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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": 2,
   "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",
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   "execution_count": 3,
   "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",
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   "execution_count": 4,
   "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",
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   "execution_count": 5,
   "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",
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    "def asymptotic_exponential_growth(x, lambda_):\n",
    "    \"\"\"(Inverted) exponential growth function with maximum at 1 for x->infinity:\n",
    "    f(x) = 1 - exp(-lambda * x)\"\"\"\n",
    "    return 1 - np.exp(-lambda_ * x)\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",
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   "execution_count": 12,
   "outputs": [
    {
     "data": {
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      "text/plain": "<Figure size 432x720 with 2 Axes>",
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      "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",
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    "    # velocity range to plot for the fitted data\n",
    "    # v_fit_plot = np.linspace(0, v_max, 100)\n",
    "    #fit the control data\n",
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    "    # fit_bounds=(0, 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",
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    "    # popt_ctrl, pcov_ctrl = curve_fit(asymptotic_exponential_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",
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    "        plt.errorbar(v_ctrl, probs_ctrl, probs_ctrl_err,\n",
    "                     color=color_ctrl, lw=lw, alpha=alpha_ctrl, label='CTRL', zorder=1)\n",
    "        # plt.plot(v_fit_plot, asymptotic_exponential_growth(v_fit_plot, *popt_ctrl),\n",
    "        #          '--', 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",
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    "        # 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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TB0ZYdMqpQRIkQUKriENXV2c4hsU5ZrMJxGTeFQnAZAx/5YmAggu+8pWvcHZggiDw6quv+r19a2srXnjhBdx5550oLS31uR1FUUhPT8e///u/44YbbnC/X1ZWhnvvvRff+c538Mknn8yIdpuN+HiN39uyg8njcSIxURuiYwYfu31yhuURXACahkRiR2JiTNjGxSUkSUFKAi0GOWSScUH9fsMjg64n1uQ8waFyYGx8JOLPsaLClcOjU8yMztPKE9DT0xXx5wgAdptlyhqP1WoO+3kFJDynTp0CQRCcZC0HEqZI0zSeeOIJxMfH4z//8z9n3fbAgQM4cODAjPfXrFmDPXv24N1330VZWRk2b97s9/GHhw0h6QpqtbrWCex2OwYHhRE1BAAdHT0AiCkWDwA0NrYDUIZvYBwyOjoBmgZGbVJIR8cF8/tRFIWhwSHQEtrdOoBW0+ju7on4c6ypaQBJSKBRxM74TKdMQE1/Lbq6BqFQRPY1OjY67nZtkTRgMBiD/tuRJDHrhD3gcOoNGzb4XF/xl4MHD+L06dN+b//mm2+ioqICL7/8MqKiouZ93EWLFuHdd99FVxc/fbeMq40PjZq4ZHh4CFB6XISTwiMEdw2Dy9VGAyBACciFODY26roePTzblIbCaMcInE4nJBKJ7y/znI6OduiU8VOSRxmilYmgaRpdXZ3IyysIw+i4w2Qyelg8NEwWc9hzlAIWnvj4eKxZs4bVQQ8fPhzQ9h988AEA4Otf/7rXz++++24AwCeffILx8XGYTCasXr16xnaMHz4QN1soYarGOp1OUBQFkoyoJTifDA8PwSHTAE7X+dGTN7qQCjGaTCaQBOCkAYqmw35jc8XAQL/rHx6XIq2hQVEUhoeHkJSUHJ6BcUBHext0iiSvn0VPvt/e3iYI4SFpGiBczR+cTldbEqUyfJZcQMJz9913Y+nSpawPunnzZsTGzjRvfXHTTTd5Fbvjx4+jqqoKN910E9LT06HT6bBv3z709/fj5MmTiIubGiZZUVEBAFiyZAm7EwgSnn0y7HY7bwUyUAYGB+GQRUHiHHO9QRAAKcHQkJCExwgJaNgn55Y2mzXiXTQArpSO8RAeSkNNftYbscJjNBowNDyIpSmLvX6uUcRCQkrR0dEe4pFxi9PphNlqBbOiw/yMRqMhcoTn8ccf5+SgN9xww5SF/7m4+eabvb4/MTHhFp61a9cCAK677jr89re/xS9/+Us89dRT7lnn+++/jyNHjmD16tW8TS612+0gSRIURcFutwlCeGiaxvDwEJzxiyGxjF15X6EVVAVgk1EPwiPyy2g0CkJ4enu7AeJK/g4A0DrXv/v6elFSsjxMI2NHW1sbACBW6b2EFkmQiFYmobW1OYSj4h6msrhnODXgqrUXzpJHfgmP3W7H+Pg44uPjvboPDAYDamtrvbq3Qs2DDz6IY8eO4dChQ6ivr8fKlSvR2tqKI0eOIDExET/84Q/DPUSv0DQNu92OqKgoGI1GXjRr4gK9fgJ2mxVOxdQoGptMi4FB4VQANugnIPG4NQwGA+Li4n1/IULo7e0BtIRnRwvQahqElIjoPJe2thYAQIzKt8UWo0xGa0tDRLtNmWKu7uAC9/vhDQyZdRGBpmn89Kc/xerVq7F582asX78eL7300oz8i+bmZvc6S7jR6XR4++23cc8992BwcBBvvPEGqqurceutt+LPf/4zMjMzwz1ErzCZ74z5K5R6XwMDLnGhpgkPpdCiv78/HEMKCgaDEeQU4YnsiC+Gru5OODTTJkEEQGkp9PRErvA0NzdCJdNAKfUdeRWrSoHRZLyyzhWBMA0XPaPaPN8PF7NaPG+//TZ+97vfYd++fSguLsa5c+fw/PPP49ixY/jVr36F6OjoUI3TK0888QSeeOKJGe/rdDo8/vjjnLkGQwGT+c4Ij1DqfQ0MuNYInIqp14pTGY2JwRpYrdaIdyk6HA6YLBbEyq+4o4RQRJOiXOJC59EgzFNn/E6dEx1dkbv+0dBQj1hV2qyWTJwqDQDQ1NSA5GT+VrWfDeY6ZASHBD3l/XAxq8Xzhz/8Afv378e3v/1tfPGLX8TTTz+NP/zhD+jp6cFdd90lqJ4V4YaxcNRq9eRrYWS/M7NFp0I35X1GiAYF4G5zzyo9nmFCaHQ3NDQIu80OKnpmY0Iq2pXfE4mWudFoQG9vN+LVabNuF6NKgoSUoqGhPkQj4x7mOmQEh3ngh9vimVV4Ojs73Yv2DEuXLsWhQ4cglUpx++23o7GxMagD/LzAVIxlhIcPFWS5oLe3B5CrQEunWjVOpUt4+vp6wzEsTmGKoEo8gguEUL25s7MDAHwKD2g6It1tdXU1AIB4dcas25GEBHGqNNTWXg7FsIIC00vJM7hAThBhb8Q4q/BER0d7DXlNTEzE73//e2RmZmLfvn3uMGWR+cNYOEITnp7eHtgVMTPedyhd7/X2Rn4F4LGxMQBXhIeAMDqszio8MdSUbSKJy5erQRISxKvT59w2MSoLra3NMJvDX1hzPkxMjEOKKbEh0NDht8hnFZ7Fixfj448/9vqZRqPBb37zG5SWluInP/lJUAb3ecJsdpUq12hci518KF3OBd093XB4ER5aqgRkSpdFFOEwLQKYqDYpSQuienNnZzuIKALwsgRH62iARETmuVyuvoQ4dRqkpGzObROjskBRlNtKijTGxkahnbaOpaWc7slSuJhVeHbv3o3u7u4p/Tg8kcvl+L//+z/cdtttSE1NDcoAPy8wwsO0bmBeRzJmswnjoyNwqLwkCxMEHMpY3pYvCgRGZKSTFo8EtKuVQITT2tYCu85HWD8J0NGuzP5IwmDQo7mlEUlR2X5tnxCVAZKU4OLFyuAOLEiMjY1COy0KWeukMD4a3nJVs0a17dq1C7t27Zp1BxKJBE899RSng/o8wpjyTIhxpJr2nnR3u9xoTlWc18/tylh0CqD0/OjoKFTSK8EFEpLGaISXA3I4HOjq6gC1cKabjcEZ7UBLW1MIR8WeS5cugqZppGgX+LW9lJQjQZ2JCxfO4557gjy4IDA2MgwtRWHUw+rR0jQ6wmyRC6MYmAAwmYzTXke+8DD9TBw+hMehisXE+Kg7uzpSGRkZQrzyyqxSSgAjoyOcVHEPFz09XXA6nKBifQsPFUdhbGQ07KG5gVBVdR4yicKv9R2GFM0CdHa2R2RR25GREURPq6wfTVOYMBjCWoxYFB6e4Ck0BEEIQng6O9sBgnRHsE3HoY6f3C7yFqg9GR4aRIL8SlixlKBhszsiOom0ra0VAGYXnsnPmCoAfIemaVScK0dSVI7XitS+SNHmAQAuXIisICq73Q690YBoeupvGD05IQrnOmTA1amn84c//AGHDh1Ce3v7nEmP1dXVbA8nWIweXQFdwhP+LoFs6ehoh1MdB5Deb3KHKt69XVHRolAOjVOGBvuxQuXAhM11npLJbL3BwUFotbrZvspbWlqaAQkBOtq31eaMdVl5ra3NWLp0WaiGNm86OtoxMjqM1RnrAvpejDIJarkO58+XY8eOnUEaHfcwFlr0NMubsYCGh4eQmOi9OnewYSU8hw4dwlNPPRXRLgW+YDQa3AVCSZKMePcTALS1t8Ku9O5mAwBKoQMkcnR0tIVuUBxjt9sxMjaOlFgHWvSu8C8ZwQhPPxYsyAvn8OZNc0sjqFjn7D4RlasNdktLZBTSrKgoAwCkavMD+h5BEEjR5KGy8gLsdjtksrmj4fgAU4Q3dpqrLZa+IjzhgpXwvPHGGyBJEv/93/+Na6+9FjpdZM7u+IDRaHSX7yAIwl3cL1IxGPQYGR6CPavQ90YEAbs6Hq2Tbp1IhKm8kKy6Ev0lnbR4IrUWHUVRaGlpgjNz7oZ29lg7GpoiI7O/oqIccepUqGSBt31O0xagZeQC6upqIsK6A64ITww11dUWO/l6cDB81eFZrfF0dnZi3bp12Lt3ryg6LDEY9FOEJ5IWbL3BhNk61LOXXrerE9DW1hqxVjNTeSFFdWWhliSAKBnQ3x+ZVRl6erpgMVtAJfhe32GgEij09/byfj1Lr59AfX0tUjWBWTsMydocSEgpzp0r43hkwYOZFMVOu7eUAFQEEdZyVayEJzk5OWIfGHxjYmLC3XGUJMmw11JiS0uLK8zWETW7D9kRlQSL2YT+/sis+8eUjMlQX1nfJACkq2wR2zaAqU3mTJjb4mG2aWrid+msCxcqQNM0UnXzEx4pKUdiVDbKy89yPLLgMTDQDx1BeHYtdxNHUe4CvuGAlfDccsstOH/+PFpaIiOqhc/o9VOFx2DQR7SoNzU1glZoQcmjZt3Orkme3L4hFMPinO7ubkTJAJ1sqnWQrraipysyo/UaG+tByAl3w7fZoOJd593QUBfsYbHi3LkyKGVR7orT8yFNW4D+/l709ERGmaf+vl7EObxPHuIdTvSHsWoIqzWer33ta6itrcUdd9yBe+65B0VFRYiJifG5/YoVK9gcTtDo9XpIJC7hIQjC1bLWbHbXbos06hvqYZ3D2gEmI9tIKRobG7Bp09YQjIxburs6kKm2Ynp1/Uy1DZ/1jcJsNkGliqzfsKa2Go4Ex9QCX76QA3QseF1Sxul04sKFCqRo8lg1dEvT5eN8jytIIS3tJg5HGBz6e3uQRfkQHppC7eCAO5gp1LASHrvdDoqiMD4+jueff37WbQmCQE0Nfy/OcGKxWGCzWREV5bIOmAthYmI8IoVndHQEgwN9sGdvnntjUgK7Jhk1EVgBmKZptLe3YFP0zNYAORqX662jox2FhcWhHtq8MRj06OrshHPZ3G42BkeiHXV1NXA6nZBI/M+PCRV1dbUwmYxISyhgtZ8oeQyilYk4d64Me/bwW3hsNhuGRkawkvK+TpdAUbA7HGELqWYlPD/5yU/wwQcfgCAI5OXlITbWS00ukTlx98zwcLUx76ekRF4NvJoal4jYtP5lh1u16WhtPRdx1sHIyDAMRhNy02cKT+6k8LS3t0WU8NTV1QIAnEn+C48zyQlrgxVtbS3Iy2P3cA8G58+XgyRIJGtzWe8rVZuP2toymEwmXk8KBwb6QINGIuXdXcq839fXG3nC88EHH0Cr1eKNN95AUVERV2P63MFUN54uPMz7kcblyxcBiQyOqES/trfr0kF3l6G2tgYrVqwK8ui4g8nuZ6wbT5KUDqilkZPVz+D67QAqce6INgYqmZr8bjUvhafiXDkSorIglyhZ7ytVm4+6wdO4ePEC1q3byMHoggOzDpXgw+JJnHy/u7srLOHhrJx7BoMBq1evFkWHJUz17+nC46sqOJ+haRrnKs7Bqsv0WbFgOjZtOkBKI64kCRO5l6edafEQBJCnsaClmd/RXtO5eKnSFakWgMeMVtOADqi+fDF4A5sng4MD6OxqR6qWm0TehKgMyKVKVFSUc7K/YMHUSUz2ITwxNA05QYQt8pKV8OTn54c1CUkoMDWTPIWHIIiI7OnS3d2F4aEBWGNy/P+SRAqrLgPneH4zT6elpQnpUU6opd7dGfk6C9raWsNajDEQDAY92tpa4Uz2383GYE+24/Lli3A6A/9uMGEEIk3LjSVGEhIkRy1ARUU5KB8PdT7Q3d2FaIKALxuPAJDspNDdHZ7q8KyE5+tf/zouXbqEv/zlL1yN53PJ6OgICIJwCw9BEIiKigprSYv5wiTYWWNzAvqeNSYHA/297plaJNDcVI98je9irgVaK+wOh6tYagRw6dJFgAacqYGLhzPFCYvZgmaeWXjnzpVBo4iFVhHP2T5TdfkYHx/jdamgzo52JNlnn/AkOx3oClM/JVZrPGq1Glu3bsXjjz+Ot956C8uWLUNMTAykUu+7PXDgAJvDCZahoUFotdopoZ5ardZr23G+c+r0CTg0ya46bAFgjcsH2o7gzJmTuPXWLwVpdNwxMjKM4ZFRFBbMdLMxFOpc7csbGxuQm8v/mm0XL1aCkBF+VSyYjjPF6d7HwoX8cL1bLBZUV1chR7ecVRj1dFxuOwLnzp1Ffj7/1rQoikJXVwfW+gilZkihKJwbG4XRaHRH1IYK1nk8BEGApmlcunQJly5dAoAZPzJN0yAIQhQeHwwODkCr1cJuv1LvS6fTYWgofCUt5sPw8BCamxpgztoQ8HcphQYObSpOnToREcLT2OjK7i+KtvjcJkXlgE5Oo7GxHjt3zt5QMdzQNI0LledgT7bPzw+iBOh4GhcqK3jz+1VVuYp6pusWcrpfpTQKCVEZKC87gy99aR+n++aCwcEBWG02pM7hCkxxuj7v6uoIeeQlK+H5xje+welM4vPKwEA/EhLiMTx8pdGUVqtFS0uLW7QjgZMnjwMArHHzmwWa4wrQ3n4MPT3dSEvzv1FXOGhoqIOUBBZ4iWhjIAigUGtCQx3/c5R6e3swODAA55r5r9HYU+2or6kLywzaG+XlZyCXKpGoyeJ83+nahahq/wQDAwNISgpPawFfMNXeGWHxBSNM4Qj5ZyU8Dz30EFfj+NzimEziys/PmyI8sbGxsNvtGB0dQVwcd/7pYHLs+BE4NMlwquaXz2WJXwht+3GcOHEUt912J7eD45j6uhrka62QS2YvK1McbUF5Sw8MBj00msCrIoeKykpXRKEzbf7C40xzgq6mcPFiJdavD2+osdPpRHnZWaRo8gJq+uYv6dGFqOr7BGVlp7F79xc53z8b2tpaQQBIm8PiiaNpKAkC7e2hrw4vdiANM4OTZSumlxqKjnZ17WSqH/Odnp5utLY0wRw/SxuEOaAUGth16Th2/Civ69TZ7XY0NzeiONo857bF0cw6D79bB5w/fw6IBmjt/P/uVCIFQk7g/PnwRydWV1+EwahHZnRwZvJaRRxiVEk4ffpEUPbPhvb2ViQAUMyxHQEgzeFAW2vogyRYWTzFxf7/qGLJHO/09bkK9U0XHqYKRG9vDxYtWhLqYQXMiRNHARCwxLNbbDUnLERvy6doa2vh7YJ8a2szbHaHW1RmY6HOCpJwVXMoLeVncqzFYsGlS1WwF9jn3ng2SJe77VxFWdhqgDGcOXMSUonc3bY6GGToinC5/jhGRoZ55ZVobW5C2hwRbQxpTifOtbaG/PdidaTU1FSv/8XHx0Mul4OmadA0jfj4eGzZsoWrMQsKJnw4Pn7qhRsdHQ2JRBIRpfVpmsax40dh16WDUrBzJ1niCgCCxPHjRzkaHfdcvuwKolkSM7fwqKQ08rU21NZcCvaw5s2lS5VwOBxwpLPPN3JmODExPh7WUGOn04nTp08iVZMHKRm8bqEZ0cWgaRpnzpwM2jECxWg0om+gHxlzRLQxZDgpWGzWkHtWWFk8n3766ayft7a24n//939x5swZ3HjjjWwOJVi6ujqhUqlm1H0iSRJxcXHoioDS+u3trejt6YI59yrW+6JlKlijs3D8xFF8+cv38TKwoqamGhlRDsTI/bu5l8aY8NemBlitVigUczlAQs+5c2Ug5ASoJPYJkY40BxSEAuXlZ8IWalxdfRF6/QRKsncG9TjRykTEqJJw4sQxXH/9DUE9lr8wJZoy5ggsYMiYXAdqbW0OaUBPUG2r3NxcvPjii4iLi8P//d//BfNQEUtnZ8cMa4chLi4OnZ38F56TJ48DBAlL/PyabE3HkrAQI8NDvFwXcTgcqK25hKUxRr+/syTWDIfDycueNRRF4Wz5adhT7QGVyfGJ0rXWU3buDAc7mx8nTx6DLMhuNoYMXTHq62vdbabDDZPAm+FnVYVUioIUoW/kF3Snnlwux/Lly9HeHhnZ26HEVVa/DYmJ3otpJiYmYmCgH2bz3IvY4YKmaZw4eRw2XQZoGTfVeq2xCwBSglOn+Ldw29TUALPFitJY/3+TpTFmSAhXXgnfaGpqgH58Ao5M7sr6ODIc6GhrC0trZbvdjjOnTyJNuzCobjaGrJjFAIBTp44H/Vj+0NTUiFgQ0PoZnCMBkE5RaA5xI8aQrCa1trYiNTXyyvsHm8HBAVgs5lmFBwCvS660t7dioL+XM2sHAGipEtboLJw8dZx30W1VVRdAAFgW57/wqKU0iqItuFjFvyKoZWVnAIJdGPV0GBErLw+91VNZeR5GkxFZMaEJyNEq4hCnTsPxY/xYk2xqqEOmPbAgkUyHAy3NjSGtPRdU4bFarfj+97+P5uZm3HfffcE8VETSOhnG6CsBjXmfzzWhysrOACBgjeXWrWGJy8fI8BBaW/nVVuDC+XIURNuglQV2k5bGmdDS2oLx8bHgDGyenDl70lUUlMOlJ1pHA9HA2bLT3O3UT44fPwKFVI0UP3vvWOwGVPV+ggmrqzyV2a6HxW4I6JhZ0YvR0toU9pbYev0E+gcHfHYd9UWWk4LZag1pIBOr4IKvfOUrM96jaRoOhwPj4+Po7OyExWKBUqnEhx9+iA8//NC9HUEQePXVV9kcPuJpbm4CSZI+LR6dTgeVSuUuv89HTp85BbsuFZSc20x1a2wuQBA4e/YUFizgR1j12NgompobcVduYA8mAFibYMTvW+JQUVGOq666JgijC5yenm709vTAsZr76tm2DBsuX64OaeKs1WpBeflZZOoW+5U0anOY8Unz72CwXWk/YnWa8Enz67im4Ct+9+/JjClGZe/HOHnyGPbuvWPe42dLQ4NrTTTbz8AChuxJoWpoqENmJvdVHrzBSnhOnTrl13Zms3nGtlxEK/34xz/Gb37zG7z++utYu3btlM/effddvPbaa2hra4NOp8OuXbvw8MMP86KUB0NzcxPi4xMgk3n3RRMEgZSUlJAv/PlLf38fOtpbYfGnxXWA0DI17Np0nDlzCnfc8WXO9z8fzp8/B5p2iUigLNDYEK+kcO5cGW+Ex2WtukKgucaZ6QR9mUJFRTm2bmUf7egP58+fg81mRWbMIr+2v9R/dIroMBhsI6juO4oV6df6tR+1TIfEqEycPHE8rMLT2FgPAkBWgK0pEikaKoJAY2M9duwIbiQgAyvhef3117kaR8BcvHgRv/vd77x+9tJLL+EXv/gFCgsLsW/fPjQ0NOC1115DVVUVXn/9dcjl8hCPdiY0TaOpqQG5uTmzbpeSkoKzZ8/CarVAoWDfQZFLGB++NS44FokldgG62o+hr6+XFy3Ay8pOI1FFzVqfzRcEAayN1+PTynO8Cas+W3YSdBwNWsP9OhqVQIFQEygrOxMy4Tl58jiUsigkRvk3ax80+l47HTC2BXTszOhinO/6AJ2dHSGzGqbT0FCHVJoO2GtKAsi229FQF7oEf1bCs2bNGq7GERA2mw2PP/6416ZT3d3deO6551BaWoo33njDbU08++yz+NWvfoVDhw5h377wV5Tt6+uFwaBHWlrarNulpqaCoig0NzfxroLB2bIzcEYlwKmMCcr+rXF50LYfQ1nZGdxww01BOYa/mM0mVF6owBdSJzBfY31jkhH/7I5GZeV5rF27ntsBBsjY2CgaGuphX8qyWoEvCMCWbsP5C+dgs9mCPtmz2Ww4X1GODO1ikIR/S9cm28S8PvNGRnQRzvd8gLNnT4VFeJxOJxrqa1HqZ8WC6eQ4nfigswMmk2lGTmEwCCi44O6778ZLL73E+qAHDx7EPffcw+r7bW1t2LBhZvn9Q4cOweFwYP/+/VNcWAcOHIBGo8Hhw4fnfVwuqa935XTMJTzM54z/li9MTIyjtqYa5pgFQTuGUxkNZ1Qizp71z6UbTCoqymF3OLAxKXA3G8PSGDN0chpneFDf69y5MlfTt8zgdQx1Zjphs1pRXR38ltiXLlXCarMiPXr+tQLZoJJpEa9Od7svQ01XVyfMFgty59kBNtdJgQZClmsWkPCUlZWhuZl9hFVzczPKysrm9d26ujq8/PLL2L9/P/LzZ4bwlpe7ChROt8YUCgWWL1+Ouro66PX6eR2bS+rrayGXK3wmjzKo1WrExsaivp5fde7Kys6ApmlYOQyj9oY5Ng919bVhbwN+8uQxxCkov+qz+UJKAusS9CgrOw2r1XcDuVBQVnYa0ABUbPBCaJ0pThAyIiRh1WVlZyCTKJAUlR30Y/kiTbcQzc2NYekcXDfpJsuZp/BkO50gPPYTbAJ2tTU2NuLgwYOsDtrYOL/FcqfTiSeeeALZ2dnYv38/fvrTn87YpqOjAwkJCV6DCNLTXSUhWltbUVJSMq8xcEVNTTXS09P8KsyXnp6O2trLvOrNc+bMSdDKaDjU3iPyuMIalw9N1xmUlZ3BtddeH9Rj+cJoNOD8+XLsTp0AyfLPvzXZgA97dDh/vhzr12/iZoABYrFYUHXxAux5dleJ4mAhcRUNPXP2FO6//8GgFaGkaRrnK84hWZMLCclq9YAVadoCXOr7DJWV50O2SM9QW3sZOhBImGfemxJAOkWjtqaa24H5IOBfqba2FnV17Myx+T5AX331VdTU1OCtt97y6TMeGxtDRkaG18+0WldYp8EQeDgsl+j1E+jq6sDmzf5Fg2VkZKC6uhrd3Z3IyAjPwqUner0eVVWVMCUvx7wXPPzEoY4HpYrFyZPHwyY8Z8+ehsPhxNZk9tdNSawZMQoax48fCZvwVFZWwGF3wJHBfRj1dByZDkx0jKOpqSFoLbF7eroxMjqM3PTwrDkzRCsToZJrcPFiZUiFh6Zp1FRfxAK7jdU8YoHDjjMNdbDb7T4jbbkiIOH5t3/7t2CNY05aW1vxwgsv4M4770RpaanP7RwOh09RYt4P1M0RH68JaPu5qKurBACfAjmdzMxMAEBHRxNKSxdzOpb5cPbsUVCUE5YEblsKe4UgYIpbiJqaMpCkbU7XZDA4c+YYUtROLNSxd49JCGBL4jjeP18OlYqARsPtteUPFy9WgFAQoJKDn6nuTHcCBFBdfR4bN64OyjGOH68FAKRogrfe6A8EQSBJnYNLFyuRkKAJmXeip6cHw6Mj2Bpg/s508pxOHLPbMTLSgyVLghvIFBHCQ9M0nnjiCcTHx+M///M/Z91WqVTC7qNkhM3mCoNVqVQBHX942ACK4i7k9OTJs5DJZHMGFjDExMRAq9Xh9OkybNgQmtDU2Xj//Q9dbrao0LT8tSQshKb7LN57718hrwI8OjqCC+cv4Pbscc6Mu+0pBvytKwbvvfdByF0yTqcTx0+cgC3dFpqCWQrAmezEp599hptvDk5X2fLy81DLddAo5tf5lkuSNNlo76rGxYv1Iav2fPy4aw2tYJ7rOwx5k98/efIskpPZrZWRJDHrhD0iOpC++eabqKiowH//93/PmQCq0+l8Bg8w7zMut3Bx6VIV0tPTIZH4Vw6YIAhkZWWiuroqpPWUvDE6OoLq6ioY4wuD7mZjcKrj4YxKxJGjn4XkeJ6cOHEUFE1jewp37tmFOivS1E4cPzZ7W5FgUFNTDZPR6H80mxmQVchAjrseFYSJAAKsWevIdKC3pydoJVnq6+sQrwpdSf/ZiFe7vBihrER++fIlaAgCySyfDRoaSKVpXLpUxdHIfBMRwvPBBx8AAL7+9a+jsLDQ/R+TwHr33XejsLAQXV1dyMnJwfDwMCyWmdFH3d3dIEkS2dnhi3wZHR1BZ2c7srICW6vJzs7GxMQEOjragjMwPzlxwtWW2pLov7+etBmhaT8OqXnU/Zq0BRaWbIovRHNTA3p7ewL6HluOH/sU+TobMqK4y3chCGBb8jiqL18KeQRUWdlpQELAmeqH8FgB1QcqyGvkICjXJIO0klB9oAICyKFlRC4YYfFjY6MYGhpAvJofwqNTJEAmUYRMeGiaxqWqC8iz2Tl5mOfb7aivvezTa8QVESE8N910E/7t3/5txn/Lli2b8rlOp8PKlStBURTOnTs3ZR9WqxWVlZXIz88Pi1+doaqqEoCrV1EgMGJZWXme6yEFxJGjn8GpSYJTFefX9oTDgtjLhxHVUwGCdj2AJA4zYi8fBuHwPzTZklAIgMDx40cCHvN86e7uQnNLC7YnB5ZM6A/bUgygaVeYdqigaRqnz56EI9UO+LF2LK+Sg9TPfESQehLySv8TQukoGnQCjdNB6NTZ1tYKAIhVpXC+7/lAEARilMloa20NyfF6e13rOwud3ASKLHQ6YbXbg543GL7YwwC4+eabvb4/MTGBqqoq3HTTTe5abbt378ZLL72EF154AWvWrHEHFBw8eBAGgwG33357yMbtjaqq81Cr1T4rUvtCq9UiMTERlZXnceONtwZpdLPT2dmBttZmmHL8b2Ou6TwNqWVsxvtSyxg0nWegz93m134ohRa26Ax8+tkn2Lv3jpAs3B479hkIAFs4iGabTobajgKdDceOfoIbbvB+fXNNc3MjRodH4Nzgn5tN0u/bFTzbZ96wZ9jRUtmE4eEhxMcnBPTd2WA8ANHK0Kw3+kO0MgkdHaFJf7h4sRIAsNDBTSJwnsOVz3Px4gUsXhy8AIOIsHgCIS8vD1/5yldw4cIF3HjjjfjpT3+K/fv341e/+hVWrFiB2267LWxjczqdqKysQHZ29rwuyJycHNTWXobZbArC6Obm2LHPJjuN+p8dLhv37deXjXcGdHxzQhEGB/pC4sagaRonjn2Kkjgz4hXBye7fnjyB1ra2kLU3P3v2NEDA7zBqwuj7Gp3tM284shxXxsAhHR3tUMk1UEiDX+bFX6KViTBbzCHpSlpVdQGxwLzzd6ajBpBFUbgY5KaFghMeAPjmN7+JJ598EgRB4PXXX0djYyPuvfdevPzyy2EtENrc3IiJiQnk5c2vqGZeXh4cDod7lhNKKIrCkaOfwhadGVALBInNd5WI2T7zhjUuHyClOHbsSEDfmw9NTQ3oGxjA9uTgVbnYkmwASQDHj4emidipM8fhTOG2946/0NGuHj2nz3BbLqi3twcamX9u31ChVbhC/vv6eoN6HKfTiUsXL6DIZuc0D7jI7kBjUwMMhuBd+xEtPE888QTq6+tntEQgCAJ33XUX/vGPf+DSpUv49NNP8Z3vfCfs0WznzpWBJMmA13cY0tPToVAoXHW2Qkx9fS1GhodgTghOEqA/0FIFLLG5OHHyGByO4CY/Hj9+FDISrGqzzUWcwomSWDNOHPs06J1Wu7o60dfTy2mL60CxZdpQW3sZej13a2Z9vb3QyMMfRu2JRh4DIPjC09hYD7PFgkKO1ncYCp0OV9BCEKPbQiY8Y2NjoToUbykvP4P09PSA84gYJBIJcnNzce5cmdfK3MHk+PEjgEQatBYI/mJJKIJBPxFUq8/pdOLkic+wOt6AKGlww9e3JevRNzCAxsbgLuaWTXYDDUbvHX9xZjpBUzQqKso52Z/VasXY+CiiJh/0fEEl04EkJOjv7wvqcS5cqAAB7tZ3GLKdFJQEEdRAJtbBBf39/Xj33XfR09MDu90+ZeZG0zSsViuGhoZQWVmJS5cusT1cxNLX14uOjnZcdRW7BNCCggLU1dWhoaEOxcWhqWLgdDpx8tQJWGJyQUvC28vIGpMNSBU4ffoEVqxYFZRjVFdfxNj4BLYtDX5ppY1JRvxfPXDixLGglZQBgDNnT4GOp0FHBdeymg0qngLUroKe27btYL0/JhRdLY9mvS8uIQkSarkWw8PBXeO5UFGOHIoC16tbEgCFNjsuVJQFLUCClfC0trbi9ttvh16vdwsOQRBT/g24BCg6ml8XR6hhchgKCgpY7WfBggWQSCQ4e/Z0yISntvYyDPoJWBaGp7bYFEgpzDELcPrMKezf/2+QSrkPzDx+/AjUUmBNfPCDOKKkFNbEG3Dy+Ge4556v+p1UHAjj42Nobm6EvSS4uRlzQgD2dDsuVFZwUg9sZGQYAKCWhteF7g2lRIPh4eGg7X98fBzNrc24Pkj5NkVOB6pGRydzDnM43z8rV9uLL76IiYkJlJaW4r/+679w/fXXgyAIPPXUU/jud7+LrVu3gqZpFBQU4ORJ7mP4I4nTp08gOTmZtQArFApkZ2fj9OnjQV8XYDhz5qTLzRYzv7UprrHG58NsMgalz4vVasXZ0yewIXECcklo/r7bUgwYm5gImk/9woXzrt476eFzszE40109ergov8+0ylDJ+Cc8KpkWw0PBSw6urKwAABRx7GZjKJ7c7/nzFUHZPyvhOXv2LGJiYvDrX/8ad911F/bu3QuappGamop9+/bh4MGDeOSRR9DU1MSbBmzhYGCgH42NDSgq4saVUlRUhKGhoaCvCwAua7WsvAxWXRYgCW7FWn+xRmcBpBQVFdwHWZw/Xw6TxcJpiZy5WB1vglqKoCXHXrhwDoSKABUX3nJLgKtHDyTA+fPn5t54DsbGXJUwFFL/oyxDhUIahfGJ8aDt//z5c9CCQEaQSmjF0DRSaRoXznOzHjcdVsIzMjKCpUuXululFhYWTkZDXFnL2b9/PxISEvCXv/yF3UgjmFOnjgNw/X24oKCgABKJJCRZ711dnRgeGoA1Nifox/IbiQxWXQbKz5VxbvUdP3YEsQoaJbH+FyQbtUrwamMcOo0uYR62SjBq9d9lJpfQ2Jg4gbNnTnDeII6maVRdugB7SpB77/iLDHAmOHHxEvs8kYmJCRAECblEycHAuEUpVcNsNgWl9IzT6UTVhXMotNvmfIDrCQJ/U8gxMNkLaZwgoPdzzabYbkdtbQ1MJu5dzqyERy6XT4nQiouLg0ajmdKllCRJlJSUoKWlhc2hIprjx48gNTUVMTExnOxPoVAgNzcXJ04cC3p024ULLlObL242BmtsLgYH+jmt3WY0GlBxvgxbksYh8fMhrbeT+H8VafhTRyzs9OTNbZfi/1WkwWD3//banmKA2WLl3Irr7u6CfnwCzuTwu9kYnMlOtLW1wmhkZ1VOTIxDKVXzpjmiJ4wVFoxcmJaWJuiNRrc7zBcmAM+qVfhULodj8m9kJEk8p1bBHykpdjjhpJyorubeBcxKeLKyslBfP9Xdk5ubi8uXL095z+FwBL3oHF/p6GhDW1srFi/mNhBg8eLFGBsbDXo/++rqKlDqWFAKfvnRbdGuHkWXL3MXKXn69Ek4HM6A3Gy/b4lDj3lmpF+PWY7ft/ifX7I01ozYyQZxXFIz2VGSV8KT4gRooKbm8twbz4LRaOSltQPAPS624uoNJox6rvyd9xVyDHnp+jpIknhfMXd0aq7TCQVBuNYIOYaV8GzduhUdHR348Y9/DKPRlWhXWlqK9vZ2nDjhylDu7OxEWVmZu+30542jRz8DSZKcre8w5OXlQaFQuMrYBAmn04nLl6th0fDvt3MqYwF5FKfCc+L4Z0hTO1Gg9d/ddXHU94OvatT/fC0JAWxNGsf58+WczpIbG+tBKAnQ2vCFUU+HiqcAwlUdgg1GoxFSkrsyDFxWNZG5hYf7BOQL588hi6KgmeMnbZolQnK2zxikAAo8wqq5hJXw3HfffUhLS8Nrr72G//iP/wAA7Nu3DyRJ4sEHH8SXvvQl3HjjjbBYLLj++vC0LQ4nTqcTR49+ipycHPc6GFdIpVIUFhbi9OkTMJsDbJDiJx0dbbBYzLDr/OuUGlIIAhZtGqovc9MjfmRkGNWXL2FbcmAN34asvsO5Z/vMG9tSDHA4nDhzhrv2AU3NDbDH8WR9h0EK0DGuElJsMBmNkHEgPEqlEqWlpXjggQewfPlyKJVK1g9aZlxcC4/RaEBjUwMK7XNXKxj1Yu3485knRU4HBoeHOG9Hwkp4oqOjcejQIXzpS1/C0qVLAbjcbz/60Y8glUpRWVkJo9GIXbt24f777+dkwJFEVdUFjI6OoKSkJCj7X7p0KaxWK06f5rb+FUNjo2tGatfyo+T8dOyaVIyODLnDatlw6tRx0DSwNQiVqP2lQGtFqtqJEyeOcLI/m82Grs5OXkSzTccRZ0dTMzuLx2q1QEKyj7QsLi7GM888g1tuuQXPPvssioqKQIHd34wZl83GbbBIdfVF0DTNeZkcXxROriNdvMht0VDW2Xfx8fH43ve+N+W9PXv2YMeOHWhqakJqaioSExPZHiYi+fTTj6BWq+ddFHQu0tLSEBcXh08++RBXXXUN5/tvbKwH5Co4FfxM/mUEsaGhHmvXrme1rxPHj2CB1o5MDhu+BQox6W47VH0Jo6MjiI1lV/yyr68XFEWBiuGf8FDRFPTNehgMemg081s/tFqtUJLs1h7lcjm2bNniDlAgCAJbt25FbS27CuhSUuoeI5dUVV2AgiCQ4wzNb5pA04ibPO511+3mbL+c1mobHh5GdXU1WltboVarUVBQ8LkVnfHxcZSVnUZxcXFQstEB102ydOlS1NXVBKWtcFNzE6yqpJC1uA4Uu9o1tpaWJlb7GRjoR2NTI7YGoeFboGxLNoCiaZw+zT7huq/P5R7h0/oOA61zjYlNIU273Q4JwW7ubLPZcPToUbdrjaZpHD16FHYbO4uCnBwX10FVl6ouIM9uR3CeKDMhACy02XH5UhWnEbScCM/hw4exa9cubNq0CXv37sXBgwcBAN/4xjfw8MMPY2SEvSsk0jh69BM4nU53l9RgsXjxYpAkiY8//oDT/TocDnR1dcARxV3TLs6RSEGp4tDe3sZqN6dOuVyVm5PC52ZjyNLYka1x4PQp9jlazEOd0vLQ4pkcE5u1A67qiNXV1eGRRx7Bn/70JzzyyCOoq6sDyfLRSOBKuTCuGBkZRk9fLwqCVK3AF/lOJ4xmM9rbueuqytrV9thjj+Hvf/87aJpGcnIy+vv73X/s7u5utLe3o7GxEYcOHQp7W4JQQdM0PvroA6SlpSEhIbgPbo1Gg/z8fHz22ce48867Wde/Yujp6QLldMKh5rfFalPFo6WVXY7Y6VNHUaCzIUUVvpYBnmxKnMBbdTWs3W0jIyMgpERY+u/MBa12PSPYrM+5njPshcdisaCyshI1NTWw2WwAwD5oYXJYXAoPE8GZH+LK9MzxqqsvYsGCfE72yUrWDx8+jL/97W8oKSnBP/7xDxw9OrWh1VtvvYUtW7agra0Nr732GptDRRS1tZfR09MVdGuHYdmyZdDrJ1BWdoazfTKuO4eaX022puNQxWF4eHDevvTBwQE0NTdjU1Lwml4FyqYkA2iafbfO8fExYH4dOIKPDAA5OcZ54lmQmAsY0eGEyWFxmdxaU1MNJUEgPUhlcnwRQ9NIBPu8K09YCQ9jxbz00kteF9Dj4+Px3HPPITY2Fh999BGbQ0UUH330LygUCs5zd3yRk5OD6OhofPTR+5zts6enGwDgVMZwts9g4FDFAjSN/v75rRWUl58FAKxPDF7Dt0DJirIjTe1EeRlb4RmHM0htu1lDAISKwPj4/OuZyeVyUDQ/rNTpOCfHxWVuUG1NNXLs9rB078yx21FXU82Z0LM6h6amJqxevXrWUjBKpRLLly9HVxf3i998RK/X49SpE1i0aJHfbi+j0YgjR464y6gbDIaA4v8JgkBJSQkuXariLN6+t7cHUGjC3n9nLhhhnO95l5WdQkaUAxlq/lTWIAhgXYIe1dVVrPJAzGYjaCn/AgsYaBnNKgdNLlfASfFUeCjX9SSXc+PnNBoN6OrqRG6I3WwMC5xO6I0G94SULayEhyRJvy4cvV4P0s+EpUjn6NFP4XDY/XazWSwWvPnmmygru9JV1GQy4a233oLFYvH7uEuWLOE0yGB4eAh2mYaTfXnC5QwQAJyTpXyYpmCBYDabUFtTjXUJ/HGzMaxNMMLhpFh1WrXYrJwKD9e/HS2hWeW5qFQq2Cluw5W5wk653HZKJTfC09TUCBoIWRj1dBjB46oiPis1KCwsRFVVFfr7+31u09vbi+rqas4qM/MZmqbx8ccfIDU1FUlJSX5958SJE17bgo+OjrrLDvmDVqvFggUL8NlnH8PhYD8LHBoehlPOnfB4yw4HB2Y7LVUBBDmvyMnq6ktwOCmsjAt+w7dAKY62QCUFqqrmXyfLZrWCi7hb778d+/1SEopVnosuOho2Z3CqdrDF6nBdU9HRMZzsj3ngZ4XJ4kmiaCgIwp1UzhZWwnPHHXfAZDLhgQceQGPjzPIXLS0teOihh2CxWHDrrbeyOVRE0NhYj87O9oAqFXR0dMzrM2+UlJRgfHyMkwrHY2OjoGTclfnxlh0OmoPZG0EAiih3b5ZAqKw8D4UEWBTjv2UZKqQksDzWgMoL5fP2q1M0xUmpHK+/HQ8itKOjo2F18mdtzhOrwzUuroSnqakRyQhfrAgJINPhQGMDu8Raz/3Nmz179uCWW25BTU0NbrjhBqxbtw4EQeDUqVO49tprsWfPHlRXV2Pnzp246aabOBkwn/n0048gk8kCCirQ6327eWb7zBsLFiyARqPBp5+yD+SwWi2cre/4yg5XyLkJ/aZIOSyWwGe+1RfPY2mMETKeeoFL48wYHBpGf39f2Mbg67eTy8K/9hcTEwuz3egSWJ5htutBEAR0Om6qfrQ0NSAjzBX+M51OdHS0cZJIyvqW+/73v4+nn34a2dnZGBsbA03TGBoaQnt7O5KSkvDtb38bzzzzDOuB8h2r1YqTJ49h4cKFUCjCkzhBkiQWLVqE8+fPzcsCYHA4HHA6HKA56jjqKzvcauPmRqJIKSyWwFw2er0eXT09WMxDa4dhcbRrbHV1tfP6PkEQrF1ivn47m52b0GM24cbJySmgaQome/A6fc4Xg20MsbHxnOTV6fV6DI+OID1M6zsMaU4KdoeDkyoprBJI//KXv6C4uBh79+7F3r17MTg4iN5eV32oxMTEz1UrhPLyMzCZTFiyZElYx7FkyRKUlZXh+PEj2LNnflYmM6OhCe5MASY7fOvWrTh69Cjq6uoAjvZPEyQcjsBErL7e9TBfFM1f4cnS2BAlA+