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{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Create plots for panels used in figure 1"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Available binaries: ['C:\\\\Program Files\\\\R\\\\R-4.1.2\\\\bin\\\\i386\\\\R.exe']\n",
      "Using R:  C:\\Program Files\\R\\R-4.1.2\\bin\\i386\\R.exe\n"
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "from matplotlib.collections import PathCollection\n",
    "import seaborn as sns\n",
    "from scipy.optimize import curve_fit\n",
    "import dclab\n",
    "from lin_mixed_model import linmixmod\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "# folder where all panel plots for figure 1 will be stored\n",
    "savefolder = r\"plots\\fig1\""
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Panels A and B"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "#define a color seed for each patient\n",
    "color_dict = {'VS': 'C0', 'VL': 'C1', 'RS': 'C2',\n",
    "              'KM': 'C3', 'LM': 'C4'}"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [],
   "source": [
    "def weighted_means_and_errors(counts, counts_abs):\n",
    "    \"\"\"Calculate weighted mean values and error from the input arrays\"\"\"\n",
    "\n",
    "    weights = np.zeros_like(counts)\n",
    "    weights_normed = np.zeros_like(counts)\n",
    "\n",
    "    # sum up number of cell in each velocity range, for every measurement\n",
    "    counts_sum = np.sum(counts_abs, axis = 2)\n",
    "    sum_counts = np.sum(counts_sum, axis = 1)\n",
    "\n",
    "    # calculate absolute and relative weights\n",
    "    for k in range(len(weights[0,:,0])):\n",
    "        weights[:,k,:] = np.sum(counts_abs, axis = 1)\n",
    "        weights_normed[:,k,:] = weights[:,k,:] / sum_counts[k]     #needed for calculation of the error\n",
    "\n",
    "    # calculate weighted averages, mask nans\n",
    "    means = np.ma.average(counts, axis = 2, weights = weights)\n",
    "    means = np.array(means)     #remove mask again\n",
    "\n",
    "    # calculate weighted variance and from that the error\n",
    "    var = np.zeros_like(means)\n",
    "\n",
    "    for l in range(len(counts[0,0,:])):\n",
    "        var += (counts[:,:,l]-means)**2 * weights_normed[:,:,l]\n",
    "\n",
    "    errs = np.sqrt(var)\n",
    "\n",
    "    # make sure that probability sums up to 1\n",
    "    for i in range(len(means)):\n",
    "        means[i,:] = means[i,:]/sum(means[i,:])\n",
    "\n",
    "    return means, errs\n",
    "\n",
    "def logistic_growth(x, A, x_0, k):\n",
    "    \"\"\"The logistic growth fct\"\"\"\n",
    "    return A/(1+np.exp(-k*(x-x_0)))\n",
    "\n",
    "def deformed_probability_curve(df, v_min=0, v_max=3, binsize=.25):\n",
    "    \"\"\"Compute the values for the shape probability diagram to find a cell\n",
    "    in a deformed state for velocities between v_min and v_max in the DataFrame df\n",
    "\n",
    "    returns: *tuple* (deformed_bins, deformed_hist_normal)\n",
    "        - deformed_bins: *array* limits for the bin ranges of the histogram\n",
    "        - normalized counts for each velocity range\n",
    "    \"\"\"\n",
    "\n",
    "    bins = int(v_max/binsize)   #number of Bins in histogram\n",
    "    #find index of cells in a deformed state. Class definitions are:\n",
    "    #1-parachute, 2-slipper, 3-asym. parachute, 5-multilobe, 7-undefined deformed\n",
    "    #4-discocyte/undeformed, 6-tumbler\n",
    "    deformed_index = ((df['shape'] == 1)\n",
    "                      | (df['shape'] == 2)\n",
    "                      | (df['shape'] == 3)\n",
    "                      | (df['shape'] == 5)\n",
    "                      | (df['shape'] == 7))\n",
    "\n",
    "    #create new column in df that is True for deformed state\n",
    "    df['deformed'] = False\n",
    "    df['deformed'][deformed_index] = True\n",
    "\n",
    "    df_deformed = df[deformed_index]\n",
    "\n",
    "    deformed_hist, deformed_bins = np.histogram(np.array(df_deformed['velocity']),\n",
    "                                                range = (v_min,v_max),\n",
    "                                                bins = bins)\n",
    "    #get the counts for all events to use for normalization\n",
    "    all_hist, all_bins = np.histogram(np.array(df['velocity']),\n",
    "                                      range = (v_min,v_max),\n",
    "                                      bins = bins)\n",
    "\n",
    "    #normalize the deformed histogram\n",
    "    deformed_hist_normal = deformed_hist/all_hist\n",
    "\n",
    "    return deformed_bins, deformed_hist_normal"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
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      "text/plain": "<Figure size 432x720 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "patients = ['VS', 'VL', 'RS', 'LM', 'KM']\n",
    "labels = [\"P1\", \"P2\", \"P3\", \"P4\", \"P5\"]\n",
    "\n",
    "result_summary_folder = r\"data\\shape_analysis\\result_summaries\"\n",
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    "lw = 2\n",
    "xlabel = \"Velocity [mm/s]\"\n",
    "ylabel = \"Probability for deformed shape\"\n",
    "fontsize = 18\n",
    "color_ctrl = 'darkgray'\n",
    "color_ctrl_fit = 'darkcyan'\n",
    "alpha_ctrl = .99\n",
    "alpha_ctrl_fit = 1\n",
    "lw_ctrl =2\n",
    "v_min = 0.\n",
    "v_max = 3.\n",
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    "binsize = 0.25\n",
    "\n",
    "figsize = (6, 10)\n",
    "\n",
    "with sns.axes_style('darkgrid'):\n",
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    "    fig = plt.figure(0, figsize)\n",
    "\n",
    "    #plot control curves\n",
    "    #load data from txt file\n",
    "    results_ctrl = np.loadtxt(r\"data\\shape_analysis\\histograms_HealthyControl_deformed_undeformed.txt\")\n",
    "\n",
    "    v_ctrl = results_ctrl[:,0]\n",
    "    probs_ctrl = results_ctrl[:,3]\n",
    "    probs_ctrl_err = results_ctrl[:,4]\n",
    "\n",
    "    #fit the control data\n",
    "    fit_bounds=(0, [1, np.inf, np.inf])\n",
    "\n",
    "    ind_vmax = v_ctrl <= v_max\n",
    "    v_ctrl = v_ctrl[ind_vmax]\n",
    "    probs_ctrl = probs_ctrl[ind_vmax]\n",
    "    probs_ctrl_err = probs_ctrl_err[ind_vmax]\n",
    "\n",
    "    popt_ctrl, pcov_ctrl = curve_fit(logistic_growth, v_ctrl, probs_ctrl,\n",
    "                                     sigma = probs_ctrl_err, absolute_sigma=False,\n",
    "                                     bounds = fit_bounds)\n",
    "    for i in range(2):\n",
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    "        plt.subplot(2,1,i+1)\n",
    "        plt.errorbar(v_ctrl, probs_ctrl, probs_ctrl_err, color=color_ctrl, lw=lw, alpha=alpha_ctrl, label='CTRL', zorder=1)\n",
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    "        plt.plot(v_ctrl, logistic_growth(v_ctrl, *popt_ctrl), '--', color=color_ctrl_fit, lw=lw,\n",
    "                 alpha=alpha_ctrl_fit, label='CTRL fit')\n",
    "\n",
    "    for ii, patient in enumerate(patients):\n",
    "        bins = int(v_max / binsize)   #number of Bins in histogram\n",
    "\n",
    "        result_file = os.path.join(result_summary_folder, patient + \"_results_MCFM.tsv\")\n",
    "        df_results = pd.read_csv(result_file, sep='\\t')\n",
    "\n",
    "        dates = np.unique(df_results['date'])\n",
    "        dates = np.sort(dates)\n",
    "\n",
    "        day0 = dates[0]\n",
    "\n",
    "        color = color_dict[patient]\n",
    "\n",
    "        df_date = df_results[df_results['date']==day0]\n",
    "        #create new Dataframe to work with, leave out skipped cells\n",
    "        df = df_date[df_date['shape'] != 0]\n",
    "\n",
    "        healthy_index = df['health'] == 0\n",
    "        df_healthy = df[healthy_index]\n",
    "        unhealthy_index = df['health'] == 1\n",
    "        df_unhealthy = df[unhealthy_index]\n",
    "\n",
    "        #calculate percentage of healthy cells in sample\n",
    "        percentage_healthy = len(df_healthy)/len(df)\n",
    "\n",
    "        bins_healthy, deformed_curve_healthy =  deformed_probability_curve(df_healthy,\n",
    "                                                                           v_min=v_min, v_max=v_max, binsize=binsize)\n",
    "        bins_unhealthy, deformed_curve_unhealthy =  deformed_probability_curve(df_unhealthy,\n",
    "                                                                               v_min=v_min, v_max=v_max, binsize=binsize)\n",
    "\n",
    "        bins_plot_healthy = bins_healthy[:-1]+binsize/2\n",
    "        bins_plot_unhealthy = bins_unhealthy[:-1]+binsize/2\n",
    "\n",
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    "        plt.subplot(211)\n",
    "        plt.plot(bins_plot_healthy, deformed_curve_healthy, c=color, lw=lw, label=labels[ii])\n",
    "        plt.ylim(0,1)\n",
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    "        plt.subplot(212)\n",
    "        plt.plot(bins_plot_unhealthy, deformed_curve_unhealthy, c=color, lw=lw, label=labels[ii])\n",
    "        plt.ylim(0,1)\n",
    "\n",
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    "    plt.subplot(211)\n",
    "    plt.xlim(0,3)\n",
    "    plt.ylim(0,1.1)\n",
    "    plt.xlabel(xlabel, fontsize = fontsize)\n",
    "    plt.ylabel(ylabel, fontsize = fontsize)\n",
    "    plt.tick_params(axis='both', which='both', labelsize=fontsize-2)\n",
    "    plt.legend(ncol=2, fontsize=fontsize)\n",
    "\n",
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    "    ax2 = plt.subplot(212)\n",
    "    plt.xlim(0,3)\n",
    "    plt.ylim(0,1.1)\n",
    "    plt.xlabel(xlabel, fontsize = fontsize)\n",
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    "    plt.ylabel(ylabel, fontsize = fontsize)\n",
    "    plt.tick_params(axis='both', which='both', labelsize=fontsize-2)\n",
    "    plt.legend(ncol=2, fontsize=fontsize)\n",
    "\n",
    "    for i in range(2):\n",
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    "        ax = plt.subplot(2,1,i+1)\n",
    "        handles, labels = ax.get_legend_handles_labels()\n",
    "        handles = np.roll(handles,-1)\n",
    "        labels = np.roll(labels, -1)\n",
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    "        ax.legend(handles=list(handles), labels=list(labels), fontsize=fontsize-2, ncol=2)\n",
    "\n",
    "    plt.tight_layout(w_pad=2)\n",
    "\n",
    "    savename = \"fig1AB_baseline_shape_analysis\"\n",
    "    savepath = os.path.join(savefolder,savename)\n",
    "\n",
    "    fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Plots for panels F and G and calculation of p-values with linear mixed effect models"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
   "execution_count": 6,
   "outputs": [],
   "source": [
    "def plot_violins(dataframe, x_axis, y_axis,\n",
    "                 pal='tab10', color=None, saturation=.9, order=None,\n",
    "                 fontsize_labels = 18, figsize = (6,6),\n",
    "                 stripplot=False, stripalpha=0.3, stripjitter=.1):\n",
    "\n",
    "    ort = \"v\"     #plot orientation\n",
    "    color_ctrl = sns.color_palette('Set2')[7] #color for the control sample\n",
    "\n",
    "    if pal == 'chac_paper_custom':\n",
    "        # adapt new color palette, so that P4 is purple and P5 is red\n",
    "        pal_custom = sns.color_palette('tab10', 5)\n",
    "        palette = pal_custom.copy()\n",
    "        palette[3] = pal_custom[4]\n",
    "        palette[4] = pal_custom[3]\n",
    "        palette.insert(0, color_ctrl)\n",
    "    elif pal is not None:\n",
    "        palette = sns.color_palette(pal)\n",
    "        palette.insert(0, color_ctrl)\n",
    "    else:\n",
    "        palette = None\n",
    "\n",
    "    #some plotting parameters\n",
    "    y_label = dclab.dfn.feature_name2label[y_axis]\n",
    "    sns.set(style=\"darkgrid\")\n",
    "\n",
    "    f, ax = plt.subplots(figsize=figsize)\n",
    "\n",
    "    ax = sns.violinplot(x = x_axis, y = y_axis, data=dataframe,\n",
    "                        order=order, hue_order=order,\n",
    "                        palette = palette,\n",
    "                        bw = .2, cut = 0.,\n",
    "                        scale = 'area',\n",
    "                        inner = 'box',\n",
    "                        saturation = saturation,\n",
    "                        orient = ort,\n",
    "                        color=color)\n",
    "\n",
    "    if stripplot:\n",
    "        ax = sns.stripplot(x = x_axis, y = y_axis, data=dataframe,\n",
    "                           order=order, hue_order=order,\n",
    "                           palette = palette,\n",
    "                           alpha = stripalpha,\n",
    "                           jitter = stripjitter,\n",
    "                           orient = ort,\n",
    "                           zorder=1,\n",
    "                           color=color)\n",
    "\n",
    "    ctrl_median = dataframe[dataframe['patient']=='CTRL'][y_axis].median()\n",
    "    ax.axhline(ctrl_median, c='gray', alpha=.5, ls='--', zorder=1)\n",
    "\n",
    "    ax.set_ylabel(y_label, fontsize = fontsize_labels+2)\n",
    "    ax.xaxis.label.set_size(fontsize_labels)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=fontsize_labels)\n",
    "    ax.tick_params(axis='both', which='minor', labelsize=fontsize_labels)\n",
    "\n",
    "    for tick in ax.get_xticklabels():\n",
    "        tick.set_rotation(0)\n",
    "        tick.set_horizontalalignment(\"center\")\n",
