BBN_DALI_Plotter.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mpi4py\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pickle\n",
    "\n",
    "from cobaya.run import run\n",
    "\n",
    "from getdist.mcsamples import MCSamplesFromCobaya, loadMCSamples\n",
    "from getdist import gaussian_mixtures\n",
    "import getdist.plots as gdplt\n",
    "\n",
    "import matplotlib\n",
    "from matplotlib.lines import Line2D\n",
    "\n",
    "from sympy import symbols, diff, lambdify\n",
    "\n",
    "from itertools import combinations\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "plt.rcParams.update({\"text.usetex\": True,\"font.family\": \"serif\"})\n",
    "myColors = ['C1', 'C2', 'C4', 'C3']\n",
    "gdplot = gdplt.get_subplot_plotter()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "tau_prior = 0.6\n",
    "\n",
    "slurm_id= 38323256 #38322571\n",
    "job = f'BBN_paper3'\n",
    "\n",
    "dfbn = 'BBN_paper3'\n",
    "data_file_base=f'data_files/{dfbn}'\n",
    "save_name=f'BBN3_t{tau_prior}'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### const params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "gparams = ['eta10', 'N_nu', 'tau']\n",
    "removeParams = []\n",
    "fixedParams = {}\n",
    "\n",
    "experiment = 0\n",
    "spectrum = 'unlensed'\n",
    "useDali = True\n",
    "save_pdf = True\n",
    "cobaya_debug = False\n",
    "\n",
    "inc_base='/users/stevensonb/scratch/tmp/chains/incomplete'\n",
    "fin_base='/users/stevensonb/Research/DALI/chains'\n",
    "\n",
    "latex_trans = {\n",
    "    'omega_c_h2':r'\\Omega_\\mathrm{cdm}h^2', \n",
    "    'omega_b_h2':r'\\Omega_b h^2', \n",
    "    'N_eff':r'N_\\nu',\n",
    "    'N_nu':r'N_\\nu', # Just for the effect\n",
    "    'A_s':r'A_\\mathrm{s}', \n",
    "    'n_s':r'n_\\mathrm{s}', \n",
    "    'theta_s':r'\\theta_\\mathrm{s}',\n",
    "    'tau':r'\\tau_n\\;[s]',\n",
    "    'mnu':r'm_\\mathrm{\\nu}',\n",
    "    'eta10':r'\\eta_\\mathrm{10}'\n",
    "}\n",
    "\n",
    "i = 0 if tau_prior == 0.6 else tau_prior\n",
    "import os\n",
    "if os.path.exists(f'{fin_base}/complete/{job}/{slurm_id}/{i}/'):\n",
    "    exact_chain_path = f'{fin_base}/complete/{job}/{slurm_id}/{i}/{i}'\n",
    "elif os.path.exists(f'{inc_base}/{job}/{slurm_id}/{i}/'):\n",
    "    exact_chain_path=f'{inc_base}/{job}/{slurm_id}/{i}/{i}'\n",
    "else:\n",
    "    print(f'Could not find chain for {job} {slurm_id} {i}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Functions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Main data processing functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_data(dfile=f'{data_file_base}.pkl', fixed_params=fixedParams, prior=tau_prior):\n",
    "    params = {}\n",
    "    with open(dfile, 'rb') as f:\n",
    "        data = pickle.load(f)\n",
    "        fid = data['cosmoFid']\n",
    "        fisher = data['nfisherGaussian'][experiment][spectrum]\n",
    "        fisher[2,2] += 1/(prior**2)\n",
    "        \n",
    "    cov = np.linalg.inv(fisher)\n",
    "    \n",
    "    widths = {'eta10': 3, 'N_nu': 3, 'tau': 200}\n",
    "    for i, (k, v) in enumerate(fid.items()):\n",
    "        if k not in fixed_params:\n",
    "            val = {'ref': v, 'latex': latex_trans.get(k, k), 'prior': {'min': max(v-widths[k],0), 'max':v+widths[k]}}\n",
    "            params.update({k: val})\n",
    "        else:\n",
    "            params.update({k: {'value': fixed_params[k], 'latex': latex_trans.get(k, k)}})\n",
    "            \n",
    "    return params, fid, cov\n",
    "\n",
    "def get_model(data_file=f'{data_file_base}.pkl', fixed_params=fixedParams, prior=tau_prior):\n",
    "    params, cosmoFid, cov = get_data(data_file, fixed_params, prior=prior)\n",
    "    \n",
    "    model = {\n",
    "        'debug': cobaya_debug,\n",
    "        'likelihood': {\n",
    "            'dali': { \n",
    "                'python_path': 'likelihoods/dali',\n",
    "                'file': data_file,\n",
    "                'tau_prior': prior\n",
    "            }\n",
    "        },\n",
    "        'params': params,\n",
    "        'sampler': {\n",
    "            'mcmc': {\n",
    "                'covmat_params': list(params.keys()),\n",
    "                'covmat': cov,\n",
    "                'oversample_power': 0.8,\n",
    "                'proposal_scale': 1.5,\n",
    "                'Rminus1_stop': 0.0005,\n",
    "                'Rminus1_cl_stop': 0.2,\n",
    "                'max_tries': 1000,\n",
    "            }\n",
    "        }\n",
    "    }\n",
    "    return model\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Curvature Func"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Created on Tuesday, July 26, 2022, at 01:23 PM\n",
    "\n",
    "@author: Joe Ryan and Cynthia Trendafilova\n",
    "Modifications by: Brandon Stevenson\n",
    "\"\"\"\n",
    "def add_KBBN(bounds, \n",
    "grid_order = list(combinations(range(0, 3), r=2)), \n",
    "plot_order = list(combinations(range(0, 3), r=2)),\n",
    "contour_levels = [0, 2.3, 6.17], \n",
    "data_file = f'{data_file_base}.pkl',\n",
    "lws=[1, 1, 1],\n",
    "colors=myColors,\n",
    "exp=experiment, \n",
    "spec=spectrum,\n",
    "grid_size=16j,\n",
    "linspace_size=50,\n",
    "alphas=[0.5,0.5,1],\n",
    "prior=tau_prior,\n",
    "):\n",
    "    \"\"\"\n",
    "    Note: girid_order and plot_order must be the same length\n",
    "    \"\"\"\n",
    "\n",
    "    with open(f'{data_file_base}.pkl', 'rb') as f:\n",
    "        data_BBN = pickle.load(f)\n",
    "    \n",
    "    fid = data_BBN['cosmoFid']\n",
    "    F = data_BBN['nfisherGaussian'][exp][spec]\n",
    "    F[2,2] += 1/(prior**2)\n",
    "    G = data_BBN['nDALI3Gaussian'][exp][spec]\n",
    "    H = data_BBN['nDALI4Gaussian'][exp][spec]\n",
    "    \n",
    "    x = symbols('x', real=True)\n",
    "    y = symbols('y', real=True)\n",
    "\n",
    "    p_names = list(fid.keys())\n",
    "    p_fid = list(fid.values())\n",
    "\n",
    "    for q in range(0, len(plot_order), 1):        \n",
    "        i = plot_order[q][0]\n",
    "        j = plot_order[q][1]\n",
    "        ij = [i, j]\n",
    "        \n",
    "        p = [x - p_fid[i], y - p_fid[j]]\n",
    "        \n",
    "        sumF = (-1/2)*(F[i][i]*p[0]*p[0] + F[i][j]*p[0]*p[1] + F[j][i]*p[1]*p[0] + F[j][j]*p[1]*p[1])\n",
    "        sumG = 0\n",
    "        sumH = 0\n",
    "        \n",
    "        for a in range(0, 2, 1):\n",
    "            for b in range(0, 2, 1):\n",
    "                for c in range(0, 2, 1):\n",
    "                    sumG += (-1/2)*G[ij[a]][ij[b]][ij[c]]*p[a]*p[b]*p[c]\n",
    "        \n",
    "        for a in range(0, 2, 1):\n",
    "            for b in range(0, 2, 1):\n",
    "                for c in range(0, 2, 1):\n",
    "                    for d in range(0, 2, 1):\n",
    "                        sumH += (-1/8)*H[ij[a]][ij[b]][ij[c]][ij[d]]*p[a]*p[b]*p[c]*p[d]\n",
    "                        \n",
    "        Phi = -(sumF + sumG + sumH)\n",
    "        \n",
    "        Phi0 = diff(Phi, x)\n",
    "        Phi1 = diff(Phi, y)\n",
    "        \n",
    "        Phi00 = diff(Phi0, x)\n",
    "        Phi01 = diff(Phi0, y)\n",
    "        Phi11 = diff(Phi1, y)\n",
    "        \n",
    "        k = (Phi00*(Phi1**2) + Phi11*(Phi0**2) - 2*Phi1*Phi01*Phi0)/((Phi0**2 + Phi1**2)**(3/2))\n",
    "        K = lambdify([x, y], k)\n",
    "            \n",
    "        x0, x1 = np.mgrid[bounds[i][0]:bounds[i][1]:grid_size, bounds[j][0]:bounds[j][1]:grid_size]\n",
    "    \n",
    "        ### pass to lambdify'd functions\n",
    "        ### output is 2d array of curvatures\n",
    "        K_D = K(x0, x1)\n",
    "        \n",
    "        ### indices of negative values in DALI\n",
    "        negativeD = np.argwhere(K_D <= 0)\n",
    "        \n",
    "        ### save to output file\n",
    "        # savetxt('TEST_KBBNV1_negative_zero_doublet_16x16_grid_exact_deriv_sympy_' + str(i) + str(j) + '_' + datalab + '.txt', negativeD)\n",
    "    \n",
    "        ### Sanity check:\n",
    "        Phi_F = -sumF\n",
    "        \n",
    "        Phi0 = diff(Phi_F, x)\n",
    "        Phi1 = diff(Phi_F, y)\n",
    "        \n",
    "        Phi00 = diff(Phi0, x)\n",
    "        Phi01 = diff(Phi0, y)\n",
    "        Phi11 = diff(Phi1, y)\n",
    "        \n",
    "        k = (Phi00*(Phi1**2) + Phi11*(Phi0**2) - 2*Phi1*Phi01*Phi0)/((Phi0**2 + Phi1**2)**(3/2))\n",
    "        K = lambdify([x, y], k)\n",
    "            \n",
    "        x0, x1 = np.mgrid[bounds[i][0]:bounds[i][1]:grid_size, bounds[j][0]:bounds[j][1]:grid_size]\n",
    "    \n",
    "        ### pass to lambdify'd functions\n",
    "        ### output is 2d array of curvatures\n",
    "        K_F = K(x0, x1)\n",
    "        \n",
    "        ### indices of negative values in DALI\n",
    "        negativeF = np.argwhere(K_F <= 0)\n",
    "        \n",
    "        ### save to output file\n",
    "        # savetxt('TEST_KBBNV1_negative_zero_Fisher_16x16_grid_exact_deriv_sympy_' + str(i) + str(j) + '_' + datalab + '.txt', negativeF)\n",
    "        \n",
    "        #if len(negativeD) != 0:\n",
    "        X0 = []\n",
    "        X1 = []\n",
    "        \n",
    "        for u in np.arange(0, len(negativeD), 1):\n",
    "            I0 = negativeD[u][0]\n",
    "            I1 = negativeD[u][1]\n",
    "            \n",
    "            X0.append(x0[I0][I1])\n",
    "            X1.append(x1[I0][I1])\n",
    "            \n",
    "        ### Save coordinates:\n",
    "        # savetxt('coords_KBBNV1_negative_zero_doublet_16x16_grid_exact_deriv_sympy_' + str(i) + str(j) + '_' + datalab + '.txt', c_[X0, X1])\n",
    "    \n",
    "        ### Plot coordinates at which K <= 0 over Fisher and Doublet cross-section contours:\n",
    "       \n",
    "        X = np.linspace(bounds[i][0], bounds[i][1], linspace_size)\n",
    "        Y = np.linspace(bounds[j][0], bounds[j][1], linspace_size)\n",
    "        \n",
    "        Z = []\n",
    "        Z_F = []\n",
    "        xl = []\n",
    "        yl = []\n",
    "        \n",
    "        Phi_L = lambdify([x, y], Phi)\n",
    "        Phi_FL = lambdify([x, y], Phi_F)\n",
    "        for xc0 in X:\n",
    "            for xc1 in Y:\n",
    "                Z.append(Phi_L(xc0, xc1))\n",
    "                Z_F.append(Phi_FL(xc0, xc1))\n",
    "                xl.append(xc0)\n",
    "                yl.append(xc1)    \n",
    "\n",
    "        x_2d = np.reshape(xl, (linspace_size, linspace_size))\n",
    "        y_2d = np.reshape(yl, (linspace_size, linspace_size))\n",
    "        z_2d = np.reshape(Z, (linspace_size, linspace_size))\n",
    "        zf_2d = np.reshape(Z_F, (linspace_size, linspace_size))\n",
    "\n",
    "        # print(gdplot.fig.get_axes())\n",
    "        # ax = gdplot.fig.get_axes()[grid_order[q][0]][grid_order[q][1]]\n",
    "        ax = gdplot.get_axes(grid_order[q])\n",
    "        \n",
    "        # set labels in accordance with plotter style\n",
    "        lab_fontsize = gdplot._scaled_fontsize(gdplot.settings.axes_labelsize)\n",
    "        ax.set_xlabel('$'+latex_trans.get(p_names[i], p_names[i])+'$',  fontsize=lab_fontsize, verticalalignment='baseline', labelpad=4 + lab_fontsize)\n",
    "        ax.set_ylabel('$'+latex_trans.get(p_names[j] , p_names[j])+'$', fontsize=lab_fontsize)\n",
    "\n",
    "        tick_label_size = gdplot._scaled_fontsize(None, gdplot.settings.axes_fontsize)\n",
    "        ax.tick_params(which='major', labelsize=tick_label_size)\n",
