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{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e7797698-4ef1-459b-aba6-70f5a19700fe",
   "metadata": {},
   "source": [
    "# Fast theta2 plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5c70feea-56cc-47e0-ac6f-1a1badb72b6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import astropy.units as u\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.style as style\n",
    "from matplotlib.offsetbox import AnchoredText\n",
    "\n",
    "from lstchain.io.io import dl2_params_lstcam_key\n",
    "from lstchain.reco.utils import (\n",
    "    compute_theta2,\n",
    "    extract_source_position,\n",
    "    clip_alt,\n",
    "    get_effective_time,\n",
    "    radec_to_camera,\n",
    ")\n",
    "from ctapipe.containers import EventType\n",
    "from ctapipe.coordinates import CameraFrame\n",
    "from astropy.coordinates import (\n",
    "    ICRS,\n",
    "    Galactic,\n",
    "    FK4,\n",
    "    FK5,\n",
    "    AltAz,\n",
    "    SkyCoord,\n",
    "    EarthLocation,\n",
    ")\n",
    "from astropy.time import Time\n",
    "from gammapy.stats import WStatCountsStatistic\n",
    "\n",
    "style.use('tableau-colorblind10')\n",
    "plt.rcParams['font.size'] = 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "13478fbb-ce71-40a7-ade3-ba24fd7bf3a8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lstchain: 0.9.2\n"
     ]
    }
   ],
   "source": [
    "import lstchain\n",
    "print(\"lstchain:\", lstchain.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee6d5a07-31ac-4037-a344-d4d41bc1f301",
   "metadata": {
    "tags": []
   },
   "source": [
    "## This function gets the source position in camera coordinates for any source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c64aebd0-c499-45aa-b093-5457eab3110e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_source_position_from_coord(\n",
    "    data, coord, equivalent_focal_length=28 * u.m\n",
    "):\n",
    "    \"\"\"\n",
    "    Extract source position from data\n",
    "    Parameters:\n",
    "    -----------\n",
    "    pandas.DataFrame data: input data\n",
    "    str observed_source_name: Name of the observed source\n",
    "    astropy.units.m equivalent_focal_length: Equivalent focal length of a telescope\n",
    "    Returns:\n",
    "    --------\n",
    "    2D array of coordinates of the source in form [(x),(y)] in astropy.units.m\n",
    "    \"\"\"\n",
    "\n",
    "    obstime = pd.to_datetime(data[\"dragon_time\"], unit=\"s\")\n",
    "    pointing_alt = u.Quantity(data[\"alt_tel\"], u.rad, copy=False)\n",
    "    pointing_az = u.Quantity(data[\"az_tel\"], u.rad, copy=False)\n",
    "    source_pos_camera = radec_to_camera(\n",
    "        coord,\n",
    "        obstime,\n",
    "        pointing_alt,\n",
    "        pointing_az,\n",
    "        focal=equivalent_focal_length,\n",
    "    )\n",
    "    source_position = [source_pos_camera.x, source_pos_camera.y]\n",
    "    return source_position"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04be8310-f669-4d4b-9bc3-3d28ce3557b6",
   "metadata": {},
   "source": [
    "## Choose input files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "d86c8d23-6cdd-4203-8b74-080d5729581b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 0 ns, sys: 17 µs, total: 17 µs\n",
      "Wall time: 32.2 µs\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "data=pd.DataFrame()\n",
    "base_dir = '/fefs/aswg/workspace/alice.donini/Analysis/data/DL2/OT081/03_04/'\n",
    "runs=['7247', '7248', '7249', '7250', '7268', '7269', '7270', '7271'] # You can concatenate several runs\n",
    "for run in runs:\n",
    "    input_file = base_dir + 'dl2_LST-1.Run0' + run + '.h5'\n",
    "    data = pd.concat([data, pd.read_hdf(input_file, key=dl2_params_lstcam_key)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "6d3c7a4c-7962-4996-9fa1-63031759e082",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>obs_id</th>\n",
       "      <th>event_id</th>\n",
       "      <th>intensity</th>\n",
       "      <th>log_intensity</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>r</th>\n",
       "      <th>phi</th>\n",
       "      <th>length</th>\n",
       "      <th>length_uncertainty</th>\n",
       "      <th>...</th>\n",
       "      <th>reco_disp_dx</th>\n",
       "      <th>reco_disp_dy</th>\n",
       "      <th>reco_src_x</th>\n",
       "      <th>reco_src_y</th>\n",
       "      <th>signed_time_gradient</th>\n",
       "      <th>signed_skewness</th>\n",
       "      <th>reco_alt</th>\n",
       "      <th>reco_az</th>\n",
       "      <th>reco_type</th>\n",
       "      <th>gammaness</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7247</td>\n",
       "      <td>1</td>\n",
       "      <td>5558.815268</td>\n",
       "      <td>3.744982</td>\n",
       "      <td>-0.004939</td>\n",
       "      <td>0.015149</td>\n",
       "      <td>0.015934</td>\n",
       "      <td>1.885987</td>\n",
       "      <td>1.129726</td>\n",
       "      <td>0.007532</td>\n",
       "      <td>...</td>\n",
       "      <td>0.832716</td>\n",
       "      <td>-0.015970</td>\n",
       "      <td>0.827777</td>\n",
       "      <td>-0.000821</td>\n",
       "      <td>0.812561</td>\n",
       "      <td>-0.076595</td>\n",
       "      <td>0.834200</td>\n",
       "      <td>1.868510</td>\n",
       "      <td>101</td>\n",
       "      <td>0.003333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7247</td>\n",
       "      <td>2</td>\n",
       "      <td>141.059285</td>\n",
       "      <td>2.149402</td>\n",
       "      <td>0.163317</td>\n",
       "      <td>0.811628</td>\n",
       "      <td>0.827897</td>\n",
       "      <td>1.372226</td>\n",
       "      <td>0.081826</td>\n",
       "      <td>0.004962</td>\n",
       "      <td>...</td>\n",
       "      <td>0.050537</td>\n",
       "      <td>-0.248039</td>\n",
       "      <td>0.213855</td>\n",
       "      <td>0.563589</td>\n",
       "      <td>-2.572229</td>\n",
       "      <td>0.845133</td>\n",
       "      <td>0.812062</td>\n",
       "      <td>1.897811</td>\n",
       "      <td>101</td>\n",
       "      <td>0.085833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7247</td>\n",
       "      <td>4</td>\n",
       "      <td>142.004474</td>\n",
       "      <td>2.152302</td>\n",
       "      <td>-0.071148</td>\n",
       "      <td>-0.984977</td>\n",
       "      <td>0.987544</td>\n",
       "      <td>-1.642904</td>\n",
       "      <td>0.104376</td>\n",
       "      <td>0.006505</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.185304</td>\n",
       "      <td>0.207286</td>\n",
       "      <td>-0.256451</td>\n",
       "      <td>-0.777691</td>\n",
       "      <td>-2.829985</td>\n",
       "      <td>1.035164</td>\n",
       "      <td>0.795081</td>\n",
       "      <td>1.828885</td>\n",
       "      <td>101</td>\n",
       "      <td>0.115690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7247</td>\n",
       "      <td>5</td>\n",
       "      <td>82.812871</td>\n",
       "      <td>1.918098</td>\n",
       "      <td>0.706447</td>\n",
       "      <td>-0.135670</td>\n",
       "      <td>0.719357</td>\n",
       "      <td>-0.189736</td>\n",
       "      <td>0.089534</td>\n",
       "      <td>0.007189</td>\n",
       "      <td>...</td>\n",
       "      <td>0.027651</td>\n",
       "      <td>-0.377567</td>\n",
       "      <td>0.734098</td>\n",
       "      <td>-0.513237</td>\n",
       "      <td>-9.201743</td>\n",
       "      <td>-0.596836</td>\n",
       "      <td>0.830675</td>\n",
       "      <td>1.841381</td>\n",
       "      <td>101</td>\n",
       "      <td>0.297679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7247</td>\n",
       "      <td>6</td>\n",
       "      <td>387.911234</td>\n",
       "      <td>2.588732</td>\n",
       "      <td>-0.353784</td>\n",
       "      <td>-0.610470</td>\n",
       "      <td>0.705576</td>\n",
       "      <td>-2.096026</td>\n",
       "      <td>0.200827</td>\n",
       "      <td>0.005634</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.343944</td>\n",
       "      <td>0.008421</td>\n",
       "      <td>-0.697729</td>\n",
       "      <td>-0.602050</td>\n",
       "      <td>1.243090</td>\n",
       "      <td>0.158467</td>\n",
       "      <td>0.779484</td>\n",
       "      <td>1.838331</td>\n",
       "      <td>101</td>\n",
       "      <td>0.318167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4703232</th>\n",
       "      <td>7271</td>\n",
       "      <td>6875377</td>\n",
       "      <td>26.366716</td>\n",
       "      <td>1.421056</td>\n",
       "      <td>0.363717</td>\n",
       "      <td>0.163353</td>\n",
       "      <td>0.398716</td>\n",
       "      <td>0.422124</td>\n",
       "      <td>0.072286</td>\n",
       "      <td>0.004999</td>\n",
       "      <td>...</td>\n",
       "      <td>0.323878</td>\n",
       "      <td>0.058110</td>\n",
       "      <td>0.687595</td>\n",
       "      <td>0.221463</td>\n",
       "      <td>0.133079</td>\n",
       "      <td>-0.062316</td>\n",
       "      <td>1.015517</td>\n",
       "      <td>2.111565</td>\n",
       "      <td>101</td>\n",
       "      <td>0.234262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4703233</th>\n",
       "      <td>7271</td>\n",
       "      <td>6875380</td>\n",
       "      <td>316.378483</td>\n",
       "      <td>2.500207</td>\n",
       "      <td>-0.627153</td>\n",
       "      <td>0.324259</td>\n",
       "      <td>0.706020</td>\n",
       "      <td>2.664412</td>\n",
       "      <td>0.549196</td>\n",
       "      <td>0.007050</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.331546</td>\n",
       "      <td>0.239815</td>\n",
       "      <td>-0.958699</td>\n",
       "      <td>0.564074</td>\n",
       "      <td>0.918155</td>\n",
