SpiNNaker/eg_persistent-network.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Persistent network\n",
    "\n",
    "- a network that fires even if the stimulus lasts few instants (aka, there's no decay...)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# fileName\n",
    "\n",
    "fileName = 'eg_persistent_network'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detected PyNN version 0.9.4 and Neo version 0.6.1\n"
     ]
    }
   ],
   "source": [
    "# libs\n",
    "\n",
    "import pyNN.spiNNaker as sim\n",
    "from pyNN import space \n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-03-11 14:52:33 INFO: Read cfg files: /home/spinnaker/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/interface/spinnaker.cfg, /home/spinnaker/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/spynnaker.cfg, /home/spinnaker/.spynnaker.cfg\n",
      "2023-03-11 14:52:33 INFO: Will search these locations for binaries: /home/spinnaker/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/common_model_binaries : /home/spinnaker/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/model_binaries\n",
      "2023-03-11 14:52:33 WARNING: /home/spinnaker/CNT-2023/SpiNNaker/reports has 31 old reports that have not been closed\n",
      "2023-03-11 14:52:33 WARNING: /home/spinnaker/CNT-2023/SpiNNaker/application_generated_data_files has 33 old reports that have not been closed\n",
      "2023-03-11 14:52:33 INFO: Setting time scale factor to 1.\n",
      "2023-03-11 14:52:33 INFO: Setting machine time step to 1000 micro-seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['/home/spinnaker/sPyNNaker/lib/python3.6/site-packages/spinn_front_end_common/interface/spinnaker.cfg', '/home/spinnaker/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/spynnaker.cfg', '/home/spinnaker/.spynnaker.cfg']\n"
     ]
    }
   ],
   "source": [
    "# simulation settings\n",
    "\n",
    "sim.setup(\n",
    "        timestep=1, # [ms]\n",
    "        min_delay=1, # [ms]\n",
    "        max_delay=100) # [ms]\n",
    "\n",
    "simtime = 250 #ms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Exc': <spynnaker8.models.populations.population.Population at 0x7f841532e798>,\n",
       " 'Inh': <spynnaker8.models.populations.population.Population at 0x7f841532e868>}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# defining the network\n",
    "\n",
    "pops = {}\n",
    "n_cells = {}\n",
    "neuron_Model = {}\n",
    "neuron_ModelPars = {}\n",
    "initial_Values = {}\n",
    "\n",
    "for popName in ['Exc', 'Inh']:\n",
    "    n_cells[popName] = 100\n",
    "    neuron_Model[popName] = sim.IF_cond_exp\n",
    "    neuron_ModelPars[popName] = sim.IF_cond_exp.default_parameters # or standard_pars or testing_pars\n",
    "    initial_Values[popName] = sim.IF_cond_exp.default_initial_values\n",
    "    pops[popName] = sim.Population(n_cells[popName], \n",
    "                                   neuron_Model[popName],\n",
    "                                   neuron_ModelPars[popName],\n",
    "                                   structure = space.Line(dx=1.0, x0=0.0, y=0.0, z=0.0),\n",
    "                                   label = popName)\n",
    "\n",
    "    pops[popName].record(['spikes','v','gsyn_exc','gsyn_inh'])   \n",
    " \n",
    "pops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# defining the list of connections\n",
    "\n",
    "def compute_manual_list(n_cells_i, n_cells_j, weights, d_thresh, p_thresh, width): \n",
    "        v_c = 0.35 #m/s\n",
    "        d0 = 1 #ms\n",
    "        scale = 1\n",
    "\n",
    "        connections = {}\n",
    "        probabilities = {}\n",
    "        distances = {}\n",
    "\n",
    "        connections = []\n",
    "        probabilities = []\n",
    "        distances = []\n",
    "        for pre in range(n_cells_i):\n",
    "            for post in range(n_cells_j):\n",
    "                d_ij = np.sqrt((pre - post)**2)\n",
    "                delay = d0 + d_ij / v_c\n",
    "                if d_ij > d_thresh: \n",
    "                    distances.append(d_ij)\n",
    "                    p_ij = scale*np.exp(-0.5 * (d_ij**2/width**2))\n",
    "                    probabilities.append(p_ij)\n",
    "\n",
    "                    if p_ij > p_thresh:\n",
    "                        connections.append([pre, post, weights, delay])#, [d_ij, p_ij]])\n",
    "\n",
    "        return connections, distances, probabilities\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# compute manual list of connections to have center-surround structure\n",
    "\n",
    "weight = {('Exc', 'Exc') : 0.08,\n",
    "          ('Exc', 'Inh') : 0.08,\n",
    "          ('Inh', 'Exc') : 0.24,\n",
    "          ('Inh', 'Inh') : 0.24          \n",
    "          }\n",
    "\n",
    "d_thresh = {('Exc', 'Exc'): 0, \n",
    "            ('Inh', 'Exc'): 2} \n",
    "\n",
    "p_thresh = {('Exc', 'Exc'): 0.1, \n",
    "            ('Inh', 'Exc'): 0.1}\n",
    "\n",
    "width = {('Exc', 'Exc'): 1,\n",
    "         ('Inh', 'Exc'): 3} \n",
    "\n",
    "\n",
    "\n",
    "connections = {}\n",
    "distances = {}\n",
    "probabilities = {}\n",
    "\n",
    "connections['Exc', 'Exc'], distances['Exc', 'Exc'], probabilities['Exc', 'Exc'] = compute_manual_list(n_cells['Exc'], \n",
    "                                                                                                      n_cells['Exc'], \n",
    "                                                                                                      weight['Exc', 'Exc'], \n",
    "                                                                                                      d_thresh['Exc', 'Exc'], \n",
    "                                                                                                      p_thresh['Exc', 'Exc'], \n",
    "                                                                                                      width['Exc', 'Exc'])\n",
    "\n",
    "connections['Inh', 'Exc'], distances['Inh', 'Exc'], probabilities['Inh', 'Exc'] = compute_manual_list(n_cells['Inh'], \n",
    "                                                                                                      n_cells['Exc'], \n",
    "                                                                                                      weight['Inh', 'Exc'], \n",
    "                                                                                                      d_thresh['Inh', 'Exc'], \n",
    "                                                                                                      p_thresh['Inh', 'Exc'], \n",
    "                                                                                                      width['Inh', 'Exc'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f8413102390>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 648x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visual check of the connections\n",
    "\n",
    "fig, ax = plt.subplots(1,2, figsize=(9,5))\n",
    "fig.tight_layout(pad=3)\n",
    "axes_list = fig.axes\n",
    "\n",
    "axes_list[0].plot(np.asarray(connections['Exc', 'Exc']).T[0], np.asarray(connections['Exc', 'Exc']).T[1],'go', label='Exc (i) - Exc (j)')\n",
    "axes_list[0].plot(np.asarray(connections['Inh', 'Exc']).T[0], np.asarray(connections['Inh', 'Exc']).T[1],'r+', label='Inh (i) - Exc (j)')\n",
    "axes_list[0].grid()\n",
    "axes_list[0].legend()\n",
    "axes_list[0].set_title('scatter plot of connections')\n",
    "axes_list[0].set_xlabel('i cells')\n",
    "axes_list[0].set_ylabel('j cells')\n",
    "axes_list[0].set_xlim(20,40)\n",
    "axes_list[0].set_ylim(20,40)\n",
    "\n",
    "axes_list[1].plot(distances['Exc', 'Exc'],probabilities['Exc', 'Exc'],'g+')\n",
    "axes_list[1].plot(distances['Inh', 'Exc'],probabilities['Inh', 'Exc'],'r+') \n",
    "axes_list[1].plot(np.arange(0, 50), 1*np.exp(-0.5 * (np.arange(0, 50)**2/width['Exc', 'Exc']**2)), 'g:')\n",
    "axes_list[1].plot(np.arange(0, 50), 1*np.exp(-0.5 * (np.arange(0, 50)**2/width['Inh', 'Exc']**2)), 'r:')\n",
    "axes_list[1].grid()\n",
    "axes_list[1].set_xlim(0,15)\n",
    "axes_list[1].set_ylim(0,1)\n",
    "axes_list[1].axhline(p_thresh['Inh', 'Exc'], color='k', label='p_threshold', )\n",
    "axes_list[1].set_title('connections as function of prob and dist')\n",
    "axes_list[1].set_xlabel('distance')\n",
    "axes_list[1].set_ylabel('probability')\n",
    "axes_list[1].legend()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# make the projections\n",
    "\n",
    "proj = {}\n",
    "\n",
    "\n",
    "\n",
    "proj['Exc', 'Exc'] = sim.Projection(pops['Exc'], \n",
    "                                    pops['Exc'],\n",
    "                                    connector = sim.FromListConnector(connections['Exc', 'Exc']),\n",
    "                                    receptor_type = 'excitatory',\n",
    "                                    space = space.Space(axes = 'x'),\n",
    "                                    label = 'exc-exc connections'\n",
    "                                    )\n",
    "\n",
    "proj['Exc', 'Inh'] = sim.Projection(pops['Exc'], pops['Inh'],\n",
    "                                    connector = sim.OneToOneConnector(), \n",
    "                                    synapse_type = sim.StaticSynapse(weight=weight['Exc', 'Inh'], delay=1),\n",
    "                                    receptor_type = 'excitatory',\n",
    "                                    space = space.Space(axes = 'x'),\n",
    "                                    label = 'exc-inh connections'\n",
    "                                    )\n",
    "\n",
    "\n",
    "proj['Inh', 'Exc'] = sim.Projection(pops['Inh'], pops['Exc'],\n",
    "                                    connector = sim.FromListConnector(connections['Inh', 'Exc']),\n",
    "                                    receptor_type = 'inhibitory',\n",
    "                                    space = space.Space(axes = 'x'),\n",
    "                                    label = 'inh-exc connections'\n",
    "                                    )\n",
    "\n",
    "proj['Inh', 'Inh'] = sim.Projection(pops['Inh'], pops['Inh'],\n",
    "                                    connector = sim.OneToOneConnector(), \n",
    "                                    synapse_type = sim.StaticSynapse(weight=weight['Inh', 'Inh'], delay=1),\n",
    "                                    receptor_type = 'inhibitory',\n",
    "                                    space = space.Space(axes = 'x'),\n",
    "                                    label = 'inh-inh connections'\n",
    "                                    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56,\n",
       "       57, 58, 59])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make the thalamic input sources\n",
    "\n",
    "popName = 'Thalamus'  \n",
    "\n",
    "n_cells[popName] = n_cells['Exc']\n",
    "spike_times = [[]]*n_cells[popName] #list of spike lists, where one spike list is related to one spike source\n",
    "#random_sources_idx = [np.random.randint(n_cells[popName]*0.40, n_cells[popName]*0.60) for i in range(n_cells[popName])]\n",
    "random_sources_idx = np.arange(int(n_cells[popName]*0.40), int(n_cells[popName]*0.60))\n",
    "\n",
    "for idx, sources in enumerate(random_sources_idx):\n",
    "    spike_times[sources] = np.sort([abs(np.random.normal(loc=100, scale=25)) for n in range(5)])\n",
    "\n",
    "\n",
    "neuron_Model[popName] = sim.SpikeSourceArray(spike_times)\n",
    "\n",
    "\n",
    "pops[popName] = sim.Population(n_cells[popName], \n",
    "                           neuron_Model[popName],\n",
    "                           label = popName)\n",
    "\n",
    "proj['Thalamus', 'Exc'] = sim.Projection(pops['Thalamus'], \n",
    "                                         pops['Exc'],\n",
    "                                         connector = sim.OneToOneConnector(),\n",
    "                                         synapse_type = sim.StaticSynapse(weight=0.08, delay=1),\n",
    "                                         receptor_type = 'excitatory',\n",
    "                                         label = 'thalamus-exc connections')\n",
    "\n",
    "fig, axes = plt.subplots(1,1)\n",
    "axes_list = fig.axes\n",
    "axes_list[0].eventplot(spike_times)\n",
    "axes_list[0].set_xlabel('[ms]')\n",
    "axes_list[0].set_ylabel('thalamic spike sources')\n",
    "axes_list[0].set_title('rasterplot of spike sources')\n",
    "axes_list[0].set_xlim(0, simtime)\n",
    "\n",
    "random_sources_idx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-03-11 14:52:34 INFO: Simulating for 250 1.0ms timesteps using a hardware timestep of 1000us\n",
      "2023-03-11 14:52:34 INFO: Starting execution process\n",
      "2023-03-11 14:52:37 INFO: Time 0:00:03.119603 taken by SpallocMaxMachineGenerator\n",
      "Pre allocating resources for Extra Monitor support vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:52:46 INFO: Time 0:00:08.238141 taken by PreAllocateResourcesForExtraMonitorSupport\n",
      "Partitioning graph vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Partitioning graph edges\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:52:50 INFO: Time 0:00:04.878035 taken by PartitionAndPlacePartitioner\n",
      "Created spalloc job 7064704\n",
      "2023-03-11 14:52:50 INFO: Created spalloc job 7064704\n",
      "Waiting for board power commands to complete.\n",
      "2023-03-11 14:52:50 INFO: Waiting for board power commands to complete.\n",
      "2023-03-11 14:52:59 INFO: Time 0:00:08.940118 taken by SpallocAllocator\n",
      "2023-03-11 14:52:59 INFO: Creating transceiver for 10.11.193.1\n",
      "2023-03-11 14:52:59 INFO: Working out if machine is booted\n",
      "2023-03-11 14:53:03 INFO: Attempting to boot machine\n",
      "2023-03-11 14:53:09 INFO: Found board with version [Version: SC&MP 3.2.5 at SpiNNaker:0:0:0 (built Thu Aug  1 08:15:06 2019)]\n",
      "2023-03-11 14:53:09 INFO: Machine communication successful\n",