    "        # ax.get_offset_text().set_fontsize(tick_label_size * 3 / 4 if tick_label_size > 7 else tick_label_size)\n",
    "\n",
    "        ax.set_xlim(bounds[i][0], bounds[i][1])\n",
    "        ax.set_ylim(bounds[j][0], bounds[j][1])\n",
    "        \n",
    "        ax.scatter(X0, X1, marker='.', color=colors[3], zorder=1, label='Concavity', alpha=alphas[0])\n",
    "        ax.contour(x_2d, y_2d, z_2d, contour_levels, colors=colors[1], linestyles='dashed', zorder=3, linewidths=lws[1], alpha=alphas[1]).collections[0].set_label('Doublet')\n",
    "        ax.contour(x_2d, y_2d, zf_2d, contour_levels, colors=colors[2], linestyles='dotted', zorder=2, linewidths=lws[2], alpha=alphas[2]).collections[0].set_label('Fisher')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Progress Report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from cobaya.samplers.mcmc import plot_progress\n",
    "\n",
    "# id=slurm_id\n",
    "# chain_loc=f'{inc_base}/{job}/{id}'\n",
    "# for i in [0,1,5,10,15,30]:\n",
    "#     path = f'{chain_loc}/{i}'\n",
    "#     if os.path.exists(path):\n",
    "#         plot_progress(f'{path}/{i}')\n",
    "#         plt.title(f'Chain {i}')\n",
    "#         plt.tight_layout()\n",
    "#         plt.show()\n",
    "#     else:\n",
    "#         print(f'Chain {i} does not exist at {path}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[dali] tau_prior: 0.6\n",
      "[mcmc] Getting initial point... (this may take a few seconds)\n",
      "[model] Measuring speeds... (this may take a few seconds)\n",
      "[model] Setting measured speeds (per sec): {dali: 3880.0}\n",
      "[mcmc] Covariance matrix loaded for params ['eta10', 'N_nu', 'tau']\n",
      "[mcmc] All parameters' covariance loaded from given covmat.\n",
      "[mcmc] Initial point: eta10:6.123, N_nu:3, tau:879.4\n",
      "[mcmc] Sampling!\n",
      "[mcmc] Progress @ 2022-11-08 17:20:37 : 1 steps taken, and 0 accepted.\n",
      "[mcmc] Learn + convergence test @ 120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.407\n",
      "[mcmc]  - Convergence of means: R-1 = 0.402296 after 96 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.472\n",
      "[mcmc]  - Convergence of means: R-1 = 0.378241 after 192 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.459\n",
      "[mcmc]  - Convergence of means: R-1 = 0.286219 after 288 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.128852 after 384 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.456\n",
      "[mcmc]  - Convergence of means: R-1 = 0.150227 after 480 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.054390 after 576 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.083251 after 672 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.087301 after 768 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 1080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.087622 after 864 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 1200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.114289 after 960 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 1320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.073730 after 1056 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 1440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.454\n",
      "[mcmc]  - Convergence of means: R-1 = 0.069370 after 1152 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 1560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.456\n",
      "[mcmc]  - Convergence of means: R-1 = 0.067130 after 1248 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 1680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.455\n",
      "[mcmc]  - Convergence of means: R-1 = 0.069982 after 1344 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 1800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.070363 after 1440 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 1920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.045549 after 1536 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 2040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.456\n",
      "[mcmc]  - Convergence of means: R-1 = 0.027021 after 1632 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 2160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.455\n",
      "[mcmc]  - Convergence of means: R-1 = 0.022019 after 1728 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 2280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.456\n",
      "[mcmc]  - Convergence of means: R-1 = 0.021217 after 1824 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 2400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.012267 after 1920 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 2520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.015447 after 2016 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 2640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.015607 after 2112 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 2760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.023810 after 2208 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 2880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.025020 after 2304 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 3000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.008885 after 2400 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 3120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.455\n",
      "[mcmc]  - Convergence of means: R-1 = 0.013323 after 2496 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 3240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.457\n",
      "[mcmc]  - Convergence of means: R-1 = 0.016118 after 2592 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 3360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.458\n",
      "[mcmc]  - Convergence of means: R-1 = 0.021808 after 2688 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 3480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.460\n",
      "[mcmc]  - Convergence of means: R-1 = 0.011960 after 2784 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 3600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.462\n",
      "[mcmc]  - Convergence of means: R-1 = 0.007503 after 2880 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 3720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.462\n",
      "[mcmc]  - Convergence of means: R-1 = 0.008217 after 2976 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 3840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.462\n",
      "[mcmc]  - Convergence of means: R-1 = 0.010847 after 3072 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 3960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.461\n",
      "[mcmc]  - Convergence of means: R-1 = 0.009964 after 3168 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 4080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.459\n",
      "[mcmc]  - Convergence of means: R-1 = 0.008466 after 3264 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 4200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.460\n",
      "[mcmc]  - Convergence of means: R-1 = 0.007870 after 3360 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 4320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.458\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005712 after 3456 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 4440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.458\n",
      "[mcmc]  - Convergence of means: R-1 = 0.007173 after 3552 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 4560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.459\n",
      "[mcmc]  - Convergence of means: R-1 = 0.006417 after 3648 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 4680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.455\n",
      "[mcmc]  - Convergence of means: R-1 = 0.009370 after 3744 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 4800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.455\n",
      "[mcmc]  - Convergence of means: R-1 = 0.007747 after 3840 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 4920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.455\n",
      "[mcmc]  - Convergence of means: R-1 = 0.010226 after 3936 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 5040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.454\n",
      "[mcmc]  - Convergence of means: R-1 = 0.006655 after 4032 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 5160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.011901 after 4128 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 5280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.012934 after 4224 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 5400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.454\n",
      "[mcmc]  - Convergence of means: R-1 = 0.010655 after 4320 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 5520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.010134 after 4416 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 5640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.007394 after 4512 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 5760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004994 after 4608 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 5880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.454\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004076 after 4704 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 6000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005757 after 4800 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 6120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.454\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004682 after 4896 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 6240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.454\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005610 after 4992 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 6360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.009874 after 5088 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 6480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.009953 after 5184 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 6600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.012855 after 5280 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 6720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.009327 after 5376 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 6840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.011041 after 5472 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 6960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.008160 after 5568 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 7080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005352 after 5664 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 7200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005028 after 5760 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 7320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002215 after 5856 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 7440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004294 after 5952 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 7560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005308 after 6048 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 7680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.006568 after 6144 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 7800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.006449 after 6240 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 7920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005814 after 6336 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 8040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.006076 after 6432 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 8160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.007209 after 6528 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 8280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.007824 after 6624 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 8400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.008714 after 6720 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 8520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.010580 after 6816 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 8640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.007937 after 6912 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 8760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.453\n",