       "      <td>-0.259290</td>\n",
       "      <td>0.956476</td>\n",
       "      <td>2.131501</td>\n",
       "      <td>101</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4703234</th>\n",
       "      <td>7271</td>\n",
       "      <td>6875382</td>\n",
       "      <td>34.390079</td>\n",
       "      <td>1.536433</td>\n",
       "      <td>-0.543439</td>\n",
       "      <td>0.177228</td>\n",
       "      <td>0.571608</td>\n",
       "      <td>2.826344</td>\n",
       "      <td>0.044486</td>\n",
       "      <td>0.001474</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.426950</td>\n",
       "      <td>0.026139</td>\n",
       "      <td>-0.970389</td>\n",
       "      <td>0.203367</td>\n",
       "      <td>20.490553</td>\n",
       "      <td>0.075689</td>\n",
       "      <td>0.956315</td>\n",
       "      <td>2.109157</td>\n",
       "      <td>101</td>\n",
       "      <td>0.453071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4703235</th>\n",
       "      <td>7271</td>\n",
       "      <td>6875383</td>\n",
       "      <td>609.365335</td>\n",
       "      <td>2.784878</td>\n",
       "      <td>-0.835687</td>\n",
       "      <td>0.627784</td>\n",
       "      <td>1.045221</td>\n",
       "      <td>2.497312</td>\n",
       "      <td>0.188546</td>\n",
       "      <td>0.004151</td>\n",
       "      <td>...</td>\n",
       "      <td>0.121237</td>\n",
       "      <td>0.337459</td>\n",
       "      <td>-0.714450</td>\n",
       "      <td>0.965243</td>\n",
       "      <td>1.780293</td>\n",
       "      <td>0.264297</td>\n",
       "      <td>0.964621</td>\n",
       "      <td>2.157079</td>\n",
       "      <td>101</td>\n",
       "      <td>0.420667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4703236</th>\n",
       "      <td>7271</td>\n",
       "      <td>6875385</td>\n",
       "      <td>35.637082</td>\n",
       "      <td>1.551902</td>\n",
       "      <td>0.255900</td>\n",
       "      <td>0.675475</td>\n",
       "      <td>0.722323</td>\n",
       "      <td>1.208659</td>\n",
       "      <td>0.066841</td>\n",
       "      <td>0.004855</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.279754</td>\n",
       "      <td>0.349490</td>\n",
       "      <td>-0.023854</td>\n",
       "      <td>1.024965</td>\n",
       "      <td>-11.338355</td>\n",
       "      <td>-0.089569</td>\n",
       "      <td>0.989137</td>\n",
       "      <td>2.163228</td>\n",
       "      <td>101</td>\n",
       "      <td>0.329143</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>32056543 rows × 58 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         obs_id  event_id    intensity  log_intensity         x         y  \\\n",
       "0          7247         1  5558.815268       3.744982 -0.004939  0.015149   \n",
       "1          7247         2   141.059285       2.149402  0.163317  0.811628   \n",
       "2          7247         4   142.004474       2.152302 -0.071148 -0.984977   \n",
       "3          7247         5    82.812871       1.918098  0.706447 -0.135670   \n",
       "4          7247         6   387.911234       2.588732 -0.353784 -0.610470   \n",
       "...         ...       ...          ...            ...       ...       ...   \n",
       "4703232    7271   6875377    26.366716       1.421056  0.363717  0.163353   \n",
       "4703233    7271   6875380   316.378483       2.500207 -0.627153  0.324259   \n",
       "4703234    7271   6875382    34.390079       1.536433 -0.543439  0.177228   \n",
       "4703235    7271   6875383   609.365335       2.784878 -0.835687  0.627784   \n",
       "4703236    7271   6875385    35.637082       1.551902  0.255900  0.675475   \n",
       "\n",
       "                r       phi    length  length_uncertainty  ...  reco_disp_dx  \\\n",
       "0        0.015934  1.885987  1.129726            0.007532  ...      0.832716   \n",
       "1        0.827897  1.372226  0.081826            0.004962  ...      0.050537   \n",
       "2        0.987544 -1.642904  0.104376            0.006505  ...     -0.185304   \n",
       "3        0.719357 -0.189736  0.089534            0.007189  ...      0.027651   \n",
       "4        0.705576 -2.096026  0.200827            0.005634  ...     -0.343944   \n",
       "...           ...       ...       ...                 ...  ...           ...   \n",
       "4703232  0.398716  0.422124  0.072286            0.004999  ...      0.323878   \n",
       "4703233  0.706020  2.664412  0.549196            0.007050  ...     -0.331546   \n",
       "4703234  0.571608  2.826344  0.044486            0.001474  ...     -0.426950   \n",
       "4703235  1.045221  2.497312  0.188546            0.004151  ...      0.121237   \n",
       "4703236  0.722323  1.208659  0.066841            0.004855  ...     -0.279754   \n",
       "\n",
       "         reco_disp_dy  reco_src_x  reco_src_y  signed_time_gradient  \\\n",
       "0           -0.015970    0.827777   -0.000821              0.812561   \n",
       "1           -0.248039    0.213855    0.563589             -2.572229   \n",
       "2            0.207286   -0.256451   -0.777691             -2.829985   \n",
       "3           -0.377567    0.734098   -0.513237             -9.201743   \n",
       "4            0.008421   -0.697729   -0.602050              1.243090   \n",
       "...               ...         ...         ...                   ...   \n",
       "4703232      0.058110    0.687595    0.221463              0.133079   \n",
       "4703233      0.239815   -0.958699    0.564074              0.918155   \n",
       "4703234      0.026139   -0.970389    0.203367             20.490553   \n",
       "4703235      0.337459   -0.714450    0.965243              1.780293   \n",
       "4703236      0.349490   -0.023854    1.024965            -11.338355   \n",
       "\n",
       "         signed_skewness  reco_alt   reco_az  reco_type  gammaness  \n",
       "0              -0.076595  0.834200  1.868510        101   0.003333  \n",
       "1               0.845133  0.812062  1.897811        101   0.085833  \n",
       "2               1.035164  0.795081  1.828885        101   0.115690  \n",
       "3              -0.596836  0.830675  1.841381        101   0.297679  \n",
       "4               0.158467  0.779484  1.838331        101   0.318167  \n",
       "...                  ...       ...       ...        ...        ...  \n",
       "4703232        -0.062316  1.015517  2.111565        101   0.234262  \n",
       "4703233        -0.259290  0.956476  2.131501        101   0.000000  \n",
       "4703234         0.075689  0.956315  2.109157        101   0.453071  \n",
       "4703235         0.264297  0.964621  2.157079        101   0.420667  \n",
       "4703236        -0.089569  0.989137  2.163228        101   0.329143  \n",
       "\n",
       "[32056543 rows x 58 columns]"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Take a look at the dataframe\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "4719a335-07e8-439a-94fe-c2570b27aacc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['obs_id', 'event_id', 'intensity', 'log_intensity', 'x', 'y', 'r',\n",
       "       'phi', 'length', 'length_uncertainty', 'width', 'width_uncertainty',\n",
       "       'psi', 'skewness', 'kurtosis', 'time_gradient', 'intercept',\n",
       "       'leakage_intensity_width_1', 'leakage_intensity_width_2',\n",
       "       'leakage_pixels_width_1', 'leakage_pixels_width_2', 'n_pixels',\n",
       "       'concentration_cog', 'concentration_core', 'concentration_pixel',\n",
       "       'n_islands', 'alt_tel', 'az_tel', 'calibration_id', 'dragon_time',\n",
       "       'ucts_time', 'tib_time', 'ucts_jump', 'mc_type', 'wl', 'tel_id',\n",
       "       'tel_pos_x', 'tel_pos_y', 'tel_pos_z', 'trigger_type',\n",
       "       'ucts_trigger_type', 'trigger_time', 'event_type', 'delta_t',\n",
       "       'log_reco_energy', 'reco_energy', 'reco_disp_norm', 'reco_disp_sign',\n",
       "       'reco_disp_dx', 'reco_disp_dy', 'reco_src_x', 'reco_src_y',\n",
       "       'signed_time_gradient', 'signed_skewness', 'reco_alt', 'reco_az',\n",
       "       'reco_type', 'gammaness'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12e3ea68-d3db-4206-b298-96a6ae79bb9e",
   "metadata": {},
   "source": [
    "## Get the observation time and store some useful variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "86b86e4f-d5e2-43fd-aa02-34e3cab4127e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$113.39653 \\; \\mathrm{min}$"
      ],
      "text/plain": [
       "<Quantity 113.39652908 min>"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obstime_real = get_effective_time(data)[0]\n",
    "gammaness = np.array(data.gammaness)\n",
    "leakage_intensity_width_2 = np.array(data.leakage_intensity_width_2)\n",
    "intensity = np.array(data.intensity)\n",
    "alt = np.array(data.alt_tel)\n",
    "wl = np.array(data.wl)\n",
    "event_type = np.array(data.event_type)\n",
    "event_id = np.array(data.event_id)\n",
    "obstime_real.to(u.min)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f216328-4d73-4d01-9c39-29bc122f4f0b",
   "metadata": {},
   "source": [
    "## Define some cuts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "8cf05da2-8465-469c-8c19-9fa42bc4b50c",
   "metadata": {},
   "outputs": [],
   "source": [
    "gammaness_cut=0.7\n",
    "intensity_cut=50\n",
    "\n",
    "intensity_cut_high=1e10\n",
    "alt_min=0 * np.pi / 180\n",
    "wl_cut=0.0\n",
    "THETA2_GLOBAL_CUT=0.04\n",
    "theta2_range=(0,1)\n",
    "norm_range_theta2_min=0.5\n",
    "norm_range_theta2_max=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "dcbd1b51-a61a-4f8f-8901-adf6fd1102f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "condition = (gammaness > gammaness_cut) \\\n",
    "                                     & (intensity > intensity_cut) \\\n",