rra7Bt21UBf18mlXPiEvP623Hw05EUyerBnJKSCgAwWEehkfvf+ygUGO1jSM1J5WRfbW2uBOlQ5+9Mhzl+W1sLsrKyWe2LlfD87Gc/g1qtdufoJCYmfm5rsx079hm0Wi2ysrLCOo6EhASkpKTg2LH5C49U6rosCIq7hUxv2eHgyJVH0FTAD7DGxnqQBFCg42dUFODq0VOoNaGhvmZe31cqFQAHVYC8/nYcGMOEk2AVbpyW5prYTliHkaJdwH5AHEHTNPTWIZSmcdP8sbOzHQCQEmbhSaYokAA6OwNbe/YGq3mLwWBAcXEx60FEOnq9HpWV51FUVMSLNrzFxcVoaWmad8y9RCIBQZIAzX0EDafZ4ZOQtDNg4WltbUZmlANKCX/zXAAgT2tFV1fXvIpNKhUqEE7urkeufzvCQUDhRydMX8TGxkGj0WHM7DuqNhyY7ROwOszIyeGmXXxXVydUBAEdx83YAkUCIHFyPGxhJTzr169HWVnZrOHUnwfOnj0Fp9PJGxFmghtOnTo+732oVFEgHfx1Q3lCOixQq6MC+k57axNyo/gZiutJrsYGh9M5L7+6Wh0FiT1UdYzngQ1Qq+cfsk8QBHJzF2DMwq/nz+jkeHJyuLHCOjs7kOx08qKXX7Ldga6ONtb7YeVq+9rXvobvfve72LNnD66++moUFRUhOjraZ7Lonj172ByOt5w+fRIxMTFITk4O91AAuHJ60tPTcerUCdx665fmtY/Y2FiMBKFtL+fQNGAzBlRM02w2YWhkFDl53FtfXJOjcY2xs7M94Bm0RqMBYePD48oLNEDbaGg07HLF8vLycbn6EhyUHVIOmsJxwYipByRJIjubG4unr6cLeWHK35lOIkXh8uAAnE4nq3YvrIRn37597kJ9f/7zn+d0MwlReEwmE6qrq1BaWsoLNxtDQUEBjhw5goGBfiQlBS6ICfHxaB/jtt1tMCDtJoCmAxIeJjw5TcWfMjm+SJkc43xCqjUaDWgL7Yps48+l6cIOgAaiotgJT1FRMd599x2MmnuRGBXe9VWGIVMnsrNzoVKxz7qx2WwYGRvD2jCv7zAk0BScTieGh4f9TpL3BivhufHGG3n1sA0HFy5UwOFwoKCgINxDmUJ+fj6OHDmCsrIz2L37iwF/PyUlFdLLNS6Lgse/scQyBuBKhJM/MH1qUiJAeJQSGnFKel7CExMTCzjhesiHP+1mCoTZdU3FxrKLRissdLm3h4ydvBAeinZixNSDVcXXcbK/gQGX2y6e4sdaJDOO/v7e8AnPj370IzZfFwQVFWVQqVRIS0sL91CmEBcXh/j4eFRUlM1LeDIyMgGHFaTdBEoe2PpJKJGaXaVyMjL8f+gMDbnquiUFof+OXC7nfBE+SWHD4OBAwN+Li4sH4HrI03J+PLgYCJNLeOLi2PWr0umikZ6eiYHxdhQnbeRiaKwYMfXCQdlRXMxNRBvzu8fxJEk2btLyms/16EnIcra91SOLdCiKQmXleeTk5PCyCGpubi5qai7Dag08SIB5kEtNgRffDCVS0zDkckVADff0+gmQBKCRcncze6tnxlUQUrTMAcNE4EmSzEOdMPLPYiVNrvslLo59v6dly5ZjyNTJi0rV/YbWyZb03PTiGhlxVayP5onFw0TWMeOaL6w7kPb39+Pdd99FT08P7Hb7lLpSNE3DarViaGgIlZWVuHTpEtvD8Yr29laMj49h48YN4R6KV3Jzc3Hu3DnU1FSjtHRVgN919VeSGvthi2GXLBZMZMZ+LMjLD0j4JyYmoJEBJIfPY6aeGUEQuPnmm/HII4+g5uL8C3x6opU50TQP4UlJSQEAkHoSFB+Kq3lATBAgSBKJifN31zCUlCzHP//5dwyZupCsyWE/OBb0G1qRk7MAWq2Ok/25hSfModQMcgBqggiv8LS2tuL222+HXq93C45nV0Bm/YemaURHs69ZNDo6iv/7v/+bXDQfQEZGBm666Sbcd9997qRHwNUZ9bvf/a7XfSxbtgyHDh1iPRYAuHSpCgCQnc3PB3NGRgakUikuXqwMWHi0Wi2SklNhMfArVHUKlBMy4yAK8tcF9DWz2YQoDq0dX/XMGmq56dgYJaVgMgdeQTsuLh4yuRz2Cf6tZZF6EomJiVPu2/myeHEJJBIJ+vTNYRUem9OCYVMXNi2/hbN9jo+PQUUQ7C0EDtHSNKsGfgBL4XnxxRcxMTGBFStW4Atf+AIqKirwr3/9C//zP/8Dm82GEydO4MiRIygoKMBf/vIXVgM1GAy488470dLSgu3bt+Oaa67B+fPn8bOf/QwVFRV48cUX3Td+fb2rhPj9998/o24aMwvkgsuXqxEXFwetVsvZPrlEJpMhNTUVly9Xz+v7RYWFGDhTjnGeBhhITYMA5UBBQWAtNyiKAklw2zL56NGjuPnmm90Tr6NHj8Jh56YqAklgXhWqCYJAaloaWiaaOBkHl0gmJEjPyeBkX2q1GsXFi9HZ3IRl2MHJPudDv74FFE1h5crVnO1Tr9cjiiNrh6v1xyinE3r9BKt9sBKes2fPIiYmBr/+9a+hVquxYMECvP/++0hNTcXmzZuxb98+vPjii3juuedw+PBh3HHHHfM+1ssvv4yWlhY88cQTuPvuu93vf/Ob38R7772Ho0ePYtu2bQBcwhMTE4NHH32UzenNCkVRqK2txoIF/CnV4Y2MjAycPXsWZrMJKlVgbQ4WLVqKY8eOQGIZhVPF3hfPNfIJV2WGRYsCW8ilaZpzHfVWz0zKkbiRmJ/wAMCCnDx0lrXDCh6VBnICxDjhdudywcqVa1Bd/WsYbWOIksf49R21XIdxy6DPzwKlR9+EKHUUFi7kruW9Xj8BNctQaqVSieLiYmzZssV9bdIsOr+qKRoTLC0eViviIyMjWLp0KdRq1wOtsLAQNE1PWcvZv38/EhISWFs83d3dSE1NxZ133jnl/euvvx4AcOHCBfd7DQ0NWLhwIavjzUVPTxeMRiMyMriZtQWLjIwMUBQ1rwZOixcvBXDlAc835ONdSE5JCyiHB3BV8XZS3CoPU8/sxRdfRGVlJSwWC2fi5qAx7+CVBQvyQZtodxQZHyDHSIByjY0rVq1aAwDonvD/Ok+M8u0iT4rKCej4FE2hV9+EFStXs0qsnI7ZZIKSpfB466fEJh1VCRqWebh+PWElPHK5fEqSVFxcHDQaDZqbm68cgCRRUlKClpYWNofCz3/+cxw5cmSGT5jZLxPV1NfXh7GxsaB3PG1qcjW+S03lpgJtsGBci83NMxv1zUVqahpiYuMgH2dfFJBzKCcU+m4sKwk8ekij0cLgCE4UYjBq0RnsEmjmmWiZl+d6uJPD/Im6JIdcY1mwgDuLJy0tHRkZWega978189KUbV6rWmvkcViSsjWg4w8aO2B1mLB2LbeBRlarhVU9Vl/rjzIWbcxlNGBleZ2zuhqzsrLc6ykMubm5uHx56qKqw+GYV5FDX9A0jeHhYbz55pt4/vnnkZaWhhtuuAHAlfUdu92OBx98EOvXr0dpaSm++tWv4uLFi5yNobm5ETKZnJNw0GCiUqkQExPjFspAIAgCK0pXQjnRyU23UA6R6XsBpw3Ll68I+LsajQYGG8CTCNU50TtIaHXzi5JasCAfUqkUkgH+1GyTDEgQHRszr4oas7Fu3QYMGTtgcfhX6kkuUWJH3j0oSlwPknD9fRQSNXbk3Q25RBnQsbvH6yGTyVBaujLgcc+GzWqFjMUaj69+SnYWwiEHDZuNneuWlfBs3boVHR0d+PGPfwzjZF2v0tJStLe348SJEwCAzs5OlJWVcdqb59lnn8WGDRvw1FNPQavV4tVXX3VHzTHC8/bbb8NqteLmm2/Gxo0bcfr0adx55504fnz+hTM9aW1tQVJSIi/zd6aTlJTk7ukRKMuXrwDsFsgM4euC6Q3FeDsIksSSJYFbPDExsaABjNn48zCejWGbDNHR85vgyOVyFBQUQjrAk7goGpANyLB08TLOq56sX78RNGh0jfvfnlkp02BZ6g7oFC6PiUqmhVIWmHVJ0RS6JmpRWroKSmVggjXnvikKbK9SZv3xT3/6Ex555BHU1dWx2ic5OS42sLoa77vvPvz973/Ha6+9hubmZrz88svYt28f3nzzTTz44INYtGgRGhsbYbFY3GsxXJCZmYn7778fbW1t+OSTT3DXXXfh17/+NRYvXgyKopCeno5///d/d1tBAFBWVoZ7770X3/nOd/DJJ58E1CU0Pn7mhdjb243MzExOzifYxMfHo6mpCTExyoDbB1x11WY888xPIR9tg13Ln+oMyrFWLF26FDk5gUcpFhe73E9dJhniFPwovugLmga6TXKU5uciMXF+0ZNr1qxC7euXARvCXjqH0BOgTTTWrl017/PxRUJCCTIyMtE5Vov8eG4tj9kYMnbCbDdg166dnJ+TVEKybSLrtZ8SG3mkgckcrPmfKyvhiY6OxqFDh/DCCy+4XU5ZWVn40Y9+hO9973uorKwE4AoAuP/++9kcagq33HIlTv6zzz7DAw88gG9961v4+9//jgMHDuDAgQMzvrNmzRrs2bMH7777LsrKyrB582a/jzc8bADl4ZfR6/UYGxvD8uXLWZ2HN4JRciUuLg4URaG6uiGg0jIuCCwsLMbljlYYs/iRKEtaJyAxDqF0+RcxOKgP+PsajauUTJdRjpJYfrd+GLZKYHEAsbFJ8zpXACgoWAzQgKRXAmd2eIVW0u2aay9YUDzv85mN9es34fDht2G266GShSbNoWPsMuRyBRYuLOH8nCiKZi08DFw9V+jJ/5ntXEmS8Dphd3/OdhDx8fH43ve+h4ceesj93p49e3DixAkcOnQIx48fxy9+8YuALIxA2L59O9avX4/GxkZ0dMy+CL5o0SIAQFcXu57hg4OupEq2BQ498V5yhZtLjhnnfApNAsDaNesgMQ6CtPCjt71ixOU2XLVq7by+HxcXD7VSiRYDzypneqHF4LpvMjPnXwBz4cIiKFUqSHrC71qU9kiRnJoaUFHXQNi8eRsAGh1j8+vaGihOyomuiVqsWbOOczcbAEhlcvCjE88VnADrxN+gOX7VajVKSko42ZfD4UBZWRlomsbGjTMLATIFOkdHR2EwGGAymbB69cwkLqvVtSAWqAg2NNTCYrmymNbR0e5esxocdOUBxMTETHFj6fV6WCz+z6a9lVy5dOmSe//TSUhImOIjHxsb8xnA4XA4kJ6ejra2FqxcuWbKZ42Nde6/iy+YyD3lSDNMaa7F/AWSkTmTMC20FCa5FqTZe3kNqUKNfOnMz4yUHL3UldmqFE7kSMfcr6Mkg4hfvBQjI0MYGblSSy42Ng7p6Vfcn2azyWc039Jly9E12IYqJCIJQ0jFlb/zBDRoxdxu1DTMLuROSFCFmc0Bs9GFGFyZLQ4gHr3wXjrmPB2FjAw17HYrjEbDlDYCvb09GB72fn14kp+/EMuXrcDZi6dgo21IsCUgyjF34ddB+N43CRLZRu/hyO1R7VNep5pTIafkAAUoJAosWVSC6uqqKdtIpTIUFS2a8l5dXQ0cjtmDkpRKFfLzr6ROpKdnYNmyUhgnumFW+v59JJQCcpvnxNF1LVOkffbvOVWQ269UYekzNiIhOQ5FRUUzzsmT+PhEpKZecVUbjQa0tjb73J5BF62D1UN3jGo1Bv2oCp0wNATMYitRJIm2nJwZ7yf190PtkeMzGhOD8ZiYqd+VSZGu1U0537y8gil5gv39vYiP912xnycrjnNz4MABREVF4cSJEzPi5Ovq6kAQBDIyMnDrrbeiv78fJ0+enBFxVlFRAQBYsmRJQMc2m00wm6+IiF4/DrlcDolE4n7YT7dOKIryO5LPV8hjbW2t3/uYLXKQJEnI5XIYDDNNY7PZDItl9mQyhUKJ7JwFaB5udAuPknBAMofwUDSB8egMyHwIjyImCSpiZmFHOzH19yUA93aE0wYVZUZu7hKYTFOjl6Y3FaMoasY2DImJSagZ7McYpUbstAZiTpAwYu5kW8cctw8NeN3P9O/ZIfV5vAGHBslJibDZbHBOawZmt9t8nt+UcdA0Vq9eizNnToIcISFTy6B0spyd0/C6D9rLNSGn5FA6lSAmCEilUqSmps0Yt9xLeK/FYpqXeygvLx8XLpyDmRqDQupdYAnal/VHgyJ933MkNfVa6ZyohTZRi7i4+Fl/C51uaskwp9Pp12+nUKpg9JhgUhIJrMq5J85OCQnM0TzO236oacFSTql0xna0VAqlSjVl/NODDeZ6bkWE8EilUlxzzTV477338Oqrr+LrX/+6+7O33noL1dXV2L59OxISEnDdddfht7/9LX75y1/iqaeecj/M33//fRw5cgSrV68OOLlUpVKD8HgYOhxO2Gw2qFQqt8k5PUKHJEm/F/J9llxxOPzeh1QqndU153Q6vd7EKpVqzsg8uVyOjRs2of2t10FaJ0ApdLDQUsy17GmDBIbM9ZCPtUM62TeHgVBpIckuhZmeeQnapj0UaMC9nUzfB5vNiry8ghntrmWyqQ8vkiR9tsROS8vAhQsVGDU5sFAz9SaRgEIU5k6Qk2L2asgE4HU/078ng8Prdg6KQI8+CsWZKa421tMmXDKZ3K+W3wRBYMWKVSAIApIuCexFdlgkc1vjdBQNYsy7m4dUk37tAwBspOu6k45KIaElyMrKmXEuUunM61ypVHt9f+o2M5utFRYWoazsDIb1/ciI9p7PR3q57lwQM8Rlyqce37M6zOjVN2H7qh1zNrSbfm1KJBK/fjulUgWTx9+KdDqhsMwdyixxzh115m0/5DQBkTgcM7YzyylIpLIp45/+DJnruRURwgMAjz32GM6dO4ef//znOHv2LBYuXIja2lqcPn0aGRkZ+J//+R8AwIMPPohjx47h0KFDqK+vx8qVK9Ha2oojR44gMTERP/zhDwM+9sKFxVOCC+rqatHd3Y2kpCSfWcparTagGm7eSq5IJBIkJib69f2YaebwdFwuu5kCU1DgX3kPnS4Gb731OpRD9TClr0aL08/wXikwungv1L3noe6tBEE74ZSqMLLoS6AQhTme3QAAByRocrgCAuJaP0ZutAxbtlw15/dUKrXPcOuFC4vxu9deQS8xhNTCqa0fdDBgGWrnHhgAwHfxWwmcfu0nCcNIwkyr8NyoCh2dVtx9z9e9nkdqatoU981sKJUqLCwsQl1XDYaWDWFIMXe7C3my3FVlwAuWVMsMl5ovelW9AA1o6jVYX7oJy5b5l3s13fXmL6tWrcOHH36A2kuVyCvcDJLwZynbJbAkJYPK4l+kZOd4DWw2K66++rqAk2GjojR+pQKcOXMKeo9JbZTJhKi2Nv8OovEtbCRFIceP/cSOjSF2WkubXq0GudkLZh1/cvLsa3j8T0KZJDk5Ge+88w5uu+021NfX4/XXX0d7ezvuuecevPPOO0hOdiWj6XQ6vP3227jnnnswODiIN954A9XV1bj11lvx5z//mZMQaIfD9bTkMofHe8kV7hYVJRLJnP7y2UhJSUV+QSHUw/5nhjNQ8igYsjfDoYp1v55PcznSMg6Zvhdbt24P+LvTkcvlWLJkGc6NsGu9HEwqhtWQy6RYtGgpJ/tbs3o9iBEChMG/68q23AZKO3PmTGkp2JYH5gIjh0jQZhpr1gRWSXy+bN++AyabHv2G1qAdo230IjIzspGbG7x6jTExsTDTNPhUX1xPEHNOdOciYiweAEhMTMTTTz8953Y6nQ6PP/44Hn/88aCMg6toM28Eo+QKV2zdsh1Nrx6E1DgIR5R/lhiXqIZciYGbNgVWzsQXpStWo+L8OXQaZciM4tOt7crfOTusxeIlyziLCF2zZh3eeOM3kHRJ4Cjyw9SUA+ZrzZDVyiCrlYGgCFAKCuZrzQHnA0k6JSBJEitWBNaeY76sWrUWanUU2kcvIVXLXWkeBr11GMOmbnzh1q9wngjrCdNFdowgkMiDnjxWACaaRnw8u86xEWPx8AmmPh2XZYCCjc1mYx3uuXnzVkgkUigHuOkzExA0jajBGixeXMJZqRVm9n16kH+tvduMcvSZJFizZj1n+0xLS0dqWhqkXQHMN1WAfYUdVLTL8qHVNDBzWWVO5N1yLFq0ZM61EK6QyWTYtGkruifqYXdyX5m7bfQSCIKYDN8OHsnJLrffCE8qpDDjYHsP8uNsIgxmQZPP1oknNE1PCs88nhgeaLU6rF69FlHD9QAV2kREmb4bhGUcV111DWf7jI9PQH5eHk4N8q+f0umBKBAEsHr1/HKVfLFm9XpI+iWuKgYhgtATwBiwenVo3GwM27ZdBQdlD6iEjj/QNI2O8WqUlCx3WyTBgnnAD3HZLpcFw5PWHVvhCcjV9p3vfGfeByIIAj/4wQ/m/X0+wYTtms3mGSG8fITJJ+KiYd2OHTtx5sxJKEabYY0PbusJT1T9l6FUqrBuHbfVE9au24Q332zGoEWCRCV/yuecHNJiYUFhwC0f5mL16rX461//FNIqBpIuVwAO07ogVCxcWISkxGR0jF1GblzgNf18MWzqgsE65leAC1vi4xMgl8kwwJNJbr/EZaukpbGrvRmQ8HjrqePp3/S29sGEBwtJeBISXOsbExMTfkedhZOJCVe3QGbcbFi2rBRx8Qmw9VeHTHgIhwWqkUZsvWYn59nh69ZtxJtv/g4nBzS4MYsflRm6TTK06mW49xb/yzr5y8KFRYjSRMHR6QiZ8Ei7pEjPyAhatQJfEASBLVu340/v/BEWuyHg4p++aB+7DJlMjrVrg2/BkSSJ9PQM9M2junww6CNJxOqiodGwm8QGJDw/+clPprymaRqvvPIKmpubsWvXLuzYsQPp6emQSCQYHBzEkSNH8Oc//xlLliwJajfQUJOY6MocZh7ofIcZJzNuNkgkElxz9bX44x/fBGkZB6X0HU7MFcrBOoBy4Oqrr+N832lp6cjOysKJQQtvhOfkgGvNad26mVU62CKRSLBq5VocO/MZrJQ1+M52m6sNwpovcrdWFQibNm3FO++8jc7xWhQksG9JzVSiXr16bcAdfedLZlYOLra3Aebw1xXsk0iQmZ3Dej8BCY9ntWfAlbzZ3NyMn//8516rT1911VXYsWMHDhw4gIqKCqxaFZqIlmATGxsHuVyOkZGRcA/FL5hxMguVbNmxYycOHXoL6oFqGLK4fzhOgaYRNXAJuQvyOW0c5sn6DVvw9tsdGLJIkMADd9vxQS0K8vI5mSh4Y/XqtTh69FOQgySo5OD2WZJ0SwCK+7Uqf8nMzHI1iBut40R4Bo0dsNiN2LCBe2vUFzk5uTh27DMYCEATxsA2J4BeksTyHPbh46zmO6+//jqWLVs2a8uDrVu3YtWqVTh06BCbQ/EKkiSRmZnts44a3xgYGEB8fAJr85ghPj4BK1asRtRgTdCDDGSGXkhMw7juWu7aakxn/fpNAICTg4G7YhIUvsOSZ/vMF71mKZon5Fi/cUvA3/WXZctWgJRIAotumyfSLik0Wu2UemqhZsOGTRgwdsBiN7DeV9d4LeRyBVasCF3bBaZFeCcZ3iKv/SQJB650tWUDK+Hp7e11J27ORkxMDIaHvdfrilRycxdgcHAwqDk9XDE4OIicnFxO97lz5y7AZoRilF1L87lQ9V+CQqnCxiA+iDMyMpGVmYXjA4ELz2xtFZbFzl4Dzxsn+l1jYMQwGKjVaixdUgJZp2y2OpLscQKyHhnWrF7ns8JHKHC5LGl0TQSe/OwJTdPo1jegtHQlFAruK1H7grH0uyThDULuJJmW5WEWnrS0NJw7dw4mk++6ViMjIzhz5gyys71Xso1UFizIh9lsxti0chJ8w2q1Ynh4mJOLxZPS0pWIjYuHeqCa0/16QjgsUA03YuuW7e7cqWCxYeMW1IwpMWQJ7AH55QUjSFPNjDhKU9mwb8FowOM4NqBDQV4+522hp7N27QZADxDjwQvTlfRLQNtoTnOR5kNWVjYSE5PRM8FugX7E3AuzTR/y84mK0iAtJRVtYRRvAGiTSBClUvldpmk2WAnPnj17MDw8jP3796O9fWbdprq6Onzta1+DwWDAbbfdxuZQvKO4mJvePsGmp6cHNE2juHgxp/uVSCTYec11kI+1B61PDxNUcM013AcVTIexqAK1ejQyCj9d2YNbs0chI1zrJdEyB366sgcaWWDrJ10mGZr1MmwMclIicGXNRdoRPHebpFMCmVyOkpLlQTuGPxAEgbVr12HA2AYHNf+w5J6JBpAkiZUr2a8VBUph8WK0y2RBNVDnok0mRUFhMSelwljt4Wtf+xpWr16N8vJyXHfdddi5cye+/OUv48tf/jKuuuoq3HTTTaipqcF1112Hu+66i/Vg+URGRhaioqJ4LzydnZ0gSRILF/pXDDQQrrrqGhAEAVUwKhnQNKIGq5Gbmxe0oAJP0tLSkZuTg6P9uoC/G6tw4iv5I+6yO/EKJ2Ln0VL72KSbLRQL13Fx8VhYWOhytwUDCpB3yrFq5ZqgNYEMhFWr1sJJOdCvn3/ttl59EwoLiznJhwuUwsJiGGgag0EszzMbZgB9BDHvwq3TYSU8crkcv/nNb/D//t//Q2ZmJjo6OlBeXo7y8nL09PQgLy8PTz/9NH75y19yMlg+QZIkFi9eivb2dl6v87S3tyMvLz8orqqEhEQsW74CUUM1AM1tdJTU2A+JcSgk1g7Dps3b0TAhR48p9CUMaRo40q9DcfEi1nWw/GXD+s2uoqET3D/MyEFXUdBgrlUFQlHRIigUSvTq526+5g2zXY9Rc19YrB0Abo9FszQ87rYWiQQ05l8xfDqsbSaZTIavfvWr+PDDD3H06FEcPnwY77zzDo4fP4733nsPe/fu5WKcvKS0dBUmJiZ4GzhhMpnQ19eHFSuCd7Ncc/W1IKwGyMf8K5HvL6oBV5IeVwVB/WHz5m0gCOCzvtDPaBv1CnQZpSHJhmdg8oSk7dwLrbRdCplcFrKioHMhk8mwbNly9Bma5zVRZASrtDQ855OenoForQ5NYVrnaZJKIJVIOPOccBomIZVKQRAEoqKikJiYCLM58KieSIK5qVpaghvZNV9aW1tB03RQhWflyjXQaHVQDXDY497pgHq4AevXb0RUVOgKeMbHJ2DJ4qX4tD8aoTZiP+vTQCqVYMOG0FkIiYlJLndbO8fuNgqQd8ixauXaoAeFBEJp6SoYbePQWwOfKPbpmxEbE4dsDpIn5wNBEFi8dBmaZfKwrPM0SaVYuLCIM7cpJ8Jz+PBh7Nq1C5s2bcLevXtx8OBBAK6mbA8//HDEJFoGSkJCIrKyctDU1BTuoXilqakJ0dExQV0jkclk2LplO5RjLSDs3Ew0FKPNgMPKaUFQf9mydQd6TRLUjIcuXNZOAZ/1R2PVqrWc5Vr5y+ZN20CMEj47jc4Hst/lZtu0KXgh8PNh+XJXA7o+Q2ATRYqmMGBsw/LSFUFtgTAXS5cuwxhoDPg5hljKt/t7ts+mYwTQRZJYspS7enesheexxx7Dk08+idbWViQlJYGmabcp29PTgw8//BB33XUX9Ho968HykQ0bNqG7u5t352ez2dDS0oL16zdy2rDOG9u37wAoJ5TDDZzsTz1Yg7j4BCxezE0DtEBYv34TlAoFPuwJnQCUDUVhwkbgqqt2huyYDOvXbwJBEJy626RtUsgVirC5pXyRlJSMlOQ09OkDE55Rcy+sDjOWLSsN0sj8g4kObJD691vlO30HuMz22XSapK71HS7Pn9UT6fDhw/jb3/6GkpIS/OMf/8DRo0enfP7WW29hy5YtaGtrw2uvvcbmULxl/fqNoGkaDQ3cPHS5orW1FXa7PSj1vqaTm5uHjMxsqIfYl58nbUbIxzuwfduOoAumN1QqFTZt3oZjAzqYHKGZ3X7Qo0NcbKx7Rh5KYmPjsGjxEsjb5NwkkzpdbrZ1azfwIpptOstLSzFo6oAzgIobTBfTcIeFp6SkIjkxCfV+rvPsstqQ4MWySaQo7LL6H1ZeL5FCpVBwWn2C1Z196NAhaLVavPTSS8jLm+nOiY+Px3PPPYfY2Fh89NFHbA7FWzIyspCZmY3a2tp5fX+20Ew2YZu1tbXQ6aKxaNGSee8jELZv2wGpvhcS8xir/SiH6wGaxpYt7Ntbz5cdO3bC6gSOhCDIoN8sRcWwGtuv2hm27P7Nm7YBEwA5wl7oJb2upNFQBoUEwtKly+Bw2jBi7vH7OwOGNmRl5SA6OiZ4A/OTZaWr0CiXwZ9iTGoAj5jMuMpqg3TSC6WhKDxsMsPf8qY0gDq5DEtKSiH109LyB1ZXWlNTE1avXj1r/22lUonly5fzPt+FDdu2XYWenh6MjgaeqZ6VlTWvz2bDbDajubkZW7ZsC9nDbPPmrQBBQMnS6lEN1bssqIxMjkYWOAUFhcjJzsY/e2KCHmTwQY8WIBCUytv+sm7dBpAkCUk7+2tF2iaFOkodduvAF4sXLwVBEBgw+JfP46QcGDJ1oaSEu/UNNqxYsRJWmkarn/e1lqZxg82GpEnLR0fT0AZwUQ+QBEYAzqMTWQkPSZJ+Ra7p9fqwuE1ChSsMl8Dly4EnUm7atMmrcMfGxmLTpvlFONXV1cHpdGLr1tCF5sbHJ6C4eDHUIw2Y79NaYh6F1NAfVmsHcEUQ7bx2N1r0MtRPBM9d5KCAD3tjsKJ0FZKSglOJ2h+0Wh2WLl0GeQdLd5sTkHXLsG7tRshkQUpMZYlWq0N2Vg4GjB1+bT9s6oaTcmDJkpIgj8w/liwpgYSUoDZE+Ty1EpeVs3w5t0VRWalBYWEhqqqq0N/f73Ob3t5eVFdXo7CwkM2heE18fAKWLl2G6upqUAFEiwAui/Cuu+7CmjVr3NaJWq3GnXfeOe+mZ9XV1cjIyEJubvAz/j3ZvGkrSNMIpKaheX2fCU4IZUixL7Zs2QalQoF/dgdeycBfzgxGYcRKYue1XwjaMfxlw4bNgJ6du03S43Kz8eH3m43FS0owYur2a51n0NgBgiA4Lzk1X1QqNRYtWowamTwkx6uRSZGRlsH5xIiV8Nxxxx0wmUx44IEH0Ng4swBfS0sLHnroIVgsFtx6661sDsV7rrnmOkxMTKCtrS3g70ZFRWHbtm2Ij3f1b9doNPPOX+nv70dvby927twV8tDPdes2giBJKIbnV4xRNdKIhYXFnHRKZYtKpcbWbTtwbECHCXtwrPX3umOQmBCP0tLQldj3xdq160GQJCQd859JSzolUKlVWLp0OXcDCwKLFi2Gg7L7tc4zaOxAZmZ2yMPcZ2PlqjXoI4DhIN/fFgDNEglWBqGXEusiobfccgtqampwww03YN26dSAIAqdOncK1116LPXv2oLq6Gjt37sRNN93E1Zh5yerV66DT6VBVVRXWcVy8eBFSqSws7qroaFcwg3o08LwmiXkUEuMQNvJotnzttV+AzQl8FITQ6g6jDBdHldh57e6wtgxg0Gpd5XpkXfOcSVOAvNuVNMrlInQwKC52BdwMG2dfd6ZoCiPm7pAF6PjLypVrAAA1Qf4710slcHocj0tYT+W+//3v4+mnn0Z2djbGxsZA0zSGhobQ3t6OpKQkfPvb38YzzzzDwVD5jUwmw/bt16C5uTlsOT1WqxWXL9dgw4ZNYSlkCADr120EaRqBxBRY0rBixFWSZM2aDcEY1rzIzs5BcVEx/tkTC4rjIIN/dukglZDYsSP0uTu+WLtmPYgxgNAHPpMmB0nQFhpr1qzjfmAcEx0djZTkVAyZZheeccsA7E4bioqKQzQy/0hLS0dqcgouB1l4qqVSRKnVQTl/TnwIe/fuxb/+9S8cP34chw4dwttvv41PPvkEn332Ge69996wZvuGkp07d4Gm6bBZPTU1NbDZrNi1a3dYjg/A/eBRjAZWjFE12oKc3LywLrJ749rrdqPXJEHlCHelXyxOAp/0x2Dd+s28CNFlWLXK5VKRdAdugUm6JSBJkvNF6GBRVLwIw+auWeu2DU1aRIWF3BTG5JJVa9ajSSqB7zaE7KAA1MrlKF2xOigWOSvh+c53voPDhw+7XycmJqKkpATLly9Henq6+/2DBw/i3nvvZXOoiCAlJRWlpatw8eJFOAPIDOYCmqZx4cIF5ObmoaAgfIEc8fEJyMnNg3LM//LzhN0Eqb4Xa3k4W163biN0Gg3+wWGQwdF+DYx24NogtvOeDykpqUhKToa0J/CZtKxXhsKiYqjV/maIhJeCgkJY7EaY7BM+txkx90CnjUZiYvjXHKezatUaOOByhwWDdpKEgabdfZu4hpXw/OUvf0F5efmc25WXl+P8+fNsDhUxXH/9bhgMBtTXs2uzGygdHR0YGhrCrl27w25hrlm9FjJ9r9+12xRjbQDosJWcnw2ZTIarrr4WZ4c0GLFyc5O/3xODzIwM3kRKebJyxWpI+6VAAPMmwkyAGCGwgmclcmYjP78AgKscji/GLH3IL1gY9vvJG8XFixGlVqM6SO62aqkUEpIMWuBLQKN+9NFHMTAwMOW9U6dO4e677/b5HYPBgNraWqSlsW+XGgksW7YCqalpqKg4j0WLQmeiV1RUQKvVYXMIulfORWnpShw69Bbk4x2wJsxtfclH26HVRYc8/Ntfduy4Fu+++yd81KvF7TljrPbVqpejYVyO+26+npcPtGXLSvH++++BHCJBJfuXGkD2ke7vRgrZ2bmQSCQYMfUgI3pmqX8HZce4eRB5eTvCMLq5kUgkWLlqLSqOH4HTYgXXdk+1Qo7Fi5ciKiqwjrz+EpDwbN++Hd/85jfdrwmCwNDQEIaGZs/bkEqleOihh+Y3wgiDJElcf/0NePXVg+jp6QmJ4I6NjaG5uRk33bQXcnlo4vtnIy+vACp1FMxj7XMLD01Dpe9E6bq1vE0yTktLx+LFS/Cv1irszR4DyUIvPujRQiaVhjS5NxAWLVoCgiAg6ZP4LTySPlcYdU7OgiCPjjtkMhnS0zMxNjrg9fNxywBo0LydDAGu9uXHjn2GNgmJPCd3jRgHCQL9AHYH0fUdkPB84QtfQFpaGiiKAk3T2LdvHzZt2oQHHnjA6/YEQUChUCAjIwPR0dGcDDgS2L59B95663eoqKgIifCcP38eJEniuuvCn4gIuGZjy0qW4fSFS5igaWCWmb3UNAjYTLyfLV999XV49tlqVI8pURI7vyVdOwV82h+NNWs3hC3qcC6iojTIyc1Fc38T7LD79R1ZvwyLF5XwIiw8EHJycnGur8LrZ2NmlyCFq/+OPyxfvhISUoJqqRR5Tv+Lfs4F475jgk2CQcAOwtLSKw+Im266CaWlpVi5MjIiWUKFSqXG1Vdfh3/846/Ytm1bUB8yVqsVFy9exPr1m0LWMtkfli5djjNnTkFiHYdTGeNzO/l41+T2/KiF5Yu1a9dDpVTg417tvIXn7FAUDHYC27dfzfHouGXJ4mVo/WeLa51nDi0hTASgR1haWLAlOzsXx459Bptj5lrkuGUACoUSSUnJYRiZf6jVaixZuhTVVZW4wWoDV47bapkM2ZlZQT13Vr6NH/7wh7jttttw8eJF/O1vf5vyWWVlJZ5++umwJ1SGi+uv3wOapoMeVFFdXQ2bzYbdu78Y1OMECvMgkk10z7qdbKILCUnJvBJNbygUSqzfsAUnB3WwOOd3i3/cq0VsTDRvC2gyFBUVA07/yueQg+SV70QYmZmuQrQTXjqSTliHkJGRyVv3L8OaNesxCKCfjf/XAyOAFgmJ1WuDm0/H6q9K0zS+//3v4/bbb8evf/3rKZ/V19fjzTffxB133IHnnnuO1SAjkaSkZKxZsx4XL16E3e6fyyJQKIrC+fPnsXBhUVhDqL2RkZEJjVYH+cQsSXo0DaWhFyU8KcA4F9u27YDZAZwdDLyckd5OomI4Cpu37OC9S6qoyBUUQw7M/XiQDEgglUl5vRbii/R0RnhmrlHrbcNhrZDuL4w7rEbCTXRbrVQKGghaGDUDK+H561//ijfeeAPJycn48pe/POWza6+9Fj/84Q+RnJyMF198cYZF9Hlg9+4vwmw2z6tqtT+0tLRgdHQUu3ffGJT9s4EgCBQXLYLC0OdzG4llFLCb3Q86vlNUtAhxMTE4NhC48JwciIKTBu/aQXsjJiYWCUlJkAzNLZCSYQny8gp4W416NhITkyCVSKGfZvE4KBtMtgmkpaX7+CZ/SEhIRHZWNqo5+vtXSyWI0UVjwYJ8TvbnC1bC89ZbbyEqKgp//OMfsXfv3imfxcTE4KabbsIf/vAHKJVKvPnmm6wGCgCjo6P43//9X1x99dUoKSnB9ddfj1deeQUOx8y2SO+++y5uvPFGLF++HFu2bMEPf/hDGI1G1mMIhOLixcjNXYDz58/PmiE9XyoqKhAfn4B16/hTZsaToqJikOZREHaT189lelcORWHhzHBWPiKRSLB+41aUD2tgdAR26xwb0CIlOTnoNzRXFBYUQTY8x8Ns0h1XuDAyfr/pSCQSJCYlw2Cd2keLeZ2aGhkpIKvXrEerhATbp5sTQJ1cjpWrgx9hymrvra2tWLNmDZKTfS9CpaSkYNWqVawTKg0GA+6880688cYbyM/Px1133QWtVouf/exn+Ld/+7cpD/aXXnoJ3/rWt0BRFPbt24eioiK89tpr+OpXvwqbjbvoj7kgCAJf+MIX3bXruGRwcBDt7e3YtYsfRSa9sXDygSTTe7d6ZPpeqNRRSEvLCOWwWLFhwyY4KKBsyP8M/Qk7iYujKmzYuJWXuTveWLiwELSRdgUP+IAcIwEneOfmDYTU1FQY7WNT3jPYXK+Tk1NDP6B5sHLlalenUJbJpC0SCSw0HZSioNNh3QjOn/ULiUTCWkFffvlltLS04IknnsDBgwfxrW99C3/84x+xe/dufPbZZzh69CgAoLu7G8899xxKS0vxpz/9CY8++ihefvllPPjgg7hw4QIOHTrEahyBsnHjFuh0Os6DDM6fPw+ZTIarr76W0/1yyYIF+SAIAjKD935NCmM/CvIX8n4B15OFC4sQo9PhdADrPOVDalA0sDbIC7Zckp+/EMDsAQbksOuzvLyCkIwpGKSkpMJgG4VnBzyjzWXxJCenhGlUgZGfvxA6jRY1LMvn1EglkJCSkAS/sG4EV15eju5u35FL/f39OHv2LOtGcN3d3UhNTcWdd9455f3rr3fVu7pw4QIA4NChQ3A4HNi/f/8Uv/OBAweg0Wim1JYLBXK5HNdcswvNzc0YGxvjZJ8WiwU1NTXYvHkbtNrgNSpji1KpRHpGFmRGLxaP0wGJadhduiRSIElXxE/FiAY2P6PbTg9GIS42Fnl5keFmA1yhxiAIt7h4gxwmoYpS8zrkeC4SE5Ngd1pBTxGecSiVKmg0wcna5xqSJFG6cjXq5HKwSSOtlcmxePESqFTcFcT1BetGcFarFffddx+OHj06pTAmRVE4efIk7rvvPlgsFtx+++2sBvrzn/8cR44cmdHro6WlBQCQkOAKx2Vqx61ZM9VcVCgUWL58Oerq6kLetuDaa13lUSorKznZX3V1Nex2O3bt2sPJ/oLJwoKFUJgGZ7TDlpoGAZqKOOEBXL2XzA7g0tjcHWLtFHB+VIPVa9ZHjJsNAFQqFVLTUme1eKSjUuTl5kfUeU2HaTpIeXQjNdknkJCQGFHnVVq6EkaaRuc8vQejBIE+AihdEZp6e6ycgrt27cLp06dx6NAhHDhwADKZzC0AQ0NDsNvtoGkaN998M2688UYuxgvAFcY9MjKCf/3rX3j++eeRlpaGG264AYCrWGZCQoLXDp5MxezW1laUlIQuhDc+PgGrVq1FdXUVNm3axKpRFk3TqKysREFBIRYs4H8Ia27uAuDTj0Dapy59yoyDk5/z/xyms2TJUsikUpwbVmNl/OyFUKvHVLA4gBUr+FcAdS7ycgvQV9kLK6wzP6QAYozAgo2R9/t54hYe+oqtYHJMIDshMgILGEpKSkEAqJNKkG0L3O6pm3TTLV++guOReYe1c/2pp57Cc889h3Xr1oGmafT09KCnpwcURWH58uX42c9+hh/84AdcjNXNs88+iw0bNuCpp56CVqvFq6++6i7JMzY25rNSAPO+wWDgdDz+cN11X4DJZGIdZNHR0YGRkRHelMeZC0ZYpJNCwyA1DkCljkJiIr/67/iDQqHE4sVLcW5kblfMuWE1pFIJlkRIrpIn2dk5oA004CUeh9ATgHPSJRfBMInLlEc5botD755ARwrR0dHIzV2AOun8wqrrJRLERscgMzOb45F5h5Oso507d2LnTlcnxdHRUTidTkRHRwcttj8zMxP3338/2tra8Mknn+Cuu+7Cr3/9ayxevBgOh8NnoUzmfavVywxuFuLj2ft6r7pqE3796zRcvHgRixfPvxx+VVUVNBoNbrhhFxQKBetxBRu12lXBQGqamqQnMw+jID8fSUn8XaOajU2bN+KFqgsYsEiRpJwZzs9QORqFZSXLkJnJv54uc1FSsghvvgmQozPnp8x7y5cvRmIiP+vO+UNsrAoEQYCetHho0DDbjMjISI2481q/YT3ebm2BFUAgTwYKQKNcjs3r14XsfuS0mcPw8DB6e3sRFRWFhIQEmM3moCxU3XLLLe5/f/bZZ3jggQfwrW99C3//+9+hVCp9RtoxodSBjml42ACKg97H27dfgzff/B1GR0cRGxsb8PfNZjMaGxtx7bXXY2LCBq9TUR4SG5cAs2lqkp7MPIK0tBUYHAxPm3C25Oa6gmUujqpwdar3cxi3kWjVy7C+aElEnmd0tMsaJce9CM8YCYIgEBUVH5Hn5olWGw2L0VV/zyVANBQKTcSdV15eMZxwhUUXB9CIsockYaRpFBQs4uycSZKYdcLOSRzr4cOHsWvXLmzatAl79+7FwYMHAQAPPvggHn74YYyMjHBxGK9s374d69evR2NjIzo6OqDT6XwGDzDvh6sy8LZtO0AQBC5dujSv79fU1MDpdGLHjp0cjyy4ZGdlQ26+IjwETQEOKzIzs8I4KnZkZeVAq4nCxVHfAQaXRl0THL4XQPVFQkIi5AqFK19nGuQ4iaSU5IisWDCdmJgYdx4gY/nwqSW5vxQVFUMqkaAhwLDqxsk8wFBep6yF57HHHsOTTz6J1tZWJCUlgaZp94/Y09ODDz/8EHfddRerSDKHw4FTp07h5MmTXj9nWg+Mjo4iJycHw8PDsFhmVhDu7u4GSZLIzg6NH3M6cXHxKC1dhcuXL8+rksHly5eRm5sXUX1PACAjIwMSy9iVNyYjiJhaWZEISZJYtKgEl8d95/NcHldCLpNFTLWC6RAE4SqU6cXikU5IkZWRE/pBBYGYmBh3cAEFRngir42LQqFEQUEhWgIMXmqWSJAS4kK9rITn8OHD+Nvf/oaSkhL84x//cCdxMrz11lvYsmUL2tra8Nprr7E5FA4cOIBHH310Ssg2Q11d3eRNkoGVK1eCoiicO3duyjZWqxWVlZXIz88Pa3z+tm1XQa/Xo6OjI6DvDQ8Po6+vD9u28bOB2GykpqYDTrvL0gFA0K7fMBJqYc3GwsJi9JokGLd5v43qJlTIzy9gFcUYbjIzsiDVTxs/BWACEVFE0x+io2NATwpOJFs8AFC8aAk6SdJbHKJXKAAtchkWhTj4hZXwHDp0CFqtFi+99BLy8maGVcbHx+O5555DbGwsPvroo3kfRyqV4pprrsHIyAheffXVKZ+99dZbqK6uxrZt25CQkIDdu10lZF544YUp5XEOHjwIg8HAOp+ILatWrYFSqUJNTU1A36upqQFBENi4kf9FJqfjrnnF5EpQTshkcsTGxoVvUBywcKFrnadufKa7zeYk0KxXYGFh5LUL8CQtLR20kfZM7AdhIAAq8icODFqt1i04jOXD10Z9c7Fo0RJQANr8LKPVT5Iw0TSKi+cf8DQfWE3FmpqasH79esTExPjcRqlUYvny5Thz5gybQ+Gxxx7DuXPn8POf/xxnz57FwoULUVtbi9OnTyMjIwP/8z//AwDIy8vDV77yFbzyyiu48cYbsX37djQ1NeHIkSNYsWIFbrvtNlbjYItCocS6dRtw5sxJ7Ny50686azRNo66uDkuXLo/IhzVTeoSxdAjaiYSkpIgqleMNV0kgoFGvwNrEqYVQ24xyOKgrpWcildRUl7gQ1JVkSlLv+t2EIzw6d+UCGjQIgoBaHXgFcj5QWFgMAkCrhEShHwEGrRLXbxlq4WFdq81snj2BDnAt6rN9yCQnJ+Odd97Bbbfdhvr6erz++utob2/HPffcg3feeWdKodJvfvObePLJJ0EQBF5//XU0Njbi3nvvxcsvv+wz1DqUbNiwCRaLxe/CoQMDAxgdHcXGjZuDPLLgEB+f4Gp/7Xa1UUiZpbBspKBUKpGanII2w8xrinkv0vNcUlMnC2V6PMMIvUuEUlIio4jmXHi63mmaQpRaE7GTIrVajcyMLL8tnlaJBDqNNuS/JSuLp7CwEFVVVejv7/dZobq3txfV1dVYtIh9z5XExEQ8/fTTc25HEATuuusu3HXXXayPGQxKSkqhUqlQX1+PBQvmDhRoaGgASZJYs2ZdCEbHPTKZDDpdDMYMrkkKQTvdGeORTnZuPlqrZtYqbDXIoZDLIv7h7C6U6ZEMT+pJyBXyiF0HmU5UlKfw0FNeRyKFxYtwvLsTlNkyp2XRLpNhYdGikJcHYl2rzWQy4YEHHkBjY+OMz1taWvDQQw/BYrHg1ltvZXMoQSGTybBy5Ro0NzeDouYub9HY2Iji4iXQ6SIv0oYhLi4OmHS1gaYRFxcf3gFxRFZWNnpNElinFQztMMqRkZEVsTNnhqgoDdRR6imuNsJAICkpOaJqmc3GFOEBhShNZLrZGAoKCmGhaQzO8fuYAAzgylplKGF1V+zZswe33HILampqcMMNN2DdunUgCAKnTp3Ctddeiz179qC6uho7d+7ETTfdxNWYBcHq1WthMpnQ29s763ZjY2MYGhrC6tXB75ERTOLj4kB4rFDHxASeQMtHmMCJXvPUfJZusxJpERwu7kliYvIUi0dikiA5KTJaBviDWn2lt5LL4ols4WHWFTvncLd1TX4ejnVI1tOx73//+3j66aeRnZ2NsbEx0DTtbnyWlJSEb3/723jmmWc4GKqwKC1dCZIk0dzcPOt2zOdMb/VIJTo6xh1OzbwWAszie4/pivBQNDBoJiOmg+VcJCUmTw0uMJIRWWPPF56BBDToiA0sYMjIyIRCJkeHZPbHO/N5ONp1cJJgsHfvXuzduxeDg4Po7e0FRVFITEx0V4MWmUlUlAaFhcVobW3Fli2+Q6RbW1uRkpIa8Q8xrVbnDi4AAJ0uMmu0TYdZfO81X7mVHLTLtouUDpZzkZiYeMXioQHaSoc02TDYeFo8ADXtdeQhkUiQnZOLrrrZUza6SBJJCYnQaEIfOs6pAzoxMRElJSVYvny5KDp+sHz5CgwMDMBkMnn93Ol0orOzK2SlyoPJdKGJ1DyJ6URFaaBWKTFguWLxOCatg9lawkcScXHx7jwexvKJixOO8KhUU11toWiEFmwW5OWjWyqdtTFct0yG3DB1jw3I4mFqsN1xxx2Ijo52v/b7YFIp4uPjsXr1amRkZAT0XSFSUrIcf/jDG+jo6EBRUdGMz3t7e2G320LSijbYTHdfRHrkkCeJiUno9yiC6qBdD+dI7szpSWysRyDI5JMsLi7y8sl84Sk0NOgpQhSp5Obm4V80jWGCQKKX8lwWAIMArg5TT6+AhOeZZ54BQRC49tprER0d7X7tCVODbLaIF5Ik8eMf/xi7d++ex5CFQ15eAZRKJTo7O70KT2dnJwiCwOLFS8MwOm6ZLjSR7kf3JDEpBQP1zSAnn8oOCpCQpGACKKZUUqeZ94QjPNNLGgnB4snJceWP9UhIJDpmJpL2TkZbhivPLCDh+cY3vgGCINwXIvPaX+x2O1paWvDRRx/hueee+9wLj0QiwcKFRejunpkHAgBdXV3IyMgMiw+Wa6b7zfmQyMsVCQmJqL8oQ6LcVSHLQROIjY3xqypFJDBFQCnmvZiwjCVYkCTpTm1QKiNfeDIzs0DAJTDL4EV4JIzw5IR2YJMEJDwPPfTQrK/95eabb54zmuvzQnHxYly6VDWjOR1FUejp6cHWrTvCNDJu8ZxFEiQpmBwQwFWZQW8D4ieXeRwUgYQE4UR9TVmfo10PaSG5SgGAIEgwqioEi0ehUCI5KRm93d0AZvYn6yVJKOWKsEUnclY2t6+vD+Xl5RgaGoJcLnev5cTHz0wUXL58uWAWl9mycGERaJpGX1/flPdHRkZgtVrDktwVDDxnkaSARAe4stDOrO04QCAuXhiVGQBMSVwmKAJRmsgtKeMLiUQCp9PVSVah8N1jKZLIyMpB10C/a0FnGv2kBBmZWWGbALIWHoPBgO9973t4//33Z/SYIUkS1157Lb73ve9N6W/x5JNPsj2sYFgwubg3XXj6+/sBuNaBhIBSeeVmJgT20GImV87Jy99JEYKpzAC4Hsqu9tCuKtVCnDQmJiSip6cbNOgp12okk5GRiQvnznpxtAEDMimWh7ERIyvhsVqtuOeee3D58mVotVps2bIFGRkZk2HAnTh58iT++c9/or29HW+//bYguhVyjU4XjYSEBLfQMPT19UEulyM9XRjRfwrFlS7wwrN4XCLDhFHTgFdLP5IhSdLVC4sGtBph5GB5EhsXh+6eLgBTr9VIJj09A04Aw9PuNwuAMZoO67OFlfD87ne/w+XLl7Ft2zb87Gc/m9FgzWAw4NFHH8XRo0fx5ptv4t5772VzOMGSk5OHtrbmKe6LwcFBZGZmC2aB2nMWGcmN0bzBhBY76Ss3uJCivgDGFeUSHiEEu0zH070mFOFh2lYMTfMwMK/D2daClc/jvffeQ2xsLH7xi1947eqp0Wjwi1/8AjExMfjb3/7G5lCCJjMzCyMjI1NclSMjI8jKCk+L7mAgl1+5mdPShGHFMahUaigVcvcaDyA84WEmRQRNRHwtM294RlkKRXiYaieD04SHeZ2SEr5qKKyEp729HatWrZq1xIRarcaqVavQ1tbG5lCCJiMjCxRFudt6UxQFg8GAjIzw+WC5RiKRuK03obRE8CQmJsa9xgMIV3hAzwyNFwKeYiOXC2ONR6eLhkqpxBA51dXGvA5nyw5WwiOVSv1qBGc2mwUVPss1THkhRniY/09Li+z6bNORTVo9QsrhYYiJiYfTo5Cm0PJcXOHGAGgIIrN/Op4WuUIhjOuTIFztK0amWTwjBIlorS6sQRSshKewsBDnzp2btbR/d3c3ysvLUVgojLDgYMA025ouPJHeRGw6sknBEYorw5PomBg4cUV4hFSZAQBIj1mzUKK+PJHLrwQ+yWTCEB4ASEpOxci0NdURkkBSmOsIshKe22+/HRaLBV/96ldx8eLFGZ9XVVXha1/7Gmw2G2677TY2hxI0Wq0OSqVqhvAkCajnCQDIJ29oId3YDDpdtNvVJhFYgizgYfFAGJn905FKPYVHONG3iYlJGJl2LY5IpUgM87OFVXjRF7/4RRw7dgz/+Mc/cPvttyMlJcXtNurq6kJ/fz9omsb111+PG2+8kYvxChKXSZyEvj6X5eh0OqHVagU3s2RuaCHd2AxarQ7UZHABKZBIRE88Iy6Fdl0CU69JIUVdJiQkwErT8MywHAOBhITwVhdn/Rf+2c9+hmXLluG1115DT0/PFLdbWloa7r33Xnz5y19mexjBEx+fgJ4eV802iqIE1e+EQcjC4xnVKZQQeE881+WEuEbneU0KyVplniOMG5gCYEf4+ymxFh6CIHD33Xfj7rvvRl9fHwYGBkDTNJKSktxNskTmJj4+wV2kUKjCw6wTCPHB5Vm7TGjlZABg5crVeP/99wAIc41OSFaOJ27hmdRSCkw/pfAmOLP6a//lL39BcXGxu6R/SkoKUlKEtS4RKmJj46YIj9DCcQGAnFwnEOJNLnThyclZ4P63ENfoJBLhXZPAlbB+pmwOI0Dhfr6w+mv/7Gc/g1qtxkcffcTVeD63REfHuP9NUZRgerl4Q4iuNs/cFs+FeKHg+ZsJ8feTSoXnHgWuPFeYTqSMAIVbeFjdIQaDAcXFxVyN5XPN9LwPz6KqQsMzgkgoeJbSF6IrUejCQ5LCFB6VSgWlXOEWHEaAwj2xZSU869evR1lZ2YwClyKB41l63ttrIcCs2QrR1eYZ6bV8+YowjiQ4TI36Ep7wCPGaZIjW6UBN3nxOAAqZLOyRiaz+2l/72tfw3e9+F3v27MHVV1+NoqIiREdH+/Rx79mzh83hBM30wotarfAqADMIM+rryoJ7uNoJBxPPNRAhPqSFuC7HoIuJxdjgAACAIgjoePBsYXUF7du3z92n489//vOcYYii8Phmeo8TIfY8YRDig8sz0kvoUV9C/P2EOBli0EXHuF1s1OTrcMPqCrrxxhsFFfMeTqa3EhZayRUAYIpvC9Gf7llWX4hrPJ4WjxAf0kK2eLRardvVRgHQ8mD9mJXw/OhHP+JqHJ97pj+shNbT3hMhRhB5roEIU3hIj38Lz+IRtvDorlg8BMELN/68rqCPP/4YH330EYaHh5GWlobdu3djzZo1XI/tcwVBECBJ0p3LI8TS8wxCtHg83U9CzHOZ6moT3u8nbOHRukvmUIDX3mmhJiDhoSgK//Ef/4EPP/xwStOyw4cPY9++fXjiiSc4H+DnCUZ4CIIQpDuDQYjn5ulyFnq4sRAf0kI8JwZP7wkNfnSQDUh43nnnHXzwwQfQaDTYu3cvMjMz0djYiHfeeQe///3vsXbtWlx99dXBGqvgYRIPhb5uJuSbHBCm8HhOFkRXW2Qx3cLhQwfZgK6g9957D1KpFL///e/dZXIAYNeuXbj77rvxl7/8RRQeFjC1zIR8EwDCPz9hRn15rvEI0WIV7jU5fb2YD+vHAd0hjY2NWLVq1RTRAYA1a9agsLAQNTU1nA5uOoODg3j++edx9OhRDA8PIzo6GuvXr8cjjzyCzMxM93aHDx/Gd7/7Xa/7WLZsGQ4dOhTUcc4XqVQKq9UqyBvbE1F4Ig/R1Ra5TLdwIs7i0ev1iIvzXuMnJycHR44c4WJMXhkcHMTevXvR29uLjRs34vrrr0drayvee+89HD9+HH/84x+Rk5MDAKivrwcA3H///TNyKvhcxDQzMxt1dTVISEgM91CCipBvckCYrqiprjbhTYyE7N6e3qqcD63LA7pDHA6Hz9mcXC6HzWbjZFDeeP7559Hb24tvf/vbuO+++9zv//Wvf8Vjjz2GH/3oRzh48CAAl/DExMTg0UcfDdp4gkFSUhLq6mrCXsAv2AhdeIRo8QhdeIR8TU6PkOVDxGzE/LU//vhjxMXF4Z577pny/he/+EVkZWXhxIkT7lDkhoYGLFy4MBzDZAVTdkWIeSCeCPkmB4R5fp5iI8TzE+I5MUxvVc6H1uURMTVzOp3Yv38/pFKp1wtELpfDbrfD4XBgZGQEY2NjKCwsDMNI2cFEQ3nW/RIiQnZrAMK0eISYe+WJkK/J6QVBPSuph4uIuEMkEskMS4ehubkZLS0tyMrKglwud6/v2O12PPjgg7hw4QIsFgtWrFiBRx55BCUlJaEcekAwiYdyufDCcT9PCNEV5RnVJkSEbPFIJBIQgDuJNNyVqYF5CM/HH3+MHTt2zHh/dHQUALx+BrhmFB9//HGgh5sViqLw9NNPg6Io3HbbbQCuBBa8/fbb2LRpE26++Wa0t7fj008/xdmzZ/Hiiy9i8+bNnI6DKxiLR4hl5z0R8uwSEOZDTIhi6onQr0mCIEHTrqUIz7qC4SJg4TGZTDCZTD4/7+7u9vo+1z8sTdN48skncfr0aSxZssRtEVEUhfT0dPz7v/87brjhBvf2ZWVluPfee/Gd73wHn3zyCS8rCDMuGqHf5J5VL4SIEN1SQhRTTwQvPCThbj/KB1dwQCN4/fXXgzWOgHA4HPiv//ov/PnPf0ZmZiZ+9atfuRfkDxw4gAMHDsz4zpo1a7Bnzx68++67KCsrC8jqiY8PTcJVdLQrvl6lkiMxMfxlLbhGKnU9vGJjowR5fgxJSTpe1MPiErv9yixZiL/d8PCVcxLi+ZEkCafTCYIgeHF+AQkPHwqBms1mPPLIIzh69ChycnLw29/+FsnJyX59d9GiRXj33XfR1dUV0DGHhw2gqODP0q1W15TEbLZhcFAf9OOFGofDZeqPjZkEeX4MIyNGmM3CsuqYiFEAgvztxsfN7n8L8fwIuCw6giBCcn4kScw6YY8o+3l8fBz33HMPjh49ikWLFuGtt95CWlralG0uX76M8vJyr9+3Wq0A+Nuoi0k8FLrZL3xXW0TdVn4hxHPyROjnJ5msKC7hyXnyYxR+YLVasX//flRVVWHNmjV44403EB8fP2O7b3zjG7j77rsxMjIy47OKigoAwJIlS4I+3vkg9LUdBqELq5DrfgkVof9mycmuii06XfibwAERJDy/+MUvcOHCBZSWluKVV17x6UO/7rrrQFEUfvnLX06ZWb///vs4cuQIVq9ezdvkUuaBLHSLQOgIXViFiNB/s9hY1yRdy4OWCECE5PEMDg7izTffBAAsWLAAr7zyitftvv71r+PBBx/EsWPHcOjQIdTX12PlypVobW3FkSNHkJiYiB/+8IehHPq8EPpNIHRhFbrbRogI/TdjUjVkPKmKEhHCU1VVBbvdDgD405/+5HO7e+65BzqdDm+//TZeeOEFfPTRR3jjjTcQExODW2+9FQ8//DCSkpJCNex5I/QHs9CFVSTyEIUntESE8Fx99dXuxFB/0Ol0ePzxx/H4448HcVTcI7rahIEorJGH0H8zt/DwpEmhsGU+QhH6TSB0YRX67FmICP03Y5JG+ZA8CojCIyIiIiL4qLYrVVFE4RHxgVAtAoEbciIRjNCLoDKCI1o8Ij4Rvqst3CMQEZmK0O85JkdQFB6Rzx2M4Aj8HheJQIQuPHwrQCwKDw8RqqtNRISvCF14mOAJUXhEZsAIjlBvAoGelogAEOo9x8BYPHyJ3uPHKESmIPSbQESEbwj9nmMsHb54U0Th4SF8uTiChcBPTyQCEbrwMM0J+XKeovDwEL5cHMFC4KcnEoEI/Z7jW7g4v0YjIiIiEgaELzwui8ezoV84EYWHhwjd1SYiwj+ELTx8CSpg4NdoRAAIf/YlIiISWvhWEohfoxEREREJA0Kf7PHt/ETh4SFCd7UJ/PREIhCePZc5h2/PFFF4eAjfZidcI/DTE4lIxIsylIjCIyIi8rlH+JM9fp2fKDw8hG9msYiI0OHZczlo8EWAROEREREREQkpovDwCL7MRoJFRkYmAP70fRcRuYKw7z0GvnhT+NEVSGQKfLk4uObuu7+K/PxCZGZmh3soIiJTEPqkj4Ev5ykKDw/hy8XBNbGxcfjCF24I9zBERGYg1HuOr4iuNhEREZHPCXzxpojCw0P4cnGIiIgIC75YdqLw8BC+XBwiIp8XxHsutIjCw0NEi0dERCQY8OXZIgqPiIjI557Pi8XDl/MUhYeH8OXiEBEREQZ8sXQYROHhIXy7SERERES4RBQeHiJaPCIiIkJGFB4RERERgcO3yawoPCIiIiKfE/jixheFR0RE5HMP3yyCYMGX8xSFR0RERGQSjUYb7iF8LoioIqGDg4N4/vnncfToUQwPDyM6Ohrr16/HI488gszMzCnbvvvuu3jttdfQ1tYGnU6HXbt24eGHH0ZUVFSYRu8/fDGHRUQ+LxAEgVWr1mLnzl3hHkpQ4cuzJWIsnsHBQezduxd//OMfkZeXhy9/+ctYunQp3nvvPdx6661oa2tzb/vSSy/hW9/6FiiKwr59+1BUVITXXnsNX/3qV2Gz2cJ3En7CF3NYROTzAkEQ+M53nsTKlavDPZSgwpdnS8RYPM8//zx6e3vx7W9/G/fdd5/7/b/+9a947LHH8KMf/QgHDx5Ed3c3nnvuOZSWluKNN95wNx179tln8atf/QqHDh3Cvn37wnUaIiIiIp97Isbi+fjjjxEXF4d77rlnyvtf/OIXkZWVhRMnToCiKBw6dAgOhwP79++f0unywIED0Gg0OHz4cKiHHjB8MYdFRDzR6aKRk5Mb7mGIsIAvz5aIsHicTif2798PqVQKkpyplXK5HHa7HQ6HA+Xl5QCANWvWTNlGoVBg+fLlOHHiBPR6PbRa/i4i8sUcFhHx5Kc/fVZsWx7h8OXZEhHCI5FIZlg6DM3NzWhpaUFWVhbkcjk6OjqQkJDgNYggPT0dANDa2oqSkpKgjllERGgkJCSGewgi84Qvlg5DxLjavEFRFJ5++mlQFIXbbrsNADA2NubTmmHeNxgMIRtjIEilrnmAQqEM80hERESERF5ePgCgtHRlmEfiIiIsHm/QNI0nn3wSp0+fxpIlS9wWkcPhgFwu9/od5n2r1RrQseLjNewG6ye7d1+L5uY63Hffl5GYyF9XoIh3fvKTn6C+vl787UR4R2LiSvzjH//gzRJDRAqPw+HAf/3Xf+HPf/4zMjMz8atf/cotKkqlEna73ev3mFBqlUoV0PGGhw2gqNCYqvff/xAAYHBQH5LjiXBHXt5i5OUtFn87Ed5isYTm2iRJYtYJe8QJj9lsxiOPPIKjR48iJycHv/3tb5GcnOz+XKfTQa/3/sdl3ueL6ouIiIh8HomoNZ7x8XHcc889OHr0KBYtWoS33noLaWlpU7bJycnB8PAwLBbLjO93d3eDJElkZ2eHasgiIiIiItOIGOGxWq3Yv38/qqqqsGbNGrzxxhuIj4+fsd3KlStBURTOnTs34/uVlZXIz8+HRhOaNRsRERERkZlEjPD84he/wIULF1BaWopXXnnFp3js3r0bEokEL7zw/9u796CoyjeA41/l4gXyihneFV2gUBTNNCRb8YpSQSp5B2tMA3Es0EzN0SkltckBQScHZzQrhMIcy8QUryRihV0INRFCSgkCBwwUV8/vD4b9ubIquwtnoZ7PDH/sed8953ngLM+e877nnM0Gt8fZunUr169fJygoSK2QhRBCGNFMaWwTvI0oKipCq9Vy69YtXnzxRZydnY32mzdvHi1atGDjxo1s27YNFxcXtFotFy9e5OjRo3h5ebFjx477znq7HzUnFwghRFP3sMkFTaLwHDp0iNDQ0If2O3PmDG3atEFRFD755BM++eQT8vPz6dSpE2PGjCEsLMysiQVSeIQQou7+FYXH2qTwCCFE3T2s8DSZMR4hhBD/DlJ4hBBCqEoKjxBCCFVJ4RFCCKGqJnfLHGto3rxxPMNCCCGagof9z5RZbUIIIVQlp9qEEEKoSgqPEEIIVUnhEUIIoSopPEIIIVQlhUcIIYSqpPAIIYRQlRQeIYQQqpLCI4QQQlVSeIQQQqhKbpljpqysLHbv3k1GRgZXrlzBxsYGjUaDv78/QUFB2Nr+/1fr6upa5/WuW7eOwMBA3nzzTfbs2WO0T+vWrXFycmLYsGGEhYXRuXNnfdvp06eZPXs2AQEBREVFmZ+gCWJiYti8eXOt5ba2tjg6OqLRaJg8eTLPP//8fdcRHh7O77//zt69exsyVLOYk5+iKHz66ackJSWRk5ODjY0Nrq6uzJ07l7Fjx6oZ/kOZm9/evXvZuXMnubm5tGrVihEjRhAeHk63bt3UDP+h6mP/zM7OZvLkyfj7+6v2uaoLc3LLz89nzJgx913nTz/9RIsWLRokXn18Dbr2f6E7d+4QExPDli1bsLOz45lnnkGr1VJeXs7JkydZs2YNBw4cYNu2bbRs2RKAsLAwg3X88ccf7NmzBzc3N0aPHm3Q5u7ubvA6ICCArl27GiwrKiri22+/JTExkRMnTpCcnEyHDh0aIFvT+Pr6GsSv0+koKSnh66+/ZsmSJVy6dInFixfXel98fDwpKSm4ubmpGa7JTMlv5cqVJCUl0b17d6ZMmUJVVRUHDx5k4cKFvPnmm4SEhFgrjfsyJb9NmzaxdetW+vTpw9SpUykpKWH//v0cOXKExMREevfuba007svc/VOn0/HWW2+h0+nUDNckpuR27tw5APz8/OjTp0+tddnY2DR8wIowSWxsrKLRaJSpU6cqV69eNWi7efOm8sYbbygajUZZtGjRfdeRnp6uaDQaZenSpffts3TpUkWj0Sjp6elG22/evKmEhIQoGo1Gef/9901ad32Ljo5WNBqN8vnnnxttz83NVQYOHKi4u7srBQUF+uU6nU557733FI1Go2g0GuW5555TK2STmJpfZmamfh+pqKjQ9ysqKlJ8fHwUDw8PpbCwUK3wH8rU/HJychSNRqNMmTJFqaqq0vc7fvy4otFolIULF6oVep2Yu3/W2LJli34fVfNzVRfm5FbznuzsbDVDNSBjPCbIzc0lLi6ODh06sG3bNoNTXAD29vasW7eOrl27cuDAAXJychosFnt7e+bNmwfAqVOnGmw79aFXr174+vpy+/ZtTp48CVSfqgwMDCQ+Pp4RI0ZYOULL3JvfwYMHAZg/fz6tWrXS93NycuKll16iqqqK9PR0a4VrsnvzO3fuHM7OzsydOxc7Ozt9Px8fH9q2bcvZs2etF6wZjO2fNXJycoiNjWXkyJFWis4yxnI7f/48dnZ2uLi4WC0uOdVmgi+++IJbt24xY8YM2rRpY7SPnZ0dK1eupLS0lPbt2zdoPB07dgSgqqqqQbdTH2qK9LVr1wBITU0lPz+fiIgI5s6dy+OPP27F6Cx3d37e3t60atWK/v371+pnb28PQEVFharxWeru/IKCgvDz86vVp7i4mLKyskY3xlMX9+6fUH1affny5XTt2pXQ0FCOHTtmpegsc29u58+fp3fv3gZfGtQmhccEJ06cAKq/2T2IVqtVIxx9PI19bASqBzTh/x8CrVbLtGnTcHJysmZY9ebu/Ly9vfH29jba79ChQwD07dtXtdjqw71/v7tVVlby008/6Qfda47EmxJj+e3cuZOzZ8+ya9cu/ReGpuju3CoqKrh8+TJDhw5l9erVHDt2jOLiYlxcXAgJCeG5555TJSYpPCa4evUqUH34ai23b9+mpKSE1NRUoqOjsbOza/Qf9J9//pnU1FRatmzJM888A4CHh4eVo6o/xvIzZs+ePWRmZqLRaPDy8lIxQss8KL97Z0gtW7aM8ePHqx2iRYzld/nyZTZt2kRQUBBDhgwhOzvbylGa597cLly4gKIonD59mmvXrjFu3DhKS0tJTU0lMjKSvLw8wsPDGzwuKTwmKCsrA8DBwUG1bc6ePfu+bT169GDVqlVWPVd7t0OHDvHHH3/oX+t0OnJzczl69Kh+ZlBjmH1nLkvy+/bbb3n77bexs7PjnXfeoXnzxje8ak5+Op2O4OBgKisrSU1NJSoqin/++YfQ0FC1w38oU/JbsWIFbdq0ITIy0lrhmqSuuWVlZdG7d2+8vb1Zvny5fj8sLCxk2rRpxMXFMXbs2AY/iyKFxwTt2rWjqKiIsrIy1f6B1kynVhSFwsJC9u/fT1VVFUuWLGH27Nk0a9Z4Hst9+PBhDh8+rH9tZ2dHu3bt8Pb2ZsaMGU1+EoG5+R05coRFixah0+lYv349np6eaoVsEnPy69OnD8uWLQNg8eLFTJs2jejoaHx8fBgwYIBqsddFXfNLTEwkPT2duLg4HB0drRWuSeqam4+PDwcOHKj1/s6dOxMaGspbb73FV199JYWnMenevTtFRUX8/vvvDyw85eXlVFZW8uijj1q8zYCAAJ566in963nz5jF9+nSioqLo1KmT0UFea6m5+PXfypz8kpKSWLVqFc2aNSMqKgp/f/8Gis5ylv792rdvz2uvvUZkZCSHDx9udIWnLvkVFhayfv16xo8fj6+vr0qRWa4+PntPPPEEAAUFBfUR0gM1vuP9RqxmUkFaWtoD++3evRsfHx82bdpU7zH07NmTjRs3oigKS5cu1V8MJhqfrVu3smLFCmxtbYmOjn7glfFNyW+//ca+ffu4efNmrbYuXboAUFpaqnZY9SItLY3y8nIOHDiAq6ur/ueFF14AqsfpXF1diYmJsW6gZsrPz+fUqVNUVlbWartx4wZAg9+1AKTwmMTf3x87Ozt27dpFeXm50T6VlZUkJSUB3Hdmk6WGDx/OzJkz9afcGvMV1f9VO3fu5IMPPsDR0ZHt27c3qW/PD7Njxw4iIiKMfgE7f/48UD3+2BS5u7sTFhZW6ycoKAionkEaFhbG0KFDrRypeTZv3kxwcLB+Ruzdvv/+e0CdiT9SeEzQvXt3goODKS0t5ZVXXuGvv/4yaC8vLyciIoK8vDy0Wi1PPvlkg8Xy+uuv06VLF86fP8/27dsbbDvCdFlZWbz33nvY29uzfft2hgwZYu2Q6tWECRMAiI6O1n9LhuqZYHFxcbRo0YJJkyZZKzyLuLu7s3Dhwlo/06ZNM2i/+/R3U1Iz4zA2NtbgWrJLly7x4Ycf0rZtW1X+djLGY6LFixfz999/k5ycjK+vL88++yw9evSgsLCQtLQ0SkpK8PLyYv369Q0aR+vWrVm5ciULFiwgNjaWCRMm0L17d337iRMnmDVrltH3enl5Gb0nlagfMTEx6HQ6nnjiCY4fP87x48dr9fHx8WHgwIHqB1cPvL29CQwMJDk5mYkTJzJq1CjKy8s5ePAgN27cICoqiscee8zaYQojRo0axaRJk/jyyy+ZNGkSo0aNoqysjG+++YaqqipiYmJo165dg8chhcdENjY2rFu3jokTJ5KQkMC5c+c4duwYtra2uLq6smjRIqZMmaLKjfZGjRrFuHHjSElJYdWqVQZHPsXFxRQXFxt93yOPPNLgsf2X1ZyyyMrKIisry2ifRx55pMkWHoC1a9fi4eFBQkICn376KS1btmTIkCG8+uqrDB482NrhiQfYsGEDnp6eJCUlkZCQQKtWrRg6dCihoaGqTQhppiiKosqWhBBCCGSMRwghhMqk8AghhFCVFB4hhBCqksIjhBBCVVJ4hBBCqEoKjxBCCFVJ4RGiiWhsVz40tnhE0yGFRwgznT592uBGknf/eHh4MGzYMGbNmsXu3bu5ffu22du5ffs2H3/8MevWrTNYHhMTg6urK3FxcZamYpK8vDxefvllg+e/CGEKuXOBEBZq3bp1rZuA6nQ6SkpK+P7778nIyCAtLY3o6Giz1r9//37WrFlDQEBAfYRrsVdffZW8vDxrhyGaMCk8Qlioffv2bNy40WhbdnY2M2fOJCUlhW+++cbgMdF1defOHaPLZ8yYgZ+fn+pPdb1fPELUlZxqE6IBubu7M3XqVAAOHjxYr+vu0KEDLi4utG/fvl7XK0RDk8IjRAPr1q0bACUlJfplOTk5rFixgjFjxuDp6Ymnpyfjx49n/fr1lJWV6fvNmjWLJUuWALUfQvagMZ59+/Yxffp0vLy8GDhwIJMnTyYpKanWhIDk5GRcXV3ZtWsX3333HcHBwQwePJhBgwYRHBzMmTNn9H1rxrTy8/MB8PX1xdXVtZ5+S+K/RAqPEA3s4sWLADg7OwOQkZFBYGAgSUlJtG3blpEjRzJgwAAKCgqIj48nJCREfzrr6aefZtCgQUD186D8/f0f+s9++fLlREREkJ2dTf/+/Rk2bBi5ubmsWLGCyMhIo7PRTp48yezZsykoKGD48OE4Oztz6tQpQkJCOHv2LABOTk74+/vTunVrAEaPHt2oH+UtGi8Z4xGiAWVkZOifSDtx4kQA1qxZw40bN4iNjWX06NH6vvn5+UyePJlffvmFzMxMBg8ezIIFC+jSpQuZmZkMGTKEqKioB24vKSmJzz77DHd3d7Zs2aIvdiUlJcyfP599+/bx5JNP6p+oWePIkSPMnz+f8PBwbGxs9I9W37t3Lzt27GDgwIG4uLiwceNGxowZQ35+PsuWLdMfzQlhCik8QliotLSUiIgIg2VVVVXk5eXpHwU9c+ZMhg8fzvXr1/Hw8GDQoEEGRQeqHxc9bNgwUlJSuHLlilmxxMfHAxAVFaUvOlA9HvTuu+8yadIktm/fXqvwODs7s2jRIpo3rz4J0qxZM6ZPn87evXv1R2xC1BcpPEJYqKKign379hkss7e3p0OHDmi1WgIDAxk7diwAjo6OtY5aFEXhzz//5Ndff+Xy5csA3Lp1y+Q4/vrrL3Jzc2nXrh1ubm612vv160fnzp3Jy8ujqKiITp066dv69++vLzo1nJyc9PkJUZ+k8Ahhoa5du5KammrSe86cOUNiYiK//vor+fn5VFVVAdVHGmDeXQGuXr0KwLVr1x46DnTlyhWDwmPsqbS2trZmxyLEg0jhEUJlq1atIiEhARsbG9zd3fH396dfv34MGjSI3bt3k5ycbNZ6a+6O0LFjR55++ukH9nVwcDB4XVPwhFCDFB4hVJSRkUFCQgLdunUjPj6eXr16GbTXjNGYo+YIxsHB4b4XtArRGMh0aiFU9OOPPwLg5+dXq+hUVlbyww8/AIZ3B6jr0Ui3bt1wdnamoKCAnJycWu1///0348aNIzg4mH/++cfMDOToSFhOCo8QKqqZaZaWlsbNmzf1y8vLy4mIiKC4uBjAoK1Fixb6Pg8zZ84c7ty5Q2RkJH/++ad+eWVlJcuWLSMvLw8HB4dap9pMURPP9evXzV6H+G+TU21CqEir1dKjRw+ysrIYPXo0np6e+iOdiooK+vbty8WLF/UFCKBnz54ApKamMn/+fLRaba3p0DXmzJlDZmYmKSkp+Pn50b9/fxwdHTl79iwlJSX06tWL1atXW5RDz549uXDhAuHh4bi5ubF27VocHR0tWqf4b5EjHiFU5ODgwEcffURAQAC2trYcPXqUrKwsvLy82LZtGxs2bACqL+is4ebmxhtvvEHHjh1JS0vTn44zpnnz5mzatIm1a9fi7u5OVlYW6enpODk5sWDBAhITE/XTpM21ZMkSBg8ezNWrV0lPT6egoMCi9Yn/nmaKzJUUQgihIjniEUIIoSopPEIIIVQlhUcIIYSqpPAIIYRQlRQeIYQQqpLCI4QQQlVSeIQQQqhKCo8QQghVSeERQgihKik8QgghVPU/KBhzIsQsuyAAAAAASUVORK5CYII=\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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\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",