    "\n",
    "    #adapt the sizes of the inner box in the violinplot\n",
    "    for child in ax.get_children():\n",
    "        #adapt widths of IQR range and 95% ci\n",
    "        if isinstance(child, matplotlib.lines.Line2D):\n",
    "            lw = child.get_linewidth()\n",
    "            child.set_linewidth(1.75*lw)\n",
    "        #change size of median marker\n",
    "        if isinstance(child, matplotlib.collections.PathCollection):\n",
    "            sizes = child.get_sizes()\n",
    "            child.set(sizes=3*sizes)\n",
    "\n",
    "    return f, ax"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Read in the data from disk"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [],
   "source": [
    "datafolder = r\"data\\RTfDC\"\n",
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    "datafile = \"20210610_RBC_baseline_plotdata.tsv\"\n",
    "filepath = os.path.join(datafolder, datafile)\n",
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    "df_rbc = pd.read_csv(filepath, sep = '\\t')\n",
    "df_rbc['patient_label'] = np.nan\n",
    "\n",
    "patients = ['CTRL', 'VS', 'VL', 'RS', 'LM', 'KM']\n",
    "patient_labels = ['CTRL', 'P1', 'P2', 'P3', 'P4', 'P5']\n",
    "for patient, patient_label in zip(patients, patient_labels):\n",
    "    ind = df_rbc['patient'] == patient\n",
    "    df_rbc['patient_label'][ind] = patient_label"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Projected area"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 0, 'Patient')"
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize=20\n",
    "\n",
    "fig, ax = plot_violins(df_rbc, 'patient_label', 'area_um',\n",
    "                       order=patient_labels,\n",
    "                       pal='chac_paper_custom',\n",
    "                       fontsize_labels=fontsize)\n",
    "ax.set_ylabel(r\"Projected area [µm$^2$]\")\n",
    "ax.set_xlabel(\"Patient\", fontsize=fontsize+2)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [],
   "source": [
    "save_name = \"fig1F_RBC_baseline_area\"\n",
    "savepath = os.path.join(savefolder, save_name)\n",
    "fig.tight_layout()\n",
    "fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Statistics"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
Felix Reichel's avatar
Felix Reichel committed
      "p-Value (Likelihood Ratio Test): 0.00330963172390973\n",
      "Estimate: 34.7950257450977\n",
      "Std. Error (Estimate): 0.231927862339469\n",
      "Fixed Effect: 1.9086524285161\n",
      "Std. Error (Fixed Effect) 0.489772119197715\n"
   "source": [
    "para = 'area_um'\n",
    "\n",
    "Result = linmixmod(xs=df_rbc[para], treatment=df_rbc['treatment'],\n",
    "                   #df_rbc['repeat'] begins at 0, but 0 values are excluded from the computation\n",
    "                   timeunit=df_rbc['repeat']+1, model='lmm')\n",
    "\n",
    "print(\"p-Value (Likelihood Ratio Test):\", Result[\"p-Value (Likelihood Ratio Test)\"])\n",
    "print(\"Estimate:\", Result[\"Estimate\"])\n",
    "print(\"Std. Error (Estimate):\", Result[\"Std. Error (Estimate)\"])\n",
    "print(\"Fixed Effect:\", Result[\"Fixed Effect\"])\n",
    "print(\"Std. Error (Fixed Effect)\", Result[\"Std. Error (Fixed Effect)\"])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "```\n",
    "p-Value (Likelihood Ratio Test): 0.00330963024378934\n",
    "Estimate: 34.7950257451201\n",
    "Std. Error (Estimate): 0.231929804369913\n",
    "Fixed Effect: 1.90865253031672\n",
    "Std. Error (Fixed Effect) 0.489752162986003\n",
    "```"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Deformation"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 0, 'Patient')"
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize=20\n",
    "\n",
    "fig, ax = plot_violins(df_rbc, 'patient_label', 'deform',\n",
    "                       order=patient_labels,\n",
    "                       pal='chac_paper_custom',\n",
    "                       fontsize_labels=fontsize)\n",
    "ax.set_xlabel(\"Patient\", fontsize=fontsize+2)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [],
   "source": [
    "save_name = \"fig1G_RBC_baseline_deformation\"\n",
    "savepath = os.path.join(savefolder, save_name)\n",
    "fig.tight_layout()\n",
    "fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Calculate p-value and other statistics"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
Felix Reichel's avatar
Felix Reichel committed
      "p-Value (Likelihood Ratio Test): 0.139245390924611\n",
      "Estimate: 0.259358320302857\n",
      "Std. Error (Estimate): 0.00213584459877687\n",
      "Fixed Effect: -0.00745073293252609\n",
      "Std. Error (Fixed Effect) 0.00513733930871573\n"
   "source": [
    "para = 'deform'\n",
    "\n",
    "Result = linmixmod(xs=df_rbc[para], treatment=df_rbc['treatment'],\n",
    "                   #df_rbc['repeat'] begins at 0, but 0 values are excluded from the computation\n",
    "                   timeunit=df_rbc['repeat']+1, model='lmm')\n",
    "\n",
    "print(\"p-Value (Likelihood Ratio Test):\", Result[\"p-Value (Likelihood Ratio Test)\"])\n",
    "print(\"Estimate:\", Result[\"Estimate\"])\n",
    "print(\"Std. Error (Estimate):\", Result[\"Std. Error (Estimate)\"])\n",
    "print(\"Fixed Effect:\", Result[\"Fixed Effect\"])\n",
    "print(\"Std. Error (Fixed Effect)\", Result[\"Std. Error (Fixed Effect)\"])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "```\n",
    "p-Value (Likelihood Ratio Test): 0.139245389471824\n",
    "Estimate: 0.259358319868594\n",
    "Std. Error (Estimate): 0.0021357200925621\n",
    "Fixed Effect: -0.00745073222179398\n",
    "Std. Error (Fixed Effect) 0.00513705367383118\n",
    "```"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Panels H and I"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Lymphocyte files"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [],
   "source": [
    "lympho_folder = r\"data\\RTfDC\\WBC\\Analysis-ShapeOut\\data_export_lymphos\"\n",
    "\n",
    "CTRL_file = \"SO2-export_0_20170803_CTRL_WBCs.rtdc\"\n",
    "VS_file = \"SO2-export_1_20170627_VS_WBC.rtdc\"\n",
    "VL_file = \"SO2-export_2_20170711_VL_WBC.rtdc\"\n",
    "RS_file = \"SO2-export_3_20170809_RS_WBC.rtdc\"\n",
    "LM_file = \"SO2-export_4_20170907_LM_0w_WBC.rtdc\"\n",
    "KM_file = \"SO2-export_5_20170829_KM_WBC.rtdc\"\n",
    "\n",
    "lympho_files = [CTRL_file, VS_file, VL_file, RS_file, KM_file, LM_file]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Create dataframe for lymphocytes"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [],
   "source": [
    "df_lympho = pd.DataFrame()\n",
    "\n",
    "for index, file in enumerate(lympho_files):\n",
    "\n",
    "    ds = dclab.new_dataset(os.path.join(lympho_folder,file))\n",
    "    df = pd.DataFrame()\n",
    "\n",
    "    for feat in ds.features:\n",
    "        if feat in dclab.definitions.scalar_feature_names:\n",
    "            df[feat] = ds[feat]\n",
    "\n",
    "    df['patient'] = file.split(\"_\")[3]\n",
    "\n",
    "    if \"CTRL\" in file:\n",
    "        df['treatment'] = 'Control'\n",
    "    else:\n",
    "        df['treatment'] = 'Treatment'\n",
    "\n",
    "    df['repeat'] = index\n",
    "\n",
    "    df_lympho = df_lympho.append(df, ignore_index=True)\n",
    "\n",
    "df_lympho['patient_label'] = np.nan\n",
    "\n",
    "patients = ['CTRL', 'VS', 'VL', 'RS', 'LM', 'KM']\n",
    "patient_labels = ['CTRL', 'P1', 'P2', 'P3', 'P4', 'P5']\n",
    "for patient, patient_label in zip(patients, patient_labels):\n",
    "    ind = df_lympho['patient'] == patient\n",
    "    df_lympho['patient_label'][ind] = patient_label"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [
    {
     "data": {
      "text/plain": "(0.5, 2.5)"
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
Felix Reichel's avatar
Felix Reichel committed
      "image/png": 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3HkopbrnlFpRSfPCDH5z247u7u7njjjsAOP/880vHh0Tp7rvvZtGiRZx//vksXbqUhx9+mPPOO4/29vZxny8gYDr4dctxWt+MX7ccv2YR27MRnulL4oZqZ9u0gEOgmrPvxmMoOqW1ZrnnYXqjC7JqrfG2b0P1dJfNpor8Cw8lKTzxxBMcd9xxE3pSE5FOp7n88svp7u7moosuGrXWFIlEWLp0KXfeeSdHHnlk6fi3vvUtbrvtNr74xS9y5513Tuv1GhsT07o+4LVCEpgHQFuhmP1ZVxenuXnutq2Yq/cmZdGjaGpKzql77O8v3kvEcXC0JhYLU1szthajkesjtro8LS0qTpQ8z+PGG2/k4YcfZvHixdx9990Thu7Go7e3l0svvZSNGzfytre9jc985jOjzt91113jPu6KK67gwQcf5NFHHyWbzRKPT57TP5KengxKVWfzr4Dyks26dHWNn5I7F5ir9zb0/e7vLxAKzZ177O8vVnAIDXpIBdtlIDVOVYdUnsyi1Iz1k5JSTDiZr6jwXT6f5+Mf/zgPP/wwS5cu5b777pvWGs+uXbs4//zz2bhxI29/+9u54447puxuSylZvXo1nucFIbyAw4ZhVNRXLmCaDHlMc4Wh8N1QGVY5QU94IWXZGhxWzDdkYGCAiy++mPXr13PMMcdw//33s3Dh1LOUXnrpJS644AJ27drFBz7wAdauXTvGw8rn8zz33HNs3rx53OcoFIodJ8Oz0AI44LVBtVaZDihSja0rJmPofjKDn8tS4oPnodJpVCaDVgrZ2FQ2myoifGfbNldccQXPP/88p512Gt/61rdIJKa+TrNz504uueQSent7+djHPsb1118/rqp3d3dz/vnnc9RRR/Hzn/981Ll8Ps+mTZtoaGigtTXYbR9weKj2fS6vdaqxHfpkDE2SclKSkxIpJH7bPvRAPwzVxQuHoHVR2WyqCNn/xje+wZ///GdOPvlk7rnnnmkJklKKT33qU/T29vKRj3yEz3zmMxN+cBYvXsyxxx7Lyy+/PKr2ndaaW2+9ld7eXi688MI598ELqBwCT6m60XpurR0PfR59rdllmhhodCo1LEiJBHLRYvy2ffgdHWWxadanbV1dXaxbtw6A5cuXc88994x73eWXX044HGbt2rUApRJBjzzyCC+++CKhUIhYLFY6P5KmpiYuvPBCAG6++WYuuugiPv3pT/Ob3/yG1tZWnnnmGV588UVOPfVUrrzyysNxmwEBQCBK1ct+1bTnCEOfR08pLECEQpgrjgTXBcOAEWvy/p5dGGXYxznrovT888/jDpZUf+ihhya87uKLLyYcDpfStYdE6emnnwbAcZwJ6+OtXr26JErHHXccDz74IHfccQdPPvkkjz32GK2trVx99dVcdtll08r0CwiYLoEoBVQSQ4lgvtYklcKQEqSEcdbVdaGAzuUQ+3VdmHGbDuuzT4F3vvOdpQ2tU2H/az/72c/y2c9+dlqvuWLFCm6//fZpPSYgYCYI1pQCKomhChX+YG3RSkjkCL4hVYpSPrZt43lFL9OyQoTDkTkXXphrBCnhAZXEUC0/XynSUiIn8eRFJHLYvSQIRKkq8TyXTCY1atHV81xsu0AyWVsRs52A8Qk8pYBKYujz6CmFIwQ0NE587aIlZbEpGL2qDK012Wxm3CwgpXxyuewsWBUwVYI1pYBKopToMDieiGUrMObPHxVxEaaJuXxFWZIcIPCUqg7Pc1HKn/C86zoopQJvqUIJRCmgkjAMAyFEaU3JDFmYS5ejlyxFp1MgDURtLaKM48mEorT/5tJD5X3ve9+MPt9rDc/zuPvu29Facc45f0NNzUSN4nQgShXMXGt9EFD9GIaBNyhKQ+E8EQohyljFYSQTitJ11103o4vmgSgdGr29Paxf/z/E43FOO+30SURJBIJUwQSJDgGVhmma+IPbcirBk580fLd48WJOOeWUQ3qBZ555hj179hzScwQMf1iy2eykHxzLsgJRqmCC9yag0jAMg4JtA2Ca5e0yOx6TitJJJ53El7/85UN6geuuuy4QpRlgpBBJaSKEGJPsIKVBNDr1lhsB5ScI31Urc3erhWEY+INjSSW0e59QlBKJBNHo2GZP0yUajU6rll3A+IRCwzusw+EwyWQdtp3HG+yDMrRPKZiJVzZz7f1JuykKXgEVUYjC3B245zLmiG0KlbBlYUILnnnmmRl5gZtvvpmbb755Rp7rtczIdhqRSATDMIjFArGvNuZKP568l+PlgS1kveIWBK/ZQ/iCAaef2lDd7BoXMC1GRmEq2lOaCN/36evrw3XdUeEjpRS2bdPd3c2jjz46puNrwKEx8oMT9HuqXuaCp+Qpj419L+IoZ9RxbWhe6t/ECQ0nEjPnZhh5rlUJBzDMKvGU9kdrzde+9jX+4z/+o9QMbzICUTp8RCKHv9RHwOFBTNDZs5roLHSMEaQhlFa05faxoubIMlt1eJnL5btGh++qyFO6//77+f73vw9AfX09vu+TTqdZtGgRqVSKgYEBoJix9+EPf/jwWBsAQDQamW0TAg6SuTC4DTj9k57vP8D5gMpipBBVgihNedr205/+FCEEd955J0888QTXX389APfeey9//OMfefDBB1m2bBldXV2cccYZh83gAIhEDj0BJWB2mAuidKBMNDGHM9XmIpYQJJUiqXVFvHNTFqVt27ZxzDHH8M53vhMopotrrXnqqaeAYp+iu+66C8dxuPfeew+PtQHAcA+UgIDZoD5cf4DzDWWyJOBQ0ErhbdvK8nSKZa7LctfDffqP+Pv2zqpdUxYl27ZZtGi4T/sRRxyBYRij+hstX76ck046iT/+8Y8za2XAKObGbDugWmmOzCNijB9CNqXJgtjCMlsUcDD4217Fb9tXbOxHMQlHex7e9m34bftmza4pi1J9fT3pdLr0u2maLFiwgFdeeWXUdc3NzXR1dc2chQEBARWFIQyOqz+e+nDDqFCddCTH1h0/oWAFVA7aLqA6OgCQYkiUht9Lf8/uWcs0nHIc6IQTTuDxxx9nz549JY9p5cqVPPXUU+RyOWKDzZ+2bds2SV22gICAuUDICHN03THYvk3Bz2O1WQhPELfmZir4XEP19zMkOWKwHuPICYZ2HHQ2i5iFwgdT9pQuvPBCHMfhgx/8IPfffz8Af/VXf0Uul+NTn/oU//u//8sXv/hFXnnlFY4++ujDZnBAQDUz1/a5hI0wtaE6hBeElKuVITESFbKxe8qi9Ja3vIX/7//7/0ilUjz77LMA/PVf/zXHHnssjz32GJdeeik//OEPsSyLq6+++rAZHBBQ3cwtUYLRQjvXRHeuIuvqSn7RkBiN3EMnQiFEfHa83mmlcV122WWcffbZ9PT0AMWc9h/+8Id873vf44UXXqClpYUPfehDrF69+rAYGxBQ7Sg19wZtNdiLB4qiFCTiVD4iHEHOn4/f0THsKY04b7QumrX3cdq5xfPmzWPevHml36PRKFddddWMGhUQMFcZOYDPFQJPqToxlq8EIWGo9JUUCNPEWLQYY2HrrNl1QFHq6enhscceo6enh4ULF3LmmWeSTCbLYVtAwJxD60CUAioDISXmipXsa25mx84dJMIRrNefhpjlqg6TitK6dev42te+huMM17lKJpPcfPPNvPvd7z7sxgUEzDXm4qAdiFJ1o6QkZUikZc26IMEkovTEE09wyy23AHDssceyePFitm7dyiuvvMK1117LkiVLOOaYY8pmaEDAXMD3/dk2YcYZ6f35vk+X20lHvp2CV8CSFvOi82iNLcKQQSWSgAMzYfbdunXrEELw5S9/mYceeojbbruNn//853zqU5/C8zzWrVs3o4Z0dXXxuc99jjPPPJPjjjuON7/5zVx77bXs3r17So/v7+/n5ptv5u1vfzsnnngi5557Lr/61a/GvTafz3Pbbbfxrne9ixNOOIH3vOc9rFu3LpjlBRx25qYoDf/8SnoLO9LbyXt5NBpHOezJ7uHF/g34yps9IwMmZGjcq5Txb0JR2rBhA0cffTQf+MAHRh2//PLLWbhwYSktfCbo6urivPPO44EHHmDFihVcdNFFHH/88fziF7/gb//2b9mxY8ekj8/lclxyySX86Ec/4sQTT+TDH/4wqVSK//N//g8//OEPR13r+z7XXHMN3/rWt1i2bBkf+chHME2Tm2++ma997Wszdk8BAePhuu5smzDjDHlKKqLoKXSPe03WzdKeby+nWQFVyoSi1NfXx5IlS8Y9t3r1ajoGS1TMBGvXrqWtrY3PfOYz/Ou//ivXX3893/72t/nqV79Kf38/X/nKVyZ9/H333cfGjRv5p3/6J775zW/y6U9/mp/+9KcceeSRfP3rXy+lsAP86le/Yv369VxyySV897vf5dprr+Whhx7i9NNP5/vf//6oWn4BATPNXPaUVHzyJI7uQlB+LODATChKrusSCoXGPRePx6fU6G+qPPLIIzQ0NHDxxRePOn722WezZMkSfv/730+aSnv//ffT1NTEBRdcUDqWSCS48soryefz/PznPy8dX7duHaZpcuWVV5aOWZbFJz/5SbTWPPjggzN2XwEB++P7cziEdYCt+K6ae17iXGBoUlHx4btyGej7PldccQVXXXXVuK2iQ6EQruvieeN/mXft2kVHRwennHLKmAZVb3jDGwB4+umnAXAchw0bNrB69Wpqa2tHXXvCCScQjUZL1wYEHA4m+hxXM0NjhXAFkw0bQV28ymRowq8qZLvCrKfDGIYxxkMaYuvWrWzbto0lS5ZM6LXt2rULYNxQY3NzM+FwuLQmtXfvXjzPG/dawzBoaWk54PpVQMChMBfXlIaQGTlpg7/50QVltCZgqijlD/5bGaI05dp35UYpxS233IJSig9+8IMTXtff3w8wYWXyRCJRarkxdO1Em3+TyST5fH5OzmYDKoORe/7mGsITLE+uRI5TnmZxfAkNQfO/imRIjHSFiNKkntJzzz3HDTfcMO5xYNxzUGxC96UvfemgjdJa87nPfY4nnniC4447bkJPCobDIRN5UqFQiHw+P+VrodjQcDrdXRsby1vevbk5qKhRrcRi5px7/+Lx4bD50YuWcVx4JZt7NrMvuw9TmCyvW87SmqUYcvY3Zh4sQ72GGhsTNDXNrffPMIr3prWuiM/mpCPvrl27SuGx8fjJT34y7vFDESXP87jxxht5+OGHWbx4MXffffeEIgIQDoeBiWegjuOUej0NXTtRCMVxHIQQRKPRadnc05Mpa6HNrq70gS8KqEi6uwfm3Ps3NOkD6OxOsaOwjQFnAAAHjxczL/Oy3MEx9ccSM6tzXWno+93Tk0Hr8CxbM7PYdnHs9JUq22dTSjHhZH5CUZqNIqv5fJ5rrrmG9evXs3TpUr7//e8zf/78SR8zlLCQyWTGPZ/JZGhsbJzStel0mlgsNm7CRUDATDAXw3cjO5buye1mwBsYc42jHDb3v8Trml5fTtNmjErJTDscKH8w0aHSw3flFqWBgQEuu+wynn/+eY455hjuvffekphMxtKlSwHYs2fPmHOdnZ3Yts2yZcsAaG1txbKsca/1fZ/29nZWrFhxaDcSELAfIwc027Zn0ZLDxWD4R2i67S6EMX6yQ8Ev0G/3UReuL6dxM8pcbMsxtKzh+35FtB6ZskswHRV95JFHpmWEbdtcccUVPP/885x22mn8+7//+5QECWDhwoWlChP72/jUU08BcPLJJwNgmiYnnngimzZtGuMtvfDCC+Tz+dK1AQEzxchwsePMPVEqRRZMUEw+TmS9bBksCpgOvhre0F0J3tKURemTn/zkAXejd3V1sWbNGtasWTMtI77xjW/w5z//mZNPPpl77rmHxDT7wr///e+nvb19VEmhTCbDt7/9bSKRCGeffXbp+DnnnIPjOKxdu7Z0zHVdbr/9dgDOO++8ab12wMzQl3PY3JHm+b0DbOnMkCrMndRp2x7eaD6Tm84rhZIo+aNDeeNhSasMFgVMh5HZxpVQcWTKKWa/+c1vuPrqq7n99tvHzUx74IEHuPXWW0mlUsSn0Ua3q6urVNx1+fLl3HPPPeNed/nllxMOh0tiMlL4LrvsMv77v/+bf/7nf+bpp59m8eLF/OY3v2H37t3ceOONNDQMp6Kee+65PPTQQ/zgBz/g5Zdf5thjj+Xxxx9n8+bNXHLJJaxatWrKtgfMDK90ZWhLDXsQAwWPjrTN0oYYS+qnl3RSiYwUorkYvhsSJaEE9eEG+p3+ca8zhEFjeGoRkIDyoUYIUVWJ0qmnnsr/+3//j6uuuoo77rijlBG3fft2brzxRp599lm01px11ln84z/+45QNeP7550vhjYceemjC6y6++GLC4TB33nknMFqUEokE69at4xvf+AaPPvoojz/+OMuXL+cb3/gG733ve0c9j2EY3Hvvvaxdu5Zf//rXPPvssyxZsoTPfe5zXHjhhVO2O2Bm6M7YowRpJDt6c9RFTWoi1T27HilEc1GURq5BLE0u48W+DXjjVARfmlwWtK+oQLxRojT7ezSn/An53ve+x9VXX81jjz3Gxz/+cW677Tb+7d/+je9+97vYts2SJUu48cYbOeOMM6ZlwDvf+c5pFUGd6NqmpqYpp6EnEgluuOGGCfdZBZSPiQRp5PnqF6WR4bv8JFdWPzEzzvH1J7Ivt4ceuwelfWqsWhbGWqs6wWEu41dr+C4UCnHXXXdx3XXX8atf/YozzjiDQqGAaZp8/OMf58orr5x0P1FAwHjk3eKXwPM8fv3rn1OTrOHMt76jdL7gzv6X5FAZHb6be2tK+xM1o6yoOZIVHDnbpsw4czE13Pd9BKCpjNqM0/KlDcPg1ltvJZFI8OMf/xjTNLn//vs5/vjjD5d9AXOcsCkpeIrenh5efPEFgFGiFDarf8/YSO8on5/7ojSXme106UNFaw1aI0bsxfQ8D1NKXKUqW5Qm65f0iU98otQS4otf/CK33norljU6xHKgTa8BAQDzk2EGCh5iAu1pSUbKa9BhoFAohijDljHnw3cBlYnKZVG7d6F6etBaIxMJZOsijKZmfN/HGBSlig7fnXnmmQecFQgheOGFF3jXu9415vimTZtmxsKAOc38ZJienEt391hVWlgToS5W3etJMOwpRUMGhXwgStVMNYbvVCaD9+IL6BGCozIZ1JbNUCjg+z4Ro/j9q2hPaeHCheW0I+A1ihCCY+Yn8NJRDK+Alib1UYsFNWGaEtVbY0zYKWSmDaFcrPQuTKGIhU1y+dxsmxZwUAz2jKrC8J2/c/soQRqJt2sH2nMxzGJEoqJF6X/+53/KaUfAaxghBC01YcLpvQAcv3D8NiTVgtGzGSO1u/R7LLuL1zdksCMxds/BzbMBlYt2HNRgy57xUL5PrVJopQgrxauP/DeL3/AmZEMjsmUBwip/pGLCVeSnn36abdu2HfILbNu2LejmGnBAptMqpJKR6X2jBAnAcR0MCUcmc3hO4CkFlJEDrBEpX5HwFb7rYkvJb559uhju27UT97k/oWdhEjWhKF100UV8+9vfPuQX+Na3vsVHPvKRQ36egLmNaVb/2hGAkd6v1Yv2Cdm9HJm0WRbJcHKsA5Hrnh3jAl57hMOISSZ8nu/TqBRD0lUYUadROw7e1lcOs4Fjqf5824A5wVzxlIQzouCo8jC7NtDk7WFhxKHGdJgXymG0PYvRf+hRiICAAyGkRLZM3IZeuy6+YEQT+9GJHKq/H13mvXWTjgS/+MUv+NWvfnVIL1AJVWcDKp+5IkpamgjfATRmx3MYqV1YXpa4pUiaHgsiLm62l7Dcih9vASs22yYHTINqHM+MxUvQ+Ryqp2fUcREO49eMXr8dL7lQ2zYiXL6tGZOOBEqpGXkTqjFjJaC8zBVRUokFGAM7EbkuZKaYuOH7CgFIAQUlEb1bIV6PkdmHX79ydg0OmCLFMcz3q0+UhJRYq49BpVOo7m5QClFTg2xsQu/YXrymVNNhrCqJcHmzYCccCTZv3lxOOwJe4xiGMdsmzAh+7VJkrgsj34MY7FOjlI8Q4GDhKo3v2YhCH3hzrzjrXEep2d9cerDIZA0yOdoz8mMxbDEYv9NjPSVZV19WLwmCNaWAgJnFCOG2nIIO1aAH937YniblhchTbMPhex7Cy4NV/W05XjsUR+tqDN9Nhq8Uu0dFKTSqrxe1ZzeqswNRV4cu8z0HohQQMNOYEVTtEtwFr8evW06nHcLBYqjcmOf7YFj4ydbZtTNg2lTC5tKZxPd9clLiDn84UQMDEIkiGpvwd2zHe+E5dBnvOxClgIDDgB9vQcea0ZFaPM9HSoExuLbqeT7OoreAUb0VK16rzD1RGryfwc+mNgzMpcuQTU2IwZC6ymbxt75aNpsCUQoIOAz4dcvRZgy/dhk7sxZ5beEKix7bYm/yZFTdstk2MeAg8Dz3wBdVEUMFWIeFYPzafqqnG+04ZbEpEKWAgMOBGcFdeCp+zRK6c9DrxekSTfy+u5YuMwjbVSuuO9c8pUFRGsxwmKjerNYaXaYK93MjDzcgoBIxwngNR/FEVwynphkp6+l2+nHKNOMMmEmK4S3XnVvvXalVxRS27YgyVV0JRCkgYCbx8hj925HZDoT2sUWUxpCLaQhMWfzi23aQCl6tOM7ceu+GREkPrSlNEL6TySQiVp6N3ocsSp7n8Zvf/Ia2tjaOP/54TjvttJmwKyCg+nDzWG1PDVZ0KKJy3axK5miy8phGI/DaaIk+V5lrXu6Ypn7jaJIwDIxlK8pjENMUpYcffpi77rqL66+/nr/8y7/E930++tGP8uyzz5auec973sOtt94644YGBFQ6Zv+rowQJhrO15ofymKK43yPwlKqPoeZ+c+29GxKloao7vmUiGxvR/f0gBLKxEWPhorJ5STANUVq/fj3/+I//CED/YH+O//qv/+KZZ56hsbGRs88+m/Xr1/OrX/2K008/nfPOO++wGBwQUJEoH5ntHHPYHay63JZVbNy9E0OKOTewvZaYa15uKSV8EC0E1upjZsmaIlPOvvvhD3+IlJLvfve7fPCDHwSKBVuFENx00018+tOf5j/+4z+oqanhoYceOmwGBwRUJNoDPXbn+9DC+LP7NNu7C2g999YlXhMMekqFOdakseQpDf5eCd3epyxKGzZs4JRTTuEv/uIvAMjlcjz11FOEw+HSsWQyyUknncQrr5S/B0dAwKwiQ2hz7GbYofCdO0Kv5tq6xGsBf7DUzlwVpSF0BajSlEUpl8vR2NhY+v2JJ57A8zxe97rXEQqFSscNwyiFLAICXjMIgUouGnN4/++CEHNvXeK1wFDYbq6J0tgKFbMvSlNeU1q4cCE7duwo/f7YY48hhOCMM84oHXNdlxdffJH58+cftEEdHR285z3vYc2aNXz0ox+d9No//vGPU+pqu2XLltLP1113HT/72c/Gve6yyy7j2muvnZa9AQFD+LEWjK4NGAM7AYEOJfHsHK4WeJhAUaCC8F3l47uKbL9NIePi+z4RUYsv+snn51Y7+/0THSrAUZq6KJ1yyik8/PDD3HHHHbS0tPCzn/0MIQR/+Zd/CRTF5Gtf+xpdXV1ceOGFB2VMNptlzZo1ZDKZKV3f2trKVVddNe65F154gd/97neceuqpo45v3ryZpqYmLrjggjGPOeWUU6ZvdEAAIAr9WB1/AjOGqlmMKPQhtAdOhs2pGEa4+KUXBJ5SpeMWfHp2Z1B+cYTO5fMkQw3ErVoKubkVet3fU6qE8N2URenqq6/mmWee4e6770YIgdaaj370o7S2FkumnHPOOfT19bFkyRI+/vGPT9uQvXv3smbNGjZu3DjlxyxatIg1a9aMOZ5Op3nf+95HfX093/zmN0vHXddl+/btvPWtbx33cQEBB4vZvRE8G5nrQhR6EdpHm1Fcz2NZvMAur5hSK4SYcxlcc43+9lxJkGB4DVAKA/Jzq4huVYfv5s+fzwMPPMC6devo7u7m1FNP5T3veU/p/Fve8haampq48sorqa2tnZYRP/jBD7jjjjsoFAqcfvrpPPnkk9N6/P589atfpa2tja9//es0NzeXjm/duhXXdVm1atUhPX9AwEhEoQ9hpzD6XkGMaNwnnCzRfBsrkzn29tcPHgw8pUrGKXi4hdGL/+6IcKtb8HEKHqHI3CiGM1Rgdjj7ropECaCuro5PfOIT4577l3/5l4M24r777qO1tZWbbrqJHTt2HJIovfzyyzz00EOccsopvO997xt1bmhtKRClgJlEeAVktn2UIAEIN0PU7uD4mhxP9Be//KbQFMpU2DJg+vju2EHZHvKUpMS27eI15W3GOiPofB6/bR86NQDSQDY14e2XCVoBmlQZte9uuukm3vSmN2EYxqhkioPhG9/4BkqpcRMWhkRp+/btXHDBBWzZsoVIJMJb3/pWPvnJTx5SgkbAaxdtxRCF3lHHhJNC5rrBHz0TDUtFrR4os4UBU8W0xiYkO3Zx4A5ZYRzbHveaSkf19eK9tGmUJ6TSKeI7d2JoPSLRYfZVacqiNJUstyGEEPzbv/3blK8fmcF3KOzYsYPHHnuMU045hde97nVjzg+J0t1338273vUuTjrpJJ5//nkefvhh/vd//5cf//jHtLS0TPt1GxsTh2z7dGhuTpb19cpN1d2fisP2GnAHM7O0AjsNERPQuPvtvJhvpGhujFNqRTuHqLr3bjwKYOeH11pMszhQh0Jhck6KhYvrZsmwg0P7PtnNz6GTY927sHJp9X1Sw1fP+ns4ZVF66qmnDnjNUAKEmEIZ9MPBD3/4Q7TWXHrppeOej0QiLF26lDvvvJMjjzyydPxb3/oWt912G1/84he58847p/26PT0ZlCrfDKOrK12215oNqvH+rPAyrNQGUB7CyyHzxVCe7fr0u2E0Aob+37Pp3rMLHW2c9DmrkWp878YQhUx3AeUVv9N9/cV7Mk2Tzu5dVXePflcnXs/4NudyBeq1JjXoISmly3J/UooJJ/NTFqV169aNe1wpRSqV4rnnnuP+++/nXe96FzfddNPBWXoI+L7PL37xC+bNm8fb3va2ca+56667xj1+xRVX8OCDD/Loo4+SzWaJx+OH09SAOYjfcCRCuch8NzLTjjajaCtKr9+OL/pLooQQKKXwHBsjOttWB+yP8jVOzsMMG9ieiwBcv0DK6SZhhCi4OVzXxbLK01toRphkw6/neZhiRN/ZagrfHWgPzzve8Q7e/va38+EPf5jjjz+eD3/4w4ds3HT485//TF9fHxdddNG0PTUpJatXr2bPnj20t7ezYkX5yrQHzA1UzRKUkwJpoiKNmEKA1tieotOOlBaVBKAQ5HWI8gZ9Aw6EW/Dp2ZMpeUhiqLGf55B1+oiEiy3sC4VCdYlSZOKsDM/zEHJ4vJTKx9+3F5FIIGuml0U9U8xoUPvkk0/mda97HT/60Y9m8mmnxPr16wE466yzxj2fz+d57rnn2Lx587jnh8qHhMNzax9CQJkQAq/5eNyWU/DrluLXr0AlWthl11DAGnkZ3bZFwZv9GWnAMFprevdmS4I0EifnUxNpJhQqjg3Vts9MNjQizPH9D89zyZgmYtBDMnwfb/s23A0v4D7/Z/Qs3OuMr7TW1dWxa9eumX7aA/Lcc89hWRYnnnjiuOe7u7s5//zzue6668acy+fzbNq0iYaGhtJm4ICAg0FHG/CbjsFe+X68eSeSdzyMEZ67QrItEwnSwisMO+vhu2OrvAM4rkMy3IApiwN7tdW/E4aBeeRR40aQ8hqkBnNwE62pFKqnB60UKpPB3fhi2UN6MypKHR0d/PGPf6S+vn4mn3ZKbN68mRUrVowqDjuSxYsXc+yxx/Lyyy+Pqn2ntebWW2+lt7eXCy+8cNaSNALmGNLAm3cCGwaSdLgxfAwAPAwUouoGtrmOa/sTn3NdTMPCNIpjS7V5SlD0lqyTXofRsgAZiyOTScxly0kJwSrbLnlKaFAd7fi7dqCVQufz6J6esto65TWlb3/72xOe8zyP7u5ufvOb35DJZDj77LNnxLj9Wbt2LcCYEkF9fX2kUilOOumkSR9/8803c9FFF/HpT3+a3/zmN7S2tvLMM8/w4osvcuqpp3LllVceFrsDXrv05T08mUBhA25pv1IgSpWFNCaejPqeh5QSKYsTi2rtgiBiMcwVK0u/q2yGWGqA8KjSQoM/54piJJqbUakBZFNT2eycsijddtttE3oRI927Y445hquvvvrQLRuHoXTt/UVpqBNuMjl5fv1xxx3Hgw8+yB133MGTTz7JY489RmtrK1dffTWXXXbZhF5WQMB0EE4aUegHIfHtPGZiOCAx9B2qxtn2XCaatEh15sfr04jneXjaxjCL72O1itL+qM4OXNdBMjyua61L23rUQB+yubm4EFpGpixKn/jEJyYUJSEE8Xico446itNPPx15CJsCzz33XM4999xxz41sQTGSZcuWTXhuf1asWMHtt99+0PYFBEyI72J2bUDme4r7lQq9nFm7CyJ1PDZQXCQf+goFnlJlIQ1JzbwoA+1j1/pc3yHn92MMekpzpvWI4+C4LrYxerxWyscwTBhcZ5KN5d1PN2VRCqpqBwRMjtn1AjLfi8j3YKT3oLWiThZoiQ/wB10HDJcbyufnTqKDUmrUz4cyKZ1N4nVhDEuS7bVx8h4IQTRpkVFdKIZTpz1v4vWnqiIaw3Vd8pY1GLUrRrw8zyuKUiiMrG8oe2p4RdS+CwiodoSdQuZ7wc1hpHYDoHwf0EgpkChAzElPaWTVc8dxiEyyL6aS0VqDhkjSItEYIRwz8T2FocI0hpcQcutoii7Gzc0NUTLmz8f1XHzTQikfBm/L83zCMYm5ajXm6qPLbteEonTjjTce9JMKIbj55psP+vEBAdWGKPQBIHNdpWNDvWqkECUPyaDoVcylNaWR92LbhaoUpULGLfZRGrFPSZoC5WtMP4YhHASCkBGl0A+prjw1zdVdkkOEI2wHmqRA68GNwkLgLmghdPxJmEcfMyvZyBOK0n/+538e9JMGohTwmmOwVItws6VDvu8Bmpj0ECjAwEBhCD2neiqN9Pry+Ty1tXWzZ8xB4BQ8evdmx/S3S3cXcPIeGg1iuMKDVppMj02sNoQZMmbB4pnB9326taY9kUCnivXuPCHIrzwS65hjZ82uCUXpy1/+cjntCAioalSsGXq3gDSGwyCuw/yIS3LEbnqJ4pTGHH4hM0uWzjyFQgGNRsc0O1Lb0DWapkgzlqyOUjzZXnvchqt2zkMrjUkxSUXvd1FuwKlqb2loMqEtC2VIcIueUj40u1VtJhSlD3zgA+W0IyCgujEj+MnFyEwHwi0mMchcN5YYWR+8+G99SLHE3ohM7UHFmsCsvnDXSHpz3XitHlpqdmd2odKanZntLE0spyW2YLbNOyB2bv+W4IOp0YOV/w1Co0RrKOFhZMv0amSoqoi5X2LKbFcbCRIdAiqCSqhOfKj4javAyxPp24LMdhPK7SFsKAqEGcq7E2hWJPI0um2Y7X+CUAw/uQi/YVXZ94PMBI7vsCW1GS2L758z2MlUac229FaiZpTaUN0sWnhwCCGQpkR5avBt0SM8peL7ZIaqM8twiCFPaawoze5655RF6YYbbpjykwoh+NKXvnRQBgW8NpkLez9Erhsj34O78A0Y3S9h93Vh+5J66aIGBzKJRgqBr3yEX0DraDFbT1r49dVXnb6z0EHeHp5Z2/bo9tr7cvsqXpQiCYtcvzP2eNwkN+CgpY8a6TkZBkJCrLa6N9tP5CnN9naFKYvST37yk0nPj2ynG4hSwHTJ5XKzbcKhoTVmz6Zi11kZwq8/ilR4F/vyr1JHeDAlfDAZQohiurgcsdaU2oVfu7S4JlVFpN10yTuCsZOLjJva/yEVR6IhTD7tovcLx0USVjHBwVCgNXqw3INpGtS3xpHGHPSUtEa07cV55ilwXUQ0ilywEGP+9DtyHyxTFqWvfe1r4x4f2eTv//7f/8v73vc+Lr/88hkzMOC1QTZb3Qv/It+N8EYMyFYUPJf5UZektDGIAhKBQgiN7YO2hjsqCeUh3Aw6PDs9bA4WQxj77VMq/qy0wvZttBGZ1W7UU8EMGTQtTjDQkcPJD2apCIgmQ7QcWYv3Pxly3gCesEk53SQXmBimJNtvI6QgErcmrZ1XqYznKYW0xmhvR69cBYDOZlGvvoJOpzBXHlUWu6YsSu9///snPf+Rj3yERx55hDVr1vAXf/EXLF++/JCNC3jtkEoNz6htu0A4XF2L/8IfHf4R2Q4su5vmkEMCiaCmeBxNg+Wy3YmMXUMS1THzzrpZcn4OS5g0hhtx3WFRsp0C3YUueu1elPZpjDTy555nWZw4guZI8yxaPTlWxKDpiCSe4+N7GtOSGFbx/TAjgv5CBzYpcs4AKmvStX24ZbiQkGyKkGiors/seJ6SROC6Y0OZfkcHct78slR3mNFEh3e+850ce+yxfO973+M973nPTD51wBynv79vxM/9zC9juGAm0Fas9LPw8ljtzyKVx4Br0og5Kpk441s4+1X+1FYMHZq8oPBs4/g2L6deJuUMlI5Z0sK2nVJGWq/bR3ehq3SuPtRIwS/wykCxNmUlCxMUvSZzv6WicDiC53t4vkdDdCHCHz1sagWpzgLSEMRqq6dJqNvTwzzPo8ZxYDDRSAhwnPELzqrOjrKI0oxPzRYuXMjWrVtn+mkD5ji9vb0jfi5v/5aZQEfq0aE4UFwfEl4BpRW+FrgyhGJ4rUgLQViNXkyu9CQHpRUb+18cJUgArnJxHBvDMRBCklFphBDUhGo5IrG01BgPYHdmZ7nNnhHC4TCe76E9CBlRTGv8BIdMT3Uk62jbxn3uT1jbttLi+9Tl8xh+MWwpKDY1HPdx7tjU+cPBjIpSJpPhT3/6E/F4fCafNuA1QFdXZ+nn7u6uSa6sXLzmE9BCIJzi+pgeLFSqhSztU1JIQlJj4iBTu5HZdlSkDhVpmDW7p0KP3UPeGy2kQ2n8juMgDYmVNollYxxZs4qFsVbM/TbPFvwC2REVL6qFcDiM57lovzhcWtb4m4I9R03YvbaS8DZtRGWzpTCdHBFGloDrjC9KIhYb9/hMM+Xw3c9//vMJz/m+T1dXFz/5yU/o6enhnHPOmQnbAl5DdHV1YoYieE5hlEBVEzqUwF1wKjLbgbBTuKKTXsekiRjD9cEFrjZwfNDSBCuOLPQT2v047vyT0NHytgmYKgNOMbzqa5+eQjcD7gC+8rBkiJSfQkUUlm3hFlzkJGtj+1dFqAai0WLVBnswiSM8WcWDCs93UH19qFxxYuA4DggxSpQMrccVJSFE2TLwpixK11133QEzaLTWtLS0cM011xyyYQGvLdrb2zAiMdCajo722Tbn4AklUYmFeEaYzI42cr4xKoFBoGgwHWxlYGQ7INuBNkKo2iVYnc/jLDoDjMorzyMQ+NpnV2YHtj8cpnKVQ0ak8ZM+4e7wuIvkQ1jSImaWZ7Y9kwwVmM3Y/QCY1vjDphU1So0AKxWdHk4o8jwXU0gQotQOXQKJ/n5UOo0cbJoqhMA4ahWiTIV2pyxK55xzzqRN/mKxGKtWreKv/uqvSCQS414XEABge4qs42EIQU2k+BFs72jDTDSifY+2tn2zbOEhICSqZjFCeQzIBlwlECOmzwJNvx8aVcFC+A5G/za8hlXIzD5U7RGzYfmk1Icb2Nj34ihBGsLzi72GdEijJ8nsXxhrndSLqlQikaKnlLNTuOhSs79RiGIGXsVjDNvuOC5SCkK2gxwKNSPokxKyGbQUGKuOxmxpQZQxG3bKovSVr3zlcNoR8BrAU5pXuzJ0ZZxSECdiSppDHnahQLgxgvI99lWzKAF+3XKEmyVHhFczUVaLGnzygEYhi5tn1X5hLKWQua5RVcYrifpQA64aPyvLcz0Mx0DHNUa3pDHcSI89nKwihWBBrJXW+KJymTujDHlKBaeATY54fZjcgF1qnW6Gil1rI/HK83D3RzY2IXZsR9k2FPJEtSYyovWIFpDVCtlSrFkoI5GyChIEte8Cysim9jT9+eGBzfZ89g3keWxfG7n6FcRjjRi+T1/7DmzbJhyunvTaUQiJN+9E9sgn2VcIMyDr8YQHOMOFWfXYBXHhpKFCK2sLIWiNL0Jpn7SbYahCqRQS3/bwEz46rEl1p1hRcyRL1FJS7gASSV24vmoqho/H0OfQcQqEIxFq50dJNkXwHB8hBFakOqpwaLuA98pmnOf+hOroYN7evUQLBUIjvmdKiFFrSqptX1mrOcAkovTTn/70kJ44SHYIGEl/3h0lSOmCx66+HFnHZ3t3hnzdctKxBIaIojt209XVwaJFS2bR4hlAeSQsRZwsxmA/i6IoiQmX+/3EwrKZN11qrBpa44vxlIvt2xT8PN12Ny4umCA8QTaU4YXe5ziu/njmR6trr9lEhEJFT8F2bJK1xXUWaQhC0eqZ0+tCAeeZp/Be3oIIhRF1deB7JH1F2LYRpfYqAtcbTv3Ws9D3a8K/6mc+85lDKg0SiFLASPpyRUHSWpO2PTbsG6A35xV/z9kYThq2v4jduBKvbildXZ1VLUoyvZcWbye7Q/6gBA1uThz8d7yq6F7j0RCq3O0ULbGF9Dv9mNJCCoN9ub1orVG+QloS6Uo8z6PgF9ie3saquvK30j4clDwlt3q9d3/XTvz2NhjcjySTNfSFQhimSY1hoIUobqAVxWzqEqHyF52dUJT+5m/+ZowoPfvss2zfvp0FCxZwxhlnsGjRIgzDoKuri8cff5ytW7dy0kknceaZZx52wwOqC43G8xU7+/L0ZB3aUw5ZpzgjS9ke8d6XkfleTN8l17CKXe1dnDzLNh80ysPs3YLS42cIO9qg16ZYkFX7aDOKn1iAu/iMcls6LRrCDSxJHMGuzE4ybhpf+2it8X2fUCGEEAJPFScavXYvrnKrOmw3hDmiSaM1wcbZSkYrheruQqfTo477vsIxjVHZd8Xjw55SuUN3MIko/fM///Oo35944gl+8pOf8Hd/93d85jOfGfVGQdGz+uY3v8l3v/td/v7v//7wWBtQtTREQ/x+oJeCq/CVpuANz8ZsVxFRgzvKlYcWkhc6Cyzc1YdSkIyYtNZGqI1WxwAns52g/FLplpH4GMUMJ8fEaz4OABWpw288uiqa/S2KL6Yx3MTGvhfIehmEloiCwJ/n4+Pj4rIns4uW+EJc5cw5Udp/3KsKlBr0zEd/Hn3lo4XEM00YDNkJwPR93N07kVKCaaJzWYzWxYhoebrsTjk/8/bbb2fRokV89rOfnfCN+T//5/+wYsUKvvWtb82YgQFzA8sUpZCVKQVqxDq/rzxGbi5V4To6Mw55V2H7iu6swwv7UrSnZrf52JRRg43ulI8Q+wmTgC4vzgsDcdyWU3Ba34S34FR0qHq2UUTNKMuSK5gfXUC6MICKqGJUpbhcRke2na2pVxAzX8VsVhg53hlGdSQ1jESYJiIcRsRGh4aVX0zUcEMh1GBRVqk1yxwXv78PEY6ibRu/owP3+T+j9vO0DhdT/tRs3ryZo48++oDrTCtXrmTbtm0HbVBHRwennHIKP/jBD6b8mA996EOsWrVq3P9+9KMfjbo2n89z22238a53vYsTTjiB97znPaxbt25OdD6tZNIFjyX1UZIRk2jIYGiPoRQC4RYYmsVpQKLQ+23C1MDW7hyeX/llXNAao38bC9Q+ViXy1OqBUeERhWDAtdDRhopeQ5qM+nADtl8gM5jCroVGhRSqRtGR76DX7mZ92/+UirNWMyPHPFll/a6GMBYsRDY0jqpMr1Sxq65GDIsSYEuB7ytUZwf+tlfRdgHt+/jbXi2LrVP2Revq6njllVcmvcbzPDZs2EBj48GVSslms6xZs4ZMZnq9dbZs2cKyZct473vfO+bccccdV/rZ932uueYa1q9fz5lnnslZZ53F7373O26++Wb27NnD9ddff1B2BxwY05AYUrKkPorrhTEQvNqdQQOeolT1QCMw/DzSHfvl97WmK+uwoKZyw1yi0IfZtxV8e7CPEJjaw8BgyBvs9yL4ujzFLQ8XUshiR9nBOYIKKbSh0bbGQFIbqqfb7uLlgS0IBI2Rplm191AYPWGtzsmrXNiKmcuhfQ/Vtg88H9/3MaUgnUyge4uTwCHJGqrbiOvh79mDuWIlKpNB5bLI2OGdSE1ZlM444wwefPBBvva1r3HttdcW440jcByHz3/+8+zbt4+Pfexj0zZk7969rFmzho0bN07rcXv27CGTyfC3f/u3rFmzZtJrf/WrX7F+/XouueSSkgBdc801XHrppXz/+9/nnHPOYdWqVdO2PeDA1EctTCnwlMYyJataEti+z6vd2dFfc1H8P+2Pv1HT8SrbUzJ7XwY0qnYpPk+yf6qD1oION47W/bNh3owSM2O0hluRBYmWGjTIvKTBasIQBmpwMN+d3VXVojQXEEJgHnkUsmUBfmc7ur+Pl377K0Q8zrGNjYie0ZX51cj4um2js1lEPA6OC4e5UtSURemqq65i/fr1fP/73+e///u/edOb3sT8+fMB2LdvH48//jjd3d2sXLmSf/iHf5iWET/4wQ+44447KBQKnH766Tz55JNTfuyWLcU+LVMRk3Xr1mGaJldeeWXpmGVZfPKTn+SCCy7gwQcf5LOf/ey0bJ8NKr2T53gYUrC8McbLXcVwj680liFZXBfjJSeNGPQcpNYINAXGz3KKWhUcPnFzCLtYW0ybUTpopsPeiU0YNbhPSQk5nH5bZfjapyPfzo7MdjpzHXTmO+lP96IiipAbQmiB53qltuJRY7A8j5cj7+WJmuVZKJ9pRg7QowbrKkQmk6WadltDIRZZVqltxUjU/v2+HBsZj5cl2WHKojR//nzWrVvHF7/4RdavX8+DDz446ryUkr/+67/mH//xH0kmp9es7L777qO1tZWbbrqJHTt2HBZRchyHDRs2sHr1amprRzeqOuGEE4hGozz99NPTsnu2cF2X0CzsHzhUWmoimIZkT1+erd1ZQNBSEyae2YNUQ9k/xS+DzdisrZAhaEpU7n2L/crwaCDlmfhCIigmc5jao9nKjVvRoZLxlceL/RvoyLWzN7cHrTWe9uiwO/ATPl6kWGoIigkeUEwhH6b6RHgIzxt+X50J2jpUE0Mp4i25HC1SYo24p6F3aYz4GiaioRFRhn1a08pvXLx4Md/5znfo6OjgqaeeorOzEyEE8+fP5/TTTz/otaSbbrqJN73pTRiGwY4dO6b12C1btiCE4Nlnn+Wf/umf2L59OzU1NZx11llcffXVJYHcu3cvnuexZMnYDZmGYdDS0jLt154tbLtQlaIE0BQP0RQPETIljRkbKQSm9oeWJhBopO+i9ivcaUjB0fOTo8rsVxraihfXxgYFRyvFkliBmM4jRjT5a7FyrErkBjcrVu79jGRPbg8ZJ0N7vh3bt+l3+nF8G6V8VELhhTyUodBhjac8FsQWEh2sCB42wkSM6vSSoDgJHO/nakQ7Du7GDehcjhrXI+l5xPL5UkFWJSWeEOiRtRlNAzlvHuaKlWWx8aCS7ufPn8/73ve+GTPijDMOftPgli1b0Fpzxx13cNZZZ/H617+ep59+mvvuu48nn3ySH/3oRyQSCfr7+wEm9OKSySTbt2/H87yK34tQKBRIJmtm24xDImYZJYEZaqU9hGX3USvqaIqHUFpTE7FoSYYJVXhbAKSJn2zFSO0GIEYGZewXBhEChKY+5EK2AxLVUYqnM99O3s+R93J0FTpHLf5rrdFSo4RCo9Fak/fz1FIHQGtsUdWFmz3Hx3MVhilLQmRIY9LWHNWA98rL6FxxQqS1Kn0H9Yj3Z69h4DU0ImIxhJSYJ56EeeQqhCzP92/ao+8rr7zCv/3bv/H000/T1dVFKBSiqamJN7zhDZx33nmsXr36cNg5LkopampqOProo/nOd75TWuNSSvGFL3yBBx54gLVr13LDDTfgDW4Om8jDGDpu2/a0Ramxsbx7TGIxg+bm6YVIK41EbYzU1m60LnqqI6PaAmgJO5x5fOXWgRsXpSC0AAqvQK6HZjlAbvDU0BBuaMUCK0s64lCv2jCbj5wta6eM0opYwcK1LdxcnlC46PVprbFFvthvxx88hiYaCeGYWbxQjte3vJ4jaiqvFcdEuLZP954MhWxxvPBQuAMKU4QIhS1c16na757K58mqAtRER4TnRouSEgJHSmKLW5h3/AmElizG2G+543AzrdH34Ycf5vOf//woFzaXy9Hf38+rr77Kj3/8Yz7/+c/zt3/7tzNu6HhIKfnxj3887vHrr7+en/3sZ/zyl7/khhtuKNWsmsj9dhwHIUSpy+R06OnJjG1FMMMM1aNKJpPs3LkX3zcwDINwOFrxnt1ENJiCbT25MWv+0isQdjN0dZVns96M4LtYHc8i7DQQAV0Hrk3M8MnqCFD83Ak0IeHTEPLIvvwErnVEcb9ShVPIKBwH+jKp4Tbovo095DlokL5EZzVxt4Y6mom4NUQL9XTZ1fE++p6ia0ca5Y3+QHZ3ZGiMLcaz0uRyuer6XI5A9fXipoot7f0RFRxGooXgpVCIniUraWo5AhzgMNyvlGLCyfyU/bEXXniBG2+8ESklV111Fb/+9a/ZsGEDzz//PL/4xS/4+Mc/jpSSL3zhC9NO6z4cxONxli5dSldXF7Ztl5IbJtoDlU6nicViY1LdK4VCoUBrayvz5s3DcRx838NxbNLpAWy7Siod7MeiuihHNscQanjPjkQTyXawfyGESsfs3TwoSINYcfqowdOSZt01ui744EigpIXZ/WJpDaqSmR9tIWSECBvDe8Q87YEudqWVSiKVRPiCKHFqrFo87eGq6gl35QacMYIE4Do2hjCoi86jUKjO7xoA5nDy0FCizf5R1ZLHNItZhlMege+9916UUqxdu5arrrqKZcuWYVkW4XCYlStXcvXVV7N27Vo8z5tWNYZDIZVK8ac//Ynt27ePe75QKCClxDRNWltbsSyLPXv2jLnO933a29tZtmzZ4Tb5oMlm06VmYyMLJoIml8tWXaqq7Sle2Jfila4c/sikBq0RQldXdprvFOvdASgPkevE6H2FJt1DayRPgixyMJVDoBAUNwl74XqEZyNy3bNn+xRZGGulLlTHouiiUj07gSiKkiMQSmC4BsIRwwMeAikqOIV/PwqZ8aMotlNs35AI1w1OCMemUFcDMplExIrJJ6XIzn6qJLWm1fOguws9S/c5ZVF65plnOPHEE/mLv/iLCa/5i7/4C0466SSeeuqpGTHuQGzcuJELL7yQr371q2POdXZ2smfPHo4++mgMw8A0TU488UQ2bdo0xlt64YUXyOfznHxy5dalzudzpZ89b/8Pi8ZxqmcGp7TmxbZUqb+SGvHhV0LiG5HSGmA1INxc0dtx85g9mzHS+zD6XiaEjSUUJl7JUxJoosJjXz6EMorrmMLLz6b5U0IKydF1x3L6/DezPLmC1vgiFieW0mg0IVMSy7GKnpI9XOOwLlyHKasotDyBd24P9hSKDHZgzeVy419YBZgrViKkHDFxALQuZd8ZStHo+8hdO3H/9AwqO73qOjPBlEUplUrR0nLgTKGWlhb6+voOyaipcsopp9Dc3Mzvfve7UXuMHMfhlltuwXVdPvzhD5eOn3POOTiOw9q1a0vHXNfl9ttvB+C8884ri93TRWt9wFInfjXUhBukJ+uQdYaFqChAwzM2J1xP1vZwq+SetFFcrzRSO4qekpdHeMUyQzll4WEO7/9AktchUq5EDd6frpJNpUIIltes4G0L38nxDSdyUuPJtJqLEF4xfBcuhEEXQz85L4vEoC23D8evjhBeOD6+gNoFGyElhlUcLnO5ymxZPxVkTS3miSehGxuLUyUhi577mDieRjsO3qaNwyWHysSUpzHz5s0rbVSdjM2bN9PUdHhKigyJyVA5oVAoxC233MJVV13Fxz72Md797ndTV1fHH/7wB7Zu3cp73/tezj333NLjzz33XB566CF+8IMf8PLLL3Psscfy+OOPs3nzZi655JKKLTEkhDhgSq1hVOZa2HgMNfwDQGs81y3t4tFI8rVLaFcuT+7ooykRYnljnHAlp4NbUbQQCG+wS6c36LUOTiRcYTGyCrohNZbQKKXQZhgday67yYdCc2QeoNmW2kpcJDB6DcKxMAjQhqbP72WJOIIeu5seu5udme0sjh9Ba3zRbJs+KfG6MNl+p1SRAgYzDAsOpjQQVnEiVc2ipAsF9MAAOhpjq2URSSZYKOWwKO23pqQdB9Xbg9FUvs/olL/pZ5xxBjt27ODee++d8Jrvfve77Nixg7e85S0zYtz+3Hnnndx5552jjr3tbW9j3bp1vOlNb+Kxxx7jgQcewDRNbrzxRr7+9a+PGswNw+Dee+/lox/9KFu3buW+++7D930+97nPcd111x0Wm2eK0c3F9hcoUWrZXG24nlcsaTL4PvlC4oZqyHiiWIA14/D83oGKrw6uEq3ooSSZoS+21mggTZL93zOFwEfgNR9fNRtooZgevnlgE6+mXkWhkdpA+AKBIJQLIVxBragblRChtGZnZgc9hcpeOzMsSePiOGZYFvdapR3623P4eUnYihGVdVgyUpXhO60U3qsv4z77NN62ragd21nlOszP5ZDjrB2N2oc2zQLZh8qUPaUrr7ySX/7yl9x666388Y9/5N3vfjetra1AsSjqf//3f/O///u/1NTUcMUVVxy0Qeeee+4o72YkE3lqJ510Et/97nen9PyJRIIbbriBG2644aBtnA1isQT5fJ5odP8UcEEsFq/YrMHxaIiHaE8XvQrbLuCF61D57pK3JICMttjdl2dxfZSCp9iXsllSX7lhLh2tx29Yhcx1FtsK2QMUlEmvG6ZehFAMV0HP6Ci7ch7phpOJRupn1/Bpsi+3lz57ODyvlA8m+CEfN+xC93CZofEeW+mFWUMRk3nLaujckcbJeyQaImTcHpCakIzSFFtMZqD6PCV/53b8jo7S70OJDlHPIzpORqEaIUqizFtOpvxqCxYs4Hvf+x5XXXUVjz/+OL///e9HnddaM2/ePG6//faSWAXMHKFQiH379pFMJjFNC8MwMQyTcDhSdfuUGmMWibBBxvbpGsjhRurRQ067BlO7uK5LxvYZyLvUx0J0ZytblFRsHjqUQBlhSC4CM4qjNmJKRXFL6bAnuMlZwM5cF56ovq6sHfn20s+2X6DdbcOr97DTNnqnxq/3yXvjJ92k3XRVFBN2bR+v4BOOFd+fgl3AkCaGYSAQpLqqJ6kIQHseqr34vqlMBgp5yOWKxY8HiwPvvwVjqMyQAGRzecPL0xrNTjzxRB555BF+/etf8/TTT9PZ2VkSo1NPPZW/+qu/KqUtB8wsQ5t/0+k00WiMmpq62TXoEBBCcPyCGv60Z4CNHRmUFS2FsLQQOKEalG3TkSrQn3dY1hhnUV2Ff66ExG88GnPfHzH6tyN8B+X71Jo+MZVBUwcIfAwcMflG7kpFaYXtFz1cT3nsyu7EVoMD9Ksg+gShfIhOrwNXuWNaoUshK16QYGxquF0oUHAzPLXl/+F5kM/YKF8jjcq/FyiG31ShgL97FwxmEqpslsWeR8z1sONxyI72/oay8+SixYhweb97055ih8NhzjnnHM4555zDYE7ARIxswxyNHuaGJmVAClGsa2cqpDs6Ru9aCfyEQXsqR1MiSl/ORQhoTxVoqeAGfyrSAMIAMwrap88NgRulXsRKi7cGPkdYfYSkqjpRkkJiSRNXefQ7ffjKH94fNxSxU+Apl36nl+bI/FGPbwwfXMHmcuJ7Cjvn4ruqlG1n2zad6V1k7RQhGcUu2INrLlUiSgL8XTthVDXw4n65uOtieD6+YcCItSUvFMY88iiMefPHecbDy0HFffr7+0u5+xMxVIcuYOYJl3nmcjjoyti4vkb6DsqMjKp4oIUBwiRnu9jRMEJAQyzEq91Z6mOhis3Ek5m9YITw64qbsDvsR1hkZov3M4KY4XFsTQ6vCot7zou2sDe7h6xXnFm7vouKK7TQxc20QJ/fR3e+a5QomdJkUXxshf5KQfmagc48+ZSDk/dIdxcwQwbx2hCOY5f6C2kUtpvHqNDP4Lg47nDlejT4Pnpwr6MALNcpZd95hsGGUIi3L106K4IE0xAl3/f55je/yX/+53+SSqUmvVYIwaZNmw7ZuIDxiUarX5Ry7mDTO88ttUIvIorfFCFQSiEFLK6LEDYlSkNHunLXlmShf9TvSZEbt9WGFIKo4RerhHNseYybIRbFFtHvFBMd8l6eDtWBiqnBVTMBCkxl0GP3YPsFIkaUunA9RySOqNgmf1prevdkcPLFz6QVNjBMief4DHTl8b1hwUUIcl7/7Bl7EOhMCtk0D+/lzehMGjwfcjlqfYVE45tmyYsa2rM0m/sepyxK9957bykdPJFIUFNT3a0Tqpm54ClZg9mCnu8h3TzDoRCNoXy079IUFRzRECMyottswa3gEi+jyiUpwjiDS2UKRvRTGtpSJvK95bRuRjCkyXH1J7A3s4eX+jfiaBsx+D8ABJiuxVG1q5gXmcequmMqvqqDnfVKggTFSXWyKUy6x8bOO0SMROnjqbVPzpt8Ul5xSAMKOTAMSlXBXZcarUjYzugKMaV9SrP3PZvyp+UnP/kJoVCI73znO7zxjW88nDYFHADLqr6srf2ZlwyzozeH8jykXxgVvhMoDCdFrVX0KkZ6G5EKboeuYs3I7HDabRSbeSFNUoMkCZjF7EIJ88Iuib6NhHbUo0Nx/ORiVLI6slYHnAGSoSR1oTrCXgjpjhBjCbZn0xBuJOfnKl6QAArpsWt7hmlQNz9GX4+Lp12GqqhoFIVCHs/x0QrMkBzTD6zSELEYqq8fGYtDLI7q6YbUADaCpICwXcDYr2pDVRRkbWtr401velMgSBVANWQwHYiwKVnaEMPSdjFaN3hclP7TdGQ9fKUwBr/0ApifPPztmA8WFZ+PDhcjCDK9BwOX/QttGPjMkykawy55X4BWCDuN2b0Jo7s6Qt4d+XYMYdISWwieGLPe7/ouXYUuugtdVVFiaLKC9Fp6FLw0QznTQkhELkbntjRdO9J0bE2R6srvVwasstC5HGKwS4K2C+hcDiWHv3FqxB5HMXgfs1l0dsqitGTJErLZ6ts0FlC5LK6PMk9kMXM9g7lAILQipO1i7S2l8BUMDBZuXdlc4eWGhMSd/zpUpB6d62bALqZAe8IobZ6VKJIyT8aT5P3RXoSR3ouwB2bD8mlR8IsFZOtD9ZgFEyNnIPTQxEGQJ8eA00/Oy/GnnqfpLnTNprkHJByb2JtzXRfbz5XCWoawUCMcK+VrMj02Ax0VXFRX+ciFrcjm5mLXWYr7kBwB+VAIRoiSHBSl2SyIPOVv+EUXXcSzzz7Ln/70p8NpT8BrDMvPE8+1MdR7VgBhXcDK99Ac8klGTHylOam1hgUVnA5ewrDQ4VoK4Xn0OhZtbg0Z4gy5E8UcDsneXHjc1toy01Zeew+CkAyR83LkvTw5PzdmEcBzPIQQNIQbUVrzaupl8hVcCT2atDBC4w+FnueRcXqHPXkBrjc23Jfrd/CcylzvFMkahBDI5nnI+QuQLQtwGxvpNwyUIfHH8ZS8ce6xXEw54PvBD36QHTt2cPHFF/P+97+f1atXU1dXN+H173vf+2bCvoA5juPYaCuGdDNoQOKT9LN42Q7mhT1WNMUBSIQrf20CQNgpzLan8Pt3krR8YqaPUdoVAj4SR0ZBZHGcsaIkKjzcpbQi7aTYldkBgF/wwQIlFBJZLMqa0yyOH1Gqf6e0pj3fxrLk8lm0fGKEFDQuitO3L4dbGBYWaQjMhI/j57HEUAt0geeO70UUMi6Jhspb85QNjYhwGG3biJAJjkWpGboQOKEQDJUaGkoNn0VPacrf9N7eXp555hlc1+Xhhx8+4PWBKAVMhXTBRRlhDHe46KMvLbxwLZ1Zn96sQ30sVB3bFJWP2fFnMKzSl9qQQ2G7oc2WxaoOUspS87iR6ND4LaIrhT3Z3fhaETcT9Nhd2L5d7KM05An6ArPDIGaO3uCd8yo79G+GDJqXJnHyHq7tIw1BJG7R9vxQG/vhT+BEA3alLisJKbGOOQ73pY2I2jp0JovSCg3YVgjDskoe0tAtzObG7imL0pe//GVeeOEFotEop512GvX19XNiwT1gdujPuWztybLHieBHazEK/QiK/YZcI45vxUjZHm0pG9dXZB2/4r0lmW1H+E4xfOcNNk3brxSNQlAQESwzj71/IUwh8Ss4A09pRUe+nZyXpeDn8bXCETYiNnyPQgvyg/flKRdf+1jSGlNyqFIJRU1C0eHP2f4NNQUTZ6aNfFylIWIxrNe9HqOnB/eF53AyafaYJvNNg9pMptTkT2rNCtfDz89euHXKf8XHH3+cpqYmfvKTn9Bc5gJ9AXOLVMHlxfYUSoNj20jtl1LCNcUUWyEEnlfMXquNWmxqT3PqkrqKnggJZ2j/iqRPNuEogblf9XZfmPSIRiyjn/zIL76QuPNOAKNyswtd5ZJ20+zJ7UZrTVRG0CmNVWOVEh200LjKZWdqO3lVvD8hBDEzjq88jCpIER9Ca43rFBtQihGLSv44e3hCUWPShIlKQAiB0dSEfNs76E+lcIUgYTvokFXMwBvMuKsFkrt34e3dU/Ttk0lkTW3Z7JzyX9G2bU499dRAkAIOmd19eQaLEJMv5EEaCIrhBC2K6y5SSoRrs3Rw82zBU/TmXBrjoUmfe1YRw1+nrO2zNRNluaxBCPAp7nXxMUiJGrYWaiikBSrRgrbiRQ+pggUJwBAG3YUuBux+8n4e27FREYUY6Q1KcBe4vNr/ColokrgZp86qJ+/leal/E8fWH1+xEwvP8cn02OTTDvm0i+8pMvs0CxIryahiBqFG4e8XvgvFDOoXxmfD5INCCEEmGiEtJZlkgpBpokdMkBqUonbfXtzn/4ysrQNAJmswVx+NCB3+79+URem4445jx44dh9GUgNcCWmt6BzvP+kox4EqcWDNm787irExrLG2jCgNoJ4OndKndQc7xaazg775KtGAM7AAGxZZiq/S8kGjhARoTl4VqH8fXZunKm/jJxehI3azZPB187dOW20vKLXqE2UIWFVL4UR9jsGKFlhptabJ2BsM0MIVBfagY6k+5KfqcXhoqsDCrk/fo2Z1BK0h150sJD15aEJJRhBr0BLWiM7+d2pYoWkMoYlR02G4kWmt0fz/aLuD39ZH0FYYY7ckLralTCuX7xcrhg6Kk0im8zZuwTjjpsNs55ZTwNWvWsHXrVu68885Z3e0bUN3owf98pdnRmyfrSxgR0tFCkBUJ7FgTPbZgZ2+eV7qypG0Pq8JbBehQEj+xENwcXq4PQ4A5uHt2aCHZ1B6NuocjYnmadRdW+7OIQt9kT1sxbE9vJWpEGXAGaMvto6vQgY5p/JCPEsUxQSCQaUkd9bTEFhA3E+zL7S0VNO21e2bzFiZkoCOPVuAUvFEZeFpr4qG60u9CSJT2ideFSdSHq0aQVDqF++zTuJtexNv6KtFdO1jke1j7jeXFHkvF8l9jnyONSh3+fXRT/otu376dN7/5zdx111088MADHHfccdTV1Y3bYE4Iwc033zyjhgbMDaQQ1EZMXu3OkSk4eL5PWA6n0WoEtgxDtJGUp0gXPBJhg739Bd68tLK7tMpsB7LQi3AzhHP7OKbeIU6OPlWDRDEyhytuaupFGvp3YISSeAtPm03TD4jjO7wy8DLtuXYKKo+nPQqqgA5ptKFHVXXQEU3OHm5H4mufjJumJlRbEqdKwrX9khA5udGDsQakGK4ZJ5D4avbSpQ8GbRfwNr6IHlGlwXFcPCGI5/Nk5Yjwg9ZIIfA8H5FIjn2ugQE4zOtLUxalz3/+8wgh0FrT1dXFo48+OuG1gSgFTMbi+ih/2jNQyj4TcuzeDmVY2G6WvryD7ZucsDBJW9qmLlaZa0oi14XZ+Ryi0I/wbXoyii4nwiJi1DEwJqXdMiWgcXp3E44343n5Yh+mCqUt10Z7vg0lfExhYRgGtrIRjoDQYEuEQVRI0eN2kygkaAw3IoTEUcX9VzVW+RbMp4ryR7RNUQfO667QJbEJ8dvaRgkSgOs5ZEwL0Fj7beIWQlDQCpEcK0oYh38f1rRSwgMCZoKGWIgFyQgdnZ0ASDlyF4/G0D5Iiet5GAIipsAyJH25ym2KZ3ZtxOh+CeEXbbTsbpYmHRI6Q1yngQgj3Qlr8MudL+SJFPoQyp+0Btts0+t0k/cKSAxqQzVk3EypPpoyhr2fIV/Qcz0KfoGUl6bWqsWUJiEZojlSeYlSplXc9GtnXQpZl3zKRUqBFRk7AGsqv537/uiB/jHHbNtGmQa5WIyQM/y90kLgGgZdQoxRXwHIxsO/HjhlUfrABz5wOO0IeI2xqD7CNvLFQXw/T8nEB99BaUXetvE1vNiW4sTWCm2X4uYxu14oCRIUxaYpqqnTvUR1HgOL4hJuUXpCgzX8CkMJERXsJQEUvAJxK0q/A6awqAvV0+f3IlyBqcxRm0tlXpYEK+tmqLNqaQ7P45j6YysyJdywJG7eJ9NrgxBopfF8jecqlCPwlEOpSrhW1ecqjWOvXShgCoFvmqQjEZRdAM/DM00GpEF+nGojcsHCsrRGr+DqlgFzGcsQbOvLow0LaZilzpcg8LVEGBYIScF20BoKrqI369Kdmbzj8Wwgcl0Ib9guX/mYfp7msIc5WGBIDw7aEoXU/mD4DvL5Al7d8jHCXGkY0mBhbDHoYuuKrnwHGZ1GxzRKqlIpAC00WGAVLBrCDdRYNZw+782cOu8NxMzKTJ0sZFwMS2BaEikF0WRouB2FEjj+cLq0RlWdJsmGsd5NIZ9HSonheViOgxwR3uuJRekbEdITloV5xFLM5SvKYm/lTVsC5jwF16cr42A6g6VnpDGixV8xhKANC9+K052xcWQIRIjaiMn23hxNicrazyOVizZCpbp1+VyW+pBX6iXkC1mqEg4QxsY3Yggh6CnAwoVvmBW7p0NDqJHdmV3k/RxZN42rPRztIpQorieNeAN1VNMre0i5KZbEj2BedHbaak+VXL+NNCQ186I4eR837xGpsdAaBnyF4xfQYkSIUlTXXF62LEC0t6Ht4YlTwS5Q5yuiuTzZxPBkQSrFPM/nEa0xTn4dBgIiEYQs3z1X1183YE7QkbZRSpPPZTEMA1+YpbphUit8DJS0QAg8z8OQkqZ4iH0DNqmCR8aurOwnLU1UfHjgLaS6kYBpFr2fApGSKCkkvpAUCLPXSfJ43wIwKjN5YyQFP0+v3Y1lhIlaMeJmHMOTaFPjG/5wooMolhqSrsBTHoaQbBnYzK7Mztm9gUnw/aFeSYJwzCTRGKGmKUptcxQrBo6fY2TXpWrzlIRpYh1/ArK+oei1uy7xgQEWOQ4F3+fpvj76BzcEZ30foRUtvk/e9xGxWFkFCQJRCpgF8q7PnoECPXkfIQ0svMGCpcUyQwgI4SG9PGHtcGRznHjIwlWa7qxTcYUvVXw+OtaEn1wIQpLPpgGwpMDDJEUNSgyLUopaOuV8Xio0s6OjfxYtnxo5L0vKTVEbqqfGSlIfaiAZqsFVLjqkR3XJU0KhogrXd5FCYg1WqdiT3U1mRNHdSsK0Jh4GBQJvRAMlgSBm1pPuKeDkK2tyNBkiHME65ljM409ECMg6DgOWyb87Nk+5LkPBu4LW/L5QIOn7pAdmp7dXxYlSR0cHp5xyCj/4wQ+m/JgXX3yRj3/847zhDW/guOOO453vfCdf//rXyeVyY6697rrrWLVq1bj/ff3rX5/BOwmYCMdXDOQ9CoUCjAmFaKTWmHhYbo64nyFmjSzf4xELVdj6ixnBr1uOjs3DazqWfU6cXtcib9bQ5sT4yauS7kwx/JOyNf2OJE2SWDRMe0fl90/qs4ube6WQNIQbaYm2YAgDV7hFz0iM7j6rrWL9u4ZwA0oPr1V0FTr2f+qKIFY3cThYA1m3v/S7FCZJq5F0V4HunRm6d2VQfuXtvZoI1dmOpzW+7/G8lPSNM8PLaE2XYZDqn51N3RW1ppTNZlmzZg2ZzNRnVE8++SSXXnopAGeddRbz5s3j6aef5p577uHJJ59k3bp1hMPDH7rNmzfT1NTEBRdcMOa5TjnllEO/iYADIgfjH4VCYdw9SqZ2CeHhaRfbHl1Juy4aKrVHryT8uuVoM4IxsJPdKUBH6PcifPMZRXd+eNDKuIJvPePysTd0URcz2bS7j2w2SzxemUkAIwnLMEoruu1ueu0elNbDWXel6F2xmK5jOHTmO3GUQ9iI0BRuxvYrL0kFGAzZhcn0jLVPRjxsP0tI15WO6REbgJ2cR19bjsZFld1yZAjV3U02m8MVgvZJ4pAZKelPpyY8fziZEVHyfZ+BgQEaGhoO+jn27t3LmjVr2Lhx47Qed9NNN6G15kc/+hEnnHACUCwN8rnPfY4f//jH3H///XzsYx8Dij1Ctm/fzlvf+lbWrFlz0LYGHBqWIZmXDOE4NjJcHIyH9ikhBitNawNthEqiJATURS2WN1Zu6rRKLEQlFrK+7UeQWsiLtqY7Pza1tisHv9uaYVlTjD8AHR3tLC9TZtPBUB+uZ2dmB3XhenZld+D4Dq7vopUaE2vRQoMsjgkKRcSI0lPoxlUuC+OV25ajpjlKOG6RG3DwHR/DksRqQ5idCoEclfK+v3NhZ4o9mKxwhXnw+6GVQvs+uVyGjBBMNvV3hGAgNTuiNK3wXU9PD3feeSebNm0qHbv//vs57bTTePOb38w73/lO1q9fP20jfvCDH/C+972PzZs3c/rpp0/5ca+++irbtm3jHe94R0mQoBhO+MQnPgHA7373u9LxrVu34rouq1atmraNlYSutEWVaWJJgdQ+upBGovGQpdVjoTWGLpbk8aw4GccnbEmWN8ZYWBthcX1s8iefZbTW7N23j3A0zra+icM623o9FsSKaxLt7fvKZd5BETPjNIYbMYRB0qrBEBKJRCuNUKL43341K5RS1Jq1hGQxiSPlDJA0K3Sf2SDhmEn9ghhNRySpXxgnHC82azTl6EQUNU7rimpYXxJSImIxstnciC0Y46OBgXE23ZaDKYtSe3s7Z599NnfddRcvvPACABs2bOCWW24hm81SV1fHnj17+MQnPjFKtKbCfffdR2trKz/84Q85++yzp/y4RCLBtddey9/8zd+MORcaLLE+cl1py5YtAFUvSuO10a4GPKXZ1J7m5c4Mz+7oxU62UojUkReR0vRTAAYKDwMMk4IvsF3F3oE8i2ojld26AkilBsjn89TFQqQKYwev0nUFRTJS/Prt27e3XOYdNEfWrmJ+dD5RI8aCWCtNoSbwwHRNwnaY/ctRyJQkYQyHtOZFW8j5lZnoMBm2bQ+mvA9OmoTA9/0xPZVEBYaUx8NY2Eoud+AuwJIqEKXvfOc7dHd38573vIe3vOUtADzwwANorbn88st54okn+N73vofv+9xzzz3TMuKmm27ipz/9Ka973eum9biWlhYuu+wyzjzzzDHnfvvb3wKwcuXK0rEhUdq+fTsXXHABJ598Mm984xu54YYb6OiozEXY8ZjKh6oSeak9zZ7+PDv781jCQ0sDz0zgiMiI7DSBiU8EG8u3UU6ehqjJkvoYea/yF5SHBKZ2CuKpZYhkNExbW2V7SlBMclhRcySnNr+B+dEWVkaOxGgzMN1iNYeRa0uGYyBzEt9R1IbqWJpcRkO4Ab8Ci7EeCNsu4Cm75AcO/eu5w56RkBCJV9Ty/IQY81vokkPFZSdGALm22UnCmbIo/f73v2fJkiV8/etfZ9GiRQA8+uijCCH4u7/7OwDe/OY3c/LJJ/P0009Py4gzzjgDYwYL/XV3d3PHHXcAcP7555eOD4nS3XffzaJFizj//PNZunQpDz/8MOeddx7t7e0zZsNMMzJkN51EkEohXfDoy7vsHciTynv0ZW201sUKB4wYrAS4mCWPSbg5YqbGMiS9WQenwoVp3769xA2fhfED25kRCWpiJnv37imDZYdOW24fHbl2+pxeuvJdSCUxbROpZHEtCZBaEslGEJ6g4OSpC9UTMYrrgDVWZYfvxqPUHXhopBz0mBxnOCki0RhBGhWXyDwhu4A90QOszQpBrnN2JupTlveOjg7e9ra3lYoRbty4kZ6eHo488kjmzZtXuq65ubkU3psN0uk0l19+Od3d3Vx00UWj1poikQhLly7lzjvv5Mgjjywd/9a3vsVtt93GF7/4Re68885pv2Zj4+HPvBkZhpTSpbl5nAq+FUyqK0Ovo9iVKu4z6i74aCtGsRnAyAFc4AsDpb1i91mtiEcEtTXFL1GiLkZt1JqVezggdoZo5x85qSHLilB3qV3FeAg0zaqT4+ps/ti+u+Lfz52pnfQW2kjUhjguvprHe4qdWKUhQcHQWyi0KA3QCpeM0UtL7UqiZpRVLUurrpip6+aJhCMIhsPLANLwaWyOUzsvRrLh8NeDm0ns3i5agZcnuUYAAwN9s/K5nLIo1dTUjJqhDyU0vPGNbxx13d69e0kkZic9sre3l0svvZSNGzfytre9jc985jOjzt91113jPu6KK67gwQcf5NFHHz2o9NyengxqCiXvD4WRIZ4dO/bR2lq52Vrj8dzWHvZ0p8kXXAqOTyrvoYQJ0mCsTyGKFRCExHBz9HT3Y5pRBJDuz+FkKnBW6jtYe5+gZ+9O4mGLuChMerlAc4S/g/c2K1qVZuvGTdTMW1wmY6eHpzxe6N48qhdSKBVFZiSqVaEshTlyKBl8ewb60/QMDNAiHVY0Hkt3d/V5+O3tnYRDI7wKqWnPbiOtegk3LqPguxS6Krd6/f74XZ1Yr2xlKrW+u9Jp9r2yG7OmZsarOkgpJpzMT/mVjjrqKJ555hl27NhBJpPhv/7rvxBC8I53vKN0zSOPPMKLL744yjspF7t27eL8889n48aNvP3tb+eOO+4YtwHheEgpWb16NZ7nVWwIr7+/j3A4TCKRYGCgOjqVDuF4Ctvz0RpSBY+BgovjKbRh4Ygw3ogBTQM+EhBYeBhOurjJFmiIWYTNChQkQKb3InyHnp4uYmGJqb3S7Ho8BJoYeZpCBY5M5DCfuh0qdM2l3+kb05yvL9OHiiukkGOTHKREZiRm3mRxfAmr644hYlSXNzFEf38/4dDwPsdi51mPVGZ2qh0cCtrz8F55mUxqgNCoIshjEcASz6P/D4/jPv1H/N27ymbnlD2liy++mCeffJK//uu/xrIs8vk8xxxzDG94Q7GY5BVXXMHvf/97pJR89KMfPVz2jstLL73E3//939PT08MHPvABvvjFL44RpHw+z5YtW4hEIqxevXrMcwwNfCM32lYKnufR19ddWssrFHKkUv3EYokpC+9skrI9woYka/uEDIktQCsfDBOEHDWmSV2sqh1WBSwcbCBfKBA2JSuaKneDqcz3oJSir7+PpU1xLJ0HJo/bS3yiQjM/7CK7N2P0bMZvOqY8Bk+DkeuZnvIYcPrZ6e5A12ocy0GZCkMYw8kOspgYoTOahJUkWqWCBNDZ2UFNrL60hiQHPYaurk7cgo+QYFZahZFx0I6D++dnKWx4gfmZNI2JxJRCqalUipraOrxdO9Gei7ns8EdopjztPPPMM7n99ttpaWlBa81b3vKWUeGwffv2UV9fzx133MGb3vSmw2LseOzcuZNLLrmEnp4ePvaxj/HlL3953IG6u7ub888/n+uuu27MuXw+z6ZNm2hoaKC1tbI2+CmlyGRSpNOD9dQsi3Q6je97ZDIplKrM2fVIpIC07VMTNWlOWMTDJigfLYxSxbshBJBUaUx8TAHSt0moDK9bVEvEquAvvxD0D/SjfEUyYhDSB07bF2ikITAkyHwXRu+WMhg6fZKhGgSCjJtma/oVdmV20inacZtc7KiNE3JQg1W0lVTYlo1qUvTnemkINxAyKm+iNxVsu0BfXy/J+HCChgDm1Syhd2eerh1pOrel6d6Zruh9Stp1cTc8j7dvL7lMcRyJCDl2F/AIhgSrf0RURrW1ocuwHWVa0+x3vetdvOtd7xr33J133snixYtLM4lyoJTiU5/6FL29vXzkIx8Zs4Y0ksWLF3PssceyceNGfvazn/H+978fKM4Cb731Vnp7e/nEJz5RcQuxtl1Aa0U2W6yo3dxc7NyZz2cxDJN8PkQ8XtklTmojFo6nEAjqoiFChmS7n0X4BtI0R6UCaCCkHSx8akSefGoPYWcAq8Kzm1S0kd7eJwFojGoEatLwHYCFg8LEkICTg3E2ZVYCESNCbaiOLQMvUfAKdBY6yJMHsyhCClXKANBC44QdREjQ4/YQtyrXuz0QQ6H8RGxE1qCWNCQW0NvbWzrk5H16dmdoXJIgFKm8yIW/by+6UECEQmSzxe0klmmAe+AJbWpEUVatNaqvF2N+y2GzFWaw9t0RRxwxU081IWvXrgUolQgaWsMKhULEYrHS+ZE0NTVx4YUXAnDzzTdz0UUX8elPf5rf/OY3tLa28swzz/Diiy9y6qmncuWVVx72e5gu7mCzrVwux8KFC0kmk3iei+8rfN9hYKCXcDiMaVZoRhpgSEFrXYRXu7P0512U1uSVRAiQaEztIEZsnrVFBFNnEVIiDZP+/v5ZtX8qqEQrXX3FsizNYQchRKmx30QYKAQeSUvR57jE4of3y34oJK0kMTNOZ76DvJfH1z4MOq5Sj54wuKaLFbHI7cmzJ7uHlujCUm+pamLfvmKq/khPCQ3RcIye7m60Hm6NrhVkugs0VGANPNXVCYCoqSVbyIGG2BQiLCHTpH//DbRliMxM+Ek5+uijSz8vWLCAlStXsnLlSj796U8fdqMmYihde0iUhvZDOY7Dt7/97XEfs3r16pIoHXfccTz44IPccccdPPnkkzz22GO0trZy9dVXc9lll5WqQFQiWvuEw2EsyyKXS404rslmM9TU1FWclzeShbURNBohip9r1/WQIoSBz/5FapQQKC2QaIxQmL6+3gmft2IwLJ7rieIQIip8Jt+aWKSYMq4xBeQcj3jdysor2z+Io2wWxRfTZ/cxYPejCgoRL5YYUsbogUqj8eIeqYUDPLb3/+Eql9c3nUrUrOwSUQCu7ZMfcFC+ZtvmXRjCpCZRN+qaRCxBb28PXW291NbVYEVNpBAUst4ooaoYBnslCSnpFpIGrYl63mCtyQm2LGhN2DAY2G9CKGvrDqupMIkojVzc3LdvH11dXbS1tR12UTr33HM599xzxz03tPl1iM9+9rN89rOfndbzr1ixgttvv/2g7Ss3lhXCdR201hiGgWEYuO5wCqppWijl43kullW5otqVcTiiPkZPziFne+h8CjOcQJBAI0tN4nwhycoEQmnS0kVZcbq7u2bZ+qmxq62DtK6jS5g00ntAT2novBKS7oKJ0d1JU7IyvSVLWoP/mmhXF0cOWQzfDW2cBQYnHgJtaXREsz21FVMaeMrluIYTaY40z9IdHJhUV35UpfCOXX0saz4eQ4VAD9d0qLXmkwxnaN/ThaHCCGETrw8TjlkjKgtXDiKRQA+G4XJ9PeRME8+0wJs8lT0uJP0j2lfIhkZE7PBPLCYUpfvuuw8oLnjNmzev7OtFAUXC4Qi5XAbXdUuipJSP1gopDSyrOFhUcsKDpzRp22NBbYSQKdnR0QvKwxA+hnbxMdEj+ipJ7eNLg4yO49cuZm9n5XYtHcm+vXuYHw3hS4OCCiMm2TwL4GPgIUnrCA7QvW87TcvKv51iKjRH5rE7s5u0k2Jfbh/aLFYD1xSb/A1NKgSiKFIm6Iimz+6l1+nl+d4/I4XkjfPeQqgCO+3m084oQdJa09HeRmN8IWQSw6KkBBEziUDQ19dH68JFaA2ZPptIwqrIGnjGgoWogQG01ng9vRimiW8a4E+enDFPKzYNDKCUj9k0D/PIo8pi74SidNppp5XFgIDJkVJSU1NHoZCnpqamVI5JKU08HiuFCqplwhAPGWBnkG4OSySQ2gUxMvtOI7UqFmUVFoTi9PkWuVyOWBlmaQeLbRfo7etlRdM8XK2w8NBMni3oI1FYGIYkJDx6O3aXydrpEzVjKHz6nD6Up8ADIiCRxUSH/RBCoLXG8TyUVqTcFNvT21mWWM6S5NKy238gsn2jeyn19/ehHYNkU/3gkWGxkcKgNtZEb0/38AM0FdsnXTY2YSxciPvnPxHp7yNmGIQcp5h9N4nNhmkSzucZiCdoObp8WxWmvPo4lXp2QghM0ySZTNLa2kokUr37EyoJywqxd+9eDMMgFArR1dWFaVolIZLSqOhEB1MK6qIWr3Zl6Ujb7OnqBwSeGceXYdAjMtU0hHBLQ4COJFBWjB07d3BMGb8Y06VtsHhlbSyEIxRaT2WAkniYSCExpCDVWb4NitMl62YpeDaGMHA8u9hxVolSKvgQemTGoQDDlzjKIabjeMqlvdBWkaLk2sP34To+O7fuJh6qJxbeL3tQaBCaSChOT287SisMaRCrDVWqJqFtG9Xbix2JMqAVMTOMZ5igJw/fefE42WyW/pc2Mf+Y4xBlGs+nLEoXXXTRtBbwpJS85S1v4cYbbyxt+gw4eDo6Olm0aFHRBfc8vKHFSyGIxaa2EW42qY+ZdGZsPKXY05+DcBxDaHyt8DFK6ysCjUbiU0wEkFYUDWzfUemiVCwDVRcPoYTLgKhFT9pGrVgRXeKjsOj1oxT62sB3wai8CUaP3c2m/g10FTrB18iCQciyUEIV26KPQGhR2nqmlMJTHoYwkEJi+5XZdkVKgWN7ZHptPEfRuaePZKiOkJEYm3EmFVZIkrdT2H6K1tZWhBQVGboD8HfuQBcK9OcydBgG8yJhlBQH9JQig/s9+3t78DvaMY9YWhZ7pyxKV199NY8++igbNmygpqaGM844g9bWVrTWtLW18Yc//IHe3l4WLlzIsccey65du1i/fj2bN2/mpz/9KfX19Qd+kYBxUUoRChUHKtM0sSwLpRThcJRwODKjFdYPFzlbsbg+yp9399OXyaOsKL4wirm0cjh9WguBK4ofS4EmZriYaHbteHU2zT8gbW3FlhU1sRAuoMTk74kGHEJ4mGSJkwe6e3sRhT50fN6kj50Ndqa302sXsyBdz0NKgdDF9aORg7EYnFYMlnmnoPMU/EKpQnhTuGk2zD8g0aRF9+5MMTQJdHd3EgnVIBHgG8P7u3Xx92goSdiIsrdtD4uWFifd0UTlTSa056EGE4X6+/rol5IwgvABNsEKrWnOZEgoXQxlZsvXLmfKonTiiSdy5513ctZZZ/GlL31pTNFSx3H4whe+wM9+9jO+9rWv8frXv57//M//5MYbb+Tee+8dt5JCwIHxfZ90eoCamhoikQhSSlzXxXXdqhEkgLzr4/mKTMEln88iwzFcTJQs7tYZYmjb6VA+ni9MwsJn8+aXZs/4KdDWto9YxCJkGrjKxFTOYEhyopmowBMWerBKelbWkEql8FznACtRs0NnoQNDGIRkCNdz0WaxxJCWuihMI+9TFL0ljcbHJ+dlyfsFltWspCW2YPZuYhKkKUt3kM/nSWdSJBsHy5YKNSL7rohpGBiWRceuHvxTFVbEIF5fgZUrfK+USd3f34cBmJaFKwUcQJjCjkurgHRXJ8Iqn+BOeXX8rrvuorm5mX/5l38Zt4p2KBTilltuYd68eaWU6/POO48VK1bwP//zPzNn8WuMbDaN67qjUsKhuKk2l6ueqstSCrZ150ilUwjlgxVDD3oTasTHUCNwRAjQWMolpF1CsTh79+4mm63c+21r20dt1KRO9bFAt5MkfcDMYF8buLpY0WJhzMXXmo5U5YW3POUhMTClSdxK4CgHHdLDervfjWqth7PyXE3CSpDzMiyILqA+3FB2+6eCZ/vUzIsSTVp0dRUrOYSjJhj7VdkQGqQCqYhF43R1deH7Pk1LEhhWBSYbWSHE4JjR29tLgzSQUhywHTqAVD6WNPC6OpHN5fPep/xX3LRpEyeddNKkG0wNw+CEE05gw4YNpWMrVqyo2MrblY7nefi+h20XM4MsyyqlgNu2PVjZoTJL0+yPMfgdSKVSaCFQRgQ12KKiuE9pRAhIa6J+nhqdJoyDjDegta5ob6lt316OqXeJkyWqc0jGFM8egycstDDwMKkPKZQW7OvsPsCjyo8UkkQoQVOkGaUVyvWLgiMGhWnEjWqKqeKIYihPFAT1oQZqQjUYlVzVQRQnTtFkiH09u3B1gUjMgpA9KjsUgLAN0QKhOHSld9OT6qjYoqxCSuS8+QD09fUQmUaWruErQoakN5NG1NYeLhPHMGULE4kEe/fuPeB1e/fuHVVp23Gciq6UUMmowVpotl2sYN7b28tvf/tbhBAUCoViLaoKrZe2P6YhmZ8MkRroRxjF9udqsO/s/igh8IRRysizosXU95de2lhus6dEoVAgl+5lUbz4XoSxJy12ORIN2IRQoRiuEqW1qUpCCsmS+BFEjShhEYYCGL6BVBLpy2JiwwhKvwvwpY+BQcxMkHFT4zx7ZRBJWLi2T19blu49fTQkWhCeBXYI1H5ehW+CktTW1KFRbH11snZ5s4+x5AhkMklPbw+GZYLWU/p4KilxwxHatC5rVZUpi9Ipp5zCxo0befDBBye85qc//SkbNmzgda97HQCu6/LCCy9UXOXtamEo5TuXy1JfX8+mTZvYtWsXnZ2dOI5NPp897M0FZwpTChbUhHHaXkbK4bUWgR7VeXYoASAjk6RkkoIIE8LHiiXZVKGi1N6+jxrTJx4xKToKmiiFSQuyagRpkaBTNNMrG3GMGhIhSXt7WxktnzpLEkewLLkCz/XAGxYeLTT7b1MqVXgYTBvvyffQmW8v1surUEJRg0LGoa+vD+VJ6mPziuLjhcDdb1KtAc/EEmGS8Vo2vvz8rNg8VYRp4q5YyRbHIR+LI30fQ+vJQ3hCkIvHCIcsBgyjtOWhHEzZn77qqqt4/PHHufHGG1m/fj3veMc7WLhwIUop2traePTRR/ntb39LKBRizZo12LbNpZdeSl9fH3//939/OO9hzlLci2SQyaSJRCKlNHDf98nnc4DAtvMV2QNqf5oTIf60ZTsi101NTQMp7QyuHUHxWz40gAsGYz8UiGJohS0jmLEatr76Mq7rlkKYlcL/3957x8dVXvn/7+e2qerNtty7sSnGppreTAkscUhoCUvYbAIbwCmUsEk2G377TQibQidlYRMCCSWhhIWEEojp1RiDccHGxpZtybJVp972/P64MyONNJJGtqQZknnz8gt75pbnmblzzz3nOedzdu7cgQSvJYcA6Qo0Bq+Wlwj2KD2ZaAJvAXrHjuLzlMArnl1UewjrN69F7VZRy1Uc28FV3H6PtumUcJHyMEwr6d3HXa+QVhHFt/YS6zQJVflpWdWMofrx+wLeJemSWlfKcQN3NMrLK3j7w+eJRLoJh4u3pX3LrhY6VBVCQbpdP8FYfFCZIQkgBIam06qq7Ny5nfnzF4zJWPM2SrNmzeKXv/wl1113Hc888wzPPvts1vtSSsaNG8cPf/hD9ttvPzZt2sSbb77J/PnzM4KoJYZPMBhKGaAez0kIQTwex+cL4Dh2Ud6o+1Lu14nu9m64quHHL+NYQkv5SalFiBQSgYkOuNhCxRQ6elktdmsTW7duYcaMWYWZxADs3LmDDkvD7/O+Ayud6j4IAkm520FcBLHQQQgSSqgow3dpAlqAumg9SqtCuDxMQklg6VZWnZLAE2kVUiCEwMXFtVzGBxvxqwE6zA6qizDZwUo4CGBn8w4Qjqdq7qauS7en7iqdEo7igOJSVh3AlQ7vvruKJUuOLuAMBiddR1fnuggJpqFDbPB9bFUlUluD0901ph78sFYeFy9ezJNPPsmKFSt45ZVX2LFjB7ZtM27cOA477DBOOeWUzFN7ZWUlv/rVrzjiiCM+Ed1RixUhFNra2jOdcdM0N+9ETfUYchy76I0SwJ6mj8AI4ugBTMUPCLBilO18Bz3uxaxVM4JiRXD1EKbwExEqDqoXTgE++mhTURoln89HQqvAkF0gBboc3FMSSGrdNuJKnBgBWqnDMirY3bS7aB8yOs0ONrZtAB+4ARcFxVtXsnt5PtLzlAQCRSrIhCSQCDKnYi5CCCy3+LILAYQi6NwTIdnlUh2akKpN6t/qPeUCen9VHarD1fgMPytXvlnURmnHju0EXZfx8QT6EA9MaaQQBCyL8Zo2ph78sK2FruucdNJJnHTSSYNuV1NTw9FHF++X9ElBURTa2rxW271VG/bs2ZP5e7GrOQC0x0zW7upGV4RXMiotXMekYs0f0ZI9jcRUO07dBw+xe/55oPmw0bCERqe/AZ8RZOvW4hNn3blzB+UBjW5Rji5Nqskvg04niYlBEh8CSVnQ5wmBtjQzceKkUR718Oi2uljbsYbWrl1oaKhS9USAVe/6653cAIAE1VZRuhR8ui+jMh5Qi1O/UPepfPxhE5owMPSUnI5wvXWlLETKgwJMgRKM0VA7gZUr38J13aLVoGxp2sY8QBEih6EdCIE/kWCW49Cx6cNRHF02xfkJlvBqPaREURR27tyRVRumaRrl5WV0dXWm1B6Kf01pa3uc9vZ2hG6QFAYuCsGmN7IMUho90U646VVcBE4qZVwRArtqWlEmAjTv3E5F0FsfE0BcBLBRhuw868NEc03CRAgSY3zQ276lpfjm2BRtwpWSnV07cKtdLNXydO+El9jQW/NOKl6quKM7CFsQbfHqy0JaiHKjfKBTFBQz4bBj11Y0Re+lI5nrYU+kPCjFM07xIBNqJ9PV1clHHxWv6kjko00EVdUL2wFqup/SIOi2RSgapUECzTtxurtHfZwwTE/pmWee4a677uLDDz8kHo9n9VzqjRCCDz74YEQG+I9GMpkgkYinUr09gdvNmz/i5JNPzvSTUlWVyspK2ts9b8nn8xMKlRWtx2Q7LnsiCaKxGEp9I7bw4wgNvWvHgPv4upqQKICbkSOygjW0tGweu4HnQSKRoL2jg1mp4kKfm6DBbcFrRjEwnrCSRMNGx6ZcdjM15N0wxjLTKR9c6dKRbCduxWlN7EJUC5L+JK5wcRTHa/LX20Ny1Uyig6yRtHzYjIrK7Io5BZ3HYCQiJhu2vsfE8DwUIXsUHJQBQl2K6yVAuIJxFdMQYgVvv/0mM2eOTXuH4RJt3kGlpmHpOj7TJDCUzBDgiyewDJ1KJCHLYs/6tdQvHv3uEXl7Ss8++yxXXnklq1atIhqNZp7ic/0p1ptjsROLRYnFIr1qjyStrbtobGzMWmMQQmDbNrFYHEVRiEYjRCLFWwMCEI/HsPyV2HoABwUHFcUcWKFBM7tJt8FTpYWFAYpGV3dxzbOlxSsML095SmWyiwBesfNQTf7ShslJ/QyrlARlPkFz88DGulBIJJtbNmKVWVjVFpZmYWs2tmbjqE6Wp6TYCsLxMiiFIXAsh9pYXVF3nm1u2UEsGkUNAIYFmg2K7RmfLCV0CcIrHsbx1pwM1U9D1UTeeuv1Ao1+cLq7u4gmEgR0L6HGVlRMwxgyiqdIF18ySQBBuevSOkbrSnl7Sv/zP/+DlJLLLruMCy+8kNra4hRW/KTiOA7JZLzf621tewiFQpSX94Q9hBB0d3cTiXjutGVZ2LZVtAvkmqqQjMexQvUILZiWXh1yP4GLlrplSyHQsYmNoTBkPqQNSEXQQJEOOjb5Bu0FXk2Tk/oZmsJgWoVZdJ6SIhRCWogPWt/HLfdaNbgpDyIdwssgwFVdL9nBFahCxRUuH2/+iBnTZhZmAnnw4UdeZKesLISXB+4Cqhei69uGRKbVG2RqzclhXO0kVm14hba2PVRX14zdwPNg+/YmuhTFM0p4xsbRtCG179KEpUSXkpb2NuaP5kBT5O0prVu3jgULFrB8+fKSQRoFTDOZ8/WOjnYURclqcCeEQNf1Xlpw3k3QsoozswkgkjQho3UHNipD9Y2WCFRsT7RUuhh2DKeXwGQxkDYg5UEDDZuE8Kfmlg+ep+R3Y9iouEKlIqAWaVq4YHdkj+f9KJ7Yaq4aJYnEVm1cxcVRHe+xV4WNH43dQvnesHLNK4RCYQyfBqoNbqrfu+qC0vt6633NSs9bsjTGVXkCAe+88/ZYDjsvduzYTruioKcyo6UQeSuOAOjSRRUKW8bogTBvo+Tz+WhoaBjNsfxDM9CNtqOjA8dx+kk1hUIhYjGv0KDYlcItx8V2XBQriqMYWMKHklUwmxslJeqpSZugjOFPydSki4iLgebmHfgNHZ+u4qJgCoNOUYE9ROsK8IRoPTULiYZDQMbQDT+7W3cVnaah6SaI7YyiCAVXuBl18FxfYTrxQSBwVRdd03l/9eqxH3SedHZ2sHHTBvzliheqc1UvRKfYoFsQjmTr30m82iVH9f64GmVqA2XBSlauHLoZ6lizfXsTQlFI1tSQTBmmQDyBGMww9X5PCHYF/Gzb1TLKI/UYlszQ+++/j5mny1dieKhq7khqZ2cH0D/tu6KiwmtMZiZRFO8GWIyhO4CE5WIo3g1MiHQLv6GQqZUnhwq3k6AbQ091yiwmvb/W1l2UBbzvzhY6FoaXdTfEg6hXIGwgUdCFDbj4ZQKfz8Bx3THVGhsKV7rs6dhDrDWKltQ8zUXhImWflhVphBfWc/ESIXyGj+3bm9izp/jEZgHeeWclUkom1Ez1suqcVIadq4Ktgtmr46oErFRhraukjBIIqTKj/gBWrVpZVA9N4BmlMp8PoXprSXG/n7h/6IxdKSW2phENhmguL6dp+7YxGO0wjNI3vvENurq6+P73v595Qi8xchiGkbPGIRKJ5BS09fl8Xp0IAssyEUIp2pboekoiXHGdVMBKGSJwl9oPG9210KRD2O0JHRRR9I5dLc2U+b3P3S/jGCTRsVKe4FCIlGycwMCkW5QxPuC9smuMnkrzQREKH320Edfvovk0dEf36pIEEIfAWwHUTu/BSIkpiLhAqhJHdXAUB3ucjV1v89Y7bxR2IgOwatXb1JdNptxXm1pO0jxjY2sk4ibvbnmRroT3kBC3IiSSCbB0L3SXVkq3VarL6xG2wfr16wo6n75sb9pKOHUPCcTjoCioeXjirqoRDYXYXV9PIBikrW1PvyL+0SDvRIeHH36YhQsX8vDDD/PEE08wY8YMysvLc2baCSG46667RnSgf+8IIQiFyolGu1LGxiMWi6Jp/UNBhmGg6zrJZAzD0NE0rWizHv26SkiVCGmDdGDQ5nc9COkikBk18fT8iiW0JaVk9+5W5jaWI6RLlWxHIrCkgU3uNcLe2KhYwiAh/FjoOKiU+b05trbuGu3hD4sPt65HVVQ0NK+QWwpIQtmfy1C7e65PJalQ9ucyus/oRvokrusSq4mhjFNYseF5TjnxtKK6Tl3X5b13VzO5ar43LlfxQnOugmkneO7D+4iY7Zntk06M5zbfw0nTL8HAj5fXIsDnUBmuxqcFWL36nTHTiRsKx3Fo2dXC7KoqkBLNtglEooSjURgismJpKh1V1UTDIcodz/vbsWM706fPGNUx522U7r777szfE4kEa9YMrNhcTBfdJwmvKLYK00ziOA6WZZJIxBk/vn+3Ttd1MU0Tx3FJJk2SyTjhcHEWJgLUGhbCNVMdZdPZTQMjgKBMogsLV6hE1RDonuBlMpnI2WhyrOnq6sS0LMr8OgHiKLho0sInkjg5kh0Mw8iEv71UASVlkLynWAUXw+cltBSTUdod283WjR+j1WleYazrSQn53vVlGaQ0apeKf5Wf+KFxEGBrNuo4lTWtq9kd201dqK4As8jN1q0fk4zZVE1O6fG5PdGK95tfzDJIaSJmG+/vWsHB45d6IT4AV6DpBuVlFbz77jucf/4XxmL4Q9LS0ozjOJSlRZulJByJDL6elMKwLEzdMxHp/XfsaCoeo3TPPfeM5jhKpBBC4PP5SSRiuK5DMpnMGb5TFCXVBNBBSodoNEZ1tSzaBwJpJgi0bUQ2zEC6flwlnxCexEYlkFqDSvoqkUIhFosVRdpt2nCEAzpqaozp0J1P9rSu8Pv9zJs3j2OOOYYVK1awbt06XCuGFOCXSaQQWOheooQaJuhrKyqj9O6adzBNEz2ogwNC83Tt9OaBn7T1nTpx4l5ChCMRQUG8LM7r77/Cpw77pzEc/eCsXr0KgMrylFFKhyWB1sjAayit0S3eX9KdaFMFw2UVZXywcSXRaIRQKDx6A8+T7dubgJRREQLhem01ZR5K7Y6mU9Xewa5xDZnwX/p4o0neRunQQ0e/khegpaWF008/nSuuuIKLL744r306Ojq45ZZb+Nvf/saePXuYMWMGX/rSlzj99NP7bRuPx/nFL37BE088QUtLCxMnTuTCCy/kggsuKJobupSSRCKObTspGaHcRgl6QllCeGnlPp+/37bFQGvrLoxEOz6iqKg47uDZaRLoFiFU4WKjEnKjqJqOY4TZvbu1KLTh2tu9p+iQX8fp5flp0sRHj3L2vHnzuOmmmxBCsGzZMpYvX84Hq1eiSwsViSJt9ogaupVyksJP0Kdljl0MrF65EgKgBTSSmqfk4AoXJTrwjU1E+/yWfEAQXl37UlEZpTVr3sPwa/iM1O9GkRlvKWYOXKgdy2pYmFIS121qq2uRGyXr16/j4IMXj+LI82PHDs+IlKc8HTN1L3HUwY2SFAJbUwmkOhRoikLY5xsTo1RU2nfRaJQrrriCSGTgSv++xGIxLrnkEn7/+99z4IEHcuGFF9LV1cXXv/517r333qxtHcdh+fLl3HnnnUybNo2LLroITdO4/vrrufHGG0d6OnuNZZlIKTN1R7kSINKvpdefdN1XVFlpfWlu3olm+KiS3QSdGH6ZYKgUNa8JmcBUfHSrZZhGJa5Qi0bxoDulLuHXVeIEcFE8PTvsTAqDYRgcc8wxmQceIQTHHnssmu7DTxzFq1AiIbxuvAA+XaGrq78mYCFwHIeVr7yNGlaxdE/FwdGcfJYEM9ukVcOFT7D+w7VFsyboui5r166hqrLaU3CAlHrDcDNpXC913JekprIWRShF0yV5x47t+HUdI1U2Eg8GSfp82PkkRfV5SA/rOtvHIAMvb0/puuuuy/ugQgh+8IMfDGsg27dv54orrhh0rSoX99xzD2vWrOE//uM/uPDCCwH4t3/7N8477zx+/OMfc9ppp1FT44V60m03LrnkEq699loAli9fzpe+9CX+93//l7PPPps5cwqvz5UO96YLanPVIfV4SjaG4ccw9ExqeDGybt1aVF8QBUmV20GUEPnIO3ofhcAWOqYWxNADbNiwnlNP/dToDjgP0oYjYKhIodAlyxgnd6QS2b3vwjRNVqxYwbJlyxBCIKVkxYoV2FYSBXBQ6RJlJIWfctmFiUFAV+lKlQIUmvffX00sEvVac6gJpJJKB+9VizQoEpSU56EJjWQ8yZo173HAAQeN/uCHYPv2JqLRCPtNb/CMCoDj8wyUmc9NW3r6d4YFwRioEg2dyopq1q59f3QHnydNTdsoS3lHwnXRLdsL4TkOUhnqu5Mk/T2Rl3Kfjy07tnulAKMYVcrbKD3yyCODvp8eZHrAwzFKv/71r7nllltIJBIcfvjhvPbaa3nv+7vf/Y7a2lrOO++8zGvhcJhLL72Ub37zmzz++OOZMOB9992HpmlceumlmW11XedrX/sa5513Hn/4wx/49re/nfe5RwtVVXAcl3jckx0aqB9Vd3c3pmkTDAZRFAVd7x/mKwba29vYsaOJsvHTAG9BX5f5ZKfpKWU4r9DWFSpKqJzVq1eN+g8jH7q6ulAVBS0VClGEZI+oISBj+OlJnV23bh3Lly/n2GOPzawpaULipm7oWq+6rbCM4Dc0trcWh8bfq6++hKIq6EGdhJvIGKS8cXvao/ttP7Zj8+qrLxWFUdqwwUvdrqlKJV4I6T0RKrLHcxoMxQbNhEASfD3h2trKejZu/BDHcQpe2L5jRxM1hoHiONTtaiWQiCOFQHEchFD7eUNphJSUdXVjqSrlHR3EQiHCqUSdtrY91NSMnqpP3kZpoPCW67p0dXWxatUqnnrqKc4880y+/OUvD2sQ99xzD42NjXz/+99ny5YteRulrVu30tLSwtKlS/t9+YcddhgAb775JhdffDGmafLee+8xd+5cKioqsrY94IADCAQCvPlmYauxXdchFotiWRaWlaSrq4OqqqosiaE0uq6TSCTo6OhA0wyCwXDR9nJ5/fVXAPCXV2OhEVVCJISPwWNAaYU8hfTt20VBC1fT3ryOjRs3MGtWYb3a7u4uAr6eVHxFujiKTqesxJBWRpA1kUiwatUqPvjgg0z2XUgDDZMwEhMDn0yQFAE0bPyGSjwex7btgjbIdByHV199Cb1axwpYqK6K6ni6d/kaJqlKcEC3dAJWANNn8uqrL/GlL11W8Bv2Rx9tQtd0yoIVkPR5a0mpIm/sPD531QWfDf6E9/cUVRU1bNjyAdu3b2Py5KmjNv6hiMdjdHV1MbWhgcr2doLxGMJ10RwHN4/PPuH3obsuFZ2d6JZFbepabG7eWRxG6ayzzhr0/Ysuuohnn32WK664gmOOOYbp06fnPYjvf//7HHnkkaiqypYtW/Leb+vWrQBMnjy533t1dXX4fL7M8bZv345t2zm3VVWVcePGDevcI43runR3d2XWhXw+P5FIBL/fTzjcP4tHVVV8Ph+dnR2UlVUUdXffvz73DEYwjBooo1MJe7128pDhkaRlMb1KJQ0HUVaHoqg8//yzBTdKkUgEX68aMltoKK6DLiyS9K+Y76uGouHgoFEmuzGlzk4m4CoKft07ZjQaoaKiclTnMBjvv7+aSCRCaHoIRzoorpLRvHMHaunQF+l5SkIKNEdD9+l0dXcVRQhv80cbqSyvRjh6Tyq4o4BpDG2UBBBMgG6n0sKzjRJ4Rq+QRimjy6hplHV2IlwXfyKBcFOa7n28pN4lC1IIrFRyhOY4