diff --git a/code_new/NR_dynesty_t0_loop.ipynb b/code_new/NR_dynesty_t0_loop.ipynb
index 8d418371e3dd56f7417bebad636bce85f33e8883..681d8f1a1e1b2ee35e630ad84ed3edc115abe548 100644
--- a/code_new/NR_dynesty_t0_loop.ipynb
+++ b/code_new/NR_dynesty_t0_loop.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 222,
+   "execution_count": 286,
    "metadata": {},
    "outputs": [
     {
@@ -10,7 +10,7 @@
      "output_type": "stream",
      "text": [
       "usage: ipykernel_launcher.py [-h] [-c CONFIG_FILE]\n",
-      "ipykernel_launcher.py: error: unrecognized arguments: -f /home/francisco.jimenez/.local/share/jupyter/runtime/kernel-dad6ebd4-296f-4493-a902-6fde315fcd5e.json\n"
+      "ipykernel_launcher.py: error: unrecognized arguments: -f /home/francisco.jimenez/.local/share/jupyter/runtime/kernel-976255c1-9f4c-471c-966e-ca0fc33729f6.json\n"
      ]
     }
    ],
@@ -44,6 +44,12 @@
     "import argparse\n",
     "import scipy.optimize as optimization\n",
     "from scipy.optimize import minimize\n",
+    "from scipy.interpolate import interp1d\n",
+    "from pycbc.conversions import get_lm_f0tau_allmodes\n",
+    "from scipy.optimize import fsolve\n",
+    "from scipy.optimize import least_squares\n",
+    "\n",
+    "\n",
     "\n",
     "try:\n",
     "    parser = argparse.ArgumentParser(description=\"Simple argument parser\")\n",
@@ -55,14 +61,14 @@
     "    parser.sections()\n",
     "except SystemExit: \n",
     "    parser = ConfigParser()\n",
-    "    parser.read('config_n1.ini')\n",
+    "    parser.read('config_fixed_n1_m_af.ini')\n",
     "    parser.sections()\n",
     "    pass"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 223,
+   "execution_count": 287,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -78,12 +84,25 @@
     "output_folder = parser.get('output-folder','output-folder')\n",
     "overwrite = parser.get('setup','overwrite')\n",
     "downfactor = np.int(parser.get('setup','plot_down_factor'))\n",
-    "sampler = parser.get('setup','sampler')"
+    "sampler = parser.get('setup','sampler')\n",
+    "nr_code = parser.get('setup','nr_code')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 288,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if parser.has_option('setup','nb_cores'):\n",
+    "    nbcores = np.int(parser.get('setup','nb_cores'))\n",
+    "else:\n",
+    "    nbcores = 1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 224,
+   "execution_count": 289,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -94,12 +113,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 225,
+   "execution_count": 290,
    "metadata": {},
    "outputs": [],
    "source": [
     "# time config\n",
-    "\n",
     "tshift=parser.get('time-setup','tshift')\n",
     "tshift = np.float(tshift)\n",
     "\n",
@@ -112,7 +130,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 226,
+   "execution_count": 291,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -127,18 +145,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 227,
+   "execution_count": 292,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "model: w-tau\n",
+      "model: w-tau-fixed-m-af\n",
       "nmax: 1\n",
-      "tshift: 24.0\n",
-      "error: True\n",
-      "error value: 0.002\n"
+      "tshift: 0.0\n",
+      "error: False\n",
+      "error value: False\n"
      ]
     }
    ],
@@ -149,17 +167,18 @@
     "if error_str:\n",
     "    error_val=np.float(parser.get('rd-model','error_val'))\n",
     "    if error_val==0:\n",
-    "        error_type='NR_estimate'\n",
+    "        error_type=''\n",
     "    else:\n",
     "        error_type=error_val\n",
+    "else:\n",
+    "    error_type='False'\n",
+    "    error_val =0\n",
     "\n",
-    "\n",
-    "if model == 'w-tau':\n",
-    "    tau_var_str='tau'\n",
-    "elif model == 'w-q':\n",
-    "    tau_var_str='q'\n",
-    "elif model == 'w-tau-fixed':\n",
+    "if model == 'w-q':\n",
     "    tau_var_str='q'\n",
+    "else:\n",
+    "    tau_var_str='tau'\n",
+    "    \n",
     "\n",
     "print('model:',model)\n",
     "print('nmax:',nmax)\n",
@@ -170,9 +189,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 228,
+   "execution_count": 293,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Directory  /work/francisco.jimenez/sio/git/rdstackingproject/results_new/0305/w-tau-fixed-m-af-nmax1_False  Created \n"
+     ]
+    }
+   ],
    "source": [
     "if error_str:\n",
     "    output_folder_1=output_folder+'/'+model+'-nmax'+str(nmax)+'_'+str(error_str)+'_'+str(error_type)\n",
@@ -186,19 +213,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 276,
+   "execution_count": 294,
    "metadata": {},
    "outputs": [],
    "source": [
     "corner_plot=output_folder_1+'/Dynesty_'+str(simulation_number)+'_'+model+'_nmax='+str(nmax)+'_tshift='+str(tshift)+'_'+str(npoints)+'corner_plot.png'\n",
+    "corner_plot_extra=output_folder_1+'/Dynesty_'+str(simulation_number)+'_'+model+'_nmax='+str(nmax)+'_tshift='+str(tshift)+'_'+str(npoints)+'corner_plot_extra.png'\n",
     "diagnosis_plot=output_folder_1+'/Dynesty_diagnosis'+str(simulation_number)+'_'+model+'_nmax='+str(nmax)+'_tshift='+str(tshift)+'_'+str(npoints)+'.png'\n",
     "fit_plot=output_folder_1+'/Fit_results_'+str(simulation_number)+'tshift_'+str(tshift)+'_'+model+'_nmax_'+str(nmax)+'.png'\n",
-    "samples_file=output_folder_1+'/posterior_samples-'+str(simulation_number)+'tshift_'+str(tshift)+'_'+model+'_nmax_'+str(nmax)+'.csv'\n"
+    "samples_file=output_folder_1+'/posterior_samples-'+str(simulation_number)+'tshift_'+str(tshift)+'_'+model+'_nmax_'+str(nmax)+'.csv'"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 230,
+   "execution_count": 295,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -208,59 +236,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 231,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# loading priors\n",
-    "w_mins=np.empty(nmax+1)\n",
-    "w_maxs=np.empty(nmax+1)\n",
-    "tau_mins=np.empty(nmax+1)\n",
-    "tau_maxs=np.empty(nmax+1)\n",
-    "a_mins=np.empty(nmax+1)\n",
-    "a_maxs=np.empty(nmax+1)\n",
-    "ph_mins=np.empty(nmax+1)\n",
-    "ph_maxs=np.empty(nmax+1)\n",
-    "\n",
-    "\n",
-    "for i in range(nmax+1): \n",
-    "    wp_min=parser.get('prior-w'+str(i),'w'+str(i)+'_min')\n",
-    "    w_mins[i] = np.float(wp_min)\n",
-    "    \n",
-    "    wp_max=parser.get('prior-w'+str(i),'w'+str(i)+'_max')\n",
-    "    w_maxs[i] = np.float(wp_max)\n",
-    "    \n",
-    "    taup_min=parser.get('prior-'+tau_var_str+str(i),tau_var_str+str(i)+'_min')\n",
-    "    tau_mins[i] = np.float(taup_min)\n",
-    "    \n",
-    "    taup_max=parser.get('prior-'+tau_var_str+str(i),tau_var_str+str(i)+'_max')\n",
-    "    tau_maxs[i] = np.float(taup_max)\n",
-    "    \n",
-    "    amp0_min=parser.get('prior-amp'+str(i),'amp'+str(i)+'_min')\n",
-    "    a_mins[i] = np.float(amp0_min)\n",
-    "    \n",
-    "    amp1_max=parser.get('prior-amp'+str(i),'amp'+str(i)+'_max')\n",
-    "    a_maxs[i] = np.float(amp1_max)\n",
-    "    \n",
-    "    phase_min=parser.get('prior-phase'+str(i),'phase'+str(i)+'_min')\n",
-    "    ph_mins[i] = np.float(phase_min)*2*np.pi\n",
-    "    \n",
-    "    phase_max=parser.get('prior-phase'+str(i),'phase'+str(i)+'_max')\n",
-    "    ph_maxs[i] = np.float(phase_max)*2*np.pi\n",
-    "    \n",
-    "priors_min = np.concatenate((w_mins,tau_mins,a_mins,ph_mins))\n",
-    "priors_max = np.concatenate((w_maxs,tau_maxs,a_maxs,ph_maxs))\n",
-    "prior_dim = len(priors_min)\n",
-    "\n",
-    "if model == 'w-tau-fixed':\n",
-    "    priors_min = np.concatenate((a_mins,ph_mins))\n",
-    "    priors_max = np.concatenate((a_maxs,ph_maxs))\n",
-    "    prior_dim = len(priors_min)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 232,
+   "execution_count": 296,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -330,47 +306,191 @@
     "        ntau=np.roll(n, tau)\n",
     "        taus[tau] = t[tau]\n",
     "        res[tau]=np.sum(n*ntau).real\n",
-    "    return (taus[:int(len(n)/2)],res[:int(len(n)/2)])"
+    "    return (taus[:int(len(n)/2)],res[:int(len(n)/2)])\n",
+    "\n",
+    "def QNM_spectrum(mf,af,l,m):\n",
+    "    \n",
+    "    omegas_new = [qnm.modes_cache(s=-2,l=l,m=m,n=i)(a=af)[0] for i in range (0,dim)]\n",
+    "    w_m_a = (np.real(omegas_new))/mf\n",
+    "    tau_m_a=-1/(np.imag(omegas_new))*mf\n",
+    "    \n",
+    "    return (w_m_a, tau_m_a)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 233,
+   "execution_count": 297,
    "metadata": {},
    "outputs": [],
    "source": [
-    "#This loads the 22 mode data\n",
     "gw = {}\n",
     "gw[simulation_number] = h5py.File(simulation_path_1, 'r')\n",
-    "gw_sxs_bbh_0305 = gw[simulation_number][\"Extrapolated_N3.dir\"][\"Y_l2_m2.dat\"]\n",
+    "if nr_code=='SXS':\n",
+    "    gw_sxs_bbh_0305 = gw[simulation_number][\"Extrapolated_N3.dir\"][\"Y_l2_m2.dat\"]\n",
+    "    times = gw_sxs_bbh_0305[:,0]\n",
     "\n",
-    "\n",
-    "gw5 = {}\n",
-    "gw5[simulation_number] = h5py.File(simulation_path_2, 'r')\n",
-    "gw5_sxs_bbh_0305 = gw5[simulation_number][\"Extrapolated_N3.dir\"][\"Y_l2_m2.dat\"]\n",
+    "    gw5 = {}\n",
+    "    gw5[simulation_number] = h5py.File(simulation_path_2, 'r')\n",
+    "    gw5_sxs_bbh_0305 = gw5[simulation_number][\"Extrapolated_N3.dir\"][\"Y_l2_m2.dat\"]\n",
     "# Remember to download metadata.json from the simulation with number: 0305. Download Lev6/metadata.json\n",
     "# This postprocesses the metadata file to find the final mass and final spin\n",
-    "metadata = {}\n",
-    "with open(metadata_file) as file:\n",
-    "    metadata[simulation_number] = json.load(file)\n",
+    "    \n",
+    "elif nr_code=='Maya':\n",
+    "    gw_sxs_bbh_0305_amp = np.asarray(gw[simulation_number]['amp_l2_m2/Y'])[6:]\n",
+    "    gw_sxs_bbh_0305_amp_err = np.asarray(gw[simulation_number]['amp_l2_m2/errors'])\n",
+    "    times = np.asarray(gw[simulation_number]['amp_l2_m2/X'])[6:]\n",
+    "    gw_sxs_bbh_0305_amp_int = interp1d(times, -gw_sxs_bbh_0305_amp, kind='cubic')\n",
+    "    gw_sxs_bbh_0305_amp_errs_int = interp1d(times, gw_sxs_bbh_0305_amp_err, kind='cubic')\n",
+    "\n",
+    "    \n",
+    "    gw_sxs_bbh_0305_pha = np.asarray(gw[simulation_number]['phase_l2_m2/Y'])[6:]\n",
+    "    gw_sxs_bbh_0305_pha_err = np.asarray(gw[simulation_number]['phase_l2_m2/errors'])\n",
+    "    times = np.asarray(gw[simulation_number]['phase_l2_m2/X'])[6:]\n",
+    "    gw_sxs_bbh_0305_pha_int = interp1d(times, -gw_sxs_bbh_0305_pha, kind='cubic')\n",
+    "    gw_sxs_bbh_0305_pha_errs_int = interp1d(times, gw_sxs_bbh_0305_pha_err, kind='cubic')\n",
+    "\n",
+    "    amps=gw_sxs_bbh_0305_amp_int(times) \n",
+    "    amps_err=gw_sxs_bbh_0305_amp_errs_int(times) \n",
+    "\n",
+    "    phs=gw_sxs_bbh_0305_pha_int(times)\n",
+    "    phs_err=-gw_sxs_bbh_0305_pha_errs_int(times)\n",
+    "    \n",
+    "    gw_sxs_bbh_0305 = np.asarray([times,amps*np.cos(phs),amps*np.sin(phs)]).T\n",
+    "    gw5_sxs_bbh_0305 = np.asarray([times,(amps+amps_err)*np.cos(phs+phs_err),amps*np.sin(phs+phs_err)]).T\n",
+    "\n",
+    "elif nr_code=='LaZeV':\n",
+    "    gw_sxs_bbh_0305_amp = np.asarray(gw[simulation_number]['amp_l2_m2/Y'])[6:]\n",
+    "    gw_sxs_bbh_0305_amp_err = np.asarray(gw[simulation_number]['amp_l2_m2/errors'])\n",
+    "    times_1 = np.asarray(gw[simulation_number]['amp_l2_m2/X'])[6:]\n",
+    "    gw_sxs_bbh_0305_amp_int = interp1d(times_1, -gw_sxs_bbh_0305_amp, kind='cubic')\n",
+    "    gw_sxs_bbh_0305_amp_errs_int = interp1d(times_1, gw_sxs_bbh_0305_amp_err, kind='cubic')\n",
+    "    \n",
+    "    gw_sxs_bbh_0305_pha = np.asarray(gw[simulation_number]['phase_l2_m2/Y'])[6:]\n",
+    "    gw_sxs_bbh_0305_pha_err = np.asarray(gw[simulation_number]['phase_l2_m2/errors'])\n",
+    "    times = np.asarray(gw[simulation_number]['phase_l2_m2/X'])[6:]\n",
+    "    gw_sxs_bbh_0305_pha_int = interp1d(times, -gw_sxs_bbh_0305_pha, kind='cubic')\n",
+    "    gw_sxs_bbh_0305_pha_errs_int = interp1d(times, gw_sxs_bbh_0305_pha_err, kind='cubic')\n",
+    "    \n",
+    "    amps=gw_sxs_bbh_0305_amp_int(times_1) \n",
+    "    amps_err=gw_sxs_bbh_0305_amp_errs_int(times_1) \n",
+    "\n",
+    "    phs=gw_sxs_bbh_0305_pha_int(times_1)\n",
+    "    phs_err=-gw_sxs_bbh_0305_pha_errs_int(times_1)\n",
+    "    \n",
+    "    gw_sxs_bbh_0305 = np.asarray([times_1,amps*np.cos(phs),amps*np.sin(phs)]).T\n",
+    "    gw5_sxs_bbh_0305 = np.asarray([times_1,(amps+amps_err)*np.cos(phs+phs_err),amps*np.sin(phs+phs_err)]).T\n",
+    "    times=times_1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 298,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if nr_code=='SXS':\n",
+    "    metadata = {}\n",
+    "    with open(metadata_file) as file:\n",
+    "        metadata[simulation_number] = json.load(file)\n",
     "\n",
-    "af = metadata[simulation_number]['remnant_dimensionless_spin'][-1]\n",
-    "mf = metadata[simulation_number]['remnant_mass']\n",
+    "    af = metadata[simulation_number]['remnant_dimensionless_spin'][-1]\n",
+    "    mf = metadata[simulation_number]['remnant_mass']\n",
     "\n",
+    "elif nr_code=='Maya':\n",
+    "    af = 0.6861\n",
+    "    mf = 0.9515\n",
+    "\n",
+    "elif nr_code=='LaZeV':\n",
+    "    af = 0.692\n",
+    "    mf = 0.952\n",
+    "    \n",
     "#times --> x axis of your data\n",
     "times = gw_sxs_bbh_0305[:,0]\n",
-    "tmax=FindTmaximum(gw_sxs_bbh_0305)\n",
+    "tmax=FindTmaximum(gw_sxs_bbh_0305[round(len(gw_sxs_bbh_0305)/2):])\n",
     "times = times - tmax\n",
     "\n",
+    "\n",
     "#times 6--> x axis of your data\n",
     "times5 = gw5_sxs_bbh_0305[:,0]\n",
-    "tmax5=FindTmaximum(gw5_sxs_bbh_0305)\n",
+    "tmax5=FindTmaximum(gw5_sxs_bbh_0305[round(len(gw_sxs_bbh_0305)/2):])\n",
     "times5 = times5 - tmax5"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 234,
+   "execution_count": 299,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "w , tau = QNM_spectrum(mf,af,2,2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 300,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# loading priors\n",
+    "w_mins=np.empty(nmax+1)\n",
+    "w_maxs=np.empty(nmax+1)\n",
+    "tau_mins=np.empty(nmax+1)\n",
+    "tau_maxs=np.empty(nmax+1)\n",
+    "a_mins=np.empty(nmax+1)\n",
+    "a_maxs=np.empty(nmax+1)\n",
+    "ph_mins=np.empty(nmax+1)\n",
+    "ph_maxs=np.empty(nmax+1)\n",
+    "\n",
+    "for i in range(nmax+1): \n",
+    "    wp_min=parser.get('prior-w'+str(i),'w'+str(i)+'_min')\n",
+    "    w_mins[i] = np.float(wp_min)\n",
+    "    \n",
+    "    wp_max=parser.get('prior-w'+str(i),'w'+str(i)+'_max')\n",
+    "    w_maxs[i] = np.float(wp_max)\n",
+    "    \n",
+    "    taup_min=parser.get('prior-'+tau_var_str+str(i),tau_var_str+str(i)+'_min')\n",
+    "    tau_mins[i] = np.float(taup_min)\n",
+    "    \n",
+    "    taup_max=parser.get('prior-'+tau_var_str+str(i),tau_var_str+str(i)+'_max')\n",
+    "    tau_maxs[i] = np.float(taup_max)\n",
+    "    \n",
+    "    amp0_min=parser.get('prior-amp'+str(i),'amp'+str(i)+'_min')\n",
+    "    a_mins[i] = np.float(amp0_min)\n",
+    "    \n",
+    "    amp1_max=parser.get('prior-amp'+str(i),'amp'+str(i)+'_max')\n",
+    "    a_maxs[i] = np.float(amp1_max)\n",
+    "    \n",
+    "    phase_min=parser.get('prior-phase'+str(i),'phase'+str(i)+'_min')\n",
+    "    ph_mins[i] = np.float(phase_min)*2*np.pi\n",
+    "    \n",
+    "    phase_max=parser.get('prior-phase'+str(i),'phase'+str(i)+'_max')\n",
+    "    ph_maxs[i] = np.float(phase_max)*2*np.pi\n",
+    "    \n",
+    "priors_min = np.concatenate((w_mins,tau_mins,a_mins,ph_mins))\n",
+    "priors_max = np.concatenate((w_maxs,tau_maxs,a_maxs,ph_maxs))\n",
+    "prior_dim = len(priors_min)\n",
+    "priors=np.column_stack((priors_min,priors_max))\n",
+    "\n",
+    "if model == 'w-tau-fixed':\n",
+    "    priors_min = np.concatenate((a_mins,ph_mins))\n",
+    "    priors_max = np.concatenate((a_maxs,ph_maxs))\n",
+    "    prior_dim = len(priors_min)\n",
+    "    priors=np.column_stack((priors_min,priors_max))\n",
+    "\n",
+    "elif model ==  'w-tau-fixed-m-af':\n",
+    "    mass_min=[np.float(parser.get('prior-mass','mass_min'))]\n",
+    "    mass_max=[np.float(parser.get('prior-mass','mass_max'))]\n",
+    "    spin_min=[np.float(parser.get('prior-spin','spin_min'))]\n",
+    "    spin_max=[np.float(parser.get('prior-spin','spin_max'))]\n",
+    "    priors_min = np.concatenate((a_mins,ph_mins,mass_min,spin_min))\n",
+    "    priors_max = np.concatenate((a_maxs,ph_maxs,mass_max,spin_max))\n",
+    "    prior_dim = len(priors_min)\n",
+    "    priors=np.column_stack((priors_min,priors_max))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 301,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -385,16 +505,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 235,
+   "execution_count": 302,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fa2bec73ed0>"
+       "<matplotlib.legend.Legend at 0x7efb6b503fd0>"
       ]
      },
-     "execution_count": 235,
+     "execution_count": 302,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -423,57 +543,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 236,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fa2b2bf8350>"
-      ]
-     },
-     "execution_count": 236,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "#Test plot im part (data was picked in the last cell). Aligning in time\n",
-    "plt.figure(figsize = (12, 8))\n",
-    "plt.plot(timesrd, gw_sxs_bbh_0305rd[:,2], \"r\", alpha=0.3, lw=3, label=r'$Lev6: imag$')\n",
-    "plt.plot(timesrd, np.sqrt(gw_sxs_bbh_0305rd[:,1]**2+gw_sxs_bbh_0305rd[:,2]**2), \"r\", alpha=0.3, lw=3, label=r'$Lev5\\,amp$')\n",
-    "plt.plot(timesrd5, gw_sxs_bbh_0305rd5[:,2], \"b\", alpha=0.3, lw=3, label=r'$Lev5: imag$')\n",
-    "plt.plot(timesrd5, np.sqrt(gw_sxs_bbh_0305rd5[:,1]**2+gw_sxs_bbh_0305rd5[:,2]**2), \"b\", alpha=0.3, lw=3, label=r'$Lev5\\,amp$')\n",
-    "plt.legend()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 237,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Depending on nmax, you load nmax number of freqs. and damping times from the qnm package\n",
-    "omegas = [qnm.modes_cache(s=-2,l=2,m=2,n=i)(a=af)[0] for i in range (0,dim)]\n",
-    "w = (np.real(omegas))/mf\n",
-    "tau=-1/(np.imag(omegas))*mf"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 238,
+   "execution_count": 303,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -486,7 +556,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 239,
+   "execution_count": 304,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -506,45 +576,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 240,
+   "execution_count": 305,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0.8998695712743938"
-      ]
-     },
-     "execution_count": 240,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "taus, corr= twopoint_autocovariance(timesrd,gwdatanew-gwdatanew5)\n",
-    "plt.figure(figsize = (12, 8))\n",
-    "plt.plot(taus, corr,'ro')\n",
-    "plt.show()\n",
-    "vmax=np.max(corr)\n",
-    "index = np.argmax(corr == vmax)\n",
-    "taus[index]"
+    "#taus, corr= twopoint_autocovariance(timesrd,gwdatanew-gwdatanew5)\n",
+    "#plt.figure(figsize = (12, 8))\n",
+    "#plt.plot(taus, corr,'ro')\n",
+    "#plt.show()\n",
+    "#vmax=np.max(corr)\n",
+    "#index = np.argmax(corr == vmax)\n",
+    "#taus[index]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 241,
+   "execution_count": 306,
    "metadata": {},
    "outputs": [
     {
@@ -567,7 +614,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 242,
+   "execution_count": 307,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -583,152 +630,50 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 243,
+   "execution_count": 308,
    "metadata": {},
    "outputs": [],
    "source": [
-    "if error_str and error_val==0:\n",
-    "    error = np.sqrt(gwdatanew*gwdatanew-2*gwdatanew*gwdatanew5+gwdatanew5*gwdatanew5)\n",
-    "    error_est=np.sqrt(error.imag**2+error.real**2)\n",
-    "    plt.figure(figsize = (12, 8))\n",
-    "    plt.xlim(0,80)\n",
-    "    plt.plot(timesrd_final, np.abs(gwdatanew)/error_est, \"r\", alpha=0.3, lw=2, label='Lev6')\n",
-    "    plt.legend()"
+    "if parser.has_option('rd-model','phase_alignment'):\n",
+    "    phase_alignment=eval(parser.get('rd-model','phase_alignment'))    \n",
+    "else:\n",
+    "    phase_alignment=False"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 244,
+   "execution_count": 309,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7fa2b5b595d0>]"
-      ]
-     },
-     "execution_count": 244,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Phase alignement\n",
-    "phas = np.angle(gwdatanew)\n",
-    "phas = np.unwrap(phas)\n",
-    "phas5 = np.angle(gwdatanew5)\n",
-    "phas5 = np.unwrap(phas5)\n",
-    "plt.plot(timesrd_final, phas, \"r\", alpha=0.3, lw=3, label=r'$phase$')\n",
-    "plt.plot(timesrd_final, phas5, \"blue\", alpha=0.3, lw=3, label=r'$phase$')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 245,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.20722293240753042\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7fa2b1e35190>]"
-      ]
-     },
-     "execution_count": 245,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "position = np.argmax(timesrd_final >= (t_align))\n",
-    "dphase = phas5[position]-phas[position]\n",
-    "print(dphase)\n",
-    "\n",
-    "gwdatanew = (gwdatanew_re - 1j*gwdatanew_im)*np.exp(1j*dphase)\n",
-    "#gw_sxs_bbh_0305rd6=gw6_sxs_bbh_0305[position6:-1]\n",
-    "#timesrd=gw_sxs_bbh_0305[position:-1][:,0][:920]\n",
-    "phas = np.angle(gwdatanew)\n",
-    "phas = np.unwrap(phas)\n",
-    "\n",
-    "phas5 = np.angle(gwdatanew5)\n",
-    "phas5 = np.unwrap(phas5)\n",
-    "plt.plot(timesrd_final, phas, \"r\", alpha=0.3, lw=3, label=r'$phase$')\n",
-    "plt.plot(timesrd_final, phas5, \"blue\", alpha=0.3, lw=3, label=r'$phase$')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 246,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "error estimate: 0.007733513376553806\n",
-      "mismatch: 2.9903614572668324e-05\n",
-      "snr: 1194.6164108903329\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "379.7577893022749"
-      ]
-     },
-     "execution_count": 246,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mismatch=1-EasyMatchT(timesrd_final,gwdatanew,gwdatanew5,0,+90)\n",
-    "error=np.sqrt(2*mismatch)\n",
-    "print('error estimate:',error)\n",
-    "print('mismatch:', mismatch)\n",
-    "print('snr:', EasySNRT(timesrd_final,gwdatanew,gwdatanew5,0,0+90)/error)\n",
-    "if error_str:\n",
-    "    error = np.sqrt(gwdatanew*gwdatanew-2*gwdatanew*gwdatanew5+gwdatanew5*gwdatanew5)\n",
