diff --git a/.github/workflows/deploy-pages.yaml b/.github/workflows/deploy-pages.yaml
index 606c0e82..b6a32951 100644
--- a/.github/workflows/deploy-pages.yaml
+++ b/.github/workflows/deploy-pages.yaml
@@ -29,6 +29,7 @@ jobs:
     - name: Copy examples to docs
       working-directory: ${{runner.workspace}}/flasc/
       run: |
+        rsync -av --mkpath  examples_artificial_data/01_raw_data_processing/ docs/examples/01_raw_data_processing
         rsync -av --mkpath  examples_artificial_data/03_energy_ratio/ docs/examples/03_energy_ratio
         rsync -av --mkpath  examples_artificial_data/floris_input_artificial/ docs/examples/floris_input_artificial
         ls docs/examples
diff --git a/docs/_toc.yml b/docs/_toc.yml
index ab8101e2..4af30813 100644
--- a/docs/_toc.yml
+++ b/docs/_toc.yml
@@ -23,10 +23,12 @@ parts:
   #   - file: contributing
   #   - file: development
   #   - file: testing
+  - caption: Examples Data Processing
+    chapters:
+    - file: examples/01_raw_data_processing/03_northing_calibration_hoger
 
-  - caption: Examples
+  - caption: Examples Energy Ratio
     chapters:
-    # - file: flascdataframe
     - file: examples/03_energy_ratio/00_demo_energy_ratio_syntax
     - file: examples/03_energy_ratio/01_demo_energy_ratio_options
 
diff --git a/examples_artificial_data/01_raw_data_processing/03_northing_calibration_hoger.ipynb b/examples_artificial_data/01_raw_data_processing/03_northing_calibration_hoger.ipynb
new file mode 100644
index 00000000..3b265f29
--- /dev/null
+++ b/examples_artificial_data/01_raw_data_processing/03_northing_calibration_hoger.ipynb
@@ -0,0 +1,3918 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Northing Calibration in FLASC"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Northing calibration, that is the detection of bias and changes in measurements of turbine yaw are important for many of the analysis in FLASC.  This notebook demonstrates the use of several of these tools in FLASC for the calibration of northing measurements."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import warnings as wn\n",
+    "from datetime import timedelta as td\n",
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from floris import TimeSeries\n",
+    "from floris.layout_visualization import plot_turbine_labels, plot_turbine_points\n",
+    "from floris.utilities import wrap_360\n",
+    "from matplotlib import pyplot as plt\n",
+    "\n",
+    "from flasc import FlascDataFrame\n",
+    "from flasc.data_processing import (\n",
+    "    dataframe_manipulations as dfm,\n",
+    "    energy_ratio_wd_bias_estimation as best,\n",
+    "    filtering as filt,\n",
+    "    northing_offset as nof,\n",
+    ")\n",
+    "from flasc.data_processing.northing_offset_change_hoger import homogenize_hoger\n",
+    "from flasc.utilities import (\n",
+    "    floris_tools as ftools,\n",
+    "    optimization as flopt,\n",
+    ")\n",
+    "from flasc.utilities.utilities_examples import load_floris_artificial as load_floris"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load FLORIS model and show layout"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load FLORIS model\n",
+    "fm, turbine_weights = load_floris()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Show the layout\n",
+    "fig, ax = plt.subplots()\n",
+    "plot_turbine_points(fm, ax)\n",
+    "plot_turbine_labels(fm, ax)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Generate data set to illustrate operations"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For simplicity assume a fixed wind speed and turbulence intensity and uniform wind direction.  Perturb the wind direction by random noise"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set wind direction to step from 90 to 270, in steps that are 600 long and 10 degrees wide\n",
+    "\n",
+    "wind_directions = np.linspace(90, 270, 10)\n",
+    "wind_directions = np.tile(wind_directions, 600)\n",
+    "wind_directions = np.sort(wind_directions)\n",
+    "\n",
+    "# Apply noise\n",
+    "np.random.seed(0)\n",
+    "noise = np.random.normal(0, 5.0, wind_directions.shape)\n",
+    "wind_directions = wind_directions + noise\n",
+    "\n",
+    "# Set a FLORIS time series object\n",
+    "time_series = TimeSeries(\n",
+    "    wind_directions=wind_directions, wind_speeds=8.0, turbulence_intensities=0.06\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate FLORIS solution\n",
+    "fm.set(wind_data=time_series)\n",
+    "fm.run()\n",
+    "turbine_powers = fm.get_turbine_powers()\n",
+    "\n",
+    "# Add random noise to the power output\n",
+    "turbine_powers = turbine_powers + np.random.normal(0, 25.0, turbine_powers.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Use the results to create a FLASC dataframe representing hypothetical scada data\n",
+    "df_scada = FlascDataFrame(\n",
+    "    {\n",
+    "        \"time\": pd.date_range(start=\"1/1/2020\", periods=len(wind_directions), freq=\"600s\"),\n",
+    "        \"wind_directions\": wind_directions,\n",
+    "        \"wind_speeds\": 8.0 * np.ones_like(wind_directions),\n",
+    "        \"ti\": 0.06 * np.ones_like(wind_directions),\n",
+    "    }\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "FlascDataFrame in FLASC format\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>time</th>\n",
+       "      <th>wind_directions</th>\n",
+       "      <th>wind_speeds</th>\n",
+       "      <th>ti</th>\n",
+       "      <th>pow_000</th>\n",
+       "      <th>pow_001</th>\n",
+       "      <th>pow_002</th>\n",
+       "      <th>pow_003</th>\n",
+       "      <th>pow_004</th>\n",
+       "      <th>pow_005</th>\n",
+       "      <th>...</th>\n",
+       "      <th>wd_004</th>\n",
+       "      <th>wd_005</th>\n",
+       "      <th>wd_006</th>\n",
+       "      <th>ws_000</th>\n",
+       "      <th>ws_001</th>\n",
+       "      <th>ws_002</th>\n",
+       "      <th>ws_003</th>\n",
+       "      <th>ws_004</th>\n",
+       "      <th>ws_005</th>\n",
+       "      <th>ws_006</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020-01-01 00:00:00</td>\n",
+       "      <td>98.820262</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>1.754006e+06</td>\n",
+       "      <td>1.753879e+06</td>\n",
+       "      <td>6.357473e+05</td>\n",
+       "      <td>9.640375e+05</td>\n",
+       "      <td>9.666355e+05</td>\n",
+       "      <td>1.753524e+06</td>\n",
+       "      <td>...</td>\n",
+       "      <td>99.644321</td>\n",
+       "      <td>101.107205</td>\n",
+       "      <td>99.348930</td>\n",
+       "      <td>8.011852</td>\n",
+       "      <td>8.162351</td>\n",
+       "      <td>8.159744</td>\n",
+       "      <td>7.899556</td>\n",
+       "      <td>8.076833</td>\n",
+       "      <td>8.185659</td>\n",
+       "      <td>8.064289</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020-01-01 00:10:00</td>\n",
+       "      <td>92.000786</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>1.753913e+06</td>\n",
+       "      <td>1.753904e+06</td>\n",
+       "      <td>1.409497e+06</td>\n",
+       "      <td>8.553318e+05</td>\n",
+       "      <td>9.171484e+05</td>\n",
+       "      <td>1.753951e+06</td>\n",
+       "      <td>...</td>\n",
+       "      <td>82.166085</td>\n",
+       "      <td>88.043464</td>\n",
+       "      <td>89.257707</td>\n",
+       "      <td>8.175628</td>\n",
+       "      <td>7.808788</td>\n",
+       "      <td>8.023940</td>\n",
+       "      <td>8.084883</td>\n",
+       "      <td>8.080681</td>\n",
+       "      <td>7.849506</td>\n",
+       "      <td>7.913113</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020-01-01 00:20:00</td>\n",
+       "      <td>94.893690</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>1.753985e+06</td>\n",
+       "      <td>1.753891e+06</td>\n",
+       "      <td>9.842584e+05</td>\n",
+       "      <td>6.162996e+05</td>\n",
+       "      <td>6.600864e+05</td>\n",
+       "      <td>1.753942e+06</td>\n",
+       "      <td>...</td>\n",
+       "      <td>94.712330</td>\n",
+       "      <td>92.252229</td>\n",
+       "      <td>90.985282</td>\n",
+       "      <td>7.991109</td>\n",
+       "      <td>7.892661</td>\n",
+       "      <td>7.928803</td>\n",
+       "      <td>8.081048</td>\n",
+       "      <td>8.073745</td>\n",
+       "      <td>8.091502</td>\n",
+       "      <td>8.053268</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020-01-01 00:30:00</td>\n",
+       "      <td>101.204466</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>1.753950e+06</td>\n",
+       "      <td>1.753555e+06</td>\n",
+       "      <td>8.123594e+05</td>\n",
+       "      <td>1.319409e+06</td>\n",
+       "      <td>1.170321e+06</td>\n",
+       "      <td>1.751776e+06</td>\n",
+       "      <td>...</td>\n",
+       "      <td>110.699134</td>\n",
+       "      <td>93.116417</td>\n",
+       "      <td>108.537493</td>\n",
+       "      <td>7.917771</td>\n",
+       "      <td>8.077458</td>\n",
+       "      <td>7.942418</td>\n",
+       "      <td>7.960415</td>\n",
+       "      <td>7.766181</td>\n",
+       "      <td>7.875381</td>\n",
+       "      <td>8.012211</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020-01-01 00:40:00</td>\n",
+       "      <td>99.337790</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>1.754020e+06</td>\n",
+       "      <td>1.753852e+06</td>\n",
+       "      <td>6.487232e+05</td>\n",
+       "      <td>1.043126e+06</td>\n",
+       "      <td>1.030381e+06</td>\n",
+       "      <td>1.753318e+06</td>\n",
+       "      <td>...</td>\n",
+       "      <td>95.656436</td>\n",
+       "      <td>92.461185</td>\n",
+       "      <td>106.783658</td>\n",
+       "      <td>7.850214</td>\n",
+       "      <td>7.973655</td>\n",
+       "      <td>8.028457</td>\n",
+       "      <td>8.225742</td>\n",
+       "      <td>8.147089</td>\n",
+       "      <td>7.934316</td>\n",
+       "      <td>7.798261</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5995</th>\n",
+       "      <td>2020-02-11 15:10:00</td>\n",
+       "      <td>263.345981</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>1.753204e+06</td>\n",
+       "      <td>1.687681e+06</td>\n",
+       "      <td>1.753965e+06</td>\n",
+       "      <td>1.730570e+06</td>\n",
+       "      <td>1.753947e+06</td>\n",
+       "      <td>8.849585e+05</td>\n",
+       "      <td>...</td>\n",
+       "      <td>261.464863</td>\n",
+       "      <td>265.654828</td>\n",
+       "      <td>265.006674</td>\n",
+       "      <td>7.867506</td>\n",
+       "      <td>8.118957</td>\n",
+       "      <td>7.879889</td>\n",
+       "      <td>7.999180</td>\n",
+       "      <td>8.046216</td>\n",
+       "      <td>7.930540</td>\n",
+       "      <td>7.880831</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5996</th>\n",
+       "      <td>2020-02-11 15:20:00</td>\n",
+       "      <td>271.762993</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>1.435174e+06</td>\n",
+       "      <td>1.752561e+06</td>\n",
+       "      <td>1.753922e+06</td>\n",
+       "      <td>9.033320e+05</td>\n",
+       "      <td>1.753985e+06</td>\n",
+       "      <td>1.702120e+06</td>\n",
+       "      <td>...</td>\n",
+       "      <td>271.559170</td>\n",
+       "      <td>267.387924</td>\n",
+       "      <td>271.051594</td>\n",
+       "      <td>8.028336</td>\n",
+       "      <td>8.219887</td>\n",
+       "      <td>7.878284</td>\n",
+       "      <td>8.086875</td>\n",
+       "      <td>8.154903</td>\n",
+       "      <td>8.149477</td>\n",
+       "      <td>8.080819</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5997</th>\n",
+       "      <td>2020-02-11 15:30:00</td>\n",
+       "      <td>267.310576</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>1.728385e+06</td>\n",
+       "      <td>1.740995e+06</td>\n",
+       "      <td>1.753938e+06</td>\n",
+       "      <td>1.521491e+06</td>\n",
+       "      <td>1.753960e+06</td>\n",
+       "      <td>1.223109e+06</td>\n",
+       "      <td>...</td>\n",
+       "      <td>267.398639</td>\n",
+       "      <td>263.998493</td>\n",
+       "      <td>270.306531</td>\n",
+       "      <td>8.020642</td>\n",
+       "      <td>8.044316</td>\n",
+       "      <td>8.031791</td>\n",
+       "      <td>8.170447</td>\n",
+       "      <td>8.253171</td>\n",
+       "      <td>8.056111</td>\n",
+       "      <td>7.903335</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5998</th>\n",
+       "      <td>2020-02-11 15:40:00</td>\n",
+       "      <td>271.967222</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>1.408887e+06</td>\n",
+       "      <td>1.752647e+06</td>\n",
+       "      <td>1.753962e+06</td>\n",
+       "      <td>8.717409e+05</td>\n",
+       "      <td>1.753956e+06</td>\n",
+       "      <td>1.709693e+06</td>\n",
+       "      <td>...</td>\n",
+       "      <td>270.043104</td>\n",
+       "      <td>273.116864</td>\n",
+       "      <td>281.039771</td>\n",
+       "      <td>8.063863</td>\n",
+       "      <td>7.936743</td>\n",
+       "      <td>8.230575</td>\n",
+       "      <td>8.071727</td>\n",
+       "      <td>7.996428</td>\n",
+       "      <td>8.013610</td>\n",
+       "      <td>8.109070</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5999</th>\n",
+       "      <td>2020-02-11 15:50:00</td>\n",
+       "      <td>271.432591</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>1.475155e+06</td>\n",
+       "      <td>1.752267e+06</td>\n",
+       "      <td>1.753954e+06</td>\n",
+       "      <td>9.545584e+05</td>\n",
+       "      <td>1.753887e+06</td>\n",
+       "      <td>1.687766e+06</td>\n",
+       "      <td>...</td>\n",
+       "      <td>269.690265</td>\n",
+       "      <td>269.465325</td>\n",
+       "      <td>269.938743</td>\n",
+       "      <td>7.972016</td>\n",
+       "      <td>8.079571</td>\n",
+       "      <td>8.001622</td>\n",
+       "      <td>8.017239</td>\n",
+       "      <td>8.017320</td>\n",
+       "      <td>8.013297</td>\n",
+       "      <td>7.983608</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>6000 rows × 25 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    time  wind_directions  wind_speeds    ti       pow_000  \\\n",
+       "0    2020-01-01 00:00:00        98.820262          8.0  0.06  1.754006e+06   \n",
+       "1    2020-01-01 00:10:00        92.000786          8.0  0.06  1.753913e+06   \n",
+       "2    2020-01-01 00:20:00        94.893690          8.0  0.06  1.753985e+06   \n",
+       "3    2020-01-01 00:30:00       101.204466          8.0  0.06  1.753950e+06   \n",
+       "4    2020-01-01 00:40:00        99.337790          8.0  0.06  1.754020e+06   \n",
+       "...                  ...              ...          ...   ...           ...   \n",
+       "5995 2020-02-11 15:10:00       263.345981          8.0  0.06  1.753204e+06   \n",
+       "5996 2020-02-11 15:20:00       271.762993          8.0  0.06  1.435174e+06   \n",
+       "5997 2020-02-11 15:30:00       267.310576          8.0  0.06  1.728385e+06   \n",
+       "5998 2020-02-11 15:40:00       271.967222          8.0  0.06  1.408887e+06   \n",
+       "5999 2020-02-11 15:50:00       271.432591          8.0  0.06  1.475155e+06   \n",
+       "\n",
+       "           pow_001       pow_002       pow_003       pow_004       pow_005  \\\n",
+       "0     1.753879e+06  6.357473e+05  9.640375e+05  9.666355e+05  1.753524e+06   \n",
+       "1     1.753904e+06  1.409497e+06  8.553318e+05  9.171484e+05  1.753951e+06   \n",
+       "2     1.753891e+06  9.842584e+05  6.162996e+05  6.600864e+05  1.753942e+06   \n",
+       "3     1.753555e+06  8.123594e+05  1.319409e+06  1.170321e+06  1.751776e+06   \n",
+       "4     1.753852e+06  6.487232e+05  1.043126e+06  1.030381e+06  1.753318e+06   \n",
+       "...            ...           ...           ...           ...           ...   \n",
+       "5995  1.687681e+06  1.753965e+06  1.730570e+06  1.753947e+06  8.849585e+05   \n",
+       "5996  1.752561e+06  1.753922e+06  9.033320e+05  1.753985e+06  1.702120e+06   \n",
+       "5997  1.740995e+06  1.753938e+06  1.521491e+06  1.753960e+06  1.223109e+06   \n",
+       "5998  1.752647e+06  1.753962e+06  8.717409e+05  1.753956e+06  1.709693e+06   \n",
+       "5999  1.752267e+06  1.753954e+06  9.545584e+05  1.753887e+06  1.687766e+06   \n",
+       "\n",
+       "      ...      wd_004      wd_005      wd_006    ws_000    ws_001    ws_002  \\\n",
+       "0     ...   99.644321  101.107205   99.348930  8.011852  8.162351  8.159744   \n",
+       "1     ...   82.166085   88.043464   89.257707  8.175628  7.808788  8.023940   \n",
+       "2     ...   94.712330   92.252229   90.985282  7.991109  7.892661  7.928803   \n",
+       "3     ...  110.699134   93.116417  108.537493  7.917771  8.077458  7.942418   \n",
+       "4     ...   95.656436   92.461185  106.783658  7.850214  7.973655  8.028457   \n",
+       "...   ...         ...         ...         ...       ...       ...       ...   \n",
+       "5995  ...  261.464863  265.654828  265.006674  7.867506  8.118957  7.879889   \n",
+       "5996  ...  271.559170  267.387924  271.051594  8.028336  8.219887  7.878284   \n",
+       "5997  ...  267.398639  263.998493  270.306531  8.020642  8.044316  8.031791   \n",
+       "5998  ...  270.043104  273.116864  281.039771  8.063863  7.936743  8.230575   \n",
+       "5999  ...  269.690265  269.465325  269.938743  7.972016  8.079571  8.001622   \n",
+       "\n",
+       "        ws_003    ws_004    ws_005    ws_006  \n",
+       "0     7.899556  8.076833  8.185659  8.064289  \n",
+       "1     8.084883  8.080681  7.849506  7.913113  \n",
+       "2     8.081048  8.073745  8.091502  8.053268  \n",
+       "3     7.960415  7.766181  7.875381  8.012211  \n",
+       "4     8.225742  8.147089  7.934316  7.798261  \n",
+       "...        ...       ...       ...       ...  \n",
+       "5995  7.999180  8.046216  7.930540  7.880831  \n",
+       "5996  8.086875  8.154903  8.149477  8.080819  \n",
+       "5997  8.170447  8.253171  8.056111  7.903335  \n",
+       "5998  8.071727  7.996428  8.013610  8.109070  \n",
+       "5999  8.017239  8.017320  8.013297  7.983608  \n",
+       "\n",
+       "[6000 rows x 25 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Add the turbine powers to the dataframe with some added noise\n",
+    "for t_idx in range(fm.n_turbines):\n",
+    "    df_scada[f\"pow_{t_idx:03d}\"] = turbine_powers[:, t_idx]\n",
+    "\n",
+    "# Set the turbine wind directions to be the true wind direction with some added noise\n",
+    "for t_idx in range(fm.n_turbines):\n",
+    "    df_scada[f\"wd_{t_idx:03d}\"] = wrap_360(\n",
+    "        wind_directions + np.random.normal(0, 5.0, wind_directions.shape)\n",
+    "    )\n",
+    "\n",
+    "# Set wind speeds to be fixed with small noise\n",
+    "for t_idx in range(fm.n_turbines):\n",
+    "    df_scada[f\"ws_{t_idx:03d}\"] = 8.0 * np.ones_like(wind_directions) + np.random.normal(\n",
+    "        0, 0.1, wind_directions.shape\n",
+    "    )\n",
+    "\n",
+    "df_scada"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Northing calibration error\n",
+    "\n",
+    "Add to the data two types of northing calibration error:\n",
+    "1. A constant bias on turbine 001\n",
+    "2. A change in bias on turbine 002 halfway through the data set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_scada[\"wd_001\"] = wrap_360(\n",
+    "    15.0 + wind_directions + np.random.normal(0, 0.5, wind_directions.shape)\n",
+    ")\n",
+    "\n",
+    "mid_point = int(len(wind_directions) / 2)\n",
+    "wd_change = wind_directions + np.random.normal(0, 0.5, wind_directions.shape)\n",
+    "wd_change[mid_point:] = wd_change[mid_point:] - 45.0\n",
+    "wd_change = wrap_360(wd_change)\n",
+    "df_scada[\"wd_002\"] = wd_change"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'Wind direction (deg)')"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Show the wd channels for the turbines\n",
+    "fig, ax = plt.subplots(figsize=(12, 6))\n",
+    "\n",
+    "ax.plot(df_scada[\"time\"], df_scada[\"wd_001\"], label=\"wd_001 (Fixed Bias)\", color=\"blue\")\n",
+    "ax.plot(df_scada[\"time\"], df_scada[\"wd_002\"], label=\"wd_002 (Bias Changes)\", color=\"red\")\n",
+    "ax.plot(df_scada[\"time\"], df_scada[\"wd_000\"], label=\"wd_000\", color=\"k\", alpha=0.5)\n",
+    "ax.plot(df_scada[\"time\"], df_scada[\"wd_003\"], label=\"wd_003\", color=\"k\", alpha=0.5)\n",
+    "ax.plot(df_scada[\"time\"], df_scada[\"wd_004\"], label=\"wd_004\", color=\"k\", alpha=0.5)\n",
+    "ax.plot(df_scada[\"time\"], df_scada[\"wd_005\"], label=\"wd_005\", color=\"k\", alpha=0.5)\n",
+    "ax.plot(df_scada[\"time\"], df_scada[\"wd_006\"], label=\"wd_006\", color=\"k\", alpha=0.5)\n",
+    "ax.legend()\n",
+    "ax.set_xlabel(\"Time\")\n",
+    "ax.set_ylabel(\"Wind direction (deg)\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:06\u001b[0m Generating a df_approx table of FLORIS solutions covering a total of 361 cases.\n",
+      "\u001b[32m2024-12-02 11:23:06\u001b[0m Finished calculating the FLORIS solutions for the dataframe.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Finally compute df_approx for use in later algorithms\n",
+    "# Can compute only at 8m/s for this example\n",
+    "df_fm_approx = ftools.calc_floris_approx_table(\n",
+    "    fm=fm,  # fi=fi_pci,\n",
+    "    wd_array=np.arange(0.0, 360.01, 1.0),\n",
+    "    ws_array=np.array([8.0]),\n",
+    "    ti_array=np.array([0.06]),\n",
+    ")"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Cross-Check Northing calibration "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "`crosscheck_northing_offset_consistency` is a function to check if the relative offset between turbines is consistent. If the offset is consistent, then we know we can find a single offset value that would align the two turbine's northings. If this is not the case, one or both turbines likely experience jumps in their nacelle calibration throughout the timeseries. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:06\u001b[0m Matching curves for turbine 000...\n",
+      "\u001b[32m2024-12-02 11:23:07\u001b[0m     T006  T001  T002  T005  T003\n",
+      "0    0.0 -16.0   0.0   0.0   0.0\n",
+      "1    0.0 -14.0   0.0   0.0   0.0\n",
+      "2    0.0 -16.0   0.0   0.0   0.0\n",
+      "3    0.0 -16.0   0.0   0.0   0.0\n",
+      "4    0.0 -14.0   0.0   2.0   0.0\n",
+      "5    0.0 -14.0   0.0   0.0   0.0\n",
+      "6    0.0 -16.0   0.0   0.0  -2.0\n",
+      "7    0.0 -16.0   0.0   0.0   0.0\n",
+      "8    0.0 -16.0   0.0   0.0   0.0\n",
+      "9    0.0 -16.0   0.0   0.0   0.0\n",
+      "10   0.0 -16.0   0.0   0.0   0.0\n",
+      "11   0.0 -16.0   0.0   0.0   0.0\n",
+      "12   0.0 -14.0   0.0   0.0   0.0\n",
+      "13   0.0 -14.0   0.0   0.0   0.0\n",
+      "14  -2.0 -16.0   0.0   0.0   0.0\n",
+      "15   0.0 -14.0   0.0   0.0   0.0\n",
+      "16   2.0 -14.0   0.0   2.0   0.0\n",
+      "17   0.0 -14.0   0.0   0.0   0.0\n",
+      "18  -2.0 -16.0   0.0   0.0   0.0\n",
+      "19   0.0 -16.0   0.0   0.0   0.0\n",
+      "20   0.0 -14.0   8.0   0.0   2.0\n",
+      "21   0.0 -14.0  46.0   0.0   0.0\n",
+      "22   0.0 -14.0  46.0   0.0   0.0\n",
+      "23   0.0 -14.0  46.0   0.0   0.0\n",
+      "24   0.0 -14.0  46.0   2.0   0.0\n",
+      "25   0.0 -16.0  44.0   0.0   0.0\n",
+      "26   0.0 -16.0  44.0  -2.0   0.0\n",
+      "27   0.0 -14.0  46.0   0.0   2.0\n",
+      "28   0.0 -14.0  46.0   0.0   0.0\n",
+      "29   0.0 -14.0  46.0   0.0   0.0\n",
+      "30   0.0 -14.0  44.0   0.0   0.0\n",
+      "31   0.0 -16.0  44.0   0.0   0.0\n",
+      "32   0.0 -14.0  46.0   0.0   0.0\n",
+      "33   0.0 -16.0  44.0   0.0   0.0\n",
+      "34   0.0 -14.0  46.0   0.0   0.0\n",
+      "35   0.0 -16.0  44.0   0.0   0.0\n",
+      "36   0.0 -14.0  46.0   0.0   2.0\n",
+      "37   0.0 -14.0  46.0   0.0   0.0\n",
+      "38   0.0 -14.0  46.0   0.0   0.0\n",
+      "39   0.0 -14.0  46.0   0.0   0.0\n",
+      "40   0.0 -16.0  44.0   0.0   0.0\n",
+      "41   0.0 -14.0  46.0   0.0   0.0\n",
+      "\u001b[32m2024-12-02 11:23:07\u001b[0m Matching curves for turbine 001...\n",
+      "\u001b[32m2024-12-02 11:23:07\u001b[0m     T002  T006  T005  T003  T000\n",
+      "0   16.0  14.0  16.0  16.0  16.0\n",
+      "1   14.0  16.0  14.0  16.0  14.0\n",
+      "2   14.0  16.0  14.0  16.0  16.0\n",
+      "3   16.0  16.0  14.0  14.0  16.0\n",
+      "4   14.0  14.0  16.0  14.0  14.0\n",
+      "5   16.0  14.0  14.0  16.0  14.0\n",
+      "6   14.0  14.0  14.0  14.0  16.0\n",
+      "7   16.0  14.0  16.0  16.0  16.0\n",
+      "8   14.0  16.0  14.0  16.0  16.0\n",
+      "9   14.0  14.0  14.0  16.0  16.0\n",
+      "10  16.0  14.0  14.0  14.0  16.0\n",
+      "11  16.0  14.0  16.0  14.0  16.0\n",
+      "12  16.0  14.0  14.0  14.0  14.0\n",
+      "13  14.0  14.0  14.0  14.0  14.0\n",
+      "14  16.0  14.0  16.0  16.0  16.0\n",
+      "15  14.0  14.0  14.0  16.0  14.0\n",
+      "16  16.0  16.0  16.0  14.0  14.0\n",
+      "17  14.0  14.0  14.0  16.0  14.0\n",
+      "18  16.0  14.0  14.0  16.0  16.0\n",
+      "19  16.0  14.0  14.0  14.0  16.0\n",
+      "20  22.0  14.0  14.0  16.0  14.0\n",
+      "21  60.0  14.0  16.0  14.0  14.0\n",
+      "22  60.0  14.0  16.0  14.0  14.0\n",
+      "23  60.0  14.0  16.0  16.0  14.0\n",
+      "24  60.0  16.0  16.0  14.0  14.0\n",
+      "25  60.0  16.0  14.0  16.0  16.0\n",
+      "26  60.0  16.0  14.0  14.0  16.0\n",
+      "27  60.0  14.0  16.0  16.0  14.0\n",
+      "28  60.0  14.0  16.0  14.0  14.0\n",
+      "29  60.0  14.0  16.0  16.0  14.0\n",
+      "30  60.0  14.0  14.0  14.0  14.0\n",
+      "31  60.0  16.0  14.0  14.0  16.0\n",
+      "32  60.0  16.0  16.0  14.0  14.0\n",
+      "33  60.0  16.0  16.0  16.0  16.0\n",
+      "34  60.0  16.0  16.0  16.0  14.0\n",
+      "35  60.0  14.0  16.0  14.0  16.0\n",
+      "36  60.0  14.0  14.0  16.0  14.0\n",
+      "37  60.0  14.0  16.0  14.0  14.0\n",
+      "38  60.0  16.0  14.0  14.0  14.0\n",
+      "39  60.0  14.0  16.0  14.0  14.0\n",
+      "40  60.0  16.0  14.0  14.0  16.0\n",
+      "41  60.0  14.0  16.0  14.0  14.0\n",
+      "\u001b[32m2024-12-02 11:23:07\u001b[0m Matching curves for turbine 002...\n",
+      "\u001b[32m2024-12-02 11:23:08\u001b[0m     T001  T003  T005  T000  T006\n",
+      "0  -16.0   0.0   0.0  -0.0   0.0\n",
+      "1  -14.0   0.0   0.0  -0.0   0.0\n",
+      "2  -14.0   0.0   0.0  -0.0   0.0\n",
+      "3  -16.0   0.0   0.0  -0.0   0.0\n",
+      "4  -14.0   0.0   0.0  -0.0   0.0\n",
+      "5  -16.0   0.0   0.0  -0.0   0.0\n",
+      "6  -14.0   0.0   0.0  -0.0   0.0\n",
+      "7  -16.0   0.0   0.0  -0.0   0.0\n",
+      "8  -14.0   0.0   0.0  -0.0   0.0\n",
+      "9  -14.0   0.0   0.0  -0.0   0.0\n",
+      "10 -16.0   0.0   0.0  -0.0   0.0\n",
+      "11 -16.0   0.0   0.0  -0.0   0.0\n",
+      "12 -16.0   0.0   0.0  -0.0   0.0\n",
+      "13 -14.0   0.0   0.0  -0.0   0.0\n",
+      "14 -16.0   0.0   0.0  -0.0   0.0\n",
+      "15 -14.0   0.0   0.0  -0.0   0.0\n",
+      "16 -16.0   0.0   2.0  -0.0   0.0\n",
+      "17 -14.0   0.0   0.0  -0.0   0.0\n",
+      "18 -16.0   0.0   0.0  -0.0   0.0\n",
+      "19 -16.0   0.0   0.0  -0.0   0.0\n",
+      "20 -22.0  -6.0  -8.0  -8.0  -8.0\n",
+      "21 -60.0 -46.0 -44.0 -46.0 -46.0\n",
+      "22 -60.0 -46.0 -44.0 -46.0 -46.0\n",
+      "23 -60.0 -44.0 -44.0 -46.0 -46.0\n",
+      "24 -60.0 -46.0 -44.0 -46.0 -44.0\n",
+      "25 -60.0 -44.0 -46.0 -44.0 -44.0\n",
+      "26 -60.0 -46.0 -46.0 -44.0 -44.0\n",
+      "27 -60.0 -44.0 -44.0 -46.0 -46.0\n",
+      "28 -60.0 -46.0 -44.0 -46.0 -46.0\n",
+      "29 -60.0 -44.0 -44.0 -46.0 -46.0\n",
+      "30 -60.0 -46.0 -46.0 -44.0 -46.0\n",
+      "31 -60.0 -46.0 -46.0 -44.0 -44.0\n",
+      "32 -60.0 -46.0 -44.0 -46.0 -44.0\n",
+      "33 -60.0 -44.0 -44.0 -44.0 -44.0\n",
+      "34 -60.0 -44.0 -44.0 -46.0 -44.0\n",
+      "35 -60.0 -46.0 -44.0 -44.0 -46.0\n",
+      "36 -60.0 -44.0 -46.0 -46.0 -46.0\n",
+      "37 -60.0 -46.0 -44.0 -46.0 -44.0\n",
+      "38 -60.0 -46.0 -46.0 -46.0 -44.0\n",
+      "39 -60.0 -46.0 -44.0 -46.0 -46.0\n",
+      "40 -60.0 -46.0 -46.0 -44.0 -44.0\n",
+      "41 -60.0 -46.0 -44.0 -46.0 -46.0\n",
+      "\u001b[32m2024-12-02 11:23:08\u001b[0m Matching curves for turbine 003...\n",
+      "\u001b[32m2024-12-02 11:23:08\u001b[0m     T005  T002  T001  T004  T006\n",
+      "0    0.0  -0.0 -16.0   0.0   0.0\n",
+      "1    0.0  -0.0 -16.0   0.0   0.0\n",
+      "2    0.0  -0.0 -16.0   0.0   0.0\n",
+      "3    0.0  -0.0 -14.0   0.0   0.0\n",
+      "4    0.0  -0.0 -14.0   0.0   0.0\n",
+      "5    0.0  -0.0 -16.0   0.0   0.0\n",
+      "6    0.0  -0.0 -14.0   0.0   0.0\n",
+      "7    0.0  -0.0 -16.0   0.0   0.0\n",
+      "8    0.0  -0.0 -16.0   0.0   0.0\n",
+      "9    0.0  -0.0 -16.0   0.0   0.0\n",
+      "10   0.0  -0.0 -14.0   0.0   0.0\n",
+      "11   0.0  -0.0 -14.0   0.0   0.0\n",
+      "12   0.0  -0.0 -14.0   0.0   0.0\n",
+      "13   0.0  -0.0 -14.0   0.0   0.0\n",
+      "14   0.0  -0.0 -16.0   0.0   0.0\n",
+      "15   0.0  -0.0 -16.0   0.0   0.0\n",
+      "16   2.0  -0.0 -14.0   2.0   2.0\n",
+      "17   0.0  -0.0 -16.0   0.0   0.0\n",
+      "18   0.0  -0.0 -16.0   0.0   0.0\n",
+      "19   0.0  -0.0 -14.0   0.0   0.0\n",
+      "20  -2.0   6.0 -16.0   0.0  -2.0\n",
+      "21   0.0  46.0 -14.0   0.0   0.0\n",
+      "22   0.0  46.0 -14.0   0.0   0.0\n",
+      "23   0.0  44.0 -16.0   0.0   0.0\n",
+      "24   0.0  46.0 -14.0   0.0   0.0\n",
+      "25   0.0  44.0 -16.0  -2.0   0.0\n",
+      "26   0.0  46.0 -14.0   0.0   0.0\n",
+      "27   0.0  44.0 -16.0   0.0   0.0\n",
+      "28   0.0  46.0 -14.0   0.0   0.0\n",
+      "29   0.0  44.0 -16.0  -2.0   0.0\n",
+      "30   0.0  46.0 -14.0   0.0   0.0\n",
+      "31   0.0  46.0 -14.0   0.0   0.0\n",
+      "32   0.0  46.0 -14.0   0.0   0.0\n",
+      "33   0.0  44.0 -16.0   0.0   0.0\n",
+      "34   0.0  44.0 -16.0   0.0   0.0\n",
+      "35   0.0  46.0 -14.0   0.0   0.0\n",
+      "36  -2.0  44.0 -16.0  -2.0  -2.0\n",
+      "37   0.0  46.0 -14.0   0.0   0.0\n",
+      "38   0.0  46.0 -14.0   0.0   0.0\n",
+      "39   0.0  46.0 -14.0   0.0   0.0\n",
+      "40   0.0  46.0 -14.0   0.0   0.0\n",
+      "41   0.0  46.0 -14.0   0.0   0.0\n",
+      "\u001b[32m2024-12-02 11:23:08\u001b[0m Matching curves for turbine 004...\n",
+      "\u001b[32m2024-12-02 11:23:09\u001b[0m     T003  T002  T005  T001  T006\n",
+      "0   -0.0   0.0   0.0 -16.0   0.0\n",
+      "1   -0.0   0.0   0.0 -14.0   0.0\n",
+      "2   -0.0   0.0   0.0 -16.0   0.0\n",
+      "3   -0.0   0.0   0.0 -16.0   0.0\n",
+      "4   -0.0   0.0   0.0 -16.0  -2.0\n",
+      "5   -0.0   0.0   0.0 -14.0   0.0\n",
+      "6   -0.0   0.0   0.0 -16.0   0.0\n",
+      "7   -0.0   0.0   0.0 -14.0   0.0\n",
+      "8   -0.0   0.0   0.0 -14.0   0.0\n",
+      "9   -0.0   0.0   0.0 -16.0   0.0\n",
+      "10  -0.0   0.0   0.0 -16.0  -2.0\n",
+      "11  -0.0   0.0   0.0 -14.0   0.0\n",
+      "12  -0.0   0.0   0.0 -16.0   0.0\n",
+      "13  -0.0   0.0   0.0 -16.0   0.0\n",
+      "14  -0.0   0.0   0.0 -16.0   0.0\n",
+      "15  -0.0   0.0   0.0 -16.0   0.0\n",
+      "16  -2.0   0.0   0.0 -16.0   0.0\n",
+      "17  -0.0   0.0   0.0 -16.0   0.0\n",
+      "18  -0.0   0.0   0.0 -14.0   0.0\n",
+      "19  -0.0   0.0   0.0 -14.0   0.0\n",
+      "20  -0.0   8.0   0.0 -14.0   0.0\n",
+      "21  -0.0  44.0   0.0 -16.0   0.0\n",
+      "22  -0.0  44.0   0.0 -16.0   0.0\n",
+      "23  -0.0  46.0   0.0 -14.0   0.0\n",
+      "24  -0.0  46.0   2.0 -14.0   0.0\n",
+      "25   2.0  46.0   0.0 -14.0   2.0\n",
+      "26  -0.0  44.0  -2.0 -16.0   0.0\n",
+      "27  -0.0  46.0   0.0 -14.0   0.0\n",
+      "28  -0.0  44.0   0.0 -16.0   0.0\n",
+      "29   2.0  46.0   2.0 -14.0   0.0\n",
+      "30  -0.0  46.0   0.0 -14.0   0.0\n",
+      "31  -0.0  44.0  -2.0 -16.0   0.0\n",
+      "32  -0.0  46.0   0.0 -14.0   0.0\n",
+      "33  -0.0  46.0   0.0 -14.0   0.0\n",
+      "34  -0.0  44.0   0.0 -16.0   0.0\n",
+      "35  -0.0  46.0   0.0 -14.0   0.0\n",
+      "36   2.0  46.0   0.0 -14.0   0.0\n",
+      "37  -0.0  46.0   0.0 -14.0   0.0\n",
+      "38  -0.0  44.0   0.0 -16.0   0.0\n",
+      "39  -0.0  44.0   0.0 -16.0   0.0\n",
+      "40  -0.0  44.0   0.0 -16.0   0.0\n",
+      "41  -0.0  46.0   0.0 -14.0   0.0\n",
+      "\u001b[32m2024-12-02 11:23:09\u001b[0m Matching curves for turbine 005...\n",
+      "\u001b[32m2024-12-02 11:23:09\u001b[0m     T003  T001  T006  T002  T000\n",
+      "0   -0.0 -16.0   0.0  -0.0  -0.0\n",
+      "1   -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "2   -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "3   -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "4   -0.0 -16.0  -2.0  -0.0  -2.0\n",
+      "5   -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "6   -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "7   -0.0 -16.0   0.0  -0.0  -0.0\n",
+      "8   -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "9   -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "10  -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "11  -0.0 -16.0   0.0  -0.0  -0.0\n",
+      "12  -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "13  -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "14  -0.0 -16.0  -2.0  -0.0  -0.0\n",
+      "15  -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "16  -2.0 -16.0   0.0  -2.0  -2.0\n",
+      "17  -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "18  -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "19  -0.0 -14.0   0.0  -0.0  -0.0\n",
+      "20   2.0 -14.0   0.0   8.0  -0.0\n",
+      "21  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "22  -0.0 -16.0  -2.0  44.0  -0.0\n",
+      "23  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "24  -0.0 -16.0   0.0  44.0  -2.0\n",
+      "25  -0.0 -14.0   0.0  46.0  -0.0\n",
+      "26  -0.0 -14.0   2.0  46.0   2.0\n",
+      "27  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "28  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "29  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "30  -0.0 -14.0   0.0  46.0  -0.0\n",
+      "31  -0.0 -14.0   0.0  46.0  -0.0\n",
+      "32  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "33  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "34  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "35  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "36   2.0 -14.0   0.0  46.0  -0.0\n",
+      "37  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "38  -0.0 -14.0   0.0  46.0  -0.0\n",
+      "39  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "40  -0.0 -14.0   0.0  46.0  -0.0\n",
+      "41  -0.0 -16.0  -2.0  44.0  -0.0\n",
+      "\u001b[32m2024-12-02 11:23:09\u001b[0m Matching curves for turbine 006...\n",
+      "\u001b[32m2024-12-02 11:23:09\u001b[0m     T001  T005  T000  T003  T002\n",
+      "0  -14.0  -0.0  -0.0  -0.0  -0.0\n",
+      "1  -16.0  -0.0  -0.0  -0.0  -0.0\n",
+      "2  -16.0  -0.0  -0.0  -0.0  -0.0\n",
+      "3  -16.0  -0.0  -0.0  -0.0  -0.0\n",
+      "4  -14.0   2.0  -0.0  -0.0  -0.0\n",
+      "5  -14.0  -0.0  -0.0  -0.0  -0.0\n",
+      "6  -14.0  -0.0  -0.0  -0.0  -0.0\n",
+      "7  -14.0  -0.0  -0.0  -0.0  -0.0\n",
+      "8  -16.0  -0.0  -0.0  -0.0  -0.0\n",
+      "9  -14.0  -0.0  -0.0  -0.0  -0.0\n",
+      "10 -14.0  -0.0  -0.0  -0.0  -0.0\n",
+      "11 -14.0  -0.0  -0.0  -0.0  -0.0\n",
+      "12 -14.0  -0.0  -0.0  -0.0  -0.0\n",
+      "13 -14.0  -0.0  -0.0  -0.0  -0.0\n",
+      "14 -14.0   2.0   2.0  -0.0  -0.0\n",
+      "15 -14.0  -0.0  -0.0  -0.0  -0.0\n",
+      "16 -16.0  -0.0  -2.0  -2.0  -0.0\n",
+      "17 -14.0  -0.0  -0.0  -0.0  -0.0\n",
+      "18 -14.0  -0.0   2.0  -0.0  -0.0\n",
+      "19 -14.0  -0.0  -0.0  -0.0  -0.0\n",
+      "20 -14.0  -0.0  -0.0   2.0   8.0\n",
+      "21 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "22 -14.0   2.0  -0.0  -0.0  46.0\n",
+      "23 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "24 -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "25 -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "26 -16.0  -2.0  -0.0  -0.0  44.0\n",
+      "27 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "28 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "29 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "30 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "31 -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "32 -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "33 -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "34 -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "35 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "36 -14.0  -0.0  -0.0   2.0  46.0\n",
+      "37 -14.0  -0.0  -0.0  -0.0  44.0\n",
+      "38 -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "39 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "40 -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "41 -14.0   2.0  -0.0  -0.0  46.0\n",
+      "\u001b[32m2024-12-02 11:23:09\u001b[0m Turbine 000 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:23:09\u001b[0m Turbine 001 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:23:09\u001b[0m Turbine 002 seems to have one or multiple jumps in its WD measurement calibration. [BAD]\n",
+      "\u001b[32m2024-12-02 11:23:09\u001b[0m Turbine 003 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:23:09\u001b[0m Turbine 004 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:23:09\u001b[0m Turbine 005 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:23:09\u001b[0m Turbine 006 seems to have no jumps in its WD measurement calibration. [CLEAN]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['clean', 'clean', 'bad', 'clean', 'clean', 'clean', 'clean']\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1400x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create a copy in which we mark the wd measurements of turbines with northing drift  as faulty\n",
+    "df_scada_marked_faulty_northing_drift = df_scada.copy()\n",
+    "\n",
+    "turb_wd_consistency = nof.crosscheck_northing_offset_consistency(\n",
+    "    df=df_scada_marked_faulty_northing_drift, fm=fm, plot_figure=True, bias_timestep=td(days=1)\n",
+    ")\n",
+    "print(turb_wd_consistency)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "`crosscheck_northing_offset_consistency` detects that T002 contains a probable jump, one solution is to then remove T002's wind direction data from consideration however this is not done in this notebook as we next take advantage of HOGER recalibration.  The code to do this is included below in comments"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Mark wind direction measurements of turbines with inconsistent calibration as faulty\n",
+    "# faulty_turbines = [not s == \"clean\" for s in turb_wd_consistency]\n",
+    "# for ti in np.where(faulty_turbines)[0]:\n",
+    "#     df_scada_marked_faulty_northing_drift[\"wd_{:03d}\".format(ti)] = np.nan"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Homegenization with HOGER"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The `homogenize` function implements the HOGER method for recalibrating northing measurements. HOGER was developed by Paul Poncet (https://github.com/engie-paul-poncet)\n",
+    " and Thomas Duc (https://github.com/engie-thomas-duc) of Engie, and Rubén González-Lope (https://github.com/rglope) and Alvaro Gonzalez Salcedo (https://github.com/alvarogonzalezsalcedo) of CENER within the TWAIN project.\n",
+    "\n",
+    " The `homogenize` will remove apparent jumps in northing correction (but does not confirm the final level is unbiased overall)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[2999.5]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/pfleming/Projects/FLASC/flasc/flasc/data_processing/northing_offset_change_hoger.py:110: UserWarning: Encountered a tie, and the difference between minimal and maximal value is > length('x') * 0.05.\n",
+      " The distribution could be multimodal\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Class</th>\n",
+       "      <th>Turbine</th>\n",
+       "      <th>Count</th>\n",
+       "      <th>Jump</th>\n",
+       "      <th>Knot</th>\n",
+       "      <th>Knot_date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>wd_002</td>\n",
+       "      <td>6</td>\n",
+       "      <td>44.982446</td>\n",
+       "      <td>2999.5</td>\n",
+       "      <td>2020-01-21 19:40:00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Class Turbine  Count       Jump    Knot           Knot_date\n",
+       "0      1  wd_002      6  44.982446  2999.5 2020-01-21 19:40:00"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_scada_non_homogenized = df_scada.copy()\n",
+    "df_scada_homogenized, d2 = homogenize_hoger(df_scada_marked_faulty_northing_drift, threshold=10)\n",
+    "\n",
+    "# Show the search results\n",
+    "d2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The HOGER homeginization removes changes in northing calibration of turbines with respect to others, however the final selected value may contain a steady offset, as happens in this case"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'Wind direction (deg)')"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Show the effects of homogenization\n",
+    "# Show the wd channels for the turbines\n",
+    "fig, ax = plt.subplots(figsize=(12, 6))\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_001\"],\n",
+    "    label=\"wd_001 (Fixed Bias)\",\n",
+    "    color=\"blue\",\n",
+    ")\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_002\"],\n",
+    "    label=\"wd_002 (Bias Changes)\",\n",
+    "    color=\"red\",\n",
+    ")\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_000\"],\n",
+    "    label=\"wd_000\",\n",
+    "    color=\"k\",\n",
+    "    alpha=0.5,\n",
+    ")\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_003\"],\n",
+    "    label=\"wd_003\",\n",
+    "    color=\"k\",\n",
+    "    alpha=0.5,\n",
+    ")\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_004\"],\n",
+    "    label=\"wd_004\",\n",
+    "    color=\"k\",\n",
+    "    alpha=0.5,\n",
+    ")\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_005\"],\n",
+    "    label=\"wd_005\",\n",
+    "    color=\"k\",\n",
+    "    alpha=0.5,\n",
+    ")\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_006\"],\n",
+    "    label=\"wd_006\",\n",
+    "    color=\"k\",\n",
+    "    alpha=0.5,\n",
+    ")\n",
+    "ax.legend()\n",
+    "ax.set_xlabel(\"Time\")\n",
+    "ax.set_ylabel(\"Wind direction (deg)\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Recalculate which turbines are clean with respect to offset changes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:09\u001b[0m Matching curves for turbine 000...\n",
+      "\u001b[32m2024-12-02 11:23:10\u001b[0m     T006  T001  T002  T005  T003\n",
+      "0    0.0 -16.0  44.0   0.0   0.0\n",
+      "1    0.0 -16.0  44.0   0.0   0.0\n",
+      "2    0.0 -14.0  46.0   0.0   0.0\n",
+      "3    0.0 -16.0  44.0   0.0   0.0\n",
+      "4    0.0 -16.0  44.0   0.0   0.0\n",
+      "5    0.0 -16.0  44.0   0.0   0.0\n",
+      "6    0.0 -14.0  46.0   0.0   0.0\n",
+      "7    0.0 -16.0  44.0   0.0   0.0\n",
+      "8    0.0 -14.0  46.0   0.0   0.0\n",
+      "9    0.0 -16.0  44.0   0.0   0.0\n",
+      "10   0.0 -14.0  46.0   0.0   0.0\n",
+      "11   0.0 -14.0  46.0   0.0   0.0\n",
+      "12   0.0 -14.0  44.0   0.0   0.0\n",
+      "13   0.0 -14.0  46.0   0.0   0.0\n",
+      "14   0.0 -14.0  46.0   0.0   0.0\n",
+      "15   0.0 -16.0  44.0   0.0   0.0\n",
+      "16   0.0 -16.0  44.0   0.0   0.0\n",
+      "17   0.0 -14.0  46.0   0.0   0.0\n",
+      "18   0.0 -14.0  46.0   0.0   0.0\n",
+      "19   0.0 -14.0  46.0   0.0   0.0\n",
+      "20   0.0 -14.0  46.0   0.0   0.0\n",
+      "\u001b[32m2024-12-02 11:23:10\u001b[0m Matching curves for turbine 001...\n",
+      "\u001b[32m2024-12-02 11:23:10\u001b[0m     T002  T006  T005  T003  T000\n",
+      "0   60.0  16.0  14.0  16.0  16.0\n",
+      "1   60.0  16.0  14.0  14.0  16.0\n",
+      "2   60.0  14.0  16.0  16.0  14.0\n",
+      "3   60.0  14.0  16.0  16.0  16.0\n",
+      "4   60.0  16.0  14.0  16.0  16.0\n",
+      "5   60.0  14.0  14.0  14.0  16.0\n",
+      "6   60.0  14.0  14.0  14.0  14.0\n",
+      "7   60.0  14.0  14.0  16.0  16.0\n",
+      "8   60.0  16.0  16.0  14.0  14.0\n",
+      "9   60.0  14.0  14.0  14.0  16.0\n",
+      "10  60.0  14.0  14.0  16.0  14.0\n",
+      "11  60.0  14.0  16.0  16.0  14.0\n",
+      "12  60.0  16.0  16.0  16.0  14.0\n",
+      "13  60.0  16.0  14.0  16.0  14.0\n",
+      "14  60.0  14.0  16.0  14.0  14.0\n",
+      "15  60.0  14.0  14.0  14.0  16.0\n",
+      "16  60.0  16.0  16.0  16.0  16.0\n",
+      "17  60.0  14.0  16.0  16.0  14.0\n",
+      "18  60.0  14.0  14.0  16.0  14.0\n",
+      "19  60.0  14.0  14.0  14.0  14.0\n",
+      "20  60.0  14.0  16.0  14.0  14.0\n",
+      "\u001b[32m2024-12-02 11:23:10\u001b[0m Matching curves for turbine 002...\n",
+      "\u001b[32m2024-12-02 11:23:10\u001b[0m     T001  T003  T005  T000  T006\n",
+      "0  -60.0 -44.0 -46.0 -44.0 -44.0\n",
+      "1  -60.0 -46.0 -46.0 -44.0 -44.0\n",
+      "2  -60.0 -44.0 -44.0 -46.0 -46.0\n",
+      "3  -60.0 -44.0 -44.0 -44.0 -46.0\n",
+      "4  -60.0 -44.0 -46.0 -44.0 -44.0\n",
+      "5  -60.0 -46.0 -44.0 -44.0 -46.0\n",
+      "6  -60.0 -46.0 -46.0 -46.0 -46.0\n",
+      "7  -60.0 -44.0 -44.0 -44.0 -46.0\n",
+      "8  -60.0 -46.0 -44.0 -46.0 -44.0\n",
+      "9  -60.0 -46.0 -46.0 -44.0 -46.0\n",
+      "10 -60.0 -44.0 -46.0 -46.0 -46.0\n",
+      "11 -60.0 -44.0 -44.0 -46.0 -46.0\n",
+      "12 -60.0 -44.0 -44.0 -44.0 -44.0\n",
+      "13 -60.0 -44.0 -46.0 -46.0 -46.0\n",
+      "14 -60.0 -46.0 -44.0 -46.0 -46.0\n",
+      "15 -60.0 -46.0 -46.0 -44.0 -46.0\n",
+      "16 -60.0 -44.0 -44.0 -44.0 -44.0\n",
+      "17 -60.0 -44.0 -44.0 -46.0 -46.0\n",
+      "18 -60.0 -44.0 -46.0 -46.0 -46.0\n",
+      "19 -60.0 -46.0 -46.0 -46.0 -46.0\n",
+      "20 -60.0 -46.0 -44.0 -46.0 -46.0\n",
+      "\u001b[32m2024-12-02 11:23:10\u001b[0m Matching curves for turbine 003...\n",
+      "\u001b[32m2024-12-02 11:23:10\u001b[0m     T005  T002  T001  T004  T006\n",
+      "0    0.0  44.0 -16.0   0.0   0.0\n",
+      "1    0.0  46.0 -14.0   0.0   0.0\n",
+      "2    0.0  44.0 -16.0   0.0   0.0\n",
+      "3    0.0  44.0 -16.0   0.0   0.0\n",
+      "4    0.0  44.0 -16.0   0.0   0.0\n",
+      "5    0.0  46.0 -14.0   0.0   0.0\n",
+      "6    0.0  46.0 -14.0   0.0   0.0\n",
+      "7    0.0  44.0 -16.0   0.0   0.0\n",
+      "8    0.0  46.0 -14.0   0.0   0.0\n",
+      "9    0.0  46.0 -14.0   0.0   0.0\n",
+      "10   0.0  44.0 -16.0   0.0   0.0\n",
+      "11   0.0  44.0 -16.0   0.0   0.0\n",
+      "12   0.0  44.0 -16.0   0.0   0.0\n",
+      "13   0.0  44.0 -16.0   0.0   0.0\n",
+      "14   0.0  46.0 -14.0   0.0   0.0\n",
+      "15   0.0  46.0 -14.0   0.0   0.0\n",
+      "16   0.0  44.0 -16.0   0.0   0.0\n",
+      "17   0.0  44.0 -16.0   0.0   0.0\n",
+      "18   0.0  44.0 -16.0   0.0   0.0\n",
+      "19   0.0  46.0 -14.0   0.0   0.0\n",
+      "20   0.0  46.0 -14.0   0.0   0.0\n",
+      "\u001b[32m2024-12-02 11:23:10\u001b[0m Matching curves for turbine 004...\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     T003  T002  T005  T001  T006\n",
+      "0   -0.0  46.0   0.0 -14.0   0.0\n",
+      "1   -0.0  44.0   0.0 -16.0   0.0\n",
+      "2   -0.0  44.0   0.0 -16.0   0.0\n",
+      "3   -0.0  46.0   0.0 -14.0   0.0\n",
+      "4   -0.0  46.0   0.0 -14.0   0.0\n",
+      "5   -0.0  44.0   0.0 -16.0   0.0\n",
+      "6   -0.0  44.0   0.0 -16.0   0.0\n",
+      "7   -0.0  44.0   0.0 -16.0   0.0\n",
+      "8   -0.0  44.0   0.0 -16.0   0.0\n",
+      "9   -0.0  46.0   0.0 -14.0   0.0\n",
+      "10  -0.0  44.0   0.0 -16.0   0.0\n",
+      "11  -0.0  46.0   0.0 -14.0   0.0\n",
+      "12  -0.0  46.0   0.0 -14.0   0.0\n",
+      "13  -0.0  44.0   0.0 -16.0   0.0\n",
+      "14  -0.0  46.0   0.0 -14.0   0.0\n",
+      "15  -0.0  44.0   0.0 -16.0   0.0\n",
+      "16  -0.0  46.0   0.0 -14.0   0.0\n",
+      "17  -0.0  44.0   0.0 -16.0   0.0\n",
+      "18  -0.0  46.0   0.0 -14.0   0.0\n",
+      "19  -0.0  44.0   0.0 -16.0   0.0\n",
+      "20  -0.0  44.0   0.0 -16.0   0.0\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m Matching curves for turbine 005...\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     T003  T001  T006  T002  T000\n",
+      "0   -0.0 -14.0   0.0  46.0  -0.0\n",
+      "1   -0.0 -14.0   0.0  46.0  -0.0\n",
+      "2   -0.0 -16.0   0.0  44.0  -0.0\n",
+      "3   -0.0 -16.0   0.0  44.0  -0.0\n",
+      "4   -0.0 -14.0   0.0  46.0  -0.0\n",
+      "5   -0.0 -14.0   0.0  44.0  -0.0\n",
+      "6   -0.0 -14.0   0.0  46.0  -0.0\n",
+      "7   -0.0 -14.0   0.0  44.0  -0.0\n",
+      "8   -0.0 -16.0   0.0  44.0  -0.0\n",
+      "9   -0.0 -14.0   0.0  46.0  -0.0\n",
+      "10  -0.0 -14.0   0.0  46.0  -0.0\n",
+      "11  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "12  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "13  -0.0 -14.0   0.0  46.0  -0.0\n",
+      "14  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "15  -0.0 -14.0   0.0  46.0  -0.0\n",
+      "16  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "17  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "18  -0.0 -14.0   0.0  46.0  -0.0\n",
+      "19  -0.0 -14.0   0.0  46.0  -0.0\n",
+      "20  -0.0 -16.0   0.0  44.0  -0.0\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m Matching curves for turbine 006...\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     T001  T005  T000  T003  T002\n",
+      "0  -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "1  -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "2  -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "3  -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "4  -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "5  -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "6  -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "7  -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "8  -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "9  -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "10 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "11 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "12 -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "13 -16.0  -0.0  -0.0  -0.0  46.0\n",
+      "14 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "15 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "16 -16.0  -0.0  -0.0  -0.0  44.0\n",
+      "17 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "18 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "19 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "20 -14.0  -0.0  -0.0  -0.0  46.0\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m Turbine 000 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m Turbine 001 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m Turbine 002 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m Turbine 003 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m Turbine 004 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m Turbine 005 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m Turbine 006 seems to have no jumps in its WD measurement calibration. [CLEAN]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['clean', 'clean', 'clean', 'clean', 'clean', 'clean', 'clean']\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1400x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create a copy in which we mark the wd measurements of turbines with northing drift  as faulty\n",
+    "df_scada_marked_faulty_northing_drift = df_scada_homogenized.copy()\n",
+    "\n",
+    "turb_wd_consistency = nof.crosscheck_northing_offset_consistency(\n",
+    "    df=df_scada_marked_faulty_northing_drift, fm=fm, plot_figure=True, bias_timestep=td(days=2)\n",
+    ")\n",
+    "print(turb_wd_consistency)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Remove steady offset from a single turbine\n",
+    "By looking at the energy ratios and looking at the average offset between turbines' wind direction measurements, we can align every turbine that was flagged 'green' in the above plot with true north. Wind directions of turbines flagged red should not be used."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m Initializing a bias_estimation() object...\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m Estimating the wind direction bias\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m   Constructing energy table for wd_bias of -180.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m    minimum/maximum value in df:        (7.798, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m    minimum/maximum value in df:        (7.798, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Initializing wd bias estimator object for turbine 000...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -180.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -180.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -180.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m   Constructing energy table for wd_bias of -175.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m    minimum/maximum value in df:        (7.709, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m    minimum/maximum value in df:        (7.709, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -175.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -175.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -175.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m   Constructing energy table for wd_bias of -170.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m    minimum/maximum value in df:        (7.709, 8.243)\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m    minimum/maximum value in df:        (7.709, 8.243)\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:11\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -170.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -170.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -170.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m   Constructing energy table for wd_bias of -165.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m    minimum/maximum value in df:        (7.799, 8.243)\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m    minimum/maximum value in df:        (7.799, 8.243)\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -165.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -165.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -165.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m   Constructing energy table for wd_bias of -160.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m    minimum/maximum value in df:        (7.799, 8.230)\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m    minimum/maximum value in df:        (7.799, 8.230)\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -160.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -160.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -160.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m   Constructing energy table for wd_bias of -155.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m    minimum/maximum value in df:        (7.788, 8.230)\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m    minimum/maximum value in df:        (7.788, 8.230)\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -155.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -155.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -155.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m   Constructing energy table for wd_bias of -150.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m    minimum/maximum value in df:        (7.788, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m    minimum/maximum value in df:        (7.788, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -150.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -150.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:12\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -150.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m   Constructing energy table for wd_bias of -145.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m    minimum/maximum value in df:        (7.794, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m    minimum/maximum value in df:        (7.794, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -145.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -145.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -145.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m   Constructing energy table for wd_bias of -140.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m    minimum/maximum value in df:        (7.794, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m    minimum/maximum value in df:        (7.794, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -140.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -140.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -140.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m   Constructing energy table for wd_bias of -135.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m    minimum/maximum value in df:        (7.811, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m    minimum/maximum value in df:        (7.811, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -135.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -135.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -135.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m   Constructing energy table for wd_bias of -130.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m    minimum/maximum value in df:        (7.811, 8.219)\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m    minimum/maximum value in df:        (7.811, 8.219)\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -130.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -130.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -130.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:13\u001b[0m   Constructing energy table for wd_bias of -125.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df:        (7.795, 8.244)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df:        (7.795, 8.244)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -125.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -125.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -125.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m   Constructing energy table for wd_bias of -120.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df:        (7.795, 8.244)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df:        (7.795, 8.244)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -120.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -120.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -120.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m   Constructing energy table for wd_bias of -115.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df:        (7.795, 8.192)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df:        (7.795, 8.192)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -115.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -115.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -115.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m   Constructing energy table for wd_bias of -110.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df:        (7.795, 8.198)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df:        (7.795, 8.198)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -110.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -110.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -110.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m   Constructing energy table for wd_bias of -105.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df:        (7.803, 8.198)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df:        (7.803, 8.198)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -105.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -105.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:14\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -105.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m   Constructing energy table for wd_bias of -100.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df:        (7.802, 8.219)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df:        (7.802, 8.219)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -100.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -100.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -100.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m   Constructing energy table for wd_bias of -95.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df:        (7.795, 8.219)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df:        (7.795, 8.219)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -95.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -95.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -95.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m   Constructing energy table for wd_bias of -90.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df:        (7.795, 8.249)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df:        (7.795, 8.249)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -90.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -90.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -90.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m   Constructing energy table for wd_bias of -85.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df:        (7.795, 8.249)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df:        (7.795, 8.249)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -85.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -85.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -85.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m   Constructing energy table for wd_bias of -80.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df:        (7.725, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df:        (7.725, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:15\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -80.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -80.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -80.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m   Constructing energy table for wd_bias of -75.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df:        (7.725, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df:        (7.725, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -75.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -75.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -75.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m   Constructing energy table for wd_bias of -70.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df:        (7.810, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df:        (7.810, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -70.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -70.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -70.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m   Constructing energy table for wd_bias of -65.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df:        (7.773, 8.234)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df:        (7.773, 8.234)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -65.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -65.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -65.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m   Constructing energy table for wd_bias of -60.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df:        (7.773, 8.234)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df:        (7.773, 8.234)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -60.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -60.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -60.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m   Constructing energy table for wd_bias of -55.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df:        (7.810, 8.234)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df:        (7.810, 8.234)\n",
+      "\u001b[32m2024-12-02 11:23:16\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -55.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -55.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -55.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m   Constructing energy table for wd_bias of -50.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m    minimum/maximum value in df:        (7.798, 8.234)\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m    minimum/maximum value in df:        (7.798, 8.234)\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -50.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -50.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -50.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m   Constructing energy table for wd_bias of -45.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m    minimum/maximum value in df:        (7.783, 8.222)\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m    minimum/maximum value in df:        (7.783, 8.222)\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -45.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -45.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -45.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m   Constructing energy table for wd_bias of -40.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m    minimum/maximum value in df:        (7.783, 8.235)\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m    minimum/maximum value in df:        (7.783, 8.235)\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -40.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -40.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -40.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m   Constructing energy table for wd_bias of -35.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m    minimum/maximum value in df:        (7.783, 8.235)\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m    minimum/maximum value in df:        (7.783, 8.235)\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:17\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -35.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -35.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -35.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m   Constructing energy table for wd_bias of -30.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df:        (7.766, 8.240)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df:        (7.766, 8.240)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -30.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -30.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -30.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m   Constructing energy table for wd_bias of -25.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df:        (7.766, 8.253)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df:        (7.766, 8.253)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -25.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -25.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -25.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m   Constructing energy table for wd_bias of -20.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df:        (7.787, 8.253)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df:        (7.787, 8.253)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -20.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -20.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -20.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m   Constructing energy table for wd_bias of -15.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df:        (7.776, 8.253)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df:        (7.776, 8.253)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -15.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -15.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -15.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m   Constructing energy table for wd_bias of -10.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df:        (7.776, 8.253)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df:        (7.776, 8.253)\n",
+      "\u001b[32m2024-12-02 11:23:18\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -10.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -10.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -10.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m   Constructing energy table for wd_bias of -5.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m   Constructing energy table for wd_bias of 5.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m    minimum/maximum value in df:        (7.789, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m    minimum/maximum value in df:        (7.789, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m   Constructing energy table for wd_bias of 10.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m    minimum/maximum value in df:        (7.803, 8.222)\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m    minimum/maximum value in df:        (7.803, 8.222)\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 10.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 10.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:19\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 10.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m   Constructing energy table for wd_bias of 15.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df:        (7.803, 8.222)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df:        (7.803, 8.222)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 15.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 15.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 15.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m   Constructing energy table for wd_bias of 20.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df:        (7.794, 8.222)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df:        (7.794, 8.222)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 20.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 20.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 20.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m   Constructing energy table for wd_bias of 25.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df:        (7.794, 8.222)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df:        (7.794, 8.222)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 25.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 25.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 25.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m   Constructing energy table for wd_bias of 30.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df:        (7.794, 8.193)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df:        (7.794, 8.193)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 30.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 30.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 30.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m   Constructing energy table for wd_bias of 35.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df:        (7.794, 8.230)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df:        (7.794, 8.230)\n",
+      "\u001b[32m2024-12-02 11:23:20\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 35.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 35.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 35.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m   Constructing energy table for wd_bias of 40.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m    minimum/maximum value in df:        (7.796, 8.239)\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m    minimum/maximum value in df:        (7.796, 8.239)\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 40.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 40.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 40.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m   Constructing energy table for wd_bias of 45.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m    minimum/maximum value in df:        (7.802, 8.239)\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m    minimum/maximum value in df:        (7.802, 8.239)\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 45.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 45.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 45.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m   Constructing energy table for wd_bias of 50.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m    minimum/maximum value in df:        (7.802, 8.239)\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m    minimum/maximum value in df:        (7.802, 8.239)\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 50.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 50.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 50.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m   Constructing energy table for wd_bias of 55.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m    minimum/maximum value in df:        (7.795, 8.239)\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m    minimum/maximum value in df:        (7.795, 8.239)\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 55.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:21\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 55.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 55.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m   Constructing energy table for wd_bias of 60.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m    minimum/maximum value in df:        (7.795, 8.220)\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m    minimum/maximum value in df:        (7.795, 8.220)\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 60.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 60.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 60.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m   Constructing energy table for wd_bias of 65.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m    minimum/maximum value in df:        (7.795, 8.329)\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m    minimum/maximum value in df:        (7.795, 8.329)\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 65.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 65.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 65.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m   Constructing energy table for wd_bias of 70.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m    minimum/maximum value in df:        (7.795, 8.329)\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m    minimum/maximum value in df:        (7.795, 8.329)\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 70.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 70.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 70.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m   Constructing energy table for wd_bias of 75.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m    minimum/maximum value in df:        (7.798, 8.329)\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m    minimum/maximum value in df:        (7.798, 8.329)\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 75.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 75.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 75.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:22\u001b[0m   Constructing energy table for wd_bias of 80.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df:        (7.798, 8.329)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df:        (7.798, 8.329)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 80.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 80.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 80.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m   Constructing energy table for wd_bias of 85.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df:        (7.798, 8.235)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df:        (7.798, 8.235)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 85.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 85.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 85.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m   Constructing energy table for wd_bias of 90.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df:        (7.798, 8.235)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df:        (7.798, 8.235)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 90.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 90.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 90.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m   Constructing energy table for wd_bias of 95.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df:        (7.789, 8.235)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df:        (7.789, 8.235)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 95.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 95.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 95.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m   Constructing energy table for wd_bias of 100.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df:        (7.789, 8.204)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df:        (7.789, 8.204)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 100.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:23\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 100.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 100.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m   Constructing energy table for wd_bias of 105.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df:        (7.789, 8.204)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df:        (7.789, 8.204)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 105.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 105.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 105.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m   Constructing energy table for wd_bias of 110.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df:        (7.776, 8.195)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df:        (7.776, 8.195)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 110.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 110.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 110.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m   Constructing energy table for wd_bias of 115.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df:        (7.776, 8.224)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df:        (7.776, 8.224)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 115.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 115.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 115.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m   Constructing energy table for wd_bias of 120.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df:        (7.776, 8.224)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df:        (7.776, 8.224)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 120.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 120.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 120.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m   Constructing energy table for wd_bias of 125.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df:        (7.776, 8.224)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df:        (7.776, 8.224)\n",
+      "\u001b[32m2024-12-02 11:23:24\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 125.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 125.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 125.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m   Constructing energy table for wd_bias of 130.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m    minimum/maximum value in df:        (7.785, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m    minimum/maximum value in df:        (7.785, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 130.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 130.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 130.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m   Constructing energy table for wd_bias of 135.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m    minimum/maximum value in df:        (7.785, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m    minimum/maximum value in df:        (7.785, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 135.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 135.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 135.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m   Constructing energy table for wd_bias of 140.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m    minimum/maximum value in df:        (7.785, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m    minimum/maximum value in df:        (7.785, 8.227)\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 140.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 140.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 140.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m   Constructing energy table for wd_bias of 145.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m    minimum/maximum value in df:        (7.798, 8.256)\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m    minimum/maximum value in df:        (7.798, 8.256)\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 145.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:25\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 145.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 145.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m   Constructing energy table for wd_bias of 150.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df:        (7.798, 8.256)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df:        (7.798, 8.256)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 150.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 150.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 150.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m   Constructing energy table for wd_bias of 155.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df:        (7.804, 8.256)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df:        (7.804, 8.256)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 155.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 155.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 155.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m   Constructing energy table for wd_bias of 160.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df:        (7.798, 8.256)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df:        (7.798, 8.256)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 160.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 160.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 160.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m   Constructing energy table for wd_bias of 165.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df:        (7.798, 8.247)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df:        (7.798, 8.247)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 165.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 165.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 165.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m   Constructing energy table for wd_bias of 170.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df:        (7.798, 8.247)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df:        (7.798, 8.247)\n",
+      "\u001b[32m2024-12-02 11:23:26\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 170.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 170.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 170.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m   Constructing energy table for wd_bias of 175.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m    minimum/maximum value in df:        (7.798, 8.247)\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m    minimum/maximum value in df:        (7.798, 8.247)\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 175.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 175.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 175.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m   Constructing energy table for wd_bias of 180.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m    minimum/maximum value in df:        (7.798, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m    minimum/maximum value in df:        (7.798, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 180.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 180.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 180.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:27\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m   Evaluating optimal solution with bootstrapping\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: -0.893931\n",
+      "         Iterations: 1\n",
+      "         Function evaluations: 2\n",
