encoder-CT-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "75a5735d",
   "metadata": {},
   "source": [
    "## Analysis on the trained CT encoder models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ab032d80",
   "metadata": {},
   "outputs": [],
   "source": [
    "import deepSI\n",
    "from deepSI import System_data, System_data_list\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import torch\n",
    "from torch import optim, nn\n",
    "from tqdm.auto import tqdm\n",
    "import matplotlib\n",
    "matplotlib.rcParams['pdf.fonttype'] = 42\n",
    "matplotlib.rcParams['ps.fonttype'] = 42\n",
    "import os\n",
    "import pickle\n",
    "\n",
    "f_norms_num = np.geomspace(0.0001, 10, num=21)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4f2cf3b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_train_val_test(dataset):\n",
    "    if dataset=='CED':\n",
    "        data_full = deepSI.datasets.CED()\n",
    "        train = System_data_list([data_i[:300] for data_i in data_full])\n",
    "        test = System_data_list([data_i[300:] for data_i in data_full])\n",
    "        val = System_data_list([t[:100] for t in test])\n",
    "    elif dataset=='CCT':\n",
    "        train, test = deepSI.datasets.Cascaded_Tanks()\n",
    "        val, test = test[:len(test)//2], test\n",
    "    return train, val, test\n",
    "\n",
    "\n",
    "def load_data(dataset, load=True):\n",
    "    file_name = f'./encoder-model-analysis-results/re_ordered-f_norms-{dataset}'\n",
    "    if load and os.path.exists(file_name):\n",
    "        return pickle.load(open(file_name,'rb'))\n",
    "    \n",
    "    train, val, test = get_train_val_test(dataset)\n",
    "    dir_name = f'./models-encoder-CT-{dataset}/'\n",
    "\n",
    "    sys_names = [dir_name + f for f in os.listdir(dir_name)]\n",
    "    sys_names = sorted(sys_names,key=lambda x: x.split('-')[2])\n",
    "    outputs = []\n",
    "    for name in tqdm(sys_names):\n",
    "        if 'best' not in name:\n",
    "            continue\n",
    "        print(name,end=' ')\n",
    "        d = dict()\n",
    "        outputs.append(d)\n",
    "        sys = deepSI.load_system(name)\n",
    "        name = name.split('/')[-1]\n",
    "        d['name'] = name\n",
    "        if 'con' in name:\n",
    "            d['type'] = 'con'\n",
    "            d['f_norm'] = name.split('-')[-2] #is a str\n",
    "        else:\n",
    "            d['type'] = 'dis'\n",
    "        test_p = sys.apply_experiment(test,save_state=True)\n",
    "        d['test_p'] = test_p\n",
    "        d['NRMS'] = test_p.NRMS(test)\n",
    "        d['RMS'] = test_p.RMS(test)\n",
    "        if isinstance(test_p,System_data_list):\n",
    "            X = np.concatenate([ti.x[ti.cheat_n:] for ti in test_p],axis=0)\n",
    "            U = np.concatenate([ti.u[ti.cheat_n:] for ti in sys.norm.transform(test_p)],axis=0)\n",
    "        else:\n",
    "            X = test_p.x[test_p.cheat_n:]\n",
    "            U = sys.norm.transform(test_p).u[test_p.cheat_n:]\n",
    "        \n",
    "        xamp = np.mean(np.mean(X**2,axis=1))**0.5 #np.mean(np.sum(X**2,axis=1)**0.5)\n",
    "        d['|x|'] = 100 if np.isnan(xamp) else xamp\n",
    "        \n",
    "        if d['type']=='con':\n",
    "            with torch.no_grad():\n",
    "                fxu = sys.fn.deriv_base(torch.as_tensor(X,dtype=torch.float32),torch.as_tensor(U,dtype=torch.float32)).numpy()\n",
    "                d['|f|'] = np.mean(np.mean(fxu**2,axis=1))**0.5\n",
    "        else:\n",
    "            d['|f|'] = None\n",
    "\n",
    "    f_norms = set([o.get('f_norm') for o in outputs if o.get('f_norm') is not None])\n",
    "    f_norms = sorted(f_norms,key=lambda x: float(x))\n",
    "\n",
    "    from collections import defaultdict\n",
    "    re_ordered = defaultdict(list)\n",
    "    print(re_ordered)\n",
    "    for d in outputs:\n",
    "        for f_norm in f_norms:\n",
    "            if d['type']=='con' and d['f_norm']==f_norm:\n",
    "                re_ordered[f_norm].append(d)\n",
    "\n",
    "    for d in outputs:\n",
    "        if d['type']=='dis':\n",
    "            re_ordered['dis'].append(d)\n",
    "    \n",
    "    out = re_ordered, f_norms\n",
    "    pickle.dump(out, open(file_name, 'wb'))\n",
    "    return out\n",
    "    \n",
    "def get_lyapunov(dataset,load=True):\n",
    "    file_name = f'./encoder-model-analysis-results/lyap-{dataset}'\n",
    "    if load and os.path.exists(file_name):\n",
    "        return pickle.load(open(file_name,'rb'))\n",
    "\n",
    "    train, val, test = get_train_val_test(dataset)\n",
    "\n",
    "    out = [(i,deepSI.load_system(f'./models-encoder-CT-{dataset}/dis-{i}-best').apply_experiment(test).NRMS(test)) \\\n",
    "           for i in range(500) if os.path.exists(f'./models-encoder-CT-{dataset}/dis-{i}-best')]\n",
    "    print(out)\n",
    "    ibest = min(out, key=lambda x: x[1])[0]\n",
    "    sys = deepSI.load_system(f'./models-encoder-CT-{dataset}/dis-{ibest}-best')\n",
    "\n",
    "    test.plot()\n",
    "    sys.apply_experiment(test).plot()\n",
    "    plt.legend(['test','test sim'])\n",
    "    plt.show()\n",
    "\n",
    "    from deepSI.utils import get_lyapunov_exponent\n",
    "    dt_lyapunov = get_lyapunov_exponent(sys, test[0] if isinstance(test, System_data_list) else test)\n",
    "    dis_lyapunov = np.exp(dt_lyapunov)\n",
    "    tau_dt = -1/dt_lyapunov\n",
    "    \n",
    "    print('dt_lyapunov=',dt_lyapunov)\n",
    "    print('dis_lyapunov=',dis_lyapunov)\n",
    "    print('tau_dt=',tau_dt)\n",
    "\n",
    "    out = dt_lyapunov, dis_lyapunov, tau_dt\n",
    "    pickle.dump(out, open(file_name, 'wb'))\n",
    "    return out\n",
    "\n",
    "    \n",
    "def full_analysis(dataset,load=True):\n",
    "    train, val, test = get_train_val_test(dataset)\n",
    "    \n",
    "    re_ordered, f_norms = load_data(dataset,load=load)\n",
    "    dt_lyapunov, dis_lyapunov, tau_dt = get_lyapunov(dataset,load=load)\n",
    "    \n",
    "\n",
    "    f_norm = f_norms[0]\n",
    "    names = f_norms + ['dis']\n",
    "    NRMS_data = [[z['NRMS'] for z in re_ordered[name]] for name in names]\n",
    "    NRMS_data = [[2 if np.isnan(zi) else zi for zi in z] for z in NRMS_data]\n",
    "\n",
    "    RMS_data = [[z['RMS'] for z in re_ordered[name]] for name in names]\n",
    "    RMS_data = [[10. if np.isnan(zi) else zi for zi in z] for z in RMS_data]\n",
    "    \n",
    "    ampx_data = [[z['|x|'] for z in re_ordered[name]] for name in names]\n",
    "    ampf_data = [[z['|f|'] for z in re_ordered[name]] for name in names]\n",
    "    ampf_data[-1] = []\n",
    "    \n",
    "    return RMS_data, NRMS_data, ampx_data, ampf_data, names, dt_lyapunov, re_ordered, train, test, val\n",
    "\n",
    "def visualize(NRMS_data,ampx_data,ampf_data,names,dt_lyapunov,ylims=[(0.1,1.0),(0.4,6),(0.1,10)]):\n",
    "    best_id = np.argmin([np.median(z) for z in NRMS_data])\n",
    "    for data,ylabel,ylims,hline in zip([NRMS_data,ampx_data,ampf_data],\\\n",
    "                                 ['NRMS','|x|','|f|'],\\\n",
    "                                 ylims,\\\n",
    "                                 [False, True, True]):\n",
    "\n",
    "        lap_id = np.log(-dt_lyapunov/f_norms_num[0])/np.log(f_norms_num[1]/f_norms_num[0])\n",
    "        plt.figure(figsize=(19,4))\n",
    "        plt.boxplot(data,labels=names)\n",
    "        plt.ylim(*ylims)\n",
    "        plt.ylabel(ylabel)\n",
    "        plt.vlines([lap_id],[ylims[0]],[ylims[1]],'r')\n",
    "\n",
    "        plt.vlines([best_id+1],[ylims[0]],[ylims[1]],'k')\n",
    "        xlim = plt.xlim()\n",
    "        if hline:\n",
    "            plt.hlines([1.0],[xlim[0]],[xlim[1]])\n",
    "            plt.xlim(*xlim)\n",
    "        plt.ylim(*ylims)\n",
    "        plt.semilogy()\n",
    "        plt.grid()\n",
    "        plt.show()\n",
    "\n",
    "\n",
    "def box_plots(NRMS_data,ampx_data,ampf_data,names,dt_lyapunov,dataset,ylims=[(0.1,1.0),(0.1,10)],title=''):\n",
