006
pf[341] 0.609 0.001 0.047 0.514 0.576 0.61 0.642 0.696 4000 1
pf[342] 0.175 0.001 0.012 0.15 0.167 0.175 0.183 0.199 274.802 1.012
pf[343] 0.347 0 0.016 0.316 0.336 0.347 0.358 0.377 4000 1.002
pf[344] 0.341 0 0.017 0.308 0.329 0.341 0.352 0.373 4000 1.001
pf[345] 0.266 0 0.015 0.236 0.256 0.266 0.277 0.297 4000 1.007
pf[346] 0.312 0 0.019 0.274 0.298 0.312 0.325 0.349 4000 1.001
pf[347] 0.467 0 0.017 0.434 0.455 0.466 0.478 0.5 4000 1.002
pf[348] 0.397 0 0.022 0.353 0.383 0.397 0.411 0.439 4000 1.001
pf[349] 0.169 0.001 0.013 0.142 0.161 0.17 0.177 0.194 337.566 1.012
pf[350] 0.423 0 0.019 0.387 0.411 0.423 0.436 0.46 4000 1.001
pf[351] 0.17 0.001 0.012 0.146 0.162 0.17 0.178 0.194 274.544 1.014
pf[352] 0.969 0.001 0.076 0.844 0.918 0.961 1.01 1.14 4000 1
pf[353] 0.241 0 0.015 0.211 0.231 0.241 0.251 0.27 4000 1.006
pf[354] 0.343 0 0.017 0.31 0.332 0.343 0.354 0.376 4000 1.002
pf[355] 0.292 0 0.015 0.263 0.283 0.292 0.302 0.322 4000 1.005
pf[356] 0.237 0 0.013 0.211 0.229 0.238 0.246 0.263 4000 1.007
pf[357] 0.179 0.001 0.013 0.154 0.17 0.179 0.187 0.202 331.922 1.012
pf[358] 0.178 0 0.013 0.152 0.17 0.178 0.187 0.203 4000 1.012
pf[359] 0.246 0 0.013 0.22 0.238 0.247 0.256 0.271 4000 1.009
pf[360] 0.196 0 0.013 0.169 0.187 0.196 0.205 0.221 4000 1.011
pf[361] 0.178 0 0.012 0.154 0.17 0.178 0.186 0.202 4000 1.012
pf[362] 0.673 0 0.031 0.614 0.651 0.672 0.693 0.737 4000 1
pf[363] 0.489 0 0.016 0.457 0.479 0.489 0.5 0.522 4000 1
pf[364] 0.777 0.001 0.038 0.707 0.751 0.776 0.8 0.858 4000 1
pf[365] 0.191 0 0.013 0.166 0.183 0.192 0.2 0.216 4000 1.009
pf[366] 0.25 0 0.016 0.22 0.239 0.25 0.261 0.282 4000 1.003
pf[367] 0.249 0 0.013 0.223 0.24 0.249 0.258 0.273 4000 1.007
pf[368] 0.19 0 0.013 0.165 0.181 0.19 0.199 0.214 4000 1.009
pf[369] 0.255 0 0.016 0.223 0.244 0.255 0.266 0.288 4000 1.006
pf[370] 0.172 0 0.013 0.147 0.163 0.172 0.181 0.197 4000 1.009
pf[371] 0.644 0.001 0.033 0.581 0.622 0.643 0.667 0.714 4000 0.999
pf[372] 0.382 0 0.016 0.349 0.371 0.382 0.393 0.414 4000 1.002
pf[373] 0.663 0.001 0.035 0.597 0.639 0.661 0.686 0.73 4000 1
pf[374] 0.297 0 0.015 0.268 0.287 0.297 0.307 0.325 4000 1.004
pf[375] 0.158 0 0.013 0.132 0.149 0.158 0.167 0.183 4000 1.01
pf[376] 0.341 0 0.019 0.305 0.329 0.342 0.354 0.377 4000 1.001
pf[377] 0.395 0 0.014 0.367 0.385 0.395 0.404 0.423 4000 1.001
pf[378] 0.238 0 0.013 0.212 0.229 0.238 0.247 0.264 4000 1.008
pf[379] 0.526 0 0.017 0.494 0.515 0.526 0.537 0.56 4000 1
pf[380] 0.413 0 0.021 0.373 0.398 0.412 0.427 0.452 4000 1.002
pf[381] 0.228 0 0.013 0.201 0.22 0.229 0.237 0.254 4000 1.008
pf[382] 0.379 0 0.017 0.345 0.368 0.379 0.39 0.411 4000 1.001
pf[383] 0.329 0 0.018 0.293 0.317 0.329 0.34 0.365 4000 1.001
pf[384] 0.183 0.001 0.013 0.157 0.175 0.183 0.192 0.207 322.43 1.013
pf[385] 0.155 0.001 0.013 0.129 0.147 0.155 0.164 0.18 321.819 1.013
pf[386] 0.289 0 0.021 0.247 0.274 0.289 0.304 0.33 4000 1.001
pf[387] 0.317 0 0.019 0.281 0.305 0.317 0.33 0.353 4000 1.002
pf[388] 0.191 0 0.015 0.161 0.181 0.191 0.201 0.219 4000 1.007
pf[389] 0.765 0.001 0.032 0.707 0.742 0.764 0.786 0.831 4000 1
pf[390] 1.107 0.002 0.089 0.979 1.048 1.092 1.149 1.316 2799.35 1
pf[391] 0.152 0.001 0.013 0.127 0.144 0.152 0.161 0.177 283.279 1.014
pf[392] 0.154 0.001 0.013 0.129 0.145 0.154 0.163 0.178 288.688 1.012
pf[393] 0.15 0.001 0.013 0.125 0.142 0.15 0.16 0.176 349.018 1.009
pf[394] 0.164 0 0.013 0.14 0.156 0.165 0.173 0.189 4000 1.012
pf[395] 0.152 0.001 0.013 0.125 0.143 0.152 0.16 0.176 339.931 1.011
pf[396] 0.15 0.001 0.013 0.125 0.142 0.151 0.159 0.175 376.603 1.009
pf[397] 0.189 0 0.013 0.163 0.18 0.189 0.198 0.215 4000 1.01
pf[398] 0.297 0 0.021 0.256 0.283 0.296 0.311 0.336 4000 1.002
pf[399] 0.172 0.001 0.013 0.145 0.163 0.172 0.181 0.197 375.072 1.01
pf[400] 0.148 0 0.013 0.122 0.139 0.149 0.157 0.174 4000 1.009
pf[401] 0.362 0 0.016 0.33 0.351 0.362 0.372 0.394 4000 1.002
pf[402] 0.951 0.001 0.07 0.841 0.906 0.944 0.987 1.096 4000 1
pf[403] 0.629 0.001 0.04 0.551 0.602 0.628 0.655 0.708 4000 0.999
pf[404] 0.211 0 0.014 0.183 0.202 0.211 0.22 0.239 4000 1.006
pf[405] 0.182 0 0.013 0.155 0.173 0.182 0.191 0.206 4000 1.012
pf[406] 0.335 0 0.018 0.298 0.323 0.335 0.348 0.37 4000 1.002
pf[407] 0.368 0 0.016 0.336 0.358 0.368 0.379 0.4 4000 1.001
pf[408] 0.154 0 0.013 0.128 0.145 0.154 0.163 0.18 4000 1.007
pf[409] 0.145 0.001 0.013 0.119 0.136 0.145 0.154 0.171 395.658 1.01
pf[410] 0.219 0 0.017 0.185 0.208 0.22 0.231 0.252 4000 1.005
pf[411] 0.828 0.001 0.039 0.76 0.801 0.826 0.852 0.91 4000 0.999
pf[412] 0.423 0 0.016 0.393 0.413 0.423 0.434 0.454 4000 1.001
pf[413] 0.195 0 0.015 0.167 0.186 0.195 0.206 0.224 4000 1.008
pf[414] 0.305 0 0.02 0.265 0.292 0.306 0.319 0.344 4000 1.001
pf[415] 0.329 0 0.019 0.291 0.316 0.329 0.342 0.366 4000 1.001
pf[416] 0.209 0 0.014 0.182 0.2 0.209 0.219 0.236 4000 1.009
pf[417] 0.14 0.001 0.013 0.113 0.132 0.141 0.149 0.166 331.554 1.01
pf[418] 0.174 0 0.014 0.147 0.164 0.174 0.183 0.2 4000 1.009
pf[419] 0.334 0 0.018 0.3 0.322 0.334 0.346 0.368 4000 1.002
pf[420] 0.217 0 0.014 0.188 0.207 0.217 0.226 0.244 4000 1.005
pf[421] 0.138 0.001 0.013 0.112 0.129 0.138 0.147 0.165 386.58 1.01
pf[422] 0.429 0 0.016 0.397 0.418 0.429 0.439 0.461 4000 1
pf[423] 0.686 0.001 0.04 0.609 0.658 0.685 0.712 0.769 4000 0.999
pf[424] 0.658 0 0.031 0.599 0.637 0.657 0.678 0.722 4000 0.999
pf[425] 0.232 0 0.014 0.204 0.222 0.232 0.241 0.259 4000 1.009
pf[426] 0.146 0 0.014 0.119 0.137 0.147 0.155 0.172 4000 1.008
pf[427] 0.147 0.001 0.014 0.12 0.138 0.147 0.157 0.173 358.13 1.009
pf[428] 0.136 0 0.013 0.11 0.127 0.136 0.145 0.161 4000 1.012
pf[429] 0.214 0 0.014 0.185 0.205 0.214 0.224 0.241 4000 1.007
pf[430] 0.214 0 0.014 0.187 0.204 0.214 0.224 0.241 4000 1.007
pf[431] 0.852 0.001 0.041 0.781 0.824 0.849 0.877 0.941 4000 1
pf[432] 0.483 0 0.015 0.454 0.472 0.482 0.493 0.514 4000 1.001
pf[433] 0.236 0 0.014 0.208 0.226 0.236 0.246 0.263 4000 1.007
pf[434] 0.366 0 0.018 0.33 0.354 0.366 0.379 0.401 4000 1.003
pf[435] 0.211 0 0.017 0.177 0.2 0.211 0.223 0.245 4000 1.003
pf[436] 0.181 0 0.015 0.151 0.171 0.181 0.191 0.209 4000 1.006
pf[437] 0.205 0 0.015 0.175 0.195 0.205 0.215 0.234 4000 1.005
pf[438] 0.291 0 0.023 0.246 0.276 0.291 0.306 0.335 4000 1.001
pf[439] 0.402 0 0.017 0.369 0.391 0.402 0.413 0.435 4000 1.001
pf[440] 0.368 0 0.016 0.337 0.358 0.369 0.379 0.399 4000 1.003
pf[441] 0.128 0 0.014 0.099 0.118 0.128 0.137 0.154 4000 1.009
pf[442] 0.132 0.001 0.013 0.105 0.123 0.132 0.141 0.158 306.409 1.014
pf[443] 0.32 0 0.019 0.283 0.308 0.321 0.333 0.356 4000 1.002
pf[444] 0.803 0.001 0.041 0.728 0.775 0.801 0.829 0.89 4000 0.999
pf[445] 0.129 0.001 0.013 0.103 0.12 0.129 0.138 0.154 311.102 1.014
pf[446] 0.31 0 0.02 0.269 0.297 0.31 0.323 0.349 4000 1.001
pf[447] 0.145 0 0.014 0.118 0.136 0.145 0.155 0.172 4000 1.012
pf[448] 0.306 0 0.013 0.279 0.297 0.306 0.314 0.332 4000 1.005
pf[449] 0.446 0 0.018 0.409 0.434 0.446 0.459 0.482 4000 1
pf[450] 0.124 0.001 0.014 0.096 0.115 0.124 0.133 0.15 308.349 1.013
pf[451] 0.281 0 0.025 0.231 0.264 0.281 0.297 0.329 4000 1.002
pf[452] 0.144 0 0.014 0.116 0.135 0.144 0.154 0.171 4000 1.006
pf[453] 0.379 0 0.025 0.328 0.363 0.38 0.396 0.429 4000 1
pf[454] 0.365 0 0.016 0.333 0.354 0.365 0.376 0.397 4000 1.004
pf[455] 0.179 0 0.015 0.148 0.169 0.179 0.189 0.208 4000 1.008
pf[456] 0.367 0 0.016 0.336 0.356 0.367 0.377 0.399 4000 1.002
pf[457] 0.256 0 0.016 0.224 0.246 0.256 0.267 0.289 4000 1.004
pf[458] 0.12 0.001 0.014 0.093 0.111 0.12 0.129 0.146 340.35 1.011
pf[459] 0.666 0.001 0.032 0.607 0.644 0.665 0.687 0.73 4000 1
pf[460] 0.75 0.001 0.055 0.647 0.713 0.749 0.786 0.86 4000 1
pf[461] 0.201 0 0.013 0.175 0.192 0.201 0.21 0.227 4000 1.007
pf[462] 0.949 0.001 0.075 0.835 0.897 0.94 0.99 1.13 4000 1
pf[463] 0.346 0 0.018 0.311 0.335 0.347 0.358 0.381 4000 1.003
pf[464] 0.203 0 0.015 0.173 0.193 0.203 0.213 0.231 4000 1.009
pf[465] 0.121 0 0.014 0.095 0.112 0.121 0.13 0.148 4000 1.013
pf[466] 0.118 0 0.014 0.09 0.108 0.118 0.128 0.144 4000 1.011
pf[467] 0.259 0 0.017 0.226 0.247 0.259 0.27 0.291 4000 1.004
pf[468] 0.12 0.001 0.014 0.093 0.111 0.12 0.13 0.146 307.808 1.013
pf[469] 0.185 0 0.016 0.153 0.174 0.185 0.195 0.214 4000 1.009
pf[470] 0.693 0.001 0.042 0.615 0.664 0.691 0.72 0.777 4000 1
pf[471] 0.271 0 0.015 0.242 0.261 0.271 0.282 0.302 4000 1.003
pf[472] 0.118 0.001 0.014 0.09 0.109 0.119 0.128 0.145 337.554 1.01
pf[473] 0.139 0.001 0.014 0.111 0.129 0.139 0.149 0.166 345.283 1.011
pf[474] 0.597 0.001 0.048 0.502 0.565 0.597 0.629 0.69 4000 0.999
pf[475] 0.128 0 0.014 0.101 0.119 0.129 0.137 0.156 4000 1.008
pf[476] 0.213 0 0.018 0.176 0.201 0.213 0.225 0.248 4000 1.005
pf[477] 0.114 0 0.014 0.086 0.105 0.114 0.124 0.142 4000 1.013
pf[478] 0.38 0 0.016 0.347 0.369 0.38 0.391 0.412 4000 1.001
pf[479] 0.356 0 0.017 0.324 0.345 0.356 0.368 0.39 4000 1.001
pf[480] 0.383 0 0.015 0.354 0.374 0.383 0.393 0.412 4000 1.004
pf[481] 0.687 0.001 0.032 0.626 0.665 0.687 0.708 0.753 4000 1
pf[482] 0.117 0.001 0.014 0.091 0.108 0.117 0.127 0.143 347.008 1.012
pf[483] 0.46 0 0.019 0.424 0.447 0.46 0.472 0.496 4000 1.001
pf[484] 0.112 0.001 0.014 0.086 0.103 0.113 0.122 0.139 424.111 1.009
pf[485] 0.113 0.001 0.014 0.085 0.104 0.113 0.123 0.14 343.93 1.009
pf[486] 0.129 0.001 0.014 0.1 0.12 0.129 0.138 0.156 353.996 1.008
pf[487] 0.164 0 0.015 0.134 0.154 0.164 0.173 0.193 4000 1.011
pf[488] 0.113 0.001 0.014 0.086 0.104 0.114 0.123 0.14 329.178 1.013
pf[489] 0.314 0 0.02 0.274 0.301 0.314 0.327 0.353 4000 1.003
pf[490] 0.933 0.001 0.06 0.838 0.892 0.925 0.965 1.071 4000 1
pf[491] 0.119 0.001 0.014 0.09 0.109 0.119 0.128 0.146 377.129 1.01
pf[492] 0.122 0 0.015 0.092 0.112 0.122 0.131 0.151 4000 1.011
pf[493] 0.108 0.001 0.014 0.078 0.098 0.108 0.118 0.135 352.602 1.011
pf[494] 0.322 0 0.019 0.285 0.309 0.322 0.335 0.359 4000 1.003
pf[495] 0.843 0.001 0.046 0.763 0.812 0.839 0.869 0.945 4000 1
pf[496] 0.891 0.001 0.065 0.793 0.846 0.88 0.925 1.046 4000 1.001
pf[497] 0.224 0 0.019 0.186 0.211 0.225 0.237 0.261 4000 1.006
pf[498] 0.105 0.001 0.014 0.075 0.095 0.105 0.114 0.132 327.992 1.011
pf[499] 0.256 0 0.017 0.223 0.245 0.256 0.268 0.289 4000 1.002
pf[500] 0.465 0 0.02 0.428 0.452 0.465 0.478 0.505 4000 1
pf[501] 0.2 0 0.015 0.169 0.19 0.2 0.21 0.228 4000 1.006
pf[502] 0.211 0 0.013 0.185 0.202 0.211 0.22 0.236 4000 1.008
pf[503] 0.338 0 0.019 0.302 0.326 0.339 0.351 0.375 4000 1.002
pf[504] 0.111 0.001 0.014 0.084 0.101 0.111 0.12 0.137 309.69 1.013
pf[505] 0.168 0 0.016 0.137 0.158 0.168 0.179 0.199 4000 1.006
pf[506] 0.113 0 0.014 0.085 0.104 0.113 0.123 0.141 4000 1.009
pf[507] 0.276 0 0.018 0.242 0.264 0.275 0.288 0.31 4000 1.003
pf[508] 0.103 0 0.014 0.075 0.093 0.103 0.112 0.131 4000 1.009
pf[509] 0.178 0 0.016 0.147 0.167 0.178 0.188 0.208 4000 1.005
pf[510] 0.295 0 0.021 0.254 0.281 0.295 0.309 0.336 4000 1.001
pf[511] 0.305 0 0.021 0.263 0.291 0.305 0.319 0.345 4000 1.001
pf[512] 0.148 0 0.015 0.119 0.138 0.148 0.158 0.177 4000 1.01
pf[513] 0.411 0 0.022 0.367 0.396 0.411 0.426 0.454 4000 1
pf[514] 0.373 0 0.018 0.338 0.361 0.374 0.386 0.408 4000 1.003
pf[515] 0.141 0 0.015 0.112 0.131 0.141 0.151 0.17 4000 1.008
pf[516] 0.143 0 0.014 0.115 0.134 0.144 0.153 0.171 4000 1.009
pf[517] 0.104 0 0.014 0.076 0.095 0.104 0.114 0.132 4000 1.01
pf[518] 0.154 0 0.017 0.122 0.143 0.155 0.166 0.186 4000 1.004
pf[519] 0.096 0.001 0.014 0.067 0.086 0.096 0.106 0.124 401.232 1.009
pf[520] 0.099 0.001 0.014 0.071 0.089 0.098 0.108 0.126 336.697 1.011
pf[521] 0.095 0 0.015 0.065 0.085 0.095 0.105 0.123 4000 1.01
pf[522] 0.167 0 0.017 0.134 0.156 0.167 0.178 0.199 4000 1.006
pf[523] 0.616 0.001 0.049 0.521 0.583 0.617 0.649 0.711 4000 1
pf[524] 0.095 0 0.015 0.066 0.086 0.096 0.105 0.124 4000 1.008
pf[525] 0.096 0.001 0.014 0.068 0.086 0.096 0.106 0.124 302.059 1.012
pf[526] 0.518 0 0.018 0.484 0.505 0.517 0.529 0.553 4000 1.001
pf[527] 0.71 0.001 0.04 0.641 0.683 0.708 0.735 0.795 4000 1
pf[528] 0.668 0.001 0.05 0.573 0.634 0.667 0.703 0.767 4000 1
pf[529] 0.678 0.001 0.047 0.588 0.646 0.677 0.709 0.773 4000 1
pf[530] 0.183 0 0.016 0.151 0.172 0.184 0.194 0.214 4000 1.005
pf[531] 0.64 0.001 0.045 0.551 0.609 0.639 0.67 0.729 4000 0.999
pf[532] 0.11 0 0.015 0.08 0.1 0.11 0.12 0.139 4000 1.01
pf[533] 0.245 0 0.017 0.211 0.233 0.245 0.257 0.278 4000 1.005
pf[534] 0.105 0 0.015 0.075 0.095 0.105 0.115 0.134 4000 1.01
pf[535] 0.09 0.001 0.014 0.06 0.08 0.09 0.1 0.118 383.617 1.012
pf[536] 0.43 0 0.022 0.386 0.415 0.431 0.445 0.472 4000 1
pf[537] 0.106 0.001 0.015 0.077 0.096 0.107 0.116 0.135 376.511 1.009
pf[538] 0.092 0.001 0.015 0.063 0.081 0.092 0.102 0.12 344.365 1.011
pf[539] 0.184 0 0.016 0.15 0.173 0.183 0.195 0.215 4000 1.008
pf[540] 0.155 0 0.015 0.126 0.145 0.155 0.165 0.184 4000 1.009
pf[541] 0.131 0 0.014 0.103 0.121 0.131 0.14 0.158 4000 1.008
pf[542] 0.086 0 0.015 0.058 0.077 0.086 0.096 0.115 4000 1.01
pf[543] 0.373 0 0.017 0.341 0.362 0.373 0.384 0.406 4000 1.002
pf[544] 0.854 0.001 0.056 0.76 0.817 0.849 0.884 0.98 4000 1
pf[545] 0.121 0 0.015 0.092 0.111 0.121 0.131 0.149 4000 1.009
pf[546] 0.747 0.001 0.045 0.663 0.716 0.744 0.775 0.843 4000 0.999
pf[547] 0.3 0 0.022 0.258 0.286 0.301 0.315 0.343 4000 1.002
pf[548] 0.392 0 0.024 0.344 0.375 0.392 0.409 0.439 4000 1.002
pf[549] 0.51 0 0.019 0.476 0.498 0.51 0.522 0.549 4000 1.001
pf[550] 0.342 0 0.019 0.304 0.329 0.342 0.355 0.38 4000 1
pf[551] 0.088 0.001 0.015 0.059 0.079 0.089 0.098 0.117 345.038 1.012
pf[552] 0.084 0.001 0.015 0.054 0.074 0.084 0.094 0.112 362.233 1.011
pf[553] 0.636 0.001 0.045 0.552 0.605 0.635 0.665 0.727 4000 1
pf[554] 0.215 0 0.018 0.178 0.203 0.215 0.227 0.25 4000 1.004
pf[555] 0.08 0.001 0.015 0.049 0.07 0.08 0.09 0.107 331.819 1.011
pf[556] 0.345 0 0.018 0.309 0.333 0.344 0.356 0.381 4000 1.002
pf[557] 0.08 0 0.015 0.049 0.07 0.08 0.091 0.11 4000 1.008
pf[558] 0.781 0.001 0.057 0.678 0.742 0.778 0.816 0.903 4000 1
pf[559] 0.243 0 0.019 0.206 0.231 0.243 0.257 0.281 4000 1.002
pf[560] 0.202 0 0.019 0.163 0.189 0.202 0.215 0.239 4000 1.002
pf[561] 0.651 0.001 0.044 0.564 0.622 0.651 0.68 0.738 4000 0.999
pf[562] 0.418 0 0.022 0.375 0.403 0.418 0.433 0.46 4000 1
pf[563] 0.078 0.001 0.014 0.049 0.068 0.078 0.087 0.105 364.591 1.01
pf[564] 0.182 0 0.016 0.152 0.172 0.183 0.193 0.213 4000 1.007
pf[565] 0.697 0.001 0.043 0.616 0.668 0.697 0.726 0.782 4000 1
pf[566] 0.079 0.001 0.015 0.051 0.069 0.079 0.089 0.107 295.691 1.012
pf[567] 0.12 0 0.016 0.089 0.109 0.121 0.131 0.149 4000 1.006
pf[568] 0.16 0 0.015 0.131 0.15 0.161 0.171 0.189 4000 1.011
pf[569] 0.397 0 0.026 0.343 0.379 0.398 0.415 0.446 4000 1
pf[570] 0.078 0.001 0.014 0.05 0.068 0.078 0.088 0.105 297.162 1.015
pf[571] 0.69 0.001 0.057 0.576 0.653 0.691 0.725 0.803 4000 0.999
pf[572] 0.075 0.001 0.015 0.045 0.064 0.075 0.085 0.103 336.241 1.012
pf[573] 0.183 0 0.015 0.154 0.173 0.183 0.193 0.212 4000 1.008
pf[574] 0.077 0 0.015 0.047 0.067 0.077 0.088 0.106 4000 1.01
pf[575] 0.142 0 0.016 0.111 0.131 0.142 0.152 0.172 4000 1.006
pf[576] 0.357 0 0.02 0.319 0.344 0.358 0.371 0.394 4000 1
pf[577] 0.427 0 0.017 0.395 0.415 0.427 0.438 0.46 4000 1
pf[578] 0.173 0 0.014 0.146 0.164 0.173 0.183 0.202 4000 1.008
pf[579] 0.608 0.001 0.048 0.514 0.575 0.608 0.639 0.705 4000 1
pf[580] 0.49 0 0.018 0.456 0.478 0.49 0.502 0.527 4000 1.001
pf[581] 0.311 0 0.024 0.265 0.295 0.311 0.327 0.357 4000 1.001
pf[582] 0.072 0 0.015 0.042 0.062 0.072 0.082 0.1 4000 1.011
pf[583] 0.072 0 0.015 0.041 0.061 0.072 0.082 0.101 4000 1.01
pf[584] 0.089 0.001 0.015 0.059 0.079 0.089 0.1 0.117 392.668 1.012
pf[585] 0.363 0 0.019 0.326 0.351 0.364 0.376 0.4 4000 1.003
pf[586] 0.151 0 0.015 0.12 0.141 0.151 0.161 0.181 4000 1.009
pf[587] 0.259 0 0.018 0.223 0.246 0.258 0.271 0.294 4000 1.003
pf[588] 0.196 0 0.016 0.165 0.185 0.196 0.206 0.226 4000 1.005
pf[589] 0.341 0 0.018 0.305 0.329 0.341 0.353 0.377 4000 1.003
pf[590] 0.336 0 0.02 0.296 0.322 0.336 0.349 0.375 4000 1.003
pf[591] 0.796 0.001 0.052 0.707 0.76 0.792 0.826 0.913 4000 1
pf[592] 0.166 0 0.015 0.136 0.157 0.166 0.176 0.195 4000 1.008
pf[593] 0.076 0.001 0.015 0.047 0.067 0.077 0.086 0.104 315.047 1.01
pf[594] 0.304 0 0.017 0.272 0.292 0.303 0.316 0.336 4000 1.004
pf[595] 0.136 0 0.019 0.1 0.124 0.136 0.149 0.172 4000 1.004
pf[596] 0.638 0.001 0.048 0.543 0.606 0.638 0.669 0.733 4000 1
pf[597] 0.183 0 0.016 0.149 0.171 0.183 0.194 0.213 4000 1.005
pf[598] 0.072 0.001 0.015 0.043 0.062 0.071 0.081 0.102 318.576 1.01
pf[599] 0.369 0 0.018 0.335 0.357 0.369 0.381 0.403 4000 1.002
pf[600] 0.095 0 0.015 0.066 0.086 0.096 0.105 0.124 4000 1.008
pf[601] 0.734 0.001 0.062 0.615 0.692 0.732 0.773 0.859 4000 1
pf[602] 0.978 0.002 0.103 0.828 0.903 0.961 1.035 1.23 3133.209 1
pf[603] 0.104 0 0.015 0.073 0.094 0.104 0.115 0.133 4000 1.011
pf[604] 0.065 0 0.016 0.034 0.055 0.065 0.075 0.094 4000 1.011
pf[605] 0.115 0 0.017 0.082 0.103 0.115 0.126 0.147 4000 1.006
pf[606] 0.179 0 0.017 0.145 0.167 0.179 0.19 0.211 4000 1.006
pf[607] 0.162 0 0.015 0.132 0.152 0.162 0.172 0.19 4000 1.007
pf[608] 0.096 0.001 0.015 0.067 0.086 0.096 0.106 0.124 368.052 1.009
pf[609] 0.066 0 0.016 0.035 0.055 0.066 0.076 0.097 4000 1.009
pf[610] 0.078 0.001 0.014 0.048 0.068 0.078 0.088 0.106 305.45 1.011
pf[611] 0.272 0 0.018 0.238 0.26 0.272 0.284 0.306 4000 1.002
pf[612] 0.064 0 0.015 0.034 0.054 0.064 0.074 0.093 4000 1.01
pf[613] 0.142 0 0.017 0.107 0.13 0.142 0.154 0.174 4000 1.009
pf[614] 0.507 0 0.02 0.468 0.492 0.506 0.52 0.547 4000 1.001
pf[615] 0.253 0 0.019 0.216 0.241 0.254 0.266 0.289 4000 1.004
pf[616] 0.084 0 0.016 0.052 0.073 0.084 0.095 0.114 4000 1.008
pf[617] 0.071 0 0.016 0.041 0.06 0.071 0.082 0.102 4000 1.009
pf[618] 0.396 0 0.019 0.359 0.384 0.396 0.409 0.433 4000 1.001
pf[619] 0.209 0 0.016 0.178 0.199 0.209 0.219 0.239 4000 1.006
pf[620] 0.152 0 0.016 0.121 0.142 0.152 0.163 0.183 4000 1.005
pf[621] 0.307 0 0.025 0.258 0.29 0.308 0.324 0.352 4000 1.001
pf[622] 0.059 0 0.016 0.028 0.049 0.06 0.07 0.091 4000 1.012
pf[623] 0.26 0 0.017 0.227 0.249 0.26 0.271 0.294 4000 1.004
pf[624] 0.422 0 0.023 0.376 0.407 0.423 0.437 0.467 4000 1
pf[625] 0.113 0 0.017 0.078 0.101 0.113 0.124 0.145 4000 1.009
pf[626] 0.165 0 0.015 0.136 0.155 0.165 0.176 0.195 4000 1.004
pf[627] 0.057 0 0.015 0.026 0.046 0.057 0.067 0.085 4000 1.01
pf[628] 0.208 0 0.015 0.179 0.198 0.207 0.218 0.237 4000 1.006
pf[629] 0.085 0 0.015 0.053 0.075 0.085 0.095 0.115 4000 1.012