      "2023-03-11 14:53:09 INFO: Detected a machine on IP address 10.11.193.1 which has 856 cores and 120.0 links\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:09.635802 taken by MachineGenerator\n",
      "Generating partitioner report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.009686 taken by PartitionerReport\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.000437 taken by NetworkSpecificationReport\n",
      "Allocating virtual identifiers\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.029542 taken by MallocBasedChipIDAllocator\n",
      "Inserting extra monitors into graphs\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.027325 taken by InsertExtraMonitorVerticesToGraphs\n",
      "Writing the board chip report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.023962 taken by BoardChipReport\n",
      "Filtering edges\n",
      "|0%                          50%                         100%|\n",
      " =======================================================/home/spinnaker/sPyNNaker/lib/python3.6/site-packages/spynnaker/pyNN/models/neural_projections/connectors/from_list_connector.py:129: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
      "  sort_indices, numpy.cumsum(index_count)))\n",
      "=====\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.065470 taken by GraphEdgeFilter\n",
      "Placing graph vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.039896 taken by OneToOnePlacer\n",
      "Inserting edges between vertices which require FR speed up functionality.\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.052495 taken by InsertEdgesToExtraMonitorFunctionality\n",
      "Generating routing tables for data in system processes\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.006165 taken by DataInMulticastRoutingGenerator\n",
      "Generating fixed router routes\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.010470 taken by FixedRouteRouter\n",
      "Generating placement report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Generating placement by core report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.074688 taken by PlacerReportWithApplicationGraph\n",
      "Routing\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.037123 taken by NerRoute\n",
      "Discovering tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Allocating tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.045079 taken by BasicTagAllocator\n",
      "Reporting Tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.004961 taken by TagReport\n",
      "Getting number of keys required by each edge using application graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.031337 taken by EdgeToNKeysMapper\n",
      "Getting constraints for application graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.026410 taken by ProcessPartitionConstraints\n",
      "Allocating routing keys\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:09 INFO: Time 0:00:00.008674 taken by MallocBasedRoutingInfoAllocator\n",
      "Generating Routing info report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:10 INFO: Time 0:00:00.033758 taken by routingInfoReports\n",
      "Generating routing tables\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:10 INFO: Time 0:00:00.036402 taken by BasicRoutingTableGenerator\n",
      "Finding executable start types\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:10 INFO: Time 0:00:00.028357 taken by LocateExecutableStartType\n",
      "Initialising buffers\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:10 INFO: Time 0:00:00.031683 taken by BufferManagerCreator\n",
      "Generating data specifications\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:10 INFO: Time 0:00:00.117719 taken by SpynnakerDataSpecificationWriter\n",
      "Preparing Routing Tables\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:10 INFO: Time 0:00:00.007483 taken by RoutingSetup\n",
      "Finding binaries\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:10 INFO: Time 0:00:00.032760 taken by GraphBinaryGatherer\n",
      "Running routing table compression on chip\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:14 INFO: Time 0:00:04.534327 taken by MundyOnChipRouterCompression\n",
      "Generating Router table report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:14 INFO: Time 0:00:00.007251 taken by unCompressedRoutingTableReports\n",
      "loading fixed routes\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:14 INFO: Time 0:00:00.050619 taken by LoadFixedRoutes\n",
      "Executing data specifications and loading data for system vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:15 INFO: Time 0:00:00.165216 taken by HostExecuteSystemDataSpecification\n",
      "Loading system executables onto the machine\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:20 INFO: Time 0:00:05.721519 taken by LoadSystemExecutableImages\n",
      "Clearing tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Loading Tags\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:20 INFO: Time 0:00:00.019611 taken by TagsLoader\n",
      "Writing data\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:20 INFO: Time 0:00:00.051236 taken by WriteMemoryIOData\n",
      "Executing data specifications and loading data for application vertices\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:23 INFO: Time 0:00:02.185437 taken by HostExecuteApplicationDataSpecification\n",
      "Expanding Synapses\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:23 INFO: Time 0:00:00.542849 taken by SynapseExpander\n",
      "Writing fixed route report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:23 INFO: Time 0:00:00.043724 taken by FixedRouteFromMachineReport\n",
      "Loading executables onto the machine\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:33 INFO: Time 0:00:09.578119 taken by LoadApplicationExecutableImages\n",
      "Reading Routing Tables from Machine\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:33 INFO: Time 0:00:00.013320 taken by RoutingTableFromMachineReport\n",
      "Generating compressed router table report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:33 INFO: Time 0:00:00.008007 taken by compressedRoutingTableReports\n",
      "Generating comparison of router table report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:33 INFO: Time 0:00:00.009146 taken by comparisonOfRoutingTablesReport\n",
      "2023-03-11 14:53:33 INFO: Running for 1 steps for a total of 250.0ms\n",
      "2023-03-11 14:53:33 INFO: Run 1 of 1\n",
      "Generating SDRAM usage report\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:33 INFO: Time 0:00:00.108886 taken by SdramUsageReportPerChip\n",
      "Updating run time\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:33 INFO: Time 0:00:00.027247 taken by ChipRuntimeUpdater\n",
      "2023-03-11 14:53:33 INFO: creating live event connection database in /home/spinnaker/CNT-2023/SpiNNaker/application_generated_data_files/2023-03-11-14-52-33-753950/run_1/input_output_database.db\n",
      "Creating graph description database\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:33 INFO: Time 0:00:00.060360 taken by DatabaseInterface\n",
      "2023-03-11 14:53:33 INFO: ** Notifying external sources that the database is ready for reading **\n",
      "2023-03-11 14:53:33 INFO: Time 0:00:00.000787 taken by NotificationProtocol\n",
      "2023-03-11 14:53:33 INFO: *** Running simulation... *** \n",
      "Loading buffers\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:33 INFO: ** Awaiting for a response from an external source to state its ready for the simulation to start **\n",
      "2023-03-11 14:53:33 INFO: ** Sending start / resume message to external sources to state the simulation has started or resumed. **\n",
      "2023-03-11 14:53:33 INFO: ** Awaiting for a response from an external source to state its ready for the simulation to start **\n",
      "2023-03-11 14:53:33 INFO: Application started; waiting 0.35s for it to stop\n",
      "2023-03-11 14:53:33 INFO: ** Sending pause / stop message to external sources to state the simulation has been paused or stopped. **\n",
      "2023-03-11 14:53:33 INFO: Time 0:00:00.450329 taken by ApplicationRunner\n",
      "Extracting buffers from the last run\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:34 INFO: Time 0:00:00.247462 taken by BufferExtractor\n",
      "Getting provenance data from machine graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting provenance data from application graph\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:34 INFO: Time 0:00:00.088372 taken by GraphProvenanceGatherer\n",
      "Getting provenance data\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:34 INFO: Time 0:00:00.034270 taken by PlacementsProvenanceGatherer\n",
      "Getting Router Provenance\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:34 INFO: Time 0:00:00.285506 taken by RouterProvenanceGatherer\n",
      "Getting profile data\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:34 INFO: Time 0:00:00.032934 taken by ProfileDataGatherer\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "250.0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# run simulation\n",
    "\n",
    "sim.run(simtime) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Getting spikes for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting v for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_exc for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_inh for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting v for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_exc for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_inh for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting v for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_exc for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_inh for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting v for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_exc for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_inh for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting v for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_exc for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_inh for Exc\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting v for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "2023-03-11 14:53:34 WARNING: Warning getting data on a whole population when selective recording is active will result in only the requested neurons being returned in numerical order and without repeats.\n",
      "Getting gsyn_exc for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_inh for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting v for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_exc for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_inh for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting v for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_exc for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_inh for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting v for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_exc for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_inh for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting spikes for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting v for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_exc for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n",
      "Getting gsyn_inh for Inh\n",
      "|0%                          50%                         100%|\n",
      " ============================================================\n"
     ]
    }
   ],
   "source": [
    "# save the results\n",
    "outputs = {}\n",
    "\n",
    "for layer in ['Exc', 'Inh']:\n",
    "    outputs[layer] = pops[layer].get_data()\n",
    "    for recording in ['v', 'gsyn_inh', 'gsyn_exc', 'spikes']:\n",
    "        pops[layer].write_data(fileName + '_' + str(layer) + '_' + str(recording) + '.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "v\n",
      "gsyn_exc\n",
      "gsyn_inh\n",
      "v\n",
      "gsyn_exc\n",
      "gsyn_inh\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "dict_keys([('Exc', 'v'), ('Exc', 'gsyn_exc'), ('Exc', 'gsyn_inh'), ('Exc', 'spikes'), ('Inh', 'v'), ('Inh', 'gsyn_exc'), ('Inh', 'gsyn_inh'), ('Inh', 'spikes')])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check results\n",
    "\n",
    "def recover_results(outputs):\n",
    "    results = {}\n",
    "    for key in outputs.keys(): # to extract the name of the layer, e.g., Exc, Inh, Thalamus, etc  \n",
    "        \n",
    "        # to get voltage and conductances\n",
    "        for analogsignal in outputs[key].segments[0].analogsignals:\n",
    "            print(analogsignal.name)\n",
    "            results[key, analogsignal.name] = analogsignal\n",
    "\n",
    "        # to get spikes\n",
    "        results[key, 'spikes'] = outputs[key].segments[0].spiketrains\n",
    "    return results\n",
    "\n",
    "results = recover_results(outputs)\n",
    "results.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 648x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# check the spikes\n",
    "\n",
    "fig, axes = plt.subplots(2, 1, figsize=(9,9))\n",
    "fig.tight_layout(pad=5)\n",
    "axes_list = fig.axes\n",
    "\n",
    "for idx, value in enumerate(['Exc', 'Inh']):\n",
    "    axes_list[idx].eventplot(results[value, 'spikes'])\n",
    "    axes_list[idx].eventplot(spike_times, color='r')\n",
    "    axes_list[idx].set_title('rasterplot of ' + str(value) + ' layer')\n",
    "    axes_list[idx].set_xlabel('[ms]')\n",
    "    axes_list[idx].set_ylabel('cells')\n",
    "    axes_list[idx].set_xlim(0, simtime)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 648x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# check the voltage\n",
    "\n",
    "fig, axes = plt.subplots(2, 1, figsize=(9,9))\n",
    "fig.tight_layout(pad=4)\n",