    "    ampf_data = [np.array(z)[np.isfinite(z)] for z in ampf_data]\n",
    "    \n",
    "    z = 0.8\n",
    "    plt.figure(figsize=(9*z,3.5*z))\n",
    "    \n",
    "    xmeans = [np.median(z) for z in ampx_data]\n",
    "    lap_id = np.log(-dt_lyapunov/f_norms_num[0])/np.log(f_norms_num[1]/f_norms_num[0])\n",
    "    best_id = np.argmin([np.median(z) for z in NRMS_data])\n",
    "    \n",
    "    names_small = names[:]\n",
    "    names_small[1:-1:2] = ['']*len(names_small[1:-1:2])\n",
    "    names_small[0] = names_small[0][:-1] #manually set the labels for the box plot\n",
    "    names_small[2] = names_small[2][:-1]\n",
    "    names_small[4] = names_small[4][:-2]\n",
    "    names_small[6] = names_small[6][:-2]\n",
    "    names_small[8] = names_small[8][:-3]\n",
    "    names_small[10] = names_small[10][:-3]\n",
    "    names_small[12] = names_small[12][:-4]\n",
    "    names_small[14] = names_small[14][:-4]\n",
    "    names_small[16] = names_small[16][0]\n",
    "    names_small[18] = names_small[18][0]\n",
    "    names_small[20] = names_small[20][:2]\n",
    "    \n",
    "    for i in range(2):\n",
    "        plt.subplot(2,1,i+1)\n",
    "        if i==0:\n",
    "            plt.title(title)\n",
    "        plt.boxplot(ampf_data if i==0 else NRMS_data,labels=names_small if i==1 else ['']*len(names_small))\n",
    "        plt.semilogy()\n",
    "        if i==0:\n",
    "            plt.plot(np.arange(len(xmeans))+1,xmeans,'o--',label='RMS($x$)')\n",
    "            plt.legend()\n",
    "        plt.grid()\n",
    "        plt.ylim(ylims[1-i])\n",
    "        \n",
    "        plt.ylabel(r'RMS($f$)' if i==0 else 'RMSE')\n",
    "        if i==1:\n",
    "            plt.xlabel('$\\\\Delta t/\\\\tau$')\n",
    "\n",
    "        ylim = plt.ylim()\n",
    "\n",
    "        plt.ylim(ylim)\n",
    "    plt.tight_layout()\n",
    "    plt.savefig(f'figures-for-paper/box-plot-{dataset}.jpg',dpi=300)\n",
    "    plt.savefig(f'figures-for-paper/box-plot-{dataset}.png',dpi=300,transparent=True)\n",
    "    plt.savefig(f'figures-for-paper/box-plot-{dataset}.pdf')\n",
    "    plt.savefig(f'figures-for-paper/box-plot-{dataset}.svg')\n",
    "    plt.show()\n",
    "    \n",
    "def test_p_plot(names,RMS_data,re_ordered,test,dataset,xlim=(0,300),title=''):\n",
    "    best_name = min(list(zip(names,RMS_data)),key=lambda x: np.median(x[1]))[0]\n",
    "    best_data = re_ordered[best_name]\n",
    "    best_name = '($\\\\Delta t/\\\\tau = 0.32$)' if best_name[2]=='3' else '($\\\\Delta t/\\\\tau = 0.018$)'\n",
    "    best_name = 'Models \\n' + best_name\n",
    "    z = 0.8\n",
    "    \n",
    "    \n",
    "    if not isinstance(test,System_data_list): \n",
    "        plt.figure(figsize=(9*z,2*z))\n",
    "        plt.title(title)\n",
    "        for i,b in enumerate(best_data):\n",
    "            plt.plot(b['test_p'].y,'r--',alpha=0.7,label=None if i>0 else best_name)\n",
    "        plt.plot(test.y,'k',label='System')\n",
    "        plt.legend(loc=(1+0.015,0.0))\n",
    "        plt.grid()\n",
    "        plt.xlim(xlim)\n",
    "        plt.xlabel('Index time')\n",
    "        plt.ylabel('$y$')\n",
    "    else:\n",
    "        plt.figure(figsize=(10*z,2*z))\n",
    "        axes = [plt.subplot(1,2,1),plt.subplot(1,2,2)]\n",
    "        for i,b in enumerate(best_data):\n",
    "            l = 0\n",
    "            for ax,bi in zip(axes,b['test_p']):\n",
    "                ax.plot(np.arange(0,len(bi)),bi.y,'r--',alpha=0.7,label=None if (i>0 or l==0) else best_name)\n",
    "                l += len(bi)\n",
    "        l = 0\n",
    "        for ax,ti in zip(axes,test):\n",
    "            ax.plot(np.arange(0,len(ti)),ti.y,'k',label='System' if l>0 else None)\n",
    "            l += len(ti)\n",
    "        axes[0].set_ylabel('$y$')\n",
    "        axes[0].set_xlabel('Index time')\n",
    "        axes[1].set_xlabel('Index time')\n",
    "        axes[0].grid()\n",
    "        axes[1].grid()\n",
    "        axes[1].set_yticklabels([''])\n",
    "        axes[0].set_title('(b.1) CED set 1')\n",
    "        axes[1].set_title('(b.2) CED set 2')\n",
    "        axes[0].set_ylim(axes[1].get_ylim())\n",
    "        plt.legend(loc=(1+0.015,0.0))\n",
    "    \n",
    "    plt.tight_layout(pad=0.0)\n",
    "\n",
    "    \n",
    "    plt.savefig(f'figures-for-paper/test-p-{dataset}.jpg',dpi=300)\n",
    "    plt.savefig(f'figures-for-paper/test-p-{dataset}.png',dpi=300,transparent=True)\n",
    "    plt.savefig(f'figures-for-paper/test-p-{dataset}.svg',transparent=False)\n",
    "    plt.savefig(f'figures-for-paper/test-p-{dataset}.pdf')\n",
    "    \n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ded4e7a4",
   "metadata": {
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      "./models-encoder-CT-CED/con-0-0.00010-best ./models-encoder-CT-CED/con-0-0.00018-best ./models-encoder-CT-CED/con-0-0.00032-best ./models-encoder-CT-CED/con-0-0.00056-best ./models-encoder-CT-CED/con-0-0.00100-best ./models-encoder-CT-CED/con-0-0.00178-best ./models-encoder-CT-CED/con-0-0.00316-best ./models-encoder-CT-CED/con-0-0.00562-best ./models-encoder-CT-CED/con-0-0.01000-best ./models-encoder-CT-CED/con-0-0.01778-best ./models-encoder-CT-CED/con-0-0.03162-best ./models-encoder-CT-CED/con-0-0.05623-best ./models-encoder-CT-CED/con-0-0.10000-best ./models-encoder-CT-CED/con-0-0.17783-best ./models-encoder-CT-CED/con-0-0.31623-best ./models-encoder-CT-CED/con-0-0.56234-best ./models-encoder-CT-CED/con-0-1.00000-best ./models-encoder-CT-CED/con-0-1.77828-best ./models-encoder-CT-CED/con-0-10.00000-best "
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-12-08ec62d10308>:49: RuntimeWarning: overflow encountered in square\n",
      "  xamp = np.mean(np.mean(X**2,axis=1))**0.5 #np.mean(np.sum(X**2,axis=1)**0.5)\n",
      "D:\\Programs\\anaconda3\\lib\\site-packages\\numpy\\core\\_methods.py:178: RuntimeWarning: overflow encountered in reduce\n",
      "  ret = umr_sum(arr, axis, dtype, out, keepdims, where=where)\n",
      "<ipython-input-12-08ec62d10308>:55: RuntimeWarning: overflow encountered in square\n",
      "  d['|f|'] = np.mean(np.mean(fxu**2,axis=1))**0.5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "./models-encoder-CT-CED/con-0-3.16228-best ./models-encoder-CT-CED/con-0-5.62341-best ./models-encoder-CT-CED/con-1-0.00010-best ./models-encoder-CT-CED/con-1-0.00018-best ./models-encoder-CT-CED/con-1-0.00032-best ./models-encoder-CT-CED/con-1-0.00056-best ./models-encoder-CT-CED/con-1-0.00100-best ./models-encoder-CT-CED/con-1-0.00178-best ./models-encoder-CT-CED/con-1-0.00316-best ./models-encoder-CT-CED/con-1-0.00562-best ./models-encoder-CT-CED/con-1-0.01000-best ./models-encoder-CT-CED/con-1-0.01778-best ./models-encoder-CT-CED/con-1-0.03162-best ./models-encoder-CT-CED/con-1-0.05623-best ./models-encoder-CT-CED/con-1-0.10000-best ./models-encoder-CT-CED/con-1-0.17783-best ./models-encoder-CT-CED/con-1-0.31623-best ./models-encoder-CT-CED/con-1-0.56234-best ./models-encoder-CT-CED/con-1-1.00000-best ./models-encoder-CT-CED/con-1-1.77828-best ./models-encoder-CT-CED/con-1-10.00000-best ./models-encoder-CT-CED/con-1-3.16228-best ./models-encoder-CT-CED/con-1-5.62341-best 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dt_lyapunov= -0.1353386080037923\n",
      "dis_lyapunov= 0.8734201145697583\n",
      "tau_dt= 7.388874577252776\n"
     ]
    },
    {
     "data": {