-    "    error_est=np.sqrt(error.imag**2+error.real**2)\n",
-    "else :\n",
-    "    error = 1 \n",
+    "if phase_alignment:\n",
+    "    phas = np.angle(gwdatanew)\n",
+    "    phas = np.unwrap(phas)\n",
+    "    phas5 = np.angle(gwdatanew5)\n",
+    "    phas5 = np.unwrap(phas5)\n",
+    "    position = np.argmax(timesrd_final >= (t_align))\n",
+    "    dphase = phas5[position]-phas[position]\n",
+    "    gwdatanew = (gwdatanew_re - 1j*gwdatanew_im)*np.exp(1j*dphase)\n",
+    "    gw_sxs_bbh_0305rd6=gw6_sxs_bbh_0305[position6:-1]\n",
+    "    timesrd=gw_sxs_bbh_0305[position:-1][:,0][:920]\n",
+    "    mismatch=1-EasyMatchT(timesrd_final,gwdatanew,gwdatanew5,0,+90)\n",
+    "    error=np.sqrt(2*mismatch)\n",
+    "    print('error estimate:',error)\n",
+    "    print('mismatch:', mismatch)\n",
+    "    print('snr:', EasySNRT(timesrd_final,gwdatanew,gwdatanew5,0,0+90)/error)\n",
+    "    if error_str:\n",
+    "        error = np.sqrt(gwdatanew*gwdatanew-2*gwdatanew*gwdatanew5+gwdatanew5*gwdatanew5)\n",
+    "        error_est=np.sqrt(error.imag**2+error.real**2)\n",
+    "    else :\n",
+    "        error = 1 \n",
     "\n",
-    "EasySNRT(timesrd_final,gwdatanew,gwdatanew5/error,0,0+90)"
+    "    EasySNRT(timesrd_final,gwdatanew,gwdatanew5/error,0,0+90)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 247,
+   "execution_count": 310,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -743,7 +688,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 248,
+   "execution_count": 311,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -756,7 +701,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 249,
+   "execution_count": 312,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -771,11 +716,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 250,
+   "execution_count": 313,
    "metadata": {},
    "outputs": [],
    "source": [
     "#Take the piece of waveform you want\n",
+    "tshift=0\n",
     "position_in = np.argmax(timesrd_final >= tshift)\n",
     "position_end = np.argmax(timesrd_final >= tend)\n",
     "timesrd_final_tsh = timesrd_final[position_in:position_end]\n",
@@ -783,13 +729,17 @@
     "gwdatanew_im_tsh = gwdatanew_im[position_in:position_end]\n",
     "if error_str and error_val==0:\n",
     "    error_tsh=error[position_in:position_end]\n",
+    "elif error_str and error_val!=0:\n",
+    "    gwdatanew_re_tsh+=random.uniform(0, error_val)\n",
+    "    gwdatanew_im_tsh+=random.uniform(0, error_val)\n",
+    "    error_tsh=error_val\n",
     "else:\n",
-    "    error_tsh=error_val"
+    "    error_tsh=1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 251,
+   "execution_count": 314,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -839,6 +789,22 @@
     "    # -1j to agree with SXS convention\n",
     "    return ansatz\n",
     "\n",
+    "def model_dv_ma(theta):\n",
+    "    #x0, y0= theta\n",
+    "    #Your nmax might not align with the dim of theta. Better check it here.\n",
+    "    xvars = theta[ : (dim)]\n",
+    "    yvars = theta[(dim) : 2*(dim)]\n",
+    "    mass_vars = np.float(theta[-2])\n",
+    "    spin_vars = np.float(theta[-1])\n",
+    "    \n",
+    "    w_m_a , tau_m_a = QNM_spectrum(mass_vars,spin_vars,2,2)\n",
+    "    \n",
+    "    ansatz = 0\n",
+    "    for i in range (0,dim):\n",
+    "        ansatz += (xvars[i]*np.exp(1j*yvars[i]))*np.exp(-timesrd_final_tsh/tau_m_a[i]) * (np.cos(w_m_a[i]*timesrd_final_tsh)-1j*np.sin(w_m_a[i]*timesrd_final_tsh))\n",
+    "    # -1j to agree with SXS convention\n",
+    "    return ansatz\n",
+    "\n",
     "# Logprior distribution. It defines the allowed range my variables can vary over. \n",
     "#It works for the (xn*Exp[iyn]) version. \n",
     "\n",
@@ -867,116 +833,144 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 252,
+   "execution_count": 315,
    "metadata": {},
    "outputs": [],
    "source": [
-    "dict = {'w-tau': model_dv_tau , 'w-q': model_dv_q, 'w-tau-fixed': model_dv}"
+    "dict = {'w-tau': model_dv_tau , 'w-q': model_dv_q, 'w-tau-fixed': model_dv,'w-tau-fixed-m-af': model_dv_ma}"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 253,
+   "execution_count": 316,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Maximum likelihood estimates:\n",
-      "[1. 1. 1. 1. 1. 1. 1. 1.]\n"
-     ]
-    }
-   ],
+   "outputs": [],
+   "source": [
+    "#nmax=2\n",
+    "#dim = nmax+1\n",
+    "#ndim = 4*dim\n",
+    "\n",
+    "# loading priors\n",
+    "#w_mins=np.empty(nmax+1)\n",
+    "#w_maxs=np.empty(nmax+1)\n",
+    "#tau_mins=np.empty(nmax+1)\n",
+    "#tau_maxs=np.empty(nmax+1)\n",
+    "#a_mins=np.empty(nmax+1)\n",
+    "#a_maxs=np.empty(nmax+1)\n",
+    "#ph_mins=np.empty(nmax+1)\n",
+    "#ph_maxs=np.empty(nmax+1)\n",
+    "\n",
+    "\n",
+    "#for i in range(nmax+1): \n",
+    "#    wp_min=parser.get('prior-w'+str(i),'w'+str(i)+'_min')\n",
+    "#    w_mins[i] = np.float(wp_min)\n",
+    "    \n",
+    "#    wp_max=parser.get('prior-w'+str(i),'w'+str(i)+'_max')\n",
+    "#    w_maxs[i] = np.float(wp_max)\n",
+    "    \n",
+    "#    taup_min=parser.get('prior-'+tau_var_str+str(i),tau_var_str+str(i)+'_min')\n",
+    "#    tau_mins[i] = np.float(taup_min)\n",
+    "    \n",
+    "#    taup_max=parser.get('prior-'+tau_var_str+str(i),tau_var_str+str(i)+'_max')\n",
+    "#    tau_maxs[i] = np.float(taup_max)\n",
+    "    \n",
+    "#    amp0_min=parser.get('prior-amp'+str(i),'amp'+str(i)+'_min')\n",
+    "#    a_mins[i] = np.float(amp0_min)\n",
+    "    \n",
+    "#    amp1_max=parser.get('prior-amp'+str(i),'amp'+str(i)+'_max')\n",
+    "#    a_maxs[i] = np.float(amp1_max)\n",
+    "    \n",
+    "#    phase_min=parser.get('prior-phase'+str(i),'phase'+str(i)+'_min')\n",
+    "#    ph_mins[i] = np.float(phase_min)*2*np.pi\n",
+    "    \n",
+    "#    phase_max=parser.get('prior-phase'+str(i),'phase'+str(i)+'_max')\n",
+    "#    ph_maxs[i] = np.float(phase_max)*2*np.pi\n",
+    "    \n",
+    "#priors_min = np.concatenate((w_mins,tau_mins,a_mins,ph_mins))\n",
+    "#priors_max = np.concatenate((w_maxs,tau_maxs,a_maxs,ph_maxs))\n",
+    "#prior_dim = len(priors_min)\n",
+    "\n",
+    "#nll = lambda *args: -log_likelihood(*args)\n",
+    "#initial = [w[0],w[1],w[2],tau[0],tau[1],tau[2],a_maxs[0]/2,a_maxs[1]/2,a_maxs[2]/2,1,1,1]\n",
+    "#bic2=np.ones(len(range(20)))\n",
+    "\n",
+    "#for tshift in range(20):\n",
+    "#    position_in = np.argmax(timesrd_final >= tshift)\n",
+    "#    position_end = np.argmax(timesrd_final >= tend)\n",
+    "#    timesrd_final_tsh = timesrd_final[position_in:position_end]\n",
+    "#    gwdatanew_re_tsh = gwdatanew_re[position_in:position_end]\n",
+    "#    gwdatanew_im_tsh = gwdatanew_im[position_in:position_end]\n",
+    "#    error_tsh=error[position_in:position_end]\n",
+    "\n",
+    "#    soln = minimize(nll, initial)\n",
+    "#    vars_ml=soln.x\n",
+    "#    initial = vars_ml\n",
+    "#    bic2[tshift]=2*log_likelihood(vars_ml)+len(timesrd_final_tsh)*np.log(len(timesrd_final_tsh))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 317,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#plt.figure(figsize = (12, 8))\n",
+    "#plt.plot(np.abs(bic4), \"r\", alpha=0.3, lw=3, label=r'$bic: 4$')\n",
+    "#plt.plot(np.abs(bic3), \"b\", alpha=0.3, lw=3, label=r'$bic: 3$')\n",
+    "#plt.plot(np.abs(bic2), \"cyan\", alpha=0.3, lw=3, label=r'$bic: 2$')\n",
+    "#plt.yscale('log')\n",
+    "#plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 322,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "#I need to provid an initial guess for 4*(nmax+1) the parameters\n",
-    "np.random.seed(42)\n",
     "nll = lambda *args: -log_likelihood(*args)\n",
-    "initial = np.ones(prior_dim)\n",
-    "soln = minimize(nll, initial)\n",
-    "#x0_ml, y0_ml, a0_ml, b0_ml = soln.x\n",
-    "print(\"Maximum likelihood estimates:\")\n",
-    "vars_ml=soln.x\n",
-    "print(vars_ml)"
+    "if model == 'w-tau-fixed-m-af':\n",
+    "    initial = np.concatenate((np.ones(2*dim),[0.8,0.9]))\n",
+    "    soln = minimize(nll, initial,bounds=priors)\n",
+    "    vars_ml=soln.x\n",
+    "elif model == 'w-tau-fixed':\n",
+    "    initial = np.ones(2*dim)\n",
+    "    soln = minimize(nll, initial,bounds=priors)\n",
+    "    vars_ml=soln.x\n",
+    "else:\n",
+    "    initial = np.ones(ndim)\n",
+    "    soln = minimize(nll, initial,bounds=priors)\n",
+    "    vars_ml=soln.x"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 254,
+   "execution_count": 323,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "28634it [04:27, 56.11it/s, bound: 40 | nc: 25 | ncall: 528233 | eff(%):  5.421 | loglstar:   -inf < -7445.269 <    inf | logz: -7459.503 +/-  0.083 | dlogz: 7339.009 >  0.010]    /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "/work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:216: UserWarning: Random number generation appears to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random number generation appears to be \"\n",
-      "32523it [05:32, 51.19it/s, bound: 52 | nc: 25 | ncall: 651710 | eff(%):  4.990 | loglstar:   -inf < -4527.727 <    inf | logz: -4544.193 +/-  0.087 | dlogz: 4423.386 >  0.010]  /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "33174it [05:43, 69.85it/s, bound: 54 | nc: 25 | ncall: 674069 | eff(%):  4.921 | loglstar:   -inf < -4169.879 <    inf | logz: -4186.169 +/-  0.089 | dlogz: 4065.196 >  0.010]  /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "36389it [06:37, 79.73it/s, bound: 67 | nc: 25 | ncall: 770441 | eff(%):  4.723 | loglstar:   -inf < -2796.782 <    inf | logz: -2813.183 +/-  0.089 | dlogz: 2711.848 >  0.010]  /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "37059it [06:48, 78.23it/s, bound: 69 | nc: 25 | ncall: 792546 | eff(%):  4.676 | loglstar:   -inf < -2576.962 <    inf | logz: -2593.214 +/-  0.089 | dlogz: 2491.624 >  0.010] /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "37134it [06:51, 25.81it/s, bound: 70 | nc: 25 | ncall: 797087 | eff(%):  4.659 | loglstar:   -inf < -2550.963 <    inf | logz: -2566.953 +/-  0.088 | dlogz: 2465.250 >  0.010]  /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "38799it [07:21, 25.35it/s, bound: 75 | nc: 25 | ncall: 855622 | eff(%):  4.535 | loglstar:   -inf < -2098.197 <    inf | logz: -2114.713 +/-  0.088 | dlogz: 2040.432 >  0.010] /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "38988it [07:26, 61.19it/s, bound: 76 | nc: 25 | ncall: 864539 | eff(%):  4.510 | loglstar:   -inf < -2055.416 <    inf | logz: -2072.108 +/-  0.088 | dlogz: 1997.840 >  0.010]  /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "39028it [07:28, 37.16it/s, bound: 76 | nc: 25 | ncall: 868525 | eff(%):  4.494 | loglstar:   -inf < -2047.940 <    inf | logz: -2064.296 +/-  0.087 | dlogz: 1989.934 >  0.010] /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:216: UserWarning: Random number generation appears to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random number generation appears to be \"\n",
-      "40922it [08:03, 53.40it/s, bound: 83 | nc: 25 | ncall: 933889 | eff(%):  4.382 | loglstar:   -inf < -1640.295 <    inf | logz: -1657.052 +/-  0.089 | dlogz: 1612.521 >  0.010] /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "41110it [08:07, 72.13it/s, bound: 84 | nc: 25 | ncall: 941802 | eff(%):  4.365 | loglstar:   -inf < -1605.116 <    inf | logz: -1621.948 +/-  0.090 | dlogz: 1577.373 >  0.010]/work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "41865it [08:19, 58.90it/s, bound: 85 | nc: 25 | ncall: 966044 | eff(%):  4.334 | loglstar:   -inf < -1461.913 <    inf | logz: -1478.739 +/-  0.090 | dlogz: 1433.941 >  0.010] /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "41894it [08:20, 27.81it/s, bound: 86 | nc: 25 | ncall: 968412 | eff(%):  4.326 | loglstar:   -inf < -1456.663 <    inf | logz: -1474.096 +/-  0.091 | dlogz: 1429.434 >  0.010]/work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "56306it [11:58, 32.92it/s, bound: 138 | nc: 25 | ncall: 1356774 | eff(%):  4.150 | loglstar:   -inf < -259.691 <    inf | logz: -278.557 +/-  0.094 | dlogz: 259.323 >  0.010]   /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "58449it [12:29, 81.77it/s, bound: 144 | nc: 25 | ncall: 1416169 | eff(%):  4.127 | loglstar:   -inf < -202.575 <    inf | logz: -221.644 +/-  0.095 | dlogz: 201.867 >  0.010]  /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "/work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:216: UserWarning: Random number generation appears to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random number generation appears to be \"\n",
-      "64130it [13:56, 77.31it/s, bound: 171 | nc: 25 | ncall: 1566355 | eff(%):  4.094 | loglstar:   -inf < -104.611 <    inf | logz: -124.434 +/-  0.097 | dlogz: 103.226 >  0.010]/work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "68158it [14:56, 76.25it/s, bound: 184 | nc: 25 | ncall: 1675887 | eff(%):  4.067 | loglstar:   -inf < -66.567 <    inf | logz: -86.923 +/-  0.098 | dlogz: 64.705 >  0.010]   /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "/work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:216: UserWarning: Random number generation appears to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random number generation appears to be \"\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "82630it [18:26, 69.44it/s, bound: 231 | nc: 25 | ncall: 2057246 | eff(%):  4.017 | loglstar:   -inf < -17.566 <    inf | logz: -39.695 +/-  0.103 | dlogz: 17.313 >  0.010] /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "82975it [18:31, 57.32it/s, bound: 232 | nc: 25 | ncall: 2068800 | eff(%):  4.011 | loglstar:   -inf < -17.089 <    inf | logz: -39.319 +/-  0.103 | dlogz: 16.851 >  0.010] /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "111233it [25:23, 74.36it/s, bound: 338 | nc: 25 | ncall: 2817701 | eff(%):  3.948 | loglstar:   -inf < -3.127 <    inf | logz: -29.857 +/-  0.111 | dlogz:  1.858 >  0.010] /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "116130it [26:31, 81.16it/s, bound: 351 | nc: 25 | ncall: 2951916 | eff(%):  3.934 | loglstar:   -inf < -2.275 <    inf | logz: -29.552 +/-  0.112 | dlogz:  0.775 >  0.010] /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "134040it [30:28, 86.87it/s, bound: 397 | nc: 25 | ncall: 3430474 | eff(%):  3.907 | loglstar:   -inf < -0.799 <    inf | logz: -29.301 +/-  0.113 | dlogz:  0.012 >  0.010] /work/francisco.jimenez/local/python-3.7.7/lib/python3.7/site-packages/dynesty/sampling.py:238: UserWarning: Random walk proposals appear to be extremely inefficient. Adjusting the scale-factor accordingly.\n",
-      "  warnings.warn(\"Random walk proposals appear to be \"\n",
-      "134682it [30:37, 73.28it/s, +4000 | bound: 399 | nc: 1 | ncall: 3449527 | eff(%):  4.020 | loglstar:   -inf < -0.234 <    inf | logz: -29.293 +/-  0.113 | dlogz:  0.000 >  0.010]\n"
+      "28308it [54:09,  8.71it/s, +2000 | bound: 106 | nc: 1 | ncall: 600714 | eff(%):  5.045 | loglstar:   -inf < -0.147 <    inf | logz: -9.689 +/-  0.083 | dlogz:  0.000 >  0.010]\n"
      ]
     }
    ],
    "source": [
-    "f2=dynesty.NestedSampler(log_likelihood, prior_transform, prior_dim, nlive=npoints,sample=sampler)\n",
-    "f2.run_nested(dlogz=0.01)"
+    "mypool = Pool(nbcores)\n",
+    "mypool.size = nbcores\n",
+    "\n",
+    "f2=dynesty.NestedSampler(log_likelihood, prior_transform, prior_dim, nlive=npoints,sample=sampler,pool=mypool)\n",
+    "if parser.has_option('setup','dlogz'):\n",
+    "    dlogz=np.float(parser.get('setup','dlogz'))    \n",
+    "    f2.run_nested(dlogz=dlogz)\n",
+    "else:\n",
+    "    f2.run_nested()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 277,
+   "execution_count": 325,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -987,7 +981,9 @@
     "elif model == 'w-q':\n",
     "    taustr = r'$q_'\n",
     "elif model == 'w-tau-fixed':\n",
-    "    taustr = r'$dumb_var}'\n",
+    "    taustr = r'$dumb_var}'  \n",
+    "elif model == 'w-tau-fixed-m-af':\n",
+    "    taustr = r'$\\tau_'\n",
     "    \n",
     "ampstr = r'$A_'\n",
     "phasestr =  r'$\\phi_'\n",
@@ -996,6 +992,8 @@
     "tau_lab = [None] * dim\n",
     "amp_lab =  [None] * dim\n",
     "pha_lab =  [None] * dim\n",
+    "mass_lab =  ['mass']\n",
+    "spin_lab  =  ['spin'] \n",
     "\n",
     "for i in range(dim):\n",
     "    w_lab[i] = wstr+str(i)+'$'\n",
@@ -1003,33 +1001,42 @@
     "    amp_lab[i] = ampstr+str(i)+'$'\n",
     "    pha_lab[i] = phasestr+str(i)+'$'\n",
     "\n",
+    "\n",
     "labels = np.concatenate((w_lab,tau_lab,amp_lab,pha_lab))\n",
     "\n",
     "if model=='w-tau-fixed':\n",
-    "    labels = np.concatenate((amp_lab,pha_lab))"
+    "    labels = np.concatenate((amp_lab,pha_lab))\n",
+    "    \n",
+    "if model=='w-tau-fixed-m-af':\n",
+    "    pha_lab[i] = phasestr+str(i)+'$'\n",
+    "\n",
+    "    labels = np.concatenate((amp_lab,pha_lab,mass_lab,spin_lab))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 278,
+   "execution_count": 337,
    "metadata": {},
    "outputs": [],
    "source": [
     "if model=='w-tau-fixed':\n",
     "    rg = (nmax+1)\n",
+    "elif  model=='w-tau-fixed':\n",
+    "    rg = (nmax+1)+2\n",
     "else:\n",
     "    rg = (nmax+1)*2\n",
     "\n",
     "samps=f2.results.samples\n",
     "samps_tr=np.transpose(samps)\n",
-    "npamps = np.empty((nmax+1)*2)\n",
     "half_points=int(round((len(samps_tr[0])/1.25)))\n",
     "\n",
-    "if model!='w-tau-fixed':\n",
-    "    for i in range(0,(nmax+1)*2):\n",
+    "if model=='w-tau-fixed-a-mf':\n",
+    "    npamps = np.empty((nmax+1))\n",
+    "    for i in range(0,(nmax+1)):\n",
     "        amps_aux = samps_tr[i+rg][half_points:-1]\n",
     "        npamps[i] = np.quantile(amps_aux, 0.5)\n",
-    "else:\n",
+    "else :\n",
+    "    npamps = np.empty((nmax+1)*2)\n",
     "    for i in range(0,(nmax+1)*2):\n",
     "        amps_aux = samps_tr[i][half_points:-1]\n",
     "        npamps[i] = np.quantile(amps_aux, 0.5)"
@@ -1037,7 +1044,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 279,
+   "execution_count": 338,
    "metadata": {},
    "outputs": [
     {
@@ -1046,11 +1053,11 @@
      "text": [
       "Summary\n",
       "=======\n",
-      "nlive: 4000\n",
-      "niter: 134682\n",
-      "ncall: 3449527\n",
-      "eff(%):  4.020\n",
-      "logz: -29.293 +/-  0.113\n"
+      "nlive: 2000\n",
+      "niter: 28308\n",
+      "ncall: 600714\n",
+      "eff(%):  5.045\n",
+      "logz: -9.689 +/-  0.083\n"
      ]
     }
    ],
@@ -1063,7 +1070,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 280,
+   "execution_count": 339,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1073,7 +1080,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 281,
+   "execution_count": 340,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1082,7 +1089,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 304,
+   "execution_count": 341,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1102,7 +1109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 283,
+   "execution_count": 342,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1112,7 +1119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 284,
+   "execution_count": 343,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1128,7 +1135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 285,
+   "execution_count": 344,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1138,7 +1145,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 302,
+   "execution_count": 345,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1154,7 +1161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 303,
+   "execution_count": 346,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1165,19 +1172,21 @@
     "    tau_val = tau\n",
     "    truths = np.concatenate((w,tau_val,npamps))\n",
     "elif model == 'w-tau-fixed':\n",
-    "    truths = npamps"
+    "    truths = npamps\n",
+    "elif model == 'w-tau-fixed-m-af':\n",
+    "    truths = np.concatenate((npamps,[mf],[af]))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 288,
+   "execution_count": 347,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 1303.2x1303.2 with 64 Axes>"
+       "<Figure size 1000.8x1000.8 with 36 Axes>"
       ]
      },
      "metadata": {
@@ -1198,22 +1207,67 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 299,