pf[630] 0.973 0.002 0.123 0.779 0.882 0.957 1.045 1.261 4000 1.001
pf[631] 0.054 0.001 0.016 0.023 0.043 0.054 0.065 0.084 347.353 1.011
pf[632] 0.054 0 0.016 0.024 0.044 0.055 0.065 0.085 4000 1.009
pf[633] 0.054 0 0.016 0.022 0.043 0.054 0.064 0.086 4000 1.01
pf[634] 0.24 0 0.015 0.21 0.23 0.24 0.25 0.269 4000 1.005
pf[635] 0.12 0 0.017 0.088 0.109 0.12 0.131 0.154 4000 1.006
pf[636] 0.234 0 0.02 0.195 0.221 0.234 0.248 0.271 4000 1.004
pf[637] 0.054 0 0.015 0.023 0.044 0.054 0.064 0.084 4000 1.011
pf[638] 0.052 0 0.016 0.019 0.041 0.052 0.063 0.083 4000 1.012
pf[639] 0.336 0 0.021 0.296 0.323 0.336 0.35 0.378 4000 1.002
pf[640] 0.697 0.001 0.054 0.594 0.66 0.696 0.733 0.807 4000 1
pf[641] 0.241 0 0.015 0.212 0.231 0.241 0.251 0.27 4000 1.006
pf[642] 0.82 0.001 0.057 0.731 0.782 0.815 0.85 0.946 4000 1.001
pf[643] 0.06 0.001 0.015 0.031 0.051 0.06 0.07 0.088 326.674 1.013
pf[644] 0.048 0 0.016 0.016 0.037 0.048 0.059 0.079 4000 1.009
pf[645] 0.066 0 0.016 0.035 0.056 0.066 0.076 0.097 4000 1.008
pf[646] 0.18 0 0.017 0.147 0.169 0.181 0.191 0.212 4000 1.007
pf[647] 0.154 0 0.015 0.124 0.144 0.154 0.164 0.185 4000 1.006
pf[648] 0.048 0 0.016 0.016 0.037 0.049 0.06 0.079 4000 1.008
pf[649] 0.334 0 0.022 0.29 0.319 0.334 0.349 0.376 4000 1
pf[650] 0.306 0 0.024 0.258 0.29 0.306 0.322 0.351 4000 1.001
pf[651] 0.654 0.001 0.041 0.577 0.625 0.652 0.68 0.739 4000 0.999
pf[652] 0.796 0.001 0.046 0.717 0.764 0.792 0.824 0.896 4000 0.999
pf[653] 0.466 0 0.02 0.426 0.453 0.466 0.48 0.507 4000 1.001
pf[654] 0.48 0 0.02 0.442 0.467 0.48 0.494 0.52 4000 1
pf[655] 0.044 0.001 0.016 0.013 0.034 0.044 0.055 0.075 353.695 1.01
pf[656] 0.045 0 0.016 0.012 0.033 0.045 0.056 0.076 4000 1.009
pf[657] 0.06 0.001 0.015 0.031 0.05 0.06 0.069 0.087 314.207 1.011
pf[658] 0.146 0 0.015 0.116 0.136 0.146 0.157 0.176 4000 1.008
pf[659] 0.07 0 0.016 0.038 0.059 0.07 0.081 0.102 4000 1.01
pf[660] 0.166 0 0.016 0.134 0.155 0.166 0.176 0.195 4000 1.01
pf[661] 0.149 0 0.018 0.112 0.136 0.149 0.161 0.184 4000 1.004
pf[662] 0.117 0 0.022 0.074 0.103 0.118 0.132 0.158 4000 1.004
pf[663] 0.185 0 0.016 0.152 0.174 0.186 0.196 0.216 4000 1.006
pf[664] 0.264 0 0.019 0.228 0.251 0.263 0.276 0.3 4000 1.002
pf[665] 0.306 0 0.022 0.264 0.292 0.307 0.321 0.348 4000 1.001
pf[666] 0.386 0 0.028 0.331 0.367 0.386 0.405 0.439 4000 1
pf[667] 0.129 0 0.017 0.097 0.118 0.129 0.14 0.161 4000 1.009
pf[668] 0.093 0 0.016 0.062 0.083 0.094 0.104 0.123 4000 1.011
pf[669] 0.311 0 0.022 0.265 0.296 0.311 0.326 0.353 4000 1.001
pf[670] 0.855 0.001 0.047 0.772 0.822 0.851 0.884 0.955 4000 0.999
pf[671] 0.04 0 0.017 0.005 0.029 0.041 0.051 0.072 4000 1.01
pf[672] 0.073 0 0.016 0.04 0.062 0.073 0.084 0.104 4000 1.01
pf[673] 0.041 0 0.016 0.008 0.03 0.041 0.052 0.072 4000 1.011
pf[674] 0.04 0 0.016 0.008 0.029 0.04 0.051 0.072 4000 1.011
pf[675] 0.388 0 0.019 0.35 0.375 0.388 0.401 0.424 4000 1.001
pf[676] 0.142 0 0.016 0.109 0.132 0.143 0.153 0.174 4000 1.009
pf[677] 0.175 0 0.018 0.14 0.163 0.175 0.187 0.21 4000 1.005
pf[678] 0.345 0 0.02 0.306 0.332 0.345 0.358 0.383 4000 1.001
pf[679] 0.31 0 0.022 0.266 0.295 0.31 0.324 0.353 4000 1.001
pf[680] 0.151 0 0.016 0.12 0.141 0.151 0.161 0.181 4000 1.009
pf[681] 0.04 0 0.016 0.009 0.03 0.041 0.051 0.07 4000 1.014
pf[682] 0.044 0.001 0.016 0.014 0.034 0.044 0.055 0.073 348.554 1.011
pf[683] 0.709 0.001 0.049 0.624 0.676 0.706 0.739 0.816 4000 1
pf[684] 0.327 0 0.018 0.293 0.315 0.327 0.339 0.361 4000 1.002
pf[685] 1.092 0.002 0.109 0.934 1.015 1.073 1.149 1.356 3276.415 1
pf[686] 0.397 0 0.027 0.345 0.379 0.397 0.415 0.447 4000 1
pf[687] 0.161 0 0.018 0.123 0.149 0.162 0.173 0.197 4000 1.005
pf[688] 0.035 0 0.016 0.002 0.024 0.035 0.047 0.067 4000 1.01
pf[689] 0.354 0 0.021 0.311 0.34 0.354 0.369 0.396 4000 1
pf[690] 0.094 0 0.018 0.059 0.082 0.095 0.107 0.128 4000 1.008
pf[691] 0.038 0.001 0.016 0.006 0.027 0.038 0.048 0.068 347.591 1.01
pf[692] 0.648 0.001 0.046 0.558 0.617 0.648 0.679 0.739 4000 0.999
pf[693] 0.031 0.001 0.017 -0.002 0.02 0.032 0.043 0.063 335.53 1.013
pf[694] 0.739 0.001 0.07 0.602 0.693 0.739 0.782 0.883 4000 0.999
pf[695] 0.315 0 0.024 0.267 0.3 0.316 0.332 0.36 4000 1.002
pf[696] 0.16 0 0.019 0.124 0.147 0.16 0.172 0.195 4000 1.006
pf[697] 0.159 0 0.018 0.124 0.147 0.159 0.171 0.193 4000 1.006
pf[698] 0.42 0 0.025 0.37 0.403 0.42 0.437 0.468 4000 1
pf[699] 0.352 0 0.019 0.314 0.339 0.352 0.364 0.388 4000 1.001
pf[700] 0.038 0.001 0.016 0.006 0.027 0.038 0.048 0.068 342.907 1.012
pf[701] 0.249 0 0.019 0.213 0.236 0.249 0.261 0.286 4000 1.002
pf[702] 0.083 0 0.016 0.051 0.073 0.083 0.094 0.114 4000 1.01
pf[703] 0.032 0 0.016 -0.001 0.021 0.032 0.043 0.064 4000 1.01
pf[704] 0.134 0 0.021 0.094 0.12 0.134 0.149 0.173 4000 1.005
pf[705] 0.188 0 0.022 0.146 0.174 0.189 0.204 0.23 4000 1.004
pf[706] 0.056 0 0.016 0.023 0.045 0.056 0.067 0.086 4000 1.01
pf[707] 0.171 0 0.015 0.142 0.161 0.171 0.182 0.201 4000 1.007
pf[708] 0.035 0.001 0.016 0.003 0.025 0.035 0.046 0.065 379.854 1.011
pf[709] 0.351 0 0.019 0.314 0.339 0.351 0.364 0.387 4000 1.001
pf[710] 0.305 0 0.017 0.272 0.294 0.306 0.317 0.34 4000 1.003
pf[711] 0.158 0 0.026 0.105 0.14 0.159 0.176 0.207 4000 1.002
pf[712] 0.026 0 0.017 -0.008 0.013 0.026 0.037 0.059 4000 1.009
pf[713] 0.026 0 0.017 -0.007 0.015 0.027 0.038 0.059 4000 1.011
pf[714] 0.029 0 0.017 -0.005 0.018 0.029 0.04 0.061 4000 1.013
pf[715] 0.027 0.001 0.016 -0.004 0.016 0.027 0.038 0.057 403.762 1.011
pf[716] 0.033 0.001 0.016 0.001 0.022 0.033 0.043 0.063 312.974 1.013
pf[717] 0.169 0 0.018 0.133 0.158 0.17 0.182 0.204 4000 1.005
pf[718] 0.033 0 0.016 0.001 0.022 0.034 0.044 0.064 4000 1.008
pf[719] 0.167 0 0.025 0.118 0.151 0.168 0.185 0.215 4000 1.001
pf[720] 0.026 0 0.017 -0.009 0.015 0.026 0.038 0.06 4000 1.01
pf[721] 0.263 0 0.018 0.229 0.251 0.263 0.275 0.299 4000 1.005
pf[722] 0.641 0.001 0.044 0.562 0.611 0.639 0.671 0.734 4000 0.999
pf[723] 0.41 0 0.019 0.374 0.398 0.41 0.423 0.446 4000 1.001
pf[724] 0.363 0.001 0.034 0.293 0.341 0.364 0.387 0.424 4000 1
pf[725] 0.099 0 0.017 0.067 0.088 0.099 0.111 0.132 4000 1.008
pf[726] 0.027 0 0.016 -0.007 0.016 0.027 0.038 0.058 4000 1.012
pf[727] 0.247 0 0.019 0.209 0.234 0.247 0.26 0.283 4000 1.003
pf[728] 0.044 0.001 0.014 0.015 0.035 0.044 0.053 0.071 283.5 1.013
pf[729] 0.27 0 0.018 0.234 0.258 0.27 0.283 0.307 4000 1.003
pf[730] 0.078 0 0.016 0.044 0.067 0.078 0.089 0.11 4000 1.011
pf[731] 0.807 0.001 0.033 0.744 0.783 0.805 0.829 0.876 4000 0.999
pf[732] 1.031 0.002 0.105 0.878 0.958 1.012 1.084 1.285 2832.434 1
pf[733] 0.02 0 0.017 -0.014 0.009 0.02 0.032 0.054 4000 1.01
pf[734] 0.036 0.001 0.015 0.007 0.026 0.036 0.046 0.066 337.516 1.015
pf[735] 0.019 0 0.017 -0.014 0.007 0.02 0.031 0.052 4000 1.01
pf[736] 0.11 0 0.018 0.074 0.098 0.11 0.122 0.144 4000 1.01
pf[737] 0.078 0 0.019 0.039 0.065 0.078 0.091 0.113 4000 1.008
pf[738] 0.023 0 0.017 -0.01 0.012 0.024 0.035 0.056 4000 1.01
pf[739] 0.023 0 0.017 -0.01 0.011 0.023 0.034 0.055 4000 1.008
pf[740] 0.026 0 0.017 -0.007 0.016 0.027 0.038 0.058 4000 1.009
pf[741] 0.055 0 0.017 0.021 0.044 0.055 0.067 0.09 4000 1.008
pf[742] 0.021 0 0.017 -0.011 0.01 0.021 0.033 0.054 4000 1.007
pf[743] 0.109 0 0.018 0.073 0.097 0.109 0.121 0.143 4000 1.007
pf[744] 0.02 0.001 0.017 -0.013 0.009 0.02 0.031 0.052 339.694 1.012
pf[745] 0.021 0 0.017 -0.014 0.009 0.021 0.032 0.054 4000 1.012
pf[746] 0.128 0 0.017 0.095 0.117 0.128 0.14 0.161 4000 1.007
pf[747] 0.713 0.001 0.058 0.606 0.675 0.713 0.75 0.83 4000 0.999
pf[748] 0.444 0 0.023 0.4 0.428 0.444 0.46 0.489 4000 1
pf[749] 0.157 0 0.016 0.124 0.146 0.158 0.168 0.189 4000 1.007
pf[750] 0.365 0 0.018 0.329 0.353 0.365 0.377 0.399 4000 1.001
pf[751] 0.19 0 0.017 0.156 0.179 0.19 0.202 0.223 4000 1.004
pf[752] 0.148 0 0.019 0.109 0.135 0.148 0.161 0.184 4000 1.002
pf[753] 0.306 0 0.025 0.256 0.29 0.307 0.324 0.353 4000 1.002
pf[754] 0.067 0 0.017 0.032 0.055 0.067 0.079 0.099 4000 1.007
pf[755] 0.785 0.001 0.044 0.71 0.755 0.782 0.813 0.88 4000 0.999
pf[756] 0.695 0.001 0.041 0.616 0.667 0.694 0.721 0.781 4000 1
pf[757] 0.415 0 0.017 0.382 0.404 0.415 0.426 0.448 4000 1.002
pf[758] 0.043 0 0.016 0.01 0.032 0.043 0.054 0.074 4000 1.01
pf[759] 0.051 0 0.018 0.015 0.04 0.052 0.063 0.085 4000 1.007
pf[760] 0.296 0 0.025 0.244 0.279 0.296 0.313 0.344 4000 1.001
pf[761] 0.02 0.001 0.016 -0.012 0.009 0.02 0.031 0.05 327.181 1.012
pf[762] 0.288 0 0.025 0.239 0.271 0.289 0.305 0.334 4000 1
pf[763] 0.023 0 0.016 -0.008 0.012 0.023 0.034 0.054 4000 1.01
pf[764] 0.354 0 0.02 0.314 0.341 0.354 0.367 0.392 4000 1.001
pf[765] 0.208 0 0.016 0.176 0.197 0.208 0.219 0.239 4000 1.007
pf[766] 0.174 0 0.018 0.139 0.162 0.175 0.187 0.208 4000 1.006
pf[767] 0.507 0 0.021 0.467 0.493 0.506 0.52 0.549 4000 1
pf[768] 0.21 0 0.022 0.166 0.196 0.211 0.225 0.252 4000 1.002
pf[769] 0.156 0 0.019 0.117 0.143 0.156 0.169 0.192 4000 1.004
pf[770] 0.067 0 0.016 0.034 0.056 0.067 0.078 0.099 4000 1.014
pf[771] 0.321 0 0.026 0.268 0.304 0.321 0.338 0.371 4000 1
pf[772] 0.111 0 0.018 0.077 0.1 0.111 0.123 0.146 4000 1.009
pf[773] 0.013 0 0.018 -0.022 0.001 0.014 0.025 0.047 4000 1.01
pf[774] 0.011 0 0.018 -0.026 -0.001 0.011 0.023 0.045 4000 1.009
pf[775] 0.074 0 0.017 0.042 0.063 0.075 0.086 0.106 4000 1.01
pf[776] 0.169 0 0.018 0.132 0.157 0.169 0.181 0.202 4000 1.003
pf[777] 0.41 0 0.026 0.359 0.393 0.411 0.428 0.46 4000 1
pf[778] 0.018 0 0.017 -0.015 0.007 0.018 0.03 0.053 4000 1.01
pf[779] 0.011 0 0.018 -0.025 -0.001 0.011 0.023 0.044 4000 1.011
pf[780] 0.128 0 0.017 0.094 0.116 0.128 0.14 0.161 4000 1.008
pf[781] 0.2 0 0.016 0.168 0.189 0.2 0.211 0.231 4000 1.005
pf[782] 0.249 0 0.02 0.211 0.236 0.25 0.263 0.287 4000 1.004
pf[783] 0.011 0.001 0.017 -0.022 0 0.011 0.023 0.044 380.856 1.012
pf[784] 0.018 0 0.016 -0.015 0.006 0.017 0.029 0.05 4000 1.011
pf[785] 0.013 0.001 0.016 -0.02 0.002 0.013 0.024 0.045 344.061 1.012
pf[786] 1.012 0.002 0.099 0.866 0.946 0.996 1.059 1.266 2810.394 1.001
pf[787] 0.303 0 0.024 0.256 0.286 0.303 0.319 0.35 4000 1.001
pf[788] 0.86 0.001 0.046 0.775 0.828 0.857 0.89 0.957 4000 0.999
pf[789] 0.482 0 0.021 0.442 0.468 0.481 0.496 0.525 4000 1.001
pf[790] 0.883 0.002 0.085 0.759 0.827 0.869 0.923 1.084 2788.69 0.999
pf[791] 0.806 0.001 0.054 0.712 0.767 0.801 0.84 0.926 4000 0.999
pf[792] 0.92 0.001 0.078 0.805 0.869 0.908 0.958 1.102 2917.589 1
pf[793] 0.26 0 0.02 0.22 0.246 0.26 0.273 0.299 4000 1.003
pf[794] 0.013 0 0.018 -0.024 0 0.013 0.025 0.049 4000 1.011
pf[795] 0.063 0 0.017 0.03 0.052 0.064 0.075 0.096 4000 1.008
pf[796] 0.049 0 0.018 0.015 0.037 0.049 0.061 0.082 4000 1.01
pf[797] 0.34 0 0.023 0.295 0.324 0.34 0.356 0.385 4000 1
pf[798] 0.047 0 0.018 0.013 0.036 0.047 0.059 0.082 4000 1.007
pf[799] 0.024 0.001 0.016 -0.008 0.013 0.024 0.034 0.054 325.978 1.013
pf[800] 0.044 0 0.017 0.01 0.033 0.044 0.056 0.079 4000 1.009
pf[801] 0.117 0 0.018 0.082 0.105 0.117 0.129 0.151 4000 1.006
pf[802] 0.444 0 0.025 0.397 0.427 0.444 0.461 0.491 4000 1.001
pf[803] 0.01 0 0.017 -0.023 -0.001 0.011 0.022 0.042 4000 1.014
pf[804] 0.371 0 0.021 0.33 0.357 0.371 0.385 0.412 4000 1.001
pf[805] 0.42 0 0.019 0.382 0.407 0.42 0.433 0.458 4000 1
pf[806] 0.265 0 0.019 0.228 0.252 0.265 0.278 0.302 4000 1.001
pf[807] 0 0 0.018 -0.035 -0.011 0.001 0.013 0.035 4000 1.007
pf[808] 0.163 0 0.018 0.125 0.15 0.163 0.175 0.197 4000 1.002
pf[809] 0.116 0 0.018 0.079 0.104 0.117 0.129 0.151 4000 1.006
pf[810] 0.072 0 0.017 0.04 0.061 0.072 0.083 0.104 4000 1.008
pf[811] 0.332 0 0.024 0.286 0.315 0.332 0.348 0.38 4000 1.001
pf[812] 0.047 0 0.018 0.013 0.036 0.048 0.059 0.08 4000 1.009
pf[813] 0.053 0 0.017 0.02 0.042 0.053 0.065 0.087 4000 1.008
pf[814] 0.308 0 0.023 0.261 0.292 0.308 0.324 0.353 4000 1
pf[815] 0.153 0 0.02 0.112 0.139 0.153 0.166 0.191 4000 1.003
pf[816] 0.123 0 0.017 0.088 0.112 0.123 0.135 0.156 4000 1.007
pf[817] 0.026 0 0.017 -0.009 0.015 0.027 0.038 0.06 4000 1.009
pf[818] 0.012 0 0.016 -0.021 0.002 0.013 0.023 0.043 4000 1.009
pf[819] 0.009 0.001 0.016 -0.023 -0.001 0.009 0.02 0.041 334.754 1.012
pf[820] 0.063 0 0.017 0.029 0.052 0.063 0.075 0.096 4000 1.009
pf[821] 0.175 0 0.018 0.138 0.163 0.175 0.187 0.209 4000 1.006
pf[822] 0.487 0 0.02 0.448 0.473 0.487 0.5 0.528 4000 1
pf[823] 0.04 0 0.018 0.004 0.028 0.04 0.052 0.074 4000 1.009
pf[824] 0 0 0.017 -0.033 -0.011 0 0.011 0.032 4000 1.009
pf[825] -0.001 0 0.017 -0.035 -0.012 -0.001 0.011 0.032 4000 1.013
pf[826] 0.427 0 0.024 0.381 0.411 0.427 0.444 0.473 4000 0.999
pf[827] 0.127 0 0.018 0.092 0.115 0.127 0.139 0.16 4000 1.008
pf[828] -0.001 0 0.017 -0.035 -0.013 -0.001 0.011 0.032 4000 1.013
pf[829] 0.205 0 0.016 0.172 0.194 0.205 0.216 0.237 4000 1.005
pf[830] 0.135 0 0.017 0.101 0.124 0.136 0.147 0.168 4000 1.006
pf[831] 0.163 0 0.019 0.126 0.15 0.163 0.175 0.199 4000 1.005
pf[832] -0.002 0 0.018 -0.038 -0.014 -0.002 0.01 0.032 4000 1.01
pf[833] 0.069 0 0.021 0.028 0.055 0.068 0.082 0.109 4000 1.008
pf[834] 0.27 0 0.028 0.212 0.251 0.27 0.288 0.321 4000 1.002
pf[835] -0.005 0 0.019 -0.042 -0.017 -0.005 0.007 0.031 4000 1.009
pf[836] -0.003 0.001 0.017 -0.037 -0.015 -0.003 0.008 0.03 349.363 1.011
pf[837] 0.002 0.001 0.017 -0.031 -0.009 0.003 0.013 0.034 339.381 1.01
pf[838] -0.003 0 0.017 -0.037 -0.014 -0.003 0.009 0.031 4000 1.01
pf[839] 0.368 0.001 0.033 0.302 0.346 0.369 0.391 0.429 4000 1
pf[840] 0.459 0 0.021 0.418 0.445 0.459 0.473 0.501 4000 1
pf[841] 0.052 0 0.017 0.018 0.041 0.052 0.064 0.085 4000 1.01
pf[842] 0.14 0 0.02 0.1 0.127 0.14 0.154 0.179 4000 1.003
pf[843] 0.193 0 0.017 0.159 0.182 0.194 0.205 0.226 4000 1.005
pf[844] 0.288 0 0.018 0.252 0.275 0.288 0.3 0.323 4000 1.002
pf[845] 0.638 0.001 0.055 0.53 0.602 0.638 0.675 0.747 4000 0.999
pf[846] -0.005 0 0.017 -0.04 -0.016 -0.005 0.007 0.028 4000 1.01
pf[847] -0.003 0 0.017 -0.036 -0.015 -0.003 0.009 0.03 4000 1.007
pf[848] -0.01 0 0.018 -0.046 -0.022 -0.01 0.003 0.024 4000 1.007
pf[849] 0.028 0 0.018 -0.006 0.017 0.028 0.04 0.062 4000 1.01
pf[850] 0.008 0.001 0.016 -0.024 -0.003 0.008 0.019 0.04 323.658 1.01
pf[851] 0.046 0.001 0.015 0.018 0.036 0.046 0.056 0.074 301.39 1.013
pf[852] 0.387 0 0.02 0.347 0.373 0.387 0.4 0.426 4000 1
pf[853] 0.474 0 0.023 0.429 0.459 0.474 0.489 0.52 4000 1
pf[854] 0.055 0 0.017 0.022 0.043 0.055 0.067 0.089 4000 1.007
pf[855] 0.044 0 0.017 0.01 0.032 0.044 0.055 0.077 4000 1.008
pf[856] 0.17 0 0.018 0.133 0.158 0.17 0.183 0.205 4000 1.007
pf[857] 0.327 0 0.021 0.285 0.313 0.328 0.341 0.369 4000 1.001
pf[858] 0.002 0.001 0.017 -0.031 -0.009 0.003 0.013 0.034 406.136 1.011
pf[859] -0.003 0 0.018 -0.038 -0.015 -0.003 0.009 0.032 4000 1.01
pf[860] 0.122 0 0.018 0.086 0.11 0.122 0.134 0.156 4000 1.004
pf[861] 0.062 0 0.017 0.027 0.05 0.062 0.074 0.095 4000 1.01
pf[862] -0.009 0 0.018 -0.045 -0.021 -0.009 0.004 0.026 4000 1.01
pf[863] 0.158 0 0.019 0.118 0.145 0.158 0.171 0.194 4000 1.003
pf[864] -0.008 0 0.018 -0.045 -0.02 -0.008 0.004 0.025 4000 1.008
pf[865] 0.326 0 0.023 0.28 0.311 0.326 0.341 0.371 4000 1.001
pf[866] 0.007 0.001 0.016 -0.025 -0.004 0.007 0.018 0.037 297.253 1.011
pf[867] 0.133 0 0.017 0.098 0.122 0.134 0.145 0.166 4000 1.007
pf[868] -0.016 0 0.019 -0.053 -0.028 -0.015 -0.003 0.02 4000 1.008
pf[869] -0.011 0 0.018 -0.048 -0.023 -0.011 0.001 0.024 4000 1.011
pf[870] -0.012 0 0.018 -0.049 -0.024 -0.012 0 0.023 4000 1.01
pf[871] -0.015 0 0.019 -0.052 -0.028 -0.015 -0.002 0.02 4000 1.008
pf[872] 0.055 0 0.018 0.021 0.043 0.055 0.067 0.089 4000 1.01
pf[873] 0.166 0 0.019 0.129 0.153 0.166 0.179 0.204 4000 1.005
pf[874] -0.01 0.001 0.017 -0.045 -0.021 -0.009 0.002 0.022 374.818 1.012
pf[875] 0.115 0 0.018 0.079 0.103 0.116 0.128 0.148 4000 1.005
pf[876] 0.101 0 0.02 0.062 0.088 0.102 0.115 0.139 4000 1.006
pf[877] 0.324 0 0.022 0.279 0.309 0.324 0.338 0.367 4000 1.001
pf[878] 0.015 0 0.019 -0.024 0.002 0.015 0.027 0.05 4000 1.009
pf[879] 0.029 0 0.019 -0.008 0.016 0.029 0.042 0.066 4000 1.009
pf[880] -0.004 0.001 0.017 -0.038 -0.016 -0.004 0.007 0.029 350.227 1.011
pf[881] 0.039 0 0.018 0.003 0.027 0.04 0.051 0.075 4000 1.008
pf[882] 0.348 0 0.021 0.307 0.334 0.348 0.361 0.388 4000 1.002
pf[883] 0.231 0 0.02 0.194 0.218 0.231 0.244 0.27 4000 1.002
pf[884] 0.827 0.001 0.083 0.7 0.773 0.816 0.867 1.029 4000 0.999
pf[885] 0.046 0 0.018 0.01 0.034 0.046 0.059 0.08 4000 1.007
pf[886] 0.096 0 0.019 0.056 0.083 0.096 0.109 0.131 4000 1.007
pf[887] 0.091 0 0.019 0.053 0.078 0.091 0.104 0.129 4000 1.006
pf[888] 0.193 0 0.017 0.159 0.181 0.193 0.204 0.226 4000 1.005
pf[889] -0.016 0 0.019 -0.054 -0.029 -0.016 -0.003 0.021 4000 1.009
pf[890] 0.368 0.001 0.032 0.302 0.346 0.369 0.39 0.43 4000 1
pf[891] 1.014 0.002 0.107 0.853 0.943 0.997 1.065 1.289 4000 1
pf[892] 0.181 0 0.016 0.15 0.17 0.18 0.191 0.211 4000 1.006
pf[893] 0.184 0 0.017 0.149 0.172 0.184 0.195 0.217 4000 1.003
pf[894] 0.448 0 0.024 0.402 0.432 0.448 0.465 0.496 4000 1
pf[895] 0.679 0.001 0.052 0.579 0.643 0.678 0.713 0.782 4000 0.999
pf[896] 0.235 0 0.02 0.196 0.222 0.235 0.249 0.273 4000 1.003
pf[897] 0.698 0.001 0.044 0.614 0.668 0.697 0.727 0.789 4000 1
pf[898] 0.268 0 0.019 0.231 0.255 0.267 0.28 0.305 4000 1.003
pf[899] 0.716 0.001 0.042 0.64 0.687 0.714 0.743 0.803 4000 1
pf[900] 1.138 0.002 0.11 0.976 1.061 1.119 1.193 1.406 4000 1.001
pf[901] -0.021 0.001 0.017 -0.056 -0.033 -0.021 -0.009 0.012 342.484 1.01
pf[902] -0.015 0 0.018 -0.051 -0.028 -0.016 -0.003 0.021 4000 1.008
pf[903] 0.049 0 0.018 0.014 0.037 0.049 0.061 0.082 4000 1.007
pf[904] 0.137 0 0.017 0.102 0.125 0.137 0.149 0.17 4000 1.008
pf[905] -0.019 0 0.018 -0.055 -0.031 -0.019 -0.007 0.015 4000 1.01
pf[906] 0.353 0 0.02 0.314 0.339 0.353 0.366 0.391 4000 1
pf[907] 0.173 0 0.018 0.137 0.161 0.173 0.185 0.208 4000 1.003
pf[908] 0.028 0 0.019 -0.01 0.015 0.028 0.041 0.063 4000 1.006
pf[909] 0.153 0 0.021 0.112 0.14 0.154 0.167 0.193 4000 1.003
pf[910] 0.119 0 0.018 0.082 0.107 0.12 0.132 0.154 4000 1.005
pf[911] -0.017 0 0.018 -0.051 -0.028 -0.017 -0.005 0.018 4000 1.01
pf[912] -0.01 0 0.017 -0.044 -0.021 -0.01 0.002 0.024 4000 1.01
pf[913] -0.014 0 0.018 -0.05 -0.026 -0.014 -0.002 0.02 4000 1.01
pf[914] 0.084 0 0.021 0.041 0.07 0.084 0.097 0.123 4000 1.007
pf[915] 0.103 0 0.016 0.072 0.092 0.103 0.114 0.135 4000 1.01
pf[916] -0.019 0 0.018 -0.055 -0.031 -0.019 -0.007 0.016 4000 1.009
pf[917] -0.003 0 0.019 -0.042 -0.016 -0.003 0.011 0.034 4000 1.007
pf[918] -0.006 0.001 0.017 -0.039 -0.017 -0.005 0.006 0.026 356.006 1.008