    "                                     & (intensity < intensity_cut_high) \\\n",
    "                                     & (alt > alt_min) \\\n",
    "                                     & (wl > wl_cut) \\\n",
    "                                     & (event_type != EventType.FLATFIELD.value)\\\n",
    "                                     & (event_type != EventType.SKY_PEDESTAL.value)\\\n",
    "                                     & (leakage_intensity_width_2 < 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "0b543652-5e56-4514-9a29-92e7955db457",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Apply now the cuts to the data\n",
    "selected_data=data[condition]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d749f93-84ce-46a8-840a-d9ec7b87873e",
   "metadata": {},
   "source": [
    "## Define source coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "dc37fb0e-4d62-44a2-a833-347041fd30a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "source_name = 'OT081'\n",
    "#coords = [\"17 51 12.0 +11 25 11.1\"] #IC\n",
    "coords = [\"17 51 32.82 +9 39 00.73\"]\n",
    "coordinates = SkyCoord(coords, frame=ICRS, unit=(u.hourangle, u.deg))\n",
    "\n",
    "filename_output = f'{source_name}'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "caf5b2a6-2e07-47c9-afbb-5ee2d6cc256e",
   "metadata": {},
   "source": [
    "## Calculate the source true position"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "bb1ceb9d-70e0-4436-8bf0-8e501ceece25",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2min 47s, sys: 2.11 s, total: 2min 49s\n",
      "Wall time: 2min 49s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "true_source_position = extract_source_position_from_coord(selected_data, coordinates)\n",
    "#true_source_position = extract_source_position(selected_data, 'Crab') #If its a catalogued source, like the Crab, you can use this lstchain function\n",
    "off_source_position = [element * -1 for element in true_source_position]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "853176d9-3a76-410d-950e-d54880fd7f1b",
   "metadata": {},
   "source": [
    "## Compute theta2 of the ON and OFF data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "cfc9be93-e910-4921-80ae-b356c1959fea",
   "metadata": {},
   "outputs": [],
   "source": [
    "theta2_on = np.array(compute_theta2(selected_data, true_source_position))\n",
    "theta2_off = np.array(compute_theta2(selected_data, off_source_position))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9fd8eb1-79bb-452c-bae8-0ec5e6ac0a13",
   "metadata": {},
   "source": [
    "## Create histograms for theta2 plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "7e3a0e0c-6e7c-4f2f-96d7-270da0b6bb91",
   "metadata": {},
   "outputs": [],
   "source": [
    "#nbins=100 #Choose your preferred number of bins\n",
    "nbins=round((theta2_range[1]/THETA2_GLOBAL_CUT)*2) # Make the histogram so there are only two bins before the theta2 cut\n",
    "hist_on, bin_edges_on=np.histogram(theta2_on,density=False, bins=nbins, range=theta2_range)\n",
    "hist_off, bin_edges_off=np.histogram(theta2_off, density=False, bins=nbins, range=theta2_range)\n",
    "\n",
    "bin_width=bin_edges_on[1]-bin_edges_off[0]\n",
    "bin_center=bin_edges_on[:-1]+(bin_width/2)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a071434e-1916-431f-9a0e-ab970c57718f",
   "metadata": {},
   "source": [
    "## Calculate the Li&Ma significance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "12a4d3f3-ddcc-44bf-9b6c-b60edc77c548",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9995566252850266\n",
      "1.000443571383309\n"
     ]
    }
   ],
   "source": [
    "N_on = np.sum(hist_on[bin_edges_on[1:]<=THETA2_GLOBAL_CUT])\n",
    "N_off = np.sum(hist_off[bin_edges_off[1:]<=THETA2_GLOBAL_CUT])\n",
    "\n",
    "N_off_err = np.sqrt(N_off)\n",
    "\n",
    "idx_min = (np.abs(bin_edges_on - norm_range_theta2_min)).argmin()\n",
    "idx_max = (np.abs(bin_edges_on - norm_range_theta2_max)).argmin()\n",
    "\n",
    "Non_norm = np.sum(hist_on[idx_min:idx_max])\n",
    "Noff_norm = np.sum(hist_off[idx_min:idx_max])\n",
    "\n",
    "alpha = Noff_norm / Non_norm\n",
    "\n",
    "stat = WStatCountsStatistic(n_on=N_on, n_off=N_off, alpha=alpha)\n",
    "significance_lima = stat.sqrt_ts\n",
    "\n",
    "textstr = r'N$_{{\\rm on}}$ = {:.0f} '\\\n",
    "            f'\\n'\\\n",
    "            r'N$_{{\\rm off}}$ = {:.0f} $\\pm$ {:.1f}'\\\n",
    "            f'\\n'\\\n",
    "            r'Time = {:.1f}'\\\n",
    "            f'\\n'\\\n",
    "            r'1/$\\alpha$ = {:.1f}'\\\n",
    "            f'\\n'\\\n",
    "            r'LiMa Significance = {:.1f} $\\sigma$ '.format(N_on,\n",
    "                                                      N_off,\n",
    "                                                      N_off_err,\n",
    "                                                      obstime_real.to(u.h),\n",
    "                                                      1/alpha,\n",
    "                                                      significance_lima)\n",
    "\n",
    "print(alpha)\n",
    "print(1/alpha)\n",
    "#props = dict(boxstyle='Round', facecolor='white', alpha=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f60c686f-1705-4c59-aa08-db4c5cd84f2b",
   "metadata": {},
   "source": [
    "## Plot Theta2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "72e03bd4-f43e-4422-8790-5e8b014d5708",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 10))\n",
    "\n",
    "ax.errorbar(bin_center, hist_on, yerr=np.sqrt(hist_on), fmt='o', label='ON data', ms=10, color='tab:orange')\n",
    "ax.errorbar(bin_center, hist_off, yerr=np.sqrt(hist_off),fmt='s',label='Background', ms=10, color='tab:blue')\n",
    "ax.set_xlim(0, 0.5)\n",
    "#ax.set_xlim(left=0)\n",
    "ax.grid(ls='dashed')\n",
    "ax.axvline(THETA2_GLOBAL_CUT, color='black',ls='--',alpha=0.75)\n",
    "ax.set_xlabel(\"$\\\\theta^{2} [deg^{2}]$\")\n",
    "ax.set_ylabel(\"Counts\")\n",
    "ax.legend(loc='lower right')\n",
    "ax.set_title(source_name)\n",
    "\n",
    "box_prop = dict(boxstyle='Round', facecolor='white', alpha=0.5)\n",
    "text_prop = dict(fontsize=20, bbox=box_prop)\n",
    "txt = AnchoredText(textstr, loc=1, transform=ax.transAxes, prop=text_prop, frameon=False)\n",
    "ax.add_artist(txt)\n",
    "#txt = ax.text(0.57, 0.98, textstr, transform=ax.transAxes, fontsize='x-large',\n",
    "#        verticalalignment='top', bbox=props)\n",
    "\n",
    "plt.savefig(os.path.join(base_dir, f'{filename_output}_fast_theta2.png'), dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6304bddb-e444-4f9c-8374-c3a6586586e5",
   "metadata": {},
   "source": [
    "## Plot excess counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "bbaedc6a-cfe0-4b75-8f90-4f9880ab4e05",
   "metadata": {},
   "outputs": [],
   "source": [
    "excess=hist_on-hist_off\n",
    "excess_err=np.sqrt(np.sqrt(excess**2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "a30e8d54-34c3-47cc-ba78-82fe1d7078d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8XNvrg76Xfce8uz3uO9ZIxf6j/dpWWlKIwjHZA8onf6PjhXhRXYjf4uYMgTHmK8ArwDxgKfAI8BtgFHDxScte0W3ZXwH/DSQD3wGe6e826+vrByG5BE203Sg6G1Ui3flZF42tYdKTEvv8GZvt/aXG2OyUfj0/PSmxXw0POTUdL8SL6kL8FhdnCIwxHwW+DrwIXGWtrTvp8aRu/84GFgFh4GJrbUXH/V8FXgauNsZcZ63td8NA4svpulH09yyBSCy4qSyPx/64lea29q77UhITuKksz10oEZE4d+0PIg2+xbeWOk7yNzHfIDDGJAALgQbg+pMbAwDW2tZu/70aGAs83dkY6FimqeMsw0vAp+nHmYKEhLg5wTIs+NWNoi0Uf2NLJHppaWmuI/SyYOZ4AB59YQutYcu47BRuKsvrun+wRdMVL14FsS7EPdWF+C3mGwRExgtMBZ4FjhpjLgfOB5qA1621J593e0/H7VKPdb1CpGEx1xiTYq1tPt2GMzIyogoeRPE4LqJTZzeKvozNTqG6tveu7+xG0afpM88knsS5OXPmuI7gacHM8Sx98wAAC68rGrLtnKorHjCsGwVBrQtxS3UhfouHr7j/ruP2ILAG+C3wEPAo8JoxZoUxZmy35Tun/9ty8oqstW3ATiINpWl9bfjEiRNnnjqgFi5cyMKFC13HcOqmsjxSEnu+NAbSjeLIlo1DkEpiXXl5uesITumKRt6Ge12IN9WF+C0ezhCM67j9FJEP838PlANnExlYfCnwS/42sHhEx+3xU6yv8/6RXg8aY24BbgEYN24cy5cvB2DatGlkZWWxbt06AEaPHk1hYSGvvPIKAImJiZSVlbFmzRpqa2sBKCkp4eDBg+zZsweA/Px8UlJS2LBhA53rnzFjBitXrgQi396XlpZSUVHRNaB5zpw57N27l6qqyIDXgoICQqFQ16QmEyZMYOrUqV0DlNLS0pgzZw7l5eVdE6uVlpayc+dODhyIfEs4c+ZMwuEwmzdH3qhzc3OZPHly1wEqMzOTkpISVq1aRXNz5Jv0srIytmzZQnV1NQDnn38+zc3NbN26FYApU6Ywfvx4KioivbSys7MpLi5m5cqVtLW1ATBv3jw2btzIkSNHACgqKqKuro4dO3YAkJeXR05ODmvWrAFg1KhRFBUVsWLFCqy1GGOYP38+69at4+jRSNee4uJiampqqKyspKE1TE7uFJLTMqjeHvnd0rJHMmbqOexZtxqAhFCIBRcUc+xAFT9ZW0+bhbGZyXz0gmzOadnN7jd2Myr3LBKTkzm0cxsA6SNzyJlyNnvXrwWgpbEBQPvpDPcTxOfr6dChQyxfvtyX/dTQGubsd5RweOd2GmuPRX7/cwpoaTzBsX17ARgxYRKpWSM4uPUtmuqbSUiMzIy6e10FWAvGcFZRCdXbN9NUF/kbj88/j6a64xw/sA+AkZMmc9yG+P2GyL5OzhrBiLOmcWhj5LVgQiHGnlfE0R2bqTpFV7yqY438efNOju+O1E/KiFFkTTqLw29F9n1CUhJjCi6gZttbtDc3kZqYEFevJ2st69ev1+sp4PvJ7+NefX0969evj7v9VL1hDQnGkJSWxsSC86na+Abh1kiv7skXzKJmzy4ajtUAMHbqdMKtLbQ2N7P7jb+SPW4C6aNGc2Bz5Eu35IwMJuTPZO/6NbSHI182TCmazeGd22k5WsPuUMJpj3sAqVnZjDungN3rKmiqbwIDQJ/Hve6fIxIzs2kfXzyg/dTSAsYkdH2G7O9+GkrGWjukGxhqxphvAXcC7UCxtXZdt8fSiJwJmAzMtdauMsZsAfKBfGvtNo/1vQaUAqXW2r+cbtsFBQW2s9jjxdNPPw3AjTfe6DjJ4KvYf7R/XX463PVMpJQG2o2icu3rfOB97x3QcyT+LV++nIsvvtiXbflV6wC7jzdw1oj0Ppf7+A/LPbvijctO4clb+vdG19DaRsnEUQPOGGR+1oXEjnitC7+OTf09Lg2GMzkunemgYmPMamttyYCe1E/x0GWoc5Tnju6NAQBrbSPwQsd/39lx23kGYATesk9a7pQyMzMHEDM2rFmzpusbDjkzowvOdx1BAqi0NDhXk3Ah2q548Wq414V4U12I3+KhQdD5Ff2xUzze2WDoHLLfufyMkxc0xiQSGaDcBuzoa8OdpyNFujtRvd91BAmgnTt3uo7g1IKZ4/n8JfkkhSLn5Mdlp/D5S/KH7IpGsWK414V4U12I3+KhQfAKkQ/w+caYZI/HO7+urey4fbnj9jKPZecB6cBrfV1hCKC1tbWvRWQYajp6xHUECaDOvrXD2YKZ4zl3YjYXTB7Bk7fMGfaNAVBdiDfVRcTC64qG9Opn8jcx3yCw1h4GFhPpAnRv98eMMe8jMqj4OH+7zOizwGHgOmNMSbdlU4H/6PjvE0McW0REREQkEOLhKkMAXwTmAPcYY+YBrxO5ytCHicxIfLO19hiAtbbWGHMzkYbBcmPMM0AN8CEilyR9lkgDo0/xOHFIdnZ23wvJaWVPyXMdQQJo5kzNTyG9qS7Ei+pC/BYXDQJrbbUxZg7wFSKNgHcBdcDvgG+efLUga+0SY8x84B7gI0AqsI1Iw+Ix289LL8X6FZq8PPDAA64jxDzbHn91IdELh/ueJVuGH9WFeFFdiN9ivstQJ2ttjbX2i9baqdbaZGvtaGvtFae6dKi19s/W2g9Ya0dZa9OstRdYa79jre33q7CpqWnwfgGJG3VVu1xHkACKt0sUy+BQXYgX1YX4LW4aBDI4Fi1axKJFi1zHEBERERGfxEWXIVeSk70uahTbNm7c6DpCzEsbPdZ1BAmg3Nxc1xEkgFQX4kV1IX7TGYIoJCUluY4gAZSWowaB9DZ58mTXESSAVBfiRXUhflODIAonTpxwHUECqGbrJtcRJIDKy8tdR5AAUl2IF9WF+E0NAhERERGRYUxjCKIQCoVcRxh0Y8equ0u0ElPjb34KiV5mZqbrCBJAqgvxoroQv6lBEIX09HTXEQbdPffc4zpCzMuZfp7rCBJAJSUlfS8kw47qQryoLsRv6jIUBY0hEC+HN693HUECaNWqVa4jSACpLsSL6iJ+LVlbxdrdxyjfWcNFD73MkrVVriMBahBEpb293XWEQff444/z+OOPu44R09pbW11HkABqbm52HUECSHUhXlQX8WnJ2irufm49LeHI58eqY43c/dz6QDQK1GVIeti2bZvrCCLis4XXFbmOICIS9x5+YTONreEe9zW2hnn4hc1cOcvt3BNqEERBg37Ey5jz9OFKeisrK3MdQQJIdSFeVBex41hTKxX7j/Zr2X3HGk95f3/XMVTUZSgKOqUnXur27XYdQQJoy5YtriNIAKkuxIvqIna0tVvSkxL79TM2O8VzHWOzU/r1/KGkBkEUWtVXPK4tvK7ojLpSNB9328qXYKqurnYdQQJIdSFeVBfx6aayPFISe370TklM4KayPDeBulGXIelhypQpriOIiIiIxJ0FM8cD8OgLW2gNW8Zlp3BTWV7X/S6pQRCFtLT4m4DqjjvucB0h5o04a5rrCBJA559/vusIEkCqC/GiuohfC2aOZ+mbB4BgXdBBDYIoWGtdR5AACre2uI4gAaQxRxFBegMMAtWFeFFdiN80hiAKTU1NriMMukceeYRHHnnEdYyYVr9/r+sIEkBbt251HUECSHUhXlQX4jedIZAe9uzZ4zqCiIiIiPhIZwiikJyc7DqCBFD6GPeDgyR4NGBfvKguxIvqQvymBkEUkpKSXEeQAEodmeM6ggTQ+PFqKEpvqgvxoroQv6lBEIUTJ064jiABVLPtLdcRJIAqKipcR5AAUl2IF9WF+E1jCKSH6dOnu44gIiIiIj5SgyAKoVDIdYRBd9ttt7mOEPOS0jNcR5AAys7Odh1BAkh1IV5UF+I3dRmKQnp6uusIEkCjphW4jiABVFxc7DqCBJDqQryoLsRvahBEob6+3nWEQffggw/y4IMPuo4R0w69tc51BAmglStXuo4gAaS6EC+qC/GbugxFIR5nKj506JDrCDHPhsOuI0gAtbW1uY4gAaS6EC+qC/GbzhCIiIiIiAxjahBEISsry3UECaCxhbNcR5AAmjdvnusIEkCqC/GiuhC/qUEQhcbGRtcRJICO797hOoIE0MaNG11HkABSXYgX1YX4TWMIohCPffwKCwtdR4h5LXXHXUeQADpy5IjrCBJAqgvxoroQv6lB4LNrf7AKgMW3ljpO4u3mm292HUFEREREfKQuQ1HQPATiZWSeZnuW3oqKilxHkABSXYgX1YX4TQ2CKITj8PKS9957L/fee6/rGDGttbHBdQQJoLq6OtcRJIBUF+JFdSF+U4MgCs3Nza4jDLra2lpqa2tdx4hpJw7ucx1BAmjHDg02l95UF+JFdRHfFl5XxMLrgnUWSA0CEREREZFhTA2CKKSkpLiOIAGUMW6i6wgSQHl5ea4jSACpLsSL6kL8pgZBFEKhkOsIEkDJmdmuI0gA5eTkuI4gAaS6EC+qC/GbGgRRaGiIv8GjxcXFFBcXu44R047u2Ow6ggTQmjVrXEeQAFJdiBfVhfhN8xBIDzfeeKPrCCIiIiLiI50hiEJiotpT0ltyZpbrCBJAo0aNch1BAkh1IV5UF+I3NQiikJaW5jrCoLvrrru46667XMeIaSPz8l1HkADSREPiRXUhXlQX4jc1CKIQjxOHNDc3x+X8Cn6q3rjWdQQJoBUrVriOIAGkuhAvqgvxmxoEIoPNWtcJJICs6kI8qC7Ei+pC/KYGgchgM8Z1Agkgo7oQD6oL8aK6EL+pQRCFrCwNHpXexhXOch1BAmj+/PkDfs61P1jFtT9YNQRpJCjOpC4k/qkuxG9qEEShsbHRdYRBV1paSmlpqesYMe1Y5VbXESSA1q1b5zqCBJDqQryoLsRvum5mFNra2lxHGHTXXnut6wgxr6U+/gabS/SOHj3qOoIEkOpCvKguxG86Q+CjJWurWLv7GOU7a7jooZdZsrbKdSQRERERGebitkFgjLnBGGM7fv7lFMvMNcb83hhTY4xpMMa8aYy53RgT6s820tPT+51nydoq7n5uPS3hdgCqjjVy93PrA9couP3227n99ttdx4hpo6YVuI4gAVRcXOw6ggSQ6kK8qC7Eb3HZIDDGTAH+C6g/zTJXAK8A84BfAf8NJAPfAZ7pz3bC4XC/Mz38wmYaW3su39ga5uEXNvd7HRIbWuprXUeQAKqpqXEdQQJIdSFeVBfit7gbQ2Ai1+r6CXAEeA74N49lsoFFQBi42Fpb0XH/V4GXgauNMddZa0/bMGhqaqZif//6+e075j0Aed+xxn6tIy0pROGY7H5tS9w6Ub0fmOk6hgRMZWUleXl5rmNIwKguxIvqQvwWdw0C4PPAe4CLO269XA2MBZ7ubAwAWGubjDFfAV4CPk0fZwoskJ7Uvz/h2OwUqmt7zwA8NjulX+toaI2/AcwiIiIi4l5cdRkyxpwHPAR811r7ymkW7WwoLPV47BWgAZhrjEk53fYSkpL6ne2msjxSEnv+uVMSE7ipLK/f65DYkDF+kusIEkDTpk1zHUECSHUhXlQX4re4OUNgjEkEfgrsBr7cx+Kdoz63nPyAtbbNGLMTKASmAW+dcpsJ/W9PLZg5HoBHX9hCa9gyLjuFm8ryuu4PigULFriOEPOS0vo/2FyGD01kKF5UF+JFdSF+i5sGAXAvMAsos9b2NWPYiI7b46d4vPP+kSc/YIy5BbgFYOy4cex+46+RBSdNJjktg+rtkUHCadkjGTP1HPasWw1AQijEgguK+XX5dtrD7dxRksCEqVkc27eH2uoDAIzKPYvE5GQO7dwGQPrIHHKmnM3e9Wtpt5ZVlemUlpZSUVFBfX1kvPScOXPYu3cvVVWRqxUVFBQQCoXYtGkTABMmTGDq1KmsWhWZ7TQtLY05c+ZQXl7eNbFaaWkpO3fu5MCBA4wYMYKZM2eyf/9+Nm+O/C65ublMnjyZ8vJyADIzMykpKWHVqlU0N0e6QZWVlbFlyxaqq6sBOP/882lubmbr1sgkXVOmTGH8+PFUVER6aGVnZ1NcXMzKlSu75nOYN28eGzdu5MiRIwAUFRVRV1fHjh07AMjLyyMnJ4c1a9ZE/l6jRlFUVMSKFSuw1mKMYf78+axbt67rGs7FxcXU1NRQWVlJQ2uYnNwpfe6nyRcUc2DrJlpOnIj8DQsKaTh6pF/7CaClsQHyzx7S/QQwc+ZMwuFw3O0niHw7lpWV1TU5z+jRoyksLOSVVyIn/hITEykrK2PNmjXU1kYGcZeUlHDw4EH27NkDQH5+PikpKWzYsAGAcePGMWPGDFauXAlASkrKkL+euu+n1atXk5mZOaD9dOzYMQAOHz48oP3U0Brm7HeUcHjndhprI+sYd04BLY0nOLZvLwAjJkwiNWsEB7dGvvNIzcpm3DkF7F5XAdaCMZxVVEL19s001UX+xuPzz6Op7jjHD+wDIse99nCI3Ts3Rv4eQ/B6CiUlkVv4DvZv3kBzQwPLN4fi6vVkrWXMmDF6PQV8P/l93Kuvr+fss8+Ou/1UvWENCcaQlJbGxILzqdr4BuHWVgAmXzCLmj27aDgWGVA9dup02lpaOFq1O7Jfxk0gfdRoDmyOHG+SMzKYkD+TvevX0N5xkZcpRbM5vHM7LUdr2B1KGLLjXvfPEW2pGdjsc4fsuNfa8TeeeN4FDCVjrR3SDfjBGPNO4DXgP621X+p2//3AfcDN1tofdbt/C5AP5Ftrt3ms7zWgFCi11v7lVNvNn1Fgn3+t4lQPe7rrmcgBeeF1RQN6XkNrGyUTRw3oOWei8wCaknLa3lIxqWL/0X6P+YhG5drX+cD73jvk25HYsnz5ci6++OIBPefaH0TegBffOrDZw/2qdYDdxxs4a4Q/Z8X8Og766UzqQuJfvNaFX8cmP49Lfm6rcGz2amttyVCsO+bPEHTrKrQF+Go/n9Z5BmDEKR7PPmk5722H+jVdQUy56667AHj00UfdBolhyVmnKisZzkaPHu06ggSQ6kK8qC7Eb/EwqDgTmAGcBzR1m4zMEjk7ALCo475HO/7fefH/GSevrKOBMRVoA3acbsOh5ORBiC/xZsRZGgwmvRUWFrqOIAGkuhAvqgvxWzw0CJqB/znFz9qOZVZ2/H9Vx/9f7ri9zGN984B04DVrbe/rhHbT1tjXUAUZjg5tXNv3QjLsdPYDFulOdSFeVBfit5jvMtQxgPhfvB7rGEMwC3iq+xgC4FlgIXCdMea/uk1Mlgr8R8cyTwxZaBERERGRgIiHMwQDZq2tBW4GQsByY8yPjDHfAt4gMpj4WWBxnysyQxhSYlY8ji2R6CUmDuz7lyVrq1i7+xjlO2u46KGXWbK2aoiSiUsDrQsZHlQX4rdhW3HW2iXGmPnAPcBHgFRgG/BF4DHbj8svJaXG3/XmL7vMqxeVDMTY8wZ2BSkZHsrKyvq97JK1Vdz93Hpawu0AVB1r5O7n1gNw5azcIcknbgykLmT4UF2I3+L6DIG19n5rrTmpu1D3x/9srf2AtXaUtTbNWnuBtfY71tpwf9bf1tw0uIED4LLLLlOjIEpHd2zueyEZdjqvT94fD7+wmcbWnoehxtYwD7+g2oo3A6kLGT5UF+K3YXuGYDDY9nbXEQbd8eORK62OGKFLZ56p1oYTriNIAFXXHKNi/9F+LbvvmPcFC/Yda+zXOo41tfo2D4FEp3OCKZHuVBfiN71jSA/33Re5UqvmIRAZXO3W9vtD+tjsFKpre1/kbGx2Sr/WcbihZcD5RE52phPjiUjsiesuQ0MtMSXVdQQJoJzp57mOIAE0kLq4qSyPlMSeh+eUxARuKssb5FTiWknJkEw6KjFOdSF+U4MgCu3hNtcRJICajtW4jiABNJC6WDBzPJ+/JJ+kUORSZuOyU/j8JfksmDl+qOKJIwcPHnQdQQJIdSF+U4MgCu1tahBIbw2HdSCX3gZaFwtmjufcidlcMHkET94yR42BOLVnzx7XESSAVBfiNzUIRERERESGMQ0qjkIoKcl1hEF3xRVXuI4Q8zInTnYdQQJIdSFe8vPzXUeQAFJdiN/UIIiGGfhUxQuvC/akVQsWLHAdIeaFkpJdR5AAUl2Il5SUFNcRJIBUF+I3dRmKQrgl/i7tV11dTXV1tesYMe347h2uI0gAqS7Ey4YNG1xHkABSXYjfdIZAevjGN74BaB4CERERkeFCZwiikBAKuY4gAZQyYpTrCBJAqgvxMm7cONcRJIBUF+I3NQiikKA+weIha9JZriNIAKkuxMuMGTNcR5AAUl2I39QgiEJbU6PrCBJAh99a5zqCBJDqQrysXLnSdQQJINWF+E0NAhERERGRYUyDiqNgzuCyo0F3zTXXuI4Q8xLicH4KiZ7qQrzo8pLiRXUhflODIAqJqWmuIwy6uXPnuo4Q88YUXOA6wrBz7Q9WAbD41lLHSU5NdSFeSkuDW7PijupC/KYuQ1Foa46/MQR79uxhz549rmPEtJptb7mOIAGkuhAvFRUVriN4WrK2irW7j1G+s4aLHnqZJWurXEcaVoJaFxK/dIYgCrbduo4w6B555BFA8xBEQ4PNxYvqQrzU19e7jtDLkrVV3P3celrC7QBUHWvk7ufWA3DlrFyX0YaNINaFxDedIRAREZEuD7+wmcbWcI/7GlvDPPzCZkeJRGSo6QxBFBJTU11HkADKyZ/pOoIE0JnUxcLrioYgiQTJnDlzfNvWxsO1vT7oe9l3zPts1r5jjVTsP9qvbaUlhSgckz2gfPI3ftaFCOgMQVTa29pcR5AAaqw55DqCBJDqQrzs3bvXt201toZJT0rs82dstvcVbsZmp/Tr+elJif1qeMip+VkXIqAGQVTUIBAvjUf0wU96U12Il6qq4A3Wvaksj5TEnh8PUhITuKksz02gYSiIdSHxTV2GpIcbbrjBdQQREXFowczxADz6whZaw5Zx2SncVJbXdb+IxB81CKIQSk52HWHQzZ4923WEmJeVe7brCBJAqgvxUlBQ4DqCpwUzx7P0zQOAxrK4ENS6kPilLkPSw7Zt29i2bZvrGDHNJMTfDNYSPdWFeAmFQq4jSACpLsRvahBEIdzS4jrCoHv88cd5/PHHXceIabV7Kl1HkABSXYiXTZs2uY4gQ+jaH6zqmkl9IFQX4jc1CEREREREhjE1CKKQkKhTetJb6qjRriNIAKkuxMuECRNcR5AAUl2I39QgiEJCYpLrCBJAGeMmuo4wrCxZW8Xa3cco31nDRQ+9zJK1wbxcn+pCvEydOtV1BAkg1YX4TQ2CKLQ1NbmOcFpn2ndRonNk8wbXEYaNJWuruPu59bSE2wGoOtbI3c+tD2SjQHUR3870eLtqlY7R0pvqQvymy45KDzfffLPrCCL99vALm3vNiNrYGubhFzZz5axcR6lERERiixoEUTAm/i4jWFhY6DpCzAslp7iOEPM2Hq7t9UHfy75jjae8v2L/0X5tKy0pROGY7AHlOxOqC/GSlpbmOoIEkOpC/KYGQRQSU+PvBbtx40ZADYNojJ6hv120GlvDpCf1fXgam51CdW2z5/39eT5AQ2vbgPOdCdWFeJkzZ47rCBJAqgvxm8YQRKGtyfvbyVi2aNEiFi1a5DpGTDuyZaPrCMPGTWV5pCT2PIylJCZwU1mem0CnoboQL+Xl5a4jSACpLsRvOkMQBWut6wgSQOGW3t9Yy9BYMHM8AI++sIXWsGVcdgo3leV13R8kqgvx0tgYf18sSfRUF+I3NQhEJKYtmDmepW8eAGDhdUWO04iIiMQeNQiikJia6jqCBNDogvNdR5AAUl2Il9LSUtcRTkkNbHeCXBcSnzSGIArtba2uI0gAnaje7zqCBJDqQrzs3LnTdQQJINWF+E0Ngii0t/V9WcRYc9ttt3Hbbbe5jhHTmo4ecR1BAkh1IV4OHDjgOoIMkWhmUVddiN/UZUh6mD59uusIIiIiMe1Us6gDmjRRAklnCKIQSk52HWHQrV69mtWrV7uOEdOyp+S5jiABpLoQLzNnznQdQYbA6WZR7w/VhfhNZwjiVOepypZwOxc99DJ3XlrQr28lfvrTnwIwe/bsoY4Yt2y7Lkcrvaku4teZHm8BwuH463oar/o7gzpEP4t6e20948aNG1A+kWjoDEEUwi0triN4OtWpyoH0X5QzV1e1y3UECSDVRXyK9ni7eXP/vjEW9zpnUO/Pz9jsFM91dM6i3tfP4d0aVCz+UoMgDkV7qlJERPpHx1vxEkuzqIuAugxFJSHRvz/fsabWfp1mhOhOVR480URigtqJ0UgbPdZ1BAkg1UXs8LNrSOLI0QPKJrEh2lnUdbwQv6lBEAU/GwRt7Zb0pP5tb2x2CtW1zZ7397WOxIQE2trbzyijRKTl6EAuvakuYkdn15D+iOZ4C9A2csyA80lsiGYWdR0vxG/6KjgKbU1NriN4iuZU5cc/8zn+8dbPDlGy4aFm6ybXESSAVBfxKdquIaoL8aK6EL/pDEEciuZU5cTcyTS0tg11RBGRuBBt1xARkSCI+QaBMWY08GHgcuACIBdoAdYDPwF+Yq3t1QfGGDMX+ArwLiAV2Ab8GPgva22/Oo+aBDMYv8KQONNTlWtfL6eprY2SD102VNHiXmJqmusIw85AT8e7oLqIX9F0DVFdiBfVhfgt5hsEwEeBJ4D9wDJgNzAeuAr4EfB+Y8xHrbVdFwE3xlwB/B/QBCwGaoAPAt8BLupYZ58SU+LvBbv0+edoa2/nn9UgOGM5089zHUECSHUhXlQX4kV1IX6LhzEEW4APAZOttf9orb3bWvtJ4FxgD/ARIo0DAIwx2cAiIAxcbK39Z2vtncA7gFXA1caY6/qz4bYm76tLyPB2ePN61xEkgFQX4kV1IV5UF+K3mG8QWGtfttb+5uRuQdbaA8D3O/57cbeHrgbGAs9Yayu6Ld9EpAsRwKf7ue0zjS1xrL211XUECSDVhXhRXYgX1YX4LeYbBH3ofEV1HyX7no7bpR7LvwI0AHONMd7TDIqIiIiIxJF4GEPgyRiTCNzY8d/uH/4LOm63nPwca22bMWYnUAhMA97yWO8twC0A4ydMZPcbfwVg5KTJJKdlUL09MjtlWvZIxkw9hz3rVgOQEAox+YJiDmzdRMuJEwBMKCik4egRaqsjg9FG5Z5FYnIyh3ZuAyB9ZA45U85m7/q1tITbqUpNIbfwHezfvIHWxkh3pYnnXUDdoYPUH64GIGdKHiYhgSO7dtBU30woKYm21hb2bVwHQGJKCpPOu5B9b71JW3Pk2tmTCos4vr+KEzWHqTt0kOTMbPbv38/mzZHfJTc3l8mTJ1NeXg5AZmYmJSUlrFq1iuaOdZSVlbFlyxaqqyM5zj//fJqbm9m6dSsAU6ZMYfz48VRURE7KZGdnU1xczMqVK2lri7TX5s2bx8aNGzly5AgARUVF1NXVsWPHDgDy8vLIyclhzZo1kb/XqFEUFRWxYsUKrLUYY5g/fz7r1q3j6NHIhEDFxcXU1NRQWVlJQ2uYnNwpQ7qf4G/zU1RUVFBfXw/AnDlz2Lt3L1VVVQAUFBQQCoXYtClyabkJEyYwdepUVq1aFcmVlsacOXMoLy+nsWNfl5aWsnPnTg4ciOSYOXMm4XA47vYTgMkZT0JW9pDup1BSErmF76Bm21ss39wy5PsJLLvf+CuZY8aRNXY8+9+KdAlISktjYsH5VG18g3DHt4KTL5hFzZ5dNByrAWDs1Om0tbRwtGp3ZL+Mm0D6qNEc2LwRgOSMDCbkz2Tv+jW0h8O0hNuxxX/H4Z3baaw9BsC4cwpoaTzBsX17ARgxYRKpWSM4uDVymEvNymbcOQXsXlcB1oIxnFVUQvX2zTTV1QIwPv88muqOc/zAPiBy3GsPh9i9c+OQ76f9mzfQ3NDA8s2hIX89NbSGyR47fkD7qam+meS0NOoOHez3fgIYfe6FrF+/fkhfT9OmTSMrK4vqDWtIMGbI91NrYyPt1tI4cm5cHfeO7drO4frIa6G/r6emE3VgYfe6in69nv72/mRZv349hYWFvPLKKwAkJiZSVlbGmjVrqK2NrKOkpISDBw+yZ88eAPLz80lJSWHDhg2RnOPGMWPGDFauXAlASkoKpaWlzt6fOmtwKI57AFOKZnN453ZajtawO5QwZMe97p8j2lIzsNnnDunrCSKf94aSidduL8aYbwN3AL+31l7e7f4tQD6Qb63d5vG8PwNzgbnW2lWn20bBeTPtr14tH9zgp7D7eANnjUgf0HPueibSCBjIVS+OHDpEY1sbl1wwY0DbigUV+4/2e7KhaOzfsZX3vrN4yLcTz/zaVwANrW2UTBw15Nt56fU1TJyWP+TbgTM7XsTCtvzaV2dSf2dyvAV/jxfx+LryU7zWhZ/8qsF4PQYWjs1eba0tGYp1x+UZAmPM54k0Bt4Gbhjo0ztu+2wpdbZI48nosWM1D0GUmo8fdR1BAkh1IV5UF+JFdSF+i7sGgTHms8B3gU3Ae621NSctcrzjdsQpVpF90nLDSvnKV2huC1Ny9YdcRxEREYlpsTBHigjE2aBiY8ztwOPABmBBx5WGTra547ZXn5iOcQdTiQxC3tHX9kLJyWecNahe/sPvWPHC713HiGkjzprmOoIEkOpCvKguxIvqQvwWNw0CY8xdRCYWe4NIY6D6FIu+3HHrNfPWPCAdeM1a29znRuN0/IVEJ9za4jqCBJDqQryoLsSL6kL8FhcNAmPMV4GHgNVEugkdPs3izwKHgeuMMV0DM4wxqcB/dPz3if5sNxzw6wQvvK5IpysdqN+/13UECSDVRXw70+Ot6kK8qC7EbzE/hsAYcxPwAJGZh18FPm+MOXmxSmvtkwDW2lpjzM1EGgbLjTHPADVEZjsu6Lh/sT/pRURERKJ37Q8iF0ZcfGup4yQSi2K+QUCkzz9ACLj9FMusAJ7s/I+1dokxZj5wD/ARIBXYBnwReMz281qsndebF+kufcx41xEkgFQX4kV1IV5UF+K3mP9Ea629H7j/DJ73Z+AD0Ww7IRTzf75ebrvryzS2xt/lVP2UOjLHdQQJINWFeFFdiBfVhfgtLsYQuNLW3OQ6wqDLyh5BZnZ23wvKKdVs6zXBtYjqQjypLsSL6kL8pgaB9PDqS3/itWUvuo4hIiIiIj5RgyAKJiH+/nwrX36RVctech0jpiWlZ7iOIAGkuhAvqgvxoroQv8XfJ1ofJaakuo4gATRqWoHrCBJAqgvxoroQL6oL8ZsaBFFobWpwHUEC6NBb61xHkABSXYgX1YV4UV2I39QgiIYmKhYPNqyrNElvqgvxoroQL6oL8ZsaBCIiIiIxbMnaKtbuPkb5zhoueuhllqytch1JYkz8XUjfR4lpaa4jDLo77n2AhtY21zFi2tjCWa4jSACpLsSL6kK8DKQulqyt4u7n1tMSbgeg6lgjdz+3HoArZ+UOST6JPzpDEIVwS4vrCIMuOSWF5JQU1zFi2vHdO1xHkABSXYgX1YV4GUhdPPzC5l4Tija2hnn4hc2DHUvimM4QRCEe+/i9/Iff0dwWpuQT/+g6SsxqqTvuOoIEkOpCvKguxEtj7TEq9h/t17L7jjWe8v7+rCMtKUThGE1IOtypQSA9lK98hbb2dlCDQERExAlrIT2pfx/RxmanUF3b7Hl/f9ahbsIC6jIUlZC61oiHkXnTXUeQAFJdiBfVhXhJnDS138veVJZHSmLPj3MpiQncVJY3yKkknqlBEAXb3u46ggRQa6Pmp5DeVBfiRXUhXmyzdzcgLwtmjufzl+STFDIAjMtO4fOX5LNg5vihiidxSA2CKLS3trqOIAF04uA+1xEkgFQX4kV1IV7CRw4MaPkFM8dz7sRsLpg8gidvmaPGgAyYGgQiIiIiIsOYBhVHISEpyXWEQXf3gws1wChKGeMmuo4gAaS6EC+qC/ESyhnnOoIMMzpDEIWEBP35pLfkTF2+TXpTXYgX1YV4MelZriPIMKNPtFFoa+59ma9Y94df/R9/fP451zFi2tEdmgxGelNdiBfVhXhp27vddQQZZtRlSHp4o+L1yDwE/LPrKCIiIiLiA50hiIIJ6c8nvSVn6lSv9Ka6EC+qC/Fi0jNcR5BhRp9oo5CYnOo6ggTQyLx81xEkgFQX4kV1IV6SJk1zHUGGGTUIoqAJZcRL9ca1riNIAKkuxIvqQry0bF8/4OcsvK6IhdcVDUEaGQ40hkB6SE5JISGsGZijYq3rBBJEqgvxoroQLyoL8ZkaBNLDHfc+oHkIomWM6wQSRKoL8aK6EC8qC/GZugxFISkt3XUECaBxhbNcR5AAUl2IF9WFeEk+5wLXEWSYUYMgCm0tTa4jDLrnF/8vv/vlM65jxLRjlVtdR5AAUl2IF9WFeGndt8N1BBlm1GUoCjYO+9pvenNdxzwEcqZa6utcR5AAUl2IF9WFeLENJ1xHkGFGZwhERERERIYxNQiikJiS4jqCBNCoaQWuI0gAqS7Ei+pCvCROPsd1BBlm1CCIQru61oiHlvpa1xEkgFQX4kV1IV5sg7qSib/UIIhCe2ur6wiDLjMri4zMLNcxYtqJ6v2uI0gAqS7Ei+pCvIRrql1HkGFmQIOKjTGzgFLg/1lrj3fclwF8D7gCaAAWWmu/O9hBxR+f+/evaB4CERERkWFkoGcI7gLu6WwMdPgmcEPHukYD/2mMuWSQ8gVaQlKS6wgSQBnjJ7mOIAGkuhAvqgvxEho9wXUEGWYG2iAoAZZ3/scYkwTcBLwOjAOmAoeBzw9SvkAzCfHX4+qXP32SX/2/p1zHiGmasE68qC7Ei+pCvJiUNNcRZJgZ6CfaccCebv8vAbKAH1hrm6y1+4DngQsHKV+ghZubXUcYdNvefosdm992HSOmHavc5jqCBJDqQryoLsRL276driPIMDPQBoGl57iDso77VnS77xAwNspcIiIiIiLig4E2CHYD7+r2/yuAvdba7nNsTwKORhssFphQyHUECaDkrBGuI0gAqS7Ei+pCvCRk6Gp/4q+BNgh+Acw1xjxrjPkZkSsOPXvSMucD2wcjXNCFkpNdR5AAGnHWNNcRJIBUF+JFdSFeQhPOdh1BhpmBNgi+A6wCrgKuB9YBD3Q+aIyZCcymZxeiuNXW2Og6wqDLGT2GUaPHuI4R0w5tXOs6ggSQ6kK8qC7ES+v2Da4jyDAzoHkIrLX1wEXGmPM77tpkre0+XW8D8GGgYpDyic9u/eKdmodAREREZBgZ6MRkZwHHrLWeTVdrbaUx5ggwajDCBZ5xHUCCSGNLxIvqQryoLsRTHF7WXIJtoBW3E7i9j2U+37Fc3EtKjb/rR/+/H/2AX/x4kesYMW3seUWuI0gAqS7Ei+pCvCRPK3QdQYaZgTYI9J14N23NTa4jDLrdO3ewp3JH3wvKKR3dsdl1BAkg1YV4UV2Il9a9mp9C/DUU56TGAyeGYL2BY9vb+15Ihp3WhmFR/jJAqgvxoroQL7Yp/i5aIsHW5xgCY8yNJ931Do/7AELAWcANwPpByCYiIiIiIkOsP4OKnyQyGzEdt1d0/JyssztRA/C1qJPFgMSUVNcRJIBypp/nOoIEkOpCvKguxEvilOmuI8gw058GwSc6bg3wY2AJ8LzHcmHgCLDKWntsMMIFXXs4/i7POTF3Mi3hsOsYMa3pWA2RCbtF/qbpWA3ZWZp9VHrS8UK8tNcfg3GjXceQYaTPBoG19qnOfxtjbgKWWGufHtJUPjHGTCYysdplwGhgP5EGz9estUf7en57W/w1CD7+mc8Fdh6CJWur+NKzb9ISbid3ZBp3XlrAlbNyXcfqpeHwQSITdov8TcPhgzBFs49KTzpeiJf2o4eBc1zHkGFkoBOTLRiqIH4zxpwDvAaMI3LG423gncAXgMuMMRdZa484jCjdLFlbxd3PraclHBnIXXWskbufiwxVCWKjQERERCRWDOeZL75HpDHweWvtldbaf7fWvgf4DlAAPNjXCkJJSUMc0X9Pfu+/+Nn3H3cdo5eHX9hMY2vPrkyNrWEefiF4l+zLnDjZdQQJINWFeFFdiJfQ2ImuI8gwM6AzBADGmPnAnUS+TR+Fd6PCWmsHvG6/GGOmAZcAlcB/n/TwfcAtwA3GmDustae+JpyJv2kZ9lftpc3Hy6luPFzb64O+l33HvC/Btu9YIxX7++zdBcCxplbSk4a+LENJyUO+DYk9qgt/LVlbxcMvbGbfsUYmBbiLoepCvJhE1YX4a0CfjowxlxPpYx8CdgObgWB2OD+993Tc/tFa2+PTr7W2zhjzZyINhncBL51qJeGWlqFLOEw0tob79SF9bHYK1bXNnvf390P+4QZ/9tfx3TugYKov25LYcXz3DkaNHuM6xrDQ2cWw88uGIHcx1PFCvLTt3wWTJriOIcPIQL8uvR9oBS631v5x8OP4pqDjdsspHt9KpEEwg9M0CNrbw+xYUz7I0bw1t4XZkRga8u3UVh/AAsuWLRvybQHUtbSR0I8zLe+f3Mb/vg2t3ZpvSQmR+/u7D/z6GzbV1/r294tX/a2LwdBuLcveHvozRw11x+PueOH3tvq7r76+opHGVtvjvsbWMF9/fh0jjp3qsP83ftafn8eLeHxd+cnPv19zfa1vxws/95Vff8N4PQYOpYFWwPnAMzHeGAAY0XF7/BSPd94/8uQHjDG3EOlSxNlnn01TfS0AoaQUTCiBto7ZBRNCiSSmpNLSUB95HoakjEzaGhtob498a5WUlk57Wxvh1sg316HkFIxJoK35b+sIpaTS2lAPFpoTDEnpmbQ2nuiaJTkpLYP21hbCba0AJCangoG25qbIOhKTCCUl09p4oiN/AknpGbQ2nKDz5EhSWgbh1hba21ppa23BhBI5fqKRtpbIOkKJSSR0X0dCAklpGbQ21FNxyPDb3SHq2gyjkuGyyW3MHtNOYkoa1rYTbmnu+Pskk5CYSGtjQyRXQojEtHRaTtTTOc1Fcnombc1NXZdzTUxNw4bbCbc2c0EmXHNOMr/fbTjabBmZDJef1c7s8cld+wAgOSOLtqYG2jsunZqUmk57uONvbKE1eYj3E2Ctpa6lbUj3E0TmwWhvt7S3Nve5n6yN/I2T0jMJd/8b93M/tZ7oWIc5/X7qWkcokdamjnWEQiSmptNyoq5/+wlISEomIRQa0v1kTOT11NJwgiMnhnY/YSMzmzfV1w79fsKChfaMod9PoaTI37ip/sSQ76fO11PNiUgNhltbutaRmJKKMYbWjno50pTM36bG+ZsjTe3UHD3a8btlEm5u7trXSalpWGtpa27C4sPrqeO4ZxISOVpbN/T7KZRAW2MjGH/2ExZq04fu9dT9/YnEJMIdf5+h2k/J6Zm0NjViO/4+Q7qfmhrBttPS2DD0+wkIpaZzrK5pyPdTQlJyZGZuM7T7qa25CdvWRpPxYT8BJiFEe0LakO+npLQMhtJAGwT1QM1QBAmYzncSe/ID1tofAj8EmD17tr36qqv8zDXkDuzbx+7jDcx417v7XHbZpoM8t3orzW2RYj3aAs/tTmHyufksmDm+X9traG2jZOKofi17Nf0Y6R0Ar+89TGZqii/b2n28gbNGpMfdtgZSF9Gq2H/Ul7El9U3NvHOyugz54T+3vEyVx7ij3JHpfOSqf3CQ6NT8PF7E4+sK/Ds2+fn3a2trIzHRn7+fn/vKz7+hDMxArzL0ElA6FEF81nkGYMQpHs8+aTlP9fX1gxYoKG677Tau+eTN/Vr2qZWVXY2BTs1t7Ty1snIIksWOw2+tcx1BAkh14Z87Ly0gLannKfy0pBB3Xlpwime4o7oQLytXrnQdQYaZgTYJ7wJeN8Z8BXjQdp7niT2d16qccYrH8ztu++5sGofSkkL9mpzskMcg3877+zu52clv2iIi0eocOBwLVxkSEQmCgTYI7gM2Al8DPmmMeQM45rGctdb+c3TRhlTnCK5LjDEJ3a80ZIzJAi4CGoG/nG4lCQnxN43Dgw9GOuXcc889fS47aWSa52n5SSPThvUpwYQ4nJ9Coqe68NeVs3JjogGguhAvKSn+dCMT6TTQBsHHu/07r+PHiwUC2yCw1m43xvyRyJWEPgv8V7eHvwZkAD847RwEQEbG0A7wcOHQoUP9XvbOSwt6XNoPgnta3k9jCi5wHUECSHUhXlQX4qW0NB56Z0ssGWiDIJ4ulvwZ4DXgMWPMe4G3gDnAAiJdhfr8iryhoWFIAwadTst7q9n2Funn6U1eeqrZ9hZMnOs6hgSMjhfipaKigpKSEtcxZBgZUIPAWrtrqIL4reMsQQnwAHAZ8AFgP/AY8DVrbZ9XUwqH+55hN97Fyml5P3VeikykO9WFeFFdiJd4vGiJBFt8zRoyQNbaPcAnXOcQEREREXFlQA0CY8xZ/V3WWrt74HFiSzyOISgsLHQdIebl5M90HUECSHUhXlQX4mXOnDmuI8gwM9AzBJV4TNblwZ7BumNOa2ur6wiD7uab+zcHgZxaY80hsjMzXceQgGmsOQR5E13HkIDR8UK87N27l/z8/L4XFBkkA/3Q/jTeDYKRwDuAs4HlQNyMNTidlpYW1xEkgBqPHIKz4mn8vQyGxiP9v4KXDB86XoiXqqoqNQjEVwMdVPzxUz1mjEkAvgp8Crgpuljiyr333gvAAw884DiJiIiIiPhh0GbWsta2W2u/RqRb0UODtd4gS01NdR1h0NXW1lJbW+s6RkzLyj3bdQQJINWFeFFdiJeCguE9n4/4byim2n2NyIRfcc8Y4zqCBJBJUF1Ib6oL8aK6EC+hUMh1BBlmhqJBkENkpt+419io60dLb7V7Kl1HkABSXYgX1YV42bRpk+sIMswMaoPAGPP3wLXAhsFcr4iIiIiIDI2BzkPw8mnWMwXonKdgWIxITUpKch1h0BUXF7uOEPNSR412HUECSHUhXlQX4mXChAmuI8gwM9DLjl58ivstcBR4Afi2tfZUDYe4kpKS4jrCoLvxxhtdR4h5GeN0rXnpTXUhXlQX4mXqVF2KVvw1oC5D1tqEU/yErLVjrLUfGC6NAYD6+nrXESSAjmxWjznpTXUhXlQX4mXVqlWuI8gwMxSDiiWG3XXXXdx1112uY4iIiIiITwbaZagHY0w2MAI4bq0ddhevT0iIv/ZUc3Oz6wgxL5Q88K5kdz2zDoCF1xUNdhwJiDOpC4l/qgvxkpaW5jqCDDMD/kRrjAkZY/7dGLONyLiBSuCoMWZbx/1RNTJiSUbGsLi6qgzQ6BmFriNIAKkuxIvqQrzMmTPHdQQZZgbUIDDGJAN/Ah4E8oA9wOsdt3kd97/YsVzcO3HihOsIEkBHtmx0HUECSHUhXlQX4qW8vNx1BBlmBnqG4ItErjT0O+A8a22etbbUWpsHFAC/Ad7dsVzca29vdx1BAijcom5X0pvqQryoLsSLJj4Vvw20e8/1RCYdu9Ja2+PTsLV2uzHmKuAN4B+BhwYlofiqtLTUdQQRERER8dFAGwTTgf86uTHQyVrbboz5A/C5qJPFgMzMTNcRBt21117rOkLMG11wvusIEkCqC/GiuhAv+nJO/DbQLkMtQF+fgjOA1jOLE1t0RR7xcqJ6v+sIEkCqC/GiuhAvO3fudB1BhpmBNgjeBK42xoz1etAYMwa4GlgXbbBY0Noaf+2e22+/ndtvv911jJjWdPTIgJZftukgb++vZf3e43z8h+Us23RwiJKJSwOtCxkeVBfi5cCBA64jyDAz0AbB48BY4HVjzD8bY6YZY9KMMVONMZ8Ayjsef3ywg4rEo2WbDvLYH7fSGrYAVNc289gft6pRICIiIr4Z0BgCa+0vjDHvAP4d+KHHIgb4lrX2F4OQLfA0cYh4yZ6S1+9ln1pZSXNbzyE5zW3tPLWykgUzxw9yMnFpIHUhw4fqQrzMnDnTdQQZZgY8iZi19svGmF8D/wzMomOmYmAt8GNr7arBjRhc1lrXESSAko2hobWtX8seqvUeh3Kotrlf60hMMAPKJu7Ydh0vpDfVhXgJh8OuI8gwc0azCltr/wL8ZZCzxJympibXESSAGvbv5uKCaf1adtLINKqO9b7e9KSRaZRMHNXn8yv2Hx1wPnGjrmoXzJzuOoYETF3VLkaP09lA6Wnz5s1MnDjRdQwZRvocQ2CMSTHGvG6MeckYk3Sa5ZI7lvnL6ZaTYFuwYAELFixwHWPYuPPSAtKSQj3uS0sKceelBY4SiYiIyHDTnzME/wjMBj5orT3lZXWstS3GmIeB33c858lBSRhgycnJriMMuiuuuMJ1hJiXm5vb72WvnBVZ9kvPvklLuJ3ckWnceWlB1/0SP9JGe16cTYY51YV4Gcj7iMhg6E+D4Cpgh7X2930taK1daozZCnyUYdAgSEqKvxMhnXMrpKSkOE4SuyZPnjyg5a+clcvPX98NwOJbNRlNvErL0Qc/6U11IV4G+j4iEq3+XHZ0FrB8AOt8BXjHmYSJNSdOnHAdYdDddddd3HXXXa5jxLTy8nLXESSAarZuch1BAkh1IV70PiJ+60+DYAwwkIuiHwRGn1kcERERERHxU38aBI1A5gDWmQkMi8vvhEKhvheSYSczcyAvFxkuElM1b4n0proQL3ofEb/1p0GwB/i7AayzBNh9ZnFiS3p6uusIEkAlJSWuI0gA5Uw/z3UECSDVhXjR+4j4rT8NguXAu4wxfVanMWY2MBdYFmWumBCPYwgkeqtWDZu5+WQADm9e7zqCBJDqQrzofUT81p+rDD0OfBr4pTHmA9bat7wWMsacC/wSCAPfG7yIwdXe3u46wqC77LLLXEeIeZ1XahoIXV0o/rW3nvKqzTKMqS7Ey5m8j4hEo88GgbV2szHmAeB+YK0x5lngZWAvYIHJwHuBjwApwL3W2s1DlliGlBoEIiIiIsNLf84QYK19wBjTBtwHXA987KRFDNAK3GOt/ebgRgyueBz0c/z4cQBGjBjhOEnsKisrcx1BAmjMeUWuI0gAqS7Ei95HxG/9GUMAgLX2G8AM4OtExgi8DWzu+PcDwIzh1BiA+Dyld99993Hfffe5jhHTtmzZ4jqCBFDdvmFxrQUZINWFeNH7iPitX2cIOllrdxE5SyBAq/p+iofq6mpmzpzpOoYETPPxo64jSACpLsSL3kfEb/0+QyAiIiIiIvFHDYIopKVpQhnp7fzzz3cdQQJoxFnTXEeQAFJdiBe9j4jf1CCIgrXWdQQJoHgcWyLRC7e2uI4gAaS6EC96HxG/qUEQhaamJtcRBt0VV1zBFVdc4TpGTNu6davrCBJA9fv3uo4gAaS6EC96HxG/DWhQscS/BQsWuI4gIiIiIj7SGYIoJCcnu44w6Kqrq6murnYdI6ZNmTLFdQQJoPQx411HkABSXYgXvY+I33SGIApJSUmuIwy6b3zjGwA8+uijboPEsPHj9QYvvaWOzHEdQQJIdSFe9D4iftMZgiicOHHCdQQJoIqKCtcRJIBqtr3lOoIEkOpCvOh9RPymBoGIiIiIyDCmBkEUQqGQ6wgSQNnZ2a4jSAAlpWe4jiABpLoQL3ofEb+pQRCF9PR01xEkgIqLi11HkAAaNa3AdQQJINWFeNH7iPgtphsExph8Y8xdxpiXjTF7jDEtxpiDxpjnjTGnvX6mMeYmY8zrxph6Y8xxY8xyY8w/DGT79fX10f0CAXTNNddwzTXXuI4R01auXOk6ggTQobfWuY4gAaS6EC96HxG/xfpVhr4OXAtsAn4P1AAFwIeADxljvmCtfezkJxljvg3cAewFFgHJwHXAb4wxn7PWPt6fjcfjTMVz5851HSHmtbW1uY4gAWTDYdcRJIBUF+JF7yPit1hvECwFFlpr13a/0xgzH/gT8LAx5pfW2v3dHptLpDGwHfg7a+3RjvsfBlYD3zbG/NZaW+nT7xAoe/bsAXQNZBEREZHhIqa7DFlrnzy5MdBx/wpgOZFv/k/+yvtTHbcPdjYGOp5TCfw3kAJ8oj/bz8rKGnjogHvkkUd45JFHXMeIafPmzXMdQQJobOEs1xEkgFQX4kXvI+K3mG4Q9KG14/bk827v6bhd6vGcP5y0zGk1NjaeQSyJdxs3bnQdQQLo+O4driNIAKkuxIveR8Rvsd5lyJMx5mzgvUAD8Eq3+zOAXKC+ezeibrZ23M44zbpvAW4BGDduHMuXLwdg2rRpZGVlsW5dZIDY6NGjKSws5JVXIptPTEykrKyMNWvWUFtbC0BJSQkHDx7s6qaTn59PSkoKGzZsoHP9M2bM6BpclJKSQmlpKRUVFV0DmufMmcPevXupqqoCoKCggFAoxKZNmwCYMGECU6dOZdWqVQCkpaUxZ84cysvLuxo0paWl7Ny5kwMHDrB3715ycnLYv38/mzdvBiA3N5fJkydTXl4OQGZmJiUlJaxatYrm5mYAysrK2LJlC9XV1QCcf/75NDc3s3Vr5E86ZcoUxo8f3zXZSnZ2NsXFxaxcubKrr+S8efPYuHEjR44cAaCoqIi6ujp27Ii8Yebl5ZGTk8OaNWsAGDVqFEVFRaxYsQJrLcYY5s+fz7p16zh6NHLyp7i4mJqaGiorK33bTydOnOCCCy4Y0v0EMHPmTBqP1nJ43+7Ifhkzjqyx49n/1noAktLSmFhwPlUb3yDcGmkfT75gFjV7dtFwrAaAsVOn09bSwtGqyDqyx00gfdRoDmyOvBklZ2QwIX8me9evoaWlld2hBKYUzebwzu001h6L/P7nFNDSeIJj+/YCMGLCJFKzRnBwa2TCpdSsbMadU8DudRVgLRjDWUUlVG/fTFNd5G88Pv88muqOc/zAvsjvP24iR1Px5fVUs+0tDjc3ATDxvAuoO3SQ+sOROs6ZkodJSODIrkgNZuSMYcTEXPZtjORKTElh0nkXsu+tN2nreC1MKizi+P4qTtQcjmQ/exq2vZ2GQ/tZvny5Xk8BPO5B5PUUDod9P+41t7RxaMfWIX09jZw0meS0DKq3vc3yzSFf9lNDa5jcmRcO2eupZk+kBjPHjMOmZLP7jcgxa7CPe+0dYzymFM3m2K7tLN8cqcGhfj111rofr6fUvAJqDh7p9376zzUtpKRn8oUiM6D9lDV2PNWb3mT55pCOe2d43BtKJt4GxhpjUoCXgIuAL1lrH+722CSgCqiy1k72eG4S0AK0WGtT+tpWQUGB7XzziBe33347AI8++qjTHLFs+fLlXHzxxb5sq2L/UdKT/GnX7z7ewFkj/LnUbkNrGyUTR/myLb/+hpVrX+cD73vvkG9HYsvv//QSebPe6cu24vF1Bf4dm/z8+wX5feSuZyIfhBdeVzTgbfn5N4xHxpjV1tqSoVi38y5DxphKY4wdwM/PTrOuEPBTIo2BxcC3zzBWv1pJmodAvBQVDfwgKfFvZN501xEkgFQX4kXvI+K3IHQZ2g40DWD5fV53djQGfgZ8FPgF8E+29+mP4x23I06x7hEnLXda4Ti8XNwNN9zgOkLMq6urY9QofQMiPbU2NriOIAHU2tgAo3Jcx5CA0fuI+M15g8BaG/U5dGNMIvC/RBoD/wvcaK3t9WndWnvCGFMF5BpjJnqMI8jvuN3Sn+129nuLJ7Nnz3YdIebt2LGDs846y3UMCZgTB/cB57mOIQFz4uA+xk7q1YNVhjm9j4jfnHcZipYxJhl4lkhj4GngBq/GQDcvd9xe5vHY+09aZtjZtm0b27Ztcx1DRERERHwS0w2CjgHEvwKuAP4H+IS1tr2Pp32/4/YeY0zX+ThjTB7wWaAZ+El/tp+S0ue445jz+OOP8/jj/ZqoWU4hLy/PdYRAuOuZdV2DzwQyxk10HUECSHUhXvQ+In5z3mUoSt8HPgAcJnL1oHuNMScvs9xau7zzP9ba14wx/wl8EXjTGPMskQnMrgVygM/1d5biUCgUbX6JQzk56g8svSVnZruOIAGkuhAveh8Rv8V6g2Bqx+0Y4N7TLLe8+3+stXcYY94EbiMyp0A7sAZ42Fr72/5uvKFBgwSltzVr1vh2uTiJHUd3bIZz1Fdcejq6YzMjfLrsqMQOvY+I32K6QWCtvTiK5z4FPDV4aUREREREYk9MjyFwLTExpttTMkR0qTjxkpyZ5TqCBJDqQrzofUT8pk+0UUhLS3MdYdDdfPPNriPEPE0oI15G5uX3vZAMO6oL8aL3EfGbzhBEoa6uznWEQVdYWEhhYaHrGDFtxYoVriNIAFVvXOs6ggSQ6kK86H1E/KYGgfSwceNGNm7c6DpGTOs9QbYIoLoQL6oL8RDU95Flmw7y9v5a1u89zsd/WM6yTQddR5JBogaB9LBo0SIWLVrkOkZM87j0rQioLsSL6kI8BPF9ZNmmgzz2x620hiONleraZh7741Y1CuKEGgRRyMrSYDDpbf78+a4jSACNK5zlOoIEkOpCvATxfeSplZU0t/Wc+7W5rZ2nVla6CSSDSg2CKDQ2NrqOIAG0bp1m55XejlVudR1BAkh1IV78fB9JSwrR0NrW58+h2mbP5x+qbe7X8xta20hL0oSuQaWrDEWhra3NdQQJoKNHj7qOIAHUUh9/FyGQ6KkuxIuf7yOFY/o3W/akkWlUHev9ReikkWmUTNRlUmOdzhCIiIiIyGndeWlBr2/405JC3HlpgaNEMph0hiAK6enpriMMuttuu811hJhXXFzsOoJznVeiaA1bPv7Dcm4qy2PBzPGuYzk1apreNKU31YV4CeL7yJWzcgH40rNv0hJuJ3dkGndeWtB1v8Q2NQiiEA6HXUcYdNOnT3cdIebV1NSQnd2/U7Dx6FRXogCGdaOgpb7WdQQJoJb6WhgxwnUMCZigvo9cOSuXn7++G4DFt5Y6TiODSV2GotDc7D3AJpatXr2a1atXu44R0yorK11HcEpXovB2onq/6wgSQKoL8TLc30fEfzpDID389Kc/BWD27NmOk0jQJCYYGlr7Hkjf15Uo+kNXohAREfGPGgRRSElJcR1BAmjatGmuIwyJkalJ/bqShK5E4S1j/CTXESSAVBfiJV7fRyS41GUoCqGQvsWU3ob7hHW6EoW3pLT4uwiBRE91IV6G+/uI+E8Ngig0NDS4jiABNNwnJrtyVi7fvOoCkkORw0vuyDS+edUFw/5KFMcqt7mOIAGkuhAvw/19RPynLkMiMuh0JQoREZHYoQZBFBIT4+/Pd8cdd7iOEPNGjx7tOoIEUHKWLi0pvakuxIveR8Rv8feJ1kdpaWmuIwy6KVOmuI4Q8woLC11HkAAacZYGCUpvqgvxovcR8ZvGEEShrq7OdYRB99prr/Haa6+5jhHTXnnlFdcRJIAObVzrOoIEkOpCvOh9RPymMwTSwy9+8QsA5s6d6ziJiIiIiPhBZwiiYIxxHUECKB7Hlkj0jC5TLB5UF+JF7yPiN1VcFDIzM11HkAAqKytzHUECaOx5Ra4jSACpLsRLkN9HdOW4+KQzBFHQPATiZc2aNa4jSAAd3bHZdQQJINWFeNH7iPhNDYIohMNh1xEkgGpra11HkABqbTjhOoIEkOpCvOh9RPymLkPSw5e//GXXEURERETER2oQRCEjI8N1hEE3btw41xFiXklJiesIEkA5089zHUECSHUhXvQ+In5Tl6EotLa2uo4w6JYtW8ayZctcx4hpBw8edB1BAqjpWI3rCBJAqgvxovcR8ZsaBFFoaWlxHWHQPf/88zz//POuY8S0PXv2uI4gAdRwWG/w0pvqQrzofUT8pi5DIjIkdGk6ERGR2KAzBFFITU11HUECKD8/33UECaDMiZNdR5AAUl2IF72PiN/UIIiCZioWLykpKa4jSACFkpJdR5AAUl2IF72PiN/UIIhCY2Oj6wgSQBs2bHAdQQLo+O4driNIAKkuxIveR8RvGkMgPXzta19zHUFERE7jrmfWAbDwuiLHSUQkXqhBEIWkpCTXEQbdiBEjXEeIeZrLQbykjBjlOoIEkOpCvOh9RPymLkNRiMc+fkuXLmXp0qWuY8S0GTNmuI4gAZQ16SzXESSAVBfiRe8j4jc1CKJQX1/vOsKgU4MgeitXrnQdQQLo8FvrXEeQAFJdiBe9j4jf1CAQERERERnG1CCIQkKC/nzSWzx2JZPoJcThmCOJnupCvOh9RPymT7RRyMjIcB1BAqi0VDP0Sm9jCi5wHUECSHUhXvQ+In5TgyAKDQ0NriNIAFVUVLiOIAFUs+0t1xEkgFQX4kXvI+I3XXY0CuFw2HWEQbdw4ULXEWJePA42l+i1NWkiQ+lNdSFe9D4iflODQHpQv8X4p0mNREREpDt1GYpCPI4heP7553n++eddx4hpc+bMcR1BAignf6brCBJAqgvxovcR8ZsaBFFobW11HWHQLVu2jGXLlrmOEdP27t3rOoIEUGPNIdcRJIBUF+JF7yPiNzUIotDS0uI6ggRQVVWV6wgSQI1H9MFPelNdiBe9j4jf1CAQERERERnG4q5BYIz5H2OM7fiZfprlbjLGvG6MqTfGHDfGLDfG/MNAtpWamhp9YIk7BQUFriNIAGXlnu06ggSQ6kK86H1E/BZXDQJjzAeBTwKnvV6XMebbwJPARGAR8DPgAuA3xpjbBrC9M84q8SsUCrmOIAFkEnS8kN5UF+JF7yPit7i57KgxZiyRD/eLgQnA/FMsNxe4A9gO/J219mjH/Q8Dq4FvG2N+a62t7GubjY3xd/3oRx991HWEmLdp0ybGjRvnOoYETO2eSjj3HNcxJGBq91SSM0bHC+lJ7yPit3g6Q/DDjtvP9rHcpzpuH+xsDAB0NAD+G0gBPjHo6URERKK0bNNB3t5fy/q9x/n4D8tZtumg60giEgfiokFgjPk4cCXwKWvtkT4Wf0/H7VKPx/5w0jKnlZSU1J/FYsrixYtZvHix6xgxbcKECa4jSACljhrtOoIE0EDqYtmmgzz2x620hi0A1bXNPPbHrWoUxCG9j4jfYr5BYIw5G/gu8DNr7ZI+ls0AcoF6a+1+j0W2dtzO6M+243FW31WrVrFq1SrXMWLa1KlTXUeQAMoYN9F1BAmggdTFUysraW5r73Ffc1s7T62sHORU4preR8RvMT2GwBiTADxFZBDx5/vxlBEdt8dP8Xjn/SNPs81bgFsAxo0bx/LlywGYNm0aWVlZrFu3DoDRo0dTWFjIK6+8AkBiYiJlZWWsWbOG2tpaAEpKSjh48CB79uwBID8/n5SUFDZs2EDn+mfMmMHKlSuBSAOktLSUiooK6usj46bnzJnD3r17u65ZXFBQQCgUYtOmTUDkW4apU6d2fchPS0tjzpw5lJeXd42BKC0tZefOnRw4cIC9e/eSk5PD/v372bx5MwC5ublMnjyZ8vJyADIzMykpKWHVqlU0NzcDUFZWxpYtW6iurgbg/PPPp7m5ma1bI22sKVOmMH78eCoqKgDIzs6muLiYlStX0tbWBsC8efPYuHEjR45ETvIUFRVRV1fHjh07AMjLyyMnJ4c1a9YAMGrUKIqKilixYgXWWowxzJ8/n3Xr1nH0aKQ3WHFxMTU1NVRWVvq2n06cOMHll18+pPsJYObMmTQereXwvt2R/TJmHFljx7P/rfUAJKWlMbHgfKo2vkG4YxK9yRfMorWpkXBbG7vf+Ctjp06nraWFo1WRdWSPm0D6qNEc2LwRgOSMDCbkz2Tv+jW0tbWxfHMobvZT5+upZttbHG5uAmDieRdQd+gg9YcjdZwzJQ+TkMCRXZHfLSNnDCMm5rJvYyRXYkoKk867kH1vvUlbx2thUmERx/dXcaLmcCT72dOw7e0c3LKR5Tuy9HoK4HEPIq+ncDjs+3GvsTVMXdYIWuoibz8j86bT2tjAiYP7IjU3biLJmdkc3bGZ6trIdk92qLaZfVvfoqW+LrIvpxXQUl/LierI914Z4yeRlJZO7a7tLN+c4Mt+amgNkzvzwiF7PdXsidRg5phx2JRsdr8ROWad6rhXs2cXDcdqAAZ03GsPhyP7smg2x3ZtZ/nmSA0O9eupvr6es88+W68nHfd67KehZKy1Q7qBPgMYUwkM5Lpr/89a+08dz70D+DZwubX2993WuZzIoOJ8a+22bvdPAqqAKmvtZI8sSUAL0Gyt7fOaogUFBbaz2OPF7bffDmhwcTSWL1/OxRdf7Mu2KvYfJT1pYO36u56JHMQWXlc0oOc1tLZRMnHUgJ4TC87kb3gmKte+zgfe994h347EloEcLy566GWqjvW+mEXuyDT+/O/96unqG79eVwC7jzdw1oj0Id+On8dAP99HJHYYY1Zba0uGYt1BOEOwHWgawPL7AIwx+cCDwE+6Nwb60HkGYMQpHu/rDEIPCQkx3+NKhkBaWprrCBJAoeT462Io0RvI8eLOSwu4+7n1NLaG//b8pBB3Xqpr1scbvY+I35w3CKy1Z/qVWSEdVwQyxpzqqkBbO+YK+LC1dom19oQxpgrINcZM9BhHkN9xu6U/ATIyMs4kd6DF47gIvw31aT2JTaNnFLqOIAE0kOPFlbNyAfjSs2/SEm4nd2Qad15a0HW/xA+9j4jfnDcIolAJ/M8pHrucyFwEvwRqO5bt9DJwA3AZ8JOTnvf+bsv06cSJE/1LGkMWLlzoOkLMKy8v18FcejmyZSNMLHMdQwJmoMeLK2fl8vPXI33fF99aOlSxxDG9j4jfYrZBYK19A/gXr8c6xhBMAL7cfQxBh+8TaRDcY4xZ0m1isjwicxg007uh4Km9vb3vhWTYiccJ6yR64RbvAaEyvOl4IV5UF+K3YdcJ3lr7GvCfwDnAm8aY7xhj/huoAHKAf+vPLMXx6umnn+bpp592HUOGiCY1EhERkZMNuwYBgLX2DuDjwAEilxC9EdgIfNBa+3h/15OZmTkk+Vxas2ZN1+W45MyUlgbzNL4mNXJrdMH5riNIAAX1eCFuqS7Eb3HZILDWXmytNR7dhbov85S19u+stRnW2ixr7Xxr7W8Hsp3Oa+eKdLdz507XETxpUiO3Oq8JL9JdUI8X4pbqQvwWlw0Cv7R2THoi0l3nxCx+SEsK0dDa1q+fQ6eZ1Kg/z09LCvn2ewXZXc+s65rLYSCajh4ZgjQS6/w8XkjsUF2I32J2ULGIQOGY7H4vO2lkmuekRpNGpsXlhGMiIiLSPzpDEIV4nDgkOzub7Oz+f8iU3mbOnOk6gqc7Ly3o9S2/JjXyT/aUPNcRJICCerwQt1QX4jedIYiCtdZ1hEH3wAMPuI4Q88LhcN8LOaBJjdyy7fF3vJDoBfV44bfObngLrytynCQYVBfiN50hiEJTU5PrCBJAmzdvdh3hlK6clcuss0YyZ2oOf/7396gx4KO6ql2uI0gABfl4Ie6oLsRvahBID4sWLWLRokWuY4iIiIiIT9RlKArJycmuIwy6jRs3uo4Q83Jz9a279JY2eqzrCBJAOl6IF9WF+E1nCKKQlJTkOoIE0OTJk11HkABKy1GDQHrT8UK8qC7Eb2oQROHEiROuI0gAlZeXu44gAVSzdZPrCBJAOl6IF9WF+E0NAhERERGRYUxjCKIQCsXfzK1jx6pbQ7QyMzNdR5AASkyNv3lLJHo6XogX1YX4TQ2CKKSnp7uOMOjuuece1xFiXklJiesIEkA5089zHUEC6EyOF4tvLR2CJBIkeh8Rv6nLUBQ0hkC8rFq1ynUECaDDm9e7jiABpOOFeFFdiN/UIIhCe3u76wiD7vHHH+fxxx93HSOmNTc3u44gAdTe2uo6ggSQjhfiRXUhflOXIelh27ZtriOIiIiIiI90hiAKGvQjXsrKylxHkAAac16R6wgSQDpeiBfVhfhNDYIo6JSeeNmyZYvrCBJAdft2u44gAaTjhXhRXYjf1CCIQqv6BIuH6upq1xEkgJqPH3UdQQJIxwvxoroQv2kMgfQwZcoU1xFERERExEdqEEQhLS3+Jhq64447XEeIeeeff77rCDJElm06yNv7a2kNWz7+w3JuKstjwczx/XruiLOmDXE6iUU6XogX1YX4TV2GomCtdR1BAkhjS+LTsk0HeeyPW2kNR1731bXNPPbHrSzbdLBfzw+3tgxlPIlROl6IF9WF+E0Ngig0NTW5jjDoHnnkER555BHXMWLa1q1bXUc4rcW3lmqm0zPw1MpKmtt6zj3S3NbOUysr+/X8+v17hyCVxLqgHy/EDdWF+E1dhqSHPXv2uI4g4qu0pBANrW19Lneo1vsbu0O1zf16foIxA84mIiLiBzUIopCcnOw6ggSQBmbHlsIx2f1abtLINKqONXreXzJxVJ/P395w9oCzSfzT8SK6sTnxSnUhflOXoSgkJSW5jiABNH788H4ji1d3XlpAWlKox31pSSHuvLSgX89XXYiX4V4X0Y7NiVfDvS7Ef2oQROHEiROuI0gAVVRUuI4gQ+DKWbl886oLSA5FDpu5I9P45lUXcOWs3H49X3UhXoZ7XUQ7NideDfe6EP+py5D0MH36dNcRRALrylm5/Pz1yIzDGpgtcmp+jc0BSEzQ+ByRaKlBEIVQKNT3QjHmtttucx0h5mVn969PugwvqgvxEq914dfYHICK/QObBfyuZ9YBsPC6ogE9z0/xWhcSXOoyFIX09HTXESSAiouLXUeQAFJdiJfhXhfRjs2JV8O9LsR/ahBEob6+3nWEQffggw/y4IMPuo4R01auXOk6ggSQ6kK8DPe6iHZsTrwa7nUh/lOXoSjE40zFhw4dch0h5rW19a/fqwwvqgvxorrQ2Bwvqgvxm84QiIiIiIgMY2oQRCErK8t1BAmgefPmuY4gAaS6EC+qC/GiuhC/qUEQhcbG3ldGENm4caPrCBJAqgvxoroQL6oL8ZvGEEQhHvv4FRYWuo4Q844cOeI6ggSQ6kK8qC7Ei+pC/KYGgfRw8803u44gIiIiIj5Sl6EoaB4C8VJUFNzJbsQd1YV4UV2IF9WF+E0NgiiEw2HXEQbdvffey7333us6Rkyrq6tzHUECSHUhXlQX4kV1IX5TgyAKzc3NriMMutraWmpra13HiGk7duxwHUECSHUhXlQX4kV1IX5Tg0BEREREZBhTgyAKKSkpriNIAOXl5bmOIAGkuhAvqgvxoroQv6lBEIVQKOQ6ggRQTk6O6wgSQKoL8aK6EC+qC/GbGgRRaGhocB1h0BUXF1NcXOw6Rkxbs2aN6wgSQKoL8aK6EC+qC/Gb5iGQHm688UbXEURERETERzpDEIXERLWnpLdRo0a5jiABpLoQL6oL8aK6EL/pE20U0tLSXEcYdHfddRcACxcudJwkdmlCmfi2+NbSM3qe6kK8qC7Ei+pC/KYzBFGIx4lDmpub43J+BT+tWLHCdQQJINWFeFFdiBfVhfhNDQKRQWatdR1BAkh1IV5UF+JFdSF+i4sGgYm4yRiz3BhTY4xpNMbsNMb8whgz4xTPuckY87oxpt4Yc7zjuf/gd3aJP8YY1xEkgFQX4kV1EbH41tIz7o43EMs2HeTt/bWs33ucj/+wnGWbDg75Ns+E6kL8FvMNAmNMKvBr4ElgAvC/wKPAK0AJ0KtBYIz5dsfyE4FFwM+AC4DfGGNu6++2s7Kyosou8Wn+/PmuI0gAqS7Ei+rCP8s2HeSxP26lNRz59r26tpnH/rg1kI0C1YX4LeYbBMAjwD8A3wRmWmtvs9beba29yVo7DXih+8LGmLnAHcB24EJr7b9aaz8LzAZqgG8bY/L6s+HGxsZB/DWCobS0lNLSof+WJp6tW7fOdQQJINWFeFFd+OeplZU0t7X3uK+5rZ2nVla6CXQaqgvxW0xfZcgYcw7wKeCvwD3Wo9Odtbb1pLs+1XH7oLX2aLflKo0x/w18FfgEcF9f229razvT6IF17bXXuo4Q844ePdr3QjLsqC7Ei+oiemlJIRpa+34/PlTrfcGMQ7XN/Xp+WlJowNnOlOpC/BbTDQLgY0TOcjwFZBtjPghMAY4AL1trt3k85z0dt0s9HvsDkQbBe+hHg0BERETcKhyT3a/lJo1Mo+pY7zP7k0amUTJR1/2X4S3Wuwz9XcftCCJdgH4KfAP4AbDFGPPfxpiuJr0xJgPIBeqttfs91re149ZzIPLJ0tPTzzR3YN1+++3cfvvtrmPEtOLiYtcRJIBUF+JFdeGfOy8t6PUtf1pSiDsvLXCU6NRUF+K3WD9DMK7j9gHgReDfgErgnUQaBZ8BDgH3dyw3ouP2+CnW13n/yFNt0BhzC3ALwIQJE1i+fDkA06ZNIysrq6vf3+jRoyksLOSVV14BIrMal5WVsWbNGmprawEoKSnh4MGD7NmzB4D8/HxSUlLYsGFD5JcbN44ZM2awcuVKAFJSUigtLaWiooL6+noA5syZw969e6mqqgKgoKCAUCjEpk2b6Mw4depUVq1aBUQmU5szZw7l5eVdYyBKS0vZuXMnBw4cYO/eveTk5LB//342b94MQG5uLpMnT6a8vByAzMxMSkpKWLVqVdecBWVlZWzZsoXq6moAzj//fJqbm9m6NdLGmjJlCuPHj6eiogKA7OxsiouLWblyZVfXq3nz5rFx40aOHDkCRCZmqaurY8eOHQDk5eWRk5PDmjVrgMhMjkVFRaxYsQJrLcYY5s+fz7p167pOtxYXF1NTU0NlZaVv+6m9vZ33vOc9Q7qfAGbOnEk4HNZ+CvDrqft+Wr9+PcnJydpPAd9Pfr+ezj77bHbt2qX95MN+Gnm8mhvOC/GTje20hi2jUw0fmRHiguwm6uvrA/V6amlpYeLEicNyP+m4d+r9NJSM62vdGmMqgbMH8JT/Z639p47nvk7kLMFeYIa1tutcoDGmCFgDnADGWGtbjDGTgCqgylo72SNLEtACNFtrU/sKUlBQYDuLPV50nh149NFHneaIZcuXL+fiiy92HUMCRnUhXlQX/rv2B5EPtn5c5vRMqS7EizFmtbW2ZCjWHYQzBNuBpgEsv6/bvztH3Szt3hgAsNauM8bsBM4BzgPW8bczACPw1tcZBBERERGRuOK8QWCtfW8UT98MXAIcO8XjnQ2GtI5tnTDGVAG5xpiJHuMI8jtut/Rn4ykpKQNLK8PCtGnTXEeQAFJdiBfVhXhRXYjfYn1Q8Usdt+ef/IAxJoW/fcCv7PbQyx23l3ms7/0nLXNaoZB/lyDzy4IFC1iwYIHrGDFNE9aJF9WFeFFdiBfVhfgt1hsEfwB2AJcaY9530mNfJdIFaIW19kC3+7/fcXuPMabrOmMdk5F9FmgGftKfjTc0NJxh7OC64ooruOKKK1zHiGmaUEa8qC7Ei+pCvKguxG/OuwxFo2Og8E3AH4E/GGN+BewiMtB4HpErDN1y0nNeM8b8J/BF4E1jzLNAMnAtkAN8zlpb6d9vESydo/3VHUpERERkeIjpBgGAtXalMaaEyERiC4hcMvQg8EPg69bavR7PucMY8yZwG5EGQzuRKxI9bK39bX+3nZgY83++Xu666y5AVxmKxujRo11HkABSXYgX1YV4UV2I3+LiE621dhORb/gH8pyniMxwfMbS0tKiebrEqcLCQtcRJIBUF+JFdSFeVBfit1gfQ+BUXV2d6wgSQJ2Tk4h0p7oQL6oL8aK6EL+pQSAiIiIiMoypQRAFY4zrCBJA8Ti2RKKnuhAvqgvxoroQv6niopCZmek6wqC77DKv6RlkIMrKylxHkABSXYgX1YV4UV2I33SGIArxOA/BZZddpkZBlNasWeM6ggSQ6kK8qC7Ei+pC/KYzBFEIh8OuIwy648ePAzBixAjHSWJXbW2t6wgSQKoL8RLkumhubqampoa6urq4er/77KzIFQLfeustx0lOzRgT6HwSvVAoRFZWFjk5OYGY+0kNAunhvvvuAzQPgYjIcNbc3Mzu3bsZNWoUeXl5JCUlxc24ueRD9QCcMza43X7r6urIyspyHUOGiLWW1tZWamtr2b17N2eddZbzRoG6DEUhIyPDdQQJoJKSEtcRJIBUF+IlqHVRU1PDqFGjGDNmDMnJyXHTGIgV6enpriPIEDLGkJyczJgxYxg1ahQ1NTWuI6lBEI3W1lbXESSADh486DqCBJDqQrwEtS7q6urIzs52HWPY0ueL4SM7OzsQ81qpQRCFlpYW1xEkgPbs2eM6ggSQ6kK8BLUuwuEwSUlJrmMMW2oQDB9JSUmBGKOjBoGIiIj0om5CIkMvKK8zDSqOQmpqqusIg+6KK65wHSHm5efnu44gAaS6EC+qC/HieoCpDD9qEEQhKK26wbRgwQLXEWKeDuTiRXUhXlQX/gvy1YU6xePnCwk2dRmKQmNjo+sIg666uprq6mrXMWLahg0bXEeQAFJdiBfVhXhpampyHUGGGZ0hkB6+8Y1vAJqHQERERGS40BmCKOgKDOJl3LhxriNIAKkuxIvqQrwkJur7WvGXGgRRUN9P8TJjxgzXESSAVBfiZbjVRWVlJcYYPv7xjwdu24899hgzZ84kLS0NYwyPPvqos7zxeNESCTY1CKJQX1/vOoIE0MqVK11HkABSXYiXeKiLcDjMokWLmD9/Pjk5OSQlJTFu3DguvPBC/uVf/oVf//rXriP26ZlnnuELX/gCqamp3H777dx33328613vcpZHny/g2Wef5XOf+xzvfve7yc7OxhjDP/3TPzlfV7zSOSkRERE5I+FwmH/4h39g6dKljBw5kssvv5zJkydTU1PD9u3b+d///V/efvttPvShDwGQm5vLW2+9xYgRI3zPerpt//a3v+26nTRpUtf9ra2tzvIOd//xH//BunXryMzMZPLkybz99tuBWFe8UoMgCgkJ8XeC5ZprrnEdIeapK5l4UV2Il1ivi5///OcsXbqUoqIiVqxY0euDc0NDA+Xl5V3/T0pK4txzz/U7Zp/b3rdvH0CPxkBfzxlKuuwofOc732Hy5MlMnz6dFStWRHVZ9MFcV7yKv0+0PsrIyHAdYdDNnTuXuXPnuo4R00pLS11HkABSXYiXWK+L1157DYCPf/zjnt+ip6en9/jwdbo++dZavvvd7zJz5kxSU1PJzc3ltttu4/jx4+Tl5ZGXl+e5nsrKSq677jrGjBlDamoqJSUlXd/4d+e17fvvvx9jDMuWLQMiH8Q7f/rK+/rrr3PttdeSm5tLSkoKEydO5JJLLuEXv/hFj+WefPJJPvKRjzBt2jTS0tLIzs7moosu4mc/+5nn37SyspKsrKwB/W4DyQNQXl7O1VdfzYQJE0hOTmbKlCnceuutXQ2jIFiwYAH5+fmD0jgazHVBpEvXAw88wKxZs8jKyupRN91/Yuky7jpDEIWGhgbXEQbdnj17AJgyZYrjJLGroqKCkpIS1zEkYFQX4iXW62L06NEAbNmyJep1ffazn+WJJ55g0qRJ3HLLLSQnJ/PrX/+a119/ndbWVs8r++3atYt3vvOdTJs2jRtuuIGamhoWL17MFVdcwYsvvtjnN8EXX3wxEPnQvmvXLu67775+ZV20aBGf/vSnCYVCfOhDHyI/P5/q6moqKir43ve+1+Ns+6c//WlmzpzJvHnzmDhxIkeOHOH3v/89N9xwA5s3b+brX/+65zYG8rsNJM9PfvITbr75ZlJSUvjQhz7ElClT2Lp1Kz/60Y/4zW9+w1/+8hfOOuusfv0dhqPq6mrmz5/P22+/zYUXXsinPvUpmpub+eUvf8mBAwdISkrirLPOYsyYMTF1FTE1CKIQDoddRxh0jzzyCKB5CKKhwWDiRXUhXmK9Lq666ioWLlzI97//ferq6vjwhz/M7NmzOfvsswe0nldffZUnnniCGTNmUF5ezsiRI4HI3Dh///d/z759+zzXuXz5cu6///4eH+Svv/56LrvsMh5++OF+NQguvvhili9fzq5du7j//vv7zLpp0yY+85nPkJ2dzauvvkphYWGPx/fu3dvj/xs2bOCcc87pcV9LSwvvf//7eeihh/jUpz5Fbm7uGf9uA8mzZcsWbr31VvLy8lixYkWP7b788su8733v4wtf+AK/+tWv+vw7QOSzwrFjx/q1LMA73vEOrrzyyn4vH0TXX389b7/9Nl/60pd46KGHus463HnnneTn5xMOh/nLX/7CmDFjHCcdGDUIRERE5IzMmjWLn/3sZ3zhC1/gZz/7WVc3mJycHObNm8cnP/lJPvjBD/a5nqeeegqAe+65p6sxAJCcnMw3v/lNysrKPJ939tln85WvfKXHfZdeeilnnXUWr7/++hn+Vqf3xBNP0NbWxle/+tVeH74BJk+e3OP/JzcGIPJ7ffazn+Xll1/mpZde4sYbb+y1TH9/t4HkeeKJJ2htbeW73/1ur0bIe97zHj70oQ/xm9/8hrq6OrKysk7xF/ibRx99lF27dvW5XKebbropphsEf/rTn3jppZe46KKL+OY3v9mjC9KUKVN497vfzYsvvsgbb7zB3//93ztMOnBqEEQhHscQSPTmzJnjOoIEkOpCvMRDXVxzzTV8+MMfZtmyZaxcuZK1a9eycuVKlixZwpIlS7jxxht58sknT9t/e+3atQCeH/zf9a53nXKirne84x2EQqFe90+ZMoVVq1ad4W90en/5y18AeP/739+v5Xfv3s3ChQt56aWX2L17N42NjT0er6qq8nxef3+3geTpfN6KFSv461//2uvx6upqwuEwW7ZsYfbs2X2ur7Kyss9l4klng/df//VfPS8s0zmOpr293ddcg0ENgii0tra6jiABtHfvXvLz813HkIBRXYiXeKmLpKQkLrnkEi655BIg0qX2//7v//jkJz/J008/zYc//OHTfjN8/PhxAMaPH9/rsVAo1DVW4WTdzyZ0l5iYOGQfyjq7yHh18znZjh07eOc738nRo0d597vfzSWXXMKIESMIhUJUVlby1FNP0dzc7Pnc/v5uA8lz5MgRAB5++OHTLhfrXdmGyquvvkpCQgKXXXaZ5+Od3bOmT5/uZ6xBoQZBFFpaWlxHkACqqqqKizd4GVyqC/ESr3URCoW45pprWL9+Pf/xH//Byy+/fNoGQXZ2NgAHDx5k2rRpPR4Lh8McOXKkXx94/dD5Qb2qqqrPS5L+53/+J0eOHOEnP/lJrysV/fznP+/qKuVXns5vsI8fP971N4/GcBpD0N7ezq5duxg3bpxnD5GDBw/y17/+lalTp/aq4VigBoH0cMMNN7iOICIicaKzH7q19rTLzZo1q6ur0ckfpv7yl7/Q1tY2ZBkH6l3vehcVFRX84Q9/6PMD+LZt2wD4yEc+0uuxFStW+J7nXe96F6tXr+bVV1/l8ssvj3rbw2kMQWeXt7q6Otrb23t1GfrWt75Fe3s7t956q4t4UdM8BFFITU11HWHQzZ49u1/9BuXUCgoKXEeQAFJdiJdYr4uf//zn/OlPf/LsnnPgwAEWLVoEwLx58067ns5BtQ8++GBX9yGInIn/8pe/PIiJo/fpT3+axMREvv71r7Np06Zej3e/qk/n3AnLly/vscwLL7zAj370I9/z3HbbbSQlJfGv//qvnpeKbWlp4dVXX+33tisrK7HW9vvnySefPKPfsb+2b9/O22+/PSRduo0xFBUVceLECX7+85/3eOzZZ5/l0Ucf5dxzz+ULX/jCoG/bDzpDEIV4nEmw89uMWOz/FhReg8BEVBfiJdbrory8nO9+97tMmDCBsrIypk6dCsDOnTv53e9+R2NjI1dccQVXX331adczf/58brnlFn74wx9SWFjIRz7yEZKSkvjNb37DiBEjmDRpkucgThdmzpzJ9773PT71qU8xa9YsrrjiCvLz8zly5AgVFRVkZWV1TXT2mc98hp/85Cd89KMf5SMf+Qi5ubls2LCBpUuXcs0117B48WJf85x77rn8+Mc/5pOf/CSFhYVcdtllzJgxg9bWVnbv3s2rr77K2LFjefvtt6POFa3OQekQaVxCZFB0Z9erMWPG8O1vf7vHc9773veya9cudu7c2WMiuzNZl5d7772Xq666ik984hMsXbqUKVOm8Ne//pUXX3yR/Px8fv/738fsl8VqEETh5CsFxIPHH38c0DwE0di0aVNMTUYi/lBdiJdYr4s77riD/Px8XnzxRd58801eeOEFmpqaGD16NBdffDHXX389119/fb++QHviiSc499xz+cEPfsD3v/99Ro8ezYc//GG+8Y1vMHnyZM/Ld7py8803c/755/Ptb3+b5cuXs2TJEsaMGcOFF17Iv/zLv3Qtd+GFF7Js2TK+8pWv8Pvf/562tjaKiop47rnnGDly5KA0CAaSB+Cf/umfKCoq4pFHHmHZsmX88Y9/JCMjg0mTJnH11Vdz7bXXDkqmaL3xxhu9xljs2LGDHTt2AJHLsvbnQ/xgruvKK6/kV7/6FQsXLuS5557DWsuMGTN48MEH+fznP09mZma/8gSR6atfn5xaQUGB3bx5s+sYg+r2228H1CCIxvLly7tmvxTppLoQL0Gti7feeovzzjvPdQwAtm7dyowZM7juuut6ddWIV/2dB0DiQ39fb8aY1dbaIZnaPBjn32KU1zTqIhMmTHAdQQJIdSFeVBd/c+DAgV5jERoaGrq+qPrwhz/sIJUbp5p3QWSoqOKikJKS4jqCBFBnH1qR7lQX4kV18TePPvooP//5z7n44ouZOHEiBw4c4KWXXmLv3r28//3v56Mf/ajriL7R5wvxm84QREETd4iXoZodU2Kb6kK8qC7+5n3vex8zZ87kj3/8I9/5znf45S9/yZgxY/jWt77F888/H5cX8jiVEydOuI4gw4zOEEgPN998s+sIIiIyDL33ve/lve99r+sYIsOSGgRRCMol0AZTYWGh6wgxLy0tzXUECSDVhXhRXYiX4XQ2RIIh/j7R+shr6upYt3HjRjZu3Og6RkybM2eO6wgSQKoL8aK6EC+xfPlKiU1qEEQhHvv4LVq0qGtmSTkz5eXlriNIAKkuxIvqQrxojKL4TQ2CKHhN1S4SjxPWSfRUF+JFdSFeNEeU+E0NAhERERGRYUwNgiioj594KS0tdR1BAkh1IV5UF+IlHscoSrCpQRCF5uZm1xEkgHbu3Ok6ggSQ6kK8qC7Eiz5fiN/UIIhCa2ur6wiD7rbbbuO2225zHSOmHThwwHUECSDVhXhRXYiXtrY21xFkmNE8BNLD9OnTXUcQEZFh6tofRGZuXnyrulKJ+ElnCKIQjxPKrF69mtWrV7uOEdNmzpzpOoIEkOpCvKguxEtqaqrrCDLM6AxBFOLxsmA//elPAZg9e7bjJLErHA67jiABpLoQL6oL8RKPny8k2HSGIApNTU2uI0gAbd682XUECSDVhXhRXYgXDSoWv8V8g8AYk2KM+awx5nVjzGFjTL0x5i1jzGPGmLNP87ybOp5Tb4w5boxZboz5Bz+zi4iISGwwxvT5s3z5ctcxZRBcfPHFGGNcx/BVTHcZMsYkAi8BFwFvAz8HmoG/Az4H3GiMmWut3XTS874N3AHsBRYBycB1wG+MMZ+z1j7en+0nJycP1q8icSQ3N9d1BAkg1YV4UV3Envvuu++Uj+Xl5Q3KNpKSkgZlPSL9FdMNAuDDRBoDLwGXWGvbOx8wxnwNuBf4N+CT3e6fS6QxsB34O2vt0Y77HwZWA982xvzWWlvZ18b1ghUvkydPdh1BAkh1IV5UF7Hn/vvvH/Jt6AtH8Vusdxma1nH7u+6NgQ7Pd9yOPen+T3XcPtjZGADoaAD8N5ACfKI/Gz9x4sSAwsaCO+64gzvuuMN1jJhWXl7uOoIEkOpCvKgu/mbJ2irW7j5G+c4aLnroZZasrXId6Yzt3LmTkSNHkpOTw65du3o8duLECc477zxCoRArVqzo8djbb7/NJz/5SaZOnUpKSgrjxo3j3e9+N0888USvbbz99tt8/OMfZ8qUKaSkpDB+/Hiuv/56z3EpBw8e5N/+7d8oKCggIyODkSNHUlBQwMc//nF27NjRtZy1lqeeeoq5c+cyduxYUlNTmTJlCpdeeimLFy/u9+8fDof5/ve/z0UXXcSIESNIS0tj+vTp/Mu//Atbt27tsezx48e5++67KSgoIDU1lVGjRnHppZfy4osv9lrvk08+iTGGJ5980nO7xhguvvjiHvfdf//9Xd25nn32Wd75zneSnp5OTk4O1113HVVVf6uzyspKjDFd+6V7d7Du633zzTf52Mc+Rl5eHikpKYwdO5bi4mJuv/32mJ2jKtbPEGzsuH2/Mea7JzUKOscDnFxR7+m4Xeqxvj8AX+1Y5tTnBOPYlClTXEcQEZFhZsnaKu5+bj0t4cjbeNWxRu5+bj0AV86KvW5VU6dO5Uc/+hEf/ehH+djHPsYrr7xCYmLkI9dnPvMZ3n77be6//37mz5/f9Zzf/e53fPSjH6W5uZm///u/5/rrr+fYsWOsW7eOb33rW3z605/uWnbp0qVcddVVtLa28sEPfpDp06ezd+9ennvuOX73u9+xbNkyiouLAWhoaOCiiy5i+/btvO997+ODH/wg1lp27drF888/z9VXX820aZHvV++55x6++c1vMnXqVK655hpGjBjB/v37+etf/8ovf/lLrr322j5/95aWFi6//HJefPFFpkyZwvXXX092djaVlZX86le/oqysjPz8fACOHTvGRRddxKZNm/i7v/s7br/9dg4fPswvfvELLrnkEp544gluvfXWQdkn3/ve9/j1r3/Nhz70IebPn095eTmLFy9m3bp1vPHGG6SkpDBy5Ejuu+8+nnzySXbt2tWje1hnd7A333yTOXPmYIzhQx/6EFOnTqW2tpZt27bxve99j//4j/+IyR4ksd4g+B3wHHAVsN4Y8yLQAswGyoD/ArrGAxhjMoBcoN5au99jfZ3N1hmn2qAx5hbgFoDx48d3DSCaNm0aWVlZrFu3DoDRo0dTWFjIK6+8AkBiYiJlZWWsWbOG2tpaAEpKSjh48CB79uwBID8/n5SUFDZs2ADAuHHjmDFjBitXrgQgJSWF0tJSKioqqK+vB2DOnDns3bu3q4VbUFBAKBRi06bIsIkJEyYwdepUVq2KTPaSlpbGnDlzKC8vp7GxEYDS0lJ27tzJgQMH2LBhA1OnTqW4uLjrW4bc3FwmT57c9U1WZmYmJSUlrFq1qutKCGVlZWzZsoXq6moAzj//fJqbm7u+CZgyZQrjx4+noqICgOzsbIqLi1m5cmXXjIzz5s1j48aNHDlyBICioiLq6uq6vr3Iy8sjJyeHNWvWADBq1CiKiopYsWIF1lqMMcyfP59169Zx9Gjk5E9xcTE1NTVUVlb6tp86rz41lPsJItcvD4fD2k8Bfj11308NDQ0sX75c+yng+8nv11NGRgbr168P3H4aO3YsTU1NXd92pqSkYIzpOr4lJiaSmpratU+MMWRmZnLixAna29u7freWlpbTriMlJYUTJ06w8A9v0dja8xKsja1hvvXC21x6bk7X3ys1NRVrbdc+SEpKIjk5ueuMfUJCAhkZGdTX13ddujMzM5OmpqbTriMpKYmGhoYe66irq+vKkpmZ2fXvu+++m6SkJNrb27suGxsKhUhPT+dzn/tc1/+vvvpq/vmf/5n/+Z//4a677uKRRx5h0aJFPP3007z73e/my1/+Ms3NzbS0tHDkyBGuv/562tra+O1vf8vcuXNJSkoiLS2N+vp6qqqqqKurIysri7179/Kxj32MtLQ0ysvLyc/P7/obf+lLX6KsrIxPfvKTvPrqqyQmJvLiiy+yfft2PvOZz7Bw4cIe+6mlpYXExMSuff3973+f3Nxc1q5dS0JCQo/9tHv3burq6rr2dfe/cUZGBs3NzbS1tfG1r32NF198kcsvv5wnn3ySlJSUrv1UU1NDXV0dJ06cICMjgy9+8Yts2rSJT3ziE/zoRz/qWsdnP/tZLr74Yj7/+c9z0UUXcfbZZ3f9zSHyPtu5ju77CaC9vb3rvrS0tK79vnTpUv785z/zjne8o2tf//M//zO//OUveeaZZ7jqqqsIhULcf//9vPzyy+zatYs77riD9PR02traaGlpoa6ujh//+Mc0NTXx85//nMsvv5xQKNS1n44ePdpVE91fC+np6bS2tp7ytdDa2kpbW1ufx70hZa2N6R/AEPk2vw2w3X5eBN510rKTOh7be4p1JXU83tyfbc+ePdvGmy984Qv2C1/4gusYIiLi0KZNm3zdXt5dv7Vne/zk3fVbX3OczkmfMXr9jBgxotdzGhsbbVFRkTXG2P/6r/+yGRkZduzYsbaqqqrHct/+9rctYD//+c/3mePRRx+1gH388cc9H7/99tstYDdu3GittfbXv/61Bezdd9/d57pzcnJsXl6ebWpq6nNZL21tbXbEiBE2LS2t1+94spaWFpuenm4zMzPtkSNHej3+la98xQL2a1/7Wtd9P/nJTyxgf/KTn3iuE7Dz58/vcd99991nAXvPPff0Wv7ll1+2gL3jjjt63D9//nwb+Yjc2xe/+EUL2BdeeOG0v99A9Pf1BlTYIfo87XwMgTGm0hhjB/Dzs27PTQUWExk4/FlgIjAC+ABwNvCKMeaKM4jVrxlB4nEMgUSv81tJke5UF+JFdRExaWTagO536VQfqI4dO9Zr2dTUVBYvXkxGRgaf+9znaGho4Omnn2bSpEk9lvvLX/4CwPvf/36Arm+FvXTWzLp167j//vt7/WzZsgWAt956C4D58+eTm5vLQw89xGWXXcZjjz3G6tWrPSfF+8d//EcqKyspLCzk7rvvZunSpRw/frzff5u3336b48ePc+GFF/b6Hb2WbWhooKioiJycnF6Pv+c9kR7ea9eu7ff2T6ekpKTXfZ3dpDvPrvXHtddeSygU4sorr+TGG2/k6aefZvv27YOS0aUgdBnaDgxkhq993f7978BHgS9Ya3/Q7f4/GGOuBt4AvsvfBhh3VvWIU6x7xEnLnVbnqSCR7jShjHhRXYgX1UXEnZcWcPdz63t0G0pLCnHnpQUOUw2OGTNmcOGFF/Laa68xc+ZMLrnkkl7LdDYmOi9Da08zU3Fn97JFixaddrudjYrs7Gz+8pe/cN999/HrX/+aF154