+   "execution_count": 364,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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LqHnz5mFZVqBFUltFRETEo6H8Mvroo4/46KOPQq6shIQEzCzfV2JiYrmUURaV+XUVERGR4KAe0zJ69dVXAbjiiitCqqy1a9cWeM7Mynz/sqrMr6uIiIgEB/WYioiIiEhQUGAqIiIiIkFBgamIiIiIBAUFpiIiIiISFLT4qYw+/vjjsCwr0CKprSIiIuJRYFpG9evXD8uyAi2S2ioiIiIeDeXnsWTJkgLze5oZCQkJB1w/duxYxo4dWyl1q8yyKkJiYmKxc6eGelsldJlZSzObbWarzGyBmXUo6bVmFm1mC3O9lpmZM7N2ldcSEZHQY865QNchqJiZK8nXpEuXLgDMmjWrYipUlrL811PCupkZFfFcFHbfvOcq8+tansxsvnOuwEBGgoeZzQL6OOfW5jn+FTDBOfe6mZ0NvAwcmd8PhuJea2ZXAg86546tmNaIiIQH9ZjKQYJ9VygJLWbW3Mw+NrPdZrbHzCabWYtS3OcLf6/jkHzOneHvuUwzs7/N7F0za1SKMhoAHYGxAM65rwADTijLtUBf4I2S1kdEJNIoMJWDrF27Fudcvq+kpKRAV09CiJnFAd8ARwLXAlcD/wC+NbP4EtznSiDf3kYzOw34EtgFXArcCZwOfG1m1UtY5RbAZufc/lzH1vqPl+paM2sJdALeK2FdREQijgJTKVeFzSPNOz+3ostTD29Q6AccDlzknJvinPsU6AkkADcW5wZmdgjwAnB3AZf8B0jylzHdOfcuXoDaBrghz70+yp73CXQApueaB9q65M0rlhuASc65nRV0fxGRsKHAVMpVUlJSgb2ta9eurdTywrWH18zam9l+M7uhgPP/8Q95N6zsuuWjJ/CTc+6P7APOuTXAD8CFxbzHM8BS59wHBZzvCHzlnMvMVcY8YAdwce4LnXNXOOfaO+faA/OAHtmfO+dWAuuAQ82saq63JfqP51XktWYWjddTrGF8EZFiULqoMpo+fXpYllWQ7PmnhZ0vz/tm97RWRFBbWomJiYEOeF8BlgFvFXB+hf/jP4HPSlOAed+M6GJc6pxzWYWcbwN8ms/xZcBlxajHqcA1FDCM75cFZORzPB04pqgycnPObTOzuUAfIHtBkwHzS3ntecBe59x3JamHiEikUmBaRnFxcWFZVkEqKkAs7L6FBcKBkN1Lm5+KrquZnQucDFxRSPqI7B67ssyd6Ax8W4zrvgO6FHK+LpDfEPbfwCGF3djMqgGjgeH+3syCrMTrNc393gTgUGB/vu8o3E3AO2Z2H5AKXJX9tTazN4CpzrmpRV3r1xd4sxR1EBGJSApMy2jUqFEA3HLLLWFVVqDlbmthvbQVMW81yPUFdgOfZB8ws2uA35xzc/2Havg/lmWqznzgxGJcl1yGMopyPxALPFnEdSOB9/yr9V/EC4bHAD7/K1/OuS4FHP8dL/jP71zf4l7rP9+ziLqLiEguCkzLaMKECUDlBIuVWVag5W5rMA3jB4EuwJzsleBmFoMXhPUDsgPTxv6Pa/zXPIy3Gv4I4BLn3JRilLMXWFiM64pKeLuT/HtGC+pJBcCfTmowXiBePc/q+upmVgdIds5lOefeN7MjgXv973HAR8B0SjiULyIigaXFTyIhwsxqA/WBP3MdPgOoDmzIcywTb4ERwFdAN+D7EhTXGW8YvKjX10XcZxnePNO8jgaWF/K+w4EYvBRLO3O9wAtAdwJtsy92zj2M97VpBxzqnLsSLy3V7CLqJyIiQUQ9piKhI/v/a0yuYzcB+4BqAGZWH7gcmJadnsg595P/XEnKKq+h/KnAcDM73Dm32l+PROAU4MFC3rcQL8DO61u8YPVN4I/cJ5xzKcASfxnd8HKn5pu5oDD+vKPvAA2BFKCff5V/ia717yyVgDf1AmCyc+7xktZHRCSSKDCVsFZUFoHC3hdsUwicczvMbD1wqZl9ibdS/R/ADOBW/3D3YP/lA8tYVjJeOqWyeh24DfjUzB7CG2Z/AliPt7AJADPrjNf7er1zbpxzbhcwK+/N/N/LJOfcrFzHjgO6A7/6D50K3Ac865ybU4o6vwa8k2ub0ffNLN8tSYtx7V3FnDohIiIoMJUwV9rgMtgyAeTSBy8YGoc3p/RCoB4wHm9e5VygSxGr2CuNcy7FzM7ES5D/Ll46pa+BAc65vbkuzU5PVZrpRRlAD7zFUtXx0mXd5Jx7u6Q3yrXNaA9//b/yp846gTyBekmuFRGR4lFgerDtZpY3SWV9YHthb6qgQCbfcktcVunqVmSbK8gB5VZygFjssgs5V6FpApxz3wCt8hz+HW9OZlByzq3D24mpsGtm4QWnRd3roGucc8vweknLQ2HbjOYNNotz7dNm9gReSqvBwfIHg4hIsFJgmodzrkHeY2Y2zznXobLrEqhyA1l2JLZZKo+ZzQTaF3D6Qrz5uuXlGufcOn8v6nXAl/65toVtSCAiEtG0Kl8kzJnZo2a2AegEvGFmG8ysWaDrFQjOua7OufoFvH6gHLck9fcU4zxv4eWXjbjEuyIiJaHAVCTMOecedc41c85V9wdgzZxzG4p+Z+Rxzm3Dm6fbB6CoLUkLutbMYvwZEvCf64G3der6im2BiEho01B+8YyJsHIDWXYktlmCS5m3JDWzWsAM/7aqPry8q+fnmY8qIiJ5WMHbbYuIiIiIVB4N5YuIiIhIUNBQfh7169d3iYmJga5G+Vjpz0zTunVg6xEhsrKyWLhw4U7nXN2CrinJ8/Xnn97Ooy1btiyX+lVYWSH4nFXm17Y8zZ8/f3t+mUNERMKFAtM8EhMTmTcvTHJjd+nifZw1K5C1CDs+ny/f48nJydSpU2djYe8Nq+crm56zSpNPjmURkbCioXyRchIfHw+gxS0iIiKlpMBUpJR8Ph8pKSk5PahRUVHgrcAuFwMHDmTgwDJteR+UZQWDSGuviEio0FC+SCmlpaWRnJwM5PSWlqsff/yx3O8ZDGUFg0hrr4hIqFCPqUgp+Hw+fD4f8fHxxMbGBro6IiIiYUGBqUgppKWlkZKSQlRUVPYQvoiIiJSRhvJFSiG7l1S9pSIiIuVHgalICWX3ktasWbNCy2nWrFmF3j9QZQWDSGuviEioUGAqEqTee++9sCwrGERae0VEQoUmx4mIiIhIUAjZwNTMLNB1EKlIAwYMYMCAAWFXVjCItPaKiISKkB3Kd845ADOLcs75sj8Gul4i5WXhwoVhWVYwiLT2ioiEipAMTM2sM9AV+Aewwsxedc5tNTPLDlhFpGiJiYkkJf1v+/XcAxEJCQmsXbs2ALUSEZFIFXKBqZldBbwE7AJigV7AkWZ2nXNuXyDrJqGjqL9fImWmSFJSEs45unTpAsCsWbNyzkXK10BERIJHSM0xNbOueEHpm8CFzrlDgdHAqUDNXNeV6DeqmfU3s3lmNm/btm3lWWUJIT6fj5SUFHw+zQgREREJhFDrMe0GJOEFpqv8x6YCnYAoM4sDspxz6SWZc+qcGwOMAejQoYOmAkSotLQ09uzZA0CNGjUCXBto1apVWJYVDCKtvSIioSJkAlMziwaOBzKdc7/lOnUScATwA157fjezm51zf2hBlJREsO3mNGbMmLAsKxhEWntFREJFSA3lAwuBo/xD723M7G7gIeAr4Hm83tOjgLlmdoR/tb4mykmxREVFER8fT1RUqP23EBERCQ8h02PqnMsys4nAmcCrwFagEd6w/kDn3HYAM/sOeAN4zcx6OudSA1VnkbLo378/UDm9e5VZVjCItPaKiISKkAlMAZxzP5rZNXhzShsBpwATnXPbzSzaOZflnJtkZpcAZwF1AQWmEpJWrVpV9EUhWFYwiLT2ioiEipAKTAGcc4uBxQBmNhpI9J/y5cpjmgxkAppfGuYKS/vknCsw5VFh50RERCQwgjowLShhvn8hVFWgCXCYmf3gnFvmP9ceOBkveN1didWVEGJmCkxFRESCTFAFpmZWE4gB9jjn0p1zLr/g1DmXBWSZ2bvAh8CrZjYeqAX0wAtY/+WcS6nkJoiIiIhIKQVNYGpmlwG34K2q32Bmi4AHnXMFZrx3zk0ws7rACLwk+7uAFcDpzrnlFV5pkQrUvn37sCwrGERae0VEQkVQBKZmdinwPjADeB1oA/QEzjKz+4AvnHPJ+b3XOfeamc0GmgF/AUnOub8rp+YSKnw+H2lpacTGxoZMOqgRI0aEZVnBINLaKyISKgIamPpzjNYAbgI+A25zzm0ys+rACcBTeKmfBpvZu865fOeMOueWAksrqdoSInw+H/v27SM2NvaAXZ3i4+MDXDMRERHJT0C7jvxzRzOAw4Ct/qDU/PNL5wC9gO+Bp4FLzKxa9nvN7AgzuzIgFZeQsG/fPvbs2ZPTU1qrVq2g2dWpOHr37k3v3r3DrqxgEGntFREJFcEwlF8NSAPq+D83f3Dq8+cn7Q1MAIYCC4CFZlYDeBC43swaOedGBKDeEuRiYmIAcobvQ62ndMOGDWFZVjCItPaKiISKgE+2888dHQtc7t+pyZd7K1H/8P0deKmfXvEf2wtMBubgbUcqEco5V+ArKiqKGjVqEB0dnZMeKvdLREREgkvAA1O/9/F6Q4eY2cngDfPn2ud+Dd7Wo8eaWSf/+enA2dn5S0XAm1eakpKCz6e9FUREREJNUASmzrktwPV424w+aWYn+Y87M6vqnMsAxgNx/G+nJ5xzaQGorgSZ3MFoWloaycnJpKXp0RAREQk1wTDHFADn3CIz64mXMuoFM/uPc+4r59x+/yVtgZ3A9oBVUoJSdjAK5CxuCqVFTgXp1KlTWJYVDCKtvSIioSJoAlMA59zPZnYOXu/oRDN7Gvgaryf1JmAvoKF7OUDuYDQUFzkVZOjQoWFZVjCItPaKiISKoApMAZxz88ysB/AI8Jj/lYy3q9MFzrlNAayeBBGfz5fTUxofHx8yifNFREQkf0EXmAI45/4ws+uAZ/GG8LcDS51zmwNbMwkmqampbNvm7VgbTj2l2S699FIAJk2aVOp7JCYmkpSUVOD5hISEcisrlERae0VEQkVQBqYAzrksvN2ctKNTBPD2Wsifz+fLSe/knCM1NZWYmBj2799PTEwM8fHxYTGnNK8dO3aU+R5JSUmFfm3Ls6xQEmntFREJFUEbmIrkJzU1leTkZFJSUti7dy8AderUoUoVPcoiIiKhTr/NJaTExcUB3q5O2b2k2cdEREQktIV0YOrfurTocUoJG2aWM5e0Zs2aAFr0JCIiEiZCOjAFqgP7zCzKOaetfiSsnHXWWWFZVjCItPaKiISKkA1MzexfwB1mdr5z7u9A10ekvD388MNhWVYwiLT2ioiEipAcAzWza/GS8HcETvYfC8m2SP60572IiEjkCblgzsz6AG8D7wKbgX4AGsoPbT6f74BXamoqe/bsITU1tVjpjsJR9+7d6d69e9iVFQwirb0iIqEipIby/UHpW8AI4CVgK3CPmV3unJtQhvv2B/oDtGjRouwVlRLLzlOaLffq+7S0tIjc2SktLS0sywoGkdZeEZFQETK/6c3seryg9AVgmHNuDfA+kAZ0919jBd+hYM65Mc65Ds65Dg0aNCivKksZmBlxcXHs2LGD3bt3k5qaGugqRZyEhATMLN9XYmJioKsnIiJhKOgDU/M0AZ4GXgSGZ29N6pxbCIwCrjazU5Q6KvQ550hJScnZ4SkzM5MqVaooV2kArF27Fudcvq/CtjkVEREpraAfyvcHm5vM7FRgl3NuKxyQw/RL4DbgNjNb7JxLDmB1pYyyd3aC/w3nx8XFRdwwvoiISCQK+sA0OwB1zq3KfTy7d9Q595WZfYw3nF8fSFZe09CVOxjNnUw/Ep1//vlhWVYwiLT2ioiEiqAPTAsbnjezaOdcFt5w/iXAo8C1CkpDV6QHo7nde++9YVlWMIi09oqIhIqQHh/1B6UAy4DZQHczOxFKvxBKKkZGRkbOa+nSpdx3331s3bo155iIiIhIUPeY5ppHWtQ1e8zsEeA7oCfwixZCBaeVK1dy7rnnsnnzZmbNmsXnn39OnTp1NIc0H126dAFg1qxZYVVWMIi09oqIhIqgigbMrKaZNTCz6uAN4xfV85nrmt+AacADZnZ8JVRXSui3337j3HPPJSsri2HDhrFo0SLOO+88Nm3apB2eREREJHgCUzO7DJgKLAF+MLM3zaxBcXo+/YujdgNfAxl4ifcliKxZs4Zu3bqRlZXF//3f/3HHHXfwwQcfsGjRIi677DL+/vvvQFdRREREAiwoAlMzuxQvWf4e4HVgHf4heTO7zMxqFvF+A3DOvQYc7pzbUMFVlhJasmQJmzdv5oQTTqBVq1YAnHLKKSQmJrJkyRLtxCMiIiKBDUz9yfNrAjcBnwE3O+ceBq4ELgTWAm8A15pZ7UJuFZUrOFVvaRA6//zzefzxx5kxYwbXXHMNW7dupXv37qxbt44JEybQvHnzQFdRREREAiygi5/880MzgMOAmc65Tf7FTOnAHDPrBbyNt+tTipm975zLADCzI4ATnXMf5FqdL0EqKiqKBx54gCpVqjBo0CAmTZpE9erVmThxIueee26gqxeULr/88rAsKxhEWntFREJFMKzKr4a3330d/+fmD059zrntZtYbmAAMBRYAC82sBvAgcL2ZNXLOjQhAvSNSYVN+fT4fBa1V8/l8REVFcdNNN5GRkcGff/7JZZddpqC0ELfccktYlhUMIq29IiKhIuCBqXMu2czGAsPMbLxzbiocsOPTbjO7A29h1CvAKc65vWY2GTgS+CpglZdiq1atGlFRUVSpUoV77rlH24wWQ2pqKvC/3bDCpaxgEGntFREJFcESGbyP1xs6xMxOhoNSRa0B3gSONbNO/vPTgbOdc8sCUWEpmHOOlJSUnN7VrKwstm7dSmZmJlFRUdSoUUNBaTH06NGDHj16hF1ZwSDS2isiEiqCIjpwzm0BrgcaAU+a2Un+487MqvrnlY4H4oDEXO/TUu4glJqaSnJyck6v1I4dO9iyZQvbt28PcM1EREQkmAVFYArgnFuElyLqWOAFMzvbf3y//5K2wE5A0U2Qyu4pjYmJoWbNmjnDpPXq1aNx48bUr18/wDUUERGRYBbwOaa5Oed+NrNz8HpHJ5rZ03hJ8xvhpZTaC2joPkilpaWRnJwMQHx8fM7x6OhoGjZsqOF7ERERKVRQBaYAzrl5ZtYDeAR4zP9KBnYBFzjnNgWwelKI2NhYQAtKREREpHTKPTD1L1g6zTn3fWnv4Zz7w8yuA57FG8LfDix1zm0up2pKOfH5fKSlpeUEpVJ++vTpE5ZlBYNIa6+ISKioiB7TasC3QHRZbuJPmr/U/5IglZaWxp49e/D5fKSmppKRkUFKSgoNGjTQ0H0ZKTCtOJHWXhGRUFGqwNTMCts2pVop6yIhKLun1OfzkZmZmZMSKi0t7YB5plJy2VkMKmPRWGWWFQwirb0iIqGitD2mHwA/A+n5nFM3WQSJiooiPj4+Z2en6tWrk56erqH9ctCrVy8AZs2aFVZlBYNIa6+ISKgobWD6G/Cwc+7rvCfMLAZILVOtJORERUURFxeHmVGlStCtqRMREZEQUNrezYl4KZzykwm8U8r7Sojw+XykpKTg8/kCXRUREREJE6Xq2nLOPVrIuUzgutJWqLjMrA3ggN9zJeGXSpK96AnQXFIREREpF8UKTM3sbuAE4DAgFvgbWAR8BXzpX0FfaczsCmAoMNP/cU1llh+Jslfdx8bGEhUVlTOHVHNJRUREpLwUt8d0OJAB/AXsxwtQzwDuBDaY2R3OuU8rpooH8gel7wDvAh875xSUlrP9+//XAf3rr7/SokUL4uLi2LNnD3v27KFRo0Y5i56k4tx8881hWVYwiLT2ioiEiuIGpkcBq5xzLvuAmR0OnAPcAUwys8ucc59UQB1zmFkjYADwHvCkc26t/3g8XuDsc85lmVl0SXpxzaw/0B+gRYsW5V3tkDVu3Dj69etHy5Yt+eKLL4iNjSUrK4u0tDRq1Khx0PXe3gpSXq644oqwLCsYRFp7RURCRbEWPznnVuYOSv3HVjvnXgPaA//F2zq0otUF2gAzcwWlw4BP8JL6v2xmh5V0aoFzboxzroNzrkODBg3Ku84hKTso7dixI3/99RfdunVjx44dmBkxMTGBrl5EWL9+PevXrw+7soJBpLVXRCRUlDnnqHMuA/gYOKLs1SlSPSAZ+ALAzL4CbgGqAjHA9cAvZnaa/3yZdp+KVL/++mtOUPrFF1/w+eefs2bNGq6//nrS0tLYt29foKsYEa6++mquvvrqsCsrGERae0VEQkWJV+X785SOA/4AdgL1gWuBX8q3avn6E6gB9DGz34BjgIuAWc65/WZ2KTAI+NTMTnLO/V4JdQo7zZo1o2XLlixdupRFixYxceJEsrKyOOWUU6hfvz5xcXGBrqKIiIiEodKki/IBtYAbgUPwFkS9ArxajvU6iHkTGHcC04HuQDu87AC/ZqeLcs5NMrN0vMVRQ83sSqWSKrkaNWowfvx4/v3vf3P66acDcPvtt/Pss89iZkRFaXMvERERKX8ljjCccxnOuW54PaWnAz/gLRxqUs51y1uuc87twws6uwBXAVudczsAzKyq/7rPgO/wAtdqFVmncPDtt99y2WWX8fPPP+cci4mJoVWrVnzxxRcMGjSIp59+muHDh2txk4iIiFSoYgWmZvasmdXKfcwfKM52zvUCpgBjKqB+B3HOfQHchDevtLOZ3eQ/nrtn9C//x4idY+rz+XB4OxD4fL6DXvPnz+e8887jzDPP5OOPP+bss8/mm2++Yfv27ezbt4+4uDhatGjBo48+yt13362gVERERCpccYfybwL6mdnrwFjn3PI853fi9VCWKzOzPCmqzB8Qv21mVYDRwFNm5nPOjfFfcyxwEvAbkF7edQp1W7du5bHHHuP1118nPj6exx9/nAsvvJBLLrmEiy66iNGjR3PWWWdRu3btQFc14t1zzz3Fui4xMZGkpKR8zyUkJJRrWeEi0torIhIqLE8WqPwvMjsUeApv+Dwa2AwsB7YAh+Il21/knDuhTJUxq4m3un6Pcy7df+yA4DTP9ZfhzW+tj7dSPx1IABKBU/MJoIvUoUMHN2/evNI1IIj4fD7szDMBcN98Q1paGiNHjuTpp58mNTWVG264gYEDB5KdHmvjxo306NGDrVu38uGHH9KjR49AVj9kmdl851yHgs5XxPNlZhTn/3GFldmli/dx1qxKrUMkKur5EhEJdcXNY7rZOXcd8A/gSWATcCrQGzgLWICXqqnU/EHmVGAJ8IOZvWlmDQoKSv31moi3EOpxvDmuicBK4JTSBKXhaurUqRx11FEMHjyYM844gyVLlvD888+TO2dr06ZNmT59Og0bNuRf//oXf/zxRwBrLAArV65k5cqVYVdWMIi09oqIhIoSrcp3ziUBj/hf+OedZvgXJZWaP83T+8AM4HW8JPo9gbPM7D7gC+dccp73ZA/rzwfmA4/6j1fVSnxP5v79/PHHH1x88cW0a9eOd955h86dOwOQlpZ20PWNGzemefPmbNiwodJ74ORgN954IwCzKqEnsjLLCgaR1l4RkVBRmnRROZxze8ryfn8KqBp4c1g/A25zzm0ys+rACXjTB94ABpvZu8653bnKzj33tJo/0T9AZlnqFC6mTp1Kw19+Yf/+/TzyyCMMHDiQatUKT1LwxBNPMGvWLEaNGsU//vGPSqqpiIiIiCegCSn9wWUGcBhe6qdN/p7QdOfcHKAX8D3wNHCJmeVEVmZ2hJld6b9PRp57Rqy///6bq6++mosvvphq1apx/Akn8J///KfIoPTzzz9n+PDhXHvttVxzzTWVVFsRERGR/ylTj2k5qQakAXX8n5s/OPU557abWW9gAjAUby7rQjOrATwIXG9mjZxzIwJQ74Dbv//AGQvTpk3j1ltvZfv27dx1110cM2cOFhXFypUrmTNnDt26dctJjl+r1v+yf/3555/079+f4447jueee65S2yAiIiKSLeCBqXMu2czGAsPMbLxzbiocMId0t5ndgbcw6hW8hU17zWwycCTwVcAqHyScczzwwAOMGDGCdu3asS4jg6ovvJBz/qijj+YoYE9sLCl//gmQs63ovn37uPrqq4mOjmbSpEnUrVs3EE0QERERCXxg6vc+8G9giJltd87Ncc65XKmi1gBvAo+YWSfn3I/Ouelm9q1z7uBVPBHEOce9997LSy+9xM0338ywYcOoWqNGvtfWSkvjnY8/plevXjnHnn/+eRYvXsynn35KYmJiJdVaiuOhhx4Ky7KCQaS1V0QkVBQrj2ll8CfG/xIvP+qDzrmf/cerOuf2m1kzYB1wlXPug4qqR4eaNd28E8qUjrXSZGZlsfrPP9m0eTNNmzalZcuWAER9/32B7/nOjGOOOYa6deuSnp7O3LlzqVu3Lm3atDngOu3zVDr23XfKYyoVRnlMRSTcBXTxU27OuUV4KaKOBV4ws7P9x7MnUrbF22Fqe2BqGFx27NjBvHnz2LR5M82aNqVJkyb88ccfB+x5nx/nHCkpKfiysli2dCkGOQGtBJeFCxeycOHCsCsrGERae0VEQkWwDOUD4Jz72czOAcYDE83saeBroBFeSqm9wLIKrUTr1kHd87N69WruvPNOPvvuO4488khGjhzJn85x4r/+xb59++h69tlM++yzAt//TLduvP766/z7nnuY+MMPTJkyhZgLLjj4QlOfaamU49dtwIABQOXk2qzMsoJBpLVXRCRUBE2PaTbn3DygB95ip8eA2cBYvIVOFzjnNgWudoE1YsQIjj76aL799luGDRvGvHnzWL16Neeffz5NmjRh8eLFTJ48udB7vPTSS4wYMYIJEybw9NNPc0F+QamIiIhIAARVj2k259wfZnYd8CzeEP52YKlzbnNga1b5kpO9Da+effZZhgwZwnnnncdzzz1Ho0aN6NatG7Nnz6ZVq1ZcccUVfPLJJwDcUqMGNfbuPeheGXXrMnPmTJ577jmuvfZa7r333kpti4iIiEhhgjIwBXDOZQFL/a+Ilh2U/utf/+LVV18lLS2Nq666itmzZ3PiiSdyzjnnkJmZyV5/MPrsXXcRGxvLg//3fzjnaPb775x44okMHjyYuzp35pRTTmH06NE5OU1FREREgkHQBqbiyRuUbt68mSuuuIJly5Zx9tln07Fjx0Lfv2vXLjZv3ky3bt24+OKLadSoER9//DHVq1evpBaIiIiIFI8C0yA2ZMiQA4LSxYsXc8UVV5CSksLEiRMpTtqhrX/9Ra1atXj99dfZs2cPs2fPpmHDhpVQeymrp556KizLCgaR1l4RkVChwDRIDRkyhIcffjgnKJ0/fz4XX3wxhxxyCFOmTOHoo48uMjD9e8cO/vrrL5odfTQLFixgypQptG3btpJaIGV18sknB21ZCQkJmD8Dwbf+Y2f4P09ISGDt2rXlWLvyV5lfWxERKb6QD0zNLNo/HzVsZAelV199NS+++GJOUNqgQQM+//xzmjZtWuQ9kpKSWLZ8OTGxsSxfvpzbb79dK/BDzJw5c4DKCaJKWtYBgac/wb7zp16yEEg1VplfWxERKb6QDUzN7Hjn3K/hHJS+/fbbzJo1q8RB6ZYtW3j33Xe5rlo1nM9Hy5YtefLJJyuh9lKeBg0aBFROrs3KLCsYRFp7RURCRUguy/ankppnZt0DXZfylDco/eWXX0oclO7YsYPx48dTvXp1ateuzb70dN58803i4+MroQUiIiIipRdyPaZm1gd4E3gBWBTY2pSP5OTkA1bfv/jiizk9pcnJySQnJ3PUUUcd9L7mzZvz559/5ny+ceNGunTpQmxsLM8++yxbrr+epk2b8o/OnSuzOVIBEhMTSUpKyvdcQkJCJddGRESkYoRUYOoPSt8CRgAjCtoFyszMOedKcN/+QH+AFi1alL2iJZQ3JVTuOaXZCfaLsmPHDnr06MHff//N1KlTueGGGxgfE8Phhx1WwbWXypCUlEQJHmkREZGQFDJD+WbWEy8ofRZ41jm33n/8MjO73cwGmtkJZhbvnHNmVuy2OefGOOc6OOc6NGjQoIJakL+8KaHyLnQqDucc1113HatXr+aTTz5h4sSJrFmzhtZHHkl0dHQFt0BERESkfIREj6mZxQHZ49HNnHNb/Mc/AbrhtSMKuA8Yb2aPOue2l7TntLJ99dVXB6SEWr16NZdeemmx55T6fD7A63H94osveOGFF1i7di2jRo3itttuo86SJZXRDKkgI0aMCMuygkGktVdEJFSERGDqnEs1sxeBDOABM9sB1AdOxgtG5wJpwFDgWqC6md3tnCveOHiAvPnmm9SrV4+XX36ZlJQUrrzySqpUqcLUqVOLtdApKiqKN954Iye4jY+Pp1+/fnTt2tVbhd+zZyW0QipK+/btw7KsYBBp7RURCRUhEZgCOOeSzOxlIBoYACQDfYD/c85l+C8738wmAL2BT4DpwdprunPnTqZMmUK/fv2oUqUK/fr1488//2Tq1KnFnueamprKrbfeSrdu3ejevTt9+vThrLPOYtKkScTGxlZwC6SizZw5E4CuXbuGVVnBINLaKyISKkImMAVwzm00s5f8n1YH5mQHpWZWxTmXCdwOnIM3xD89GINSgAkTJpCenk6fPn0YOnQoM2bM4Nlnn+W0004r9j127NjBySefzPPPP0+nTp046aSTFJSGkSFDhgCVEzxVZlnBINLaKyISKkIqMAVwzq03s1eADOfcjlynshPtZwDpQO1Kr1whsueDZnvnnXdo06YNa9eu5ZlnnqFly5YsXryYW2+9tdj3rFq1Kp988gl9+vQhIyODt956S0GpiIiIhKygXpVvBext6JxLcs5tzn1drp7RUwADFhR2j0BatWoVP/74I+eccw59+vShZs2aNGnShPXr1/Pdd9+xcOFC1q9fz/r167nqqqvYu3dvzuuXX36hbt26HHbYYaxYsYIZM2YwY8YMhg4dylFHHUXVqlVzXiIiIiKhJKh6TM2sJhAD7HHOpfvTPhU6RzT3eTPrCNwB7AUmAwTjUP64ceMwMyZPnkx8fDyHHXYY0dHRrF69mnXr1mFmHHPMMdSrV++A961bt44LL7yQqlWrMnXqVHw+H3feeSennXYat99+e4BaIyIiIlI+gqbH1MwuA6YCS4AfzOxNM2tQVGDpD15rmdljeDlO2wMXOefWVXilS2HXrl2888471K9fn02bNjFx4kSqV6/Onj17WLduHfXq1aNatWosXbqU9PT0nPctXLiQc889l9TUVD799FMaN27MDTfckDOEHxUVNN9KERERkVIJih5TM7sUeB+YAbwOtAF6AmeZ2X3AF0WkfuoAPAx8B5zunPutgqtcKsnJyfTo0YO//vqLrKwsnnvuOU455RQAYmJiiI2NZccOb9rsIYcckjMc//7773PHHXfQoEEDpk2bRsuWLbn88suZPXs248aN44gjjghYm6T8FLTtqJlV+Lajo0ePrtD7B5tIa6+ISKgIaGDqn/9ZA7gJ+Ay4zTm3ycyqAycATwFvAIPN7F3n3O787uOc+8bMjga2O+e2V1L1SyQ1NZULL7yQX375hZiYGI4//njuuOOOnPPVqlXjuOOOY+vWrfh8Ppo3b45zjrlz5/L+++/TuXNnxo4dS40aNbj88suZNWsWr776Kr179w5gq6Q8BXLb0datWwek3ECJtPaKiISKgI7/+ofpM4DDgK3+oNT880vnAL2A74GngUvMrFr2e83sCDO7Mte9fgvWoDQ9PZ1LLrmE7777jtq1a1OjRg3efvvtg4bfq1WrRrNmzWjRogUZGRksXLiQ33//nQEDBvDpp58qKI0w06ZNY9q0aWFXVjCItPaKiISKYBjKr4a3a1Md/+fmD059/m1FewMT8HZ1WgAsNLMawIPA9WbWyDk3IgD1PkBBPV379+/n8ssv56uvvqJmzZrs37+fBx54gHnz5jFv3jwAUlJSiI+Pz3nPrl27WL58OVlZWZx66qnceuutvPLKK7zzzjv8/vvvCkojxHPPPQfABRdcEFZlBYNIa6+ISKgI+IoZ/9zRscDlZtbTH5D6stM8+Yfv7wB2A6/4j2Wvup8DfBWQihdDVlYWV199NVOnTqVWrVpkZmZy33330bRpUzIzM3NeAwYM4Ntvv+Wbb77hoosuYtmyZbRo0YIhQ4YQFxdH69atGTx4MIcccgiTJ0/mxhtvJD4+/oBgViRYJCQkYGb5vhITEwNdPRERCWLB0GMK3sKnfwNDzGy7c25OnlRRa4A3gUfMrJNz7kfn3HQz+9Y5lxbQmhfA5/PRt29fJkyYQOPGjfn777954IEHOPzww/O9fsOGDfTt25cvv/yS5s2bs3nzZgYNGkRiYiKDBg3i6quvplWrVpXcCpGSW7t2bYHngjCtsIiIBJGA95gCOOe2ANcDjYAnzewk/3FnZlX9246OB+KAxFzvC8qgFOCBBx7gnXfeoUmTJuzcuZO77767wMBy8eLFtG3blm+++QbwhvKvvPJKZs2axR9//METTzyhoFRERETCXrD0mOKcW2RmPfFSRr1gZv9xzn3lnNvvv6QtsBMIygVOuS1atIgRI0Zw8sknM2fOHD766CMyMjLyvXb58uW88MIL1K5dm8zMTG6++WaGDRtGXFxcJddaREREJLCCJjAFcM79bGbn4PWOTjSzp4Gv8XpSb8Lb0WlZAKtYpLlz59KjRw/q16/P6tWrOfnkk+nVqxfjx48/6NpVq1bx/PPPExMTw/bt27n99tsZMWKEhjsFgHfffTcsywoGkdZeEZFQEVSBKYBzbp6Z9QAeAR7zv5KBXcAFzrlNAaxeoWbOnMnFF19Mo0aNuOKKKxg6dCjjx4/PN9Bcs2YNw4cPp2rVqiQnJ9O3b18FpXKA5s2bh2VZwSDS2isiEiqCLjAFcM79YWbX4W0x2hZv+H6pc25zIOvl8/kKPDd69GjuvPNOWrZsyWuvvcYll1zCqaeeyhFHHMGGDRsOuHb9+vU8++yzREVFsXfvXk499VRee+01BaVygI8++giAK664IqzKCgaR1l4RkVARlIEpgHMuC1jqfwW1119/nVtvvZUTTjiBl156iXvvvZe///6b+++/P+eaq666iszMTN59911eeOEFqlSpwq5du3KG+aOjowPYAglGr776KlA5wVNllhUMIq29IiKhIihW5Ycq5xzPPPMMN910E507d+all17ixhtv5KeffuKFF16gffv2gNfT+tFHH3HMMcdwww03EB8fz65duzj//PN57733qFIlaP8+EBEREak0CkzLYNCgQQwaNIgrr7ySYcOGcfXVV7Ny5UrGjBnDpZdeCsCCBQvo0aMHV155JdHR0Zx22mmsXbuWrl27MmHCBKpVq1ZEKSIiIiKRQYFpKU2ZMoVnn32W/v37M27cOP766y/+/PNP2rRpw2mnnQbA0qVL6d27N7t37+bNN9+kTp06/PzzzwwcOJApU6YQExMT4FaIiIiIBA8FpqWwatUqrrvuOo4//nhGjhxJVFQUbdu2Zfjw4SxYsIAbbriBFStWcPXVV1OrVi0+/PBDJk6cyM8//8z48eN58sknladUREREJI+Qn9yYa9vSSrFnzx4uueQSqlWrxscff3zAUPxll10GwD333MO5555LvXr1GDduHMOHD+eLL75gzJgxXHLJJZVVVQlxH3/8cViWFQwirb0iIqEiZANTM2vknPvLv21puQanBd1q586dXHvttaxatYrJkydTp04ddu/eDUBqaipxcXH06tWL6Oho1q1bx5lnnsm4ceP49NNPGTp0KH379i2vKkoEqF+/fliWVRESExNJSkrK91xCQgJr16494Fiot1dEJFyF5FC+mV2GtzNUD4Ds4LSiy33hhRf4/PPPeeKJJzj99NMxs5xXo0aNaNasGc2aNeP2229n2LBhzJ07l3feeYd7772XBx988IDr875E8ho7dixjx44Nu7IqQlJSEs65fF/5Bayh3l4JfWb2sJmtMjOfmV1U2uvMrIeZ/WpmC81smZndVJH1FqloIRWYmqcp8BpwKnC7mXWFig9OP//8c5566ikuu+wybrrpJvbt28f69esLvP7ll1/m8ccf57rrruPpp5+uqGpJiFmyZEmBf5wkJCQccG04BqYJCQmF/oGWmJhY4XUABaZSOcxslpklFnD6K6Ab8H0RtynwOjOLwtvCu49zrj1wNvCcmTUpbZ1FAi2kAlPn2QjMBFYD5wJPmdlZ2edLE5yaWX8zm2dm87Zt23bQ+VWrVnHVVVfRtm1bRowYQVZWFr169aJdu3Z89dVXB1y7f/9+Hn30Ue68804uvPBC7egkB8jIyCiwZy/vcHM4Wrt2bYHtL6h3UyKXmTUzs5fM7EczSzUzV1CgZ2bNzexjM9ttZnvMbLKZtShGGb3MbJKZJZlZmpmtNLOhZlaziPd94a/PkNK0zTn3k3NudRmvy/7lUsf/sSbeFt57S1MnkWAQUoGp/69DgFXAF8DpQAfKGJw658Y45zo45zo0aNDgoPO33XYbVapU4d133yUuLo7ff/+dH374AYBRo0blXLd69WpOP/10nnjiCXr37s348eOVPF+knCQmJha7t1nCxhHA5cBO4L8FXWRmccA3wJHAtcDVwD+Ab80svogy7gWygEF4PZOvAjcDX+X6nZO3vCuBY0vUkgrg3yHxMmCSmSUB84GbnHN7AlszkdILqajJOZe9Wf3neIHpI0APYDpecDrYOTfTH5zGOedSy1rm7NmzmTlzJsOGDaNFC++P76OOOoo333yTlJQUzjjjDAAmTZrE3XffTXR0NB999BG9evUqa9Eikkv2PFKJKN875xoBmFlf4JwCrusHHA60ds794b9+MfA7cCPwfCFlXOCcyz1U9p2Z/Q28A3TBC3hzmNkhwAvAXXjD6OQ5/xHQ2v/pEcB0M8vwf36Fc25lIXUpETOrAgwGLnfOfWtmx+AF1L8659aVVzkilSmkAlPw5pkCG4HtwKnOualm1hOYCgwxs+rAFcBMM/vAObe/LOU9/vjjNGzYkJtuuonMzMyc49lpn/bu3cutt97K+PHjOeWUU3j33XfVeyMiIcHMBgFPFnLJq865WyqrPnnl6owoSk/gp+yg1P/eNWb2A3AhhQSmeYLSbL/4PzbN59wzwFLn3AdmdlBg6py7IvvfZjYLb/7n2uI0ohTaA02cc9/6y15qZkuBkwAFphKSQi4w9aeFWm9mvwLXmNnnzrnPzKwbXi/qWKAe8KFzbn9JU0n5fD727dsHwE8//ZTTWxofH5+TGirbokWLuOGGG1i9ejX33nsvTz75pIbupdxMnz49LMsqTPbiqILOlZfs9haWZqoo+aWhKquy1KeUPuR/PYKX4/UCngHs8x9bW5qb+jsQootxqfMPR5dVG+DTfI4vwxvqLqnO/o8rch80s1OBawiCYXy/9UATMzvGH5Q2A9rhtVskJIVcFGVmUf6/ohcAvbJ/qDnnvjSzn/D+Uvwd8PmPl2jsb8GCBQfsytSwYUP69u1LZmYm8fHxVK1alb179zJ8+HCeeuopGjZsyDfffEOXLl3KqYUinsrcHSxYdiKrrAVg2e0ty/SAiljUWFR9yrtM/6Ka1f579wHWOudmlcOtOwPfFuO67/CGy8uqLt481Lz+Bg4pyY38mV8eB2Y65+blOl4NGA0ML4/heDN7FOgLNACOMbOXgY7OuQ1m9gYw1T8iWOB1zrm//FMcxpuZw/tjYJBzbnlZ6ycSKCEXmOYa2vkYuM/MTgfmAtnzep4B7gFGmNmNzrnvSnL/Jk2acMst/xu5Ov3004mP9+bOZ2Zm8tZbb/Gf//yHv/76i8svv5xRo0ZRr169sjdMJI/shXW5n8dwKKuyVVYvbBhoBywup3vNB04sxnXJ5VReuTCzGng9r5nAdXlO3w/EUvjUhwM457oUcu5R4NECzvUtznX+8x/i9XyLhIWgDkwLGob3DxP9DWwD2gI34a3Qv8k595F/XtG7lGKOTePGjbn//vsPOv7pp58yePBgVq1axamnnsonn3xCp06dSnp7kWKbMGECUDnBYmWWVdny64XNHuGYNWtWpdYlWPl/ph4DjMjnXEu8hUANgRSgX+6exALsBRYWo+jyWs22k/x7RgvqST2ImcUC0/AWUXV2zm3Ida4F3iKjvkB1/1qGbNXNrA6QXE7TEkQiWlClizKzmmbWIPs/fUGpn/z5THcAXwIvAd3xVmVO9Z//HGjunFtTHvX6/vvvueyyyzAzpkyZwvfff6+gVCTCFbZZQGVtFFCOEvByYObXY/oa8I5zrhVer+H7xUjJ1xnYX4zX1+VSe29OZZt8jh8NFDmsbWZV8UbhOgA9nHNL8lxyOBADvIcX6Ga/wEs3tROvk0REyihoekzN22b0FuAoYIOZLQIeLGDFZLb38fLP/QB85pzbl6uXtcyporJt3LgRgI8//phjjjmmvG4rIiGssPmwIbipRvZOQWtzHzSzBkBHvLR8OOe+8gelJwCF9ZpW9lD+VGC4mR2enYzen4j/FODBwt7oz1X6PnAmcL5z7qd8LluItygsr2/xgtU3gT/yOV9YuQ/j5Vs9ArjEOTelgOs+wvu9mIUXzA90zn2d63wPYAheR1NV4CXn3GslqYtIMAmKwNTMLsX7wTADeB3vL9+ewFlmdh/whXPuoB9gzrmfzOx3vCGUDP8xl/tjOdezvG8pImGoqHmtQbjLV4r/Yy8zq5IrOGsBbM6Tdm+t/3iBgan/53VRw/3FYmbZSaFP8H/sbmbbgG251hC8DtwGfGpmD+FNEXgCb9X66Dz364zXU3u9c24c8Areyv0ngRQz65jr8g3+RUa7gFn51A0gqZQLxr7C+733VhHX3egvHzM7DvjazOo753z2vy1JT3fOLTZvK9LfzWyqc25TKeokEnABDUz9f3nXwJsj+hlwm3Nuk38o/wTgKeANYLCZveuc2533Hs65HQXtziEiEggh2Ju6GG/Ivj/QC68XL1hMzPN59nZ7OSv6nXMpZnYmXuL7d/G26vwaGOCcy7s9Z3Yqq+zfG939Hwf7X7k9RiELj8oiO/gv6nnIDkr9auc5rS1JJexYoHdS8Qehy/BSc9yUe8GTmdUH3sYbQrkdeD+7Z9TMjgD+6Zw7KMFxGeuzA0jCn27Krz5eQv/KFqhyA1l2qLc5wTl38L62fv6enpIkqgzE1yOSvvehVmahz1d58w/lrwbqZveamtkq4N/FWAAlxeBPwj+ioKF8/zUv4G0UUBsvTeK3uc6djddrmoqXw7t3YfcSCXbBMJRfDUjjf3/xmT849TnntptZb2ACMBQvd+lCf0qPB4Hrzayhc25EeVXGOXdQ7iczm+ec61BeZRRXoMoNZNnh3uaSBhWB+HpE0vc+UsosLefcNjObC/QBXvcHQYY3h1TyYWYz8XZkys+FzrkfSnpP59xdwF3+jWSeNbNTnHMZpi1JJQwFfAjcPxdpLHC5mfX0B6S+7FWf/uH7O4DdeHOB8A/NTAbm4M3TERGRinETcJ2/p3QYcFVFzOEPF865rs65+gW8ShyU5rn3F3hpsbIzALQnz5akQPaWpCIhKeCBqd/7eL2hQ8zsZDgoVdQavFWPx5pZJ//56cDZzjltvSYiUkGcc7875052zrVyzrV3zs0NdJ0ihZnFmtlhuT7vhDdcv9p/KGdLUv95bUkqIS8oAlPn3BbgeqAR8KSZneQ/7sysqn9e6XggDkjM9b60SqrimEoqJ1jKDWTZkdjmwgSiTpH0vY+UMiXImNmjZrYB6AS8YWYb/IElZvaGmfXE22lqvJktNbOFwHDgUufcTgDn3F94Sf/H+1MsfoG2JJUQF/DFT7n5A9IZwG/Af5xzX+U61x0vX9y/ch8XERERkfAQVIEpgJl1wOsdbQg8jZfyoxHePKe2QCflZxMREREJP0EXmEJOKqhHgCv8h5KBXXi7Y+S3ZV65qV+/vgvB7QTzt3Kl97F168DWoxz5fD6ysrKIjo4mKioK51xQ5YWcP3/+9sJW3ofV85UtAp6zYFHY85X32frzzz8BaNmyZaXUrcLLzec5C1Qbw1FRP7tEKkswpIs6iHPuDzO7DngWr5d0O7DUObe5ostOTExk3rwwSc/XpYv3cdasQNaizHw+3wH/TktLIzY2lqioKHw+X6GBQ2UHFWZWaI7SsHq+soXwc5b72cp7PDU1lbi4uAKfoUAErIU9X2H5bOUWws9ZKCjqZ5dIZQnKwBTAOZeFl/ZiaaDrIsEjKiqK+Pj4QFdDwlxUVFShQamIiFQM/dQVEQlDAwcOZODAgWFdbqDaKCIVJ2h7TEVEpPR+/PHHsC83UG0UkYqjHlMJeT6fj5SUlALnC4qUBz1nIiIVT4GphLy0tDSSk5NJS6us/RYkEuk5ExGpeBrKl5AXGxt7wEeRiqDnTESk4ikwlaBXnHRQNWvWrKzqSBgpSaqxqKiokHrOmjVrFvblBqqNIlJxFJiKiISh9957L+zLDVQbRaTiaI6piIiIiAQFBaYiImFowIABDBgwIKzLDVQbRaTiaChfRCQMLVy4MOzLDVQbRaTiKDAVEZFSSUxMJCkp/y3WExMTWbt2beVWSERCngJTEREplaSkJJxzBxzr0qULAN99910AaiQioU5zTEVEREQkKKjHVEQkDLVq1Sqg5VZGj2mg2igiFUeBqYhIGBozZkxAy3399dcrrSwRCR8ayhcRERGRoBA2PaZmFuWc8wW6HiIiwaB///5A5fcqZpdbmWWp51QkfIR0YGpmpwFNnHMfKSgVEfmfVatWhX25gWqjiFSckA1Mzaw38Ayw18xWO+d+CXSdRERERKT0QnKOqZldCLwBTASuzhuUmpkFpGIiIiIiUmoh1WPqDzhjgOuBqcBLzrk//ecaAnHOubW5r3d5sz+LiIiISFAKqcDUOef8wenxwLO5gtI3gbOAFmb2AzDBzN5yzqUUJzg1s/5Af4AWLVpUbCMk4uj5kkBo3759QMutjDymgWqjiFSckApM/aL9r+0AZvYp0Bn40H/sIuBpoI2Z3euc21tUcOqcGwOMAejQoYN6WKVc6fmSQBgxYkRAyx05cmSllSUi4SOkAlMziwJ8wB9AFzPbAPwT6Ad84pzLNLPHgfeB3sBqM3vOOZcVsEqLiIiISLGEVGDqTwmVYmYTgeeBFOBv4Bt/UFrdOZduZv8GfgauBEYACkxFJKL07t0bgPfeey8g5VZmWZXdRhGpOEEdmJrZycAu59xy/+fZSfTfAs4EBvgvPRL4wR+Uxjjn9pnZCGAs3nzUnyq77iIigbRhw4awLzdQbRSRihO06aLMrBcwGxhpZq0gp8cU51wK8BLwpf/yq8yshf/cPv+xJsAuYHMlVltERIqQmJiImeX7SkxMDHT1RCSAgrLH1MzaA08Am4ATgTFm1t85l7PNh3PuGzOrjteGvsB+M3vHOfermZ0CdMWbi5pc6Q0QEZECJSUlUdB6VKWhFolsQReYmlkM3sKl1niLmrbhDd2PNrMb8wSnM8xsC3AzcDvQx8y2AbFAVeAs59zfld0GERERESm5oAtMgXRgFfCKc+5NM6sC3Aa8TP7B6QKgv5l9BnQCWgC/AR845/6o/OqLiARep06dAlpuZeQxDVQbRaTiBF1g6k+i/zbg/J9nmtkUvDRRo8gnOPVfN9XMpmmnJxERGDp0aEDLffrppyutLBEJH0G5+Mk5t985l5nr8314W5DeArTFC06PzD5vZm391ykoFREREQlRQddjWhB/Cqip/k9fBUb5t3pMAIab2XznXN/A1VBEJHhceumlAEyaNCkg5VZmWZXdRhGpOCETmEJOcPoZXsL80XjbkMYBTYE+AayaFGHfvn2kpaURGxtLVNTBHfXVqlULQK0kXGRkZOT82+fzHfSsReLztWPHjrAvN1BtFJGKE5RD+QXxJ9hPBaYBr+Alz28MnOqcWxTQykmh0tLSSE5OZseOHfh8vkBXR8KYnjURkdAVUoFpdoJ9oDPQHdiDF5QuCVytpDhiY2OJjo4mKyuLtLS0QFdHwpieNRGR0BVSQ/kAZhYPDAY6AMdmb1cqwS0qKop69erlDLGKVBQ9ayIioSvkAlPnXIqZ3QxEOeeWBbo+UnxRUVHEx8cHuhoSAfSswVlnnRXQcisjj2mg2igiFSfkAlMA59yKQNdBRCSYPfzwwwEt95FHHqm0skQkfITUHFMRERERCV8h2WMqIiKF6969OwAzZswISLmVWVZlt1FEKo4CU6kUkZhHUiqPnq+DBSojQWWWq6wLIuFHQ/kiIpKvxMREzKzAV0JCQoHvTUhIKNX7RCSyqcdURETylZSUhHOuVO9du3Zt+VZGRCKCekxFREREJCiox1REJAydf/75YV9uoNooIhVHgamISBi69957w77cQLVRRCpOSAemZtYC2Oicywp0XQR8Pl+h56OiNHNESkfPlohIZAjZn+Zm1gdYC/Q2s5Bth4hIRejSpQtdunQJ63ID1UYRqTihHND18n98Gbg+kBWRA/l8PlJSUors5RIpCz1nIiLhJ+QCUzMz/z9/BhYCHwOvmlnfMtyzv5nNM7N527ZtK4daRra0tDSSk5OV/NpPz1fF0HMmIhJ+Qi4wdf9LqjcLOAz4P2AyMMrMbsh7fa5AtrB7jnHOdXDOdWjQoEF5VjcixcbGUrNmTWJjYwNdlaCg56ti6DkTEQk/Ibn4yT+ndDWwHtgM3AVUxes5NefcG2ZWFajunNsbwKpGpKioKOLj4wNdDQlzes5ERMJPSAamzjkfsNHM1gH9nHO9zewRwIfXc1oVuBDAzC5wzu0PYHVFRCrd5ZdfHvblBqqNIlJxQjIwNbMof3D6A/4A1Dm31MwGA9HAS0Aa0B8o3X56IiIh7JZbbgn7cgPVRhGpOEE9x9TMTjazo/Me9wel4M0tPdLMOvs/XwvUArKAGKCmcy6zMuoaKXw+X4Ev8IZXC3qJSOVJTU0lNTU1rMsNVBtFpOIEbY+pmfUCJgBfm9mtzrlVec4bsAvYBjT3H54AHA88CHQCXjOzNOfcu5VWcRGRINCjRw8AZs2aFbblBqqNIlJxgjIwNbP2wBPAJuBEYIyZ9c8dnPpX5/9lZt8AfczsSuBUvJymU4EvgFRgXiVXX0RERERKIejGV80sBugNtAb+A1wDHAOMNrNWua7LrvtC4EygLdAXmO6c2++cWwH093+USuDz+di7d68SnkuFUmJ9EZHwFYw9punAKuAV59ybZlYFuA1vh6fRZnajc25V9jxT59yrZlYPWAZ84ZxL86eMcs65jIC1IgJlJzwHqFGjRoBrI+Eq93OmdFEiIuEl6AJT55wzs7fxr6Z3zmWa2RT8qaDIFZyaWbRzLss5NyQ7GM2+R8AaEMFiY2MxM+Li4gJdFQlj2Qn1lVhfRCT8BF1gCpA376hzbp+ZTfV/mh2c3uyc+w3AzNo455ZVdj3lQFFRUeXWU+rz+UhNTSUuLk4r+uUA5ZVYP9yfsT59+oR9uYFqo4hUnKAMTPOTJzh9FS+Rfn8gARhuZvOdc30DV8PIUNS8vtL+gs9735SUFJKTk3HOER8fH5aBgxRfRTx3qamp7NmzJ+cZK6/7BgsFpiISikodmPp3V+oCHA3UAPYCy4FZFbXTkj84/QwvT+lo4EMgDmgK9KmIMuVAlfWLWsO1kltFPHdxcXE458L2Gdu+fTsA9evXJzExkaSkpHyvS0hIYO3atRVSbkWrzLJEpHKUKjA1s5OAScAeYKn/Yy3gRqCmmV3inPul3Gr5v3KjnHOpZjYNaAc8jJfL9FTn3JLyLk8CR/ugS0UL92esV69egJfjMykpiYKm3nspoSum3IpWmWWJSOUobY/p68Ag59y4vCfM7GrgLbz0TeUq145PnYHueAHxqc655eVdloiIVL6EhIR8g+VvgZjq1elY+VUSkUpU2vGxlsBHBZybABxeyvsWyczigcFAB+A0BaWBpZySUhn0nEWOtWvX4pw76NWlc2f2pacHunoiUsFKG5h+j7fg6ICJPWbWABgG/LesFSuIcy4FuBloq+H7wMvOKZmWlhboqkgY03MmIhIZSjuUfw3e4qONZrYTb0i9JnAI8Jn/fIXRbk7BQ4uUpDLoORMRiQzFCkzNbD3Qxzn3NYBzbhtwiZnVAP4BxAMpwO/Oub0VVVk50J49e3L+nT3UWbNmzZxjtSqhDsVdQFJRQ7AVlb4q0mVkFL5pWpUq//vRkT0b0OX6XpT3172o56yyn4NQeO5uvvnmsC83UG0UkYpT3B7TpkCjvAf9QeiCcq2RlFhaWhpXXnkl8+fPZ/LkyZx44okVVlZZf+H6fD7S0tKIjY094F4V8Ys83BOoR5Kivn95A8WCnrOS3rcoxS0nEK644oqwLzdQbRSRilMuP0nNrLaZ1SmPe0nJpKWl8a9//YtZs2YRHx/PxRdfzC+/lHumrnJTmXMF09LS2LNnD6mpqRVelgSXynrOgnnu6/r161m/fn1YlxuoNopIxSnJHNNWZnaoc25zPucuBt4EosunWlKUTZs2MXHiRN59911+/fVXRo0aRefOnTn//PO5+OKL+frrr6m4ftPSq8y5grGxsZgZcXFxFV5WuNm1axdLly5l8eLFLFmyhO3bt3P99dfTrVu3cs97WREq6zkL5rmvV199NVD5OT4rs9xAtVFEKk5JAtOHgYfNbDewDG+XpxXAX3i7Lm0s99pJjpSUFBYuXMjMmTOZNm0a8+fPB6BFixa8/vrrXHbZZQB89tlntG/fnrFjxwZlYFqZSc2joqKoUaNGpZQV6tasWcNbb73F4sWLWbRo0QG7BNWtW5fq1aszdepUOnTowMCBA+nUqRP16tU7YK5pMKms5yzck/SLiFS2kvxWeQZYBxwDtMHrJe3nP+cDBpRrzSJYdhA6f/78nNeKFSvw+XyYGSeddBKPPvooxx13HPXr12f37t18/vnnNG7cmBNOOIGuXbvy6aef8vIRRxD8fVsSaL/99htdunRh27ZtHHHEEXTo0IHrr7+eY489lnbt2tGkSRMyMzN57733GDp0KJdeeiknnngid955J//617/0jImISLkpSWC61Dk3PvcBM6sLNAS2Oed2lGvNItCOHTu4/PLLmTVrVs5ijsaNG3Pcccdx1FFH8ccff7Bx40Z+/fVXfvrpp4PeX7VqVRYsWMBFF13E9OnT2dOwIbVrVcbafAlV2UHpzp078fl8rFq1ilWrVjFp0iSqVKlCbGwscXFxNGrUiBdffJFly5bx3nvv8fTTT9O7d29GjhzJjLQ06tatG+imiIhIGCjTOJxz7m/g73KqS8RatWoVO3fupE+fPqxevZr+/fvTrl076tSpw5NPPsmsWbNyVv7Wr1+fJk2aEBMTQ5MmTTjhhBOo5Q8+7777bh555BFuvvlmqlatyratWxWYSoFOO+005s6dy/79+3HOkZiYSFxcHFlZWdSrV48WLVqQnp5Oeno6CxYsoGvXrtxyyy2cf/75zJ07lw8//JDhw4ezZN06Dj/8cGonJ+fcu3bt2gFsmYiIhKriBqa3A79VZEUiWe6g9KWXXiItLY333nuPOXPmANCoUSNiYmLYuXMn69evZ+fOnRx11FEceuihdO3aNec+F1xwAVOnTuXaa6+lY8eObPv5Z1oGyXB+RaXSCbYUPaHit99+OyAojY+PZ+3atdStW5cmTZqQmJjIVVddlXN9cnIyw4YN48UXX2TlypW8++67XHvttVx55ZVsbNWKtWvXUnP1alq2bBmQ9lT2cxAKz90999wT9uUGqo0iUnHMORfoOpSKmR0LHI2X4H+tc25cedy3Q4cObt68eeVxq2LZsWMHp556KqtXr+bxxx/nlVdeYf369Rx66KGcdNJJ/Pe//2XHjh3UqFGD4447jpiYGFasWMGGDRswM0477TQuuugiTjrpJLZt20avXr3o2bMnbdu2pctjj3HcccdR+9dfK609kc7M5jvnOhR0vrKfr/xkD99v3bo1JyhNSUnh0EMPZffu3aSmphIdHc0pp5zCmWeeyfHHH090dDRZWVm89957TJgwgRNPPJF3332XQw89lCpdu/Lrr79y/z//yfTp04mKisrpxZfyVdjzVdizZWYU9LO+tOcqXZcuzPruO7oES33CTFE/u0QqS3AuqS2CmV0JDANi8bZCrWJm5wHXOOfSzcxc0Pw0LdjOnTs566yzWL16NU899RTPP/88KSkpPPbYY0yZMoUpU6YQHx/PaaedxpFHHkl0tJeNq2XLluzZs4fVq1ezZMkSvv/+exo1asT111+f02t62WWXYWZs3boVDapKttWrV+fMKc0dlMbFxbF582Zq167NkUceCcCCBQv4/vvvqVOnDl27duWaa67h2muvpWXLlrz44ot07tyZSZMmcVL16hx++OH8+OOPjB49WrvxBImVK1cC0Lp167AtN1BtFJGKE/zjUXmYWU/gNeBT4HygNV4qq0uApwBKGpSaWX8zm2dm87Zt21bONc5fVlYW//73v1m+fDmvvvoqNWvWZNOmTdx3333ExcWxYMECOnfuzMUXX0ybNm1ygtJstWrVonPnzkydOpWrr76av/76i88++4zatWuTmZnJ/v37adigAZs2blSOvwALxPNVkFdeeYWdO3cSHR1NzZo1SUtLo06dOjmbEOzevZu0tDQ6duzIK6+8QkJCArt27eLLL78kPT0dgFNPPZWZM2eSnp7OiBEjAGjYsCHnnnsujz32GH/++Wegmie53Hjjjdx4441hXW6g2igiFSekekzNrDlwD/Al8JxzbrX/+BvAccClZjYU2FGS4NQ5NwYYA95wWLlXPB8PP/wwX3zxBaNHj+bUU08lIyODevXq8e233/Lyyy/z5Zdf8s0333DWWWcVmotz5cqVTJo0iWbNmnH99ddz7733sqNaNepecw0ARwGccYZ3caNGsGVLxTdODhCI56sgX375JaeffjrdunXj3nvvpXHjxmzZsoXExETS09Np0KABjRo1YtmyZUycOJG0tDTOP/98rrrqqgM2Kjj66KNZnZbGIR9/nHPsC//HHSedhG/fvpCYhykiIsEl1H5zJACnAV/mCkrNOfcXMAVoATQK9mH8jz/+mKFDh9KvXz/69+8PQLVq1bjkkkuYNWsW27Zt4+mnn+awww7ju+++IznXaufcNm7cyB133EHdunUZOXIkr7zyCnXq1KFuRkb+Bf/1V0U1SULApk2bWLp0Keeccw533nkntWrVYseOHcTHx7NlyxbatGlDlSpV+OGHH/jll19o3bo1L7/8MjfffHO+c0YP8feg5lVv/35eeumlim6OiIiEoZDqMcVL8H8X8AZ4QWmuc5sAB96USjOLcs75SlzCypW4Ll3yPeV8PihgO8aszEwsbw+Rc6RnZJCamkrK3r2kpqWRmppKg5QU5tWoQZvFi8k4+WQa7dtHdFQUQ9PT+XdWFg0uv5xmTZvyY0wMyzIyiP7oI+oecsgBW0Hu37+fnbt2cUvVqhxRuzZ/3Xgjr2/fzuGHHw47Ck4pu/Xoo6lRs2bhWyg6V2A7gaBY5R9IZfqrZ+VKyOf5Kuqe+/1/bOzYsYM1a9eSlZl5wHtzf0+qVatGbFwccbGxxMTEULNWLWJjY3HbtvEtcNz48TB1Kt84R/L+/VR1jv2ZmTBzJuCtOK9Vpw6NU1OxF1/Mtz5Vi0gHddzdd5Py3nvE5t0O1rmD/5/komdLRCSyhVRg6pxbZ2bjsntE8/SMbgYygUb+cz4AM6vqnNtfWXVMTU1l+/bt7Ny5k9TUVLKysnLOVa1Shbi4OBo3akTTZs1yhjqrVatG1apViYmNpWGDBvy1ZQuHNm5MnTp1OCwxkdVr1pCZmUliYiLg7Qz1+x9/UK1aNdofeywbNmxg+/btNGvalGbNmsHq1QXWb8Vvv5HQogXNmjcnOiqq0ABUgofP5yMpKYnNW7YQHx9P/Xr1DjiX/Sw5ID09nbTUVHb+/fcBgU50VBRVq1bN2ULz6KOPZv369WzatIlDGzcmee9e6tevT+PGjcnIyCh0u9HoIobpo8xYtWoVxxxzjDc/Ws+ZiIgUQ1AHpmZ2MrDLObc8+5hzbmcBl2cHn3Vyvf8Y4AIzm+ic+6NYhbZujfvmm3xPZWRk5DtvbsWKFYwfP55p06axYsUKzIwTTzyRY489liOPPJKjjjqKFi1aUC9XMLE31/vT0tJyzsX9/TdXdOxIg8xMvv3kE9YsW8YH48czZswY7rzmGtq2besN3zdpwqhRo7j/yy95ee5cbr/9doYNG0amGdWqVy+weQ+feir//e9/uerUUxkxYkS+O/bkDnTyU1iPVyRwvkI64vMsUjtI69aQz2K0wu65Zs0aevXqxcItW+jXrx8PPfQQ1apVyzm/c+dOah1yyEHvS09PZ/ny5WzevJmVK1fy22+/0blzZ9r27QvA9u3bqQL0OfNMqlSpwswffyQmJoZdwPr16wtNkl+rVi0aH3pogedXjh5N3759efScc7jjjjtygmHnHFWrVi3wfXq2ihjkKer5yuWhhx4qY21KpzLLDVQbRaTiBG1gama9gAnA12Z2q3NuVRFv2Q+kAdX87z8GeAboDowv5H2lsmLFCiZNmsSkSZNYvnw5ZkanTp149tln6dmzJ4fm+aWdvep5z549/Pzzzxx66KG0bt36oF/SdevWZcSIEVx55ZUMHz6c7t2706dPH1auXMnIkSMBaNasGaNGjWL8+PF8+OGHOUGpFaNX6rLLLuPoo49m9OjR/Pnnn0yePJlGjRqV01dFytunn37Kddddh3OOt956i27duvHDDz+wdevWnGtSUlJyAj/w0okdc8wxVK9enSOPPJJTTjmlwPvHxcUxdOhQ/v3vfzNixAgefPDBcql37969mTRpEs888wyXXnoprVq1Kpf7SvHl3nyjMAkJCQX+7EhISKiwcksjpnr1Qn/OJSQksHbt2gorX0QqXlAGpmbWHngCb97oicAYM+tfRHCaCqQADczsMLw8pycDxzvnksqjXr/99huTJ08+IBg95ZRTeP755zn77LNp0aJFvu/bs2cPU6ZMYdq0acyaNYsM/3zB6tWrc9RRR3H00UfTqVMn2rdvT8uWLVm1ahVVqlRhypQpdO/enb1791KnTh3Am/+X3QM1YcIEmjVrxuOPP37AD2vXqBGWz0KnLcDIkSOZPn06mZmZvPnmm3z44Yfceeed5fHlkXK2YMECLr/8co477jhefvllWrRowYQJE4r1/apZsyYdO3bkxBNP5JxzzqFdu3Y5KceysrJYvHgx//d//8e8efP46aefAG/FfkkC06wGDYjOJ/1VVoMGmBlnnnkmM2bM4LPPPuPuu+8u9n2lfCxcuBCA9u3bF3pdeQdyxS23NDp27IjLNeKQt6zi/HEuIsEt6HZ+MrMYYAhwN9AP2Aa8BSwBbiwoODWzesBS4Gv/oYuAU5xzi0pSfocOHdzcuXNzPl+xYgUff/wxEydOZNmyZTnB6CWXXMLFF19MkyZNAG/Lxty9n3v27GHGjBlMmTKFmTNnkpGRQZMmTTjvvPM455xz2L59O4sWLWLx4sUsXryYvXv3HlCP7t2789RTT/Hhhx8yZswYdu/ezUUXXcTcuXP5+++/efHFF1m3bh1PPPEEZ5xxBpMnTz5gQdMff/xBs969+XP1ao7fvRuA+Ph43nrrLVavXs2gQYM488wz+fTTTw9aCFXUUH6kpwHyFTLcGh0dXaqdn/LeMyMjI2c3ryVLlrB//342b95Mly5dOOqoo3juuedyrt2zZ0/OqvmsrCyWL1/OnDlzmDNnTk5O0Vq1anHyyScDMGfOHPbs2QN4vaudOnXi5JNP5vTTT8+ZUlKcoXznHD169GDUihUcd9xx7Prkk5w6fPHFF/Tr148zzzyTSZMm5TxjRQ3l69kqfCi/sOcr77PVxb/IbtasWZW6g1Pucsv5xvhvXGBZQbVTVYjRzk8SLIKxxzQdWAW84px708yqALcBLwOjzayg4HQ/sAv4N7AbOK2kQSl4vVTZv5Cdc6SkpGBmnHrqqTz33HNccsklOcFofjIyMhg+fDgjRowgPT2dpk2b0rdvX7p168YJJ5xwwC/eiy66CPCGYvfs2cOCBQtYtmwZnTp1olGjRtx4443MnTuXtm3bMnLkSFq1asXWrVu55ZZbuOOOO3jppZd4/fXX6devH5dccslBwWmVqlVp3aoV95x+OikpKZxxxhlFBqUSHJ566ikWL17MlClTOOSQQ/jrr7+4//77ycjI4IUXXuCwww7LuXbnzp0ckmuOaatWrXKeraSkJJYtW8bs2bOZPXs2AJdeeimnnnoqRx99dM6CutL45ptvWLhwIc1atiQqV0/VxIkTufvuuw8KSqViLVmyJN8eQzMr1ZC8iEggBF1g6pxzZvY2/swpzrlMM5sC+IBRFBycJgPLgWZ4PaXLKYX69etz1VVX5Xx+2GGH5fSMFrT4KduiRYu45ZZbWLp0Kb169aJ///6ceOKJREVF5cwxzU9UVBQtW7akZcuWnHXWWTz55JO8+eab1K1blwcffJCePXvmlNuwYUNGjRqVE5zOmDEjJzjt1asXn3766YGrqc1ycqVOnjyZQYMG0alTJ8aPH19kwODz+UhLSyM2Njbie7LyU5qvz8qVK3N6efJyzuX0Vs+ZM4fevXtzwQUXAF6wN3PmTB5//PEDgtKiNGzYkKOOOopevXoddG779u3Fvk9+dR0+fDjNmzenQYMGOccnTJiQE5SOGzdOz1gZlPRrk5GRcUBvYYX1XIqIVKCgC0wB8qZ3cs7tM7Op/k+zg9ObnXO/AZhZG+fcMjN7ALjTObehtGU3btyY+++//6DjW7duPahnKltGRgaDBw/mgw8+oE6dOjz77LOcfvrpwP/2ci7Md999R3p6Ot999x1z5sxh3759nHnmmVx88cXs3buXnTsPTEQQHR3Nk08+yf3330+3bt148cUXGThwIE899RQ33HADAwYMICoqKicoOOKIIxg7dmxOT+l7771HTEwMkP/Qafax1NRUkpOTMbNCd5+qaAUNb/p8PlJTU4mLiyvwF3dFBDtl+fo453LmGOfm8/lyhrh9Ph89e/bkiSeeYO/evWzatInBgwfTvn17unbtSlLSgVOm161bV+D85qVLlx60EC/b6tWrvby3+di2bRtHHnlkge1YsWIFCxcu5LXXXqPaeG9t4eeff86AAQNynrHsgCrv9yD354F+xgobOs8+V1BwWJHPFgT+ayMiEghBGZjmJ09w+iowysz64+0G9byZ/eicu6my67VkyRIGDBjA8uXL6datG3fddVehc/Ny27dvH19//TXvvPMO69ato0qVKpxwwgl07949J9DIO/c0W/369XnggQd4/vnnueOOO3jxxRe54oor+PDDD2ndujXnnXdezrWTJk2ib9++OcP3Pp+P5ORkoqKiCv2Fl70FZVzeJOlBwOfzsX37djIzMzGzA1alV5bSfH1atmzJ5MmTDzqeO2VYbs45BgwYwP79+xk8eHBQ9Co65xgyZAgJCQn07t0bxo/nL38qqzPPPJOPP/6Y6OjonGessO9NsD5j2X/0ZE/nASr9GQvWr42ISEUKmcAUcoLTz4AsYDTwIRAHNAWuqcy6ZGRkMHLkSF588UXq1q3LY489xrnnnlus965evZrJkyfzxRdfsNef1Pzyyy/nlFNOoWbNmsWuQ926dQ8Y1n/++ef5/fffefrpp2nZsiUd8OavXnfddZx00kk5c0p9Ph9mVuQvvKIC10BKS0sjMzOTKlWqBGwOY2V8fT744AP+7//+j7vuuovmzZtXaFnF9eOPPzJv3jxee+01qlatyl9btrBy1SrOPOssJk2aRExMTE4GgKK+N8H6jKWlpbF3717i4+OpWdROaRWkrF+bp556qhxrE5zlBqqNIlJxQiow9W8zmmpm04B2wMN4C55Odc4tqcy6fPDBBzz//PPUqFGD8ePHF3sl6PLly+nXrx9RUVGcccYZXHTRRezZs4eGDRuWqh4NGzbkhRde4F//+hdDhw7lpZde4uKLL+all17iX1WrsmzpUmrWqcPEiRNzfrkGazBQEtltqV69elD0IlaUYcOGERMTU2gu0sq0b98+XnrppZze0oULF5K6ahWH1KmTs9DJOVdkT2mwy25HYdNEgl12FoZwLjdQbRSRihNSP3GztxkFOuMlzt9DAIJSgAsvvJBrr72W9PR0unfvzsiRI9myZUuh73HOMXLkSGrVqsWUKVN4/PHHOf7448uUe2/fvn08++yz+Hw+rr32Wt58802ysrK4+OKLWbFiBfvS05k4cWKhmQRCUXbgE6pBQ3E99dRTVK9enT59+hRrEcvvv//O33//XWH1ee6551i7di2vvPIKVatW5YknnqBKlSocdfTRYbX6PioqKqSDUiAnZVg4lxuoNopIxQm5n7pmFg8MBjrgpYQq1er7sqpTpw5PP/00c+bM4d///jdffPEFvXr14plnnikwQP3uu+9YtGgR/fv3z3c+YUllZGRw3333MW/ePB566CHS09P59NNPufbaa1m1ahV/79zJEUccoV6FENa9e3e+//57mjdvzoMPPsgLL7zA/v378712y5YtXH/99Vx11VX8/PPP5V6X6dOnM23aNPr06cPZZ5/NggUL+Oyzz2jWtOmBmSAkKAwaNIhBgwaFdbmBaqOIVJyQC0ydcynAzUDbQPSU5tWsWTOefvpp3nnnHXr27Mm0adPo1asXw4cPJzMzM+e6/fv38/LLL3PYYYflpAAqi/T0dEaOHJkTlDZt2pTnnnuOTp068Y9//IOxY8dyaOPGB/WU+nw+UlJSikzkLcEjMTGR0aNHc8UVV/DRRx9x44035tsr+s477+Cco06dOgwYMIDRo0eTlZVVLnVYs2YNzz77LMcddxw33HADAEOGDOGQQw6hSdOmB1yrZ0xEREorJLs5nHMrKvDeBwSUuWVkZBR47pBDDuGee+7hqquu4u233+bjjz+mTZs2nHPOOQA88MADbNiwgW7dujFu3LiD3r9r165875uZmcnmzZsPqsdLL73Eb7/9xqBBg2jWrBl33XUXhx56KNdeey133XUXxxxzDC3r1MH5fAf0sKWkpJCamlpoCpp9+/YVmj+xWrVq+b4vlBQVNFXUEG5Bz1d6enqBPaHgpQi74447aNeuHf/5z394/fXXuffeewEvJdS3337Lp59+yrHHHssZZ5zBzJkzefvtt5k5cyY33nhjvpki/spn29ps+/fvZ9++fYD3PAwcOJCYmBgGDx5MZmYm8+fP57PPPuM///kPVb75Bvw5WMFLc5Senp4zRzPvfaOjowvM0RkOzxYE7vkSEQl1IRmYVqSqVasWuBCpTp06Bf7iPO2003LO9ejRg/bt2zN16lQGDhzI7t27+eWXX6hXrx4+n4/58+dTp06dnLyVtWvXpmPHjvneNzU1lWOOOSbn83379nHffffx22+/8fDDD9O1a1fOO+88Dj30UCZOnEivXr2oXbs2kydPJqpvX+DA/aPj4uKKXJGflpYWsBQ5+Qmn7VELer4Ke7YAOnTokPNx7dq1jB07lmHDhtG8eXPGjRvHf//7XwDatGlDamoqJ598MvXr1+f7779n2LBh3HvvvRx//PEH3begPKbR0dEcd9xxANx6660kJSUxadIkzjrrLAB69+7NIYccwp133on5575m1z8qKopq1arl+4dN9rMYLM9YOD1bIiLhQD95K0BUVBR33HEHCxYsYPbs2Tz77LPs37+f1q1b89dffzF//nz++9//smHDhhLt65wdlGYP3yckJHDeeefRsGFDZsyYwYMPPsj69ev58MMPC0yqXpxFQ7GxscTHx4fVYpZwkr0BxLPPPgtAcnIyv/32G0ceeeQBveCtWrXiyiuvpE6dOjzyyCO8++67JR7a/+CDD3jvvfe49957c4LShQsXMm3atAJz9uoZExGR0lKPaR4LFy4s1sKkghLf51a3bl0eeeQR5s+fT8OGDalVqxaLFy/GzMjMzGTp0qXs2bOHTp06FatuI0eO5JdffmHQoEF06dKFnj17Ur9+fb788kumT5/Ol19+yVNPPUWnTp3y3V2ouEI91U8wK87zVZxnq2vXrrz99tv07t2bZcuW4fP5aNOmzUHX1a1bl+eff57Ro0fz4Ycf8sknn+QEjNnbn2ZLSEjgiSeeyOlN37VrF3fffTcnn3wyDz74YM51o0aNonbt2tx2223FanN+9IxVvBEjRoR9uYFqo4hUHAWmedSvX58rr7zygGPZ8wKjoqKIjo5m/vz5zJ49u9D7NGnShEceeYSbbrqJRo0asXXrVnbs2EG9evXYu3cvzjlq1659wD7jRWnXrh2ffPIJS5cupUePHiQkJLBx40b279/PP//5T2rWrMmbb77Jv/71r//d179zjfYiDw55n6+8z9a6dev45JNPirzPY489xjXXXMN5551H27ZtiYqKYtasWZx//vlUr179gGtjYmK488476dChAytW/G969q5du6hTpw7gzf2cPn06L774Ig888ADgDbHXr1+f9PT0nIT58L8csjVq1PDmUmZlEa1nK+i0b98+7MsNVBtFpOIoMM2jWbNmOUOk2VJSUkhJSaF69erExsZy8skn07hxYxYsWEDdunUBb0FSfnMEN27cyBNPPEHVqlVZsGAB//znP0lMTCQrK6vESe67d+/O+vXreeuttzj00EN58skn6dOnD7179+bbb7/ls88+4/zzz+fss89m+vTpHAFk+VdIQ3DMF410eZ+v3M9WzZo16dGjB3Fxcfzwww8cffTRhd7ryy+/5JxzzuGXX37hpJNO4ueff855BvIGpwCnnHLKAYn6V69efcAc0/r16zN27Fjatm1Lz549qVq1Kvfeey933HEHM2fO5Oyzzwa8+dRjx45l0aJFtG7dmmr+6QF5Q1PnHG+99RYdO3bMtzdXKtbMmTMBr3c9XMsNVBtFpOKom6MYsufDxcTE8PTTT7NkyRKefvppVqxYUeQc0cGDB3P99dfnrLieP38+QKl3XurXrx/du3dn9OjRLF68mNdff5158+YxcOBAOnbsyGeffcbWrVvp0aOH19PlHzIt61y+SEgBFIg25n62RowYwbfffssll1xCx44dGThwYKHD+s2aNePLL78kNjaWefPmcdJJJ7Fjxw6mTZtGenp6ieqxbds2jj32WDp06MCYMWP4448/ALjyyitp0aIFQ4cOzXnWs4Pb7777jtjYWKKjow/qMXXOcffdd9O/f3969OjB9u3bCy0/3J+vQLRvyJAhDBkypNLKC0S5gWqjiFQcK8nim0hwwgknuB9//DHfcxMnTuTaa6/l7LPPZvPmzSxatIijjz6afv368c9//pOEhIR835eZmUmHDh3Yvn07UVFRxMbGcuKJJ+b0sMbExBSYCWD//v2sWbOGXbt2sWnTJqpXr85hhx2WMz/1rbfe4ptvvmHcuHG89NJLOYnP+/bty9dZWbRt1w7f118fdN/cvyC3bdt2wJSCzMzMgwLn7J69+Ph4DjnkkMK/iPko6y/k8p6GkF99UlJSSE5OpmbNmtSsWbPA9xY2f7d69erznXMdCjpf0PP19ttvc9ttt9G2bVuWL19OzZo12b59O/Xr1+fGG2/kpptuKnCHsHvuuYcZM2aQlpbGCSecwNy5c6lbty7nn39+Tl7T/OzYsYPff/+ddevWsWXLFpxzHHPMMaxatYq4uDi++OILatSowccff8yjjz7KqFGjOP300wG45JJLaNWqFZ988gnR/kVRWf7n7K+//uLRRx/ljTfe4KKLLmL69OmcdtppjBs3DudcvtNXsp+vOnXqlOqPtsKer7xzafOqiCkueeuT+9kqbGFYUXPDC3u+zMzl/nnepUsXgGLtGFaeKqxc/33Jdd+8ZZlZiRaUyv+YWaE/u0QqS0j3mFqu39RWln09D7wn1apVO+gF8Oijj1KnTh0SEhJYtGgRF110ETt37uSuu+7ihhtuYNasWTlzBXO/qlevzuLFizn++OOpUqUKGRkZbNy4kWHDhjFx4kQaNWpElSpVDno553jnnXf4/vvvWbx4Mdu3b2fjxo3Mnj2bXbt2ERMTw+23385FF11E27ZtefDBB1m4cCHHH388b7zxBhn797Nk8WK2bdt2UHuWL1/OE088QceOHTniiCMYOHBgzg/0KlWqHHR97dq1qVOnTr6rsENRVFTUQa/4+Hhq1apVoVMe8nu+9u/fz5AhQ6hVqxY7d+6kevXqPP/88wwfPpzatWvz5JNPcuWVV/Lnn38e9GxFR0fz3HPPsWDBAlq0aMGyZcsYOnQoe/bsYdGiRZgZ6enpB722b9/Oe++9x88//8zmzZtzvvdLly4lIyODXbt28dhjj1GlShV69epF06ZNee2116hSpQpVq1alc+fO/Pe///XeZwZmREVFYWb85z//4Y033qBfv36MGjWKxx57jK+//ppXX32V6OjofP9/ZT9fhaUxCyWFPVua6y0iUrCQ/gmZu3sg+9/lFaDm9eSTT/LHH39www03MHbsWE455RQeeOABJk6cyKBBg9i1axe9e/emR48efP311wf91R4fH8+ECRNo2rQpMTExbNmyha5du/Lrr78eVNaePXv48ccfeffddwutU5s2bYiNjeXWW2/lscceo379+txwww0sXLiQ4447jrZt25Kxfz9nn302GzduZMWKFQwZMoTjjjuOTp068dxzz3HIIYdw0UUXMWrUKAYOHEhqamq+vU9RUVHUqFEjrH+pBqqNd999Nxs3bqRNmzasXbuWO+64g3r16nHUUUfxwgsvcPPNN7NkyRLOOusshgwZkjNnOLfsYf2GDRsyZMgQnnjiCZYtW8Znn312wLB+cnIy33//PR988EGhdUpISGDGjBl88MEHVK1alZtvvpnFixfz/fffA9C5c2d2797NokWLct6TPXz/5ptv0q9fPx577DHMjGuvvZYLLriAoUOH8t///jcin69wb5+ISHkJ2Z+SZtbFzB43s1fM7G4za2RmVZxzrryD099++42nnnqKc889l2+++YYqVarw4IMPYmZUqVKFnj178t577/Hcc8+xbt06evfuTZs2bXjttdfYsmVLzn0aNGjA5MmTiY+Px+fzUaVKFc4777wDrvn+++8ZP348ixcvpnnz5oXWKz09nTFjxrB7924efvhh3nnnHerXr8/111/PmjVrqFWrFm3btmXr1q20adOG9u3bM2TIEOrWrcuwYcNYsWIFM2bMYOzYsdx88828+uqrDBs2rMTzE0si3OcSltSXX37JmDFjcnogu3fvfkD6sOjoaM4//3xmz57NZZddxiuvvMJpp53Gpk2bDrpX3uD0hRde4O+//2b69Ok451iyZAkffPABy5cvp1WrVoXWKzo6mlNPPZWnnnqKtWvXctFFF+X0moIXmAJ88803Oe8ZPHgwL774In379s0JSsHrJR4+fDjNmzdnwIAB7Ny5s8xft4Lo+RIRCW0hGZiaWW/gc+By4FzgWWAOcK+Z1fAHp+XWtujoaGJjY1m2bBnR0dGkpqYyd+7cnPNr1qzhvffeY8yYMTl7mO/cuZPHHnuM448/ngsvvJDRo0ezefNmDj/8cO68805SUlJ48cUXqV+/PrNnzy71L9Lsnlkzo3HjxvTr14+UlBR2794NQK1atfj88885++yzeeGFF1i9ejVff/01/fv3z0nCb2YMHTqU9u3b8+OPP+a7oru8pKWlkZycTFpaWr7nQzmw8Ne5wv5PFWfuXLNmzbjiiitITk6mU6dOHH300Wzbtg3nHFFRUVSp4iXiWL16daH3yczM5LfffiM2NhYzo2rVqvzjH//I2Tq3SZMmnHTSSbz66qs4n49du3bxzDPPcMMNN/Doo48eNB+2Vq1a9O7dm02bNlXo91bP1/+MHj2a0aNHV1yFgqDcQLVRRCpOyKWLMrPWwDBgLDAc+As4DHgNuA842sxud87ttryrAQq+Z3+gP0CLFi0OOv+Pf/yD//u//6Nr164452jXrh1PPPEE48aNIzo6mtWrV2Nm/POf/+TJJ5/k22+/5ffff2fcuHF89tlnTJs2jfvvv58HHniAjh07snHjRo499ljOPvtshgwZwjXXXMOKFSto06YNp59+Ou3bt2fZsmUH5JzMT7Vq1ejfvz+1a9dm1KhRmBlff/01jRs3pl27djnXnXTSSUycOLGor0HOopOKHG7Mzg5QUJaA7MACQi+9VWpqKkDVvMcLe77OOecc+vfvz+uvv85pp53GjBkzOOGEE3J6TbOyspgxYwbjx48nJSWF2267jQEDBhT4tdm1axejRo3iggsuoE2bNuzbty9nXmObNm048sgj2bBhA3/++SerVq0qsC0bN26kUaNGjBs3joSEBLKyspg3bx7nnXdezjUPPfQQF1xwARuioti0aRMtW7bkhRdeyPn+5fXnn39Sv379EuXuLalwfb58Ph87duwAiC7q2mytW7euuAoFSbmBaqOIVJxQ7DFtCtQCJjjn1jjnUp1zy4CuwBSgBzDGzGoVd1jfOTfGOdfBOdehoF+anTp1YuTIkezcuZPt27dz2mmnsX37dmrVqsXdd9/NxIkTmTJlCtdffz0rV66kXbt2tGrVirvvvptvv/2WuXPnMnDgQHbv3s26deu44447MDN69uzJoYceyi+//JIzhF6rVi06derE1VdfXWi9ly9fzr59+3j99ddp1KgRycnJzJ49m3PPPTdo57IVtV1lbGwsNWvWDKutKot6vp5//nmaNm3KsmXLSExM5MUXX2THjh0sX76cAQMG8Oqrr9KuXTu+/vprBg8eXGhA9corr7Br1y4eeughgJyV4Nmio6NJSEjgzDPPLLTO1atX58MPP6Rly5YArFixgr179/LPf/4z55ru3btz4oknsnr1avbt28cbb7xRaN1WrVpV5BSCsgrX5ystLS17O9liLzmfNm0a06ZNq7hKBUG5gWqjiFSckOsxBbKAWCAnm71/bmm6md0MZACXAY+Y2UPOuX3lVXDbtm0ZOXIkd955J2vWrGHcuHE0bdoU8FIubdy4kV27drF+/XouvPBCNm7c+L9KZ2VxwQUXcMEFF+TsuLN8+XIAjjnmGL766it++uknjj/++GLXJy0tjZdffpmGDRuye/duZsyYwf79+znttNPYuXNnzr7o+eXCzG8eafb1KSkp1KpVK98yixoCLWtAnN9WlYWVmZGRUWiZ+W16UFYF1ScmJgZgf0nvFx8fzz333MN9991H8+bN2bRpE9dccw0A9erV4/7776d///6YWXav7AHWrVvHpk2b+Pzzz3nmmWc4/fTTMTMWLVrE7t27c3YeK4l27doRExOTMyUke9HTkUceye7du3N6He+77z64/HKaHHoojY47juTk5JyMEbk551i5ciUXX3xxgWVW9LOVfY/cz1eoPFu5ptdkFvdezz33HAAXXHBBWatVIpVZbqDaKCIVJxQD0y1AMnChmc12zqU55zLNLNo5l2Fmd+L1ql4LfAHMLO6QflFOOukkTjrpJNq0acO5557Lfffdx+eff86RRx6ZMyy6ePFiAE444YQDeqpyL/jImwe0X79+xMTEMGPGDB577LEDhnsvvPDCAz53zvHYY4/xxRdfMHDgQC655JKccz/88ANNmjShe/fupKen58zzy55XmFt+x6Kjo3HOVcgQZ7D24JZGtWrV8Pl8pKWl5bfVa6kmL95yyy3s27ePgQMHct1115GUlMRxxx3HoEGDqFGjBvv2Ffz31e//z955hkdRdQH4vemNUELoEHoHEUERBKlSPkR6kSIgHUS6dFBpCtKLICC9g4j0KqA0aSIgRSBIbwHSSdn7/ZjddZNserYk3Pd59kl2p5w7O2dnzpx7yvXrTJ8+nV9++YU333yTL774Ap1OR0REBOHh4bz55ps0btw4znbNmjWjTp06HDlyhAULFnD48GGaN2/OjBkzCAkJiaGnly5dokiRIsYHJ4Nu1a9fH90bb+Dp6UmY/rOsWbPG0aG7d+8SHBzMG2+8kZKvJ1GsXafUUiSkW7GNfYVCociIpJ8rth4p5VVgLlrM3geglYiSUkYbjFOgI5pn9VP9Nmlacfndd99l3759BAcHU6VKFfbu3WtcdunSJYBkt2Ds1asXLi4uzJkzJ8H1Fi1axO7du+nZsycffPCB8fPAwEBjr/TU3IijoqLSTWKIIZElODjY6mNOLMkmJQwYMIBatWqxfv16Zs6cyaRJkxItNn/16lV69erF9u3b6dq1K3PmzMHHxwfAWO3B8N6UyMhIjhw5Qu3atWnbti2XL19m7NixzJkzJ44nMCoqipMnT8aoFmCKV6ZMiER07sqVKwAUKlQowfXsBYNxGBUVZfVkKUvolkKhUKQX7NpjKoSoCryQUl7Wv3eQUurQEp3eBlYKIRpIKY8B6I1TV33i0zKgnRAiH3AvrY3Td955h1OnTtGkSRMaNmzI6NGjad++PRcvXiRfvnzJLkTv4+ND586dmT9/Pp9++qkxeck0RjAwMJAdO3bQpEkTOnfuHGM6fteuXURERKRqSkun0yGlTFK5qAQ8hlYjLCyMgIAAYzchQxkua4wrsSSblODg4MCSJUuoVKkSnTp1YuPGjWaT8Qzs3r2bLl264OLiwsyZM3nnnXdiLH/w4AEA2bNnj/H5gQMH+OWXXwgMDKRUqVLMnDmT0qVLs2XLFr766isAwsPDjR66wMBAgoKCqFq1aoqPzfDAlpQYU3vRrZCQEEJDQ43VEGLrl6WwhG4pFApFesFuDVMhREtgA3BACNFXSnlNb5QipbwjhJgITAd2CSGaSSkP6pcZrContGnVwLQ2Sg34+fnx+++/0759e7766isiIiLw9PTkwYMH7Ny5k0aNGiVrf23atCEwMJBNmzZx69YtIG47xTp16jBs2LAY5XhOnz7N6NGjKVGiRLJiVE1ZvXo1x48fp0OHDkkqF2UP2c3u7u5ky5YNIYTxJm4wKCw9LnOxsGlB3rx5+eGHH2jbti2lS5emc+fODBs2zGzL2qNHjxIaGkq+fPnMth016EjsuNQNGzaQO3duevfuzeeff44Qgs8//5yNGzcaOy9JKWPoWN68ealevXqKjunUqVNMnTqVsmXLki9fvkTXtxfdioqKwtXVlVevXpnVL0tNrVtKtxQKhSI9YJeGqRCiAvA1cB+ojJZl30NKaaxvI6X8VQjxBTAe2CaEGAnslFL+I4SoCFQErpHCmL+kYugl3qRJE6ZMmcKgQYN48803GThwIN9//z21atWidu3a5MuXL1Hvj6urK/369aNfv37Gz/79998EvWanT5+mXbt2+Pr6smbNmhR5mFavXk3fvn2pWbMmU6dOTdI+7MGrYy4D2x7GlVoaN27M5cuX+fbbb1m2bBnLli2jY8eODBo0KEbTha+//prSpUszcuRIunTpQvPmzenRo4cxca1ixYp4enpy4sQJ3nzzTUCblo+MjKRixYqULVvWaHz++eef1K5dm1WrVgFaTHTsWOiUcOrUKZo3b46vry8bNmxIV7pl8NiaxmPbw9iSSmKd4zKCXFsdo0KhsBx2F2MqhHADOgAlgHFAJ6AssFAIEWMeUEq5D+gLbARmAgeFEH8C64HywGApZdyU9DTG2dmZadOm0aBBA6ZPn06NGjX44osv8Pb2ZtGiRbRu3Zr//e9/TJgwgV9//dVsZnVKuHTpktEo3bRpE3ny5EnW9iEhIQwdOpQ+ffpQs2ZN1q5dm+QbbmJleWyFvY4ruRQoUIC5c+dy+fJlOnfuzMqVK40PPHfu3AG0Y23fvj0rV66kefPmbNmyhTZt2hibPzg5OVG+fHnOnz9vjFc0JFGZevtCQ0O5fv16miYmRUdHM2/ePD788EN8fX3Zvn27sYJFYtjzObTnscUmf/78iXaPS+9ybXWMCoXCctijx/QVmqdznpRyiRDCCeiHlvC0UAjRM5bn9DzQRQixDagOFACuAstN17M0BuMUtLqUw4YNY+XKlbx8+ZIjR46wZ88efv31V7Zv346LiwvDhg2jYcOGAMZuOuYICAgw67m6fPkyw4cPx9fXlyVLluDu7h4j8z8iIgKpT9iIjIxbwejkyZP07dsXf39/evXqxfjx441GqU6nizfZI3ZoQVKxRikgczITkpsejAuDgfrZZ58xY8YMVq5cycqVK6lRowYNGjSgfv36eHl5MXjwYD788EPGjx/PmDFjWLlyJb6+vhQqVIjjx4+zc+dOypcvbyz/FBgYyKNHjwgNDeXMmTPodDpKlChhfGgKDg5OMKTD2fm/PgKx9ez69et88cUXnDhxggYNGjB79mxy5swJWEa3DNsmRFqf6/SgW+vXrwe0EKGMKtdWx6hQKCyH3Rmm+qL4P6IvJK0vBbUVbUp+PmaMU/16PwkhtukToNKkPFRyMCR1bNu2jfbt2/Ptt9+ydetWevToQefOnenfvz+RkZH8/vvvTJ48mYkTJ1KwYEFjEX1HR/MNXXLkyBGnu8np06cZNWoUvr6+/PTTT2Y9pdHR0TjqpyBNy1aFhIQwatQoFixYQJEiRTh8+DA1atSIsW1iN1xr33QTkpdQnJ+lMqktcfyJ1cQsU6YMixcvNmbOb9u2jaFDhzJ06FDKlSvHhx9+SOPGjfnll1+oXLkys2bNYvfu3dSuXZt9+/Zx8+ZNWrRoYaytW6BAAfLkyUP27NmN8cw1atQwJkq5u7snGOdo+r0b9MzDw4O5c+cyduxY3NzcWLFiBR06dIgRq6p0K2HS8vgXLFgAWN9os6ZcWx2jQqGwHLZ/rDeDlDJSShll8j4c2Ab0AcqhGaclDcuFEOX060Xr/1rVKDXF2dmZNWvWsHz5cnx9fRkyZAh58+alY8eOHDt2jPfff5+tW7dSq1YtunfvnuwYKdOY0mXLliVr+v7IkSO89dZbLFiwgP79+/Pnn3/GMUoV9k2BAgWYOnUqV65c4eLFi0yYMIEsWbLwzTffULVqVWrXrk379u05cOAAM2fORAhBlSpVuHLlCs+fPzc7lX/+/Hly5sxJ7ty5UzyusNBQ6taty7Bhw6hduzaXLl2iY8eOMYxShUKhUCgSwy4NU3PEMk7LA/OFEEWFEHWAFUKIxTYdoAlOTk506tSJ3377jb/++otevXqxd+9ePvjgA8qVK8fChQtZv3690TjdtWtXkvZ79uxZ2rVrR1hYGO3bt+f06dNs2bLF+Dp79qzZ7SIiIhg4cCD16tVDCMH+/fuZNWuWyvxNxwghKFCgAF26dGH79u08fPiQlStXUqBAAVavXk3dunUZOXIkt2/fpkqVKkgpOXXqVLyGaYUKFVJsRN67d48zZ89y+fJllixZwpYtW5Id76xQKBQKBdjhVH5CSCnDhRDb0YrnLwTWAR5onZ4623Bo8VK2bFlmzZrFuHHjWL9+PStXruSLL74gLCyMLVu20KxZM6ZMmUKlSpXIlStXgvtasmSJsb3ohAkT4ix3dnbm2LFjcUryHD16lPnz59OgQQN++OEHs6WHFOkPQ0ywq6srXl5efPzxx9SsWZNixYpRuHBhzpw5w/79++nWrRv58+fnwoULxvq6pg8lz58/N5ZFSkqpMFPOnz9P6I0bZM2alXNnzyqDVKFQKBSpIt14TMFYYD8U+AWYh1YSKhfwnpTyT5sOLhG8vLz49NNPjd2ZZs2aRUREBIsWLQJgxYoVie5j+vTp/Pbbb8bXzp07jf9v374dgLlz58bZrnr16vj5+fH06VOzXYCSiqHTUnrpDJXRMZchnidPHrJly4ZOp6No0aIEBgYCkC9fPh4+fMjt27dxcnIyJiMBfPvtt5w/f55u3bpx9OjRBNufxubQoUOAFmOdUqNU6ZVCoVAoDKQrw9RQYB94H2gIBKIZpX/ZblTJZ/To0Tx//pz58+dToEABGjduzLZt23j06FGC2/355588efKEIkWKUKRIEQoWLGj8/6233qJdu3asWbPGmOBiwMXFheHDh3P69OkY7VOTi6HweVqVu1IGiWVwcXEhIiKCrFmzGovB58yZk+fPn3P9+nXy588fozbnRx99xOjRo9m+fTuNGzemQIECtGjRgsmTJydqqB45cgR3d/dke1pNSesWnEqvNDZt2sSmTZsytFxbHaNCobAc6cowBRBCeAKjgEpAdUO70vTEm2++afSavnz50piZv3z58ni32b17Ny1btqR58+bMnDkTc/ldn332GQBz5syJs6xDhw74+fkxYcIEoqOjzcrQ6XQJ9p13d3cnU6ZMxu5AydnWHNbsCf46GSsuLi68evWKbNmyGQ1TQ/jGzZs3KViwYJxthg4dyq1bt1i/fj3du3cnJCSEb7/91miotm7d2uh9NRAdHc1vv/1GlsyZiY6OTrAMVFL0ylwNXXvXK7Bf3cqePXucdrQZTa6tjlGhUFiOdGeYSilDgN5AufTkKXVxcYnx+vLLL3n+/DkLFy6katWqfPzxx/zyyy84OTnh5+dnfB04cIAhQ4bQrVs3cubMSbly5fjmm2+oW7cuP/30E4GBgcaXt7c3LVq0YM2aNfz999/GWovh4eHodDoGDx5sTJgyLDN9hYSEEBgYGK9H1NANBzC7bUBAAA8ePCA8PJyIiIgYr9DQUKKiomK8nJ2dcXd3x9nZOc76sV8pwVB+yMHBgfDwcIKCgggPD7dJWaLUYnos5l6mGDymPj4+hIaGkjNnTkqXLm1cXr58eXLmzMmzZ89ihIZcvHgRLy8vGjZsyJgxYzh58iTff/89bdq0Yc+ePUydOpWHDx/y8OFDnJycuHjxoqZ3mTOj0+mIjIzEyckJBwcHs3oVn/FmCEmIioqKc95fvnxp1KuoqCizeqvT6eLVq6ioKEJDQ19L3TJ0DcvIcm11jAqFvSCEKCKE+E0IcU0IcU4IUSkJ23QRQkghRFOTz8bo96Ez/dwW2McVNJlIKf+WUl6y9ThSQ8WKFWnSpAnTp08nMDAwXm/n1atXWbduHblz56Zz5860atWKhg0bcuXKFWbPno2/v3+M9Xv27AnA4sVxixS0a9eOAgUKMH36dLMeV4PnKiU9wN3d3XF0dCQ6OjrJniprdtHx8PDA29vbrLc3o2EwTA0e0+jo6BiloIoWLZqk/Xh7e1OrVi1GjRpF7dq1WbZsmbGHPcDhw4cByOztjaPJQ0tsEvKIJoa96xXYr269joapn58fQgizL3MzBQpFekEI8asQoqCZRd+jNRQqDgwDVosESqzo99EdOBFr0T6gAXAkTQacCtKlYZpRGDduHM+fP2fJkiXky5cvTozo7t272bRpk9EodXNzQwhBtWrV+OSTTwgKCqJly5ZGAwG05JcWLVqwefNmXr16FUOei4sLQ4YM4ezZs2ZLVKXmhu7g4EDWrFlTbICYIy2nSB0cHPDy8rIbb5YlMTVMpZSEhITg5eVlXF6gQIFk77Nfv34EBgbGSNL79ddfKV68uFZgX4h4v9vU6pWPjw9eXl52qVfweumWvePv74+U0uzr9u3bth6ews4RQtQXQhwUQjwUQrwSQtwVQmwQQpROfOukby+EqKn3WMZ+vUjmeH2BKsAyMLZpF8Bb8azvACwGPkPrsmlESnlCSnkzOfIthbqS2hCD13TevHmcOXPG6DXt1asXjx49ol+/fjg4OPDxxx/H8WIWKVKErl27EhISQt++fY2xhPCf19TQU92Ujz/+mAIFCvD5559z9+7dJI81KTfztPZUhYWFERISYrVYwYyCl5cXly5dMnaTOnbsGKDF43l6esZIfEoqZcqUoXbt2ixdutSoVxcvXiRnzpw4OjrimIpWokqvFAqFnZANOIPWBv0DYARQBjghhPCzwPb9gXdNXnWTOd4CwAMppWnfcX/95+YYBPwupTyTTDlWRRmmNmb+/PnkyJGDtm3b8ujRI+bPn8/Fixdp3LgxXbt2JTo6mhUrVvD8+XPjNlJKzp49y+LFi3FxcWHEiBEx6lLmyZOH5s2b8+jRozheU2dnZ5YuXcqTJ0+oU6dOko1TQ0JJckoJJYWEDBN3d3c8PDyQUtpdYok989VXXxEUFMR3331HmTJlmDt3Lvv372f58uVs2LAhxfsdOXIkQggGDhxIREQEvXr14ujRozx6+BBSWJzfUolKSq8UCkVykVKulVIOlVJuklIellKuBJoDmYCWFtj+b72n0vA6bbpQCLFeCHFeCHEeLeF7p+G9EKKEmf3FixCiLNACiFsE3c5QhqmNyZs3L5s2bcLX15e2bduSO3dutm7dSlRUFEuXLqV69eq8ePGC77//nn///ZfAwEBWrlxp7K6zbds22rdvH2e/3bt3B+CuGa9p5cqV2b17N48ePUqycZqa+FOdTkdYWJhZIyAh75WDgwNCCEJDQ9OsRNXrwDvvvMPu3bt58uQJz549o3Tp0sycOZP9+/enar/58+dn8uTJ/PXXXwwfPpwhQ4bQoEED/rlxg8CXL1O0z9TEnyZkfCZVr5TXVKGwHkKIkfFMYRte8209RjM80/+NSnAtC2wvpWwjpawgpawAnAYaGd5LKa8C/wK5hRDOJpsV1H8em+r6ZdeFEP5oIQCLhBD9kjsuS6MMUzsgT548MYzT0NBQdu3aRdGiRY397V1dXVm0aBHffvstt27dolGjRvTu3Rs/P212wN/f31hkHyB37tzkzJmTh48emTU8q1SpkizjNDXTqWFhYcZXbGPC3d0dT0/PBBNnPD097S6xxN4xnF9DVrvBON25c6fZxLekUq9ePTp16sSsWbPYtm0by5cvx83VlQt//cWJE7Fj6RMntXpl8LamVK/SKm7VHtm5cyc7d+7M0HJtdYyKFLOO/6atZ+g/q2Xy2Vcp2anQcErCyzGJ+3MUQrgIIYqhdZl8CKxNxniSuv1qIUS0EOKZEGKNECJZCQBSyifAKfSdL4UQ9dBiTONM1UspF0gpc0spC0opC6IlP/WQUsbtymNj0lVL0oyMwTht3bo1rVq1YsSIEWzevJkPP/yQ33//nTJlylCiRAkiIiKoWrUqPj4+BAUFceHCBaSUjBgxghs3bvD48WMqVaqEs7MzNXPl4tGjR0yaNImvv/46hjwpJWXKlGHLli00b96cWrVq8csvv5A3b150Oh2ZMmUyO06dThevEREVZf6B0MnJCRcXF9zd3Y2eLMBokJiGIcTG2hnWGYkqVarw1VdfMXbsWOP5njdvHqdOnaJfv36EhYUREBBgdtugoCBu3jQfB9+yZUsuXLhA165d2bt3L6XLlOHSpUvUq1+fdevW8dZbb8VbWzK+Grqg6U988a/R0dE4Osa8p7i6uiKlxNXVlZCQkBTpVUbGVg9z1pSrHljTF/rkmpsAQojOgL+U8tc02PX7wKEkrHcYqJmE9U7yXwLRP0BtKeXjZIwnse1fAt/pxxMIvAmMBI4LId5MpqxewHIhxFAgFGgvTbwPQojFwDYp5baEdiKEGA90A3yBskKIuUAVKWXSk1HSCJEa70lGpFKlSvL06dOJr2ghAgMD6datGxs3bqRhw4bMnTuXxYsXM3nyZKpUqcKqVavw9fUF4ODBg7i4uHDq1Cm+/PJL3N3dcXNzY8GCBXh6evLBpEncuHmTNwICOH78OHnz5jXKMb2g//HHHzRr1gxfX1+2bdtGvnz5zBqmhin5+AzF+GpCGrYz9GkPDQ3Fw8MjQxqbQogzUsp468hZW790Oh0nTpygQYMG5MiRg/bt2zN16lRcXV354osvaNasGeYqi1y/fj3BwuVCCOrVq0fhwoU57uZGZGQkbwQE8OTJE9asWcP//vc/43l3d3c3nuvYDzam6wDx6oS5B6LY+8/IemUgIf0SQpjej5g/X5sV7dOnj3UGZ2m5NWtqf3/9NUWyhBCpmi3I6CR27bKAvGPAEynlR2mwr0xAUmIug/RT4IntrxTgDRQGhgA50bpM+idxPMneXghREc37OUVKOTopcjIqGeYKri+DkO7x9vZm/fr1zJ8/nwMHDlC9enVq1qzJsmXL+PPPP6lWrVqMUk9SStauXUvOnDmZOHEigYGBLFq0yLg8n94YNdcNykDlypX56aefePLkCU2aNInT0tRAUlqSmov7M3hJQ0NDVWkdG2CY1n/8+DGLFi1i2rRplClThhEjRhgrQCSXAgUKMGPGDM6fP8/t27dxdXExhqN8/PHHnDhxIkmJTUlZR6fTERoaGieW1HRbpVdx2bBhQ6qS3dKD3OTIskWN04IFC9pVXdWExmNN9HU2ywJ/mlmWkkLvwcD5JLz+ScrO9LXST0op1wJ1AC9geBLHkqLtpZRngWtA5aTKyaik26u4EKKwEOIdIURTIYSjlFKX1PgRe0cIQe/evTl+/Diurq40atSIQoUKsW/fPmMc6tq1WrjKxYsXuXbtGm3atKFEiRK0bt2agwcPcvmy1qnV1dWVtm3bsmbNmninbSGmcWoumQoSbklqwFzSiYoTtT1VqlThyJEj5MiRg759+9K1a1dGjBjBiRMnaNq0KcHBwcneZ6NGjejWrRsPHjwgKCgoRqx0w4YNiYiISDSxKSnJT2FhYQQHB8cxXlOTOKV4/bBFjdPbt2/bVV3VhMZjZfzQMtUvmFmWkkLv7wORSXgdSO5ApZQv0AzapHUmSf32r71bP10apkKINsBWYD+wBTimN07jD2BLh1SsWJE1a9YQHR3N9evXKVeuHIcOHcLd3Z2LFy8C8OyZlvBXtmxZAGrqp7seP/4vRKVKlSpERkbGKDlljsqVK9OxY0f++cf8Q2VS4j3NJZWoOFH7oHz58pw8edKoP5988gljxowhQD8FnxI++eQTAML1Zcny5MnDoEGDCAwM5MmTJ4me96TqlLkC+0qvFIp0Sx79X//YC1JY6P0MmqcxsVfP5A5UCJETKAncSO62ydleaK1ES6BN5ydn/2nSkjQpy6xFukt+EkK0AH4ENqNl9eUDvgDGA2NsNzLLYCiSbvo+dhKIKamdkkntTf51SCpJz8TWH1dX11Ttz5y+pbWh6ODgkOFjRxW2xTDNn5LtYreFViQJQ0eYlkIIJyll8kt6mCClDEIrp5QqhBA/AWfRPLmBQHFgIFqpp+9M1nsfzfvaVUq5IgXbrwZu6dd9gZb8NAK4B8xO5rANLUl/0GflrxZClJTxuMFF/C1JE1xmTdKVYSqEyAuMQis58aWU8rYQwgX4CPCIta6I78SY2W8PoAekrF2jQpEQSr8UCvsmpcaltWMzMxAX0AyqHmiF51M0TW4BTgCtgcGAC3AH+BWYHCtxSQCOxJ11Tur2F4F2aK1BPdDKSW0BxkkpnyZ1sOK/lqSNQGtJqo/ffQszhrqI2ZL0u6QuszbpKitfaJ0OzgH9pJRLDdP3+qePp0AQWrmEJVLK5Gd0aDKeALGDf7Lr929tkivXAe3HYghpMPyvM7NcF2u72FXK08sx25tsPymlb3wL49EvS48puWQHAkiZLhmWpaSlkq2ONT3JjFe/9LoVkop9p4bX7XqREeUmeO2yNkKIX4GZUsqtNh6K3SKEeAtYK6UsbvLZXuB7KeUWM+sPATJJKcfF/n4TWmZt0pXHFHAG3NAy3ACkEKIb2pPHVcAVrQZXTyFEHynljuR4TgHM/TCFEKetWUbD1nJtKTujH3NyL/y2+D5ep3OfkWRKKX1fp3On5CoyOkKI/UCFeBZ/BCS5R7j4ryVpjeQsswXpzTC9jubunimE+BAty64B8C2wALgLvAdMBubp67I9TK5xqlAoFAqFwvrYU6F3WyOlrJvQcv1Ufm4hhLOUMlL/cUESb0kKkAutJWk+tJkvs8ts0RkqXWUTSClfAf2BWWgFa/MCl4AfpJS39Vn5J9AM0wJocR4oo1ShUCgUCvtHSjleSplPSukqpcyu//+1M0qTgkyjlqQJLbPSocQgvXlMkVLeF0IMRpvOrwA0k1LeANA/NbzSx0c8J1ZCVCpYlPgqFsFWcm0p+3U85oSwxZhep3Of0WS+TudOyVUo0qglqT2RrpKfYiOEeAf4DWgkpdyn/0wA9YA1wFQp5TdqKl+hUCgUCoXC/klXU/lmuApcBsYIIWrrP6sNfA5EAOtBTeUrFAqFQqFQpAfStccUQAjxNrAH8EYro+EAvASaSynNtTtTKBQKhUKhUNgh6d4wBRBClETrVpAfrajshljFbJNM9uzZZcGCBdNucLbk6lXtb4kSth1HGqLT6YiOjsbR0REHBweklHZV5PrMmTNPEyoJlaH0y8BroGf2QkL6lSF1y5QMqGf2gk6n49y5cwFSSh9zy83p1o0bWofNIkWKWHx8VpFnRr+sfYwZlcTui7FJd8lP5pBSXkGfgZ9aChYsyOnTqe5sZh/UrKn9/fVXW44i1eh0uhj/h4WF4e7ujoODAzqdLtFe7NZECJFg8fwMpV8G0rGemepW7M9DQ0MTbIVqC4M1If3KkLplSjrWM3sgISeUTqfDycnp9dUtUPplQRK7L8YmQximitcHBwcHPD09bT0MRQbHwcEhQaNUochI6PU8Jd3aFIo0R111FQqFQqFQJIsRI0YwYsSIDCvPVjIVymOqUCgUCoUimRw/fjxDy7OVTIXymCoyADqdjpCQkHjjBRWKtEDpmSK9o3RYkR5Qhqki3RMWFkZQUBBhYWG2HooiA6P0TJHeCQsLIzAwUOmwwq5Jt1P5QogygASuSykjbT0eheVILOve09MTIYRKVlEkm+RUdFB6pkjPGHQXwMPDw67K7CkUpqRLw1QI0QaYDOzX/71l2xEpbImDgwNeXl62HoYig6P0TJHeSUsdzpcvX5rsx17l2UqmIh0apnqjdDmwEtgkpVRGqUKhUCgUVmTVqlUZWp6tZCrSWYypECInMABYBUyUUu7Vf+4phHAWQjjq3yfruIQQPYQQp4UQp588eZLWw1a85ij9UlgKpVsKhSKjka4MUyAbUAbYb2g5KoSYCvwEHALmCiEKSSmTlXIopVwkpawkpazk65vkrlkKRZJQ+qWwFEq3FLZiwIABDBgwIMPKs5VMRfqbyvcBgoDdAEKIfUBV4BTgBnQFWgkhmkkpjwohHJJrpCoUCoVCoUiY8+fPZ2h5tpKpSH+G6Q3AC+gshLgClAWaAr9KKSOFEC2AkcDPQoh3pJTXbTdUhUKhUCgUKaFgwYLcvh23xboQAj8/P/z9/a0/KIVVSDeGqdBqWzwHdgINgfJAAHDWUC5KSrlZCPEKLTlqshCinSolpVAoFApF+uL27dtIKY3va9asCcCvv/6qSl1lcNKNYSo1DQ0XQiwHftZ/fExK+QxACOEspYyUUm4XQhxGM1xdAGWYKhQKhUKhUKQD0o1hakBKuVsI0QtYArwvhOglpfw+lmf0Edo0v6NNBqlQKBQKRQamePHiGVqerWQq7NAwTShhSQghpMaPQggnYCEwSQihk1Iu0q/zBvAOcAV4ZbWBKxQKhULxmrBo0aIMLc9WMhV2ZpgKIXoAfkKIsVLK6NjLpUnAiZTyByHEC2Ae8L0QoimaIeoHFAQ6SCmVYapQKBQKhUKRTrCbOqZCiE+A74EsgHtStpFSbkRLhPoKyINmkF4FqkkpL1tkoAqFQqFQvOb06NGDHj16ZFh5tpKpsBOPqRCiM7AUmA7MklIGm1lHmHpMTab1zwBngPH6z51VJr5CoVAoFJbj2rVrGVqerWQq7MBjqveULgFmADOklHf0n2cVQhQUQriBNo2vjyvF8N5kHy4mu4yyzsgVCoVCoVDYEwULFkQIYfZVsGBBWw9PkQRsapgKIQqheUofApuklPf0n88DTgA3gdNCiFkAUsoog3EqhCgqhGin/zzCsE9Tg1WhUCgUCsXrg6H+qbmXuYL9CvvD1h7Te8BAIDPwqRAipxBiJ/AJ8Bda7Ggg0FsI8SsYjVNPYDiwWggxwBYDVygUCoVCoVCkLTaNMZVSRgghFgAS+A74EAgCWgGHpZShem9pf2CUEOJHKWUXKWWIEGILUBLYZ6vxKxQKhULxOlKhQoUMLc9WMhV2kPyk73G/AC02dBywBjgopXwlhHCSUj4XQswAKgP1hRD5pZR3pJQ7hRCHpJRhthy/QqFQKBSvGzNnzszQ8mwlU2EHhikYp+eXAo+B84b6o/rPnaWUgUKIZUAjtDqnd/UZ+cooVSgUCoVCocgg2IVhCqD3kP4kpdQZSkHp/xpKP72JNs1/WyU4KRQKhUJhOzp06ADAqlWrMqQ8W8lU2JFhCmBoRao3So2tSYUQFYFaaPVKA204RIVCoVAoXnvu3r2boeXZSqbCzgxTU0yM0pZAT6AUWkenlzYdmEKhUCgUCoXCItitYSqEcAYWAHWAMKC6ajOqUCgUCoVCkXGxW8NUn60/C7gOrJVS/mvrMSkUCoVCoVAoLIfdGqYAUsq/hBCXDNP6CoVCoVAobM+7776boeXZSqbCzg1T+C/WVKFQKBQKhX0wefLkDC3PVjIVtm9JqlAoFAqFQqFQAOnAY6rIGISHhxMWFoa7uzsODnGfh1xcXGwwKkVGISIiwvi/TqeLo2tKvxTWJr5y2wb99PDwMHstTC+0aNECgM2bN2dIebaSqVCGqcJKhIWFERQURGhoKD4+Pun6gqywb5SuKewVnU7HkydPiIqKAsDLy8vGI0o5z549y9DybCVToabyFVbC3d0dR0dHoqOjCQtTnWQVlkPpmsJeCQsLIyoqCicnJzw8PGw9HIXCLlEeU4VVcHBwwMfHxzjFqlBYCqVrCnvFoI/xhTQpFArlMVVYEQcHBzw9PdUFWWFxlK4p7BGllzEpWLAgQgizLz8/v3i38/PzS9F2ivSB8pgqFAqFQqFIFnXq1En1Pm7fvh1vklhC8vz9/VMtO7kyFdZDGaYKhUKhUCiSxZgxYzK0PFvJVKRjw1QIUQYoBmQG/pZSnrLxkBQKhUKhUCgUqSBdGqZCiLbAN4AP4AHcEUJ8JqXcZtuRKeJD1ZFUWBKlXwp7Qwhh6yFYlIYNGwKwa9euDCnPVjIV6TD5SQjRDFgE7AKaAU0BCdS34bAUCoVCoXhtCAsLs2o5NmvLs5VMRTrzmAohMgOfAQeBKVJKf/3nrYG8QggHKaXOZH0hkxBZLYToAfQAKFCggCWGrniNUfqlsBRKtxQKRUYjvXlMvYAKwB9SSn8hhGH+LgwQwHohxBwhxMcAUkopkjCfIqVcJKWsJKWs5Ovra6mxK15TlH4pLIXSLYVCkdFIb4ZpNPAMqCaEcAUchRCfAp8CBdESoT4EVgkhxoFmnNporAqFQqFQKBSKZJCupvKBx8BuoAtwDfAHqqMlQi2QUv4rhCgHDALGCSGuSynX2GqwCoVCoVBkRBo3bpyh5dlKpiIdGab6eFGdEGIw8AioCGQF/gJWAfcApJR/CSFmA82BekKIDVLKKFuNW6FQKBSKjMaQIUMytDxbyVSkI8NUHy/qKKWMEEJM1L8vCYwGbkgpo4UQLlLKCCnlOSHEQ8AXbfpfYQV0Ol2Cy1UbPkVKUbqlsBWJRYNl9LJQCoW1sduruRDCMfZneuPTNNM+AqgKfCqE8NAbrY5CiOpo3tSLaElRCiui0+kICQlJ1JhQKFKD0jOFLVB6p1GzZk1q1qyZYeXZSqbCDg1TIcSbYDRCzRmnpo+vd4AnwFCghxAiC1ry0zC02qaLTctHKaxDWFgYQUFBqv6bwqIoPVPYgrCwMAIDA5XeKRQWwq4MUyFEU+CMEGIJxG+c6td1kFJGAq3QykVNB54Cy9FaldaVUv5jlYErYuDu7k6mTJlwd3e39VAUGRilZwpb4O7ujre3t9I7hcJC2E2Mqb4m6f/0b2sJIRZLKbsZjFMpZYxYUX0ilNBn4lcGPgfcgevAASnlXesegcKAg4MDnp6eth6GIoOj9ExhC5TeKRSWxW4MU3186CmgHVpsaFMhRJSUslcCxqnU/w0GJlp/1AqFQqFQKBSKtMJuDFM9J4AzwCSgL9BOn/HYW2+cxm45mhd4KqV8JYRwllJGJrUNqUKhUCgUipTRunXrDC3PVjIV9meYXgMKo9Uo7QM4A23QMut76qfv39SXg8oGbARKCyFySynDQHV6sjQJZaLqdLoUl+1R5YAUCWEp/VB693qQmtuClFKVhDJDnz59MrQ8W8lU2JFhqp+qfyWE2Aa8I6WcL4QYCMwAWgkhnIDswCshxGfAS7RkJzcgJ1oXKIUNcXBwUDdyhUVQeqWwFUIIZZiaITQ0FAAPD48MKc9WMhV2ZJiaxI8eB2YLIQpLKW8KIfoAC4GPARegnZTyEYAQoh3gZXivUCgUCoXC8jRq1AiAX3/9NUPKs5VMhZ2Vi9JzFniB1rUJKWUA4IU21lCgjmFFKWWIMkrtB51OR3Bw8GtfeFphWVSBc4WlULqlUNgeuzNMpZSXgedAWyGEsxDiZ+AdtGSo7UB3IcQMW45RYR5D4WnD9IdCYQlUYX2FpVDF8xUK22M3U/lgLJqvAw4D5YCtaC1He0kp1wshtgAhwPe2G6UiPtzd3RFCqHgchUUxFDZXBc4VaY3SLYXC9tiVx9SkFNRWtCn7akA3/XvDtH5PKeVVW4xPkTAODg54eXmlSaKKmlJTxIehwHlq9UzpmAJi6kFa6ZZCoUg5duUxNSClPCKE+BCtXNReKeUrk2XR8W+psDTWKq9jmK4FVJcVhUX0LjQ0VOnYa0JC5aIM0/eg9CA5dO7cOUPLs5VMhQUMU6HV1agupTySmv1IKXfELqivsD2W8iTE3q+np6cxLEB5LxSW0AFDyInSsYxPQuWeDNP2Hh4eqixUMlCGqcJSWMJj6gIcAhxTuyNllL6+GMICFApLoXRMAUoPUsrTp08ByJ49e4aUZyuZihQapkKIhPp0uaRwLAqFQqFQKNIBLVu2BKxX49Pa8mwlU5Fyj+la4CTwyswyNSf2GqHT6QgLC8Pd3V1NhyoshtIzRVqg9EihsH9SapheAcZIKQ/EXiCEcEMrhK94DVBJSgproPRMkRaoRCeFwv5JqWG6Ea0/vTmigOUp3K8inaHq/imsgdIzRVqg9EihsH+SZJgKIe4AnQ0eUinl+PjWlVJGAV3SZHSKBDE8+ceHtxXGYKj7lxiGcj/xTaWldFotoTJCOp2O8PBwlXWdAiIiIhJc7uT036XDkMcsTc5FWn/fielZbD2IrWdpPR5L6bMi5URHx60kGBUVRUBAANmyZcPFxSXJ1ytF0ilYsCC3b982u8zPzw9/f3/rDkiR7kmqxzQv8XtIFTZGSsn48eM5cuQIq1atIm/evBaTldobrjWnZE1lqazb9E1iehfbMLWWnqkQA/smICCAR48eAZA7d24bjyZj0bt3bwDatm0bb53YtCy/ZZBnTWwhU5FG5aKEEJkBIaV8kRb7UyQdKSUjRoxgwYIFODk50bhxY7Zv325R4zQ1WHMqTbVIfX2xlp6pqWH7Jlu2bDH+KtKONm3aAJphak151sQWMhXJM0yLCyFySykfmFnWDFhCGtQuVSQNKSXnzp3jhx9+YPXq1fTp04dmzZrRvHlzGjduzN69e60ylZ9crDmVpuoTpo7g4GAuXrzIX3/9xdOnT2nfvj0FChQwtnC058xma+mZmhq2T0xDLHLkyGHr4WRI7ty5YxN5+fPnT/E+/Pz84vXiHgLcXF2pksYyFcknOYbpGGCMEOIlcAm4DPwNPAI6A/fSfHSKGISEhHDo0CF++eUXtm/fzv379xFC0L9/f7766iuEEGzZsoUPPviApUuXMtHWA1akG0JDQ9m7dy9//vknFy5c4Pz589y8eTPGOhMnTqRz587069cPDw8PfH19yZQpk41GrFCYR6fT8fTpU2PMqXpwsAwdO3a0ibzU1BRNMN61Zk1+PXw4zWUqkk9yDNNvgH+BskAZNC9pd/0yHTAgTUeWDIQQQibUDDkdEhISwvnz5zlz5ozx9ffff6PT6fDy8qJ+/frUrVuXunXr4unpyf379/Hw8ODtt9/m3XffZevWrUz09bX1YSjSAS9evKBevXqcPn0aIQRFihThjTfeoEOHDpQrV45y5crh4ODA1KlTWbZsGcuWLaNly5aMHDmS0qVL23r4CkUMwsLCiI6OxtHRUYVYKBTpkOQYphellGtMPxBCZANyAE+klM/SdGSJIITIBTijlacKQF/sPz0bqZGRkYwaNYqdO3cajVCAXLlyUbJkSbJkyUJkZCQODg5cvHiRI0eO0L9/fyIjIwHw8fHh3LlzNG3alGHDhhFSuTKeKr5SkQAvXrygbt26nDt3Dm9vbzJlyoQQghs3bnD//n2OHDmCu7s7uXLlYuzYsQwbNoxvv/2WZcuWsWnTJrp27crM8HBc3dxsfSiK1xzD9L2rqyve3t52HWqiUCjiJ1XJT1LKADSj0KoIIdqhhRbkA1yBvUKItVLKNenRKL127RqRkZEMGTKE3bt3U716dXr37k2JEiVYs2YNd+7cMU4lZMuWDXd3d1xdXSlUqBAlSpQwTqfOnz+fCRMm0LhxY4QQPHn8GM+CBW13YAq7pm7dupw6dcqYVe7q6gpAUFAQOp0OZ2dnnj59yqtXrzh48CA///wzY8aMoVWrVvTv358ZM2awdOlS2kVFUapUKVz1+wHInDmzTY5JkbEJCgri2pkzcT6XUhIWFkahQoXw9vZW0/cKRTomqYbpZ2jdnmyOEOJDYBmwGjgGZAU6AauEEGWB0VLK+Itb2iGmRumIESOoVasWGzdu5Msvv+TZs2d4eHiQI0cOnj59yvPnz/H29qZEiRKULVuWFi1aGPfz119/sW7dOlq3bs0bb7zBk2vXKGgnhqmlPBfKI5IyXrx4EcMozZQpE0FBQeTKlQs/Pz+KFy9Oq1atjOv7+/szYcIEhg4dSq9evZg4cSIzZsxg0KBBhL79Nv9cv06e589tlv1sbT1Qemc/SCkJCgoiOjoaJycnvLy81PmxExJKNjIsVyhikyTDVEo5z9IDSQyTKfq2wB/AWCnlXf2yPUA34AsguxDicyllmO1Gm3RMjdLBgwfzxx9/MHnyZBwdHXn33Xfx9/fnwYMHhIeHU7x4cdzd3bly5Qr+/v78/vvvvHz5ksaNG5MjRw4+/fRTOnfuzIYNG6hduzYh588TEhqK8h0oTDFM35vWeA0KCsLFxQV/f3/8/f35+++/cXBwoGbNmvj4+FCwYEFmzJjB1KlTmTt3LkFBQUydOpX8+fOjK16cP8+fZ8SIESxcuNDGR6d4nYiKiuLx48e4urri7OxMjhw5lFFqJQYPHgzA4VgJQ6akZXF9gzxrYguZijSqY2othBCOQAnghpTyrhDCUUoZLaW8IISYDDwGxgHhQP9k7LcH0AOgQIECFhi5eaKiomjfvr3RKD18+DDnzp2jW7duPH/+nF9++YXIyEhKlChBxYoV8fbWCkBVqlQJf39/rl+/zqJFi1i8eDHVqlWjY8eOVK9enXXr1rFo0SIAnjx5ogxTG2Mr/TLHy5cvqVevHufOnQM0ozQ4OBj4r9uTs7Mzr169YunSpfz444+88cYbNGjQgOrVqzNu3DhWrVrF8uXLuXz5MqtXr6aQlxf58+dn3bp1fPTRRzRq1Mhmx/e6YU+6ZW3Wrl3LixcvqFGjBlmzZiVbtmzKKLUiH374YYaWZyuZCkg3v2KpEY0WUlBJCJFZShmtN1bR11ddBEwF+gkhBiRj34uklJWklJV8rZjJPmPGDDZu3MiIESMoWLAgp0+fZujQoRQoUIDNmzfzxhtv0KxZM2rWrGk0SgEcHR0pUqQIbdq0YdOmTTRo0ICjR4/yzTffULFiRQIDA3nx4gVZsmTh7t27/PPPP1Y7JkVcbKVf5vj+++85ffo0UkoyZcpEcHAwTk5OCCGoUaMGhQoVIjIyktDQUFq2bEmBAgU4f/48U6dOJSgoCEdHRz755BOWL1/OhQsXmDJlCqDV+StbtiwDBgwgIMDqYeevLfakW9YkLCyM7777jiVLluDq6kqOHDnStMuQInGuXr3K1atXM6w8W8lUpCOPqclU/j6gITBQCDFZSvlKCOEgpdRJKR8LIRYD5YDPhBAHpJR/2XTg8XD37l2+/PJLmjRpQufOnQkKCsLd3Z0bN24watQo1q1bx5UrV8iXL1+C+3FxceHChQt4eHjQs2dPvvrqK544OZG9V6//VipWTPubMyc8fGjBo1LYO+fOnaNgwYI0btyYuXPn4uvry5MnTwA4cuQIAE5OThQtWpSzZ89y+/ZtSpYsSY8ePWLULG3atCmNu3cn29Klxs8MP7QXpUpBWLqIpFGkB3LlAn1b0UzAW5UqARDs5cW6mTMpVKgQjo6qt4u16dmzp03kWbOmqC1kKtKZx1T/71rgT6AP0FQI4SSl1AkhHPTr3QR+AAoBRWwy2CQwZMgQoqOjmTlzJqAln/zvf/9jx44dREdHM2fOHBwdHTl48KBxijU2gYGB9OnTh4CAAGbNmsXPP/9MZGQk2aOizAvVX9wVry9//vknb7zxBpMmTcLNzY3Q0FBcXFxwcXEBIE+ePGTNmpUrV64QFBTE0KFDmTZtGiVKlIizr2zx6GWW8HC2bdtm0eNQvEbEc93yDA7Gz89PGaUKRQYj3XhMQYsxlVJGCCGaA6eASUCkEOIXKWWkEMJVSvlKSrlNCBEAVAa2JkvI1atQs2ZaDz0Gz1+8oNeffzKlYEEKdulCqN67ND84mEuhoWRt1oySuXLxd86cXLl6Fbc1a8iWNWuMfURHR/MsIIC2Oh3FihYl9KuvKHrnjuZhvXs3XtmvqlbFVW+EKGyABfUrKDiYe3fv4ubuTr68eXFyivnzjo6OZsGVK/iFhZHpww856uREcHAwLs7OROhr4XL/PgLw9PLCL0cOHHbvht2748jySKQcVPaWLYl8+22cndLVJSZ9Y4Vrl73x9hdfEGMCX3UiUyjSPXZ71zAkNpl+ZogplVK+EEI0BnYCs4BcQogfDZn4QohqaN2obsbZcSpIqECq1OkggRgnnU4HUhIYFMT169dxc3UlT548ROk7lDg6OuKSNSuZvb25d+8eOXPmJLuvL3mDgrh3/z6gFdoHiIiM5Pq1a0idjvLlyxMWGsqdO3fImjUrhQsVStAwPX36NEWLFsXHxwdHBwfzY5YywWOxp0iuxIrWWmKstiiUq0ugPO/z58+5d/cuAc+f4+DggE6n4+6dO+TOk4dcuXIZu98E6rPwPT080ElJubJluXb9OgEBAWTLlo2AgAB8fX0pUKAAUso4hm2M8URHx7sMtGoT169fp1ixYjH1TEpEAgkqSrdeDxI6ztgxyj4JrOutDFGFIsNhd4apEOJNKeU5EyM0jnGq/3tNCPE+sAPNc9pYCDENKAo0AaKBA8keQIkSEE88idTFXx41IiLCbEaoTqfj5MmTrF+/nm3btnHv3j3c3NxYu24d4bVrA1r7UWNB6Bs3+KBaNWpky8b69eu5d+4cU6ZMYe/evUwbMoRixYpp0/dOTsxZsIBrUtK9e3dq1a7Nli1biHJ3x0VfKN0cH+fOzYN//mFC58707t3bbCFqnU6XYHZrQoaFtUnonIBlxpqgzMSmFRPQr4SIMjNtfu7cOSZMmMD2I0fInDkzPYYOpVu3bvj7+zNl+nT27NlD5sBAPv/8c/r168eWLVvo1asXFzduJEuxYjx5/BgZEECT6tUpW7Ikq1atwt3dnRDgzp07CRbJ9/b2Jlfu3PEu3zdqFBMnTmTJ5Mk0a9bMqGdSSpydnePdTulWIiWYE9KvFOqWTUjgQeuU3kOv0+nYtm0bC/9KIE0gvRxvekAlj+Hm6mo2iU4IgZ+fX5qWv1LEj/3cBQAhRFPgjBBiCfznIY1nXQcp5T3gHWAx4AfsB6YA+YH6Ukp/a4w7NjqdjuPHjzN48GCKFi1KzZo1Wbp0KRUqVOCHH37g+vXr1NYbpbEpUqQIY8eOZc+ePaxbtw4hBCNGjKBYsWIMHjyYJk2aEBAQwOzZs7l9+7ZmlNaqxZYtW5LUF/qbb76hSpUqfPHFFwwcOJBXr16l9eErLMy5c+do0aIFVapU4bfffmPw4MGcOnWKQYMGER0dTYkSJVi2bBl79uyhSpUqfPXVVxQvXpy5c+fi4eFBkSL/hV7nyJGDMWPGcOzYMX766ac0G+Pw4cMpV64co0aNIkwlQimSSXR0NDNmzDCWvVPYH6NHj2b06NEZSl6VKlWQUhpf+/btY9++fUgpuX37tkVlK/7DbgxTIYQL8D/921r67Pp4jVN9wpOjlPIVMAwtnrSa/m8dKeUFKw0dMG+MLlq0iIoVK7Js2TL++ecf1qxZQ+vWrWOUfjJHqVKlcHJyYurUqYCWef/BBx8Yl48fP55ChQoxYcIE8ubNy+bNm2MYpTJnTrP7fQiMHDmShQsX0rNnT5YsWcKCBQtSf/AKqxASEsKAAQOMBum4ceO4du0abdq0YcOGDXz00UeUKVOG8uXL079/fx4/fsyCBQs4ceIE1atX5+LFi7z55ptGb3hERAT79+/n5MmTgNbSNjlEx1OeKNrXFxcXF/r378/Dhw9ZtmxZqo5b8frx22+/ceDAAWrUqEG8dUTiuc4prEPdunWpW7duhpVnK5kKO5rK1yc1nQLaARfRMu6jpJS9EpvWB4SUMhQ4bs0x63Q6Tpw4wcaNG9m0aRP37983GpGGnvUGIzQ8PJzg4GD++ecfbt26xYsXLwgODiY4OJjnz5/z6tUrgoODefjwIb/99hsFCxZk2rRpXL9+ndmzZ/PXX39RunRpbt26xezZs5k/fz6tW7dm3bp1jB07lqlTpxqnICL//Zd//vmH7K1acfXKFTrmz0+DBg1YuHAhg5s3Jzo6mrNnz5IlSxY++ugja35lihRy5MgRevTowa1bt+jTpw+9evVi3759NGvWjGPHjiGlpGTJkgwcOJC7d++ye/duNm7ciLe3Nx999BFdu3Zl7NixuLu7s3PnTjZv3sy2bdsIDAzE29ub1q1b06lTp2SN6cmFC3Tu3JnR+/dT8a23CPz5Z0Dzdt08eZJBgwZRpEgR2rVrZ4mvRJGBKV++PPny5ePIkSPkBjp16sR0fVMInwtW9Tko0Npdx1cn1lptRc+fPw9AhQoVrCLPVjIVdmSY6jkBnEGLGe0LtNP/GHrrjVMHKaUxCEsIkRd4qq9l6iSljKdOUuqJjo7m+vXrXL58mcuXL3Pp0iV+++037t69azRGJ02axP/+9z/c3Nw4cOAAS5cu5fr161y/fp1r167x4MEDs/t2d3cnU6ZMeHl54eXlxciRI/nkk0+YNm0aS5YsIXPmzIwZM4aGDRty+fJl+vfvT58+fZg/fz7Zs2dnzpw5ADGMU9C6+pQoWZK7V6+ycOFC3n//fbp168bkyZP5448/2Lx5M4UKFYr3mHU6HWFhYbi7u6uOKmawxvcTEhLC8OHDmTt3LoUKFWLFihUsXbqUN954AyklZcqUYdCgQTRp0oTixYsbt4uIiODo0aP8/PPPbNu2jZUrV5IlSxaklLx8+ZLMmTPzwQcf0LRpU6pXr24sF5UcLly4wJ49e5iXPz9OJrGPZ86coUOHDuTIkYO9e/eSN2/eePehdCx+XsfvJioqisDAQJ48eUKLFi04e/YsOXPmpE2bNqA3TBXWJyIiAhkrLrimvgKEtWp8DhgwwKrybCVTYX+G6TWgMFARrU6pM9AGLQG2p376/k0p5TkhRDZgI1BaCJHbkJGfWu7evWvsjyul5OHDh1y+fJkrV67EiMf08/OjUqVKTJo0iQ8//BA3NzccHBw4ePAgAwYMMHaL8PHxoVixYtSuXZsiRYpQtGhRihQpQrZs2fDy8sLT05Pw8HBjcohOp2PNmjVUq1aNgIAAmjZtSu/evY3FzcuWLcvs2bPp378/ffv25dChQwDMmTMHKSXTpk2LY5yuX78enU5H/vz5OXDgACtWrKBPnz40bdo0we8iLCzM2E/dXJKUrdHpdISEhNjsxm3p7+fw4cN07dqVmzdv0rdvX+rXr0/nzp0BGDNmDM2bN6dUqVI8fvw4Tga9i4sLderUoWbNmmTOnJkDBw4YY0ibNWtGnTp1ePHiRYKZ94kxffp0smTJQm6TJKgzZ87Qvn17cubMydatWxNtEJEedMxWxqG9fzdpwYMHDxg5ciS9evWicuXK+Pv7c+fOHYKCgsiVKxd9+vTB29tbdXVSKF4j7MYwNcSLCiG2Ae9IKecLIQYCM4BWQggnIDvwSgjxGfASeAq4ATkB/7QYx5MnT1i4cKHxfZYsWShRogRdu3Ylf/78VKhQgWLFiuHl5WVcJzw8nJ9//pkff/yRw4cPkzt3bsaOHUv58uWNU/k6k2zboKAggoKCCA0N5d69e1y4cIGAgAAePHiAv78/9+/fp3jx4gwaNAh3d3fu3bsXY4xOTk4MGjSIadOmUatWLebNm8fTp0+ZO3cuT58+ZeDAgbx48QI//RNuqVKlAM3oHjFiBGXLlmX8+PGJZt8b4laTklRlSXRmMpV1Oh1Pnz4lSt9MwBY37pR8P0+fPmXJkiVxPg8PD8fNzc34/sSJEyxevJiCBQsap96bNWtGrly5GDJkCDlz5jR676Ojo8mfP79Zebdu3cJVX6Whfv36AISGhvLLL78QGhpKznji9AICAsiRI0e8xyGlZM+ePQwePBjH339HSsmpU6do3749Pj4+bNq0iRw5cvDq1asYRkXsrHxb65g53TJ8HhoaipSSkJAQwPo6ZuvvJjXE9q7FplatWrx69Yrz588THh7OihUrKF26NG5ubpQuXZqyZcuSO3du4wN5YvtTKBQZB7sxTE3iRY8Ds4UQhaWUN4UQfYCFwMeAC9BOSvkIQAjRDvAyvE8LypYty549e8wue/78OVljFbqPiIjghx9+YOrUqUgpad++PQ0bNuSPP/5g165dhIWFxXmFhITw8OFDnj17ZtyPEAIfHx9y5sxJw4YNeffdd3FwcODx48eY64Ht6+vLkCFDmD59On369GHevHlIKVm3bh1SSqNRC1C0aFEiIiL45JNPcHR0ZOXKlURGRhIeHh7DwDZgMFYdHBxitKG0J8LCwoiKisLJyQlPT0+rerNS8/3cvn2bbt26JWndXr16MXLkSCZNmsSSJUsoW7YsvXr1QghBaGiocRyhoaEUM7SdjYWp/hi+M8OYnz59GsPbaYqUMo6umzJhwgSyZMnCF198gXPLlgQGBtKhQwdy5szJjh07yJEjByEhITg7O8cx6EzPlb3qWFhYGMHBwXh5eeHt7Y2Hh4dVdCw9fDdpQVhYGBcuXIgxC3Xp0iXy5MmDm5sbnTp14q233opRskx8+60thqpQKKyM3RimJpwFXgC+wE0pZYAQwgutgkAoUAfYACClDAFCbDROjh49ysiRI/nnn3+oVKkSPXv25NKlS/Tt25eXL18a13N1dcXd3R0PDw/c3d1xd3fnzTffJG/evOTNm5eXL19Svnz5BOs7mqNo0aIxpvXnzZsHwPr16xFCsNqkUP6IESM4ffo0GzZsoGTJkkRFReHh4ZF2X4aVMfUmpaf4u1KlSrFq1ao4n4eGhsY4H15eXri5udGlSxcOHDhAvXr1aNWqFXv37mXz5s1kyZKFSpUqUblyZWPjBXOEh4dz/Phx/vjjDy5evGg0TPPmzUuWLFm4ffs2fn5+FChQIMG6paZcuXKF7du3M27cODJnzkxgYCB//fUXOQoWZO/eveTIkcMYIpAevX3w37it/dDzOvDgwQOjUSqlJHfu3Dx+/BidTsf9+/fJlCkTJUuWzLBGuUKhSBi7M0yllJeFEM+BtkKIs8AmtFqlfdGM0u5CiFAp5UBbjnPLli307duXLFmysGLFCq1o/tq1/PTTT+TPn5+xY8eSP39+3NzcEu3lfObMmWQbpQbKli3LrFmz6NWrFyNGjGDJkiVER0ezbt06phUrRu7cudm3bx9z587ls88+M2bhm/OUpiccHBzSZdydq6srRYsWjfN5jCYLepo0acLhw4eZOnUqPj4+HDx4kE2bNlGyZEkiIiKMNfaKFSvGypUrY2wbGRnJsmXLWL58OVFRUWTNmpVatWqRLVs27t+/z/379zl37hwnTpwwblOuXDmmTJmS6DEsWbKELFmy0LdvXx4+fMjtv/7CxdmZvXv3ki9fPmOzifR4fgwYxq+M0rSnVatWhIeHA1qsfv78+cmZMycX9Nn2V69e5a+//iJPnjy2HKYiESZNmpSh5dlKpsLODFOTrPvDQDm0PvdVgV5SyvVCiC1oHtLvbTdKjfLly1OsWDGuX7/OqlWraNKkCRUrVuTgwYPcu3ePw4cP061bt0SN0tQipWT//v1ER0fz1ltvAVrIgaOjI16eniAl48ePx8/PT/3I0hn16tXj8OHDbN68mbZt21K4cGE8PT25cuWKcZ28efNSqVKlGNtdvXqVr7/+mn/++YcKFSrQqFEjChcuHMfIevToEblz52bq1KlcunQpRlZ/fFy5coWjR48yduxYMmfOzMqVK6kYHU3pChVwTSTRSaEAeP/99zl27BigxTLnyZOHZ8+eodPpEELg5uZmjItX2C9Vq1bN0PJsJVNhZ4apSSmorcAAIBD4FNiuXx4ghOgZu56pLShatCj79+9nyZIlTJs2jUOHDtG6dWvmzp3L2rVr2bZtGzly5KBZs2YWG4OUkpkzZ7J+/XratGlDnz592Lx5MwcOHKBfv35kunCBgGfPOH3pEt9//32KSgIpbMdnn31Gvnz56N27N9evX6d///6MGTOGy5cvExgYSOXKlcmdOzehoaHGbVasWMHChQvJkiUL3377LVJKszHKBn766ScuXbrERx99RJcuXRId05IlS8iUKRP9+vUDtJmD6h4eeHp6YrFabYoMxYQJE1i2bBkPHjwgKCiI48e18tNCCFxcXKhSpQoFChSw8SgViWF4uLCW8WZtebaSqbCjzk+mSCmPAB8CnYFd+u5OhmU2N0oNuLi40Lt3b44ePUrlypVZvXo1Q4cOpVKlSrz99tusXLmSx48fW0S2lJI1a9YYjVJDiapZs2ZRtWpVOnToAPo2an5+ftp7/iuxFF82smGd4ODgBNdRWIdmzZqxc+dOoqOjmTRpEvfu3aNmzZo0adIkTuLS7du3mT9/Pu+99x5r1qyhRo0a8e5XSsn27dv5+eef+eijj+jevXuiJXkM3tJ27dqROXNm7t27x7Fjx+IYvoZMdqVjCgOG82w473ny5DEm1xk8+W5ubpQvXz5dx76/TowcOZKRI0dmWHm2kqmwM4+pKVLKHbEL6lsDQ5kYcwQHBxtL75iSJUsW+vTpQ8OGDVm0aBFfffWVsVPE/PnzGT16NAcPHoxXpiFb3xxRUVFxCvNLKVm/fj379++nRYsW9OrVi2fPnjFy5EiyZMnCsGHDiIyMJCAggKDgYIZPnYqjo6OxJqMhWzq+ONOXL18SEhJCZGSk2TjBjOB5TcwgslRsoeHBIDamyXKxKVGiBKNGjWLevHnMnTuX5s2b06BBA6Mhef/+fQ4ePMi2bdtwdHSkatWqnDlzBoCHDx/GyHwGTX927drFiRMnqFmzJnXq1OHWrVsx1omIiDDW0DSwcOFCvLy8aNSoETqdji1btiClJHv27CCl8TsNDw83yoytPxEREYAWU2tOxzKCboHt9MuaJFTCyeBRB617zpkzZ6hTpw558+blxYsXREdHkzt3boQQBAQE4OHhQbly5VIca69QKDIOdmuYQoypfavh5OSk3WjN4O7uHm9CR8OGDfHy8mLAgAHMmjWL0aNHU6tWLQ4dOhTjRm0OnU4Xb7mf0NBQypYta3xvmL7fv38/rVu3ZtGiRYSHh9O2bVsePXrEzp07qVKlCjqdjhv//oubqytdunQxXvCdnJxwcnJK0Cthb/UTM8JN3EBCSUEJJQv179+fbt260b17dzZt2kSpUqUYM2YMAN988w2hoaGcPXuWcuXK4enpaTSMvL29jbHHoOnPDz/8YDRKhwwZYtZTqtPpYujdhQsXOH78OMOGDeOdd97BxcWFrVu3UrZsWTz1DzgGozJr1qyEh4cnWGLJXnQsI+mWPWHQv/Pnz3PixAkcHBzYtWsX7777Lu7u7nz22Wf4+vpSoEABcufOjbu7e4wHZVVQX6F4fVFX5TTGxcWFoUOH0rFjR44cOULx4sUZOHCg0VOUGmLHlA4YMMBolB4+fJi5c+dSpUoVAPbt20dQUBAF/PxieCGSkm2sMpLtEw8PD1atWkWnTp2YMGECa9asMS47e/YsERERvPvuu/FubzBKDdP3zZs3T7IBYOjy9OmnnwJw7949fv/9d1q1ahVnXQcHB7y8vJSOveYYjFInJyd0Oh1OTk4cO3aMR48eUaBAAd5//30KFSqEj49Puq8SolAo0g679pimZ6ZMmcLOnTtxcXHhwYMHnDx5kurVq6dqnz/++GMMoxSga9euHD58mPnz5/Pxxx8b150xYwbTXV3JFU9nH0X6RAjBvHnz+Pfff+nRo4ex5eepU6eMdXFjExkZyblz51i+fDn+/v74+Phw48YNLl26FMNjWahQIbOVJC5fvsyePXsYNmyYsZPZ1q1bkVLSsmVLSCBMRfH6odPp+OOPPzhz5gxOTk44OjpSqVIlTp06hbOzMxcvXiQkJETVKVUoFGZRhqmFyJ49O9OnT+eTTz6hcuXK/PHHH+TLl49ChQqleJ8Gr2vZsmURQiCl5N9//6VixYoxjFJTJBBqw37yirTHxcWFdevW8f7779O6dWs6duyIh4cHDx484N69e+TNm5eoqChu3LjB+fPnmTFjhjGu1cPDwxjbZ0pERATbtm0jV65cxlq3BgzlqRo3bmz87NatW3h6elK8eHGio6NxVLqlQOsm1qlTJ86cOUPRokV58OABUVFRREZGxljPXKy+In0xc+bMDC3PVjIVyjCNw/Pnz9m4caPxfcWKFSlSpEic9QIDA/H396d8+fLx7qtt27YcOnSIZcuWkTlzZg4dOoSPj4/R65RcPv30U86cOcOkSZMoWrQoBQsWpEmTJkyePJmHDx/G6AA0cOBAwlu35uGDBwh9Ekt6LnhuDQzJYZY04k31q1ChQnFqkAIcPnyYYcOGMXfuXCpXrmx2P1mzZmXr1q1Ur16dVatW0aFDB1asWMGCBQsoXLgw9+/fJzw8HFdXV9577z1y5szJmjVrGDZsmHGfN2/epHDhwoBWT3Ly5MksX76cSpUqmW1VGvs7EUIQFhaGS7RWKEOZpvFjDd2yNcePH6dNmzY8fvyY6tWrU7p0aYKCgti6dauxiUhkZCR169alfv36th6uIpUYEnwzqjxbyVSoe0kcDL3MDa+mTZvGedoH6NmzJzVq1IgR52eOGTNmULp0acLCwpBSsm/fPqKjU1bxytnZmYkTJ+Lm5sbw4cMJCQmhadOmSCnZtm1bjHXr1atHpkyZuHPnDm5ubgkmmTx79ixR2UkpM5XeCQsLIygoKN4KCWmBqX41bNgwTjmxyMhIBg0axJUrV2jWrBl//PFHvPsqXLgwmzZtIjAwkJ9//pmPP/6Y/Pnz8++//1KqVCk6duzIoEGDGDRoEI8ePcLT0zPOhdbQoKFXr15cvXoVIQSzZs1K8nl2d3fH0dHRrMfU39+fDz74gGnTpiW6n4yuX9bQLVuydOlS3n//fZydnTl27BhlypRBCIG3tzf/+9//yJYtG1FRUdSvX99s5zNF+mP//v3s378/w8qzlUyF8pjGwbSX+enTp+nZsydr166lU6dO+Pv7I4Tg6tWr7Ny501gm6t69ezRu3DjezPrFixdTo0YNvLy8ePLkCceOHTMmKYFWOufPP/80u+2LFy/YuHGjsY+0s7MzBQoU4M8//6R3797s3r2b4sWLs3HjRlq0aGHcTkqJX4ECXLx0iQ0bNtClS5cYBvGzZ884e/Ysc+fOZc+ePfTo0YPx48cjhCA6OjpObUpDmSnQ6g0ml9QaHNbwMiU1Uzw1iWwG/Xrw4AGNGzdm2bJlDBs2jIsXL6LT6fjpp5/4559/6N+/P5s2baJJkyZMnDiRTp06md1fuXLl+PDDD/npp584evQoXbt2JTo62tir/vHjxxw9epTffvuNEiVKcPr0aeO2ly9fZty4cQQEBODt7Y2joyNSSi5dusTMmTOZN28egPG8BwYG8vz5cyBmqSCDUWo4xzdv3uTYsWMMHDiQwMBA9u3bx927d+nTpw9SSrPhLEkpY5YQidVMTSwRy9JYQ7csQUIloQxVGHQ6nfH7v337NlWqVKFMmTK8++67SCk5deoUL1684IMPPkhVKJPCvpgwYQIAdevWzZDybCVToQzTOHh4eFCxYkUA3nzzTRYvXsx3331Hz549jTcwQ/eb1atXM378eCZOnAjA0KFDze6zTJkyfPfdd3z++edUqFCB8+fP06ZNG7p164YQgvnz58cbczVr1qx4x3r9+nVWrFjBRx99xLRp0wgMDCSnPtkpOjqabNmykcnLiylTptCxY0djdv758+cZO3Yse/bsIXPmzNSuXZtFixah0+kYMWIEbm5ucepJOjk54ezsnGGKX5szRhwcHCyekGGqX/Xr12fp0qWMGzeOyMhIXr58yapVq6hYsSIffPABb731FiNGjGDkyJGUK1cu3mn9efPmUbZsWb7++msaNWoUoyD0jBkz+Oeff3j16hVvvPEGbm5uSCk5d+4cW7ZsMa4XGBgYY5+HDx/m+fPnxjaooJWeMhRFN8SoOjg4gMn/UkqWLl3K1KlTKVy4MGvWrGHhwoVGPe7atStOTk5xvv+Mrl/W0C1rExUVt9eXwUi9dOkS586dY8qUKdy+fZtp06YxYMAA4/eiykEpFIr4UFP5CSCEYPz48fj7+7NixQogZvcbHx8fpk6dSqVKlZg4cWKC0/qtW7emXbt2nD9/nkqVKjF27Fi++OILs2ECBu7fv5/g+LJmzcqECRPIly8fUkp27NgR+wDw8/Pj9u3brFq1ivPnz9OyZUveeecdTpw4wdChQzl16hSrVq2ie/fuLF68mPHjxxMeHh5HVlJKACWFjD5lmxz69+/PgwcP2Lx5MwBr1qwhLCzM2IUpe/bsTJ48maxZsyY6rT948GDat2/PN998Y9RVAxcvXsTNzY0iRYoQGBjIypUrYxil8TFw4MBknafQ0FA6duzIN998Q506dRg/fjx9+/bF09OTJk2aMGvWLObPn2+2gYXSr4yFlJLDhw8zevRoWrduzcCBAzNsbK1CoUhb1JUiERo2bEjlypWZMGEC4eHhLF26FG9vb1q3bg1o09oG47RPnz4J3vAnTJhAnjx5uHnzJp9++ikrV66kXbt2cabvpJT88ssvLFiwIMGxFSpUiIIFCzJhwgSKFCkSJ84UIFu2bFSqVIlBgwbxzjvvcPToUcaNG8epU6cYNGgQ3t7eCCH48ssv6d69OytXruS7775LwTeVNBKLtUvPhoXeg5TkWYgGDRpQtGhRZs2axe3bt9m5cyeNGjWK0SfcYJz6+vrSrFkzLly4YHZfQghmzpxJ7dq16d+/vzHBKioqiitXrlCqVClu3rzJ7NmzuXXrFo0aNUpwbE5OTpw6dYoff/wx3nVMp3kjIiKoXr0669atY8CAATRp0oSuXbvy5MkT1qxZg5eXFx999BELFy5MVK9TQ0bVL0MrT+zkmr106dIEl+t0Otq1a0fRokX54YcflIdUoVAkGbu4yNkzQggmTZrE7du3GTp0KA8fPiQqKgp/f39Au/Hv2bOHu3fvIqU0toI0oNPpOHnyJGPGjOG9997j/v37hIaG0qFDB2bNmsXvv//OkSNHYmwTGRnJpUuXEozvMlCpUiWePHnC+++/z8mTJ9m7d2/sA2DSpEnkypWLcePGce3aNUaOHBmnMoDBOM2bN2/cfaQh7u7uZMqUKd5Yu/ScJKKPv0xyT0UHBwcGDx7MiRMn2LFjBzqdzmzXMVdXV/Lly0dQUBB//fVXvPtzcXFh1apVuLm5sX37dkCLUQ4PD6dQoULcvHmT8PBw3N3dE239afDkX7582Vjt4cSJE8blfn5+hISE8MsvvwBw29+fS5cusW3bNnr16sXhw4eJiIhg+vTp5MqViyNHjjBmzBjc3NzYuXNnUr+iZJNR9SssLIynT59CMvTLUvzxxx/07t07wXWklAQGBrJhw4YMF8KgUCgsi4oxTQJ169Zl6dKldO3alfLly5M1a1b69etHvXr1OH36NA8ePKB06dLMmTPHGCR96tQptmzZws8//8z9+/dxcXGhVq1ajBo1ig8++IBMmTJRsmRJjh8/zoYNG6hcuTI5cuQANAPjs88+4+DBg5w8eTLecb148YL169fTp08fvvjiC+P0fOXKlWMYnu+//z5///13osd58OBB7t27Z1GPaUItOcF+WlWmBH38ZfyxGWbo0aMHmzdvZt++fVSoUMEYY2ooUebv78/XX3/Ns2fPmDlzJu3bt09wfxcvXiQsLIz//e9/MT53dHSkfv36FCpUiIMHD7J169ZEx1auXDm+/PJLYzb/rFmzaN26Nc7OzvTs2ZOlS5fSq1cvaubKxYOHD/m0Z08aNWrE9evXGTx4MEePHqVHjx6AVg9wwYIFhIeHM3ny5OR8Rckio+qXu7u74aElWfqV1rx8+ZK2bduSO3du/v333wTX3blzZ4Ll9BTpm4ULF2ZoebaSqchAHlNh4bmizp07M2rUKC5cuED27Nnx9fXll19+IWvWrEyfPp3FixdTr149hBCsXbuWevXqsWTJEipUqMAPP/zAxYsXWbZsGS1atIjhQRg1ahQuLi5s3749hofU09OTDz/8MMEx3bp1i6pVqzJixAhcXFyYOXMmz549Y+zYsck+Pikl06ZNI3/+