      "[mcmc]  - Convergence of means: R-1 = 0.009155 after 7008 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 8880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.007533 after 7104 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 9000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005663 after 7200 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 9120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005230 after 7296 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 9240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005341 after 7392 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 9360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004480 after 7488 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 9480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004684 after 7584 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 9600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004536 after 7680 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 9720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003592 after 7776 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 9840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005126 after 7872 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 9960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004794 after 7968 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 10080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004040 after 8064 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 10200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005445 after 8160 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 10320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003805 after 8256 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 10440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003719 after 8352 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 10560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003142 after 8448 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 10680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004132 after 8544 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 10800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004466 after 8640 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 10920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005312 after 8736 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 11040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003961 after 8832 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 11160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004376 after 8928 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 11280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003254 after 9024 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 11400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002556 after 9120 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 11520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002919 after 9216 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 11640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002644 after 9312 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 11760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002728 after 9408 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 11880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.452\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002081 after 9504 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 12000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002758 after 9600 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 12120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.451\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001835 after 9696 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 12240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002157 after 9792 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 12360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001713 after 9888 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 12480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002117 after 9984 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 12600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002465 after 10080 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 12720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003327 after 10176 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 12840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004195 after 10272 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 12960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003123 after 10368 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 13080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003295 after 10464 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 13200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002840 after 10560 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 13320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005262 after 10656 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 13440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005801 after 10752 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 13560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005452 after 10848 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 13680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.007588 after 10944 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 13800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005533 after 11040 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 13920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003369 after 11136 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 14040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003818 after 11232 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 14160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003236 after 11328 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 14280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003084 after 11424 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 14400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003305 after 11520 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 14520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003014 after 11616 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 14640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003061 after 11712 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 14760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004136 after 11808 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 14880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004922 after 11904 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 15000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004758 after 12000 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 15120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005363 after 12096 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 15240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.006776 after 12192 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 15360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.006653 after 12288 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 15480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005024 after 12384 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 15600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004561 after 12480 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 15720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004550 after 12576 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 15840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003871 after 12672 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 15960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003176 after 12768 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 16080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003382 after 12864 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 16200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003413 after 12960 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 16320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003688 after 13056 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 16440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003154 after 13152 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 16560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003165 after 13248 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 16680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003398 after 13344 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 16800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003461 after 13440 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 16920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002822 after 13536 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 17040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003288 after 13632 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 17160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.444\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003495 after 13728 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 17280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003954 after 13824 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 17400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004180 after 13920 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 17520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004213 after 14016 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 17640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005914 after 14112 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 17760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005644 after 14208 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 17880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.444\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005439 after 14304 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 18000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.444\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005075 after 14400 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 18120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004701 after 14496 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 18240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004596 after 14592 