AYAxY8bwmc98hq985Stdfd6/853vcM455/DjH/+Yhx56iIceeojExEQ+8IEP8MgjjzB9+vTTbvPk3+N0OhsaEydO9Hy8836vhtaZGDlyZK/7Osd1DGTG8He+8528+uqrPPjggzz77LP89Kc/BSJdF++77z4+9rGPDUpevzk/Q2Ctfa+19twB/Hyp29M7Bw4v81jvOqAGONsYM7rjvhNAFZBpjPGqwPyO2y2D9xuKiIjI6Vw5K5dvXnUByaHIx5LckWl886oLYnJA8ckeeughXnvtNcaMGcPGjRv55je/2WuZzg+r3a94cyojRkS+u1y3bt1pu4DcdNNNXc+ZPHky//M//0N1dTUbNmzgscceY/To0TzwwAM88MADXcuFQiG+8IUvsG7dOg4ePMj//d//8eEPf5hf//rXXHbZZX02YM/k9+gcx3Oy/fv391gO6BrX0DkuoLvBajj0R2lpKb/97W85evQof/7zn/nqV7/KwYMHuf766z2vjhQLnDcIopTScXvypUUxxqQA2R3/ben20Msdt5d5rO/9Jy1zWt0HGYl0Kisrcx1BAkh1IV5UF39z5axcZp01kjlTc/jzv78nLhoDr732Gvfeey8FBQVs2LCh61vkzsGjnd71rncB8Ic//AE4/eeLzmVfffXVAecxxlBYWMjnPvc5/vSnPwGwZMkSz2XHjRvHVVddxS9+8Qve8573sH379q7B/6dy7rnnMnLkSN5880327dt32mULCgpIT0/njTfe8Oyys2xZ5LvezqslQWRQPdB1UYLuOgfvD4ZQKAT0feYgJSWFuXPn8sADD/DYY48B8Pzzz5/2OUEV6w2CzlfDlzsaAN3dT6RL1F+ttd2HoH+/4/YeY8yozjuNMXlExiE0Az/pz8bj8VTvl7/8Zb785S+7jhHTOvtvinSnuhAvqov4dfToUT72sY8RCoV45plnGD9+PIsXLyYxMZGPfexjXV1/AG666Says7N54okneOWVV7quPtNp7969Xf/+xCc+wciRI/na177G66+/3mu77e3tXVdABNiwYUPXFae6O3jwIBC5Ag5EPtO89NJLvbortba2UlNT02PZUwmFQnzmM5+hsbGRT33qU70+J7W0tHDo0CEgMvnaP/7jP1JfX8+9997bY7nt27fz2GOPkZSUxA033NB1f0lJCQkJCfzv//5v15WCAGpqavjSl77EYBk9evT/b+/eo6wqzzuOfx8GGAQGFKfoxHJRCRc1BUEFjSUgmKTeCmhzqRIwRZMWicaCia4VgZWY6DIQLxg1bdJEjI1VF0USRUQg4qUpMaFUQCWRAcxFHKQO6MAM+vSPdw8ehj1wmLPP2WfO+X3W2mvDvj57zjNnznP2ft8XgK1btx60bvXq1bHtKlr+PNubYmhDkItbgIuBccArZrYUaCCMXnxW9O9rM3dw9xfMbD5wPbDOzB4FOgOfBXoBMzyLUYqBdjv4xKH07t077RDave3bt3PKKaekHYYUGeWFxFFetD+HGql4woQJDBs2DIAvfvGLbN26lbvuumv/sqFDhzJv3jyuueYarrzySh5//HEgPM//0EMPcdlllzF27FjOP/98hg8fTn19PevWrWPbtm1s3rwZCB9WH330USZOnMioUaMYN24cp556Kh06dGDr1q28+OKL7NixY39RsXz5cq6//nrOOeccBg8eTO/evXnjjTdYvHgxHTp0YNasWQA0NDQwfvx4+vfvz8iRI+nXrx979uzh6aefZuPGjVxyySUMGTLksD+f2bNn86tf/YolS5YwcOBALrroIqqqqti2bRvLli3j9ttvZ+rUqUB4nGr16tUsWLCANWvWMHbs2P3jEOzatYsFCxZw4okn7j92TU0Nl19+OQsXLmTYsGFceOGF1NfX88QTTzB69OjEGiCPGzeORx55hEmTJnHBBRdw1FFH0a9fPyZPnsy8efNYtmwZY8aM4aSTTqJ79+6sX7+eJ598kmOOOYarr746kRgKLl/dFxVqIjwu9F1gI6FxciOwhfAt/+BD7DcFWAO8C+wCfglcdCTnHjhwoJeaFStW+IoVK9IOo11buXJl2iFIEVJeSJxizYtCdzva7DP3veCfue+FVM59OBym21EyusO86667HPBLLrkk9lgTJ050wOfPn3/A8pdfftknT57sNTU13qlTJ+/du7ePHj3a77///oOOsXnzZp8+fboPGDDAKysrvaqqygcNGuRXXHGFL1q0aP92GzZs8K9+9as+YsQIr66u9s6dO3u/fv380ksv9eeff37/do2NjX7bbbf5pz/9ae/Tp49XVlZ6dXW1jxw50u+9917fu3dv1j+rpqYmv/vuu/3MM8/0bt26edeuXX3AgAF+1VVX+aZNmw7YdufOnX7DDTf4gAEDvHPnzt6zZ08fP358q9167tmzx2fOnOknnHCCd+rUyU8++WT/9re/7U1NTYfsdjTud23z5s0O+JQpUw5Yvm/fPr/xxhv9xBNP9I4dOx5w3KeeesqnTp3qQ4YM8R49enjXrl194MCBPmPGDK+trc36Z5SpGLodNT9ES3Y5tGHDhvnatWvTDiNR1113HQB33HFHqnG0Z3V1dVRXV6cdhhQZ5YXEKda82LhxY1bfBifts/eHLjUf/tLZBT93MWlqamqXo91K22T7+2ZmL7n7wf2nJqC9tyFIlYopiVOKbUskd8oLiaO8kDj6fCGFpoIgBy0b/YgAbNq0Ke0QpAgpLySO8uJAD3/p7LK/OwAqFKXwVBCIiIiIiJQxFQQ56Ny5c9ohSBFqHgpdJJPyQuIoLySO2g9IobX3bkdTVYq/sHPnzk07hHbvuOOOSzsEKULKC4mjvJA4pfj5Qoqb7hDk4N133007hMT17NnzgGHC5cglOVqilA7lhcRRXkiczEG3RApBBYEcYOnSpSxdujTtMEREJGXq6UYk/4rl90wFQQ4qKirSDiFxKghy16NHj7RDkCKkvJA4xZoXFRUVNDU1pR1G2erQQR/PykVTU1NRfJ5UxuWga9euaYcgRWj48OFphyBFSHkhcYo1L6qqqqivr087jLLVrVu3tEOQAqmvr6eqqirtMFQQ5GL37t1phyBF6Lnnnks7BClCyguJU6x50atXL3bu3EldXR2NjY1F81hDudi1a1faIUgeuTuNjY3U1dWxc+dOevXqlXZI6mUoF3qDlDj79u1LOwQpQsoLiVOseVFZWUnfvn15++23qa2t5f333087pLKyZ88eunTpknYYkkcVFRVUVVXRt29fKisr0w5HBYGIiIgcrLKykpqaGmpqatIOpeysWrWK008/Pe0wpIyYvuVuuzPOOMNLrcu45uHSi6Faba8++OADNQiTgygvJI7yQuIoLySOmb3k7mfk49jKthw0NDSkHULiKisrVQzkaP369WmHIEVIeSFxlBcSR3khhaaCIAfF+uxnLhYvXszixYvTDqNd27FjR9ohSBFSXkgc5YXEUV5IoakgkAOsXLmSlStXph2GiIiIiBSICoIcaBwCiTN06NC0Q5AipLyQOMoLiaO8kEJTQZADdcMmcdR/tMRRXkgc5YXEUV5IoakgyEFzjzwimV5//fW0Q5AipLyQOMoLiaO8kEJTQSAiIiIiUsY0DkEOzGwX8GracUjRqQbq0g5Cio7yQuIoLySO8kLiDHL3qnwcWCMV5+bVfA0QIe2Xmf1aeSEtKS8kjvJC4igvJI6Z5W00XD0yJCIiIiJSxlQQiIiIiIiUMRUEuflB2gFIUVJeSBzlhcRRXkgc5YXEyVteqFGxiIiIiEgZ0x0CEREREZEypoJARERERKSMqSAQERERESljKggymNlfmtmPzOyPZrbXzGrN7A4zOyaN40hxSOL1NLPLzOxuM1ttZvVm5mb2YD7jlvzKNS/M7Fgzm2Zmi8zsd2bWYGbvmNlzZvYPZqb353YoofeL28zsGTPbFuXF22b2WzObbWbH5jN+yY98fC4ws8nR3xI3s2lJxiuFkdD7RW1GHrSc/pz1cdSoODCzk4EXgN7AYuAV4CxgLGE04o+7+45CHUeKQ4J5sRYYCuwG3gAGAz919yvyE7nkUxJ5YWZfBu4F/gSsBLYCxwGTgJ7AY8Dfud6k240E3y8agd8AG4DtQDdgFHAG8EdglLtvy8c1SPLy8bnAzPoA/wtUAN2Bq9z9X5OMW/IrwfeLWuBo4I6Y1bvd/btZBeTumsLf26cAB2a0WD4/Wn5fIY+jqTimBPNiLPBRwIAx0b4Ppn19mtLLC+A84GKgQ4vlxxOKAwcuTftaNRU2L6Ltu7Sy/JboON9P+1o1FT4vMvYzYDnwe+D26BjT0r5OTenkBVAL1OYaj+4QAGZ2EuEXqxY42d0/yFhXRfgGz4De7v5uvo8jxSFfr6eZjSF8I6w7BO1QIX7Pzewmwoe/Be4+I+egJe8KlBdDgbXAcnc/P9eYJf/ykRdmdi3wPcKXS+cBs9EdgnYlybyI7hDg7v1ziUnPqAbnRfNlmS8KgLvvAp4HuhJu2RbiOFIc9HpKnELkRVM035fDMaSwCpEXF0fzdTkcQwor0bwwsyHArcCd7v5skoFKQSX9flFpZleY2U1mdq2ZjTWziiMJSAVBMCiav9bK+k3RfGCBjiPFQa+nxMlrXphZR+AL0X+XtuUYkorE88LMZprZHDP7npmtBr5JKAZubXuYUmCJ5UX03rCQ8EjhTbmHJilK+v3ieEJu3EJoS7AC2GRmn8g2oI7Zbljiekbzd1pZ37z86AIdR4qDXk+Jk++8uBU4DXjC3Z9q4zGk8PKRFzMJDc2bLQWmuvtbRxaapCjJvLgZOB04190bcoxL0pVkXvwbsBpYD+wCTgKuAa4GnjSzs939fw53EN0hyI5F81wbXCR1HCkOej0lTpvzwsy+AvwzobeJyUkGJak74rxw9+Pd3Qjf/k0i/KH/rZkNz0N8ko6s8sLMziLcFZjn7i/mPSpJW9bvF+4+191XuPub7v6eu7/s7l8mNE4+CpiTzQlVEATNlVjPVtb3aLFdvo8jxUGvp8TJS16Y2XTgTkJXk2Pd/e22hScpydv7RfSHfhHwSeBY4IEjD09SknNeZDwq9BrwjeRCkxQV4vPFfdF8dDYbqyAIXo3mrT2r9dFo3tqzXkkfR4qDXk+Jk3hemNl1wALgZUIxkPVgMlI08v5+4e5bCAXjqWZW3dbjSEElkRfdo/2HAHsyB54i9DAE8C/RsjtyDVgKohCfL7ZH827ZbKw2BMHKaP5JM+sQ0/3Tx4EG4L8KdBwpDno9JU6ieWFmXyO0G1gLnO/udcmGKwVSqPeLj0Tz93M8jhRGEnmxF/hhK+uGE9oVPEf4kKnHidqHQrxfnB3NX89mY90hANz998AyoD8wvcXquYTq6oHmvmDNrJOZDY5GmWvzcaS4JZUXUlqSzAsz+wahGHgJGKdioP1KKi+iZce3PL6ZdTCzWwijmr7g7jvzcBmSsCTywt0b3H1a3AQ8Hm32k2jZw3m/KMlZgu8Xp5pZr5bHN7N+hLvOAA9mE5MGJovEDCG9ERhJGGH2NeAcj4aQNrP+wGZgS8uBII7kOFL8EsyLCcCE6L/HA58iVO2ro2V17j4zf1ciSUoiL8xsCvBjwje9dxP/rGitu/84T5chCUsoL64jjD77LGHgoh2EnoY+QWhU/GdC8bihENckuUvq70grx56DBiZrlxJ6v5gDfJ1wx2EzoZehk4ELgS7AE8BEd288bEC5DnVcShPQh9B905+ARmALoZFfrxbb9Se0/I4dKjrb42hqH1MSeUFo5e+HmGJzSVPxTrnmRRY54cCqtK9TU8Hz4jTgHsIjZHWEweneAdZEOaO/I+1wSurzRcxxm99HpqV9jZoKnxeELwr+ndAz3f8RBrV8C3iaMJ6NZRuL7hCIiIiIiJQxtSEQERERESljKghERERERMqYCgIRERERkTKmgkBEREREpIypIBARERERKWMqCEREREREypgKAhERERGRMqaCQERERESkjKkgEBEREREpYyoIRETKnJndaGZrzKzezN4ysyVmdlracSWl1K9PRCRXKghERGQM8H3gHOA8YB+w3Mx6pRlUgsZQ2tcnIpITc/e0YxARkTwws6OAWcDfA/2Bt4CFwGx3bzrEft2Bd4AJ7r4kY/kYYGXGpq+6++AjiKcvsAVY5O6Tsr6QhB3i+qoJP6P93N0KHJ6ISMF1TDsAERFJnpnVAE8DA4FFwGLgIuBG4FjgS4fYvYpwB3lnK+t/CawC6o4wrOHR/DdHuF/SWru+94C50b+nAv0KGJOISGpUEIiIlBgz6wwsIdwVGOvuz0fLvwmsB6aZ2Wx3/3Mrh7gTWAu82Mr6Ve4+pw2hNRcEL7Vh3yTFXp+7vwfMgf13Q1QQiEhZUBsCEZHSMxMYAXytuRgAcPfdhLsFHYC/jtvRzOYD5wKXuvv7Ccc1Ipqndocgz9cnItIuqSAQESkhGe0G/gT8IGaTHdH8+Jh9vwd8HjjP3V9v4/k7mtm1ZrbOzBrMbIuZ3WBmRrhD8Ad3fzNmv0vN7EkzqzOzRjPbZGY3mVlFzLZdzOzrZrbBzPZE57jJzCrMbJeZrWsltpyvT0SkFOmRIRGR0jIROBr4YSsNh7tE88bMhWZ2J/A5YIy7v9KWE0ePKv0cOJ/wSM4CQnuFucBHCUXIkhb7VAAPRuf+HfAIsBf4G+AWYBAwJWP7bsByYBTh0aM7geOAm4EhQHfgtzGx5Xx9IiKlSgWBiEhpuTCan2Bmc2LWj4/m25oXmNk9wGRgArDTzJrvHuyOHjPK1j2EYuBm4FsedWNnZj8mNESGgx8Xav6gfivwDXffF+0zi9Bw+Qtmdpu7b4i2v59QDLQ8x0JCoXDQORK8PhGRkqSCQESktJwbzT93mO02ZPz7n6L5My22mUvUyPZwzOwsYBrwrLt/M3Oduz9rZhsJ3+C/lLHPyOjci939xhb7NJnZTwhjB4wENpjZKODyaPuW53jGzLYCfTm46Mj5+kRESpkKAhGREhE9TtMXeNndPxazvjvwNvCmu9c2L0+or/0Z0fzmVtY3t13I/LA+AzDgvVbuZjSPJtwc3/RofsshztGH8LjSfhpLQETk0FQQiIiUjhOi+R9bWf8poBPwizyc+5OED+TPtrL+JEIh8ocW+0Bo6HsoW1uc49etbFcDbHL3XYcPV0REmqmXIRGR0tE5mu9tZf2V0fxHSZ7UzLoAvYGtzc/0t1h/DvARMu4ORPv8BeERIzvMtDzjHNtaOcdgQqPltAc9ExFpd1QQiIiUjuaBxuK6FB0FXAA86e7/nfB534+m3q2sbx79N/PDevNjPNVZnmNfNB3TyvobYs4hIiJZUEEgIlIi3L0O2AiMMLO/al5uZv2AnwHv8GED2yTP2wRsIvRsdHHmOjP7Gh/2bPRSxj4NwDrgFDObFHdcMzu3eRyCqPeh14B+ZjauxXbT+fDuhwoCEZEjpDYEIiKl5VvAT4FnzOxBoBvwGcCBCzMbEyfsO8BPgMfM7GeEuxVjgI8Rujjtw8Ef1mcR2jM8ZmbLCQVCB0JbiBFAJ3fv2+IcC4FfmNnD0TnOJYxx8AphzAIVBCIiR0h3CERESoi7PwRMBbYD/0h4TOg/gNPc/YU8nvcB4DrgDUIj4SmEQuDjhGJkh7tvabHPMkK3oo8RCoevEMYLGEIYU+DKFts/GG3zh+gcnyf0KHQm4XGlte6+Mx/XJyJSyiymbZaIiMhBzGwMsBKY6+5zUg0mg5lNBh4AZrn7dxM65irgE+qyVETKgQoCERHJSkZB0OxVdx9coHNXAMe6+/YWy8cD/0kYX+GUXEYeNrNq4K3MZSoIRKQcqA2BiIhkq5YPewwCqCvguU8B1pjZU8DvCeMpDCO0IagD/jaXYiDyHgden4hIWdAdAhERKXpmNojQqHgkcCzwAbAZ+Dkw393fTDE8EZF2TQWBiIiIiEgZUy9DIiIiIiJlTAWBiIiIiEgZU0EgIiIiIlLGVBCIiIiIiJQxFQQiIiIiImVMBYGIiIiISBlTQSAiIiIiUsZUEIiIiIiIlLH/BwLitB/n35mCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 10))\n",
    "\n",
    "ax.errorbar(bin_center, excess, yerr=excess_err,fmt='o',color='tab:blue',label='Excess counts')\n",
    "ax.bar(bin_edges_on[:-1], excess, width = bin_width, align='edge', color='lightblue', ec='lightblue', alpha=0.5)\n",
    "ax.axhline(0, color='darkgray')\n",
    "ax.set_xlim(0, 0.5)\n",
    "#ax.set_xlim(left=0)\n",
    "ax.grid()\n",
    "ax.axvline(THETA2_GLOBAL_CUT, color='black', ls='--', alpha=0.75)\n",
    "ax.grid(ls='dashed')\n",
    "ax.set_xlabel(\"$\\\\theta^{2} [deg^{2}]$\")\n",
    "ax.set_ylabel(\"Counts\")\n",
    "ax.legend(title=f'Significance = {significance_lima:.1f} $\\sigma$')\n",
    "\n",
    "plt.savefig(os.path.join(base_dir, f'{filename_output}_fast_excess.png'), dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60b22919-217b-4c28-917b-1f5755eb7d17",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Theta2 plots for different bins in energy"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e4f4907-c216-4514-8feb-6755ca02a769",
   "metadata": {},
   "source": [
    "### Define the energy binning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "6550109a-90e6-492a-8956-0b818dfe7545",
   "metadata": {},
   "outputs": [],
   "source": [
    "log_reco_energy = np.array(selected_data.log_reco_energy)\n",
    "emin=0.01 * u.TeV\n",
    "emax=10 * u.TeV\n",
    "n_bins_energy=3\n",
    "log_energy = np.linspace(np.log10(emin.to_value()),\n",
    "                         np.log10(emax.to_value()),\n",
    "                         n_bins_energy + 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52a1c1c7-8338-4442-b715-55349877ae71",
   "metadata": {},
   "source": [
    "### Calculate the significante and produce a theta2 plot for each energy bin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "6fdee2ff-89e6-4011-a211-559aaf4b7e33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },