Day2_ep_scattering.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Simulating electron - proton collisions \n",
    "\n",
    "### Day-2 : Looking into the electron scatterings \n",
    "\n",
    "The first few cells are exactly the same as the previous notebook. We will go further in studying the scattered electron "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing useful headers\n",
    "import pythia8\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initialize the pythia object and setup the type of collisions "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " *------------------------------------------------------------------------------------* \n",
      " |                                                                                    | \n",
      " |  *------------------------------------------------------------------------------*  | \n",
      " |  |                                                                              |  | \n",
      " |  |                                                                              |  | \n",
      " |  |   PPP   Y   Y  TTTTT  H   H  III    A      Welcome to the Lund Monte Carlo!  |  | \n",
      " |  |   P  P   Y Y     T    H   H   I    A A     This is PYTHIA version 8.307      |  | \n",
      " |  |   PPP     Y      T    HHHHH   I   AAAAA    Last date of change: 25 Feb 2022  |  | \n",
      " |  |   P       Y      T    H   H   I   A   A                                      |  | \n",
      " |  |   P       Y      T    H   H  III  A   A    Now is 12 Jun 2023 at 08:43:32    |  | \n",
      " |  |                                                                              |  | \n",
      " |  |   Program documentation and an archive of historic versions is found on:     |  | \n",
      " |  |                                                                              |  | \n",
      " |  |                               https://pythia.org/                            |  | \n",
      " |  |                                                                              |  | \n",
      " |  |   PYTHIA is authored by a collaboration consisting of:                       |  | \n",
      " |  |                                                                              |  | \n",
      " |  |   Christian Bierlich, Nishita Desai, Leif Gellersen, Ilkka Helenius, Philip  |  | \n",
      " |  |   Ilten, Leif Lönnblad, Stephen Mrenna, Stefan Prestel, Christian Preuss,    |  | \n",
      " |  |   Torbjörn Sjöstrand, Peter Skands, Marius Utheim and Rob Verheyen.          |  | \n",
      " |  |                                                                              |  | \n",
      " |  |   The complete list of authors, including contact information and            |  | \n",
      " |  |   affiliations, can be found on "
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://pythia.org/.                         |  | \n",
      " |  |   Problems or bugs should be reported on email at authors@pythia.org.        |  | \n",
      " |  |                                                                              |  | \n",
      " |  |   The main program reference is 'An Introduction to PYTHIA 8.2',             |  | \n",
      " |  |   T. Sjöstrand et al, Comput. Phys. Commun. 191 (2015) 159                   |  | \n",
      " |  |   [arXiv:1410.3012 [hep-ph]]                                                 |  | \n",
      " |  |                                                                              |  | \n",
      " |  |   The main physics reference is the 'PYTHIA 6.4 Physics and Manual',         |  | \n",
      " |  |   T. Sjöstrand, S. Mrenna and P. Skands, JHEP05 (2006) 026 [hep-ph/0603175]  |  | \n",
      " |  |                                                                              |  | \n",
      " |  |   PYTHIA is released under the GNU General Public Licence version 2 or later.|  | \n",
      " |  |   Please respect the MCnet Guidelines for Event Generator Authors and Users. |  | \n",
      " |  |                                                                              |  | \n",
      " |  |   Disclaimer: this program comes without any guarantees.                     |  | \n",
      " |  |   Beware of errors and use common sense when interpreting results.           |  | \n",
      " |  |                                                                              |  | \n",
      " |  |   Copyright (C) 2022 Torbjörn Sjöstrand                                      |  | \n",
      " |  |                                                                              |  | \n",
      " |  |                                                                              |  | \n",
      " |  *------------------------------------------------------------------------------*  | \n",
      " |                                                                                    | \n",
      " *------------------------------------------------------------------------------------* \n",
      "\n"
     ]
    }
   ],
   "source": [
    "pythia = pythia8.Pythia()\n",
    "#Set up incoming beams, for frame with unequal beam energies.\n",
    "pythia.readString(\"Beams:frameType = 2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set the proton energy - \n",
    "pEnergy = 920\n",
    "#BeamA = proton.\n",
    "pythia.readString(\"Beams:idA = 2212\")\n",
    "pythia.settings.parm(\"Beams:eA\", pEnergy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set the electron energy - \n",
    "eEnergy = 500\n",
    "#BeamB = electron.\n",
    "pythia.readString(\"Beams:idB = 11\")\n",
    "pythia.settings.parm(\"Beams:eB\", eEnergy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " *-------  PYTHIA Process Initialization  --------------------------*\n",
      " |                                                                  |\n",
      " | We collide p+ with e- at a CM energy of 1.356e+03 GeV            |\n",
      " |                                                                  |\n",
      " |------------------------------------------------------------------|\n",
      " |                                                    |             |\n",
      " | Subprocess                                    Code |   Estimated |\n",
      " |                                                    |    max (mb) |\n",
      " |                                                    |             |\n",
      " |------------------------------------------------------------------|\n",
      " |                                                    |             |\n",
      " | f f' -> f f' (t-channel gamma*/Z0)             211 |   3.797e-04 |\n",
      " |                                                                  |\n",
      " *-------  End PYTHIA Process Initialization -----------------------*\n",
      "\n",
      " *-------  PYTHIA Flag + Mode + Parm + Word + FVec + MVec + PVec + WVec Settings (changes only)  ------------------* \n",
      " |                                                                                                                 | \n",
      " | Name                                          |                      Now |      Default         Min         Max | \n",
      " |                                               |                          |                                      | \n",
      " | Beams:eA                                      |                920.00000 |     7000.000         0.0             | \n",
      " | Beams:eB                                      |                500.00000 |     7000.000         0.0             | \n",
      " | Beams:frameType                               |                        2 |            1           1           5 | \n",
      " | Beams:idB                                     |                       11 |         2212                         | \n",
      " | PDF:lepton                                    |     "
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                 off |           on                         | \n",
      " | PhaseSpace:Q2Min                              |                 25.00000 |          0.0         0.0             | \n",
      " | SpaceShower:dipoleRecoil                      |                       on |          off                         | \n",
      " | SpaceShower:pTmaxMatch                        |                        2 |            0           0           2 | \n",
      " | TimeShower:QEDshowerByL                       |                      off |           on                         | \n",
      " | WeakBosonExchange:ff2ff(t:gmZ)                |                       on |          off                         | \n",
      " |                                                                                                                 | \n",
      " *-------  End PYTHIA Flag + Mode + Parm + Word + FVec + MVec + PVec + WVec Settings  -----------------------------* \n",
      "\n",
      " --------  PYTHIA Particle Data Table (changed only)  ------------------------------------------------------------------------------\n",
      " \n",
      "      id   name            antiName         spn chg col      m0        mWidth      mMin       mMax       tau0    res dec ext vis wid\n",
      "             no onMode   bRatio   meMode     products \n",
      "\n",
      " no particle data has been changed from its default value \n",
      "\n",
      " --------  End PYTHIA Particle Data Table  -----------------------------------------------------------------------------------------\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Set up DIS process within some phase space.\n",
    "#Neutral current (with gamma/Z interference).\n",
    "pythia.readString(\"WeakBosonExchange:ff2ff(t:gmZ) = on\")\n",
    "\n",
    "#Phase-space cut: minimal Q2 of process.\n",
    "pythia.settings.parm(\"PhaseSpace:Q2Min\", 25)\n",
    "\n",
    "#Set dipole recoil on. Necessary for DIS + shower.\n",
    "pythia.readString(\"SpaceShower:dipoleRecoil = on\")\n",
    "\n",
    "#Allow emissions up to the kinematical limit,\n",
    "#since rate known to match well to matrix elements everywhere.\n",
    "pythia.readString(\"SpaceShower:pTmaxMatch = 2\")\n",
    "\n",
    "#QED radiation off lepton not handled yet by the new procedure.\n",
    "pythia.readString(\"PDF:lepton = off\")\n",
    "pythia.readString(\"TimeShower:QEDshowerByL = off\")\n",
    "\n",
    "pythia.init()\n",
    "\n",
    "pythia.readString(\"Random:setSeed = on\")\n",
    "pythia.readString(\"Random:seed = 389780\") # add your birthday "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11\n",
      " --------  PYTHIA Info Listing  ---------------------------------------- \n",
      " \n",
      " Beam A: id =   2212, pz =  6.782e+02, e =  6.782e+02, m =  9.383e-01.\n",
      " Beam B: id =     11, pz = -6.782e+02, e =  6.782e+02, m =  5.110e-04.\n",
      "\n",
      " In 1: id =   -3, x =  7.164e-04, pdf =  6.311e-01 at Q2 =  7.464e+01.\n",
      " In 2: id =   11, x =  1.000e+00, pdf =  1.000e+00 at same Q2.\n",
      "\n",
      " Subprocess f f' -> f f' (t-channel gamma*/Z0) with code 211 is 2 -> 2.\n",
      " It has sHat =  1.318e+03,    tHat = -7.943e+01,    uHat = -1.239e+03,\n",
      "       pTHat =  8.638e+00,   m3Hat =  5.000e-01,   m4Hat =  5.110e-04,\n",
      "    thetaHat =  4.960e-01,  phiHat =  4.026e+00.\n",
      "     alphaEM =  7.614e-03,  alphaS =  2.076e-01    at Q2 =  7.464e+01.\n",
      "\n",
      " Impact parameter b =  0.000e+00 gives enhancement factor =  1.000e+00.\n",
      " Max pT scale for MPI =  1.356e+03, ISR =  1.356e+03, FSR =  1.356e+03.\n",
      " Number of MPI =     1, ISR =     0, FSRproc =     0, FSRreson =     0.\n",
      "\n",
      " --------  End PYTHIA Info Listing  ------------------------------------\n",
      " 8.64 -4.69 3.12 0.884 470.0 470.0 0.000511\n",
      "211 0.163 5.8 0.00603 -1.97 27.1 27.1 0.14\n",
      "-211 0.527 7.69 0.000913 2.27 577.0 577.0 0.14\n",
      "211 0.388 6.48 0.00308 0.942 126.0 126.0 0.14\n",
      "-211 0.267 5.79 0.00612 0.626 43.7 43.7 0.14\n",
      "211 0.712 4.36 0.0255 -0.978 27.9 27.9 0.14\n",
      "-211 0.187 4.38 0.025 1.35 7.47 7.47 0.14\n",
      "211 0.21 4.24 0.0289 0.571 7.26 7.26 0.14\n",
      "-211 0.531 -1.05 2.47 -0.9 0.86 0.849 0.14\n",
      "211 0.346 0.0678 1.5 -0.301 0.374 0.347 0.14\n",
      "-211 2.42 -1.9 2.85 -2.09 8.28 8.28 0.14\n",
      "321 6.31 -1.84 2.83 -2.25 20.4 20.4 0.494\n",
      "211 0.235 4.04 0.0353 -0.00341 6.66 6.66 0.14\n",
      "-211 0.469 3.67 0.051 -3.14 9.21 9.21 0.14\n",
      "2112 0.234 3.19 0.0822 1.25 3.0 2.85 0.94\n",
      "-2112 0.578 0.879 0.787 2.94 1.25 0.817 0.94\n",
      "2112 0.487 5.53 0.00794 1.24 61.4 61.4 0.94\n",
      "22 0.129 1.8 0.329 -3.03 0.401 0.401 0.0\n",
      "22 0.217 2.58 0.152 -3.12 1.44 1.44 0.0\n",
      "22 0.039 0.381 1.2 0.572 0.0419 0.0419 0.0\n",
      "22 0.137 1.31 0.525 -1.24 0.274 0.274 0.0\n",
      "22 0.144 5.49 0.00825 1.52 17.5 17.5 0.0\n",
      "22 0.0281 4.79 0.0167 -1.78 1.69 1.69 0.0\n",
      "22 0.208 0.0303 1.54 3.05 0.208 0.208 0.0\n",
      "22 0.091 -0.865 2.34 -2.9 0.127 0.127 0.0\n",
      "22 0.0769 -0.309 1.88 -3.02 0.0806 0.0806 0.0\n",
      "22 0.304 -0.856 2.34 -2.31 0.422 0.422 0.0\n",
      "22 0.051 0.217 1.36 -1.55 0.0522 0.0522 0.0\n",
      "22 0.227 -0.356 1.92 -2.73 0.241 0.241 0.0\n",
      "\n",
      " --------  PYTHIA Event Listing  (hard process)  -----------------------------------------------------------------------------------\n",
      " \n",
      "    no         id  name            status     mothers   daughters     colours      p_x        p_y        p_z         e          m \n",
      "     0         90  (system)           -11     0     0     0     0     0     0      0.000      0.000    420.000   1420.000   1356.466\n",
      "     1       2212  (p+)               -12     0     0     3     0     0     0      0.000      0.000    920.000    920.000      0.938\n",
      "     2         11  (e-)               -12     0     0     4     0     0     0      0.000      0.000   -500.000    500.000      0.001\n",
      "     3         -3  (sbar)             -21     1     0     5     6     0   101      0.000      0.000      0.659      0.659      0.000\n",
      "     4         11  (e-)               -21     2     0     5     6     0     0      0.000      0.000   -500.000    500.000      0.000\n",
      "     5         -3  sbar                23     3     4     0     0     0   101     -5.475     -6.681    -29.599     30.838      0.500\n",
      "     6         11  e-                  23     3     4     0     0     0     0      5.475      6.681   -469.742    469.821      0.001\n",
      "                                   Charge sum: -0.667           Momentum sum:      0.000      0.000   -499.341    500.659     36.306\n",
      "\n",
      " --------  End PYTHIA Event Listing  -----------------------------------------------------------------------------------------------\n",
      "\n",
      " --------  PYTHIA Event Listing  (complete event)  ---------------------------------------------------------------------------------\n",
      " \n",
      "    no         id  name            status     mothers   daughters     colours      p_x        p_y        p_z         e          m \n",
      "     0         90  (system)           -11     0     0     0     0     0     0     -0.000     -0.000    420.000   1420.000   1356.466\n",
      "     1       2212  (p+)               -12     0     0     7     0     0     0      0.000      0.000    920.000    920.000      0.938\n",
      "     2         11  (e-)               -12     0     0     4     0     0     0     -0.000     -0.000   -500.000    500.000      0.001\n",
      "     3         -3  (sbar)             -21     7     7     5     6     0   101     -0.000      0.000      0.659      0.659      0.000\n",
      "     4         11  (e-)               -21     2     0     5     6     0     0     -0.000     -0.000   -500.000    500.000      0.000\n",
      "     5         -3  (sbar)             -23     3     4     8     8     0   101     -5.475     -6.681    -29.599     30.838      0.500\n",
      "     6         11  e-                  23     3     4     0     0     0     0      5.475      6.681   -469.742    469.821      0.001\n",
      "     7         -3  (sbar)             -61     1     0     3     3     0   101     -0.447     -0.996      0.430      1.174      0.000\n",
      "     8         -3  (sbar)             -62     5     5    12    12     0   101     -5.853     -7.592    -29.451     30.976      0.500\n",
      "     9          2  (u)                -63     1     0    11    11   101     0      0.215      0.334    838.652    838.652      0.330\n",
      "    10       3122  (Lambda0)          -63     1     0    34    35     0     0      0.163      0.577     80.540     80.550      1.116\n",
      "    11          2  (u)                -71     9     9    13    27   101     0      0.215      0.334    838.652    838.652      0.330\n",
      "    12         -3  (sbar)             -71     8     8    13    27     0   101     -5.853     -7.592    -29.451     30.976      0.500\n",
      "    13        211  pi+                 83    11    12     0     0     0     0     -0.063     -0.150     27.058     27.059      0.140\n",
      "    14       -211  pi-                 83    11    12     0     0     0     0     -0.338      0.404    576.847    576.847      0.140\n",
      "    15        211  pi+                 83    11    12     0     0     0     0      0.228      0.314    126.051    126.052      0.140\n",
      "    16       -211  pi-                 83    11    12     0     0     0     0      0.217      0.157     43.675     43.676      0.140\n",
      "    17        211  pi+                 83    11    12     0     0     0     0      0.398     -0.591     27.939     27.948      0.140\n",
      "    18       -211  pi-                 83    11    12     0     0     0     0      0.042      0.182      7.467      7.470      0.140\n",
      "    19        113  (rho0)             -83    11    12    28    29     0     0     -0.234     -0.004     15.853     15.872      0.733\n",
      "    20        211  pi+                 83    11    12     0     0     0     0      0.176      0.113      7.258      7.262      0.140\n",
      "    21       2114  (Delta0)           -84    11    12    30    31     0     0     -0.271      0.203      4.640      4.839      1.329\n",
      "    22      -2114  (Deltabar0)        -84    11    12    32    33     0     0     -0.489      0.006      0.829      1.561      1.229\n",
      "    23       -211  pi-                 84    11    12     0     0     0     0      0.330     -0.416     -0.663      0.860      0.140\n",
      "    24        211  pi+                 84    11    12     0     0     0     0      0.331     -0.103      0.023      0.374      0.140\n",
      "    25        221  (eta)              -84    11    12    36    38     0     0     -0.785     -0.376     -0.471      1.131      0.548\n",
      "    26       -211  pi-                 84    11    12     0     0     0     0     -1.193     -2.103     -7.919      8.282      0.140\n",
      "    27        321  K+                  84    11    12     0     0     0     0     -3.986     -4.895    -19.387     20.395      0.494\n",
      "    28        211  pi+                 91    19     0     0     0     0     0      0.235     -0.001      6.656      6.661      0.140\n",
      "    29       -211  pi-                 91    19     0     0     0     0     0     -0.469     -0.003      9.197      9.210      0.140\n",
      "    30       2112  n0                  91    21     0     0     0     0     0      0.074      0.222      2.842      3.002      0.940\n",
      "    31        111  (pi0)              -91    21     0    39    40     0     0     -0.345     -0.019      1.799      1.837      0.135\n",
      "    32      -2112  nbar0               91    22     0     0     0     0     0     -0.567      0.115      0.577      1.245      0.940\n",
      "    33        111  (pi0)              -91    22     0    41    42     0     0      0.078     -0.108      0.252      0.316      0.135\n",
      "    34       2112  n0                  91    10     0     0     0     0     0      0.161      0.460     61.380     61.389      0.940\n",
      "    35        111  (pi0)              -91    10     0    43    44     0     0      0.002      0.116     19.161     19.162      0.135\n",
      "    36        111  (pi0)              -91    25     0    45    46     0     0     -0.295     -0.002     -0.083      0.335      0.135\n",
      "    37        111  (pi0)              -91    25     0    47    48     0     0     -0.282     -0.233     -0.317      0.502      0.135\n",
      "    38        111  (pi0)              -91    25     0    49    50     0     0     -0.207     -0.141     -0.071      0.293      0.135\n",
      "    39         22  gamma               91    31     0     0     0     0     0     -0.129     -0.015      0.380      0.401      0.000\n",
      "    40         22  gamma               91    31     0     0     0     0     0     -0.217     -0.005      1.419      1.436      0.000\n",
      "    41         22  gamma               91    33     0     0     0     0     0      0.033      0.021      0.015      0.042      0.000\n",
      "    42         22  gamma               91    33     0     0     0     0     0      0.045     -0.130      0.237      0.274      0.000\n",
      "    43         22  gamma               91    35     0     0     0     0     0      0.008      0.144     17.471     17.472      0.000\n",
      "    44         22  gamma               91    35     0     0     0     0     0     -0.006     -0.028      1.690      1.690      0.000\n",
      "    45         22  gamma               91    36     0     0     0     0     0     -0.207      0.019      0.006      0.208      0.000\n",
      "    46         22  gamma               91    36     0     0     0     0     0     -0.088     -0.021     -0.089      0.127      0.000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    47         22  gamma               91    37     0     0     0     0     0     -0.076     -0.010     -0.024      0.081      0.000\n",
      "    48         22  gamma               91    37     0     0     0     0     0     -0.206     -0.223     -0.293      0.422      0.000\n",
      "    49         22  gamma               91    38     0     0     0     0     0      0.001     -0.051      0.011      0.052      0.000\n",
      "    50         22  gamma               91    38     0     0     0     0     0     -0.208     -0.090     -0.082      0.241      0.000\n",
      "                                   Charge sum:  0.000           Momentum sum:      0.000     -0.000    420.000   1420.000   1356.466\n",
      "\n",
      " --------  End PYTHIA Event Listing  -----------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "pythia.next()\n",
    "\n",
    "part_pt = []\n",
    "part_eta = []\n",
    "part_theta = []\n",
    "part_phi = []\n",
    "part_E = []\n",
    "part_p = []\n",
    "part_m = []\n",
    "part_id = []\n",
    "\n",
    "for particle in pythia.event:\n",
    "    #if 1:\n",
    "    if particle.isFinal():\n",
    "        pT = float('%.3g' % particle.pT())\n",
    "        part_pt.append(pT)\n",
    "        eta = float('%.3g' % particle.eta())\n",
    "        part_eta.append(eta)\n",
    "        theta = float('%.3g' % particle.theta())\n",
    "        part_theta.append(theta)\n",
    "        phi = float('%.3g' % particle.phi())\n",
    "        part_phi.append(phi)\n",
    "        E = float('%.3g' % particle.e())\n",
    "        part_E.append(E)\n",
    "        p = float('%.3g' % particle.pAbs())\n",
    "        part_p.append(p)\n",
    "        mass = float('%.3g' % particle.m())\n",
    "        part_m.append(mass)\n",
    "        part_id.append(particle.id())\n",
    "        print(particle.id(), pT, eta, theta, phi, E, p, mass)\n",
    "\n",
    "part_pt = np.array(part_pt)\n",
    "part_phi = np.array(part_phi)\n",
    "part_eta = np.array(part_eta)\n",
    "part_theta = np.array(part_theta)\n",
    "part_E = np.array(part_E)\n",
    "part_p = np.array(part_p)\n",
    "part_m = np.array(part_m)\n",
    "part_id = np.array(part_id)\n",
    "particles = np.vstack((part_id, part_pt, part_phi, part_eta, part_theta, part_E, part_p, part_m)).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .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>ID</th>\n",
       "      <th>pT</th>\n",
       "      <th>phi</th>\n",
       "      <th>eta</th>\n",
       "      <th>theta</th>\n",
       "      <th>Energy</th>\n",
       "      <th>momentum</th>\n",
       "      <th>mass</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>8.6400</td>\n",
       "      <td>0.88400</td>\n",
       "      <td>-4.6900</td>\n",
       "      <td>3.120000</td>\n",
       "      <td>470.0000</td>\n",
       "      <td>470.0000</td>\n",
       "      <td>0.000511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>211.0</td>\n",
       "      <td>0.1630</td>\n",
       "      <td>-1.97000</td>\n",
       "      <td>5.8000</td>\n",
       "      <td>0.006030</td>\n",
       "      <td>27.1000</td>\n",
       "      <td>27.1000</td>\n",
       "      <td>0.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-211.0</td>\n",
       "      <td>0.5270</td>\n",
       "      <td>2.27000</td>\n",
       "      <td>7.6900</td>\n",
       "      <td>0.000913</td>\n",
       "      <td>577.0000</td>\n",
       "      <td>577.0000</td>\n",
       "      <td>0.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>211.0</td>\n",
       "      <td>0.3880</td>\n",
       "      <td>0.94200</td>\n",
       "      <td>6.4800</td>\n",
       "      <td>0.003080</td>\n",
       "      <td>126.0000</td>\n",
       "      <td>126.0000</td>\n",
       "      <td>0.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-211.0</td>\n",
       "      <td>0.2670</td>\n",
       "      <td>0.62600</td>\n",
       "      <td>5.7900</td>\n",
       "      <td>0.006120</td>\n",
       "      <td>43.7000</td>\n",