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 18360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004818 after 14688 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 18480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004507 after 14784 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 18600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004636 after 14880 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 18720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005280 after 14976 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 18840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.445\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004815 after 15072 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 18960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004817 after 15168 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 19080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005173 after 15264 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 19200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005344 after 15360 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 19320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005304 after 15456 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 19440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005485 after 15552 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 19560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005211 after 15648 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 19680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004802 after 15744 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 19800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005481 after 15840 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 19920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.006436 after 15936 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 20040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.006725 after 16032 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 20160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.007025 after 16128 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 20280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.007820 after 16224 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 20400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.007393 after 16320 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 20520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.006842 after 16416 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 20640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.006444 after 16512 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 20760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.006171 after 16608 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 20880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005619 after 16704 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 21000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.005310 after 16800 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 21120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004852 after 16896 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 21240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004667 after 16992 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 21360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004482 after 17088 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 21480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003918 after 17184 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 21600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003638 after 17280 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 21720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003148 after 17376 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 21840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003092 after 17472 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 21960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002702 after 17568 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 22080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002624 after 17664 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 22200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003336 after 17760 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 22320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003263 after 17856 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 22440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003336 after 17952 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 22560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002640 after 18048 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 22680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002516 after 18144 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 22800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002481 after 18240 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 22920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002639 after 18336 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 23040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003079 after 18432 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 23160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002587 after 18528 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 23280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002613 after 18624 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 23400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002665 after 18720 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 23520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003074 after 18816 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 23640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002603 after 18912 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 23760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003066 after 19008 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 23880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002712 after 19104 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 24000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002947 after 19200 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 24120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002727 after 19296 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 24240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002440 after 19392 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 24360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002346 after 19488 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 24480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002149 after 19584 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 24600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001953 after 19680 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 24720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002370 after 19776 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 24840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002596 after 19872 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 24960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003375 after 19968 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 25080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002974 after 20064 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 25200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003285 after 20160 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 25320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002797 after 20256 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 25440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002630 after 20352 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 25560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002756 after 20448 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 25680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003412 after 20544 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 25800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003177 after 20640 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 25920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.004040 after 20736 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 26040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003470 after 20832 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 26160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002989 after 20928 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 26280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002459 after 21024 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 26400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002811 after 21120 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 26520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003755 after 21216 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 26640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003629 after 21312 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 26760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003061 after 21408 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 26880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002302 after 21504 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 27000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002422 after 21600 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 27120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002392 after 21696 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 27240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002475 after 21792 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 27360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002421 after 21888 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 27480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002263 after 21984 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 27600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001900 after 22080 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 27720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002091 after 22176 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 27840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002020 after 22272 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 27960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001998 after 22368 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 28080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001946 after 22464 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 28200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001942 after 22560 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 28320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001832 after 22656 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 28440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001839 after 22752 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 28560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001993 after 22848 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 28680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002136 after 22944 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 28800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002210 after 23040 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 28920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001970 