+BMJxqX+vXPnDubP33/Uxj2ij9YnnXQS8+fPH3bh7NFHH71XT00dHR0AWQravQmHw3SnGlOlty0rK8u5bVlZWebptBCYZiIrUUEIwY4dO+jo6BhQPsg0PUVpxykuWZPebNz4IR9t2oi/soGk8GWcI8+LGFI8H1IKEG5KlFUVCkZFLStWPE+0wIrhtm3R2zmNEUSRLiE3ij+P8CSI1OqTQ5go1bQTI4CSivUXWq4mE7qr0lFcBdNnZuqU8s4FUDyRVkd30C2dUCiEoiq8+upLozn0IXFdl81bNnup4GkD5JLymGDoTA7pGSTw9u/1eYRD5WiqxubNm0Z+4MMgnRBUlQrXBWJxfEkTwzLxWWZm8drv97Nw4UIuu+wyDjroIPx+f7+vV7csQkBQSnbuHN1EoxF/vJ4wYQIvvPDCSB82J+kfba6U6fTr6XWZfLYFSCaTw/Y6amr2vR5hzx4Tw+gJ07muy0cfbaS2tnbAtZOGhgbee+89EolOJk4snoLE3tx222OomkawZhxR0fO5epoO+awJSQQOumt7/YeES7BuEm0b3uLVV5/n/PPPH7WxD4WipNpLp0cqFJLo+DFRyM+gKKlORBLwyaSniJ46ZmVlgLq63A9Ro41t27z2+sv4Kn0968VIHOF4IbnhLOcJ0E0dgUBRFXwVPl577WWuu+6agoXwWlpaMM0k5eHKntYUtu79XebTMlxA3A8+06tTkiIj2qoIhbJwBa2tzQX7/gC6urwmoIFAAN00McwkqusipES4ElL3vFwlC++vWpV1LK+vmaTcMGhr2zWq8xpRoxSJRFi5cuWYVdv70rn3A4jEmqaZWY9Jb2tZ1oDbCiEIBALDHseePRFcd98E2bq6Ylkez44d24lGo8ybN2/AfcaNG8d7773HW2+toqKi+BTcd+7cwd/+9jdCdRNRVC2lYgBJ4SMqgoQZ7N4mEVgY0saQlqeYIMBxVXzBEL6yKn73u99zzDGnDPigMdokEma/deKwjCJxCBEdsh26N0cXBxVT+IkSJEQMRXjzaW3tQlULo1yxfv1auru6qZpZhWZrOKrjNe4zyGroNySpTdPHAPBX+2nf2M5rr61k9uy5ozD6oXnvPa+Lc1moPJXgILzQnZ1qdZ6P1XVUT5xV739PCQfL2Lx5C62tY9NCPBebNm0hYBjoioLquOi2DVKiOj2hxoFKFtZ98EFPGrDwrmQpBJrPx8dbtu7zvBRFDPgwn7dRevzxxwd8z3EcWltbeeSRR9izZw9nn332sAe5N6QTFgaqa4pEIpl08KG27e7uzmSxFQJN07KM0ptvvo6maYwbN27AfcrKyqiurub111/m+ONPLrpEh0ceeQghFEJ1EwFQpE2nUkNC+EgoAQb3L70Wf5Ygow4OnkirAML1k9izaTXPP/8sS5f2L5IeC2zbpndWrepa1MtmQuQrWCxSuYUCFwVLeMoQ6RtEIcN37777DgC+Ch84Xlq3gtKT4JCvXRIgFUnMFyMYDfYcE1i1qnBGKd2zqixU4fVPsnTvJuxqXiFsvqq/bsqAKdnbl4UqaNr0cUEbb+7e3UpQ0wjEYliahisUNNtCSdU2CikHLlkwTdKP546qkvD5SQQC+Gyb5j2tozruvI3S1VdfPWQKrpSScePGsXz58n0eWD5MnToVgKam/lXGu3btIplMMm2al4acbimea1vHcWhubmbGjNHVdBoMny+AaSaRUrJnzx7Wrl3DrFmzMh5eLoQQHHTQQTz66KO89trLHHnk0WM44sHZvbuV559/lkD1eFTda73crZRhCZ2E4k91Wx38enI9vQOiikBKhbDbjV964VgjXIkRKuePf3yQk07qn305FjiOk/WbCMkIIeKp1bKhn7TTQrNJ/Ch4XWsd1Mw6VSGLTFeufAsjbKDqKlJK/Ek/Li6RUGR4oTsAAclAku6ybsLxMKquYoQN3nnnbT73uQtGZfxD0dq6C0VR8fsCgN3ThsLJ00vKIEHp/z2FguHUb3k348b1164cC3a37iKgafgTCRxDJ2EYVCSTGaOUJlfJQu9fk+q6SEVg6jpBXSfa1kYymRg19Zi8jdLZZ589oFESQhAMBpkzZw6nnXZazmyx0WDChAlMmDCBt99+G9d1szyFN97wZPIXLlwIeJ7IgQceyOrVXkZR7zGuXr2aeDye2bYQqKpKKFRGLBbhxRf/hqqqzJo1a8j9KioqqK+v5/777+WQQw4vmp5Kf/7z/+G6klC95yXFhZ+44scUOg5apkYnH9KdlSQqhkwJmgrheUub1/DGG69yxBFHjco8BkPXtaywbUDGUHBSbc6Hzk5zEcQJYgmDuPCjY5PEh5M6ZqG+y0ikm40bNxCe4P1GBALDMkhqSS8DL93gL0+k8DL2YsEYMV+MUDKEr8LHxo0bCqYR19bWRtAf7HVPk6DKnlBePiguGGY/LwkgkBLWbW9vK4hRSj/cTinzPlvVslGli6MquEJkGaZcJQs+wNJ0LF0jHghgGwbBeJxg6prcvXs3jY0TR2XseRulG264YVQGsK+cddZZ/PznP+fee+/loosuArwQ3c9//nP8fj//9E89Oltnn302b731FrfeemtGocKyLG6++WYAPvvZz479BHqh6wZr137A88//lSVLluD3D/0koigKhxxyCL/+9a/5wx/uLwp14mQyyTPP/AV/RQ1aSlMsIXxERQhLGKmeSvkhUikRrvAy8Gx0jJSunK+8Bt0X4Ikn/lQQo+T3B7B7GSUFz7vzulwNfWNzUDExSHeejRDAQcG2rdTxC6NjuGbN+0gpM2E2wOv8rXtp4XaeSRw9u3rKD47m0FXeRajVM0rd27t5//33OOywI0Z4BkPT1rYHny+QHqCXBi5T4qpOHmFwidedVk2pOvTB38soFYJoNELSTBLUq0iqGppjI6TEVVQU6fTzliB7bV4KQVtttuix6jhUZIxSa+GNUl9aWlrYvXs3hmFQU1NDdXX1SI4rJ7feeisAV1xxRea1f/3Xf+Uvf/kL/+///T/efPNNJk2axNNPP822bdv47ne/mzWuZcuW8cc//pFf//rXbNiwgfnz5/Piiy+ybt06LrnkkoJLDHV2dvKLX9xOY2Mj+++ffx1AfX09CxYs4OGHH+SQQw5n5syhPazRZNUqTyW5esa0zGtxEcQUvpTH46V5D43M+puL4tU3pdaYhBD4q8exdu0adu9upbZ2bDMQA4EgltMzxoQSIOYG8JPMw0+iR6kCFVcqKS9LYqUWovcm6WYk2LLlIwD0kHcDcoVL0kh6NUrSHX74LoUUEiuVFJA+9scfby6IUWpvb8dvpD5fR/XWkWwjtUaUX78vbB0wc6o/+FMGr1DCurt3e11+g7qOpWlYhkEgngDpojrOkLMbqLVFKBUmH80uwsNeGX/ggQc45ZRTOO644zjnnHM466yzWLJkCWeeeSb333//aIwxw2233cZtt92W9Vo4HOa+++7jM5/5DG+99Ra/+93vKC8v56c//Smf//zns7ZVVZX/+Z//4eKLL2bTpk3cc889OI7Df/zHf3D11VeP6tiHQkrJnXfegpSS448/fthrJCeccAKhUIibb/7vTBp8oVi58k0UTcMXrgTAQiOp9Dx151/iIjOhMAWwFbXf3v5UoeLKlW/t87iHi9/vzxgQgKgI0UY1FipOHj8tBZcQMWyh4QgVVXgFwuljGsbQLatHg61bP0YP6Cgp+SRTM0n6kli6hdT2IstUpEJ4wkW4KfULVUEP6GzdumUER54/sVgUIy3LJfESHdxenWTzQXo6I7m2Tx87FitMLV1nSjvRr2mYhoFpGLip0kAh5V63b9ZS60ido6jNOCxP6dvf/jYPP/wwUkpqa2uZOHEiruvS1NTEhx9+yPe//31Wr149bDHW3ixbtoxly5blfG/9+vU5X6+trc37nOFwmOuuu25YArNjwRNPPMabb77GmWee2U8GKR/8fj+nn346Dz74IL/85e1ceeU3C6YNt3r1KoxQJSKlep0URiq/zMFCz9NLSj+vytQfF13aKDLbB9F8QTRfgPffX80pp5w20lMZFL8/gGX3jMcUPj7WplFlt1PN0GEbFQcfJhVuOwkRJCLC+Ehi2V6qbqFqeLZs+QjV33Nuy7BwFa/bbN5KDn2QQqI4Cj6rx9CqfpXNWzbv83j3hlgsRl1FKrPVFZ4qg+r0ZN7lpYIuU95S/0JpRVHQVK1gRika9bKMdVXF0TQsoaA4rlenlOcx9GQyo+oAYBo+hKaiCDGsTg7DJW9P6YknnuCPf/wjEydO5Le//S0vvfQS999/Pw8++CCvvPIKv/71r2lsbOSRRx7hmWeeGbUB/z2yceMG7rnnbmbOnMncuXufIjtlyhSWLFnCCy88z/PPPzuCI8wfx3HYs2c3mq8n9OQKBQ0XRQ5e4dK/3kj2/JHgdxP9mpMJIVANPy0tzSM1hbwJBAKYlp2V7GALnRZlPF1U5nUMSUpuSHpN4gIyRtJ2Cha6SyaTtLQ0ew39UqQN0XA073KhOArhSE9Sgx7UaWneSTKZj/rFyOE4DslkAi3dvkGmPCQltT6Ur+F1VHAGvsXrukEslm95wMiSNhqGqiJcl2AigeK6SEXBVRTkEOUjAqhu78CXFh/QNCLhEEIIDG10jW3eRun3v/89Pp+Pu+++m0MOOaTf+4cffjj/+7//i67rox7G+3simUxy880/JhQKcdppp+2zd3P44YczefJk7rrr5+za1TJCo8yfrq5OTx25V+hJlxaO9NIAcqU45JI5QXqhOxXHEymViZReXv/9Vd1H6+7RrZ3IRVVVFQAJq2dNISSjJJQAHUrlkGnhLgoWOnFSvZSEQJcW8aTt9fgpAC0tzUgp0QI9QRTVUTMZdPuCYRoEkj3GVgtoSCnH/IEiXUCvqr0CRardE7oTMqPOMChuqrnfAJuqqpppPzPWpD0lQ1UJRVOGUQhcTcVRVdyhahqlxBECfzJJdzhMZ2VlxpAZqlocntLatWs55JBDmDRp4I6fkyZN4tBDDx12T6R/ZO6//1527NjOqaeeOiJPx4qicNppp+G6LnfccTNyL2PHe0suo+qTJip2JvOuL2mZk8985jPcfPPNnrcoXfwyTkjG8UsTKRQSwp8zFi6RWXI/Y0VlpWeUYskeo6SnMgMjIpyXUfKy9bRU0gNeHZdpU1lVGKOU1opU9J5bg+qqKK6CK/beKCmOQlmkLMuwpc8RiYyt6kE6u1FN35h1OxWuSxXBai5ouZVfsnBVLzmio9xTguiDoqhYVmEKoKPRKIoQqELgSyZQpIutaViq6q0x6XqqiebA+E2vpknpo1ajK0rG6I0GeRsl27bzumkGAgESicSQ25XwwnaPP/4IBx54YKYQeCSoqKjguOOO47333uXZZ58asePmQzDoyeK4vQo/FSSaawFKv9v0QDInPkNDomZJ2mg4xJX+bTyk42TOO5bkMkpu6ieVSyW8P163KIS34hYTAUzhI2Y6GS9srIlEvD5OitZzazBMw5MIEqA5Wv6ZKikURyGQCKBJLdsopc6RNoRjRdpTyjTFVN1UAWzKQ1JczzANhSQVwlMhGu6XSq6KnvT+sSYajWJoXlsVNzVPW9NAKEhFDBm+A1BSquKalS3jpisK0WLwlCZPnszbb789qMGJx+O89dZbg3pTJXr4wx8ewO/3c9xxx434sQ888EAmTJjAH//4wJgqA+i6TjAUwjGzrxMpFFSslN53z10tLXOS9ujSMidJ08YSGgkRACSGNNFwsNH63RNdK0lt7ej1dxmIqpQ309soxUTQWxti8AczCSTwe4oOwmCXqCUugsTxE03YmWOPNRlPqZdRUlwFFzejXTfclHDFUTBMw5MqcnsdVyuUp+R9X5liewlojucdqU6qgDbPg7kKOClpomT2mqhQlIJJRbmuk4keWIZO0jCQisDSvJCpkuc9QbgS3c7eVggxqveUvI3SaaedRltbG9dcc03OlON4PM4111xDR0cHp5566ogO8u+RHTu289Zbr3PQQQcNKiW0twghOOyww2ht3ZVpsjcWCCGYNnUGdjx7IdQVSiaMJ/r0PkjLnPzxj39k+fLlrFu3DoSCd3l6dTwKnrqxKpyssJiULlYiytSp+ffvGilyeUoxGcBPgqAcfIHbSyZWcYXGHlGDrRi4KLTaQVwpC9ZHKb1W0NsoWZoFAoQUCAQiX8WDNAJ8ps9rEuj2ZPUVyii5ae23dPhKCu8LMSzPMAk3ZZyy9+ufiCM8o2RpnpeUrnfKvCsy5xpreoftE34/8WAQFwjGYgTiCXTLGrAWqTe2ruH2aZvuZZaP3rJA3inhl1xyCU8++SRPP/00b7zxBsceeyyNjY2Apz33wgsv0NHRwaxZs/jiF784agP+e+Hpp/+MoiijKm00Y8YMqqqq+POf/29MdfGmT5/BB2vfR7ouIvU06nOTxJQQAZlAIrB7tbHIJXOC6kv5VAq2ULGlQpmMptaie2W7xaNI12XatLE3Sj6fj1AoRCTRE6LxiyQJ6UPDQjD406SGRZcsJ4mPBAG6RDkdCc/AjWZnz8FIJLwHTtHrRmTpVsbDcXEHvCH1bhKXJm3AXMXFn8hWqEifY6zD/T1GKWV4e4vMWkaWYQEvEWfevHkcc8wxGW04O5kyNul1Nkv3vK1eCFEcRsnWdRxFxZdIojpOpn3F4AcA4bjEAoGcob7RXKse0FPqm6zg9/v57W9/y0knnURHRwePPfYYd9xxB3fccQd/+tOf6Ozs5KSTTuI3v/lNzvbdJbLZsGEdEyZMGFWdQEVRmD59Ohs3fjimIby5c+chXRcr3vMEXO52o0sTBYmBhYZN3xhJrhYkEoGQLpp00HAwpJn1AJuMdqXOud9oTGVIamvriPYySkEZ89aIhJLHs6TERwIpIS4C2ELPGLi6usL0x+rnReDVGElFeoWvOZyk3NmT6QN62XuKkx26632Osb5xZ+aYnozAMy5Jf4/qd6+J5krEcXG9fXp/HjK7ceVoh7kGQ8pe8QQpqexoR5UuriKwVS8Db1AESEUQisXRzZ6GgKm3RtUoDegpnXvuuVx66aVcdtllmSK+qqoqbrvtNrZv385bb73Frl27kFJSX1/P4sWLmThxdLSQ/t5wXZePP97CfvsN3CupN9FolDfffJM9e7ymXZFIhGg0mlffqvr6ekzTqz2ZMKFxn8adL2kDYUa7MEJeIbAPiyqng11qHYqQ6Hnop2nYXpIEjpenJh0CMjt0bEY7qaqqpq6ufuQnkgd1dfVs3tCTep/24vIJjQgEfkwaZAtBN84OpZFI3DNKYy2ZlMZ13X4ZlKqrIqTItDVP/z1NriZxK1evBLw5ytQajau4WeE7KIw3kTYUWa1eeqeAS7zaJTlwIs7atet6thV4UkOa460vKXZqW6WgRind7MuXSBCIJ1BciVQUr11UHlmBtm7gKgLDNAlHIkR6de0uiFFyHIfbb7+d559/nhtvvDGrrUNjY2MmdFdi+HR0tJNIxDO9ngYjkUhw3333Zdq5g1eN/rvf/Y4vfOELQ4p2ps+xY8f2MTNKlZVV1NTUEo1lrxUE3Rh+JU5cCFyGUsCWqKnwlyJdKp1OQjLW70HdSUSZc9BBIzb24VJbW8977/Z4SpbQ8btxfCQRDN4GId26QpMWIRmj1m2lO2GgaRrl5cNX9RgJXNfN3MzSaLaGZmnIoMysK6VDeAPdtNes9SItUvHqm9yBstmEtyg/lqTP17OmhJferVte6C6dUQcD9huyTDtVdOt6wqxKOoOvByFEVhbqWKKqasZwaHa2EopwXPQ8PvOkz4ela+iWjS+ZJBYM4qoqEka1d9uAR/7d737HtGnTWLNmDcuWLePuu+8etUH8o5HOyMmn7fpLL72UZZDStLe389JLLw25f/ocY52aOnPmbJxET7KDBDqVCoRQCMhEP7mgXEgEPjdBtdtOOIdBcm0bKxFjxozCCdDW1dWRtGzMVIZSlBAGJkJKqn0DP03W+SwMTHSSGa8xTAQ3maCmuqZgDRs9Tyn7Nc3W0B0dzdY8UdZe9UoDZk9aXtFouug24U+QS6W2oJ5Sek0pnbghXC98J9PdZz1yJeIoKJ4R0i3wJ7z6Jkund/hOEQpOgdaUAoEgZmqelq7jqKpXlyQlmuN4xdpDYBk6CJHx/rXUfcty3VFtNzLgyBYuXMijjz7KV77yFRzH4b//+7+58MIL2bZt26gN5h+FXHH7gdi6detevZcmfXMb6x9+Y+NE7GQ8c7Oy0DPJDTZaSp1hKCRlThdVTkfOdx3TC+WNlQeYi3SYLR12c4RGUhq4QmHmIKVGB1R5Y1dw8ZFEx0STNtGkTW2BQpGQHfZJIxCEoiF0U/fqjPpctjmzJ5WsA2BpFvFgPGeSxBjXd2eMUub3lw7duVoqLVLJWu5MJ+LceeedrFq1ikQi4SVp+JOpfkrpLft8boooWEp4KBTCdhxcKTF9Pq8nkqb1K4QdjHTaeHr9KV1sWzCjBJ5r/vWvf52HHnqIefPm8fbbb3PWWWfx+9//ftQG9I/AcIzSYIWF+RQdps8x1rHtqqpqpJS4KQ/Na/Xtpv6u5pVQGnTjqKKnILUvTqqor7p66DDoaJE2St0Jk5CM0OA2U0UninQ4e3qSukD/h4HGQJKLprWmV59QcDFkEhfBrqgs2PqYR+5vRrd1LNXCVfvPJ9dNu/f9WeKF/UzdxM7R5mGsVUfSKguZ4lmBJzOULn4dQE6pXyJO77RxgZdO3jvlXagFNEqe0bAcB4SguaGBeMCPlUd0Jo2aumek1R+sVC8l23XzWs/eW/Ia4bx583jooYf49a9/za233sr111/Ps88+y5e+9KUBQ1C59PFKeKQv7rHoLJr+ftJV7GNF+qKVrg0YSCHQsIjJAJZiYA+5pgRJxUcHEl1aVLnt/UyTTMXFC5ntmTYg5dYeKqXuLY6TJEgcdPjuIos/b/Xz7DYDSwoqdJufLPqYoC5JN+fwkcRGp1sGiSSSBTVKAwlkd4W6SPoH13HLlT0JpMp5XBRXwdItdLvXdy+yM9bGgnQoOytEaliQiTbnWYeVNkCa7YXx+uymKArmGP/u0qR/E5br4gMSoRDbJk9h4rZtiI4OdGuA76oXwpXE/X4cTSMWDGY8aNNxRvU3l7fZVFWVf/mXf+H000/nX//1X3nllVd45ZXcRZlCCD744IMRG+TfG2mRxrFoTZA+x1gLQ2aMYCp2rUoHSwki0plYIjvtNhcmPmxFow3PWyqTEfyy1zxSPxLbLsxiMngeYaVPottRoJKAjKFLCxULF4UqH1wwM8Katgq2RjSqfQ4hw0vhyNbGk2y3yoDCGqVcOMKhs7xz4GSFIUh7SrnaqBeiuUo/RYf0QPwJiPvBUvNTCk9LEknhZd1pdlYXWqWAig7ph0KzV4QkHgrSPG4cumkSig39IBAPBEgEAsQDAZKphCopJaZtj6qs17D6KW3bto0f/OAHbNq0CSklDQ0NBev58kmmqclblysvLx/1cwUCAXRdZ/v2plE/V2/icU/RIB0iMWQSkxpkKlwlhuzN2vMEnVD8mG6MuAggXIlPek95InXs9LkKgaIozKoPEre6Cbgx6mRrpjmhXyZxhKcEnsZFIUo4le7ufQZx/HRRTjylDFFYT6n/zSrhS2D6zKysu+GQztizVRtfsr96yVivKaWz75S+i/26CbGQ97CTz5gc1fOW0ll3GtlGSSg4Y5xZmCatNpKwLOilWSqQ2IaOk9QGFWSVQtBVXkZHHw3GRMrIjqY2Y15GybZtfv7zn/OrX/2KZDJJZWUl3/3udznjjDNGbWB/z6xb9wF+v39M9NpUVWX8+PGsXTu2yu3NzTtRNR2Rag/goOGXCdpFRaol+tAPM2lPwmuD7gmBJoQ/Y5TSPZt27tzBvHnzR2kmQ1NTXYXevYsQbkbt20bHEQqatFGEzFoXs4SBJXUErmekRJiYEsRO6QUW0ih5KeHZryWN5F4rhAtXoDkaLi6ucDGsPlI9BUgJT3vWWWu6EnB0UC1Q1Ky1oZxIIKF7RkjHM0yqnfXZeXVKhfGU0tdQtE/4UHUcLF3H0nUqXZfmAZyKMkVB5ngvfbzRvEaHzAtcvXo1n/70p7n99ttJJpOceuqpPPnkkyWDtJc4jsO7775DY2PjmHWGnThxIlu2bKa9fehuqCPFtm3bUI1AjjkqCAFqDkWHvqTreJRUy2mJp6GXbjWuGn6EorBt29BZiKNJqHo8IZHsNxuJiiV8mPiyjJImTRASU/iIiDBxJUCMIJGEV7haqMJZ8LQE+35nmqP1eEnD9GpkL3FT3dY9lfFepGt/xpKeOqVetz9H9bLuDAuMZI980KAo4OrgkMrgy/7cFEXgFCi0XFFRiaZpxPoYJakoSOE1+psxSCbexFQb9b7EUuuGBTFKiUSCH/7wh5x//vl8+OGH1NTUcOutt3LTTTdRXV0YBeO/B1555UV2725lwYIFY3bO/fbzFBb+9KeHx+R8juPw4Yfr0YM9aaMaNiZ66ncr0YYM33lGyUbBcBM51x6EEOiBMOvXrx2xse8NgdopOI6FKwV2v1R3iSLtTCGwg0oHlcRlgA5RQZtSQ1SEQQi2RxUqKyvHJAFmIHKVDhim0aNcMFyEt6akOzrBWO7F8ULpw2UPIq2Dh1dz5OufuNAPmXpSkqpXo5RjHUoohVg188LKNTW1RPsknyRThka1bU42TWpzZOXWui7HCkEiR2F+QT2lT33qU9xzzz04jsNZZ53FE088wcknnzxqA/lHwHEcHnro99TV1TF79uwxO291dTXz5s3jL395ks7OjlE/3+bNmzDNZEZiCMjIBXmGRsPKczlTInBQUaSdul+4mdRyAD1UzsaNH455S+3eVNdPpCnmI2G7JPFlOROulGii54cvEUhFxVYMDKxMiDKJj20RQUPD+DEefTa5FB0Q4Ev6UBxlrwyTq7oYCQOflUMNX4y9UUqvcw7ooTlK/h6hFKlUctFP0UFKWbAiaID6+gZivRIt/PE4wVgcKQRCSkJScmUkygmJBFrqswi7Ll8xTSosi/Kurn7HjFoWoWCQQGD0su8G/MSampqor6/nF7/4BTfeeCMVFYWRPfl74rnnnmH79iaOOOKIMQvdpTniiCOwLJP777931M+1evUqAIxwZdbrCi5S9oTl8kEAluLDTVXYB9xs7TtfuBLHsVm3rnDZnrUNjTQnfWxLltElymkTVUQIYkqVAEl02XNjkAji+EC6BGScCtmFic4equlOuNTXNxRsHpAS8uxzabqqSygaQrGHcbPOHNBLdAjEAz0CqL0oRHuHtKGQvVVFVMeTGDJ1r4g27R0OhhTeH1eAZmapQIBnbDO1UAWgoWFcxrPRTZNQNAoCIuEQ0XAIV1Upk5KzY3HqHe+zKAMMnw8pFMo7O/H3aVMUNU3qRvkaHfDOcM455/DEE09w7LHHjuoA/lFob2/jnnvuZvLkycyZM2fMz19TU8OiRYt4+uk/j/oNfNWqlRjBMKqeHZNOYOAKgYKTKRzNB4lXfBtwYxhkx8iNUCVCKLz77jsjMva9oaGhgW0xH7GkQ1L46VYqiCphksJHEh8x0eMhKDiUuV34ZRwhHVQs/DJJrbsLOxkruFECct6MhSLwmXvR90uCaqsYdv/1ifSpxvoBLR0ezcqMU9MSQ+mQXL5jkl64T5At6opnlPKREhstJk6cRMKySNg2/t7tQYTAMgwcTfX07Yzs1ui6beNoKqrjEIxGs9Iju02LyZOnjuq4BzRK//Vf/zWqbRX+0fjf//0VyWSCk08+ecx/hGmOOuooysvLufPOW0etmDaZTLJu3Vr0UGXW6yYacSXoZaXl6B6bGwm4XnJ4KuTQF0VVMULlBTVKVVXVRKWftV1BL/1bSvzSuwmouBiyJ/1bx2YyTVTSSTndlLudVDutqFYXc8riBTdKQoh+341maziKp16Qy9sZlHRkSw50q5Fj/ntI39es3gWkjuJ5S4rrafS5eYbdBF4qeaohZW9MO0lZL2XtsSZtPDoTXlO/LCQ4QvHC4baDInvU7X3xBKFIFH8iQUVXF5Xt7ai2jek4RM0kkydPGdVxFy7g+Q/E2rVrePnlFzjssMPyUgYfLQzD4MQTT6SpaSvPPPPnUTnHhg3rcBwbX5/QXUwJYAk99SAqcPNICRepqiYHFSFdYkowpzEzwhV8/PFmotHIyEximKiqSkN9A9sjsEtpoF1U0UU5Djq2UNGxelpapFbJgsRSrf0SVNFBrd1CnZFkSu3oFSXmg8ihsKBbOq5wcTRnr8QXLN2iK9Q1qt1Kh0Nagse0eq1DOkqqtbniFc/mlREovXUkRXjp4H0Mr2WZhMOFNEqe8ehMJrM8ITWlGh4PBFAdF8XN7gSd9pD8sTj+aIxgJEJFRwfRSDTruKNFySiNMlJKfv3r/yEcLuOwww4r9HCYOXMmU6ZM4YEHfjcqN/F0JpwR7lmDdFBIiAAg8Vr1qeQTuhOQqvtJpX4JkVWImsYIVSClZMOGdSMyh71hQuMkOmM9oqyKcDMZd9nrZzL1CdioXkN0NByEYzKvPM6EqkCOo48dYoDCUdVRUVC8Rn97QVd5F5FgjutNjn34Lm0okmmVE4mXPWel15I08gotp9tVKI4X7usTvjMLbJQqK6sIhUJ0JhIkfT40yyYYjRKORAjE4/iSSTJfdrr1iJRojo3qOBimic9MUtnZRWVHB2pnJwCTJk0d1XEXjVGybZtf//rXnH766RxwwAGceOKJ3H777UOGmV5//XXmzJkz5J/eXH311QNu9+Mf/3hE5/Xaa6+wceMGjj76qIKm+qYRQnDccccRjUZ49NE/jvjxt2zZjO4Poqg9sXSJwBLeD93J6B0MjfdzcTGkhRDSa/WXQ3JfD3hPvh9/vGWfx7+3TJjQSGfUxJUS21UIuxFCshtVOiTpWU/xxJUkChIFJ5WHaCNck7AhKFOH1iQbTQzDh+xTv2Lplte+IpmqMxpmXoJUJLZuEwlH+nlLrivx+fZirWofKCsrQ9N04unWKo7qXWy2BnbKg89nTUlzQJWpbUVWSriUklgiWrC29uD91idPnkpXMomjKPgTCTTHQQqBFAr+ZALVcXGU7C7JwpUI10W3bYQrUaSLP5GgqqOdoM836l2RC7cK14frr7+eBx54gEWLFnHCCSewcuVKbrnlFtavX88tt9wy4H6NjY1cfvnlOd9bvXo1L7zwQj9x2HXr1lFbW8t5553Xb59Fixbt20T68NxzT1NRUcH8+YVTHOhLQ0MDM2bM4LnnnuH8878wommrW7duQTWyn/YVXGw0SN2M872nCVx80sSQFgouLmrOPkyKpqMZfrZu/XjfJ7CXjB8/Acd1KYtvZ6rRTpgIZURQsbFREfRfn/VS21MPXa7AF6ws2HpjmnA4jGM7qSy8lKKG8EqYA4kAMX9s79LCFRdTNzE1E5/tGSFPRd4Z1TYIuVAUxWtjH08ZJVvzFBzSvZSAvCeZNl5adl2TaZlYlllwHcNp02awcd1aAtEY0VAQXzKJblk4ikC17VRBes/ARTpnQ/QIgemWha3pBBMJZsyaM+rXaFEYpZUrV/LAAw+wdOlSbr755kyV97e+9S0effRRnn/+eY4//vic+06cOJErrrii3+vd3d2ceeaZVFVV8bOf/SzzumVZbN68meOOOy7nfiNJJNLNu+++w6JFiwpar5CLefPm8fjjj7N27QfMnz9yhbwdHR0ogWxNP88