+      "Turbine 0. estimated bias = 0.00025 deg.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:28\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "WD bias for first clean turbine: 0.000 deg\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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JGRmJM73/x9nYmyiT7fjok3lMnToVe3t7XA//jO+ml5EwIaPh1KDnKIq5vs7+YClMJhOHDx8mJiYGjcZ2E3OEjto60vZtIdZXi9EjEqNLQO1MxnLcD32P94651X2roPMdlAUNANmEJBtBNiLJRjISV9Mjf2V1X93nOZygLkOri5JlGb3BRHm5gbzDm+hT/E913u3Ol+IUeYlyTUkSmspLpuT4NrP+v915KNrQvhhlEwYjlfcmE9qTuxlS45raYD+EUv+eSCjXJoCEVOe1Zwzqg4TyktzdzQ2NVkI+sYP+Jef07XQfSUj3kWh1WpC0IEnIkpb03Svpk7f83DXvdztRwydgsnNB1jkp1yco193ml5FkE7Kk4dTAuq87NfQNNWhQk47y8nI++uij6nuoLVBLWwgd1tMRHh7eKHtDr9fzxhtvMGvWLKvEAW2sPdWmDdChQ4fSu3dv5s6dW5325Zdf8uijj1JQUP+0P71ej16vr/5cWFhIWFgYOTk5LTJAk5KSiIuLs4gBmpKSQqdODb8dPp8QN4nUR13RaqQLZxYIBIJKCvUy+WUyxeUynXw1ZgaxwSQTObeIjLOq/KkQtCL39rLj06sd0WokTLLM1hNGCvTg4yTh66z8uTmI35vmYpJlisuhqFwm0FUyu+6MJpkuHxWRdFpcdwKBoDaHDh0iMjLygvn0ej1z5sxh+vTpVjFA/f39G2WAqmoKblM5efIkAQHmb2QDAgIoLCyktLQUJyenOo97/fXXeemll2qlz549WxktUwF5eXlNPibGR1On8bkxzcDp0nM/Yj5OEoPDa5/6tpavLWi8WPK1BY3tJV/NK9zHSWJQHXl3Zhop1MtoNaCRwMtRoot//S/G3B0k3OsxJHQaifeucCBhewX/phkxmOotRnARcUc3HZ+Nc6w2ijSSxMCwxj8yJJ1SjFWjScZgAjcHiZ6Btfvg5vRz/b/qdXh9/dpW116VxqorxMdZYkBo7Xy7s2pfd/F+tb+z0SSj1UhoJAk3B+o04rUaiQPTXNmXY2LzCSOb0o1sTjdyOM9EiJtEjI+Gw6dN4sWQQNBO+eijj/D29m50/jlz5rSiGoWysrJG523TBmhzeeqpp5gxY0b156oR0BkzZqhmBNRoNDJ16tQmHSOdzUL+/TqkGq6IZElD4P/+xNf5nKGel5WCce0taKVz+QyyBs3dS4kLirRYPu7+ibigqFar90J5O/qHcezYMTp06EBBTnqjytSVZGP69Ro0NdrQRPPb8GT6EYz/3tHqbd3a56QpeRtqQy8H3yafE0u3zams4xjX3npRn5Ndwz+j1MGfs2UGCssM5Odm8VHJo7Xy3aN5HTtHF6SSU/g5SXiUZzLL+Ckayfyh9sbO9tzY2R6jvTtFwUMoCr2M4qCBaMsLsDubToVbGAbnOqZnNhKj0VjdLyxx/xQ6monJiNuJNXgfWIDjmaQ6s5yOv5tSvx4YHTwxOngiGcuJ/PMOJM69mZAlDSW3L+WPozJ/HznLibMmAqU8NstP1OqD+0d9jXdAGM4OOlzstLg62lGad8Im94Z6r9G7ltKhEb8np274Hq1HEAV6A8V6A//lpBN7+IFa+QYVv0m+7EqsWznDQiRGB5XSfecs899uFKO/e4CW7gFaJvdR0o1aJzTGUiRARkP2JU9REH1tneeqtWj318l5lJeX89lnn3H//ffbbApuY9pCV5Jtkft1S3VYg/agIywsrNFTcK05AvrGG280Km+bNkADAwPJzs42S8vOzsbd3b3e0U8ABweHOk9CfemNwWg0Ymdnh4ODg8U6WVxcXBM1dCQz60mCd72trLuRtEjj5hLda6h5xrg41p14kiGH30InmTDIGjbEzGTYsDEWy7cy5CEuv3S0eVtYut4L5DUajZhMJuWlQOfOjSwzDuT3kZc9iiQbkSUtmha0YWRkJN9vv41byxa1Wltb5Zw0KW/9bdisc2LhtunYsSN/J/+P0RkfXrTnZNJt482ypeYU8PR7+3hV93l1vmcN9/HqI7cR6OGorA+ZPouTBWU89Z6pOp9R1vCNcRQ3dfXENXUV2tI8PFL+wCPlD9DYgalCqUDSwLj3oPfdtTU2ArN+YeOHhXajo6bDGxc/2LMINsxV0gB0TsiGMjOjCEmLzxWzajnIWXd4plkffN/+AT7+vYwKE4A9Do7QJTKWpYZHuD77fbO+ev9tN9Uhrkutfv1v9OMMt8E12pTfk9Fjrjzvewxk3cKjZvkW+TxEpG9HdmaWsk8P+45BwjGY5PwAM43zzeu9diKc2A7pWyF9O2TsQmssPXc6MBG4/XUCB99hVadF7eo6aQR6vR5vb29iY2Nb/QG/Pi7YFju+hOXTlWkGLbxft0iHlRA6atMSG6cpdTSWNr0G9Mknn+SPP/5g79691Wm33347eXl5bd4JUYs0hLijzU8F7w4X9EZ48tg+Ajt0vaAHv6bk84uM52yZXG9bWLre+vLWdU4aXWZBBuQda3EbVi3+vuvW68lLT7Z4W1v7nDQpbx1t2JJzYql8VRrcHCVyUw62m3Myb+Vevl69m3BNNmmmACZUeiY+30FBzXwppgB0bv7889TlaGQTpG+BQ8th/y9wNtO8AkkLj+5t1oOwGu6f7UrHrgWw7BGQTYAEDu6gr/Sb4OgJ/adA/8ms++kThhx5u9ooWhE2Hc8h93H6bCl5xeXkFetJP13CzwfyCeQ0kZV95iQ+AIR76LihRwB3DI7Fz8MZaHq/zjicyPodB3jk8Wfqfbixxj3E0veunIJiftxylGV7szl0qhzArA1z8GHtjCFE+HucK+jIGlhYh0OwSybD2DfPeVNqZdrNddJIrOnkpT7qbAtZhqz/YNtnkPiN+QEtuF83WYcNEDrOoVYnRKoaAS0qKuLIkSPVn48fP05iYiLe3t6Eh4fz1FNPkZGRwYIFCwCYMmUKH374ITNnzuTee+9lzZo1/PDDDyxfvtxWX0EduIeAV/gFs4V26HTBB4Dm5Ku64KxVb6uU6RHSqBtzY8sLiYyjQ1z3C+ZT+zlpUl4Lt6HF80V1IqJjw6FQWlOftc/J5NHduKJHOMlZ+cQGeZo/2NaRb92BE7y8IgXDWSNLtx3hpgGxEDlE+Yu9AhZcY36gbFReOIjwEeqmIKOG8QkgK8aniz8MfgT63AMOriRnnmbi/h4E8N45w/KIDxxJrLPYk/hw0uRT/fnxYaFMvbxbLc+PTe3XfiFR/LWl7unATS1TTfn8PVyYNqY708bAgvUHeP7P47XaMDkr3/w69YtDljRI8nkLsbfNg/xUuDYBXHwvqEdwkVGQAacOoysxAfFQmAV7FsN/iyC3nt8Ycb8W2BhVGaA7duxg+PDh1Z+r1mlOmDCBr776iqysLLPQJFFRUSxfvpzp06fz3nvvERoaymeffdYuY4AKBALBhYjw96jX8Dw/3wR/Dw5nF7Fw9yne+vsoY3tG4uJYub7Jp6Myjev8B+H8VOBSywsXWI68o7XPG8D186DjCNJyC/h83TaW7MlFprZh6W4PPs463By0eDjqsNdKrD5WZFaUBhjXO9Km4Q/aEpfFhyD9eZzzp6PFBnmaJ3iEIF81B5ZPV4xQSQtdboCDv0HyX/DxYLhhHnQYZiXlAptTOZtBK5uIQ4JtsXD68LlrXOsA0cMheQWc38M0qjIBBO0MVfW+YcOG0dCM4K+++qrOY3bv3t2KqgQCgaB98uQ1Pfnj4GpySkzM/uM/nruhn7LDI0RZQ7TsUeVNeqVLFH6fDm6B0HGUDVULGqSsdogyWdKyPteF+X+vZXN6CaZ6foY1wLKHhtR6iTFv5V7eXJ2GqTLPkyPDG/WiQ6AQ4e/BrJHh1W1YxYGMvFrtKPe6i2RTODE+WrS+HZVr8eQ+WHIvnEqCBdcpI9kjngWtnVW/h8DKnDebQUJW+gBA+EDocSt0vg6cPCsN1Ucr79eVLH0A7v0TPEKtrVwgUJcBKhAIBAL14ObkwIwRUTz7xzG+2ZHDnYPziQrwVHb2vhuiRyrTuDzD4e9n4OAyWHQH3PEjRA1tsGyBDTiTojyEUumLRFK8sr4i38dXv56qztbFz57bLwnlTLGe2esyLmhYNnZ6t6B+arbhd1uOs/Z4MU//epC+HQKq189WYXD2h8h4qFpTFtgVHlgHK56CnV/BxrmQ8i9c/qriKMw7Wky1vBipbzbDDfOh+83maTXv1w5usGSi8v/X18DEP8GtdbziXnTUdN4mrqkWIQxQgUAgENTL7UPi+H77CfbnlvPCz4ksmDLs3M6a63xv/AJ+uEuZCvjdLXDnUogYaBPNgjooK1DOS8kp9poi+V/5QwRq8qudBjlo4PI4D+4bGkPPKOVh1Gg0Eu9hxODoRacQnwYNy8ZO7xbUT1UbDogN5PJ315JVZOTRb7fyzZTLLjyd2d5ZmZUQPQJ++x9k7IQvr1D2taLXU4ENOZtdK0mWtEgRg+vOX/N+ffdv8OWVijG14Fq4Zzm4+NR9nEChpvM2cU21GLFAQyAQCAT1otFoeOm6bkjAPynFrPwvte6MOnsY/7XyAFxRAt+OhxM7rKpVUA9GgzJFM/cQpQ5+3F/+OCkEs8XUudpj7ZvXxfLBhCHVxmcVAW4OjOoeIYxLK+Lm5MCc8d3RSrAxrYQv19XvrKwWna+FO34yT5NNysh3QYZFdQpsSFkhrH6p8oPi/ViWNMhXzW7cyJxnGEz4FdyCFEdF31wHpfmtpbbtc77zNnFNtRgxAloDo9GI0Wi8cMZ6jq25tQVq0CB01Nag0+la1LcspaPmtj3rUIMGtem4UB/tFenH1Z08WHaogJeXH+TSTkHY6epwKa+xg/EL0Cy6DSnlX+Rvrsd0168Q1OOCGmpubcXFqkP66yk0R1Zh0jkxxTCDbLzN9muA7uE+tepTQ3u013tov44BTOznz2fbcnh7dQqDYwOICfJqnI7yYmpdnbIR46kj4BrYYm1q6Bdq02HtPiqteAZNQTqyZwSm237AVJjF0TMyHboPQdtYDR4RcOfPaL6+GunkHuSFN2K64ydlim4zUdM5saiOU4fRnj/duRHXlBraw5r9synlqzYOqDVISEggISEBo9FIcnIymzdvxtXV1dayBAKBQHXkl1Yw+bdMiivgvp5uXN/Vu968GkMJEf8+hsvpPRjs3Unv/38gadC7hinr1wRWw/vITwQnzgbgUdMMfinvi5MOygyKT0wNMLmPO1fFe9lUp6A2BqOJJ1dkkpRnJNZLy1tXBKPTXnjimq4kh7g/bkSq4dJIRiLpyqXi+rsIcD25lcgNSpSIY5d9SIlfrxaV55B/hKj1D6GrOEuxby9O9HkS+9Iccb+ugfOp/4haN5WakXZlID/ySrK6P4zJvvlG+8VEUVERAwcObFQc0HZtgFZRFTg1Ly/vgg1WH1VGbGxsrM2CzapBg9Bhjl6vZ86cOUyfPt1mAapBHW2hFh1q0KAmHU3pox/9vZd312fgYiex6tEh+Hu6NFBwIZqFNyBl7kKm0k+upEG+ag5yr7vMsqqlLS46HUdXo/n+ViTZyNuGW0kwXEOkh47P7+mHJMHhrHxigjyJ8Kt7eq0a2qO930OPnjzDNR9vpcwA9/bzY9a4no3SIe3+Bmn5DKRKr6cyEqbJ/4J/5xZrUkO/UJMOq/bRskI08wYhFWZiuuQB5DFvABZoi8zdaBZeh6Q/e8H7dUOo5ZxYWoe0ZCKag7+eaxskxeswIDv7Io98AbnHbcra0FbU0Rys2T8LCwvx9vZulAEqpuDWQKvVtriDWKKMlqIGDULHuboNBoNoCxXqUIMGNehoSh998PLu/JSYTUqBgVd++4+EiQ3E/HT2gmsT4OOB1W+NJdmEtHwGxIyuc52SrdviotKRcwj5p3uRZCNLjENJMIzjkhAnPrtvMO7OykNIh8D6R7EtpqOFtPd7aGyIL0+OjOKlFcf5akcuw+Oz8WqMjr73KNdZ3jHYMAfp6Gq0fz8Dd/+quD+2AO31nNRVv9X66KpnoTATvKLQjHrxnCfkGlqapSGsL1z3MSy+s9H364aw9TmxqI70bXDwV5A0SHcuBY0OybuDEm/1j5lIp5KQlv0Pdi+AK9+B4J7nvOV6RlpORzOxZv9sSvnCCZFAIBAIGoVOq+H5qzsB8EdSIdsOZzV8QMmp2mmyUXkoFrQOBRlwcBmmhTcg6c+y1dSJpyvu46Zu3nw3dVi18SloO0y4rBNDI10wyTDzp32UlDd2jV8IRF0KV70LWgc4vh4OLW9dsYLW4/BK2L0QkOC6j8C+gRkozcGxjpkQ7f1+Lcuw4mnl/553QPRw5ZryCIEOw2DKBhj9Mti7wont8Okw+PIqmNsVvh6H5v0eeB1fZstvoFqEASoQCASCRjOiWwTDolyQgad+2sOK3cdJzSmoO7N3dK0pSUha8O7Q6jrbJbsWIM/tCovvRFOYwWmTG1MrHuXRER14545BjVo/KFAfGo2G2bdfgreThqxiE+9tzGHlntT6r7vz8Y6CQQ8p/694GirKWk+soHUoPaOE1wEYMBUiBlm+DnG/rs2BXxTD0s4Zhj9Te7/OHgY/DA/tgG7jARlSN1R7y5VkE8G73oJC4S33fMSvkUAgEAiaxEvX90IrwdF8A5MXH2DY7A3MW7m3dkaPECVWWs2HmtH/JwJ4twYFGZh+ewSphqdGT6mId8ZFMfXy7jYUJrAEvu7OvHFtPAAbM8qZsvhg/dddXQyZoYTcyE+FzR+2olJBq/DX03A2C3w6wohnW6eOqvv1uUm4MG5u+71fG/Sw6kXl/8GPgHtQ/Xndg+DGz2DMa7V2SbIJ8o63jsY2jDBABQKBQNBkjDXc18nAm6vT6h6R6X03PLoPfDtZTVt75OSxPWgwDxOglWTinfJtI0hgceKCzT0VN3jdnY+Dq/LyB+Df2co6QkHbIOlP+O87QIJrPwJ759arq/fdcNsi5X97V+hxe+vVpXa2fwZnUpQwK4P+17hjOl9XaxRZljTKLASBGcIAFQgEAkGTSMo8UyvNBCRn5dd9gEcI9H9A+f+/71tNV3smqcwb03k+7Q2yhmS9CK9ysdDk6+58uo2HsP5QUXxuZEegbkryYNmjyv+DHoLw/q1fZ8xocPKG8rOQsaP161MjJXmw/i3l/xHPNH697XmjyDKQ2XsmuLfTUeQGEAaoQCAQCJpEXLAXdfnRXHswC5PJVMceoMv1oLWH7H1wspHTBgWNJjK6E2lyQPVng6zhWcN9RHQQI88XC/Vdd5rGOrWVJLjiDUCCPYsV754C9VKQAUsmQtFJ8I2tew1ia6DRQvQI5f/DK61Tp9r45x0oywf/LorzoabQ+264T2k3CShuYZzWixVhgAoEAoGgSUT4ezBrZHitH5DvEk/zv683UmGow0unszfEXqH8/9+iVtfY3ohwKiVSkw3Ag+UPM1T/HlHDJhDhX3eMT0HbI8LfgydHhNW67mb8tJ/E49mNKySkN/SqfKD+cybU98JIYFt2LYA5XeDYOuVz/Diwc7Je/R1HKdsjq6xXp1rIOwbbPlX+v/xlxSBvKmH9qo14z5Q/LCju4kHEAa2B0WjEaGyke/M6jq25tQVq0CB01Nag0+la1LcspaPmtj3rUIMGteloTh+9f0RnRncL4XBWPjFBnvy6I5X3N2SyPKmQrIR1zJ84AE8XR/ODut+K9uBvyHt+wDTiedDoqjXU3NqKtqyjdPdSXIFdpo4MvPxWnugURISfR4u+ixraQ9xDzbl3WCdi3CqocPDE29WRmT/tI6XAwJ1f7OSzO3vQr2PghQsZ9iyaA78iZe7GtPsb5J53NkmDWtpCTTos2kcLM9AsewSJc3Pq5Q1zMfW+p96pnBZvi6jL0AJkJWIsPAkufo06TE3npLk6pJUvojFVIEePwBQ1DJr5XaQed6A5ugav1D8wVrwJ2DernJZizXtoU8qXZFmWL5zt4iQhIYGEhASMRiPJycls3rwZV1dXW8sSCASCNsmG44XM3nKGciOEu2t4Ybg/AW414k6aDHT6/Vp05fmkDH6boqBWCCXQTvFc8RChZ3fzvnQ7I26cZms5AitRWGbguVUnOZpvxFkHz13mS7egC69X80n+nqA9H2Jw8CL5ikWY7MSzj1pwydlJ1D8P10o/PvQDiv17W01H9KqJOOUnk97veQoixlitXlvidGov0eumIKPhyOiv0HtEN7ssyVhO3PLr0JUXtJvfu6KiIgYOHEhBQQHu7u4N5m3XBmgVhYWFeHh4kJeXd8EGq48qIzY2NhatthnD9RZADRqEDnP0ej1z5sxh+vTpODjYLgC8GtpCLTrUoEFNOizdR7ckZzJ10V4K9DJejhKf3N6DvtHnRmWkFbPQbPsUU+frkW/8HFBPW7RZHaVn4J0YtJh4IehTnr//JtvoaAXEPfTCOvKLyrhz/iYOnirHQQvv3xTPqO4RFyioHM0nQ5DyjmAa+BDyqP9rkQZboBYdFu+j+WloPuhptt5XlrSYHk5scATU0m0hrXkZzcY5mLqOR75+XqOOUcs5aZYOWUbz5RikjB2Yet2FfPV7LRfy1yy02z/FFHcV8s3ftLy8ZmDNe2hhYSHe3t6NMkDFFNwaaLXaFl8wliijpahBg9Bxrm6DwSDaQoU61KBBDTos3UcHx4ex9EFX7vliK+mFRiZ8ncjMkZGEersQF+xFRM87YNunaJL+ULwsOnmaaRHnpBk6jvwNmDhoCiO2cw+Laxf3UHM9atPh4+HCD9OGcscn/7InW89DPx5kjgmu7tOhgQKc4IrX4bvxaLbOg7grQTaCd3Sj4z6qsS1sVb9F+2juQfPPkhZp3Fy0XuGN0mKxtogZDRvnoDm2RnFgpWm82xhbn5Nm6dj/s+L1184ZzYhnwQL6jb3uhu2fIh1egaY0D1wbN5XZkljzHtqU8oUTIoFAIBBYlOhAL37932V0D3CgzAj/93cKDyzaz7DZG5i3TwN+8WDUw4FfbC31oqB0zy8ArDD1Y1S3MNuKEdgENycHFk+9jL7BjlSY4NGfDvLpqr38nZhSf5zQ2Msh5nIwVcBXV8LX42BuV8UBjsB27Ppa2faZCBN+h0f3Kp5VrU3YJWDvBiWnISvR+vVbE4MeVr6g/D/4EXBrxFrqxhDQmRKveCSTAfYI53s1EQaoQCAQCCyOt5sT79xi7n5eBt5ck86ZjtcpCcIbbsvRF2GXsg6Avc4DCfBsZLw6wUWHk4MdC6dcxuBwZwwmeG1V2rkXPyvrCX00+FHzz7JJiTtZkNHacgV1UZABh/9W/h/4EERd2ugRaYujtYMOlyn/H1ltGw3W4p93ID8VnP1g0P8sWvSZqKuVf3Z9A2LVYzXCABUIBAJBq5CSc7ZWmgnY6zECJA2kbVZc3guaz5FV6Ex6UkwBeId3tbUagY1xtNfx0vU9zNJk4M3VaXWPhMp1eK2UjeK6tBW7FyovASKGgG9HW6tpH+FYtnwM/7yl/F9yCvb9ZNHiC8JGIeuc4FQSnNhu0bLbMsIAFQgEAkGrEBfsZeZIA5QfnYgOcdBhmJLw32Irq7q4kA/+BsBfpn4M7RRgYzUCNXAsu7BWmglIzsqvndk7WnkZVBNJC94NrB8VtA4m47npz33usamUajqOVLYntinOzi42CjLgr6dqJMgWnwFgsnNF7nyt8kFMb69GGKACgUAgaBUi/D2YNTLc7Ifmlh7eRPh7QI/blIT/vhfTkpqLQY8paQUAK039GNYl1MaCBGqgrhc/EhAb5Fk7s0cIjHvPPOe4ubab9tmeOboGCk+AkxfEj2v0Yak5Bazck0r2Wb3lNXmGg2+cMip7bL3ly7c1eUeB835/WmEGQHWs3f0/g77IomW3VYQBKhAIBIJWY/LobqydMYRegYr794Iyg7Kj01Vg76qsu0nfakOFbZhj69FWFHFS9qLMOx43J9uFKRGoh7pe/GgkMNX3oqf33TB0pvJ/cC/bOLwRwM6vlG2P28DOsVGHzFu5l2GzNzBl8UHu//Uk81fvt7yui3karldU7bTWmAEQPlCZbVBepBihAmGACgQCgaB1ifD3YMowZT3TuqOFFJeVg70LVE5LkvZ8b0t5bZfK6bd/G/vSL9LLxmIEaqLqxc+nt3Ym2lOHUYYXf06s/4C+EwEJMndBfrq1ZAqqOHsSkv5U/u89oVGHpOYU8MbqtOrxOxl4a016/V6Pm0vVNNwjqy++2Srl541GStrWmQEgSdCrchR0t23igaoNEQe0BkajEaOxjgX5jTy25tYWqEGD0FFbg06na1HfspSOmtv2rEMNGtSmwxp9dHjnEHydDnKq1MTSrUe4fUgcdLsFbeK3SAd+QYqcqIq2qLlVtQ6TEc2hP5BQ1n9OiguwuG41tIe4hzZfR6iPK6E+rrg72XPbl4msTylm5X8pjOhaR6gelwA0EYORUjdg2rsEedDDFtHQmqhJR0v7qLTrGzSyETmsPyafGGhEOQczTp8/eRQTsOK/VO4b0aVZOuokbAAanRPS2UyMJ/eBf+d6s6rpnDRGh5SyEQ0gh/bHNPwZ8I4C95BGtX+TdXS7Bc2aV5DSt2I8eQD84ixSR2M0WOse2pTyJVm+2F5nNJ6EhAQSEhIwGo0kJyezefNmXF1dbS1LIBAILkq+2J7L0qQSevrreOXyEJBNxP55E/Yl2aT1f4nCsFG2lthmcM7dTYf1D3FGduVSw0d8c3MUdloxqUlQN3M3nGRVip5wNw3vXx2Cro6+4nXsN0J2vUmpR0eOjv7aBirbKbKJ2L9uwb44kxN9nyE/8spGHbY1rZCX/6nbMdCAYHtu6+5JtK+TRSRGbHgMt5NbyOo2jdNxt1ukTDUQuvVFPNNXkhN/Lzld7mv1+sI3zsQ9ayO5sbeR3f2hVq/P2hQVFTFw4EAKCgpwd3dvMG+7HgGdNm0a06ZNo7CwEA8PD+Li4i7YYPVRZcTGxsai1WotrLTtaBA6zNHr9cyZM4fp06fj4GC79VlqaAu16FCDBjXpsGYfvcfVj6VJO9iTa8A9IJQQbzek7Dthw7t4pf5J4Mip4pw0UoeUphgIq4y96RTgSveuFhzxaIKO1kbcQy2j4+WgcDbN/Ze0syb+zTQx9fI6+ktkIHLibJwKjhDvK4FfJ4tqsDRq0dHiPnpsLdriTGQHd4JGPUiQnXOjDntxzTqzzxIQ5anjWL6BLZnlbMnMYUiEM9NHd6JnlD+puQUkZ+UTG+RJhJ9HkyRKZ6+Fk1sILNqHf3x8vfnUck4aq0Oz8iAAPn3G4RNV//eymA7Ng/DDRnwzVuF901wl1morY817aGFhbQ/c9dGuDdDz0Wq1Lb5gLFFGS1GDBqHjXN0Gg0G0hQp1qEGDGnRYs492jwwg1seO5NMVLN58jCeu6Q09b4cN7+J6chum0lNoPYJbVUNjsPU5uaAOWYZDywFl+u3ADt6tqlfcQ831tEUdQT7uTB4Ywpx/Mpi3KZNbBsXg7+FinsnVV3E4k/wn2gM/w4hnLaqhtbC1jhb30d1KaA6p+y1oHd0adcjafWnsyCxDI8H827piMBrRlZ1h2CU9SUzJZfaKg2xMK2FDagkbPttFBy8dx88YkFEM1Vkjw5k8ulvjNcZcDiueQkrbjNZQCg4Nzxa09TlplI78dCg4AZIWbdglYI17aNwV4OKPVJyD9ujKJnk7bknd1rqHNqV8MV9HIBAIBFbj2u6BAPy+P1dJ8O2IHNIXCRPSviU2VNaGyNwFhRkUyw5sMHVjWHyQrRUJ2gBTL+9GuLuOogqZl3/ZXXembjcp270/XnwOZ9RIUU71yyT6NM75kMlk4q2/kgC4Itadkd0jGNU9ggA3ZXSrT3Qg304dztIH+jAkQnnJcKzS+ATFWdGbq9Oa5qzIJxo8I8BYDikbGn+cmknbrGyDelzQoLYYWjvoWRmCbFf7dkYkDFCBQCAQWI1bBnZEp4HUAgM7jpwEQO5+KwDSf4tsKa3tcHAZAGtNvXCwd6BnpL+NBQnaAnY6Lc9eqTg++f1gATuOnqydKW4s2DnDmRTI2GVdge2RxO/AZICQPhDYuBHJZTuPcfBUOXYamHV193rz9e4QyMIHh/H0yPBa+0zAxqTMxuuUpIsvHEuVARoxyLr19rpL2R5ZCYVNOAcXGcIAFQgEAoHV8HV3pn+ossbpuy1KsG+5y/WYNHZIOfth59dQkGFLiepGlqsN0BXGvvQKdkYrnA8JGsnlPSMZEuGCDLzwy15MJpN5BnsXiKt0grP3R6vra1fIMuyqdPbU555GHWI0mpiz6igA13f1JrwRaznH9AhHqiP9+T+O8fi3m8jOL26c3ovNAE2tNEDDB1i3Xt8YJS6obFJeQLRTxK+WQCAQCKzKTX2VMBCrkvPRVxjAyYsy98rA38sehrldYdcCGypUMblJcPoI5ehYa+rJoGgfWysStDFeur4H9hrYn1vO9xuTamfoNl7Z7l8KJtuG07ioSfkX8o6BvSt0uaFRh3y3MYmUAgNOOnj8qvpHP2sS4e/BrJHh1Q/8EhDkqsUgw5K9Z7jsnXW8tGQb+cVlDRcUdSlo7ODMcTh9tFF1q5aSPMhVHBARPtD69VeNgu5eCOe/BGonqNIATUhIIDIyEkdHR/r378+2bdsazD937lzi4uJwcnIiLCyM6dOnU1Z2gQtJIBAIBDbhyl6RuNtLFJbL/LE7BQozcMpPPpdBNsGyR8VIaF1Ujn5uMHajCGdGdLFwwHTBRU90oBd39PYD4N01KZwt1Z+XYQQ4ekJRtmIkCVqHnZWjn93GN2oNor7CwIfrUwC4vbd/bSdSDTB5dDfWzhjC/Nu6sm7GEDY+fTkfjo8nylNHmQG+3JHL0DfXMHv5bpIzTvN3YkrtNaIObudGC4+sbnTdqiR9q7L1jQUXX+vX3+U6sHdTjPktH7fL3zrVGaCLFy9mxowZvPDCC+zatYsePXowZswYcnJy6sz/3XffMWvWLF544QUOHjzI559/zuLFi3n66aetrFwgEAgEjcHBTseoWE8AluxIh7xjSOeHVJeNyuiAwJyDvwHwp6kf/s4aYoK9bSxI0BZ5/Oqe+DppyCs18dayRPOdOnvlARlgr3AM1ioUn66+lhvrfOjzNQfILjbhbi/xyBWNG/2sSYS/B6N7RBDh74FGo+HqPh1Y9cRoXr0qmiBXLYXlMu//m8nlH2zhgUX7GTZ7A/NW7jUv5GKZhpu6Sdlae/ptFfYu59b8/v10u5z1ozoDdPbs2UyaNImJEyfSuXNnPvnkE5ydnfniiy/qzL9p0yYGDx7M7bffTmRkJJdffjm33XbbBUdNBQKBQGA7bh+gTLndeqKEM/bByOf/HEla8O5gA2Uq5kwKnNyDCQ2rjL3pE2olz42Ciw4XR3ueGK1cX4sST7F+X7r5qFfXSm+4B34Dg76eUgTNZs8ixaNsUA8I7nXB7EWl5czffAKAewcE4+5smXiOWq2GOy7txLonRzFlQKDZvjq95VYZoCn/QkUbnmlY5YAo3MoOiKooyID0Lec+t8NZP6qKA1peXs7OnTt56qmnqtM0Gg2jRo1i8+bNdR4zaNAgFi5cyLZt27jkkks4duwYf/zxB3fddVe99ej1evT6czfUqsCp56c3BaPRSEVFBXq93maxj9SgQegwp6o/NbdfWQo1tIVadKhBg5p02KqPdgvzIsJDR2qBgW/3FHFdz8cIT3wHCRkZMIx9B5OjL1hRl1rOSX06tPt+QQckSvGcwZ0BUV6tet7U0B7iHtp6Oq7pFc63W9PYk13OhIV7AGV94Mzhodw7tA/2bkFIZ7OoOPgnptixraKhJahFR5P7qCxjt+NLNEBF9zswNeK49//aw5kyGV8nDRMvjalVlyXaonuoB2DuGdkEHEjPJdDDUUnw7Ii9awBSUTblR/9BjrrM4josQYM6Kkqwz9yNBOiD+rTqb0x9OqTsQ9jL5639lI2UZychO1p2SrA176FNqUOSZfUEesrMzCQkJIRNmzYxcOC5RcEzZ85k/fr1bN26tc7j3n//fR5//HFkWcZgMDBlyhQ+/vjjeut58cUXeemll2qlz5o1C0dHx5Z/EYFAIBBckHSXWFadcifSVWa4cScx8lFu51dKceAtpiqu/wXVTJQXEU4mz1dMYIFxDHe57kNnbMOjEAKbU+AQyNL8ULM0DXC7+0GuKv+DgexkH7H8JF1tG4EXIWFyBveymHJ0vMtkyqWGRzONWgeWlHWjxABX+Z7Gv/h4q+iqsHPh28J4s8UQEnCH+0HsKs55yr1GXkEv9rOJPqyULqtVjtqJkNO5hx8pxIU5PGCT3xk3+SyP8hmaGq1tQmIu93NWcrO6HktRVlbGG2+8QUFBAe7u7g3mbfMG6Lp167j11lt55ZVX6N+/P0eOHOGRRx5h0qRJPPfcc3XWU9cIaFhYGDk5ORdssPowGo0kJSURFxdn05EdW2sQOszR6/XMmTOH6dOn4+BgmSkzzUENbaEWHWrQoCYdtuyjmXlFjHx/CyYZ3h/jw6i+nXB6rxOSoZTySRuQfWOtqkct56ROHUXZ2H/QHQmZAWUf4OARwN8zhllfh5UR99DW1bF6bzpTl9T2hPvx+DhG+uRh/9VoZJ0T5Q/vr3aUc7G2RXNpah/VLZ2INmk5xk7XYbj+0wvmf+nnXXyXmEeom5YV0y9DV0fYJUu1xRfrDvH22hNUjc3Feev47ZFhZnk0B3/F7pdJmHzjqJhk7qRKLeekIR3aDe+i+/dNjPHXYbjuwu3fWjo0/32L7s/HkWQjsqRVZv30uMPiGqx5Dy0sLMTf379RBqiqpuD6+vqi1WrJzs42S8/OziYwMLDOY5577jnuuusu7r//fgC6detGcXExDzzwAM888wwaTe0L1cHBoc6TUF96YzAajdjZ2eHg4GDTB2tbaxA66qYlfcsSqKUt1KBDDRrUpKMKW/TRqCAHegc5siOzjHUppVw11A0ppA+kbsD+5C4IaVxgdkuhlnNSp45tSwCZNLsoTpb5cFO4W6ufL7W0B4h7aGvp6BLuh0SS2aiXBugc5oe9XzR4RyPlHcXh+CrocUuraGguatFRRaP66JZPIGk5ANqk39DuHwm97643e8bpsyzZmwfAoyM64OLsVGc+S7XFg2N6cGWvSJbtPM476zNIzjNwNOcsncNqTAuNHQWSBs2pJBxKc8AzzOI6WkqDOjIUHzHaqCFobXkPveReiBujOOHz7oCdR+t6NLfGPbQp5avKCZG9vT19+vRh9epz7p1NJhOrV682GxGtSUlJSS0js+okq2hwVyAQCAR1cH0v5Ud3fVopRqMJwvsrO9K2NHBUO2PXAlitLBsJrTjOzdq1XBrrb2NRgouBqhiRNSchDuvgSoS/hzI1sSom6N4fbaLvoqIgA/6ade5zIxzPvLV8D+VGiPG244b+HVtfI0qfeGhsT/qFOCID7/y53zyDszeE9FX+3/pJ23KcYzTAie3K/7bygFsTjxAlvmorG59qRFUGKMCMGTOYP38+X3/9NQcPHuTBBx+kuLiYiRMnAnD33XebOSkaN24cH3/8MYsWLeL48eOsXLmS5557jnHjxqnijZhAIBAI6ueGS6Jx1sHpUpk1+9PPBQVPFwYooDzcLXuk+qMGeE33OSPCxe+bwDJMHt2NdTOGcHWcMmVuQ0oR/6VUhr7rVukN9+gaKD5lI4UXCXlHoQnhptbvT2fZgXwAHr88ts4Zfa3JY2PiAVh7rIh9abnmO6tiZ27+sG2FEMneC+VF4OAB/p1traZdY9HeLMtyi0cdb7nlFt555x2ef/55evbsSWJiIn/99RcBAQEApKWlkZWVVZ3/2Wef5bHHHuPZZ5+lc+fO3HfffYwZM4Z58+a1SIdAIBAIWh8nBzuGdVAefJfsSIfQfoCkPJQV1R3/uV2Rd1QZKamBTjLhVnLCRoIEFyMR/h68d/dgegU6Um6CR77fTam+AnxjlFAhshEO/GJrmW0bz4jaafWEm5q3ci8TvtlTvRYzJfds62qrgwGxwQwIdao9ClqQAcl/nfvclkKIpFaFX+kPGvESz5ZYxABdsGAB3bp1w8nJCScnJ7p3784333zT7PIeeughUlNT0ev1bN26lf79+1fvW7duHV999VX1Z51OxwsvvMCRI0coLS0lLS2NhIQEPD09W/CNBAKBQGAtxvcLB+DflCIKZadzb6bFNFzwjgbMvTSa0IgYqQKLo9Vq+PCuS3C3l0gpMPDMD5VTFatigu79yXbiLgaKzP2bIGlh3Nxa0y9Tcwp4Y3WaWVqteJxW4vErlHvx+uPF50bF63gp1tBIrqqojv+pgum37ZwWG6CzZ8/mwQcf5Morr+SHH37ghx9+4IorrmDKlCnMmTPHEhoFAoFAcBEzpFMwAc4a9EZ4/dddnPWrDMyeXnforXaFRwj4x1d/NMgakno/3y7XDAlanxAfN/7vasX79NL9Z/h1+xHoeiMgQdomyE+3rcC2zLH1yrbjaJjwOzy6t04HREmZZ86fqIsJSM7Kb22FtejbMZBB4c6Vo6AHlETvaJDOMx/qGclVFbJcwwAdZFstgpYboB988AEff/wxb775Jtdccw3XXHMNb731Fh999BHvv/++JTQKBAKB4CJGo9EQ6qb8HH3/Xx7P76503y5GQJWHprNKcPhnyicywvAeUVf8z8aiBBcz113Skes6ewLw3LJkMo3uEDFY2bl/qe2EtXWOVxqgcVc06HjGxdGuVpoGiA3ybD1tDVC1FnRDajGJx7MV3ePe49zMDKnOkVzVcfooFOeC1gFCettaTbunxQZoVlYWgwbVfpMwaNAgs7WaAoFAIBDURWpuAbuyDdWft8txAMhZiVBeYiNVKiHvGJTmYZDs+NE0DA+fYBztVRVBTXAR8votlxDuoaOwXGbaN9swdblB2ZH4HaT8i65ErM9uEhWlkK6E/yDqsgaz/rrLfPqtBnhyZLjimdgG9IkOZEiECzLwdtUoaO+74fpKXyseIQ2GklENaZuUbUhv0NkupJNAocW/Yh07duSHH37g6aefNktfvHgxMTExLS3eqhiNRoxGY7OPrbm1BWrQIHTU1qDT6VrUtyylo+a2PetQgwa16bB1H03KMJ9ydkL25aTsRaDpDMYTO86NvrQyajonVVspfTsaYK8xgnLs2Juj55O/9zBpZBer6rAVauifVTpqbi92HfY6De/f0oPxn+1kd1YZH2V0YJqkQco9hPaba4lDg5F3MfaZ0Ko6GkJN5+SCfTR1M1qjHtktCJNnFNSTL7+ojGUHlLifz4wKJ9zHhZggTyL8PBr8nq3dFjMuj2Pj/F1sTCthW3IGfaIDoePlaJCQCk5gLDwJLn6qOifn65BSN6EBTGEDkK2kTw3tYc17aFPKl+QWuq396aefuOWWWxg1ahSDBysPCRs3bmT16tX88MMPXH/99S0pvlVJSEggISEBo9FIcnIymzdvxtXV1dayBAKBoF2RfVbP/b+eNDNCE+ze4yrtVrK7PEBuvO0ecm2Nx7Z3CEv7mS8NY3jJoLSDBph/bSABbuItvqB1+XV/HvN3nyVEOs0Gh/+ZucOSJQ1JY3/C4Cxi0l6IgL2f4Jf0DWfCryDjkufqzffDf6dZsLeIYFcNH18TgtbKoVca4tW1WWzOKKdfkB0vjAwGoOPfd+BYmELqoDc4G3ypjRU2TMyfN+NQnEHK4HcoChpoazkXJUVFRQwcOJCCggLc3d0bzNviEdAbb7yRrVu3MmfOHH755RcA4uPj2bZtG7169Wpp8a3KtGnTmDZtGoWFhXh4eBAXF3fBBquPKiM2NjbWZvFH1aBB6DBHr9czZ84cpk+fjoOD7R4W1dAWatGhBg1q0qGGPhprNDLlRAmf7CysNkI9Og6A41vx1x/DNz6+weMthVrOSU0dJasOA7DbdC4IvQkwOHoRH19HWIdW0iHuobZvC1voiIszsSf3XzSZJ8/zxQySbCLGRwuR1rk+z0ct56QxfVSzWZm66tFzHO713M/0FQaW/6Q4ebr7khC6dmn8LAdrtMUsFz+um7eD7VkVFNl50a9jINKRIZCYQhgnkePjVXNOauk4exJtcQYyEmGDbgRH60xnVkN7WPMeWlhY2Oi8FllI0qdPHxYuXGiJomyKVqttcQexRBktRQ0ahI5zdRsMBtEWKtShBg1q0KGWPnpVvBedIgJ5ZGkyjloYOPI6+Ow9pPTtaCUJrDgSYOu2qNYhG/AoTAYgUT5ngGqATiE+VtMo7qHmetqTDq1Wy/t39ufuuRkYZQmtdG6eggkNWt+O0M7v5Rfso2UFkLkbAE30sHrba8mGJE6XmvBwkJhwWXyzvlNrtkWPqAAui3Jl3fEi5qxMYnFciBJPM3EhmowdZt/L1ueklo4MZf2tFNAVrYu37XTYAGveQ5tSfrN+0WtauIWFhQ3+CQQCgUDQGEZ3D8dOA2VGSDIGg50L6Asg96CtpdmG7L1IpnIKJHfSZGWao60dkgjaHwGeLtw1vA9PGe6natGWSZZ4uuI+UvVi2dIFSd2kxM30jgaP0DqzmEwmvtysjH6O7+GHk0NtT7hq4ImxXZCArSdK2ZKUCaH9lB2Zu8BoaPBYm5JaGX4lQky9VQvNMkC9vLzIyVE8oHl6euLl5VXrrypdIBAIBILG4GCnI9JTefDamXoGQvsqO9ppOBYpYycAB6VoQGJCH1/WzhjC5NHdbCtM0O7w93DmB+Nw5huuBGC9qTuLjMNtEpuyzVEV/7ND/d5v//4vleP5Buy18MDIzlYS1nS6hPsyIlp56fDaHwf4O8MBk707VJRAzn4bq2uAKg+44QNsq0NQTbOm4K5ZswZvb2UIe+3atRYVJBAIBIL2S3yAM4fzCvgv/Qx3hQ9QYuelb4V+99lamvWpNEC3lEcDcMfgGDHyKbAJccFeSMAy0yAe4A/6aZJwwGCz2JRtiuP/KNuoofVm+fSfYwCMjfPE38PFGqqazWNXdGFNwlb2ZOt5YPFBFthFMFS7Vwkz49/V1vJqU1YA2ZXGcXjtsJEC29AsA/Syy869xYmKiiIsLAxJMl+eLssy6enpLVMnEAgEgnZFjzAvfjtYwMGTxTCg8m112mbbirIRVSOgu0zROOugY6CnbQUJ2i0R/h7MGhnOG6tN5Mru+EmFvN3njHghciGKcs+NDEbWbYAmHs9mV1YZEjB1ZCfraWsmLg52Zh7Ld8sxDGUvRUc24tTnXpvpqpf07coUaK9IcA+ytRpBJS326hAVFUVubm6t9Ly8PKKiolpavEAgEAjaEX2j/AA4kleOIagPSBrIT4PCLBsrsy5afT7SmeMAJJqiifZ2QKOikAyC9sfk0d149vIO/GPqAcBYlyQbK2oDpFSOfgZ0AxefOrMkrFbacVC4M3EhdedRE0mZZ8w+7zLFAKCpfGGmOqqn34r1n2qixb9msizXGv0EJRaMo6NjS4sXCAQCQTuiS7gv9lrQG2F/jh4CKkMRpLevdaBOeUrYhmy7EApxJT5Q3dPyBO2Du4d2YqtGCbFXcuAvG6tpA1xg/WdabiFrjp4F4MHhMdZS1SKqpmNXsdukLBFwLk6D4lO2EdUQVQ6IhAGqKpodhmXGjBkASJLEc889h7Ozc/U+o9HI1q1b6dmzZ4sFCgQCgaD9oNNqiPay5+CpcnYey6VH+EA4uVdxRNTlelvLsxrOeYrn3z2y8nDXLdTThmoEAgU7nRb7DkMwHvsAj6JjyuwEz3Bby1IvxysN0HrWf368+gBGGeJ97RkSX7eHXLVRNR37zdVpmIBCXDkqBxMtZVauW1dRfzDoq9fSEyHWf6qJZhugu3crMY1kWWbv3r3Y29tX77O3t6dHjx48/vjjLVdoRYxGI0ajsdnH1tzaAjVoEDpqa9DpdC3qW5bSUXPbnnWoQYPadNi6j57fFvEBzhw8Vc5/J85g6tEPDZ8ip23B1Mr61HROqkZAN5V1AKBXhI/VdamhPdTQP6t01Ny2Zx3jBnRh19EY+knJFPz3O65DJttEhxraoqr+OvtofhraMynIkhZTaH84T2d+cRm/7j8NwL2Dwlv0PazdFveP6MzobiHsTTvNm38fYWdZDNG6TCpSNkNYy76LJaiq33RiJ1qjHtnZF5NnVK1zYC0dtr53Wese2pTyJVmW5Qtnq5+JEyfy3nvv4e7u3pJibEJCQgIJCQkYjUaSk5PZvHkzrq4ippVAIBDYklWH85m7tYCOXlo+HG5Ppz+uR5a0HLz2L0w65wsX0NaRZTotuxJdeSHj9K9wWNOBxbeEoRVrQAUqYfPP7zPJuJgk10uouGKOreWoEs/jvxO683VKvLtybMS8WvuX7DnNV3uKCHTRMO/akDZ7fWcW6Nm44jte0nzGAbuuGMZ9rJr16r6HviFw3ycUBA8lfdDrtpZz0VNUVMTAgQMpKCi4oF3Y7BHQKr788suWFmEzpk2bxrRp0ygsLMTDw4O4uLhmG9JVRmxsbCxardbCStuOBqHDHL1ez5w5c5g+fToODg420QDqaAu16FCDBjXpUEMfrdUWbqeZu3U7qQVGwrsPRt4YilRwgjjXIojqYz0dNsKYm4yuvBCDZM8hOZwYb3u6dulifR0qaA819E9QR1uoRYfRaGRj6ABIXUx40X/Yx3QAnfXPjRraAurvo9KhuQA4dh5DfHy82TEVBiO//7QagDv7Bbf4+rZlW8QDThWnYN1nRJQf5p29p3hq/BBVXCf+ZUcBcOtyea1z0Jqk5haQnJVPtL87+jMn2809tLCwsNF5W2yAAuzYsYMffviBtLQ0ysvLzfYtXbrUElVYBa1W2+IOYokyWooaNAgd5+o2GAyiLVSoQw0a1KBDTX20SkN8qC9OOig1wIGMM/QNGwAFS9Ce2A4dR1hNh62QshIBOGHfgYpSHZ0CXGzeR8Q99JweoQM6d+5JdoonAVI+R3esIHqw7dZn27ot6uyjslztAVcTPQzO07doUzKnSk242UtMHBZvMf22aotLh45C/48zLqYStu4/xOr4SMb27mB1HTXRFZ9ESlU84GoiB9c6B63FJ3/v4c016ciABEzp4058fPu4hzal/BaPkS9atIhBgwZx8OBBfv75ZyoqKti/fz9r1qzBw0PEhxIIBAJB09BqNXT0Vt7U7jyWC+GV8UDbiyfcTMVpRmKld8luIZ42FCMQ1MbLxZ4Djr0ByNj+q43VqJBTyVCUDTpHCL3EbJfJZOKLTWkA3NjdFxdH+7pKaFtotNhHKN+zl3SYJ34+xOHMPJvJkXZ/Q9yfNyFVFCsJWXusUm9qTkG18QkgA/N2FpKaW2CV+tsSLTZAX3vtNebMmcOyZcuwt7fnvffe49ChQ9x8882Eh6vIE5ZAIBAI2gxdgpT1+HszCmoYoNvBZFvnFtZAqvTa+E+pEku7d6SvLeUIBHXiEDcagLAzW6kwXPzXZZOoCr8S1h/szEMSrtmXztEzBuw0MGVkZxuIax2ksH4AXOpwlKIKmfu/3s7ZUr31hRRkIC2fjkQNFzfLZ0BBRqtXnZR5hvMd65iAw1n5rV53W6PFBujRo0e56qqrAMX7bXFxMZIkMX36dD799NMWCxQIBAJB+6NHmBcAB7OLwb8zOLhD+VnI3m9jZa1MRZkSdgbYbozGXqPERhUI1EaP4TdhkDVESZms3/ivreWoi+P1x//8YPVhAIZEuBDodRE5vqwc6b3U8SgeDhKpBQYe/GozJpPJujryjiLJ59UpGyHvWKtX7evmWCtNAmKCPFu97rZGiw1QLy8vzp5VguiGhISwb98+APLz8ykpKWlp8QKBQCBoh/Tt4AdASr6BUoMJQpW366Rd5NNwT+5FMlVQonUnXfYnyssOnVYdHiUFgpo4uvuQ4qSM4GXsWG5jNSrCZISUSoM8ytwA/b+ftvNftjIquO54MfNW7rW2utYjtC8ALiUn+HBcCFoJNqQW89SiLfydmEJqjpWmoXpHI0vn3TMlLXi3/prUf5NO1kqTgdTcs61ed1ujxb9qQ4cOZeXKlQCMHz+eRx55hEmTJnHbbbcxcuTIFgsUCAQCQfsjOtATVzsJowz/HW9H60AzdgBwzC4GkIjzbwdhZwRtFvtOlwMQXrCdvLOlNlajEk7ugbICZdZGUM/q5NScAr7YnlP9WQbeXJ1mPcOstXH2RvbuCMAg1yweGx4GwOI9Z3hg0X6Gzd5gHYPbIwT5sqfOfZa0MG4ueIS0etW/7c0GYGJfP+bf1pWBYcqI6JM/H+BMUVmr19+WaLEB+uGHH3LrrbcC8MwzzzBjxgyys7O58cYb+fzzz1ssUCAQCATtD41GQ4xPpSOilFPnDNC0rTZUZQVOKAboLqPigKh7qKcNxQgEDRPaX/F+O0Daz4//7rOxGpVQtf4zcghozwWb+PdQZq2sJiD5IlofKFfOVJFObOOqnhHm+7Ciwe3io9Tp3wUe3Qu97271KncdO8nRMwa0EkwZ1YXRPSL48M4B+DpJ5JSYeOL7i/y3q4m02AD19vYmODhYKUyjYdasWfz222+8++67ODrWngstEAgEAkFjqHZEdKIAQvoob7ILT0B+uo2VtSKVI6Dry5TpYj2FAyKBitEEduOsnS9OUjlp/62xtRx1cFwJv0LUULPkfw/n1sqqAWIvpvWBVQZoxg6SMs/U2m01g7sy/IocN9YqI58A328+DsAloc4EeLoA4OnqyIyB3kjAqqNFfPvvQatoaQtYJA7o+ej1ehISEnjrrbc4ebL2fGi1YjQaMRqb58mt6rjmHm8J1KBB6KitQafTtahvWUpHzW171qEGDWrTYes+Wl9bdA/zhN2nOJhTglHriCawO1LWbkypm5Hdgq2mw2oUn0J7JgWA7RXR2Gmgc4iX6s6LtTXYun9W6ai5bc86ztcgxYyCA4voWLyTPSnZdAmzzksTNbRFVf3VfbS8FE3aZiTAGDEEKrVl5xez9qiyDlBCGQ3UADNHhBHq49ri76CWtjAF9VJGtjJ20nG0S/V3rUICogPcWlenLKNJ3QiAMXQgshXaRF9h4O9kxeC+sXew2fnoHuzKHb1g4e7TvPr3MQZ0DCDS33phKq15D21K+ZIsy+d7DG4Uer2eF198kZUrV2Jvb8/MmTO57rrr+PLLL3nmmWfQarU89NBDPPnkk80p3iokJCSQkJCA0WgkOTmZzZs34+p6EXkkEwgEgjZM9lk99/16Eo0Ei28OJWr/h/ge+YHT0TeQ1esxW8uzOK5Zm4jc+AR5DqH0LniLDh5a3h8XamtZAkGDuGWsJ2Lz0xw3BfB+1Dzu6+dna0k2wzk3kQ7rp2Fw8OLQ1ctAkgD4YnsuS5NKiPLQ8sxlfmSdrSDY3Y4ANwcbK7YwspH4X8egNZRyePQClmZ6M29nIVU+ae008Mm4wFb93vZFJ4j96xZMko6D165A1rX+bMyNKYW8vuEMbvYSC24Mxe48x3EVRhOP/5nJ0Xwj8T5aXr88+KJ0LldUVMTAgQMpKCjA3d29wbzNHgF9/vnnmTdvHqNGjWLTpk2MHz+eiRMnsmXLFmbPns348ePRarXNLd4qTJs2jWnTplFYWIiHhwdxcXEXbLD6qDJiY2Njbfa91aBB6DBHr9czZ84cpk+fjoOD7X5o1NAWatGhBg1q0qGGPlpfW8SZTHj8lU2BXqbYzguvHmPhyA94FyXjGR9vNR3WQsr+GYDjDnEAdApwIb4VvmdjsXV7gDr6J6ijLdSio5aGDiEYtzxPlCabY6nHibljiFUertXQFmDeRx1zfgVA03E48Z0VD8H5RWX8tSgVgMmXRjK8f4zFNailLYxGI6VenXHN3Um0/Wkev+Fqxl9aQFJmPm/+fZiUfAMfb8/n+weHotG0Th+REpU4yqXe8cR07m6V9nhtvTLt+vIYD7p37VKdXnVeusR34gOvIK6ft42Dp438ebycmeN6tbousO49tLCwsNF5m22A/vjjjyxYsIBrrrmGffv20b17dwwGA//99x9S5RuftoZWq21xR7VEGS1FDRqEjnN1GwwG0RYq1KEGDWrQoaY+er4GrVZLjI8DOzLLSEzLY9ilgwCQcg6grSgGx+a9MGyqDquRuQuAHRXK+s+uIe42Pycg7qHn6xE6ztPg7IUxfACkbqBXxW7W7B/O2F5R1tdhI2r2UU3KBgA0HS6DSk2frj1EiQFC3LSMHxiLthWNc1u3BUCJTxdcc3eiydgJ/e6lQ6A3HQK9CfZ25cZPt7Mjs4yFGw4zcXjn1hGQthmAYr9e+FihPbLzi9l6Qgk7efug6Drr02q1dA7344kREbyyMpXPtmYzvHM2A2Itv5SkrrqtdQ9tSvnNvgpOnDhBnz59AOjatSsODg5Mnz69zRqfAoFAIFAfXYPdANiXUQBugeAVCbIJTmy3rTBLYzJBhvLmfnVRJAC9IoQDIkHbQBs7BoDhmkR+3J5mYzU2orz43H2pMv5ncVk5i3YroTnuHRjWqsanWij17qr8c2KbWXqPSH/u7RcAwDtrUsg43UqxMVOU9Z8lvj1bp/zz+H7TYYwydPDU0Sc6sMG89w7vzOBwZ4wyzPhhD0Wl5VbRqEaafSUYjUbs7e2rP+t0OrF+UiAQCAQWpWe4NwAHcypjDIZVhWO5yOKB5h2FsgJMWgd2VYShlaCbMEAFbYWY0QAM0BxkR8rpdhnzUDqxFUwV4BGuvCgDvlh7kAK9jK+ThjsvjbOtQCtR4lM5BfVUMpSae8J97OqedPDUUVwh8/iiHZhMpjpKaAFnUqEgDVnSUuLbzbJl18Nve5QXDNd0D7hgXo1Gw5w7LsHLUSKzyMj/Fmzi78SUiycWbBNotgEqyzL33HMPN9xwAzfccANlZWVMmTKl+nPVn0AgEAgEzaVftPKjnnnWSH5x2bl4oMl/QUGGDZVZmMr4n3lucRjQEeqmwcm+VRzVCwSWx68TskcoDlIFfTjAj1sO21qR1dGk/Kv802EoSBL6CgMLtiuxP+/qF4SDXfu4no0OnsjeyjICTuw02+dgp+Ot8T3QSrA5vYTvNyZbtvJK77cE98Skc7Zs2XWw8+hJjuUrsT9vG9S4tb3+Hi68fq2ytn/t8WIeWLSfYbM3MG/l3taUqjqabYBOmDABf39/PDw88PDw4M477yQ4OLj6c9WfQCAQCATNJcTHDW8nDTKw82g2FOUoO07ugbldYdcCm+qzGJXxP5M0HQHo4GVnSzUCQdOQJKSYywEYpknkx11Z7W5kR5OqrP+smn773YZkcktMuNtL3D+ildY7qhQ5RIkHWtdSib7RgdzZW/GU/ObKY5w8U2S5iiun38rhgy1XZgN8v+UYAP3DzsX+bAzxId5mn2XgzdVp7ep6afbrmC+//NKSOsxISEjg7bff5uTJk/To0YMPPviASy65pN78+fn5PPPMMyxdupS8vDwiIiKYO3cuV155ZatpFAgEAoF1iPN1ZHN6CcmHDzFy3xvndsgmWPYoRI+0WrDxVqNy/ecWfSQA0d72DWQWCFRIx9Gw4wuGaxJ5Ia+cBxbtRwJmjQxn8mjrTIe0FX5yLtLJ/5QPUUMxGk18vklZC3trL39cHNvZ9RzaD/YurrUOtIqnru3N2sOrSSs0MOuHHXw1eZhl6q18CSBHDAaDZYqsD32Fgb+T8gG4qU/TwmUlZZ6plWYCkrPyibBijFBborrV0IsXL2bGjBm88MIL7Nq1ix49ejBmzBhycnLqzF9eXs7o0aNJSUlhyZIlJCUlMX/+fEJC2vjDiEAgEAgA6BKk+BfIP5GkGJ01kY2Qd8wGqixIRRmc3AfAyrORAMT4XGTxAQUXP1FDkTX2hGty6SBlAe1jZEfz37c8yDdUu+A8/Dc/bzvCibNGnHTw4OguDR1+USKH9FX+ObFTcbB2Ho72Ot66sRsaCdYdL2bJFgtMxS3IgDMpIGkgvH/Ly7sAy3cdp7Bcxt1e4qreTfP6HBfsxfkuWzVAbJCnpeSpHtUZoLNnz2bSpElMnDiRzp0788knn+Ds7MwXX3xRZ/4vvviCvLw8fvnlFwYPHkxkZCSXXXYZPXr0sLJygUAgELQGvSJ8ANhU4KM8XNRE0kLVeqO2ysk9YKrA6OTLoXIfNBJE+7R+8HSBwKI4uJLn0xtQvOFWUTWyc1FSkIHuz8fMjAl52aP8tF6Z0XB9Vx+8XJ1so82WBHQGOxfQFyjOiOpgQFwwt/RQ7u2v/HmEU4UlLauzav1nUA9waJ0QXTVZsvMEAJfHeTZ5fW+EvwezRoZXG2Ea4MmR4e1m9BNaMAW3NSgvL2fnzp089dRT1WkajYZRo0axefPmOo/57bffGDhwINOmTePXX3/Fz8+P22+/nSeffLLeeDR6vR69Xl/9uSpw6vnpTcFoNFJRUYFer7dpcGhbaxA6zKnqT83tV5ZCDW2hFh1q0KAmHWrooxdqix5hXgDsLfEk/8rX8Vj7FJJsQgYMY9/B5OgLFtBvq3OiTdmCDsh26QRnJELctGgx2bxvqKGPqqF/gjraQi06GtJg7DACcrcwTJPI50ZlGZQGiPBxtvg5VENbSNmHsD9vVoYkG5ELT2Cn6czk4bFW6btqaAszHRVGHIN6oknbSEXKJkwedY8QPnlVV9Yf2UBmkZFHFm7hjkvC6RjoQYRf0w1I3bF/0AKG0AGU6/Wt2h45BSVsTVcM5pv6hNV7jhs6L/cMjWV4fCBHswuIDlC+c2v0FWveQ5tShyTLstyKWppEZmYmISEhbNq0iYEDB1anz5w5k/Xr17N169Zax3Tq1ImUlBTuuOMOpk6dypEjR5g6dSoPP/wwL7zwQp31vPjii7z00ku10mfNmoWjo3jrLBAIBGpjmdyXU2Vwo3cG0SV7mYrifOgtHqRUatsjDDfIy+lGEj/ZX8djhTfTx7uC7qX/2VqWQNBkfOQ8HuIr9LKWyRUzOGQKp5ePRGBJG58mXw9u8lke5TMUN2kKRjQMLnuPSB9X4kval2fTmoyU/2UI29lFV5ZJl9ebr8jRnx/PhFd/loCxvnkEFNfdZyrsXCjTueNoKMSuorg6fZr8Jb6c4XuuJVmKttj3qItMlxhWnPIgzEVmlGnnhQ9oJ5SVlfHGG29QUFCAu3vDLxFabIAWFxfj4tJ4z08N0RwDNDY2lrKyMo4fP179dmH27Nm8/fbbZGVl1VlPXSOgYWFh5OTkXLDB6sNoNJKUlERcXJxN30raWoPQYY5er2fOnDlMnz4dBwfbrelSQ1uoRYcaNKhJhxr6aGPa4r7PN7EhrYRJl/jx+FU9sJs3EE3eUSpu/h5T9Eir6WgN7D/ui5Sfxstuz/N5biceGhTAyDCtzfuGGvqoGvonqKMt1KKjQQ2yjP178UileUpeWeJQr+foOPYh6+qwJiufx2HHJwDIkoYny+/jJ9Nwlk/tR5SVplSqpS1q6rA7thK7JXdj8u1ExaR/6j0mNbeQyz80d1YkAY8PC6ZbqDch3i4Eerqg02r4Yt0h3lp7Arkyz8zhodw7rBMUZePwQTdkJMqnJ2O0c23V9hg7Zx3H8g08PCSIaQ2s8VXDebHmPbSwsBB/f/9GGaAtnoIbEBDAzTffzL333suQIUNaVJavry9arZbs7Gyz9OzsbAIDA+s8JigoCDs7O7MTGx8fz8mTJykvL8fevrbnMQcHhzpPQn3pjcFoNGJnZ4eDg4NNfxRsrUHoqJuW9C1LoJa2UIMONWhQk44qbNlHG9MW3ULc2ZBWwoGTxYrO0H6QdxS77P+gs2U8ntvknBSfgnzFW+bKs8ooQK9IX+w0RTbvG2rqo+Ieqh4dDWooyIDScx4+tZJMp8RX0A6/1eKeqtXQFgAGV19FT9gg/lc8kT8yXRgV7UanMH+raVBLW5jpiBwEgOZUEg5yGTjWbYynnCqulSYDb6/LBJQ4qhoJ3B0k8stk8zxrT3Blr0gishUDVgrsioOHf6u2R83Yn3cMiWvwvqSW8wLWuYc2pfwWOyFauHAheXl5jBgxgtjYWN544w0yMzObVZa9vT19+vRh9erV1Wkmk4nVq1ebjYjWZPDgwRw5cgRTDS9bycnJBAUF1Wl8CgQCgaDtUeWIKCm3TEkIrfSyWBk/s81yQtFf4dWRtDJnJKB3lPUeXAUCi5J3FDCfWKfFRFpyok3kWAOp8h6U6Xcpf2S6IAEPj+5kW1FqwNUPvCIBufo+Vxd1eYQFiPTU4e2kQQJMMmbGZxXVDq6qHBBFtGwgrDE0N/anwJwWG6DXXXcdv/zyCxkZGUyZMoXvvvuOiIgIrr76apYuXYrB0LRAPDNmzGD+/Pl8/fXXHDx4kAcffJDi4mImTpwIwN13323mpOjBBx8kLy+PRx55hOTkZJYvX85rr73GtGnTWvrVBAKBQKAS+nUMAOBUqUkJXB7SR9lxYgeox5VB06l8eM1yUR5Yg920uDuLECyCNop3dC1P1QZZw+d7Wzkoo62QZTSV1/AHScqUw4HhznSPFC+RAAi9RNk2YIDW5RH2qZHhrJs1hl0vjCX5lSv457EhzL4+tpahKlEZuiSl0gCNHGxZ/efRktifAnMsFobFz8+PGTNmsGfPHmbPns2qVau46aabCA4O5vnnn6ekpHHulW+55Rbeeecdnn/+eXr27EliYiJ//fUXAQHKw0daWprZ2s6wsDBWrFjB9u3b6d69Ow8//DCPPPIIs2bNstRXEwgEAoGN8XJ1IshVmcK0/Wg2BHQFrQOU5cPpo7YV1xJSlMDpRwx+AMT4tm2HSoJ2jkcIjHuv+qOMxNOG+1h0VEfe2VIbCmslzhxHKjmFXtbxy2nFIIn2dbaxKBURVmmAJv+lTM+uh8mju7F2xhDm39aVtTOGMHl0t+p9djot4X4e3NA/xsxQBXDUgYuxAE4lKQnhg1rhS5zj6/UHKSyXcbWjybE/BeZYzADNzs7mrbfeonPnzsyaNYubbrqJ1atX8+6777J06VKuu+66Rpf10EMPkZqail6vZ+vWrfTvfy6g7Lp16/jqq6/M8g8cOJAtW7ZQVlbG0aNHefrpp20+11ogEAgElqWTv2KcJablgc4egnsqO9rqNNydX0OaEmJs2MmvuFm7li7BbjYWJRC0kN53Q6+7lf+738wWl9HojTB/zQHb6moFTh1QnOvslyMpxw6Ab3edIjWnwJay1ENRpU+XzF0wtyvsWlBv1gh/D0b3iGgwFmaVoZowPp4AZw2lBvjhx4XKTv8u4OJjSfVmzFu5l9dWKev1iyrgq3UHW62u9kCLDdClS5cybtw4wsLC+O6775g6dSoZGRksXLiQ4cOHc9ddd/Hrr7+ybt06C8gVCAQCQXulW7AyxW1f5lklIaRyHWgD07tUS0EG/P5o9UcNMq/pPqe/X4XtNAkEliJWCbshZe3h7v6K86HFiTnoKy6uqbglRzcBsMsUU51WvS6xvVOQAf++e+6zbIJljzY4EtoYIvw9uKpPB96+sSsS4JyzW9nRitNvU3MKeGN1mlnam6vTxIuGFtBiA3TixIkEBwezceNGEhMTeeihh/D09DTLExwczDPPPNPSqgQCgUDQjukVqbzdTj5V5Yioch1oWxwBzTuqPJDVQCeZ6OV+1kaCBAILEl7pODL3IHf08cXDQSKv1MQPmw/bVpeFCSjaD8DuGgaohsp1ie2dOu5xyEbIs0xM2KFdwripmzf9NcpIZKF/P4uUez7bDmcx9ZttnO9pQLxoaBktDsOSlZWFs3PD892dnJx44YUXWlqVQCAQCNoxfaMDkNjLmTKZtNxCwqtGQE/ug4oysHO0rcCm4F07ULoRDW4h8RhtIEcgsCguvuDXCXIP4ZS1gxu6+fPljly+2pzOHUPi0GgstgLMdpQXY39KMX6qRkA1wJMjwxucRtpuqHJIVdMIlbTg3cFiVbx4ZRQuh9OV/3c6MruvZco1mUys3ZdOwtoj7MoqqzOPeNHQMlpsgBoMBgoLC2ulS5KEg4NDmwqFYjQaMRqb99NfdVxzj7cEatAgdNTWoNPpWtS3LKWj5rY961CDBrXpsHUfbWxbONvrCHXXkl5oZPuRk4T064DGxQ+pOBdj5u5zHhdbWYdFcA1E4+KPVJwDKJ5Cv/J4kImugarqG7bWoYb+WaWj5rY962isBil8IJrcQ5hSNjBp+NMs3JXL0TMVrN2XxrAuYVbT0Wqc2IVWNpIle+Pl6cmzI2OJD/Mhws/D6pps3hZ16XANRLpqDtLy6UiyCRmQL38N2TUQLKTTMXMrAIdNISw9rmXotsOM69Ohye2RmltAclY+HQM82Juexyf/HCfptLIcQgIui3Ih0tuJBTtPYUIxPmeOCCPUx7XBOtRwXqx5D21K+ZIst8x/vUajQZLqiuCjEBoayj333MMLL7ygujdeCQkJJCQkYDQaSU5OZvPmzbi6utpalkAgEAjq4e1/TrI+Tc9NnZy5p68f4Rtn4p61kazu/+N07K22ltdotPozxC+7GoA3XZ7k59OhjOwazm09fW2sTCCwDB5pKwnb9iKlnnEcHfUFs/89yZpUPf2C7HhhZLCt5bWYim2f0yvtC/40XoJ8+euEe7WhGRhWRFeSQ4e1U7AvzSZtwMsUho6wWNmBiXPxPfIj/7iM4e7TE/BylPjo6mDcHBs/vrb84Bk+2VlYa4qtToJhEQ7c1NWLUE8lNFb2WT2ZhRUEu9sR4CbCZZ1PUVERAwcOpKCgAHd39wbztngE9KuvvuKZZ57hnnvu4ZJLlLfP27Zt4+uvv+bZZ58lNzeXd955BwcHB55++umWVmdRpk2bxrRp0ygsLMTDw4O4uLgLNlh9VBmxsbGxNvPAqwYNQoc5er2eOXPmMH36dBwcbHezUkNbqEWHGjSoSYca+mhT2qJ3WgXr0zJJzC7H2TcY17hhkLWRAMMJ/OPjraajxST9AYDsG8vSM73IxsTg+HDi4yNU0zfUoEMN/RPU0RZq0dFoDSHusO1FHAsOEx8VwsPOvqz5dCc7sirQuAcQF+JtHR2tgMlkYscvewEo8u5C8j8rGNZG7qHW1xGPlHcTbEkgtOQAcvw0i9Wn+fcQAH2HX0/Anxqyi0189V8hH9w1oFHtcSw7n092ptYyPq+Mc2fmlV0J8zW3CZr6C6OG82LNe2hdM2Lro8UG6Ndff827777LzTffXJ02btw4unXrxrx581i9ejXh4eG8+uqrqjNAz0er1ba4g1iijJaiBg1Cx7m6DQaDaAsV6lCDBjXoUFMfbYyGnEI9AEfOGBg5dzMf9PHjakCTuRMspN8qbXFiGwD6oEvIPqGskerbMcCsXjWcE1vrUFP/rNIjdDRSg1c4eEUinUlBm7mDnjGj6R3kyK6sMuavT2bOXZbxWmqLtvhj13EGVCSBBP2HjuXA71vaxjmxlY64sbAlAc2RlSBJYIkZkaVnIHsfAM5xw3ndQc993+5jxeGzrPgvjSinhtvjj13HeGl5Ui3jE+D63uFEBni1XGMl7eUe2pTyW9wDNm3aRK9evWql9+rVi82blfhmQ4YMIS0trVYegUAgEAgaS2pOAd8lnq7+LANP73RFRoL8NCjKtZ24ppKurF06YhcHgK+TBn8PF1sqEggsT0SlkZm6EYD7L40C4I9D+eSdLbWVqhZhNJr4buVm/KRCDOgI6DTA1pLUT/gAcPCAklNKTFBLkLYFkMGnI7gFMqJbBNd29gTgxT8OU6SvO+TPtsNZXDd3FVN/OEh2sanWfuFcyDq02AANCwvj888/r5X++eefExamLDI/ffo0Xl6We5MgEAgEgvZHUuaZWm+rC3Gm2K3Sq2JbCcdSUQaZSuy6zWXKA3msn1g/JrgIiRikbFOVeJlX9Iwk3F2H3gjz1xywobDms2hTMn5FivdbOaAb6MS1e0G0dtCxcu1n8l+WKTNlg7KNODeS/vL4vgS4aDhdamL+9lNm2Y9kneHeT9dz8+e7SDypRyvB9V08eWhIULUxJLwYW48WT8F95513GD9+PH/++Sf9+ikxeHbs2MGhQ4dYsmQJANu3b+eWW25paVUCgUAgaMfEBXshgZkRqgEI6QOHjsKJHcpUL7WTuRuM5eDix8Y8N6CYzoHCAZ7gIqTKOMjYBeUlaOydufOSYF5blcbixBwevdKAg12LH0WtRoXByIfrU5isUeKZ2kUOQG9jTW2GmDGw/2dIXgEjnm15eZWj6kQOqU5yc3LglWs6M+n7faxO0fPO77sZ3TWU77Yc45f9ZzBUDnheFunCM9d0JzZYWYc8/hLFC25skKcwPq1Ei0dAr7nmGpKSkrjyyivJy8sjLy+PsWPHcujQIa6+WvHw9+CDDzJ79uwWixUIBAJB+yXC34NZI8Op6Xd96uAgXDtWBr0/sd0muppM+hZlGz6AgznKNMRQ74bjaQsEbRKvSHALBlNF9QyFuy7thLu9RF6piR83H7atvibyxdoDZBUZ6as9oiSE9bOtoLZEzGhAgpN7oDCzZWWVFULWf8r/EeZriUf3iKCrvxIC8uPN2dwwfydL9irGZ/cABxZN7MXXU4ZVG5+g/LaM7hEhjE8r0qLXThUVFVxxxRV88sknvP7665bSJBAIBAJBnUwe3Y0reoRz26ebyCwyodNqIKQy+njmbjCZLOPgojVJUwzQf4rDyC5RXsm/9FcK+goTk0d3s6UygcCySJIyDXffEmUabtRQnBzsuLG7L1/uyGX+xlT83BzpFOKt+of/Un0F8zadwIFy4jWpylSMFsYeble4+EJoX+VF4eG/oc89zS8rfSvIJuUFh0eI2a7UnAL255TXOuTFKyK5e2i86kJCtldadBbs7OzYs2ePpbQIBAKBQHBBIvw9GN8rEIA/9ueAf2ewcwZ9IZxKtrG6C2AyVTsgmnM4sDpZBt5cnUZqToGNhAkErUT1OtCN1UkPjOiMVoLUAiOTFx9g2OwNzFu510YCG8eHf+8lr9TEEMfjaGUjuAaCR6itZbUtYsco2+QVLSsn5V9lGzGk1q66fAUAhHi5CuNTRbT4TNx55511OiESCAQCgaC1uHlARyQg+XQFSScLILjSG7vaHRGdPgylZzBqHdknR5rtMgHJWfm2UCUQtB5VUyTTt4NBGZkqNxgx1rAS1P4C5kxRGV9vOwnAA5E5SmJYP2WEV9B4YioN0GPrFGdszSWl9vrPKqp8BdREeLZVHy1e+W0wGPjiiy9YtWoVffr0wcXF3I18W1r7aTQaMRqNzT625tYWqEGD0FFbg06na1HfspSOmtv2rEMNGtSmw9Z9tDltEejpTI9ABxJP6lm85SjPBvdGk7oRU/p25O63WU1HU5FSNqIByv17UHHc/CdYA0QHuKmqb9hahxr6Z5WOmtv2rKPJGrw7onH2QSo5jTFjJ4RewsGM07WymYBDGacJ9WmcQy5rtsWcP/6jqEImxE1LX3slrKAppC9yZb+0dR9VQ79olA6/zmjcgpDOZmE8th46jmp6JacOo8nYhQQYwwbCeXWF+rgyc3gob689gQnlvjpzRBihPq5Wbx81nBdr9s+mlC/JslzXSHWjGT58eP2FSxJr1qxpSfGtSkJCAgkJCRiNRpKTk9m8eTOursIToUAgELQF/jx0hoQdhQS7aviuz2Eitz5HqWcMR0d9ZWtp9RKy/RW8Uv/kSOTtjDp0dXW6Bpjcx52r4kXIMsHFR9imp/DI/IeTXR/kVKc7yT6r5/5fT9byaD3/2kAC3BxsJbNOzpRUMOnXTMqM8PgADyYfuhu7stMcG/YxJb7dbS2vzRG88y28j//K6egbyeo1o0nHeh1fRvDON5GQkYHMPrM4EzWuzrzZZ/VkFlYQ7G6nuj51sVJUVMTAgQMpKCjA3d29wbwtHgFdu3ZtS4uwGdOmTWPatGkUFhbi4eFBXFzcBRusPqqM2NjYWLRarYWVth0NQoc5er2eOXPmMH36dBwcbHcDVENbqEWHGjSoSYca+mhz2yIwrIxPd60js8jEmaDBRAKOBUeJjw4He5cLHW4xHU1BsyYJgJ2argB09bfnf8OjiQnyJMLPw2o6GoMadKihf4I62kItOpqjQSocA5n/EFB2BL/4eOKBJ8/u58016dVG6D19/Rh2Sc9W1dFUUnMLeO2nRMqMEO2lY/LgIOwSTyNrdEQMuAbsnFTRR9XQLxqtQ3sLHP8V79Pb8ezUqfHTmAsz0Pz0FlJlj5GA4F1vEzjkDnA3d0RkNBohOZlL+3RTf3u0Mtbsn4WFhY3Oa7HgS0eOHOHo0aMMHToUJycnZFlGamNz47VabYs7iCXKaClq0CB0nKvbYDCItlChDjVoUIMONfXRpmrw9XDhklBnNqaV8P2BcnpVTu3SZu+FyMEXLsBCOhpNUQ7kHQMkfshWHpiu6OzPmF4drKujiYh7qLkeoaMZGirX6knpW9FKgEbLlMu7M7ZnBA98vZWk0xWknilt1ndqrbaYt3Ivb6xOqzaQe4a4YXdyNwBSYHe0jq7V9aulj6pBwwV1RA8DrQNSfhravCPg36lxheanKJ5vayDJRrT5qeAV3nQdVqS93EObUn6LnRCdPn2akSNHEhsby5VXXklWVhYA9913H4899lhLixcIBAKBoF6u66UYcqsO5yMH91ES1eqIqDL8SoVPHLtO2wFwVa8IWyoSCKxDYDewd1M8VZ885+02wt+Dl65RZgOsOVrEoTrWhtqC1JwCM+MT4Od9ZyhM3qB8CBPhV5qNvQtEDVX+P9wEb7je0XC+eyFJC951v8ATqJsWG6DTp0/Hzs6OtLQ0nJ3PBdK+5ZZb+Ouvv1pavEAgEAgE9XJ17yicdZBXauKIrqOSeEKlBmhl+JUjdnHIQJSnjqgAT5tKEgisgkYL4QOU/1M3me0aEBdM32BHZGD2X/utr60O6grlYQLkE9uVD6H9rC3p4qI54ViMepBqmC2SFsbNrRUHVNA2aLEB+vfff/Pmm28SGmoeCykmJobU1NSWFi8QCAQCQb04OdhxaZQbAL+fClASM3baUFEDVI6ArimOAmBotHA4JGhH1BEPtIpHRscBsOrIWQ5n5llTVZ3EBde+Np0ox73gkPJBGKAtI+ZyZZu2BUrPNO6Ylc+DbFT60YRl8Ohe6H1362kUtCotNkCLi4vNRj6ryMvLs6nDAIFAIBC0D67vHQbAd5mByJIGCjOgMNPGqs6jvASyEgH4KS8SgCt7iCD2gnZEVTzQ1E1wXgCGS+ND6RXoiEmGOSvUMQqqOe//N/oVI5kM4BoAnnWvORQ0Eq8I8ItXDMojqy+cP2UjHFymjIBe+a4yhVeMfLZpWmyAXnrppSxYsKD6syRJmEwm3nrrrQZDtAgEAoFAYAlGdY/A00Eit8KBAtdoJVFt03Azd4HJQJmDL8eMfng7SvTrGGhrVQKB9QjuBTpHKM2D3KRaux8ZHQvAiuRCjp3Mt7I4c+b8tQ8TEOttx/zburJ2xhCuDawcmQ3t13jPrYL6qZqGe/jvhvOZTLDiaeX/3hMgoHPr6hJYhRYboG+99RaffvopY8eOpby8nJkzZ9K1a1f++ecf3nzzTUtoFAgEAoGgXnRaDSNjPAHYbVCmt6rOEVHl9NsD2k6AxOBIdzSaFv8ECwRtB539uamrdUzDHdYljO4BDhhlmLNin5XFnSP9VCHLD+UDMGN0DKN7RBDh7wEntikZxPRby1BtgK4Ek7H+fHsWKbNHHNxh+DNWkSZofVr869e1a1eSk5MZMmQI1157LcXFxdxwww3s3r2b6OhoS2gUCAQCgaBBxveLBGDl2UqvsidUtg600gBdVaJ4bLy8a5At1QgEtqHmNNw6eHhkDAB/JhWQlltgLVVmvLdiHxUm6ORjx+U9Ku8nsgzplQ6IhAdcyxB6CTh6KiPi9c1YKS+G1f+n/H/pY+DqZzV5gtbFInFAPTw8eOaZtv9Wwmg0KsFrm3lsza0tUIMGoaO2Bp1O16K+ZSkdNbftWYcaNKhNh637qCXaok8HP4JcNOwo6Qg6kDN3Y6ooV7xvWlFHncgmNCe2IQH/6mNx1MLwLqH11qOmvmFrHWron1U6am7bs44WaQgfiBaQUzdiMhhqTWUd3iWUzn7JHMgtZ/af+3j3jgGto6MesvOL+e2A4hRn6rAOyLKslJ+fjrboJLJGhymgO9SoUw19VA39ouk6JKTokWj2/4Qp6U/kkL61c2yYi+ZsFrJnOKZ+k8za3XI6Wg816LBm/2xK+ZIsy+d7mm4y+fn5bNu2jZycHEwm8yCxd9+tXg9VCQkJJCQkYDQaSU5OZvPmzbi6utpalkAgEAiawVc7cll6qIj9jvfjRBmHR32N3rOjrWXhUHCMmJV3oZcc6Vw6nz5Bjjw/MtjWsgQCqyMZyoj/dQwa2UDSFT9Q4VrbkczOE0W8sO40dhqYf20wvi52VtM3f1sOvyaXEuWh5b2rgqunybunryJ86wuUeHXi2MjPrabnYscj7W/Ctr1EqUdHjo7+2myfriSH2BW3ojHqSRvwMoWhI2ykUtBYioqKGDhwIAUFBbi7uzeYt8UjoMuWLeOOO+6gqKgId3d3pBpvsyRJUrUBOm3aNKZNm0ZhYSEeHh7ExcXV22Amk4mKigrqs9eNRiMpKSlERkai1Tb+jbslUYMGocOc8vJyvv76ayZMmIC9vb1NNIA62kItOlpLg52dXZPKq3rxFRsba9NzotfrmTNnDtOnT7eZ53JLtcU9bv4sObSd3aZoBmn2E+2Qhxwfb3Ud5yPtVOJ/7qMjRrSM6RpEfAO61NI31KBDDf0T1NEWatHRUg3Sjt5wYhsx9jnI8aNq7Y+LM/Hd3rUkna5g2eFS3rqte6voOJ+cghJWHFXCB04bFkWXLudeXklpirNNx46X1rp21dBH1dAvmqUjMhB5+8s4FRwhPtgNPM55Bpd+/QCNUY8c1p+QUVMJaYLjpzbbHq2ANftnYWFho/O22AB97LHHuPfee3nttdfqDMfSltBqtXV2kPLyco4fP15rdLcmsiwjyzInTpwwM8KtiRo0CB21NfTv35+srKx23xZq0dGaGjw9PQkMDGxSufXdd6yFVqvFYDDYXEeVlpZo6BrhT7SXHbvPKgaoJnMn9LvX6jpqcUIxQDdUxCABV/fp0Kjy1XBObK1DTf2zSo/Q0UINkYPhxDY0aVug9111lvu/ER156MeDLDtwhscLSgnyrn92mqXa4qNVBygzQqSHjhv6x5g7Cat0aqYJ6w/n1aWmPqoGDU3S4eoLYf0hbTPao6ug331KesYuxfkQIF3xOlpd88yVNtcerVS3tfpnU8pvsQGakZHBww8/3OaNz/qQZZmsrCy0Wi1hYWH1ei2UZRm9Xo+Dg4NNH6xtrUHoMMdkMnHq1Cl8fX1t6vFSDW2hFh2toUGWZUpKSsjJyQEgKEg4mLEVV3bxI3FT5ciFWhwRVTog2mmKJd7PngBPFxsLEghsSMRg2DCnTk+4VVzZK5KY1Uc4nFfBeyv28cZt9a8FtQR5Z0v5ac8pAB4cGmn+e11RBll7lP/DhAdcixNzOaRthuQVigEqy+fCrnS/BUL62FafoFVosQE6ZswYduzYQYcOHSyhR3UYDAZKSkoIDg5u0Miumprr6Oho0wdrW2sQOswxmUzodDocHR1tboCCOCetqcHJyQmAnJwc/P39VfHWtT0yvn80N25QDFA59xBSWSE4NrwWpVUpzIL8VIxo2GWK4e4YH9tpEQjUQNglIGngzHEozAT32uuhNRoN04Z14NGlSfy87zTT84tb9cXNh3/vo8QAYe5abhoQY74z6z8wVYCLP3hGtJqGdkvsGFj9EhxfD+UlcGSlYpDqnGDk87ZWJ2glWmyAXnXVVTzxxBMcOHCAbt26YWdnvlj8mmuuaWkVNqXKo5Mt1+8JBIK2QdVLqoqKCmGA2ohwP3eCAgI4ke9LqHQKMndDh8tsJyhdGf1MMoVRhDNX9wq3nRaBQA04ekBgN8WwS90E3W6qM9s1fTvw/pqjHMs38P6Kfbx6S/9WkZNfXMYPibkATB4SgVZ73svimvE/bfgC96LFvzN4hEFBOhxZBSsrjc5B/zNbEyq4uGixATpp0iQA/u///q/WPkmSbO4C2VLYctRIIBC0DcR9Qh1c3S2AxPXRhGpPKWu3bGmApinrP3eYYgl21dI5zNd2WgQCtRAxuNIA3VivAarRaJg6LIrHfznMkj2n6BV+mH7R/kT4e1hUyscr91NUIRPsquXWwXG1M6RXGqBi+m3rIEnKNNwdn8Ov00BfCK6BMPgRWysTtCItnhNoMpnq/Wuu8ZmQkEBkZCSOjo7079+fbdu2Neq4RYsWIUkS1113XbPqFQgEAkHb56b+HdkrK9Nw85PqX2dmFSpHQHeY4hjSwbIPzgJBmyVikLJN3dRgthsu6Yi3o4TeCI//msyw2RuYt3KvxWScLdXz3a5sAO4fFIbu/NFPWYYT25X/Qy+xWL2C89BWzp7UV3pR7TgSHERYxIsZ2y1Kq4fFixczY8YMXnjhBXbt2kWPHj0YM2ZMtXOP+khJSeHxxx/n0ksvtZJSgZoZNmwYjz76aJOOefHFF+nZs2er6GksQ4cO5bvvvrOphouFdevWIUkS+fn5APz111/07NmzQW/WgosDbzcnyny7AqDL2MKJowdtI0RfhFzpvGSHKZax3WvHPBQI2iXhA5Vt7iEoPlVvtvRTZzlTdi78nQy8uTqN1JwCi8j4ZNV+zpbLBLhouGtop9oZMnbC2SxAA8G9LFKn4DwKMmDbp+Zp/y1S0gUXLc02QK+88koKCs7dAN54443qBz2A06dP07lz5yaXO3v2bCZNmsTEiRPp3Lkzn3zyCc7OznzxxRf1HmM0Grnjjjt46aWXLlpnSE3lnnvuQZIkpkyZUmvftGnTkCSJe+65x/rCLjIkSeKXX36xSFm//fYb2dnZ3HrrrRYpry1yvtFoSa644grs7Oz49ttvLV62QH10ktKQZXCViwlaMJB1C1+3voiMnUiykUzZm0I7Py6NF+uZBAIAXHzBr9Lg2/55vcZGUuYZzo++bgKSs/JbLKG4rJxvd5wE4N4Bodjpzlu3v2sBfFYVp9QE+5a0uE5BHeQdBfm8F8OyEfKO2UaPwCo0ew3oihUr0Ov11Z9fe+01br75Zjw9PQHFe2xSUlKTyiwvL2fnzp089dRT1WkajYZRo0axefPmeo/7v//7P/z9/bnvvvv4999/L1iPXq83014VOPX89CpNsixXTyuuj6rYgiaTqd51YHq9ntLSUpycnFolGGxNDbIsExYWxqJFi3j33XerPXSWlZXx3XffER4eXp23NXW0ZE1ceXl5i50/NUVHlXfUprZJQ32jqszGtPX7779f/VLA0ufFUucElBc+kiTV8urbmPN1IR1V3/tC11tjqKusCRMm8MEHH3DTTTdZpC3qqlOWZcrLyy9YttFopKKiAr1eb1OHRVX3vPPvfdbE0m2RkZLEzXmfVPsL0UoyQw6/xbGkqwiJrGONVyvp0B7fiA5l+m3/MGeMhgqMhgsfp5a+oQYdauifoI62UIsOS2mwc/JWRkHWvYa8/g0MY9/F1OMOszyRvi5IYGaESkCEjzN6vb5FOuat2k++XsbXScOtAzuY97HCTOyXPYJUo2Z52aOUh11ay2uvGvqoGvpFs3W4hmEvaZBqGKGypKXcNRSa2aZtuj0sjDX7Z1PqaLYBWvVgXd/n5nDq1CmMRiMBAQFm6QEBARw6dKjOYzZs2MDnn39OYmJio+t5/fXXeemll2qlz549G0dHR7M0FxcXBg8ezKlTp9DpdNUP0E2lsLCQ3Nzc6s9+fn64uzctNIAkSY1+YC4tLaVz586kpqby5ZdfcsMNNwDw888/ExQURHh4OKWlpZw8qbz9M5lMJCQk8O2335Kbm0tUVBSPPvooV199NaBcRDNnzmTjxo3k5uYSHBzMhAkTuP/++6vr3LRpE6+++ipJSUnY2dkRGxtLQkICoaGhPProoxQWFpqNZD///PMcOHCAJUuUt4o33XQTcXFxaLVali5dSqdOnViyZAmHDh3ilVdeYevWrTg7OzN06FBeeuklvL29ASgpKWHWrFn8+eefuLq6MnnyZMrLyykuLm5wJO3DDz9k/vz5lJaWMm7cOHx8fKioqKhuk8TERN544w327duHwWCgS5cuvPjii3Tr1g2A/v0Vj3w33ngjAKGhoWzdupWUlBReeukldu3aRUlJCTExMcyaNYuhQ4fWq+X06dOsWbOGZ555prr+9PR0BgwYwIoVK+jaVZlOWFBQQOfOnfnxxx8ZNGgQmzZtYvz48SxatIjXXnuN5ORkunTpwuzZs+nYsWN1+X///Tdz587l0KFDODs7079/fz7//HMA8vPzef7551m1ahV6vZ6BAwfyf//3f9WzCRYvXsyLL77Ie++9x2uvvcaxY8fYuHEjN910E7feeivHjx9nxYoVjB07lrlz57Jt2zZef/119uzZg5eXF2PHjuWpp56q9hCr1+t55513+Pnnnzl9+jTBwcE89NBDDBkyhJEjRwLg46OEqhg/fjxz5869YP8EWL16NS+88AJZWVn06tWL8ePHA5CdnU1ZWVn1Ofvf//5HYmIikZGR9Z6P5mIwGCgoKOCPP/6guLjY4uW3JnPmzLG1BIvhb1/Mg5L5fVonmVix9Ftyyq0Xs/oO+Sc6oky/dS04zhtvrLda3RcbF1P/FICbfJbpnFv/KckmtH/M4IM/DnBWcjPLO9a3A3+d8qbmK8nPvl2CS1nDS7Maokznym9lyghsX5c85r77jtn+SDmNCZi/BJVkI98nvEqqFFZnmaKPNp9e8kiuZhUaZExI/C6PYPdHC2wt66LCGv2z6lmrMbTYC64tOXv2LHfddRfz58/H17fxngWfeuopZsyYUf25sLCQsLAwZsyYUcso1Ov1nDhxAl9fXxwdHTEajWza1PCi+caQm5trZpA2hkGDBjX4BkWWZfR6PQ4ODjg5OaHX65k0aRK//PILU6dOBRQDdNKkSaxbtw4nJycCAwMBZQT7l19+Yd68ecTExPDPP/8wdepUYmJiuOyyy6ioqCAmJobp06fj4+PDpk2bmDJlCrGxsdx8880YDAbuv/9+7r//fhYvXkxRURH//fcf/v7+BAYGVuupqg8U497e3r46zd7eniVLljBlyhQ2blQchzg6OnLrrbdy33338eGHH1JaWsqsWbN4+OGHWbVqFaBMKd6+fTu//PIL/v7+PPPMM+zbt49+/frh6emJg4NDLcP9hx9+YPbs2XzwwQcMGTKEhQsX8sEHH9ChQwczPffffz99+/ZFlmVmz57NhAkTSEpKws3NjR07dhAYGMjnn3/OFVdcgVarxc/Pj+zsbK677jrefvtt7O3t+eSTT5g4cSIHDx4kPLzuEAybN2/G2dmZSy+9tHpksepC9vX1rdZU9YLE29ubwMDAaiN8zpw5zJ07Fz8/P6ZOncpTTz1VPRtg+fLl3H///cycOZOFCxdSUVHBn3/+WV3mlClTOHLkCL/++ivu7u7MmjWLiRMnsm/fPuzs7PDw8KC0tJT58+fzxRdf4OPjQ1hYGFqtlk8//ZTnnnuO119XpjcWFxdz55138vLLL7NgwQJyc3N5+OGHeeWVV/jiiy+QZZlbbrmFbdu28cEHH9CjRw+OHz/OqVOn6N27Nz/++CPjx4/n4MGDuLu74+TkhIeHxwX7Z3p6OpMmTWLq1KlMmjSJHTt28MQTTwDKC6yqmRmBgYEEBASwd+9e+vfvb/ER0LKyMoqKinjggQcuOMvBaDSSlJRU/dLFVuj1eubMmcP06dNbZWZGY7B0W2SkJGH87lO0NYxQg6xhzA13XHAE1GI6TEZ0784DAyQSx+eTbsTdqXHtq5a+oQYdauifoI62UIsOS2iQUjcgfTffLE2DzEO3X4kcMbhW/kdzCzmaXcBXm1LZmlHGOn0kv067lZPpKU3W8cW6Q7y19kT12GaXLp15YMR5nngLM5E/WlprVO62qc/UOQJq6z6qhn7RUh0VhZlIZ44je0Uxxj2YMTbSYUnUoMOa/bOwsJA33nijUXmbbYDWNRrX0oc5X19ftFot2dnZZunZ2dlmhksVR48eJSUlhXHjxlWnVU210+l0JCUlER0dXes4BweHOk9CXemyLFdPN9RoNBYZ6W0uVRrqo6bWqvNz11138fTTT5Oeng7Axo0bWbRoEevXr6/Oq9fref3111m1ahUDByqOATp27MimTZuYP38+w4cPx8HBwSzUTnR0NFu3bmXJkiXceuutFBUVUVBQwLhx44iJiaGsrIxevXpV94kqPTX1V+2rmRYTE8Pbb79d/fmVV16hV69e1QYOwJdffklYWBhHjhwhODiYL774goULFzJ69GgAFixYQGhoaHUdVe1Rk/fff5/77ruvOozQq6++yurVqykrK6vWM2rUKLNj5s+fj6enJ//++y9XX3119Ui9t7c3wcHnfpB69epFr16KswKTycTMmTNZtWoVv//+Ow899FCd5y49PZ2AgAB0unOXZJWOmuf9/LSqz6+++irDhw8HYNasWVx11VWUl5fj6OjI66+/zq233spzzz2Ho6MjkiRV6/t/9u48PKbrDeD4d7InsolEFkKCJA1FgiK2WKK2KqotaotdS22laK2ttbX70c2uVaVaVftOKUEJSiqhgiJ2iZB15v7+SHObySSRkGXwfp4nj8y955773nNPxpw5554TFRXFr7/+ysGDB6lTJ21WwlWrVuHp6cmGDRt46623MDExISUlhYULF1K1alW9uBs3bszw4cPV171796Zz584MHToUAD8/P+bNm0dwcDBffvklly5dYt26dWzfvl29Xxl7atO/SHJzc1Mbjbmpn1999RXly5dn1qxZAPj7+3PmzBmmT59u8Hfj4eHBlStXsqwXTys9TwsLi1w1QM3NzbG0tDSKNUOze18sDPldFuX8qrDXZyT1oz7DVJP2f8Iyk7b09Hk5x/fQfI0j5jSkPiRescKypA8ujrkf8WIsdcNY4oCirZ9gPGVhDHHkSwyuL4HGRP/ZP40pFq5+kMV99i3tgm9pF2r7leLVWXu5+UjHRz+d5IM6znmK49LNWL3GJ8Dsfdd4vXo5/eVdXLwhaCD8Pk+NTdN6DpYu3tnm/Ty9hxZJHC7eaT9FHUc+MpY4oHDqZ17yf6ohuKGhoerJEhMT6d+/P8WKFQOebKyxhYUF1atXZ9euXepSKjqdjl27dmX5wf2ll17i9Gn96bjHjBnDgwcPmDt3Lp6eWQ+TeBomJibUq1fPYLuiKCQmJqof8DNKSkri6NGjBse88sorebpZOX1wyo6LiwutWrVi2bJlKIpCq1atDHqLz58/z6NHj9QGQbrk5GS1oQJpy+MsWbKEy5cvk5CQQHJysjprrJOTE6GhoTRr1oymTZsSHBzMO++8o9cwy43q1avrvT558iR79uzB1tZwOu4LFy6ocaQPh02Pxc8v+14OgIiICIMJmoKCgtizZ4/6+saNG4wZM4a9e/dy8+ZNtFotjx494vLlyznmHR8fz4QJE9i0aRPXr18nJSWFxMTEHI9LSEgwGP6dF1WqVFF/d3d3B+DmzZuUKVOG8PBwvaHSGUVERGBmZqZXfiVKlMDPz4+IiP9mDrWwsNA7R7oaNWrovT558iSnTp3Sm+gn/ZnPixcvcurUKUxNTQkOzv26jLmpnxEREXrXAKiN1cysra1JSEjI9fnFs6lhl9H883c7LNf3xiXuNPeTTdl0/CKtaxh+KVkgLqctv3Jc50PDlwy/QBXiheZQClrPhQ2DSHvCUwOt56Rtz0FxW2tmtH+ZHt+eYs/fD6nibIa/f+5Pu+K3yGwnNTJYX9Ty3y+NvBpAuy8fG5sQIveeuAHavXt3vdddunQxSNOtW7c85zts2DC6d+9OjRo1qFmzJnPmzOHhw4f06NFDzbNUqVJMnToVKysr9dm4dOm9Jpm35xeNRpPltxiKomBqaoqpqalBA9TGxgZfX18iIyPVbb6+vuozcQWtZ8+eagN+wYIFBvvj4+OBtKGapUrpv8GmN5BXr17N8OHDmTlzJkFBQdjZ2fH5558TFhampl26dCmDBg1iy5Yt/Pjjj0ycOJEdO3ZQu3btLHuPU1JSDGJJ/wIjY2ytW7dm+vTpBmnd3d05f/58borgiXTv3p07d+4wd+5cypYti6WlJUFBQSQnJ+d43PDhw9mxYwczZsygXLlyxMfHM2DAgByPc3Z25t69e3rb0r9wyFhuWZUZgLm5ufp7ev1LHw2QPgHV07C2ts6ytzCr+9WvXz8GDRpkkLZMmTJERUXl+dy5qZ95cffu3TwN2RfPrtLlXoIGvWDjEBqZhvPhrvO0qub9RF/m5dWj879hA/yh8+WNwLIFfj4hnjnVukGxkvB9BzC3gSq5mwE+uJIn3apfZ9mxW3x1PJYWNe/xUunHv6d/teM0i48aPjdqAvi6OxoecPnfyS8rvi6NTyHy2RM3QJcuXZqfcag6dOjArVu3GDduHDExMQQEBLB161Z1uOPly5cL5cNDfnN3d8fJyalAZ8HNTvPmzdVZOZs1MxxVX7FiRSwtLbl8+XK2PVPpQzTTnyWFtB7IzAIDAwkICGDo0KE0btyYVatWUbt2bVxcXPjzzz/10oaHh+s1nLJSrVo11q1bh5eXl97w1HTly5fH3NycsLAw9fnKe/fuERkZmeOkP/7+/oSFhel9SXL48GGDa164cCEtW7YE0obJ3r6tv16Zubk5Wq3W4LjQ0FDatWuHTqdTh4rnJDAwkJiYGO7du0fx4sWBtN5rQJ1UB8jTZFvpqlSpwu7du+nUqZPBPn9/f1JTUwkLC1OH4N65c4dz58490TJK1apV4+zZs3rDajOqXLkyOp2Offv2GfRoAuosuhnLNDf109/fnw0bNuhty3w/IW2kxoULFwyGEovnmE9aPQvUnOfuvbusPRxFhzo5j5DID7rotOfYH9qUMuxZEUKk8XkVirnAw1tw+Xco1zBXh33ctjqHo3fz1+1kBn9/nI1Dmxguo/IvnU7HtF+O83VY2uNd/s4WnLudjI60xufIJmUM/0Z1WrhyJO33MrWf7NqEENkyypbcwIEDuXTpEklJSYSFhekNrdu7dy/Lli3L9thly5bl27qM+c3S0lKdFKcwmZqaEhERwdmzZ7PsvbWzs2P48OEMHTqU5cuXc+HCBY4fP878+fNZvnw5kPZs5rFjx9i2bRuRkZGMHTtWb1jxxYsXGT16NIcOHeLSpUvs3LmTqKgo/P8dG9O4cWOOHTvGihUriIqKYvz48QYN0qwMGDCAu3fv0qlTJ44ePcqFCxfYtm0bPXr0QKvVYmtrS69evRgxYgS7d+/mzz//JDQ09LFfUgwePJglS5awdOlSIiMjGT9+PGfOnNFL4+Pjw8qVK4mIiCAsLIzOnTsb9CZ6eXmxa9cutfGYftxPP/1EeHg4J0+eZMCAAY9dUiQwMBBnZ2d18iVI63WsXbs206ZNIyIign379jFmzJjHlllm48eP5/vvv+fTTz8lIiKC06dPqz3KPj4+tGnThj59+nDgwAFOnjxJly5dKFWqFG3atMnzuUaOHMnvv//OwIEDCQ8PJyoqil9++UXtgffy8qJz58706tWL9evXc/HiRfbu3cuaNWsAKFu2LBqNho0bN3Lr1i3i4+NzVT/79+9PVFQUI0aM4Ny5c6xatSrL94nDhw9jaWlpMFxXPMccSkPJSphoFOqbnGbenoukavN/+Sk9B+dhm5z2ZdVHKfPT1hMUQhgyMUlrhAJEbsv1YeZmpszrFIi1GZy7k8Kkn//IMp1Wq2P4d4fVxmengBJsGtaEPcPq8U2nl9kzrB79mlY2PPDGn5D8IG0Ybsm8fxkrhMiZUTZARf6zt7fPcdmXTz/9VJ3N1N/fn+bNm7Np0ya8vdMeCO/Xrx9vvPEGHTp0oFatWty5c0evN9TGxoa//vqL9u3b4+fnx8CBA3nvvffo168fAM2aNWPs2LF8+OGHvPLKKzx48CBXQ7Q9PDw4ePAgWq2WV199lcqVKzNkyBAcHR3VRubnn39O/fr1ad26NSEhIdSrV8/gWdLMOnTooMZTvXp1Ll26xLvvvquXZvHixdy7d49q1arRtWtXBg0aRMmSJfXSzJw5kx07duDp6an2Us6aNYvixYtTp04d2rRpQ8OGDalWrVqO8ZiamtKjRw+9ZycBlixZQmpqKtWrV2fIkCFMmjTpsWWWWcOGDVmzZg2bNm0iMDCQxo0bc+TIEXX/0qVLqV69Oq+99hpBQUEoisLmzZsf2zudlSpVqrBv3z4iIyOpX78+gYGBjBs3Tu9Z4Hnz5tG+fXvee+89XnrpJfr06aMuWVKqVCkmTpzIqFGjcHV1VRuuj6ufZcqUYd26daxfv56qVavy5ZdfMmXKFIP4vv/+e955551CG/4ujIRv2gfcV83CufpAy8r9WS/rlS9ir6LsGKe+NEFBt2EwxF4tuHMK8Szz/XdkVh4aoADl3YrTr3paz+WKP26x50/9eRYSk1Ppteg3fjqT9uXwoHoeTO2Y9khQ2ZIONK1aNvvRCf8+w41nTTAp+knihHjeaJSinNbVSMTFxeHg4EBsbKxBIy0xMZGLFy/i7e2d4yQxOU1CVFiMIQaJQ59OpyMmJgY3N7fH9srGxMRQqVIljh8/Ttmy+fvMmDGURVHHcfv2bfz8/Dh69Cju7u4FEkNu3y8gbZhxREQE/v7+Rb4My7Rp0xg1alSRzuBYoGVx6XdY2oJHpna8/PALXIqZsW9kU6ws9If150cc+zetosHRdw22x7T5AbfA5rnKw1jqhjHEYQz1E4yjLIwljnyPITEOPisHuhQY+Ac4Z/0IR3ZxzD50h10X4nG2NmH7sIY42VkT9yiJ7t8c4MT1REw1MK6ZN90b5qEnc20onPkZGo+BBiNyTGoMddQY6oXEYZxxFGb9zKk9lZn0gAphJNLXFH3cLLviyURHR7Nw4UK111S8QErXBCsHbLQPqGt5gRsPdSzeczZfT7HvzBXazdnFmN8SyPy1bqpiQmRS8Xw9nxDPDSt7KJs2BwFReesFBfisQw1ci5lwO0FH/2W/8+OhSF6fu4cT1xOxMIU57V/KW+NTUf7rAS2T9WzqQoin88STED2PtFqtwYQyWq0WRVHUn+yk7yvKDmVjiEHiMIxBo9E8tv6kS3/uMr9jNoayKOo4qlevTvXq1Qs0hvT7nNV7SWbp+x+XrqBptVrMzMxyFXNBxpDx3/ynQVOuMSZnf2aAx3l+u+jDokP/0LWeD8WsLJ4qjr1nrjBv13lO3khbeuxVkytoNGmfYTWatMbnmNRe9PXyyXW+xlQ3ijoOY6if6XFk/PdFjqMgYtBUaIrJxX0okdvQ1ez/+AMynN/OypwZ7V+m24pTHLmayJGrabOtW5rCos5VqOPnkbdY713C9MF1FBNzdG5VIRfv5UVdR42hXkgcxhlHYdbPvOT/Qg/BXbBgAQsWLECr1RIZGcmhQ4cM1pvU6XQoiqIuwyGEENlJSkri0qVLaDSaZ3K27ueZ46UtlD46iUcOPtSP+4Q7CQrdKtvydtUSecrnxoMkrsamEJuoZev5eM7cTgXAVAPBZSyZZPIlHtd3sDq1Iet19bisc6VNdW9a+UsPqBDZsXhwBd9tHVE0pkS8vgWdebHHH5TBjQdJ9PolRm+bBljUxg1Xu7x9dnO8tJXSRz/lkVMl/m78dZ6OFeJFFh8fT1BQUK6G4L7QPaADBgxgwIAB6phlPz+/LJ8BvXTpEpaWlo99BjQpKQlLS8sifQa0qGOQOPTpdDpu3rxJyZIli7RBYgxlYSxxFHQM5ubmlC1bNlfPgEZGRuLr61vkz4DOnj2boUOHFunzSwVeFmWc4egkbGKjGFzDinEHEvj53EMGt66BYzGrXMXxza4zTN8do7eQvakGmvnYM6SZP+VdimEyqycADdq/S3F88XF3pKxL3pZhMZa6YQxxGEP9BOMoC2OJo2Bi8Ec5Wh7N3Qv4mV8D/9fzFMc/Z/4B9BugCpBqVRx//7zNqaD5O63RaeXXSJ3JPyfGUEeNoV5IHMYZR2HWz7i4uFynfaEboJmZmpoaVBBTU1M0Go368zi5TVeQjCEGieO/c6cPw33Ry8LY4iiIGNLzzOq9JDt5SVsQTE1NSU1NLfI40mMpsBjs3cCjGlw7zjtuV/jC1pXr8VoW7DjLuPavPDaObScuMm33FYNsl3atQoOKnmkvzu+CxFgo5oJH1aZ4POXsmcZwT4o6DmOqn+nxSBwFFINvMzi8ENPzO+DldnmKw79UCTSg9+WQCfBSqRJ5j/FKWNrxZetALo41pjpqDDFIHMYVR2HWz7zkL2PEhBBCvBj+Xe7B7MIOBjRI6xX5/sRNbsU+yvaQ63fjGbjsAP1+yHrSoqSUDGuKRmxI+/el12TpBiHyKn05lqjt8Ji1szMrW9KBUU3KqB9qTYCRTcpkv8xKdh7dhVv/LtPkKetFC1FQpAEqhBDixeDTNO3fC3vpVNubsg5mJKTCrC2nDJImJKUwZf0xGs3ax8a/YrPMzgTwdXdMe6HTwl+b0n73b53/sQvxvCtTByzs4OEtuHYiz4f3a1qZPcPq8U2nl9kzrB79mlbOewz/9n7i7AvFnPN+vBAiV6QBKoQQ4sXgHgjFXCD5AaZXjzCoUTkA1p26w9U7D4C057ZXHThH/Wk7+frwDRJToXxxMxa/8zKjc+phuRKW9sHZygG86hf+tQnxrDOzgPKN0n5/guVYIK0ntGnVsnnv+Ux3+VDav2VqP9nxQohckWdAhRBCvBhMTKBCUzi5CqK20y7kE77cf5GouykMX32UdgEefH3gGufvpU0l72RtwqDgsnSt/xKmpiY0AZpXLUPk9fv4ujvqf8iN+DXtX98WaR+khRB559ssbSh75FZo9FHhn19d/7NO4Z9biBeI9ICK51LDhg0ZMmRIno6ZMGECAQEBBRJPbjVo0IBVq1aprzUaDevXr882fXR0NBqNhvDw8IIP7gXj5eXFnDlzAEhOTsbLy4tjx44VbVDi6aUPw43cjomJCQGl0pbeOnQlgQ9/vcD5e1osTaFXzZLs/7AJoQ0rYmr633+VWfawKMp/DdCKj5+9UwiRDZ9X0/69fhLirhfuuVMS4OrxtN+lB1SIAiUN0OdUaGgoGo2G/v0NF3QeMGAAGo2G0NDQwg/sOfO4BmJebNiwgRs3btCxY8dcH+Pp6cn169d5+eWX8yWGZ13GRmN+srCwYPjw4YwcOTLf8xaFrHxj0JjC7XNcPX+aH0/fM0iyrFsAY994BVvrXPZkXjsBsVfA3CYtfyHEk7EtmTZbNaRNRlSYrp0AXQrYukFxr8I9txAvGGmAFqLrsQn8fuE212MTCuV8np6erF69moSE/86XmJjIqlWrKFOmTKHE8DSSk5OLOoRCNW/ePHr06JGn9UJNTU1xc3PDzOzZGU2fkpJisO1ZuNedO3fmwIEDnDlzpqhDEU/D2lHt3Yg7tVlv2YZ0cY+S8pZneu+nT1Mwt36q8IR44fk2T/u3sBugGZ//NILlyoR4nkkDNAOtVpvlj6Io6o9Op+NhUkqWP4+StdnuW/H7RepO280734RRd9puVvx+Mdu02f3odDq9WLL6AdR/q1WrhqenJ+vWrVP3r1u3jjJlyhAYGKimVRQFrVbLlClT8Pb2xtramqpVq7J27Vp1f2pqKj179lT3+/n5MWfOHL1z79mzh5o1a2Jra4u7uzv16tUjOjoaRVEIDQ2lbdu2eukHDx5Mw4YN1dcNGzZkwIABDB48GGdnZ5o1a4aiKJw+fZoWLVpga2uLq6srXbt25datW+px8fHxdOvWTT3vjBkz9O5rdmU1depUXF1dsbOzo2fPnmpDPX3/kSNHaNq0Kc7Ozjg4OBAcHMwff/yh7vfy8gKgXbt2aDQavLy8UBSF8+fP06ZNG1xdXbG3t6dly5bs2LEjx/t28+ZNdu/ezWuvvWZwP69du0aLFi2wtramXLlyevfl4sWLaDQaTpw48dj7lH5t6fepWLFiODo6UrduXfU+ZfVz5coVOnXqhJOTE8WKFaNGjRocPnxY3b9w4ULKly+PhYUFfn5+rFixQu94jUbDwoULef3117G1tWX69OnqcOdvvvkGb29vrKysUBSFe/fu0atXL1xcXLC3t6dx48aEh4fr5bdhwwZeeeUVrKyscHZ2pl27dmr9uXTpEkOHDlXX40w/5rfffqN+/fpYW1tTpkwZPvjgA+Lj49X9N27coHXr1lhbW+Pt7c23335rUHfSy+r7779/7N9hdu8lmX9yet8pzB8zM7Mij6Ewy0JXPgSAMvcPk/ljpglQrqR97vNLTUU5m7b8is7vtWeyPIw9DmOon8ZSFsYSR4HGUCHt71O5sAdt0qNCi0O59Hva37FnrTwfawx11BjqhcRhnHEUZv3MrWen26QALFiwgAULFqgFdu7cOWxtbfXSpDf6kpLSvhF/lKyl+tR9T3VenQLjNpxl3Ias15XLzh+jg7GxePzacklJSWpF6Nq1K0uWLKF9+/YALF68mC5durB//360Wi2JiYkATJ8+ndWrVzN37lwqVKjAgQMH6Nq1Kw4ODtSvX5+UlBTc3NxYuXIlJUqU4PDhwwwcOBBnZ2fat29Pamoq7dq1o0ePHixdupTk5GSOHTtGcnIyiYmJajzp54O0P0idTqdu0+l0rFixgj59+rBr1y4AYmJiaNKkCd27d2fq1KkkJCQwduxY3nrrLbZs2QLAsGHD2Lt3L2vWrMHFxYXx48dz/PhxdVhq+r3LaN26dUycOJHZs2dTp04dVq1axRdffIGXl5caz507d+jUqROff/45iqIwd+5cWrZsyenTp7Gzs2P//v2ULVuWr776iqZNm2JqakpiYiJ37twhJCSEsWPHYmlpyXfffUfbtm05efIknp6eWd6z3bt3Y2Njg7e3t14ZAYwbN45PPvmE6dOns2rVKjp16kSFChV46aWX1GtLSkoiMTHxsffp4cOHOd6nzOLj4wkODsbDw4O1a9fi6upKeHg4iYmJJCYm8ssvvzBkyBA+++wzGjduzJYtW+jZsyclS5YkODhYzWfixIl88sknTJs2DTMzM5YvX8758+dZu3Ytq1atUsvuzTffxMrKip9//hkHBwcWL15MSEgIJ0+exMnJiS1btvD222/z4Ycf8vXXX5OcnMy2bdtITEzku+++o1atWvTs2ZMePXoAaT3+f//9Ny1atGD8+PEsXLiQ27dvM3ToUN577z2+/vprALp168b169fZunUrZmZmDB8+nJs3b5KamqpXLtWqVWP//v1ZllX6fUhJSeHChQu57smOjIzMVbqC1KZNG/7++++iDqPQysLStDw+gPXVgwwMHMCCE0noSGt89qtuT9K9GCLuxeQur7iL+Nw9j87EnL90ZdFFRORbnMZQN6Do4zCW+glFXxbpjCGOAotBMcfPqgTmiXe48tv3xLvlvB5nvsShaPG/dBhT4O9UVxLz+HdsLHXUGOoFSByZFXUchVU/4+Pjc51Wo6R3jbzA4uLicHBw4O7du9jb2+vtS0xM5NKlS2ovzaPkVCqNL+RhIf86M/FVbCyy/84gvaFsaWlJz549uX//Pl9//TVlypThr7/SFlb29/fn8uXL9OnTB0dHR5YuXUpSUhIlSpRgx44dBAUFqfn17t2bhIQEvvvuuyzPN3DgQG7cuMHatWu5e/cuzs7O7NmzhwYNGqhxaP4dxtKjRw/u37/Pzz//rB4/ZMgQTp48yZ49ewBo1KgRcXFx/PHHH2qaSZMmceDAAbZu3apu++eff9Rr8vDwwNnZmZUrV/LWW28BcPfuXTw9PenTpw/Tpk3TiyNd3bp1CQgIYMGCBeq2oKAgEhMTOXEi6/XHdDodxYsX57vvvuO1114DwMTEhJ9++om2bdtme8zNmzdp2rQp/fr1Y+DAgVmmmzNnDv/73/84f/683nYTExP69evHF198oRdnYGAgCxcuJDo6mnLlynH8+PFsJ1AaOHAgMTExfPvttzx8+BAXFxf27Nmj10DMztdff82IESO4ePEiTk5OBvvr1atHxYoV1YYcQIcOHXj48CEbN25Ur2Hw4MHMnj1braPTpk1j6tSp/PPPP7i4uABw4MABXnvtNW7cuIGlpaWan4+PDyNGjKBv377UrVuXcuXKsXLlyizj9fb2ZvDgwXoTUPXu3RtTU1O++uor4L9e4FdffZX4+HguX77MSy+9RFhYGK+88goAf/31FxUrVmTWrFl6ec2bN485c+Zk+0aemJjIxYsXKVu2LFZWVjmWrVarJTIyEl9fX0xNH//FUkFJSkpi9uzZDB06VK/cC1Ohl4WiYDKvCpq4q2g7/cAlh5pEXb9PuZJpjc+8xKH5bQYme6eg+LyKruPqfAnPWOqGMcRhDPUTjKMsjCWOwohB8+sgTMK/RVezL0qzaQUfx40zmH5dH8XCFt2Iv8Ek9/0zxlBHjaFeSBzGGUdh1s+4uDicnJyIjY01aE9l9kL3gGZmampqUEFMTU3V4XwajQYbCzPOftLM4FhFUUhMTMLKyrCxExObSMisfegyNPVNNLBzWDBuDjl/SM3I2tzUIO+sZExTsmRJWrVqxfLly1EUhVatWqkf+NPTXrhwgUePHvHqq6/q5ZOcnExgYKCa34IFC1iyZAmXL18mISGB5ORkAgIC0Gg0lChRgtDQUJo3b07Tpk0JDg7mnXfewcPDI9vY0n/PuK169ep6r0+dOsWePXuws7MzuM6///6bxMREkpOTqV27tnpciRIl8PPz0ztP5nKLiIigf//+etuDgoLYs2ePuu3GjRuMGTOGvXv3cvPmTbRaLY8ePeLKlSsG15HxdXx8PBMmTGDTpk1cv36dlJQUEhMTDY7LKDExESsrqyz316lTxyDO8PBwvfNm/D27+5ReNhnvU0hICG+//Tbu7u5ZxnXy5EkCAwMpUaJElvsjIiLo27evXnx169Zl7ty5etteeeUVg2srW7YsJUuWVF+fOnWK+Ph4nJ31F/9OSEjg77//Vmf77dOnT45/B5nvx6lTpzh16pTe7MLpw+mjo6OJjIzEzMyMGjVqqMf5+/vj6OhokJeNjQ2PHj3K9vzp6bN6L8lOXtIWBFNTU1JTU4s8jvRYCi0Gn1fhj6WYXthFuZbNKefmhFarJeJeTN7i+Cvt+U+N/+v5Hrsx3JOijsOY6md6PBJHIcTg1wLCv8Ukaju0+CzHZzLzJY5/wgDQlH4FU/O8fUg3pjpqDDFIHMYVR2HWz7zkLw3QPEpvhGamKAomulSsLMwMPpyWc7Fl6huV+einP9EqCqYaDVPeeJlyLrYG+RSEnj17qj1vGXv80qV3mW/atIlSpUrp7Uv/tmT16tUMHz6cmTNnEhQUhJ2dHZ9//jlhYWFq2qVLlzJo0CC2bNnCjz/+yMSJE9mxYwe1a9fGxMSEzJ3tWU1GU6xYMYPYWrduzfTp0w3Suru7G/QY5qfu3btz584d5s6dS9myZbG0tCQoKOixE+YMHz6cHTt2MGPGDMqVK0d8fDwDBgzI8ThnZ2fu3TOcjTOv8nKftm7dyg8//MCYMWPU+5SZtXX+TKiS+b5mtS0+Ph53d3f27t1rkNbR0fGJ44mPj6dfv34MGjQI0B8pULZs2TwNjbl7967eFzjiGfZvA5TIbY/9gJutuxch5jRoTMCvZf7HKMSLqlxDMLWAe9FwOwpcfAv2fOr6n0E5pxNC5AtpgBaSDq+UoYGvC9G3H+HlbIO7Q+HNlNi8eXOSk5PRaDQ0a2bYe1uxYkUsLS25fPlytsMyDx48SJ06dXjvvffUbRcuXDBIFxgYSEBAAEOHDqVx48asWrWK2rVr4+Liwp9//qmXNjw8HHNz8xxjr1atGuvWrcPLyyvLmV7Lly+Pubk5YWFh6sy+9+7dIzIykgYNGmSbr7+/P2FhYXTr1k3ddvjwYYNrXrhwIS1bpn2wvHLlCrdv39ZLY25ubvDQ9cGDBwkNDaVdu3bodDouXLhAdHR0jtcZGBhITEwM9+7do3jx4nr7Dh8+bBBn+iRSmeXlPgUGBjJ69GiCgoLU+5RZlSpVWLRoEXfv3s1yCK6/vz8HDx6ke/fuejFUrFgxx+vNSrVq1YiJicHMzEyd4CmreHbt2qU+45mZhYWFwf2oVq0aZ8+epUKFCkD6aIX/epxfeuklUlNT+eOPP9QhuOfOneP+/fsG+f/555/Zlr14xpQLTvuAe//Sk3/A/SttmDll60KxrEcJCCGegKUteNWDC7shcmshNkBl/U8hCoPMgluI3B2sCSpfolAbn5DWJR4REcHZs2ez7B63s7Nj+PDhDB06lOXLl3PhwgWOHz/O/PnzWb58OZD2HN6xY8fYtm0bkZGRjB07lqNHj6p5XLx4kdGjR3Po0CEuXbrEzp07iYqKwt/fH4DGjRtz7NgxVqxYQVRUFOPHjzdokGZlwIAB3L17l06dOnH06FEuXLjAtm3b6NGjB1qtFltbW3r16sWIESPYvXs3f/75J6GhoY+dAGbw4MEsWbKEpUuXEhkZyfjx4w2W1/Dx8WHlypVEREQQFhZG586dDXrgvLy82LVrl9p4TD/up59+Ijw8nJMnTzJgwAB0Ol2O8QQGBuLs7MzBgwcN9q1du5YlS5aocR45ciTbZ0nzep+2b9+ud58y69SpE25ubrRt25aDBw/y999/s27dOg4dSpuufsSIESxbtowvvviCqKgoZs2axU8//cTw4cNzvN6shISEEBQURNu2bdm+fTvR0dH8/vvvfPzxxxw7dgyA8ePH8/333zN+/HgiIiI4ffq0Xu+4l5cX+/fv5+rVq+qXBSNHjuT3339n4MCBhIeHExUVxa+//qqWoZ+fH82bN6dfv36EhYXxxx9/0Lt37yx7W3/77TeDoeriGWVRLO0DLjz5cg/py6/4v54/MQkh/uPz7xfmBb0cy/0rEPdP2vrApWsU7LmEEIA0QF8Y9vb2OT4Q/OmnnzJ27FimTp2Kv78/zZs3Z9OmTXh7ewPQr18/3njjDTp06ECtWrW4c+eOXi+bjY0Nf/31F+3bt8fPz4+BAwfy3nvv0a9fPwCaNWvG2LFj+fDDD3nllVd48OCBXq9edjw8PDh48CBarZZXX32VypUrM2TIEBwdHdVG5ueff079+vVp3bo1ISEh1KtXj+rVq+eYb4cOHdR4qlevzqVLl3j33Xf10ixevJh79+5RrVo1unbtyqBBg/SeWQSYOXMmO3bswNPTU+0ZmzVrFsWLF6dOnTq0adOGhg0bUq1atRzjMTU1pUePHllO+DRx4kRWr15NlSpVWLFiBd9//322PYx5uU++vr707duXAQMGqPcpMwsLC7Zv307JkiVp2bIllStXZtq0aeoXGW3btmXu3LnMmDGDSpUq8dVXX7F06VIaNmyY4/VmRaPRsHnzZho0aECPHj3w9fWlY8eOXLp0CVdXVwAaNmzI2rVr2bBhAwEBATRu3JgjR46oeXzyySdER0dTvnx5dahslSpV2LdvH5GRkdSvX59q1aoxadIkveeTly5dioeHB8HBwbzxxhv07dvX4F4fOnSI2NhY3nzzzTxfmzBSPv9+mfAkH3AfxMCVf4e2+7+WfzEJIdL4/vv3eel3SLhfcOdJ7/10r5r2xZQQouApQomNjVUAJTY21mBfQkKCcvbsWSUhISHHPHQ6nfLo0SNFp9MVVJiPZQwxSBz6tFqtcvXqVUWr1T427fXr1xUnJyclOjo63+MwhrIwljieNIa3335bmTx5co5pcvt+oSiKkpqaqpw+fVpJTU3NUxz5LTExUZkwYYKSmJhYZDEUWVncPq8o4+0VZWIJRUmMy1scYV+nHftNk3wPy1jqhjHEYQz1U1GMoyyMJY5CjWF+jbS/s9PrCi6OX4emnWPL6Cc63BjqqDHUC4nDOOMozPqZU3sqM+kBFcJIuLm5sXjxYi5fvlzUoYhMkpOTqVy5MkOHDi3qUER+KlEenMqDLgX+3pu3Y9Xht63zPSwhxL98/x2GG7mt4M4hz38KUeikASqEEWnbti3169cv6jBEJhYWFowZMybfZgUWRuRJhuE+ugvRB9J+lwaoEAUn/TnQ8ztAp8057ZNIuAc3z6b9LjPgClFoZBbcDLRarcEMmlqtFkVR1J/spO/LKU1BM4YYJA7DGDQazWPrT2HEkfHfFzmOgowh/T5n9V6SWfr+x6UraFqtFjMzs1zFXJAxZPy3UJVvgmnYFygRG9EGDctVHJq/NmGiaFFcX0bnUBbyOW5jqhtFHYcx1M/0ODL++yLHUagxlHoFE0t7NI/uoD3yTdpyR/al8i+OS2GYoqA4VUBn7fREf8vGUEeNoV5IHMYZR2HWz7zkr1GK+hNpEVqwYAELFixAq9USGRnJoUOHsLXVX5tTp9OhKIq6DqQQQmQnKSmJS5cuodFoHjsTszAOxS/8jMeJGWgABQ3Xqo/knnfOvZplDn6I/fWD3KjYi1sVexZOoEK8oMrt6oXNvb8AUDDhWvUPH/s3mluup7/E5dxK7nm9xtUao/MlTyFeVPHx8QQFBREbG5vjxKfwgjdA08XFxeHg4MDdu3cNCiwxMZFLly7h7e2NlZVVtnkoGRa31zzJgub5wBhikDj06XQ6bt68ScmSJYu0QWIMZWEscRRkDImJiVy8eJGyZcvm+H4BqF98+fr6Zrk8UmFJSkpi9uzZDB06tMi+ZCuysoi7ism8qmiU/5ZJUtCQ0mMnpqWzWe816QEmM33QaJPR9jsAJfO+5u3jGEvdMIY4jKF+gnGUhbHEUagxxF3FZG4VNPz3UVXRmKIbFI62mNtTx2GyvBWay4fQtZ6PEtD5ifIwhjpqDPVC4jDOOAqzfsbFxeHk5JSrBqgMwc3A1NTUoIKYmpqi0WjUn8fJbbqCZAwxSBz/nTt9GO6LXhbGFkdBxJCeZ1bvJdnJS9qCYGpqSmpqapHHkR5LocZwPxoU/TV6NSiYL2+GpkoHqNUf3KvoH/P3LtAmg1N5TN1ehgKsx8ZwT4o6DmOqn+nxSByFGMP9aEC/n0SjaDG9f0kdivvEcaQmwdXjAJh41YUnvBZjqqPGEIPEYVxxFGb9zEv+MkZMCCHEi8mpPGj0/xtUAI0uFcK/g6/qw7LX4K9N/02AcmpN2r/lGhZo41MIQZZ/o2hMwanc0+d97QRok6CYS/7kJ4TINWmACiGEeDE5lILWc9M+0JI2tO9a9VFoe2yDl9unbY/+DVa/A/OrwdoeELk17dg/lsLxFUUYvBAvAPVvNMPH1aABaduf1uVDaf+WqS1fJglRyGQIrhBCiBdXtW5Qvgnc/RudY1nuXY3DrbQ/lK0NTT+Fo9/AsaVwLzrtJ52ig1+HpB2bHx+GhRBZS/8b3fQBRG6Bq39Afkxfoq7/KcuvCFHYpAdUiGxoNBrWr18PQHR0NBqNhvDw8CfOLz/yEEIUAIdS4F1ffaZMb3vIBBgWAbXfMzxO0cLdvwslRCFeaA6loNVMMLWASwfh4r6ny0+ny9AArf308Qkh8kQaoM+p0NBQvcmT0n/Onz+v7m/btm22xyckJDB+/Hh8fX2xtLTE2dmZt956izNnzuilmzBhgt7EK56envTt25e7d+/qpfPy8mLOnDnq65MnT/L6669TsmRJrKys8PLyokOHDty8eTPfyiA/eXp6cv36dV5++eVcpc+qfPOahxDCSFjYQNDAgnsWTQjxeA6loHqPtN/3THm6XtDb5yDxPpjbgFuVxyYXQuQvo2yALliwAC8vL6ysrKhVqxZHjhzJNu0333xD/fr1KV68OMWLFyckJCTH9EUq9ipc3J/2byFo3rw5169f1/vx9vZ+7HFJSUmEhISwZMkSJk2aRGRkJJs3byY1NZVatWpx+PBhvfSVKlXi+vXrXL58maVLl7Jt2zYGDx6cbf63bt2iSZMmODk5sW3bNiIiIli6dCkeHh48fPjwqa87o5SUlHzJx9TUFDc3N8zMnnzUen7kIYQoIpmeF0VjCq3nyPBbIQpT/WFgZgVXwuDCrifP59yWtH/dKoOpef7EJoTINaNrgP7www8MGzaM8ePHc/z4capWrUqzZs2y7Rnbu3cvnTp1Ys+ePRw6dAhPT09effVVrl4toEaeokDyw7z/HPkG5rwMy1un/Xvkm7znkcdv+ywtLXFzc9P7yc0UyXPmzOHQoUNs3LiRt99+m7Jly1KzZk3WrVuHv78/vXr1IuPysWZmZri5uVGqVClCQkJ488032b17d7b5Hzx4kNjYWBYtWkRgYCDe3t40atSI2bNn59hA9vLy4tNPP6VTp04UK1aMUqVKsWDBAr00Go2GL774gtdffx1bW1umT58OwC+//EK1atWwsrKiXLlyTJw4kdTUVPW4qKgoGjRogJWVFRUrVmTHjh16+WY1fPbMmTO89tpr2NvbY2dnR/369blw4QITJkxg+fLl/PLLL5iamlKqVCn27t2bZR779u2jZs2aWFpa4u7uzqhRo/TiatiwIYMGDeLDDz/EyckJNzc3JkyYkG0ZCSEKULVuMOQ0dN+Y9m+1bkUdkRAvFjs3eKU3ACb7pj1ZL+jxFbBrYtrvV47IZGJCFAGj64qZNWsWffr0oUePtGEWX375JZs2bWLJkiWMGjXKIP13332n93rRokWsW7eOXbt20a1b1h8OkpKSSEpKUl/HxcVluR0gOTkZRVHQ6XTodDpIfojJtNIGeWoA69xepKKDzcPTfvJAN+ofsCiWfbaKosaa8ffHpc1s1apVhISEULlyZYP9gwcPpmvXrpw4cYKAgAC1IZqeLjo6mu3bt2Nubo5Op9NbZzH9fCVLliQ1NZV169bx5ptv5mktxs8//5zRo0czfvx4tm/fzuDBg6lQoQJNmzZV00yYMIEpU6Ywc+ZMdDod+/bto1u3bsyZM0dtJPbv3x9FURg3bhw6nY433ngDV1dXDh06RGxsLMOGDVOvS733GV5fvXqVBg0aEBwczM6dO7G3t+fgwYMkJyczbNgwzp49S1xcHIsXL+bWrVv4+flx/fp1gzxatmxJ9+7dWbZsGX/99Rf9+vXD0tKS8ePHq9ezfPlyhg4dyqFDhzh06BA9e/YkKChI75ofJ+P9Lsr1N40hjoKMIf1vLzk5+bF5a7VaUlJSSEpKKtJ1ytLf8zK/9xUmYymLXMVh5Qwezmm/F1CZPVPlUcCMoX6CcZSFscRR5DG88i4Wx5aguXYc63/2k1S+fO7jiLuGxa+DyfDJBOXXISR71gd7jycKxxjqaJHfE4nDaOMozPqZl3MYVQM0OTmZP/74g9GjR6vbTExMCAkJ4dChQ7nK49GjR6SkpODk5JRtmqlTpzJx4kSD7bNmzcLKykpvW7Fixahbty63b9/GzMwMTcoj3HN5Pfntxo0bKOY2uUqbkJDApk2bsLOzU7c1atSIr7/+Wt2flJRETEyMwbGRkZG88sorWe4rWbIkAEeOHMHNzY34+HhOnz6NnZ0dOp2OxMREAMaPH8+NGzfU47RaLXFxccTExODl5cX7779Ply5d6N+/P4GBgdStW5c333wTFxeXbK9Jq9VSo0YNunfvDsCbb77Jrl27+Oyzz6hcubKa7vXXX6dFixbq6969e/Pee+/RrFkzACpXrsywYcOYPHkyffv2Zd++ffz1118sX74cV1dXXF1d+eCDD+jSpQv3798nJiaGW7duAXD79m1iYmL47LPPsLW1Zfbs2Zibpw3fST9nfHy8em6NRkPJkiW5d++eQR6ff/457u7ufPzxx2g0GmrXrs3QoUOZMmUKffr0wcTEhOTkZF566SX69u0LwKuvvkrVqlX59ddf9a5ZGIfU1FRiY2PZvHlzvg8nL2izZ88u6hCEyJbUT5FRE6US9TiKTdgcPg+7letlVCoqf/EW+l+saxQt3y+YzCWN51PFJHVUGLPCqJ/pbYDcMKoG6O3bt9Fqtbi6uuptd3V15a+//spVHiNHjsTDw4OQkJBs04wePVrt4YK0HlBPT0+GDRuGvb29XtqkpCT++ecfnJ2d0xqnipLWE5mJoigkJSVjaWlh2PMRdw3NF7XRKP+96SkaU5R3D+XpGzdXc5sc32TTYkjC0tISa2trGjZsyMKFC9X9xYoVw83NDQBra2uSkpLU15nZ2NhkuS+9F8/R0RE3NzdsbW3x8/Nj/fr1JCYm8t133xEeHs6wYcMoVqyYWhampqbY29urec6ZM4exY8eye/dujhw5wqpVq/jf//7H3r17s21YmZqaEhwcrBdXo0aNmDt3rt62Bg0a4ObmppbHX3/9xbFjx5g/f76aRqvVkpiYiL29PTdu3MDT05OAgAB1f8uWLfWuM/2PytnZGTc3N86fP09wcDCenln/h5Vevq6urty4cQNXV1eDPK5cuUK9evVwd//vK40WLVrw8ccfk5qaSpkyZbCwsKBixYp61+fp6cnDhw+zvXdZyVg3iroHtKjjKMgYEhMTiY+Pp2/fvlhaWuaYVqvVcu7cOfz8/Iq8B3T27NkMHTr0sTEXFGMpC4nD+OIwhvoJxlEWxhKHMcTAoz4oC2vgnnKTUW1fBv/Wjz8mMQ7zZc3gnv5mRWNKp/c+fqoe0KKuo0ZxTyQOo4yjMOtnXFwc06ZNy1Vao2qAPq1p06axevVq9u7da9CTmZGlpWWWNyGr7YqioNFoMDExwcTk30dmTe0MjlUUBQ2JmFhZGX6otfJLm7zi1yFp0/ZrTNG0noOmpF+erzEnGWPVaDTY2tri6+ubZdr0mWvVa8rA19eXv/76K8t9586dA+Cll15Sz2NhYaGep0qVKrRq1YopU6YwdepUvbLIfD4XFxc6dOhAhw4dmDp1KoGBgcyaNYvly5dne42Z80jPP+M2Ozs7TExM1PKIj49n4sSJvPHGGwb52djYZJlH+u/p9z3z6/Tjsiqj9LjSfzLHnZ5HVvcgcxoACwsLgzSKomR77qxkrhtFxRjiKMgYMv5N5KYBam5ujqWlZZH+B5kuu/fFwmAsZSFxGGccULT1E4ynLIwhDmOIAUsPdLX6ozkwE4uDM9BUeQNy+j8xNRnW94J7F8DSHpLj0x6H+vfzmKXL4ydofGxI8h4qcRhpHFA49TMv+RtVA9TZ2RlTU1O9oZuQNvT0cb09M2bMYNq0aezcuZMqVYxwSu0Mi53jVM6oZ07s2LEjH3/8MSdPnqRq1arqdp1Ox+zZs6lYsaLe9sw+/vhjmjRpwvvvv0+pUrm7TgsLC8qXL//YYYuZZ+A9fPgw/v7+OR5TrVo1zp07R4UKFbLc7+/vz5UrV7h+/braG5n5PJlVqVKF5cuXk5KSog7BzcjCwgKtVptjHv7+/qxbt05tEEHaBE12dnaULm34nLEQQggh0ii1B6A9/CWmtyLg7Hp42fBL5rSECvw6OG3tUAtbCN0INs7PxOcxIZ5XRjULroWFBdWrV2fXrv+m1tbpdOzatYugoKBsj/vss8/49NNP2bp1KzVq1CiMUJ9M+mLnRvJmFxsbS3h4uN7PlStXGDp0KDVr1qR169asXbuWy5cvc/ToUdq3b09ERASLFy/OsecoKCiIl19+mSlTpmS5f+PGjXTp0oWNGzcSGRnJuXPnmDFjBps3b6ZNmzY5xnzw4EE+++wzIiMjWbBgAWvXrs1xyReAsWPHsmLFCiZOnMiZM2eIiIhg9erVjBkzBoCQkBB8fX3p3r07J0+e5LfffuPjjz/OMc+BAwcSFxdHx44dOXbsGFFRUaxcuVLtIfby8uLUqVOcO3eOu3fvZrkczHvvvceVK1d4//33+euvv/jll18YP348w4YNy1PvphBCCPHCsXbktm/HtN/3TgNdNl/67psOJ1elLZ301jJwr2p0n8eEeNEY3afcYcOG8c0337B8+XIiIiJ49913efjwoTorbrdu3fQmKZo+fTpjx45lyZIleHl5ERMTQ0xMjN5EMCJre/fuJTAwUO9n4sSJWFlZsXv3brp168ZHH31EhQoVaN68Oaamphw+fJjatWs/Nu/333+fxYsXc+XKFYN9FStWxMbGhg8++ICAgABq167NmjVrWLRoEV27ds0x3w8++IBjx44RGBjIpEmTmDVrljq5UHaaNWvGxo0b2b59O6+88gq1a9dm9uzZlC1bFkgbNvnzzz+TkJBAzZo16d27N5MnT84xzxIlSrB7927i4+MJDg6mevXqfPPNN2pvaJ8+ffDz86NmzZpUrlyZgwcPGuRRqlQpNm/ezJEjR6hatSr9+/enV69easNYCCGEENm74/M2ipUj3D4Hf64zTBC+CvZOTfu91Uzwyf3s8UKIgmNUQ3ABOnTowK1btxg3bhwxMTEEBASwdetWdWKiy5cv6/UOffHFFyQnJ/Pmm2/q5TN+/PgXer3EZcuWPXZ/TmlsbGyYNGkSkyZNyjGfCRMmZFnOb731Fl27dlV7SqOjo9V95cqVU2fjzSt7e3vWrFmT7f6M65Nm1KxZsxwbqr6+vvz222/Z5uXl5WWQd5UqVdi2bVuW+bm4uLB9+3Z0Oh0xMTG4ubmpz25mFBwczJEjR7KNa+/evQbb1q9fn216IYQQ4kWhM7dFCRqIZs+ktF7QSm+A6b8fbf/eCxveT/u93lCo0aPI4hRC6DO6BiikDW8cOHBglvsyfyDP2LARQgghhBAvDuWVPnB4Idy9AKfXQMA7cOMs/NAVdKnwcntoPK6owxRCZGB0Q3CFEEIIIYTIFUs7qDck7fc9k+H0OljZDpLioEwQtFmY8wy5QohCZ5Q9oEJkRXq7hRBCCGHgld6w7zOI/QfW9UzbVqwkdFwF5tkvyyeEKBrylZAQQgghhHh2JdyH5EzLuD26DSkJRRKOECJn0gOagVarNVi7UavVoigKOp0u2wlu4L8Ja3JKU9CMIQaJwzAGjUaDoihFHkfGf1/kOAoyhvT3iazeSzJL3/+4dAVNq9ViZmaWq5gLMoaM/xYVicP44jCG+pkeR8Z/X+Q4jCEGgzhuR2FKpvd0RYf29nmwzXkd+fyIo6jrqFHeE4nDKOIozPqZl/w1SlF/Ii1CCxYsYMGCBWi1WiIjIzl06BC2trZ6adIbnx4eHgb7hBAio/v373Pjxg1MTU1zXCtXCCFE/jF7dBO/ze3RoFO3KRoTzrVYR6pNySKMTIgXR3x8PEFBQcTGxmJvb59j2he6AZouLi4OBwcH7t69a1BgiqLwzz//kJqairu7u94SMJnTJScnY2FhUWQfPI0hBolDn06n486dO5QoUSLbulMYjKEsjCWOgohBURQePXrErVu3sLe3x83t8d+4p3/x5evri6mpab7E8SSSkpKYPXs2Q4cOxdLSskhiMJaykDiMLw5jqJ9gHGVhLHEYQwxZxaE5sRLNpmFoFC2KxhSl1SyUwJzXFs8PxlBHjfWeSBxFH0dh1s+4uDicnJxy1QCVIbgZmJqaZllBPDw8uHjxIpcvX872WEVRSElJwdzcvEg/WBd1DBKHYQyxsbHEx8e/8GVhLHEUZAyOjo64ubnlKd/s3ncKi6mpKampqUUeR3osRR2DxGFccRhT/UyPR+Iwnhj04qgRCj5N4e7faJzKoXEoVWjnN5Y6agwxSBzGFUdh1s+85C8N0FywsLDAx8eH5OTkbNNotVouXLhA2bJli/RbyaKOQeLQl5yczObNm+nbty8WFhZFEgMYR1kYSxwFFYO5ublR/EcnhBAvLIdSaT9CCKMmDdBcMjExwcoq+6m8tVqtmqYoP1gXdQwShz6NRsPDhw+xtLQs8uFjRV0WxhKHMcQghBBCCPGikmVYhBBCCCGEEEIUCmmACiGEEEIIIYQoFNIAFUIIIYQQQghRKOQZUP5bkD4uLu6J89BqtcTHxxMXF1ekz7YVdQwSh76kpCQSExOJi4sr8mdAi7osjCUOY4jBmOIwhjpqLGUhcRhfHMZQP8E4ysJY4jCGGIwpDmOoo8ZSFhKH8cVRmPUzvR2VmxU+ZR1Q4J9//sHT07OowxBCCCGEEEKIZ9aVK1coXbp0jmmkAQrodDquXbuGnZ3dU60L+Morr3D06NF8jOzZjEHi+E9cXByenp5cuXLlsYvyFrSiLgtjisMYYjCWOIyljhpDWUgcxheHsdRPKPqyMKY4jCEGY4nDWOqoMZSFxGF8cRRm/VQUhQcPHuDh4YGJSc5PecoQXNKWWHlcSz03TE1Ni/w/SGOIQeIwZG9vX+RxGEtZGEMcxhCDMcUBRV9HjaUsJA7jjKOo6ycYT1kYQxzGEIMxxQFFX0eNpSwkDuOMo7Dqp4ODQ67SySRE+WjAgAFFHYJRxAAShzEylrIwhjiMIQYwnjiMgbGUhcShz1jiMAbGUhbGEIcxxADGE4cxMJaykDj0GUscxkaG4ApRgOLi4nBwcCA2NtYovgETIjOpo8KYSf0Uxk7qqDBmxlo/pQdUiAJkaWnJ+PHji3T2RiFyInVUGDOpn8LYSR0VxsxY66f0gAohhBBCCCGEKBTSAyqEEEIIIYQQolBIA1QIIYQQQgghRKGQBqgQQgghhBBCiEIhDVAhhBBCCCGEEIVCGqBCCCGEEEIIIQqFNECFEEIIIYQQQhQKaYAKIYQQQgghhCgU0gAVQgghhBBCCFEopAEqhBBCCCGEEKJQSANUCCGEEEIIIUShkAaoEEIIIYQQQohCIQ1QIYQQQgghhBCFQhqgQgghhBBCCCEKhTRAhRBCPBP27t2LRqPhxx9/LOpQcuXGjRu8+eablChRAo1Gw5w5cwrlvMuWLUOj0RAdHV0o53veTJgwAY1GU9RhCCHEc0saoEIIIVTpjRcrKyuuXr1qsL9hw4a8/PLLRRDZs2fo0KFs27aN0aNHs3LlSpo3b55tWo1Go/6YmJjg4eHBq6++yt69ewsvYODs2bNMmDDhuWu8enl56ZWxlZUVPj4+jBgxgrt37xZ1eEII8UKRBqgQQggDSUlJTJs2rajDeKbt3r2bNm3aMHz4cLp06cJLL72UY/qmTZuycuVKli9fTv/+/Tl16hSNGzdmy5YteTpv165dSUhIoGzZsnmO+ezZs0ycOPG5a4ACBAQEsHLlSlauXMn//vc/QkJCmDNnjsEXA2PGjCEhIaGIohRCiOefWVEHIIQQwvgEBATwzTffMHr0aDw8PIo6nEL18OFDihUr9tT53Lx5E0dHx1yn9/X1pUuXLurrdu3aUaVKFebMmUOLFi1ynY+pqSmmpqZ5CfWZl5qaik6nw8LCIts0pUqV0ivf3r17Y2try4wZM4iKisLHxwcAMzMzzMzk45EQQhQU6QEVQghh4KOPPkKr1T62FzQ6OhqNRsOyZcsM9mk0GiZMmKC+Tn+2LjIyki5duuDg4ICLiwtjx45FURSuXLlCmzZtsLe3x83NjZkzZ2Z5Tq1Wy0cffYSbmxvFihXj9ddf58qVKwbpwsLCaN68OQ4ODtjY2BAcHMzBgwf10qTHdPbsWd555x2KFy9OvXr1crzmv//+m7feegsnJydsbGyoXbs2mzZtUvenD2NWFIUFCxaowz7zqnLlyjg7O3Px4kV12+7du6lfvz7FihXD0dGRNm3aEBERoXdcVs+Aenl58dprr3HgwAFq1qyJlZUV5cqVY8WKFXrHvfXWWwA0atRIjTt9GPCxY8do1qwZzs7OWFtb4+3tTc+ePR97Henn3r59OwEBAVhZWVGxYkV++ukng7T3799nyJAheHp6YmlpSYUKFZg+fTo6nU5Nk17nZsyYwZw5cyhfvjyWlpacPXs2V+WakZubG4BegzOrZ0A1Gg0DBw5k/fr1vPzyy1haWlKpUiW2bt2a53MKIcSLThqgQgghDHh7e9OtWze++eYbrl27lq95d+jQAZ1Ox7Rp06hVqxaTJk1izpw5NG3alFKlSjF9+nQqVKjA8OHD2b9/v8HxkydPZtOmTYwcOZJBgwaxY8cOQkJC9IZN7t69mwYNGhAXF8f48eOZMmUK9+/fp3Hjxhw5csQgz7feeotHjx4xZcoU+vTpk23sN27coE6dOmzbto333nuPyZMnk5iYyOuvv87PP/8MQIMGDVi5ciXw37Da9Nd5ce/ePe7du0eJEiUA2LlzJ82aNePmzZtMmDCBYcOG8fvvv1O3bt1cDZk9f/48b775Jk2bNmXmzJkUL16c0NBQzpw5o8Y9aNAgIO0LiPS4/f39uXnzJq+++irR0dGMGjWK+fPn07lzZw4fPpyra4mKiqJDhw60aNGCqVOnYmZmxltvvcWOHTvUNI8ePSI4OJhvv/2Wbt26MW/ePOrWrcvo0aMZNmyYQZ5Lly5l/vz59O3bl5kzZ+Lk5JRjDCkpKdy+fZvbt2/zzz//8OuvvzJr1iwaNGiAt7f3Y6/hwIEDvPfee3Ts2JHPPvuMxMRE2rdvz507d3JVBkIIIf6lCCGEEP9aunSpAihHjx5VLly4oJiZmSmDBg1S9wcHByuVKlVSX1+8eFEBlKVLlxrkBSjjx49XX48fP14BlL59+6rbUlNTldKlSysajUaZNm2auv3evXuKtbW10r17d3Xbnj17FEApVaqUEhcXp25fs2aNAihz585VFEVRdDqd4uPjozRr1kzR6XRqukePHine3t5K06ZNDWLq1KlTrspnyJAhCqD89ttv6rYHDx4o3t7eipeXl6LVavWuf8CAAbnKF1B69eql3Lp1S7l586YSFhamNGnSRAGUmTNnKoqiKAEBAUrJkiWVO3fuqMedPHlSMTExUbp166ZuS7+HFy9eVLeVLVtWAZT9+/er227evKlYWloqH3zwgbpt7dq1CqDs2bNHL76ff/5ZrRd5lX7udevWqdtiY2MVd3d3JTAwUN326aefKsWKFVMiIyP1jh81apRiamqqXL58WVGU/+qcvb29cvPmzTzFkPmnbt26yu3bt/XSpteJjADFwsJCOX/+vLrt5MmTCqDMnz8/dwUhhBBCURRFkR5QIYQQWSpXrhxdu3bl66+/5vr16/mWb+/evdXfTU1NqVGjBoqi0KtXL3W7o6Mjfn5+/P333wbHd+vWDTs7O/X1m2++ibu7O5s3bwYgPDycqKgo3nnnHe7cuaP2ej18+JAmTZqwf/9+vSGdAP37989V7Js3b6ZmzZp6w3RtbW3p27cv0dHRTzQMNN3ixYtxcXGhZMmS1KpVi4MHDzJs2DCGDBnC9evXCQ8PJzQ0VK+nr0qVKjRt2lS99pxUrFiR+vXrq69dXFyyLePM0p9l3bhxIykpKXm+Ng8PD9q1a6e+tre3p1u3bpw4cYKYmBgA1q5dS/369SlevLh6z27fvk1ISAhardagN7x9+/a4uLjkOoZatWqxY8cOduzYwcaNG5k8eTJnzpzh9ddfz9WkQyEhIZQvX159XaVKFezt7XNVfkIIIf4jT9kLIYTI1pgxY1i5ciXTpk1j7ty5+ZJnmTJl9F47ODhgZWWFs7OzwfashjemTxaTTqPRUKFCBXUYalRUFADdu3fPNobY2FiKFy+uvs7NEEyAS5cuUatWLYPt/v7+6v4nXaamTZs2DBw4EI1Gg52dHZUqVVInQ7p06RIAfn5+WZ5727Ztj508KXO5AxQvXpx79+49Nrbg4GDat2/PxIkTmT17Ng0bNqRt27a88847WFpaPvb4ChUqGDxX6evrC6Q90+nm5kZUVBSnTp3KtlF58+ZNvde5vWfpnJ2dCQkJUV+3atUKPz8/3nzzTRYtWsT777+f4/FPU35CCCH+Iw1QIYQQ2SpXrhxdunTh66+/ZtSoUQb7s5tcR6vVZptnVjO0Zjdrq6IouYz0P+m9m59//jkBAQFZprG1tdV7bW1tnefz5LfSpUvrNZDy29OUsUaj4ccff+Tw4cP8+uuvbNu2jZ49ezJz5kwOHz5sUJ5PQqfT0bRpUz788MMs96c3WNPlxz1r0qQJAPv3739sAzQ/66gQQrzIpAEqhBAiR2PGjOHbb79l+vTpBvvSexHv37+vtz29x64gpPdwplMUhfPnz1OlShUAdZikvb19vjfoypYty7lz5wy2//XXX+r+gpCeb3bndnZ2zpelYx43W2/t2rWpXbs2kydPZtWqVXTu3JnVq1frDavOyvnz51EURS//yMhIIG2WXEi7b/Hx8QXaCM8sNTUVgPj4+EI7pxBCvOjkGVAhhBA5Kl++PF26dOGrr75Sn9dLZ29vj7Ozs8HzeQsXLiyweFasWMGDBw/U1z/++CPXr19X18qsXr065cuXZ8aMGVk2LG7duvXE527ZsiVHjhzh0KFD6raHDx/y9ddf4+XlRcWKFZ8475y4u7sTEBDA8uXL9Rr7f/75J9u3b6dly5b5cp70RmzmLxTu3btn0NOX3ruclJT02HyvXbumzhIMEBcXx4oVKwgICFCXQnn77bc5dOgQ27ZtMzj+/v37amMxP/36668AVK1aNd/zFkIIkTXpARVCCPFYH3/8MStXruTcuXNUqlRJb1/v3r2ZNm0avXv3pkaNGuzfv1/t3SoITk5O1KtXjx49enDjxg3mzJlDhQoV1OVTTExMWLRoES1atKBSpUr06NGDUqVKcfXqVfbs2YO9vb3a8MirUaNG8f3339OiRQsGDRqEk5MTy5cv5+LFi6xbtw4Tk4L7Xvfzzz+nRYsWBAUF0atXLxISEpg/fz4ODg56660+jYCAAExNTZk+fTqxsbFYWlrSuHFjVq1axcKFC2nXrh3ly5fnwYMHfPPNN9jb2+eq8evr60uvXr04evQorq6uLFmyhBs3brB06VI1zYgRI9iwYQOvvfYaoaGhVK9enYcPH3L69Gl+/PFHoqOjDZ4TzourV6/y7bffApCcnMzJkyf56quvcHZ2fuzwWyGEEPlHGqBCCCEeq0KFCnTp0oXly5cb7Bs3bhy3bt3ixx9/ZM2aNbRo0YItW7ZQsmTJAonlo48+4tSpU0ydOpUHDx7QpEkTFi5ciI2NjZqmYcOGHDp0iE8//ZT//e9/xMfH4+bmRq1atejXr98Tn9vV1ZXff/+dkSNHMn/+fBITE6lSpQq//vorrVq1yo/Ly1ZISAhbt25l/PjxjBs3DnNzc4KDg5k+fXqeJ+TJjpubG19++SVTp06lV69eaLVa9uzZQ3BwMEeOHGH16tXcuHEDBwcHatasyXfffZerc/v4+DB//nxGjBjBuXPn8Pb25ocffqBZs2ZqGhsbG/bt28eUKVNYu3YtK1aswN7eHl9fXyZOnIiDg8NTXVt4eDhdu3YF0r6kcHZ25o033uDTTz+lVKlST5W3EEKI3NMo8vS8EEIIIQqIl5cXL7/8Mhs3bizqUIQQQhgBeQZUCCGEEEIIIUShkAaoEEIIIYQQQohCIQ1QIYQQQgghhBCFQp4BFUIIIYQQQghRKKQHVAghhBBCCCFEoZAGqBBCCCGEEEKIQiHrgAI6nY5r165hZ2eHRqMp6nCEEEIIIYQQ4pmhKAoPHjzAw8MDE5Oc+zilAQpcu3YNT0/Pog5DCCGEEEIIIZ5ZV65coXTp0jmmkQYoYGdnB6QVmL29fRFHI54nKSkpbN++nVdffRVzc/OiDkcIA1JHhTGT+imMndRRYcwKs37GxcXh6emptqtyIg1QUIfd2tvbSwNU5KuUlBRsbGywt7eX/5iEUZI6KoyZ1E9h7KSOCmNWFPUzN48zyiREQgghhBBCCCEKhTRAhRBCCCGEEEIUCmmACiGEEEIIIYQoFPIMaC5ptVpSUlKKOgzxjElJScHMzIzExES0Wm1RhyMKkKmpKWZmZrKUkxBCCCFEDoq0Abp//34+//xz/vjjD65fv87PP/9M27ZtgbQP7mPGjGHz5s38/fffODg4EBISwrRp0/Dw8FDzuHv3Lu+//z6//vorJiYmtG/fnrlz52Jra5tvccbHx/PPP/+gKEq+5SleDIqi4ObmxpUrV6Rh8gKwsbHB3d0dCwuLog5FCCGEEMIoFWkD9OHDh1StWpWePXvyxhtv6O179OgRx48fZ+zYsVStWpV79+4xePBgXn/9dY4dO6am69y5M9evX2fHjh2kpKTQo0cP+vbty6pVq/IlRq1Wyz///IONjQ0uLi7SiBB5otPpiI+Px9bW9rGL8opnl6IoJCcnc+vWLS5evIiPj4/cbyGEEEKILBRpA7RFixa0aNEiy30ODg7s2LFDb9v//vc/atasyeXLlylTpgwRERFs3bqVo0ePUqNGDQDmz59Py5YtmTFjhl5P6ZNKSUlBURRcXFywtrZ+6vzEi0Wn05GcnIyVlZU0SJ5z1tbWmJubc+nSJfWeCyGEEEIIfc/UM6CxsbFoNBocHR0BOHToEI6OjmrjEyAkJAQTExPCwsJo165dlvkkJSWRlJSkvo6LiwPSGpuZn/NMb4AqioJOp8vnKxLPu/Rh21J/jFTMqez3uVV5oiwVRSElJQVTU9MnDKpwpb/nyTPuwhhJ/RTGTuqoMGaFWT/zco5npgGamJjIyJEj6dSpE/b29gDExMRQsmRJvXRmZmY4OTkRExOTbV5Tp05l4sSJBtu3b9+OjY2NQX5ubm7Ex8eTnJycD1ciXkQPHjwo6hBEVmy8st/37xdTeZGcnExCQgL79+8nNTX1yeMqAplHnAhhTKR+CmMndVQYs8Kon48ePcp12meiAZqSksLbb7+Noih88cUXT53f6NGjGTZsmPo6Li4OT09PXn31VbVxmy4xMZErV65ga2srQ+pEnimKwoMHD7Czs5Pnh41RPveAJiYmYm1tTYMGDZ6Z94uUlBR27NhB06ZNMTc3L+pwhNAj9VMYO6mjwpgVZv2My8MX90bfAE1vfF66dIndu3frNRDd3Ny4efOmXvrU1FTu3r2Lm5tbtnlaWlpiaWlpsN3c3Nzg5mi1WjQaDSYmJvIM3zOkYcOGBAQEMGfOnFwfM2HCBNavX094eHi+xZE+7Da9Dj1OgwYN6N+/P++8806+xfCi2rt3L40aNeLevXs4OjqydetWRo0axfHjxzPcixxmtn6Cv3cTExM0Gk2W7yXG7lmMWbw4pH4KYyd1VBizwqifecnfqBug6Y3PqKgo9uzZQ4kSJfT2BwUFcf/+ff744w+qV68OwO7du9HpdNSqVatAY9u3b1+B5p9ZcHBwntKHhoayfPly+vXrx5dffqm3b8CAASxcuJDu3buzbNmyfIzyxaPRaPSWD3oaGzZs4MaNG3Ts2PHpA3tGZW405qfmzZszduxYvvvuO7p27ZqveQshhBBCiNwp0i69+Ph4wsPD1R6nixcvEh4ezuXLl0lJSeHNN9/k2LFjfPfdd2i1WmJiYoiJiVGfxfT396d58+b06dOHI0eOcPDgQQYOHEjHjh3zZQbcZ52npyerV68mISFB3ZaYmMiqVasoU6ZMEUaWOy/aM7fz5s2jR48eRt/TrtVqs5xQ6Vm4X6GhocybN6+owxBCCCGEeGEV6SfdY8eOERgYSGBgIADDhg0jMDCQcePGcfXqVTZs2MA///xDQEAA7u7u6s/vv/+u5vHdd9/x0ksv0aRJE1q2bEm9evX4+uuvi+qSjEq1atXw9PTkp59+Urf99NNPlClTRi3zdDqdjqlTp+Lt7Y21tTVVq1blxx9/VPdrtVp69eql7vfz82Pu3Ll6eezdu5eaNWtSrFgxHB0dqVu3LpcuXQLSPvhn7iUcMmQIDRs2VF83bNiQgQMHMmTIEJydnWnWrBkAf/75Jy1atMDW1hZXV1e6du3K7du31eMePnxIt27dsLW1xd3dnZkzZ+aqfKZNm4arqyt2dnb06tWLxMREvf1Hjx6ladOmODs74+DgQHBwMMePH1f3e3l5AdCuXTs0Go36+sKFC7Rp0wZXV1fs7e1p3LgxO3fuzDGWW7dusXv3blq3bq1ui46ORqPR6A0Jvn//PhqNhr179wJpZa7RaNi1axc1atTAxsaGOnXqcO7cOb38f/31V1555RWsrKxwdnbWmyH63r17dOvWjeLFi2NjY0OLFi2IiopS9y9btgxHR0c2bNhAxYoVsbS05PLly3h5efHpp5/SrVs37O3t6du3LwAHDhygfv36WFtb4+npyaBBg3j48KGaX1JSEiNHjsTT0xNLS0sqVKjA4sWLiY6OplGjRgAUL14cjUZDaGgo8Pj6CbB582Z8fX2xtramUaNGREdHG5Rz69atOXbsGBcuXMjxfgghhBBCiIJRpA3Qhg0bqkucZPxZtmwZXl5eWe5TFEWv0eLk5MSqVat48OABsbGxLFmyBFtb26K7KCPTs2dPli5dqr5esmQJPXr0MEg3depUVqxYwZdffsmZM2cYOnQoXbp0UYca63Q6Spcuzdq1azl79izjxo3jo48+Ys2aNUDas7dt27YlODiYU6dOcejQIfr27ZvniXeWL1+OhYUFBw8e5Msvv+T+/fs0btyYwMBAjh07xtatW7lx4wZvv/22esyIESPYt28fv/zyC9u3b2fv3r16DcWsrFmzhgkTJjBlyhSOHTuGu7s7Cxcu1Evz4MEDunfvzoEDBzh8+DA+Pj60bNlSndH26NGjACxdupTr16+rr+Pj42nZsiW7du3ijz/+oEmTJrRp04bLly9nG8+BAwewsbHB398/T+WV7uOPP2bmzJkcO3YMMzMzevbsqe7btGkT7dq1o2XLlpw4cYJdu3ZRs2ZNdX9oaCjHjh1jw4YNHDp0CEVRaNmypd502o8ePWL69OksWrSIM2fOqLNPz5gxg6pVq3LixAnGjh3LhQsXaN68Oe3bt+fUqVP88MMPHDhwgIEDB6p5devWje+//5558+YRERHBV199ha2tLZ6enqxbtw6Ac+fOcf36dfVLjsfVzytXrvDGG2/QunVrwsPD6d27N6NGjTIopzJlyuDq6spvv/32ROUshBBCCCGejlE/AyqeXpcuXRg9erTaE3nw4EFWr16t9qBBWo/UlClT2LlzJ0FBQQCUK1eOAwcO8NVXXxEcHIy5ubne0jXe3t4cOnSINWvW8PbbbxMXF0dsbCyvvfYa5cuXB3iixpSPjw+fffaZ+nrSpEkEBgYyZcoUdduSJUvw9PQkMjISDw8PFi9ezLfffkuTJk2AtEZs6dKlczzPnDlz6NWrF7169VLPs3PnTr1e0MaNG+sd8/XXX+Po6Mi+fft47bXXcHFxAcDR0VFv0quqVatStWpVIK3h/vHHH7NlyxY2bNig1xDL6NKlS7i6uj7x8NvJkyerzwmPGjWKVq1akZiYiJWVFZMnT6Zjx4569y89vqioKDZs2MDBgwepU6cOkDaqwNPTk/Xr1/PWW28Bac9jL1y4UD0uYxl98MEH6uvevXvTuXNnhgwZAqTdz3nz5hEcHMwXX3zB5cuXWbNmDTt27CAkJARIq2vpnJycAChZsqT6DGhu6ucXX3xB+fLl1d5vPz8/Tp8+zfTp0w3KysPDQ/17EEIIIYQQhUsaoM85FxcXWrVqxbJly1AUhVatWuHs7KyX5vz58zx69IimTZvqbU9OTtYbqrtgwQKWLFnC5cuXSUhIIDk5mYCAACCt4RAaGkqzZs1o2rQpISEhvP3227i7u+cp3vTJpNKdPHmSPXv2ZNmrfeHCBTWOjJNOOTk54efnl+N5IiIi6N+/v962oKAg9uzZo76+ceMGY8aMYe/evdy8eROtVsujR49y7MmEtB7QCRMmsGnTJq5fv05qaioJCQk5HpeQkPBUy3ZUqfLfkiHpZX7z5k3KlClDeHg4ffr0yfK4iIgIzMzM9MqvRIkS+Pn5ERERoW6zsLDQO0e6GjVq6L0+efIkp06d4rvvvlO3KYqCTqfj4sWLnD59GlNT0zxNqpWb+hkREWEw8Vh6YzUza2vrPK1VJYQQQggh8o80QF8APXv2VHveFixYYLA/Pj4eSBuqWapUKb196cvVrF69muHDhzNz5kyCgoKws7Pj888/JywsTE27dOlSBg0axNatW/nhhx8YM2YMO3bsoHbt2piYmKAo+kteZBzima5YsWIGsbVu3TrLnix3d3fOnz+fmyJ4It27d+fOnTvMnTuXsmXLYmlpSVBQ0GMn2xk+fDg7duxgxowZlCtXDq1WS8+ePXM8ztnZmXv37ultS+8NzVhuWZUZ6E99nT7sOX2iIGtr6xzjzQ1ra+ssh1Nndb/69evHoEGDDNKWKVPmie5XbupnXty9e1ftvRZCCCGEEIVLGqAvgObNm5OcnIxGo1En9sko48Qy2fVMpQ/RfO+999RtWU3kkj6p1OjRowkKCmLVqlXUrl0bFxcX/vzzT7204eHhj10zqFq1aqxbtw4vLy/MzAyra/ny5TE3NycsLEyd2ffevXtERkbm2Mvm7+9PWFgY3bp1U7cdPnzY4JoXLlxIy5YtgbTnDDNOfgRpDT+tVmtwXGhoKO3atUOn03Ht2rUsJ8TJKDAwkJiYGO7du0fx4sUB1EbS9evX1Z6+J1mjtEqVKuzatSvLZ3/9/f1JTU0lLCxMHYJ7584dzp07R8WKFfN8rmrVqnH27FkqVKiQ5f7KlSuj0+nYt2+fOgQ3IwsLCwC9Ms1N/fT392fDhg162zLfT0ibBfrChQsGk3AJIYQQQojCYdzrPYh8YWpqSkREBGfPnsXU1NRgv52dHcOHD2fo0KEsX76cCxcucPz4cebPn8/y5cuBtGf5jh07xrZt24iMjGTs2LHqpDuQtoTO6NGjOXToEJcuXWL79u1ERUWpz4E2btyYY8eOsWLFCqKiohg/frxBgzQrAwYM4O7du3Tq1ImjR49y4cIFtm3bRo8ePdBqtdja2tKrVy9GjBjB7t27+fPPPwkNDX3ss5SDBw9myZIlLF26lMjISMaPH8+ZM2f00vj4+LBy5UoiIiIICwujc+fOBr2JXl5e7Nq1S208ph/3008/ER4ezsmTJ+nTp0+Wy5ZkFBgYiLOzMwcPHlS3WVtbU7t2baZNm0ZERAT79u1jzJgxjy2zzMaPH8/333/P+PHjiYiI0Hs20sfHhzZt2tCnTx8OHDjAyZMn6dKlC6VKlaJNmzZ5PtfIkSP5/fffGThwIOHh4URFRfHLL7+oPfBeXl50796dnj17sn79ei5evMjevXvVyazKli2LRqNh48aN3Lp1i/j4+FzVz/79+xMVFcWIESM4d+4cq1atynKN28OHD6s92UIIIYQQoggoQomNjVUAJTY21mBfQkKCcvbsWSUhIaEIInty3bt3V9q0aZPt/jZt2ijdu3dXX+t0OmXOnDmKn5+fYm5urri4uCjNmjVT9u3bpyiKoiQmJiqhoaGKg4OD4ujoqLz77rvKqFGjlKpVqyqKoigxMTFK27ZtFXd3d8XCwkIpW7asMm7cOEWr1arnGDdunOLq6qo4ODgoQ4cOVQYOHKgEBwer+4ODg5XBgwcbxBoZGam0a9dOcXR0VKytrZWXXnpJGTJkiKLT6RRFUZQHDx4oXbp0UWxsbBRXV1fls88+yzavjCZPnqw4Ozsrtra2Svfu3ZUPP/xQvR5FUZTjx48rNWrUUKysrBQfHx9l7dq1StmyZZXZs2eraTZs2KBUqFBBMTMzU8qWLasoiqJcvHhRadSokWJtba14enrmOp4PP/xQ6dixo962s2fPKkFBQYq1tbUSEBCgbN++XQGUPXv2KIqiKHv27FEA5d69e+oxJ06cUADl4sWL6rZ169YpAQEBioWFheLs7Ky88cYb6r67d+8qXbt2VRwcHBRra2ulWbNmSmRkpLp/6dKlioODg0G8mcsi3ZEjR5SmTZsqtra2SrFixZQqVaookydPVvcnJCQoQ4cOVetKhQoVlCVLlqj7P/nkE8XNzU3RaDRqHX1c/VQURfn111+VChUqKJaWlkr9+vWVJUuWGJRN3759lX79+v0X7NXj2f88gWfx/SI5OVlZv369kpycXNShCGFA6qcwdlJHhTErzPqZU3sqM42iZHow7wUUFxeHg4MDsbGx2Nvb6+1LTEzk4sWLeHt7P9UkMeLFpNPpiIuLw97e/rG9sjExMVSqVInjx49TtmzZQorwxXH79m38/Pw4duwY3t7eaRuvncj+AI+8D9N9Ft8vUlJS2Lx5My1btnzskHghCpvUT2HspI4KY1aY9TOn9lRm8gyoEEbCzc2NxYsXc/ny5fxtgOZzI+tZFR0dzcKFC/9rfAohhBBCiEInDVAhjEjbtm2LOoTnVo0aNQyWjRFCCCGEEIVLJiESQgghhBBCCFEopAEqhBBCCCGEEKJQSANUCCGEEEIIIUShkGdAxYtHJuURQgiRkwkOOeyLLbw4hDBm8ncinpA0QIUQQoicPkjBi/1hSj5kCiGEyEcyBFcIIYQQQgghRKGQHlAhhBBCCFE0pIddiBeONECfkNeoTYV6vuhprQr1fM+6hg0bEhAQwJw5c3J9zISZX7J+Vxjh4eEFFtfjNGjQgP79+/POO+8AoNFo+Pnnn7NdHzQ6Ohpvb29OnDhBQEBA4QX6AvDy8mLIkCEMGTKE5ORkfH19+fHHH2UtUSGEEEKIpyBDcJ9ToaGhaDQa+vfvb7BvwIABaDQaQkNDCz+w54xGo2H9+vX5kteGDRu4ceMGHTt2zPUxnp6eXL9+nZdffjlfYnjWeXl55elLh9yysLBg+PDhjBw5Mt/zFgVsgkP2P0IIkV+mlpb3GiFySRqgzzFPT09Wr15NQkKCui0xMZFVq1ZRpkyZIowsd5KTk4s6hEI1b948evTogYlJ7v8sTU1NcXNzw8zs2RnMkJKSYrDtWbjXnTt35sCBA5w5c6aoQxFCCCGEeGZJA/Q5Vq1aNTw9Pfnpp5/UbT/99BNlypQhMFB/uRGdTsfUqVPx9vbG2tqaqlWr8uOPP6r7tVotvXr1Uvf7+fkxd+5cvTz27t1LzZo1KVasGI6OjtStW5dLly4BaT2ymYeRDhkyhIYNG6qvGzZsyMCBAxkyZAjOzs40a9YMgD///JMWLVpga2uLq6srXbt25fbt2+pxDx8+pFu3btja2uLu7s7MmTNzVT7T/rcU16oh2PnWo9cHE0lM0m8EHT16lKZNm+Ls7IyDgwPBwcEcP35c3e/l5QVAu3bt0Gg06usLFy7Qpk0bXF1dsbe3p3HjxuzcuTPHWG7dusXu3btp3bq1wb7r16/TokULrK2tKVeunN59iY6ORqPRqMOGs7xPi1bp5bf392PUbNWVYhXqGNynrPzzzz906tQJJycnihUrRo0aNQgLC1P3f/HFF5QvXx4LCwv8/PxYuXKl3vEajYYvvviC119/nWLFijF58mQmTJhAQEAAixYtwtvbGysrKwDu379P7969cXFxUcvu5MmTevn9+uuvvPLKK1hZWeHs7Ey7du2AtPpz6dIlhg4dikajQaPRqMccOHCA+vXrY21tjaenJ4MGDeLhw4fq/pu379K6+2CsywfhXfs1vvtps0E5FC9enLp167J69epsy0oIIYQQQuRMGqDPuZ49e7J06VL19ZIlS+jRo4dBuqlTp7JixQq+/PJLzpw5w9ChQ+nSpQv79u0D0hqopUuXZu3atZw9e5Zx48bx0UcfsWbNGgBSU1Np27YtwcHBnDp1ikOHDtG3b1+9RkBuLF++HAsLCw4ePMiXX37J/fv3ady4MYGBgRw7doytW7dy48YN3n77bfWYESNGsG/fPn755Re2b9/O3r179RqKWVmzYTsTZn3FlFEDObb5W9xLOrNw+Vq9NA8ePKB79+4cOHCAw4cP4+PjQ8uWLXnw4AGQ1kAFWLp0KdevX1dfx8fH07JlS3bt2sUff/xBkyZNaNOmDZcvX842ngMHDmBjY4O/v7/BvrFjx9K+fXtOnjxJ586d6dixIxEREVnmk+V9mvY/1mzYDvx7n3oNI7h2NU7t/OGx9yk+Pp7g4GCuXr3Khg0bOHnyJB9++CE6nQ6An3/+mcGDB/PBBx/w559/0q9fP3r06MGePXv08pkwYQLt2rXj9OnT9OzZE4Dz58+zbt06fvrpJ7UB/dZbb3Hz5k22bNnCH3/8QbVq1WjSpAl3794FYNOmTbRr146WLVty4sQJdu3aRc2aNYG0L1dKly7NJ598wvXr17l+/TqQ9oVA8+bNad++PadOneKHH37gwIEDDBw4UI0vdOh4rly7wZ41X/Hj15+xcPlabt68aVAeNWvW5Lfffsv6Jj4rMg8Nm1o6bXv6v0IIIYQQBejZGbcnnkiXLl0YPXq02sN18OBBVq9ezd69e9U0SUlJTJkyhZ07dxIUFARAuXLlOHDgAF999RXBwcGYm5szceJE9Rhvb28OHTrEmjVrePvtt4mLiyM2NpbXXnuN8uXLA2TZmHocHx8fPvvsM/X1pEmTCAwMZMqUKeq2JUuW4OnpSWRkJB4eHixevJhvv/2WJk2aAGmN2NKlc/4wPWfRKnp1bEOvTm3TzjNyADt/CyNR91+axo0b6x3z9ddf4+joyL59+3jttddwcXEBwNHRETc3NzVd1apVqVq1KpDWIPz444/ZsmULGzZs0Gv0ZHTp0iVcXV2zHH771ltv0bt3bwA+/fRTduzYwfz581m4cKFB2izv084NrPl1B2+//ipxDx4SGxfPayENKO/lCR7+Od6nVatWcevWLY4ePYqTkxMAFSpUUPfPmDGD0NBQ3nvvPQCGDRvG4cOHmTFjBo0aNVLTvfPOOwZffCQnJ7NixQq1HA8cOMCRI0e4efMmlpaWav7r16/nxx9/pG/fvkyePJmOHTvqXWN6WTs5OWFqaoqdnZ3e/Zg6dSqdO3dmyJAhQFodmzdvHsHBwXwxth+Xr8awZfdBjmxaySsBlQBYPHMc/sHtDcrDw8Mjx95iIYQQQgiRM2mAPudcXFxo1aoVy5YtQ1EUWrVqhbOzs16a8+fP8+jRI5o2baq3PTk5WW+o7oIFC1iyZAmXL18mISGB5ORkdeZVJycnQkNDadasGU2bNiUkJIS3334bd3f3PMVbvXp1vdcnT55kz5492NraGqS9cOGCGketWrXU7U5OTvj5+eV4nojzF+nf9U29bUHVq7Dn6H/P9924cYMxY8awd+9ebt68iVar5dGjRzn2ZEJar+GECRPYtGkT169fJzU1lYSEhByPS0hIUIehZpb+pUDG1znN1Gt4n5IIqJRWHk7FHQh9uzXNOg+gaf1ahLzWPsf7FB4eTmBgoNr4zCwiIoK+ffvqbatbt67B8OysZo4tW7as2viEtHsdHx9PiRIl9NIlJCRw4cIFNZ4+ffpke+1ZOXnyJKdOneK7775TtymKgk6n4+KVq0T+fRkzMzOqV/mvIf5SBW8cHR0N8rK2tubRo0d5Or8QQgghhPhPkQ7B3b9/P61bt8bDwyPL2UQVRWHcuHG4u7tjbW1NSEgIUVFRemnu3r1L586dsbe3x9HRkV69ehEfH1+IV2H8evbsybJly1i+fLk6/DGj9PLatGkT4eHh6s/Zs2fV5w1Xr17N8OHD6dWrF9u3byc8PJwePXroTR6zdOlSDh06RJ06dfjhhx/w9fXl8OHDAJiYmKAoit55s5qMplixYgaxtW7dWi+u8PBwoqKiaNCgwdMVzGN0796d8PBw5s6dy++//054eDglSpR47IQ5w4cP5+eff2bKlCns27eP/fv3U7ly5RyPc3Z25t69e08dc5b36e3XSU7+r6yXzp7IoQ3LqFOjqsF9ysza2vqpYwLD+5rVtvj4eNzd3Q3u9blz5xgxYsQTxxMfH0+/fv308jx58iRRUVGUL+uZp7zu3r2r12gWQgghhBB5U6QN0IcPH1K1alUWLFiQ5f7PPvuMefPm8eWXXxIWFkaxYsVo1qwZiYmJaprOnTtz5swZduzYwcaNG9m/f79Bj8yLrnnz5iQnJ5OSkqJO7JNRxYoVsbS05PLly1SoUEHvx9Mz7QP6wYMHqVOnDu+99x6BgYFUqFBB7ZXKKDAwkNGjR/P777/z8ssvs2pV2gQ4Li4u6jN56XKz3ma1atU4c+YMXl5eBrEVK1aM8uXLY25urjcpzr1794iMjMwxX/8K3oSdOK237fBx/dcHDx5k0KBBtGzZkkqVKmFpaak3+RGkDXnVarUGx4WGhtKuXTsqV65MyZIliY6OzjGewMBAYmJismyEZm4cHj58ONths1nep0v/GJ7v5ZcY/X5Pg/uUWZUqVQgPD1efwczM39+fgwcPGsRQsWLFLNPnpFq1asTExGBmZmZwr9N77atUqcKuXbuyzcPCwsLgflSrVo2zZ88a5FmhQgUsLMx5qbwXqamp/HHqv+dqz52P5v79+wb5//nnnwYTeAkhhBBCiNwr0iG4LVq0oEWLFlnuUxSFOXPmMGbMGNq0aQPAihUrcHV1Zf369epELFu3buXo0aPqEL/58+fTsmVLZsyYgYeHR5Z5JyUlkZSUpL6Oi4sD0nrkMvfKpaSkqMP10ideKQp5PbeiKGrcGo1GXTpCo9Gg0+n09hcrVowPPviAoUOHkpqaSr169YiNjeX333/Hzs6O7t27U6FCBVasWMGWLVvw9vbm22+/5ejRo3h7e6cNZbx4kW+++Ubt0T537hxRUVF06dIFnU5Hw4YN+fzzz1m2bBlBQUF899136of5jNeWHlO6d999l2+++YaOHTsyYsQInJycOH/+PD/88APffPMNNjY29OzZkxEjRlC8eHFKlizJmDFj1B7XrMtNw/u93qHnsPFUq1qJujUCWPXzZs5E/k258hXUY3x8fFixYgXVqlUjLi6OkSNHYm1trZevl5eX+uyspaUlxYsXp0KFCvz000+0atUKgI8//lgt8+zuY9WqVXF2dua3337jtdde09u3du1aqlWrRr169Vi1ahVHjhzhm2++0auT6b9neZ9OnsXb0wMdGi5evso3362jddNgPNxcOHfqht59yqxDhw5MmTKFtm3bMnnyZNzd3Tlx4gQeHh4EBQXxwQcf0LFjR6pWrUpISAgbN27kp59+Yvv27Xr5Zf77Se8Nz7itcePGBAUF0bZtW6ZNm4avry/Xrl1j8+bNtG3blho1ajB27FiaNm1KuXLl6NChA6mpqWzZsoUPP/wQSBvWu2/fPt5++20sLS1xdnZmxIgR1KlThwEDBtCrVy+KFSvG2bNn2blzJ/M/7oNPBW+aNapDv5GTWTD1I8zMTBk2fob+vY45BcBve3cxccR76K6F/1dIblX0rlNRFFJSUjA1Nc3yXhc5E/2h3in/vk4xsYIsRiU880yyHtoO6F9vTukyp33R5LYMC0D6/8lZjZgpUEV4zS+cZ7ys1Tr6jF/HE3kRr/kZU5jvoXk5h9E+A3rx4kViYmIICQlRtzk4OFCrVi0OHTpEx44dOXToEI6OjnrPl4WEhGBiYkJYWJi6PENmU6dO1ZvEJN327duxsbHR22ZmZoabmxvx8fF6QyjDR9V92kvMk/RGcm6lpKSQmppqcFz669TUVFJSUtTXw4cPx87OjqlTpxIdHY2DgwNVq1Zl6NChxMXF0bFjR44cOULHjh3RaDS0b9+enj17snPnTuLi4tBqtfz5558sX76cu3fv4urqSq9evejUqRNxcXEEBQUxYsQIRo4cSWJiIl26dKFDhw6cPXtWL6bk5GS9mG1tbdmyZQsTJkygWbNmJCcn4+npSZMmTYiPj0ej0TBmzBju3btHmzZtsLW1ZcCAAdy9e9cgL5WNFy069WP4tXhGTp5PUlISrVu3pkfPXuzevVs9Zs6cOQwZMoQaNWpQqlQpxo4dS3R0NImJiWqaiRMnMmbMGBYtWoS7uzunTp1i4sSJDBw4kHr16uHk5MTgwYN58OBB9vH8q1OnTixfvtxgaPHIkSNZtWoVAwcOxNXVlUWLFlG6dGni4uLU4dMPHz7M/j716p12n2y80DrZ8OfFmyzvNyrL+5SVtWvXMnbsWFq1aoVWq8XPz4/PP/+cuLg4GjduzNSpU5kxYwZDhw6lbNmy/O9//1Mb7ekSEhL0XiclJaHVag3OuWrVKiZNmkTPnj25ffs2JUuWpE6dOtjY2BAXF0e1atVYtmwZn3/+OdOnT8fOzo46deqo+Xz44YcMHToUHx8fkpKSuHfvHl5eXmzcuJFJkyYRHByMoih4eXnRrl074my8AJj7xRIGDRpEozf74OLiwscff8ylKVP+u9c2Xhw5coT7Dx7x6lu9iMs4FDjDNSQnJ5OQkMD+/ftJTU3N9l4XqapfZ7l5R+V5sNlw+ZlnXjbXC+hfb07pMqd90eS2DAvQjh07CuU8KiO45hfGc1LWOyrPy37nM3QdefKc3LsXQWG8h+ZljgyNkvnBvCKi0Wj4+eef1bUif//9d+rWrcu1a9f0Jkh5++230Wg0/PDDD0yZMoXly5dz7tw5vbxKlizJxIkTeffdd7M8V1Y9oJ6enty+fRt7e3u9tImJiVy5cgUvL69sJ4kRz5h/e7OylKE3Kz8oisKDBw+ws7N77JI0MTExVK5cmWPHjlG2bNn8C6IQr/eZk9uyiTlFx/4jqVrRl9GDemWbLjExkejoaDw9PY33/SLTcispJlbsqDyPpqcHYT7yfBEFVYByWl5m9D+5S5eXtKMNh7w/84rwelNSUtixYwdNmzbF3Ny8QM+l50W7x0XpGS9rtY6eHoS5LjHrRM/AdTyRZ/zevQgK8z00Li4OZ2dnYmNjDdpTmRltD2hBsrS0VJd5yMjc3Nzg5mi1WjQaDSYmJlkukSGeRTl855LP9zh9iGl6HcpJ+pIy//zzD97e3vkYReFd77Mnd2WTnJxMlZcqMKzPO5hkPiZDOhMTEzQaTZbvJUYjmw9I5rpE4435aWT3gRAg4/XmlC4vaV/kMixAhf43ZQTX/MJ4TsraXJeYfQP0GbqOPHlO7t2LoDDeQ/OSf54/fS5fvpxNmzaprz/88EMcHR2pU6dOvq6Pl76O340bN/S237hxQ93n5uZmsFh8amoqd+/e1VsHUIhnRdu2balfv35RhyEysbAwZ8yQ3lhbG2mvphBCCCHEMyLPPaBTpkzhiy++AODQoUMsWLCA2bNns3HjRoYOHcpPP/2UL4F5e3vj5ubGrl271LUm4+LiCAsLU4fWBgUFcf/+ff744w91/cjdu3ej0+n01oUUiIvtzgAAPNhJREFUQgghRAGb4JDDvtjCiyMn+R3js3DNRUXK5tkl904UsDw3QK9cuUKFChUAWL9+Pe3bt6dv377UrVuXhg0b5imv+Ph4zp//75mjixcvEh4ejpOTE2XKlGHIkCFMmjQJHx8fvL29GTt2LB4eHupzov7+/jRv3pw+ffrw5ZdfkpKSwsCBA+nYsWO2M+AKIZ7eqX/uZ7uvSmnHQotDGAH5oCKEEEKIPMhzA9TW1pY7d+5QpkwZtm/fzrBhwwCwsrIiISEhT3kdO3aMRo0aqa/T8+revTvLli3jww8/5OHDh/Tt25f79+9Tr149tm7dqje5x3fffcfAgQNp0qQJJiYmtG/fnnnzcpiJTAghhBBCCCFEkchzA7Rp06b07t2bwMBAIiMjadmyJQBnzpzBy8srT3k1bNiQnCbh1Wg0fPLJJ3zyySfZpnFycmLVqlV5Oq8Q4ulUMbmYw97AgjvxtRPZ7/MowPMKIYQQQoh8kedJiBYsWEBQUBC3bt1i3bp1lChRAoA//viDTp065XuAQgghhBBCCCGeD3nuAY2Li2PevHkGS0pMmDCBK1eu5FtgQgghhBBCvLDkGXvxnMpzD6i3tze3b9822H737t18XrtQCCGEEEIIIcTzJM89oNk9sxkfH683OdBzL6dvpQrkfPJNV2HTaDT8/PPPtG3blujoaLy9vTlx4oS6LFBe5UceQgghhBBCPMty3QBNn6FWo9Ewbtw4bGxs1H1arZawsDD5UG1EQkNDWb58ucH2qKgoKlSoQGhoKPfv32f9+vVZHp+QkMC0adP4/vvvuXTpEnZ2djRq1IgJEyZQqVIlNd2ECROYOHEiACYmJnh4eNCiRQumTZuGk5OTms7Ly4shQ4YwZMgQAE6ePMnYsWM5fPgwcXFxuLm5UatWLebPn0/JkiWf7KILcIIaT09Prl+/jrOzc67Sp5dvxnVx85qHEHkiQ7WEEOLZIO/X4gWX6wboiRNpH+4VReH06dNYWFio+ywsLKhatSrDhw/P/wjFE2vevDlLly7V2+bi4vLY45KSkggJCeHy5cvMnDmTWrVqcePGDaZOnUqtWrXYuXMntWvXVtNXqlSJnTt3otVqiYiIoGfPnsTGxvLDDz9kmf+tW7do0qQJr732Gtu2bcPR0ZHo6Gg2bNjAw4cPn+6iM0lJScHc3Pyp8zE1NcXNza3I8xBCCCGEEOJZlusG6J49ewDo0aMHc+fOxd7evsCCEvnD0tLyiRo8c+bM4dChQ5w4cYKqVasCULZsWdatW0etWrXo1asXf/75JxqNBgAzMzP1PKVKleKtt94yaPhmdPDgQWJjY1m0aBFmZmlV0NvbW29N2Kx4eXnRq1cvzp49y4YNG3B0dOSjjz5iwIABahpNqWosnDKaLXsOsuvAEUa8240JH/Tnl19+YeLEiZw9exYPV2e6v/UaHw/qpZ4/6u/L9Bo+kSPhZylXrhxz587VO3dWw2fPnDnDyJEj2b9/P4qiEBAQwLJly1i5cqXa+2xqagrArl27KFeunEEe+/btY8SIEZw8eRInJye6d+/OpEmT1LgaNmxIlSpVsLKyYtGiRVhYWNC/f38mTJiQY1k9EVniRAghni+Pe1xIetuEEEUgz8+A5tSwEM+HVatW0bRpU7Xxmc7ExIShQ4fSuXNnTp48meWQ6+joaLZt26bXQ56Zm5sbqamp/Pzzz7z55ptqQzY3Pv/8cz766CMmTpzItm3bGDx4ML6+vjRt2lRNM2HWV0z76H3mTByOmZkpv4Udp1voMObNm0f9+vW5cGQbfT+cBMD4Yf3Q6XS80Wc4rs5OhIWFERsbqw4Vzs7Vq1dp0KABDRs2ZPfu3djb23Pw4EFSU1MZPnw4ERERxMXFsXjxYh48eEDZsmWJiYkxyKNly5aEhoayYsUK/vrrL/r06YOVlZVeA3P58uUMGzaMsLAwDh06RGhoKHXr1qVppRyG8kqDUQghhMieDIMVosjkuQH68OFDpk2bxq5du7h58yY6nU5v/99//51vwYmns3HjRmxtbdXXLVq0YO3atY89LjIyMtveSH9/fzVNegP09OnT2NraotVqSUxMBGDWrFnZ5l+7dm0++ugj3nnnHfr370/NmjVp3Lgx3bp1w9XVNcfY6taty6hRowDw9fXl4MGDzJ49W68B+k7b5vTo0EZ93XPYREaNGkX37t0BKGdVm09HvMuHk+cyflg/dv4Wxl/no9n23QI8/m10T5kyhRYtWmQbx4IFC3BwcGD16tXqEF9fX191v7W1NUlJSbi5uWFjY5Nlg3zhwoV4enryv//9D41Gw0svvcS1a9cYOXIk48aNU5c6qlKlCuPHjwfAx8eH//3vf+zatYumlTrkWFZCCCGEEEIYmzw3QHv37s2+ffvo2rUr7u7ueeq9EoWrUaNGfPHFF+rrYsWK5frY7GY7zoqfnx8bNmwgMTGRb7/9lvDwcN5///0cj5k8eTLDhg1j9+7dhIWF8eWXXzJlyhT2799P5cqVsz0uKCjI4PWcOXP0ttWoWlHv9cmzkRw89gmTJ0/+9+J0aHU6EhOTeJSQQETURTw9XPFw++/52MznySw8PJz69es/1fOlERERBAUF6f0N1a1bl/j4eP755x/KlCkDpDVAM3J3d+fmzZtPfF4hckV6B4QQQt4LhSgAeW6AbtmyhU2bNlG3bt2CiEfko2LFilGhQoU8H+fr60tERESW+9K3Z+zts7CwUM8zbdo0WrVqxcSJE/n0009zPE+JEiV46623eOutt5gyZQqBgYHMmDEjy9l786KYjbXe6/hHCUyc+AlvvPFG2oYbZ9R9VpaWT3QOa2vrxyfKJ5kbuRqNxmDkgRBCCCGEEM+CPDdAixcvrre8hnj+dOzYkY8//piTJ0/qPQeq0+mYPXs2FStWNHg+NKMxY8bQuHFj3n33XTw8PHJ1TgsLC8qXL//YWXAPHz5s8Dp9WHB2qr38EufOnfuvMW7zQG+/v483V67d4PqNW7h7ZH2ezKpUqcLy5cuznWXXwsICrVabYx7+/v6sW7cORVHUXtCDBw9iZ2dH6dKlczxWPIZMqCSEEHkjPX1CiEJiktcDPv30U8aNG8ejR48KIh5RiGJjYwkPD9f7uXLlCkOHDqVmzZq0bt2atWvXcvnyZY4ePUr79u2JiIhg8eLFOQ69DgoKokqVKkyZMiXL/Rs3bqRLly5s3LiRyMhIzp07x4wZM9i8eTNt2rTJ8ph0Bw8e5LPPPiMyMpIFCxawdu1aBg8enOMx44b2YcWKFUycOJEzZ84QEfU3q3/ZxpjpCwAIqV8L33Jl6D5kPCdPnuS3337j448/zjHPgQMHEhcXR8eOHTl27BhRUVGsXLmSc+fOAWkz9p46dYpz585x584dUlJSDPJ47733uHLlCu+//z5//fUXv/zyC+PHj2fYsGHq859CCCGEEEI8T/LcAzpz5kwuXLiAq6srXl5eBr0/x48fz7fgjNpz8G3g3r17CQzU7w3q1asXixYtYvfu3UyZMoWPPvqIS5cuYWdnR6NGjTh8+DAvv/zyY/MeOnQooaGhjBw5Ek9PT719FStWxMbGhg8++IArV65gaWmJj48PixYtomvXrjnm+8EHH3Ds2DEmTpyIvb09s2bNolmzZjke06xhHTZu3Mgnn3zC9OnTMTcz5aUKXvTu1BZIm93350Uz6TV8IjVr1sTLy4t58+bRvHnzbPMsUaIEu3fvZsSIEQQHB2NqakpAQIA6NL1Pnz7s3buXmjVrEh8fry7DklGpUqXYvHkzI0aMoGrVqjg5OdGrVy/GjBmT4/UIIYQQQgjxrMpzA7Rt27YFEIbIb8uWLXvs/pzS2NjYMGnSJCZNmpRjPhMmTMhyTcqOHTvSsWNH9XV0dLT6e7ly5fj6669zzDc79vb2rFmzJtv9ytWsvwBp1qzZfw3VLIZn+pYvy28/L9Ebnqnmde0EXhbpr5W04z0CqVKlCtu2bcvyfC4uLmzfvh2dTkdcXBz29vaYmJgYTO4UHBzMkSNHsr2evXv3Gmxbv359ttchhDAiMqQxa7I2pRBCvNDy3ABNXw5CCCGEEEIIIYTIizw3QIUQQgghjIr0NhceKWshxFPKVQPUycmJyMhInJ2dKV68eI4T0Ny9ezffghMio4zDeIUQQmRDGgjGR+6JEEKoctUAnT17NnZ2dgDMmTOnIOMRQgghhBBCCPGcylUDtHv37ln+/iLJPHmMEEJkJu8ThUh6lMSLTOq/EOIZ9kTPgGq1WtavX09ERAQAlSpV4vXXX8fU1DRfgzMG6deUnJyMtbV1EUcjhDBm6esjZ16eSgghhBBCpMlzA/T8+fO0bNmSq1ev4ufnB8DUqVPx9PRk06ZNlC9fPt+DLEpmZmbY2Nhw69YtzM3NMTExKeqQRHZSc+h9SkwsuHQ50Ol0JCcnk5iYmP91pyivNx/K5okU1TU/Jp2iKDx69IibN2/i6Oj4XH4ZJ4QQQjwR6bEXmeS5ATpo0CDKly/P4cOHcXJyAuDOnTt06dKFQYMGsWnTpnwLTqvVMmHCBL799ltiYmLw8PAgNDSUMWPGqBMhKYrC+PHj+eabb7h//z5169bliy++wMfHJ19i0Gg0uLu7c/HiRS5dupQveYoCcv9W9vseXiy4dDlQFIWEhASsra1znLxLz/3L2e9zLJP3+ArievOhbJ5IUV1zLtM5Ojri5uaWfVohhBBPRhoxQjw38twA3bdvn17jE6BEiRJMmzaNunXr5mtw06dP54svvmD58uVUqlSJY8eO0aNHDxwcHBg0aBAAn332GfPmzWP58uV4e3szduxYmjVrxtmzZ7GyssqXOCwsLPDx8SE5OTlf8hMF5H9vZb9v4LGCS5eDlJQU9u/fT4MGDXI/LLOoriMv15sPZfNEjLhszM3NpedTCCGEEOIx8twAtbS05MGDBwbb4+PjsbCwyJeg0v3++++0adOGVq1aAeDl5cX333/PkSNHgLTepTlz5jBmzBjatGkDwIoVK3B1dWX9+vV07Ngxy3yTkpJISkpSX8fFxQFpjYWUlJRs45EPl0Vgaumc94/+57/fH+XQS5Xx3uV3uhzodDpSU1MxNTXNff0pquvIy/XmQ9k8ESMuG51Oh06nyz5dQTPJ4Qu3jO9rmdKl/Ps6xcQqx3S5zS/bdPktv+PLKV1B5GkMZZPT+2vG99YiLOv0/5Nz+r85385tDOly61mo1y9CGWb43JiSl/iel/cQY78Okfv30Hw8V25olDxO29itWzeOHz/O4sWLqVmzJgBhYWH06dOH6tWrs2zZsjwFm5MpU6bw9ddfs337dnx9fTl58iSvvvoqs2bNonPnzvz999+UL1+eEydOEBAQoB4XHBxMQEAAc+fOzTLfCRMmMHHiRIPtq1atwsbGJt/iF0IIIYQQQojn3aNHj3jnnXeIjY3F3t4+x7R57gGdN28e3bt3JygoSB1SmJqayuuvv55tg+9JjRo1iri4OF566SVMTU3RarVMnjyZzp07AxATEwOAq6ur3nGurq7qvqyMHj2aYcOGqa/j4uLw9PTk1VdffWyBiUKWlx7Q3H6bn9/pcpCSksKOHTto2rRp7ofgFtV15OV686FsnsizUDb5qRDqf4qJFTsqz6Pp6UGYjzz/1Pk9dbrcKsz4CiLPF/nvJA9lnev3UGO8FmOv/3lJ+yyly618Oq9aR08PwlyXzSR8T/p/6DNeNnlOJ/LdE30OfULpI0pzI88NUEdHR3755RfOnz+vLsPi7+9PhQoV8prVY61Zs4bvvvuOVatWUalSJcLDwxkyZAgeHh5PtR6ppaUllpaWBtvNzc1l+QRjk92bebqM9yuntAWZLhfyVLeK6jrycr35WDZ58iyUTX4qxPpvrkvUr6NFVYa5nWikMOMriDxf5L+TvJS1uukx76HGeC0FWReehXr9IpRhhnTmusTsG6BP+n/oi/D+Kp+7C0VhtHHykn+uG6A6nY7PP/+cDRs2kJycTJMmTRg/fnyBro05YsQIRo0apT7LWblyZS5dusTUqVPp3r27OtvkjRs3cHd3V4+7ceOG3pBcIYQQQgghhBBFL9cN0MmTJzNhwgRCQkKwtrZm7ty53Lx5kyVLlhRYcI8ePTJYO9HU1FSd6MPb2xs3Nzd27dqlNjjj4uIICwvj3XffLbC4hBAiS7JMgChIUr+EEEI8B3LdAF2xYgULFy6kX79+AOzcuZNWrVqxaNEig0ZifmndujWTJ0+mTJkyVKpUiRMnTjBr1ix69uwJpK3ROWTIECZNmoSPj4+6DIuHhwdt27YtkJiEEHkgH5iFEEIIIUQGuW6AXr58mZYtW6qvQ0JC0Gg0XLt2jdKlH/OQ+xOaP38+Y8eO5b333uPmzZt4eHjQr18/xo0bp6b58MMPefjwIX379uX+/fvUq1ePrVu35tsaoEIIIYQQQggh8keuG6CpqakGjTpzc/MCXVfGzs6OOXPmMGfOnGzTaDQaPvnkEz755JMCi0OIHOXUy/fx7cKLQwghhBDiWSWjpl4YuW6AKopCaGio3uyxiYmJ9O/fn2LFiqnbfvrpp/yNUAghhBBCCCHEcyHXDdCslj3p0qVLvgYjXiAv4rdcL+I1CyGEEEIIkUGuG6BLly4tyDiEEEIIIYQQQjznCmb6WiGEEEIIIYQQIpNc94AKIYQQQhSqqaWh6tdp/+oS9ffJowtCvJjkkaZnnvSACiGEEEIIIYQoFNIDKoQQQhQl+TZfCCHECyRXDdBq1aqxa9cuihcvzieffMLw4cOxsbEp6NiEEC8K+QAuhBDyXiiEeCHkaghuREQEDx8+BGDixInEx8cXaFBCCCGEEEIIIZ4/ueoBDQgIoEePHtSrVw9FUZgxYwa2trZZph03bly+BiiEEEIIIYQQ4vmQqwbosmXLGD9+PBs3bkSj0bBlyxbMzAwP1Wg00gAVQgghhBBCCJGlXDVA/fz8WL16NQAmJibs2rWLkiVLFmhgQgghhBBCCCGeL3meBVen0xVEHEIIIYQQQgghnnNPtAzLhQsXmDNnDhEREfD/9u49usY73+P4Z4edG5K4hERdGpepGuquTXUQl0RX26Gc3pge1NJWY5C0RaaHqpkelw7T6lHaHkVnVduh1Y72iCEiBpGGMlU0rdAyQ2IqJIgkm/zOH2rXlovs2Nl7Z3u/1spant/z3b/f93ny82xfz01Sx44dNXnyZLVt29alyQEAAAAAfIfTBeiGDRv061//Wl27dlWfPn0kSdu3b9cvf/lLrVu3ToMHD3Z5kgDgU3jVAgAAuEk5XYBOnz5dCQkJmjt3bpn2adOmUYACAAAAAMpVpfeAXu3gwYMaN25cmfYnnnhCBw4ccElSAAAAAADf43QBGh4err1795Zp37t3L0/GBQAAAABUyOlLcMePH68nn3xShw8f1t133y3p8j2g8+bNU2JiossTBAAAAAD4BqcL0BkzZqhBgwZasGCBkpKSJEnNmzfXrFmzNGnSJJcnCAAAAFQJD3kDvJ7TBajFYlFCQoISEhJ09uxZSVKDBg1cnhgAAAAAwLdU6z2gV1B4AgAAAACqyumHELnbv/71L/3mN79R48aNFRQUpM6dO2vXrl329cYYzZw5U5GRkQoKCtKgQYP03XffeTBjAAAAAEB5vLoAPX36tPr06SOr1ar169frwIEDWrBggRo2bGiPmT9/vhYtWqSlS5cqIyND9erVU1xcnIqKijyYOQAAAADgWjd0CW5Nmzdvnlq2bKnly5fb26Kioux/Nsbo1Vdf1X/9139p6NChkqR3331XzZo10yeffKJHH33U7TkDAAAAAMrnVAFqs9k0ZMgQLV26VO3bt6+pnOz++te/Ki4uTg899JDS0tJ0yy236JlnntH48eMlSUeOHFFOTo4GDRpk/0xoaKjuvPNOpaenV1iAFhcXq7i42L5cUFAg6fL22Wy2Gtwi2PkFVrzu6t9BZXHOxHoo7sp8stlsXplfteI8OTZxLu/T9tOyzS/Q+7e5lu9r4qoQd02sw/z0lhx9Jc6TY/tQnP17nu9Q74uD479D3TRWVViMMcaZzsPDw7Vjxw63FKCBgZcnWGJioh566CFlZmZq8uTJWrp0qUaPHq0dO3aoT58+On78uCIjI+2fe/jhh2WxWPThhx+W2++sWbP00ksvlWlftWqVgoODa2ZjAAAAAMAHFRYWauTIkcrPz1dISEilsU4XoAkJCQoICNDcuXNvKMmq8Pf3V8+ePbVjxw5726RJk5SZman09PRqF6DlnQFt2bKlfvzxx+vuMLjInBYVr0v6Z9XinIn1UJztuSPauHGjBg8eLOsfoyqM8/btcIjz5NjEubxPm1+gNnZepMH7Jsk67ZBrc/SVOE+OfbPFXRNrm9fu5/lZWlRhnFdui7fHeXJsH4qz2WyXv+fLm6Pl9eeBHG/aOPw8PwcPltVqrdGxCgoK1KRJkyoVoE7fA3rx4kW988472rRpk3r06KF69eo5rF+4cKGzXVYoMjJSHTt2dGi7/fbb9dFHH0mSIiIiJEm5ubkOBWhubq66du1aYb8BAQEKCAgo0261Wmv8l4OfVHSQlqSrfweVxTkT6+E4q9Va8ReTF+TnVJwnxyauxvq0lhY5Hv+8cZt9ZF8T5/y+tpYWlT2Gevu2eHucJ8f2wbhy52h5/Xkwx5suDnbuqHGc6d/pAvTrr79W9+7dJUnffvutwzqLxeJsd5Xq06ePsrKyHNq+/fZbtW7dWtLlBxJFREQoJSXFXnAWFBQoIyNDEyZMcGkuAAAAAIAb43QBmpqaWhN5lCshIUF33323/vu//1sPP/ywvvjiC7311lt66623JF0ueKdMmaI//OEPat++vaKiojRjxgw1b95cw4YNc1ueAAAAAIDrq/ZrWA4dOqTs7Gz17dtXQUFBMsa4/Axor169tHbtWiUlJWn27NmKiorSq6++qlGjRtljpk6dqvPnz+vJJ5/UmTNndM899yg5Odn+ACMAAAAAgHdwugA9deqUHn74YaWmpspisei7775TmzZtNG7cODVs2FALFixwaYL333+/7r///grXWywWzZ49W7Nnz3bpuAAAAAAA1/Jz9gMJCQmyWq06evSowytLHnnkESUnJ7s0OQAAAACA73D6DOjf/vY3bdiwQS1aOD4CuX379vrhhx9clhgAAAAAwLc4fQb0/PnzDmc+r8jLyyv31SYAAAAAAEjVKEB/9atf6d1337UvWywWlZaWav78+YqJiXFpcgAAAAAA3+H0Jbjz58/XwIEDtWvXLpWUlGjq1Knav3+/8vLytH379prIEQAAAADgA5w+A9qpUyd9++23uueeezR06FCdP39ew4cP1549e9S2bduayBEAAAAA4AOq9R7Q0NBQvfDCC67OBQAAAADgw6pVgJ4+fVrLli3TwYMHJUkdO3bU2LFj1ahRI5cmBwAAAADwHU5fgrt161bdeuutWrRokU6fPq3Tp09r0aJFioqK0tatW2siRwAAAACAD3D6DGh8fLweeeQRLVmyRHXq1JEkXbp0Sc8884zi4+O1b98+lycJAAAAAKj9nD4DeujQIT377LP24lOS6tSpo8TERB06dMilyQEAAAAAfIfTBWj37t3t935e7eDBg+rSpYtLkgIAAAAA+J4qXYL71Vdf2f88adIkTZ48WYcOHdJdd90lSdq5c6cWL16suXPn1kyWAAAAAIBar0oFaNeuXWWxWGSMsbdNnTq1TNzIkSP1yCOPuC47AAAAAIDPqFIBeuTIkZrOAwAAAADg46pUgLZu3bqm8wAAAAAA+DinX8MiScePH9e2bdt08uRJlZaWOqybNGmSSxIDAAAAAPgWpwvQFStW6KmnnpK/v78aN24si8ViX2exWChAAQAAAADlcroAnTFjhmbOnKmkpCT5+Tn9FhcAAAAAwE3K6QqysLBQjz76KMUnAAAAAMApTleR48aN0+rVq2siFwAAAACAD3P6Etw5c+bo/vvvV3Jysjp37iyr1eqwfuHChS5LDgAAAADgO5w+Azpnzhxt2LBBubm52rdvn/bs2WP/2bt3bw2k+LO5c+fKYrFoypQp9raioiLFx8ercePGql+/vkaMGKHc3NwazQMAAAAA4Dynz4AuWLBA77zzjsaMGVMD6VQsMzNTb775pu644w6H9oSEBH3++edavXq1QkNDNXHiRA0fPlzbt293a34AAAAAgMo5fQY0ICBAffr0qYlcKnTu3DmNGjVKb7/9tho2bGhvz8/P17Jly7Rw4UINGDBAPXr00PLly7Vjxw7t3LnTrTkCAAAAACrn9BnQyZMn6/XXX9eiRYtqIp9yxcfH67777tOgQYP0hz/8wd6+e/du2Ww2DRo0yN7WoUMHtWrVSunp6brrrrvK7a+4uFjFxcX25YKCAkmSzWaTzWaroa2AA7/Aitdd/TuoLM6ZWA/FXZlPNpvNK/OrVpwnxybO5X3aflq2+QV6/zbX8n1NXBXirol1mJ/ekqOvxHlybB+Ks3/P8x3qfXFw/Heom8aqCosxxjjT+YMPPqjNmzercePG+uUvf1nmIUQff/yxM91d1wcffKCXX35ZmZmZCgwMVP/+/dW1a1e9+uqrWrVqlcaOHetQTEpS7969FRMTo3nz5pXb56xZs/TSSy+VaV+1apWCg4Ndmj8AAAAA+LLCwkKNHDlS+fn5CgkJqTTW6TOgYWFhGj58eLWTc8axY8c0efJkbdy4UYGB1/lfPCckJSUpMTHRvlxQUKCWLVsqNjb2ujsMLjKnRcXrkv5ZtThnYj0UZ3vuiDZu3KjBgwfL+scor8uvWnGeHJs4l/dp8wvUxs6LNHjfJFmnHXJtjr4S58mxb7a4a2Jt89r9PD9Li7wjR1+J8+TYPhRns9kuf8+XN0fL688DOd60cfh5fg4eXOakoatduaK0KpwuQJcvX+7sR6pt9+7dOnnypLp3725vu3TpkrZu3ar/+Z//0YYNG1RSUqIzZ84oLCzMHpObm6uIiIgK+w0ICFBAQECZdqvVWuO/HPykooO0JF39O6gszplYD8dZrdaKv5i8ID+n4jw5NnE11qe1tMjx+OeN2+wj+5o45/e1tbSo7DHU27fF2+M8ObYPxpU7R8vrz4M53nRxsHNHjeNM/04XoO40cOBA7du3z6Ft7Nix6tChg6ZNm6aWLVvKarUqJSVFI0aMkCRlZWXp6NGjio6O9kTKAAAAAIAKOF2ARkVFyWKxVLj+8OHDN5TQ1Ro0aKBOnTo5tNWrV0+NGze2t48bN06JiYlq1KiRQkJC9Nvf/lbR0dEVPoAIAAAAAOAZThegU6ZMcVi22Wzas2ePkpOT9fzzz7sqryr705/+JD8/P40YMULFxcWKi4vTG2+84fY8AAAAAACVq9ZrWMqzePFi7dq164YTup4tW7Y4LAcGBmrx4sVavHhxjY8NAAAAAKg+P1d1dO+99+qjjz5yVXcAAAAAAB/jsgJ0zZo1atSokau6AwAAAAD4GKcvwe3WrZvDQ4iMMcrJydG///1v7r0EAAAAAFTI6QJ02LBhDst+fn4KDw9X//791aFDB1flBQAAAADwMU4XoC+++GJN5AEAAAAArjEr9Drr892TB8pw2T2gAAAAAABUpspnQP38/Bzu/SyPxWLRxYsXbzgp1GKV/W8T/9MEAAAA3NSqXICuXbu2wnXp6elatGiRSktLXZIUAAAAAMD3VLkAHTp0aJm2rKwsTZ8+XevWrdOoUaM0e/ZslyYHAAAAAPAd1boH9Pjx4xo/frw6d+6sixcvau/evVq5cqVat27t6vwAAAAAAD7CqQI0Pz9f06ZNU7t27bR//36lpKRo3bp16tSpU03lBwAAAADwEVW+BHf+/PmaN2+eIiIi9P7775d7SS4AAAAAABWpcgE6ffp0BQUFqV27dlq5cqVWrlxZbtzHH3/ssuQAAAAAAL6jygXof/7nf173NSwAAAAAAFSkygXoihUrajANAAAAAICvq9ZTcAEAAAAAcBYFKAAAAADALShAAQAAAABuQQEKAAAAAHALClAAAAAAgFtQgAIAAAAA3IICFAAAAADgFl5dgM6ZM0e9evVSgwYN1LRpUw0bNkxZWVkOMUVFRYqPj1fjxo1Vv359jRgxQrm5uR7KGAAAAABQEa8uQNPS0hQfH6+dO3dq48aNstlsio2N1fnz5+0xCQkJWrdunVavXq20tDQdP35cw4cP92DWAAAAAIDy1PV0ApVJTk52WF6xYoWaNm2q3bt3q2/fvsrPz9eyZcu0atUqDRgwQJK0fPly3X777dq5c6fuuusuT6QNAAAAACiHVxeg18rPz5ckNWrUSJK0e/du2Ww2DRo0yB7ToUMHtWrVSunp6RUWoMXFxSouLrYvFxQUSJJsNptsNltNpX9z8AuseN3V+9YVcTXRp4vjrswnm83mlflVK86TYxPn8j5tPy3b/AK9f5tr+b4mrgpx18Q6zE9vydFX4jw5tg/F2b/n+Q6tXXHXxvooh3+HummsqrAYY0wN5uIypaWl+vWvf60zZ85o27ZtkqRVq1Zp7NixDsWkJPXu3VsxMTGaN29euX3NmjVLL730Upn2VatWKTg42PXJAwAAAICPKiws1MiRI5Wfn6+QkJBKY2vNGdD4+Hh9/fXX9uLzRiQlJSkxMdG+XFBQoJYtWyo2Nva6OwzXMadFxeuS/unauJro08VxtueOaOPGjRo8eLCsf4zyuvyqFefJsYlzeZ82v0Bt7LxIg/dNknXaIdfm6Ctxnhz7Zou7JtY2r93P87O0yDty9JU4T47tQ3E2m+3y93x5c7S8/jyQI3FViPVR9vk5eLCsVmuNjnXlitKqqBUF6MSJE/XZZ59p69atatHi58kUERGhkpISnTlzRmFhYfb23NxcRUREVNhfQECAAgICyrRbrdYa/+X4vIoOvpJ09b51RVxN9FlDcVarteIvJi/Iz6k4T45NXI31aS0tcjz+eeM2+8i+Js75fW0tLSp7DPX2bfH2OE+O7YNx5c7R8vrzYI7EVRLr49xR4zjTv1c/BdcYo4kTJ2rt2rXavHmzoqIczyD16NFDVqtVKSkp9rasrCwdPXpU0dHR7k4XAAAAAFAJrz4DGh8fr1WrVunTTz9VgwYNlJOTI0kKDQ1VUFCQQkNDNW7cOCUmJqpRo0YKCQnRb3/7W0VHR/MEXAAAAADwMl5dgC5ZskSS1L9/f4f25cuXa8yYMZKkP/3pT/Lz89OIESNUXFysuLg4vfHGG27OFAAAAABwPV5dgFblAb2BgYFavHixFi9e7IaMAAAAAADV5dX3gAIAAAAAfAcFKAAAAADALShAAQAAAABu4dX3gMKLzAqtZF2++/IAAAAAXIl/57oVZ0ABAAAAAG5BAQoAAAAAcAsKUAAAAACAW1CAAgAAAADcggIUAAAAAOAWPAX3ZsdTvwAAAAC4CWdAAQAAAABuQQEKAAAAAHALLsEFAAAAgOvh1jWX4AwoAAAAAMAtKEABAAAAAG5BAQoAAAAAcAsKUAAAAACAW1CAAgAAAADcggIUAAAAAOAWvIbFV/GYaAAAAABehjOgAAAAAAC3oAAFAAAAALiFz1yCu3jxYr3yyivKyclRly5d9Prrr6t3796eTgsAAADAzaSqt8LdpLfM+cQZ0A8//FCJiYl68cUX9eWXX6pLly6Ki4vTyZMnPZ0aAAAAAOAnPlGALly4UOPHj9fYsWPVsWNHLV26VMHBwXrnnXc8nRoAAAAA4Ce1/hLckpIS7d69W0lJSfY2Pz8/DRo0SOnp6eV+pri4WMXFxfbl/PzLp7jz8vJks9lqNmF3KfGveN2pU74R58mxqxhnO3VKhYWFOnXqlKxemF+14jw5NnEu79Pm5395jpb4y+rt21zL9zVxVYi7JtZWctX8LC31jhx9Jc6TY/tQnM1mq3iOltefB3IkzsvGru6/varBPj9PnZLVar3h/ipz9uxZSZIx5rqxFlOVKC92/Phx3XLLLdqxY4eio6Pt7VOnTlVaWpoyMjLKfGbWrFl66aWX3JkmAAAAAPi0Y8eOqUWLFpXG1PozoNWRlJSkxMRE+3Jpaany8vLUuHFjWSyWavfbq1cvZWZmuiLFWp0DefysoKBALVu21LFjxxQSEuKxPCTP7wtvysMbcvCWPLxljnrDviAP78vDW+an5Pl94U15eEMO3pKHt8xRb9gX5OF9ebhzfhpjdPbsWTVv3vy6sbW+AG3SpInq1Kmj3Nxch/bc3FxFRESU+5mAgAAFBAQ4tIWFhd1wLnXq1PH4F6Q35EAeZYWEhHg8D2/ZF96Qhzfk4E15SJ6fo96yL8jDO/Pw9PyUvGdfeEMe3pCDN+UheX6Oesu+IA/vzMNd8zM0tJKn+l6l1j+EyN/fXz169FBKSoq9rbS0VCkpKQ6X5LpDfHy8W8fz1hwk8vBG3rIvvCEPb8hB8p48vIG37AvycOQteXgDb9kX3pCHN+QgeU8e3sBb9gV5OPKWPLxNrb8HVLr8GpbRo0frzTffVO/evfXqq6/qL3/5i7755hs1a9bM0+nhJlZQUKDQ0FDl5+d7xf+AAddijsKbMT/h7Zij8GbeOj9r/SW4kvTII4/o3//+t2bOnKmcnBx17dpVycnJFJ/wuICAAL344otlLvkGvAVzFN6M+QlvxxyFN/PW+ekTZ0ABAAAAAN6v1t8DCgAAAACoHShAAQAAAABuQQEKAAAAAHALClAAAAAAgFtQgALVsHXrVj3wwANq3ry5LBaLPvnkE4f1xhjNnDlTkZGRCgoK0qBBg/Tdd985xOTl5WnUqFEKCQlRWFiYxo0bp3PnzrlxK+Crrjc/x4wZI4vF4vAzZMgQhxjmJ2rKnDlz1KtXLzVo0EBNmzbVsGHDlJWV5RBTVFSk+Ph4NW7cWPXr19eIESOUm5vrEHP06FHdd999Cg4OVtOmTfX888/r4sWL7twU+KiqzNH+/fuXOY4+/fTTDjHMUdSEJUuW6I477lBISIhCQkIUHR2t9evX29fXhuMnBShQDefPn1eXLl20ePHictfPnz9fixYt0tKlS5WRkaF69eopLi5ORUVF9phRo0Zp//792rhxoz777DNt3bpVTz75pLs2AT7sevNTkoYMGaITJ07Yf95//32H9cxP1JS0tDTFx8dr586d2rhxo2w2m2JjY3X+/Hl7TEJCgtatW6fVq1crLS1Nx48f1/Dhw+3rL126pPvuu08lJSXasWOHVq5cqRUrVmjmzJme2CT4mKrMUUkaP368w3F0/vz59nXMUdSUFi1aaO7cudq9e7d27dqlAQMGaOjQodq/f7+kWnL8NABuiCSzdu1a+3JpaamJiIgwr7zyir3tzJkzJiAgwLz//vvGGGMOHDhgJJnMzEx7zPr1643FYjH/+te/3JY7fN+189MYY0aPHm2GDh1a4WeYn3CnkydPGkkmLS3NGHP5eGm1Ws3q1avtMQcPHjSSTHp6ujHGmP/7v/8zfn5+Jicnxx6zZMkSExISYoqLi927AfB5185RY4zp16+fmTx5coWfYY7CnRo2bGj+93//t9YcPzkDCrjYkSNHlJOTo0GDBtnbQkNDdeeddyo9PV2SlJ6errCwMPXs2dMeM2jQIPn5+SkjI8PtOePms2XLFjVt2lS33XabJkyYoFOnTtnXMT/hTvn5+ZKkRo0aSZJ2794tm83mcAzt0KGDWrVq5XAM7dy5s5o1a2aPiYuLU0FBgf0sAOAq187RK9577z01adJEnTp1UlJSkgoLC+3rmKNwh0uXLumDDz7Q+fPnFR0dXWuOn3XdMgpwE8nJyZEkh7/YV5avrMvJyVHTpk0d1tetW1eNGjWyxwA1ZciQIRo+fLiioqKUnZ2t3/3ud7r33nuVnp6uOnXqMD/hNqWlpZoyZYr69OmjTp06Sbp8fPT391dYWJhD7LXH0PKOsVfWAa5S3hyVpJEjR6p169Zq3ry5vvrqK02bNk1ZWVn6+OOPJTFHUbP27dun6OhoFRUVqX79+lq7dq06duyovXv31orjJwUoANxkHn30UfufO3furDvuuENt27bVli1bNHDgQA9mhptNfHy8vv76a23bts3TqQDlqmiOXn1PfOfOnRUZGamBAwcqOztbbdu2dXeauMncdttt2rt3r/Lz87VmzRqNHj1aaWlpnk6ryrgEF3CxiIgISSrzxLHc3Fz7uoiICJ08edJh/cWLF5WXl2ePAdylTZs2atKkiQ4dOiSJ+Qn3mDhxoj777DOlpqaqRYsW9vaIiAiVlJTozJkzDvHXHkPLO8ZeWQe4QkVztDx33nmnJDkcR5mjqCn+/v5q166devTooTlz5qhLly567bXXas3xkwIUcLGoqChFREQoJSXF3lZQUKCMjAxFR0dLkqKjo3XmzBnt3r3bHrN582aVlpbav8QAd/nnP/+pU6dOKTIyUhLzEzXLGKOJEydq7dq12rx5s6KiohzW9+jRQ1ar1eEYmpWVpaNHjzocQ/ft2+fwHyUbN25USEiIOnbs6J4Ngc+63hwtz969eyXJ4TjKHIW7lJaWqri4uPYcP93yqCPAx5w9e9bs2bPH7Nmzx0gyCxcuNHv27DE//PCDMcaYuXPnmrCwMPPpp5+ar776ygwdOtRERUWZCxcu2PsYMmSI6datm8nIyDDbtm0z7du3N4899pinNgk+pLL5efbsWfPcc8+Z9PR0c+TIEbNp0ybTvXt30759e1NUVGTvg/mJmjJhwgQTGhpqtmzZYk6cOGH/KSwstMc8/fTTplWrVmbz5s1m165dJjo62kRHR9vXX7x40XTq1MnExsaavXv3muTkZBMeHm6SkpI8sUnwMdebo4cOHTKzZ882u3btMkeOHDGffvqpadOmjenbt6+9D+Yoasr06dNNWlqaOXLkiPnqq6/M9OnTjcViMX/729+MMbXj+EkBClRDamqqkVTmZ/To0caYy69imTFjhmnWrJkJCAgwAwcONFlZWQ59nDp1yjz22GOmfv36JiQkxIwdO9acPXvWA1sDX1PZ/CwsLDSxsbEmPDzcWK1W07p1azN+/HiHx7Ebw/xEzSlvbkoyy5cvt8dcuHDBPPPMM6Zhw4YmODjYPPjgg+bEiRMO/Xz//ffm3nvvNUFBQaZJkybm2WefNTabzc1bA190vTl69OhR07dvX9OoUSMTEBBg2rVrZ55//nmTn5/v0A9zFDXhiSeeMK1btzb+/v4mPDzcDBw40F58GlM7jp8WY4xxz7lWAAAAAMDNjHtAAQAAAABuQQEKAAAAAHALClAAAAAAgFtQgAIAAAAA3IICFAAAAADgFhSgAAAAAAC3oAAFAAAAALgFBSgAAAAAwC0oQAEAtdqWLVtksVh05syZG+pnzJgxGjZsmEtycmVf3jz2smXLFBsb6/Z8kpOT1bVrV5WWlrq0XwBAzaMABQB4haVLl6pBgwa6ePGive3cuXOyWq3q37+/Q+yVojM7O1t33323Tpw4odDQ0BrN78qYFotFfn5+Cg0NVbdu3TR16lSdOHHCIfa1117TihUrajSf77//XhaLRXv37nX72JJUVFSkGTNm6MUXX6zxsa41ZMgQWa1Wvffee24fGwBwYyhAAQBeISYmRufOndOuXbvsbX//+98VERGhjIwMFRUV2dtTU1PVqlUrtW3bVv7+/oqIiJDFYnFLnllZWTp+/LgyMzM1bdo0bdq0SZ06ddK+ffvsMaGhoQoLC6uwj5KSkhrL73pju8qaNWsUEhKiPn361PhY5RkzZowWLVrkkbEBANVHAQoA8Aq33XabIiMjtWXLFnvbli1bNHToUEVFRWnnzp0O7TExMfY/X30J7ooVKxQWFqYNGzbo9ttvV/369TVkyBCHs5SXLl1SYmKiwsLC1LhxY02dOlXGmCrl2bRpU0VEROgXv/iFHn30UW3fvl3h4eGaMGGCPebay0779++viRMnasqUKWrSpIni4uIkSV9//bXuvfde1a9fX82aNdPjjz+uH3/80f650tJSzZ8/X+3atVNAQIBatWqll19+WZIUFRUlSerWrZssFov9LPG1YxcXF2vSpElq2rSpAgMDdc899ygzM9NhX1osFqWkpKhnz54KDg7W3XffraysrEr3wwcffKAHHnjAoa0q+7W0tFRz5sxRVFSUgoKC1KVLF61Zs8Yh5q9//avat2+vwMBAxcTEaOXKlWUus37ggQe0a9cuZWdnV5onAMC7UIACALxGTEyMUlNT7cupqanq37+/+vXrZ2+/cOGCMjIy7AVoeQoLC/XHP/5Rf/7zn7V161YdPXpUzz33nH39ggULtGLFCr3zzjvatm2b8vLytHbt2mrlHBQUpKefflrbt2/XyZMnK4xbuXKl/P39tX37di1dulRnzpzRgAED1K1bN+3atUvJycnKzc3Vww8/bP9MUlKS5s6dqxkzZujAgQNatWqVmjVrJkn64osvJEmbNm3SiRMn9PHHH5c77tSpU/XRRx9p5cqV+vLLL9WuXTvFxcUpLy/PIe6FF17QggULtGvXLtWtW1dPPPFEpdu9bds29ezZ06GtKvt1zpw5evfdd7V06VLt379fCQkJ+s1vfqO0tDRJ0pEjR/Qf//EfGjZsmP7xj3/oqaee0gsvvFBm/FatWqlZs2b6+9//XmmeAAAvYwAA8BJvv/22qVevnrHZbKagoMDUrVvXnDx50qxatcr07dvXGGNMSkqKkWR++OEHY4wxqampRpI5ffq0McaY5cuXG0nm0KFD9n4XL15smjVrZl+OjIw08+fPty/bbDbTokULM3To0Apzu3acq61fv95IMhkZGcYYY0aPHu3QV79+/Uy3bt0cPvP73//exMbGOrQdO3bMSDJZWVmmoKDABAQEmLfffrvcfI4cOWIkmT179ji0Xz32uXPnjNVqNe+99559fUlJiWnevLl9+69s16ZNm+wxn3/+uZFkLly4UO7Yp0+fNpLM1q1bHdqvt1+LiopMcHCw2bFjh8Pnxo0bZx577DFjjDHTpk0znTp1clj/wgsvlLvvu3XrZmbNmlVujgAA71TXQ3UvAABl9O/fX+fPn1dmZqZOnz6tX/ziFwoPD1e/fv00duxYFRUVacuWLWrTpo1atWpVYT/BwcFq27atfTkyMtJ+djI/P18nTpzQnXfeaV9ft25d9ezZs8qX4V7ryucquw+1R48eDsv/+Mc/lJqaqvr165eJzc7O1pkzZ1RcXKyBAwdWK6cr/dhsNof7NK1Wq3r37q2DBw86xN5xxx32P0dGRkqSTp48We5+vnDhgiQpMDDQ3laV/Xro0CEVFhZq8ODBDv2VlJSoW7duki7fY9urVy+H9b179y53+4KCglRYWFjB1gMAvBEFKADAa7Rr104tWrRQamqqTp8+rX79+kmSmjdvrpYtW2rHjh1KTU3VgAEDKu3HarU6LFsslmoXl1VxpZi79dZbK4ypV6+ew/K5c+f0wAMPaN68eWViIyMjdfjwYZfmeD1X77MrhXRFrzlp3LixLBaLTp8+7dQY586dkyR9/vnnuuWWWxzWBQQEONWXJOXl5Sk8PNzpzwEAPId7QAEAXiUmJkZbtmzRli1bHF6/0rdvX61fv15ffPFFpfd/Xk9oaKgiIyOVkZFhb7t48aJ2795drf4uXLigt956S3379nWqGOrevbv279+vW2+9Ve3atXP4qVevntq3b6+goCClpKSU+3l/f39Jlx/8U5ErTwnevn27vc1msykzM1MdO3ascq7ljd2xY0cdOHDA3laV/dqxY0cFBATo6NGjZba5ZcuWki4/jOrqJyFLcnho0hVFRUXKzs62nzkFANQOFKAAAK8SExOjbdu2ae/evfYzoJLUr18/vfnmmyopKbmhAlSSJk+erLlz5+qTTz7RN998o2eeecbhCauVOXnypHJycvTdd9/pgw8+UJ8+ffTjjz9qyZIlTuUQHx+vvLw8PfbYY8rMzFR2drY2bNigsWPH6tKlSwoMDNS0adM0depUvfvuu8rOztbOnTu1bNkySZefxhsUFGR/eFF+fn6ZMerVq6cJEybo+eefV3Jysg4cOKDx48ersLBQ48aNcyrfa8XFxWnbtm0Obdfbrw0aNNBzzz2nhIQErVy5UtnZ2fryyy/1+uuva+XKlZKkp556St98842mTZumb7/9Vn/5y1/s7zW9+hLnnTt3KiAgQNHR0Te0HQAA9+ISXACAV4mJidGFCxfUoUMH+xNfpcsF6NmzZ+2va7kRzz77rE6cOKHRo0fLz89PTzzxhB588MFyi7hr3XbbbbJYLKpfv77atGmj2NhYJSYmKiIiwqkcmjdvru3bt2vatGmKjY1VcXGxWrdurSFDhsjP7/L/D8+YMUN169bVzJkzdfz4cUVGRurpp5+WdPn+ykWLFmn27NmaOXOmfvWrXzm8wuaKuXPnqrS0VI8//rjOnj2rnj17asOGDWrYsKFT+V5r3Lhx6tmzp/Lz8xUaGiqpavv197//vcLDwzVnzhwdPnxYYWFh6t69u373u99Juvx6mTVr1ujZZ5/Va6+9pujoaL3wwguaMGGCw2W677//vkaNGqXg4OAb2g4AgHtZTE3eFAMAAHzWQw89pO7duyspKalGx3n55Ze1dOlSHTt2TJL0448/2i/VvfI+VABA7cAluAAAoFpeeeWVcp/ie6PeeOMNZWZm6vDhw/rzn/+sV155RaNHj7av//777/XGG29QfAJALcQZUAAA4FUSEhL04YcfKi8vT61atdLjjz+upKQk1a3LnUMAUNtRgAIAAAAA3IJLcAEAAAAAbkEBCgAAAABwCwpQAAAAAIBbUIACAAAAANyCAhQAAAAA4BYUoAAAAAAAt6AABQAAAAC4BQUoAAAAAMAt/h9uSv9M8U+U6wAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def get_bias_for_single_turbine(\n",
+    "    df, fm, ti, opt_search_range=[-180.0, 180.0], plot=True, figure_save_path=None\n",
+    "):\n",
+    "    print(\"Initializing wd bias estimator object for turbine %03d...\" % ti)\n",
+    "\n",
+    "    # Copy variables and unlink them\n",
+    "    df = df.copy()  # Unlink from input\n",
+    "\n",
+    "    # Calculate which turbines are upstream for every wind direction\n",
+    "    df_upstream = ftools.get_upstream_turbs_floris(fm, wd_step=2.0)\n",
+    "\n",
+    "    # We assign the total datasets \"true\" wind direction as equal to the wind\n",
+    "    # direction of the turbine which we want to perform northing calibration\n",
+    "    # on. In this case, turbine 'ti'.\n",
+    "    df = dfm.set_wd_by_turbines(df, [ti])\n",
+    "\n",
+    "    # We define a function that calculates the freestream wind speed based\n",
+    "    # on a dataframe that is inserted. It does this based on knowing which\n",
+    "    # turbines are upstream for what wind directions, and then knowledge\n",
+    "    # of what the wind direction is for every row in the dataframe. However,\n",
+    "    # since the shift the \"true\" wind direction many times to estimate the\n",
+    "    # northing bias, we cannot precalculate this. It changes with every\n",
+    "    # northing bias guess. Hence, we must insert a function.\n",
+    "    def _set_ws_fun(df):\n",
+    "        return dfm.set_ws_by_upstream_turbines_in_radius(\n",
+    "            df=df,\n",
+    "            df_upstream=df_upstream,\n",
+    "            turb_no=ti,\n",
+    "            x_turbs=fm.layout_x,\n",
+    "            y_turbs=fm.layout_y,\n",
+    "            max_radius=5000.0,\n",
+    "            include_itself=True,\n",
+    "        )\n",
+    "\n",
+    "    # We similarly define a function that calculates the reference power. This\n",
+    "    # is typically the power production of one or multiple upstream turbines.\n",
+    "    # Here, we assume it is the average power production of all upstream\n",
+    "    # turbines. Which turbines are upstream depends on the wind direction.\n",
+    "    def _set_pow_ref_fun(df):\n",
+    "        return dfm.set_pow_ref_by_upstream_turbines_in_radius(\n",
+    "            df=df,\n",
+    "            df_upstream=df_upstream,\n",
+    "            turb_no=ti,\n",
+    "            x_turbs=fm.layout_x,\n",
+    "            y_turbs=fm.layout_y,\n",
+    "            max_radius=5000.0,\n",
+    "            include_itself=True,\n",
+    "        )\n",
+    "\n",
+    "    # We now have the reference power productions specified, being equal to\n",
+    "    # the mean power production of all turbines upstream. We also need to\n",
+    "    # define a test power production, which should be waked at least part of\n",
+    "    # the time so that we can match it with our FLORIS predictions. Here, we\n",
+    "    # calculate the energy ratios for the 3 turbines closest to the turbine\n",
+    "    # from which we take the wind direction measurement ('ti').\n",
+    "    turbines_sorted_by_distance = ftools.get_turbs_in_radius(\n",
+    "        x_turbs=fm.layout_x,\n",
+    "        y_turbs=fm.layout_y,\n",
+    "        turb_no=ti,\n",
+    "        max_radius=1.0e9,\n",
+    "        include_itself=False,\n",
+    "        sort_by_distance=True,\n",
+    "    )\n",
+    "    test_turbines = turbines_sorted_by_distance[0:3]\n",
+    "\n",
+    "    # Now, we have all information set up and we can initialize the northing\n",
+    "    # bias estimation class.\n",
+    "    fsc = best.bias_estimation(\n",
+    "        df=df,\n",
+    "        df_fm_approx=df_fm_approx,\n",
+    "        test_turbines_subset=test_turbines,\n",
+    "        df_ws_mapping_func=_set_ws_fun,\n",
+    "        df_pow_ref_mapping_func=_set_pow_ref_fun,\n",
+    "    )\n",
+    "\n",
+    "    # We can save the energy ratio curves for every iteration in the\n",
+    "    # optimization process. This is useful for debugging. However, it also\n",
+    "    # significantly slows down the estimation process. We disable it by\n",
+    "    # default by assigning it 'None'.\n",
+    "    plot_iter_path = None  # Disabled, useful for debugging but slow\n",
+    "    # plot_iter_path = os.path.join(out_path, \"opt_iters_ti%03d\" % ti)\n",
+    "\n",
+    "    # Now estimate the wind direction bias while catching warning messages\n",
+    "    # that do not really inform but do pollute the console.\n",
+    "    with wn.catch_warnings():\n",
+    "        wn.filterwarnings(action=\"ignore\", message=\"All-NaN slice encountered\")\n",
+    "\n",
+    "        # Estimate bias for the entire time range, from start to end of\n",
+    "        # dataframe, for wind speeds in region II of turbine operation, with\n",
+    "        # in steps of 3.0 deg (wd) and 5.0 m/s (ws). We search over the entire\n",
+    "        # range from -180.0 deg to +180.0 deg, in steps of 5.0 deg. This has\n",
+    "        # appeared to be a good stepsize empirically.\n",
+    "        wd_bias, _ = fsc.estimate_wd_bias(\n",
+    "            time_mask=None,  # For entire dataset\n",
+    "            ws_mask=(6.0, 10.0),\n",
+    "            er_wd_step=3.0,\n",
+    "            er_ws_step=5.0,\n",
+    "            er_wd_bin_width=3.0,\n",
+    "            er_N_btstrp=1,\n",
+    "            opt_search_brute_dx=5.0,\n",
+    "            opt_search_range=opt_search_range,\n",
+    "            plot_iter_path=plot_iter_path,\n",
+    "        )\n",
+    "        wd_bias = float(wd_bias[0])  # Convert to float\n",
+    "\n",
+    "    # Print progress to console\n",
+    "    print(\"Turbine {}. estimated bias = {} deg.\".format(ti, wd_bias))\n",
+    "\n",
+    "    if plot:\n",
+    "        # Produce and save calibrated/corrected energy ratio figures\n",
+    "        fsc.plot_energy_ratios(show_uncorrected_data=True, save_path=figure_save_path)\n",
+    "        if figure_save_path is not None:\n",
+    "            print(\"Calibrated energy ratio figures saved to {:s}.\".format(figure_save_path))\n",
+    "\n",
+    "    # Finally, return the estimated wind direction bias\n",
+    "    return wd_bias\n",
+    "\n",
+    "\n",
+    "# We will calibrate the turbine nacelle heading for the first 'clean' turbine\n",
+    "first_clean_turbid = np.where([c == \"clean\" for c in turb_wd_consistency])[0][0]\n",
+    "\n",
+    "# Calculate optimal bias for the first clean turbine, covering all possibilities\n",
+    "#  (from -180 deg to +180 deg offset)\n",
+    "wd_bias = get_bias_for_single_turbine(\n",
+    "    df=df_scada_homogenized,\n",
+    "    fm=fm,\n",
+    "    ti=first_clean_turbid,\n",
+    "    opt_search_range=(-180.0, 180.0),\n",
+    "    plot=True,\n",
+    ")\n",
+    "print(\"WD bias for first clean turbine: {:.3f} deg\".format(wd_bias))\n",
+    "\n",
+    "# Now calculate the northing-bias-corrected wind direction for this\n",
+    "#  turbine and call it our reference\n",
+    "wd_ref = wrap_360(df_scada_homogenized[\"wd_{:03d}\".format(first_clean_turbid)] - wd_bias)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# **Step 4**: Estimate the biases of the remaining turbines\n",
+    "Now that we know the wind direction bias of a single turbine, we roughly know where true north lies. What we can now do is simply calculate the average offset between the wind direction of any turbine and this northing-calibrated wind direction. The wind direction bias for that turbine is likely very close to this number. We use this as a first guess for the energy-ratio-based bias estimation, and optimize within +- 5 degrees within this initial value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m Initializing a bias_estimation() object...\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m Estimating the wind direction bias\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m   Constructing energy table for wd_bias of -5.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Initializing wd bias estimator object for turbine 000...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m   Constructing energy table for wd_bias of 5.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m    minimum/maximum value in df:        (7.789, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m    minimum/maximum value in df:        (7.789, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:29\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m   Evaluating optimal solution with bootstrapping\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: -0.893931\n",
+      "         Iterations: 1\n",
+      "         Function evaluations: 2\n",
+      "Turbine 0. estimated bias = 0.00025 deg.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:30\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m Initializing a bias_estimation() object...\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m Estimating the wind direction bias\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m   Constructing energy table for wd_bias of 9.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 9.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " \n",
+      "Initializing wd bias estimator object for turbine 001...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 9.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 9.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m   Constructing energy table for wd_bias of 14.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 14.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 14.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 14.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m   Constructing energy table for wd_bias of 19.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 19.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 19.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 19.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m   Constructing energy table for wd_bias of 14.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 14.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 14.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 14.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m   Constructing energy table for wd_bias of 14.70 deg.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:31\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 14.700 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 14.700 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 14.700 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m   Constructing energy table for wd_bias of 15.40 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 15.400 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 15.400 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 15.400 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m   Constructing energy table for wd_bias of 15.05 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 15.050 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 15.050 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 15.050 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m   Constructing energy table for wd_bias of 15.40 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 15.400 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 15.400 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 15.400 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m   Constructing energy table for wd_bias of 14.88 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 14.875 deg.\n",
+      "\u001b[32m2024-12-02 11:23:32\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 14.875 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 14.875 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m   Constructing energy table for wd_bias of 15.23 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 15.225 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 15.225 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 15.225 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m   Constructing energy table for wd_bias of 14.96 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 14.963 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 14.963 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 14.963 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m   Evaluating optimal solution with bootstrapping\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m   Constructing energy table for wd_bias of 14.96 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 14.963 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 14.963 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: -0.999869\n",
+      "         Iterations: 4\n",
+      "         Function evaluations: 8\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 14.963 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m    minimum/maximum value in df:        (7.776, 8.253)\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m    minimum/maximum value in df:        (7.776, 8.253)\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:33\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Turbine 1. estimated bias = 14.9625 deg.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m Initializing a bias_estimation() object...\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m Estimating the wind direction bias\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m   Constructing energy table for wd_bias of -49.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -49.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " \n",
+      "Initializing wd bias estimator object for turbine 002...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -49.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -49.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m   Constructing energy table for wd_bias of -44.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -44.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -44.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -44.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m   Constructing energy table for wd_bias of -39.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df:        (7.787, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df:        (7.787, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -39.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -39.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -39.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m   Constructing energy table for wd_bias of -44.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -44.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -44.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -44.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m   Constructing energy table for wd_bias of -46.20 deg.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:34\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -46.200 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -46.200 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -46.200 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m   Constructing energy table for wd_bias of -41.80 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -41.800 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -41.800 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -41.800 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m   Constructing energy table for wd_bias of -45.10 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -45.100 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -45.100 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -45.100 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m   Constructing energy table for wd_bias of -46.20 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -46.200 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -46.200 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -46.200 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m   Constructing energy table for wd_bias of -44.55 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -44.550 deg.\n",
+      "\u001b[32m2024-12-02 11:23:35\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -44.550 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -44.550 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m   Constructing energy table for wd_bias of -45.65 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -45.650 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -45.650 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -45.650 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m   Constructing energy table for wd_bias of -44.83 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -44.825 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -44.825 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -44.825 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m   Constructing energy table for wd_bias of -45.38 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -45.375 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -45.375 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -45.375 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m   Constructing energy table for wd_bias of -44.96 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -44.963 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -44.963 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -44.963 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m   Evaluating optimal solution with bootstrapping\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m   Constructing energy table for wd_bias of -44.96 deg.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:36\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -44.963 deg.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -44.963 deg.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -44.963 deg.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m    minimum/maximum value in df:        (7.802, 8.239)\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m    minimum/maximum value in df:        (7.802, 8.239)\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Turbine 2. estimated bias = -44.962500000000006 deg.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m Initializing a bias_estimation() object...\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m Estimating the wind direction bias\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m   Constructing energy table for wd_bias of -5.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " \n",
+      "Initializing wd bias estimator object for turbine 003...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:37\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m   Constructing energy table for wd_bias of 5.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m    minimum/maximum value in df:        (7.787, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m    minimum/maximum value in df:        (7.787, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m   Evaluating optimal solution with bootstrapping\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:38\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: -0.861142\n",
+      "         Iterations: 1\n",
+      "         Function evaluations: 2\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Turbine 3. estimated bias = 0.0 deg.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m Initializing a bias_estimation() object...\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m Estimating the wind direction bias\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m   Constructing energy table for wd_bias of -5.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -5.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " \n",
+      "Initializing wd bias estimator object for turbine 004...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m   Constructing energy table for wd_bias of 5.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m    minimum/maximum value in df:        (7.776, 8.221)\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m    minimum/maximum value in df:        (7.776, 8.221)\n",
+      "\u001b[32m2024-12-02 11:23:39\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m   Evaluating optimal solution with bootstrapping\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: -0.890643\n",
+      "         Iterations: 1\n",
+      "         Function evaluations: 2\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:40\u001b[0m     Determining energy ratios for test turbine = 002. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Turbine 4. estimated bias = 0.0 deg.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m Initializing a bias_estimation() object...\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m Estimating the wind direction bias\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m   Constructing energy table for wd_bias of -5.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m    minimum/maximum value in df:        (7.776, 8.253)\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m    minimum/maximum value in df:        (7.776, 8.253)\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -5.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " \n",
+      "Initializing wd bias estimator object for turbine 005...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m   Constructing energy table for wd_bias of 5.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:41\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m   Evaluating optimal solution with bootstrapping\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: -0.900444\n",
+      "         Iterations: 1\n",
+      "         Function evaluations: 2\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Determining energy ratios for test turbine = 003. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:42\u001b[0m     Determining energy ratios for test turbine = 006. WD bias: 0.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Turbine 5. estimated bias = 0.0 deg.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m Initializing a bias_estimation() object...\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m Estimating the wind direction bias\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m   Constructing energy table for wd_bias of -5.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: -5.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " \n",
+      "Initializing wd bias estimator object for turbine 006...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Determining energy ratios for test turbine = 000. WD bias: -5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Determining energy ratios for test turbine = 000. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m   Constructing energy table for wd_bias of 5.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df:        (7.776, 8.231)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Determining energy ratios for test turbine = 000. WD bias: 5.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Determining energy ratios for test turbine = 000. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:43\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m     Determining energy ratios for test turbine = 000. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m   Evaluating optimal solution with bootstrapping\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m     Determining energy ratios for test turbine = 000. WD bias: 0.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: -0.884975\n",
+      "         Iterations: 1\n",
+      "         Function evaluations: 2\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m     Initializing energy ratio inputs.\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m   Constructing energy table for wd_bias of 0.00 deg.\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m     Interpolating FLORIS predictions for dataframe.\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m \u001b[33mWarning: the values in df[ws] exceed the range in the precalculated solutions df_fi_approx[ws].\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m    minimum/maximum value in df:        (7.776, 8.248)\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m    minimum/maximum value in df_approx: (8.000, 8.000)\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m     Determining energy ratios for test turbine = 001. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m     Determining energy ratios for test turbine = 005. WD bias: 0.000 deg.\n",
+      "\u001b[32m2024-12-02 11:23:44\u001b[0m     Determining energy ratios for test turbine = 000. WD bias: 0.000 deg.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Turbine 6. estimated bias = 0.00025 deg.\n",
+      " \n",
+      "Wind direction biases: [ 2.50000e-04  1.49625e+01 -4.49625e+01  0.00000e+00  0.00000e+00\n",
+      "  0.00000e+00  2.50000e-04]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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LstxwMcsjSRK//vorN95441XLXHvttfTr148lS5bo13355ZfMmTOHgoKrv3XQaDRoNJfnQxYWFhIaGkp2dnaDiVNbilarJT4+npiYmHoNJzk5ma5du5pVi60T7CbRxUdFYq6OtCJjM3V1gEhPFTP72/PYQAdUkoROlvkrqYrEPB1OdhJOduBkJ+HpBOOi7JAkSb+/LMscztRRpQNJApUEDiro7qcyKnc6R4e2lgQ7FcT4GJeLz1WO11C50zk6KrRKzlZZVsr1qKPe9WeqyC+H8iqZcq2yjPZWMb6zHSpJQquTeWxtOf89UNnC1ha0Vp4f7sDrYxz19r86vor4XB0u9hIu9uBiL+HjDNfVYf/HshS7liTlRumghq4dje0woQ67jq7Drttqudagsa2Uaw0ar1au9vW/5rpe1+/peLZy/dfJyj3AXgV9AgzL6aqv/4Ua0FTJVOigQgtdvCXGRNrpf+8f7angqyOVpBXK5JTKBnnAG7qHCgTm5oG+9vx3shNqlfK8MvOPcr4/Xomvi4RvBwm/DiqivSXeH++E6gr7X3mykvIq5dlMJUl0sIepMYb3Ma1OJuqDYlIL2599nz59moiICJMdT6PRsHjxYubOnYujo2OzjlFYWIifnx8FBQUN+lOt2gGNjo7m/vvv57nnntOvW7t2LZMmTaK0tBRnZ+c693v11Vd57bXXjNYvWLAAJyenFms3BXl5eXz44YfWlmE1rrxorThaSXqRTJSniigvFVFeEr4dbGoEudWQZZlDmVq2pWjZdUHL7gtaUguUn7V4AGm91HXuJKCbr4qREWpGhtsxKkKNn/gdCAQCoEIrk14kk16kw14F/YPU+heVM/8oZ9kh8aJSYDn6BqjYP7ODgWMpy7KBA2kKyipldqRq2Z5axY5U5RmorKrtP/888cQTeHt7W1uGAeXl5SxcuFA4oFdzQFtDD6hWq+X8+fMmr//nAxf4ZH8+agkWjOiIk4M94d7OBHq5NPuYGZdKuffHs5jKkAKkXHa7PotKaviIhbIT7lK50fp1XEOOXTBayR6tygFdpYYHtD8aHFMrS3zu8jCOrt5UVGhwcXFBrSngttw4o3I/+j4Jzl7oqlfLZZe4M+cDo3IfOT9GsdqDSq1MRZWMuqKA/yd9YlTu2YqH6RTYkSFRXnR0dUAuvkjIvjdQ1bouy0hc7D0b2c4RSVuBSluBfWEyHikNz3GucvKhytkHx0uJSMjIqMga9BwFnabVu59Wq+Xs2bNERUVZdWiHLeiwpgaPM7/hv/ft6mFGEuleg3FzccDl4hHsKhqeU1IYeh0a93DOXNKyK72SkrIKnndaaWSHb0kPorHzrH7DrMKuspDndZ/WadeOrt7k5WQTGhSAfUUht11cYlTuz9CnUHXwocaMtSW5TDz/vlG5daFPYefaUb+uqjiHCTZczlY1qjp4U1hQiLuHO7qSPJvTZ+621pbkcEOqcbn14U9j16FW3SU5jE/5d53lVC4+DdZbY9dUPy5VluQy5cIio3Krg+ai6uBDUWERbm4d0JVeYmr6YqNyHzo8Qq7cgdIKLeWVOpx1Rbzn9JVBOZ0ssajiZnw9XejsZU+4px1uZWl4nPuDK9Hau6GqLEaq5y4sA1n9nqaw8zRkdfN6N5qKLVzHbUlHRUUFn3/+OQ899JBVh+Caqj3sSrOwLzpPpVsoVS7+qCqKcc4+SIesvbhk7sOx8NxV9y2X7ciT3ciV3SmWnbhGHU9tv1QnS3ysmUghHdAhISPhShlzHX8zfE6qHsFTm0pZTbrOi1BVDipJ+c09V34vE2+6z+hZ19S28c5fiWxMNsw4oQK+mh5V73N2c3SEhoaa1J4t3QNqU3NAm0pAQABZWVkG67KysnB3d7+q8wng6OhYZ+Nebb0p0Wq12Nvb4+jo2KDhxMTEmLz+BV26cPzS3+w8X8rbu4sBkLjEgrFhPDKuZ7OOuXbNISQHJ658pxXlaYezvQqtTqZKhiKNlqwSndH+A4Oc6Bboho+rA92qTtH/9KeoSoxvpCUR4+kQfS14hYNXBHiGU5ieTofl16CudeOuklX0uPcDQqIuD2FOyS7guQ/cedPuC+wkHVWyiherHuTR+18kxMeVU6dOERsbi1qtZus3rgxPfFdfbkeXZ7nj7ueM9Gz9xsmo3Jwryin1VhnU+3zVg/wsj4J0kNKhT6ATt/QdhKu0l6nSxuo5EGqkKUvw6zfDsNKCNFjSA+Ra7SipYPxCyDsDF/ZC5jHsynOxK8+9XAQdAfsWEjDsLvAINj6J1Wi1WnQ6XYMvSMyNLeiwmoaCNPj+bUA5xxIywZd2w6Xq7fYuEDoYwodBx2hYeZ+BPciSmn86z+Pfu4s5c6kKUIbWFlZ58taV9v/kS4T7eej3VexVa/w7eWA+AR5OLFy4kNvunY2joyNbv3E0sv/Jdf5O7IzKTWpJua/VDE96z3THa2S5Ost2foZJ9zxv/u98lXJarfaKa5dl6jUqZ+Jz0hKN2zs9zYQZL9RRTm10vAmN1Fi3XdsblbuxznPiYFRu7hXHS0jP5bk4O6P7xI/yaOV3f0kZzjuqYzH/ZQ2qWo6mDhXqx/eAqx8UZUJRBiRtgr8XGtQhAQEH/03Ayc+g53Todw8E9r5coCBNuYd4d6r3HtEUbOE6bks6NBoN3t7eREdHm/1Zsz5M0h4HV8DqJ6vvPZLyXJZ/HuTLgcB0gHSFg6iVJcZp3uUsQYCESgJ7CabJWwzuT89XPcixjtfj7+aIs70KZ3s1eTqZBQl+V9zHHsAxuBedNSeJKjtOTOVJOpJHuDpHX6daknnLaQX3/n0Nc28ezYDOAaZti2oWrznE5nQJlcPlkZQSsGBsGKOuqf/52lZsFFrmCzVlv1bdAzp//nzWrl3LsWPH9OvuvPNO8vLyWLduXaPrKiwsxMPDo1Eee0u58uZkDfYnpnHLF4cN1qmALfOGGzyMNob1h5OZ/eMJKq/wK+s6Xkp2AaMW7TB4R6sCNs4ZQpQmHra+pUQ2A/3k7Rp0qFDNPV7njXHrN28b3eBH1fHA8OmGYyzfdIgwVRapOn/uHduXR8b1rPOcXDh7msyzxwmI6mHgyF5JY8pdWe9do3rj2cGBH/ancTTr8psyJzV4anOJUGWRovPnvmp9Rhxcgbx6DpKs1Tuq1HZUK8vg4HL4c77xvnd8BzETr/p9bME+bUWH1TSc2wbLpxit1vW7F1W/GcpDo9r+8oZa9qBDxSL7mXxcdC0Ajmr4V08f5tzQk1X7ztZp/1dytd+JRqNh4cKFLFiwQH+TMeXvpLHltFotu7ZtwKGqkKBOvSxWb+2y6WeOUmHnzpBrx13VNizRNua+djW2nDnOSVM1piUe5u/9J3ny6Reu+hBky+fkyt/dnaN6E+HrxsYTGexMLiS7VLnJTldvafBFEgVpyEt6INV+UYkErv5QnHl5VUAv5d6h08JfzynOhKSCKR8Y3lOaiS1cx21JR13XUGvQ4vao60V4Dd6dSHXvx6fnQ1lTEsP16v0G9vpC1YNMuXsOnf09SE89R8/usaRfKmXUoh34ozz/JOv8ycanzmfSq92f9MgyF/9Zge/GJ4yk3V7xIrt13RgW5sKzE7vTO8LPZLbxzbZTvLRWGQn40CA/7FUqlu7OJMLTjq0LGg6Kags2agr7bIo/ZVM9oMXFxSQlJen/P3fuHIcPH8bb25uwsDCee+450tLSWLFiBQCzZs3i448/5tlnn+WBBx5g8+bN/Pjjj6xZs8ZaX6FVkFOsMVqnAxIy8pvkgK45cJY5P5+iUgch7mrSC7XoUJzK+WPDjI4V7ufBgrFhLN90iHBVJim6AB6NLSdy/f1wdqtSSGUP/e9F8gxH3viq3slSTVly1beyo+5+jgtnb9Lf4Edd5Qb/yLie3NA7jISMfKIDPev9riFRXRt8OGpsuavVe9eIWOLTclm+PZE/TuZSWAGZ+JCpU4aEvb0plV+PZNClowsRHTvQyc+N6EBPtl7sw9dlSwivcVRz+/JI7QrtnaHrFFj3nPEN4s8F4N0ZfKMb/G4CK1GSY7RKllTII54GrzCjbZ/m9uWrantI1vmTWe6Doxpu6uHDnBt6EODlCjTe/q31O2lKOU/fkEbdqE1db03ZwPAunDp1yqJ123o5U5+Tpmr0DY5k3e7604zZchte7Xc3uX8UOp2O46k5fLolnh/jR7NN20v/oJ6JD4nf72f+hG4M6hKoHMwjGHnSYlgzV3FCJTVMWQJ97lLutYe+htNrIPMorH3aUIisg9VzoNNYk/WECtoYB5fX6XxmjP2QeUfD2HW6FAA3B4nc0Clce6aXgcM4PDYErVZLjp0KlUqlfzZ8ZxNk6nyu+gwJjbg/SRK+Pa9Dt1GFilojg4DAkEikVPgntZQbP9nHqChXnr4hFoCUiwUkZRYSE+TV5I6YPw+d45U/FedzWjdPnr+xPxdyi1i6O5OU/CoyLxXr78OCy9iUA7p//35Gjx6t/3/evHkA3HvvvXz11VdkZGQYpCaJjIxkzZo1zJ07lw8++ICQkBA+//zzVp+CxdxEB3oigdFskYPJOYztGdqoENC/7Uvi6V/jqdTBwGAnVsy8luyC0oYfbn0OMdP5SWWYKSDVTBFQ2UHfu2HE0+AZCoDU42bIO4vkHdXgjbCxDwLhfh5NvriYgqvVGxPsw1u3+3DNngSe+DXRaPvpnEpO5xQAV8778yGj2lF9Z1MqN/S+4mLtEay8xV49RxkSI6nAyQPyU+Dz6+DWZdD5OtN9QYFpuHAAfv+/6n+UX6ksqUnv9wwB7sa/gZTsAt7elEptewD45r6+DOwSZFS+sfZvrd+JQNCeudrvTqVS0SvCj2cnObI2fofBi0qAA+nlTP/iIDE+9tw5MITpQ7vg0PcedhYFGPdKdx6r/JXmwdEfYc9SuJRsWKGshbyzwgEVGKLTKSPVtr1nvAkV0/+UOK8rRSUpjtgL0/rS0d2FlOwCk774bPD+5BGMauoHl0eKodxNF08K5l5dFO/+eZKdqaVsOVvM30v30dlTTeKlFH25pkxJ25OQztyVJ9HKMCK8A+/fNQSVSkWYrweRnnacy6/iz8Op3D+6W6OO156wKQd01KhR1Dci+Kuvvqpzn0OHDplRVdsj3NeDWf3d+fRAIbXfYS3dlcmhC1tZcueget/WrNydwPzfEtHKMCTUhS8fHoGTg13DF4WCNFj9pH5YUI0TLHe7CdW415Q5BLXxCG43N8CuwV5GLwUkYPawAC6VVpGcW0paQQUXCquouuInctXe634zlLfYeWfBOwrUDvDD3XB+N3x7K4x/CwbPMp7BL7AOWSfh25uhohgiR8LkJVCYhs4znEtphQTUscv6o3XnCs4vFdEuBYK2xuWeolT9aKPpvb3JKNCwI6WE+NxKXll3jvc3J9PFx4GDGVpkOiBtOsOCsZWGD9Uu3nDNLIidDEt6GscV8I6y9NcT2DLlhfDLTEj4E4DzHgMJyj+AutaczfM6H3r5O/L6jb3oHemn39UqLz77zUCqfv6RDnwFx1fCX8/R56HN/O+x0exJSOe9dafYn15OwqXL81ZlrvJSvw5Op+Xy8DeHKddCL39H/vvgMOzUlztwhkZ6cu5QDlvjs4UDWgc25YAKLMekWC9uHdGdM1lFRPm789Oes3y2O5Pd58u4fvE2/t/kaG4c1Nlov+//ieeFP5L0b3s+f2g4jvaNNKO8M0bDNiRA1/9+Y+eznRHu686Ejnmsy/E2GMZ85Vu4s5mXGLtkp1Hv9ZmsQsbVdeArnfh7f4c/5sHhb2DdAsg+CRPfBzvrReQTAHnn4OuboOwSBA+A2/8Hjq7gEwVaLaQVGu2iqazi671pRutVKKMcBAJB2+NqPUVpuUV8sfU0q45dJK9c5kDG5ak29T5Ue4QYjpYBZchu1ol28wJY0AC5Z+C7OyAnHtSO5IxayLVr/A3mbGbiw/zRoTwyrkejRtFZhJrnH98YSFgH6Yfg2E/Q+zYGRwexMjqID9YcYvH2dIPddMB3OxN5dmq/q36XtNwi7l22l8IKmUhPO5Y/PBxnB3uDMuN6BPHtoRz2pZVSWaXF3s66wYVsDRuxEoE1CPf1YFzvcDoFeLFgWn9+eLA/oe5qCitk5vwSz+wvt1NUpiElu4D1h5P54M/DPF/tfI6OcmXZwyMa73wCqIydHFlSgXekCb9V68W/5CzrHh/EZ3f0YMu84XUOAYkK8GLB2DCjH+7Czam8/ss+dLo6ggLUxs4Rpn0M17+pvOU+uAJWTIPMY0rwm0Jjh0ZgZgozlHNQnAl+3eCunxTnswHeWnWQ1EItDurLAbvqmzsjEAjaBuF+yr279u882MeNl28eyJ4Xx3PfAF+jfWpGytRJvxkw5xjc9TNEXAu6Svj+Dji20jxfQNB6SNoIn41WnE+3IHjgTw66jUFGiVmxW9eNTJTh4J0DPGzH+ayNqx+MUKb0sek1qCjVb5rSP9wogwPAJ7uzGLlwPf/deIyyCsMRRZeKy7n7s51klejw76Dim4eH4uXqZHSM4V2DcbWXKK2U2XFaPFtdiegBFegZ0DmA9U+N5cWf9vHz8UusiS9k+9ubKKqQDXrcxnV2Y+n9ww2GGjRIlQb+WmCwqr65be2VcF93okOMHx5qU/sNeKSfG//ZeJpfTlzii73ZJGZv4z/3DsXVuZ4eTUmCoY8rbwVXPgCpO+GT4YCSC9Kr37MQG2vKryW4GqV5Ss9nfgp4RcI9vypD4xpgd3w6Xx+8CMDL46MY0TWoUXNnBAJB28beTs3918awfP9Foykd9Y6MqOktihoJqx5Veop+fkgZlTHoYTOrFtgUBWmQmwTn/oYdi5WRayGD4LZvwM2fC/EnjHax+ZE318yG/V9BQSrs+hhGPgsYT0mTUIbTxudoOF+o5a2NqcRtP8/NvXx5ZGw3CkrKmbliP8kFVbg7SCx/YBDBPm51VmmnVjEgxIWt50rYcDyd0T2Mgwi2Z4QDWgutVotWq224YAvrqL20BvVpcLBT8e4dg7nuSArP/XaKfI3xnNxnJ3ZHQm7Sd5DWv4gq/RCysxe623+AqnK0HuFcyizG14ptAbZzTuzs7BptgyE+roT4KL1k7905mC6bTvDvLefZllzCtA+38Nm9Awn3bcARiRoDt36N6ptp+jeAkqwj6OC7VA65A7xCW/itmo+tnBOzatAUofrmZqSLp5DdAtHd9Qu4+CpDbuvRUVJewVMrj6KT4dpwF+4YpkQ0rrEHc+ltqo2ai3ZhG0JHszQI+1QI8XHl2dEhvLflgj7OQwd78HBxaIQuFUxbiuTogWr/57D2aXQluUoU7ibGC7CFtrA1HbZuo9Khr5FqoidXo+tzN/KE98DOkeSMPBZtSTHYRwU8OyaUEB/XRn8vi58TlT3SmJdQ/fow8o7F6HrfCW6BaLVaJsV68a+hsZzNLqRLoCfhvh7kFZXxxdbT/Hj4InnlOpbty2b5/my0tR6Jp3X3pkuAZ73fYVS0L1vPlfDPuYJ6y9mCjZrCPpvkF9hqHlBLEBcXR1xcHFqtloSEBHbt2oWrqwiVXMOOswUs3JlvtP710T70DW58O7ml/U34LiVZe8rQdykKGmYqiYJaHEkvZuGOPIoqZDwcJZ4b7kOPwA717tMh+wCR24zzZZ279iNK/PqZS2q7xq40G8fCs/id/JIOecepcnDn3Mg4NB6NC/qxdFcWa86U4+EoETc5EE9n+4Z3EggE7Y6sIg3n8jR8vPcS+Rq4MdqZhwb5NbwjgCzjd/IL/E59CUBO51vJ7P2EMnVD0CaxK80mZu3NSAbpSyTiJ/xMVQd/KrU6nl2XTuIlLREeKp4b4Ud2SSVB7vb4u1kvr2mjkWWitszCJe84lyImkTbg+QZ3qdTq+PtsIT+fLOR8kaG7pAI+mxZQ73fPL63knl/SkYEvGijbFiguLmbIkCGtLw+opZk9ezazZ8/WJ06NiYlpsMFaSo2zGx0dbbVks43V4NKxgHd27jIYxqMChvWObrh3rYZLKahWLwRAN+RxQsY+1GQd5sYWdGg0GhYvXszcuXObnQA4NhYGdr/EwysOkFJQxUtbcpg1xI7uIV7K0My6zlmwO/J2lcHbTllSEdzrWtRW7gG19jkxhwbp0NdIf15+uyyrHZHu+YWooKs7+7V1bDlxgTVnygF4bWIXhvSzXKRKU9ioKWirtiF0tAxhn8Y6SEhgRP+eeHid45nfk1idWMb9o33pEdaxcQfp9j66vdGo/nqOjkk/4e2sQh65QBnG6B0FDUyfsaW2sAUdNm+jyTkGzieAhEyXjnYQEcvzP+wl8ZIWZzv4z10DiAlueLpIkzWYG/f34cvxeCavxf26p9H69WhQR68eEBOWzKM/nTZYrwOqnLyIja0/iGb03xeJz60kvtCOUYPqnt5kCzZqCvssLDQOmHg12rUDeiVqtdpiJ96SdTVXQ1SAt1HI9/ljw4gKaORFp6oCfnkQNIUQMhDVda9CHfXZQltYW4daraaqqqrFGqKDO7L6yVHM/PIfdp8v46N/MoHMq+e28gozioBYGDAMV6/Qdn9OTK6hIA3WzDWIBC3pKlG7B9X5u7iSorJKXvg9HoCJMe7cOLhLyzU1AVPZqCn1WFuHLWgQOi7XLeyzbh03X9OFHw9cYF9aOS+tOsaqJ8c0PljMkMeUeemrHkN17Ac49oOyXlIp945+MxqlwVbawpo6bN9G6xgQKalRd+zMqgPn+OFoHgCvTuhMt7D6Y1U0X4OZCb8GetyCdHwl6o0vw92rGqWjW2hHo1R5KqBrsE+D+od38iI+N5ttibk8Nr7+sq39GtqU/cRYCkG9PDKuJ1vmDa83MutV2fgKpB8EJ0+45UtQi6GClsDdxZG3bu5rsK4mDH9KdoHxDjUREEc8DYBLfjzoqiygtJ1RRxoiZJ2Sp7URPLfyADllOvxcVLw1faAZBAoEgraISqXirZv7Yq+Co1kavt0R37QD9L4dpn5ouE7WKS8uC0R0zzaBTgubX6/+p3qur6SGKUs4W9aBF1cnAHBjN09uGxZjHY2m4rpXwc4JkrdD/NpG7VKTg7fGaWpKxPnxPUMAOJRRZhRRtz0jHFBBg9QV8r1BTq+B3f9RPt/0CXhabzhneyQp09jRrDcMv0cwXPsMsrM39mXZkLjBrPraJd6d4MqA75K6UQnf/0kuZH1iERKw8KZueHYwDvkuEAgEV6NLkDczBijzP9/fdI5LxWVNO4BnHRE8ZW2jX6AJbJy9/4W0A+DoDg9vgXv/gDnH0PS8k0e/3ktxpUwnL3vevn2QtZW2HM9QGDIbANWmV5B0jXMKm9shM6CTP56OEhotbDl+vtmy2xrCARWYnkspShh3gCGPQ8wE6+pph8QEedWZ28rNqZ5R9/ZOyH3uAkB1YJl5hLVnPIIhpFbPZfXb5YaSvWfllxC3Nx+AW3t5M6Zn/fNNBAKBoC6entyHQFc1+RqZ//frwabt7N3JOABRI1+gCWyc/FTYVN37Oe41CO4LkSPAI5iXftpHfG4lLnaw9J4BODu0kZFsw+eCqz9S3lm8k35u9G7N6ZBRqVRcE6akatl4IrPJUtsqwgEVmJaqCiW3ZHkBBA9QhjoILM6Vw0VqeP2Pk1RWXT1MttzvPuXDmc2Qd85s+tollWWQfVL5POFdZdhzA/OndDodT/9wgMIKmVB3Na/dPMACQgUCQVvE2cGelyYqaZtWnchnb2JG43f2CFbmfNZ2Qse82OALNIGNI8vwxzyoLIGwoVDzDAD8ujeJH6vnfb4ysTPRQc0POmRzOLop9gv4nfpKycltRkbHKqMPdqU0PkhPW0c4oALTUZAGvzwMafvByQNuFfM+rUnt4SJf3NkDJzs4cbGCV3/ef/WdvCMp8h+EhAwHvrKY1nZBwjqoKAaPMBj4cIMPbinZBbz44152ppailuC9m3vi7Ch+TwKBoPlM7BfFtREdkIEXfj2GVqtrcB89/WbAnONQE7VbDL9t/RxbCUkbQO2gzPOtDk51NjNfP+/zpu6e3Da0lc/7rIs+dyH790BdWYS08WU4t81sc5qv7xWOWoKMYi0nz+eYpY7WhnBABabh4ApY3B1OrlL+7zm97jkjAotSM1xkbK9wXhrfCYBvD+Xw+76kq+6TF3WT8uHQ11ClsYTM9sGxlcqy5836m/zV+HTDMUYt2sH/DucC0NffjoGdA8ytUCAQtAPeuLkfTnaQmFfJ55tPNG1nj2CY8I7y+ch3ypQbQeukNBfWzVc+j3wWOiqR1RPSc7nni12UVMp09rbn7dsGW1GkGVGp0Y1Thh5LR/4Hy6fAkh7K86yJ8XJ1orufktpk3VExDxSEAyowBQVpsPpJDAJU718mouPZGHeN6Mq0bp4APP97Auey8ussVxQ4FNktULk5nVptOYFtmbJLkLhe+dzz1nqLpmQXsHBTqkG494OZVaRcrCOCsUAgEDSRMF93Zl4TBMBH286TlV/StAOEDoKo0Uq09B2LzKBQYAmk9S8q93m/bjD0SUB5+Xn9h7tJK1J6xsdEe+Pk0IYzNvp0RqZWeEAzRnce0UkZwrw90bzDfVsLbdiqmo5Wq1WSN5u5jtpLa2ByDTmJqI3SS2jR5iSB69V7bWyhLWxFh1arxc7Ozuw2+OatAzj+4VbOXKrikRV7+fXxkQY3F61WCyo7tH3uwW77u8j7PkfX7Saz6bkatnJOTKVBOvEbKm0Fsm8suo5doZ5jnkrLNcrGpgMS0i8R7tuESNQmxlI22hgdtZftVYPQYaxB2GfjdTw2rju/HcsmpaCKl38+wH/uG9a0CkY8g/rsFuRD36IbNg88QpqswVLYkg5bsVHXzD2ojv2AjIRu8hKQ1KRk5rFwU6pB2c93Z3H7NXkmv/fYyjnRXUzCKHNlI55fm8P1PYOJ25nBsexyLhWV4u7iqN9mC+1hCvtsyn6SLMt1ZJ5tH8TFxREXF4dWqyUhIYFdu3bh6upqbVmtDruSLGL+/JdB1FVZUhE/4WeqXPyspktQN+kFGub8mUlpFUzq7MSj1/gblbEru0jM2puRZC2J475G4yEiHbaEiL+fwPXiATJ7PEJO1/oDD2UVaXjot0yjhNefTQvA383xarsJBAJBkziaXszzm5Vh/s8O8cTVUU2wh32jrzM117XcqJvI6Pe0OaUKTIhUVUaX9ffgUJpBTudbyewzB4CDF4p5eWuuUfnXR/vQN7htPhvblWYTs/ZfStyLasz1/KrT6Xjw1wtcLJNZMMyL4ZHuJj2+LVBcXMyQIUMoKCjA3b3+79eue0Bnz57N7NmzKSwsxMPDg5iYmAYbrKXUOLvR0dGo1UbvXSyCyTWcyUAC/TAGWVIjT1pEl74jLaujmdiCDo1Gw+LFi5k7dy6OjuZ1MmKB16Qknvk9iTVJ5Vwba8ct1yhzP2raIqr3MEiaAPF/0Cl/G/I1k8yq6Ups4ZyYTENhOqqLSsoD39GP4tvA3OhYoOP6v7hYptwQVcAj/d0Z0b+nVX8nlrTR+mhTtiF0mAxhn03XERsLW8//w/rEIt7dlQ8o9/D5Y0J5eGz3hitxeRVWTME7ZQ2eU/4fuBsGVmtNbWEJbMVG+esF1KUZyO4heN38Pl4OinNp55EHVzigKmBY72iz9IDawjnRaqNJz5pP0IGF1c+vKuRJixt8fm0uQw8V8tupAo5e1PLwxNhaOqzfHqawz8LCxkf5bdcO6JWo1WqLnXhL1mV2DbvjAJD63AO9b0PyjkJqQmh2W2gLa+tQq9VUVVVZTMOtQ2PYey6Pn47l8dqfZ+gb6WcQYl2tViMNehDi/0B19AclnY6j5d+A2oJttFjDqd8AGUKvQe0T2WDx/WcyuVgmowLemdqZ/lG+lOakW70tLG2jjdFjbR22oEHouFy3sM+m63hkVDTrEw/o/5eBdzefZ0KfRuQ6jLoWwocjpexAvesjmPheszRYCmvrsAkbTTuAvO9TAHST3kftfPkcH79wyaCoCpg/NoyoAPOlX7H2OQG4FDmFwKIjSAl/Il0zG2nAfWara2y3AH47VcDu88VIkoTqioCErf0a2pT9RBAiQcvIPAZntyi5wUY+o09eLLB93pg+kBgfe0qr4MGv9vLH/jOGgW4iRylJxjWFcHyltWS2fo79pCx73tKo4it2KBGKh4Z34NahMVad9ykQCNo2uUXlRut0wNPf72f7qQvodA2kaRn5rLI8sBwKm5BXVGB5LqXAygeQZB35oeOg8ziDzd/vU6KzTu7qwWd39GDLvOE8Mq6nNZRanogRyjInwazVjO0ZhoMK8sp0HE7ONmtdto5wQAUtY+fHyrLbjeAVblUpgqbhaG/HJzMG4aiG84VaHl95mrFLdrHmVPVbUJUK+t+vfN73hZKwWtA0chIh4zBIaujecDCn4rIKNiYqLwHuHCzSGAkEAvMSE+RlEL+hhn3p5dyz/Agj3l7P26sOkHpRGVqXkl3A+sPJpGRXv6yMvBbChoBWA/98YDnhgqZxcAV80BsuJSMDpd6xBptTLxZwIF15GfHY2K6M692IHvA2hBzcX/mQtt+szzodnBzoFeAEwLqjF8xWT2tAOKCC5lNw4XLP2ND/s64WQbNQSRIVtYKWycCnBwov94T2vRvUjpB5FNIOWkVjq6Ym92enMdChY4PFf9yVSGkV+LmoGN87wrzaBAJBuyfcz4MFY8P0D4Mq4NaeXozt5IqDCtKKtHy6O5OR72/n2rfWMWrRDmZ+f4JRi3bw6YZjIEm1ekG/hKIsa30VwdW4IlWeBAQe/RgKL6caWbE9ARno7utAt9CG71VtjoCeoLJX0tJcSjZrVSO7KO2748ylBkq2bYQDKmg+ez5R8oCFD4fgftZWI2gG8emX6kz5cSQ5R/nHxftyz93+LywprfUjy7WG39af+7OGnw6mAzC1R0fUanF5FggE5ueRcT3ZMm+4ftjle3cN5YuHR7Ln+bE8NzaMrj72yEBqoVZ/v5CBdzalKj2hUaMhZBBUlcPOD634TQR1kndGyW9ZC0nWQd45ALRaHb8fV+75t/Rrp1Oo7JwUJxQg7UD9ZVvIhD7K6KbTORXkFJaatS5bRjzhCJpHeQHs/0r5POwJq0oRNJ+rDb96Z8MZTp6vdkIHPKAsj/8MZe37jV2TSD+o3PjtnKHrxAaLH03O5lROBSoJZoyIsYBAgUAgUAj38zAadunl6sQj43qy7pnrefn6CKN9dEBCRn51L+h8ZeW+L6D4okU0CxqJdyejVbKkAm8lKN6Goylkl+pwsYNbr+lsaXW2Q8gAZXlhv1mr6RzoRYibGp0Mfx1JMWtdtoxwQAXN4+AKqCiCjjFGE9kFrYcrh19JgLMdZJbouOXTPfy2LwlCB4F/D+Xt9uHvrCm3dVEz/LbrRHB0a7D4in+U4EMDg50J8217+cEEAkHrZWyPkDpfVnbyr75WdR4Lwf2hqkz0gtoaanuDf2VJTXq/Z/Vpc77bozhBY7t44OrsYHF5NkNwtQOaZl4HFGBopPKiZ/Pp9huISDiggqajrYTdS5XPQx9XgtUIWi21h19tmjOE/0wO0kfHnfNzPG/8uh9dTTCi/ctEMKLGoNMqPcbQqOG3ZRWVrDudD8Dtg0TwIYFAYFtc+bKyhsV/nVAi5Rr0gn4OJTkW1yi4Cqf/UJb+PeDeP9A9cZhLkVMAyC4o4Z/UEgDuGWrcU9quqOkBzTgKVRVmrWpc9yAA9p4vQattINJ0G0V4DoKmc/wXZfJ6Bz/oOd3aagQmQD/8ytcDX1d7fnl8JJO7eiADn+/N5sE9Qcj2HSA3EZK3W1uu7ZO8HYqzwMkTOo1tsPgve5IorpTxcpKY3K/hXKECgUBgaWq/rJw7MhgJWH2qgBd+3KsU6HI9BPaBylLY+jYkb8eutP328NgMp1Yryx43K6ny3C/P8/xmRwJVOojytGNQl0ArCbQRvKPA2UuJ6Jx1zKxVXdstGGc7KKqQiVt/1DAFXjvBztoCbAmtVotWq224YAvrqL20Bi3SIMuodn6IBOgGPoyssodmfhdbaAtb0aHVarGzs7OIDTakA8BeLfHBPUPovukE7289z5Y0mVUuQ7mJDZRsWcSJxAz8o3oQEtnVrDpsoS2ao0E6+iMqQNdtGrKkbvA38sN+JRrhpFhvVJJhnbbQFjX125KNtncNQoexBmGf5tcR4uNKiI8rY3qEYK+SeHfLBb47nIurwz4WTOsHI55B/eNdyPs+R73vc2JQoeV9tP3vNamOpmBL58TiNlqWj+rcNiRAGzMJatVdWVnJr0eUqMU39fa3aPvY0jmpvVQF9UM6swnd+X3IAX3MVq+dSiLQ1Y6z+VUs+juNxX+nMau/O9HRrfsa2pT9JFluv+Pp4uLiiIuLQ6vVkpCQwK5du3B1dbW2LJumQ9Y+IrfPQad2In7Sr2gdxFy1ts6JzBIWbs8loCKZPx2fQ5aV0VZaWWJ98P8ROvQ2a0u0KSSthq5/TEVdWczZkR9T6tu33vIX8jXM+iMTCfh0SgBBHo6WESoQCAQt5Mcjuaw4VgzAA71dmR5VRcyf/zKYLypLKuIn/EyVi591RLZjPFP+JGTfG5S7R5F0/dcG205kljB/Yw72Klj+r2DcnUSflN+JL/A7tYz8sPFcGPSy2erJKtLw0G+ZBlkIVMBn0wLwd2u9zwDFxcUMGTKEgoIC3N3r9w/atbXNnj2b2bNnU1hYiIeHBzExMQ02WEupcXajo6NRq9VmrcscGlSHXlI+9JtBdO/BVtNhSmxBh0ajYfHixcydOxdHR+tdfOpqi9hYGNK7iGe/yEcuU5xPALUkMy7tY9Kcbjd5T6gtnJNmazj9B+rKYmS3QMJH3A5S/TMdvv1pHwC9AxwZe00f0+kwMbZso+1Rg9BhiLBP6+h4JRaw38+KgzksO1JMf4ccrrwbSLKOLj5qiIg1m476sJVzYg0bVR19AwCHPrcQG6u0f017bEnRADAiwpXBfXtaRE8NtnJOjHTYj4dTy/AoTsIt1nz2euFoCjKZBut0QKWjJ7GxEWartz5MYZ+FhYWNLtuuHdArUavVFvshWLIuk2nIPA5nNoOkQjXkMTCRfltoC2vrUKvVVFVV2WxbhPl6MqevCmmXYTk7ScfF5FOEd+5uER3WoMkajivRb6Wet6C2s6+3qKayij9P5QFw+8DQeuuxdlvYuo22Vw1Cx+W6hX1aR8ertwykWLObX05c4o19EhOdVEhcDqwiS2rUHTub7JmhuVj7nFjcRjXFyjMboOo2zaD9Syq0bDlbBMBd10RY9XdrU7+T0EEASHlnUGsKlFzoZiA22AcJjHpAo4O8WvU1tCn7iSBEgsaz62NlGTtVnz9K0H4I6dIHnWwYiL9KVhEQ1cNKimyQ8gJI+Ev53IgAXav3nyVfI+PuIHHjwHYegVAgELRKVCoV7915DeO7uJGBD89VPohcPQhXBuRJi8AjuP6DCExP4noloI53FPgbviTeeqYQjRYCXdWM7hFqJYE2iIv35bypaQfNVs2VUaVVwCP93Qn39ahvtzaFcEAFjaMgDY79pHwe+oR1tQisQkhUV7Z3fkafhUUrS+zo8iwhUeYJRNQqOfWHcsPvGAMBDQ9p+n7feQBu6OqFk4MYkCIQCFonarWKuPuGMzy8A99rR/OI5kkASmQnvrhonhEyggaoiX4bO+Xy3JlqNpxVUq9M6+mLSqTSMyTEMvlAa0eV3jhnCJNivcxan60hrE7QOPZ+CroqCB8GIf2trUZgJUbe8wIXvfoA8EHVLfSaNseqemyOmpc0PW81uuFfybmsfA6klwNw34gu5lYmEAgEZsVOreLlacqLtw3yAC7IHXGVyjm0/Q9SsttfmgmrUlmu9IACxE4z2HQkOZukS1rUEtwzPNoK4myc4GoH9IJ5HVAwTIHX3hAOqKBhsuNh72fK56H/Z10tAqvTsfcEADqp0vh6e7yV1dgQ6Ufg7Fblc8+bGyy+fHsCMtDd14FuoR3NKk0gEAgsQXK2Mq9QRsUf2iEATFH/Q0JGvhVVtUPOboGKYiXnZ5BhJPZvd54FYFCIM8E+btZQZ9vUdLKkHYD2myjE7NikAxoXF0dERAROTk4MHjyYvXv31lt+yZIlxMTE4OzsTGhoKHPnzqW8vNxCats4B1fAfwYriaUBikVS6faOKvwaAPqrEvj5cBY6na6BPdoBB1fAf0eiDymQvKPe4lVaHatP5AIwvb+YGyUQCNoGMUFe+hQsv2mHAjBGdZgYb5t83Gy7nPxdWXadDLWG2JZVVPJXgtIbfdsAMfezTvx7gtoRyvIg76y11bRZbO6K8MMPPzBv3jxeeeUVDh48SO/evRk/fjzZ2XU7Pv/73/9YsGABr7zyCqdOneKLL77ghx9+4Pnnn7ew8jZIQRqsfhKDOF1/zFXWC9ovwQOQJTUhUg6VhVlsP9XO7aGu38nqOfX+TtYePEtumY4O9hLTh4jhtwKBoG1QE1xFAk7JYSTognGUKgnL2WZtae0HbSXEr1U+d5tqsOmXPWcorpTxcpKY0DfC8tpaA3YOENhL+Zx2wLpa2jAmdUBlWUZuYXf1okWLePjhh7n//vvp1q0bn3zyCS4uLixbtqzO8jt37mTYsGHceeedREREcP3113PHHXc02GsqaAR5Z0C+ondL1oo3Qu0dR1ekACXy7QBVPF/vbOf20MTfSUp2Af/5W9l2fbQHzo71p2oRCASC1sQj43qydd5wor0d+L26F1Q/P15gfpK3Q3k+uHSEsCEGm346cAGAMRHO2Kltrg/KdrDgPND2iknCLq5YsYL33nuPxMREAKKjo3nmmWe45557mnSciooKDhw4wHPPPadfp1KpuO6669i1a1ed+wwdOpRvvvmGvXv3MmjQIM6ePcvatWvrrVuj0aDRaPT/1yROvXK9OdBqtVRWVqLRaKyaRL1RGlxDcUBCqtWzI0tqKlxDwATtZAttYSs6auzO3PbXEI1tC3XwIOwyjtBflcCb54aSnpOPj5uzxXWYkyb9TiQVkmyY966u38myrad5d8sF/S/K3dGuwXNuC20Brc9G27oGocMQYZ+2pSPAw4lHrw1n8W9DeZqfkM/9TUVuKrj6W1yLtduiBkvZqN3xVagBbfQEqiqrgCoAtp9O43CmUvd1US7iGlqPDpV/b+wB3fl9VFrgmmIL7WEK+2zKvpLcwi7LRYsW8dJLL/H4448zbNgwAHbs2EFcXBxvvPEGc+fObfSx0tPTCQ4OZufOnQwZcvmtzbPPPsvff//Nnj176tzvww8/5Omnn0aWZaqqqpg1axZLly69aj2vvvoqr732mtH6BQsW4OTk1Gi97YHH5C/x5RIAOiT+4DoOSQ2nlxC0bbrJ8dzKGuKJYHz5W1zfsYDgkkRry7Ia/5LX0BMlINPVfieV9h34tjDWKPH0ne6nsK8ssZxYgUAgsACyDGulAXyqfZm+qiT+ZDR7pb4N7yhoNpKsYx7/xZVSvuEmzkhKzvasDlGszfHWl5vYMQ//knY+eqkePOV8nmQZVahZyGy0kkiT1hjKy8tZuHAhBQUFuLu711u2xQ5oZGQkr732GjNmzDBYv3z5cl599VXOnTvX6GM1xwHdunUrt99+O2+88QaDBw8mKSmJJ598kocffpiXXnqpznrq6gENDQ0lOzu7wQZrKVqtlvj4eGJiYqz65qlRGjRFOCyJQdJVUTElDjlsGLgHWV6HmbEFHRqNhsWLFzN37lwcHR2togGa0BZFGTh+3BsdKnqWf4anmysb5400WT4xWzgnTdFg99ss1Cd/QdvzDqqunV/n72TTsfM8ttI4avDSW2MYU08icFtoC2iFNtrGNQgdhgj7tD0dWq2Wd1ftRTqxklfsv0YX1J/Ke/+0ig5rtwVYxkal87tx+GYqsqM7FU+eBLUDKRcLGf/xXqOXn38+NoAIf0+z6GgIWzknV9Uhyzh80A2pLJeKGX8iB5s3/aAttIcp7LOwsBA/P79GOaAtdukzMjIYOnSo0fqhQ4eSkZHRpGN17NgRtVpNVlaWwfqsrCwCAgLq3Oell17innvu4aGHHgKgZ8+elJSUMHPmTF544YU6H4gdHR3rbNyrrTclWq0We3t7HB0drXpTaJSGsxuU3J/eUTj0v9t6OsyMregAy9hgfTS6LRwjwCMMVUEqA+2S2FrUk91nLjK6R5hldZiRJmlIV+aJqPtMR+0bWWeR7mG+SMQbPQR0C/Wt95zbQlvUptXYaBvXIHTUjbBP29Gh1Wq5IcaTZ05cw4vyN6jTD+BYkg7edV8jzanD2m1RG7PaaNI6AKSYCTi6KClWknNKuLKnSQck55YQE2b5IdFgO+ekXh0hAyDxLxyyj0KUsZ9jMR0WpiX22ZT9Wtxd0blzZ3788Uej9T/88ANdujQtuqODgwP9+/dn06ZN+nU6nY5NmzYZ9IjWprS01MjJrDl5LQ2I1O5J2qAsO4+zrg6BbRI2GIBbvJMB+Hpn40c7tCmKsiA/FZCgnrek4X4edPdz0P+vAuaPDSPcr/0loBYIBO0DV0c7+kVHsFPXXVlx/GfrCmrLyDKcWq18jr0c/TYmyMuoqAroEuhpGV2tlZDqQERpIhCROWhxD+hrr73GbbfdxrZt2/RzQP/55x82bdpUp2PaEPPmzePee+9lwIABDBo0iCVLllBSUsL9998PwIwZMwgODubtt98GYMqUKSxatIi+ffvqh+C+9NJLTJkyxepvEVo1sgyJG5XPXYQDKqiDsGvg2E8Md04GYHtyMdkFJfh5dLCuLktzYZ+y9O0KTld3JssqKjl3qRKAR4f4c/uQLsL5FAgEbZ4HR3bh64ShjFAfR3PoexxHPAWS1PCOgqaRfggKzoO9C3Qao18d7udBR2eJnDKlU0YFPNLfnXBfcf+pl5oXyiISrllosQN68803s2fPHhYvXsyqVasAiI2NZe/evfTt2/TJ5rfddhsXL17k5ZdfJjMzkz59+rBu3Tr8/ZVhAqmpqQY9ni+++CKSJPHiiy+SlpaGr68vU6ZM4c0332zpV2vfXDwNhRfAzgkihltbjcAWCb0GAI9Lx+jkIXGmQObr7Qk8NbmdBZmocUBDB9Zb7Ld9ZymplPF2knhqcj8RAl8gELQLuod2JN1nBJqCZTheSoSsE1CdyktgQmp6P7uMAwcX/eqMvGK98/nOlE4M7ORHaU66NRS2Lmoc0EvnoCQXOvhYV08bwyRhnfr3788333xjikMB8Pjjj/P444/XuW3r1q0G/9vZ2fHKK6/wyiuvmKx+AZBYPfw2YjjYmy69hqAN4RcLju5ImkJm9ixh/j4Xfj6cxdyJOpMFI2oV1DigIYPqLfbzQSX/2viu3sL5FAgE7Ypbhndjy+q+3KDeh+bwDzjeIBxQkyLLcOp35XOt4bcAG46lAhDhYcdtw7qi1Wo5JRzQhnH2BJ8ukJsIaQcg+nprK2pTNOspqCZvZs3n+v4ErRT9/M/rrKtDYLuo1BCi9PpN8c3CUQ3pxVo2Hz9vZWEWRFsJaQeVzyFX7wFNzyviQHo5AHdcE2UJZQKBQGAzTOkfxd/2yjQtzaEfQadrYA9Bk7h4GnKTQO0AXQwdpW0JFwG4JkIMuW0yYh6o2WiWA+rl5UV2djYAnp6eeHl5Gf3VrBe0QjTFkLJL+SwCEAnqI0wJDuaSdYAxnZSQ29/sakfBiLJOQFUZOHpAx+irFvtuZxI6GTp729Mrws+CAgUCgcD62KlV+PW+gSLZGXdNJrrU3daW1LY4Wd37GTUanC6nv9DpdOy/oOSZHtXVOhFvWzViHqjZaNYQ3M2bN+PtrSS03bJli0kFCWyAc9tAVwleEeDTydpqBLZMdSRczu/h3slv8mfCIXaklJCVX4K/ZzsIRqQfftsf6hl2/Mdx5YXd1J7C+RQIBO2Te8f0YeOBAdwkbefCtuWERZg3tUW7omb+ZzfD4beHzmWTr5FxUMHI7iFWENbK0feAHlCGOYvgWSajWQ7oyJEj9Z8jIyMJDQ1FuuKkyLLM+fOtayieVqtFq9WavY7aS2vQkAYpcT0qQNfpOmQzDpOxhbawFR1arRY7OzuL2GBDOmovGySgDypJjVSYxsCOlXTysuPMpSq++vs0T0/uYzkdZqAxGqTze5XfSvAA5KuUO3Qum3P5VagluHVwpyZ/J1toi5r6W6WNtlENQoexBmGftqXjSg0eLg5cCLgOsrfjce5PtBXloLa3uA5rYTYbzTuHOusYsqRG13k81Dr2xuNpAPT0d8JBrTKo25Zsw2Z1dIxFZeeEVJ6P9mIC+HS2jg4LYAr7bMp+ktzCZJlqtZqMjAz8/Azf7Ofm5uLn52d146qPuLg44uLi0Gq1JCQksGvXLlxdXa0ty7rIMtF/3oJDaSbJw96jOFC8oRTUT9SmB3G5dJrzg17hm+IBfHqwiIAOKv47LbjNByPq8ud0HEvSSB7+PsUB19RZZunuLNYklTMo0J6XxwZZWKFAIBDYDmezixn69610lAo51G8h9lEjrC2p1eN3/FP8Tq+gxKcX50YvNdi2YF0ax3OquK+XK7f0ElFcm0Pklll0yD3GhYEvkR9+g7Xl2DTFxcUMGTKEgoIC3N3d6y3b4ii4siwb9X7WiHBycmrp4c3K7NmzmT17NoWFhXh4eBATE9Ngg7WUGmc3OjraanlK69VwMR51aSay2pHQ4beDg/mGUdpCW9iKDo1Gw+LFi5k7dy6Ojo5W0QDNawspdSTsPU2w7gKzJsxi+dEtZJboSKty5fre4RbTYWoa1FCSg7pEebsces1NSsS8K6is0rLjJyUC4fRB4cTGNv3tqS20BbRuG22LGoQOQ4R92p6OujTExsKfu4YyuXIdctJGYifNtIoOa2AOG5UOfY10egUALrnH6Fa+H7nvPQAUl1UQn5cCwE1DuhIb1hGwjfawBQ2N1SGdHw65xwiSMwiMjbWaDnNjCvtsSvDZZjug8+bNA0CSJF566SVcXC7nHNJqtezZs4c+ffo09/BWQa1WW+zEW7KuJmk4uxkAKXwoamfzOuP16rAC1tShVqupqqpqnW0RPhT2forq/F683Fy4rrMHf5wuYNmOc6hVKmKCvAj3a170PVtoj6tqyKiOftsxGrVr3W+WVx84R4FGxt1BYsqATi36LtZui1Zto21Yg9BxuW5hn7ap40oNLn1vgb3riCnYQXlpMR3cLBOd1dptYXIbLUiDNXP1/0rISGvmKXlAPYLZdjqdSh14O6voGe5rNCLJ2u1hKxoa1BE6EPYsRZV+AMystbVfQ5uyX7Md0EOHDgFKD+ixY8dwcHDQb3NwcKB37948/fTTzT28wFrUpF/pIqLfChpJWPXQ0+wTUF7IfcM788fpA+xLL2ff9yeQgAVjw3hkXE+ryjQ5jcj/ufKAkvvzui6eONqbJO2yQCAQtGpGjLuJ9L0LCJJy2LRmOWNvf8LakloneWdAviJOh6yFvLPgEczW01kADApxbfPTYcxKcHUgoszjUFkO9rY9urO10Ownoprot/fffz8ffPCB2YeuCixARQmk7FQ+i/QrgsbiFgCe4ZCfAhf24es+wGCzDLyzKZUbeoc1uyfUJjm/V1mGDKhzc05hKbvPK+Hvb78m0lKqBAKBwKaxt7cj2W8cQdnfYRf/O38dmkLXYO+2dX+wBN51ZCmQ1OCt5Jrek6IMhxwR7WtJVW0PzzDo4AslFyHzKIRe/aWzoPG0+JXIl19+KZzPtsK57aCtUH5sHbtYW42gNVHTC5q6m/j0S0abdUBCRr5FJZkVnRbSqofgXuVm9MOuJKp0EOZhx4BOIv+aQCAQ1BAz/iEArtEd5Mefvub2Rb/x6YZjVlbVynALBIdagTMlNUxZAh7BpGQXcKFIiwRc3yvMWgrbBpJ0uRdU5AM1GSYZE7Z//35+/PFHUlNTqaioMNj2yy+/mKIKgSWoGX7beZzIdSRoGqGD4egPcH43MT0eR0Lp+axBBUQHelpHmznIPgmVJeDgBr5d6yzy29FMAKZ0N557IxAIBO2ZYrcuVOq8CFBd4guH99HKEi9sfYiU3i+JntDGcvEUVBSD2gnu+B58o8EjGIC/jirB7zp72+Pr4VLfUQSNIaQ/JPwJacIBNRUtfir6/vvvGTp0KKdOneLXX3+lsrKSEydOsHnzZjw8xEWk1SDLkCjmfwqaSdgQZXnhAOE+HVgw9vIbVwmYP7aNDb+tmf8Z3A9UxpPuT57PISG3EpUEdw4TowkEAoGgNslnTuMnXR4to5Zk3rD7gpSzp62oqpVx9m9lGTEUOo/WO58AO5JyAbgmog3dd62J6AE1OS12QN966y0WL17M6tWrcXBw4IMPPuD06dNMnz6dsDDR7d9qyE1S5vCpHSBC5OUSNBHfruDkofQKZh3jkXE9eXxYAAD+HVRtLwDR+WoH9CrDb/+38wwA/QKdCPZxs5QqgUAgaBXEOOWhumKglZ2kI9rReAqH4Cqc26YsI0carK7S6jiYVgrAmG6BllbVNgnuB0jKc3JJjrXVtAla7ICeOXOGSZMmAUr025KSEiRJYu7cufz3v/9tsUCBhajp/QwbAo6u9ZcVCK5EpbocDTZ1DwAPjOqGWoLMEh1HzmVbUZwZ0EfAHWi0SavVse50HgA39Q022i4QCATtnYCoXuiueATVoSIgqo29rDQX2ipI+Uf5HGXogO5NzKC4UsbZDobGBFlBXBvEyQM6RiufD3ylpMARtIgWzwH18vKiqKgIgODgYI4fP07Pnj3Jz8+ntLS0xQItiVarRavVmr2O2ktrUJcGVdIGJEDXaSyyhbTZQlvYig6tVoudnZ1FbLAhHbWXTUEKGYQqaQO6lJ3IAx/Gw8WBfoFO7Esv5+d95+gRVneuTFPrMBVX1VB2CXVuorItsB9csX39kRRyynS42MG0/hEt/g620BY19bd2G21LGoQOYw3CPm1LR70aXAOQJi9G/mMOEjI6GRIGvEIX1wCja6pZdVgQk9rohf2oNYXITh7ofLsbtNmmE+kA9A5wxk4lGdVlC+1hCxqaqkNy8lBemWx+HXnLm8iTFiP3vcfiOsyFKeyzKftJsizLDRe7OnfeeScDBgxg3rx5vP7663z00UdMmzaNDRs20K9fP5sOQhQXF0dcXBxarZaEhAR27dqFq2v76/2TqsqJ/X0CKl0Fidd/g8ZdpIwQNB2Xi4eI+vtxKp06Ej9pFUgSfyXk89HeAoJcVXwyNbhNBONxzdhJxD/PoHENJfGG7422v/t3JtvOaxgb4cjc4QFWUCgQCAStA6+knwk+vIhEXRBvBX7EUyPENbMx+J5ajv+J/1IQdC3nh75tsO2ptReIz9PycF83pnX3tpLCtoVdaTYxa/+FVCu8oiypiJ/wM1UuflZUZlsUFxczZMgQCgoKGsyQ0uIe0I8//pjy8nIAXnjhBezt7dm5cyc333wzL774YksPb1Zmz57N7NmzKSwsxMPDg5iYGLOnlKlxdqOjo1GrjYOXWAIjDYkbUOkqkD1CiBo0wWIRcG2hLWxFh0ajYfHixcydOxdHR0eraIAWtkXncOTtc7AvzyE2yBU8wwgILWfp/q2kF+uodPGlT2TjLtS2cE6upkHK+hUA+6hhxMbGGuxTWKphT3oKAHcP60JsbIjZdFiaNmGjbUiD0GGIsE/b09EoDWGz4PAiuqjSOX0hm8CwIXh2cLK8DgtgShtV7VeCNbn1mmxwH8ovLifpknIPunlYN7oEehntawvtYQsamqQjOcfA+QSQZB1dfNQQEXuVncygw4yYwj4LCwsbXbbFDqi39+W3KyqVigULFuj/Lysra+nhLYparbbYibdkXQ1qOLsJAKnzONR2JsnM0zwdVsaaOtRqNVVVVa27LdRuENgb0g6gTtsHPpF09OhA/yBn9lwoY9XBVPp3blpABFtoDyMN1WHYVaED4Qptv+w7h0YLga5qRnYPNWmPr7Xbok3YaBvUIHRcrlvYp23qqFeDuz+yf3ekrBP0l0+yck9PswWts3ZbmMxGK8vgvBJrQdVplMF9aMupNLQyBHRQ0zWkY4N6bNo2bElHxy4gqUDWXV4nqVF37Gz0HGBWHWbEFPbZlP3MMh5Oo9GwaNEiIiPFUM5WQU0Aos7XWVeHoPUTeo2yTN2lXzWxhzKkalPCJXQ6XV17tR50WrhwQPkcYhgBNyW7gK/3nAdgYjefNjHcWCAQCMyNFDUagGGq4/x8OMPKaloB5/eCVgOuAZcD41Tzd7wS8G9gWPubTmZWPIJhygcoieVQllOWGKS+ETSNZj8haTQannvuOQYMGMDQoUNZtWoVAF9++SWRkZH6blyBjZN7Bi6dA5W9USQ1gaDJhA1WltWRcAGmDojCXgXpxVoOtfZouBfjoaII7DuAXzf96k83HGPUoh0kFygT8O2vzC8gEAgEgrqpTiMyTH2chNxKjiS38vuEuTlXnf8zaqTRlKm9qUpQ0FEx/pZW1fbpNwPu+EH5bOcEPadbV08rp9kO6Msvv8zSpUuJiIggOTmZW2+9lZkzZ7J48WIWLVpEcnIy8+fPN6VWgTlI2qgsw64BR5GvUNBCanpAs09CWT4AXq5O9A92BuDX/SlWEmYiatKvBPcDtTJcPSW7gIWbUg1mh/x3dxYp2QWW1ycQCAStjfChoLIjTLpIqJTF1/8kWVuRbaPP/3mtwer4tFyySnSoJRjTI9QKwtoB0deDWxBUlV0+D4Jm0WwH9KeffmLFihWsXLmS9evXo9Vqqaqq4siRI9x+++02MaZb0Ahqht92GWddHYK2gZs/eEUCMlzYr189qacy93NTYisfhnthr7IMGaBfFZ9+iStDieuAhIx8S6kSCASC1oujqz6n8jDVCf6Kz6e8osrKomyU8kJIO6h8vsIB3XDsAgAxHR3wcjVtICdBNZIEXScqn0//YV0trZxmO6AXLlygf//+APTo0QNHR0fmzp2LZKEIqgITUFkGyduVz52FAyowEWHVvaDnd+tXTekfib0KMoq1HDzbiodX1TjVteZ/xgR5ceVVTwVEB3paSpVAIBC0bqqH4Y6yO0FRhcyqfWesLMhGSfkHZK3yotczzGDTjjO5AAyN9LSCsHZE10nKMn6tEhdC0Cya7YBqtVocHBz0/9vZ2bXLHJqtmlO/Q1W5MpHdr+VhpAUCAEJr5oFedkA9OzgxMMQFgF/2J1tBlAkoy4eLSuj7mrf1AOF+HnT3u3wtVAHzx4YR7udhWX0CgUDQWqmOQTHc7iQSOn7cf8HKgmyUmmGfV8Ts0FRWcThDyTwxpluQpVW1L8KHg6M7lFw0GOklaBrNzrkhyzL33XefPldMeXk5s2bNokOHDgblfvnll5YpFJgFr3OrUR14R/mnOAsOfa1MsBYIWkpND+iF/aCtBLU9AJN6BrAz9ax+GG6rixKbVh391isCXH31q8sqKjl3qRKA2UMDmH5NZ+F8CgQCQVMIHgD2LrhWFtBVOs+hjHDOZuYTFeBpbWW2xdnqAESRhg7ozvh0yqvA1V5iUJempTsTNBE7B+hyPRxfCfFrLgdfFDSJZjug9957r8H/d999d4vFWButVotWa97u9Jrjm7ueejVcOk/QgXdrJdWVkVfPQRc5CtwtF1LaFtrCVnRotVrs7OwsYoMN6ai9bBbenVE5eSKV56Pd/xVEjwf3YCb2Cee1P8+SVaJjb2IGAzsHmFdHC7lSg5S6BxWgCx6IXEvXqr1nKKmU8XaSeOKGXtipVSbVbQttUVN/m7HRNqBB6DDWIOzTtnQ0SYOkRhU+FClpIze7n+aNgnBW7EjgpZv6W1aHGWmxjZZcRJ19QjlW2DCodYxNJ9IB6BfkjIRc7/FtoT1sQUNLdEjRE1AdX4l86g90o182ikZsKR2mxBTX0KbsJ8myfGX8jHZDXFwccXFxaLVaEhIS2LVrV7sYRtwh+wCR254wWn/u2o8o8etnBUWCtkan9TNwLlTm8MioSO//LJcip/D65gz2pFcwrYszDw/2s7LKphG+/SncsnaT3mcueZ1v0a9/ZWM6BzIrW+V3EggEAlvBJ+E7Ao9+zFm3AYy5OI+OzhJf3BSCurWNljET7uc3ErbnFco8OnNm3HKDbU/+cYEz+VoeG+DOxK5eVlLYflBVltB19SRUukoSr/8WjXuEtSXZBMXFxQwZMoSCggLc3d3rLdvsHtC2wOzZs5k9ezaFhYV4eHgQExPTYIO1lBpnNzo62mqRgrUBrsjbpFo9oCBLasL6jrJ4D6i128JWdGg0Gn3u3Jph7dbAJG1RmIaq8Kz+XwkdQQffI2D4XUzrq2ZP+ll2pWn4d0zMVYfh2sI5MdCgklD9cQoA/wFT8A9U5kxn5ZdwOEtJLXP/6G7Ehvte9Xgm0WHF30mbstE2oEHoMETYp+3paLIGr1vh6MdElp/Ew66KnDI7zld0YELfCMvqMBMttVHpzKcAOHYdR2zs5bgd2QWlnM1X7kO3DO9OuG/9U0BsoT1sQUNLdUjHr4Uzm+hUeRo5doLVdJgKU1xDCwsLG122XTugV6JWqy124i1ZlxFeoZR5RuOSH6/8L6mRpixB7RVW/35mwqptYSM61Go1VVVVbaMt8pPhisQkkqxFnZ/C1AGDeXXdWbJLdRw4e5FrYuoPlmAL7aFWq1HnnYHyArBzRh3YC6o1/bjnLFoZOnnZ0yfq6kOKTabDim3Rpmy0DWkQOi7XLezTNnU0WkNgL3DxQSrN5b7QTD44F8KP+88zeUAny+owEy220WQlAJEqapT+HgSw+UQaMhDqriYqwLtJelqNbdiijtjJcGYTqoQ/YeTT1tNhIkxxDW3KfmJcQ3tEp8WhRJkvwMR/w5xjIgCRwHR4dwLpikuLpAbvKFydHbgmVAlU9suBFCuIayY1+T+D+uqDKgGsPqaklJnSUwy9FQgEghahUulzW97aMRWAnaklZBeUWFOVbXApBS4lK/fS8KEGm/46kQFA9wAXKwhrx8RU5wNN2w+FGdbV0goRDmh7JOMwdpVFyI7u0P9+8LDcsFtBO8AjGKZ8cPl/SQVTlujtbFIvJULf5sR8dDqdFQQ2g/PVDmjIAP2qI8nZnLlUiVqC24d0tpIwgUAgaENUR3cNKThApKcdVTr4ZkeClUXZADXpV4L7g9PlqWKfrD/KtuRSAP5KKOLTDcesoa594hZwOSVb/NrmHaMgTTm3hWmm09VKaLEDWlIi3ky1NqSzW5UPESNALUZhC8xAvxkQe6PyefAjBj3sk/tF4qiGnDIduxJayVvDmlxfoYP0q77bpcxzHRDsTIBX2w9eJhAIBGYnapSyvLCP6T3cAFh1JLv1vKw0FzUOaHUPMUBKdgHvbD6v/18G3tmUSkp2gYXFtWNqekFPr2n6vgdXwJIesHwKqg9743VutWm12TgtdkD9/f154IEH2LFjhyn0CCyAdG4rAHLUaOsKEbRtIocry5xEg9UdnBwYEqYMw111INXSqpqOphCyTyqfq992Vml1rI/PA+BffcUIAoFAIDAJ3pHgGQa6Ku4MzcVeBamFVa3nZaU5kGU4V53/M+py/s/49EtcmcZCByRk5FtKmaDrZGV5bhuUNz4ADwVpsPpJkJUXK5KsI+jgu+2qJ7TFDug333xDXl4eY8aMITo6moULF5Kent6iY8bFxREREYGTkxODBw9m79699ZbPz89n9uzZBAYG4ujoSHR0NGvXNrM7vK2jKdYPJ5Rr3jQKBOYguDqlT9oB5QZai8m9lOBDm5NawTDcxA2ADG5BypAbYMPRFPLKZTrYS0wdGGVdfQKBQNCWqB6G65G5m+ERyuiSb3edrW+Pts3FeCjOAjsnCLk8CifCz82oqAqIDvS0nLb2jm80+HQBXSUkbWj8fnln9M5nDZKsg7xzJhZou7TYAb3xxhtZtWoVaWlpzJo1i//973+Eh4czefJkfvnlF6qqqpp0vB9++IF58+bxyiuvcPDgQXr37s348ePJzs6us3xFRQXjxo0jOTmZlStXEh8fz2effUZwsOiVqJOUnUi6SipcAsEr0tpqBG0Z/x6gdoCyS0rwhFpM6heJkxpyy3TsOGW7b/y8zq1G9etM5Z+idGXIDLByv9JzO6aTO84O9lfbXSAQCARNpebl+Nm/uWNQOACbkgr5fW9S+xxeWjP8NnQw2DvpVx9KzjEopgLmjw0j3K/+NCwCE9N1krJsyjDcOoIWyZJKGQHQTjBZECJfX1/mzZvH0aNHWbRoERs3buSWW24hKCiIl19+mdLS0kYdZ9GiRTz88MPcf//9dOvWjU8++QQXFxeWLVtWZ/lly5aRl5fHqlWrGDZsGBEREYwcOZLevXub6qu1Lc5uAaDYfyBIkpXFCNo0do4Q0FP5nHbAYJOzoz1DwpU326sOnb9yT9ugMI2gA+8a5Mtl9RyKss6xPbkYgOmDI6yjTSAQCNoq1T2gZB1jbJQL7g4SGi088Us8oxbtaH+BduoYfgvw/b4LAEzp6sFnd/Rgy7zhPDKup6XVCWoc0MQNUFXRcPmyfNj4avU/ynO4LKlJ7/csuLefzjOTRaDJyspi+fLlfPXVV6SkpHDLLbfw4IMPcuHCBd555x12797N+vXr6z1GRUUFBw4c4LnnntOvU6lUXHfddezatavOfX7//XeGDBnC7Nmz+e233/D19eXOO+9k/vz5V81Ho9Fo0Gg0+v9rEqdeud4caLVaKisr0Wg0Vsn1Y5+0GRVQ4NMPJytpqMHabWFLOmrsztz21xCmbgs7/96o0w5QlboXbfQUg20Tuvux5WwxmxMv8ce+RKIDPQn3dTeLjuYgZ8bjxBXDg2Utf2/fRoW2I4EdVAyI8Gnz14wa2qqNtlYNQochwj5tT0ezNdi7Y+8bi+riKbIOr6Wwwle/qSbQzujYAP39wmw6TEyzbFSnxSF5OxJQETwEuXrfpMx8DmeUA/DIqM50CfRq9LFtoT1sQYPJdPj2xKGDL1LJRSoSNzcYX8XuzwWoi9LReUVSOf1/SEWZaD3CyE4vwquVX0Obsq8ky/KVc5ibxC+//MKXX37JX3/9Rbdu3XjooYe4++678fT01Jc5c+YMsbGxVFTU/2YgPT2d4OBgdu7cyZAhQ/Trn332Wf7++2/27NljtE/Xrl1JTk7mrrvu4rHHHiMpKYnHHnuMJ554gldeeaXOel599VVee+01o/ULFizAycmpjj3aBm5yEfP4DBl4j0cpk5ytLUnQxukln+Qm1pFCMF9Jtxls00lq/lfel8pqH08CJnTMw7/ENub6uMlFzOFzVLV6QHVI3GW/hF1FvozuWEJEySkrKhQIBIK2yXh5K9dwkN3qwdxe8qTR9lu803Ara/uBiQLlTGbyP8px4F0eU4ZpAkku3die60K0u45hlQetrFIwWd5Af46xj96slcZetVwX+Sx3sgoZ+JLbOC+1rR7P8vJyFi5cSEFBAe7u9b8garED6uHhwe23385DDz3EwIED6yxTVlbGu+++e1WHsIbmOKDR0dGUl5dz7tw5/VuDRYsW8d5775GRUffFqa4e0NDQULKzsxtssJai1WqJj48nJibG4m85VEe/x37NE2gD+nB08BKraKiNNdvC1nRoNBoWL17M3LlzcXR0tIoGMH1bSLmJOPx3GLKdMxVPnQHV5UEXKRcLuf5jwwBjKmDd44MI8e5g9XOi1Wop+eFhfFP+AJQhMlnDXmfIxghkYN3sgURaYK6NLdgntF0bba0ahA5DhH3ano6WaFAlbcD+p7uocAsl5uI7BtFea+4TTekBtXZbQPNsVL3rQ+y2voG2yw1U3aLEINBUVjHivb8p0Mi8OTGSWwZ3apIOW2gPW9BgSh2qpI3Y/3QnsmsAFY8fVvKfX0lZPg6fj0AqzqJq0Cy0Y/+fyXW0BFNcQwsLC/Hz82uUA9riIbgZGRm4uLjUW8bZ2blB5xOgY8eOqNVqsrKyDNZnZWUREBBQ5z6BgYHY29sbnLDY2FgyMzOpqKjAwcHBaB9HR8c6G/dq602JVqvF3t4eR0dHyxtZqpIqR+o0xnoaamHVtrBBHWAZG6wPk7dFQDdwdEfSFOJYcPbynFAgOcc4h7AOSMktpVOgt9XPiVarpdShOr9nzCSkie+xbHMGMln08HOga6ifxXRYuy1q0+ZstJVqEDrqRtin7ehokYbOI0Flh0PRed4cZscL/1TpndD5Y8OIDvGtd3eT6TADTbLR8zsBUHcahbp6n1X7kynQyHg4StwyJBpH+6Y9yttCe9iCBpPqiB4LDq5IxZk45pyEkP7GZda+okQz9umM3bhXsbO/bAO20h7QsmtoU/ZrcRCiqqoqCgsLjf6KiooaHHJ7JQ4ODvTv359Nmzbp1+l0OjZt2mTQI1qbYcOGkZSUZJDKISEhgcDAwDqdz3aLLMPZrcpHkX5FYClUKgjqo3y+IhBRTJAXV4bBsrUQ8s551fk/Y6egcwtkzUkl6uCNvQOtqEogEAjaOI5uEKw8xN8ZlMlXd/cClKkaNw1qJ6mvqjSQUh3/JPJyAKLv9imB+ybFejfZ+RSYCXsn6Hyd8jm+jmi4p9fCke+UntEbPwF7MQWuxQ6op6cnXl5eRn+enp44OzsTHh7OK6+80uhcf/PmzeOzzz5j+fLlnDp1ikcffZSSkhLuv/9+AGbMmGEQpOjRRx8lLy+PJ598koSEBNasWcNbb73F7NmzW/rV2hZZJ6AkG+xdIKTuodICgVmofoggzXCeSrifBwvGhhk4oY8ODbSdEPK6Kpzz45XPwf3YlZBBWpEWBxXcPLizdbUJBAJBW6fmZfm5vxnZI5RwDztkYPWBZCuKsiAX9kFVGXTwBb9YAOLTcjmcqUEC7r822rr6BIZ0nawsr0zHUpoHf8xRPg/9PwgVz+BgAgf0q6++IigoiOeff55Vq1axatUqnn/+eYKDg1m6dCkzZ87kww8/ZOHChY063m233ca///1vXn75Zfr06cPhw4dZt24d/v7+AKSmphrM7QwNDeWvv/5i37599OrViyeeeIInn3ySBQsWtPSrtS2q068QPkxJjyEQWIqrOKAAj4zryea5Qwl2Uy5FF/LLLKmsfrJPo9JqkB1cwacLP+xREkQPDXfFy7XtBisTCAQCm6Cm1+/s36DTMaqzEul1w8msenZqQ9Tk/4y8Vp8276vtiQD0CXSiS5C3tZQJ6qLLOCXOxcXTkJN0ef2fzypDbzvGwKjnrafPxmhx3/3y5ct5//33mT59un7dlClT6NmzJ59++imbNm0iLCyMN998k+efb1zDP/744zz++ON1btu6davRuiFDhrB79+5m6W83nKl2QDvVHx5aIDA5Qf2UZfZJqCgFB8M545H+Xrw8KZZHvj/BH6fyeSLzEhGNDC5hTqT06iHDQf0or9KxOUlJ13TLgFArqhIIBIJ2QshAZdRWaQ5kn2RK3zCWH7jIwfQyissqcHVu49OsEqpTFwYow4/LK6pYczIPgNsHhlhLleBqOHtCxHBlulv8Guj4JJxaDcd+qh56u1QZqisATNADunPnTvr27Wu0vm/fvvrcncOHDyc1NbWlVQmaS2U5pPyjfO40xrpaBO0P9yBwDQBZC5lH6ywyvk8Evfwd0crw7hobSTKervTYykH9+OPAWYorZTwdJW7oE2FdXQKBQNAesHOA8KHK53N/0y/KD18XFRU6+PNwslWlmZ29n0HGIeXzptfg4Ap+3XuGwgrlPnTjwKZFvhVYCP0w3LVQkgt/zFX+Hzan7sBE7ZgWO6ChoaF88cUXRuu/+OILQkOVnoLc3Fy8vLxaWpWguZzfDVXl4BYIvl2trUbQ3pCkWsNwD1y12DM3KLa5IamIUxdyLaGsXqTqIcNycD9+PpgGwPUxXtipW3zZFAgEAkFjqDUMV6VSMSJKiRGw7ngbzgFakAZrn7n8v6yD1XPYsOcwAJO7+YjgQ7ZKzARleX43fHszlFwE31gYJaYFXkmLLfjf//43t956K3/++ac+D+j+/fs5ffo0K1euBGDfvn3cdttt9R1GYE5qht9GjdLPIxAILEpwX2VISj0O6IjYEAYGx7MvrZx3/zzJs8M7WlDgFVSUKPM4gGOVoew5rzzs3DmknURfFAgEAlsgqtoBTfkHtJVM6hXML8cvsTu1BE1lVdt0xPLOgEHmU0DWUpqbikQ37hPBh2wXjxDwCIWC85Be3YMdO1nEXqmDFv9yp06dSnx8PJ9++inx8UrEyAkTJrBq1SoiIiIAJVJta0Cr1aLVas1eR+2lJVCd2YIE6CJGItf6jpbUUBdCh6EGOzs7i9hgQzpqL01GYF/UgJx2EF09x356fFduW3aYbckl/KtrB6Kt1RZph1HLWorsvLnx+8tv2ncnZtEzzLKOsS3YZ039bdpGW5kGocNYg7BP29JhEg2+3VA5eyOV5aE9v5fhXQfh5nCCogqZzcdSub53uGV0mIBG26hnBCowiBCvQ0Wyzp++gU5E+rm36LvYQnvYggaz6ChMQ1VwweDcydsXoes7A9yDLaejGZjiGtqU/SRZluWGi9VNZWUlN9xwA5988gldunRp7mGsRlxcHHFxcWi1WhISEti1axeurq7WlmVS1Jp8uq6ejITM6cm/U+XkY21JgnaIqqKQbr8rQ1NOTVmL1vHqqVbe2JzB7vQK+gfY89p1QZaSaIBPwvcEHv2I9dr+zKx8Sr9eBXw2LQB/N/E2UyAQCCxB6O6X8LiwmbzwCWR3n8nC/Tq2pmoYH+XE/w31t7Y8k6PWXCJ29WT9/7Kk4hXtQ6yoGMX8YV6MiLR+kD5B3XTIPkDktieM1p+79iNK/PpZQZFlKS4uZsiQIRQUFODuXr+dtqgH1N7enqNH6w4q0hqYPXs2s2fPprCwEA8PD2JiYhpssJZS4+xGR0ejVqvNWheAdOIXJGRkv2506TvcKhquhtBxGY1Gw+LFi5k7dy6OjtZzbszZFvKOzkh5SUS7FkPna65a7rkOvtz46X4OZFaSixvDYy0f7U86eQGAwzrDQA86oMrJi9jYht+6mwpbsE9oHzbamjQIHYYI+7Q9HabSIMV3hAvgnfInXql/8X/dn2drajf2pVcQExODSlX/vHxbaAtovI1KJ34FQPbpgm7i+/x2RmbF5hI8HSXuHde/xcOObaE9bEGDWXQEuyNvVyHJOv0qWVIT1ndUgz2g1m4PU1xDCwsLG122xUNw7777br744otG5/m0ZdRqtcVOvMXqOvc3AFKnMUb1WfL71ofQodRdVVXVttsiuB/kJaHOPAIx469arHekP2M7ubLxTDGLNyYysoflnD091RFwj8iGDqgK6BrsY5VzZG3baBc22go1CB2X6xb2aZs6WqShIA2Or9T/K8k6+p14mzD1ElLLfThw9iLXxDRupIy126LRNpqs5P+UuoxD3WkkX/2+EYAp3X1wcTLdyxVrt4etaDCpDq8wmPIBrJ6jRP6X1EhTlqD2CrOsjmZgimtoU/ZrsQNaVVXFsmXL2LhxI/3796dDhw4G2xctWtTSKgTNRZaVfEQg8n8KrE9wfzj2Y72BiGp4ZkJ3tsTt4XCmho1HU7iulwWd0JIcyE8B4JguCgklHIQKmD82jHC/qw8fFggEAoEJyTujRIGthSRrud43n88zfVh9+HyjHdBWQ3XHAVGjOHk+h6NZGiQQwYdaC/1mQKexkHcWvKPA4+o9n+2ZFjugx48fp18/ZVxzQkKCwTZJRFy1LrlJSiQutQOEDbW2GkF7p3YqFlmuNyJz50AvxkQ4suGchn+vT2BMj9AGh1mZioLEXXgAZ3SBRPl58N7tA0i+WEx0oKdwPgUCgcCSeHcCSWXohEpqYrr2gswStiZdsp42c3ApWflT2UH4UL76+TgA/YOc6BQg0hm2GjyChePZAC12QLds2WIKHQJzUJN+JewacHCxrhaBIKCnclMtuai8GPGsf0jKnb192JqSzumcCv44cJapAzubXaJWq2PdX6u5DYhXdebZa/2J8vekS5AI3iUQCAQWxyO4ekjjk5ed0ClLGNtlMOq/N5NWpOVEag7dLRyd3Gycre79DO5PmeTEn6cVB/v2QaFWFCUQmB6TdSkkJSXx119/UVZWBkALgusKTMXZmvyfYvitwAawdwL/7srntIMNFvd1tefG7sob3yWbzqDT6RrYo+W8ueoAvsVKOqnY/tfi7tQGc8wJBAJBa6LfDJi59fL/MRPxdnOml78TAL8fTLGOLnNQa/jtZ5uUdDOejjBtQKf69xMIWhktdkBzc3MZO3Ys0dHRTJw4kYwMJWfegw8+yFNPPdXA3gKzoa2Ec9uVz2L+p8BWqD0MtxHMu6EHTmo4m1/FT7sTzSgM/jhwli/3ZdFbdQaAsN6jzFqfQCAQCBpJYG/wq36BeU4J0jO2q9LruSUx11qqTItOp+8B/T03lEV/pwGQr4FlW05aU5lAYHJa7IDOnTsXe3t7UlNTcXG5PMzztttuY926dS09vKC5pB2AiiJw9oaA3tZWIxAoBFXnwWpEDyiAn2cHbu2tPGQs3nSWdYfOkZJdYHJZSRmXWLDqNMHSRXykIlDZg38Pk9cjEAgEgmYSNVJZVvcSTu0fCUBCbiWpFxuf/sFmyT4JpTno7Jx5er9hSsB3NqWa5d4nEFiLFjug69ev55133iEkxDBXX5cuXUhJaUPDIlobNfM/o0aBhYK3CAQNUtMDmnEYdNpG7TJ3Qi8c1JBZomPWDycZtWgHn244ZjJJZZpKHlmxl+JKmRvckpWVAT3Aznq5BAUCgUBwBVGjlGV1dP8wX3e6eNsDsPpgslUkmZRqxzrPux8VV4Ro0QEJGfmW1yQQmIkWeyYlJSUGPZ815OXlWTUZdLunZv6nGH4rsCV8Y8C+A1QUQ05Cw+WBorIKKmr5qjKmfRs899vdnLlUhau9xONdi5WVNY6yQCAQCGyD8KFKILuaSLHAmGglQNzGUxetp8tUVA+/Tfcyvv+ogOhAT8vqEQjMSIsjbIwYMYIVK1bw+uuvA0rqFZ1Ox7vvvsvo0a3L+dFqtWi1jeuVaUkdtZdmobwQ1YX9SIA2YiRcUZdFNDQCocNQg52dnUVssCEdtZfmQBXUBynlH3Tn9yH71J3XrLaOU2nG83t0wOm0XEJ8XJutI+ViAf/ZeJp1CYVIwMJpMXgc+UA5fmBfm7CL2vXbgo72YqOtQYPQYaxB2Kdt6TC5BjsXVEH9kC7sRXdmC3LfGUzqE8KnuzM5mlXOxfxivN2cza+jmdRro9pKVCn/IAH/STEcUagCnh0TSoiPq0m+gy20hy1oEDqMNbT0GtqU/SS5heFqjx8/ztixY+nXrx+bN29m6tSpnDhxgry8PP755x86dbLdyF1xcXHExcWh1WpJSEhg165duLo2/4HWVnBL20b4rufQuIaSeMP31pYjEBjgf/RjfBO+IzfqJjL6Pd1g+awiDQ/9lsmVF6ovpgXg79a8URZrTl3ikwOF+mMOCLDj1TH+dPvtelRaDYnXf4vGPaJZxxYIBAKBefA78Tl+p74kP/Q6Lgx+DYCZq86TXqxjzmAPruviaV2BzcQl5yhRWx+lTO1Ot5L/4KBW8eZYX8oqdQS52zf7XicQWJLi4mKGDBlCQUEB7u7u9ZZtcQ9ojx49SEhI4OOPP8bNzY3i4mL+9a9/MXv2bAIDA1t6eLMye/ZsZs+eTWFhIR4eHsTExDTYYC2lxtmNjo5GrVabpQ4p4SMA7KOGExsbaxUNjUHouIxGo2Hx4sXMnTvXqkPXLdIW8jhI+A7vsnN41mGfV+qIVauZX3SCdzefp3YilrMlDowaVPf+9ZFysYBPDqQYOLQHM6vwVJeg0mqQHVyJGjQerU62ul2AbdgntDMbbQUahA5DhH3ang6zaHC5GU59iUfuYdy6xoCkYtTxYv53OJd9GZX831Tbfeapz0albasB2K7thoyKe/r7cdPIfmbRYQvtYQsahA5DTHENLSxsfDAwkyS58/Dw4IUXXjDFoayKWq222Ik3W10HV8BRpddTdfR7iBiq5NCypIYmInQodVdVVbWPtggdCICUdRy1rlLJD9qAjlnX92JCn3ASMvJZd+wCPx/P593NqXQP8WZo1+AmVb/uyAWj3lQdUJi0R9EV3A+1nb1+6Hq7OCeNrL/d2Ggr0iB0XK5b2Kdt6jCphrDBYO+CVJqDOiceAnowuU8o/zucy/60UiqqdDg72ptfRzOo10arU8tsrexOR2cVcyf2NrtWa7eHrWgQOi7X3dJraFP2M4kDmp+fz969e8nOzjZKFj9jRt3Oj8AMFKTB6idrrZBh9RzoNBY8mvaQLhCYDY9QcOkIpTmQeUzvkDZEuJ8H4X4ejOkRStrSrey+UMbj3x/hjyfcCfJ2a9QxthxP5cNt543Wq4BQTXVQpCDzvHUWCAQCQQuxc1CCESVtVKLGBvTgmuhAvJ2OkFcus+5ICjcN6mxtlU2jogT5wj4kYIeuB3PHRNLBycHaqgQCs9JiB3T16tXcddddFBcX4+7ujiRJ+m2SJAkH1JLknQHZ8AUAshbyzgoHVGA7SJISZTbxL0g/2GgHtAa1WsXS+4Yy+YOtpBVpeXDZbn59YjRODvVfzn7fl8TTv8ZToYPADmqySrToUJzP+WPDcEs6rhS0oQi4Wq2W8vJydDod5eXlVn1DW1FRQYcOHdBoNLQwdECL0Gq1Vm8PW9AgdBjSHu3T3t7eJnptLE7UKMUBPbsVhsxGpVIxPNKd308V8NexjNbngKbsQtJVckHuSAfvEO4YVndwPoGgLdFiB/Spp57igQce4K233qozHYvAgnh3Akll6IRKavCOsp4mgaAuahzQtAPN2t3L1Yn/3jOAW/67h1M5FTzz3W4+unf4Vct/u/0UL689i1aGAUFOfPXwCHKLykjIyCc60JNwTzvYefKyNisjyzKZmZnk5+cjyzKyLJOSkmLwgs8amoYNG8aFCxesrsPa7WELGoQOYw3t0T49PT0JCAiw6ne2OJEjlWXyP6CtBLU9E3sF8/upAnamFFGl1WGnbj35zy/sX00I8I+2B69M64FK5G4XtANa7ICmpaXxxBNPCOfTFvAIhikfKMNuZa3ifE5ZIno/BbZHjZPXTAcUoHtYR96aGsO8X+JZfaqAHhuO8ci4nkblPtlwjHc2pSIDIyM68OkDw3FysMPV2YFwPw+lUMou5TfjGgDuQc3WZCpqnE8/Pz+cnZ2pqKjA0dHRqg+ZOp2OnJwcOnbsaNUHJFmW0Wg0Vm0PW9AgdBjS3uxTlmVKS0vJzs4GsPmgjybFvwe4+EBpLlzYD+FDGN0jlA6/nKKwQuajdUf418Coy9d3G0an01GesBWAQr8BXBNt/fuPQGAJWuyAjh8/nv379xMVJXrZbIJ+M5Q5n3lnlZ5P4XwKbJGgvsoyNwnK8sHZs1mHuWlQZ46dv8Syfdm8tyWVbiFejIi9nENt4W8H+GRXJgCTYtz5YMawut+M1zjCwf2VIcJWRKvV6p1PHx8fZFlGkiScnJys7oDa2dnh5ORk9Qd8wKrtYQsahA5D2qN9OjsrOS+zs7Px8/NrP8NxVSqIvBZO/KrMAw0fgqO9HSFudsTnVfLB9nQ+3J7OgrFhdb6UtCV+2rSb2+RkACZMu9O6YgQCC9JiB3TSpEk888wznDx5kp49e2Jvbxh9bOrUqS2tQtBUPIKF4ymwbTr4gFcEXEqG9EPQaXSzD/XCjf05lfk3u86X8sQPR/n0ThWXSjT8cSSN1acLALijjw9vTh909QfT9IPKMtj6AYgqKysBxKgSgUDQIDXXicrKyvbjgIIyDPfEr8o80FELSMkuICGvUr9ZBt7ZlMoNvcMI8bHN/O5FZRoO/rOO24BspwhCwjtZW5JAYDFa7IA+/PDDAPy///f/jLZJkoS2OpWBQCAQGBDcX3FA0w60yAFVghINYfKSrVwo0jJ92SGD7bOGBLBgWgPzOmv3gNoI7WpOl0AgaBbt9joRNUpZXtgHmmLi0y/VmV4rISPfZh3Q99ccoXfVMbADrx7jrS1HILAoLXZAr0y70prRarVmd5hrjm9Nx9wWNAgdxhrs7OwsYoMN6ai9NCdSYB9Ux39GTjuI7or6mqrDzcmeVyfH8NB3Jw3rAKYPjqz/OKW5qC8lK/UF9Nbn/7SWXWi1Wn0gk5o/wKqRPWvqlyTJQJO1dNRetlcNQoexhvZonzXf98p7h63c18ymwSMMlWcYUn4q2uQddA4YhAQGTqgK6OTvZhNtUVN/zX3+bGYe/zt4kfV2JwBQdRplMX220B62oEHoMNbQ0ufQpuwnyda+c1mRuLg44uLi0Gq1JCQksGvXLlxdbfNNmUDQ1nDJOULU1seodOpI/OTfWny8gxeKeXlrrtH610f70Df46r9r14xdRPzzNBrXUBJv+L7FOlqKTqdDlmXCw8NxdHS0thxBIxk/fjy9evXivffea/Q+b7zxBqtXr2bPnj1mVFY/48aN46GHHuK2226zmoa2wrZt27jhhhtIT0/H09OT9evX89JLL7Fr1y6zzUvVaDT6iLvtLXpq0IGFeJ9bTU6X28ns/X+sOXWJTw8UUtMtEuuj5r0JIfUew1os3JpBcloaOxyfRJbUnJr6Jzr7DtaWJRC0iOLiYoYMGUJBQQHu7u71lm12D+jEiRP57rvv8PBQoowtXLiQWbNm4enpCUBubi4jRozg5MmT9RzFusyePZvZs2dTWFiIh4cHMTExDTZYS6lxdqOjo62aw87aGoQOQzQaDYsXL2bu3LlWdTos2hYVYch//x/25TnEBnsYRJ9tjg6XjgVIW3cZvQEf1juacN+rR0OUsn8HwD5yCLGxsS3SYArKy8tJSUnB0dERJycnm4gwCopjXBPspK4H3fvvv5/ly5czc+ZMPvnkE4Nts2fPZunSpdx77718+eWXLdJhC+1RlwaVSoVarcbJyanRx7Gzs0OlUjVpH5VKxS+//MKNN97Y4rb4/fffuXjxIvfcc0+LnBdbOCcN2efV2Lp1K2PGjCEvL0///NJcHBwc9J8dHR2ZOnUqb7zxBj///DP33HNPi45dH/b29oSHhxvYkS3c18ytQdJOhXOr8Sk8jldsLLGxcOuIAn7ee5a4nVmcztWSiztDogOs3hZw+T7f6dob2XGhgunqy7mnY3oNsJiO9mAbQkfTMcVzaGFhYaPLNtsB/euvv9BoNPr/33rrLaZPn66/gFdVVREfH9/cw1sFtVptsRNvybpsWYPQcbnuqqqq9tUWzu7gFwtZx1Ef+R/0vdsoeFZTdEQFeLNgbBjvbEpFh+J8zh8bRlSAd/07ZihzRlUhA6COuix9TtRqNZIk6f9quPL/xqDRaCgtLcXFxaXFLzZqhjfWpyM0NJQffviBJUuW6CN0lpeX89133xEWFqY/jiloTns0REVFhYET0VQNTdVUU7ap38MUtgHw0Ucfcf/995vMvs1xTkB5OKurh6/2+WqMfdZF7XPQUu11nZP77ruPjz76iBkzZrTo2PXVKUnSVa9TtnBPMZuG6tgBUtZx1GV54OpLVIA3z0z1Jj5rGxvPFPHy6lP8OdffvDoaiVqt5oJDGJ+tSQZgmEoZfitFjbKKLmu3h61oEDou193S59Cm7NfsV55XjtxtxyN5BQJBc3F0U5Zb34IlPeDgihYd7pFxPdkybzif3dGDLfOGNxyCX5ZtMgBRbWrP72rKX1paGrt37+bo0aPs3r2btLS0Jh+jqdf1fv36ERoayi+//KJf98svvxAWFkbfvn0Nyup0Ot5++20iIyNxdnamd+/erFy5Ur9dq9Xy4IMP6rfHxMTwwQcfGBxj69atDBo0iA4dOuDp6cmwYcNISUkB4L777uPGG280KD9nzhxGjRql/3/UqFE8/vjjzJkzh44dOzJ+vBII5Pjx40yYMAFXV1f8/f255557yMnJ0e9XUlLCQw89hJubG4GBgbz//vuNap+FCxfi7++Pm5sbDz74IOXl5Qbb9+3bx7hx4+jYsSMeHh6MHDmSgwcP6rdHREQAcNNNNyFJEpGRkQCcOXOGadOm4e/vj6urKwMHDmTjxo31arl48SKbN29mypQp+nXJyclIksThw4f16/Lz85Ekia1btwJKm0uSxKZNmxgwYAAuLi4MGzaMhIQEg+OvXr2agQMH4uTkRMeOHbnpppv02y5dusSMGTPw8vLCxcWFCRMmkJiYqN/+1Vdf4enpye+//063bt1wdHQkNTWViIgIXn/9dWbMmIG7uzszZ84EYMeOHYwcOZJOnToRHh7OE088QUlJif54Go2G+fPnExoaiqOjI507d+aLL74gOTmZ0aMVJ8bLy0vvMELD9gmwdu1aoqOjcXZ2ZvTo0SQnJxu185QpU9i/fz9nzpyp93wImoGrr5ITFCB5m8GmN2/tj6u9REpBFR/9ddwK4oxJuVjIutyaF6IyQ1WKrkwvy/V+CgS2QouDEAkEAkGzKEiD1N2X/5d1sHqOksfWNaDZhw3382h8AvL8FCWZucr+8oOMjaHT6Thw4ECLj5OUlERSUlKT9hk+fHiT34Q+8MADfPnll9x1110ALFu2jPvvv1/vwNTw9ttv88033/DJJ5/QpUsXtm3bxt13342vry8jR45Ep9MREhLCTz/9hI+PDzt37mTmzJkEBAQwdepUqqqquPHGG3n44Yf57rvvqKioYO/evU3uxVq+fDmPPvoo//zzD6A4XGPGjOGhhx5i8eLFlJWVMX/+fKZPn87mzZsBeOaZZ9i+fTurVq3C39+f559/noMHD9KnT5+r1vPjjz/y6quvEhcXx/Dhw/n666/58MMPDXJoFxUVce+99/LRRx8hyzLvv/8+EydOJDExETc3N/bt24efnx9ffvklN9xwg75HsLi4mIkTJ/Lmm2/i6OjIihUrmDJlCvHx8fqe5yvZsWMHLi4uBsPOm8ILL7zA+++/j6+vL7NmzWLWrFns3LkTgDVr1nDTTTfxwgsvsGLFCioqKli7dq1+3/vuu4/ExER+//133N3dmT9/PhMnTuTkyZP6VG6lpaW88847fP755/j4+ODn5wfAv//9b15++WVeeeUVQHG+b7jhBl5//XXefvttAJ544gkef/xx/XDvGTNmsGvXLj788EN69+7NuXPnyMnJITQ0lJ9//pmbb76Z+Ph43N3d9T33Ddnn+fPn+de//sXs2bOZOXMm+/fv56mnnjJqp7CwMPz9/dm+fTudOok0GyYnciRkHVfSsfS4Wb/a37MDc0aF8caGFL7Ym0nfjgE0z9JNx9HzufopIjHSeXylQkplR47LUTT/jicQtE6a7YDWNVyl3YYDFwgETSfvDFwZOF/WQt7ZFjmgTSKtuncpoAfYN34enuDq3H333Tz33HP6nsh//vmH77//3sAB1Wg0vPXWW2zcuJEhQ4YAEBUVxY4dO/j0008ZOXIk9vb2vPbaa/p9IiMj2bVrFz/99BNTp06lsLCQgoICJk+erH+wb44z1aVLF9599139/2+88QZ9+/blrbfe0q9btmwZoaGhJCQkEBQUxLJly1i2bBljx45FkiSWL19OSEj9wU6WLFnCgw8+yIMPPqivZ+PGjQa9oGPGjDHY57///S+enp78/fffTJ48GV9fXwA8PT0JCAhAlmXKy8vp3bu3gfP7+uuv8+uvv/L777/z+OOP16knJSUFf3//Zs/9fPPNNxk5ciQA8+fPZ/LkyZSXl+Ps7Mybb77J7bffbnD+evfuDaB3PP/55x+GDh0KwLfffktoaCirVq3i1ltvBZS8lv/5z3/0+9Vuo9qO3kMPPcRdd93Fk08+SWZmJgEBAXz44YeMHDmSpUuXkpqayo8//siGDRu47rrrAAycfm9vpUfKz89PP4WoMfa5dOlSOnXqpO/9jomJ4dixY7zzzjtGbRUUFKT/PQhMTNQo2B0HZ/822vTA6G78ejiDExcr+M+eHEYP0ll1mOXm09n6zzXDb/fpYugS4mctSQKB1Wi2AyrLMvfdd59+XlF5eTmzZs2iQwclilft+aECgUBghHcnkFRKz2cNkhq8o66+j6mx8eG3oASd6d+/P05OTo1+yafRaNi3b5/R+oEDBzZpLmhznBNfX18mTZrEV199hSzLTJo0iY4dOxqUSUpKorS0lHHjxhmsr6ioMBiqGxcXx7Jly0hNTaWsrIyKigq9o+Xt7c19993H+PHjGTduHNdddx3Tp08nMDCwSXr79zc890eOHGHLli11RkQ/c+aMXsfAgQP16729vYmJiam3nlOnTjFr1iyDdUOGDGHLli36/7OysnjxxRfZunUr2dnZaLVaSktLSU1NrffYxcXFvPbaa6xZs4aMjAyqqqooKyurd7+ysrImBT+6kl69euk/17R5dnY24eHhHD58WJ8j/EpOnTqFnZ0dgwcP1q/z8fEhJiaGU6dO6dc5ODgY1FHDgAGGwxWPHDnC0aNH+fbbbw1Sseh0Os6dO8exY8dQq9V6Z7kxNMY+T506ZfAdAL2zeiXOzs6UlpY2un5BEwgfCio7ZTRL3jnwjtRvUqlUvHNrH6Yt3cvh7Cp+2p3EnSOs0w96IjWHvxKKACU9WM3wW8eo4Y0fsSMQtCGa7YDee++9Bv/ffffdRmWaO+k+Li6O9957j8zMTHr37s1HH33EoEGDGtzv+++/54477mDatGmsWrWqWXULBAIL4REMUz6A359A6QmVYMoSZb2lcmHV9IAG9bNMfc2gdoCRxjqgLi4uREdHG8zLi46OxsXFxVwyDXjggQf0PW9xcXFG24uLiwFlqGZwsGHgqRoH+fvvv+fpp5/m/7N33/E1Xn8Axz/3ZkeWSEhCSOwtaM0SI2atVluKIvYPtao2iVpRo0Gpqq1FqVG1946YUSMkQlArZiIi897fH2meum4SCRkX3/frlVfyrPN8n/Oc3HvPPec5Z8aMGdSsWRNra2umTZumM2XJkiVLGDBgANu3b+f3339nzJgx7Nq1ixo1aqBWq/WeYU1ISNCLJeVL0xdja9myZaotWc7OzpnuxpwZXbp04eHDh8yaNUuZhqdmzZrEx8ene9zQoUPZvXs306dPp3jx4lhYWPDZZ5+le5yDgwOPHz/WWZfyhcOL+ZZangFKV1n4r/dTyrzgKd1Y34SFhUWq5T21+9W7d2/69+/P/fv3cXR0VK6jcOHCr3W/MlI+M+PRo0dK67XIYmZWUOhDuBEA1w7oVEAByhd2pENlB1acfsD3u6/RrLIbea3evHxmhkajYcyGsyRpobRtErO+rEKxXy9DItRo2j5HYxHCULx2BfRNh9JPy++//86QIUOYP38+1atXx9/fnyZNmnD58mXlGZDUhIeHM3ToUOrUqZMtcQkhskGVzhAbBTtHJ3eDrZI9I0WmKikR7gQl/23ALaCvy9nZGXt7e54/f46FhUWOTu/TtGlT4uPjUalUysA+L3pxYJm0WqZSumj27dtXWZfaQC6VK1emcuXKjBw5kpo1a7Jy5Upq1KiBo6Mj58/rDj4SFBSkU3FKTZUqVVi3bh1ubm4YG+u/RRYrVgwTExNOnDhBiRIlgORBdUJCQtJtZStTpgyBgYE6X8weO3ZMZ58jR44wb948mjdvDsDNmzd1Bj+C5Irfy5N9Hz16lK5duyoD/URHR6c6IM6LKleuzN27d3n8+DF58+YFUCpJd+7cUVr6XhyQKKMqVqzInj178Pb21ttWpkwZEhMTCQwMVLrgPnz4kMuXL1O2bNlMn6tKlSpcvHiR4sWLY2VlhZOTk07LfYUKFdBoNBw4cEDpgvuilFF0X8zTjJTPMmXKsGnTJp11L99PSO4dFhYWpjcIl8hC7p7JFdCrB6BqV73Nw1tUYuelfdyL0eC7/jSzOtfO0fDWH7/CmTuxGKuhCldxT8qLcWIMWNhDgVcMlCfEO8rgZi2eOXMmPXv2xNvbm7JlyzJ//nwsLS1ZvHhxmsckJSXRsWNHxo8fr/NshxDiLVCuTfLvexfg+ZOcO+/9S5AQA6bW4FAi586bg8zMzLCzs8vxuWWNjIwIDg7m4sWLqT5zZW1tzdChQxk8eDDLli0jLCyM06dPM2fOHJYtWwYkP5t58uRJduzYQUhICGPHjtXpVnzt2jVGjhxJQEAA169fZ+fOnYSGhirPgTZo0ICTJ0+yfPlyQkND8fHx0auQpqZfv348evSIL7/8khMnThAWFsaOHTvw9vYmKSkJKysrunXrxqhRo9i7dy/nz5+na9eur+yuPHDgQBYvXsySJUsICQnBx8eHCxcu6OxTokQJVqxYQXBwMIGBgXTs2FGvNdHNzY09e/YolceU49avX09QUBBnz56lQ4cOSmtkWipXroyDg4My+BIktzrWqFEDPz8/goODOXDgAGPGjHllnr3Mx8eHVatW4ePjQ3BwsM6zkSVKlKB169b07NmTw4cPc/bsWTp16kTBggVp3bp1ps81fPhwjh49ytdff8358+cJDQ3lzz//VFrg3dzc6NKlC926dWPjxo1cu3aN/fv3s2bNGgCKFCmCSqVi8+bN3L9/n+jo6AyVzz59+hAaGsq3337L5cuXWblyJUuXLtWL79ixY0pLtsgmResl/752AFIp9xZmJvStlvwly6aLTzhy6VaOhfYsNp7vdyZ/cfZZ+byYxUeiDj+UvNG9LrzB/LtCvM0MahTc+Ph4Tp06xciRI5V1arUaLy8vAgIC0jzuu+++I3/+/HTv3p1Dhw698jxxcXE6z6imTJz68vrskJSUREJCAnFxcbk6AXBuxyBx6Eopd7n97HSu5IW5Iyb2xVA/CiPhyn40JZvlSBzqSzswATSOpUlISAQSdbbnVrmIj49XnmHTaDRotVplOTcHekvplpkSS2rbX9yW8gxlyvLL28ePH4+DgwNTpkzh6tWr2NnZKS2ZGo2Gnj17cvr0adq1a4dKpaJ9+/b873//Y/v27Wi1WszNzQkODmbZsmU8fPgQZ2dn+vbtS8+ePdFoNDRq1IgxY8YwbNgwYmNj8fb25quvvuL8+fM68b98PU5OThw6dIgRI0bQuHFj4uLiKFKkiNKSq9FomDp1KpGRkbRq1Qpra2uGDBlCZGRkmnkD8Pnnn3PlyhUlnk8//ZQ+ffqwc+dO5ZhffvmFPn36KNPZTJw4kWHDhumkO23aNIYOHcovv/xCwYIFuXjxItOmTaNnz57UqlULBwcHhg0bRlRUVLrxpEw58uuvvyotrgALFy6kZ8+eVK1alVKlSuHn50fTpk2V8piS3st/v7iubt26/P7770yaNAk/Pz9sbGyoU6eOst+iRYsYNGgQLVq0ID4+njp16rB582aMjIxSTfflcvbi+vLly7Nv3z7GjBnDp59+CiS3Un/xxRfKfnPnzmX06NH07duXhw8fUrhwYUaMGIFGo8HZ2RlfX19GjBihlJElS5a8snymjND8zTffKI8JTZw4kR49euj8v65cuZIOHTpgbm7+yi8FXkfKa0RKj4MUhvC+lmMxOJbH1MQSVcxD4v85g/alEc2TkpKoWMCM+u552HftGaM3nGfzgLyYGGd/vkz7K4iIGA325iq+bliShaG7kkfsBRIK10aTC+/571XZkDgyLCs+h2bmWJXWgCbwvH37NgULFuTo0aM63xYOGzaMAwcO6Dz7k+Lw4cO0b9+eoKAgHBwc6Nq1K0+ePEn3GVBfX1+d0flSjBgx4o0GZRBCvJ7m2j18yFkC8WC7qsGrD3hDlbXnaMkuVCQ/ffoXjTijMoyuUHny5KF27doULFgw1S6gQmSViIgI6tevz44dO145iq/IvEePHlGnTh22bduW5nQ4byoxMZFbt25x5MgRnblP3zcdtOspQTg7qUuAKvV5NRONLFgXW46YRGjkEEWhZyGp7pdV4k2sWBNdmgQNtHR4gMOzcEy0CQznR4zQspgvuKmS/zvx7oiNjcXPz4/IyEhsbGzS3fet/nTz9OlTvvrqK3755Re9URbTM3LkSIYMGaIsR0VF4erqypAhQ16ZYW8qKSmJy5cvU6pUqVz95im3Y5A4dMXFxfHDDz8wePDgHO8u+aLcygv1pXKwoTsfOjzHo+eI7I0j6jam86qg+verNxXQUrWXJn2ngY2Lsltu5UVcXBz//PMPDg4OmJubo9VqiYuLw8zMLNdbQO/du0eBAgVyPY7czg9DiCEr4nBycmLRokU8f/4cJ6fXn/rIEPLDEMvnP//8w7x58zI0iOLrio2NJTo6ml69eum8dxjC+1pOxmB03Bb2+NCwqAme7UakGYfLoVCm7vuH/Y9sGO3VllolC1DEMXs+93kvPEJC1HPKOpryfd8vSEhI4MLM1hj9O/2Yt+oPEpvNQFOpY7acPy3vW9mQODImKz6HRkVF4efnl6F9DaoC6uDggJGREffu3dNZf+/evVTfHMPCwggPD6dly5bKupQuLsbGxly+fDnViZ/NzMxSzdy01melpKQkTExMMDMzy9V//NyOQeJIXU6UwfTkWl6UaACoUD+4jFn8Y5IsHbMvjuibulO/ACptEmbR/4DjfyMo5lZepEwloVarlZFcU5Zz84N1ymtrSiy5xRDywxBiyKo4Urqt5nYcb8oQy2e1atWytfIJKHluamqqVwHN7fe1HI2hREPY44PRzWMYGanA2DTVOHp5VWD58TvceZaE787rqHZeZ0TDwvRulLU9YLafucbRm89RARPaVMDCwgJ19F1qcFrZR6XVYLJtKJRqkjz6ew5578qGxJEpb/I5NFPTvL3WGbKJqakpVatWZc+ePco6jUbDnj17Un2Av3Tp0pw7d46goCDlp1WrVtSvX5+goCBcXV1zMnwhxOuytAfnf+f8S2VC8SxlX4zkds8X5PT8o0IIIbJO/nJg6QAJz+DWyTR3++fhU+4++2/EYy0wdc8NrkdEZlkocQmJTNh6GYBWZe2oWiy5AUX1KOzldx7QJsGjq1l2biHeFgZVAQUYMmQIv/zyC8uWLSM4OJj//e9/PHv2TBnOvXPnzsogRebm5pQvX17nx87ODmtra8qXL68Mry6EeAu8OJJhdrItqDvtisrov/lHhRBCvH3U6uRRZQFOLYfI1Ee6vXz7MS8PfKIBQu48ybJQZm//m1tPk7A2VTG2zQvT72hSmVNXvvwU7ymD6oIL0K5dO+7fv8+4ceO4e/cuHh4ebN++nQIFCgBw48aNXO1eI4TIJu6ecGRWcgtodo6NlpQID/+dnL7pVCjTUiqfQgjxtjP+t/vf36vg3O/Qcpbe3NKlXPIqg8+9qICdBVnh1sOnLAq8A0D/Oq442Fgq29T/JE8jpeXfPjjy5ad4jxlcBRSgf//+yhxeL9u/f3+6x6Y2D5cQ4i1QuCYYmULUP9nbJelmIMQ+AYu88GEPMDLIl0EhhBAZFXkL/v79v2WtBv4aBMUagtV/Y4gUyW/LiIaFmbrnBi+OBPD91oss7+3wxg0cPuvPEJsIxfKa0KNBOZ1t6pCtACQ2nIBJocrJLZ9S+RTvKWlKFEIYBlNLKJQ8YIcq/GD2nSdke/Lv4o2k8imEEO+CR2F6g8ul9Xxl70YV2DfkI375sjzTWhfHSAWHrz9jzva/X/v01yMi8d9yht1hTwEY36osRkYvfMR+GIb6fjBJqNFUaAfudaTyKd5r8ulLCGE4inrC9cOorh2AcjWy5xwhO5J/l2qaPekLIYTIWfbFQKXWrYSm83xlkfy2FMlvC8DNhzHMPnyb2Ydu8UFRR2qXzlzF8Odd5/Dbc0Pp1lvawYSPyrw0v+elzQCEU4hCFnaZSl+Id5G0gAohDIe7Z/Lv8EP632ZnhUdX4cFlUBsnd80SQgjx9rMtmPzMp+qFj7XNp2WolXFQ80rUKmxJkhYG/v439yNjMnza6xGROpVPgMsPEvRH1Q1OroBeoniG0xbiXSYtoC9ISkoiKSnp1Tu+4Tle/J0bDCEGiUM/BmNj4xwpg6+K48XfOc6pEmpTK1TPH2P+JJSkpNJZmrzq0jbUgLZwTTSm1pDOdeZWXiQlJaHVanV+AOV3bkmZ3/DFmHIrjhd/G0oM9evXp1KlSvj7+2c4HV9fX/7880/OnDmTZXFklqenJ71796ZDhw5A8ryS69evp02bNqnuHx4eTtGiRTl9+jQeHh5ZFsebehfKp7u7OwMHDmTQoEHEx8dTqlQp1q5dywcffJDu+bRard57R66/ludGDJU6gpsn6oUNUMU8IClPfnghX9KLY3bHanw8+yD3nmnouyyA3/rU1e1Cm4adf9/QG9BIC1y69ZBC+aySVzy9g9E/xwG4YlyK+u/7+7yBxCBx6Mfwpp9DM3Pce10BnTt3LnPnzlUy7PLly1hZWeXIuUNCQnLkPIYeA0gcKVq3bs3Vq4YxH1hu5kXhfJWwuXMEq4iThISUytK03YLWYwXctfHgYXBwho7J6bzQaDRotVri4uJ01r+8nBvs7OyIj49PdVuvXr349ddf6d69O3PmzNHZNmjQIBYsWECnTp1YsGBBlsRiCPnxYgwajYakpCRiY2MzfHxiYiIajSZTx1haWrJ69WpatWqVahyZsXnzZu7evUubNm10YoiPj08zJkdHR65evYqDg4PePrl9T9Irn9mldOnSqQ6c+Dp5odVqSUxMVPJ1wIABDBs2jK1bt6Z5TFxcHAkJCYSFhaU6gE5uv6/lRgxOLvVxuLKWqMBfuaVxz3Acwz/Kx/Bd9zlxO5bv1hyhvYdDmvsmJmlYd/4xq85H621TA8axjwkOTm5JtQ/bgAsQY1+Ohg06yfu8gcUAEkeKN/0cGh2t//+Qlve6AtqvXz/69etHVFQUtra2lCpVChsbm2w9Z1JSEiEhIZQsWRIjI6NsPZchxyBx6IqLi+OHH35g8ODBmJmZ5UoMYBh5oYpqDneOkCfiFPYtx2ddHHFRqNefBSD/R1+RP1/6XaFyKy9iY2O5fv06ZmZmmJubK5VRMzMzVCq9aczTdSfyOeEPYnBzsMTZ9s2mGdBoNERERJA/f/5UP+gaGRnh6urKH3/8wezZs7GwsFCuZ82aNRQuXBgjIyPMzc3fKI43yY9XiY+Pz9D80anFoFarM319xsbGqNXqTOeJqanpG5cNgJ9//hlvb28sLS111qekn5Y8efLoLGfnPcmo9MpnQkICJiYmOusyeq9fRaVSYWxsrOTXm+TFy2l17dqVkSNHEhYWRrly5dI8zsTEhCJFiujcM0N4Lc+1GPJ0hStrsbsXgE3JYiRhlKE4ypSBu/Hn+X7fP6y88AzPCm40KO+qt9+Fmw8YvvYslx8mz+tZyNqIW0+T0JJc+RzWwJV61f67X+rTowEwrvAJf/75p7zPG0gMEoeurPgcGhUVleF95RnQFxgZGeXIT06ey5BjkDh0fxITE3M9BkPIC3Wx+gDkeXAWI20W5sm1A6g0CZCvOEb5Sxl0XqhUKuUHICY+iecJmfv59dh1Ppq6jw4LA/lo6j5+PXY902kAOrGkdHNM7QegSpUquLq6smHDBmX9hg0bKFy4MJUrV9ZJT6vV4ufnR9GiRbG0tMTDw4N169Yp2zUaDT169FC2ly5dmtmzZyvnUqlUHDhwgOrVq2NlZUXevHn56KOPuHHjBiqVCm9vbz755BOdGAcPHkz9+vWV5fr16/P1118zePBgHB0dadq0KSqVigsXLtC8eXOsra1xcnKic+fOPHz4UDkuJiaGHj16YGNjg4uLCzNnztTLq9R+pk6dipOTEzY2NvTo0UNpJUvZfvLkSRo3boyjoyN2dnbUq1ePM2fOKNvd3ZNbcz799FPUajVFiyYPsHL16lXatGmDk5MT1tbWVKtWjT179qQby4MHD9i7dy+tWrXSu493796lefPmWFpaUqxYMZ37cv36ddRqNWfPntW5T2XKlCFPnjw69ynlJ737lNrPrVu36NChA/ny5cPKyooPP/yQ48ePK9vnz59P8eLFMTMzo3Tp0vz666865VOtVjN//nxat26NlZUVkydPZvz48VSuXJlFixZRtGhRLCwsUKlUREZG0rNnT/Lnz4+trS0NGzbk77//1oln8+bNVKtWDQsLCxwdHfn000+V8nP9+nWGDBmCWq1GrVYreXjkyBHq1q2LpaUlhQsXZuDAgcTExChp3r9/n1atWmFpaUnRokVZuXKlXhmyt7endu3a/P77768sW4b0+pXrMRSpCXkcUcVGYnTjaKbi6NOoAg2KWqHRwrfrL3IvMkbZpkXFzC1nabvgJJcfJmBhDCMbFubgyMbs/3dU3X1DPqJP44r/pRkfhSr8cPKHzNIt5H3ewGKQOHR/sqJ8ZtR73QIqhDBA+cuizeOI+tl9km6dhKJ1sybdlNFvS75do98+T0ii6pQDb5SGRgtj/7zA2D8vZOq4i981wdI0c28T3bp1Y8mSJXTs2BGAxYsX4+3tzf6X5nCeMmUKv/76K/Pnz6dEiRIcPHiQTp064ejoiKenJxqNhkKFCrF27Vry5cvH0aNH6dWrF05OTrRq1YrExETatGlDz549WbVqFfHx8UolJTOWLVvG//73P44cOQLAkydPaNCgAT169OCHH37g+fPnDB8+nC+++IK9e/cC8O2333Lo0CE2btxIgQIFGDVqlM4zkalZs2YNvr6+zJ07l48++ogVK1Ywe/ZspRIJ8PTpU7p06cKcOXPQarXMmDGD5s2bExoairW1NSdOnCB//vwsWbKEpk2bKi190dHRNG/enEmTJmFmZsby5ctp2bIlly9fpnDhwqnGc/jwYSwtLSlTpozetrFjx+Ln58esWbNYsWIF7du359y5c6num3Kffv31V1xcXAgICKBXr144OzvzxRdfZPo+RUdH4+npScGCBdm0aRNOTk6cPn0ajSZ5ULINGzYwcOBA/P398fLyYvPmzXh7e+Pi4qITn6+vL35+fvj7+2NsbMzixYu5cuUK69atY/369coHpc8//xwLCwu2bduGra0tP//8Mw0bNiQkJAR7e3u2bNnCJ598wujRo1m+fDnx8fFKl9j169dTqVIlevXqRc+ePZVzX716lWbNmjFx4kQWL17M/fv3lW66S5YsAZJbN2/fvs2+ffswMTFhwIABRERE6OVHtWrVOHToUKp5JdKgNoLSLeDUEgjeBO71Mn6oWo1/pxo0+2Eft54m0W1xAIMalsBYrWLazhCl1bOyszkz21fFvYAdoDuqro6QHaBJTH5fS2NEXiHeR1IBFUIYFpUKrVsdVBfWJ0/HkhUVUE0ShKZUQJu8eXoiTZ06dWLkyJFcv34dSG4JWr16tU4FNC4ujsmTJ7N7925q1qwJQNGiRTl8+DA///wznp6emJiYMH78eOUYd3d3AgICWLt2La1atSIqKorIyEhatGhBsWLFAFKtIL1KiRIl+P7775XliRMnUrlyZSZPnqysW7x4Ma6uroSEhODi4sLixYtZvHgxDRs2RKVSsWzZMgoVKpRa8gp/f3+6d+9O9+7dlfPs3r1b5znKBg0a6ByzYMEC7OzsOHDgAC1atMDR0RFIftbRyckJrVZLbGwslSpV0qn8TpgwgQ0bNrBp0ya9ZxNTXL9+nQIFCqTanfrzzz+nR48eSlq7du1izpw5zJs3T2/flPsUGxuLubk5RYsWJSAggDVr1vDFF19k+j6tXLmS+/fvc+LECezt7QEoXvy/7vLTp0+na9eu9O3bF4AhQ4Zw7NgxZsyYwcKFC5X9OnTogLe3t07a8fHxLF++XMnHw4cPc/z4cSIiIpQuZ9OnT2fjxo388ccf9OrVi0mTJtG+fXudslipUiUA7O3tMTIyUlrKIbkL7rRp0+jQoQODBg0CksvY7Nmz8fT05KeffuLGjRts27aN48eP8+GHHwKwaNGiVPPFxcVF+V8SmVCmZXIF9NIWaDotU4faWJoxr2MVPv35BJceJNDn94vKNnNjGOxZmJ4Ny6X6v6Mn+K/k36VbZCoGId51UgEVQhged0+4sB7VtYNZk96tUxDzEMxsoXDNrEkzh1iYGHFqpCfm5hl/puxuZCxeMw+geWF4RrUKdg/xxMk2488bWphk/lkUR0dHPv74Y5YuXYpWq+Xjjz/GwUF3MI8rV64QExNDo0aNdNbHx8crXXUheaC4xYsXc+PGDZ4/f058fLxS0bK3t6dr1640adKERo0a4eXlxRdffIGzs3Om4q1atarO8tmzZ9m3b1+qA9KFhYUpcaRUHFJiKVUq/QGzgoOD6dOnj866mjVrsm/fPmX53r17jBkzhv379xMREUFSUhIxMTHcuHEj3bSjo6MZP348W7Zs4c6dOyQmJvL8+fN0j3v+/Hmaz3mmfCnw4nJQUFCaac2dO5dFixbxzz//vPF9CgoKonLlykrl82XBwcH06tVLZ13t2rWZNWuWzrrURo4tUqSIUvmE5HsdHR1Nvnz5dPZ7/vw5YWFhSjwvtm5mxLlz5zh//rzSrRaSK6YajYZr164REhKCsbGxTtkrXbo0dnZ2emlZWFgQE5PxaUHEv9zrgrkdPLsPNwOBvJk63M7STOf1M8UvHSpSp6z+c6Gpio+BK3uS/y4jFVAhXiQVUCGEwdGmzAd6+zTEPQUz6zdL8PK25N/FG4KRSfr7GhiVSoWlqRHmpsYZroAWdbRiyqcVGLX+PElaLUYqFZM/LU9Rx5wZ5btbt25Ky9vcuXP1tqeMlLdlyxYKFtSdpy+lJWr16tUMHTqUGTNmULNmTaytrZk2bRqBgYHKvkuWLGHAgAFs376d33//nTFjxrBr1y5q1KiBWq3WmwojISFBL5aXB9SJjo6mZcuWTJ06VW9fZ2dnrly5kpEseC1dunTh4cOHzJo1iyJFimBmZkbNmjVfObLr0KFD2b17N9OnT6d48eJYWFjw2WefpXucg4MDjx8/fuOYV69ezbfffsuUKVOoW7cuNjY2mbpPL0sZvOpNvXxfU1sXHR2Ns7OzXvdwQKkMvk48z549o1evXgwcOFBvW+HChTM10uWjR490Ks0ig4xMoFRzOLsS1aVNULhLpg6/fPux3vQqALEJmZifOmwPJD4Hu8LgVBFyeIRmIQyZVECFEIbHrjDxeVwwfXYbrh99826zb+nzn2+i3YeFqVvSMctGwc2Mpk2bEh8fj0qlokkT/XtXtmxZzMzMuHHjBp6enqmmceTIEWrVqqV0tQSUVqkXVa5cmcqVKzNy5Ehq1qzJypUrqVGjBo6Ojpw/f15n36CgIL3RUF9WpUoV1q1bh5ubG8bG+m+RxYoVw8TEhBMnTlCiRAkAHj9+TEhISJrXAsndTgMDA+ncubOy7tixY3rXPG/ePJo3bw7AzZs3efDggc4+JiYmenOtHT16lK5du/LJJ58AyRWr8PDwdK+zcuXK3L17l8ePH5M3r27r0LFjx/TifLFl+uWYa9WqRe/evTE3N0elUmXqPr2sYsWKLFy4kEePHqXaClqmTBmOHDlCly7/VSiOHDnyWt2vq1Spwt27dzE2NsbNzS3VfSpWrMiePXv0uvOmMDU11bsfHh4eBAcH63QdflHp0qVJTEzk1KlTSkv65cuXefLkid6+58+fTzPvxSuUaflvBXQzuHZ+9f4vKOWSFxXoVELVQElnu4wnErw5+XfplpBLo0MLYahkFFwhhEGKzv9vF7qrbzYAD09uQMQFUKmhRKNX7/8Ocba1oGaxfDla+YTkkfyCg4O5ePFiqqPiWVtbM3ToUAYPHsyyZcsICwvj9OnTzJkzh2XLlgHJz82dPHmSHTt2EBISwtixYzlx4oSSxrVr1xg5ciQBAQFcv36dnTt3EhoaqlREGjRowMmTJ1m+fDmhoaH4+PjoVUhT069fPx49esSXX37JiRMnCAsLY8eOHXh7e5OUlISVlRXdunVj1KhR7N27l/Pnz9O1a9dXPg82cOBAFi9ezJIlSwgJCcHHx4cLF3QHhSpRogQrVqwgODiYwMBAOnbsqNcC5+bmxp49e5TKY8px69evJygoiLNnz9KhQwdl0J60VK5cGQcHB2XwpRetXbuWxYsXK3EeP348zWdJU+7Trl27Xus+vezLL7/EycmJNm3acOTIEa5evcq6desICAgAkgeAWrp0KT/99BOhoaHMnDmT9evX880336R7vanx8vKiZs2atGnThp07dxIeHs7Ro0cZPXo0J0+eBMDHx4dVq1bh4+NDcHAw586d02kdd3Nz4+DBg9y6dUv5smDIkCEcPXqU/v37ExQURGhoKH/++aeSh6VKlaJp06b07t2bwMBATp06RY8ePVJtbT106BCNGzfO9LUJoFgDMMmDKuo2Fo8zNu9ziiL5bRnRsLDyIVkNDG9YOPWBhlKTlAAh//a8ke63QuiRCqgQwiBF5//3+air+98soZTWT9fqYJn6c2Ui69nY2KQ7r/KECRMYO3YsU6ZMoUyZMjRt2pQtW7YoU4307t2bTz/9lHbt2lG9enUePnyo0xpqaWnJpUuXaNu2LSVLlqRXr17069eP3r17A9CkSRPGjh3LsGHD+PDDD3n69KlOq15aXFxcOHLkCElJSTRu3JgKFSowaNAg7OzslErmtGnTqF27Nq1atcLLy4uPPvpI71nSl7Vr106Jp2rVqly/fp3//e9/OvssWrSIx48fU6VKFb766isGDBhA/vz5dfaZMWMGu3btwtXVlSpVqijr8ubNS61atWjZsiVNmjRRtqXFyMgIb29vfvvtN71t48ePZ/Xq1VSsWJHly5ezatUqypYtm2o6Kfepc+fO1KhRI9P36WWmpqbs3LmT/Pnz07x5cypUqICfn5/yRUabNm2YNWsW06dPp1y5cvz8888sWbKEevXqpXu9qVGpVGzdupW6devi7e1NyZIlad++vTJAE0C9evVYu3YtmzZtwsPDgwYNGnD8+HElje+++47w8HCKFSumdJWtUKEC+/fvJyQkhDp16lC5cmXGjRuHi4uLctySJUtwcXHB09OTTz/9lF69eund64CAACIjI/nss88yfW0CMDGHksmVd5tbmf8is3ejCux7YXqV3o0qZPzg8MMQGwl5HJPfe4QQOlTalx+SeQ9FRUVha2vLo0eP0v3AlBUMYbJZQ4hB4tCVFRMAZwVDyIuUOMLOBVLmr+RvjpOGXE5+I38N6pWfowrbg6ahL9paAzIVQ27kRWxsLNevX8fd3R1zc/M3mtg+K2k0GiIiIsifP3/GRn/MJoaQH4YQQ1bEcffuXcqXL8+pU6coUqRIrsWRFd7F8tm+fXsqVqzIqFGj0twnNjaWa9euUaRIEZ1BpQzhtdwQYlBd2IB6fXfirAqh+vo0Rql0q8+W824divrUYjSVO6Nt4