/GbbTFqL9NyqUp8JHzcjJAEcHBxYvnw5bm5uvHjxAm9vb7799lvCw8M5evQogwcP5tWrV+zYsYMuXbokur+tW7fi6upKgwYN4iwTQlCiRAl69epFx44dE9yPs7Mzq1atwsvLCyEEQ4YM4c6dO8YQARcXF5YuXcrTp0+N4QXDhw83bp8tWzamT58OaLUAixUrxvLly2nRokWMihTWJr3qlyEGF7BZDIKUkh49evDvv/+ydu3aBNd1cHCgRo0aVhqZwhaUKFGCEiVKZFh5tpKpSKceUyFEYSA7UBT4FXgmpXwlhBAyKfPfKcTQ+WbixIlUrFiRWbNmGbvoPHz4ECEEkZGRfPnll5QqVYrZs2cbS98EBgbGyXw28M4773D48GFOnjyZrB+Bk5MTQ4YM4caNG4BmLLRv354VK1ZocaX68lD62LQYxM6oPXjwIOfPn2fq1KkJxoMlFptniRt+QjIjIiISlJnYlHVKx6PT6Xj16hWurq6pPuY8efLQr18/Jk2axHvvvcdvv/1mLP1VsmRJvvjiC4oWLRpvvdlHjx7h5ubGtm3bWLVqFVWrVuXly5e8fPmSR48eAVp5MFMPV2IewxIlShAZGcm9e/eM70uXLs13331HtWrVcHd3p2jRogwaNIjob78ld65cZMmShaCgIEJCQnBzc6NChQpcvHgR0JpDeHh4GFvpmkPpVtrrVlJI6JJpWmnk/PnzHDhwgOrVqyeaPJfeDH9F8jGE8STmQEmv8mwlU5EODVMhRCtgBFAScAP8gZlCiMVSyrjpvmnIO++8wzvvvEORIkXo2rUr8+fPZ9u2bbi7uxun3Hft2sWDBw8YOnRoDM9oQnFWgwYN4sGDB5w8eZJBgwbFKJnzzjvvxEiG0el0DBs2jOPHjzN27Fjy5MkTY1/du3fn2LFjTJ06lc+LFsXJ2dlY09IUQ9gAaDemOXPm4OfnR8eOHcmcOXPyv5xEsJRRERISghACDw8Pq90MXVxcCAkJISwsDCcnpxTVdY3NuHHjePToEUuXLqVt27asW7eOTz/9lBkzZuDq6kpAQIDZ7SIjI9m+fTvLli3j3r17lCtXjsGDBxtLgxmKmRctWjSOp/Kdd97hvffeQ0rJoUOHmDVrFrdu3WLFihXkypUrjs5+/vnn9OzZk/3791OqVClAM1zCN28me/bsROgfaAoWLBijFunGjRs5efIkkyZNMpbKSmvSuk6poVOTq6srr169slrHJkvoVmowGO6XLl3iwIED+Pn58dZbbxmvQ1OmTOHs2bO0a9cOf39/fvrpJ2NinUp4ytgYQr6sZbRZW56tZCrS2VS+EKIFsBI4B/QC6gHPgC+Bavp1kn01FEL0EEKcFkKcfvLkSaLrd+7cmaVLl3LgwAE++ugjYyJFZGQky5Yto3Tp0rz77rtJlu/o6MjQoUN58uRJglnQACtWrOC3336jf//+Zr2rzs7OjBkzhhcvXnDz5s0kyd+9ezenT5+me/fuvHz5Mt0khoSFhREQEMDTp0+NY7ZW1nViSTamJFW/pk6dSrFixThy5Ah37txJsL5tZGQka9asoVq1akycOJFs2bKxaNEiNm7cGG+jB3P8/fffTJo0iZEjR3Lt2jVmzJgRbxu+999/n7Jly7JgwQJjcpSLiwu5cufGydl8Tk5QUBDDhg3jzTffpF69esYC/faOoeD/8+fPjYYiWEe/LKFbqeHChQvs3bsXFxcXwsPDefXqFaA90M6aNYuqVasSGhrKvn37Eq32oFAoFImRbjymQoiSwChgLfCVlPK2/vPawBWgO7AvJVP5UspFwCKASpUqJWn7zp07A1rB8I8++ohRo0axZ88eo7c0ufZxuXLlaNy4MStXrkSn01G8eHFAm4L18fEBtH7mixYt4oMPPqB169bcuXPH7L5KlChBp06dePzjj2TPnp2EfC5SSiZMmICfnx/dunXD2dk5STdEe+j97e7uTrZs2RBCGMds2qEqoSSY1JJYko0pSdUvT09PVq5cyXvvvUe/fv1Yt26d2e92w4YNTJs2jTt37lChQgUGDRpEw4YNk6xzkZGRHDp0iN9//507d+7g7OxM3bp1+fjjj3n77bfj3U4IwWeffRajG1piTJo0ifv377N69Wpy585tLNCfEPaiW1FRUTE8ppD6DmhJwRK6lVLOnTvHr7/+iouLC9HR0Tx9+pSNGzfSuHFjjh49yo0bN/jwww9ZunSp8TqlUCgUqSHdGKbAe0AxYIyJUeoipQwSQuwFqgkhsgIvLBlnakrnzp0RQtClSxdevnyJp6cnQogUl0fp1q0bO3bsYPXq1fGuU7RoUYYPH56gESKlNGblP3n6lPwJrDd06FBOnz7NokWLkmQ0GDCU3QHLGoAJYS6RJb1mXRuoUKECX3/9NcOHD6du3bosXLgwhgf05cuXDBkyhMjISLJly0bLli0pXrx4vPpg+NzUw3fu3DnWrVuHn58f48aNo1GjRmTJkiXRsUVERBhb5x4+fDhRw3TFihXMmDGDLl26ULVq1UT3b8BedMtgGJuGwqR3/UoOUkpOnjyJg4MDERERxgz7CxcusGnTJsLCwpg5cyafffaZmrZXKBRpRnoyTO8A+6WUxvZGUkpDZfqzQCvAXUpp1bnCTz75BIAuXbrwxhtvkCdPHj7//HNmz55N2bJlk7Wve/fuIaXE09OTRYsW4ezszP3792PEkebOndsYP2iO4OBgJk2axMGDB+mSNSuFCxc2W1/GYJTOmTOHzz77LEneL1Ps9QadHG+TvTJgwAB8fX0ZPHgwlStX5quvvuLjjz/GwcGBzJkzc+jQIX7++Wd++eUXRo8ejRCCt956iwYNGvDBBx8Y29LCfwk6pk0cDB6//v37GxP6EuPy5csMHz6cq1ev0qRJE6ZOnZrg+itWrKBHjx7Url2bGTNmJOv47VW3IGPoV1IRQtCwYUO2bt2Ki4uLsfqCi4sLoaGhNG/enP79+9t4lAqFIqORbgxTKeUeIcQJ0OJIY3lFnwMeQIzHdsN6ls7W/+STT7hx4wYTJkzgjTfeAKBPnz4UL16cQoUKUahQIcqXL0/RokXJlStXvN6Fs2fPAprh8OjRI6OXyTT5KSGuXLnCqFGjePjwIX379qXM+fMgRBzDNLZRmlgmvjlepxu0tRFC0KFDB2rVqkXfvn0ZOnQoGzduZMaMGRQuXJgiRYowaNAgBg0axLVr11i9ejW//vorEyZMYOLEiYwbN4527doBGGNUTdvMGmIETaeiV69ezXfffWfM0JZSxtCJsLAwsmfPzvz586lTpw7ZsmWLd/xr1qyhf//+1K5dm82bNyfbwFS6ZT/4+fnRsGFDdu3aZXzIiYqKomnTphQuXNjGo1PYkpUrV2ZoebaSqUhHhimAlPKl/m9sI/Ou/q8PcA9ACFEMbXp/q5TyhaXHZihobjBOq1Spgr+/P7/99pux5ASAl5cXpUqV4uuvv6ZQoUIx9nH27FmKFCnCo0ePOHDgQJKnP4ODg1m3bh3Lly8na9aszJ8/X5t200+7miKlZOTIkcyfPz/FRqnCOuTNm5effvqJVatWMWjQIOrUqcOIESPo1q2bMXyhePHidOvWjcGDB3Pjxg1GjRrFvHnzaNmyJc7OzkZjwmCMwn9Gqqk3dcGCBeTNm5dq1aoB2sORqXHo5eVFhw4dEp3yX716daqMUoX9EBERQVhYGPnz56dBgwbGjl3NmzfHz8/PxqNT2Jr8+eMLEssY8mwlU5HODNMEMKSROwEIIUoBM9DqnO4BXlh6AKalpLp06YKPjw9btmyhQIECPH36lD/++IO///6bq1evsm7dOubMmcOaNWsAbZr0wYMHXLx4kcaNGxMYGMivv/5K9+7dcXd3j/cm4O3tzfr165k1axYvXrygefPmzJkzRyvdY1KD0eAZM3hK58+fz+eff853331n1ig11FI0h06nizchJaFM5YS2g5SX+0koASWh40hsvwlhiYSchGpifvrpp3zwwQf06tWLcePGsXfvXr744gvq1auHi4sLWbJkwcHBgYIFCxIREUHTpk05d+4crVu3JiQkBGdnZ549e8b9+/cBLaHOUJaoYMGCrF+/nidPnvDDDz/QsGFDQDNKklqn0/B9bNiwgb59+1K7dm1+/vlns0ZpQuckNXVDU1oD9XXQLUj4+/n777/jXAeklPz777+ULVuW3LlzU7VqVWMJMNMHFvVQ+/qyfv16ANq0aZMh5dlKpsLOy0Ulo/ST4Tgc9MX3p6IlS7WSUj6wyODi4ZNPPmHZsmUcOXKEokWL0rt3b0JDQ6lWrRrdunVj6tSpfPbZZ+zYscOYSALaNHxkZCTly5fnvffeIyQkhPPnz5uVERgYyPTp03n33Xf58ssvqV69OidPnmTt2rVme61D3On7+IxShX2SN29etm3bxo8//siVK1do0qQJuXLlonPnzuzatcsYQ1q/fn2KFCnCvHnzjNu6uLjE8JjGNjrnzZtHkSJFqF+/forH9+jhQ2NM6aZNm5SnNB0jpeTly5cEBgbi4OBAjhw58PHxwdPTU4VYKIwsWLCABQsWZFh5tpKpsDOPqRDCDfAEoqWUL/TxoY5SyuhENjW0VKoF1ABqAtWklHHnsq1Ap06dqFmzJlOmTGHx4sUsWbKEjh07MnjwYPLly0fPnj2ZO3cu33zzjdFr+tdff+Hg4EDp0qVxdXXF09OT3377jbfeesu436CgIH744QcWLVrEy5cvqV+/Pl999RUVKlRASsnevXuN9SWjoqKoqe8U9NuOHaxdu5aNGzfSr18/NX2fThFC0KlTJ9q2bcv+/fvZsGED27ZtY+XKlWTOnJkPP/yQ5s2b07NnT4YNG8aZM2cALc7UNPnp1atXRsP09OnTnDx5ku+++479+/fH0B/TbPSsWbPG+9CT9f59rv/zD7Xr1GHz5s02LwqvSDk6nY4nT57w4sULnJycKFKkCJUrVzbbpEOhUCgsgd1cbYQQjdFqkb4NPBRC7JZSjkiCUQraVH0oMAjIBLxnK6PUQIECBZg/fz7Dhw83GqibNm1iy5YtVK5cmX79+jFx4kQOHDiAEAJ/f3+8vLxwcnJCp9Ph4+MTw6MK8OWXX7J69WoKFy7Mxo0bKV26NL6+vgC8/fbbxqxZA4f0f5s3bw5A7dq1+fLLL5VRms5xcXGhUaNGvP/++3z11VecOnWK7du3G1uSDh48GE9PT3788Ufy58+Pq6urMRMfMLYMBYxxg4sWLeLq1aspGs8hIGuWLMaYUitVa1NYgJcvX3L79m2klPj4+ODr62uR1qsKhUIRH3ZhmAohOgBzgT+A1cA7QB8hxCMp5cxEthWAO1pWvhPwlpTykmVHnHQMBmqPHj1o0aIFzZo146effqJfv35s2bKFHj168M0339CwYUOOHz/OnDlzePHiBXfu3GHgwIEx9tW9e3fOnTvH5cuXWbhwIePHjzcaptu2baN///5Gj5dOpyPbH38AUOuNNzh06BBvv/12jHanyUWn0xEaGppm7T+tWUjdHoq2pzXu7u74+PjQuHFjmjZtSkREBG+//TaXLl2iatWqnDhxgvz581OgQAHOnTtHVFSUMXbQ0Bq0RYsWTJs2jTx58lC8eHGioqKAuDHBu3btAmDy5MkxypfpdDpKfvMN2X180KVw+t5wbhwdHdOdXtlCXlqj0+kICgrC2dmZ8PBw3N3d8fb2xtfXN97OYwqFQmEpbG6YCiEaAbOA5cBsKeUNIUQW4BpQPta6cab19Rn6/wghPgJu2pNRakrhwoXZvn07jRs3plmzZuzcuZPly5dTs2ZNpk+fzuTJk2ndurUx2HrgwIHUqVMnRtJC1qxZWb58OWvXrmX27NkcPXqU+fPn8+GHH5I7d242btxoXDciIgIPfaWA3bt3U7t2bX755Re+/PLLFB9DWFgYwcHBCCHSJNbMtJB6SpsSpERWRomTM5RVMkzTu7i4UL58eU6cOEGHDh2YPHkyTZo0oVixYpw8eRJ/f39A6/xk6CxWpkwZJk+ezKBBg5g0aRKff/45Tk5OceJQ//77b6pWrcquXbvYtWtXjKldJ30b3ZQ26TScG3d39zSZMrb2uU7vuhUUFMT9+/dxcXHB09OTXLly4ePjg4ODg5pdUSgUVsemj/dCiOxAN+AMME9vlDoAEs0wdRdClBZClAaQUkbrlyOEKCqEaGfYl5TyF3s1Sg3kzZuX7du3kylTJjp16kTu3LmZPn06ly5dYs2aNbRv357vvvuOiRMnUrdu3RjbXrlyhdq1a1OnTh0qVqzIzp078fHxoWXLlnTp0oWAgIAEZbdo0YJLly5x9uzZBDPuE+oD7u7ujpeXV7zZ1sHBwQQFBSW5j3hyeoKnFmvKsiWlS5fm9u3blCtXDp1Ox/379ylcuDCOjo5cv36da9eu4eTkFKNUWZ8+fWjYsCEjR44kT548tGrVyji1b5iWL1WqFHPmzOHIkSNMmDAhplApiY6OTpVeZcqUyax3zqBXwcHBdqlXtpCXloSFhfHw4UNcXV3Jli2bMZY4PXp+FdZl06ZNbNq0KcPKs5VMhe09psHACeBfKeU1ACmlTm9wVkXr9jQbKC+EuAo0k1I+FUJ4AcOBrkKInIlN99sTefPmZenSpfzvf/+jf//+/Pjjj6xbt47169dTpEgRY4F+Q0ygoRbqvHnzcHR0JFOmTHTs2JFGjRoxaNAgzp07x6JFi9i3bx9ffvkltWvXBrTkleLRmnM5ODiYDz74ACEE69ato0CBAuTKlSvO2AyeH51OF6/nx83NzexNKywsjICAAGNh9tghAxERETg6OsbZztCDOzGjI7Vxbhm5aLvpd1eyZEkA4/d/7do1vLy8yJMnD5cvXwYgT548PH/+nNDQUA4fPgxA3759qVixImfPnuXkyZNs27YN0DqNvfvuu9SqVYu6devSvHlzpkyZQtWqVY0PT9E6HbroaON0duwYU1OPYnxTw+7u7jEStEy3ffr0KUIInJ2d4z2HhhAWAwa9io6OJiIiIsEp6ddBt37++Wfj/6ZhGg8ePCAwMJCiRYuSNWtW5SFVJJn4kiEzijxbyVTY2DCVUoYLIeZIKQ11SBFCtADmo03vrweuAl2BL4AdQogqUspgIcQWoCSwzwZDTzaG3vWglfSZOHEiw4cPp169eixZsoRGjRrx/fffs3///hhG44EDB1i1ahUODg506dIFb29vtm7dyo4dO/j3339ZtmwZ9erVY/jw4fTp04cmTZowatQoPD09jTcZJycn8ufPT5UqVdi3bx/jxo0za1watonP+ATtJhzftgYDyVwMakqmBU1j91JCRvL6JLXepqGf+ZMnTyhcuDBSSho0aEBYWBiLFy8GoGXLljRo0ICbN28aDTohBFWrVjU2dbh16xbPnj3j2LFjHDhwgC1btjBu3DjGjh3LX3/9RdeuXTl79qxRVw0PTYZxmo7XoFeJxTeb0zsnJyccHR2RUiaoBwnpVuxlaRETmt50yxA7fPHiRb777jtatGhBtWrViIyM5NWrV1SsWFF1clIki2XLlgHQuXPnDCkvtkw/P794rzN+fn7GUClF6rH51dVglJrULM0GDADGSSlPSCmfA4uABUBloKV+u51APXufvo+PoUOH0rBhQwYMGMCNGzdYtGgRoaGh9OnTx3gTuXLlCitXrsTBwYFPP/2U7Nmz4+LiQqtWrWjYsCEXL16kTZs2eHh4sGnTJvr27cvOnTtp3Lgxv/76axyZzZo14/Lly1y8eNHsmBwcHPDy8krRTdfBwYFMmTLFME5SS1hYGCEhIYSFhSW+sgKAIkWK4OrqyuXLl3n77be5du0aAJUqVTKuY/p/fOTMmZO2bdsye/Zsjh8/To0aNZg0aRK3bt1i1qxZhISE0KFDB4KCgojW6UCIBB9mUqNX3t7eSq/SgNu3bzN16lTCw8NZuXIlu3btIiQkhBw5ciS57bFCYWDZsmVGwy0jyost09/fHyml2dft27etOq6Mjs0NUwOGNqNSyh+A+VLKQAAhhLOUMggtOQogs8k26fbO4uDgwIoVK/D19aVbt254eXkxZcoUjh8/zrBhwwgPD6dt27ZERETQtWvXGFMKQghjwf6bN2/Spk0boqKi6N+/Pxs3biRbtmz069ePe/fuxZDZpEkThBAsWrQo2SV9EosTTCkJ7dfd3R0PDw+klGkuN6Pi6OhIyZIlOXDgAG+++SZPnz7l0qVL5MuXz7hO3rx5k73Pb775hmzZsvH555+TM2dO5s+fz+HDh5k2bRqOjo44ptBoVHplHaSUTJ06FYDvvvuO/Pnzs2PHDqKiosiWLZuqU6pQKOwGuzFMTZFSRgEIIRyklIbgsfporUev2WxgaUz27NnZsmULAQEBtGzZkvfee48BAwawdu1aOnTowHvvvUdUVBQHDx6ME0N3//59tm/fjk6no3bt2sZpztKlS7Np0yaqVavGnX//NXpfQYsX7NevH6tWrWLgwIHJMk4NcYIp8TIZpk7NGQEJea8M0/+hoaGEhoYmW+7rytChQ/nzzz/ZsWMHuXLlYty4cVy9epXt27ezffv2FMURZsuWjRkzZnDv3j1Gjx5Nhw4d6NKlC5MnTybw5UtIYWxiavUqPuMzqXr1unhNhRCULFmSsLAwZs6cyb179yhUqBCFCxdOd2EJCoUiY2O3j8l6o1Sn/78C0Aq4BPxty3GlNW+//TZr166lXbt2tGzZkk2bNlG4cGGGDBlC7ty5qVKlCidPniQgIID27dvj4eHB4cOHOXz4MJ6ensyfP586derE2KeLiwuff/45Ub//zoP79/ExWfb1118TFRXFrFmzAJgxY0aSDBWD4ZuSeE+DkWDY3jS+L7H9Gj5PTf3V14127drx6tUrunXrRunSpRFCMHr0aCZMmGBMjkoJb731FgMHDmTatGl8//33zJ49m1OnTvH3lSu8VbEiKUkhSq1eGZKqnJ2d49Ur04eztJCb3tDpdERERNC2bVtevHjBhQsXKFKkCCNHjlR1ShUKhd1ht4apiVHaGugBvAlUl1I+senALEClSpViGKcbN25k8+bNdOnShXPnzlGzZk1+//13vv32WxwcHNDpdLzxxhu0bNnSaJSGhIRw//59ihUrBmie0+hs2bh37x5OL1+SObMWASGEYPLkybi4uCTLOE1N5rHBODAYpQYj1dPTM9H9GpYrr07yMCQIGIxTgNGjR/PVV18Z36eETz/9lD/++INBgwZRpUoV1q9fT8Abb/Dnn3+S++7dGCEDSSG1emX4GxQUlCK9eh0IDg7m5cuXRERE0KlTJxwdHcmaNat62FMoFHaJ3RqmQghnYCFQAwhBM0rNZ+1kAEyN0/r16zN37twYiUxVq1bF39+f8PBw6tWrR8mSJYmMjDS2If3mm284d+4ckydPplChQjg7O1MtTx4CAgKYMWMGn332WQx5X375JREREcyaNYuIiAgmT55sNE51Oh1eXl5xxqjT6QgPD483kSV2uIHpdpGRkbi7u79Wnipb07lzZy5cuMDs2bMpXbo0UkqGDx9O69atad26tbHElzmCgoK4efOm2WW9e/fm+vXrtGzZkr1791K6VCkuX75MzZo12bRpE3ny5CFHjhxmt42KioqhOwadMlQWiC/WMfZ2hm0NcaJKrzQPsmlbYp1OR2BgIGFhYURERODk5ESWLFnw8PBQZaEUqcbQzjijyrOVTIUdG6ZSykghxHfAaWCblPKurcdkKQwldxo3bsypU6do3bo1H3/8MSNHjuSPP/6gT58+7Nixgy5duvDtt98a6y4ePHgQFxcX/vnnH06fPg3AggULmDFjBo6OjnhnykS2rFlZunQpvXr1ilGyyuA5NWxz8+ZNpkyZQsGCBRHxZFgbOj8ZsqxjI4QwW4onPDyciIgIoqKi8PLyilHeSJF6EvImT58+nfLly9OtWzdq1KhBzZo1Wbt2LZcvX2b8+PHxek+vX79O1qxZzS7LmjUrCxYsoHnz5gwZMoQNmTJRunRpnvj707JlSzZs2ECOHDnM6kLscmOm3cTiMyoNxmvsMmSm22bKlClevXpde70HBARw4cIF3N3dqVixIkWLFiVXrlxq9kGRJljb424LD7+aVbANdn2F0peCWpCRjdLYlCpVipMnT9K1a1cmTpzIxx9/zNSpUxk4cCA//vgjH374ITdu3IixzZo1a/Dy8mLw4MHcunWLDRs2GJfly5+fly9fGmtYmmIwTqdMmcKRI0eoWbMmK1asiDcpytDhJqEfq7mkE3d3dzw9PdWP3EZ07tyZxYsXc+TIEW7fvs38+fN59OgRrVq1Yvbs2WYL2yfG22+/zYgRI9i2bRuPHj4kU6ZMrF27lidPntC6dWvu3r2bpMSmpHRNMhigsfeTnjsuWYOXL18akwYLFy6sjFJFmjJ//nzmz5+fYeWllUyDs8fcq2DBgna3X0uMJ7nY/VVKJreuUQbAw8ODxYsXs2LFCs6dO0eNGjXo0qULS5Ys4e+//6ZatWrGjj23bt3i5MmTNGvWjNq1a1OrVi3Wr1/PnTt3APDy9KR+/frGOqmxEULQu3dvfv/9d0qXLs3nn39Ov379zI4rKfGeBiPU1FhQcaK2p3PnzqxZs4bLly8zePBg5s2bR6NGjZg3b56xLFly6d27N3Xq1OGWvz9hYWHGcJQnT55Qt25dY23bhAzHpOqUuVa4Sq/iR6fTkSVLFkqWLEnZsmXJkyeP+p4UacqGDRtiOEEymry0knn79m2L1D+11H4tMZ7koq5UdkzHjh3ZtGkTT58+5dSpU7Rs2ZITJ04QHR3N3r17AYwKWK1aNQBatWpFdHR0DK/q//73P16+fMmDBw/ilVWkSBF27NhB06ZNY7QvTC7KWLBfWrduzV9//UV0dDS//fYb3377LQMHDuTSpUtxat4mBQcHB0aPHo2UkmB94lGlSpUYM2YM169f586dO2miCw4ODma7iSniIqUkPDycp0+fGovnp2VzAoVCobA06mpl5+TMmTPG+zx58piNmTPceMwlj5jrUW8OR0fHZGdVK9IXefPmjaE/yS22HxtnZ+c4n5mLP1ZYh8DAQJ48eUJ0dDQeHh7qXCgUVsDQrtTcy8/PL0Xb2WpK3h6w2+QnhUKhUCSdqKgoY7iOh4cH3t7eKvteobAC/v7+Ftnudf39KsNUoVAoMgDR0dE4ODjg6+uLq6vra3tTUygU6RvxGuYWJYgQ4gkQO3I4O/DUBsNJiVwHQKf/6whE69/HXm4J2WmBreSmlWw/KaVvfAvj0S9Ljym5GGSmlS4lV641SW8y49UvIcRzIAh4nNKBpYLX7XqREeUmpFvJvW6lFlveB2KjxhI/SR1PgvfF2CjDNAkIIU5LKSu9LnJtKft1POaEsMWYXqdzn9Fkvk7nTsnNuNjTcaqxxI+lxqOSnxQKhUKhUCgUdoEyTBUKhUKhUCgUdoEyTJPGotdMri1lv47HnBC2GNPrdO4zmszX6dwpuRkXezpONZb4sch4VIypQqFQKBQKhcIuUB5ThUKhUCgUCoVdoAxThUKhUCgUCoVdoAxThV0iVHVwhZVQuqZQKBT2gzJMk4Etb2BCiKQ1vM84uAIIIaymo/ZsoNhqbK+J3llV1yx1Lq35W1EoXkfs+R6RkVAXsiQghMgJIKWU1lZMIURFvexoK8stI4QoLYRwtqZcvey2wEEhRDYpZVp2FkoQqc8ENNzg7eFGbyvds4Xe2ULnbKFraaVnQojCQoh3hBBNhRCOUkqdLR4kTPVS3bitgz1cm6yJjZ1CuYQQ+YUQuQEXW45Jf41sKoT4RAjxtrXlxzOeNL9mv1bKnRKEEK2AjUKIRmBdA0EI0QU4LYRoaA15JnLbAL8AA4B8Vpb9CbAGqAJU1X9mcT0VQrwvhPhaCLEOGCOEyKG/0dvygmgT3bOF3tlC52yha2mlZ/rvayuwH9gCHNMbp1Z9gIX/DG3T/zOygSqEKGCjB4Dq+vOONR/YrY3+gettIcTHQog8QghXWziF9GNpBxwETpHWtgAAFodJREFULgH+wCYhxMcQU++tNJa2wE5gFfAj2r2hiTXHEGs8lrtmSynVy8wLEEBe4BlaP/BdQF3T5RaW31kv9zsgjxWPuw0QDvwAfGDl79xwzMuBe8DPVpLbHggAbgIPgChgLeBmzeM3GY/NdM8WemcLnbOFrqWVngEtgFBgJdAFGAMEA19b47uLNZaawFfAPGAQkBNw0i+zpJ6+AbQDxgKdrHi8Br35BHCwotwOej29ClS29nm24nG2As7q9Vun/630BzxsMJYPgVfAUqAbMBT4Sz+uSVY+/82AQOB7oB7QBM1Qnmej82TRa7ZNlC89vYD1wD96ZTwF1DFZZpELr8nFbzqQP4H10lS+/qZyHFgMFDT53BNwBhz17x0tfMyFgKn6960tfH7r6o2FqUA5/WfzgDuAr6XPtT3pni30zhY6ZwtdSys9Q3tgOau/WfrpP3MBTgPfWeo8xTOWDkAIcEWvp1HADWA44KVfJ81v3mgG6V20B7cI/blbD7ha+riB7Xp5QUA3S36/JjI/QjMCZgJvm1lu9WuThY6zhf44lwCdgDrAH8BzoJ61jtUgA1gN/AbkM1lWHpgNRKMVl3e3wngyo3ltt8a6Rq7Sf+ZgbvwWHE9Sr9kp/u3bXBnt9WX4UoGvgbnAe/oL0kksaCCgPQnpgClALpPPWwGfASOAtwDP1J58M7JLoT2VtTX5bCqwV/8DXQAUssB33ZX/vHS59Z9V0N/0frTE92wiexpwDihpcs7ro938cwIeJjc8qzwh20L3bKV31tY5W+laWukZUALNm9RV/95wE1gNzAImACOBnBbW0RJoXt95aMa9B1AGOIpmMK4AMltIT1/q5b6rlz0KiCSWYZ7Gx2swVsboz9mPepkWM07RZk7cgZ+BDUARk2U50BsFJmNLtwaq/ndh+F79TD7PhOYp3mDFsQjAEe1hb73+M0eT5bmB0frzP9sK48mL9lA7Sv/eRf/3B71ubATmAB+bHoMFx2Pxa7bNFdLeX2jxZy+AbEAD/jMQTKdW02SaQX9x/04vY5XJ5z8BYfofQrReSecC2fXL00QJ0Qyge0AW/ft9aDfsQ/of6SvgKVBdvzxVXiz9BSAP8BjNG5A71vKpaF6YahY6t45oT6J/xPp8rP6H9w/adMk+oKh+mTWnb6yie7bUO2vpnC11LS31DCirP0/9DeuhTTPqgL/Rpj6DgNvA/9LqPJkZR239eXo/1ueuaB6vp2heTO801JX8wGG0G3Fhk89zApv032F2SxyviazqaB68tvrjiwA+NadvaSTPA82r/pnJZ0v0x6pDexD4jP8eGNOlcarX4SCDzuo/MxhgPwLXgKzWPD40j+QN/nvAMjVOc6BN5+uAARYeRy7gOlp8qSvaw8qnetl/ohmEBn0YZ4XvJbnX7GTfM22ukPb8QruZ5dffOJroP2usV4ATwP/QPAOdAOc0kukHTNbLmIXmCXkE9APeBsqhTScFoT0xZUrD482N5o0YgGYIPUCLZ3HWL28BnEEzUIqlodziQA7T713/tx6aYbQ2LY/TRI4j2nRuMNADzeMzSH+z2Qz0QZu2uas/5qKm48tIumcrvbO2ztlC19JSz9BuTJv052kf2s3K4On208t6HziGdrPKZQmd1cvQoZ9i1X9miC11QfOaPEXzFKdJrDb/zRx0N3P+OuiXlUnL44wl3wHNe3VBf/x50BLPItB7TtGmMr3SUGYm4D7QTv/+Z7SH1e/RvOMX0YyC7/kvfCLdGadoswc/xbPsM/1vx1ox7wad+gTN+z8eM7MZQGG05J8b6MNzLKh3c/TfwW20hzMd2vW6gH6dcmgGvA4Tz6mFxmPxa7bNFTI9vNCmUTbx37TZB3oFeKL/20j/eVo9JecFvtVf8J6hBWG7mBlTWFrJRjOE3NBuzHvQYtguAT6x1musH9MmUmkQJWXMaAkeT9FPDZDGHku06cDzaB7BB/rz+QN6r6B+nRZoXpL9WDkI35q6Z229s6bO2VrX0lLP0AyiGWgG0p9oCRmm07yu+nOnA6ZaSC9LoN2c5mISZ2eipy7ANr2e1k0LHQUKAJ/zn+EgTP6vrf9uq6b1uTMzju3oZxbQPNib9L+Z3sBu/SstHhYd0OL2jgAL0by1D9DCa0wfAjaiGS3DsED8v7VexBP6wX8PHXljfW7REAb9d3sQbZaljcl3bmqcGkKgmlpoDMJkLKPRHoQO6X/3ZYjpxX1T/5v80TBWS4wHK1yzba6M9vziv1iwEcCZWMuO6S+EV4EGFpCdH81ImGV60k1+HDnRnpzTNMYF7Qnolf51yORzZ5P/t6BNrXha8Ls33ODeRfMILLegrPJAT7Sp1T3oswxj/ehXAw8xCYTPiLpnC72ztc5ZS9fSUs/QjBZvoAYwI/Z3huZpe4YFs3aBiWgG2Uf694abqOH7zKw/lrVpKDNrPJ+X0utPs1ifp8lMluE71/8dAZww+bwEWthLFNqMQjvS0DBA8xhGonndjUYA/3nxnNHiM88R60EyI7zQKj/ogPImnxVDS2LMYiGZBh3Oor/u3ACam/y+XE3WfQpMtODxG8Zi+H2VRAszcNO/dzFZ9yrag5OlE6Ases1WdUwTQP5XK24TUEgIUUMI4SaE+BntYvQNUBCYKYR4P41l30EL8J8ipXxmsshQpzACTSkyp7Hc3UAvtIvd+0KIXvrPI01We6T/a7FafvK/eoyX0AKqGwohKkPa10iUUl6QUi6UUn6FNv1ZUL/ItL5kENqNx1pF2G2ie7bQO1vrnLV0LS31TEqpk1IGop2LfkKIevrPI/X7eheQwL+pPQ4hRFUhRGmT94b7xvdo04orhRBVpf5uJKWM1teefAksA6oKIfKloFZrDLn6fT+PZ3WDrmQx2b4sMEQIUTS1cvWyDedkC1DS5Hfnj/aQEI3mTcokpYxKjkxzck2+56VoxsYANAO8pH48r4QQbvrfyUy0EloVkys3HRCm/+sEIIQohTa1PRot3jJVmKtJq9dhRynlCzTvn0R7WO8uhHCXUr7Sb1uN/8papZoExiIMvy+0a3BV4FMhhIeUMkII4SiEqI4Wh3sRzbNpMSx+zbakVZ2eXsTzhIF2gn3QnkT6ohXkfg600S//H1osRYqz0OKTndB6aD+Wx+gDr5O6j4Tkxtp/d7QfXADQw+TzN9Cezrdh8tRoiWPmvyfEd9DKiKS6TmMC59kR7abyC1oweRmTZRXQpk13YhmPnU10zxZ6Zwuds4WuWUvP0AyxP9Gme2vrP6sD7ECLTSyYyuNoyX/xrMXNLK+pPzcvDfJjLZ8G3EKfBJVWcs2s74fmye+pf19W/x3oMMnyToPjFWizBteBDvrPftb/LgeihbrogI5p/D3XRgsR0AHz0ccWmiwfrv/dJPlYbf1KxvXnXf1xV0KL69yOFrrwZirlv2nyf4IhEGhhTuf1OrZTfz566MfyIA1+Z8kZizNaEqw/2sNKFqCp/pryCH2MeirHk1BlEMtfs22tnLZ6oU11+RLTJR/vDwXtCU2nvwC1JGZcVbKMleTKNqMMVdBuajdjX6DS+JhboRkhOv2P8Se9sgUApS19zIZ10LxzG9GeFCta+Dy31h/vEbQnwmHAr2jTNck6ZnvTPVvonS10zha6Zks9Q0tOe47msXuEFtf5DyZTnynU0wpomf530W7Iv2LeaKoH/I5mLPTnv+StimgxentIRkJQUuXG2sYXLVN4NFoJqV1oxnIFS8hFi/ncj2b8vkSLD3ZG82guA0pZ4HtuqJcZgea9q6j/vJr+81NAttScc0u+0B7IfDCZficJMbFosZQ6tAL3v+j17I1UjqWpfp9LEhsL/4VwuKI9aF3iP2PszzT4naVkLAX0OqNDm2F5iVZPONVJWGgG98SknBv9+mlmJxj3aWtltcVL/0UeQot/Oo1WfsM3kW2qoE2XtOK/2I5kB1+nRLbJtt7Al2g3s8fJ+UGkVC5a7crxaE+L59CCnpN80U3tMZvso5f+gpTkGM9UHHMvNK+Z4eLze0p/YPaie7bQO1vonC10zR70DG169zs0j90wUu/BcUO7CevQStM0QTOaD2HeaKrAf1nB/6LdsK/rtylrKbkm2/mgea5W6V/JMl6SKpf/DIPeJsfaipgPi0mO80zB9/wmWmF3HZox8g+aQf4YC2aGp/aFNtPys/4cnQMmJ2PbvPrz+UD/t0Iqx+KClnhomIJfbLIsPoPQWDQerYTXu0ARTJIXrTgWw7XfC62G7wS0CgKpzn/Q70eHFs6VnIfJVNsJMfZna4W19gvtyTZC/yP5Gi1e6AmaW7wVCZSK0V/8UhxcnhrZ+u1r65XmEFDSknKJfyoyWckEaXDMph67HFaUWxYtwPtN0sgLYSvds4Xe2ULnbKFr9qhnaaSrAs1zMkf/3gmtdmeCRiJa68TpaLHRE+NbzwJyvfnPg/ScZE7zpkQumne2GXqjND79tdDxNkErF7Qareh/qqdvLahLHdA8wfvQjPCj6MsNJfH7Kao/r+GkUTkwtCnoYLSp5qfA9ybL4vUUJrTM2mOxwDg667/nacTT+S+2jsen86S2Yo+1DtrWL72CZ9L/OLagr4mG5p6vijZ98hKtbmPmBPaT/GKxaSRbv01JkviUlobHbJr1l+S4xDSS7ZhUmWn9Xad33bOF3tlC52yha/aoZxbQW2dMssvRvHutSdxoipFFbA25+vOxGS15LKVe5yTJ5f/t3W+MXUUZx/HvU10o1lYpFRQlQcDQUIj/oohRlBd9Ufzzpkg0SohajTWKGBV9Ywz+eSXGYAKWBEHBxMaoUdP4r8asiRrSlBiglogNBsVAq7SFWosQ9/HFM9edvexFuvecmbl3f5/kZLvn7naeuXfO2Tlz5jyzMItCF2nalvo+N5+vFLiUyA5xPSmlGTEn8gBwy2LtZsT/8zY6zFFL5P38NXE36vZ0rG5jfjRyeJnPFzOfBaHTVExjxjLIEjBuKrYrialAXyFLy0U8THUmWS7iUfVnCf2EkfHUaKy1tvRHYx/pioSFIyTrmJ+/8t6hN/kcxkxaO2bZ75q0cpdrnVtrezXeC5VZr531vfHUTtP67LU+k4w/Xbkbsve103Ruz6TcaXqfO67DOuKi7RfMd+pXEPO4f0Pc7j2P7EKC+akSvR4j6dj9K7G4xWpgOzHSflP2M69MX9cSKfoOk03ZmJZYiDnZ/yGmhFyU7b+BePB2jnjS//rstUH6wF4+p+qNt+SWPvR7gO3p+xUsTJb7PGKi/sOkeSzEPI6bGXPpsVplq85l69xaTDXKVZn12lmJjflO0yPEw03nEJkAfk82R65guXeR3f5cBvXttdyO47+GbE31tP9Dqf0/QDy0dYC4vT9Y6rjvc/FgRP8GUs5iYjWj7cRc728QU3O+S2RgWEncZn+cMedutxgLMc/1KuIi+uZUzk/S998j5o7+jpiyNJv93qq+Pqfqjbf0BnwivZFvz/blIx3nElcJv832XUpc4Y11hVyrbNW5bJ1bi6lGuSqzXjsrsREPgGwmRvR2A3uJW5AvV7mTX26H8Z809P3mdLx8lbh1fXI6hg4QKZAGt697P0aIua8HgbPS92uJjBzHiBHEy7OfXQWcNq2xENNJPkp0PvcTd4I2kVagS5/T59Lrt2a/18vnVL3hlt6AFxLruN5NWr4u7c+X/rqGuFrIh7XHHjavVbbqXLbOrcVUo1yVWa+d9b0xf7v1BCJbwyCrQK+3mFVumXJ7qsvgePgAMTq3JnttdVa/d2T7ez1GiGkE9wMXZvt+SixacYTsVnqB96d6LMSDd1uJOzyfZ2hOLfGA4Q4iP/IZ2e91P72h1Bvf0kYkf91PzN3JG8JgIvFL0kHS/dyJSmWrzmXr3FpMNcpVmfXaWYmNyF+6i5jv1kk6NZXbTrk91id/0GtwjJyVjpEthWO5kxi9nSFumR8EthDzX+fIlvtdDrEQ8103kx5UW+RzGiwE8QZ6fPiuWuOsvRErvBwk5k5sHHptEzGvZ+M0la06l61zazHVKFdl1mtnfW7E7cTZ9Eeq2Aieyq3/2XdYt3w+9lbgKHBxybKJ1GY7iYUSDjG/qt5aYv7kucsplqF4npIrm0gB9ygj0kl1FkOJira6EUuc3UdciX4GeA2RCHgHMTH79GkrW3UuW+fWYqpRrsqs18763IhVjorPk1W5k7+xsFP6CuLhrl0c52IYHcRxMdHpP0yMFOYrtxXLIdpaLCM+p1cRF96/oucUeMUr2tpGPOl4GzGX49/EJPN9jLnMWMtlq85l69xaTDXKVZn12pk2ba1uRNaBXxIjhM94hbCOY3gLsSzocxp4P5qJZSiuy4jR3EMUmE4yGKpd1szsWcRV6QXEH5I97v7QNJetOpetc2sx1ShXZYoIgJnNADcRo4RHgXe7+56K8axw97la5ecai2UG+DqRpuwYkR2g989JHVMREREpysw2AG8CfuzuD9aORxZnZhcQaaG+4+5/KVKmOqYiIiJSmpmZqxPSvNKjuOqYioiIiEgTVtQOQEREREQE1DEVERERkUaoYyoiIiIiTVDHVERERESaoI6piIiIiDRBHVMRERERaYI6piIiIiLSBHVMRURERKQJ6piKiIiISBPUMZUFzOx0MztiZteNeH29mbmZfbJ0bDL51L6kT2b2kdR+Rm1/qx2jTCa1rXKeXTsAac6XgLn0dTH3AU8Ary4WkUwTtS/p0x3AFenf5wOfBr4I/DHt218jKJkKaluFqGMq/2NmZwLvAb7m7ocW+xl3nzOz/cBLS8Ymk0/tS/rm7ruB3QBmtjXt3ubuGs2SsahtlaNb+ZJ7H3Gxcutgh5mdaGYnDf3ck8DwPpH/R+1LSjofeFQdB+mB2laP1DGV3CbgIXffk+37EXD70M+tAw4CmNmpZvYzM/uXme0xs9cVilUmz1La17VmttfM5szsnYXilOmwAfjD8E6ds6QDo9qWzlcdUMdUADAzI64C92b7VgCvBfZl+84G1gB3p13bgPuBU4AvA983sxMLhS0TYoz29SfgY8CuYsHKtNhA1t4yOmfJuEa1LZ2vOqCOqQysAVYCD2f7Xg+cDOTzATemrzvNbDXwVuBadz/m7t8CjgBv7j9cmTDH3b4A3P3b7r4TeLxEkDIdzOwUYuT93qH9OmfJWEa1LdD5qivqmMrAE+nri7J9VwMHiIMQMzsBuAp4EPg58DLgsLvnTyPeA5zXd7AycZbSvkSW6tT0dfhJaZ2zZFyj2pZ0RE/lCwDufszM7gQuMbMvAM8HLgJuBD5sZg8Am4H1wGXu/qSZrQIeG/qvHgOeWy5ymQRLaV/VgpVp8HciLdkH0wXPD1MmCJ2zZFyj2pZ0RCOmktsC3AV8CriQuOV1I5Fb8jrgBcDl7v6D9PNHgdVD/8ca4J9FopVJc7ztS2RJ3P0fwMeBs4FbAEsv6ZwlY3matiUdMXevHYNMqDRf6xHgjMGtMTO7F7ja3XUrVjpjZrNEzsDttWORyaVzlpSg89V4NGIqS+buR4AdwGfNbKWZXUGMPsxWDUymhpnNmNlK4lw1k9qZzluyJDpnSZ90vuqGRkxlLGZ2GnAb8Ebgz8D73f2OulHJtDCzbwJXDu2+xN1ny0cj00DnLOmLzlfdUMdURERERJqgIWYRERERaYI6piIiIiLSBHVMRURERKQJ6piKiIiISBPUMRURERGRJqhjKiIiIiJNUMdURERERJqgjqmIiIiINOG/jNwZRJkpkkcAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 698.4x698.4 with 16 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "afdist=samps_tr[-1][::downfactor]\n",
+    "mdist=samps_tr[-2][::downfactor]\n",
+    "\n",
+    "w_dist=[None] * len(afdist)\n",
+    "tau_dist=[None] * len(afdist)\n",
+    "\n",
+    "for i in range(len(afdist)):\n",
+    "    w_dist[i],tau_dist[i] = QNM_spectrum(mdist[i],afdist[i],2,2)\n",
+    "\n",
+    "for i in range(dim):\n",
+    "    w_lab[i] = wstr+str(i)+'$'\n",
+    "    tau_lab[i] = taustr+str(i)+'$'\n",
+    "\n",
+    "labels = np.concatenate((w_lab,tau_lab))\n",
+    "truths = np.concatenate((w,tau))\n",
+    "\n",
+    "w_tau_dist=np.column_stack((w_dist,tau_dist))\n",
+    "figure = corner.corner(w_tau_dist, labels=labels,\n",
+    "                       quantiles=[0.05, 0.5, 0.95],\n",
+    "                       show_titles=True, title_kwargs={\"fontsize\": 16},\n",
+    "                       truths=truths,\n",
+    "                       truth_color ='r')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 365,
    "metadata": {},
    "outputs": [],
    "source": [
     "if not eval(overwrite):\n",
-    "    fg.savefig(corner_plot, format = 'png', bbox_inches = 'tight')"
+    "    fg.savefig(corner_plot, format = 'png', bbox_inches = 'tight')\n",
+    "    if model == 'w-tau-fixed-m-af':\n",
+    "        figure.savefig(corner_plot_extra, format = 'png', bbox_inches = 'tight')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 300,
+   "execution_count": 366,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 1152x1152 with 4 Axes>"
       ]
@@ -1234,7 +1288,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 301,
+   "execution_count": 367,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1244,12 +1298,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 292,
+   "execution_count": 368,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x648 with 1 Axes>"
       ]
@@ -1278,7 +1332,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 296,
+   "execution_count": 371,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1288,7 +1342,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 297,
+   "execution_count": 372,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1305,6 +1359,18 @@
    "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": "3.7.7"
   }
  },
  "nbformat": 4,
diff --git a/code_new/NR_dynesty_t0_loop.py b/code_new/NR_dynesty_t0_loop.py
index cc3280b40aa75493669a4876d1c1bbdb63e61947..83a5aab76b3ea3dd56ca13951abae244395462f8 100644
--- a/code_new/NR_dynesty_t0_loop.py
+++ b/code_new/NR_dynesty_t0_loop.py
@@ -1,3 +1,9 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[286]:
+
+
 #Import relevant modules, import data and all that
 import numpy as np
 from scipy import interpolate
@@ -27,6 +33,12 @@ import csv
 import argparse
 import scipy.optimize as optimization
 from scipy.optimize import minimize
+from scipy.interpolate import interp1d
+from pycbc.conversions import get_lm_f0tau_allmodes
+from scipy.optimize import fsolve
+from scipy.optimize import least_squares
+
+
 
