{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# System-Level Simulations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook demonstrates how to perform system-level simulations with Sionna \n", "by integrating key functionalities from the SYS and PHY modules, including: \n", "- Base station placement on a a hexagonal spiral grid\n", "- User drop within each sector\n", "- 3GPP-compliant channel generation\n", "- Proportional fair scheduler\n", "- Power control\n", "- Link adaptation for adaptive modulation and coding scheme (MCS) selection\n", "- Post-equalization signal-to-interference-plus-noise (SINR) computation\n", "- Physical layer abstraction\n", "\n", "Below is the diagram flow underlying the system-level simulator we will\n", "build in this notebook.\n", "\n", "This is an advanced notebook. We recommend first exploring the tutorials on \n", "[physical layer abstraction](https://nvlabs.github.io/sionna/sys/tutorials/notebooks/PHY_Abstraction.html), [link\n", "adaptation](https://nvlabs.github.io/sionna/sys/tutorials/notebooks/LinkAdaptation.html), and [scheduling](https://nvlabs.github.io/sionna/sys/tutorials/notebooks/Scheduling.html)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ 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)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Imports\n", "\n", "We start by importing Sionna and the relevant external libraries:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:27.611115Z", "iopub.status.busy": "2026-08-06T22:10:27.610999Z", "iopub.status.idle": "2026-08-06T22:10:30.936280Z", "shell.execute_reply": "2026-08-06T22:10:30.935212Z" } }, "outputs": [], "source": [ "# Import Sionna\n", "try:\n", " import sionna.sys\n", "except ImportError as e:\n", " import sys\n", " import os\n", " if 'google.colab' in sys.modules:\n", " # Install Sionna in Google Colab\n", " print(\"Installing Sionna and restarting the runtime. Please run the cell again.\")\n", " os.system(\"pip install sionna\")\n", " os.kill(os.getpid(), 5)\n", " else:\n", " raise e\n", "\n", "import torch\n", "import warnings\n", "\n", "warnings.filterwarnings(\n", " \"ignore\",\n", " message=\"Torchinductor does not support code generation for complex operators.*\",\n", ")" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:30.939134Z", "iopub.status.busy": "2026-08-06T22:10:30.938833Z", "iopub.status.idle": "2026-08-06T22:10:30.944351Z", "shell.execute_reply": "2026-08-06T22:10:30.943474Z" } }, "outputs": [], "source": [ "# Additional external libraries\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "# Sionna components\n", "from sionna.sys.utils import spread_across_subcarriers\n", "from sionna.sys import PHYAbstraction, \\\n", " OuterLoopLinkAdaptation, gen_hexgrid_topology, \\\n", " get_pathloss, open_loop_uplink_power_control, downlink_fair_power_control, \\\n", " get_num_hex_in_grid, PFSchedulerSUMIMO\n", "from sionna.phy.constants import BOLTZMANN_CONSTANT\n", "from sionna.phy.utils import db_to_lin, dbm_to_watt, insert_dims\n", "from sionna.phy import config, dtypes, Block\n", "from sionna.phy.channel.tr38901 import UMi, UMa, RMa, PanelArray\n", "from sionna.phy.channel import GenerateOFDMChannel\n", "from sionna.phy.mimo import StreamManagement\n", "from sionna.phy.ofdm import ResourceGrid, RZFPrecodedChannel, EyePrecodedChannel, \\\n", " LMMSEPostEqualizationSINR\n", "\n", "# Set random seed for reproducibility\n", "sionna.phy.config.seed = 42\n", "\n", "# Also set PyTorch and NumPy seeds for full reproducibility\n", "torch.manual_seed(42)\n", "np.random.seed(42)\n", "\n", "# Internal computational precision\n", "sionna.phy.config.precision = 'single' # 'single' or 'double'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Utils\n", "\n", "We will now define several auxiliary functions that are used in this notebook, including:\n", "- Channel matrix evolution;\n", "- User stream management;\n", "- Signal-to-interference-plus-noise-ratio (SINR) computation;\n", "- Achievable rate estimation." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Channel matrix generation\n", "\n", "We assume that channel matrix coefficients are regenerated from a specified 3GPP\n", "model every `coherence_time` slots, following a typical block fading model.\n", "For simplicity, we emulate the impact of fast fading by multiplying the channel\n", "matrix by a factor that follows an autoregressive process evolving at each slot.\n", "\n", "More realistic simulations would include channel evolution based on user\n", "mobility in a ray-traced environment, as for example shown in\n", "the notebook [Sionna SYS meets Sionna RT](https://nvlabs.github.io/sionna/sys/tutorials/notebooks/SYS_Meets_RT.html)." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:30.946529Z", "iopub.status.busy": "2026-08-06T22:10:30.946400Z", "iopub.status.idle": "2026-08-06T22:10:30.952725Z", "shell.execute_reply": "2026-08-06T22:10:30.951930Z" } }, "outputs": [], "source": [ "class ChannelMatrix(Block):\n", " def __init__(self,\n", " resource_grid,\n", " batch_size,\n", " num_rx,\n", " num_tx,\n", " coherence_time,\n", " precision=None,\n", " device=None):\n", " super().__init__(precision=precision, device=device)\n", " self.resource_grid = resource_grid\n", " self.coherence_time = coherence_time\n", " self.batch_size = batch_size\n", " self.num_rx = num_rx\n", " self.num_tx = num_tx\n", " self._init_fading()\n", "\n", " def _init_fading(self):\n", " \"\"\"Initialize/reset fading state tensors.\"\"\"\n", " # Use register_buffer for torch.compile compatibility\n", " if not hasattr(self, '_rho_fading_initialized'):\n", " self.register_buffer(\n", " 'rho_fading',\n", " torch.empty([self.batch_size, self.num_rx, self.num_tx],\n", " dtype=self.dtype, device=self.device).uniform_(0.95, 0.99),\n", " persistent=False\n", " )\n", " self.register_buffer(\n", " 'fading',\n", " torch.ones([self.batch_size, self.num_rx, self.num_tx],\n", " dtype=self.dtype, device=self.device),\n", " persistent=False\n", " )\n", " self._rho_fading_initialized = True\n", " else:\n", " # Reset fading to ones\n", " self.fading.fill_(1.0)\n", "\n", " def reset(self):\n", " \"\"\"Reset the fading state for a new simulation.\"\"\"\n", " self._init_fading()\n", "\n", " def __call__(self, channel_model):\n", " \"\"\"Override __call__ to avoid converting channel_model to tensor.\"\"\"\n", " return self.call(channel_model)\n", "\n", " def call(self, channel_model):\n", " \"\"\"Generate OFDM channel matrix.\"\"\"\n", " ofdm_channel = GenerateOFDMChannel(channel_model, self.resource_grid)\n", " h_freq = ofdm_channel(self.batch_size)\n", " return h_freq\n", "\n", " def update(self, channel_model, h_freq, slot):\n", " \"\"\"Update channel matrix every coherence_time slots.\"\"\"\n", " h_freq_new = self.call(channel_model)\n", " change = ((slot % self.coherence_time) == 0)\n", " if change:\n", " h_freq = h_freq_new\n", " return h_freq\n", "\n", " def apply_fading(self, h_freq):\n", " \"\"\"Apply fading, modeled as an autoregressive process, to channel matrix.\"\"\"\n", " noise = torch.empty_like(self.fading).uniform_(-0.1, 0.1)\n", " new_fading = 1.0 - self.rho_fading + self.rho_fading * self.fading + noise\n", " new_fading = torch.clamp(new_fading, min=1e-6) # Prevent exactly zero fading\n", " self.fading.copy_(new_fading)\n", " \n", " fading_expand = insert_dims(self.fading, 1, axis=2)\n", " fading_expand = insert_dims(fading_expand, 3, axis=4)\n", " h_freq_fading = torch.sqrt(fading_expand).to(self.cdtype) * h_freq\n", " return h_freq_fading\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### User stream management\n", "\n", "The\n", "[StreamManagement](https://nvlabs.github.io/sionna/phy/api/mimo/stream_management.html)\n", "class configures which base station serves which user. \n", "We assume here for\n", "simplicity that each receiver is associated with the nearest base station." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:30.954841Z", "iopub.status.busy": "2026-08-06T22:10:30.954714Z", "iopub.status.idle": "2026-08-06T22:10:30.958827Z", "shell.execute_reply": "2026-08-06T22:10:30.957851Z" } }, "outputs": [], "source": [ "def get_stream_management(direction,\n", " num_rx,\n", " num_tx,\n", " num_streams_per_ut,\n", " num_ut_per_sector):\n", " \"\"\"\n", " Instantiate a StreamManagement object.\n", " It determines which data streams are intended for each receiver\n", " \"\"\"\n", " if direction == 'downlink':\n", " num_streams_per_tx = num_streams_per_ut * num_ut_per_sector\n", " # RX-TX association matrix\n", " rx_tx_association = np.zeros([num_rx, num_tx])\n", " idx = np.array([[i1, i2] for i2 in range(num_tx) for i1 in\n", " np.arange(i2*num_ut_per_sector,\n", " (i2+1)*num_ut_per_sector)])\n", " rx_tx_association[idx[:, 0], idx[:, 1]] = 1\n", "\n", " else:\n", " num_streams_per_tx = num_streams_per_ut\n", " # RX-TX association matrix\n", " rx_tx_association = np.zeros([num_rx, num_tx])\n", " idx = np.array([[i1, i2] for i1 in range(num_rx) for i2 in\n", " np.arange(i1*num_ut_per_sector,\n", " (i1+1)*num_ut_per_sector)])\n", " rx_tx_association[idx[:, 0], idx[:, 1]] = 1\n", "\n", " stream_management = StreamManagement(\n", " rx_tx_association, num_streams_per_tx)\n", " return stream_management" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### SINR computation\n", "\n", "Computing the signal-to-noise-plus-interference-ratio (SINR) is\n", "the first step to determine the block error rate (BLER) and, eventually, the user\n", "throughput, via the physical layer abstraction." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:30.960972Z", "iopub.status.busy": "2026-08-06T22:10:30.960833Z", "iopub.status.idle": "2026-08-06T22:10:30.966324Z", "shell.execute_reply": "2026-08-06T22:10:30.965424Z" } }, "outputs": [], "source": [ "def get_sinr(tx_power,\n", " stream_management,\n", " no,\n", " direction,\n", " h_freq_fading,\n", " num_bs,\n", " num_ut_per_sector,\n", " num_streams_per_ut,\n", " resource_grid):\n", " \"\"\" Compute post-equalization SINR. It is assumed:\n", " - DL: Regularized zero-forcing precoding\n", " - UL: No precoding, only power allocation\n", " LMMSE equalizer is used in both DL and UL.\n", " \"\"\"\n", " # tx_power: [batch_size, num_bs, num_tx_per_sector,\n", " # num_streams_per_tx, num_ofdm_sym, num_subcarriers]\n", " # Flatten across sectors\n", " # [batch_size, num_tx, num_streams_per_tx, num_ofdm_symbols, num_subcarriers]\n", " s = tx_power.shape\n", " tx_power = torch.reshape(tx_power, [s[0], s[1]*s[2]] + list(s[3:]))\n", "\n", " # Compute SINR\n", " # [batch_size, num_ofdm_sym, num_subcarriers, num_ut,\n", " # num_streams_per_ut]\n", " if direction == 'downlink':\n", " # Regularized zero-forcing precoding in the DL\n", " precoded_channel = RZFPrecodedChannel(resource_grid=resource_grid,\n", " stream_management=stream_management)\n", " h_eff = precoded_channel(h_freq_fading,\n", " tx_power=tx_power,\n", " alpha=no) # Regularizer\n", " else:\n", " # No precoding in the UL: just power allocation\n", " precoded_channel = EyePrecodedChannel(resource_grid=resource_grid,\n", " stream_management=stream_management)\n", " h_eff = precoded_channel(h_freq_fading,\n", " tx_power=tx_power)\n", "\n", " # LMMSE equalizer\n", " lmmse_posteq_sinr = LMMSEPostEqualizationSINR(resource_grid=resource_grid,\n", " stream_management=stream_management)\n", " # Post-equalization SINR\n", " # [batch_size, num_ofdm_symbols, num_subcarriers, num_rx, num_streams_per_rx]\n", " sinr = lmmse_posteq_sinr(h_eff, no=no, interference_whitening=True)\n", "\n", " # [batch_size, num_ofdm_symbols, num_subcarriers, num_ut, num_streams_per_ut]\n", " sinr = torch.reshape(\n", " sinr, list(sinr.shape[:-2]) + [num_bs*num_ut_per_sector, num_streams_per_ut])\n", "\n", " # Regroup by sector\n", " # [batch_size, num_ofdm_symbols, num_subcarriers, num_bs, num_ut_per_sector, num_streams_per_ut]\n", " sinr = torch.reshape(\n", " sinr, list(sinr.shape[:-2]) + [num_bs, num_ut_per_sector, num_streams_per_ut])\n", "\n", " # [batch_size, num_bs, num_ofdm_sym, num_subcarriers, num_ut_per_sector, num_streams_per_ut]\n", " sinr = torch.permute(sinr, [0, 3, 1, 2, 4, 5])\n", " return sinr" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Estimation of Achievable Rate\n", "\n", "To fairly allocate users to the appropriate time and frequency resources, the\n", "proportional fairness (PF) scheduler must first estimate the *achievable* rate for\n", "each user.\n", "\n", "Users are then ranked based on the ratio of their achievable rate to\n", "their *achieved* rate, called PF metric. \n", "\n", "Here, we assume that the achievable rate is estimated using the Shannon capacity\n", "based on the effective SINR. \n", "The rate estimation is thus uniform across subcarriers, resulting in only one\n", "user being scheduled per slot." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:30.968357Z", "iopub.status.busy": "2026-08-06T22:10:30.968227Z", "iopub.status.idle": "2026-08-06T22:10:30.971439Z", "shell.execute_reply": "2026-08-06T22:10:30.970562Z" } }, "outputs": [], "source": [ "def estimate_achievable_rate(sinr_eff_db_last,\n", " num_ofdm_sym,\n", " num_subcarriers):\n", " \"\"\" Estimate achievable rate \"\"\"\n", " # [batch_size, num_bs, num_ut_per_sector]\n", " rate_achievable_est = torch.log2(torch.tensor(1.0, dtype=sinr_eff_db_last.dtype) +\n", " db_to_lin(sinr_eff_db_last))\n", "\n", " # Broadcast to time/frequency grid\n", " # [batch_size, num_bs, num_ofdm_sym, num_subcarriers, num_ut_per_sector]\n", " rate_achievable_est = insert_dims(\n", " rate_achievable_est, 2, axis=-2)\n", " rate_achievable_est = torch.tile(rate_achievable_est,\n", " [1, 1, num_ofdm_sym, num_subcarriers, 1])\n", " return rate_achievable_est" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Result recording\n", "\n", "We record the relevant metrics in a dictionary for further analysis, including:\n", "- Number of decoded bits;\n", "- HARQ feedback;\n", "- MCS index;\n", "- Effective SINR;\n", "- Pathloss of serving cell;\n", "- Number of allocated REs;\n", "- Proportional fairness (PF) metric;\n", "- Transmit power;\n", "- Outer-loop link adaptation (OLLA) offset.\n" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:30.973398Z", "iopub.status.busy": "2026-08-06T22:10:30.973272Z", "iopub.status.idle": "2026-08-06T22:10:30.981106Z", "shell.execute_reply": "2026-08-06T22:10:30.980343Z" } }, "outputs": [], "source": [ "class TensorList:\n", " \"\"\"A simple TensorArray-like class for accumulating tensors.\n", " \n", " Pre-allocates storage to avoid dynamic list operations that\n", " cause recompilation in torch.compile.\n", " \"\"\"\n", " def __init__(self, size, element_shape, dtype=torch.float32, device=None):\n", " self.size = size\n", " self.element_shape = element_shape\n", " self.dtype = dtype\n", " # Pre-allocate tensor storage to avoid dynamic list growth\n", " # which causes recompilation in torch.compile\n", " self.data = torch.zeros([size] + list(element_shape), dtype=dtype, device=device)\n", " \n", " def write(self, index, value):\n", " \"\"\"Write a value at the given index using tensor indexing.\"\"\"\n", " # Direct tensor indexing - no dynamic Python operations\n", " self.data[index] = value\n", " return self\n", " \n", " def stack(self):\n", " \"\"\"Return the pre-allocated tensor.\"\"\"\n", " return self.data\n", "\n", "\n", "def init_result_history(batch_size,\n", " num_slots,\n", " num_bs,\n", " num_ut_per_sector,\n", " device=None):\n", " \"\"\" Initialize dictionary containing history of results \"\"\"\n", " hist = {}\n", " for key in ['pathloss_serving_cell',\n", " 'tx_power', 'olla_offset',\n", " 'sinr_eff', 'pf_metric',\n", " 'num_decoded_bits', 'mcs_index',\n", " 'harq', 'num_allocated_re']:\n", " hist[key] = TensorList(\n", " size=num_slots,\n", " element_shape=[batch_size,\n", " num_bs,\n", " num_ut_per_sector],\n", " dtype=torch.float32,\n", " device=device)\n", " return hist\n", "\n", "\n", "def record_results(hist,\n", " slot,\n", " sim_failed=False,\n", " pathloss_serving_cell=None,\n", " num_allocated_re=None,\n", " tx_power_per_ut=None,\n", " num_decoded_bits=None,\n", " mcs_index=None,\n", " harq_feedback=None,\n", " olla_offset=None,\n", " sinr_eff=None,\n", " pf_metric=None,\n", " shape=None):\n", " \"\"\" Record results of last slot \"\"\"\n", " if not sim_failed:\n", " for key, value in zip(['pathloss_serving_cell', 'olla_offset', 'sinr_eff',\n", " 'num_allocated_re', 'tx_power', 'num_decoded_bits',\n", " 'mcs_index', 'harq'],\n", " [pathloss_serving_cell, olla_offset, sinr_eff,\n", " num_allocated_re, tx_power_per_ut, num_decoded_bits,\n", " mcs_index, harq_feedback]):\n", " hist[key] = hist[key].write(slot, value.float())\n", " # Average PF metric across resources\n", " hist['pf_metric'] = hist['pf_metric'].write(\n", " slot, torch.mean(pf_metric, dim=[-2, -3]))\n", " else:\n", " nan_tensor = torch.full(shape, float('nan'), dtype=torch.float32)\n", " for key in hist:\n", " hist[key] = hist[key].write(slot, nan_tensor)\n", " return hist\n", "\n", "\n", "def clean_hist(hist, batch=0):\n", " \"\"\" Extract batch, convert to Numpy, and mask metrics when user is not\n", " scheduled \"\"\"\n", " # Extract batch and convert to Numpy\n", " for key in hist:\n", " if isinstance(hist[key], TensorList):\n", " # Stack and convert to numpy\n", " tensor = hist[key].stack()\n", " if hasattr(tensor, 'cpu'):\n", " tensor = tensor.cpu()\n", " # [num_slots, num_bs, num_ut_per_sector]\n", " hist[key] = tensor.numpy()[:, batch, :, :]\n", " elif isinstance(hist[key], torch.Tensor):\n", " if hasattr(hist[key], 'cpu'):\n", " hist[key] = hist[key].cpu()\n", " hist[key] = hist[key].numpy()[:, batch, :, :]\n", "\n", " # Mask metrics when user is not scheduled\n", " hist['mcs_index'] = np.where(\n", " hist['harq'] == -1, np.nan, hist['mcs_index'])\n", " hist['sinr_eff'] = np.where(\n", " hist['harq'] == -1, np.nan, hist['sinr_eff'])\n", " hist['tx_power'] = np.where(\n", " hist['harq'] == -1, np.nan, hist['tx_power'])\n", " hist['num_allocated_re'] = np.where(\n", " hist['harq'] == -1, 0, hist['num_allocated_re'])\n", " hist['harq'] = np.where(\n", " hist['harq'] == -1, np.nan, hist['harq'])\n", " return hist" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Simulation\n", "\n", "We now put everything together and create a system-level simulator Sionna block.\n", "We will then demonstrate how to instantiate it and run simulations. \n", "\n", "### Sionna block\n", "\n", "We next define a compound Sionna block called `SystemLevelSimulator` composed of multiple submodules. \n", "It is structured as follows:\n", "- `__init__` method, which initializes the main modules, including:\n", " - 3GPP channel model;\n", " - Multicell topology and user drop\n", " - Stream management;\n", " - Physical layer abstraction;\n", " - Scheduler;\n", " - Link adaptation;\n", " - Channel matrix (moved here for `torch.compile` compatibility)\n", "- `call` method, which loops over slots and performs:\n", " - Channel generation;\n", " - Channel estimation, assumed ideal;\n", " - User scheduling;\n", " - Power control;\n", " - Per-stream SINR computation;\n", " - Physical layer abstraction;\n", " - User mobility.\n", "\n", "The `call` method is decorated with `@torch.compile` for optimized performance. The code has been structured to be compilation-friendly by:\n", "- Moving object creation to `__init__`\n", "- Using registered buffers with in-place updates for stateful modules\n", "- Pre-computing values that would cause graph breaks\n", "- Ensuring all tensors are created on the correct device\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:30.983333Z", "iopub.status.busy": "2026-08-06T22:10:30.983203Z", "iopub.status.idle": "2026-08-06T22:10:31.636454Z", "shell.execute_reply": "2026-08-06T22:10:31.635506Z" } }, "outputs": [], "source": [ "class SystemLevelSimulator(Block):\n", " def __init__(self,\n", " batch_size,\n", " num_rings,\n", " num_ut_per_sector,\n", " carrier_frequency,\n", " resource_grid,\n", " scenario,\n", " direction,\n", " ut_array,\n", " bs_array,\n", " bs_max_power_dbm,\n", " ut_max_power_dbm,\n", " coherence_time,\n", " pf_beta=0.98,\n", " max_bs_ut_dist=None,\n", " min_bs_ut_dist=None,\n", " temperature=294,\n", " o2i_model='low',\n", " average_street_width=20.0,\n", " average_building_height=5.0,\n", " precision=None):\n", " super().__init__(precision=precision)\n", "\n", " assert scenario in ['umi', 'uma', 'rma']\n", " assert direction in ['uplink', 'downlink']\n", " self.scenario = scenario\n", " self.batch_size = int(batch_size)\n", " self.resource_grid = resource_grid\n", " self.num_ut_per_sector = int(num_ut_per_sector)\n", " self.direction = direction\n", " self.bs_max_power_dbm = bs_max_power_dbm\n", " self.ut_max_power_dbm = ut_max_power_dbm\n", " self.coherence_time = int(coherence_time)\n", " num_cells = get_num_hex_in_grid(num_rings)\n", " self.num_bs = num_cells * 3\n", " self.num_ut = self.num_bs * self.num_ut_per_sector\n", " self.num_ut_ant = ut_array.num_ant\n", " self.num_bs_ant = bs_array.num_ant\n", " if bs_array.polarization == 'dual':\n", " self.num_bs_ant *= 2\n", " if self.direction == 'uplink':\n", " self.num_tx, self.num_rx = self.num_ut, self.num_bs\n", " self.num_tx_ant, self.num_rx_ant = self.num_ut_ant, self.num_bs_ant\n", " self.num_tx_per_sector = self.num_ut_per_sector\n", " else:\n", " self.num_tx, self.num_rx = self.num_bs, self.num_ut\n", " self.num_tx_ant, self.num_rx_ant = self.num_bs_ant, self.num_ut_ant\n", " self.num_tx_per_sector = 1\n", "\n", " self.num_streams_per_ut = resource_grid.num_streams_per_tx\n", " \n", " # Pre-compute for torch.compile compatibility\n", " self._mcs_category = 1 if direction == 'downlink' else 0\n", "\n", " self.stream_management = get_stream_management(direction,\n", " self.num_rx,\n", " self.num_tx,\n", " self.num_streams_per_ut,\n", " num_ut_per_sector)\n", " self.no = torch.tensor(BOLTZMANN_CONSTANT * temperature *\n", " resource_grid.subcarrier_spacing,\n", " dtype=self.dtype, device=self.device)\n", "\n", " self.slot_duration = resource_grid.ofdm_symbol_duration * \\\n", " resource_grid.num_ofdm_symbols\n", "\n", " self._setup_channel_model(\n", " scenario, carrier_frequency, o2i_model, ut_array, bs_array,\n", " average_street_width, average_building_height)\n", "\n", " self._setup_topology(num_rings, min_bs_ut_dist, max_bs_ut_dist)\n", "\n", " self.phy_abs = PHYAbstraction(precision=self.precision, device=self.device)\n", "\n", " self.olla = OuterLoopLinkAdaptation(\n", " self.phy_abs,\n", " self.num_ut_per_sector,\n", " batch_size=[self.batch_size, self.num_bs],\n", " precision=self.precision,\n", " device=self.device)\n", "\n", " self.scheduler = PFSchedulerSUMIMO(\n", " self.num_ut_per_sector,\n", " resource_grid.fft_size,\n", " resource_grid.num_ofdm_symbols,\n", " batch_size=[self.batch_size, self.num_bs],\n", " num_streams_per_ut=self.num_streams_per_ut,\n", " beta=pf_beta,\n", " precision=self.precision,\n", " device=self.device)\n", "\n", " # Create ChannelMatrix in __init__ for torch.compile compatibility\n", " self.channel_matrix = ChannelMatrix(\n", " self.resource_grid,\n", " self.batch_size,\n", " self.num_rx,\n", " self.num_tx,\n", " self.coherence_time,\n", " precision=self.precision,\n", " device=self.device)\n", " \n", " # Pre-allocate rx_tx_association tensor\n", " self._rx_tx_association = torch.tensor(\n", " self.stream_management.rx_tx_association,\n", " device=self.device)\n", "\n", " def _setup_channel_model(self, scenario, carrier_frequency, o2i_model,\n", " ut_array, bs_array, average_street_width,\n", " average_building_height):\n", " common_params = {\n", " 'carrier_frequency': carrier_frequency,\n", " 'ut_array': ut_array,\n", " 'bs_array': bs_array,\n", " 'direction': self.direction,\n", " 'enable_pathloss': True,\n", " 'enable_shadow_fading': True,\n", " 'precision': self.precision\n", " }\n", "\n", " if scenario == 'umi':\n", " self.channel_model = UMi(o2i_model=o2i_model, **common_params)\n", " elif scenario == 'uma':\n", " self.channel_model = UMa(o2i_model=o2i_model, **common_params)\n", " elif scenario == 'rma':\n", " self.channel_model = RMa(\n", " average_street_width=average_street_width,\n", " average_building_height=average_building_height,\n", " **common_params)\n", "\n", " def _setup_topology(self, num_rings, min_bs_ut_dist, max_bs_ut_dist):\n", " self.ut_loc, self.bs_loc, self.ut_orientations, self.bs_orientations, \\\n", " self.ut_velocities, self.in_state, self.los, self.bs_virtual_loc, self.grid = \\\n", " gen_hexgrid_topology(\n", " batch_size=self.batch_size,\n", " num_rings=num_rings,\n", " num_ut_per_sector=self.num_ut_per_sector,\n", " min_bs_ut_dist=min_bs_ut_dist,\n", " max_bs_ut_dist=max_bs_ut_dist,\n", " scenario=self.scenario,\n", " los=True,\n", " return_grid=True,\n", " precision=self.precision)\n", "\n", " self.channel_model.set_topology(\n", " self.ut_loc, self.bs_loc, self.ut_orientations,\n", " self.bs_orientations, self.ut_velocities,\n", " self.in_state, self.los, self.bs_virtual_loc)\n", "\n", " def _reset_olla(self, bler_target, olla_delta_up):\n", " \"\"\"Reset OLLA parameters - must be called OUTSIDE compiled code.