after 23136 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 29040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001795 after 23232 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 29160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002275 after 23328 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 29280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002066 after 23424 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 29400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002034 after 23520 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 29520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002482 after 23616 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 29640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002601 after 23712 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 29760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003047 after 23808 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 29880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003128 after 23904 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 30000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002888 after 24000 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 30120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002853 after 24096 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 30240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003009 after 24192 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 30360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003467 after 24288 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 30480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003220 after 24384 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 30600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003138 after 24480 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 30720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003263 after 24576 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 30840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003014 after 24672 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 30960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002510 after 24768 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 31080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002505 after 24864 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 31200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002356 after 24960 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 31320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002152 after 25056 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 31440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002086 after 25152 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 31560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001985 after 25248 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 31680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002135 after 25344 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 31800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001849 after 25440 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 31920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002178 after 25536 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 32040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002511 after 25632 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 32160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002386 after 25728 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 32280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001975 after 25824 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 32400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001634 after 25920 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 32520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001978 after 26016 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 32640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001952 after 26112 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 32760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001843 after 26208 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 32880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001862 after 26304 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 33000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002195 after 26400 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 33120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002383 after 26496 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 33240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002823 after 26592 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 33360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003047 after 26688 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 33480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002476 after 26784 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 33600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002824 after 26880 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 33720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002850 after 26976 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 33840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002600 after 27072 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 33960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002406 after 27168 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 34080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002403 after 27264 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 34200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002804 after 27360 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 34320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002987 after 27456 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 34440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003049 after 27552 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 34560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003153 after 27648 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 34680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.003136 after 27744 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 34800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.002683 after 27840 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 34920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001976 after 27936 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 35040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001820 after 28032 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 35160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001744 after 28128 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 35280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001955 after 28224 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 35400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001779 after 28320 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 35520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001854 after 28416 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 35640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001762 after 28512 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 35760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001174 after 28608 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 35880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000940 after 28704 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 36000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000800 after 28800 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 36120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000757 after 28896 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 36240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000824 after 28992 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 36360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000580 after 29088 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 36480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000971 after 29184 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 36600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000808 after 29280 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 36720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000840 after 29376 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 36840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000764 after 29472 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 36960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000901 after 29568 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 37080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000904 after 29664 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 37200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000666 after 29760 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 37320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000764 after 29856 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 37440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000773 after 29952 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 37560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000675 after 30048 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 37680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000701 after 30144 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 37800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000750 after 30240 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 37920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000790 after 30336 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 38040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000710 after 30432 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 38160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000912 after 30528 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 38280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000769 after 30624 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 38400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000767 after 30720 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 38520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000883 after 30816 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 38640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.446\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001154 after 30912 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 38760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001181 after 31008 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 38880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001256 after 31104 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 39000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001394 after 31200 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 39120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001265 after 31296 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 39240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001179 after 31392 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 39360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001048 after 31488 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 39480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000986 after 31584 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 39600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001104 after 31680 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 39720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001307 after 31776 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 39840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001141 after 31872 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 39960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000961 after 31968 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 40080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000969 after 32064 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 40200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001112 after 32160 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 40320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001295 after 32256 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 40440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001262 after 32352 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 40560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001295 after 32448 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 40680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001288 after 32544 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 40800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001099 after 32640 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 40920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000913 after 32736 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 41040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000903 after 32832 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 41160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001114 after 32928 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 41280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001127 after 33024 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 41400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001144 after 33120 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 41520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001213 after 33216 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 41640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001525 after 33312 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 41760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001441 after 33408 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 41880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001450 after 33504 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 42000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001344 after 33600 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 42120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001239 after 33696 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 42240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001295 after 33792 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 42360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001024 after 33888 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 42480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001126 after 33984 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 42600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001346 after 34080 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 42720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001504 after 34176 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 42840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001241 after 34272 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 42960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001006 after 34368 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 43080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001178 after 34464 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 43200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001171 after 34560 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 43320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001385 after 34656 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 43440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001041 after 34752 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 43560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000985 after 34848 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 43680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000949 after 34944 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 43800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000975 after 35040 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 43920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000955 after 35136 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 44040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000710 after 35232 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 44160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000998 after 35328 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 44280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001195 after 35424 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 44400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001252 after 35520 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 44520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001313 after 35616 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 44640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001247 after 35712 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 44760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001471 after 35808 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Progress @ 2022-11-08 17:21:37 : 99870 steps taken, and 44760 accepted.\n",
      "[mcmc] Learn + convergence test @ 44880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001387 after 35904 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 45000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001344 after 36000 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 45120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001284 after 36096 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 45240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001290 after 36192 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 45360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001323 after 36288 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 45480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001283 after 36384 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 45600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001130 after 36480 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 45720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001105 after 36576 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 45840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000996 after 36672 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 45960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001205 after 36768 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 46080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001179 after 36864 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 46200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001118 after 36960 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 46320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000998 after 37056 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 46440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001145 after 37152 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 46560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001073 after 37248 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 46680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001285 after 37344 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 46800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001273 after 37440 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 46920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001440 after 37536 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 47040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001677 after 37632 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 47160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001286 after 37728 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 47280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001443 after 37824 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 47400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001572 after 37920 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 47520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001484 after 38016 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 47640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001308 after 38112 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 47760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001370 after 38208 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 47880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001508 after 38304 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 48000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001407 after 38400 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 48120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001331 after 38496 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 48240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001032 after 38592 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 48360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000862 after 38688 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 48480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000584 after 38784 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 48600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000560 after 38880 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 48720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000603 after 38976 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 48840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000572 after 39072 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 48960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000701 after 39168 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 49080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000632 after 39264 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 49200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000688 after 39360 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 49320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000648 after 39456 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 49440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000721 after 39552 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 49560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000687 after 39648 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 49680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000907 after 39744 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 49800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000932 after 39840 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 49920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000902 after 39936 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 50040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000865 after 40032 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 50160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000739 