{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "import pandas as pd\n",
    "import json\n",
    "import nibabel as nib\n",
    "import numpy as np\n",
    "\n",
    "from src.database import *\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('custom_matplotlibrc')\n",
    "plt.rcParams[\"figure.figsize\"] = (20,5)\n",
    "fig_id = 0\n",
    "\n",
    "import seaborn as sns\n",
    "\n",
    "# Set the color palette\n",
    "pal=sns.color_palette(\"Set2\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configurations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "database_path = Path('databases/3T_human_T1maps_database.pkl')\n",
    "output_folder = Path(\"plots/08_wholedataset_scatter_Human/\")\n",
    "\n",
    "estimate_type = 'mean' # median or mean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:20: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "<>:22: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "<>:20: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "<>:22: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "/var/folders/l1/1xswjffd73l8yp7dd7pq9lyw0000gn/T/ipykernel_36138/4101298702.py:20: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "  if y_type is 'site':\n",
      "/var/folders/l1/1xswjffd73l8yp7dd7pq9lyw0000gn/T/ipykernel_36138/4101298702.py:22: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "  elif y_type is 'meas':\n"
     ]
    }
   ],
   "source": [
    "def plot_single_scatter(x, y, y_std,\n",
    "                        title, x_label, y_label,\n",
    "                        file_prefix, folder_path, fig_id,\n",
    "                        y_type):\n",
    "    \n",
    "    intra_bool = np.array([], dtype=bool)\n",
    "    for ind in x:\n",
    "        if round(np.double(ind))==9:\n",
    "            intra_bool = np.append(intra_bool, True)\n",
    "        else:\n",
    "            intra_bool = np.append(intra_bool, False)\n",
    "        \n",
    "    plt.errorbar(x[~intra_bool][0:-2],y[~intra_bool][0:-2], y_std[~intra_bool][0:-2], fmt='o', solid_capstyle='projecting', color=pal.as_hex()[0])\n",
    "    plt.errorbar(x[intra_bool],y[intra_bool], y_std[intra_bool], fmt='o', solid_capstyle='projecting', color=pal.as_hex()[1])\n",
    "    plt.errorbar(x[-1],y[-1], y_std[-1], fmt='o', solid_capstyle='projecting', color=pal.as_hex()[0])\n",
    "\n",
    "    plt.title(title)\n",
    "    plt.xlabel(x_label)\n",
    "    plt.ylabel(y_label)\n",
    "    if y_type is 'site':\n",
    "        plt.xticks(np.arange(0, np.max(x), step=1))\n",
    "    elif y_type is 'meas':\n",
    "        plt.xticks(rotation=90)\n",
    "    fig = plt.gcf()\n",
    "\n",
    "    ax = plt.gca()\n",
    "    \n",
    "    folder_path.mkdir(parents=True, exist_ok=True)\n",
    "    \n",
    "    if fig_id<10:\n",
    "        filename = \"0\" + str(fig_id) + \"_\" + file_prefix + \"_\" + str(y_type)\n",
    "    else:\n",
    "        filename = str(fig_id) + \"_\" + file_prefix + \"_\" + str(y_type)\n",
    "\n",
    "    fig.savefig(folder_path / (str(filename) + '.svg'), facecolor='white')\n",
    "    fig.savefig(folder_path / (str(filename) + '.png'), facecolor='white')\n",
    "    fig_id = fig_id + 1\n",
    "    plt.show()\n",
    "    return fig_id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_both_scatter(x1, x2, y, y_std,\n",
    "                      title, x1_label, x2_label, y_label,\n",
    "                      file_prefix, folder_path, fig_id):\n",
    "    \n",
    "    plt.rcParams[\"figure.figsize\"] = (20,10)\n",
    "\n",
    "    fig, axs = plt.subplots(2)\n",
    "    fig.suptitle(title)\n",
    "    axs[0].errorbar(x1, y, y_std, fmt='o', solid_capstyle='projecting')\n",
    "    axs[0].set_xlabel(x1_label)\n",
    "    axs[0].set_ylabel(y_label)\n",
    "    axs[0].set_xticks(np.arange(0, np.max(x1), step=1))\n",
    "\n",
    "\n",
    "    axs[1].errorbar(x2, y, y_std, fmt='o', solid_capstyle='projecting')\n",
    "    axs[1].set_xlabel(x2_label)\n",
    "    axs[1].set_ylabel(y_label)\n",
    "    axs[1].set_xticklabels(labels=x2, rotation=90)\n",
    "\n",
    "\n",
    "    if fig_id<10:\n",
    "        filename = \"0\" + str(fig_id) + \"_\" + file_prefix\n",
    "    else:\n",
    "        filename = str(fig_id) + \"_\" + file_prefix\n",
    "\n",
    "    fig.savefig(folder_path / (str(filename) + '.svg'), facecolor='white')\n",
    "    fig.savefig(folder_path / (str(filename) + '.png'), facecolor='white')\n",
    "    fig_id = fig_id + 1\n",
    "    plt.show()\n",
    "    return fig_id"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_pickle(database_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initialize variables, store mean and standard deviations of T1 in the ROIs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:14: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "<>:23: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "<>:14: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "<>:23: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "/var/folders/l1/1xswjffd73l8yp7dd7pq9lyw0000gn/T/ipykernel_36138/2637949668.py:14: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "  if estimate_type is 'mean':\n",
      "/var/folders/l1/1xswjffd73l8yp7dd7pq9lyw0000gn/T/ipykernel_36138/2637949668.py:23: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "  elif estimate_type is 'median':\n",
      "/Users/mathieuboudreau/opt/anaconda3/envs/analysis_arm/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3464: RuntimeWarning: Mean of empty slice.\n",
      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
      "/Users/mathieuboudreau/opt/anaconda3/envs/analysis_arm/lib/python3.8/site-packages/numpy/core/_methods.py:192: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  ret = ret.dtype.type(ret / rcount)\n",
      "/Users/mathieuboudreau/opt/anaconda3/envs/analysis_arm/lib/python3.8/site-packages/numpy/core/_methods.py:269: RuntimeWarning: Degrees of freedom <= 0 for slice\n",
      "  ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n",
      "/Users/mathieuboudreau/opt/anaconda3/envs/analysis_arm/lib/python3.8/site-packages/numpy/core/_methods.py:226: RuntimeWarning: invalid value encountered in divide\n",
      "  arrmean = um.true_divide(arrmean, div, out=arrmean,\n",
      "/Users/mathieuboudreau/opt/anaconda3/envs/analysis_arm/lib/python3.8/site-packages/numpy/core/_methods.py:261: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  ret = ret.dtype.type(ret / rcount)\n"
     ]
    }
   ],
   "source": [
    "genu_estimate = np.array([])\n",
    "genu_std = np.array([])\n",
    "splenium_estimate = np.array([])\n",
    "splenium_std = np.array([])\n",
    "deepgm_estimate = np.array([])\n",
    "deepgm_std = np.array([])\n",
    "cgm_estimate = np.array([])\n",
    "cgm_std = np.array([])\n",
    "\n",
    "intra_bool = np.array([])\n",
    "ii = 0\n",
    "for index, row in df.iterrows():\n",
    "    intra_bool = np.append(intra_bool, round(index)==9)\n",
    "    if estimate_type is 'mean':\n",
    "        genu_estimate = np.append(genu_estimate, np.mean(df.loc[index]['T1 - genu (WM)']))\n",
    "        genu_std = np.append(genu_std, np.std(df.loc[index]['T1 - genu (WM)']))\n",
    "        splenium_estimate = np.append(splenium_estimate, np.mean(df.loc[index]['T1 - splenium (WM)']))\n",
    "        splenium_std = np.append(splenium_std, np.std(df.loc[index]['T1 - splenium (WM)']))\n",
    "        deepgm_estimate = np.append(deepgm_estimate, np.mean(df.loc[index]['T1 - deep GM']))\n",
    "        deepgm_std = np.append(deepgm_std, np.std(df.loc[index]['T1 - deep GM']))\n",
    "        cgm_estimate = np.append(cgm_estimate, np.mean(df.loc[index]['T1 - cortical GM']))\n",
    "        cgm_std = np.append(cgm_std, np.std(df.loc[index]['T1 - cortical GM']))\n",
    "    elif estimate_type is 'median':\n",
    "        genu_estimate = np.append(genu_estimate, np.median(df.loc[index]['T1 - genu (WM)']))\n",
    "        genu_std = np.append(genu_std, np.std(df.loc[index]['T1 - genu (WM)']))\n",
    "        splenium_estimate = np.append(splenium_estimate, np.median(df.loc[index]['T1 - splenium (WM)']))\n",
    "        splenium_std = np.append(splenium_std, np.std(df.loc[index]['T1 - splenium (WM)']))\n",
    "        deepgm_estimate = np.append(deepgm_estimate, np.median(df.loc[index]['T1 - deep GM']))\n",
    "        deepgm_std = np.append(deepgm_std, np.std(df.loc[index]['T1 - deep GM']))\n",
    "        cgm_estimate = np.append(cgm_estimate, np.median(df.loc[index]['T1 - cortical GM']))\n",
    "        cgm_std = np.append(cgm_std, np.std(df.loc[index]['T1 - cortical GM']))\n",
    "    else:\n",
    "        Exception('Unsupported dataset estimate type.')\n",
    "    ii = ii +1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Store the IDs\n",
    "indexes_numbers = df.index\n",
    "indexes_strings = indexes_numbers.map(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_id = plot_single_scatter(x=indexes_numbers,\n",
    "                             y=genu_estimate,\n",
    "                             y_std=genu_std,\n",
    "                             title='WM - Genu',\n",
    "                             x_label='Site #',\n",
    "                             y_label=\"T$_1$ (ms)\",\n",
    "                             file_prefix=\"WM_genu\",\n",
    "                             folder_path=output_folder,\n",
    "                             fig_id=fig_id,\n",
    "                             y_type='site')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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m53nMrnOYMfadx+w4hx1v8ODBxrKOrdE4Z86cCssVFhaaqVOnmqSkJNOuXTuzbds2tzKe/F3bfR4zJnzvyew4l4XrPVk4nsuMse98dsYZZxjLskyzZs1cZqcWFhaa6dOnl51zLOvYwPfKfj75+fmmZ8+eFb5vStl9LgvX85gxfLY8Hp8t/X8eC6SGDRva3YVagwA1YIPKZoc98cQTfg+seHrRjo6ONg6Hw7z22mseH8v3339vmjdvbs4//3xTUFBQtt3bm6LSmZbbt2+vsMzpp59uHI5jIyar8tVXX5mbb77Zo7ZLffDBB6Zhw4bm7rvvNoWFhZWW3b9/f8AeVB0fVLzgggs83t/MmTPN1Vdf7VHZhQsXGsuyTLdu3cy+ffvcXj/llFM8bteYYyNk69evX2U5u2787fy7svPDTrh+0LHjgY2dv+dwfX9zvbTvemlM8K6Z4XitLOXpQ4TjVfRAIS4uzlx88cWVjtov1aRJk0pf//nnn8vS3zkcDjNjxowq9+npB/ikpCSvZwx27NjRbduePXtMp06dTGxsrPn111+r3EfpIC3OY5Xzx3ks3M5hpew6l9l5HrPrHGaMfecxu85hpUrvya699lqPyu/cudMMGDDApKammh9//NHlNU//ru08jxnDPVkwz2Xhek8WjucyY+w7n5XOlH733XfLfb00DbDD4VnQ+6233jLPPfdcleXC8Z7MmNA4jxnDZ0tj+GwZiPNYoOTm5lbrcwFcWcYct+I7ADf5+fn69ttv/ba/rKwsPf3001q+fLmKi4vdXj969KhatmypnJwcDRkyRMnJyT61U1JSoq1bt+qrr76SZVnltnWi+vXr68iRI/ruu+/Uo0cPj9vauXOnzjnnHKWmpmru3LmKjY3Vxo0bdfLJJ3vcdlJSknJycuR0Oiss880336hfv37avHmz2rRpU+n+vvzyS02YMEGrVq3y+DgkKTMzU9dcc4327t2rf/3rX+rcuXO55Q4cOKCGDRt6fHzlcTgcsixLHTt21IYNG8q2N2vWTJmZmbIsS8uWLVPfvn092t9XX32l8ePHKyMjw6PyF154oebOnav27dtr9uzZLsc6dOhQvfvuuzrppJM82tf777+vBx54QBs3bqyy7F//+lc98MADHu3XU1X9Huz8u5LsOWZJiomJkdPp1CuvvKJx48Z5tN9Vq1Zp1KhR6tGjh2bNmqXIyEhJ8vpvOioqSkVFRdq6datatmxZbpmBAwdq2bJl+uijj3TeeedVur+vv/5aM2bM0AsvvODRcUjShx9+qJtvvlnXXnutnnjiCUVERFRY1h9/03b9nsP1/c310t7rpRSca2a4Xiul34/9xx9/VIcOHTyqc7xNmzZp1qxZev/99/XDDz9I8uxvKyUlRVu3blV0dHS5rw8ePFgLFy6UZVnq0aOHvvvuu0r39+uvv6p79+7at29flX1u3bq1tm3bVmW5Uvv371fHjh114MABt9c2b96sU089VWPGjKny2vHJJ59oxIgRHrfrCc5j5Qu3c1gpO89ldp3H7DqHSfadx+w6h5Uqvf/++OOPNWzYMI/qFBUV6YYbbtAnn3yizz77TN27d5fk+b2/3feh3JMF71wWrvdk4Xguk+w7n5Wexw4cOKD69euXW+bee+/V008/ra+++kp9+vSpdH+rVq3SY489pjlz5lRaLhzvyaTQOY9JfLbks6X/z2OB8uSTT+qBBx7w+XMBXFX8pBaApGMf2EaPHq2DBw/6bZ/GGFmWVe5r8fHxuuuuu7R//349++yz1W7rlVde0U033eRR2bZt22rNmjUqKSnxqo3mzZtryZIlGjJkiIYMGaJPP/3U636mp6fr66+/VnZ2thITE8st07t3b/Xo0cOji/W33/5/e/cdFsXV/g38nqGpNJFmwxqxxQZWNMYajSgaY4nGxN7iL4ZEjTGWWOITu4nGGjSWGDRqMJbHaMQSu8ZeEVSMERREBKUpcL9/5N19WFlgd4E9C+f7ua69LtmdOd+5z46HYc/OzBl6+PCh0dtRvnx52r9/Py1evJjeeOMNmjZtGgUGBhrdjqGYmZKTkyklJYVKlixJkZGR2oOi1157zeCDIiKiQ4cO0T///GPw8j/88AOdPXuWwsPDydfXlz777DP65JNPyNPTkzp37kz79u2jfv365dnO5cuXacyYMdS9e3eDcseOHUsLFy4s0AP/vIj8f0Ukpmaif/+4e/HiBTVs2NDgDB8fHzp+/Dh17tyZunbtqv1Dx1ilSpWipKSkHCeniYjmzZtHfn5+VLt27Tzby8jIoFOnThm1De+++y61aNGCBg0aRI0bN871j5yCIOp9lnX/xu9Lsb8vicz3O1PG35UFwdvbm6ZMmUJTpkzRfqCwbdu2PNerV68e7d69m3r16pXttalTp2o/QHB3d6fbt2/Ttm3b9C6rsXDhQqpXr55B21y2bFm6cOGCdoIkLwsXLszxd1SNGjVo9uzZNHnyZPruu+/IxsYmx3b8/f3J19eXUlJSaObMmfkex/7zn/9QZGRknsvLOI7JOIZpiBrLiuo4ZuoYRiRuHBM1hmm4uLhQbGwsVapUyaB8IiJra2v68ccfacKECdSuXTvas2cP+fn5Gby+6ONQHJOZdyzDMZnxiuJYRiRuPPPw8KBHjx7lODlNRDR+/HhasmSJQWPdgwcPdCYicyLjMRmR5YxjRPjb0pLHMaKi+bclEVFsbCy1aNHC6P9fOXn69CklJCQUSFvw/4k7eRug6DD3pV4SExN5yJAhBbLtaWlpbG1tbdCyU6dOZVVVeePGjSZlJSQkcMuWLdnHx4ePHj1q1CVXli1bxqqq5nmPm19//VXn8jX6pKWlsZeXF9vZ2Rm87fpcvnyZ69evz+3ateMHDx7ovFYQl/q7efMmDx48mO3s7NjNzY3/85//8Jo1a7TtGnppNmbme/fusbOzM9va2hq1DZcvX+YyZcpoM+3s7DggIIDHjRvH1apVy/W+H+Hh4Txu3DguWbIkW1lZ8dmzZw3O/frrrzkwMNCobc3J6tWrDXofRP2/0hBRs4+PD6uqatR7oxEbG8uNGjXili1bcmJiotGXimrVqhWrqspPnz7NdbnGjRtzfHx8nu0tWLCAy5UrZ1C2PosWLWIXFxdevHix3tcL4v80s5j3mVnO/ZsZvy9zY87fl8yF9ztT5t+VmrxXL7ta2FauXMleXl58/vx57XNxcXE8fPhw7eWrS5QowceOHeMNGzawjY0Nz549m1NTU3XaSUtL45kzZ7Kqqrx06VKDshcsWMC1a9fm69ev57pcamoqT5kyha2srLhLly45LpeRkcE1a9Y06HYPu3bt4vHjxxu0nXm5dOkSxrEcyDaGaYgey0SMY6LGMGZx45jIMYyZuUuXLqyqKoeGhhq0/KtmzJjBDg4O/Mcffxh17C/yOBTHZLoKcywTPY4xYyxjLv7HZH379s3zktPMzH369OHExMRcl2FmHjFiBLu4uOS5HLN8x2TMljmOMeNvy5zgb0vjxjGN3r17a+s35+2cwDCYoAYwwLNnz7hMmTJsZ2fH3bp140GDBpn0+PDDD7lVq1YGDWTz58/nZ8+eFcj2d+3a1aDlYmNj2c3NjX18fEzOSkpK4g4dOrCHh4dRA/aLFy+4UaNGXL9+/Wy/hIy1cOFCVhTFqHtx5CQtLY0//fRTdnV11bkHTkFNZjEzR0VF8YQJE9jZ2VnnF92iRYsMbiMgIIAVRWEPDw+j869du8bVqlXT+fKEZjucnJx4wIABPGXKFP7yyy957NixHBAQwFWrVtVZbtq0aUZlijrwF/H/SkNEzfhDR1dhf/jMLPYDOtn2bw38vjRdQf6+ZC7c35ky/q7U5Bw6dMjo7c2P1NRUrl69OltZWXHNmjW5fv36bGdnp63D2tpa535jo0eP1u5HnTp14gEDBrC/vz+7urqyqqpcvXp1Tk5ONig7JSWFq1atytbW1tyuXTuePXs2//rrr3zw4EHeu3cvr1mzhkeOHMmenp7avt28eXOubS5atIhnz55tUP7w4cMNWs4Q9vb2Bi8r0zgm6ximIXIsM/c4JmoMYxY3jokew4KDg1lRFJ41a5ZBy+uzePFiLlmyJH/zzTdG7feijkNxTJZdYY9lsh2TyTiWMYsbz44dO8aqqvL06dNzXe7+/ft53iP7zp07bGtra9TnCDIdkzFb7jjGjL8t8bdl/scxjStXrmjzzHHiIRgHE9QABhJ1dpi5HTlyhJ2dnblfv378/Plzk9pIS0vj7t27Gz1gP3z4kBs0aMABAQGckpJiUjYzc7Vq1VhVVW7UqJHJbbzqjz/+4IoVK3L//v05ISGhQD+o0khMTOS5c+dyhQoVWFEUXrdunUHrPXr0SLstb775pknZcXFx2vfs1YOj3L4xZmdnxwsXLjQpU+Rkmijmrhl/6GRnjg+fZdy3meWrG78vc1aYvzNl+l2paXf06NEmbW9+XL58WTvuZ33Y29vz1q1bdZbNyMjg/v376+0Xd3d3vnz5slHZ165dYzc3tzy/ta4oikFjxf379/ndd981KPvw4cMFNo5t2rSpQNopTKLGMZnHMA1RY5k5xzGRYxizuHFM5BiWmZnJHTp0YGdn5zzPPsxNUFAQW1lZFZkPYHFMpl9hj2WyHJPJOpYxixvPvvjiC3Z0dOQLFy4Ytb2v0vRF2bJl89WOOWAcyxn+tsTflvkZxzTeffddfvvttzkuLs7kOjIzMzkiIoK7du1aJI6PigpMUAMYSPTlU83p5s2b3L59ey5Xrhx/9913Jh0cpaenc//+/Y0esFNTU3nGjBns5+fH9+7dMzqXmbXfQsvpUr6miouL4969e7OXlxdv2bKl0P5gf/HiBf/44495XkpJ49KlS9pt+f777/OVfezYMe7UqRPb2trm+k0xZ2dnHjlyJEdEROQrDwof/tDRzxwfPkPxh9+XOSvs35ky/K78448/uGvXrmxlZcXTp0/P8yyRghYbG8szZ87kbt26cc+ePXnmzJn86NGjHJffuXMnv/POO/z666+zj48Pjxs3Ltflc3P//n3u0KFDrt9YHzJkiMHfnh8wYIBJ2yEDUeOY7GOYhqixzBzjmOgxjFncOCZyDEtMTOROnTpx2bJls33oa4zNmzezra1tkTk2xjGZfuYYy4r7MZnMYxmzuPHsm2++YS8vLz548KBJ283M2jMu/f39TW7DnDCO5Qx/W+Jvy/yMY8z/vmdjxowxef2soqKiiszxUVGgMDOLvg82QFGxYMECGjVqFDk4OOS7rW7dutGuXbsKYKsKz6VLlygkJIQaN25MXbt2NXp9ZqaJEyfSvHnzjF43LS2N0tPTyd7e3uh179y5Q3fu3KEOHToYva4h1q1bR5988gk9e/aMFEWhjIyMQskxxsSJE0lVVZo9ezapqprv9p4/f06hoaEUFhZGMTExlJiYSA4ODuTl5UWNGjWili1bko2NTQFsOZhDWFgYjRkzhq5fv05ffPEFDR061Oj/WxkZGfThhx/S5s2bjdrn09LSaO7cubRv3z4KDg6mSpUqGbv5VL16dbp79y4tWrSIAgMDjV4/J0+ePKFRo0bRqVOnaMGCBfTee+9ZzP9pKFrw+zJnlvQ7s6j+royIiKClS5dSamoqrVq1Kt/tFSXnzp2jXbt20bVr1yghIYGcnJyoXr161Lt3b6pTp47ozStWRI1jGMOMV5BjmTnGMYxhYsawn376iRYtWkSKotDSpUvJz8/P6DZ2795Nffr0oeTk5ELYwsKBYzL9LG0sK4rHZDKPZURixrOIiAj69ttvacyYMVS7dm2j13///ffpyJEj9Ouvv1LTpk0LYQsLB8axnFnSWFYUxzEiuceyTz/9lBYvXlwgbbm4uFB8fHyBtCU7TFADAJggMjKSjhw5QkREAwcOFLw1AIbBHzr6WdIfOQDFEX5nAkBRhjEMirLIyEhSVdWkL4kSEZ0/f558fHwKeKtABIxlAFAcYCwDU927d4/c3d2pVKlSBdJW5cqVC2CrABPUAEXI7du36fLly9pvUmVmZpKTkxOVK1eO6tatSzVq1EB2MciVOVsE2eoF/YrrHzmy7t+yjqGyZctWryXky9znAABQOCIjIykjI4OqV68uXb6obNlykS1fNgAAFA2YoAawcOfPn6cffviBtm3bRk+ePMl1WTc3N/L396ehQ4dSy5YtkV2EcmXOzspcHz5bSr1EmGRAzQWfLev+LesYKlu2bPVaQr6sff7ixQvat28fnTlzJtdxrEWLFtShQwcqUaJEvjMBAApaURjLEhMT6ZNPPqGYmBgaO3YsderUSZp8Udmy5SK7aGcXhXEMAABMJOLG1wCQt7i4OO7Xrx+rqqp9KIqS6yPrsq1bt+bbt28j28JzZc7WOHfuHI8aNYrd3Nx02tb38PDw4MGDB/OxY8eKbL3mrtkSckVmy1SzrPu3rGOobNmy1WsJ+bL2eWxsLI8dO5ZLly6d5ximeZQqVYqHDx/ON2/eNCkTAKCgiRjL9u3bxx999BF36dKFe/TowVOmTOHTp08bvP6AAQNYVVX29vYucvmismXLRbZc2ZZ6TPbnn39yr169uEKFCmxnZ8fu7u7csWNHXrduHaenpxdaLrLNmy1bvZaQL7puEAMT1AD5FBERwb/++iuvXLmS582bx3PmzOHly5dzSEgI37p1y6Q2w8LCuFq1atk+jHNwcOAaNWqwr68v+/n5cevWrblJkyZct25ddnFxyfZBnZOTE585cwbZFporczaz+T98Fl2viJpF56Jm82XLun/LOobKli1bvZaQL2ufb9u2jZ2dnQ0av/SNZ3Z2djx37lyjMgvaW2+9JV22jDWLzJaxZpHZpuSaeyxLSEjgt99+O8cJo+bNmxv0ZcQ///xTuw3GEJkvKlu2XGTLly3imCwzM5OXLVvGrVu35rp163KvXr2y1Tdz5swc/9ZVVZV9fHz4/v37RuUi27zZstVrCfmi6zZEamoqx8TE8MOHDzk5ObnQciA7TFADmKAwzw57/vw5165dmxVFYS8vLx43bhz//vvvHBMTk+e6iYmJfOjQIZ4yZQpXr16dFUXhihUrcnx8PLItLFfmbGbzf/gsul4RNYvORc3my5Z1/5Z1DJUtW7Z6LSFf1j5fvXo1W1lZacejsmXLcpcuXXjMmDE8e/ZsXrp0Ka9evZrXrl3Ly5Yt4/nz5/Onn37KPXv25MqVK+t8gDJr1iyDMgtaRkYG29nZSZUtY80is2WsWWS2KbnmHsvS09P5zTff1DtJ9OqHyx9//DG/ePEix7Zu3rypXdZQIvNFZcuWi2z5skUdk/Xq1Uvn81xNG4sXL2Zm5j179ujU7uLiwh999BF/++23vGzZMh4xYgSXLl2aa9WqxY8fPzY4F9nmzZatXkvIF123PqdOneLPPvuMW7Vqpf0yTNaHs7Mz+/n58bhx4/jw4cMFkgn6YYIawAjmODts/vz5bG1tzQsWLMj1AC8vGRkZ/P3337OtrS3Pnz/foHVkzJaxZtHZIj58FlkvMyYZUHPhZsu6f8s6hsqWLVu9lpAvY59fvXqV7ezs2N7enj///HO+cuWK0ZkRERE8bdo0dnZ2ZisrK75w4YIJW54///3vf42a2CkO2TLWLDJbxppFZhubK2IsW7dunfZzDysrKx42bBjv27ePw8LC+OzZs7x9+3YeM2YMu7m5saIo3Lx58xyPEU2ZoBaZLypbtlxky5Ut6phs48aNOp/jVq1alZs0acIuLi6sqirv3r2b69atq329Y8eOnJCQkK2duLg47tKlCw8fPtzg7UW2+bJlq9cS8kXX/ap9+/ZxgwYNDJrbybqMt7c3r127Nl/ZoJ/CzCz6PtgARcGtW7fo7bffpsjISMr638be3p7KlStHTk5OZGdnR9bW1pSSkkLJyckUFRVFT58+1WnH0dGRDhw4QE2aNNGb4+vrS4MGDaKPP/64QLZ79erVFBQURGfOnMlzWRmzZaxZdPaCBQto0qRJNGfOHBo7dizZ2NiYlJmZmUkrVqygzz77jGbPnk3jx4/PcVmR9RKJqVlkrshsGWuWdf+WdQyVLVu2ei0hX8Y+Hz58OB09epT27dtHlStXzldmVFQUderUiZo2bUpr1qzJcbnY2FiaOHFivrKyio+Pp/3791NqaiplZGTkuqyobBlrFpktY80is0XWrCFiLOvYsSOFhoaSlZUVbd26lXr06KF3ufT0dFq1ahVNnTqVXF1d6Y8//qAqVaroLBMWFka1a9cmRVEMrllkvqhs2XKRLVe2iHGMiKht27Z05MgRqlChAm3fvp2aNm2qre+nn36iCRMm0JMnT4iZydPTkyIiIsje3l5vW2lpadSqVSsKCQmhihUr5rmdyDZftmz1WkK+6Lo1MjMzKTAwkJYtW0ZERKZMiSqKQp07d6Zffvklx20EE4iZFwcoWsx5dpirq2u+zhh51cuXL7ls2bIGLStjtow1i8728fHhJUuWFFj2qlWruEmTJrkuI7JeZjE1i8wVmS1jzbLu37KOobJly1avJeTL2OfVqlXjU6dOFVjuuXPn2NvbO8/lmjZtmu1ycvl5GHNmlKhsGWtGf8uTLbJmZjFjmea2Z4MHDzaozfv37/Mbb7zBFSpU4Bs3bui8ZsoZ1CLzRWXLlotsubJFHZNpzuYMDg7W+/qJEyfYxsaGVVXlr776Ks/2NmzYYPDfyMg2X7Zs9VpCvui6NUaMGKE9M9rT05Pfe+89njdvHm/dupWPHz/OV65c4Vu3bvGdO3f42rVrfPbsWf7tt994yZIlPHDgQK5UqZJ2HHvnnXeMzoecYYIawADmvNygh4eHye3rk5mZafCHgjJmy1iz6GwRHz6LrJcZkwzmzJaxZln3b1nHUNmyZavXEvJl7HM3N7cCzWVm9vT0zHOZ3bt353m7IGMfhn7wLCpbxprR3/Jki6yZWcxYZmtry6qq8p49ewxu8+XLlzxo0CB2d3fn8+fPa583ZYJaZL6obNlykS1XtqhjMk29ud1qauLEiayqKp88eTLP9s6dO8c9evQwaPuQbb5s2eq1hHzRdTMz7927lxVFYR8fH/7vf//LGRkZRq2vcfDgQW7evDmr6r+XJoeCYS36DG6AoiA4OJgWLVqU78sNqqpKY8aMIRsbGwoKCtJ7+dLy5cvTrl27qFu3bvnK0ti5cyeVLVvWoGVlzJaxZtHZVlZWJl8COKf28iKyXiIxNYvMFZktY82y7t+yjqGyZctWryXky9jnVlZW9OzZM3J0dCyQ3MTERLKzs8tzOX9/f/L19aWUlBSaOXMmubq6mpSXmZlJd+7cof/85z8UGRlp0DqismWsWWS2jDWLzBZZM5GYsczFxYViY2OpUqVKBrdrbW1NP/74I02YMIHatWtHe/bsIT8/P5O2UWS+qGzZcpEtV7aoYzIPDw969OgRlS5dOsdlxo8fT0uWLDGoTx48eEDXr183aBuRbb5s2eq1hHzRdRMRLV++nPz9/enXX3/N12dXbdu2pWPHjlGfPn1o5cqV5O/vb3JbkIXoGXKAosCcZ4dNmzaNXVxcjPqWYk7279/PZcqU4S+//NKg5WXMlrFm0dkNGzbknTt35jtXY8eOHdywYcNclxFZL7OYmkXmisyWsWZZ929Zx1DZsmWr1xLyZezzzp0789ixY/OdqREYGMjt27c3aNldu3bx+PHjCyT30qVLRp15KCpbxppFZstYs8hskTWLGMu6dOnCqqpyaGioSRkzZsxgBwcH/uOPP0w6g1pkvqhs2XKRLVe2qGOyvn37sqqqHBkZmetyffr04cTExDzbGzFiBLu4uBi0jcg2X7Zs9VpCvui6mZkrVKjA9+/fN2qd3ERFRXHlypULrD3ZYYIawADmvNzg48eP2d3dnVVV5VatWvHKlSs5IiLC4Lb//vtvXr9+PXfs2JFVVWVHR0eOiooyaF0Zs2WsWXS2iA+fRdbLjEkGc2bLWLOs+7esY6hs2bLVawn5Mvb55s2bWVEU7tOnD4eHhxuc96r79+/zgAEDWFVV3rRpk8HrDR8+3OTMV9nb2xu1vKhsGWsWmS1jzSKzReWKGMuCg4NZURSeNWuWyXmLFy/mkiVL8jfffGP0BLXIfFHZsuUiW65sUcdkx44dY1VVefr06Xm2m5mZmesyd+7cYVtbW7azszNoW5FtvmzZ6rWEfNF1MzO7u7sbtbwhDLl1ABhGYWYWfRY3gKVr1KgRzZw5s8AuN/jbb7/R9OnT6cKFC3pf//PPPykgIICePXumfc7R0ZGqVKlC5cuXJ0dHRypRogQpikKpqamUlJRE0dHRFBkZSfHx8URExMykqiqFhIQYtd0yZstYs8jsuLg4ql27NsXFxZGfnx8NGDCAOnToQNWrVzdo/fv379OhQ4fop59+otDQULK3t6ewsDAqV66cRdYrsmZRuajZ/Nky7t+i60a2+bJlq9cS8mXs844dO1JoaCgpikJNmzalDh06kI+PD1WtWjXP3AsXLtChQ4fo6NGjlJmZSY0bN6YTJ04YfMuCI0eOkK+vLzk4OBjcTzn5+eefqX///gYvLypbxppFZstYs8hskTWbeyxjZnrrrbfo7NmzdOnSJapcubJJda5Zs4ZGjhxJmZmZpCgKZWRkGLSeyHxR2bLlIlu+bFHHZJMmTaJly5bRn3/+SQ0bNjSpXiKi999/n4KDg8nT05Oio6MNWgfZ5suWrV5LyBddd+XKlenIkSNUpUoVk7OzunPnDnXq1InCw8MLpD3pmWceHKBoE3F22NWrV7latWqsKIr2oapqro+sy1aqVIkPHDhg0jbKmC1jzSKzjxw5ws7OzjrtOjs7c4MGDfjtt9/mPn368IcffsgDBw7kvn37cteuXdnX15ddXV11tsPKysqoSwuL7GtRNYvKRc3mz5Zx/xZdN7LNly1bvZaQL1ufP3v2jDt37mxQVm7bUKtWLX748KFJdQMA5JeIsSwxMZE7derEZcuW5a1bt5q87Zs3b2ZbW1tWVcPPoBadLypbtlxky5Ut8pjsm2++YS8vLz548KAppTIza//G9ff3R7aFZstWryXki6x7wIAB3K5dO37+/LnJ2RopKSncvn177t27d77bgn9hghrAAKIuN/jy5Uteu3Yt16tXT+dDt5weVlZW3KxZM169ejUnJyfnp2Qps2WsWWS2qA++RfY1JhlQc2Fny7h/i64b2ebLlq1eS8iXrc/T09N56tSp7OzsbFBm1oe9vT2PGzeuQN5vAID8EDWWbdy4kRs1asQ+Pj58/Phxk7Z9165dXLJkSZPWFZkvKlu2XGTLky3ymCw8PJzHjBnD169fN2n9/v37c4UKFfj06dPItuBs2eq1hHxRuadOnWJVVbl69eq8Zs0ag+51/aqUlBTetGkT16xZk1VV5SNHjhjdBuiHS3wDGEj0JR5jY2PpxIkTFBYWRk+ePKH4+HhSFIUcHR2pQoUK5O3tTc2bN6cyZcoUaN2yZstYs4js9PR02rhxIy1evJiuXr2a5/KqqlLjxo1p6NChNGDAACpZsmS+8kX0taiaRfY1ajb/vk0k1/6dlUxjqMzZstVrCfky9XliYiIFBQVRaGgonTp1Snss/yo3Nzfy8/Ojzp07U79+/cjZ2blA8gEACoKosSwyMpJUVaVKlSqZtP758+fJx8enSOaLypYtF9nyZOOYDAAKwsSJE2n+/PmkKArZ2tpS48aNjbp1wJkzZyg5OZmYmQYPHkxr1qwRXVKxgQlqACNcu3aNAgIC6O7du9rnFEXJdZ2s/8W8vLxo7dq11L59+0LbRoCiSvQH/iJgkgE1F9d9m0jeugGg+ImJidE7jpUuXVr0pgEAGAxjGQAUdRjHAMBUX3/9NX311VfEzHnO57xKM7/zwQcf0Nq1aw26rz0YBhPUAEYScXbYixcvaN++fXTmzBm6fPkyxcTEUGJiImVmZpKTkxOVK1eO6tatSy1atKAOHTpQiRIlTCkN2YJzZc4WQbZ6QS6y7t+yjqGyZctWryXky9zn5iZjX8tYs8hsGWsWmS3bGEYkvmbsZ8U/F9nyZYsga1/Lli1bvZaQL7Lu0NBQmjlzJh09etSo9Vq0aEGTJk2irl27Fti2wP8n6NLiAMVCTEwM79ixg+fOncsTJ07kESNG8MiRI3n8+PG8ePFi3rNnD8fFxZncfmxsLI8dO5ZLly6d5308NY9SpUrx8OHD+ebNm/mqTcZsGWsWna2RlpbGO3fu5ClTpnBAQAA3b96c69Spw7Vq1eKmTZty9+7d+csvv+Rdu3ZxSkpKka+X2bw1W0KuyGyZapZ1/5Z1DJUtW7Z6LSFf5j43Nxn7WsaaRWbLWLPIbNnGMGbxNWM/K/65yJYvWwRZ+1q2bNnqtYR80XVndf78eZ43bx736NGDa9euzZ6enmxra8t2dnbs5ubGDRo04N69e/PixYv5xo0bBZoNujBBDWChtm3bxs7OzqyqKiuKYtRDVVW2s7PjuXPnItvCc2XOZjb/wYnoekXULDoXNZsvW9b9W9YxVLZs2eq1hHyZ+9xUd+/e5UGDBnH//v05PDzc4PVk7GsZaxaZLWPNIrOL6himYcpYJrpm7GfFPxfZ8mXnB47JkG1pmZaQLTJfdN1guXCJbwATFeblKH744QcaPXo0ZWZmEhGRp6cn+fj4UNWqVal8+fLk5OREdnZ2ZG1tTSkpKZScnExRUVF07949OnfuHP39999E9O/9sWfMmEFTpkxBtgXmypxNRLR9+3YaOnQoPXv2jIz9VaQoCtnY2NDMmTPp888/LxL1Epm/ZtG5IrNlq1nW/VvWMVS2bNnqtYR8mfs8Pxo2bEhXrlwhIqJ69erRxYsX81xHxr6WsWaR2TLWLDK7KI9hGsaOZaJrxn5W/HORLV92fuGYDNmWlGkJ2SLzRdedm9u3b+c6r1OjRo0Cy4IcCJsaByiiCvvssKtXr7KdnR3b29vz559/zleuXDF6GyMiInjatGns7OzMVlZWfOHCBYPWkzFbxppFZzMzr169mq2srLTfhitbtix36dKFx4wZw7Nnz+alS5fy6tWree3atbxs2TKeP38+f/rpp9yzZ0+uXLmyzrfoZs2aZfH1iqhZdC5qNl+2rPu3rGOobNmy1WsJ+TL3eX55enpqzwrw8PDIc3kZ+1rGmkVmy1izyOyiPoZpGDOWia4Z+1nxz0W2fNkFAcdkyLaUTEvIFpkvum59zp07x6NGjWI3N7c853Q8PDx40KBBfOzYsXxlQs4wQQ1gBHNcjmLYsGFcs2ZNjoyMzPf2PnjwgF9//XUeMmSIQcvLmC1jzaKzRRyciKyXWc4DQdRsvmxZ929Zx1DZsmWr1xLyZe7z/NqxYweXL1+ey5Urx1u3bs1zeRn7WsaaRWbLWLPI7KI+hmkYM5aJrhn7WfHPRbZ82QUBx2TItpRMS8gWmS+67qzi4uK4X79+OhPQhsznaB6tW7fm27dv57sO0IUJagADmevssGrVqvGpU6cKbLvPnTvH3t7eBi0rY7aMNYvOFnFwIrJeZjkPBFGz+bJl3b9lHUNly5atXkvIl7nPzU3GvpaxZpHZMtYsMlu2MYxZfM3Yz4p/LrLlyxZB1r6WLVu2ei0hX3TdGmFhYVytWrVsk9IODg5co0YN9vX1ZT8/P27dujU3adKE69atyy4uLtkmrJ2cnPjMmTMFVg9gghrAIOY8O8zNzS2fW5udp6enQcvJmC1jzaKzRRyciKyXWc4DQdRsvmxZ929Zx1DZsmWr1xLyZe5zc5Oxr2WsWWS2jDWLzJZtDGMWXzP2s+Kfi2z5skWQta9ly5atXkvIF103M/Pz58+5du3arCgKe3l58bhx4/j333/nmJiYPNdNTEzkQ4cO8ZQpU7h69eqsKApXrFiR4+PjTdx6eJUq+h7YAEXBt99+S1WqVKFr167R3Llz6fXXXze6jerVq9OMGTPo+vXrVLt2bVq6dKne5aysrOjZs2f53WStxMREsrOzM2hZGbNlrFl0dmJiIjVr1qzAsn18fCghISHXZUTWq1ne3DWLzBWZLWPNsu7fso6hsmXLVq8l5Mvc5+YmY1/LWLPIbBlrFpkt2xhGJL5m7GfFPxfZ8mWLIGtfy5YtW72WkC+6biKiFStWUHh4OM2fP59u375NCxYsoE6dOpG7u3ue6zo6OlKbNm1o1qxZdOvWLVq6dCnFxMRQUFCQqSXAKzBBDWCAgwcP0vr166ly5cr5bqt8+fK0fv16OnbsmN7XGzVqRFOmTMl3jsZXX31FNWrUMGhZGbNlrFl0toiDE5H1Esl5IIiazZct6/4t6xgqW7Zs9VpCvsx9rs8///xDly5dopMnT9Lly5cpPj6+gLZOzr6WsWaR2TLWLDLbEscwjcIay0TXjP2s+OciW77snOCYDNn5zZatXkvIF103EVFwcDAtWrSIxo0bRzY2NiZnq6pKY8aMoaVLl9Ivv/xicjvwCtGncAMUBea8HMXmzZtZURTu06cPh4eHm9z+/fv3ecCAAayqKm/atMmgdWTMlrFm0dmdO3fmsWPHmpz5qsDAQG7fvn2uy4isl1lMzSJzRWbLWLOs+7esY6hs2bLVawn5Mve5xt69e7lnz57s6urKqqpme3h5efHAgQP5999/N3kbmeXsaxlrFpktY80isy1lDNMwx1gmumbsZ8U/F9nyZWeFYzJkF2S2bPVaQr7oupmZXV1d+cWLFyZnv+rly5dctmzZAmtPdgozs+hJcgBLV7ZsWQoPDydHR8cCaS8xMZHq1atH9+7