    "\n",
    "axes_list = fig.axes\n",
    "\n",
    "for idx, value in enumerate(['Exc', 'Inh']):\n",
    "    im = axes_list[idx].imshow(results[value, 'v'].T)\n",
    "    axes_list[idx].set_title('voltage of ' + str(value) + ' layer')\n",
    "    axes_list[idx].set_xlabel('time [ms]')\n",
    "    axes_list[idx].set_ylabel('cells')\n",
    "    fig.colorbar(im, ax=axes_list[idx], fraction=0.010, label='[mV]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAm4AAAJaCAYAAACWQ8uoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeZRk2V3Y+e/v3vdiz7Wquqp3tURrAaFtelrNOmCBtRywmDFgEOgIDljmDBhm2AZjwzAs58AxYMMYY8tmkSVsjQZhLIMAAQNiNbTaSCC1kNT7vlRVVm6REfHevb/5474XGZGZVZVVlVlVUfX7nBMn8xfvRcSNd3P5xV1FVTHGGGOMMVc/d6ULYIwxxhhj9scSN2OMMcaYGWGJmzHGGGPMjLDEzRhjjDFmRljiZowxxhgzIyxxM8YYY4yZEZa4GWNmgoi8QERURLIrXRZjjLlSLHEzxhwIEXlERLZEZGPi9q+udLmMMeZaYp9cjTEH6ctV9feudCEOiogIIKoar3RZjDEGrMXNGHMZiMjPi8j7JuKfEJHfl8SLyPeLyIMisi4i94nIrft4zm8UkU9Uj3lIRP7RxLGPiciXT8S5iJwUkVdX8T0i8mcickZEPioiXzRx7h+KyI+JyJ8CfeCFB3QZjDHmklmLmzHmcvgu4CMi8g3Ag8A3Aa9SVRWR7wS+FngT8CngFaSE6XyeA74MeAj4QuC3ROReVf3vwH8Avh74r9W5bwKeVtW/EpGbgd8E3gr8NvA64H0i8lJVfb46/63AG4FPAnJJ79wYYw6QtbgZYw7Sr1etWPXtHwKoap+UDP008G7gH6vqE9Vjvhn4Z6r6SU0+qqqnzvdCqvqbqvpg9ZgPAR8EvqA6/G7gTSIyX8VvBd5Vff/1wAdU9QOqGlX1d4EPk5K72i+r6sdVtVTV4qKvhjHGHDBL3IwxB+krVHVx4vbv6gOq+hek1jEB3jvxmFtJrXAXRETeKCL/TUROi8gZUuJ1tHqtp4A/Bf6+iCySWs9+pXro7cBXTSaYwOcDN048/eMXWh5jjLkcLHEzxlwWIvKtQBN4CvjeiUOPAy+6wOdqAu8DfhI4rqqLwAeY7tZ8J6l17auAP1fVJyde7107Esyuqv74xGP1QspjjDGXiyVuxphDJyIvBn6UlEi9FfheEXlVdfjfAz8iIndWkxVeISJHzvOUDVIS+DxQisgbgb+745xfB14DfAdpzFvt3cCXi8jrq4kRLRH5IhG55ZLepDHGXAaWuBljDtJ/3bGO23+uFsx9N/AT1fi1TwPfD7yrajn7aVLX6QeBNeAXgPa5XkRV14Fvrx63ArwFeP+Oc7ZIrXJ3AL82cf/jwJurMjxPaoH7HuzvoTFmBoiq9QgYY65NIvKDwItV9euvdFmMMeYg2HIgxphrkogsk5YdeeuVLosxxhwU6xowxlxzqmVIHgd+S1X/6EqXxxhjDop1lRpjjDHGzAhrcTPGGGOMmRGWuBljjDHGzAhL3IwxxhhjZoQlbsYYY4wxM8ISN2OMMcaYGWGJmzHGGGPMjLDEzRhjjDFmRljiZowxxhgzIyxxM8YYY4yZEZa4GWOMMcbMCEvcjDHGGGNmhCVuxhhjjDEzwhI3Y4wxxpgZYYmbMcYYY8yMsMTNGGOMMWZGWOJmjDHGGDMjLHEzxhhjjJkRlrgZY4wxxswIS9yMMcYYY2aEJW7GGGOMMTPCEjdjjDHGmBlhiZsxxhhjzIywxM0YY4wxZkZY4maMMcYYMyMscTPGGGOMmRGWuBlj9kVEXiMifyUi6yLy/4rI/yMiPyoiR0XkN0TkjIicFpE/FhEnIt8jIu/b8Rw/KyI/U33/hyLyIyLyp9VzflBEju6jHPeIyJ9Vr/dREfmi6v7PFZGTInJrFb9SRFZE5KVV/PkTj3tcRL7hoK+RMcYcNkvcjDHnJSIN4D8DvwwsA/8J+J+rw98FPAEcA44D3w8o8G7gDSKyWD1HBnwN8B8mnvotwDcCNwAN4LvPU46bgd8EfrQqx3cD7xORY6r6Z8C/Bd4pIu3q9X9AVf9WRG4Hfgv4v6tyvgr4yEVeDmOMuWIscTPG7Mc9QAb8rKoWqvprwF9WxwrgRuD26tgfa/I08EfAV1XnvQE4qar3TTzvL6nqp1R1C3gvKaE6l68HPqCqH1DVqKq/C3wYeFN1/IeAhapsTwI/V93/FuD3VPU/VWU8paqWuBljZo4lbsaY/bgJeFJVdeK+x6uv/xx4APigiDwkIt83cc47SckW1dd37XjeZya+7wO985TjduCrqu7OMyJyBvh8UuKIqhakVsGXAz81Ud5bgQfP89zGGHPVs8TNGLMfTwM3i4hM3HcrgKquq+p3qeoLgb8HfKeIvK4659eBV4jIy4EvA37lEsvxOPAuVV2cuHVV9cdh3JX6fwK/BPyUiDQnHveiS3xtY4y54ixxM8bsx58DAfg2EclE5M3A3QAi8mUi8hlVUrdanRcBVHUA/CrwH4G/VNXHLrEc7wa+XEReLyJeRFoi8kUickv1+r8M/ALwTaRk80eqx/0K8CUi8tVV+Y+IyPm6ZY0x5qpjiZsx5rxUdQT8L6SE6Ayp2/M3gCFwJ/B7wAYpwfvXqvoHEw9/J/DZ7O4mvZhyPA68mTQB4nlSS9r3kP6WfTtpksMPVF2k3wh8o4h8QZUwvok0keI0aWLCKy+1PMYYc7nJ9JAVY4zZHxH5C+DfqOovnee824C/BU6o6tplKZwxxlyjrMXNGLMvIvI/iciJqqvxbcArgN8+z2Mc8J3AeyxpM8aYS5dd6QIYY2bGS0hLdnSBh4CvrJb82JOIdIFngUdJS4Hsi4h8HWk9tp0eVdXPuqASG2PMNeaKdJWKyBuAnwE88O/rGWHGGGOMMebsLnviJiIe+BTwpaTV1u8FvlZV77+sBTHGGGOMmTFXoqv0buABVX0IQETeQ5oldtbErSFNbdG9TMUzxhhjzOWyzspJVT12pcsxK65E4nYz2yuuQ2p1e+3Ok0Tk7cDbAVp0eO14PU9jjDHGXCt+T3/10Stdhlly1c4qVdV3qOpdqnpXTvP8DzDGGGOMucZdicTtSaqtciq3VPcZY4wxxphzuBKJ273AnSJyh4g0gK8B3n8FymGMMcYYM1Mu+xg3VS1F5NuA3yEtB/KLqvrxy10OY4wxxphZc0UW4FXVDwAfuBKvbYwxxhgzq67ayQnGGGOMMWaaJW7GGGOMMTPCEjdjjDHGmBlhiZsxxhhjzIywxM0YY4wxZkZY4maMMcYYMyMscTPGGGOMmRGWuBljjDHGzAhL3IwxxhhjZoQlbsYYY4wxM8ISN2OMMcaYGWGJmzHGGGPMjLDEzRhjjDFmRljiZowxxhgzIyxxM8YYY4yZEZa4GWOMMcbMCEvcjDHGGGNmhCVuxhhjjDEzwhI3Y4wxxpgZYYmbMcYYY8yMsMTNGGOMMWZGWOJmjDHGGDMjLHEzxhhjjJkRlrgZY4wxxswIS9yMMcYYY2aEJW7GGGOMMTPCEjdjjDHGmBlhiZsxxhhjzIywxM0YY4wxZkZY4maMMcYYMyMscTPGGGOMmRGHlriJyK0i8gcicr+IfFxEvqO6f1lEfldEPl19XTqsMhhjjDHGXEsOs8WtBL5LVT8TuAf4VhH5TOD7gN9X1TuB369iY4wxxhhzHoeWuKnq06r636vv14FPADcDbwbeWZ32TuArDqsMxhhjjDHXkuxyvIiIvAB4NfAXwHFVfbo69Axw/CyPeTvwdoAWncMvpDHGGGPMVe7QJyeISA94H/C/qera5DFVVUD3epyqvkNV71LVu3Kah11MY4wxxpir3qEmbiKSk5K2X1HVX6vuflZEbqyO3wg8d5hlMMYYY4y5VhzmrFIBfgH4hKr+9MSh9wNvq75/G/BfDqsMxhhjjDHXksMc4/Z5wFuBvxGRj1T3fT/w48B7ReSbgEeBrz7EMhhjjDHGXDMOLXFT1T8B5CyHX3dYr2uMMcYYc626LLNKjTHGGGOutNd/cVdPnQ5T993318PfUdU3XKEiXTBL3IwxxhhzXTh5uuTPfvvmqftaNz189AoV56JY4maMMcaY64ICJeG8513NLHEzxhhjzHVBUQqNV7oYl8QSN2OMMcZcFyIwUGtxM8YYY4y56ilKsfeGTTPDEjdjjDHGXBdUhYGebaWy2WCJmzHGGGOuCwoUlrgZY4wxxlz9UuJ2qNu0HzpL3IwxxhhzXYgIA53t1Ge2S2+MMcYYs0+KMFJ/pYtxSSxxM8YYY8x1Iaow0PxKF+OSWOJmjDHGmOuCAgXW4maMMcYYc9VThMLGuBljjDHGXP0UYRCtq9QYY4wx5qoXr4HJCbO9mIkxxhhjzD6pQqHZ1G0/ROQNIvJJEXlARL5vj+O3icgfiMhfichfi8ibDrzwFWtxM8YYY8x1QbnwWaUi4oGfA74UeAK4V0Ter6r3T5z2z4D3qurPi8hnAh8AXnAwpZ5mLW7GGGOMuS6kyQl+6rYPdwMPqOpDqjoC3gO8eddTw3z1/QLw1IEVegdrcTPGGGPMdSEiDHdPTjgqIh+eiN+hqu+YiG8GHp+InwBeu+M5fgj4oIj8Y6ALfMnBlHg3S9yMMcYYc11Qlb1a2U6q6l2X+NRfC/yyqv6UiHwO8C4Rebmqxkt83l0scTPGGGPMdSFtMn/Bs0qfBG6diG+p7pv0TcAbAFT1z0WkBRwFnru4kp6djXEzxhhjzHWhXsdt8rYP9wJ3isgdItIAvgZ4/45zHgNeByAiLwNawPMHWPQxa3EzxhhjzHVBEcoLbHFT1VJEvg34HcADv6iqHxeRHwY+rKrvB74L+Hci8r+TGva+QVX1gIsPWOJmjDHGmOuEKhTxwjsbVfUDpCU+Ju/7wYnv7wc+75ILuA+WuBlznZBmExFh/CEwpq/SyME5iNUYWlWIEWk0wAlERVXTeSIQImiELANx6XtVcB7xDq2Pe7/9eiGk2Dk0RoiKeAci07H3EAIa4sXHMaJlOHccIyIyFQNIlh1s7NI/iKnYObQsDzQmhFRHFxKHiGR+Oj7MOtjjmp8vtjq5Duok6iGMAju7NKt0tlOf2S69MWZ/nMfN9ZA8R8uQEqsQwQkyP4fmGVKUKQErAwA610G9R4oSUSV2W2jucKMAMRI7DWLm8MMqbuXE3OGGAVdGQitL8SjFsekJucMPI1LFsZEeL0UkNlLsRhE3CsSGJzQdfhRxo0jMHaHpcIXih2H/cam4YUCz6RgvlC2PBMUPLiIWoex4RMFvpWsW2qkL5kJiFcj6AVQJLY96IRsECPuPp65pto94FKeuuR8G3CgSmueOY8MRmh43iukanyN2o93XfL+x1cn1UydymRM3LqKr9GpjiZsxs0AktYDVqtYynKRPr3WLmXO4bmeqJYsYwHk4tkTMHFKE7cd7R+g20/2qqeVLQQVCJ0e9ICGdG1oedSARJCqh4dAMpExxbAjRCy5kSICYC9FTxVrFkv4hBCVmQswEV/p0fsb49VzIiZ50PIArdUecnTWWmGJ1+4wVXLE7RiDk+439OAbwRfrHcM5Y0zVSAT+3I955fEfsSo/EyVhTnAnqwRUXGJfpH+3OWL0Qs7PF2TiW4NM13Rm7VEYJnD22Orm+6+RQRoGdXVRhGGY79Znt0htznRDvcYsLqeux7ooMEbyDxfmU2JUBzTzDWxaJuUufZkPEDUtwjv5NbWImZFsRiRCagjpJ/2hclTi5lGwhoD4lcOqq2En6Kkx9Jf0N3o6ZiMdvYMfXPeg5jp39wjD9h79+Dt3xWueLjTHXBQVKne0FNSxxM+ZKmmxJq8d55XkaV5JXv54hpPFkc13UpXFhY07QZo6KIKpo7inbqasm+vQpV8oMnFC2XJWcOUTTp97607O6lKghbCdudaJW/Y0b/62T6SRtZ8I2dT+779/LRSVt53re8722JW3GXJ9UKKN1lRpjLpJkOX5pEWA8MFnne2ieEXsNiJrGpYgQunkab9LyqIfQSN2bfisN+I0NN75/rxa0mKWvIyeoyHgVR3XTrWfjJGrH91Nf2X9idklJmTHGHKAIjCxxM8bscr6WtKipuzNvoL1OGqMGqHepBS33FL08DegdVJMFMkfMhLLttrsvEWKv+iMkEL0wmkstaFJ1IaYu0SqBchBzqjE46XjZSvdLFccmqFNcIaAQmop68COBCLGKpQAXhNDQaowOSBDiVAyxkZJDKdNrxkZq1XNluk/zKg7pOfeMM8WVMhVLKbgCNIOYV3GZWg73jEN1/s64uiYSmY4V3Og8cVFd48a54/qa+9G5Y1ekcsTGjjhPr3vO2Kc6S+MLd8QZaLaPuBSk3B1rNlEHE/H4Gu+Mz1YHVidWJzvi8R+qy0QRyotYDuRqcuiJm4h44MPAk6r6ZSJyB/Ae4AhwH/BWVR0ddjmMuZxcs4lbXABAyxJpNtFeZ9ySJkGRUZla0DoNNBNC04Mq2SAQmp6to+nXM+97pEwJXMwdo54DgbwfiV4YLKUuzXwzJTybNwmaKfla6iot5iD67UkHZVdBoLHqIMLgRAm54s9kuADFsQLXDOhKAykEPToib5YMVlrISHBHh7RaBZun28jQky0P6LRHrJ/poFuefGnAXGfImTNdtJ+RLw6Y7w44s9ql2MjJFwcs9QasrHUIa41xfGatQ7Gek8+PWJ7vc2atw2itQTZXsLywyZn1NqPV5jhe22wxPNPC91K83m8xWGnhuyXLixvj2HVKjixtsLHVZOt0G9cuWV7apD/M6Z/uIM3AkeUNtkY5m6e240GRsXGqg+SRpeUNiuBZP9lFMmXpyDpl8Kyd6oJTlo5sEKKbilWFM6d6ACwe2UBEWTnVgyjMH9nEuzgVZz6wcmoOLYW5o5vkPrByuocWjt6RPq285NTpHjr0dI/0aTcKTq90iYOMznKfbmvEqdM94lZGe3mLXnvIqZUesZ/RWhow1xlw+kyPsDkRr3YJGznNqo5WqjpqLAxZmutzerXLaL1BPj/k6Hyf02sdRmtN8rkRRxc2WVnvpDrp7a9OxnVQ1cnmoEH/dAfXKjmyvB1bnVw/ddLIAg9fxr/Nqtbith/fAXwCmK/inwD+haq+R0T+DWl/r5+/DOUw5tI5j9QtZrC9JhKkvwgiSJ4hrRY61wXV8aQBMg+ZS61qTiFL66SFpkN9momGF4ZLOaHhGM6nPsaymWaruZBa3OoWteFi6jItOunlQyslbsWcor76FKtC2YvjiQaIou0IoozI0vPOF2R5YKQQopB3RzQagX4UYhB6cwNaecmqQig9870tOo0i/QEc5izO9+k2RigwbOcszfVZaA5QFbZa2zFAv9lksddnqbWFiLLRKFnobnGk3ce7yHqzyXxnMI7XGi3mOwOOddI/zTN5YK495IbuBg0fWPGRxe4Wt86dYaXV4blGj25zxInuGqutNs/lPTrNETd211hvtXg2C3QaBSe662y2GzzrI80scOPcGltlzrMukvuJWLSK1ylCqufMRY730j8gBbwoJ+bWCROf4m/obQBpBhvA8bn16kdECCqcmFvHu7hnXEbH8bkNmr5MG2IHzw1zG7SzgqgwKrNd8dHeJt18lK55N+dob5P5+pp3GtNxu8Fyt89iawsnykaryWJni+W6DlqtqXi12Wahs11Hq43AXDvVSeZiVScpbmUlp7NIr5XqqJWVnPaRTnPEid46a3nBSafjeL3R5HmBdqPghu4Gm40GJ53SyEqO99bZKnOek+kYIPeB470NiuofsBc9a53U81DOVif1ObNSJyLKerN1zdRJw4cL+xt8ia6FFjc5pB0Z0pOL3AK8E/gx4DuBLyft3XWi2kLic4AfUtXXn+t55mVZXyuvO7RyGrNfrtPBzc+NF5WVVgvttlOCVpRoIyd2mmjTE1ppGQw3LJGoSFGtidTO0TytraSeiTWSImXXs3abJ7SqBExSd6N6CJ2JOFeyowPEKWXh0Sjo0IMovpP6PMMw/QHNWyXORxqNEi9Kq5H6KTYGTQBuXTxDJxtxcqtHER2trCR3gcxFnCgtX5BJ+t5JpOkCTtK4Oi9KJgE30d2RT8RRZRzX/zCdKL56fFCHl4hDidUgOUc6HtQRkbPG9eOP5uvcmp8i4hjEnFAN3ivUM9Ltz6ZRhWIiDghxx+yyevPp+v0V1UKdk69Xx3V56jIDFxUHdeQSpuLJa2Lx7rj+ObuUuH7Ous4vNr5arsmVji+2TgB+4LN/8z5VvYvLYO4lJ/TV//qtU/f98Zf85GV7/YNw2C1u/xL4XmCuio8AZ1S1Gk3DE8DNez1QRN4OvB2gReeQi2lMpWpRS2PRcojVrgA+7QpAswmt5vaqE3mWFq+NMSVzmUdzl2Z5BgWX1kMTVaTMquU3HDEXyk4aq5bWOBLUC2VrezzaeMKASzf16fk0S9+rCoKSN1IrQCmpC7TVKhBRhi4DFZqtAidKu1GQuch8c0DmIq0s/RouN/u0fUrmyuhp+BInSsOVVWIWcRLJq69OFE+dyKXvgXGyVic5dXJSx+NLPLl+h0DLFeM/4JASqp12JliT0j8DR1CXEi6FgMMRaUhJUJdiUXKqpBaHA+KORaTcjrJ6N318spy5hD3LamZL/TNxsbGZLXWL6Sw7tMRNRL4MeE5V7xORL7rQx6vqO4B3QGpxO+DiGbMn127h5nrQbqGdVtpFIARoNojtHELVctb0xFaOhJgWtC0lLSmWezRzSFRcf0ToNBgem15MNtuKhKawtZwSt3rZjXoWZ1r4MrWsUcUqQBRwirYCCJQbOeSRxeVNnIts+QbOKbctrZC5yOmtDkGFVlaSuUjTl7R8wR3dU/T8cPye68Tq9vaOa3GWlTF3JmIXfa2r5zmarXFDtk4gtYilRCu1ho2q1o06Matb0+rWu4CjUM+TxdL4eSeTvJ2J1bkSwLM9xhhz7VCYGtYwiw6z9J8H/D0ReYQ0GeHvAD8DLIpInTDeAjx5iGUwZn+cR/IG0mpCs4FmvloyQ9K6aapImZI0KUqkjGzvXuDQ6lafBxAbacunOjlTn8aghaaklcMFNBPKDuNbaDFeyiO0ILR0PFsNn8auSRbTrRFxWSRUSUyvPWShs0XDBRquZLG1xVJri3ZW0M4KjrfWOdFap+eHtFzBQtZnOdtMXZkoPT9gwW+N4+Vsg+P5KnN+QMcPWc42OJqv03QFTiIdN2LB98etUE1X0PMDXNWNmEug40ZnjT1KS0oijrXYYhDTLNxCPeuhzUg9XpRCMzZjk4CjISVRhX5sUmg2fu1+bFCoH7f+1XF9fBjzcewkMohpXM5ytjEucy6Bnh8w59K4I48y5wZ03PbcqY4bpTKrI6qjJWVq8aviXAK5BIqYUcTsgmOP7hlHdQxjfskxsK+4vmbni+v3fKmxR/cV19dsr3jymu6ML+aa7xVPXtOd8UHXwfVSJ/V7uGwUQjWOsb7NmkNL3FT1n6jqLar6AuBrgP9PVb8O+APgK6vT3gb8l8MqgzH75dot/JElZGGeONeFPENGBRRlStQ2t3AnV3Era3BmDbe6SbY2QKo9MTV3kKXEzW8MISrDI01GCxnR192faZeC4Zyj6KSlNmIOg2PK1g3KYFkZLaRELbSAmwboiSFlNxK6EW0FpBXIGoFGq6C32Kc7N2A0yhiVGZ995Gn+h6OP0/Cphe0VC0/ymqXHOd5e51hzgy9d+jhvXPooC1kfJ5Gb8hVubzyPk0hEOJatc1O+AqTk6aXNp/nc9kPc2jjFou9zZ/MZXtF8nMUqWbspX+GFjefouCFBHct+g1vzU7SkZKgZC77PTfkKuQT6sUHTFRzPz+BRVkObXALHsjVOlz0+snk7TxVLjNTzTLnApwYnOFnO44msxxaPDI6OHzPQnKdHC/Rjg64bUqjnudE8/dBkzg8ICCeLHv3YYM5t4VFOFj2GMWfBb+JRVsoOTiKvaj7OS5tPVUnoJi9tPsWtjVN4lKYruLVxihPZ6vgf+IlslWPZWhpLp45j2RrLfoN+bDCIOceydZb9BkPNGGrGou+z6Pv0Y6Mqz2Acb4QmHTdi0fcZasZqaNPzg6m444bj81fLNk1XsOw3GMR8zziXwLLfoFDPStE5axzUsVJ08OiecaxigGWfBvWvFB1iVc91XB/3KCtFZ/xzsDPOJbBSdCjUs+w3aEk5FecSWC3bDGLOst+g6QpWyzb92GDR98dxfU07bjh1vOOGrIb2+Br3/IDV0GYjNMfJ90ZojuM5N2AjNMfXfK+4Hxt71kEdDzUb18Gi7++7TlpSWp1M1Eld5stFEcrgpm77ISJvEJFPisgDIvJ9Zznnq0XkfhH5uIj8xwMt+IQrsY7b/wG8R0R+FPgr4BeuQBnMFSJZBuLSGmYTNO7oltOzdMdd6mQa55HxLNCJ13D1arS6/VUVCdUYtxAhhLT/ZwgpVk37e04SQTOH5j7t3ZnJeB213VtJpcVx1QEu7cUJVZKXKT4Lac93Dyo6bmETpzintPI0Fk1IM8Dm8vTHsOHqFrDUGlSPUasV6sefnKOklqJCffr0KWngcBrY7xmqZzM22YxNBpqTS2Ck6VNyQIg4Cs0o1BOrz4GhGny83a3pxgO66+NRhYCk1jeEQn16jqrlqoxu3GWZ7ktdp544jiedLfYTkyTSgOo0wSJNVPAMNGMQc/qxAY6qHOn9OI3ja1Gox1c/L4E0KSFOdKkGrTZxnYzrH62qFTCqVAO6t58nXbW46/ww8R7r84Fxi2KsruG53vP4MWeJ07i/OBXvPH6xcarX6eN7laeuk8ny73w/jjh+3zuvx/i+avJLRMYTR7Zfb3vc46Rx+Yi7uv999TMSVaYm3uwsQ1QZ1+H56mS6TFYndZ3srJfDpgrxArtKq2XNfg74UtLY/HtF5P2qev/EOXcC/wT4PFVdEZEbDrDYUy5L4qaqfwj8YfX9Q8Ddl+N1zVVGBLcwj+T59H6bmrodNf1G1b9ZAIxnPdeJ3USyte9kLz0RAL7XRbqd7QSs2lgdjehggPh6uY+IlFWCVp07VeY48VWrNSSrLadCK6Ps5RSdNNlgtCBn3RYq5NUsUQexHdN6biNHaCqdZkGMjiKP4JWFhbQUwGCUk2UhLYnhSho+0PYFNzZWcRI5U6ZPsHN+QC6BbjYkqnAq9FiLbRI0nM0AACAASURBVE4Wc5TRcSrr0YrVp+aYsZ63iTj6scFWyHlodAPP+3keGBxnIzTxROb8gKdHi6yVLXp+QOFTy9Ba2WI9S60LG6HFVsirFrGcQcwpo9tOimI2TtIKzbYTR6T6Qy7jP+Z7xeP7p8ay7f8PcT3OrR+aPFIc5Uzo8ORwiZ4f0nVDNmOTk0WPjh9xxncYaGodiwibscFAU+taEMdA83FyVyeDdeyrBCzgqkS1KrNMj9HzO8btxQP4RzZ5bYwx0/bbyjbhbuCBKn9BRN4DvBm4f+Kcfwj8nKquAKjqcwdQ1D3ZzgnXExEkq8YTVEnOBSU/cOktXiFt30SI2/FEolYnbftN2KSa7Xne8ye3aorV+LSJpK1OHCWElLSFOJ20aXVe/bVKMCUoblQy/sAp22Pi/LD61NtI20vVH14lbq8q7ly1mwCCG7pxEodAUWTpcntFvFIEj3MR79Mn8mFIv74tn2a5nS675BJouxFOdJwMddyIUCVk9dgS72JqdRNHzw/p+eE40ZjzA1quIODYjE1a1TLn9VizliuIWUpSNmMzjQ3LhgSEzZi6//JGoCUFQYWOHxJJy4IU6mm5gqWqu3YQUyveQpa6NAfVmKCFbAuAzdgcx04imzEtYdLzQ3wVR3W74rYvcCjroUVAaPs0c7WOe9mQXAJnQoeB5nT8CC+R9dAax6mLN42lq+P12E5j21x6/vr1JmNgPC5uoOn3relKIpJi3Y6HMaeQNPbO+ziOW67AS6TQjH5MY5g6fpQeX8W9LHUT96s6aPuCgLAeWuM4jRds4VDaviCqYz208BLp+eGuuH58fY2BqdhV12jn8YCM62A9tKbqpI4n66RQv6tO6jhdcz+uo37V2nu2OqnroONHF1QnHTc6Z500XUlOOGed9LKh1ckl1snkTO3LQfdoGQWOisiHJ+J3VBMkazcDj0/ETwCv3fEcLwYQkT8FPGmps98+mFJPO9R13A6KreN2MCRv4JbTvpjj1qZQbac0kUgB523x2pXwTRzbU/08Int2lZ71/PPwiwtpLbXzteBNvKftl9j93tzcHDLf2901OtkyFyLSacN8LyV4MaKNHO00iQ2flv8IaZKCZo6y41NLWiPNNvWDSGg5tpY9oQmjxe0WuZil9dpiroRegExxjbqOHJJFjixt4F1MLW8+cvvCaZwoq8M2zazkC458mo4b8djwCFGFF7RO4ok8NjxCwHFb8xS5hPHxL5z7JMt+g0+PTrAZm9ycn6YlBZ8enqAfm9yUr9BxQx4dHWM9tLipscKcG/Do6CjrocWNjTPMuy0eL5ZZLTvc3X2QF+WneLA4wvPlPCfyM8y5AY8XR3i+nONEtsqi7/NkscSzxQLH81WOZBs8UyzwbLHA0XydY9kaz5fzPD1a5Gi+zolstYoXOJqnSROnyx5PjxZYyjc5nq2yGro8MVpiOdvkxnxlHC/4LW5pnBrHc37ALY3TrIc2T4yW6LgRtzdPshmbPDY8situuYLbGqco1PPY8Ai5C1OxE+WO5vNT8W3NUwA8NjwCMBVHlXEdPDw8NhU/NjrCIObc1jxFS4pd8ROjZfqxwS2NFeb8Fo8Oj07FT4yWWS3b3NxcYdH3d8VPjZZYKTvc2FhlOdvYFT9bLHCy6HFDY41j2fqu+PlyjudG8+M62BmP6yTrc1NjZdyauTNeyLam6mA/dXJL4zQDzafqZKA5Tw6X9qyT25qniCp71kn9e2F1cuXrpCEl3/SSP7ts66i1XnSz3vYT3zJ136e/6gfP+foi8pXAG1T1m6v4rcBrVfXbJs75DaAAvpo08fKPgM9W1TMH/R6sxe16onE7MbvMXZRTsR7cJywdt4yFXa1ne70n8X57liikpKtuNY9VQjkqUrfnZDLoBHxqNhvvt15W70Oqe2JEYlpMV0LEFamlzo+qrr5Gam2ToLhSx/sDSqhWA4nbe3uKCFKklkTN6vKn83If8KKUPuLd9hpqUo1LKWJGIWE8Rqcef1Z32UVNI3LqT50DzdMn6Grm5aAa71V3U+YSaEggl5K8Gjfnq1mYXmK1plscz54DKKoFOluuICfQoHp8NavTVeOKcleOx33VC/O2pGDeDei7NNmg40a0XEHTFeNxe+m50kLBHh2P4amfP12TODV+qY7rZU52Hoft8U4tKcAxfu2WK1Krigvj9w0p3n4+Ja/GF3rSeKK9xk5NzglLY6mm15SaHjukU/Gknd2hdbxzTNalxudzrsdHdec8Prn0yl7vZ6/lW856PXZc173Ls70I9F7j1+o6q+tkchzcvspwSHVyoWapTi43BcKFd5U+Cdw6Ee+1IsYTwF+oagE8LCKfAu4E7r3Iop6Vtbhdb2RXE/G2GfhZ2OUC34+bm8N1O+OdD8atjnWyV9vRdSvdDtLrjlvi0KprtdVM673FKkFs5IRuY7y+m+ae0M4puxmDIxkS0h6j6qFsOkIz7TUqEfLNNKN0uCjEHIqeorkSummMmzQDWaPk5iOrNH0a2+ZQOtlovKtBLpG2L8jcdnLcdNMLhtZdn/Xq500pp3YCqJOv+vgdzeeYdwMGmo/XVQMYxHxqPNZIs/E/w4aUHMvWmHMDYrUu20Dz8c4FkxMgaoVmBBwnsjOcyFbHCSUwXuOtXsYjvZ4fP5+XyKiaVFD/E0mJav2PM47H0tVJ5uTOCfXxgDDnBrywkYan9LU5/ucVkKnXj7ipnRnSe/DVP8Y4jiEtLTIZ18fr1/Sk+tt5fl3GcZ1U8c73cLXHsL1g8eWKJ6/xfmM/sTPClYqvtzrxKN/zWR+8bC1uzRferDf/2LdO3ffwW/7p+VrcMuBTwOtICdu9wFtU9eMT57wB+FpVfZuIHCVNvnyVqp466PdwwS1uIuKAnqquHXRhzGUwi8nZuVzo+4mpq3NnCx1OEPHjrlCcm+5ajTqeSToeIxcDjBzkWUogq5mpMrG+Wx1LmC6nSjV7tN4VAap13qr7fXV/Wt5/emID6RNrJmG8sG4mcdz6M96OqmrFqr+vH1fbbh2rZk1OJBuTi+/W487qP8BpkL2MF8XNpdpKS4oq+Uh/VuqWtsG41UIJxKr1b3K2nYwTQF8dT0le+oc2qlsMxwmUm3pMOiebep87JyvUCVJ9bc62MG+dMNXjoCYXAx7Pkt0xMWJyokG6xnFXq0T9evWxyeP1a6ZZszp1fv2YnfHO57R4d7zzeu0nnvwZuVLxQV6Dqy2u7fWeLx9Bw4W9ZrVF57cBv0Mav/aLqvpxEflh4MOq+v7q2N8VkfuBAHzPYSRtsM/ErVqP5FuqwtwLzIvIz6jqPz+MQhlzWGK/D/3+rvtdr4frtdEY0wSFHWPaCAFdW9/VBatbA1hdwy0tEm5cTl2w9Z6k3QZExY0CPnfVbghVEpcJZTvNOi3TuGLKTlqkd6qlDVLiplJld5I2wY6O0nkaErixuTpuVTvn9lITLmT3g5PlPCfPcfyWxikWXZ8b/AZzrmCgnkIdI/buVjmfU2WPU2UPqFvNphMjONzdEfqxyUOj7Zn8ttuCMdcQBY0X/vuqqh8APrDjvh+c+F5Je7J/56UW8Xz22+L2maq6JiJfB/wW8H3AfYAlbmbm1Ou47R6rp9tj+tIJ07GTakZo1RpXr/1WTWCQoh4/qNvDmJykCQu5SxMQHMRciFm1npsn7T3qSH9QMiU2FM0UfLXOSBTwStYI5I2S3Adyn3ZHmEzMDiNpg+3uvZ22uwMzBpoz0IxcY5W4+XHXakG9REZ21lY7OJwk7WISqrQO3WzvZWiMOYcrvFuCiLx/H6edVtVv2OvAfhO3XERy4CuAf6WqhcgVHF1ozEVyvV6aEVp3ddbdpYAOBmefjdpupzFu1ZIhO2eb6nCEPPkc0myi3bTppwRPaGcMjuRpId5cUCeMeoy7SWMOxZyiTpEgKXHrpDFtrl3iXNpEvpmX3Lp4hpYvaPkCP7EJfD82GMaM/W76HnckMxeb4NVJ07PFAs/LHI9ybOq47RNqjLnqKBfcVXoIXgZ88zmOC2nB3z3tN3H7t8AjwEeBPxKR2wEb42YunfOIk8u3ntx4Dbfpr3sla5Mza6Veuy3GlLQB+O1WGaknSTiXxrt5IWYubYdVr9+mqfWsbkQLPu1XSgRBtsexVWPa0pJw9finNEO0jI6RZNszGUljxHw15q1O3JzodqJWTRgIbM9inErWqgSt6YrxzNDJcVq5lONZeLDdGna2cVzjS30IrWHnMjmr9WzPf7nLZIy5Cl1EV+kB+6eq+qFznSAi/9fZju0rcVPVnwV+duKuR0Xki/dXPmPOQgS/MA+N/Ozryu21TMnO7kz2v65c3Bogw+HejzlHshhWC2Rjc/wY1+3get20IX2nlTaUb2UpySsioddgcKwBWs0idWnrKwmKH0aKnme4mMa0NVYFzaDspowuKzyxqdBLG6oP+g2GTnmoPEKWBVp5iXeRVlZOTU5o+JRg1S1x9VZXefV1Kqnb0TKX9g1dZ84NuDlboSUlg6pr84Tv0xToq1CoY7Pa7WCg+Xi26NXQFbrg+9ycr4xnoNYzV+uyANuzWnfsVrBXMmqJnzHXIJ3ane7KFEH1vTvvE5El4Ew1Vm7Pc2rnTNxE5HyD7H56P4U05qzGLV8TCVncbvWabFnbtXTNOdePmz6W1m/bx8K/O0ijgWs2xy1y9d6k0mxAq4m2GsROg5inblGJiisioemqvUchZqkVLvqUJPkRRJ/Wa1OpdlKYLNbO7bHG71+I0RFiGiynVStcVCHK9mrgsZqKmk08R1oOIEzEgp88joxnUI7w5KRp/AHHSB2OSKGOopoRmY7JOCmbnOE5Ofty5307nS9ROhcnkaaE6ZZB0jppITVjpudUQFzVMlkv87J3mSZbGuuZtMaYa4nAFe4qFZEfBN6rqn8rIk3gt4FXAqWIvEVVf+9cjz9fi9vcAZXTmN1UCatrKaEa33euZOzih1VKu7332LbzLEDsbr2JwQuW04K5w4Ar0/psMfeETkbMHKHpUC+ERr2UR9WyVihby561F4IrhWwT/BCyTUfZFYaLmtZvW0/dpAppNmm7GuOWVimh1RnhfZxqafMu0s4KnCgtX1x0Sxtsj2V7tljgZDnHE6MjU9du55Y0V8vYtQU34ER+ZtzaB7Ae2+dt9UtllgNr9dvrMcaYq5RyNXSV/gPgR6rv31Z9PUbaNuudwMUnbqp61j5WYw7Exe6kUG+dNfVcF9H+Xa/fVn1fL8Y7TuK8R72kp3Zp3JqjakWjWqXDCzGTdF699hpCkLSQbswAUWLVBCZRCK2UpGkUYhOiTzNJYwY0I5JFfBbIski7OSL3h5ewTU5aiNWM0Mn7B2wvOjv5uEu1c22n86nHsNVJUi5pL8kUlufsqt1P12i6/8qO0zPGHL4r3VUKjHS7C+n1wHtUNQCfqBb7PafzdZX+7LmOq+q377uYxhwgPzcH7dbeux/sNcmgKND1sLtFrdNBuh201UBbzbSGWxlwZXXuqKD94Km0J2kZ0GaOtppk1eu4hTax6RAFFPwI/DAymvNs3OSIOTTW0jFRCA0YLaQdEkInglPCEa32YRGkGVhe3iD3kXZe0M4KXtA7nZKziSQMthfYndpK5izLgxzU0iB7udAE7GIt+P5FtbBd7nXgjDFXN7nyLW5DEXk58CzwxcB3TxzrnO/B58vs7ruEgplZ5nasY3VIXZiHptqPNH0r4D3i/fRYtRjT/qPepdmgjtSELhM3TfuOolW/pUja0SAKIoKKEKtlPiapq8awVeuzQdU6l6X7Y67gFDLFt8q0sG6ErBHoNgqaWUnTl3SyEXPZYLw/ppuYOTlLSZcxxlwVFM6yterl9B3Ar5K6R/+Fqj4MICJvIm2VdU7n6yp952QsIh1V3b3svLmmSJbhFhdSV+S5xoPBrmUzgKkk75I2pD+HsLGJ9Pv7fv7sxHHikUWkKFPiVreoxTQpQvoDpD9IOyTEmJ43BlhaoDw2n7pDGx4XIlIqmqVu09F8xmAp7YqQDZSQQ9nyFO00aE1dNVsUIILmEFoRzRUaEZdFsizQaJTcOLdO7gO9fIhDx7NFt0LOUDI8aR/SGxtnaEh5zlala3F25Gro0I/NcdmW/QYnstXpBX6lan2rJyNQtcTh0pSF8dos6cvkNlOwewuis12nvbamMsbMBrmI0TkHSVX/AnjpHvfv2p1hL/vd8upzgF8AesBtIvJK4B+p6v96YcU1M8lJ2uzsirz22dd5mxoaJw5xQtpGbo+EsW5R8y4liHWLGtsTEvbcsN6liQeau5Ss4XAxEnJH2fWEZlrSIyqEHNRVcc54z9GYpZcRl2aTapZa28Snm3NK5iLeRRquHI9VCyq4qhswKpT4qb1G67FoLVeA1HuKVvuTSmBYbYg+uSdpvWG5lzB+fFq/LY735/QozYnZlWkj6DgeQza5Ifrk5tVp6Y3dx+t14SbPz6vXv9DNsQehRe7K6vWycZm3r8n0n7TJPUwDKbmr30+Y2DM1r2an7twce/L45DXf6/ydxw8yPtcG5UHdxDW5tDggFDG75NhXdXwY8bk2NL8W6uB6rJPLSfSq6CoFxrNLd1HVHz7X4/a7keC/JA2gO1U96UeBL7yQAprZoWVJOH2GuLJCWFlNt7UNwsYmcWOD2O8Tt7bSbThER6N0K6pbWY5vqcVu4qZ69tsefK+LW1rCLy3gF+bx8710X6+H63Rw7Tau3cYfO4K/8QT++A34o0fwR5bxy4vpcfM9dDhEnj0Nz52CUyvo6RX09BnimVXimVXIM8LxReINS3BkEZYXYGkBbeRphuhmQePUFlm/AKCYy1i/OWO4IEiZuj+3bnBsHRMGR4ThkjBaUEbzSuhFQi9SdqpdEZoRaQWyRkmeB5p5SYiOx1aWeHR1iY2iyZlRh8fWl3lic5FhzBjGjCf6izy+tcRjwyM8MDjOfesv4GObt9BxQxZ9n/XYYj22mHdbzLst+rHBamgz57ZY9H02Qov10KLjhiz4TfqxwXpocWfjGV7TfoRj2TodN+KFzWf5rOaT3Nl8hjubz/B57Qf4gs4D3No4xbLf4CXNp3hV61GW/Qa5BG7NT3Nn8xk6bkhUx9FsjRc0Tqa14GJOzw+4KV8hl0A/Nui4ESeyVTzKatkml8DxfDv26Dg+XXYBOJqtpeOhPX6NfmxyX/8OHhrdQD82eaZc4BNbN/FUsQik8W+PDI6yUnbJpaRQz9OjBVbLDh2X1vJ7erTIRmjRdUOcRJ4t5lkPLeb8FrkEVoouG6HFnBvQkmIq7rghq2Wb9dBiwfen4p4f0PMD1qtrPhmvlu2qDvq74n5scLrs0nTFVNxxIxZ8n0HMOV12aUnJcrbBIOashvY4LtSzUnbIJewZB3WslB08umccqxjYMwZYKTtEdXvGHmWl7BCqOJewZ1yoZznboCUlq6G9Kx7EnOVsg44bjeN0jUecLrv0Y2Mcr5btiXi6Ds5WJ6tl+4LrpK6Dvepksg6sTi6sTuoyX04Sp29X0ObELQBvBF5wvgftd+cEVPVxmW6RuMKNjeZQxXBRkzQPnJPqlm132VbbTiEy7qYVV41Vqwhp3TNCSDscqEJZbs8a9R5yQWKa2KCZR/NqXJ9qGhfnBM3TrFJIExBSi1raazQ2gJHgUKIXQrN6ca32H81S65q6Kin1Ol6jTZyS5wHnphNWVWEQ0q9lvWtCqanbL60xJmxUL1SqI0foxyZRil2fXsc7IKRBeXTciICQS5qF2nRF6iqsWg5aUoDb7gZsSTGenVrHo2rsY8DRkEDTFVUs5JNx1VLWquK6S7Iu40h9WofNlcDEJ3B3tk/o2dR7KjQbt0wMY85mbI5bGIuYsRmbFJpaKIM6BtoYxxEZx9vlySZaI+O4pa7pyqnr2nQlXuK4S3pnnLuQfh50oiUPmY6lWopEd8f1GMa6u3dnXLdy1GWebPUYTVyj+vjk4/c6vvP5dh6/2Li+hvU13XmNHcpo3IIbx8frn6Odj6+v8eTjt1tsdRwH3HhB6XrJl/pnqo69RLyknzFPHMeTdVLg96yTAm91csB1Mtp/GnIw9Mp3ldZU9acmYxH5SeB3zve4/ba4PS4inwuoiOQi8t3AJy68mMZcmLC2QTx1GsoSyXxKuFz11XtEqkkCW1vomVV0dY24tk5c30DXN9D+FrrZB5G0llu9ntuNxyhfehvhzluIL7qVONdBhiHdioBmjthrUSy32DrRZPPWNmsv6tK/qUUxlxFzwZWAg7IrhDZpiQ+XZpYSITQV9YqMHAg0lge4XgHDtHjuTYtrLLQH9AcNAF5x/CleuHSK01sdBmXOa5Yf587553lqc4Ezow6vWXycl809w2ObSzwzmOeze0/yGe3n+OMzL+ZP1l7Mq1qP8T+2H+LR0VEeGt7Ay1uP85r2IzwxWubh4Q18Se9+/sH8R4k4zoQOX9D5FG+c+xseHB3nQ5sv5Yjf4KWNp/n08AQf2ngpI/V0ZcSHNl/Ce1fvYqA5N2crfGxwK7+5+ioAXtR4lgeGx/nd1ZfjJfKZzSd5uljiQ2svIZfAK9uPsVJ2+ZO1F+Mk8urOI2yEFv9t/TMAuKv7EIV6/nztRQDc3X2QgPDnay8iIHxO79N4lL9cv4NCPXd3HySXwF+u38Eg5tzdfZCOG/GX63fQjw3u7j7InB9w3/rtrJYd7u4+yELW577121kpu9zVfZij2Tof2biNk8Ucd3Uf5oZ8jY9s3MbTowVe3XmUG/Mz4+NfuXAff6d3P6dDl4Dj9XN/w+d0P83To0VWQ4fP732SV3ce4bHhEZ4uFrm7+yCv7jzCw8NjPDY8wis7j/HqzqM8PDzGg4MbeFn7SV7RfpzHhkf4260beUnr6XF8f/8m7mg+x6s7j/LEaIm/3riV25snuav7ME+PFvjrjVu5MT/DXd2HebaY5yMbt3FDvsZd3Yc5WczxkY3bOJqtc3fvIVbKLvet385C1uee3gOshxb3rd/OnB9wT+8B+rHBfeu303QF9/QeYBBz7lu/nVwC9/QeIKrj3rU7cBK5p/cAAPeu3UFUxz29B3ASuXftDoqYcU/vAXIJ3Ld+O/3Y4J7eAzRdMRXXdbIeWtzde2iqTu7uPcTRbJ371m8/b508MVri1Z1Hub15ko9t3sJjw2Ve0XmMO5rP8bHNW3hkcHQc39+/iYe2jvGy1lO8uPUM9/dv4tNbx3lZ6yle1nqKT28d5/7+Tby49Qwvaz3FQ1vHxnXwis5jPDI4ysc2b+H25kle0XmMJ0ZL47iuo49s3MaN+Rle3XmUp0cLu+rkvvXbL6lO7l2745qvk3vX7ri8/1S4uBY3EXmDiHxSRB4Qke87x3l/X0RURO66iKJ1gFvOd9J+U91vAX4GuBl4EvggYOPbzOGrW/722Nh9vN2VKhT1/dPLfcDEPqL1+LYYUZfGrKl4JHNIGdPs0Wpmqbq0z2hoOMpmmjWqDrykT2taDY+rx7CFRlqLTbxU49iAbGLShleyLKR125zifFrGI/ep1c27yFw+YLNspiU+XJqIULd2OVILmZsYu1e3mG2F7XFekwPtW9XYtaCOiNCVkpZItbsAtKSkVX0KLqoWsFxitWWUpyCt6daPDTbK5ng9tEHM2Qp5ar2oPlWPYtpiyldj2YYxq8odq1ax6pM/IcVhO47qKKttJnLC+D3kEsatfvVYt64b4tHx+fXxOm5ULXKTsSfFQV1a+21iVm5HhrRkVLVoKl03ZDM2xltkdSRQSLl9TaVkhJ+Ii3R9q50ocgK+3tdV0uv9/+zdfZBk2Vnf+e9z7r2ZWW/dPa2RhtFoQFqsAAsBEjsriMVhMIJF2A4GE8AKAxYgVhu7CAMShAWOAJa1wzIYY4gFr7UgEDa2EALMrFZIvFgs4AWhEQiExMoIoZeZHc2LZqbfqjLz3nOe/eOcm5VVldVd3dP1kl2/T0RH1XPy5s1T93RlPnXuecn/BXKv28AigTSL8zXvSpx7MWcxua0a68r4vL53Jz/eptxj1L9Gm6rSs5EnrnTl8UHp9etSbuOBxbnHffb4tLTR7PEyTmlQrtd8XOE74mBpx/P7NorlZ+rbJGGMrN3TJsHy8clLjzCJNuXemtxDnOP+8X4nj2G5pq3VpPL/dmCRZIFuvtfWmY0V7Sef9Nc8X8M85rLzisryNWm9oi29SQOLdCm3Qd8mszawuTaaa5O8t/BTa5P5a3yrtklf5yNzA1teWV7s8yeALwEeAN5lZve5+/t3HbdBnjH6zgOe973M1h2gIs8yver4NgDbs43Q4pO/AfgOd3+ixLcBP+Lu33yQyj1VZ+y8f669+CheSk6qMkkBDr4vKUBYX889bL1+tmhdYyHg58/S3raSe9hqo2oTNk34IBCHFdMzFeOzZdboxAmtU2/lvUbH54zpGWPyNN/e+aDKC+umYcJWO6xyqrrsv5oCzaDj7NrWrDrDKnJ+dAWAaaoZhI6nDfPE7a3Y0ITI+SY/vpUGBJxzTX78chxSkbit2STgTLxmaB3PX/kYA4s80m2QCGyEMQCX0giA1ZL8PNrljVGeN3qQNZvy8XiG1uucDJF4NJ6h9Wp2/CfiOq1XrIUJjUWejKtMyhi2gXU74pG1XIirjFPDRjVmGFouxxGbaTB7/FIasRmHbJRxL338KcPHeHbzGE+mVZ6Mq4ysLY+vzOKcYA25EFcZhpaNsMXmjnjM2BsudKuMQst6NWZSxh7dXl/i04cPMfaGT8R1KhKrYcLYGx7v1gnmnAlbRAJXUr7GG9UWrdfl8cRG2CIReLxbB/Iac5HAE91aeTxf8wsxjyU6W29SkbaPr3MbXuhWSRhnqy2CpYVx6xVn600aiweO56/5ojY4W23taZPVMN0Tb6YBl2djk/aPV8OU9Wq8J+6v+e54aB1n600mqeFSHNFYXBi3XnGhjAebjytLnK22iNhVY4DHu7Ud8YW4UtpsO87jva7siHOb+VXjg7TBonji9Z42OK1tEizxD//6d3N10AAAIABJREFUO97t7jfSQ3XdRs+825/9P+zczfMDP/iqq75+maD5A+7+pSX+HgB3/2e7jvtXwG8A3w18l7vff7W6mNmnzIUd8LC7d/sd3ztoqvtZfdJWKvsE8MIDPlfkqUsxT3iIsYxzy/8sGNbUWN3kf2W9tn5vUqvr/M9sRy8d0xYfT6Argx3KDghextT5/HjO0M9E2v5Lza2s0VZ2Sph93zhpJcIwUTWJuokMhx11nTBzqipxdjhmfTDNY/CAs4Mxq3VLl/Kv45l6i5VqOhvbdqYes15PaEsv0vn6Cmfrzdl4kfVqzGo14XI3LIOi25KIDLiShozClFGY8mRcnSVrlSUupREX4mpOXKxjnAZcjCMa61gLE1qvuBRXGFhkI2zResXl8gbex5fiKCc2YUzysB2XN+zLcUiwVBIh41LMyeNGlRObfrzefBxInK82acrkhsYi56qc+GymAZWlHFuOAc5U49nkh3y+rVkcMc6ELRrr2IwDIoHzZdD0OOWew3PVJmsleUtu5fkdT3Rr5RrlPxYuxBUux9Gs5+xCzIOwR6FlYN3sQ3IUWkahZTMN8uO2N14LEyZesxkHDMN2fGmuDSZe7zi+7wFtLM7inMB7SSbzNW92tNlwlmxGD2zGwY74crf9fIDLXWmTsEUqj/dx/3jywEbYosJ3PN7HsTweLOVrvitOGBsht9HlONzxB8GieOL1LN5Mg5IIbTGyfE3HqWE1TPbEw9AySfka9/FmHMyu+WqYsBkHTFI9i8epmV3z3XFO4He2wcTr2TWfb5NFcd9Gu9vgNLdJ/zMcFWPhrdLbzez+uX+v2PW0u4CPzcUPlLLt85p9DnC3u/9f16yD2R8BuPtH5v49OJ+09ccsfP4Be9z+BPjCuR6388D/7e6fec0n3wTqcZNe2NjARqPt9eU+6XbS+ghrI3Rp7zptvRL3t1ttZSXvlrA2Iq4NIDmhS+UcMS/Q687kzg0uPWtANXXqsc+StMm5wOYdhkUIHXRrMDkf8YHDMNKstDz93GViCmxNG4I5dZUY1B3rzRQrOyAMQl63rdeEyFo1BSi3ypy1esIotDyjuTi7rQOwmfKbc3+rrF8aYyOMqSxxJeU3837CQJ/U9M/vB/OvV+PZciDJw47zzS/nMUnN9kDlcou09aosJ+KM5wYuNxYZe02bakahnS0H0i9T0N+aWhSvVhNWw5RJamYTCBrrGPt8HMst2WZH3N/yHZVZpOPUzM6fPN/m7XvgkueJHf3yJMkDY6/zcijlNvRmGszOFzEmqZkdP38N+2u8X7zjGnqYXZPDivuf+Xrjg7bR7riyxDC0Tznu2+h6Y2A2EeZmx/0kGLXJ4bRJsMSrn/ebR9bjtnLn3f6cb9rZ4/bn/+yaPW5fBbzE3b+lxN8AfK67v7LEAfhPwDe6+4fN7Le5So+bmW0Bf3GVahpw1t0/edGDBx3j9iPA75vZL5b4q4F/esDnyq1k0VpncGS7J1gVsKps4GQJbyrisCqbGpS9QGPEAYvbuydQZm+aO15Vebxb3c8YpWxplbAY84zVmPKWVl0ixLwZvLnjzM0qbfJpQ1dmKXnZaaHfeKG/NOVrXeVVwVJZ62wQyjgTD9TWj2nr9xNN1GV/0X5GYv/XbT/jcjVMduzBObI2j0HzZvaifcIE2+Pf5tdY6j9YYHsx2bhnbbQq3wMu50jej5Jj+4OC7deLGLGfzRa6ElezeHbOfeLWq9ntrFyfmvHc+mx9grbo9frrN557/d3nj9iu82+fr78OfZK7+3x9PP/6B4n7a5Bn6aZDj/s6XG980DY6ifFszb2bHKtNDrdN+veGo3S9Y9zIY/vvnoufVcp6G8Dzgd8un0OfBNxnZl++T/K2Z/HdBfad+3qgxM3df87M7ge+qBR95e5BeXIKhIrq7Jmc9MS0dzcFyJMHmJsccJN3U0iXr8CV7a512xrTNPWOesy+AuGOp5POrmFd3mvUuoiVutrWBFYHdCsVVW1YlQhtzrq8qUiDilQHBpdT3tqq2t5I3iLUmzmfmZzL8crHA926MX0aTKeBBy8OoXJCEwmVM+0qqioxjRVVSEzqjjokhqljvZlwrtksydTeTeArSzzabcwW1LyWxiLPbJ5gZC39wrn9khqtVwQSd5W11capIRGYejX7mo+rZ3t/ArPJCdr7U0SW1o0tB/Iu4Llm9hxywvZS4O/PTul+Abi9j6/V4+buH7nuGsy5nnXc3g8oWbvVXEcPmgXLg/qrgFtJ3GLCPO1YUw33WXI0+8wu47f6cWn5W+9PPHts3/qVc3vXbZdbwDfbvc+ZE2KpWwhYlZM7g53bdpUxbWZ5nTbqQGoq0jD3yFkH1Lm3LVdie2xE7oxyQmdUE0iNYSX5I+V13JKDN4k2VLgbrTlela9uVJZm49v2069XtuNnW7BxfDX31/rI2tnss2p+KyzLOwmMrGVkHVXI66IF8ppv/df+eRHPsyzLTNrd7ZXXadreaWH3dlDbs/gW/4zB0p7Btsu4JddJUC34P7Gbrp2cdtfb4+bunZm9krzGWgW83t3fZ2Y/CNzv7vfd/Fru74hXvpOTxOqacPZMTjIW9aAtWF7DNzfzR8Pux+Z70Y5gr9Kwvo4NB9tLg/Q9feXrbNmPi5ew8RgbjfDRII99iwkfDWDQ4FUgTBOhzf9SE0grNakOxGEgNUaqjRCdepzymLY2ceXOhisreS23wZOWJy947oULD1V0q057W+nZG1d4G+gcUizJWpUf60JJfjzwl347dUizW6jD8rUp7zJ1WbSyH18Vyq3U+R66hsizmguznrbZQrWEWe9Zv8fpX06fQWW+p/yo9z49X21yvro86xlMpWdvvl7zt4T3q9ei1zltCeAdzQXWwqRcs529rMCBr+Wtsr+tyG79e/X1WrSPqLvvt2XVF95I3Q5KidtpZgHquf8CbmCOedr+u91sRw/aYd8KPXDVqzxjdJY0ljXaLNh28mmWE7mtmGeWxnrH9lpe5Z0TQpu2JzdUlpf1KDsc0M8e7cA6J3ROmOYErp9pWuYS4AYh5TFvXhktYG7QWe6sirkvK4b8AdjF/LVNOVEKDMt+pZE6RLqQb5sOQzdb8T/gJMtrjlWeSGY0bN9eBXYM1gd23PqE7Q/qtkxuOO4P7lB6//IacDURJ5CoCEw9T9iY7S26O5mzuCMBCbvrueBP6/nHF/VQLXMC0liXd7igmvWy9vpe035tv/me077XFLZ3uYCd1+JaPaeLniNyEp2UnRNulBK3U8y7lvT4kyW4SuJVHre6IZxZz2uq9bM6F/R02Z6euGp2jj2vYex5bO9r761PunwFtsaE9TVsMMCTbSeRJfnELK/hNhzMEtB839KxzXEe4wZUZrn3sGyjBeT13W5fJTaBMAyE1qkmEQ9GHAaarcTGh404gLhiWOdUE8qyIjlxC1v9xAfLm85XASfQbtW0g0RzviN2FZe3hoSQGA1aquCM6o6migyrnLCNykK8i3rihqHl9sHl2WyuUGaTjnM6l6/VCe9ZeTyucyltTxbYXb/nDj/OpzePMfaKcZlIMC2LA7dez8bmRQ/79i7uuBZ29Wsx/9MvWy/Tw+05Hp1LVtPs5z/+dhY5EW5gAd6TRonbaeaOt9ODHx5jTtrmZnXmB8o8yf72aQh5SQ6zuTFunv/CLwmaBduZIM49tkefdM3Xpevy3qMro7nCuef35y5bY7H79q+XXrn5nRji9p9htjLCpqPZGvmhc6xN0ARociI3uJJo3YhDI0SoWseD5R+1o0x0ABxCZ3hr5U3DSEDblttYbUUovR9VlW99xrKyfh1yXJdJC8Gt3DoNtEBN2Tew7LmYV9jPux48lQ/t/Z73VOw3/irvAbn9/W4NkY1gNB5pPDH2RPCUf+bSO5f3kMzP7Xvr+p67VPacBMDKLgcs7mXa/TPPj9272s90UpKcsdccYJibyKmmxO0qzOwc8FPkabIOfDPwAeAXgGcDHwa+Zn5xXznBUiQ9eWE7PuLbowurtGuW6WwbrFIfm0zygryrK9hwOFvLzUZDGDR5GZB++Y8YYTjAhwO8ClSXco9c457XgSuPV6sD2o0B3SjvqNBcKctslBmnXkE1cVYeyT1t3Wrumh9+osIr6FYc36zoLq6TaseHTiIvm+2DRDy/iRl0XaCuE3eevUhTbq+Oqo7bh5cBeGyyzoVU8xf+DPpNnGHx2DfYOZmh2vXOtWiiw6LjbkSfHJ2vL3Ou2sw9ZHPj2J5WX+Zc2Jz1nuWtturZOK2xN7x3eib3qO16bHb79zrHw6kHSuSUurFZpSfKYfe4/RjwNnf/KjMbkDdQ/V7gt9z9tWWj1tcA/+iQ6yE3yfX00B2F2SzT/R6f5DXdQlVtj4nre9ZCTlcMtm+RNjU+avLepdM29xzG0lMX87IgVgdCW2Mp98RVZSxcKmvCYWVtt00nDvLepSFCfSWv/eYh98S5gdfQldzIkhEjTCcNZk7XVsQ6sbnaMKi2Jwz0M1CvxAHJjUmsd4yFa8okhnqfRG6W0LEzKeufN4stkubWWJpP7vrxdpWl2e3I+SSv37d0vseqsciqTQg0tNR531Iz1mzKRpjSelk01xum5L0N+9ugj3Zn8nlLstfOres2P5liOz7YpIW+frGsrbf7+N09avstx9Lfpl50/qOI96vDssWHeY2OOz6sa3YrtMlR6ndOWGaHlriZ2VngbwLfCODuU2BqZvcCX1gOewPw2yhxk0OWrmzi0+nsFqpdvgJVha2MYDQqiVnELkdsc5w3tY8JGw7yDNSmxgfl18Wd+tKEtc0paVCTRlX+K65LeJP3OE21kQbby4ekxmhXczz6BHQrsPV0I3RGc8lKTxyEaSBtrZAqh6ETHR7+/56RN7NfSVA5fxw+BYITmr530QiVc/7cZZoqMm5r3I2VQYsBW+WW7KjpMGDS1SSHlSYneuMuH3/nxkVW6ykXpyOSG3etXmClanmyXWGaKp65coH1asLj7RpbseHOYY4/0a5xOQ555vACG9WYx9p1Lschzxhc4myY8lhc50K3MusRfLg9y+PdGrc3lzhfXea97d1spgG31Vd4WnWZj3dneazd4PbmEk+rLvNod4bHunVuq6/w9PoSF+IaD7dnOFtvckd9gc0Sb1Rj7mgu8GRc5ZHpGc7WW9zRXOBSXOGR6RnWqwl3NBfYTEMeaddZrabc2TzJZhry2PTsLB57w4OT2xiGjjsHT9J6tSd+aHqOyhJ3DZ4gufHA9DyVJe5s8pjRB6bnAXjW4PE9cTDnweltRA/cOXiSxiIPTm+jTRV3DfPaeg9NzzFJ9Z74zsEFVsOEB6bnd8QPtefYjAOeMbjIRhjzUHuOS3HEnYMn2QhjHm7PciGucEdzkbPV5p74sW5jrk2u7Ikfj2sL4/P1FW6vL3EhrvLYgvhsldtgd3wpjXio3WCjGnNn8ySX0ohH2rXcBvUlNtOQh9qzDEPHswaP74jVJrdWm8wvfn0kHCwu93iCw+xxew7wKPAzZvbZwLuBbwfucPeHyjEfB+5Y9OSyV9grAEasHmI15VRIEZ9s9yh5GVQVQsCaZrYV1vYEhpQTtyoAg9mivNalvJhv22JdJAwaYhxgMc9M9aYijBpSE4ijfHw1SXSrFanOvXT1VsJSYHLecnwl97ylCjCjGoPXRuuORRhcNNyg27BZD6EbxLWUg85ItXOhXqGuI5NJXu9tPMhfp9Ma3NgcdJg57bTGga25GGBQd2w1DZcmQ2IKrNZT2ibw+GSVNlVs1PnW8ZPTFTa7ARv1mCZELnYrXOkGbDZbjELL5TjkyXaFM3XZ9DoOuNSOuFDn5O2xdp