after 40128 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 50280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000773 after 40224 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 50400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000699 after 40320 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 50520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000716 after 40416 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 50640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000828 after 40512 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 50760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000663 after 40608 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 50880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000730 after 40704 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 51000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000645 after 40800 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 51120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000515 after 40896 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 51240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000587 after 40992 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 51360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000736 after 41088 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 51480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000867 after 41184 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 51600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000908 after 41280 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 51720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001069 after 41376 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 51840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001351 after 41472 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 51960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001530 after 41568 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 52080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001476 after 41664 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 52200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001350 after 41760 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 52320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001408 after 41856 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 52440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001213 after 41952 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 52560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001128 after 42048 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 52680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001224 after 42144 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 52800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001296 after 42240 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 52920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001185 after 42336 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 53040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.447\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001012 after 42432 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 53160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000900 after 42528 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 53280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000932 after 42624 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 53400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001024 after 42720 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 53520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000994 after 42816 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 53640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001159 after 42912 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 53760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001284 after 43008 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 53880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001264 after 43104 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 54000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001149 after 43200 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 54120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001009 after 43296 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 54240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001307 after 43392 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 54360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001147 after 43488 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 54480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001194 after 43584 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 54600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001333 after 43680 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 54720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001518 after 43776 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 54840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001582 after 43872 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 54960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001236 after 43968 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 55080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001147 after 44064 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 55200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001020 after 44160 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 55320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001010 after 44256 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 55440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001006 after 44352 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 55560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001124 after 44448 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 55680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001172 after 44544 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 55800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001309 after 44640 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 55920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001279 after 44736 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 56040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001198 after 44832 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 56160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001146 after 44928 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 56280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000964 after 45024 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 56400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.001106 after 45120 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 56520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000844 after 45216 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 56640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000802 after 45312 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 56760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000866 after 45408 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 56880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000748 after 45504 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 57000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000701 after 45600 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 57120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000819 after 45696 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 57240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000848 after 45792 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 57360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000882 after 45888 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 57480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000855 after 45984 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 57600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000804 after 46080 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 57720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000762 after 46176 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 57840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000830 after 46272 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 57960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000762 after 46368 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 58080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000791 after 46464 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 58200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000776 after 46560 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 58320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000722 after 46656 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 58440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000696 after 46752 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 58560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000629 after 46848 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 58680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000585 after 46944 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 58800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000693 after 47040 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 58920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000750 after 47136 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 59040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.448\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000676 after 47232 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 59160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000656 after 47328 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 59280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000740 after 47424 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 59400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000778 after 47520 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 59520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000740 after 47616 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 59640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000656 after 47712 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 59760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000659 after 47808 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 59880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000732 after 47904 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 60000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000777 after 48000 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 60120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000700 after 48096 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 60240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000751 after 48192 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 60360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000695 after 48288 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 60480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000642 after 48384 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 60600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000614 after 48480 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 60720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000684 after 48576 