pf[919] 0.155 0 0.02 0.115 0.141 0.155 0.168 0.195 4000 1.002
pf[920] 0.304 0 0.024 0.255 0.288 0.305 0.32 0.349 4000 1
pf[921] -0.022 0 0.018 -0.058 -0.034 -0.022 -0.01 0.014 4000 1.009
pf[922] -0.017 0.001 0.017 -0.05 -0.028 -0.017 -0.006 0.015 316.918 1.013
pf[923] 0.179 0 0.018 0.144 0.168 0.18 0.191 0.213 4000 1.006
pf[924] 0.133 0 0.017 0.098 0.122 0.133 0.145 0.167 4000 1.006
pf[925] 1.134 0.002 0.104 0.978 1.059 1.118 1.19 1.384 4000 0.999
pf[926] -0.019 0.001 0.018 -0.055 -0.031 -0.019 -0.007 0.015 347.905 1.011
pf[927] 0.3 0 0.026 0.248 0.283 0.301 0.318 0.35 4000 1.001
pf[928] -0.012 0.001 0.017 -0.045 -0.024 -0.012 0 0.019 314.623 1.016
pf[929] 0.221 0 0.021 0.179 0.207 0.222 0.236 0.262 4000 1.003
pf[930] 0.175 0 0.018 0.139 0.163 0.176 0.187 0.21 4000 1.004
pf[931] -0.027 0 0.019 -0.065 -0.039 -0.026 -0.014 0.01 4000 1.01
pf[932] -0.028 0 0.02 -0.067 -0.041 -0.027 -0.015 0.01 4000 1.008
pf[933] -0.025 0 0.019 -0.062 -0.037 -0.025 -0.012 0.012 4000 1.009
pf[934] 0.885 0.002 0.09 0.76 0.827 0.87 0.923 1.109 2056.476 1.001
pf[935] 0.244 0 0.021 0.202 0.23 0.244 0.258 0.283 4000 1.002
pf[936] 0.165 0 0.019 0.126 0.152 0.165 0.178 0.201 4000 1.003
pf[937] -0.018 0 0.018 -0.053 -0.03 -0.018 -0.006 0.016 4000 1.01
pf[938] 0.177 0 0.018 0.142 0.165 0.177 0.189 0.213 4000 1.006
pf[939] 0.277 0 0.029 0.218 0.259 0.278 0.297 0.33 4000 1
pf[940] 0.086 0 0.021 0.043 0.072 0.086 0.1 0.125 4000 1.005
pf[941] 0.158 0 0.02 0.119 0.145 0.158 0.171 0.195 4000 1.005
pf[942] 0.024 0 0.019 -0.014 0.012 0.024 0.037 0.06 4000 1.006
pf[943] 0.046 0 0.018 0.012 0.034 0.046 0.058 0.08 4000 1.008
pf[944] 0.378 0.001 0.034 0.309 0.356 0.379 0.401 0.441 4000 1
pf[945] 0.034 0 0.019 -0.003 0.022 0.034 0.047 0.07 4000 1.007
pf[946] 0.112 0 0.018 0.076 0.099 0.112 0.125 0.148 4000 1.006
pf[947] 0.161 0 0.02 0.121 0.148 0.162 0.174 0.199 4000 1.004
pf[948] 0.07 0 0.022 0.026 0.055 0.07 0.085 0.112 4000 1.003
pf[949] -0.025 0 0.018 -0.062 -0.037 -0.025 -0.012 0.011 4000 1.011
pf[950] 0.335 0 0.023 0.289 0.32 0.335 0.35 0.377 4000 1.002
pf[951] 0.16 0 0.02 0.121 0.148 0.161 0.174 0.198 4000 1.005
pf[952] -0.027 0 0.018 -0.064 -0.039 -0.027 -0.015 0.008 4000 1.012
pf[953] 0.037 0 0.019 0.001 0.024 0.037 0.05 0.073 4000 1.007
pf[954] 0.046 0 0.018 0.011 0.034 0.046 0.058 0.08 4000 1.006
pf[955] -0.018 0 0.018 -0.054 -0.03 -0.018 -0.007 0.016 4000 1.009
pf[956] -0.024 0 0.018 -0.06 -0.036 -0.024 -0.012 0.012 4000 1.008
pf[957] -0.02 0.001 0.017 -0.055 -0.032 -0.02 -0.009 0.012 353.557 1.012
pf[958] 0.065 0 0.017 0.031 0.054 0.065 0.077 0.099 4000 1.008
pf[959] 0.211 0 0.022 0.167 0.196 0.211 0.225 0.254 4000 1.004
pf[960] 0.111 0 0.017 0.077 0.099 0.111 0.122 0.145 4000 1.008
pf[961] 0.375 0 0.031 0.311 0.354 0.376 0.396 0.435 4000 1.001
pf[962] 1.159 0.002 0.111 0.981 1.083 1.143 1.22 1.429 4000 1.001
pf[963] -0.023 0 0.018 -0.058 -0.035 -0.022 -0.011 0.012 4000 1.009
pf[964] 0.675 0.001 0.05 0.58 0.641 0.674 0.709 0.776 4000 0.999
pf[965] 0.318 0 0.026 0.268 0.301 0.318 0.336 0.368 4000 1
pf[966] 0.858 0.002 0.079 0.743 0.807 0.845 0.895 1.05 2083.704 1.001
pf[967] 0.74 0.001 0.06 0.634 0.698 0.736 0.777 0.871 4000 1
pf[968] 0.1 0 0.019 0.063 0.087 0.1 0.113 0.138 4000 1.006
pf[969] -0.033 0 0.019 -0.071 -0.045 -0.032 -0.02 0.003 4000 1.009
pf[970] 0.169 0 0.017 0.135 0.158 0.169 0.18 0.201 4000 1.005
pf[971] 0.149 0 0.02 0.11 0.136 0.15 0.163 0.188 4000 1.002
pf[972] 0.368 0 0.024 0.321 0.352 0.367 0.384 0.414 4000 1.001
pf[973] -0.027 0.001 0.018 -0.064 -0.039 -0.027 -0.015 0.007 380.955 1.01
pf[974] -0.03 0.001 0.018 -0.065 -0.042 -0.03 -0.018 0.005 370.654 1.011
pf[975] 0.699 0.001 0.048 0.606 0.666 0.697 0.731 0.797 4000 0.999
pf[976] 0.19 0 0.023 0.144 0.174 0.19 0.206 0.235 4000 1.003
pf[977] 0.203 0 0.023 0.158 0.188 0.203 0.219 0.247 4000 1.001
pf[978] 0.073 0 0.022 0.029 0.058 0.073 0.088 0.115 4000 1.005
pf[979] 0.102 0 0.019 0.064 0.09 0.103 0.115 0.139 4000 1.004
pf[980] 0.08 0 0.021 0.038 0.066 0.081 0.094 0.12 4000 1.006
pf[981] -0.026 0 0.018 -0.062 -0.038 -0.025 -0.013 0.008 4000 1.01
pf[982] -0.026 0 0.018 -0.06 -0.038 -0.026 -0.014 0.009 4000 1.01
pf[983] -0.031 0 0.019 -0.068 -0.044 -0.031 -0.018 0.004 4000 1.01
pf[984] -0.017 0.001 0.017 -0.051 -0.029 -0.017 -0.005 0.015 360.705 1.009
pf[985] -0.03 0 0.019 -0.068 -0.042 -0.029 -0.017 0.006 4000 1.011
pf[986] -0.017 0.001 0.017 -0.05 -0.028 -0.016 -0.005 0.016 321.536 1.01
pf[987] 0.147 0 0.017 0.113 0.135 0.147 0.159 0.18 4000 1.004
pf[988] 0.163 0 0.02 0.125 0.15 0.163 0.176 0.201 4000 1.004
pf[989] -0.015 0.001 0.017 -0.048 -0.026 -0.015 -0.004 0.018 324.306 1.01
pf[990] 0.351 0 0.02 0.312 0.338 0.352 0.365 0.391 4000 1.001
pf[991] 0.033 0 0.019 -0.004 0.02 0.034 0.047 0.07 4000 1.009
pf[992] 0.383 0 0.022 0.341 0.369 0.384 0.397 0.426 4000 1.001
pf[993] 0.107 0 0.019 0.067 0.094 0.107 0.12 0.143 4000 1.005
pf[994] 0.147 0 0.021 0.105 0.133 0.147 0.161 0.186 4000 1.003
pf[995] -0.017 0.001 0.016 -0.049 -0.028 -0.017 -0.006 0.013 341.504 1.012
pf[996] 1.165 0.002 0.105 1.015 1.094 1.144 1.215 1.427 2944.008 1
pf[997] 0.425 0 0.019 0.388 0.412 0.425 0.437 0.464 4000 1.002
pf[998] 0.283 0 0.019 0.246 0.27 0.283 0.296 0.321 4000 1.003
pf[999] 0.978 0.002 0.1 0.835 0.908 0.961 1.024 1.223 2959.546 1
pf[1000] -0.039 0 0.019 -0.078 -0.051 -0.039 -0.026 -0.003 4000 1.008
mu_pf 0.365 0 0.011 0.344 0.358 0.365 0.372 0.386 4000 1.004
s_pf 0.306 0 0.008 0.291 0.301 0.306 0.312 0.322 534.024 1.009
d_true[1] 0.016 0.001 0.011 -0.006 0.008 0.016 0.023 0.037 157.558 1.023
d_true[2] 0.024 0.001 0.011 0.002 0.016 0.024 0.031 0.044 162.901 1.024
d_true[3] 0.192 0.001 0.009 0.174 0.186 0.192 0.198 0.209 181.092 1.02
d_true[4] 0.26 0.001 0.009 0.242 0.254 0.26 0.266 0.277 214.559 1.017
d_true[5] 0.593 0 0.02 0.555 0.58 0.593 0.607 0.633 4000 1
d_true[6] -0.107 0.001 0.016 -0.139 -0.118 -0.107 -0.096 -0.077 266.998 1.013
d_true[7] -0.062 0.001 0.013 -0.086 -0.071 -0.062 -0.053 -0.037 173.604 1.026
d_true[8] 0.222 0.001 0.009 0.204 0.216 0.223 0.228 0.239 193.455 1.023
d_true[9] 0.266 0.001 0.009 0.248 0.26 0.266 0.272 0.283 243.474 1.013
d_true[10] 0.523 0 0.014 0.495 0.514 0.524 0.533 0.551 4000 1.001
d_true[11] 0.511 0 0.013 0.486 0.502 0.511 0.52 0.537 4000 1
d_true[12] 0.159 0.001 0.009 0.14 0.153 0.159 0.165 0.176 174.79 1.022
d_true[13] -0.006 0.001 0.011 -0.029 -0.014 -0.006 0.001 0.015 151.367 1.025
d_true[14] 0.258 0.001 0.009 0.241 0.252 0.258 0.265 0.275 227.189 1.016
d_true[15] 0.67 0 0.022 0.626 0.655 0.671 0.686 0.712 4000 1
d_true[16] 0.287 0.001 0.009 0.269 0.281 0.287 0.293 0.304 258.954 1.012
d_true[17] -0.029 0.001 0.012 -0.052 -0.037 -0.029 -0.02 -0.006 168.625 1.028
d_true[18] 0.006 0.001 0.011 -0.015 -0.001 0.006 0.014 0.027 138.159 1.031
d_true[19] 0.563 0 0.018 0.529 0.551 0.562 0.574 0.6 4000 1
d_true[20] 0.161 0.001 0.009 0.143 0.155 0.161 0.167 0.179 160.622 1.022
d_true[21] 0.39 0 0.011 0.369 0.383 0.39 0.397 0.411 4000 1.007
d_true[22] 0.87 0 0.027 0.819 0.852 0.87 0.888 0.924 4000 1
d_true[23] -0.167 0 0.027 -0.227 -0.181 -0.164 -0.149 -0.12 4000 1.004
d_true[24] 0.1 0.001 0.009 0.08 0.093 0.1 0.106 0.118 139.189 1.029
d_true[25] 0.205 0.001 0.009 0.187 0.199 0.205 0.21 0.222 173.717 1.02
d_true[26] 0.261 0.001 0.009 0.243 0.255 0.261 0.267 0.278 221.212 1.014
d_true[27] 0.854 0 0.025 0.806 0.837 0.854 0.87 0.904 4000 1
d_true[28] 0.669 0 0.02 0.627 0.655 0.669 0.683 0.707 4000 1
d_true[29] -0.105 0.001 0.016 -0.137 -0.115 -0.104 -0.094 -0.075 232.476 1.016
d_true[30] 0.074 0.001 0.01 0.055 0.068 0.074 0.081 0.094 148.728 1.027
d_true[31] 0.205 0.001 0.009 0.188 0.199 0.205 0.211 0.221 176.494 1.017
d_true[32] 0.221 0.001 0.009 0.204 0.215 0.221 0.227 0.238 187.153 1.023
d_true[33] 0.379 0 0.01 0.359 0.372 0.379 0.386 0.399 4000 1.003
d_true[34] 0.707 0 0.02 0.666 0.693 0.707 0.721 0.746 4000 1
d_true[35] -0.125 0.001 0.019 -0.164 -0.137 -0.124 -0.112 -0.091 338.769 1.013
d_true[36] -0.056 0.001 0.013 -0.082 -0.065 -0.056 -0.046 -0.031 185.677 1.021
d_true[37] 0.35 0 0.01 0.331 0.343 0.35 0.356 0.369 4000 1.005
d_true[38] 0.293 0.001 0.009 0.274 0.287 0.293 0.299 0.312 281.588 1.01
d_true[39] 0.272 0.001 0.009 0.254 0.265 0.272 0.278 0.289 240.768 1.015
d_true[40] 0.894 0 0.028 0.839 0.874 0.894 0.914 0.948 4000 1
d_true[41] -0.018 0.001 0.011 -0.041 -0.026 -0.018 -0.011 0.003 161.202 1.022
d_true[42] 0.079 0.001 0.01 0.06 0.073 0.079 0.086 0.098 138.216 1.03
d_true[43] 0.125 0.001 0.009 0.108 0.119 0.126 0.132 0.143 151.856 1.028
d_true[44] 0.384 0 0.01 0.364 0.378 0.385 0.391 0.404 4000 1.005
d_true[45] 0.47 0 0.012 0.447 0.462 0.47 0.477 0.493 4000 1.002
d_true[46] 0.921 0 0.028 0.868 0.902 0.92 0.939 0.974 4000 1.001
d_true[47] 0.702 0 0.018 0.665 0.69 0.702 0.714 0.737 4000 1
d_true[48] -0.048 0.001 0.013 -0.074 -0.057 -0.048 -0.04 -0.024 198.4 1.022
d_true[49] -0.024 0.001 0.012 -0.046 -0.031 -0.024 -0.015 -0.002 173.766 1.024
d_true[50] 0.208 0.001 0.009 0.191 0.203 0.209 0.214 0.225 191.686 1.017
d_true[51] 0.276 0.001 0.009 0.258 0.27 0.276 0.282 0.293 270.472 1.014
d_true[52] 0.377 0 0.01 0.357 0.37 0.377 0.384 0.396 4000 1.006
d_true[53] 0.832 0 0.022 0.789 0.818 0.832 0.847 0.876 4000 0.999
d_true[54] 0.644 0 0.02 0.603 0.631 0.644 0.658 0.682 4000 1
d_true[55] -0.08 0.001 0.014 -0.108 -0.089 -0.079 -0.07 -0.053 199.219 1.02
d_true[56] 0.024 0.001 0.01 0.003 0.017 0.024 0.031 0.044 148.432 1.027
d_true[57] 0.246 0.001 0.009 0.228 0.24 0.246 0.252 0.262 207.414 1.015
d_true[58] 0.355 0 0.01 0.337 0.349 0.355 0.362 0.374 4000 1.007
d_true[59] 0.415 0 0.011 0.395 0.408 0.415 0.423 0.437 4000 1.004
d_true[60] 0.872 0 0.026 0.821 0.855 0.873 0.89 0.923 4000 0.999
d_true[61] 0.786 0 0.02 0.745 0.772 0.786 0.799 0.825 4000 1.001
d_true[62] 0.044 0.001 0.01 0.023 0.037 0.044 0.051 0.064 134.824 1.032
d_true[63] 0.079 0.001 0.01 0.059 0.073 0.079 0.086 0.098 149.572 1.025
d_true[64] 0.201 0.001 0.009 0.183 0.195 0.201 0.207 0.218 167.411 1.02
d_true[65] 0.293 0.001 0.009 0.275 0.287 0.293 0.299 0.31 269.826 1.011
d_true[66] 0.48 0 0.012 0.456 0.472 0.481 0.488 0.504 4000 1.002
d_true[67] 0.782 0 0.021 0.741 0.768 0.782 0.797 0.824 4000 1.001
d_true[68] 0.018 0.001 0.011 -0.003 0.011 0.018 0.026 0.039 163.119 1.029
d_true[69] 0.129 0.001 0.009 0.111 0.123 0.129 0.136 0.148 164.136 1.022
d_true[70] 0.262 0.001 0.009 0.243 0.256 0.262 0.267 0.279 226.626 1.015
d_true[71] 0.336 0 0.01 0.317 0.33 0.336 0.343 0.355 4000 1.006
d_true[72] 0.403 0 0.011 0.381 0.396 0.403 0.411 0.426 4000 1.004
d_true[73] 0.747 0 0.021 0.703 0.734 0.747 0.761 0.787 4000 1
d_true[74] 0.818 0 0.023 0.773 0.802 0.818 0.833 0.865 4000 1.001
d_true[75] 0.185 0.001 0.01 0.166 0.179 0.185 0.192 0.204 203.356 1.019
d_true[76] 0.574 0 0.018 0.54 0.562 0.574 0.587 0.612 4000 1
d_true[77] 0.533 0 0.02 0.495 0.519 0.532 0.546 0.574 4000 0.999
d_true[78] 0.421 0 0.011 0.398 0.413 0.421 0.428 0.443 4000 1.003
d_true[79] 0.476 0 0.014 0.449 0.467 0.476 0.486 0.504 4000 1.002
d_true[80] 0.275 0.001 0.01 0.255 0.268 0.275 0.282 0.295 336.445 1.008
d_true[81] 0.569 0 0.017 0.536 0.557 0.569 0.58 0.602 4000 1
d_true[82] 0.103 0.001 0.01 0.083 0.097 0.103 0.11 0.122 176.659 1.021
d_true[83] 0.186 0.001 0.009 0.167 0.179 0.186 0.192 0.204 183.166 1.017
d_true[84] 0.561 0 0.017 0.529 0.549 0.561 0.572 0.594 4000 1
d_true[85] 0.462 0 0.013 0.436 0.453 0.462 0.471 0.487 4000 1.003
d_true[86] 0.375 0 0.01 0.355 0.368 0.375 0.382 0.395 4000 1.007
d_true[87] 0.442 0 0.012 0.419 0.434 0.442 0.45 0.466 4000 1.001
d_true[88] 0.315 0.001 0.01 0.295 0.309 0.315 0.322 0.335 365.478 1.007
d_true[89] 0.214 0.001 0.01 0.194 0.207 0.214 0.221 0.233 247.948 1.014
d_true[90] 0.307 0 0.011 0.285 0.3 0.307 0.315 0.329 4000 1.007
d_true[91] 0.546 0 0.015 0.516 0.535 0.546 0.556 0.576 4000 1
d_true[92] 0.482 0 0.015 0.454 0.473 0.482 0.492 0.512 4000 1
d_true[93] 0.515 0 0.017 0.482 0.503 0.514 0.527 0.549 4000 0.999
d_true[94] 0.618 0 0.023 0.575 0.603 0.618 0.634 0.665 4000 1
d_true[95] 1.032 0 0.029 0.973 1.012 1.032 1.052 1.086 4000 1
d_true[96] 0.164 0.001 0.009 0.145 0.158 0.164 0.17 0.181 162.091 1.022
d_true[97] 0.084 0.001 0.01 0.064 0.078 0.085 0.091 0.103 153.365 1.028
d_true[98] 0.24 0.001 0.01 0.222 0.234 0.24 0.247 0.259 234.745 1.015
d_true[99] 0.847 0 0.025 0.797 0.831 0.847 0.863 0.897 4000 1
d_true[100] 0.573 0 0.018 0.54 0.561 0.573 0.585 0.608 4000 1
d_true[101] 0.317 0.001 0.01 0.298 0.31 0.317 0.324 0.336 378.606 1.008
d_true[102] 0.546 0 0.016 0.515 0.536 0.546 0.557 0.577 4000 1
d_true[103] 0.415 0 0.011 0.392 0.407 0.415 0.423 0.437 4000 1.002
d_true[104] 0.503 0 0.013 0.478 0.494 0.503 0.512 0.53 4000 1.001
d_true[105] 0.794 0 0.021 0.751 0.78 0.794 0.809 0.836 4000 1
d_true[106] 0.183 0.001 0.01 0.164 0.177 0.184 0.19 0.201 177.36 1.019
d_true[107] 0.241 0.001 0.009 0.222 0.234 0.241 0.247 0.259 221.731 1.013
d_true[108] 0.472 0 0.014 0.445 0.463 0.472 0.482 0.499 4000 1
d_true[109] 0.552 0 0.016 0.52 0.541 0.552 0.562 0.585 4000 1
d_true[110] 0.581 0 0.018 0.547 0.569 0.581 0.593 0.617 4000 1
d_true[111] 0.503 0 0.013 0.477 0.494 0.502 0.511 0.528 4000 1.001
d_true[112] 0.525 0 0.014 0.498 0.515 0.525 0.535 0.554 4000 1
d_true[113] 0.822 0 0.023 0.777 0.807 0.822 0.837 0.868 4000 0.999
d_true[114] 0.771 0 0.021 0.73 0.757 0.771 0.785 0.812 4000 1.001
d_true[115] 0.802 0 0.022 0.759 0.787 0.802 0.816 0.845 4000 1.002
d_true[116] 0.232 0.001 0.009 0.215 0.227 0.233 0.239 0.249 199.408 1.016
d_true[117] 0.303 0.001 0.01 0.283 0.297 0.304 0.31 0.322 336.502 1.009
d_true[118] 0.476 0 0.014 0.448 0.467 0.476 0.485 0.503 4000 1
d_true[119] 0.455 0 0.011 0.434 0.448 0.455 0.463 0.477 4000 1.003
d_true[120] 1.071 0 0.031 1.011 1.05 1.071 1.092 1.132 4000 1.001
d_true[121] 0.731 0 0.02 0.691 0.718 0.731 0.744 0.768 4000 1
d_true[122] 0.532 0 0.015 0.504 0.521 0.532 0.542 0.562 4000 1
d_true[123] 0.507 0 0.013 0.481 0.499 0.508 0.516 0.533 4000 1.001
d_true[124] 1.07 0 0.03 1.012 1.051 1.071 1.091 1.127 4000 1.002
d_true[125] 0.504 0 0.013 0.479 0.495 0.504 0.513 0.53 4000 1.001
d_true[126] 0.279 0.001 0.009 0.261 0.273 0.279 0.286 0.297 281.565 1.014
d_true[127] 0.315 0 0.01 0.295 0.308 0.315 0.322 0.336 4000 1.008
d_true[128] 0.664 0 0.019 0.625 0.65 0.665 0.677 0.701 4000 1
d_true[129] 0.52 0 0.014 0.491 0.511 0.52 0.529 0.548 4000 1.001
d_true[130] 0.546 0 0.016 0.516 0.536 0.546 0.557 0.578 4000 1
d_true[131] 0.548 0 0.015 0.519 0.537 0.548 0.558 0.577 4000 1.001
d_true[132] 0.492 0 0.013 0.467 0.484 0.492 0.501 0.518 4000 1.002
d_true[133] 0.54 0 0.016 0.509 0.529 0.539 0.551 0.573 4000 1
d_true[134] 0.601 0 0.02 0.563 0.587 0.601 0.614 0.641 4000 1
d_true[135] 0.636 0 0.021 0.594 0.622 0.637 0.65 0.675 4000 1.002
d_true[136] 0.304 0.001 0.01 0.284 0.297 0.304 0.311 0.323 331.378 1.011
d_true[137] 0.27 0.001 0.01 0.249 0.263 0.269 0.276 0.289 310.96 1.01
d_true[138] 0.693 0 0.021 0.651 0.678 0.693 0.708 0.734 4000 1
d_true[139] 0.441 0 0.012 0.418 0.433 0.441 0.449 0.464 4000 1.003
d_true[140] 0.641 0 0.025 0.593 0.623 0.64 0.657 0.69 4000 1
d_true[141] 0.418 0 0.011 0.396 0.41 0.418 0.425 0.439 4000 1.002
d_true[142] 0.821 0 0.023 0.776 0.805 0.82 0.836 0.866 4000 1
d_true[143] 0.646 0 0.02 0.606 0.633 0.646 0.66 0.685 4000 0.999
d_true[144] 0.858 0 0.026 0.809 0.84 0.858 0.876 0.908 4000 1
d_true[145] 0.652 0 0.027 0.601 0.633 0.652 0.671 0.707 4000 1
d_true[146] 0.276 0.001 0.01 0.255 0.269 0.276 0.282 0.294 313.237 1.01
d_true[147] 0.359 0 0.012 0.335 0.351 0.359 0.367 0.384 4000 1.002
d_true[148] 0.327 0 0.011 0.306 0.32 0.327 0.334 0.347 4000 1.007
d_true[149] 0.434 0 0.011 0.412 0.426 0.434 0.442 0.457 4000 1.003
d_true[150] 0.596 0 0.02 0.559 0.582 0.595 0.609 0.636 4000 1
d_true[151] 0.443 0 0.011 0.421 0.436 0.444 0.451 0.465 4000 1.002
d_true[152] 0.526 0 0.018 0.493 0.515 0.526 0.538 0.562 4000 1
d_true[153] 0.863 0 0.027 0.812 0.845 0.863 0.881 0.917 4000 1
d_true[154] 0.608 0 0.021 0.568 0.594 0.608 0.622 0.649 4000 0.999
d_true[155] 1.077 0 0.03 1.017 1.057 1.077 1.098 1.135 4000 1
d_true[156] 0.139 0.001 0.01 0.12 0.133 0.139 0.146 0.158 192.607 1.016
d_true[157] 0.29 0 0.011 0.269 0.283 0.29 0.298 0.312 4000 1.01
d_true[158] 0.444 0 0.012 0.42 0.436 0.444 0.452 0.467 4000 1.003
d_true[159] 0.56 0 0.018 0.525 0.548 0.56 0.573 0.596 4000 1
d_true[160] 0.845 0 0.025 0.796 0.828 0.845 0.861 0.893 4000 1.001
d_true[161] 0.783 0 0.02 0.743 0.769 0.783 0.796 0.821 4000 1
d_true[162] 0.601 0 0.022 0.56 0.585 0.6 0.616 0.646 4000 0.999
d_true[163] 0.805 0 0.022 0.762 0.79 0.805 0.82 0.849 4000 1
d_true[164] 0.281 0.001 0.01 0.261 0.274 0.281 0.288 0.3 313.131 1.009
d_true[165] 0.213 0.001 0.01 0.194 0.206 0.213 0.22 0.232 227.923 1.017
d_true[166] 0.324 0 0.011 0.303 0.317 0.324 0.331 0.344 4000 1.005
d_true[167] 0.502 0 0.016 0.471 0.491 0.502 0.513 0.535 4000 1
d_true[168] 0.552 0 0.023 0.509 0.536 0.551 0.567 0.601 4000 1
d_true[169] 0.488 0 0.015 0.459 0.478 0.487 0.498 0.518 4000 1.001
d_true[170] 0.573 0 0.018 0.539 0.561 0.573 0.585 0.609 4000 1.001
d_true[171] 0.885 0 0.028 0.83 0.866 0.885 0.904 0.94 4000 1
d_true[172] 0.902 0 0.03 0.844 0.881 0.902 0.923 0.962 4000 0.999
d_true[173] 1.091 0 0.031 1.03 1.071 1.091 1.112 1.153 4000 1
d_true[174] 1.063 0 0.029 1.005 1.044 1.064 1.083 1.118 4000 1
d_true[175] 0.169 0.001 0.01 0.149 0.162 0.169 0.176 0.189 210.946 1.016
d_true[176] 0.337 0 0.013 0.311 0.327 0.337 0.346 0.363 4000 1.004
d_true[177] 0.526 0 0.015 0.497 0.516 0.526 0.537 0.557 4000 1
d_true[178] 0.495 0 0.016 0.466 0.484 0.495 0.506 0.527 4000 1.001
d_true[179] 0.575 0 0.019 0.539 0.562 0.574 0.587 0.613 4000 1.001
d_true[180] 0.615 0 0.024 0.57 0.598 0.614 0.63 0.664 4000 0.999
d_true[181] 0.597 0 0.021 0.557 0.583 0.597 0.611 0.639 4000 0.999
d_true[182] 1.079 0.001 0.033 1.016 1.057 1.079 1.101 1.144 4000 1
d_true[183] 0.938 0.001 0.036 0.869 0.913 0.938 0.963 1.009 4000 0.999
d_true[184] 1.132 0.001 0.036 1.063 1.107 1.132 1.156 1.205 4000 1
d_true[185] 1.1 0.001 0.032 1.038 1.078 1.1 1.122 1.161 4000 1
d_true[186] 0.293 0 0.013 0.267 0.284 0.293 0.302 0.318 4000 1.006
d_true[187] 0.315 0 0.015 0.286 0.305 0.315 0.325 0.346 4000 1.005
d_true[188] 0.376 0 0.018 0.341 0.363 0.376 0.388 0.413 4000 1.001
d_true[189] 0.513 0 0.017 0.48 0.501 0.512 0.524 0.547 4000 1
d_true[190] 0.64 0 0.029 0.588 0.62 0.638 0.658 0.701 4000 1
d_true[191] 0.908 0.001 0.039 0.838 0.881 0.906 0.932 0.989 4000 1