d0/t6x44dKTQ0lBRFoaZNm1KHDh3Ix8eHqlatSuXLlydHR0cqUaIEKYpCqamplJSURNHR0RQZGUkXLlygQ4cO0dGjRykzM5MaN25MJ06cICsrK4O2TcZsGWsWmb1lyxbq168f9e7dm2bPnk2vvfaaQdv7qn/++YcmTZpEP//8M23cuJH69+9vkfWKrFlUrshsGWsmknP/Fl03ss2XLVu9lpAva5/fvn2bhgwZor3SUdY/lRVFyfYzEVGTJk1ozpw51KZNG4MyLKle7F9yZMtYs6z9rWHusUx0zdjPin8usuXLxjEZsvG3ZfH5fSm6bk9PT3r06JHBy+eFmal8+fIUHR1dYG1KTdjUOEARYu6zw549e8adO3dmRVH0fkPQkIeiKFyrVi1++PChUdsmY7aMNYvO7tChgza3efPmPGXKFP7111/5woUL/OjRI05OTubMzExmZk5JSeHHjx/zlStXeNeuXTxz5kxu27YtW1tbs6qq3LRpU05PT7foekXVLDIXNZs3W9b9W9YxVLZs2eq1hHwZ+/zy5cvs7u6uXd/QhyYzMDDQqDpF1ysyW8aa0d/yZIv+vSFiLBNdM/az4p+LbLmycUyG7MLMlq1eS8gXXXfDhg15586dRq+Xkx07dnDDhg0LrD3ZYYIawAAiLkeRnp7OU6dOZWdnZ6MOyBRFYXt7ex43bhwnJyebtJ0yZstYs8hsUQcnIvtaxgNB1GzebBn3b9F1I9t82bLVawn5MvV5UlISV61alRVFYS8vLx4/fjyHhITw1atXOT4+ntPS0piZOSMjg3ft2sV16tThDRs2cEBAAFtZWWnHvl69evHLly8tvl5LyJaxZpHZMtYsMltUrsixTNbflSKzZctFthzZOCZDtjmyZavXEvJF1j1t2jR2cXHhPXv2mLR+Vvv37+cyZcrwl19+me+24F+YoAYwkKizwxISEnjhwoXcpUsXLlOmTI6Dtbu7O3fv3p1XrFjBT58+LZCaZcyWsWZR2SIPTkT1tYwHgqjZ/H9wyLZ/i64b2ebNlq1eS8iXoc/nzZvH1tbWvHjxYs7IyMhz+cmTJ/P27duZmfnGjRv8zjvvsKL8+3dCfq66JENfW0qurNky1iwy29y5ljCWyfq7UmS2bLnILt7ZljCOMcvR18iWr15LyBeR+/jxY+1VGVq1asUrV67kiIgIg9f/+++/ef369dyxY0dWVZUdHR05KioqX9sE/4N7UAMY6Pnz59S7d2/at2+f9v4mxmJmqlmzJh0+fJg8PT1NaiMmJoaePHlC8fHxpCgKOTo6UoUKFah06dImtYdsy8yVKTsxMZGCgoIoNDSUTp06RfHx8XqXc3NzIz8/P+rcuTP169ePnJ2dC2wbzN3XomoW2deoWcy+TSTP/v0qWcZQ2bNlq9cS8otjnzdr1ox69uxJEydONGj5mzdv0tdff00//fST9rmff/6Zhg8fTqmpqbRlyxbq1atXvraJqHj2taXmypotY80isws71xLHMll/V4rMli0X2cUr2xLHMaLi2dfItoxMS8gWmW+u3D///JMCAgLo2bNn2uccHR2pSpUqed4HW/OZFjOTqqoUEhJC3bp1K9DtkxkmqAGMkJGRQTNmzKAlS5ZQYmKiUeuWKlWKRo0aRbNmzaKSJUsW0hYCFH2iD8pEKO4HgpaULWPNoslaNwAUHe7u7hQZGUn29vYGLZ+ZmUmNGjWiS5cu6Tx//Phx8vf3JwcHBwoPD8cxPwCYFcYyACjqMI4BQGG5du0aBQQE0N27d7XP5XUSYtapUy8vL1q7di21b9++0LZRRpigBjCBpZwdBgAAAAAA+ePl5UX37983ePnU1FSqUqUKPXz4MNtre/bsoe7du9Ps2bMNPvsHAKAgYCwDgKIO4xgAFKb09HTauHEjLV68mK5evZrn8qqqUuPGjWno0KE0YMAAfNmlEKiiNwCgKHJycqLPPvuM9uzZQ3FxcfTw4UO6fv06HT9+nE6cOEFXrlyhJ0+eUExMDO3YsYNGjRpl9snpyMhIGjx4ML3//vsUERGB7GKaK3O2CLLVC3KRdf+WdQyVLVu2ei0hvyj1ubOzs94PNnMSHByc47ft/f396eOPP6YVK1YY3F5+FaW+Luq5smbLWLPIbFNzi/JYJuvvSpHZsuUiu2hkF+VxjKho9TWyi1amJWSLzC+oXGtraxo8eDBdvnyZHj16RCEhITRnzhz6/PPPafjw4TRixAgaN24cLVq0iHbv3k0xMTF06tQpGj58OCanC4uwu18DQKFq0KABq6rKqqpygwYNkF1Mc2XOvnv3Lg8aNIj79+/P4eHhZskUWS+zmJpF5orMlrFmWfdvWcdQ2bJlq9cS8otSn48fP5579OjBaWlpeS574MABdnJyYj8/vxyXSUhIYDc3N7548aIxm22yotTXRT1X1mwZaxaZbWpuUR7LZP1dKTJbtlxkF43sojyOMRetvkZ20cq0hGyR+aLrhsJjLXqCHAAKh+Ybh8xM0dHRyC6muTJn9+jRg65cuUJE/95H5OLFi4WeKbJeIjE1i8wVmS1jzbLu37KOobJly1avJeQXpT7/9NNPqWbNmlSrVi0aPHgwtW/fnmrXrk2lS5emtLQ0ioqKojNnzlBwcDDt3r2biIjeeeedHNtzcnKiQYMG0Z9//kkNGjQomKJyUZT6uqjnypotY80is03NLcpjmay/K0Vmy5aL7KKRXZTHMaKi1dfILlqZlpAtMl903VCICmniGwD0MOfZYTt27ODy5ctzuXLleOvWrYWahWw5axad7enpyaqqsqIo7OHhYZZMkfUyi6lZZK7IbBlrlnX/lnUMlS1btnotIb+o9fnWrVvZyspK+838nB6KorC3tzcnJyfn2t7ly5d54MCBBVBN3opaXxflXFmzZaxZZHZ+covqWCbr70qR2bLlIrvoZBfVcYy56PU1sotOpiVki8wXXbfG4cOHef/+/cLyiyOFmVn0JDmALBo2bKg9O6xevXpmPSMPoLj57bff6KOPPiJmpiVLllCvXr1Eb1KhE1WzyL5GzXLs20Ty1g0AlmP37t00aNAgevLkSY7L1KlTh3bu3EnVqlXLs71OnTrRvn37CnITAQDyhLEMAIo6jGMAYGlGjRpFP/zwAxERDR48mIKCggRvUfGACWoAMypbtizFxsYSM5O7uzs9evRI9CYBAAAAAMD/9+zZM1q1ahXt3r2brl27RgkJCeTk5ET16tWjPn360JAhQ8jOzs6gtqKjo6lcuXKFvMUAANlhLAOAog7jGABYEmdnZ3r+/DkxMzk6OlJCQoLoTSoWMEENYEY4OwygaElMTKQePXqQoigUGhoqenMAAAAAAAAAAAAAwIyGDBlC69atIyKiAQMG0IYNG8RuUDGBCWqAYujixYu0Y8cOGjlypNm/IShjtow1i842l7i4OHJ3dydFUSgjI0P05kAxkpiYSHv37qWLFy9SfHw82dvbU/Xq1alDhw7k7e1tVFtOTk7UtWtXevfdd6lLly5UsmTJQtrqouOff/6huLg4Sk5OJnt7e/Ly8iIXFxdkF7Ns2eq1hHyZ+9zcZOxrGWsWmS1jzSKzZRvDiMTXjP2s+OciW75sEWTta9myZavXEvJF122KAwcOUGZmJnXs2JEURRG9OcWDuW96DQDGyczM5JiYGH769KlR6x04cIDLlCnD7733Hh89ehTZFp4rc3Zenj59yn/88QcHBwfznj17+MGDB4WSo8/jx49ZURRWVdXkNtavX89//fWXUeuEh4fzyZMn+cqVKxwbG1ukckVmi6x54sSJBi+7cOFCdnZ2ZlVV9T66du3Kf//9t8HtafZRVVXZ3t6ee/fuzZs3b+bnz5+bUkq+ZGRkcExMTJ7LxcXF8axZs/jNN9/kmjVrsp+fH0+dOpXj4uJMzt67dy/37NmTXV1d9farl5cXDxw4kH///XeTM5AtPlu2ei0hX+Y+NzcZ+1rGmkVmy1izyGzZxjBm8TVjPyv+uciWL1sEWftatmzZ6rWEfNF1g+XBBDWAhQoPD+d+/fqxo6OjdpCuUKECf/TRR3z9+nWD2li6dCkrisJWVlbIttBcmbOZme/cucNnz57VOzGemJjIQ4cOZVtb22wHLG3atOHTp08bnLN+/XqTHsuWLdNO/ul73RBXr15lVVXZ19eXd+3aleNyiYmJPG7cOC5Tpky2emvXrs2zZ8/m1NRUg2sWlStrzX379uXMzMw8lxs/frw2S1EUvQ9VVdnDw8Pg/4OadXx9fdna2lr7c6lSpfidd97hTZs2cWJiolH1GCs9PZ2//PJLLl26NKuqyiVLluT33ntP7xdKDh48yG5ubtn6QVVVLleuHF+9etWo7IiICG7durXeftX3s6qq3KxZMz506FC+60a2+bJlq9cS8mXuc3OTsa9lrFlktow1i8yWbQxjFl8z9rPin4ts+bJFkLWvZcuWrV5LyBddN1guTFADWKDQ0FDt2XVZB2jNIG1lZcXDhw/P82zXCxcuaNdBtuXlypx98+ZNbtq0qfagw8bGhocPH87JycnMzJyWlsa+vr56t03zsLa25p9++smgvKwHOMY+Xj1A0jyMmZDXrF+/fn29r0dERHCNGjVyrVdVVa5Tpw7funXL4nNlrHnChAm8b9++XJc5efKkNsPe3p579OjBX331FS9btozXrFnD3377LY8ZM4Zr1KjBiqJw9erVDZoo12xzWFgYx8TE8IoVK7hdu3Y6k9UlSpTgbt268fr16zk+Pt7gugzVv39/vX1atWpVfvz4sXa5P//8k0uWLKmzTJMmTfi9997jNm3asLW1Nb/22mvasSAvly9fZnd391zfz5zeY1VVOTAw0OSakW2+bNnqtYR8mfvc3GTsaxlrFpktY80is2Ubw5jF14z9rPjnIlu+bBFk7WvZsmWr1xLyRdedm4iICP7111955cqVPG/ePJ4zZw4vX76cQ0JCjP4cFEyDCWoAQXIa5KKjo7lMmTI6A3L58uW5RYsWXLduXXZyctI+X6lSJT5z5kyOGTdv3tQO6IaQMVvGmkVnx8bGcrly5fQemLRs2ZJfvHjBkydP1j5nZWXFgwcP5jNnzvDTp085KSmJT548yR988AHb2trykSNH8sycM2cO29nZGXUgZMiBkqE0y9euXTvba9HR0VyxYkWdtps1a8YrV67kM2fO8K1bt/jgwYP82WefsaOjI1erVo0fPnxo0bky1hwcHMy9e/fOdZmBAweyoij8f//3f5yQkJDrslu3bmUXFxdesmRJntmamsPCwnSez2my2tbWlt9++21es2aNzuSxqXbs2MGKonD79u15165dfP36dT5y5Ah/8sknXLJkSe7VqxczMz948IA9PDy02+Ht7c3nzp3Taev8+fPs4eHBy5YtyzM3KSmJq1atyoqisJeXF48fP55DQkL46tWrHB8fz2lpacz872XHd+3axXXq1OENGzZwQEAAW1lZabejV69e/PLlS6NqRrb5smWr1xLyZe5zc5Oxr2WsWWS2jDWLzJZtDGMWXzP2s+Kfi2z5skWQta9ly5atXkvIF123PufOneNRo0bpXNkvp4eHhwcPHjyYjx07ViDZkB0mqAEEcXV11fv8559/rjPBom8APHv2LH/88cfs5OTEJUqU4F9++UVvW8ZOHMqYLWPNlpTdsGFDnjFjBi9btozHjBnDZcqU4aFDh7Kjo6N2mdwmqtavX8/Nmzc3KPfChQtcp04drlKlCm/bto0PHz6c50Mz8aaqqt7XDZXbpKm/v7/OpPfChQtzbCcyMpIbNWrEXbt2tehckdmicqOiotja2jrbhGtWNWvW5CFDhhjUHjNzSEgIt27dOs/lcpqgzio2NlbvZLWNjQ137NiRV61aZdC9o/Xp0qVLjnUdPXqUnZ2def/+/fzWW29pc6tXr86PHj3Su86GDRu4Q4cOeebOmzePra2tefHixZyRkZHn8pMnT+bt27czM/ONGzf4nXfe0W7P2LFj81wf2WKyZavXEvJl7nNzk7GvZaxZZLaMNYvMlm0MYxZfM/az4p+LbPmyRZC1r2XLlq1eS8gXXXdWcXFx3K9fP50JaM1nhDk9si7bunVrvn37dr62AbLDBDWAAE+fPmVFUfS+9vrrr7OiKFyuXLk8JwsePXrEvXv3ZisrK16xYkW2142dOJQxW8aaRWfXqVOHVVVlf3//bN9+e/LkCbdt21bbnp+fX57tDRo0yKCzqJmZU1JSeMyYMVyuXDn+73//m+fyjx8/Nqq2nOQ0aXru3DmdA56ZM2fm2daTJ0/yPKtddK7IbJE1N23alH19fXO8LLerqyvfuHHDoLY0KlWqlOcyhkxQZxUbG8srV67MNlltbW3Nbdu25WXLlnFUVJTB2+jp6an3XtMa69atYxcXF+3Bv62tba59mpSUxJ6ennnmNm3alOfMmWPwdt64cYPff/99nec2bdrEpUqVYlVVeevWrQa3hWzzZctWryXky9zn5iZjX8tYs8hsGWsWmS3bGMYsvmbsZ8U/F9nyZYsga1/Lli1bvZaQL7pujbCwMK5WrVq2SWkHBweuUaMG+/r6sp+fH7du3ZqbNGnCdevWZRcXl2wT1k5OTgZ/RgiGwQQ1gJk9ffqUx4wZk+OEl4ODA6uqyt98843Bba5YsYJtbW153rx5Os8bO3EoY7aMNYvOLlmyJKuqyufPn9f7emJiIleuXJlVVeX169fn2d7+/ft50qRJBmVr7N27l8uVK8ejR4/O9V63hT1B/dlnn+mcTW7ItwmZmZcvX27QPVhE5YrMFlnzjz/+yIqicP/+/TkzMzPb6zVr1jSonazKlCmT5zLGTlBnpZmsbt++fbbJakPlNZmcmJio/WNCVVWeMmVKvttkZnZzc+Pnz58bvJ0ZGRl6701+7NgxdnZ25goVKhh872tkmy9btnotIV/mPjc3GftaxppFZstYs8hs2cYwZvE1Yz8r/rnIli9bBFn7WrZs2eq1hHzRdTMzP3/+nGvXrq29zPi4ceP4999/N+gqgomJiXzo0CGeMmUKV69enRVF4YoVK3J8fLxR2wA5wwQ1QB5iYmLY1tZW55IOBfXQR/Mh/vHjx43azv3797OjoyNPnTpV+5yxE4cyZstYs+hse3t7tra25hcvXuS4zC+//MKqqvL169fzbO/MmTPcsmVLg7Kzio2N5e7du7O3tzefPXtW7zKFPUGtOUAy9luAx48f56ZNm1psrshskTWnp6dzvXr1WFVV7tmzJ6ekpOi8/sYbbxh1IH3q1CmuUqVKnsvlZ4I6q9jYWF61apV2stpQ7u7uuU74jx07VruN3t7e2nsM5SQxMZFdXFzyzK1YsaLB28j87xUUcpr43r17N1tZWRn8zV5kmy9btnotIV/mPjc3GftaxppFZstYs8hs2cYwZvE1Yz8r/rnIli9bBFn7WrZs2eq1hHzRdTMzz58/n62trXnBggW5fhadl4yMDP7+++/Z1taW58+fb3I7oAsT1AAGGD58eJ73JDD2kdOEl7e3N6uqyhcvXjR6O0+dOsVlypThTz75hJmNnziUMVvGmkVn169fn62srHK8DDIzc2ZmJleuXJljY2PzbO/HH3806DLIOVm9ejWXLl2aZ86cmW2SrTAnqLO27enpyenp6Qa3t2bNGnZzc7PYXJHZImtmZj5//rz2KgGvvfYa79u3T/vapEmTDL4c/fPnz9nHx4cDAgLyXLagJqizMuT/nkaLFi341KlTel/77bfftF/KsrGxYVdXV7527Vqu7S1fvpx9fX3zzK1bty5HR0cbvJ1r167lsmXL5vh6YGAgV65c2aC2kG2+bNnqtYR8mfvc3GTsaxlrFpktY80is2Ubw5jF14z9rPjnIlu+bBFk7WvZsmWr1xLyRdfNzOzj48NLliwxap3crFq1ips0aVJg7ckOE9QABoiMjGQbGxtWFIVLly7NVapUMelRqVIlbTs5TXgNHz6cVVXlkJAQk7b10qVL7OnpyUOGDOHr168bNbkmY7aMNYvOnjRpEquqyidPnsx1uVmzZnFSUlKe7TVr1oxLlSplUHZObt26xc2aNeNmzZpxRESE9vmCmqBesWIFe3t7s6Io/Pbbb/OJEyd437592rbfffddg9tKTk7mGjVqsK2trcXmiswWWbNGcHAwW1lZaSdmGzRowIsWLeK1a9fym2++meflxXft2qX9Eokh/0c1teX1f6qwTJ8+nVu2bMnPnj3TeX7Tpk1sb2+v3b7ly5fz+PHjuXz58nz06FG9bR0+fJidnJz4yy+/zDN3/Pjx3KNHjzzPyGZmPnDgADs5OeV6X/uEhAR2c3Mz6Is7yDZftmz1WkK+zH1ubjL2tYw1i8yWsWaR2bKNYczia8Z+VvxzkS1ftgiy9rVs2bLVawn5outmZnZ1dc3XmdOvevnyZa6T6GAcTFADGGjo0KHcr18/vfcVNUZqaqp2clCfa9eusY2NDffs2dPkjLCwMK5UqRK3aNHCqMk1GbNlrFl0dkxMDHt4eHD37t1NztbYsWMHK4rC9vb2+W4rPT2dp0yZwqVLl+bVq1czc8FNUDP/e1b41q1buVmzZqyqKpctW1bbtjH3Ap8wYQIrimLQJZBF5orMFlmzxk8//cQlSpTQ5mZ9NG/enIOCgvjAgQO8f/9+/vXXX3nRokU8ePBg9vLyYlVVWVEUg86eZv7fBPWr94c3l+joaHZycuLKlSvzyJEjeezYsezr66utQ1VV/vTTT5n53wN5Pz8/tra25k6dOvE333zDQUFBPH/+fPb392crKyt2dHTkf/75J8/cBw8esIODA1etWpVnzpzJx48f5ydPnnBmZianpKTw7du3OTg4mAMCArR9n9dlmMaPH2/QN2uRbb5s2eq1hHyZ+9zcZOxrGWsWmS1jzSKzZRvDmMXXjP2s+OciW75sEWTta9myZavXEvJF183M7OHhYfCyhsjMzMQEdQHCBDWAge7cucMjR44skLaePHmS64TXkiVLWFEUXr58uckZkZGRXKNGDaMn12TMlrFm0dlHjx5lJycnnj17tsnZzMxNmjRhRVH4tddey1c7WR0/fpyrV6/O3bp1M/rscEMdOnSI3377bW3bQUFBBq33/PlztrGxYVVVuWHDhkUmV2S2yJpPnjzJ5cuX12brm6x+9aG5DUT37t05ISHBoJzJkyezu7s7Ozk5cWhoqEnbml/BwcE51jJ27FidZWNjY7lOnTrZ+kNRFLaysuLg4GCDc7du3apztnpu/ert7Z3nPcAvX77MAwcORLaFZctWryXky9zn5iZjX8tYs8hsGWsWmS3bGMYsvmbsZ8U/F9nyZYsga1/Lli1bvZaQL7ruhg0b8s6dOw1ePi87duww+XNCyA4T1ABG+OKLL/K8NKuhXF1dc339559/Zjc3N+7SpQtfunTJpIyoqCiuW7cuq6pxk2syZstYs+jsW7ducbt27XjgwIH8/Plzk7Ld3NxYVdVsE2D59ezZMx44cCCXLl26UCaoNa5cucIDBw7kQ4cOGbT8hQsXtNszefLkIpcrMltUblJSEn/99dfafSmvR61atXjjxo1G56SmpnJQUBA3atSIZ86cafL25sehQ4e4bdu27OjoyGXKlOF27drx7t279S779OlT/uyzz9jFxUVbu6+vL+/fv9/o3F27drGrq2uu/Vq3bl2+ffu2Qe299dZbyLbAbNnqtYR8mfvc3GTsaxlrFpktY80is2Ubw5jF14z9rPjnIlu+bBFk7WvZsmWr1xLyRdY9bdo0dnFx4T179hi8Tk7279/PZcqUMei2dGAYTFADGCEuLo5TUlIKpC1DJroTEhL422+/5TZt2vDPP/9sUs7jx4+5SZMmRq8nY7aMNYvOZmY+ffo0379/36R1Q0JCePLkySZPcOdl27ZtPGjQIB40aFChtG+s5ORkbtq0KTdv3pzj4uKKfa7I7ILOTUtL499//50DAwP57bffZl9fX65RowY3atSIAwIC+KuvvuJTp04VwJYz37t3r0DaMZfHjx9zYmJivtpITEzk+fPn85tvvslubm5sY2PDrq6u3KZNG16+fDmnpqYa3FZUVBSyLTRbtnotIV/mPjc3GftaxppFZstYs8hs2cYwZvE1Yz8r/rnIli9bBFn7WrZs2eq1hHxRuY8fP2Z3d3dWVZVbtWrFK1eu5IiICIPX//vvv3n9+vXcsWNHVlWVHR0di8RYVlQozMwEAAAAAAAAAAAAAAAAAFBM/PnnnxQQEEDPnj3TPufo6EhVqlSh8uXLk6OjI5UoUYIURaHU1FRKSkqi6OhoioyMpPj4eCIiYmZSVZVCQkK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PnKUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_id = plot_single_scatter(x=indexes_strings,\n",
    "                             y=genu_estimate,\n",
    "                             y_std=genu_std,\n",
    "                             title='WM - Genu',\n",
    "                             x_label='Site#.Meas#',\n",
    "                             y_label=\"T$_1$ (ms)\",\n",
    "                             file_prefix=\"WM_genu\",\n",
    "                             folder_path=output_folder,\n",
    "                             fig_id=fig_id,\n",
    "                             y_type='meas')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_id = plot_single_scatter(x=indexes_numbers,\n",
    "                             y=splenium_estimate,\n",
    "                             y_std=splenium_std,\n",
    "                             title='WM - Splenium',\n",
    "                             x_label='Site #',\n",
    "                             y_label=\"T$_1$ (ms)\",\n",
    "                             file_prefix=\"WM_splenium\",\n",
    "                             folder_path=output_folder,\n",
    "                             fig_id=fig_id,\n",