      "image/png": 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4PfIJzB7SBqeu5+NQ8t8Y3LcHqhTAlM1nsfFEFkZ09EF4YA3VK+o5CoxZYmdnB0AV+Do5OaGkpAR79uzB6NGj4erqirKyMvTr18+i2VSH0luqnObbS4HbhsfDXQD8s8fg8bYAhr/ugkultwCYv/FJ06aq8iuTJ0/WeVy7Eoafn59BpQxCCCGENFzHrt5HQVkV2rRwxYxBT0IkFKBHiCcKLjHoEeIJiUSCmHA/JJ67i/cSzmPf231gL26Ya40oMGZJcHAwAEAsFiM8PBwymQyFhYXo1asXJBIJTp06BcCy2dQKl0CEry/FTz/9hLahoTrHZHI5Tpw4gd69e0Mi1n1bL12+jPHjx2PD8ECz+lXnNVdVVeGdd97Bl19+ic6dOyMiIgLff/89XnnlFaSkpCAtLQ3Tpk3Dv//+C4CdvGY+Ua1mQgghBIgJ94evhyPcHCTVBrwLRoQh6ep93H5UjvS7RYgIapiL8CgwZknfvn0RHByMxYsXY/fu3TrHlEollixZgpCQEItmU8uqlEjNU+LEjVJIPZQ6x0pLy7H3n5sQ+nWBi4tupYxLuQqk5inBiE0voXL90gWMGdhZ57HOLQRA7r9I2fcvungLkbJvo+bxhK8WIOGrBZq2lpSk41NiYiJmzpyJmzdvAlDVag4KCsLKlSupHB0hhJBG56mWNW/a0cTZDl+NDYevhwOCmjpzdFbso8CYJSKRCCtWrEBsbCyio6Mxe/ZsSKVSnD59GsuXL8e+ffuQkJBg0Yzj5cuXAQCvvvpqtW30N/jQZk7pNlnuRYtK0l3KvQhYEBiXl5drxq2f06wWGhoKJyen6l7CZImJiXjuuefg6Oio83h+fj6ee+457Ny5k4JjQgghNo1hGCw5cBljuwcixKtugW5D3vFOjQJjFsXExCAhIQFxcXHo16+f5vGQkBBWNr6Ijo4G8DgQlEqlmt3nMjMzER8fj0WLFuGJJ57QPCc4OBiOjo5mpzU8EnkhfH0pFixYgFC99I26LPgzN31D7fLly4iIiNB5TD/4T0lJQXh4uEX9qCkUCrzxxhsAgKeffhrvvfeeZhOTzz77DPv27cP//vc/qtVMCCHEpm09fRPfJt3AjjM38fVwLziIhTpxh0KhQFpaGoqKinT+HqrjjptlYsgcm+CFrgE8jcA8FBizLCYmBqNHj8aRI0dw4MABDBs2jLXcVC8vL7zyyiuar8+dO4cJEybotImPj9f52tKgMeNaNlLzlIiZvqj6Riu2VHvIpUkzk/vUrtUslUqxdetWANUH/1KplJVttgHg6NGjuH//Pvr06YM9e/bobGKyZ88eREZG4vjx4zh69Cieftr0OtSEEEJIfZf9oAyL96vu1mbtW4fei34z6fl2vm3gM3EF7ER30DWoCVo2M//OM9coMLYCkUiEyMhIlJWVITIy0mozi6GhoUhJSQEAgyoY2m0soT1LffPmTYNAXN/WrVvRtm1bAOYtvqtLrWb94F+bpbWajx49CgBYtGiR0U1M4uPjMWjQIAqMCSGE2CSFksGsX/+FVKZA++Z2+D1ln+Zvu7EZ486dOxvMGGdlZSPut3NASDjmJl7A9lefgrCBbPxhlcBYJpMhLy8P5eXlaNasGTw9G+bKxPrOyclJMxusXwWDLdqz1OHh4ZpAHDAejFua78t3rWaZTAZAFaB7eHgY5DVfu3bN7NcmhBBC6rvvkm/g7M1HcLEX481u7vgdDNq2bauJN3r37g1A9ffS3d0dw4cPN4g7HB0dUTB9Jlq9tQlnsh7ipzO3MPGpIM7HYg7WAuPSUlUZsW3btuHMmTOorHy8ZaC/vz8GDx6M1157TWfzC9KwaAfigJWC8QdXea3VrC67p84zVtPPa2Zzy2s+FhgSQggh+i7nFWPloasAgA9HhqG58L7Zr6Uozsf4Dq7YkFqMpfsvYWBoc/h5ONb+RJ6xEhivWrUKn376KYKDgzFq1CjMnTsXfn5+cHR0xMOHD5Geno7k5GQMGjQITz31FL766qsGXd+WWE/anXJMXV9q9vN/GdPOrOep85rDwsLg5uaG4uJidO7cGV27dtXUaj579izS0tLQpEkTuLm5sZbXzPUCQ0IIIcSYb5NuoEqhxDNtm+P5CH+kppofGAPA0CeckPZQhJSbj/D+rgvYNLkbBIL6nVLBSmB8/PhxHDlyBB06GC/L1b17d0yZMgXffPMNNmzYgGPHjlFgTIwaGfMCFEI7zQzppUuX6pzX7OrqilZm/Fzp12p+wgmAkxDIO4+Ufec1tZoFALp4CwEU4fVRT2naW1qrWTtXPD09HZMmTcLmzZvRvn17nTZs0Z6hBozPUtMMNSGEND5LYzqipZczXugWwEoAKxIK8NlzHTD8i+M4euU+kq89QL/Wpi/K5xIrgfFvv/2GdevWAQAmTZqEdevWwdnZsOadvb09pk2bxkaXxEbpV95QB40KhQInTpzAoUOHMHjwYPTu3VuT7G9pEMd3rWbtFBW5XA5ANSZrzRAbm6EGdGeprTVDTbsJEkJI/WUnFuLNgexOXLZq7or5w0Ph5ihB3ye9WH1ta2AlMPbz80NqaiqGDh2KrVu3Yvny5UYDY0JM5eTkhOzsbMTFxWlWwh44cADBwcFYsWIFKxttVFerWalU4t9//8WpU6fQs2dPdOrUCUKhUHPcklrN2iXptKlnci9fvgyx2PDXk43UDe0ZasD4LDWbM9RqiYmJOu/jypUrWX0fCSGEmK5CpsDW0zfxUs9g2ImFtT/BDJN7h9TeqJ5gJTCeNWsWRo0aha5duwIAfvrpJ/Tu3RsdOnQw2D2MEFMkJiYiNjYWUVFR2LJli2azjWXLliE2NpaVjVPqUqt5zc7kao+ZWqu5LiXpJk2aVO0xS0vS6S+i5GKWmov3kRBCiOk+O3gZm05k41RmATZMtn6BhCKpDDcLytDR38PqfZmDlcB4+vTp6N+/P/bs2YPTp09j7dq1mD17NgQCAVq1aoVOnTqhc+fO6NSpE4YNG8ZGl6QRUCgUiIuLQ1RUFHbv3q2z2cbu3bsRHR2NWbNmWbwLnf6Ogtqqy/lVM2cGl6+SdHzNUnP1PhJCSGNlbpraycwH2HQiGwAwsaf1y6ldySvBxA1/gwHwfzMi4e7EXnlZtrBWrq1du3Zo164dNm7ciNOnT8PZ2Rnnz59HWloa0tLSsGfPHnz66adG/zATYkxycjKys7Oxbds2o5ttzJs3D7169UJycrJF5dP085q1WWU2lYeSdHzOUnP1PhJCSGNkbppaSYUMs389DwAY1yMQ/ds0t/q5BjV1gou9GDcelOHT/RlYFtvJ6n2aivUNPq5fv675/x49eqBHjx6arxmGYbs7YsNyc3MBwOhMrfbj6nZs0K/YYGw21dLFfnyUpFN/INXemVCttLRUM3Pr4qK7CFFdFcSSD7R8vI+NDS1qJKRxsiRN7eN9GbhbKEWApyPmD29rtA3bHCQifBbbEc9/cwq/nL2DUZ380KeeLchjJTC+desWAgNrX4CkLv1x9+5d+Pn5sdE1sWE+Pj4AVOkMTz31lMHx9PR0nXZsqK5ig/ZsqqUVG/RL0mlvsZmZmYn4+HgsWrQITzzxhOY5wcHBcHR0NLsknUBegS7eQoT7iNDWW3dxhUzuBGW3IPQMdoJEb+GFY6EIXbyFEMgrTB/of/h4HxsTWtRISONkSZra/2Xcwy9n70AgAFY83xku9lbZCNmobsGeeKlnEH48dRNzE8/j0Ix+cLLjrv/asHIm3bp1w6hRo/Dqq6+ie/fuRtsUFRXhl19+wRdffIHXX38db731FhtdExvWt29fBAcHY/Hixdi9e7fOMaVSiSVLliAkJAR9+/ZlrU/9ig3VbXttCf3UjXPnzhnUao6Pj9f52uLyaer0jaTXgSTdQxIA/QHgiuHT2gI4Z+GOgn379kVQUBDee+89rFixAmVlZZq6yc7OzpoNgYx9IDFXY6nVrJ4tGjFiBGbOnImrV6+idevWOHToEC1qJMTGmZumplAy+Pj3DADAK31C0D3Ek+tTx5yhofjzUj7uPJJi+R9XED/SvM25rIGVwPjSpUtYvHgxhg4dColEgq5du8LX1xcODg549OgRMjIycPHiRXTt2hXLly+nBXikTkQiEVasWIHY2FhER0dj9uzZkEqlOH36NJYvX459+/YhISGB1VvGnGx7rUc7GDcWiKvbWIKP9A3txX7R0dH44osvdLaE19/db+/evZo0D3MX/Kn7rG5jGO0+tdNK2CiDxzX1bFFERATS09Oxb98+zbHg4GBERETQokZCbJh2mpqxdKrq0tREQgE2v9wdX/11HXGD23B+3gDgYi/G4pgOmLTxDH44mY2ojr6ICGrCy7noYyUw9vT0xOeff45PPvkE+/fv13yKkUql8PLywvjx4zFkyJBqcwwJqU5MTAwSEhIQFxeHfv36aR4PCQmxmdkw7WDcWoG4fvqGtrpU3jA1faMui/306Qeypi74M7VPS/vTpz1LbWyGGmB3llp9nb1586bR/MJ9+/aBYRha1EiIjVKnn61Zswbr1683SKd67bXXdNppC/ZyxooX+F34Ftm6GZ4L94eSYdDSq/7sfcFqUoeDgwNiYmJsIlgh9UdMTAxGjx6NI0eO4MCBAxg2bBgtLjKRdvqGfpqBMZYGcNUt9lMoFDh58iT++OMPDBkyBL169TJ4H81d8MdXGTw1Y/np+rPibO4oePfuXQDA0KFDjeYXRkVF4cCBA5p2hBDb0rdvXzRr1gzz5s0z+HD82WefYf78+WjevLkm3fBecQWyH5ShR8umPJ/5Y5891wFikXU2FTFX/cl2JqQGIpEIkZGRKCsrQ2RkJAXFFuBigWH1i/2E6Pxsb3RqDvTu3RsSI3WTzV3w51B6i5cyeOoAXiqVYuvWrQCqX0QplUpx7tw5AJanb9y/fx+A6oOjsfzC6OhoHDhwQNOOEGJ71EUNgMeVv4xVAGMYBnMSziPp2n0sGtUOL/UM5uoUa6QdFDMMg+IKOdwd+a1tzFpg/Pfff+Phw4c6+cM//vgj4uPjUVZWhujoaHz11Vewt7dnq0tCiBm4WGBo7mI/wPwFfxUugQhfX4qffvoJbfXOXyaX48SJE0aD8UuXL2P8+PEmb+1dl9QN/UWU+ixJ32jWTLXjYmJiIqZMmaJzTKlUahasqtsRQmxLcnIy8vPzsWTJEqxfv94g3XDx4sWYP38+kpOTkePYEseu3oedWIie9WjGWC2/pALzE9ORVyzF7mm9eZ1FZi0wXrhwIfr3768JjC9cuICpU6di8uTJaNu2LZYvXw5fX18sXLiQrS4JIWbgYoGhpYv9ANMX/JVVKZGap8SJG6WQeih1jpWWlmPvPzch9OtiWKs5V4HUPCUYsYNJ/ZmbugGwk77RtKnqj9uBAwcwYMAAjBkzBhkZGbh79y527NiBpKQknXaEENuiXlT35ptvYvbs2QbphuXl5Zg/fz4uZudh7Q3VHbg5Q9rgyRauNb0sb85kFaC4Qo7vkrPwv/5P1P4EK2EtME5LS8PHH3+s+Xr79u3o0aMHvvvuOwBAQEAA4uPjKTAmpBGwZLEfYN6CP3Xe9KuvvlptG/2cX/0+TWLmDoaAZekbatoBb1JSkiYQrqkdIcR26NeI1083TE9PBwRC7LnnjvIqBbqHeGJK75BaXpUfzV0dsCAqDLMTzmPV/13FkHYt0LKZS+1PtALWAuNHjx6hRYsWmq+PHTuGoUOHar7u1q0bbt828teDEGJzON9mG6qScOrXNafyhqkpDXzMigOP85qrqqrwzjvv4Msvv0Tnzp3h4+OD/fv3Y/jw4cjNzUVaWhrefvttVFVV4dy5cw2yJB0hDRFXO1HWpdZ/8ODJuPpICWc7EVY83wlCocD4i9UDsRH+2PtvDpKvPcDcnRew/bWneDlf1gLjFi1aICsrCwEBAZoL8aJFizTHS0pKrFYHlhBSv2lXwjC2zTZgeSUMritv8DErfv3SBYwZ2Fnnsc4tBEDuv8jN/RddvIXIPXdQ83jSjq+QtOMrTdtf/kpDq7YdTOqTEFJ3XO5EWVut/wNJfyPofxsgZ4APosIQ4Fm/NzQSCARY/GwHDFmdhDPZD/HT3zcxkYdFgqwFxkOHDsXcuXPx2WefYffu3XByctLZkez8+fM6q7MJIY2HsUoY2lUwAHZLmXFReYOPWXFZ7kVV+oaZLuVeBCwIjLmu1aytqqoKX331Ff766y9cv34db731Fuzs7FjvhxBzqXeiNFZX3Fo7UdZU63/7hq/BBHfGsav38WK3AFb7tZYATye8NzQU8XsvYumByxjYtgX8PBw5PQfWAuNPPvkEMTExiIyMhIuLCzZv3qxz0dq4cSMGDx7MVneEkAaEi939quuvuj7Z7I8rj0ReCF9figULFhicf11qNZtaeQPQLUlnbEdB/bxta+woOGfOHKxatUrzgWP//v2YO3cuZsyYgWXLlln8+oRYSr0TZVRUlNG64tHR0VbbibK2Wv+xEf6s9mdtE58Kwm//5uBeSQUKSisbbmDcrFkzJCcno6ioCC4uLgZv/K+//mqwGpwQwi+FksHfWQ+R8kCAplkP0bNVc4iskNOlroShUDI4dT0fLu2KIPIJRScr96fGxdbeXKSLZFzLRmqeEjHTF1XfaMWWag+5NDGtdBsfOxjqmzNnDpYvX44WLVpg0aJFsLe3R2VlJeLj47F8+XIAoOCY8E69E+W2bduM1hWfN28eevXqZb2dKAVCOAR2gHNYOR66PYlCqRxNXSwPwNU16R0LrwI5eiXU5HK4l2cDuf8CemUwHQuvmlWPHgCEQgG+GtcF7o4SONlxv90G6z26u7sbfdzT05PtrgghFjiYnotFv2Ugt6gCgAg/XjsLH3cHxI8Mw9D2hluINrT+uMZFugjXCwzv59xEF28hJkyYYFCSrrS0FKdOnULPnj2NTnrk5ubi+++/t6gkXVVVFVatWoUWLVrgzp07YBhGs8Bw6tSp8Pf3x6pVq/DJJ59QWgXhlbp0WnVrCtSPq9uxSf/aimvpEO5Kx5yhoXgj0rIUVs3GSSbWpDe3Hr2ajzu3s8TaWAuM9QvMV2fjxo1sdUkIMdPB9Fz8b+s56O+PlFdUgf9tPYevJ4SzGqxy3R8fuEgX4Tqv+d7F4//lNO8G8g2PT+wEoDwdKDfyZBEw7XUX3GIKzO5/3bp1kMvl+OSTTyAWiyGTyTTHxGIxPvroI7z++utYt24d3n33XbP7IcRS+qXT9KWnp+u0Y0t111YlA3x24DKCmzpZdG3leuMkfUolgy2nbyL9bhGWP9/JoteqK9YC4x9++AFBQUHo0qWL0e0ICSE14yqtQaFksOi3DIMLKQAwAAQAFv2WgUFh3qz0z3V/fNFO3+AidYMLfZ+dil27gODgYDg46G6AkpmZiQ8//BAfffRRtQurnZ2dEdjlabP7V6ekBAYG4ty5cwYL/oKCgnTaEWIMF9fWupROCwkJ0SlKYKmarq1qll5bGbEDUvOUkHq0Bnw76x6UyVDkdBfw6QToXeekeUqzNk7Sl3m/FB/ty4BCyWBAm+ZwcxBa/W8ka4HxG2+8ge3bt+PGjRuYMmUKJkyYUC/SJ/bt24e4uDgolUq899571c62EKKPq0AV4CbNgGEY3HhQhuPX7v/XTzXtAOQWVWDaTylwc5BAyQBKhvnvn+oTfFBTJ8wZ+nj2YOaONDwoqwLDMFAodds6SER16u9M1kP0fII2o6gr/ZJ01shr9vIJwLPTFho9VuJyBql5H6B5p0Fo2727Wa9fG2dnZwDAkCFDdB7XX/CnbkfqPy6vqwB3KVy1lU7bt28fEhISWF14dybroc1fW59s4YrX+7XEuqOZeHPbOSgZwNqpeKwFxuvWrcOqVauQmJiIjRs3Yt68eRgxYgSmTp2KwYMHQyDgfiZILpdj5syZOHLkCNzc3BAeHo6YmBjWA3aFQqFziw9QzRiJxWJUVFToJOFbC9f9KZQM0m4W4EqJBF7X76FzUFOrz/bVNEaJRMLqBYfLfFhT0wyUSkZT9FypZPDHxTw8KpfhUXkVHpVV4VG5DIXlVXhYXoWOfu5YNPpxztuQVUmQK+t2R+f4tQcoqzL+s9TJX3ctwekbBcip5gLt7WZfp/7e3ZGKwWHe+DjaeI4e0VWXknQAu2XwuFhgCDyuhBEVFYXVq1fDxcUFX375JW7evIn4+HgsWrQIQUFBePvtt1FaWoqoqCjaxMRMtjYBoN8flylc6tJpM2fNwqDx0yFyaQJF6SP4SMrMLtWmVDK4V1KBrAdlyH5QjqwHpaiUK/HR6PbIL6nbwra6tquvQr1V6Wj6f7qs9T6yuvjO3t4eY8eOxdixY3Hz5k388MMPmDZtGmQyGTIyMjivSnHmzBm0a9cOfn5+AIDhw4fjjz/+wNixY1l5fYZhkJeXh8LCQqPHvL29cfv2bU4+FHDZn7RKgSKpDHIlgy4tvVH+KB9niu7D3VECRzv2d/cBAIYBKuUKeDb3xvWsm7AXi6A/TA8PD3h7e1s8fmteTBmGQaVcibJKOcqrFCiukOH9XenVphkAwDvb0/Bk8+solMrwqKwKfZ70wvqJXQEAAgHw1rbUaoNdiejxKmKBQIDApk4orZAjv6Sy1nONCfeHr4cjhAJAKBBAKBRo/r+Zq26w+0FUGCpkCggFAggEgEgoUD1HANx+KMWn+y/V2t+94kpcz9fdSW7ihr/h4WSH9r5u6ODnjna+7nB3Mi01gesZKq7UpSSduh1buFhgqL+JSafmAFCKL+aq1rF08RZi99eqqhxPOAFwAuLGPaNpz+YmJlz/7NjqbKq6L2sGqQzDQCpT/W0qlsrxqLwKC2tI4QKABXsuIiLIE02cJBCLhEZams6pdU94v/ItUPz4GtvCzR5Oravf5ZJhGBSWy9DE+fEC0sX7LyHp6n1kF5ShQqbUaW8nFmLhyHZo7lq3NIW6tquPFEoGSw4YT5WyViqe1epgCAQCCAQCMAwDpVJZ+xOMSEpKwvLly5GSkoLc3Fzs2rVLsypbbd26dVi+fDlyc3PRrl07rF69WpPDk5OTowmKAcDf3x937941e0z61EFx8+bN4eTkpBOQKZVKlJaWwsXFBUIhO79w1WEYBuVVcpSWSeHi7AgnO7HVguOSiirkFFbA03jxEXh5OMDVgd3V4SUVVcgvroJQqYR6HooRCtHMzQ6uDnaq8ZeXIz9ftTrIksUNteXDAo9/CeVKJXb8cxullXKUVypQVqX13yoFIoKaYPqAVgCAKrkSEZ8cRnmVAoo6ztiqVcqVSM8p1nz9qPzx3QmBQIDI1s0gEAjQxEmCJs528HCSwNPJDh5Odgb1H/+K6w+FkkGfz/5CXlGF0XEKAHi7O2DhqHZ1vtAM71D991yhZLDxRFaN/TV3s8fi6A6wlzz+YFVULkPytQcAgN/+zdE8HujphPZ+bhgY2qLW+py2XAmDj5J06mBcoWSQcqsQf548i6d7dUVEoIfmZ8XSQLwkK6VebGJy+o4UG1KLUSBVQv2z09RRiKld3DD5mS6sb2Jiy7OppqwzKKmQoaCsCsVSGYor5P8FujIUSWUoqZDjvaFtNH/fluy/hEMZ9zRt6no3TO1+SSW6ffp/AIBT8wZqKiFsP3MLp24UoImTHdwdJZprq+r/7RDq4wp7seEkUHXf03vFlfjf1nP4/PmOCPZyQfaDMmQXlCHrgerfzYJyyJVKZCwaqrkbePthOS7nqeqHi4UCBHg6IbipE0K8XBDi5QSZUonuIZ7wcXeo9VrePYT/tFZz8ZEuwmpgXFlZqUmlOH78OKKiorBmzRoMHTrUrOCwrKwMnTp1wssvv4znnnvO4PiOHTvw7rvvYt26dejduzfWr1+PYcOGISMjA4GBgUYXAbIVMCoUCk1Q3LSp7pvBMAxKK+WQCeygEErgaG+9QLVIqgpUZQolADsUlSggETHw9XCAuyO7ASrDMMh6VAWBuPrXfSAFvNztWRtvkbQKuaVKQCiGQOtHSAEgt1QJO3sh3B3t4OiouqDl5+ejefPmOmkVSiWDh+VVKJLKUFiuuoAWSqtQVC5DkVSOUB9XDGnnDQD489K9Gn8Jgce/hF0CPfDhnovVthNrBZUSkQBSvaDYUSKCWAiUVNae+vJa3xAM7eCDJk528HTW/f5vmNyt1udrEwkFiB8Zhv9tPQcBoHNBVZ9x/Mgw1j5916W/RaPa4emwFjrPc7AT4scp3XHhbhEu5hThwt0i3H4oxa2H5bj1sBzujhJNYFwpV+Dtbalo5+uODn7uaO/njpSbD22+EgbXnJyckG/n8ziAE7fHP2cq4HOlkLUALu1OOaauLzU8IBDCrkVLiBzdoJAWo+reDYAxnHT5ZUz1M3N1cfnyZfQZ+yaaRc9Xdat1LXtQLsdnJx4BSMW0Ub0t6kcbF0GqUsmgtEqOYqkMj8pkmF/LnarZv57XBGZKJQOJSIi3nn6cpvLz37eQeb8UCiWjmgDTrEVQ3cla/OzjDyfxe9PrHNxsOpGFQxn3qm37ztNPau5MFpRVIetBmc5xsVAAd0cJhEIB7tfhzpiau+PjD5MpNx9hT1pOtW1PzB2omXRY/X9XsTctB+6OYmTkltQY/M/flY5KufGJQoEAeFBaieZuqtndV/qG4IVuAQhp6gy/Jo46d/+0cXkt5wMf6SKsBcbTpk3D9u3bERgYiJdffhnbt283CBhNNWzYMAwbNqza4ytXrsTUqVM1C+pWr16NP/74A19//TWWLFkCPz8/nRniO3fuoEePHtW+XmVlJSorH/8iFRerZulkMplBDnFlZSUYhoGDg4POjHhxhRy5RepAFSioLINEJISPuwPcHNidoC+ukOPWQ8M6STKFEjcLyhHoCZP6ZADIFarFU3KlEnIlA7mCgVzJwNVeDAigGVd1ZAol7jySws9D9cstVzK4/VAKwX+34PX/62wngut/58gwQKFUprldLxAAdx9Ja+zvziMpKmQKKJRApUyAgtJKTN9yBp2CvPBKn2AAwL3iCvRZnlTtazzbxRcDW6t+Vh+V1e2XK7ewDBEBrhjWrgUc7URwthPByU4MZ3sRnP77/0BPR52fm4Nv94ajneq4o0QEkVCAv7MeYsLGs7X21+/Jpujg83gWTf/n0VRPt/HCVy92wif7LyNP65aft7s93h8WiqfbeFnch6X9CQH0DPFAzxAPzWOF5TJk5BbjYm4xwnzcNM+5eLcIf1y8hz8uPv6DKhSglhmqi+j/JPu58Qolg9OZ95HyQAD3a/l46olmVv/DxFWff1y8h7e2/1ttAPfVi50wpF0Lo8+tq6Ejn0UVI0KbNm1w69YtTJo0CY6te8Lz6dcgdnu8QYm8+D4e/vktpFdPYfPmzQgNDYWLiwuCWj1p8s/utWvXUFqqCsbLpVK0en4uiuXA4/BCRSAQAmDw/bkihLf4G0KBAC4uLhblNSuUDBbuvWjSz2p2QRkelqlmUYsr5CipUH3IL6mQwUEiwrtPt9K8xpTNKTh/twglFXKDHM2alFTKsfr/rmm+drEX441+wZqvfz+fgxOZxkvxiYQCLIp6fOcg7VZhnfrMLSyDq4Pqb4KbgxhuDhK4Oer+t7KqCmKB6m/GlJ6BeK6Lj6qtowRuDmI4SkQQCOp+bf1hUjhCvV0hhlLzczOyYws80cwJReUyPJLKUFQuU6Wylau+5y6Sx9fg2w/LcEMvODeGgeruXxMnCdq0cEFQU2eEeDkh2NMJQU2dEODpBHuxUPO6HX0fp0NBqYBMaXwCxdrXcnUZSLlcbnQtlfZ/6/o8UzR1qlsM09RJXGM/ppyDgGGptppQKERgYCC6dOlS42xhYmKiWa8vEAh0Uimqqqrg5OSEX3/9Fc8++6ym3TvvvIO0tDQcO3YMcrkcbdu2xdGjRzWL706fPl1twL5w4UIsWmS4o9TPP/9scNtMLBbD29sbAQEBmsLy5XLgQQ1xlZcDUMf3uFYMA+SUA4oa3j2RAPB2BJRQtVMyuv91FAGO/51PpQK4V0MM6i4BxEKgoA4fwB1FQLP/7uDLFEBuDa/rKgGa/JeuKleqxmQuRl6F/Jw7WHgkH74OMkxopQriqxTA7DNiOIoYOIlVY3YSq/7fSQSEuDHo3kz1jbxWJMCajNrzpN8MU+BJd8t/dZQMsOicCIVVgP4f4f9GBQ87ID5cAWvEVkoGyCwWoFgGuEmAJ9wYq/Rj7f4KK4HUAgFulwlwp0zw389y7S/c0lUJHyfATcLAzU718+jvzGh+Jk31b4EAidlCFFY97tvDjkFMsBKdmlqnjCVXffLxs1pZWYmj1wuxv9j3v0e0X1g1tuFuOejfygP29tW/aQwDyJRA1X//hAA8/muefzcbP2z5ERDbQSC2h6SJD5za1D4bXHn3EpRS1eRJkw6DIHJuAk97BsMCHn/Pd2cLUSY3/nw3O2BkoNKsa86SNBHypMa/ye52DD6KeBxErU4XIavkcVuRgIFECFQoan+TnnRTormj6vslEQKjgx9PjJy6J8CDCtUEhgD477+q32cBgMH+j78Pf9wRYP/tuo2xlRtjsH7EHFz9vD6sBB5WAOcfCnEsr/Y74y89qUCEF/vXAmtdWzMzMxEXF4cVK1ZUW5aRzefpY+t9LC8vx7hx41BUVAQ3N7ca+2RtCvOll17itPLEgwcPoFAo0KKF7uxEixYtkJeXB0AVvK5YsQIDBgyAUqnEnDlzapzFnjdvHmbOnKn5uri4GAEBARg8eLDBN7KiogK3b9+Gi4uLpr5n7r1SqMJQ44pkQnh7Vp87p2SguSWl/V+xSAiJSPW9lSsZFFfIUSlTQMFUVftagCr4vVtDoOnkYA+3/xZRVSmUuCcthQACiEUCiIQCiNX/REK42Ks+hRdU1v7JuJm7k2amWskwkDgqoGQYMP/datP+r5O9SDUb/d/YSpRSzXGZgql1hhoAnO3EcLQTQSkXoMpRjLlDWyPAyx3tfB+/ZyNHMHWaQVMoGSSsSMK94soacrbs8eaYfqzNyEmCVbNwgLFbYQJ8EmP5LFxNZDIZDh8+jEGDBnFSc9da/Y3T+v+ElDuYtzuj1ufcKBHiRonuYx8Mb4PhPVX1cS/cLcKcnelo5moPLxc7NHOxh5er6r/NXO3xZHMXNP/vd+iPi/ew6ZThbGpRlQCbropYmU3VZ40+5QolyqoUEAkFcPnvd7OkQo5NJ7NRWHWjhmcKUFgFuLTqhlM3HqoCJYFAK2hSLcZs7+eGwf+lzVTKlfg2OQsC6N5JAgChEAj2dMK565cBGPtErmp3RBoAZYUXOni547W+qt35lEoGT69KRrlMAWmVAlK9xUv9W3vhu2dV+dn/HvwRrw65rnU0FcD+2r9RLR//7whpD1wsb4oOfm4YPvzx5g7LVyThTqHx2ZInmjlj+PDe+O18LpBxofbu2nXG8I6qdIrEgnOwe1CmmknVmi11c5TAy8UOw3sHa57XuqtqJtzNUQJ3BzHsJaI6z6bGx3ZHj2ryU4fX+uzHhigZnPjkDxRWqWfddTGMEh52wJtjhrJ6p4PLa+vfWQ9xrA7f08F9e1T7PbWUNa6tqampAIA+ffqgS5cude6vpueZio33UZ0BUBesbvBRGzYXvqnpB+MMw+g8NmrUKIwaNapOr2Vvb2901kEikRi86QqFAgKBAEKhEEKhEKUV8jqlGVzLL4NAADR3tYeHk2qmubRCjhsPjOTU/cfb3UGzqlQulyOnsOb0An2qIFf4X5CrCnZFIiFc7MSa3G97gQBhPm4QCQXVfsBhGFWeWU3jlIiEcHeUaF5DCMDDqW6VKuyEQIjX4w8OtX1f1Fq4OcDFQYyKCgFKHCQYFOJrsBlBXS8REgALR7WrJWerHRzs2cvfjursD7FYpLXwRsWb40Vixn7OG2p/wc1qnhFQm9I7GC72YtwvrcT9EtW/ls1dNeeVXyrH9ftluH7f+AfChSPDMLl3CBRKBvH7LtWYs7lw3yUM6+gHkVCAvKIK/HU5X/W7qPVP/XUbb1cENVXV5i2tlONSbrGqjeBxWwGARbX0+cHeDJRUKVBWqfrXPcRTs0Al+0EZ3tt5HqWVcpRVylFaqUBppUyzAv7NAa0wa0gbAEBhYSW+OlJTUPxYXkkVNp68We3xMV0DMKKTKjdcqpDhy78yq23b84mmOreHjZHKlDiYkQ85A52fp/ySKlQZuVbZi4UQi0SathdyK/He9XEQCAVg5DIIxHaw92tbY58AUH7lOBQlqlSCEa91wKjm/vBysdc5h/8NaIWSCuNTxk2cVD//Ph51q8Hs4+Gsee3NU6pPCdTX1q+JwWM9WzWv06IttqpiCBUKFB3ZAEHvV6q5rgpQfHQDJAuHs1p2k8trK9ff05qweW1Vl2IUi8XVvqax/uryvLpi43005RysVpVCW15eHhYvXozvvvsOUqlpQV11vLy8IBKJNLPDavn5+QazyFyQ17HyRqVcdYtLppUDoR+HCgQCnTxbkVYDsVDw36YLqgV+tQnxcoarQ+0/EAKBKmiurY2vhwNuFlQ/De3r4cDanQNne1GdAnFne3ZLxA1t74OvJ4RzGqgObe+DQWHeOHU9H4eS/8bgvj1spqwYH+q6Wvv9ETUvTOkR4omfXumhCZq1A+j7JZXwb6JKsTqT9RAFpTXfwXlQWqVZOX09vxTzd1U/S/jBiLZ4pa9qSvLqvRI8/82pWsdsTGG5DPMS0zVfvzWwlSYwVjKq0mDVKdeqYe3uqMqLvHKv9g+qfh6OeD2yJcCoAiClklH997+7RF0CPTRtJUIhxvUIhCqhj4FSCTBQ3y1TzRrXxXPhfhjZyVfnsYT/9YS9WJXPr53bL9R7v0fGvACF0E5Tf7msvBzT/3iEYpkA1d269XQQYv38nhAJBTXWTh7fI6jWc+8e4okWbva4V8MHgKaOQrRvwV7JLa4X4CYnJ+PmiT34YuYMbLsiN7iuvthajHeX7UZycjL69+/PSp9qXF1buf6eNjZc/o1kLTAuLCzE9OnTcejQIUgkEsydOxdvvvkmFi5ciM8//xzt2rXDxo0b2eoOdnZ2iIiIwOHDh3VyjA8fPozRo0ez1k9diet4Bfd2c4CTnQh2WqVe7MRCFEtluF9aBW83e3QPqX5BkJ1YhGAvZzAMg8t5JbUGjepboWxxd7RDUFNoVcJ43FddK2EUFBSgbdu2OHPmDIKDg6ttpx2Ix70+CZ0iuuOl16brtGEzENfGR6AqEgrQI8QTBZcY9AjxpAuoBdj6I9XE2Q69W3nV2p+pK6c9nCQYFNYCSqVqcat6watSqfqQrV6ZDgB2IiFaejnrtFMoAWmVvNoNWLSF+bqhVTMXONuL0cHvcZ1Fb3cHrBnXBc72Yrjai+FsL4bLf/91thfplKNq6mKP/e/0q1OZv8g2zTGwbd0mJxztRDrVC/SdyizAr2fv1Po6sREBBqWaOvp71OkcvLy8dHZEPXfuHK7/Mue/qhRKnVv/DKMEIMAr4e7o1tVwcxVziIQCTGrviM9OVABgjPZ36eePcW3kGtY2agG4nQDIzc0FAEwZHIHp0c4G19XyslK8q9WObVxdW7meVNHf/VJ/y3SAnQ136guu3kfWoqb58+cjKSkJkyZNwsGDBzFjxgwcPHgQFRUVOHDgACIjI01+zdLSUly//jj3KysrC2lpafD09ERgYCBmzpyJiRMnomvXrujZsye+/fZb3Lp1C2+88QZbw6qzus5uNnPVLWWmW7tSpS61Ky2dvZ08eTI2b94MQLWVpa+vL0aMGIHFixejSZMmOm1ef/11fPPNN5rnujvaYe7Md/DNN9/g+TFjseGHzarb0ffv4/V3F+DAgQO4d+8emjRpgk6dOmHhwoXo2bOn5vlLlizByJEjawyKtfsKagpMn/keJsdGIWbsRLi4upkUiJuLAtWGjcs/UqYW2m/v547vXupap+e093PHX7P6Gzx+KrMAY787XevzF4wIM1rf08lOjKiOvkaeYRwfM2J81GkNDQ3F8W1r9OoYq3g5iTV1jC2l3t0PADo1BcYHlWNfriOKtRbPe9gBI3zK0e7D6ZBKpazv7sfVBIC6tnx6ejqeeuopg+tqenq6TruGjIvvqfpn59KlS5gwYYLBce0t07du3Yq2bVWpQbQzZN2wFhj//vvv2LRpE5555hlMmzYNrVq1QuvWrbF69WqzX/Ps2bMYMGCA5mv1wrhJkybhhx9+wJgxY1BQUICPPvoIubm5aN++Pfbv34+goNpvX7HNnEDV0tqVls7eDh06FJs2bYJcLkdGRgamTJmCwsJCbNu2TdMmICAA27dvx6pVqzS1gisqKjSl+cRCwNlOtTDvueeeg0wmw+bNm9GyZUvcu3cPf/75Jx4+fHy7ViqVYsOGDdi/vw6LW7TGOXpgT4SEBOPYb7/izbffhosVa0MT28HVH34+Ajg++uR6RoyPYFy9cUp4OPB6FGOVnx393f3UxAIhvPVqNR9klDio187S3f30ZxoVJSUovXgUilbu+LdUtRaIzZnGvn37Ijg4GIsXL8bu3bt1jimVSixZsgQhISGazbkaOmtOqly7dg2tW7euc3v9wPnq1asUHNeCtcA4JycHYWFhAICWLVvCwcFB5/aUOfr37290kw5t06ZNw7Rp0yzqhy3qQPXG/TKDQNXb3QESkRAVMgUcJKI67QS0UG+bw/Iqw5xiiUiIUG9XlFbKUVxSBjdX5zoHjfb29vD2Vm1s4e/vjzFjxhgsogwPD8eNGzeQmJiI8ePHA1CV3AsICEBISIimXWFhIY4fP46jR49q7g4EBQWhe/fuOq934MABiMVinRnkbdu24eWXX0ZmZqZmp8JXXnkFZ86cQXJyMtzd3SEQCDB61Cj8tnsn3ps1g4JiUmdczPzzEcDxldPIdZoRHzn/atb62al5d7+8//4BgPHA1NLd/Yxt7Q3ozjRaurW3NpFIhBUrViA2NhbR0dGYPXs2pFIpTp8+jeXLl2Pfvn1ISEhgdeEdH7Q/cBhLawAs/8ChvsugPROsVlpait27dyM6OhouLro/X+rZZfXzSfVYC4yVSqXOqj+RSARn57qttrUl7o52eHbd4WqPD2jTDJte7l6nbQ7z9LY57PPZETwsM1zgk710BJztRFBIHs/emurGjRs4ePCg0ZWbL7/8MjZt2qQJjDdu3IgpU6bgyJEjmjYuLi5wcXHB7t278dRTT1VbUzQpKQldu+reQn7xxRexdOlSLFmyBGvWrMGiRYvwxx9/4PTp03B3f5wT2a1bNyxduhSVlZWa2WtC6gu+Fm3yETRynWZka4tTq93dr47M2d1PO3VDKpVi69atmmOZmZmIj4/HokWLNDVn1akbADu34GNiYpCQkIC4uDj069dP83hISAgSEhIQExNj0evXB8Y+cGh/2ADY+8DRtm1bg9eRyWR49OgRevbsyWmFIVvDWmDMMAwmT56sCYgqKirwxhtvGATH5m7wYWv42OZQ3759++Di4gKFQoGKClU/K1euNGg3ceJEzJs3D9nZ2RAIBDhx4gS2b9+uExiLxWL88MMPePXVV/HNN98gPDwckZGRePHFF9GxY0dNu+zsbPj66uY1CgQCfPrpp4iNjYWvry+++OILJCcna2aP1fz8/FBZWYm8vDyd2WpC6gs+AjhbCxqrY0s5//qVMKRSKX799Vf8/PPPuH//vqZds2bNMG7cOHTr1g3BwcFwdHSEq6srWpkYpFaXuqGti7cQu79eVO1xS9M3AFVwPHr0aBw5cgQHDhzAsGHDMGDAAKvPFCsUChw7dgxJSUlwdna2Wp+hoaFISUkBoMqnnjRpEjZv3oz27dvrtGlIystV6aHqD0naSktLcezYMTRp0sToDHVDxVpgPGnSJJ2vjSWENxYZHw2BUqlESXEJXN1cNbWCgcfF601drAMAx98bUENL0w0YMABff/01ysvL8f333+Pq1at46623DNp5eXlhxIgR2Lx5MxiGwYgRI+DlZbhS/7nnnsOIESOQnJyMU6dO4eDBg1i2bBm+//57TJ48GYBqFkK/xjAAREVFISwsDIsWLcKhQ4fQrp3hjIh6llj9i0pIfcRHAGdLQWNjoF8J4/PPP8cXX3xh0O7+/fuaxy2ZaZTlXqwhdaNuLE3f0E4zkEgkqrr4Egn+/fdfTRtrVFBITExEXFwcsrOzAagmf4KDg7FixQrWZ6nV+enA4y2RQ0NDWa0mIpBXoIu3EI6FV4EcvWpYcjncy7OB3H8BsW5451h4FV28hRDITZtsU79nr776arVt9GfFtWmnkTQUrAXGmzZtYuulGjwnOzGUSiXkdiI4aW2ioc2chTNOduyWXnN2dkarVq0AAF9++SUGDBiARYsW4eOPPzZoO2XKFLz55psAgLVr11b7mg4ODhg0aBAGDRqEDz/8EK+88gri4+M1gbGXlxcePXpk8Lw//vgDly9fNrqboZp6EV+zZs1MGichhNRXCoUCa9asQb9+/bBixQqUlZVhz549GD16NJydnREXF4fMzEyLUhkeibwQvr4UCxYsMJixVCqV+Pfff3Hq1Cn07NkTnTp10vmblZWVhQ8++AAbhgea3T/AbZqBWmJiImJjYxEVFYUtW7bgzp078Pf3x7JlyxAbG9sgUzgcSm+pPuQkvQ4k6R6TAOgPAFcMn9cWwLnXXXCp9BaAXnXuLzo6GoDxDy3VzYqrNdQqGJxs8EEM1cdi4PHx8Rg2bBj+97//GaQ7DB06FFVVqvzmIUOG1Pk1w8LCdFYhd+nSRSe3DVDdonn++eexfv16bN++HQsWLMCvv/5q8Frp6enw9fU1OltNCCENUXJyMm7evInt27eja9eukMlkKCwsRK9evSCRSLB06VL06tULKSkpZm9+kXEtG6l5SsRMrz5VAgDW7Eyu9phLE9MnJKrLazaW06xuw1ZJOoVCgbi4OERFRWH37t1QKBQoKChAjx49NAvUZs2ahdGjR1uUVqE9Rm3qmdbLly9rdoHTZu4YK1wCEb6+FD/99BPa6n3IkcnlOHHiBHr37g2JXp+XLl/G+PHjTf6Ao393Q5u1ZsX5RoExj/hcbW1M//790a5dOyxevBhr1qzROSYSiTQ5Q8YuIgUFBXj++ecxZcoUdOzYEa6urjh79iyWLVums+HKkCFDMG/ePDx69AhNmjRBdnY2RowYgblz52LixIkICwtDt27dkJKSYjC7cPz4cQwcONAKIyeEEH6oN7UwNuOm/bglm18Ym/X766+/MGfOHPTt2xeRkZH4+OOPsWDBAhw7dgzJyclYtmyZ5nprThBXl7Ji8fHx1R6ztKxYcnIysrOzsW3bNgiFQigUjzfDEQqFmDdvHnr16mXRbnt1GaN+mqk2c8bIiB2QmqeE1KM14NtZ96BMhiKnu4BPJ0Bv8Z00T4nUPCUYMXs7KNoqCox5pl44cybrIfJLKtDcVZU+wVeO4MyZM/Hyyy/jvffeMzjm5uZW7fNcXFzQo0cPrFq1CpmZmZDJZAgICMCrr76K+fPna9p16NABXbt2xS+//ILnn38ew4YNw6hRozRtIiIiMHLkSLz//vs4ePBx9c6Kigrs3r0bCQkJLI6WEEL4pb/5hT42Nr/Qn/UrKSnByJEj0bdvX6xYsQIZGRkAgFatWmHUqFGIi4vD2rVrMWPGDLNnU0sf3UcXbyE++eQTg8XSUmk5jhw5igED+sPRUff2vDp1o/TRfQDmB8ZcfOCg0mm2iQLjekAkFBjdmcqa9OsVq40bNw7jxo2rsY3arl27UFxcDEBVE3nJkiVYsmRJrX0vWLAAs2bNwquvvmp05eqePXsMHtuwYQO6d++Obt261fr6hBDSUPCx+cW2bduQk5ODnJwcnWuq/uymJbOpeHBVlQt7eylw2/BwuAuAfwyv9W0BDDcjF1afegfXnTt3okOHDgZ1hc+fPw+And32qHSabaHAmHBu+PDhuHbtGu7evYuAgIA6PUcikeDLL7+08pkRQgi3+Nj8ws5OtStqcnIynJycUFJSolnw5+rqirKyMvTr18+i2VQ+ajVra9pUNdmkXvitpr3gz8/Pz2Z22yPsocCY8OKdd94xqf1rr70GpVKpmaEmhBBbwfXmF8HBwQBU9efDw8MNFvydOnUKgGWzqfq1mrXVpZqBqbWa9bVr1w7Lly+vMY96+fLlFn3g4Lp0Wn2gXXavugWG1ii7xyUKjAkhhBCecbn5BRfpG/p5zdoBVXXYCKi0q0QMHDgQy5Ytw6pVq5CUpKpt9vHHH8PPzw/Lli1DmzZtLNrdj+vSafWBsbJ7+ik4bJfd4xoFxoQQQkg9IBKJEBkZibKyMkRGRlptRzg+0je4CKjqUiUCAO7evYvZs2cbPG5qlQiuS6cB/O9Ep727n34KjnabhowCYwsxjLHtOQgf6L0ghJC64Tp9g4uAiutKGHyUTuN7Jzrt3f30U3BsBQXGZlL/EJSXl2u2Kib8Un+StqVfUEIIsRYu0zc4Cag4roTBx+xtY9yJjmsUGJtJJBLBw8MD+fn5AFS/9ALB49rDSqUSVVVVqKioMLolNNu47o+PPqvrj2EYlJeXIz8/Hx4eHla7/UgIIbaGq/QNLnBdCYOP2dvGuBMd1ygwtoC3tzcAaIJjbQzDQCqVwtHRUSdgthau++Ojz9r68/Dw0LwnhBBCGheuK2HQ7K1tosDYAgKBAD4+PmjevDlkMpnOMZlMhqSkJPTr14+TW/tc98dHnzX1J5FIGvRMByGEEMtwPZtKs7e2iQJjFohEIoOgTCQSQS6Xw8HBgZOgkev++OiTjzESQghpePTLwxmrudvQ6+02hjHygQJjQgghhNgUY+XhAN0ScQ293m5jGCMfKDAmhBBCiE3RLg8HGC8R19Dr7TaGMfKBAmNCCCGE2BTt8nCAbdbcbQxj5AMFxjVQbxhRXFxs8nNlMhnKy8tRXFzM2cI0Lvvjo08ao230SWO0jT4bwxj56JPGaBt9lpaWav5rTgxhDnofq6d+D+qyEZiAoe3CqnXnzh0EBATwfRqEEEIIIcRCt2/fhr+/f41tKDCugVKpRE5ODlxdXU2u01tcXIyAgADcvn0bbm5uVjpD/vrjo08ao230SWO0jT4bwxj56JPGaBt90hjrV58Mw6CkpAS+vr61bkhGqRQ1EAqFtX6yqI2bmxtnPzB89MdHnzRG2+iTxmgbfTaGMfLRJ43RNvqkMdafPt3d3evUjpu9gwkhhBBCCKnnKDAmhBBCCCEEFBhbjb29PeLj42Fvb2+T/fHRJ43RNvqkMdpGn41hjHz0SWO0jT5pjA23T1p8RwghhBBCCGjGmBBCCCGEEAAUGBNCCCGEEAKAAmNCCCGEEEIAUGBMCCGEEEIIAAqMCSGEEEIIAUCBMSGEEEIIIQAoMCaEEEIIIQQABcaEEEIIIYQAoMCYEEIIIYQQABQYE0IIIYQQAoACY0IIIYQQQgBQYEwIIYQQQggAQMz3CdRnSqUSOTk5cHV1hUAg4Pt0CCGEEEKIiRiGQUlJCXx9fSEU1jwnTIGxEWvXrsXatWtRVVWFzMxMvk+HEEIIIYRY6Pbt2/D396+xjYBhGIaj82lwioqK4OHhgdu3b8PNzc2k58pkMhw6dAiDBw+GRCKx0hny1x8ffdIYbaNPrvrbu3cvJk6ciKFDh+Ldd9/F3bt34efnh9WrV+PgwYPYsmULRo0aZZW+6X2kPhtKf3z0SWNsOH2mpaUhMjISx44dQ+fOnevcX03Ps4S5YywuLkZAQAAKCwvh7u5eY1uaMa6BOn3Czc3NrMDYyckJbm5unP0SctkfH33SGG2jTy76UygUWLBgAUaOHIndu3dDoVBg//79GDhwIAYNGoTo6Gh8+OGHGDt2LEQiEev90/tIfTaU/vjok8bYcPp0cXHR/Fc/Dqqpv5qeZwlLx1iXtFhafEcIsTnJycnIzs7G/PnzDfLJhEIh5s2bh6ysLCQnJ/N0hoQQQuojmjE2Qp1jrFAo+D4VQogZcnNzAQDt27c3elz9uLodIYQ0NOXl5bh8+bLm65KSEhw7dgweHh5wdXUFAISGhsLJyYmvU2yQKDA2Yvr06Zg+fTqKi4trzUUhhNQ/Pj4+AID09HQ89dRTBsfT09N12hFCSENz+fJlREREGDy+atUqzf+npKQgPDycy9Nq8CgwJoRwRqFQ4NixY0hKSoKzszMGDBhglRzfvn37Ijg4GIsXL8bu3bt1jimVSixZsgQhISHo27cv630TQggXQkNDkZKSovk6PT0dkyZNwubNmzV3xUJDQy3qQyCvQBdvIRwLrwI5etm3cjncy7OB3H8BsW446Vh4FV28hRDIKyzqnw8UGBNCOJGYmIi4uDhkZ2cDAFauXIng4GCsWLECMTExrPYlEomwYsUKxMbGIjo6GrNnz4ZUKsXp06exfPly7Nu3DwkJCVYJygkhhAtOTk46s8FyuRyAKhhma5bYofQWzr3uAiS9DiTpHpMA6A8AVwyf1xbAudddcKn0FoBerJwLVygwJoRYXWJiImJjYxEVFYUtW7bgzp078Pf3x7JlyxAbG4uEhATWg+OYmBgkJCQgLi4O/fr10zweEhJilf4IIQTg7s4YFypcAhG+vhQ//fQT2urNPsvkcpw4cQK9e/eGRG/G+NLlyxg/fjw2DA/k8nRZQYExIcSqFAoF4uLiEBUVpSmdVlBQgB49emD37t2Ijo7GrFmzMHr0aNb/eMTExGD06NE4cuQIDhw4gGHDhjXoP1KEkPqNyztjXGDEDkjNU0Lq0Rrw7ax7UCZDkdNdwKcToFc6TZqnRGqeEozYgbuTZQmVazNi7dq1CAsLQ7du3fg+FUKsSntm49ixY1apxMJ36TSRSITIyEj069cPkZGRNhkUc/E+EkJqpr4z1qFDByQnJ2Pbtm1ITk5Ghw4dEBsbi8TERL5PkdQBzRgbQVUpCB+4vv3G1cwGlU6zLluboSKkIeLyzti1a9dQUlJi8Li6dNvly5chFhuGd66urnjyySct6rsxoMCYkHqA6+BGPbMxYsQIzJw5E1evXkXr1q1x6NAh1nN+qXSa9fCRu00IMaS+M7Zt2zYIhUKduzbqO2O9evVCcnIy+vfvb3Y/165dQ+vWrWtsM2nSpGqPXb16lYLjWlBgTAjPuA5u1DMbERERSE9Px759+zTHgoODERERwWrOL5VOsw4+c7cJIbq4ujOmnineunUr2rZtq3OstLRU87uv3pJZ7dKlS5gwYYLRmWaii3KMCeGRdnCzc+dOVFRU4J9//kFFRQV27tyJqKgozJo1i9WcUfXMRkpKitFcuJSUFFZzftWl0/bt24fo6GicPn1aUzotOjoa+/btw+eff07Bm4n4zt0mhDymfWfMGLbujKnrCof7iBDuLdT51zPYCaO6BaFnsJPBsXAfUYOtK8w1mjEmhEfq4Ob1119H69atDVIpXnvtNfz2228W337TdvfuXQDA0KFDjc40RkVF4cCBA5p2bGgMpdO0t2c1tjUrwO72rJS7TUj9wdWdMa7rCpeXlwMAzp07Z3CstLQUx44dQ5MmTYzOUDdUFBgbsXbtWqxdu5ZWdhOrUwct8+fPN5pK8f777+u0Y8P9+/cBqIJVY7lw0dHROHDggKYdW2y9dJqx7Vm1t2YF2N2elXK3Cak/uNpUiOu6wuoP+6+++mq1bfSvc9q0JwYaCgqMjaCqFIQrzZs3BwD07t3b6OxtZGQkjh8/rmnHhmbNmgFQ5TZPmTJF55hSqdTMdqjbsUldOq2srMzmSqdpb89qbGtWdRu2UO42IfULF3fGuK4rHB0dDcD43a7qrnNqDbUKBgXGhNRjDMOw/pp+fn4AgAMHDhid2Thw4IBOu4ZIO60BMJ7awGZaA6C7Pas1tmbVR9teE1L/xMTEICoqCl999RX++usvDBw4EG+99Rbs7Oz4PjWzeHl54ZVXXjF6jIvrHB8oMCaER/n5+QCA48ePGw1uTpw4odOODeqZRi8vL5w/f15nZiM4OBhdu3ZFQUEBqzONXOffGktrAHRv+bGZ1sCXxpC7TUhDol96c//+/VizZg3VFW9AKDAmRAvXM43q/M8333wTiYmJOsGNn58fpk+fjrVr16JJkyas9AcAlZWVmD59OubMmYM+ffogOjoaGRkZCAsLw7lz53D8+HH89NNPrM40cp1/q53WABi/5cdmWgOfbD13m5CGguqK2wYKjG0A1zum2TKuZxr79u0LX19frFmzxuDY3bt3sXbtWgBA06ZNLe5LvVvSpUuXMHv2bACqqhjqcl6HDx/WtFUqlZpVyObmiWnvziSVSrF161YAQGZmJuLj47Fo0SI88cQTmvZSqdTiPtW00xoA273lp2bLudt8omsrqSuqK247KDC2Ai4vprQdLLu4nmkUiUT4/PPPMX78ePTt2xeRkZH4+OOPsWDBAhw7dgzJyclYtmwZ2rVrZ1E/ddktSduECRN0vjZ1t6S69BcfH1/jcdqhifCJrq3EFFztfEesjwJjlnF5MaXbNuypbu95Y7RTLdiYTW3Tpg2WLVuGVatWISlJVZjy448/hp+fH5YtW4aBAwdq+jS3v9JH99HFW4hPPvkEISEhOsek0nIcOXIUAwb0h6OjbopIVlYWPvjgA5Q+ug+g7v2a258lfTY2dUn7AdhfZNgY0LWVmIrqitsOCoyNMLeOMZcXU7ptwx6u956/fukCxgzsbPB4CwAtvLV2MFPk4ucV7+HnFbrtfvkrDa3adqhzfwCAB1dVReFvLwVuGx4OdwHwzx6Dx9sCGG5GUXhNEXoT+7OkT6D6DzjqAPLy5csQiw0vew2xrFBd0n4A21hkyCW6thJzUF1x22FSYHzmzBlERERoLgYMw0AgEGiOV1ZWYs+ePXjhhRfYPUuOmVPHmOuLKR+3bfgogcVFNQOu956X5V5UBY1mupR7ETAxME67U46p60vN7vOXMaalcphbhB4wvxA91x9w+FaXtB91O1J3dEucmIPqitsOkwLjnj17Ijc3V7PZgLu7O9LS0tCyZUsAQGFhIcaOHdvgA2NzcH0x5eO2DR8lsLioZqC993xb7RlbADK5E5T/7T0vEesecyw0b+/5RyIvhK8vxYIFCwyClrqkNZgaMALAyJgXoBDaGXyIUCgUSExMxNKlSzF37lzExMQYfHBzdXVFKxMDxrIqVTH5EzdKIfVQ6hwrLS3H3n9uQujXxeDDBgBcylWYVYie6w84gPkz1AAtMKyvGtstcVpgyA6qK247TAqM9TcbMLb5gDU2JGgIuL6Yqm/H7Ny5Ex06dDCYTT1//jwAsFrmi6uFaeZWMzA30OB67/mMa9lIzVMiZvqi6hut2FLtIZcmpu9IZ6xIu34+/NKlS7F9+3ZW8uEt3UYUMH8r0bZt2xoEhjKZDI8ePULPnj0h0dsRylyWzlADDW+WujFoTLfEaYEhu4YOHapZL6JfenPZsmUIDg5GeXk55fzXc6znGGunVjQm6gC0tkCVrYupuszX5MmTdR7XDzbYLPNVF5YuTKsu/1ati7cQu7+uPqA0J/+W6xnc+rDFpnY+/AcffIBXXnkF33//Pfbs2cNKPrwlYwQaRs6vuTPUgGWz1MS6GsstcVpgyL7Lly9rSmFqu3v3ruZxyvmv/2jxHUvUAWhNgaqfn5/FF1PtIHX69On44IMP0LlzZ0REROD777/HK6+8gpSUFKSlpeHtt99GVVWVRbOpdQlUV7/3crXHTQ1US7JSOM+/5XoGl+8tNktKSvDWW2+hb9+++PDDD5GRkQEAkEgk+PDDD1FUVIS4uDiL8uH5HiOXuJqhJtxoDLfEaYGhdWjfVaWc/4bL5MA4IyMDeXl5AFRpE5cvX0ZpqWpRz4MHD9g9u/quqhy3Uv9EWVkZJJWVWD5zPLZt2442bdrAy8sLx48fR58+ffDgwQNcuXIF096IwdVjvwIAnJ2dEdjlacCu7rdUjAWpnVsIgNx/kbLvX3TxFiJl30bN40k7vkLSjq80bc2ZTeV6oRjXi8QA/mdwtRcYVpebyuaixm3btiEnJwc5OTno1q2b5nH92/4NbXGROlfcsfAqkKObDw65HO7l2UDuv4Bezq9j4VWzcsWJ7bL1rbZpgaF1aOf929oEQGNicmD89NNP6+QRR0VFAVClUOhXqbB1V0/tQ+sjj3MoO7sCs15zBnBH9a+dC4A01cFIZ0C+GUjarGl/C1sR2GNknfvjYzaV6zSD6haJAXULUk1dJAbozm7qV94whu3KG8YWGOoHqWzefrOzswOg+uPo5OSEkpIS7NmzB6NHj4arqyvKysrQr1+/Bre4iOtccWLbbHmr7ca2wJAQU5gUGGdlZVnrPBqkE1ce4EWLZjeDTWrPx2wq32kGXAeq1VXe0A5U2c4R0779ph+kardhS3BwMABALBYjPDwcMpkMhYWF6NWrFyQSCU6dOgWA3cVFXMyKm1siztzycMT22epW241pgSEhpjIpMA4KCrLWedQrdd3gQ3t2U6lUIjY2Fv7+/pgxYwaysrI0FRRCQkKwatUq5OXlYc+ePRCJRGbNburPpkqlUs1q4uoqNgQHB8PR0dHs2VS+0wy4nk3Vr7xhLFBlO0dM+/abfpBqDXwsLuLifWTEDkjNU0Lq0Rrw7ax7UCZDkdNdwKcToPd9leYpzSoPR0hD1VgWGBJiDpMC44cPH6K8vBz+/v6axy5evIjPP/8cZWVliI6Oxrhx41g/Sa7VdYMP7dnNb7/9Fvfv38f9+/fx0ksvadrEx8frPKesrMzsnC392dRz585hwoQJOm30+7M02OA7zYDr2VT92rBcBKpc42NxUWhoKJYvX45Vq1YhJydH87ivry9mzJiBgQMH0qIUQjjSGBYYEmIukwLj6dOnw8fHBytXrgQA5Ofna8qGPfHEE5g8eTIUCgUmTpxolZOtz/jI2+Q6aOQjzYDr2dTGguvFRQcPHsScOXMQFRWFHTt26JSGmjNnDhISEmiBCiEcsvUFhoSYy6TA+PTp09i0aZPm6x9//BGenp5IS0uDWCzG559/jrVr1zbKwJiPvE2ug0Y+0gyI9XC1uIhKQxFSP9nyAkOumLv7ZUOo1d5YmRQY5+XlISQkRPP1X3/9hWeffVbzpo8aNQpLlixh9wwbiMaQs9UY0gwaGy4WF3FVGqq8vByAKsVIX2lpKY4dO4YmTZoY3RKakMbKVhcYcsHS3S9p58v6yaTA2M3NDYWFhZpFeGfOnMHUqVM1xwUCASorK9k9wwaCcrYIMY6r0lCWbkNt7hbUXONzhkp7nYH+7p5qbK8zIKS+Mnf3S9r5sn4zKTDu3r07vvzyS3z33XdITExESUkJBg4cqDl+9epVBAQEsH6SDQXlbBFiiKvSUFxXUDF3QxHA/E1F+J6hMrbOQP/DBm15SxobLne/pDtj1mdSYPzxxx/jmWeewdatWyGXyzF//nw0adJEc3z79u2IjIxk/SQbEsrZIkQXV2lGXG9Dbe6GIoD5m4rwPUPF9Za3+pVwbH2WWqFQ4NixY0hKSoKzszP97SAGGsudMT6ZFBh37twZly5dwsmTJ+Ht7Y0ePXroHH/xxRcRFhbG6gk2RJSzRchjtppmZO6GIoDlm4pwOUOljestb6urhGOLs9SJiYmIi4vT1KZfuXIlgoODsWLFCrrbSDT43lugMTB5S+hmzZph9OjRRo+NGDHC4hMihNgeW0wzMndDEaBhbSpibk4zYPkfYv1KOFzMUvMhMTERsbGxiIqKwpYtW3TKGcbGxjbY3xHCPq7vjDVGJgXGP/74Y53aaW9wQQghAKUZNUSW5jQDluU161fC4eIPf13SN9hM3Wgs5Qy5XrjJ9ftIbIdJgfHkyZPh4uICsVgMhmGMthEIBBQYE0KMsqU0I3MXwQANZyGMuTnNQMNdeV+X9A02Uze0yxkyDGOQY8xWOUO+cb1wk4v30dwFuOYuviXcMCkwbtu2Le7du4cJEyZgypQp6Nixo7XOixBC6jVLF8EApi+E4esPMV85zXyoS/oGm6kb6jKFmZmZGDt2rEGO8SeffKLTrqHieuEmF++juQtwzV182xjxMfNvUmB88eJF/P3339i4cSP69euHVq1aYerUqRg/fjzc3NxYOylCCKnvLFkEA5iXf9tY/hDzWauZ6/QNdZnCCRMmYOTIkQY5xhMmTNBpxwY+gg2uF25y8T6auwDX0sW3jQnXd3AAMxbf9ejRAz169MDq1avx66+/YtOmTZg1axaio6OxceNG2Nvbs3ZyfFm7di3Wrl2rs0MXIYRo42MRTGP4Q8x3rWau9erVC2KxGE2bNkViYiIYhtHkGCcmJsLf3x8FBQXo1Yu9DzR8BBu2qKxKtYj2xI1SSD2UOsdKS8ux95+bEPp1MSyfmKtoMItv+cb1HRzAjMBYzdHRES+99BKCg4MRHx+P7du3Y82aNTYRGE+fPh3Tp09HcXEx3N3d+T4dQggBYH4lDHOrYPCxiQnftZq5dvLkScjlcuTn5+PZZ5/FoEGDcO3aNdy8eROHDx9Gfn4+GIbByZMnWcsx5irY4GPmn8s+qaaw9VT3PhqjffeDjbtGZgXGd+/exebNm7Fp0yaUlZVhwoQJ+Prrr3U2+yCEENKw8bGJieb5jSSvWZ07/Pbbb2Pt2rXYt2+f5phYLMbbb7+NL774gtUcYy7SDPiY+b9+6QLGDOxc7fEu3kKsfu/lao//8lcaWrXtUOf+GmNNYe00nOo+bFiahsP3XSOTAuNffvkFmzZtwrFjxzBkyBCsWLECI0aMaNArywkhhBjH5yYmjYU6d/jLL7/EiBEjNDPGTz75JA4fPowvv/xSp11DwcfMvyz3ouqDnJku5V4ETAiMG2NNYWNpOPpBqqVpOHzfNTIpMH7xxRcRGBiIGTNmoEWLFsjOzsbatWsN2r399tsWnRQhhBD+NZZNTPiknWO8a9cuMAyD/fv3Y/jw4Zg2bZpVcoy5oE7DCfcRoa23bhqOTO4EZbcg9Ax2gkSse8yxUGR2BZXGkIPPN+00nJKSEuzZswejR482qEfNBr7uGpkUGAcGBkIgEODnn3+uto1AIKDAmBBCSINRUz6jtSthqHOM7927h5iYGIMt0+/du6dp15DqGPNRQYXrHHy+6VcXMfazas3qIjKZDIWFhejVqxerQSrf9aFNCozV9RVrcvfuXXPPhRBCCOFUXfIZAevlNKpzh7du3YoPPvjAYMv0rVu3YsKECRbnGHMd/DfG2Vsu8m+1VVddRPtntSFWF+G7LKXZVSn05eXlYfHixfjuu+8glUrZellCCCHEamrKZwSsn9Oozh1+4okncP36dYMt08+cOaPTzhx8BP98zN6auxslWztRcpF/q02/uoix1Aa2S5lx4ZHIC+HrS7FgwQKD85dKy3HkyFEMGNAfjo66HzCysrLwwQcfWPyhyqTAuLCwENOnT8ehQ4cgkUgwd+5cvPnmm1i4cCE+//xztGvXDhs3brTohAghhBCuGctnBKyf09i3b18EBwdj8eLF2L17t86W6QKBAEuWLEFISAj69u1rdh98BP98BKl8l0/jMv8WMKwuYq3UBq5lXMtGap4SMdMXVd9oxZZqD7k0aWZR/yYFxvPnz0dSUhImTZqEgwcPYsaMGTh48CAqKipw4MABREZGWnQyhBBCqsf3jBhhn0gkwooVKxAbG4vo6GiDHON9+/YhISGBlepPXAb/fASpfJdP4yL/tjHQfh8FAoFOGm9mZibi4+OxaNEiPPHEEwCA4OBgODo6AuChjvHvv/+OTZs24ZlnnsG0adPQqlUrtG7dGqtXr7boJAghhNSO7xkxYh0xMTFISEhAXFycQY5xQkICYmJieDw78/ARpDbG8mm2SPt9PHfunGZbdG3x8fGa/+d1S+icnByEhYUBAFq2bAkHB4dqfwgJIYSwi+8ZMWI9MTExGD16tEGOcUPdJ4CCVMIGPvKoTQqMlUqlzi0BkUgEZ2dnVk+IEEKIcVwHG+ambgCUvmEOkUikk2PcUINiQtjCRx61SYExwzCYPHky7O3tAQAVFRV44403DILjxMRE9s6QEEIILyxN3QAofYMQ0rCYFBjrlx0xlvdBCCHENliSugGYl77Bd3F/rmjXFZZKpZoFRgqFAmlpaSgqKtKZMVYvMKKUGEKsy6TAeNOmTdY6D0IIIfUMH3mifBf350Jd6wpXx5INRQghNWNtgw9CCCHEUlzvmFbjDDVglVlq/brCxmaMO3fubDBjnJ2dbfGGIoSQmjWKwPjZZ5/F0aNH8fTTTyMhIYHv0yGEWJn21qyA8e1Z2dyalbCnrEq189mJG6WQeih1jpWWlmPvPzch9OtiWKs5V2HejmkPrlY7Qw1YZ5ZaHYyH+4jQ1lsIwBm9Q9oBUAX/gZJH6N07zCD496wUmRWI8xH86+N6u2S6BhBzNYrA+O2338aUKVOwefNmvk+FEMIBY1uzArrrJNiufUnYwXWt5rQ75Zi6vtSk5+j7ZUw7k9pzni7CQ/Cvj+vtkukaQMzVKALjAQMG4OjRo3yfBiGEI3zUvqyPM2LW7NNa/XFdq3lkzAtQCO2qPe+69NnKxD4fibwQvr4UCxYsMPg5lErLceTIUQwY0B+Ojrrnk5WVhQ8++MDkdBE+gn99XG+XzMc1gNgG3gPjpKQkLF++HCkpKcjNzcWuXbs0F0a1devWYfny5cjNzUW7du2wevVqi/aNJ4TYNj5qX9bHGTEu+mS7P64X/NXUn7X6zLiWjdQ8JWKmL6q+0Yot1R5yadLMpP74CP71cb1dMh/XAGIbeA+My8rK0KlTJ7z88st47rnnDI7v2LED7777LtatW4fevXtj/fr1GDZsGDIyMhAYqPrUHBERgcrKSoPnHjp0CL6+vlYfAyGE1McZMWv2yUV/torrWXE+gn9CGireA+Nhw4Zh2LBh1R5fuXIlpk6dqvmlXr16Nf744w98/fXXWLJkCQDo/HEghBA+NIYZMa7HyAcuFm3RdsmE1F+8B8Y1qaqqQkpKCubOnavz+ODBg3Hy5EnW+6usrNSZeS4uLgag+gMgk8lMei11e1OfZy6u++OjTxqjbfRJY7SNPvkeo7X6TU9PR48ePQwe104Z+fvvv9GlSxfW+iwvL8eVK1c0/Wv/V61NmzZWq6DAxfe1uv640th+P2yxP0v6NKW9gGEYxqRXtyKBQKCTY5yTkwM/Pz+cOHECvXo9Xg27ePFibN68WXMhqc2QIUNw7tw5lJWVwdPTE7t27UK3bt0M2i1cuBCLFhnmfP38889U0oUQQniWmZmJuLg4rFixAk888YRV+qisrMSdO3c0X1dVVSE/Px/NmzeHnZ0dAMDf3x/29vas9akeV03YHLP+GO/cuYNVq1ZhxowZ8Pf3B8D+GAnhU3l5OcaNG4eioiK4ubnV2LZezxirCQQCna8ZhjF4rCZ//PFHndrNmzcPM2fO1HxdXFyMgIAADB48uNZvpD6ZTIbDhw9j0KBBnNxm5Lo/PvqkMdpGnzRG2+iTjzGeOXMGANCjRw90796dkz65GGd5eTn69OkDQJW7/fvvv2PEiBE6udtszhinpqZizJgxBo9rl8Fje1ZcG/1+2EafDWmM6gyAuqjXgbGXlxdEIhHy8vJ0Hs/Pz0eLFi1Y78/e3t7oJ2SJRGL2m27JcxtCf3z0SWO0jT5pjLbRJ5f9qfuxte+ru7u7JtCXyWQoLS1Fv379rNZf+/bt61TKzNrfY1t7H+tDf3z02RDGaErbeh0Y29nZISIiAocPH8azzz6refzw4cMYPXq01fpdu3Yt1q5dC4VCYbU+CCGEED5QKTNCqsd7YFxaWorr169rvs7KykJaWho8PT0RGBiImTNnYuLEiejatSt69uyJb7/9Frdu3cIbb7xhtXOaPn06pk+fjuLiYri7u1utH0IIIdXjYxMTQkjjxntgfPbsWQwYMEDztTrHd9KkSfjhhx8wZswYFBQU4KOPPkJubi7at2+P/fv3IygoiK9TJoQQwgE+NjEhhDRuvAfG/fv3R22FMaZNm4Zp06ZxdEaEEELqAz42MSGENG68B8b1EeUYE0II/ygXlhDCNSHfJ1AfTZ8+HRkZGfjnn3/4PhVCCCGEEMIRCowJIYQQQggBBcaEEEIIIYQAoBzjGqkXBZqyY4qaTCZDeXk5iouLOduBhsv++OiTxmgbfdIYbaPPxjBGPvqkMdpGnzTG+tWnOo6rrdgDQIGxUerFd1VVVQCAgIAAns+IEEIIIYRYoqSkpNb9KQRMXcLnRkqpVCInJweurq4QCAQmPbe4uBgBAQG4ffs23NzcrHSG/PXHR580Rtvok8ZoG302hjHy0SeN0Tb6pDHWrz4ZhkFJSQl8fX0hFNacRUwzxjUQCoXw9/e36DXc3Nw4+4Hhoz8++qQx2kafNEbb6LMxjJGPPmmMttEnjbH+9FnXnYxp8R0hhBBCCCGgwJgQQgghhBAAFBhbjb29PeLj42Fvb2+T/fHRJ43RNvqkMdpGn41hjHz0SWO0jT5pjA23T1p8RwghhBBCCGjGmBBCCCGEEAAUGBNCCCGEEAKAAmNCCCGEEFKP9e/fH++++y4AIDg4GKtXr7ZaXxQYA1i3bh1CQkLg4OCAiIgIJCcn19j+2LFjiIiIgIODA1q2bIlvvvnGoM3OnTsRFhYGe3t7hIWFYdeuXSb3m5iYiCFDhsDLywsCgQBpaWk2N8aFCxciNDQUzs7OaNKkCZ555hn8/fffZo/T1P71sTHupKQkjBw5Er6+vhAIBNi9ezdr4zGGjzF+/fXX6Nixo6aWZM+ePXHgwAFWx1UTtsd88eJFPPfccwgODoZAILDqRbeu2B5jYmIiunbtCg8PDzg7O6Nz587YsmWLNYdgFlPGnZubi3HjxqFNmzYQCoWaP5z1nSljPH78OHr37o2mTZvC0dERoaGhWLVqFYdnyx6ur4184PvaaA21vW8Mw2DhwoXw9fWFo6Mj+vfvj4sXL1rtfP755x+89tprVnt9MI3c9u3bGYlEwnz33XdMRkYG88477zDOzs7MzZs3jba/ceMG4+TkxLzzzjtMRkYG89133zESiYRJSEjQtDl58iQjEomYxYsXM5cuXWIWL17MiMVi5vTp0yb1++OPPzKLFi1ivvvuOwYAk5qaanNj/Omnn5jDhw8zmZmZTHp6OjN16lTGzc2Nyc/PN2us9WHc+/fvZ95//31m586dDABm165dFo+lvo1x7969zO+//85cuXKFuXLlCjN//nxGIpEw6enpVhurNcd85swZZtasWcy2bdsYb29vZtWqVVYfR02sMcYjR44wiYmJTEZGBnP9+nVm9erVjEgkYg4ePMjVsGpl6rizsrKYt99+m9m8eTPTuXNn5p133uH2hM1g6hjPnTvH/Pzzz0x6ejqTlZXFbNmyhXFycmLWr1/P8ZlbjstrI1/4vDZaS23v29KlSxlXV1dm586dzIULF5gxY8YwPj4+THFxMWvnEBkZydnvd6MPjLt378688cYbOo+FhoYyc+fONdp+zpw5TGhoqM5jr7/+OvPUU09pvn7hhReYoUOH6rQZMmQI8+KLL5rVb1ZWlkWBcUMYo1pRUREDgPm///u/mgdVB3yNW5u1L/71YYxqTZo0Yb7//ntTTt8s1hiztqCgIN4DY2uPUa1Lly7MBx98YNnJssica4Yal384LWHJGNWeffZZZsKECWyfGqdsNTA2hqtrIxf03zelUsl4e3szS5cu1TxWUVHBuLu7M998841ZfZSWljITJ05knJ2dGW9vb+bzzz/X+f3Wv0bHx8czAQEBjJ2dHePj48O89dZbZvWr1qhTKaqqqpCSkoLBgwfrPD548GCcPHnS6HNOnTpl0H7IkCE4e/YsZDJZjW3Ur2lOv+ZqSGOsqqrCt99+C3d3d3Tq1Knug6zmtfgYN5fqyxgVCgW2b9+OsrIy9OzZ09zh1Im1xlyfcDFGhmHw559/4sqVK+jXrx97J28BLq+LfGFjjKmpqTh58iQiIyOtcYqERVxeG/mSlZWFvLw8nZ9pe3t7REZGmv17O3v2bBw5cgS7du3CoUOHcPToUaSkpBhtm5CQgFWrVmH9+vW4du0adu/ejQ4dOpjVr5rYomc3cA8ePIBCoUCLFi10Hm/RogXy8vKMPicvL89oe7lcjgcPHsDHx6faNurXNKdfczWEMe7btw8vvvgiysvL4ePjg8OHD8PLy8us8arxNW4u8T3GCxcuoGfPnqioqICLiwt27dqFsLAwFkZWPWuNuT6x5hiLiorg5+eHyspKiEQirFu3DoMGDbLOQEzE5XWRL5aM0d/fH/fv34dcLsfChQvxyiuvWPNUiQX4uDbyRf1za+xn+ubNmya/XmlpKTZs2IAff/xRc23avHkz/P39jba/desWvL298cwzz0AikSAwMBDdu3c3uV9tjXrGWE0gEOh8zTCMwWO1tdd/vC6vaWq/lqjPYxwwYADS0tJw8uRJDB06FC+88ALy8/NrGVHd8DVuLvE1xjZt2iAtLQ2nT5/G//73P0yaNAkZGRlmjcFU1hhzfWONMbq6uiItLQ3//PMPPv30U8ycORNHjx5l76RZUN9+v6zBnDEmJyfj7Nmz+Oabb7B69Wps27bNmqdILMDntZEvbP3eZmZmoqqqSmeG3dPTE23atDHa/vnnn4dUKkXLli3x6quvYteuXZDL5Sb3q61RB8ZeXl4QiUQGn9Tz8/MNPv2oeXt7G20vFovRtGnTGtuoX9Ocfs3VEMbo7OyMVq1a4amnnsKGDRsgFouxYcMG0werha9xc4nvMdrZ2aFVq1bo2rUrlixZgk6dOuGLL76wdFg1staY6xNrjlEoFKJVq1bo3Lkz4uLiEBsbiyVLlrA/CDNweV3kiyVjDAkJQYcOHfDqq69ixowZWLhwoRXPlFiCj2sjX7y9vQGAtd9bxsTNmAMCAnDlyhWsXbsWjo6OmDZtGvr162dRmlyjDozt7OwQERGBw4cP6zx++PBh9OrVy+hzevbsadD+0KFD6Nq1KyQSSY1t1K9pTr/maohjZBgGlZWVtQ+uBnyNm0v1bYxsvG+1sdaY6xMux8jFe1ZXXF4X+cLWGOvT+0ZqZ8vvV0hICLy9vXV+pquqqnDs2DGzfm9btWoFiUSC06dPax579OgRrl69Wu1zHB0dMWrUKHz55Zc4evQoTp06hQsXLpjct4ZFS/dsgLp0zoYNG5iMjAzm3XffZZydnZns7GyGYRhm7ty5zMSJEzXt1WWRZsyYwWRkZDAbNmwwKIt04sQJRiQSMUuXLmUuXbrELF26tNpSZtX1yzAMU1BQwKSmpjK///47A4DZvn07k5qayuTm5trEGEtLS5l58+Yxp06dYrKzs5mUlBRm6tSpjL29PSulbfgad0lJCZOamsqkpqYyAJiVK1cyqamp1ZZjaohjnDdvHpOUlMRkZWUx58+fZ+bPn88IhULm0KFDrI+RizFXVlZq3jMfHx9m1qxZTGpqKnPt2jWrj8cYa4xx8eLFzKFDh5jMzEzm0qVLzIoVKxixWMx89913nI+vOqaOm2EYzfsWERHBjBs3jklNTWUuXrzIx+nXialjXLNmDbN3717m6tWrzNWrV5mNGzcybm5uzPvvv8/XEMzG5bWRL3xeG62ltvdt6dKljLu7O5OYmMhcuHCBGTt2rEXl2t544w0mMDCQ+b//+z/mwoULzKhRoxgXFxejVSk2bdrEfP/998yFCxeYzMxM5v3332ccHR2ZBw8emD3eRh8YMwzDrF27lgkKCmLs7OyY8PBw5tixY5pjkyZNYiIjI3XaHz16lOnSpQtjZ2fHBAcHM19//bXBa/76669MmzZtGIlEwoSGhjI7d+40qV+GUb3hAAz+xcfH28QYpVIp8+yzzzK+vr6aMiujRo1izpw5Y/L46tO4jxw5YvR9mzRpEmvj0sbHGKdMmaLps1mzZszTTz/N6YWf7TGrSyLq/9N/HS6xPcb333+fadWqFePg4MA0adKE6dmzJ7N9+3YuhmISU8dt7H0LCgri9qRNZMoYv/zyS6Zdu3aMk5MT4+bmxnTp0oVZt24do1AoeDhzy3B9beQD39dGa6jtfVMqlUx8fDzj7e3N2NvbM/369WMuXLhgdn8lJSXMhAkTGCcnJ6ZFixbMsmXLqi3XtmvXLqZHjx6Mm5sb4+zszDz11FMWl3sVMIyJCR2EEEIIIYTYoEadY0wIIYQQQogaBcaEEEIIIYSAAmNCCCGEEEIAUGBMCCGEEEIIAAqMCSGEEEIIAUCBMSGEEEIIIQAoMCaEEEIIIQQABcaEEEIIIYQAoMCYEEIIIYQQABQYE0IIIYQQAoACY0IIsUknT56EQCDA0KFDjR5/9913ER0dbfD45MmTMXfuXCufHSGE1E8UGBNCiA3auHEjxo4diyNHjuDWrVsGx//55x90795d5zGlUonff/8do0eP5uo0CSGkXqHAmBBCbExZWRl27NiBd999FwMHDsQPP/ygOSaTyWBnZ4eTJ0/i/fffh0AgQI8ePQAAJ06cgFAo1Hw9atQoCAQCo//27t3Lx9AIIcSqKDAmhBAbs2PHDnh7e6N79+4YP348Nm3aBIZhAAAikQjHjx8HAKSlpSE3Nxd//PEHAGDv3r0YOXIkhELVn4ZNmzYhNzcX165dAwDs378fubm5yM3NxfDhw3kYGSGEWBcFxoQQYmM2bNiA8ePHAwCio6ORn5+PP//8EwAgFAqRk5ODpk2bolOnTvD29oaHhwcAVWCsnUbRtGlTeHt74/79+xAIBOjTpw+8vb3h7e0NsVjM+bgIIcTaKDAmhBAbcuXKFZw8eRLjxo0DALi4uGD06NHYuHGjpk1qaio6deqk87xLly7hzp07eOaZZwxe8/z58wgODoarq6t1T54QQnhGgTEhhNiQDRs2oFu3bmjdurXmsfHjxyMxMRGPHj0CoEqh0A+M9+7di0GDBsHR0dHgNc+fP4+OHTta98QJIaQeoMCYEEJshFwux48//qiZLVYbMmQIXF1d8dNPPwEALly4YBDo7tmzB6NGjTL6utnZ2WjTpo11TpoQQuoRShIjhBAbsW/fPty7dw/t27dHenq6zrG+fftiw4YNePPNN6FUKnH+/Hnk5OTA2dkZlZWV+Oeff7B7926jr6tUKnHz5k3cuXMHfn5+EAgEHIyGEEK4J2DUS5UJIYQ0aCNHjsS+fftqbJOSkoKMjAy89957yMnJwcyZMxEWFoZNmzZpqlXoO3DgAF577TU8evQIxcXFmqoVhBBiaygwJoSQRm7UqFHo06cP5syZw/epEEIIr+hjPyGENHJ9+vTB2LFj+T4NQgjhHc0YE0IIIYQQApoxJoQQQgghBAAFxoQQQgghhACgwJgQQgghhBAAFBgTQgghhBACgAJjQgghhBBCAFBgTAghhBBCCAAKjAkhhBBCCAFAgTEhhBBCCCEAKDAmhBBCCCEEAAXGhBBCCCGEAAD+HzInlfrqCzeUAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x280 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-12-08ec62d10308>:242: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  axes[1].set_yticklabels([''])\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x160 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset = 'CED'\n",
    "RMS_data,NRMS_data,ampx_data,ampf_data,names,dt_lyapunov,re_ordered, train, test, val = full_analysis(dataset,load=False)\n",
    "box_plots(RMS_data,ampx_data,ampf_data,names,dt_lyapunov,dataset,ylims=[(0.07, 0.8), (0.07, 100)],title='(b) CED')\n",
    "test_p_plot(names, RMS_data, re_ordered, test,dataset,title='(b) CED',xlim=(0, 400))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bf94b22f",
   "metadata": {},
   "outputs": [],
   "source": [
    "RMS_drive1 = []\n",
    "RMS_drive2 = []\n",
    "for k, item in re_ordered.items():\n",
    "    RMS_drive1.append([ti['test_p'][0].RMS(test[0]) for ti in item])\n",
    "    RMS_drive2.append([ti['test_p'][1].RMS(test[1]) for ti in item])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "06d1c431",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMS test set 1\n",
      "dt/tau     mean,  std mean,     min\n",
      "0.0001    0.2812± 0.003959    0.2645    20\n",
      "0.0001    0.2867± 0.004884    0.2561    20\n",
      "0.0003    0.2909± 0.004289    0.2626    20\n",
      "0.0005    0.3043± 0.005025    0.2659    19\n",
      "0.0010    0.3131±  0.00703    0.2693    19\n",
      "0.0017    0.3295± 0.009421     0.286    19\n",
      "0.0031    0.3351± 0.009848    0.2618    19\n",
      "0.0056    0.3316±   0.0149    0.2622    18\n",
      "0.0100    0.3168±  0.02697    0.1385    18\n",
      "0.0177    0.2646±  0.05705     0.126    18\n",
      "0.0316    0.2144±   0.1024    0.1231    18\n",
      "0.0562    0.2095±   0.0115    0.1234    18\n",
      "0.1000    0.1455±  0.01063   0.09401    18\n",
      "0.1778    0.1431±  0.01677    0.1146    18\n",
      "0.3162    0.1435± 0.007456    0.1216    18\n",
      "0.5623    0.1466±  0.01276    0.1177    18\n",
      "1.0000    0.1887± 0.006625    0.1363    18\n",
      "1.7782    0.1833± 0.006934     0.131    17\n",
      "3.1622       nan±      nan       nan    17\n",
      "5.6234    0.2229±  0.01874     0.157    17\n",
      "10.000    0.4347±  0.03556    0.1681    17\n",
      "dis      0.1866± 0.003138     0.169    20\n",
      "\n",
      "RMS test set 2\n",
      "dt/tau     mean,  std mean,     min\n",
      "0.0001    0.3535± 0.004053    0.3115     20\n",
      "0.0001     0.355± 0.005048    0.3101     20\n",
      "0.0003    0.3679± 0.006013    0.3119     20\n",
      "0.0005    0.3902± 0.005517    0.3294     19\n",
      "0.0010    0.4137±  0.01158    0.3619     19\n",
      "0.0017     0.437±  0.01105     0.362     19\n",
      "0.0031    0.4361±  0.01676    0.2967     19\n",
      "0.0056    0.4457±  0.01748    0.2447     18\n",
      "0.0100    0.2738±   0.0335   0.09957     18\n",
      "0.0177    0.2361±  0.04873   0.08927     18\n",
      "0.0316    0.1948±   0.1446    0.1006     18\n",
      "0.0562    0.1632±  0.01345   0.08849     18\n",
      "0.1000    0.1112±  0.01222   0.07479     18\n",
      "0.1778     0.101±  0.01393   0.08642     18\n",
      "0.3162   0.09969± 0.006837   0.07474     18\n",
      "0.5623    0.1008±  0.01133   0.07354     18\n",
      "1.0000    0.1653±  0.00738   0.09604     18\n",
      "1.7782    0.1658± 0.008265    0.1021     17\n",
      "3.1622       nan±      nan       nan     17\n",
      "5.6234    0.2156±  0.02826    0.1406     17\n",
      "10.000    0.5959±  0.04973    0.1683     17\n",
      "dis      0.1557± 0.006123    0.1174     20\n"
     ]
    }
   ],
   "source": [
    "print('RMS test set 1')\n",
    "print('dt/tau     mean,  std mean,     min')\n",
    "print('\\n'.join([f'{n:5.6} {np.median(r):9.4}±{np.std(r)/len(r)**0.5:9.4} {np.min(r):9.4} {len(r):5}' for n,r in zip(names,RMS_drive1)]))\n",