 try:
     parser = argparse.ArgumentParser(description="Simple argument parser")
@@ -38,10 +50,14 @@ try:
     parser.sections()
 except SystemExit: 
     parser = ConfigParser()
-    parser.read('config_n1.ini')
+    parser.read('config_fixed_n1_m_af.ini')
     parser.sections()
     pass
 
+
+# In[287]:
+
+
 # path
 rootpath=parser.get('nr-paths','rootpath')
 
@@ -55,13 +71,30 @@ output_folder = parser.get('output-folder','output-folder')
 overwrite = parser.get('setup','overwrite')
 downfactor = np.int(parser.get('setup','plot_down_factor'))
 sampler = parser.get('setup','sampler')
+nr_code = parser.get('setup','nr_code')
+
+
+# In[288]:
+
+
+if parser.has_option('setup','nb_cores'):
+    nbcores = np.int(parser.get('setup','nb_cores'))
+else:
+    nbcores = 1
+
+
+# In[289]:
+
 
 if not os.path.exists(output_folder):
     os.mkdir(output_folder)
     print("Directory " , output_folder ,  " Created ")
 
-# time config
 
+# In[290]:
+
+
+# time config
 tshift=parser.get('time-setup','tshift')
 tshift = np.float(tshift)
 
@@ -71,6 +104,10 @@ tend = np.float(tend)
 t_align=parser.get('time-setup','t_align')
 t_align = np.float(t_align)
 
+
+# In[291]:
+
+
 # n-tones & nlive
 
 nmax=parser.get('n-tones','nmax')
@@ -79,23 +116,28 @@ nmax = np.int(nmax)
 npoints=parser.get('n-live-points','npoints')
 npoints = np.int(npoints)
 
+
+# In[292]:
+
+
 # model
 model=parser.get('rd-model','model')
 error_str = eval(parser.get('rd-model','error_str'))
 if error_str:
     error_val=np.float(parser.get('rd-model','error_val'))
     if error_val==0:
-        error_type='NR_estimate'
+        error_type=''
     else:
         error_type=error_val
+else:
+    error_type='False'
+    error_val =0
 
-
-if model == 'w-tau':
-    tau_var_str='tau'
-elif model == 'w-q':
-    tau_var_str='q'
-elif model == 'w-tau-fixed':
+if model == 'w-q':
     tau_var_str='q'
+else:
+    tau_var_str='tau'
+    
 
 print('model:',model)
 print('nmax:',nmax)
@@ -103,6 +145,10 @@ print('tshift:',tshift)
 print('error:', error_str)
 print('error value:',error_type)
 
+
+# In[293]:
+
+
 if error_str:
     output_folder_1=output_folder+'/'+model+'-nmax'+str(nmax)+'_'+str(error_str)+'_'+str(error_type)
 else:
@@ -112,59 +158,26 @@ if not os.path.exists(output_folder_1):
     os.mkdir(output_folder_1)
     print("Directory " , output_folder_1 ,  " Created ")
 
+
+# In[294]:
+
+
 corner_plot=output_folder_1+'/Dynesty_'+str(simulation_number)+'_'+model+'_nmax='+str(nmax)+'_tshift='+str(tshift)+'_'+str(npoints)+'corner_plot.png'
+corner_plot_extra=output_folder_1+'/Dynesty_'+str(simulation_number)+'_'+model+'_nmax='+str(nmax)+'_tshift='+str(tshift)+'_'+str(npoints)+'corner_plot_extra.png'
 diagnosis_plot=output_folder_1+'/Dynesty_diagnosis'+str(simulation_number)+'_'+model+'_nmax='+str(nmax)+'_tshift='+str(tshift)+'_'+str(npoints)+'.png'
 fit_plot=output_folder_1+'/Fit_results_'+str(simulation_number)+'tshift_'+str(tshift)+'_'+model+'_nmax_'+str(nmax)+'.png'
 samples_file=output_folder_1+'/posterior_samples-'+str(simulation_number)+'tshift_'+str(tshift)+'_'+model+'_nmax_'+str(nmax)+'.csv'
 
 
+# In[295]:
+
+
 sumary_data = output_folder_1+'/summary'+str(simulation_number)+'_'+model+'_nmax_'+str(nmax)+'.csv'
 best_data=output_folder_1+'/best_values_'+str(simulation_number)+'_'+model+'_nmax_'+str(nmax)+'.csv'
 