\"\"\"\n", " self.olla.reset()\n", " self.olla.bler_target = bler_target\n", " self.olla.delta_up = olla_delta_up\n", "\n", " def _init_feedback_tensors(self):\n", " \"\"\"Initialize feedback tensors - can be called inside compiled code.\"\"\"\n", " self.channel_matrix.reset()\n", "\n", " last_harq_feedback = -torch.ones(\n", " [self.batch_size, self.num_bs, self.num_ut_per_sector],\n", " dtype=torch.int32, device=self.device)\n", "\n", " sinr_eff_feedback = torch.ones(\n", " [self.batch_size, self.num_bs, self.num_ut_per_sector],\n", " dtype=self.dtype, device=self.device)\n", "\n", " num_decoded_bits = torch.zeros(\n", " [self.batch_size, self.num_bs, self.num_ut_per_sector],\n", " dtype=torch.int32, device=self.device)\n", " return last_harq_feedback, sinr_eff_feedback, num_decoded_bits\n", "\n", " def _group_by_sector(self, tensor):\n", " tensor = torch.reshape(tensor, [self.batch_size,\n", " self.num_bs,\n", " self.num_ut_per_sector,\n", " self.resource_grid.num_ofdm_symbols])\n", " return torch.permute(tensor, [0, 1, 3, 2])\n", "\n", " def call(self,\n", " num_slots,\n", " alpha_ul,\n", " p0_dbm_ul,\n", " bler_target,\n", " olla_delta_up,\n", " mcs_table_index=1,\n", " fairness_dl=0,\n", " guaranteed_power_ratio_dl=0.5):\n", " \"\"\"Main entry point - resets OLLA then runs compiled simulation.\"\"\"\n", " # Reset OLLA parameters OUTSIDE compiled code to avoid graph breaks\n", " self._reset_olla(bler_target, olla_delta_up)\n", " # Run compiled simulation\n", " return self._run_simulation(num_slots, alpha_ul, p0_dbm_ul,\n", " mcs_table_index, fairness_dl,\n", " guaranteed_power_ratio_dl)\n", "\n", " @torch.compile\n", " def _run_simulation(self,\n", " num_slots,\n", " alpha_ul,\n", " p0_dbm_ul,\n", " mcs_table_index=1,\n", " fairness_dl=0,\n", " guaranteed_power_ratio_dl=0.5):\n", " \"\"\"Compiled simulation loop.\"\"\"\n", " # Initialize result history\n", " hist = init_result_history(self.batch_size,\n", " num_slots,\n", " self.num_bs,\n", " self.num_ut_per_sector,\n", " device=self.device)\n", "\n", " # Initialize feedback tensors\n", " harq_feedback, sinr_eff_feedback, num_decoded_bits = \\\n", " self._init_feedback_tensors()\n", "\n", " # Generate initial channel\n", " h_freq = self.channel_matrix(self.channel_model)\n", "\n", " # Simulation loop\n", " for slot in range(num_slots):\n", " # Channel update\n", " h_freq = self.channel_matrix.update(self.channel_model, h_freq, slot)\n", " h_freq_fading = self.channel_matrix.apply_fading(h_freq)\n", "\n", " # Scheduler\n", " rate_achievable_est = estimate_achievable_rate(\n", " self.olla.sinr_eff_db_last,\n", " self.resource_grid.num_ofdm_symbols,\n", " self.resource_grid.fft_size)\n", "\n", " is_scheduled = self.scheduler(num_decoded_bits, rate_achievable_est)\n", "\n", " num_allocated_sc = torch.minimum(\n", " torch.sum(is_scheduled.int(), dim=-1),\n", " torch.ones(1, dtype=torch.int32, device=self.device))\n", " num_allocated_sc = torch.sum(num_allocated_sc, dim=-2)\n", " num_allocated_re = torch.sum(is_scheduled.int(), dim=[-1, -3, -4])\n", "\n", " # Power control\n", " pathloss_all_pairs, pathloss_serving_cell = get_pathloss(\n", " h_freq_fading, rx_tx_association=self._rx_tx_association)\n", " pathloss_serving_cell = self._group_by_sector(pathloss_serving_cell)\n", "\n", " if self.direction == 'uplink':\n", " tx_power_per_ut = open_loop_uplink_power_control(\n", " pathloss_serving_cell,\n", " num_allocated_sc,\n", " alpha=alpha_ul,\n", " p0_dbm=p0_dbm_ul,\n", " ut_max_power_dbm=self.ut_max_power_dbm)\n", " else:\n", " one = torch.ones(1, dtype=pathloss_serving_cell.dtype, device=self.device)\n", " rx_power_tot = torch.sum(one / pathloss_all_pairs, dim=-2)\n", " rx_power_tot = self._group_by_sector(rx_power_tot)\n", " interference_dl = rx_power_tot - one / pathloss_serving_cell\n", " interference_dl = interference_dl * dbm_to_watt(self.bs_max_power_dbm)\n", "\n", " tx_power_per_ut, _ = downlink_fair_power_control(\n", " pathloss_serving_cell,\n", " interference_dl + self.no,\n", " num_allocated_sc,\n", " bs_max_power_dbm=self.bs_max_power_dbm,\n", " guaranteed_power_ratio=guaranteed_power_ratio_dl,\n", " fairness=fairness_dl,\n", " precision=self.precision)\n", "\n", " tx_power = spread_across_subcarriers(\n", " tx_power_per_ut,\n", " is_scheduled,\n", " num_tx=self.num_tx_per_sector,\n", " precision=self.precision)\n", "\n", " # Per-stream SINR\n", " sinr = get_sinr(tx_power,\n", " self.stream_management,\n", " self.no,\n", " self.direction,\n", " h_freq_fading,\n", " self.num_bs,\n", " self.num_ut_per_sector,\n", " self.num_streams_per_ut,\n", " self.resource_grid)\n", "\n", " # Link adaptation\n", " mcs_index = self.olla(num_allocated_re,\n", " harq_feedback=harq_feedback,\n", " sinr_eff=sinr_eff_feedback)\n", "\n", " # PHY abstraction\n", " num_decoded_bits, harq_feedback, sinr_eff, _, _ = self.phy_abs(\n", " mcs_index,\n", " sinr=sinr,\n", " mcs_table_index=mcs_table_index,\n", " mcs_category=self._mcs_category)\n", "\n", " # SINR feedback\n", " sinr_eff_feedback = torch.where(\n", " num_allocated_re > 0,\n", " sinr_eff,\n", " torch.zeros(1, dtype=self.dtype, device=self.device))\n", "\n", " # Record results\n", " hist = record_results(hist,\n", " slot,\n", " sim_failed=False,\n", " pathloss_serving_cell=torch.sum(pathloss_serving_cell, dim=-2),\n", " num_allocated_re=num_allocated_re,\n", " tx_power_per_ut=torch.sum(tx_power_per_ut, dim=-2),\n", " num_decoded_bits=num_decoded_bits,\n", " mcs_index=mcs_index,\n", " harq_feedback=harq_feedback,\n", " olla_offset=self.olla.offset,\n", " sinr_eff=sinr_eff,\n", " pf_metric=self.scheduler.pf_metric)\n", "\n", " # User mobility\n", " self.ut_loc = self.ut_loc + self.ut_velocities * self.slot_duration\n", " self.channel_model.set_topology(\n", " self.ut_loc, self.bs_loc, self.ut_orientations,\n", " self.bs_orientations, self.ut_velocities,\n", " self.in_state, self.los, self.bs_virtual_loc)\n", "\n", " for key in hist:\n", " hist[key] = hist[key].stack()\n", " return hist\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Scenario parameters\n", "\n", "To initialize the system-level simulator, we must define the following parameters:\n", "- 3GPP desidered scenario and the multicell grid;\n", "- Communication direction (downlink or uplink);\n", "- OFDM resource grid configuration;\n", "- Modulation and coding scheme table;\n", "- Transmit power for the base stations and user terminals;\n", "- Antenna arrays at the base stations and user terminals.\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:31.638819Z", "iopub.status.busy": "2026-08-06T22:10:31.638527Z", "iopub.status.idle": "2026-08-06T22:10:31.642222Z", "shell.execute_reply": "2026-08-06T22:10:31.641284Z" } }, "outputs": [], "source": [ "# Communication direction\n", "direction = 'downlink' # 'uplink' or 'downlink'\n", "\n", "# 3GPP scenario parameters\n", "scenario = 'umi' # 'umi', 'uma' or 'rma'\n", "\n", "# Number of rings of the hexagonal grid\n", "# With num_rings=1, 7*3=21 base stations are placed\n", "num_rings = 1\n", "\n", "# N. users per sector\n", "num_ut_per_sector = 10\n", "\n", "# Max/min distance between base station and served users\n", "max_bs_ut_dist = 80 # [m]\n", "min_bs_ut_dist = 0 # [m]\n", "\n", "# Carrier frequency\n", "carrier_frequency = 3.5e9 # [Hz]\n", "\n", "# Transmit power for base station and user terminals\n", "bs_max_power_dbm = 56 # [dBm]\n", "ut_max_power_dbm = 26 # [dBm]\n", "\n", "# Channel is regenerated every coherence_time slots\n", "coherence_time = 100 # [slots]\n", "\n", "# MCS table index\n", "# Ranges within [1;4] for downlink and [1;2] for uplink, as in TS 38.214\n", "mcs_table_index = 1\n", "\n", "# Number of examples\n", "batch_size = 1" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:31.644212Z", "iopub.status.busy": "2026-08-06T22:10:31.644085Z", "iopub.status.idle": "2026-08-06T22:10:31.804755Z", "shell.execute_reply": "2026-08-06T22:10:31.803751Z" } }, "outputs": [], "source": [ "# Create the antenna arrays at the base stations\n", "bs_array = PanelArray(num_rows_per_panel=2,\n", " num_cols_per_panel=3,\n", " polarization='dual',\n", " polarization_type='VH',\n", " antenna_pattern='38.901',\n", " carrier_frequency=carrier_frequency)\n", "\n", "# Create the antenna array at the user terminals\n", "ut_array = PanelArray(num_rows_per_panel=1,\n", " num_cols_per_panel=1,\n", " polarization='single',\n", " polarization_type='V',\n", " antenna_pattern='omni',\n", " carrier_frequency=carrier_frequency)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:31.806869Z", "iopub.status.busy": "2026-08-06T22:10:31.806722Z", "iopub.status.idle": "2026-08-06T22:10:31.874555Z", "shell.execute_reply": "2026-08-06T22:10:31.873525Z" } }, "outputs": [], "source": [ "# n. OFDM symbols, i.e., time samples, in a slot\n", "num_ofdm_sym = 1\n", "# N. available subcarriers\n", "num_subcarriers = 128\n", "# Subcarrier spacing, i.e., bandwitdh width of each subcarrier\n", "subcarrier_spacing = 15e3 # [Hz]\n", "\n", "# Create the OFDM resource grid\n", "resource_grid = ResourceGrid(num_ofdm_symbols=num_ofdm_sym,\n", " fft_size=num_subcarriers,\n", " subcarrier_spacing=subcarrier_spacing,\n", " num_tx=num_ut_per_sector,\n", " num_streams_per_tx=ut_array.num_ant)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Simulator initialization\n", "\n", "We can now initialize the `SystemLevelSimulator` block by providing the\n", "scenario parameters as inputs." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:31.876732Z", "iopub.status.busy": "2026-08-06T22:10:31.876589Z", "iopub.status.idle": "2026-08-06T22:10:32.530254Z", "shell.execute_reply": "2026-08-06T22:10:32.529292Z" } }, "outputs": [], "source": [ "# Initialize SYS object\n", "sls = SystemLevelSimulator(\n", " batch_size,\n", " num_rings,\n", " num_ut_per_sector,\n", " carrier_frequency,\n", " resource_grid,\n", " scenario,\n", " direction,\n", " ut_array,\n", " bs_array,\n", " bs_max_power_dbm,\n", " ut_max_power_dbm,\n", " coherence_time,\n", " max_bs_ut_dist=max_bs_ut_dist,\n", " min_bs_ut_dist=min_bs_ut_dist,\n", " temperature=294, # Environment temperature for noise power computation\n", " o2i_model='low', # 'low' or 'high',\n", " average_street_width=20.,\n", " average_building_height=10.)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We visualize below the multicell topology we just created:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:32.532120Z", "iopub.status.busy": "2026-08-06T22:10:32.531979Z", "iopub.status.idle": "2026-08-06T22:10:32.637583Z", "shell.execute_reply": "2026-08-06T22:10:32.636601Z" } }, "outputs": [ { "data": { "image/png": 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GAG6+WYhA375EJSWyrdEXl7i4hNgIkQmVkyeJqlcXefDaa/7D6SHCRBcKrpECTKRNhMeMGUN9+/al8+fPExHR6dOnad68eUREtGvXLqpcuTJ988037u/PmzePatWqRWfOnCEiRaBuu+02Kioq8muLK1z//v3d9/Gtt96imJgYyszMJCKiHTt2kMPhoPnz5xMRUV5eHvXt25f69u3rjkfNXm+B3bJlCwGgEydOuL/vHUZLmi7bH3jgASr+t7U2d+5cio+P91smWISDhEWYMYv0dFH5R0YSbdsm2xp9MVtsQmHuXJEPNWsSnT7tO4xeIkxkbuNEiwiPHDmSrrnmGp8COnHiROrSpQtt3LiRNmzYQL/99hv99ttvFBcXRytWrCAiRaC2bt2qaosr3Nq1a0tdb968Oc2cOZOIiCZNmkSdOnUq9fkvv/yi2d5gRFhLmi7b9+7d6w7zzz//EADasWOHz9+rtwjzmDDD6Mj588r478iRwCWXSDVHV1yTsBITE91jwJ5jxH379pW+TMmTRx8F2rcHTp0Cpk0zPr2kpCRER0ejqKgI0dHR0sfJx48fjyNHjqBBgwa4++678cEHH6CoqAgAsGvXLhw8eBCjRo3CE088gdGjR2P06NHo0KHDBUt8mmjc5LxNmzYXvN//7xT1ffv2oV27dqU+b9++vfuzsuwNBi1puqhTp477dVxcHAAgNzc36LQDgUWYYXRk3jxg61agenVzKn4zcTqdSExMRHp6eqmJSElJSe7rwSxTMmpiU1QU8NJL4vUrr4gzh40kLS3NLcBFRUV+f5MeREREgLyOgvcWzxYtWmDr1q344Ycf0LNnT8ycORMJCQkAgNjYWHTq1Anr16+/4O+GG24oFU9kpDaZ8Bat3Nxc95m6lStXRk5OTqnPXe9dE6nU7A0GLWlaAs19ZpvD7mjGaE6fFq5PQLhCw4GpU6f6nXCUmJjo/hwhuF+Nntg0eLDIk2uuuXB83q5jwhs3biQAdPz4cfe1999/v5SrNScnp9R31q1bRwDo5MmT9Nprr1HFihXp4MGDpcIUFha6x0Zdrtpz586p2uIK9/bbb7uvnTp1iipVqkQLFy4kIqJXX32VatSoQbm5ue4w77zzDlWqVMldJ6vZ6+1q/uuvvwgAHT582B3eO4yWNH39xjNnzhAA2rhxo8/fy2PCQcIizBjNmDGism/fXn1Grp3wJyaJiYkEgBwOhy5iY6SI7dlDFB0t8mbp0tKf2XV2dGFhITVr1oxuuukm+v777+mNN96ghg0blhLhu+++m5544gn66quvaOXKlTRo0CC69NJLiYiooKCArrjiCmrZsiW9//77tGrVKnrxxRepXbt2dPLkSSIKXITr1KlDb775Ji1btox69+5Nl1xyiXuSVUFBAbVq1Yr69etHy5cvpzfffJOqVq1Kzz77rDseNXu9BTYvL48qV65MSUlJ9Msvv9Du3bsvCKMlTRZhE2ERZoxkxw6iqChR0X/3nWxr9MWfQLoEWK9lSkZObJo0SeRNq1ZEhYXKdT1E2Je3wEVqaipNnTo16LjV2Lt3Lz344IPUt29fGjVqFK1fv566d+/u7h0WFhbSK6+8QjfeeCNdc801NGXKFDp27Jj7+3l5eTR79mwaOHAg9evXj8aNG0f79+93f759+3bq3r075eXlqdrhErLffvuNHn74YUpISKCRI0fS0aNHS4U7duwYjRs3jvr06UPXX3/9BUuY1Ozdt28fde/enU6dOuUO/91339GQIUOoR48eNGXKFJ9hykrT1288d+4cde/enXbu3Onz97IIBwmLMGMUJSVEAwaISv7GG2VbYwzeAunqCestmEatP87KIqpTR+TR888r1/WcHV1e0dpjDhd4djTDWIxvvgFWrgQqVFD2Lg43PGf+OhwOpKenIzU1FYWFhe7Z0aFORDJyYlOVKsqhDqmpwLFjukXNMCHBIswwIVBUBIwdK16PHQu0bCnXHqNwCaTD4XDPkva1TClY4fTcg1pPYffk/vuBLl2A7GyxlzejD5UrV0b37t2lH+BhW/TsplsZdkczRvD888LFWaeOcHmGI55jwlOnTnW7on1NRApm/NPMiU0//yzyKyKCaPNmdkczgaO3O5pPUWKYIDl+XLg2AXFM4b9LIsMKf6ckua4DKNUjDgan0+nzEAjXe++DBUKhZ0/grruABQvE+cMrV+oWNcMEBYswwwTJM88I12aXLsADD8i2xhjMEEi1zTiM2HVq5kzgq6+AtWuBb78F2rbVPQmG0UwEkde2K2FKdnY2qlatiqysLPcuLgwTLFu2CPElAtatA3r1Mja9lJQUOBwOn6KUlpYGp9NpqS0jrU5qKjB1KtC9ewHeeedvNG/eFBUrVpRtFmMD8vPzceDAATRr1gyxsbGlPgtGZ3hiFsMECJFwZRIJ16bRAgwADofD50Qll1uYJ8UExoQJQOPGwPbtFXDmDJCXlyfbJMYmuMpKhQoVdImP3dEMEyCLFglXZsWKwrVpBq4esOc4rL/xWqZs4uKAWbOAO+5w4OOPq2HUqOP/Xo9DRESEZOsYK0JEyMvLw/Hjx1GtWjXdGr7sjmaYAMjPF2OIBw8CKSnCpWkmLuF1raVlAQ4eIqBPH2DdOsJLLx1F//5nZZvE2IBq1aqhbt26PhtrwegMizDDBEBaGpCcDDRqBPz1l+hRmU1MTIx7U4vCwkLzDQgjNm8GLr/cNbbvRJcuxWV/iSm3VKhQQbUHHIzOsDuaYTSSmansujRrlhwB9rWrFPeEg6dzZ2DYMHEE5ZgxDmzY4IDGk/sYRhe4uDGMRiZPFu7o3r2B2283P30zdpUqj0yfLtZ4b9oEfPCBbGuY8gaLMMNo4JdfgPnzgYgIYM4c8V9P/B1sn5KSgr59++Lqq6/2OQkrISGBhThE6tQRQwwAMGWKWPvNMGbBIswwZVBSIpYkAcBDDwkXpt74W4K0du1apKen48CBA6UE2NUrTkxMRGpqqq67SpVHnngCaNVKHOzw7LOyrWHKEzwmzDBl8OGHwO+/A5UrA//3f8ak4W8JUnp6OhITE5Genu4O6xLghISEUt/1hDfwCIzoaGD2bOCGG4AXXwQefjh8D+NgLIYuO1rbAD7AgQkGz3NoZ80yPj1/B9v7um7mwQe+kHWYvVF4ngs9eLBsaxg7EozOsAgzjApPPSUq5VatiAoLzUnT38H2vq57C65ZAqyWlhk2GNUA2LGDyOEQef7ddyEYyJRLWIRVYBFmAmXPHqLoaFEhL11qTpqB9IS9vxMZGelX/IzqmcpqBBjZABgzRuT5xRcTFReHaChTrmARVoFFmAmUwYNFZXzNNcJVaTT+BM37/F5fQuMSZxk9U7UGgpEY1QA4fZqoZk2R93Pn6mEpU15gEVaBRZgJhFWrRCXscBD9+afx6fkTEJcAJyYm+g3vLYIyeqb+XOhGY1QD4LXXRP5Xr0508qQuUTLlABZhFViEGa0UFxO1by8q4dGjzUnT3xjn1KlTKTEx0acrOTU1lRISEnyKrpk9UzN6wmpjwA6HQ/cGQHExUYcOogyMGqVbtEyYwyKsAoswo5VXXhGVb82awjVpVcoaF9VLmNQEUIurXA/K8hS4hFjPdFevVrwh27bpFi0TxrAIq8AizGjh5EnhggSES9LK+BNHl2DpJUyhuMr1xDte7/SNSPfmm0VZ6NvXnHkBjL1hEVaBRZjRwqhRotLt0MGeM2ONmqykNmnMX3gjZ2O7GhhGNwD27SOKiRFl4quvdImSCWNYhFVgEWbKYvt2ZY3o6tWyrQkco9ftypoF7Y0rfYfD4fNzvRsAU6aIMtGiBVFBgW7RMmFIMDrD5wkzDMR5sgMGAKtWAUOGAF98IduiwElJSYHD4TB0G0vZZxm7tux0HeXofaCFEZw7B7RpAxw5AsycCUyaZGhyjI0JSmcMaxJYDO4JM2osWSJ6O9HRwgXJXIjsnrDM3cE++ECUj/h4oiNHDE+OsSnsjlaBRZjxR0GBcDUCwvXIXIhMAVRLzyw7nE6ibt1EGXnwQUOTYmxMMDrDpygx5Z45c4B9+4B69cR5skxpXC5gT9evr1OfjMTpdPp0PbveG32UY2SkKCc9egDvvQc89hhw+eWGJsmUE3hMmCnXHD0KtG4txv3efx+4/37ZFlkPM8aa7cK99wIffwz07AmsWwdERMi2iLESwegMizBTrhk2DHj3XaBrV2D9etHjsSoshvL55x/RaMvLA+bPB+66S7ZFjJUIRmcsXOUwjLH8/rtwLQLC1WhlAQYAh8OB5ORkpKWllbruchc7HA5JlimkpKRcYJ+LtLQ02zcSGjQAnn5avJ40CcjNlWsPEwYYND5tOXhiFuNJSQlRz55ios0998i2RjuyJ0iVdY6v917Wnp+ZaaeR5OURNW0qyk5ysmxrGCthudnRBQUF9NZbb9HQoUPp9ttvp1mzZlFOTs4F4f766y8aOXIkDRw4kMaMGUMHDx4MKowaLMKMJ/Pni0o0Lo7o0CHZ1gSGzKVCWmYpy24omMHixaL8xMYSHTgg2xrGKlhOhDt37kwjRoygjz76iObPn0+dOnWijh07Um5urjvMrl27qEqVKnTffffRZ599RjfeeCPVrVuXjngsxtMSpixYhBkXublEDRuKSjQtTbY1wSHr6EAibb1x2WuKjaakhKhPH1GG7rhDtjWMVbCcCJ86darU+yNHjlBERAQtXrzYfW3o0KHUrVs39/uioiJq0qQJTZgwIaAwZcEizLiYOlVUnk2aCNei3TBL4DIzidLTxf9gbJDZUDCDLVuIIiNFWfrpJ9nWMFbAcuuEa9SoUep91apV4XA4kOsxm+G7777Dk08+6X5foUIFDBo0CN999x1mzZqlOUx5p7BQ/DHqZGaKrQcB4PnngYoV5doTKN5rdl3vAX3X6r7zDjBiBFBSIiasvfWWmEnuIikpCdOnT3dvYemddlpamvuzoqIipKWlGb6W2GwuuwwYPhx4803giSeANWsAC8yNszyVKvF9KoWBjYILePbZZyk2NpYO/TsIl5ubSwDogw8+KBVuxowZVKVKFc1hfFFQUEBZWVnuv8zMzLDtCa9dK8amxA7I/Kflr0sX+x1NZ9auUZmZSg/P9edwlO4Rq/WEy8OYsIvjx/nZC/SvWTMiLydp2GC5nrAny5cvR3JyMt544w00aNAAAFBUVAQAqOjVHYmLi3N/piWML2bMmIFp06bpZr9VOX9e7N5TUCDbEnuxe7eoEuy02YJZu0bt2SN6wKXTBvbuBRo2VO+NA5C+u5aZHD3Kz16g/P03MG2aWBbIAKaI8KpVq3Drrbfiv//9L4Z5+LTi4+MRFRWF06dPlwp/6tQpVK9eXXMYX0yZMgXjxo1zv8/OzkajRo30+DmWYt48YNs2oHp1YMcO8Z/xz+bNYrejc+eAMWOAuXNlW6QdtTW2egpbq1bCBe0pxA4H0LJl2VtYJiQkSN1e0mxuvVX8j4sDjh8HongjYFV++AG49lrg1VeBRx4BLr5YtkUWwMCeORERrVq1iipWrEjPPfecz88vu+wyGjFiRKlrgwYNouuuuy6gMGURjhOzTp8mqllTuHjmzpVtjX3o21dxsZ44IdsaazJvnnK2ssMh3hOVvU5Yz3N8rc5HHyku1jfflG2NfRg8WNyza66x35BQWVhudvTq1atVBZiI6KWXXqLq1avTnj17iIho48aNFB0dTZ9++mlAYcoiHEV4zBhRmNu3Jyoulm2NfTh1ShGYPn1kW2NdMjOJ1qzxPTu6vON0ElWuLMpQ06ayrbEXe/aII0MBoqVLZVujL5YT4WrVqlF8fDz17du31J/nJKvz58/TfffdR3FxcdS5c2eKjY2lsWPHlopHS5iyCDcR/vNPRUhWrZJtjf0YN07pxfzyi2xrGLvxxBNK+dmwQbY19uOpp8S9a9mSqLBQtjX6EYzOGHqAw5o1a3yOATVv3hzNmzcvdS0jIwMHDx5EixYtUL9+fZ/xaQnjj3A6wIEIuO46YOVK4MYbgSVLZFtkP0pKgBo1gKwsoFEj4OBB2RYxduHkSaBuXTFZLTERWL1atkX249w5Mffg2DFg1ixgwgTZFukDn6KkQjiJ8PLlwKBBQIUKYjJWy5ayLbInn34K3HmneD13LjBqlFx77EZ5PdUpIQH48UcxWe34cdGYYwLnvfeAhx4CqlQRqxXq1JFtUejwKUrlgKIiYOxY8XrsWBbgULjjDqBtW/F60iRxbxnt2OFUJ7359VchwAAwejQLcCjcfz/QpQuQnQ0884xsayRikGvccoTLmPDzz4uxlDp1iGz+UyzBjh3K2N7998u2xn6Up405iIgaNxZlpWpVMTmLCY2ffxb3MyKCaNMm2daEjuUmZlmJcBDho0eJqlQRhfbdd2VbEz64lkxERBBlZMi2xn6E+2ENLubOVRpsCxfKtiZ8uPtucU9797b/kiXLTcyyEuEwJjx8uNico0sXYMMG6x9CbxdycoRbsbgYuPxyYONG2RYJrDDmqtWGmJgY917RhWG4iXlxMVC1KpCfL4Ywdu6UbVH4cOgQ0KYNkJcn5mncfrtsi4KHx4TDmC1bxKb6gNjuzQwBTklJuWC8z0VaWlrYTLqJjwf+8x/x+vffgVWr5Nrjwgpjrlps8HVYQ7gxYoQQYABYvFiuLeFGw4bAU0+J1xMnCjEuVxjWL7cYdnZHl5QQXXmlcNncdZd56Zp1YIBVuOgiZbzdKlhhzFXNBivYZzSZmWKoAiC68UbZ1oQnubnKePu0abKtCR4eE1bBziL86aeicFasSHTwoLlpl4dK1sXy5cqY3/TpxqQRzLaPRo65Tp06lRISEnzGmZqaSgkJCW6bvW3Q2kiz+1aXXbuKMlGhAtG5c7KtCV9k1nN6wSKsgl1F2AotxPIy8YaIqHNnca+jo8W915tgvQuuex8dHW2IPd5p+7rubYNWcbWzR+W775SGWUqKbGvCG1kePz1hEVbBriI8bZoolI0bGyMKWjFKBKzGgQOK6/Hmm41JI1DvgtGNIG/B9SXAodpgV49KnTqiLNSqJduS8sHmzcrzt26dbGsCh0VYBTuK8MGDwjUje0lEeeoJEylLJiIiiP76y5g0tN5Ts8TLU3j9CXCoNtitHD37rNILXrZMtjXBYcehgIcfFve8Sxf7rcVmEVbBjiJshfVzVujBmF2RFBYSxcYqJ1QZRVneBbPduC57PG3S2wa7eFRyc4liYkQZ6NRJtjXBY8ehADvvh8AirILdRHjdOvk7yVjlAZZhx4svKr2gxYt1j15Tr9DMxoe/nrCeNtipJ3zLLcrzt3+/bGtCwwoN6UCx686ALMIq2EmEnU7higGEa0YWVnJlyahIGjQQeVCtmr5uMatVilrGhPVKwyq/WY2//lLGJe++W7Y1+mCnBhCR8Ea1aiXyYNIk2dZoh0VYBTuJ8LvvisJXpYpwzTACsyuStWuV3rBeFYHevfpQG0qBzI4OFqt4VLRyySUiz2Njw+usW7sMBbhYtkxZqbBnj2xrtBGMzvCOWRYjOxuYMkW8TkoKj+O99MC1O5drV6bo6Gj3VopG7d7VuzfQq5d4PXs2cPZs6HE6nU6kpqZesA1kUlISUlNTfZ6/rUaou2o5nU4kJCRcYJPLnoSEhIBt8pVGIL9Z5k5tn38ObN8uXj/7LBAdbVhSpmLHXc0GDgQGDBCnm4XLecM+MbBRYCns0hN+6inR+mvVKrxa4aHi2TPTsmGEXhw5QhQZKfJkwABDkggZO7l6tSCr5+x0ElWvLvK6QQNDkpCCHuVD1tDUjh1EDofIk+++MyQJXWF3tAp2EOE9e4TrBSBaulS2NdbCjHFLfzz6qOKWtupxa3Yb8ysLGQ2LyZOVfP7xR8OSMRW9GjQyhxTGjBF5cvHFRMXFhiWjCyzCKthBhF1H6g0YYP8jvfTE80H3FhszBKe4mCg+XuRNixaGJhUSeo/5yZ6YZ2bD4swZoqgokce9ehmWjOkYMbvdbI/L6dNENWuKvJk719CkQoZFWAWri7BrezyHQ7hgGAXvisRTbMyape2aLGfVtYtGCJYVJlSZNZlowACRt5GRYgiC8Y0sj8vrr4v8qV6d6ORJU5IMChZhFawswsXFYlMIgGj0aNnWmEOwLXSZbtfmzUUexccTnT9vWrJlYmQPReZ4s1l5vWWL0sB65BFDkggrZMyyLi4m6tBB5NGoUaYlGzAswipYWYRfeUUUrpo1heulPBBML0v2BKRNm5TK+tFHTUmyTMzorcpo+JiZ1y1bijytVCm0MUfZ7nszkNkIXr1a8RZu22ZasgHBIqyCVUX45EllRuZrr8m2xlwCqWit4BolIrrmGmPclsFW4GZV/Gb2fszM6/ffVxpW8+aFFpdVyqhRyG4EE4lDVQCifv2sOW+GRVgFq4rwqFGiUHXoYP2Zf0agtWVtlV6G5wSe3r31i9fKFbjZvR+z8trpVCbcNW+uS5SWECotBHqPrVI+9+1T9vRessSUJAOCRVgFK4rwtm3KGrjVq2VbIw+77eQzaZLSe1q7Vr94rViBW9EmvRg50pilZ3ZYLhaoqFqlEUxE9PTTykqFggLTktUEi7AKVhPhkhLhUgGIhgyRbY087FBheeN0iv2kYcCmDla6H1bp/RjBsWPKJiz9++sfvx0alnZtYJ07R1Svnsi7mTNlW1MaFmEVrCbCS5Yo+6Lu2yfbGjnYtRIgIlq0SOlFvfSSvnFbpQK3Uu9Hb668UuRdVJQYYtATWQ2pYPLLSo2+QPjgA2WlgpWWlLEIq2AlES4oEK4UgGjKFNnWyCEcelmuZWV6bvRvVqUYzgJbFp4Hc0ycqG/cVljSFegzZZVGXyA4nUTduok8fPBB2dYosAirYCURnjlTFJ569Yiys2VbI4dwEAHPI++GDg09PjMr8HBoBAVLw4bmHFFZ1nUjCLQM2bUnTET066/Kmc8bN8q2RsAirIJVRPjIEWVG5gcf6BOn3QXNzva7lkxERBAdOBB8PDIqcDsPBwTLSy8pveBFi/SN2yrlWKuwhkP+33uvyMuePa2xZIlFWAWriPCDD4pC062bfq1wK7TAQ8HO9ufmKodudO4cfDyyKnA794QCpbBQDB3g38MAwpmyXMwynzk9y/qhQ2KTFYBo/nydDAwBFmEVrCDCGzcq7stff9U3bru3au1s//TpSu/qm29kWxM4dhwTDAZXrykigmjnTtnWGIeWhpXMXrveDQDX89ewIVFOjp6WBg6LsAqyRbikRLhMAKJ77jEmDbv3auxsf+3aIm8vuki2JYFh53seCAcOKA3gcF4SaPXGrEv8/dmZkJAQcJx5eURNm4q8TU7W2+LAYBFWQbYIz58vCklcnHChGIXdezV2tf/bb5XecEqKbGu0YfUKW0+6dFGWBObmyrXFqF6oHYZ1PG3xbgCGYuPixcpKhYwMnY0OABZhFWSKcE6OMiNz+nTj0tG7V2O2y8ruvbLLL1cq+nPnZFujjh0qbL345hulgWTk86cVo+69VSaGlYXn79TrXPCSEqKEBJHHd9yho7EBwiKsgkwRTk4WhaNpU+E6MQIjejVmVtRG2G92pZSRobg8Bw/WNWrdsUuFrQcXXSTypHZt2ZYoWMULIXtCoOdfqL/9f/9TdkH76SedDA0QFmEVZIlwRoYyI1PvJREughFLrQ+fGZWFUWIvo7d3331Kr+vPP3WPXpXyJKxamTZNyY9vv5VtTWms4PmR5RHxFOHo6Gjd0nvkEZHXnTrJOfObRVgFWSJ8xx2iUPTpY9w6tlC2q9Py8BldWRgpHmb3OAoLiSpWFHnerp0hSfjFii5mmQ0Dz+VjXboYlkxIWGEOhNnPiLcAe48Rh5Lu8eNEVauKPH/7bf1s1gqLsAoyRPinn5SzZ7dsMS1ZzQTy8FmhsggWs3scc+cqva+FCw1N6gKs4ub0Z09Z1/XkppuUJUkyJ+v4wwo9YRm2JCQk+C2jejTMXnxRGX44ezZ0ewOBRVgFs0X4/HnhEgGEi8SqaHn4rFRZBIvZjYhGjUTeV62q79aIWrBafsloGOzYoTSE7rvPsGSCxmqNJSJznhEzGmVFRURt24q8nzAh5OgCgkVYBbNF+O23lUr4+HFTkgwatYfPipVFoMgQpV9+UURg3DjDk7sAq3kuzM6Diy8W975iRf0O19ALKw4bmJU/Zg1PrFgh8r9CBaJdu3SJUhMswiqYKcJnzyqbN8yebXhyIaH28FmxsggUmY2Iq64SZcDhIDp1yvDk3FitJ+zCrIbBp58qDaCXXzY0qaCw2gS6cGho+2LgQFEGBg0yL00WYRXMFOEJE0Tmt2ljvVa4J2U9fFarLAJFdiPi2DEhwABR376GJuXGqhWqWQ0Dp1OcjgSIIQFGHdnPiJH89Zc4L9rMmfEswiqYJcK7dgkXCCy+j7BdH75AGgZWaESMGqX0yow+bs2qeWpmw8DVAAaI1q3TPfqwwwrPiJGMG6esVCgqMj49FmEVzBLhQYNEpg8caGgyIWPXh8+qQuMPp5OocmVRJpo1MzYtK+apmfl1+rTS87nqKt2itQRWzFs7cOaMslnLnDnGp8cirIIZIuzaPzgqSrhCGGOwqsvVHx99pPTO3npLtjXmYqZ49OunjMEfO6ZbtJbAbo1PK/HWW6JcVKtGdOKEsWmxCKtgtAgXFQmXB0A0dqwhSTAeWHXykT9atRJlo1IlouJi2daEHxs3Kg2dxx6TbY0x2K3xaRXOnye69FJRNkaONDYtFmEVjBbhOXNEJteqJVwgjPFYbRmOGn/8oYjE8OGyrQk/mjcX97ZyZfPXZZuJ3RqfLmS703/4Qdk4aetW49IJRmciwYTMyZPA1Kni9f/9H1CtmlRzygVpaWkoKipCdHQ0ioqKkJaWJtskVTp2BK67Trx+5x3g8GG59oQT8+YB+/eL16+8AkSGca2WlJTkLvPR0dFISkqSbZImHA4HkpOTL3hO09LSkJycDIfDYWj6ffoAt90GlJQAY8aI5rBlMK5NYC2M7AmPHClaWZdeKmfTcLsRaqvYrm65rCxl4lCPHrKtCQ+Ki4WLHxAu/3DH7J6wnj1Y2c/t338rh+l88YUxabA7WgWjRPiPP5Tjs374QdeoDUO2ayiUSSb+wnjvR+v9HavMHn36acUtvWaNbGvsz4gRyv384w/Z1hiLDBHTe0KYbHd6UpKyUiE/X//4WYRVMEKES0qIrr5aZOqtt+oWreFYYaZlsBWKvwaE6/sJCQmq6cjG6SSqUUOUmfr1ZVtjb44cURrA114r2xpjkfnM6i3+Mudy5OQQNWggysyzz+ofP4uwCkaI8BdfiMyMiRGuDjsh2zXkmaZerWIr/CYtfPml0nt7/nnZ1tiXnj2VJYEmn1BqOlbxXoX6rJYVjxm/8+OPlZUK//wTcnSlsKwIFxQU0J49e+jcuXN+w+Tn59PBgwepUGWfRy1h/KG3COfnC5cGQPTMM7pEaTqyXUNE+rWKXQ+vr99kJXe0iw4dRNmJjTXGLRburFmjNGSmTJFtTfkg1GdVSyPZjB5/SYmYkwEQ3X9/yNGVwnIinJmZSZMmTaL69esTAProo498hktOTqaKFStSjRo1qHLlyvSyj13XtYRRQ28RfvZZkYkNGggXh13RWwR94U8E9WwEeD6knr/Jqr3hvXvFObcA0Z13yrbGftSvL+5djRrhvSTJKoT6rAYirmZ4tDZsUBpxv/2mW7TWE+GPP/6YZsyYQceOHfMrwh9++CFVrFiRfv75ZyIiWrJkCTkcDvruu+8CClMWeorwP/8oMzI//jjk6KRhlAgGc12PB80Vh+dvsqIAu7jtNuXQ+X37ZFtjH154QalAjZrlyijo8awG2kg3w0v3wAOiDHXvrl9DznIiXCohPyLco0cPuueee0pdS0hIoCFDhgQUpiz0FOH771eWmZSUhBydFIwUQVcc48eL9+PHByfMwaZvFxHOzxfzCQCiyy6TbY09yM9Xlpl06CDbGmuTmUmUni7+B4vMCWFGT+A6fJgoPl6UJT9O2oAJRmei/C4gNoGSkhJs3rwZ99xzT6nrvXv3xgcffKA5jJls2AC4kp0zB4iIMN2EkHEtkE9NTXUv9nf9T05OLvU+EDzjSE2djvPniwCk4sUXk9CuHTBsmAjndDpLpe39fafTGdJvmj59unszg2eeeSak32QksbFAairw1FPA//4HXHklULWqbKuszQ8/AAUF4vXnn0s1xdK88w4wYoTYnCIyEnjrLeX5CwQjnlUt+NqMR+/nt1494D//AaZMEc/gTTcB8fG6JqENffS/bOCjJ3z27FkCQAsXLix1/aWXXqKKFStqDuOLgoICysrKcv9lZmbq0hMePly0nK65JqRogkaP2YNGz0BUeqHRbrehwxFai7ws7DYxy5PoaMW9yn/a/ho3lp1r1iUzU1m6ZdbzpydmrnLIyyOKixP36NNPQ4/Pdj3hyH/3lysuLi51vaioyL2NmZYwvpgxYwamTZump7kAgOuvB95+G/jxR7FVXvPmuiehimv7N6B0z86zJ1gWKSkpfj8LtbXpasEC0QCKAKQBSILTCezdCzRsGFL0fklJSbmgh+/5Xu03y+Tzz4GiIvG6Th2gUiW59liZkhLgwAHx+p9/gLNneYtYX+zZI+6VJ0Y/f3phlJfOH4sXA3l5ogd81VW6RRsYoWu/NuBnTLhq1ao0a9asUtfGjRtHbdu2DSiMN0b1hEtKlCPTbr45pKgCxru3591S9N6owmxcdowfn/pvS9w1RptqeEtc5thVsDid4ng1/DvLnimbY8eUXp4sb5TVCbYnLHststk2nDtHVK+euD8zZ+oTpy0nZg0ePJj69etX6lq7du3o0UcfDShMWeg5MWvbNlGoAaLVq0OOTjOeguLtdtVTaAJ5EPw1DObNI4qISCVAbCc5eLB99rg1i0mTlEpy7VrZ1tiHRx9V7tumTbKt8Y/MMjlvnlJHORzifVnYsSEbCq4tZFu0ICoo0CdOy4lwXl4e7dmzh/bs2UMA6Pnnn6c9e/bQ8ePH3WE2bNhA0dHRlJSURBs2bKDHHnuM4uPjac+ePQGFKQu91wmPGqXM0DTzfFhf62GDeUDUKojExETND6NnL9zX9QcfTKXx460pgjI5c0Y5zKFXL9nW2Ivz55VZrS1ayLbGP7JFLTNTbGoSiAfKzPFYmezfr6xM+Oor/eK1nAj//PPP1KJFiwv+pnhtcfPDDz/QtddeSxdffDENHjyYNvlo3moJo4beInzyJFH16iITX39dlyg147kUJ1gRLquC8BZitYexvDy4ejJggCg7kZFiD2QmMN57T+kNv/uubGv8E8izEYwHSkvYYG2225nFgXDLLaLs9Oun7zJTy4mwlTBi7+i5c0VG1qxJdPq0btGWifd62GBFr6wKIpCHsTw8uHqxaZMiIAGMqDBetGgh7mGlSuZ6owJF67MRSM/Z6F62zEMWjCY9XXHTb9umb9wswioYIcLFxUTt24sMHTNGt2hV8bUhha8x2UDj81dBBPIwhvODqycu8YiPt7Z4WJ0tW8xtzITS+9T6bATSczbKAxXODeriYqKOHUWZGTVK//hZhFUw6jzhVauUVtWff+oatU+8z831nqwVjBvKXwXBPWH9efdde7hR7YKZbv1ge5+BPhsyn7twH1p6/XVRXmrUIDp1Sv/4WYRVMEqEiYgGDxYZO2CAsdtYGuGC8vcQ690it+PsZb1xOu0xochOmD3BLVCRClbUZHigZE8kM5rTp8XQISCGEo2ARVgFI0V4zx6iChVE5i5bpnv0bvQWMn8VRDCzo8sKG+4PuBZGjrTH0hq7YfZSLyPGeIOJP9CwZRHuDeUnnxRlpH1744aBWIRVMFKEiZSKoFUroiCOOzadsiqIxMREv98LdpZmuLu61DhyhDeZMAqnU1mpYNamJ1p6n6Ec7ylzTDgc2bFD8ZisWmVcOizCKhgtwllZRHXqiEx+/nlDktAVWa1eK44dm3EvevcWZSMqSrhQGX1ZvFjpDb/4orFpaSnDegiw2nX2LGmnpESZOzB4sLFpsQirYLQIEymTbqpUITp61LBkbI9Zs6i1VoRGV2hr1yoCMWlSSFExKrhWKsTGGueNCnWYRa1MWWWdcFnYzW29bJkoF9HRYujQSFiEVTBDhJ1Ooi5dRIY//LBhydgaM3vCofQs9OxRNGwoykS1avodHs5cyK5dRBER4l4PHap//KEKbrj0Uu3UCy8sFEOEZjWAWYRVMEOEiYjWrRMZHhFBtHmzoUnZjlArJbPG2PRsILz0ktILXrw45OgshRV7RDffrDx/Bw7oG3co5c9Kwy9aKOu3qi2VtBIvvCDKQ506YsjQaFiEVTBLhImI7rpLZPyVVxq7ZMlO6NF6NmO2qZ6u8sJC4Rp1zcgMN6zYI8rNVc5n7tzZ9OR9YsdNbLTkrdUbGMeOiaFBmLgmn0VYBTNF+OBBoooV9TsoOhzQ2oswogU+depUcjgcPitCX2PDelUqQ4cqvbK//gopKstiRZfr9OmK92H5cmlmEJF9e8JE2vLWyg2M4cNFGejSxbxhIBZhFcwUYSKiadNEAWjcWLTOGW0Y0QJ3rXt2CbGvSkVvMTlwQBmfHDIkqChsgxWFxrVS4aKL5NlgxQZKoKjlrRXz3cXmzcrzt26deemyCKtgtgjn5goBBoQgy8aK43f+0LMF7vquS4i9//sSYH92BELnzsqMzPLQCLNaj2jlSqU3nJJifvpmu+qNfL595a2VGxglJWIoEBBDg2bCIqyC2SJMRLRwoSgIFSsKF7VMrDh+p4YeLXB/FYWrR+zakETvCuybbxQBmD49oK/aAu/75Z0fCQkJEq1TuPxypSF07py5aU+dOvWCM7ZduIZV9Gz4GvV8+3rWrF6XfPaZvHqXRVgFGSJcUqJs0nD33aYl6xcrt159EWoL3Je4uuJ0OByG9f4vukjkee3ahkQvHX9ufNdrq5SpjAzFJWn0Jg2+MFus9H6+/cXnr3HhCiPTq5aXJ9cDySKsggwRJhJ7BMsYm/CHlcdxPDGiBW7Gb09JUXrB336re/SWwVtw1cbXZXL//Up+bN9ufvpmN3z1KuNW7+36IzVV7lwcFmEVZIkwkdi4w+xZempYbfzOGyNa4GZUhufOKctjLr9ct2gti2umur8hAyvMMygsVFYqtG0rx4ZAhFGPoRE9nm87zSFx4bkqZeFCOTawCKsgU4SPHjV/vZo/rN4TNqIFblar3nWkZUSEcIWWB6zeoCMieuUVpTcsq3IOdCKhlb09VuXuu0Ue9+4tb38GFmEVZIowEdGsWebu3OILO4wJG9ECN6NVv2OHUtHfd1/I0dkCO1X4jRqJvKla1XxvVKD3yfO5nDp1qurRor5OKXN5jHw931btxYbKzz8rDWCZx4SyCKsgW4Q99zB96inz07frGI9daNdOmZFph6MsQ8UODTpPfvlFaSSNG2deusHeJ1c475n8WuLV8jqccDqVmfCy9+xnEVZBtggTES1dat5pHt7YcYzHLriWogFEc+fKtsZ47Nqg69NH5JHDQXTqlPHphXqfPGfylyXk/paNucTXe6c5MzG67nnvPeucXscirIIVRNjMcy0Zc3A6hYsTEC7P8oBdG3QnTggBBoj69jU+vVDuk7cL2+WSDsT1b5XhAiMbbZ7nuM+aFaqlocMirIIVRJhIjB26KoLvvpNqilTsWpF7M26c0gv+5RfZ1jBlMWqUkl8bNsi2xjf+XM3+9j9XwyoT54wavnjqKZGXrVpZYxiIRVgFq4gwEdHo0crJOsXFsq2Rg11dmp6cOqU0qK66SrY1jBacTqLKlUWeNW0q25oL8Vf+/e1/riUu2T1ho+zZu1dZErh0qU5GhgiLsApWEuHTp4lq1hSF55VXZFsjD7tN7vGmXz9ljPHYMdnWMFr56COlN/zmm7KtKY0vD5HruUhMTHR/XtZzYtVnS8+e+U03iTwcMMA6R8ayCKtgJREmInrtNVGAqlcnOnlStjXysFprXSsbNyoV+ahRsq1hAsW1UqFSJWt7o4LxGBntZQp2KEnPZ33VKqUB/OefQUejOyzCKlhNhIuLiTp04EqcyDrjVoHQrJnIu8qVrbELGhMYf/yhNKJkL2tRIxjBM3q+hR4Ng1AaBMXFYigPEEN7VoJFWAWriTAR0erVSmtu2zbZ1sjBjj3ht95SKvAPP5RtDRMsAweKPIyMJPrnH7m22G2iYiCiqnfP3LUDWs2aYmjPSrAIq2BFESYiuvlmUaD69bPOuIZZWHXcSo3iYuHCdM3IZOxLVhZRhQoiL6+4Qq4tdpyoqLUBrWcD49Qpoho1RJ699lowVhsLi7AKVhXhffuUGX5Llsi2xjzsWOkQEQ0frvSC//hDtjVMqDz9tJKfa9bItcWOjVKzh5KeeELkVYcO1hzLZxFWwaoiTEQ0ZYooWC1aEBUUyLbGHOzmfiMSLsvISJFX110n2xpGD5xOpWdVr55sa+w1PGO2rdu3K0sCV682NKmgYRFWwcoinJ0tKgCAaOZM2dYw/ujRQ+RRVJS8QzgY/fnqK6U3/Nxzsq2xx0RFs3vtJSVE/fuLPBoyxJAkdIFFWAUrizAR0QcfiAIWH0905Ihsaxhv1qxRKuqnn5ZtDaM3HTuKvI2JIcrPl2eHHXrCMoaSlixR9t3ft0/36HUjGJ2JBGMJ7rkH6NYNyMkBnn5atjWMN3ffLf7XqAGkpcm1RRYpKSlI8/Pj09LSkJKSYq5BOvLFF0BEBFBYCDzwgBwb0tLSkJycjNTUVBQWFiI1NRXJycl+77ksnE4nUlNTkZSUVOp6UlISUlNT4XQ6dU2vsBAYN068Hj8eaN5c1+jlY2CjwFJYvSdMRPTrr8qZmBs3yraGcfH880ov+IsvZFsjD7tOptPKbbcpz9/eveambcS9teO8C18895zIl7p1xdCdleGesM254grRIyYCxowR/xm5FBQAzzwjXnfoAAwZItcemSQlJSEhIaFU78yz9wbA1r3hDz8EYmLEc3fLLeambUTv0uFw+OxJu/LM4XCEZLMZHD2qeJ7++1+gcmW59hiCgY0CS2GHnjAR0aFDRHFxouU3f75sa4zBTi30O++U1zuyIq6eGbzGLcOlN+zqdYXLkkE7Lnvy5KGHRF507WqPnel4YpYKdhFhIqLp00XBa9iQKCdHtjX6Yxe35t69QnwBoltvlW1N8Ojd6PEWYqvlW6jUrSvyvEYNe1T8ZWGHyV6+2LhRef7sckwoi7AKdhLhvDxxzBpAlJws2xpjsEML/dJLrTFjNlT0bvR4irDrT3a+6dnQ+P57pTf8zDM6GSgZOyx78qSkhKhXL5EH99wj2xrtsAirYCcRJiJatEgUwNhYoowMeXYY6Tq2cgvdtSQiXNZu69Xo8fyeK9+skHd6NzS6dxd5X6GC9ScDlYWVnzN/LFgg7n9cnBiiswsswirYTYRLSoj69BEF8Y475NlhtOvYii10p1M577luXdnWBIZao8l1MHywlbFnnntX7Fao3PX0rnjujnb99Xpbah528Dh5k5srhuIAorQ02dYEBouwCnYTYSKiLVuUiuCnn+TZYdSDbNUWelKS0gv+/nvZ1qjjLbreQunyVLiuOxyOoBs9rrT8lYeEhARdflMo6Fmmhg1TyoEdTzmzy9wLb6ZOFfe8SRMxNGcnWIRVsKMIExE98ogokJ06EZ0/L88OvQXTqi30c+eUk3W6d5dqiiZ83TfPMVtP0Qy1J+wvPbXrMtDLu1JcrKxUaN1aJ+NMxE6rEFxkZIghOEAMydkNFmEV7CrCx48TVa0qCuXbb8u1Ra/KzcoV+fXXK2fM2mUsyl+DxlNwXQIcaqPH6hW73o3FN99UesMff6yTkYxf7rhD3Os+fex5tCuLsAp2FWEiotmzRcGsXZvo7Fk5NuhZuVm1It+2TalwH3xQiglB4yt/XK9dLmgrNnr0xCjvSpMmokxUqRIeS5asyk8/KWvyt2yRbU1wsAirYGcRLiwkatNGFNAJE8xP36quY71x3eO4OGueVVoWnp4Kb1FOTEz0+R0r9F71wEjvyoYNSuNs9OhQLWV8cf68GHIDiEaMkG1N8LAIq2BnESYi+uYbZcnErl3mpWtl17GefPyxUtG+8YZsawJHbbZyuOWVL4z2riQmirLhcBCdOBFSVIwP5s0T97dqVTEEZ1dYhFWwuwgTEQ0cKArqoEHmpWlV17GeOJ3C1eiakWk3fC0d8jdZK5yF2EhOnVIOlLfAJPCw4uxZMdQGiKE3O8MirEI4iPBff4kD5QGiFStkWxM+jB6t9ILXr5dtTWB4i6u/ZUSusEY3msK50fbkk0o5scs2inZgwgRlBnphoWxrQoNFWIVwEGEiorFjRYFt25aoqEi2NfbnxAmlh3P11bKtCRyriV5CQoLq8IUV1hIHi6fHpHFj2daEB7t3K0sCly+XbU3osAirEC4ifOYMUa1aotDOmSPbGvtz9dU81qcnvtzh/lzkRmFkw2T+fKU3/OqrQUfD/MsNN4h7ed11si3RBxZhFcJFhImUtYvVqrFwhML69UqF+uSTsq0JH3ytUzZzPNroyYRt24oyU7GiPWfRW4VvvxX3MSqKaOdO2dboA4uwCuEkwufPKyf8jBwp2xr7wus/jcPllvY3SUxLbzSUHq2Ry+q2b1cabw88EHJ05ZKiIqJ27cQ9HDtWtjX6EYzORMIm5OTk4N1338XUqVPx8ccfo6ioSLZJ0nA4gDlzxOs33wS2bpVrjx157TUgI0O8fv11INI2T4I9iPRzQ9PS0pCcnAyHw1FmHA6HA8nJyUhLSws4jqSkJKSmpiI5ORkxMTFITk5GamoqkpKSAvshPmjfHrjhBvH6gw+AQ4dCjrLc8frrwM6dQK1aQHKybGskY2CjQDdOnjxJbdq0oS5dutCkSZOoXbt21LVrV8rNzdUcRzj1hF3ceqsyociOW7zJwnNP4DZtZFsTfni6oz3/vLfODCSuYHu0Rp3S5bnHeNeuukYd9pw4IYbS7LomX42wdUePHTuWWrZs6RbdkydPUo0aNei5557THEc4ivDff4sD5wGiL76QbY19ePBBe5+OYxaZmUTp6eK/VvwdHuEpxIES7Japeu8j7Y3rtB+A6LvvdI06rHnsMXHPOnaUeyiNEYStCDdp0oSmTJlS6tr9999PV1xxheY4wlGEiYieeUYU6GbNiPLzZVtjfTIzleMhzdz0xG7Mm6fcp8hI8V4LvpYoeU7OCnaJkiuOyMhITePEZmy16nQqKxXsdu60LLZuVcrVmjWyrdGfYHQmygyXdygUFhYiIyMDLVu2LHW9ZcuWWLp0qer3CgsL3e+zs7MNs1EmkycDb78N/P03ULkyEBEh2yJrU1ysvF6wQJ4dVubQIWDECKCkRLwvKQEeeQQYMABo2FD9u3369EFiYqJ77DUtLQ1FRUWIjo4Oeh6HdxzJ/w4ieo7vusaJU1NTS712hXH99/XdYImMBN57T4wPHz0KVKjAz19ZuJ6/nj2BhASpplgHAxsFunD69GkCQIu8Dpd8+eWXKSYmxu/3pk6d6nNcKtx6wkREl12muMX4T9tfpUqyc826pKf7vmeB9lz06I2qHdPoL14zNzA5eVKc+iO7PNvt7/HHdcsCSxFMTziCiEiK+mukqKgIsbGxePvttzFs2DD39bS0NMyZMwcnT570+T1fPeFGjRohKysLVapUMdxus/jmG+D664GoKGD6dNEbZvyzaRPw7rvi9auvAo89JtceK3LoENCkidITBsSM/AMHyu4Ju/DVG1W7HkwcANy9Y71mPgdKYiKwZo3oFc+aBcTGmm6CrfjxR+Czz4AqVYA9e4DatWVbpC/Z2dmoWrVqYDpjWJNAR1q0aEETJ04sdW3o0KHUu3dvzXGE45hwYaHYbxWQc8ShXbH7kYVmMG+esp2nw6F9TNhFWb3RPn36lNlbLSsO1znJes981ornZi98xKE2nE6izp3FPRs+XLY1+hO2E7MmT55MTZo0cf+ww4cPU9WqVWlOAPs2hqMIz54tCnPt2uIkEkYb27YpleeDD8q2xrpkZgoXdCCzo7US6q5WRs981gJv9hIca9eK+xYRQbRli2xr9CVsRfjs2bN02WWXUdu2bWnEiBHUpEkTuvrqq6mgoEBzHOEmwseOibM3gcB7KYyYGQ2ImZpGiAxTNsGOGZsx87ksXntNach9/LFpyYYNd94p7t1VV4XXHgdhK8JERIWFhbR48WKaPXs2LV26lM4HuMAs3ER4xAhRiDt3Dr+1dmbgudlCt26yrSm/BNqjNXpfaC3wZi+hk5Eh9t4GiD77TLY1+hHW21ZGR0fjlltuwdixYzFo0CBN296FK//7n1iWBIjtK8vxrQia+HhgyhTxesMG4PvvzU0/JSXlgu0YXaSlpSElJcVcgySRlJTknlwVHR2tOrkqJSUF6enpfidhJSQkwOl0GmkuALFcKy9PvF682PDkwpLGjYGnnhKvJ0wA8vPl2iMT24gwIyACxowR/++8E+jdW7ZF9mXqVLF3LQDce6+5aYeyL3I44b0G2F/DBBD37IcffvAZR3JyMhITEw1vvBw6BLz/vng9aBBwySWGJhfWTJwINGoEHDwIPP+8bGskYmDP3FKEizt60SLhwqlYUbh0mNBYulQZ25sxw9y0rTC2KZNgfr/se9a9uygrFSqIIQ0mNBYsUFYqhMPcjLAeEw6VcBDhvDxlRqaO+w2Ue1ybncTEmL/1pxVm+YZCsBtjhDK2K+ueff+90mBLSjIlybCnpISoVy9xT4cOlW1N6LAIqxAOIpyWJgprw4ZEARwgxZTB/v3Krke33mp++kad9GMGwYppqLtaybhndeuKMlKzpn2XJJm5m5hWfv9def5+/tn05HWFRVgFu4twZqYyI3PBAtnWhB933aWsXdy927x07d4TJjLfRSzjnv33v0ov+OuvDU/OMKwwu9wXw4aJe3v55fZt4BCxCKtidxEeOlQU0l695K+rs2JrOlQKCohiY8U97tDBnDTNEC8teaVHfpoljDLGhPPzlSNDL7vMsGRMQ/a4ui+OHiWqXFnc4/ffl2ZGyLAIq2BnEf7lF6WX9vvvsq2xbms6VJ5/Xunt6HU+sz+Bc90r76P99L6HWvJKr/w02kUsq9zddpvy/O3fb0gSpmNFD8xzz4n7XLcuUXa2bGuCg0VYBbuKsNNJ1LWrKJwPPSTbGgUrtqb1oH59ca+rV9fHLebvvvg6d9fzO3p6E7TkVaj5aUalLsMDs3u3Ml555526Ry8Vq81FKCggatlS3OvJk2VbExwswirYVYTff18UysqViY4ckW1NaazYmg6VNWuU3vCUKfrEaYUGi5a8CjY/rfD7jKJDB1EWYmPNnzlvJFZ9dr/+Wtzv6GiivXtlWxM4LMIq2FGEs7OVGZnPPSfbGt9YrTWtBz17inseFUWkV3GxQqWnJa88w2jpeYbr0AQR0ZdfKg2y55+XbY1+WLnRVFJCdM014p7fdJNsawKHRVgFO4rw5MmiMLZsKVw1RhHqWk+rtaZD5cgRcbADQHTddfrFK7PBEkxPODExsUyBDcdJekRiKKJGDVEG6teXbY1+2KHR9OefyjGa338v25rAYBFWwW4ivG+fcMkAREuWGJtWMA+mlVvTejB8uNIL+uOP0OPT2mAxQtRCGRP2FuJwy2d/PP20kv9r1si2Rj/s0mh64glx7y+5xF5nfrMIq2A3ER4yRBTC/v3NWZIUiKjaoTUdKsXFRJUqiTxo1Sq0uGTeWy0Tw3zZ5+lqdglxuHk8/JGVJYYiAKIePWRbUz45dUrxRLz6qmxrtMMirIKdRNi1PZ7DQbR9u3npyuytWZG331Z6Q8GuXZTtZdCyRMozjD9BDsexf39cd51y1vQ//8i2pvzy6qsiH2rUEKJsB1iEVbCLCBcXCxcMIFwyZiOzsrWiuDdvrsxOD2bJkpXH27WKfbiO/fvijz+Uhtfw4bKtKd/IrguDgUVYBbuIsMzWn+zK1opu7o0blUr58cfNTduMBlFZeR7uY//etGol8rpSJXuNRYYrnl7BP/+UbU3ZsAirYAcR9hwHeeUVc9O2SmVrFTs86ddPqQiOHTMnTTMbRP7E3oqNIiP54AOlwfXWW7KtYVzcdJO582NCgUVYBTuI8OjRorC1b29uK9xqla3sHrk3p04pE3Wuusr49LyXAKktFQrVRa92r604PGAUTqeyd3GzZrKtYTzZu1dZKWL1wzNYhFWwugjLXBtnxcrWahOBJkxQeknr1hmXjplLhazodZDFqFFK/m7cKNua0LHiMx0KZu2ZECoswipYWYRLSoSrBTbdJUZvvHtniYmJfsOZVZk4nUTVqok8atTIuHR8VZ6eQuy5dCghISHoitZq3g+ZHDumNID79pVtjT6EW/7aYfdAIhZhVawswnbfL1VPvCsJVw/QW4hlVCaffqr0ll5+2bRkici32zjYinbq1Kl+BTw1NdW9bKm8cNVVypi/XZbCaCHcPB2e++gfPSrbGt+wCKtgVRH2PDnkqadkWxM6objB/FUS3kIsszJp107kVcWKRIWF5qbty0UfTEUbbr2kUPj5Z6VhNW6cbGv0x2rzK0LB80S5YcNkW+MbFmEVrCrCs2bZ/wxNT0Kp4NUE3Cq7Nu3YoVTa991nXrpqlWkwFa2Zk7+sTKNGIi+rVtXn6EorYrX5FaFgtbPVvWERVsGKInz0qDIj8733ZFujH0a5waxSmbiWTEREEGVkGJ+elvsZzL1xxeNwOCzj8jeTuXOVBtXChaHFZdWJUOHUE3YxdKjIs169rLdkiUVYBSuK8LBhojBdfnn4tcL1fvitVJnk5ipLJrp0MTYtLZ6FUO6N6zsuITZj/NAKglVYKIYUADHEECpWdPGbMSYsIy8zM4ni4vRpPOkNi7AKVhPh338XPSlAuFjCEb16rlacYJKaqvSiVqwwLp2yKjnPgxhc1wJ1SXsfXWh0Q8cKgnXffUr+7dihT5xWKqdm3WNZeZmWpqxUyM01JImgYBFWwUoiXFIiXCkA0d13y7bGGPTquVqhwvbHRReJPKxdW076odwbf4Lh6hEb7fKXKVgZGUoDePBgfeO2isfGzB6qjLzMyyNq0kTkYUqKYckEDIuwClYS4YULReGJixOulXBDz4fSCq5Lf3zzjdKbSkszP/1QD4fwNwvd2zVtFLIE6/LLlSWB587pH39ZHiArl+lgkZGXn32mrFQwY26GFliEVbCKCOfmKjMyw2COxAVYuedqBF26KBW6ldxiagSyIYjR+WX2ZLtvv1UaTtOm6R+/FjEK12fE7LwsKVHWeN95pylJlgmLsApWEeGUFFFoGjcWLpVwIxxb+WocOKC4NocMkW1NcMgSBRm9p9q1RV5ddJH+cQfiAQrUW2T150qWV2PLFuX5W7vWlCRVYRFWwQoinJGhzMj87DNpZjA6c889Su9q507Z1gSOjApexjji9OlKPn3zjb5xB9OQCUS4rNx7lj0hbcQIkaedO8tfZcIirIIVRPjOO5WTeKy2vo0JnsJCothYkbcXX6xfvFbv/QSLDEHxXFbWubPu0QedV4G4cGWLnRabyrpuBMePi81WAKJ33jE8OVVYhFWQLcJr1yobPGzeLMUExkDmzFF6WYsW6ROnFSo4I5DRuLj5ZuX5O3BA9+iDIhgXrlVmX7uwSkPxhReUlQoyRxxZhFWQKcJOp2h9A0TDh5uePGMSDRuKPK5WTT+3mBV7P3bjr7+UccOhQ2VbIwglX62yc5yVKCwkat1a5PHEifLsYBFWQaYIv/OOKBxVqohj0xg5GN1qd3k79K4IrNb7sRvt24s8iY019tANreXLe4MVzzCAOKLSH95lIZTjLMON5ctFPleoQLR7txwbgtGZSDCGkp0NTJkiXk+dCtSuLdee8ozD4UBycjLS0tJKXU9LS0NycjIcDkdI8ffuLf4A4MUXgbNnQ4rOTVJSEqKjo1FUVITo6GgkJSXpE3E54PPPgT//FK9nzACio41Ly+jy5YonNTUVhYWFSE1NxQ8//GBomnZi4EDguuuA4mJgwgTZ1gSAgY0CSyGrJzxxomidtW5t/tF3ZmCVMSGteK6H9Xzv6RYMxeZjx4giI0WeX3ONHhZzTzhYnE4xNACIoQIz0OpmDtQdXVY8gcQVzuzcSRQVJfJ85Urz02d3tAoyRHj3buEaAYiWLTMtWVOx4+QhfztD6WXzyJGKW3rTptBs5THh4Jk0SckHM9eQam00BdK40rqHODfUiJ58UlmpUFRkbtoswirIEOEbbxSF4dprw3tJkh2FwiXADoeDiPS12ekkio8Xed+8efDx2LGBYxXOnFF6RL17m5euSyx9TZ7y5WUJdZKVpzh7x6XVq2M3b1ZZnD5NVKuWyPuXXzY3bRZhFcwW4ZUrRSGIitLvlBYrYyeXqctWTyHW2+b331d6YfPmBRdHuFWOZnLNNeLeR0aKc7vNwtM97Pks+Go46fHMeA6veMbleh/Isqdwauy98YbI/+rViU6eNC9dFmEVzBThoiLhCgGEa6S8YIeN670rFu8esZ60aCHKQKVKRMXFukfP+GHTJqUB9OijxqblXaZdbmGXEHq/d5VxPb1HLsF1zXPwfq8FO3qz1Dh/nqhjR1EGHn/cvHRZhFUwU4Rffllkfq1awjVSHtDSqpfd4vZX0biEOJBKSwtbtihi8MgjukbNqOBq/MTHi8rYSDzLlGcvuFmzZqXKlufkKT2fAz16wt5x2cGbpYU1axRvyNat5qTJIqyCWSJ88qRwgQBEr79uaFKWIZBWtJktbu9eiud770oqmEpLCwMGKBXBkSO6Rs344N13lYbPe++Zk6bn+t7U1FR3WYqIiCglxK71v3p6hPQYE/Yk3DYCueUWURb69jVnXg6LsApmifDjj4tM79jR+Fa4FQimVW9Wi9ufDf7cdUY0CDwnCPXqpVu0jA+Ki4XrHxC9YTPxLtOunrCnK9rM9EMZXw6XnjAR0f79RDExokx89ZXx6bEIq2CGCG/dqqwRTU83LBlLYcbG9aHgr+ftr1I0Ymx68mSld/bjj7pGzXjw6KPKfZaxP7urTHtP+DNi4p8neniXgonDCnM8tPCf/ygrFQoKjE2LRVgFo0W4pIQoMVFk9i23BP59fwV66tSppSZ0eGKlgh4IZre4ZbfwnU5liKJBA1OTLjccOaI0gAcMMD997/kFrp5wKGO0gaQbyvhyoHG46ip/M779bcspi3PniOrXF2Xjv/81Ni0WYRWMFuEvvxSZHBMjXCCBYgXXqRnImoUpe6zr88+VXtqLL0oxIazp1UtZEnjmjLlpe5bhqVOnugXYe1c2f43pUNCjNxpoHL4mo3lPTLNavfTRR8pkvcOHjUuHRVgFI0W4oEC4OgCip58OPh4112k4LB+QNTtadk/YxSWXmHOQQHnD8+CMSZPMTTvcn1l/+BNfrb/RbFe200nUvbsoIw88oGvUpWARVsFIEf7vf0Xm1qsnXB+h4E8w9BaSQB4CvR4YGWNIsnrevti9WzlS7+67TU8+bGnQQNmYQa8jJLWiNgPfu0wHU8atPO7qXScF4mmS0SBfv15prG3YoHv0RMQirIpRInz4sLJF4Ycf6hOnP9epni7VQB4CWT3YULGi3a4lExERwQ1bMKV58UWlYl28WLY1+mPFMuyJtwAHYpOMBvJ994my0qOHMUuWWIRVMEqEH3hAZGr37vq0ws3qCXvG6YpLbUKFHd1rVuxF5OYqSyY6dTI9+bCisFC49gFxZnC4YiVvji+7PN3Qgdpm9lDRP/8oy9g++UT/+FmEVTBChDdsUFrh69eHHp+M8SVfLiV/rW7vXXlkVwJ25dlnlXKzfLlsa+zL0KGKV2HXLtnWGItV5jV426M2QUurjWZPmnQ9fw0aEOXk6Bs3i7AKeotwSYlwaQBE994benz+Cq4Zs6M9H4KyWt2yZxmHC3XqiLJz0UWyLbEnBw4o4+s33yzbGnOwyrPnqhNcO4R5X3cJsRZPk4zGRX4+UbNmouwkJekbt+VEuLi4mL744gvq378/1axZkxYtWuQz3NKlS6lHjx5Uv3596tOnD/30009BhVFDbxH+5BNlc/5Dh0KPz8x1wt6TR7zXM/o7m9RqrXE78913Sm84JUW2Nfajc2dx76KjhYs/3LHSs6fXMI9MN7tryWBsrGjQ6YXlRPiFF16gwYMH04oVKwgAffTRRxeE+emnnygqKopeeOEF2r17N02ZMoViY2Ppzz//DChMWegpwjk5yozM//u/kKMzHX9ubs9et699aK04LmVnunYVZahChdBn1Zcnli9XGjDTp8u2xnjC8dmTPeGspITo6qtFGbr9dv3itZwIl3hMP/MnwgMHDqSBAweWutaxY0d66KGHAgpTFnqKcFKSyLymTYVrw454u7m9hdm7dxzMA5OZKbbvzMw0/OfYksxMxaV6442yrbEPF10k7lmdOrItMZ5QxMrKz58VJk3+8Yeyy5pe28kGozNRMJCIiIgyw6xduxbTpk0rde2aa67BkiVLAgpjFgcOALNmidcvvADExppugi5ceeWVAID09HTExMSgqKgIqamp7msJCQlYs2YN0tLSkJycjMTERCQlJZWKw/Xe6XReEP877wAjRgAlJUBkJPDWW8CwYQb/KJvRsCFw//3A++8DX38NpKQANWvKtsrafP45cOKEeP3hh3JtMQOn04nU1NSAnj3A+s9fSkqK38+8f6tRdOwIPPII8PrrwJgxwO+/Aw6HKUmXRh/9Lxv46AlnZ2cTAPrEa674rFmzKD4+XnMYXxQUFFBWVpb7LzMzU5ee8BNPiJZTz57mHI1lNGqTslwE6iLKzFRamK4/h8OaLXLZFBUppyzxn/a/WrVk55x14edPOydOEMXFiXu0ZEno8RneE54xYwZeeOEF1TBLlixBr169tDYAAAAOr+ZHVFQUSkpKNIfxZ6t371kP2rYV/3fvBrKygGrVdE/CNNLS0lBUVITo6GgUFRUhPT09qFa3N3v2iBa4J04nsHev6P0xCjt2AOfPi9cOh6SWuE1wOsUfAOTmKr08pjT8/Gnnzz+BvDxRjlq1kmREICqfm5tLJ06cUP0rKiry+V346Ak7nU6KjY2luXPnlrr+9NNPU5MmTTSH8YVRPeGiIqJ27UTLaezYkKKSipbJHsGO23BLXDutWimz7IuLZVtjfTZuVMrUY4/Jtsaa8POnjfPniS69VN+yZLmJWaUS8jMx68orr6Q77rij1LVevXrR7R5T1rSEKQs9J2Z9+63IuKgoop07Q47OdLS6nUNxT8+bJx58VwUwb57+vyMYrDAhxMX77yuV5Ntvm5as7enfX9yzyEiiY8dkW2NNrPr8WYk33xT3p3p1opMn9YnTliK8aNEiio6OpuXLl9P58+fpww8/JIfDUWodsJYwZaH3OuFBg0QGXnedLtFdgJFiEUjcoSyPyMwkWrPGWi1w2UsjXDidyp7jzZqZkmTYcOaMMo5+5ZWyrbEuVnz+rMKZM2JeAUA0Z45+8VpOhH/88UeqWbMm1axZkwBQfHw81axZk5588slS4WbPnk01atSgChUqUJ06dej999+/IC4tYdTQW4R37RLrOwFjth60ilh4pmmFjQL0wArrLh97TOkFb9xoWrJhw4QJyv1bu1a2NeGLjPOKzWDsWFF22rUTQ4x6YTkRLioq8jlufM7HzgQlJSWUnZ2tGp+WMP4wYu9oV0XQurUx58NaQSxcWGXLPL2Q2bA4dkxxFfbrZ1qyYYXTSVStmriHDRvKtiZ80aMzYKUOBZEYQnR5Ur79Vt+4LSfCVsIIET57lqh2bZGZs2frFm0prNALNdIGs1vJnun52hXMjFb5VVcpcwpOnTI8ubDl00+V3vDLL8u2JnzRozNgpQ7FwIGizNxwg/5xswirYNRRhvPmiQytWtW4SSIye6FGPzxmt5K9dwYra1cwvVm3ThGOCRMMTapccPHF4l5WrGiMN4oR6NEQt0KHwrXlaYUKRLt36x8/i7AKRonw+fPiXFiAaMQIXaMmIrkF1yyBNLuV7L1lp7+TqoygUSOl0abH+dPlnR07lEaNHqeZBYvRHh0rjKvq0RmQ2aEoLCRq08bYBjCLsApGiTAR0U8/iYyNiCDaskW/eGW7cMx88M1qbMjsCb/8siIYCxcalky546ablOdPzxNxAsHoBqvscdVw6AnPni3KSe3aYijRCFiEVTBShImI7rhDZPBVV+mznaXsh04GZrSSZY0JFxYKl6lrRiajH7m54khDgKhLF3l2mD10Y7YA23lM+Phx4X0CjF0zzSKsgtEinJEhzqYEiPwcmxwQVnA/mYnZrWSz07vvPqUXvGOHoUmVS9LSlPv7zTfy7DC6XPmK38i6IlxmRz/yiCgbnTuLIUSjYBFWwWgRJiKaOlVkdJMmRHl5hiUTdpjdSjY7vYwM5cjCm24yJAmGlJUKtWvLtcNoj05ZZ3270KNch8M64S1blOcvgP2dgoJFWAUzRDg3V6xZBETLnCkbWbOjzWyVd+kiykR0tCgjjDGsWKH0hqdNk2ODjJ6w53UrLAGyEiUlRH36iDLhtfOxIbAIq2CGCBMRzZ8vMjwujujQIUOTCgtkrhM2Iz3XPuMyhaE8IbPBI3tMWPbEJyuyaJEoD7GxwiNlNCzCKpglwiUlRL16iYy/5x5Dk2JsgMtFetFFsi0pHxw4oLgehwwxL12rzI4Ot53tQiEvj6hpU1EWzJpCE4zO8GmcOhMRAcyZI/5//DHw66+yLWJkMX06cPy4eP3BB3JtKS80aQLcc494/eWXwM6d5qTrdDr9nsWdmpqq+SzuUOL3Ph88LS0tpDTtzuzZwIED4gzlSZNkW6OCgY0CS2FWT9jFQw+JFljXruZvyiB7IgRjnWUzgRIOZcdzOdjFF8u2xhwCcYWHQx6XxaFDYkgQEEOEZsHuaBXMFuEjR4gqVxaFIMADn0LGCksCyjtDhsjfQCIYwqXseG6M8umnsq0xlkDzLFzyWI177hF536uXPvs2aIVFWAWzRZiIaOZMURDq1iUK8vCnoOHZkvL46y9lXNKO8wLCpey4VipUqxbeW4QG07MNlzz2xa+/Kg3g3383N20WYRVkiHBBAVGLFqJATJliWrJueLakHNq3V2Zk2vVQgXAoO2vXKr3hiRNlW2M9wiGPvXE6ibp1E3n+0EPmpx+MzkQQEZkx9iyb7OxsVK1aFVlZWahSpYpp6X79NTB4MBAdLSaJNG9uWtIAgJiYGPdkjcLCQnMTL4csXgzcdpt4/dJLwJgxUs0JiXAoO1ddBaxdC0RFASdOANWqybbIWoRDHnvy4YfA/fcDlSsDu3cDdeuam34wOsOzow3mhhuA/v2BoiJgwgRz0+bZkuZSUgIMHy5eN2xobwEOl7KzeDEQGQmcPw/cfrtsa6xFuOSxi3PngMmTxetnnjFfgIPGsH65xZDhjnaxfTuRwyFcJN9/b06a4TzmQ2TNGZ4TJyruz7VrTU9eN8Kt7Dz2mJIvGzfKtsYahFseE4khP0AMARYUyLGBx4RVkCnCRESjRokCcsklRMXFxqZVHmY/Wu03njlDFBUl8rh3b1OT1hWr3Vc9cDqVlQrNm8u2Rj7hmMf79ilLApcskWdHMDoTZXbPu7wybRowfz6wfTvw9tvAyJHGpaW2sN/1ud1x/Zbk5GT3+7S0NCQnJ/v87UZzxx3C5RkZCXz+ualJ60o4lp3ISGDuXOCBB4D9+4F33gGGDZNtlTw88zglJQUOhwNJSUkX5HFaWhqcTidSUlJ0S9szPW9CSW/iRDHk17+/GAK0FQY2CiyF7J4wEdErr4iWWs2aRKdOSTMjrLDCDM9NmxR358iRgX3Xim71cKVlS5FHlSoZ742yC2b3io1Ib/Vqka8Ohxj6kwm7o1WwgggXFyvLV0aPlmZG2CF7v9zmzUWexscHvh41HF2DavhqdLiu+Wp06NkQ2bJFaSw98oguUYYFZo8P65lecTFRhw4iT0eN0tvSwGERVsEKIkxEtGqV0mr780+ppuiGzN6c7J7wvHlKxR7szmjhOEnGH75+m+uav+t63odrrxV5FRkpdrVjBGY/R3ql99prIj9r1LCGd5FFWAWriDAR0eDBouBcc425W6oZhazenGzxKi4Wrk3XjMxQUKuUws1l7S/fzMjLs2eVCXQ9e+oate0x26MUanqnT4uhPUAM9VkBFmEVrCTCe/YoM/mWLpVtjSDUil62S6us60bw6KNKL3jLltDj81cpWeG36o2vRodZvbHJk5V8+/FHQ5KwHXbsCY8ZI/KwfXvrjPGzCKtgJREmInrqKVGAWra0xtaGelT0Zj7IMscWiYQrMzJS5OGAAaHHV9a9k93rNwJfjQ4zemNOJ1H16iLvGjQwLBkp2GEfaT3S+/NP8/de0AKLsApWE+HsbHGwA0A0a5ZsawR6PBwyJ0mZ2WPs1UvkXVSUWCMcClrvezCNnEAqZTPd3jJ7wkREX3yh9IZfeMGwZEwn0GfAbC+LHumVlIihPEAM7VkJFmEVrCbCRETvvScKUuXKREePyrZGEEpFKHuSlKcNRrbqf/xRqcAnTw4trkArJS2NHE8x9XU/XJ9rnQil9z2UOSbsiWtWbWwsUX6+YcmYTiDPgNnzDfRIb+lSkW/R0WJoz0qwCKtgRRF2Ookuv1wUqGHDZFuj4K+iV3uAEhMTLeMuNbox0KCByLPq1UM/Ii+QSknr7/JXCbvyyDuvtHzXKAH2vGbG7GhPdu9Wjpy86y5DkpCGFRrERlBYSNSqlcizp56Sbc2FsAirYEURJiL6+Wfl7MtNm2Rbo/7w+qsUPSt3X3HJqACMcou/+KLSC168WNeoVQlUHL0/d+WRw+EoM0+MrMBlj+V7c8styvO3f79hyUhB9vp5I3j+eXlntGuBRVgFq4owEdHddyt7DstcsqSlolfrZfmL0+wlNEaJSGGhcF3i3z3AzSJYN7H3fXAJsJZKORwrcF/k5hLFxIg87dRJtjX6EY494aNHiapUEXn17ruyrfENi7AKVhbhzEyiuDhRuBYu1Ddure7OQCp6WQ+4lt9ipDvV1ViKiBCuTLMIZRzNlwDL7AlbkRkzFO+GVZYMhoIZ8yJk8PDDIo+6dAl9GMgoWIRVsLIIExGlpooC1qiRaJ3rF682cQ20opfRUyrrt/gb69SjEtq/Xxk/vOWWoKMxFdfvdgmwy1uhdj/CtQIvC9dKhZo1rVvBa8GsyXVms2mT8vz9/LNsa/zDIqyC1UU4L4+ocWNRyFJS9I1b74pVZk9J7bcYOdOzUydlRqaejSSjKGsylpahhrKuhxOu7WQBIpkbkIVahsNtdzUiMUTXu7fIm7vvlm2NOizCKlhdhImIPv1UFLSKFYkOHtQ3br2E0wo9JbMbAcuXKxX0//2foUldwNSpUykhIcFvrzUhIcHnZCZfDRNfeSdrnbAV6dpV5HGFCkTnzsmxoTw3hPzhqhfj4sTQnZVhEVbBDiJcUkJ05ZXGLZkI1YVspQrCTHf4RReJPKlTx/CkLsB1b7Uu6yFiMQ2WzEzF5XnjjfLssEJD1yrk5ioewmnTZFtTNizCKthBhImINm9WKoK1a/WLV4/eo1UqdzN7wikpSi/4u+8MS0YVb8FVE2AmNB54QMlvmWfTlrfJcf6YNk3kRePG9hgGYhFWwS4iTEQ0fLgoeJ076zNJJJxa1mb+lnPnhGsSEK5KmXgKLwuwcRQXKysV2raVa4vsZWKyG90HD4qhOUC4pO0Ai7AKdhLhY8eU9XDvvBNaXFZyIbsI9uE2+7fceKOyJMkKY1GuSrk8rN+VyauvKr3h+fPl2GCFnrDsuuOuu0QeXHmlfY58ZRFWwU4iTKTsDFOnDlEoJstuzfpLN5iH28zfsn27UhHff79u0QYN94TNxTUOWaWK+UuWQvX26PmcyPKirVunNIA3bzY0KV1hEVbBbiLsuUfqpEmyrdEfq7vI27ZVZqrLPmqSx4TN55dflEbY2LHmpatH71PvHqzZvXKnU2zIAYgNOuwEi7AKdhNhIqJly5QlE2bu0GQWVnC5+WLhQqUCfvVVubYEMzua0YeEBFEGHA6iU6fMSVOvXqzejVwzx6fffVfxQljldDmtsAirYEcRLikhuvZa+UsmjET25BNvnE6iqlWVGZlm410Je64T9q6E/a0TZvThxAnl4Hg/W6NbGr0auWY2lrOyxBAcIIbk7AaLsAp2FGEioh07lIpA1hIZo7BiT3jsWKUX/Msv5qcvezKMWVhxroIvRo9WysNvv8m2JnD03hvA6HI4aZK4161ayR8GCgYWYRXsKsJERGPGiIJ58cViCUU4YMUx4VOnlAZPnz7SzLDkvdEbuzQ2nE5lpULTprKtCYxQG7lm59GePWJbWEAMxdkRFmEV7CzCp0+LjeUBorlzZVsTOlatgPv2VcYAT5yQYoIbvbwEVu5x2qWx8fHHSm/4jTdkW6MNPe6t2WVn8GBxjwcMsM+SJG9YhFWwswgTEb3+uiig1asTnTwp25rQsKIwbNigVLRPPGF68j7RY7zcqg0ebzusNCThi9atlf2Lre6Nsnqe++K775QG8I4dsq0JHhZhFewuwufPE3XsKArq44/Ltib8aNpU3NvKla1xlJ2e4mT1HqfVJuf5Yts2pZE2bJhsa9SxYiNXjeJiovbtxb0dM0a2NaHBIqyC3UWYiCg9XRTUyEhRKTD68OabSgX70UeyrTFGNK3a47SqXb64/nrl+Tt0SLY14cMrryhnOZ8+Ldua0GARViEcRJiI6OabRYHt29e+4yZWwnOv4NatZVtjrCvRaj1Oq/fQvcnOVvYSv+IK2daEBydPiiE2QAy52Z1gdCYKjK2YNQtYvhxYvRr4+mtg8GDZFtmbkSOBvDzxevFiubYAgNPpRGpqKpKSkkpdd713Op1BxZuWloaioiJER0ejqKgIaWlpF6ShFykpKXA4HD7jT0tLg9PphMPhQHJyMhISEtyfucInJye7rzmdTqSkpBhiZ6BUrgw89RQwfTqwfj2Qng4kJsq2yt6kpABnzgAdOgAPPyzbGkkY2CiwFOHSEyYievpp0XJs3pyooEC2Nfbln3+EaxEgGjhQtjXGYXaPU0tvvk+fPpSYmOgzbGJiIjVt2tSSvWKnU1mpUK+ebGvszbZtypLA1atlW6MP7I5WIZxE+Nw5UQEARP/9r2xr7MsVVyjbgoZBsfCJrJmyZQm/53tfr60owC6WLFHmEMycKdsae1JSQtSvn7iHN98s2xr9sKQI5+Tk0Nq1ayk9PZ1OqCy+/OOPP+jrr7+mnTt3hhTGH+EkwkREH3wgCnB8PNHhw7KtsR+uSW4A0TPPyLbGOGTOlC1r0pU/8bWyALu49FJRdmJiiPLzZVtjP1wNmZgYon37ZFujH5YT4WnTplH9+vWpV69edNVVV1FcXBw999xzpcIUFhbS4MGDqUaNGpSYmEiVK1emhx56iEo8Zh1pCVMW4SbCTidRt26iID/4oGxr7IfLk1CzpjWWJIUrZU0G8xZqtbBWYt8+ccweQHT77bKtsRcFBUQtWoh79/TTsq3RF8uJ8Ouvv07Z2dnu919++SUBoA0bNrivzZw5k2rVqkWZ/56avn37doqNjaUPP/wwoDBlEW4iTET0669Kb87jljJl8Nxzyn1bskS2NdYlM1N4DP597AJG6/IjbwG2Q0+YiOiOO5Qzb/fulW2NfZg5UxlTP3dOtjX6YjkR9kV0dDS9+eab7veXXHIJPe61+8SQIUOof//+AYUpi3AUYSKie+8VBbpHD16ypIX8fOECA8TmJ+FMKK7oefOUSWuRkeJ9IGidDObLDe26lujn6CKrbDhRnsqSXhw5IobQADGkFm5YfonSunXrUFRUhPbt2wMAzp8/j507d+KJJ54oFa5jx4544403NIfxRWFhIQoLC93vs7Oz9foZlmLGDOCLL4BffwVuvBGoVk22Rdbm44+V1198Ic8OM3AtAwJQarlQWloakpOTkZqa6vN7hw4BI0YAJSXifUkJ8MgjwIABQMOGZafrGb8rXe/lR0lJSe5wANy2uL6XmJiI9PR09O3bF6tXr9Zsu5nExgJpacCkScDWrcCgQUD16rKtsjau569lS+Cee+TaYhkCUfnt27fTokWLVP+OHz/u87unT5+mVq1a0fXXX+++dubMGQJAn332WamwL7/8MsXExGgO44upU6eWamG7/sKtJ0xE9H//p7hX+U/bX3lZXhLM8iTPSWuef2vWaEtTSw/cZYfrrGRf9iYmJgZsu9k4nUQVK8ovz3b7W7RIds4Zg+E94W3btmFxGTsatGvXDhdddFGpa9nZ2bjuuutQrVo1zJ8/3309JiYGAJDn2i3hX3JychAbG6s5jC+mTJmCcePGlbKhUaNGqrbblUmTgHr1xKJ3Rp3ly8UmCydPAvv2AS1ayLbIWDx7oNOnT0dRUZHPzUA8adUKiIxUesIA4HCI3osW1DbXcKWbkpJS5qYkq1evdvd8tdpuNh99BOTnAzExwOTJQJUqsi2yNitXAj//LLwqzL8Y2CggIqLs7Gzq0aMHdenShc6cOXPB53Xr1r2gZfvoo49Sp06dAgpTFuE6JswERkkJUf/+ojV+002yrTGPQLesnDdP2UjB4Qh8TFhPrLbdpovsbKK6dcU94vXCDFFwOhNppMDn5OTg2muvRVFREVatWoVqPgYsr7vuOnzxxRco+bfZXVBQgKVLl+K6664LKAzDaCEiAnjxRdGz++orsf1nuONry8qyGDYMOHAAWLNG/B82zHAzfRKM7WYxYwZw9KjwpowZI9saxrYY2CighIQEio+Pp7fffrvUuPGff/7pDvP3339TrVq16KabbqK33nqLEhMTqUmTJnTS49BcLWHKgnvCjCdPPCF6MJdcIu98WCM20vCO03tDjISEBMuNq/rDygc87NtHFB0tyhAvc2NcWG52dL169TBgwAB8++23pa7ffvvtuPjiiwEATZs2xebNm/Haa6/hhx9+wJVXXomFCxeiZs2a7vBawjBMIKSkAJ98AmzfDrz1FvDYY+bbEOzsZa1xAigVj+fMY1/pakXLAQ2hHrqgdYa1LCZMAIqKgP79gRtukGYGEw4Y2CiwFNwTZrxxnWNaowbRqVNybDDy7GDXzGNfcYay1taM/aitfDD9998rY+Xbt0szg7EgttisQxYswow3xcVE7duLCvWJJ+TZYcTB9kbE6St+K7qKjaS4WAxhAESjRsm2hrEawehMBBGR+f1v88nOzkbVqlWRlZWFKryOgPmX1auBfv3ERK2tW4F/R0lMJyYmxj0ByXOTGavF6YnLZeyaNBXq8iEz3Nyh8vrrYuiiRg1gzx7xn2FcBKMzhs6OZhir07cvcNNNgNMJPPmk2ErAbIyYAWzGrOKkpCR3/NHR0SGP0brGs71tdYm9w+EIKf5QOX0acP3E1FQWYEYnDOuXWwx2RzP+2LtXmen69dfmpm3kmLDRrmIj3ehWdHOPHi3KSPv28mbUM9aGx4RVYBFm1HjqKVHBtmwpjlozAyMmOJkxacpXfHrGb/R4djD8+aeyecmqVbKtYawKi7AKLMKMGp67H3kdeW0YZqwT1iNOX/EYLfRW2iWrpITommtE2Rg8WLY1jJXhiVkq8MQspizefx948EGgcmUx6aZOHdkWWROjJ1DpPeErVJYtE2uBo6OBP//Uvoc2U/4ISmcMaxJYDO4JM2XhdBJdfrno8QwbJtua8onVxoQLC8UQBSCGLBhGDcvtmMUwdiIyEnj5ZaBnT+Ddd4GRI4EuXWRbVX6w4i5ZL78M7N0L1K0L/Oc/pibNlBNYhBnGgx49gLvvBubPF5vyr10rDn1gjMfpdJZ5vKGZHDsmliIBwLPPimEKhtEbHhNmGC8OHQLatAHy8oAFC4A775Rt0YXYYWMLu/Pww8A77whvyIYNwlPCMGrwZh0MowMNG4oD2gFg4kQhxlZDj40tUlJS/G7ikZaWVq5FfPNmMSQBCJc0CzBjFFy0GMYHEyYAjRuLXvGsWbKtuZCkpCSkpqaWEmJfY6pqWH2HKlkQiaEIIjE00bOnbIuYsMawaWIWg2dHM4Hy2WdiVmzFikQZGbKt8U2oG1tYbTayNzJOU1q4UOR7XBxRZqbu0TNhDG/WoQKLMBMoJSVEV10lKuQ775RtjX9C3djCijtUuTBrBzAXublEjRqJPJ82TdeomXIAi7AKLMJMMGzeTBQRISrln36Sbc2F6CWgwQi5Wb1UM3vrKSkirxs3FoLMMIHAIqwCizATLMOHi4q5c2exoYdV0EucghVyM3upZvTWDx4UQw8A0aef6h49Uw5gEVaBRZgJlmPHiKpUEZXzO+/ItkaglwCGKuRm9lKN3k/6rrtEHl95pRiKYJhAYRFWgUWYCYUXXhAVdO3aRFYoQnq4gvUWciN7qUansXatyN+ICDEEwTDBwCKsAoswEwqFhUStW4uKeuJE2dbog55jukb2Uo3ubTudYqgBIHr4YV2iZMopLMIqsAgzobJsmaioK1Qg2r1btjXWwcheqhnjzu+8I/K1ShWio0dDjo4pxwSjM7xZB8NoZOBA4NprgeJiYPx42dZYA88NQgoLCy/YQCRU1PaTTk1NDXk/6exs4OmnxevkZD6+kpGAgY0CS8E9YUYPduwgiooSPaeVK2VbIxez1/AawaRJIi9btRJDDgwTCnyUIcMYTLt2wKhRwEsvAWPHAv/7H1Chgmyr5GC1U48CZc8e4MUXxesXXwSio+Xaw5RP+BQlhgmQM2eA1q2BkyfF5v5PPCHbIiYYBg8Gvv5aDDF88w0fWcmEDp+ixDAmUL06MH26eJ2cLMSYCR4ZpzmtWiUE2OEAZs9mAWbkwSLMMEHw8MNAx47A2bPA1KmyrbE3Zp/mdP488OST4vWoUWKIgWGkYdgItcXgiVmM3qSni0k9kZFEW7fKtsbemLnz1ty5It9q1iQ6fVr36JlyTDA6w2PCDBMCt94KfP45kJgIfP89uzVDwdXzjY6ORlFRkeZzkQPh1CmgVSsxrv/668Cjj+oaPVPOCUZnWIQZJgT+/lu4MwsLgS+/BG66SbZF9iYmJgZFRUWIjo5GYWGh7vGPGgW8+qoYSti8WYwJM4xe8MQshjGZZs2ACRPE6/HjgYICufZ4TnLynvDkOcnJqAlPoZCWluYW4KKiIt02/HCxfTvwxhvi9UsvsQAz1oBFmGFCZPJkoF49YP9+UbnLxHOSk+drz0lORk14CgWjd94iEpOxnE7g5puBq6/WJVqGCR2DxqctB0/MYozkww/FZJ9KlYgOH5Zri2tSU0JCAiUmJhIA9yQn12eJiYkBHdBgJGbsvPXVVyJ/YmKI9u0LOTqG8QnvmMUwkhg6VIw1/vab2Iv4vffk2eKazJScnFzq+vTp01FUVITExESkp6cjISFBgnUXYvTOW4WFwLhx4vX48UDz5iFFxzC6whOzGEYnfvsNuOIK8XrDBqBrV7n2uCY5AcJN7XQ63f+NmHlsVWbOVIYMdu8G4uNlW8SEKzwxi2Ek0r07cN994vXo0WIcUhaek5wApTfpdDqRmJhYbgT46FFld7P//pcFmLEeLMIMoyMzZgCVKgHr1wPz58uxwXOS0zPPPFPqM4fDgfT0dN1nHluVp58GcnKAbt2Ae+6RbQ3DXAiLMMPoSP36yvm0Tz0F5Oaam76nAANiXDgxMdH9uasnrOfMY6uycaMyNj9nDhDJtR1jQbhYMozOjBsHNG0K/POPGI80E8/xXpfgpqenIzU1FampqUhISEB6ejoSExMtf9RgKBABY8aI1/feq4zVM4zVYBFmGJ2JjQVeeEG8njULOHDAvLRTUlLc470u17NLlJOSkrBmzRqkpqYiPT3dUuuE9WbBAuDXX8XQwIwZsq1hGP/wEiWGMYAhQ8SGEGvWAJMmAZ99Zr4NRi/9sSq5uWIoAACmTAEaNJBrD8OowUuUGMYgtm4FOnUCSkqAH34A+vSRbVH5YOpUIDVVDAns2AFUrCjbIqa8wEuUGMZCdOwIjBghXo8ZI7ZMZIwlIwN47jnx+vnnWYAZ68MizDAGkpoKVKsG/PEH8O67sq0JfyZNEodoJCSIPaIZxuqwCDOMgVx0EeA6rOg//wHOnpVpTXjz009i7D0yUhykwWc7M3aARZhhDOaxx4C2bYETJ4AwX5orDadTnJIEAMOHA5deKtUchtEMizDDGEyFCsoRhy+/DOzaJdWcsOS994AtW4CqVbmhw9gLFmGGMYEBA4DrrwfOn1dO9GH0IStL2aUsJUUMATCMXWARZhiTmD0biIoCvvkGWLFCtjXhQ1qacPW3bQs8/rhsaxgmMFiEGcYkWrdWtlIcOxYoLpZrTziwe7fYFxoAXnxRuP4Zxk6wCDOMiSQlCXfprl3Aq6/Ktsb+jB8vXPzXXw9ce61saxgmcFiEGcZEqlYFnn1WvE5JEW5UJji+/RZYtky4+F17dTOM3WARZhiTefBB4LLLxIQir22dGY0UFwuXPgCMHg20aSPXHoYJFsP3jl6xYgWWLFmCkydPonXr1hg+fDiaNWtWKsyePXswd+5cZGRkoFWrVhg7diwaeO26riWMGrx3NGMlfvpJ7CUdGQls3szrWgNlzhyxLviii8S4cLVqsi1iGAvuHT1p0iS8++676Nq1K+644w7s2bMHl112GXbu3OkOs2fPHnTr1g2nTp3CnXfeib/++gvdunXD8ePHAwrDMHbiqquA228Xhzs8+aQ4/5bRxsmTyi5k//d/LMCMzSEDOXPmTKn3JSUlVLduXZo+fbr72r333ktdu3alkpISIiIqKiqixo0b06RJkwIKUxZZWVkEgLKyskL4RQyjHwcOEMXGEgFEixfLtsY+jBwp7tlllxGdPy/bGoZRCEZnDD1PuJpXEzUjIwNZWVlo4zGAs3LlSowePRoR/270WqFCBdxwww349ttvMXPmTM1hGMZuNGkiDhxITQUmTAD69gViYmRbZW22bgVef128njMHcDjk2sMwoWKoCANCeB955BHk5uZix44dmDVrFm699VYAQF5eHo4fP45GjRqV+k7Dhg1x4MABzWF8UVhYiMLCQvf77OxsfX4Qw+jIpEnidKUDB4Dq1WVbYx+aNBEufYaxOwGJ8Icffoj58+erhnnuuefQsWNH9/uaNWviySefxNmzZ7Fo0SI8++yz6NevH9q0aYOioiIAQEWvQz/j4uLcn2kJ44sZM2Zg2rRp2n8cw0igUiVg7lzgttvEeldGG64zgxnG7gQkwj169EDt2rVVwzRs2LDU+/j4eFz77yr6O+64Az169EBqaio++eQTxMfHIyoqCqdPny71nVOnTqH6v90CLWF8MWXKFIzz2KQ3Ozv7gt40w1iBm24CcnIAlTYl8y9OpziogXvBTLgQkAi3atUKrVq1CjqxiIgING3aFEeOHBGJR0Whffv22LJlS6lwW7ZswaX/rtnQEsYXMTExiOEBNsYmxMTweLBWrr5atgUMox+GLlF64403UOyxQe727duxcuVKJCYmuq/df//9+Oyzz/D3338DADZv3oyVK1fi/vvvDygMwzAMw9gNQydmHT16FM2aNUOTJk2Qn5+PXbt24cEHH8SkSZPcYZ544gn8/vvv6NChA9q3b49t27bhkUcewZ133hlQGIZhGIaxG4bvmJWbm4tt27ahQoUKaNmyJapWreoz3L59+3Dw4EG0bNnS79itljD+4B2zGIZhGCMJRmcMF2GrwCLMMAzDGInltq1kGIZhGMY/LMIMwzAMIwkWYYZhGIaRBIswwzAMw0iCRZhhGIZhJMEizDAMwzCSYBFmGIZhGEmwCDMMwzCMJFiEGYZhGEYSLMIMwzAMIwkWYYZhGIaRhKGnKFkJ1xbZ2dnZki1hGIZhwhGXvgRyJEO5EeFz584BQMCnLzEMwzBMIJw7d87viYHelJtTlEpKSnD48GFUrlwZERERqmGzs7PRqFEjZGZmltsTl8r7PSjvvx/ge1Defz/A9wAI7B4QEc6dO4f69esjMlLbaG+56QlHRkaiYcOGAX2nSpUq5bbguSjv96C8/36A70F5//0A3wNA+z3Q2gN2wROzGIZhGEYSLMIMwzAMIwkWYR/ExMRg6tSpiImJkW2KNMr7PSjvvx/ge1Defz/A9wAw/h6Um4lZDMMwDGM1uCfMMAzDMJJgEWYYhmEYSbAIMwzDMIwkys06YTWOHDmCLVu2IC4uDp07d/a5FuzcuXNYt24diAi9evXyuRZMSxgrUlBQgC1btuDMmTNo3749mjRp4jPcrl27sHPnTtSvXx9du3b1uemJljBW5eeff0ZmZiZuuOEGVKpU6YLPi4uL8fPPPyMrKwuXX345GjRoEFQYO3D06FFs2LAB8fHx6NWrV9hNzNmxYwe2bt2K3r17+9w/gIiwadMmZGZmom3btmjXrl1QYazKvn37sHPnTtSuXRudO3dGVNSFUpCTk4N169bB6XSiV69eqFatWlBhrAgRYdu2bThw4AAaNWqETp06+Qy3Z88e/Pnnn6hbty66devmcwMOLWHKMqbcUlRURPfddx81adKEBg0aRJdffjlVqVKF5s+fXyrcjz/+SDVq1KAuXbpQt27dqFq1avT9998HHMaKvP3229SkSRO64oor6LrrrqNKlSrR8OHDqaSkpFS4UaNGUXx8PPXv35/q1KlDCQkJlJOTE3AYK7Jw4UK6+OKLqWXLlgSA/v777wvCZGRkUOvWralFixZ09dVXU8WKFWnu3LkBh7ED77zzDsXFxVGfPn2odevW1LRpU9qzZ49ss3Thl19+cf8uALRo0aILwuTl5VH//v2pdu3adM0111DlypUveCa0hLEie/fupauvvppatmxJgwYNohYtWlCrVq1o+/btpcKtW7eOatasSZ07d6bu3btT1apVaeXKlQGHsSKbNm2iTp06UefOnenGG2+kevXq0aWXXkr//PNPqXDjx4+nSpUqUf/+/alevXrUs2dPysrKCjhMWZRrEc7NzaVFixaVenCSk5MpLi6OiouLiUgIdaNGjejxxx93hxkzZgzVrVuX8vPzNYexKp988gkdP37c/X7btm0UExNDH3zwgfval19+SVFRUbR582YiIjpx4gQ1bNiQJk+eHFAYq/LRRx/R9u3bae3atX5F+Prrr6fevXtTUVGR+zsOh4P++uuvgMJYnQMHDlB0dDS9/fbbRER0/vx56tu3LyUkJEi2TB++/fZbSk9Pp/z8fL8iPHXqVKpfvz4dPXqUiIj++OMPio6OpoULFwYUxops2bKF1qxZ435fXFxMAwcOpK5du5a61qRJE3rkkUfc18aPH0+1a9em3NxczWGsyrp160o1KvPy8qhNmzY0YsQI97UVK1ZQZGQkrV+/noiITp8+Tc2aNaMnn3wyoDBaKNci7ItPPvmEoqKi3AVp1apVBID27dvnDpORkUEAaNmyZZrD2IkOHTrQ2LFj3e9vueUW6t+/f6kwTz/9NDVs2DCgMFbHnwifPHmSIiMj6dNPP3VfczqdVLduXUpJSdEcxg7MmjWLqlev7m6EEhF9/fXXBIAyMzMlWqYvaiLcokULmjhxYqlrAwcOpEGDBgUUxi68+eabFB0d7e6MrFmzhgDQrl273GEOHTpEERER9NVXX2kOYyf69+9Pd911l/v90KFD6corrywVJjU1lWrVqhVQGC3wxCwAGzduxIIFCzBz5kw888wzmD17NuLi4gAA27ZtQ8WKFdG8eXN3+MaNG6Nq1arYtm2b5jB24dChQ9i1axcuueQS97Vt27aVeg8AHTp0wKFDh3D27FnNYezKjh07UFJSUur3RUZGon379u781RLGDmzbtg1t27YtNUbYoUMHAMD27dtlmWUaeXl52Ldvn8+y7MpHLWHsxPfff4/27du7529s27YN0dHRaN26tTtMgwYNUKNGjVJ1XllhrM5nn32GDz/8EI888ggOHDiApKQk92f+6rOTJ0/i6NGjmsNoIewmZn3++ecoLi72+3n16tUxYMCAUte2bNmC77//Hnv27EFcXBzatm3r/iwrKws1atS4IJ6aNWu6xUVLGLPIyMjAr7/+qhqma9euaNGixQXXi4qKMHToULRp0wZDhw51X/f1+2rWrAkAOHv2LKpVq6YpjFmkp6fj+PHjqmHuuOMOzZPGsrKyAMDn7zt16pTmMHagrHwMd1znwfq6B67fryWMXfj444/x+eef45tvvnFfy8rKQvXq1S8I613nlRXG6ixZsgTnzp3Dxo0bkZCQgIsuusj9WVnPQd26dTWF0ULYifDSpUtRUFDg9/OmTZteIMIjRozAiBEjAACzZ8/G4MGDsXfvXtSvXx8xMTHIycm5IJ6cnBzExsYCgKYwZpGZmYmvvvpKNUytWrUuEOHz58/jzjvvxMGDB/Hjjz+Wmg3r6/e53qvdA+8wZrFu3Trs2LFDNcztt9+uWYRd98LX7/P8/WWFsQMxMTEXVKKy8lEG5Smvly1bhmHDhmHu3Lml6kS71XnB8sknnwAA8vPzcfXVV2PYsGFYsmQJAHPrvLAT4ffffz+k7997770YP348fv/9d9x4441o0aIFsrKykJWV5V5ylJubi1OnTrndz1rCmEXv3r3Ru3fvgL5z/vx53HXXXdi8eTN++OEHNG7cuNTnLVq0wMGDB0tdy8jIQKVKlVCnTh3NYcwiOTlZ1/hcDZaDBw+iZcuW7usZGRlITEzUHMYOtGjRAhs3bix1LSMjAwBML8syqF69OqpXr+6zLLt+v5YwVmf58uW49dZb8fzzz+Oxxx4r9VmLFi2Qm5uL06dPu3t6+fn5OHHiRKk6r6wwdqFixYq45ZZbMGPGDPc1f/VZdHS0e0mbljCaCGIMO2w4duwYOZ3OUtdWrFhBANyzfE+ePEkxMTE0b948d5j333+fKlSoQEeOHNEcxqqcP3+ebrvtNmrSpInPWcFEymSd7OxsIiIqKSmhnj170q233hpQGKujNju6TZs29Oijj7rfb9++nQDQt99+G1AYq+O6B7///rv72pNPPkmNGze2/PKbQFCbmDV06FDq1q2bu27IycmhWrVq0fTp0wMKY1W++eYbio2NpTlz5vj8/PTp0xQbG0tvvPGG+9rHH39MUVFRdOjQIc1hrMrhw4cvuHbHHXdQx44d3e/nzp1L8fHxdObMGfe1q6++utTEOy1htFCuRXjFihXUtWtXmj59Or333ns0efJkqlatGj344IOlwj377LNUqVIlSktLo2effZYqV65MU6dODTiMFRk+fDg5HA6aMWMGLViwwP33yy+/uMPk5OTQxRdfTFdccQW99tprdOutt1LVqlVp586dAYWxKtu2baMFCxZQSkoKAaCXX36ZFixYQPv373eHWbFiBUVFRdHo0aNpzpw51Lx5c7r++utLxaMljB24/fbbqXHjxvTiiy/S+PHjyeFw0Oeffy7bLF34559/aMGCBfThhx8SAHryySdpwYIFtGnTJneYvXv3Uo0aNWjIkCH02muvUa9evahVq1al1n9qCWNFfvvtN4qNjaV+/fqVet4XLFhAhYWF7nDPPfccxcXFUWpqKs2YMYOqVKlC//nPf0rFpSWMFbnvvvvo7rvvpldeeYXeeOMNuuWWWyg2NrZUYzk/P58uvfRSuvzyy+nVV1+lu+66i+Lj42nr1q0BhdFCuT9Fac+ePZg/fz4yMjJQt25dXHfddbjyyisvCLds2TJ8/fXXICJcf/31uOmmm4IKYzUmT56MAwcOXHC9Z8+eGD16tPt9dnY2XnvtNfduWCNGjECzZs1KfUdLGCuyePFiLF68+ILrI0eORJ8+fdzvN23ahA8//BBZWVno0aMHHnroIVSoUKHUd7SEsTpOpxMffPAB1q5di/j4eAwdOhRXXHGFbLN0YcuWLZg5c+YF1wcMGIAHH3zQ/f7gwYN48803cejQIbRp0waPPfbYBZMLtYSxGmvWrMGbb77p87O3334blStXdr//5ptvsGTJEpSUlGDgwIEYMmTIBd/REsaKLFmyBOnp6SgoKEDLli1x7733XjCRKicnB6+//jq2b9+OunXrYvjw4aWGmrSGKYtyL8IMwzAMIwteJ8wwDMMwkmARZhiGYRhJsAgzDMMwjCRYhBmGYRhGEizCDMMwDCMJFmGGYRiGkQSLMMMwDMNIgkWYYRiGYSTBIswwDMMwkmARZhiGYRhJsAgzDMMwjCRYhBmGYRhGEv8PNCTm/X9gs+4AAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = sls.grid.show()\n", "ax = fig.get_axes()\n", "# Convert CUDA tensor to numpy for plotting\n", "ut_loc_np = sls.ut_loc.cpu().numpy() if hasattr(sls.ut_loc, 'cpu') else sls.ut_loc\n", "ax[0].plot(ut_loc_np[0, :, 0], ut_loc_np[0, :, 1],\n", " 'xk', label='user position')\n", "ax[0].legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We observe that:\n", "\n", "- The base stations are placed on a hexagonal spiral grid with the defined\n", " number of rings;\n", "- The inter-site distance depends on the chosen 3GPP scenario;\n", "- Users are dropped uniformly at random within each sector, within the maximum\n", " distance from the respective base station. \n", "\n", "**Remark**: Hand-over procedures are **not**\n", "implemented in this notebook; users simply attach to the nearest base station. \n", "As a result, user located near the cell edge may experience high interference. \n", "To mitigate this, the parameter `max_bs_ut_dist` can be adjusted to limit the\n", "maximum distance between a user and its serving base station." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Layer-2 parameters\n", "\n", "Next, we define the parameters associated with the link\n", "adaptation and power control modules, such as:\n", "- BLER target, typically set to 10%;\n", "- `olla_delta_up`, which determines how quickly outer-loop link\n", " adaptation (OLLA) adjusts the MCS index to the varying channel conditions;\n", "- `(alpha_ul,p0_dbm_ul)`, defining the\n", " pathloss compensation factor and the target received power at the base\n", " station, respectively, in open-loop uplink power control;\n", "\n", "as well as the number of slots to simulate." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:32.687176Z", "iopub.status.busy": "2026-08-06T22:10:32.687035Z", "iopub.status.idle": "2026-08-06T22:10:32.690180Z", "shell.execute_reply": "2026-08-06T22:10:32.689269Z" } }, "outputs": [], "source": [ "# N. slots to simulate\n", "num_slots = 1000\n", "\n", "# Link Adaptation\n", "# Note: bler_target and olla_delta_up must be Python floats (not tensors)\n", "# to avoid graph breaks in torch.compile\n", "bler_target = 0.1 # Must be in [0, 1]\n", "olla_delta_up = 2\n", "\n", "# Uplink power control parameters\n", "# Pathloss compensation factor\n", "alpha_ul = 1.0 # Must be in [0, 1]\n", "# Target received power at the base station\n", "p0_dbm_ul = -80.0 # [dBm]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Simulation\n", "\n", "We are now finally ready to run system-level simulations on the defined 3GPP\n", "multicell scenario!" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:10:32.692417Z", "iopub.status.busy": "2026-08-06T22:10:32.692204Z", "iopub.status.idle": "2026-08-06T22:13:51.101446Z", "shell.execute_reply": "2026-08-06T22:13:51.100307Z" } }, "outputs": [], "source": [ "# System-level simulations\n", "hist = sls(num_slots,\n", " alpha_ul,\n", " p0_dbm_ul,\n", " bler_target,\n", " olla_delta_up)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Performance metric analysis\n", "\n", "In this last section, we extract insights from simulations by analyzing the output data\n", "at the user granularity. \n", "\n", "First, we average the relevant metrics across slots:" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:13:51.103875Z", "iopub.status.busy": "2026-08-06T22:13:51.103732Z", "iopub.status.idle": "2026-08-06T22:13:51.123676Z", "shell.execute_reply": "2026-08-06T22:13:51.122756Z" } }, "outputs": [], "source": [ "hist = clean_hist(hist)\n", "\n", "# Average across slots and store in dictionary\n", "results_avg = {\n", " 'TBLER': (1 - np.nanmean(hist['harq'], axis=0)).flatten(),\n", " 'MCS': np.nanmean(hist['mcs_index'], axis=0).flatten(),\n", " '# decoded bits / slot': np.nanmean(hist['num_decoded_bits'], axis=0).flatten(),\n", " 'Effective SINR [dB]': 10*np.log10(np.nanmean(hist['sinr_eff'], axis=0).flatten()),\n", " 'OLLA offset': np.nanmean(hist['olla_offset'], axis=0).flatten(),\n", " 'TX power [dBm]': 10*np.log10(np.nanmean(hist['tx_power'], axis=0).flatten()) + 30,\n", " 'Pathloss [dB]': 10*np.log10(np.nanmean(hist['pathloss_serving_cell'], axis=0).flatten()),\n", " '# allocated REs / slot': np.nanmean(hist['num_allocated_re'], axis=0).flatten(),\n", " 'PF metric': np.nanmean(hist['pf_metric'], axis=0).flatten()\n", "}\n", "metrics = list(results_avg.keys())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### A bird's eye view\n", "\n", "We now visualize the cumulative density function (CDF) of the selected\n", "metrics, averaged across slots and computed per user, including:\n", "- Transport block error rate (TBLER): Indicates how well link adaptation maintained it near the target value.\n", "- MCS index;\n", "- Number of decoded bits per slot;\n", "- Effective SINR: Measures the channel quality for each user;\n", "- Outer-loop link adaptation (OLLA) offset: Reflects the extent to which OLLA corrected the SINR estimation;\n", "- Transmit power;\n", "- Pathloss from the serving cell;\n", "- Number of allocated resource elements (RE);\n", "- Proportional fairness (PF) metric: A lower value indicates a fairer resource allocation across users.\n" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:13:51.125764Z", "iopub.status.busy": "2026-08-06T22:13:51.125627Z", "iopub.status.idle": "2026-08-06T22:13:51.527079Z", "shell.execute_reply": "2026-08-06T22:13:51.526237Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def get_cdf(values):\n", " \"\"\"\n", " Computes the Cumulative Distribution Function (CDF) of the input\n", " \"\"\"\n", " values = np.array(values).flatten()\n", " n = len(values)\n", " sorted_val = np.sort(values)\n", " cumulative_prob = np.arange(1, n+1) / n\n", " return sorted_val, cumulative_prob\n", "\n", "\n", "fig, axs = plt.subplots(3, 3, figsize=(8, 6.5))\n", "fig.suptitle('Per-user performance metrics', y=.99)\n", "\n", "# Convert bler_target to scalar if it's a tensor\n", "bler_target_val = bler_target.item() if hasattr(bler_target, 'item') else float(bler_target)\n", "\n", "for ii in range(3):\n", " for jj in range(3):\n", " ax = axs[ii, jj]\n", " metric = metrics[3*ii+jj]\n", " ax.plot(*get_cdf(results_avg[metric]))\n", " if metric == 'TBLER':\n", " # Visualize BLER target\n", " ax.plot([bler_target_val]*2, [0, 1], '--k', label='target')\n", " ax.legend()\n", " if metric == 'TX power [dBm]':\n", " # Avoid plotting artifacts\n", " ax.set_xlim(ax.get_xlim()[0]-.5, ax.get_xlim()[1]+.5)\n", " ax.set_xlabel(metric)\n", " ax.grid()\n", " ax.set_ylabel('CDF')\n", "\n", "fig.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We note that:\n", "\n", "- For simulations in the downlink (`direction = downlink`), the transmit power per user remains constant and equals the\n", " base station's maximum transmit power. \n", " This occurs because in the `SionnaSYS`\n", " block we chose, for simplicity, to feed the scheduler with a uniform\n", " achievable rate across subcarriers, resulting in only one user being scheduled\n", " per slot; \n", "- For uplink (`direction = uplink`), power varies significantly across users to compensate for the pathloss\n", " through the open-loop procedure. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### MCS, SINR, and throughput\n", "\n", "We next investigate the pairwise relationship among Modulation and Coding\n", "Scheme (MCS), effective SINR, and throughput." ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:13:51.529500Z", "iopub.status.busy": "2026-08-06T22:13:51.529359Z", "iopub.status.idle": "2026-08-06T22:13:51.845172Z", "shell.execute_reply": "2026-08-06T22:13:51.844174Z" } }, "outputs": [ { "data": { "image/png": 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AyclJM1fVysoKffr0KfK57733HpycnKBWqzF06NBXJmcRERH4+OOP9YpPEATNHPfatWuXyTSF0r72vHnzYGxsjCNHjuDIkSMlamvkyJGoW7cu1Go1vv76a4PElycv4TU1NdXaYCXPgwcPsHr1aoNeE8hdRjPvoeIFCxborFOShzotLCwAGG4aSHHkTV36888/dT5P8OTJE/z4449adfPUr18fxsbGAIC///5b57lr1qzRed28z/f69et1Pnh55coVbN++XY+e6O/rr7/W+Z+pNWvW4P79+5BIJFp/D5Wkv8bGxpr/QIr5fhNVJkzIiUrJ0aNHIQgCkpOT9drx0draGlu2bIGlpSXu3bsHHx8fzJo1C+fOnUNycjKysrLw4MEDbN++HcOGDUOLFi0QERGhOT8xMRFNmjTBe++9hx07diAyMhKPHz/WnLdr1y50794dBw8eBABMnjwZRkbafxXY2NhAIpFg9uzZevXZENcuLnd3d82Ds6/aqfJVTE1NNdNq1q1bp3O6QXHvUfPmzWFiYoLk5GQEBQXhypUryMzMxN27d7F69Wq0atWqVHY5NTY21oz8//bbb/jggw9w+/ZtqFQq3LhxA++8806JksZGjRoBAI4dO4YTJ04Ue6S9JEaNGgU3NzcIgoC+ffti48aNSE5ORkZGBg4ePIguXbrg4cOHsLS0xMyZM7XOtbCwQNeuXQHk/lzu3r0bKSkpSEhIwNatW9G6desCH7IdPXo0nJyckJWVBX9/f+zduxfp6elQKBTYsWMHAgICirULqj7u3bsHf39/nDlzBkqlEo8fP8YPP/yg+TkeMWKEZgWbkvYX+O/9/umnn5CYmFjo/HYiKgIRllokqjR0rY1dFAWtQ/6iiIiIAnczfPHL19dXiIqK0pyXkJDwynPyvkaPHi2oVKp8187bcXDWrFl69auk19Z3HfKX3bp1SzAxMdFcozg7deZJSkoSrKysCrwPxb1HgiAIn376aYH3xdLSUpg8ebLO9Z8F4b/1uAvbEbF79+4CAGHZsmVa5Wq1Whg9enSB1+7bt6/eO3XmUSgUgr29vc52X96pszixF+VcQRCEqKgowcHBocA+WlhYCHv37tV57sWLFwULCwud51lbWwvvvvtuge/LmTNnND8vL3+ZmZlpdvFt1aqV1nkvriWed59elrfefs2aNQs8d+rUqQX2uUWLFsKzZ88M2t+lS5fqPI87dRIVD0fIicopLy8vREREYMuWLQgMDISLiwvkcjlkMhnq16+PESNG4M8//8T58+e1loKzt7fH1atX8dNPP2HIkCHw9vZG7dq1YWJiArlcjqZNm+Ktt97CkSNHsG7dunxzuFNTUzU7arZq1UqvmEt67ZJycXHBW2+9ZZC2rK2tNfP5ly9fjuTkZM2xktwjIHfKyNq1a9G6dWtUq1YNZmZmcHFxwcSJExEVFVWsNotCIpFg7dq1WLNmDdq0aQNzc3PI5XK0aNEC33zzDXbs2KGZxqAvCwsLHDlyBMOGDUPdunXL/LmEPB4eHoiIiMDnn38Ob29vWFhYwMzMDK6urpg8eTIiIyMREBCg89zmzZvj9OnTeP3111GzZk1IpVI4Ojpi7NixiIyMLHBpQQBo06YNLl26hDFjxqBOnTqQSqWoU6cOgoKCEB4ertl519raulT6PWvWLPz555/o3r07qlevDlNTUzRq1Ahz587FiRMnUL16dYP2d+rUqfjuu+/g4+Ojma5ERMUnEQT+nomI/rNv3z4EBATAw8MDkZGRfIBLB94j0tfbb7+NNWvWYMqUKVi2bJlB2kxKStIk2gkJCWX6LAgRGRZHyIlIy9GjRwHkrlbCRFM33iPSx82bN7F582YA/+26SUT0Io6QE5GWDh064OnTp7hy5YrBHrisbHiP6GU7duzAnj17MHz4cDRu3Bj29vZ48uQJ9u3bh48//hgPHz5E48aNERUVZbDpPBwhJ6o8mJATERGV0KZNmxAYGFjgcTs7Oxw4cADe3t4GuyYTcqLKg0M7REREJTRo0CCsXr0avXv3houLC8zMzCCXy+Ht7Y05c+YgIiLCoMk4EVUuHCEnIiIiIhIRR8iJiIiIiETEhJyIiIiISERMyImIiIiIRMSEnIiIiIhIREzIiYiIiIhExISciIiIiEhETMiJiIiIiETEhJyIiIiISERMyImIiIiIRMSEnIiIiIhIREzIiYiIiIhExISciIiIiEhETMiJiIiIiETEhJyIiIiISERMyImIiIiIRMSEnIiIiIhIREzIiYiIiIhExISciIiIiEhETMiJiIiIiETEhJyIiIiISERMyImIiIiIRMSEnIiIiIhIREzIiYiIiIhExISciIiIiEhETMiJiIiIiETEhJyIiIiISERMyImIiIiIRMSEnIiIiIhIREzIiYiIiIhEZCJ2AGVBrVYjPj4elpaWkEgkYodDpBdBEJCamoq6devCyIj/hyYiIqpsqkRCHh8fD0dHR7HDICqR2NhYODg4iB0GERERGViVSMgtLS0B5CY0VlZWhdZVqVQ4cOAA/P39IZVKyyK8MlcV+ghUnn6mpKTA0dFR83NMRERElUuVSMjzpqlYWVkVKSE3NzeHlZVVhU7iClMV+ghUvn5yuhUREVHlxAmpREREREQiYkJORERERCQiJuRERERERCJiQk5EREREJCIm5EREREREIqoSq6xUVK+PGInEZ0laZXY1bLB90/oStTvqrbEIGvo6/AcORZZKZbB2iYiIiEh/TMjLscRnSei3eK1W2a5Zb5a43UfPkwEAAfNXQG1kYrB2iYiIiEh/nLJCRERERCQiJuRERERERCJiQk5EREREJCIm5EREREREImJCTkREREQkIibkREREREQiYkJORERERCQiJuRERERERCJiQk5EREREJCIm5EREREREImJCTkREREQkIpOiVmzZsqVeDV+4cEHvYIiIiIiIqpoiJ+RhYWFYtGhRkerOmTOn2AEREREREVUlRU7IAWD27NlFqseEnIiIiIioaIo8hzw2NrbIjepTl4iIiIioKityQu7g4FDkRvWpS0RERERUlek1ZaUgqampyMnJgY2NjSGao0Lcu3sHHfz75Cu3q2GD7ZvWixAREREREZWEXgm5SqXCl19+iUuXLqFnz54YP348xo8fj99++w2CIKBLly7YsmULbG1tSyveKs/IRIp+i9fmK981600RoiEiIiKiktJrHfKPP/4YS5cuRVpaGmbPno0333wTp0+fxsqVK7Fq1So8fPgQn376aWnFSkRERERU6eg1Qr5lyxb8+eef8PPzw7Fjx9C5c2dcunQJzZo1AwD4+vpiwIABpRIoEREREVFlpFdCHh8fj7Zt2wKA5k8PDw/NcS8vL8THx+sdREJCAm7dugUvLy9YW1trHbt16xYSEhK0yiwsLNCiRQu9r0NEREREVN7olZBnZ2fD1NQUADR/mpj814SJiQlycnKK3N6FCxfw5Zdf4tixY3j8+DGOHDmCLl26aNVZsmQJQkND4e7urilzcXHBunXr9AmdiIiIiKhc0nuVlX379hX6Wh9RUVEYPnw4lixZAhcXlwLrdenSBaGhocW+DhERERFReaV3Qh4QEFDoa32MGTMGABAXF1dovczMTISHh8Pa2hoNGjSAkZFez6ISEREREZVbeiXkL8/lLiv79+/H/fv38fDhQ8hkMvzyyy947bXXCqyvVCqhVCo1r1NSUgDkLtuoUqkKvVbe8VfVKwumUimM1NlaZWYyWb6yvLpFjdlUKgUArXb0Ob+iKE/vZUlU9PiJiIiocBJBEASxg4iLi4Ojo6POOeR//PEHOnTogNq1ayMnJwdz5szBTz/9hIiICLi6uups74svvsC8efPylW/YsAHm5ual0QWiUpOeno6goCAkJyfDyspK7HCIiIjIwIqckN+8ebPIjTZs2FCvIApLyF+Wk5ODmjVrYu7cuZg2bZrOOrpGyB0dHfHkyZNXJjQqlQoHDx5Ez549If13JFks/gOHImD+Cq2yX8f2x9hf/8xX96/PJ+LAjq1Farfv0CBMfmsUYur6Qm1kovf5FUV5ei9LIiUlBbVq1WJCTkREVEkVecqKm5tbkRstzUF3Y2Nj1KxZEw8ePCiwjkwmg0wmy1culUqLnJjpU7e0ZKlUmoQ5T6ZSma8sr25R4836dwqE2shE05Y+51c05eG9LImKHDsRERG9WpGfjoyNjdV8LV++HI6OjlizZg2ioqIQFRWFNWvWwNHREStWrHh1Y0UkCAIyMjK0ymJiYnDv3j14enoa7DpERERERGIp8gi5g4OD5vsVK1Zg27ZtaNWqlabMw8MDTZs2xfjx4zFhwoQitfno0SPcuHEDjx8/BgBERkbCxMQETk5OcHJygkqlgq+vL8aOHQsPDw/cv38fCxcuhI+PDwIDA4saOhERERFRuVWs9QNv3Lihc564m5sbbty4UeR2wsLCMHv2bCxduhQdOnTA5s2bMXv2bBw6dAhA7uZDhw8fxpMnT/Ddd9/hyJEj+Oijj3Dy5EmdU1KIiIiIiCoavdchB3J3yvzqq6+wcOFCSCQSALnTS7766iu9HugMCAh45TrmderUwcKFC4sTJhERERFRuVeshPzHH39Ev379sHXrVvj6+kIQBISHh+PRo0fYvXu3oWMkIiIiIqq0ijVlpUuXLrh9+zbeeecdmJqaQiaT4Z133sHt27fh5+dn6BiJiIiIiCqtYo2QA4CtrS3mzJljyFiIiIiIiKqcIo+Qjxo1qsiN6lOXiIiIiKgqK3JCvn79+iI3qk9dIiIiIqKqTK8pK3krqhARERERkWEUOSE/ePBgacZBRERERFQlFTkh79GjR2nGQURERERUJRVr2UMiIiIiIjIMJuRERERERCJiQk5EREREJCIm5EREREREIir2Tp26JCYmYt68efj5558N2WyV8PqIkUh8lqRVFp+QUGbXv3f3Djr499Eqs6thg+2buKY8ERERUWnSOyG/ceMGDh8+DKVSif79+8PFxQUZGRn46quv8PXXX8PW1rY04qz0Ep8lod/itVplP4/sXmbXNzKR5rv+rllvltn1iYiIiKoqvRLy/fv3Y8CAAcjKygIAfPzxx/jzzz8xY8YMPHjwAAsWLMDkyZNLJVAiIiIiospIrznkX3zxBcaPH4+0tDQoFAq89dZb6Nu3LxwcHHDjxg1MnToVpqampRUrEREREVGlo1dCfuXKFXzxxReoVq0azM3NsWDBAiiVSvzyyy+oUaNGacVIRERERFRp6ZWQp6SkaCXeed87ODgYNioiIiIioipC74c69+3b98qy3r17Fz8iIiIiIqIqRO+EPCAg4JVlgiAUPyIiIiIioipEr4Q8oQzXxSYiIiIiqgr0Ssjt7e1LKw4qh3RtFgQADx/Ewr6eo1aZrk2EdG12VFBdIiIioqpKr4R8zJgxRaoXHBxcjFCovNG1WRCQu2FRUTYR0rXZUUF1iYiIiKoqvRLyJ0+eFHhMrVbjyJEjyMzMZEJORERERFREeiXku3fv1ln+119/YdasWTA2NsZnn31mkMCIiIiIiKoCvdYhf9n58+fRrVs39O/fHx07dsStW7cwf/58Q8VGRERERFTpFSshv3nzJoYPH442bdqgZs2auHLlCn7++WfY2dkZOj4iIiIiokpNr4T80aNHeO+999C0aVM8fvwYZ8+exdatW+Hm5lZa8RERERERVWp6zSF3dXVFdnY2pk6ditdeew1paWn4559/8tXr0qWLgcIjIiIiIqrc9ErIFQoFAGDJkiVYsmRJgfW4UycRERERUdFwp04qc7o2HOJmQURERFRVcadOKnO6NhziZkFERERUVemVkO/bt69I9Xr37l2sYIiIiIiIqhq9EvKAgIAi1eMcciIiIiKioikXc8hv3LiBGzduoF27dqhZs6bOOpGRkUhMTETTpk1Rt27dUomDiIiIiKisiTqH/Pjx45g3bx6uX7+OuLg4HDlyJN+SiQqFAgMGDMDly5fh5uaGS5cu4ZNPPsGnn35q0FiIiIiIiMSgV0IOAEqlEjKZTPP6yZMnWLZsGZ4/f47+/fujR48eRW4rPj4es2bNgru7O5ycnHTW+eyzz3Dnzh1cv34dNWvWxMGDB+Hv7w8/Pz/4+fnpGz4RERERUbmi106dhw8fRr9+/TSvlUolOnbsiK+//hp79+5Fr169sGvXriK3N3z4cPTs2RMSiUTncUEQEBISgrFjx2qmsvTs2RM+Pj5Yt26dPqETEREREZVLeo2QL126FDNnztS83rlzJ+7fv4/IyEi4urpi4cKF+Prrr7WS9pJ48OABnj59imbNmmmVN2/eHJcvXy7wPKVSCaVSqXmdkpICAFCpVFCpVIVeM+/4q+oZmqlUCiN1tlaZmUxWpLK884sas6lUCgBa7ehzLV3luq6vq0/6nF9SYr2XhlbR4yciIqLCSQQ9lkSpVasWbt26BWtrawDAxIkTkZiYiD/++AMA8OjRI3h6euLRo0d6BREXFwdHR8d8c8ijoqLg5eWFU6dOoV27dpryjz76CH/88QdiYmJ0tvfFF19g3rx5+co3bNgAc3NzvWIjElt6ejqCgoKQnJwMKysrscMhIiIiA9NrhDwnJ0drtO7MmTMIDAzUvDY3N0dGRobBgjM1NQWQm5C8KD09XXNMlzlz5mD69Oma1ykpKXB0dIS/v/8rExqVSoWDBw+iZ8+ekP47kmxI/gOHImD+inzlv47tj7G//lmsMgD46/OJOLBja5GuFfLuEPxvzkzE1PWF2shE72uVNFZd5briL6nSfi/LSt5veIiIiKhy0ish9/LywvLly/HZZ58hLCwMERERWL16teb4jRs34O7ubrDgnJycYGxsjLi4OK3y2NhYNGjQoMDzZDKZ1oOneaRSaZETM33q6iNLpdIkwS/KVCrzlRe1LK/dl+Mt6FpKZRYAQG1kojmuz7VKGquucl3xG0ppvZdlpSLHTkRERK+m10Odn332GRYsWIC6deuiffv26NatG3x9fTXHN27ciKCgIIMFZ2Zmhs6dO2P79u2asqSkJBw+fJi7gRIRERFRpaDXCHnPnj1x7tw57NmzBzVq1MCYMWO0jtetWxfvvPNOkduLi4vDpUuX8PTpUwDA6dOnoVAo0KhRIzRq1AgAsGjRIvj5+WHSpElo164dVqxYAWdnZ72uQ0RERERUXum9Dnnz5s3RvHlzncemTZumV1vXr1/HihW5c5z79OmDkydP4uTJkwgKCtIk5K1bt8a5c+ewYsUK7Ny5E/7+/pg6dSqqVaumb+hEREREROWO3gm5IXXv3h3du3d/ZT1vb2/8/PPPZRAREREREVHZ0msOORERERERGRYTciIiIiIiETEhJyIiIiISUbHnkCuVSpw4cQK3b9/GuHHjAORudV+vXj2DBUdFd+/uHXTw76NVFp+QIFI0RERERFRUxUrI79y5g4CAAMTHxyM1NVWTkE+bNg2BgYEYNGiQQYOkVzMykaLf4rVaZT+PfPUDs0REREQkrmJNWZk2bRp69uyJ58+fa5XPmDEDixcvNkhgRERERERVQbFGyI8fP46YmBgYGxtrlXt4eODSpUuGiIuIiIiIqEoo1gh5VlYW1Go1AEAikWjKY2NjIZfLDRMZEREREVEVUKyEvFu3bli2bBmA/xLylJQUTJ8+HT179jRcdERERERElVyxpqwsXboUfn5+2LNnDwRBQL9+/XD69GmYmZnh5MmTho6RiIiIiKjSKlZC3rBhQ0RFRWH16tVwdXWFWq3GjBkzMH78eNSsWdPQMRIRERERVVrFSshPnz6Ndu3aYebMmYaOh4iIiIioSilWQt6hQwe4uLhg5MiRGDVqFNzc3AwdF1UxujY2evggFvb1HPPVtathg+2b1pdVaERERESlqtgbA23YsAHr16/H/Pnz0bp1a4waNQojRoyAra2toWOkKqCgjY1eLgOAXbPeLKuwiIiIiEpdsVZZqV+/PubMmYOoqChcunQJnTt3xldffYW6deuiT58+r26AiIiIiIgAFHOE/EXNmjWDt7c3+vbti/fffx979+41RFxERERERFVCsUbI80RHR+Pjjz9GgwYN0K1bN9SuXRtr1+afYkBERERERLoVa4R8yZIlWL9+PS5fvgxfX1988MEHCAwMhL29vaHjIyIiIiKq1IqVkK9YsQJBQUHYvHkzGjdubOiYiIiIiIiqjGIl5Ldu3TJ0HEREREREVVKRE/K4uDgAgIODg+b7gjg4OJQsKiIiIiKiKqLICbmjY+4GLYIgaL4viCAIJYuKiIiIiKiKKHJCfvXqVZ3fExERERFR8RU5IXd3d9d8P3v2bOzYsUNnvYEDBxZ4jIiIiIiItBVrHfKdO3fqLFer1di1a1eJAiIiIiIiqkr0WmXl4cOHOr8HcpPxkydPok6dOoaJjIiIiIioCtArIX8x2daVeJuYmOCbb74peVRERERERFWEXgl5ZGQkAMDLy0vzfR6pVIp69epBLpcbLjoiIiIiokpOr4Tc09MTAJCQkAB7e/tSCYiIiIiIqCop1kOdlpaWOldS2bFjB9LS0koaExERERFRlaHXCHmeWbNmoUmTJvnK4+LiMGfOHPzwww8lDqwyeH3ESCQ+S9Iqi09IECcYIiIiIiqXipWQb968GdeuXctXPmLECHh6ejIh/1fisyT0W7xWq+znkd1FioaIiIiIyqNiTVlRqVRISUnJV56SkoKMjIwSB0VEREREVFUUKyHv2rUrPv74YyiVSk1ZZmYmZs+eja5duxosOCIiIiKiyq5YU1a++uordOrUCQ0aNEDr1q0hCALOnz8PtVqN48ePGzTA06dP4/r161pl1atXx4ABAwx6HSIiIiIiMRQrIXdzc0NkZCR+/fVXhIeHQyKR4L333sO4ceNQq1Ytgwa4du1a7Nu3D126dNGUOTg4MCEnIiIiokqhWAk5ANja2mLOnDmGjKVALVu2RHBwcJlci4iIiIioLBVrDjkAKJVKHD58GKtWrdKUPXjwwCBBvezp06fYsmUL9u/fj8ePH5fKNYiIiIiIxFCsEfI7d+4gICAA8fHxSE1Nxbhx4wAA06ZNQ2BgIAYNGmTQIK9fv45NmzbhwYMHiI