       "      <td>43.7000</td>\n",
       "      <td>0.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>211.0</td>\n",
       "      <td>0.7120</td>\n",
       "      <td>-0.97800</td>\n",
       "      <td>4.3600</td>\n",
       "      <td>0.025500</td>\n",
       "      <td>27.9000</td>\n",
       "      <td>27.9000</td>\n",
       "      <td>0.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-211.0</td>\n",
       "      <td>0.1870</td>\n",
       "      <td>1.35000</td>\n",
       "      <td>4.3800</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>7.4700</td>\n",
       "      <td>7.4700</td>\n",
       "      <td>0.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>211.0</td>\n",
       "      <td>0.2100</td>\n",
       "      <td>0.57100</td>\n",
       "      <td>4.2400</td>\n",
       "      <td>0.028900</td>\n",
       "      <td>7.2600</td>\n",
       "      <td>7.2600</td>\n",
       "      <td>0.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-211.0</td>\n",
       "      <td>0.5310</td>\n",
       "      <td>-0.90000</td>\n",
       "      <td>-1.0500</td>\n",
       "      <td>2.470000</td>\n",
       "      <td>0.8600</td>\n",
       "      <td>0.8490</td>\n",
       "      <td>0.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>211.0</td>\n",
       "      <td>0.3460</td>\n",
       "      <td>-0.30100</td>\n",
       "      <td>0.0678</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>0.3740</td>\n",
       "      <td>0.3470</td>\n",
       "      <td>0.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-211.0</td>\n",
       "      <td>2.4200</td>\n",
       "      <td>-2.09000</td>\n",
       "      <td>-1.9000</td>\n",
       "      <td>2.850000</td>\n",
       "      <td>8.2800</td>\n",
       "      <td>8.2800</td>\n",
       "      <td>0.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>321.0</td>\n",
       "      <td>6.3100</td>\n",
       "      <td>-2.25000</td>\n",
       "      <td>-1.8400</td>\n",
       "      <td>2.830000</td>\n",
       "      <td>20.4000</td>\n",
       "      <td>20.4000</td>\n",
       "      <td>0.494000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>211.0</td>\n",
       "      <td>0.2350</td>\n",
       "      <td>-0.00341</td>\n",
       "      <td>4.0400</td>\n",
       "      <td>0.035300</td>\n",
       "      <td>6.6600</td>\n",
       "      <td>6.6600</td>\n",
       "      <td>0.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-211.0</td>\n",
       "      <td>0.4690</td>\n",
       "      <td>-3.14000</td>\n",
       "      <td>3.6700</td>\n",
       "      <td>0.051000</td>\n",
       "      <td>9.2100</td>\n",
       "      <td>9.2100</td>\n",
       "      <td>0.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2112.0</td>\n",
       "      <td>0.2340</td>\n",
       "      <td>1.25000</td>\n",
       "      <td>3.1900</td>\n",
       "      <td>0.082200</td>\n",
       "      <td>3.0000</td>\n",
       "      <td>2.8500</td>\n",
       "      <td>0.940000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-2112.0</td>\n",
       "      <td>0.5780</td>\n",
       "      <td>2.94000</td>\n",
       "      <td>0.8790</td>\n",
       "      <td>0.787000</td>\n",
       "      <td>1.2500</td>\n",
       "      <td>0.8170</td>\n",
       "      <td>0.940000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2112.0</td>\n",
       "      <td>0.4870</td>\n",
       "      <td>1.24000</td>\n",
       "      <td>5.5300</td>\n",
       "      <td>0.007940</td>\n",
       "      <td>61.4000</td>\n",
       "      <td>61.4000</td>\n",
       "      <td>0.940000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>22.0</td>\n",
       "      <td>0.1290</td>\n",
       "      <td>-3.03000</td>\n",
       "      <td>1.8000</td>\n",
       "      <td>0.329000</td>\n",
       "      <td>0.4010</td>\n",
       "      <td>0.4010</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>22.0</td>\n",
       "      <td>0.2170</td>\n",
       "      <td>-3.12000</td>\n",
       "      <td>2.5800</td>\n",
       "      <td>0.152000</td>\n",
       "      <td>1.4400</td>\n",
       "      <td>1.4400</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0390</td>\n",
       "      <td>0.57200</td>\n",
       "      <td>0.3810</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>0.0419</td>\n",
       "      <td>0.0419</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>22.0</td>\n",
       "      <td>0.1370</td>\n",
       "      <td>-1.24000</td>\n",
       "      <td>1.3100</td>\n",
       "      <td>0.525000</td>\n",
       "      <td>0.2740</td>\n",
       "      <td>0.2740</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22.0</td>\n",
       "      <td>0.1440</td>\n",
       "      <td>1.52000</td>\n",
       "      <td>5.4900</td>\n",
       "      <td>0.008250</td>\n",
       "      <td>17.5000</td>\n",
       "      <td>17.5000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0281</td>\n",
       "      <td>-1.78000</td>\n",
       "      <td>4.7900</td>\n",
       "      <td>0.016700</td>\n",
       "      <td>1.6900</td>\n",
       "      <td>1.6900</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>22.0</td>\n",
       "      <td>0.2080</td>\n",
       "      <td>3.05000</td>\n",
       "      <td>0.0303</td>\n",
       "      <td>1.540000</td>\n",
       "      <td>0.2080</td>\n",
       "      <td>0.2080</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0910</td>\n",
       "      <td>-2.90000</td>\n",
       "      <td>-0.8650</td>\n",
       "      <td>2.340000</td>\n",
       "      <td>0.1270</td>\n",
       "      <td>0.1270</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0769</td>\n",
       "      <td>-3.02000</td>\n",
       "      <td>-0.3090</td>\n",
       "      <td>1.880000</td>\n",
       "      <td>0.0806</td>\n",
       "      <td>0.0806</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>22.0</td>\n",
       "      <td>0.3040</td>\n",
       "      <td>-2.31000</td>\n",
       "      <td>-0.8560</td>\n",
       "      <td>2.340000</td>\n",
       "      <td>0.4220</td>\n",
       "      <td>0.4220</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0510</td>\n",
       "      <td>-1.55000</td>\n",
       "      <td>0.2170</td>\n",
       "      <td>1.360000</td>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>22.0</td>\n",
       "      <td>0.2270</td>\n",
       "      <td>-2.73000</td>\n",
       "      <td>-0.3560</td>\n",
       "      <td>1.920000</td>\n",
       "      <td>0.2410</td>\n",
       "      <td>0.2410</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        ID      pT      phi     eta     theta    Energy  momentum      mass\n",
       "0     11.0  8.6400  0.88400 -4.6900  3.120000  470.0000  470.0000  0.000511\n",
       "1    211.0  0.1630 -1.97000  5.8000  0.006030   27.1000   27.1000  0.140000\n",
       "2   -211.0  0.5270  2.27000  7.6900  0.000913  577.0000  577.0000  0.140000\n",
       "3    211.0  0.3880  0.94200  6.4800  0.003080  126.0000  126.0000  0.140000\n",
       "4   -211.0  0.2670  0.62600  5.7900  0.006120   43.7000   43.7000  0.140000\n",
       "5    211.0  0.7120 -0.97800  4.3600  0.025500   27.9000   27.9000  0.140000\n",
       "6   -211.0  0.1870  1.35000  4.3800  0.025000    7.4700    7.4700  0.140000\n",
       "7    211.0  0.2100  0.57100  4.2400  0.028900    7.2600    7.2600  0.140000\n",
       "8   -211.0  0.5310 -0.90000 -1.0500  2.470000    0.8600    0.8490  0.140000\n",
       "9    211.0  0.3460 -0.30100  0.0678  1.500000    0.3740    0.3470  0.140000\n",
       "10  -211.0  2.4200 -2.09000 -1.9000  2.850000    8.2800    8.2800  0.140000\n",
       "11   321.0  6.3100 -2.25000 -1.8400  2.830000   20.4000   20.4000  0.494000\n",
       "12   211.0  0.2350 -0.00341  4.0400  0.035300    6.6600    6.6600  0.140000\n",
       "13  -211.0  0.4690 -3.14000  3.6700  0.051000    9.2100    9.2100  0.140000\n",
       "14  2112.0  0.2340  1.25000  3.1900  0.082200    3.0000    2.8500  0.940000\n",
       "15 -2112.0  0.5780  2.94000  0.8790  0.787000    1.2500    0.8170  0.940000\n",
       "16  2112.0  0.4870  1.24000  5.5300  0.007940   61.4000   61.4000  0.940000\n",
       "17    22.0  0.1290 -3.03000  1.8000  0.329000    0.4010    0.4010  0.000000\n",
       "18    22.0  0.2170 -3.12000  2.5800  0.152000    1.4400    1.4400  0.000000\n",
       "19    22.0  0.0390  0.57200  0.3810  1.200000    0.0419    0.0419  0.000000\n",
       "20    22.0  0.1370 -1.24000  1.3100  0.525000    0.2740    0.2740  0.000000\n",
       "21    22.0  0.1440  1.52000  5.4900  0.008250   17.5000   17.5000  0.000000\n",
       "22    22.0  0.0281 -1.78000  4.7900  0.016700    1.6900    1.6900  0.000000\n",
       "23    22.0  0.2080  3.05000  0.0303  1.540000    0.2080    0.2080  0.000000\n",
       "24    22.0  0.0910 -2.90000 -0.8650  2.340000    0.1270    0.1270  0.000000\n",
       "25    22.0  0.0769 -3.02000 -0.3090  1.880000    0.0806    0.0806  0.000000\n",
       "26    22.0  0.3040 -2.31000 -0.8560  2.340000    0.4220    0.4220  0.000000\n",
       "27    22.0  0.0510 -1.55000  0.2170  1.360000    0.0522    0.0522  0.000000\n",
       "28    22.0  0.2270 -2.73000 -0.3560  1.920000    0.2410    0.2410  0.000000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Event_Particles = pd.DataFrame(particles, columns=['ID','pT','phi','eta','theta','Energy', 'momentum','mass'])\n",
    "Event_Particles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Event_Particles['Energy'].plot.hist()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lets take a look at the scattered electron - \n",
    "this is saved as the 6th line in the pythia output "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "electron_in = pythia.event[4].p()\n",
    "electron_out = pythia.event[6].p()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lets study some of the scattering kinematics   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " *-------  PYTHIA Event and Cross Section Statistics  -------------------------------------------------------------*\n",
      " |                                                                                                                 |\n",
      " | Subprocess                                    Code |            Number of events       |      sigma +- delta    |\n",
      " |                                                    |       Tried   Selected   Accepted |     (estimated) (mb)   |\n",
      " |                                                    |                                   |                        |\n",
      " |-----------------------------------------------------------------------------------------------------------------|\n",
      " |                                                    |                                   |                        |\n",
      " | f f' -> f f' (t-channel gamma*/Z0)             211 |          65         11         11 |   9.121e-05  1.281e-05 |\n",
      " |                                                    |                                   |                        |\n",
      " | sum                                                |          65         11         11 |   9.121e-05  1.281e-05 |\n",
      " |                                                                                                                 |\n",
      " *-------  End PYTHIA Event and Cross Section Statistics ----------------------------------------------------------*\n",
      "\n",
      " *-------  PYTHIA Error and Warning Messages Statistics  ----------------------------------------------------------* \n",
      " |                                                                                                                 | \n",
      " |  times   message                                                                                                | \n",
      " |                                                                                                                 | \n",
      " |      0   no errors or warnings to report                                                                        | \n",
      " |                                                                                                                 | \n",
      " *-------  End PYTHIA Error and Warning Messages Statistics  ------------------------------------------------------* \n"
     ]
    }
   ],
   "source": [
    "Number_of_events = 10\n",
    "\n",
    "delphi = []\n",
    "deleta = []\n",
    "scattered_pT = []\n",
    "photon_pT = []\n",
    "\n",
    "# Begin event loop. Generate event. Skip if error.\n",
    "for iEvent in range(0, Number_of_events):\n",
    "    if not pythia.next():\n",
    "        continue\n",
    "    proton = pythia.event[1].p()\n",
    "    electron_in = pythia.event[4].p()\n",
    "    electron_out = pythia.event[6].p()\n",
    "    photon = electron_in - electron_out\n",
    "    deta = photon.eta()\n",
    "    dphi = photon.phi()\n",
    "    if dphi > 3.1415:\n",
    "        dphi = 6.2832 - dphi    \n",
    "    delphi.append(dphi)\n",
    "    deleta.append(deta)\n",
    "    scattered_pT.append(electron_out.pT())\n",
    "    photon_pT.append(photon.pT())\n",
    "\n",
    "delphi = np.array(delphi)\n",
    "deleta = np.array(deleta)\n",
    "scattered_pT = np.array(scattered_pT)\n",
    "photon_pT = np.array(photon_pT)\n",
    "# End of event loop. Statistics. Histogram. Done.\n",
    "pythia.stat()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1., 1., 3., 1., 2., 0., 0., 0., 0., 2.]),\n",
       " array([ 3.03022024,  4.02050703,  5.01079382,  6.00108061,  6.99136741,\n",
       "         7.9816542 ,  8.97194099,  9.96222778, 10.95251457, 11.94280137,\n",
       "        12.93308816]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(scattered_pT)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "electron_in = pythia.event[4].p() # 4 vector\n",
    "electron_out = pythia.event[6].p()\n",
    "photon = electron_in - electron_out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "radii = [0, 100, 200, 300, 400, 500, 600]\n",
    "r_labels = ['$0$','$100$','$200$','$300$','$400$','$500$','$600$']\n",
    "angles = [0, 2.09858297, 5.70047087, 15.4146268, 40.3950626, 90, 139.604937421, 164.585373193, 174.299529125, 177.90141703, 180]\n",
    "eta_labels=['','','3','2','1','0','-1','-2','-3','','']\n",
    "nr = 600\n",
    "ntheta = 90"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "470.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10,10))\n",
    "plt.rcParams['font.size'] = '15'\n",
    "\n",
    "ax1 = fig.add_subplot(111, polar=True)\n",
    "\n",
    "r_edges = np.linspace(0, nr, 30)\n",
    "theta_edges = np.linspace(0, np.pi, ntheta + 1)\n",
    "H_e = plt.hist2d([Event_Particles.iloc[0]['momentum']], [Event_Particles.iloc[0]['theta']], [r_edges, theta_edges])[0]\n",
    "ax1.cla()\n",
    "\n",
    "Theta, R = np.meshgrid(theta_edges, r_edges)\n",
    "im_e = ax1.pcolormesh(Theta, R, H_e, cmap='Blues')\n",
    "ax1.set_thetagrids(angles, labels=eta_labels, fontsize=15)\n",
    "ax1.set_xlabel('p [GeV]')\n",
    "ax1.xaxis.set_label_coords(0.8, 0.2)\n",
    "ax1.grid(color='grey')\n",
    "im_e.set_clim(0,1)\n",
    "ax1.set_thetamax(180)\n",
    "fig.suptitle('Scattered electron', y=0.75)\n",
    "print(Event_Particles.iloc[0]['momentum'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.75, 'Other final state particles')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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y8/MV++7cuSPs2bNHmDFjxkN/FoiIqGVjeCVqJT788EPFG8ns7Oynvt9nn32muN+VK1cU2xsbXh8V6gRBEN566y3Fm9i/+8c//qEIrveH5/tt3rxZ0SL692Pub9HJysp68gN+BGWFVwDCwYMHH9hfUVGhCCv//ve/G13fiBEjBADCZ5999sC+pobXdevWCQAELy+vRt3vWVp67/fqq68KAIQ5c+Y0+RrdunV75Acj9epbFMeMGdOo+u4Pr15eXg9tId23b5/imPXr1zfq/ImJiYoPJe7du9dg3/2vRxcXl0f2WhCEZw+vqampig8x3n333aeu/3E/M9u3bxcACLa2to/8fZSVlaVoIU9JSVFs/+KLLwQAwpAhQ566FiIi0gwc80rUSuTn5yu+ftjSN49iaWn50HM0Rf0Y2r8bM2YMAODKlSsNJkYSBAHLli0DALz99tvQ1n746l5jx46FiYkJ7ty5g5MnTz70mOnTp8PR0fFZyleK3r17P3T9XD09PQwdOhQAcObMmUafd8SIEQCAuLi4ZyvwPvXLH5WUlKCsrExp531az/qYTp8+jcTEROjo6ODtt99+5HHPPfccAGD//v2oqalp0rXeeecdGBgYPLA9ODgYvXr1AgBERkY26pwBAQGwtrZGWVkZTp069cjj5s6d26yTiP3xxx+ora2FhYWFYqzxs1q6dCmAup9LBweHhx7j6Oio+FnZs2ePYnv96zIvL6/J3y8iImqZuM4rET2WIAhKOU+bNm3g6en50H329vaKrwsKCmBoaAgAuHDhgmIyoJkzZ0IqffTnbaWlpQCA69evo0ePHg/s7927d5NrV6aH1Vav/nmof8x/d/r0afzyyy+Ii4tDRkYGSktLH/j+3L9277Pq3r07LC0tcevWLfTo0QMvvfQSgoOD4e3t/VSTXT2N9PR0/Pjjj4iJicHVq1dRUlKC2traBsc09THVh97a2lp4e3s/8rj6AFRWVob8/HxYW1s3+loDBw587L5jx44hKSnpgX1VVVVYtmwZNm/ejHPnzuHu3buorKx84LjHPQfN/do+duwYAGDw4MHQ19dXyjnrvze//vorVq5c+cjjioqKANT9XNcLDg6Gvr4+UlJS0LdvX8yZMwcDBw5sMIkcERFpJoZXolbi/tbW/Pz8R7Z2/F1TW2z/ztjY+JH77m9RvX920Zs3byq+zsvLe6rr3N9ye7+mBJLm8DTPw8NmWF2yZAneeOMNRbCTSCQwNTWFnp4eAODevXsoLi5WagupmZkZ1q5di6lTp+L8+fN47bXXAACmpqbo168fJk2ahMmTJz90zdunsWXLFkyZMqVBWDMxMYG+vj4kEgmqqqpQUFDQ5MdU//qpqanB7du3n+o+j3r9PMnjfp7q9/19veTc3FwEBwfj7Nmzim36+vqwtLSElpYWgLrXfW1t7WOfg+Z+bdevb+zi4qKU81VXV+POnTsA6sJpfUB9nPu/L+7u7li6dCleeuklHD9+HMePHwcAWFlZYcCAAZg6dSpGjx6ttA9YiIhIfbDbMFEr0b59e8XXycnJT32/lJQUAHVrmyrrzevTur9LYE5ODoS6cfqPvT1smRoAijDQEl28eBHz5s1DbW0tJk6ciBMnTqCiogIFBQXIyclBTk4OvvnmGwDKaymvFxwcjGvXrmHlypWYMWMG2rZti6KiIkRHR2P69Ono0qULbty40ejz5ufnY+bMmaisrMTAgQMRGxuL8vJyFBUV4fbt28jJycGGDRueqfb614+Pj89TvXYEQWiw9FFze/PNN3H27FlYWFhg2bJluHXrFu7du4e8vDzF97W+Nf5x31dVvbaVFQbv/7mOjIx8qu/L35fvCQ8Px/Xr1/Hzzz9j8uTJcHJyQl5eHtavX4+xY8eif//+KC4uVkq9RESkPhheiVqJAQMGKLrdbtq06anuU1pain379gEA+vbt+8gxp83F1tZW8fX9rVOtzcaNG1FTU4N27dohMjIS3bp1g66uboNj6lvHmoNMJsP06dOxYsUKpKWlITs7G1988QX09fUbtMg2xs6dO1FcXAxzc3NER0ejf//+D4wZfdbHVP/6SU9Pb/Yxu48L8PX77m8hra6uxubNmwHUtarPmjWrwesdqAt59S2UYrKzswOABmvCPgt9fX2YmpoCeLaf6zZt2uDFF19EZGQkMjMzceXKFcyfPx8SiQRHjhzBggULlFIvERGpD4ZXolbCzs5OMTFSZGQkUlNTn3ifb7/9FiUlJQCAV155pcG++8efKru1r56vry9MTEwANH6yG02SlZUFAOjUqdMjx/3u379fZfU4ODjg3XffVUyCVP8BR736Gh/3uqh/TN7e3ooxzn/3uMf0NNeoHwtaVVWFLVu2PPI4ZYiJiXnivoCAAMW2vLw8VFRUAAC6dOny0PvFxcUpjnkWT/NcPU79hFP79u1TSj3A/39vNmzY8MAY56by8PDAwoULMXXqVAAPvi6JiKjlY3glakU+++wzGBgYoLKyEhMnTnxsq86uXbvw73//G0Bdq239zK/16kMlABQWFjZLvdra2pg9ezaAuhlPnzTr7KMmOmrp7m+lelgA2bVrF2JjY5V+3YdNHHS/+pbSv3dbrX9tPO51Uf+Y0tLSHhqITp06hTVr1jzy/k9zjYCAAEUw/PDDD584bvpZXj9fffXVQx9HTEwMjh49CgCYPHmyYruJiYmiG+7p06cfuJ9cLseHH37Y5Hru9zTP1ePMnDkTWlpayM/PxyeffKKUml544QUAdd//L7/88rHHlpWVoaqqSvHvpr4uiYio5WN4JWpFOnTogKVLl0JLSwtnz55Fly5dsGzZsgZvatPS0vDWW29h9OjRqKqqgru7O9asWfPAeDczMzPFRDTLly+HXC5vlpo//vhjeHh4QC6XY9iwYfjmm28ahJCioiLs3r0bM2bMQN++fZulBrENGzYMAHD+/Hm8+uqripBVVlaGX375BRMmTHimybQe5YsvvkBISAj+/PPPBrPdVlZWYv369YrQMXz48Ab38/X1VdRbP1Pt3w0ZMgRSqRR3795FeHi4omttVVUV1q9fjyFDhjx2cqunuYZEIsHPP/8MPT09ZGZmokePHti4cWODyX9u3LiBVatWYfDgwXjvvfee9JQ80q1btzBixAhFjwa5XI6NGzdiwoQJAAB/f3+MGzdOcbyRkZGi9fGtt97CwYMHFS2Q586dw/Dhw5GUlASZTNbkmurVP1c7d+5s0vhkT09PvPPOOwCA//3vf4iIiMDly5cV+/Py8rBu3TqEhoY+9TnHjBmjOH7+/Pl4+eWXkZaWpthfVVWFhIQEvPfee3BxcWkw2dXcuXMxadIkbNq0qcH20tJS/Pzzz4rZi//+uiQiIg3QnIvIEpF62rVrl2Bvby8AUNxMTU0FfX39BtuGDBki5ObmPvI8n332meJYPT09wcnJSXBxcREmT56sOGb58uUCAMHFxeWR57l27ZriPNeuXXtgf3p6utCpU6cGtZmZmQkmJiYNtnl6ej5w3/p9MTExjXmKGl2jIAjCjBkzBADCjBkzHtjXv39/AYDwySefPPIan3zyiQBA6N+//wP7wsLCHnj8WlpaAgCha9euwvfff//I5/lx532c+vvV3wwMDIQ2bdoIEolEsa1du3bCrVu3Gtyvurpa8Pb2Vhxjbm4uuLi4CC4uLsKGDRsUx7333nsPvAZ1dHQEAIKbm5uwevVqxb6/e9prCIIg7N27V7CwsFAcq6WlJVhYWAiGhoYNrh8REdGo5ycmJkZx36ioKEXtpqamgp6enmKfs7OzkJ6e/sD9k5KSBJlM1uBnyNjYWAAgaGtrCytXrhRcXFwEAMLy5csb3PdpXo/10tLSFD/bUqlUsLGxUTxXWVlZiuMedS1BEAS5XC68+uqrDZ4vIyOjBs+hqalpo2osKyt74HUtk8kEc3NzQSqVNtienZ2tuF/9z9n9dZiZmTXY1qdPH6G0tPSxzwsREbU8bHklaoWGDRuGK1eu4Mcff0RISAgcHBxQUVEBHR0deHl5Yc6cOdi/fz/27NkDKyurR57ngw8+wHfffYeAgADo6OggOzsb169fV/rkQW5ubkhKSsLKlSsxcuRI2NnZKboSurm5ITQ0FMuWLVMsmaGJVq9ejUWLFsHPzw96enqoqalBx44dsXDhQhw9ehRGRkZKv+YLL7yAX3/9FVOmTIGvry8MDQ0Vkyz17dsXixYtQnJy8gMTDWlra+PAgQOIiIiAq6srysrKcP36dVy/fl2xHi8A/Pe//8XKlSvRvXt3GBgYoLq6Gp6envjggw+QkpLSYP3fv3vaawB165NeuXIFCxcuRJ8+fWBqaorCwkJIpVK0b98ec+bMwbZt2/D99983+bkaM2YMjh07hvHjx0NfXx+CIMDNzQ1vv/02Tp069dA1SLt27YoTJ05g0qRJsLS0RG1tLYyNjTFp0iQcO3YM06dPb3I992vbti1iYmIwevRoWFlZIT8/X/FcPW2PCS0tLSxZsgRxcXEIDw+Hs7Mzqquroauriw4dOmDOnDlPPRFcPUNDQ6xduxYxMTGYPn063N3dUVtbi9LSUlhbW2PgwIH43//+h8uXLzdYiujjjz/G4sWLERoaCh8fH2hrayvuM3jwYCxbtgyxsbFKabUmIiL1IhGEZppphYiISIPFxsZiwIABAJpv0jIiIiL6f2x5JSIiIiIiIrXH8EpERERERERqj+GViIiIiIiI1B7DKxEREREREak9TthEREREREREao8tr0RERERERKT2GF6JiIiIiIhI7TG8EhERERERkdpjeCUiIiIiIiK1x/BKREREREREao/hlYiIiIiIiNQewysRERERERGpPYZXIiIiIiIiUnsMr0REpBYqKirwySefwMvLC/r6+rC3t8fs2bORnZ0tdmlERESkBiSCIAhiF0FERK1bRUUFBg0ahGPHjsHOzg59+/ZFRkYGTpw4ASsrKxw/fhweHh5il0lEREQiYssrERGJ7vPPP8exY8cQGBiItLQ0rFu3DgkJCfj666+Rl5eH2bNni10iERERiYwtr0REJKrq6mpYW1ujsLAQycnJ6NKlS4P9nTp1wpkzZ5CUlISuXbuKVCURERGJjS2vREQkqri4OBQWFsLDw+OB4AoAEyZMAABER0erujQiIiJSIwyvREQkqtOnTwMA/P39H7q/fnv9cURERNQ6MbwSEZGoMjMzAQCOjo4P3V+/vf44IiIiap0YXomISFSlpaUAAENDw4ful8lkDY4jIiKi1onhlYiIRFU/b6BEInnsfiIiImrdGF6JiEhUxsbGAICysrKH7i8vLwcAGBkZqawmIiIiUj8Mr0REJCpnZ2cAQHZ29kP312+vP46IiIhaJ4ZXIiISVadOnQAAycnJD91fv93Pz09lNREREZH6YXglIiJR9e7dG6amprh69SpSUlIe2L9x40YAwMiRI1VdGhEREakRhlciIhKVrq4u5s6dCwCYO3dug7Gv33zzDc6cOYM+ffqgW7duYpVIREREakAicBpHIiISWUVFBYKCgpCQkAA7Ozv07dsX169fR0JCAiwsLBAfHw9PT0+xyyQiIiIRMbwSEZFauHfvHhYuXIg1a9YgKysL5ubmGDZsGD777DM4OTmJXR4RERGJjOGViIiIiIiI1B7HvBIREREREZHaY3glIiIiIiIitcfwSkRERERERGqP4ZWIiIiIiIjUHsMrERERERERqT2GVyIiIiIiIlJ7DK9ERERERESk9hheiYiIiIiISO0xvBIREREREZHaY3glIiIiIiIitcfwSkRERERERGpPW+wCiIiodRIEAbW1taipqUFtbW2Dm0QigVQqfehNIpGIXToRERGJgOGViIgeSRAElJaWorS0FCUlJYrb/f9+2n2lpaUoLy9XBNSmqg+2WlpaMDIygrGxMYyNjZ/q60ftMzExgZ6enhKfOSIiIlI2iSAIgthFEBGRagmCgIKCAty8eRO3bt164P/3f11RUQEA0NfXh0wmg0wmg5FMBgNDQ8gMDSGTGUJmKIOBoQGMZDLIZIZ//V8GY5kMJiYmMDE2homxEYyNZNDS0oaWlrTuJtWqa1HV0oKOdt32qupq/LR8FV56biqk2lqoqalF7V+ts9Vyed2/hRpUVVajuLQURUXFKC4pQUlpKUrLylBSWoaysjKUlZah/F45ysrLUVZWjnv36v5fVl5W9/+yMpSWlqKmpgYAYG5uDjs7O9jb2z/0//U3Q0NDMb91RERErRZbXomINExZWRnS09MfG0xv3bqFyspKGBkZwdrKCtbW1rC0tIC1pRU83VzQp2cP2NnawMXJEY72drBoYw59fX2V1F9ZWQl9fX3Y2to0e2tobW0tSkvLcDsvD9ezspF94yZu5uTgdm4eMjMycDIpEXl37iAvNw+5eXmQy+UwNTV9aLCt/9rR0REuLi7Q0tJq1tqJiIhaG4ZXIqIWSC6XIyMjA2lpaUhNTUVaWprilp2dDSMjI9jY2MDK0hJWVpawsrSEt6cH+vcOhIOdHZwc7eHu6gpLizZiPxRRSaVSmJgYw8TEGG093B97bE1NDTKzbiAjMxOZ2TdwM+c2bt++jRtZmTiVkoy8vDvIu3MHt2/fhlQqhYeHB7y9veHl5aW4eXt7w8rKiuN2iYiImoDhlYhITQmCgNu3bz8QTlNTU3H16lVIJBK4urjA1dUFrs7OCB7QH3NfiEAn3/ZwdXGGVMoJ5ZVJS0sLbq7OcHN1fuxxVVVVOH32PM5euIjLV6/i2rVrOHzoEDKuX0dOTg5MTU0VQfb+YOvl5QWZTKaiR0NERNTycMwrEZHIamtrcfXqVSQnJ+PSpUsNWlNLSkrg4OAAVxcXuDg7wc3VFd5tPeHbzgcd2nlDV1dX7PKVrrKyEv9d/BPmv/6yxk2idPfuXaScOYvzl9Jw+Wo6rl/PxPWsTGRkXEdxcTEcHBwatNJ26NABXbt2hYWFhdilExERiY7hlYhIhWpra3HlyhWcPHlScUtOTkZlZSW8vdrC3d0dbi4u8HB3Q3sfb/j7+cLU1FTsslVKk8Pro9TW1iIz+waST53BpcuXkX4tAxkZ13H5yhVkZmXBxcUFXbt2RUBAALp27cpAS0RErRK7DRMRNZPHBlVvL7Tz8cHgAUH4+J230atnN5VNiETqRyqVwtXZCa7OTg/su5mTg9gjR3Ey5TRiYw7ip59+QhYDLRERtUJseSUiUoK/B9WkpCSkpKT81aJaF1Q7dmiPnt0C0JtB9bFaY8trY93MyUHs4aM4mXIK5y5exMVLqQ0C7f2hloGWiIg0BcMrEVETlJWV4dixY4iNjcXRo0cfElR90LNbN/Tu2Z1BtZEYXpvmZk4OYg7H4WTyKZy/eAkXUy8hKysbLi4uCAgIQL9+/RAUFARfX19O5kVERC0SwysR0VMoLy9XhNWYmBicOHEC1tZW6Na1KwL8uyCwewB69+zBoKoEDK/KUx9oTyQlIyk5GadOn4GBgQH69++PoKAgDBgwAO3bt2eYJSKiFoHhlYjoIe7du4fjx48jJiYGsbGxSEhIgKWlBbp1DUCP7gEYPngQ/Hw78E1/M2B4bT4VFRXYc+AgDsQeQeLJZJw+cwYymQxBQUGKW/v27bkOLRERqSWGVyIi1L2pP378uKJlNSEhAebm5gjo2hWB3QMwLHgQunTqyLCqAgyvqnPv3j3s2ncABw8dRlLyKZw+cwbGxsaKIDtgwAD4+PgwzBIRkVpgeCWiVqmiogIJCQmKltX4+HiYmpoioGtX9OwWgJDBg+Df2Y9hVQQMr+IpKyvD7n0HcfBwXcvsmbNnYWpqqgiyQUFB8Pb2ZpglIiJRMLwSUauRl5eHHTt2YNu2bdi7dy8MDQ3R1d8fgd0DMDR4ILr5d2FYVQMMr+qjrKwMu/YdwIHYw0hKTsGZs2dhb2+PUaNGYfTo0ejXrx90dXXFLpOIiFoJrvNKRBpLEARcunQJ27ZtQ3R0NOLj49G+nQ/69+uLbRsiEdS3N8Mq0WPIZDJMGDsaE8aOBgAUF5dg3eYt2LXvAKZOmYLKqiqEhIRg9OjRCAkJgbm5ucgVExGRJmPLKxFpFLlcjqNHj2Lbtm3Ytm0bsrOz0L1bNwwM6o8pE0Lh5ekpdon0BGx5bRlqamqw90AMNm3bjiNxR5F+7Rr69u2L0aNHY9SoUfDw8BC7RCIi0jAMr0TU4hUXF2PPnj3Ytm0bduzYAalUir59emNo8CBMDh0Dc3MzsUukRmB4bZnOnL+ANes3IvbwESSnnELbtm0xevRojB49Gt27d4eWlpbYJRIRUQvHbsNE1CJdv34d0dHR2LZtG2JjY+Hi4oz+fftixa8/YcTQwXyjTKRifh3aw+/TfwIA8vLuYNX6jdi7/wB+/PFH6OnpKcbJBgcHQyaTiVwtERG1RGx5JaIW48qVK1i9ejW2bNmC8+fPo0vnThjQvx8mhY5F1y6dxC6PlIQtr5qlqqoKUdt3YuuOXTgSdxR5d+5g0KBBmDRpEkJDQ2FsbCx2iURE1EIwvBKRWsvLy8O6deuwatUqpKSkoHevQAwfOgRTJ42Hva2t2OVRM2B41Vy1tbVISDyJ1es3YO/+g8jKzkZoaCjCw8MxZMgQ6OjoiF0iERGpMXYbJiK1U1ZWhm3btmHVqlXYt28fOvr6YtTwEGxatQIO9nZil0dETSSVShHYoxsCe3QDAMQeOYrfV67CnDmzIZfXYMqUKQgPD0ePHj24liwRET2A4ZWI1IJcLsfBgwexatUqbN68GTbW1hgRMgwL42Lg5+srdnlE1AyC+vZGUN/eqKmpwYaobVi9bj0GDx4Ma2trTJ8+HeHh4Wjbtq3YZRIRkZpgeCUi0QiCgJMnT2L16tVYu3YtamtrMSR4ELZErsagoH5cg5WoldDS0kLY+FCEjQ9FaWkplv25BhujtuHzzz9H586dMW3aNISFhcHa2lrsUomISEQc80pEKpeeno41a9Zg1apVyM7KQlBQf0z+640rx7wRx7xSvZs5Ofh56XJs27EL5y9cQHBwMKZNm4axY8dyxmIiolaIzRpEpBIFBQX46aef0Lt3b/j4+GDP7t14YfZM3LhyEds3rMX0sEkMrkTUgL2tLf710fs4dfwwTh47DFdnR3z04YeKbsV79uxBbW2t2GUSEZGKsNswETWr5ORk/Pjjj1izZg083N0xekQI1i77Fc5OjmKXRkQtiF+H9vjp269QW1uLg4cOY+kfqxE+dSqMTUzwyiuvYNasWbC0tBS7TCIiakZseSUipauoqMDKlSvRs2dP9O3bF3fv5GHbhrU4e+Io/vPJRwyuRNRkUqkUwQOCELniN2RfvoDXX34Rq1etgqOjI2bMmIGEhARwRBQRkWZieCUipUlPT8e7774LR0dHLFjwCQb064P0C6exec1KBA8IErs8ItIw+vr6eHPuyzh1/DD2b9+KkqJCDBw4EP7+/vj9999RXl4udolERKREDK9E9ExqamqwY8cODB8+HD4+PjiZmIjvv/4SV84kY+GCj2FjZSV2iUTUCvTp1ROb16xEVuo5DB8SjP/859+wt7PDm2++ibS0NLHLIyIiJWB4JaImycvLwxdffAEPDw/MmjULTvZ2OJd0HAd2RGHKxHFc5oaIRNGmTRv855OPcOVMMn7/+UecOXUKvr6+CA4ORlRUFORyudglEhGppfLyckRFRWHOnDnw8/ODiYkJZDIZOnXqhH/9618oLS1t9DkLCwsxb948uLi4QE9PDy4uLnjjjTdQWFjYpBq5VA4RPTVBEBAfH48ff/wRGzZsQEdfXzw3NQzPz5wOfX19scsjDcGlckjZ0q9l4H/ffY8tW6Ohra2Nl19+GREREbC1tRW7NCIitbF06VI8//zzAIAOHTqgffv2KC4uxrFjx1BSUgIfHx8cOnToqdfczs/PR2BgIC5fvgx3d3cEBATg/PnzOH/+PDw9PREfHw8LC4tG1cimESJ6orKyMvz222/w79IFQ4YMQVXFPcTs2o7Ewwfw2kvPM7gSkVpzd3PFz4u+RnbaeXz03jvYGrUFzs7OmDx5Mg4dOsQJnoiIAOjq6uLll19GWloazp07h/Xr12P37t1ITU1Fly5dcOnSJcybN++pz/fmm2/i8uXLGDduHFJTU7Fu3TqcO3cOr732Gq5cuYK33nqr0TWy5ZWIHik/Px+LFy/G4sWLYW1lhbCJ4zHvlZdgbm4mdmmkwdjySqqQlHwKX333PXbt2Qt3Dw988MEHGDduHLS0tMQujYhI7Rw/fhy9evWCnp4eiouLoaur+9jjc3Jy4ODgAC0tLWRlZcHGxkaxr7KyEk5OTrh79y5u3LjRYN+TsOWViB6QnZ2NN998Ey7Ozti1cyd+XPQ1LiYn4NMP5zO4EpFGCPDvjMg/fkdm6jkM7N8Xr776Kny8vfH777+jqqpK7PKIiNRKp06dANQFz/z8/Ccev2vXLtTW1qJfv34PhFM9PT2MGjUKNTU12LVrV6PqYHglIoXU1FTMmTMHnp6eOJWSjA2rV+LEof2YMnE8J2AiIo1kamqKrz//DNcvnsH0qWH4dMECuLq44Ntvv23S5CRERJooPT0dAKCjo4M2bdo88fjTp08DAPz9/R+6v357/XFPi+9GiQjJycmYOHEi/Pz8kHPrJmJ2bUfMzm0IGRIsdmlERCphYGCAf85/B9cunMb8f7yFn378EU5OTvj0009x9+5dscsjIhLVd999BwAYNmzYUw3pyczMBAA4Ojo+dH/99vrjnpZ2o44mIo0hCAIOHTqEhZ9/jiNxcRg5YjiSjx1Bh3beYpdGRCQaLS0tvP7yC5j7YgRWr9uIrxcvwRdffIGXXnoJb7/9NhwcHMQukYhamIqKClGGIwiCAIlE0mCbnp5eo+eT2LlzJ37//Xfo6Ojgs88+e6r71PdcMTQ0fOh+mUzW4LinxfBK1MrU1tZi+/bt+Pzzz3HhwgVMGBeKSymJcHZ6+CdjREStkVQqxfQpkzB9yiRs370Xn3/5Ndzdf8D06dPx3nvvoW3btmKXSEQtQEVFBSwMDFEO1c+Ra2Rk9EA4/OSTT7BgwYKnPsfFixcxbdo0CIKAL7/8UjH29Unq5wT+e3j++/7GYnglaiXkcjkiIyOxcOFC5ObextTJk7B9w1pYWjx53AIRUWs2ctgQjBw2BEfjT2DBf/4LX98OGDN6DN7/4AN06dJF7PKISI1VVVWhHAKmQwZdPDzINct1IeDP0lJkZWXBxMREsb0xra7Z2dkYNmwYCgoK8NZbb+GNN9546vsaGxsDqFtu8WHKy8sB1AXsxuCYVyINd+/ePfz444/w9PTE/PnzMW70SFw7fxrf/W8hgysRUSP07tkd+6I3IzHuEKqrKhEYGIihQ4bg8OHDXCuWiB5LH1LoS1R4+yvmmZiYNLg9bXi9c+cOBg8ejMzMTMyaNQtfffVVox6vs7MzgLoA/DD12+uPe1oMr0Qaqrq6Gr/88gvc3d3xzddf49WXnkf6uRR89vEHjf6Ui4iI/p9fh/bYsvZPXDqVBGtLCwwfPhxBQUFISEgQuzQiomdWUlKCkJAQXLp0CePGjcNvv/32yO6/j1LfvTg5Ofmh++u3+/n5Neq8DK9EGqa2thbr169H+/bt8Z///Afv/+NNpJ1Owjuvz33igtJERPT0XJ2d8OfSn3HlbDKcHOwQ1L8/QkNDcenSJbFLIyI1IxXh1hSVlZUYM2YMkpKSMHToUKxduxZaWlqNPs+wYcMglUpx5MgR5ObmPnCN6OhoSKVShISENOq8DK9EGmT//v3o1q0bXn31VUyZOB5XzpzE6y+/yDVaiYiaka2NDVYt/QVnEo9DXlWJTp06Yc6cOY/sLkdErY9EAkhVeGtkQykAoKamBlOmTEFMTAz69u2LzZs3P7HhY8mSJfDx8cH777/fYLudnR2mTJmCqqoqvPLKK5DL5Yp97777LvLy8jB16lTY2to2qkZO2ESkAZKSkjD/vfdwIjERM8KnImbHVpiYGItdFhFRq9LWwx3RG9YiKfkU3nr/Q3h6euK1uXPx/gcfoE0bzjFA1Jo9S2toU6/XWEuWLMGWLVsAAJaWlnjllVceetxXX30FS0tLAHVjY1NTU3Hr1q0Hjlu0aBHi4+OxadMm+Pj4ICAgAOfPn8e5c+fg4eGBb7/9ttE1MrwStWBpaWn46KOPEB0dXbfkzalE2DfyEywiIlKuAP/OOLxnB/YciMH8jxfgl19/wfz572PevHmPXPOQiDSbVCKBtCnNoU29HoDGrs5TUFCg+Lo+xD7MggULFOH1cSwtLZGYmIhPPvkEUVFR2LJlC2xsbDB37lx8+umnTfpQTyJwejyiFufGjRv417/+hRUrVmDo4GB89fm/4OXpKXZZREpRWVmJ/y7+CfNff7nRC6kTqaPV6zZiwX8WorikGJ9++i/MmTMHOjo6YpdFRCpQXFwMU1NTvC41gZ4Kw2ulIGBxbTGKiooaLJXT0nEgHFELUlBQgPnz56Nt27ZIvXgRh/ftwrb1axhciYjUWPjkCUg9lYj33/kHPvvsM3h7e2P9+vWora0VuzQiUhFVjnetv2kihleiFqC8vBxffPEF3NzcsHfPHmxa8ydid0ejR0BXsUsjIqKnIJVKMe+VF3Ht/CmEh03Cyy+/DH9/f+zbt0/s0oiIWgyGVyI1JpfL8dtvv8HTwwPLfv8d33/9JZKPxiJkSLDYpRERURPo6uris4/ex7Xzp9GrR3eEhoZiQFAQEhMTxS6NiJpRS1kqR91p6uMiavGOHDkCf39/fPrpArzz5hu4cDIe06dMErssIiJSAhMTY/z47ZdIO3MSdjbW6Nu3L2bNnIm8vDyxSyOiZiCRSFR+00QMr0RqJicnB89Nn46hQ4eiT2BPpKYk4s25LzdpgWgiIlJv9ra2WLP8N5w4fAAXL1yAh4cHlixZgpqaGrFLIyIlYsurcmjq4yJqceRyORYtWgQvLy9cv56BxCOx+PHbLyGTycQujYiImpmfry/iY/dh0Zf/xX/+/W907twJx44dE7ssIlISTtikHAyvRGrg8OHD6NypE7795hv88O3XOLR7Ozq08xa7LCIiUrHZ08Nx5WwyenbrhoEDB+K556YjNzdX7LKI6BlJoNpWVw3NrgyvRGK6efMmwqdORUhICAb074dLKSc4rpWIqJWTyWT4bckinDgSg8tpafDw8MDixYshl8vFLo2Imkgqkaj8pokYXolEUF1dja+//hre3t64efMGTh49hO+/+i8MDAzELo2IiNSEX4f2OH5wL77/+kv8d+FCdPLzQ1xcnNhlERGJhuGVSMViY2PRyc8P3y9ejF+WfIeYndvg49VW7LKIiEhNzZw2BZfPnETf3r0wePBghIdPRU5OjthlEVEjcMIm5dDUx0Wkdm7cuIGwsDCMGDECwYMG4FLKCUydOF7ssoiIqAWQyWT4+buvkRR3CBnXrsHT0xPffvstuxITtRCcsEk5GF6JmllVVRW+/PJLeHt7I/d2DlKOH8bi/y2Evr6+2KUREVEL06GdN47u342fvvsWX375JTp27IjDhw+LXRYRPQFbXpVDUx8XkVo4dOgQOnbsiB9/+AFLf1qCgzu2wsvTU+yyiIiohZs+ZRKunk3GgH59MXToUEwJC0NeXp7YZRHRI0ghUflNEzG8EjWDsrIyzJ07FyEhIRgaPAgXkxMQNj5U7LKIiEiDGBgY4Mdvv0TyscO4lp4OLy8vrF+3TuyyiOgh2G1YORheiZTs0KFD8PX1xaHYGBzeuwuLv2QXYSIiaj7tvL1w7OAefPjePxAREYFx48axFZZIzbDbsHJo6uMiUrn7W1vHjR6FU8ePIMC/s9hlERFRKyCVSvGP1+fiVHwcbt64wVZYItJI2mIXQKQJDh06hJkzZ0ImM8ThvbsYWomISBTubq44dmA3vlnyI+ZERCAyMhK//PorrKysxC6NqFVTdVdeTW2h1NTHRaQSf29tPc3WViIiEll9K+zp+DjcvHmTrbBEakAC1U7apKFDXtnyStRUitZWQ7a2EhGR+mErLJH6YMurcmjq4yJqNve3toaOHoXT8WxtJSIi9cRWWCL1wAmblIMtr0SNwNZWIiJqidgKSyQutrwqh6Y+LiKlYmsrERG1dA1bYTkjMZEqqXK8a/1NEzG8Ej1B/bqtsTF167Z+s/AzaGlpiV0WERFRk9S1wtatCzsnIgLjQkO5LiwRtQgMr0SPUF1djfnz5//V2jqSra1ERKQx/t4K6+PtjX379oldFpHGqu82rMqbJmJ4JXqI69evo2/fvoiMjMS+7VvxzcJ/s7WViIg0Tn0r7NxXXsKoUaMwf/57kMvlYpdFpHEkItw0EcMr0d9ERUXBz88PlhZtcCY+Dr17dhe7JCIiomYjlUrx6QfvYe/2KKxatQq9e/VCVlaW2GURaRS2vCoHwyvRXyoqKjB37lxMmzYN//zgPWzfsBYmJsZil0VERKQS/XoF4nzicZibmcLX1xdbt24VuyQijcEJm5SDS+UQAbh8+TImTpyI8rIyHNm3G106dRS7JCIiIpUzNTXF7qiN+HLR95gyZQoi5szBV19/DV1dXbFLI2rRuFSOcmjq4yJ6amvWrIF/ly5o6+GO0/FHGFyJiKjVe2feazi8dxeio6PRrVsArl69KnZJREQMr9R6lZeXY86cOXj5pZfwv8//jQ1/LoeBgYHYZRG1GoIgoLa2FjU1NZDL5aiurkZVVRUqK6sAAFXV1aiulkMul6Ompga1tbUQBEHkqolajwD/zjiXeAxuLi7o5OeHyLVrxS6JqMWSoC54qeqmmZ2G2W2YWqnz589jwoQJkAA4FrMfHdp5i10SUYtQW1uLsvJ7KC0rw717FaisqqoLnFXVqKquQlVVdd22v4KoYl/VX/uq67bJ5TVPvNY3Py196HaJRAIdHR3o6epAV1cXujo60NPVrftaV+eBf+sptutCT08XMkNDGMsMoaenB4lEU/+8EymHTCZDVOQqLPllKSKefx779u3Dkh9+4Ie9RI2k6hmANfWvm0Tgx9jUigiCgN9//x1vvP46xoeOxdIfvuM4HiLUhdLSsnKUlpWhpLQMJaWliq//f1sZysrLIQgCDPT1YWhgUBcKde8Lizp1gbI+WOo9ZJuurg50tLUhkUghkUggkdQFUqlECokEqKyqwqJflmHeC7Oho6sDQRD+ugGCUIva2lpUVcv/CsZ1ofj+AH3/tr+H6cqqKpSWlUMul0NbWxvGMhmMjWQwMvrr/zLZX9uMFNv0GXKJAADnLlzEuCnTIZFKsWXLFrRv317skojUXnFxMUxNTbHM1BKGEtV1ei0XajG76A6KiopgYmKisus2N7a8UqtRXFyMF154AXv37sXP33+H6VMmiV0SkcoIgoCysnLcKShA/t0C5BcU4m5BAYqKSxShFAAMDQ3+P9DJ6kKdjZUVjO8Ld0YyQ2hrN9+fj/qgqK+vBz09PaWfXxCEuhD7VyAvKSv76+tS3M7Nw5XSDJT8Fdirq6uhpaVV9/hlMpibmaKNuTks2pjBwtwcFubm0NXVUXqNROrIt307nEmIw+xXXkdAQAC+//57zJ49mx/uED0FtrwqB8MrtQonT57ExIkTYGpigsTDB+Hh7iZ2SUTNorKyEvkFhcgvKED+3fr/14XVqqoqmJoY14WuNuZwdXaCmYlxXSvjX6FUS0tL7IfQ7CQSCfT19KCvpwdLizaPPfb/Q24pSkrLUFBUhPy7hbicno47dwtQWVkFYyOjBmHWok1duDUzMWkVzye1Lvr6+liz7FesWLUWb7z1Fvbu3YOlS3+HsTGXliN6HIZX5WB4JY3366+/4o033sBz4VPx47df8s0kaYSqqircys3DrZzbyMu/qwippWXlMNDXrwtQ5mawtrRAu7aesGhjjjZmptDRYSthY+jp6kKvjS4s2pg/sE8QBJTfu9fgQ4LMGzeQcu487hYUQhAEmJuaKoKtjZUl7GxtYNnGHFIp50uklm3mtCnoHdgDoWHh8PPzw86dO9GuXTuxyyJSWwyvysHwShqruroab7zxBtasWYPlv/6EsPGhYpdE1CT1QfVmzm3cysnFrdu3ceduAYyNZLCzsYG1lQWcHOxhYW4GizbmMOREKiohkUggMzSEzNAQzo72DfbV1taiqLikLtQWFOJO/l2cPH0WOfsPAgBsra1hZ2MNextrBlpqsdp6uCPl2GHMfOlVBAQEYF1kJEaOGiV2WUSkwRheSSPduXMHE8aPx/XMTBzeuwN+vr5il0T0VJ4UVO1srOHbzgt2NjYwNpKJXS49glQqhbmZKczNTOF53yiF2tpa3LlbgFs5t3Hzdi4DLbV4Ojo6WP37r/hy0feYMHEiPvnnPzH//fc5Dpbob+omKFTdz4VEQ9teGV5J45w9exajRo2Eo4MDTh45iDZtHj+mjUgsgiDgTv5dZGRlI+vGLUVQNZLJYG/LoKqJpFIprC0tYG1pgU6+dTO11gfamzm3ceshgdbe1hrODg5wdXKEoSFb1Uk9vTPvNXTs0B5TZ0Ug5VQK/vhjJZfTIboPuw0rB8MraZSoqChMmzYNkyeMx6/ff8vxraRWBEHAnbsFyMjMwvWsbGRk3UBlVRWc7O3g7GjPoNpK3R9oO98faPPv4ubtXNzMuY1Dx+Kx4U4+rC0t4ersCFcnR7g4ObCLOKmVYYMHIfHwQYSETkTPnj2wc+cuODg4iF0WkVqQ/nVT5fU0EcMraQRBEPCf//wHCz//HP/51wLMe+VFsUsigiAIyC8oQEZmNjKyspGRmY3Kqko42dvDxckR3f07w97WplmXnaGWSSqVwtrKEtZWlopAW1ZejutZN5CRlY2YuGPIy78LGytLuDg5ws3ZES6OjjAw0Be5cmrtPNzdkHLsEMaETUOnTp2wY8cO9OjRQ+yyiERXt6a5Cq+nukupFN8xUYtXVlaGmTNn4vDhw9i2cR0GBfUTuyRqpQRBwN2Cwr+CahYysrJxr6ISTvZ2cHV2RLfOfnCws2VYpSaRGRqivXdbtPduCwAoLSvD9ewbyMjMxoEjx3An/y5sra3g4vT/LbMG+gyzpHoymQx7t27C2x98jP79++Pnn3/GzJkzxS6LSFSSv/5T5fU0Ed9BUYuWmZmJUaNGoUYuR8KhA3B1dhK7JGplqqvluJaZidQr6bicfg3l9yrgaG8LVydHdO3sB0eGVWomRjIZOnh7oYO3FwCgtLQMGdl1Lfz7D8fhbkEh7Gys4eXhBm8Pd9hYW3ESHVIZqVSKb//7H3T264hX587FqVOn8PXXX3M4D7VaHPOqHHxHRS1WXFwcxo4di57du2HDn8s5MQSpTGlZGdKuXkPa1XRczciEkcwQ3p7uGBsyFE4O9tDR4a9WUj0jIxl8fbzh6+MNACgpLcPVjAykXbmGoydOwkBfH96e7vD2cIeLkwM/VCGVmDE1DO28vTB2cjjOnj2LTZs2wczMTOyyiKiF4l8uapGWLl2K1157DfPmvoKFn/5T7HJIwwmCgLz8u0i9chVpV9JxI+c2HGxt4OXpjoF9esHK0oItWqR2jI1k6OzbAZ19O0AulyMjKxupV9Kxdfc+VFZVwdPNBd4e7vB0d+XET9Ssunf1R8rxwwgZOxFdunTB7t274e3tLXZZRCrFllflYHilFkUul+PNN9/EypUr8fvPP2DqxPFil0QaqqamBpk3biL1SjrSrqSjpKwMHq7O6OLni8ljR8GIMwJTC6KtrQ1PN1d4urliePAA5OTmIfXKVcSfTEHUrr1wdrCHl6c7vD3dYWFuLna5pIFsrKyQELsP059/GV27dsX69esxfPhwscsiUhkpAKkKE6VUUN21VInhlVqM/Px8TJw4EelXr+LQnh3o7NdR7JJIw8jlclxOz8DFtMu4nJ4BbW0teHm4Y+jA/nB3cYKOjo7YJRI9M4lEAjsba9jZWCOodyCKikuQdjUdaVfTcfDIMZibmsDL0x2+Pt6w5ThZUiIdHR1ErliK/37zHcaNG4d//etfeOedd/gao1aBEzYpB8MrtQiXL1/G0KFDYGNtg6S4WFhatBG7JNIQgiDgevYNnLlwCRdS02BoYIAOPl6YNjEU9rY2fFNFGs/UxBjdunRCty6dUFlVhfSMTFy6fAXL126AmYkxOrb3Qcd23jAzNRW7VNIQ8996Ax07tMe02c/jzJkzWL58OT8cpFaB7yieHcMrqb2kpCQMGzYMwQOCsHrZr5ypkJQiN+8Ozly4hLMXUyGXy+sC64RQONjZMrBSq6Wnq4t2Xp5o5+WJEVXVSL16FWcvXELs0Xg42tvBr70P2nu15Xqy9MxGDB2MhEP7ETxiLEJCQrB161bIZByOQZpL5eu8auhbGYZXUmv79u1DaGgo5sycge/+97nY5VALV1xSgrMXU3H2wiXkFxTCp60HRgweCA9XZ34oQvQ3uro66NjOBx3b+aCsrBznU9OQcvY8dh2IRVs3V3Rs7wMvDzfOWkxN5uXpicS4GAQNG4m+ffpg3/79sLCwELssombBCZuUg39xSG1FRkZi1qxZ+Pj99/DBP94UuxxqoSoqK3Ex7QrOXriE69k34ObsiMAAf/h4eUJPV1fs8ohaBJnMEN39O6O7f2fkFxTg7IVUHDh8FNv27EN7r7bwa+8DFydH9lqgRrOxskLioQMIHhWK7t26ISY2Fs7OzmKXRURqiuGV1NJ3332HD95/Hz8s+hqzp4eLXQ61MLW1tbhy7TpOn7+AtKvpsLKwQMf2PggdMQzGnCWY6JlYmJsjqHdP9O/VAzdu5eDsxVRsiN4JbS0t+Lbzhn9HX1i04YzF9PSMjIxwZO9OjAmbhoCuXXEwJga+vr5il0WkVFJIIFVhe6gqr6VKDK+kVgRBwPvvv4+ff/4Z61b9gZHDhohdErUgZeXlSDl7HidPn0VNTQ06+bbHC8+Fw4oTfBEpnUQigaO9HRzt7TAkqC/Sr2fizPmL+GnFKrg4OqBbFz94ebhDKpWKXSq1ADo6Oti+YS0iXn0DgYGB2LlzJ/r27St2WURKw27DysHwSmpDLpfj+eefx86dO7Bn22b0COgqdknUAgiCgOybt5B06gzOp16Gs4M9hgT1g5eHG8exEqmIlpYW2rq7oa27G0rLypBy9jx2HzyEXQdi0bVTR/h39OXayPREUqkUy376HrY21hgyZAgiIyMxZswYscsiUgpO2KQcDK+kFsrLyzFx4kRcOH8eR/btgpenp9glkZqrqqrG2YuXkHTqDAoKi9DJtz1emhHOZZSIRGYkk6Fvz+7o3T0Al9MzkHTqNA4fPwGfth7o1tkPzo4OHBtLj/X5go9ha2ODyZMnYfHi7/HCCy+IXRLRM2PLq3IwvJLo7t69i+HDh6O0pATHY/bC1sZG7JJIjd3Jv4vEU2dw+vwFmJuaIqCzHzq284GuLtcIJFInUqkU3p7u8PZ0x92CQiSdOoPIqGgYGxmhW2c/+LX3gZ6enthlkpp6/eUXYG1thdkvvoKcnBx8/PHH/NCDWjTJX/+p8nqaiOGVRJWVlYXBgwejjbkZ4mP2wsjISOySSA3V1tbi0uWrSDp1Bpk3bqKDd1uEjx8LR3s7vpkhagHamJthyIB+GNCnF86npiIx5Qz2H4qDX4d26NbZD9ZWlmKXSGoobHwobCwtETplGm7duoUlS5ZwOAi1WFJJ3U2V19NEDK8kmvPnz2PIkCHo7NcRUZGroKPDljNqqKKiAomnziAx5TS0tLTQtVNHjB8VApmhodilEVET6Ohoo7NvB3T27YAbt3KQdOoMflu1Fva2tujVzR9eHu78QIoaGNC/Lw7v3YEho8cjJycHkZGRbLEnasUYXkkUx44dw/DhwxE6ZhR+/2ExZ6OkBkpLy3D8ZDKSTp2FnbUVRg4ZBE83V75OiDSIg50tHOxsMSSoH5LPnsP2vQdhYHAMfboHwLedN3/eScHP1xfxsfsxcPgoBAcHY8eOHTAxMRG7LKJG4ZhX5WB4JZWLjo7G5MmT8cbcV7Bwwcdil0NqpKCwCMcST+LUufNwd3HGtAlj4eRgL3ZZRNSMDAz00bt7AHr4d8bp8xcReyweMUePo1e3rujs2wE6OnyrQoCrsxOSDh/EgOFjEBgYiAMHDsDW1lbssoieWksIrydPnsS+fftw4sQJJCQk4ObNm9DT00NFRUWjz+Xq6orr168/cv/Fixfh4+PT6PPyLwKp1Jo1azBnzhws/OxTzHvlRbHLITWRm3cHcQlJuJB2Ge29PBExbQpsOAaOqFXR1tZG104d0aVjB1xIvYy4hEQcOpaAngFdENDZD/rsKtrqtWnTBvExezFs7ER0794dR48ehZOTk9hlET2VljBh02effYatW7cqtY4ZM2Y8dLupqWmTzsfwSirz559/4sUXX8RP332LmdOmiF0OqYGsGzcRl5CI9OuZ6NShPV6d/RzMzZr2y4yININUKoVvO2908PHClWsZiItPRFx8Irp16YSeXbtAJuOY99bMwMAAB3duxYgJYQgMDMTRo0fh4uIidllET9QS1nkNDAxEp06d0K1bN3Tr1k0pvRtWrFjxzOe4H8MrqcTy5csxd+5c/LLkO0wPmyR2OSQiQRBwNeM64uITcSs3D906+2HUkGAYGcnELo2I1IhEIkFbdze0dXdDZvYNxCUkYtGvy9ClYwf06uYPsyZ+ak8tn5aWFnZsjMSYyeEIDAxEXFwc3N3dxS6L6LGkf91Ueb3Geu+995Reh7IxvFKz++233zBv3hv4/acfEDZhnNjlkEgEQcCFtMuIi09EcWkpenbtgrDQUdDX1xe7NCJSc86ODpjq6ICc3DwcTUjEkt9XooN3W/Tp0Q1WlhZil0ci0NLSwrb1azAu/Dn06tULcXFx8PT0FLssokdqCWNeWwKGV2pWP//8M95++22s+O0XTBw7WuxySASCIODKtQwcOHwU9yoq0bt7V3Tp2IFLIxFRo9laW2H8qOG4W1CIoyeS8Oufa9DB2wtBvQNhZsrZZ1sbqVSKzatXYtJzs9G7Vy8ciYuDl5eX2GUR0X2+/PJLXL16FXp6eujQoQNCQ0NhZWXV5PNJBEEQlFgfkcKSJUswf/58/Pn7rwgdNULsckgE2TdvYf/hOOTeyUffnt3RrbMftLX5mRk9XmVlJf67+CfMf/1lrudIj1VQWITYo8dxIe0yunbyQ7+e3WFoaCB2WaRitbW1mDr7BRw4GIMjcXFNmsGUqLkUFxfD1NQUB6wdYKTCJcBKa2sxKPcGioqKmry0lEQiUfpsw4aGhli8eDHmzJnTpJq4iBo1i0WLFuH999/H2hW/M7i2Qnl38rFuSzRWrt8MF0dHvPH8LAQG+DO4EpFSmZuZInTEMESEh+FuQSG++205Dh2LR1VVldilkQpJpVKsWfYrhg0djN69e+P8+fNil0T0AIkIN6AuPN9/q6ysbPbHCgCjR4/G5s2bcf36dZSXl+PcuXN46623UFlZiYiICERFRTXpvGx51QBlZWXYvHmzYk2m06dPo6qqCgsXLsT8+fNVXs93332Hjz76COv/XIGQIcEqvz6Jp6i4GLFH43HuUiq6dPRFv8DuMJJxIiZqHLa8UlNdz76B/YfiUFBYhH6B3dG1U0doaWmJXRap0KyX5mLr9h04evQo2rVrJ0oNylwrk1q++pbXGBFaXgfk3nhg+yeffIIFCxY81TmepeX1UX799Ve8+OKL8PLyQmpqaqPvz2YQDXD58mU899xzYpcBAPjhhx/w0YcfIpLBtVUpv3cPR+ITkXTqDNq19cArs7jkDRGpnoujA2ZPnYS0q+k4cOQYjiclY0CfXujYzhsSVa5RQaJZ/vMSPPd8Dfr27YOjR4/B29tb5TU0x1qZ1PJJJBKV/h6qv1ZWVlaDbsNifygcERGBjz/+GGlpabh27Rrc3NwadX+GVw1gbGyMOXPmoHv37ujWrRs2bdqE//znPyqv4+eff8Z7772HNcuXYsTQwSq/PqleVVUV4k+m4NiJk3BysMecqZNga2MtdllE1IpJJBJ4e3qgrbsbzly4hINHjuLYiSQM6tcbnm6uDLGtwIpffsC0iJfQt08fHDt+XOWzEDfHWpnU8kkldTdVXg8ATExMmjzmtTlIpVJ4eHggNzcXt27dYnhtjTw8PLB06VLFv8X4tG/p0qV4++23sWrZbxg9IkTl1yfVqqmpwcnT53D4eALMTU0QNm40XJ0cxS6LiEhBKpWis297+Pp4IenUGWzZuQdWFhYI7tcbTg72YpdHzUgqlWLV0p8xecYc9OndG8eOH1fpOrAtYa1MIjEVFBQAAIyMjBp9X4ZXemYrVqzA66+/jj+W/sLJmVqB9OuZ2LU/BgAwcshAeHt6sCWDiNSWtrY2egb4o0vHDjiWmIw/N2yBj6cHBgf1hbERx+RrKqlUinV//I7x4TPQu3dvHD9+HK6urmKXRa2YRCqBRIVNrxI1Xen1/PnzSE1NhaGhYZNmBudsw/RMVq1ahVdeeQXLfv6B67hquOKSEmzYtgProrbDv1NHvDRzGnzaejK4ElGLoKenhwF9AjF3znOora3Bkt//wPHEZNTU1IhdGjUTqVSKTav/QEBXf/Tu3RuZmZlil0StmESi+ltzW7JkCXx8fPD+++832L5nzx6cPHnygePPnDmDiRMnQhAEREREQFdXt9HXZMsrNVlkZCReeOF5/LJkMcImjBO7HGomNTU1OJ6UjCPHT8CnrQfmzpnB1goiarFMjI0xYfSIul4kB2KRcu48hg8Kgquzk9ilUTOQSqXYGrkKIydOQe/evREfHw8HBwexy6JWSFWB8v7rNdaOHTvw2WefNdhWVVWFnj17Kv798ccfY8SIup6Wd+7cQWpqKm7dutXgPsePH8enn34KFxcXeHh4wMrKCteuXUNycjLkcjn69++PhQsXNr5AMLxSE+3ZswezZs3CD4u+xvSwSWKXQ83kasZ17DoQCy2pFqZOGAsXR/7BJyLN4O7ijJdmhCPh5Cms3bwNXp7uGBLUF8ZNGINF6k0qlSJ6/RoMHTsBAwcMQHxCAszNzcUui1oZsWYbboy8vDwkJCQ02CYIQoNteXl5TzzP0KFDkZWVhcTERJw+fRpFRUUwMTFBnz59EB4ejlmzZjV5GTOGV2q0EydOYNy4cVjw0QeYPT1c7HKoGRQVF2NPzGGkZ2QiqE8gunfpBKkK1yYjIlIFLS0t9OreFb7tvLHv0BEs+X0l+gf2QI+unbk+rIbR0tLCzk3r0GvQUAwbOhSxhw7BwMBA7LKoFWkJLa8zZ87EzJkzn/r4BQsWPHTN2MDAQAQGBja+gKfA8NoCPOxFNHbsWIwdO1bltaSlpSFk2DC8GDEb7735usqvT81LLpfXdRGOT0R7L0/MnTMDRuwiTEQazsTYCONHhiAjMws7FV2JB8DNhV2JNYmuri4ObI9C9/6DMH7cOGyLjoa2Nt8Kk2q0hJbXloA/sS3AH3/88cA2V1dXlYfXmzdvYtCgQRgyOBjfLPy3Sq9Nze/KtQzsOhALHW1tTJsQCmdHLiVBRK2Lq7MTXnxuKk4kn0ZkVDTaurtiSFBfmBgbi10aKYmpqSkO7oxGj/6D8HxEBJYtX66xb/KJNBHDawsgCILYJaCwsBBDhgyBt1dbrP79F7HLISUqKi7B7oOxuJaZhYF9eiGgsx+7CBNRq6WlpYXAbv51XYljj+CH31eiX68eCAzw5+9GDeFgb4d926PQJ3gYPvrwQ/zn88/FLolagZbQbbglYHilJ6qoqMDIkSNhoKeH7RvW8o+3hhAEASlnz2NvzGH4tPXAa3NmQiYzFLssIiK1YGwkw7iRw3A9Kxvb9x3EhdTLGBMyBNaWFmKXRkrQztsL2zZEYujoUNja2uK11zkUipqXVCKBVIWJUpXXUiWGV3qsmpoaTAkLQ25uLhIP7Ye+vr7YJZESFBWXYPve/biddwfjR4Wgrbub2CUREaklFydHvPjcVMQejcdvf65Fv8Du6N09gB/kaoDePbtj1bLfMGXGbNjY2GDS5Mlil0QajC2vysHwqiFCQ0MVayxlZ2cDAH788UdERUUBAOzs7LBly5ZGnVMQBLz88stITEzE8dh9MDU1VWrNpHr3t7a28/LE+JEh/ECCiOgJtLW1Edy/D3zaemDr7n24dPkqW2E1xNiRw/HdV//DczNmwMLSEoMGDXrmczZ2rUxqHSRQ8YRN0Mz0yvCqIVJSUnD9+vUG27KyspCVlQUAcHFxafQ5P/30U2zatAmH9uyAExf0bvGKS0oQvYetrURETeVob8dWWA30wqznkHM7B6NHj0ZcXBy6dOnyTOdT1lqZpFkk0rqbyq4n/pQ5zYLhVUNkZGQo9Xw//fQTvv76a+zYsgG+7dsp9dykWoIg4NS5C9gTcwjt2rK1lYjoWbAVVjP9c/67uJVzG8HBwUhMTIS7u3uTz9XYtTKplVDxUjma2m+Y4ZUesHnzZrz11ltYtWwp+vVqngWGSTUatLaOZGsrEZGysBVW8/zwzZfIuZ2LoKAgJCYmwsbGRuySiOhv+BuWGjh06BCmhYfjmy8+x/gxI8Uuh5qofmzrj8v/hJFMhldmTWdwJSJSsvpW2BmTx+PMhUv4ffU65N7JF7ssaiKpVIqNq1bAxdkJwYMGoaSkROySSIPUT9ikypsmYnglhdOnT2PkyJH4x5vz8HLEbLHLoSYqLinBmk1RiIk7hvEjQzAmZAi7CRMRNaP6Vlg3Zyf89udaHIk/gdraWrHLoibQ0tLC3q2bIJEAI0YMR2VlpdglkYaoC5QSFd7EfsTNg+GVANSNmR0cHIywSRPwr4/mi10ONdHFtCv4afkqtrYSEalYfSvszLAJOHPhEpav3YDComKxy6ImMDAwwMGd0cjKzMLUKVP4QQQpBVtelYPhlVBSUoKQkGHo3i0Av3z3jdjlUBPI5XLs2HcQW3fvxaihwWxtJSISiYOdLV6YPhU2Vpb4ZeVqXLp8ReySqAksLdrg4M5oHImLw8cffSR2OaQBpBKJym+aiBM2tXK1tbWYPHkytLS0sHnNSk400QLl3y3Ahm07oK2thRefC4e5GdfjJSISk46ONkYOGQQ3ZydE7dyLTr7ZGNy/D7S1+barJXFzdcbGNSsxdFQoOvr5ISwsTOySqAVTdWuohmZXtry2dh9/9BESExMxedJkFLB7U4tz5vxF/PrnWri7umDWlEkMrkREaqSDjxdenBGO7Ju3sGzNeuQXFIhdEjWCIAjQ09PH+PHjMWvmTKSkpIhdErVgqh3vquJleVSIHwG2YuvWrcOi7xZhZ9QmQKKF5WvWY/woLqfSElRVVWPXgRikXk3H+JEh8PLg94yISB2Zm5li9tRJ2H8oDr+uXIuRgweiY3sfscuiJ6itrcXug4dwIfUy/rvgI8j0dTE8JASnTp/mEjpEImJ4baVSUlIwa+ZMfP3FQvTv3QsA0MbcFBu27UBwv77o7t9J5ArpUW7n3cHG6J2QGRjgpRnhMDE2FrskIiJ6DC0tLQwd2B+uzk7YumsvrmVmIWRQEHR0dMQujR6isrISG6N3oqikFBHTJsPM1BQ/Lfoa5y+mYtSoUYiLi4Ourq7YZVILw27DysFuw63Q7du3MWL4cDw3LRwvR8xSbO/YzgfTJ47DoePx2HUglrPrqRlBEHDy9Fn8vnod2nu1xXOTxzO4EhG1IN6e7nhxRjjy7xbgtz/Xck1YNVRYVIxla9ZDEATMnjoJZqZ1w3GkUil2bFyL3NxcvPD88xAEQeRKqaXhbMPKwfDaylRWVmLM6NHw9PTAj99++cB+Jwd7RISHIf16JiK3RKOyqkqEKunvKiorsSl6J2KPHseU0NEY0CeQk2sREbVApibGmBE2AT5tPbF0VSSSz5xjEFIT2TdvYemqSDg7OmDq+LHQ19NrsN/U1BQ7Nq3HlqgoLP7uO5GqpJZKIpWo/KaJ+O63FREEAS+9+CJyc3MRvX7NI8OPuZkp5kydhJqaGixfsx5FxZzISUw3c27j1z/WoKKyEi/NmAY3FyexSyIiomcglUoxsG8vhI0dhYNHjmHz9l2orKwUu6xW7XxqGlau34w+PbthePCAR75H6tDOG3/89jPemz8f+/ftU3GV1JKx5VU5GF5bke8XL8aWqCjs2LwepqaPn5VWX18fU8ePgaO9HZauisSNWzkqqpLul3zmHFZEboB/J1+ETwiFTGYodklERKQk7q7OeGlGOMrvVeC3PyNx5+5dsUtqdQRBwJH4E9i2ez/GjwxBz65dnjhL69iRwzH/nbcxbvx4XL16VUWVUkvHdV6Vg+G1lThw4ADefe89rPj1J7Tz9nqq+2hpaWHE4IHo1S0Af6zbhItpXGhdVWpra7HrQCz2H4rDlNAx6NOjm8ZOeU5E1JoZGckQPmEsfNp6YOmqSFy5liF2Sa1GTU0Ntu7ai6RTZzArbAK8Pd2f+r4L3n8XgwYEYdiwYShmDzV6Cmx5VQ6G11bg6tWrGDduHD547x2MHTm8UfeVSCQI7OaPcSOGIWrnHhxNSOLYnGZ2714FVm+MQkZmFp6fPoXdhImINJxUKkVw/z4YHjwQ67dux7HEk/xb28zu3avAnxs2I/dOPiKmhcHWxrrR51j3x+8w0NfD5EmTOMklkYowvGq44uJihAwbhkEDBuCf7/2jyefxaeuBmVMmIiE5BdF79qOmpkaJVVK9vDv5+G3VWujoaGN2+GSYmz2+ezcREWkOv/Y+mDF5AuKTkrF1117I5XKxS9JI+QUFWLo6EgZ6+pgZNhHGRkZNOo+uri52b92E5JQUfPD++0qukjSNRCJR+U0TMbxqsJqaGkyaNBEGBgaIXPHbM5/PzsYaEdOm4NbtXKzauAX3KiqUUCXVS7uajt9Xr4NvO29MHjsKelxDjoio1XGws8Xz06fizt0CrIjciJLSMrFL0igZWdn4fdU6+Hh6YNLYkdDVfba1du1tbbF57Sos/v57rF69WklVkiaSQMXdhsV+wM2E4VWDffDB+zh16jR2RW1Q2mLaJsZGmDVlIvR0dfH76nW4W1ColPO2ZoIgIC4hERujd2HU0GAM7NNLYz8tIyKiJzM2kmFm2ARYtjHHb3+u4aSJSnLq3AWs2RSFQf16Y3BQX6X9re3dszsWffkFIiIicPLkSaWckzQPW16Vg+FVQ62LjMSSJT9gy9pVsLe1Veq5dXV1MWnMSLR1d8PS1ZG4nn1DqedvTaqr5di8YzcSU85g1pSJ6ODzdJNpERGRZtPW1saYkCEIDOiKP9ZtwtkLl8QuqcUSBAEHjxzDnoOHEBY6Gl07dVT6NV6Y9RxmPTcdI0YMR25urtLPTxpA1ZM1aWZ2hbbYBZDyXblyBbPnzMFXC/+NwB7dmuUaUqkUQwf0g4W5GVZv3IKRgwfBr0O7ZrmWpiouKUHklmhoa2vj+elhMJLJxC6JiIjUSP2kiVaWbbAxeidu593BwL69HrkGKT2oulqOqF17cCsnF7PDJ8PKok2zXWvJ11/g1JkzmBIWhn379/P7RA2oujWULa/UIlRWVmJcaCiGBg/CyxGzm/16AZ39MHnMKOw8EIOYuOOcHfEpZd24iV9XroWttRWemzSOwZWIiB7J080VEdPCcOnyVURuiUZlZaXYJbUIpWVl+GPdRpSUlGLOtOYNrkDdB/tbIlfh7Nmz+N8XXzTrtYhaK4ZXDfP2W2+htKwUq5f9qrJreri5YPbUyThz4SI279jN2RGf4PS5C/hzw2b0DeyOUUODoa3NDhBERPR4lm3aIGLaZAhCLZZyzoknys27g6WrItHGzBTPTR4PmaGhSq5rY2WF5b/+hE8WLMDx48dVck1qGSRS1d80kYY+rNZpy+bNWLZ8OTb8+QcMDAxUem1rSwtEhIehsLAIf6zbhLKycpVevyUQBAFH4k9g18FYhI0djR7+nTW2SwcRESmfvr4+powbA09XFyxbsx63bnNs5cNcuZaBZWvWo7NvB4SOGKbyD4lHDB2MFyPmYPz4cSgoKFDptUl9ccIm5WB41RCZmZmYMXMm/vXPD9G1SydRapDJDPHc5AkwNTHG0tWRyLuTL0od6kgQBOw+eAgnkk9hZthEuLs6i10SkegEQUBtbS1qamogl8tRXV2NqqoqVFZWAQCqqqtRXS2HXC5HTU0NhyUQ4a85Jwb2R6/uXfFH5EakX88UuyS1kphyGuu3bsfwwQMR1LunaG/gF33xH9jZ2uG556bzdxfVkUpUf9NAEoE/US1edXU1evUKhEWbNti9ZYPY5UAQBMQejUdCcgomjh4BD1cXsUsSlVwuR9Suvbh1OxfTJoTC3MxU7JKIlKa6Wo7SsjKUlJaipKwMpaVlqKisQlVVFarqw2hVFaqqqlFVXYXKquq6r//a3tg/QdraWtDV1YWujg70dHX/9rVO3b916/5toK8PYyMZjI2MYCSTQWZowAlUSKOcOX8R2/cdxOhhwfD18Ra7HFHV1tZib+xhnL2QisljR8HZ0V7skpCZlY3OgX2x4JNP8Pobb4hdDomkuLgYpqamyOzjCxNtLdVdV14D57hzKCoqgomJicqu29w42E4DfPjBB8i5lYMD0VFilwKgrlvEgD6BaGNuhnVR0RgS1A8Bnf3ELksUlZWVWBe1HZVVVZg9dZLKxtwQKUNlZSXyCwpRUFhUF05Ly/4KqmX3BdVKSKVSGMkMYSSTwdhIBn09Pejq6kJPTxfGRkbQ+ytUKgKmjq5im7a2lqJ7k1QihUQCVFZVYdEvyzDvhdnQ0dWBIAh/tdIKqK6u/isM14VjRTCu+v/t5eX3UFhUjHv37ilqvXevAhKJBDJDw78CrUxRr5FMBhNjY1i0MYOZiQm0tFT35oLoWfh1aAdDQwNs2LoDZeX30MO/s9gliaKyqgqbt+/C3YJCREwLU5sPiZ2dHPHLku8wffbz6NuvH7p06SJ2SSQizjasHAyvLdzuXbvw/ZIl2BcdBRMTY7HLaaBTh3YwMzXBuqho5BcUYnD/Pq2q1aO0rAyrN0ZBZmiAGZPHQ1dXV+ySiB5QU1ODgqIi5N8tRP7dAuQX/HW7W4DSsnLo6+uhjZkZTIyMYGQkg0Ubc7g6O8FIZghjIyMYy2QwNDRQ6h/J+nPp6+tBT09PKeeUy+UoLStHSWmp4v8lZWUoKi5B9s0cFJWUoKCwCIIgwNzUFBZtzGFhblb3/zbmsDA3h5HMUGPfDFDL5enmiumTxmHN5q0oLS3DwL69WtXrtKi4BGs3b4WhgQHmhE+Gvr6+2CU1MHHsaOzZdwBjx47FuXPnYGysXu/VSIVU3ZVXQ7sNM7y2YLdu3cLUqVPx3j/eQp9ePcUu56FcHB0QER6GNZu2oqCwEONGDGsVIe5uQSFWbdwCRzs7jAkZzJYcEp0gCCgsKsat27m4mXMbuXfykV9QgILCIkil0v8PaubmcHKwg4V5XWgzVPHkb81FW1sbZqYmMDN9dNep2tpaFBWXKMJ7fkEhLqReRn5BAYqKS6CrowOLNuawbGMOG2sr2NvYwM7GSu3eLFPr42hvh9lTJ2HVhi0oLS/HqCGDWsWHxTdzbmPt5m1o6+GGEcED1PZv7U+LvkKX3v0RETEHkZHrWtWHC0TKxjGvLVRNTQ2C+veHVCJBzK5tav9H6t69Cqzfth0VFZWYMm4MTIyNxC6p2dy6nYvVG6PQsZ03hgzoxz9SpHL1QfXm7du4lZOLW7frbpVVVbC2tICdrQ1srSwVYdXUxFitXqeVlZX47+KfMP/1l5XW8vqsqqvluFtY1zp95+5dxXNaVFwCczNT2NvawM7GmoGWRFVSWopVG6JgZmqMCaOGQ0dHR+ySms2ly1ewZcce9O/VE4Hd/NXqd9jDXE2/Bv/e/fHNN99gzpw5YpdDKlQ/5jUrqJPKx7w6xZ7WuDGvDK8t1IIFn+Dnn37GuaR4WDbzotvKUlNTg+37DuLqtQxMGTcGdjbWYpekdOnXM7E+ajv6BnZHr25d1f6PKWmGe/cqcD37BrJv3qprWb19G1VV1Yqgam9jDTsba9hYWbaIdYXVMbw+Sll5+V+t2bm4dft2w0BrYw07Wxu4ODrAzsZabVuFSLNUVFRg7ZZoCLW1mDJuDAwMNOuDFEEQcDwxGYeOxWPs8KFo5+UpdklP7Y81kXjptXk4efIk2rdvL3Y5pCL14TV7YGeVh1fHg6cYXkl8h2JjMXTYMGzftA7BA4LELqdRBEHA0RNJOHL8BMaNHAZvTw+xS1Ka85fSsHX3XowIHohOvvyjRM3nXkUFMrNv4FpmNq5nZeN23h1YtDGHk72dogWwpQTVh2lJ4fVh7g+0N3NykJl9E/KaGjg72MPV2RGuTo6wt7VR+x4z1HJVV8uxefsu5BcUIHxCKEzVbE6MpqqpqcGO/TG4fPUapowbDXtbG7FLarSps1/AyZRTSElJgSEncWwVFOF1UBfVh9cDKQyvJK47d+6gQ/v2eG5aOL789wKxy2myC6mXEbVrLwb0DkTPgC4tvoXyRPIpHDh8FBNGD0dbdzexyyENU1FRgevZN5GRVRdWc3LzYGFuBhcnx7ow5OgIIyOZ2GUqTUsPr38nCAJy8+4gIysbGZnZyMjORm1NLZwdHeD61/fQzsaaYZaUqra2Fjv2HcSVaxmYNiEUVpYWYpf0TO5VVGDD1h0ov3cPU8ePgUkLnfioqqoKHbv3Ru/evbFs+XKxyyEVqA+vN4L9YaKjwvBaXQOH/ckaF15b5sfyrZQgCJg6ZQpcXV3wxb/+KXY5z6S9d1uYmhgjcss25BcUIGRQUIvtUnck/gSOJZ7E9Enj4GhvJ3Y5pAEEQcCNWzlIvZKOqxnXkZObhzZmZnB1dkSvbl3h4uQIYw0Kq5pOIpHAxtoKNtZW6NG1CwRBwO28O8jIzEJGVjbiEhJRKwhwcXRAW3dXeHm4a0xLGYlHKpVi5JBBiD0aj+WRG/DcpPGwtbYSu6wmuVtQiLWbt6KNuRlmh05q0RM/6urqYtOalegZFIwhQ4ciLCxM7JJIVSSSupsqr6eBGF5bkK+++grJKSk4c+KoRnxC72Bni4hpYVizaRvWbNqKiWNGQL+FtbIcOpaAhOQUzJg8ocW+KSD1UF1djfTrmUi9ko60q9dQU1sDL3c3BAb4w9XZEcZGmjvJWWsjkUhga20FW2sr9AzwR21tLXLz7iA9MwsXUi9j14FY2FhZwtvTHd6eHrC1tmrxvVNIHPXrruvoaGPluk2YPmlci5tvIjP7JtZFRaNjex8MCeqrEe9/fNu3w5eff4aIOXPQrVs3eHhozhAqegwpVLxUjuoupUrsNtxCXLhwAf7+/lj7xzKEjhohdjlKVVlVhY3bdqKouBhTxo1Rm8XFH0cQBMQejUfS6TN4btJ42FhZil0StUAlpWVIu5qOtKvpSL+eCWMjI3h7esDb0x3ODvYa8SatKTSt23Bj3btXgcvXMpB25SouX7sOPV3dv4KsO1ydHFvsWGYS17ETJ3Ek4QSmTQiFg52t2OU8lbMXLiF6734M7t8X3bp0ErscpRs9aSpu593B8ePHW+3v+9ZA0W14aFeY6Kju93dxtRwOe05qXLdhhtcWQC6Xo2vXrvBu64n1K5eJXU6zqK2txZ6Ywzh3KRVhY0fBycFe7JIeSRAEHIw7hpQz5zFj8vgWP46IVCv/bgHOp15G2tWruJmTC0d7O3h5uMHb0wOWbczZwgaG1/vV1NQgIyv7rxb5dJTfq4Cnqwu8Pd3h09aj1T8/1DjxScmIPRaPaRNC1XqYiyAIOHQsAfFJyZgwejg83VzFLqlZFBQUwrtLN7w/fz7efOstscuhZlIfXm8OC1B5eLXfnaRx4ZUf37YA//vfF8jNvY0je3aIXUqzkUqlCBkUBAtzM/y5YQtGDw2Gbztvsct6gCAI2H84DmfOX8LMsAktZpkiEldpWRnOX0rDmQuXcDvvDjzdXBDQ2Q9t3dwgk3G2SXo0LS0teLi6wMPVBSGDgnA77w5Sr6TjeFIytu87AG9PD3Rs5wNPN5cWO28AqU7PAH9IpVKs2rAF4RPGquUHxXK5HNt270PmjZuYPXUSrDW4Z5O5uRkWf/0/zHrhZYwcNQpt27YVuyRqTlKJirsNa+aH4Qyvau7ChQv4178+w/o/V8CkFUzg0d2/M8zNTLEpehfyCwrRL7C72rRECYKAfbFHcO5SGmZOmQALc3OxSyI1VlVVjUtXruLshYtIv54FJ3s7+Pv5or13Wxjoa9a6i6Qa94+V7d+rB3Lv5OPshUvYdSAGVdXV6ODtBb/2PnC0t1Ob35ukfrr7d4ZEIsGqjVEIHz8Wzo7qE2DLysuxbks0agUBEdPCYCTT/InpwsaHYu36jZg2bRq7D2s6TtikFOw2rMZaQ3fhR7mdm4c1m7fB1ckBo4YGiz7GSxAEHDh8FGcuXMTMsIloY24maj2knmpra5F+PRNnzl/CpStXYWZqAr/2PvD18YaZqeZ02Wlu7DbcOIIgIDP7Bs5cuIQLqZdhoK+Pju190LG9NyzbsHcIPVzSqTPYfygO0yaqRxfivPy7WLMpCg62NhgTMhQ6KuxeKTZ2H9Zs9d2Gb43qrvJuw3bRJzSu2zDDqxr7/PPP8f3ixUg9ldQqWl3/rrS0DGu3bIO2lhYmjx0FQ0MDUeoQBAExcceRcvYcZoZNhEUbtrhSQ3fy7yLp9Fmcu5gKqVQC33Y+8GvvAxsrS7aANQHDa9PJ5XJcTs/A2QuXkJZ+DTZWlujUoT06dfDhc0kPOJF8GgfjjmL6xHGiTuKUnpGJDdt2oJt/JwzoHdgqf29GbtqCWS+8jDNnzrD7sIZRhNfRPVQfXrclMLySatTPLrz+zxUYPSJE7HJEU11djaide3ErNxdTx48RpRUh9mg8kk6dwYywCbDiGFf6S01NDVKvpCPp1Blk3riJ9l5t0blje7g6ObLb1zNieFWOexUVuJB6GclnzuFO/l34dWiHgM5+nB2dGohPSsahYwmYPmkc7G1tVH79k6fPYk/MIYwIHohOvu1Vfn11MmZyOHJyc3H8eDz/jmiQ+vCaM7anysOrbVQ8wys1P7lcjq7+/vD2atvqugs/jCAIOHDkKE6ePotJY0bCzdlJZdc+fDwBCSdPYUbYBFhzVmECUFJaipOnzyH5zFloaWmha6eO6NKxA2SGnHhJWRhele/GrRwknTqDc5dSYW9ri26d/dDOy5OTPBEA4FjiSRyJP4EZk8bDVkXrwAqCgH2H4nDq7HlMHjsSLk6OKrmuOmP3Yc3E8KpcrWdAQQtSN7twLo7s3Sl2KWpBIpEguF8fWJibY+3mrQgZNABdOnZo9uvGJSQi/mQKZkwaz+DaygmCgIysbCSlnEHq1XS4uzhh5JBgeLq58NNxahEc7GzhYGeLIUH9cOrcBcTEHcfug4fg7+eLrp18YapBb2yo8Xp164ra2lqs3LAZMyZPaPbW+aqqamzZsRu5+fmYM20yJ0D8C2cf1nCcsEkp2PKqZthd+PGuZWZh/dbt6OrXEYP69W62cTEnT5/F/kNxmDFZdZ9Ck/qprKrCqXMXkJRyGmX37qFLxw4I6OQHczNTsUvTaGx5bX6CICA9IxOJp07jcnoG2rq7oluXTnB3cW6V4w2pzqFjCUg6dRqzp05utt9zJaWlWLt5G3R1dTB5zCgYGHD29b9j92HNomh5Hd9L9S2vm46x5ZWaj1wux5SwMIweOYLB9RHcnJ0wJ3wy1mzairsFhQgdMRQ6OjpKvcaly1ewJ+YwwsePYXBtpcrKy5GQfAqJyadh0cYMfXp2RwfvtqLPek2kLBKJBB5uLvBwc0FRcTFOnj6HzTt2w8TICH16dEM7L0++aW6F+gV2R1l5OVZt3ILZUycpfThEzu1crNm8DR6uzhg5ZBC7rT/Cip9/gHeXbvhu0SJ2H9YgEolEpR8OauoHkWx5VSOf/+ff+P77Ja12duHGKC+/h3Vbt0MulyMsdDSMjZSzFtz1rGys3rQV40YMhU9bT6Wck1qOouJiHEtMRsrZc3B2cECfnt3g4uigsX8A1BVbXsVRXV2NlLPncSzxJLSkWujVvSs6dWjHD21amdraWmzevgsFRcWYMXk8dHV1lXLe1Cvp2LxjN/r27Ibe3QP4e/UJOPuw5qhveb09qY/KW15t1sdpXMsrw6uaYHfhxpPL5di+9wCuZWZj6rjRsLG2eqbz3c67gxVrNyC4fx907dRRSVVSS3An/y6OnkjC2Yup8PZ0R+/uAaLMukl1GF7FVVNTg3MXUxF3IgmVlZXoGeCPgE4dlRZiSP3J5XKs2bQVUqkEU8aNeaYWUkEQkHAyBQfjjmNsyBC092YQe1rsPqwZ/j+89oWJrgrDa5UcNuuPMLyS8nF24aYTBAFH4hNx9EQSJowKQVt3tyadp7CoGMvWrEPXTn7o36uHkqskdXUz5zbi4hORln4Nfu190Lt7ANfxVQMMr+pBEASkXrmKuIRE5BcUonuXzujRtTMMDcRZc5tUq7KyEisiN8LKwgKhI4Y2qaW0trYWuw7E4mLaFUwZN1rUtWRbIs4+rBnqw2vu5H4qD6/W6w5rXHhlXyA18L8v/svZhZtIIpGgX2B3tDE3xYZtOzGoX2/08O/cqHOUl9/Dqo1b4O3pgX6B3ZunUFIr17Nv4PCxBGTdvIWufr54/fmZMDFmV32i+0kkEvi09YS3pwcyMrMRl5CI40nJ8PfzRZ/uATBS0nANUk96enoInzAWy9asx96YwxgyoF+jAmxFZSU2btuBktIyREwLg5mp5rx5VhXOPkz0IIZXkaWmpuJfn/0b6/9cwXGuz8DXxxumxsaIjIpG/t0CDBvY/6m62FRVVWPN5ihYW1ogZFAQx+BouNu5eThw5CiuZ99Ez65dMH5UCFuRiJ5AIpHAzcUJbi5OuJlzG4ePJ2Dx0hXoGdAFvbp1hT5bxzWWkUyGaRNCsWzNehgZydC7e8BT3a+wqAhrNm+DqbERZk+dxB4UzyBsfCjWrt+I6dOn4/jx43yf0pJJJXU3VV5PA7EDvYgEQcDzEREYOjiY41yVwMnBHhHhYcjIzMLazdtQWVn52ONramqwYdt26GjrYNyIYRxPosEKCouweftuLF0dCQtzc7zx/CwM6BPI4ErUSPa2NggLHY3nJo1DZvYNLP5tOY4nJkMul4tdGjWTNuZmCJ8wFkeOn8CpcxeeeHz2zVtYumodXJ0cMWXcGAZXJVj+0/e4nJaGlStXil0KPYP62YZVeWuskydP4r///S/GjRsHB4e6CSv19Zu+nFVhYSHmzZsHFxcX6OnpwcXFBW+88QYKCwubfE6OeRXR+vXrERERgbTTSbC14eQwyvL/XZXKMXX8aJg+pJ+/IAiI2rkXt/PyMHPKRLYcaKjSsjIciU9E8pmz8PXxRv9ePdl1rQXgmNeWQRAEXLmWgQOHj6KishJBvXvCr307fhCooa5dz8LaLVsxcfSIR84vce5SKrbt3t+kITz0eF8v/gELv/waV9PTYWrKtcZbkvoxr3nTBqh8zKvVqphGjXkdO3Ystm7d2mCbnp4eKioqGn39/Px8BAYG4vLly3B3d0dAQADOnz+P8+fPw9PTE/Hx8bCwsGj0efkXRiRlZWV4/fXX8I8332BwVTJ9PT1MHT8WTg52+O3PSNy4lfPAMfsPxSHzxg2ETwhlcNVAlZWViIk7ju9/W4Gi4mI8P30qxoQMYXAlUiKJRIK27m54cUY4BvXtjUPHEvDzilW4dPkq+Lm45nFzccKYYUOwcdtOZN+81WCfIAg4fPwEovccwIRRwxlcm8Gbc1+Gra0tPvrwQ7FLoaaSSFR/a6TAwED885//RHR0NHJyHnz/3BhvvvkmLl++jHHjxiE1NRXr1q3DuXPn8Nprr+HKlSt4q4mTkLHlVSTvvPMOoqKicCk5gYt0N5NHTc9/LPEkjp5Iwuypk2BhzpllNYlcLkfSqTM4Ep8IS4s2CO7XG04O9mKXRY3ElteWqaamBidPn8Xh4ydgbmaK4H694eLkKHZZpGQJyadw6Gg8Zk2dBCuLNvctW5eFKePGwPYZl62jRzsafwIDQ0YiKSkJHTtySb+Wor7l9c6MQSpvebX848AzzTYskUia1PKak5MDBwcHaGlpISsrCzb3NdRVVlbCyckJd+/exY0bNxrsexqcsEkEaWlpWLx4MXZsXs/g2owkEgl6BvjD3MwMm7fvwt3CQrQxM8Who/GYETaBwVXDXE6/ht0HDkFbWxtjQoagrbsrJ7YgUiEtLS109++Mzr7tcTwpBWs2b4OnmwuGBPWDKSck1Bg9/DujrKwcqzduwbSJodi+5wCqqqsRMW0KjDkDdbPq3bM7xowaieeff56TN7VETWwNfabriWTXrl2ora3FgAEDHginenp6GDVqFJYtW4Zdu3Zh5syZjTo3uw2rmCAIeOH5CAwJHoTgAUFil9MqeHu6Y+aUiTiemIxN23djTMhg2Nuyq7amKCwqQuSWbdi8fTd6BnTBizOmwsvDjX/UiUSiq6uL/r16YO6cGdDW0sIPy1YiLiERNTU1YpdGSjKgTyCsLNrglxWroa+vh5lhExlcVeTHb79CamoqVq9eLXYpRI90+vRpAIC/v/9D99dvrz+uMdjyqmKbN21CcsopXDqVKHYprYqJsRG0tbRgaKCPxJQzcHN2hoFB02dPI/HJ5XIcPZGEoyeS0MHHG3MjZkBmaCh2WUT0F2MjGUJHDIN/9g3s2h+DU2cvIGRQEDzcXMQujZ7R9axsZN28BT09XRjLZNDV1RG7pFbD0qINPnjnbcybNw+jR49ucndQEoEUKl4qR3WX+rvMzEwAgKPjw4eO1G+vP64x2PKqQuXl5Zg7dy7efH0u7G1txS6n1aipqcGGrTvg6GCHuXNmQk9PF7+vXof8ggKxS6MmSruajh+X/YnUK+l4btJ4jBk2mMGVSE25ODrgheemopt/J2yI3oH1UdtRVFwsdlnURClnz2PN5q0YEtQPz0+fgguXryAxpfGtJ9R0b7/+KmysrfHxRx+JXQo1glhL5RQXFze4PWkpSWUoLS0FABg+4r2ZTCZrcFxjMLyq0L8+/RQymQz/fO8fYpfSquw6EIvKqiqMGTYEenq6mDRmJLw83fH7qnW4npUtdnnUCAWFRVi7eSu27NyDXt27ImJaGBzt7cQui4ieQCqVood/Z8ydMwO6ujr4YdlKHD5+guvDtiCCIODA4aPYG3MYU0LHwN/PF6YmJpg8ZiT2HTqCDP49VRmpVIqfFn+Dn3/5BefOnRO7HHpaUonqbwCcnJxgamqquC1cuLDZH2r9fMCPGsL1LPMFs9uwily+fBnfLlqEbRvXcZImFUpMOY2Ll6/ghelTFN2apFIphgT1hYW5GVZvisKI4IHo5Nte5ErpceRyOeISEnH0xEn4tffBa3NmwtDQQOyyiKiRjGQyjB0+FF07dcTO/TE4fe4CQoKD4OnmKnZp9BjV1dWI2rkXt3JzMSd8Miwt2ij2OTs6YNjAIKzfuh3PT5sCczOuQaoK/XoFYuTwELzwwgs4evQo53loCUSasCkrK6tB93JVzOJvbFw3SV9ZWdlD95eXlwMAjIyMGn1uhlcVEAQBL734AoIHDsDQQQPELqfVuJaZhX2HjmDahFCYPmRMSNdOHWFuaooN23Ygv7AQA3oH8pe/GrpxKwdbd+2FtrY2ZoZNgIMdu9wTtXRODvZ4fvoUJJ06i43bdqKdlyeGDugHfX3ORaBuSkvLsHbLNmhraSEiPOyhHxz6+/kiJzcPkVuiMSd8EnR1dUWotPX5edHXaNupK9auXYupU6eKXQ49iUjh1cTEROVjo52dnQEA2dkP75FRv73+uMZgt2EV2BoVhRMnEvHr94vELqXVKCgswoZtOzBsYBCcHR0eeZy7qzNmh0/G2QuXsGn7LlRXswubupDL5dh/OA4rIjfCt50P5oRPZnAl0iBSqRTd/Tvh5VnTUVJahh+Xr8Ll9Gtil0X3uZ13B0tXR8KyjTmmTxr32B4vQwf0g8zQAFt27nmmLoH09KysLPHe229i3rx5KCkpEbscIoVOnToBAJKTkx+6v367n59fo8/N8NrM7t27h1defRXzXp8LB47NU4nKqipEbtmGju184O/n+8TjrSzaICI8DEXFJVi5biNKH9HFgVTnxq0c/LpyDdIzMvH8tDD0C+zO7vZEGsrUxBjhE8YiqHdPbIreha279qKiokLsslq9K9cysHzNenTp2AFjhw+FtvbjO+tpaWlhwujhuJ17B4eOxauoSnrvzddh0aYNPvnkE7FLoSeS/H/rqypuEK834bBhwyCVSnHkyBHk5uY22FdZWYno6GhIpVKEhIQ0+twMr83s3599BgN9fSx4/12xS2kVBEFA1I49kBkaYkhQ36e+n0xmiBmTx8PMzBRLV0Ui905+M1ZJj/Kw1lZrK0uxyyKiZiaRSODv58tWWDVxIvk01m/djhFDBqJ/r55PPaTG0MAAYeNG43hSCi6kXm7mKgmo68Hw8+Jv8cMPP+DChQtil0OPI5Wq/tbMlixZAh8fH7z//vsNttvZ2WHKlCmoqqrCK6+80mByvnfffRd5eXmYOnUqbJuw+grHvDajq1ev4quvv0bUujVsNVKR2KPxuJ13BxHTwxr9nGtra2PciGE4dCwey9asw4RRwzmJiArdP7b1+WlhDK1ErVB9K2zK2fPYFL2LY2FVrLa2FntiDuPcpVRMnzgOTg72jT6HtaUFxo0Yis3bd6ONmSlsbayboVK6X/8+vTBi2FC88MLzOHIkjvN3qCuRxrw2xo4dO/DZZ5812FZVVYWePXsq/v3xxx9jxIgRAIA7d+4gNTUVt27deuBcixYtQnx8PDZt2gQfHx8EBATg/PnzOHfuHDw8PPDtt982uj6ALa/N6qWXXsTAoCCEDAkWu5RW4XxqGuJPpiBs3GgYGjRtJlqJRIKg3oEYHjwQ67du59p1KsDWViK6H1thxVE35CYa6dczEREe1qTgWs/b0wN9enZDZFQ0ysrKlVglPcpPi7/BubPnsH79erFLoUdRZZfhJgblvLw8JCQkKG5AXa/G+7fl5eU91bksLS2RmJiI1157DVVVVdiyZQuKioowd+5cnDhxApaWTXuvJxE4qr5ZxMbGYvjw4biUkghnJ0exy9F4+XcL8OufaxE6fCh82noo5ZyZ2TewLmo7/Nr7YHBQX0hV0P2itbmTfxcbo3dCKpVibMgQhlYCUDce5r+Lf8L8119WyZT+pL4EQUDK2fPYG3MYHdv7YOiAfk8ce0mNV1RcjLWbt0FmaIiJo4crpaVbEARsjN6JyspKhE8IZWugCnzy+RdY/sefuHL1Kmd8ViPFxcUwNTVF/tzRMNHTUd11K6thsWQbioqKVD7bcHPiu/FmIAgC5s17A+FhkxlcVUAul2Nj9E74+/kqLbgCdWvXzQmfjCvXMrAuajuqqqqUdm4CTp27gN/+XAsPNxe2thLRQ9W3wr44Ixy3bt/G0lWRyL9bIHZZGuXGrRwsXRUJR3s7TB0/RmldtCUSCUYPDcbdwiIcPZGklHPS4334jzdRU1uDX3/9VexS6GE0cMyrGDTzUYksKioK165l4H+fLRC7lFZhb+wRSKVSBPfrrfRztzE3w+zwyaiursbytRtQzKnon1lVVRWidu7BvtgjmDhmBAb378sx4UT0WOZmppg1ZRLcXZzx68o1OH3+otglaYSLaVfwx7pN6NUtACMGD1T672I9PT1MGDUch48nIOvGTaWemx6kq6uL9//xNhZ88glKS0vFLoeoWTC8KplcLsc/3n4bL0XMhrm5mdjlaLyLaVdw5sJFTBg1vNkCkIG+PsInjIWdjTWWrorEzZzbzXKd1iAnNw+//rkWRcUleGlmOCfEIqKnpqWlhSED+mH8qOHYE3MIW3ftRVVVtdhltUiCIOBoQhKidu7BuBHDENjNv9m69drb2mBg397YGL0L9+5xCaTm9srzs2Fubo5vvv5a7FLo71rAmNeWgOFVyVasWIGS0lJ8+uF8sUvReIVFRdi2ex9GDQ2GuZlps15L6//Yu++4qO50f+CfoZeh9zaFofcq0gQFBRvYEEQTjTG72dxsy967d/fu3pvc7Gb3d7dks9ndbIklJopgoaooigUVCyAKFkDKDL33DsP5/UGJBZWBmTlTvu/Xi1cMDOc8KDNznvN9vs+jqoqNMdEI8vfF4dSTqHhSLdHzKRqKolBUeh8HU9Lg4eKMN7ZvgR6TSXdYBEHIISceF+/u3ome3j58+U0K2toX1jyEmCYUCpFz/iJu3y3Fnh0JYt1u8zJBfj6wsjBD1rk8kFYrkqWiooJfffhL/O73v0dnZyfd4RBPI8mrWJDkVYxGR0fxi1/8Av/xox+Qtv4SJhQKcSonF+4uTnB3dpLKORkMBkKXBWDTuhhknDmPwqIS8ia8AKOjoziRfQYFN+8geUs8IkOXk+ZXBEEsib6eHt5M3Ao3ZyccSElD8b0y8nq8ACOjozhyMgMtbe3Yt2sHrKQ0xobBYCA+dg1a2jpw5+49qZxTmSVt3QxHBx5+/dzIE4JmJHkVC3IFKUaff/45tLS08MH336M7FIV36XohJiYnEbMyQurndnVywO6kbbhZdBen8/IhFAqlHoO8aGppxT+/TsHExCTe3bMTHJYd3SERBKEgVFRUsDIsGDs2x+Nq4a25zrbE/Lp7enHgaBo0NTTw1o4E6OtJt/pFW1sLWzesRf61G2T7jRT8/pOP8fd//AP19fV0h0LMIg2bxEIxfyoa9PX14de//jU++sXPSPMZCXtSW4fi0jJs27gO6ur0jEywtrTAvl1JaGppRcqpLIyOkn08z7v34BEOp51EgLcXkrfGQ1dHh+6QCIJQQFy2Hd7dvQujo2PYfzQNXT2kG/HzBI1N2H80FY72XGyP30DbGBWWrTXCly8jNxqkIHplJIKWBeKXv/gF3aEQs8jKq1iQ5FVMfvvb38LWxga7k5PoDkWhDQwOIvNsHtZFr4SpiTGtsRjo6+Gt5O1QVVXFgZTj6OntozUeWTE1NYXzlwtw/vJVJG7aiNCgADLfjyAIidLV1cHObZvgyOVg/5FU1PAFdIckM8oePsbRkxlYFRaCmJUraN+2ERYUCCMDA5zOyyel3hL2p//3G6QdT8OjR4/oDoUAAAaknLzS/QNLBklexaClpQV//vOf8X+/+oj2NwVFNjU1hfTT5+Boz4G3hxvd4QAANDU0kLR5I3gcFvYfSVX6UQCjo6NIOZWF6jo+9u1KAo/DpjskgiCUhIqKCtasXIGYlRFIy8zB7ZJSpU6OKIrC5es3cTb/MhLjNyLAx4vukABM73/dvD4GdfWNKC1/SHc4Cs3f1xtroqPxH//+73SHQhBiQzItMfif//kfeHl6YuO6WLpDUWgFN+9gYGgI66JX0h3KM1RUVBC7KhIRIcvxzYl0lD+uoDskWnR2d2P/kTSoqKhg385EmBgZ0R0SQRBKyMfDDW9u34rrt4uQff4iJicn6Q5J6iYnJ5F+5hzKHj3G3uRE8LiydSORqauLLetjce7SVbR3dtEdjkL78+9+i/xLl3Dz5k26QyFI2bBYkOR1iaqrq3H48GF8+v8+oTsUhcavb0BhUTESNq6jba/O6yzz88b2+A04k3cJV27cUqo7/k9q67D/SCpcnHhI2rwRmpqadIdEEIQSs7W2wjtv7EBbewe+TjuFwaEhukOSmqGhYRxOO4Xe3j7s25kEc1MTukOalz2HheX+vjiZfQYTE2Rer6TYczlI2LoZH/z4x0p1XSKLGCoqUv9QRIr5U0nRT3/6U0SsCEfo8mV0h6KwRsfGkHH2PFZHhMPC3IzucF7JgcvB3uTtuPfgITLOnFf4O/4URaHwTglOZJ/F+uhViF4RRkrnCYKQCfp6enhrx3YYGujjy2+OoaWtne6QJK6jswv7j6bCQF8PbyZug66ubDfKiwxdDi0tLVy4ep3uUBTaH37zKzx4+BC5ubl0h6LkpL3qSlZeieeUlpbizJkz+Oz/fkt3KAot73IBTI2NZWa/zuuYm5li384kdPf24Ovj6RgaHqY7JImYnJxE5tk83CopxZ6kbfB0c6E7JIIgiGeoq6th8/pYBPp649CxE3hQUUl3SBJTwxfgQEoavNxcsXXDWtq68YtCRUUFm9auwb0Hj8Cvb6A7HIVlYWaGt958Az/54ANMTU3RHY7yImXDYkGS1yX48Y9/jLgN6+Hu6kx3KAqruo6PR5VPEBcbLVcda5lMXexOTIAeUxcHjqShs6ub7pDEamR0FN8cT0dXTw/eeWMHrC0t6A6JIAhiXgwGA2FBgdi2cS1On8/H9dtFClc+WXyvDGmZOVgbtRIrw4Ll6v3S2MgQUStCkXXuAsbHx+kOR2H95sNfoL2jAykpKXSHorxI8ioWJHldpEuXLuHOnTv47P9+Q3coCmt0bAw55y9idWQ4DPT16Q5HZOrqati2cR08XJ1x4GgaagWKMSi8f2AAh46dgLa2FnYnboMeU5fukAiCIF7LiWePPUnbcKu4FOcuXVWIBHZ2NNml64XYuW0zvN1d6Q5pUZb5esNATw8XC27QHYrCYjKZ+OG/vYuf/+xn5CYBXVRUpP+hgBTzp5IwiqLwH//xH9iZlAgbayu6w1FYs+XCfl4edIeyaAwGA6vCQxCzKgKpGdm4W/aA7pCWpKOrGweOHoettRW2x2+Qi7I0giCIWZYW5nh7ZyKqa/lIP50r130JxscncDzrNJ7U1GHfziSwbW3oDmnRGAwG4mJXk/JhCfv5T36MKYrCl19+SXcoBLFoJHldhIKCAlRUVOA3H/6S7lAUlryWC7+Mj4cbkrduwsWr13HhyjW5vOPf0NSMQynH4e3hio1rokhjJoIg5JKRoQH2Jm9HV08vjqVnY0wOV6H6BwZx6NhxjI2P4+2diTA2MqQ7pCUj5cOSp66ujvff/Q7+329/K9c3buQWKRsWC3L1uQgfffQRNsdthJmZKd2hKCR5Lxd+GY6dLd7emYiK6hoczzqN8XH5GQ1QVVOHIycyEBkajFVhIQpxQ4EgCOWlq6uD3UnbAACHU09iaEh+Guu1tLVj/5FjsLQwx65tm6GtrUV3SGJDyocl7yfffw9j42NITU2lOxTlQ5JXsSDJq4ju3r2LwsJC/JqsukqMIpQLv4yJsRHe3pmIkZFRfJV6AgODg3SH9Fr3HjzCyZwziFu7Gsv8vOkOhyAIQiw0NTSQvDUeJsZGOJhyHD29fXSH9FqV1TX46tgJLPPzQVxMNFRVVekOSaxI+bDkaWho4K0338CvfvUr0nlY2kjyKhYkeRXRxx9/jNg1q8Fh2dEdikJStHLh+ehoa+ON7VtgbmqC/UdS0dreQXdI86IoCjduF+Nc/hXs2BwPd2cnukMiCIIQK1VVVWxZHwtHHhcHjqbJ7CxYiqJws+guTp0+h/i1axAWFKiw75GkfFjy/vunP0FbayvOnDlDdyjKhTRsEgvF/KkkpKqqCmfPnsUnZNVVIhS1XHg+qqqqiF+7BgE+Xjh07ASqauroDukZFEUh73IBbhbfxe6kbeCyyc0agiAUE4PBQMzKFQgO8MPh1JOok7EVP6FQiDMXLqGwqBi7E7fCzdmR7pAkjpQPSxaTycSOxAT870cfyWUPDrlFVl7FgiSvIvj1r3+NsNAQeLjJZyt6WafI5cLzYTAYCF++DHGx0TiZcxa3S0pl4k2EoiicuXAJFdU12Ju8HVYW5nSHRBAEIVEMBgOhQQGIjYrAsfRs1NQJ6A4JwPRN3ZRTWWhoasG+XUmwsbKkOySpIOXDkvfxL36OxxUVKCgooDsU5UGSV7EgyesCNTY2IjU1Fb/671/QHYpCUoZy4Zdxd3bCm9u34NqtIpy9eJnWPSgURSHn/EXUCuqxJylBITpYEgRBLJSPhzs2rolCWtZpPKmltyKmp7cPB4+mQUVFBXuTExS+Iul5pHxYsszMTLEpbgP+938/ojsUghAJSV4X6He/+x18fbwRunwZ3aEonDElKhd+GVtrK+zblQhBYxOOpWdhbGxM6jFMTU0h+9wFCBqbsCcpAQb6elKPgSAIgm6ebi6Ij12NE9lnUVVTS0sMDU3N2H80FVw2Czu2xEFTU5OWOOhGyocl69f//UvcuFGIu3fv0h2KciB7XsVCMX8qMevq6sKXX36J//n5f9IdikK6UngbxoaGSlMu/DKGBtOzBykKOJhyHL19/VI799TUFLJy89DY3II9SQnQ12NK7dwEQRCyxt3FCZvWrsHJnLOoeFIt1XM/eFyJb05kICI4CGujIpV6pvZs+XBp+UM0t7bRHY7C4XJYiFkdjV99/DHdoSgHBqRcNkz3DywZyvuKKILPPvsMPHt7rI9ZTXcoCqe9swvF9+5jbfRKpSsXno+WpiaSt8aDZWuD/UdS0djcIvFzTieuF9Dc1o7didugx9SV+DkJgiBknZuzI7asj0X6mXOorJb8CixFUbhaeBun8/KRELcOy/x8JH5OeWBsZIjgQD+cvXhZJvpCKJpff/hLnD5zBlVVVXSHovjInlexIMnrawwODuLPf/4z/vMnP6I7FIVDURRyL15GgI83zE1N6A5HZqioqGBd9EqELw/E18fT8bBScm8os3tcm1pbsXv7VjBJ4koQBDHHxdEBm9fF4tTpsxLdAzs5OYnMs+dxt+wB3tqRAEd7rsTOJY/CgwIxODSEew8e0R2KwvFyd0N4aAh+88kndIei+EjyKhYkeX2Nv//97zA1NcHO7dvoDkXhPKioRGd3NyJDgugOReYwGAwE+fti28a1yD53Eddu3RH7HWeKopCTl4/6pmbsTiSJK0EQxHxcnRwQv3YNTmSfRXUdX+zHHx4ewTfH09HZ3YN3diXBwtxM7OeQd+rq6ohZGYGLV69jZHSU7nAUzse//C+kHDuGxsZGukNRbAwp73dlKGaap5g/lZiMjY3h97/7HX78/r8p9Z4TSRgbH8eFK9ewOnKF0jaiWAgnnj3e2pGA4ntlyMrNg1AoFMtxKYrC2YuXwRc0YHfiVugxyR5XgiCIl3F3dsLGmCgczzqDWn692I7b2d2N/UdToaurgz1J28hNxFdwceTBysIcl6/fpDsUhRMWshw+3t74/e9+R3coBPFaJCN7hcOHD0NNXR3vvbOX7lAUztWZJk2ers50hyLzLM3NsG9XEto7u/DNiXQMj4ws+ZiXrhXiSW0ddidthb4e6SpMEATxOp6uLtiwehXSMnPQ1NK65OPV1TfgwNE0uDk7IiFuPdTV1cUQpeJiMBhYGxWJ0vKHaG1rpzschfM/P/8p/vXll+jq6qI7FMVFyobFgiSvLyEUCvHJJ5/g3XfehqqqKt3hKJSOzi4Uld4jTZpEoMdkYk9SArQ1tXDgaBq6enoWfaxbJaUoKSvHroTNSjuaiCAIYjG83F2xMjwEKaey0NndvejjlJY/xLH0LKyJXIHoFWHkvXCBTIyNsNzflzRvkoANsWvAs7fHnz/7jO5QFBdJXsWCJK8vcfLkSQwODuKnP3yf7lAUCkVRyM2/An9vL1iYmdIdjlzR0FDH9k0b4OLIw4EjaeA3iL435cHjSly+VoidWzfB1NhYAlESBEEotuX+vvD1cseRExkYGBwU6XspisLFq9eRd6UAO7bEw9fTXUJRKq7w5cvQNzCI+w9J8yZx+88PfoTP/vxnDIr4e00sEENF+h8KSDF/KjH45Ne/xu5dydDS0qI7FIXyqPIJ2ju7EBm6nO5Q5BKDwcDqiHBER4Qh5VSmSJ0Xa/gCZJ+/gIT49bCxspRglARBEIotKjwUXJYdjpzIxOgCGwhNTEzgRNYZPKp6grd3JoLLspNwlIpJQ0MdMStX4MLV6wv+uycWZmfiNpiamuDA/v10h6KYVBjS/1BAJHmdR1FREZ5UV+O//v0DukNRKOPj4zh/uQCrI8OhRZo0LYmflweSNsfh/KWruHSt8LXlU82tbTiedQYbVkfBgcuRTpAEsUAURWFychITExMYHx/H2Ng4AGB8YgITE5MQCoWkRJCQKQwGAxvWRMFAXw+pGTmYnJx85eMHBofwVepJDI2MYN/OJFL5skSuTg6wNDPD5Ru36A5FoaioqODt3W/iz59/Tl5zJYGsvIoFgyK/nS/YtTMZvT09OH0yle5QFMrFq9fR0NSMPTsSyP4eMens6kbKqSxYWZpj09oYqKurvfCYrp4eHEw5jtBlAQgJ9KchSkKZCIVCDAwOon9g5mPmz0NDQxgbH8f4+MTcf8cnxjE2PoGJiYnXHpfBYEBTQwMaGurQ0NCApoY6NNSn/19bSwtMpi70mUzo6zGhr6cHfSYTOjra5LWGkKiJiQl8nXYKTKYuEuLWzzuZoLW9A8fSs8Fl2WLDmiioqb34Ok2IrrOrG//8OgVv70yEJRkvJDaDg4Ow4rkgKysLq1atojschdDf3w8DAwN0f/YT6GtLb/Gmf2QMxj/6I/r6+qCvQD1OSPL6nK6uLlhbWyMvJxMRYSF0h6MwOru78c/DKdi3M5HMsBOz4eERpGbmYGpqCkmbN4Kp++2ohcHBIRxISYOrkyPWRIbTGCWhKCiKQm9fP1ra2tHZ3YP+gQEMDA7N/XdoeBgMBgN6M8mknt50QsnU1YWmhsZzCajGXCKqqqoKFYYKGIzpUVqf/fMgfvSdvVDXUMfU1BQmJianV2Vnkt5vk+BxjIyOzSXMs/8dGR2FiooK9PWY0JtJavWYTBjoMWFhZgYrCzOyLYQQi+GRERw6dgJsWxusX73qmRsmT2rrcDInF6HLAhC+PJDcTBEzclNcMhJ3v43RsXFkZWfTHYpCIMmreJHbf885ePAg7LlckriK2bn8K/Dz8iCJqwTo6Gjjze1bkH3uAvYfSUXylniYm5libGwMR09lgmVjg9URYXSHScihpxPV5rY2tLS2o6WtHWPj4zA3NYGZiQn09ZgwNzWZSxD19ZjQ1dFZ0mzs2YtQLS3NRc+BnpiYnE5kZ5PamVVgfkMjbpWUoq9/AMaGhrCyNIeVhTmsLS1gZWFOtjQQItPR1saubZtw4OhxMHVvz/V0uH33HvILbiAuNhoeLmQsnCSsCF6Gvx38GuWPKuDl7kp3OArjZx/8CMtWrERTUxNsbGzoDkdxqKhMf0jzfAqIJK9PmZqawl/+8jl+8N67dIeiUGr59WhqbcPWjevoDkVhqampYfP6WBTcvI2DKcexZUMsbhWXgqmri7jYaHJHmnit1yWqVpYWcHVywKrwEFiYmcp86aO6uhqMjQxhbGQ479eHhoenf9bWdjQ2t6Co9D5JaIlFM9DXx66EzTh07Dj0dHXQ1tmFh5VVeCNhM+xsrOkOT2FpaGggKjwUl64Xws3ZUeZfl+SFr7cnPD3c8c9//AMf/+pXdIejOKQ9vkZBr/3Is/wpFy5cQH9fP/7tnbfpDkVhUBSFiwXXEbYsENqkRE+iGAwGIkKWw9jQEGmZOdDV0cH7b+8mc4qJeQmFQggam1ArqH8xUbUwl6tEdTF0dXTgwOU808Ds+YT2zt376B/4NqG1sbSEI49Dmu0Q8zI3NcHmdTFIzciBgR4T+3YmwcjQgO6wFJ6HqzNu3ClB8b0yLA/wozschfHuvrfxi48+xn//z/9AXV2d7nAUg7SbKClowybFuyJZgs/+9Cds3LAO2tradIeiMB5VPsHg0BCW+fnQHYrSGJ+YgLq6BiYmJnHpeiHWRK5YUgknoThGRkdRXctHVU0tntTxoa6mDgcuGy6OPIVOVBfqdQltrUCA/Gs3YKivDycHezg72MPO2oo8vwgAQF9/P/ILCmFiZIjhkRGoKOiYClmjoqKCqBWhyMrNg6+n+6K3GhDPemvXDvzio4+RlZWFbdu20R2OYmBAyiuv0juVNCnvVcpzBAIBLubno+xOId2hKAyhUIhL1wsREbJ83i64hPgJGptw/vJVJG/dBAM9PaSkZyEtMwdbNqyFpoYG3eERNOjp7UNldQ0qa2pR39gMMxNjODnY442ALbC2tCAl5a/xfEI7Pj6OGn49qmpqcTzzNChQcORy4exgDx6XTZ5nSqqppRXH0rPh4sjDuuiVOHvxMlIzcvDWju3Q0CCrVpLmaM+BqYkxCovuYmVYMN3hKAR1dXUkbNmMz/70J5K8igvZ8yoWJKOY8fcvvoCfrw9cnZ3oDkVhlJY/BIPBgK+nO92hKIXevn4czzqNNZErwLGzBQC8nbwdJ7LP4lDKcezYEg8DfT2aoyQkjaIoNDa3oKqmDpU1tejq7gHHzhaujg6Ij10DQwPF6ThIBw0NDbg6OcDVyQFTU1NobG5FVU0tLt+4ifQz58Cxs4Wzgz2cePbk+aYkHlU+QWZuHlaFBSPI3xcMBgNroyLxzYl0ZOXmYVvcOnKTSMIYDAaiV4TiyIkMLPP1hq6uDt0hKYSfffBDOHj64vHjx3B1JQ2xlozseRULkrwCGBsbw7/+9S/8+Q+/ozsUhTExMYGrhbexNiqSlNRJwfj4BFIzsuHm5IgAH6+5z2tpaSF5azzOXryM/UdSsWNLHKwtLWiMlJCEiYkJ1PDrUVlTiyc1dRBOCeFkz0VESBAcOGxSRichKioqYNlag2VrjeiIMHT19KCqug4PK6uQm38FFmamcOJNlxdbWZiTBEbBUBSFG3eKce3mHWzdsBbODvZzX1NVVUVC3Hp8+c0xFNy8g4iQIBojVQ52Ntbgsu1QcOsO1kZF0h2OQmDZ2SI0OBh/+ctf8MUXX9AdDkEAIMkrAODkyZPQ1NRE8vatdIeiMG7fvQd9PSZcnRzoDkXhURSFzNzz0NbSQuyqiBe+rqqqig1ronCz+C4Op57EpnUx5N9FQXR0daP4XhnuP3gEXR0dODnYY1vcOrBsrMlNIxqYGBkhONAIwYF+GBkZxZM6Pqqqa3A4rRT6ekwE+njBy92VdC9WAEKhEKfz8lHDr8eeHQmwsjB/4TG6OjrYsTkOB1OOw9zUhLzuSsGq8FB8+U0Klvv7kmZZYvLj97+H5Lf24Xe/+x2YTCbd4cg30rBJLEjyCuCzz/6ExIStpCurmIyMjOL67SIkxm8kKw1SUHDzNlra2vHOrh0v/R1mMBgICfSHsaEBMs6cR3dvL0IC/cm/jxwSCoWorK5F0b37aGhqgbuzE3YlbIaNlSX595Qh2tpa8HJzgZebCyYmJvGwsgrF9+7jYsENeLm5INDHi8y9llMjI6M4nnUao2Nj2LcrCfp6L7+gtzA3w6Z1McjMzYOxkSEszEylGKnyMTc1gbuzE67cuInN62PpDkchbFgbA1MTExw9cgTffZeMklwSBgOQZiM3Bb0mUPrk9f79+ygrK0dW2lG6Q1EY1+8UwcbSEly2Hd2hKLzHVdUovFOCvcnboaPz+i7ZLo4O2LNDH8fSs9DV04v10SvJTRs50T8wiLtl5Si5/wBqaqoI8PbCto3roKtD9nbJOnV1Nfh4uMHHww3NrW0ouleG/UfTYG1hjgBfL7g6Oih1l2d50tXTg2OnsmFqYoQdW+IX1IzJ1ckB7Z2dSM3Ixju7dizotZpYvMjQYPzt4GGEBPqTG0RioKKigjd27sBnn32G73z3u+Qm6VKQlVexUMyfSgR/+fxzrAgPh7WlJd2hKIT+gQHcuXsfUStC6Q5F4XV2dyMzNw+b1sWI9AZtZWGOfbuS0NLahqMnMzEyOirBKImloCgKdYIGHM86jc+/PITm1nbExUbj+/v2IDQogCSucsja0gLxsavxwbv74OLkgCvXb+Gzfx5E/rUb6Ovvpzs84hUEDY04cCQNTg722B6/QaQuwiuCg2BtYYFTp3NBUZQEoyQMDfTh7+2F/GtkeoS4fPBv30N9QwNu3rxJdyjybbZhkzQ/FJBSJ699fX04mpKCf//h+3SHojCuFN6GM49LmgJJ2MTEJE5mn4W/t+ei9lHp6+nhrR0JUFdXx8Gjaeju6RV/kMSijY6N4fbde/ji4Nc4kXMGRoYG+Le9byJ5azwc7blkP6sC0NbWQnCAH97ftxub18egs7Mbn3/5FVIzslFdxycJjoy5/+ARjp7KRNSKUKyJDBf5OchgMBC3djV6+/px/XaRhKIkZq1YvgyCxiYIGpvoDkUhGBkZYnX0Kvz5s8/oDkW+za68SvNDASl1ndLXX38NGxtrxEStpDsUhdDZ1Y2yh4/xvbd20R2Kwsu7UgA1NTVEhYcs+hgaGhpI3LQBF65cw4GjaUjctBEsW2sxRkmIqqOzC7dKSlH+uAIWpqYIW74M7s6OpKRUgTEYDPA4bPA4bPT1D6CkrByZZ/OgoaGOAB8v+Ht7ktmxNKIoCpdv3MSdu/eQtCkO9hzWoo+lqaGBbXHrcOjYcbBsbcC2tRFjpMTTdHS0ERLoj/yr1/FW8nZS6ioGP/vgR1ixei3a29thbv5igzJiAVSkvOdVmueSIsVMyReAoih8/uc/Y8+unXSHojAuXS+Ej4cbTIyM6A5FoT2qfIIHjyuxbePaJe9XVVFRQcyqCESGLseRk+koe1QhpigJUfT19yMrNw//+iYFUxSFt3Zsx9u7kuDt7koSVyVioK+HVWEh+PG7b2NVeAgeVz7B518ewu279yAUCukOT+lMTEzi1OlclD+qwNvJiUtKXGdZWZgjakUY0k/nYnhkRAxREi8THOCL7t4+VNXU0h2KQlgeGAAnJ0fs37+f7lAIJae0yWtJSQmampvwg3e/Q3coCqG9oxNPauvILDsJ6+ntQ/b5C4iLXQ1DA/GNAQj09cb2+A04e+ESrty4SUoWpWR4eATnL13FXw8chlA4hffeehPxsavnHbtBKA9VVVV4uDhj785ExMWsRsn9cvz1wGGUPXxMnptSMjg0hK/TTqKvfwD7dibBzNREbMde5usNawsLZOXmkX9PCdLQ0EDY8kBcLbxN/p7FZHfyDhw4sJ/8fS4W2fMqFkqbvB4+/BVCgoOhr69HdygK4frtYni7u0GPzACTGKFQiFOnz8LLzVUi8wIduBzs3ZmIew8eIf3MOUxOTor9HMS08fFxFNy8jc+/PISunh68vTMJWzbEkrmExDMYDAacHezx7u6diAxZjkvXC/HPw0fxpLaOXDxKUHtnF/YfSYWhoQF2J26Frq54G6PN7n9t6+jErZJSsR6beJa/lwf6+gdQy6+nOxSF8J233kRzcwtKS8nv7aKQPa9ioZg/1WtMTk4iJSUFu3fuoDsUhdDT24dHVU8QEuhPdygKLf9aIYTCKayJDJfYOcxNTbBvVxJ6e/vwddopDA0PS+xcykgoFOLO3fv4/Muv8KSWjx1b4pC8dRMsyTgH4hVUVFTg7eGG99/eDR9Pd2SezcNXqSfR0NRMd2gKp7qOj4MpafDxcMOW9bESK9vX1tLC1g1rcelaIZpaWiVyDgJQV1dHkL8PaZIlJgYGBggOWobDX31FdyjyaXbPqzQ/FJBSJq/5+fmgKCBp62a6Q1EIhUUlcHVygLGRId2hKKyqmjqU3C/Hto3rJL4HkqmrizcTt0FfXw/7j6Sio6tboudTBhRFofxRBf524GsU37uPDWuisDd5O9h2tnSHRsgRNTU1LPf3xQ/e2QMuyxZHTmQgNSMb7Z1ddIemEIpK7+N41mmsi16FyNBgiTf5sbOxRkRIEE7mnMXo2JhEz6XMAn290dzWjsbmFrpDUQi7dyXjaEoK2Ye/GAyGlFdeSfKqML46dBBRKyOhrr7wGW3E/AYHh3DvwUOELQugOxSF1T8wgMzc81gfvRImxtJphqWuroatG9bC080FB4+mkZKrRaIoCk9q6/DPw0dxseAGVoQsw7t7dsHFkUe6XxKLpqmpicjQYPzgnbdgoK+PL79JQebZ8+jtI3NiF2NqagrnLl3FlRu3sGvbZni5uUjt3KHLAmBiZITT5y+SUnAJ0dbSQoC3J1l9FZPkhK2YnJzEpUuX6A5F/pA9r2KhdMnr0NAQsrKy8d29u+kORSHcKikFl8WCBSl7lAiKopBx9jycefbwcneV6rkZDAZWhYUgdlUEUjOzUXK/XKrnl3dNLa04nHYSGWfPw9vDDd/ftxs+Hu5kRishNrq6OlgbFYn33noTFEXhbwcP49ylq6SLrQjGx8eRlnka1XV8vL0zESwpj69hMBjYvC4GgsYmlJY/lOq5lcnyAF/U8AVo7+ikOxS5p66ujqiVkTh08CDdocgfsudVLBTzp3qFrKwsmJiYYFXECrpDkXujo6MouleGsKBAukNRWEWlZejt68faqEjaYvD2cMPOrZuQX3ADeVeuYWpqirZY5MHExATOXbqKw2knwbK1wQ/eeQvBAX5k5A0hMUaGBti8Phb7diahq7sHXxz8Bo+rqukOS+b1Dwzg0LETmJiYwNs7E2nb+qKrq4O42NXIu1yAvv4BWmJQdHpMJrzcXHHjTjHdoSiE7+zdg8ysLAyTvhgEDZQueT108CDWr40lqx9iUHSvDJbmZmDZWtMdikLq6e1DfsF1xMWshoaGBq2xsO1s8fauRFRV1+J41mmMj0/QGo+sqm9swj++OormllZ8581krAoLgZamJt1hEUrCwtwMyVvjEbNyBXLOX8SpnLMYHiarsPNpbm3D/iOpsLIwx85tm6CtpUVrPI72XLg6OSCHlA9LTOiyADysfIKe3j66Q5F7q1dGwMjIENnZ2XSHIl9IwyaxUKoMrr29HZevXMF733mb7lDk3sTEBG6VlCIsiOx1lQSKopB1Lg9e7q7gsu3oDgcAYGJkhLd3JmJsbBxfpZ7AwOAg3SHJjNnV1iMnMxDg44U9OxJgamxMd1iEEmIwGPB0c8F7b72BiclJfHGIrMI+r+JJNQ6nnkSQvy82xkRDVVWV7pAAADErV6C9s4uUD0uIsZEhXB15KCwqoTsUuaeiooL1sbE4eOAA3aHIFzkpGx4dHcWHH34IJycnaGlpwdraGnv37kVjY6NIx+FwOGAwGC/9qKioWFR8SlXHlpqaCidHR3i5u9EditwrLX8IfSYTDlwO3aEopKLSMvT1DyB5SzzdoTxDW1sLuxI243RePr78JhXJW+JgaWFOd1i0qm9sQlbuBejqaOM7byaTpJWQCUymLhI3bcSDx5XIOX8RjyqrsDZqJXR0tOkOjTYUReFm8V1cvXELm9bFSGRe9lJoaWlhY0wUTuXkgsdhw4DMoRe70KBAHDiahoiQIDB1dekOR669/9234R8aiY6ODpiZkb4nCyLtJkqLONfo6CiioqJQWFgIKysrxMfHg8/n49ChQzh9+jRu3rwJHo8n0jF3756/z5CBweJm2ytV8nro0EFsid9IdxhyTygUorCoBNERYaRjqgTMlgsnbY6jvVx4PqqqqoiLXY0bd4pxKPUktqyPhbODPd1hSd3ExATyrxXiblk5VoaGIMjfh2xHIGTK7Cosl2WH0xfy8cWhb7B+9SqZS9qkQSgU4uzFy6iqqcPupG2wtrSgO6R5PV0+vHPbJvIeK2aW5mbgsmxxq6QU0SvC6A5Hrnl5eIBnb4/UY8fw/R/8gO5w5IOKyvSHNM8not/85jcoLCxEcHAw8vLywGQyAQCffvopfvKTn2Dv3r24evWqSMf8SsxzgZXmSuvJkyd48OAhKRkWgwePK6Gqogo3J0e6Q1E4slguPB8Gg4GwoEDEx67GqdO5uFV8V6n2aT2/tzU40I8kroTMml2FVda9sKOjozh6MhNNLa3YtytJZhPXWaR8WLLCggJRXFpGZuuKwZb4jTj01SG6w5Aj0h6TI9rNr4mJCfzlL38BAPztb3+bS1wB4IMPPoCXlxcKCgpQUkJv6b3SXG0dOXIE/r6+sLa0pDsUuUZRFK7fKUbIMn9ysS4BRaX30dc/gNUR8nFH2M3ZEbsTt+L67WKcvXhZ4TsRk72thLxS1r2wPb19OHA0DWpqangrebtclOLOlg+T7sOSwbK1gYWZKYpK79Mditz7t+/sQ3n5A1RXK/5riVjI+J7X69evo7e3FzweD76+vi98fdu2bQCAnJwcsfx1LJZSZB8UReGrrw4hOTGB7lDkXlVNLcbGxuAt5ZmjyqCntw8XC27IRHdhUdhYWWLfriTUNzYj5VSmwt7NJquthCJQplXYhqZm7D+SCh6XjaTNG6EpR6+rpPuwZIUtD8TtknuYnJykOxS5ZmNtBR8fb3zz9dd0h0KIwf370zd0/Pz85v367OdnH7dQv//97/Huu+/ihz/8If71r3+ho6NjSXEqxZXX7du30dnZhb1vJNMditwrKr2PAB9vMrNSzCiKQva5C/CW8XLhlzE00Mfe5AQwGCo4eDQNvX2KM4qAoihcul5IVlsJhTHfKqygQbQukrKu/HEFvjmRjoiQ5YhdFSmXN5pI+bDkOHA50NLSxCMlqD6QtOTtCTj89WFyk2UhpFkyvIjmUPX19QAAW1vbeb8++/nZxy3UT3/6U/zzn//E559/ju9+97vgcDg4sIRO1fL3ar4IX3/9NcJCQp6p3SZE19XTA35DE/w83ekOReHcf/gY3b29iJaTcuH5aGpqYseWOHBYdth/JA2NzS10h7Rko2NjOJaejYePq7Bv1w6y2koolNlV2MjQ5Th6KhNFpffl/gKUoihcuXELZ/IuYXv8Bizz86Y7pEXT0tLChjWrcOHqNYVdHacLg8FAgI8Xiknp8JK9s3sX2ts7UFRURHcosm+2YZM0PwD09/c/8zH2kgq5wZkRiDo6OvN+XXemQ/fgAkclxsXFIT09HQKBAMPDw3jw4AE++OADjI2NYd++fcjMzBTxL3Cawl+FTUxM4NixY3iLrLouWfG9crg68sBkkvby4jQ6OoqLV68jZmWEXJW1zUdFRQXrolciPHgZvj6ejgcVlXSHtGidXd3YfyQVFEXhnTeSYG5qQndIBCF2sxfxu7ZtxtXC28jJy5fbUsrJyUlknDmPew8eYm/ydoUY5ebEswfb1gb5127QHYrC8XF3RWtHB1rb2ukORa4xmUyEBi8Xe0dZhUTTyqudnR0MDAzmPn7729/OG97szcuXdTkX9ebm559/js2bN4PFYkFbWxvu7u744x//iC+++AIA8J//+Z8iHW+Wwiev+fn5UFVRQcJm2ZqXKW8mJiZw78FDBPjK711sWXX5xi1YmJkq1PiKID8fJMStQ875fBTcvCN3qzmV1bXYfyQVro4O2LElDlpaWnSHRBASxbK1wXfe3IG29g4cTj2JgQXeWZcVQ8PD+Pp4Orp7e7BvZxLMzUzpDklsYlZGoPxxBZpaWukORaFoaWnB09UFRffK6A5F7u3ZtRNpqakQCoV0hyLbGAwpN2yaTkIbGhrQ19c39/Hzn/983vD09KYb2g0NDc379eHhYQBYciXrvn37YG5ujqqqKtTV1Yn8/QqfvKanpyMkeDlUVVXpDkWuPaiogj6TCZaNNd2hKJTW9g7cLSvH2qhIhZvn52jPxd4dCSi5X46s3Dy5WM2hKApXC28j/XQuNsZEI2pFKCkTJpSGvp4e3tqRABNjI/zr62NyU/rf2dWNA0fSoMfUxe7EBIWrDjIyNEBIYIBSdHSXtkAfL5Q/rsDo6Cjdoci1hM1xGJ8Yx+3bt+kORbbRtPKqr6//zIempua84bFYLABAY+P8PRBmPz/7uMVSUVEBj8cDALS0iP4+o9BXZRRFISsrC1s3xdEdilyjKGqmUZOXwiVYdKIoCrkXL2OZnw9MTRSzAZCFuRn27UpCR1c3vjmRgeER2d23NTY+jhNZZ+ZKDt1dnOgOiSCkTk1NDfFr1yAsKABfHz+Fu2UP6A7plWoF9ThwNA3urk7YtnEd1NUVs5lg6LIADI+MkOZNYmZpYQ4LMzPcf/iY7lDkmoaGBgL8/JCRkUF3KMQSeHtPV1fevXt33q/Pft7Ly2vJ5+rp6QGwuFVchU5e7969i4GBAWwnJcNL0tzahq7uHniR8ThiVfaoAj19/YgIDqI7FInSY+piT9I26Gpr48CRNHR2d9Md0gu6e3px4GgaRsfG8M4bO2BhbkZ3SARBGwaDgSB/X+zYEo+LBddx5sIlmSwHvFv2AKkZ2YhZtQJR4aEKfXNVXV0NsasikV9wQ6ZvAsqjQB8vFN0rk7vtLbImbsN6ZKSn0x2GbJPxOa+hoaEwMDBATU0NSktLX/j6yZMnAQAbNmxY0l/Dw4cPUVlZCR0dHbi4uIj8/bQnrxUVFfi///s/REVFgcViQVNTE5aWltiyZQuuXbu2pGNnZWXBz9cH2traYopWORWV3oeXu6vcNxOSJaNjY7hw5RrWrAyXq5mui6Wuro6E+PVwdXLAgaNp4Nc30B3SHH59A748cgw8Dhu7EjZDh7xeEAQAgMuyw3fe2IHG5hZ8czwdIzJSWklRFC5cuYaLV68jeesm+HgoRwd8Zwd72Fpb4dK1QrpDUShuzo4YGRkFv16xxkVJ2xtJ2yGor0d1tXjGDw0PDyMzMxNvv/02vLy8oK+vD11dXXh7e+Pjjz9ecMdbmaLCkP6HCDQ0NPD+++8DAN5///1n9r5++umnKCsrQ1hYGAIDA+c+/9e//hUuLi4v7KM9f/48SkpKXjhHWVkZEhISQFEU9u3bt6hrYNqT1+joaPzsZz9DcXExXFxcsGnTJpiZmSEjIwMRERH47LPPFn3sjIwMrI+NEV+wSmh4ZAQPK6sQSBo1idWVG7dgbmoCd2flKU1lMBiIjgjDmsgVSEnPkonyt0eVT5CSnoU1kSsQs3IF2d9KEM8xNDDA3uTt0NLSxFfHTqB/gN4LxvHxCRzPOo2K6hq8vTMRHLv55xEqqthVEbj/8DGaW9voDkVhqKmpwdfTHUX3yNicpTA1MYa7qyuys7PFcryUlBRs3rwZBw8exNTUFGJjYxEeHo66ujp8+OGHCAwMRHu7nHWKlvGVVwD45S9/iaCgIBQWFsLR0RGJiYlYvnw5fvKTn8DExASHDh165vGdnZ2orKx8Ye/qzZs3ERAQAA6Hg6ioKCQlJSEoKAj+/v54/PgxIiIiXtr1+HVov1Jzc3NDSkoKOjo6kJeXh7S0NJSXl+Mf//gHKIrCv//7v+PRo0ciH7ehoQGPHz/GmzsSJRC18rhX/gg2VpZkTIgYtXV0ouR+mUI2aVoIX0937NgSj7wrBcgvuEFbqVZR6X1k5uZh28Z18CWziwnipdTV1bE9fgNsrCxxMCUNnV30lP4PDA7iq9QTGBkZxds7E2FibERLHHQyNjJESKA/zl68RMpcxcjf2xOV1bW035yRd6ujo3DyxAmxHEtDQwPf+973UFVVhQcPHuD48eM4d+4cKisr4evri4qKCvzoRz8Sy7mkhqaGTaLQ0tLC5cuX8d///d/Q0dFBZmYm+Hw+du/ejdLSUjg4LGwyRkxMDPbu3Qt9fX3cv38fp06dQnV1NcLCwvDll18iPz//pfNkX4dByfCrX0xMDPLy8vDRRx/hww8/FOl7v/jiC3zxxd/w4A4pr1ksiqLwly+/QtSKUNK8RkwoisLXaadgZWmBNZHhdIdDq87ubqScyoKVuTk2rVsDdXV1qZyXoihcuXELd0rvIXlLPOxIB22ZMzY2hv/3+d/xsx9876VdEQnpoygKl6/fRPH9MiRviYettZXUzt3a3oFj6VngsuywMSZaqScITExM4ItD32BFcBC58SZGKaeyYG1pjsjQYLpDkVsPHj2Gd1AoOjo6YGwsuUaUN2/eREhICDQ1NdHf3y/z26/6+/thYGCA7vPfQF93cQnbos47NAzjmDfQ19cHfX19qZ1X0mhfeX2V2a5Xzc3NIn9veno6oiIjxB2SUqnhCzAxOQEXRx7doSiM6jo+2jo7sSJ4Gd2h0M7U2Bj7diZhcHgYX6WexODg/HPFxGlqagqn8/KnOwrv2E4SV4IQAYPBwKrwEESELMc3x9PxpFb0+XyLUVVTh0PHTiDAxwvxa9codeIKTK+ER60IxeXrNzExIfsjyORFoK8XSu4/kMnmZPLCw80Vdra2yM3Nleh5ZvODsbExdHV1SfRc4sRgMKT+oYhkOnmtra0FAFhaWor0ff39/SgoKMAbSaRkeCmKSsvg5+Wp9BcK4kJRFPILbiB8+TJokdUkAICOjjbeSNgMU2Mj7D+airaOTomda3JyEieyz6ChqRl7kxNhRkrhCWJRgvx8EBe7Gieyz6DsUYXEzkNRFG6XlOJkzlnExUYjfPkyhb0YE5W7sxOYujq4U3qP7lAUBo/DhpqaKiqra+kORa5FhIfh1ExXWkmZzQ/U1dUlusJLyCaZTV5rampw+vRpAEBcnGhzWvPy8mBhbo4APx8JRKYc+gcGUF3Hh5+XB92hKIzyx5UYGR1DoM/S52MpEjU1NWxaFwNfTw8cSjkukdWcyclJHM86jf6BQby1YzsM9PXEfg6CUCbuLk5I2hSHMzOVDOI2NTWFsxcv49qtIry5fYtSNbdbCAaDgajwUFy/XYRRGekCLe9UVFQQ4O2F4ntldIci13YkbEXehQsYHx+X2Dn+/Oc/AwBiY2Pla2uJHDRskgcy+VNNTk5iz549GBsbQ2JiIvz9/UX6/oyMDISGkD0LS1H+qBJcli25yBcToVCIy9cLsTJsOdTU1OgOR+YwGAxEhARhw5oonMg+izt3xdf1cWJiEqkZORgeGcUbCZuhra0ltmMThDKz57CQtCUOuRev4G7ZA7Edd2xsDMfSsyBobMK+XYlS3VsrT+w5LFiZm+PGnRfHURCL4+XuCkFjE2nctARrolZCQ10dBQUFEjn+2bNnceDAAairq+NXv/qVRM4hMSR5FQuZ/Km+//3v4/r167C3t8cXX3wh0vdOTk7i7NmzSNy6WULRKYeyRxXwdHOlOwyFUXK/HOpqavAif6ev5OHqjDcSNuPqzVvIzb+CqampJR1vcnISaZnZGB8fxxsJm6GlRRJXghAnLssOyVvjcf5yAUruly/5eL19/TiYchwUBexN3g5DAwMxRKmYGAwGolaE4vbdUgzI48xLGaTH1AXHzhYPHlfSHYrcUlFRQdCyZUg/dUrsx378+DF27doFiqLw+9//fm7vq9xgSHnGq4Jus5B48rpnz54XPjIzM1/6+I8//hj/+Mc/YGFhgfPnz4tcy37z5k1QU1PYELtmiZErr7b2DvT09cKVNGoSi/HxcRTcvINV4aFkjugC2NlYY9/OJNQJ6pGakYOxRZYeTSeuORgbn8DOhM3yVVpEEHKEbWeL5K3xyLtcsKT5zY3NLdh/JBUsWxskb40nvQEWwMbKEg5cDq4W3qY7FIXh5eaCskeP6Q5Drm2J34DMrCyxjnNqbGxEbGwsenp68MEHH+CHP/yh2I4tNWTlVSwk/lMdPnz4hY979+7N+9i//e1v+PDDD2FgYIBz584teJbQ07KyshAYGCC1sRuKqOxxBZwdeDLfelxe3CwuhbGhAZwd7OkORW4YGRpg785ECIVCHEo5jr7+fpG+XygU4kT2GYyMjmLntk3QJL/LBCFRbFsb7NgSh3P5V3D/geiz2R9WVOHr4+kIXx6IddEryY0+EawKD8H9h4/Q1dNDdygKwcXJAV09vWiXYANBRbdj2xZ0d3fhwQPxbCfo7OzE6tWrUV9fj7feegt/+MMfxHJcqZODOa/yQOLvDhRFvfDx0UcfvfC4o0eP4vvf/z50dHRw5swZ+Pj4LOp8GenpiF+/bmlBKzGKolD+qBJebi50h6IQhodHUFhUgqiIMNIlU0RamppI3jo9S3L/kVQ0tbQu6PsoikLG2fMYGBzCrm2byeoNQUgJh2WHxM0bcebiZVQ8qV7Q91AUhWu37iD7/EVs27gWQf6+5LVSRKbGxvByc8Xl6zfpDkUhaGpowMXBHmWPJddJW9ExmUx4e3khMyNjyccaGBjA2rVrUVFRgS1btuDLL7+U39cIBkPKK69y+vf0GjJxa/Ps2bPYs2cP1NXVp5sthYYu6jiVlZVoaGzEzu3bxByh8uA3NEI4JYQ9m0V3KArh2q07YNtag21rQ3cocklVVRXrV69CSGAADqedwuOqV18QUxSFc5euoqW1HTu3biJ7XAlCyuzZLGxZH4P0M+chaGh85WOFQiGycvNQfK8MbyVtgxOPVKcsVkTIclTV1KK5tY3uUBSCp5sryh9VirXsVdmsj12DU0vc9zo2Nob4+HgUFxcjJiYGx44dI+MbCfqT1xs3bmDbtulkMy0tDWvWLH6vanZ2Nrw8PWBkZCim6JRP2aMKuDs7kRcHMegfGEDx/TJEhS/uZgwxjcFgIDjQD1s3xCLz7Hlcv1300guK67eL8KiyCrsSNkNXV0fKkRIEAQAujg6IWbkCqRk5L53dPDwygm9OpKO9swv7diXB0sJcylEqFn09JgJ9vXHpWiHdoSgEHoeFyclJCBqb6A5Fbr2RlITyBw/Q0tKyqO8XCoXYsWMHLl++jPDwcKSnp8v/djZSNiwWtM/s2LBhA0ZGRsDlcpGZmTlvM6ewsDDs27fvtcfKzMhAeGgIKIqS35ICGk1OTuJx5RPsSiCdmsWhsOguHO25sDA3ozsUheDswMOeHQk4lp6F7p5erF+96pmbLKXlD3HjTjH2JG6DkSHpUEoQdPL39sTg0DCOnszA3uREGBroz32tq6cHKaeyYG5iguQtm6ChQXpUiENoYAA++9cBNLe2wdrSgu5w5JqqqircXZxQ/qgCHDtbusORS7Y2VuBwODh9+jTeeecdkb//r3/9KzJmyo5NTU3x3nvvzfu4P/zhDzA1NV1SrFIj7SZKCtqwifbktbe3FwBQV1eHurq6lz7udcnryMgI7hQVIWj5cnz69y/B47Bhz2GDx2aRFZgFqqqpg66ODmysLOkORe4ND4/gbtkD7EkiJeziZGVhjn27duBYehaOnMzA9vgN0NbSQmV1LXLzLyN5SzxZwSEIGbEieBkGh4Zw5GQG9u7YDh0dbfAbGnE88zR8vdwRvYL0AhAnHR1t+Hl54MbtYiTEr6c7HLnn5eaCIyczsDYqksxnXwCKotDe0YlqvgC1/HoIGpvA4bBx7lzuopLXnqcakGW8Yu/sRx99JD/J6+wIG2meTwHR/mwU136CmzdvwtDAAP/34X+hqaUVNfx63Cq+i8yz52FhZgoelw0ehw2WjTUpiX2JskeP4enmTC4mxOD23Xuws7Yid78lQF+Pibd2JCD9zDkcOJqGVWHByMy9gE1rY8Bh2dEdHkEQMxgMBtZGReJkzlmkpGfCx9MdeZcLELsqEn5eHnSHp5CCA/zxl/1fobO7G6YijhoknmVjZQkdbW08qeXD1Un06RfKYGhoGLWCetTwBajhCzA2PgEuyxbODvZYF70SXFsrfPCfP19UReRHH300b4NXuUZWXsWC9uRVXC5fvgxPDw+oq6uDw7IDh2WHqBWhGBoeRi1/+omVfjp37ollz2HDgcOGsZEhSdYAjIyMorpOgNWR4XSHIvfGxsdxp/QetsdvoDsUhaWhoYHt8Rtw5sIlnMg+i2V+PnBzdqQ7LIIgnqOiooLN62Lwl/2HkXvxCpK3xoPHYdMdlsIy0NeDp6szbtwpQXzsarrDkWsMBgOeri4of1RBktcZQqEQDU3NqJm5rm5t74CluRnsOSxs3bAWds8tEG2MjcGed95FdXU1HB3Je7TU96EqaH6jMMnrxYsXsXpl5Auf19XRgaebCzzdXOZKGmr49aiqrsWFK9fA1NUBj8OGA5cDLstWabuTPqysgqW5GUyMjOgORe6V3C+HiZER2ScjYVNTU2jr6ICttRXulpXDxtICXu6udIdFEMRTJiYmkZmbBxUGA9pammjv6CLJq4SFBgXgH18dxcrQ5dDX06M7HLnm5eaCv391BCOjo9BWwutDiqLQ3duLmrrpldW6+kZoaqiDx2EjOMAP9q/ZmqevrwdHBwdcvnyZJK8AWXkVE4VIXoeHh1FcXIwvPv39Kx/HYDBgYW4GC3MzhCzzx8TEBASNTaiuE+Dy9UKc6O6BrZXl9Koslw1rSwulGZRe/qgCnmS265JNTk7iVvFdrIteRVb0JYiiKJy5cAkAsDtxKwSNTTiRfQZdPb2IDF1O/u4JQgYMDg0hNSMHKioqeOfNHejt68fhtJMwNzMhCawEmRobw4nHRWHRXcSuiqA7HLlmYmwECzNTPKp8An9vT7rDkYrRsTHUCRrmSoEHBofAtrWBPYeFVWEhMDczFek9dlmAPy7k5eE73/mOBKMmlIlCJK+FhYUwMjSEt6e7SN+nrq4OBy4HDlwOAKCvf2C6dr+Oj9t3SwFqembd9H5ZFgz09V99QDnV29ePxpZWUuYqBvcfPoaWpiacHci8QkkqKr2P6jo+3nkjGWpqauBx2Hg7OREp6Vno7ulB/No1pMEGQdCovaMTKelZYNlYIy52NdTU1KCro4N10StxMucsvvNGMukKLkFhQYH4KvUkVixfBh0dbbrDkWtebi4of1yhsMnr1NQUmlvbppPVOgEaW1phYmwEHoeN9atXgW1rA3X1xXcEj10dhe//5KdkEghAyobFRCGu7q5cuQJPD48lr5Ia6OvB19Mdvp7umJqaQktbO6rrBLj/4BFO5+XDxMhwblWWbWurMO39K2tqwba1IV2Zl2hqagqFd0qwIiSIvEBLEL++ARcLruONhC3Q12POfd7M1AT7diYhNTMHh9NOIWnTRvI7TRA0qK7j42T2WQQH+mFF8LOvhz4e7mhp60BqRg7e3rld/uc2yihrSwvYWVvh9t17WBkWTHc4cs3VyQHnLxdgeGQEOtqKcSOgr39gbmW1VlAPAOCxWfDxdMfWjetgoC++cvMNsWvw5r7v4smTJ3BychLbceUSKRsWC4VIXi9evIjY1VFiPaaKigpsrCxhY2WJiJAgjI6NgV/fgOo6Ac5evIyBwSGwbKzB40yvylqYm8ltwlJVXQsnslK4ZI+qnkA4JYSHi5K/OEtQX38/TmSfRczKCNjZWL/wdV1dHexO3Iqs3DzsP5qK5C3xMDM1oSFSglBORaX3ceHqNWxcE/3SrShrIsNx5EQGsnIvYFvcOrl975R1YcsDcTzrNEKW+UOT3CRYNH09PViam+FJLR/ectpXYXx8AoLGxrnV1a6eXthaW4HHYSMk0B9WFuYS2ybHZDLh4MDD5cuXSfKqojL9Ic3zKSC5T16HhoZQUlKCf3z2B4meR0tTEy6ODnBxdABFUejp7UN1nQC1AgEKbt6Guro6eBzWzHxZFpi6uhKNR1xGx8bAb2jEhjXiTf6VDUVRuHG7GCGBAWQUk4RMTEwgNSMHrk4OryzfUlNTw5YNa3Hlxi0cSElDQtx6sr+OICRsamoKeVcKUP6oEru2bQHL9sWbS7NUVVWxLW4dvvzmGK7fLkL48mVSjFR5cOxsYWJkhJL75QgJ9Kc7HLnmxLNHVXWt3CSvFEWhraNzrtFSfVMz9Ji64HHYWBUeCi7bDlqamlKLJyggAHl5efjud78rtXPKIgaDIdWbdYp6Y1Duk9fCwkIYGRnBy0O0/a5LwWAwYGxkiGVGhljm5w2hUIjG5hZU8wW4VVKKzNy86dmynOnZsnY2VjK7/666jg9TYyOy92iJ6pua0dvfD19PN7pDUUgURSHn/EVoqKtjbVTkax/PYDCwMiwYJkaGSMs8jTWR4Qjw8ZJ8oAShhMbGx3EqJxc9fX3YtytpQe8nujo6SNy0EYeOnYCFmRmceFwpRKpcGAwGggP9cPHqdSz391WaBpSS4Oxgj5tFJZicnJTZ67mhoWHUCOrnEtaJiQlwWHZwcXTA+jWrYGxI32jItWui8d6PfkL2vTIYUi4bVsy/a9l8BorgypUr8Pb0pPVFWVVVFWw7W7DtbBEVPjNbVlCPWn490s+cw9j4GDh2dtMrs1w2TIyMZObJW1VdCyceKRlequLS+/DxcF9SUwPi5W7fvQd+QxO+8+YOkVa2vdxdYWCgj7TMHHT19GJ1RBi5gCMIMerrH8Cx9CzoaGvj7eTtIo2bs7Iwx8aYKKSfycV339xJbqJKgIsDD+fyr6KGL4CjPblBsFiW5mbQ0tIEv6Fxrskn3YRCIeqbmueS1baOTliam4HHZWNb3DrYWVvJTCXY+pjV6O/vR1VVFZydnekOhz6kYZNYyH3yevHCBayXsUHcujo68HR1gafrzGzZzi7U8AWoqqnDhavX52bL8jhscNl2tM0OEwqFeFLLx85tm2g5v6IYHBzC4yc1+N5bu+gORSF1dnXj0rUb2LVty6LK8dm2Nti3Mwkpp7LQ09uLLetjSZMYghCD5tY2HEvPhhOPi3XRKxd1oezp6oL6xmZkncvD7sRtMnNjV1GoqqrC39sDRaVlJHldAgaDMV06XFNHW/JKURS6enpQw59eXeU3NEJTQwM8Dgshy/ynZ67qyGaTQl1dXTg5OuLSpUvKnbwSYiHXyevg4CBK7t7Fl3/9E92hvBSDwYCFmSkszEwREuiPiYnJmU3z9bhSeAsnc87Cxspybr+sjZWl1FaGGpqaoaqqChsrS6mcT1HdLX8Ijp0NTIyM6A5F4UxNTSHr3AX4e3u9cg/d6xgbGeLtXYk4nnUah46dwI4t8c90KiYIQjSPq6qRefY8IkKXIzjAb0lJ5+qIMPz9qyMoKi3DMj9vMUZJAICflyeu3z6Ent4+srq9BM4O9sg5n4+1UZFSu8kyOjqK2qdmrg4ODYNtawMeh42oFaEwNzWRmxs+QYEBuHDhAr73ve/RHQqNpNxtGIpZaSbXyWthYSFMTUzg5eFBdygLpq6u9sxs2f6Bgem7aHwB7ty9D4qiwGXbza3MGhpIbrZsZXUtnHhcuXnhk0VTU1MouV++oH2YhOhuFZdieGQEq8Qw6kFbSwu7tm3GmQuXsP/IMezYEg8rC3MxREkQyoOiKBQWlaCg8DY2r4+Bi6PDko+poaGBuJjVSM3IhqM9hyRYYqavx4QTj4uS++WIjgijOxy5xbGzxejoKNraO2ApofeOqakpNLW0zl0XNrW0wnRm5uqGNVFLnrlKp9g10Xj3+z9S7n2vpGxYLOQ6eb18+TK8POUncZ2Pvt6Ls2Vr+AKUParA2YuXYWRoMJfIcuzEN1uWoihU1tQiZuUKsRxPWVXV1AEAaTYiAZ1d3bhSeBO7tm0R25u1qqoqNsZEo/BOCb46dgJbNsTC2YEnlmMThKITCoU4c/EyqmvrsGdHglhv/nDZdvBydyXlwxIS6OONkzlnERm6XGYbDsk6NTU18LhsVNbUijV57evvn55ewa9HraAeDAYD9hwW/Lw8kBC3Dvp64pu5Sqd1q6MwODiIiooKuLrKR9dmsSOjcsRCrl/B8i9exIZ1sXSHITZPz5ZdERyEsbEx1NVPz+U6l38FfQMDYNlazyWzlkuYLdvZ1Y2BwUHYs1li/imUS/G9+/D3prdhmCISV7nwfBgMBkKDAmBsZIj00+cQGRqM5QG+5GKZIF5hZHQUJ7LOYGR0FPt2JUnkgpqUD0sOh2ULbW0tPKp8Ai85Gfcii5x59rh99x4iQpYv+hizM1enE1YBunv7YGtlCR6XjZBlkp25SiddXV04Ojrg8uXLypu8kpVXsZDb5HVgYAB3S0ux/4vP6Q5FYjQ1NeHiyIOL4/TKUHdP79y+h2u3iqCupgZ79nQHY56Is2Ura2phz2bLbfmJLOjq6QG/oQmb1sbQHYrCEWe58Mu4OjnAQF8Px9Kz0NXTg7VRkTLTmZEgZEl3Ty9S0rNgYmSEpM0bJdbwjJQPSw6DwUCgjxeK7pWR5HUJHO25yDp3Af0Dgwvum0BRFNraO1DNn15drW9qhj6TCR53et8ql2UHTSnOXKVT8LJlyMvLw3vvvUd3KPRgSHnPq1T310qP3CavN27cgKmpCbzclWeuprGRIYyNDBHoOzNbtqUVNXUC3Ll7D1m5eTA3NZlJZNlg2Vi/sjSoqroWPp7Sm42riIrvlcPVkQcmU/QOuMTLSaJc+GWsLS2wb9cOHEvPQsqpLCTErRNp1AdBKLr6xmakZebAy80FqyPDJb4iRMqHJcfb3RX5126gpa2d7PdfJB0dbdjZWKOqpvaVs8MHh4ZQO7NvtYZfj4mJCXDZdnB1csCGNVEwNjKUXtAyJHZ1NN55733l3vdKLJncJq937tyBm4vy3j1UVVUF29YGbFsbrAoPwfDwCGoF0y+UmWfPY3RsDBw7W9hz2HDgsGFi/O1s2aGhYTS2tCIhfgPNP4X8mpiYwL0HD5G0OY7uUBSKJMuFX8ZAXw9vJW/HqZyzOJhyHDu2xJMVH4IAUPaoAqfzLmJ1RDgCfaVXxvtt+fB9LPPzkdp5FZ2WlhY8XV1QfK8MG2Oi6Q5Hbjnz7F9IXicnJ9HQ1IJqPh+1/Hq0dXTCysIcPA4bCXHrYCtDM1fpFBMVif6BAQgEAnA4HLrDkT5SNiwWcpu8FhUVwUOJVl1fR0dHGx6uzvBwdQZFUejo6kZNnQDVtXXIL7gOXR0d2HOmy4uHhoZhbWkOPbJiuGiPq6qhx2SCZSOdBEtZSKNceD6aGhpI2hyH85cLsP9oKpI2bYQd+bcllBRFUbhaeAu3ikuxPX6D1OdazpYPH8vIhqM9l9xMEqMAHy8cOnYcMStXkHnXi+TkwMWl64Vobm1DQ1MzavjTM1e1NDXB47ARuiwA9mwWdHS06Q5V5jCZTNja2KCkpEQ5k1cwZj6keT7FI7fJa3FxMXZu30p3GDKJwWDA3NQE5qYmCA70w8TEJOobm1DDF6Cg8DbaO7ugz2Ti8vWbcOBKd7asoih7VAFvN1dS9iJG0iwXno+KigrWRkXCxMgQ35zIQFxMNDxcyTB1QrlMTk4i69wFNDQ1Y+/ORJibmtASB5dtB29SPix2luZmMDQwQEV1LbzcXOgOR66MjI6ibmbmKjU1hQNH08Bl2YLH4SB6RRjM5GjmKp0cHR1w584dbN2qhNfwZOVVLOQyeW1tbUVbWxuiVoTTHYpcUFefbu/O47JBURT+8Ld/wcvdBd09PTh27z6mpqZgz/q28ZOhAbnL/SqDQ0Ooq28gZVdiREe58Mss8/OBkaEBTuXkoqunFyuCl5ELEkIpDA0PIy0jBxRFYd+uJJGaAEoCKR8WPwaDAU9XZ5Q/qiDJ62t8O3NVgJo6AZpa22BmYgx7Dhv2HBZMjI0RuyqC7jDljp+PN27dukV3GPQgyatYyGXyWlJSAhtra5iZmdIditzp7O7B+MQ4IkKmZ71RFDU3W7Z8drasgQHsOSw4cGdny5LSoqc9qKgCy8YaBvqKMXtNFtBVLvwyjvZcvJW8HcfSs9Dd04ONMdFkNiKh0Do6u5CSngUbK0vEx66Bujr9v++kfFgyPF1dcOXGLQwODdF+g0LW9Pb1z011qBM0gKHCAI/Ngr+PJxLYG+Y6DJc9qsDtklKao5VPK0JD8I8vDyhp0yZSNiwO9L87LUJJSQkcHR3oDkMu8esbYGf9bSdiBoMBa0sLWFtaIHz5MoyNjYHfMD1/7PylAvT294NlYz3XxXgps2UVRfmjCvh7e9IdhsLoHxiktVz4ZSzMTLFvZxJSM7PxzfF0JG7aSPYwEQqpll+P49mnsczPBytDg2XqNZ7LtoOXmwty868geWs83eEoBEMDfdhZW+FhRRWC/H3pDodW4+Pj4Dc0za2u9vT1wc7aCvYcNsKCAmFpbjbvtiqOne1cc0wtJRlzIy4RocEYGhpSzqZNZOVVLOQyeS0uKoKHG2nWtBj8hkZwWLYv/bqmpiacHXhwdpieLdvT2zf3on7tVhHU1FTBY7PA40wns8o2JqazuxttHZ1wcyI3T8TlauEtONlzaS8Xng+TqYvdiduQeTYP+4+mInlLPExNjOkOSyFRFIWpqSlMTVEYGx8HML3/Ul1dHQwGQ6YSKkVScr8c5y9fxfroVfD2kM331ZVhwfj8y68gaGwC29aG7nAUgqebC0rLHyhd8kpRFFrbO+ZWV+sbm2Ggrwceh43oiDBwWbYLmrmqr8eEkaEB6hub4MSzl0LkioM0bSKWSi6T16LiYiSTZk0ioygK/IZGBImwd8jI0AABPl4I8PGCUChEU0srqvkCFN27j6xzF6Zny84ksizbV8+WVQTljyrhxOOSWaBi0tndjbJHj/Hunl10h/JS6urq2Ba3DpeuFeLA0TRsj98ALtuO7rDkysjIKNo6OzEwMIiBwSEMDA1hcGgIA4ODGBwcxsDgIMYnJl74vj988eXcn3V0tKGnqws9pi6YTOa3f9bVhaGBPsxNTcgoChFMTU3hYsEN3Ct/iJ1bN4Ft9/KbmnTT1dFBSKAf8q9ex1vJ28mNDDFwc3ZEbv4VdPX0wMTIiO5wJGpwcAg1gnrU1AlQK6jHxOQkuCxbuDk5YuOa6EXPXOXY2YJf30iS10VQ2qZNpGpYLOQu02hrayPNmhaps6sb4+MTsLa0WNT3q6qqgmVrA5atDVaFhWB4ZHa2bD0yc/MwMjoKjp3NdDLL5cD0qdmyioCiKJQ9eoyYlSvoDkVhXL52E97ubjJ/8cRgMBC1IhTGRoY4lpGFtVEr4evpTndYMmlkZBQtbe1obmtDS+v0f3v7+mGgrwd9PT3o6eqCydSFhZkpHGaqN/SYTGhpakBFRQUqKiqYmJjAZ/88iB/s2wM1dXUIhUIMj4xgYHAm+R2cTn5b2zswODSE7t5eTE4KYWFmCisLc1hZmMPa0oIktC8xPj6B9DO56Ozqwdu7EmX++QcAwQF+uFN6H1U1tXOVQcTiaWtpwdGeg/JHFYgMlY1eA+IyOTmJ+qZm1NRNr662d3ZNz1zlspHgsx62VpZieV3gsGxxs+iuGCJWPn4+3rh18ybdYdCAZK/iIHfJK2nWtHh19Y1g2YhvdVRHWxseLs7wcJmeLdvZ1Y1qvgDVdQLkX7sBHW0d8DjTJcb2bBa0teV7tbKxuQWjY2NSn3moqJpaWvGkrg7f37eH7lAWzNfTHUYG+kjLOo2u7h5ErQhVqBs0izE+Po4afj0qq2sgaGxCb18/DA30YW1hAStLc/h5e8DKwhw62gvfLzw2s8dMR0d7roTP0EAfwPw33iiKQk9v31zC/KCiEheuXptLaHkcNpwd7GFtaaH0/179A4NIzciGpoYG3t6ZKDevyxoaGlgRHIT8a4VwtOeS8W5i4OXmigtXryEiZLlcPy8oikJnd8/cFid+QyO0tbTA47AQtjwQ9izJzFzl2Nkh48x5jI6OkmosESlt0yay51Us5C55LS4uhpOjI91hyCVBQ6PESsMYDAbMTE1gZmqC4AA/TE5OQtDYhBp+PQpu3sGp07mwtjQHj8MBj8OGrbX8zZYte1QBNydHhS+NlgaKopBfcANBfr7QYzLpDkckHJYd9u1MQsqpLHT39GLz+hiZajQlDf0DA6isrkVVTR3q6htgZKAPJwd7bFgTJXKiKg4MBgPGRoYwNjKEh8v0bN7ZhLaxpRVPauvwzYl0qKupwYlnD2cHe3BZLJnoqCtNLW3tOJaeDR6HhQ1rouRuVTrA2xO3iu+i7FEFfGR0f648cbTnIOtcHppaWmFrbUV3OCIZGR2drvyqE6CGX4/hkWGwbW3B47KxOjIcZibGEk+K9Ji6MDYyhKCxiVQDiEhpmzYxIOXkVXqnkia5e+cuLiqCu5sr3WHInbn9rlJqzqCmpja3FxaR4RgYHEQNvx41fAGKM8sgFArBZdvNPUbWRyAIhUI8rKxC4qaNdIeiEGoF9Whpb8f2+PV0h7IoJsZGeHtXIo5nnsZXqSeRtDkOegrevGxwaAil5Q/xuKoare0dYNlYw8nBHrGrImBiLHtlp08ntF5uLhAKhahvbEZlTS1y869gcGgYPA4LXm6ucHawl7tETlSV1bVIP3MO4csDEbosQC5XO1RVVbEyLASXrt2Ah4sTuZG4RGpqanBzdkLZowqZT16npqbQ2Nw612ipubUNZiYm4HFYiIuNBsvGhpabUbP7XknyKhrlbdpEyobFQe5e+YtJs6ZF6ejswsTkBGysFrffdan0mEz4eLjBx8PtmdmyDyoqkZt/BYYG+nOJLIdlC00Zmy0raGyCqooqWDay1xFX3syuuoYFBcp1qZWOtjZ2JWzG6bx87D+Sih1b4mBpbkZ3WGJFURQamppRdK8Mj6uqwbGzQZC/LxztOVJfXV0qVVVVcNl24LLtELNyBTq6ulHxpBoXrl5Dbv4V+Ht7wM/Lc26Oo6KgKAq3Skpx+fpNbFq7Bm7O8l255OnqjMI7xSi+V4blAX50hyP33J0dkZWbh7VRkTJ3Q6O3rw/VdQLU8utRW18PVRVV2HNYCPDxBI+zQSaqdjh2trhxp5juMOSSo6MDbt++rVxNm0jZsFjIVfLa1taGVtKsaVH4DY2ws7aWidWFF2bLjo+DX9+IGr4AeVcK0NvXDzsbq7lk1srCnPY31crqWjjxuLTHoQgeVlZhcGgYy3x96A5lydTU1BC/dg2u3SrCoWMnsHXDWjjxuHSHtWRj4+Mof1SBotIy9A8MwMfTHd97a5dcNPZZCAaDAXNTE5ibmiAsKBA1fAGKSstw/fYhOPG4CPTxBodlK/fP96mpKeTmX8HjqmrsTtwKGytLukNastnmaZln8+Dr6b6gsSbEy3HsbDE2PoGWtvZFN3MUl/HxcdTNXAvU8AXPXAuELQ+UiWuB53HsbJF+5hxGRkblZv+4rPDz8catW7foDoOQQ3KVvJaUlMDGhjRrWozXzXelk6aGBpwdpvehAU/NluULcON2MVRVp++2TiezLKnfbaUoClU1tVgbtVKq51VEQqEQl6/dRGTocoXZb8hgMLAieBlMjAxxMucsolaEijSOSpYMDQ/j+u1i3C17ABMjQywP8IWHi5NC7+lVUVGBoz0XjvZc9PT2oeR+OU7knIGutjbCggLh6eYid/vzAWB0bAwns89gYHAY+3YlzTS8UgwOXA5MTYxRWHQXK8MUq1OutKmqqsKRy0Zlda3Uk9fZmavVdXzU8utR39QMQ3198LhsrIkMB4dlJ3NVWM9jMnVhMrPv1cWRlA6LQjmbNpGyYXGQq6vHkpIS0qxpEWb3uwbLSYnVi7Nl26b3yt4rQ/a5C9P7XLjTiSzb1kbi+546OrswNDwMLovM9lyq0vKHYKgwFLLZiruLEwz09ZCakYOu7h7EroqQm6RnbHwct4rvorDoLti2NngjYTNsrCyV6IJimpGhAaIjwhAZuhwPKipxpfAWCotKELUiFI728lN50dvXh5RTWTDQ18fe5ASFW51kMBiIXhGKb05kINDXC0xdxd5vLmlODjzcLCqRyo2AgcEh1M7cnK4R1EM4Od3/wt3FCXGxq2W+/8V8OCw78BsaSPIqIqVs2kTKhsVCrpLXoqIieLiSZk2i6ujswuTkJO0lQYsxPVvWGixba6wMC8bIyEyHQb4A2ecuYHhkZK7DoAOHDVMJdBisrKkFj81WmJVCuoyPT+Bq4S2sjVopN0mdqGytrbBvVyJS0rNxLD0b2zaulenEQSgUovh+OQpu3oaJoSGSt8aDbWtDd1i0U1NTg4+HOzxcnFFyvxxZ5y7A1MgIUSvCwLKV7X3vjc0tSM3IgZuzo1zdQBGVnY017Nl2KLh5B+uiSVXMUjhyOcjKzUNf/wAM9PXEeuzJyUnUNzajmi9A7czM1dnJA4k+XrAR08xVOnHsbHHt1h26w5A7Stm0iSSvYiFXV+PFxcVITthCdxhyp6m1DdYWFnL/BgEA2tpacHdxgruL07ez3er4qOHX49K1Quhoa8F+przYns0SS1OZyupa+Ht7iiF65Xb7bin09fTg6uRAdygSZWhggL3J23Ey+wwOppxA8tY4GOjLVskmRVEof1yJy9cLoa6ujriY1WRP9zzU1NQQ5O8LH0933Cy6i6MnM8Bh2SEqPATmMrh95UFFJbLPXZTr0nVRrAoPxZffpCA4wE8uV+xkhba2Flg21qiqqUWgr/eSjjU783126w+/oWnufTl8+TJw2XZy1+ztdWytLdHe2YWJiUlyk1tEyte0iZQNi4PcPMu6urrQ0tKClSvC6A5F7jS3tsHKwpzuMMSOwWDAzMQYZibGWD4zW7a+sRk1fAGu3ypC+ulzsLIwn1uVXcwd3sHBITS3tmHH5jgJ/RTKYWxsDDfuFCMxfqNSJEhamppI3roJuflX8OU3052IZaVZTndPL7LPX0BPbz9WhgXDS073dEqTpoYGIkOXI9DHC9du38GXR1IRHOCHFcHLZGJcC0VRuHbrDm7cKUFC3Do42st/07CFMDc1gYeLM64W3sKmdTF0hyPXnHj2qKxeXPI6WxE1u7o6PDIKjp0NeBw21kSukEhFlCzR19ODtpYW2jo6ZH7kkKzx8fJCSXER3WFIDYPBkOpzQVGfd/S/6y5QVVUVTExMYGGmWKMopKGlrQ3L/KQz35VOampqsOewYM9hYTXCn9lbk5Z1enpvDcsO9hwWHLicBd2pr6qtg42VJXR1daTwEyiuskcVMDEyApetPPuGVVRUsC56JUyMDHE47RTtY0ooisKd0vvIL7gBHw83JG+Jh4aMN0ORNbq6OohdFQlfD3dk5uahsroG8WvX0LolY3JyEqfz8lFX34i9OxJgoWDjml4nZFkA/nn4KNZEroCOjmKt6EmTkwMX+dduYGxs7LVbHaZ7UbTOzG7no7m1HeamJrDnsBEfuwYsW2uZuKkjLQwGA1YW5mhubSPJq4i8PNyQduIk3WFIDykbFgu5eXWprKyELZmxKTKhUIjW9k5YWyreyuvr6DF14e3hBu+Z2bKt7R2o4QvwqPIJzl26CgN9PfA4bDhw2S/talhVUzvXBZlYHIqiUHSvTG4ahokTg8HA8gA/GBkaIv3MOXT39iJ0WYDU74bOrrb29Q9gx5Y40nxsiSzMzbBvVxKu3y7GoWMnaFuFHR4ZQVrmaUxOTmLfriToMZWvcZGZiTHsbKxQWv4QoUEBdIcjt0yMjGBkaIAafv28N9nmpgDUCVBX3wBVVVXwOCwE+njDnsNWyt+9p1lZmqOlrZ3uMOSOn7c3mpqbMT4+Tm6mEgsmN8lrVVUVbG1kc9SLLOvo6oaqqqrCzGdcrNk7o1YW5ggLCsT4+Dj4DY2orhPgwpXr6Onrg5211UwX4+nZspOTk6jh1yMqPJTu8OVafWMTBgYH4eHiRHcotHF2sMdbSduQkp6Nru4ebFgTJZU96GS1VXJUVVURERIEFwd7WlZhO7u7cexUNizMTLF5fYxCjzN6nUAfb1y4eg3BgX6kBH4JnGdKh92cHZ+Zv15TJ0Bvfz9YNtaw57CwIiQIluZmCluSuBjWFha4Uk1mlorKxckBampqqKmpgatSNGQle17FQa6SV3sum+4w5E5LWzusyJvMCzQ0NODEs4cTb3pVtbevb7oEqk6AG3eKoaKiAjMTY2ioq0NTk1zsL0XRvTL4eLgr9cU1AFhamOOdN5JwLD0bR05kYHv8BokOtR8ZHcWpnFx09fSQ1VYJen4VdrZZkiRfc/n1DUjLOg1/L09ErQhV+td3Zwd75OZfQQ1foDT7fcWNoigYGxni9t176O3vQ2NzKwwN9Kf3ra5cAQ7LVuZnrtLJ2tIcHV2kaZOoVFVVYWFhgaqqKuVJXqX6eq2Y7w1y8wyrqKhAFGnWJDJFbdYkboYGBvD39oS/tyempqbQ1NKK85cLwGAAn/3zIMxMjMHjTK/KsmxtyJvTAg0ODqHiSQ2+99YuukORCXpMJvYkJSDjzDkcOJqGHVvjJFIV0dnVjWMZ2TA1Nsa7u3fK9LgeRTC7CsvjsJCWeRpt7R1Yv3qVRMqIS8sfIjf/MtZGrYSvp7vYjy+PVFVV4e/tgaLSMpK8imBgcHBm36oAtfx6TAonMTUlBMvGBpvWxpAOziIgTZsWz9baGpWVlXSHIR1kz6tYyMUV+NTUFKqrq+FLxpWIrKWtDUFK0KxJnFRUVGBnYw2hUIjYqEjw2GzU1tejhl+P7PMXMTwyDLatDXgcDnhcNswUvJPiUtwtfwCOnY3Sl60/TUNDHds3bcDFq9dx4EgaEjdtANtOfFsintTW4dTpXAT6emNVWAj53ZQiW2srvPPGDqRl5uBw2ikkxm8AU0x7ASmKQv61Gyi5X44dW+LJSvpz/Lw8cf32IfT09pGk6yUmJychaGxCTZ0ANfx6dHR1wdrSAjwOG4GbvGFrbYnUjGzoaGuTv0MRkaZNi2fP5eDhwwd0hyElpGxYHOQieW1oaMDk5CS8PchdZlHMNmuyUsJmTUs1MjKKto5OcOxsp2fLOjvB3Xl6tmxXd8/cSIDLNwqhpakFHocFHocNe454ZssqgqmpKZTcL8faqJV0hyJzGAwGVkeGw9jIEEdPZWJ99Cp4e7gt6ZgURaGwqARXC29jY0wUPF1dxBQtIQp9venV9ZzzF/HlkWNI3LRxyftgJyYmkHH2PFrbO/D2zkSYGhuLKVrFoa/HhBOPi5L75YiOIFVawPRrQsfszNU6AQSNjdDR1gGPy8aKkGWwZ7Fe2LrAsbMDv6ERwYHK12BvqUjTpsVxcXZC9tlcusOQDrLyKhZykbxWVVXBytIS2iQpEAlp1rR4gsZGmBgbgan77KoJg8GAqYkxTE2Msdzfd3q2bNPMbNnbRUg/MzNblsMGj8uG7SJmyyqKqppaAAw48UgZ38v4e3vCyMAAJ7LPoKunFyvDghe1Ujo5OYmc8xdRV9+IPUnbaB3dQgDq6mrYvD4GhXdK8FXqScTFRMPD1XlRxxocHMKxjGyoqapi384kMg7mFQJ9vHEy5ywiQ5cr1aiWpw2PjKBWUD+3ujoyOgqOnS0c7DmIWRUBU2OjV77GcFi2KLh1G1NTU6T5lYhI06bF8XJ3w5/+8je6w5AOsvAqFnLx6l5ZWQlbWxu6w5A7pFnT4vEbGsFZQCmnmpoa7Nks2LNZWB0RjsHBIdQI6lHLF+BE1hlMTE6Cy7Kd2y9rbGQo+eBlRFFpGfy9PckF0GvYc1jYuzMRKacy0d3bi/jYNSLtqR4fH8ex9GxMTE7iO2/sEFuZKrE0DAYDoUEBMDM1QfrpXAwOD2O5v2hbONo6OnEsPQtsWxtsjIlW2oRsoTis6UqZR5VP4OWuDM1fpiusGlta51ZXW9qmZ67yOGxsWrcGLBvRZq5ampsBFNDa3kFugomING1aHH9fH3R3d6Ovrw8GBqRcnXg9uXh2VVVVwc6W7O8RVXNrG6zIm8+i8OsbER68TOTvYzJ14e3uCm9312dny1Y9O1uWx2GDy7JV2EY6Xd09EDQ2YfO6GLpDkQtmJsbYtysJaRk5+DrtJBI3b3xh1X8+o2NjSDmZCTU1Nby5fSs0NJS7o7MscuJx8cb2LThyIgOTk5MICwpc0Pc9qa3DqZxcBAf6Y0XwMnITcgEYDAYCfbxQdK9MoZPXnt4+VNfxUcuvn565qqYKHpuNZX4+4LFZS7qBpaKiAradDfgNjSR5FRFp2rQ4NtZW0NPTw5MnTxAQoOizmsnSqzjIRfJaWVkJfx8vusOQO6RZ0+IMj4xM73e1XVoTnflnyzahhi/AxYLr6Ontg6211dx+WSsLc4VZpSy+VwZXRx5ZBRSBro4O3kzciuxzF7D/SCqSt26CuanJSx8/MjqKIycyoKujjYS4DeROvwyzsbLEm4lb8c2JdAiFQkSELH/l4+/cvYeLBTeWVG6srLzdXZF/7cZ05ZGCdNofGx9HnaBhenWVL0Bf/wBYttbgcdgSmbnKsbNDXX0DQgL9xXZMZUCaNi2e5cy4HIVPXuVkz+vo6Ch++9vf4tixY6ivr4exsTFiY2Px8ccfw1bEa+Pe3l589NFHyMjIQGtrKywtLbFp0yb87//+LwwNDRcVn1xc7VRWVmJ3ciLdYcgV0qxp8QQNTTAzMYauro5Yjzs9W5Y7twe0t69/7mKksKgEKioqsGez5lZm9fWYYj2/tExMTODeg0dI2hJHdyhyR01NDZvXx+Jq4W0cTEnDto3r4MDlvPC4sbExHD2ZAaauLhLi1pFyUjlgZWGOPUkJOJx2EioqKghf/mJlx9TUFM5fLsCDikq8kbAZdjbWNEQq37S0tODp6oLie2XYGBNNdziLQlEUWtraUV033RiwobkFRgYG4HHZiF0VCY6dDTQkOHOVw7LF1cJbZN/rIpCmTYtjZ2eLR48e0R2G5MlB8jo6OoqoqCgUFhbCysoK8fHx4PP5OHToEE6fPo2bN2+Cx+Mt6FhdXV0IDg7GkydPYG9vj02bNuHhw4f4/PPPcfbsWdy6dQsmJi+/Sf8yMn/FMzo6ivr6evh5k5VXUXR290BVRYU0a1oEfkMjOFIYQ2FooP/CbNkavgB3yx4g5/xFmM7NlmWBbWsrNytrDyqqoK/HBItceC8Kg8FAZOhyGBsZ4njWaayOCEegr/fc18fHJ5ByKgvaWlokcZUz5qYmeCNhC75OOwU1NTUEB3zb0XVsfByncs6it68f+3YmkVElSxDo44WDx45jdUQYtLS0Xv8NMqB/YHBm3qoANYJ6TE1NwZ7NgqebCzatWwNDKe4FtDAzBYPBIPteF8HawgJXa0jTJlE52HPx6OFDusOQAtkvG/7Nb36DwsJCBAcHIy8vD0zm9ELKp59+ip/85CfYu3cvrl69uqBj/fjHP8aTJ0+wZcsWpKWlzV2v/OAHP8Bf/vIXfPDBBzh8+LDIMcr8VU9NTQ20tLTg5LCwLJ+Y1tXdA1Myf3RR+PWNiAgJkuo5Z2fL2tlYIzI0GCOjo3NlYqfz8jE4NDNblju9KmtuaiKz/7Z375cjwMdLZuOTF15uLjDU10daZg66enqxJjIcFEUhLTMHKqoq2B6/kSSucsjS3Ay7Ejbj6+OnoKmhAT8vD/T19yPlVDaYujrYuzMRWgq6F15aLC3MYWFqivLHlc/c+JElExOTqG9smhu71tHVDRtLC/C403tXbawsaVv1nN33WlffQJJXEZmaGKOrpxcURZH3QBG4u7rinwe/ojsMyWNAyiuvoj18YmICf/nLXwAAf/vb3+YSVwBziWZBQQFKSkrg7//qbQWtra04evQo1NXV8cUXXzxzvfL73/8eqampOHr0KH73u9/BwkK01xmZv/KpqqqCrY0NKV0RUWd3D0yUqLOtuAyPjKC9sxNsmrtba2tpwc3ZEW7OjtOzZXt65kYfXLlxE1qamnNzZXlstsyMzxgYHEJTaxsSN2+kOxSFwLK1xts7E3EsPQtpvX1g6upgaHgYe5O3y81KPPEia0sLJG2OQ8qpTExNTeFq4S04O/CwNipSaUdriZubixMqq2tkJnmlKAodnV2o4dejhs+HoLEJujo64HHYiAhZDi7bDtoytErMtrNFnaABocsUfA+imBkZ6EMoFKJ/YAAG+vp0hyM3vD09UFdXp/hJv4yXDV+/fh29vb3g8Xjw9X2xZ862bdtQVlaGnJyc1yavubm5mJqawsqVK19ITjU1NbFx40YcPHgQubm52LNnj0hxivXqp6ysDP/6179QXFyM+vp6dHV1QUtLC25ubti5cyfeffddkVcKqqqqyJicReju6YExKRkWWXNrG4wMDMS+33UpGAwGTI2NYWpsjKCZ2bINzS2oqROg8E4JMs6ch6W5GXhcNhw4bNhaW9F2Afyktg42VpYL6pRLLIyxkSH27kzEgaNpeFJbh73JCRLd70ZIB8fOFp6urjhz4RLCly9b9IxfYn7OPHvkF9zA2NgYbV3dh4dnZq7O9DYYHRsDx84WjvZcxK6KhMlrZq7SydbKEjduFyt+MiFmampqMNTXR1d3L0leReDr5YnR0VG0tLTA2nrxW44+/fRTXL9+HeXl5Whvb8fo6CgsLS0RGRmJn/70p3B3dxdj1Irn/v37AAA/P795vz77+dnHLfVYBw8eXNCxnifW5LWgoAB/+9vfwGaz4ebmBjMzM3R0dODGjRu4desWMjIycO7cOairL3ycQ2VlJdh2ZEyOqLq6e8DjsukOQ+60tLXLfJMrNTU1cFl24LLsEB0RhsGhIdTypy+QTmSfxcTEBLhsO9iz2XDgSne2bGV1LZwd7KV2PmXR3tGJ/v4BOHA5OJ51Bkmb40g5nxyjKAo37hTjweMKOHDZqKqpRVhQIBl1JEbGRoYwNjRADb8ebs6OUjmnUChEY3PLzOrq9MxVCzNT2HNY2LwuFnY2VnJT6m9pbobhkRH0DwzCQF+P7nDkiomxEbp6emDPYdEditzQ19eDibExqqqqlpS8/uY3v8HQ0BC8vLzg6ekJAHj48CG+/vprpKamIjMzE2vXrhVX2Isg23te6+vrAeClHYVnPz/7OGkd63lifRVdt24d1q1bB3v7Zy9e29raEB0djUuXLuHAgQN49913F3zMyspKrI9ZLc4wlUJXTy9MjY3pDkPutLS2w8bKku4wRMLU1YWXuyu8ZmbLtrV3oIZfj4on1ci7UgB9JhP2HBYcuGxwWHYS2083MTGBWoEA0StCJXJ8ZdXb14/jWWcQsyoCfl4euFl0F4dTT2Lz+hi4ODrQHR4hIqFQiNMXLqGmjo89OxJgbmqCIycykJl7Hglx68kqlxg5OdijsrpWoslrd0/v3MpqXX0j1NXUwOOwEOTnA/slzlylk7q6OsxMjNHS1kaSVxGZGBuiq6eH7jDkjpW1FSoqKhAZGbnoY2RlZcHf3/+FRm1///vf8d5772Hfvn2or6+nrTqtf3BQqmXD/YOD0//t73/m85qamvNWpAzOPF5HZ/7qQ92ZqrrZx72KOI/1PLEmr88nrbMsLCzws5/9DLt27cKlS5dESl75fD6cHaVz11RRDI+MYGR0VKorboqiua0NAb7y29mawWDA0sIclhbmCA0KwPj4BASNjaiuEyC/4Aa6e/tga2UJe870qqw4Z8vWCuqhx2TC1ITcNBGX8fEJpGZkw83ZEf7e03eRQ5b5w8jQABlnziMitA/BAX4k4ZETI6OjOJ51GqOjY9i3a8fcOKyEuPX48sgxFNy8/doZsMTCOfPscSw9W6wjX8bGxlBX3zC9ulonQP/gIFg21rDnsBAZshwWYp65SicrC3M0t7WTm2QiMjEyQlVNHd1hyB1rSyvU1dYu6RihofPfPP/e976HTz/9FNXV1aisrISbm9uSziMqDQ0NWFpaws5J+mXLTCYTds9VsH744Yf46KOPXngsRVEA8NLXsNmvL4Q4j/U8qdWvzN7lEGWv1tTUFNrb20n5q4i6unvA1NWFJtkXJ5Lh4RH09Q8ozGB7ANDQUIejPReO9t/Olq0VTF903Sq+CwaDAXu2HXhcDngcFvT1Fn+HvbK6Fs48e4W5cJMFp/Pyoa2lhdhVEc983tXJAQb6ejiWno2u7h6si15JGv3IuO6eXqScyoKpiRF2bI575r1QR0cbSZs24mDKcVhbWsw9X4mlsbGyBEOFgYamZrDt5i9de52pqSm0tLXPrK7Wo7G5BUaGBuBx2FgbHQm2ra3ClntbWVqgupZPdxhyx8TYCF1Fd+kOQ+5YWVqgoaFBYsdfTB4iLlpaWqirq8P4+LjUzz3fvvWX9QHQm7kGHBoamvfrw8PDAPBMF+KXEeexnieV5LWnpwd//OMfAUCkWvPOzk5MTk7CgbyRi6SrpwcmxoZ0hyF3mtummzXJUsdHcTM00Ieflwf8vDwwNTWF5tY2VNcJUDo7W9bYaG5Vlm1rs+D96RRFoaqmDts20rmXRLE8rqpGdR0f7731xryJqbWlBd55Iwkpp7Jw9GQmtsevl5uZlspG0NiEtMwc+Li7IToibN5VQAtzM8SsikDO+Yt47603yL+lGKioqMDJnovKmjqRktf+gYG5fau1/HpQFAV7Ngtebi7YvC4GhgbK0YjH2sIc127eIU2bRGRiZITe/n5MTk7KzR5nWWBtZYUbt25L5Nhff/01Kisr4eTk9NIqUUnT0tKS+dd1Fmt6n3ZjY+O8X5/9/OzjpHWs50nkWfXkyRN88sknmJqaQltbGwoLCzE4OIjvfve7SE5OXvBxmpuboa+nt6isXJl1dffChHQaFpk8NGsSJxUVFdhaW8HW2gqRocsxOjqKuvpGVNfxn50ty2GDx2HBfGZw/XyaWlohFAphZ7P4RgvEt4aHR3DmwiWsjYp85Z45fT097E3ejlOnc3HgaBqSt26CkaGBFCMlXqfs4WOcvpCPNZErEODz6i0Jvp7ueFT5BOcvFyB+7RopRajYnB3scfHqDayJDH/pYyYmJiFobJweRyaoR2dXN2ysLMHjsBFE88xVOs02bRoYHFxSVY6y0ddjQlVVFT19/TAj22gWjGVngxMZLWI51u9//3s8fPgQQ0NDePz4MR4+fAhra2ukpKQo5XN5oby9p0eL3b07f+XA7Oe9vF6/vU6cx3qeRJLXtrY2HD58+JnPvf/++/jkk09EunvX0tICY/LEF1lXTw9sra3oDkPuyGOzJnHS0tKCq5MDXJ0cQFEUunt6Uc0XoJYvwJXCW9DUUJ9JZKfny+o+tQm/sqYWjvYcUroqJrn5l2FrbQkPV+fXPlZDQwOJmzYi78o17D+SiqTNG8lNBBlAURSu3LiF23dLkbhpI3ic129/YTAY2BgTjb8f+gauTo5w4pGqo6WyZ7PR25+Lzu7uuSaGFEWhvbNrZna2AILGJjB1p2euRoYshz3bTuZXSKRhtmlTc2s7SV5FwGAwYGJkiK7uHpK8ioBtZ4f29naxHOv8+fPIz8+f+387Ozt88803r51NquxCQ0NhYGCAmpoalJaWvjDr9eTJkwCADRs2vPZYsbGxUFFRwbVr19De3g5z828Xh8bGxpCTkwMVFZVFdX+WyO2HsLAwUBSFyclJ1NbW4o9//CO+/vprBAQEgM/nL/g4zc3NMCEdc0XW1d1DVl4XobmtTalWXl+FwWDAxNgIQX4+2LElHj99/7vYsmEtmExdFBaV4I9ffIl/fZ2C/IIb4Nc3oPJJLZzIiByxeFxVjRp+PTasjlrwzT4VFRXEropAZOhyfHMiA+WPKyQcJfEqk5OTSD+di7JHj/F2cuKCEtdZBvp6WLNyBU7nXcTo6KgEo1QOGhrqsGezUP6oEuWPK5B59jw+/ft+HDiaCn5DI5wc7PHunp344Xf2YmNMNNycHUni+pTppk1tdIchd0yMjdDVTToOi4Jnz0VfX59Y9oVevHgRFEWhp6cHBQUFcHZ2RmRkJD755BMxRKq4NDQ08P777wOYXnR8er/qp59+irKyMoSFhSEwMHDu83/961/h4uKCn//8588cy8rKCjt27MD4+Djee+89TE5Ozn3tpz/9KTo6OpCcnAxLS9EXjURaed2zZ88Ln9u0aRM2bdo07+NVVVXB5XLxwQcfgMvlYsuWLfj+97+PnJycBZ2vpaUFJiYmooSo9CiKQldPL9nzKiJFbNYkTs/Mll0RhqGhYdQI6lHLF+BE9hkMj4ziXvljDA+PgMdlw9jQkOyRWoSFlgu/TKCvN4wMDXAy+yy6unsRERJE/h2kbGhoGKmZ0+9x+3YmQVd3/jEBr+Lr6Y7HVaR8eCmEQiEamltQwxegraMTT2rrYGluBh6HjS0bYmFnLT8zV+lEmjYtjomRERmXIyIOyw4MBgOtra2L2gc5H0NDQ4SHh+Ps2bMIDg7Gf//3f2PNmjXPJF/Es375y1/i4sWLKCwshKOjI8LDwyEQCHD79m2YmJjg0KFDzzy+s7MTlZWVaGl5seT7s88+w61bt3Dq1Cm4uLggICAADx8+xIMHD8Dj8fCnP/1pUTGK9Mr9fCkwAHA4nJcmr0/btGkTmEwmcnNzMT4+vqBuX83NzTAlyatI+voHMDU1BSMDsu9NFC1t7QrfrEmcdHV14OXmAi83F9wqKcWDx5Xgsm1R8aQGeVeuQY+pO1dizGVLbrasojl36QrsrK0WVC78Mg5cDvYmb0dKeha6e3oRFxtNLtKlpL2zC8fSs2BrZYn4tWsW/ffOYDCwYc10+bCbsyPpPrwAFEWhu7cXNXXTjZb49Q1QV5/e6hCyzB/nL13FGwlboKOjTXeocmW2aRMhGhMjQwgam+gOQ66oq6vDwEAfzc3NYktenz52YmIiSkpKkJOTQ5LXV9DS0sLly5fx29/+FikpKcjMzISRkRF2796NX/3qVy+M3XkVU1NTFBUV4cMPP0RmZiYyMjJgYWGB999/H//7v/8L40VW14r0zrqUmTwMBgPGxsaor69HT08PLCwsXvs9LS0tsDQ3RW9fH5i6uuQCbAG6enpgZGhA9h6KqKO7G+Zm5EbJYlRV18LTzQVBfj4IXRaAiYkJ8BsaUcMX4NL1QnRlT+/B5nFY4HHYsLa0IA0T5tHY3IKK6hp8f9+eJa+WmpuZYt+uJKRm5ODr4+lI3LThmT3KhPjVzFQhBPn5IjJ0+ZL/DQ309bAqPAQXrlwDj8Mmz5l5jI6NoU7QMDPGRoCBwSGwbKzB47CxMiwYFk81mSt7+BhPauvg7SHd+Y7yzszUBEPDwxgZGYW2Nrm5u1CkbHjhKIrC2Pg4BgaHoK+vP+8KnjiYmpoCADo6OiRyfEWira2Njz/+GB9//PFrH/vRRx/NOzN2lpGRET7//HN8/vnnYotPatlgbW0tGhoaoK+vP/cL9DpNTU3Q0dbG519+BYqioK2tBT1dXegxdcHU1YUekwkmU3fuc7OfV+Ykt7unF8aGhnSHIXe6untgTPYJi2x0bAyCxibExUbPfU5d/dnZsn39/XNjJ26VlAIA7NmsuZVZA33SCISiKOQX3ECQvy/0xNRdnamri92J25CZex4HjqQheWs8TEnzEIkovleGvCsF2LA6Cl7urmI7rr+3J24Vl+L+w8fw9ZT+cHtZMzvea/b1pLG5BSbGRuBxWFgXvfKVM1edePaorKklyauItDQ1oaujM90IUps0glwoEyMjDA0PY2x8HJo0zBWVBRRFYWxsDANDwxgYHMTg4BAGYBib3AAASDVJREFUBocwMPT0n6f/OztWSFtbB81Nklmxvnr1KgCAx+NJ5PiE9Ig1y/vd736Hbdu2vTBDqbKyErt37wZFUXjzzTcXvCrY3NyM//jR97E1bgOGh0fmfskHBgcxOPPn9s6umT8PYnBoeDrJ1dJ6KsHVnU5wmUylSHIHBoegr0dGC4mqq7sH7i5OdIchd5qaW2GgpwfDV5SpG+i/OFu2hi/AvQePcDovf+7ik8dhg2Nnu+DZsopkdl9e4uaNYj2uuroatm1ch8vXb+LA0TQkxK+HPVu85VjKbGpqCheuXsf9h4+wc9tmsG1txHp8VVVVrAwLxsWCG/B0dVbI96zX6R8YQHXddNfzWkEDKEzPXPXxcMPWDbEw0F/YzFUuyw5FpffJzNJFmF1FJFMMFk5LSxNqaqoYGByEpoI1Hp1LSp9KPgdnktK5P898bXJyEurqatDTnVlsmrn+trK0gNPMItTsdbqmhgYKrl5BQ0PDouK6du0ampubsXXr1mdeKycmJvCPf/wD33zzDbS1tZGYmCiuvwqCJmJ9J/ziiy/w85//HN7e3nBwmB63IRAIUFJSgqmpKaxYsQK//e1vF3SsqakptLe3w549XS7FnPnltnpFtfHU1NQzSe5sUjswOITOru6ZxHf687NJ7tMrt9/+mTmX+Oox5SvJHRgcJCtZi9DV0wtTY7LyKipROzQ/PVs2IuTb2bI1fAHOXrz8bdkfd3pV1uIVs2UVxeyqa1hQoET2BjMYDKwKD4GxkSFSM7IRuyoSfl4eYj+PshkfH0f6mXPo7OrBvp1JMDYylMh5PFydceNOMYpKyxAc6CeRc8iSiYkJCBqb5hLWzu4e2FpZgsdlY3mA36K3HZCZpYtnYmSIrp5eusOQKwwGA3q6TAwMDs2NaJJ1FEVhdGzsuVXRbxeLnk5SJyeFc0np09fP1pYWLywWaWhoLPh93NLcHE2LXHmtqanBW2+9BVNTU/j7+8PExASdnZ0oLy9HS0sLtLS08NVXX4m0Z5OQTWLNyj755BOcPXsWxcXFOH/+PEZGRmBsbIzVq1djx44deOONNxb8ptPV1YWJiQk42HMWfH6RktyRkacS3FcnuVpams88Gb9NbGUvyR0cGlLqWaWLMTExgf6BATJeaBFa2tphs4g257NemC3b2zsze7EeVwtvz82WteewwWOzFtW5VdY9rKjC8MgIAn29JXoeHw83GBro43jmaXR19yA6IkzhbwxISv/AAI6lZ0NLSxNv70qUaKM3BoOBqBWhyDhzHr5e7grX/IyiKLR3dM7MlK6HoLFpruHbyrAQcFm2Yhldo6GhDlMys3RRTIyN0NxKxuWIisnUxeDg0OsfKGGzSem3q6KDzy3yfJukziWlz13z2lhazq2czn5elKR0oWysrXDzTvGivjciIgL/9V//hatXr6KsrAydnZ3Q0NAAh8PBtm3b8IMf/AAODg5ijZegh1izrZ07d2Lnzp1iOVZLSwuYTCYMJNA1V0VFBUzd6Sfkq8wmuYNPlUbMPsk7u7ufeeLPJbnPrdx++2Rnzr0IqKtLLskdGBwS2545ZdHd0wsNDQ2FTIwkraWtHQE+XmI51vRgdyOYGBlhmZ/Pt6Mu6gS4VXwXmWfPw8LMdG5VlmVjLfeNyYRCIS5dL0REyHKJvi7M4tjZ4u1diUg5lYXu3l5sXhf70j2CxPxa2tpxLD0LDlwO1q9eJZXfQQcuB+ZmJigsKsGqsBCJn0/ShoaGUSuon2u0NDY+AS7LFs4O9lgXvRLGRpIZtWVtYY6Wtna4OJI9b6IwMTJC+SMyO1pUerq6GJBg8kpRFEZHx75dIX2hjPf5pFR9brFFT1cXTCYTNpaWz12rSiYpXSg7WxukZ59e1PdyuVwyx1VJ0L9U+BLNzc0wobnU4ukk91VrSxRFTZcrP3U3azax7azvnktwB4eGMTU1BS1NzeeaTunM1f0/nfwu5mJ2YGgIeouYD6nMOnt6YGpsRFahRDQ8MoLevn6JzcZVVVUFx84WHDtbRK0IxdDwMGpnGrWkn86du+C157DhwGFL7IJXksoeVUBFRQU+UmwiY2JkhH07k5CWlYOvUk9gx5Y4csNrgSqe1CDjzDmsCA5CyDJ/qf2+MRgMRK8Iw9fH0xHs7yd3XV+FQiEamprnGi21tnfMzVzdumEt7KR0I8rKwhw1fIHEz6NoTIyN0NXTS/YLi4jJ1MXAkOjJ61xSOs8K6fMrp0LhdFKq/9S1JFNXFzbWls9uiWMy5aJxFIfFQlsbWeUnXk1mk9eWlhYYy0lnTAaDAV1dHejq6oic5M6+IAnqG2c2uw9jcGhoLsl9YU/uPOXLsw1uhEIhhodHSPIqoq7uXphIaL+aImtple5sXF0dHXi6ucDTzWWu1LCGX4+q6lpcuHINTF0d8DhsOHA5Yis1lCSKonDn7j0EB/hJfQyKtrYW3kjYgtN5+dh/JBU7tsTD0txMqjHIE4qicKu4FFdu3MSmdTFwdZJ+6ZmttRWszM1w7+EjBAfI9t7XZ7cACFBX3zi3BSA4wA/2NG0BsLKwwLVbRSQJE5GRgT6EQiH6B0hPDVHoMXXR1v7tWJZnktJnVkaHX1g5FQqF0FBXf3aBYzYpfXqhY6bRkaLgctjo7e3FxMSEUjZvJBZGppNXUxPFmrspUpI7syf36Re2b5PcbxPfqakpaGpqQI/JhPbMXqibxXehz2S+MEqIvBDMr7uHjMlZDFGbNYkTg8GAhbkZLMzNELLMf67JS02dAJevF+LETJMXew4bDlzZnC3b1NKKnt4+eLo603J+VVVVxMWuxvXbRTh07AS2blgLJx6XllhkmVAoRG7+FVRW1+DNxK209hQI8PXClRu3sNzfV+aSr/lmrrJtbWDPYWFVWAjMZaD5GmnatDhqamowNNBHV08PSV7nQVEURkZHX+i6WydoQFtHBw4cTZtbqBAKhdDQ0HihUaidtfUzSaqiJaULZc9hg8FgoK2tDba2tnSHQ8gomU1em5ubFS55XSgGgwFdHR3o6ui8cjXk6SR3cGgI9Y3NaOvoxMTEJASNTc+s7M4luU+3Jn/Jiq6yJbld3T1w4HLoDkPuLLVZkzipq6vDgcuZ+3fs6x+Y3lNXx8edu/dAUdPjNab3y7IWPF5DkopKy+Dt4QYNGi9QGAwGwpcvg7GRIU7mnEVUeAiW+fnQnmTIitHRUZzIPovBoWHs25VE+++Nq6MDzl8qQK2gHjwOm9ZYnh57VVMnQGNLK0yNjWDPYWP96lVg29rI3HsJadq0eCZG0+NylGnU1tNJ6fxdd79dYJhLSp9aMJhursZAkJ/PC3tKiflpaGhAX08Pzc3NJHklXkpmk9eWlhbYkZlir/R0kguYYXJyEsZGhli/etUzj5tNcp9vPDU4NARBY9Mzn5+amoLm7AvwvI2nvv28ojR66erphQkZkyMycTZrEjcDfT34errD19MdU1NTaGlrR3WdAPdnZ8saGc6tyrJtbaX+uzw8PIKHlVX47m7xNLhbKndnJxjo6SE1Iwed3T1YGxUpcyvV0tbT24eU9CwYGehj787tMrEKoqamBl8vdxSXltGSvPb1D8ytrNYK6gEAPDYLPp7u2LpxnVysypGmTYtjYmyIrp4eusMQC4qiMDIyOpd8vmxP6WxSqqmh8cw1EJPJhJ2N9VzzI+ZLktL2jk4cOJoGD5qqa+SVoZEhmpub6Q6DkGEym7x2d3fDW4pNTBTByzoNP53kWuDVK7kjI6Pz7sltaGx+5vNPJ7nMmW7Kz7dRn/28LCe5Y+PjGBkdhaEMrMTJE0k3axInFRUV2FhZwsbKEhEhQRgdGwO/vgHVdc/NluVMr8pamJtJfOWxtPwh7GysYCZD+/ptra2wb1cSjqVn4Vh6FrZtXAdNBRvLslANTc1IzcyBh4szYlaukKlE3t/LE3/Z/xX6+gckniyOj09A0Ng4t7ra1dMLO2sr2HPYCAn0h5WFuUz93SwEadq0OIYGBhDUN9IdxivNdw3z7XXMt3tKn05Kn7+GsbO1FtuNej0mE+MTExgbH5eJm1/ygqnLRI+C3CghJENmk9f+/n6SUIhoYGgIzCU0a2IwGNDR0YaOjvbCktx5Blg/neS+6q6l3jwrunSU0gwODkFVVRVaWsp5kb5Y0m7WJE5amppwcXSAi+N0053unl5U1wlQKxCg4OZtqKurg8dhzcyXZb12pJaopqamUHy/DKsjwsV6XHEwNNDH3uTtOJlzFgdTjmPHlngYGijX63D54wrknL+I6BVhWObnQ3c4LzA00IejPQclZeViH5tDURTaOjrnGi3VNzXPzVxdFR4KLttO7ufMkqZNi6Onu7jOueLwsuqxp68/XrZFarZ6jGVrM1dRpjczRULSN9a1tDShqqqKwcEhaBqT5HWhdLS10d/fT3cYhAyT2eR1YGAABkp20bRUg1Ka8fpMkmtm+tLHvayJwcDgEBqaml+7X+Rlo4TEmeQODA5Cj6lLLmJERGezJnEzNjLEMiNDLPPzhlAoRGNzC6r5Aty+ew+ZuXnTs2U507Nl7WysoKa2tJdNfn0jJicn4exgL6afQLw0NTWxY0s8zl26iv1HUpG0eSNslWALB0VRKLh5GzeL7iIhbj0c7WW3eZW/tyeyz13EytDgJb92DQ0No0ZQP5ewTkxMgMOyg4ujAzasiYKRoYFCvT5+27RpCPp6ZETUQukxxT+z9Pm+Hc8kpU/PLH2uOeXT1whsWxuZ7dvBYDCm/96GhsjWJBHo6Gijv7+P7jAIGSbbyStZeRXJwOAQrC0t6A5jDoPBgI62NnS0F5bkDs6+cT21D6WhufmZN7aXdep7fk+uHnNhSe7A0BD0xLyypgxkqVmTOKmqqoJtZwu2nS2iwmdmywrqUcuvR/qZcxgbHwPHzm56ZZbLhonRwuYDT/578tyfK2LfgYujg1TmWi6WiooK1kWvhImxEb4+no742NVwd3GiOyyJmZycRM75ixA0NuGt5O2vfL2SBfZsFiYnJ9Hc2iZy92OhUIj6pua5ZLWto3N65iqXjW1x62BnbSXTv5tLNdu0qaWtjSSvImDq6mJwaGhBK9ZzYwGfGwXz7I3sV48FZNvZKMTEBKauLgYGB+kOQ67o6uqiv4+svBIvJ7PJ6+DgIIwMDekOQ64MDg2JvcRRGp5Ocs1fk+Q+P7h79o2xsbnltTPSZsuHZt8I9ZhM9PT1L6nUWlnJcrMmcdLV0YGnqws8XWdmy3Z2oYYvQFVNHS5cvT43W5bHYYPLtnttGTUFoLL4Dtb18zF5fj/U/pAinR9kkYL8fGBkYIBTp3PR3duLsKBAhVqFA6abZ6Vl5mBSKMS+nUly8XqgqqoKB3sOKqtrX5u8UhSFrp4e1PCnV1f5DY3Q1NAAj8NCyDL/6ZmrOtKfuUonawtzNLe2w9mBNG1aKD2mLqamptDZ1Q2hUPhCX4ynq6sGh4bnktLnq6jYLNuXzqpXRHq6uhgcHKY7DLnCZDLR10dWXomXk8nklaIoDA0NwcjIkO5Q5Mrg0BD05ODCa7EYDAa0tbWgra21sCR3nk6CTc2tzyS/QqEQKioq+Mv+r+bdk/v0KCHScGHayMio3DRrEicGgwELM1NYmJkiJNB/ZiRVI2r49bhSeAsnc87Cxspybr+sjZXlC81s2tW0McpQA3t8+q7y7IqsLCexTjwu3tqRgGP/v707D4+yPPT//5nMlj0hISwBSSAoKhRwAxdQRNwoFRdAUTxurf3WXselx7bnXK2n37bn10Wxtsev1J4eK1p3EVFwR4sbSqUqLlXZsgCyE0gmk8yW+/fHZCYzmZkkE0Lmgbxf15WLybPMPHMzeeb5PPe29Dnt3Vevb50/44ipmduzd58eW/qchg4apItnnndYXUSPqRqlt9//QNOnJvZ7bWlp0eaYOVc9TV5VDB+mqsoKnXPmGRo0sPSIuwmRjvCgTXWZPgzLMMaoyetNOiNB7HeoJC168K/RUBp7U7h0xICEgY6cTkteYvap/PzM9RU+XBXk59PnFZ2y5JnF6/XKGKPSAfQRSEeLz3/YD6bRG+JC7sDUcwUbY/T08y+osCBfx4waFRdqt23fETcgVTAYktPpTNonN9nAU0fyheH+hoZw+R6GgzX1JqfTETe3bENjY7h2q6ZWf/9wnYwxGllxVLhm9o77VVxUqI2r12jU6y/IIRP3XLHNiq0YZIcMKtO3F8zX40uf01+fXqp5s2cpNycn04d1UKprt+ip51bo5InjNX3q6Yfd3+zokRV69sVXVL//gIoKC7Rt+47o529b25yrVZUVmnXeOZacczWTSgYU6x+ffJbpwzjkIqE0aZ/SmN+bvG01pdnuhLngB444Kjoa77KXXtH5087UGKYZ6rZst1tNXmpe05Gfn6ftO3dl+jBgYZYMr42NjZLCXzDontbWVgWDQUtPS2M1NptNzc0tOqZqpEZVpp543RijFp+vvU9ubMjdsSOuyVQ05HbokxvtuxMTfg/XkNvQ2KjCPhgY7HBTWJA4t+ymmlp98s8v9eLKv2lAcZFaWlr0jTPOUeuUn8rlcsWF1girBtmC/Dxde8VcPfviy3rg0Sd15WWzD9sbjB9+8plefmOVLjznbJ3wjbGZPpwe8fn9Kiku0pPLVuhAQ4NsNptGVY7QiePHae5FM1VYYP05VzOlID9fDW3XGYej1tbWmD6liTWksTWnxphwKO0wyn9ZaUn8XO7dqCktLiyUt6Wlj97lkcHlcqr+QCDTh3FYKSwoVGMjNa9IzZLh1ePxyOl0Kucwv7Pfl/x+vyRlZLqZw1l4wKbOg5jNZlNOdrimsayLmlyfz9d+dzum5nbbjh0xA1JFQq4jYX7cjqMm5ufnyW2xkNvQ6GGgky7Ezi175mmT5fP59PlXG7T8lZX6Yv1G/f2jdRoxvFxVc29TVWWFhgwqU+iHVyU8j9WCrMvl1LzZs7TyrXf0wCNPat7Fs1R51PBD9nrBn94g912P9NrzGWO08q139OEnn+nKS2ercsRRvfbch1pkztWNbQMt7avfr+LCAoVCrVow95LDcs7VTCksyJfP55ff77fUd2bHUJpsKpjYUJqTnZ0w0FHZwNKEPqUHO0J6REF+XrT5MLrH5XRFr8/QPUWFBWpsZJArpGbJ8NrY2KjcfjaAxMHy+cN39lw0DUtLo+fg5saNZbPZlJ2drex0Qm6HwS6279ip9Z7N0eXBYFBOpyO+iXLcwFPt4bevQm6Dx9MnUzIdSdxtzflHDCvXdVfO0776/dH+iG+//4GcDodGTfsXVY2sUFXFCGX/3+8kPIdV+sfabDade9ZUlQ4YoMeeWaaZM87WxHE9q70M3n5lt99POtsmEwgE9OwLr2jn7j369lVXWH7qCmOMdu7arY01tdpcU6e6bV+rMD9fVSMrNOPMMzRyxFHyNrfo/z3wkAaWlhBc05CTnS273a4Gj0cDS0oO+evFh1KP4vuUttecepq80VAad67Pz48LpZF1vRVKuys8ci7hNR1ul1M+wmtaCgsLGKEZnbJseKXWNT3+QEBOp9NSNXRW5/eH77z39SBXaYfctmkGYqcS2r5jp9bHTD8QDAblcDhiJmHPjRt4Kj9mudvtPqjPSWOjRwOKi3q8f3+19evtGjF8mKRwl4iSAcU65YS2uWW379Cm6lr9/cOP9dxLr2rQuJnhIFtZofJ7/yOhj6wVnDh+nAYUFemp51Zob/1+TZ9i3X6jjZ4mPfHs83I6HLphweWW7a/raWrS5rZ+q5tq6hQIBDSy4igdd0x4ztWOXWncbrfycnO1feeuQ1oDfqSx2WwqLMhXQ+PBhdfW1lY1eZvjmu3GjoIfqTmNhtKc7IQxEwYNLI0JqZkJpd1VkJ+nuq1fZ/owDisul0t+P82G01FcXCwvNfzohCXPkOGaV2teXFiV3++Xm/6uaWnyNkebBFtRXMgtTX2BZYyRz+9vr8GN6ZO7fdcurd/clDzkxvXLTeyTmyrkNjR6VMGFctq279ylqadOSlhut9tVMXyYKoYP0/Spp8vrbdbm2nCAWfbiK2oZfpoqhg9X1cgKVT51rwZ3Y57FvjKy4ijdcNXleuyZ57Svfr8uvvB8y40wumPXbj2+9HmNHDFcs847x1LBIBgMasu27dpYU6PNNXXauXuPhg4epKrKCs29aKaGd2PO1fIhg7R9B+E1XYUF+SmbJkZCafzARol9Spu8saE0XwUx07INLhvY9jg3+q+VPns9kZeXKw+DD6XF5XISXtM0oKhQTYRXdMKSZ1KPx6PcHJoNp8Nnsb47hwOf32+5/qQ9YbPZlO12K9vt7lbI9XTsk9sWchs3tzdfDgTaQm5czW24VmD33n1qavJq9569nYZctAsGg9q1Z6/Kh3Q9vVBubo7GHTdG444bI2OMdu/dp03Vtdq4uVqvDzlBuX/6S1ut7AiNqhiR8ZsvA0tL9O0FV+iJZcv10JNLdMUl3+r2fNOOhY+l3Rw4ne3Xb6rWMyte0hmTTtbUUzM/R60xRnv31UebjNds2apst1tVlRU6Y9LJGlUxIu0bt0MHD9bXO3ceoiM+soRDaXj0XRnpiw0bVX/gQMpQmpuTE18rmt8eSiPnwyMhlHaX20X/zXS5XS6aDaepuKhY3ubmTB8GLMySZ9zGxkZlZ7vV0OiR0+GQw+GQw2HP+IWHlfnbghi6z2qDdRxqsSF3YBch199WkxvXJ9fj0c5du9Xk9eqDjz/RW++vaQu59ria21R9crP7ccjduXuP3C6XigoL09rPZrNp0MBSDRpYqtNOOVGBQFB1W7dpU02t3lq9Rs8sf0nDhgzWqMoKjR6ZfG7ZvpCbm6N/mXepnn95pf73kSd05aWzO52LuScigbW7wXXNhx/r9bfe1ewLztXYY4/p1WNJR3NLi6prt7T1Xa1Vkzcy52qlZpw5RWUHOedq+ZBB+vSfX/biER9+YkNpslrSSLPeJm9zNJRKksNhjw56NLisLBpSI+exI2U+497iIoilzUXg75bIjBmBYFAOp1PBYFA+ny86XgQQy7LhNRgM6Z77/zduucPhkNPhkNPpaH/scMjhdMjpcMatc7Q9joRfZ/R3Z/LniT52yul0HHYX2X5/gMGa0uQPBGhqnYTNZpPb7ZY7Scj1+Xz67Mv1+t61V8ntdodDblzADQfenbt2a6OnJrouEAjI4bC3DzyVl5d8lOUjNOR+vWOnyocMOuj35XQ6wrWuIyskSY0eT7gWr7pWj3+8Tq2trRo1YoRGVY7Q6JEVKi7qu77JDodDl3zzfL313hr95bGnNOeimRo9slL/J+8o3d+0JfV+3ah9Tae2tbW1VS+/8ab++dUG/cu8SzW8fGja7+VgtLa2ts25Gv5/2bZjp8pKSzSqskLfOm+GRgwf1qtNq4cOHqS99fVH5IVea2urPE3exD6lTe031DxNTe2hNDcnoU9pqlC65h8fqbpui2ZfeF6m3+Zhw+WkCWy6XE6n/IGAjIW6e3RXKBRSIBhUMBAOlYFgMBwwA4GYxzHroo8DCgYj+4a3DQSC0XDavm3keUIKhULR142EfY/Hc8Sd09A7LBlePR6Phg4ZrDv+7eb2D3vsBz/6OPEPKPax19usYDAUt23y5wn/G8tut7cH39gQHBeInW3BOXG90+mUw2FvW5d6O4fD0St3d2k2nL5wmRFe09HQGJ7GKtJUOBpyuxj0JNwn19OhyXJbyG2qiV6UBgIB2e32pDW3sSNvFuTlKTv78Am523fu0tDBg3v9eQvy8zVx3FhNHDdWxpjo3LKfffGVXnp9lQYUFUWDbOVRww/5OcJms+ms009VyYBiPfXUM5ru2aL7m7Z0GWC7q6sQ6/P5tGT5izrQ6NG3F1zeZ+F9/4GGaFPg6totsmXZVFUxQidN/IbmVsw6pFNL5eflqbAgX9t37T5s+r1GQml8n9JIKPXENd+VFB9K2/7+hw4qizsn5OflpvVdWlhQoAam40iL2+WSP0AtYjoiLeICgcBBn3+NMdFAGb1+jQ2SHa+F29ZHgmT4ceK1csK2bc9pTPtAgTabLaayKPY6N7EyKPJvdl5e+3Vwim07VkA5HA5lZdn061//Wo2NjSotTT2oJfovS4bXyFQ5WVlZcrlcfRLKjDFtf+CBzgNzxxNF2x0kn9+vJq+3bX0obtuOJ5Zgh5NCVlZW6j/q2KDrdKpjTXLkce2WbWrx+bRhc3WnJwq7nebXEeHaagJ/Oho8HhXm56f9GXK7XHKXlHQr5HYcdKrR06Sdu/doY3WNPJ7wBa+/Q8jNj7mAjdTgRsKvFUJuqsGaepPNZlP5kMEqHzJYU0+dJJ/Pp5ot4XlBX3njLe1vaNCIYeVtYbYy6dyyvTUNzzeOO1bFhYV6Ytly7fu//65FjbW9EmA7O779Bxr0+NLnVJCfp+uvnKfsQ3jH3u/3q2bLVm2qqdOm6lrVHzigo8qHalRlhaZMPkVDBpX1afPtoYOtMWhTKBSKa74bDaYpQmlebm77gEZtN6mGDiqLqzlNN5R2V0F+HuE1TS6XS8FgSK2trUzN1MYYk1ihElMbGWlm/eEnn8tuz2oPksFAdLvk15yB6DVpbNiMlZWV1V5hkqySJPb6z+mUy+VUXm5OlxUqzthrzbblWVlZffo9mp2drcbGxj57PRxeLBte87o54Edvsdls4T/SPhgp0xij1tbWaNCNvRuWvCY5sYa5paUlrunF7r31CgaDem3V2wknwdbW1rjXj2s+naRpddzdsyQnsfi7b87EO2sxz5np0NAZ+gmnz+ttVt4hHAk8HHJdXc7BmSzkejxN2rVnrzbX1EUvmP1+fzTk5uclr8GNDMSSk519SD6vxhjt2VevQZ1Mi3QouN1ujRldpTGjqyRJ9fsPRJuyvrNmrRwOu6qmXa2qygqNqqxQQX5edC5Z6eCD7FHDyvXtq67QY0uf0+O/+oX+UL8pZYDtqulwV8eybfsOPb70eR13zGhdeM60Xr+wNsZox67d0drVuq1fq6iwQFWVFZpx1hSNHDE8o83bygaWas++fYfs+TuG0o5TwSQLpXF/czGhNDIa76EKpd2Vl5srb3PzYdmcM1MiLZV8fn/GB4rrTGtra3xNY5KWedGmrYHI444VFbGVFJHniangaHue2Oauktquh+IrDyTpsy++VG5uTnurPYddTqdDOdnZSYJmfAu/jpUakd+P5BsIhFd0xpLh1ePxqOAInirHZrPJbrfLbrert07/L7/xpmySzp9+VsK6yIm8vY9Bh8DcRZPsJq83+fpAKGHbYDDxRN5+0k0SmDs8jp6sE5phxwZsZ9yJ3BFzZzAdPv/BN+Ppb6zSPL27ITe2T2642XL4gnt3JOS2rYuE3GjNbWyf3A5TCaUbcn0+n4LBYJ/PJ9zRgOIinTxxvE6eOF6hUEjbtu/QxppaffDxOj338msaNLBUVbO+p6rKCo0YXt4rQXZAcZFuuHKenn7+Rf1l4V367fZ/9loT4oh/frVBy156VdOnnKbJJ53Qa0HE42nSptpwzerm2joFgkGNHDFcxx9ztL513oyEOVczqSAvX7t270l7v1AolNintKm9/3okmHYMpbE1o0MHD2pv7ZCfp7zczIbS7nK7XG0troJyMl5Et0TG1fCnGV4jzV2TXnN0DJWprk1ibuaHl6W+jom9YW+z2bpo2eaUM3Kd0nZtkZeb20XTVnv0xn7HG/7Jzj93/r/79c3zztHQwV2PNo+wbLeb8IqULBlefT6fSov7bqCRI4Hf71dBfvJ+VVlZWeGL/T5rfp285jh185j27VpafPIEmzrty9wenpM0oenQTCauVjkm6DocDn29Y4dMq9E7az5o/yJKFqqT1Cr3dRMaq/AHAodVP2GXy6VSl0ulA7ofcmP75e7es1eba+uiy32xIbdDn9zYC/qCvDzl5IRDbqOnqa3JVuZDf4TdbteI4cM0YvgwTZ9yurzNkbll67TspVfV3NKiylPnqqqyQlUjK1V8+5WK/bSnE2azs7N15WWz9eLKQv3voj/qPzetTRpgkz2n478eSFkja0z4b/edNWt12awLNWb0qG4fUzLBYFB1277Wpupw7equPXvDc66OrNDcid/U8KFDLBvKCvLzwtO/tImE0ria0Q4jh3uavMlDaX6+CvLzVT5kcNw0MYdLKO2uyHnM7w/0y/Ca0FUqVe1kh8F67FlZeuOd9+RyOlMHySTf2R27SqVurhofJCPfyznZ2Smatto7/f62QlcppstJn8PpZJRmpGTJ8BruT9H/gsHBsEqoCDe/dvbJxUDs4AUpA3Ond3jD4Xfnrt3duhvc1eAFqZpZR+/Kpti2q8ELrDRN1JE6vVC6IbfjwFO79+zT5tq66PLYkOt0hE+zL72+KulUQpGQm0m5OTkad+wYjTs2PLfsnr37tLGmVhura/X62+8qd/Q5qqocEa6VfeCXykmzVtZut2vWeefo/ZISPfTEEt3y0d+SBtjujiocCoW04tXXtammTtddMUdDelCjEWnOHWlKXbNlq3Kys1VVOUJTTj0lPOdqjrVaAMWG0tia0R27d2vXnr26f/EjamxqktcbniOxYygtzM/XsCGD42605OXmHFGhtLvsdruysrLk8/uVl2eNeeWj04Wk7AvZ2cCTgbbHKcbu6HDzt2MrqcgglfEzL9jVsTWULSsr2pIkMsdte9NWuzrO/JDshvKR3Nw1GRdBLG02my2hyxsQYeHw2r9ObgcrFArJ0c8uQCLNgXo6Qfwyr1clA4p15mmTu7V9tNlTxwuLuCbZqS4sgmpp8ka367zJdrJ+NCmaPXUIusn7zER+P/hponz+/j29UPdDbiDaFPOzL9drY3WNnA6Hdu/Zp+raLdHw4fP7lZWVldAXN7bGK9KEOTcnp09Crs1mU9nAUpUNLNVpJ5+oYDCo2q3btKmmTm+993ftHnyyyocMUlVlpSpfeFDDbr9SkbN1Z8HTZrPptFNO1IDiIj37wsu6+m/PdqsJccfnbG5u0ZPPLZffH9B3rr4iZYuTZJpbWsI1zNW12lRTJ2+zVxXDh6tqZIXOnTZVZaUlGbmREA6lMaPuxsxNGltzGgml+Xm57QMa5edpQFGRQqGQzjrjVBUVFET7lPI9mprNZpPL1XWo6Gq6kORTgMT2qeykGWwn04VIStKVxt7pDdLctsF4Omvamup7I/ZzH9tloKNtpeM18f3lGulv6HZZ99ZAcIcru92uUIgglo4swis6Yd3wapGapsMFg06kL925cSP9lPtiYJbwHfju3UFPdpe+ublFjV00/4p9zo7vM/lohQ7V7z8gp8Ohpd6XuxitMKaf8yGeJsqKXC6nSlzFKhlQrK1f79CwoUN07rSpCdtFQ24kqLQFl7379qmmbkt0QCqfLzHkRpsod5hKqLdDrsPhCDcfrqyQpk1tm1u2TptqarV22EkKhUIaWXGUKv+xUsfsP6ABXXT5OPboKl07f64eX/qcLvzR1fo/BRW6v7E2/FpdXOTura/XY888p0Glpbry0ou7bG3S2tqqrV/viA609PWOnSorLVVV5QhddMEMVQwf1uObX92RLJQ2NnkS+pR6m5tls9mUl5sTd/OisKBAw4YOSehT2jGUBoNB/f3DjzV86NCM960+1KItblINapi05jJ+CpDY6UKWv7JSdoejw/N0Ml1Ikuaq8TcJY+eadyrb7e6yaWuyQGqF5q7JuExIPtuRed4+VGw2W9znCF2zZRFekZolw2soFFJWFifHdBgjS37RWVmotdWy4Sk8TVRWnzQFj/R9ihtZMaGWIfz47x9+rLzcXJUNLInWHESniUrS1DpZjUSPponq2AcqYfTFJKNed9guUxeDjU0e5acYPT025HYmEAh0GEwnHGqjIbct/EZCbmzT5PY+ufFTCfU05Ibnlj1eE8cdHze37Bdjp+jVBx5ScVFhNOxWjhietK/90MGD9O0F8/X40ud02o+v1/dKR+uPezdKaqv1+f8eTNindstWPblshU74xljNOGtKymPff+CANlbXanNNnTbX1cmeZdeoyhE6eeJ4VVWOSKumNpVgMBgz0FH7/4enQ81peyiNH+ioqLB7obS7HG19Ahs9noyE166mC0k+BUj8uaan04XY7fa45qrx81DGdtsIrw9PFxJuzl+7ZauGDyvX8KFDUo6VYPvVzXKYVjlNq+w6+AByuNdCZhnTC6XQv9hsNlFq6bHZsgivSMmS4bW1tVU2+rymxZhWwmuaKLOw2Gmiuurh98+vNqiqskKTTpzQo9eKThOV9CK166Z1gUB4mqhUzbc7Pk+n00SlbD7dRf/lNKeJ8jR5NWRQWY/Kq/24nSoZ0P2QGz9Ij0d799Wrpm5rNGC1+HwxITc3bjTljn1yc3NTh9yEuWX9ftXUbdWmmlq9uuot7T/QoKOGDY2G2aGDB0Wfq7AgX9fNn6tnVryssbe79P3h43Tf1s/kWPiYQj6fJCn40xvkvusRrfvsn3ph5Rs6/+yzdNKEb8Qdg9/vV3Xba26qqY17zSmnnhL3ml2JhNLYqWBim/A2erxqbPKoubklZSgdXj40oU9pXzTfzc/Pk6fJG/29fTq21IPfJZ0upMN2idOFJD5Pqm4OnU+x1l57GRmMJ2lXhk7+Bg92upAvNmzQiGHlGnvsMSm3CbYGevz8R6JwDON7Mx3UvKaPZsPojGXDq52+Ommh2XD6KLP0tbaGZLf3/G8zbpqoPmt+HXuxHnvR3XWT7NhpojoPAKmniQoGgqqu3aJP//lVL04TZY9rkh25gO9+yA22B7KY2sO9+/arpm5rNPy2h9zcuEDWsU9uJOS6XS6NGT0qOvJvdG7Zmlq9u2at7PZwLWg4zIZrQS+/eJZeW1Wk5oIS/euxk3Xvl2uix2n/5f/qjbdX64OP1umKiy/SqMoR0TlXN1bXaHNNneq2fa3iwkJVjazQedPOTFrbGw6lHfuTJvYpjYTSuD6lebkqKiyMhtLI+083lHY1XUhcjWR3pwuJ+Tzu279fS1e8FP7/DaaYLqRjE/4UN16cDofcbYONxd7MefDa78sEguGfYNu/gUDM46DUoRtCZ3pzyqSeyMqyq9VwgZwOmyTD12ZasgivacvKouYVqVk2vNoIr2khiKWPMkvf4VZm4ebXrj4ZITk6TVSHcPvCa29o2JAhGlU5otMm2T6fXx5PU7fnQuz4PlMH3fhar2TNsV1OpwaXlWn40Ph1ki08hZXPp2Zfi5qbW9TU5NW++v2q27otGn5bWtpDbrI+uSeOH6cpk0+Rx+PVth07tPbjT/T8y6+F+5+OrNDoUZUqLirU68GAbj31XP32zRWSpGfv+pV2Da7U5Zd8SwcONGjpipe0qbZOoWC4n+2xR4/WtDNOVVZWlho9Tdrf0KB33v9ADateVGOWS54spzx2l5qzHNFQGhu+i4sKVT5ksHKys5Wd7ZbbFe6fGK61TGxGv7d+v3bu3pPQ3/JgpguJq/HfUdfWRNXIYULhf9X2r2lVtmmNNmF1qO3ftt9X5h+lsS17dYxvv5wKL8/5xZ/kdDp7bWqvln9uOOjnsJJwjVimj+LwkkXNa9r4nKWP0YbRGcuGV0ZJTA99XtNHmaWPMkst1TRRbpdTg8pKdUzVyF57rYOuxQsE5W1uSVmL1/E5O9bixYbh/NxcFRUUKivLJpvCNQwHGhpVv/9A+BjbBtfxB/wKBkOy2Wxyu1wqKihQIBTQ519+pbUfrVMwFFRBfr5K5szSk0uXS5Jqi4bIEQjqoSeWKCc7W253eL7qYFZQm2rq9OWGTbIZI6cJyRnpl2iM7I5cZUmyq1VFoRYVBm3auq9J9U6n9jsdsjkcsjkdsnX4v+pYixh+HOhQ0xiuXTz7xn+R2+1Sfl5e583Lu6gtj9XZKK9dedcMVXGrX4NCzdFljuzsHj9ff0CNWPpsEr0300Sz4fQxYBM6Y8nwGgqF5Gtp0e7dezJ9KIcNj8ej/QcOUGZpoMzSR5mlr7HRowMNDYe8zGySXA6HXA6H1MuhJdTW/DoYCgfaYCCkQCgU/j0yt2QoqGAo1PZ7W3gOhRSKqYH0h4Ly+3zy+fzy+XzytwXnYCg8TUhzc4sk6YuNG+Xz+eRyuWSz2WSz2RQKBtWyr0WOtlrHXBOSqzWk7GMntAVFuxxt/ZAd9sickw7ZHXY57U6t+/4Pw8EzFAmmofC/ofSbu0rSSffe2f2NW1sV8Lcq4O+8/2QwEOp0fWdafD7t8we1O+Y5HL38mQu4eveSIdPnEa/Xq/r99Z0ex8H8nyTT2/8nh0Jn79nr86m+w+esK4fDez6UuvM5Q7zWUKuampoOu9Ze6Bs2Y8HbQdu3b1d5eXmmDwMAAABABhw4cECFhYWZPgxYjCXDqzFGjY2NmT4MAEAGRL4DCgoKuOsOAP0U3wFIxpLhFQAAAACAWIyKBAAAAACwPMIrAAAAAMDyCK8AAAAAAMsjvAIAAAAALI/wCgAAAACwPMIrAAAAAMDyCK8AAEtoaWnRz372Mx1zzDHKzs5WeXm5rr/+em3dujXTh5YRXq9Xy5Yt0w033KDx48ersLBQeXl5mjBhgn7xi1/I4/Gk3Pfhhx/WpEmTlJ+fr5KSEs2cOVOrV6/uw6O3jn379mnQoEGy2Ww69thjO922v5fbjh07dNttt+mYY45RTk6OSkpKdNJJJ+lHP/pR0u37e3m9//77uuyyyzRkyBA5nU6VlJTonHPO0ZIlS1Luc6SX2T/+8Q/95je/0aWXXqphw4bJZrMpOzu7y/16Ui6rV6/WzJkzVVJSovz8fE2aNEkPPfRQb70VWJUBACDDmpubzemnn24kmaFDh5p58+aZSZMmGUmmrKzMbNy4MdOH2Of+/Oc/G0lGkhk7dqyZO3euOf/8801BQYGRZI499lizc+fOhP1uu+02I8nk5OSY2bNnm/PPP984HA5jt9vN0qVLM/BOMuuaa64xNpvNSDJjxoxJuV1/L7fVq1eb4uJiI8kcf/zxZt68eebCCy80FRUVxm63J2zf38vrqaeeMllZWUaSOfnkk83ll19upk6dGl324x//OGGf/lBms2fPjp63Ij9ut7vTfXpSLkuXLjV2u93YbDZz1llnmcsuuyz6+b3tttsOxVuDRRBeAQAZd8cddxhJ5rTTTjONjY3R5XfffbeRZM4888wMHl1mPPTQQ+Z73/ueWb9+fdzyr7/+2pxwwglGkpk/f37cutdff91IMqWlpXH7rV692rhcLlNUVGT27dvXJ8dvBStXrjSSzI033thpeO3v5bZt2zZTXFxscnJykoaFNWvWxP3e38srEAiYsrIyI8k88cQTcetWr15tsrOzjc1mi7vp1l/K7De/+Y35z//8T7N8+XKzY8eOLsNrT8pl3759pqioyEgyzzzzTHT5jh07zOjRo40k88Ybb/T+m4MlEF4BABnl9/ujd8w//PDDhPXjx483kszatWszcHTWtHr16uhFoc/niy6fOXOmkWTuueeehH1uvvlmI8ksXLiwD480c7xerxk9erQ5/vjjzfr16zsNr/293K6++mojydx7773d2r6/l9enn34abf2QTKT28cknn4wu669l1lV47Um53HnnnUaSmT17dsI+S5cuNZLMrFmzDvbQYVH0eQUAZNQ777yj/fv3q6qqSieccELC+jlz5kiSli9f3teHZlkTJkyQJPl8Pu3du1dSuM/w66+/Lqm9zGL1t3L8+c9/rk2bNumPf/yjnE5nyu36e7nV19frqaeeUlFRkb797W93uX1/Ly9Jcrvd3dqupKREEmWWSk/LZcWKFSn3+eY3v6ns7GytXLlSLS0tvX3IsADCKwAgo9atWydJOvHEE5OujyyPbAdp8+bNkhQdJEaSvvzyS/l8PpWVlWn48OEJ+0TK8ZNPPum7A82QTz75RHfffbeuu+46nXnmmZ1u29/L7d1335XP59OUKVPkdDq1ZMkS3Xrrrfr+97+ve++9Vzt37ozbvr+XlySNGjVKo0aN0pdffqmnnnoqbt17772nV155RSNHjox+9iiz5HpaLpHfk31nuFwujRs3Ti0tLfrqq68OwVEj0wivAICMqqurk6SkFy+xyyPbQfrDH/4gSbrggguitUBdlWNeXp6Ki4tVX1+vxsbGvjnQDGhtbdV3vvMdFRcX68477+xy+/5ebp9//rkkafDgwZo6darmzp2rP/zhD1q0aJFuvvlmVVVV6emnn45u39/LS5LsdrsWL16soqIiXX755TrllFN0xRVX6KyzztKUKVM0ceJEvfrqq3K5XJIos1R6Ui4NDQ3av39/p/vxnXFkI7wCADIqMuVLbm5u0vV5eXlx2/V3L774oh544AE5nU798pe/jC7vqhyl/lGW9957r/7+97/rrrvuUmlpaZfb9/dyq6+vlxSequSTTz7RAw88oN27d6u6ulo/+MEP1NTUpAULFkRru/p7eUVMnTpVb775pkaOHKm1a9fqySef1FtvvaW8vDzNmDFD5eXl0W0ps+R6Ui6x5cN3Rv9EeAUAZJQxRpJks9k6XQ/piy++0IIFC2SM0V133RXt+yp1XY6x2xyptmzZop/+9Kc666yzdO2113Zrn/5ebqFQSJIUDAb1u9/9Ttdff70GDhyoyspK3X333ZozZ478fn+0Fru/l1fE448/rsmTJ2vEiBFas2aNPB6P1q9fr/nz5+u//uu/NGPGDAUCAUmUWSo9KZfulFN/LMv+hPAKAMiogoICSVJTU1PS9V6vV5KUn5/fZ8dkRVu3btUFF1yg+vp6/eAHP9Att9wSt76rcpSO/LK86aab5Pf79cc//rHb+/T3cou8/6ysLF1zzTUJ66+//npJ0qpVq+K276/lJUkbNmzQNddco7KyMr3wwguaNGmS8vLydPTRR+tPf/qTvvWtb+m9997Tgw8+KIkyS6Un5RLZJ3ZdV/vgyOLI9AEAAPq3ESNGSAqHs2QiyyPb9Ud79uzRueeeq7q6Ol133XVauHBhwjZdlWNTU5P279+v4uLiuAvAI8mKFStUXFys733ve3HLI6OO1tXVadq0adFt8/Pz+325VVZWSpKGDBmSdBTdyPpdu3ZJ4nMmSU888YQCgYAuuOCCaBPVWPPmzdPy5cu1atUq3XjjjZRZCj0pl8LCQhUVFenAgQPaunWrjj/++IT9+M44shFeAQAZFWn6+uGHHyZdH1k+fvz4PjsmK2lsbNSFF16oL7/8Updeeqn+/Oc/J21mN2bMGLndbu3evVtbt25NGMykv5Tj/v379eabbyZd19zcHF0XDAYlUW6R6anq6+tljEn4bEWmYorUYvX38pLaw1FhYWHS9ZHl+/btk0SZpdLTcpkwYYLeeustffjhhwnhNRAI6LPPPpPb7daYMWMO7RtARtBsGACQUWeccYaKioq0adMmffTRRwnrlyxZIkmaNWtWXx9axvl8Ps2ePVtr167V+eefr8cff1x2uz3ptjk5OZo+fbqk9jKL1R/K0RiT9Ke6ulpS+GI5sqy4uFgS5faNb3xDI0eOVHNzs9asWZOwPtJcODItSX8vLylcSy1Ja9euTbr+gw8+kNRea02ZJdfTcvnmN7+Zcp8VK1aopaVF55xzjrKzs3v7kGEFBgCADPvJT35iJJnTTz/deDye6PK7777bSDJTpkzJ4NFlRjAYNJdccomRZKZOnWqampq63Oe1114zkkxpaalZv359dPnq1auN2+02hYWFZu/evYfysC2purraSDJjxoxJur6/l9v9999vJJlTTjnF7N69O7p87dq1pri42EgyTz/9dHR5fy+vf/zjH0aSkWQWLVoUt+69994zeXl5RpJ57bXXosv7a5lJMm63O+X6npTL3r17TWFhoZFknnnmmejynTt3mtGjRxtJZuXKlb3/ZmAJhFcAQMY1NzebyZMnG0lm6NChZt68edHfS0tLzYYNGzJ9iH3u97//ffQC+ZJLLjHXXHNN0p/YsGGMMbfccouRZHJzc83s2bPNhRdeaBwOh8nKyjJLlizJ0LvJrK7CqzH9u9xCoZCZO3eukWRKSkrMrFmzzLRp04zL5TKSzHe+852EffpzeRljzO233x79+xw7dqyZO3euOeOMM0xWVpaRZG688caEffpDma1YscJMnjw5+iPJ2Gy2uGUrVqyI26cn5bJkyRKTlZVlbDabmTZtmpkzZ070RsvNN9/cF28VGUJ4BQBYgtfrNXfccYepqqoyLpfLDB482FxzzTWmrq4u04eWET/72c+iF8ed/VRXVyfs++CDD5qTTjrJ5ObmmqKiInP++eebt99+u+/fhEV0J7wa07/LLRQKmfvuu8+ccMIJJjc31+Tl5ZnTTz/dPPzwwyn36c/lZYwxS5cuNeedd54pLS01DofDDBgwwJx99tnm0UcfTbnPkV5mDz74YJfnrAcffDDpfumWyzvvvGMuuOACU1xcbHJzc81JJ51k/vKXvxyidwarsBnDZEgAAAAAAGtjwCYAAAAAgOURXgEAAAAAlkd4BQAAAABYHuEVAAAAAGB5hFcAAAAAgOURXgEAAAAAlkd4BQAAAABYHuEVAAAAAGB5hFcAAAAAgOURXgEAAAAAlkd4BQAAAABYHuEVAAAAAGB5hFcAAIAj2OLFi2Wz2aI/xcXFKbf1er269957dd5552no0KFyuVwqKCjQ8ccfr+uuu07Lly9Xa2trj48lFAqpvLxcNptNb7/9dpfb/+IXv5DNZtNVV10VXVZcXBz3fhYvXtzj4wFweHFk+gAAAABw6E2YMEETJ05Ubm5u0vXvvfee5syZo6+//lrZ2dmaNGmSysvL1dLSog0bNmjx4sVavHixxo8fr3Xr1vXoGOx2u+bPn6/f/e53evTRRzV16tROt3/00UclSVdffXV02ZVXXimv16uPP/64x8cB4PBEzSsAAEA/cPHFF2vx4sVatGhRwrqPP/5Y06dP1/bt2/Xv//7v2rVrl9588009/vjjevbZZ/XZZ5+purpa//qv/6rNmzcf1HFEgujTTz8tv9+fcrsPPvhA69ev1+DBg3XuuedGly9atEiLFy/WxRdffFDHAeDwQ3gFAADox4wxWrBggVpaWvSrX/1Kv/71r1VQUJCwXWVlpf77v/9bq1atOqjXmzhxosaNG6d9+/bppZdeSrldpNZ1/vz5stvtB/WaAI4MhFcAAAALqampkc1m07Rp09TQ0KBbbrlFRx11lLKzs3XcccfpnnvuOah+px29+OKL+vzzz1VRUaEf/ehHXW5/0kknpTzu7373u6qsrJTb7VZZWZnmzJmjTz75JGHbSO3rI488kvS5QqGQnnjiCUnSggULuvtWABzhCK8AAAAW5PP5NH36dD388MOaNGmSzj33XNXW1uoHP/iBbrjhhl57nUjt55w5c5SV1bNLw3feeUcTJkzQ//zP/yg/P18XXXSRjj76aC1dulSnnnqq/va3v8Vtf9VVVykrK0srVqxQQ0NDwvOtXLlSO3fu1HHHHZcyLAPofwivAAAAFvT+++8rEAhow4YNeuaZZ7R8+XJ9+umnKi8v1+LFi/X888/3yutEBj064YQTerR/Q0OD5s6dq+bmZj399NP67LPP9PTTT2v16tV69dVXFQqFdPXVV8f1bx02bJjOPvtstbS0aMmSJQnPGamRpdYVQCzCKwAAgEUtXLhQAwcOjP5eVVWlO+64Q5J033339cpr7NmzR5LiXifWtddem/CzZs2a6Pq//OUv2rFjh26//XbNmTMnbt8ZM2bopptu0rZt27RixYq4dZGmw5G+rRFer1fLli1LmCIHAAivAAAAFlRSUhI3ym7ElVdeKUlavXq1jDEH/TqR57DZbEnXP/TQQwk/1dXV0fWvvfaaJKUc/XfKlCmSwqMHx7rsssuUm5urVatWadu2bdHly5Ytk8fj0dSpU1VRUdHj9wXgyEN4BQAAsKBUwa2wsFDFxcXyeDxJ+4umK1LjGqmB7cgYE/255pprEtbX1NRIkiZPniybzZbwE6mN7fj8+fn5uvjii9Xa2qrHH388ujzZ3K4AIEmOTB8AAAAA0tMbNa4REyZM0LvvvqsPP/wwWqubjlAoJEmaO3eucnNzU243efLkhGVXX321HnvsMT3yyCO6/fbbtXv3br366qtyu90JTZABgPAKAABgQXV1dUmXNzQ06MCBA8rLy1NhYeFBv86FF16oRYsWacmSJbrzzjvTHnF4+PDh+uqrr/TTn/5U48ePT2vfc889V0OGDNG6dev0+eef629/+5uCwaAuvvhiFRcXp/VcAI58NBsGAACwoL1792rlypUJyyNNbE8//fSU/VTTMXPmTB133HGqra3Vb3/727T3nzFjhqRwX9V02e12zZ8/X1J4hGFGGQbQGcIrAACARf3whz/U3r17o79XV1frl7/8pSTppptu6pXXyMrK0l//+le53W795Cc/0X/8x3+osbExYbva2lqtX78+Yfl3v/tdlZWV6Ve/+pUefPDBhCbNTU1Nevjhh7V169akrx/p2/rnP/9Za9asUWlpqWbOnNkL7wzAkYZmwwAAABZ06qmnyu/36+ijj9b06dPl9/v1+uuvy+v1asGCBSlH9+2Jk046SStXrtScOXP0m9/8Rr///e81adIklZeXq7m5WVu3btVHH32k1tZWjR07VhMnTozuO2DAAD377LO66KKLdP311+vnP/+5xo0bJ7fbrbq6On3xxRdqamrSRx99pOHDhye89gknnKCxY8fq888/lyTNmzdPTqez194bgCMHNa8AAAAW5Ha79cYbb2j+/Pl677339Morr+ioo47SwoULtXjx4l5/vSlTpmjTpk265557dPrpp+vLL7/UM888o9dff11NTU266qqr9Pzzz2vdunU69thj4/Y944wz9Omnn+rf/u3flJOTozfeeEOvvvqqGhoaNGvWLD355JM6/vjjU7527MjCNBkGkAo1rwAAABZVVFSk++67T/fdd1+fvF5eXp5uvfVW3XrrrWnvW15eroULF2rhwoVp7/vjH/9YP/7xj9PeD0D/QngFAADoB5YtW6aamhrl5uZq0aJFmT6cHrvpppvk9Xr18ccfZ/pQAPQxwisAAEA/sG7dOq1bt05FRUWHdXh97LHHdODAgUwfBoAMsJnenOUaAAAAB6WmpkYjR47UWWedpVWrVmX6cADAMgivAAAAAADLY7RhAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWB7hFQAAAABgeYRXAAAAAIDlEV4BAAAAAJZHeAUAAAAAWN7/D4dUzGfv/FtWAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10,10))\n",
    "plt.rcParams['font.size'] = '15'\n",
    "\n",
    "ax1 = fig.add_subplot(111, polar=True)\n",
    "\n",
    "#r_edges = np.linspace(0, nr, 30)\n",
    "r_edges = np.linspace(0, 100, 20)\n",
    "theta_edges = np.linspace(0, np.pi, ntheta + 1)\n",
    "H_e = plt.hist2d([Event_Particles.iloc[0]['momentum']], [Event_Particles.iloc[0]['theta']], [r_edges, theta_edges])[0]\n",
    "H = plt.hist2d(Event_Particles.iloc[1:]['momentum'], Event_Particles.iloc[1:]['theta'], [r_edges, theta_edges])[0]\n",
    "ax1.cla()\n",
    "\n",
    "Theta, R = np.meshgrid(theta_edges, r_edges)\n",
    "im = ax1.pcolormesh(Theta, R, H, cmap='Reds')\n",
    "ax1.set_thetagrids(angles, labels=eta_labels, fontsize=15)\n",
    "ax1.set_xlabel('p [GeV]')\n",
    "ax1.xaxis.set_label_coords(0.8, 0.2)\n",
    "ax1.grid(color='grey')\n",
    "im_e.set_clim(0,1)\n",
    "cbar = fig.colorbar(im, shrink=0.7, pad=0.01, cax=plt.axes([0.95, 0.35, 0.03, 0.3]))\n",
    "cbar.ax.tick_params(labelsize=15)\n",
    "im.set_clim(0,2)\n",
    "ax1.set_thetamax(180)\n",
    "fig.suptitle('Other final state particles', y=0.75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    -1.504     5.615  -311.043   310.954 (   -9.455)\n",
      "\n",
      "311.09767656803876 3.1229064298799414\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10,10))\n",
    "plt.rcParams['font.size'] = '15'\n",
    "\n",
    "ax1 = fig.add_subplot(111, polar=True)\n",
    "\n",
    "r_edges = np.linspace(0, 100, 20)\n",
    "theta_edges = np.linspace(0, np.pi, ntheta + 1)\n",
    "H_e = plt.hist2d([photon.pAbs()], [photon.theta()], [r_edges, theta_edges])[0]\n",
    "ax1.cla()\n",
    "\n",
    "Theta, R = np.meshgrid(theta_edges, r_edges)\n",
    "im_e = ax1.pcolormesh(Theta, R, H_e, cmap='Greens')\n",
    "ax1.set_thetagrids(angles, labels=eta_labels, fontsize=15)\n",
    "ax1.set_xlabel('p [GeV]')\n",
    "ax1.xaxis.set_label_coords(0.8, 0.2)\n",
    "ax1.grid(color='grey')\n",
    "im_e.set_clim(0,1)\n",
    "ax1.set_thetamax(180)\n",
    "fig.suptitle('Virtual photon', y=0.75)\n",
    "\n",
    "print(photon)\n",
    "print(photon.pAbs(),photon.theta())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mpl_toolkits import mplot3d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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M9TyEyGWCnoFvURkbG0NraytWrFiBuLg4zMzMsMleJkTClLYKLLCUxNW+ETM/P9/vRsxIERVnhIFlgqgEHedkPPOB8jQf3h0URaGnpweDg4NYvXo1cnNzPX4YxW5OKgAAkRgg3d+LxWrz6z6dIUkSHR0dmJiYwMaNG6FUKkGSpEOyV6PRsIaIJElCLpdDoVAgJSUFsbGxS+ZL5w9L9W/3pRGTCZnJ5XI2dBzpLEeREUQliLjrPRGLxX6JitFoRFNTE6xWK7Zu3YqEhASvfo9TVMRigHR/GjHxkFMxGAxoaGgAQRCora1FTEwM62fGEBMTg9zcXDYO397eDqPRiOnpadarKiUlhT3JyOXygO8rWlhKJxVPcDViDg8Po62tDXFxcezCa7Vaw96I6QvLYSqmICpBwFPviT8nlampKTQ3NyMzMxOrV6/2qQ9AzLGjExEScN2JJcDw19TUFJqampCTk4Py8nKvdpeMUaBYLEZZWZnD7nVkZATt7e1shzeTj4mWKYi+wghKtCwofOOqEXNmZgYDAwPQ6XT49NNPER8f79DtH02fBW+nYt5999244IILcM4554T5jj0TPa9+lOBN74kvokJRFDo7OzEyMoI1a9YgJyfH53vyGP7iwGLzL/xlP+9+7dq1yM7O9un37V8z+91rcXGxQ4d3T08PjEYj2xeRkpISlL6IcLHcRcUZqVSK9PR0zM7OIikpCfn5+exJpru7GyaTaVG3f7jHOPiCu6mYH3/8MWpqasJ4Z94jiAqPMLXrnnpPRCIRKzpcMGEjAKitrUVcXJxf9yURcyywHkTFn0S9yWRCY2MjrFar3/Puuaq/nDu8TSYTm49pbm52GFCVkpISVbND3BHt9883jKGkXC5HZmYmMjMzASx8FpgNR3t7OywWi0OPTLRtOBiR0ev1fn//Q40gKjzg65hfb04q4+PjaG1tRW5uLsrKygL6IkgCOKlYfTypqNVqNDY2Ii0tDVVVVW5DEXzOU1EoFMjJyWGb7/R6PSsy/f39DiWrKSkpEW/rbs9yyqf4AkVRLnMpCoUC2dnZyM7OdtmISZKkQ48MH42YwYaZ7OltDjXcCKISIP5YrXCJin2V1Lp169gdWCBwnVQIT+Evi3eiYt+EWV5ejhUrVgT0ZfX3d+37IvLy8tiSVY1Gg/HxcXR2diImJsahZDUaEr2RvvCFGm9Kij01Yg4ODgJAwI2YoUCv1yM2NvQjKPxBEBU/ce498WWIllgsdhn+0ul0aGhogEQiYauk+EDC8eXzKCpenFQsFguam5uh0+k4mzB9hY9dun3JKvBVNZFGo0F/fz9aWlqQkJDAVpZFWgxeOKm4xp8+FedGTJqmMT8/zzZi9vX1QSQSOST9I6WUXa/XCyeVpYzzmF9fpzIypZD21xsdHUV7ezvy8vJQUlLCa9xXKg4g/GXlzqnMzs6ivr6e9RzzdtfPJCDdEayOeudqIrPZzIbK2traYLPZkJSUxBYGxMfHh3VRERL1ruGj+ZEgiEWNmPPz89BoNJicnER3dzckEsmibv9QY7PZYDab/cpNhgNBVHzEecyvPx9s+/CXzWZDW1sbpqensXHjRqSnp/N6v4Cn8Bf3/btrfqRpGkNDQ+jq6sKqVatQUFAQlQufXC53iMEbDAZotVpoNBoMDAw47FxTUlLCsqgAgqg4E4yOepFIhKSkJCQlJbGNmEy3PxM6lcvlDiITin4pnU4HAIKoLDX4HPPLiMrc3BwaGhqgUChQW1sbtASyTOJ/9ZerRL39RMmqqqqg2KqEw/uLIAjExcUhLi4OK1asWLRz7erqglwuZ0NloRizK4S/XBMKmxb7Ag9g4XPP9EsxjZixsbFBz8/p9XoAgqgsKfiee0IQBHQ6HY4fP47CwkIUFxcHdSfKWVJMcH8xrTbH3M/8/DwaGhogl8tRW1sbtJ1aJOzMXe1cmXwMM2Y3Pj6eFRlnU0w+iYTXI5IIh/eXRCJBamoqUlNTAXzViMlUGba0tASlEVOv1yMmJiaicn1cCKLiAb7H/FqtVoyOjkKv16O6ujok5omyAMJf9icVxgwyPz8fJSUlQV/oIm2XLhaLHRYVi8XChso6OjrYnggmH8NHuWqkvQaRQiR4fzGNmEzImvk88N2IyfSoRMvGQhAVN/jae+INMzMzaGhogFQqRWJiYsjceGUS9x9kgvAU/iIXmUEGI++z+L4i3/peJpOxjXf2PREajQZDQ0MAFspVmZOMP5VEQqLeNZHoUmz/eQC4GzGZscve/A06nS5qyokBQVRcwne4i6ZpDAwMoKenB6tWrYJCocDAwABPd+sZaQA5FbPZguPHjzuYQYaCaFtEXfVEMPkYlUqFnp4eSKVSNuHva5I32l6PYMN01Ecy3jRi2o97iI+Pdykyer0+7FWIviCIihN8j/m1WCxoampiw11KpRJTU1N+W9/7A1f4y1NORTU9DaVS6bUZpLfw2VEfidiXqxYUFDiYYtq77drnY1zF36P5NQgmFEVFTY4B4G7EnJmZwdDQEGiadmjEZIQk2BYtx44dw4MPPojPP/8carUaCQkJ2LRpE2655RZcdtllPl9PEJVTOPee8CEoarUaTU1NUCqVDj0cgcxT8Qc5Z/iLWygUMbGoqKjg+5Y8Ei27Mm/hMsVk4u9MSNTeoyqaRgmHkmg4qXDhqhGTmYjJJP4NBgP+9re/YcWKFZDJZEH5LLz88sv4xje+AYqisHnzZuzcuRNjY2P46KOPcOjQIfz0pz/FH/7wB5+uKYgKFvee+NrM6AxN0+jt7UV/fz/KysqwcuXKRdb33hhK8gV3STG3qIjCuBtcyrt0Z1NM+3zMyMgIa4rJlJEK4uJIJOZUAoEgCCQkJCAhIYG1FxoaGsKaNWtw+PBhtLe3Izc3F2eeeSa+9rWv4Yorrgi4w95ms+F//ud/QFEUXnzxRXz9619nf3b06FGceeaZeOCBB3DjjTeiuLjY6+sunXfFD5hkvMViYcf7BnpCMZlM+PLLLzE+Po4tW7YgLy/PpfV9KBdMuZRDGDx8MW224Iifp9c4GhL1fBITE4OcnBysXbsWp512GiorK5GcnIyZmRnQNI3PP/8cra2tGB8fZ4c5LWeWmqg4IxKJUFBQgPvuuw+XXHIJLrnkEjz//PMoKirCM888A7PZHPBzdHR0QKVSoby83EFQAGDbtm0477zzQNM0Tp486dN1l+1Jhe9kPACoVCo0NTUhPT0dlZWVbmvUQ35S4RIVD+GvUN6nPct5V26/a01NTcWXX36JNWvWOIzYZUwxmSFl0WCKyReMxc9SFhV79Ho9kpKSsHPnTuzcuRN33303L9f1tlDE1yrVZSkqfPee2A+kqqioQG5uLufjQ59T4ehT8SAqtiCKiqfXfTmdVNzBLJ5M8raoqAg2m42Nvff29sJoNLL9ECkpKV6XqkYrgVgkRSPBStQXFRWhqKgIHR0deOmll3DFFVewPzt69Cjee+89FBYW4vTTT/fpustKVDyN+fUHg8GAxsZGUBTl9UAqRlRCFSdXBHBSsZGhEz97llv4yx2uXgOJROLQdGdvitna2gqbzebQHxNN5ajesBxFJRg9bWKxGP/85z9x0UUX4etf/zoefPBBFBcXY3x8HJ999hlqamrw3HPP+WxFtGxEJRjhrsnJSTQ3NyM7Oxvl5eVelzgyjwuVqMilHG9zhIa/BL7C02fElSmm/ZAy5qTDiEy4TDH5ghHa5SQqwfL92rFjBz7++GPs27cPJ06cwIkTJwAACQkJOPvss/0aX74s3hWSJKHX6/Hhhx/yEvIiSRJtbW1obm7G2rVrsWbNGp9q5pkvQ6hCYAqukmJPiXrhpBJWfH0NGFPMlStXYv369dixYwfWr1+PuLg4jI+P49ixYzh69Cg6OjowNTXlcbRBJMJsdJbS6YuLYE59fOGFF9iCouPHj0On06GrqwtXXnklfve73+Hss8/2+TOypE8qzr0nzPz4QNDr9WhoaIBIJEJtba1f9gkhFxUZV/iL+4tJUUKiPpwEepp1NsVkhpTZmyA652MivamQL9ukaCFYUx+7u7vxrW99C5mZmXjrrbfYvE1JSQn+/ve/Y3x8HG+88QaeeeYZ3HTTTV5fd8mKCkVRsNls7K5GIpGAIIiAwjmMoeLKlStRWlrq9/E71KISE1D1V3hOKoCQqGfgc/F0NaTM3p/KarU6WIdE4gz3pV5O7Eywpj6++OKLsFqtOP/8810WAlxxxRV444038NFHHy1vUeEa8+tujK8nbDYb2tvbMTU1hQ0bNrANa/7C3FMo8hUkSWJ8dJjrZrh/P4RVavYI4a8Fgv0ayOVyZGVlISsri/WnYvIxjCmm85CycItMtHfT+4pOpwtK9dfIyAgAIDEx0eXPmX/XaDQ+XXdJiYqnMb9isdjn0wEzP0Qmk2H79u28DdIKRVmxwWBAQ0MDrCaL28d4KikOp6gIhLaT3t6fasWKFYtMMbu7uyGTydiEf0pKStCHlLliOZ1UmMKLYCTqs7KyAIBNzjvz5ZdfAgAKCgp8uu6SeWcoioLFYoHVanXbGS8SiVjB8QRN0xgeHsaxY8eQlZWF6upqXicz+iNwvjA1NYUjR45AqVSietMG9w/0lFMRwl/LFsYUs6CgAJs2bcLpp5+O1atXQyqVYnh4GJ999hm++OILdHd3Q61We/3dCpTlJCpA8PpU9uzZAwD45JNP8Pjjjzv87NixY/jjH/8IAD6bSkb9ScWX3hNvF3L7cbmVlZXsUCY+CdZJxb4Rc+3atcjOzsaoRuf+FyI4/CUQWZ5f9qaYwELhCzMJs7OzE2azeVE+JhiL/3IUlWDkVCorK3HHHXfgoYcewq233orHHnsMFRUVGBsbw9GjR0FRFG666SacffbZPl03qkXF194Tb3Iqs7OzaGhoQGxsbFDH5QZDVEwmExobG2G1Wh0aMRUcfSqEh8MqRYXvtCCcVBaIFFFxRiaTLTLFZPIxjCmmfT7GnyFlrlhOosJEX4JVUvzggw+itrYWf/vb33Dy5El0dnYiISEBZ5xxBm644QZcddVVPl8zakWFCXf50hnPJSo0TWNwcBDd3d0oLi5GYWFhUL/MfIuKWq1GY2Mj0tLSUFVV5eA7FiPnan70EP6ig3Oaamtrw9TUFNv5nZKS4hBejNSFNNREk7DGxMQgNzeXnRei0+mg0WigVqvR29sLiUTikI/xd8O2nERFr9cDQFDnqezbtw/79u3j7XpRJyqBjPl1JyoWiwUtLS2Ym5vD5s2bkZyczPdtL4IvU0maptHX14e+vj6Ul5djxYoVi14P7pJiT30q/C5qRqMRDQ0NoGka5eXlmJ+fx/j4ODo7OxETE4PU1FSkpKSwpoHLnUgKf/mCvSlmfn4+SJLE3NwcNBoNa4oZGxvLnmSSk5PdGrA6s5xERadbCF0HU1T4JqpEJVCrFVeiotVq0djYiMTERNTW1oasmoWPk4rFYkFzczN0Oh1qamqQlJTk8nHcr5Gnkwp/CztzmsrIyEBZWRlIkkRaWhoKCwthtVoXxecJgsDg4CA7ajUaF1c+WAp/t1gsZsUDgMP7bW+KyZxkuEwxl5OoMEn6aPp7o0JUuHpPfMH+dGC/wy8tLXU59ySYBCoqs7OzqK+vZ8XQb+tzT07BPIToaJrGwMAAenp6UF5ejpUrV4KiKAeBl0qlDiaJk5OT6OzsxOzsLAYGBiASidgwWSChk2hjqZ7WnN9vk8nEDikbGxsDSZLsaN2UlBTExcWx38/lZnvPVy4qVES8qHjqPfEF5qRiNpvR1NQEo9HIucMPJv6WFNM0jaGhIXR1dWHVqlUoKCjw6vUgALhcnjzmVAJb1JhKupmZGVRXV0OpVHr1ewqFAmKxGOvXrwdFUQ6hk/b2dna+OzNPJNKtRQIhmhYUf1EoFA6mmMz8do1Gw5piMqcYs9m8rEQlmkJfQISLivOY30A/SGKxGHq9Hp9//jlSU1OxadMmr+O4fOPPScW+1Lmqqso3O2w3qkJ4CH8FslPW6/Wor6+HTCbDtm3bfD5d2LvRKpVKKJVKFBUVsfPdNRoNOjo6WGsRJh9jv6uNdpbqSYUL5/nt9puK8fFxzM7OQiwWo7Ozkw2pLdUhZUw3fTR9niNSVOzDXXzNPaEoCjMzM5idncWaNWuQm5sb1jfKV1FhOvvlcrlfpc4ECNCuVYUTfxe1qakpNDU1YcWKFX75pHG9N/bz3e2tRZhdrX0/Rbi6vvkiWhP1fGK/qQAWjBD1ej0IgnAwxbTPxyyVk2uwuumDScSJSjDmnjD9GwaDAampqVixYgUftxoQvlR/MUaW+fn5KCkp8S+fRACuC7k8nVR8ex6aptHT04OBgQG2+dJfvBE0Z2sRiqIwOzsLjUaD4eFhtLW1IT4+nhWYaFxwlruouCIuLg4lJSUAvjLF1Gg0DqaYzHsezUUeOp0uKA7FwSSiRIXvMb/Awo65ubkZmZmZyMjIgFar5eFOA8ebkwpJkujo6MDExAQ2btzIJjX9YeG1dHVS4S/8ZbVa0dTUBL1ej61btwbUsOXve28/ere4uBgWi2XRgmPfGxPpoYXlGP7yBEVRDhsDZ1NMg8HAvucDAwMgCMKhPyaahpQFc0BXsIgIUQmk98QdFEWhs7MTIyMjWLNmDXJycjAyMhIxkww9iQpjBkkQBGprawP+Ivj7cnq7pM3Pz6Ourg7x8fHYtm0bLzFuPhZUmUyGzMxMZGZmOkxF1Gg06OvrYxvyIjVUJoS/FkNRlNvPFzOkLC4ujj25zs/PQ6vVYnJyEl1dXZDL5Q6TMCPtPbdHEBU/CEa4i1mQAaC2tpatnuCr4ZAPuMwtmXxETk4OysvLeal0Ebl9TQM/qTDhucLCQhQXF3v9/jH29q4eHwzre/sFh0kAM70SQ0NDaGtrY2PzTKgsEqqMBFFxxJc+FfshZQUFBSBJkh1SNjg4iNbWVjY8mpycHHGVhEJOxUeY0wlfyXgAGB8fR2trK3Jzc1FWVubw4Qu2M7AvuDqpuDKD5O353L22AbzkzGlwdHTUr/Ac1y48FAupfe8LsNBMypxiWltb2V4J5jHh6BcQwl+LCaT5USwWIzU1lTWJtQ+P2ptiMiITLFNMbwnWLJVgEhZRce494UNQ7PMP69atQ2Zm5qLH+DukKxg4C5w7M0jenk/k30nFHWazeWFWi9Xq91hlT4R6QZXJZA6xeb1e7+BdJZVKHUJloShjFcJfi+Gzo945PGo0GlmRYYaUMRuL5OTkkG8s9Hp9wEMBQ01YRIUgCHZBDaSZkUGn06GhoQESiYQz/xBJomJ/UuEyg+Tt+Xj8IszMzKC+vh4pKSlBu99wL6T2vRJ5eXkgSZKtKmPCJqEKlYX7tYg0gmXTYl9J6GyKqVKp0NPTA6lU6pCPCbazg5BT8QE+4pY0TbMd1nl5eSgpKeH8sEWaqJAkid7eXk4zSL5wf1LxjNVqhVQqZQeXdXZ2oqSkBPn5+UFd8CIp9OM8S8RsNrOhspaWFtbmnXkMX2N3I+k1iBRC5f3lyhRzdnYWWq2WLVdnnB2YfAzfGywhpxJCbDYb2traMD097XU8P5JEhemn0Ov1IbGKCURUjGYrRCIR2traoFKpfO/m94NIn1Evl8sdbEWcd7TM2F1mwQkkVCacVBwJl/eX/caiuLiYdXbQarXo7u6GyWRCYmIiu7lITEwM+D4Fm5YQMTc3h4aGBigUCtTW1no95pfJY4Q7Tj0zM4Pe3l7QNB2YGaQPBCIqM3NzaGnqY8ub+Rir7On1j6aF1NWOlqkq6+/vXxQq82WxiWRhDReR4lJs7+wAgM3HaLVaNDc3g6Ioh3yMPz1RQvjLB/xZNOzNFH0tXwW+8g4jSTIsnl/295+ZmYn5+fmQeRa5ExVvXr8jR45i3epSrF69mtcvszfPHe4NgD84VxjZh8qYxcY+4c/VgxSNf3+wiRRRcSYmJgYxMTHIyclxKPRg7P0lEolDPsbT5ozpqxJEJUhYrVbW7dbf8AuTxwlHWbGzGSQztChUSMQcX0KRGKDchwVzV+ZhzZo1Qbgr99jbnEf7ouoqVKZWq9lmPIVC4RAqc97wRPvfzzcURUX8a+Jc6MGEu7VaLTukLCYmhhUZpVLpcoOp0+mCKioTExO4//778dZbb2F4eBgxMTEoLCzEWWedhQceeMCva0aFqMzMzKCxsRHx8fHYvn273x2w9ieVUOLKDFKtVodU3MRcOzsPoqJUBn8SpjORvmj4i32orKCgADabbdGwqsTERFZkIqWvKpJwtmmJBuztg4qKimCz2dhQWV9fHwwGAxISEliRSUpKAkEQQc2pHD16FBdeeCFmZmZQUVGBiy++GPPz82hra8MjjzwSfaLibeiDGe7ky+wQrucMdbLenRkk3zPqPSEVc7xuIgkAi9sfmyxW/m/IS5Z6TkEikSAtLQ1paWkAFvqVmJDJ8PAwa0kyOjoadb5VwSIaTiqekEgkDkPKmBCpVqtFa2srHnjgAej1eiQnJ2N4eBgbN27kNeQ3NjaGCy+8EGazGQcOHFg0o/6LL77w+9oRe1KxWCysOaEvw508ESpR8WQGGWpRkXB8IEUiMbjuxBwGUYn2RcNfFAoFcnJy2Lg8M/2SCZXFxMQ4DCcL1zygcBKpOZVAcA6R3n333XjzzTfxxBNP4JprroFCocCZZ56Jm266CWeddVbAz/ezn/0MMzMzePTRRxcJCgDU1NT4fe2I/ERqNBo0NjZCqVTyXh0VClHxxgwy1D5kHnMqHJgt7k8xwWapn1S4IAgCcrkcCQkJqKiocAiV9fT0wGg0Oli8JyQkLHkxZmYtLTVRsYcgCGzcuBErVqzAAw88ALVajY6ODnzwwQcwmUwBX1+r1eKll15CUlISbrjhBh7u2JGICn/RNI3e3l709/ejrKwMK1eu5P1LEmxR8dYMMqLCXx7i08JJJbwwr4VzqMx+OBljKWJfVcZH6XekYT8NdKmj0+lAEASSkpJQW1uL2tpaXq77+eefw2w24+yzz4ZUKsUrr7yCzz77DFarFeXl5bjiiitc2lx5S8ScVEwmE5qammA2m7FlyxYkJiYG5XmCdULw1QxSJBKBpumQVTdJOU4qBBG5orKcTyoA998fExOD3Nxc5ObmshbvzMjdzs5Oh1BZcnJy1CW3XcHXaPFogCkn5nt9aG1tBQBkZmZix44dOHr0qMPP77zzTjzzzDO4/PLL/bp+RIiKSqVCc3Mz0tLSUFlZGdQ4cTCciv0xg7Qvbw7Fl51LVDyFvyxW1xb9oUAQFe82HfYW74WFhWx1kUajQVdXl4P7bmpqatROQ1xuJ5VgGFgygwqfffZZyOVyPPXUU7j44ouh0+nw6KOP4pFHHsE111yDsrIyrF+/3ufrh1VU7Hf3FRUVyM3NDfpz8h3+8tcMkvlShExUJO6fg/DwBTWFIacSjQtesPDntXCuLrIfTjY4OOhg+5+SkhJ0Y0S+WE4nlWCVEzPrn81mw2OPPYbrr78eAJCWloaHH34YQ0NDeOWVV/DAAw/g3//+t8/XD5uo2Gw2HD9+HBRFBcXq3R18iQpN0+jr6/PbDNJeVEJBQCcVoaQ4bPD19zPuu8w0xLm5OWg0GrYRLzY21qGqLFJDZUw58XLYdDCzVPj+W5kx3yKRCN/61rcW/fz666/HK6+8go8++siv64dNVCQSCRsPDuUHmA9RsVgsaG5uhk6n89sMkvmghCxZT7kPYXnKqVjcTKgMFC7TyOWwaHgL36+FSCSCUqmEUqlEUVERa4zIDKqyWCwOVWWRFCpb6pVf9hgMhqCcVAoKCgAAWVlZLk+ozM+npqb8un5Yq7/y8/NDvhMNVFRmZmbQ0NCAxMTEgMqdCYIISVkxY1c/p9W4f5CHL6mQqA8foSjksDdGZAZVMaGygYEBiMViB1v/cIbKlpOoBGvq46ZNmwAs5FZcfb7UajUA+B09iohEfSjxdyG3N4Pko7ufuZdgnlRIkkRrayump6eRnZkOjI64fqCHk4o1SCcVbxBEJbTeZ/aDqphQGTOcbGRkBO3t7exMd8ZOJJSRhqXQTe8twXIoXrduHQoLC9Hf34/jx49j69atDj9nwl6VlZV+XT+skh+OD4c/JxWbzYbGxkb09fWhqqoKhYWFvNx7MCrRGAwGA44fPw6DwYDa2lokxLvf8RAecyrhEZXlsnh4IpyvA+NZVVxcjOrqauzYsQP5+fmwWq1ob2/Hp59+ioaGBgwNDUGn0wV9E7CcTirBtL3/6U9/CgD4/ve/j+npafbfT548iYcffhgAcPPNN/t17WV3UvF1IXdlBskX9mOV+WR6ehqNjY3Izs5mGzBlEq4+Fe4vaTByKlarFb29vYiJiUFqaqrL1zXSB3WFgkj7+6VSqcNMd/uqsr6+PkgkEoeqMn/NX92x3EQlWGaSN954Iz788EO8/PLLKCsrQ21tLXQ6HY4cOQKLxYIbb7wRl112mV/XXpai4u1JhTGDLCgowKpVq4LS3c+nqNA0jf7+fvT29mL16tVYsWIF+zMFh6h4yqlYrfzmVHQ6Herq6iCTyaDVatHR0cGGVFJTUx3mvUfaohpqItn6nyAIxMXFIS4uDitXrnQIlTHjdu2Hk9m/r/6y3EQlWBNhRSIRXnzxRezcuRNPPvkkDh06BIIgsHnzZtx888345je/6fe1BVFxgSczSL7gM6dis9nQ3NyM2dlZlxVpcilHiCuEzY+MjU1eXh7y8/MBLNy7RqOBWq1Ga2srSJJEcnIyaJqG2WyOunGqfBOpouKMvb17cXExLBYLe4ppbW2FzWZzSPj709i3nETFYDAEtXdPJBLh1ltvxa233srrdcMqKpGYU/HGDJIv+BIVnU6H+vp6dryyq5ADl6h4Cn/xkai37+tZu3YtsrKyYLVaQdP0opAKM8SKCeMxIbJI76EIBtF8UpPJZMjKykJWVpbDJES1Wo3e3l5IpVKHUJk3lZTLSVSicT49IJxUHPDWDJIv+BCVyclJdudfWlrqVqi5TyqeRCWwsmdm6uXMzAzr68bVn8IMsRoaGsL69ethtVpZp1ar1crudlNTUxETExM1O3l/iOTwly84T0IkSZINlQ0ODqK1tdWrUJkgKpEL894sO1FxVVLsqxlkMO/FW2iaRldXF4aGhrBu3TpkZWVxPl7BYdOCIJ5UDAYD6uvrIZFIXJ6iuBZNZqiaUqlEeno6mxhmTjE9PT2Qy+XsKcbVKF6ByEQsFrMCAiwMqWIaMO1DoMxjmM3DchOVaJpPLxKJMDQ0JIS//DGD5At/TyoWiwWNjY0wmUxe37NC5v6t9hz+8k/4NBoN6uvrHarQfMX+RGOfGGZ2u8xC1NPTA5PJBKVSyZ5igmFxEWqWyknFE3K53GWoTKVSoaenBzKZbNmNV442UQGAd999d/mdVOwrrvw1gwzGvXjL7Ows6uvrkZSUhG3btnl9zwqu8JcHUbH5eFJhuvg7OztRXl6OlStX+vT77G15WEzFYrHDfBGmvFWtVqO/v5+N2aempiI5OZnXYW+hZDmIij2uQmXMcDKVSgWr1YoTJ06wp5jExMQld3phTuXRJiqffPLJ8hQVm82G3t5ev80g+cLXk8ro6Cja2tpQVFSEoqIin+5ZIQtNToWiKLS1tWFqagqbN29GcnKy17/rCl8S1c6d4MxC1N/fj9bWViQmJrIiEy1TEqM5Uc8XYrEYqampSE1NhVgshtFoREpKCjQaDZqbm0FR1KKqsqWATqeLOlFpa2tbfuEviqJAURRGRkb8NoPkC29FhaIodHR0YHx8HJs2bWJ35r4QI+V4qz2eVLwTFbPZjPr6etZ5OtDKuUA+H/bW7qtWrYLJZGJPMUNDQ+zPmXwM3016fLFcwl/eQlEUpFKpwzx3nU4HjUaDqakpdHd3L5k8WzSGv7Ra7fI6qczMzKC+vh4AsGXLlrCPW/VGVEwmExoaGtiF2t9dWAxnSTH3omX1opiACcslJydj7dq1vJX98rVTVygUyMnJQU5ODmv9rlarHZr0mN1wQkJCRIVTBFH5CudEvX21YH5+vkOerbe3F0ajkT2hpqSkRNx7645oDX/FxsYuD1GxN4MsKipCd3d3RHywPFV/aTQaNDY2IjU1FWvWrAlooY7hSNQHelJhnAf4MtpkbytINi321u9Mk55arYZGo0FTUxNommYXIXcWMqFCCH854mmonXOejTmhMl3+ABZVlUUiRqMRFEVFnaiUlpYu/fAX0yOh1WpRVVWF5ORkdHd3B91y3htEIpHLJLi9CJaVlWHlypUBv1bcosJ9bXevFVPWPDw8HBTngVDt0GUymUM4ZX5+Hmq1GmNjY+js7ERsbCx7iuHDasRXhJPKV/haUmx/QmXeW41Gg8nJSXR1dUGhULACE0mhMr1eD8B/+/lwcfbZZy/tk4o7M8hQzDHxBlfhL8auXq1W85LoZoiRB1D95eK1slqtaGxshNFoxLZt23xu0vJ2el+od+oEQSAxMRGJiYkoLCyE1Wp1aSFj33wZTISciiOB9KnYv7cFBQWw2WxsMYd9qIzJx4SzmEOn00EsFoc9RO8r11xzzdIVFS4zyGBazvuC830wjYJisRjbtm3j9QMVy5Go9/TFsZGOrxVjCBkXF4etW7cGrVQ3ElyKXVnI2CeFY2JiWIEJhoVMuP/+SIPP5keJROIQKrMfTjY0NAQADjYyoVzgDQYDYmNjIyJM7wtJSUlLL/zljRkkX3PqA8X+pKJSqdDU1BRQoyAXYq4Z9R5OKvavlb0hZElJSVB3cpG2Q3dOCttsNmi1WgcLGaVSye50/TFMdEY4qTgSzI76mJgYdsQ5TdOYm5uDRqPB+Pg4Ojs72Q0E40EXzFBZNJYTMyypk4q3ZpCRJCokSbI9MxUVFQG7ktI0jZ88fRA24zxu2FWLNYU5nn/Ji5OKsyFkqKxsInmnLpFIkJ6e7mAhY2+YKJPJlkRpayQRKpsWgiCQlJSEpKQkFBYWshsIjUaD7u5umEwmJCUlOVSV8Sn+0eb7ZU/YP+V8hTh8MYOMFFFhdkMGg4E1WgwErc6Ei+99BcNTC/PoD9S9DDmsWJObhEtOW+f2C0nAc6K+sbHRwRAyFETTDt15tgjTBc4IjNFoRFJSEpvw99ZCRjipOBIu7y/7DQSwsIFlRGZwcNChLyolJSXgikFGVKLxvQ+7qASKP2aQkSAqOp0Ovb29oGka27ZtC7j57kTvBK55+HWYzGb23wiCgAUy1I8ZUf/SF6BJKyw6DRQr1zr+socPrtFohNlsdmur7y+RmKjnC/sucGDhNWTKlgcGBhx+7slCJhoXlmBB03RE5BkY94bc3FxQFMVWDI6OjqKjowOxsbEOoTJfc23CSSVM+GsGGe7qr4mJCTQ3NyMtLQ16vT7ghfqJ9xvx+5c+Bc1RfEBTJCyTvbDptT6LCg2gurqa9y+zJ8FYSotpTEwMVqxY4bOFTLSKarCIRJdikUjEhsqKiopgtVrZU0xnZyfMZjNrdJqSkoL4+HiPn+1o7Ka32Wwwm83hFxV/w1+BmEGG66TCnKqGh4exfv16iEQidHR0+H09mqZx0+Pv4f2TXdzPazXBPNIGyjQPiF3siD18wEVicVi+yJFQ/RUMuCxkhoeHQRAEKzAkSS4pcQ2USBQVZ6RSKTIyMpCRkQGaph2qyphTqn0DpqtQmU6nC8lJRaPRoLy8HCqVCmVlZQGtRy+//DKuvvrq8IuKr9gnjP01gwxHSbG9Xf3WrVsRHx8PtVrt930450/cQRpmYRppBchTc+ZdLtLcrx9Fhq/8eimKijNcFjJMmFSn0yE1NXVJOvL6QjSIij0EQSwyOmXe35GREbS3tyM+Pt5hOJlYLA6ZRcvtt9+O6elpXq41Pz8PIMrCXxaLBc3NzdDpdAGZQYb6pOLOrt5fcXOVP3GFVTsGy0QPFgJYDIsXaU+iTIapp2c57tCdLWSOHz+O5ORkmEwmNDc3g6ZpJCcns1Vl0dYcFyjRJirOOL+/THOtRqNBe3s7urq68NxzzyErKwtxcXFBLdT48MMP8a9//Qs33XQTnnjiiYCvx7gAhF1UvH3BZmZm0NDQgMTERNTW1gbUcBdKUWF2I8XFxSgsLHT4e/0d0vW/z3wGMy0GRBKAcj3rxDzeBdvM+OIfuDyoeDipUOE7LSyHkwoXIpEIycnJbNkykxBmeicYCxkmIRzNC643UBS1pDYbzs21ubm5mJiYwH//+190dnYiNzcX55xzDs4991xcddVVvP3tRqMRN998MyoqKnDHHXfwIioGgwFABIiKJ+x9sPgyLBSLxbBarTzdoWsoikJ7ezsmJibc2tX7Kyo2iCBSxAGIA02RoG0W0DYLYFv4m2yqXteCAsCNqnA+H0WH76Sy3EXFefKls4UM03zZ1tYWcguZcBDtJxUuCIJAQUEB7rzzTvT29mLfvn0466yzcPDgQbz++uu4+uqreXuuu+66C729vfjoo494c8S4+uqrsWnTpsgWFWczSGaedaCIxWKYTCZeruUKk8mE+vp60DTN2YTpr6iIxV+JACESg5DFALIY0DQN80gLLNPDHL/t+yIdrpPKUtqR+gtX+MM5IazX66FWq0NmIRNqaJqOmJLiYGMwGJCYmIidO3di586dvF67qakJDz/8MK677jqcfvrpGBgY4OW6BQUFKCgoiFxRcWcGyQfBLCnWaDRoaGhAeno6KioqOL/IIpEINE37vPuSuHnsgkmjh4XDn/BXkE4LS7lPhU+8eZ3sR/DaW8gwZa0Wi4Uta01NTeXFQibUMBuw5SAqwSoppigKN954I5RKJR544AHerw9EQPjL1QebywySD4JR/UXTNAYHB9Hd3e21XT3z5fBZVMQc1xV52o36Hv7i6n8JJtG26AUDf0WVy0Kmr68PMpmMFZhosZARRCVwHn30UXzxxRd45pln2MZcvomoT5I3ZpB8wHei3mazobW1FRqNBtXV1VAqlV7fBwCfBU7KZQ7pUVRc4GHtDtZJxRNCTmWBQMXVFwsZb5vzwgHzWVgOohKMkuLh4WH88pe/xBlnnIFvf/vbvF7bnogRFW/NIPmAT1Fh7OolEonPYTr7k4ovcIkK4dcXzsNJRQh/hY1g/P2uLGSYUwzTnMecYlJSUoI22sBXmO9sJAoenzD5Mb5F5dZbb4XFYsHjjz/O63WdCbuoEAThkxkkH/AlKiqVCo2NjcjNzUVZWZnP980MqvJVVCScNvb8J2PDtbAv9cXDG0JhKGlv+U5RFGZnZ6FWqzE4OIi2tjYkJCSwIhTOwVVMkn45fC6CISpvvvkmlEolbrnlFod/Z4qWhoaG2KKAN9980+/nD7uoTE1NobGxMaR26oGKCk3T6O3tRX9/P9asWYOcHC/s5d3gTwWYjDP8xb8gh/OwsNxPKkBoxZXpi2EmjprNZtYI095ChjnJ8Gkw6omlXE7sTLByKjMzM/j4449d/sxoNLI/czXm3FvCLippaWnYvn07YmNjQ/acgYiK1WpFU1MTdDodLzbw/lSiSSUc4S8PA7cA33e/wVjYSZJEe3s7jEYj0tLSkJqauqg7fDnsSD0Rbut7uVzuYCHDNF8yTb0JCQmswATbQma5iApFUTAYDLx7f7n7Hg8MDKCwsDBg7y+GsIuKWCwOqaAA/pcUz8/Po76+HrGxsQF39dvfi+8nFY4QlxeJepokQfhQ7cO3pJjNZtTV1YGmaaSmpmJiYgJdXV2Ii4tjwyyJiYlCoh6RdVJzduO1WCxsLiYUFjJLrZveHQaDATRNIyEhIdy34hdhF5VwwJQU+7ILHB8fR0tLC+9lzv6Iilzq/2hgAKesXXwQFR4Xtrm5OdTV1SE5ORnl5eWw2Wxsd7jzAsVUx1kslpCGWSKNSF1IZTIZsrKykJWV5dZCxr75MtBTBkVRUd/A6Q2Mh1a0Wd8zLFtRYbpzPX1hKYpCV1cXRkZGsGHDBmRkZPB+Lz6fVCTuv1heVX85+YUtvAYE+D+TOMLkz4qKilghoWkaFosFIpEI6enprAfS/Pw82tvbMTs7i88//zxiksWhJpJOKlxwWci0t7fDarU6nGL8iU4sp5OKVCrlteE7lIRdVMLxIWF2OyRJcu6ezGYzGhsbYbFYsG3btqDMN/Ar/MUhKt6cVCiKxKJHicRuzSkDhaZp9Pf3o7e3F+vWrUNmZiYbfrQXeCY5yPRVxMfHIy4uDjk5OVCr1Q7zRhiBiaSS12ARjQupOwsZlUqF7u5uKBQK9v1LTk726gSyXHIqOp0upI4HBQUFvG5ewi4q4cBeVNwtSIwrslKpRGVlZdA6jv0RFQVn+MuLDyLpQjw4HI8DgaIotLa2Ynp6GjU1NUhISABJkmwog3ldKYpy+I/NZoPFYoFCoYBIJEJmZiays7PZeRTT09MYGBhAW1sbEhMT2WR/tM71dke4E/V84MpChmm+7OrqgsViYZsvuSxklpOoROsoYSBCRCXUCVmCIDiT9cPDw+jo6ODNFZkLv3IqHALnTfUXqMV/NyEWg+bQFKvV6vOJwGKxoL6+HiRJYuvWrZDJZOxr7txvIBKJ2AXDarWiq6sLBoMBxcXFi04xCQkJSExMZKcmMqeY/v5+SKVSh9nv0WA/wkW0hL98QSKRIC0tDWlpaexkRKZsua+vz+17uFxEJRpHCdsT3d+4AHBVVkxRFNra2jA5OYnKysqgeePY408lmkIWWKLelZcXIZJwZlSMZt9EZX5+HnV1dUhKSsLatWsBeOfdZLFY0NDQAADYsmUL5HI5KIoCSZKs+ab96yWRSJCdnc027jE74J6eHphMJiiVSvYUE+oqQ76I9pMKF/aTEe0tZDQajYOFTEpKCmw225J+LRgMBkNUGn4yLFtRcV7MjUYju5gF2ybG+T58PamIuOabePNBpF2ImIcdoMlsRmK8d4sy45BQUFCAoqIiNqTlqRtap9OxEzLXrFnDhintTzFM1R4TQmP+wzwuKSkJSqUSJSUlMBgM7Cmmt7cXcrmc3QFHixX8UjypcGFvIVNSUuJgIaNWq0EQBNra2pZ0Pk2n0wknlUAJRz+CfdWVWq1GY2MjMjIysHr16pAuNr6KytTUFKbGR93+3KvmR1e5Ew/9LWaL56FmNE1jYGAAPT09WLt2LbKystgThidBmZ6eRnNzM/Ly8lBUVOT2sYy42JtxMgLDnGSAhc+UXC5Hbm4uuwNmqpE6OjpgtVrZcldXjZeRwlLIqQSCvYVMf38/ZmZmIJPJFlnIpKSksL1N0Y5erxdyKtGIWCyGzWZDf38/enp6UF5ejpUrV4b8PrwVFfsKqpU5WUBHr+sHemPS6CLcRngQFZPZwvlzJnSoUqkWJeQ9Ccrw8DC6urpQUVHhs1UP1ynG/iQqEolYe5HS0lK2GmlychJdXV3sWN7U1FQkJSVFVOx+KSyUfKFQKLBq1SoA3BYyKSkpUVuSK5xUohSRSIT+/n4YjUaf7Or5xps+FZIk0dzcjJmZGdTU1GCmYxqA/6LiKvzlabgXl6j4kpC3h+kBmpiYQFVVVcDvgadTjH2yPyYmBitXrkR+fr5DT0VraytIknQ4xYRzcVpu4S8unBP17ixkRkdH0d7ejvj4eAeHhkjaKHARDIuWUBIRohLqnZher4dOpwvKVElf8XRSMRqNqK+vh1gsxrZt2yCXyxEjm3F/QW9eS1fP5+mk4ib8pdPpUFdXh4SEBKxdu9bBdZnrS2y1WtHc3AyTyYQtW7YEJYflfIqx/4/zKSYtLY3tqWAWp7GxMXR2di5anEL1eWUERTipLMBV/eXOQkaj0aC5uRkURTkYYUZquBOI7vAXTdORISqhhEkiy2Qy5OXlhf2IzFX9xYwmzszMxOrVq9kvVIyUo6TY08QtAHCV6Pewi3OVU2Gs//Py8rBq1So29OQp3MUIpUKhQE1NTUjKfl2FyRiBcdd4WVhY6OBv1djYyIZYGJEJRaJYEJUFKIry+rPibCGj0+mgVqtZnzm+LWT4RK/XB21AYbChKGr5iApN0+jp6cHAwADWrl2LyclJ3kcK+4NIJILVunjBHhoaQmdnJ8rKypCXl+fws1g5V0e9FzkVV30qHhP1X4W/aJrG0NAQurq6sGbNGmRnZ3udP2GaSrOyslBaWhqWL7OrMBnXKSYjIwNZWVlsiGV6ehpDQ0Nob29HYmIiKzB8T0wUQl+O+GvTwvQ2JSQkoKCgICgWMnyi1+tRVFQU1nvwl4g5qQR7J8bY1ev1emzduhUJCQmYnp7mdaSwvzifVCiKQnt7OyYnJ1FVVYWUlJRFvxMr59odexP+clVS7F31l/39VVdXIzEx0WtBGR8fR1tbG0pLS8NSFOEOd8l+V/Yx8fHxSEhIQHFxMZsoZgZaMeWwaWlpvDZeCieVBfhqfnRlIaPRaAKykOETpk8lGiEIIjJEJZgwdvVxcXHYtm0bG67wx8gxGNjnVMxmMxoaGmCz2bBt2za3eYZYGcfb5tVJxUXzo4dSZLPFyjYmWq1WbN26FQqFwquEPDPUbHh4GBs2bEBaWprHewwX7pL9rhovxWIxsrKy2ESx89x3pVLp0XqECyGn4kgwOurtLWTy8vIWWciYzeaA30dfiebqryUvKmNjY2htbUVhYSGKi4sdPgx8zqkPBEZUGEt4pVKJzZs3c+6O4uVcb1twcipzOh2OHTuG+Ph4bNq0CQRBOMwMd/dFI0kSra2tmJ2dRXV1ddR9WfxtvGSsR9RqNfr6+iCTyRysR7zZ/QrhL0dCYdPirYUMk/QPRj5Qr9dH7SwVkUgUGaLCt/JTFIXOzk6Mjo66tasXi8WwWLh7L0KBWCyG0WjE8ePHUVxcjMLCQo+vRxxX+MsbTXEhKp5Kijs6OrH1kvNRUlLidUKeOXkRBIEtW7ZE/UwUXxovZTIZcnJysGLFCofGS8ZAkYnhp6ameqx8E04qC4Ta+4vLQqavrw+tra2shQyfObVoDn8tyUQ9s5BZrVZOu/pIOKnQNI3JyUno9Xps2rTJ61ktcYGeVFzmVLi/rClp6SgtLfU6fzI/P4+GhgYkJyeH3KUgVPjbeMnYxzAx/JiYGAf7GOaawknFkXAbSnJZyDA5NfuyZX8qA5kcT7SeVCImUc8XMzMzqK+vR3JyMqqqqjiPpuEWFaZ4YG5uDnFxcT4N/xKLA/ti+XNSUcTEei0oKpUKzc3NKCgo8OrktRTwpfFSoVBgxYoVbAxfq9VienoabW1tDo2XiYmJ7O8IgLX7iRTsLWQoisLs7Cw0Gg2GhobYkQz276W372M0uxSLxeKlISo0TWN4eBidnZ0oKSlBfn6+xzfQ3zn1fMAYJ8bExKCsrAx9fX2hvQGXORXu18tssXj08GJKjXt7e1FRUYGsrCw+7jYq8aXxMjU1Fenp6Q79FOPj4+jo6AAA9Pf3Iy0tDUlJSctaYMJ9UuFCJBIhOTkZycnJbGUgc4oZGRkBAFZgPFnIGAyGqBUVYAl01JMkyXpO+WJXL5FIwiIqTMPgypUrUVpaCrVa7VcVWkDDf109n4eTisVq5UzIUxSFjo4OqFQqVFVVISkpyd+7W3L40ngZGxuLuLg4FBQUQKfT4YsvvoDZbEZzczNomnaYeBntOSpfiWRRcUYulyM7OxvZ2dmgaRpzc3MuLWRSUlIcvOZIkgyKTYvBYMDBgwfxxhtv4Msvv8TAwABIksSqVatw6aWX4vbbb+dNyCJCVPyF6cwmCAK1tbU+WS/4YzkfCPaGkGvWrEFOTk5A90EQgKuQu1cC7eqk4qGk2GYj3V6bCeVZLBbU1NSEbGxANOJLyTLzeldUVAAA/vzqp9D1dOP00hmQ1nbWoTc1NRUJCQlL/hQTTaJiD0EQbi1kWlpaWAuZgYEBttGZ75zK888/jxtvvBEAsGbNGpx//vmYm5vDkSNH8Jvf/AYvvPACPv74Y5/C8O6IWlFRq9VsZ7a9hYm3hDKnQpIkWlpaoNVqUVNT47CL97dfhnCnKsBC0p3jmq4SwISH8JfF5nospMFgQENDA2JiYlBdXR31kxZDjUgkwqzeDNXMHFblpjs0Xs7NzYEgCFgsFtz+3Gd4/2Q3AOBfx0eRIqOwKS8Z56xbgbSYITZJnJaWFrRS13ATraLijDsLmX/+8584dOgQEhIScM8992DXrl3YsWMHLz5lMpkMt9xyC374wx+ipKSE/ffx8XHs2rUL9fX1uO222/D8888H/FwR8cnzZYdlP7Nj9erVWLFihV/PGSpRcWUIaU8gJxW3iCQAxVEu7fKk4in8tVhUtFotGhsbkZ2djdLS0iW/Uw4GA1Oz2Pv7/ZjTGaAgrFi3IhmX7ViHLcXp6O7uRnl5Ob7514No6Plqhg4hEkNrE+NQnw6H+jogpUz40XkVOD0rC/39/WypK3OKiYuLWxLvzVIRFXvsLWT279+Puro67N69G3q9Htdffz3UajVefvll7Nq1K6Dnufbaa3Httdcu+vfs7Gw89thjqK2txYEDB2CxWAIOq0aEqADeDeqy2WxoaWlhLeADiduHQlS0Wi3q6+uRkZGBiooKl18If0VFRLjPqhBiKWibr6LC/WW1OonK2NgY2tvbUVZW5rewL3fq+iZx1cOvw3oqX2WGDCdG9DjxwjGAtCAzTgybbBjqOb3ba9CkFXPD7egfUeLbe8/GqlWrHEpd+/v7IZVK2ZHK4bAd4Qt/vb+iCZFIBKlUiieeeAIA0NbWFvSClw0bNgD4aj6NrzONnIkYUfGEXq9HfX09ZDIZamtrA1bTYIvK8PAwOjo6XBpC2sOIiq8T/kQcj/U0b95NMobz+aw28tSvLhhzjoyMYOPGjV4XRgg48m59P/737++BctUzBABiGSZNAEzuBYWymmEabgJtNkAsItgZ7jKZDNnZ2cjNzWUb9tRqNbq7u13ajkQDTM5pqZ1UnNHpdGySniAIrFmzJujPyVSfSqVSl16DvhIVojI5OYnm5masXLkSJSUlvHywRCJRUD6ojOEiM3jK05tk3+jmi6iIuXIgHswhXfepeDip2Gxsbmh+fh41NTVRO/Mh3PzzUCvu+c/H7nNiADzV91FmA0xDTaBtZgCAXCZj83POJctM9z4AtvFyenoaPT09UCgU7Ckm0izg7WGiGJF6f3zB9KiE8kT25z//GQBw/vnn8zIKJKJFxd6uft26dbweA5lEJp+iYm8IWVtb61UVlH0poS/3wSUqhMjD2+rHScVktuDLL7+EWCxGTU3Nsitn5Yt7XzmOpw+e4HgEcUpP3AsKaZyDabgZIL8KSUqlEvY94Wq8lMvlyM3NxcqVK9nGS8YC3mazOdjHRNIgK28Gvy0FQm3R8vbbb+Opp56CVCrFPffcw8s1I0ZUnHMqFosFTU1NMBgMrF09n9gv5nxUytgbQnrq5rfHvrTUFzhFxVPM3KWocH9ZVSoV4uPj3eaGBDzzvSc/xDtfdLj9OUVRIEQiiONTQdusoK0mwCk3ZtNpYB5pXZQXk9i95/42Xur1+kWDrBgr/3CP410uJ5VQOhS3t7fjmmuuAU3TePDBB9ncSqBEjKjYMzc3h/r6eiQkJDjY1fMJ0xnOR15lfHwcLS0tKCoqQlFRkU9HV+axvosKx5fL40nFVfiL+55JikJMTAx0Ot2y6Ingm3cahvBe6yQgiwUshkU/p2xWmAbroSjaDIIQgZDKAal8YTGlSFBWM2JJHVTDLXAVFpO42Uj40ngZExODlStXIj8/H1arlU32M42X9hMvQ31SXS4nlVCNEh4ZGcH5558PrVaL22+/HT/4wQ94u3bEiQpjV+/PAu0rgSbraZpGd3c3hoaG3Lohe4IgCL8qwCSc4S8/TioevqwyuQJ6vR5DQws9EWlpaUhPT0dKSkrUVhOFEr3ZBkIsgVgsAeQxII3zoC0mADRomwWmwYZTFXuO7ytBEMCp3zMNtsFdnkUi8fwe+NJ4KRKJkJ6ejszMTNA0jfn5ebYjvKOjg+0IT0tLC8kmg6n8WuqbmVBYtExPT+Occ87B0NAQrrvuOjz00EO8Xj9iRIWmabS3t2NsbAwbN24MyYzmQETFeZpkIB8Ev0SFy1TSwyJPu1yYuL+sYrEE69evB0VRrAFiZ2cnzGYzUlJSkJ6ejrS0tIiKw0cSDu8uIYI4NgmIXSiJNw42siXgMpnMbXrepF98wmHwR9h9mRUTFxeH+Ph4FBYWwmKxsLNimNEG9vYxwYgsLIfKL8Cx+isYzM/P44ILLkBHRwcuueQS/OMf/+BdqCNGVFpbW6HVarFt27aQJar8FRW9Xo+6ujrExMTwEp7j+6TiqZHRn0S9zW7CI7OAlJaWQq/XY3p6mjVAjI+PZwXGF2fWpU5+SiziRVbMk5JFrwlTeVdaVIDc1cU4OaB2eQ2Scu1qAAApSYHlHH2ZFSMWi5GZmYns7Gx2wBxj/8648zKnGL4aL5eLqAQz/GU2m7Fnzx6cOHEC5513Hl544YWgRBkiRlRWrVoFsVgc0lCKP6LibAjJxxfGH1GRcpxUPIa/XOyFPZUU22yLXyf7UawFBQXsDlalUmFoaIgNoTAlq8s5TFazKhMHbt2Oow1taFATONanxbiBBsRSADRqqzZg/x9/jisfO+TztfeeewauOP8MXu/Xl1kxiYmJSExMRHFxMUwmE3uKGRwchEQicZh46W9RzHISlUCbD11BkiSuvPJKHD58GDt27MCBAweClheLGFGJjY1lk4ahwpfF3J0hJF/34au4SSQBiIo/JxV3TXp2ME13zA52ZmYGKpWKnfXNeFOlp6cvqzAZTdPo6urCxMQEdp15Gq48NSfFbLXhlU9bMT6Vgju+cTYAgOJqXXHxvt309Ytx9/euCcZts/gyK0YqlbKNl8xnQK1Wo7e3F0aj0e9578uhmx5AUByKAeCvf/0rXn31VQBAWloabr31VpePe+ihh5CWlhbQc0WMqIQDb08qXIaQfMD3ScVT0t01Hqq/SN/uz9W0Q5VKhYmJCXR2diI+Pp4VmKUcJqMoCi0tLZibm0N1dbVDaFculeDqMzc4PZ5TVb76nwSBX97yTXzvyt0837FnfClZViqVSElJQUlJCdt4qVar0dfXB5lM5tB4yXWSpShqWZx0gzWgS6vVsv+bERdX/Pa3vxVEJRC8ERXGEFIkErk0hOQDf0RFxvEF8zTF0dWOV+TBpdgWQJUcQRCIi4tj54RYrVZMT09DpVKhrq4OIpGIFZilFCaz2WxobGyE1Wr1oWGUQ1ROCQ4hEuHPv/gerjj3NH5uNACcBQaAV42XJEmyjZcdHR2wWq0OjZfOjcPL5aQSrD6V3/72t/jtb3/L+3VdETGiEo4PjCdR8cYQkq/78FlUOMJf8GPcsITmDj3G8CimTIjEOUzW3d2N5uZmJCcns7mYaJ3NYjabUV9fD6lUis2bN3udS7iqeiXmtGoMztpAix1FiAYFsUSC5/7wU5y5hZ9GNT5hvh/enmKYcChzklWr1ZiamkJ3dzfbeJmamoqkpKRlk1MxGAxRO5+eIWJEJRxwiYq9IeTKlSuDKnp+hb+4RMWPk4rZ7N7VOCMtDc/+4afe3ppP2IfJysrKoNfroVKpMDk5ic7OTsTFxSE9PT2qwmQGgwF1dXVISkrCmjVrfFoML6ktxyW15aBpGm9+0YmXPu9A4+g8jJAhNiYG+x/8JTaWFQXx7vnDXbKfpulFpxiFQoEVK1YgLy8PNpuNbbxsbW0FSZJsztVsNgclWhAp6PX6qDH5dIcgKk6iwozFHR8f92k8cSD4KiokScKkn3f7c0+VXK5vwvVivX51Kd567LeQSkPzUXEOkzHVZM5hskgdRDU7O4v6+nrk5OSgpKTEbxEkCAIXbSnHRVvKAQDdo9OQi89BXlbgLrLhwNfGy7S0NGRkZLBDrPr7+2E0GnHkyBG28TI1NTVqNhrewFjlCCcVnoiE8JfFYkF9fT1sNltI+2V8qf4ymUyoq6uDmCv27kdJMbBYiPadtxOP/9J1lUgokEql7IQ8iqIwOzvLhsmMRqND02UkhMnUajUaGxtRVFSEgoICXq9dkhtY8jTS8KXxMjY2FkqlEgBQXl7OnmIaGxtBEISDfUwwGi9DSahsWoJJxIhKOBCJRLBarQD8N4Tk6z68OanMzs6irq4OaWlpyM4kgCE3szb8OanYiTpBEPjZd6/GD66+2PfrBAnGwj05Odmh6dI5TJaWloakpKSQb1LGx8fR1taGioqKoPQZLGW8abxkvqdisRgZGRnsKN65uTlMT09jaGgI7e3tSEhIYBsvQ20hzwehsGkJNstaVJiTSiCGkHzgjahMTEygubkZq1atQn5+PuQd7u3TCS9i+DRFOvSzMCEziUSKf9xzOy44rcrLuw8PTJiMMT9kwmT19fUgCMKhmizYG4TBwUH09vYKQ8t4wvkUMz09jZGREZSUlCwKkzGjeIuLi9nJhWq1mvWos7ePicRwqT02mw0mk0kQlWhGJBKxIRV/DSH5gKv6i6Zp9Pb2or+/Hxs2bEB6ejpIkoRMzGXT4llUjv7mIjx5sB7vN41gWEcBp8p+33r8HpQXRtd4YHdhst7eXodqsvT0dF7DZIyh6NjYGKqqqnjvXxJYCCm2tLRg9erVbLWgu5JliUSCrKws5OTksJ8DpiemtbUVSUlJbF+ML42XoUKn0wGAkFPhi1C/wVarFaOjozCZTKitrQ3r7oAgCJeiQpIkmpubMTMzg61btyIuLo79QilkHLFjL0QlNTEOP7t8B352OWC1kjjweTPOq7oMyoTo3iU5h8mYpkumsz82NpYVmEDCZBRFobW1FbOzs6ipqYn6ip1IZHJyEi0tLVi7di0yMzMB+NZ4mZSUhOTkZKxatQpGo3FR46W9fUwk9EYZDAuGocJJhUecB3UFC8YQUiQSsd5V4UQsFrMxYwaTycSGcrZu3QqZTMZ+aUQiEWJkXM2PnhdKs8UKhXyhD0IqFePrOzf6/wdEMLGxscjPz3eYEaJSqdDQ0AAAfoXJbDYbmpqaYLFYUF1dvaRLXMPF+Pg42tvbsX79ereO5b7MipHJZMjJycGKFStAkiRrH9PV1QWLxQKlUsmeYsJV9KHX66FQKCJC4AIhokQlFNgbQiqVSvT09IT7lhblVJiigZSUFFRUVAAAKyjMTIkYrvkZXuRUDCYzKyrLBalUiszMTHZGiLswWVpamtuTB1MhKJFIfGpqFPCe0dFRdHZ2YsOGDV7nqHwtWWa69+3tY5jKwpiYGPYUo1QqQ9Z0ydjeR1pYzleWzTeCpmkMDAygp6eHNYRUq9W8TH4MFPuS4snJSTQ1NaG4uBgFBQVsqSUzqZJBIeN467wIfxlNZiBAu/RohiAIKJVKKJVKdmFhrGPsw2RpaWlQKpUgCIJtakxMTMTatWuXRYd3qBkeHkZ3dzc2btyIlBT/e3ICabxk7GPa29ths9kc7GOCaYQa7FkqoSKiRCVY4S/GEFKj0TgYQvrTyR4MmPvo7e1FX18f1q9fj4yMDDZ/4iwoABAj5wh/eTCHBIB3jjbjO3t2Rv2uiC9iY2ORl5fHLizMzrWxsREAkJiYiJmZGWRnZ6O8vFx43YLA4OAg+vr6UFlZyfal8IGvp5jU1FSkp6ezjZdqtRoTExPo6upCXFycQ+MlnxsLppw42j9bESUqwcDeELK2ttYh/h3oOGE+mZ2dxdzcHLZs2YL4+HhOQQGAGK4Ody8+lL/bfxwPv/IR2v99VyC3vSSRSCQOYbKhoSF0d3dDKpVidHQUBoOBzcUICXp+6Ovrw9DQEKqqqpB4ajRAsPC18dLe4YFpvGxubgZN0w6Nl4HOJ1kKFi3AEhcVT4aQkSAqZrMZg4ODsNls2LFjx6KEvLtdS2yA4S+rZhSmuUm/7nk5MTk5iZ6eHlRUVCAnJwdGoxEqlQrT09Os8SEjMElJSUJIzEeYkvnR0VFUVVWFvJzWl4mXzNA5ZrMxPz/P9tC0t7ezEy9TU1ORkJDg84kjWA7FoWbJigpjCFlaWoq8vDyXbzDTH0LTdFiOnPPz8zh58iQUCgVkMhkkEglsNhubjOe6J5Nu1v2FvfhbyFOCEq6/PRpgmho3bNjAzpiIiYlZFCabnp5mw2RM6GQpWIYEG2Z42eTkJDZv3hwR+QRfJl7Gx8cjMTERRUVF7NRTtVqN4eFhEATh0HjpzWdhKVi0ABEmKnzNsvbWEJLZnZAkGfIqnqmpKdYnKjY2Fj09PWxCnmu3y0ygHBsedH9xH15H+9JigQVomkZPTw+7e3bX1OgcJpudncX09DT6+/vR0tICpVLJJvuXwmLBJzRNo6OjA9PT09i8eXNEhn18mXgpFouRmZnJNmgyjZcDAwNoa2tDUlISKzLuKryCNfUx1ESUqASKr4aQ4RAV+yq0devWITMzE7Ozs7BYLPjss89Yd1ZXw6pIkkRbWxtmZmZQXbke+OwTl8/hizgvx9JiLiiKQltbG7RaLaqrq73+kttXkzHNdkw1GVOmal9NtpzDZDRNs6/x5s2bI8IM1Bv8bbw0mUzsKaa/vx9SqdSh8ZJZe4I19RFY6Hv7/e9/jxdeeAFDQ0NISUnB+eefj7vvvhsrVvDroLFkRIXp7UhKSvLaEJIJMYUqr8J0YU9PT6OmpgaJiYnsrIjTTz/dwYW3ubmZdeFNT08HQRBsw15NTQ10Fq4qOe9FxWSyAIK7CICvmhrNZjNqamoCamqMiYnBypUrsXLlSnY+iEqlQnNzMyiKQlpaGvuf5RQmY74D8/Pz2Lx5c1BLdIOJL42XzFC63Nxch8bLnp4emEwm2Gw2fPHFF1Cr1UEpUjCZTDjrrLNw5MgRZGdnY8+ePRgYGMAzzzyDN998E0ePHkVxcTFvzxdRouJv+IsxW/TVEJJJvoWirJg5RZEkia1bt0Iul7MfPCYhz9iLlJSUsMOqxsbG0N7ezo7kXbNmDeRyOWiCa1KjLycVU4B/2dKAeX/EYjE2b97M60IvkUiQkZHBzgeZm5uDSqXCwMAAWltb2W7u9PT0JRH+cAdFUWhubobBYEBVVdWScSLwt/ESWAh5HTt2DIcOHUJ9fT1bqHDhhRfijDPO4EV077vvPhw5cgTbtm3DwYMH2dPQI488gh/96Ee4/vrr8fHHHwf8PAwEHQpfFC8hSZJdaL2BMfQbGhpiezt85dChQ0E3A5yfn2dPUWvXrnXw+vKUkJ+enkZTUxOSk5MBABqNBgqFAmlpabjoH40uf4emSMx/+apX9/b+U/djXWmhj3/R0sJoNKKurg4JCQkhb2q0D5NptVr2vU1PT19SYTKSJNlTYGVlZcDlt9GCc+Ol/QaW2Uwym9tvfvObSEhIQHx8PN566y1kZWXhiy++COj5rVYrMjIyMDMzg7q6OmzatMnh5xs2bEBTUxNOnDiBqip+nMkj6qTiCzabDY2NjdDr9di6davfschglxUzDXT5+fkoLi5eVAfPxfDwMLq6uhxmdNg35rnH+5OK0Wz2+rFLEUbwMzMzUVZWFvJKOE9hMqaaLJrDZCRJoqGhASRJoqqqKmr/Dn/wdIqx31zOzs5i586duO2220DTNNRqdcDP/9lnn2FmZgbFxcWLBAUALrvsMjQ1NeGNN95YmqLi7ReaMYRUKBTYtm1bQB/SYIkKTdMYHBxEd3c31q5di6ysLI8NjQwURaGrqwsTExOoqqpy6C62rzgC2lxfwId10WRyP5t+qaPRaNDY2IiCggIUFBSEvbTaXZhscHCQtW5ncmzO1u1PvfMFdqzNR+nKzDD+BYux2Wyor68HAFRWVkaMV9pHrcO4//mD2FmxAtdfWIv05ND0x7grWR4eHsbRo0dRUlICAOxMoEBhSt0rKytd/pz5d+ZxfBAZ77APMDv/FStWoLS0NODwQDBEhakgUqlUqK6uRlJSkteCYrVa0dzcDJPJhC1btnBWxhBwPRjYt5OK1fODliCMrfrq1auRnpGJ+/9zGBdvKUdFYU64bw3AwqKSlJSEpKQktoKIabrs7e2FXC5nTzC3PvM5TnQNgz7wBWIIKzbmp+Kqr23ChdvWhlUorVYrm6fauHFjxLjvHmoZxnf/+ubC5u3jHvz9cBeSpCS2lGTi2nOrUbt2VUjug1m7pqamsG/fPnzjG9/AX/7yF16fY2hoCADcVngx/848jg+iRlRcGULyAd+iYrFY0NDQAJvNxibkvRUUxlJGoVCgpqbG466OD680s2X5hb+GhobQ09OD9evXQxGXhLN//TxGpufwj0NtiJfQWJOdgKvOqsSubevCfnphUCgUbJiMJEmo1WpMTk3hkofexIh6YbgTQRAwQYZjg/M49s9P8IOnPkBRqgIPfOd8bCwLbd7MYrGgrq4Ocrkc69evjxxBaR7Cdx97yyG3QYhEmCNFeL9Dg/c73oPUuh/7f/ENrFmVH/T7mZiYwIUXXoja2lo89dRTvL9OzOAvd+0VTGEI8zg+iChRcfcFJkkSra2tUKvVDoaQfMCnqOh0Ojbhu2nTJgf3YU+CMjMzg4aGBmRlZXl9AhMRABVgmYXBtHxEhbEEGRkZQWVlJfSUBBf+6t/QzBtPPYKAzkbg+LAex//5KX78r49RkCjCi7/+NpISIqcqSywWI0GZgisePcQKiitIQoLmE8fw2YbskIqK2WxGXV0dYmNjsW7duogpNnAlKM5QFhNmh1phtgQ/LKxSqXDRRRdh06ZNePrpp4MivMym093aE4w6rYgSFVeYTCZ2oJazISQf2C/8gTA9PY2Ghgbk5eVh1apVPiXkx8fH0dbWhtLSUqxcudLr51z4oAT2oWhqbsHq3BQ2lLJUq3IoikJ7ezs0Gg2qq6vRpzbimodegs7kPvxnMhmhmpuERBIZiyLDvMGCc+76D1TaObePoSgbTL0nQNvM0GoWrNyTk5M9fhbndCYkxvtfxsp8XxMSErBmzZqIEZQPmgZxy/+9zS0oVhNMQ42graagT0BVq9W46KKLUFZWhueeey5ouSamRFmv17v8eTCmTUa0qDCGkOnp6UH7gHLNh/cGxsW2q6sLa9asQXZ2ttfhLmbnPDw87OAv5S0iEQG40ENfQjbZObmIj4/H0NAQ2traWGuRpeTAy5SzmkwmVFdX41ivCrf+35swW92/7zb9DHLFc3jvqd8hLoI6vqdmDTj/rpcwq3O9SAAAKBtEY82gbQunULGYQGtrK0iSRGpqKtt06byB+Paj7+DTpl4kSmzYUpKF6y/YgprV3p9wjEYjTp48ieTkZFRUVERM6PD9xkHc8vjboD0JyuCCoACAMjF4ojIzM4M9e/YgPz8fL774YlCr4fLy8gAAIyMjLn/O/DvzOD6IKFGx/xAyzp9chpB8EEj4i9n9MoZ4SqVyUUOjO5iQ3uzsLKqrq/3aKYi5XhKRBKC86PkhRCguLkZxcTGbDJ6amkJ3dzfi4uJYgUlMTIyYRcIXmBwXQRDYvHkzXv2yH7969gPYOOKGtjkVypQ03nnsvojJBQDAwNQsLrr3FRiM7htWKZsZpv76rwRFJMLXaquxdUMF5ufnoVKp2A1EUlISKzDX//0w6rqGAYLAHCnF+x1qvN/xNiSUBRXZibjktDW4+pwalxs7ncmCr//+JZhnVTi/shDf/8bWiPms+CMoAJAUH5wN1dzcHPbt24eMjAy8/PLLQY8MbNiwAQBQV1fn8ufMv69fv56354woUQF8M4TkA39FxWq1oqGhARaLBdu2bWMT8jRNexQUs9nMLnRbtmzx+4MlEnF8cSUSwOJZVEyWr8I/9slgq9UKtVqNqakp1NXVQSwWswKTkpLi9amxuW8cawuzgrLIkCSFb/35DYyPjWJXdRmu37UNSrvFgGlqjI+Px9q1a/F/7zbiL/89ypmHsmrHsL0oGc//4UcRszAyfOMvB2GwuP+sUhYjTAMNoMmFfABBiPDQz27Fto1rACwMGktMTGQ3ENPT05iYnMR1T3yCYTe5GZtIhqZJE44//CTOrixBdrrj91GrM+Gc374I7ZwegAyPfzaKxz/+K7LixTivshg37KpFTpqSl7/fH361/yQgjwcsRoBcHOp0JSgAgrKZ0Ol0uPTSSxEfH49XX301JBY127dvR1JSEnp7e1FfX7+oV+WVV14BAOzevZu354woUbHZbDhx4gS7UIci/CIWi2H2sQFQr9fj5MmTiI+PR01NjU8J+fn5eTQ0NCA5ORmrV68O6MMr5ljYRSIJvAnqWSyucwpSqRRZWVnIysoCRVHQarVQqVRob2+H1Wplu77dNeXRNI3rH3sXnzT1QURaUJoRi0tOW4trzqmBXBb4cV9vtmDX7w5geHKhQeyxDzvw1/dbkaagcXpFHq45cwNmJ4eRkZGB8vJyfNQ6iiffX7DJIUSuX3OrahB7thTj0Z99N+D7CwazZkAcp4QINESmWZiMJuDU540y62EcaGBPpyKRGE/cczt2n17t8loKhQKZWdn49pNH3AoKg6HvBGizHjEKx3ymas6Ac37zH8zrDY6/IJZiwgj86/N+/PPTHmzJpPHCvT/w++8OBIOVhkgqB6TyhaQ0aQNlMwMWo1tBCcZewmAw4PLLL4dEIsHrr78eMhNNmUyG733ve7j33nvxve99DwcPHmQrvh555BE0NTXhtNNOQ3W168+JP0SUqDD20bm5uSFrkvL1pKJWq9HQ0IAVK1agpKTEp4Q80yldUFCAwsLCgHfCEq6Tisi7189s9dynwoxYTU1NRVlZGRtGYbyrkpOT2VNMTEwMzFYb9v7hNXQNL8xsocQydKhtuO/1Btx34ARyEhZ2sXd8/Uwo/Ci8mJo14MJ7XoZ2znExJERiqC3Aqw1j2H9yEJWJBrzyyJ0gCALbSjPxw12VeO2LHnRPzsJoNIGmKYhOCYx1sgc37dqKX970dZ/vJ1TQp4oyKBCgFEpIFABts4IyzcM4UA9QC59jsUSC5x+4E2dUr3N7LaPFhvPuegmjKq3bx1AUBYy3gjYv5G9sFgs7f2dcq8N5v/0P9ByhOJqiYB5tx8dDVqy+8Y9Yk5uEq8/chH2nL+7sDhak3bGUIAhAIoVYIgWhiIOl5/giQVl4HL+5W6PRiG984xuwWq149913Qz6I65e//CU++OADHDlyBCUlJdixYwcGBwdx/PhxpKam4plnnuH1+SJKVAiCQEFBQVDK3Nzhi6Hk0NAQOjs7sXr1auTm5rKC4k1CfmhoCL29vaioqEBWVhYv9y7mEhUvT0DuTiruIAjCIYzCTEJUqVTo6uoCKZbjF2/2QjvvJpEslmBUT+NvL7+L8zYVoXpdmU/P3zWmxSV/2A8jRyk0ZTHB2H8Sqryvwm4KmRTfPmcTvn3OJtA0jUON/fj3xy1oHFRjdmoUv/7WBbjhknN9updQ46qEnJBIIYpLZgVFKpXh1Ud/i81r3DfweVc9RsE82ADKNA8A2LS6BPV1CwPlbNJ4fO//nYDJ7L7slqZImEfaQOo1EMUmwULIcHJwBs0PPo59pz/hw18dGJSbtYQGAYvV9f1LJfyFvsxmM6655hrMzc3h4MGDQR+V7AqFQoHDhw/j97//PZ5//nm89tprSE5Oxre+9S3cc889PlWcekNEiQrAT0OfL4jFYo8mlvZ5HiYh74vlSkdHB1QqFe/GlRKOkxHh9UnFewNPV9hPQmwfnsblD77GueDTFAnzaDtInRo20rfn/rxjFNf/5U3O94s0zcM00ADQlNvPEUEQOGtjEc7aWARgwVUgRh75flQXVaTiUNsYZmxSEPbv/am/U6FQ4J2/34vVRe4XCYuVxFl3vQQ1p6CQMA3UsyeU807fin/deztIksTJjkHc9H8fwMJxwqUpEqbhFlCGmYV/IEQgSCusQ3UguDZCQYBrLaEp1xGKqy7iZ3NhsVhw7bXXYnJyEh988IGD3VKoiYmJwd13342777476M8VcaISajyVFDMJebPZjG3btkGhUPhkudLU1ASLxYKamhre46gSceCiYvUi/OUNn7aP4oZHuRd82mZZWGxO7X6tVu/DjgeOdeMn//yAs4rHptfAPNQCpnfH281JNAgKANz/7bMAANOzOjx5sB7vN41gWEcBhAhxcXH48On7UZDD7dQ9rTNBa5NCnJCKGNKAOd08RHafFYq0wTRQB9qy0BC699wz8Ldf/Q8AoGNsBtf+3wecnxmatME00gLKYDfumgb0vSdAkxacXrvZ3z/fLzibg11UR1677wL8/rZvBfy8VqsV3/nOdzA4OIhDhw4hJSUl4GtGC4KocORUGOPK2NhYbNmyxeGxngTFYDCgoaEBMTExqK6uDkqOSMJVU+wmGe2MxYdRA+544bMO/Oq5w6Bprk5lI0xDTQ4x7LHxcZhMpR6rYP76Tj3++OpRcDV6igwa2EbbOB+zVEhLisfPLt+Bn12+IMz7P2/B135xATJTlR5/12QlT31uCRgl8ZAq40FZTKBMOtA288IJ5dR7dNXF5+KRH9/A/u4d/+8oSGkcACNgXXwapUkbTMPNoIyOp6CFEwuNHdWb8Pz9P/H/D+cZ2umkfM3e8/HA7dcFfF2bzYbvfve7aG9vx+HDh3kxhowmIk5UQl3G6U5UNBoN6uvrkZubi9LSUodhO55moGi1WjQ2NiI7OxulpaVB+5uknCcV75KNlgDDX39/vxkPvPwpuBZz0jgH03DLopLOabUGn332GeLj45Geno6MjAzEx8cver0eO9QNIiYBtNngcndp1YzBMtmz6B4iqcckWEilYnxj54ZF/z44NYPe4Ql8rdLRzp+mKRCgQduZjopkCohkClBmAyso37n8Itz7/W+yj5mcnMSs3gTiVKKbVtAARYGymQCzCTRlg2mkbZGgnHpWVK8rw59+dC3MZnPIhnN5zJXahb+uuvhcPPSj6wN+TpIk8b3vfQ91dXX46KOPTrmJLy8iTlRCjStRYRovy8vLsWLFCq8T8gDYSY1lZWW8z352hktUvK3+sgYoKgdbJyBKSAUocqFU0+xYXhojIjE92Ai4OMUUFBTi9O2V7JCqwcFBSKVSVmCYIVUUDYeyUDmsMM9rQdIErKoBWNWLHVYlUil+d1vgi0Q00jGqwWV/2A+j2QIx9Q5KM+KwZ1sFrjm3BsWZSnz6i114+oN6HGwawYiOAsSnwn+n3qP/vfZS/OLGr6rgxsfH0d7eDrFUChgXTigEQQBiMcTiONCyGBgHGkAZXFeS5Wam4c93XIeBwSG0t7cjISGBrRZ0tYngC4PZtkhA7aFPfe+/sfschxOZv1AUhdtuuw2ff/45Dh8+zJvpbbQhiIqdqNA0jY6ODoyNjaGyshIpKSk+Wa709PRgZGQEGzduDHrTJgBIOTyp3PViOGMNMPwlFp86tYklEIsloGWxC0lymwWkfgbqjiNsItnVc8tkMuTk5CAnJwckSbqc5e7wdxEELJCBSMwEYZx3KSgxMTF4+2+/40xYL1Xq+6dw5UOvsXkPUiRD+7QV7W804g+vnURWvAi7Nhfj59+8kA2fvfx5Kw4c60b3GIn/ufFq/PDaPez1RkdH0dnZudCZ/dkRl89JECIQ7g6qBIH7bv8ORs1yfPf/NYCwmrA6Kw5nrs5GWUYsZDIZ29WfkpLC6+kyPkaGI7/ejWc+aMB7jcMYmrOBFts1GlM2XH7hWfjTT28M+LkoisKPf/xjfPjhhzh8+DCvtifRxrIXFaakmJkkaTAYsHXrVsTExHgtKCRJoqWlBfPz86ipqQnZnHEZ50nFy5xKgCcV57JmgiAAQgxCFgPRZDuMHMly53yOfdc+M6RqamrK7e8T4sUJdmVSEg7/835kpy2fxCjDkc4xfPtP/3XfdyWWYEyrxxPP/Qc//+aFABbCZ1ftXI+rdi626RgeHkZ3dzc2bty4sMHiKnygXZrQ4fHf3AZpYgau//Mbp8JRMtRPWFE/MQSCtCBfKUVtSQa2F6dCKgLrTZaens5LmCw1MQ53XLIdd1yy8D397/FOvHykE81j87js/J149M7AG10pisLPf/5zvPHGG/joo49QWLi8x3NHnKiEK6dy7NgxyOVybNmyBRKJxOuEvMlkQkNDA8RiMWpqakLq8ivjqKf39qRiC9Chmaurn3FAdQVBEEhLdl9ebT+kiiAaXFdyOb0tuVmZ+OhfDyAhNnIMIEPF+42DuPVxbhde0jgP00A95wmXYXBwEH19faisrGRLYSmuUirn94cQ4R933w5FciY7EGvRr4hlGJgH+r8YRXNnH567+38wPT2NsbExdHR0ICEhgRWYhISEgNcGsViMfbUV2FdbEdB17KFpGnfddRdefvllfPTRR1i1KjQDviKZiBOVUDM/v1DempycjPLycna8J+A5IT83N4eGhgakpKSgoqIi5DbfMq7FwevwV2CiwtnVDzf3RxD46U1X4ayt3nVWx4pp6FweqL567uL8FTjwyM8QpwhNEjiSeP3LHvzoyfc5q+8Iqx70eCsA2uPi3NfXh6GhIVRVVTk065E0DZqmYZudgkgqgyhWyV7LvtRbJBLjmd//GKQi2bOZo80C02AjyNKVSEhIQEJCAgoLC2GxWBxybRKJhBUYvsNk/kLTNH7/+9/jX//6Fw4fPoyyMt8aeZcqy1pURkZG0Na2MOd91apVoGna64T81NQUWlpaUFhYGLb55lyi4m31l6fGT09wnVRcmSiJRGI8+qv/xaVn13r9HC9/dwueeucY6qdI9M9SoMSOp8Ftm9bhnpv2oaO9He00zS4+qampETMTPVj8+9N2/Obfh93mrQDApp+FebiZDVFVb1jj8nH2Q8yqqqrYWRwMBE2CMswubJ5IG2yaEdCkDSJ5LNtIKBKL8e/7fwadKB63//1d7jJzq3lhfonFCJnM8X2yz7XZe891dHTAYrEgJeWrGUChMGZ0hqZpPPzww3j88cdx6NAhrFnj+jVdjkTcNy4UizNN0+jq6mInAJ44cQJWqxUEQXiVkGdCA2vWrAlryaBcyrFbI0IT/uI8qTi9jlKpDC/98ZfYtqHcq2vTNM3umn985blITk4GTdN472Q3/t8nbWga1uOCC89i4+I0TWN2dhYqlQo9PT1oaWlhFx++YvTh5K9vHIPFoGfdmPcf68Fv/9/HHgRFA/NwK1vZdVr1Rrz88J2LHkfTNLq7u1nXCGd/KtWcAfpZrUNZuEiqAE6lteSZRbDFJuHOS7dhho7FT558j7P51F5QAEDOMVPE2XtOr9dDpVKxYTKmJJ2vMJknaJrGX/7yF/zpT3/CwYMHWXt5gQUiTlSCjc1mQ1NTE3Q6HZuQl0ql6OjoQHZ2NtLS0tzubpn5KdPT09i8eXNYfHzskXN5FHlpimcLNPzF1Stjdw9xcXF474l7sSrPuzJLmqbZ19p+3gxBEDh/cynO31zq4vkIKJVKKJVKlJSULFp8EhMT2cUnLi4u4qztufjxsx/jwGctAMC6McvkctBSOcTSGChIPXR6vUMuzTY/DfNoGys655y2Bc/9/keLrk3TNDo7O6FSqVBdXb3IHXxcq8P5d70EE5f9DiGCdXoAJ/oK8dGhfk6ho21mmAYbHBphvXWuJggC8fHxiI+PD0uYjKZp/O1vf8P999+Pd999F5s3h9YhIBpYVqLCzNeQyWTYunUrm5CvrKzE5OQk+vr60NraipSUFGRkZCA9PZ1NvFutVjQ2NsJms2HLli1hOXI7w3VS8Tr8Rfo/9RIAthQm45PmPpgJF6eAU4t2emoqPvrn/UhVeifCJEmiubkZBoMBNTU1fr/WcXFxiIuLQ0FBAcxmM6anpzE1NYW+vj7I5XL2PVYqlREtMLc88QEOnuhk/z/jxgwLCZrWwzqngoWmIcsoBGU2gDLrQc5rYB75ymFgzzmn4++//t6ia9M0jba2Nmi1WmzevHmRldDI9DwuuOcl7sFgFAlT75egbWbUa6UQxSlA2yygLQbAKZ9C2yyLnBUA70XFGXdhss7OTpjNZl7DZDRN4+mnn8bdd9+Nt956C1u3bg3oekuViBOVYH25mdHEmZmZKC9fCL8wCfmEhAQkJiayu9upqSm2AZLZ+Y6PjyMhIQEbN26MmDi9gjP85Z2o+Dv1kuHaMypw7RkVONk9iqc+aMSxPjXmKenCKYUgsKogHx8+dZ/XiwbjtUbTNKqrq3kbtSqXy5Gbm4vc3FyQJAm1Wg2VSoXGxkYAYE8wqampEZEEBhYWsW/++W0cbRtw+xiCIGCZmQCp10CWUQiRPBYieSwowxwYQbnyonPwx58s7sWgKAqtra2Ym5vD5s2bFy26fVOzuOiel2HimDdEUySMvV8AtgXHX5oQgxAtlJTTUgVEBCC16qHXz4OgKBgHG9iQlz2b13kXEuXCPkxG0zR7Uh0fH3cIk6Wlpfk8yZSmaTz33HNs6fBpp50W8P0uVSJjdQwyY2NjaG1tRWlpKVauXMl2yDM5FHvi4uJQWFiIwsJCmEwmDAwMYGBgADRNQyaTYXh4YfBTqHpRuFBwhb+8LikO7KTCUFWSi6qSXAALFiFPvHsScys24S8/+IbXX16TycR6ra1bty5oi7tYLEZGRgYyMjJA0zRmZmZY635md+t8Ug01NE3jkgdeR1PvKOfjTGOdIGcnQMicB9otvK/OdivsTymKPQ1u3rx5Ub6pa0yLvfe9ArPFvb09Rdlg6q9nBWXhvr/6OUEQoAFYpAseY8YB14Jy09cvxg2Xns/5d/qKuzDZ9PQ0hoaGIBKJWIHxtJGgaRovvvgi7rjjDrz66qvYuXMnr/e61FjSosIkH4eGhrBp0yakpqZ63dAILAzkGh0dxerVq5Gens7Ob+/r60NMTAy7MIUiOegKhYwj/OXtScXLWTK+kJ+hxL3XnuXT7+h0OtTX1yM1NRXl5eUhK88mCALJyclITk52yMOMjo6ivb0diYmJrMCEaiNBkhR23bsf3SPuGz8BQDY3DP3sBABgRUo8LtiYjsNtY5g0ESBA4PvXXoaf33iFi+uTaGpqgtlsRlVVlUvhvOJP78LMMY7a2c0YAHKzs0DIFYDRjYuxi0qw735jD+76n6s5/04+cBUmm56edthIMLkY5xPbgQMH8IMf/AAvvfQSzjnnnKDfa7QTcaLC1+Jss9nQ3NyM+fl5bN26FXFxcT5ZrnR3d2N0dBSbNm1ibauZ8InNZmPj8ydOnIBUKmUFJpTx+RgOUYGXi3Kg4S8+mJmZQX19PVauXIni4uKw5Tecd7dms5kdQNbb2wuFQsEKzEJTJv/3abTYcME9L2N4UsP5ONNYJysoALC2tBB3X/M1AIDeZEFL/xi2rC5Y9HskSaKhoQEkSaKqqspteNFAiSFKSAFoGnG0EXPz82wRAGWzLgiKXV4kLzcHnz77IGrvftP9TTuJyi1X78Vvbr6K8+8MBvZhstLSUuj1ekxPT2NiYgKdnZ2Ij4/HF198gfXr12NmZgY333wznn/+eVx44YUhv9doJOJEhQ+YhLxEIsGWLVsglUq9FhSbzYaWlhbo9Xq3lisSicRhfrtarcbU1BQbn2cWntTU1KDuuGOkHG+flwseZ5d0CGD6fUpKSnifQBcocrkcK1aswIoVK2Cz2dg8TENDw4IjQFoaMjIyAq4yau4fQ0FmChJiFfj6n9/FsGqG8/GmkTaQ8yr2/29evwZP/+529v/HKWQuBcVms7H5qsrKSre5QfJUSHTBcoeAAXGQKONAmfSgzHoHe3wAKFi5Ap/+6wFIuT6PgEPS/n+uuRS/+m74RzfbbyQKCgpgtVoxPT2NP/3pT7jnnntAkiRqa2vZHE0khL0jnYgUlUCmPzK73vT0dKxevRoAfLZckUgkqKmp8SpJzMRm09PTQVEUG5/v6OiA1WpFWloaMjMzg9KIFyNzf71whr+8ZWRkBF1dXbz0+9z90lG8cOgkcuJF2FVThhsurEViPH92LRKJBJmZmcjMzHR4n5kqo9TUVGRkZCAtLc2nPMyzH7Xhdy9+BNJmRUYsAbWBAmJTIJbKoCD1mJ/XQ2QnWKahZpD6r04xp9dU4j8P/dTjqclqtaK+vh5isRibNm3iFEGTm+FpIkUcRIo40LavEvfFBXn46Ok/sIKysygRB1vGYCJki+6J6ax3F5aLBKRSKbKzs3HDDTfgo48+wg9/+EMYDAb8+Mc/xvDwMN5++22ceeaZ4b7NiIagQzm710ssFotfojI+Ps7uevPy8kBRX42U9XRimJ2dRUNDA9LS0rB69eqATxg0TWN+fh5TU1OYmpqC0WjkPQH8cfsYbnzqM5c/I43z0De95/EacTEK9B58NuB78QWapvH25w2466UjyE+W4/oLt+L8mjV+h5O+9+SHeOeLDsfnoEhkxABnrs/HLXt2YGVGcAwmaZqGTqdjw2Tz8/NISkpi7fudez7seezdBjxy4Aic58DQNAXKbAREBMTxqSAI0cIJYaQNlN0J5YKdtXjmnts83qPFYkFdXR3kcjnWr1/v8VQ1PWdE7d1vuP353PH9AGiUFhXg8NO/d3m9lsFJPPV+Az7vVkFrXagIM3Ydwa0Xb8edN1zu8Z7Dyccff4wrrrgCf/3rX3Httdeyn8vOzk7k5OQschoQcGRJiApjOz84OIgNGzYgLS3Np4T85OQkWltbUVRUhPz8/KDEyplS5ampKczPz0OpVLJ5GH/r57/oncI1j3/k8mekSQd947ser5GSlIC2N5/y6/n9gaZpPP3W53jgzSbY7EJvEsqK0sxYXLZjPa46qxpSrnJpu2td9cc38UXHYvt7eyyTvTj4yG1YXRx8O3KTycQKjEajQWxsLCsw9mWsf3j1C/zjnS85r0VZTLCo+hC3+gwAgK71I1C6aQDAZed/DX/9xS0e78diseDkyZNsRZ23m6UTXSN4+sMmHO9TY44pEcepzdIX+7G6pAgf/ONer8J+6jk9nn6/HokSEt/dc4ZXzx8uPv/8c1x66aV4+OGHccMNN0R0/1KkEpGiYrVaPU9tOwXTKDc7O4vKykrEx8eDJEnQNO3REJKmaQwMDKC/vx9r165FRgb3fG++MJlMrMDMzMwgISGBFRhfYrYtIxpc8qcPXP6MMhuga3ib8/clUimeu/9n+Fr1OgALVhzX//E1pMgofOeCGpy+cXHXeiCQJIkHXjyEpz/p4pwdLjbP4uHrzsJFO7e4fYzVRmL3fQfQ46FCipzshkkzhnef+D02ri7299b9ginoUKlUmJ6eZkOlTx4dxevHuzh/lzIbYBpqAiRSJGxYKLfVtR4GpVPj2n0XeDX2linRTkhIwJo1a/w+fY+p5/Dke/X4sHUU43oK+fp2HHzid0tuwT1+/Dj27t2L++67D7feeuuS+/tCRUTmVLyF+dKIxWJs3brVp4Q8RVFoa2uDRqMJueWKQqFAXl4e8vLyYLFY2FLl3t5exMbGel2qHCfnyPl48YV45+/3Yl1JAYBT0wLvPwDjKSuOz/7vfUiot7A2NwlXnbkRl5y+KaAvmdVqxU+eegdv1A1zTpG36TQQzw1jzSr3p4p5gwXn3fMSJtWznM9pGm0HOTcFhVyOjBSlfzceAM4FHVqtFnc89yk+aePuPaFMuoWuc9IKsUTy1QYJtNcVU0ajESdPnkRycjIqKioCeu9yUhPx66vOwK8BmCw2yKXiJbfgnjx5EpdccgnuuusuQVACJGpPKrOzs6irq0NaWhoqKhbmIzC/4+mEYrFY0NjYCIqisGHDhoiwXAHgUKo8PT3tsVR5ctaAHfe4LuGkrCbo6tyXdyoTE9D06t8gk0nxSdsIbvzrW5yOxYRFj59evAE3XnKez3+XyWTCjY++gSPd3KcK6+wkEs3T+PCp+5CZqnT5mMkZPS64+2XM6vRur0NRFCwjLSD1Wsjlcvz3/+7BhtICn++bb6776zv4pKmP8zGkcQ6moWaAWngvSvJz8c8Hf4kn3q1HfiKBWy/13P9jMBhw8uRJpKWloby8XFggPdDY2Ihdu3bhZz/7GX784x8Lr1eARORJxdObOjExgebmZqxatQr5+fk+JeT1ej3q6+uRkJCAtWvXRowlB+C4s2VG6zqXKjMlrCKRCPFcJxU3c7kBIDM9DR898wBkMile+KwDv3ruMLdFuUkP40AdmtpiAR9FRafT4YoHX0PnOPepwqIeRrbUjA+ff9jtkK2uMS32/WE/p7EhRVEwDzaAMs0jPi4eHzz9BxTkhCas6Q6apnH5w2+gvmuY83GkYQam4RaA+qr6iiAIFGen4v7rzvbqufR6PU6ePInMzEyUlpYKC6QHWltbcdFFF+GHP/yhICg8EZGi4g7GCr2vrw8bNmxgy3h96ZBvamoKe5OdN9iP1rUvYW1vb4fVamV/5g53f9vqkiIc/PvvIJVK8MBrX+Dvb3Mni216LcxDzQBon+fZT05P47IH38SY1v2pAgDMk70oz4jBe397iFPk73jhOMyEHHIZBbNlcdf2Qpd3PWiLAakpyfjkXw96bWIZTNQ6ExrHjRDFKkFZjYB1sSiSOg1MI62LGgSNRgPa29tZ112uTdP8/Dzq6uqQm5sb8Z/vSKCjowO7d+/GzTffjF/+8pfC68UTUSMqzBx4rVaLrVu3sgl5bwVlZGQEnZ2dWL16NXJyvLNfjxREIhFSUlKQkpKC0tJStlS5r48jlOLi9Threw3+/fsfgSAI/O+TH+JtpzJcZ6wzE7CMf+WO68uUSJVKhf956iNodCbQFOXWNdk02o4dFSvxwgM/8fgeWkgaIqkcNqkchMgEyqQDKCtAiBfcbwfqQdvMWJGThY//+QDiYiIjrElRp0ReIoVYIgWtoAGKBGU1AxYDYsUUVCMtLu3iY0+5Bre1tcFms7FWImlpaQ59VHNzc6irq0NeXh6KiopC9rdFK93d3di9eze+9a1v4e677xYEhUciUlSc32Cz2Yy6ujoQBIFt27b5lJBnBnKNj4+jsrISycnJwb79oEIQBBITE5GYmIhVq1aBOPCSy8Q3bXU0Arz+st247wfXgiQpXPHw62jo4U4WWzWjsE45ipa3ojI6OoqOjg5cf3opnjvSh+bReRjNZtCWhS5sQiRi8x6X7qzEX372Xa+ue3ZZCp6dnIYRMohkCohkC6JB2yww9CxYr9ufxCIFykksCIIAxBKIxRLQ8lhMn3jV7fwRqVSK1atXo7y8nN1MDAwMoLW1FcnJyezwsba2NnYKqQA3/f392L17Ny6//HL84Q9/CPkY8KVO5Hzz3MDswJg58ARBeN0hz/h/GY1G1NTUcDaiRSvb8uLwRb8GNrHzPJNTixRB4BffvRr/e/XFAIAbn/wIDQPTnNc0T/bBplkc/19Xyr0DZkq0BwYGWM+0C2sXpuId6xjG0x804osBLXRGM8jRDnz/inPw0+sv8+4PBXDHni24Y88WtAxO4sn36vFZjwqzNikIiQyEWIJtVetx4I+/iLhdp7Oo2EMQBOcMd2bBc95MGI1GdgDZ/Pw85HI5SJLE3Nxc2AxOo4GhoSFceOGF2L17N/74xz8KghIEIlpUJicn0dTUhKKiIhQWFrL5E8BzQt5oNKKhoQEymYzXuRyRxj+/vwsA8HFzP575sBknh2dhggwgRBCJxfj5dZegPDMWR44cQUZGBka1RohjExcKG0gbxKQJVpORDZc5+0ox3HL1XvyYQwCY6YGTk5PYvHnzoq7jreUrsbV8wdura0SFocnTcHaVfzM01uZn4k83LfRujKnn8MS7dSDLduCeG/f6db1gQwbgryZyIw4xMTGIi4uDwWBAWVkZpFIppqamMDg4CKlUyubckpOThYXzFGNjY9i1axfOOeccPPbYY8LrEiQiVlT6+vrQ29uLdevWsX5L3uZPGMuV9PT0kNqoh5Mz1hXijHWFAICG3nE8c/AkrvvevdhYVuRQqmwxnwpBnYrxUxIpRGI5SOM8zCNtoEzzWKgco9nH/e6HN+A7+9xbflMUhZaWFszPz6OmpmbR9EBnSleko3SF+yIDX8hJTcRvr97Jy7WCRUCi4uazq1Kp0NzcjNWrVyM7OxsAkJ2dDYqioNFooFKp0NraCpIkHfIwkTJgLtRMTExg165d2L59O/7+978vizUhXETkJ2xsbAxDQ0PYsmULEhISfErIT0xMoK2tDatWrcLKlSuXZRhgY3E2/nzLbvb/25cqKz+cwOj8jMPjCYkMkoRUUMnZEOWUAZQNpE4DUqfGIz+4Clecu93tczFjlkmSRHV1ddiGWkUyXJLCVcoNAHEuyqsnJyfR0tKCtWvXLjLiFIlESEtLY3tU5ubmoFKp0NfXh5aWFna8rqu5IUuVqakp7N69G5WVlXj66acjqo1gKRKRzY8kScJgMEAikXh9QqFpGv39/RgYGMC6des4y22XM1c8+iEaBtWL/p2yGEGbdIv+naZIpClonLk+H9/bewZWZHxV6MAUUMjlcmzYsEH4srqhd3IWFzzo2tyTpijMf3nA5c8SExPx6bMPOTSCjo+Po62tDevXr/f5M24wGFhfspmZGXa8bkZGBuLj45fkBkytVmPXrl0oKSnBiy++uGTD4JFERJ5UgIXdtbcJeZIk0dbWhpmZGVRXVwsuoi742bOH0dXTh9QUJcQ2E0jJV7tUyqQHbTG4/D1CJIbaAjx/8AuM9nbhuft/AmChya6uro61ARHCCe4hObdtrn+YkqzE5889guSkePbfRkdH0dnZyZqm+kpsbCzy8/ORn5/PjtdVqVQOeRjGvWEpvJ8zMzPYs2cPCgoK8MILLwiCEiIiUlQefPBBqFQqXHzxxaisrOT8gFssFjQ0NAAAampqFs3aXu7QNI0rH3kTX3aecvKdmABBWpCdsFDSOmKUgLa5n0MOLDQn2jQjmEkrgclkgtlsRn19PXJzcxfKmpfgDpdPvDVHZchIS8Onzz2EpPivqhWHh4fR3d2NjRs3spNIA8F+vC7j3sDkaSiKYgeQBWMOUCiYm5vD3r17kZmZiZdeekkIy4aQiPy0bNy4Ec888wwuuugipKSk4OKLL8bevXtRXV3tEGKZn59HQ0MDkpKSsGbNGiH84oTRYsOu3+3H4IRjCTEtlmHMAAAUAAsosx4iuWt3ZJG6HzbNyML1jEZ8+umnAIC0tDTk5OQIguIFJJemOEWfc7My8dm/H0aM/KtFcHBwEH19faisrIRSqeT9/uzdG2iaxuzsLDtCubm5OeryMDqdDpdccgkSExNx4MCBqLjnpURE5lQYDAYDDh48iP379+PNN99EXFwcLrroIuzduxfj4+O477778MILLwimeS6YmjVg1+9ehmZ2cZ7EHqtmBLZ5NWLyNyz6mWm4BaTuq/zL9k1rcMvF25GTkwOz2Qy1Wu2Tq/JypX1Ugz1/fB+u/Nho0ob5E68BWBjL+/E/74dc9lWYhskTVlZWIikpKUR3/BV6vZ7Nw8zOziIhIYENk8XFxUXc+63X63HppZeCIAi89dZbiI+P9/xLPMKsWW+88Qa+/PJLDAwMgCRJrFq1Cpdeeiluv/32kN9TqIloUbHHZDLhww8/xP79+/Gf//wHVqsVu3fvxne+8x2cdtppQrzUDmcbe1fQNA3rVB9sRh3k6fkQxynZny2YMjaCMs2x/5aVkY77brwYW6o3IzU1FYDvrsrLmcb+cTx5sBFHe1SYtR96RVoxf+J1lBcX4sOn7mNP2zRNo7e3FyMjI6iqqoqIPCEzpkGlUkGtVkMul7MnmEjIwxiNRlxxxRUwmUx45513QjrOguHJJ5/EjTfeCABYs2YNKioqMDc3hyNHjmB+fh7l5eX4+OOPQza7KRxEjagAC4vYbbfdhpdeegl33nknOjo68Prrr8Nms2H37t3Yu3cvdu7cuazjp55s7Al5LGgAlrEuiOSxEMenOOyfKZsVpsEGh8R9aWEefnvdLmyuqnL7RbV3VVapVCAIgt3RejJCXG6MTs/i7+/W4VDbGCb1JAqNXXjv7/ewIkzTNLq7uzE+Po6qqqqI3NmSJAm1Ws2KDACHfphQh6LNZjOuvPJKaDQaHDx4MChhQm949tlncezYMfzwhz9ESUkJ++/j4+PYtWsX6uvrceWVV+L5558Py/2FgqgSlZdffhl33XUX3nzzTdbjyGaz4bPPPsMrr7yC1157DTqdDrt27cKePXtw9tlnL6t46n8+78AvnuW2sYcsBmJFPCizHrR5ccUXTVEgDVqQc9OwzU1hy7oy3PGNs1FVVeW1zQ3jqsxMt2Qa8KI58RssdEYT4hRyB0Hp7OyESqXy6TUPJ0wehtlQmEwmhzxMsItnLBYLvvnNb2J0dBQffPABL4UMweDo0aOora2FXC7H3Nzckt38RpWo0DQNo9Ho9otGkiSOHj2K/fv349VXX4VGo8H555+PPXv24Nxzz/VpVG+08cqxXvzsXx+CJhdbwjNQZj0oioQ0MQO01cR5PYtqECmYwxM/uw6bNm3y+wtA0zTm5ubYBcdoNCI1NRUZGRlIS0tbsl8sf6BpGu3t7dBoNKiqqvLoTBCp6PV69v2em5tDYmIiKzB852GsViuuu+469PT04NChQ36VWocKg8HArkFjY2OsE8JSI6pExRcoisKJEyfwyiuv4NVXX8XY2BjOPfdc7NmzBxdccEFExKj55Ncvf4kXj/eBMulBmQ2gKRIi8VcnApt+BuaxdsSVneYwBMoVlql+2LQj+Pm39+KWb17G68lCp9NBpVJhcnISOp2OddrNyMhYVqdKZyiKQmtrK+bm5lBVVbVkXguz2cyGyDQaDRQKhUMeJhCBsdlsuPHGG9Hc3IzDhw8vcheINFpaWrBu3TpIpVLWBHQpsmRFxR6KotDY2MgKTH9/P84++2xcfPHF2LVrF5KSkqI+qTysmsEjrx3Hp91TmCUXEsGU2QDKpAOpU8M81YeEkq0eeyZMYx2gddO4//vX4Oq9FwQ1F8I47U5NTWFmZgYJCQlson8pniqbesewrih70WeNoig0NzdDr9ejqqpqyS42TB6GKewAwApMamqqT3kYkiRx66234vjx4/j444+jYtd/44034sknn8RFF12E//73v+G+naCxLETFHpqm0draygpMR0cHdu7cib1792L37t1ISUmJeoEZnJrB3989iUNt41BbxLBOD0MSm8Bpsc7MNxFZ9PjHr2/GeWdsD+nrwFQWTU1NLclS5VsefwcH6/sQKwFK0mNx2Wlr8PUzqwAATU1NMJvNqKysXDbhQIqiHPIwZrMZqamprMhwvQ4UReH73/8+PvnkExw+fBgrV64M4Z37x9tvv43du3dDIpHgyy+/xIYNi0v4lwrLTlTsYQZ47d+/HwcOHEBjYyN27NiBvXv34qKLLkJGRkbUL2Yvfd6Bnz932IOg2GAeaESshMZ/7r8dVRvWhfAOF7OUSpVpmsb1j76JT1qGFv1MKqKRqaBQU6DEz6/bh+SkpRWS9Raaptl+mKmpKczPzyMpKckhD8NAURTuuOMOvPvuu/joo4+iYihZe3s7tm/fDq1Wiz/96U/4wQ9+EO5bCirLWlTsYQwpGYE5ceIEtm3bhj179uDiiy+O2u7xM+5+HVqNGjqdDoRocXiBsplhGmhAWkIMXv/Tz1FUmB+Gu3RPNJcq0zSNqx9+Dce7xjgfR5i0+MW+rbhu39khurPIxmQysZsKjUYDuVyOAwcOYNeuXTh48CBef/11HD58GKtWrQr3rXpkZGQE27dvx9DQEG6//XY8/PDD4b6loCOIigtomsbw8DAOHDiAAwcO4OjRo9i8eTNrF5OXlxc1AvP7V47gpWO90NEy0DYzKKMOoGwAIQJtMcI42IDC7DS8/udfhKQhy2ojcdOjbyBFRuGWPadh1QrvnzOaSpVpmsalf3gFjf1TnI+zzU3hO1+rwK+/+/UQ3Vl0YbPZ0NfXhzvvvBOffvopLBYL9u7di2uvvRZnnXVWRFfITU9PY8eOHejo6MB1112Hp556KmrWjUAQRMUDNE1jfHwcr776Kg4cOIBPPvkEGzZswJ49e7Bnzx4UFxdHxQela0SFx9+pYxP5IG3Qd3yKjXmpeOHBn4bEAkRnsuD8u1/G+PQMgIXXNl5sRW1pNr67uxabSvO8vpZ9qfLU1BRMJlPElCpbbST23fcy2kcWjxiwxzY7hVvP34CfXnfJop9NaueREh8LqVTws6NpGvfddx+efvpp3HvvvWhubsbrr7+OyclJNDY2RuSJZX5+HmeeeSZOnDiBSy65BC+99NKy8SYURMUHaJrG9PQ0KzCHDh3C6tWrsWfPHuzduxdlZWVRITADExr84YUPQein8fDt3wpJg93UrAEX3P0SZub1Ln9O0zRiCCu+ddoq/OTai3y+vk6nYwWGKVXOyMgIuQmi2WrDRfe8iN6JWc7HkTMT+OHeGvzgqsV/a/PQNK568AAMBgNWJkmxu6YUN+zeDmV85DdC8g1N03jooYfw6KOP4sMPP2QT3EzBTSSOXTCbzbjgggtw+PBhnHfeefjvf/+7bAowAEFU/IamaWi1Wrz++us4cOAA3n//fRQVFWHPnj3Yt29fRH7YgYVwQlNTEywWCzZt2hSS8tW+qVnsufcVGIzcDZemkRYUpyrwyXN/hHreiC/b+nBeTYXPQu1cqsw03wW7VFlvtuCiu17E4PQ85+PImXHcecUOfPey8xb9rK5vElc+9Noimx2aIpEeA5y1Ph+37NmBlRmR2TXOJzRN4y9/+QsefPBBvP/++6iqqgr3LXmEJElcfvnlePXVV7Fjxw68++67UeGKwCeCqPDE7Ows3njjDRw4cADvvfcecnJy2BPMxo0bI0JgLBYL6urqIJVKsWHDhpDkIOr7p3DVQ6/BYnXf6Q8A1rF2WGanULmmFE/87qe48HcvQ28wQkxZsDorHld9bSMu21npVQhBPW/EO8da8PWdlaBpMmSlyv/3Th3+/PpRWKwkRG7uk9SO4a5rz8K3Ljpz0c+Od4/jm4+8zg6ncwcx2Y6e1//Kyz1HKjRN4/HHH8fvfvc7vPfee9iyZUu4b8kr/vznP+O2224DAOzbt8+tV95DDz0U0d3/gSCIShDQ6XR4++23sX//frz99ttIS0tzmAkTDoExGAyoq6tjZ8+E4h4OtQzj5sfe4lwkKYqCebgJlGEWyUolnrr/l7jh8fdgNi8eHEaQFhSnxeDS7WvwnV21LgVmVKPDhXe/BJ3BCJBWFCbLsWdbOa7fVQu5RBz0UmWd0Yyn3q/De3V96J2YgdVKAqcml1LaUfz+OxfiG+eftuj3Pm0fxfV/eQOUh9fKNHASYpsZIx+9EPC9Rio0TeOpp57Cr371K7z11ls47bTFr1ek8tvf/hZ33XWXx8f19/dHRTm0PwiiEmQMBgPee+897N+/n53vwMyE2bZtW0iSd3Nzc6ivr0dWVhZKS0tDkvc5cKwbP3nmA05zS4oiYR5oAGXWITszA4/85g7c/Ph7bh2WGYwD9fjw8V9jdbFjYr9nXIs99+2HyezC8p+yITtehAurSvC/l+5ErFwa9FLlmdk5PPLiQXw5ose4So3ffr0We7+2ddHjDjUP4buPvcXpdkBRFMjRFlh0WsTHxqDnvX8FfH+RCE3TeO655/DjH/8Yb7zxBnbu3BnuWxLwEUFUQojJZMIHH3yAAwcO4PXXX4dMJsPu3buxb98+bN++PSgzYdRqNRobG1FUVIT8/PyQCMqzH7fjrucPL5pqaM+CxX49aIsRqwry8YvbbsH3/3EQFIcvGbNTp80GvP/U/VhXWsj+rL5/Clc+9BqsnsJs6hH86eYLcck5Oxyuy3epsk6nw8mTJ5GTk8M5cvnd+n587+/venQ7YObbEASBR+78H1x5wek+31OkQ9M0XnjhBdx222147bXXcPbZQt9ONBI5hf3LAIVCgd27d2P37t2wWq04fPgw9u/fj+uuuw4URWHXrl3Yt28fzjjjDF6qRcbHx9HW1obVq1cjJyeHh7/AO16vH4EkIRUS8xyMRuOipkvKaoZpoB60zYzKtavxrWuuwv8+8S649jc0TUE03sza9dvv6j9tH8V3/vKGx1yERTUA6/QgKKenEYlESElJQUpKCsrKythS5Z6eHrS0tPhcqjw3N4e6ujrk5eWhsLDQraD898te3P7kQQ+nOQrmwQZQpnkQhAiP/vJ/cdm52z3eQzSyf/9+dl6SICjRiyAqYUIqleLcc8/Fueeei8ceewyffvopXnnlFdx6660wGAzsTJizzjrLr5LYwcFB9Pb2YsOGDSFPCMrFNGgQsMqTIJEngbKaTjVdWkFbzTAONgKkFWdtr8bpZ52Ln//rQwAcpxrStiBCpwaHiUUixMcvNL29XdePHzzxrkejTPNkL2yaEQDgFC+CIJCUlISkpCSUlJSwpcpDQ0Noa2vzWKo8OzuLuro6FBYWeoyZ//TF46DFEsC2OH8EnBKUgXpQZh0IkQiP/+Y27D1zcfhsKfD666/jlltuwQsvvIALL7ww3LcjEABC+CvCIEkSR44cYWfCzMzMOMyE8VSeyEwNHBsbw6ZNm8Iy11w7b8QT753E2w1DGDcAEH21dzGPdsA80oLLLzwLOWUb8eS7JzivtWAjUw/aupAnIQgRHvrpzbh6185TQ8kOeTjh0LBMdME2M8H+259/fiu+fsFOn/8uplR5cnISs7Ozi0qVtVotGhoaUFxcjLw8z42cpXe8tPA3WkygTPMAaZfUpyiYBupAm/UgRCL8454fYffp1T7fczTw1ltv4dvf/jaeffZZXHrppeG+HYEAEUQlgqEoCl9++SXrqDwxMYFzzjkHe/fuxfnnn79oJgxFUWhra8PMzAw2bdoUEfbxepMFT79fh/+eGMDgHAnL1AC+vb0QN1+1B6ff9TpIiwmwGl3+LmUxwjTQAJpc2MmLRGI8cc/t2H16NZ54vwn3v/wZuE44NE3BPNYBck7l8O9/uvNWfOPCnQH9XRaLhU3yM/PazWYzCgoKvHJZoGkaZT9+efG/2ywgjfMwDTSAMmghEonx1L134ILTIr9Hwx/ef/99XH311fjHP/6BK6+8Mty3I8ADgqhECRRFoaGhgRWYgYEBnH322dizZw8uvPBC0DSNH/zgB/jmN7+J008/PSJncpitNrT2j6OydCXGtHrsvPctAIAYNCw6LSjb/2/vzsOiLtfHj78/g4ALBxQXQlFBBQ/gCmiaHhcoxWRT1OwqNZdfSalpZHpcC01NCyOXo8clD5a0AFGpqGGDaxCCmeC+sChrKiQIsszn+4e/mZNHcGOZz8Dzuq6uLmeGmRudmfvzPM/9PHcpkiQhSSoq7hZRkvrbvXPKAKNGjQj7eCGDXJ0B6BoYRnlpCVTSEhlAQqbkWgrltx88KmXtvOm87PXgPpGnlZ2dTXJyMn/7298oKip6rFJljUbD5wdOEplwmUs3S5GN7l+rKTwdA3dvE7pqPs/3q5/HpMfGxjJu3Dg2btzIhAkTDOI0CuHRRFIxQLIsk5ycfF9PmDZt2tCiRQu+/PJLgziPLO/PYgYE/fjA7XJFOZri2xSdjdV1qDQxMeWHjR/Qq2sn3eO0U0eyLIOsQS67+/8X8WUkZIozzlBR+Eelr/3JvDd4xcujRn6P3NxcTp8+Tbdu3bCysnqqU5VlWSby+BnCjpwjJecOFUamlJ47xH+WTmdwH/22IagtR48exd/fn7Vr1zJ16lTFv1+Fx6fohfrY2FiGDh1a5f3PPvsscXFxdRiRMkiSRPfu3enevTuTJk3C3d0dc3NzTExMcHNzu68nTOvWrRX5gTVtpOLe1NX9sUlGjTAya6FLKE2aNOWnrSvo0qHy6jVJkkAyQjJtCqZNaVReTMHFhCoTCkCjGtobpK2u6969u+6EZyMjI10fkL+WKp85c6bKUmVJkvAf4Iz/gHujsJ9/u4K5aR/cHO2qfG1DFhcXx9ixY1m1apVIKPWQopOKVufOnSvdVdu5c2c9RKMcmZmZDBgwgHHjxrF27VokSeLKlStERETw5Zdf8s4779C/f3/8/Pzw8fHB2vrBVrb6Yt7UlP2BL/CvfYnEnsvhVlkjpPuu4iXM/2ZG7I41tH2Cc67KGzXRLepXxq2HM+M8B1cj8nsyMzM5d+7cQ6vrHrdUuXXr1vftUXLv1anS56sPEhMTGT16NB988AFvvvmmYt6PQs1R9PSXdqQyadIkduzYoe9wFEeWZaKjoxkxYsQDH05ZlklPT9f1hImLi6NPnz6642Lat2+vqA905o0/2RSdSExKJnl3VZhePcKRHatpYWFW6eO101+VKTz9E5o7D54SPKSfK1+tmVftWDMyMrh48SK9evXC0vLJD3bUdjpUwqnKdenUqVOMHDmS+fPnM3fuXEW9/4SaI5JKAyDLMpmZmboj+48cOULPnj3x8/PD19eXTp06KeoDfuPPIhobG9GsSdVfrg9PKjFo7uTfd9vIoQPYFlT9Nq5paWlcuXKF3r1707x582o/H9wrVdYmGG2psjbBKKGCryYkJyfz4osvMnv2bBYuXKio95tQswxi+kuoHkmSaNeuHTNmzOCtt94iNzeXqKgoIiMjCQoKwtHRUZdglNATpqV5zX6Rjvd6gU/n/b9qP8/Vq1dJTU3FxcWlRvf/NGnShI4dO9KxY0ddqbJ2mqw2T1WuK2fPnsXb25uAgACRUBoAgxipPPfccwwaNIgbN27QqlUrBg4ciKenpyKOkzdkf+0JExERQUxMDJ07d9b1hHF0dFTs37Hj3G+oqOKdW5h8EE3RLQCmjvXmw1kTqvVasixz5coVMjIycHV1fWB/UG0pKyvjjz/+IC8vr9ZOVa5tFy9exNPTk4kTJ7Jy5Uq9vZ9KSkpYuXIlYWFhpKenY2lpiaenJ0FBQdjY2OglpvrKIJJKZbp3705ERAT29vZ1HFX9lZ+ff19PGBsbG11PmJ49eyoqwXzy3XF+SEx9YMc+/DepvD1pLP+cNrZar6M9oSArKwtXV1fMzCpf46ltT1OqrG9XrlxhxIgR+Pv7ExwcrNeE4uHhwfHjx7G2tuYf//gHqamp/Prrr7Ru3ZpffvmlwRf91CRFJ5WTJ08SFhaGv7+/Lnn89ttvLFy4kLi4ODp27MipU6f0chRJfXf79m1dT5jo6GhdT5hRo0bh5uammC8xbf+SH0+kkn5bA0bG3DmjZv6Ekcx42atazy3LMufPnycvLw8XFxfFrG887FTlVq1aKaIXelpaGp6enowcOZL169fr9f2yZMkSli1bRv/+/Tlw4IDuwiA4OJjAwEAGDRrEoUOH9BZffVOrSWXMmDEkJyc/0c+EhobSt2/fhz6moqKCoUOHcuTIET788EMWLFhQnTCFR7hz5w779u3T9YQxNzfX9YTp16+fIr7E4N6O/dCDv2FhomGc+8PfQ48iyzJnz57l5s2buLq60qRJkxqKsmbJsqwrVc7NzaWkpKTKUuW6cv36dYYPH46HhwebN2/Wa0IpKyujTZs25Ofnk5SURO/eve+7v2fPnvz++++cOHHCINoVG4JaTSpubm4kJiY+0c+o1erHasyzZ88evLy8xFVGHSspKeGnn37S9YQxNTXF29tb1xOmLloU1zbtGWoFBQW4uroaTImvEkqVs7Oz8fT0pH///mzfvl3vFxxqtRp3d3c6d+7MpUuXHrh/2bJlLFmyhKVLl/L+++/XfYD1UK1+A5w48fATaKtDOx2WlZVVa68hPKhx48Z4e3vj7e1NaWmprifMpEmTkGUZLy8v/Pz8aqwnTF3TaDQkJydTWFiIm5ubIs9Qq4okSZiZmWFmZkanTp10pcrZ2dmcP3++1kuVc3Nz8fLywtXVlW3btuk9ocC9vTEALi4uld6vvV37OKH6DPay8tate9U9+lo4FcDExIThw4czfPhwNm7cyOHDhwkPDycgIIDi4mK8vLzw9fXF3d3dIK72NRoNv//+OyUlJbi5uRlkUvyrv5Yq3717l7y8PF2pcrNmzWjdujVWVlaYmZlVu5Lsxo0b+Pj44OjoSGhoqGJGrOnp6QBVVnhpb9c+Tqg+ZfzLP4WIiAgAMQ+qEI0aNcLd3R13d3fWrVvHsWPHiIiI4J133qGgoIARI0bg6+vLCy+88MieMPpQUVHBqVOnKCsrw9XVVS9rEbXJ1NQUGxsbbGxs7itVTkhIqHap8q1bt/D19cXW1pawsDBF/d0VFhYCVPme047YtI8Tqk8ZJTxV2Lx5Mzdu3H90uSzLbN68WXfW1fTp0/UUnVAVIyMjBg0aREhICKmpqbry5EWLFmFra8urr75KeHi4Yj7I5eXlnDx5koqKinqZUP6XsbEx1tbW9OjRg8GDB/P3v/+d8vJyTp06xeHDhzlz5gx//PHHI7tpwr1Ol35+flhZWfHtt98qbnSnXTKuKlHWxJKyggto9ULRI5WVK1cyc+ZMnJyc6NixIwCnT5/m6tWrqFQqQkJCxEhF4VQqFf369aNfv36sXr2akydPEh4ezocffsj06dPx8PDAz8+PF198EXNz8zrf0FdWVsbJkycxMjKid+/eilgHqEuPe6pyZaXKt2/fxt/fHwsLCyIjIxW5/qTdqFpUVFTp/Xfu3OvH86TT6MeOHSM7Oxt/f3+D2IRalxSdVAIDAzlw4AApKSkcPHiQsrIyrK2tefXVV5k1axZ9+tTP9qr1lUqlwtXVFVdXV1asWEFycjLffvstn376KW+++Sbu7u74+vri5eVFixYtav3DWlZWRlJSEsbGxvTs2bPBJZT/9TinKt+5cwd7e3uaNm3K2LFjMTY25vvvv1dsybW2rfO1a9cqvV97++O0f9bKzMxk8ODB9OvXDxcXF+zsKm9RIMtyg0w4ik4qM2fOZObMmfoOQ6gFf+0J88EHH3Du3DnCw8P597//zaxZsxg0aBC+vr611hOmtLSUxMREmjRpQo8ePRSzmVMpJEnCwsICCwsLunTpoitVXr16Nbt376ZDhw5IkkR0dLRiNoVWpmfPe10zk5KSKr1fe3uPHj0e+zmbN2/OtGnT2L59O1FRUcyZM4eoqChycnLIz8/Hw8MDJycnmjZtikajaXDvLUXvqBcaHlmWuXz5MhEREURGRpKUlMRzzz2Hr69vjfWEKSkpISkpCTMzM7p169bgPvTVUVJSwiuvvEJGRgYWFhbEx8fTp08fpk+fzqRJk/Qd3gNKS0tp06YNBQUFD938+Ouvvz7RzMexY8eYOnUqFy5cwN/fX1c4BGBnZ4efnx+LFi2iRYsWDW7EIj5NgqJIkkSXLl2YN28ecXFxXLp0CV9fXyIjI3F0dGTYsGGsW7eO9PT0p1ogLS4u5sSJE5ibm9O9e3eRUJ5AaWkpEydOJDc3l8OHD3Ps2DEyMzOZOnWqYv8eTUxMmDFjBgAzZsy4b20lODiY33//nYEDBz7xVPqAAQNYuHAhAN9//z1du3Zl3bp1+Pv7U1paytq1a1m2bBl//vlng0ooIEYqgoHQ9oTRNh07evQovXr10h3Zb2dn98gP7507d0hMTKRly5Y4Ojo2uA97dZSVlfHaa69x5coVDh48WGW3SyUqKSlhyJAhxMfH6w6UTEtLIz4+npYtWxIXF0eXLl2e+HlDQkKYM2cOKpWK1157ja1bt1JQUMDhw4cJDAzk1q1brF+/npdeeqlBTYOJpCIYHFmWycnJ0fWEiY2NxcnJSZdgHBwcHkgYRUVFJCYmYmVlVen9QtXKy8uZNm0aKSkpqNVq2rRpo++QnlhxcTErV65k165dZGRk0KJFCzw9PVm2bBnt27d/4uc7f/48w4cPp3nz5siyTFpaGrt27eLFF1+ksLCQsLAw3n77bQYMGMCBAwca1PtNJBXBoMmyzM2bN+/rCWNvb687st/R0ZHExETCwsIICAigS5cuDeoDXl0VFRUEBASQkJBAbGws1tbW+g5JEdRqNR4eHuzcuRNLS0vGjRtHq1atiIuLw8rKivT0dMaPH09cXBw7duxg4sSJ+g65zjSM8ZhQb0mSRMuWLZkyZQq7d+8mJyeH9957j5SUFAYPHkyPHj3w9vamuLhYcW2TlU6j0TBr1izi4uKIiYkRCYX/bnS8cOECcO+YFw8PD1555RXS0tIICAggPz+fDh06sGjRIiRJ4vLly/oMuc6JpKJAJSUlLF26FAcHBxo3bkzbtm2ZMmVKlbX2wj2SJNG8eXMmTpxIVFQUu3fvJjc3l65duxIREUHPnj1ZsGABCQkJj7VbvCHTaDQEBgYSGxtLTEzMU00R1UfaixJLS0sALl26hImJCSEhIbi5uREVFcX27dspLS3Fzs4OIyMjzp49q8+Q65xIKgqj7VIXFBREYWEhvr6+tG/fns8//xwXF5cGd9XztH755RdGjRrFypUrSUhIICcnhzVr1pCbm4uPjw9OTk689957HD9+nIqKCn2HqygajYZ//vOf7N27l5iYGGxtbfUdkuJoCxXCw8O5fv06pqambNq0ifbt27NlyxbOnj2Lo6MjlpaWaDSaBnWUi0gqCrNixQqOHz9O//79uXDhAl9//TXx8fF88skn5OXlMWXKFH2HaBDatWvHhg0bdJtnmzVrhr+/P7t27SI7O5v169dTWFjIuHHj6Nq1K3PmzOHw4cOUl5frOXL90mg0LFmyRLc+JdrsVm7o0KG4u7uTkJCga0Rob2/PrFmzuHjxIh999BExMTEUFBQwcODABjXtKhbqFUR0qat7paWl/Pzzz0RERBAVFYUkSbqeMIMGDVLcAYm1SZZlli9fzvbt21Gr1Tg5Oek7JEXSfmWuXbuWd999FycnJw4fPoylpSWpqanMmDGDvXv3Ym1tze3bt/nxxx8ZPHiwnqOuO2KkoiBHjx4lPz+fzp07P5BQ4F57ZoAff/yxrkOrt0xMTPD09GTLli1kZWURFhaGqakpb7zxBp06dWL69OlER0dz9+5dfYdaq2RZZs2aNWzZsoWffvpJJJSHkCRJd0L6sGHDOHPmDM8//zznz5/H1taWyZMn07hxY7Kyshg/frwuoTSU63eRVBREdKnTr0aNGuHh4cG//vUvrl27RlRUFM2bN2f27NnY2dkxZcoUfvjhB93JtvWFLMuEhITw2WefsX///ic6B6uh0mg0NG3alK+//ho3Nzd+++03hgwZgqurK/Pnz6ekpASVSkVWVhbp6eloNJoGMwUmkoqCiC51yqHtCfPZZ5+RlpZGdHQ07dq1Y8GCBdjZ2TFhwgQiIiIU0xPmacmyzMaNG1mzZg3R0dFiWvUxqVQqNBoNFhYW/Pzzz4wePZrGjRtz8uRJZFlmwYIFvPvuu+zZs4cvvviiweymB5FUFEV0qVMmlUpF//79+eSTT7h06RJqtRp7e3uWLVuGra0t48eP56uvvqKgoMCgpjhkWWbr1q0sX76c3bt38+yzz+o7JIOiTSxmZmZ88803HD16lOTkZA4dOsTy5csZPXo0zs7OLFq0iOjoaH2HW2dEUlGQuuhSJ1SPSqXCzc2NVatWce7cOeLi4ujVqxfBwcHY2dkxduxYdu7cyc2bNxX97yXLMqGhoSxatIjvv/+eAQMG6Dskg6RSqZBlGZVKRbt27XBycqJt27YA9O3bV9eZ1srKSp9h1imRVBSktrrUCbVDpVLRo0cPgoKCOH36NCdPnqR///5s2rSJTp064efnx/bt28nLy1NUgpFlmV27djF37lyioqIYMmSIvkMyaP97EShJkm5z7VtvvcW1a9dwcXFpMBtuRVJRkNroUifUDUmScHR0ZPHixSQlJZGSkoKHhwehoaF06dKFkSNHsnnzZrKysvSeYMLDw5k9ezbffvstHh4eeo2lvtJOjQG6420ayrpKw/gtDURtdKkT6p4kSdjb2zN//nzi4+O5ePEi3t7ehIeH07VrV4YNG8b69evJyMio8wQTFRXFm2++SVhYGCNGjKjT125otEmkoVR9aYnNjwpSW13qBGWQZZnr16/resIcO3aM3r17647st7W1rdUvoN27dzN58mRCQ0Px9/evtdcRGjYxUlGQ2upSJyiDJEnY2Ngwa9Ys1Go1GRkZTJ48GbVaTe/evRk4cCBr1qzhwoULNT6C2b9/P1OmTGHbtm2KTSjnzp3jo48+wsPDgw4dOmBqasozzzzD6NGjOXLkiL7DEx6TGKkoTG11qROUS5Zlbty4oesJc/DgQRwcHO7rCVOdEYxareall15i48aNTJgwQbHTMTY2Nly/fh1zc3OeffZZWrRowZkzZ0hOTkaSJIKDg5k9e7a+wxQeRRYU586dO/LixYvlzp07yyYmJrKVlZU8adIkOT09Xd+hCbVMo9HIN2/elP/zn//IPj4+cuPGjeWuXbvKc+fOlY8fPy7fvn1bLioqeuz/9u3bJ5uZmclbt26VNRqNvn+9h3rhhRfkXbt2yXfv3r3v9k2bNsmAbGRkJKekpOgpOuFxiZGKICjYn3/+yZ49e4iIiGDfvn1YWVnh4+PDqFGjcHFxeWhFkfb4/1WrVhEQEKDYEcrjGD58OAcOHOD9999n6dKl+g5HeAixpiIICmZubs7LL79MeHg4OTk5fPTRR2RnZ+Pt7Y2zszPz5s2rtCfMiRMn8Pf3Z9myZQafUOC/lZGZmZl6jkR4lEb6DkAQhMfTrFkzxowZw5gxYyguLubAgQNERkYybtw4GjdujI+PD35+fjRr1gxfX18WLlzIrFmzDD6hAFy5cgWAZ555Rs+RCI8ipr8EwcCVlpYSExNDZGQk3333Hbdu3WLevHmsWLGiXiSUy5cv4+zszN27d0UvIQMgkoog1CNlZWVs27aNN954o14klPLycoYOHcrRo0d56aWX+Oqrr/QdkvAIIqkIglAjxowZo2ut+7hCQ0Pp27dvlfcHBATozlJLSEjA0tKyumEKtUysqQiCUCNSU1M5f/78E/3MwxqeBQUFsWnTJqysrNi/f79IKAZCjFQEgzFkyBAOHTpU5f3R0dF4enrWYURCbdmwYQMzZszAwsKC2NhYevXqpe+QhMckRiqCwfH396/0+P927drpIRqhpn355ZfMnDmTpk2bsmfPHpFQDIxIKoLB+fjjj7G1tdV3GEIt2Lt3L6+99hrGxsZ89913onmYARKbH+sB7ca3pKQkFi9ezNmzZ/UckSA8uWPHjjFmzBgAvv76a4YNG6bniISnIUYq9YC2dHT9+vXs2LGDkpISFi5cyOnTp2natKmo6xcMgpeXF8XFxdjZ2REVFUVUVNQDjxk4cCDTpk2r++CExyaSSj2gUqlIS0sjNDQUExMTCgoK6NatGyqVipycHFq1asXrr79OYGBgvWhFvG3bNm7cuIFKpcLBwQE/Pz/RDbMeyM/PB+Dq1atcvXq1yseJpKJsIqkYMFmWkSSJ/Px8NmzYgEajoVWrVqhUKr744gsyMzNJSEggJCSE4OBgunXrptheGk9i+fLl9/353XffZfHixSxevFhPEQk1QRSi1g+ipNiAaZNKVFQUb731FqWlpezcufOBstrVq1czf/58PD092bt3r+7nDM2SJUtwcHDgueeew9ramoyMDMLDw1m+fDnFxcV8+umnvP322/oOUxAaNDFSMWCSJFFUVMS2bdvIzs5mw4YNPP/88wBoNBrKy8sxMTHh7t27AAZfmhkUFHTfnx0cHFiwYAFubm4MHz6cpUuX8vrrr9OkSRM9RSgIgqj+MlDaiq+9e/eyZ88eBg8ezOTJk2nU6N51gkqlwsTEBI1GQ2xsLACDBg0CMMhRysMMGzYMNzc3CgoKiIuL03c4gtCgiaRioIyMjKioqCA4OBiAOXPmYGpqqpuX1v4/JiYGtVpNnz596vVuc3t7ewCysrL0HIkgNGwiqRioiooKwsLCiI+Px8vLS5cwtKMQSZIoLCzk448/BtCtNWg0Gv0EXMtu3boFUC+q2wTBkImkYmC0I5AzZ87w+eef07ZtW6ZOnYqxsfF91TOyLPPNN9+gVqsZNWoUXl5eAA9tP2uo8vLyOHLkCAAuLi56jkYQGrb69w1Tz2lHIjt37kStVuPv78+QIUN092tHIikpKWzevJlWrVoxdepUzM3N9RFujYmLi0OtVj9QdpqamsqoUaMoKirCx8cHGxsbPUUoCAKI6i+DNX/+fDp16sTIkSOxsLAA7iUcbVL54osvSEhIIDAwEA8PD32GWiPOnTvH5MmTsba2xsHBgWeeeYZr166RmJhISUkJzs7ObNmyRd9hCkKDJ/ap1EM5OTl06dKF0tJSUlNTsba21ndI1Xb27FnWrVtHfHw8GRkZ3Lp1i2bNmuHo6MjYsWMJCAgQpcSCoABipGKgtNcC2ukw7YbGoqIiQkJCKCoqIjAwEGtrazQajcGvpTg6OrJx40Z9hyEIwiOIpGKgqtprEhsbq2vR+uqrr9ZxVIIgNHSGffkq6EiSRGlpKTt27CA7O5vp06fj7OwM1M+KL0EQlEmsqdQj0dHRjBw5EmdnZ5KSkjA2NtZ3SIIgNDAiqdQT2jWVAwcO0Lx5c/r27UtFRQVGRkb6Dk0QhAZEJBVBEAShxojJ9npGXCMIgqBPIqnUM/XtBGJBEAyLSCqCIAhCjRFJRRAEQagxIqkIgiAINUYkFUEQBKHGiKQiCIIg1BiRVARBEIQa838ixbNYwnAImwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "# Data for three-dimensional scattered points\n",
    "zdata = Event_Particles['pT']\n",
    "xdata = Event_Particles['eta']\n",
    "ydata = Event_Particles['phi']\n",
    "n = Event_Particles.shape[0]\n",
    "ax.bar3d(xdata,ydata,np.zeros(n),np.ones(n)*0.5,np.ones(n)*0.5,zdata)\n",
    "ax.set_xlabel('$\\eta$')\n",
    "ax.set_ylabel('$\\phi$')\n",
    "ax.set_zlabel('$p_T$ [GeV]')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(electron_out.eta(), electron_out.phi(), 'bo', label='scattered electron')\n",
    "plt.plot(photon.eta(), photon.phi(), 'go', label='virtual photon')\n",
    "A = [electron_out.eta(), photon.eta()]\n",
    "B = [electron_out.phi(), photon.phi()]\n",
    "plt.xlim(-8,4)\n",
    "plt.ylim(-np.pi, np.pi)\n",
    "plt.legend(fontsize=10, loc='lower right')\n",
    "plt.xlabel('$\\eta$')\n",
    "plt.ylabel('$\\phi$')\n",
    "for xy in zip(A, B):\n",
    "    plt.annotate('(%.2f, %.2f)' % xy, xy=xy, xytext=(0,-20), textcoords='offset points', fontsize=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.141592653589793\n"
     ]
    }
   ],
   "source": [
    "print(photon.phi()-electron_out.phi())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(electron_out.pT(), electron_out.phi(), 'bo', label='scattered electron')\n",
    "plt.plot(photon.pT(), photon.phi(), 'go', label='virtual photon')\n",
    "A = [electron_out.pT(), photon.pT()]\n",
    "B = [electron_out.phi(), photon.phi()]\n",
    "plt.xlim(0,100)\n",
    "plt.ylim(-np.pi, np.pi)\n",
    "plt.legend(fontsize=10, loc='lower right')\n",
    "plt.xlabel('$p_\\mathrm{T}$ [GeV]')\n",
    "plt.ylabel('$\\phi$')\n",
    "for xy in zip(A, B):\n",
    "    plt.annotate('(%.2f, %.2f)' % xy, xy=xy, xytext=(0,-20), textcoords='offset points', fontsize=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}