    "                             y_type='site')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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snD9K5pp5Hndr9L5cyjoks7wmS/1e8bMOrspOCNDIuxXhzX7mITAhgEkQ3uO+N6ornwLU6enpJz9QAggb7NuK0qrTB6P8E56n9i67fiEB6mqmOr2/AVjH11VZUniueAzHcw5XVv2sw/U9xk1geKJS/2f5YRKEVwmSvZwEYe5JK39Pz2MZMtfMl/nFYq/39LQKk05ChxETq4hhE1S8ePqfb2I3d8oM4+T7zIPJEH79OZumzFXvVDw6P/6cK3M9CUeeTggw83Ol3WVsi7riLZlVbKINkyAAlPApQC0F9uYtwW8gNLFvK6qjmEif/yv8s75/M4oAAKqWQKzKCsebz+F4zuHKqp91uL7HuAmM0gLxf5YnkyDM9J0yP39PKiosv1BUDRm9r5CR3KbiDr2YBGHuSfszeOjmPmOhXcWLpyvisokhH6QOx9WWocxo0UkRl00sfxJEiRo2ryZBePpzNu350q6tMnd8LWVn/u+F+CQZKedJrTrLsMW479CHn3N1ykxQWYEOyle3iTYAUMKnu/IEkIHwxb6tqG7ioqJVLybepzTf9WLiFcd7HQDCVqBuFnlzU9Lc8Y2Uutr5hbhEGad3D+hNSX+rSqs8TdOU8rMle4Fki5Zi4sm+4QWrftbh+HsFlBaw/7PcTIIw96Sd3KfX3b3EoiKZa+bL8FOQ2MzPPXm+pin3a7RNyZSKl81UxK3TAh5Uq0wwKxxXW4Y6o0UnRdw6TebWVS77xqpWHRldBsno2FNGtOffb09/zoYkNU2R2ecKKT9HsudLthgpJi6wi8vCNGBqRVC+Ok60AYASPgWon3zySTVq5N+VkQUFBTp06JC++OILffLJJ35tG4B/sW8rqhPDMNQ/uZ0W7trsdd0BySnckAaAMBXIm0We3JQ096TJLO/GYE6WzG8/lVLXyKgiNwYru8pTdZvIiKvlU9+epn725yqlUEj9bBWrVvSG4++VlcI1pXqonrdVAQ4rg8Tm9i8qXtFaVv+FBTK3fymjy8BK9e1o0aIVpuEaPLSSERMrndHXJUBtjH5QET5+PvGqf8OQasaf/AqwcA2YWvF7FcoTbaxEGnmg+vApQD1y5Ei1a9fO32NxmDBhgmbNmhWw9gEEBoE6VFU9GrTS0j2pshcXebT/maGTqey7N2gZ6KEBAEKQ1TeLwvXGoBSiKdWzM08GLr/91LPPESGS+rmqCtRNyXD+vQqEcE2pHornHY5BYtM0ZW5Z6UNNQ+aWFTLPvqDS9zesChKH6rWsUvucWzjxw5u+zfwc14OH98nM9i7rRyhMtimP1Z+BrWLZJJ8QmGhjJdLIA9Vf5TbeDJDhw4cToAYABE1slE3jOpyvGWlrJZkV/pllSDJk6PYOvRVLem8ACEtW3iwK1xuDknUp1c30nTLXzHN/U1KSDENGv9EV76FK6mePBPOmZDj/Xrnja1ApXPfJDcXtCsIySJyfLWUd8qGiebJefk6lVqKG44r10mMIuYlkXio98aOyfZsfPOfR5LWy+g5F4Rgwter3KhQm2liJTBBAePApQF1Q4M1/RN5LTk5mn2sAQFB1TErWHZ36atb29SooLiq3nC0iSrd36K0OSf7d6gIAUDVYfbMo0DcGwzE9bUWpn838XJkLn3Z/P9JRQTLXfyAjDAKXgRTsm5LheMP9VP4OKoXrPrlWpbAvT9gGie2VvG9pz/e573Bcse5ozaKJZE5j8PPED2/69osQmWxTFqs/A1vFst8riyfauO0lgGm2QzUTBAD/8ylAfezYMX+Pw0nr1q21bNmygPYBILRk2fOUZc/zqGxOGR8M9+VkKs4e7XF/ibaaSrRZu192OJ5zqOuYlKynuo3QmvSfXPZYrxMdp4GNT1ePBi1Vk5XTABC+LLxZFIwbg6SnPaU1ApdBF+ybkuF6w700S1MRszoqsMI0SCyb538nl10/xueqYbliXdZNJHPh54kfXvVd3YV4wDQQLP29svIaWkqw02yHQiaIQKjsdgHmod8kLyfahPJ2AUAJnwLUO3fuVK9evfw9Foe4uDhdcsklAWsfQOhZt/9nLf81zef6L6St9qr80GadNKz5mT735w/heM5VQWyUTb0btnEJUN/beZBqRRPgBxCeQnVVbVlM0zx5A81ecPIGdUy8f4NHVt4sCsKNQdLTlmqlGgcuQ/V32pKbkmF4w700y1IRszoqOMI0SKyYeCmxnpR1WJ6nwJAkQ0qs610QoJRwXbFeXQNKOEWIBEyDysrPCFZeQ/9kxUSy6jo5lO0CgsubRWH+wKIw3/kUoP700091/fXX+3ssAMJYn0Zt1blOk6D1Fwr/aYTjOVdloXqDOZDYbgOe4IN/eLB07z8PA2mmPV/atVXmjq+l7Mz/vRCfJCPlPKlVZxme3KhxF0iz8mZREG4Mkp62lGocuAzFlfKSRTclw/GG+58s21eTYFbwhGGQWDr5t5tx9gUy18z3sqYp4+yBVfP/DSvTmod4QCmQqYjDSggETIPOys8IFl5DJWsmklXnyaFsFxBclV0U5i0WhfnOpwD1e++9p5tvvlkXXHCBv8cDIEyFY8AhHM8ZoSm3yK7P/9jpcvyprZ/pgsYp6tGglWJJa45y8ME/PHj6B7Vpz5e54xsp9ZQsH3GJMk7v7lWQ2NFmZQNp2Zkyv/1U+vZTj27tuA2kWXmzKBxvDIbpzf5AC8mV8lbdlAzH36s/WZadIMD9hmqGAEuEY5C4pP8OvWR+sVgqtMuzczekGjYZHXr63mkYrlgPpYBSsFMRhx2LA6aWsPAzgpXXUMsmklXjyaFsFxBc3iwKyykscMlSemen/oqr4d22mvCNTwHq4uJiDRkyRGPHjtXNN9+sHj16hOzsFAAAUL5tmematX29CoqLXF7LKMjRwl2btXRPqsZ1OF8dk5ItGCFCXWU/+E/s2E/xXvzhzgd/a3jyB7W5J01meSngcrJOBolT18jwMgWcu0Camb5T5pp57mf3S5JhyOg3WkZym/LLuAmkWXrDPRxvDIbhzf5gCLWV8pKsuykZjr9Xsi6oFIx+QzVDgCf8vdIzLIPEJS3FxCpi2IQ/VwDKTf+GZBgn09RWJrgSjivWQySgxJ72gWf19cQSFn9GsOoaallWhGo8ORTB5c2isOP2fJdjTeKSlBDCf8tVJ14HqKOiolRUVKSioiLNmTNHc+bMUUJCgl599VVdddVVgRgjAMDPvEnJm1PGh9J9OZmKs3s3k4ygUujZlpmuGWlrZbr5Q8deXKQZaWt1R6e+BKlDlJVptj39/c4tsivtSLrL8bk7v/FppT6ro0JLIFPAVRRIM/NzZS582vP7RaZkrv9ARiVn91t1s6gq3Bj0exrNcLzZH64suilZFX6vAsKqoFIQ+q1shgCNvFsR3pybD2k0g7nSM+yCxKVbbNFJEZdNLD9wWaKGzT+By3BcsR4CASX2tA8eK68nVrD6M4IV11BLsyJU48mhAMrmdYDabrerqKhIx48fV3Z2trKzs5WTk6PGjRsHYnwAgACobEreU1dAukNK3tCTW2TXrO3rZboNT5f8CWRq1vb1eqrbCNJ9h6BQT7MdiJX6VWFPZL8J8eC4lXuJWjW738ob7qFyYzBowZVwvNkfrqxMoxkiv1dBZVVQKQj9epohwMzPlXZ/7/rCirdkBjAdcLBXeoZdkLis/m+dJnPrqpO/56XVqiOjyyAZHXvKiPbD/9FWB7OsuJZZHFBiT/vgsvp6YgWrPyME/RpqZVYEJocCYcenFN9RUVFKSkpSUlKSv8cDwEKsqg0f3qTk9Qd+zqFnw4FdZQYLy2NKKigu0sYDuzWgcUrgBuYH4XgtC+X9dQK1Ut/K/VOrcurQQLBsD1OL9zy06oZ7KNwYDGZwJSxv9ocrKycjhMDvVdBZFVQKkdVRVqUDtmqlZyD/z/Jo4l7NBBkjJsr86Rtp6ymTneMSZZzeXWrVWbLFyDywt+K2fJi4Z8TESmf0dQlQG6MfVERcLa/acttXuK1YtzigZFkq4jBm9aSTYAuFzwjBnGhjZVYEqz/3AyVMT7YPg1/4FKAGUD2xqjZ8hEJADdYxTVOr03/yqe6q9B3qn9wupD/4h+O1LFT31wnkSn0r90+1NDju5ept0zSlgjypyC5F2aTomt79/rq5CWxpkDgE9jwM1M0itz/nmgky+l0t8/P3pKLC8stFRcnoc6VUM6HiG/5e3Oy3IrgS6Jv97r7fxvmj/tzn3LOujd6XS1mHZJbXZIhnRbBKoG9KhvLvlSWsCiqFwOooq4LEVq/0DNj/WZWduJeTJfPbT6VvP/XsMuvHiXuB+JvG6mBWsIOHVgaUrJ6sGM6CGjANAZZP8inRsJXrsYHXy6gZLx095Nn/qu4+n1g8kYzJoQim3CK7Pv9jp8vxp7Z+5tNWdPAeAWoADqyqBcJDTlGBDuVn+1T3UH62corsivditW2wcS0LHdV1pX5lg+Oq20SGj6t1/LF626twgLubwFYGiUNgz0MpMKuy/LZKv6hQ5qp33P7MPb3Zb1VwJdA3+/2aFcE03X7PQz0rgpUCeVMyVH+vrGJVUMnq1VHhuC1FaYH4P8ubiXt+4cOe38Fm9QrTYAcPLQsohcBkxXAWkM/AIbyVUshO8ln0vIq9KO7284nFE8msnuSD8BGIrejgPQLUABxYVQuEh/wTngcMy65fGNIBaq5loaG6r9T3RCD26PXkJrCZvtODFYA1ZPS+QkZym4o7dHcT2MogcYikiS1PpdKHe3mz3zRNyZ538sZwDZtk836lvEf9WBhcCeTNfk+/36Y9X9q1VeaOr6XszP+9EJ8kI+U8qVVnGZ68r6pAcMUqgbwpGaq/V1ayKqhk5eqocN2Wwm0vlfk/y5uJe2HE6hWmQU1rblVAKUQmK8JZpVbFh/hWSuEwycfqiWSS9ZN8UP0Fais6eI8ANQAAYSYmsnL//cdE1vDTSFCdVfeV+u4Eam9LdzeBzT1pJ28muEtbWlQkc818GZVNW2plkDgE0sQGirc3+4MxlSMUgiuButnv6ffbkKSmKTL7XHFy1ZU9/+R7OCauyk+oCSWBuikZir9XVrMqqGRVv+G+LQWCz+oVpmZ+juvBw/tkZnu31YwnK0wtCSiF+GTFqqqy7zHz0G/efc4u9R6zciulyqhuk3xCIc22ZVsp+Vuob/kShgK5FR28R4AaAIAwExcVrXox8T4FD+vFxCuOD2TwQKiv1DdNM2DBh7Da29LCIHEozO4PKwEOroTc/nsVMAzj5LmEcbAokNdQyfqVh+HEqlVKlvRbjbelsDKgZKWqet5WrjA1P3jOv9u9lC4b7Gt3NZ6saCUr32OV3UrJqNdURmyCF72jLKGSZjukt1LyUKhv+RKOqutWdFUVAWoAAMKMYRjqn9xOC3dt9rrugOQUgjrVkOkukOqDUFmpH4g02+76C6e9La0OEgd0v9oqetM7YAIdXAm1/fcgKfjX0NKCmZ423Fk1ISDo/VbjbSlCOWgZSOF43qGWDvhUQU0tzmTFgAj19xiCI5TTbAdrK6VQWqUP/2ArutBDgBoAgDDUo0ErLd2TKntxkachHdkiotS9QctADw0BlFtk1+d/7HQ5/tTWz3RB4xT1aNDKbymLQmGlfqDSbFfYZxjubRnoFHDuAsXG+aNkrpnncddG78ulrEMyy2vyz0BxON70rlCAgyvcDA09VlxDPcFNocDwd1ApJLMiVONtKcL1GhqO5x2K6YA9EahrdyikIq5uqup7DP5XHTPasEo/vIX7VnShiAC1l/bv369Zs2bp008/1c6dOx0fsLp27arbbrtNI0aMqLD+4cOH9a9//UtLly5Venq6ioqK1KJFC40ePVrjx49XfLz72bgbN27UjBkztG7dOuXm5spms+mcc87RhAkTNGTIEH+cJgCgmouNsmlch/M1I22t5GbfFUOSIUO3d+jNfitV2LbMdM3avr7MVEYZBTlauGuzlu5J1bgO56tjUnKl+7N6pb4VabbDdW/LQKeA82saNtOUueqdikf4Z6A4HG96VyjQwRVuhoaUQF5DyU5Qtfj6/1JIZkWoxttShOs1NFzPG/8TKqmIUbXx2aR8ZLRxFuhtbhBYob4VXTgiQO2F+fPn67bbblOnTp303HPP6bzzzlNUVJT27dunhx9+WJdddpmuvvpq/fvf/1aNGq5pKdetW6fLL79cdrtdb775poYPH67CwkK98sormjRpkmbPnq0lS5YoJaX8XPaTJ0/Ws88+qz59+mj16tVq3bq1fv31V02YMEEXX3yxbrnlFr388suKiuJHCwCoWMekZN3RqW+5QcsStogo3d6htzokNQri6OBP2zLTNSNtrZupCJK9uEgz0tbqjk59/RKktmqlvmVptqvx3pbuBDIFnKeBYtOeL+3aKnPH11J25v9eiE+SkXKe1KqzDE9Wv/0ZKOamtzPSaIaPQF9DyU4QHkJxko/V1zFWelYfBLNCSyinIkbVwGcT71X3z/ZWbnODwAmVrejwP0QxPbRmzRpdc801atKkiT7++GMlJv7vj58mTZpo9uzZ2rt3r+bPn68WLVpo6tSpTvW3bdum4cOHKysrSx9++KGGDRsmSYqOjtbEiRNlt9t1zz336KKLLtI333yjunXruoxhypQpeuaZZ9SiRQstW7ZMCQkn00k0a9ZMixYtUvfu3fX6668rOjpaM2bMCOB3AwBQXXRMStZT3UZoTfpPWro31em1OtFxGtj4dPVo0FI1vVw5nWXPU5Y9z6OyOWXcRNiXk6k4u+ezEhNtNZVoq+lx+XCSW2TXrO3rZboNT5fcKjU1a/t6PdVtRKVXzFu1Ut+qNNvVem9LT27E1kyQMWKizJ++kbaudn4tLlHG6d2lVp0lW4zMA3srbqvUjVhPA8WGJDVNkdnnipPBfnv+yfOKiav2N1CCheBKeAj0NTQUA5fwv1Cd5GPldYyVntUHwazQUx1TESN4+GwSXKE+ySdUt7lB5YXCVnRwRoDaQ4899phM09RFF13kFJwu7c4779SqVas0c+ZMPf74445VzIWFhY7gdM+ePR3B6dImTpyoF198UXv27NEdd9yh+fOdZ/SuXLlSDz/8sCTp/vvvdwSnS9hsNk2ZMkWXXHKJXnrpJQ0dOlQXXXSRP04dAKoFAqbli42yqXfDNi4B6ns7D1KtaN/OYd3+n7X81zSfx/RC2mr3hUoZ2qyThjU/0+f+qrMNB3ZVuEL+VKakguIibTywWwMal5/VxVPBXqlvaZrtary3ZaVTteZkyfz2U+nbTz0LB1TiRqxhGCcD/ZVYEY6yEVzxP6/26fUHNzfognENDdXAZSCF2s85nFl9HWOlZ/VAMCs0kYoYvqZfDsfPJlYK5Uk+VmwVhuCxeis6uCJA7aFvvvlG0skVz+Vp3bq1JOnYsWPKyMhQgwYNJElz587Vrl27JEljxowps67NZtOVV16p559/XgsWLNDf//53de3a1fF6SYC8pFxZBg8erPr16+vgwYOO1dgAgJMImHqvMh+8+jRqq851mvhxNBWrKpMBgs00Ta1O/8mnuqvSd6h/cju/fAAP1Er9MlmZZrs6723JjVj8ieCKf/l1j3UPuL1BZ+U1tBqz8ucc6quUrGD1dYyVnlVfOAazqvK1hIBC9UP65aotVP+2tGyrMASVVVvRoWwEqD1Usqf0F198UW6ZQ4dO/iEfHR2tevXqOY4///zzjscDB5af8uzCCy90lH3ttdccAerNmzdr3bp1kqSuXbuWu4I7MjJS/fv314IFC/T9999rw4YN6tGjhyenBwDVHgHT4KpKK8irs5yiAp9SF0nSofxs5RTZFV+j4lXB3mQnaJlQx+XYmDbnKt4W4/E43b63LEyzXZ33tgzHG7EoH8EV//HmBp2ZnyPzg+ec64+aJMPLG/4Vsng/++rKyp9zKK9SspLV1zFWeqKqsfJaUpWD4/A/0i9XfaH6t6VlW4UhqKzaig5lI0DtobPOOkurV6/Wli1bNHfu3DJXQi9efPIPi+HDhysiIkKSdPDgQaWlnVyxl5CQoDZt2pTbR5cuXRyP33//fb388suKiIjQihUryixTXhsLFiyQJC1cuJAANQD8iYApwlH+Cc9Te5ddv9BtgLqy2Qmmb1vjVXm32QmsTLMt9rZE+CC44h9e3aDLPe76W123iQx/fr8tvoZWV5X9ORv1msqITSizuNu+Q3SVUiB5lVK9YSvXYwOvl1EzXjp6yLOAGis9EQasvJYw0QYlSL+MQLF0qzAEXbC3okP5CFB76O6779bq1SfTu952221KSEjQpZf+78PK+vXrNWvWLDVr1sxpxfSXX37peNyiRYsKL1T169dXXFyccnJydOTIEf3yyy9q27atUxstW1acSqD0619//bXnJwgAAKqdmMjKfdSLiazhtkzIZSewMM22FPggsdub7jUTZPS7Wubn70lFheWXi4qS0edKqWaCzAN7yy/HChJ4iRszgRG0VJYWX0Phf6G6SimQKp1SfdHzKvaiOMEshAMrryXhONEGrki/jIBim5uwE9St6FAuAtQeGjp0qO644w7NmDFDeXl5uuyyy/SXv/xFTzzxhBYvXqy//e1vGjJkiGbNmuWU3nvHjh2Ox8nJyW77adSokXbu3ClJSk1NVdu2bb1qo/Tr33//vcfnh9DiTbrUnDJSj+zLyVSc3fPVD6wsBYDqKS4qWvVi4n1K810vJl5xHnwQD7X/Q6xOsy0Fdm9Lv+1jWlQoc9U7bm/tcNMdsF4wU1mGwjUUqCyCWUD1Eo4TbeCK9MsIKLa5CUuxUTb1btjGJUB9b+dBqhUdOve5qjMC1F548cUXFRUVpRdeeEGmaWrGjBl64403ZLPZtHDhQg0ePNilzpEjRxyPExLcp+SqVet/6dkOHjzodRul6x8/flx5eXmqWdP5l6mgoEAFBQU6ceKE2/HAGpVNl/pC2mqvyrtNlwoAqJIMw1D/5HZauGuz13UHJKdU2UCDlWm2HS0GaG9Lb2+6m6Yp2fNOfi9q2CRbTe9+rtx0ByxlRSrLULiGApVBMAsAqhfSLyPg2OYGpXC9CB4C1F4wDEP//Oc/1bZtW02cOFFFRUXKy8tTXl6epk2bpk6dOqlx48ZOdTIzMx2PY2LcX6iio/93MTx27JjXbZSuX9LGqQHqqVOn6tFHH3U7Flgn5NKlAgDc8ib7hT94unK5R4NWWronVfbiIk/DDLJFRKl7g4q3FQllobIXcyD26PX2pjt/VsFb3uzdaubnuB479Jt3aZ5JI18uq1JZhso1FAAAQBLplxF4bHMDWIIAtZcKCwu1e/duJSQkqE6dOo503CtWrNDZZ5+t999/X3369HGULz3bwpOZF1FR//uRFBcXe91G6fql2yjtvvvu0913362BAwfqm2++cTsmBF+opUsFALhX2ewX3vI0+0VslE3jOpyvGWlrJZnuwgwyZOj2Dr0VW8X32Qlkmu1Kj43ZuAhhlU0jb37wnHe3dEgjXy4rU1mG8jU0HJmmyYSjKoJJPgAQAKRfRoCxzQ1gDQLUXjh06JBGjBihXbt2ae3atWrbtq0ef/xxPfPMMyoqKtKhQ4c0ePBgLV++XBdccIEk55Tc+fn5bvvIy/vfyquSdN0JCQnKyMjwqI3S9Uu3UVp0dLSio6MVGRnpdjwAAMAz3mS/yCkscNmO4c5O/RVXw/O0Ut5MZOqYlKw7OvXVrO3rVVBcVG45W0SUbu/QWx2SGnncdigLVJptbj6jOmPv1tAQCqksA3UNRfnM/FyZqWtdj8+bouIuF8ro0IuV6iGOST4AEACkX/Y7/qZ1xTY31Yc3GQ5zypiMuy8nU3F27+7PsdjQNwSoPXT06FH169dPP/74o1atWqUzzjhDkvTEE09o+PDhGj16tHbv3q38/HxdeeWV2rFjh+rWreuU8jsnx/Vifqrc3FzH40aNTt4cbty4sSNA7a6N0vUTEhIUF0d6CQAAgsGbD6TH7a4TzprEJSkhgH84d0xK1lPdRmhN+k9aujfV6bU60XEa2Ph09WjQUjWr+MrpUwUizTY3n1GdsXd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      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_id = plot_single_scatter(x=indexes_strings,\n",
    "                             y=splenium_estimate,\n",
    "                             y_std=splenium_std,\n",
    "                             title='WM - Splenium',\n",
    "                             x_label='Site#.Meas#',\n",
    "                             y_label=\"T$_1$ (ms)\",\n",
    "                             file_prefix=\"WM_splenium\",\n",
    "                             folder_path=output_folder,\n",
    "                             fig_id=fig_id,\n",
    "                             y_type='meas')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mathieuboudreau/opt/anaconda3/envs/analysis_arm/lib/python3.8/site-packages/matplotlib/axes/_axes.py:1185: RuntimeWarning: All-NaN axis encountered\n",
      "  miny = np.nanmin(masked_verts[..., 1])\n",
      "/Users/mathieuboudreau/opt/anaconda3/envs/analysis_arm/lib/python3.8/site-packages/matplotlib/axes/_axes.py:1186: RuntimeWarning: All-NaN axis encountered\n",
      "  maxy = np.nanmax(masked_verts[..., 1])\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_id = plot_single_scatter(x=indexes_numbers,\n",
    "                             y=deepgm_estimate,\n",
    "                             y_std=deepgm_std,\n",
    "                             title='Deep GM',\n",
    "                             x_label='Site #',\n",
    "                             y_label=\"T$_1$ (ms)\",\n",
    "                             file_prefix=\"GM_deep\",\n",
    "                             folder_path=output_folder,\n",
    "                             fig_id=fig_id,\n",
    "                             y_type='site')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_id = plot_single_scatter(x=indexes_strings,\n",
    "                            y=deepgm_estimate,\n",
    "                            y_std=deepgm_std,\n",
    "                            title='Deep GM',\n",
    "                            x_label='Site#.Meas#',\n",
    "                            y_label=\"T$_1$ (ms)\",\n",
    "                            file_prefix=\"GM_deep\",\n",
    "                            folder_path=output_folder,\n",
    "                            fig_id=fig_id,\n",
    "                            y_type='meas')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_id = plot_single_scatter(x=indexes_numbers,\n",
    "                             y=cgm_estimate,\n",
    "                             y_std=cgm_std,\n",
    "                             title='Cortical GM',\n",
    "                             x_label='Site #',\n",
    "                             y_label=\"T$_1$ (ms)\",\n",
    "                             file_prefix=\"GM_cortical\",\n",
    "                             folder_path=output_folder,\n",
    "                             fig_id=fig_id,\n",
    "                             y_type='site')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kyBB2dHRkLy8v/te//sUrVqzQt6v10mzMzLdu3WJ3d3d2cHAwax3Onz/P5cqV02c6OjpySEgIjx8/nmvUqJHvfT8iIyN5/PjxXKZMGbazs+NTp05pzv3qq6943LhxZq1rXpYtW6bpdRD1d6UjouaAgABWVdWs10YnLi6OGzduzC+//DInJSWZfamoVq1asaqq/Pjx43zna9KkCSckJJhsb86cOVyhQgVN2cbMnTuXPTw8eN68eUanF8bfNLOY15lZzv2bGe+X+bHm+yVz0b1nyvxeqct7/rKrRW3JkiXs5+fHZ86c0T8XHx/Pw4cP11++unTp0nzkyBFes2YNlypVimfOnMlpaWkG7aSnp/P06dNZVVVesGCBpuw5c+Zw3bp1+fLly/nOl5aWxlOmTGE7Ozvu2rVrnvNlZWVx7dq1Nd3uYfv27TxhwgRN62nKX3/9hX4sD7L1YTqi+zIR/ZioPoxZXD8msg9jZu7atSurqsr79u3TNP/zvvzyS3ZxceE//vjDrGN/kcehOCYzVJR9meh+jBl9GXPJPybr16+fyUtOMzP37duXk5KS8p2HmXnEiBHs4eFhcj5m+Y7JmG2zH2PGZ8u84LOlef2YTp8+ffT1W/N2TqANBqgBNEhOTuZy5cqxo6Mjd+/enQcPHmzR45133uFWrVpp6shmz57NycnJhbL+3bp10zRfXFwce3l5cUBAgMVZKSkp3KFDB/bx8TGrw3727Bk3btyYGzZsmOtNyFzfffcdK4pi1r048pKens4ffvghe3p6GtwDp7AGs5iZY2JieOLEiezu7m7wRjd37lzNbYSEhLCiKOzj42N2/qVLl7hGjRoGP57QrYebmxsPHDiQp0yZwp999hmPHTuWQ0JCuHr16gbzTZs2zaxMUQf+Iv6udETUjA86hor6y2dmsV/QybZ/6+D90nKF+X7JXLTvmTK+V+pyDhw4YPb6FkRaWhrXrFmT7ezsuHbt2tywYUN2dHTU12Fvb29wv7HRo0fr96POnTvzwIEDOTg4mD09PVlVVa5ZsyanpqZqyn769ClXr16d7e3tuV27djxz5kzesmUL79+/n3ft2sUrVqzgkSNHsq+vr37bbtiwId82586dyzNnztSUP3z4cE3zaeHs7Kx5Xpn6MVn7MB2RfZm1+zFRfRizuH5MdB8WGhrKiqLwjBkzNM1vzLx587hMmTL89ddfm7XfizoOxTFZbkXdl8l2TCZjX8Ysrj87cuQIq6rKX3zxRb7z3b592+Q9sm/cuMEODg5mfY8g0zEZs+32Y8z4bInPlgXvx3QuXLigz7PGiYdgHgxQA2gk6uwwazt06BC7u7tz//79+cmTJxa1kZ6ezj169DC7w75//z6/9NJLHBISwk+fPrUom5m5Ro0arKoqN27c2OI2nvfHH39w5cqVecCAAZyYmFioX1TpJCUl8bfffsuVKlViRVF41apVmpZ78OCBfl1effVVi7Lj4+P1r9nzB0f5/WLM0dGRv/vuO4syRQ6miWLtmvFBJzdrfPks477NLF/deL/MW1G+Z8r0Xqlrd/To0Ratb0GcP39e3+/nfDg7O/PGjRsN5s3KyuIBAwYY3S7e3t58/vx5s7IvXbrEXl5eJn+1riiKpr7i9u3b/MYbb2jKPnjwYKH1Y+vXry+UdoqSqH5M5j5MR1RfZs1+TGQfxiyuHxPZh2VnZ3OHDh3Y3d3d5NmH+Vm+fDnb2dkVmy9gcUxmXFH3ZbIck8nalzGL688++eQTdnV15bNnz5q1vs/TbYvy5csXqB1rQD+WN3y2xGfLgvRjOm+88Qa/9tprHB8fb3Ed2dnZHBUVxd26dSsWx0fFBQaoATQSfflUa7p69Sq3b9+eK1SowP/+978tOjjKzMzkAQMGmN1hp6Wl8ZdffslBQUF869Yts3OZWf8rtLwu5Wup+Ph47tOnD/v5+fEvv/xSZB/Ynz17xj/99JPJSynp/PXXX/p1+eGHHwqUfeTIEe7cuTM7ODjk+0sxd3d3HjlyJEdFRRUoD4oePugYZ40vn6Hkw/tl3or6PVOG98o//viDu3XrxnZ2dvzFF1+YPEuksMXFxfH06dO5e/fu3KtXL54+fTo/ePAgz/m3bdvGr7/+Or/44oscEBDA48ePz3f+/Ny+fZs7dOiQ7y/Whw4dqvnX8wMHDrRoPWQgqh+TvQ/TEdWXWaMfE92HMYvrx0T2YUlJSdy5c2cuX758ri99zbFhwwZ2cHAoNsfGOCYzzhp9WUk/JpO5L2MW1599/fXX7Ofnx/v377dovZlZf8ZlcHCwxW1YE/qxvOGzJT5bFqQfY/7nNRszZozFy+cUExNTbI6PigOFmVn0fbABios5c+bQqFGjyMXFpcBtde/enbZv314Ia1V0/vrrLwoLC6MmTZpQt27dzF6emWnSpEk0a9Yss5dNT0+nzMxMcnZ2NnvZGzdu0I0bN6hDhw5mL6vFqlWr6IMPPqDk5GRSFIWysrKKJMcckyZNIlVVaebMmaSqaoHbe/LkCe3bt48iIiIoNjaWkpKSyMXFhfz8/Khx48b08ssvU6lSpQphzcEaIiIiaMyYMXT58mX65JNPaNiwYWb/bWVlZdE777xDGzZsMGufT09Pp2+//ZZ2795NoaGhVKVKFXNXn2rWrEk3b96kuXPn0rhx48xePi+PHj2iUaNG0fHjx2nOnDn05ptv2szfNBQveL/Mmy29ZxbX98qoqChasGABpaWl0dKlSwvcXnFy+vRp2r59O126dIkSExPJzc2NGjRoQH369KF69eqJXr0SRVQ/hj7MfIXZl1mjH0MfJqYPW7duHc2dO5cURaEFCxZQUFCQ2W3s2LGD+vbtS6mpqUWwhkUDx2TG2VpfVhyPyWTuy4jE9GdRUVH0/fff05gxY6hu3bpmL//WW2/RoUOHaMuWLdSsWbMiWMOigX4sb7bUlxXHfoxI7r7sww8/pHnz5hVKWx4eHpSQkFAobckOA9QAABaIjo6mQ4cOERHRoEGDBK8NgDb4oGOcLX3IASiJ8J4JAMUZ+jAozqKjo0lVVYt+JEpEdObMGQoICCjktQIR0JcBQEmAvgwsdevWLfL29iYnJ6dCaatq1aqFsFaAAWqAYuT69et0/vx5/S+psrOzyc3NjSpUqED169enWrVqIbsE5MqcLYJs9YJxJfVDjqz7t6x9qGzZstVrC/kyb3MAACga0dHRlJWVRTVr1pQuX1S2bLnIli8bAACKBwxQA9i4M2fO0I8//kibNm2iR48e5Tuvl5cXBQcH07Bhw+jll19GdjHKlTk7J2t9+Wwr9RJhkAE1F362rPu3rH2obNmy1WsL+bJu82fPntHu3bvp5MmT+fZjLVu2pA4dOlDp0qULnAkAUNiKQ1+WlJREH3zwAcXGxtLYsWOpc+fO0uSLypYtF9nFO7s49GMAAGAhETe+BgDT4uPjuX///qyqqv6hKEq+j5zztm7dmq9fv45sG8+VOVvn9OnTPGrUKPby8jJo29jDx8eHhwwZwkeOHCm29Vq7ZlvIFZktU82y7t+y9qGyZctWry3ky7rN4+LieOzYsVy2bFmTfZju4eTkxMOHD+erV69alAkAUNhE9GW7d+/m9957j7t27co9e/bkKVOm8IkTJzQvP3DgQFZVlf39/Ytdvqhs2XKRLVe2rR6T/fnnn9y7d2+uVKkSOzo6sre3N3fs2JFXrVrFmZmZRZaLbOtmy1avLeSLrhvEwAA1QAFFRUXxli1beMmSJTxr1iz+5ptveNGiRRwWFsbXrl2zqM2IiAiuUaNGri/jXFxcuFatWhwYGMhBQUHcunVrbtq0KdevX589PDxyfVHn5ubGJ0+eRLaN5sqczWz9L59F1yuiZtG5qNl62bLu37L2obJly1avLeTLus03bdrE7u7umvovY/2Zo6Mjf/vtt2ZlFrZOnTpJly1jzSKzZaxZZLYludbuyxITE/m1117Lc8CoRYsWmn6M+Oeff+rXwRwi80Vly5aLbPmyRRyTZWdn88KFC7l169Zcv3597t27d676pk+fnudnXVVVOSAggG/fvm1WLrKtmy1bvbaQL7puLdLS0jg2Npbv37/PqampRZYDuWGAGsACRXl22JMnT7hu3bqsKAr7+fnx+PHj+ffff+fY2FiTyyYlJfGBAwd4ypQpXLNmTVYUhStXrswJCQnItrFcmbOZrf/ls+h6RdQsOhc1Wy9b1v1b1j5UtmzZ6rWFfFm3+bJly9jOzk7fH5UvX567du3KY8aM4ZkzZ/KCBQt42bJlvHLlSl64cCHPnj2bP/zwQ+7VqxdXrVrV4AuUGTNmaMosbFlZWezo6ChVtow1i8yWsWaR2ZbkWrsvy8zM5FdffdXoINHzXy6///77/OzZszzbunr1qn5erUTmi8qWLRfZ8mWLOibr3bu3wfe5ujbmzZvHzMw7d+40qN3Dw4Pfe+89/v7773nhwoU8YsQILlu2LNepU4cfPnyoORfZ1s2WrV5byBddtzHHjx/njz76iFu1aqX/MUzOh7u7OwcFBfH48eP54MGDhZIJxmGAGsAM1jg7bPbs2Wxvb89z5szJ9wDPlKysLP7hhx/YwcGBZ8+erWkZGbNlrFl0togvn0XWy4xBBtRctNmy7t+y9qGyZctWry3ky7jNL168yI6Ojuzs7Mwff/wxX7hwwezMqKgonjZtGru7u7OdnR2fPXvWgjUvmP/85z9mDeyUhGwZaxaZLWPNIrPNzRXRl61atUr/vYednR2/++67vHv3bo6IiOBTp07x5s2becyYMezl5cWKonCLFi3yPEa0ZIBaZL6obNlykS1XtqhjsrVr1xp8j1u9enVu2rQpe3h4sKqqvGPHDq5fv75+eseOHTkxMTFXO/Hx8dy1a1cePny45vVFtvWyZavXFvJF1/283bt380svvaRpbCfnPP7+/rxy5coCZYNxCjOz6PtgAxQH165do9dee42io6Mp55+Ns7MzVahQgdzc3MjR0ZHs7e3p6dOnlJqaSjExMfT48WODdlxdXWnv3r3UtGlTozmBgYE0ePBgev/99wtlvZctW0bLly+nkydPmpxXxmwZaxadPWfOHPr000/pm2++obFjx1KpUqUsyszOzqbFixfTRx99RDNnzqQJEybkOa/IeonE1CwyV2S2jDXLun/L2ofKli1bvbaQL+M2Hz58OB0+fJh2795NVatWLVBmTEwMde7cmZo1a0YrVqzIc764uDiaNGlSgbJySkhIoD179lBaWhplZWXlO6+obBlrFpktY80is0XWrCOiL+vYsSPt27eP7OzsaOPGjdSzZ0+j82VmZtLSpUtp6tSp5OnpSX/88QdVq1bNYJ6IiAiqW7cuKYqiuWaR+aKyZctFtlzZIvoxIqK2bdvSoUOHqFKlSrR582Zq1qyZvr5169bRxIkT6dGjR8TM5OvrS1FRUeTs7Gy0rfT0dGrVqhWFhYVR5cqVTa4nsq2XLVu9tpAvum6d7OxsGjduHC1cuJCIiCwZElUUhbp06UK//vprnusIFhAzLg5QvFjz7DBPT88CnTHyvIyMDC5fvrymeWXMlrFm0dkBAQE8f/78QsteunQpN23aNN95RNbLLKZmkbkis2WsWdb9W9Y+VLZs2eq1hXwZt3mNGjX4+PHjhZZ7+vRp9vf3Nzlfs2bNcl1OriAPc86MEpUtY83Y3vJki6yZWUxfprvt2ZAhQzS1efv2bX7llVe4UqVKfOXKFYNplpxBLTJfVLZsuciWK1vUMZnubM7Q0FCj048ePcqlSpViVVX5888/N9nemjVrNH9GRrb1smWr1xbyRdetM2LECP2Z0b6+vvzmm2/yrFmzeOPGjRweHs4XLlzga9eu8Y0bN/jSpUt86tQp/u2333j+/Pk8aNAgrlKlir4fe/31183Oh7xhgBpAA2tebtDHx8fi9o3Jzs7W/KWgjNky1iw6W8SXzyLrZcYggzWzZaxZ1v1b1j5UtmzZ6rWFfBm3uZeXV6HmMjP7+vqanGfHjh0mbxdk7kPrF8+ismWsGdtbnmyRNTOL6cscHBxYVVXeuXOn5jYzMjJ48ODB7O3tzWfOnNE/b8kAtch8Udmy5SJbrmxRx2S6evO71dSkSZNYVVU+duyYyfZOnz7NPXv21LR+yLZetmz12kK+6LqZmXft2sWKonBAQAD/5z//4aysLLOW19m/fz+3aNGCVfWfS5ND4bAXfQY3QHEQGhpKc+fOLfDlBlVVpTFjxlCpUqVo+fLlRi9fWrFiRdq+fTt17969QFk627Zto/Lly2uaV8ZsGWsWnW1nZ2fxJYDzas8UkfUSialZZK7IbBlrlnX/lrUPlS1btnptIV/GbW5nZ0fJycnk6upaKLlJSUnk6Ohocr7g4GAKDAykp0+f0vTp08nT09OivOzsbLpx4wb961//oujoaE3LiMqWsWaR2TLWLDJbZM1EYvoyDw8PiouLoypVqmhu197enn766SeaOHEitWvXjnbu3ElBQUEWraPIfFHZsuUiW65sUcdkPj4+9ODBAypbtmye80yYMIHmz5+vaZvcvXuXLl++rGkdkW29bNnqtYV80XUTES1atIiCg4Npy5YtBfruqm3btnTkyBHq27cvLVmyhIKDgy1uC3IQPUIOUBxY8+ywadOmsYeHh1m/UszLnj17uFy5cvzZZ59pml/GbBlrFp3dqFEj3rZtW4FzdbZu3cqNGjXKdx6R9TKLqVlkrshsGWuWdf+WtQ+VLVu2em0hX8Zt3qVLFx47dmyBM3XGjRvH7du31zTv9u3becKECYWS+9dff5l15qGobBlrFpktY80is0XWLKIv69q1K6uqyvv27bMo48svv2QXFxf+448/LDqDWmS+qGzZcpEtV7aoY7J+/fqxqqocHR2d73x9+/blpKQkk+2NGDGCPTw8NK0jsq2XLVu9tpAvum5m5kqVKvHt27fNWiY/MTExXLVq1UJrT3YYoAbQwJqXG3z48CF7e3uzqqrcqlUrXrJkCUdFRWlu+++//+bVq1dzx44dWVVVdnV15ZiYGE3LypgtY82is0V8+SyyXmYMMlgzW8aaZd2/Ze1DZcuWrV5byJdxm2/YsIEVReG+fftyZGSk5rzn3b59mwcOHMiqqvL69es1Lzd8+HCLM5/n7Oxs1vyismWsWWS2jDWLzBaVK6IvCw0NZUVReMaMGRbnzZs3j8uUKcNff/212QPUIvNFZcuWi2y5skUdkx05coRVVeUvvvjCZLvZ2dn5znPjxg12cHBgR0dHTeuKbOtly1avLeSLrpuZ2dvb26z5tdBy6wDQRmFmFn0WN4Cta9y4MU2fPr3QLjf422+/0RdffEFnz541Ov3PP/+kkJAQSk5O1j/n6upK1apVo4oVK5KrqyuVLl2aFEWhtLQ0SklJoXv37lF0dDQlJCQQEREzk6qqFBYWZtZ6y5gtY80is+Pj46lu3boUHx9PQUFBNHDgQOrQoQPVrFlT0/K3b9+mAwcO0Lp162jfvn3k7OxMERERVKFCBZusV2TNonJRs/WzZdy/RdeNbOtly1avLeTLuM07duxI+/btI0VRqFmzZtShQwcKCAig6tWrm8w9e/YsHThwgA4fPkzZ2dnUpEkTOnr0qOZbFhw6dIgCAwPJxcVF83bKy88//0wDBgzQPL+obBlrFpktY80is0XWbO2+jJmpU6dOdOrUKfrrr7+oatWqFtW5YsUKGjlyJGVnZ5OiKJSVlaVpOZH5orJly0W2fNmijsk+/fRTWrhwIf3555/UqFEji+olInrrrbcoNDSUfH196d69e5qWQbb1smWr1xbyRdddtWpVOnToEFWrVs3i7Jxu3LhBnTt3psjIyEJpT3rWGQcHKN5EnB128eJFrlGjBiuKon+oqprvI+e8VapU4b1791q0jjJmy1izyOxDhw6xu7u7Qbvu7u780ksv8WuvvcZ9+/bld955hwcNGsT9+vXjbt26cWBgIHt6ehqsh52dnVmXFha5rUXVLCoXNVs/W8b9W3TdyLZetmz12kK+bNs8OTmZu3Tpoikrv3WoU6cO379/36K6AQAKSkRflpSUxJ07d+by5cvzxo0bLV73DRs2sIODA6uq9jOoReeLypYtF9lyZYs8Jvv666/Zz8+P9+/fb0mpzMz6z7jBwcHIttFs2eq1hXyRdQ8cOJDbtWvHT548sThb5+nTp9y+fXvu06dPgduCf2CAGkADUZcbzMjI4JUrV3KDBg0MvnTL62FnZ8fNmzfnZcuWcWpqakFKljJbxppFZov64lvktsYgA2ou6mwZ92/RdSPbetmy1WsL+bJt88zMTJ46dSq7u7trysz5cHZ25vHjxxfK6w0AUBCi+rK1a9dy48aNOSAggMPDwy1a9+3bt3OZMmUsWlZkvqhs2XKRLU+2yGOyyMhIHjNmDF++fNmi5QcMGMCVKlXiEydOINuGs2Wr1xbyReUeP36cVVXlmjVr8ooVKzTd6/p5T58+5fXr13Pt2rVZVVU+dOiQ2W2AcbjEN4BGoi/xGBcXR0ePHqWIiAh69OgRJSQkkKIo5OrqSpUqVSJ/f39q0aIFlStXrlDrljVbxppFZGdmZtLatWtp3rx5dPHiRZPzq6pKTZo0oWHDhtHAgQOpTJkyBcoXsa1F1SxyW6Nm6+/bRHLt3znJ1IfKnC1bvbaQL9M2T0pKouXLl9O+ffvo+PHj+mP553l5eVFQUBB16dKF+vfvT+7u7oWSDwBQGET1ZdHR0aSqKlWpUsWi5c+cOUMBAQHFMl9Utmy5yJYnG8dkAFAYJk2aRLNnzyZFUcjBwYGaNGli1q0DTp48SampqcTMNGTIEFqxYoXokkoMDFADmOHSpUsUEhJCN2/e1D+nKEq+y+T8E/Pz86OVK1dS+/bti2wdAYor0V/4i4BBBtRcUvdtInnrBoCSJzY21mg/VrZsWdGrBgCgGfoyACju0I8BgKW++uor+vzzz4mZTY7nPE83vvP222/TypUrNd3XHrTBADWAmUScHfbs2TPavXs3nTx5ks6fP0+xsbGUlJRE2dnZ5ObmRhUqVKD69etTy5YtqUOHDlS6dGlLSkO24FyZs0WQrV6Qi6z7t6x9qGzZstVrC/kyb3Nrk3Fby1izyGwZaxaZLVsfRiS+ZuxnJT8X2fJliyDrtpYtW7Z6bSFfZN379u2j6dOn0+HDh81armXLlvTpp59St27dCm1d4P8TdGlxgBIhNjaWt27dyt9++y1PmjSJR4wYwSNHjuQJEybwvHnzeOfOnRwfH29x+3FxcTx27FguW7asyft46h5OTk48fPhwvnr1aoFqkzFbxppFZ+ukp6fztm3beMqUKRwSEsItWrTgevXqcZ06dbhZs2bco0cP/uyzz3j79u389OnTYl8vs3VrtoVckdky1Szr/i1rHypbtmz12kK+zNvc2mTc1jLWLDJbxppFZsvWhzGLrxn7WcnPRbZ82SLIuq1ly5atXlvIF113TmfOnOFZs2Zxz549uW7duuzr68sODg7s6OjIXl5e/NJLL3GfPn143rx5fOXKlULNBkMYoAawUZs2bWJ3d3dWVZUVRTHroaoqOzo68rfffotsG8+VOZvZ+gcnousVUbPoXNRsvWxZ929Z+1DZsmWr1xbyZd7mlrp58yYPHjyYBwwYwJGRkZqXk3Fby1izyGwZaxaZXVz7MB1L+jLRNWM/K/m5yJYvuyBwTIZsW8u0hWyR+aLrBtuFS3wDWKgoL0fx448/0ujRoyk7O5uIiHx9fSkgIICqV69OFStWJDc3N3J0dCR7e3t6+vQppaamUkxMDN26dYtOnz5Nf//9NxH9c3/sL7/8kqZMmYJsG8yVOZuIaPPmzTRs2DBKTk4mc9+KFEWhUqVK0fTp0+njjz8uFvUSWb9m0bkis2WrWdb9W9Y+VLZs2eq1hXyZt3lBNGrUiC5cuEBERA0aNKBz586ZXEbGbS1jzSKzZaxZZHZx7sN0zO3LRNeM/azk5yJbvuyCwjEZsm0p0xayReaLrjs/169fz3dcp1atWoWWBXkQNjQOUEwV9dlhFy9eZEdHR3Z2duaPP/6YL1y4YPY6RkVF8bRp09jd3Z3t7Oz47NmzmpaTMVvGmkVnMzMvW7aM7ezs9L+GK1++PHft2pXHjBnDM2fO5AULFvCyZct45cqVvHDhQp49ezZ/+OGH3KtXL65atarBr+hmzJhh8/WKqFl0Lmq2Xras+7esfahs2bLVawv5Mm/zgvL19dWfFeDj42Nyfhm3tYw1i8yWsWaR2cW9D9Mxpy8TXTP2s5Kfi2z5sgsDjsmQbSuZtpAtMl903cacPn2aR40axV5eXibHdHx8fHjw4MF85MiRAmVC3jBADWAGa1yO4t133+XatWtzdHR0gdf37t27/OKLL/LQoUM1zS9jtow1i84WcXAisl5mOQ8EUbP1smXdv2XtQ2XLlq1eW8iXeZsX1NatW7lixYpcoUIF3rhxo8n5ZdzWMtYsMlvGmkVmF/c+TMecvkx0zdjPSn4usuXLLgw4JkO2rWTaQrbIfNF15xQfH8/9+/c3GIDWMp6je7Ru3ZqvX79e4DrAEAaoATSy1tlhNWrU4OPHjxfaep8+fZr9/f01zStjtow1i84WcXAisl5mOQ8EUbP1smXdv2XtQ2XLlq1eW8iXeZtbm4zbWsaaRWbLWLPIbNn6MGbxNWM/K/m5yJYvWwRZt7Vs2bLVawv5ouvWiYiI4Bo1auQalHZxceFatWpxYGAgBwUFcevWrblp06Zcv3599vDwyDVg7ebmxidPniy0egAD1ACaWPPsMC8vrwKubW6+vr6a5pMxW8aaRWeLODgRWS+znAeCqNl62bLu37L2obJly1avLeTLvM2tTcZtLWPNIrNlrFlktmx9GLP4mrGflfxcZMuXLYKs21q2bNnqtYV80XUzMz958oTr1q3LiqKwn58fjx8/nn///XeOjY01uWxSUhIfOHCAp0yZwjVr1mRFUbhy5cqckJBg4drD81TR98AGKA6+//57qlatGl26dIm+/fZbevHFF81uo2bNmvTll1/S5cuXqW7durRgwQKj89nZ2VFycnJBV1kvKSmJHB0dNc0rY7aMNYvOTkpKoubNmxdadkBAACUmJuY7j8h6dfNbu2aRuSKzZaxZ1v1b1j5UtmzZ6rWFfJm3ubXJuK1lrFlktow1i8yWrQ8jEl8z9rOSn4ts+bJFkHVby5YtW722kC+6biKixYsXU2RkJM2ePZuuX79Oc+bMoc6dO5O3t7fJZV1dXalNmzY0Y8YMunbtGi1YsIBiY2Np+fLllpYAz8EANYAG+/fvp9WrV1PVqlUL3FbFihVp9erVdOTIEaPTGzduTFOmTClwjs7nn39OtWrV0jSvjNky1iw6W8TBich6ieQ8EETN1suWdf+WtQ+VLVu2em0hX+ZtbsydO3for7/+omPHjtH58+cpISGhkNZOzm0tY80is2WsWWS2LfZhOkXVl4muGftZyc9FtnzZecExGbILmi1bvbaQL7puIqLQ0FCaO3cujR8/nkqVKmVxtqqqNGbMGFqwYAH9+uuvFrcDzxF9CjdAcWDNy1Fs2LCBFUXhvn37cmRkpMXt3759mwcOHMiqqvL69es1LSNjtow1i87u0qULjx071uLM540bN47bt2+f7zwi62UWU7PIXJHZMtYs6/4tax8qW7Zs9dpCvszbXGfXrl3cq1cv9vT0ZFVVcz38/Px40KBB/Pvvv1u8jsxybmsZaxaZLWPNIrNtpQ/TsUZfJrpm7GclPxfZ8mXnhGMyZBdmtmz12kK+6LqZmT09PfnZs2cWZz8vIyODy5cvX2jtyU5hZhY9SA5g68qXL0+RkZHk6upaKO0lJSVRgwYN6NatW0and+zYkfbt20eKolCzZs2oQ4cOFBAQQNWrV6eKFSuSq6srlS5dmhRFobS0NEpJSaF79+5RdHQ0nT17lg4cOECHDx+m7OxsatKkCR09epTs7Ow0rZuM2TLWLDL7l19+of79+1OfPn1o5syZ9MILL2ha3+fduXOHPv30U/r5559p7dq1NGDAAJusV2TNonJFZstYM5Gc+7foupFtvWzZ6rWFfFm3+fXr12no0KH6Kx3l/KisKEqu/xMRNW3alL755htq06aNpgxbqhf7lxzZMtYs6/bWsXZfJrpm7GclPxfZ8mXjmAzZ+GxZct4vRdft6+tLDx480Dy/KcxMFStWpHv37hVam1ITNjQOUIxY++yw5ORk7tKlCyuKYvQXgloeiqJwnTp1+P79+2atm4zZMtYsOrtDhw763BYtWvCUKVN4y5YtfPbsWX7w4AGnpqZydnY2MzM/ffqUHz58yBcuXODt27fz9OnTuW3btmxvb8+qqnKzZs04MzPTpusVVbPIXNRs3WxZ929Z+1DZsmWr1xbyZdzm58+fZ29vb/3yWh+6zHHjxplVp+h6RWbLWDO2tzzZot83RPRlomvGflbyc5EtVzaOyZBdlNmy1WsL+aLrbtSoEW/bts3s5fKydetWbtSoUaG1JzsMUANoIOJyFJmZmTx16lR2d3c364BMURR2dnbm8ePHc2pqqkXrKWO2jDWLzBZ1cCJyW8t4IIiarZst4/4tum5kWy9btnptIV+mbZ6SksLVq1dnRVHYz8+PJ0yYwGFhYXzx4kVOSEjg9PR0ZmbOysri7du3c7169XjNmjUcEhLCdnZ2+r6vd+/enJGRYfP12kK2jDWLzJaxZpHZonJF9mWyvleKzJYtF9lyZOOYDNnWyJatXlvIF1n3tGnT2MPDg3fu3GnR8jnt2bOHy5Urx5999lmB24J/YIAaQCNRZ4clJibyd999x127duVy5crl2Vl7e3tzjx49ePHixfz48eNCqVnGbBlrFpUt8uBE1LaW8UAQNVv/A4ds+7foupFt3WzZ6rWFfBm2+axZs9je3p7nzZvHWVlZJuefPHkyb968mZmZr1y5wq+//joryj+fEwpy1SUZtrWt5MqaLWPNIrOtnWsLfZms75Uis2XLRXbJzraFfoxZjm2NbPnqtYV8EbkPHz7UX5WhVatWvGTJEo6KitK8/N9//82rV6/mjh07sqqq7OrqyjExMQVaJ/gf3IMaQKMnT55Qnz59aPfu3fr7m5iLmal27dp08OBB8vX1taiN2NhYevToESUkJJCiKOTq6kqVKlWismXLWtQesm0zV6bspKQkWr58Oe3bt4+OHz9OCQkJRufz8vKioKAg6tKlC/Xv35/c3d0LbR2sva1F1SxyW6NmMfs2kTz79/Nk6UNlz5atXlvIL4nbvHnz5tSrVy+aNGmSpvmvXr1KX331Fa1bt07/3M8//0zDhw+ntLQ0+uWXX6h3794FWieikrmtbTVX1mwZaxaZXdS5ttiXyfpeKTJbtlxkl6xsW+zHiErmtka2bWTaQrbIfGvl/vnnnxQSEkLJycn651xdXalatWom74Ot+06LmUlVVQoLC6Pu3bsX6vrJDAPUAGbIysqiL7/8kubPn09JSUlmLevk5ESjRo2iGTNmUJkyZYpoDQGKP9EHZSKU9ANBW8qWsWbRZK0bAIoPb29vio6OJmdnZ03zZ2dnU+PGjemvv/4yeD48PJyCg4PJxcWFIiMjccwPAFaFvgwAijv0YwBQVC5dukQhISF08+ZN/XOmTkLMOXTq5+dHK1eupPbt2xfZOsoIA9QAFrCVs8MAAAAAAKBg/Pz86Pbt25rnT0tLo2rVqtH9+/dzTdu5cyf16NGDZs6cqfnsHwCAwoC+DACKO/RjAFCUMjMzae3atTRv3jy6ePGiyflVVaUmTZrQsGHDaODAgfixSxFQRa8AQHHk5uZGH330Ee3cuZPi4+Pp/v37dPnyZQoPD6ejR4/ShQsX6NGjRxQbG0tbt26lUaNGWX1wOjo6moYMGUJvvfUWRUVFIbuE5sqcLYJs9YJcZN2/Ze1DZcuWrV5byC9O29zd3d3oF5t5CQ0NzfPX9sHBwfT+++/T4sWLNbdXUMVpWxf3XFmzZaxZZLalucW5L5P1vVJktmy5yC4e2cW5HyMqXtsa2cUr0xayReYXVq69vT0NGTKEzp8/Tw8ePKCwsDD65ptv6OOPP6bhw4fTiBEjaPz48TR37lzasWMHxcbG0vHjx2n48OEYnC4qwu5+DQBF6qWXXmJVVVlVVX7ppZeQXUJzZc6+efMmDx48mAcMGMCRkZFWyRRZL7OYmkXmisyWsWZZ929Z+1DZsmWr1xbyi9M2nzBhAvfs2ZPT09NNzrt37152c3PjoKCgPOdJTExkLy8vPnfunDmrbbHitK2Le66s2TLWLDLb0tzi3JfJ+l4pMlu2XGQXj+zi3I8xF69tjezilWkL2SLzRdcNRcde9AA5ABQN3S8OmZnu3buH7BKaK3N2z5496cKFC0T0z31Ezp07V+SZIuslElOzyFyR2TLWLOv+LWsfKlu2bPXaQn5x2uYffvgh1a5dm+rUqUNDhgyh9u3bU926dals2bKUnp5OMTExdPLkSQoNDaUdO3YQEdHrr7+eZ3tubm40ePBg+vPPP+mll14qnKLyUZy2dXHPlTVbxppFZluaW5z7MlnfK0Vmy5aL7OKRXZz7MaLita2RXbwybSFbZL7ouqEIFdHANwAYYc2zw7Zu3coVK1bkChUq8MaNG4s0C9ly1iw629fXl1VVZUVR2MfHxyqZIutlFlOzyFyR2TLWLOv+LWsfKlu2bPXaQn5x2+YbN25kOzs7/S/z83ooisL+/v6cmpqab3vnz5/nQYMGFUI1phW3bV2cc2XNlrFmkdkFyS2ufZms75Uis2XLRXbxyS6u/Rhz8dvWyC4+mbaQLTJfdN06Bw8e5D179gjLL4kUZmbRg+QAsmjUqJH+7LAGDRpY9Yw8gJLmt99+o/fee4+YmebPn0+9e/cWvUpFTlTNIrc1apZj3yaSt24AsB07duygwYMH06NHj/Kcp169erRt2zaqUaOGyfY6d+5Mu3fvLsxVBAAwCX0ZABR36McAwNaMGjWKfvzxRyIiGjJkCC1fvlzwGpUMGKAGsKLy5ctTXFwcMTN5e3vTgwcPRK8SAAAAAAD8f8nJybR06VLasWMHXbp0iRITE8nNzY0aNGhAffv2paFDh5Kjo6Omtu7du0cVKlQo4jUGAMgNfRkAFHfoxwDAlri7u9OTJ0+ImcnV1ZUSExNFr1KJgAFqACvC2WEAxUtSUhL17NmTFEWhffv2iV4dAAAAAAAAAAAAALCioUOH0qpVq4iIaODAgbRmzRqxK1RCYIAaoAQ6d+4cbd26lUaOHGn1XwjKmC1jzaKzrSU+Pp68vb1JURTKysoSvTpQgiQlJdGuXbvo3LlzlJCQQM7OzlSzZk3q0KED+fv7m9WWm5sbdevWjd544w3q2rUrlSlTpojWuvi4c+cOxcfHU2pqKjk7O5Ofnx95eHggu4Rly1avLeTLvM2tTcZtLWPNIrNlrFlktmx9GJH4mrGflfxcZMuXLYKs21q2bNnqtYV80XVbYu/evZSdnU0dO3YkRVFEr07JYO2bXgOAebKzszk2NpYfP35s1nJ79+7lcuXK8ZtvvsmHDx9Gto3nypxtyuPHj/mPP/7g0NBQ3rlzJ9+9e7dIcox5+PAhK4rCqqpa3Mbq1av5v//9r1nLREZG8rFjx/jChQscFxdXrHJFZousedKkSZrn/e6779jd3Z1VVTX66NatG//999+a29Pto6qqsrOzM/fp04c3bNjAT548saSUAsnKyuLY2FiT88XHx/OMGTP41Vdf5dq1a3NQUBBPnTqV4+PjLc7etWsX9+rViz09PY1uVz8/Px40aBD//vvvFmcgW3y2bPXaQr7M29zaZNzWMtYsMlvGmkVmy9aHMYuvGftZyc9FtnzZIsi6rWXLlq1eW8gXXTfYHgxQA9ioyMhI7t+/P7u6uuo76UqVKvF7773Hly9f1tTGggULWFEUtrOzQ7aN5sqczcx848YNPnXqlNGB8aSkJB42bBg7ODjkOmBp06YNnzhxQnPO6tWrLXosXLhQP/hnbLoWFy9eZFVVOTAwkLdv357nfElJSTx+/HguV65crnrr1q3LM2fO5LS0NM01i8qVteZ+/fpxdna2yfkmTJigz1IUxehDVVX28fHR/DeoWyYwMJDt7e31/3dycuLXX3+d169fz0lJSWbVY67MzEz+7LPPuGzZsqyqKpcpU4bffPNNoz8o2b9/P3t5eeXaDqqqcoUKFfjixYtmZUdFRXHr1q2Nbldj/1dVlZs3b84HDhwocN3Itl62bPXaQr7M29zaZNzWMtYsMlvGmkVmy9aHMYuvGftZyc9FtnzZIsi6rWXLlq1eW8gXXTfYLgxQA9igffv26c+uy9lB6zppOzs7Hj58uMmzXc+ePatfBtm2lytz9tWrV7lZs2b6g45SpUrx8OHDOTU1lZmZ09PTOTAw0Oi66R729va8bt06TXk5D3DMfTx/gKR7mDMgr1u+YcOGRqdHRUVxrVq18q1XVVWuV68eX7t2zeZzZax54sSJvHv37nznOXbsmD7D2dmZe/bsyZ9//jkvXLiQV6xYwd9//z2PGTOGa9WqxYqicM2aNTUNlOvWOSIigmNjY3nx4sXcrl07g8Hq0qVLc/fu3Xn16tWckJCguS6tBgwYYHSbVq9enR8+fKif788//+QyZcoYzNO0aVN+8803uU2bNmxvb88vvPCCvi8w5fz58+zt7Z3v65nXa6yqKo8bN87impFtvWzZ6rWFfJm3ubXJuK1lrFlktow1i8yWrQ9jFl8z9rOSn4ts+bJFkHVby5YtW722kC+67vxERUXxli1beMmSJTxr1iz+5ptveNGiRRwWFmb296BgGQxQAwiSVyd37949LleunEGHXLFiRW7ZsiXXr1+f3dzc9M9XqVKFT548mWfG1atX9R26FjJmy1iz6Oy4uDiuUKGC0QOTl19+mZ89e8aTJ0/WP2dnZ8dDhgzhkydP8uPHjzklJYWPHTvGb7/9Njs4OPChQ4dMZn7zzTfs6Oho1oGQlgMlrXTz161bN9e0e/fuceXKlQ3abt68OS9ZsoRPnjzJ165d4/379/NHH33Erq6uXKNGDb5//75N58pYc2hoKPfp0yffeQYNGsSKovD//d//cWJiYr7zbty4kT08PHj+/Pkms3U1R0REGDyf12C1g4MDv/baa7xixQqDwWNLbd26lRVF4fbt2/P27dv58uXLfOjQIf7ggw+4TJky3Lt3b2Zmvnv3Lvv4+OjXw9/fn0+fPm3Q1pkzZ9jHx4cXLlxoMjclJYWrV6/OiqKwn58fT5gwgcPCwvjixYuckJDA6enpzPzPZce3b9/O9erV4zVr1nBISAjb2dnp16N3796ckZFhVs3Itl62bPXaQr7M29zaZNzWMtYsMlvGmkVmy9aHMYuvGftZyc9FtnzZIsi6rWXLlq1eW8gXXbcxp0+f5lGjRhlc2S+vh4+PDw8ZMoSPHDlSKNmQGwaoAQTx9PQ0+vzHH39sMMBirAM8deoUv//+++zm5salS5fmX3/91Whb5g4cypgtY822lN2oUSP+8ssveeHChTxmzBguV64cDxs2jF1dXfXz5DdQtXr1am7RooWm3LNnz3K9evW4WrVqvGnTJj548KDJh27gTVVVo9O1ym/QNDg42GDQ+7vvvsuznejoaG7cuDF369bNpnNFZovKjYmJYXt7+1wDrjnVrl2bhw4dqqk9ZuawsDBu3bq1yfnyGqDOKS4uzuhgdalSpbhjx468dOlSTfeONqZr16551nX48GF2d3fnPXv2cKdOnfS5NWvW5AcPHhhdZs2aNdyhQweTubNmzWJ7e3ueN28eZ2VlmZx/8uTJvHnzZmZmvnLlCr/++uv69Rk7dqzJ5ZEtJlu2em0hX+Ztbm0ybmsZaxaZLWPNIrNl68OYxdeM/azk5yJbvmwRZN3WsmXLVq8t5IuuO6f4+Hju37+/wQC07jvCvB45523dujVfv369QOsAuWGAGkCAx48fs6IoRqe9+OKLrCgKV6hQweRgwYMHD7hPnz5sZ2fHixcvzjXd3IFDGbNlrFl0dr169VhVVQ4ODs7167dHjx5x27Zt9e0FBQWZbG/w4MGazqJmZn769CmPGTOGK1SowP/5z39Mzv/w4UOzastLXoOmp0+fNjjgmT59usm2Hj16ZPKsdtG5IrNF1tysWTMODAzM87Lcnp6efOXKFU1t6VSpUsXkPFoGqHOKi4vjJUuW5Bqstre357Zt2/LChQs5JiZG8zr6+voavde0zqpVq9jDw0N/8O/g4JDvNk1JSWFfX1+Tuc2aNeNvvvlG83peuXKF33rrLYPn1q9fz05OTqyqKm/cuFFzW8i2XrZs9dpCvszb3Npk3NYy1iwyW8aaRWbL1ocxi68Z+1nJz0W2fNkiyLqtZcuWrV5byBddt05ERATXqFEj16C0i4sL16pViwMDAzkoKIhbt27NTZs25fr167OHh0euAWs3NzfN3xGCNhigBrCyx48f85gxY/Ic8HJxcWFVVfnrr7/W3ObixYvZwcGBZ82aZfC8uQOHMmbLWLPo7DJlyrCqqnzmzBmj05OSkrhq1aqsqiqvXr3aZHt79uzhTz/9VFO2zq5du7hChQo8evTofO91W9QD1B999JHB2eRafk3IzLxo0SJN92ARlSsyW2TNP/30EyuKwgMGDODs7Oxc02vXrq2pnZzKlStnch5zB6hz0g1Wt2/fPtdgtVamBpOTkpL0HyZUVeUpU6YUuE1mZi8vL37y5Inm9czKyjJ6b/IjR46wu7s7V6pUSfO9r5FtvWzZ6rWFfJm3ubXJuK1lrFlktow1i8yWrQ9jFl8z9rOSn4ts+bJFkHVby5YtW722kC+6bmbmJ0+ecN26dfWXGR8/fjz//vvvmq4imJSUxAcOHOApU6ZwzZo1WVEUrly5MickJJi1DpA3DFADmBAbG8sODg4Gl3QorIcxui/xw8PDzVrPPXv2sKurK0+dOlX/nLkDhzJmy1iz6GxnZ2e2t7fnZ8+e5TnPr7/+yqqq8uXLl022d/LkSX755Zc1ZecUFxfHPXr0YH9/fz516pTReYp6gFp3gGTurwDDw8O5WbNmNpsrMltkzZmZmdygQQNWVZV79erFT58+NZj+yiuvmHUgffz4ca5WrZrJ+QoyQJ1TXFwcL126VD9YrZW3t3e+A/5jx47Vr6O/v7/+HkN5SUpKYg8PD5O5lStX1ryOzP9cQSGvge8dO3awnZ2d5l/2Itt62bLVawv5Mm9za5NxW8tYs8hsGWsWmS1bH8YsvmbsZyU/F9nyZYsg67aWLVu2em0hX3TdzMyzZ89me3t7njNnTr7fRZuSlZXFP/zwAzs4OPDs2bMtbgcMYYAaQIPhw4ebvCeBuY+8Brz8/f1ZVVU+d+6c2et5/PhxLleuHH/wwQfMbP7AoYzZMtYsOrthw4ZsZ2eX52WQmZmzs7O5atWqHBcXZ7K9n376SdNlkPOybNkyLlu2LE+fPj3XIFtRDlDnbNvX15czMzM1t7dixQr28vKy2VyR2SJrZmY+c+aM/ioBL7zwAu/evVs/7dNPP9V8OfonT55wQEAAh4SEmJy3sAaoc9Lyt6fTsmVLPn78uNFpv/32m/5HWaVKlWJPT0++dOlSvu0tWrSIAwMDTebWr1+f7927p3k9V65cyeXLl89z+rhx47hq1aqa2kK29bJlq9cW8mXe5tYm47aWsWaR2TLWLDJbtj6MWXzN2M9Kfi6y5csWQdZtLVu2bPXaQr7oupmZAwICeP78+WYtk5+lS5dy06ZNC6092WGAGkCD6OhoLlWqFCuKwmXLluVq1apZ9KhSpYq+nbwGvIYPH86qqnJYWJhF6/rXX3+xr68vDx06lC9fvmzW4JqM2TLWLDr7008/ZVVV+dixY/nON2PGDE5JSTHZXvPmzdnJyUlTdl6uXbvGzZs35+bNm3NUVJT++cIaoF68eDH7+/uzoij82muv8dGjR3n37t36tt944w3NbaWmpnKtWrXYwcHBZnNFZousWSc0NJTt7Oz0A7MvvfQSz507l1euXMmvvvqqycuLb9++Xf8jEi1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      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_id = plot_single_scatter(x=indexes_strings,\n",
    "                             y=cgm_estimate,\n",
    "                             y_std=cgm_std,\n",
    "                             title='Cortical GM',\n",
    "                             x_label='Site#.Meas#',\n",
    "                             y_label=\"T$_1$ (ms)\",\n",
    "                             file_prefix=\"GM_cortical\",\n",
    "                             folder_path=output_folder,\n",
    "                             fig_id=fig_id,\n",
    "                             y_type='meas')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Subplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/l1/1xswjffd73l8yp7dd7pq9lyw0000gn/T/ipykernel_36138/639034575.py:18: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  axs[1].set_xticklabels(labels=x2, rotation=90)\n"
     ]
    },
    {
     "data": {
      "image/png": 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xxibl9cU+bZp9Wu7tjONw4R+HlXgMfvdDiJxUH0jUr19fY1x0cnLiTz75hHfv3s1paWmS2/Uuf39/Xrx4sdZlz5494xo1avCiRYu4evXq6uz27dtzdna21nVOnjzJjRs31pk7YcIEdnV15YsXL0pqZ2BgIAcGBjLz20mbn3/+me3s7FgURW7Tpk2e7SlMf/75Z5E+NmC8wv8NhTFmyTVeKXGsWr9+vbovFhYWPHz4cD548CCHhYXxxYsXeefOnTx27Fh2dXVlQRC4WbNmHBMTo7UuqX/DeJ9l/uOW0sYsZoxbuhhr3Nq0aZPGNqxcuTI3btyYnZ2dWRRF3rdvH9epU0e9vEOHDpyYmJirnvj4eO7SpQuPGDEi3zyMV+Y/XjFjzHqXOY5ZhUnJt4QyNkxQA8hE29ljycnJGvdxMcZD6huRSpUqsSiK7OPjI+k+JsuXL2cbGxv++OOPc5XX5w1QxYoVWRRFnjBhgtblEydOVNfVp08fnfXNmDGDd+7cqbMc89vtPXjwYK5YsSIfP35c0jqxsbGS+6ZNXm+A9u3bp/EG4I8//tBZV3Z2Nvv7+0sqGxAQwO7u7vz48WOty11cXPT+BmvFihV1lpHjjb2cf0f4sNi8/4mR6/XFPm2afVrO7cyM47ApjsNKOwYz5/8hRE5hYWFaP5Cwt7fn/v37844dO3J9e10XFxcXfvXqVZ7Lz549q/6ykSAI7O7unu92yMjIYHd3d525tWrV4l27dklu59OnT7l79+4az927d4+rVavGoijyd999l+/6MTExBl/VQ9ujZ8+ebGNjU6SPDRiv8H9DYYxZco1XShmrcmrfvj0Lwtv7OIaEhORZLiMjg5cvX87Ozs5crVo1fvjwYa4yUv+G8T7L/MctpY1ZzBi3dDHWuNW6dWsWBIErVKigcZZqRkYG//rrr+qxRRDefkk+v22TlpbGjRo1ynN/YcZ4pYTxihljVn7MZcwqTG5ubrLmmxNMUAPIIL+zx+bOnWv0CRcpB+uSJUuyKIq8du1ayf24dOkSe3p6co8ePTg9PV39vD5vgFRnXkZGRuZZplWrViyKb78VqUtoaCiPGTNGWgf+vx07drCbmxt//fXXnJGRkW/ZuLi4QnkDlHMi5sMPP5Rc39atW3nQoEE6yx09epQFQeCGDRtybGxsruX16tWTnMn89tuvTk5OOsvJ9cZerr8jfFicmzn9EyPn64t92jT7tFzbmRnHYVMch5V2DGaW/iFETnl9IGFra8t9+vTJ9xv/OZUpUybf5ffv31dfOk8URd68ebPOOqV8EODs7Kz3Wc81atTI9dzz58+5Zs2abGNjw0+ePMl3fdWXZJRybMB4hf8b9CF1zJJrvFLSWKWiem83ZMgQSeUfP37M7733HpcvX57v3LmjsUyfv2G8z9LOXMYtpY1ZzBi3pDDGuKU6Uzo4OFjrctVlgUVR2qT3xo0beenSpfmWwXilnbmMV8wYs6QqzmNWYUlNTTV4v4PcBOYcd3kHgFzS0tLowoULRqsvISGBFi5cSGfPnqWsrKxcy1+9ekVeXl6UkpJCHTt2JBcXF4NysrOz6cGDBxQaGkqCIGjNysnJyYmSk5Pp4sWL5OvrKznn8ePH1LlzZypfvjzt3r2bbGxsKCwsjGrVqiUp19nZmVJSUujNmzd5ljl//jz5+/tTeHg4ValSJd/6Tp06RV988QVdvnxZch+IiKKiomjw4MEUExNDW7ZsoTp16mgtFx8fT25ubpL6po0oiiQIAtWoUYNu376tfr5ChQoUFRVFgiDQ6dOnqXnz5pLqCw0NpVGjRtHNmzd1lu3Vqxft3r2bqlevTrt27dLoY6dOnSg4OJhKly4tKXf79u00bdo0CgsL01n2f//7H02bNk1SvVLp2v5y/R0RydNfIqJSpUrRmzdv6JdffqGhQ4dKqvfy5cvUs2dP8vX1pd9//52srKyIiPT6G7a2tqbMzEx68OABeXl5aS3z/vvv0+nTp2nPnj3UtWvXfOs7c+YMbd68mVasWCGpD0REO3fupDFjxtCQIUNo7ty5ZGlpmWfZgv4Ny/X6Yp82zT4t53bGcbjwj8NKPAar+nznzh3y9vaWVH9O9+7do99//522b99ON27cICJpf79EROXKlaMHDx5QyZIltS5v3749HT16lARBIF9fX7p48WK+9T158oR8fHwoNjY233KVK1emhw8f6myfSlxcHNWoUYPi4+NzLQsPD6cmTZpQ//798z0u7d+/n7p37y45U4qifGzAeIX/GwpjzJJrvFLSWKWiev++d+9e6tKli6T8zMxMGjFiBO3fv58OHjxIPj4+RKTf/w14n6WduYxbShuziDBu6WKscUs1ZsXHx5OTk5PWMt988w0tXLiQQkNDqVmzZvnWd/nyZZozZw6FhITkWQbjlXbmMl4RYcxSwphVWH744QeaNm2aQfsdaCH3DDlAUSfH2WPff/89jx8/3ijtX7NmjaRv9fj6+rIoipLvJZNTbGws+/j4cIsWLTgpKUmvb+i1bNmSRVHkly9f5luuUaNGnJCQoLO+RYsWcdmyZaU281ZeOAAAXcJJREFUPZfFixezs7MzL1myROtyY3xDTxAE9vLyUl8O5eHDh+o6vb299apvzpw57OjoKKlsXFwcV6hQgQVBYGtra54yZYr6kimLFy/m3377TVI9165dYzc3Nx4+fLik8snJyVy6dGm2trbm7t278+DBgw16fPrpp9yyZUvJ21+OvyNm+frr6OjIoijypUuX9Orbv//+y7Vr1+YOHTpwSkoKM+v3LVsnJycuUaJEvmXOnTvHoijy/fv3ddZ38uRJ9vHxkdb4HJ4+fcodOnTgBg0a8M2bN/MsV9C/YbleX2bs01IVdJ+WazvjOPxWYR6HlXgMNuRb8nkJCwvjOXPmSL7HWceOHXn79u1al02bNk3dNg8PD3Z2ds6zrMr48eO5TZs2OnObNWvGly9fltRGZuZvvvmGK1SokOfywMBAdnJy0nn7iUaNGnGdOnV4586dfPz4cYMeR48e5aCgIK5SpUqRPjZgvHoL/zfops+YJdd4pbSxipnZw8ODRVHkGzduSM5XmThxIjs5OXFoaCgz6/ceixnvs/JiDuOW0sYsZoxbuhhr3KpQoYLOzxxiY2O5VKlS/PTpU53t2rNnj6T9EeOVduYwXjFjzCqo4jBmMb+9HVPVqlW5cuXKRnmoruiAM6iNBxPUABKY+tIuSUlJPHToUKO0PT09nS0tLXWWmz59OouiyJs2bTIoJzExkVu0aMG+vr586tQpyW8SAgMDWRRFnfex2bVrl8ZlarRJT09nT09Ptra21qvt77p+/TrXr1+f27Ztm+vNbUHfAN29e5eHDBnC1tbW7Orqyv/73/947dq16jqlXmaNmfnRo0fs6OjIVlZWkte5fv06ly5dWp1nbW3NAQEBPGHCBK5SpUq+9/gIDw/nCRMmcKlSpdjCwkKvN8tyvLGX4+9IBR8W52Yu/8Qwy/ePKvZp6QqyT8u1nXEc/j+FdRxW4jFYlfXuJVlNYdWqVezp6anxQWZ8fDyPGDFC/YXNkiVL8unTp3njxo1cokQJnjt3LqelpWnUk56ezrNnz2ZRFHnZsmU6cxctWsS1atXi27dv51suLS2Np02bxhYWFtylS5c8y2VlZXGNGjV03kpi7969PHHiRJ3tk+LatWtF+tiA8er/4P8G7QwZs+Qar5Q2VjEzd+nShUVR5CNHjugsq82sWbPYzs6O//77b70nqPE+SztzGLeUNmYxY9zKi7HHrX79+rEo5n/paWbmvn37clJSUr5lmJlHjhzJzs7OOsthvNLOHMYrZoxZpiTXmKXSp08fdd+N8SjoZ4qgCRPUABLIcfbYwoULOTk52Sjt79atm84ysbGx7Orqyr6+vgbnpKSkcPv27dnd3V3yYP3mzRv28fHh+vXr5zrw6OvHH39kQRAk33sjP+np6fzll1+yi4uLxn1ujDG5xcwcFRXFkyZNUp8hqKpz8eLFkusICAhgQRDY3d1dr+xbt25xlSpVNL4soWqDg4MDDxw4kKdNm8bffvstjxs3jgMCArhy5coa5WbMmKFXplxv7E39d6SCD4tzM5d/YpjlnSjGPi2dofs0szzbGcdhTYV5HFbSMViVcezYMb3aaQxpaWlctWpVtrCw4Bo1anD9+vXZ2tpa3Q9LS0uNe5aNGTNGvf906tSJBw4cyF27dmUXFxcWRZGrVq2qPrshP69fv+bKlSuzpaUlt23blufOncu7du3io0eP8oEDB3jt2rU8atQo9RmEoijy1q1b861z8eLFPHfuXJ3ZI0aM0L1hJLK1tZVcFv836K+4jFfMyhmz5BqvlDhWBQcHsyAIPGfOHN0bKA9LlizhUqVK8Q8//KD3fo73WYYpLuOWUsYsZoxbphq3Tp8+zaIo8syZM/Mt9/jxY533yH7w4AFbWVlJ/swB45Vhist4xYwxyxTkGrNUbty4oc4yxYmHoB9MUANIJNcZc6Z04sQJdnR05P79+/OrV68MqiM9PZ179Oih12D97NkzbtCgAQcEBPDr168NymVm9eUQDbk8cF7+/vtvrlChAg8YMIATExON9gZIJSkpiefPn8/ly5dnQRB4/fr1ktZ7/vy5uh3vv/++3rnx8fHq1+ndN0H5fUPM2tqaf/zxR73zmOWbWJMLPizWX3H6J0Zp+zOzcvZpOeE4nFthHoeVcAxW1TlmzBi922kM169fV//95XzY2trmunRbVlYWDxgwQOt2cXNz4+vXr0vOvXXrls5b9KhypIxHjx8/5v/85z86yx0/ftxo4+SWLVuMUk9hwXiVG/5vKNiYJed4pbSxKjs7m9u3b8+Ojo46z0jMT1BQEFtYWBSL91jMGLe0wfus4vs+S2nj1jfffMP29vZ85coVyW3VRrUdypQpU6B6ChvGq9zwPgtjliFjlsp//vMf/uCDDzg+Pt7gPmRnZ3NERAR369atWLzvKS4wQQ0gkZxnzJnS3bt3uV27dly2bFn++eefDXojlJmZyQMGDNBrsE5LS+NZs2axv78/P3r0SO9MZlZ/6yyvS/saKj4+nvv06cOenp68bdu2QvkH/M2bN/zrr7/qvFSSyrVr19TtWL58ucG5p0+f5k6dOrGVlVW+3wxzdHTkUaNGcUREhMFZUPjwT0xuhf1PDBQuufZpOeE4nFthH4fN+Rj8999/c7du3djCwoJnzpyp86ySwhAbG8uzZ8/m7t27c69evXj27Nn8/PnzPMvv2bOHP/zwQ65bty77+vryhAkT8i2fl8ePH3P79u3z/db70KFDJX/7fuDAgXq3wdxhvMoN/zcYPmbJPV4pbaxKSkriTp06cZkyZXTe6zE/W7duZSsrq2LxHosZ45Y2eJ9VfN9nKW3c+uGHH9jT05OPHj2qd5tVVGdgdu3a1eA6TAXjVW54n4Uxy5Axi/nt6zR27FhDm64hKiqq2LzvKQ4EZmYCAEkWLVpEo0ePJjs7uwLX1b17d9q7d68RWlU4rl27RiEhIdSoUSPq1q2b3uszM02ePJkWLFig13rp6emUmZlJtra2emc+ePCAHjx4QO3bt9d7XSnWr19PX3zxBSUnJ5MgCJSVlVUoOVJNnjyZRFGkuXPnkiiKBarr1atXdOTIEQoLC6OYmBhKSkoiOzs78vT0JB8fH2rRogWVKFHCSC2HwhQWFkZjx46l27dv0zfffEPDhg3T++8pKyuLPv30U9q6davk/Tw9PZ3mz59PBw8epODgYKpYsaLeba9atSo9fPiQFi9eTOPHj9d7/by8ePGCRo8eTefOnaNFixbRRx99VCT+hkEaufZpueE4nFtROg4Xt2NwREQELVu2jNLS0mj16tUFqqu4uXTpEu3du5du3bpFiYmJ5ODgQPXq1aM+ffpQ7dq15W6eWcB4lVtRGq+IiteYpdTxSq6xavPmzbR48WISBIGWLVtG/v7+etexb98+6tu3L6WmphZCCwsHxq3citK4VZzGLCKMW6YctyIiIuinn36isWPHUq1atfRe/+OPP6YTJ07Qrl27qEmTJoXQQuPDeJVbURqviDBmFRdffvklLVmyxCh1OTs7U0JCglHqUjpMUAMA6CEyMpJOnDhBRESDBg2SuTUAecM/MbkVtX9iQD9y7dNQtOA4DADFBcYrKE4iIyNJFEWDvmRKRHT58mXy9fU1cqvA1DBuAUBxgfEK9PXo0SNyc3MjGxsbo9Tl5eVlhFYBJqgBipH79+/T9evX1d+gys7OJgcHBypbtizVqVOHqlevjlzkFptcuSitv6DJHP+JwT5tGnJuZ6UdH+TIVVJflZyN8RIAoHiLjIykrKwsqlq1qmKylZSrpL7Kna20XAAAKJowQQ1QxF2+fJl++eUX2rFjB7148SLfsq6urtS1a1caNmwYtWjRArnILXK57zLVB8VK6y9yzT8X+7T5jx1KOz7Ikaukvio5W67cN2/e0MGDB+nChQv5jlfNmzen9u3bU8mSJQuUBwBQEMVlzEpKSqIvvviCYmJiaNy4cdSpUyezz1ZSrpL6Knd2cc8tLmMWAADoIMN9rwFAgvj4eO7fvz+Loqh+CIKQ7yNn2VatWvH9+/eRi9wikZvTpUuXePTo0ezq6qpRt7aHu7s7DxkyhE+fPm1QltL6i1zzz8U+bf5jh9KOD3LkKqmvSs6WKzc2NpbHjRvHTk5OOscq1cPGxoZHjBjBd+/e1TsPAKAg5BqzDh48yJ999hl36dKFe/bsydOmTePz589LXn/gwIEsiiJ7e3sXm2wl5Sqpr3JnKy23KL7POnnyJPfu3ZvLly/P1tbW7Obmxh06dOD169dzZmZmoWTKnY1c886VM1vOPoM8MEENUEARERG8a9cuXrVqFS9YsIDnzZvHK1as4JCQEL53755BdYaFhXGVKlVyfZBmZ2fH1atXZz8/P/b39+dWrVpx48aNuU6dOuzs7JzrQzYHBwe+cOECcpEra66KqT8oVlp/kWv+udinzX/sUNrxQY5cJfVVydly5e7YsYMdHR0ljVPaxi1ra2ueP3++XtvY2Dp27Ihc5CJXIblyjFmJiYn8wQcf5DmR1KxZM0lfMDx58qS6HUU9W0m5Suqr3NlKy2U2/ZiVnZ3NgYGB3KpVK65Tpw737t07V99mz56d5/+ooiiyr68vP378WHKm3NnINe9cpfZZirS0NI6JieFnz55xampqoWSAdpigBjBAYZ7F9erVK65VqxYLgsCenp48YcIE/uuvvzgmJkbnuklJSXzs2DGeNm0aV61alQVB4AoVKnBCQgJykStLroqpPyhWWn+Ra/652KfNf+xQ2vFBjlwl9VXJ2XLlrlmzhi0sLNTjTpkyZbhLly48duxYnjt3Li9btozXrFnD69at48DAQF64cCF/+eWX3KtXL/by8tL48GXOnDk68wpDVlYWW1tbIxe5yFVArhxjVmZmJr///vu53qdp+xD6888/5zdv3uRZ1927d9Vli3K2knKV1Fe5s5WWyyzPmNW7d2+Nz3dV6y9ZsoSZmffv36/Rb2dnZ/7ss8/4p59+4sDAQB45ciQ7OTlxzZo1OS4uTlKm3NnINe9cpfZZm3PnzvFXX33FLVu2VH/xJefD0dGR/f39ecKECXz8+PEC50HeMEENoAdTnMW1cOFCtrS05EWLFuX7Zk6XrKwsXr58OVtZWfHChQt1lkcucgsjl1meD4qV1l/kmn8u9mnzHzuUdnyQI1dJfVVythy5N2/eZGtra7a1teWvv/6ab9y4oXdeREQEz5gxgx0dHdnCwoKvXLliYMsN9+eff+p1JhNykYvc4pkr15i1fv169WckFhYWPHz4cD548CCHhYXxxYsXeefOnTx27Fh2dXVlQRC4WbNmeb7v03dyS65sJeUqqa9yZystV44xa9OmTRqf61auXJkbN27Mzs7OLIoi79u3j+vUqaNe3qFDB05MTMxVT3x8PHfp0oVHjBghua1yZSPXvHOV2ud3HTx4kBs0aCBpbidnGW9vb163bp3BuZA3gZlZ7vtgAxQH9+7dow8++IAiIyMp55+Nra0tlS1blhwcHMja2posLS3p9evXlJqaSlFRUfTy5UuNeuzt7enw4cPUuHFjrTl+fn40ePBg+vzzz43S7jVr1lBQUBBduHAh33LIRW5h5BIRLVq0iKZMmULz5s2jcePGUYkSJQzKzM7OppUrV9JXX31Fc+fOpYkTJ+ZZVmn9Ra7552KfNv+xQ2nHBzlyldRXJWfLkTtixAg6deoUHTx4kLy8vAqUFxUVRZ06daImTZrQ2rVr8ywXGxtLkydPLlBWTgkJCXTo0CFKS0ujrKws5CIXuWaYqyLHmEVE1KFDBzpy5AhZWFjQ9u3bqWfPnlrLZWZm0urVq2n69Onk4uJCf//9N1WqVEmjTFhYGNWqVYsEQZDUZ7mylZSrpL7Kna20XDnGrDZt2tCJEyeofPnytHPnTmrSpIm6b5s3b6ZJkybRixcviJnJw8ODIiIiyNbWVmtd6enp1LJlSwoJCaEKFSrobKNc2cg171yl9lklOzubxo8fT4GBgUREZMiUqCAI1LlzZ/r999/zbB8YQJ55cYDixZRncbm4uBTobI93ZWRkcJkyZXSWQy5yCyOXmdnX15eXLl1qtOzVq1dz48aN8y2jtP4i1/xzsU+bJlfO7ay044McuUrqq5Kz5citUqUKnzt3zmiZly5dYm9vb53lmjRpkutydAV5SD2TCbnIRW7xzWWWb8xS3SJtyJAhkup9/Pgxv/fee1y+fHm+c+eOxjJ9z3SVK1tJuUrqq9zZSsuVY8xSndkZHBysdfmZM2e4RIkSLIoif/fddzozN27cKPl/W7mykWveuXJmy9lnlZEjR6rPjPbw8OCPPvqIFyxYwNu3b+fQ0FC+ceMG37t3jx88eMC3bt3iixcv8h9//MFLly7lQYMGccWKFdVj1ocffqhXNuQPE9QAEpjyUoHu7u4G169Ndna2pA/zkIvcwshllueDYqX1F7nmn4t92jS5cm5npR0f5MhVUl+VnC1Hrqurq1EzmZk9PDx0ltm3b5/O2w3p+5DyQTFykYvc4pvLLN+YZWVlxaIo8v79+yXXm5GRwYMHD2Y3Nze+fPmy+nl9JxLlylZSrpL6Kne20nLlGLNUfc3vFlGTJ09mURT57NmzOvMuXbrEPXv2lNQ2ubKRa965cmbL2Wdm5gMHDrAgCOzr68t//vknZ2VlSV43p6NHj3KzZs1YFN9elhyMw1LuM7gBioPg4GBavHhxgS8VKIoijR07lkqUKEFBQUFaLzNarlw52rt3L3Xv3r1AWSp79uyhMmXK6CyHXOQWRi4RkYWFhcGX5s2rPl2U1l/kmn8u9mnT5Mq5nZV2fJAjV0l9VXK2HLkWFhaUnJxM9vb2RslMSkoia2trneW6du1Kfn5+9Pr1a5o9eza5uLgYlJednU0PHjyg//3vfxQZGYlc5CLXjHOJ5BuznJ2dKTY2lipWrCi5bktLS/r1119p0qRJ1LZtW9q/fz/5+/vr3Ua5spWUq6S+yp2ttFw5xix3d3d6/vw5OTk55Vlm4sSJtHTpUknb4+nTp3T79m1J7ZMrG7nmnStntpx9JiJasWIFde3alXbt2lWgz5jatGlDp0+fpr59+9KqVauoa9euBtcFOcg9Qw5QHJjyLK4ZM2aws7OzXt9IzMuhQ4e4dOnS/O233+osi1zkFkYuM3PDhg15z549Bc5V2b17Nzds2DDfMkrrL3LNPxf7tGly5dzOSjs+yJGrpL4qOVuO3M6dO/O4ceMKnKcyfvx4bteunaSye/fu5YkTJxol99q1a5LPGkMucpFbfHPlGrO6dOnCoijykSNHDMqZNWsW29nZ8d9//633ma5yZSspV0l9lTtbablyjFn9+vVjURQ5MjIy33J9+/blpKQknZkjR45kZ2dnSe2TKxu55p0rZ7acfWZmLl++PD9+/FhyeV2ioqLYy8vLaPUpHSaoASQw5aUC4+Li2M3NjUVR5JYtW/KqVas4IiJCct3//vsvb9iwgTt06MCiKLK9vT1HRUXpXA+5yC2MXGZ5PihWWn+Ra/652KdNkyvndlba8UGOXCX1VcnZcuRu3bqVBUHgvn37cnh4uOSsdz1+/JgHDhzIoijyli1bJK83YsQIgzPfZWtri1zkItfMc+Uas4KDg1kQBJ4zZ47BmUuWLOFSpUrxDz/8oNdEolzZSspVUl/lzlZarhxj1unTp1kURZ45c6bOOrOzs/Mt8+DBA7aysmJra2tJ7ZQrG7nmnStntpx9ZmZ2c3OTXFYqKbc2AWkEZma5z+IGKOp8fHxo9uzZRrtU4B9//EEzZ86kK1euaF1+8uRJCggIoOTkZPVz9vb2VKlSJSpXrhzZ29tTyZIlSRAESktLo5SUFIqOjqbIyEhKSEggIiJmJlEUKSQkRHK7kYvcwsiNj4+nWrVqUXx8PPn7+9PAgQOpffv2VLVqVUnrP378mI4dO0abN2+mI0eOkK2tLYWFhVHZsmXRX+QqJpcI+7S5jx1yZispV0l9VXK2HLkdOnSgI0eOkCAI1KRJE2rfvj35+vpS5cqVdWZeuXKFjh07RqdOnaLs7Gxq1KgRnTlzRvItEU6cOEF+fn5kZ2cnqXx+fvvtNxowYABykYtcM8+VY8xiZurYsSNdvHiRrl27Rl5eXgb1c+3atTRq1CjKzs4mQRAoKytL5zpyZSspV0l9lTtbablE8oxZU6ZMocDAQDp58iQ1bNjQoL4SEX388ccUHBxMHh4eFB0dLWkdubKRa965cmbL2WcvLy86ceIEVapUyeDcnB48eECdOnWi8PBwo9SneKaZBwco3uQ4i+vmzZtcpUoVFgRB/RBFMd9HzrIVK1bkw4cP690+5CK3MHJPnDjBjo6OGvU6OjpygwYN+IMPPuC+ffvyp59+yoMGDeJ+/fpxt27d2M/Pj11cXDTaYWFhodclf5XWX+Sady4z9mlzHzvkzFZSrpL6quRsU+cmJydz586dJeXkl1+zZk1+9uyZ3v0FANCHXGNWUlISd+rUicuUKcPbt283uP1bt25lKysrFkVpZ7rKma2kXCX1Ve5speXKNWb98MMP7OnpyUePHjW0q+r/Tbt27arXenJlI9e8c+XMlit34MCB3LZtW3716pXBuSqvX7/mdu3acZ8+fQpcF7yFCWoACeS6RGFGRgavW7eO69Wrp/GBWV4PCwsLbtq0Ka9Zs4ZTU1MN7i9ykVsYuXJ9QK20/iLXvHOZsU+b+9ghZ7aScpXUVyVnmzo3MzOTp0+fzo6OjpLycj5sbW15woQJBd7WAABSyTlmbdq0iX18fNjX15dDQ0MNqmPv3r1cqlSpYpOtpFwl9VXubCXlyjVmhYeH89ixY/n27dt6r8vMPGDAAC5fvjyfP3++2GQj17xz5cyWI/fcuXMsiiJXrVqV165dK+k+1+96/fo1b9myhWvUqMGiKPKJEyf0rgO0wyW+ASSS8/KIRESxsbF05swZCgsLoxcvXlBCQgIJgkD29vZUvnx58vb2pmbNmlHp0qWN2m/kIteYuZmZmbRp0yZasmQJ3bx5U2d5URSpUaNGNGzYMBo4cCCVKlWqQPlK6S9yzTs3J+zThZurItcYLWe2knKV1FclZ5syNykpiYKCgujIkSN07tw59f8C73J1dSV/f3/q3Lkz9e/fnxwdHQucDQCgLznHrMjISBJFkSpWrGjQ+pcvXyZfX99ila2kXCX1Ve5sJeXifRYA6Gvy5Mm0cOFCEgSBrKysqFGjRnrdJuDChQuUmppKzExDhgyhtWvXyt0ls4EJagA93Lp1iwICAujhw4fq5wRByHednH9inp6etG7dOmrXrl2htRGguJDzw3E5KOEDeeQqZ38mwrYGAJAqJiZG63jl5OQkd9MAAHLBmAUAxQnGLACQ4vvvv6fvvvuOmFnnfM67VPM7n3zyCa1bt07nPexBOkxQA+hJjrO43rx5QwcPHqQLFy7Q9evXKSYmhpKSkig7O5scHByobNmyVKdOHWrevDm1b9+eSpYsaUjXkItck+TKRWn9BfOHfdo05NzOSjs+yJGrpL4qOVtJ46XStjFykYvc4g3HJPPOVVJf5c5WWq4csF8h19xy5cyWK/fIkSM0e/ZsOnXqlF7rNW/enKZMmULdunUzSjsgB5kuLQ5gFmJiYnj37t08f/58njx5Mo8cOZJHjRrFEydO5CVLlvD+/fs5Pj7e4PpjY2N53Lhx7OTkpPN+m6qHjY0Njxgxgu/evYtc5Bap3JzS09N5z549PG3aNA4ICOBmzZpx7dq1uWbNmtykSRPu0aMHf/vtt7x3715+/fp1gbKU1l/kmn8u9mnzHzuUdnyQI1dJfVVydlEYL01FadsYuchFbvEcq1RwTDLvXCX1Ve5speXKAfsVcs0tV6l9zuny5cu8YMEC7tmzJ9eqVYs9PDzYysqKra2t2dXVlRs0aMB9+vThJUuW8J07d4yWC7lhghqgiNqxYwc7OjqyKIosCIJeD1EU2dramufPn49c5BaJXBVTvxFRWn+Ra/652KfNf+xQ2vFBjlwl9VXJ2XKPl4Z4+PAhDx48mAcMGMDh4eGS11PaNkYucpEr71ilUtzGLDmzlZSrpL7Kna203IIyZMzCfoVcc8tVap+h6MIlvgEMVJiXovjll19ozJgxlJ2dTUREHh4e5OvrS5UrV6Zy5cqRg4MDWVtbk6WlJb1+/ZpSU1MpKiqKHj16RJcuXaJ///2XiN7eH3vWrFk0bdo05CJXtlyVnTt30rBhwyg5OZn0PfQIgkAlSpSg2bNn09dff43+IleRudinzX/sUNrxQY5cJfVVydlyj5eGatiwId24cYOIiOrVq0dXr17VuY7StjFykYtc+ccqleI0ZsmZraRcJfVV7myl5RqDvmMW9ivkmluuUvucn/v37+c7r1O9enWj5EA+5JoZByiuCvssrps3b7K1tTXb2try119/zTdu3NC7jRERETxjxgx2dHRkCwsLvnLlCnKRK0uuypo1a9jCwkL9zbcyZcpwly5deOzYsTx37lxetmwZr1mzhtetW8eBgYG8cOFC/vLLL7lXr17s5eWl8Y25OXPmoL/IVVwu9mnzHzuUdnyQI1dJfVVyttzjZUF4eHiozyhwd3fXWV5p2xi5yEVuwXONqbiMWXJmKylXSX2VO1tpucaiz5iF/Qq55pYrZ3ZRGzsuXbrEo0ePZldXV51zOu7u7jx48GA+ffq0wXmQP0xQA+jBFJeiGD58ONeoUYMjIyML3N6nT59y3bp1eejQoTrLIhe5hZHLLM8bEaX1F7nmn4t92vzHDqUdH+TIVVJflZwtZ58Lavfu3VyuXDkuW7Ysb9++XWd5pW1j5CIXuQXPNabiMmbJma2kXCX1Ve5speUaiz5jFvYr5JpbrpzZRWXsiI+P5/79+2tMQEuZz1E9WrVqxffv3y9wH0ATJqgBJDLVWVxVqlThc+fOGa3dly5dYm9vb53lkIvcwshllueNiNL6i1zzz8U+bZpcObez0o4PcuQqqa9Kzpazz6amtG2MXOQit+C5csIxybxzldRXubOVlisH7FfINbdcObOLwtgRFhbGVapUyTUpbWdnx9WrV2c/Pz/29/fnVq1acePGjblOnTrs7Oyca8LawcGBL1y4YLS+ACaoASQx5Vlcrq6uBWxtbh4eHjrLIBe5hZHLLM8bEaX1F7nmn4t92jS5cm5npR0f5MhVUl+VnC1nn01NadsYuchFbsFz5YRjknnnKqmvcmcrLVcO2K+Qa265cmbLPXa8evWKa9WqxYIgsKenJ0+YMIH/+usvjomJ0bluUlISHzt2jKdNm8ZVq1ZlQRC4QoUKnJCQUIDWQ06i3PfABigOfvrpJ6pUqRLdunWL5s+fT3Xr1tW7jqpVq9KsWbPo9u3bVKtWLVq2bJnWchYWFpScnFzQJqslJSWRtbW1znLIRW5h5KrKNm3a1GjZvr6+lJiYmG8ZpfUXueafi33aNLlybmelHR/kyFVSX5WcLWefTU1p2xi5yEVuwXPlhGOSeecqqa9yZystVw7Yr5BrbrlyZss9dqxcuZLCw8Np4cKFdP/+fVq0aBF16tSJ3NzcdK5rb29PrVu3pjlz5tC9e/do2bJlFBMTQ0FBQQXpAuSACWoACY4ePUobNmwgLy+vAtdVrlw52rBhA50+fVrrch8fH5o2bVqBc1S+++47ql69us5yyEVuYeQSyfNGRGn9Ra7552KfNk2unNtZaccHOXKV1FclZ8vZZ22ePHlC165do7Nnz9L169cpISHBaG1T2jZGLnKRW/BcXcxxzJIzW0m5Suqr3NlKy81PYY1Z2K+Qa265cmbLPXYEBwfT4sWLacKECVSiRAmDc0VRpLFjx9KyZcvo999/N7geeIfcp3ADFAemvBTF1q1bWRAE7tu3L4eHhxtc/+PHj3ngwIEsiiJv2bJFZ3nkIrcwcpmZO3fuzOPGjTM4813jx4/ndu3a5VtGaf1FrvnnYp82Ta6c21lpxwc5cpXUVyVny9lnlQMHDnCvXr3YxcWFRVHM9fD09ORBgwbxX3/9ZXD7mJW3jZGLXOQWPFcbcx+z5MxWUq6S+ip3ttJy32WKMQv7FXLNLVfObLnHDhcXF37z5o3Bue/KyMjgMmXKGK0+pROYmeWeJAco6sqUKUPh4eFkb29vlPqSkpKoXr169OjRI63LO3ToQEeOHCFBEKhJkybUvn178vX1pcqVK1O5cuXI3t6eSpYsSYIgUFpaGqWkpFB0dDRFRkbSlStX6NixY3Tq1CnKzs6mRo0a0ZkzZ8jCwkJnu5CL3MLI3bZtG/Xv35/69OlDc+fOpWrVqulcR5snT57QlClT6LfffqNNmzbRgAED0F/kKiaXCPu0uY8dcmYrKVdJfVVytly59+/fp6FDh6qvlJTzX21BEHL9TkTUuHFjmjdvHrVu3VrSNi0qfUUucpFbfHNVlDRmyZmtpFwl9VXubKXlEpl+zMJ+hVxzy1Vqnz08POj58+eSykrBzFSuXDmKjo42Wp2KJtvUOEAxYuqzuJKTk7lz584sCILWbwNKeQiCwDVr1uRnz55JbhdykVsYuczM7du3V+c2a9aMp02bxrt27eIrV67w8+fPOTU1lbOzs5mZ+fXr1xwXF8c3btzgvXv38uzZs7lNmzZsaWnJoihykyZNODMzE/1FruJysU+b/9ihtOODHLlK6quSs+XIvX79Oru5uanXlfpQ5Y0fP16vbavEbYxc5CLXOLnMyhuz5MxWUq6S+ip3ttJy5RizsF8h19xyldrnhg0b8p49e/RaJz+7d+/mhg0bGq0+pcMENYAEclyKIjMzk6dPn86Ojo56vfkSBIFtbW15woQJnJqaqncbkYvcwsiV642I0vqLXPPOZcY+be5jh5zZSspVUl+VnG3K3JSUFK5cuTILgsCenp48ceJEDgkJ4Zs3b3JCQgKnp6czM3NWVhbv3buXa9euzRs3buSAgAC2sLBQj3G9e/fmjIyMIt1X5CIXucU/V6ljlpzZSspVUl/lzlZKrpxjFvYr5JpbrhL7PGPGDHZ2dub9+/frve67Dh06xKVLl+Zvv/22wHXBW5igBpBIrrPHEhMT+ccff+QuXbpw6dKl8xyo3dzcuEePHrxy5Up++fJlgfuLXOQaO1fON19K6i9yzTtXBfu0+Y4dcmcrKVdJfVVytilyFyxYwJaWlrxkyRLOysrSWX7q1Km8c+dOZma+c+cOf/jhhywIb//PKMhVm8x5GyMXucg1Xq7Sxyw5s5WUq6S+yp1t7rlFYczCfoVcc8uVM9vUuXFxceorMLRs2ZJXrVrFERERktf/999/ecOGDdyhQwcWRZHt7e05KirK4PaAJtyDGkCiV69eUZ8+fejgwYPqe5noi5mpRo0adPz4cfLw8DCojpiYGHrx4gUlJCSQIAhkb29P5cuXJycnJ4PqQy5yTZ2blJREQUFBdOTIETp37hwlJCRoLefq6kr+/v7UuXNn6t+/Pzk6OhqtDUroL3LNO/dd2KcLLzcnucZoObOVlKukvio5uzBymzZtSr169aLJkydLKn/37l36/vvvafPmzernfvvtNxoxYgSlpaXRtm3bqHfv3ga3R8WctjFykYtc4+VizCo62UrKVVJf5c42t9yiOGZhv0KuueXKmW2K3JMnT1JAQAAlJyern7O3t6dKlSrpvAe26rMnZiZRFCkkJIS6d+9utLYpHSaoAfSQlZVFs2bNoqVLl1JSUpJe69rY2NDo0aNpzpw5VKpUqUJqIUDxI+ebLzmY8xs+5CpvfybCtgYAcHNzo8jISLK1tZVUPjs7m3x8fOjatWsaz4eGhlLXrl3Jzs6OwsPD8T8DABQKjFkAUJxgzAIAY7h16xYFBATQw4cP1c/pOgkx59Spp6cnrVu3jtq1a1dobVQiTFADGKAonMUFAAAAAADy8/T0pMePH0sun5aWRpUqVaJnz57lWrZ//37q0aMHzZ07V/KZQgAA+sCYBQDFCcYsADCWzMxM2rRpEy1ZsoRu3ryps7woitSoUSMaNmwYDRw4EF9sKQSi3A0AKI4cHBzoq6++ov3791N8fDw9e/aMbt++TaGhoXTmzBm6ceMGvXjxgmJiYmj37t00evRok09OR0ZG0pAhQ+jjjz+miIgI5CK3WOfKRWn9BfOHfdo05NzOSjs+yJGrpL4qOVufXEdHR60fguYlODg4z2/rd+3alT7//HNauXKlXu0tiOKwjZGLXOQaLxdjVvHLVlKukvoqd3ZxyS3OYxb2K+SaW66c2cbItbS0pCFDhtD169fp+fPnFBISQvPmzaOvv/6aRowYQSNHjqQJEybQ4sWLad++fRQTE0Pnzp2jESNGYHK6sMh292sAKFQNGjRgURRZFEVu0KABcpFbrHOZmR8+fMiDBw/mAQMGcHh4uEkyldZf5Jp/LvZp8x87lHZ8kCNXSX1VcrY+uRMnTuSePXtyenq6znoPHz7MDg4O7O/vn2eZxMREdnV15atXr+rbbIMUh22MXOQi13i5GLOKX7aScpXUV7mzi0tucR6zsF8h19xy5cyWs89QeCzlniAHgMKh+nYhM1N0dDRykVusc4mIevbsSTdu3CCit/cNuXr1aqFnKq2/yDX/XOzT5j92KO34IEeukvqq5Gx9cr/88kuqUaMG1axZk4YMGULt2rWjWrVqkZOTE6Wnp1NUVBRduHCBgoODad++fURE9OGHH+ZZn4ODAw0ePJhOnjxJDRo0MF6n8lActjFykYtc4+VizCp+2UrKVVJf5c4uLrnFeczCfoVcc8uVM1vOPkMhKqSJbwDQwpRnce3evZvLlSvHZcuW5e3btxdqFnKRawoeHh4siiILgsDu7u4myVRaf5Fr/rnYp81/7FDa8UGOXCX1VcnZ+uZu376dLSws1N/qz+shCAJ7e3tzampqvvVdv36dBw0aZKTe5K+4bGPkIhe5xsvFmFW8spWUq6S+yp1dnHKL65iF/Qq55pYrZ7acfVY5fvw4Hzp0SJZscyUwM8s9SQ6gFA0bNlSfxVWvXj2TnT0GYA7++OMP+uyzz4iZaenSpdS7d2+5m1So5Oovcs07V07Y1gBg7vbt20eDBw+mFy9e5Fmmdu3atGfPHqpSpYrO+jp16kQHDx40ZhMBANQwZgFAcYIxCwDkNHr0aPrll1+IiGjIkCEUFBQkc4vMAyaoAUyoTJkyFBsbS8xMbm5u9Pz5c7mbBAAAAAAARpKcnEyrV6+mffv20a1btygxMZEcHByoXr161LdvXxo6dChZW1tLqis6OprKli1byC0GACXDmAUAxQnGLACQi6OjI7169YqYmezt7SkxMVHuJpkFTFADmBDO4gIo2pKSkqhnz54kCAIdOXJE7uYAAAAAAAAAAAAAgIyGDh1K69evJyKigQMH0saNG+VtkJnABDWAGbp69Srt3r2bRo0aZdJvAyIXucVdfHw8ubm5kSAIlJWVJXdzoJhLSkqiAwcO0NWrVykhIYFsbW2patWq1L59e/L29tarLgcHB+rWrRv95z//oS5dulCpUqUKqdWQlydPnlB8fDylpqaSra0teXp6krOzs1lnKylXSX1VcracfTY1pW1j5CIXucUbjknmnaukvsqdrbRcOWC/Qq655cqZXdzGjsOHD1N2djZ16NCBBEGQuznmwcT3vAYAPWVnZ3NMTAy/fPlSr/UOHz7MpUuX5o8++ohPnTqFXOQWiVwpXr58yX///TcHBwfz/v37+enTp4WSo01cXBwLgsCiKBq0/oYNG/iff/7Ra53w8HA+e/Ys37hxg2NjY5FbhHMnT54sueyPP/7Ijo6OLIqi1ke3bt3433//lVyfar8URZFtbW25T58+vHXrVn716pUhXTFYVlYWx8TE6CwXHx/Pc+bM4ffff59r1KjB/v7+PH36dI6Pjy9WuQcOHOBevXqxi4uL1tfR09OTBw0axH/99ZdB9RfFbCXlKqmvSs6Ws8+mprRtjFzkIrd4wzHJvHOV1Fe5s5WWKwfsV8g1t1w5s5U0doBumKAGKKLCw8O5f//+bG9vrx6gy5cvz5999hnfvn1bUh3Lli1jQRDYwsICuciVNVflwYMHfPHiRa0T40lJSTxs2DC2srLK9eakdevWfP78eck5GzZsMOgRGBiongjUtlyXmzdvsiiK7Ofnx3v37s2zXFJSEk+YMIFLly6dq6+1atXiuXPnclpamuT+Itc0uf369ePs7Gyd5SZOnKjOEQRB60MURXZ3d5f8d6dax8/Pjy0tLdW/29jY8IcffshbtmzhpKQkyX3RV2ZmJn/77bfs5OTEoihyqVKl+KOPPtL6BZKjR4+yq6trrm0giiKXLVuWb968WeRzIyIiuFWrVlpfR22/i6LITZs25WPHjknOKGrZSspVUl+VnC1nn01NadsYuchFbvEcq1RwTDLvXCX1Ve5speXKAfsVcs0tV6l9hqILE9QARdCRI0fUZ97lHJxVA7SFhQWPGDFC59mvV65cUa+DXOTKlcvMfPfuXW7SpIn6DUaJEiV4xIgRnJqayszM6enp7Ofnp7VtqoelpSVv3rxZUl7ONzP6Pt59M6R6SJ2QV61bv359rcsjIiK4evXq+fZVFEWuXbs237t3T9oGRq5JcidNmsQHDx7Mt8zZs2fV9dva2nLPnj35u+++48DAQF67di3/9NNPPHbsWK5evToLgsBVq1aVNEmuam9YWBjHxMTwypUruW3bthqT1SVLluTu3bvzhg0bOCEhQVKfpBowYIDWbVm5cmWOi4tTlzt58iSXKlVKo0zjxo35o48+4tatW7OlpSVXq1ZN/bdfFHOvX7/Obm5u+e47ee1Poijy+PHj9d/AMmcrKVdJfVVytpx9NjWlbWPkIhe5xXOsUsExybxzldRXubOVlisH7FfINbdcpfY5PxEREbxr1y5etWoVL1iwgOfNm8crVqzgkJAQvT6jBMNhghpAJnkNctHR0Vy6dGmNwbhcuXLcvHlzrlOnDjs4OKifr1ixIl+4cCHPjLt376oHc12Qi9zCyGVmjo2N5bJly2p9E9KiRQt+8+YNT506Vf2chYUFDxkyhC9cuMAvX77klJQUPnv2LH/yySdsZWXFJ06c0Jk5b948tra21utNj5Q3RVKoytaqVSvXsujoaK5QoYJGvU2bNuVVq1bxhQsX+N69e3z06FH+6quv2N7enqtUqcLPnj1DbhHJDQ4O5j59+uRbZtCgQSwIAv/3v//lxMTEfMtu376dnZ2deenSpTqzVf0NCwvTeD6vyWorKyv+4IMPeO3atRoTuYbYvXs3C4LA7dq147179/Lt27f5xIkT/MUXX3CpUqW4d+/ezMz89OlTdnd3V7fB29ubL126pFHX5cuX2d3dnQMDA4tkbkpKCleuXJkFQWBPT0+eOHEih4SE8M2bNzkhIYHT09OZ+e0lx/fu3cu1a9fmjRs3ckBAAFtYWKjb0Lt3b87IyJC8jeXMVlKukvqq5Gw5+2xqStvGyEUucovnWKWCY5J55yqpr3JnKy1XDtivkGtuuUrtsza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      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_id = plot_both_scatter(x1=indexes_numbers,\n",
    "                           x2=indexes_strings,\n",
    "                           y=genu_estimate,\n",
    "                           y_std=genu_std,\n",
    "                           title='WM - Genu',\n",
    "                           x1_label='Site #',\n",
    "                           x2_label='Site#.Meas#',\n",
    "                           y_label=\"T$_1$ (ms)\",\n",
    "                           file_prefix=\"WM_genu\",\n",
    "                           folder_path=output_folder,\n",
    "                           fig_id=fig_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/l1/1xswjffd73l8yp7dd7pq9lyw0000gn/T/ipykernel_36138/639034575.py:18: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  axs[1].set_xticklabels(labels=x2, rotation=90)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_id = plot_both_scatter(x1=indexes_numbers,\n",
    "                           x2=indexes_strings,\n",
    "                           y=splenium_estimate,\n",
    "                           y_std=splenium_std,\n",
    "                           title='WM - Splenium',\n",
    "                           x1_label='Site #',\n",
    "                           x2_label='Site#.Meas#',\n",
    "                           y_label=\"T$_1$ (ms)\",\n",
    "                           file_prefix=\"WM_splenium\",\n",
    "                           folder_path=output_folder,\n",
    "                           fig_id=fig_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/l1/1xswjffd73l8yp7dd7pq9lyw0000gn/T/ipykernel_36138/639034575.py:18: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  axs[1].set_xticklabels(labels=x2, rotation=90)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_id = plot_both_scatter(x1=indexes_numbers,\n",
    "                           x2=indexes_strings,\n",
    "                           y=deepgm_estimate,\n",
    "                           y_std=deepgm_std,\n",
    "                           title='Deep GM',\n",
    "                           x1_label='Site #',\n",
    "                           x2_label='Site#.Meas#',\n",
    "                           y_label=\"T$_1$ (ms)\",\n",
    "                           file_prefix=\"GM_deep\",\n",
    "                           folder_path=output_folder,\n",
    "                           fig_id=fig_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/l1/1xswjffd73l8yp7dd7pq9lyw0000gn/T/ipykernel_36138/639034575.py:18: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  axs[1].set_xticklabels(labels=x2, rotation=90)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_id = plot_both_scatter(x1=indexes_numbers,\n",
    "                           x2=indexes_strings,\n",
    "                           y=cgm_estimate,\n",
    "                           y_std=cgm_std,\n",
    "                           title='Cortical GM',\n",
    "                           x1_label='Site #',\n",
    "                           x2_label='Site#.Meas#',\n",
    "                           y_label=\"T$_1$ (ms)\",\n",
    "                           file_prefix=\"GM_cortical\",\n",
    "                           folder_path=output_folder,\n",
    "                           fig_id=fig_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/l1/1xswjffd73l8yp7dd7pq9lyw0000gn/T/ipykernel_36138/630522227.py:25: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  axs[1].set_xticklabels(labels=x2, rotation=90)\n",
      "/var/folders/l1/1xswjffd73l8yp7dd7pq9lyw0000gn/T/ipykernel_36138/630522227.py:41: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  axs[1].set_xticklabels(labels=x2, rotation=90)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x1_label='Site #'\n",
    "x2_label='Site #.Meas #'\n",
    "y_label=\"T$_1$ (ms)\"\n",
    "file_prefix = 'WM_and_GM'\n",
    "folder_path=output_folder\n",
    "\n",
    "x1=indexes_numbers\n",
    "x2=indexes_strings\n",
    "y=genu_estimate\n",
    "y_std=genu_std\n",
    "\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (20,10)\n",
    "\n",
    "fig, axs = plt.subplots(2)\n",
    "axs[0].errorbar(x1, y, y_std, fmt='o', solid_capstyle='projecting')\n",
    "axs[0].set_xlabel(x1_label)\n",
    "axs[0].set_ylabel(y_label)\n",
    "axs[0].set_xticks(np.arange(0, np.max(x1), step=1))\n",
    "\n",
    "\n",
    "axs[1].errorbar(x2, y, y_std, fmt='o', solid_capstyle='projecting')\n",
    "axs[1].set_xlabel(x2_label)\n",
    "axs[1].set_ylabel(y_label)\n",
    "axs[1].set_xticklabels(labels=x2, rotation=90)\n",
    "\n",
    "x1=indexes_numbers\n",
    "x2=indexes_strings\n",
    "y=cgm_estimate\n",
    "y_std=cgm_std\n",
    "\n",
    "axs[0].errorbar(x1, y, y_std, color='#FF6961', fmt='o', solid_capstyle='projecting')\n",
    "axs[0].set_xlabel(x1_label)\n",
    "axs[0].set_ylabel(y_label)\n",
    "axs[0].set_xticks(np.arange(0, np.max(x1), step=1))\n",
    "\n",
    "\n",
    "axs[1].errorbar(x2, y, y_std, color='#FF6961', fmt='o', solid_capstyle='projecting')\n",
    "axs[1].set_xlabel(x2_label)\n",
    "axs[1].set_ylabel(y_label)\n",
    "axs[1].set_xticklabels(labels=x2, rotation=90)\n",
    "\n",
    "axs[0].legend((r'White matter (one 5x5 ROI, ~genu$\\mathregular{^{*}}$)', 'Grey matter (three 3x3 ROIs, cortex)'))\n",
    "\n",
    "if fig_id<10:\n",
    "    filename = \"0\" + str(fig_id) + \"_\" + file_prefix\n",
    "else:\n",
    "    filename = str(fig_id) + \"_\" + file_prefix\n",
    "\n",
    "fig.savefig(folder_path / (str(filename) + '.svg'), facecolor='white')\n",
    "fig.savefig(folder_path / (str(filename) + '.png'), facecolor='white')\n",
    "fig_id = fig_id + 1\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/l1/1xswjffd73l8yp7dd7pq9lyw0000gn/T/ipykernel_36138/3877408191.py:17: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_xticklabels(labels=x2, rotation=90)\n",
      "/var/folders/l1/1xswjffd73l8yp7dd7pq9lyw0000gn/T/ipykernel_36138/3877408191.py:26: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_xticklabels(labels=x2, rotation=90)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x2_label='Site #.Meas #'\n",
    "y_label=\"T$_1$ (ms)\"\n",
    "file_prefix = 'WM_and_GM'\n",
    "folder_path=output_folder\n",
    "\n",
    "x2=indexes_strings\n",
    "y=genu_estimate\n",
    "y_std=genu_std\n",
    "\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (20,10)\n",
    "fig, ax = plt.subplots(1)\n",
    "\n",
    "ax.errorbar(x2, y, y_std, fmt='o', solid_capstyle='projecting')\n",
    "ax.set_xlabel(x2_label)\n",
    "ax.set_ylabel(y_label)\n",
    "ax.set_xticklabels(labels=x2, rotation=90)\n",
    "\n",
    "x2=indexes_strings\n",
    "y=cgm_estimate\n",
    "y_std=cgm_std\n",
    "\n",
    "ax.errorbar(x2, y, y_std, color='#FF6961', fmt='o', solid_capstyle='projecting')\n",
    "ax.set_xlabel(x2_label)\n",
    "ax.set_ylabel(y_label)\n",
    "ax.set_xticklabels(labels=x2, rotation=90)\n",
    "\n",
    "ax.legend((r'White matter (one 5x5 ROI, ~genu$\\mathregular{^{*}}$)', 'Grey matter (three 3x3 ROIs, cortex)'), prop={'size': 30})\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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