-# loading priors
-w_mins=np.empty(nmax+1)
-w_maxs=np.empty(nmax+1)
-tau_mins=np.empty(nmax+1)
-tau_maxs=np.empty(nmax+1)
-a_mins=np.empty(nmax+1)
-a_maxs=np.empty(nmax+1)
-ph_mins=np.empty(nmax+1)
-ph_maxs=np.empty(nmax+1)
 
+# In[296]:
 
-for i in range(nmax+1): 
-    wp_min=parser.get('prior-w'+str(i),'w'+str(i)+'_min')
-    w_mins[i] = np.float(wp_min)
-    
-    wp_max=parser.get('prior-w'+str(i),'w'+str(i)+'_max')
-    w_maxs[i] = np.float(wp_max)
-    
-    taup_min=parser.get('prior-'+tau_var_str+str(i),tau_var_str+str(i)+'_min')
-    tau_mins[i] = np.float(taup_min)
-    
-    taup_max=parser.get('prior-'+tau_var_str+str(i),tau_var_str+str(i)+'_max')
-    tau_maxs[i] = np.float(taup_max)
-    
-    amp0_min=parser.get('prior-amp'+str(i),'amp'+str(i)+'_min')
-    a_mins[i] = np.float(amp0_min)
-    
-    amp1_max=parser.get('prior-amp'+str(i),'amp'+str(i)+'_max')
-    a_maxs[i] = np.float(amp1_max)
-    
-    phase_min=parser.get('prior-phase'+str(i),'phase'+str(i)+'_min')
-    ph_mins[i] = np.float(phase_min)*2*np.pi
-    
-    phase_max=parser.get('prior-phase'+str(i),'phase'+str(i)+'_max')
-    ph_maxs[i] = np.float(phase_max)*2*np.pi
-    
-priors_min = np.concatenate((w_mins,tau_mins,a_mins,ph_mins))
-priors_max = np.concatenate((w_maxs,tau_maxs,a_maxs,ph_maxs))
-prior_dim = len(priors_min)
-
-if model == 'w-tau-fixed':
-    priors_min = np.concatenate((a_mins,ph_mins))
-    priors_max = np.concatenate((a_maxs,ph_maxs))
-    prior_dim = len(priors_min)
 
 vary_fund = True
 
@@ -234,34 +247,177 @@ def twopoint_autocovariance(t,n):
         res[tau]=np.sum(n*ntau).real
     return (taus[:int(len(n)/2)],res[:int(len(n)/2)])
 
-#This loads the 22 mode data
+def QNM_spectrum(mf,af,l,m):
+    
+    omegas_new = [qnm.modes_cache(s=-2,l=l,m=m,n=i)(a=af)[0] for i in range (0,dim)]
+    w_m_a = (np.real(omegas_new))/mf
+    tau_m_a=-1/(np.imag(omegas_new))*mf
+    
+    return (w_m_a, tau_m_a)
+
+
+# In[297]:
+
+
 gw = {}
 gw[simulation_number] = h5py.File(simulation_path_1, 'r')
-gw_sxs_bbh_0305 = gw[simulation_number]["Extrapolated_N3.dir"]["Y_l2_m2.dat"]
-
+if nr_code=='SXS':
+    gw_sxs_bbh_0305 = gw[simulation_number]["Extrapolated_N3.dir"]["Y_l2_m2.dat"]
+    times = gw_sxs_bbh_0305[:,0]
 
-gw5 = {}
-gw5[simulation_number] = h5py.File(simulation_path_2, 'r')
-gw5_sxs_bbh_0305 = gw5[simulation_number]["Extrapolated_N3.dir"]["Y_l2_m2.dat"]
+    gw5 = {}
+    gw5[simulation_number] = h5py.File(simulation_path_2, 'r')
+    gw5_sxs_bbh_0305 = gw5[simulation_number]["Extrapolated_N3.dir"]["Y_l2_m2.dat"]
 # Remember to download metadata.json from the simulation with number: 0305. Download Lev6/metadata.json
 # This postprocesses the metadata file to find the final mass and final spin
-metadata = {}
-with open(metadata_file) as file:
-    metadata[simulation_number] = json.load(file)
+    
+elif nr_code=='Maya':
+    gw_sxs_bbh_0305_amp = np.asarray(gw[simulation_number]['amp_l2_m2/Y'])[6:]
+    gw_sxs_bbh_0305_amp_err = np.asarray(gw[simulation_number]['amp_l2_m2/errors'])
+    times = np.asarray(gw[simulation_number]['amp_l2_m2/X'])[6:]
+    gw_sxs_bbh_0305_amp_int = interp1d(times, -gw_sxs_bbh_0305_amp, kind='cubic')
+    gw_sxs_bbh_0305_amp_errs_int = interp1d(times, gw_sxs_bbh_0305_amp_err, kind='cubic')
+
+    
+    gw_sxs_bbh_0305_pha = np.asarray(gw[simulation_number]['phase_l2_m2/Y'])[6:]
+    gw_sxs_bbh_0305_pha_err = np.asarray(gw[simulation_number]['phase_l2_m2/errors'])
+    times = np.asarray(gw[simulation_number]['phase_l2_m2/X'])[6:]
+    gw_sxs_bbh_0305_pha_int = interp1d(times, -gw_sxs_bbh_0305_pha, kind='cubic')
+    gw_sxs_bbh_0305_pha_errs_int = interp1d(times, gw_sxs_bbh_0305_pha_err, kind='cubic')
+
+    amps=gw_sxs_bbh_0305_amp_int(times) 
+    amps_err=gw_sxs_bbh_0305_amp_errs_int(times) 
+
+    phs=gw_sxs_bbh_0305_pha_int(times)
+    phs_err=-gw_sxs_bbh_0305_pha_errs_int(times)
+    
+    gw_sxs_bbh_0305 = np.asarray([times,amps*np.cos(phs),amps*np.sin(phs)]).T
+    gw5_sxs_bbh_0305 = np.asarray([times,(amps+amps_err)*np.cos(phs+phs_err),amps*np.sin(phs+phs_err)]).T
+
+elif nr_code=='LaZeV':
+    gw_sxs_bbh_0305_amp = np.asarray(gw[simulation_number]['amp_l2_m2/Y'])[6:]
+    gw_sxs_bbh_0305_amp_err = np.asarray(gw[simulation_number]['amp_l2_m2/errors'])
+    times_1 = np.asarray(gw[simulation_number]['amp_l2_m2/X'])[6:]
+    gw_sxs_bbh_0305_amp_int = interp1d(times_1, -gw_sxs_bbh_0305_amp, kind='cubic')
+    gw_sxs_bbh_0305_amp_errs_int = interp1d(times_1, gw_sxs_bbh_0305_amp_err, kind='cubic')
+    
+    gw_sxs_bbh_0305_pha = np.asarray(gw[simulation_number]['phase_l2_m2/Y'])[6:]
+    gw_sxs_bbh_0305_pha_err = np.asarray(gw[simulation_number]['phase_l2_m2/errors'])
+    times = np.asarray(gw[simulation_number]['phase_l2_m2/X'])[6:]
+    gw_sxs_bbh_0305_pha_int = interp1d(times, -gw_sxs_bbh_0305_pha, kind='cubic')
+    gw_sxs_bbh_0305_pha_errs_int = interp1d(times, gw_sxs_bbh_0305_pha_err, kind='cubic')
+    
+    amps=gw_sxs_bbh_0305_amp_int(times_1) 
+    amps_err=gw_sxs_bbh_0305_amp_errs_int(times_1) 
+
+    phs=gw_sxs_bbh_0305_pha_int(times_1)
+    phs_err=-gw_sxs_bbh_0305_pha_errs_int(times_1)
+    
+    gw_sxs_bbh_0305 = np.asarray([times_1,amps*np.cos(phs),amps*np.sin(phs)]).T
+    gw5_sxs_bbh_0305 = np.asarray([times_1,(amps+amps_err)*np.cos(phs+phs_err),amps*np.sin(phs+phs_err)]).T
+    times=times_1
+
+
+# In[298]:
+
+
+if nr_code=='SXS':
+    metadata = {}
+    with open(metadata_file) as file:
+        metadata[simulation_number] = json.load(file)
 
-af = metadata[simulation_number]['remnant_dimensionless_spin'][-1]
-mf = metadata[simulation_number]['remnant_mass']
+    af = metadata[simulation_number]['remnant_dimensionless_spin'][-1]
+    mf = metadata[simulation_number]['remnant_mass']
 
+elif nr_code=='Maya':
+    af = 0.6861
+    mf = 0.9515
+
+elif nr_code=='LaZeV':
+    af = 0.692
+    mf = 0.952
+    
 #times --> x axis of your data
 times = gw_sxs_bbh_0305[:,0]
-tmax=FindTmaximum(gw_sxs_bbh_0305)
+tmax=FindTmaximum(gw_sxs_bbh_0305[round(len(gw_sxs_bbh_0305)/2):])
 times = times - tmax
 
+
 #times 6--> x axis of your data
 times5 = gw5_sxs_bbh_0305[:,0]
-tmax5=FindTmaximum(gw5_sxs_bbh_0305)
+tmax5=FindTmaximum(gw5_sxs_bbh_0305[round(len(gw_sxs_bbh_0305)/2):])
 times5 = times5 - tmax5
 
+
+# In[299]:
+
+
+w , tau = QNM_spectrum(mf,af,2,2)
+
+
+# In[300]:
+
+
+# loading priors
+w_mins=np.empty(nmax+1)
+w_maxs=np.empty(nmax+1)
+tau_mins=np.empty(nmax+1)
+tau_maxs=np.empty(nmax+1)
+a_mins=np.empty(nmax+1)
+a_maxs=np.empty(nmax+1)
+ph_mins=np.empty(nmax+1)
+ph_maxs=np.empty(nmax+1)
+
+for i in range(nmax+1): 
+    wp_min=parser.get('prior-w'+str(i),'w'+str(i)+'_min')
+    w_mins[i] = np.float(wp_min)
+    
+    wp_max=parser.get('prior-w'+str(i),'w'+str(i)+'_max')
+    w_maxs[i] = np.float(wp_max)
+    
+    taup_min=parser.get('prior-'+tau_var_str+str(i),tau_var_str+str(i)+'_min')
+    tau_mins[i] = np.float(taup_min)
+    
+    taup_max=parser.get('prior-'+tau_var_str+str(i),tau_var_str+str(i)+'_max')
+    tau_maxs[i] = np.float(taup_max)
+    
+    amp0_min=parser.get('prior-amp'+str(i),'amp'+str(i)+'_min')
+    a_mins[i] = np.float(amp0_min)
+    
+    amp1_max=parser.get('prior-amp'+str(i),'amp'+str(i)+'_max')
+    a_maxs[i] = np.float(amp1_max)
+    
+    phase_min=parser.get('prior-phase'+str(i),'phase'+str(i)+'_min')
+    ph_mins[i] = np.float(phase_min)*2*np.pi
+    
+    phase_max=parser.get('prior-phase'+str(i),'phase'+str(i)+'_max')
+    ph_maxs[i] = np.float(phase_max)*2*np.pi
+    
+priors_min = np.concatenate((w_mins,tau_mins,a_mins,ph_mins))
+priors_max = np.concatenate((w_maxs,tau_maxs,a_maxs,ph_maxs))
+prior_dim = len(priors_min)
+priors=np.column_stack((priors_min,priors_max))
+
+if model == 'w-tau-fixed':
+    priors_min = np.concatenate((a_mins,ph_mins))
+    priors_max = np.concatenate((a_maxs,ph_maxs))
+    prior_dim = len(priors_min)
+    priors=np.column_stack((priors_min,priors_max))
+
+elif model ==  'w-tau-fixed-m-af':
+    mass_min=[np.float(parser.get('prior-mass','mass_min'))]
+    mass_max=[np.float(parser.get('prior-mass','mass_max'))]
+    spin_min=[np.float(parser.get('prior-spin','spin_min'))]
+    spin_max=[np.float(parser.get('prior-spin','spin_max'))]
+    priors_min = np.concatenate((a_mins,ph_mins,mass_min,spin_min))
+    priors_max = np.concatenate((a_maxs,ph_maxs,mass_max,spin_max))
+    prior_dim = len(priors_min)
+    priors=np.column_stack((priors_min,priors_max))
+
+
+# In[301]:
+
+
 #Select the data from 0 onwards
 position = np.argmax(times >= (t_align))
 position5 = np.argmax(times5 >= (t_align))
@@ -270,6 +426,10 @@ gw_sxs_bbh_0305rd5=gw5_sxs_bbh_0305[position5+1:]
 timesrd=gw_sxs_bbh_0305[position:-1][:,0][:]-tmax
 timesrd5=gw5_sxs_bbh_0305[position5:-1][:,0][:]-tmax5
 
+
+# In[302]:
+
+
 #Test plot real part (data was picked in the last cell). Aligning in time
 plt.figure(figsize = (12, 8))
 plt.plot(timesrd, gw_sxs_bbh_0305rd[:,1], "r", alpha=0.3, lw=3, label=r'$Lev6$: real')
@@ -278,18 +438,9 @@ plt.plot(timesrd5, gw_sxs_bbh_0305rd5[:,1], "b", alpha=0.3, lw=3, label=r'$Lev5:
 plt.plot(timesrd5, np.sqrt(gw_sxs_bbh_0305rd5[:,1]**2+gw_sxs_bbh_0305rd5[:,2]**2), "b", alpha=0.3, lw=3, label=r'$Lev5\,amp$')
 plt.legend()
 
-#Test plot im part (data was picked in the last cell). Aligning in time
-plt.figure(figsize = (12, 8))
-plt.plot(timesrd, gw_sxs_bbh_0305rd[:,2], "r", alpha=0.3, lw=3, label=r'$Lev6: imag$')
-plt.plot(timesrd, np.sqrt(gw_sxs_bbh_0305rd[:,1]**2+gw_sxs_bbh_0305rd[:,2]**2), "r", alpha=0.3, lw=3, label=r'$Lev5\,amp$')
-plt.plot(timesrd5, gw_sxs_bbh_0305rd5[:,2], "b", alpha=0.3, lw=3, label=r'$Lev5: imag$')
-plt.plot(timesrd5, np.sqrt(gw_sxs_bbh_0305rd5[:,1]**2+gw_sxs_bbh_0305rd5[:,2]**2), "b", alpha=0.3, lw=3, label=r'$Lev5\,amp$')
-plt.legend()
 
-# Depending on nmax, you load nmax number of freqs. and damping times from the qnm package
-omegas = [qnm.modes_cache(s=-2,l=2,m=2,n=i)(a=af)[0] for i in range (0,dim)]
-w = (np.real(omegas))/mf
-tau=-1/(np.imag(omegas))*mf
+# In[303]:
+
 
 gwnew_re = interpolate.interp1d(timesrd, gw_sxs_bbh_0305rd[:,1], kind = 'cubic')
 gwnew_im = interpolate.interp1d(timesrd, gw_sxs_bbh_0305rd[:,2], kind = 'cubic')
@@ -297,6 +448,10 @@ gwnew_im = interpolate.interp1d(timesrd, gw_sxs_bbh_0305rd[:,2], kind = 'cubic')
 gwnew_re5 = interpolate.interp1d(timesrd5, gw_sxs_bbh_0305rd5[:,1], kind = 'cubic')
 gwnew_im5 = interpolate.interp1d(timesrd5, gw_sxs_bbh_0305rd5[:,2], kind = 'cubic')
 
+
+# In[304]:
+
+
 if timesrd5[-1]>= timesrd[-1]: 
     timesrd_final = timesrd
 else:
@@ -310,13 +465,21 @@ gwdatanew_im5 = gwnew_im5(timesrd_final)
 gwdatanew = gwdatanew_re - 1j*gwdatanew_im
 gwdatanew5 = gwdatanew_re5- 1j*gwdatanew_im5
 
-taus, corr= twopoint_autocovariance(timesrd,gwdatanew-gwdatanew5)
-plt.figure(figsize = (12, 8))
-plt.plot(taus, corr,'ro')
-plt.show()
-vmax=np.max(corr)
-index = np.argmax(corr == vmax)
-taus[index]
+
+# In[305]:
+
+
+#taus, corr= twopoint_autocovariance(timesrd,gwdatanew-gwdatanew5)
+#plt.figure(figsize = (12, 8))
+#plt.plot(taus, corr,'ro')
+#plt.show()
+#vmax=np.max(corr)
+#index = np.argmax(corr == vmax)
+#taus[index]
+
+
+# In[306]:
+
 
 mismatch=1-EasyMatchT(timesrd_final,gwdatanew,gwdatanew5,0,0+90)
 error=np.sqrt(2*mismatch)
@@ -324,6 +487,10 @@ print('error estimate:',error)
 print('mismatch:', mismatch)
 print('snr:', EasySNRT(timesrd_final,gwdatanew,gwdatanew,0,0+90)/error**2)
 
+
+# In[307]:
+
+
 if error_str and error_val==0:
     error = np.sqrt(gwdatanew*gwdatanew-2*gwdatanew*gwdatanew5+gwdatanew5*gwdatanew5)
     error_est=np.sqrt(error.imag**2+error.real**2)
@@ -333,49 +500,46 @@ if error_str and error_val==0:
     plt.plot(timesrd_final, error_est, "b", alpha=0.3, lw=2, label='error')
     plt.legend()
 
-if error_str and error_val==0:
-    error = np.sqrt(gwdatanew*gwdatanew-2*gwdatanew*gwdatanew5+gwdatanew5*gwdatanew5)
-    error_est=np.sqrt(error.imag**2+error.real**2)
-    plt.figure(figsize = (12, 8))
-    plt.xlim(0,80)
-    plt.plot(timesrd_final, np.abs(gwdatanew)/error_est, "r", alpha=0.3, lw=2, label='Lev6')
-    plt.legend()
+
+# In[308]:
+
+
+if parser.has_option('rd-model','phase_alignment'):
+    phase_alignment=eval(parser.get('rd-model','phase_alignment'))    
+else:
+    phase_alignment=False
+
+
+# In[309]:
+
 
 # Phase alignement
-phas = np.angle(gwdatanew)
-phas = np.unwrap(phas)
-phas5 = np.angle(gwdatanew5)
-phas5 = np.unwrap(phas5)
-plt.plot(timesrd_final, phas, "r", alpha=0.3, lw=3, label=r'$phase$')
-plt.plot(timesrd_final, phas5, "blue", alpha=0.3, lw=3, label=r'$phase$')
-
-position = np.argmax(timesrd_final >= (t_align))
-dphase = phas5[position]-phas[position]
-print(dphase)
-
-gwdatanew = (gwdatanew_re - 1j*gwdatanew_im)*np.exp(1j*dphase)
-#gw_sxs_bbh_0305rd6=gw6_sxs_bbh_0305[position6:-1]
-#timesrd=gw_sxs_bbh_0305[position:-1][:,0][:920]
-phas = np.angle(gwdatanew)
-phas = np.unwrap(phas)
-
-phas5 = np.angle(gwdatanew5)
-phas5 = np.unwrap(phas5)
-plt.plot(timesrd_final, phas, "r", alpha=0.3, lw=3, label=r'$phase$')
-plt.plot(timesrd_final, phas5, "blue", alpha=0.3, lw=3, label=r'$phase$')
-
-mismatch=1-EasyMatchT(timesrd_final,gwdatanew,gwdatanew5,0,+90)
-error=np.sqrt(2*mismatch)
-print('error estimate:',error)
-print('mismatch:', mismatch)
-print('snr:', EasySNRT(timesrd_final,gwdatanew,gwdatanew5,0,0+90)/error)
-if error_str:
-    error = np.sqrt(gwdatanew*gwdatanew-2*gwdatanew*gwdatanew5+gwdatanew5*gwdatanew5)
-    error_est=np.sqrt(error.imag**2+error.real**2)
-else :
-    error = 1 
+if phase_alignment:
+    phas = np.angle(gwdatanew)
+    phas = np.unwrap(phas)
+    phas5 = np.angle(gwdatanew5)
+    phas5 = np.unwrap(phas5)
+    position = np.argmax(timesrd_final >= (t_align))
+    dphase = phas5[position]-phas[position]
+    gwdatanew = (gwdatanew_re - 1j*gwdatanew_im)*np.exp(1j*dphase)
+    gw_sxs_bbh_0305rd6=gw6_sxs_bbh_0305[position6:-1]
+    timesrd=gw_sxs_bbh_0305[position:-1][:,0][:920]
+    mismatch=1-EasyMatchT(timesrd_final,gwdatanew,gwdatanew5,0,+90)
+    error=np.sqrt(2*mismatch)
+    print('error estimate:',error)
+    print('mismatch:', mismatch)
+    print('snr:', EasySNRT(timesrd_final,gwdatanew,gwdatanew5,0,0+90)/error)
+    if error_str:
+        error = np.sqrt(gwdatanew*gwdatanew-2*gwdatanew*gwdatanew5+gwdatanew5*gwdatanew5)
+        error_est=np.sqrt(error.imag**2+error.real**2)
+    else :
+        error = 1 
+
+    EasySNRT(timesrd_final,gwdatanew,gwdatanew5/error,0,0+90)
+
+
+# In[310]:
 
-EasySNRT(timesrd_final,gwdatanew,gwdatanew5/error,0,0+90)
 
 #Test the new interpolated data
 if error_str and error_val==0:
@@ -385,12 +549,20 @@ if error_str and error_val==0:
     plt.plot(timesrd_final, error.real, "b", alpha=0.3, lw=2, label='error')
     plt.legend()
 
+
+# In[311]:
+
+
 #Test the error data
 if error_str and error_val==0:
     plt.figure(figsize = (12, 8))
     plt.plot(timesrd_final, np.sqrt(error.imag**2+error.real**2), "r", alpha=0.3, lw=2, label='all error')
     plt.legend()
 
+
+# In[312]:
+
+
 #Test the error data
 if error_str and error_val==0:
     plt.figure(figsize = (12, 8))
@@ -399,7 +571,12 @@ if error_str and error_val==0:
     plt.plot(timesrd_final,gwdatanew.real/np.sqrt(error.imag**2+error.real**2), "r", alpha=0.3, lw=2, label='all error')
     plt.legend()
 
+
+# In[313]:
+
+
 #Take the piece of waveform you want
+tshift=0
 position_in = np.argmax(timesrd_final >= tshift)
 position_end = np.argmax(timesrd_final >= tend)
 timesrd_final_tsh = timesrd_final[position_in:position_end]
@@ -407,8 +584,16 @@ gwdatanew_re_tsh = gwdatanew_re[position_in:position_end]
 gwdatanew_im_tsh = gwdatanew_im[position_in:position_end]
 if error_str and error_val==0:
     error_tsh=error[position_in:position_end]
-else:
+elif error_str and error_val!=0:
+    gwdatanew_re_tsh+=random.uniform(0, error_val)
+    gwdatanew_im_tsh+=random.uniform(0, error_val)
     error_tsh=error_val
+else:
+    error_tsh=1
+
+
+# In[314]:
+
 
 #Fitting
 #RD model for nmax tones. Amplitudes are in (xn*Exp[i yn]) version. Used here.
@@ -456,6 +641,22 @@ def model_dv(theta):
     # -1j to agree with SXS convention
     return ansatz
 
+def model_dv_ma(theta):
+    #x0, y0= theta
+    #Your nmax might not align with the dim of theta. Better check it here.
+    xvars = theta[ : (dim)]
+    yvars = theta[(dim) : 2*(dim)]
+    mass_vars = np.float(theta[-2])
+    spin_vars = np.float(theta[-1])
+    
+    w_m_a , tau_m_a = QNM_spectrum(mass_vars,spin_vars,2,2)
+    
+    ansatz = 0
+    for i in range (0,dim):
+        ansatz += (xvars[i]*np.exp(1j*yvars[i]))*np.exp(-timesrd_final_tsh/tau_m_a[i]) * (np.cos(w_m_a[i]*timesrd_final_tsh)-1j*np.sin(w_m_a[i]*timesrd_final_tsh))
+    # -1j to agree with SXS convention
+    return ansatz
+
 # Logprior distribution. It defines the allowed range my variables can vary over. 
 #It works for the (xn*Exp[iyn]) version. 
 
@@ -481,20 +682,123 @@ def log_probability(theta):
         return -np.inf
     return lp + log_likelihood(theta)
 
-dict = {'w-tau': model_dv_tau , 'w-q': model_dv_q, 'w-tau-fixed': model_dv}
 
-#I need to provid an initial guess for 4*(nmax+1) the parameters
-np.random.seed(42)
+# In[315]:
+
+
+dict = {'w-tau': model_dv_tau , 'w-q': model_dv_q, 'w-tau-fixed': model_dv,'w-tau-fixed-m-af': model_dv_ma}
+
+
+# In[316]:
+
+
+#nmax=2
+#dim = nmax+1
+#ndim = 4*dim
+
+# loading priors
+#w_mins=np.empty(nmax+1)
+#w_maxs=np.empty(nmax+1)
+#tau_mins=np.empty(nmax+1)
+#tau_maxs=np.empty(nmax+1)
+#a_mins=np.empty(nmax+1)
+#a_maxs=np.empty(nmax+1)
+#ph_mins=np.empty(nmax+1)
+#ph_maxs=np.empty(nmax+1)
+
+
+#for i in range(nmax+1): 
+#    wp_min=parser.get('prior-w'+str(i),'w'+str(i)+'_min')
+#    w_mins[i] = np.float(wp_min)
+    
+#    wp_max=parser.get('prior-w'+str(i),'w'+str(i)+'_max')
+#    w_maxs[i] = np.float(wp_max)
+    
+#    taup_min=parser.get('prior-'+tau_var_str+str(i),tau_var_str+str(i)+'_min')
+#    tau_mins[i] = np.float(taup_min)
+    
+#    taup_max=parser.get('prior-'+tau_var_str+str(i),tau_var_str+str(i)+'_max')
+#    tau_maxs[i] = np.float(taup_max)
+    
+#    amp0_min=parser.get('prior-amp'+str(i),'amp'+str(i)+'_min')
+#    a_mins[i] = np.float(amp0_min)
+    
+#    amp1_max=parser.get('prior-amp'+str(i),'amp'+str(i)+'_max')
+#    a_maxs[i] = np.float(amp1_max)
+    
+#    phase_min=parser.get('prior-phase'+str(i),'phase'+str(i)+'_min')
+#    ph_mins[i] = np.float(phase_min)*2*np.pi
+    
+#    phase_max=parser.get('prior-phase'+str(i),'phase'+str(i)+'_max')
+#    ph_maxs[i] = np.float(phase_max)*2*np.pi
+    
+#priors_min = np.concatenate((w_mins,tau_mins,a_mins,ph_mins))
+#priors_max = np.concatenate((w_maxs,tau_maxs,a_maxs,ph_maxs))
+#prior_dim = len(priors_min)
+
+#nll = lambda *args: -log_likelihood(*args)
+#initial = [w[0],w[1],w[2],tau[0],tau[1],tau[2],a_maxs[0]/2,a_maxs[1]/2,a_maxs[2]/2,1,1,1]
+#bic2=np.ones(len(range(20)))
+
+#for tshift in range(20):
+#    position_in = np.argmax(timesrd_final >= tshift)
+#    position_end = np.argmax(timesrd_final >= tend)
+#    timesrd_final_tsh = timesrd_final[position_in:position_end]
+#    gwdatanew_re_tsh = gwdatanew_re[position_in:position_end]
+#    gwdatanew_im_tsh = gwdatanew_im[position_in:position_end]
+#    error_tsh=error[position_in:position_end]
+
+#    soln = minimize(nll, initial)
+#    vars_ml=soln.x
+#    initial = vars_ml
+#    bic2[tshift]=2*log_likelihood(vars_ml)+len(timesrd_final_tsh)*np.log(len(timesrd_final_tsh))
+
+
+# In[317]:
+
+
+#plt.figure(figsize = (12, 8))
+#plt.plot(np.abs(bic4), "r", alpha=0.3, lw=3, label=r'$bic: 4$')
+#plt.plot(np.abs(bic3), "b", alpha=0.3, lw=3, label=r'$bic: 3$')
+#plt.plot(np.abs(bic2), "cyan", alpha=0.3, lw=3, label=r'$bic: 2$')
+#plt.yscale('log')
+#plt.legend()
+
+
+# In[322]:
+
+
 nll = lambda *args: -log_likelihood(*args)
-initial = np.ones(prior_dim)
-soln = minimize(nll, initial)
-#x0_ml, y0_ml, a0_ml, b0_ml = soln.x
-print("Maximum likelihood estimates:")
-vars_ml=soln.x
-print(vars_ml)
+if model == 'w-tau-fixed-m-af':
+    initial = np.concatenate((np.ones(2*dim),[0.8,0.9]))
+    soln = minimize(nll, initial,bounds=priors)
+    vars_ml=soln.x
+elif model == 'w-tau-fixed':
+    initial = np.ones(2*dim)
+    soln = minimize(nll, initial,bounds=priors)
+    vars_ml=soln.x
+else:
+    initial = np.ones(ndim)
+    soln = minimize(nll, initial,bounds=priors)
+    vars_ml=soln.x
+
+
+# In[323]:
+
+
+mypool = Pool(nbcores)
+mypool.size = nbcores
+
+f2=dynesty.NestedSampler(log_likelihood, prior_transform, prior_dim, nlive=npoints,sample=sampler,pool=mypool)
+if parser.has_option('setup','dlogz'):
+    dlogz=np.float(parser.get('setup','dlogz'))    
+    f2.run_nested(dlogz=dlogz)
+else:
+    f2.run_nested()
+
+
+# In[325]:
 
-f2=dynesty.NestedSampler(log_likelihood, prior_transform, prior_dim, nlive=npoints,sample=sampler)
-f2.run_nested(dlogz=0.01)
 
 wstr = r'$\omega_'
 
@@ -503,7 +807,9 @@ if model == 'w-tau':
 elif model == 'w-q':
     taustr = r'$q_'
 elif model == 'w-tau-fixed':
-    taustr = r'$dumb_var}'
+    taustr = r'$dumb_var}'  
+elif model == 'w-tau-fixed-m-af':
+    taustr = r'$\tau_'
     
 ampstr = r'$A_'
 phasestr =  r'$\phi_'
@@ -512,6 +818,8 @@ w_lab = [None] * dim
 tau_lab = [None] * dim
 amp_lab =  [None] * dim
 pha_lab =  [None] * dim
+mass_lab =  ['mass']
+spin_lab  =  ['spin'] 
 
 for i in range(dim):
     w_lab[i] = wstr+str(i)+'$'
@@ -519,40 +827,69 @@ for i in range(dim):
     amp_lab[i] = ampstr+str(i)+'$'
     pha_lab[i] = phasestr+str(i)+'$'
 
+
 labels = np.concatenate((w_lab,tau_lab,amp_lab,pha_lab))
 
 if model=='w-tau-fixed':
     labels = np.concatenate((amp_lab,pha_lab))
+    
+if model=='w-tau-fixed-m-af':
+    pha_lab[i] = phasestr+str(i)+'$'
+
+    labels = np.concatenate((amp_lab,pha_lab,mass_lab,spin_lab))
+
+
+# In[337]:
+
 
 if model=='w-tau-fixed':
     rg = (nmax+1)
+elif  model=='w-tau-fixed':
+    rg = (nmax+1)+2
 else:
     rg = (nmax+1)*2
 
 samps=f2.results.samples
 samps_tr=np.transpose(samps)
-npamps = np.empty((nmax+1)*2)
 half_points=int(round((len(samps_tr[0])/1.25)))
 
-if model!='w-tau-fixed':
-    for i in range(0,(nmax+1)*2):
+if model=='w-tau-fixed-a-mf':
+    npamps = np.empty((nmax+1))
+    for i in range(0,(nmax+1)):
         amps_aux = samps_tr[i+rg][half_points:-1]
         npamps[i] = np.quantile(amps_aux, 0.5)
-else:
+else :
+    npamps = np.empty((nmax+1)*2)
     for i in range(0,(nmax+1)*2):
         amps_aux = samps_tr[i][half_points:-1]
         npamps[i] = np.quantile(amps_aux, 0.5)
 
+
+# In[338]:
+
+
 res = f2.results
 res.samples_u.shape
 res.summary()
 samps=f2.results.samples
 
+
+# In[339]:
+
+
 evidence = res.logz[-1]
 evidence_error = res.logzerr[-1]
 
+
+# In[340]:
+
+
 summary_titles=['n','id','t_shift','dlogz','dlogz_err']
 
+
+# In[341]:
+
+
 if not eval(overwrite):
     if os.path.exists(sumary_data):
         outvalues = np.array([[nmax, simulation_number, tshift, evidence,evidence_error]])
@@ -566,9 +903,17 @@ if not eval(overwrite):
         else:
             writer.writerow(outvalues[0])
 
+
+# In[342]:
+
+
 samps=f2.results.samples
 samps_tr=np.transpose(samps)
 
+
+# In[343]:
+
+
 sigma_vars_m = np.empty(prior_dim)
 sigma_vars_p = np.empty(prior_dim)
 sigma_vars = np.empty(prior_dim)
@@ -578,9 +923,17 @@ for i in range(prior_dim):
     sigma_vars[i] = np.quantile(amps_aux, 0.5)
     sigma_vars_p[i] = np.quantile(amps_aux, 0.9)
 
+
+# In[344]:
+
+
 sigma_vars_all = [sigma_vars,sigma_vars_m,sigma_vars_p]
 sigma_vars_all=np.stack([sigma_vars,sigma_vars_m,sigma_vars_p], axis=0)
 
+
+# In[345]:
+
+
 key =['max val','lower bound','higher bound']
 dfslist = [pd.DataFrame(np.concatenate(([tshift],sigma_vars_all[i])).reshape((-1,prior_dim+1)), columns=np.concatenate((['tshift'],labels)), index = [key[i]]) for i in range(3)]
 df2 = pd.concat(dfslist)
@@ -590,6 +943,10 @@ if not eval(overwrite):
     else:
         df2.to_csv(best_data,index = True)
 
+
+# In[346]:
+
+
 if model == 'w-q':
     tau_val = np.pi*w*tau
     truths = np.concatenate((w,tau_val,npamps))
@@ -598,6 +955,12 @@ elif model == 'w-tau':
     truths = np.concatenate((w,tau_val,npamps))
 elif model == 'w-tau-fixed':
     truths = npamps
+elif model == 'w-tau-fixed-m-af':
+    truths = np.concatenate((npamps,[mf],[af]))
+
+
+# In[347]:
+
 
 fg, ax = dyplot.cornerplot(res, color='blue', 
                            show_titles=True,
@@ -607,8 +970,45 @@ fg, ax = dyplot.cornerplot(res, color='blue',
                            truth_color='red',
 )
 
+
+# In[364]:
+
+
+afdist=samps_tr[-1][::downfactor]
+mdist=samps_tr[-2][::downfactor]
+
+w_dist=[None] * len(afdist)
+tau_dist=[None] * len(afdist)
+
+for i in range(len(afdist)):
+    w_dist[i],tau_dist[i] = QNM_spectrum(mdist[i],afdist[i],2,2)
+
+for i in range(dim):
+    w_lab[i] = wstr+str(i)+'$'
+    tau_lab[i] = taustr+str(i)+'$'
+
+labels = np.concatenate((w_lab,tau_lab))
+truths = np.concatenate((w,tau))
+
+w_tau_dist=np.column_stack((w_dist,tau_dist))
+figure = corner.corner(w_tau_dist, labels=labels,
+                       quantiles=[0.05, 0.5, 0.95],
+                       show_titles=True, title_kwargs={"fontsize": 16},
+                       truths=truths,
+                       truth_color ='r')
+
+
+# In[365]:
+
+
 if not eval(overwrite):
     fg.savefig(corner_plot, format = 'png', bbox_inches = 'tight')
+    if model == 'w-tau-fixed-m-af':
+        figure.savefig(corner_plot_extra, format = 'png', bbox_inches = 'tight')
+
+
+# In[366]:
+
 
 from dynesty import plotting as dyplot
 
@@ -616,9 +1016,17 @@ lnz_truth = ndim * -np.log(2 * 10.)  # analytic evidence solution
 fig, axes = dyplot.runplot(res, lnz_truth=lnz_truth)
 fig.tight_layout()
 
+
+# In[367]:
+
+
 if not eval(overwrite):
     fig.savefig(diagnosis_plot, format = 'png', dpi = 384, bbox_inches = 'tight')
 
+
+# In[368]:
+
+
 figband = plt.figure(figsize = (12, 9))
 plt.plot(timesrd_final_tsh,gwdatanew_re_tsh, "green", alpha=0.9, lw=3, label=r'$res_{240}$')
 plt.plot(timesrd_final_tsh,dict[model](vars_ml).real,'bo', alpha=0.9, lw=3, label=r'$fit$')
@@ -633,11 +1041,20 @@ plt.xlabel('t')
 plt.ylabel('h')
 plt.show()
 
+
+# In[371]:
+
+
 if not eval(overwrite):
     figband.savefig(fit_plot)
 
+
+# In[372]:
+
+
 if not eval(overwrite):
     with open(samples_file,'w') as file:
         writer = csv.writer(file)
         writer.writerow(labels)
         writer.writerows(samps[::downfactor])
+