6OxtKlSzFhwoQC6yuVSq0HTvNWhFGpVFCpVIVeK+/4q+oVhalUCiN1tlaZmUyWr6yg8qKW6VtXJjMFAK1jpXGt0jrfVCot0vtjyPdSTBU9fiIiIiqcRBAEQd+TBg4cCEdHR3z33XcwMTFBXhNnz57FBx98gDNnzhgswJMnT6JVq1YwNc1NIpcvX4733nsPFy5cQPPmzXWe88UXX2DevHn5yjds2ABzc3ODxUZUFtLT0xEUFITk5GRYWVmJHQ4REREZWLES8po1ayImJgY1atSARCLRJOQKhQK1atVCZmamwQN9ka2tLWbMmIHZs2frPK5rhNzR0RFPnjx5ZUKjUqlw8OBB9OzZE1KptERx+g8cioD5K7TKfh3bH2N//TNfXV3lRS3Tt27Iu0PwvzkzEVPXF2ojk1K7Vmmd/9fnE3Fgx9Z85S8z5HspppSUFNSqVYsJORERUSVVrCkrWVlZUKvVAACJRKIpj42NhVwuN0xkhTA3N8fTp08LPC6TySCTyfKVS6XSIidm+tQtSJZKpUl482QqlfnKCiovapm+dZXKLACA2shEc7w0rlVa52epVHq9N4Z4L8VUkWMnIiKiVyvWQ53dunXDsmXLAPyXkKekpGD69Ono2bOnwYJTq9X5HhQ9e/YsYmNj0bZtW4Ndh4iIiIhILMUaIV+6dCn8/PywZ88eCIKAfv364fTp0zAzM8PJkycNFlxOTg569uyJLl26wMPDA/fv38eKFSswePBggz84SkREREQkhmKNkDds2BBRUVEYPnw4hg4dCjMzM8yYMQOXL19G/fr1DRacVCpFeHg4WrZsiWvXrkEmkyE0NBRbt26FkVGxV2wkIiIiIio3ijxC/t1332Hq1KkAgLi4ODg4OGDmzJmlFZeGmZkZ3n777VK/DhERERGRGIo8zDxt2jTN946OjqUSDBERERFRVVPkhLxOnTo4dOgQMjIyAACZmZkFfhERERERUdEUecrKRx99hF69emmWO6xWrVqBdYuxtDkRERERUZVU5IR86tSpCAwMxJ07d9CuXTscP368NOMqF14fMRKJz5K0yuxq2GD7pvXiBEQAgHt376CDfx+tMr4vREREVFEVOSHv0aMHDh06BDs7OwBAx44dSy2o8iLxWRL6LV6rVbZr1psiRUN5jEykfF+IiIio0ijyHPKjR48iOzu7NGMhIiIiIqpyijxC7u7ujlmzZml2yAwNDS2w7pAhQ0oeGRERERFRFVDkhHzFihWYMWMG1q7NnSowduzYAusyISciIiIiKpoiJ+QdOnTAmTNnAAASiQRJSUmlFRMRERERUZVRrP3nY2JiDB0HEREREVGVpFdC/vvvvwMAGjZsCAC4efNmvjr/+9//DBAWEREREVHVoFdCPnr0aK3Xbm5u+ep89tlnJYuIiIiIiKgKKfIccqLyTNdmQQ61ayFo6OsiRURERERUNEzIqVLQtVnQ/k8LXgmIiIiIqLwo1kOdRERERERkGHqPkO/bt6/Q10REREREVHR6J+QBAQGFviYiIiIioqLTKyFPSEgorTiIiIiIiKokvRJye3v70oqDiIiIiKhK4kOdREREREQiYkJORERERCQirkP+r9dHjETisySYSqWYOv4t+A8cingdc+Z1bUADAA8fxMK+nqNWma7zqXzKe/9fZFfDBts3rRcnICIiIqoymJD/K/FZEvotXgsjdTYQdxYB81fgx9G98tXTtQENAPw8snu+8p9Hdi+1eMmw8t7/F+2a9aZI0RAREVFVwikrREREREQiYkJORERERCQiJuRERERERCJiQk5EREREJCIm5EREREREImJCTkREREQkIibkREREREQi4jrkVGnF3r8HAPAfOBRZKpWmvKSbOOnaREhXm4DuzYW4CRERERG9iAk5VVpGJlIAQMD8FVAb/fejXtJNnHRtIqSrTUD35kLchIiIiIhexCkrREREREQiYkJORERERCSiCjFlJT09HXv27EFiYiK8vLzQuXNnsUMiIiIiIjKIcj9CnpCQgGbNmuH//u//EBYWhqFDh2LUqFFih0VEREREZBDlfoR81qxZsLS0xOnTpyGTyRAVFYVmzZphyJAhGDhwoNjhERERERGVSLkeIc/JycH27dvx5ptvQiaTAQA8PT3RsWNHbNmyReToiIiIiIhKrlyPkMfGxiItLQ2NGzfWKnd3d8e5c+cKPE+pVEKpVGpeJycnAwCePXsG1QvrUb/ICEBWynMYqbORnp6OrJTnkJqYICvluVY9XWUFlZfH8wHAxNhI08e85QDLY6wlPV9XP/U53wjA06dP810/72elKLHqakPX+QVdCwBSU1MBAIIg6DxOREREFZtEKMf/ykdGRsLb2xunT59G27ZtNeWzZs3Ctm3bcPPmTZ3nffHFF5g3b15ZhUlUJmJjY+Hg4CB2GERERGRg5XqE3NzcHACQkpKiVZ6cnAwLC4sCz5szZw6mT5+uea1Wq/Hs2TPUrFkTEomk0GumpKTA0dERsbGxsLKyKkH05VdV6CNQefopCAJSU1NRt25dsUMhIiKiUlCuE/L69etDJpPh1q1bWuW3bt2Cm5tbgefJZDLNnPM8NjY2el3bysqqQidxRVEV+ghUjn5aW1uLHQIRERGVknL9UKeJiQn69OmD9evXQ61WAwDu3r2Lo0ePYtCgQSJHR0RERERUcuV6hBwAvvrqK7Rv3x7+/v5o3bo1Nm3ahK5du2LEiBFih0ZEREREVGLleoQcAFxdXREVFYX+/ftDIpFg4cKF2Lt3L4yNjUvlejKZDHPnzs035aUyqQp9BKpOP4mIiKhiK9errBARERERVXblfoSciIiIiKgyY0JORERERCQiJuRERERERCIq96uslLXMzEz88ccfePDgASZPnqzZnOhFT58+xd69e5Gamor27dujefPmZR9oMT1+/Bh79+5FWloaOnXqBC8vL7FDKrG0tDRs27YNjx49wrRp03Q+8JuYmIi//voLGRkZ6Ny5M5o2bSpCpERERET5cYT8Bd9++y1cXV3xww8/YObMmfl2CAWAS5cuoXHjxvj1119x+vRpdOrUCQsWLBAhWv2dP38ejRo1wtq1a3Hy5Em0bdsWX331ldhhlciCBQvg5uaGn376CTNnzoRKpcpX5+TJk2jUqBE2bNiAY8eOoWXLlvj+++9FiJaIiIgoP66y8oK9e/eiTZs2uHjxInr27ImEhATY29tr1WndujUcHR2xbds2AMAff/yBIUOGIDIystyPujZr1gweHh7YsGEDAGDjxo0YPXo0rl27hoYNG4ocXfH8+eef6Ny5Mw4ePIihQ4ciIyMDZmZmWnXc3d3Rvn17/PbbbwCANWvWYMKECbh58yacnJzECJuIiIhIgyPkL3jttddQs2bNAo/fu3cP58+fx/jx4zVlAwcORO3atREaGloWIRbb9evXERERgQkTJmjKhg4dCmtra2zfvl3EyEqmf//+hW4rf/nyZVy/fl2r3yNHjoSZmRl27NhRBhESERERFY4JuR6uXr0KAGjcuLGmTCKRoFGjRppj5ZWu2E1MTNCwYcNyH3tJ6Oq3qakpGjRoUKn7TURERBVHpX6oc8OGDYiPjy/wuJGREaZPn17k9lJTUwEANjY2WuU2NjaaY+VVRY69JPL69vIoemXvNxEREVUclTohf/r0KR4+fFjgcV2rcRQmb8WVlJQUrcQ2OTkZdnZ2xYqxrLwY+4tzrJOTk/PNk69M8vqdmpoKKysrTXlycjLc3d3FCouIiIhIo1In5O+9955B28ub9nDr1i2thwFv376Njh07GvRahvZi7LVr1wYAqNVq3LlzB3379hUztFL1Yr9btGgBAMjOzsb9+/cxatQoMUMjIiIiAsA55Hpp2LAhPDw8sG7dOk3Z4cOHERsbi4EDB4oXWBF4enqiYcOGWrH/9ddfePz4MQYMGCBiZKXLx8cHjo6OWv3euXMnkpOT0b9/fxEjIyIiIspVqUfI9XX8+HGcPXsWMTExAIDly5fD0tIS/fr104y0/vzzz+jduzfS09Ph5OSENWvW4N1330XLli3FDL1Ili9fjr59+yI5ORl16tTBb7/9hunTp1fozYEOHTqES5cuITIyEgDw3XffwcTEBEOGDIGzszOMjIywYsUKDBo0CE+fPkWtWrWwevVqzJkzB40aNRI5eiIiIiKuQ65l7969+Pvvv/OVjxo1Sms3zjt37mDr1q1ITU1Fhw4d0Lt37zKMsmRu3ryJ0NBQpKenw8/PDz169BA7pBLZtm0bTp8+na983LhxWiurXL9+Hdu3b0dGRga6du2Krl27lmWYRERERAViQk5EREREJCLOISciIiIiEhETciIiIiIiETEhJyIiIiISERNyIiIiIiIRMSEnIiIiIhIRE3IiIiIiIhExISciIiIiEhF36ixD586dw969e5GUlISPP/4YtWrVQmhoKMLDw2FpaYlPPvmk1K69fPlyODo6om/fvqV2jfJo0aJFSExM1HxfrVo1nfVWr16NGjVqYNCgQXq1v3r1as0uodOmTUP9+vVLFjARERFVOUzIDSA4OBiXLl3KV+7s7IypU6cCAC5evIhOnTphxowZcHZ2hlQqxaJFi7Bq1SpMmjQJdnZ2Bovnxx9/hIuLC1577TVN2bZt29CyZctST8ivX7+OvXv34vHjx2jYsCEGDBiAmjVrao4HBwdDpVJh3LhxmteXLl3CmDFjtHZDvXbtGlasWIGvvvoKpqamWvfY1NQUDg4OGDBgwCsT4LVr18LT0xMdO3aEkVHBvxDatWsXnJ2dNQn5i9eTSCSoUaMGWrVqhV69ekEikWjOq127NurWrYtZs2ZhxIgRTMiJiIhIb5yyYgC7d+/GwYMH4ezsrPVVp04dTZ2DBw/Cx8cHCxcuxNSpU1G9enXs378f48aNw6xZszBmzBiDxRMaGopTp05plU2ePBn9+vUz2DV0+fnnn9GiRQtERETA0tISZ8+eRevWrbFr1y5Nnd27d2Pnzp1ar7///nu89957Wm3dvXsX33//PbKysjT18u6xra0tDh8+jEaNGuHQoUOvjKtLly6YOnUqZDJZkfvy4vXq16+P1NRUjBo1CqNGjdKq169fP0yePLnI7RIRERG9jCPkBtKgQQPNaPjLfvnlF2zbtg0PHjzQqnP16lUAwOPHj9GjRw/N6PXDhw+xefNmPHz4EK6urhgxYgTkcrlWm4mJidi6dSvi4+PRokULDB48GEZGRggODsbNmzeRkZEBhUIBAJg3bx4SExNhamoKANizZw+uXbuGGTNmaLW5adMmJCUlYeLEiUWOI092djZmzpyJBQsWaLWblpaG+Pj4Qu+dr68vzp07h127dhX6n4YX7/HMmTPRrVs3zJ8/Hz169Ci0fV0uXLiAHTt2oHr16ujdu/crrwcAzZo1w6hRo/Djjz+ievXqel+TiIiISBeOkJcBOzs7WFtbw8zMTGsE3dTUFNWrV4ezs7MmwTt16hQ8PT0RFhYGS0tL/PHHH/D09MSjR4807R0/fhyNGjXCrl27UK1aNYSGhmpG2G1tbWFmZgZra2vNdYyNjbFt2zacOHECACCXyzFr1izN3GoAEAQBM2fORHp6epHjeFFqairS09O1fisAABYWFnBzcyv0/jg7O2PSpEmYPXs2cnJyinxfvby8cPfu3SLXz7N9+3a0a9cODx8+xPPnz9G3b1+cO3fulecpFArIZDLNf2yIiIiIDIEj5AZy5cqVfCPknTt3xqBBgzBw4EBcuHABWVlZWnWCg4PRqVMnTZlarcYbb7yBefPm4d1339XU69u3L/73v//hhx9+QE5ODt544w2MGDECv/zyi6bOrVu3AAB9+vTBkiVL0Lp16wJH7P38/FCvXj1s2rQJH3zwAQDg6NGjSEhIQGBgYJHieFn16tU1U0Nu3ryJLl26oGXLljA3Ny/S/fv000+xZs0aBAcH45133nllfbVajVOnTqFJkyZFaj9PdnY2ZsyYgc8++wyff/45ACAwMBBeXl756r74niYkJCAsLAyrVq2ChYWFXtckIiIiKgwTcgOpVq0anJ2dtcpq1KihVxvR0dG4desWLl26hA8//BCCIEAQBDx//hwXLlwAAERGRuLu3buYMmWK1rmurq5Fvo5EIkFgYCDWr1+vScjXr1+Pbt26oU6dOoiMjHxlHLrs3r0b3377Lf744w/Mnz8fJiYm6Nu3L77//nvUq1ev0Jhq1aqFjz76CHPnzkVQUJDOOnkJskqlwqlTp5Ceno61a9cWud8AcPPmTdy9e1frGh4eHmjRokW+ui++p5aWlggPD8exY8cwcuTIQh8QJSIiItIHE3IDKWwOeVHlTQdxdnbWGoV1cnJCrVq1AABPnz4FgHxTQ/Q1atQoLF68GDExMXByckJoaCi+//77Isehi4WFBT799FN8+umnSE9Px/79+zFlyhQEBgbi2LFjr4xp2rRp+Omnn/D9999rrbiSJy9BzszMhFQqRfXq1WFvb69Xv/Om6dja2mqV165dO1/dl9/T8ePHo379+ujRoweGDx+u13WJiIiICsKEvBzJS7I7d+6Mjh07Flrn7t27BSbHLy7LVxBPT094e3tj/fr1aNasGbKysvD6668XOY5XMTc3x6BBg3Dv3j3MmDEDKpUKUqn0lefMnTsXs2bNwk8//ZTv+IsJ8rRp09CqVStMnDgRW7ZsKXJceSP1Dx48gLW1taY8Li4OjRs3LvRcR0dH2NjYICIiggk5ERERGQx/716ONGnSBN7e3pg3bx6USqWmPCkpCWfOnNHU8fT0xJdffqn1AOTp06c139vY2CA5OfmV1xs5ciTWr1+P9evXY8CAAZoVVIoSx8vS09OxZ88eCIKgVR4WFgZHR8dXJuN53nnnHdjb2+PLL78stJ5MJsMPP/yArVu34uTJk0VqGwBcXFzg4eGB5cuXa8qOHTuGqKioV54bHR2N58+fw93dvcjXIyIiInoVjpAbiK6HOq2srDB//vwityGRSLB582b07dsXnp6e8PPzw5MnTxAdHY2lS5dq6mzcuBEBAQFo3rw52rRpg6ioKHTo0AHt2rUDALz22mv48MMPoVQqYW5ujnnz5um8XlBQEObMmYPbt29rrRVelDh0xf7LL79g6tSpaNGiBapXr44LFy7g9u3b2Lx5c5HvgYmJCRYuXIjBgwe/sm6XLl0QEBCAjz76qMhJuZGREZYtW4Y+ffrg6tWrsLe3x/Hjx3XOwX/xPX327Bn+/PNP9O/fv8A57kRERETFIRFeHtIkve3ZswcxMTH5yi0sLDQ7Up4+fRoPHjzAkCFDNMfXr1+PJk2awMfHR+s8lUqFw4cP486dO3BwcICfn5/W9AoAyMjIwP79+/Ho0SP4+PigZcuWWsfPnDmDiIgIpKenY+zYsThw4ADs7OzQoUMHrXrr1q3D8+fP8e6778LERPv/Z0WJ42V3797F+fPn8fz5c9SrVw9dunTRmoe+Z88e5OTkoH///prXQO7qMC/65ZdfkJGRgXfffRdSqTTfeXlu3ryJ3bt344033tD5EK27uzvq1KmDZs2aYdGiRahWrRoAIDY2Fvv374eNjQ06deqEc+fOwcrKCp07d9bE9eJ7amNjA09Pz3z3efXq1QgPD8fPP/+M06dPo23btoXeHyIiIqKXMSGnSm3dunV49uwZAGDSpEl67dZZFLt27dIsOTlixAi9HzIlIiIiYkJORERERCQiPtRJRERERCQiJuRERERERCJiQk5EREREJCIm5EREREREImJCTkREREQkIibkREREREQiYkJORERERCQiJuRERERERCJiQk5EREREJCIm5EREREREImJCTkREREQkIibkREREREQiYkJORERERCQiJuRERERERCIyETsAIqq4Hjx4gISEBDRr1gxSqVTr2I0bN5CSkqJVVr16dbi6uuZrJy4uDsnJyWjUqFG+doiIiCo7iSAIgthBlDa1Wo34+HhYWlpCIpGIHQ6RXgRBQGpqKurWrQsjo/LxS61//vkHS5cuxfHjx5GcnIzY2Fg4ODho1enRoweio6NRr149TVmXLl3w9ddfa14/f/4cQ4YMwZkzZ1CjRg1kZmYiODgYffr0KVIc/GxTRVceP99EVPaqxAh5fHw8HB0dxQ6DqER0Jb1iOXPmDMaNG4epU6eiR48eBdZ788038eWXXxZ4/N1338WTJ0+QkJAAKysrLFy4EMOHD0dMTAzq1Knzyjj42abKojx9vomo7FWJhNzS0hJA7l94VlZWhdZVqVQ4cOAA/P39K+2vzqtCH4HK08+UlBQ4Ojpqfo7Lg9mzZwPIHSkvTEZGBqKiomBnZwdbW1utY8nJydi6dStWr16t+VzOmDEDixcvxsaNGzF9+vRXxqHPZ7uyqyw/7+VBWd7L8vj5JqKyVyUS8rxfZVtZWRUpITc3N4eVlVWl/UetKvQRqHz9rIhTMn7++Wfs378fcXFxaNy4MVavXo3mzZsDACIiIpCdnY1WrVpp6stkMjRr1gzh4eFFal+fz3ZlV9l+3sUkxr2siJ9vIjKcKpGQE1HZGzVqFEJDQ2FjYwOFQoE333wT/fv3R3R0NCwtLfH06VMAQM2aNbXOq1WrlubYy5RKJZRKpeZ13kOjKpUKKpWqlHpSMeT1v6rfB0Moy3vJ94uIACbkRFRKxowZo/leLpdj2bJlqFevHo4ePYq+fftqRh5fTLCB3GkuBY1KLlq0CPPmzctXfuDAAZibmxsu+Ars4MGDYodQaZTFvUxPTy/1axBR+ceEnEhECoUCIRs2IjwiGj7eHhgdFAi5XC52WKXCzs4OxsbGiIuLAwA4OTkByP9gZnx8PDp16qSzjTlz5mjNLc+bf+vv788pKyoVDh48iJ49e3LKSgmV5b18eWlQIqqamJATiUShUGDI6DFo0GMwXIZORkRUGIaMHoPQkOAKn5RnZWXBxMREaxm3f/75Bzk5OWjSpAkAwMPDA/b29tizZw/atGkDALh37x4iIyPxxRdf6GxXJpNBJpPlK5dKpUxC/8V7YThlcS/5XhERwIScSDQhGzaiQY/B8PDrBQCaP0M2bMSk8ePEDO2V4uPjER8fj+vXrwPIfUDz4cOHcHFxQY0aNXDv3j2MHj0aEyZMgKurK65cuYIvvvgCffr0QefOnQEARkZGWLBgAaZMmQI7Ozs0aNAAc+fORevWrdG/f38xu0dERFSmmJATiSQ8IhouQydrlTl5+uJi6HKRIiq6nTt3YvXq1QAAX19ffP755wCABQsWICAgAG5ubvj111/x448/Ijg4GPb29vjyyy/xxhtvaLUzduxYWFlZYe3atUhJSUHXrl3x8ccfw9jY2GCxvj5iJBKfJeUrt6thg+2b1hvsOkRERMXFhJxIJD7eHoiICtOMjAPA/agwtPBqKmJURTNp0iRMmjSp0Dqenp5YsWLFK9saNmwYhg0bZqjQ8kl8loR+i9fmK981681SuyYREZE+mJATiWR0UCCGjB4DIHdk/H5UGO4c2oYlIcGixkVERERly+jVVYioNMjlcoSGBMNbqsCd0OXwlioqxQOdREREpB+OkBOJSC6Xl/sHOImIiKh0cYSciIiIiEhETMiJiIiIiETEhJyIiIiISERMyImIiIiIRMSEnIiIiIhIREzIiYiIiIhExISciIiIiEhETMiJiIiIiEQk6sZA2dnZ2LZtG06dOgUTExN07NgRAwcOhEQi0ap369Yt/Pbbb0hMTISXlxfGjx+PatWqiRQ1EREREZHhiDZCrlar0bRpU+zYsQOurq6wtbXFpEmTMGLECK16ERERaNGiBW7fvg0vLy/89ttv6Ny5M7KyskSKnIiIiIjIcEQbIZdIJDhw4ACcnZ01ZR06dICfnx9mzZoFHx8fAMDs2bPRrl07bNy4EQAQGBiI+vXrY+3atRg3jluOExEREVHFJtoIuUQi0UrGAcDFxQUA8OTJEwBAVlYWDh06hGHDhmnq1K5dG926dcPu3bvLLFYiIiIiotIi6hzyl/3888+wtLRE69atAQD379+HSqVC/fr1terVr18fx48fL7AdpVIJpVKpeZ2SkgIAUKlUUKlUhcaQd/xV9SqyqtBHoPL0s6LHT0RERIUrNwn5jh07sHjxYqxduxY2NjYAgIyMDACAXC7Xqmtpaak5psuiRYswb968fOUHDhyAubl5keI5ePBgESOvuKpCH4GK38/09HSxQyAiIqJSVC4S8n379mHEiBFYunQpRo4cqSm3trYGADx//lyr/rNnzzTHdJkzZw6mT5+ueZ2SkgJHR0f4+/vDysqq0FhUKhUOHjyInj17QiqVFqc75V5V6CNQefqZ9xseIiIiqpxET8j379+PQYMGYdGiRfjggw+0jjk6OsLGxgZRUVEICAjQlEdGRsLLy6vANmUyGWQyWb5yqVRa5MRMn7oVVVXoI1Dx+1mRYyciIqJXE3VjoIMHD2LgwIFYuHAhpk2blu+4RCLBiBEjsHr1aqSmpgIATp06hXPnziEoKKiswyUiIiIiMjjRRshTU1MxYMAAWFlZISwsDKNGjdIcGzt2LLp06QIAWLhwIfz9/eHp6QkPDw8cP34c06ZNg7+/v0iRExEREREZjmgJuampKVauXKnzmKOjo+b76tWr48yZMzh58iQSExPxzTffwN3dvazCJCIiIiIqVaIl5DKZTGtUvDDGxsbw8/Mr5YiIiIiIiMqeqHPIiYiIiIiqOibkREREREQiYkJORERERCQiJuRERERERCJiQk5EREREJCIm5EREREREImJCTkREREQkIibkREREREQiYkJORERERCQiJuRERERERCJiQk5EREREJCITsQMgqogUCgVCNmxEeEQ0fLw9MDooEHK5XOywiIiIqALiCDmRnhQKBYaMHoMIlRwuQycjQiXHkNFjoFAoxA6NiIiIKiAm5ER6CtmwEQ16DIaHXy9Y1qgFD79eaNBjMEI2bBQ7NCIiIqqAmJAT6Sk8IhpOnr5aZU6evrgYeUWkiIiIiKgiY0JOpCcfbw/cjwrTKrsfFYYWXk1FioiIiIgqMj7USaSn0UGBGDJ6DIDckfH7UWG4c2gbloQEixoXERERVUwcISfSk1wuR2hIMLylCtwJXQ5vqQKhIcFcZYWIiIiKhSPkRMUgl8sxafw4scMgIiKiSoAj5EREREREImJCTkREREQkIibkREREREQi4hxyon8pFAqEbNiI8Iho+Hh7YHRQIB/ULMTDhw8RHByMuLg4/O9//4ONjU2+OjExMdi8eTOSk5PRvn17DBo0qFh1iIiIKjOOkBMhNxkfMnoMIlRyuAydjAiVHENGj4FCoRA7tHLpk08+QatWrXDu3Dn89NNPOu/T0aNH4e3tjWvXrsHMzAyTJk3CW2+9pXcdIiKiyo4JORGAkA0b0aDHYHj49YJljVrw8OuFBj0GI2TDRrFDK5def/113L59G++//36BdaZMmYLAwED8/vvvWLBgAbZv347g4GCcOnVKrzpERESVHRNyIgDhEdFw8vTVKnPy9MXFyCsiRVS++fr6QiqVFnj89u3biIqKwqhRozRl7du3h6urK3bu3FnkOkRERFUB55ATAfDx9kBEVBg8/Hppyu5HhaGFV1MRo6q4YmJiAAANGjTQKm/QoIHmWFHqvEypVEKpVGpep6SkAABUKhVUKpXOc0ylUhips3WWF3RORZTXl8rUJ7GU5b3k+0VEABNyIgDA6KBADBk9BkDuyPj9qDDcObQNS0KCRY2rosrIyAAAWFpaapVbWVkhLS2tyHVetmjRIsybNy9f+YEDB2Bubq7znKnj3wLizuYrbzz+Lezdu/cVPal4Dh48KHYIlUZZ3Mv09PRSvwYRlX9MyImQu/NmaEgwQjZsxMXQ5Wjh1RRLQoK5ykox5d23pKQk1KpVS1P+/Plzzeui1HnZnDlzMH36dM3rlJQUODo6wt/fH1ZWVjrP8R84FAHzV+Qr/+vziTiwY6uePSu/VCoVDh48iJ49exY6nYherSzvZd5veYioahM9IX/y5AmCg4Nx7do1zJw5E40bN9Y6/vvvv+Off/7RKqtXr57OUTKikpDL5Zg0fpzYYVQKTZvmTvW5evUqGjZsCAAQBAHXr1+Hn59fkeu8TCaTQSaT5SuXSqUFJk5ZKhXURvn/qstSqSpl4lrYvSD9lMW95HtFRIDID3X+9NNPaNasGa5cuYLVq1cjISEhX50TJ07g0qVLaNu2rearWbNmIkRLREVVt25ddOrUCStWrIAgCACAP/74Aw8fPsTQoUOLXIeIiKgqEHWEvHv37hg7diweP36MNWvWFFjP2dkZY8eOLcPIiPRT1TYV2r17N/bt24cHDx4AAD777DNYWFjgzTffRKtWrQAAK1asQPfu3dG2bVvUr18fe/fuxfz58+Hh4aFppyh1iIiIKjtRE3J3d/ci1bt+/Tref/99WFtbo1OnTvD39y/lyIiKLm9ToQY9BuduKhQVhiGjxyC0Es9Bt7W1hbu7O9zd3dG9e3dNubW1teb7pk2b4vr169i/fz9SUlIwd+7cfIl2UeoQERFVdqLPIX8ViUQCFxcXODs748GDBxg8eDAGDx6M4ODgAs8pztJoearC0mFVoY9A2fXz942b0LDnYDTpkJuYenbsDmNJbvk7Y94scfvl8X1q06YN2rRp88p6VlZWr5x+UpQ6RERElVm5T8g///xz1KlTR/N68ODB6NixI0aMGIHevXvrPKc4S6O9rCosHVYV+giUfj/r1LZFHQC4e1pT5lDPHIC5QZbV47JoRERElVu5T8hfTMaB3J38HB0dcerUqQIT8uIsjZanKiwdVhX6CJRdP1cHr0WUykIzQg4AV08ehqc0zSAj5FwWjYiIqHIr9wm5LhkZGZpVGXQpztJoJalbUVWFPgKl389RgSMwZPQY5Ajamwp9GRJskOtWhfeIiIioKhN12cNXyc7Oxp49e7TKVq1ahcePHyMgIECkqIi05W0q5C1V4E7ocnhLFZX6gU4iIiIyLIONkAuCAIlEotc5p06dwm+//aaZI7tkyRL8/vvv6N+/P/r37w+JRILVq1fj448/RtOmTXH//n1cvnwZ3377Ldq3b2+o0IlKrCJvKlSczy4REREZjl4j5GlpaflWN9m0aRPq1asHuVyOoKAgpKWlFbk9W1tbtG3bFt26dcOqVaswaNAgtG3bFg4ODgAAY2NjbN++HVu2bMHAgQMxd+5c3L17F1OnTtUnbKIqLy4uDjt37tQqW7x4MWrUqIEaNWrgww8/hFqtFik6IiKiqk2vEfLly5fjyZMnmtd3797FmDFj0Lt3b7Rt2xY///wzvvzySyxYsKBI7bm5ucHNze2V9Ro3bozGjRvrEypRoaraRj5ffPEFOnbsqHl95MgRzJ49G2PHjoWjoyOWLl2KFi1aYOTIkSJGSUREVDXpNUIeEhKC0aNHa15v374dderUwbZt2zB79mysW7cOW7duNXiQRIaUt5FPhEqeu5GPSo4ho8dAoVCIHVqpUKvV2Lp1KwIDAzVlGzduRM+ePbFq1Sp8/vnnWLx4MT+7REREItErIY+JiYGrq6vm9cmTJ9GrVy8YGxsDAFq3bo3Y2FjDRkhkYCEbNqJBj8Hw8OsFyxq14OHXCw16DEbIho1ih1Yq4uLiUL16da2Vh06ePInXXntN85qfXSIiIvHolZDXrFkTN2/eBJA76nbixAm0a9dOczwpKQk2NjYGDZDI0MIjouHk6atV5uTpi4uRV0SKqHTVrFkTiYmJmt8APH78GFevXuVnl4iIqJzQKyHv3bs3JkyYgL179+LDDz9EcnKy1uY84eHhaNWqlcGDJDIkH28P3I8K0yq7HxWGFl5NoVAosHzlKoybMhXLV66qFNNYLCws0LJlS7z11lvYt28f3n33XdSpU0frs8rPLhERkXj0Ssj/97//Qa1Wo0+fPvjxxx/x7bffws7OTnN82bJlePfddw0eJJEhjQ4KxJ1D2xB9bD9Snz1B9LH9uHNoGwb171dp55avWLECly5dQkBAAPbt24dVq1bByCj345+Tk4OVK1di4sSJIkdJRERUNem1yoqdnR1Onz6NxMREWFpawtzcXOv4b7/9hnr16hk0QCJDy9vIJ2TDRlwMXY4WXk2x5N/XeXPLAWj+DNmwscKuMZ7Hw8MDMTExePDgAWxtbWFqaqp1/NixY7C3txcpOiIioqqtWBsDvTgq/iIm41RR6NrIJzwiGi5DJ2uVOXn64mLo8rIMrVTp+owaGxszGSciIhKRXlNWzp49W+iW9QEBATh37lyJgyISQ2Fzyyu633//HR988IHOY1lZWWjevDkSExPLOCoiIiIC9EzIv/rqq0LnmU6cOBFfffVViYMiEkNBc8tHBwW++uRybtGiRZg8ebLOY6ampggMDMSyZcvKOCoiIiIC9EzIz58/j5YtWxZ43NfXF+fPny9xUERiyJtb7i1V4E7ocnhLFQgNCa7wO3imp6cjLi6u0N1u+dklIiISj15zyBMTE2Fra1vgcVtbWzx8+LDEQRGJRdfc8oouMTERNWvWLLQOP7tERETi0WuE3N7eHtHR0QUev3LlCurUqVPioIjIcGxtbZGQkICUlJQC6/CzS0REJB69EvKAgADMnTsXarU63zG1Wo25c+dqbcdNROKTy+Vo06YN5s+fr/N4WloaFi1axM8uERGRSPSasvLJJ5/Ax8cHzZs3xwcffIDGjRtDEATcuHED33//PR4+fIiLFy+WVqxEVEyLFy+Gn58fwsLCMHbsWLi6uiI9PR2RkZFYunQprKysMHbsWLHDJCIiqpL0SsgdHR1x7NgxjB8/Pt8/3p06dcLWrVu5FjlROdSmTRscOHAAkydPxqhRozTlEokEgwYNwooVK/Jt9EVERERlQ++NgZo0aYLjx48jNjYWN27cgEQiQaNGjeDg4FAa8RGRgXTu3BnR0dGIiYnB3bt3YWpqCg8PD9SqVUvs0IiIiKq0Yu3UCeSOljs6OhoyFiIqA25ubnBzcxM7DCIiIvqXXgn5i7/qLszvv/9erGCIyPASEhIwc+bMV9arW7cuN/YiIiISgV4J+fr161G/fn24u7uXVjxEZGDJyclYv349mjZtWuhvtapVq1aGUREREVEevRLyt956C1u2bEFycjLeeecdDB8+HJaWlqUVGxEZQO3atTFo0CDs3bsXTk5OePvttzFgwACYmpqKHRoRERFBz3XIf/vtNyQkJOCtt97CypUrUadOHbz99ts4efJkacVHVCQKhQLfLfsJXV/rh47d/DF81BuYPO1DALnrbFdlNWrUwPbt23H//n1069YNn332GerVq4dp06YhKipK7PCIiIiqPL0ScgCwtLTE+PHjce7cOZw+fRqWlpbo378/p7GQaBQKBQYFvYFzqcbwGfcJEtOzgCbtUKvnCADA6PGToFAoRI5SfLVr18bMmTNx7do1bN++Hc+ePUObNm0wcOBAsUMjIiKq0vROyF9Us2ZN2Nvbw8bGBklJSQYKiSg3yV6+chXGTZmK5StXFZpQh2zYiHp+/dC0ez/cvXQG7QPHw7N7P1SrnrucX/0u/RGyYWNZhV4h1K5dG/b29pDL5fzsEhERiUzvhFylUmH79u3o27cvXFxccOrUKSxduhRxcXGlER9VQQqFAkNGj0GESg6XoZMRoZJjyOgxBSbl4RHRqNPYC8YmUiTeug5HLx8YS6WAIAAAajZojPMXI8qyC+VSWloa1qxZg44dO6JFixZ48OABNm3ahCNHjogdGhERUZWm10OdM2bMQEhICKytrfH2229j5cqVqFu3bmnFRlVUyIaNaNBjMDz8egGA5s+QDRsxafy4fPV9vD1w9nokLGrXgZ1rY8RGhqNhGz8AEgDA/auXERZ2AQqFAnK5vMz6UV4kJydjxowZ2Lx5Mxo3boy3334bu3fvho2NjdihEREREfRMyL/55hvUr18fbdq0QXR0ND766COd9bgOOZVEeEQ0XIZO1ipz8vTFxdDlOuuPDgrE9qA3kJWlhHPztvhz8WxkpCbB2bMFIAGu/r0XrUeMLzChr+wSEhKwevVqeHp6wt3dHadOncKpU6fy1eM65EREROLQKyHv06cPAHDOKZUqH28PRESFaUbGAeB+VBhaeDXVWV8ul+OPDevw65q1+HPVQqiSH+PWycN4FhOFDq/3wrBPvoIyS1VgQl/ZyeXyIn12uYQpERGROPRKyHfv3l1acRBpjA4KxJDRYwAAdi7uOLpxJeIjL6Dx22O0pp0oFAqEbNiI8Iho+Hh7YOxbb2Lqe+9i+cpViFDJ4dmxO3D3NGTmFogJP1xgQl/ZOTg48LNLRERUjpVolRWi0iCXyxEaEoz66Q/w6/uBeJYQD4+eAxGlMtc83FnYg5+jgwJx59A2XD15GABw9eRh3Dm0DaODAkXuGREREVF+eo2Ql4bk5GSEhITg2rVr+OCDD+Dm5pavTkJCAn7//XckJibCy8sLQUFBkEqlIkRLZWnzjl3oOmEWnH3aITYyHGF7t8C31wDNEoaFPfgZGhKM3zduAmAOT2kavgwJrpIPdBIREVH5J+oI+cqVK9GkSROcPn0aP/30Ex48eJCvzo0bN+Dl5YUjR47A0tIS//d//wd/f3/k5OSIEDGVlZANG+HRfxSadu0DefVaaOLnj2avDcPzxARcjLyC8IhoOHn6ap3j5OmLi5FXAOSOsr8z5k0AwDtj3mQyTkREROWWqAl5u3btEBMTg8WLFxdYZ9asWfD09MSePXswd+5c/P333zh16hTWr19fhpFSWQuPiEaDZq2Qk63SlDl6+eBOxAW08GoKH28P3I8K0zqnsAc/iYiIiMorURNyLy8vWFhYFHhcpVLhr7/+QlBQECSS3DWlHRwc0KVLF+zcubOswiQR+Hh74PHNK8hRZkCVpYRarcbd8NPIfpqA0UGBmnni0cf2I/XZE0Qf28954kRERFQhiT6HvDD379+HUqlEgwYNtMpdXFxw8uTJAs9TKpVQKpWa1ykpKQByE3yVSlXQaZo6L/5ZGVWEPgYOG4q94yfBRALUdHHHzcgwxPy1BXu3b4VMJgMAbFrzKzZtDUXEHyvRzMMdi9b8CplMlq9/5bmfRVHR4yciIqLCleuEPCMjA0D+9ZGtrKyQnp5e4HmLFi3CvHnz8pUfOHAA5ubmRbr2wYMH9Yi0YirvfRw7ckTuN1mx8GlcG2g8BWFh2tNU6tS2RZ3atgCAo0eP6mynvPfzVQr7WSciIqKKr1wn5HkP4r28mcnz589hZWVV4Hlz5szB9OnTNa9TUlLg6OgIf3//Qs8DckcjDx48iJ49e1balVyqQh+BytPPvN/wEBERUeVUrhNyJycnyOVyXL16Fb1799aUX716FU2bFvzwnkwm00xreJFUKi1yYqZP3YqqKvQRqPj9rMixExER0auV642BjIyMMHToUAQHB2umr1y6dAmnTp3C8OHDRY6OiIiIiKjkRE3Iz549iylTpuCzzz4DAHz//feYMmUK9u7dq6nz5ZdfQqVSwdfXF0FBQejWrRvGjBmDfv36iRU2ERVBv379IJfLtb4CA7VXwVGr1ViwYAEaNmwIW1tbDBgwALdv3xYpYiIiInGIOmXF2toa7u7uAABf3/82ealVq5bm+9q1a+PixYvYv38/EhMT8f7776Nt27ZlHiuVPYVCgZANGxEeEQ0fbw+MDgrkBj8VSEZGBiZMmKD1gLWJifZfOQsWLMAPP/yAzZs3o0GDBvjwww/Ro0cPXLlyBWZmZmUdMhERkShETcjd3d01CXlhZDIZ+vfvXwYRUXmhUCgwZPQYNOgxGC5DJyMiKgxDRo9BaEgwk/IKRCqVFvh+ZWVl4ZtvvsHnn3+OHj16AABWr14NOzs7bN68GW+++WZZhkpERCSacj2HnKqukA0b0aDHYHj49YJljVrw8OuFBj0GI2TDRrFDIz2sXr0atWrVgoeHB2bMmKG1YkxERARSUlLQvXt3TVmNGjXg4+ODEydOiBEuERGRKMr1KitUuRU2JSU8IhouQydr1Xfy9MXF0OVihErF4OXlhalTp6Jly5a4evUqpkyZgnPnzuHo0aMwMjJCfHw8gNxpaS+qXbs2EhISdLZZnE2/TKVSGKmzdZZXpk2XKstGWOVBWd5Lvl9EBDAhJ5G8akqKj7cHIqLC4OHXS3PO/agwtPAqeLlLKl++/fZbzff29vb4/fff4ePjg2PHjqFLly6aY0ZG2r+oMzIyQnZ2/gQaKN6mX1PHvwXEnc1X3nj8W1oPkFcWFX0jrPKkLO4lN/4iIoAJOYnkxSkpADR/hmzYiEnjx2F0UCCGjB4DIHdk/H5UGO4c2oYlIcEiRUwl1axZMxgbG+PGjRvo0qWLZmT88ePHsLe319R7/PgxGjdurLON4mz65T9wKALmr8hX/tfnE3Fgx9aSdKlcqSwbYZUHZXkvufEXEQFMyEkkL09JUaYr8Oj+HfxyYj8AYHRQIEJDghGyYSMuhi5HC6+mWMIHOiu0mJgY5OTkaBJxb29vmJub49ixY/Dy8gIApKamIjw8vMAHOouz6VeWSgW1Uf6/6rJUqkqZuFb0jbDKk7K4l3yviAjgQ50kEh9vD9yPCgOQm4z//vn7MLetg36ffY8IlVwzOj5p/DisXPYtJo0fx2S8Arl+/TpmzJiBO3fuQK1W49q1axgzZgxcXV01u+6am5tj/Pjx+PLLLxEdHY3U1FRMmzYNNjY2+dYrJyIiqsw4Qk6ieHFKyqP7d+DZcwAatu6E6jY2sKvnBOC/6StU8bi6usLV1RUBAQG4ffs2qlevjoCAAGzbtk1rffHFixdDqVSiTZs2yMzMhI+PD/bt21fg9BMiIqLKiCPkJAq5XI7QkGB4SxW4dWI/nD1boLqNDYwkuT+STp6+uBh5ReQoqbhMTEwwefJkXLt2DRkZGUhMTERwcDDq1q2rVc/U1BQ///wzFAoFMjMzce7cOTRv3lycoImIiETCEXISjVwu14yAR9y6Crt6TlALamRkZCD69D8QUpOhUCg4VaWCMzY2LlK9l3fxJCIiqio4Qk6iGx0UiDuHtiHq6D7E3b2FqOOHEHHwT1Tz7oQho8dAoVCIHSIRERFRqWFCTqLLm76SeuEQDi1fjBxFCt5c+DOa9xzA3TmJiIio0uPviKlckMvlMJdbYehbs2FZo5am/MXdOQvb2ZOIiIioouIIOZUphUKB5StXYdyUqVi+cpXWdJQXl0LMcz8qDE3cXPDdsp/g26krtpwIR70+b+JylgU69eqDMeMn52uHiIiIqCJhQk5lRqFQYMjoMYhQyeEydLJmvfG8ZDpvLnn0sf1IffYE0cf2I2bfZuw9dASXlOZ4fdFq1PfthB3fzUONhh7wHDQGqdUd8rVDREREVJEwIacyE7JhIxr0GAwPv16wrFELHn69tOaIv7gU4p3Q5fCWKtDXvyca9hqKhm27wMrWHk38/NEsYAiuHj8IZ592eJYQl68dIiIiooqECTmVmfCIaDh5+mqVvbzeuFwux+igQLTwaorwiGjs/GsfHD1aQCo1QU62CgDg4OmDJ/duITYyHHVcGutsh4iIiKiiYEJOZaagOeItvJpqXr88rQW1HBB16h+YmZkhR5kBVZYSsZFhUGercHnvFvgGDNLZDhEREVFFwYScysyLc8RTnj7Chf07cPjXb5CZmamZ//3ytJa+785B2O7NuHhwF6TqbNw8vh9n1v6ApJuR8O01AFmZmYg+th93Dm3D6KBAkXtIREREpD8m5FSqXlxVJWTDRgQv/xGN1c+wdtpo3Is4j6CFK3HDuJbmocyXp7XIzOUI/Owb3PprMw599RHuHAjFpLffwOHdO+Erz9bMNQ8NCeYSiERERFQhcR1yKjV5008a9BiMBkMm4uyF0/g2oB+aN3VHp9GT0bznAABALYf6AHJHx328PRARFQYPv16aduKuXoIiMxNtXx8DJ09f3IgKw5hJUxAaEoxJTMKJiIioguMIOZWavOknTTr1hMrIBA07+aPdm+8jLluKc3u2QZn+3zKFeQ9l6lr68NzmVWgTOKHA1VmIiIiIKjIm5FRqzoVfRk2XJnjy9Cmyc3KgzsmBo5cvjE2kaBYwGGF//aGpm/dQpq6lD31b+KC+V0uttrmqChEREVUWnLJCpUKhUOBCWBiyXH3g0bUPcrJVyMpIR8yZo7Cr74I6jZri0PLF8OoagPtRYbhzaBuWhAQDyF36cNL4cf81tnJVvmksXFWFiIiIKguOkFOpCNmwEd4D30DEgR24fuIQMtNScTvsJE5vWg0JJEi5fwtN7GyK9FCmrmksXFWFiIiIKguOkJPBKRQKbAr9A5nyWmjg0x5JiXG4feEErOzrwd6tCW5dPIPUq0ZFXhklbxpLyIaNuBi6HC28mmIJV1UhIiKiSoIJORmUZmUV/6Gw9/BBwvUoXNy7FUPmfodb50/g+f1bcLOzwS8//gC5XA6FQoGQDRsRHhENH28PjA4K1Jlo55vGQkRERFRJcMoKGVTeyio+/v1QzdwCjl6+sKxlh+APRuHwyiUwTX2slYy/uCtnhEquWY+ciIiIqKpgQk4Glbexj5HECOYyE/z55UdwadkBAz9egu5vfwCp1FSzWVCf14fBvkMfNOnUk8sZEhERUZXFhJyK5cUdOJevXKUZ1fbx9sD9qDAAwMV9O+HTdwQad+gOu3oOaNVrIFz9h8B/wOuIUMmRU70O6nj64nlSEtSCGgCXMyQiIqKqp9zPId+6dStOnjypVVanTh3MmjVLpIiqjoLmd7+4A6fL0MmIiArDkNFjEBoSjNFBgRgyegwA4P7VCHR66wPkKDNgZWMDALBt2BQmNezh4dcLyY8fIeF6FBq27YyMjAxYmFtwOUMiIiKqcsr9CPnhw4fxzz//wNnZWfNVr149scOq9Aqb3503T1zXzpkvbuxjkvQQCVFhqG5jAyNJ7o/anUvn0ODfTX58Awbh8t4tiDn9N5IeJ3I5QyIiIqqSyv0IOQA0bNgQU6dOFTuMKuXFpBsAPPx6QaXMxIQp7yP6xi24duqFhukKyMxzV0Rx8vTFxdDlAP5bEWV0UCAGBb0BQECdxt5IuB6BqJ0haDn0bQCAzFyOUfN/wO6fFiH2wFYMHdiPyxkSERFRlVMhEvJbt27h448/hrW1NTp16oT27duLHVKlFx4RDZehkzWvlekKnNuzDd7+A9BvxPu4G3URv3/+PkbN/wEyc3mBU00EQY17Eedx68IpmJhKYWlpibMbf0H4gT/RoFkrVLerA1nqY4Ru2cBEnIiIiKqkcp+QSyQS1KhRA2ZmZrh9+za++OILjB07FsuWLSvwHKVSCaVSqXmdkpICAFCpVFCpVIVeL+/4q+pVZC/3MS0tDZu2huJy1FU082yCEUOHwLeZJ6Kiw9CkQ3cAwOX9O+DbZzCatusKs2pmMK3WHiZGwKmtwVA8e4SEKxfhPmokkpKSYGFhAQD4feMmuAcM17ShTE9D8JyJaB04HvYNPXAv+iJOb/wFf6xfB5lMBpVKpTOWvPZK2s+KqqLHT0RERIWTCIIgiB1EYe7du4f69etrXh85cgTdunXDwYMH0aNHD53nfPHFF5g3b16+8g0bNsDc3LzUYiUqDenp6QgKCkJycjKsrKzEDqdcSUlJgbW1daH3poN/H/RbvDZf+a5Zb+LkgT2lHWKZUalU2Lt3L1577TVIpVKxw6nQyvJeFuVnmIgqv3I/Qv5iMg4AXbt2haOjI06cOFFgQj5nzhxMnz5d8zolJQWOjo7w9/d/5V94KpUKBw8eRM+ePSvtP2ov9nHd+g2IUlloRrEB4OrJw/CUpmHE0CHYtDUUEdHXkKZIgWWLLmjS8b97fvHwHsRGhaH/B58DANSCGuf37UTijUh0e+NdHFj9PbJzciCTyWDfoBHib15FmxHjIZPLUc3CEgCgSHqK/d/Px5h+PQGgwFjeGfNmifpZkd/LvN/wEBERUeVU7hNyXbKysgr9Nb5MJoNMJstXLpVKi5yY6VO3opJKpQi7HAWXoZMhGP33o1DPwxfhocsxcdxYjAocgZANG3H2wkWc3PALsgWgvldL3I8Kw7GQnxG0cCVyJEbIyMhARmYm7Dx8cDcyDCbVLPDkYTzcuwSggU97JFyPwLULp1DDzRMtAoZAbWQMAIi5cBpP4uOw8JsfYGluhiH/W647lhK8FxX9vazIsRMREdGrleuEPDs7GydPnkTnzp01ZRs2bEBiYiL8/f1FjKzy8PH2QERUmGY1FQCaBzQfPnyInv0GwcimNhyaNoNb94E4uXYZslq2RKsW3mj01hu4fusqJBaWMJZVg6mFJWLOn0DclQic/XMTWvy7KZAyLQVurToiOy0VZzatgqyaOZx92uHW+RM4/MsS9Jg0C87N2+D2hZNYP3caJvywDtUsrLRiISIiIqqsynVCLpFIsHDhQsyZMwceHh64f/8+jh07hgULFmgl6VQ0eWuIR0RfQ+9ufkhLS9PayMfJ0xe3wk7i3OZVSPX0xNfLlqPN6HfRwLc94iLDEb5nM9xfGw7vWlJMGj8OCoUCnXr1gWemEs4+7XA/4gIi9v+BdoHjcfmvUAz67Bvk5GTDTGYGiQRw8m6Ne0d24tLmlYg+vAspjxPRY9IseHbrCyMjIzTrNRA5OdnY+d3/0GfSR7gfFYY7h7ZhSUiwzn68vGERERERUUVUrjcGMjY2xv79+/Hjjz+ibdu2mDBhAmJiYvDpp5+KHVqF8+JGP86DxgIARo+fBACajXxubPgeYduC0X70FGTUckbbN6agYWs/yG1qoknnXvDpOwLpKcn486/9AHLXG2/m4YH0xwk4EfwDspKeoN+MBXDybonsLCXuhp9GTmYGlEolVDBC/K2rkNZ1gZ29Hd54rTuy0lLh3LwNjIxyfwwlEiO4temMh1fCcSd0ObylCoS+tC55YRsWEREREVVE5XqEPI+Pjw98fHzEDqNCyhtN3rLjT6CWAxq27AAzMzMgGajXzh8TprwPc7kVfLw94O3hDjPvjvDw64XQrz5Bh54DITWrBpUyE6bVzOHo5YNLe7eiupCtab9NyxaIUMnRddREKNMVuPDXdlw5+TeQ+hyXQ1fDCGrU9WyFhEvnEPHXNoya/wNuXjgJmVSBTm1a4v7lc/Ds3g+CIEAQBNy7dA6+3l5Yuexbnf3RtWFRXvmk8eNK/4YSERERGViFSMhJfwqFAqt+W4Pla9ah/cjJaDPpcyTcuobfP38fo7/ITXbDDvyJxp0DYN+8NU5ePo9ja1Zi1MIVAABbxwY4uuZ7CAJQw9EZPn2H4274aTyJvY0xE8dqrqFUZuHv375B1InDeP4wHi36DEWv9z5Byv1buHUgFLf2bsbtC6fh6O6l2UQob1fPpV8uRNtuvaBWC3Bu0QZ3L5/D36u+RmPXBlAoFDqnoby8YRGgvUsoUVHdu3sHHfz7aJXZ1bDB9k3rRYqIiIiqKibklZBCocDAwFFISE6HmW09JD9/ijomJnBr2xXZWSrs/HYepo8cBHlNOzh4twRk5shQKGDt4IJfZ4zBpJ824sb5E2jS5TU4+7TDg6uXsf7DMVAqUuFW3xHj3n5LM3WkQY/BePPbEOxd8TU8uvWBR8fuMDc3h1EDN0gkEqScPwirVt11PjRqb2+Pt4KGYfW6H3Hkt28ht66O8d+txaM7MQWOeBf2ECqRPoxMpPnWJ981S//lNYmIiEqKCXkF9/DhQ8yY/TGib9yCRyNXLP1yITZu2YrYp8nw6RcIl1YdEBd9Gbu/mYueEz/Cpb9C0aL3IACAs2977F76OQQBaDkgCP1nL8Sts8ew4r2R8H/3YzRq1w2qzHS4+rZDdkYa1FdPY/WKnyGXy7F85SqtqSMmUilcWnWCRCKBkSR3TriTpy+uXjqKk+uW4dQfG2BqVg2qLCXUyY8xd+d2KBQKrN+2A13HToOTdyvERobjz+//hwFT5+Li3nU6+/vyQ6gFPfhJREREVFEwIa9AXl5dxL97N3Tv/zo6vTUVfUZ9iPuXzqJt916oa2uLtsPeRsM2nQGJEZr4+QOCgCO//YDmrw1Bo5btgZTraNjaD8osFe5HnId7px7IVirRqGNPRB7eDVtnN2RlZkACoLqNDbw7dsedhzc000henjpS19Ud8dcuw6JVR03ZvcgLuHT5MloNH4ezu0PRqHMA6rg1QWrsLYyZNAW9unZG+5GT0bBdN0hNZblxAji6cSWGddT9zIBcLkdoSDBCNmzExdDlaOHVFEteevCTiIiIqCJhQl6O6