Aizu Online Judge

model.stan

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)
          );
        }
      }
    }
  }
}

run-model.R

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')

summary-fit.txt

	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