d_true[192] 0.56 0 0.018 0.524 0.548 0.559 0.572 0.596 4000 1
d_true[193] 0.904 0.001 0.035 0.838 0.88 0.903 0.927 0.973 4000 0.999
d_true[194] 0.904 0.001 0.036 0.837 0.88 0.903 0.926 0.979 4000 1
d_true[195] 0.902 0.001 0.034 0.837 0.878 0.901 0.925 0.972 4000 0.999
d_true[196] 1.114 0.001 0.038 1.039 1.089 1.113 1.14 1.188 4000 1
d_true[197] 0.091 0.001 0.01 0.07 0.084 0.09 0.097 0.111 176.339 1.028
d_true[198] 0.145 0.001 0.01 0.126 0.138 0.145 0.151 0.164 177.644 1.02
d_true[199] 0.275 0.001 0.01 0.255 0.268 0.275 0.282 0.295 332.926 1.01
d_true[200] 0.503 0 0.014 0.476 0.494 0.503 0.512 0.53 4000 1.002
d_true[201] 0.566 0 0.018 0.533 0.554 0.566 0.579 0.603 4000 1
d_true[202] 0.762 0 0.024 0.716 0.746 0.762 0.778 0.81 4000 1
d_true[203] 0.849 0.001 0.037 0.78 0.823 0.847 0.873 0.929 4000 1
d_true[204] 0.853 0.001 0.039 0.783 0.826 0.851 0.878 0.931 4000 1
d_true[205] 0.124 0.001 0.011 0.103 0.117 0.124 0.131 0.145 196.982 1.022
d_true[206] 0.191 0.001 0.011 0.17 0.183 0.191 0.198 0.211 263.566 1.014
d_true[207] 0.229 0.001 0.01 0.209 0.222 0.229 0.236 0.249 289.247 1.013
d_true[208] 0.423 0 0.012 0.4 0.415 0.423 0.432 0.447 4000 1.004
d_true[209] 0.549 0 0.016 0.517 0.538 0.548 0.559 0.582 4000 1
d_true[210] 0.598 0 0.022 0.558 0.583 0.597 0.612 0.642 4000 0.999
d_true[211] 0.897 0.001 0.034 0.833 0.874 0.896 0.919 0.969 4000 1
d_true[212] 0.773 0 0.027 0.722 0.755 0.772 0.791 0.828 4000 1
d_true[213] -0.066 0.001 0.013 -0.092 -0.074 -0.065 -0.056 -0.039 183.251 1.021
d_true[214] 0.017 0.001 0.011 -0.004 0.01 0.018 0.025 0.038 149.896 1.025
d_true[215] 0.26 0.001 0.009 0.242 0.254 0.26 0.266 0.277 240.675 1.013
d_true[216] 0.304 0.001 0.01 0.285 0.298 0.304 0.311 0.323 357.221 1.006
d_true[217] 0.223 0.001 0.008 0.206 0.218 0.223 0.229 0.239 187.028 1.02
d_true[218] -0.057 0.001 0.013 -0.084 -0.066 -0.057 -0.048 -0.032 188.66 1.02
d_true[219] 0.078 0.001 0.01 0.058 0.071 0.078 0.085 0.098 157.331 1.027
d_true[220] 0.377 0 0.01 0.357 0.371 0.377 0.384 0.397 4000 1.006
d_true[221] 0.589 0 0.02 0.552 0.576 0.589 0.603 0.63 4000 1.001
d_true[222] 0.217 0.001 0.008 0.199 0.211 0.217 0.222 0.233 174.067 1.022
d_true[223] 0.016 0.001 0.011 -0.005 0.009 0.016 0.024 0.037 150.908 1.027
d_true[224] 0.105 0.001 0.01 0.085 0.098 0.105 0.111 0.123 151.534 1.026
d_true[225] 0.116 0.001 0.009 0.098 0.109 0.116 0.122 0.134 155.089 1.024
d_true[226] 0.152 0.001 0.009 0.134 0.146 0.152 0.158 0.169 154.483 1.025
d_true[227] 0.845 0 0.026 0.794 0.827 0.845 0.863 0.895 4000 1
d_true[228] 0.605 0 0.021 0.564 0.591 0.605 0.619 0.645 4000 1
d_true[229] -0.052 0.001 0.013 -0.078 -0.06 -0.052 -0.043 -0.027 200.758 1.02
d_true[230] 0.059 0.001 0.01 0.039 0.053 0.059 0.066 0.079 153.134 1.028
d_true[231] 0.477 0 0.012 0.453 0.469 0.477 0.485 0.501 4000 1.002
d_true[232] 0.261 0.001 0.009 0.243 0.255 0.261 0.267 0.279 249.725 1.013
d_true[233] 0.819 0 0.03 0.764 0.798 0.818 0.838 0.879 4000 1
d_true[234] -0.028 0.001 0.012 -0.053 -0.036 -0.028 -0.02 -0.005 177.584 1.021
d_true[235] 0.068 0.001 0.01 0.049 0.061 0.068 0.075 0.087 168.11 1.022
d_true[236] 0.294 0.001 0.009 0.275 0.287 0.294 0.3 0.311 289.098 1.011
d_true[237] 0.35 0 0.01 0.331 0.343 0.35 0.357 0.369 4000 1.008
d_true[238] 0.278 0.001 0.009 0.26 0.272 0.278 0.284 0.296 228.068 1.014
d_true[239] 0.93 0 0.029 0.872 0.91 0.93 0.95 0.986 4000 0.999
d_true[240] 0.14 0.001 0.01 0.12 0.133 0.14 0.147 0.159 176.748 1.022
d_true[241] 0.434 0 0.012 0.411 0.426 0.434 0.442 0.457 4000 1.003
d_true[242] 0.426 0 0.011 0.404 0.418 0.426 0.434 0.448 4000 1.002
d_true[243] 0.639 0 0.027 0.588 0.621 0.639 0.656 0.694 4000 1.001
d_true[244] 0.495 0 0.016 0.465 0.484 0.495 0.506 0.527 4000 1.001
d_true[245] 0.523 0 0.014 0.495 0.513 0.523 0.533 0.551 4000 1
d_true[246] 0.52 0 0.014 0.493 0.51 0.52 0.529 0.548 4000 1
d_true[247] 0.799 0 0.029 0.745 0.78 0.799 0.819 0.856 4000 0.999
d_true[248] 0.216 0.001 0.01 0.196 0.209 0.216 0.223 0.237 260.883 1.014
d_true[249] 0.34 0 0.011 0.318 0.332 0.34 0.347 0.363 4000 1.006
d_true[250] 0.605 0 0.021 0.566 0.591 0.605 0.619 0.648 4000 1
d_true[251] 0.554 0 0.016 0.523 0.543 0.553 0.564 0.585 4000 1
d_true[252] 0.489 0 0.015 0.462 0.479 0.489 0.499 0.519 4000 1
d_true[253] 0.368 0 0.01 0.348 0.361 0.368 0.375 0.388 4000 1.004
d_true[254] 0.582 0 0.018 0.548 0.57 0.582 0.593 0.62 4000 1
d_true[255] 0.761 0 0.023 0.715 0.746 0.761 0.776 0.807 4000 1
d_true[256] 0.702 0 0.02 0.661 0.689 0.703 0.716 0.741 4000 0.999
d_true[257] 0.285 0.001 0.01 0.265 0.279 0.285 0.292 0.306 314.001 1.011
d_true[258] 0.363 0 0.013 0.338 0.354 0.363 0.372 0.389 4000 1.004
d_true[259] 0.446 0 0.012 0.423 0.438 0.446 0.454 0.469 4000 1.002
d_true[260] 0.393 0 0.016 0.362 0.382 0.392 0.403 0.426 4000 1.001
d_true[261] 0.597 0 0.02 0.558 0.583 0.597 0.61 0.638 4000 1
d_true[262] 0.541 0 0.015 0.512 0.531 0.541 0.55 0.57 4000 1
d_true[263] 0.632 0 0.024 0.585 0.615 0.631 0.648 0.681 4000 1
d_true[264] 0.388 0 0.01 0.368 0.381 0.388 0.394 0.408 4000 1.006
d_true[265] 1.035 0 0.03 0.974 1.015 1.036 1.056 1.09 4000 1.001
d_true[266] -0.068 0.001 0.014 -0.095 -0.077 -0.068 -0.058 -0.042 183.844 1.02
d_true[267] 0.112 0.001 0.009 0.094 0.106 0.112 0.118 0.131 151.828 1.02
d_true[268] 0.19 0.001 0.009 0.173 0.184 0.19 0.196 0.208 166.642 1.022
d_true[269] 0.352 0 0.01 0.333 0.346 0.352 0.359 0.371 4000 1.006
d_true[270] 0.465 0 0.012 0.441 0.456 0.464 0.473 0.488 4000 1.004
d_true[271] 0.695 0 0.022 0.65 0.681 0.695 0.71 0.738 4000 0.999
d_true[272] 1.037 0 0.028 0.981 1.019 1.037 1.055 1.091 4000 1.001
d_true[273] 0.522 0 0.014 0.494 0.512 0.522 0.531 0.549 4000 1.001
d_true[274] 0.459 0 0.014 0.434 0.45 0.459 0.469 0.486 4000 1.002
d_true[275] 0.422 0 0.011 0.401 0.414 0.421 0.429 0.443 4000 1.005
d_true[276] 0.897 0 0.03 0.839 0.877 0.897 0.917 0.955 4000 0.999
d_true[277] 1.028 0 0.03 0.966 1.009 1.029 1.047 1.083 4000 1.001
d_true[278] 1.117 0.001 0.032 1.054 1.096 1.118 1.139 1.18 4000 1
d_true[279] 0.92 0 0.025 0.871 0.904 0.92 0.937 0.967 4000 1
d_true[280] 1.034 0 0.027 0.979 1.015 1.034 1.053 1.086 4000 1
d_true[281] 0.252 0.001 0.009 0.234 0.246 0.252 0.258 0.27 247.03 1.012
d_true[282] 0.467 0 0.014 0.44 0.457 0.467 0.476 0.495 4000 1.002
d_true[283] 0.841 0 0.025 0.794 0.824 0.841 0.857 0.892 4000 1
d_true[284] 0.754 0 0.022 0.709 0.739 0.754 0.768 0.796 4000 1
d_true[285] 0.517 0 0.014 0.492 0.508 0.517 0.526 0.545 4000 1
d_true[286] 0.535 0 0.015 0.507 0.525 0.535 0.545 0.564 4000 1.001
d_true[287] 1.049 0 0.03 0.988 1.029 1.049 1.068 1.107 4000 1
d_true[288] 0.568 0 0.018 0.533 0.556 0.568 0.58 0.604 4000 1
d_true[289] 1.044 0 0.028 0.986 1.025 1.044 1.063 1.097 4000 1
d_true[290] 0.362 0 0.013 0.337 0.353 0.362 0.371 0.388 4000 1.003
d_true[291] 0.159 0.001 0.009 0.141 0.152 0.158 0.165 0.177 171.809 1.023
d_true[292] 0.265 0.001 0.01 0.246 0.258 0.265 0.271 0.284 280.066 1.012
d_true[293] 0.544 0 0.015 0.516 0.534 0.544 0.554 0.573 4000 1
d_true[294] 0.512 0 0.017 0.479 0.5 0.512 0.523 0.547 4000 1
d_true[295] 0.972 0 0.028 0.916 0.954 0.973 0.991 1.024 4000 1
d_true[296] 0.625 0 0.023 0.581 0.609 0.625 0.641 0.671 4000 0.999
d_true[297] 1.081 0.001 0.032 1.017 1.06 1.081 1.103 1.145 4000 1
d_true[298] 0.386 0 0.011 0.366 0.379 0.386 0.393 0.407 4000 1.004
d_true[299] 0.64 0 0.024 0.593 0.623 0.639 0.656 0.688 4000 1
d_true[300] 0.508 0 0.013 0.483 0.499 0.508 0.517 0.534 4000 1.002
d_true[301] -0.069 0.001 0.013 -0.094 -0.078 -0.069 -0.059 -0.044 194.685 1.02
d_true[302] 0.13 0.001 0.009 0.112 0.124 0.131 0.137 0.148 160.027 1.025
d_true[303] 0.178 0.001 0.009 0.16 0.172 0.179 0.184 0.195 163.981 1.022
d_true[304] 0.39 0 0.01 0.369 0.382 0.39 0.397 0.41 4000 1.003
d_true[305] 0.6 0 0.02 0.562 0.586 0.599 0.614 0.64 4000 1
d_true[306] 0.662 0 0.022 0.618 0.647 0.663 0.677 0.704 4000 1
d_true[307] 1.013 0 0.029 0.955 0.994 1.013 1.032 1.067 4000 1
d_true[308] 0.842 0 0.025 0.793 0.825 0.842 0.859 0.891 4000 1
d_true[309] 0.909 0 0.026 0.858 0.891 0.908 0.928 0.961 4000 1
d_true[310] 0.809 0 0.022 0.767 0.794 0.809 0.824 0.851 4000 1
d_true[311] 0.52 0 0.014 0.494 0.511 0.52 0.53 0.549 4000 1.001
d_true[312] 0.617 0 0.022 0.574 0.601 0.616 0.631 0.662 4000 0.999
d_true[313] 0.561 0 0.016 0.53 0.55 0.561 0.571 0.593 4000 1
d_true[314] 0.556 0 0.016 0.525 0.545 0.556 0.567 0.588 4000 1
d_true[315] 0.478 0 0.014 0.45 0.468 0.478 0.487 0.505 4000 1
d_true[316] 0.316 0 0.01 0.296 0.31 0.316 0.323 0.336 4000 1.008
d_true[317] 0.331 0 0.011 0.309 0.324 0.331 0.339 0.352 4000 1.006
d_true[318] 0.186 0.001 0.01 0.167 0.179 0.186 0.193 0.204 196.84 1.022
d_true[319] 0.33 0 0.011 0.308 0.322 0.329 0.337 0.351 4000 1.007
d_true[320] 0.469 0 0.013 0.444 0.46 0.469 0.478 0.495 4000 1.001
d_true[321] 0.438 0 0.012 0.414 0.43 0.438 0.446 0.462 4000 1.001
d_true[322] 0.442 0 0.012 0.418 0.434 0.442 0.45 0.466 4000 1.002
d_true[323] 0.508 0 0.013 0.483 0.499 0.508 0.517 0.534 4000 1.003
d_true[324] 0.51 0 0.013 0.484 0.501 0.51 0.519 0.537 4000 1.001
d_true[325] 0.809 0 0.022 0.765 0.795 0.809 0.824 0.852 4000 1
d_true[326] 0.696 0 0.022 0.652 0.682 0.696 0.712 0.737 4000 1
d_true[327] 0.618 0 0.024 0.573 0.602 0.618 0.634 0.666 4000 0.999
d_true[328] 0.556 0 0.017 0.524 0.545 0.556 0.567 0.59 4000 1
d_true[329] 0.222 0.001 0.009 0.204 0.215 0.221 0.228 0.239 215.242 1.014
d_true[330] 0.51 0 0.013 0.484 0.501 0.51 0.519 0.536 4000 1.001
d_true[331] 0.54 0 0.015 0.511 0.529 0.54 0.55 0.57 4000 1.001
d_true[332] 0.793 0 0.021 0.752 0.779 0.792 0.807 0.835 4000 1
d_true[333] 0.702 0 0.021 0.662 0.688 0.702 0.717 0.743 4000 0.999
d_true[334] 0.891 0 0.03 0.83 0.87 0.891 0.911 0.949 4000 1.001
d_true[335] 0.576 0 0.018 0.541 0.563 0.575 0.587 0.612 4000 1
d_true[336] 1.063 0 0.028 1.007 1.044 1.063 1.081 1.116 4000 1.001
d_true[337] 0.343 0 0.011 0.321 0.336 0.343 0.351 0.366 4000 1.006
d_true[338] 0.285 0 0.011 0.264 0.278 0.285 0.292 0.306 4000 1.009
d_true[339] 0.717 0 0.023 0.671 0.703 0.718 0.733 0.76 4000 1
d_true[340] 0.886 0 0.031 0.829 0.864 0.885 0.907 0.949 4000 1
d_true[341] 0.579 0 0.018 0.544 0.566 0.579 0.591 0.615 4000 1
d_true[342] 0.524 0 0.014 0.496 0.514 0.523 0.533 0.552 4000 1.001
d_true[343] 0.902 0 0.03 0.844 0.882 0.902 0.923 0.963 4000 1
d_true[344] 0.577 0 0.018 0.542 0.565 0.577 0.589 0.614 4000 1
d_true[345] 0.106 0.001 0.009 0.088 0.1 0.106 0.113 0.125 161.478 1.027
d_true[346] 0.192 0.001 0.01 0.172 0.185 0.192 0.198 0.21 196.971 1.016
d_true[347] 0.281 0.001 0.009 0.262 0.274 0.281 0.287 0.299 252.682 1.012
d_true[348] 0.442 0 0.011 0.421 0.435 0.442 0.45 0.464 4000 1.003
d_true[349] 0.503 0 0.013 0.477 0.493 0.503 0.511 0.529 4000 1.002
d_true[350] 0.513 0 0.014 0.486 0.504 0.513 0.522 0.539 4000 1.001
d_true[351] 0.536 0 0.015 0.506 0.525 0.535 0.546 0.566 4000 1.001
d_true[352] 0.924 0 0.027 0.871 0.906 0.924 0.942 0.975 4000 0.999
d_true[353] 0.889 0 0.029 0.834 0.869 0.889 0.909 0.946 4000 1
d_true[354] 0.99 0 0.027 0.936 0.972 0.99 1.008 1.04 4000 1.001
d_true[355] 0.237 0.001 0.01 0.216 0.23 0.237 0.244 0.257 284.034 1.012
d_true[356] 0.89 0 0.028 0.834 0.872 0.889 0.909 0.946 4000 1
d_true[357] 0.514 0 0.017 0.481 0.502 0.513 0.525 0.549 4000 1
d_true[358] 0.744 0 0.024 0.697 0.728 0.744 0.761 0.791 4000 1
d_true[359] 0.712 0 0.019 0.673 0.699 0.711 0.725 0.75 4000 0.999
d_true[360] 0.704 0 0.019 0.665 0.691 0.704 0.717 0.742 4000 0.999
d_true[361] 0.955 0 0.028 0.899 0.936 0.955 0.974 1.007 4000 1.001
d_true[362] 1.065 0 0.03 1.005 1.045 1.066 1.085 1.121 4000 1.001
d_true[363] 0.25 0.001 0.009 0.233 0.244 0.25 0.256 0.267 236.872 1.015
d_true[364] 0.607 0 0.02 0.568 0.593 0.606 0.62 0.647 4000 1
d_true[365] 0.581 0 0.019 0.545 0.569 0.581 0.593 0.62 4000 1
d_true[366] 0.581 0 0.019 0.545 0.568 0.581 0.595 0.62 4000 0.999
d_true[367] 0.71 0 0.023 0.666 0.695 0.711 0.725 0.755 4000 1
d_true[368] 0.746 0 0.022 0.702 0.731 0.746 0.761 0.79 4000 0.999
d_true[369] 1.033 0 0.029 0.977 1.014 1.034 1.053 1.089 4000 1.001
d_true[370] 0.593 0 0.02 0.556 0.579 0.593 0.607 0.634 4000 1
d_true[371] 1.016 0 0.031 0.952 0.995 1.016 1.037 1.073 4000 1
d_true[372] 0.977 0 0.025 0.93 0.961 0.977 0.994 1.025 4000 1.001
d_true[373] 0.634 0 0.029 0.582 0.613 0.632 0.652 0.696 4000 0.999
d_true[374] 0.548 0 0.016 0.518 0.537 0.548 0.559 0.581 4000 1
d_true[375] 0.464 0 0.013 0.438 0.454 0.463 0.473 0.49 4000 1.002
d_true[376] 0.34 0 0.012 0.317 0.332 0.34 0.348 0.363 4000 1.007
d_true[377] 1.059 0 0.03 0.999 1.039 1.059 1.078 1.115 4000 1.001
d_true[378] 0.769 0 0.024 0.723 0.753 0.769 0.786 0.817 4000 1.001
d_true[379] 0.285 0.001 0.011 0.264 0.277 0.284 0.292 0.305 309.702 1.009
d_true[380] 1.142 0.001 0.033 1.079 1.119 1.142 1.164 1.208 4000 1
d_true[381] 0.72 0 0.022 0.678 0.706 0.721 0.735 0.763 4000 1.001
d_true[382] 1.051 0 0.029 0.994 1.032 1.052 1.071 1.105 4000 1
d_true[383] 0.894 0 0.029 0.837 0.875 0.894 0.914 0.952 4000 1
d_true[384] 0.883 0 0.029 0.829 0.864 0.883 0.902 0.94 4000 1
d_true[385] 0.917 0.001 0.034 0.852 0.894 0.916 0.941 0.983 4000 1
d_true[386] 0.526 0 0.015 0.498 0.516 0.526 0.535 0.555 4000 1
d_true[387] 0.905 0.001 0.032 0.844 0.883 0.904 0.925 0.969 4000 1
d_true[388] 0.063 0.001 0.01 0.044 0.057 0.063 0.07 0.083 151.274 1.027
d_true[389] 0.069 0.001 0.01 0.049 0.062 0.069 0.076 0.088 154.272 1.025
d_true[390] 0.362 0 0.01 0.342 0.356 0.362 0.369 0.381 4000 1.007
d_true[391] 0.49 0 0.012 0.467 0.482 0.49 0.498 0.514 4000 1.002
d_true[392] 0.835 0 0.024 0.79 0.819 0.835 0.851 0.884 4000 1
d_true[393] 0.816 0 0.023 0.773 0.8 0.816 0.831 0.86 4000 1
d_true[394] 0.064 0.001 0.01 0.043 0.057 0.064 0.07 0.083 150.565 1.027
d_true[395] 0.417 0 0.011 0.396 0.41 0.417 0.424 0.437 4000 1.003
d_true[396] 0.317 0 0.01 0.297 0.31 0.317 0.324 0.336 4000 1.008
d_true[397] 0.802 0 0.022 0.759 0.788 0.802 0.817 0.845 4000 1
d_true[398] 0.478 0 0.012 0.453 0.47 0.478 0.487 0.502 4000 1.001
d_true[399] 0.546 0 0.015 0.517 0.536 0.546 0.556 0.576 4000 1
d_true[400] 0.762 0 0.02 0.722 0.749 0.762 0.775 0.8 4000 1.001
d_true[401] 0.44 0 0.011 0.417 0.433 0.44 0.448 0.462 4000 1.001
d_true[402] 0.71 0 0.021 0.67 0.696 0.71 0.724 0.752 4000 0.999
d_true[403] 0.961 0 0.029 0.902 0.942 0.962 0.981 1.017 4000 1
d_true[404] 0.644 0 0.026 0.595 0.626 0.644 0.662 0.694 4000 0.999
d_true[405] 0.432 0 0.012 0.408 0.424 0.432 0.441 0.456 4000 1
d_true[406] 0.625 0 0.023 0.58 0.609 0.625 0.641 0.671 4000 1
d_true[407] 0.586 0 0.018 0.552 0.574 0.585 0.598 0.622 4000 1
d_true[408] 0.451 0 0.013 0.427 0.443 0.451 0.459 0.476 4000 1.002
d_true[409] 0.505 0 0.013 0.479 0.496 0.505 0.514 0.53 4000 1.001
d_true[410] -0.04 0.001 0.012 -0.065 -0.048 -0.04 -0.032 -0.017 183.523 1.023
d_true[411] 0.386 0 0.011 0.365 0.38 0.387 0.394 0.407 4000 1.008
d_true[412] 0.414 0 0.011 0.393 0.407 0.414 0.422 0.436 4000 1.003
d_true[413] 0.476 0 0.012 0.452 0.468 0.476 0.484 0.5 4000 1.002
d_true[414] 0.409 0 0.011 0.387 0.402 0.409 0.416 0.43 4000 1.003
d_true[415] 0.832 0 0.024 0.785 0.816 0.833 0.848 0.881 4000 0.999
d_true[416] 0.586 0 0.018 0.551 0.573 0.585 0.598 0.622 4000 1
d_true[417] 0.502 0 0.016 0.47 0.491 0.502 0.513 0.534 4000 1.001
d_true[418] 0.823 0 0.022 0.779 0.809 0.823 0.838 0.866 4000 1
d_true[419] 0.614 0 0.022 0.573 0.6 0.613 0.628 0.659 4000 0.999
d_true[420] 0.775 0 0.02 0.735 0.761 0.775 0.789 0.815 4000 1
d_true[421] 0.834 0 0.024 0.789 0.819 0.834 0.85 0.883 4000 1
d_true[422] 0.885 0 0.029 0.83 0.866 0.885 0.904 0.943 4000 1
d_true[423] 0.948 0 0.027 0.893 0.93 0.949 0.966 0.999 4000 1
d_true[424] 0.749 0 0.023 0.703 0.734 0.748 0.763 0.796 4000 1
d_true[425] 0.084 0.001 0.01 0.065 0.078 0.084 0.091 0.104 149.158 1.027
d_true[426] 0.413 0 0.011 0.392 0.406 0.413 0.42 0.433 4000 1.003
d_true[427] 0.444 0 0.011 0.423 0.437 0.444 0.452 0.466 4000 1.004
d_true[428] 0.714 0 0.022 0.671 0.699 0.714 0.729 0.755 4000 0.999
d_true[429] 0.887 0 0.029 0.831 0.867 0.886 0.906 0.944 4000 1
d_true[430] 0.816 0 0.022 0.773 0.801 0.816 0.831 0.86 4000 1.001
d_true[431] 0.377 0 0.013 0.352 0.368 0.377 0.386 0.403 4000 1.002
d_true[432] 0.651 0 0.029 0.596 0.63 0.65 0.67 0.709 4000 1
d_true[433] 0.426 0 0.012 0.404 0.419 0.426 0.434 0.45 4000 1.002
d_true[434] 0.602 0 0.022 0.56 0.587 0.601 0.616 0.647 4000 1
d_true[435] 0.604 0 0.02 0.567 0.59 0.604 0.618 0.643 4000 1
d_true[436] 0.832 0 0.025 0.783 0.815 0.831 0.848 0.884 4000 1
d_true[437] 0.895 0.001 0.032 0.835 0.874 0.895 0.915 0.959 4000 1
d_true[438] 0.665 0 0.032 0.607 0.643 0.664 0.686 0.729 4000 1
d_true[439] 1.055 0 0.031 0.992 1.033 1.056 1.077 1.114 4000 1.001
d_true[440] 0.845 0 0.026 0.795 0.828 0.844 0.862 0.895 4000 1
d_true[441] 0.415 0 0.019 0.38 0.402 0.414 0.426 0.453 4000 1.001
d_true[442] 0.619 0 0.025 0.572 0.601 0.618 0.635 0.67 4000 1
d_true[443] 0.806 0 0.031 0.747 0.786 0.806 0.826 0.868 4000 1
d_true[444] 0.668 0.001 0.033 0.607 0.644 0.667 0.69 0.738 4000 0.999
d_true[445] 0.761 0 0.021 0.719 0.747 0.761 0.776 0.802 4000 1
d_true[446] 0.786 0 0.022 0.743 0.772 0.786 0.801 0.83 4000 1
d_true[447] 0.915 0.001 0.033 0.851 0.892 0.914 0.936 0.982 4000 0.999
d_true[448] 0.783 0 0.026 0.734 0.765 0.783 0.8 0.834 4000 1
d_true[449] 0.98 0 0.029 0.924 0.961 0.98 1 1.036 4000 1.001
d_true[450] 0.631 0 0.023 0.587 0.615 0.63 0.646 0.677 4000 1
d_true[451] 0.236 0.001 0.011 0.215 0.228 0.236 0.243 0.257 304.832 1.011
d_true[452] 0.386 0 0.014 0.36 0.376 0.386 0.396 0.415 4000 1.004
d_true[453] 0.52 0 0.017 0.488 0.508 0.52 0.532 0.553 4000 1
d_true[454] 0.541 0 0.021 0.502 0.526 0.54 0.555 0.583 4000 0.999
d_true[455] 0.774 0 0.024 0.727 0.759 0.774 0.79 0.821 4000 1
d_true[456] 0.545 0 0.016 0.514 0.534 0.544 0.555 0.576 4000 1
d_true[457] 0.877 0 0.028 0.822 0.859 0.877 0.896 0.933 4000 1
d_true[458] 0.607 0 0.023 0.565 0.591 0.606 0.622 0.652 4000 1
d_true[459] 0.878 0 0.028 0.824 0.858 0.878 0.896 0.934 4000 0.999
d_true[460] 0.924 0.001 0.034 0.857 0.901 0.923 0.947 0.993 4000 1
d_true[461] 0.007 0.001 0.012 -0.016 -0.001 0.007 0.015 0.029 176.92 1.02
d_true[462] 0.236 0.001 0.009 0.217 0.23 0.236 0.242 0.254 224.134 1.014
d_true[463] 0.35 0 0.01 0.33 0.344 0.351 0.357 0.37 4000 1.008
d_true[464] 0.447 0 0.011 0.425 0.439 0.447 0.455 0.469 4000 1.004
d_true[465] 0.541 0 0.016 0.511 0.53 0.54 0.551 0.571 4000 1.001
d_true[466] 0.725 0 0.023 0.679 0.709 0.725 0.74 0.77 4000 1
d_true[467] 1.08 0 0.031 1.018 1.058 1.081 1.101 1.141 4000 1
d_true[468] 0.156 0.001 0.01 0.136 0.149 0.156 0.162 0.175 197.55 1.015