FrOD8h9YPHE6XM4GxaGtkET0aDvGFy+eQVL+g9Cx7emwbN7PwDQ/Hns16/R2b0ZpDIzZKTm7vLo4NEcf6/+BvYNm0IikQAAspUZqNPYE7cvnEB2VhZUykyYyMxQr0kzPLh6GU27vIacbBWePH2KR9H/TQtRKBRIV6Rg66JZcG/bBb4Bg+AbMAgrp70JSbYKjVt1xP2oMJzd+AtajxiP9JQUtBw4Ck38/KHKUsK2Tj0YGRlhx84Q9Pr4G6iUGbnxZGXh8d0Y3DhzDMpWngXOI5fL5XyAk4iIiCqNcr3sYVWiUCgwKOgNnE0xQa1eo3AmxRjtu/dC8/Z++OtaPPYfPozWo6agSff+kNnUQh3v1rCwrw97t6bIUKQgPTUZ6anJsHNrisysbBxZ/S3SkpMgM5cjOysLN04fQU5WFh7fiYHw7zKDOeoc3Lt0DjkqFQS1GmaWVjAxNYWZ3ApHfv0GV/7Zi8zUFNy6cAq7ly3EoP79NHPHLVv2QI9Js2FkYYXfZk1A+KHdqGtjieayDM2Shc08PODQpDku/b0H104ewrkdv+cm/tnZcPL0hbGJCWKjL6K6jQ3U6anYNu99VK/rhLe+X4/rRjW4nCGVubwHPV/+en3ESLFDIyKiSqzKj5DnjUqfvXARqqxMmMst0bdnN6SlpcHExAQhGzbiXPhlpCQ/x9UbN5GWpoDUyAjV5FbwbtoYS79cCLlcrhnZbtrIFRKJEaKvx8Cprj3++HMX4h8/gSozEw517VHNXI7YuFgoVdnIzsqCkJMNWzt7pKelwtqxIWQP41Hb3Rt27t6Q1XVFYuQ5HNuwCnXdvVGvqTfObVuL6ycPQWJkDCMTE8RGhcPbfxByslXISk9DwvVoNAsYDGu7utgw6x30fv9zPLp9HcfX/QRTczn++mE+eo6bjmaedbFn6VzciQiDKjMdOdkqGJuaAoKAuxfPoOvY6VA8f4q/vv8Cj+7EwMa+Hjx8W0OdnQ3L2nVx5dY3yM5SQl7DFla2dbD3x0WQQMDde/dQTWaKJ48eIu7BA5y4/AFav/4GnLxbIeFGNLbN/wADPvw/3L14GtWtLXFi7TIkJSXh+cMHaNbrdbi27AATqQmcW3aEIAiahzu5GRCVBV0PegJ82JOIiEpXlU7I80Z7HTr1Qfit+2gWMBi13NwBPELg2+OQnZ0DV/8hsA0YDeX1aEgePodvnxGI2L8Tfu9/iuT4+2jbrRec6zuiSd+RqNfnTaxYMB2+fYejyevjEHHiH6QIJhj1TQhiI8Nw7o8QZMEEXSbORvV6ztj/w3y06DsM9Zo0w6Pb13Hpr22wsrXHnqWfQ2IkQYs+w9Bx1AQkXIvEmdBghH7+PkxMZWg3/G3UdffGjVOHcXRN7lKCdRp5IDb6EiIP7MDrn38HYxMTABJs/fxduLb2w4BPlmLX4lnoOGoSLu7ZiuGeH6DX5Dm4e/UyDi3/EvWbtYGzT1skXLuMZw/uw71TLxgZGyE24gJ6TvwIdRp74e7FMzgeshztg8bDuVlr3Ak/jciDO+HUrCViIy+gw8iJcGvXFfHXInFq0yokJcSh+4QP0cSvF1TKTDRs4wd1TjaOrPkeqY8folHHHki/eQ/P4mNx5dh+DPniBxjLzGAik0GVnQ0rJ1ec/+t3jH5hRReXoZMRERWGIaPH5Ns0iIiIiKgiqtIJed4mM8mPH8GnfxCa+PkjJzMdePQIahs71GvqiwatOiFLDXg5ukBqaorkRw/RIWg8HkRfQvPegwBIcHHXRgzx64VT20LQbvg4NGzbGVlpqfD2HwBzKxvEnPkHLQcE4cHVy3DybgnP7v1wNnQt2o8Yiwa+7WFsIoWtsxtMpDIonj1G9bqOcGrWCo3ad4MyTYEmXQIAIwnC/tyE9sPHwv3fhx+bvzYUkEhw9eg+HFn9Lbx6DsDgud9DZiGHIAhwbtEa1467o/9Hi3A2NBi1nFyRlZmO9sPfAQBY16mHxjVsIYEEqU8fwbq2PSxr2kJazQIR+/+AsYkJWrw2FI079UBGchKadgmAqbkFMpOTYG1fD549+sFYaor05Ofo/PYHyEpPh419PdjY1YWRkRGOhfyEBi3aQhAEGBkZIys9DbVdG+PSrk0Y+vk3kFSTw6K6LRTPH8O+YRM8un0DtZ1zl0uUmsqQcOMK1Blp3AyIiIiIKrUqPYc8PCIaTp6+iL91DY5euat65I4sAyqlCnXcvaBSZcPIRAoAcPD0wZP7N+HolftnTk4O6jdvhcz0NADQtGNsIoVaAIxNpHDw8sHjOzEwlkqRrVKiXpNmAIAn927CwdMHgiDAWJrXfgs8vHkV2VlK1GnsCVVmBoyMjGBkZIS6jb2RrcyEg2eLf3e1VMNEagrnFu1gai6HRfWaqOXkApmFBQBAAiA2Mlzreo7eLREbcQF1PZpp7kGOKgvOLVrjyb2bgJBbVs/dG4m3ruFhzBU4ePnkzjEXcg86N2+NR3du5N4rqRT1mnrjyb2bcPJuiSf3bwLIbcbBywcmUlPci7gAqVk1yCzkMDaR4vGtG/Dq3AtGUhmMTUzg4OWDR7dvwMTUDJf+CsW14weQ+uwxrh47gMt/bYOprJrmfXqRk6cvLkZeMdjPAhEREZFYqnRC7uPtgftRYajr6o7YyHAAQE527rbwUpkUCdciIZWaQJ2tAgDERYWjllNDxEbm/mlsbIx7l87DzDw3Cc5rJydbBSMJkJOtQlxkOGwbuCFHpYKJVIYHVy8DAGrVb4i4qHBIJBLkqFSQ5LVf3xWQSPAg+hJMZGaQGBtDpcxE/LUISM3MEBuVG6dEYpTbfnQ45DVtYVW7Lk5uXIVrxw5A8ewxrh0/gFMbV8Kylr3meta29khOjEdsxHkAuauaqHNycPfSedSq3xCQAMZSU9wOOwkAsKpdB3fDzyArIx3GJlIAEty9dA61GzTKvVcqFR5ciUCt+q6Ii76IWk4Nc2MDEBcZDpu6Dji/fR2uHTuAtKSnuH7yEE5vWQ3fgEGQSk2Qk52NuMhw1HZphLrunvDs3hfPE+JwbM33yHr+GK37DEZr3+aa9+lF3AyIiIiIKosqPWUlb5MZh059cO7PDchRKeHg5g4AMEpKxINju2BmJoOVoyvirkfj8l+haNypJ05uWIle73+KmLNHcXLN93Cu74joY/vRqI0fNi6Yjqy0FDRp2wkRB3bg4p6tGPjxEkQe+hMPrkXgadwdQGIEB08f7P9hPjJSk1GvaXM8un0DF/dshmePAUiKv48L925CnZODek2bIfHWNZza/CvSnz/DqQ0rAUFAXXdv3Dp/HGdDg2FuXQOJN69AJrfC9VN/49rxQxCghrFUhsiDO2FazRyOXi2x99vP0azXIJze8hsGzfkQSQ/j8CDmKg6t+AodR05EypNHeHz7Os7vWI+UxATYN/LA1WP7IAgC7FzdERcdjhMhy9H57Q+Q9PAB7oSfQuTBP9Gkkz+OBi9Du2FvI+nhA80c8rTnT9AhcBwe3b6KyH3boHoaDwfb2rh54SQcPVrgyskjOL9zIwbM+QoJNyJxZPV36PLmFLQdNw2x0Rdx59A2fPfvhj/cDIjElLf6yovsathg+6b1WmWvjxiJxGdJ+c7XVZeIiCiPRMibi1CJpaSkwNraGsnJybCystI6lrd6x7mwS8hSZsBCboU+Pbuic+fOmlVWzl+MQHLSM1yNuYk0RRqkRhKYW1rDq0kjrVVWLkZeQRM3F0gkRrhy4yYc69jlX2XFQo7Y2FgoVTnIVikhZOfA1t4eUGcjQ5WNzLQ0QGIMdU421NkqGMvMkKNSQWZuDlV6GtSCAGOpKSRGRsjOzICZ3BImEgnUEgmMBDWMjE2gBiBR50Aul6NGzVrIUWVBmZ2D+nXrID4hAc9SUvHN/83De7M+QUpSEoScbEiMjSGrZo7q1tYIGjYYplIp9h06gqysLDx+lIjMbDWylenIzlZDYmwME6kUOdlZqFG9JuTVzJCmVEGVmYYciTHMTKVwd2sIcwtLCOpsyKpZoFULb6111S9GXkHTRg2hVCqx/+9/oM7JQe8eXWFmVg1XbtxEC6+mWiup5L1PFyOv5DtWEJVKhb179+K1116D9N9pQRVRYT+/lUFWVhZOnTqF5ORktGrVCnXr1i3yuUW5Nx38++hcOeXnkd0xef3hV5YVVL5r1ps4eWBPka7143A/1HduoFVm6CS9svy8lwdleS8r++ebiIqmSo+QA/9tMjPp39d5fxFbWFhAKpVqHStMQQ8XfvbxbIPFaih5fbwVebHQf2xmz/ywVK7/8r2a9eH0V57DzYAqp7t376Jnz54AAAcHB5w9exbffPMNJk6cKHJkhqVrOUUupUhERHmqfEJOROKZOHEiHBwccPDgQZiYmCA4OBjjxo1Djx490LBhQ7HDK5SuaSzxCQkiRfMf/4FDkaVSaZU9fBAL+3qOWmWcRkNEVH4wISciUTx69AgHDhxAaGgoTP5d3Wj06NH46KOPsHnzZnzyySciR1g4XaPeP4/sXqI2DTEHPWD+CqiNtP9q/3lk93yx/jjcr0jz4kszViIiylUlEvK8afIpKSmvrKtSqZCeno6UlJRKOw+zKvQRqDz9zPu5rWyPe0RHR0MQBHh6emrKjI2N0bRpU0RGRuo8R6lUQqlUal4nJycDAJ49ewbVS6PCeYwAZKU8z1cuNTHJV66rTJ+6+pyfEBeLTi8lxA8fJ2L0dxvznR88aXC+urbVrbDq5x81r/N+3rNSnudLyHVdX2ZWDb0++U6r7OD/TcXTp0/zXV+Xx8+S8p1fUBvjJk/B4+faf/++HL++dXXVK6xdfeTdy6dPn+r9d4c+fQWA1NRUAJXv801E+qkSD3XGxcXB0dHx1RWJyrHY2Fg4ODiIHYbB7NixA4MGDcLjx49Rq1YtTfngwYORlpaGffv25Tvniy++wLx588oyTKIyUdk+30SknyoxQl63bl3ExsbC0tISEomk0LopKSlwdHREbGxspX3ivSr0Eag8/RQEAampqXqtPlIRyGQyALkr6LyYkCsUClSrVk3nOXPmzMH06f89BKxWq/Hs2TPUrFnzlZ/tyq6y/LyXB2V5Lyvr55uI9FMlEnIjIyO9Rx6srKwq/T9qVaGPQOXop7W1tdghGJyrqysA4P79+3B2dtaU37t3D6+99prOc2QymSaRz2NjY1NaIVZIleHnvbwoq3tZGT/fRKSfKr1TJxGJp1GjRmjYsCG2bt2qKbt8+TKuX7+OPn36FHImERFR5VIlRsiJqHz69ttvMWjQIJiYmKBBgwb47rvvMGDAAHTvXrLVSoiIiCoSjpC/RCaTYe7cufl+LV6ZVIU+AlWnnxVZ3759cerUKajValy8eBGzZ89GaGio2GFVSPx5NxzeSyIqa1VilRUiIiIiovKKI+RERERERCJiQk5EREREJCIm5EREREREIuIqKzocP34cDx48wMCBA2FmZpbveFZWFk6ePInU1FS0atUKderUESHK4lEqlThx4gTS0tLQpk0b2NnZiR1SiQmCgCNHjuDRo0cYNmwYjIzy/z8zMzMTJ06cQEZGBtq2bQtbW1sRIiUyjPDwcNy4cQM9evTQ2lQpj1qtxpkzZ/Do0SN4eXlp1nwnbYIgIDIyEvfu3YOzszO8vLx01nv48CHOnTsHuVyODh068GFPIjI8gTRCQkKExo0bCw0bNhQACAkJCfnq3Lp1S3BxcRHc3NyELl26CObm5sLKlStFiFZ/169fF+rXry+4u7sLfn5+grm5ubB27VqxwyqRFStWCK6uroKrq6sAQMjIyMhXJyoqSqhXr57QtGlToWPHjoKFhYWwceNGEaIlKpn9+/cLrVq1Etzc3AQAwvHjx/PVefbsmdCqVSuhXr16Qo8ePQRzc3Phk08+ESHa8u3IkSOCp6en4O3tLfTt21eoXbu24OfnJzx//lyr3urVqwVzc3Ohc+fOQqNGjQRnZ2chJiZGnKCJqNJiQv6C4OBg4erVq8LBgwcLTMi7d+8udO/eXVCpVIIgCMKqVasEqVQq3L59u6zD1VuHDh2EgIAAIScnRxAEQVi2bJlgZmYmxMXFiRxZ8a1cuVK4efOmsHXr1gITcl9fX2HgwIGCWq0WBEEQlixZIpibmwuJiYllHS5RiWzfvl04c+aMcOfOnQIT8gkTJgju7u5CSkqKIAi5iScA4Z9//inrcMu1ffv2CVeuXNG8fv78ueDi4iJMmjRJU3b37l3B1NRUWLVqlSAIgpCdnS10795d6NKlS5nHS0SVGxNyHQpKyOPj4wUAws6dOzVlKpVKqFGjhvDll1+WdZh6yfsHfP/+/ZqyzMxMwdLSUvjuu+9EjMwwCkrIr169KgAQjh49qilTKBRCtWrVhBUrVpR1mEQGUVBCnpOTI1hZWQlLly7VKvfx8RHGjh1bliFWSOPGjRPatWuneb1kyRKhevXqmgEYQRCEP//8UwAgxMbGihEiEVVSfKhTD1FRUQAAT09PTZmJiQmaNGmCyMhIscIqkrz4XoxdJpOhUaNG5T72ktDVbwsLC7i4uFTqflPVdO/ePaSkpGj9vAOAl5cXf95fITs7G0ePHtW6d5GRkXB3d4eJyX+PW+XNM8/794CIyBAq9UOdhw4dwpMnTwo8bmRkhGHDhhW5veTkZABAjRo1tMpr1qyJpKSkYsVYVipy7CWR1+/q1atrlVf2flPVVFU/54Ywc+ZMJCYmYs6cOZqy5ORknfcSAO8nERlUpU7Ijx49ipiYmAKPGxsb65WQ5z1Zr1AoYGNjoylXKP6fvfsOi+r4Gjj+ZWEBaYJdRAVRkSLSbCA2BHs3NkQxlqhJ1HTToymaaDS2mFhiQcFeUWPvLQooAqKCKKDY6XWBff/gZX+soAICCzif5/ERZu/ee3a9I4fZmTMphRK+yqZg7AUrx6SkpFTriiP5rzs1NRU9PT1F+4vvgyBUBwX7eUHifn+1X375hZUrV7J//37MzMwU7VpaWoUS7/z3VryfgiCUpWqdkP/4449ler780mHR0dGYmJgo2u/du4ejo2OZXqusFYy9YJm06Oho3NzcVBVWuSv4uq2srIC8UmcxMTEMHTpUlaEJQplr2rQp6urqREdHK7Xfu3ePZs2aqSiqym3evHn89NNP+Pv707VrV6XHzM3NuXz5slLbvXv3AMT7KQhCmRJzyEvA0tISU1NTtm3bpmgLCAggMjKSvn37qjCy17Ozs8PY2Fgp9nPnzhEbG1vpY38Tbdu2pU6dOkqv+/jx4zx58oQ+ffqoMDJBKHs6Ojp07dpV6X5//PgxJ0+erNb9vLR+++035syZw759++jevXuhx/v06UNUVBQBAQGKti1bttCkSZOX1iwXBEEojWo9Ql5SwcHBhIWFKRbr7Nmzh5o1a+Ls7EyTJk1QU1Pjjz/+YNiwYUgkEpo0acKiRYsYOnQoXbp0UXH0ryaRSFi0aBGenp7k5OTQsGFDfv/9dzw9PWnfvr2qwyu1K1euEBERwaVLlwDYtm0bUqmUrl270qBBA6RSKQsXLmTChAlkZmZSp04d5s+fz4QJE7Czs1Nt8IJQQnfu3OG///7jyZMnABw7dozY2FhsbW0VnwD9+uuvdO7cmXHjxtGuXTtWrVqFra0tXl5eqgy90vnnn3/44osvmDx5Mk+ePGHz5s1A3qLv/v37A9CpUyeGDx/OkCFD+Oijj4iNjWXp0qVs3boVNTU1VYYvCEI1oyaXy+WqDqKy8PPzY8+ePYXaZ8yYQceOHRXf//fff2zcuJHk5GRcXFwYP3486urqFRlqqZ0/fx5fX1/S0tLo3LkzY8eOLXJny6pizZo1HDlypFD7l19+SZs2bRTfnz59mi1btpCenk63bt0YM2aM+IEqVDknTpzg77//LtQ+YsQIBg8erPj+5s2brF69msePH9OmTRumTJmCjo5ORYZa6b3s/466deuydOlSxfc5OTmsX7+eM2fOoKenh6enJx06dKjIUAVBeAuIhFwQBEEQBEEQVKjqDo0KgiAIgiAIQjUgEnJBEARBEARBUCGRkAuCIAiCIAiCComEXBAEQRAEQRBUSCTkgiAIgiAIgqBCIiEXBEEQBEEQBBUSCbkgCIIgCIIgqJDYqbMC3b17l6NHj5KQkMC7775LrVq1OH/+PIGBgdSoUYMJEyaU27W3bdtGgwYNcHV1LbdrVEZr167l2bNnAHz44YdoaWkVedyePXswMDCgW7duJTr/nj17uH37NgCenp40bNjwzQIWBEEQBOGtIxLyMrBv3z5u3rxZqN3Y2JjRo0cDcOvWLezs7Bg2bBj16tUjJyeHP//8k++//56RI0fSqFGjMotny5YtmJiY4OLiomj7+++/cXJyKveE/OnTp5w4cYInT57QvHlzunTpopQE79u3j+zsbMWugvnv3eDBgzE3N1ccd/fuXbZv386MGTOQSqVK77GmpiYmJib06NEDAwODV8bz66+/YmJigp2dHa/aA2vt2rWYmpoqEvKC11NTU6NWrVq0bdsWGxsbpefFx8cTExPDkiVL6NSpk0jIhUrr0KFDTJgwgbp16xIQEKC0Q29wcDB9+vQBIDIyUqnP+vv7888//xAWFoZUKsXCwoLx48fTt29fxTH//vsvy5YtIyIiglq1atG9e3dmzJhB3bp1K+4FCoIgVGFiykoZWL9+PStWrODhw4dKf/JHZiEvwbOysmLDhg0sWLCAunXrsm3bNt5//32WLl3KrFmzyiyeFStWcPDgQaW24cOH07lz5zK7RlG2b99Os2bNWLlyJaGhoSxevBgbGxtOnDihOGb9+vWsWbNG6fvPPvuMmTNnKp0rPDyczz77jMzMTMVx+e9xZGQkv/zyC2ZmZly5cuW1cQ0aNIgFCxagra1d7NdS8HpxcXEcOXKEdu3a8dlnnykd5+3tzc8//1zs8wqCqqSnp3P//n3i4uI4fPiw0mOrVq0iOzub+/fvK/3iOmPGDEaPHo2Liwvbt29n69atjBkzhpUrV7J7924Adu3aRf/+/enWrRu7du1i8eLFGBgY4O3tXYGvThAEoWoTI+RlxNLSkgULFhT52I4dOzh48CDx8fFKx9y6dQs9PT0WLFhA+/btFaPXaWlpHDx4kIcPH2Jubo67uzvq6upK50xPT+fQoUM8ePAAe3t7OnbsCOQl/jExMVy8eFFxrSlTpmBkZIS+vj4Ap06d4v79+4rR+3xHjhwhPj6e4cOHFzuOfLm5uUycOJGPPvqI2bNnK9rj4uKIi4t75XtnZWXFwYMHOX369Ct/aSj4Hsvlcjp06MBXX31VKLkojnv37nHw4EGMjIxees0X/01XrlzJlClT+Pbbb187Mi8IlZWXlxdr1qyhV69eAGRkZLBp0yYmTpzI/PnzFcft3r2bJUuWsH//fsXoOeT1i0GDBpGTkwPAhg0b6N27N5988onimLZt2yp9LwiCILyaGCGvAPHx8aSmppKVlaU0gi6TyUhOTubhw4ckJycDEBYWhoWFBcuXLyc0NJSvvvqK9u3bk5SUpDhfSEgILVu25Pvvv+fatWt8+umnihHm+Ph4srKySE1NVVwnJyeHv//+m/379wN5ifb48eOJj49XivP999/n1q1bxY7jxdeYmJhI69atldobNmyIg4PDK98fS0tLvLy8+Pzzz4v9nqqpqdGhQ4cipwq9zokTJ7C0tGT37t0cPHiQDh06cP369dc+T0dHB4lE8sqpL4JQ2b377rvs27ePp0+fAnkDBo0aNaJdu3ZKx61duxY7OzulZLyg/F/OtbS0uHPnDmlpaUU+LgiCILyeGCEvI3fu3Ck0Qu7o6Ei3bt2YOHEid+/e5ezZs0rHHD16lH79+vHpp58q2jw9PZk8eTLffvstkDfy3K1bN3755RfmzZuHXC5n1KhRdOjQgc2bNyt+6F26dAmAsWPH8s8//9CpUyd++umnImN1d3fH0NCQ7du3M2nSJAD+++8/IiIi8PT0LFYcL6pduzb29vZ88cUXJCUl0bVrV5o1a1bs92/OnDm0bNmS7du3M2zYsGI959q1azRt2rTY14C81/HBBx8wefJk/vjjDwDOnj1b5Nz6gv+mcXFx7N69m7lz51KzZs0SXVMQKhMzMzNcXFzYuHEjM2fOZPXq1UUuKA8NDaVDhw6vPd8XX3yBh4cHTZs2xd3dnfbt29OzZ09atWpVHuELgiBUS2KEvIxkZmYWmkOeP+pdXOHh4Vy9epWMjAz++OMPFi1axB9//EGNGjU4f/48kDdyHRISwqxZs5RGoNq3b1/s62hoaDBixAg2bdqkaNu0aRPOzs6YmZkVK46iHDhwAHd3d7766ivMzc0xNjZm5syZJCYmvjamxo0b8+GHH/L111+TnZ1d5DH5CfLcuXPp27cvISEh/Prrr8V+3fnnCAsL47333lO0derUqdBiTVD+N33+/Dk5OTmFRgEFoSqaMGECa9asITIykgsXLjBmzJhCx2RnZ7+0KlFB9vb23L59m/nz56OpqcmyZcuwtLRk6tSp5RG6IAhCtSRGyMvIq+aQF9f9+/cBSExMVCxmBLCxsVFU73j48CFAiUeGX+Tp6cmyZcuIiYnB2NiYLVu28MMPPxQ7jqI0aNCAv/76ixUrVnDnzh0OHDjAd999R0REBP7+/q+N6csvv2T16tWsWrUKMzOzQo/nJ8gZGRmEh4fTvn172rRpU6LXnf/ajI2NldpNTEwKHfviv+mNGzewsrLC0dGRfv36lei6glCZDBkyhPfff59p06YxYMAA6tSpU+gYMzMzIiIiinU+Q0NDvL29FQs5ly9fzgcffMDw4cNLXEpUEAThbSQS8kqkdu3aAIwbN462bdsWeUz+D864uLgif4gWV/v27WnevDl+fn60adNGaTFnceJ4FTU1NczNzfnwww9JT0/nq6++QiaTIZVKX/k8IyMjZs2axezZs1m2bFmhxwsmyImJidjb2/Pxxx/z119/FTu2Bg0aAPDkyROlqSePHj3CwsLilc+1tLTEyMiIixcvioRcqNK0tbXx9PRk+fLl/Pvvv0UeM3ToUGbMmMH169cLrQ15ndGjR/PBBx8QGxtbFuEKgiBUe2LKSiVia2tLs2bNWLBggdLCQZlMxo0bNwBo3bo1pqamhRLW/M1pAAwMDEhNTX3t9UaPHs2mTZvYtGkTvXv3platWsWO40UZGRlcvXq1UHt0dDR16tR5bTKeb/r06WhqarJw4cJXHlezZk0WLlzIqlWrirUgM5+5uTmmpqZs3LhR0Xb9+vUiY3/RvXv3SEhIeONPJwShMvjtt9+IiYnBw8OjyMcnT55Mx44dGT58OOfPn1f8X/Do0SPmzZvHsWPHAPj666/Ztm2bYopeeno6v/zyC9ra2jg7O1fMixEEQajixAh5GSlqUaeurm6J5lFKJBI2bdpEv3796NSpEz169ODp06ccP36cL7/8EktLSyQSCRs2bKBfv37cuXMHFxcXQkJC0NfXZ+3atQB07tyZBQsWYGRkhI6ODlOmTCnyemPGjGH27NmEh4crzScvThwvysnJYcKECejq6uLk5ISRkRFXrlzh4MGDiriKQ1tbm9mzZ/Puu+++9thBgwbRoUMHvvjiCw4cOFCs82toaPD7778zYsQI7t69S4MGDdi8eXORU3EK/ps+f/4cX19fnJycipxvKwhVjY6ODjo6Oi99XFNTkyNHjjBnzhyGDRtGSkoKEokEXV1dxo8fj6OjIwDDhg1j/vz5TJw4EalUSnJyMq1bt2b37t1Km30JgiAILycS8jIwYMAATE1NFfO78xWsVd2pU6dCu3GOGzeuUEnADh06cPv2bXbs2EFUVBQ2NjZ8/vnnSqOyrq6u3Lp1i23btvH48WPGjBnDwIEDFY9//PHHNG3alOvXryvKHg4fPrzQPOnmzZvzyy+/8Pz5c/r371/iOArS1dUlICCA8+fPc+nSJeLj4+nTpw9//vmn0useMGCA0qLNAQMGFDrXuHHjuHPnDunp6Whqahb5vHzLli3D19eX58+fK0b4X3Ts2DEyMjL48MMP0dLSYsiQIVy6dIm9e/diaGjIv//+y8WLF5We/+K/qaGhIX/88Qf9+/dXWky7Z88eQkNDi7yuIFQmvXr1IiYm5qUbZPXt27fQ4zVq1GDu3LnMnTuX+Ph4pFIpenp6Ss+zt7fH19cXgGfPnlGzZk00NMSPFkEQhJJQk4uiykI19ttvv/H48WMAfvrppxLt1lkc69atIyQkBMibbtOkSZMyPb8gCIIgCNWfSMgFQRAEQRAEQYXEok5BEARBEARBUCGRkAuCIAiCIAiCComEXBAEQRAEQRBUSCTkgiAIgiAIgqBCIiEXBEEQBEEQBBUSCbkgCIIgCIIgqJBIyAVBEARBEARBhURCLgiCIAiCIAgqJBJyQRAEQRAEQVAhkZALgiAIgiAIggqJhFwQBEEQBEEQVEgk5IIgCIIgCIKgQiIhFwRBEARBEAQVEgm5IAiCIAiCIKiQSMgFQRAEQRAEQYU0VB1ARcjNzeXBgwfo6+ujpqam6nAEoUTkcjnJyckYGxsjkYjfoQsSfVuo6qpD/3733XcJDAzk77//pn379or2nJwcli1bxu7du8nOzqZXr158+umnaGlpFeu8on8LVV1J+vdbkZA/ePCAxo0bqzoMQXgjMTExmJiYqDqMSkX0baG6qKr9e/HixVy9epVr166RnJys9Nhnn33Gxo0bWbp0Kdra2sycOZPQ0FB8fX2LdW7Rv4Xqojj9+61IyPX19YG8N8TAwOCVx8pkMg4fPoyHhwdSqbQiwqtwb8NrhOrzOpOSkmjcuLHiPhb+pyR9u7qrLvd7ZVCR72VV7t9BQUHMnz+f3bt307ZtW6XHHj16xJIlS9i4cSMjRowAQFdXF3d3d77++musra1fe/6X9e+qdq9XtXih6sVcWeMtSf9+KxLy/I+6DAwMipWQ6+joYGBgUKn+UcvS2/Aaofq9TvGRbWEl6dvVXXW731VJFe9lVevfKSkpjBw5kuXLl9OgQYNCj586dYqcnBz69OmjaOvWrRu6urocP368WAn5y/p3VbvXq1q8UPViruzxFqd/vxUJuSAIgiAIZWfatGl07dqVgQMHEhsbW+jxmJgYRYKUT11dnXr16hETE1PkOTMzM8nMzFR8n5SUBOQlWzKZTNGe/3XBtsqsqsULVS/myhpvSeIRCbkgCIIgCMW2ceNGLl26RGBg4EuPkclkRS7e1NLSemmSMnfuXGbPnl2o/fDhw+jo6BRqP3LkSAmiVr2qFi9UvZgrW7xpaWnFPlYk5IJQCikpKfj4+hEYHIqDrTVeo0ehp6ensvMIwtuosvefyh5faW3cuJHk5GRcXFyA/40CTpkyhZ49e7J8+XJq165NQkICOTk5qKurK5777NkzateuXeR5v/zySz7++GPF9/nzbz08PApNWTly5Aju7u6VcnrCi6pavFD1Yq6s8eZ/ylMcIiEXhBJKSUlhmJc3Zj2G0uydaQSHBDDMy5vtPutK9MO2rM4jCG+jyt5/Knt8b+LPP/9USjQeP35Mz549+eyzz3B3dwfA0dERuVzOlStXFKUQ79y5w5MnT3B0dCzyvFpaWkWOqkul0iKTrJe1V1ZVLV6oejFXtnhLEkvVLHoqCCrk4+uHWY+hWHfuiX6tOlh37olZj6H4+Pqp5DyC8Daq7P2nssf3Jpo1a4adnZ3ij5WVFQDm5uY0a9YMAAcHBxwdHZk9ezYymYzc3Fy+++47zMzM6NGjhyrDF4RKSSTkglBCgcGhNLFRHuFpYuNI0PUwlZxHEN5Glb3/VPb4KsLWrVuJi4ujTp061K1bl//++49du3apbARzyEhPXDz6Kv0ZMtJTJbEIwovElBVBKCEHW2uCQwKw7txT0RYdEoB9ayuVnEcQ3kaVvf9U9vjKUv369QkKCqJ58+ZK7c2aNSMoKIi7d++SnZ2Nubm5Sss7PnqeQP9f1yu17ftinIqiEQRlIiEXhBLyGj2KYV7eQN6IV3RIAFFHdzDfZ51KziMIb6PK3n8qe3xlSSqVYmdn99LHTU1NKywWQaiqxJQVQSghPT09tvusw1aaQtT2FdhKU0q1UKusziMIb6PK3n8qe3yCIFQuYoRcEEpBT0+PqZMnVZrzCMLbqLL3n8oenyAIlYcYIRcEQRAEQRAEFSpVQq6trV2qxwRBqNxu3bpFmzZtSvyYIAiV38GDBxkyZEiJHxMEofyVaspKZmZmke1ZWVnI5fI3CkgQVKW67qpXErm5uS/t3xkZGRUcjfA2Ev2w/OTk5JCVlVXkY+np6SqtgCIIb7sSJeTr1q0r8mvI+0F+6dIlWrZsWRZxCUKFqs676hVHYmIiu3btIi4ujsTExEL9WyaTsX//ftG/hXL1tvfD8hIbG8vRo0e5du0asbGxhfp3ZmYmPj4+uLq6qiZAQRBKlpB/8803RX4NeWWPTE1N+euvv8omMkGoQAV31QMUf/v4+r0Vi7KePn3KN998Q3Z2Ns+ePSvUv7W1tWnVqhW//fabiiIU3gZvez8sLzdv3uSbb74hIyOD1NTUQv1bV1cXe3t7Pv74YxVFKAhCiRLy2NhYAOzs7Lh69Wp5xCMIKhEYHEqzd6YptTWxcSRo+woVRVSxzM3NiY2N5e7du3z00Ufs2rVL1SEJb6G3vR+WFzc3N2JjYzlz5gzbtm1jyZIlqg5JEIQXlGpRp0jGherGwdaa6JAApbbquqveq5iamopkXFAZ0Q/Ll6urq0jGBaGSKnUd8oyMDDZv3syNGzeQy+VYWVkxcuRIUWVFqJLepl31iiM+Pp7Nmzdz+/ZtdHR0sLe3Z/DgwUgkolKqUH5EP6wYMTEx7Nixg6ioKGrVqkXHjh3x8PBQdViC8FYr1U/X8PBwLCwsmD59OqdOneLMmTNMnz4dCwsLwsPDyzpGQSh3Yle9/zl27Bjm5uZ89913XL58mX///RdPT0/atm3L06dPVR2eUI2Jflj+1q9fj4WFBQsWLODq1avs2rWLPn360KdPn5dWWBIEofyVaoR8+vTpODs7s3LlSvT19QFITk5m8uTJzJgxg0OHDpVpkIJQEcSueiCXy5kwYQJTpkzhhx9+QFNTE4CHDx8ybNgwfvzxRxYvXqziKIXqTPTD8pOQkMD777/PwoULmTx5suITr9u3b9O7d29WrlzJhx9+qOIoBeHtVKqE/OzZs0RFRSmScQB9fX0WLVpEs2bNyiw4Qagqqkvt5JiYGJKSkvj555+VahI3aNCAn376SVRhEN5IdeknVVVgYCCWlpZMmTJFqb1FixbMmjWLw4cPi4RcEFSkVFNWNDU1SUlJKdSekpKClpbWGwclCFVJfu3kYJleXu1kmR7DvLyL7COVnaamJpmZmchkskKPif4tvInq1E+qqpf97AbRvwVB1UqVkPft25exY8cSEhKiaLt+/TpeXl706dOnzIIThKqgYO1k/Vp1sO7cE7MeQ/Hx9VN1aCXWoEEDWrVqhaenJ/fu3QPyprHkrxMR/VsorerUT6oqJycn4uPjmT59umI9SE5ODnv37mX27NmifwuCCpUqIV+8eDG6urq0bt0aXV1ddHR0sLW1xcDAQMwvFd46gcGhNLFxVGprYuNI0PUwFUX0Znx9fYmMjMTU1BQDAwO0tbXp0qULrq6ufPHFF6oOT6iiqls/qYq0tbXZvn07/v7+1K1bF0NDQ7S1tRk2bBhTpkxh1KhRqg5REN5apZpDXqdOHQ4fPszVq1cJDQ1FTU0NKysr7Ozsyjg8Qaj8HGytCQ4JUOwqCFW7drKFhQVXrlzh4sWLREREUKNGDezs7GjRooWqQxOqsOrWT6qqTp06ER4ezvnz54mKisLIyAgnJydMTExUHZogvNVKXYcc8nbsFEm48LarjrWTJRIJzs7OODs7qzoUoZqojv2kqtLU1KRr16507dpV1aEIgvD/ip2Qr169utgnnThxYqmCEQRVK00ViPzayT6+fgRtX4F9ayvmV6HayYmJiWzbtq1YxxoaGjJs2LByjkio7N7GflJVxcTEFLsUcZMmTcQGQYKgIsVOyH/66adin1Qk5EJVlF8FwqzH0LwqECEBDPPyLtbGJFW5dvLTp0+L3b/Nzc1FQv6We1v7SVV1+/btYvdvNzc3kZALgooUOyG/e/duOYYhCKpXsAoEoPjbx9evWicR5ubmon8Lxfa29pOqqnv37qJ/C0IVUOo55Dk5OairqwN5u3/5+/tjbm5Ox44dS3SerKwsdu7cSXh4ON7e3piamio97u/vz5UrV5Ta6tWrx7Rp00obuiAUKTA4lGbvKN9XTWwcCdq+QkURqU7B/h0bG8vx48dxdHTE2tq6ROdJTk5my5YtxMbG8vHHH2NgYKD0+IYNG7hz545SW6tWrRg5cuSbvQCh3Ih+UrXJ5XLkcrlil86bN29y6dIlOnfuXOjnryAIFadUZQ+3bNmCl5cXkPeDu2vXrrz//vt07tyZDRs2FPs8mzZtolmzZqxfv57Zs2cX+Vu8v78/W7duLU2YglAiDrbWRIcEKLW9jVUgZs+ezc8//wxAfHw8Dg4OzJgxA0dHR86ePVvs8/z2229YWFjg5+fH7NmzSUpKKnTMhg0bOHr0aJnFLpQ/0U+qtrFjx7J582YgLxlv06YNM2fOxN7evtAvx4IgVJxSjZD/8ssv+PnlbeZw9uxZEhISiIuL48SJE8yaNYuxY8cW6zzm5uYEBgaSlZVF48aNX3qclZUVP/zwQ2lCFYRiE1Ug8n7BXrRoEQ8fPgRg69atWFlZcfz4cRYtWsTixYvp1KlTsc7Vtm1bbt68SUBAAMePH3/pcZ06dRL9uwoR/aTqiomJ4dy5c/j4+AB5xRpGjx7NP//8w9SpU1m1ahVz585VcZSC8HYq1Qj57du3adasGQDHjx9n0KBB6Ojo4ObmRmRkZLHP06FDB+rVq/fa46Kjo/ntt9/4+++/lXYHFYSylF8FwlaaQtT2FdhKU4q1UK06uX//vmKzEMjr3yNHjkQikZS4f3fr1g19ff3XHnf9+nXmzZvH2rVriYqKKnXsQsUQ/aTqKvizG/L69+jRowFK3L8FQShbpRohNzY25syZM3Tr1o3t27czb948IC9xftVId2nl5OTw8OFDAgICmD59Op999tkrV41nZmaSmZmp+D7/o3KZTIZMJnvltfIff91xVdnb8BqhdK9TS0uLieO9izyPqlTk9evWrcvjx4+JiorC0NCQQ4cOKfpaefRvNTU1UlNTefr0KWfOnGHq1KksXbqUSZOKXhz4Jn27uqvIfl0Z+0lZqsj3siLfN2NjY4KDg0lMTCQuLo7w8HDFXgPl9fNbEITiKVVC/vHHH9OvXz9q1qxJnTp16Nkzb5W9n5+f4rftsjJz5kxatWql+H7fvn0MGDCAnj174urqWuRz5s6dy+zZswu1Hz58GB0dnWJd98iRI6ULuAp5G14jVP3XmZaWVmHXqlGjBhMnTsTGxgYtLS1cXFwUO3SWR/9esmQJlpaWiu8XLVrEhx9+iIeHB02bNi10fFn07equqt/vlUlFvJcV2b9btWqFk5MTTZs2JTs7m4kTJ6Kjo4NcLmfLli0sX768wmIRBEFZqRLyadOm0b59e+7du0ePHj3Q1NQEwNTUlKFDh5ZpgAWTcYD+/ftjbGzMyZMnX5qQf/nll3z88ceK75OSkmjcuDEeHh6Fqjy8SCaTceTIEdzd3ZFKpW/+Aiqht+E1QvV5nUUthixPS5YsYciQISQnJ9OrVy8g7710c3Nj+PDhZXqtgsk4wOTJk/nkk084f/58kQn5m/Tt6q663O+VQUW+lxXdv/fs2cPRo0fR0NCgR48eADx//pyPPvoIJyenCo1FEIT/KXXZQ0dHRxwdHZXaxo0b98YBFYdcLn/lqIKWlhZaWlqF2qVSabH/cy3JsVXV2/Aaoeq/TlXE/uKW2lKptEI3/HpZ/y6Lvl3difei7FTEe1nR/1ZSqZTevXsrtdWuXVuUGhUEFSvVos6KkpOTQ1BQkFLbvn37iIuLo1u3biqKShCEsvDs2bNCizhXrlyJmpoanTt3VlFUgiAIglDxSj1CXhauXr3K7t27FR/ZrVu3jpMnT9K1a1e6du2KXC7n/fffx9DQEGtra6Kjo9mzZw+ffPKJ2N5XECq548ePc/r0acX+AgsXLsTAwIAhQ4Zga2uLTCZj0KBBNG/eHHNzc8LCwjh+/Dh//PGHYt66IAiVV0REBJcvX0ZbW5sOHTrQsGHDQsc8efKE48ePk52dTdeuXWnUqJEKIhWEyk+lCXk+AwMDvv/++0LtGhoanD9/nuPHjxMUFISlpSWzZ88uNK9cEITKy9TUtMj+3aBBAwICAvj333+5ceMGI0aMYMWKFaLSgyBUcjk5OQwfPpwbN27g4ODAkydP8PT0ZN68eUyfPl1xXH5ZZEdHR7S1tZk8eTLr169n2LBhKoxeECqnEiXka9eupU+fPtSvX79MLm5nZ4ednd1rj+vevTvdu3cvk2sK1V9KSgo+vn4Eh4bTq3tnUlNTMTQ0VHVYldrTp085fvw4PXv2pGbNmmVyzuL0Ww0NDfr160e/fv3K5JrC6+X3j8DgUBxsrfEaPUrUEK/mIiIiuHnzJt27d6dGjRpvfD65XM6kSZMUi74B/vjjDz755BNF5Zbs7GzGjRvH+PHjWbx4MQA//vgjEydOFIuwBaEIJZpDvmrVKkxMTGjfvj0//vhjofndgqBqKSkpDPPyJlimh+ngvEWIXpOnkpKSouLIKjeZTMZPP/1E3bp16d69OwsXLuTWrVuqDksoYwX7R7N3phEs02OYl7foH9VcUlISM2bMoHbt2vTv35+///6b+/fvl/p8GhoaSsk4oJiukp2dDeTt4h0bG8v777+vOGbq1Lz/iw8ePFjqawtCdVWiEfLz58/z5MkTDhw4gL+/PwsWLEBfX5++ffvSr18/3NzcRC1gQaV8fP0w6zEU6849UcvNhkRo2nUAPr5+TJ1c9GYzQt4P0+DgYKKjo/H398ff35+vv/6axo0bK0awXV1dRfWOKq5g/wAUf4v+Ub05ODgQERHBjRs38Pf3x9fXlw8++AAbGxtF/27Xrh1qamolOu/Zs2e5fv06sbGxbN26leXLlytGvkNDQ9HQ0FBaD1KnTh3q1atHaGhokecr7sZfpd24SVMqRZKbXaitvDdnqoqb8VW1mCtrvCWJp8RzyOvWrcu4ceMYN24cMpmM06dP4+/vzyeffEJMTAzdu3dXdHAxF1SoaIHBoTR7Z5pSW2MrO4J2rFRRRFVLkyZNmDZtGtOmTSMtLY2jR4/i7++Pl5cXqampeHh40K9fP/r06UOdOnVUHa5QQkX1jyY2jgRtX6GiiISKZGlpiaWlJZ999hnx8fH8+++/+Pv706dPHzQ0NOjTpw/9+vXDw8MDfX39157v/v37BAUFERkZSU5OjtI0lKSkJGrWrFkoyTcyMnpp7fWSbvxV0o2bZk4eD7GXlNosJo/nwIEDJTpPaVXFTbuqWsyVLd6SbPz1Ros6pVIpbm5uuLm5sWjRIm7dusW+ffvYunUrM2bMICsr601OLwgl5mBrTXBIgGLkDyAm7Cr2ra1UGFXVpKOjw4ABAxgwYAAAgYGB+Pv7s2zZMn799deXjnIJlVdR/SM6JED0j7eQkZERo0aNYtSoUeTk5HD+/Hn8/f357rvvWLduHfv27XvtOUaMGMGIESMA8PHxwcvLCycnJ5o3b06NGjWKnAqVlJT00k/Si7vxV2k3bvIY9A695/yl1Hbwuykc3r2t2Ocojaq4aVdVi7myxluSjb/KtMpKy5Yt+eSTT/jkk09ITEwsy1MLQrF4jR7FMC9vAEyt7QC4d3Iv8/5ZpbqgqgkHBwccHBz47rvvRP+uogr2jyY2jkSHBBB1dAfzfdapNC5BtdTV1XF1dcXV1ZVff/21VP178ODBjB07loCAAJo3b06LFi3IzMzkwYMHGBsbA3mjhY8fP6Z58+ZFnqOkG3+VdOOmLJmMXIlGobaKSuCq4qZdVS3myhZvSWIpt42ByqpSgyCUhJ6eHtt91mErTeHe7jUA+KxcIapIlDHRv6umgv0javsKbKUpbPdZJ/qHoOR1/fvBgwdkZGQotZ09exYAc3NzIG+3X319fXx9fRXHbN26FblcXmhBqCAIlaQOuSCUJT09PaZOnoRMJuPAgQPo6uqqOiRBqDTy+4cglNadO3fo1asX7u7uNG7cmNu3b+Pj48PUqVNxcnICQFdXl4ULF/L+++/z4MEDtLS0WLp0Kd9//71ixFwQhP8RCbkgCIIgCMXWqVMnDh8+zLZt27hz5w5NmjTh1KlT2NvbKx03ceJErK2t2bNnDzKZjD179uDm5qaiqAWhcit1Qp6Tk4O6ujoACQkJ+Pv7Y25uTseOHcssOEEQVKNg/46NjeX48eM4OjpibW2t4sgEQXgTcrkcuVyORJI3Y/XmzZtcunSJzp07Y2pqWuzzNGjQgA8//PC1x3Xs2FHkBYJQDKVKyLds2cKePXvw9fUlJyeHrl27EhUVRVpaGmvWrGHs2LFlHacgCBVk9uzZqKmp8d133xEfH4+DgwMymYz09HSOHj1Kp06dVB2iIAilNHbsWHr37s3o0aO5efMmbdq0QUdHB7lcTkBAAM2aNVN1iILwVirVos5ffvmFb775BshbyJGQkEBcXBy7d+9m/vz5ZRqgIBRHSkoKK1auYtIHM1mxcpXYebCUcnJyWLRoEZ9//jmQtwjLysqKZ8+e8fPPPyu2wBaqLtFX3l4xMTGcO3eO0aNHA7B69WpGjx7N8+fPGTlyJKtWiWpUgqAqpUrIb9++rfgt+vjx4wwaNAgdHR3c3NyIjIws0wAF4XVeth14amqqqkOrcu7fv4+hoSHa2tpAXv8eOXIkEolE9O9q4GV9RSTlb4eCP7shr3/nJ+eifwuCapUqITc2NubMmTNkZ2ezfft2xSKN6OhosTunUOEKbgeuX6sO1p17YtZjKJu3bX/pc8QoYdHq1q3L48ePiYqKIj4+nkOHDon+XY28rK/4+Pq90XlFf6oajI2NCQ4OJjExkfDwcMLDw3F2dgZE/xYEVStVQv7xxx/Tr18/jI2Nkcvl9OyZt+ubn5+f4rdtQagogcGhNLFxJFeeS2paKgmJidQxtyTwWkiRx4tRwperUaMGEydOxMbGBnNzc1xcXGjRogUg+nd1EBgcSmNre0U/SU1LpbG1PUHXw0p9TtGfqo5WrVrh5ORE06ZNcXJyYuLEiYr541u2bGHUqFGqDlEQ3lqlWtQ5bdo02rdvz7179+jRoweampoAmJqaMnTo0DINUBBex8HWmmvXr9DQth3qWjVQr6HL3YsnCb8aRF/3boWOLzhKCCj+9vH1E/WZgSVLljBkyBCSk5MVG3jIZDLc3NwYPny4iqMT3oS1RQv+O38SK7f+qNfQRZYtI+z8Sdq1LHrnxOIQ/alq2bNnD0ePHkVDQ4MePXoA8Pz5cz766CNFDXFBECpeqUbItbW1cXR0ZMiQIRgYGCjax40bR506dcosOEEoDq/Ro7jk9zcR/50hMzWZm2ePEnJkD45DvYs8Pn9EvaAmNo5vNEpYXdy6dYs2bdrQtWtX+vfvr9j2VyqV0rlzZ+zs7FQboPBG5PJcAvy3EHHxFGmJz4m4eIoA/y3I5bmlPqfoT1XHwYMHGTFiBL1798bd3R01NTUAateuTc2aNRkyZIiKIxSEt1epEvLMzMwi27OyspDL5W8UkCCUlJ6eHm2srUl7EsfZdUvIin/CmDlLMLPvUOTxDrbWRIcEKLVFhwRg39qqIsKt1HJzc1/av1/cKluoesJuRTLq24VkxT9R9JVR3y7kxu07pT6n6E9VR05ODllZWUU+lp6erkjQBUGoeCWasrJu3boiv4a8H+SXLl2iZcuWZRGXIJRIeyd7gmV6dBszRdEWFXCOVo10Ch3rNXoUw7y8gbyRvOiQAKKO7mC+z7oKirbySUxMZNeuXcTFxZGYmFiof8tkMvbv3y/6dxXnYGtN8J1wnId6KdpCTx96o+RZ9KfKLzY2lqNHj3Lt2jViY2ML9e/MzEx8fHxwdXVVTYCCIJQsIc+vPf7i15D3kbapqSl//fVX2UQmCCVQVFIQe2oveI4sdKyenh7bfdbh4+tH0PYV2Le2Yr7POvT09Co46srj6dOnfPPNN2RnZ/Ps2bNC/VtbW5tWrVrx22+/qShCoSyUR/Is+lPld/PmTb755hsyMjJITU0t1L91dXWxt7fn448/VlGEgiCUKCGPjY0FwM7OjqtXr5ZHPIJQKkUlBXNXruDUqVMvPV4sOPsfc3NzYmNjuXv3Lh999BG7du1SdUhCOSiv5Fn0p8rNzc2N2NhYzpw5w7Zt21iyZImqQxIE4QWlqrIiknGhMnoxKZDJZCqMpmoyNTUVyXg1J5Lnt5erq6uYliIIlVSxE/LVq1cDMHHiRMXXLzNx4sQ3i0oQhAqTmJjItm3bMDQ0xN3dnW3btr30WENDQ4YNG1aB0QmC8CZiYmI4dOgQTZo0wdLSkkOHDr302CZNmuDh4VGB0QmCkK/YCflPP/0E5CXb+V+/jEjIhbKUkpKCj68fgcGhONha4zV6lJifWoaePn3KTz/9hLm5Ofb29q/s3+bm5iIhfwPiXhYq2u3bt/npp59wc3PD09Pzlf3bzc1NJOSCoCLFTsjv3r1b5NeCUJ7ydwE06zE0bxfAkACGeXmzXSwaKzPm5uaif1cAcS8LqtC9e3fRvwWhCijVHHJBqCiv2gXQa/QoMdooVBkVuaOlGIkXBEGoWkq1MRDA0aNH6du3L82aNaNZs2b069eP48ePl2VsgsB/gdeoY25JQmIiqWmp5MpzaWLjyOWgYIZ5eRMs08sbbZTpMczLm5SUFFWHXOXJ5XL8/Pzo3r07TZo0wcLCgpEjR3Lt2jVVh1alVdSOlqmpqQwePZZLSRrU6TmGS0kaDB49VvQNAcjbwG/58uW4uLjQqFEjbGxsmDRpElFRUaoOTRDeaqVKyFesWEGfPn0wMjJixowZzJgxA0NDQ3r16sXff/9d1jEKb6mUlBQCggK5GxKEeg1dZEiIT0jg3vUrZKanKkYb9WvVwbpzT8x6DMXH10/VYVd5M2fOZPLkybRq1YpZs2YxadIkUlJSaNeuHceOHVN1eFVWRe1ouX6jL3U7eNDc1QMD4yY0d/WgbgcPVq9dX6bXEaqmIUOG8MMPP9CxY0e+/fZbvLy8CAsLw87Ojhs3bqg6PEF4a5VqysrPP//M2rVr8fT0VGrv3bs3s2bN4r333iuT4IS3m4+vH+1GTCLg0B7UpVo0bu3A3cALhOxaRxtr66JHG7evUFG01UNCQgJ//vknFy5cwMnJSdH+6aef8u233zJv3jzc3NxUGGHVVVE7Wh44chSHqT8g1dQCQKKpRVMHZ/Yu+YaZH75fptcSqparV69y5swZrl+/TpMmTRTtX3zxBaNGjWLJkiWsWCH+DxUEVSjVCHlycjL9+/cv1N6/f3+SkpLeOChBgLyP+M0dXRgzZwlZ8U84u24JaU/isLOxob2TfYWMNr5t0tPTqVu3rlIynk/07zeTvymPrTSFqO0rsJWmlMuCztzsHB6EK08vehB+jdzs7DK9jlD1JCcn06ZNG6VkPJ/o34KgWqUaIXd0dOTQoUO88847Su2HDh0q8ge5ILxOUYvQHGytCQ4JwLpzT5yHegEQevoQtuZ1K2y08W3TsGFDJBIJwcHB2NraKj0m+vebe92mPGWxGLNvL3dW+P2Dmpo6jVs7EHM9kItb/2HKyCFvGr5QxdnY2HDr1i3i4uJo2LCh0mOifwuCahU7Id+8ebPia1dXV8aOHcuRI0do27YtcrmcK1eu4OPjw+eff14ugQrV18vKwa1bsYw9Uz8ACifd5bUF+NsoOTmZ/fv3K77v3bs3Xbp04d1338Xa2pqMjAxOnTrF7t27X7spmFB6ZVUW0dtrDP6Hj3Iv4AyRF46joSmlce2aTHp3fDlGL1RWDx484PTp04rv27ZtS9u2bRk/fjzm5uYkJSXh7+/PpUuX8PLyUmGkgvB2K3ZC/sEHHyh9r6ury86dO9m5c6dS2/Lly5k9e3bZRShUey8rB7dr775XJt2vGm1MSUlho99mGtary5p16xkzaqRI1l/i0aNHhfq3uro669crLwLU19fnzz//FD+0y0lZlUXU1dVlt9/GvH5zPQz71lYMHtBflEF8S4WEhBTq30ChueJSqZS1a9fSo0ePigpNEIQCip2QP336tMwvLpPJ2LNnD3/99Rfh4eFs27aNjh07Fjpu69atLF68mEePHtG6dWt++eUXLC0tyzweQTUCg0Np9s40AHLluaSnp2PYpAV//jSdS1eCaO9kz8K5PxY7gcgfaWzuPpSGQIhMV2zA8grNmzcvl/6dlpaGn58fq1atIjY2litXrtCgQYNCxy1dupT169eTmJiIs7Mzc+fOxdjYuMzjqYwKTlGJuBOJ++fzlR4v7ULlgr+s5vcHU7chNOjnzblrl1nZsy8Hd2wp8t9DqF48PDzKpX9XF/fuRuHi0bdQe/1ahuzcvEkFEQlvq1LXIS8LX331FX5+fowdO5b79++TmZlZ6Jhdu3bh6emJl5cXO3bsQF9fny5duvDkyRMVRCyUh/xycLnyXOITEpChRuztMAzMrAiMjCYgRaNENcbzRxotXfKqgVi6uImSiCowfvx4zp07x/Dhw7l//z7ZRSwqXLBgAV9//TWzZs1i8+bNPHjwgB49epCVlaWCiCtWfqKcX0ufOiaEnD9JrjxXcUxZLFT28fXD1G0IDW3boWVUF+seA7EZ7I3HwCGiNrnw1pNoSOn/6/pCfx49T1B1aMJbRqUJ+bx589ixYwfdu3d/6TE//vgj48aNY8qUKbRp04Z//vkHuVwuSjNVEykpKWRkZHBs9UIu7d9BRmoqty+c5OrB7fT88BscBowmLSmpRAl1RW3AIryar68v//zzDw4ODkU+LpPJmDt3Ll999RXDhg3D0dGRjRs3cvPmTbZv317B0ZZcSkoKK1auYtIHM1mxclWJk9uCU1T0a9Wh3/tfEuC/hcDDe0l+/pTQ04eIOroDr9Gj3ijOwOBQ6ja3Ql2rBlJNLSQSCaYOHdGo1UD8kioIglBJqDQhV1dXf+XjSUlJBAUF4e7urmjT0NDAzc1NaZGKUDXljxDeUq/D6F9WEnX1Eps+e5dn0XcY+t1itHT0aNzagbg7N0uUUFfUBizCq72uf4eEhPD8+XOl/l2/fn3s7e0rff9+cXS7NDvFvviLo5aOHqO+XcjdIzvKtCyig601Udcuo64hVbTFXA/ErLWT+CVVEAShkihV2cOKcv/+fYBC8xzr16//ym28MzMzlaa/5NdWlclkyGSyV14z//HXHVeVVZbXuNFvM83d/ze1ZPDM7wi7cIL0+OdoaqgjS0nk3PplJD26z9HVC2mgnsXUGZ/QxsaSke8MQ1dXt8jzjhr+DgcmT0VTAibGOtw6f4zYU3uZu3KFyl9zaVTFmIsjNjYWKLp/5/f9F71J3y5LL967Np3cUFfLax/5zjA2b9vOtZAbr7xXHdvYEBIaoDgHwNOocEYOG8wE73GKtuK+rvzjEhMT2b5rt+L6/fv0Zr3XeKRSDZq0acf90GuEH9mFnVsf7PTqVdv7601U5P+R4v2vnIqaWy7mlQvlqVIn5Lm5eXMpNTSUw5RKpeTk5Lz0eXPnzi2y0svhw4fR0dEp1rWPHDlSgkirJlW/xob16tIQ4O4FRVtL81pALXgcBEDrIe5FPvfUqVOvPPdEz5GKr7sb69Ddc+Rrn1NZpaWlqTqEcvGq/v2yOeRl0bfLQlH3rkkjHUCHU6dO5T3evS7w8nv1Vec4cOBAqWM7d+6c0vUDAgL4cub/V9lIicChqS79J41RHP8m16ruKuL/yOrav6u6/LnlBe37YtxLjhaEN1fshHzZsmXFPmlRJZZKo27dvB8oL64Qf/r0qeKxonz55Zd8/PHHiu+TkpJo3LgxHh4eGBgYvPKaMpmMI0eO4O7ujlQqfeWxVVVleY1//r2K61k1aObkilSqgXYNbW6eO05y0Eli78dh0nUAFh27EnxkL3p1G9KsbSek5KKjo8ONs0dJDjqJjq7+S0chK8vrfFPlvXteQkICGzduLNaxRkZGeHp6lsl1C/bv+vXrK9qfPn2Kubl5kc95k75dltasW0+ITFdpdPvGuWMkB55A36FboXYbaSoTvMeRmpqqNHrer3cv/A/+S3BoOLbWrZTu4xePfdWnQvC/+/34gzRaOhe+fv7IfVHXEpRV5P8d5d2/7969i7+/f7GONTMzo2/fwhVHBEEof8VOyP/66y/F17m5udy4cQOJRKIoT/bgwQNyc3OxtLQss4S8Xr16NG3alHPnzjFw4EBF+9mzZ+nfv/9Ln6elpYWWllahdqlUWuz/XEtybFWlyteYkpLCvkOHiXmWiEyigXGrNtw78S9PLh5ml+8GPpr1Dc06dEHfqDYP70bg2q0vapraZGakoqUmQaexOef9t/POrE+5FhLA7vETXzrftqr/W5Z37PHx8Ur9Oz09nTt37iCVSjExMSEtLY1Hjx6hoaFB7969yywht7W1RUtLi3PnzmFtbQ3kjRYGBQUxalTRCxnLom+XhTGjRjLMy5scufKmVQ3rN6CRtSNyyf/+a21k7Ujg9hWMycxk5PiJmPUYSpMh7+Xdtx/OLPK+TUlJKXzsK+7xgowt7Yq8/pRJE5kyaWLZvhHVXEXcV+V9/ujoaKX+nZiYSGxsLNra2jRq1IjExESePn2Kjo4O3t7eIiEXBBUp9qLOkJAQxZ8RI0bQu3dvoqOjiYmJISYmhujoaHr37s3IkSNff7ISeP/991mzZg3Xrl0jNzeXJUuWEB0dzeTJk8v0OkLF8vH1o0WvEYz7+U9unTrEtm+nce3fnbi5OqOnp6e0MNPYvBUx1wPJyZYh1dAgPT2duFthtGrfBf1adbDu3FOUNXwDZmZmSv27Xbt2TJ48mcePH3Pnzh0ePnxIWFgY1tbWjBkz5vUnLCY9PT3GjRvHb7/9RkxMDDKZjK+//hotLa2XJuTlqSRVU/J3irWVpigtwGzn0OalC4pfrKryqvu2JMe+KCbsapHXF95OnTt3VvTta9euYWJiwpw5c4iPjyciIoInT55w/vx56tWrx9ixY4t1zszMTP766y8cHBzQ1tamcePGfPrpp6Smpiodl5iYiJeXF/r6+ujo6DB48GAePnxYHi9TEKq8UlVZWb9+PatWraJRo0aKtkaNGrFq1apCu/u9yrZt2zAxMaFt27YAvPPOO5iYmLBw4ULFMZ988gnjxo2jQ4cOGBgYMG/ePDZv3iw2BqriAoNDqd+sFdvmfYlF1z6M+nU1TkO8WOu7hZSUFLxGjyLq6A5CTx+iZfvOXNiyirBj+8hJT+X6iYNcO7gDx96DFecTZQ3LRkZGBocPH2bFihUYGhoq2i0tLfn9999L1L/nz5+PiYkJ77zzDpC3ZbeJiQm7du1SHLNo0SLatWuHubk5hoaGHDhwAH9/f2rVqlVmr6k4SlM1JX/znZVLFzF18iT09PSU7tsXSxeWpBznm5TuvHdyb5HXF4SbN2+SkZHBt99+i7a2tqK9Y8eOzJo1C19f32Kd58SJEwQHB7NmzRoSEhLYs2cPu3bt4r333lM6zsvLi+DgYK5du8bt27d59uwZgwYNQi6Xl+nrEoTqoFSLOuPi4orc5CM7O5sHDx4U+zx9+/YtcmfOgnNBJRIJCxcuZN68eSQmJlKnTh3U1NRKE7ZQiTjYWrPVbyVt+gzHsrMHAC06dkctW6bYKny7z7q87b8PbGDKyCGoqeUQtuNv5MmJtOs7FC2d/310L0YBy8ajR4+QyWTk5uYikSj/vl7S/v3ee+8VOdJdMNnW0dHB19eXNWvWkJaWRu3atUsf/Bsoq23r80fOfXz9CNq+AvvWVsz//2kmDrbWBIcEKM4NL79vS3JsodeycgV+W7cVur4gvOxnN5Ssf/fq1YtevXopvndwcODTTz/lk08+Ufzfcfv2bfbt28fhw4dp1qwZAIsXL8bBwYFz587RqVOnN39BglCNlCoh79atG97e3vz999+0bNkSgFu3bvHee+/h5ub2mmf/j46OTrErI2hqar5yIadQtXiNHsUfK1bSYfRUcnNzycmWkZOZTksnZy5vWQ4rVxEYHIqDrTUL5/6olFDkj2ZKtbSV5u/O91mnuhdUTTRp0oR69erh7e3N/PnzadiwIQCXL19m5syZJZpfamBgUOyFljVq1KBGjRqlirksBAaH5u2WWUBZbFsP/5sK81/gNQKCApFlZmDu6PLK+9Zr9CiGeXkr4ijJPa6rq1uiXyKEt4ejoyPR0dF8/vnnfPXVVxgaGiKXyzly5AizZ89mzpw5pT73o0eP0NfXV/wif/78eSBvykw+e3t7DA0NOX/+vEjIBeEFpUrIV69ezejRo7GwsMDAwAC5XE5ycjLdunVj1apVZR2jUA3p6ekx9V1vroYEoNuxK1INDQwMDQk7fZgrAVfQsnHOmzoQEsAwL2+lxWyvGoUU3oyamho7duzA09MTY2NjjIyMyMjIICMjgxEjRrzRD+zK7E1GpF8l/5dHsx5DaTlqOlo2V7jk9zc5N6/QztHupfetuMeF8mBoaMi2bduYNGkSCxYsoFatWiQnJyOXy3n//fdLvTYrMjKSRYsWMXPmTEXbo0ePMDAwKLQIu169ejx69KjI8xR3n4HS1onXlEqR5Cp/QqCtpVWo7WXtmlJpqerGV5a9P0qiqsVcWeMtSTylSsiNjY05efIkQUFBhIXlzWm0srLC3t6+NKcT3lITx49jmJc3NWrkjXTfuHKWS35/027k5NdOHXhxFFIoO23atCE4OJgLFy4QERFBjRo1sLOzU3waVh29yYj0q7w4FcamSy/U1NSwlaa89v4V97hQHjw8PLh9+zZnz57l7t27GBkZKdZ3lMajR4/o06cPHTt25Ntvv33t8bm5uS+ddlrSfQZKWid+5uTxEHtJqW3+D18XantZu8Xk8W9Ut1/Ve3+URlWLubLFW5J9Bt5oYyB7e3uRhAuvlJKSgo+vn2L6idfoUa8c6U63tsbc0UXpHKWdOiCUnkQiwcXFBRcXl9cfXA2U5Yh0wXv+1q1bdPvoZ6XHxf0sqJqmpibdu3d/4/M8fvyY7t2706RJE3bv3q20yVfDhg1JSkoiIyNDaQHpkydPCu3Om6+4+wyUtk68x6B36D3nL6W21RMHMHH13kLHFtV+8LspHN69rdjXe9N4VamqxVxZ4y3JPgOlTsivX7/Ohg0buHPnDjt27ADAz8+PgQMHVuiOeULlVfDj+ldNP1EeBVxVLlMHhJI5efIku3btIjc3l6VLlyKTydi8eTNeXl6qDq3clMWI9Iv3vOzyOfx+/JjJi9YrFiGL+1lQtZ07d3LkyBFMTEz4+uuvef78OadPn2bQoEHFPkd+Mt6wYUP27t2rlHQDODs7A3n/l+QvAA0ICCAxMVHx2ItKus9ASevEZ8lk5EqU056MzMxCbS9rz5LJ3ijZq4p7YlS1mCtbvCWJpVRlD48cOUL79u2JjIxk586divYbN26wZMmS0pxSqIZKU0v5VWXjhIqxYsUK+vfvT0REhOLjP6lUyr59+9i9e7dqg6vkXrznHTz649hvBP7L54r7WagUPv30U6ZOncqNGze4cOECkLcD7y+//EJwcHCxzvHs2TN69OhBvXr12LVrF1KplOzsbKUKLubm5gwZMoRPPvmEsLAwIiMj+eCDD3BxcXlpQi4Ib7NSJeRfffUVa9asUUrGAUaPHi0WdQoKBWsp58pzSU1LxbBJC7bt3vfS+s4FN1y55buYpMtHaFi/AT6+fq+sCS2UDblczldffcXJkyeV9gMA0b+LIzA4lMbW9qSmpZKQmEh6ejrWHbug9vS+0gZCJZ0KU5JNiwThZeLi4li9ejWBgYF89tlninY1NTWGDx/OmjVrinWe/fv3ExYWxunTpzEyMkJbW1vxp+CCzXXr1tGxY0c6d+6Mo6MjTZs2VdqHoDwNGemJi0dfpT8P4uIq5NqCUBqlSsjDwsIUW9kXXJxhYmJCTExM2UQmVHn5u23mynOJT0hAhoQHkTeQ12n0yk1X8jdYiXv8CIO27rQcNb1YG7UIby42NhZ9fX0cHR0LLbwS/fv1rC1aEHL+JDIkqNfQRYaE0AunGNC7p9IGQiVRmk2LBKEo4eHhODg40KhRozfq32PHjlWMiL/4p379+orj9PX1Wb16NU+fPiUhIYHNmzdXWPniR88T6P/reqU/OTk5FXJtQSiNUiXkBgYGig0ECnbq//77D2Nj47KJTKjy8qefBB7eS0ZaGhEXTxF8cAf93v/ytVNX3mTrcKH09PT0iI+PJzMzs9APbNG/X08uzyXAfwsRF0+RlviciIunCPDfglyeW+pzir4glJWX/ewG0b8FQdVKlZCPGDGC6dOn8+TJEwBycnI4duwYEydOZPTo0WUaoFB15U8/iTq8nbPrlpAV/4Qxc5agpaP32m3A32TrcKH0jIyMcHFxYebMmSQnJwOQlZXF1q1b+frrr0X/fo2wW5GM+nYhWfFPFPf8qG8XcuP2nVKfU/QFoazY2dkhl8uZN2+eot53amoqy5cvZ9myZUXurCsIQsUoVZWVX375hVGjRlG/fn3kcjl6enpkZGQwcOBAvv/++7KOUajC9PT0GDlsMMEyvRJVTimvjVqE11u7di2DBg3CyckJiUSCrq4uOTk5fPjhh4wdO1bV4VVqDrbWBN8Jx3no/6rRhJ4+9Eb3regLQllRV1dn586dDBo0iMjISKRSKQYGBqirq/Prr7++NWVOBaEyKlVCrqOjw549e7h+/TpXrlwhNzcXBwcHUZNcKNKLm67cu36Fi5tWEKKvx+btu+jt3h1t7RqE3rytqFVeXhu1CK/XsGFDLl68yIULFwgLC0MqleLs7EyLFi1UHVqZelWN/NI+J/++lcvl1G1uRdTV/wjdt4nvd2wpdZyiLwhlydramhs3bnDq1CkiIyPR09OjS5cuNGrUSNWhCcJbrVRTVvK1bt2a8ePHM2HCBJGMCy9VsHJKmM/vHFzyE1laeuhaOFKvUx8Wr1zLuacyzIZNUSxYAxTPeZPqFELpqKmp4ezszMSJExk3bly1TMZftVCyqKomxVlcqaenx7oVyzjvs4z9i+eQHv8Ux6HeeE/9gIcPH5aqUkrB/iP6glAWNDQ0cHNzY/LkyYwePVok44JQCRR7hHzZsmXFPukHH3xQqmCE6iu/csrfazfQadKnmDp0JPZ6IAH+m3Ed+z6y9DTUa+gqPpb38fVj6uRJShu15CdJJRnRFF4vISGBjRs3FutYIyMjPD09yzmi8vfilvYF77v8EekXN7Tq1b3bS59T8D7dtXcfLmM/VJpiAtB76Ag6jJ6C2bApXLpygUWu3Zg6fiyT3h3/2vu4LDYtEt5Od+/exd/fv1jHmpmZ0bdv33KOSBCEohQ7If/rr/9tN5ubm8uNGzeQSCSKVdkPHjwgNzcXS0tLkZALRfLx9cOy32isu/VFTSLBsktPQM7TmCgS4mKQ/f+mEkVtLV6cXT+F0omPj1fq3+np6dy5cwepVIqJiQlpaWk8evQIDQ0NevfuXS0S8sDgUJq9M02pTXHfvSRZ37PfF48vfi/6Oa85d/yjOKwHjMHS1Z34hASau3og19Bg75XzHDoh7mOh/ERHRyv178TERGJjY9HW1qZRo0YkJiby9OlTdHR08Pb2Fgm5IKhIsaeshISEKP6MGDGC3r17Ex0dTUxMDDExMURHR9O7d29GjhxZnvEKVVhgcCgmNg7kZMsUbSatHYi+foXaJmZINfJ+PyxqwZoo/VZ+zMzMlPp3u3btmDx5Mo8fP+bOnTs8fPiQsLAwrK2tGTNmjKrDLRP5NfILyr/vXlbVRJ6T+9LnvO7cUdcuY9amLenp6ahr1UCqqUUT27aAmriPhXLVuXNnRd++du0aJiYmzJkzh/j4eCIiInjy5Annz5+nXr16YtG2IKhQqeaQr1+/nlWrVinNO2vUqBGrVq1i/fr1ZRacUL042Frz+HYosvQ0srMyyc3N4W7gJWJDgoj47zSXdmzg6pE9RW4tLkq/VYyMjAwOHz7MihUrMDQ0VLRbWlry+++/V4v+nZKSQmZmFsdXL2TH/K95GntPaUv7lyXrA/v2IuroDkJPHyL5+VOl5xSUX3+/4HHZ8Y94EhGGTJaNuoYUgJjrgTRsZiHuY6HC3Lx5k4yMDL799lu0tbUV7R07dmTWrFn4+vqqMDpBeLuVKiGPi4sj+/+nFxSUnZ2t2HRAEEB5cVxGRgaxJ/Zw+/wxkp7EEXxoF0f/+pVuE2Yy5ItfkOoZcHzNIurWro2Pr5/SordXjWgKZefRo0fIZDJycwtvZFOV+3f+fTh+ygc4u3kQItNh3CIfmtq2w++rybTMeaqYNlJUQh11dAeT3h3/ysWV+df4aNY39OrejZY5TxXHHd6zk7vHdhJx8QRJTx5y4/Rhrh3YimPvweI+FirMy352Q9Xu34JQHZQqIe/WrRve3t7cunVL0Xbr1i28vb1xc3Mrs+CEqu3FqhS31OugJlHDTjudgBU/ErxtDT3enUHXd8ZiVKs2t84dw2X8RzQaOJFz8eDasy8PHz4Eih51LGp0UngzTZo0oV69enh7exMXF6dov3z5MjNnzqyS/bvgfWgyaCJt3plEwKE9aNXQwannQLpP/BhtbW1FYp1fKSXp8hG2fDWJpMtHWLdiGXp6eorFlSuXLmLq5ElKyXjBe/2mpBaHTpxi4dwfmTp5Eg0aNGC7zzrstNLZ+eUE7gWcYeDM74m4ck7cx0KFcXR0JDo6ms8//5yEhAQA5HI5hw8fZvbs2VWyfwtCdVGqhHz16tXI5XIsLCyoWbMmBgYGWFhYoKamxqpVq8o6RqGKyR8p7D98FJn6dWnu5KKY992i1wgM9PU5fmAvLi4u2HRyQ6ImIeDgLtr0GY5l195oGRhh3WMgNoO98Rg4hJSUFKXSb7c3LyXp8hEa1K1XaCRdeDNqamrs2LGDq1evYmxsTK1atdDR0aF9+/bY2dkxZ84cVYdYYgXXH2jp1cSqW1/a9BlOwMFdADS2tmfb7n2KcoQPHz7Ee+oHGLR1Z8QvqzBo64731A+KvM9eda+/ODdcT0+PmR++T8CZEwzv5MCDAxtECUOhQhkaGrJt2za2bNlCrVq1qFOnDtra2vTr1w9PT08mT56s6hAF4a1VqoTc2NiYkydPEhgYyJ9//smKFSsIDAzk+PHjNGzYsKxjFKqQgiOFHaZ+TxMHZzZ+N53MtLxkpuB82YLTUB5EhmNiY09OdjYamppIJBJMHTqiUauBIqnJn07w4GEcBm3dsfCcWWQtaOHNtGnThuDgYM6ePcuiRYtYt24d4eHh+Pn5oaOjo+rwSqzg+gOpVIOcbBmNWzsQd+cmufJcQs6fRF6nkaK2uMfAIZi6DXntAuKS3OsFvWyUXRAqgoeHB7dv3+bo0aP89ttvbN68mTt37rBo0SIkkjfamkQQhDdQqp0689nb24sNgQQlBUcjU9NS0a3XEDU1dQIO7sJ5qJfSfNmCOxDWNm5MVOBFzNt2QsegJpC36M2stZNSUvOq+tGiTnPZkUgkuLi4VIuttAtuPV+jRg0yEhK4G3iBWg1MCDy8lwD/LUxetB4tHT2sO/fk0r6t1G2uPKe7qPKGJbnXBaEy0dTUpHv37qoOQxCEAkqdkGdkZLB582Zu3LiBXC7HysqKkSNHKq3cFt4+BWsw5yc/DS1sOLXqd+LuhPPg+hUs3vVWmobi4+vHfwn3OXNwO2qAmWNHYq4H5i166zkQe726RZ4/X1HJkvBm4uPj2bx5M7dv30ZHRwd7e3sGDx5cJUfQCv7iV79ZK075ruTOlXM0MW7II7mcUd8uREvnf6PUZm3aEnXtMvUbNVG0FZVcv+xeP7tuiWKNg9jeXqiMYmJi2LFjB1FRUdSqVYuOHTvi4eGh6rAE4a1Wqp+u4eHhWFhYMH36dE6dOsWZM2eYPn06FhYWhIeHl3WMQiVXsJJKWkoS965fAUCiJsHI0JDogLPcDw2kqW07xi3y4aakVqFpJhpSKRO9RnNt60r2z/+K5Ad3cew5kNgz+5UWvIlqK+Xv2LFjmJub891333H58mX+/fdfPD09adu2LU+fPlV1eCWW/4tfy5yn+H01maZt2vHeiq3YDPEmNTOT2BtXAUhPTeLE5jXcuHSGU//8wfWTB1+5gLjgvZh/r8eFXEH9+QMxN1yotNavX4+FhQULFizg6tWr7Nq1iz59+tCnTx8yMzNVHV61MWSkJy4efXHx6IvHoHcAGDN+ooqjEiqzUo2QT58+HWdnZ1auXIm+vj4AycnJTJ48mRkzZnDo0KEyDVKovF7cQTMy4Bz/rvgVgKatnYgOCeD63o30/uBLbLr0Av43zWT12vX8e/yE4rn3QgKo36A+/TzcCLsVgb1eXf54IakpONrZxMaR6JAAMRJZhuRyORMmTGDKlCn88MMPaGpqAvDw4UOGDRvGjz/+yOLFi1UcZcnp6emhra1N94kfK013ksvlnPdZhlwu58K+rdj3HUHvmT8QGxrInkU/4OHmRse2jswvIrku6l58eO4A/ju3ikRcqJQSEhJ4//33WbhwIZMnT1Z84nX79m169+7NypUr+fDDD1UcZfXw6HkC/X/N27dBkpsNsZd4HJ+o4qiEyqxUCfnZs2eJiopSJOMA+vr6LFq0iGbNmpVZcELllZKSgo+vH5u378LM4x0sXd2RqEmwcx8IQPKVo0TdvIx9aysy7B1o2tpJ6flNbBzZ++unWPQdVWg+uJY0hZVLFxV53YLTXIK2r8C+tVWRyZJQOjExMSQlJfHzzz+jpqamaG/QoAE//fQTH3/8sQqjezNFTXdq2tqJLAdHwvZtxNZ9OK06uSHV0qZeU3M0tbTJCTmjWJuQf88HBofiYGuN1+hR4l4UqpTAwEAsLS2ZMmWKUnuLFi2YNWsWhw8fFgm5IKhIqRJyTU1NUlJSqF+/vlJ7SkoKWlpaZRKYUHkVHBXPMWpIQxtH4hMSMDI0RKImwdzRhaio4P8l1StXKRbV5YsOCSAnW1b07puvmQ+eX6VCKHuamppkZmYik8kUo+P5qnr/Lri4M190SABt7W0JvBaMefvOaGr/r4pME7v2HNi1Dij8SVBwSADDvLzZ7rNO3ItClZH/s7soVb1/C0JVV6o55H379mXs2LGEhIQo2q5fv46Xlxd9+vQps+CEyqlgdYkmlrbE3QxBXasG6enpQOE53S/b1GdQvz5iPngl06BBA1q1aoWnpyf37t0D8qax5K8Tqcr9+1WbS1m3NCf66iWl46OvXsKqhTmgfM+/qhSiIFRmTk5OxMfHM336dMV6kJycHPbu3cvs2bOrdP+uCPfuRinmhef/GTLSU9VhCdVEqRLyxYsXo6urS+vWrdHV1UVHRwdbW1sMDAyq5PxSoWQK1nV27D2Yawe2cvvCcRKePCpyAdzLNvVRU5Nw+98tYvfNSsbX15fIyEhMTU0xMDBAW1ubLl264OrqyhdffKHq8Eqt4H2Yv6V9/sLL3+f9wpm1fxBybB9Jzx4TcmwfZ9b+wZxvv2bFylX8vW4jj6OjFDXG4eV1xgWhstLW1mb79u34+/tTt25dDA0N0dbWZtiwYUyZMoVRo8T/va8i0ZDS/9f1Sn8ePU9QdVhCNVGqKSt16tTh8OHDXL16ldDQUNTU1LCyssLOzq6MwxMqo4If/Wvp6DFmzhL8l88l5vA23hnUX2kebcF5t1YtzYm5f5/mPd+hiY0jN0MCUFOT0DLnKTfEHNxKw8LCgitXrnDx4kUiIiKoUaMGdnZ2tGjRQtWhlRm5XK70fYMGDbh47BCfzPqKA7vWYdXCnGN7d/L+p19g1mMo/b9bzN2QIDZ+N50xc5agpaMnPs0RqqROnToRHh7O+fPniYqKwsjICCcnJ0xMTFQdmiC81d5oYyA7OzuRhL+FBg/oz4qBQ7i0bytmbdpiVL8hWslP2L7VVymZfvjwIR4Dh6BhVB+zNm3ZdeEaJh08FAtA8+fyar9iEaegGhKJBGdnZ5ydnVUdSplISUlh9dr1rPhnHcatnegyajLBd8IV88D19PRo0KABm9b9o/gl8t2pHyoWLANo/H+t8vM7N1KviZmo7iNUWZqamnTt2pWuXbuqOhRBEP5fqaasREREMHv27ELts2fPJjIy8o2DEiqHgvXFV6xcRUpKCikpKXhP/QBnrw/oO/N7atSqS8COdaxbsUwpGU9JSaH30BG0eWcSfT+fi76xKfdCrtLUvqNirjmIj/0ro9OnT7Nq1SqltuzsbGbOnElSUpKKoiq9/AWZVzN1GDJ3DU0dXdnzx2yaO7ko5oHn3+vek6fh2rMv17J0lRYsAxgZGmJqY8+ds4dEnXGhytq2bRt79+5VaktISOCjjz4iJydHRVGVXsF63wX/PIiLq5DrFzWvvCKvL1QfpRoh/+CDD/joo48KtXfo0IHp06ezf//+Nw4sX1hYGNHR0Upt+vr61WJL78osP4kxdRtCg37enLt2mZU9+zJy8EClrevrN2qCvp4eu/buU6o24ePrh/WAMZi378r1o3t4FHmTGoa1iLh8hjZufRXHiY/9Kx9vb2+OHz+u1KahoYGZmRmzZ8/m999/L7NrXblypdBmQ/Xr18fe3r5Mzp+SksJ7H0ynpn0Xnj95SITPn9Rv3gortwEEHNxF6269+c93MXsOHsKsx1CSjUywGdyWhrbtSHz6mLibITTv0IX09HR0dXR5GnmDyePGiMoqQpWUkJDAxx9/zI0bN5TaDQ0Nyc7OZuXKlUydOlVF0ZVOwXrfBf3p6VYh18+fV66q6wvVR6kS8jNnzrBt27ZC7c7OzgwbNuyNgypoyZIl7N69W2lqjKmpqUjIy9mqf9aSqVeX4LPHqB/3gDa9hqKmrsHSv39l2qrdSsfmlyosOF884k4kbSfOYsecGTj0HU4rbw+ig69weNnPaKpLsOnUQ2zqUwnFxMSQmZmJqalpocecnZ3ZuHFjmV5v1qxZ3Llzh5YtWypdpywS8pSUFAaNGsOd+4/QvhtH20GetHYfSGxIEP/t8kGenU34xZNoZSRiPcAL6849ufHb11j1HIK6Vg0su/Ri57xZ5ObmUM+sBTciwrh/2p/5vhveODZBUIWgoCCaNWtW5Cc7zs7O7N27t8ol5IJQXZQqITc0NCQsLIz27dsrtYeEhChtFlRWOnXqxPbt28v8vELRUlJSWLF2Ax3GTqexrROx1wPZ+eNMek3/Fm3DuoSeO4FclsWDyHCMzVuhY2CATcvmSiPqoWuXcMp3JfZ93qHV/4+mt3TuTkZyIqlXTxH18Db2ra34fsWyQputiGkAqmNgYMCTJ0949uwZtWvXVnqsvPr38OHDmTdvXpmfd9U/a7n36BmyzAzauQ/EvF1nNDS1MHN05tzmVTj2H0HT1g7cD7vGxX3bqGdpj4FxE6KDr9DK1Z1siTq9ZnzH6Q1/cmWXD/VNzVGX5xZ5raI2DRL3sVDZGBoacvv2bWQyGVKpVOmx8urfgiAUT6nmkA8fPpwJEybw33//IZfLkcvlXLp0iQkTJjB8+PCyjpHU1FROnz7NtWvXyMjIKPPzC8p8fP1w9pxGiw5d0TOqQ6vOHtj3Gc55v1U0tnXi+NrFqOsZ4DLuQ9T1DDj41wK27tpNpl5dajW3RsuoLl3f/ZiogAsYt7JFLs8lOysTWUY6zdq6Eng9lIVzf8Rr9Ci8p35AsEwvb7MVmR7DvLxfunGFUP5q1qyJm5sbw4cP59atW0BeneKDBw/yxRdflEv/fv78OSdPnuTGjRtkZ2eX2Xm37dwDEnWMGjWlWdtOqEkkZKQkEXRgGx2Hv4tlpx40atoM8/ZdsO09jLAzR7DpMZCAfZu5fmw/Sc+eEhN6laSnjxj05XwGf/ojLXqNKFR7PH96l7iPhcquTZs2GBgY4O3tzYMHDwDIyspi48aNLFy4sFz6tyAIxVOqEfKff/6ZW7du0b59e7S1tQHIyMigT58+/PLLL2UaIOQtMktMTOTBgwekpaWxYsUKhg4d+tLjMzMzyczMVHyfvxBNJpMhk8leea38x193XFX2utcYHBpOq0Hvkp6WjESei7pUA5OWVlzYuJy6Zi1wn/QxLR3aEXzMn0dREbRo54qeYW3qNW/F4SVzGPTlb9y5eAzDOnV5EHIFnfadkUg00NHVJTboIrqGtdjotxmA5u5DsXTJm2tn08kNdTXY6LeZCd7jyv11VhUVHf+aNWvo378/FhYW6OrqkpWVRXZ2Nu+99x7vvfdemV9v69athIWFERkZiY6ODuvXr6dTp05FHluSvv0s/jkdPKdx58pZooMu0MqlB5oaGsTfu03rzu7oakrJSktFQ11CoxatOL5yPtadetC6a29Or15ADYOaWLv1Y8iXvyJRUyMjJRlTazuu716jdK2NfpvL9T4urupyv1cGFfleVuS/l0QiYdu2bQwYMIBGjRphYGBASkoKEomEH3/8kR49elRYLIIgKCtVQq6jo8P+/fsJCgoiMDAQNTU17O3ty2whVkEDBgzg119/pWbNmsjlcubMmYOnpyc2NjZYWFgU+Zy5c+cWWQXm8OHD6OjoFPGMwo4cOfJGcVcFL3uNvbp3hqSIvG8KDPK1+7bApjDJEbRuZwHtlP8NBr43Fp6H0NrOlFF2n+c1xv+vioplMwMGfvmJ4vuGAHcvKL43aaQD6HDgwIHSvKQiVfV/y7S0tAq9nrGxMVeuXOHs2bOEh4ejpaWFs7MzzZs3L/NrTZs2jb59+6KlpYVMJuO9995j6NCh3Lhxg1q1ahU6viR9+7c53+d9YTE47+9nwQC0HtEPsqLhcYHF4hLoNMUbZNG0szVh5Py5/3ss5Xbe38l5f7Xq5qp0fzasV7dC7uPiqur3e2VSEe9lRffv1q1bc/PmTU6ePElUVBQGBgZ07tyZRo0aVWgcgiAoe6M65OWVhBdUcCtfNTU1vv32WxYvXoy/v/9LE/Ivv/ySjz/+WPF9UlISjRs3xsPDAwMDg1deTyaTceTIEdzd3QvNsasu8l/j+i3bMe7Uh8ZWdsSEXeXeyb2sWDif7bt2s2aTH7b9PWnSui3RoQGcWb+cRtb2ZGdloK1nQIsOXbBwdgM1NbKzsrh1/hgpzx7TyrUnpzYsRUNDk/rNW3Hr/AkMG5iQmyNDTU3Co4gbdBnhjZ1eXnmtEJmuYmQR4Ma5Y9hIU8tshLw6/FuqotSgmpoarq6uuLq6lut1hgwZovhaKpXy22+/sXbtWs6cOcPAgQMLHV+Svt2pWw8sBnlj3bUXmWmphB3fT8R/Z0iOuY15y1Y0cxtEbTMLIoMDOLthOY1s7GlsZUf4mSP0/fhHtPT02ffrLGx7DsG4VWvuXDlD8N5NTPAchbfXGHR1dQFYs259ud7HxVVd7vfKoCLfS1X0b01NTTw8PCr8uoIgvFypE/Lr16+zYcMG7ty5w44dOwDw8/Nj4MCBxR6FLg2JRIKhoSFxr6jxqaWlhZaWVqF2qVRa7P9cS3JsVWXcqQ+tXPMWXLZy7Ul2rpw+Q4fjMvZD+n/+G+u/noqR8QEa2zjiNPxdLm1dS2fvDzm7cQUuYz8kGwm52dlky2Q0tu/A2XVLuX3lHLHhobTpOZjQM0ex9RhEQlwsMSGBJD+Jo8vId7l7ej8L/r+yyjAvb3LkeZVa8quuzPNZV6bvfVX/t1RF7CdPnmTXrl3k5uaydOlSZDIZmzdvxsvLq1yvW7NmTdTV1V/av0vStx8+fYaLuSVZ2Tlo6Opj3Wsoxm3as+PLiWxdvwYfXz8u7FzJkaPHcPacioWLG3E3Q4h//IiIoIvYuPWnzxe/EfzvTi7t9kWenck73y/j5p1wRo6fqKhDPmbUyAq5j4urqt/vlUlFvJeq+LfauXMnR44cwcTEhK+//prnz59z+vRpBg0aVKLzXL16lfXr15Oens5ff/1V5DGnTp1i9+7dZGdn06tXL/r27VvkcYLwtivVos4jR47Qvn17IiMj2blzp6L9xo0bLFmypMyCy83NLTR6EBoayr1798QOoWWgsZWd0vd1m1uhUasB1p17cjf4Cu5TZjHipxU4DRoNcug28SMsO3vg0H8E0devkJmaQlZaClItbWKuB5CTLePchmXUM2uBRAK9p33BnYsnuXn2MInRt+nkaE+H2hqKREZPT4/tPuuwlaYQtX2F2GylklixYgX9+/cnIiJC8ZG9VCpl37597N69u8yuk5aWRlZWllLbv//+S05OTpn079TUVJ5E3UKem0tWWiry3FyeRN0iNTUFPT09vEaPIkeWhbGFDZLcbOS52TRv3xnn0ZO5sHk1IUf3kJX4HB19fWTpqbw7fw11TJpi3bmnYkMhQNzHQpXy6aefMnXqVG7cuMGFC3nTrIyMjPjll18IDg4u9nn69+/PuHHjiIiIeGk51D///JOePXuira1NnTp1GDVqFN9//32ZvA5BqG5KNUL+1VdfsWbNGkaNGoWampqiffTo0fTt25dZs2aVSXA5OTm0a9eO0aNHY21tTXR0NAsWLKBTp06MGDGiTK7xNosKukhSYhIPIsOp3aQZSNQxbmVLemoSV4/vx6CBCclPH9GiYxceRdyg64QZ5Obk4NhvBNt+mI6GVJNGzS2JCTzP+Q3L0NXVpceUzzG2ceJBeDC+37xP1/Ez6fbe58SFBPDw3P5C5eD09PTEJiuViFwu56uvvuLkyZPo6ekpTRsZPXo0q1atKvEo2ss8evSIgQMH4uXlhbm5OWFhYcyfP58xY8bQoUOHNz5/DW0tLm79hxyZjMQnccQEX+FZzB20pJqkpKQwePRY6rR3p8cQJx6EX+ffP35g6FfzMbWx537D+jjUyOTQijlE3b3L8J//Qlrjf5/85dfezyfuY6EqiIuLY/Xq1YSGhnL16lVWrMi7h9XU1Bg+fDhr1qxh8eLFxTrX3LlzsbGx4a+//uLEiROFHk9OTuaLL77g119/ZcaMGQA0b94cb29vJk2ahImJSdm9MEGoBko1Qh4WFqb4QV0wITcxMSEmJqZsIiNvVO78+fNoaGiwefNmbty4wbx58zhx4oT4SLaY8rcEn/TBTFasXKVUiu2EzwrU9Qxo+854HkTe5Mymv4kNv87yKSNo3XMwXcfPQK92PQ4s+gHDBsbcvniaoAPbObT8F5rYOBJ18ST+P00n6vB2HGxt6OA5FUePAWjr6GDm6EzXCR+RlvgcbR0dHDz6K40qCpVTbGws+vr6ODo6KvVtKPv+bWZmhr+/P4mJiWzatIm4uDg2bdqEj49PmZzfwdaWtKQkDi37ieB/d4FEDccBo0BdnUVLllGngwcWrj3RMaxFi45dadW1DyFH95Jw7zZD+vflxNnzWPQdhUP/kTyIvEl8QgK5/1+HXOwwK1RF4eHhODg40KhRozfu3zY2Nq98/NSpU6SkpCgNng0ZMgR1dXX+/fffkgUuCG+BUo2QGxgY8ODBA5o3b67Uqf/77z+MjY3LLDiAWrVq8dVXX5XpOd8W+fWRzXoMzauPHBLAMC9vVi/9A4COIydhbG3H3gXf4th/JF3GfUjk5TME7d9OK1cPcnNyMG/fGbk8l7AT+4ne7Yv7tC+x6d6X6Gv/EbDXl54TZ9LK2Y0tP3+GWyMzkpKS0dLUIiMzA9M2bTm9bilGhoZI1CSFRhWFykdPT4/4+HgyMzML/cAuj/7dpEkTfvrppzI9Zz6tGjrI0pPpNf07TO3bcffqf5xYvQjHQWNZvvofPH/fgLqmJupSKTkyGY2s7Nnz8ye0aNyQlt26YNZjKNade9I8LYWN300HwNTGnqeRN8QOs0KVlP+zGyj3/h0REYGWlhYNGjRQtNWoUYN69eoRGRlZ5HOKW9a0YFlKTakUSW7h/Qu0tbQKtRe3rayfn/+3plRaZcqSVrUyqpU13pLEU6qEfMSIEUyfPp3169cDeVNLTp48yaRJkxg9enRpTimUAx9fP0VSAWDduSdyuZzBo8bwzacf0di+A9dP/ItD/xFYdu5Jbm4urTq5U0O/JiFH9uI4cBTpSQnUbdaSx2sW4TFtFs2cnNGUatKyfRfkcpClJqGprU3CowfcD7+OXu16ZMtk5ObKuXf1Mo1bWCFRy/sgRowqVn5GRka4uLgwc+ZMJk3Km4KRlZXF7t27+frrr4v9cXZlEBkZQY+pX2Lj1g8Am+55f4cc9ScrM5OHkTeoa5pXylGimVcBSJb0jO0+h/ho1jc0eyev32jp6DFmzhLO79yI/4/rmDxuDPPFHHGhCrKzs0MulzNv3jxatWoF5K21WLduHcuWLSty6klppaenKyoRFaSvr096enqRzylpyeIjR44wc/J4iL1U6LH5P3xdqL24beX1/Gnjx6ikFOqbqGplVCtbvCUpa1qqhPyXX35h1KhR1K9fH7lcjp6eHhkZGQwcOFAs2KhEAoNDafbONKW2mo1MSZHJATi38W8yMjOwduuHHDk5siwk6nnzyM9t+oscWRZy1Li09R/kQMLjOOSoIZVqIJNl09S+Pec3LOPins2oa2kTsMcPTe0aGLey5U7AOc6uX4r7u9M5sfEvoq5dJjv+Ed/v+d8iYLHdeOW0du1aBg0ahJOTExKJBF1dXXJycvjwww8ZO3asqsMrtgdPntKzTTuy0tPIkeUtHm3UypZTa5egoaXN1f3b0JBq0bi1AzHXA7l6YBumps3Q09PDwdaa4JAAxS+zWjp61GtiRo9xY5g6eZJiKpi4d4WqRF1dnZ07dzJo0CAiIyORSqUYGBigrq7Or7/+iouLS5ldy8DAgMTERORyudJo/PPnz6lZs2aRzyluWdOCZSn7vjOa3nMKV3hZPXEAE1fvLVVbWT9fkptNiwcB/Ll2I/7bfIt87ZVNVSujWlnjLUlZ01JvDLRnzx6uX7/OlStXyM3NxcHBodxrkgsl82JSkZmWws55s+g4LK82snGr1pzw+ZPoa5dp2bEbWRlpSLVqEBV4hFx5Lk9jojiw8Hsc+4/AZfQU7t+4yp65nzHw05/RrKFD5KVTZCQnEXL6MC6jJtOsbSeuH97DOd+/kefm0LhBfYL9N2M9YAx9Z37Pk4gwxkyaQj8Pd66F3iAgKJB2IyZh/v/TaQaNGkM/D3dCb94WSY4KNWzYkIsXL3LhwgXCwsKQSqU4OzvTokULVYdWIunJyURcPo2FSw80a+igriEl4r8zpMY/w7BBIyxcepD0+AGn/jlDnabmWHX2wKVO3n/kXqNHMczLG1AuZTjfZ91Lp4KJyipCVWBtbc2NGzc4deoUkZGR6Onp0aVLlzLfGKh169bk5ORw8+ZNxWj8kydPePz48Uvnn5e0ZLFUKiVLJiNXUjiVycjMLNRe3Lbyen6WTFapksXiqGplVCtbvCWJ5Y02BmrdujWtW7d+k1MI5ejFpOLwmkU4DhhFK5ce8OQqtu79ycrO5sif85Clp2Bq25bwM0cI9N9K8w5d2PbN+3Qe/yF2PfN2OtTW00cuh//2+lHPtDnBR/Zg6z6Qu+uWYdzKFq0aurQbPAaAhEcP2Pv1RDq/+5HiFwJDo1qc8F3F1UwdGg+aSHbzIAIO7cHSxY3mTi4c37SSq5k6WIgkR+XU1NRwdnbG2dlZ1aGUmppEwvnNq5Fq18DUvgOx1wO5fng3Xb2nc2XPJq4f2Y1D/xF0GjGBuJvB3D/tz0TfDcD/Shn6+PoRtH0F9q2tFNNUVqxcVWgqGORNEROVVoSqQENDAzc3N9zc3F5/cCk5OzvTtGlTFi9erKjmsnTpUmrWrEmvXr3K7bqCUFUVOyFftmxZsU/6wQcflCoYoWy9mFTwNJbW46eTI8sAQC4H87auBG1bQwcDOXtX/Eh2zXo49OjH09i7GDU0oVGrNsiystCQaiLV0qa+uQVnfZZTu049xs/7i/T0DAL2bSby8lmsu/VGq4YuOTnZ3As8T526dWli46iIJ+DgLjoMf5fmbTuBHKy69UVdqkXAwV0Aisf0DWqKJKcCJSQkvLSO8IuMjIzw9PQs54jKhoamJg3MLUl4eJ/Ta5dQr5kFQ777g6QncTy7d4uB07/Bf/lcnpw/xDuD+uPlu6FYJTmLmgomFiwLldXdu3fx9/cv1rFmZmbF3rhn+fLlXL58mZs3b5KZmYm3tzcAP/zwA6ampmhoaODj48OAAQO4du0aWlpaXL58mU2bNqGvr1/al1OlxUTfw8Wj8Ptbv5YhOzdvUkFEQmVS7IS84C5cubm53LhxA4lEoliV/eDBA3Jzc7G0tBQJeSVSMKlYsXIVwWFXsXLpBgmQk5HGg5DLONi2JvTmbXKys+k+9n30a9Xm4p7NRAZeJDYsCN2aRqhpZiGVSnl8MwSnXkNwHupFZloKu+bNou3gMVw7uBOtGjrUb96Kp5FhPLl4mMF9+3CzwJSZB5HhdPScilQj77aTZcto3NqBs+uWIJfLlR4D5SRHzDcvP/Hx8Ur9Oz09nTt37iCVSjExMSEtLY1Hjx6hoaFB7969q0xCLs/NRUtHlzomZnQa/R4A2VmZxIYEYtLCGi0dPTwmfETU9hUl+qXvxalgIBYsC5VXdHS0Uv9OTEwkNjYWbW1tGjVqRGJiIk+fPkVHRwdvb+9iJ+TW1tbo6urStWtX3nvvPUV7wWTb1dWVO3fucOrUKbKzs+ncuTP16tUruxdXxUg0pPT/dX2h9n1fjFNBNEJlU+yEPCQkRPH17NmzuXTpEqtWrVLMO7t//z6TJk0qkw09hOIpKkmFvFHlS1eCkGVloKmtQzuHNniNHoXX6FEMGjWGOwHnmDbQnVP//EHYhRM0tnHieeB1sjLTWTlzLDXr1ic7JweXMVMJPrQLDakWjSysSYqJJNR/E45DvYG8EW8rtwGkJT7HoG4DIs8fI+TIbqyNa7Pr/z/6LzhlRk0N7gWep2G/YQBkJCRwN/ACtRqY8PxhjNJj8L8kR8zZLV9mZmZK/XvUqFH06NGDX3/9FUNDQyBvF95Ro0YxZswYFUVZcjW0NHlwK4THUbeRy3PzFhtfOcfx1YtoZuvAtRMHSU9OwMmyBSkpKcW+l141v1wQKpvOnTsr+ndOTg6dOnVi8uTJfPbZZ2hrawNw4cIFRo8eXaJF2127di3WcUZGRmW2mZggVGel2hho/fr1Ssk4QKNGjVi1apWiFKJQvvKT1GCZXl6SKtNj8OixDBo1hoAUDQIjo5HYuFKz21C2ngnE0bUby/9aiTxXTuP/n0ZSt6UNmVkyokICsB8wkuE/raCT11SePYjGecQEbD0G8c6c5aQlPufQ8l94fuEgI4cM5IzPn+yY/zU3/zvDmY0riLx8ltqmzWnWsTu5OTloatVAT0+v0JbiA5yseHLxMDfOHCE1/jlxwf8RsmsdBon3lR5Lfv6U0NOHiDq6A6/Ro5TKN+rXqlNo63Kh7GRkZHD48GFWrFihSMYBLC0t+f3336tU/05LTSXl2VNyc7I5/Oc8fD4Zy4l/FqMhldKicy88ZnxHu2HjuXT9Bv3eGam0aVa+ojbWevG+tpWmiF8OhSrh5s2bZGRk8O233yqScYCOHTsya9YsfH2rRgUQQaiOSpWQx8XFkZ1duBB+dna2YtMBoXy9mKRaurpTr2NP7tx/SOiZY9j3H0mLjt04tnoRTRxdGDJ3DfuuhFHfpTe23fIW1Fh27kXPD77BzK4Docf3U8OgJq17DKCuaUsatLBCDaihp0+7IWPpMekTroWFc1e7IeMW+dDEti2xN4LpMPxdBsyaR20TM64f3YtV975kZf6vxmz+lJmVSxfx0fQP2eW7QZHItNFM5cyh/az9e3mhxwomOYHBoUpz0eH/p7NcD6vIt/yt8OjRI2QyGbm5uYUeq2r9OydXjkRdjbZDvPD6fR2uXu9Dbg5u732GeVtXahk3wdZjEK5j3yfiXgyr/lmr9Pyifukd5uWtSMrz7+upkyeJZFyoEl72sxuqXv8WhOqmVAl5t27d8Pb25tatW4q2W7du4e3tXa6rtoX/KZik5spziY9PoHGb9tRvbklqago1GzRi34KvUVOTkPLsCVq6+siBpg7OJCfnjQSqa0ppYuuERF0DG7f++M2aRND+bdRvbsW9q5fISE0mKyOvhvOlHRvo6DkN6849MahdDytXd3pMm0V2Zjq6hrVp5eqOfZ93SHx0H60ahTeDyPeqROZljznYWhMdEqB0HjFnt3w0adKEevXq4e3tTVxcnKL98uXLzJw5s0r1b7ka9JgyizY9B1PLxJQ2PQfToKU1DS1aI5fLyUpPIzM1maZt2lG7cTP27Ffezlt8MiNUN46OjkRHR/P555+TkJAAgFwu5/Dhw8yePbtK9W9BqG5KlZCvXr0auVyOhYUFNWvWxMDAAAsLC9TU1Fi1alVZxygUoWCSmpaWjkRTi7hbIdRvbo2ZQ0f2L/yeZk6d6P/ZT+jVrsuOOTOo09iMB+HXyM753whJTEgghsZNaGLrhJFxY/Rr1+Vu4DlO+/zJkRW/4v/7d+yd/zUPQwNp6dSRXHkuqWmppKWl08jSjrhboagByOU0bu3Ao1thtLW3LdPX6jV6FFFHdxB6+lCh6SxC2VJTU2PHjh1cvXoVY2NjatWqhY6ODu3bt8fOzo45c+aoOsRi09SuQUMLa67s3sT+hd9yZfcmGlnaEh18BS0dXWro10RDS5tbF05g1MgUibq60vPFJzNCdWNoaMi2bdvYsmULtWrVok6dOmhra9OvXz88PT2ZPHmyqkMUhLdWqeqQGxsbc/LkSYKCgggLy/vhZGVlJTYGKmcFF3FaW7Tg9uEtAOiZNOPRnVtcPbidvh/N4eq/O3HoNwJL156oa2rSqnNP5HI5z6PvcH7zauQZadhZNiDk+H7ObV3HsB+WEHczhIYtW2PevgvJTx8TtH8rTdu0pZFVG2JDgnhyI5B71wMwbtMeda0aaOnXJOLKOR7cCCY1MR4dA0PuBV0k+3lcmSfKr6oJLZS9Nm3aEBwczIULF4iIiKBGjRrY2dnRsmVLVYdWIjmZGez66VPaDxtHxxETuB92jQvb/iFHJkOqpYWZozOxIUEE7d9OQlw0n01Xrg4lqqkI1ZGHhwe3b9/m7Nmz3L17FyMjI9q2bYuJiYmqQxOEt9obbQxkb28vkvAK8vDhQ3oPHYH1gDGY9fMmPCIMNTUJLXOesvzb+TRo3ZZh3y9Gs4YOd69eYuCsX9HU0SEjJRmAxjYOXNnjx7OYexxdtZChC38j/kEMHYaNZ+ePH6Oppc3Ar34jKy2VzLQU2g9/lzYegwCoZdyU3KwMjq36nY5jP8TUoSMx1wMJ/ncHHUe8S9BeXwzrGxO6bxOH9+4ql0T5ZTWhhfIhkUhwcXEp0620K5qaRIKt+0DSEuK5sHkNtZua02GoN/GP7nPv2mXObvwLu77DGPzNfDZ/OQX/fw9jYKCvKKkpqqkI1ZWmpibdu3dXdRiCIBRQqikrQsV6+PAhzm4eWA3yxsptAFqGdahv40T9jr24+N8VbFu15G7gRW6eO0ZK/FPSkxK4f+MaEomEGvoGyHNzCT97lMdRN3Gf+gXjl24G4NGtMMwcOtB28Bi09PTR1jNAXUOD6OsBNLV1Ulw/J1tGi3au5Obm8jwmipNrFpEZ/5ixPy+jhWNH7v93Apdaapw5tJ8GDRqo6m0SBCUSDSm3zh+jZr2GdHl3Bob1jLl57ihxN4Jxe+8zur47A6mmNg9uhlC7sSnUMSm0cFNUUxEEQRAqwhuNkAvlLyUlBY+BQ9AzNsPUoQNqEgkSqRQNdGjU2okDx/aRkZRASxc3LmxZw9G/fsOgdl0ubF6NuroGjaztiA0J4sKW1fSY8jktOnRDV08XHkTTptcQws8epZWrO+f9VpKRnERU0AXibl4nNuwqhg1MyMmWkZORTmTgRWrUqkcdsxZ0HP0eOZnpaOno8TTgApPHjRGj10Klk5Mtw67vO7Tq7AFAq84eZGdncXrtUqRa2jRoYcXBJXN4Hh2Fi+cUNHJkhXaIFZ/MCIIgCBVBJOSV3Kp/1pKWK6G5pS2x1wNo1bknamoS1DU0uHf9CibWDlw/to/aTcyx6/MOD8KD+W/Tn2hra3Pr3FFunP4Xdakm2ZmZmDu5IFFXJy0pEYDbl07yOOYeGlraqGtI2fvbl6QlPEdLqsH1Hf+glpONmV07okMCCdy/lXE//8m2eV+ipqZOQwsbAv87zcNzB8RH+EKlpCZRx8i4KZe2r+fpvQjqNG2OiY0DerXrIlHXICrwAslPHuE8ehK3zx5mzJwlgPIOsYIgCIJQEURCXkmlpKSwbMVfLP5rNc3adcbIuAmB+7ciJ29jn6jAi1zcuobsLBldvD/AultfcrJl6BrVJidbxr2gCzQwNeducAD3bl1HU7sGd69epnn7Luxf8DWOU7xxHTONyGuXObHqd2o2aITTIE8aW9txL+A8D88dwElXRtj+9dy9eZNR3y7EoE59xsxZQsDBXZxdtwT1+Dj8d2wRH+ELlZIsI4ODf3yPy+j3sO7eh5iQQA7+8QNmjh0JPXGAk/8sRktTg6e3wxgzZwlaOnn3sVi4KQiCIFS0Uifk8+bNY9asWWUZi/D/Hj58iMegYTxLSKLLxI9p3q4ze+Z+jrVbfx7fuUXgvi08jrqFhpY2hvVNMLXvgJpEDQ1NLQBM7doTenw/bfqNoOMQTw4s/5X7Vy9y5M9fuBNwjjY9hwB5dchbdOiKRCIhOjgAy849yc7MoHW33ujr66MlTWHl0kWsWLmK4Dvh1DFpipaOHs5DvQg9fQhbafG3GxeqjufPn7Njxw4mTaraUzXk8lwcB4yiRfsuSDSktGjfhYzkRC5uXUeQ/zbGLviH5PtRBOxYR8SVc2LhpvBWiIyMJCgoiGHDhqk6FEEQCijRok65XK74+ssvv1R8PWjQoDIL6G1UcHvuP5Yup1vvfqSrSZFoSPPqIKtB75nfc3Hrah6Eh2Dcypbukz6jhn5N1KVSYkOCADUyUlMI2r+Ng4tnk/z0EWkpyfh8O50mjs4MnbsKt7FTibhwglqNzQDQ1NJBIpHQsFVrcmSZZGdlkp2ZTo0aNZTqLYs64NVfwb79+PFjfv/9dwDu37/PBx988LKnVWpauno0tnZAlplORkoiWelpNLK2Jz05Aft+I2hgao65owt2NjZi4aZQrRXs3zdu3GDdunUAXLlyhZ9//llFUQmCUFCJRsjr1q2Li4sLnTp1AiA3NxeJRMKePXvKJbjqLiUlhdVr17N8zVrqt7LDvs8wNu/142l8Itp6cgyNGxMdEoB1196EnThIl3HTaWzrRPChXdwNukADc0vCTv3L03sRBPhvJunxQyDy90EAADXtSURBVDoMfxeP97/m4e0wtn/3Ie3f8aZ5h27kZKTTomtf7t0M4/Gdm9CyDrKsdDR0DLgfEoQ8NxdZeiq1a9VCoiZR+the1AGv/m7evEmPHj3o1KkTZmZm5ObmApCcnMzRo0dVHF3pZKWlEhMSSCtXdyAvIYkNCUSWlcm9oAtcrV8fXYOatHO0Ews3hWrtwIEDzJgxg06dOqGtra3o3w8fPuTChQsqjk4QBChhQn7q1CnOnDnD6dOnAahXrx7u7u4AREVFYWZmVvYRVjP5SfiOff7ci46l07gPGPLzSmJCAtk6eyZmDs54LdzAw9uh/LfTh2MrFwByrh/bS816xpz2WY6r1zRauw8g8vI5bl86SbcJH1G/uRWP74Rz7eAOTO3aYdmlJ7k52STExSJLT0Nbz4CcnGycBnny74KvGPrtLHKysoj47wCB21ajra3N49AAarR2KvJje1Ftonpr2bIlu3fv5vTp0xw5coTbt2/TuHFjHB0dSU9P59GjR9SvX1/VYZaIXJ7LyX/+QKqtTVO7dtwNusSptYtxn/I5JtYOPIm6ydE1f/DTsUOqDlUQypW7uztr167lzJkz+Pv7c+HCBVq2bImpqSlpaWkkJCRgaGio6jAF4a1WooTc2toaa2trpkyZgp+fHydPnuTgwYNs3rwZGxsbatWqhaurK76+vuUVb5WWkpLCwBGe1HXuhb5Ve1w9htPM0QV5bi6WnXuioanFnStnObz8F/p9Ogd1qRZhJw9yau0SOo/7gOSnj2nVqQem9h3Q1tUnPTkB96lfYuHSneysLOo0NkOem8veeV/Q0qUHjVs7Enp8P53HTkMuBw11LZ7H3qW2cRMAdv74MaSncPpff/T09MQI+FtMIpHg5OSEk5MTffr0ITIykg0bNrB161b2799PkyZNaNq0KUOGDGHevHmqDrdYJGoSOo2ZQmr8c06vW0Z6ciJd3v0IS1d3NLS0qFWvAXraWuzau0/8silUa5qamri6uuLq6oqtrS1Lly7liy++YM2aNezcuZO6detiZWXFhAkTmD59uqrDFYAhIz159DxBqa1+LUN2bt70RscKlVeJEvI2bdrQqVMnxZQVGxsbbGxs+Pzzz0lISCAwMJCzZ8+WS6DVweq166nbsSfWbv05tOwn7PuPQF1DA3UNKeqaWjS2dSIq4DyO/UcSfuYY5u1cubjtHzqNmYZ1934c/OMH7PsNR6qlTVZaKo8ibmAz+RNys3NQ15CSkZpME9u2RAWcx6ihCYeW/khWSgrhZ45iYmNPzPVAAvZtISc1r+zhkG8XERsahPfUD9jus04kJW+xiIgIxowZQ6dOnWjcuDESiYQOHTpgaGjIgQMHCAoK4tKlS0RERKg61GKT1tChpbMbBvUaoqamxv6F39KyQxdyc7JRV9dDnpND09ZOosShUO0dPXqUn376SfGzWyqV0r17d9LS0khMTMTX15fz58+TlJSk4kiFfI+eJ9D/1/VKbfu+GPfGxwqVV4kWdc6fP59atWqxcuVKAKysrPj0008BkMlktG/fnk8++aTso6wm9hz8F5PWjqhLpdRv1orY64HI5XIkUikgJ/Z6IPWaWWDS2oFn0ZE8vB1G0uM4zOw7IEtPo07T5sRcD0CirkG2LAtji9bcu/ofEg11cnNz0NSuQdzNEIwtWtOiYzec+o+kibUtWfFPOLt+KQlx0dSs24AOIyYCoKVTAweP/pj1GIqPr59q3xxBpRo3bqyomuTj48OtW7do27YtixYtIjs7Gw0NDbp27crEiRNVHGnx5WRnc/9GMGpqagDUb9aKu9f+Q01NQlZGGlmyLO5dvyJKHArVXrt27ZgyZQoJCQns2LGDQ4cO0aVLFzZt2kRGRgZ6enr06tWL4cOHqzpUQXhrlSgh9/Dw4Mcff+TEiRMALF68mOzsbACMjIxEQl6EghVU4uLiiA0NIicri9YeAwk6sI2b546R/Pgh4acPE7DPD8uuvYkJvkKuXM7VA9vIlcl4GBGGTk0jWrm6c9bnT4IP7yI14RnqmlocX7WQ8DNHSX76mIhLJwnavwWrzu5IyaW1Szee3A6lZt169Jwwk4aNmxIXGkgTCxsADGvWRKImUaqoIrydtLS0GDRoEAsWLGDjxo2YmZnx1VdfkZKSwp07d6hZsyZdu3ZVVF+pCnJkWZzfvJLw04dJiX+Klq4+x/9eQMR/p0l68og7V85zye9vUS1IqPYMDAwYOXIky5YtY/78+bi4uDB58mTi4+M5fvw4RkZG9OrVCx8fH1WHKghvrTfaGMjd3R13d3cWL17M/fv3OXv2rGLBp/D/9cQHDkHDqD4NzVvxLCGR0xv+JCc7h2ZOLlh168OptUs5LsvEzNEZ96lfcufyWc5uXIFNj/7kyLJITYzn6F+/kZ6cRNjJAzgN9iL+QQyhx/YTdysEc7Om5Fw/TeCJXajVa8y4n5YpNjgJvXKWqe96oyVNUcwNbzXtPSJi70AjHSRqEuSIjVCEwqRSKYMHD8bS0pKAgACOHj3K6dOniYqKUnVoxZadLSP+QQwXtv2DzGc5Wjo66NWuQ8SFk5z3/Run3kOws7ERayWEt46enh6enp7UrFkTDQ0NFi1axJkzZ0hJSVF1aILw1ip1Qr5t2zal7+vUqcOgQYNETfL/l5KSQu+hI2jzziSMLW3xm/UeHtO+xLhVa877rebcpr/Q0NJGlpGGUcNGPLhxDb8vJmDerjODv/2dAwt/wKH/cLpP+JjIK2c4u+kvOgwbT0vnbmhoSFFDTlzwf7TRTGXq5EmkpKQwzMu7yA1OCiYcKSkpjHp3EniOJCX+GXdDr4qNUAQljRo1YsmSJUptJiYmjB49WkURlY6GugY16xtj12sojW0diQu/zqUdG7gTeJ5PNhwgJuwqtuZ1VR2mIFQoJycnpX1EAFq0aEGLFi1UFJFQXPfuRuHi0bdQ+4O4uDc6b1GLQuOfPmbu99/gMegdsmQyQCwULW+lTsgL7vIVExNTJsFUZikpKfj4+hEYHIqDrTVeo0cpEt2Cj1m1NEdNTcKeg/+i2aApSU8ecXnPl3QcOQGrrn1Qk6jR75MfCT9zmMdRESQ+vo+ZgzP7F31HF+eOPJHncmjpz7QdMobWbv2RZWVi4eyGPDeXpCcPUUMNbU0pOjo6aBZYkFbcWuF6enr4rFzBqVOnuLd7DbZWFqKiiqBEX18fDw8PAJo3b86pU6dUHFHpqGtq0clzCi06dCE7K4vm7bsgl8v5d8mPxISJX0SFt1ODBg1o0KABAD169KBjx44qjkgoLomGtNDiTYA/Pd3e6LxFLQr9590+APSe8xe5krxUUSwULV8lmkP+MiYmJmVxmkorf/Q5WKZHo77j2Ho2EEfXbvyxdDkPHz5UeuyvzTv5L1md9lO/w9ShI0EHtpGWlEDyk0ckPYkDuRzU1DBp7ciD8GvUM7OgQQsrGlu24XlSMilPHqJZQwczhw5ky7LIzvy/9u47LIpr/QP4l7LSFqSIgqKIICpVpBkRUFAwdsVoxBLrzVVMolEvKdZYklii0cSoPzsaiYhiI4nGhgUJCoggTbFQBOm97/n9wWUuC7u4BGQXfD/Pw/OwZ86cfWd2Z/fdmTPnlENQU4OeFoPwKj4aul10wFfjN5q8B/jfWOH7d+/Aon8tFJtkq6mpAQB+3Pptk/UIUVRUbHfjj9dRUFSErpEp5OQVoKyuAZ6yCvT7WUJBUZFm5CQEgLKyMnR0dKQdBiEErZSQd1R1N2SO8ZqKlJxCRN/4E8e+WoTuFvaY/O1BRFWo4n2vaTBwHgNzF08khoXgvWkLYeY+DkrqnWE6xB3OHy2B+bDR0DYwRPAPa1GU/RpMIMDzyHvIz0iDudsYZD1LRF/b96AgJw+HMV5QVePjafgdMEENeErK4PP5KEl7Bpb/GnG3rtD09YRIoKK0BBmJsWACASpLS8AEAmQkxqK8pIR+iBJCCJEpLbqpsyOp63YSHRuPUW4uyMzMxIJPlqK3+2TY/Xs1Mp/GI+LiKdh5fYToy0HoO3gYTN4bVnvjWGZt/630p/FwnusJBUUeKgQCdFLlo7fNYLyM+hv2k2eCAXhw8RQ6d9XDvYDDmLz6B6TGPED0H4Gw85wAZ4NR+PP6JVg4j8HflwLB4/Ggb2qGwpdP8fzqGVw+fxZnz1+gyXsIkYAirxNuHNoJOQV59B7ogOdRf9fO3NlJSdqhEUIIR1Tf8Jb2CxfVZkv7gIvrwy5pu6L6qrdGXB0FJeT4X5cUoxFe6D1pAVCQiEnTZ8J22r9gZO+MSiYHnV7GkFfkoTgnC4PGTsODC/5w8poJo4EOuPTjNxgOoLtxf6Q8ioDJYFfIyclBQZHHjS2uwtdA934WCDm8C726dYGGkiJuHf4RRlZ2sPOcgNRbl7DT7wgWzpsLv19PosbEEJUxt5D9NAL2NlbY9t/kmybvIeTNiouLIWACDJ29GOWFBQg58hO69umHobMX4/LujdIOjxBCOKL6hre0X7ioNlvaB1xcH3ZJ2xXVV7014uoo2kVCHh8fj//7v/9DZmYmLC0t4ePj02pnhouLi/Hxkk/RZbAnetsNhaoSDygAFDS7QtfEDFVV1VBQVoWcnBx6Wg7CjYM/YsCwUXjydwiqqqrwOikW1TmvEBvyJ0wdXXByw+eoLClEHxtHxIbfQfSVIExesxPVVZVIib4PIytbTB/uiFne02tvwHz0GDZ8Xeysd7Z70b8WYlGrbB0hsu/evXs4fvw4CgoKMGTIECxYsAA8Hq9Fbfr9ehI8JWUYmNlAS98ACjweaqqqkPcqFZ2UVVopckIIIaR1yHwf8oiICNja2iI3NxfOzs44ffo0nJ2dUVFR0eK2686Mx2XkwdDWCVWQR35B7bTyvS0H4dnDcPB4iqipqgQApD6KhLZBbzyPvAdNfQPEhlzGn3u34OzJ47DiFSM9+Bj+/eFkOKjXIP38ITz8bR/6Dh6GktwsxN38AxEXfkOn4mxuhBZJbsAkpCM7f/48nJ2doaysjMGDB2Pbtm2YPHlyi9uNiI5FJyVlpMZGoKaqEpUlJaipqkRqzAPwVSkhJ4QQIltk/gz5l19+iWHDhuHw4cMAaodb7NmzJw4fPox///vfLWrb79eTMBrhBe2s10iLjcIAFw/UCGoAAJq63RB2+gj4amrgG/TBq6Q4PPz9NCw9J+LebwehoqENdQ0NjJi/FJevXhPZlaS4uBgHDh/F+X2bIKipwSJvLyycN5eSb0L+a9myZVi8eDG2bdsGAHBxcYGVlRX++usvjBgx4h+3O8jKHBEvMxBy9CfIKyjAwNwGqbGRCDn6M3roarZS9IQQ0n68rXHM3yWi+sG3Vh94mU7IKyoqcO3aNezfv58r09HRgbu7O4KDg1uckEdEx6LPB4vRSVkZx9d8CgDoaWYJAEgLvYzfA3/D2fMXEHrpCO7cugW1/44rPviDeXh89TymfLEZleXl3FjgDfH5fCz9xAdLP/FpUZyEdEQJCQlITk4WmtPA0tIS/fv3R3BwcIsS8lne0/HNlh+goqGFyEsBCAs4AkUlZWh07YYqQVVrhE8IIe3K2xrH/F0iqh98a/WBl+mE/OXLl6iurkavXr2Eynv16tXkZCUVFRVCXVoKCwsBAFVVVaiq+t+Xsa21BWJiH2CAkztmrduBqCsXcHPvd7CbPRWH9+xG586dsWDuHCyYOwclJSX4bMV/kJD4CDoaGpi1bgeUlJXx7MEdDLIyF2pX1tXF2p5i/ic6yna29/jFSU5OBgCRx3fdsoYkPbaVlJQw3GkwUivkUZCdATU1NfSxHwplNXUoPI3okPu0o7zfZUFb7kt6vQghgIwn5HVfvKqqqkLlfD4f5eXlYtf79ttvsX79+kblly9fFmpLv6su9AHgeSgAwNjaELA2BADcuXOn0fqTx9W71PM6GgBg0EMVgCqCg4Ml2SSZcuXKFWmH0Cba+3aWlpZKO4S3oqnju6SkROQ6kh7bADBt8kTRT2w2pl0er5Jq7+93WdIW+7KjHt91GGN4/PgxqqurYWFhAQUFBWmHRIhMkumEvHPnzgCAvLw8ofKcnBxoamqKXe/LL7/E559/zj0uLCxEz5494eHhAQ0NDaG6JSUl8A84jejYeFiZ98eUSRNx584djBw5UuRIDw3rf/jBFG7my/aiqqoKV65cEbuNHUVH2c66s8AdTf3jW1dXlyvPycnhpvZuqDnHNgBkZmbi63XfIOHpM/QzNsKmdWva7cyjb9JR3u+yoC33ZUc9voHaEdImTJiAgoICbj8GBgbCwcFBypGR1vQ2xjxvaV9tcWOeZ6SlQK9Hzze2K279t9nfXqYTcgMDA2hpaSE6OhqjR4/myqOjo2FlZSV2PSUlJSgpNZ78g8fjNfpw1dTUxL8XLuAe110+FFVXVP32TNw2djTtfTvbc+xNsbCwgJycHKKjo2FqagoAqKmpQWxsLDw8PESu05xjG6j9DDl6YH+j8o6svb/fZUlb7MuO+loxxjBt2jSYmZkhMDAQ8vLyWLBgAaZMmYKkpCSRxzFpn97GmOct7astbszzPTPcJWq3qfXfFpke9lBOTg4zZszAwYMHkZ+fDwC4efMmwsPDMXPmTOkGRwhpEV1dXXh6emL37t3cD+GjR48iPz8f06ZNk3J0hJCWuH//PqKjo7Fq1SrIy9emGqtXr0ZKSgp1qyJEBJk+Qw4AmzZtQkREBAYMGIABAwYgLCwMX331Fdzc3CRugzEGQLJLg1VVVSgtLUVhYWGHPXPxLmwj0HG2s+59W/c+7kj27duHkSNHol+/fjAwMMCDBw+wZ88eGBsbS7R+c47tjq6jvN9lQVvuy456fEdGRkJeXh42NjZcmaGhIbp27YrIyEiMHTu20ToNb9ou+O+8ILm5uUI3v9a9Pjk5OZAHUFmY17Ap8BQVG5VLWtba68sLqlFaWgpFBXmZj7WOooI8SktLUVmYB4G8YrPXl0dt98OGZaLWl7SuqHp16r8neDxes94XzYlV0vXrFBUVAZDs+JZj7eBTgDGG8PBwZGZmwsLCAkZGRs1aPzU1FT179nxzRUJkWEpKCgwMDKQdRqurqqrCvXv3UFhYCFtbW7H9x0WhY5t0FB3t+P7uu++wdevWRomKmZkZPD09sWPHjkbrrFu3TuRN24S0d5Ic3zJ/hhyo7brSkptAunfvjpSUFKirq0NOTq7JunU3iaWkpIi8SawjeBe2Eeg428kYQ1FREbp37y7tUN4KHo8HZ2fnf7Ruc47tjq6jvN9lQVvuy456fPN4PJGjoZWVlaFTp04i12l407ZAIEBubi50dHSEju/29l5vb/EC7S9mWY23Ocd3u0jIW0peXr7ZZx40NDRk6kV9G96FbQQ6xnbWjUhChP2TY7uj6wjvd1nRVvuyIx7fhoaGKC0tRX5+PjcqWnV1NV6/ft1o7oE6om7abmpEtfb2Xm9v8QLtL2ZZjFfS41umb+okhBBCSPszbNgw8Hg8nD9/niu7cuUKSktLWzQLLyEd1TtxhpwQQgghbadLly5YsWIFli5diurqaigpKcHX1xfz5s1Dv379pB0eITKHEvIGlJSUsHbt2g49Ruq7sI3Au7OdhAD0fm9NtC9bx6ZNm9CnTx+cOXMG1dXVWLFiBZYsWdLidtvb69Pe4gXaX8ztLV5R2sUoK4QQQgghhHRU1IecEEIIIYQQKaKEnBBCCCGEECmihJwQQgghhBApops6RXj69ClevXoFR0dHsdMmJyUloaioCGZmZlBWVm7jCFsmISEBJSUlMDc3b9c3QNSXmJiI169fw8nJSewEMfHx8SgrK4O5ubnYiSkIaQ/S09ORnJwMKysrsWPuvnz5Eq9fv4apqanMjcsrS3Jzc/HixQsYGhpCW1tbZJ3y8nI8fvwYfD4fpqambRwhqa/utVBXV0ffvn2lHU6TYmJikJ+fL1Smo6ODAQMGSCcgMeLi4pCbmwsnJyeRyxljiIuLQ2VlJSwsLKCoKN3UMScnB3FxcejXrx90dXWFlqWkpODFixdCZYqKihg8eHBbhvjPMML5/fffmZubG9PW1mYA2KtXrxrVyczMZIMHD2aamprMxMSEaWlpsXPnzkkh2uZLT09ntra2TEtLi/Xp04fp6Oiw4OBgaYfVImfPnmVDhw5lWlpaDAArKytrVOfly5fM2tqa6ejoMCMjI6arq8v++usvKURLSMuEhYWxSZMmMV1dXQaA3bp1q1Gd0tJSNmHCBKaqqsr69+/PVFRU2M8//yyFaGVbREQEGzFiBNPR0WEDBw5kqqqqzNvbu9FnyIULF5i2tjYzNjZmmpqazMHBgWVkZEgp6nfbuXPnmJaWFjMxMWGampps8ODBLDMzU9phieXu7s4MDAyYk5MT9/fll19KOyyOv78/c3R0ZFpaWkxBQUFknaSkJGZmZsZ0dXVZr169mL6+Prt9+3YbR1orPj6ezZ49m+nr6zMAzM/Pr1GdDRs2MHV1daF9PmrUKClE23yUkNezdetWduXKFXb58mWxCfnEiROZnZ0dKykpYYwx9u233zJVVVWRdWXNqFGj2JAhQ7gvnLVr1zINDQ2WlZUl5cj+uY0bN7KbN2+ygIAAsQn5sGHD2LBhw1hFRQVjjDFfX1+mpaXF8vLy2jhaQlrm4MGD7PTp0ywpKUlsQr5ixQrWq1cvLmkMCAhgcnJy7P79+20drkz77bffhH6Yv3jxgunr67OVK1dyZRkZGYzP57PNmzczxmp/7Njb27Nx48a1ebzvuvT0dKaqqsq2bNnCGGOspKSEDRo0iE2aNEnKkYnn7u7OfH19pR2GWGvXrmV3795lhw8fFpuQ29vbs9GjR7Pq6mrGGGM+Pj5MT0+Py4Ha0tmzZ9nhw4dZaWlpkwm5o6Njm8fWGighF+HKlSsiE/KsrCwmLy/P/P39ubKysjKmrq7OduzY0cZRNk9aWhqTk5NjQUFBXFlxcTFTUVFhv/zyixQjax3iEvLk5GQGgP3xxx9cWV5eHuPxeOzw4cNtHCUhrePZs2ciE3KBQMB0dHTYxo0bhcoHDBjAfHx82jLEdmnBggXsvffe4x7v2rWL8fl8oc8Vf39/Ji8vL9NnZjuiH374gWloaHAnVhhj7Pjx40xBQYFlZ2dLMTLx3N3d2eLFi1l4eDh7+fIlEwgE0g5JJHEJeXR0NAMgdEY8PT2dycvLs4CAgLYMsZGmEnJbW1sWFRXF4uPjWVVVlRSi+2fops5miI6OhkAggK2tLVemrKwMS0tLREZGSjGyN4uKigJjTCh2NTU1DBgwQOZjb4m6bau/3Zqamujbt2+H3m7ybkpJSUFOTo7Q+x0A7O3t6f3+BowxPHjwACYmJlxZZGQkzM3Nhe4TcnBwgEAgwMOHD6UR5jsrMjISlpaWQvf/ODg4oKamBtHR0VKMrGmHDh3CggULYGVlBUtLS4SHh0s7JImJ+v7U19eHgYGBTH+eREZGwtvbG+7u7tDT04Ofn5+0Q5JIh76pMzo6GoWFhWKXy8nJib2JQZTc3FwAtTdl1Kejo8Mtk1XtOfaWqNu2hjdrdfTtJu+mpo7zv//+WxohtRvff/894uLicPToUa4sNzdX5L6sW0baTnt8LebNm4egoCDw+XyUlZVh3rx5mDhxIh4/fozOnTtLO7w3ys3NhaqqaqOBK2T5+9Pe3h7JyckwNDQEAOzcuRNz5sxB3759Zf7Gzg6dkP/888+IjY0Vu1xRURE3btyQuL26EVfKy8uFysvKymR+FIP6sauoqHDlZWVlje5S7kjqtruioqLRdtNIK6Sjaeozit7v4h0+fBhr1qzBr7/+CktLS66cx+OhqKhIqG5ZWRkA0P5sYzweD6WlpUJlsv5aeHt7c/+rqKhg586d0NPTQ0hICMaNGyfFyCTD4/FQUVEBxpjQ6GWy/Hni6ekp9Hjp0qXYu3cvAgICKCGXpn379rVqe3W/uNLS0qCvr8+Vp6WlwcLColWfq7XVj11LS4srT0tLw9ChQ6UV1ltXf7vrX4pOT0/H2LFjpRUWIW9Fr169ICcnh7S0NKHytLQ09OrVS0pRybZjx47h448/xrFjxzBlyhShZYaGhnj06JFQWd2+pf3ZtgwNDfHXX38JlbW310JHRwcKCgqNjk9ZZWhoiJqaGmRmZkJPTw8AIBAIkJGR0W72OQB069atXexz6kPeDJaWlujWrRvOnz/PlSUmJiIuLg4jR46UYmRvZmtrC21tbaHYHz16hGfPnsl87C3h6OgIdXV1oe0ODw9Henp6h95u8m5SV1eHo6Oj0Pu9qKgI165do/e7CH5+fli4cCGOHj2KDz/8sNHykSNHIiEhAYmJiVzZuXPnoKurC2tr67YM9Z03cuRIxMbG4unTp1zZuXPnoKenJ3RVQ1ZUVFSgpqZGqOzq1auoqamR+RN4dZydnaGkpCT0eXLz5k3k5+fL7OdJSUmJ0OOsrCxERUW1i33eoc+QN9eLFy+QkpKCmJgYAMDff/8NbW1t9O/fH126dIGCggI2b96MRYsWQUtLC7169cL69evh6uqK999/X8rRN43H42HDhg1Yvnw5+Hw+9PX1sXbtWnh4eMDNzU3a4f1jdZM4xcfHAwDu3r2LTp06wcLCApqamlBRUcG6deuwevVqKCsro0uXLli1ahXGjx+PIUOGSDl6QponMzMTSUlJyMjIAADu7K2hoSF69uwJANi0aRM8PT1hZGQEBwcH7Nq1C927d8f8+fOlFrcsOnv2LObOnYtFixahZ8+euH37NoDaG/Xt7OwAgPt8nDJlCtasWYPU1FR899132L17t9QnR3nXjB49Gq6urvDy8sLq1avx4sULbN26FXv37oW8vOydW0xNTcXUqVOxYMECGBsb4/Hjx9i4cSMmTZokM1el6ybUS0pKAgDuGKibcKxz58746quvsHLlSsjJyYHP5+OLL76At7c3rKys2jzegoICoStWiYmJuH37NvT09Lgr4MOHD8fEiRNhY2OD7OxsbNmyBV27dsXixYvbPN7mkmOMMWkHISv27t2L48ePNypfv3493N3ducdBQUE4duwYioqK4OTkhJUrV0JNTa0tQ/3HAgICcOLECZSWlsLFxQWff/45VFVVpR3WP7Zt2zYEBQU1Kt++fTscHR25xydPnoS/vz/KysowfPhwLFu2rN3NsErIxYsX8d133zUq/9e//oXZs2dzj2/duoU9e/bg9evXsLa2xhdffIGuXbu2ZagyT9xnh76+PgICArjHJSUl2L59O27dugU+n49Zs2Zh8uTJbRgpqVNSUoKtW7fizp07UFdXx+zZszFx4kRphyVWYmIi9uzZg7i4OOjp6eH999/HtGnTxM4m3dY2bNiAP//8s1H5L7/8InTV4ciRIwgMDERlZSU8PDzwySefSKUP+f3797F06dJG5ePGjYOvry8AIC8vDz/99BPCwsKgqqoKBwcHLF68uF3kOZSQE0IIIYQQIkWyd52HEEIIIYSQdwgl5IQQQgghhEgRJeSEEEIIIYRIESXkhBBCCCGESBEl5IQQQgghhEgRJeSEEEIIIYRIESXkhBBCCCGESBFNNdaG8vPzce/ePeTn52PMmDFQV1dHcnIyoqOjwePxMGbMmLf23Ddu3IC2trZUZteSpuDgYBQWFgIAvLy8wOPxRNa7ffs21NTUYGNj06z2b9++jdTUVAC1Uzvr6Oi0LGBCCCEy7/Hjx3j16pXQpIHtPZY3tRMREYHS0tImZxqNjo5Gbm4uhg0b1qJYWousxdMUSshbwZ07d5CSktKovEuXLhgxYgSA2ml0bWxsYGlpia5du8LFxQXBwcFYuHAh3N3dYWho2GoJ+bVr16Crqys009bGjRthZ2f31hPyiooKREREICsrCyYmJjAzMxNafufOHQgEAjg7O3OPU1JSMGzYMOjp6XH1MjIycOPGDUyZMgWKiopC+7hTp04wMDDAoEGD3jh99eeffw41NTX07dsX48ePF5uQb9u2Db179+YS8vrPJycnB21tbVhbWzea7TAsLAyhoaEIDAxEaGgoJeREZoWEhOA///kPdHV1ceHCBaFlT548wcyZM7l69Wfhi4iIwJEjR/D48WPweDz069cPc+bMwcCBA7k6UVFR2Lt3L548eQJtbW24ublhzpw5NBsukUmXLl2Cg4MDdHV1cf36dRgbG6NXr17NauPMmTP4448/ZCIhb61Y3tTOoUOHkJqa2mRC/uuvv+L+/ftcAhwVFYWCggK4urq2KLaUlBTExsZi1KhRzVqvYTySaK2Ym4sS8lawY8cOhIaGcklmnb59+3IJ+ZkzZ9C9e3dcu3aNW37w4EF88skn2LRpU6vG880332Do0KFCCfnw4cPRp0+fVn2ehq5fv46ZM2dCQ0MDpqameP78OXg8Hvbu3Qs7OzsAtfuqvLyc21c7duxAYGAgZsyYgePHj3NtRUVFYfr06Rg7diz4fL7QPq6qqkJ4eDiUlJRw6dIlmJqaNhnX3LlzsWTJkmZtS8PXND09HeHh4di8eTOWLVvG1Vu+fDmKi4sRGBjYrPYJaWu5ubkICwuDpqYmQkJC4OLiwi07cOAAEhISkJ+fD4FAwJVv2bIFa9aswaJFi7BixQooKCggISEBCxcuxIYNGzBq1Chcv34dHh4eWLJkCXx9fVFcXIzr169j/PjxuHz5sjQ2lRCxysvLMXnyZO7Kpre3N4KDg5udkBPRrK2toa6uzj0+fvw4YmJiWpzc/vTTT3j9+nWzE/J/orVibi5KyFuJjY0N/P39RS67efMmbty4gaqqKqE6iYmJ6Nq1K/z9/WFmZsadvRYIBAgPD0dGRgaMjY1hYWHRqE3GGB48eID09HRYWVmhd+/eAGrP7L5+/RqPHz/mnmvChAlwcnKCtrY2ACAyMhK5ubmNfgVHREQgLy+PK5ckjvq8vb0xZcoU7N69myuLjo5Gfn5+k+sZGRnh5MmTWL58eZNdRurv44qKCtja2mLlypU4d+5ck+2LUlhYiJCQEGhpaYl9zoav6fbt27Fy5Up8/PHHUFVVbfZzEiILvL29cejQIS4hr66uxtGjRzFjxgz8/PPPXL0bN27A19cXx44dw6xZs7jykSNHYsmSJSgpKQEA/PLLL3Bzc8OOHTu4OpMmTUJxcXEbbREhkgsLC0Pv3r2hq6uLpKQklJSUSHTluKqqCiEhIWCMNfk99fjxYyQmJqJHjx6wsbEReRU3ISEB8fHxMDIyavTcAoEAf//9N9LT09GnTx+hK1GtHYuk7TRUUlKCqKgo5OXlwcXFBRoaGtwyc3Nz6OvrAwDi4uKQkJCAjIwM7rvU2dkZPXr0QGpqKh4+fAgtLS0MGjTojVfTLl68iG+++Ubs8ua019Q+birmt40S8jYQGhqKhIQEZGdnIygoiCsvKChAbGwsqqurwRiDlZUVUlJSMH78eJSVlcHU1BSRkZGwtrZGYGAglJSUAAAvX77ExIkTkZGRARsbGyQkJGDu3Ln4+uuvER4ejuzsbCQkJHDP5eHhIdRlJTk5GR999BEyMzOhpqbGxTN37lyMGTMG7u7uEsVRX3Z2NjIyMhol+ZJ80A0aNAgDBw6Er6+vxGfUlJSU4ObmhvPnz0tUv77IyEh4eHhAT08P3bp1w4sXL6CkpMT9qBHH0NAQNTU1KC8vp4SctFvz58+Hs7Mzdu/eDXV1dVy8eBGqqqpwdXUVSsj37NmD/v37c11ZGqr77KiurkZeXh4EAgHk5f83TgCfz3+7G0JIM5w6dQoCgQC///47unTpAn9/f4SGhqJ79+4ICAiAlpYWPD09Ra6blZUFNzc3FBQUwNzcHI8ePWp0xbmsrAze3t4ICwuDnZ0dnj59CkVFRVy4cIE7+15aWoqZM2fi6tWrGDx4MDIzM2FiYoLTp08DqL2KNXr0aKSkpMDa2hphYWEYMmQIAgMDuW5krRWLJO2I8uTJEwwcOBCGhobIzMxERkYGLl++zCX09buIJCUlISkpCQUFBVw+YmJiglOnTmHNmjVwcnJCRUUFsrKycOrUqUZdXOs8f/4cT548gYeHh8jlO3bskLi9N+1jcTG3RUIORlrMy8uL2djYsJMnTwr9RUREcHW+/vpr5urqKrSetbU127p1q1CZi4sLW7JkCRMIBIwxxkpLS5mNjQ3bsGEDV2fIkCHM3d2dlZSUMMYYq6mpYRcuXOCWu7q6sq+//lqoXXd3d+br68sYY6y8vJxpamqy48ePc8sfPXrEALDY2FiJ42jI2NiY2djYsD///JOLTdS+GjNmjNBjLy8vFh8fzxQUFNjly5cZY4z9/vvvDAArKioSuR5jjI0ePZrZ29uLjYcxxvr168d2794tVObo6MhmzpzJbdvZs2cZAPbZZ58JxVX/Nf3hhx9Ynz592LJlyxo9R1FREQPAQkNDm4yFEGmqe5+XlZUxR0dHtn//fsYYY2PGjGEbN25kAQEB3HLGGOvbty+bNm3aG9u9du0aU1ZWZgMGDGArV65kp0+fZrm5uW91WwhpLm9vbzZt2jSmoaHBXF1d2bRp01i3bt2Yo6MjmzZtGvf9KMqiRYvYoEGDWHFxMWOMsYSEBKaiosKcnJy4Op9//jlzdXXljh+BQMBmzZrFJkyYwNX55JNPmKGhIUtNTeXKgoKCuP+XLFnCzM3NWUFBAWOMsZSUFKarq8u2b9/e6rFI0k5DPj4+DACXbwgEAjZ9+nTm6OjI1fH19WXu7u7c4+XLlzNPT0/usUAgYBoaGuzMmTNc2bNnz4TypYZ27drFRowYIXLZm9prGI8k+7hhzG2Fhj1sJZmZmQgKChL6e/ToUbPaSE5ORkhICIyNjREYGIiAgABcuHABxsbGuH79OgAgKSkJd+/exfr167mztPLy8hg7dqzEz6OkpAQvLy+cOHGCKztx4gRsbGxgZmYmURyiXLp0Cd27d8e4ceOgoaEBe3t7bNu2DZWVlW+MqV+/fpg/fz6++OILMMZE1klPT4e/vz/8/Pzw8ccf4+rVq1i3bp3E2w3U/tIOCwvDihUrICcnBwCYOHGiyH7o9V/T4OBgCAQCmJubN+v5CJFF8+fPx8GDB5Geno4rV65gzpw5jeqUl5cLXYoWZ/jw4YiLi4O3tzciIiIwd+5cdOvWrdXvjSGkJU6cOIEDBw6goqICp06dwsmTJyEQCLBv3z74+/vju+++E7vuqVOnsHjxYu6qkKmpKSZNmsQtZ4zhyJEjsLS0xMWLFxEQEICAgADo6+tz35mMMfj5+WHZsmVCZ1snTJjA/e/v7w8fHx/uuDMwMMBHH30k1HWyNWKRpB1x+vfvz+UbcnJyWLlyJcLCwvDixYs3rlu3jrKyMmJiYlBTUwMAQgMqiHLx4kWxOU5z25NkH0sLdVlpJU31IZfU8+fPAQC3bt0SGg1EQUEBgwYNAlDbXQXAG29kfJMZM2bAw8MDWVlZ6NKlC06ePIlPP/1U4jhE6devHy5evIji4mI8ePAAwcHBWL16NaKiooRu2BRn3bp1MDExwcmTJ7n+7vXVJcjl5eUICQnBhAkTxF7CEqdu/zXsnmJkZNSobsPX9O7du3BycoKxsXG7GEKJEHE+/PBDLFu2DCtWrMCIESNEXo7t2bMnnj17JlF7vXv3xqpVq7Bq1SpUVVVh/fr1WLVqFUaMGAFHR8fWDp+QZrl69SqysrIQExMDHR0dXLt2Denp6SgqKkJcXBzi4uIwdepUoS5XdUpLS5GTkyPyO6MuCS0qKkJubi5iYmKQlZUlVO/9999HVVUVSktLkZ+fL/a7u7S0FNnZ2Y26jRgbG+PYsWOtGktVVdUb2xFH3HfnixcvYGho2OS6dY4dO4ZPP/0UO3fuhIuLCz744ANMnz6dO0lWX0lJCW7evIk9e/a0uD1J9rE0UUIuQ+p+sa1du1Zs32tNTU0AQE5ODnR1df/xc9UNM/jbb7/B2toaqampmD59usRxNIXP58PV1RWurq5QVVXF5s2bceTIkTcOUaivr4+lS5di1apV2LlzZ6Pl9RPktLQ02NraYu3atc06E1c3LGFeXh46d+7Mlefl5b1x3SFDhkBLSwtXr16lhJy0a+rq6vjggw9w5MgRsSMEjR8/HmvWrMGzZ89E/mAVh8fjYfny5di0aRMSEhIoISdSd+vWLcTHxyM0NBRdu3ZFUFAQoqKiYGhoyPUT9vLyEpmQq6ioQEVFpdF3RP3HKioqUFRUxKxZszBv3jyRMaipqYHH4yEnJ0fkclVVVaiqqiI3N1eoPDc3F126dGnVWBQVFd/Yjjji1qmLURKenp5ISEhAcnIy/vjjD3z22Wd48uQJ1qxZ06ju5cuXYWRkBGNj4xa3J8k+libqsiJDrK2toaenh7179zZalp6eDqD2Jslu3bo1+jVX/5cwn89HeXl5k88lJyeH6dOn48SJEzhx4gTc3Ny4O6MliaOhyspKkcvKy8vB5/PfmIzX8fX1RWFhYZO/hgGgR48e+P7777Ft2zYkJydL1DZQOxRlt27dhG6uff78OSIiIt64blZWFgoKCoTGSyekvdqyZQtCQ0Mxfvx4kct9fHxgYmKCGTNmcFfNAKCmpgbHjx/H3bt3AfxviNA6jDEcOnQI8vLy3HCnhEjTunXr4O/vDy0tLWzevBn+/v4wMjLCypUr4e/vD39/f7FzVMjJycHJyUnoO6OyshIXL17kHvN4PLi7u2P//v1Cw4YCtSePgNokePjw4fDz8xNaXv+728nJCWfOnOEeM8YQGBjIjfvdWrFI0o44ERERQvOunDlzBt26dYOJiYnI+g3zkcrKSm6b+/Tpg8WLF2Pq1Km4d++eyPWb6q7yT9p70z4WFXNboTPkraSuf3N9KioqQv3D3oTH4+HgwYPw8vJCVlYWPDw8kJ2djQsXLsDb2xtLliwBj8fDvn37MHXqVLx69QpOTk6IiYlBeno6Tp06BQCws7PDsWPHYGZmBlVVVbExzJw5E1u3bkVMTIzQ6AqSxNFQRUUFhg4disGDB8POzg5aWlq4f/8+9u/fj++//17ifaChoYFVq1YJjfUtzqxZs7B9+3Z8/fXXOHnypETtd+rUCRs2bMCSJUuQnZ0NPT09/PTTT0Ljptap/5rm5ubiwIED6N27N7y9vSXeHkJkla6ubpNX2fh8PkJCQrB06VIMGDAAvXv3hry8PF6+fAkvLy98++23AAALCwv4+vri0aNHMDQ0REZGBhQUFHD48GGxoyYQ0tbqRjUbMmQIBAIBQkND8eOPP0q07saNG+Hi4gJlZWU4ODjg119/RWlpqVCdXbt2wdXVFc7Ozpg+fTpqampw/fp1aGtr49ChQwBqf7y6urrC09MTkyZNQkZGBne2Hqj9kezk5ITZs2fD2dkZQUFBSElJERpNrLVikaQdUfh8Pjw8PODj44OMjAxs3boVP//8s9BkYvXZ2dlh69at2L17N3R1dWFjY4MxY8Zg9OjRsLa2RmZmJo4fPy7yqjhjDMHBwU12B66oqMB7770nUXuAZPu4Ycw07GE7MnToUCgqKgr92gRqu5fUJcNWVlaN3rCjRo1C//79hcpGjx6NmJgY+Pn54fbt2zAwMMDOnTvh4ODA1ZkwYQIiIyNx7Ngx3L17F4MGDcKWLVu45b6+vujcuTNu376N0tJSeHh4iJwYyMrKCj4+PsjJycHkyZObHUd96urqSEhIwNmzZxEWFoaYmBj06NEDYWFhQv3Ohw4dKnSTp6gZvxYvXoyHDx+irKyMO2vRcD2g9mbWXbt2Yf/+/cjNzRXZ7xyo/UXv7+8PLy8v8Hg8LFy4EPr6+lx/9P379yM8PFwoOWn4mmpqamLevHmYM2eO0HBut2/fxtOnT0U+LyGyxNXVFaGhoSKHLQUANze3Rst1dHTg5+eHffv24enTp+DxeOjTp4/QZ9nIkSMxcuRIFBYW4tmzZ9DS0kKPHj2goKDw1reJEEmlpaXBx8cHnTt3RmZmJiZNmiTxvViOjo4IDQ3FoUOHEB0djUWLFqFTp054+PAhV8fU1BSxsbE4cuQIHjx4AC0tLcyfPx/jxo3j6piZmeHRo0c4ePAg7t27BxMTE/z111/c8oEDByIqKgoHDx7ErVu3YG9vjwMHDnBXr1szFknaacjW1hZGRkawt7fH+fPnkZ+fjzNnzgjNMt5wYqCxY8di3759CAkJQWFhIUxMTBAZGYmjR48iNDQUGhoaOHfunMhuoPfv30d5eTmcnJzExqSurt5kew3jkWQfi4q5LRJyOSZuSAtCOoDly5dzl+kOHTrU6uOHb9++HeHh4QBqzziIu2xHCCGEEMmtXbsWiYmJEl8Bb+8oISeEEEIIITJlw4YNeO+99zBixAhph9ImKCEnhBBCCCFEimiUFUIIIYQQQqSIEnJCCCGEEEKkiBJyQgghhBBCpIgSckIIIYQQQqSIEnJCCCGEEEKkiBJyQgghhBBCpIgSckIIIYQQQqSIEnJCCCGEEEKkiBJyQgghhBBCpIgSckIIIYQQQqTo/wEOb+361rmKKQAAAABJRU5ErkJggg==", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def pairplot(dict, keys, suptitle=None, figsize=2.5):\n", " fig, axs = plt.subplots(len(keys), len(keys),\n", " figsize=[len(keys)*figsize]*2)\n", " for row, key_row in enumerate(keys):\n", " for col, key_col in enumerate(keys):\n", " ax = axs[row, col]\n", " ax.grid()\n", " if row == col:\n", " ax.hist(dict[key_row], bins=30,\n", " color='skyblue', edgecolor='k',\n", " linewidth=.5)\n", " elif col > row:\n", " fig.delaxes(ax)\n", " else:\n", " ax.scatter(dict[key_col], dict[key_row],\n", " s=16, color='skyblue', alpha=0.9,\n", " linewidths=.5, edgecolor='k')\n", " ax.set_ylabel(key_row)\n", " ax.set_xlabel(key_col)\n", " if suptitle is not None:\n", " fig.suptitle(suptitle, y=1, fontsize=17)\n", " fig.tight_layout()\n", " return fig, axs\n", "\n", "\n", "fig, axs = pairplot(results_avg,\n", " ['Effective SINR [dB]', 'MCS', '# decoded bits / slot'],\n", " suptitle='MCS, SINR, and throughput')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As expected, as the SINR increases, higher MCS indices are used, resulting in higher throughput." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Link adaptation\n", "\n", "To main goal of link adaptation (LA) is to adapt the modulation and coding scheme\n", "(MCS), thereby the transmission speed and reliability, to the evolving channel\n", "conditions.\n", "\n", "LA addresses this problem by maintaining the transport block error\n", "rate (TBLER) around a pre-defined target, e.g., 10%, whenever possible. \n", "\n", "Since LA must deal with potentially outdated and noisy channel condition\n", "feedback, it corrects the estimated SINR by applying an offset through a\n", "feedback loop, known as outer-loop LA (OLLA). \n", "For more details on OLLA, please see [this notebook](https://nvlabs.github.io/sionna/sys/tutorials/notebooks/LinkAdaptation.html).\n", "\n", "Below we visualize the relationship among the TBLER, MCS index, and OLLA offset." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:13:51.847441Z", "iopub.status.busy": "2026-08-06T22:13:51.847297Z", "iopub.status.idle": "2026-08-06T22:13:52.154115Z", "shell.execute_reply": "2026-08-06T22:13:52.153178Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = pairplot(results_avg,\n", " ['TBLER', 'MCS', 'OLLA offset'],\n", " suptitle='TBLER, MCS, and OLLA offset')\n", "for ii in range(3):\n", " axs[ii, 0].plot([bler_target]*2, axs[ii, 0].get_ylim(), '--k')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From the MCS vs. TBLER figure we observe that the TBLER of users with low MCS\n", "index, i.e., in bad channel conditions, is far from the target. This occurs\n", "since at low MCS values, further spectral efficiency reduction is not feasible,\n", "making it impossible to maintain the BLER at the target. For such users, the\n", "OLLA offset tries to over-compensate, unsuccessfully, the estimated SINR (see offset vs. MCS figure). " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Scheduler\n", "\n", "The main principles of proportional fairness (PF) scheduling are to \n", "- Distribute the available time/frequency resources uniformly across users;\n", "- Schedule users when their channel quality is high, relatively to their past average.\n", "\n", "The scheduler assigns a resource to the user with the highest PF metric, which\n", "is defined as the ratio between the achievable rate and the achieved throughput. \n", "An effective PF scheduler ensures that this metric remains low across all users." ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "execution": { "iopub.execute_input": "2026-08-06T22:13:52.156559Z", "iopub.status.busy": "2026-08-06T22:13:52.156422Z", "iopub.status.idle": "2026-08-06T22:13:52.462409Z", "shell.execute_reply": "2026-08-06T22:13:52.461439Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = pairplot(results_avg,\n", " ['# allocated REs / slot', 'PF metric', 'MCS'],\n", " suptitle='PF metric, allocated resources, and MCS')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusions\n", "\n", "Sionna SYS enables large-scale system-level simulations using\n", "3GPP-compliant channel models generated via Sionna PHY.\n", "\n", "We demonstrated how to integrate key SYS modules, including multicell\n", "topology generation, phyisical layer abstraction, and layer-2 functionalities\n", "such as link adaptation, scheduling, and power control.\n", "\n", "To simplify the implementation, we assume *perfect* channel estimation and *exclude* handover management.\n", "\n", "For a more straightforward example of assembling the SYS modules together with\n", "ray-traced channels, we refer to the\n", "[Sionna SYS meets RT notebook](https://nvlabs.github.io/sionna/sys/tutorials/notebooks/SYS_Meets_RT.html)." ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.12" } }, "nbformat": 4, "nbformat_minor": 2 }