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 60840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000665 after 48672 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 60960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000687 after 48768 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 61080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000704 after 48864 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 61200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000726 after 48960 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 61320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000786 after 49056 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 61440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000836 after 49152 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 61560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000813 after 49248 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 61680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000820 after 49344 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 61800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000807 after 49440 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 61920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000766 after 49536 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 62040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000828 after 49632 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 62160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000837 after 49728 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 62280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000775 after 49824 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 62400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000716 after 49920 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 62520 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000666 after 50016 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 62640 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.449\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000730 after 50112 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 62760 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000778 after 50208 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 62880 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000594 after 50304 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 63000 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000666 after 50400 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 63120 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000685 after 50496 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 63240 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000615 after 50592 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 63360 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000692 after 50688 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 63480 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000544 after 50784 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 63600 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000576 after 50880 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 63720 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000665 after 50976 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 63840 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000594 after 51072 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 63960 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000600 after 51168 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 64080 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000585 after 51264 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 64200 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000598 after 51360 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 64320 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000618 after 51456 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 64440 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000619 after 51552 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 64560 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000756 after 51648 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 64680 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000742 after 51744 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 64800 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000748 after 51840 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 64920 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000715 after 51936 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 65040 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000694 after 52032 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 65160 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000582 after 52128 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 65280 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000377 after 52224 accepted steps\n",
      "[mcmc]  - Updated covariance matrix of proposal pdf.\n",
      "[mcmc] Learn + convergence test @ 65400 samples accepted.\n",
      "[mcmc]  - Acceptance rate: 0.450\n",
      "[mcmc]  - Convergence of means: R-1 = 0.000422 after 52320 accepted steps\n",
      "[mcmc]  - Convergence of bounds: R-1 = 0.025028 after 65400 accepted steps\n",
      "[mcmc] The run has converged!\n",
      "[mcmc] Sampling complete after 65400 accepted steps.\n"
     ]
    }
   ],
   "source": [
    "gdsExact = loadMCSamples(exact_chain_path)\n",
    "gdsExact.name_tag = 'Exact'\n",
    "\n",
    "with open(f'{data_file_base}.pkl', 'rb') as f: \n",
    "    data = pickle.load(f)  \n",
    "    fid = data['cosmoFid']\n",
    "    fisher = data['nfisherGaussian'][experiment][spectrum]\n",
    "    fisher[2,2] += 1/(tau_prior**2)\n",
    "    inv = np.linalg.inv(fisher)\n",
    "aFisher = gaussian_mixtures.GaussianND(list(fid.values()), inv, label='Fisher', names=list(fid.keys()), labels=[f'${latex_trans.get(k, k)}$' for k in fid.keys()])\n",
    "\n",
    "updatedDali, samplerDali = run(get_model())\n",
    "gdsDali = MCSamplesFromCobaya(updatedDali, samplerDali.products()[\"sample\"], name_tag='DALI')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Solo Plotter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# gdplot.triangle_plot(gdsExact, gparams, label='a', filled=True, colors=myColors, contour_colors=myColors)\n",
    "# gdplot.triangle_plot(aFisher, gparams, filled=True, colors=myColors, contour_colors=myColors)\n",
    "# gdplot.triangle_plot(gdsDali, gparams, filled=True, colors=myColors, contour_colors=myColors)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Finalize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gds = gdplt.GetDistPlotSettings()\n",
    "gds.fontsize=14\n",
    "# gds.axes_labelsize = 14\n",
    "# gds.axes_fontsize = 14\n",
    "gds.legend_fontsize=14\n",
    "gds.legend_frac_subplot_margin=1\n",
    "gds.scaling=False\n",
    "gds.tight_layout=False\n",
    "\n",
    "gdplot = gdplt.get_subplot_plotter(settings=gds)\n",
    "\n",
    "gdplot.triangle_plot([gdsExact, gdsDali, aFisher], \n",
    "                     gparams, \n",
    "                     filled=[True, True, False], \n",
    "                     colors=myColors, \n",
    "                     contour_colors=myColors, \n",
    "                     legend_ncol=3)\n",
    "\n",
    "xbounds = [gdplot.get_axes((0,0)).get_xlim(), gdplot.get_axes((1,1)).get_xlim(), gdplot.get_axes((2,2)).get_xlim()]\n",
    "add_KBBN(bounds=xbounds, \n",
    "         plot_order=[[1,0], [2,0], [2,1]], \n",
    "         contour_levels = [0, 2.3, 6.17], \n",
    "         lws=[1,1,1], \n",
    "         alphas=[1, 1, 1])\n",
    "\n",
    "#Clean up time\n",
    "a = gdplot.get_axes((0,1))\n",
    "b = gdplot.get_axes((0,2))\n",
    "c = gdplot.get_axes((1,2))\n",
    "\n",
    "# add bars to seperate the curvature from posteriors\n",
    "bar_thickness = 3.0\n",
    "a.spines['left'].set_linewidth(bar_thickness)\n",
    "a.spines['bottom'].set_linewidth(bar_thickness)\n",
    "c.spines['left'].set_linewidth(bar_thickness)\n",
    "c.spines['bottom'].set_linewidth(bar_thickness)\n",
    "\n",
    "#fix ticks and labels\n",
    "a.tick_params(axis='both', direction = 'in', labeltop = False, labelbottom = False, labelleft = False, labelright = False, top=True, bottom=True, left=False, right=True)\n",
    "b.tick_params(axis='both', direction = 'in', labeltop = False, labelbottom = False, labelleft = False, labelright = True, top=True, bottom=True, left=True, right=True)\n",
    "c.tick_params(axis='both', direction = 'in', labeltop = False, labelbottom = False, labelleft = False, labelright = True, top=True, bottom=True, left=False, right=True)\n",
    "\n",
    "# a.get_xaxis().set_label_position('top')\n",
    "a.get_yaxis().set_label_position('right')\n",
    "a.set_xlabel('')\n",
    "# b.get_xaxis().set_label_position(\"top\")\n",
    "b.get_yaxis().set_label_position(\"right\")\n",
    "b.set_ylabel(b.get_ylabel(), rotation=270, labelpad=16)\n",
    "c.get_yaxis().set_label_position(\"right\")\n",
    "c.set_ylabel(c.get_ylabel(), rotation=270, labelpad=16)\n",
    "c.set_xlabel('')\n",
    "\n",
    "#fix the tick labels\n",
    "a.set_xticks(gdplot.get_axes((1,1)).get_xticks())\n",
    "b.set_xticks(gdplot.get_axes((2,2)).get_xticks())\n",
    "c.set_xticks(gdplot.get_axes((2,2)).get_xticks())\n",
    "\n",
    "a.set_yticks(gdplot.get_axes((0,0)).get_xticks())\n",
    "b.set_yticks(gdplot.get_axes((0,0)).get_xticks())\n",
    "c.set_yticks(gdplot.get_axes((1,1)).get_xticks())\n",
    "\n",
    "# legends\n",
    "gdplot.legend.set_bbox_to_anchor((0.85, 0.015), transform=gdplot.fig.transFigure)\n",
    "gdplot.legend.set_title(r'$\\textbf{Marginalized likelihood contours}$')\n",
    "gdplot.legend.get_title().set_fontsize(16)\n",
    "\n",
    "legend_elements_upper = [Line2D([0], [0], marker='o', color='w', markersize=6, label = 'Concavity', markerfacecolor=myColors[3]),\n",
    "                         Line2D([0], [0], color=myColors[1], lw=1, label = 'DALI', linestyle='dashed'),\n",
    "                         Line2D([0], [0], color=myColors[2], lw=1, label = 'Fisher', linestyle='dotted')]\n",
    "myTitleFont = matplotlib.font_manager.FontProperties(weight='bold',size=16)\n",
    "legend2 = gdplot.fig.legend(handles=legend_elements_upper, fontsize=14, ncol=3,\\\n",
    "             bbox_to_anchor=(0.505,0.9), loc='lower center', borderaxespad=0)\n",
    "legend2.set_title(r'\\textbf{Likelihood cross-sections}',prop=myTitleFont)\n",
    "\n",
    "# for col in c.legend_elements():\n",
    "#       print(col)\n",
    "# legend2 = c.legend(ncol=3, bbox_to_anchor=(0.8, 1.065), bbox_transform=gdplot.fig.transFigure)\n",
    "# legend2.set_title(r'$\\textbf{Likelihood cross-sections}$')\n",
    "\n",
    "# fix overlapping of curvature points on some borders\n",
    "for ax in [a,b,c]:\n",
    "    for k, spine in ax.spines.items():\n",
    "        spine.set_zorder(10)\n",
    "        \n",
    "if save_pdf:\n",
    "    # export wasn't adjusting overall figure size to fit the curvature legend, so we do it manually\n",
    "    # gdplot.export(job + '.pdf')\n",
    "    gdplot.fig.savefig(f'{save_name}.pdf', bbox_extra_artists=gdplot.extra_artists + [legend2], bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  },
  "vscode": {
   "interpreter": {
    "hash": "7690a1a30c5580e20242c57122f55054a6ee3577c9eff0e7721e071b8ee863a3"
   }
  }
 },
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