d_true[469] 0.276 0.001 0.01 0.256 0.269 0.276 0.283 0.296 324.535 1.01
d_true[470] 0.883 0 0.028 0.829 0.862 0.882 0.902 0.939 4000 1
d_true[471] 0.512 0 0.017 0.48 0.501 0.512 0.524 0.546 4000 1
d_true[472] 0.616 0 0.024 0.573 0.599 0.615 0.632 0.666 4000 0.999
d_true[473] 0.61 0 0.022 0.568 0.594 0.609 0.625 0.656 4000 1
d_true[474] 0.501 0 0.016 0.47 0.49 0.501 0.511 0.532 4000 1
d_true[475] 0.576 0 0.018 0.541 0.564 0.575 0.587 0.611 4000 1
d_true[476] 0.897 0 0.03 0.841 0.877 0.896 0.917 0.958 4000 0.999
d_true[477] 0.769 0 0.025 0.722 0.752 0.769 0.785 0.819 4000 1
d_true[478] 0.421 0 0.019 0.384 0.407 0.421 0.434 0.46 4000 1.002
d_true[479] 0.247 0.001 0.01 0.228 0.241 0.248 0.254 0.266 240.232 1.012
d_true[480] 0.403 0 0.016 0.372 0.392 0.403 0.414 0.437 4000 1.001
d_true[481] 0.944 0.001 0.04 0.868 0.917 0.943 0.97 1.023 4000 1
d_true[482] 0.792 0 0.021 0.749 0.778 0.792 0.807 0.835 4000 1
d_true[483] 0.695 0.001 0.044 0.618 0.665 0.692 0.724 0.789 4000 0.999
d_true[484] 0.659 0.001 0.032 0.599 0.637 0.658 0.68 0.726 4000 1.001
d_true[485] 0.569 0 0.017 0.537 0.557 0.569 0.58 0.603 4000 1
d_true[486] 0.312 0 0.01 0.291 0.305 0.311 0.319 0.332 4000 1.006
d_true[487] 0.368 0 0.013 0.342 0.359 0.368 0.377 0.394 4000 1.002
d_true[488] 0.582 0 0.019 0.547 0.569 0.581 0.594 0.62 4000 1
d_true[489] 0.238 0.001 0.009 0.219 0.232 0.238 0.245 0.257 224.058 1.017
d_true[490] 0.626 0 0.027 0.576 0.607 0.625 0.643 0.683 4000 0.999
d_true[491] 0.513 0 0.017 0.481 0.502 0.514 0.525 0.547 4000 1
d_true[492] 0.402 0 0.017 0.371 0.391 0.402 0.413 0.436 4000 1.002
d_true[493] 0.542 0 0.016 0.511 0.531 0.542 0.553 0.574 4000 1
d_true[494] 0.791 0 0.028 0.737 0.771 0.79 0.81 0.846 4000 0.999
d_true[495] 0.812 0 0.023 0.767 0.797 0.812 0.828 0.857 4000 1.001
d_true[496] 0.865 0.001 0.042 0.79 0.837 0.863 0.891 0.954 4000 1
d_true[497] 0.237 0.001 0.011 0.217 0.23 0.237 0.244 0.257 265.694 1.013
d_true[498] 0.367 0 0.014 0.339 0.357 0.366 0.376 0.394 4000 1.003
d_true[499] 0.944 0.001 0.038 0.874 0.918 0.943 0.969 1.019 4000 0.999
d_true[500] 0.655 0.001 0.032 0.599 0.632 0.653 0.675 0.722 4000 1
d_true[501] 0.643 0 0.027 0.593 0.625 0.642 0.661 0.698 4000 1.001
d_true[502] 0.813 0 0.03 0.757 0.792 0.812 0.833 0.876 4000 1
d_true[503] 0.866 0.001 0.044 0.788 0.834 0.864 0.895 0.957 4000 0.999
d_true[504] 0.911 0.001 0.034 0.846 0.887 0.91 0.933 0.98 4000 1
d_true[505] 0.976 0.001 0.05 0.887 0.94 0.974 1.01 1.075 4000 1
d_true[506] 0.288 0 0.011 0.266 0.28 0.288 0.295 0.307 4000 1.009
d_true[507] 0.634 0 0.026 0.585 0.616 0.633 0.652 0.689 4000 1
d_true[508] 0.517 0 0.018 0.485 0.505 0.517 0.529 0.553 4000 1.001
d_true[509] 0.565 0 0.017 0.532 0.554 0.564 0.575 0.598 4000 1
d_true[510] 1.099 0.001 0.033 1.034 1.078 1.1 1.121 1.164 4000 1
d_true[511] 0.875 0 0.031 0.815 0.854 0.875 0.896 0.939 4000 1
d_true[512] 0.612 0 0.023 0.57 0.596 0.612 0.628 0.659 4000 1
d_true[513] 1.057 0.001 0.033 0.992 1.035 1.057 1.079 1.12 4000 1.001
d_true[514] 1.094 0 0.031 1.034 1.073 1.093 1.114 1.155 4000 1.001
d_true[515] 0.587 0 0.02 0.55 0.574 0.587 0.6 0.627 4000 1
d_true[516] 0.128 0.001 0.01 0.109 0.121 0.128 0.134 0.146 159.777 1.021
d_true[517] 0.38 0 0.014 0.353 0.371 0.38 0.39 0.409 4000 1.003
d_true[518] 0.316 0 0.012 0.293 0.308 0.316 0.324 0.34 4000 1.007
d_true[519] 0.514 0 0.014 0.489 0.505 0.514 0.524 0.542 4000 1.001
d_true[520] 0.506 0 0.016 0.476 0.495 0.506 0.517 0.537 4000 1
d_true[521] 0.59 0 0.02 0.551 0.577 0.59 0.604 0.631 4000 1
d_true[522] 0.695 0.001 0.042 0.619 0.665 0.692 0.723 0.786 4000 1
d_true[523] 0.874 0 0.029 0.818 0.854 0.873 0.893 0.934 4000 0.999
d_true[524] 0.948 0.001 0.045 0.867 0.916 0.947 0.977 1.04 4000 1
d_true[525] 0.502 0 0.016 0.472 0.491 0.501 0.512 0.534 4000 1
d_true[526] 0.552 0 0.023 0.508 0.535 0.551 0.567 0.598 4000 1
d_true[527] 0.597 0 0.021 0.557 0.582 0.597 0.611 0.64 4000 1
d_true[528] 0.538 0 0.021 0.5 0.524 0.537 0.552 0.581 4000 1
d_true[529] 0.569 0 0.018 0.533 0.556 0.568 0.581 0.605 4000 1
d_true[530] 0.817 0 0.031 0.757 0.796 0.815 0.837 0.879 4000 1
d_true[531] 1.179 0.001 0.039 1.107 1.152 1.177 1.205 1.259 4000 1
d_true[532] 0.421 0 0.019 0.384 0.407 0.421 0.434 0.461 4000 1.001
d_true[533] 0.826 0.001 0.035 0.761 0.802 0.825 0.847 0.897 4000 0.999
d_true[534] 0.628 0 0.028 0.577 0.608 0.626 0.645 0.688 4000 0.999
d_true[535] 0.909 0.001 0.032 0.849 0.887 0.909 0.931 0.971 4000 1
d_true[536] 1.13 0.001 0.034 1.064 1.107 1.131 1.153 1.197 4000 1.003
d_true[537] 1.262 0.001 0.056 1.158 1.224 1.259 1.297 1.384 4000 1.001
d_true[538] 0.691 0.001 0.042 0.618 0.662 0.688 0.718 0.778 4000 0.999
d_true[539] 0.868 0.001 0.044 0.792 0.837 0.866 0.897 0.96 4000 1
d_true[540] 0.698 0.001 0.046 0.619 0.666 0.694 0.726 0.798 4000 0.999
d_true[541] 0.67 0.001 0.034 0.608 0.647 0.669 0.691 0.741 4000 0.999
d_true[542] 1.303 0.001 0.068 1.184 1.253 1.299 1.346 1.449 4000 1
d_true[543] 0.902 0.001 0.036 0.836 0.877 0.901 0.926 0.976 4000 1
d_true[544] 1.181 0.001 0.038 1.108 1.156 1.18 1.207 1.258 4000 1.001
d_true[545] 0.675 0.001 0.037 0.61 0.65 0.673 0.698 0.754 4000 1
d_true[546] 0.584 0 0.02 0.547 0.57 0.583 0.597 0.624 4000 1.001
d_true[547] 0.107 0.001 0.011 0.086 0.1 0.108 0.115 0.128 203.178 1.015
d_true[548] 0.199 0.001 0.01 0.179 0.192 0.199 0.205 0.218 219.791 1.019
d_true[549] 0.531 0 0.015 0.501 0.52 0.531 0.541 0.561 4000 1
d_true[550] 0.562 0 0.017 0.529 0.55 0.561 0.573 0.597 4000 1
d_true[551] 0.588 0 0.021 0.548 0.574 0.587 0.601 0.631 4000 0.999
d_true[552] 0.862 0 0.027 0.812 0.843 0.862 0.88 0.915 4000 1
d_true[553] 0.962 0.001 0.045 0.88 0.931 0.96 0.991 1.055 4000 1.001
d_true[554] 0.251 0.001 0.011 0.228 0.243 0.251 0.259 0.272 302.503 1.01
d_true[555] 0.356 0 0.013 0.331 0.347 0.356 0.365 0.381 4000 1.005
d_true[556] 0.359 0 0.013 0.334 0.35 0.359 0.367 0.383 4000 1.004
d_true[557] 0.409 0 0.017 0.376 0.397 0.408 0.42 0.444 4000 1
d_true[558] 0.569 0 0.026 0.522 0.55 0.568 0.587 0.623 4000 1
d_true[559] 0.618 0 0.024 0.572 0.601 0.617 0.634 0.668 4000 0.999
d_true[560] 0.573 0 0.019 0.537 0.56 0.573 0.586 0.611 4000 1
d_true[561] 0.661 0.001 0.033 0.601 0.638 0.659 0.683 0.729 4000 1
d_true[562] 0.969 0.001 0.055 0.875 0.93 0.964 1.002 1.094 4000 1
d_true[563] 0.355 0 0.015 0.325 0.344 0.354 0.365 0.386 4000 1.001
d_true[564] 0.555 0 0.017 0.523 0.544 0.555 0.566 0.59 4000 1.001
d_true[565] 1.262 0.001 0.058 1.159 1.223 1.258 1.298 1.391 4000 1
d_true[566] 0.569 0 0.028 0.519 0.55 0.568 0.586 0.63 4000 1
d_true[567] 0.97 0.001 0.055 0.877 0.931 0.965 1.004 1.088 4000 0.999
d_true[568] 0.745 0 0.024 0.697 0.728 0.745 0.762 0.793 4000 1
d_true[569] 0.409 0 0.018 0.374 0.396 0.408 0.421 0.446 4000 1.001
d_true[570] 0.803 0 0.03 0.746 0.781 0.801 0.823 0.866 4000 1
d_true[571] 0.896 0.001 0.034 0.834 0.872 0.895 0.918 0.965 4000 1
d_true[572] 0.581 0 0.031 0.526 0.559 0.579 0.6 0.645 4000 0.999
d_true[573] 0.301 0 0.014 0.274 0.291 0.301 0.31 0.329 4000 1.007
d_true[574] 0.36 0 0.016 0.33 0.349 0.36 0.371 0.393 4000 1.003
d_true[575] 0.526 0 0.015 0.498 0.515 0.525 0.536 0.556 4000 1
d_true[576] 0.418 0 0.019 0.381 0.405 0.418 0.431 0.457 4000 1.001
d_true[577] 0.623 0 0.026 0.576 0.605 0.622 0.64 0.678 4000 1
d_true[578] 0.684 0.001 0.04 0.613 0.655 0.681 0.709 0.773 4000 1
d_true[579] 0.858 0 0.029 0.804 0.838 0.857 0.877 0.916 4000 0.999
d_true[580] 0.595 0 0.021 0.555 0.58 0.594 0.609 0.637 4000 1
d_true[581] 1.18 0.001 0.04 1.106 1.152 1.179 1.205 1.262 4000 1
d_true[582] 1.182 0.001 0.042 1.103 1.152 1.181 1.21 1.272 4000 1
d_true[583] 0.917 0.001 0.037 0.849 0.891 0.915 0.941 0.993 4000 1
d_true[584] 0.121 0.001 0.011 0.1 0.114 0.121 0.129 0.142 205.092 1.018
d_true[585] 0.178 0.001 0.01 0.158 0.171 0.178 0.185 0.198 226.375 1.018
d_true[586] 0.376 0 0.014 0.349 0.367 0.376 0.386 0.404 4000 1.001
d_true[587] 0.513 0 0.018 0.479 0.501 0.512 0.524 0.548 4000 1
d_true[588] 0.606 0 0.024 0.562 0.59 0.605 0.622 0.656 4000 1
d_true[589] 0.677 0.001 0.038 0.611 0.65 0.675 0.701 0.758 4000 1
d_true[590] 1.005 0.001 0.063 0.897 0.961 1.001 1.043 1.147 4000 0.999
d_true[591] 0.134 0.001 0.011 0.113 0.127 0.135 0.142 0.156 218.106 1.018
d_true[592] 0.288 0.001 0.011 0.267 0.28 0.288 0.295 0.309 357.365 1.009
d_true[593] 0.503 0 0.017 0.469 0.491 0.503 0.514 0.537 4000 1
d_true[594] 0.486 0 0.015 0.456 0.475 0.486 0.496 0.517 4000 1
d_true[595] 0.539 0 0.016 0.509 0.528 0.54 0.55 0.571 4000 1
d_true[596] 1.006 0.001 0.064 0.896 0.961 0.999 1.045 1.145 4000 1
d_true[597] 0.669 0.001 0.037 0.604 0.644 0.667 0.692 0.746 4000 1
d_true[598] 0.215 0.001 0.012 0.193 0.208 0.215 0.223 0.238 311.863 1.011
d_true[599] 0.353 0 0.015 0.323 0.343 0.353 0.363 0.385 4000 1.002
d_true[600] 0.591 0 0.02 0.552 0.577 0.591 0.605 0.632 4000 1
d_true[601] 0.426 0 0.021 0.388 0.412 0.425 0.44 0.47 4000 1.001
d_true[602] 0.51 0 0.017 0.477 0.498 0.509 0.521 0.545 4000 1
d_true[603] 0.687 0.001 0.039 0.617 0.658 0.685 0.712 0.77 4000 1
d_true[604] 0.653 0.001 0.034 0.594 0.63 0.651 0.675 0.725 4000 1
d_true[605] 0.653 0.001 0.034 0.594 0.629 0.651 0.673 0.727 4000 1
d_true[606] 0.868 0.001 0.045 0.787 0.837 0.864 0.897 0.961 4000 1
d_true[607] 0.872 0.001 0.047 0.788 0.839 0.868 0.901 0.971 4000 1
d_true[608] 0.953 0.001 0.046 0.869 0.921 0.95 0.982 1.05 4000 1
sigma 0.077 0 0.001 0.074 0.076 0.077 0.077 0.079 161.408 1.031
q_skip[1] 0.102 0 0.013 0.078 0.093 0.101 0.111 0.128 4000 0.999
q_skip[2] 0.191 0 0.017 0.159 0.18 0.191 0.202 0.226 4000 0.999
q_skip[3] 0.25 0 0.018 0.216 0.238 0.25 0.263 0.287 4000 1
q_skip[4] 0.26 0 0.018 0.224 0.247 0.26 0.272 0.296 4000 0.999
q_skip[5] 0.273 0 0.019 0.237 0.26 0.273 0.286 0.311 4000 0.999
q_skip[6] 0.258 0 0.019 0.222 0.246 0.258 0.271 0.296 4000 0.999
q_skip[7] 0.144 0 0.017 0.113 0.133 0.144 0.155 0.179 4000 0.999
q_skip[8] 0.306 0 0.02 0.269 0.293 0.306 0.32 0.346 4000 0.999
q_skip[9] 0.163 0 0.018 0.13 0.15 0.162 0.175 0.198 4000 0.999
q_skip[10] 0.37 0 0.021 0.329 0.356 0.369 0.383 0.412 4000 0.999
q_skip[11] 0.25 0 0.02 0.21 0.237 0.249 0.263 0.291 4000 1
q_skip[12] 0.391 0 0.02 0.352 0.377 0.391 0.405 0.43 4000 0.999
q_skip[13] 0.384 0 0.021 0.344 0.37 0.383 0.398 0.425 4000 0.999
q_skip[14] 0.392 0 0.02 0.353 0.379 0.392 0.405 0.433 4000 0.999
q_skip[15] 0.391 0 0.021 0.351 0.377 0.391 0.405 0.431 4000 0.999
q_skip[16] 0.432 0 0.022 0.388 0.416 0.432 0.447 0.474 4000 0.999
q_skip[17] 0.249 0 0.021 0.209 0.235 0.248 0.263 0.29 4000 1
q_skip[18] 0.45 0 0.021 0.41 0.436 0.45 0.465 0.492 4000 1
q_skip[19] 0.463 0 0.021 0.42 0.448 0.463 0.477 0.503 4000 1
q_skip[20] 0.286 0 0.021 0.246 0.272 0.285 0.299 0.328 4000 1
q_skip[21] 0.455 0 0.022 0.412 0.44 0.454 0.47 0.497 4000 1
q_skip[22] 0.463 0 0.021 0.422 0.449 0.463 0.477 0.506 4000 1
q_skip[23] 0.473 0 0.022 0.43 0.457 0.473 0.487 0.515 4000 0.999
q_skip[24] 0.489 0 0.021 0.448 0.475 0.489 0.503 0.531 4000 1
q_skip[25] 0.081 0 0.014 0.054 0.071 0.08 0.09 0.112 4000 1
q_skip[26] 0.397 0 0.023 0.352 0.381 0.397 0.412 0.442 4000 1
q_skip[27] 0.503 0 0.021 0.461 0.489 0.503 0.517 0.545 4000 1
q_skip[28] 0.518 0 0.021 0.476 0.503 0.517 0.532 0.56 4000 0.999
q_skip[29] 0.421 0 0.023 0.378 0.406 0.421 0.437 0.466 4000 1
q_skip[30] 0.422 0 0.023 0.377 0.406 0.422 0.437 0.468 4000 1
q_skip[31] 0.356 0 0.023 0.311 0.34 0.356 0.372 0.403 4000 0.999
q_skip[32] 0.465 0 0.023 0.42 0.449 0.465 0.481 0.511 4000 1
q_skip[33] 0.134 0 0.019 0.099 0.121 0.134 0.146 0.175 4000 0.999
q_skip[34] 0.446 0 0.023 0.402 0.43 0.446 0.461 0.49 4000 0.999
q_skip[35] 0.527 0 0.021 0.486 0.512 0.527 0.542 0.568 4000 1
q_skip[36] 0.128 0 0.018 0.094 0.115 0.127 0.139 0.165 4000 0.999
q_skip[37] 0.077 0 0.015 0.05 0.066 0.077 0.087 0.109 4000 1
q_skip[38] 0.45 0 0.023 0.405 0.434 0.45 0.467 0.495 4000 1
q_skip[39] 0.374 0 0.023 0.331 0.359 0.374 0.39 0.42 4000 1
q_skip[40] 0.017 0 0.007 0.005 0.011 0.016 0.021 0.034 4000 0.999
q_skip[41] 0.394 0 0.023 0.349 0.379 0.394 0.409 0.439 4000 0.999
q_skip[42] 0.561 0 0.021 0.52 0.547 0.561 0.575 0.602 4000 1
q_skip[43] 0.556 0 0.021 0.514 0.542 0.556 0.57 0.6 4000 0.999
q_skip[44] 0.42 0 0.025 0.373 0.402 0.42 0.436 0.469 4000 1
q_skip[45] 0.422 0 0.023 0.377 0.406 0.423 0.438 0.468 4000 0.999
q_skip[46] 0.484 0 0.023 0.439 0.468 0.484 0.5 0.529 4000 0.999
q_skip[47] 0.485 0 0.022 0.441 0.471 0.485 0.5 0.529 4000 1
q_skip[48] 0.545 0 0.021 0.504 0.532 0.545 0.56 0.585 4000 0.999
q_skip[49] 0.47 0 0.024 0.425 0.454 0.47 0.486 0.516 4000 1
q_skip[50] 0.548 0 0.022 0.505 0.533 0.548 0.563 0.59 4000 0.999
q_skip[51] 0.411 0 0.024 0.366 0.395 0.411 0.427 0.459 4000 0.999
q_skip[52] 0.482 0 0.023 0.436 0.467 0.482 0.498 0.528 4000 0.999
q_skip[53] 0.486 0 0.024 0.44 0.47 0.486 0.502 0.532 4000 1
q_skip[54] 0.583 0 0.021 0.541 0.569 0.583 0.597 0.623 4000 1
q_skip[55] 0.084 0 0.016 0.055 0.073 0.083 0.095 0.118 4000 0.999
q_skip[56] 0.415 0 0.023 0.37 0.399 0.415 0.431 0.461 4000 0.999
q_skip[57] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[58] 0.43 0 0.023 0.384 0.414 0.43 0.445 0.476 4000 1
q_skip[59] 0.619 0 0.02 0.579 0.605 0.619 0.633 0.658 4000 0.999
q_skip[60] 0.449 0 0.024 0.404 0.433 0.449 0.466 0.496 4000 1
q_skip[61] 0.185 0 0.021 0.144 0.17 0.184 0.199 0.227 4000 0.999
q_skip[62] 0.605 0 0.02 0.564 0.592 0.605 0.618 0.645 4000 0.999
q_skip[63] 0.207 0 0.022 0.165 0.192 0.207 0.222 0.251 4000 1
q_skip[64] 0.185 0 0.021 0.146 0.171 0.185 0.199 0.228 4000 0.999
q_skip[65] 0.499 0 0.024 0.451 0.483 0.499 0.516 0.547 4000 1
q_skip[66] 0.469 0 0.024 0.423 0.452 0.469 0.485 0.514 4000 0.999
q_skip[67] 0.51 0 0.024 0.463 0.494 0.51 0.527 0.557 4000 0.999
q_skip[68] 0.653 0 0.02 0.614 0.64 0.653 0.667 0.69 4000 0.999
q_skip[69] 0.491 0 0.023 0.447 0.475 0.491 0.506 0.535 4000 0.999
q_skip[70] 0.501 0 0.025 0.452 0.485 0.501 0.518 0.55 4000 1
q_skip[71] 0.525 0 0.024 0.476 0.509 0.525 0.54 0.573 4000 0.999
q_skip[72] 0.656 0 0.02 0.615 0.642 0.656 0.671 0.694 4000 0.999
q_skip[73] 0.596 0 0.023 0.551 0.581 0.596 0.612 0.641 4000 1
q_skip[74] 0.593 0 0.022 0.549 0.578 0.592 0.608 0.637 4000 1
q_skip[75] 0.073 0 0.014 0.048 0.063 0.073 0.083 0.104 4000 0.999
q_skip[76] 0.658 0 0.02 0.619 0.644 0.658 0.672 0.695 4000 0.999
q_skip[77] 0.269 0 0.023 0.224 0.253 0.268 0.284 0.317 4000 1
q_skip[78] 0.665 0 0.02 0.626 0.651 0.665 0.678 0.703 4000 0.999
q_skip[79] 0.654 0 0.02 0.616 0.64 0.654 0.668 0.692 4000 1
q_skip[80] 0.668 0 0.02 0.628 0.654 0.668 0.681 0.707 4000 0.999
q_skip[81] 0.521 0 0.024 0.472 0.505 0.521 0.537 0.567 4000 0.999
q_skip[82] 0.671 0 0.02 0.631 0.658 0.671 0.684 0.71 4000 0.999
q_skip[83] 0.664 0 0.02 0.624 0.651 0.664 0.677 0.703 4000 0.999
q_skip[84] 0.164 0 0.022 0.123 0.149 0.164 0.179 0.209 4000 1
q_skip[85] 0.268 0 0.023 0.223 0.252 0.268 0.283 0.314 4000 1
q_skip[86] 0.217 0 0.022 0.174 0.201 0.216 0.231 0.261 4000 0.999
q_skip[87] 0.004 0 0.004 0 0.001 0.003 0.005 0.014 4000 0.999
q_skip[88] 0.121 0 0.019 0.086 0.108 0.12 0.133 0.161 4000 1
q_skip[89] 0.675 0 0.019 0.636 0.662 0.675 0.688 0.713 4000 1
q_skip[90] 0.527 0 0.024 0.48 0.51 0.527 0.543 0.573 4000 1
q_skip[91] 0.673 0 0.019 0.635 0.66 0.673 0.686 0.709 4000 0.999
q_skip[92] 0.242 0 0.023 0.199 0.227 0.242 0.258 0.288 4000 0.999
q_skip[93] 0.537 0 0.024 0.488 0.522 0.537 0.553 0.586 4000 1
q_skip[94] 0.56 0 0.024 0.513 0.544 0.561 0.576 0.607 4000 0.999
q_skip[95] 0.566 0 0.024 0.519 0.55 0.566 0.582 0.613 4000 1
q_skip[96] 0.624 0 0.022 0.581 0.608 0.624 0.639 0.666 4000 0.999
q_skip[97] 0.587 0 0.024 0.539 0.572 0.587 0.603 0.634 4000 0.999
q_skip[98] 0.665 0 0.021 0.624 0.652 0.666 0.679 0.706 4000 0.999
q_skip[99] 0.56 0 0.024 0.514 0.545 0.56 0.576 0.607 4000 1
q_skip[100] 0.111 0 0.018 0.079 0.099 0.11 0.124 0.149 4000 0.999
q_skip[101] 0.691 0 0.019 0.653 0.678 0.691 0.704 0.729 4000 0.999
q_skip[102] 0.641 0 0.022 0.596 0.625 0.641 0.656 0.683 4000 1
q_skip[103] 0.564 0 0.024 0.517 0.548 0.564 0.58 0.61 4000 0.999
q_skip[104] 0.67 0 0.021 0.629 0.656 0.67 0.685 0.712 4000 0.999
q_skip[105] 0.562 0 0.024 0.516 0.546 0.562 0.578 0.608 4000 1
q_skip[106] 0.701 0 0.02 0.662 0.689 0.702 0.714 0.739 4000 1
q_skip[107] 0.655 0 0.022 0.612 0.64 0.655 0.67 0.697 4000 1
q_skip[108] 0.574 0 0.023 0.529 0.559 0.574 0.589 0.619 4000 0.999
q_skip[109] 0.294 0 0.025 0.246 0.277 0.294 0.311 0.343 4000 0.999
q_skip[110] 0.617 0 0.024 0.568 0.601 0.616 0.633 0.663 4000 0.999
q_skip[111] 0.29 0 0.025 0.244 0.273 0.289 0.308 0.34 4000 1
q_skip[112] 0.296 0 0.025 0.25 0.279 0.296 0.313 0.347 4000 0.999
q_skip[113] 0.581 0 0.024 0.535 0.565 0.581 0.597 0.627 4000 1
q_skip[114] 0.582 0 0.023 0.537 0.566 0.582 0.598 0.627 4000 0.999
q_skip[115] 0.586 0 0.024 0.54 0.57 0.586 0.602 0.632 4000 0.999
q_skip[116] 0.166 0 0.02 0.129 0.152 0.166 0.18 0.207 4000 0.999
q_skip[117] 0.333 0 0.025 0.285 0.316 0.333 0.35 0.383 4000 1
q_skip[118] 0.212 0 0.024 0.166 0.195 0.211 0.228 0.26 4000 1
q_skip[119] 0.736 0 0.019 0.699 0.723 0.736 0.748 0.772 4000 0.999
q_skip[120] 0.68 0 0.021 0.639 0.666 0.68 0.695 0.719 4000 1
q_skip[121] 0.606 0 0.022 0.56 0.591 0.606 0.621 0.65 4000 1
q_skip[122] 0.737 0 0.018 0.701 0.725 0.737 0.75 0.77 4000 1
q_skip[123] 0.168 0 0.021 0.129 0.153 0.167 0.182 0.21 4000 1
q_skip[124] 0.433 0 0.025 0.385 0.416 0.433 0.45 0.482 4000 0.999
q_skip[125] 0.606 0 0.023 0.56 0.591 0.606 0.622 0.65 4000 0.999
q_skip[126] 0.689 0 0.022 0.646 0.675 0.69 0.704 0.732 4000 1
q_skip[127] 0.14 0 0.019 0.104 0.126 0.139 0.153 0.179 4000 0.999
q_skip[128] 0.739 0 0.019 0.701 0.726 0.739 0.752 0.775 4000 0.999
q_skip[129] 0.382 0 0.026 0.332 0.364 0.381 0.399 0.435 4000 0.999
q_skip[130] 0.374 0 0.026 0.324 0.357 0.374 0.392 0.426 4000 1
q_skip[131] 0.411 0 0.026 0.36 0.393 0.411 0.428 0.462 4000 0.999
q_skip[132] 0.086 0 0.016 0.057 0.075 0.085 0.097 0.12 4000 1
q_skip[133] 0.247 0 0.023 0.204 0.232 0.247 0.263 0.292 4000 1
q_skip[134] 0.148 0 0.022 0.107 0.133 0.147 0.162 0.193 4000 1
q_skip[135] 0.747 0 0.018 0.71 0.735 0.747 0.759 0.781 4000 0.999
q_skip[136] 0.145 0 0.021 0.107 0.131 0.144 0.158 0.188 4000 0.999
q_skip[137] 0.633 0 0.022 0.588 0.618 0.634 0.648 0.676 4000 0.999
q_skip[138] 0.236 0 0.025 0.188 0.219 0.235 0.253 0.288 4000 1
q_skip[139] 0.19 0 0.021 0.151 0.175 0.19 0.205 0.234 4000 0.999
q_skip[140] 0.411 0 0.026 0.359 0.393 0.41 0.428 0.462 4000 1
q_skip[141] 0.715 0 0.021 0.671 0.701 0.716 0.73 0.756 4000 1