    "print()\n",
    "\n",
    "print('RMS test set 2')\n",
    "print('dt/tau     mean,  std mean,     min')\n",
    "print('\\n'.join([f'{n:5.6} {np.median(r):9.4}±{np.std(r)/len(r)**0.5:9.4} {np.min(r):9.4}  {len(r):5}' for n,r in zip(names,RMS_drive2)]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "adb2c4e1",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aa09cef482994ae7b624ad636bd89914",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1102 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./models-encoder-CT-CCT/con-0-0.00010-best ./models-encoder-CT-CCT/con-0-0.00018-best ./models-encoder-CT-CCT/con-0-0.00032-best ./models-encoder-CT-CCT/con-0-0.00056-best ./models-encoder-CT-CCT/con-0-0.00100-best ./models-encoder-CT-CCT/con-0-0.00178-best ./models-encoder-CT-CCT/con-0-0.00316-best ./models-encoder-CT-CCT/con-0-0.00562-best ./models-encoder-CT-CCT/con-0-0.01000-best ./models-encoder-CT-CCT/con-0-0.01778-best ./models-encoder-CT-CCT/con-0-0.03162-best ./models-encoder-CT-CCT/con-0-0.05623-best ./models-encoder-CT-CCT/con-0-0.10000-best ./models-encoder-CT-CCT/con-0-0.17783-best ./models-encoder-CT-CCT/con-0-0.31623-best ./models-encoder-CT-CCT/con-0-0.56234-best ./models-encoder-CT-CCT/con-0-1.00000-best ./models-encoder-CT-CCT/con-0-1.77828-best ./models-encoder-CT-CCT/con-0-10.00000-best "
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-12-08ec62d10308>:49: RuntimeWarning: overflow encountered in square\n",
      "  xamp = np.mean(np.mean(X**2,axis=1))**0.5 #np.mean(np.sum(X**2,axis=1)**0.5)\n",
      "<ipython-input-12-08ec62d10308>:55: RuntimeWarning: overflow encountered in square\n",
      "  d['|f|'] = np.mean(np.mean(fxu**2,axis=1))**0.5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Programs\\anaconda3\\lib\\site-packages\\numpy\\core\\_methods.py:178: RuntimeWarning: overflow encountered in reduce\n",
      "  ret = umr_sum(arr, axis, dtype, out, keepdims, where=where)\n"
     ]
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     "text": [
      "./models-encoder-CT-CCT/con-44-3.16228-best ./models-encoder-CT-CCT/con-44-5.62341-best ./models-encoder-CT-CCT/con-45-0.00010-best ./models-encoder-CT-CCT/con-45-0.00018-best ./models-encoder-CT-CCT/con-45-0.00032-best ./models-encoder-CT-CCT/con-45-0.00056-best ./models-encoder-CT-CCT/con-45-0.00100-best ./models-encoder-CT-CCT/con-45-0.00178-best ./models-encoder-CT-CCT/con-45-0.00316-best ./models-encoder-CT-CCT/con-45-0.00562-best ./models-encoder-CT-CCT/con-45-0.01000-best ./models-encoder-CT-CCT/con-45-0.01778-best ./models-encoder-CT-CCT/con-45-0.03162-best ./models-encoder-CT-CCT/con-45-0.05623-best ./models-encoder-CT-CCT/con-45-0.10000-best ./models-encoder-CT-CCT/con-45-0.17783-best ./models-encoder-CT-CCT/con-45-0.31623-best ./models-encoder-CT-CCT/con-45-0.56234-best ./models-encoder-CT-CCT/con-45-1.00000-best ./models-encoder-CT-CCT/con-45-1.77828-best ./models-encoder-CT-CCT/con-45-3.16228-best ./models-encoder-CT-CCT/con-45-5.62341-best ./models-encoder-CT-CCT/con-5-0.00010-best ./models-encoder-CT-CCT/con-5-0.00018-best ./models-encoder-CT-CCT/con-5-0.00032-best ./models-encoder-CT-CCT/con-5-0.00056-best ./models-encoder-CT-CCT/con-5-0.00100-best ./models-encoder-CT-CCT/con-5-0.00178-best ./models-encoder-CT-CCT/con-5-0.00316-best ./models-encoder-CT-CCT/con-5-0.00562-best ./models-encoder-CT-CCT/con-5-0.01000-best ./models-encoder-CT-CCT/con-5-0.01778-best ./models-encoder-CT-CCT/con-5-0.03162-best ./models-encoder-CT-CCT/con-5-0.05623-best ./models-encoder-CT-CCT/con-5-0.10000-best ./models-encoder-CT-CCT/con-5-0.17783-best ./models-encoder-CT-CCT/con-5-0.31623-best ./models-encoder-CT-CCT/con-5-0.56234-best ./models-encoder-CT-CCT/con-5-1.00000-best ./models-encoder-CT-CCT/con-5-1.77828-best ./models-encoder-CT-CCT/con-5-10.00000-best ./models-encoder-CT-CCT/con-5-3.16228-best ./models-encoder-CT-CCT/con-5-5.62341-best ./models-encoder-CT-CCT/con-6-0.00010-best ./models-encoder-CT-CCT/con-6-0.00018-best ./models-encoder-CT-CCT/con-6-0.00032-best ./models-encoder-CT-CCT/con-6-0.00056-best ./models-encoder-CT-CCT/con-6-0.00100-best ./models-encoder-CT-CCT/con-6-0.00178-best ./models-encoder-CT-CCT/con-6-0.00316-best ./models-encoder-CT-CCT/con-6-0.00562-best ./models-encoder-CT-CCT/con-6-0.01000-best ./models-encoder-CT-CCT/con-6-0.01778-best ./models-encoder-CT-CCT/con-6-0.03162-best ./models-encoder-CT-CCT/con-6-0.05623-best ./models-encoder-CT-CCT/con-6-0.10000-best ./models-encoder-CT-CCT/dis-0-best ./models-encoder-CT-CCT/dis-1-best ./models-encoder-CT-CCT/dis-2-best ./models-encoder-CT-CCT/dis-20-best ./models-encoder-CT-CCT/dis-21-best ./models-encoder-CT-CCT/dis-22-best ./models-encoder-CT-CCT/dis-23-best ./models-encoder-CT-CCT/dis-24-best ./models-encoder-CT-CCT/dis-3-best ./models-encoder-CT-CCT/dis-4-best ./models-encoder-CT-CCT/dis-40-best ./models-encoder-CT-CCT/dis-41-best ./models-encoder-CT-CCT/dis-42-best ./models-encoder-CT-CCT/dis-43-best ./models-encoder-CT-CCT/dis-44-best ./models-encoder-CT-CCT/dis-45-best ./models-encoder-CT-CCT/dis-5-best ./models-encoder-CT-CCT/dis-6-best defaultdict(<class 'list'>, {})\n",
      "[(0, 0.7469968041145516), (1, 0.3137793157147219), (2, 0.7252597609210618), (3, 0.773592519015593), (4, 0.5056474946756411), (5, 0.20795923188171503), (6, 0.4297355786809352), (20, 0.3900324089677014), (21, 0.7582519745875833), (22, 0.33930753245084955), (23, 0.35239433535267106), (24, 0.1781709172581313), (40, 0.4346544683472923), (41, 0.49033302973980875), (42, 0.7007592843304322), (43, 0.41016654615833736), (44, 0.8859446836409005), (45, 0.645988329218924)]\n"
     ]
    },
    {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dt_lyapunov= -0.030270862800681683\n",
      "dis_lyapunov= 0.9701827115493404\n",
      "tau_dt= 33.03506763531961\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x280 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x160 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset = 'CCT'\n",
    "RMS_data,NRMS_data,ampx_data,ampf_data,names,dt_lyapunov,re_ordered,train, test, val = full_analysis('CCT',load=False)\n",
    "box_plots(RMS_data,ampx_data,ampf_data,names,dt_lyapunov,dataset,ylims=([0.15,1.7],[0.03,20]),title='(a) CCT')\n",
    "test_p_plot(names, RMS_data, re_ordered, test,dataset,xlim=(0,1024),title='(a) CCT')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c04860e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMS CCT\n",
      "dt/tau     mean,  std mean,     min\n",
      "0.0001     2.043±   0.2031     1.054    18\n",
      "0.0001     2.388±   0.3529    0.2788    17\n",
      "0.0003     1.798±   0.3355     0.318    17\n",
      "0.0005     1.169±   0.4055    0.2991    17\n",
      "0.0010      0.35±   0.1803    0.3193    17\n",
      "0.0017    0.3599± 0.006658    0.2933    17\n",
      "0.0031    0.3546± 0.007292    0.3069    17\n",
      "0.0056     0.313±  0.01056    0.2429    17\n",
      "0.0100    0.3078±   0.0104     0.236    17\n",
      "0.0177    0.2985±  0.01203    0.2172    17\n",
      "0.0316    0.3199±  0.01347    0.2361    17\n",
      "0.0562    0.3524± 0.009465    0.2646    17\n",
      "0.1000    0.3325±  0.01463    0.2668    17\n",
      "0.1778    0.3103±  0.01504    0.2442    16\n",
      "0.3162    0.4088±4.059e+03    0.2913    16\n",
      "0.5623    0.4644±    0.195    0.3678    16\n",
      "1.0000    0.7557±  0.05417    0.4585    16\n",
      "1.7782    0.9501±1.349e+15    0.5698    16\n",
      "3.1622     1.523±   0.5322    0.6358    16\n",
      "5.6234     2.114±  0.04307     1.661    16\n",
      "10.000     2.219±   0.9579     1.647    15\n",
      "dis      0.9709±   0.1017     0.374    18\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print('RMS CCT')\n",
    "print('dt/tau     mean,  std mean,     min,    N models')\n",
    "print('\\n'.join([f'{n:5.6} {np.median(r):9.4}±{np.std(r)/len(r)**0.5:9.4} {np.min(r):9.4} {len(r):5}' for n,r in zip(names,RMS_data)]))\n",
    "print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0b399351",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}