rcJEoKDiQCt/ZRhlGPHd9kW2Evbom4a0nKYCQLjq5PWdFM8akBmsgJkxoZF5ZlFo7hmoYxEQAQyYI4eDDytL6S3uKIrO65uBKhVh4EiiF9abTQpvSkQjNG2c6SUG3da+53d7ck1Lt0G3Nzhgl1/Y+k7E2SpDKmPw41RtOplLBFS+xxgvf5YPwus7qNviyPdxY3AtV1tcX1ijNmjWbF//PJmEmCRkGSZ8P1bY9qSFNR3OS6L0KaKUAN3Wv6v01q7aFZdvMmjaD0aYo7pT33XcfAJdffnlWW+VvfOMbCCF46KGHhn3MH/3oR+zcuZNvf/vbWe7mpk2bsCxrTNKy3377TRzHGdFzGTmkP/aGGTNmoGkab7yRW+l9b5BSEotFs0J3aXzSW2z1Ah3ezShZPmnAYyXLJ2OjY6ULbaWkwu0a8H4oVDWv/lKjxeSJE5lfEUW1o1TKdqpkB+BlHUp6FNGzg1cyVbHlsDOqodbOxg0WTmIIejLT0gYDvEQHgSBhJDD3MrwoXdkvc0863qdRGKM0nmgsvcYlU91mGZ7BVdIGKemllPciEvOuxfr6cSMy3r1l5szZqFISSSZBSoKxGJpto5kWrqpiK0qWp9QbR1FQUzVkjuOSFIJps0a/6L8ojNJbb71FVVVVP5WDhoYGpk6dyptvvjms423YsIE//vGPLFq0iDPPPDPrvfXr1wOMiVH6+OMtaJpGQ8O+p/n6/X4WLlzIZZddxkEHHYTf798nzTDDMKirqxvRdZiBxuO9qhBwE6he31kEko6JS7B8lf22t/xVdExcktISVzAVH5q0+tUo5Xv+saBcszi0Lkm10k1QxgjJCGGiaNh9DJHATflIaWNlOQqqIqkeNxk3XFhFh/TCfG+jJFLSsbFQrF/ribxRQTW9ZIk06XMUovRkwoQJJM0ESTORWgsSKf27YVglISEQ9zrQ9qE72pk6T+G6IgOMGzceEQzRZZpotk24q5uKrm7C8RiGZeYMhwspvWw9pacVehzYoalMX3DAqI+54OE70zRpbm7mwAMPzPl+Y2Mjmzdvpq2tLW/NvZ/+9Ke4rstVV13V7720Udq8eTPnnXce69evx+/3c9xxx/G1r31trwzIhg1rSST6X5itrc3MmDGDPXv29NM06+7u9jp05sm8efO46aabEEKwbNkyli9fznvvvUdra2vO7Wtra7Nivx0dHf2SRhobG+ns7OL9998FvFj7fvvtn7XNhx+uG1LCxzAMZs+eh6Io+P0BpONQ4et5LnZQ0ZUolrCwUbCEjo1GRPXRNP98yne+RVnzSoR0QPdRtv8plBsRoDvlSbj4VEm5o6AgsVyIWj03RwE01FZTW1ubmUsuqqqqaWzs8c7i8RibNn046NzA0/nqLf/T3d3Fxx9vztpGbX2faPlcom6c1tSNdyI7qKOtV7UVxAjwBgvpvbRsAruCKo4ME/1gDZMmTaGiojLz/u7du2hu3jnkOKdNm5HldezcuYM9e3JfH72ZOXM2fr+3Dlhf30BVVRWVWiWG5nnljuKgKRrlsXISdgKpemPfHdoNHbmPqQU0pkem97wgIWgGKXPL6MbzIuyEp3ThOPag3xuApunMnbtf1mvr1n2Qadg3EH5/gJkzsx9216xZjaqqNDY20p1oQ/odr9ZIaKCLVKa3j6BeTmcy9+fn9wdIVG/xHut7C0MIDV3x0x3pTHVElkPODaCmpo7x4ydk/h2NRti8edOQ+40bN57a2p4QYWdnB9u2Za+tzjrwQLq2NxEXgl3jPc+tes8ewt0RNJyUUpKX4JH0+dg4a5a3o/DWm0zDR6fjsCfg79fcr6VlJ62tu4Yc54wZs7KkiVpadlJTMyvntgU3Sh0dHQADFpmlX+/u7s7LKG3ZsoW//e1vLFq0iIMPPrjf+2mjdMcdd3DyySdz0EEH8e677/Lwww/z8ssv8+CDDzJu3PBc7ng8Rjze38BEIhHKysqwLKvfU7zrunkXsBqGwTHHHJMV2jz22GNZu3Zt3sewbbvftuFwmD179tDd3Ymqajl7Y8XjcRKJeL/Xe9O71XpFZSUdsSSaoNd4wS8cdEwcoSKxMdG8Rg96BR2Tj8HfuQUj1opqBAn6NTIJACmfQpMgMdCkl+HWGyHA0FSCwQCxWJSB6PtE7rruoNun6fu5OY6TvZ900bt242oB4pbIGCAbDYFE7dXSwkUQJbsWqcNRaEOnJt5OLBbt1+7Asqy8xtm35b1lmXnt1/vaHD9+Arquo0oVTXi3B6lKdHQkEp/bkynnNDioHbnrzfy1fvxOj6Cnaquoioohe8LPdtxOPcj4hxxnrrB1IhEbuNvtIMRiUfx+P4ZhkLSTBKULWhJwMi3RBQp1oSkDGqWamhpc0b9uS6QeSLpjXTROmpgJaQ9FeXm2jFu/a2wA+l+bdr/9amvr2LqrBRsBqfUiV1GQisDUNAyrJ0lDKgqxYNDz46VXtG4aOrtcSXljYz9JqHyvzVz7DUTBjVK6M+NAayXp1/MV3Lz33nuRUvKlL30p5/t+v5+pU6dy2223MWtWj6W+8847uemmm/iv//ovbrvttuFMgdraqn4/DiklHR3tTJw4EV3X+2WsKIqSd4q4aZqsWLGCZcuWZZJAVqxYgW3beR9D07R+htHv92OaJj6fRk1NDYqiUFeX/XBQX19FMjm4+KLP58vsN2/uHF569TVsSUaBwUViKl7Fu4uNKXwk0bBSpbH0KqR1gbjbd04SBRWfG0OVEqfPjcC1LeKxKOPGNdDQMHBxcm1tZdb8gkFl0O3T1Ndn76frDp2dvfaz4rAnQVx3sc0oPleA4qk39EVBEiKaWk0SWBjEEw5lfj81YRWqAtTVVVBd3XM+x6nENIeuKauvr8h6uEskKpFy6N9NXV05gV6N4MrKy0jEEqhlqa7FmCSVJHE9jqM6mRtY/OA46g4VtTvbMClhBX2BTkL1HtSEI9CFjouL3UsH0I7bNDQ0MH58LfH44A8+uq7nuDarh3woCwQCOferqanAtm0SiThKUPdu1pn6JIFAYcGEo2iObCJitmftHwqGmTdrPko/RfiexoGxeIRp06ZQV1e+V9eY3w/t7cPfT1Uturuz94tGp7Lj7TexdR2/43jhOcDSdKSmofa2rKk6pfTfHVXFdSXdiTjT6uuoqyunsrLnfKZZieMM/t2Bd42lu+ECJJMDNzgtuFHyp+TRB7q40jf73j+agXAch//7v/+jvr5+wGy922+/PefrX/nKV/jDH/7A888/TzQazfoAh6KxcTpun9qO9vY2tm7dyuzZs3Pm9ZeVlQ1LgmTdunUsX76cY489lhUrVrBu3TpUVc27ZqCysrLfa6Zpsn37dqTUmTLFW2Nrbc1OFhg3bmpex0/v19g4BSvxPG2RZC/tO4cuRcEWKnER6PV/HQ03K0k8KTU+tvvXdggcplhxxrn9n8oS0S7atm9n9uwFmXkMNc40Q22fez81ez87Tmj7QzihPXR2fEC5omRKfNPyQumMOz9J9mMLEoUYAboJ09zewfQZs5g9rgJz0jQcR886n6qG8hpnIgGJRM9+fn8lU6ZUDrlfJGITifTsV1Fezfvr36Wuxru2onqUdn870WAUR3Nwe9XjdJ/ejX+NH98HPoQrcH0uHWd0sCewB/Ca/Om2js/0oVs62D1SRU7SYcK0idTXTx5yjND/u5swYfoAWw6+X/qzTCYtdrXsYkb1QkABqYPp70nz1iUnzD2f9bve5MOWlbjSwWf4OPGIM/D7Br4fmVaSRDJBRUUtkYi9l9fY3l6ber/9amom8NRPfoJu+KjVtIzRcVUF4brYioriuKAq6JbFuJ07UVyJpWuYuk6TphFvb2f/0/8Jy1KzzmcY5UyZMnQH7VjMJRbr2S8QqBxw24InOoTDYRRFIRLJ/SSYzqjK5wb+zjvv0N7eztKlS4edS68oCnPnzsW2bZqbm4e1by7SNTMj1XsqkUiwatUq7rzzTlatWkUikdjneoH02PrGoPeFhQu9Oq9E156s10NuFEcqJIWPBH4s4WXWuWlxtCGQqCREbm860bkHn89XuO6zWgC7YjqGrmFLlYitprrrin6K6BJBRJQTFWEcoRK1vQLSippxuIE6pG/oH/hoM2nSZKy4lVVEq0glp+6dDEjii+M4FSn1iqCLDKT2SymESySu4hKMBTPHkK7EiltMnJifQRoNxo9PZeClW5jrDhim9+9UuxG/UsaBE46jPFAFQMAXHNQgQU/m3XCXAUaLcLiM8IRG2h0Hy/C6zqZlh6QQuJqKq6bCekIh7g/QHQ5hGgZSCNpsGyEUJjWMzXwKbpQMw2DChAk0NTXlfL+pqYnq6uqcT/p9WbFiBQBLly7N+X48HmfVqlWsW5dbjiadeDASFeYbNqxDCMH48SObTbU3MfSBCAQCVFVVjWiTvClTplFXV0+iIzsWL5A4Qk2pGTio0kkFsLJbhQ+MS0Qtw+6jmSelxOxqY9GiQ0csXX5vMGefhfRXohsGZOLnKY8gkxae1v3zUPDC0jFHITTlYJyKqZBDsWKsmTNnLtKVmFHvWhMIdEv3+imlVZ/yQCAQKa9DuIKySK+wT9REupI5c+aN9PDzpq6unngyBprtZdIprpfaLaTXuM/t9cCU9p5cBZLGoFl68UQMoKAdhPsy7oCDaHIdXCGwdZ2E30/cHyAeCBIPBDK1SQhQXYdAIoEvmUSzHQKRKFOrqzHKx+aBqfC/ADwVhdbWVjZvzs5oamlpYcuWLQNm5vVl1apV6Lo+4Pa7d+/m3HPP5eqrr+73Xjwe54MPPqC6uprGxn1P41y/fi01NTVjLqEyXCZMmMC6dWtHLJ3aS8I4gWR3O3ayJ9ZsCgMpFDQc/Fjo2CnBITeve1z6CTsqste3Ep27sa0kxxyTO1w7VshgHfGFXyFh1OG4Li54mYapWqu0UXJR6KCCmAgQF362dOtstyoom34EbuW0gs4hTTrLzexOPQBJr1ZJtVVUdxj9gVwvwcGf8ONL+LI8LbPLzDpXIaisrCKRjOPierVGWspDstMGCVJVv9k7Oiok/JmkiL4kUtd9VVXxdOieueBA1mkarYaBrXptKXxmEp9pEgmGegpmpURLrfM7qkZS1zAti5ll5QhtbAq7i8IonX322QD87Gc/y2RpSCn56U9/CsC5556b13HWrVvHjBkzBnxinjRpEvPnz2fDhg386U9/yrwupeQnP/kJbW1tnH/++fscFrMsiw8+eJ9JkwYuDi0WJk2aRFdX54iG8JYuPR1FUYju3p55zRQGWmqR20XgNQhXUkvK/Vsy90WkKhvjSnaL5tju7dTV1XPwwYtHbPx7iz1xCTunncfWmI8uJ0CMIEl8RAn10vsTWIqfVlHHblHLil1hOmsPQQ6QHlsIKioqGTdufMYo6baOpVsoQkFxFJR82jpIvO0Ur0mg6qpekkQKs9tk/PgJBW0eWlFR6XnaZtJTczBMT25IdVMhPNlLeqiPxwSeiGsO0kapb0ZdIZk3bz+6FYXVfj+xQICEYdBZVsbummqSwZ5wpBQCUzdI+AOYPoOE4yClS+XU6bhjpJhSFEbpyCOP5PTTT+epp57i3HPP5cc//jGf//znefTRR1m6dCnHHXdcZttbb72VW2+9td8x2tvb6erqGlLW4/rrrycYDHLNNddw+eWX88Mf/pBzzjmH3/72txxyyCFceuml+zyfdes+IJlMMm1acTz5DkZ6jO+88/aIHbO6uoYlS44h3taMk+pZIxGoOAjpYAojlSrt0JNAPTDethYKElv05OYkIx0kI5186lP/lDOdvRBUHnA6f22pYk20ht1KPe1KNZYw+qwrgRQKLbKGjW2SaTPGvunjUOy33wKsiFfKoDgKlm55HpOjozrq0KKswjNGjuJgGiam3hN2llJiRS3222/k5K32hnQtWNJMlXM4Kti6Z5jSXWWhT8gyHcZLSRMl9X6hvKSZIBgMFoUAc5r6+gYayisob91NeSSC7rr4LAufaWa16XAVhe7yckxDx1FU2l1Js6oxbv8DkIkEcogsyZGgKIwSwI033siVV15Je3s7v/nNb9i9ezdXXnklP/7xj7M8l9tuuy1nyvZQ9U5pFixYwB/+8AeWLl3Km2++yX333UckEuHKK6/k7rvvHpF1idWrV6GqKpMnF24RN1/Kysqora0d8SZ5n/3s+UjXJbLL0xfzDBCo0kFIr3+Li5LSd1AZaKFC4KJhYaTCfenW4lJKIs1bqKio5OSTTx3Rse8L9ROm0KVU8mGXQZuopkU00Crqeq0pQZwA7aKKrREv3XbWGEi3DJf58w/AsRysqIWt2Z5KeMogaY7m6eENEXeVisRRHaSQJIIJnFTygBW1cCynX6H2WJPOsLXSBbi2lvKMBtlJApEgRINemwvT8EJ5yZ726ZZtZTQEiwYzydF1DQR61RQJwLAsQrFYz2tSYusa8WCQaDhEk3TxV1cTSrfgGAPVlIKnhKfRdZ2vfvWrfPWrXx10u3Txa1+mTZs24Ht9mTFjBjfffPOwx5gvW7d+TFVVVUEX3odDQ0PDiCtsNzZO5JhjjufFF1cQqmvEb6hYqo4rFAQuJkGcTFlpjzYc0Mt78rwpNZUQoUmbQKqja7K7jWSkk8//y1fw+fy5hlAQhBBo4/eno/UtpPBKZuMiiIMDuFhCZ4fSCELQ2ullKPZVHCgGFi5chBCCREcCrU5DdVVcx0U4AktYSEPmpxMnPCFW13WJBWPo3TqJDi9zNJ2pWSjS6gSWnfLiTC3V7LjXelJfpPCMF6nthAtGyqiZBvhMLNssOqPkbN/OlMZG3l/9DpbtoGs9kQU1VbsEfb5SKekyTebO9Dx54fNBHqU5+0rReEp/T+zY0TRiqeBjQXV1Ne3tbUMWMA6XCy64CFVV6d6xGQ2HgBsjiY+YCOIITym8f/NtUqE6F9HLWPndBJVuB4Y0kdKle8dmGsaN5+STTxvRMY8EE2bsz2stOlGnJ3yTTsF10DIN1XZ1xqkoryhoz52BqKioYMaMmSQ7kggp0FI34qQvie2zkUr+T8wSiZCefp5pmCQ7ksycOaug60lARvbGsiwvFOfoqd4N6bmJtGx2nz1Fz/9czWsOKMlo59m2lVdd5Vji7tnNxKoayl0XNRLBH4+jmya4PW3QIbuNRdy2sRyHiRO9tXF10uQxaa1SMkqjQEdH+7CKbwtNeqwj3fqhtraOs8/+DPGOXSQjnYDAkCamMFKt7dR+6eDpBng6DioWhrSocNqpcdvRpY1PJonu3oGViPLFi/+1qOL2aWbOnE2XpbE2EmanGE+zGJfqJ5VNa1eSWbNHvz/N3rJ48WGYERMR9/TgHOFg6qZXPDvcIUuv1slyLcyIyeLFhe/CnPaUHEt63o9ie/PSbE8BHJleAOyV4CA8I+Ro3g1d4iVCOCnPw1WwbKvofv9uSzNViThC1TBtO5Nl508mMoYJwFFVkqmM4c5UiczEqdPQpk1H/UepU/p7pL6+IbPG9Umgo6MDRVFG5Yn97LPPobq6hu4dG4nip0sN46L2FFGmzFBvNGmjp5r7+WSCkBvHcE3K3G5cyyTS8jEHHriQxYsPHfHxjgQzZ3qZdLs64rhCxRH922tbloWdiDBvevGuO6YzGu1WG0dxSAQS3jSGUauURrgCR3UwI2bWsQtJRlw0bVC0VGtzSH1dIjXf3jI8qT+uAMsAK6Us3isrzy6yNSWZSCAjERShUFZbR3uv+Qgp0S2rp5hWUYiUldFeVcWHQrCropJxS09HHUO185JRGgUmTpzMnj1thR5G3uzZs4dx48aPitfh9/u55JIvY8YidCQkDlqmaDZtkvrf37x1Jk2a+GWcCreLkIyhIOna8RFCSr70pcuK1sOoqqqmqrKK3d25VOAlFW4HZbFt7F8R5eCaOHrTy4jY0GreY8306TOprq4h2Z7E1no06xTppYbni2ZraLaGozlY7RY1NTVMG4NmcUPh9wcQQvQI2QrASHoGJm2oZK4mSykjJBXPY7KVHqOkOkW3puTuakHU1IIQ1NTU0i5dYrqBrWq4qoqrCJw+2auuqrLVtpmw33wUbWxTD0pGaRSYO3c/uro62bp16z4fa7BswuFo5w1EJBJhy5Yto1pZf/jhS1hwwELilgNSprrzAJkVpWyzpGAjcFCEwBE67WoVceEjGekk3t7CWWctK3ifmqGYNn0Gbd39xVBVHMJEiKQ67jbUNyCsGPqudxHx4nqQEUJw5JFHk+hOYKkWqqOiOiqKq6A5ed6oUq2KNFdDOAIzanLkkccUxQOFEIJQKEwimcpIszRIBsBJryWJ7BqlXKSNkytAs3ClS9JMjshvc6SQto0IBlEmNFKTUpmIuS6WzyAeCNDZa21PuC7CdTEdh85EoiCKGyWjNAqccMLJVFVV89JLL+2zUsJgaeUjkXL++uuv4zgOn/lMfgXKe4MQgou/+GWwk1h270JZkSqe7Y1Ew0GXDrq00HCwFIM2tZrO7Zuprq7hnHPOG7WxjhRTp06nPZLE6SPZnxZo7Yqb+AMBwmU9qbZqx0djPcwhOeKIJbiqixt1eySDUkkLeYfwXC8Djz1eG4wjjlgyegMeJnV1dbTHW72U7qQvFY5L1SmRHZYbEEV6HWiFVzgrpSwqiSGRSrpQKiqoXnwIcSFImqanFu5KQtEYSuo6VVyX6rZ24qnlh9mz5475eEtGaRTw+Xycc855NDU1sXHjxn061lFHHZVT96+qqoqjjjpqn47d1tbGqlWrOP74k7IajI0GUyZN4oCZ03Btr1jPC9A5KSU4r24JvMAd0lMFh54azXgsRkQr45JLvpJRli9mpk6dhisl7ZHcrSO647bnJfV6ClcS7eDk1x9rrJg9ey5V5VWwx1NoUFwFW7VxDCevZAfFVVBd1atVshKUhyqYNat4ioXr6hqQVtr4SEDpmZeEASeZ1srTrJ526K5CNB5JHbd4jJJSV4/QNKTj4GttpS4UJuo4SAnhWAzDtjLZdx4Srb2DkJQFKVcoGaVR4sQTT2HKlGn8+c9/prOzc6+P4/f7ufDCCzn00EMzqgXBYJALLrhgn27OlmXx2GN/IhAIcO65F+71cfJFEYITj1iEHwvXjKPgouKi4qB77ccAb5XJERqu0LCETlL4sF2JHe1k/MwFHH74kaM+1pFgyhRPKWN3V/91JdeFSMKivj5XNlPhWrrnQlEUjjr0OJxdDoqdVpJ284sAyJRmoeLtY2Fx2H5HoCjFc9upq6tHdQPeyqZm0/P5pz3BXFkdspdRclL7AUISTSmE9+4GW2iEpqHNmYdsb4NEgpqaWuK2jebYOKqCpWkZTylNdzLJftU1/TrNjgXFc3X8naHrOldf/e8IIXjssccyzQz3hlAoxHHHHUdNjde8KxwO73PK6bPPPsvu3a187WtXj1mdzPjqMo6aMwlhJzIegZfqkLteyUMQS9q4Ek4+4aSiWIvIh/HjJ2DoOm05PKVY0sJxXOrrG7Jel0YY1OIruD7qqGNQOhXcqItqq6mkNDGk/RSp7DUXF9uxkabkxMNOGZtB58nUKdMRUpC0kp5TpPS+OYtef8h+PR3W8yUg1R4e1aGtcw+G4Su6NU+lshKlphalrp6y8RNol5KYqmH6fJm6ud5EbYsZDSPb4SBfSkZpFBk/fgJXXPENmpubeeaZZ0ZMiXtfWblyJe+99x6f+cy5LFw4dqm5FX6dkw+ZzwQlAolONNfCkEkCMrtoV+l1t3MdG9tMMHn6LOZPLa4f+mCoqsq48RPojGYbJYkgmvQeUGpqsx8GnCJRCe/LrFlzqKyvQu6WuKpX1KxIxeuxNNCaS8rBUBwvHCZNSblawdzZhVMFz8XsOXNwpE2sV3NEzwYNouogZErJIQlKav6aDapLW2crM2fOKhotxjTScUAIlLo6KufNZ4+m0i1zCxiato1p2zQUyLCWjNIoc9hhR3LOOefx3nvv8frrrxd6OGzatIm//vWvLF58KJ/73AVjeu4JFf6UvMxC1GQ3arIdHxYqfZMBepIh7HgUVQgOO3A+jZXFv5bUm8bGiXTGsz1kG41dMe9GVl3leb5S0bBr5uKGiqMpXF+EEMw6ZA6JcALpShRXyUp6EDl6CwkpUF2vHk04AtdymTl3dlGF7gDPo9FsOqK7euxPZi0p9ae3yoOQnoK45qRSwr2sOwwLx7Hp6GorSHLAUAhVRaRKPurrG0AI2l0XXIlumiipB2bFdbFSWngN8wrzAFFcV8jfKeed93mOOupYXnjhhQEbDI4Fu3bt4vHHH2fq1Gl87WvXjPnTXNin0Vjhp6amjolVIdx4FCnTynepH4V00aWNKm2wEhDrYMG0Cew/sZaqYPGFtgZj/PhGuqJJHLf307bgvY4gG60G9EmLsesPwJp0DG558bY56TQ7mDRnMlKTuKaXhecqLlJIpJCpHMqUkUJ4RqtXyMt1vfWZcVPH0W12FWoaOVEUhUkzJ9DatQOpuF5YTqTcvPT/+y4rKanWFrrlJTho3kNUy56duK7LggWFFZodCGWcF44zfD6qKqtos210y8r0T4JUP6VIlHLXZdKiQwozzoKc9R8MIQRf/erXmDNnHk8++SQ7d+4c8zFEIhEefvhhwuEw1133vYJpc1WHDGbXhThu8QFo3U0YnU2UOx0oMl255LVOD7tR1PathOwuTjv8IPafUDx1H0MiXZTIDuZXW8wKR5HxDtJ3NYGkwm3nqKl+1Lb1KNFmhNk96OEKTXNsJ9PGTccf8mMJC+GKQYtnNUfr6bkkQNqSkAwTLA/REm8eo1Hnz2FHHEZT+wai8e6Uc5QKz6V7KgFZ60qu4hkmQS8jBk3NHxMIBFmwIL+mpGON2jgRJVWTNG7ceNSkiaXr2Jqe1UCmXUr0qmr8BfJqS0ZpjDAMg2uv/S5VVdU88sgjdHeP3Y3IsiweeeRREokk1133nwUVAA0ZKoamMHfqROZObIC2reiulanfAbxmFmYE2bmDIw/en1njKin3F5/GXU6cJPqO19Ba19BYrlJnmNSY2zGkJ6+jSYugjFFfW41wbZToLvTmtxHRXQUe+MDEnTiqojGhZiLSkRmBVs3SMk3/eofz0hodiqsgHIFjOoQnhBFC0G0VnwFevPhQpJB0R7p7eUG9DVIf0krhaSFWPG9w565tHHLIYUWpxwheCE/bbwHa7DlUTZuOY1vEdJ1IKNizNgaYtsW4ujrcXYW5JktGaQypqKjg3//9P7Fth4cffhjTNIfeaR+RUvKXv/yFnTt38LWvXcX06YWVd9FVhfqwJ/h4yCGH4zgWZrQnZV7BRZUOia49aNLhnBOXMKsuXKjhDhtt91qE6SkEVAdVZpbFKJOdqKl1MhUHw41n155JF23PWhhg4bnQaIqOlC5Txk9FxARuwkVBQbd1dEtHN7NvwhKJYntSRNL0jFiwPETCSeQUlSo04XAZixYcTiTSjZsWZSUdyuulCJ5GyJ4CW8WFhJ+W1p0kzSSHH148hcG5EIqCWldP5SGHsUtVSTg2PsvK0vdTLItJQhmzTrN9KRmlMWby5Cl84xvXsmvXLp566qlRz8h78803Wbt2LRdccBGHHVYcNT4zakNUB3WmTZ1GTXUtye72zHuqtKmw29Ga3uGkA6Yxe2LDIEcqMuw4Snx36u9JyiIbmRxyCBHPeIKKtDm4qpupWitqx0eIpLfGIhwTEd9TqJEPSr2/HomkrrKeYCCE4zpIvAZ+rup6bc57XcaKVJCq9PooSRfD76MyWImhGKiiuLLS0hx68NHEzSjRRBeodq/EBtdTbMj1O9Us0DzjtXNHM+XlFUUhNJsPEydOxkIg4tl1dOnlz4qycmR7e449R5+SUSoAixYdwvnnf4G1a9fy9tsj14a8Lx9//DErVqzg8MOPZNmyz43aeYaLqggWjC/noIkVHHvwfOjYjuL2ZNwluvbgOjbHHXdiAUc5fIQVy9y81M7NqNFWAn4dy8lWrKjx2VRqFiLZ5RmmlBirKDI1hzS1/jqqfTXEnCi1dXUQ92qPJBJXuF4X2jQy/T+Ji4tjO5SXVaAIb5uwXpxe75xZ+4Hm0NG1xzNCmtMTytPsbE8JeowVYJpJIt0xTjjh5KIN3fWlvr4BR9Mwnezs0LQnW15ZCaqKtMb+miwZpQLx6U9/lkMPPZy//e1vbNu2bcSP393dzeOPP8748Y1cfvnXi6roNG45fLQnSlNHgoMOPhQ12Y3sdUOOd7RSXl7BggUHFHCUe0GvwleluwnwlKhtp2cZWSIxFElA6zHCamQHOBZSH/vq+XxQhML0spn4VD/+Cj9OuYOtpBr9SXAUJ9P0TyoSW7UzHpTUJIFQAE3oGKpOuVFZ2MkMgD9kMG/BXFo6mrBtqyfhAehXq5QusHVUcBSa9+xAoHDSSUvHcsj7hKqqhMaPp69vLqVECkHFnP1A18Fxcu4/mpSMUoFQFIUrrvgm9fXjePzx/yOWqg0YCVzX5U9/+hOO43Dttd/JdNgsBnZ0JnhrawdNHQl2R03iapCymYtwe4VHrEgHixcfWnQFiEMhjTKkrwwcK+P1+Hw+bKdHlsdN1cD41F4PCVIiXBPprxzzMefLmvb30IRGQ0UDuqYjLS8d3NVcT2y1N6mpSUeiaRqVoUrCRhkgqNDLx3zs+RCq8nHQwoNJ2N3s6NycCs3Znqek0D/pQXFBcXEtlZbWnUyeOnnU9SNHmprJU2kGoqFQpp+SDURqatEqKxGGAamGf2NJySgVkGAwyFVXfYtEIsETTzwxYutLL730Etu3b+fSS6/ItDIuBiJJm427o/2WumdMn5lJSZWui2NbHHTQorEf4AhgV88FRUEangxUMBDEdVy0VKKDLlwMn47oFcaSqo5dUZxqDgARK0JrwsvEklISDISQqf8AZJ8btnCFp6RrQ2WgCoEg6SQIaCGcIk3m8Id1Js+cwPTpM2ne3eQlPPiTqfWlPmNOa94JiES6wFU5+sTiWK/NBykl0nWpmjKVDsfBVhTcVPq3DVSksnPV8RMKEmEpGaUCM23aDP7lX77C5s2beeutt/b5eDt37uS1117jpJOWcswxx4/ACEeOHZ25mt7BpElTMn+XqbWl/fabPyZjGmmkvxJz4tHYNfNw9SDjGydx4KHHcfHhDSyaoPPFwxuYPO9QnOqZSH8lTtlEnJp5yEBNoYc+IK2JXQS1EEIIOswOfAE/OCDsHJlp0GOwVFADGkknQblRgS40dKV411zK6wIcfeqhtEWa2dWxzTNKZVEwrGxFh14datu69uALahy6pDCFpsNBxuPYG9Zjvfoy5qsvMz0ep00Ion0a61ZWVqGOG49aoAfasW0pWCInJ598Ku+99y6vvPIK++23316LrSYSCR577DEmTpzMJZd8ZYRHue/EzNzx6fETesIermN5nVurqsdqWCOPEcKaeiIyUI0S2Ykv0cahZbs5fGYnrhbGrZiKUz0rs7lUNNxwcUoMAdiuhaZohLUyXOni8/lQVRXXdRGuyArfSaT3qGt7dUqVgXJUoWE5JmV6GZpS3Lecgw9ZRKBSZW3T24ybWO/dpW2zxygpLhgmuIJ4MkFrxzaOOGVx0YeaZSyG9d67yF7qDdX+ABMch3bhdZrFtrEAccCBaDNmFmysJU+pCBBCcOmllzNr1mw+/PDDnvbMw0BKydNPP008Hueb37wWXwFiwUOha7kvt1AojD/gGWJVUTnhhJPHclijghtqwK47AKdyOk7dAqyJS7Br98epno1T1atWTCjY9QdAEd+sg5r33QTUAJqi40oHPahnFcmmEXhaeNKRGH4fjnRRhILpJpkcmlqI4Q8LRVE4+ZRTaW1roSvS4XmBeg6Ff6nQ2dVB2F/FgXMPJdaZu29WsWB/vCXLIIHnEQHokZ6Qui0EdZP2vXnovlAySkWCYfg455xzaW9vZ8uWLcPef/Pmzaxbt46LL/5XJk+eOuLjGwkawgNr151x/pfZb/+FfOc73+eCCy4aw1GNHm7ZBKxJR2ONOwRr/KHE97+Y5KyzcMsm4AZqcCqnY05cUtShO4D6QAOmk6Qpto2gFqTCqKTSqAbTS6rpqxQuHM8wBfQADg7VvhrGBxsJaIWRthouxx9/Eoqi8tG2D70XdKtXiFKA43mJnV1tNEyqJRgI0bEzTqxr9Ivh9wZp28i2/jVwZeVlCKGwOxbF6pX63dBQWK+9aB7PbNvm3nvv5cEHH6SpqYm6ujqWLVvGl7/85bxy/y+44IIBa37+8z//k/PPPz/z73g8zi9+8QueeOIJWlpamDhxIhdeeCEXXHBBwVKnHcdm4sRJzJ07n48++pDKyspM/6ShiMVibNu2jYULF7F06emjPNK9pyZkUBsy2B3t/+M94ICDuGDp0ShFlLo+IggFGegJRUo9gB0qngZw+aArOrqq41N8+BSDSqMKUS5o3dmCiApEUGTJDGGDsAQNZeMo84VpCIxjSnhaXp1qi4HKyioOPfRw3ln5NgfMWeQpm6eTHSQgJB3R3bTFdnLiwmMz+3XvThAsL0LRYMfJqaOhKCqNjY00NW3DNAwQwmu5Mq6wWYRFY5Suv/56HnjgARYtWsQJJ5zAypUrueWWW1i/fj233HLLkPuvX7+eadOmccYZZ/R7b8GCBZm/O47D8uXLWbFiBcceeyxLly7lhRde4Prrr6epqYlrr712ROeVL2ljuGTJMWzevIkNGzZwyCGHoGmDf0Wu67Jx40YUReHf/m15UdUj9UUIwbyGMDu7kuzsSpCwXHyawrhyHxMq/H9/BunvhJgdRaAwo3wWfi3A9ug2qnxVtLq76Gzv8LLt0hFnF5Q9ChXhSqaVT8evBZgSnkZAC1BWpOnguTjuuBN47bWXadm9g/H1E3veEBIMi+aOjwmEAkyZ2pM16ZguVtJB9xXZ+pJhIAwDmUPW7MILL8ZxHNYi+fOLf+PMMz+9Tx2tR4KiMEorV67kgQceYOnSpdx8880IIZBS8q1vfYtHH32U559/nuOPHziTrKmpiUgkwjnnnMMVV1wx6LmefPJJVqxYwSWXXJIxQMuXL+dLX/oS//u//8vZZ5/NnDlzRnR++aDrBiDQNJXTTz+TX//6f/j444+ZMWNwrbqWlhYikQiHHnok1dXFHQYCzzBNqPAzoeKT1RvpHxnL9UI7mqIxJTyVGl8Nu5OtTB03jXdWv42UEsP2PATpSESHYOaUWdT4axFCENJDhPQQFUZFIaeRF47tYsYd5s06kEAgyLadm7ONEmDbFu1dbSxedEhGqaKYEUKgjhuPvfXj/u8pCnogwKJFh7C4SBRUiuITve+++wC4/PLLM0/6Qgi+8Y1vIITgoYceGnT/9evXA+RlTO677z40TePSSy/NvKbrOl/72teQUvKHP/xhb6exTyiKkilyra9vYPHiw9i2bRtdXQP3n7Esi+bmZqqqqjj00CPGaqgl/sEIqIGs/khhvYyp4emctuhMLv/M17nwxH/m5HNPZeLsSRz1mWM54/SzmDlzNgBVRjXlejnzKoqr42xfXFfSvjNGy6Yu2rdH6WpOcszC02lr6+yXeLSnYzfSdZk3b0HW66ou0IyiuKX2Q5k4CbWuf9hYGAbavP2KKsJSFJ7SW2+9RVVVFbNnz856vaGhgalTp/Lmm28Oun++Rsk0Td577z3mzp1LRUX2U9sBBxxAIBAY8lyjid8fQFEUEok4Rx11LJs2bWDt2rUccsghOTt27tixA9d1OfroE/D7PxmLyCU+eRiqjypfFW3JtqzXNUWjurKGSdpkyqeWc/Bhi3GlxHSSRO0o1b4a5lbMo8pf/On9HTuiJCLZ2Wlz5sznvdWradvTa94C2jp3Ew6XeV1rexGu9hfVzb03Qgi02XNQJjTitu4Cx0GUlaPU1SGKrBtwwY2SaZo0Nzdz4IG5G2M1NjayefNm2traqK7OfXGvX78eIQRvv/023/nOd9i8eTPl5eUsXbqUK6+8krIyr0Hc9u3bsW2byZP7pzx6C3zj9irzbSQxDB+G4aOsrIIlS47lV7+6M2OcexOJRNi4cSPz5s2ntrbO6+BapD+IEp98ppfNJOG8T8zOlsPyqT5mV8wloAVoDE6i0+pEABVGZVEXyvbGSjr9DBJ4iv6KotDV0TNnKVyaO7ayaP/De6I6CoRr/ISqiq8Moy9KOIwSLk5R3DQFN0odHR0AGcPRl/Tr3d3dgxolKSW33HILS5cuZfHixbz55pvcc889vPbaa/z+978nHA7nda7Nmzdj2/aQCQa9UZTRMAaCJUuO4W9/e47169czadIkqqurURSFyspKtm7dSiAQ4Kijjk2dX+b0pkqUGAn8io+DahfSkWyn0+pASkmZUU6NUYOiqJlt/PonK7MQwBkgOUH3BZl/wHw62jqoqq3GH/Lh9wVIJOMsPHouNZPDCAFGQBule8DfL4N9XgU3SnaqoMswcqdSpl9PJnMXp7muS3l5OfPmzeMXv/gFDQ0Nmdf/8z//kwceeIBbb72V6667bljnGo5RqqraOwWGfLjppp9m/v5P//RPo3aeEiXyoY5yYMqQ232SqKkJwwD5RPsdunxsB1Oi8IkO6fRDa4C+HenurIFA7jUTRVF48MEHefTRRzMGKf36tddeSyAQ4IknngDIqBwMdi4hxIDnKlGiRIkSo0vBjVI4HEZRFCKRSM73u7u7gYFDboMRCoWYOnUqra2tJJPJTHLDYOcKBoOlMFiJEiVKFIiC330Nw2DChAk0NTXlfL+pqYnq6moqKytzvt/V1cXKlSvZvHlzzvcTiQSKoqBpGo2Njei6nvNcjuPQ3NzMtGnF20KgRIkSJf7eKbhRAli0aBGtra39DEtLSwtbtmwZMDMPYM2aNZx//vn86Ec/6vferl27aGpqYt68eaiqiqZpHHjggXzwwQf9vKXVq1cTj8dZuHDhyEyqRIkSJUoMm6IwSmeffTYAP/vZz3BdT2NKSslPf+ot8p977rkD7rto0SLq6up44YUXsmqMTNPk//v//j8sy+LCCy/MOpdpmtx6662Z1yzL4uabbwbgs5/97IjNq0SJEiVKDA8hR6rd6T7y9a9/nSeffJIDDjiAww47jHfeeYe33norS3oIyBiT3nJCzz//fEYN4tRTT6WyspJXXnmFTZs2ccYZZ/CTn/wks7/jOFx44YW88847HHnkkcyfP58XX3yRdevWZUkPlShRokSJsadojJJlWfzyl7/kkUceoaWlhQkTJnDWWWfxr//6r1kp3GnVhrSKQ5pVq1Zxxx13sHLlSpLJJNOmTeNzn/scF1xwQb/EhUgkwq233sqf//xnOjo6mDx5Mueffz7nn39+KcmhRIkSJQpI0RilEiVKlChRouQWlChRokSJoqHgig5/j6xZs4YHHniAN954g507d6KqKrNnz+bMM8/k3HPPzVKLGE6bjB/+8IcsW7aMb33rWzzyyCM5twkGg9TW1nL44Ydz+eWXZxUUv/7661x00UV8+tOf5oYbbtj7CQ6TW2+9ldtuu63f65qmEQ6HmT17Nuecc86gihVXXnklH3/8MY899thoDnXY7M3cpJT8/ve/56GHHmLTpk2oqsqcOXO45JJLOOWUU8Zy+EOyt/N77LHHuOeee9i8eXNKDusorrzySiZOnNjvWIVkJK7NtWvXcs4553DmmWeO6e8qH/Zmflu3buXkk08e8JirV6/OCBGMBiWjNIK4rsutt97KnXfeia7rHHPMMRx//PF0d3fz0ksvcf311/OXv/yFX/3qVxkli8svvzzrGNu3b+eRRx5h7ty5nHTSSVnvzZs3L+vfn/70p2lszFYqbm1t5ZVXXuHBBx/kxRdf5OGHHx5QM3CsOfHEE7PmYNs2bW1t/PnPf+aaa67ho48+4utf/3q//e666y6eeuop5s6dO5bDHRbDmdt3v/tdHnroISZNmsRnP/tZTNPk6aef5oorruBb3/oWX/ziFws1jQEZzvxuuukmfv7znzN9+nQ+97nP0dbWxpNPPsnzzz/Pgw8+WJS1gHt7bdq2zb//+79nJMyKleHMb926dQCcfvrpTJ8+vd+xVHWUmxjKEiPG7bffLmfPni0/97nPyebm5qz3ksmk/OY3vylnz54tly9fPuAxXnvtNTl79mx57bXXDrjNtddeK2fPni1fe+21nO8nk0n5xS9+Uc6ePVv+5Cc/GdaxR4NbbrlFzp49W/7xj3/M+f7mzZvlQQcdJOfNmyebmpoyr9u2LX/0ox/J2bNny9mzZ8uzzjprrIacN8Od2zvvvJO5RmKxWGa71tZWefTRR8sFCxbIlpaWsRr+kAx3fps2bZKzZ8+Wn/3sZ6VpmpntXnjhBTl79mx5xRVXjNXQ82Jvr800d955Z+b6HOvfVT7szfzS+6xdu3Ysh5qhtKY0QmzevJk77riD6upqfvWrX2WFzcBTrvjhD39IY2Mjf/nLX9i0adOojcUwDL785S8D8Oqrr47aeUaKqVOncuKJJ+I4Di+99BLghUCXLVvGXXfdxVFHHVXgEe49fef29NNPA3DppZdmaSzW1tZy3nnnYZomr732WqGGO2z6zm/dunWMHz+eSy65BF3vaV1x9NFHU1FRwapVqwo32L0g17WZZtOmTdx+++0ce+yxBRrdvpNrfuvXr0fX9SG7Xo8WpfDdCPHoo49mCnXLy8tzbqPrOt/97ndpb2+nqqpqVMdTU+O1Rk8L2hY7aSOebi/y3HPPsXXrVq666iouueQS9tuvuDuXDkbvuS1ZsoRAIMD+++/fb7t06UMsFuv3XjHTe37nnnsup59+er9tdu/eTVdXV9GtKeVD32sTvFD9t7/9bRobG/nqV7/KihUrCjS6fafv/NavX8+0adOyHirGkpJRGiFefPFFwHsiHIzjjz9+LIaTGU8xr8P0ZuvWrUDPD+T444/n/PPPp7a2tpDDGhF6z23JkiUsWbIk53bPPvssADNnzhyzsY0Efb+73sTjcVavXp1JAEh78J8kcs3vnnvuYdWqVdx7770DtsL5pNB7frFYjG3btnHooYfy/e9/nxUrVrB7925mzJjBF7/4Rc4666xRH0/JKI0Qzc3NAP06xI4ljuPQ1tbGc889xy233IKu65+Im8B7773Hc889h9/v55hjjgFgwYIFBR7VyJBrbrl45JFHeOedd5g9ezYHH3zwGI5w3xhsfn2zuK677jpOPfXUsR7iPpFrftu2beOmm27i3HPPZfHixaxdu7bAo9x7+s5vw4YNSCl5/fXX6ejoYOnSpbS3t/Pcc89x9dVXs2XLFq688spRHVPJKI0QXV1dgNcuY6y46KKLBnxv8uTJfO973ytYXDgXzz77LNu3b8/827ZtNm/ezN/+9rdMFlOxZAoOl32Z2yuvvMJ//Md/oOs6//Vf/1WUqiJ7Mz/btrn44ouJx+M899xz3HDDDUSjUb761a+O9fCHZDjz+853vkN5eTlXX311oYY7bPKd35o1a5g2bRpLlizh29/+duZabGlp4fzzz+eOO+7glFNOGdUITMkojRCVlZW0trbS1dU1ZjfWdEq4lJKWlhaefPJJTNPkmmuu4aKLLsro/RULf/3rX/nrX/+a+beu61RWVrJkyRIuvPDCT3RCw97O7fnnn2f58uXYts2NN944qCJ+Idmb+U2fPp3rrrsO8LQtzz//fG655RaOPvpoDjjggDEbez7kO78HH3yQ1157jTvuuINwOFyo4Q6bfOd39NFH85e//KXf/g0NDXz1q1/l3//933niiSdKRumTwKRJk2htbeXjjz8e1Ch1d3cTj8epr6/f53N++tOf5rDDDsv8+8tf/jIXXHABN9xwA3V1dTkXnAtJuvj375G9mdtDDz3E9773PYQQ3HDDDZx55pmjNLp9Z1+/u6qqKv7t3/6Nq6++mr/+9a9FZ5TymV9LSws33ngjp556KieeeOIYjWxkGInf3vz58wEG7H03UhRfnOATSjrB4eWXXx50uwceeICjjz6am266acTHMGXKFH784x8jpeTaa6/NFMGVKD5+/vOf853vfAdN07jlllsGVQz4JPHhhx/y+OOPk0wm+703YcIEANrb28d6WCPCyy+/THd3N3/5y1+YM2dO5k+69c4jjzzCnDlzstrifNLYunUrr776KvF4vN97iUQCYFTVHKBklEaMM888E13XuffeezMt3PsSj8d56KGHAAbMwNpXjjjiCD7/+c9nwnjFXmn+j8g999zDz372M8LhMHffffcn7ql7MH7zm99w1VVX5Xw4Syv7T548eayHNSLMmzePyy+/vN+fdL+3uXPncvnll3PooYcWeKR7z2233cbFF1+cyd7tzdtvvw2MfhJSySiNEJMmTeLiiy+mvb2dL33pS+zatSvr/e7ubq666iq2bNnC8ccfzyGHHDJqY/nGN77BhAkTWL9+PXffffeonafE8FmzZg0/+tGPMAyDu+++m8WLFxd6SCPKaaedBsAtt9ySebIGL2PtjjvuwOfz8alPfapQw9sn5s2bxxVXXNHvz/nnn5/1fu+Q+ieNdHbk7bffnlUv99FHH/HLX/6SioqKUf/+SmtKI8jXv/519uzZw8MPP8yJJ57Icccdx+TJk2lpaeHll1+mra2Ngw8+mBtvvHFUxxEMBvnud7/LZZddxu23385pp53GpEmTMu+/+OKLfOELX8i578EHH5xT46vEyHDrrbdi2zbz58/nhRde4IUXXui3zdFHH81BBx009oMbAZYsWcKyZct4+OGHOeOMMzjhhBPo7u7m6aefJpFIcMMNNzBu3LhCD7PEAJxwwgl86lOf4v/+7//41Kc+xQknnEBXVxfPPPNMpmN3ZWXlqI6hZJRGEFVV+eEPf8gZZ5zB/fffz7p161ixYgWapjFnzhyWL1/OZz/72dEXNMS7uJYuXcpTTz3F9773vSyPaffu3ezevTvnfmVlZaM+tn9k0iGQNWvWsGbNmpzblJWVfWKNEsAPfvADFixYwP3338/vf/97/H4/ixcv5itf+QqLFi0q9PBKDMF///d/c+CBB/LQQw9x//33EwgEOPTQQ/nqV786JgkqpSZ/JUqUKFGiaCitKZUoUaJEiaKhZJRKlChRokTRUDJKJUqUKFGiaCgZpRIlSpQoUTSUjFKJEiVKlCgaSkapRIkSJUoUDSWjVKLE3wnFVt1RbOMp8cmgZJRKlBglXn/99Szhzt5/FixYwOGHH84XvvAFHnjgARzH2evzOI7Dfffdxw9/+MOs12+99VbmzJnDHXfcsa9TGRZbtmzhX/7lX7L695QokS8lRYcSJUaZYDDYT3TVtm3a2tp4++23eeONN3j55Ze55ZZb9ur4Tz75JNdffz2f/vSnR2K4+8xXvvIVtmzZUuhhlPiEUjJKJUqMMlVVVfz4xz/O+d7atWv5/Oc/z1NPPcUzzzyT1T48X1zXzfn6hRdeyOmnnz7m3XwHGk+JEvlQCt+VKFFA5s2bx+c+9zkAnn766RE9dnV1NTNmzKCqqmpEj1uixGhSMkolShSYiRMnAtDW1pZ5bdOmTXznO9/h5JNP5sADD+TAAw/k1FNP5cYbb6Srqyuz3Re+8AWuueYaoH+TucHWlB5//HEuuOACDj74YA466CDOOeccHnrooX7JCQ8//DBz5szh3nvv5a233uLiiy9m0aJFLFy4kIsvvpg333wzs216DW3r1q0AnHjiicyZM2eEPqUS/yiUjFKJEgVm48aNAIwfPx6AN954g2XLlvHQQw9RUVHBscceywEHHEBTUxN33XUXX/ziFzMhsiOPPJKFCxcCXk+vM888c0hD8O1vf5urrrqKtWvXsv/++3P44YezefNmvvOd73D11VfnzJp76aWXuOiii2hqauKII45g/PjxvPrqq3zxi19k1apVANTW1nLmmWcSDAYBOOmkk4q6xXuJ4qS0plSiRAF54403Mt2IzzjjDACuv/56EokEt99+OyeddFJm261bt3LOOefw/vvv884777Bo0SIuu+wyJkyYwDvvvMPixYu54YYbBj3fQw89xB/+8AfmzZvHnXfemTGEbW1tXHrppTz++OMccsghmW6qaZ5//nkuvfRSrrzySlRVRUrJtddey2OPPcZvfvMbDjroIGbMmMGPf/xjTj75ZLZu3cp1112X8QJLlMiXklEqUWKUaW9v56qrrsp6zTRNtmzZkmkR/vnPf54jjjiCSCTCggULWLhwYZZBAq+N+OGHH85TTz3Fzp0792osd911FwA33/e59AAAA2lJREFU3HBDxiCBt/70//7f/+NTn/oUd999dz+jNH78eJYvX46ieMEVIQQXXHABjz32WMbTK1FiJCgZpRIlRplYLMbjjz+e9ZphGFRXV3P88cezbNkyTjnlFADC4XA/b0dKyY4dO/jggw/Ytm0bAJZlDXscu3btYvPmzVRWVjJ37tx+78+aNYuGhga2bNlCa2srdXV1mff233//jEFKU1tbm5lfiRIjRckolSgxyjQ2NvLcc88Na58333yTBx98kA8++ICtW7dimibgeSiwd2oJzc3NAHR0dAy57rRz584so5SrI7GmaXs9lhIlBqJklEqUKDK+973vcf/996OqKvPmzePMM89k1qxZLFy4kAceeICHH354r46bVo2oqanhyCOPHHTbUCiU9e+0MSxRYrQpGaUSJYqIN954g/vvv5+JEydy1113MXXq1Kz302tCe0Pa8wmFQgMW85YoUWhKKeElShQR7777LgCnn356P4MUj8dZuXIlkK2akK8XM3HiRMaPH09TUxObNm3q9/6ePXtYunQpF198MdFodC9nUPKqSuwbJaNUokQRkc6Ie/nll0kmk5nXu7u7ueqqq9i9ezdA1ns+ny+zzVD88z//M67rcvXVV7Njx47M6/F4nOuuu44tW7YQCoX6he+GQ3o8kUhkr49R4h+XUviuRIki4vjjj2fy5MmsWbOGk046iQMPPDDjIcViMWbOnMnGjRszxglgypQpADz33HNceumlHH/88f1SutP88z//M++88w5PPfUUp59+Ovvvvz/hcJhVq1bR1tbG1KlT+f73v79Pc5gyZQobNmzgyiuvZO7cufzgBz8gHA7v0zFL/ONQ8pRKlCgiQqEQv/3tb/n0pz+Npmn87W9/Y82aNRx88MH86le/4r//+78Br5g1zdy5c/nmN79JTU0NL7/8cibElwtFUbjpppv4wQ9+wLx581izZg2vvfYatbW1XHbZZTz44IOZVO+95ZprrmHRokU0Nzfz2muv0dTUtE/HK/GPhZClfM4SJUqUKFEklDylEiVKlChRNJSMUokSJUqUKBpKRqlEiRIlShQNJaNUokSJEiWKhpJRKlGiRIkSRUPJKJUoUaJEiaKhZJRKlChRokTRUDJKJUqUKFGiaCgZpRIlSpQoUTSUjFKJEiVKlCga/n8HN9KQdL9bcAAAAABJRU5ErkJggg==\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize=20\n",
    "\n",
    "fig, ax = plot_violins(df_lympho, 'patient_label', 'emodulus',\n",
    "                       order=patient_labels,\n",
    "                       pal='chac_paper_custom',\n",
    "                       fontsize_labels=fontsize,\n",
    "                       stripplot=True, saturation=.25)\n",
    "ax.set_xlabel(\"Patient\", fontsize=fontsize+2)\n",
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    "ax.set_ylabel(\"Young's modulus [kPa]\", fontsize=fontsize+2)\n",
    "ax.set_ylim(0.5,2.5)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "outputs": [],
   "source": [
    "save_name = \"fig1H_WBC_lympho_baseline_emod\"\n",
    "savepath = os.path.join(savefolder, save_name)\n",
    "fig.tight_layout()\n",
    "fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Statistical tests"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "p-Value (Likelihood Ratio Test): 0.0185838785945076\n",
      "Estimate: 0.780505628348731\n",
      "Std. Error (Estimate): 0.383621185643171\n",
      "Fixed Effect: 0.24246450604623\n",
      "Std. Error (Fixed Effect) 0.386715491450513\n"
   "source": [
    "para = 'emodulus'\n",
    "\n",
    "Result = linmixmod(xs=df_lympho[para], treatment=df_lympho['treatment'],\n",
    "                   #df_rbc['repeat'] begins at 0, but 0 values are excluded from the computation\n",
    "                   timeunit=df_lympho['repeat']+1, model='lmm')\n",
    "\n",
    "print(\"p-Value (Likelihood Ratio Test):\", Result[\"p-Value (Likelihood Ratio Test)\"])\n",
    "print(\"Estimate:\", Result[\"Estimate\"])\n",
    "print(\"Std. Error (Estimate):\", Result[\"Std. Error (Estimate)\"])\n",
    "print(\"Fixed Effect:\", Result[\"Fixed Effect\"])\n",
    "print(\"Std. Error (Fixed Effect)\", Result[\"Std. Error (Fixed Effect)\"])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "```\n",
    "p-Value (Likelihood Ratio Test): 0.0185838785945788\n",
    "Estimate: 0.780505628348649\n",
    "Std. Error (Estimate): 0.383553673273846\n",
    "Fixed Effect: 0.242465466362725\n",
    "Std. Error (Fixed Effect) 0.38665144907393\n",
    "```"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Create dataframe for myelocytes"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "outputs": [],
   "source": [
    "myelo_folder = r\"data\\RTfDC\\WBC\\Analysis-ShapeOut\\data_export_myelos\"\n",
    "CTRL_file = \"SO2-export_0_20170803_CTRL_WBCs.rtdc\"\n",
    "VS_file = \"SO2-export_1_20170627_VS_WBC.rtdc\"\n",
    "VL_file = \"SO2-export_2_20170711_VL_WBC.rtdc\"\n",
    "RS_file = \"SO2-export_3_20170809_RS_WBC.rtdc\"\n",
    "LM_file = \"SO2-export_4_20170907_LM_0w_WBC.rtdc\"\n",
    "KM_file = \"SO2-export_5_20170829_KM_WBC.rtdc\"\n",
    "\n",
    "myelo_files = [CTRL_file, VS_file, VL_file, RS_file, KM_file, LM_file]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "outputs": [],
   "source": [
    "df_myelo = pd.DataFrame()\n",
    "\n",
    "for index, file in enumerate(myelo_files):\n",
    "\n",
    "    ds = dclab.new_dataset(os.path.join(myelo_folder,file))\n",
    "    df = pd.DataFrame()\n",
    "\n",
    "    for feat in ds.features:\n",
    "        if feat in dclab.definitions.scalar_feature_names:\n",
    "            df[feat] = ds[feat]\n",
    "\n",
    "    df['patient'] = file.split(\"_\")[3]\n",
    "\n",
    "    if \"CTRL\" in file:\n",
    "        df['treatment'] = 'Control'\n",
    "    else:\n",
    "        df['treatment'] = 'Treatment'\n",
    "\n",
    "    df['repeat'] = index\n",
    "\n",
    "    df_myelo = df_myelo.append(df, ignore_index=True)\n",
    "\n",
    "df_myelo['patient_label'] = np.nan\n",
    "\n",
    "patients = ['CTRL', 'VS', 'VL', 'RS', 'LM', 'KM']\n",
    "patient_labels = ['CTRL', 'P1', 'P2', 'P3', 'P4', 'P5']\n",
    "for patient, patient_label in zip(patients, patient_labels):\n",
    "    ind = df_myelo['patient'] == patient\n",
    "    df_myelo['patient_label'][ind] = patient_label"
   ],
   "metadata": {