q_skip[142] 0.724 0 0.021 0.684 0.71 0.725 0.739 0.765 4000 0.999
q_skip[143] 0.355 0 0.026 0.304 0.336 0.355 0.372 0.407 4000 0.999
q_skip[144] 0.139 0 0.02 0.101 0.125 0.138 0.152 0.182 4000 0.999
q_skip[145] 0.769 0 0.018 0.733 0.757 0.769 0.78 0.803 4000 1
q_skip[146] 0.157 0 0.021 0.118 0.143 0.156 0.17 0.2 4000 0.999
q_skip[147] 0.762 0 0.018 0.726 0.75 0.763 0.775 0.797 4000 0.999
q_skip[148] 0.4 0 0.026 0.35 0.382 0.4 0.418 0.451 4000 1
q_skip[149] 0.772 0 0.017 0.737 0.76 0.772 0.783 0.805 4000 0.999
q_skip[150] 0.029 0 0.01 0.012 0.021 0.028 0.035 0.05 4000 1
q_skip[151] 0.655 0 0.022 0.612 0.64 0.655 0.67 0.697 4000 1
q_skip[152] 0.091 0 0.018 0.059 0.078 0.09 0.102 0.128 4000 0.999
q_skip[153] 0.23 0 0.027 0.179 0.211 0.229 0.247 0.284 4000 1
q_skip[154] 0.453 0 0.027 0.402 0.434 0.453 0.472 0.505 4000 0.999
q_skip[155] 0.135 0 0.02 0.098 0.121 0.135 0.148 0.177 4000 0.999
q_skip[156] 0.741 0 0.02 0.701 0.728 0.741 0.755 0.779 4000 1
q_skip[157] 0.698 0 0.022 0.652 0.683 0.698 0.713 0.74 4000 0.999
q_skip[158] 0.776 0 0.018 0.741 0.764 0.776 0.788 0.809 4000 1
q_skip[159] 0.665 0 0.023 0.62 0.649 0.665 0.681 0.709 4000 0.999
q_skip[160] 0.513 0 0.025 0.464 0.496 0.513 0.53 0.561 4000 1
q_skip[161] 0.242 0 0.023 0.199 0.226 0.242 0.258 0.288 4000 0.999
q_skip[162] 0.199 0 0.022 0.158 0.184 0.198 0.214 0.242 4000 1
q_skip[163] 0.264 0 0.028 0.212 0.246 0.264 0.282 0.322 4000 0.999
q_skip[164] 0.745 0 0.02 0.705 0.732 0.746 0.759 0.783 4000 0.999
q_skip[165] 0.188 0 0.022 0.146 0.173 0.188 0.203 0.234 4000 1
q_skip[166] 0.706 0 0.022 0.663 0.691 0.707 0.721 0.75 4000 0.999
q_skip[167] 0.793 0 0.017 0.759 0.782 0.794 0.805 0.826 4000 0.999
q_skip[168] 0.766 0 0.019 0.728 0.753 0.766 0.778 0.802 4000 0.999
q_skip[169] 0.018 0 0.009 0.005 0.011 0.016 0.023 0.038 4000 0.999
q_skip[170] 0.425 0 0.026 0.374 0.407 0.425 0.443 0.477 4000 0.999
q_skip[171] 0.325 0 0.029 0.272 0.305 0.324 0.344 0.383 4000 1
q_skip[172] 0.319 0 0.028 0.265 0.301 0.319 0.337 0.374 4000 1
q_skip[173] 0.679 0 0.021 0.637 0.665 0.679 0.694 0.72 4000 1
q_skip[174] 0.687 0 0.022 0.644 0.673 0.687 0.702 0.73 4000 0.999
q_skip[175] 0.013 0 0.006 0.003 0.008 0.012 0.016 0.028 4000 0.999
q_skip[176] 0.011 0 0.005 0.003 0.007 0.01 0.014 0.023 4000 1
q_skip[177] 0.697 0 0.021 0.655 0.683 0.697 0.712 0.738 4000 0.999
q_skip[178] 0.004 0 0.004 0 0.001 0.003 0.005 0.014 4000 1
q_skip[179] 0.213 0 0.023 0.169 0.197 0.212 0.228 0.26 4000 1
q_skip[180] 0.265 0 0.025 0.217 0.248 0.264 0.282 0.316 4000 0.999
q_skip[181] 0.003 0 0.003 0 0.001 0.002 0.004 0.012 4000 0.999
q_skip[182] 0.433 0 0.026 0.384 0.415 0.433 0.451 0.485 4000 0.999
q_skip[183] 0.041 0 0.012 0.02 0.032 0.04 0.048 0.069 4000 1
q_skip[184] 0.233 0 0.024 0.188 0.216 0.232 0.249 0.281 4000 0.999
q_skip[185] 0.768 0 0.02 0.729 0.755 0.769 0.782 0.805 4000 1
q_skip[186] 0.8 0 0.017 0.765 0.788 0.8 0.811 0.832 4000 1
q_skip[187] 0.272 0 0.024 0.227 0.255 0.272 0.288 0.319 4000 1
q_skip[188] 0.117 0 0.02 0.08 0.103 0.116 0.13 0.159 4000 0.999
q_skip[189] 0.814 0 0.016 0.781 0.803 0.814 0.826 0.846 4000 1
q_skip[190] 0.072 0 0.015 0.045 0.062 0.071 0.081 0.104 4000 1
q_skip[191] 0.063 0 0.014 0.038 0.053 0.063 0.072 0.094 4000 0.999
q_skip[192] 0.041 0 0.012 0.021 0.033 0.04 0.049 0.067 4000 0.999
q_skip[193] 0.259 0 0.026 0.209 0.241 0.259 0.276 0.312 4000 0.999
q_skip[194] 0.78 0 0.02 0.739 0.767 0.78 0.794 0.818 4000 0.999
q_skip[195] 0.785 0 0.019 0.748 0.773 0.786 0.798 0.82 4000 0.999
q_skip[196] 0.294 0 0.029 0.24 0.274 0.294 0.313 0.352 4000 0.999
q_skip[197] 0.824 0 0.015 0.792 0.814 0.825 0.835 0.854 4000 0.999
q_skip[198] 0.305 0 0.028 0.251 0.286 0.304 0.324 0.362 4000 0.999
q_skip[199] 0.029 0 0.01 0.012 0.021 0.028 0.035 0.052 4000 0.999
q_skip[200] 0.825 0 0.016 0.794 0.815 0.825 0.836 0.854 4000 0.999
q_skip[201] 0.823 0 0.016 0.79 0.812 0.823 0.834 0.853 4000 0.999
q_skip[202] 0.812 0 0.017 0.779 0.801 0.812 0.824 0.844 4000 0.999
q_skip[203] 0.315 0 0.029 0.259 0.294 0.314 0.334 0.373 4000 0.999
q_skip[204] 0.256 0 0.025 0.209 0.238 0.255 0.274 0.306 4000 0.999
q_skip[205] 0.244 0 0.024 0.198 0.227 0.243 0.26 0.293 4000 0.999
q_skip[206] 0.351 0 0.029 0.297 0.331 0.352 0.371 0.408 4000 0.999
q_skip[207] 0.179 0 0.024 0.136 0.163 0.178 0.194 0.228 4000 1
q_skip[208] 0.748 0 0.022 0.703 0.734 0.749 0.763 0.789 4000 0.999
q_skip[209] 0.446 0 0.027 0.395 0.428 0.447 0.464 0.498 4000 0.999
q_skip[210] 0.041 0 0.012 0.021 0.033 0.04 0.049 0.067 4000 1
q_skip[211] 0.719 0 0.021 0.678 0.705 0.719 0.734 0.758 4000 0.999
q_skip[212] 0.276 0 0.025 0.227 0.259 0.275 0.292 0.327 4000 1
q_skip[213] 0.278 0 0.025 0.231 0.261 0.277 0.295 0.329 4000 0.999
q_skip[214] 0.28 0 0.026 0.23 0.263 0.279 0.297 0.332 4000 0.999
q_skip[215] 0.291 0 0.026 0.24 0.273 0.29 0.308 0.341 4000 1
q_skip[216] 0.319 0 0.029 0.264 0.299 0.318 0.338 0.377 4000 0.999
q_skip[217] 0.386 0 0.03 0.329 0.365 0.385 0.406 0.443 4000 0.999
q_skip[218] 0.825 0 0.016 0.793 0.815 0.826 0.836 0.855 4000 0.999
q_skip[219] 0.725 0 0.021 0.682 0.711 0.726 0.74 0.766 4000 0.999
q_skip[220] 0.761 0 0.021 0.72 0.748 0.762 0.776 0.802 4000 0.999
q_skip[221] 0.83 0 0.015 0.798 0.82 0.83 0.84 0.859 4000 0.999
q_skip[222] 0.72 0 0.021 0.678 0.706 0.721 0.735 0.761 4000 1
q_skip[223] 0.285 0 0.025 0.237 0.268 0.285 0.301 0.335 4000 0.999
q_skip[224] 0.824 0 0.016 0.791 0.813 0.824 0.835 0.855 4000 0.999
q_skip[225] 0.488 0 0.026 0.434 0.471 0.488 0.506 0.54 4000 1
q_skip[226] 0.829 0 0.016 0.797 0.819 0.83 0.84 0.859 4000 0.999
q_skip[227] 0.47 0 0.027 0.419 0.452 0.47 0.488 0.523 4000 1
q_skip[228] 0.831 0 0.016 0.8 0.821 0.831 0.842 0.86 4000 0.999
q_skip[229] 0.344 0 0.029 0.287 0.324 0.343 0.364 0.402 4000 1
q_skip[230] 0.02 0 0.008 0.008 0.014 0.019 0.025 0.039 4000 0.999
q_skip[231] 0.799 0 0.019 0.761 0.786 0.799 0.812 0.834 4000 0.999
q_skip[232] 0.079 0 0.016 0.05 0.067 0.078 0.089 0.113 4000 0.999
q_skip[233] 0.003 0 0.003 0 0.001 0.002 0.005 0.012 4000 0.999
q_skip[234] 0.591 0 0.025 0.541 0.574 0.591 0.609 0.64 4000 1
q_skip[235] 0.012 0 0.007 0.003 0.007 0.011 0.015 0.028 4000 1
q_skip[236] 0.774 0 0.02 0.733 0.761 0.775 0.788 0.812 4000 0.999
q_skip[237] 0.004 0 0.004 0 0.001 0.003 0.005 0.014 4000 0.999
q_skip[238] 0.234 0 0.026 0.185 0.215 0.233 0.251 0.287 4000 1
q_skip[239] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[240] 0.843 0 0.015 0.812 0.833 0.843 0.853 0.871 4000 0.999
q_skip[241] 0.28 0 0.026 0.231 0.262 0.28 0.297 0.332 4000 0.999
q_skip[242] 0.73 0 0.02 0.69 0.718 0.731 0.744 0.77 4000 1
q_skip[243] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[244] 0.739 0 0.021 0.696 0.725 0.739 0.753 0.777 4000 0.999
q_skip[245] 0.162 0 0.022 0.121 0.146 0.161 0.177 0.207 4000 0.999
q_skip[246] 0.81 0 0.018 0.772 0.799 0.81 0.822 0.845 4000 1
q_skip[247] 0.073 0 0.018 0.043 0.061 0.072 0.085 0.112 4000 0.999
q_skip[248] 0.807 0 0.018 0.77 0.795 0.807 0.819 0.841 4000 0.999
q_skip[249] 0.131 0 0.021 0.093 0.117 0.131 0.145 0.174 4000 0.999
q_skip[250] 0.478 0 0.027 0.424 0.46 0.477 0.496 0.53 4000 1
q_skip[251] 0.773 0 0.02 0.732 0.759 0.773 0.787 0.812 4000 0.999
q_skip[252] 0.745 0 0.02 0.705 0.731 0.745 0.758 0.783 4000 1
q_skip[253] 0.495 0 0.026 0.443 0.477 0.495 0.513 0.546 4000 1.001
q_skip[254] 0.173 0 0.024 0.129 0.157 0.173 0.189 0.223 4000 1
q_skip[255] 0.838 0 0.016 0.805 0.828 0.839 0.849 0.868 4000 1
q_skip[256] 0.294 0 0.026 0.242 0.277 0.294 0.312 0.347 4000 0.999
q_skip[257] 0.166 0 0.023 0.121 0.15 0.164 0.18 0.215 4000 0.999
q_skip[258] 0.817 0 0.017 0.782 0.805 0.818 0.829 0.85 4000 1
q_skip[259] 0.003 0 0.003 0 0.001 0.002 0.005 0.012 4000 0.999
q_skip[260] 0.506 0 0.027 0.454 0.488 0.506 0.524 0.56 4000 1
q_skip[261] 0.783 0 0.02 0.742 0.769 0.783 0.797 0.822 4000 0.999
q_skip[262] 0.746 0 0.02 0.706 0.733 0.746 0.76 0.784 4000 0.999
q_skip[263] 0.744 0 0.02 0.703 0.731 0.744 0.758 0.783 4000 1
q_skip[264] 0.361 0 0.029 0.306 0.342 0.361 0.381 0.419 4000 0.999
q_skip[265] 0.183 0 0.025 0.136 0.166 0.182 0.199 0.233 4000 0.999
q_skip[266] 0.501 0 0.029 0.444 0.481 0.5 0.52 0.558 4000 0.999
q_skip[267] 0.444 0 0.03 0.387 0.424 0.444 0.464 0.502 4000 0.999
q_skip[268] 0.048 0 0.013 0.025 0.038 0.047 0.056 0.077 4000 1
q_skip[269] 0.852 0 0.014 0.824 0.843 0.853 0.862 0.879 4000 0.999
q_skip[270] 0.086 0 0.016 0.058 0.074 0.085 0.097 0.12 4000 0.999
q_skip[271] 0.071 0 0.016 0.042 0.059 0.07 0.08 0.104 4000 0.999
q_skip[272] 0.027 0 0.01 0.011 0.02 0.026 0.033 0.05 4000 0.999
q_skip[273] 0.822 0 0.018 0.785 0.81 0.822 0.834 0.855 4000 0.999
q_skip[274] 0.218 0 0.025 0.17 0.2 0.218 0.234 0.269 4000 0.999
q_skip[275] 0.504 0 0.027 0.45 0.486 0.504 0.522 0.56 4000 0.999
q_skip[276] 0.787 0 0.02 0.747 0.774 0.788 0.801 0.825 4000 1
q_skip[277] 0.834 0 0.017 0.798 0.823 0.835 0.846 0.867 4000 0.999
q_skip[278] 0.021 0 0.008 0.008 0.015 0.02 0.026 0.04 4000 1
q_skip[279] 0.035 0 0.012 0.016 0.027 0.034 0.043 0.062 4000 1
q_skip[280] 0.513 0 0.027 0.459 0.495 0.512 0.531 0.566 4000 0.999
q_skip[281] 0.83 0 0.017 0.795 0.818 0.83 0.841 0.862 4000 0.999
q_skip[282] 0.362 0 0.028 0.308 0.343 0.362 0.381 0.419 4000 0.999
q_skip[283] 0.312 0 0.027 0.261 0.293 0.312 0.33 0.366 4000 1
q_skip[284] 0.756 0 0.021 0.714 0.742 0.756 0.771 0.796 4000 1
q_skip[285] 0.027 0 0.01 0.011 0.02 0.026 0.033 0.05 4000 0.999
q_skip[286] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[287] 0.012 0 0.007 0.003 0.007 0.011 0.016 0.028 4000 0.999
q_skip[288] 0.058 0 0.015 0.033 0.047 0.056 0.067 0.089 4000 1
q_skip[289] 0.525 0 0.027 0.473 0.507 0.525 0.544 0.577 4000 0.999
q_skip[290] 0.388 0 0.029 0.332 0.369 0.388 0.407 0.446 4000 0.999
q_skip[291] 0.045 0 0.013 0.024 0.036 0.044 0.053 0.075 4000 1
q_skip[292] 0.761 0 0.02 0.722 0.748 0.762 0.775 0.8 4000 0.999
q_skip[293] 0.789 0 0.018 0.752 0.777 0.79 0.802 0.824 4000 0.999
q_skip[294] 0.763 0 0.02 0.721 0.749 0.763 0.777 0.802 4000 1
q_skip[295] 0.769 0 0.021 0.727 0.755 0.769 0.783 0.807 4000 0.999
q_skip[296] 0.765 0 0.02 0.726 0.752 0.765 0.779 0.803 4000 1
q_skip[297] 0.104 0 0.019 0.07 0.091 0.103 0.116 0.144 4000 1
q_skip[298] 0.225 0 0.026 0.176 0.207 0.224 0.242 0.278 4000 0.999
q_skip[299] 0.249 0 0.026 0.2 0.231 0.249 0.266 0.302 4000 1
q_skip[300] 0.368 0 0.031 0.311 0.348 0.368 0.389 0.428 4000 0.999
q_skip[301] 0.008 0 0.006 0.001 0.004 0.007 0.011 0.023 4000 1
q_skip[302] 0.229 0 0.026 0.179 0.211 0.228 0.246 0.281 4000 1
q_skip[303] 0.344 0 0.026 0.294 0.326 0.344 0.362 0.398 4000 0.999
q_skip[304] 0.841 0 0.017 0.806 0.83 0.842 0.853 0.873 4000 1
q_skip[305] 0.771 0 0.02 0.733 0.758 0.772 0.785 0.808 4000 1
q_skip[306] 0.848 0 0.016 0.815 0.837 0.848 0.86 0.878 4000 1
q_skip[307] 0.091 0 0.017 0.061 0.079 0.09 0.102 0.128 4000 0.999
q_skip[308] 0.366 0 0.026 0.315 0.349 0.365 0.383 0.418 4000 0.999
q_skip[309] 0.151 0 0.022 0.111 0.136 0.151 0.165 0.198 4000 1
q_skip[310] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[311] 0.866 0 0.015 0.836 0.856 0.866 0.877 0.894 4000 1
q_skip[312] 0.778 0 0.019 0.737 0.764 0.778 0.791 0.814 4000 0.999
q_skip[313] 0.003 0 0.003 0 0.001 0.002 0.005 0.013 4000 1
q_skip[314] 0.872 0 0.013 0.844 0.863 0.872 0.881 0.898 4000 1
q_skip[315] 0.871 0 0.013 0.842 0.862 0.871 0.88 0.896 4000 0.999
q_skip[316] 0.32 0 0.026 0.27 0.302 0.32 0.338 0.372 4000 0.999
q_skip[317] 0.332 0 0.027 0.28 0.313 0.332 0.349 0.386 4000 0.999
q_skip[318] 0.209 0 0.026 0.161 0.19 0.208 0.226 0.261 4000 0.999
q_skip[319] 0.203 0 0.025 0.158 0.186 0.203 0.22 0.253 4000 0.999
q_skip[320] 0.221 0 0.025 0.172 0.204 0.22 0.236 0.273 4000 0.999
q_skip[321] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[322] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 0.999
q_skip[323] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[324] 0.028 0 0.01 0.012 0.021 0.026 0.035 0.052 4000 0.999
q_skip[325] 0.344 0 0.026 0.293 0.326 0.343 0.361 0.395 4000 0.999
q_skip[326] 0.199 0 0.026 0.15 0.182 0.198 0.216 0.251 4000 1
q_skip[327] 0.431 0 0.031 0.372 0.41 0.43 0.452 0.491 4000 0.999
q_skip[328] 0.017 0 0.008 0.005 0.011 0.015 0.021 0.036 4000 1
q_skip[329] 0.539 0 0.027 0.489 0.52 0.539 0.558 0.59 4000 1
q_skip[330] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[331] 0.196 0 0.025 0.148 0.179 0.196 0.213 0.248 4000 1
q_skip[332] 0.003 0 0.003 0 0.001 0.002 0.004 0.009 4000 1
q_skip[333] 0.779 0 0.02 0.74 0.765 0.779 0.793 0.816 4000 0.999
q_skip[334] 0.817 0 0.018 0.78 0.805 0.818 0.829 0.852 4000 0.999
q_skip[335] 0.391 0 0.028 0.336 0.373 0.391 0.41 0.446 4000 0.999
q_skip[336] 0.846 0 0.017 0.812 0.835 0.847 0.858 0.878 4000 0.999
q_skip[337] 0.841 0 0.018 0.803 0.829 0.842 0.853 0.874 4000 1
q_skip[338] 0.003 0 0.003 0 0.001 0.002 0.005 0.013 4000 0.999
q_skip[339] 0.338 0 0.026 0.288 0.321 0.338 0.356 0.392 4000 0.999
q_skip[340] 0.213 0 0.026 0.165 0.195 0.213 0.231 0.267 4000 1
q_skip[341] 0.781 0 0.019 0.742 0.768 0.781 0.794 0.818 4000 0.999
q_skip[342] 0.004 0 0.004 0 0.001 0.003 0.005 0.013 4000 1
q_skip[343] 0.344 0 0.027 0.293 0.327 0.345 0.362 0.396 4000 0.999
q_skip[344] 0.351 0 0.026 0.301 0.333 0.35 0.368 0.403 4000 0.999
q_skip[345] 0.235 0 0.026 0.187 0.216 0.234 0.252 0.287 4000 0.999
q_skip[346] 0.405 0 0.031 0.347 0.384 0.405 0.426 0.466 4000 1
q_skip[347] 0.563 0 0.026 0.511 0.546 0.564 0.581 0.615 4000 0.999
q_skip[348] 0.538 0 0.027 0.485 0.52 0.538 0.556 0.592 4000 0.999
q_skip[349] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 0.999
q_skip[350] 0.548 0 0.027 0.495 0.529 0.548 0.566 0.6 4000 1
q_skip[351] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[352] 0.877 0 0.014 0.85 0.869 0.878 0.887 0.902 4000 1
q_skip[353] 0.2 0 0.026 0.15 0.181 0.199 0.217 0.252 4000 0.999
q_skip[354] 0.359 0 0.027 0.309 0.341 0.358 0.377 0.413 4000 1
q_skip[355] 0.26 0 0.027 0.208 0.241 0.259 0.278 0.314 4000 0.999
q_skip[356] 0.132 0 0.02 0.095 0.118 0.131 0.145 0.174 4000 0.999
q_skip[357] 0.02 0 0.008 0.007 0.014 0.019 0.025 0.04 4000 1
q_skip[358] 0.02 0 0.008 0.008 0.014 0.019 0.025 0.039 4000 1
q_skip[359] 0.138 0 0.021 0.1 0.123 0.138 0.152 0.183 4000 1
q_skip[360] 0.076 0 0.016 0.048 0.065 0.075 0.087 0.11 4000 0.999
q_skip[361] 0.02 0 0.008 0.008 0.014 0.019 0.025 0.04 4000 0.999
q_skip[362] 0.792 0 0.019 0.753 0.779 0.793 0.805 0.829 4000 0.999
q_skip[363] 0.579 0 0.026 0.528 0.562 0.579 0.597 0.629 4000 1
q_skip[364] 0.859 0 0.016 0.826 0.848 0.859 0.869 0.889 4000 1
q_skip[365] 0.052 0 0.014 0.029 0.042 0.051 0.061 0.082 4000 0.999
q_skip[366] 0.233 0 0.026 0.182 0.214 0.232 0.251 0.286 4000 1
q_skip[367] 0.152 0 0.021 0.112 0.137 0.151 0.166 0.195 4000 0.999
q_skip[368] 0.052 0 0.014 0.028 0.041 0.05 0.06 0.082 4000 1
q_skip[369] 0.229 0 0.027 0.178 0.21 0.228 0.247 0.285 4000 0.999
q_skip[370] 0.02 0 0.008 0.008 0.014 0.019 0.025 0.038 4000 0.999
q_skip[371] 0.794 0 0.019 0.755 0.782 0.795 0.807 0.83 4000 0.999
q_skip[372] 0.457 0 0.03 0.399 0.437 0.457 0.477 0.515 4000 1
q_skip[373] 0.796 0 0.019 0.758 0.783 0.796 0.809 0.833 4000 0.999
q_skip[374] 0.282 0 0.026 0.232 0.264 0.282 0.3 0.334 4000 0.999
q_skip[375] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1.001
q_skip[376] 0.436 0 0.03 0.379 0.415 0.436 0.456 0.494 4000 0.999
q_skip[377] 0.402 0 0.028 0.347 0.384 0.402 0.42 0.458 4000 0.999
q_skip[378] 0.145 0 0.022 0.106 0.13 0.145 0.159 0.19 4000 1
q_skip[379] 0.606 0 0.025 0.557 0.589 0.606 0.623 0.654 4000 1
q_skip[380] 0.557 0 0.027 0.504 0.54 0.557 0.576 0.609 4000 0.999
q_skip[381] 0.135 0 0.021 0.097 0.12 0.135 0.149 0.18 4000 0.999
q_skip[382] 0.461 0 0.031 0.4 0.441 0.461 0.482 0.522 4000 1
q_skip[383] 0.365 0 0.027 0.313 0.346 0.364 0.383 0.418 4000 0.999
q_skip[384] 0.038 0 0.012 0.019 0.03 0.037 0.045 0.064 4000 1
q_skip[385] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[386] 0.359 0 0.027 0.308 0.341 0.359 0.377 0.412 4000 0.999
q_skip[387] 0.367 0 0.027 0.317 0.348 0.367 0.386 0.42 4000 0.999
q_skip[388] 0.106 0 0.019 0.071 0.094 0.105 0.118 0.148 4000 0.999
q_skip[389] 0.847 0 0.017 0.812 0.836 0.848 0.859 0.879 4000 0.999
q_skip[390] 0.892 0 0.013 0.865 0.883 0.892 0.9 0.916 4000 0.999
q_skip[391] 0.004 0 0.004 0 0.001 0.003 0.006 0.015 4000 0.999
q_skip[392] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[393] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[394] 0.025 0 0.009 0.01 0.018 0.023 0.03 0.046 4000 0.999
q_skip[395] 0.003 0 0.002 0 0.001 0.002 0.004 0.009 4000 1
q_skip[396] 0.003 0 0.003 0 0.001 0.002 0.005 0.013 4000 0.999
q_skip[397] 0.073 0 0.016 0.044 0.061 0.072 0.084 0.109 4000 0.999
q_skip[398] 0.367 0 0.027 0.315 0.349 0.367 0.385 0.419 4000 0.999
q_skip[399] 0.047 0 0.013 0.024 0.038 0.046 0.055 0.077 4000 0.999
q_skip[400] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 0.999
q_skip[401] 0.394 0 0.028 0.34 0.375 0.394 0.412 0.448 4000 0.999
q_skip[402] 0.891 0 0.013 0.864 0.882 0.891 0.9 0.915 4000 0.999
q_skip[403] 0.804 0 0.019 0.766 0.792 0.805 0.818 0.839 4000 0.999
q_skip[404] 0.132 0 0.021 0.092 0.118 0.131 0.145 0.175 4000 0.999
q_skip[405] 0.059 0 0.016 0.033 0.048 0.058 0.069 0.092 4000 0.999
q_skip[406] 0.382 0 0.028 0.327 0.364 0.382 0.401 0.437 4000 0.999
q_skip[407] 0.4 0 0.027 0.347 0.381 0.4 0.418 0.454 4000 0.999
q_skip[408] 0.029 0 0.011 0.012 0.021 0.027 0.035 0.053 4000 1
q_skip[409] 0.003 0 0.002 0 0.001 0.002 0.004 0.009 4000 0.999
q_skip[410] 0.238 0 0.027 0.186 0.219 0.237 0.256 0.293 4000 1
q_skip[411] 0.879 0 0.015 0.849 0.869 0.88 0.89 0.907 4000 0.999
q_skip[412] 0.506 0 0.03 0.447 0.485 0.506 0.527 0.564 4000 0.999
q_skip[413] 0.123 0 0.019 0.087 0.109 0.123 0.136 0.164 4000 1
q_skip[414] 0.376 0 0.027 0.323 0.357 0.376 0.394 0.43 4000 0.999
q_skip[415] 0.383 0 0.027 0.331 0.365 0.383 0.401 0.438 4000 1
q_skip[416] 0.134 0 0.021 0.095 0.119 0.133 0.147 0.178 4000 1
q_skip[417] 0.003 0 0.003 0 0.001 0.002 0.004 0.009 4000 1
q_skip[418] 0.071 0 0.017 0.041 0.059 0.069 0.081 0.107 4000 0.999
q_skip[419] 0.387 0 0.028 0.333 0.368 0.386 0.406 0.442 4000 0.999
q_skip[420] 0.14 0 0.021 0.102 0.125 0.14 0.154 0.183 4000 1
q_skip[421] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1.001
q_skip[422] 0.518 0 0.03 0.456 0.498 0.518 0.539 0.576 4000 1
q_skip[423] 0.85 0 0.017 0.813 0.839 0.851 0.862 0.882 4000 0.999
q_skip[424] 0.812 0 0.018 0.774 0.8 0.813 0.825 0.847 4000 1
q_skip[425] 0.164 0 0.023 0.12 0.148 0.163 0.179 0.21 4000 0.999
q_skip[426] 0.021 0 0.008 0.008 0.015 0.019 0.025 0.039 4000 1
q_skip[427] 0.03 0 0.011 0.012 0.022 0.029 0.037 0.054 4000 0.999
q_skip[428] 0.003 0 0.003 0 0.001 0.002 0.004 0.012 4000 0.999
q_skip[429] 0.152 0 0.022 0.112 0.137 0.152 0.166 0.196 4000 1
q_skip[430] 0.145 0 0.021 0.106 0.13 0.144 0.159 0.19 4000 0.999
q_skip[431] 0.887 0 0.015 0.857 0.877 0.887 0.897 0.913 4000 0.999
q_skip[432] 0.57 0 0.029 0.511 0.551 0.57 0.59 0.627 4000 0.999
q_skip[433] 0.173 0 0.023 0.13 0.157 0.172 0.188 0.219 4000 0.999
q_skip[434] 0.484 0 0.029 0.427 0.464 0.484 0.503 0.542 4000 1.001
q_skip[435] 0.247 0 0.027 0.195 0.229 0.246 0.265 0.303 4000 0.999
q_skip[436] 0.118 0 0.019 0.083 0.104 0.117 0.13 0.158 4000 1
q_skip[437] 0.15 0 0.022 0.109 0.135 0.149 0.164 0.195 4000 1
q_skip[438] 0.385 0 0.027 0.333 0.366 0.384 0.402 0.438 4000 0.999
q_skip[439] 0.506 0 0.031 0.445 0.485 0.506 0.526 0.565 4000 0.999
q_skip[440] 0.406 0 0.028 0.352 0.388 0.406 0.424 0.461 4000 0.999
q_skip[441] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[442] 0.005 0 0.005 0 0.001 0.003 0.006 0.017 4000 1
q_skip[443] 0.393 0 0.028 0.34 0.373 0.393 0.412 0.449 4000 0.999
q_skip[444] 0.889 0 0.015 0.859 0.88 0.89 0.9 0.916 4000 0.999
q_skip[445] 0.003 0 0.003 0 0.001 0.002 0.005 0.012 4000 0.999
q_skip[446] 0.391 0 0.027 0.339 0.372 0.39 0.408 0.443 4000 0.999
q_skip[447] 0.028 0 0.009 0.012 0.021 0.027 0.033 0.048 4000 0.999
q_skip[448] 0.257 0 0.026 0.208 0.239 0.256 0.274 0.308 4000 1
q_skip[449] 0.597 0 0.026 0.544 0.579 0.597 0.614 0.647 4000 0.999
q_skip[450] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[451] 0.459 0 0.031 0.4 0.439 0.458 0.479 0.521 4000 1
q_skip[452] 0.052 0 0.014 0.029 0.042 0.051 0.061 0.083 4000 1
q_skip[453] 0.584 0 0.027 0.53 0.565 0.584 0.602 0.635 4000 0.999
q_skip[454] 0.419 0 0.027 0.367 0.4 0.419 0.437 0.471 4000 1
q_skip[455] 0.132 0 0.02 0.095 0.118 0.131 0.146 0.174 4000 0.999
q_skip[456] 0.423 0 0.028 0.371 0.404 0.423 0.442 0.478 4000 0.999
q_skip[457] 0.289 0 0.027 0.238 0.271 0.288 0.307 0.341 4000 0.999
q_skip[458] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[459] 0.827 0 0.018 0.79 0.815 0.827 0.839 0.859 4000 0.999
q_skip[460] 0.89 0 0.015 0.86 0.881 0.891 0.9 0.918 4000 0.999
q_skip[461] 0.122 0 0.02 0.086 0.108 0.12 0.134 0.163 4000 0.999
q_skip[462] 0.903 0 0.014 0.875 0.894 0.903 0.913 0.927 4000 1
q_skip[463] 0.415 0 0.027 0.362 0.395 0.414 0.434 0.468 4000 0.999
q_skip[464] 0.152 0 0.022 0.112 0.137 0.151 0.167 0.198 4000 1
q_skip[465] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[466] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[467] 0.299 0 0.029 0.243 0.279 0.298 0.318 0.357 4000 0.999
q_skip[468] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[469] 0.142 0 0.021 0.103 0.127 0.141 0.156 0.185 4000 1
q_skip[470] 0.866 0 0.016 0.833 0.856 0.867 0.877 0.895 4000 0.999
q_skip[471] 0.312 0 0.028 0.259 0.292 0.312 0.331 0.367 4000 1
q_skip[472] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 0.999
q_skip[473] 0.032 0 0.011 0.014 0.024 0.031 0.038 0.056 4000 0.999
q_skip[474] 0.827 0 0.018 0.791 0.816 0.828 0.839 0.862 4000 0.999
q_skip[475] 0.021 0 0.008 0.008 0.015 0.02 0.026 0.04 4000 0.999
q_skip[476] 0.27 0 0.027 0.219 0.251 0.27 0.288 0.324 4000 0.999
q_skip[477] 0.003 0 0.003 0 0.001 0.002 0.004 0.009 4000 1
q_skip[478] 0.434 0 0.028 0.378 0.415 0.434 0.452 0.487 4000 0.999
q_skip[479] 0.421 0 0.027 0.367 0.403 0.421 0.438 0.474 4000 0.999
q_skip[480] 0.431 0 0.028 0.377 0.412 0.431 0.45 0.486 4000 1
q_skip[481] 0.833 0 0.018 0.795 0.821 0.834 0.845 0.867 4000 1
q_skip[482] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[483] 0.614 0 0.026 0.562 0.596 0.614 0.631 0.663 4000 0.999
q_skip[484] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 0.999
q_skip[485] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 0.999
q_skip[486] 0.026 0 0.009 0.011 0.019 0.025 0.031 0.047 4000 0.999
q_skip[487] 0.093 0 0.018 0.062 0.079 0.092 0.105 0.131 4000 1
q_skip[488] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[489] 0.407 0 0.028 0.354 0.388 0.407 0.425 0.46 4000 1
q_skip[490] 0.908 0 0.013 0.88 0.9 0.908 0.916 0.931 4000 0.999
q_skip[491] 0.018 0 0.008 0.006 0.013 0.017 0.023 0.036 4000 0.999
q_skip[492] 0.022 0 0.009 0.007 0.015 0.02 0.027 0.044 4000 1
q_skip[493] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[494] 0.413 0 0.028 0.36 0.394 0.413 0.432 0.469 4000 0.999
q_skip[495] 0.904 0 0.013 0.877 0.895 0.905 0.913 0.928 4000 0.999
q_skip[496] 0.907 0 0.013 0.878 0.898 0.908 0.916 0.931 4000 0.999
q_skip[497] 0.289 0 0.028 0.236 0.27 0.289 0.307 0.345 4000 0.999
q_skip[498] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[499] 0.315 0 0.029 0.259 0.295 0.314 0.334 0.372 4000 1
q_skip[500] 0.622 0 0.025 0.57 0.605 0.622 0.639 0.672 4000 0.999
q_skip[501] 0.168 0 0.022 0.125 0.153 0.167 0.183 0.214 4000 1
q_skip[502] 0.154 0 0.022 0.113 0.139 0.153 0.169 0.202 4000 1
q_skip[503] 0.423 0 0.027 0.37 0.405 0.423 0.442 0.477 4000 0.999
q_skip[504] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[505] 0.149 0 0.022 0.109 0.135 0.148 0.164 0.195 4000 0.999
q_skip[506] 0.022 0 0.009 0.008 0.015 0.021 0.027 0.042 4000 1
q_skip[507] 0.321 0 0.029 0.264 0.302 0.321 0.341 0.38 4000 0.999
q_skip[508] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[509] 0.157 0 0.022 0.116 0.142 0.156 0.171 0.203 4000 1
q_skip[510] 0.41 0 0.028 0.358 0.391 0.41 0.429 0.463 4000 0.999
q_skip[511] 0.414 0 0.027 0.36 0.396 0.414 0.432 0.469 4000 1
q_skip[512] 0.083 0 0.017 0.053 0.071 0.082 0.094 0.12 4000 0.999
q_skip[513] 0.613 0 0.027 0.56 0.595 0.613 0.631 0.666 4000 1
q_skip[514] 0.444 0 0.028 0.389 0.425 0.444 0.463 0.5 4000 1
q_skip[515] 0.08 0 0.017 0.05 0.068 0.079 0.091 0.117 4000 1
q_skip[516] 0.052 0 0.014 0.027 0.041 0.051 0.06 0.083 4000 1
q_skip[517] 0.015 0 0.007 0.004 0.009 0.013 0.019 0.031 4000 1
q_skip[518] 0.145 0 0.021 0.105 0.13 0.144 0.16 0.188 4000 0.999
q_skip[519] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[520] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[521] 0.003 0 0.003 0 0.001 0.002 0.004 0.009 4000 1
q_skip[522] 0.159 0 0.022 0.116 0.144 0.158 0.173 0.205 4000 0.999
q_skip[523] 0.841 0 0.018 0.804 0.83 0.842 0.853 0.875 4000 0.999
q_skip[524] 0.002 0 0.002 0 0.001 0.001 0.003 0.008 4000 1
q_skip[525] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 0.999
q_skip[526] 0.637 0 0.027 0.582 0.619 0.637 0.655 0.689 4000 0.999
q_skip[527] 0.883 0 0.016 0.851 0.873 0.883 0.893 0.912 4000 1
q_skip[528] 0.881 0 0.015 0.85 0.871 0.881 0.891 0.909 4000 1
q_skip[529] 0.881 0 0.016 0.85 0.87 0.882 0.892 0.909 4000 0.999
q_skip[530] 0.172 0 0.022 0.129 0.157 0.171 0.186 0.216 4000 0.999
q_skip[531] 0.845 0 0.017 0.81 0.834 0.845 0.856 0.876 4000 0.999
q_skip[532] 0.029 0 0.01 0.012 0.022 0.028 0.035 0.052 4000 0.999
q_skip[533] 0.316 0 0.029 0.26 0.296 0.315 0.335 0.372 4000 0.999
q_skip[534] 0.025 0 0.009 0.01 0.018 0.024 0.031 0.046 4000 1
q_skip[535] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[536] 0.624 0 0.025 0.573 0.607 0.624 0.64 0.674 4000 0.999
q_skip[537] 0.025 0 0.009 0.01 0.019 0.024 0.031 0.048 4000 1
q_skip[538] 0.004 0 0.004 0 0.001 0.003 0.005 0.014 4000 1
q_skip[539] 0.179 0 0.023 0.136 0.163 0.178 0.194 0.228 4000 0.999
q_skip[540] 0.104 0 0.02 0.069 0.09 0.103 0.117 0.146 4000 1
q_skip[541] 0.047 0 0.013 0.024 0.038 0.046 0.056 0.076 4000 1
q_skip[542] 0.004 0 0.004 0 0.001 0.003 0.005 0.013 4000 0.999
q_skip[543] 0.453 0 0.029 0.398 0.434 0.453 0.472 0.509 4000 1
q_skip[544] 0.916 0 0.012 0.891 0.908 0.917 0.925 0.938 4000 1
q_skip[545] 0.042 0 0.012 0.022 0.034 0.041 0.05 0.069 4000 1
q_skip[546] 0.891 0 0.015 0.861 0.881 0.891 0.901 0.918 4000 1
q_skip[547] 0.425 0 0.028 0.371 0.406 0.425 0.444 0.481 4000 1
q_skip[548] 0.617 0 0.026 0.564 0.599 0.617 0.635 0.669 4000 1
q_skip[549] 0.657 0 0.024 0.609 0.64 0.657 0.673 0.703 4000 1
q_skip[550] 0.521 0 0.03 0.46 0.5 0.521 0.542 0.578 4000 1
q_skip[551] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[552] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[553] 0.849 0 0.017 0.816 0.838 0.849 0.86 0.881 4000 0.999
q_skip[554] 0.31 0 0.029 0.255 0.29 0.309 0.329 0.368 4000 1
q_skip[555] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[556] 0.445 0 0.028 0.392 0.426 0.445 0.464 0.498 4000 0.999
q_skip[557] 0.002 0 0.002 0 0.001 0.001 0.003 0.008 4000 0.999
q_skip[558] 0.916 0 0.013 0.89 0.908 0.917 0.925 0.939 4000 0.999
q_skip[559] 0.331 0 0.03 0.275 0.311 0.33 0.351 0.39 4000 0.999
q_skip[560] 0.309 0 0.029 0.256 0.289 0.309 0.328 0.367 4000 0.999
q_skip[561] 0.852 0 0.017 0.818 0.841 0.853 0.863 0.883 4000 1
q_skip[562] 0.631 0 0.027 0.578 0.613 0.631 0.65 0.683 4000 1
q_skip[563] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[564] 0.186 0 0.024 0.141 0.17 0.185 0.201 0.234 4000 0.999
q_skip[565] 0.857 0 0.017 0.822 0.846 0.858 0.869 0.889 4000 1
q_skip[566] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[567] 0.085 0 0.018 0.053 0.072 0.084 0.096 0.124 4000 0.999
q_skip[568] 0.125 0 0.022 0.086 0.109 0.124 0.139 0.17 4000 1
q_skip[569] 0.626 0 0.026 0.574 0.608 0.626 0.643 0.677 4000 0.999
q_skip[570] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[571] 0.893 0 0.015 0.862 0.884 0.894 0.903 0.92 4000 0.999
q_skip[572] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[573] 0.147 0 0.023 0.106 0.131 0.145 0.162 0.194 4000 1
q_skip[574] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[575] 0.111 0 0.019 0.075 0.098 0.11 0.123 0.152 4000 0.999
q_skip[576] 0.538 0 0.029 0.481 0.517 0.538 0.557 0.594 4000 0.999
q_skip[577] 0.578 0 0.03 0.519 0.558 0.578 0.598 0.635 4000 0.999
q_skip[578] 0.103 0 0.019 0.069 0.089 0.102 0.115 0.144 4000 1
q_skip[579] 0.852 0 0.017 0.816 0.841 0.853 0.864 0.884 4000 0.999
q_skip[580] 0.628 0 0.029 0.571 0.609 0.628 0.648 0.682 4000 1
q_skip[581] 0.523 0 0.03 0.464 0.504 0.523 0.544 0.583 4000 0.999
q_skip[582] 0.003 0 0.003 0 0.001 0.002 0.004 0.009 4000 0.999
q_skip[583] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[584] 0.029 0 0.01 0.013 0.022 0.028 0.036 0.052 4000 1
q_skip[585] 0.54 0 0.03 0.482 0.52 0.541 0.561 0.598 4000 0.999
q_skip[586] 0.121 0 0.021 0.082 0.106 0.12 0.134 0.166 4000 1
q_skip[587] 0.349 0 0.029 0.296 0.33 0.349 0.368 0.407 4000 1
q_skip[588] 0.199 0 0.025 0.153 0.182 0.198 0.216 0.25 4000 1
q_skip[589] 0.452 0 0.028 0.398 0.433 0.452 0.471 0.509 4000 0.999
q_skip[590] 0.449 0 0.028 0.394 0.43 0.449 0.468 0.503 4000 0.999
q_skip[591] 0.921 0 0.012 0.896 0.913 0.922 0.93 0.944 4000 0.999
q_skip[592] 0.13 0 0.022 0.09 0.115 0.129 0.144 0.179 4000 0.999
q_skip[593] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[594] 0.375 0 0.03 0.318 0.355 0.375 0.395 0.435 4000 0.999
q_skip[595] 0.171 0 0.023 0.127 0.155 0.169 0.186 0.218 4000 1
q_skip[596] 0.858 0 0.016 0.825 0.848 0.858 0.868 0.887 4000 0.999
q_skip[597] 0.199 0 0.025 0.153 0.182 0.198 0.215 0.25 4000 0.999
q_skip[598] 0.004 0 0.003 0 0.001 0.003 0.005 0.012 4000 1
q_skip[599] 0.467 0 0.028 0.411 0.448 0.467 0.485 0.522 4000 1
q_skip[600] 0.037 0 0.011 0.018 0.029 0.036 0.044 0.061 4000 0.999
q_skip[601] 0.921 0 0.012 0.896 0.913 0.922 0.93 0.943 4000 1
q_skip[602] 0.931 0 0.011 0.907 0.924 0.932 0.939 0.951 4000 1
q_skip[603] 0.048 0 0.013 0.026 0.039 0.047 0.056 0.076 4000 1
q_skip[604] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[605] 0.097 0 0.019 0.062 0.083 0.095 0.108 0.137 4000 1.001
q_skip[606] 0.191 0 0.024 0.147 0.174 0.19 0.206 0.241 4000 1
q_skip[607] 0.14 0 0.023 0.099 0.124 0.138 0.155 0.186 4000 1
q_skip[608] 0.036 0 0.012 0.017 0.027 0.035 0.043 0.062 4000 0.999
q_skip[609] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[610] 0.003 0 0.003 0 0.001 0.002 0.004 0.012 4000 1
q_skip[611] 0.359 0 0.03 0.301 0.338 0.358 0.379 0.419 4000 1
q_skip[612] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[613] 0.057 0 0.017 0.027 0.045 0.057 0.068 0.092 4000 1
q_skip[614] 0.669 0 0.026 0.619 0.651 0.669 0.686 0.719 4000 0.999
q_skip[615] 0.352 0 0.03 0.292 0.332 0.352 0.371 0.41 4000 1
q_skip[616] 0.035 0 0.011 0.016 0.027 0.034 0.042 0.06 4000 0.999
q_skip[617] 0.023 0 0.009 0.008 0.016 0.021 0.028 0.043 4000 0.999
q_skip[618] 0.571 0 0.031 0.511 0.551 0.571 0.592 0.632 4000 0.999
q_skip[619] 0.22 0 0.025 0.172 0.203 0.219 0.236 0.271 4000 1
q_skip[620] 0.138 0 0.022 0.098 0.123 0.137 0.152 0.185 4000 0.999
q_skip[621] 0.533 0 0.03 0.475 0.513 0.532 0.554 0.589 4000 1
q_skip[622] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[623] 0.357 0 0.029 0.299 0.338 0.357 0.376 0.416 4000 1
q_skip[624] 0.645 0 0.025 0.595 0.628 0.645 0.662 0.695 4000 1
q_skip[625] 0.108 0 0.02 0.072 0.094 0.107 0.121 0.148 4000 0.999
q_skip[626] 0.146 0 0.023 0.105 0.13 0.145 0.161 0.193 4000 1
q_skip[627] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[628] 0.195 0 0.026 0.146 0.177 0.194 0.212 0.247 4000 1
q_skip[629] 0.03 0 0.011 0.013 0.022 0.029 0.037 0.054 4000 0.999
q_skip[630] 0.936 0 0.011 0.913 0.929 0.937 0.944 0.956 4000 1
q_skip[631] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[632] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[633] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 0.999
q_skip[634] 0.248 0 0.027 0.197 0.23 0.248 0.266 0.301 4000 0.999
q_skip[635] 0.118 0 0.02 0.082 0.104 0.117 0.131 0.161 4000 1
q_skip[636] 0.351 0 0.03 0.293 0.33 0.35 0.371 0.411 4000 0.999
q_skip[637] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[638] 0.002 0 0.002 0 0.001 0.001 0.003 0.008 4000 0.999
q_skip[639] 0.465 0 0.028 0.411 0.446 0.465 0.484 0.518 4000 0.999
q_skip[640] 0.907 0 0.014 0.878 0.897 0.907 0.917 0.933 4000 1
q_skip[641] 0.251 0 0.026 0.202 0.233 0.25 0.267 0.304 4000 0.999
q_skip[642] 0.932 0 0.012 0.908 0.925 0.933 0.94 0.953 4000 1
q_skip[643] 0.004 0 0.004 0 0.001 0.003 0.006 0.015 4000 1
q_skip[644] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[645] 0.026 0 0.01 0.011 0.019 0.025 0.032 0.049 4000 1
q_skip[646] 0.211 0 0.025 0.164 0.194 0.21 0.227 0.262 4000 0.999
q_skip[647] 0.148 0 0.022 0.107 0.132 0.147 0.162 0.194 4000 0.999
q_skip[648] 0.002 0 0.002 0 0.001 0.001 0.003 0.008 4000 1
q_skip[649] 0.466 0 0.028 0.412 0.446 0.466 0.485 0.521 4000 1
q_skip[650] 0.543 0 0.03 0.485 0.523 0.543 0.563 0.602 4000 0.999
q_skip[651] 0.869 0 0.016 0.836 0.86 0.87 0.88 0.898 4000 0.999
q_skip[652] 0.916 0 0.013 0.887 0.907 0.916 0.925 0.94 4000 0.999
q_skip[653] 0.663 0 0.025 0.615 0.646 0.663 0.68 0.71 4000 0.999
q_skip[654] 0.669 0 0.025 0.618 0.652 0.669 0.686 0.717 4000 0.999
q_skip[655] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[656] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[657] 0.003 0 0.003 0 0.001 0.002 0.005 0.012 4000 1.001
q_skip[658] 0.139 0 0.022 0.099 0.124 0.138 0.153 0.185 4000 0.999
q_skip[659] 0.038 0 0.012 0.019 0.029 0.037 0.045 0.065 4000 1
q_skip[660] 0.163 0 0.024 0.12 0.147 0.162 0.179 0.211 4000 0.999
q_skip[661] 0.194 0 0.024 0.148 0.177 0.193 0.209 0.243 4000 0.999
q_skip[662] 0.188 0 0.024 0.144 0.171 0.187 0.204 0.237 4000 0.999
q_skip[663] 0.219 0 0.025 0.173 0.202 0.218 0.235 0.269 4000 0.999
q_skip[664] 0.373 0 0.03 0.314 0.352 0.373 0.392 0.434 4000 1
q_skip[665] 0.462 0 0.029 0.406 0.443 0.462 0.481 0.519 4000 0.999
q_skip[666] 0.648 0 0.026 0.596 0.63 0.648 0.665 0.697 4000 0.999
q_skip[667] 0.131 0 0.022 0.091 0.116 0.13 0.145 0.177 4000 0.999
q_skip[668] 0.049 0 0.014 0.026 0.04 0.048 0.058 0.079 4000 0.999
q_skip[669] 0.462 0 0.029 0.405 0.443 0.463 0.482 0.52 4000 1
q_skip[670] 0.922 0 0.012 0.896 0.914 0.923 0.93 0.944 4000 0.999
q_skip[671] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[672] 0.041 0 0.012 0.021 0.032 0.04 0.048 0.069 4000 0.999
q_skip[673] 0.002 0 0.002 0 0.001 0.001 0.003 0.009 4000 1
q_skip[674] 0.002 0 0.002 0 0.001 0.001 0.003 0.008 4000 1
q_skip[675] 0.581 0 0.029 0.524 0.561 0.582 0.602 0.638 4000 0.999
q_skip[676] 0.143 0 0.023 0.102 0.127 0.142 0.159 0.189 4000 0.999
q_skip[677] 0.217 0 0.025 0.169 0.2 0.217 0.234 0.27 4000 0.999
q_skip[678] 0.478 0 0.029 0.42 0.458 0.478 0.497 0.533 4000 1
q_skip[679] 0.465 0 0.028 0.407 0.446 0.465 0.484 0.522 4000 0.999
q_skip[680] 0.152 0 0.023 0.11 0.136 0.151 0.168 0.2 4000 1
q_skip[681] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[682] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 0.999
q_skip[683] 0.914 0 0.013 0.887 0.906 0.915 0.923 0.938 4000 0.999
q_skip[684] 0.422 0 0.031 0.362 0.402 0.422 0.442 0.486 4000 0.999
q_skip[685] 0.947 0 0.009 0.928 0.941 0.947 0.953 0.963 4000 0.999
q_skip[686] 0.654 0 0.025 0.605 0.638 0.655 0.672 0.703 4000 0.999
q_skip[687] 0.21 0 0.025 0.165 0.192 0.21 0.227 0.262 4000 1
q_skip[688] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[689] 0.572 0 0.029 0.514 0.552 0.572 0.591 0.628 4000 0.999
q_skip[690] 0.116 0 0.02 0.08 0.102 0.115 0.129 0.158 4000 0.999
q_skip[691] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[692] 0.876 0 0.015 0.844 0.866 0.876 0.886 0.904 4000 0.999
q_skip[693] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[694] 0.94 0 0.011 0.916 0.933 0.941 0.948 0.96 4000 0.999
q_skip[695] 0.475 0 0.028 0.422 0.457 0.475 0.494 0.528 4000 0.999
q_skip[696] 0.212 0 0.025 0.166 0.194 0.212 0.229 0.261 4000 1
q_skip[697] 0.215 0 0.024 0.169 0.199 0.215 0.231 0.264 4000 1
q_skip[698] 0.661 0 0.026 0.612 0.643 0.661 0.679 0.709 4000 0.999
q_skip[699] 0.485 0 0.028 0.431 0.466 0.484 0.504 0.54 4000 0.999
q_skip[700] 0.003 0 0.003 0 0.001 0.002 0.004 0.012 4000 0.999
q_skip[701] 0.378 0 0.029 0.323 0.359 0.377 0.398 0.434 4000 0.999
q_skip[702] 0.056 0 0.013 0.033 0.046 0.055 0.065 0.085 4000 1
q_skip[703] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[704] 0.203 0 0.024 0.159 0.186 0.203 0.219 0.252 4000 0.999
q_skip[705] 0.346 0 0.03 0.287 0.326 0.346 0.367 0.406 4000 0.999
q_skip[706] 0.031 0 0.011 0.014 0.024 0.03 0.038 0.056 4000 1
q_skip[707] 0.174 0 0.025 0.129 0.157 0.173 0.19 0.224 4000 0.999
q_skip[708] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[709] 0.487 0 0.027 0.436 0.468 0.487 0.506 0.541 4000 1
q_skip[710] 0.412 0 0.031 0.352 0.391 0.412 0.433 0.472 4000 1
q_skip[711] 0.347 0 0.029 0.291 0.327 0.347 0.367 0.406 4000 0.999
q_skip[712] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[713] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[714] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[715] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[716] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[717] 0.222 0 0.026 0.175 0.204 0.221 0.24 0.275 4000 0.999
q_skip[718] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[719] 0.347 0 0.03 0.288 0.327 0.346 0.366 0.409 4000 1
q_skip[720] 0.002 0 0.003 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[721] 0.385 0 0.03 0.327 0.365 0.385 0.405 0.445 4000 1
q_skip[722] 0.88 0 0.015 0.849 0.87 0.88 0.89 0.908 4000 1
q_skip[723] 0.606 0 0.029 0.55 0.587 0.606 0.625 0.663 4000 1
q_skip[724] 0.657 0 0.025 0.607 0.64 0.656 0.674 0.707 4000 0.999
q_skip[725] 0.075 0 0.017 0.046 0.063 0.074 0.086 0.111 4000 1
q_skip[726] 0.003 0 0.002 0 0.001 0.002 0.004 0.009 4000 0.999
q_skip[727] 0.38 0 0.03 0.323 0.359 0.38 0.399 0.439 4000 0.999
q_skip[728] 0.005 0 0.005 0 0.001 0.003 0.007 0.018 4000 1
q_skip[729] 0.393 0 0.03 0.335 0.373 0.393 0.412 0.455 4000 0.999
q_skip[730] 0.06 0 0.014 0.035 0.05 0.059 0.07 0.092 4000 0.999
q_skip[731] 0.892 0 0.015 0.862 0.882 0.892 0.902 0.919 4000 0.999
q_skip[732] 0.951 0 0.009 0.931 0.945 0.951 0.957 0.967 4000 0.999
q_skip[733] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 0.999
q_skip[734] 0.004 0 0.004 0 0.001 0.003 0.005 0.014 4000 1
q_skip[735] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 0.999
q_skip[736] 0.136 0 0.023 0.094 0.12 0.135 0.15 0.182 4000 0.999
q_skip[737] 0.116 0 0.021 0.078 0.101 0.116 0.13 0.159 4000 1
q_skip[738] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[739] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[740] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 0.999
q_skip[741] 0.048 0 0.013 0.026 0.038 0.046 0.056 0.076 4000 0.999
q_skip[742] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[743] 0.139 0 0.022 0.099 0.125 0.138 0.153 0.186 4000 0.999
q_skip[744] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[745] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[746] 0.149 0 0.023 0.106 0.133 0.148 0.164 0.197 4000 1
q_skip[747] 0.923 0 0.013 0.897 0.915 0.924 0.932 0.946 4000 1
q_skip[748] 0.673 0 0.025 0.623 0.656 0.674 0.691 0.722 4000 1
q_skip[749] 0.171 0 0.024 0.125 0.155 0.17 0.187 0.222 4000 1
q_skip[750] 0.497 0 0.027 0.443 0.478 0.497 0.515 0.551 4000 0.999
q_skip[751] 0.239 0 0.026 0.19 0.221 0.238 0.257 0.292 4000 1
q_skip[752] 0.209 0 0.026 0.161 0.191 0.208 0.227 0.262 4000 0.999
q_skip[753] 0.479 0 0.028 0.423 0.459 0.479 0.498 0.533 4000 0.999
q_skip[754] 0.055 0 0.014 0.031 0.045 0.054 0.064 0.085 4000 0.999
q_skip[755] 0.927 0 0.012 0.901 0.919 0.928 0.936 0.95 4000 0.999
q_skip[756] 0.885 0 0.015 0.856 0.875 0.885 0.895 0.912 4000 1
q_skip[757] 0.525 0 0.028 0.47 0.506 0.525 0.544 0.579 4000 0.999
q_skip[758] 0.034 0 0.011 0.017 0.026 0.033 0.041 0.059 4000 1
q_skip[759] 0.048 0 0.013 0.025 0.038 0.047 0.056 0.077 4000 1
q_skip[760] 0.479 0 0.028 0.423 0.46 0.478 0.498 0.534 4000 0.999
q_skip[761] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 0.999
q_skip[762] 0.474 0 0.028 0.419 0.455 0.474 0.494 0.529 4000 1
q_skip[763] 0.003 0 0.003 0 0.001 0.002 0.005 0.012 4000 0.999
q_skip[764] 0.496 0 0.029 0.44 0.476 0.496 0.515 0.551 4000 1
q_skip[765] 0.251 0 0.027 0.199 0.232 0.251 0.268 0.306 4000 1
q_skip[766] 0.234 0 0.026 0.185 0.216 0.234 0.251 0.286 4000 1
q_skip[767] 0.697 0 0.024 0.647 0.681 0.698 0.714 0.743 4000 0.999
q_skip[768] 0.376 0 0.031 0.316 0.355 0.376 0.396 0.436 4000 1
q_skip[769] 0.228 0 0.025 0.18 0.211 0.228 0.244 0.278 4000 1
q_skip[770] 0.06 0 0.015 0.034 0.049 0.059 0.069 0.092 4000 0.999
q_skip[771] 0.576 0 0.029 0.518 0.557 0.576 0.596 0.633 4000 0.999
q_skip[772] 0.147 0 0.023 0.105 0.131 0.145 0.161 0.194 4000 1
q_skip[773] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[774] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[775] 0.065 0 0.015 0.038 0.054 0.064 0.074 0.098 4000 0.999
q_skip[776] 0.234 0 0.025 0.186 0.217 0.233 0.25 0.284 4000 0.999
q_skip[777] 0.671 0 0.025 0.621 0.655 0.671 0.688 0.718 4000 0.999
q_skip[778] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 0.999
q_skip[779] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 0.999
q_skip[780] 0.155 0 0.023 0.113 0.14 0.155 0.17 0.204 4000 0.999
q_skip[781] 0.251 0 0.026 0.202 0.234 0.25 0.268 0.302 4000 0.999
q_skip[782] 0.393 0 0.03 0.335 0.373 0.393 0.413 0.452 4000 0.999
q_skip[783] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[784] 0.003 0 0.003 0 0.001 0.002 0.005 0.012 4000 0.999
q_skip[785] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[786] 0.957 0 0.009 0.938 0.951 0.957 0.963 0.972 4000 0.999
q_skip[787] 0.483 0 0.029 0.427 0.464 0.483 0.502 0.538 4000 0.999
q_skip[788] 0.936 0 0.011 0.912 0.929 0.937 0.944 0.956 4000 0.999
q_skip[789] 0.691 0 0.024 0.643 0.675 0.691 0.707 0.738 4000 0.999
q_skip[790] 0.952 0 0.01 0.931 0.946 0.953 0.959 0.968 4000 1
q_skip[791] 0.932 0 0.012 0.907 0.925 0.933 0.941 0.954 4000 1
q_skip[792] 0.953 0 0.009 0.933 0.947 0.954 0.96 0.97 4000 0.999
q_skip[793] 0.399 0 0.031 0.34 0.378 0.399 0.419 0.458 4000 1
q_skip[794] 0.023 0 0.009 0.009 0.017 0.022 0.028 0.044 4000 0.999
q_skip[795] 0.057 0 0.015 0.032 0.047 0.056 0.066 0.088 4000 1
q_skip[796] 0.052 0 0.013 0.029 0.043 0.051 0.06 0.081 4000 1
q_skip[797] 0.585 0 0.03 0.525 0.565 0.585 0.606 0.645 4000 0.999
q_skip[798] 0.049 0 0.013 0.026 0.04 0.048 0.057 0.079 4000 0.999
q_skip[799] 0.004 0 0.004 0 0.001 0.003 0.006 0.016 4000 1
q_skip[800] 0.048 0 0.013 0.026 0.039 0.047 0.056 0.077 4000 1
q_skip[801] 0.158 0 0.023 0.115 0.142 0.157 0.173 0.204 4000 1
q_skip[802] 0.681 0 0.025 0.631 0.664 0.682 0.699 0.729 4000 0.999
q_skip[803] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[804] 0.599 0 0.029 0.541 0.579 0.599 0.619 0.655 4000 1
q_skip[805] 0.624 0 0.029 0.565 0.605 0.624 0.645 0.681 4000 0.999
q_skip[806] 0.404 0 0.03 0.344 0.383 0.404 0.424 0.463 4000 0.999
q_skip[807] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 0.999
q_skip[808] 0.24 0 0.026 0.189 0.223 0.24 0.258 0.293 4000 1
q_skip[809] 0.155 0 0.023 0.112 0.139 0.154 0.169 0.203 4000 0.999
q_skip[810] 0.068 0 0.016 0.04 0.056 0.067 0.079 0.103 4000 0.999
q_skip[811] 0.586 0 0.031 0.526 0.565 0.586 0.607 0.646 4000 0.999
q_skip[812] 0.054 0 0.014 0.031 0.044 0.053 0.063 0.084 4000 0.999
q_skip[813] 0.059 0 0.014 0.035 0.05 0.059 0.068 0.09 4000 0.999
q_skip[814] 0.49 0 0.028 0.435 0.471 0.49 0.509 0.545 4000 1
q_skip[815] 0.232 0 0.025 0.185 0.215 0.232 0.248 0.283 4000 1
q_skip[816] 0.161 0 0.023 0.118 0.145 0.161 0.176 0.209 4000 0.999
q_skip[817] 0.038 0 0.012 0.019 0.029 0.036 0.045 0.063 4000 0.999
q_skip[818] 0.003 0 0.003 0 0.001 0.002 0.005 0.012 4000 1
q_skip[819] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[820] 0.062 0 0.016 0.035 0.051 0.061 0.072 0.096 4000 0.999
q_skip[821] 0.241 0 0.026 0.192 0.223 0.24 0.258 0.295 4000 0.999
q_skip[822] 0.697 0 0.025 0.648 0.681 0.698 0.715 0.744 4000 0.999
q_skip[823] 0.05 0 0.013 0.028 0.04 0.049 0.058 0.079 4000 0.999
q_skip[824] 0.003 0 0.003 0 0.001 0.002 0.005 0.012 4000 1
q_skip[825] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[826] 0.682 0 0.025 0.631 0.666 0.683 0.7 0.731 4000 0.999
q_skip[827] 0.169 0 0.024 0.124 0.152 0.167 0.185 0.219 4000 0.999
q_skip[828] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 0.999
q_skip[829] 0.263 0 0.026 0.212 0.245 0.262 0.28 0.315 4000 1
q_skip[830] 0.171 0 0.024 0.126 0.155 0.171 0.187 0.22 4000 0.999
q_skip[831] 0.24 0 0.026 0.191 0.222 0.239 0.257 0.292 4000 0.999
q_skip[832] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[833] 0.136 0 0.023 0.096 0.121 0.135 0.151 0.183 4000 0.999
q_skip[834] 0.486 0 0.028 0.43 0.467 0.486 0.503 0.542 4000 0.999
q_skip[835] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[836] 0.003 0 0.003 0 0.001 0.002 0.004 0.009 4000 0.999
q_skip[837] 0.003 0 0.003 0 0.001 0.002 0.005 0.012 4000 1
q_skip[838] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[839] 0.675 0 0.025 0.623 0.658 0.675 0.691 0.724 4000 0.999
q_skip[840] 0.69 0 0.024 0.643 0.675 0.691 0.707 0.735 4000 1
q_skip[841] 0.063 0 0.015 0.037 0.052 0.062 0.073 0.096 4000 0.999
q_skip[842] 0.231 0 0.026 0.182 0.214 0.231 0.248 0.285 4000 0.999
q_skip[843] 0.26 0 0.027 0.21 0.241 0.259 0.277 0.313 4000 1
q_skip[844] 0.424 0 0.031 0.364 0.403 0.423 0.443 0.486 4000 1
q_skip[845] 0.893 0 0.015 0.863 0.884 0.894 0.904 0.92 4000 0.999
q_skip[846] 0.002 0 0.002 0 0.001 0.001 0.003 0.008 4000 0.999
q_skip[847] 0.002 0 0.003 0 0.001 0.002 0.003 0.009 4000 1
q_skip[848] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[849] 0.046 0 0.013 0.023 0.037 0.045 0.054 0.074 4000 1
q_skip[850] 0.003 0 0.003 0 0.001 0.002 0.005 0.012 4000 1
q_skip[851] 0.008 0 0.008 0 0.002 0.006 0.011 0.028 4000 1
q_skip[852] 0.617 0 0.029 0.56 0.598 0.617 0.636 0.672 4000 1
q_skip[853] 0.698 0 0.025 0.647 0.682 0.698 0.714 0.744 4000 0.999
q_skip[854] 0.061 0 0.015 0.035 0.051 0.06 0.07 0.094 4000 1
q_skip[855] 0.057 0 0.014 0.033 0.047 0.057 0.066 0.088 4000 1
q_skip[856] 0.252 0 0.026 0.203 0.234 0.252 0.269 0.303 4000 0.999
q_skip[857] 0.5 0 0.027 0.448 0.482 0.5 0.52 0.553 4000 1
q_skip[858] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 0.999
q_skip[859] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[860] 0.169 0 0.024 0.125 0.153 0.168 0.184 0.22 4000 1
q_skip[861] 0.069 0 0.016 0.041 0.058 0.068 0.079 0.104 4000 0.999
q_skip[862] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[863] 0.243 0 0.026 0.195 0.225 0.242 0.259 0.295 4000 0.999
q_skip[864] 0.003 0 0.002 0 0.001 0.002 0.004 0.009 4000 1
q_skip[865] 0.501 0 0.029 0.445 0.482 0.5 0.521 0.558 4000 1
q_skip[866] 0.004 0 0.004 0 0.001 0.003 0.005 0.013 4000 1
q_skip[867] 0.177 0 0.024 0.131 0.16 0.176 0.192 0.227 4000 0.999
q_skip[868] 0.002 0 0.002 0 0.001 0.001 0.003 0.008 4000 1
q_skip[869] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[870] 0.003 0 0.003 0 0.001 0.002 0.004 0.009 4000 1.001
q_skip[871] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 0.999
q_skip[872] 0.068 0 0.016 0.04 0.056 0.066 0.078 0.102 4000 0.999
q_skip[873] 0.253 0 0.027 0.203 0.235 0.253 0.27 0.306 4000 0.999
q_skip[874] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[875] 0.172 0 0.024 0.126 0.156 0.172 0.188 0.224 4000 0.999
q_skip[876] 0.164 0 0.024 0.12 0.148 0.162 0.179 0.212 4000 0.999
q_skip[877] 0.503 0 0.028 0.447 0.483 0.503 0.522 0.557 4000 0.999
q_skip[878] 0.045 0 0.012 0.024 0.037 0.044 0.053 0.072 4000 1
q_skip[879] 0.056 0 0.014 0.032 0.046 0.055 0.065 0.086 4000 0.999
q_skip[880] 0.003 0 0.003 0 0.001 0.002 0.005 0.012 4000 1
q_skip[881] 0.06 0 0.014 0.035 0.05 0.059 0.069 0.09 4000 1
q_skip[882] 0.511 0 0.028 0.455 0.491 0.511 0.53 0.565 4000 0.999
q_skip[883] 0.403 0 0.03 0.346 0.382 0.403 0.423 0.462 4000 1
q_skip[884] 0.96 0 0.009 0.941 0.955 0.961 0.967 0.976 4000 0.999
q_skip[885] 0.059 0 0.015 0.033 0.049 0.058 0.068 0.091 4000 1
q_skip[886] 0.161 0 0.024 0.116 0.145 0.16 0.177 0.21 4000 1
q_skip[887] 0.15 0 0.023 0.108 0.134 0.149 0.165 0.197 4000 1
q_skip[888] 0.263 0 0.026 0.215 0.246 0.263 0.28 0.316 4000 1
q_skip[889] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[890] 0.68 0 0.025 0.63 0.664 0.68 0.697 0.728 4000 0.999
q_skip[891] 0.965 0 0.008 0.949 0.961 0.966 0.971 0.979 4000 1
q_skip[892] 0.212 0 0.027 0.162 0.194 0.212 0.23 0.268 4000 0.999
q_skip[893] 0.257 0 0.027 0.204 0.239 0.256 0.274 0.312 4000 0.999
q_skip[894] 0.692 0 0.026 0.641 0.674 0.693 0.709 0.741 4000 1
q_skip[895] 0.899 0 0.014 0.87 0.89 0.9 0.909 0.925 4000 1
q_skip[896] 0.401 0 0.031 0.343 0.38 0.401 0.422 0.461 4000 1
q_skip[897] 0.9 0 0.014 0.871 0.891 0.901 0.91 0.926 4000 0.999
q_skip[898] 0.418 0 0.031 0.358 0.397 0.418 0.439 0.477 4000 0.999
q_skip[899] 0.901 0 0.014 0.873 0.892 0.902 0.91 0.926 4000 1
q_skip[900] 0.966 0 0.007 0.95 0.962 0.967 0.971 0.979 4000 0.999
q_skip[901] 0.003 0 0.003 0 0.001 0.002 0.003 0.009 4000 1
q_skip[902] 0.004 0 0.004 0 0.001 0.003 0.005 0.014 4000 0.999
q_skip[903] 0.068 0 0.016 0.04 0.057 0.067 0.078 0.101 4000 1
q_skip[904] 0.188 0 0.025 0.141 0.17 0.187 0.204 0.24 4000 1
q_skip[905] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[906] 0.518 0 0.028 0.465 0.499 0.518 0.537 0.572 4000 0.999
q_skip[907] 0.256 0 0.027 0.204 0.237 0.255 0.273 0.311 4000 0.999
q_skip[908] 0.057 0 0.015 0.032 0.047 0.056 0.067 0.089 4000 0.999
q_skip[909] 0.251 0 0.026 0.202 0.234 0.252 0.268 0.303 4000 0.999
q_skip[910] 0.177 0 0.024 0.134 0.16 0.177 0.193 0.227 4000 0.999
q_skip[911] 0.003 0 0.002 0 0.001 0.002 0.004 0.009 4000 1.001
q_skip[912] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[913] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[914] 0.159 0 0.023 0.117 0.143 0.158 0.174 0.208 4000 0.999
q_skip[915] 0.094 0 0.019 0.061 0.081 0.093 0.106 0.136 4000 1
q_skip[916] 0.002 0 0.003 0 0.001 0.002 0.003 0.009 4000 1
q_skip[917] 0.038 0 0.012 0.018 0.029 0.037 0.045 0.063 4000 0.999
q_skip[918] 0.003 0 0.004 0 0.001 0.002 0.005 0.013 4000 1
q_skip[919] 0.248 0 0.026 0.2 0.229 0.247 0.265 0.3 4000 0.999
q_skip[920] 0.501 0 0.028 0.445 0.482 0.502 0.52 0.556 4000 1
q_skip[921] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 0.999
q_skip[922] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[923] 0.261 0 0.028 0.208 0.242 0.261 0.279 0.318 4000 0.999
q_skip[924] 0.183 0 0.025 0.138 0.166 0.182 0.2 0.233 4000 0.999
q_skip[925] 0.968 0 0.007 0.954 0.963 0.968 0.973 0.981 4000 0.999
q_skip[926] 0.002 0 0.003 0 0.001 0.002 0.003 0.009 4000 1
q_skip[927] 0.503 0 0.028 0.45 0.484 0.503 0.522 0.557 4000 0.999
q_skip[928] 0.003 0 0.003 0 0.001 0.002 0.005 0.012 4000 0.999
q_skip[929] 0.402 0 0.031 0.344 0.381 0.403 0.423 0.461 4000 0.999
q_skip[930] 0.264 0 0.026 0.214 0.246 0.263 0.281 0.316 4000 0.999
q_skip[931] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[932] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[933] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[934] 0.966 0 0.008 0.947 0.961 0.966 0.972 0.98 4000 1
q_skip[935] 0.413 0 0.031 0.354 0.393 0.413 0.434 0.475 4000 0.999
q_skip[936] 0.26 0 0.027 0.208 0.241 0.259 0.278 0.314 4000 1
q_skip[937] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[938] 0.263 0 0.026 0.213 0.246 0.262 0.28 0.316 4000 0.999
q_skip[939] 0.499 0 0.028 0.444 0.48 0.499 0.518 0.552 4000 1
q_skip[940] 0.164 0 0.024 0.12 0.148 0.163 0.18 0.213 4000 1
q_skip[941] 0.256 0 0.027 0.203 0.237 0.255 0.274 0.31 4000 1
q_skip[942] 0.057 0 0.014 0.032 0.047 0.056 0.066 0.088 4000 0.999
q_skip[943] 0.07 0 0.016 0.042 0.059 0.069 0.08 0.104 4000 1
q_skip[944] 0.686 0 0.025 0.636 0.67 0.687 0.703 0.733 4000 1
q_skip[945] 0.064 0 0.015 0.038 0.054 0.063 0.074 0.097 4000 0.999
q_skip[946] 0.174 0 0.025 0.13 0.157 0.173 0.191 0.224 4000 1
q_skip[947] 0.258 0 0.026 0.209 0.241 0.258 0.275 0.311 4000 0.999
q_skip[948] 0.159 0 0.024 0.115 0.142 0.158 0.174 0.208 4000 1
q_skip[949] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[950] 0.514 0 0.028 0.458 0.495 0.513 0.533 0.569 4000 0.999
q_skip[951] 0.257 0 0.026 0.207 0.239 0.256 0.274 0.308 4000 0.999
q_skip[952] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 0.999
q_skip[953] 0.065 0 0.015 0.038 0.054 0.064 0.075 0.097 4000 0.999
q_skip[954] 0.066 0 0.016 0.039 0.055 0.065 0.076 0.1 4000 1
q_skip[955] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 1
q_skip[956] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[957] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[958] 0.077 0 0.017 0.047 0.065 0.076 0.087 0.113 4000 1
q_skip[959] 0.397 0 0.031 0.338 0.376 0.397 0.418 0.458 4000 1
q_skip[960] 0.111 0 0.021 0.074 0.096 0.109 0.124 0.154 4000 1
q_skip[961] 0.686 0 0.025 0.637 0.67 0.687 0.704 0.734 4000 0.999
q_skip[962] 0.97 0 0.007 0.956 0.965 0.97 0.975 0.982 4000 1
q_skip[963] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 0.999
q_skip[964] 0.903 0 0.014 0.874 0.893 0.904 0.913 0.929 4000 0.999
q_skip[965] 0.602 0 0.03 0.544 0.582 0.602 0.622 0.662 4000 0.999
q_skip[966] 0.965 0 0.008 0.947 0.96 0.966 0.971 0.98 4000 1
q_skip[967] 0.944 0 0.011 0.921 0.936 0.945 0.952 0.964 4000 0.999
q_skip[968] 0.173 0 0.024 0.128 0.156 0.172 0.189 0.224 4000 1
q_skip[969] 0.002 0 0.002 0 0.001 0.001 0.003 0.008 4000 1
q_skip[970] 0.223 0 0.027 0.174 0.204 0.222 0.241 0.276 4000 1
q_skip[971] 0.252 0 0.026 0.202 0.233 0.251 0.269 0.305 4000 0.999
q_skip[972] 0.621 0 0.031 0.56 0.601 0.621 0.642 0.68 4000 0.999
q_skip[973] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1
q_skip[974] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[975] 0.906 0 0.014 0.878 0.897 0.907 0.916 0.93 4000 1
q_skip[976] 0.396 0 0.031 0.34 0.375 0.397 0.417 0.456 4000 1
q_skip[977] 0.399 0 0.03 0.341 0.378 0.398 0.419 0.459 4000 1
q_skip[978] 0.164 0 0.024 0.119 0.147 0.162 0.179 0.212 4000 1
q_skip[979] 0.173 0 0.025 0.127 0.156 0.172 0.189 0.225 4000 1
q_skip[980] 0.162 0 0.023 0.119 0.145 0.161 0.177 0.21 4000 0.999
q_skip[981] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 0.999
q_skip[982] 0.002 0 0.003 0 0.001 0.002 0.003 0.009 4000 1
q_skip[983] 0.003 0 0.002 0 0.001 0.002 0.004 0.009 4000 1
q_skip[984] 0.003 0 0.003 0 0.001 0.002 0.004 0.009 4000 1
q_skip[985] 0.002 0 0.002 0 0.001 0.002 0.003 0.009 4000 1
q_skip[986] 0.003 0 0.003 0 0.001 0.002 0.004 0.011 4000 0.999
q_skip[987] 0.199 0 0.026 0.151 0.181 0.198 0.217 0.253 4000 0.999
q_skip[988] 0.261 0 0.026 0.212 0.243 0.26 0.278 0.313 4000 1
q_skip[989] 0.003 0 0.003 0 0.001 0.002 0.004 0.012 4000 1
q_skip[990] 0.522 0 0.028 0.468 0.503 0.522 0.541 0.576 4000 1
q_skip[991] 0.07 0 0.016 0.042 0.058 0.068 0.08 0.102 4000 0.999
q_skip[992] 0.627 0 0.029 0.569 0.607 0.628 0.647 0.683 4000 0.999
q_skip[993] 0.179 0 0.024 0.135 0.162 0.178 0.195 0.228 4000 1.001
q_skip[994] 0.253 0 0.027 0.201 0.234 0.252 0.271 0.309 4000 1
q_skip[995] 0.003 0 0.003 0 0.001 0.002 0.004 0.01 4000 1
q_skip[996] 0.971 0 0.007 0.957 0.967 0.972 0.976 0.983 4000 1
q_skip[997] 0.65 0 0.028 0.593 0.632 0.651 0.67 0.704 4000 1
q_skip[998] 0.434 0 0.032 0.371 0.412 0.434 0.455 0.496 4000 0.999
q_skip[999] 0.969 0 0.008 0.953 0.965 0.97 0.975 0.983 4000 0.999
q_skip[1000] 0.002 0 0.002 0 0.001 0.002 0.003 0.008 4000 1.001
lp__ -174319.171 2.235 43.689 -174406.987 -174348.102 -174319.377 -174289.999 -174234.735 381.984 1.01
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