1PtHmT6cYiD7dneHS6zjOHDakxHmnP8Og076naWOTxbm0Wr4YpF+IKT7bbm1ZfiqNZPPWaSWq42K0QzLmtvsK47CUZzMvOEvVsj9TYhNlekgBtnbfRuhyHs568fm/K+bjfe7Itt337ODa5t28r9rtR5B6FPu7Xy9uMg9lz01zcejXbk3WS6h3xVmxmky8mqZ7tHxnJe11ejkNuK/E4NTuOnz2/Ls/3mivdcBaPU8OVbpg3Aa+YxRvVGKq8ddeieDXkHvjxXNyPs7zSDRmFdhZvxbw92X7xfm0y//hB2iSVHlm1yXK0ye71KY/Csve4HWiv0hs6sdk9wB8An+/u7zSzHwMuAt/m7ufmjnvC3W+72rm0V6kcmlBhZeeFmblxctbUecP6qipJHLOeuPn9TkllSZH+FE1FXBtCMFJTnldukebeuMDkTJjNqk2VEYeUvVANAsS861Iej2HlNmvpmfPKZxM/LOXHZ8f3b0r9Hb252AOkYdqeOml5cWCCQ1W266oTFvJeqphTVY5Z/gcQ+seKKiSsLCacY98R9/uyQh53Fmzx48kNd9sRAztea/Z88qDZmx33ZpOdlyTuyxbFh33NbuY1X+Y2UJvcePz7X/pDR7ZX6drtd/tn/J3v3FH2rp979ZG9/s1wmD1uDwAPuPs7S/xm8ni2h83sTnd/yMzuBB45xDqIXN2unrjd+jFyu4W4mteGqwK0ZUP7Lm5Pdhg0VCHgTYXXebmQMI2kOmCjCovO0HNPW2yMEKBqc2IVG/J6W2Nmm9pjeZZqv0eqpzJDda5y1dauSu6quHk+V7se8Gp7gG5cz4mgbea30TRKUDtxWtabG0WsSqRpBckIo45QObENeAxUw0ioIrGtcjyIVHWka2tSZ1RNom4ibVuRukDdxBxPa+Jc3LUVsQtUdaIZdLPHZ3FbEdtq37jrKrppRaicwbBdHLcVIeQ4xkA7rbHgDK8RDwYd7sZ0siA2GAzbvCtG33s5zF2609L7uTtuSm/ndNLgDoNhiac1nmxP3Aw6qioxmTQ74umkIS2I6yZS13FPPLvmg6vHVRNpSpvFtrp2vKsNrhovaINrxWqTW7dNzBa9wx4e8zzmeJkdWuLm7h83s4+Z2ae5+weAF5O3zHo/8DLgteXrrx5WHUQOSxpP8BjzjNXZQsDb+6Taygqhy7tSVJ8g34LtYl5eJBi+OmJ6xwZYXtg3r3/npGHF+Gn5gyS0XnrS8uLCVeuk2tgaB9ygmvSJWO7Jq7cct/k417Vdy8fVm6XylsfU1ZuAQzvNiVx9JSeD3XogVVBv5p0h2o2KVMPoSt7+q1uvSbUz2DRCa7RrThx4Pn5qedeIgVNvGc0kx9OhU/XxijMZOtXYGI6NuOJMRjkebOV4vCAOfTxyxisL4okx2DTi0BmvjgjTEg92xqnJsXXG4MqCuHbGayMsQnMl4JUzWfPtOJTYobncx8O8c8aVnPxO1nfG07UhbtBczrNS2vWEW37cUokD1JdLvJZmbWLR6NYSbYlDl695W+drXpc2aBunvpLjbtUZD5xq0xhMF8Qrzri0yWBc4tGC+HrbpG+D+XirbwO/epusjbBWbXLa2mTPfndHwBatVbpEDntW6bcBP19mlH4I+CZyM73JzF4OfAT4mkOug8jNV3rq9vv1D5C35CLfWu33de23FbMuUp3Ni87aJGIxYm0kjQbUq3mwbrWVx7CFoYNDPY7EQaAb5sSs2fSy/Ei+5dpccdyMNMhj4KqtMiNymJcpqSb5TTQNrSRmQMq3bj3ksXb5L9G8jElzGUK7N7aUJ17UVyBM8wLDcWg0VyBM8pp1cZTfnKvxgrgt8aZRbUE3NcIUqi2j3syxtfnxPfEWxInRtVCN8+N9HCa5DnFodN2CeGo0lyENLG9d1sdNidsS1/mD2SIMLuXb2HvilMcnNpcAM0LMSW+O8zUCaC7m/w+z+BK5pzSVNpuLPeQ4RLCYk+k+Dl0g1aUNuu1FnZvL+dpZl9t9d1xfyXvoWmuk4YJ4c7tNurlrHKY7491tsDDuoN5agjaZXXO1yUlok1QdcRLl5P2nl9ihJm7u/h5g0X1jDViTW1qatvgTZVeKBePnbDqlmkz2TIYIoxGrkzLksy3vLma5l2zUUDcVocsDhKtx7u9fedRwM7zKkxjWHs5f+zF1fLy8dMg9bYOL+QMIwM2opnnsXD82bkBO5PpbqfUW+CTHbjlZC105Psx9X279WsxJmHm+rWspJ1kAaZCPC5O5mLk4/2jbx++OB30d8gfAfGypxOHgcRySk+M+HvRxvqVytRjyz4eBtXMxV4nLO27/wZEaZh8kRrl1XpVt0+J2bDEPQ/QKYujj3E5xmK9xmOY4Da4jtu02qXa1yQ3FN9Ame9rgsNuk3idWmxxLm1RdP9LtiLh63ERkkWuNnes6GI/3lNt4QgiWd52Y76mra+zsOtbUNGXNOZt2ED2vN1cF0toQzHI5ENfybNgwKfFKg9dGmFR58sMw376o2vLhUfcJm8/G1nkoY+3MIJSevCk79nIN7VxM+YDr34stf6DNFry00qvX75AWtmPPd6ywtJ1E7onDgtjLB4LNxd2ux+fivo59fRbG8Yji+WsyF1uaHbodp4PF+16jq1yT44z3bQO1yelpkyO27LNKlbiJnCDetTt3p+j/MgyGjceYGaEpv7azfWITVtdU587gVcBKT124UN4du3xcZQbBGIZ+OqqVXrn8L22M8vM9J0xppSZVYfbXaRxVs8Qu/1Udcg9bl/+CTQMjVUaIeZxLarYXH7boJTZC54SYx+ulOscWc8+HV4ZFJ8S8PEqqrdyW8gPH/cLIfTJ6zdjzeMLdMZYnjlxvDHn7M7hG7PkauV1/HDrPPSW74zr3qob2OuOutNGu2Ks8IeZasZU22BOHuVts+8Vqk9PdJkfc+WWe33+u+3lmLyFvKlABP+Xur931+KuAbyFvgvMo8M3u/pGnXuO9lLiJnCTu+GSy+KF9ygEIFVVdY3WFd3G7pw7yYsL9Hq3lNWYTKSAnh8GobjsHTTM7ztdX8abOiWBK+Noor2VXevrSapPXrZtG6BJpNa9fFyaR0CXiqCY1gWqSZ9umYUWqA2Ga18JLw4o0KI+3iTTIcZimPAN3UBGHgWqaCNOU18Yb5n1iq0k8eNw5YRLxemdMZXRlhm81voHYjG61whyqrZwcx5V+fOLBYzeoN/MagnFU4ZVRjyPEg8fVZO6a1geIp2nHNa8mkTBNefHoq8RpkBeYDtOUr/FV4jDde80PGqtNTk+bHMdty+vtcTOzCvgJ4EvIK2a8y8zuc/f3zx32x8A97r5pZv8T8EPAf39zaryTEjeRW0GKpIsX8y3W+YQMONCeshZyT18Is8TNLl3GgkFy3B0bNJjZbJJFVddQVbOFi0PIa931t3hDVWEhzBY3rus69/KlMkGjCrPnzxY7Pkjc7zdr9pTjwY3EMNtqbVDXhxL3yfYghNwmB4ztKcbNfvFNvOaH0kZqk6VukyPlwPX3uL0I+KC7fwjAzN4I3EteJSOf1v0dc8f/AfD1T62i+1PiJnKL8Mnkxu86eCSNdw04WTAGT0Rk2S24VXq7md0/F7/O3V83F98FfGwufgD43Ku8xMuBX3tKlbwKJW4iIiJyKtjiWaWP3aydE8zs68mraXzBzTjfIkrcRERE5HRw8qLn1+dB4O65+FmlbAcz+2LgHwNf4O5XGZT81BzDmsUiIiIixyHvUjP/7wDeBTzXzJ5TNhR4KXDf/AFm9kLg3wBf7u6HupWnetxERETkdPC8bMp1PcW9M7NXAm8nLwfyend/n5n9IHC/u98H/DCwDvyi5bU2P+ruX35zK58pcRMREZFTw+L1r8Dr7m8F3rqr7Pvmvv/ip16zg1HiJiIiIqfDjS0HcqIocRMREZFTwXAsHtNeWzeJEjcRERE5HW5gjNtJo8RNRERETom57f+WlBI3EREROR0crFPiJiIiInLyOXm/5SWmxE1EREROCd0qFREREVkO7tB1x12Lp0SJm4iIiJwOulUqIiIisiwctI6biIiIyBJwlLiJiIiILAfXrVIRERGRpeDgSz45IRx3BURERESOhJcxbvP/DsDMXmJmHzCzD5rZaxY8PjSzXyiPv9PMnn2Taz6jxE1EREROCcdj3PHvWsysAn4C+DLgecDXmtnzdh32cuAJd/9rwI8C//wmV3xGiZuIiIicCu7gbbfj3wG8CPigu3/I3afAG4F7dx1zL/CG8v2bgRebmd20is9R4iYiIiKng19/jxtwF/CxufiBUrbwGHfvgAvA025CjffQ5AQRERE5FS7xxNt/M73p9l3FIzO7fy5+nbu/7ijrdT2UuImIiMip4O4vuYGnPQjcPRc/q5QtOuYBM6uBs8AnbqiS16BbpSIiIiL7exfwXDN7jpkNgJcC9+065j7gZeX7rwL+k7v7YVRGPW4iIiIi+3D3zsxeCbwdqIDXu/v7zOwHgfvd/T7gp4F/a2YfBB4nJ3eH4lATNzP7TuBbyJtMvBf4JuBO8oyMpwHvBr6hzNIQEREROXHc/a3AW3eVfd/c92Pgq4+iLod2q9TM7gL+IXCPuz+fnKW+lLy2yY+WtU6eIK99IiIiIiLXcNhj3GpgpQzUWwUeAr6IvMYJ5DVPvuKQ6yAiIiJySzi0xM3dHwT+BfBRcsJ2gXxr9MmyxgksXgsFADN7hZndb2b3t0wOq5oiIiIiS+Mwb5XeRl5J+DnAM4E14MDTcN39de5+j7vf0zA8pFqKiIiILI/DvFX6xcBfufuj7t4Cvwx8PnCu3DqFxWuhiIiIiMgCh5m4fRT4PDNbLft1vRh4P/AO8honkNc8+dVDrIOIiIjILeMwx7i9kzwJ4Y/IS4EE4HXAPwJeVdY6eRp57RMRERERuYZDXcfN3b8f+P5dxR8CXnSYrysiIiJyK9KWVyIiIiJLQombiIiIyJJQ4iYiIiKyJJS4iYiIiCwJJW4iIiIiS0KJm4iIiMiSUOImIiIisiSUuImIiIgsCSVuIiIiIktCiZuIiIjIklDiJiIiIrIklLiJiIiILAklbiIiIiJLQombiIiIyJJQ4iYiIiKyJJS4iYiIiCwJJW4iIiIiS0KJm4iIiMiSUOImIiIisiSUuImIiIh+nv3pAAAgAElEQVQsCSVuIiIiIktCiZuIiIjIklDiJiIiIrIklLiJiIiILAklbiIiIiJLQombiIiIyJJQ4iYiIiKyJJS4iYiIiCwJJW4iIiIiS0KJm4iIiMiSUOImIiIisiSUuImIiIgsCSVuIiIiIktCiZuIiIjIkjB3P+46XJOZPQpcAR477rrIDrejNjlp1CYnj9rk5FGbnCyf4u5PP+5KLIulSNwAzOx+d7/nuOsh29QmJ4/a5ORRm5w8ahNZZrpVKiIiIrIklLiJiIiILIllStxed9wVkD3UJieP2uTkUZucPGoTWVpLM8ZNRERE5LRbph43ERERkVNNiZuIiIjIkjjxiZuZvcTMPmBmHzSz1xx3fU4rM/uwmb3XzN5jZveXsvNm9htm9hfl623HXc9bnZm93sweMbM/mytb2A6W/Xj53flTM/uc46v5rWmf9vgBM3uw/K68x8z+9txj31Pa4wNm9qXHU+tbm5ndbWbvMLP3m9n7zOzbS7l+T+SWcKITNzOrgJ8Avgx4HvC1Zva8463Vqfa33P0Fc+sfvQb4LXd/LvBbJZbD9bPAS3aV7dcOXwY8t/x7BfCvj6iOp8nPsrc9AH60/K68wN3fClDeu14KfEZ5zk+W9zi5uTrg1e7+PODzgG8t116/J3JLONGJG/Ai4IPu/iF3nwJvBO495jrJtnuBN5Tv3wB8xTHW5VRw998BHt9VvF873Av8nGd/AJwzszuPpqanwz7tsZ97gTe6+8Td/wr4IPk9Tm4id3/I3f+ofH8J+HPgLvR7IreIk5643QV8bC5+oJTJ0XPg183s3Wb2ilJ2h7s/VL7/OHDH8VTt1NuvHfT7c3xeWW67vX5uCIHa44iZ2bOBFwLvRL8ncos46YmbnBx/w90/h3xb4VvN7G/OP+h5XRmtLXPM1A4nwr8GPhV4AfAQ8CPHW53TyczWgV8CvsPdL84/pt8TWWYnPXF7ELh7Ln5WKZMj5u4Plq+PAL9CvsXzcH9LoXx95PhqeKrt1w76/TkG7v6wu0d3T8D/wfbtULXHETGzhpy0/by7/3Ip1u+J3BJOeuL2LuC5ZvYcMxuQB/bed8x1OnXMbM3MNvrvgf8O+DNyW7ysHPYy4FePp4an3n7tcB/wD8qsuc8DLszdKpJDsmt81N8j/65Abo+XmtnQzJ5DHgz/h0ddv1udmRnw08Cfu/u/nHtIvydyS6iPuwJX4+6dmb0SeDtQAa939/cdc7VOozuAX8nvh9TAv3f3t5nZu4A3mdnLgY8AX3OMdTwVzOw/AF8I3G5mDwDfD7yWxe3wVuBvkwfBbwLfdOQVvsXt0x5faGYvIN+K+zDwPwK4+/vM7E3A+8kzH7/V3eNx1PsW9/nANwDvNbP3lLLvRb8ncovQllciIiIiS+Kk3yoVERERkUKJm4iIiMiSUOImIiIisiSUuImIiIgsCSVuIiIiIktCiZuIiIjIklDiJiLXxczOmdn/PBc/08zefAiv8wNm9qCZ/eBNONd3mtlHzex/uxl1ExE5LlrHTUSuS9m4+y3u/vxDfp0fAC67+7+4Sef7RuAed3/lzTifiMhxUI+biFyv1wKfambvMbMfNrNnm9mfQU6OzOw/mtlvmNmHzeyVZvYqM/tjM/sDMztfjvtUM3ubmb3bzH7XzD79Wi9aeuDeUI7/iJl9pZn9kJm9t5yrKce91szeb2Z/amY3JekTETkplLiJyPV6DfCX7v4Cd//uBY8/H/hK4L8B/imw6e4vBH4f+AflmNcB3+bu/zXwXcBPHvC1PxX4IuDLgX8HvMPdPxPYAv6OmT2NvD/oZ7j7ZwH/5EZ+QBGRk+pE71UqIkvpHe5+CbhkZheA/7OUvxf4LDNbB/5b4BfL/rcAwwOe+9fcvTWz95L3L37b3LmfDbwFGAM/bWZvKbGIyC1DiZuI3GyTue/TXJzI7zkBeNLdX3Cj53b3ZGatbw/STUDt7p2ZvQh4MfBVwCvJPXQiIrcE3SoVket1Cdi40Se7+0Xgr8zsqwEs++ybUbHSm3fW3d8KfCdwU84rInJSKHETkevi7p8A/rOZ/ZmZ/fANnubrgJeb2Z8A7wPuvUnV2wDeYmZ/Cvwe8KqbdF4RkRNBy4GIyImk5UBERPZSj5uInFSXgVfcrAV4ge8BLj7lWomIHCP1uImIiIgsCfW4iYiIiCwJJW4iIiIiS0KJm4iIiMiSUOImIiIisiSUuImIiIgsCSVuIiIiIktCiZuIiIjIklDiJiIiIrIklLiJiIiILAklbiIiIiJLQombiIiIyJJQ4iYiIiKyJJS4iYiIiCwJJW4iIiIiS0KJm4iIiMiSUOImIiIisiSUuImIiIgsCSVuIiIiIktCiZuIiIjIklDiJiIiIrIklLiJiIiILAklbiIiIiJLQombiIiIyJJQ4iYiIiKyJJS4iYiIiCwJJW4iIiIiS0KJm4iIiMiSUOImIiIisiSUuImIiIgsCSVuIiIiIktCiZuIiIjIklDiJiIiIrIklLiJiIiILAklbiIiIiJLQombiIiIyJJQ4iYiIiKyJJS4iYiIiCwJJW4iIiIiS0KJm4iIiMiSUOImIiIisiSUuImIiIgsCSVuIiIiIktCiZuIiIjIklDiJiIiIrIklLiJiIiILAklbiIiIiJLQombiIiIyJJQ4iYiIiKyJJS4iYiIiCwJJW4iIiIiS0KJm4iIiMiSUOImIiIisiSUuImIiIgsCSVuIrJUzOyTzeyymVUHOPbZZuZmVh9F3UREDpvezERkqbj7R4H1466HiMhxUI+biIiIyJJQ4iYiB2Zmn2Nmf2xml8zsF83sF8zsn5jZ7Wb2FjN70sweN7PfNbNgZt9tZr+06xw/bmY/Vr7/bTP7X83sP5dz/rqZ3X6NOuy4/XnAc3ydmX3UzB4zs398Uy+KiMgRUuImIgdiZgPgV4CfBc4D/wH4e+XhVwMPAE8H7gC+F3Dg3wEvMbNz5Rw18FLg5+ZO/feBbwKeAQyA77qB6l3rHH8D+DTgxcD3mdlfv4HXEBE5dkrcROSgPo88LvbH3b11918G/rA81gJ3Ap9SHvtdzx4Cfgf46nLcS4DH3P3dc+f9GXf/L+6+BbwJeMEN1O1a5/hf3H3L3f8E+BPgs2/gNUREjp0SNxE5qGcCD7q7z5V9rHz9YeCDwK+b2YfM7DVzx7wB+Pry/dcD/3bXeT8+9/0mNzbx4FrnuBmvISJy7JS4ichBPQTcZWY2V3Y3gLtfcvdXu/t/BXw58Coze3E55j8Cn2Vmzwf+LvDzR1lpEZFbiRI3ETmo3wci8Eozq83sXuBFAGb2d83sr5Wk7kI5LgG4+xh4M/DvgT8sy3mIiMgNUOImIgfi7lPgK4GXA0+Sb3u+BZgAzwV+E7hMTvB+0t3fMff0NwCfyd7bpCIich1s53AVEZGDM7N3Av+7u//MNY77ZOD/BT7J3S8eSeVERG5B6nETkQMzsy8ws08qt0pfBnwW8LZrPCcArwLeqKRNROSp0ZZXInI9Po283MYa8CHgq8qSHwuZ2RrwMPAR8lIgB2JmXwf8mwUPfcTdP+O6aiwicgs5llulZvYS4MeACvgpd3/tkVdCREREZMkceeJmZhXwX4AvIa+0/i7ga939/UdaEREREZElcxy3Sl8EfNDdPwRgZm8E7gX2TdwGNvQRa0dUPRERETkql3jiMXd/+nHXY1kcR+J2F9urrUPudfvc3QeZ2SuAVwCMWOVzZ2t5ioiIyK3iN/3NHznuOiyTEzur1N1f5+73uPs9DcPjro6IiIjIsTuOxO1ByjY5xbNKmYiIiIhcxXEkbu8CnmtmzzGzAfBS4L5jqIeIiIjIUjnyMW7u3pnZK4G3k5cDeb27v++o6yEiIiKybI5lAV53fyvw1uN4bREREZFldWInJ4iIiIjITkrcRERERJaEEjcRERGRJaHETURERGRJKHETERERWRJK3ERERESWhBI3ERERkSWhxE1ERERkSShxExEREVkSStxEREREloQSNxEREZElocRNREREZEkocRMRERFZEkrcRERERJaEEjcRERGRJaHETURERGRJKHETERERWRJK3ERERESWhBI3ERERkSWhxE1ERERkSShxExEREVkSStxEREREloQSNxEREZElocRNREREZEkocRMRERFZEkrcRERERJaEEjcRERGRJaHETURERGRJKHETERERWRJK3ERERESWhBI3ERERkSVxaImbmd1tZu8ws/eb2fvM7NtL+Xkz+w0z+4vy9bbDqoOIiIjIreQwe9w64NXu/jzg84BvNbPnAa8Bfsvdnwv8VolFRERE5BoOLXFz94fc/Y/K95eAPwfuAu4F3lAOewPwFYdVBxEREZFbSX0UL2JmzwZeCLwTuMPdHyoPfRy4Y5/nvAJ4BcCI1cOvpIiIiMgJd+iTE8xsHfgl4Dvc/eL8Y+7ugC96nru/zt3vcfd7GoaHXU0RERGRE+9QEzcza8hJ28+7+y+X4ofN7M7y+J3AI4dZBxEREZFbxWHOKjXgp4E/d/d/OffQfcDLyvcvA371sOogIiIicis5zDFunw98A/BeM3tPKfte4LXAm8zs5cBHgK85xDqIiIiI3DIOLXFz998DbJ+HX3xYrysiIiJyqzqSWaUiIiIix+1L/9aaf+LxuKPs3X86ebu7v+SYqnTdlLiJiIjIqfDY4x3/z9vu2lE2euZf3X5M1bkhStxERETkVHCgI17zuJNMiZuIiIicCo7TejruajwlStxERETkVEjA2NXjJiIiInLiOU67eMOmpaHETURERE4Fd2Ps+61UthyUuImIiMip4ECrxE1ERETk5MuJ26Fu037olLiJiIjIqZAwxr7cqc9y115ERETkgBxj6tVxV+MpUeImIiIip0JyY+zNcVfjKVHiJiIiIqeCAy3qcRMRERE58Ryjvc4xbmY2An4HGJLzpje7+/cfQvUORImbiIiInAqOMU7Xfat0AnyRu182swb4PTP7NXf/g5tfw2tT4iYiIiKnQrqByQnu7sDlEjbl37Ftv7Dci5mIiIiIHJA7tF7v+Afcbmb3z/17xe7nmVllZu8BHgF+w93fedR176nHTUQOldU1VtfkP1qBVL56mh3jybEmH8fsuLTjOf3j7g4p5eNSgqrCmhqSbx8fYy6v6/w6/WMpYVUF5Xhi3mzaY9xZPvccM8vl/XmvUQ5gg2a7HPCYrl5e1xBs//JSp+stn9V1v/IqQFUdffl1XtOnXH6QNlDbHFvb8ARHxlk4q/Qxd7/nqs9zj8ALzOwc8Ctm9nx3/7PDqufVKHETkUNlKyvYaISluOdDok/ADLDVFWxlJZfFiMeEeUnQYsRGI1hdwVKCLoI73nXYaIiPhpASoYv5+V2EQYOvDCHm84VYyps6l7tD22ExYSXRS6sjrJSTEqHtFpd3EUIgrY7yzzhtwT0fb4avjnAzbP48i8q7kgzsV74yxOuATbrt87vn4+uAtRFi2i5fGeJNNSu3LmIp7V8+HODDGuvytblm+aDBR801y/ufwZsaXxlgcee127e8rvDV4eLy0XDvtd6vDebLn2obrI7wynIb9OVXa4MT0jaza9eXH7QNjrpt3I88cWufwjpu7v6kmb0DeAmgxE1ETh5rBlgVSqI1N6zD53oS+l6vqtrT+xTWVmE0zB8mJUHCDAsGZjmxSgnqCqoqf3A0dU6mygcTKeGrI9L6CGtj/pBLCdqONBoSN4aELuXyLmFth48a4voQkhPGHZby4z6o6dYHWHLCpMOiY9Nuu9whTDqITph2eB3oNvIHUzXJ599b3uTevEmEAN2ZEZhRjbsd5XFjhAcrr7tPecr1IUE8M8SrsLd8Y4gPAmESsS7tX97mr3FjSBpW2DQRyvWzLhHXBqSV+trl5VxpdUBcrbE2EaZz5SsNca3ZUU4bSaOauD7AOt9xTfctH5Ty5ITp3LVuqnyt3fO17tu6b4O+vL/Wle1sswVtc9U26MuBePYabdNeow2m+f9Yd2Z0U9pm3zZYUM6NtM2gJp4p5XNt0LdNvtZXaZuFbbCgvP/98Ln3lCOQMCbXOTnBzJ4OtCVpWwG+BPjnh1G/g1DiJiJXFdZWoBns22MWNtZhOMBHwx0JV9/75aNh7iEoPQo+avCmIg1qvA47PpSsjXTnVpieHVBNE2ESZwlZtzFkerYmTJ1qkght/kDrVhum52pCO1c+icSVmsm5mhCdaqspj0fiqGJyW41FqLcS1iWqcSQNS3miHF/KBxWT8zU41JupnC/itTE+nz8A6q1E6HaVG9SbNRadehxxMybnGzxAvVVjXS4HGJ8fkGpoNneWT25riI1RbzX5/OOIRWdyviEOjHrL95YPQ65P+XmtTUzPDehW95a3ZxvatYpqkqgmTpjmD/f2TEO7vqB8o6HdqKimiWrss2vdrTdMz1SE1strlPK1OrdZ61Tj7WsaV2smZytC3Hmt+7bJ5fk81SSRBoHx+dw2822QmrDdNvu2QcptsHnttknV3jbY0TaRfK3d59pmQRssaJvpuYZu5Sa2Td8G19E21TjNfq8O1jZp/7bp22AQmNy29/fjYG2T2/Qoud9Qj9udwBvMrCLPDXiTu7/lplfugJS4iZxS1gy2x9YEK2Ntws7xYyHAcIgNyrFW/kHuCSu3hmhq0qjOt3wmEYuRVFVQB9Kgwmub9RykQYU3gW5UkQaBMM0fNpYcos8+mNLUCIOQe186p12vmK4Hqqnn88WAxYpuda68IpePKuJKyOWt51tgyYmjQBwFpmuBEB0sYMlIw0Ac5nJL0BiEWMoH2+UYWIQ4CHgN0/WA+d7ydi3gBm4QIqQm4FU+fnc5Vsorck9Q56RBnjc2XQ+k2sDyNUiNgZfyxvDgVO12ebsW6IaGW9hRPt0IdCPDQ75OcZhfZ7pR0a4YdRXwyrGhEbrAdL2iXTXqemd5u1YxXSvlwbFkhNF2eTUFD4EQS/lq2FOehoFuR9vk8jiqiEOjXQtYzG1gKRBHThpslwNYytc6NZbbZkEbzNqGXN63wb5tsxbo9x4PkR1tsKNtGruhtplulLaZawOLT7FtwuK2SZXv2wZpmMu7lVLe7mqbUaBdC4Qut01ug2pHG+S2KW0wsHytd/1+XK1t+jbo2/Io5U3mr3tW6Z8CLzyUCt0AJW4ip5EZYX0N6hpS/jS09bXtW51lXBiAr63gTU0aDbYTsWCzW0RpWOO1ker8QVaPI9blHoZ2NeDB8l/X40SYOl7Z7IOyWzHqcaCaeB5/FKBdMbpVoxobzZbnN3iDbsXoVoxq4tSbucwN4pB8/ATqzfKGbBAH0K0ZYWo0g/wJ7gapKeWtEZvt2zR9ef8h30/2X1hu5CRg3fLtsWb7g8tDKQdSvU95U5KQvnzNIOTXss5mP1u7vri8W7PcC3QZQpvLIZ8nNZAGEKY2uxbdqhEH+VpVk13lQ4ib0I3nyleMOCrlw7nykRFXoNvKPUqza923wdiIm3Plg1I+NeKVveWhNZpmuzw1+WcI7c5rnep8LUK3t7xbW9AGfdv4VdpmdxusW6nDXPkB2iAOttvgprbNfBssaJvdbTBrm7FRb15n2yxsg/J747vKF7TBrG3qA/x+zLXN7PfjCN3gOm4nihI3kVvMvj1pMeaxZWUs2ixRazsgD8Im7F0hKK00eB1ITe4561YqUmNU43z7JTWGV0YchvxBulphyelGgTjY/kCLTYV57v3qP1Bik5O4biV/MOXEKn/AeTBinzQAXrNdPmDWm5Lmymfvx54/IFIDqSL3jJCfMyuvS7lvl8dB7gHwMFcemL2eV7l8/sMMoA27ygel/Mze8pyIzpUDaZjLfcPyB1lfPsivv195u36V8jhX3uSfr1vLH/p7yksC15d7XT6Q1xaX+yqkge0tX2HWwwTb19qr7Wu9u9wrm7VZnyDtW17vaoO5ttnTBn3bLGgDgHZjn7bZuL62uWobzJc320nLzWib62qDm9024QBtY9fRNkfIMTptMi8iJ0aoCGfWIVS5J80sJ2gh5AQtlFl1VZUTMiMPQHbPcbDco1ZZvoUUmPWQpSr3iOVbQdBsBkJbEovSazT/QTJT4rgCcZA/zMyB8pd2aoxUEibS9q0TryEOHYv5g8683PIaQBw4FvPtzP45s+NT7hmZHV9DGjokCB1YsoXlePlADRBHuafB5o6/avnQ8+2gttSz9MzE23aVx/yBNz1Xyrtc91n5WYdwwHKH9ky5PbygPFX5lp/FXFfSVco3nFTnctL2dU2N556mxI7rvV+51z5LfvvzW7x6eRqw55p6VdrmgOV72qZvg0VtU67prG12X+ub3Tb9tb5W28y1wc1smwO3we7ym9kGo/wmsOP3o7RNf8v0qLhDm5Z7CVslbiJLalHPmlUV1DUWAoQG6op0ZhVCyLPeKD1oVcCrPL6qXWtmf0F7uVVEyH+F971efXLW95ZZyrdmWNmuj1eA58Qq1cx6G0I3l0AN+g+H7XKvIJVEzKJhbX6sK3/F53d6sHZnrwAGCSd4/wGU64gB7jl5i2AVs7FLfR1DBAvbx7uTZ5dGy70rIR9noZwrWu4wsHL+CsAJ01Ie5sojhP62kJGHMlfkD90ps+tMYLYEel9OX6fSIRDa/DxGc+W2Xe4h9yiG0pNh/TUtt6T6HLov76/BrDzma50G2+UG0JXy0sNi+cfNP9tcOaV5+vJY7yov7RwrwyvfUZ4/7PNYsN3Xmn3aYL58Txv017SvT/n/t6dt5m6DLmyD/jX68pZZz9J+bbNfG8zKuXrbhK707B2kba7RBr5fG1ylbVJVluTZ0TYHawOb//2Yb5tyrff83uxqm/5386jkWaXLnfosd+1FTqu+Z61fTqMK2z1r/di01RE+qJk8fRWvw2w2XGzyO2U1SRDg8jMHdCOj2cyDrL2y2Rtt7mEzUpN7sPLMMaeawNbTjW6FWQ9afQWqqTM9Y3TrJXFKpXySP4C61T5Bg3rTqKds36KM5OUWOsO6/PqpcSwYFvIHZTUtiWGTPyyCAV0pb+bKyeWhnD/VuSfOyefuewpT7ZhDcqOK+TwRZklGciMkqP5/9t4txpItvfP6fWvFioi9d+7MrKxTp6vPrU+73b5g5mKwbI0Zw+B5QBosNA8gJOZhEKAZCyGMYDQwjDQSCCGNYJgxggcseBgkkIExEiM0XB/M5cUajGWN8PGlT/u42+d0nVNVWZm5c++MHRFrfTystWLH3rmzLt1V5T49+UmpqvzXqtgR3z/WjhX/9V06Ys6G1bQwjNc2xtWACdFPpkv+s/HfTJIVorJHWhhfx1W2cenjw6/fh/fQExUT1fhANena+tkIJ/rWrsFPr+OmBSZJeSH6TtIiU+ptnHXCK0GLuDpVgDbiwSVcoq9Nl/Bi47uAYBNn3my4eSYHbXxHyfg+DhAgJLyNC6eoGus1bl6Ug46buVG78anJLx4Hz8+NaYHpDgc3cdNsczNwkLgJ5Q4He7gJCMWzuJFnzw80flfk+fdc3ChbSn28htdpt1ult3Zrt/YqTQQpRoG0WVlzBTKdgs2yQCpqaYiFQgFN9dKMV7xV+pmN2ZWaFI6doGBfpgVa0PQ2LGnxFGNsTJfeoAsIKU4llHFBkN+eQyHDG7/4mHW4WcDEL3DxEnFGX952syW6hectKL/5jKyGSM+wPTUoJAbwm/GMxm+2gtioBhLHmbw1NVqwSsg/GxVuyDrM27NZSUjbPXkbalB0slqY8eHatvH0bB8WFHmbdxj/NFzStfX5nknXm3Gf753RNeTj6MZvaqI6tOu7MS4DHheqwv7xWe0kjHhJHJhdDsweDsweDnbO36RtyRu5yT7Ivs7XlrjZx8H4vtjlLF/DFgdj5W6X45u4kR0OdrgxO5zdyI08g5vMwXgepPvUjLkfnf9ebvxL5sZvzoN0rq/Tggpr//le+ny+z/7Wbu173MTuV9bUFYRprKofqmKITQOwTSoUmgqImnXcr1i8WaXYtKisDZ+RHprdQYxlK5ZJfUhfuv0UfB2z5DQwJAz4OsaomFaGBZ23EQtOMWuD9GlBl1QyLTaKAWxUMi0UWQt2Hd/ItUiqRKGQ8ZDUgULjG7xGnISHhEsnmHWKY7MjvE94SEqMjceSdgfPCkQ6vvisDKTxPmbiDdeWgsJFiXjeDivSjxB91I8Xqumh2zFkHoakAKmJ12DbDa6ja7Dr0WI44cbLkJEYio2SISFmE4pu1CfsBofkI7uD68ZHWIWMh21cdvFCI67bPg2JS+nMDgc6LNq3x2+4ucbByA/bOElp23Aw5mbg4AZu8v0++LSTZ3Kjo2swu9xktXXMzdh3fpuDaz7VZ+BF4ka3OQgJHzjwI1/v4WDgZnd+FE/nhm6Hg9GL2Xh+ZF/snR/5/nqNpkD/uleLL9luF263dmvfTZYVtlHMmjgXF26VAWPQwsY/yyKm36e6aib1RMwLOClMyoqMDxN3FfB9fDv2TmBqyJleeZtSjVx/o05j8pewpC0l04EpIJcEMF18oza9ELp4OVqApFgg8cQ4NRnhRNx06QHm4nGGRIUBV0za5hyOk/C8JStpfFz4afRlGxUB6aLKF1x8wA7JDp1Axv1GocjHDIViZIObFGcXithz0Sb/5O23AR+OE+nJW112dHxsDF4PxG08SL6DlNm32d6TXuJxzB7cjvAU75d9kbebb8S7+MDPuBITP2y7jZNw0237ehcfOFO2fT3iZoyjss3BzniCXONg4MbtcJPuyzEH29vWOxx0ghjdz43y/NykuMwtDvL9nubbXg4ynkqD3MQNz+JGd7jxOxxwfX5s+/qG+RFk7/wYjvOM+TF8buaG/fPj9WcnCH243Sq9tVu7tZdkWWET59CDaQR3+2J2PeoKunkJEhU1CYq56sAYmjfqVFctbovaRpE+MPm0Ra1w+U6MaetiEAxupbHwZxf3DYMFMVCs4mLOdIJJb8dBskqkFCvB9HEbNVQMyQa2iQ8sXyn9FNwixis3+bUAACAASURBVDrZJn6R+1Lpp0qxFIp+U7tKixgDV6zS+KxqJNxegUsqSLEa4Q2DOlJckUorKGad1JQOiquoJvqpom3Epd/BO6Ky0Mf4u4yHDsqkFNg8vtYUN5bwZoSHdPwwGl8p4uJ5Zh+pjWVNAMp25Lsi1/tSyk5iDN86LhAy7vq4WMhKpBbQO8Wlh+ugtDjoS8WlzL9BuXTRR8VlimlKSmco4jWLgu1jDbyCDc4q+boVCokKjJ8qXI04WI3wJnOwjeuzuPHPwc3kO+Qmc/Asbrq4wNjlZsPBDjd+29da7HDQjLiZ7eGmSNwsIwe73AAU+7h5Ggd78IGDnfv9mfMjxadqMZof6+schD5yQ7jOzXh+8Lq3SoH2c75w+3zrhbd2a593E4m9QF0ZFbaiuPbv6gq0iDXQYnyaIiG2uTF9GBQxAFQprjz2ymObMNRZi1XpY4HccUanGeJXNG0VxZpsufRHzmC063j4YbstrvGGWJyQgvMHpW4cAzSOq0pv3mp1iNMZ3tQTnmN0ooqyUT+2xo/wIc54rJbk+Jz0Mi99fIBsxR7twfMOSozD2xwniwJZjRjH9Kjs4smXwkbFS4pPjnEacKObOB+Jnxu37Tb+vIbbzbVlLodMxWF8ujZG5wQp3mrku4zraPwoC1d2xucnxqD27Y7fxe3oXkklWsbnf42Dp+AvjZscb7XDzXC/j7hRuykAvcsNuzij693l5lrM21O42fHpLjfcwM2NHOz49BoHO/PmafNjwP3Gp4y4Mf2Gm/E5bXFgd+ZH/3oVN0Xog9n6+bzZKz9jEbEi8msi8j+m378sIr8iIl8Tkf9GRMpXfQ63dmvfrSbWYo7m8Wc+R+oKuh7tuk1LqUmJ1rFJM12PdD20HcVFg71IqXaQvvgD5cMl9bcuqR9e4c472gNDc2Jpjwu6wyK+YV8pRaPYtcbehm1U2nJh2hx/okZwl0r1RBlKfTgILsa1mZa0FTSKJ0rZZwCaakpt4o8YYthi7NkGJ21x5rIeEsCsSaqFbuJ9dBvPMU5oUkX89fFjXNPnQlyQmk62cRnhVlMMUMRNm3G2xpukUmiOkRuNtwnP/lEzws0mZmiIeUu4Fjr4yCS1A7kBZ/vachbpwEE6py08+3qM6zZOSIqSjnw6wnPtNt3BB18btnwdy7+MuMkc9Jvzz5UaxtyEb4ebYpsbRrFwezkY4+sUWD/yaebmRg5Et/Co0n0H3NhtPHNwzdc68vVN3Njr3OxyIP32eT6LG+lHHNgdDnbm0zY3O/Nj/cJfm9+RqUbFbfzzebPXsdT8OeCD0e9/Ffjrqvr9wBPgX3wN53Brt/bdYfsUNk0Lr9KBK8EVYCz4gPQeabqYKerDMFZ8QNY9Zt1hVy2m6dHKpj6gFi3i1JagFOu0QFvHJuwx23Oj6GxaUsVSH8bvnPNY0YPRW7diurigGzIrJSsB6b8a4gNtjCuDqqaSFQI2WXES/xzHLY2z63IyRc5YHNQA2GTFGRhnrOXst63MSrieZTrCtzIiZWe82fhvuOaQrtXo/ozFXTwFxJNUnX2ZhkN2qrLJAh5fc/aFbBRMHZ8PDCqTjs4n48P4HOd4A37tOHn8mMux7wZct65rLzc5Y/GaqrPhhn3cyMYXW1mgo3triwOznxtG3GwpxqPjDxwMXI7uVd0+TzXXObiG7/Np2PHdDRxcw3V0HLOPG93LDbvcKDfMj828YQsf8TLGs4q5j5sb5sfrtFvF7RkmIu8A/yTwn6ffBfhp4G+lIX8T+NOv8hxu7da+m0wKt1dhA5C6QqY1UtdIYaHr0KsGTs+Q88WgwBEC9B65XCFPLpAHj7GnF/QzR3tS0x3X9PMKNYL0gfpxy/TTlvphQ3naUjQhxTlJ7G9Yxni4ySPPwSc+9g0dtl5H554XcOnHNuBWo4dc3gZsY9ycBEkZd0nJSHFCg6qT1BjxcdG4qxDkOCQJDJl7YwXNeBky5TTVAjMp3igqAfH/QRrfM4wPqXbUrtIQ0jZOVHV2xktSDNNxyKrCaDwjJS6rN6YjPiRH1xbjBNODNatDJh7ftiR1SAeFKG9X62hbT23yaVZp7Oj4KVYrXmRWY6KPsrKWkyMGvBnhOaNXNxwwKFwbnDAabzfHES8Jj+clusEzNyEfZ6TEPZWbYoebQlG32c7M6hAG1IWBG9PGemLZp2PVc8xx3j7ccMM13K7jPT5WrEyX7l9u4EYULcI2NyMOwi4HbHMw4OE5uLEj3I84HnFgEje78yMraHs5yLjd4M81P3a52TM/hmt+jebVbP183uxVJyf8DeAvAvP0+13gTFVzVZvfB97e9x9F5M8Bfw6gZvqKT/PWbu01mQboe2JFWYFcSlx1o6h5j6Y/x7/L2saOCNmMAWOQPk4ne9VjeoO56uMiqw9br2aask9jxfSoluU2PMCgdKDpbV3ig2Yr9ittc3rSF3FuYZOy/DRnmEmUBOLiDUKl9EGw6ZiigjrF1/HvCGgqV6dO6et0QhK3Z5FYYsTXKU6MGFSO0XScVIF/hFNobEqfSin4Oo0vYikTzfhE08M1BrzH7anReIlB1XEbKrbnwoASz0ctdF7QUQFSX6ckD7/Z9sRsxud2SbETgsbWP4aBj2H8CM9bwxgl1FFhkRCDyIMjPoxzeyeNCSXBxXGxtVA6ho1B9BgIVaCPF0POfsTEf+9DkpNIPWANaBl9qpLw7AuXcKMgEs9jjNvETfapC/japgXFGN/hph5xk3xHkOE61erATecldRnY4SDdg0OR2ZFPh5irfdyMOTPxc7c4SNeY472i765zkxflvkpqeeamHPmaUazamIMk6anI9vgxN+V+bvwubsYcsD0/9CnzY4zn+RGEfrIzP8bcjOdH8fT58doVNxU6//nbHh3bK1u4icjPAJ+p6q+KyJ940f+vqr8A/ALAoZzoM4bf2q19Lkz7Hn92jlQVZn4QQTEQFL28jH9mVS1voYa436LLFViLOZxDUaSm8BLj3oLivnUW/08fvwlj5wRHODJoIYhX0BjTZrzELgkmqm0IqbWVpK0TTbFsm3OPAe/QT7K6E6uyozE7rDsMhDrgLwz2SmK8W5ezSxUzlZh9V0ZVwE8D/kDpOxPLHbh4vWHmCfMRXqQHwczTz/uEm/gQsIpOPX7e0XeGtjXDQ0ldTzhQfJ9wiTguEA56fG/o1gl3cfUZZj3eC92d9MWe8WnCjxNexjoHYdoTwn6cIPRNPk6ID7mJxyv0V8U2Xns8xPEqG/wk4UcJL0K85jseL2m8T+OfgnPsCQLN2sZS/4XGYx1FfL2LH3rCEaxbA53Z4C4QDhXfGtrOxGOP8czBGJ8nDtYmLqhdQEq2ORjjmYO1jW8FThEz4mC98bWYF+Dg2+Xm5OVww/HTubnGQeZml4Ndbp6Xg5fJzWh+fMfcvOanuwL+c7g9OrZXqbj9I8A/JSJ/CqiBQ+DngWMRKZLq9g7w8Ss8h1u7te9O8z4qb4Cm+mvDYi0v1HI8W840za2sQkD6Hmm7qGylrVYKm5QuiQs6a8DGkiAaQG3cy/SlQW3qcGAE72SIjcmxYrFsxwaHjeoWiqiM9FMwqXtCGG3JhDIpGznw2kXlzxdJgUvxLbiA5C2tUtJWqyIuYFyITe77zQkYF7CFJ5SW0Bkk44VG3Bl8uflCNlYpXE/wht7FB4eIIlYpCk8IgnebN+8tvAgb3EDhelSF3oXhQbOFF9dxgK4o9uJ9ETmJ/wCF84joC+HGKF0R0KwQCdjCY+0L4DZgi0BfBMJe3O7FvTP43gy4MUrhfMTLPbgf+fopuBjFZTxzkPCi8NscpFv9aRy8CDe2eHEO9uEvzEHCX5SDp3Kzj4Pn5GaLgxvxEQffJje7HLw2U/Cvu3bcS7ZXtnBT1b8E/CWApLj9BVX9MyLy3wH/NPCLwJ8F/odXdQ63dmvfraZ9jz+/SL/c/M0lRRF7kObOCQDrdfyuW64GdU7KEt56Ey1SM3mRoZm8BI0dbUpDsEJ7ZGMB3rQF2s1yxwSNZUIC0EN/B3zFpvBpXl9W4CeB7jBtCXVZSYsD/KHHm7hAwmjcipH0Y5S+tYTO4qYtk7rDpAVY0zq6zlLXHfNJM/RyXLWO9dpRVx1HkxgQE1S46gpWTcWkajlK44MKTV+wbEoq13NnekVQQRN+2VSURcTzcZq+YHFVX8Nbb7m4qilM4GS2wojSB0PnLedXNUaUk9mKwgT6YPDBcHZVIzDgIW3LnF3FGnwn0yuc9QQVfDA8WU3QPfj5VU0fDHemV1RFfw0/mjRMXEdI13x+VdN5ew2/aCrWneNoesV0Dz6fNByU7YBfriuuWsdBvWZerQd82Zas1iXTquWobp6JX3WOy6ZiUnYcT64GPPu6ch0nydd9MAM3znruzlYDnjlw1nNnenWNgzE3QYV1X3DRVDdysA8/v6r3cvAi3DyNg4wfTpq9HLwqbm7iYBff5aAs+i1ubuLgafPjoqmwaX5kbm7iIKjw0Qt/g377pgi9v1XcXtT+TeAXReTfA34N+C/+AM7h1m7tD96esmAbhgSNipqR7W1UY5DSISIgBiksIalt6qLyptagztJPiiG9PxRRYQtFXIipxMVZcDFuJfh4TiqxsK6vdYh5M7kQaKloGYYYIM0HrwKmikqQpC9rVChcj0vqhAANcUeorjcLMYiLJd8bJmXHnXqzgALoe8u0anljcklQQ0A4kwltXzAtO+5NLjcPynbCutvgEB9Ai7Zm3RVMRnhQ4WIHNyi9Gi67+KCsXL+Fr/qSq67A2cC9ySWFBHo1NN5x1TlElHuTS0rjI947mr5AVXhjcklte3qND75V51AVTuol06Ib8KYvMN5wUq84cGt6jdlva29ZdwUnkxWHrhnw1lto4bi+4ri8olczPCxVhaOq4aRaDbgPhhAMR1XDG/VywFXjQ+2oagafxvZAB3S9ZV6t+cJkMeBGZnS9ZVa2W/gTM2XdFdfw8/Uk4R336sSNmoGD6Q6eOZiUHV+YLAY8c1AWfoubyMGGmzEHmZu79XLg4GncNH1B580WN5mDtrfXuGn6+Di9iZs7L8jNYbnm3uTyGje7HNzEzWOZse4KDnbwb4ebfRxcdhXNHg5258c2Nw5rtrnJc/x1WfwKvV24PdNU9ZeBX05//zrw46/jc2/t1j73Fjx+sdj8nrdPqwr5whtQOkLlovLVx63WUEelLVSx6O7lFwu0iKU+ROMWZ7CCW8bfuzn0E6Wbk9Lz4xdpeyfGrOVegvbcxlpMxx31rMWYqLCtwgSC5c69Be8dnRGIC6hvnB2zWlXcma/44uxiWHCdXk1ZtY53js55b/qETg19sHzd3OXT3vLF+QU/fucjmuBYh4LfWbxJ21venZ/xk3c+ZB0cq1Dy4fIeTV/wzvyMn7rzO3RqWfmKD1cb/KdPfpNOLZe+5veauyy7krcOzvnpk98kqLAINR+v77DqSt6YXPIn7vwWRpRzP+Gz9pBVV3JcXQ34pa/5tDvkqndMio6fuvM1pmbNuZ9y2s+46h3OeH7yzofMTcO5n3LuJ1z1XwbgJ+98nSO7YhFqzvspq77Eq+En7nzEF9w5Z37Kpa9pQ8FV7/ixO7/HO+UpZ37Kyle0oWDRVvzDx9/gS9UjFn7CKpT8ir7PqZnxR49/n++vPx3woF/iM5nzh44/4Ycnn7DwExot+FX5Ep9wxI8cfYs/NPt9lqFiFUp+3bxLH074waNP+YcOfm/Af6N4i9/x9/j+w4f8scMPaYJjEWp+8/KLrPuC75s/5qeOf3vAv7Z6k3Vf8N78lJ++85sD/ntXb3DVO945OONPnnyAx3Dpaz5q7tL0jjeniy384/Uxq67kpF7yJ05+C2DgYNmVHJUNP3Xnd6il49xPedQdsOzKvdws+xIrgT9+8jXmphk4aPyXURV+4s7vcq9YDBw03rH2xRY3K1/ReMeyKwduFn7Cwtf0wXK2nvCjx9/ky9XDa9z84aOP+YHJg4GDv8v7PFge8iNH3+JHph8Pvv41eY/f55gfPn7AH5194zo3h5/xY/PffSY3v728T+ftNW5+9+reC3HzjfUJTe/i/Bhx8K32iKv+Pe5Uq73zY+baa9zk+THmxiP80mv5Mt3YreJ2a7d2ay/Vckybhj2KnBCL9k5qdFajZYGvosImfYixZaVFreDrGNOS60cFF4uKdrMY35azQfOPrwCjm5pRqSSAlB6xig/gvWBdQEQpC09hA+3E4W38PSDUNm5/zus1qsJB2VJaT2nWOAkYlEVRMS1ild6J7bB2zb1JhapwXK4wKFPTMrcNZ/WUZV9y5BqceJz1HNiGy6ribDbhjXJJLR21dMxNw6oueTKNeCk9tbTMzJpOLY8OZrxZXVJLizXK1KwJanjr4JCTcsXUrLGizMwai/LW7Jy5a6hNPP7MrHHi+Xh6zMR2zO1V/GzTUZmOL07PcRKYm4aZWVObjqlZ89bsHIADO8Zb3p6e06nhwDbU0nGvWDA3DW9Pz1j2FUfp+PeKBZ1d8c70DmfFhKNiRS0drvAcqfDO9JjS+j34UdzKKpKPig6P4UF9BMAdF8fXtuPYGh5N5rTBctctt/An1YzlQcm98nLA57bhclKz6CveqLbxVVVxfjDhC9ViC+9CETmoF8xMrGMyM2s8wmezOW9WC2rTYQnDv39rdsRxeUUtLaV4ZmaNkcDbs2NmxTr6M3HgxPP27IzK+C1upmbNx7NjAKam3cvB3OxycM6Vd1vcdHZ1jRtXxM96Z3rMtGi38DE3d9yGg1Ytb03OMaLcKbY5+GxySK+GN9zlfm7Kbfy8nrI8KLc4m9uGy7rmfFZf42YdHKcH02tcjrkZc5C5OSlXaV5suPni9ILj8oqpWQ/cjOfHmJvKdPz+9BgngalZDxy8btP0Yvl5NtHn2K75g7ZDOdGfkD/5B30at3Zrr9ykKDBHh/GXoKBhK3lBrEXmB+hswuorJ4QqZYUSEw1y6Q610B7EOLYi7jrSTQVfw/KdgFaKe2Jiv8P075ff31HMuyHovzuvkF4o31wxn645rBsKCXxycci6cbx195w3Jpe0oaAPhot1jP15/+iU+/UFV97RhmIIBP7K9FFUKELNylc8aA85bWe8P33Me9VjSulx4vm0O+Jb7RHvVad8qXzIIkw47Q/wCJ1a3nJnvO8i/lk/p9OCTi333TnvF4+50IqH/SGdWhp1nNhLvuIes9SCB/0RnRYsQ8nd4pLvK05Zq+Vjn/GKubniq+4RHYZP+iNataxCxdSs+ap7RED4Zn884LXp+EH3GQHh4/6QRt2Af9U9xKB84uc06liGCovyQ+WnOAl8M43P+FfLz6jF80k/Z6kly1AB8APuM6amv4Z/xT3k2LR87A9YhJomlHRq+b7yM+6aNQ/8lLMwHfD33SPu2asb8Yd+wuMwG/B33WPu2xWPQ8VDH33dBMdb7glv20vOQskDfzjg94tz3i0uOAslD9M1N8Fxr7jg/eKcRXA88IcDHrl5wlKLLV8f2xXf505p1G7hc3vFV91jOjVbvh5zk/FGHbV0fNU9AuCb/REdlmWoKMXfyE3m4EW4mZtuiwOPfNvc3MRBxnc52OXmWRzs4pmDzM2Yg6+mefMyuMkcZG5K8fyg+4xSAj/w3oNfVdUfe3XfrBurv/K2vvdXf3YL+51/5q+8ts9/GXaruN3arX0XmQaN2aO5zpspMQdlTE5QBWvQ2SQlHsTyHbmvaK5SHgqJjaSrlKlJjFMLVcwAVRcLgvqJDDXLAKQKlFWHMRprHdkSDVCWPQfVmjvVitJ4Hq2mdNZSF11UGKQZApAXbcXEdhzYNVVq4LjsK668Y2rjW7aVwNS0XPqKpamYmpZDE9/aa+lY+Doqa9IP4530LPyEUz/DEqilB3MFBVyEmtM+llZxEpjREuwlF6Fm2VcjvOeuvWQRJixCjVdDmTIu7polSy258DGJoJSARTmxl6xCxSJMCBisKCWBE3s5PJiAAb9r43FWocKrwaCUEjg2VzTasQwVHsGgOPQabkd4rd3w8DayjeeHtCUmnhybhhLPAy1oNOJOYG5aLMpnamjUYSQMuBPPA40P0uijiBsJPGRO42cDPpMe7IJTf8CSasCn0nNvhHtkwE/sJWd+GnE1GKASz4m9ZBFqlqEiEPF6hC/CJB4nlfQfc+DVYFGseI7tilWoWKXjDFwmDj7p7hAkcmZR7tolTVqcZ27qPdxkDu6aFUt1AwfAjdwY4FDWlCZxkBZ7Tp6fm8GnpsPI4hoHAzd+vsXB07gZc/A03ABT03PChoOM17scPAc343mQ503mIHPjUaxEX7xOU8C/4FapiLwL/JfAF9IhfkFVf/7ln93z2e3C7dZu7bvJgsefXwwdFuRgSvPlNwilScVwheBiiQ/TKqaFbhIbw+eCuXkrtJ+k/pglcYvVbyroYxV/p8cD3WGsZTY/XnFYxy0Qr8LVpCQUhi/OF7x38ISTcokTz+l6ijXKG/WSL9YX/ED9gLvFJb9c/BC/vzrm7fqMd8rTuBAzHV9r7vNZN2duGub2intygUv7sc543ikf85Z7Qi0dJYGzYsq5n3JsV8xNw11WuCLwUX+HRYiLOotybNacmIZP/JyH/WGsgo4wlZ55scD4wCfdnaTIxQf1fbvConxD76Y3f4uTwD17hQmBRktWwQ/43bRl2qSCdo1aavHcNWsWIfB1dfhgWIWCqek5Ni1OAx+ppVXLWi1WlGPT0qjno6QOrrQA4vhWez5KC7GlFhiUuemY0vONXlIsk8OZMOAf93e4CBOW6qjUM5Oeme154I9YhoqllkxDP+Cf+TkLX7MKFUvpIi49DyWw8DXLomQZ1tTimYrn1B9E3FYsQxN9JOv4UPc1K1uxDCusKPdkHR/evmZuKpbBDHijjkVbMzNrGt3gnUblq5Zug6dt62WocNKzytyYNaeJA0vYcGbWnBP4MLyJx7DUglr8wMHX1cUEkBE3jXo+TFyutMBKd42bRu3AQaWeb6ZzbdTiCM/FTeTAUYXn56YpHMuwZiY9c+mvcZC5OfPTLQ52uVnacouDp3Gz7CpmptrLQS3dFgcP4ZncjDmwQYf5kefNFjcaufGvv+cVGl54tdgD/4aq/r8iMgd+VUT+N1X9jZd/gs+2F164iYgBDlT14hWcz63d2ve83RTDJtYi1sTSHtYidSygq0XcDg2prlqwgqjEemqpgG5uMB1sqqtW5D83ld9talJOEWul5Vi1TuL5zKqWgzLGpfVqcGVPbyzzsuGkXDJPvWlKG+PMZsWaeYrZmkpU2AoThti0HN/ikvJmRIdYtFp6ytTQ1Ca8JFClRZlXg5FALR5HGBSwTm1SdUL8SUWg1sElJSCOzW/xjbqoiiTlK+Pr4OhMXCRlBSQfv03qyi5uU7GujBuJDywvBiOb4ziNC8BsGfeEOD61s9ioDQGvMqg6A64albWkxmTcaDyfdXA7xyEuFoMjpAexAaxAwNBpERWlhDuJrX8adVEtGeHZd1ktcfka0vg2LUgzftN4IH6ublSX7NN1cHgrOz4Ne7nJx3ep6c6Yg33cWFVaLbCELW7a5FNPUodG3HRqhwX6mJtW7TVuzFO48Ui6H80WN17Njdw06q5zg2z5NOO743c5yL5+FjeW6Ovd+30zP+ze+dHp9XmTuck+rQSWaX7k7i37uMm+e70mmzp6z2mq+i3gW+nvCxH5gNj16bt34SYi/zXws8RON38XOBSRn1fV/+BVntyt3dr3mokrMYepY0IuqOvDUK9N65L+XuwQZ7oQuxN0ARXop0Xsa2hicdzmjaiUFct4uH4aF2y5XY2voroWjnrEKP6JAwV30DKZtNyZXmFN4Mlqgg+GLx0+4chd0QdLl6rtdt7yI4ff4ivVpyzChHVwlKbHmcD96oIvVw+Z26utazwqVrzrHg+Lsd9AufKOWlru2eWwuAI47ydYQnwTHx6iwpN+SlDDXHqcQCkS8W7Gu+6UufE4wKY2Xqf9jDeKC2Ym4ACX8Cf9jGO7uoY/6g+oTHcd7+ZYF5iKp5aIn4nyqJ9zZK+YSc804UsC535KZbqkhkS8SVmpELcGM+5VOfdTuqRWzEVxIqxQzv2Mha8p2eANysLXPOlnmNH4DmUZKk77uI2W8QCsQsWj/mAYb0UwRKXkUdpOnopSJrxRx6NuTqjMXrwtP9vCOyyPujnvutMtvNWI3y/Ot/Cghkf9ASfF5RbuER71B8zt1TUOTvvZNW4sypN+BgVb3FiU0/4gvihscRPHu7Twz3gngdNh+zFscXPmp6yD2+KmQVmECef9FItucXATNws/4bSPW/qZA4BlKAcOxtw0wfGkn+F1h4NQ8qib46sHe339fbvcaLGXG4/s5cYTuTmyS+YmDHieHzGBYM/8IFBLGDjI84yCrXmQuZna9c78CJz7SVrgeaave+H27Slug4nI+8CPAr/yks7ohe15Fbd/QFUvROTPAP8T8G8BvwrcLtxu7dZexDTEpANrkFl8gEgIsYXVwQQtC0KZq5Wn7c/cDYGUCepBU2P3GMsWh4fUkDwOYmgAbZyPv7sY62aLQGE9le2xJlDYgDVKIWGISyPApOhwxjM1MZsvvyHXtmfqWqampZaYFdYRz7mQMKhqlqg+GAkxBiw9RK1EHOJbf3y4alIfohnRIR4LolKSm0EbiQ8TAD/Co5oQrVMl5PGEYZEXYOuzzR48HmuD5ww0I9vju1Ej2Bjbk46j4+PoaPwGj37I4ze3hxmNj+dkrh9/hDvxA96OEs1sOn72xfg8yxE+9lHG4zllnz4fHthwszV+7NP05/i6oi/Gvh51vmA/Z2NuuhvGBzaclRL2cuxG+KZPxravO92c0xZ+w3i/B4d4n459NOZmo8Du992Ys7GvgRt9vY+zXW7CaN5scyPD+eybNyapiPt9uo8zTfN7w1lUHX36XnjNQW6waRGzsTdE5P8Z/f4Lqe3mlonIAfBLwL+2b9dRRP72c3z6qar+8y9wDhSF8AAAIABJREFUttfseRduTkQc8KeB/0RVO5HXvUy+tVv7/FvsVXqGPblD//Zd1NnY2snk2LWotAH0s2Krl6j42NnANoFQCu1BgZ/A+k5ujp1LfMRG0+piodzCxZY663n8snKuxxqNizYTsCbgQ9yajAsHBeM5qaKU58TTqh0eMO9PH/P2JMaxHdslizChCQ4nnkMX49jm0nEeKi5CDPafFwk3gdNQsApxS+cglXOYGWERlLNQEtSkhIWGmRjOQuA8ODotmNpYymFqLIvgOQ1xuyqXeJgayyp4ToMd4S21GBoNnIYYr5THz8TQoTz0hkWomdo1U7Nmmh4mn3rDhY7Gm6hKPPTCIpRUqaTEVMAhPPBwHiqceGrpmIriMDxM1+bEJ4UuDPgilBgJMXlDeiqxPPKeRfJpPH5PJWbALWFQMioxnHrPQuPX+YFtmEm3hXuVeByzZiqW09CzCPFxvdnu3uAeSSpWy1QsZ6HnPMSl7tw2TGW9hbdqh+NUYvZwsM3NKnEwTfhaAw+9ifFfds2hubrGTZXKemRuHnrhQquh3MeYm7NQ3chNLX3ahh9zEzmzRpmK3+LGSZ/ui20OjOheboA0fpsDQ0jctNc4m5p28HXmIGjy9S43Cc+cZQ46LfbijboX4mY54qbeMz/yvPEon2Y8H2fEzSKUAze1cG3e5Pkxldccaq/s2yp99Kys0rQG+iXgv1LV//6GYT8M/EtPOwzwnz7vqd5kz+ux/wz4CPh14P8UkS8BtzFut3ZrL2LGIkbAWjCbHpmxR2cs50HYdC5Qk2LaRu2p0Ph7KATjldALphcCqVcoICElIVgd4ktUYy/O/HE5CzSo4EwY4kz6MI7lSS2sELr0gDEpI7RTiyUMb/MAtemYpEy5DjO8cdcSH6AWZa2pQwISH4imxRBoVWlTckFexAA0Goa395yNGo8TkhqScLvGSR9xNkpMZTqsBDqUbuc4TjwdGtW8lE0YY+98UkI2qkGVaoS1GtWJrHpEdbGNCowGQtIuokrZ0yl0ooPKUKX6WFG1UXzyRVQoQ4yP0jD4opQ+1prbwbPvADoNdKk2VVww9omzDV6mBWD0qY/nleIIq1RLK+Pxc/1e3BAGn45xm44T46DCxtdo8nW/hRvCoOTG69LR/RIXVo2GLQ7y+KwgZpW3MrFO2D5uSumvcZM58CNu8ngvhg7Z5sZ0EKKSOuaglpbOWELy9XD+pmOqsVVVp36LgzrFdXbpvo6c9de4iRzv52Ds633cGJ6Pm+xTQxjmzRiP8/j6/HDSX+MmL8SaEQcew9TEedmlL6GAGe732nR0Gq/ttdsLbpWKiBC7PH2gqv/RU4b+ZVX9P55xrH/nhT583zG+3Tpuo0bxr9xu67jd2ufdcmybOAeTOm6DpkWcTkq0MIQqKWzOpAWbicra3GxqtFnoJ2kLokmLvFT6Y/mOEqq4PapGoYzN3Y3ziEkN1k3geH5FaX1U10zgqGwobZ/KGijH5RWl6WlDXKzdKxdMTcuBjQVwL31Np5Y7xTKpUGsMIZYjCBX3igsOTYNLddlO/QEXvubYrq7hZ0P26NWQLXoWJjz2BxybPH4bn5srjlN2qJPAWag59QdMZb2FL0LJQ39ILR0n9nLAV8HxwB9dwxu1POiPKFOZg13cSuCeXQx4rFd1jJXAXRMzbjP+wMdafGM8qPCxP8Kr4U272MJz/ay79jI9HG/GAR70c1ZacWIvmUl7I25RjCgP/YxFmFzDT1MtsWMTM3h38bm54thcDXj29fPimYPMTZmSBTIHN+Gvmpt9HLwIN8BQw+x5ubmJg4zfxMF3ys2Yg7t2+dzcZA4y/p1wsIvvzo8ff/8br62OWvWld/SLf/nntrDf+/N/8amfLyJ/HPi/gL/HZmf931bVv/OszxORO8CZvsSiuU9V3ETkX3/G/3/ayvPWbu3WICptroiLtqJAi/jmLz6gEqAPsbyHCKEw4G6uMaQSkw/yLxJ0aP4eVbm0aBPAS5TgHCCKLWIfUR+EFouzHkZbpH0wQ8N3gCKl6TdpW3NqWqxE5clIGEo6xHprURkyBIIaLkLNsVkNW4Y5iOYi1MNirJZuSGxYhAlzc0WZ4uMOTTOMn5k18xRPNzd5fB0zVqVNWy6x3tsYd+L3jr8Jt+hQEX6Ml6NK8bkcybHEB+mhafAISy1xbPCZtFv4IWuMJFwibjXWBItbbmtcKhjcafFMvDYdViMHC62Zm1iyY2bW13Fi3CGGAZ+aNTP6wace4SxMYseHEQ5s4SV+C59Jy1zaa+Mzvuvrm/BauhvxfdxkDkrCwMELcSMvn5vMwT5u6jwPRhzscpOv4dvl5nk4eBo3tXQcy/pGbr6T+bGLj+cHrz3oSuJ34wuYqv7fwDP/k4j8FeC/VdXfFJEK+J+BPwL0IvLPqer//u2c8a49qwrd/Bk/t3Zrt/YUE1di7xxhDufowRStS6T3cdtgWkPpkK5HrlrMk0uKiyYuxtKXmekVt1TKy4BbBWwH3SzGtV2+p1y+B81doZtDcHHBZhqDXRmKswJ7YRGrVFXH3cMldw5WLC4nnJ4dcNlUNH3Bqi9p+tjlIPdn7IPlsGi441actjM+Wt1l4Ws8hpPikvvFOef9lA+bN4citHftJe+5U5ah4nfXb7IIMWP0xF7ybnFKo46vt29yEepUh+2Kd4szWrV82L7JWZhiJNZn+1LxhIDho+4eZ2EKxAKk77szrAQ+bL/AY3+QMv063ndnOPF81N7bwt8tLqil46P2Hg/9Ydy6k553iwtm0vLN7i4P+tQKKeFz0/DN7i4f93eAmBn6bnHBsbni4+4On3Qb/K1iwV2z4kF/HAu+qgz4PbvkQX/MN7u7Q6mSt4oF9+0lD/tDvtGd0GJwBO7bJfftJY/9wTX8LbvgzM/4qHuDRostfBEmW/g9e8W7xQXLUPFh+yZLLTHogDfq+LCNnBmUE9vwbnFBpwUftfdYhHrA3y/O8Wr4qL3HmZ9u4UDEQ8Tn0vF+cY5FIwchZ7xGPHPzmZ8Pvn6/OB842OUmc7DLTebgQX90jYPMzZiDzM03u7vXuHnYHz43N2/ZxcDNLgf7uHm3uNjiZszBi3KTOdjlJnNw6g+iUm7aLQ6GeXMDBxnP8+OxP/i2uNmdH8/LTZ4fH7X3Xu6X7rNMiVul45+XZ/8s8Fvp7382/XkP+MeAf/9lfchTFTdV/Y73Ym/t1v6+tR2lbeh+oIoEhZCkMmvAhxibpopo7FwgmmLTVFGR1FNUY6cDzRmkmz/R+KOFQhCkB4IQekNvLT4YxjlFuy+6fUglQNRQqEnxN5tYuG5UzyorbutQ0KY6XcgGb4JLNdcMNbG+U1BDpzmXM2WnpV2HTu0m+w0dyoWsk9oXOwToULdtfJxcmwoY1I9dfKs+W8KNBNpUdHWMW2KdqVq7a3inBTb5xJp8nE19uWwOxaf6bOMswIjHTMJ8nhlHQvJRETP+hJSNF2OM2lSHLY93EjNqt2rDEet9xbptdisj0hAzDMfnOq7dNeZgFw/sx/Nxco28zH/uTJDrmNlUJ22Lm3ScJjhas+Gglg0HY25qUVYoTVLEtrnULX9u6pWF4Ri73LSj6xpzsJ+bmIU5rs+3y83W+OTrfdwMPtX9+C43mctdbp7FZZvqF459fW3ejPBdbvL8aPX5uem0eCY32UcduS7cNj+vw4Zdipdv7WhL9J8AflFVPfCByMvLwnjWVul//LR/V9V/9WWdyK3d2veSjWPa9CC++Waljd6D9shVA3WFfyPGe0jbo8YgvWIIaA/qDH0dv2iLJlA0MP1M6WthfReC1SFxwbQx3V6+sEZE6c9KpDPwpKQzjoetxTpPPWkphjIgMbPUSOCyneJVKEygLWJsTmU6CuOZpcXJeR+vpZaOVSi58o5VKGMrHw3pYVIMD46gJgaRp8zULhRDhwOrMekiEAP3459C2CkPkAOazSvYU/m8N5u+tVu7tRc3ebkq29jWIvIPAp8C/zjwF0b/Nn1ZH/KsFeCvvqwPurVb+563nCmqAbEmKmwS49A2C7b092wS21XFvwrYUe02IxsljYQpmA6sUaQTzGjhYXxMcw9e4qkIYDSlmoJ6Q7CKEP8/ELskBEP+KsgLmaiwGYxa+hAz53IGJ8Q39D6YTRZqOsm8yOpSZX0zykwNmKG+1ma8DAs5iLW1DFHFyD+xDlvMfM11qcJInYvH2a0BtsHj52/GD5+tY7UlDLhP1+rTVtkY9xi8xs4NdrSQ3CiOG7UwIFtK1RjPtd7GuE+f6TFD/bHN+cRFrU0Kyua6xvXNNtccfWqGGnq7vsjHiZ+7uTZgC8/Zgbv42Kdb43V7fOyCwXBdNnW82OCj+xfdwvO9mDnYHW+3uMx8scWNT/eXTXGcu9xkNXeLg3SsMT6+3rFPn8bN5jy3OdjnU0ac7fr0Jm6exaVN55l9N+ZmzMH42sZ4vq4X4War7uCIm4HjEQeZy3FNv9diCtdIenn2c8DfIm6P/nVV/V0AEflTwK+9rA951lbp3xz/LiJTVV29rA+/tVv7XrGhI0JuEm8E+h7te7iKgb7qA1I6ZDKBwqKTCnVpsZfbX4nQHzjUpjIgCuWFR63QHRiCjTK/6cAtITjwZVyj2SvBXoEu6phZOldCFajeuMI5T9sWqELXW3pvMEYRUdreYo1yUK2ZupZD1zCxHX2wtKHg06s5XbC8P3nMF9x56tvoYlscNcxNw/3ijEWYxN6NvqIPhplZc8+sWKRm7E1wNMFRm5Z7tmURLItQsgwl6+CopeOeDZwFWAQ3HKsUzz2rLIJyHhwrrVil+lr3rLJS5SwUqal1mbLYlEaV01CwCJOIo9yzSqfEelWpCfaxXW3hq3R9cxru2rjqzTXGVqGktD0nJha+fZzqUsW6ZGtOTE8tMtSrWqb6YCe2Y5rwpRaxCT2GY9NyZITTEHtnLkPFOjiOTcuJibXEVqEYfD43LfeMcBqURXDDuc6kG/ClFoNPZxLHnwVlkT538PUIjz03Y92te0ZYZJ9mXDq+YA3nwXM28qnDc88Iy+TrLQ4Sfp58mlt03TOSuLHp+BUnXG5xsAj1wM0+DmIXjjDC4/1Y2p4j4ykTN6vgYjsmPMem3+JgGSosgSPTMTeJs3Sv7nKT78d1cMyT7x4GnsrNMt0X17mJx5ma9TVuVqG8xtlN3GzNgz2cWXSLg+w7wzY3uSNK5mzgJs2PXW7yPecxN3KT50fmJs4PtubHKs/xUPK67VW1R1XVXwF+aA/+d4BnZqA+rz1vy6s/RqxhcgC8JyJ/BPjzqvovv6wTubVb+9yZsbETAmwUtqSe5Q4JqimWzZioqInEmDZjUGvBmE3tNhtLgQQnsSabkU2igmos9i2bot+pxFNsbWVS3EZS5OiFfha3UZ3zlEVP11k0GPreIAJ11VFYTwiG3o+qohuPM56rlKiQ35ijWuIJuefioJLF8h5ZaRuq1hNb45wHM3zRAzg8tQgLoGUU80bAJYlxHANkCDiJTXrapJIAqa6UpdGeZhSjEz/X0mlPN1LzrEQ84LfHSzx+IJYqaEcxNw7BE2t9DfF9hNTSR+h24qHKEd4yPg7pM9jEBhHjwpyYVFdtEz8Y45UsXgNNjj1KMVtOLB6lHcdnpWvwxLINY7ySgkCbfLHpuFBJAQnPvi6J+Flot3wXu1VYwEd81EGhkoKltslHm3OtpKDRlmYUX5i5bDSWkRgrkpmb8fGNBCoxsf7YiIMYPzXmZhP/V484aDT3Bu2oRaKvkaHHaPTFdW4yHu8j3cJjPF+xxU28Nh04iNXRTLq3oo88HY3aQW2NvXmvc2PS+F1ubBq/SL4e9xgd4+P5lLlpxjFy6V6xiQM/mq8uFdwdzw+brms8P4KaeP/umR/Rd4mD8T2ROjeM58dY9X5dlouUv9LPiNml10xV/92XcfznDZb7G8RAu7+dPvzXReQffRkncGu39nk0qSrMNIUsjBS2rcVa3hINAZnUcO8EiMobhUUrCwFM06FlQXunJlSG9aFBFOxawQjdTLYS0XM5ELdUfAnN3dRQ3sXSIG4RvwxzlmnbFnhv6NoC7Q3aGbDKj3zxW9yrL/ngyX2uOsdV5+i85YuTCyam5dF6RuMdJ9WKie04slc46Vn4msddzBqsjKc2sSfpwk940MdaWJXpU5N5WGrJZ/186IhQp4ryuf5Tq8Wogruj8z0P/NFWNf6plHxKw0M/p1HHQaooX4mj0z7iYVMJvhLHGRFfhoq5idX+K3EsQs9jP0sV4tfD8Ttt+MwfsAiTobTC1DhWoeNxmLIIk6ETw1QcHZ5TP+UiVfWf2yumEh9eZ6HmzE9x4pMfDA7LWSh47A9SnbCoANVScBYsZ2GKJVCa2HOzEsdCA4/DLBUNXjMVTddgeJgzNE3LVDwTmbIKHacpO/DANqmzQslSAw/9PHVQWKdq/zUr9REnKqdT0zE1NZ3veOjnQ5mLmbRMTUnn24TbLfzThLcJj9wUeNqBs+zriZQsuM5BJY6V+oGDjNdS0Gk7cFBLN9wru9zE0htxYTvmJncNsMg1bmYjbs5CxGNnCMGJZRFM5ICQOL7Ozdw0zEygkmovN5VUrIIO3MSOET2VTGgSB0DyaU8lFU26rzM3M+mYmoomcRPUDL4ec9MEl85nPSwMMweZs4mUW/Nji5uweub8iJ+5n4ND2wzzI+Obrhdxfoy5ca+nHOyWvcLkhGzL0d9r4GeAD17WwZ87y0FVvynbQcN/AOWOb+3WvossdzpIf15bsOX5Ym0stGtT/TZATVTdkJgBqkZiEd4iK3ZgUgCKFqMuClaGDgpo/O85OWHIMt15iY1hdbJJIw2AgdJ6JrajKnq6YFCVYUjsFRozOSvbU9lc8b0YKWo69DYdx7c48UOhoY7tXol1kgljpfn8Rh+VvIj7kUKmuKHSvE/xR2ZrfEhdCPLxc7HeMR4VAx87KKjHs6mun8d3uqnIn5XFPD5W0U+KlPSpE4NnXC2/lJ5cmR428XNlqjTvUTo8njJ9buzQENK15UJ3TvqUqRjxMFKqjIRh/CYmMPsBevwQF2hFKYm+6/FDt4pSPJ14ArI9fpeDUXeLXW5yd4sxPn4OutTXtidW79/iAI34DgeGxM0uB2jq87m5j+rUHSCezyZGLHPjUcKoE0OZriHoJjt0l5tASPGLZuAmKm0e/5zcxJjA8Fzc1KbD680cBDTGQj6Fm10OdrmJ84CBg8HXErm5Nj8SN7vzI/v6eeeHSbMvz4XYBzf6NHMz5uwPIsbtVW2VDh+h+tfGv4vIfwj8Ly/r+M+7cPumiPwkoKlf18/xElePt3ZrnzfTtsU/2XlT1M3jS8oSczDb6pQgqwYtLFo6KEwstmsEnTmCNaiAaZXppx0SwDY96gzrYxezSO/EMUUTt03bQyG4tDWqiqQtGE2ZpqYTgoGiCLjC43tDMEDpMSbwYHnIRVszdw1H5RWPrg4IKhTG48TzZrVg7eJXhFfhUX/AKpQc2IYje8UidVA48zM+JGaavutOOTNTGnWc+Rm/mb7Q33ZPOPMty1CyCDW/lfqxvl084cysWfgYH/cbXfxGvW/PuZA6tdFxfND1QMH94jwW8/SeTi0ftGs8JfftBQupKVP26gdtABz37IKpicV5vRp+u9MBn5urGLROGPC7dslMYyFhi/K1ToCCu3bJoTbpIeT5WmexGI7NFTOJ7YqsBL7eF7GGXFJCcjLH7/UuFiSVNXXRDfhHfRkLmEqHS9XlW7V84ise+UAtPfftxQbvJ5xKT4ly317g8DTqeOgnLEKPhQFfacVDP2EVuuTTiNem4yxU/FYX2zLdt7HWXR0mnIWaD7qGoHbLp4tQ80G3ImixhTfq+P/aqy1fZ/yDtrvOAbLFTeyYEefRPg423OzjIHKTOdjmRgc8+zpzc2yutrj5euJgzI1Xwzd9Remfn5tP/YTz0FOOfP00bk5DzbrtgG0OHodJ4sBs4Rda7eVmFaoX4ibPm++Um6fNj9/qoro5nh9jbsbzY7dUyOuw16C47doUeOdlHex5PfazwM8DbwMfA/8rcBvfdmt//5oq3NRjTyTGsxXFdqeEnFVKyhDNh0p/z7Fsxqc6bzvZT1uVKyQmJmgR3x4NMmyNjuPg4qkmJU1iMoItPNYG1t4i4jhwawoJOOvpvB3qrRmJilqflIUuWBpi43NnOqZ2nWLRZAjOL8UPleM9wkqroQ9n7LAQz2kZYtKBkx6HZ5oqr69SJwYnPh0rfukvtaTEpy1GP1RqX6obFIO49RgfBmO8xO/FY1HR63ju6rCLG9lUiG+0eCYe47a6G3GvKQYrXVfGY6/JDQ4MeEuMkco9L8v072Pcopv+msTg8OiHsIUvUtP7Mik6U1kTdBePPgVuxMfHt4ToU3QLHzjYwfM1j31dJ/734X7k6+fl5mkcwKa2WcZn0tJiXzs3mYNdX+ceqt8pNzdxsItnX38n3DzP/Mi+c697805f/cJNRP4emz0OS8wyfSnxbfD8C7e/BvwrqvokndSdhP0LL+tEbu3WvhdMXFLaqhKmk4j1Pipt0xicJt4jqkMig12GmJhQFYTS0s2LuN0pMUHBpyqZB9/yeCc0J4ZQplg3jdmlamKcm1qG8h9+EqBQ2qagawtI25+TqsMVsVepDya2urLKrGgJhfCknbDoK47cFZXpOXGxn2AuuLsKse7cl6uHvOWesAoVrRYsugke4V13ytvFE5Za0oSSx+GAJjjedY95uzhjEWoadTz2Exp13C/OeL84jVlmWnLhD2jU8aZd8H3FKSstWISaM61Yhoq79pIvFU9Yq+VCK5Yp0/TYrHjfndGo5SzUe/FFKFlqycLHFlvvuzM6NZyFasCnsubd4pyAcJYy6D7z86gopor1p+kaPvNzSvF8qXgCwPlofCmed4szDMp5qGixfNbPsRJ4v3iCk8Cpr2mxPPYxZvDd4oxaPGepNt5jP8Or4b3iCVPTD3jut3kT/nZxxn23jNmN6boadbxVPNmL37fn3HdLVqGIPvUVK624b8/5invCIrgt/J694H13dm38ib3c8vUi1EMfzqfhYw4e+KNr3Oxy8CLcjDnIeOZgHzeZgzE3Xg3vu9MX4ubt4oy56QY8x5m9W5y+MDf7fH3PXjyTm6U6zvz0hbi5iYNvl5vx/NjHTf2q9y332atX3H5m9Pce+PRl9nZ/3s3lP5wXbQDp7z/6sk7i1m7te8JEYnZpUcSYNpPj1TRlhcqmnlsI4BXpU6/SPqQMUo0ZpVYIhRDsJnbNdIrt9JqiRkhvkCmrVE2Kc0uLv9BZQmeG/1TYqK6FVLOqDQWtt5S2Z1rE7bPWp/ptGpWITWya5co7ln0Ve2aOVItGC1Y+tr/KuEdiGZCUxVenN/CcgdoEl1SOfqj51mlBE/L4TU2uNvWFBJiZmK0H0BHLSniEetSNIZAr12/wHMeU+6/WosNxMh4w1P9/e+8aI9l23ff91t7n1KN75s7cuXNJSzRhMoychGZsWmEUIU4MRQpiyQFCW5AVCYEtKwoYIKLiiElg2l8kBDHAxE4MB7IF0BEjCnasyIodyQItxREUOA9bFinTpEiFEHl5eR+8vA/eOzP9qDqPvVc+7H0eVV013TN3untqZv2ARk/96/SpXfs/p86qtfdeW2J/Qwl5FWKDZ7ZWX22pJbV6JpJW0HYsNb3ntEflMO8tFScuKCUyy3XuojqWMQW5ae/Koc7cMt/0u+O7vmi0YKll9mBVP47TnE3U1b7Lfb1JdxLZy4F916edB1Nhpa87fW/Ud11f9zrDDgTr+rive2/WPDjhDSmrexZvPLrizdiDzpvBg1VvlnGSj1/1psnbWXXejD3Y5k2Z+7TTl1re1YNO797zad6k1aQnvQm4/jwhDzgvY1pdu8mb9evmtOuj0YKZ6FYP1vV0/thfy+veTC+4BrZA3oVm+Hlg5xb5TQBV/cro58Vx0NYd82Y4a8bNiciTo4zbjXv4W8N45OkybQDEgC4DVFUK4mZTpA3I4TGEmIK2wuMA9T7Vcstz3lQEv1TQiK8j7cxz/NZ0qUlIxXqlVbwKrsmZthJwUBwLWsDydwW0iGkPvkaQRSoOG59okFJSqbnoOFxOiVE4WE6ZFoFvfsvzPFUe8cLyOsfthIN2ylGY8PTkgKlreKm+xkEzoxlNRL7u016Qt9s9juOEtPH8hDtx1tfo6mq+pWDG99vr1PnftXrqXPagm+/SFfJdLzTblVIYCoGe/O7ZLZ4wDMM4wfkuTviXROQzd3legGtv9kXuZaj0H4nI386P/wTwF97sixvGI4PL9dk0F+DNqLg0LApDpk01rTiNijhF/bB7ApCybwqujngnQ/22vKLUBVDVvJJU0pCpgGtTrKaiKdsWU70i16RzxDbtnNARgiMEyb9TADR1LVFdLr7r+304PUobU7at0+u8p2YVy377q5R5m9Dg+2/0x7kYbBeUhVwLqstMpBlw0gdnKZgr+pVqXfX7tKI1b5eVd5TonusCui6Mi7kGWZdhcwxV58eV67vj11e2+bxguPv7vpbWaCeL7nWQ8XmG9zE+18pzuVp///f5ua4C/qZhEIeuvrfcJr+m98eL9lXkuu3EoKtov5mxvlLFf+24Tfpq1fzt50+rMof2pPc2nHddTxmaoa4brHqwyZv1/nesejC0R0940/my7sFQ6yzRebD+HsbejPti/QvGuI/G7/lMfX2KN56IZ9g9pPMm1QfcTMl2bzoPxowfbbs+On3cT+P+j+TrckubzpNznON2ovjuBt502HimwE1Vf0ZEPgl8e5a+W1U//2Zf3DAeFbSuibfSHBuNipuUyJV90IgeL9OK0xChKJC9GVoWaFmkTFvpEdW0itQJMi3SIoU6oE7wjRILIUzyTgoHSixg8VSe6zZNCxuKGnyE6asFsVTaqzEFFVXaoD5oQZx6uHbErGh5PQhtXaC1o/bK80dPUseCL91+isPllKpKHw9v27vFjeIuY7h6AAAgAElEQVSI1+p9Xl1c4c5yRojCW6Zvp9or+Z3FW3i93ue15T5VKLjiK2ZS8+XqLXy92eeV6iqHzZQn33LEu8pXOYhzXm6u80L9JK9VV/KOCQccxTSH7WvtNV6qr/OEW/Cu8g1uxTnPNk/3AeINf8hMUnHPV9snOIpTDuKMtxQHXHWeg6jcinscxSm3wh5P+UOuu4ImtNwKacVrmivnuO4KiC3H+bWP4pSrfsENV3CsgWWT5sl1Na2uOU+jkWVbchDTHKRSAze8J6ryTFv2mUZcxQ3ncCI8o4OeasQJe+J5Fs+dOEtDX6JcFeWam/CVNlWuP8pV5a+6yA034YWRHnHsSeBpP+XloFmf0qhnX1pu+Ckvh9jry1gylcBNP+fV2HAQZv37nmX99Vj3uxYsY8lMWm76ObdixUHOoi5jmth+08851sWK7onc9HOWuljpUyeRG35KE6oV/WngaT/l1TX9uj/mhptwO9Yp+NfBm5tuwrE2HDVpTtdSS2bacMMVNBp5JntzHKd4p1zf4AGu4poTZtmDsTfXHexJwVdanzPHE7wo113kmpvwQuvWvEkefDWkRTRpKNZzNXvw1TVv9lzq05dDu9J3s7E3Kx6EFQ+O1zw40OWaB3pP3vwulBt+Sljz4IY/5Gk/5fWsd9dN582hNnwpe9BdHzdcwVIDy7YcvKHZeH14t+S6c1xx0wv+sD7XnRO+cj5nXuVe6rh9HrBgzTA2oZq2t+oeBp++W6pCW68e6/IuC/mLqKim7FsboXC5tMdwuIR0uPq8grTVYVXqKLkgeRWqX6Zh1XZfwGmuFJ42oVeBNqR9RjU6NAi0Dlo4rKfMfMNxNaGqCtplmpt0u5mnm3w7oWoLlk1B23per/d4uXyCg3bGcVtyWE9ZNAW32lR08zBMOWqn3Kln3Klm3G73ONK0FdBSC47aKbebGbfDXroh5Q/64zDloJ1xJ877LYKO44TjkH/HKUtVljlj1/3NUksqjf1cn2UchmgbjTTIShaw13WYk5ZuihMajdSq/byk7vl0vPZzdLotrRrtaqwV/d84Ig2KUx0yjLEEB7WmOUVNn3mc4DXSQK4RN8vz21JwUOUaYTWTfs5Voz6/p0CT522lOUg+D0kH6lHmM2U3XT7eDW3VMj8+qS+1yLW63Mp50t/U1Lqqp3Yt+90J+p9YErSm0WGu4nCeo15v8nO1+lz3jlUP4iT3j9Lgew/2XJU91n4Yvgtuxh6seKOKH3uw5k33fjpvlgp7hN6Dzpu060Wg0cmaB12flmt95LI33ZxHf4oHfsWDuj/erx6fz588H7xZ9Xlx0hstafT4hDcpa55q7nX9OTwXqLMHq96vXh/LWLKUcuP10XnTbFudf45cQjmQB4rNUzOMc0DbZmMGTgo/lAc5TkvkizuKegeTMg99+jR0KiUqML0V0EKor6Y6bmGShkzLQ0WXIG3eWSF/GBULiC20C0FLaOcpeCuOBGmFOy9f4c5kLy1WiOCPHETha29c5WA5TbXcikjTOGiFz7z0jTwzf4qJTx+wVVXQVgW//dpbeeHwOntlTeEiB8spi8WE37nzNItQMnEtc9/QRM9RNeH/ff2f40vHT/PW6R1ulocchQlfX+7zT++8nZfqa+y5mqlr+Wp1jVeXV/iU/h5eqq/3BT+/3uzzcvUEh2HK882NNEwokdeaq7y0vMYb7R7P1jd7/Y12n+eXT/JSfY3n66fyUFHkdtjjK8uneLF6khebJ/GkDchvhzlfWdzkOX+Dr7XXev0wzHh2+RTPupu82j7R68dxwrPLm3gir7dXmOYFHFUs+dLyaQBuh/1eb9TzzOJpAo5bYY+9XOqkUc+zy5tUseB22OOKXwJpc+4vLd9CFQsOw2xF/3L1NEdtyjRe84v+/92zy5vcaefcDns8WQzF25+rnuJWs8ftdo+b5UGvv1g/ydfrK7zR7vMbxUEeYo28UN/g1foqrzVX+XR5u9dfaq7zteoarzVX+fxIf7m5xler67zSPMH/V93q9dfaqzy/vMFL9XWeqV8/ob9YPcnz9dd7/fWwnzwonuKrzau9fjvs9R58rb3Wl5M4jhOeWTzde9PpnQfr3ow9OIs3Yw/Wvflylf6f3w7zjR5s8+YwzLZ680+2ePOb9+DNK80TfL68dcKbl+rr/E510oOX6us8O/Km82Ddm86D5/xTvNg82RdaPoiz3oN1b7rr49X2iRPXR+dNqhX33MbP0fNAusLlO4wFboZxv3RZL93wKbCegdMCkbxbQn6+r+sWFdFcmBdSUV6XFyJExVdpdZtE8h6m6TDfpClzvlzbLSEPBbgAUQSdaKoQEtOQqVt4YhAoUq04aQVRaKuCYwHnNL2lmDJ3y+MJbeu4slcxKQIxeLR1LKqy38d0WrS0ea7cQTXl68U+1yfH4BvamOagvbGc0wRP4QJT16b5csFzq5oTVbhaVOwXFQdNyu69Ue8R1bFfVFzxFYdhynFb8hpXaKNn7muuFQsOw5SDdkrMK1X3XM0VX3G7nXPQzPLqWGHqWq4VC263c+40M6qQPv6mruWqX3IQZtxppyxCuaIfxwkH7YyjPHmnlMC1YsEyltxu5n23d+dv1HPQzIgIz/JUrwd13GnntOp4nhsr+q1mjyp6npMbffu9RO60Mxah5DnJx/tUNPignXHYTnh+eYPXuu3IXMudds6ddsqL1XVeb/e56pdMXcOddsat3NbbYd7rt9t5rx+EWdqiyVf98RHhOE56/Y1mb7PeJr3JKw9nruGKX/J6u9/rjfpev53bWcWCgBvpe70+eHbMYUjt6VY4dnqXne286Txr1G/15lazt9WbKnr8mjdjD8be3GrmLEKJkyd5zV3tvbnV7m315lYzx8n5eNMdH/NK7l4P81M9WNX3VvSur29nj4/a6Qlv1j3ovLndzHEoz4n21834+gAo3MWnvy6jAsmDRHTTTech4wm5of+afMdlN8MweqSc4PbTh6qG/MHTLTyI6XF/bUVFZtO06rQL3GJEY0QmE+KNq2jpidMClaEQr7QRLRzNExNiKSyvp0xdUeXyIj4vOihT2ZB2nlaVhllebbo269c3KcnW7qc5cnGSd1io09y5dl9TMBcY6o2IohOFbpWq5udEKa42TKYNIThiFGJMJUfKSUtRBEof8E6pW593ZIgUPhKioCoUPlL4gBelcKkgcN16JkVgVrQULuIlzSdbtkXaoqtokP74guOm7PVum646eI6bCeVYR6mj57CentBbdRzWU7yLvV5IoI7FRr1Vz0Gd5uXsl/WpelTH7TrV8JsXTeqHrB806Sa4SQ/R9dnMbqL5UTuhCX5FdxLTat/gmRUNEx96/aiZUoXinvWpb5kWba8ftxOWbblV7/s068tQrnpwij7u6/2y3qhv8sCJvmlv7ubBWb25mwf36829erCu36sHZ/Fm/fo4aiZbPTirNwC/8G/+5KdU9X1v/pP5dPbe8nb9vf/+h1a0f/YTH7qw138QWMbNMO4Hl3dGUE2ZNI19Bq7bs7Sf4yYx1XfLQVuficub0+ukIJaOWDokKFK3qaZbm+aFqGPYwxTSMQohLWjEtQqasnOqaRhV8yrTbt5b/7c5UOu/ceZ9T9Om9oLWggtJi5MUHNKCRoc0Oes3SbXmYhTa1tNUafN6VwbEQdN42sZTuZhezynOpblEbXRUy5K28cz2aq7MK1oVKmBRl9RVwWxe40VpQlrjd1xNWFQl82mD34uoClGFo7rkeDllPq1xe0rUFBAeNyVHywnTsk0bzZCGthZNycFi2utOlDY66uC5fTyn9IEb+8c4UaJOWLbFRr1qC24vZinwu6K93gTPG8dzRBT2Uyah028tUuD21P5xr4foeOM4ZRuf2j/OtfVW9biXAodWHVGFW8cpa3l9z7Ff1r1+ezGjbguu7y026tf2FlzJOsCtxYyqKbk6X/LEpCKS+vTOcsZxVXJ1XnGN5Ql9f1bz5GzR6wfVlKPlhP1ZjZtprx/VEw6XU+aTBuaDB8dNycFixrRsuLF3Up8ULW5fe33swc0rR1kfPChcPLM3nQdjb0J0vH6cGnhjb7HRg3v35nQPTvNmWZc8sbfkCTjVm7EHm7zZmza4+UlvtnmwrncerHpztuvj5pWjE9eHW7s+LgOb43YXROQ68D8C7yF9V/8PgS8A/wvwDuBZ4HvHxX0NYxcYryKFtDep7M1TIBcCzGbIbJoXJ+RArc/IaQrkruyn4dEYcVXEH6exT2kCOi1ZfMM+WgghV6icHKYivcVRIJaO6mpBLMi71kN5DNErYZ4WPhSLYUhAHdTX0lCrr0AqKBYpyKufSBm44liQNv+N5OOdUtxxqdRIkc7TTiN4RW9NaBvBN2muXHsTir2W9qhEatdn7nQv4GYtsXUQBBqHtMIiCG3riMETW0FrD63Q1p62TcFfCI5Ye6gd9V5J3abnQpuKCmvtqOcFdVsQgqPJxYa18ixmaQuvEBxNXRDarE9W9RiEuCyQrKtCXZUpi7j0SKG93tTpdeLSg1fa4BCBuiqI0REWHlwqtbKiLz0ItK1P2431x6eP4Lb1FEUY9GUBmoLgslzTY9JvT1rq3J5QeQiyosfgaCsPraOuPQezJh3fekLt0cZRXyk4mk9O6vslx3slTVMkHxqH1p5qv2TZFCf1vQnL/bRoZaWv5y3LpjjR14tZO3g20o+nedu1KKselHGjB503sObBJm+yBw/Emzh403uwwZvegyDUtefOdIM3VcHBvD7pQVVytHfSm2qbN9mDXs8eLOctVb5uVry5iwd1WwwedPpkizdbrg8p0s4sp3mjK9XEL4AL2GT+vDnvjNtfAX5ZVb9HRCak779/HvhVVf2IiHwY+DDwZ8+5HYbxYFmbw4bPq0hF0r+9gzJl5PAulQIZ1XfD+1wOxKe5ZJoybf3OCtOSMHM5WBJcUHwd0wrT/G1RfdqrtNt7z7WanssfhNKCC/kbcpGGUWOhFAvBtfS7LKSD8/FNPn9Xj0nB14KrgSlpP1RI22ctBV/JMEcu5A/gVnCLkV44ok/Bl7SCNCnjF0pPKGIKzBqX9FaI3lOXBbH2aJWCPWkc6j11UfY3HvK5ohTURSS0jrgs0vF12p+1Kssh0GrTa2iEalION5IgSJ1W2NaTvKPEosjnd2ihVJMShaR3xxdKXaX5cO1Y90pVlQjQLke6KPW0TNnHRdnrAM0s3VCbZZHa2enTdJPvdBpBotBO042yXZZoK6lvo9BMiqRXBdq4PkhuJwVLNuhlwVK0LwvT64Vn6cpBz30XXMHSRULjidXQp0E8S1+mgHrU15GCqggndS2oyjRfcsWDmDzrA6rOg9atejPyoJps9qCeZn2Zvawd6pRqdoo3ax7U0y3eVCm4aZdl7lNZ9WDNm7bMgeA2D9b1bR74LR647MGaHsWzLLZ4U570RhWqSbHZm0m58fqop8U9eVNNRx5ccPar2zlhlzm3wE1ErgF/GPjTAKpaA7WIvB/4tnzYx4H/EwvcjB1H65p4+wCZlMh8lua9HR0jRZFWi07KIZBr2rRjwjwNE0gI6cOrDVAWtG/ZJ04crlFcA64JSFD8MhCnnoO3T4hFN7wJxVL74c5QDoGXqA7FYnXth+G3dIetTXdd+R6cX8vVQpykOW2ullQjLuS2HHpaFYo7Hr+UPsiMpRCcwx96/BJckP7DOlDij9xwfBCaACEKbuEoFpIXWghNLbQRZOkpj/JCi1Zo9xxNBKkc5WEazpUghJmjUZA66/n8YepoAGkc5UE+vhXiVGmYIkGSHrI+URomEKG84we9zLpCcdvjsq6FUpO8LfLxrs1ZT9IQd3F7pAs0TAhe0/HtSNcJTaH4A5/+L+TvCrVOaCYx6fXgQR1LmqnHH/rBmyjUUWhmHnfkKZaD3rRCs+dwx77va4lC0whNk/Vj6fu0rYUmCLIYPOhKzzRBkgdHo76ej7wZ6+veZA8eqDcyeCORVIi6UGqZgKx5MPZm3QMmNPfkTUkz8aveRKEOyYN1b5ogNHO32Zsm6+vetII79pTbvDkerqd2z93dm/Xro/NmzYMwdTQqJz3I3my9PmLqU7euM3hzoWiabnIviMjHSPuPvqKq7zmXdt0D55lxeyfwKvA/icgfAD4F/Bngrar6Uj7ma8BbN/2xiHwA+ADArJuoYhgPK6poU6dMWzfnrc7z3mQCzqGTYpj75hza12zL6S0RtHCEqSeWac6aRFKmrdX+w6bdSzsmFEeabjxNmvPWz4MbBWiiwzqD7nH//DgyGwVxJ99bfi7mb6ut9DewLnNHp9dpKy5XD6+Vjk+6z8WA0RR0xSbt7OAXMmQOGyG2KSgsFtLvxeomEJsU5PW6givTTcYv3YquPt2U3NJRHA/nRyDUDlel1x32K0ztl1bwx4Mumm6K0ubjc0AqUWirdGMrRnoMgqtSVqZY5OHnvCLYVQ514JfSZzfVQVsJFKkGn6ul10MlaeXwMmU+JeT5i5UQSX3hqyEQdpUjSjq/Xw594Ssh+JN9F2pBy5N6nApab9AnQqwdfrGml5K9yX099qBxuGrVA3XZm0o2e1PfozdhizdKCobak96seDD2ZnEXb5rBg1Cl7ePO4k3aCUWIzp3wJlTpuj/hTZW9qTZ747Z5s5RVDwq2e7Ph+hh7s+KBQGjSF7axByvenOH6SEHmyJtLGLa8j2Dxp4GfAH7mQbflfjjPwK0Avhn4EVX9dRH5K6Rh0R5VVZHNFVVU9aPARyGtKj3HdhrGm6ZfZSoOYkj7JWlEQ0zDoE2LNG2a59aGtFepKjopaK/PUJFhU3pysNakwE+9EOae5Y1pnosGoPnGpYRpmqvW7MmoSC/4GlAIebVpyspIH3C1szzUGocgTAKESfpQR/ONqk2lRUKZdUg3wjZ9eMdiNGTbppuoxKSphzQMK/3505Btjh3bYV6dFvm1BaSR/A190HHd+Ud6fo1eDzngmQy6G+vT9Np9MNmO9FKRILh2uJmEKWgx0rvpipM07NxlKaRf0JH0Ltjsg7lJmn/Y3excu6Yraeip69MS1Gvfp12bBr0Lntd0hvcmbdJjkfUme9DpvZfZg5GusqWvZfB9rJ/mzboHOvLgLN6seLDuTfd/bs2DPlBoT+rpi8NmbzZ5xug1VrxpBHdC7/5PD3rn8biPeg/y//eN+iZvGPXpJm/e5PXRH79+fax5drfrY9A3Xx9jb3YhcFPVfygi7ziPttwPm7bFe1C8ALygqr+eH/88KZB7WUS+ASD/fuUc22AYF0O3ytS7Pmgj5u8b3f6lVQ1VjTYNNG0K4IBYOMLUEebpt6gireLamHZTAKIX6n2hnaUtsIpK0/y1nGkLpRAnaVus8c1HFHD5w3j8QdnpLn0zHr4lAzIEbr3WHV9oyrqFIXOWSo/k4CDr0uld0JCHeTpdC003pji0UyXr5Nfs5vJlXRneV8cJPWcSx+en0/PxuFHfbNLj8Brq056wEugzFckzHfp09B5W9SETFr0OfRq6siojPebAIOvq04KRtFqY/vheZ2hT70EePpdRO9WPgu2uTQxejr1JD1b13oOxZ+N5lqd5I6vtXPdmqwdr+npfr3gTV197xYPc16JrHmzxhjj096DL6v/3dW82eTD6/9jpd/Xgrt6w6s24T0cerB+/0ZuRB7p+fcjdPRjrKx744TzD/7uRN9uuj+46uGBE0xfR8Q9wU0Q+Ofr5wMW37OycW8ZNVb8mIs+LyL+gql8AvoO0ZdbngR8APpJ//8J5tcEwLopujlt6kOqzyXwGGtHFMgVxo0wcIugsTdwtb6Vq7BLyVlaFyx+6Di0dzdUC9TB/Y7grSlRcrcRSWDzliSUQwQdNW17p8K26nbGyytS1ijohTNK3eL8cgjcVCDMlTtKQUTfEBFkvwVXgx9+6Z0qcahp6Wo6/dSthpvhK8EuXsgACcaK0e1k/SkOlY91VQpF1GOm19Ls/AIQteiyz3qQhHdfr0O5pP9zW6Vrk3SVC1sNI38vD1Yus56GnME9Bc5qbl4/3qS+Q3HdhCFTDPOvLIaumLtfc85qHVFMw0emxyH3a9bXkzMdEU3vyeZI+eOBHHsSpEqadB1u8OZJ+flaYKmF+Fw+qLX19Vg9yn67rWz3wWY+c0McedOeh62vWPPAjD9a9Wfdgk94FSnIXb2bae7NyfWzxZvX6GHkwSR6Mr49NHpx2fdyvN/d1fRxvvz768/jN3lwGEk+88GtWx23gR4C/mVeUPgP8ICnL93Mi8kPAV4DvPec2GMb5k+e49XiPdDsr1E2fgeuK8nbz3FDFLdp+1ak4h+5Nc/CWhk9jmc7jFymC0iJ9QPoq3eW1y5xpGoLwTXqNdiZpNWkednENK5NyUzZGkSgrq0m73RnGQ3rd8bFU/MKl47tv1zmj4BWkGR3fZQ5Gc4n61+314QanHrRUqPJNaXyeUqFe1en0ZgiGxsdrm8/fZyy0H75xuSYd5MxEmYayXOuGoZsuAzEaquz0WHT9MwwDpWLIXcZlWLmbzpOeL9rhBt1nPrz2x/eZR9+1Nb+HcSaj6DyTE316Qu/6aJH7Ttf05eY+lbt4MB4q6z1r1vQtHqjTpK97kHXRdX04/wkPyrUhus6DnPUae5Oum+zB2BuyB677UsOQFc59TRw8WPEmbvFGR+9ZBm/QDZ5t8KB/z+sebLs+/GZv7vX6UPcAr4/1aQeneHOhKH3wvKuca+Cmqp8GNkWxtg2C8UizkoGDFLgBUhTI/h4aIu61XAeubcH7tPpUBFT7H1dHZq9UdHPdEAgTByLE0oGDyYH2wRsMAVixgNik7BqOfBORPphwdR6ekfS3vgI0Ta5W0T4gKxZ5aKMB5yQNFZWSJ2vnVXZtDuym2mfqXCBtreVSdqErQ9LN/9Gs+4XgG/p5c93xvkplSFzWUxYkZzpq+vk2Kul1XSX4Ot8UWgFR4jRNCvc1xDxPie74JunavS7pdV0jFM3Qzs166uswUVwLRT3MHVRHvytF0Qjk94xPurpcMy8MrxsnoKIUx4LLw0jiQUsIoilj0umhG3ob6+m56IFpPk+euySt9NlAP9IJoz5dnKK3Se/6rpvY77K+4kGT27nBg94b8vHr3rDZG9E1D0Z9FyaKk5G+7k3nQQDc4EHZCIyOj+XgQdefKfgZPFjxpoAw9qAVpGDFA8lDcTrq0+JoS1933sShTzd6ML4OmkFXt+pNf/4zXh9uiwex64t8Hfh65E3Y4E275s369SHd8cmb+1go8ObQjRm3ncJ2TjCM82A9A9chLmXiNKJHx30mjrJAunIhqv28E4kRV4V0w5kWqHc4UdRpCtyAYhnz3qZdRiDVMPNNygrEOu+A0Lch/4rAKCvUrWLtJxNDmteS5+y4IGjUHACmzEI/56gLAMfzqbpJzwJ0k6fj8FyXiRrmukk/L1AL0Lrrg5He7dXazbPp5ynljSni6Cfr0h2v9P0afc4+aspcrGQjXOo3WdfX37N0eud56gdBBz11FxIlZTQc4BlW3MZsee6j4TzpRyUdDwybY0fyPKhR363p/ULlri9G3rDuwUgnDp6N+7T7P9Dr0p1H+izuqr7mTW5P/97WvenacxZvNnow0oOAW/UAWfVmpU/v5s26B6P/X6d6s3Y8LnfByJsVD0Z91y0WiB78un6aB25NFyV6Of36WNezB2Nv+vmsKsPfsOaBrnmTP0O0uz6c5s+p1f8PF8m9Bosi8rdIZcxuisgLwI+p6k89+JadDQvcDOMC0bZZzcQB/Zy4skS8R5Yp4PMi4N1QqDfjI7lGm6LOEWcFWjjqa2VasZk/lHydPsyLZd60vsu6OVIWLkq/GjS1I30el4dp+X6cDDcJkaFURcyrCLudFFwtlC39kFMs0+tIm+bWdBOYtYRW0o21OKKfOB8nSivpAz8dn28QZd4FgpN6u5cCxeJY+ptDr7tVXQulnZ/UYwHtPL0Xv8jZpNymNlcgOqHPR3q+sXbzoSD1EU7648OcnMXMdcQ8OWOS9Zzp6G7ccQrELpMpfRAWZinz0WUaNa/K7Vb7uZzl6vQ4TcG6hPyec1Df63FVD9OUmZUoFMcMx3d9qmv6RGlJ2ZyNHmzSN3gw9sYvzuhN58Fymz7yYIs3Kx7czZtG+gC592CbN2sehJkSi5xlPj7dm96DsNrXYZLnvm7xANY8zh5s9eY+r4/++O76kDNeH6d5c8HJL1HtC5OfFVX9/nNqzn1hgZthXCTbMnGQdmJo83w3SCtRywK5sg8hIj4Fb11ZEWkDiCDNDJ163H5BRNKG5N0cuKhI3tQ0lpLmzXUfmiXo2lJ8lVTQV4V0Y843LXXpxtTRBW1APzcoSMpcdEFdN0culSvRVBJB8vBRLf2QlXqI5MnPtRAm2q+EDRPF5XleEV25CUkuAhzLzboWmhZo5OExiazoyEhvcmDrc/vLVV280s/dyXPb1vWuNl2XkUz9tKoHn1b5xTJlVbuJ22Gm/U2XSD/RO+Tzd0FxV3oi5H7epscCRHQoVSF5f9kCxGk/LywFEdkDyfOSOm+KU/TJSC9HXm7St3iwojcpyO9Kv9yPNyc82KLrJm/cmgedN16HFZruHrzxoCMPNnqzwQPXClLL6d64tb4+zZv140/x5oQHY2/KDd7c6/XR6ZfAhQ/PPmAscDOMhwANgXhwmB70ZUQiiEMWy2Ebre55JzCbQZGGWCVGZi8dptSYdsONDlwq6IsXQunASSrmq8rstXzDmjhwUF/xqCcV9I0QJt23eOm/HUef5s+oMKwIy78lQuhqfHXDJdoNBw1ZqG6Yy+U5bFqQg7p0XpfnJPWZulyk2IU016cv0yDd8JjgK/LkaiDksTEVfD0aMuuH61Z1daRgl1T7TvMQ7lh3Z9BR+sUnKzpbdJcDVqXvU/VAcQa9WzVabNe1yDf8PNTlA0MgwAY9z5vrhl99PdLlFF2z7u6idx6M+3qbB/egvykP2NDX9+DNaR4w8uCh8Mafozf3e30IF+1bUpQAABFvSURBVIuSPyN2FwvcDONhQBWtqs1PbcrQOY/v9kcNAWLEHS/p9zoVQffnaYhVyzw0WoADVwWkjWlv1Ag6L4mlQ2VKnAh+EXEhDfP0mTonVDhkojDKvI33h+4XPnTzfUa/UWBGmgqXAzqXA7gAJ+ahSYQ4kT5z1c//CeAQQq5b1c+bC11GMd2UkDxPrZV8o8x1q/LSQNcM+nCePCndQSjPoGsatux1WdOF1M6csewnsI/0LpiUIAhDFmdF1yHrIyMdBbr35UC7LJGmTEd0DMFw3mZMR+dZ0V3KQpF96HXR4aYup+sUmqYsZb3rOwrth9iH+VekBRu5NuC4r/F38aa4Bw/cfXhwD96seLCmn/DgNG/c+XhzwoPz9OY+ro/LCKHudaj0YcMCN8PYRWIg3jlMWbijYwC0m9ymCiK4EKAo8If5bpB/NG92LU1KAUTAN455nYde63b4RuqgvTYnTB3lYYrSuoxdc6XIw6BpPs3sVv7QdukDup1JqhNXg2tTIBjHnzg56EuZuPxg9HmavtXn19ThOXWkjGN3fA74UiZATgaMbnSebogkJ+Wil5NBpkA83K5359mm978F9FCGQqej57fqfot+tKbn1+71tbb25zmrnudAXrR+Vw/u4s29eBD9OXnziHhwv96c5sGZvDnK1/EFkkYDLHAzDOMS0KZGG2C5PPmk88hkAkWgL/wbQhoqvXo17fCQd26QwkP0yFGL5HpyRE3z7ZxLmb1Q4OqcqWsCqCLtPu1+0QdYvoq4JhJLl4ZUr3ramVAsFV/H9GEvw41Ccxak+yY+/g0M2bwtj0/8e9w3p90Puud1+zkMw3gE0fTlc5exwM0wHkViIB4eDZmp0TfMLtPWzYWTO0WaQzedpHpyIaChq4Wg+FfewBc+BXoxpsxeVMqmpZhP6Jbzd4smdD5BS095OCFMHb5KW3eJKkSlvTIhzF2ehK9IUCRqH/CpH/ZclaB5QnfO7GXdNd3E7W61Wyp90O0K0ZdGcYLEVEuqW/1GnrOXJlfrCR0dihi/KZ08X1AfgN6meU9jXaUr+ULfB/eru1ZTvbFOz0H1Vr3fgWOLLkNm6W66xNSmu+qjtq7r3dzJrbo+QA826OM+fbPenOjrN+vNGT24KG/G18e6NxeLWsbNMIyHk62rVzfWlxP8tSegnLCyNVdUYn0AMQVxfa0RUqLKLSbQtmnScUiZOLe3h05LpAr40iNNQEKANiAhInoVmODqkPZjbQLSBHRSECceLR3RO1wTcU0g5q2/ohe0yHoV0MKlgK5wKaBrFV+lmnbdvDwt0mKMYhmynnaaiKXgGsUvYwrcxnqbdbpix0mXAMUinF2P4Bch3exH59+mAxSLiATt9S4w3ab7ZUzD0Jv0JhVK1lEw7JepqPNddZf1AlyV+7SQIai+m16nvjtNZ80DzR7cVS+Gvj5V3+DBWbzZ5MGb9qZY6+vFGb1xqe/u2ZszetDrXV/7s3kj7Rk9GOl+eRcPLnqFp4LYHDfDMHYeVeLRAvFVCsLG30jzrg+69i3VHRygR64P5vrtvJZVqkfXrYTtzjcp05y71+7gbhepnEmMKZMXAsxnuNlkeIE2IG0KuBCBSUmcFcNwbde80hOnRQoKx7r3xFmRgsN62ONGC5eOj4pbjnQvxGkqtuWWbcoQrut5QcdEddABV91dl3W9Disr2+K8AJF0/FifFeDuotcB2niqrlOPerdRj0XSpUm6qBInnjjx2/U2IlU4Vdcy6RI264w8ENXeG6L2fb1NB6D3Rvu+Th0McVau6GWnb/Kg0zd58IC8uZsH6l3+AjPq61nxQLw5zYO7enOKByv6/XgwPv4CkXAJL/oAscDNMAxgNGfujMRl2KhvWx3rrl5NJUyqCkJEx/u35rp0EkK/b6vGmILFnAGU2RQ/n6VgL8T8OyDTCTKb9ufony8L3Hw67AMbcpDY6arQjOb1eY/szVLANq6V59xddQCpmzTvr2nTTX5vhooMNfe26XmeoatnqShrtabPp2jhkt6dXzWdp0g3e0Ic9PkUzVlOwtAfuk2fTnDTFAx3gTIxItv0SYmblb3e+7ZF17JA5pOU4Ri956164ZG96WZ9Nj3Z19s8GOtn9eB+vVn3YIs3Wz3Yom/14B690UmJzMqze3BWb3Jfn8mbsQfrul5w9kuxciCGYRhnQRcLaJo+M7dSrw5SsLZcnhiW7TN5VYUcHfeBXv+B7z1SFKCR2H2TjjHdIIpiODegIaRCxmXRDwdrDh5FJG07lo8nKvFedCCGmLY0u1MMpVpO0QFkUiY9t6nXiwJxcrKtt7foRZGynHmO4n3rPvfdKXrfF53eDZmfRc8Fpd9sX9+rfqo36x6YN+fuzUUiaPqCuMNY4GYYxoWgbZt2h7jL8xtXyHbPn0ejDMN4vLA5boZhGIZhGLvC6iKrXcQCN8MwDMMwHg+UNA9wh7HAzTAMwzCMxwMlzQPcYSxwMwzDMAzjMcGGSg3DMAzDMHYDzdv57TAWuBmGYRiG8XhgQ6WGYRiGYRi7gl5K/bgHiQVuhmEYhmE8HigWuBmGYRiGYewGakOlhmEYhmEYO4Fy1x1cdgF32Q0wDMMwDMO4ELq9Wcc/Z0BEvlNEviAiXxSRD59zK++KBW6GYRiGYTwmKBrCys9piIgH/irwXcC7ge8XkXefc0O3YoGbYRiGYRiPBaqgTbvycwa+Bfiiqj6jqjXws8D7z7Whd8ECN8MwDMMwHg/03jNuwNuA50ePX8japWCLEwzDMAzDeCw44I1f+T/iz91ck2ci8snR44+q6kcvsl33ggVuhmEYhmE8Fqjqd97Hn70IvH30+Hdn7VKwoVLDMAzDMIzt/AbwTSLyThGZAN8H/OJlNcYyboZhGIZhGFtQ1VZEPgj8CuCBj6nq5y6rPecauInIjwL/EWmTic8CPwh8A2lFxlPAp4A/mVdpGIZhGIZhPHSo6ieAT1x2O+Ach0pF5G3Afwq8T1XfQ4pSvw/4b4C/rKr/PPAG8EPn1QbDMAzDMIxHifOe41YAcxEpgD3gJeDbgZ/Pz38c+GPn3AbDMAzDMIxHgnML3FT1ReAvAc+RArbbpKHRW6raVbzbWgtFRD4gIp8UkU82VOfVTMMwDMMwjJ3hPIdKnyRVFn4n8I3APnDmZbiq+lFVfZ+qvq9kek6tNAzDMAzD2B3Oc6j03wa+rKqvqmoD/B3gDwHX89ApXHItFMMwDMMwjF3iPAO354BvFZE9ERHgO4DPA78GfE8+5geAXzjHNhiGYRiGYTwynOcct18nLUL4TVIpEAd8FPizwIdE5IukkiA/dV5tMAzDMAzDeJQ41zpuqvpjwI+tyc8A33Ker2sYhmEYhvEoYlteGYZhGIZh7AgWuBmGYRiGYewIFrgZhmEYhmHsCBa4GYZhGIZh7AgWuBmGYRiGYewIFrgZhmEYhmHsCBa4GYZhGIZh7AgWuBmGYRiGYewIFrgZhmEYhmHsCBa4GYZhGIZh7AgWuBmGYRiGYewIFrgZhmEYhmHsCBa4GYZhGIZh7AgWuBmGYRiGYewIFrgZhmEYhmHsCBa4GYZhGIZh7AgWuBmGYRiGYewIFrgZhmEYhmHsCBa4GYZhGIZh7AgWuBmGYRiGYewIFrgZhmEYhmHsCBa4GYZhGIZh7AgWuBmGYRiGYewIFrgZhmEYhmHsCBa4GYZhGIZh7AgWuBmGYRiGYewIFrgZhmEYhmHsCBa4GYZhGIZh7AgWuBmGYRiGYewIFrgZhmEYhmHsCBa4GYZhGIZh7AgWuBmGYRiGYewIFrgZhmEYhmHsCBa4GYZhGIZh7AiiqpfdhlMRkVeBI+C1y26LscJNzJOHDfPk4cM8efgwTx4ufo+qPn3ZjdgVdiJwAxCRT6rq+y67HcaAefLwYZ48fJgnDx/mibHL2FCpYRiGYRjGjmCBm2EYhmEYxo6wS4HbRy+7AcYJzJOHD/Pk4cM8efgwT4ydZWfmuBmGYRiGYTzu7FLGzTAMwzAM47HGAjfDMAzDMIwd4aEP3ETkO0XkCyLyRRH58GW353FFRJ4Vkc+KyKdF5JNZuyEi/0BEfif/fvKy2/moIyIfE5FXROS3RtpGHyTxP+Rr5zMi8s2X1/JHky1+/LiIvJivlU+LyB8dPffnsh9fEJE/cjmtfrQRkbeLyK+JyOdF5HMi8meybteJ8UjwUAduIuKBvwp8F/Bu4PtF5N2X26rHmn9LVd87qn/0YeBXVfWbgF/Nj43z5aeB71zTtvnwXcA35Z8PAD95QW18nPhpTvoB8JfztfJeVf0EQP7s+j7g9+W/+Wv5M854sLTAf66q7wa+Ffjh3Pd2nRiPBA914AZ8C/BFVX1GVWvgZ4H3X3KbjIH3Ax/P//448McusS2PBar6D4HX1+RtPrwf+BlN/GPguoh8w8W09PFgix/beD/ws6paqeqXgS+SPuOMB4iqvqSqv5n/fQD8NvA27DoxHhEe9sDtbcDzo8cvZM24eBT430XkUyLygay9VVVfyv/+GvDWy2naY882H+z6uTw+mIfdPjaaQmB+XDAi8g7gDwK/jl0nxiPCwx64GQ8P/4aqfjNpWOGHReQPj5/UVFfGastcMubDQ8FPAu8C3gu8BPx3l9ucxxMRuQL8r8B/pqp3xs/ZdWLsMg974PYi8PbR49+dNeOCUdUX8+9XgL9LGuJ5uRtSyL9fubwWPtZs88Gun0tAVV9W1aCqEfjrDMOh5scFISIlKWj7m6r6d7Js14nxSPCwB26/AXyTiLxTRCakib2/eMlteuwQkX0Rudr9G/h3gN8iefED+bAfAH7hclr42LPNh18E/lReNfetwO3RUJFxTqzNj/rjpGsFkh/fJyJTEXknaTL8P7no9j3qiIgAPwX8tqr+96On7DoxHgmKy27A3VDVVkQ+CPwK4IGPqernLrlZjyNvBf5u+jykAP5nVf1lEfkN4OdE5IeArwDfe4ltfCwQkb8FfBtwU0ReAH4M+AibffgE8EdJk+CPgR+88AY/4mzx49tE5L2kobhngf8YQFU/JyI/B3yetPLxh1U1XEa7H3H+EPAngc+KyKez9uex68R4RLAtrwzDMAzDMHaEh32o1DAMwzAMw8hY4GYYhmEYhrEjWOBmGIZhGIaxI1jgZhiGYRiGsSNY4GYYhmEYhrEjWOBmGIZhGIaxI1jgZhjGPSEi10XkPxk9/kYR+flzeJ0fF5EXReS/egDn+lEReU5EfuJBtM0wDOOysDpuhmHcE3nj7l9S1fec8+v8OHCoqn/pAZ3vTwPvU9UPPojzGYZhXAaWcTMM4175CPAuEfm0iPxFEXmHiPwWpOBIRP43EfkHIvKsiHxQRD4kIv9URP6xiNzIx71LRH5ZRD4lIv+XiPyLp71ozsB9PB//FRH5bhH5b0Xks/lcZT7uIyLyeRH5jIg8kKDPMAzjYcECN8Mw7pUPA19S1feq6n+54fn3AN8N/KvAXwCOVfUPAv8I+FP5mI8CP6Kq/wrwXwB/7Yyv/S7g24F/D/gbwK+p6r8MLIB/V0SeIu0P+vtU9fcD//X9vEHDMIyHlYd6r1LDMHaSX1PVA+BARG4Dfy/rnwV+v4hcAf514G/n/W8Bpmc8999X1UZEPkvav/iXR+d+B/BLwBL4KRH5pfzYMAzjkcECN8MwHjTV6N9x9DiSPnMccEtV33u/51bVKCKNDpN0I1Coaisi3wJ8B/A9wAdJGTrDMIxHAhsqNQzjXjkArt7vH6vqHeDLIvInACTxBx5Ew3I275qqfgL4UeCBnNcwDONhwQI3wzDuCVX9OvD/iMhvichfvM/T/AfAD4nIPwM+B7z/ATXvKvBLIvIZ4P8GPvSAzmsYhvFQYOVADMN4KLFyIIZhGCexjJthGA8rh8AHHlQBXuDPAXfedKsMwzAuEcu4GYZhGIZh7AiWcTMMwzAMw9gRLHAzDMMwDMPYESxwMwzDMAzD2BEscDMMwzAMw9gR/n990YrisBwpUgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 648x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 648x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# check the conductances\n",
    "\n",
    "for layer in ['Exc', 'Inh']:\n",
    "    fig, axes = plt.subplots(2, 1, figsize=(9,9))\n",
    "    fig.tight_layout(pad=4)\n",
    "    fig.suptitle(str(layer) + ' layer')\n",
    "    axes_list = fig.axes\n",
    "    \n",
    "    for idx, gsyn in enumerate(['gsyn_exc', 'gsyn_inh']):\n",
    "        im = axes_list[idx].imshow(results[layer, gsyn].T)\n",
    "        axes_list[idx].set_title(str(gsyn))\n",
    "        axes_list[idx].set_xlabel('time [ms]')\n",
    "        axes_list[idx].set_ylabel('cells')\n",
    "        fig.colorbar(im, ax=axes_list[idx], fraction=0.010, label='[uS]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# end simulation\n",
    "\n",
    "sim.end()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# task 1: on the stimulus\n",
    "\n",
    "- go to the notebook cell '# make the thalamic input sources' and design and test a new type of thalamic input (e.g., more/sparser input cells, etc)\n",
    "- find the critical limit of sequential spikes to get the network spiking"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# task 2: on the state variables\n",
    " \n",
    "- why does the condunctance related to inhibitory of the inhibitory layer is equal to zero?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "sPyNNaker",
   "language": "python",
   "name": "spynnaker"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}