Q/I+7yhxSBx6MqK8hkVFYW9vT2RkZGvrE+91xXQuXPnMnfuXOXGBwQEpDryoRAidxTb1QWLyCvcrD6eSFevTB+vToyh9KbmqDUJhDb+lTgb92yIMmtpNBq0Wq0yCI0Q2WnTpk3ky5eP2rVr53Yo4gXx8fHMnDmTgQMHpjsQUlxcHNevX0elUuVqxdtQqROeUfqvFqg18YQ2Wk6cbbHsP6lWQ6ktbTCJfUh47elEO79dI68L8bqio6OpWbOmVEAzSlpAc4fE8R/5ZjT1OMrc+BWj4z+hqfwV2hazXn3gyy5twWjtV2jtiqDpfzpTA0FIC6iud7GF6W2OQeLQ9b6WT2kBfTXV6g6oQ7eT9NG3UH9k9p/wnxMYLWmC1tQKzTehYJz8ni7v84YVg8ShK6dbQGUU3BcYGRnl2I3PyXMZcgwSx3/nTkxMlLx4WdF6cPwn1NcOwuvEc2UnAKpSzV6761VO54WRkREqlUr5SfHyck5TqVRotdpcj+PFeHI7DkOIQeL479zvY/lMOU9ar1OG8Fqe2zFoyrSC0O2oL29G5TUm+08YshUAVcmmGJlZKqvlfd4wY5A4/jv3m5bPzBwn/TWEEIarSE1QG8OT6/DoWuaO1WggNLkC+sbTuAghhHgraUs2RasyQnU/GB5k3zy+ySfTQvBfyX/L6LdCpEkqoEIIw2VqBQX/nY7lWiZHMbxzBqLvJadRRJ5vE0KI95KF3X+jqgdvyt5zRQTDo6tgZAbF369pv4TIDKmACiEMW9F6yb8zOx9oyvQrxRooz+AIIYR4/0QV9Ez+I6V1Mrtc2pz8u1gDMJNBLYVIi1RAhRCGrei/HxyuHUzuVptRl/+dBLxk06yPSQghxFsjyqUuWlRw+zQ8uZl9J0ppYZXut0KkSyqgQgjDVvADMLGEmAdwZgVE3nr1MVG34e7fgApKNM72EIUQQhiuJHN7KFwjeSGllTKrPQ6Hu+dApYaSzbLnHEK8I6QCKoQwbMamkLdI8t9/DQD/8nB6efrHpHS/LfQBWDlmb3xCCCEMnrZ0y+Q/LmbTc6CXtiT/LlIb8uTLnnMI8Y6QCqgQwrBF3oKIS/8tazXw16D0W0JDtif/ltFvxVtEpVKxceNGAMLDw1GpVAQFBb12elmRhhDvCm3pf7vF3giAp/eyNvHIW3Dmt+S/y7TM2rSFeAfJPKAvSEpKIikpKdvP8eLv3GAIMUgc+jEYGxvnSBl8VRwv/jaIOB6EYoRWdwdtEprjv6CtMxRMLHS3JcSgvrofFZBUvAm85rXkVl4kJSWh1Wp1fgDld25JmWPxxZhe5O3tzbJly/TWh4SEULx4cby9vXny5AkbNmxINf3nz5/j5+fH6tWruX79OtbW1tSvXx8fHx/KlSun7Ofr68t3330HgFqtxsXFhaZNm+Ln54e9vb2yn7u7OwMHDmTQoEEAnD17lnHjxnHs2DGioqJwcnKievXqzJ49m/z582c6L178nZVS8rdQoULcvn0bBweHNM/zYhyp5W9G0siqmF/8nRteVT5zMo4Xf+fE+bRard57hyG8lhtCDDpxWDmjdqmC6vZpNMGb0VbtmiXpq86sQLVlMCpt8hgFmvgYtKlcs7zPG1YMEod+DG9aPjNz3HtdAZ07dy5z585VMuzy5ctYWeXMqGUhISE5ch5DjwEkjhStW7fm6tWruRpDitzOixQhISEYx2gohRoVugMQqY/8QOLxhTwp0pTHRdsQZ+MGgG34VlwTY4k3dyDkoQoeBb9xDDlJo9Gg1WqJi4vTWf/ycoZE3Ub9+CqavEXBxuWNY7OzsyM+Pj7VbUlJSTRq1Iiff/5ZZ72joyOxsbHKm1psbKzesXFxcTRr1oybN2/i5+fHhx9+yL1795g+fTo1atRgy5YtVKtWDYDExETKli3L5s2bSUpK4vLly/Tp04fHjx+zYsUKJU2tVktiYiKxsbHcv38fLy8vmjVrxp9//omdnR3Xr19ny5YtPHr0CBsbm9fKj9TuSUJCAiYmJq+VHkB8fLySR3Z2diQmJpKYmPjKONLK34ymkRVeq4xmofTKZ07LqbyIi4sjISGBsLAw1Gr9Tm2G8FpuCDFAchwO9tVxun2amJOrCLes/sZpGsdEUGrrYJ33J9Xe7wgxq0Sipf4XW/I+b3gxgMSR4k3LZ3R0dIb3fa8roP369aNfv35ERUVha2tLqVKlXvuDSEYlJSUREhJCyZIlMTIyytZzGXIMEoeuuLg4fvjhBwYPHoyZWe5NGWIIeaEfRxm06h9gyxBU2iS0KjXakk1R3f0b48h/cLiyFocra9EWronWvjiqoORKiEnsQ8rGnUJb+assiCHn8iI2Npbr169jZmaGubk5Wo2GuOjHmJmZoVKpMp7Q2VWwbRgqrQatSg3NvodKX2YuGBNL+PecGo2GiIgI8ufPn+oHXSMjIywtLXFzc0s1KSMjI4yMjDA3N9fbNmvWLAIDAzl9+jSVKlUCoGTJktSuXZsaNWrQt29fzp07h0qlwtjYGCMjI4oUKYJKpaJYsWJ8/vnnLF26VCftlH3Nzc05deoUkZGRLF68GGPj5Le90qVL06RJ+l203d3d6datG8HBwWzatAk7OztGjhxJ3759iYuLw8zMDCMjI+bOncv27dvZs2cPQ4cOxdfXlz///JPvvvuOixcv4uLiQufOnRk9erRy/tDQUHr06MHx48cpWrQo/v7+AJiammJubk54eDhFixbl9OnTeHh4AHDhwgVGjBjBwYMH0Wq1eHh4MH/+fNasWcOvv/4KgKWlJQB79+7Fzc1NL40DBw4wbNgwzp49i729PZ07d2bixIlKXPXr16dChQqYm5uzaNEiTE1N6d27N76+vmnmU8oXJpkuo1noVeUzp+RGXpiYmFCkSBGd8m8Ir+WGEINeHPm7wfmfyPPgDGXcnMAi75slHv5A78tRlVZDiXxG4FZGZ728zxtWDBKHrqwon1FRURne972ugL4s5QPSu3YuQ45B4vjv3ImJiZIXacXxQVco0QgeXUVlXxSVbUHQJEHYXji5BEK2o7oRgOpGgHKsCi2qLUOSj7Mt+OYx5BAjIyNUKpXyQ+JzLH4o9kZpqrQa2Do0+SczRt0G0zzJafzbvVGJK61zveJDd2rbV61aRaNGjZRKUgojIyMGDx5Mx44d+fvvv3W2p8QRHh7Ozp07MTU11Us7ZR9nZ2cSExPZuHEjn332WaYqBtOnT2fUqFGMHz+eHTt2MGjQIEqWLEmdOnWUdMaPH4+fnx/+/v4YGxtz+PBhunTpwuzZs6lTpw5hYWH06tULlUqFj48PGo2Gtm3bUqBAAQIDA4mMjFS6Cuvc+xeWb926haenJ/Xq1WPv3r3Y2Nhw+PBhEhMTGTp0KJcuXSIqKoolS5YAYG9vz+3bt/XS+Pjjj+natSvLly/n0qVL9OzZEwsLC50K5vLlyxkyZAiBgYEEBATQtWtXPvroIxo1apRuXr2qbGSnjJbPnIwnJ+JIOU9ar1OG8FpuCDEoceQvCfnLoYq4gFHAHKjW643eH7B311+nMsLIoTi8dM3yPm+YMUgc/537TctnZo6TCqgQ4u1gW1D3g4LaKLlyWaJR8rQreydC0G+6x2iT4NHVN/uAITJs8+bNOo8xNGvWjLVr177yuJCQEOrXr5/qtjJlyij7vNgSaG1trdPldObMmWmmX6NGDUaNGkWHDh3o06cP1apVo0GDBnTu3JkCBQqkG1vt2rUZMWIEkNwqe+TIEfz9/alTp46yT4cOHfD29laWu3XrxogRI+jSpQsARYsWZcKECQwbNgwfHx92797NpUuX2LFjBy4uyV2jJ0+eTLNmaU/dMHfuXGxtbVm9erXSxbdEiRLExsZibm6OhYUFcXFxODk5pZnGvHnzcHV15ccff0SlUlG6dGlu377N8OHDGTdunNJyWLFiRXx8fJRz/Pjjj+zZs+eVFVAh3gp2hSHiAhzxh6OzoeUsqNL59dI6Nk93WWUELf3lPUeIV5AKqBDi7WfjAvVHJ3c71b7QHUplBPZFcy+urGBiyfPBYZibm2e8RSXqNsytpp8X/QIz9yyoiWWmQq1fvz4//fSTspwnT54MH5uZQVtKlizJpk2biIuL49dffyUoKIivv/463WMmTZrEkCFD2Lt3L4GBgcyfP5/Jkydz8OBBKlSokOZxNWvW1FtO6S6b4oMPPtBZPnv2LEeOHGHSpEnKupTKckxMDMHBwbi6uiqVz9TO87KgoCDq1KnzRs+XBgcHU7NmTZ1yVLt2baKjo/nnn38oXLgwkFwBfZGzszMRERGvfV4hDEbkLQjd8d9yyqjqxRpmvtJ49ncInJ/8d6s5kNc9+f1GKp9CvJJMwyKEeDfYFkz+Jlv1bxeQd+WbaJUquRtsZn4cSqSeFw4lMpdOJrsQ5smTh+LFiys/zs7OGTquZMmSBAenPlhUyvqSJUsq60xMTChevDjly5fHz88PIyMjxo8f/8rz5MuXj88//5zp06cTHByMi4sL06dPz1CM6Xm5oh0dHc348eMJCgpSfs6dO0doaGiqz8BmhIWFxat3yiIvV3JVKhUajSaNvYV4izwK0/1iDv7rKZMZd84mz0sNUHdYcguqe523//1GiBwiLaBCiHdHlc7J32Q/uirfRL9FedG+fXtGjx7N2bNnlUGIIHlgmR9++IGyZcvqrH/ZmDFjaNCgAf/73/90WhXTY2pqSrFixXj27Fm6+x07dkxvOaVbcFqqVKnC5cuXKV68eKrby5Qpw82bN7lz545SSX/5PC+rWLEiy5YtS3OUXVNT01cOgV+mTBnWrVunPCsJcOTIEaytrSlUqFC6xwrxTrAvBiq1fiU0Pv3XAR3PHsLqTpAYCyUaQ72RWRujEO8BaQEVQrxbbAvKN9EpDCwvIiMjdVoFg4KCuHnzJoMHD6ZatWq0bNmStWvXcuPGDU6cOEHbtm0JDg5m0aJF6XY/rlmzJhUrVmTy5Mmpbt+8eTOdOnVi8+bNhISEcPnyZaZPn87WrVtp3bp1ujEfOXKE77//npCQEObOncvatWsZMGBAuseMGzeO5cuXM378eC5cuEBwcDCrV69mzJgxAHh5eVGyZEm6dOnC2bNnOXToEKNHj043zf79+xMVFUX79u05efIkoaGhrFixQhm2383Njb///pvLly/z4MEDEhIS9NLo27cvN2/e5Ouvv+bSpUv8+eef+Pj4MGTIkFwdOVaIHPNyT5kUf3jD5W2vPj4pEdZ1g8gbyV1uP10A8r8jRKYZ5H/N3LlzcXNzw9zcnOrVq3P8+PE09/3ll1+oU6cOefPmJW/evHh5eaW7vxBCiNyxf/9+KleurPMzfvx4zM3N2bt3L507d2bUqFEUL16cpk2bYmRkxLFjx6hRo8Yr0x48eDALFy7k5s2betvKli2LpaUl33zzDR4eHtSoUYM1a9awcOFCvvoq/Wl6vvnmG06ePEnlypWZOHEiM2fOfOX0LU2aNGHz5s3s3LmTDz/8kBo1avDDDz9QpEgRANRqNRs2bOD58+dUq1aNHj166Dwvmpp8+fKxd+9eoqOj8fT0pGrVqixcuFBpDe3ZsyelSpXigw8+wNHRkSNHjuilUbBgQbZu3crx48epVKkSffr0oXv37krFWIj3QpXOMOgcdNkM/Y4n9xRJiIHVHeDEwvSP3fsdXN2f/Hx8+5VvPo2LEO8pg+uC+/vvvzNkyBDmz59P9erV8ff3p0mTJly+fJn8+fUn9d2/fz9ffvkltWrVwtzcnKlTp9K4cWMuXLhAwYKG8a2/EEK865YuXfrK7entY2lpycSJE5k4cWK66fj6+iqj0r6offv2tG/fXlkODw9X/i5atCgLFixIN9202NjYsGbNGp11Lw6YlNbgSU2aNEm3olqyZEkOHTqUZrpubm56aVesWJEdO3bo7J8yCrCjoyM7d+7UO8/LaXh6eqb7Je3+/fv11m3cuDHN/YV4K704qnqH32HzYDizArZ8A09uQENf/ZbNCxvgyKzkv1vPhQJlczRkId4lBtcCOnPmTHr27Im3tzdly5Zl/vz5WFpasnjx4lT3/+233+jbty8eHh6ULl2ahQsXotFo2LNnTw5HLoQQQggh3ipGJsmj2Nb/tyfAkVmwvgckxv23z72LsLFf8t+1BkD5T3M+TiHeIQbVAhofH8+pU6cYOfK/B7rVajVeXl4EBASkc+R/YmJiSEhIwN7ePs194uLiiIv774UlKioq1fXZISkpiYSEBOLi4nJtsllDiEHi0JVS7rK7/L2KIeSFocSRWzHEx8ej1WrRaDRoNBq0Wq2ynBMT26clpSUtJZbcjCMn8yO16zWkeyJx/BdDyu/3qXymvEbEx8frnO99fg197ThqDECdpwDGWwejOr8OTeRtEhpPRRV5HeNdo1AnPEPjVoeEOiPgNd6r5X3esGKQOHRlRfnMzLEqbWYmX8tmt2/fpmDBghw9elRnTrRhw4Zx4MABAgMDX5lG37592bFjBxcuXEhzuHtfX99Uh+wfMWLEaw+RL4QQWSFPnjzUrl2bggULYmxsUN8RCiEMTGJiIrdu3eLIkSOvHNFZZIy79gZfsAlz4tECKdX6GMz5EW+eq3JuSiQh3iaxsbH4+fkRGRmJjY1Nuvu+UxVQPz8/vv/+e/bv3683kfaLUmsBdXV1JSIi4pUZ9qaSkpK4fPkypUqVytVvnnI7BolDV1xcHD/88AODBw/GzMwsV2IAw8gLQ4kjt2KIi4vjn3/+UQZi02q1xMXFYWZmluutXPfu3aNAgQK5Hkdu54chxCBx6MfwPpbP2NhYwsPDKVSokM57x/v8GpoVcaiu7cdk9Re8eAe1KjXxfU+DTcamenqZvM8bVgwSh66sKJ9RUVHkz58/QxVQg/p63cHBASMjI+7du6ez/t69ezg5OaV77PTp0/Hz82P37t3pVj4BzMzMUs3ctNZnpaSkJExMTDAzM8vVf/zcjkHiSF1OlMH0GEpeGEIcuRVDyhyNKpUKtVqtLKvV6lz9YJ3SrTElltxiCPlhCDFIHLre1/KZ8lphamqqVwF9X19DsyQOM/1WTpVWg1n0P+Do/kbxyPu8YcQgcaTuTcpnZo4zqEGITE1NqVq1qs4AQikDCr3YIvqy77//ngkTJrB9+3Y++OCDnAhVCCGyRcq0GjExMbkciRDC0KW8TqS8bogsYl8MVC99RFYZgX3R3IlHiHeMQbWAAgwZMoQuXbrwwQcfUK1aNfz9/Xn27Bne3t4AdO7cmYIFCzJlyhQApk6dyrhx41i5ciVubm7cvXsXACsrK6ysrHLtOoQQ4nUYGRlhZ2dHREQEABYWFsTHxwPkegtoYmIisbGxud7ClPIIRW53wc3NGCQOXe9b+dRqtcTExBAREYGdnV2ut5q8c2wLQstZ8Ncg0CYlVz5b+v83dYsQ4o0YXAW0Xbt23L9/n3HjxnH37l08PDzYvn07BQoUAODGjRs6by4//fQT8fHxfPbZZzrp+Pj44Ovrm5OhCyFElkh55CAiIgKtVktCQgImJia5XsmIjIwkOjo61+PI7fwwhBgkDv0Y3sfyaWdn98pHlMRrqtIZijWER1eTWz6l8ilEljG4CihA//796d+/f6rbXp4k+8XJxoUQ4l2gUqlwdnYmf/78xMbGEhYWRpEiRXK1lSM+Pp6tW7fSq1cvTE1Ncy2OpKSkXM8PQ4hB4tD1PpZPExMTafnMbrYFpeIpRDYwyAqoEEKI5O645ubmqNVqzM3Nc/XDpkql4tmzZwYxgEZu54chxCBx6JLyKYQQbw+DGoRICCGEEEIIIcS7SyqgQgghhBBCCCFyhHTBfUFSUhJJSUnZfo4Xf+cGQ4hB4tCPwdjYOEfK4KviePH3+xyHIcRgaHFIGTWcGCQO/RikfBpWHIYQg6HFIWXUcGKQOPRjeNPymZnjVFqtVvtaZ3kHzJ07l7lz55KYmEhoaCi7d+8mT548uR2WEEIIIYQQQrw1nj17hpeXF0+ePMHW1jbdfd/rCmiKf/75B1dX19wOQwghhBBCCCHeWjdv3qRQoULp7iMVUJInsL59+zbW1tY5Mm/Xhx9+yIkTJ7L9PIYeg8Txn6ioKFxdXbl58yY2Nja5Fgfkfl4YUhyGEIOhxCFl1PBikDj+I+XTMOMwhBgMJQ4po4YXg8Txn6won1qtlqdPn+Li4oJanf4wQ/IMKKBWq19ZU89KRkZGuf7iYwgxSBz6bGxscj0OQ8kLQ4jDEGIwpDhAyqghxSBx6JPyaVhxGEIMhhQHSBk1pBgkDn1vWj5f1fU2hYyCmwv69euX2yEYRAwgcRgiQ8kLQ4jDEGIAw4nDUBhCfhhCDCBxGCJDyQtDiMMQYgDDicNQGEJ+GEIMIHHkFumCK4QBiIqKwtbWlsjISIP4BkyIl0kZFYZMyqcwdFJGhSHL6fIpLaBCGAAzMzN8fHwwMzPL7VCESJWUUWHIpHwKQydlVBiynC6f0gIqhBBCCCGEECJHSAuoEEIIIYQQQogcIRVQIYQQQgghhBA5QiqgQgghhBBCCCFyhFRAhRBCCCGEEELkCKmACiGEEEIIIYTIEVIBFUIIIYQQQgiRI6QCKoQQQgghhBAiR0gFVAghhBBCCCFEjpAKqBBCCCGEEEKIHCEVUCGEEEIIIYQQOUIqoEIIIYQQQgghcoRUQIUQQgghhBBC5AipgAohhBBCCCGEyBFSARVCCPFW2L9/PyqVij/++CO3Q8mQe/fu8dlnn5EvXz5UKhX+/v45ct6lS5eiUqkIDw/PkfO9a3x9fVGpVLkdhhBCvLOkAiqEEEKRUnkxNzfn1q1betvr1atH+fLlcyGyt8/gwYPZsWMHI0eOZMWKFTRt2jTNfVUqlfKjVqtxcXGhcePG7N+/P+cCBi5evIivr+87V3l1c3PTyWNzc3NKlCjBt99+y6NHj3I7PCGEeK9IBVQIIYSeuLg4/Pz8cjuMt9revXtp3bo1Q4cOpVOnTpQuXTrd/Rs1asSKFStYtmwZffr04e+//6ZBgwZs27YtU+f96quveP78OUWKFMl0zBcvXmT8+PHvXAUUwMPDgxUrVrBixQp+/PFHvLy88Pf31/tiYMyYMTx//jyXohRCiHefcW4HIIQQwvB4eHjwyy+/MHLkSFxcXHI7nBz17Nkz8uTJ88bpREREYGdnl+H9S5YsSadOnZTlTz75hIoVK+Lv70+zZs0ynI6RkRFGRkaZCfWtl5iYiEajwdTUNM19ChYsqJO/PXr0wMrKiunTpxMaGkqJEiUAMDY2xthYPh4JIUR2kRZQIYQQekaNGkVSUtIrW0HDw8NRqVQsXbpUb5tKpcLX11dZTnm2LiQkhE6dOmFra4ujoyNjx45Fq9Vy8+ZNWrdujY2NDU5OTsyYMSPVcyYlJTFq1CicnJzIkycPrVq14ubNm3r7BQYG0rRpU2xtbbG0tMTT05MjR47o7JMS08WLF+nQoQN58+blo48+Svear169yueff469vT2WlpbUqFGDLVu2KNtTujFrtVrmzp2rdPvMrAoVKuDg4MC1a9eUdXv37qVOnTrkyZMHOzs7WrduTXBwsM5xqT0D6ubmRosWLTh8+DDVqlXD3NycokWLsnz5cp3jPv/8cwDq16+vxJ3SDfjkyZM0adIEBwcHLCwscHd3p1u3bq+8jpRz79y5Ew8PD8zNzSlbtizr16/X2/fJkycMGjQIV1dXzMzMKF68OFOnTkWj0Sj7pJS56dOn4+/vT7FixTAzM+PixYsZytcXOTk5AehUOFN7BlSlUtG/f382btxI+fLlMTMzo1y5cmzfvj3T5xRCiPedVECFEELocXd3p3Pnzvzyyy/cvn07S9Nu164dGo0GPz8/qlevzsSJE/H396dRo0YULFiQqVOnUrx4cYYOHcrBgwf1jp80aRJbtmxh+PDhDBgwgF27duHl5aXTbXLv3r3UrVuXqKgofHx8mDx5Mk+ePKFBgwYcP35cL83PP/+cmJgYJk+eTM+ePdOM/d69e9SqVYsdO3bQt29fJk2aRGxsLK1atWLDhg0A1K1blxUrVgD/datNWc6Mx48f8/jxY/LlywfA7t27adKkCREREfj6+jJkyBCOHj1K7dq1M9Rl9sqVK3z22Wc0atSIGTNmkDdvXrp27cqFCxeUuAcMGAAkfwGREneZMmWIiIigcePGhIeHM2LECObMmUPHjh05duxYhq4lNDSUdu3a0axZM6ZMmYKxsTGff/45u3btUvaJiYnB09OTX3/9lc6dOzN79mxq167NyJEjGTJkiF6aS5YsYc6cOfTq1YsZM2Zgb2+fbgwJCQk8ePCABw8e8M8///DXX38xc+ZM6tati7u7+yuv4fDhw/Tt25f27dvz/fffExsbS9u2bXn48GGG8kAIIcS/tEIIIcS/lixZogW0J06c0IaFhWmNjY21AwYMULZ7enpqy5Urpyxfu3ZNC2iXLFmilxag9fHxUZZ9fHy0gLZXr17KusTERG2hQoW0KpVK6+fnp6x//Pix1sLCQtulSxdl3b59+7SAtmDBgtqoqChl/Zo1a7SAdtasWVqtVqvVaDTaEiVKaJs0aaLVaDTKfjExMVp3d3dto0aN9GL68ssvM5Q/gwYN0gLaQ4cOKeuePn2qdXd317q5uWmTkpJ0rr9fv34ZShfQdu/eXXv//n1tRESENjAwUNuwYUMtoJ0xY4ZWq9VqPTw8tPnz59c+fPhQOe7s2bNatVqt7dy5s7Iu5R5eu3ZNWVekSBEtoD148KCyLiIiQmtmZqb95ptvlHVr167VAtp9+/bpxLdhwwalXGRWyrnXrVunrIuMjNQ6OztrK1eurKybMGGCNk+ePNqQkBCd40eMGKE1MjLS3rhxQ6vV/lfmbGxstBEREZmK4eWf2rVrax88eKCzb0qZeBGgNTU11V65ckVZd/bsWS2gnTNnTsYyQgghhFar1WqlBVQIIUSqihYtyldffcWCBQu4c+dOlqXbo0cP5W8jIyM++OADtFot3bt3V9bb2dlRqlQprl69qnd8586dsba2VpY/++wznJ2d2bp1KwBBQUGEhobSoUMHHj58qLR6PXv2jIYNG3Lw4EGdLp0Affr0yVDsW7dupVq1ajrddK2srOjVqxfh4eGv1Q00xaJFi3B0dCR//vxUr16dI0eOMGTIEAYNGsSdO3cICgqia9euOi19FStWpFGjRsq1p6ds2bLUqVNHWXZ0dEwzj1+W8izr5s2bSUhIyPS1ubi48MknnyjLNjY2dO7cmTNnznD37l0A1q5dS506dcibN69yzx48eICXlxdJSUl6reFt27bF0dExwzFUr16dXbt2sWvXLjZv3sykSZO4cOECrVq1ytCgQ15eXhQrVkxZrlixIjY2NhnKPyGEEP+Rp+yFEEKkacyYMaxYsQI/Pz9mzZqVJWkWLlxYZ9nW1hZzc3McHBz01qfWvTFlsJgUKpWK4sWLK91QQ0NDAejSpUuaMURGRpI3b15lOSNdMAGuX79O9erV9daXKVNG2f6609S0bt2a/v37o1KpsLa2ply5cspgSNevXwegVKlSqZ57x44drxw86eV8B8ibNy+PHz9+ZWyenp60bduW8ePH88MPP1CvXj3atGlDhw4dMDMze+XxxYsX13uusmTJkkDyM51OTk6Ehoby999/p1mpjIiI0FnO6D1L4eDggJeXl7L88ccfU6pUKT777DMWLlzI119/ne7xb5J/Qggh/iMVUCGEEGkqWrQonTp1YsGCBYwYMUJve1qD6yQlJaWZZmojtKY1aqtWq81gpP9Jad2cNm0aHh4eqe5jZWWls2xhYZHp82S1QoUK6VSQstqb5LFKpeKPP/7g2LFj/PXXX+zYsYNu3boxY8YMjh07ppefr0Oj0dCoUSOGDRuW6vaUCmuKrLhnDRs2BODgwYOvrIBmZRkVQoj3mVRAhRBCpGvMmDH8+uuvTJ06VW9bSivikydPdNantNhlh5QWzhRarZYrV65QsWJFAKWbpI2NTZZX6IoUKcLly5f11l+6dEnZnh1S0k3r3A4ODlkydcyrRuutUaMGNWrUYNKkSaxcuZKOHTuyevVqnW7Vqbly5QparVYn/ZCQECB5lFxIvm/R0dHZWgl/WWJiIgDR0dE5dk4hhHjfyTOgQggh0lWsWDE6derEzz//rDyvl8LGxgYHBwe95/PmzZuXbfEsX76cp0+fKst//PEHd+7cUebKrFq1KsWKFWP69OmpVizu37//2udu3rw5x48fJyAgQFn37NkzFixYgJubG2XLln3ttNPj7OyMh4cHy5Yt06nsnz9/np07d9K8efMsOU9KJfblLxQeP36s19KX0rocFxf3ynRv376tjBIMEBUVxfLly/Hw8FCmQvniiy8ICAhgx44desc/efJEqSxmpb/++guASpUqZXnaQgghUictoEIIIV5p9OjRrFixgsuXL1OuXDmdbT169MDPz48ePXrwwQcfcPDgQaV1KzvY29vz0Ucf4e3tzb179/D396d48eLK9ClqtZqFCxfSrFkzypUrh7e3NwULFuTWrVvs27cPGxsbpeKRWSNGjGDVqlU0a9aMAQMGYG9vz7Jly7h27Rrr1q1Drc6+73WnTZtGs2bNqFmzJt27d+f58+fMmTMHW1tbnflW34SHhwdGRkZMnTqVyMhIzMzMaNCgAStXrmTevHl88sknFCtWjKdPn/LLL79gY2OTocpvyZIl6d69OydOnKBAgQIsXryYe/fusWTJEmWfb7/9lk2bNtGiRQu6du1K1apVefbsGefOneOPP/4gPDxc7znhzLh16xa//vorAPHx8Zw9e5aff/4ZBweHV3a/FUIIkXWkAiqEEOKVihcvTqdOnVi2bJnetnHjxnH//n3++OMP1qxZQ7Nmzdi2bRv58+fPllhGjRrF33//zZQpU3j69CkNGzZk3rx5WFpaKvvUq1ePgIAAJkyYwI8//kh0dDROTk5Ur16d3r17v/a5CxQowNGjRxk+fDhz5swhNjaWihUr8tdff/Hxxx9nxeWlycvLi+3bt+Pj48O4ceMwMTHB09OTqVOnZnpAnrQ4OTkxf/58pkyZQvfu3UlKSmLfvn14enpy/PhxVq9ezb1797C1taVatWr89ttvGTp3iRIlmDNnDt9++y2XL1/G3d2d33//nSZNmij7WFpacuDAASZPnszatWtZvnw5NjY2lCxZkvHjx2Nra/tG1xYUFMRXX30FJH9J4eDgwKeffsqECRMoWLDgG6UthBAi41RaeXpeCCGEENnEzc2N8uXLs3nz5twORQghhAGQZ0CFEEIIIYQQQuQIqYAKIYQQQgghhMgRUgEVQgghhBBCCJEj5BlQIYQQQgghhBA5QlpAhRBCCCGEEELkCKmACiGEEEIIIYTIETIPKKDRaLh9+zbW1taoVKrcDkcIIYQQQggh3hparZanT5/i4uKCWp1+G6dUQIHbt2/j6uqa22EIIYQQQgghxFvr5s2bFCpUKN19pAIKWFtbA8kZZmNjk8vRiPdRQkICO3fupHHjxpiYmOR2OELokTIqDJmUT2HopIwKQ5YV5TMqKgpXV1elXpWeXK2AHjx4kGnTpnHq1Cnu3LnDhg0baNOmDZCcEWPGjGHr1q1cvXoVW1tbvLy88PPzw8XFRUnj0aNHfP311/z111+o1Wratm3LrFmzsLKyynAcKd1ubWxspAIqckVCQgKWlpbY2NjIG5MwSFJGhSGT8ikMnZRRYciysnxm5HHGXB2E6NmzZ1SqVIm5c+fqbYuJieH06dOMHTuW06dPs379ei5fvkyrVq109uvYsSMXLlxg165dbN68mYMHD9KrV6+cugQhhBBCCCGEEBmUqy2gzZo1o1mzZqlus7W1ZdeuXTrrfvzxR6pVq8aNGzcoXLgwwcHBbN++nRMnTvDBBx8AMGfOHJo3b8706dN1WkqFEEIIIYQQQuSut+oZ0MjISFQqFXZ2dgAEBARgZ2enVD4BvLy8UKvVBAYG8sknn6SaTlxcHHFxccpyVFQUkNz8nJCQkH0XIEQaUsqdlD9hqKSMCkMm5VMYOimjwpBlRfnMzLFvTQU0NjaW4cOH8+WXXyrPad69e5f8+fPr7GdsbIy9vT13795NM60pU6Ywfvx4vfU7d+7E0tIyawMXIhNebvUXwtBIGRWGTMrnm1Gr1a+cPkG8PmNjY/bt25fbYQiRqleVT41Gg0ajSXN7TExMxs+VqchySUJCAl988QVarZaffvrpjdMbOXIkQ4YMUZZTRm1q3LixDEIkckVCQgK7du2iUaNGMjiBMEhSRoUhk/L5ZhISErh37x7Pnz/P7VDeWVqtltjYWMzNzWXOeWFwMlo+LSwsKFCgQKqvsyk9SjPC4CugKZXP69evs3fvXp0KopOTExERETr7JyYm8ujRI5ycnNJM08zMDDMzM731JiYm8sYlcpWUQWHopIwKQyblM/M0Gg1Xr17FyMiIggULYmpqKhWkbKDRaIiOjsbKykpamYXBeVX51Gq1xMfHc//+fW7evEmJEiX09svMa69BV0BTKp+hoaHs27ePfPny6WyvWbMmT5484dSpU1StWhWAvXv3otFoqF69em6ELIQQQgjx1oiPj0ej0eDq6iqPIWUjjUZDfHw85ubmUgEVBicj5dPCwgITExOuX7+u7Pu6crUCGh0dzZUrV5Tla9euERQUhL29Pc7Oznz22WecPn2azZs3k5SUpDzXaW9vj6mpKWXKlKFp06b07NmT+fPnk5CQQP/+/Wnfvr2MgCuEEEIIkUFZXim6fSbtbS6Vs/ZcQogckVWvE7laAT158iT169dXllOey+zSpQu+vr5s2rQJAA8PD53j9u3bR7169QD47bff6N+/Pw0bNkStVtO2bVtmz56dI/ELIYQQQgghhMi4XK2A1qtXD61Wm+b29LalsLe3Z+XKlVkZlhBCCCGEEEKIbCCd0IUQQgghhHjL1KtXj0GDBmXqGF9fX72ehTmtbt260niURfbv349KpeLJkycAbN++HQ8Pj3SnSzEEBj0IkRBCCCGEyB0HDhzInoRD9dP19PTMdDJdu3Zl2bJl9O7dm/nz5+ts69evH/PmzaNLly4sXbr0dSMVgEqlYsOGDbRp0+aN09q0aRP37t2jffv2bx7YW2r//v3Ur1+fx48fY2dnl6VpN23alLFjx/Lbb7/x1VdfZWnaWUlaQIUQQgghxFvJ1dWV1atX68xhGhsby8qVKylcuHAuRpYx8fHxuR1Cjpo9ezbe3t4GPxJwUlJSqq2Ib8P96tq1q8GPh2PYd18IIYQQQog0VKlSBVdXV9avX6+sW79+PYULF6ZyZd3RdjUaDVOmTMHd3R0LCwsqVarEH3/8oWxPSkqie/fuyvZSpUoxa9YsnTT2799PtWrVyJMnD3Z2dtSuXZvr168DyR/8X24lHDRokDJwJkCDBg3o378/gwYNwsHBgSZNmgBw/vx5mjVrhpWVFQUKFOCrr77iwYMHynHPnj2jc+fOWFlZ4ezszIwZMzKUP35+fhQoUABra2u6d+9ObGyszvYTJ07QqFEjHBwcsLW1xdPTk9OnTyvb3dzcAPjkk09QqVTKclhYGK1bt6ZAgQJYWVnx4Ycfsnv37nRjuX//Pnv37qVly5bKuvDwcFQqFUFBQcq6J0+eoFKp2L9/P/BfN9M9e/bwwQcfYGlpSa1atbh8+bJO+n/99Rcffvgh5ubmODg48MknnyjbHj9+TOfOncmbNy+WlpY0a9aM0NBQZfvSpUuxs7Nj06ZNlC1bFjMzM27cuIGbmxsTJkygc+fO2NjY0KtXLwAOHz5MnTp1sLCwwNXVlQEDBvDs2TMlvbi4OIYPH46rqytmZmYUL16cRYsWER4ergzAmjdvXlQqFV27dgVeXT4Btm7dSsmSJbGwsKB+/fqEh4fr5XPLli05efIkYWFh6d6P3CQVUCGEEEII8dbq1q0bS5YsUZYXL16Mt7e33n5Tpkxh+fLlzJ8/nwsXLjB48GA6deqkdDXWaDQUKlSItWvXcvHiRcaNG8eoUaNYs2YNAImJibRp0wZPT0/+/vtvAgIC6NWrFyqVKlPxLlu2DFNTU44cOcL8+fN58uQJDRo0oHLlypw8eZLt27dz7949vvjiC+WYb7/9lgMHDvDnn3+yc+dO9u/fr1NRTM2aNWvw9fVl8uTJnDx5EmdnZ+bNm6ezz9OnT+nSpQuHDx/m2LFjlChRgubNm/P06VMguYIKsGTJEu7cuaMsR0dH07x5c/bs2cOZM2do2rQpLVu25MaNG2nGc/jwYSwtLSlTpkym8ivF6NGjmTFjBidPnsTY2Jhu3bop27Zs2cInn3xC8+bNOXPmDHv27KFatWrK9q5du3Ly5Ek2bdpEQEAAWq2W5s2bk5CQoOwTExPD1KlTWbhwIRcuXCB//vwATJ8+nUqVKnHmzBnGjh1LWFgYTZs2pW3btvz999/8/vvvHD58mP79+ytpde7cmVWrVjF79myCg4P5+eefsbKywtXVlXXr1gFw+fJl7ty5o3zJ8aryefPmTT799FNatmxJUFAQPXr0YMSIEXr5VLhwYQoUKMChQ4deK59zgjwDKoRI5mubzrbInItDCCGEyIROnToxcuRIpSXyyJEjrF69WmlBg+QWqcmTJ7N7925q1qwJQNGiRTl8+DA///wznp6emJiYMH78eOUYd3d3AgICWLNmDV988QVRUVFERkbSokULihUrBvBalakSJUrw/fffK8sTJ06kcuXKTJ48WVm3ePFiXF1dCQkJwcXFhUWLFvHrr7/SsGFDILkSW6hQoXTP4+/vT/fu3enevbtynt27d+u0gjZo0EDnmAULFmBnZ8eBAwdo0aIFjo6OANjZ2eHk5KTsV6lSJSpVqqQsT5gwgQ0bNrBp0yaditiLrl+/ToECBV67++2kSZOUZ4VHjBjBxx9/TGxsLObm5kyaNIn27dvr3L+U+EJDQ9m0aRNHjhyhVq1aQPI0jq6urmzcuJHPP/8cgISEBObNm6dzXSl59M033yjLPXr0oGPHjsoAUCVKlGD27Nl4enry008/cePGDdasWcOuXbvw8vICkstaCnt7ewDy58+vPAOakfL5008/UaxYMaX1u1SpUpw7d46pU6fq5ZWLi4vy/2CIpAIqhBBCCCHeWo6Ojnz88ccsXboUrVbLxx9/jIODg84+V65cISYmhkaNGumsj4+P1+mqO3fuXBYvXsyNGzd4/vw58fHxyqix9vb2dO3alSZNmtCoUSO8vLz44osvcHZ2zlS8VatW1Vk+e/Ys+/btw8rKSm/fsLAwJY7q1asr6+3t7SlVqlS65wkODqZPnz4662rWrMm+ffuU5Xv37jFmzBj2799PREQESUlJxMTEpNuSCcktoL6+vmzZsoU7d+6QmJjI8+fP0z3u+fPnmJubp5tueipWrKj8nZLnERERFC5cmKCgIHr27JnqccHBwRgbG+vkX758+ShVqhTBwcHKOlNTU51zpPjggw90ls+ePcvff//Nb7/9pqzTarVoNBquXbvGuXPnMDIyytTAWhkpn8HBwTrXACiV1ZdZWFgQExOT4fPnNKmACiHEq0jrsBBCGLRu3bopLW9z587V2x4dHQ0kd9UsWLCgzjYzMzMAVq9ezdChQ5kxYwY1a9bE2tqaadOmERgYqOy7ZMkSBgwYwPbt2/n9998ZM2YMu3btokaNGqjVar057F/s4pkiT548erG1bNky1ZYsZ2dnrly5kpEseC1dunTh4cOHzJo1iyJFimBmZkbNmjVfOdjO0KFD2bVrF9OnT6d48eJYWFjw2WefpXucg4MDjx8/1lmX0hr6Yr6llmcAJiYmyt8p3Z5TBgqysLBIN96MsLCwSLU7dWr3q3fv3gwYMEBv38KFC7/W/cpI+cyMR48eKa3XhkgqoEIIIYQQ4q3WtGlT4uPjUalUysA+L3pxYJm0WqZSumj27dtXWZfaQC6VK1emcuXKjBw5kpo1a7Jy5Upq1KiBo6Mj58+f19k3KChIp+KUmipVqrBu3Trc3NwwNtb/aF6sWDFMTEwIDAxURvZ9/PgxISEh6baylSlThsDAQDp37qysO3bsmN41z5s3j+bNmwPJzxm+OPgRJFf8kpKS9I7r2rWrMtBPdHR0qgPivKhy5crcvXuXx48fkzdvXgClknTnzh2lpe/FAYkyqmLFiuzZsyfVZ3/LlClDYmIigYGBShfchw8fcvnyZcqWLZvpc1WpUoWLFy9SvHjxVLdXqFABjUbDgQMHlC64LzI1NQXQydOMlM8yZcqwadMmnXUv309IHgU6LCxMbxAuQyKDEAkhhBCZ4Wub9o8QIlcYGRkRHBzMxYsXMTIy0ttubW3N0KFDGTx4MMuWLSMsLIzTp08zZ84cli1bBiQ/y3fy5El27NhBSEgIY8eOVQbdAbh27RojR44kICCA69evs3PnTkJDQ5XnQBs0aMDJkydZvnw5oaGh+Pj46FVIU9OvXz8ePXrEl19+yYkTJwgLC2PHjh14e3uTlJSElZUV3bt359tvv2Xv3r2cP3+erl27vvJZyoEDB7J48WKWLFlCSEgIPj4+XLhwQWefEiVKsGLFCoKDgwkMDKRjx456rYlubm7s2bNHqTymHLd+/XqCgoI4e/YsHTp0SHXakhdVrlwZBwcHjhw5oqyzsLCgRo0a+Pn5ERwczIEDBxgzZswr8+xlPj4+rFq1Ch8fH4KDg3WejSxRogStW7emZ8+eHD58mLNnz9KpUycKFixI69atM32u4cOHc/ToUfr3709QUBChoaH8+eefSgu8m5sbXbp0oVu3bmzcuJFr166xf/9+ZTCrIkWKoFKp2Lx5M/fv3yc6OjpD5bNPnz6Ehoby7bffcvnyZVauXJnqHLfHjh1TWrINlbSACiGEEEIIPZl5hk3P7TNpb3PJnpYZGxubdLdPmDABR0dHpkyZwtWrV7Gzs6NKlSqMGjUKgN69e3PmzBnatWuHSqXiyy+/pG/fvmzbtg0AS0tLLl26xLJly3j48CHOzs7069eP3r17A9CkSRPGjh3LsGHDiI2NpVu3bnTu3Jlz586lG5eLiwtHjhxh+PDhNG7cmLi4OIoUKULTpk2VSua0adOUrrrW1tZ88803REam/whIu3btCAsLU+Jp27Yt//vf/9ixY4eyz6JFi+jVq5cync3kyZMZOnSoTjozZsxgyJAh/PLLLxQsWJDw8HBmzpxJt27dqFWrFg4ODgwfPpyoqKh04zEyMsLb25vffvuNFi1aKOsXL15M9+7dqVq1KqVKleL777+ncePG6ab1snr16rF27VomTJiAn58fNjY21K1bV9m+ZMkSBg4cSIsWLYiPj6du3bps3br1la3TqalYsSIHDhxg9OjR1KlTB61WS7FixWjXrp2yz08//cSoUaPo27cvDx8+pHDhwko5K1iwIOPHj2fEiBF4e3vTuXNnli5d+sryWbhwYdatW8fgwYOZM2cO1apVY/LkyTqjAQOsWrWKjh07Ymlpmelryykq7cud1d9DUVFR2NraEhkZ+coXLyGyQ0JCAlu3bqV58+av9WKYJeQ5x7RJ3hhGGTUUUh4MjpTP1xcbG8u1a9dwd3d/owFi9ORCBdSQaTQaoqKisLGxee1RYN8Fd+/epVy5cpw+fZoiRYrkdjjvnAcPHlCqVClOnjyJu7t7ho/LaPlM7/UiM/UpaQEVQgih7+VKltocKi2AKYVg3L3ciUkIId4F73Hl3MnJiUWLFnHjxg2pgGaD8PBw5s2bl6nKZ26QCqgQQgghhBAiR7Rp0ya3Q3hnffDBB3rTxhii97cPgBBCCCGEEEKIHCUtoEIIIYQQr0OeBxZCiEyTFlAhhBBCCCGEEDlCWkCFEEIIIbKTtJQKIYRCWkCFEEIIIYQQQuQIqYAKIYQQQgghhMgR0gVXCCGEEDknve6oIF1ShRDiHScVUCGEEEIIocdtxJZsSvm23ppwv4+z6Vzvrnr16uHh4YG/v3+Gj/H19WXjxo0EBQVlW1yvUrduXfr06UOHDh0AUKlUbNiwIc35QcPDw3F3d+fMmTN4eHjkXKDvATc3NwYNGsSAAQOIj4+naNGi/PHHH9k+l6h0wRVCCCGEEG+drl27olKp6NOnj962fv36oVKp6Nq1a84H9o5RqVRs3LgxS9LatGkT9+7do3379hk+xtXVlTt37lC+fPksieFt5+bmlqkvHTLK1NSUb775huHDh2d52i/L1QrowYMHadmyJS4uLqkWbq1Wy7hx43B2dsbCwgIvLy9CQ0N19nn06BEdO3bExsYGOzs7unfvTnR0dA5ehRBCCCGEyA2urq6sXr2a58+fK+tiY2NZuXIlhQsXzsXIMiY+PiG3Q8hRs2fPxtvbG7U641UQIyMjnJycMDZ+ezpuJiTo39f4+PhciCRzOnTowOHDh7lw4UK2nidXK6DPnj2jUqVKzJ07N9Xt33//PbNnz2b+/PkEBgaSJ08emjRpQmxsrLJPx44duXDhArt27WLz5s0cPHiQXr165dQlCPF+8rVN+0cIIYTIIVWqVMHV1ZX169cr69avX0/hwoWpXLmyzr4ajYYpU6bg7u6OhYUFlSpV4o8//lC2JyUl0b17d2V7qVKlmDVrlk4a+/fvp1q1auTJkwc7Oztq167N9evXgeQW2Ze7kQ4aNIh69eopyw0aNKD/aD8GjZuGQ/kGNOnQD4Dzl67QrFN/rKysKFCgAF999RUPHjxQjnv27BmdO3fGysoKZ2dnZsyYkaH88fPzo0CBAlhbW9O9e3edz9AAJ06coFGjRjg4OGBra4unpyenT59Wtru5uQHwySefoFKplOWwsDBat25NgQIFsLKy4sMPP2T37t2pB3H7DNw+w/1ze9m7dy8tqxdX1qW4c+cOzZo1w8LCQukGmiI8PByVSqV0G37T+5Saf/75hy+//BJ7e3vy5MnDBx98QGBgoLL9p59+olixYpiamlKqVClWrFihc7xKpeKnn36iVatW5MmTh0mTJuHr64uHhwcLFy7E3d0dc3NzAJ48eUKPHj1wdHTExsaGBg0acPbsWZ30/vrrLz788EPMzc1xcHDgk08+AZK7XV+/fp3BgwejUqlQqVTKMYcPH6ZOnTpYWFjg6urKgAEDePbsmbI9IiKCli1bYmFhgbu7O7/99ptePuTNm5fatWuzevXqNPMqK+RqBbRZs2ZMnDhRydQXabVa/P39GTNmDK1bt6ZixYosX76c27dvKy2lwcHBbN++nYULF1K9enU++ugj5syZw+rVq7l9W//5AiGEEEII8W7p1q0bS5YsUZYXL16Mt7e33n5Tpkxh+fLlzJ8/nwsXLjB48GA6derEgQMHgOQKaqFChVi7di0XL15k3LhxjBo1ijVr1gCQmJhImzZt8PT05O+//yYgIIBevXrpVAIyYtnazZiamnBk42Lm+43iSeRTGnzRm8rlSnHy5Em2b9/OvXv3+OKLL5Rjvv32Ww4cOMCff/7Jzp072b9/v05FMTVr1qzB19eXyZMnc/LkSZydnZk3b57OPk+fPqVLly4cPnyYY8eOUaJECZo3b87Tp0+B5AoqwJIlS7hz546yHB0dTfPmzdmzZw9nzpyhadOmtGzZkhs3bqQZz+HjZ7C0MKdMCXe9bWPHjqVt27acPXuWjh070r59e4KDg1NNJ6vvU3R0NJ6enty6dYtNmzZx9uxZhg0bhkajAWDDhg0MHDiQb775hvPnz9O7d2+8vb3Zt2+fTjq+vr588sknnDt3jm7dugFw5coV1q1bx/r165UK9Oeff05ERATbtm3j1KlTVKlShYYNG/Lo0SMAtmzZwieffELz5s05c+YMe/bsoVq1akDylyuFChXiu+++486dO9y5cwdI/kKgadOmtG3blr///pvff/+dw4cP079/fyW+rl27cvPmTfbt28cff/zBvHnziIiI0MuPatWqcejQodRvYhYx2Lbsa9eucffuXby8vJR1tra2VK9enYCAANq3b09AQAB2dnY6D8p6eXmhVqsJDAxMtWILEBcXR1xcnLIcFRUFJDeXp9ZkLkR2Syl3uVr+1OZpb3s5rszs+y54364X9K454d/lBLX5u3vNGfU+loeslF7+wWvlYa69hma0LBhwmUlISECr1aLRaJQP3Lnhdc6t1WrRarV06NCBkSNHcu3aNQCOHDnCypUr2bdvn3JtcXFxTJ48mZ07d1KzZk0guXXv0KFDzJ8/nzp16mBkZISPj4+SfpEiRTh69Ci///47n332GU+ePCEyMpLmzZvj7p5ciSpVqpQSf0o8L16LVqvV+13CvTB+YwYr+0zy/wWP8qWZOHIAOJUEYOHChRQpUoRLly7h4uLCokWLWL58OfXr1weSK4SFCxfWO9+L/P396datm1IZ/+6779i9ezexsbHKMS+2zgLMnz8fe3t79u3bR4sWLciXLx8ANjY25M+fX7nWChUqUKFCBeW48ePHs2HDBv7880/69ev3UiTJFb/wf+5SwDEfqI1QIv43js8++0yptI0fP55du3Yxe/Zs5s6dq8SaUkbf9D697Ndff+X+/fsEBgZib28PQNGiRZX9p0+fTpcuXZRnjQcNGkRAQADTpk3D09NTSefLL7+kS5cuyrJWqyU+Pp6lS5fi6OgIJD9+ePz4ce7evYuZmRmQ3ONz48aNrFmzhl69ejFp0iTatWunc40VKlRAo9FgZ2eHkZERVlZWOvdj8uTJdOjQgQEDBgBQrFgx/P39qV+/PnPnzuXGjRts27aNY8eO8eGHHwLwyy+/UK5cOaXcpsTs7OzM9evXU82rlHKekJCAkZGRzrbMvP4abAX07t27ABQoUEBnfYECBZRtd+/eVTI/hbGxMfb29so+qZkyZQrjx4/XW79z504sLS3fNHQhXtuuXbty7+SVFqS9bevW19/3XfC+XS+kec27Ksx+d685o97H8pCV0ss/eKM8zPHX0IyWBQMuM8bGxjg5OREdHZ2rz6ilNAZkRkJCAomJiZiZmdG4cWMWLFiAVqulcePGmJqakpiYSEJCAlFRUQQHBxMTE0OTJk100oiPj6dixYrK+X/55Rd+++03/vnnH2JjY4mPj6dChQpERUVhbGxMhw4daNasGfXq1aNevXq0adMGJycnnXhevJb4+HgSExOVFsWkpCQqVKlGlKWbss+pkFvsP3oSm5If6V3juXPnuH//PvHx8ZQtW1ZJ29jYmOLFixMfH59m3l28eJHOnTvrbK9SpQqHDh1S1kVERDBp0iQOHz7M/fv30Wg0xMTEEBISonPc8+fPdZajo6OZOnUqO3fu5O7duyQlJfH8+XNCQ0P14/n3Wh8nWWBqYaVz7fy7r4eHh16c586dIyoqShnb5dmzZ1lyn1524sQJKlSogLGxcap5efHiRTp16qSzrWrVqsyfP19n3Yv3B5IbvFxdXTEzM1PWBwYGEh0drVRIX8zf4OBgoqKiCAoKomPHjmneV41GQ2xsrM72M2fOcOHCBVauXKmsS/ly4ty5c4SFhWFsbEyJEiWU41xcXLC1tSU2NlYpnym/X8zrF8XHx/P8+XMOHjxIYmKizraYmJhU402NwVZAs9PIkSMZMmSIshwVFYWrqyuNGzfGxsYmFyMTOWJKobS3jfwn5+J4QUJCArt27aJRo0aYmJjkSgyZyhcDzMNs9b5dL+hdc4LanF0VZtPo3ABMhl/JpaAMxPtWHrL6etNL7zXTzLXX0IzmjQGXmdjYWG7evImVlZXyjFpueJ3PXyYmJhgbG2NjY0PPnj2V1p85c+ZgY2ODsbExJiYmOmn/9ddfFCxYUCcdMzMzbGxsWL16NePGjWP69OnUqFEDa2trpn83iuNnzmETEw7AimnfMqRLS3bsO8KmTZuYNGkSO3bsoEaNGpiZmWFkZKRzPpVKhbGxMdbW1jx9+hQjIyPsTBKV9ABio+7TolEd/EYNBMfSOrE5Oztz5Urya661tbVO2kZGRpiamqaZdyqVCnNzc53tpqamOjG2a9eOR48eMWvWLIoUKYKZmRm1a9fWuw4LCwud5eHDh7N7x1a+HzuY4m6uWJib8UWvb1HFPEy+NqeK/wVy928AClpD5OMHOteesl9qcabcWysrKwDy5MmT9n2aPp3jx48raaxYsYIhQ4awY8cOvfv0MltbW+VcGc1Hc3Nz1Gq1zjoHBwedZTMzM717lpSUhLOzM3v37tU7j52dHTY2NlhYWOid70VqtVpv+/Pnz+nVqxdff/213v6FCxdWHk20sbHRGQAq5dpSyqe1tTXPnz8nf/78qZ4/NjYWCwsL6tatq/d6kZkvkQy2ApryLcW9e/dwdnZW1t+7d0+ZA8jJyUmv73JiYiKPHj1K81sOSC4QKc3eLzIxMcm9D/8i52hi096Wy/c/W8pgegMDvTjhe2byxYDzMFtk9HozmtdvgzSu2UQTK6+TUv7/8zrXm156r5umcmgOv49nNG8MuMwkJSWhUqlQq9WZGpk0q73OuVMGYVGr1TRv3pw+ffqgUqlo1qwZarVaZ3v58uUxMzPjn3/+UbqxviwgIIBatWrpdCG9ev1mcnxolXVVy5eiavlSjJoyh5o1a7J69Wpq1apF/vz5uXDhgs61nD17FhMTE+X5Q5VKhQrtS+mVZt3WvRR1dca4cEm9uEqUKIGJiQknTpxQBgF6/PgxISEheHp6ppl3ZcqU4cSJEzpT0aQMrJNyzNGjR5k3bx4tWrQA4ObNmzx48EDJN0j+v9JqtTrnOXr0KF0/b0nbZsl5Gf0shvB/blMv5dp0YtIq+XY34iGRTyLJa/dv5ebf/Y4fP64XZ+XKlXXKZcrfqd6nq1d1rguSWymrVq3KqFGjdO7TyypVqsSiRYt48uSJ0gX35XwMCAjQea746NGjlC1bVud8L/8Ppdzzl2O6e/cupqamyr18WcWKFdm3bx/du3dPdbupqSkajUYn3SpVqhAcHEzJkvrlB5JbZxMTEzlz5ozSBffy5cs8efJEZzAjlUrFhQsXlLx/Wcr/VWqvtZl57TXYeUDd3d1xcnJiz549yrqoqCgCAwOVvvs1a9bkyZMnnDp1Stln7969aDQaqlevnuMxCyGEEEKInGdkZERwcDAXL17UezYNklsPhw4dyuDBg1m2bBlhYWGcPn2aOXPmsGzZMiC5onfy5El27NhBSEgIY8eO5cTZi0oa127cYuSUOQScPMv1f26zc+dOQkNDKVOmDJA8wu3JkydZvnw5oaGh+Pj4cP78+VfG3q9rOx49ieTLvqM4ceIEYWFh7NixA29vb5KSkrCysqJ79+58++237N27l/Pnz9O1a9dXVtoHDhzI4sWLWbJkCSEhIfj4+OhNr1GiRAlWrFhBcHAwgYGBdOzYEQsLC5193Nzc2LNnD3fv3uXx48fKceu37SXo/GXOXgihQ79RaDRa0lO5fCkc7O04ciJIb9vatWtZvHixEufx48d1BtB5OWa9+/Tv4EiQPI7MyJEjCQgI4Pr163r36WVffvklTk5OtGnThiNHjnD16lXWrVtHQEAAkDwA1NKlS/npp58IDQ1l5syZrF+/nqFDh6Z7vanx8vKiZs2atGnThp07dxIeHs7Ro0cZPXo0J0+eBMDHx4dVq1bh4+NDcHAw586dY+rUqUoabm5uHDx4kFu3bikjJQ8fPpyjR4/Sv39/goKCCA0N5c8//1TysFSpUjRt2pTevXsTGBjIqVOn6NGjh969Bjh06BCNGzfO9LVlRq62gEZHRyvdCiC5wAQFBWFvb0/hwoUZNGgQEydOpESJEri7uzN27FhcXFyUIa7LlClD06ZN6dmzJ/PnzychIYH+/fvTvn17XFxccumqhBBCiPfQu9QDQAAQ7vfx6x/8whQbelwqp73tDbyqG++ECRNwdHRkypQpXL16FTs7O6pUqcKoUaMA6N27N2fOnKFdu3aoVCq+/PJL+nb5nG17jwBgaWHOpSvhLFv7Fw8fR+Ls7EK/fv3o3bs3AE2aNGHs2LEMGzaM2NhYunXrRufOnTl37ly6cbk4OXJk4xKGT55F48aNiYuLo0iRIjRt2lSpZE6bNo3o6GhatmyJtbU133zzDZGR6f9ftWvXjrCwMCWetm3b8r///Y8dO3Yo+yxatIhevXop09lMnjxZr2I1Y8YMhgwZwi+//ELBggUJDw9n5syZdOv4ObVae+Ngb8fwfl2Iin72cgg6jIyM8G7Xit82bKNFo7o628aPH8/q1avp27cvzs7OrFq1irJly6aaTqr3qW9ftm3bBoClpSWXLl1i2bJlPHz4EGdnZ5379DJTU1N27tzJN998Q/PmzUlMTKRs2bLKNJFt2rRh1qxZTJ8+nYEDB+Lu7s6SJUv0BnDKCJVKxdatWxk9ejTe3t7cv38fJycn6tatq4x7U69ePdauXcuECRPw8/PDxsaGunX/y6/vvvuO3r17U6xYMeLi4tBqtVSsWJEDBw4wevRo6tSpg1arpVixYrRr1045bsmSJfTo0QNPT08KFCjAxIkTGTt2rE58AQEBREZG8tlnn2X62jKVD9qUYY9ywf79+1PtBtGlSxeWLl2KVqvFx8eHBQsW8OTJEz766CPmzZun07z86NEj+vfvz19//YVaraZt27bMnj1b6S+eEVFRUdja2hIZGSnPgL4PsvpDUhakl5CQwNatW2nevHnudcHNzHW8bx80syMPc8trXkuC2pytlRbQ/GwvTMbdy6bg3hJvw33OSlld/l81X/Br5GG2voam5x14bYiNjeXatWs68xRmiYxWQHOhopopWRSfRqMhKioq+Rm8u2fT3tEQrjmjXuMe3414QLn6n3N6x28UKeTydl3vOyylfPbq1QsPDw/lS5mXpfd6kZn6VK62gNarV4/06r8qlYrvvvuO7777Ls197O3tdUZ8EkIIIYQQQhgep/wOLJoxjhu37iZXQIXBSBlJePDgwa/e+Q1lugK6bNkyHBwc+Pjj5G4Zw4YNY8GCBZQtW5ZVq1ZRpEiRLA9SCCGyhQG3SohXkHsnhBBvpTZNUx8EyuBbw99xpqamjB49OkcGI8v0GSZPnqw8sBoQEMDcuXP5/vvvcXBwyJEasxBCCCGEEEKIt1OmW0Bv3rxJ8eLFAdi4cSNt27alV69e1K5d+7UexhXCYEkLixDiTchriBAiJ0jLoXjLZLoF1MrKiocPHwKwc+dOGjVqBCRPyPr8+fOsjU4IIYQQQgghxDsj0y2gjRo1okePHlSuXJmQkBCaN28OwIULF9KcUFUIIYQQQgghhMh0BXTu3LmMGTOGmzdvsm7dOvLlywfAqVOn+PLLL7M8QCGEEO8A6Y4qhBBCCF6jAhoVFcXs2bP1Rkjy9fXl5s2bWRaYEEIIIYQQQoh3S6afAXV3d+fBgwd66x89eoS7u3uWBCWEEEIIIYQQ4t2T6RZQrVab6vro6GjMzc3fOCAhxDtEul0KIcTbK73X8KzWa3/OnSs7vKUj0apUKjZs2ECbNm0IDw/H3d2dM2fO4OHh8Vrphd+8jXuNFm+Uhnj3ZbgCOmTIECC5oI4bNw5LS0tlW1JSEoGBgVLQhBBCCCFEjujatSvLli3TWx8aGkrx4sXp2rUrT548YePGjake//z5c/z8/Fi1ahXXr1/H2tqa+vXr4+vrS7ly5ZT9fGfMZ/zMBQCo1WpcCjjSrEEt/GYvxN7eXtnPrfrHDOrRgUE9OwJw9kIIY6fNoNoEAQAAOZZJREFU41hQMFFRUeTPn58aNWrw45je5Hewx9C4urpy584dHBwcMrR/10E+PIl6ysbFM/9Lw6UAd87sxKF8+ewKU7wDMlwBPXMm+ZsdrVbLuXPnMDU1VbaZmppSqVIlhg4dmvURCiGEeDVpbX4zr2rpkTwUwiA1bdqUJUuW6KxzdHR85XFxcXF4eXlx48YNZsyYQfXq1bl37x5TpkyhevXq7N69mxo1aij7lytVjN2rfyIpSUNw6DW6fTOeyP/9j99//z3V9O8/fEzDdn1o4VWHHTt2YGNjw8WLF9mzZw/PYjI4bWEGW1UTEhIwMTHJWJrpMDIywsnJ6c3TyO8AxpnuZCneIxkuHfv27QPA29ubWbNmYWNjk21BCSGEEEII8SpmZmavVWny9/cnICCAM2fOUKlSJQCKFCnCunXrqF69Ot27d+f8+fOo/t3fOKViBRR0zs/nLbxYsnZLmukfORFE5NNoFk4fi3Hhymg0GvLly8fHH3+M+u7ZNI9zc3Oje/fuXLx4kU1/bsTO1ppRX3ejX9d2yj6qglWYN28e27ZtY8+ePXzbpxO+3/Thzx37GT9zARdDr+JSwJEun7dgtN+PGP9bGQwNDaV79+4cP36cokWLMmvWLJ1zp9YF98KFCwwfPpyDBw+i1Wrx8PBg6dKlrFixgmVr/1LiAdi3dgFuri56XXAPBJzi24n+nL0Ygr2dLV0+b8HEYX2VuOrVq0fFihUxT4xk4aqNmJqY0Oertvh+0ycDd1K8jTI9CNGSJUuk8imEEEIIIXLO7TP6PzGPIPb1eiesXLmSRo0aKZXPFGq1msGDB3Px4kXOnk29ohh+8zY7DgTo9AZ8mZNjPhITE9mwbV+a46ekZdq0aVSqVIkzO1Yxop83A8dNZ9fBYzr7+Pr68sknn3Du3Dm6tW/NocDTdB44joHdv+Tivj/4eepolq75i0mTJgGg0Wj49NNPMTU1JTAwkPnz5zN8+PB047h16xZ169bFzMyMvXv3curUKbp160ZiYiJDhw7li5aNaFq/FnfO7OTOmZ3U+qBSqmk0/+prPqxUlrO7VvPTlJEsWrWRibMW6uy3bNky8lhaEPjXcr4fPZDvfvhF75rFuyPT7ePPnj3Dz8+PPXv2EBERgUaj0dl+9erVLAtOCCGEEEKItGzefQgrKytluVmzZqxdu/aVx4WEhFC/fv1Ut5UpU0bZxyN/CQDOXbqCVYnaJGk0xMbGATBz5sxUjweoUbUio77uRof+o+kzaioffvghtWrVomfPnji/IrbatWszYsQIuH2GksWKcOREED/88huN6v7XJbhDhw54e3snL5hH0m3IeEb060qXL1oCULRIISZ8+z+GTZmHj48Pu3fv5tKlS+zYsQMXFxcAJk+eTLNmzdKMY+7cudja2rJ69Wqli2/JkiWV7Rbm5sTFJygtw6mZN28eri5O/DhpBCqVitLF3bl99z7DJ89m3OBeSktYxYoV8RnSG4ASRQvz49Lf2XP4uM41i3dHpiugPXr04MCBA3z11Vc4OzujUqlefZAQQggh3ow85yuEnvq1PuCnxb8qy3ny5MnwsZlpmSxVrAiblvxAbFw8v67fStCFy3z99dfpHjNpRH+G9OrE3uAHHDt2jCVLlvDDDz9w8I+fqVCmRJrH1axZU3e5akX8F67UWffBBx/oLJ+9GMKRk2eZNHuRsi6lshwTE0NwcDCurq5K5TO187wsKCiIOnXqvNHzpcHBwdSsWkGnvlD7Qw+in8Xwz517FC6UvK5ixYo6xznndyDiwaPXPq8wbJmugG7bto0tW7ZQu3bt7IhHCCGEECJ3SWX/rZHH0oLixYtn+riSJUsSHByc6raU9cmtfcmVVFMTE4q7FwbAb9QAPv5qAOPHj2fChAnpniefvR2ff16ftm3bMnz4cOrXr8/0+StYNuu7TMf8opcr2tExzxn/TW8+bdZAd8cC5V57mkQLC4vXDS/TXq7kqlQqNJrMdV0Wb49MPwOaN29enSGnhRBCCCGEeJu0b9+e3bt36z3nqdFo+OGHHyhbtqze86EvGjOwO9OnT+f27dsZPqepqSlFixZ95Si4x47pPvt47PQ5ypRwT/eYKuVLcznsOsXdC+v+FC+OWq2mTJky3Lx5kzt37qR5npdVrFiRQ4cOkZCQkMb1GJOUlJRuGmXKlCHg1Dmd1uYjJ4KwtspDIecC6R4r3l2ZbgGdMGEC48aNY9myZTpzgQohhMhiMjWIeB3Sevf2yup7J68hREZGEhQUpLMuX758DB48mD///JOWLVvqTMMyefJkgoOD2b17d7qPmdX8oBIVK1Zk8uTJ/Pjjj3rbN+86yOpNO2jfqgkla+YhKSmJP/74g23btrFkpk+6MR85coTvv/+eNjVLsuvQMdZu3s2W5bPSPWbc4J606DKIwgWd+OxjL9RqFWcvhnL+1jomTpyIl5cXJUuWpEuXLkybNo2oqChGjx6dbpr9+/dnzpw5tG/fnpEjR2Jra8uxY8eoVq0apUqVwq2QCzv2B3D5Sjj57G2xtbbSS6Nv3774/zCTr8dMpb93Oy6HXcdnxnyG9OqIWp3pdjDxjsh0BXTGjBmEhYVRoEAB3Nzc9JrMT58+nWXBCSGEEEKIXJJaBTWDc1NmyX5ZYP/+/VSuXFlnXffu3Vm4cCF79+5l8uTJjBo1iuvXr2NtbU39+vU5duwY5cuXf2XagwcPpmvXrgwfPhxXI91tZUsWxdLCnG+++4Gbd0ZiZmZG0aJFWbBgAV81rZx6gv/65ptvOHnyJON9fbCxtmKmzxCa1KuV7jFN6tVi8zJ/vvvhF6bOXYaJiTGli7vR438DgOTRfTds2ED37t2pVq0abm5uzJ49m6ZNm6aZZr58+di7dy/ffvstnp6eGBkZ4eHhoTyG17Pjp+wPOMUHzTsR/SxGmYblRQULFmTrijl8O9GfSo3aY29nS/cv2zBmYI90r0e82zJdAW3Tpk02hCGEEEIIIUTGLfUfn/72pUtZunRpmtstLS2ZOHEiEydOTDcd32/6pDonZfv27Wnfvn3ywu0HhAf+Ny9o0SKFWPD92OQFl+R5QKOiopKnMkxnHlAAGxsb1qxZk2blXHvrtG4l/l9N6tXSr6i+sF/JkiU5dOiQblovdI11c3PTG5ipYsWK7NixI9U4HPPlZeeqeWnE56Ese9asyvEtK1JNA5K/JAB0rnfj4rRHGM7wlxvCYGW6Aurjk363ASGEyHXSBVEIIYQQwiBJ52shhBBCCCGEEDkiQy2g9vb2hISE4ODgQN68edN9KPvRI5mzR4gcIa18Qrwb5H85bZI34j0THh6e2yEIke0yVAH94YcfsLa2BsDf3z8749GRlJSEr68vv/76K3fv3sXFxYWuXbsyZswYpRKs1Wrx8fHhl19+4cmTJ9SuXZuffvqJEiXSnuBXCCGEEEIIIUTOy1AFtEuXLqn+nd2mTp3KTz/9xLJlyyhXrhwnT57E29sbW1tbBgxIHtXr+++/Z/bs2Sxbtgx3d3fGjh1LkyZNuHjx4mtPvCveUvJNuRBCCPFaXh58RgghXpZVrxOZHoQIklsmN27cSHBwMADlypWjVatWGBkZveLIzDl69CitW7fm448/BpJH51q1ahXHjx8HkjPB39+fMWPG0Lp1awCWL19OgQIF2Lhx438jkwkhhBBCyBeVelKm04uJicHCwiKXoxFCGLKYmBgAvWk4MyvTFdArV67QvHlzbt26RalSpQCYMmUKrq6ubNmyhWLFir1RQC+qVasWCxYsICQkhJIlS3L27FkOHz7MzJnJQzNfu3aNu3fv4uXlpRxja2tL9erVCQgISLMCGhcXR1xcnLIcFRUFQEJCAgkJCVkWv8hh6nRavF+8r7m1XzpSyl2myl9uXkcO5s1reYvLgo700nvdc7/mfgn/LieozbP+Wgw9vZfTNPTylVt5nRX7vWaaGX4NNfR7kkvl2tramnv37qHRaLC0tEx3rA8S00nv3w+nubpfVsui+LRaLfHx8Tx//hyV5E3O7CcyTKd8pvL/r9VqiYmJ4f79+9jY2KDRaNBoNDr7ZOYzrEqbybbU5s2bo9Vq+e2337C3twfg4cOHdOrUCbVazZYtW16RQsZpNBpGjRrF999/j5GREUlJSUyaNImRI0cCyS2ktWvX5vbt2zg7OyvHffHFF6hUKn7//fdU0/X19WX8eP25o1auXImlpWWWxS+EEEII8TawtrbG2toatVomSBBC6NNoNDx9+pSnT5+muj0mJoYOHToQGRmZPN9tOjLdAnrgwAGOHTumVD4B8uXLh5+fH7Vr185sculas2YNv/32GytXrqRcuXIEBQUxaNAgXFxc3uhZ1JEjRzJkyBBlOSoqCldXVxo3bvzKDBMGbEqhtLeN/Cf390tHQkICu3btolGjRhnv1pCb15GDefNa3uKyoCO99F733K+5X4LanF0VZtPo3ABMhl/JvvNmVE7eu+xI0xD2y6i3IK8z/Bpq6PckN19DSH7EKjExMf3nvBbUS3tbr/25v19Wy6L4EhMTOXr0KLVq1cJ4sVe6+2b1ubPN+1YW3mE65dNYv3qoUqkwNjZO93HLlB6lGZHpCqiZmVmqNd/o6GhMTU0zm1y6vv32W0aMGKF0pa1QoQLXr19nypQpdOnSBScnJwDu3bun0wJ67949PDw80r0GMzMzvfUmJiZv3KdZ5CJNbNrbXryvubVfBmSqDObmdeRC3mTKO1AWXpne6577Dfcz0cTqllFDzJusji870jSE/TLqbchrZdUrXkMN/Z7k5msIGXyu6+mVtLf9O2NCru6XURl9HjiL4ktISCAxMRErKytMDD1vMupdKQtCt3y+5uezzByX6X4WLVq0oFevXgQGBqLVatFqtRw7dow+ffrQqlWrzCaXrpiYGL2uIEZGRkqfY3d3d5ycnNizZ4+yPSoqisDAQGrWrJmlsQghhBBCCCGEeDOZbgGdPXs2Xbp0oWbNmkpNNzExkVatWjFr1qwsDa5ly5ZMmjSJwoULU65cOc6cOcPMmTPp1q0bkNwcPGjQICZOnEiJEiWUaVhcXFxo06ZNlsYihBBZRkbiFEIIIcR7KtMVUDs7O/7880+uXLmiTMNSpkwZihcvnuXBzZkzh7Fjx9K3b18iIiJwcXGhd+/ejBs3Ttln2LBhPHv2jF69evHkyRM++ugjtm/fLnOACiGEEEIIIYSByXAFVKPRMG3aNDZt2kR8fDwNGzbEx8cnW+eMsra2xt/fH39//zT3UalUfPfdd3z33XfZFocQQgghhBBCiDeX4WdAJ02axKhRo7CysqJgwYLMmjWLfv36ZWdsQgghhBBCCCHeIRmugC5fvpx58+axY8cONm7cyF9//cVvv/2mNwmpEEIIIYQQQgiRmgx3wb1x4wbNmzdXlr28vFCpVNy+fZtChV4xz5QQQgiRETJAk3gdUwpBpQXJv1+eekTKTcbI/54QIodkuAKamJioN7CPiYkJCQkJWR6UEOI9Ix98hBAi4+Q1U2QnKV8im2W4AqrVaunatStmZmbKutjYWPr06UOePHmUdevXr8/aCIUQQgghhBBCvBMyXAHt0qWL3rpOnTplaTBCCCGEyCHSyiGEECIXZLgCumTJkuyMQwghhBBCCCHEOy7DFVAhRA6RVgkhhBBCCPGOkgqoEEIIIYR4N8iXuEIYvAzPAyqEEEIIIYQQQrwJqYAKIYQQQgghhMgRGaqAVqlShcePHwPw3XffERMTk61BCSGEEEIIIYR492SoAhocHMyzZ88AGD9+PNHR0dkalBBCCCGEEEKId0+GBiHy8PDA29ubjz76CK1Wy/Tp07Gyskp133HjxmVpgEK8M9IbGGH0g5yLQwghhBBCiFySoQro0qVL8fHxYfPmzahUKrZt24axsf6hKpVKKqBCCCGEEEIIIVKVoQpoqVKlWL16NQBqtZo9e/aQP3/+bA1MCCGEEEIIkUVkihphIDI9D6hGo8mOOIQQQgghhBBCvOMyXQEFCAsLw9/fn+DgYADKli3LwIEDKVasWJYGJ4QQQgghhBDi3ZHpeUB37NhB2bJlOX78OBUrVqRixYoEBgZSrlw5du3alR0xCiGEEEIIIYR4B2S6BXTEiBEMHjwYPz8/vfXDhw+nUaNGWRacEEIIIYQQQoh3R6ZbQIODg+nevbve+m7dunHx4sUsCUoIIYQQQgghxLsn0xVQR0dHgoKC9NYHBQXJyLhCCCGEEEIIIdKU6S64PXv2pFevXly9epVatWoBcOTIEaZOncqQIUOyPEAhhFDIEPJCCCGEEG+1TLeAjh07lnHjxjFnzhw8PT3x9PTkxx9/xNfXlzFjxmR5gLdu3aJTp07ky5cPCwsLKlSowMmTJ5XtWq2WcePG4ezsjIWFBV5eXoSGhmZ5HEIIIYQQQggh3kymW0BVKhWDBw9m8ODBPH36FABra+ssDwzg8ePH1K5dm/r167Nt2zYcHR0JDQ0lb968yj7ff/89s2fPZtmyZbi7uzN27FiaNGnCxYsXMTc3z5a4RA5Kr8ULpNVLCCGEEEKIt8hrzQOaIrsqnimmTp2Kq6srS5YsUda5u7srf2u1Wvz9/RkzZgytW7cGYPny5RQoUICNGzfSvn37bI1PCCGEEEIIIUTGvVEFNLtt2rSJJk2a8Pnnn3PgwAEKFixI37596dmzJwDXrl3j7t27eHl5KcfY2try//buPTqq8tzj+G8Ck4QQksg1oVyMgCAH5I6mWCBcAlY9UDitCrWALKoYyiUomLJApPVwsVrFg2AtAnYZtaDUqsdQCAkIhJggFESNDaLQA4RKSAKEJAN5zx+UkcmNTMjM7Ey+n7WyVva7n3nfZ++82ZMne8/ed9xxh9LT06ssQEtKSlRSUuJcLiwslCQ5HA45HA4PbhHcFnCds9jX/ryqi7V43NV553A4LJmfyv9eWD3HhhDn5bEd/152BARbf9/U833doONq2afL/PR0jv4S58uxG2BcvXqf95c41JjL/LzBPmrCZowxtR7Jw65eQpuQkKCf/vSnyszM1KxZs7RmzRpNmjRJe/bs0aBBg3TixAlFRUU5X/ezn/1MNptNb7/9dqX9Ll68WE8//XSF9qSkJIWEhHhmYwAAAADADxUVFWnChAkqKChQWFhYtbGWLkADAwPVv39/7dmzx9k2c+ZMZWZmKj09vdYFaGVnQNu3b6/vvvvuujsMXra0XfXrE/9Zs1iLxzkeP6qtW7dq5MiRsv8uuso4S2yHL8cmzmdjOwKCtbXnSo08NFP2+TleG9cScb4cu6HF1bJPx/LO38/PsmLP5ugvcb4cuwHGORyO+vM+7y9xqDGX+Wm316qPwsJCtWzZskYFqFuX4DocDo0ePVpr1qxRly5dapWcO6KiotS9e3eXtttuu03vvPOOJCkyMlKSlJub61KA5ubmqnfv3lX2GxQUpKCgoArtdru91jsdHlL+D4nyrv15VRdbT+LsdnvFP54slJ/PxybO52Pby4pdj5NW3Dd+sq8bZNwN9mkvK654DLX6NtfTfU1c7eLqxfu8v8TBbTdSC7nzOrcew2K323Xw4EG3E6qtQYMGKTs726Xtq6++UseOHSVduSFRZGSkUlJSnOsLCwuVkZGhmJgYr+UJAAAAALg+t58D+vOf/1xr1671RC4VzJkzR3v37tV///d/KycnR0lJSfrDH/6g+Ph4SVceCTN79mz99re/1V//+lcdOnRIv/jFL9S2bVuNHTvWKzkCAAAAAGrG7bvgXrp0Sa+99pq2bdumfv36qWnTpi7rn3/++TpLbsCAAdq8ebMSExO1ZMkSRUdH64UXXtDEiROdMfPmzdOFCxf0y1/+Uvn5+brrrruUnJzMM0ABAAAAwGLcLkA/++wz9e3bV9KVy2GvZbPZ6iara9x777269957q1xvs9m0ZMkSLVmypM7HBgAAAADUHbcL0NTUVE/kAQAAAADwc25/BvSqnJwcbdmyRRcvXpQkWfhpLgAAAAAAC3C7AD1z5oyGDx+uW2+9VT/+8Y918uRJSdLUqVM1d+7cOk8QAAAAAOAf3C5A58yZI7vdrmPHjikkJMTZfv/99ys5OblOkwMAAAAA+A+3PwP6t7/9TVu2bFG7du1c2rt06aJvv/22zhIDAAAAAPgXtwvQCxcuuJz5vCovL09BQUF1khQAAAAA1Nri8OusL/BOHqjA7Utwf/SjH+n11193LttsNpWVlWnFihWKjY2t0+QAAAAAAP7D7TOgK1as0PDhw5WVlaXS0lLNmzdPhw8fVl5ennbv3u2JHAEAAAAAfsDtM6A9evTQV199pbvuuktjxozRhQsXNG7cOO3fv1+dOnXyRI4AAAAAAD/g9hlQSQoPD9eCBQvqOhcAAAAAgB+rVQF69uxZrV27Vl988YUkqXv37poyZYqaN29ep8kBAAAAAPyH25fg7ty5UzfffLNWrlyps2fP6uzZs1q5cqWio6O1c+dOT+QIAAAAAPADbp8BjY+P1/3336/Vq1erUaNGkqTLly/rscceU3x8vA4dOlTnSQIAAAAA6j+3z4Dm5ORo7ty5zuJTkho1aqSEhATl5OTUaXIAAAAAAP/hdgHat29f52c/r/XFF1+oV69edZIUAAAAAMD/1OgS3IMHDzq/nzlzpmbNmqWcnBzdeeedkqS9e/dq1apVWrZsmWeyBAAAAADUezUqQHv37i2bzSZjjLNt3rx5FeImTJig+++/v+6yAwAAAAD4jRoVoEePHvV0HgAAAAAAP1ejArRjx46ezgMAAAAA4OfcfgyLJJ04cUK7du3S6dOnVVZW5rJu5syZdZIYAAAAAMC/uF2Arl+/Xo888ogCAwPVokUL2Ww25zqbzUYBCgAAAAColNsF6MKFC7Vo0SIlJiYqIMDtp7gAAAAAABootyvIoqIiPfDAAxSfAAAAAAC3uF1FTp06VRs3bvRELte1bNky2Ww2zZ4929lWXFys+Ph4tWjRQqGhoRo/frxyc3N9kh8AAAAAoGpuX4K7dOlS3XvvvUpOTlbPnj1lt9td1j///PN1lty1MjMz9corr+j22293aZ8zZ44+/PBDbdy4UeHh4ZoxY4bGjRun3bt3eyQPAAAAAEDt1KoA3bJli7p27SpJFW5C5Annz5/XxIkT9eqrr+q3v/2ts72goEBr165VUlKShg0bJklat26dbrvtNu3du1d33nmnR/IBAAAAALjP7QL0ueee02uvvabJkyd7IJ3KxcfH65577tGIESNcCtB9+/bJ4XBoxIgRzrZu3bqpQ4cOSk9Pr7IALSkpUUlJiXO5sLBQkuRwOORwODy0FaiVgODq11/786ou1uJxV+edw+GwZH4q/3th9RwbQpyXx3b8e9kREGz9fVPP93WDjqtlny7z09M5+kucL8dugHH16n2+IcSVj23gXObnDfZREzZjjHGn88jISH388cfq0qWL24nVxltvvaVnnnlGmZmZCg4O1tChQ9W7d2+98MILSkpK0pQpU1yKSUkaOHCgYmNjtXz58kr7XLx4sZ5++ukK7UlJSQoJCfHIdgAAAACAPyoqKtKECRNUUFCgsLCwamPdPgM6a9YsvfTSS1q5cmWtE6yp48ePa9asWdq6dauCg6/zXww3JCYmKiEhwblcWFio9u3bKy4u7ro7DF62tF316xP/WbNYi8c5Hj+qrVu3auTIkbL/Ltpy+bnE+XJs4nw2tiMgWFt7rtTIQzNln5/jtXEtEefLsRtaXC37dCzv/P38LCv2bI7+EufLsRtgnMPhqD/v8w0hrnxsA+cyP8vd36emrl5RWhNuF6CffPKJtm/frg8++ED/8R//USHJd999190uq7Rv3z6dPn1affv2dbZdvnxZO3fu1P/8z/9oy5YtKi0tVX5+viIiIpwxubm5ioyMrLLfoKAgBQUFVWi32+213unwkPJ/SJR37c+ruth6Eme32yv+8WSh/Hw+NnE+H9teVux6nLTivvGTfd0g426wT3tZccVjqNW3uZ7ua+JqF1cv3ucbQlz5WEi6sVrInde5XYBGRERo3Lhx7r6sVoYPH65Dhw65tE2ZMkXdunXT/Pnz1b59e9ntdqWkpGj8+PGSpOzsbB07dkwxMTFeyREAAAAAUDNuF6Dr1q3zRB6VatasmXr06OHS1rRpU7Vo0cLZPnXqVCUkJKh58+YKCwvTr371K8XExHAHXAAAAACwGLcLUKv5/e9/r4CAAI0fP14lJSUaNWqUXn75ZV+nBQAAAAAox+0CNDo6utrnfX799dc3lND1pKWluSwHBwdr1apVWrVqlUfHBQAAAADcGLcL0NmzZ7ssOxwO7d+/X8nJyXriiSfqKi8AAAAAgJ+p1WNYKrNq1SplZWXdcEIAAAAAAP8UUFcd3X333XrnnXfqqjsAAAAAgJ+pswJ006ZNat68eV11BwAAAADwM25fgtunTx+XmxAZY3Tq1Cn961//4u6zAAAAAIAquV2Ajh071mU5ICBArVq10tChQ9WtW7e6ygv+bnF4NesKvJcHAAAAGjb+LvUqtwvQp556yhN5AAAAAAD8XJ19BhQAAAAAgOrU+AxoQECAy2c/K2Oz2XTp0qUbTgoAAAAA4H9qXIBu3ry5ynXp6elauXKlysrK6iQpAAAAAID/qXEBOmbMmApt2dnZevLJJ/X+++9r4sSJWrJkSZ0mBwAAAADwH7X6DOiJEyc0bdo09ezZU5cuXdKBAwe0YcMGdezYsa7zAwAAAAD4CbcK0IKCAs2fP1+dO3fW4cOHlZKSovfff189evTwVH4AAAAAAD9R40twV6xYoeXLlysyMlJvvvlmpZfkAgAAAABQlRoXoE8++aSaNGmizp07a8OGDdqwYUOlce+++26dJQcAAAAA8B81LkB/8YtfXPcxLAAAAAAAVKXGBej69es9mAYAAAAAwN/V6i64AAAAAAC4iwIUAAAAAOAVFKAAAAAAAK+gAAUAAAAAeAUFKAAAAADAKyhAAQAAAABeYekCdOnSpRowYICaNWum1q1ba+zYscrOznaJKS4uVnx8vFq0aKHQ0FCNHz9eubm5PsoYAAAAAFAVSxegO3bsUHx8vPbu3autW7fK4XAoLi5OFy5ccMbMmTNH77//vjZu3KgdO3boxIkTGjdunA+zBgAAAABUprGvE6hOcnKyy/L69evVunVr7du3T4MHD1ZBQYHWrl2rpKQkDRs2TJK0bt063Xbbbdq7d6/uvPNOX6QNAAAAwN8sDq9mXYH38qjnLF2AlldQcOUH27x5c0nSvn375HA4NGLECGdMt27d1KFDB6Wnp1dZgJaUlKikpMS5XFhYKElyOBxyOByeSh/XCgiuet21P4Pq4tyJtXjc1XnncDgsmZ/K/15YPceGEOflsR3/XnYEBFt/39Tzfd2g42rZp8v89HSO/hLny7EbYFy9ep9vCHGeHruecZmfN9hHTdiMMabWI3lRWVmZ/vM//1P5+fnatWuXJCkpKUlTpkxxKSYlaeDAgYqNjdXy5csr7Wvx4sV6+umnK7QnJSUpJCSk7pMHAAAAAD9VVFSkCRMmqKCgQGFhYdXG1pszoPHx8frss8+cxeeNSExMVEJCgnO5sLBQ7du3V1xc3HV3GOrI0nZVr0v8Z83i3Im1eJzj8aPaunWrRo4cKfvvoi2Xn0ucL8cmzmdjOwKCtbXnSo08NFP2+TleG9cScb4cu6HF1bJPx/LO38/PsmLP5ugvcb4cuwHGORyO+vM+3xDiPD12PeMyP+32WvVx9YrSmqgXBeiMGTP0wQcfaOfOnWrX7vsffGRkpEpLS5Wfn6+IiAhne25uriIjI6vsLygoSEFBQRXa7XZ7rXc63FT+D4RrXfszqC7Ondh6Eme32yv+8WSh/Hw+NnE+H9teVux6nLTivvGTfd0g426wT3tZccVjqNW3uZ7ua+JqF1cv3ucbQpynx66nbqQWcud1lr4LrjFGM2bM0ObNm7V9+3ZFR7v+x6hfv36y2+1KSUlxtmVnZ+vYsWOKiYnxdroAAAAAgGpY+gxofHy8kpKS9N5776lZs2Y6deqUJCk8PFxNmjRReHi4pk6dqoSEBDVv3lxhYWH61a9+pZiYGO6ACwAAAAAWY+kCdPXq1ZKkoUOHurSvW7dOkydPliT9/ve/V0BAgMaPH6+SkhKNGjVKL7/8spczBQAAAABcj6UL0JrcoDc4OFirVq3SqlWrvJARAAAAAKC2LF2Aoh7iAb0AAAAAqmDpmxABAAAAAPwHBSgAAAAAwCsoQAEAAAAAXkEBCgAAAADwCgpQAAAAAIBXUIACAAAAALyCAhQAAAAA4BU8BxQ1w/M9AQAAANwgzoACAAAAALyCAhQAAAAA4BUUoAAAAAAAr6AABQAAAAB4BTchAgAAAIC6ws07q8UZUAAAAACAV3AGtKHjPzQAAAAAvIQzoAAAAAAAr6AABQAAAAB4BQUoAAAAAMArKEABAAAAAF5BAQoAAAAA8AoKUAAAAACAV/AYFgAAAADwtgb6OES/KUBXrVqlZ599VqdOnVKvXr300ksvaeDAgb5Oy3ca6IQGAAAAYF1+cQnu22+/rYSEBD311FP69NNP1atXL40aNUqnT5/2dWoAAAAAgH/ziwL0+eef17Rp0zRlyhR1795da9asUUhIiF577TVfpwYAAAAA+Ld6fwluaWmp9u3bp8TERGdbQECARowYofT09EpfU1JSopKSEudyQcGVS1Lz8vLkcDg8m7C3lAZWve7MGf+I8+XYdRznOHNGRUVFOnPmjOwWzM8lzpdjE+ezsR0BgVfmaGmg7FbfN/V8XzfouFr26Si9Zn6WlXk2R3+J8+XYDTDO4XDUn/f5hhDny7Fr+7eXB7nMT7u9Vn2cO3dOkmSMuW6szdQkysJOnDihH/zgB9qzZ49iYmKc7fPmzdOOHTuUkZFR4TWLFy/W008/7c00AQAAAMCvHT9+XO3atas2pt6fAa2NxMREJSQkOJfLysqUl5enFi1ayGazeXz8AQMGKDMz0+PjWD0H8vheYWGh2rdvr+PHjyssLMxneUi+3xdWysMKOVglD+ao9XIgj+8xP62ZhxVysEoezFHr5UAe36uL+WmM0blz59S2bdvrxtb7ArRly5Zq1KiRcnNzXdpzc3MVGRlZ6WuCgoIUFBTk0hYREeGpFCto1KiRzw8+VsiBPCoKCwvzeR5W2RdWyMMKOVgpD4k5aqUcyKMi5qe18rBCDlbKQ2KOWikH8qjoRudneHg1T+G4Rr2/CVFgYKD69eunlJQUZ1tZWZlSUlJcLsm1kvj4eF+nYIkcJPKwIqvsCyvkYYUcJOvkYRVW2B9WyEEiDyuyyr6wQh5WyEGyTh5WYYX9YYUcJPLwlXr/GVDpymNYJk2apFdeeUUDBw7UCy+8oD//+c/68ssv1aZNG1+nB1xXYWGhwsPDVVBQYIn/gAHlMUdhZcxPWB1zFFbm7flZ7y/BlaT7779f//rXv7Ro0SKdOnVKvXv3VnJyMsUn6o2goCA99dRTFS4NB6yCOQorY37C6pijsDJvz0+/OAMKAAAAALC+ev8ZUAAAAABA/UABCgAAAADwCgpQAAAAAIBXUIACAAAAALyCAhTwoJ07d+q+++5T27ZtZbPZ9Je//MVlvTFGixYtUlRUlJo0aaIRI0boH//4h0tMXl6eJk6cqLCwMEVERGjq1Kk6f/68F7cC/up683Py5Mmy2WwuX6NHj3aJYX7CU5YuXaoBAwaoWbNmat26tcaOHavs7GyXmOLiYsXHx6tFixYKDQ3V+PHjlZub6xJz7Ngx3XPPPQoJCVHr1q31xBNP6NKlS97cFPipmszRoUOHVjiOPvrooy4xzFF4wurVq3X77bcrLCxMYWFhiomJ0UcffeRc78vjJwUo4EEXLlxQr169tGrVqkrXr1ixQitXrtSaNWuUkZGhpk2batSoUSouLnbGTJw4UYcPH9bWrVv1wQcfaOfOnfrlL3/prU2AH7ve/JSk0aNH6+TJk86vN99802U98xOesmPHDsXHx2vv3r3aunWrHA6H4uLidOHCBWfMnDlz9P7772vjxo3asWOHTpw4oXHjxjnXX758Wffcc49KS0u1Z88ebdiwQevXr9eiRYt8sUnwMzWZo5I0bdo0l+PoihUrnOuYo/CUdu3aadmyZdq3b5+ysrI0bNgwjRkzRocPH5bk4+OnAeAVkszmzZudy2VlZSYyMtI8++yzzrb8/HwTFBRk3nzzTWOMMZ9//rmRZDIzM50xH330kbHZbOb//u//vJY7/F/5+WmMMZMmTTJjxoyp8jXMT3jT6dOnjSSzY8cOY8yV46XdbjcbN250xnzxxRdGkklPTzfGGPO///u/JiAgwJw6dcoZs3r1ahMWFmZKSkq8uwHwe+XnqDHGDBkyxMyaNavK1zBH4U033XST+eMf/+jz4ydnQAEfOXr0qE6dOqURI0Y428LDw3XHHXcoPT1dkpSenq6IiAj179/fGTNixAgFBAQoIyPD6zmj4UlLS1Pr1q3VtWtXTZ8+XWfOnHGuY37CmwoKCiRJzZs3lyTt27dPDofD5RjarVs3dejQweUY2rNnT7Vp08YZM2rUKBUWFjrPAgB1pfwcveqNN95Qy5Yt1aNHDyUmJqqoqMi5jjkKb7h8+bLeeustXbhwQTExMT4/fja+oVcDqLVTp05Jkssv9tXlq+tOnTql1q1bu6xv3Lixmjdv7owBPGX06NEaN26coqOjdeTIEf3617/W3XffrfT0dDVq1Ij5Ca8pKyvT7NmzNWjQIPXo0UPSleNjYGCgIiIiXGLLH0MrO8ZeXQfUlcrmqCRNmDBBHTt2VNu2bXXw4EHNnz9f2dnZevfddyUxR+FZhw4dUkxMjIqLixUaGqrNmzere/fuOnDggE+PnxSgAIBKPfDAA87ve/bsqdtvv12dOnVSWlqahg8f7sPM0NDEx8frs88+065du3ydClCpqubotZ+J79mzp6KiojR8+HAdOXJEnTp18naaaGC6du2qAwcOqKCgQJs2bdKkSZO0Y8cOX6fFTYgAX4mMjJSkCnccy83Nda6LjIzU6dOnXdZfunRJeXl5zhjAW2655Ra1bNlSOTk5kpif8I4ZM2bogw8+UGpqqtq1a+dsj4yMVGlpqfLz813iyx9DKzvGXl0H1IWq5mhl7rjjDklyOY4yR+EpgYGB6ty5s/r166elS5eqV69eevHFF31+/KQABXwkOjpakZGRSklJcbYVFhYqIyNDMTExkqSYmBjl5+dr3759zpjt27errKzM+SYGeMs///lPnTlzRlFRUZKYn/AsY4xmzJihzZs3a/v27YqOjnZZ369fP9ntdpdjaHZ2to4dO+ZyDD106JDLP0q2bt2qsLAwde/e3TsbAr91vTlamQMHDkiSy3GUOQpvKSsrU0lJie+Pnzd0CyMA1Tp37pzZv3+/2b9/v5Fknn/+ebN//37z7bffGmOMWbZsmYmIiDDvvfeeOXjwoBkzZoyJjo42Fy9edPYxevRo06dPH5ORkWF27dplunTpYh588EFfbRL8SHXz89y5c+bxxx836enp5ujRo2bbtm2mb9++pkuXLqa4uNjZB/MTnjJ9+nQTHh5u0tLSzMmTJ51fRUVFzphHH33UdOjQwWzfvt1kZWWZmJgYExMT41x/6dIl06NHDxMXF2cOHDhgkpOTTatWrUxiYqIvNgl+5npzNCcnxyxZssRkZWWZo0ePmvfee8/ccsstZvDgwc4+mKPwlCeffNLs2LHDHD161Bw8eNA8+eSTxmazmb/97W/GGN8ePylAAQ9KTU01kip8TZo0yRhz5VEsCxcuNG3atDFBQUFm+PDhJjs726WPM2fOmAcffNCEhoaasLAwM2XKFHPu3DkfbA38TXXzs6ioyMTFxZlWrVoZu91uOnbsaKZNm+ZyO3ZjmJ/wnMrmpiSzbt06Z8zFixfNY489Zm666SYTEhJifvKTn5iTJ0+69PPNN9+Yu+++2zRp0sS0bNnSzJ071zgcDi9vDfzR9ebosWPHzODBg03z5s1NUFCQ6dy5s3niiSdMQUGBSz/MUXjCww8/bDp27GgCAwNNq1atzPDhw53FpzG+PX7ajDHmxs6hAgAAAABwfXwGFAAAAADgFRSgAAAAAACvoAAFAAAAAHgFBSgAAAAAwCsoQAEAAAAAXkEBCgAAAADwCgpQAAAAAIBXUIACAAAAALyCAhQAUK+lpaXJZrMpPz//hvqZPHmyxo4dWyc51WVfVh577dq1iouL83o+ycnJ6t27t8rKyuq0XwCA51GAAgAsYc2aNWrWrJkuXbrkbDt//rzsdruGDh3qEnu16Dxy5Ih++MMf6uTJkwoPD/doflfHtNlsCggIUHh4uPr06aN58+bp5MmTLrEvvvii1q9f79F8vvnmG9lsNh04cMDrY0tScXGxFi5cqKeeesrjY5U3evRo2e12vfHGG14fGwBwYyhAAQCWEBsbq/PnzysrK8vZ9vHHHysyMlIZGRkqLi52tqempqpDhw7q1KmTAgMDFRkZKZvN5pU8s7OzdeLECWVmZmr+/Pnatm2bevTooUOHDjljwsPDFRERUWUfpaWlHsvvemPXlU2bNiksLEyDBg3y+FiVmTx5slauXOmTsQEAtUcBCgCwhK5duyoqKkppaWnOtrS0NI0ZM0bR0dHau3evS3tsbKzz+2svwV2/fr0iIiK0ZcsW3XbbbQoNDdXo0aNdzlJevnxZCQkJioiIUIsWLTRv3jwZY2qUZ+vWrRUZGalbb71VDzzwgHbv3q1WrVpp+vTpzpjyl50OHTpUM2bM0OzZs9WyZUuNGjVKkvTZZ5/p7rvvVmhoqNq0aaOHHnpI3333nfN1ZWVlWrFihTp37qygoCB16NBBzzzzjCQpOjpaktSnTx/ZbDbnWeLyY5eUlGjmzJlq3bq1goODdddddykzM9NlX9psNqWkpKh///4KCQnRD3/4Q2VnZ1e7H9566y3dd999Lm012a9lZWVaunSpoqOj1aRJE/Xq1UubNm1yifnrX/+qLl26KDg4WLGxsdqwYUOFy6zvu+8+ZWVl6ciRI9XmCQCwFgpQAIBlxMbGKjU11bmcmpqqoUOHasiQIc72ixcvKiMjw1mAVqaoqEi/+93v9Kc//Uk7d+7UsWPH9PjjjzvXP/fcc1q/fr1ee+017dq1S3l5edq8eXOtcm7SpIkeffRR7d69W6dPn64ybsOGDQoMDNTu3bu1Zs0a5efna9iwYerTp4+ysrKUnJys3Nxc/exnP3O+JjExUcuWLdPChQv1+eefKykpSW3atJEkffLJJ5Kkbdu26eTJk3r33XcrHXfevHl65513tGHDBn366afq3LmzRo0apby8PJe4BQsW6LnnnlNWVpYaN26shx9+uNrt3rVrl/r37+/SVpP9unTpUr3++utas2aNDh8+rDlz5ujnP/+5duzYIUk6evSo/uu//ktjx47V3//+dz3yyCNasGBBhfE7dOigNm3a6OOPP642TwCAxRgAACzi1VdfNU2bNjUOh8MUFhaaxo0bm9OnT5ukpCQzePBgY4wxKSkpRpL59ttvjTHGpKamGknm7Nmzxhhj1q1bZySZnJwcZ7+rVq0ybdq0cS5HRUWZFStWOJcdDodp166dGTNmTJW5lR/nWh999JGRZDIyMowxxkyaNMmlryFDhpg+ffq4vOY3v/mNiYuLc2k7fvy4kWSys7NNYWGhCQoKMq+++mql+Rw9etRIMvv373dpv3bs8+fPG7vdbt544w3n+tLSUtO2bVvn9l/drm3btjljPvzwQyPJXLx4sdKxz549aySZnTt3urRfb78WFxebkJAQs2fPHpfXTZ061Tz44IPGGGPmz59vevTo4bJ+wYIFle77Pn36mMWLF1eaIwDAmhr7qO4FAKCCoUOH6sKFC8rMzNTZs2d16623qlWrVhoyZIimTJmi4uJipaWl6ZZbblGHDh2q7CckJESdOnVyLkdFRTnPThYUFOjkyZO64447nOsbN26s/v371/gy3PKuvq66z6H269fPZfnvf/+7UlNTFRoaWiH2yJEjys/PV0lJiYYPH16rnK7243A4XD6nabfbNXDgQH3xxRcusbfffrvz+6ioKEnS6dOnK93PFy9elCQFBwc722qyX3NyclRUVKSRI0e69FdaWqo+ffpIuvIZ2wEDBrisHzhwYKXb16RJExUVFVWx9QAAK6IABQBYRufOndWuXTulpqbq7NmzGjJkiCSpbdu2at++vfbs2aPU1FQNGzas2n7sdrvLss1mq3VxWRNXi7mbb765ypimTZu6LJ8/f1733Xefli9fXiE2KipKX3/9dZ3meD3X7rOrhXRVjzlp0aKFbDabzp4969YY58+flyR9+OGH+sEPfuCyLigoyK2+JCkvL0+tWrVy+3UAAN/hM6AAAEuJjY1VWlqa0tLSXB6/MnjwYH300Uf65JNPqv385/WEh4crKipKGRkZzrZLly5p3759terv4sWL+sMf/qDBgwe7VQz17dtXhw8f1s0336zOnTu7fDVt2lRdunRRkyZNlJKSUunrAwMDJV258U9Vrt4lePfu3c42h8OhzMxMde/evca5VjZ29+7d9fnnnzvbarJfu3fvrqCgIB07dqzCNrdv317SlZtRXXsnZEkuN026qri4WEeOHHGeOQUA1A8UoAAAS4mNjdWuXbt04MAB5xlQSRoyZIheeeUVlZaW3lABKkmzZs3SsmXL9Je//EVffvmlHnvsMZc7rFbn9OnTOnXqlP7xj3/orbfe0qBBg/Tdd99p9erVbuUQHx+vvLw8Pfjgg8rMzNSRI0e0ZcsWTZkyRZcvX1ZwcLDmz5+vefPm6fXXX9eRI0e0d+9erV27VtKVu/E2adLEefOigoKCCmM0bdpU06dP1xNPPKHk5GR9/vnnmjZtmoqKijR16lS38i1v1KhR2rVrl0vb9fZrs2bN9Pjjj2vOnDnasGGDjhw5ok8//VQvvfSSNmzYIEl65JFH9OWXX2r+/Pn66quv9Oc//9n5XNNrL3Heu3evgoKCFBMTc0PbAQDwLi7BBQBYSmxsrC5evKhu3bo57/gqXSlAz50753xcy42YO3euTp48qUmTJikgIEAPP/ywfvKTn1RaxJXXtWtX2Ww2hYaG6pZbblFcXJwSEhIUGRnpVg5t27bV7t27NX/+fMXFxamkpEQdO3bU6NGjFRBw5f/DCxcuVOPGjbVo0SKdOHFCUVFRevTRRyVd+XzlypUrtWTJEi1atEg/+tGPXB5hc9WyZctUVlamhx56SOfOnVP//v21ZcsW3XTTTW7lW97UqVPVv39/FRQUKDw8XFLN9utvfvMbtWrVSkuXLtXXX3+tiIgI9e3bV7/+9a8lXXm8zKZNmzR37ly9+OKLiomJ0YIFCzR9+nSXy3TffPNNTZw4USEhITe0HQAA77IZT34oBgAA+K2f/vSn6tu3rxITEz06zjPPPKM1a9bo+PHjkqTvvvvOeanu1eehAgDqBy7BBQAAtfLss89WehffG/Xyyy8rMzNTX3/9tf70pz/p2Wef1aRJk5zrv/nmG7388ssUnwBQD3EGFAAAWMqcOXP09ttvKy8vTx06dNBDDz2kxMRENW7MJ4cAoL6jAAUAAAAAeAWX4AIAAAAAvIICFAAAAADgFRSgAAAAAACvoAAFAAAAAHgFBSgAAAAAwCsoQAEAAAAAXkEBCgAAAADwCgpQAAAAAIBX/D/4e8cOkap+8QAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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XNruu2jigzYlb01YMBgPHjh0jISHhou6KDQYD6enpLS7f/fjX+O5YiISMjERRzzuoCBthlkc2Gqk88jPRZ9dcMF9aXgnLd2QxyHiQex1+RyPJGGWJ9a5XQtSohhWnbmZ82S8tzveb40S03cYinT9129zy2lB3bT5ZhqLCAjy9vBUd5+X73flKKkKHY5CNGAwyBhmMRiMeWdu5qnqtKd9q+0kU+F8KEqaZaEkC75ztTKmqy/eL42QqQy9DI0loNBIaCUDGmLyeafLGdmvrNvdJG8pc53IlVWHDkQGjDEajjBEZ5zNbmaz71ZTvV8fJlIYMAxnKy8pwc3NF0kg4Z2xlcmVdvt+cJlMdoYxXCZCQkCSwO/03E8rN65UjzfVJgJS2mcvLL/45jDIYUzYyUfdbu7X1H65XIkeMMls6LwOatM1mn+MX+ysoCx2BwShjkGWqDTIGg4xelgnI38W1evPxpY8YgZOdFhcHLU4OWlwc7Ck6+gfDCn405dvhex2Rl14NSMiSBJIG0HBy+w9clvs1WknGIEv8HjyHHhNnU1VVxbvvvssDDzyAg4MDbsnf47ftRSTZiCxpyBv2LKWx1zYyaCyL0WgkOTmZ2NhYm+1TV4MGtelIP7ydOD8tBs8oDK6BjeZzS/oOv23/RsKIjERBv7mUR44D2YAkG0A2gtGAJBtJ2/EjQ899bxqvO32vJnLwlLrCZJCRSd25hksLfjLl2+w+Bdce4zHKMgajjCzLGGWoOrGJsaVrTPk2uF6JJmY01LsFMgLyKfPv6Ea3Kdh3G226VmskCY0kUZ64kVElP5vy/eU5Fc+el2M0GMnNy8XfPwBJo6Ho6B+MKqrTt833eqKGXQOSFiQNcs2rS9p6vPe/a/pNzrv0aUrjb2jYhs383qlhbKhBg5p0nH8NtRVqaA81aOjoOiIiIiwaskWn07Fw4UIWLFjQpjigzbWnOrQBOmrUKAYMGMCSJUtMaR9//DGPPPIIRUVFFzxPp9Oh0+lM74uLiwkPDycnJ8cqBmhiYiLx8fEXHTipqan06NGjRWWHukukPeKGVtOY5SAQCASto6JaplgnU6STKdZBZbXM8AgtUr2nFHqjTNSSUjJKVPmTImhH7u5vzwdXOaHVSBhlmR+O60kvMuLvosHfVcLPRSLIVSLYXTIbM4KLU1EtU1IlU6KDkioZnV5mSKj5985glIkU3zuBoMtx/PhxoqKiLFaeTqdj8eLFzJs3r00GaEBAQLMM0A7tYSYrK4vAQPMnrYGBgRQXF1NRUYGzs3Oj573yyiu88MILDdIXLVqEk5NTu2htKfn5+S0+J9ZX06jxeTLfQFl13XtXe4jxaWj8NjffqYKG+aK9rZ/PlnV3tXwdQWNXy9dU3vJ6eV0ukC+j2EiVQZmp10jgbAf+rg2fvjrbSzjbSwS6NThkwk4j8foER97ZVc32MwaM4n64SzA1zo5lU53Q1BhFGkniugT7Zp9fVGlEZwCDEQyy8mqvhRD3huMwtVAZ17WPzS80rm35HS2vxrR6xNUeIr0a5ssqNaI3glYCrQYcteDpdOHvXYBrg0MmtBqJIw+48le6gW1nDGw9bWBXhqI31F0i1ldD8jmjMFAFgk7Gu+++i4+Pj8XLXbx4cavPraysbHbeDm2AtpYnn3yS+fPnm97XzoDOnz9fNTOgBoOBBx54oEVl25VnI/94NVK96J6ypEGeuRoHlzpDXV9yFvnna5DqLfxrLF/22VQiN96EVqrLp5c1ZF27Cp/gKFNa1tlUItqQL/Par/ELjm5xeZaoO+vaVXgGhHPy5EliYmLIyjnd5vJaky/99Aki/rrN6vU2t0+sWbda+iTz7CkiNt7cKfrk7AXy/TbkI4yugVQZjFTqjVQVnOWxM/eb5TPIEjeWP0mfEHe8svdw7bghOFVmE7h3kdk1BOCWPg7c0scBvaM3paEjKA0dTXnQELRVRdiXnKbaPRy9S+PLM5uLwWAwjQ1LLj/qaBpsqUOqLsMjdS1eJ77DqTC50TxFEVeg80nA4OSFwdGb/JIKeu15qsEYnFD9H7LkupsoN0eIdSzgO/nRBnlXD/gAd78w3By1uDraYyzOJGLHHar5jp5/7crMOU1YI/k2D/8E2S2Ikko9JTo9WZnpvHzuoQbfu2vLnqRa48QgPz3DQ+3p41FKyJ7XzH+7UYzXq+I0XBWnGP6ypKHayR/7imwkQEZD9pAnKep2daN91V509e/J+VRVVfHhhx8ya9Ysmy7Bbao97MqzLXa9bq0Ga9GRdYSHh1t8Ca4lZkAXLlzYrLwd2gANCgoiOzvbLC07OxsPD48Lzn4CODo6Ntq4F0q3JAaDAXt7exwdHZscOPHx8S0sPR7kN2H1IyAbQNIiTV1Ct/7me9EMhu5knn2CkL2vK/tuLpCP+Hg2nXmCEcmvYScZ0csa/o59nDFjJlos37rQB7li5ATztmhueRbSaDAYMBqNykOBnj3b/TM3li8qKoqvdt3CzZUrrVpvs/vESnWrqU+6d+/O70n/x4SMdzptn9x98/Wcz6bPU83yvSzNYq+2N3uzQSNFsv+kC/93+dUEhUUhr34ESTYgSxqkgXeCrgySf8OusgCvk6vxOrkaNPZgrJk+kjQw9U0YMKNBvc3FbGzY0AC1tQar6SjKgPwU8OkGFQWwezkcXAVVpcpxrSOyQWfugV3S4nn9EvAMBaCkQscTH28lVD+Ll+2Wm8bWU/p7uPSSBEbFBxDt70G3IC+8XJVVSJs+z20wXv/v9pvOEzeQTfnm4/qvbo8y1gbf0ZZcu6Zfe41ZcWk5RTz15kFeqtc2T+vvIdvjErLLjRzLh8/ywcdJ4h6XOcwue9+Ub2u3+YwafyWc3gWnd8CZXUhFp3GoqLs3kjAStOsVgobfZuoTa9ClvifNQKfT4ePjQ1xcXLvfa16Mi7bHzg/gl8cB2SLX61ZpsCJCR0PaYgu15LwOvQf0iSee4JdffuHQoUOmtFtvvZX8/PwO74SoTRRlQP5J8Ilp9MfGpCHUA21h2gXz1XLm5HGyTh4mKKY3YTEX3pfa0nz+UQmUVMoXbIvmltdWjY31SXt95gvlq938fcfN15J/Oslq9Z6fr6k+ac+61dYntRrcnSRyU4912T4JiYrjtwNp/HdTCgey6/bOh7lrMZTkEKnJJs0YyF3j+zN7Qh8wVEPaVkj8BY7+BCWZ5oVLWnjkUKtvhK1yDe0AGqyiY++nsPphxTnQ+fjGwuB7oO/NGI/8iLRmHpJsVPp36hLTTetv+1P55+pjZJcpZQRxjihNNqnGQHLwZeP8ERf01N6S8ZqRvJ8/dx/l4UefvuBNkJqvXe+vO8Qn6/cRockm3RjIneP7c+/4XmxNzOTrnalsOFFMWbVyu9ZkGx7+Hr69q2Elw+fB5c/RuIc5y9NlvifNxBJOXixBg/bQlULSWtj/JaSsN8/cxut1szXYCKGjDms7IVLVDGhpaSknTpwwvT916hT79+/Hx8eHiIgInnzySTIyMvj0008BmDNnDu+88w6PP/44d999Nxs2bGDVqlWsWbPGVh9BHXiGNu9i4REK3hFNZguL6dGkAdiafLVfuLaW154arZ0vNCqemPhLbKavqT5pz7pVmy+6B5Hde9lMnxr6ZHL/aMb1DOGfi5dx1rMXm9PKOVNiAHw5a/QFYOH6dCb1rQn7FDNa+Yu/Ej6dZl64bFAekFlxJkbQCooyGjc+4ybBsLkQNdJkyMj97yDJGEGsrxatX3fwDCW/pIKnvtnN2qRiAHydNYyK9uDHo5Bl9EUDFw8TRsvGq39oNGu3JzaZT63XmtkT+jCpbwRJZwuJC/YytcuIhDBGJIRRUVXNqz/tY8XuXLLwJavmeweQdLbQvB3DhyirEs7vuy2LoSgdpiwCZ68mdQs6GbWrGbyi0OjLkQ7/D47/BMnrQH+BvXviei1oJ1RlgO7evZuxY8ea3tfu07zzzjtZsWIFZ8+eNQtNEh0dzZo1a5g3bx5vvvkmYWFhfPjhh0yc2MhSTYFAIBC0CRfdOZbdfRlfb0/hn7+eMjsmA/eu2MHMyyK5ZnAMzo724NtdWcZ1/o1wzjGIHmk94YKWk5/S+MznsAcb7bsMgyepxd4kuLuxa3sS//71BIU6ZcZuaoIn/7p+EN5uTjySU9TAyBIoRAZ4XrBNnB3smTkqnk9255rtvJaAuGAv88yeochTFkP9WekeV8LxX+Dw/5Tlutd/CBFD2+ujCNRGvdUMGqCHpEUj14ub6xMD3S+HXR82/N57hltVqqBroCoDdMyYMVxsRfCKFSsaPWffvn3tqEogEAgE9RmdEIr06ynOv1on5Vfz5M8nePG3FMbGuHPTkChGXLUE6ed5yl5RJMWBytoF4BEMCVNtol/QDKrKGqZJWuVG9TyWrT/CqxuykMkySw920/LS1QmM6xNpSruYkSW4OJEBniwYH8Gr69NNrgYlIK+kokGbNjYrzZnd8L97oCAVPp4EoxfAyH+AVlW3ggJLc95qBgmU67FXBFKfG6HnNRDUR1nRENSnzo9ILdvegSn/sYVyQSdGXHUEAoFA0CLOvxHWADMHB1CpN7L2eD7nKoysSSxmTeJBPBz8calaQpQmm3SjPx+H/0p87lr4Zibc8hXETrD1xxGcj64UfnsKAKOshOjRyxr+7v4Yo9yDySko5cy5Uk7nl3Iso5APdmQ3KGJqD08W3jwEVyfbefvsjNQu1U3MzGfpphQOZOmYt+oAv/3DF2cH8/A3epcAiEqA2j1lYYNg9l/wy2NwcCVsehlOboTrlikrFWqdTYnllp2L3OONrmYwXvU22u5jzBMHzIBu45Vlt4Xp8OMDsGsZhPSD/rdbRW6noL7zNvF9ahRhgAoEAoGgxVxoz9q/DEb+OJTON7vS2XyqhOIqmeJ6e9auOn0b+3vZ4ZryM3x9O9y6StkvKlAPvz0J+SfJkH25S/c4vpoSUo2BZB32xe7pX9E3w3XhtP7hwvhsJ2pnkXtH+DFpyV+kF+l57tvdvHbrsKZPdvKA696H7uPh5/mQvg3eGVyzB7B9PZ8KbMSRHxskyZIGfBuuZgDM/YgUnVEeVPw8HwJ6QuiAdhTaSajvvE18ny5Iw8jHAoFAIBA0g8gATyb0jTRb/qfVapjYL4oP7x3F69c0DCVVjZZtvV+A+CnKTe9XN0P6dmvKFlyMYz/D3k+RkfhH9f0kE852Y0+yUB4g1BqfHg4SMV529Atq6C1RQyP7EgUWJ8THneeujAXgm4P5rDuQ1vyTL5kOc/6CoEtAXwG1C+plo7IEsyjD4noFNiDpd9j3ifK/pNzyy5KWzAGPK44om2LUY4ozOYMOvr4DSnPbUWwnoOgM/PRQ3Yyz+D5dEDEDWg+DwYDBYGg6YxvrqP9qC9SgQehoqMHOzs4qY7ApHfVfu7IONWhQm46WjtE+ET5I0MBpSkywD4aeH6L5+lakkxuRP78e4x0/QEjTT9fV0B5q0NAuOkqy0Pz0f0hAUb/72LG9p9lhCVhxe28GdQvCyaHu9uGDPw7z+sYzpuXYj48LJ8zXzart01WvodcMjmHdkbOsTS7hyR+O0j/KD283p+bp8IyAcc+h/fK8eMCyAUPeCXALapO2Tvs9aYMOq47Rkiw0P9yPBBiH3Ic87P8g/xQGz0gKskrxb66Gae+iWX45Uv4J5G/uxHjbd6C1b/q8i6CmPrGYDkM10o//h+Z87wjN+D6poT0sMT5bcp5q44Bag6VLl7J06VIMBgNJSUls27YNNzc3W8sSCASCTsOaYwW8v6fY5DQl0kPD0mmKV0VJX0nU34/imrcPvb07p4e+ABo7dG7hyv41gfWQZSL/fhT37O1UeMVyYvR/ufPHHPIrlVsEDTB7oAdTErwbPT27REdmcTUhHvYEutsuxmFXpKzKwP/9nEFOucyocEceH918w9GuPIf4X65Hom6PoCxpSJz8P/Ed7MjIRqL+modbzm4qPLtzctwHyNrWfy8di1OJ2TALrb6CvO7Tyer3sAXFdnw0+nLCtz2De/YOZJSHdbXIQNKkr6l2C7OROutRWlrKsGHDmhUHtEsboLXUBk7Nz89vssHaSq2xGxcXZ9Mg6rbWIHSYo9PpWLx4MfPmzbN5gGpbt4VadKhBg5p0tGWMpuUWseFwBi/9kY4MLL+1F2N61bj215Wg+fIGpDO7TD/csqRBnrIYuf8dDcpSQ3uoQYOldUi7lqFZ+wSynRPGWRvYmO3KrK+OYC/By1O7MzDGn0j/xr3XqqE9uvo1dPPRM9z9xWFk4OUpMdwwtFuzdUj7PkOqDdkCGIfej3zFS23WpIZxoSYd1hyj0ta30Kx/HtneBeOsDeAXZzrW6vY4thrtt3cCYLzmfeQ+N7Zan1r6xCI6SnPQrLwZ6ex+ZHsX5H63I+1eXuP5veY3LX4KxhtWgKbxOtTQHpYYn8XFxfj4+DTLABVLcOuh1Wqt1vHWrEvNGoSOurr1er1oCxXqUIMGNehoyxiNCfIhJsiHfacLWZNYzKu/JTG2dwQajQZcvGDq2/DepaanxpJsRFozX/GQewEPgrZuD7VosIiOnOPwx3MASBNeRBvUi4+/2wjA5bEe3HhZw7287aKjDXT1a+jYPpHc1j+Lz/fl8fLvpxgeH9x8HYPuUr5raxfAsZ/QJP8OE14AO8sYSV21Txqr3ypj9Mwe2PhvAKTJr6INTLignhbp6H0NZP8D/noDzc+PgKuvMkba4OnV1n3SZh3nUuDz66HgFLj4It36DVLYQBjxCOSfRKrIh//di5S4Bu3vT8KV/1HC3VhahwWwxPhsyXnCCZFAIBAIrMJT0/rhqIWkc9Ws2pZcd6C8EccWskEJBSBoX/Q6+G6W4hCq++Uw5F5SsgrYml4OwOyxcU0UIFALz1w7kBgvO0qrZeZ9tQejsWHojQviGQpXvwNugUr4iK1vt59QQftRWQz/uxuMeuh1LTSyiqRNjH1auU7oK+CLG+CTqbCkt+L5tatxZg8sv0IxPr0i4Z51EDZQOeYZCtEjoefVcN0HgAS7PoS/F9lUspoQBqhAIBAIrEKorzs39/MHYMmGU1RW6ZUDPt1MHhpNSFrwuUCYAIHl2PBvyDoELr5w9bsgSby/4TgycEmgI/2iA22tUNBMnBzsWHxzf+w1sPdsJT8dK2xhAZ5whTJzxub/KHEgBR0HWYY186EgVXEwddWSi862tQqNFia8eF69XdDTa/I6+OQqKM+D4L4w6w/w7dZ43l7XwKSFyv/r/wX7v7KaTDUjDFCBQCAQWI1/TOmLp6NEVpmB9/84rCR6hiqx0qR6y3dGzBMBvNuTogzY+g5sfUt5P+1tcA+kpELHz8cKALjrskgbChS0hr5RATwwPASAT/aX8PGmo6TlFDW/gD43QuRwZYZr7ZPtpFLQLhz4Cg59o1xHr/8QnL3ap57yvIZpXWXFSlEG/P5P+GI6VJdDt/Fw1xpwa8Jh16Vz4LKHlP9/ehBOrG9/rSpHGKACgUAgsBoeLo7MvkzxBvjh9kwKSiuVAwNmwCOHIHqM8r5MxJtrN/Z+qiyb+/1p5X3EZdBjCgCfbk6kvFom0FXD1YMu8ERfoGoemtSXMHct1TL8e106Yxb9zfvrDjXvZEmq2aemheM/K3EkBeon7wSseVT5f+yTEDG0/erqqitW9nwCi3vB1jcBI4QNgVu/Bkf35p1/+QvKAx6jHlbNgMz97alW9QgDVCAQCARW5d7xvQhx01JSJfPGmgN1BzxDYVTNTdTh/4Gu1DYCOzNFGbD64bpA6QCnd0BRBkajkS93ZwJw04AgtFpxi9AROXOuhIySunh8MvDq+vTmz4QG9oRL71f+//VxqK60vEiB5cg/BV/cCNVlEDUSRsxv3/pMK1bqXR+uWty5V6wUZcDPD2MW1TpjD5TmNL8MjUbZ5hA9CqpK4cvpkL4DTm2G4i60fLkG8esiEAgEAqtib6dl/uXK0/JVB/JIz613Yxw1QnmSXlUKR763kcJOTH6KufEJpuVzv+5LJaPEgJMdzBzduOdMgfpJzCzg/Ph6RiDpbGHzCxmzANyDFQcrW960oDqBRdn7KbzVHwpqlr/GXnHBUB8WZcAMeHAP2Dkp7wM6+fUiP0XZY1uf1iw7tnOAmz6HwN5Qmg0fXQGfTEXzVl+8T622nN4OgAjDUg+DwYDBYGg6YxvrqP9qC9SgQehoqMHOzs4qY7ApHfVfu7IONWhQmw5LjtGrB0az/O80juVV8e+fDvDeXcNNx6R+d6DZ8ALy3k8w9r21gY76r7ZADRparcMrCg0SUj0TRZa0GL0i+Xi14pl4UpwXHs72zS5XDe0hrqF1dA/yUGIPnpe+NTmbcb3DmleInQvS5f9C8/29yH8vwtj7BvCOapEONbSF2nRYdIwWZ6BZ/bD5d/mP5zH2vAY8LjwbabH28IpE6jEVzeFvMB7+H3LIwGafqqY+aZYOryg0QH2XTrXXTVr6Gezd4Ko30SwfbxZ6LGTva1QPuwW8w1tWnoWwxPhsyXmSLJ9v0ncdli5dytKlS00BYLdt24abm5utZQkEAkGX4PDZMhasz0MCFk8KoLufMwB2leeIX3MtkmwgecJn6Dw7+d4iayLLxP88FXud4mhIljRkDnicA14TeGBNNhLw3lVBhHlZJgakwDasOVbA+3uKMYLJGJWAR4Z6Mj7Wq3mFyDJRmx/GLXcPxcHDSR/+WrvpFbQc15w9RG9+qEH6qVFvUxYwwCoa3DP/InLrAqqd/Um88ruGe0M7C0Y9Pb+/HI1cDdRdNwuip7aqODX0XXtQWlrKsGHDKCoqwsPD46J5u/QM6Ny5c5k7dy7FxcV4enoSHx/fZIO1lVpjNy4uzmbBZtWgQegwR6fTsXjxYubNm4ejo+1u/NTQFmrRoQYNatLRHmM0IQF+PrGZv9PK+fxgMV/PrffDmzwJEtfQrXgL8qVTTMlqaA81aGi1jtM70OoKkO2cMd64AgJ6EuQRymufbwNgUIgTE4b1a38dFkZcQ82JizMwKOwQ1Y5edA/y4u11x/jxWBFv7SyiW3gQk/tHN68g/3eQPxiJx9ktJGjTIG5SszWopS3UosPiY9RPg7y54axcRP8xTc6AWqw9YqOR97yEfUUuCe4lEH5ps05TS580W0fWYTRyNbKDK8bpX4BvN4I8QglqbcWhHsh/aZDqbYeQJQ2hl4xCa6MZUEuMz+Li4mbn7dIG6PlotVqrfRGsWZeaNQgddXXr9XrRFirUoQYNatDRXmP0mWmXMOWd7ezOrOSPQ6eZ2C9KOTDwLkhcg+bg1zDhX2Bn/oNo6/ZQi4YW6zi4EgCp93Vo4xVjoqC0gt+SlH24d4+MafVnEtdQcz221hHo7khCQhRarZZFt19G4bLN/JlaxvzvE/FydWJEQjOW4wb1hGFzYcubaH9bAN3Hgb1zi3SooS3UoMPiY/T0NvP3khZp6hK03hHN1tNmHVpXiJ8CB1eiPfYTRA1v+hxLa7AATeo4uwcAKWwI2u5j216hd4TiyGn1IyAbkCUtmQMeI8g7vENfQ1tyXiedKxcIBAJBR6BHqC9TE7wA+Pcvx1m775TirbP7eHAPgYoCJRyEoO1Uldc5dupXt7f2o03HqTRAuIeWiX1F7M/OiFar4f27R9A/yIkqA8z58iAHU5vpwXPU48qMWmE6rH9B8dpZ1PW8dqqOvZ8qr6Mehzt/VsJYDZhhfR29rlVej/wARuNFs3ZYzuxWXsMGW67M2tBjd/6M8aH9rV7O21ERBqhAIBAIbMqCqX2x08DpYgNzvj6qxC1cfxT6365kqL3RErSN42tAVwxekUrsT0BvMPL13iwAbhkUgkYjbgs6K04Odnxy3whifewprZa565M9nMwqbPpERzeY+LLy//b34JOpShxZ8b20HWcPwtn9oLGHobMheqTtwqB0GwuOnlCaBae320ZDe3Nml/JqSQMUlD6LHnnRJdOdFfFLIxAIBAKboqs2oK/34Lw2buGZiKsBCU5uUmLdCdrG/i+U1363KjHpgB92nSCn3IibvcSMkT1sKE5gDTxcHPli9nBC3bXkVxi5Y/l2sgvLmj4xbJD5e9moLB8UM6G2Yd9nymuPK8HVz7Za7ByhR80+/cPf2VZLe1BRAHlJyv/nfw8ErUYYoAKBQCCwKYmZBQ3SjMCxMneIGaMk7Pvcqpo6HUVnFEMeoO/NpuRPtqYDcFVPH9ycHWwgTGBtAjxd+XzWpfg6a8goMXD7B1s4nJ7L7/tTleXvjdFYvMPWxEEUtJ3qCjj4tfK/LZbcNkbtMtyjP4LRtqFVLE6Gsv8Tn27g4mNbLZ0IYYAKBAKBwKbEh3ibeXIE5ccpLtgLBt6pJOz/Agx6KyvrRBxYCcgQNdIUz3HvySwO5ejQSDB7nJj97EpEB3rxycxBuNlLJOdXc9W7O7lv5RFl+fu6Qw1P8OnWMMSGpAUfESLJ6hz7GSqLwDMcYprvECctp0h5yJB7gYcMbSFmDDh5QVkOpG21fPm2pD32fwqEASoQCAQC2xIZ4MmC8RFmRugT4yOIDPCE+CvBxRdKzsKJP2ymsUMjy7D/S+X/es6HPtiUDMBlEa5EB3rZQJjAlvSO8OdfV8WapdUuf28wE+oZqnjtrP8tnbrEdvsOuzL7avbe9rsNNM3zOvr+ukOMWfQ39608wvgl21hzrOGqk1pMhuqFZsMbw84BEq5S/q91dNZZMO3/FMtvLYkIwyIQCAQCmzN7Qh8GRPly4/J9AFw1IEo5YOcIfW+Bbe8oTk+6T7CdyI7K6Z2QnwL2rpAwDYA9KVmsS1Zits0a1c2W6gQ2xM3RvkGaEUg6W6g8AKrPgBngGQGfXQ2SHSR0La+dqiD/pOKFGAn639asU9Jyili4Ph255r0MvLenmH3ZmwjxdMbH1R5/dyd83R3Zm3qOr/bnIys1sGB8BLMn9Gmetl7XKlsljv0Ek18DbScwMYxGMQPaTnSC0WE5DAYDBkP7rl2vLb+961G7BqGjoQY7OzurjMGmdNR/7co61KBBbTrae4wOiAkk2suOU4V6fj+YxoxRCcqBvreh3fYOctJaDDVOT8TYaL4Oad/naABjwjRkO2eW/X6QhRtOm44fz8hnZI+QdtfRnohraOt0dA/yQAKTcQLK0rhuge6Nnxs1Eo1/D6Tc4xiPrkbud2EjqKO1hTV0tHWMSnuV77IcMwajeyg0o5wjp/PM+reW7Wcq4UzlBc+rnQ2f0CeUSH/PC+YzETECjbM3UlkuhlN/QfSoC2ZVU59cVEdeMtrKQmQ7Z4x+PZrV3u2iwwpYYny25DxJluXGxmWXYOnSpSxduhSDwUBSUhLbtm3Dzc3N1rIEAoGgy/LBjhx+Sq5gVLgjj48OMqVHb7wf13MHyeo9m7weKnG80QGQ9JX0+HkaWn0Zp0a9zUnnXsz6MauBwbHs6iAC3R1tJVNgQ9YcK+D9PcXUOqLu5qnlzalhF8zvf2wFgUeWURI4hLSRi60jUgBGPfG/XI99ZR7pl75Icdi4Zp22fGc23yeZG5oScG28MwYjFOmMFOmMZJXqOVvW0CR4cawv/UObd28csmchPqdWkx9zNZkDHm/WOWrGK/UXwna/RJlfX06Nedfi5WeX6MgoqibU075TXH9LS0sZNmwYRUVFeHh4XDRvl54BnTt3LnPnzqW4uBhPT0/i4+ObbLC2UmvsxsXFodU2b+1+Z9QgdJij0+lYvHgx8+bNw9HRdhchNbSFWnSoQYOadFhrjE7SufBT8jEO5lQRHx9vikspVd0HPz1IYMZv5MXfTlx8DzE2mqFDOvQtGn0ZslcEEaNuIfHQaWSyzPIYAb2TNwkJke2mo70R19DW60hIgBtHFrF6bxqLN2eSUmTgYIGWmy6La/yEgPvgyDLccvaQEOEHrv5t1tCeqEVHm8do8u9oK/OQnX0IHTuLULumy9iZnMVPyWkAppluDTB7oAfzrh5q1h5puUWMX7LN7OGUBAzvG9e8GVAAx7vg1Gq8s/7GM34ZaBo3M9TSJ03pkE59CIBz7CgSEhIsWvey9Ud4dUOWabnznEb6xJpY4hpaXFzc7Lxd2gA9H61Wa7WOt2ZdatYgdNTVrdfrRVuoUIcaNKhBh7XG6Nje4dj/7xiFOpmjZwroGx2gHOh9Hax9EqkgFdfcfWh79rJ5v9i6T5ql4+BXAEh9b0VrZ0/6uYYxHzVAj1DfNn8WcQ0119ORdMQE+fDwlT7kllTx+b48Xv79FKN7hhHq694wc0AcBPdDOrsfbeLPMHiWRTS0N7bW0eYxul8JRSX1vQWto0uT2UsqdMz/9hAGGS6LcOGl6/txIquYboHulOdlNtARE+TDgvERvLo+3TQbLgP7Us8RE9TM8CMxY8DZB6n8HNr0rdDt4l56bd0nTerIUPZ/asKHgAV1puUU8eqG02b7ct/fU8yNI0ub39YWxhLX0JacJ7zgCgQCgUA1ODva0ytAefq6/ki9IPcOrtDnBgC8T622hbSOx3mxP3OLynn3r9NmWTTU8zgs6PI8c+1Aor3sKK2WmfflLoxGY+MZe1+vvB7+znriujIl2ZC0Vvl/wB3NOuWxr3ZyttSAj5PEm7cNJTrQmwl9Iy86mzl7Qh82zh/Bslt6c0V35eHDMz8ncSQ9r3k6tXbQU3F01uG94VaVQfYR5X8LOyBKzCxosC/XCCSfLbRoPWpGGKACgUAgUBXDor0B2Hoy3/xATdB1j4w/oeLCYQQENdTG/owcAT7RPPH1Lgp1MiFuWn6dO5Rlt/Rm4/wRzfdyKej0ODnY8cb0vthpYGdGBR9uONJ4xl7XKq9pW6Eoo/E8Astx4Csw6hVDKKDppaBfb0lkbVIxEvDqtb3w92x6xrSWyABPJvSN5O07L6OnvwMVerjvs90Ull3YYZEZtWPj2GowVDe7XtWRuQ9kI3iEgUewRYuOD/FukKYBYoO9LFqPmhEGqEAgEAhUxfheSmzBQ9mVVFbp6w6E9EcO7IPGWIW06RVx43sxzov9+b/tyWw4WarckF7fm4RwP2U2RMx8Cs5jQEwQs4YqDsAWbUrnxNlGHvZ4hUP4pYAMR3+wqr4uhyzDvs+U//s3Pft5KruQf61NAeCWfr5M6Nu6vd2O9nYsu+tSvJ0kMkoMzP1k24VnxOsTOQJc/KAivyZkTAelHeN/RgZ44u9SZ4LV7stt9l7bToAwQAUCgUCgKvpHB+DhIKEzwN/H6xmZkoTsHw+AZveHsKS3EhtU0JB6sT9zw67gxV+TAbjxEh9GJlzYw6lAAPDoVf3p4edApR4e+Wo3BkMjhodpGe7/rCuuq5G+Dc6dUOL49r7uoln1BiP/98UuyqpluvvY89z1bTOeQn3deeumS9BKsCW9nIU/7W36pM6yDLcd438WlFaQV658p16eEsMfjwxjSkLDWdHOjCoN0KVLlxIVFYWTkxNDhw5l586dF82/ZMkS4uPjcXZ2Jjw8nHnz5lFZ2cylAgKBQCBQFVqthgGhypKxTcfqeWwtykA6Um/PmWyE1Y+ImdDG2P+F8trzah7//iiFOplQdy0vtPGGVNA1sNNqWHLLABy0cDinijfXHmiYqefVIGkgYw/kn7K+yK5C7UO23teBYyNOoerx2k97OZxThaMW3rltII72bfc1OjIhjH+MDQdg2fZs1uw52fRJHX0ZrizXmwG1vAG66WgGMhDoquHWkQldauazFtUZoF9//TXz58/nueeeY+/evfTt25eJEyeSk5PTaP4vv/ySBQsW8Nxzz3Hs2DGWL1/O119/zVNPPWVl5QKBQCCwFCO6+wGwI62oLjE/BUk+byZGNkB+M26IuhJV5aaZhz8dRrGxduntdb1xdrS3rTZBh6FHqC8Pj1IMj/e2ZHI4Pdc8g3sgRI1U/j8inBG1C5VFcOQH5f8BF49/vOV4Bst3ZgPw2LhIeoT6WkzGA1dcwqQ4D2Tg8R+Ok5yZf/ETIocr4XkqC+HknxbTYTWKTkNpNmjsIfgSixe/JVmxaQY0M75qZ0R1BuiiRYu49957mTlzJj179uS///0vLi4ufPTRR43m37p1K8OHD+fWW28lKiqKK664gltuuaXJWVOBQCAQqJcJfZQb3xP51eQVlyuJPt2QpfN+tiQt+MRYWZ3KOb4GdMUYPMJ5eKcyY3JTX19GiKW3ghZy/4Te9A92otoIj6zcR7XeYJ5BeMNtXw59C/oK8O9x0Zm4wrJK5n9zEIMMo6JcuXtsT4tLWXz7pcT62FNWLXPvJ7sorai6cGaNVpkhh465DLd29jOoD9g7W7z4PadLALis5kFrV0RVcUCrqqrYs2cPTz75pClNo9Fw+eWXs23btkbPueyyy/j888/ZuXMnQ4YM4eTJk/zyyy/ccceFN2rrdDp0Op3pfW3g1PPT2wODwUB1dTU6nc6mQdRtrUHoMKd23LX3+GsKNbSFWnSoQYOadFh7jAZ5OhHqriWjxMBv+1O5YWg3cPKDia/jsPYxJIzIgH7iaxid/MCK3x219MmFdNjv/QwN8JPhMgp1EqHuWhZc1bvd+k4N7SGuoe2n4/Ub+jLtvzs4kV/Ngq+2Mz4hkO5BnkT6e0C3iTho7JGyD1OVcRDZL75dNLQFtehozRi13/MpGkB/yS0Yqho3+NJyi3ni2wNklxnxc9bw6o39qK6+8LLX1raHBlh6a39u+GAXqUV6Zi3/izuGRhAb7KWMhfOQ4q7CYdeHyMdXU1W+ELQObdZgaS6kQ5u2AztAHzwAg4WvKblF5aQWKs71RsQGoNPpVNEelriGtuRcSZbl80PR2IzMzExCQ0PZunUrw4YNM6U//vjj/Pnnn+zYsaPR89566y0effRRZFlGr9czZ84c3nvvvQvW8/zzz/PCCy80SF+wYAFOTk5t/yACgUAgaDPHXfqw7ZwjQ3yr6FV+0JTuIRcxl09xoJoPuI2zUqANVaqLEPkss/gKCRipW8wZOZAbvdNwrcxt8lyB4ELkuUaxOq9utkYCJvvlE1h2kpvlH4jnJH9yKZuky2wnspMRKOcyh88woGER91EuNQylku0aw695PqaYkiN8yomtONquukqcg/hffpipzvpjoT6SbGQey3CnjD8YzkF6UiJdfA+rWrhb/opwzvI/JnNYajrsTUvId4ngx3MBBLnAZHm3Rcu2NZWVlSxcuJCioiI8PBo+lKiPRQ3Q2qIkSWrV+a0xQDdt2sTNN9/Mv//9b4YOHcqJEyd4+OGHuffee3n22WcbraexGdDw8HBycnKabLC2YjAYSExMJD4+3qYzO7bWIHSYo9PpWLx4MfPmzcPR0dEmGkAdbaEWHWrQoCYdthijq/ec4tGfUghw0fDXE+OAuva45NC/0Z78A/34f2EYMscqempRS5+cr0Nz4AvsfpmPhIwswxP6e5F6Xce/rh9oVR22QFxD21dHanYhE981v1nWAGsfHEJ09u/Yr34Ao083qu/bCjX3gJ21LVpLS8eo9ueHsTv0FYZul6Of/mWD42m5xUx8Zyf1b+Jr+6SxGcla2toeabnFXPGO+Ta3C9Vr/+V1aNL+BkCWNOgnv4Gx722q6ZNGdeh1OCzqhmSoQjdnJ3hHWbTOx77ayU/Hi5naw4P/3DLkwjqsjCWuocXFxQQEBDTLALXIEtxPP/2U119/neRkxc17XFwcjz322EWXwTaGn58fWq2W7Oxss/Ts7GyCgoIaPefZZ5/ljjvuYNasWQD06dOHsrIy7rvvPp5++mk0mobbXB0dHRtt3AulWxKDwYC9vT2Ojo42vbG2tQaho3GsMQYvhlraQg061KBBTTpqseYYvbxvFNrVKeSUG0k7V0ZciI+pPaToEXDyD+wydmLn+LBV9NSilj4x01GaBb/+A6h9EAyv2C+nasL/dYnftVrENbR9dKTlVzRIMwJp58qJ6z0Nfp2PJj8Fx4JECO7bLhpai1p01NKsMbprORz6CgBtynq0R75u4IQoNa+M82eQTH0S5n/BotvaHql5ZQ3SGq23KAPSt5jeSrIR+18fhfiJGNyCVNEnjbZFzkEwVIGLH46BcaYHKpZib4bSfiNiA0zjQE1jtC3X0Jac12YnRIsWLeL+++/nyiuvZNWqVaxatYpJkyYxZ84cFi9e3KKyHBwcGDhwIOvXrzelGY1G1q9fbzYjWp/y8vIGRmZt56lodbFAIBAIWoiXqxPxfsq+oT8OnTE7JkfU/CakbYHmBEfv7OSnKGFp6qHFiHNpuo0ECToT8SHenH8brgHigr2U0CBxE5VEERO07RRlwJp/1EuQGw03FeTdcEmuqU/akcbGgtRYvfkpSjiT+nQEr+X1w69Y2PjMzC/hTIniyGts767tFK7NBujbb7/Ne++9x6uvvsq0adOYNm0ar732Gu+++y5vvfVWi8ubP38+y5Yt45NPPuHYsWPcf//9lJWVMXPmTABmzJhh5qRo6tSpvPfee6xcuZJTp06xbt06nn32WaZOnWrzpwgCgUAgaBuXRnkBsCXlnPmB4H5g7wIVBZB73Oq61MYZOQCjbH6zpJc1nJEvPBMiEDSXyABPFoyPMDM8HhsXTmRATfzC+t5wxcP/tpGfAufPbTZiuP1xyNwg1QBPjI+o65N2onYs1DcgNBLozveQ7NNNiRNbn47gtdxkgFo+ZvKGw8qD1ChPOwI8XS1efkeizUtwz549y2WXNdx0ftlll3H27NkWl3fTTTeRm5vLP//5T7KysujXrx9r164lMFBxMpGenm424/nMM88gSRLPPPMMGRkZ+Pv7M3XqVF566aXWfyiBQCAQqIKxPYP5aFcO+89WoDcY626AtfYQPgROblJmQQMtH3agI3G02InTxh4M0x4DFOPzKf09TChxpms/ZxdYitkT+jC2ZwjT3t1OpQFC6s/AxV4BDm5K/MQzu5TvpqB1NGagnWe4VesNfLU3C4A5lwYxMNqPuGCvdjc+a5k9oQ+T+kaQmJnPG78nk5hfzeOr9vLdQ+Pq7tE9Q2Hqm/DTQ5gM6qlLlHSD4UJF254zNXudLxL2prVsTckDYGB4x3DG1J60eQa0e/furFq1qkH6119/TWxsbKvKfPDBB0lLS0On07Fjxw6GDh1qOrZp0yZWrFhhem9nZ8dzzz3HiRMnqKioID09naVLl+Ll5dWqugUCgUCgHi6NDcbFDsqqZXYkn/dQM3KE8pq2peGJXYz4EG88JSVe6qLq6xmhe5NvDWPbfTmeoGsRF+rLlT28Afh61+m6A/bO0GOK8r9Yhts2KovN30vaOsOthv/tOEFuuRF3B4n/m9SHCX0jrWZ81hIZ4MkV/aJZfMsA7DWwP0vHik3HzDMNmAG3fq387+gO/W63qsYWU5IFRemABKEDLF783jPK/s/hsWJlSptnQF944QVuuukmNm/ezPDhwwHYsmUL69evb9QwFQgEAoGgudjbaekb7MK20+VsPJrJpbH1HNJF1qy+SduqLPuz8H6djkSkh4RBoxgEKw3jyMPbKsvxBF2P24fH8N2RPew4XU5mfgkhPjWzOb2vh4Nfw5HvYeLLthXZkTm5UXmNHA5jnlRmPusZnwAfb00D4Jrevrg6OZxfglXpGe7HzCGBfLA9m0Ub05jcL5JgH7e6DN3GKdsldCWQlwgBlg1rYlFqZz8DeioGswU5lV1IVpkBCRjbS6xLafMM6PXXX8+OHTvw8/Pjhx9+4IcffsDPz4+dO3dy7bXXWkKjQCAQCLoww7v5ALDtVKH5gdCBoHWE0mz1O7ZobzL2oMXIaaM/lyVEsXH+CGZP6GNrVYJOyICYIGJ97DHI8PnfyXUHYsaCk5fyfRSrElpPygblNf5KiB7ZwPjcfOQ0ieeqsdPAnPHq2Hrwjyn9iPK0o7Ra5slv9pgf1Nor12qA0w3DKaqKdtz/ufGIsme3m4893m7OFi+/o2GRMCwDBw7k888/t0RRNsVgMGBo53XpteW3dz1q1yB0NNRgZ2dnlTHYlI76r11Zhxo0qE2HrcbouJ4h/GfTGY7nVVFQWm7Sg9YeTehApPStGE9tRvaKsooeNfVJ7auUvh0NsEeOZfIlIYT5ullNnxraQ1xDravjur5BvLrxND8eymHe5Gpl35+kRUqYimbfZxgPfYsh9NJ21dBc1NQnTY5RvQ5N6hYkwBA1utG9kh9sPgHA2Bg3grxcWvy52qM97DQSL13Tk9s/OcimU6X8sCOZqYPq9qxKYUPQpP6FMX07cr87VNUn9V81Z3YhAcbQgcgW1ratZv/noHD3Bp9bDe1hiWtoS86T5FbEKikuLjYFGC0uLr5o3qYCkdqSpUuXsnTpUgwGA0lJSWzbtg03N7emTxQIBAKB1TAajdz9/RnyKmSeHunNsMi635WAwx8QcPwTCiImkTHkWRuqtC1hf87DK3cnz1bfxcRr7sLL2d7WkgSdmFKdnhnfZVBlgJfH+XJJiHLv5Jq9m+i/HkZv78bpS19E5x6F3iXAxmo7Dq45e4je/BDVTr4kTvmxwbaCzCIds1dnIQNLJgXQ3U9dM2nvbc9mzYlKfJ0k3p0WiquDEo3C7ew2orY8is4tnORJK22s8gIY9fT8cSIaQyXJV3yOziPackUbjcz8/gznKmSeHeXD0IjO6YSotLSUYcOGUVRU1KT916oZUG9vb86ePUtAQABeXl5Ijey7kWUZSZJs/nTjYsydO5e5c+dSXFyMp6cn8fHx7W4w1xq7cXFxNgsTowYNQoc5Op2OxYsXM2/ePJsHUbd1W6hFhxo0qEmHrcfo4N2F/JpUwtF8mWGR1LWH4zQ4/gleRUfwSLDO3iK19IlJR2x3ND8cBSDZPp7nB1xiGx3iGqqKtrCWjtH7ilh3opSN6TpuGl/jMTQ+DnnHM9hVlRD91zxkNBiufANp4J3toqE5qKVPmjNGpUzFd4o29nISejZcXvvxVzuQgX5Bjkwd2TonOe3ZHi9FdWPnok3klhv56nApb9ymzIITFQxbHsWx9DQJEf4YnLxV0SdmbZF7FI2hEtnRnZghkxqGkGkDyWcLOFdxGq0E14/qh7uz+b5dNYxRS1xDm5qUrE+rDNANGzbg46Psydm4cWNrilAlWq3Wah1vzbrUrEHoqKtbr9eLtlChDjVoUIMOW4/RUXGB/JpUwu7TJdzT37NOR+Qw0NghFZ1GW5IBXhFW02TrPjHpOJeMVl9KqeyEwae7Ta9j4hpap6ez67htWAzrThzkz1OlFFdU4+3mBKVZUFVqyiNhRPvro0jxExvsZbQ2tu6TZo3RU5sA0HQfD+flKSitZM3xAgDuGRHd5s/SHu3h5ebM81PimfvNMX48Wsj1SWcZmRAGbr7g3wNyj6PN3A2xk9pNQ2vQarVoM5W9q1LoILR2ll1B8ucxxYN7rK8DXhfZ/9nRr6EtOa9V5v3o0aOxs1Ns1+joaEaNGsXo0aPN/kaNGkV0tOWmrwUCgUDQdRnfJwwJOF1sILe0uu6AgysE91P+T9tqC2k2RzqzE4D9xm50C1DvthdB52JUQiih7lqqDPD1thpnRPkpmGI+1iDJBuEkrDmU5cHZA8r/MWMaHP5o0zEq9RDmrmXKAPXeX08ZGMPl3dyQgae+P0xllV45EF4TUlGtjojaMf7ntpP5AAyOENfnWto8vxwdHU1ubm6D9Pz8fGGACgQCgcAiBHi6EuOtPJXem1FmftAUjqWLet6sMUD3yHEkBIsbHIF10Gg0XN1H2d/5v301MXp9ujVYuihLWiWUiODinNykvAb2BvdAs0PVegNf7ckC4PYhoYrTJxXz8vRBeDhInC428Ow3O/l9fyp5XjVbA07vtK24C2HygGtZA9RoNLI/U/nNGhkX2ETurkObR3DtXs/zKS0txcnJqa3FCwQCgUAAwNAa50P7zlaYH4gaobymdk0DVKqZUdhrjKNPhI+N1Qi6EneMiEMrQXJ+NXtPZinLbKe+CSj3hTIS8pRFNl9+2yFIqdnS1sjs57fbT5BXYcTdQeKOkfHW1dUKAjxdeXR8FADfHCrgvpVHmP5rzcGMvaDX2Uxbo1QUwLmaWXwLh2A5euYchToZew2MTBDfg1paHYZl/vz5AEiSxLPPPouLi4vpmMFgYMeOHfTr16/NAgUCgUAgABjTI4gv95/jUG41RqOxbr9J+FBAUpb/lWSBe5BNdVoTbWUBUsEpAA7I3ekZ5mdjRYKuRLCPG0PDXdiaXs7nW04yICYIBswAoxF+fpgq50Ds+t1ua5nqR5bhZI0B2m1cg8Mfb0sD4Lo+frg6OTQ4rkZG9giGX0+Z3p+Ugzgnu+NrKIGsg4CKok5k1MQu9ekGLpZ9iLfxSCYAPfwccXYU3slrafUM6L59+9i3bx+yLHPo0CHT+3379nH8+HH69u3LihUrLChVIBAIBF2ZkT1DcdBCkU7mQFpe3QFnLwjqo/zfxZbhuuQfBiDRGIaHhydODhYJ7y0QNJubB4cD8HtSIRVVNfuz+9yArHXAsSIL8hJtqK6DkJcExRmgdazbUlDD5iOnSTpXjZ0GZo+3jqdvS5B8tui8FIm9xjjlvzPqWoYrZbTf/s/tp5T9n0OiPC1edkem1b9Utd5vZ86cyZtvvqnqeJ8CgUAg6Pg4O9jTO8CJvWcr2Xg0k0Hdg+sORg5XnqqnbYXe19tOpJVxyTsEwB5jLN18xbYXgfW5ckAMz/+STH6Fke92nOC2kQng6AbRo+DEH0hJayGol61lqpva5beRw8De3Evq+3+eAGB8N3dCfDpO/Mj4EG8kzF1S7THGMkG7R9k24NlwptdW1Bmgll1+azAYOVCzZWRkfNdZmdMc2rwH9OOPPxbGp0AgEAiswrBoLwB+O5ZHWk69J+wmR0RdyxOuyznFAN0rxxEXoKIlbYIug51Ww5QEZdniN3syTOly3GQApKRfGz1PUI+UDcprzFiz5OTMfLamlwNw/zj17/2sT2SAJwvGR5gZGrtrZkA5vVNZdqwGZGOdAyKvSIsWvT81h9JqGUctXBob3PQJXQiLrNXZvXs3q1atIj09naqqKrNj3333nSWqsAoGgwGDwdDuddR/tQVq0CB0NNRgZ2dnlTHYlI76r11Zhxo0qE2HGsZoSaWyxO9EgZ4xi/7miXHh3Du+F4QNRQuQcxRDSQ64+LabBtX0SVUFzgXHAdhjjOPhEA+baFJDe6hlfKqhLWyh4/bLuvHZ3jwOZOlIysijW5A3hpjLcQA4sxtD0VlwC7CKlvNRU580OkYNVWhS/0YCDNFjoN6x99YfQwb6BTnSJ8LPIp/Bmu0xa1xPJvQJJflsIUfOFPDBliqqZC0OZTloSzMwGGxrVBsMBvyOfYqkKwFA/uom5CmLkfvfYZHyNx1V9n/29HfEXitdsM3VMEYtcQ1tyXmSLLftEcTKlSuZMWMGEydO5Pfff+eKK64gKSmJ7Oxsrr32Wj7++OO2FN+uLF26lKVLl2IwGEhKSmLbtm24uYknyAKBQKBGskt0zPoxy2xJlwZYdnUQge6OdP/9NpyKU0kb9goloaNsJdNqOJ87QreN93FOdmeg7r98dHUIAe4dw0GJoPOxYG0Gh/P03NDDhbsG+QPQbf3dOBckcmbgkxRGX2VjherEJXcfMX8+iN7Ri+NXrTaFsSmp1DPzhwwq9fDsKB+GRnSc5bcX4tfjBVx+8BH6a06wwvthBoy9waYhZezKc4j/5Tqker8qsqQhcfL/0Lu0/YHJc39ksiermtt7u3Jzv87vIK60tJRhw4ZRVFTU5OrYNs+AvvzyyyxevJi5c+fi7u7Om2++SXR0NLNnzyY4WN3TzXPnzmXu3LkUFxfj6elJfHx8uy8nrjV24+Li6jw4Whk1aBA6zNHpdCxevJh58+bh6OhoEw2gjrZQiw41aFCTDjWM0TMH05DJMkszAnonbxISIpFOjYU9HxNuTEdOaD9nHWrpE3mbsmxvrzEOV3sNIwf1scnNnBraQw3jE9TRFrbScdM5DYd/PcXGtEpeujUeCZmCoyNwLkgktOQAwQmPWUXH+ailTy40RqUsZaWgJvZyEnrW7ZV9/ttdVOohyFXDjAmDLPbdtmV7JCTAoXMD4ewJtLlH+OLwJP5942CbGaHGlBwz4xNAko3E+mohqm2/IXqDkWMrFe/FkwZ2IyEu5IJ51TBGLXENLS4ubnbeNhugKSkpTJkyBQAHBwfKysqQJIl58+Yxbtw4XnjhhbZWYTW0Wq3VOt6adalZg9BRV7derxdtoUIdatCgBh1qGKMJob4NnFpogB6hvoqmqBGw52M06VvBChpt3SdyhrJvaY8xligfe+ztbeviX1xDzfV0NR03XBrLwj9SOVdh5PeD6VzZP4qSkBEEHl2OdHIjWmNVAwc71sTWfXLBMVoTfkXTbZzpuvXu7wf5bN85ALLLjHy06TizJ/SxuB5btEe/kVNg1dcM1CTz7MECHOz28uL0oVbXAYB/d2Rqo9bWIGnR+nVv82/IrhPZlOvBxQ6GxoY0q607+jW0Jee1+ZGDt7c3JSXK2unQ0FAOH1ZcwhcWFlJeXt7W4gUCgUAgABSnFk+MCze7WfjHmDAiA2rc29c6Iso6BJXnhwDoZMiy4sgDZf9nrL9LEycIBO2Ls6M9V8Qp38WVO9MBqPSMRfYIBX0FnPzTlvLUSXk+ZO5T/u+mOCBKyyni9Q2nTVlk4NX16eZO1zoy4Yqx2UNzGjfK+WxvHv/63y7baHH1R5bqGU2SFqYuAc/QNhf95/GzAPQOdMbezvYPo9RGmw3QUaNGsW7dOgBuvPFGHn74Ye69915uueUWxo8f32aBAoFAIBDUcu/4XiybFoRrzWRfQqhX3UGPEPCOVrwanlZXnDmLU5iOVJqFHi0H5Rh6BAtv9ALbc/tl3QDYll7Ot9uSyS6tMnnDJfEXGypTKaf+BGTw76Fcv4BjGfmc75zFCCSdLbSyuHbCPQjZKxINRp7tpcTI/GhXDk+u3Mbv+1Ota2jnHEUjG5AdPeDO1fDIIRgwwyJF70gtBODSaG+LlNfZaLMB+s4773DzzTcD8PTTTzN//nyys7O5/vrrWb58eZsFCgQCgUBQnyAPR/qHKDN+W5JzzA9GDVdeU/+2siorU2NgH5Oj0OFA7zBxkyOwPQO7BeHvLGEEnvg5hVk/ZvFLec1euqS1YDTaVJ/qqI3/2a0uJmZiVkMDTAPEBXtZR5MVkMOGAHBjaB73XRoIwFf787lv5RHGLPqb99cdsooOqXb2OXSAErfWAjOfALpqPUdyKgEYlaBufzi2os0GqI+PDyEhylMbjUbDggUL+Omnn3jjjTdwchJBsQUCgUBgeQZHegGwO+28m7XIGgO0s8cDPb0DgJ2GOCTgkkh/2+oRCFCWj+ZV1PMoCszf60e11hVKs+uWmwqUZfS1BmhN/E+9wciqvYqjtdqtBhrgifERdVsNOgPhigEqndnJbZfFmh2y6pLjmvEoBw+waLHbk86iM4CbvUT/KNuEH1I77eJ2SqfTsWjRIqKjo9ujeIFAIBB0cUbEBQFwLE+Hrlpfd6B2H2jmXqjqxH4IagzQPcZYAlw1eLjYzvOrQFBLYmZBg+WjVdjzW1VvANZ/9wHbkzIx1syEpuUUWX/ZpVrIPwlF6aCxN63c+PLv42SUGHC1l/jx/sEsu6U3G+ePsLgDIlsjh9U4HTqzm8SMvAbHrbXkWDq7X9ET0s+i5f6VqDxE6BvsjFZruzAzaqbVXnB1Oh3PP/8869atw8HBgccff5xrrrmGjz/+mKeffhqtVsu8efMsqVUgEAgEAgD6RPjhZi9RWi2zI+kso3qFKwe8IsEjDIrPwJmdEDPGpjrbBV0pZCsO//YaY4nxEcanQB3Eh3g38FQN8Kc8kKvYQUjeFiZ/tI9AVw3hng7syaw0eSFdMD6i0xlaFyVFCaNExKXg4IreYOS/fynOm27p788lkQEQaUN97UlAAgY7Z7RVpfR2zGkwZiSssOS4qhxyjin/h/S3aNF/pxQA0CPIzaLldiZabZb/85//5L333iMqKorU1FRuvPFG7rvvPhYvXsyiRYtITU3liSeesKRWgUAgEAgA0Go19AlSQjr8nZxdd0CS6mZBO+sy3Iw9IBs5p/UnC19i/V1trUggABRP1QvGR5huLjXAgnHh/OvReRglLQma08RocsguM7K7xviETujptTmY9n8qy28//+s4maUG3Owl5l7RyQ1xjZYKHyXmaUjZEbMxAxDspm3/JcfZh5FkA9WOPuB+4RidLeWdtQc4fq4agI925lhtP2tHo9UzoN988w2ffvop06ZN4/Dhw1xyySXo9XoOHDiAJElNF6BCDAYDBoOh3euo/2oL1KBB6Giowc7OzipjsCkd9V+7sg41aFCbDrWN0UERnmw7Xc7utCIzTVLEMDSHViGnbsHYDlpt3SdS+nY0wH7iAOgR5K6aPrGlBrWNT1tiSx2zxvVkQp9QkjILsNcVMnJgD7RaLVLEpZC2hZ8nlvByVgKf18S5rMUIHM84R5ivZWeN1NQnpjFaVYnm1J9IgCFqNNW6Kt7/Kw1QZj89nO3bTa8a2sNgMFDuewluObsxpu9g1jUzmdAnlC3Hz/Lc2lQySw1sPJTGqJ5h7aZBOrMbDVDhk4CT0QgWaI+03CLe2HTG9L72wcqEPqFE+l/YoFZLn7T1GtqS8yRZls9fKdEsHBwcOHXqFKGhiscoZ2dndu7cSZ8+HeepzdKlS1m6dCkGg4GkpCS2bduGm5uYLhcIBIKOQFJuOfN/y8XJDlbeGI5dzV4bh5I04n67FaPGgWNX/4asdbCxUssS+fc/cM/azgv6O/lYP5H3rgok3Es4/ROoG9+klQQffJvSgEHs6P8as37MMlt2qQGWXR1EoHvnX1LukneAmE0PoHfw5PjU1fyWVMLbu4pws5dYfm0org6dP26kW9YOov6eT5VrCEmTvzGlL/oriw1pOvoG2PHSFZbxStsYoTtfxDt9Ldk97yG3590WKXNnejH/2lzQIP3Fsb70D+389kVpaSnDhg2jqKgID4+LhwZr9QyowWDAwaHuR93Ozq7DGW9z585l7ty5FBcX4+npSXx8fJMN1lZqjd24uDi0WttcYNSgQegwR6fTsXjxYubNm4ejo+1+fNXQFmrRoQYNatKhxjEaGyfxzIbfKa+GMgdvLo2rWUYl90D+OwBNWQ49PCogom+7abB6n8hGND8r+5Z2GuJw0MLogb1xdLC3ro56qGGMqnF8dvXrRgMNATPg4Nu45u1nzCXRPFFiz6sbTpuM0MfHhTFmSO/212Ej6o9Rp+wfANB0H0v3uARm/bAegNsGBjCor+XboD5qaA+DwcCJ6jJkJBzKMkkI8wZ3xbHc415BbFq6gwM5eoq0nnXXdQuj2ZgCQIV3D4u1xeoTDb08a4DhfeOanAG1dZ9Y4hpaXFzc7LytNkBlWeauu+4yiaysrGTOnDm4uprvRfnuu+9aW4XV0Wq1Vut4a9alZg1CR13der1etIUKdahBgxp0qHWM9g5wZmdGBVuTcxmeEF6XIfIyOPoD2tPbIHp4u2qwKjnJUFmEXuPEcTmCSDctjg72quoTW9WtxvFpa9Sgw6QhIA784pHyEtGe3MCcK25gZI8QrvnvDqqN0CPUp1212rot6o9RzalNAGi6j+eLLclklRlxd1D2fnaV+1CjvSsE9IScI2gz90DPaQD0CPNjXIwbf6SU8vb6ZPPruqWoLIZzJwCo8E6wSFuUVVaxar8Sl7rWqVJtCJ2YIJ9mldHRr6EtOa/VTojuvPNOAgIC8PT0xNPTk9tvv52QkBDT+9o/gUAgEAjai0E18UB3pRWaH6iNB3r8ZyjKsKqmduX0dgDSneIxoCXSq9XPkQUC6xM/WXlN/BWAXhF+jI52B2DVzlQbibIylUWKIzGgOnI0H2xRPN/eNjCwy4VTkmvigdaGlarlkYk9kYDtZyrYk5Jl+YrPHgBkZM8wDE7eFinynd8OUVAp4+es4bf/u7TThtCxFK3+5fr4448tqUMgEAgEghYzIi6Qd7ee5XBOJXqD0bQPlPIaByeZ+2BJb5j6JgyYYTuhluL0TgD2y0rw9igv2y29FQhaTPxk2LIEkteBoRq09tw4OII/Uo6w6WQJFbpqnB0795jWpP0FshF8Y/lkfwnZZUY8HCTmXtG+S29VSdhQ2PNxAwO0d4Q/I6Nc2ZxaxpLfj/PZ/UGWrTezZqlscD+LFJdfUsGnuxVv7HNGhBMX6ktcqK9Fyu6siOioAoFAIOiwDO4ehJMdlFfL7D+lLH+iKAM2v1aXSTbC6kc6x0xozY3a5spuAER7d60ZE0EHJ2wwuPiCrsgUJunyPhH4Omsor5b5cfdJGwtsfzSn/gTAED2aD7acBuD2QUG4O3e977JpBjRzP1RXmh175IoeAPydVsbB1BzLVpy5V6k/ZIBFilv0y0HKqmXC3LXcNaanRcrs7AgDVCAQCAQdFns7LT39FQ+wmxPPKon5KYrRWR/ZAPkd/Oa27Jxp39LGCsUAjfHpejetgg6MRgtxk5T/a5bharUaJsYryyC/29sJHhI1gSblDwA2F/qTU67Mft4/oZeNVdkIr0hwDQBjdd2sZA0DYoK4NNwZGVjy+zHL1ltTl2yBGdDM/BJWHcwD4OFxMXWrcAQXRZWttHTpUqKionBycmLo0KHs3LnzovkLCwuZO3cuwcHBODo6EhcXxy+//GIltQKBQCCwJYMiFX8Du1ILlQSfbiCd9/MmacEnxrrCLM0Z5bewzD2GItzwdpLwcuncyxUFnRDTPtBfoCYS4M2XKt/NPZkVnM0vtZWydme4vBOpWDGyR51YyHTtRu4Y3DVnPwGQJIgYqvx/3jJcgEcmKLOgG0+WkphxrsHxVlGeDwWpyv8WMEBf/fkgVQaI9bHn+qHd21xeV0F1BujXX3/N/Pnzee6559i7dy99+/Zl4sSJ5OQ0Pv1eVVXFhAkTSE1N5dtvvyUxMZFly5aZ4pMKBAKBoHMzIjYQgENZFRgMRvAMVfZ81jdCpy5R0jsyNTdoac4JAER5da74poIuQsxY0DpCYRrkHgfgkqgAuvvYY5Bh5bZkGwtsJ4ozGc/fprdaZF6xW84DQ5rnIbXTEn5hA/TSuBAGhjghA4vXHrVMfbUzrT4x4OzVpqKSM/P5+VghAI9dEYdGozqzSrW0uaXKysosocPEokWLuPfee5k5cyY9e/bkv//9Ly4uLnz00UeN5v/oo4/Iz8/nhx9+YPjw4URFRTF69Gj69rVs3DeBQCAQqJOhccE4aKG0WuZQeq6SOGAGzKm72SNhmm3EWZIaB0T7jIoDolh/F1uqEQhah6MbxIxW/k+sW602tXcAAD8ftvB+P5UgFZxEOi9NKxlxLT9tEz2qob4BKssNDj88Pg6AdSeKSckqaHt9Nfs/Cenf5qIWrjmEQYZ+QY5c0S+qzeV1Jdrsvz0wMJDp06dz9913M2LEiDaVVVVVxZ49e3jyySdNaRqNhssvv5xt27Y1es5PP/3EsGHDmDt3Lj/++CP+/v7ceuutPPHEExeMR6PT6dDpdKb3tYFTz09vDwwGA9XV1eh0OpsGALa1BqHDnNpx197jrynU0BZq0aEGDWrSofYxmuDnyIFsHZuOZpAQ4qUkenXHwSsSqTCNqrSdyNGj21VDu2KoxiFjDxKwqTwagLgAV1WMDTWMUbWPz66o42IaNN0mYJ/8O8Zja6ge8iAA1w2K5K2/Mkgp0LM7KYM+kX7trsOaVLmGYQ9mRqgsaalyCwMrjls1tIeZBp8eOGgdkcrPUZV1HPm8rRJDuwdwSaADB7OrWLz2MG/cMqRNddud2YMW0AdeQpVO1+q2OJCWy4YUZbn4PybEtunao4Y+scQ1tCXnSrLcyOOGFvDDDz+wYsUKfvnlF6Kiorj77ruZMWMGISEhLS4rMzOT0NBQtm7dyrBhw0zpjz/+OH/++Sc7djScnu/RowepqancdtttPPDAA5w4cYIHHniAhx56iOeee67Rep5//nleeOGFBukLFizAycmpxboFAoFAYFtSXRPYmOfKJd56BlbuN6VfL6+hN4n8wQi2SG27cbElIXIW9/Il5TgxUL+cCr3EzV4ncdbl21qaQNBi3OUS5rMMGVjFVWQQTInkzk7H/hwp1DLSr4LuZUdsLdOimD6zrGx91MsaVjrdTEqVhUOMdEBmyiuJIJMfmMgBqaFDphLnYL7ND8VOAze7HsVeX97quubJH+BBKR8znXQprNXl1I7VS7z0DNTtb3U5nYnKykoWLlxIUVERHh4eF83bZgO0ltzcXD777DNWrFjBsWPHmDhxInfffTfTpk3Dzq55E62tMUDj4uKorKzk1KlTpqcGixYt4vXXX+fs2bON1tPYDGh4eDg5OTlNNlhbMRgMJCYmEh8fb9MnT7bWIHSYo9PpWLx4MfPmzcPR0XbOCNTQFmrRoQYNatKh9jH659EM7vv6GB4OEjueHGvai6PdsRS7DS9giJ+C/jrLxK+2RZ9od32A3R/PUBo+lt7J96KVYNcTI0k7lWLzsaGGMar28dkVdTSlwX7pQDTFyvJTWdKgn/wGqyov5elfTuHjpOGvx8dYxKOoGtoCIGfrZ4T/+Q+OG8N4Xn8XqcZAcvBl7YNDiPRv33vP+qihPc7XoN3wAnY7lmLodwf6yW80yG80Grlu6V8cy6vm2p6eLLxpcOsqLs3G8e0+yEhU/SMFg9a5VW3x9/FM7vnqKBoJvpvVn4SwtsX8VEOfWOIaWlxcTEBAQLMM0DYvwa3F39+f+fPnM3/+fN5++20ee+wxfvnlF/z8/JgzZw4LFizAxeXi+1X8/PzQarVkZ2ebpWdnZxMU1PgTouDgYOzt7c2XYiUkkJWVRVVVFQ4ODZ00ODo6Ntq4F0q3JAaDAXt7exwdHW36xbe1BqGjcawxBi+GWtpCDTrUoEFNOmpR6xgd2Ssce80xiqtkUnJL6R3hrxyIUGY9tWcPoLWQbpv0SbqynzXDLgKAUHc7PN1dVTE21DRG1To+u6KOi2ooyoDiM6a3kmzE/tdHuW7uPl5aJ5FfaeSvxCwm9Y9uXx1WpDptFwA7jAlsN9bFikw7V05cmL/VdKihPRpoiB4OO5aiPfUn2sq8Rh3GPTi2O3O/Ocaa40U8XlZNsI9byytOVWbVJf94HN19TTqyiis5kVVMfIg3kQGeFy3CaDSy6A8lHNYVsR7069byFZ/no4Y+qaUt19CWnGcxd03Z2dm89tpr9OzZkwULFnDDDTewfv163njjDb777juuueaaJstwcHBg4MCBrF+/3pRmNBpZv3692YxofYYPH86JEycwGutiviUlJREcHNyo8SkQCASCzoezgz3xfso1f/OxeqtfgvsCknKzW9pBnZvs/RSS1gIQe+pTpms3EuPbRcM2CDoH+SnAeQvwZAPOJemM66bMnHy7O936utoR11zF++oeY7wpTQPEBXvZRpCaqA2LUpQOS3or17zzmNw/iu4+9lQZYcGq3aTlFLW8nloPuCEDTElrjhUwfsk27lt5hDGL/ub9dYcuWsSavac4kluFvQaevOqSlmsQABYwQL/77jumTp1KeHg4X375JQ888AAZGRl8/vnnjB07ljvuuIMff/yRTZs2Nau8+fPns2zZMj755BOOHTvG/fffT1lZGTNnzgRgxowZZk6K7r//fvLz83n44YdJSkpizZo1vPzyy8ydO7etH00gEAgEHYiB4cqT652p9fZFOrqDf80N33mBzjsERRmw+mHTWw0yL9stZ6B3hQ1FCQRt5CKxeqcPjgTgr9RSistt61TKUhgrS/ArU8LL7DEqXl01wBPjI5qccev0FGXA78/UvZeNsPoRJb0eGo2GXkHKSso/U8uaZSw2IMPcA25abhH/3VNsehQiA6+uT7+gcWsw1M1+XtPLR/RdG2jzEtyZM2dy8803s2XLFgYPbnxNdkhICE8//XSzyrvpppvIzc3ln//8J1lZWfTr14+1a9cSGKjEeUtPTzeLsxMeHs5vv/3GvHnzuOSSSwgNDeXhhx/miSeeaOtHEwgEAkEHYnhsAJ/syeXA2XKMRmPdb0VIfyXeYMZeiJtoW5EtJT9FuSGrh51kpL9HK57+CwRqoTZW708Podz2S6ZYvSPcjQS5HiGrzMD/dqQwc2zPJgpTP/u3rGUARrJkH167YzTleom4YC9hwECj1zhkA+SfNFuKm5ZTxE9H6657MrBwfTqT+jbTiJfluoeQocoM6IebEs+fh8cI3LZsK0MiPRkY6c3Q7kHEBHqi0WhY+vtBThXqcdTCo1PE7GdbaLMBevbs2Sb3djo7O1/QI21jPPjggzz44IONHmtsJnXYsGFs37692eULBAKBoPMxvEcIWukIBZUySWcL6BFa4xgiZAAc+Kou/ltHwqcbSuCGutskvawhKq6frRQJBJZhwAwoz4c/noPgfsp7lJmuK3v68tGuHH7Yn9kpDNDE3RsYAJy0686g7sE23aesOmpnw+sboTWz4fVJzCxoYCzKwNP/28uyu0fg7Gh/8XqKTkN5HmjsyHOJ4R//3cSfqWWNZj1TYuTM4QK+O1wAnMTDQcLbWUtakR4AnQF+2HWS2RP6tOyzCky0eQmuXq+nuLi4wV9JSQlVVVWW0CgQCAQCQZO4OjkQ66vsA/3zaGbdgZqn3WTuazTQuarxDAXvKNNbvazheXkWIVFxttMkEFiKXtcor9mHQFdiSr5lWDcADmbrWrfXT0UcSM0hqFRxfpOPj43VqJDa2XCpnvOdsU82cEQUH+JtFkO1lr/Typn4xgZ2n8i6eD01s5/F7t254u0d/JlahkaCgYF2JmNIA9w7NJDnJ0VzdU8vunnbo5WguEo2GZ+1XGyprqBp2jwD6uXlhSQ1NiQUwsLCuOuuu3juuefMls4KBAKBQGBpBoZ7cDwvj52p+cyuTQzsDRo7KMuFojPgFW5LiS1Dr4NixZj+s8dzPLHfD1//YDQaDQaDwcbiBII24h0FXpFQmAZpW01L5GNDfOjp78DR3Cq+2naCBVcPtK3ONvDeH0d5VaPs/8w0CAO0UQbMgG7jYeUtcPYA2DdcWRkZ4MmC8RG8uj4dI4qxOLWnJxtPFJNerOem5XuYOTiAJ6YNwN6uoSfZ6tO7sQd+PhdMvt5IsJuW167rhbexCBe/EFKyS8yWRd9Vc15ZZRXL1h9hyV+ZZuUZgaSzhWIZdStpswG6YsUKnn76ae666y6GDFHc3e/cuZNPPvmEZ555htzcXP7zn//g6OjIU0891WbB7YnBYGj3H/Ta8m1546AGDUJHQw12dnZWGYNN6aj/2pV1qEGD2nR0hDE6rJsvX+zL40BmeV0ejT2agJ5IWQcxnNkN7m1zm2/VPsk8gNagQ3b24Wf9ULIoZKifs1k/qGFs2FpHRxmfXUlHczVI0aPQ7PsMY8pG5G6Xm9Kn9gnk6IbT/Hw4l39cWd3qSQxbtsWZcyWknUrE074cg9aJc1KwGKMX0uAWhNT7RjRnDyAn/YZxyJwG580a15MJfUJJPltIbLAXkf6eZBeW8Y+Vu9l2uoIPd+bwV8p6Ft/Un/jQOmN/36kc2L6BQcBBuRtXxnvw8o2DcHHQkpRURJiPG5H+ng01AU72WqYNjOTNvzLNlgBrgG6B7hZpR7X0SVuvoS05T5Lltq1HGj9+PLNnz2b69Olm6atWreL9999n/fr1fPbZZ7z00kscP368LVVZnKVLl7J06VIMBgNJSUls27YNN7dWxBUSCAQCgSoorzJw8zdnMMqwbFoQwR7KXquQPa/hc+pHcuNvJ7vP/TZW2Xx8kr8h5MASioMu4/ayRziYq2f2AHem9hQzKYLOgefpPwjf8RwVnt1JmfCJKb2kUs+M7zKoNsIbV/gTH3BxfyNqZNnOHJxT1rDQ/kNK/fuTOvodW0tSNQ4lacT9ditGyY7jV/+K0a55fW40GlmXXMyH+4qo0IODFq6PdyHOz5FD2ZWsTipjj8N9eEjlfNvzbXr0HNB0oeex5lgB7+8pNs2+zh7owZQE7xaX05kpLS1l2LBhFBUV4eHhcdG8bZ4B3bp1K//9738bpPfv359t27YBMGLECNLT1RfPae7cucydO5fi4mI8PT2Jj49vssHaSq2xGxcXZ9MAwLbWIHSYo9PpWLx4MfPmzbN5EHVbt4VadKhBg5p0dKQx2u2PbJLzq0mvcGDc0AQApMqxcOpH/KpO45OQ0O4aLIV07DQAbj3Gkr5Rebp8Wc8oEhJCVTM21KCjI43PrqKj2Roi/GDHczgXnSAhwg9c/U2Hhu0qYHNaOX9nVHPN6NZ9b23VFoVllaxbmca/NEkAOHYfxY8//ijG6MU0yD2Qd0ahKUgl3iEb4q9sdpm9esG0YYXMX7mXQzlVfHW0HCgHIErKxkMqR9Y6cu0100Frf3EdjZCQADeOLDKbfbUUaugTS1xDi4uLm523zQZoeHg4y5cvZ+HChWbpy5cvJzxc2Wdz7tw5vL3V/5RAq9VareOtWZeaNQgddXXr9XrRFirUoQYNatDRkcbowHAPkvPPsTO1gHtq84Qqe8ikzP1oJQks4JPAKm2RsRuAIp9LKNQpBmj/mECzejtCn1ij7o4yPruajiY1eAQp+7SzD6NN3wK9rzcdun5QOJvTElmfXITeKONo3/rbVmu3xUd/JlKuh6FOigFK2FD023erok9AxWMj9grY+QHalPXQc2qLyosN8eXNWwcxbslWs/S+0kkApKA+aB2cmqejEWKCfIgJar/VJx39GtqS89r8C/yf//yHxYsX07dvX2bNmsWsWbPo168fS5Ys4Y033gBg165d3HTTTW2tSiAQCASCJhnW3Q+A/Zn1XOwHJICdE+iKlPhyHYHSHMU5CxJ7dWEABLpq8HARIRwEnYzo0crryT/Nkq/sH42Hg0Rxlczrq/d1GK+jumo9K/dm40sR4SjeWY2hg2ysqoMQe4XymryuVV7LT2Q1HCN9NDXX/NCWL70VtA9tNkCnTZtGYmIiV155Jfn5+eTn5zN58mSOHz/OVVddBcD999/PokWL2ixWIBAIBIKmGJUQhgRklxlJz625GdHaQ1BN4PDaYORq54wy+0lAAgdyqgGI9hHGp6ATElNrgG4yS7a30xLtrYRW+nBnDmMW/c376w5ZWVzL+WpLEucqjIx0VLzf4p8Azl421dRhiBqhPCwsPgM5x1p8emPhWvrWGqAh/duuT2AR2mSAVldXM378eKqrq3nllVf47rvv+O6773jllVeIioqykESBQCAQCJqPt5sTMd7KUr1NRzPqDtTefGTutYGqVnBml/IaNojELCVGYnyAcJQn6IREXqaESipMg4JUU3JaThEHs3Wm9zLqj79oNBr5aJuyd3t6wBklMXyIDRV1MOydIWqk8n/y7y0+vTZcS62BY4eRfnZpypsQMQOqFtpkgNrb23Pw4EFLaREIBAKBwCL0D3MHYPvJc3WJtcuvMjqaATqYxBzFmUaAu5gBFXRCHN1N+7TrL8NNzCzg/EWYtfEX1cov+1JJL9LjqIXB9qeUxIhLbSuqo1F/GW4rmD2hDxvnj2DZLb3ZfGcg9sZKsHcFv1gLihS0hTYvwb399ttZvny5JbQIBAKBQGARhnVTPGnuSCupmy2pffp99gAY9DZS1kwMepOhvDLdk9QixQHRfzad6RBLEAWCFlO7D/RUnQHa2HJKDRAX7GUtVS3mg83Kcs+r412xzz6gJIYPtaGiDkjsBOU1fRtUtm62OzLAkwl9IwmprFkGHdIPNLZ3/iRQaLMXXL1ez0cffcQff/zBwIEDcXV1NTsu9n4KBAKBwNqknysF4FylzJhFf7NgfASzx/cCB3eoKoG8RAjsZWOVFyH3GFSXYXRw56ntdc+Ka5cgTuobQZivWI4r6ETEjIHNr8GpzYrzGUkyLadcuD7dNBM6c3AAkQGWC4FhSXYkZXIwW4dGgocu0cPJKnDxA58YqKqytbyOg080+MbCuWRI2Qi9rml9WbVbLsT+T1XR5hnQw4cPM2DAANzd3UlKSmLfvn2mv/3791tAokAgEAgEzSctp4i3/so0vTftG8srUZ6Cg/qX4dYsvy3w7IXxvJ9qtS9BFAhaRdhgsHeBslzIOWpKnj2hD5vmjyDOR4ndWKk32kphk7y7QQm5MirKjbCyI0pixKUgnT+PK2iSNi7DNVHrdE4YoKqizTOgGzdutIQOVWAwGDAYDO1eR/1XW6AGDUJHQw12dnZWGYNN6aj/2pV1qEGD2nR0lDF6LONco/vGjmecIzy4H5rUvzBm7EHue2u7aWgr0umdaABdQD84bX5MA3QLdFfV2LC1jo40PruKjhZrkLRoIi5FStmA8cQGZL8epkNhvm7cNSycp9ac5Ndj+fyzqho7bfPmUKzVFilZBfyVpoR+un9sd+Q97yOhhF+Ra8alGKMt0NBtPNrtS5FPrMOo17fOiDdUock6hAQYgvrCefWpoS3UosMS47Ml50my3IogO41w4sQJUlJSGDVqFM7OzsiyjKTyJz5Lly5l6dKlGAwGkpKS2LZtG25uYkmTQCAQdGSyS3TM+jHLzAiVgA+vDiK2aAsR25+l3LsHJ8er139B999uxakkjc9DnuWZkwmmdA0we6AHUxK8bSdOIGgn/BK/IOjQuxQHXUb6iNfNjun0Ru749jTlenhutA+Dw91tpLIh2SU63ttxjt1Z1fTxt+OVK0Lo8fNV2OkKSRnzXyr8+thaYodDMlTR46cr0RoqODH+Yyq941pchlNBIt3X343B3p1j034VM9HtTGlpKcOGDaOoqAgPD4+L5m3zDOi5c+eYPn06GzduRJIkkpOTiYmJ4Z577sHb25s33nijrVW0G3PnzmXu3LkUFxfj6elJfHx8kw3WVmqN3bi4OLRa22yGVoMGocMcnU7H4sWLmTdvHo6OtvNyqYa2UIsONWhQk46ONEYTgCdKjvDahtPULtaL8NAyZkg/KPCG7c/iXJRCQmwM2LX8s7R7n1QUoi1RwgZ8mhUOwJxLA+kf6UNssBeR/p7W0dFM1KCjI43PrqKjVRq8boRD7+Kef5CEuO5K/N56jNtfxM/Hi9l8WseMK5oX2qS922LZ+iO8uqHugVdcoBsJgY5odYXIWgeihk0DOycxRluhQXNkDCT9SozhBHLC1S2uR9qzQyknbAAJPXu2Wkd7owYdlhifxcXFzc7bZgN03rx52Nvbk56eTkJC3VPam266ifnz56vaAD0frVZrtY63Zl1q1iB01NWt1+tFW6hQhxo0qEFHRxujc664hMn9Itlw5Awv/JZKWrGBw6fP0TcyGpx9kCry0eYdqwv90A4aWk2WsmepzDWcpHNuuNjB3Il9cHdu/Kago/RJe9fdkcZnV9LRIg0h/cDZG6miAG3WAYgw9x5789Bofj5+gC2pZRRXVOPt5tQ+OppJWk4Rr244bbba4vvDhTwZcQw/QArpj9bR1VS/GKMt1BB3BST9iiblDxjzeMsryNoPgBQ68KL1qKEtbK3DEuOzJee12QnR77//zquvvkpYWJhZemxsLGlpaW0tXiAQCASCVhEZ4MnMsb24LMIFgKXrjytLsGrjgdY6p1AbZ3YDsKc6BoBJ8d4XND4Fgk6FRgPRo5T/64VjqeWy+BBC3LRUGeGb7clWFteQC8UprTy5VXkjwq+0je414VjO7ILy/JafnyEcEKmVNhugZWVluLi4NEjPz8+36RIDgUAgEAgA7h+rBB9ff6KE9NziupuRDLUaoIoH3D/KogG4Z3TL9z4JBB2W2nigJxsaoBqNhqt6+QHw44Esa6pqlPiQhnuxNUBAcU2sXmGAtg2vcAjoCbIRUja07NxzKZBd44lYGKCqo80G6MiRI/n0009N7yVJwmg08tprrzF27Ni2Fi8QCAQCQZsYmRBGT38HDDK8+8dRCKmdAVVhKBajsW4G1BhL30BHekX42ViUQGBFYsYor6d3QFVZg8O3DY9FAo7kVpGU2YpZMQvi7eaEY71Vhxrg2dFeOOQr4ViEAWoBYmtmQZN/b/45ez+FdwZBrReAlhqvgnanzQboa6+9xgcffMDkyZOpqqri8ccfp3fv3mzevJlXX33VEhoFAoFAIGgTs0ZEAfDjkXMUevVSEnOPN3qDa1POnYDKQipkBxLlcG6/NMLWigQC6+ITAx5hYKyG9G0NDkcGeNI3SFlh98WWE9ZWZ8a76w6jM4C/s8R/b+rJxvkjmNmt5priEwNu/jbV1ymojQd64g8wNiPMR1EGrH5YmTWt5ed5SrpANbTZAO3duzdJSUmMGDGCq6++mrKyMq677jr27dtHt27dLKFRIBAIBII2cfWgboS6a6nQwwc7z4F7iHKDcvagraWZU7P89qAcg4eTPdcMFr+jgi6GJEHMhZfhAlzbLwSAX4+dw2AwNpqnvSmp0PHlnmwA5oyMZFL/aCIDPJWZW4DwS22iq9MRPhQcPaD8XPP27eenmBufALIB8k+2jz5Bq2izAQrg6enJ008/zapVq/jll1/497//TXBwsCWKFggEAoGgzWi1Gu4cGgrAyr1ZGIL7KgfUtgy3xgDdZ+zONX38sbezvWdGgcDq1O4DbcQREcD1Q7vjZAc55UY2HTltRWF1vLfuCMVVMoGuGmaM6lF3oNYAjRDLby2C1r5uWXbyuqbz2zf0S4OkVWakBaqhzWFYAAoLC9m5cyc5OTkYjeZPHWbMmGGJKgQCgUAgaBN3jOrBu3+dJr9SZn9VOAMBMtRlgJaf3IYLcEDuzjNjejSZXyDolNTOgJ49qHg/dfExO+zm7MCYaA/WJhezalca4y+JtKq80ooqPt+tOEG697LwugdFhmrI2KP8L/Z/Wo7YK+DYT8o+0LFPXjhfZRH89H/maZIWpi4Bz9B2lShoGW02QFevXs1tt91GaWkpHh4eSJJkOiZJUocyQA0GAwZD4+vLjUYj1dXVyPL5DrdbXofRaKSsrMymAYBtrUHoMKeqqgpPT0/Ky8vR6/U20QDqaAu16GipBnt7+3bRWntNutC1yVoYDAbs7Owuep20lo76ry3BQavhxn7+LNuRwxdn/BgIyJn7MLawrHbrk6pSnAoU5yX2wZcQ5OVy0TrUNDZsraMzjM/OpqNNGlz80fjFI+UlYjj5JyRMa5DlhkHhrE0+wp8nSygsrcDd2cHyOi7Ae+sOUVwlE+Ci4dbhsXVlZx5AW12O7OSJ0ac71KtTjNE2aIgZixYgcy+GorPgFtBIoVVovr4DKecoslsQxhs/BX0l+ESDR6hZX7RaRzuhBh2WGJ8tOU+S22hRxcXFceWVV/Lyyy83Go5FzSxdupSlS5diMBhISkpi27ZtuLm5NcgnyzJ6vR6NxiIrlgUCQSek9lKq1WrNHsQJ1EVxpZ67v8/AyVDCfqfZABydthajg7uNlYF0Zhe9tj9ChuzLxsu+pF9ow98jgaCrELx/Mb4nvuVczDWcHfBYg+NGo5FZP5whp1zmoSGeXBHnZRVdFdUGZn2fQVGVzJyB7lyVUDc765u8iuADb1ISdClpI96wip6uQrc/ZuJcmMSZwc9QGDnZ/KAsE7rr33inr8Vg58yp0e9S6S3CV1mb0tJShg0bRlFRER4eHhfN2+YZ0IyMDB566KEOZ3wCzJ07l7lz51JcXIynpyfx8fENGkyWZc6cOYNeryc4OLjNRqgsy1RVVeHg4GCzm1Q1aBA6zDEajZw7dw5fX1+bPuhQQ1uoRUdLNMiyTHl5Obm5uXh4eBAUFGQxHbUPyOLi4mw6K63T6Vi8eDHz5s2zaYxnS7THlOPl/O8wnJUCCZaziXcvh5ghVtXQGNu2rQAgURvLTeMGNnktUMvYUIOOzjQ+O4uONmvQXAMnvsWn8BBeCQmNZrkyqZIVu3P5M62Sh69uPI+l22LJLwcoqpLxc9bwf1cNxcmh7lZaOpoGgGuP8SScp1mM0bZpkLKmwt9vEFJ2hOCE+ebHNr6EJn0tsqSFGz8huvvl7aajPVCDDkuMz+Li4mbnbbMBOnHiRHbv3k1MTMff3KvVaht0fHV1NRUVFYSEhODq6trmOmRZRpIknJycbHpjbWsNQoc5RqMROzs7nJ2dbW6A2rot1KKjpRpcXFyQJImcnByCgoIs/iPS2PXJmmi1WvR6vc111NfTWh0PTujJD0e2sFsfzVRtNtqs/RA73qoazsdoNGKs8fBoHzYQe3t7m+hoC7bU0ZnGZ2fT0WoN0SNB0iDlp6AtPQueYQ2y3D48lhW7czmYrSM9r4ToQC/L66hHha6az2r2ft49LBRX53o36rIMp3cCoIkcBufVJcZoGzXETYS/30BzcgMgg7bGhNnzCfytzDZLU5egjZ/YvjrakY5+DW3JeW02QKdMmcJjjz3G0aNH6dOnT4MfzWnTGq7b70jUrmd2cGh8b4FAIBDUUrsSpLq6WhU/ZoLGiQ70YkyMGwdSuzFVu715rv3bmXUH0hhgTAYJ+g6f3PQJAkFnx9kLQgZAxm4lHEv/2xpk6R7sTS9/B47kVvHFlmSeuW5wu0p6f/0RCnXK7OfdY3qaHyw6AyWZitOb0AHtqqNLEjYInL2hokDxFh45TPGK+/M85fiox2FAx/E709VpswF67733AvCvf/2rwTFJkmy+sddSiD1dAoGgKcR1ouPwwLh4XvtQWblTnb6H5s83tg+//L2DiVIReuzwiBlkYzUCgUqIGa0YoKcaN0ABru0XzJF1aaw5eo6nrjG22yqiCl01n+zMBGDmpaFmS2+BuvArwZeAQ9tXzAnOQ6OFbuPh8LeKN1x7Z1h1pxLjs+8tMPYpWysUtIA2f0uNRuMF/zqL8SkQCASCzsXAbkFoAntglCXsyzKhNMdmWtJzi5CzDgGg801QbqwEAkFdPNCTfypLXBvhhku746CFs6UGtiRmtpuUZRuOUFAp4+Os4e6xjew3Td+uvIrwK+1H7ATldf+X8Pn1UF2mjJGpb4F4ANyhEG5dBZ2SMWPG8Mgjj7TonOeff55+/fq1i57mMmbMGL788kubaugsbNq0CUmSKCwsBGDt2rX069evQaxiQdflrjG9OSGHAFCQvM1mOpZvSqSfdAIA126X2UyHQKA6woeCnROUZkFuYqNZvFydGBmleIxeuf1Uu8ioqKpmxc6zAMwcEoKzQyNrJmpnQIUB2n6Un1NeS7OgPA/cg+Gmz8BObJPraLTaAL3yyispKioyvV+4cKHpRg/g3Llz9OzZs5Ezm2bp0qVERUXh5OTE0KFD2blzZ7POW7lyJZIkcc0117Sq3s7EXXfdhSRJzJkzp8GxuXPn4uLiwsyZM22grHMhSRI//PCDRcr6/fffyc7O5uabb7ZIeR2R841GSzJp0iTs7e354osvLF62oGMy4ZIITtl1A+CvDb+QllPUxBmWR1et58fDeQzQJCsJYe27h00g6FDYO9UZdLuXQ1FGo9luHBQBwMaTJVToqi0uY/mGo+RXGPFxkpg1vpF729xEqFnFIAzQdqIoA35/xjytNBt0pbbRI2gTrTZAf/vtN3Q6nen9yy+/TH5+vum9Xq8nMbHxp1UX4+uvv2b+/Pk899xz7N27l759+zJx4kRyci6+PCo1NZVHH32UkSNHtrhOa6HT6SgsLKSqqsoq9YWHh7Ny5UoqKipMaZWVlXz11VeEh4dbRUNbsFY7qYXly5dz1113qT7erMFgaHQWsSP011133cVbb71laxkClaDRaCj0VJbSuRUeZ8yiv3l/3SGravhw/REqdDp6SalKQpjY/ykQmOFUEx5v5wewpDfs/bRBlgmXROLrrKG8WublH/da9GFSRVU1H+9Qlvbe2djs595P4d2hQM0S4ZT1FqtbUI/8FJDPu/eQjZB/0jZ6BG2i1Xe68nlr8c9/31oWLVrEvffey8yZM+nZsyf//e9/cXFx4aOPPrrgOQaDgdtuu40XXnih3cPByLKMwWBo8V9GRgbbt2/n4MGD7N+/n8zMzBaX0dI2HjBgAOHh4Xz33XemtO+++46IiAj69u1rltdoNPLKK68QHR2Ns7Mzffv25dtvvzUdNxgM3HPPPabj8fHxvPnmm2ZlbNq0iSFDhuDq6oqXlxfDhw8nLU2JiXXXXXc1mJl+5JFHmDixzl32mDFjePDBB3nkkUfw8/MzHTt8+DCTJ0/Gzc2NwMBA7rjjDvLy8kznlZWVMWPGDNzc3AgODuaNN5oX/HnhwoUEBgbi4eHBnDlzqKysNDu+a9cuJkyYgJ+fH56enowePZq9e/eajkdFRQFw7bXXIkmS6X1KSgpXX301gYGBuLm5MXjwYP7444+LasnNzWXLli1cddVVprTU1FQkSWL//v2mtMLCQiRJYtOmTUDdjOH69esZNGgQLi4uXHbZZQ0e/qxevZrBgwfj5OSEn58f1157relYQUEBM2bMwNvbG1dXV66++mqSk5NNx1esWIGXlxc//fQTPXv2xNHRkfT0dKKionjxxReZMWMGHh4e3HfffQD8/fffjBw5EmdnZ8LDw3nooYcoKyszlafT6XjiiScIDw/H0dGR7t27s3z5clJTUxk7diwAPj4+ZrP0TY1PgF9++YW4uDicnZ0ZO3YsqampDdp56tSp7N69m5SUlIv2h6BrkJZTxMqsUAAu0ZxERubV9elWmwl9f90hXt90hl5SKvaSgXJ7b/COskrdAkGHoCgDjq+pey8bYfUjDWZCtVoN0d7KMszP9uZZ7GFSWk4Rz3y9i3MVRrydJO4b36uhvtUPm+9PbUSfwAL4dAPpPLNF0oJPxw8D2RVpsxdcS1JVVcWePXt48sknTWkajYbLL7+cbdsuvD/nX//6FwEBAdxzzz389ddfTdaj0+nMZm9rA6een16rSZZlM8dKW7dubelHa8CJEyc4ceJEi8657LLLmh3aQZZlZFlm5syZfPzxx9xyyy0AfPTRR9x5551s3LjR9LlAmcH+4osvePfdd4mNjWXz5s3cfvvt+Pr6Mnr0aPR6PaGhoXz99df4+vqydetW5syZQ2BgINOnT0ev13PNNdcwa9YsvvjiC6qqqti5c6epjlo9jc2cGY1Gk/fQTz75hDlz5pj6MT8/n3HjxnHPPffwxhtvUFFRwYIFC5g+fbrJqHv00Uf5888/+f777wkICODpp582zZ5faL/fqlWreP7553n77bcZPnw4n3zyCe+99x4xMTGmc4qKirjjjjt48803kWWZRYsWceWVV5KYmIi7uzs7duwgKCiI5cuXM2nSJLRaLUajkeLiYiZNmsSLL76Io6Mjn332GVOnTuXYsWNEREQ0qufvv//G2dmZHj16mOqv/3qhtNr3Tz/9NK+//jr+/v488MAD3H333aY2XLNmDddeey1PPfUUK1asoKqqil9//dV07p133smJEyf44YcfcHd354knnmDKlCkcPnwYe3t7jEYj5eXlvPrqq3zwwQf4+vri5+cHwH/+8x+effZZnn32WQCSk5NNn/3DDz8kNzeXhx56iLlz55oeIt1xxx1s376dJUuW0LdvX06dOkVeXh6hoaF888033HjjjRw9ehRHR0e8vLwwGo1Njs/Tp09z3XXX8cADD3Dvvfeye/duHnvssQbtFxYWRmBgIH/++SfR0dEX+PYo1B+zzfVuWzvWq6qqLOYR12AwUF1djU6ns2lol9pr4/nXSGtjyfY4kp7LUTmCalmDn1RMX05wgFiOns4lyNOpXTWk5RazcH06AP01ym/BlsoYIjPyiPT3aFYZahkbatDRGcdnR9dhCQ1S9nEcGsx6GajKTkR28jMlpeUWsyez7iGyDLy6Pp2xCUGE+bi2SsdHm47z2sYztfOa9A50RoPRbIw1Vx+IMdpmDU5+aCa/gd2vjyLJBmRJi37yfzA6+UEr21QNbaEWHZYYny05t9UGqCRJDW6w2nrDlZeXh8FgIDAw0Cw9MDCQ48ePN3rO33//zfLly81miZrilVde4YUXXmiQvmjRIpyczG86XF1dGT58OHl5edjZ2dnUgUl2dnazl2dWVFSg0+mYMGECTz31FLt37wZgy5YtLFmyhN9//52KigqysrLQ6XS8/PLLrFy50jQzOmnSJK677jreeust4uPjAcz2k44fP57p06fz2WefMWrUKAoKCigqKmLYsGG4urri6upqmsHMysoy6cnKyjKVUVZWhl6vJzs7G1CM/aioKObNm2fKs3DhQnr27Mn//d//AeDl5cUrr7zC4MGD2bJlC0FBQXz00Ue89dZb9OqlPJl89dVXGTRoEGVlZWb11ec///kPN998M1OmTAHg4YcfZt26dWYae/bsabaP+YUXXmDVqlX88MMPTJgwoUGZBoOBrKwsAgMDufrqq03pDzzwAN9++y1ffPHFBffdHj58GH9/f3Jzc01ptf/n5eWZNNXuu87PzycrK8u07H3e/7N35+E1XP8Dx983eyKbCLI0JCIUtcQeqrZYa23VWsRSFF9bqaWW+KmltVO0qLVVpZYqWpSiIoLaSSWWxC7WRGS/d35/pBm5bhIJkVx8Xs+TJ5mZM2c+c+bcm3vuOXNm6FD1On3yySd069aNiIgIrKysmDhxIq1bt9a7fgEBAdy6dYtLly7x22+/sXnzZnx8fACYPXs21apVY8WKFbRs2ZLo6GiSk5MJDAxURxjExMSg1WqpVasWnTt3VvMdPnw4bdq0oUOHDgDY2dkxfvx4PvzwQ8aPH8/169dZv349P/30E35+fgDqdUt/7gBWVlYkJCQQGRn5zPo5Y8YMihcvzvDhw4HU+tmuXTsWLFjA7du39Xq3CxcuzLlz5zKtGy8iJSWF6Ohotm/frtfr+zqZPXt2foeQa5LNC9DG9BZmpL6vb7IMZFRKb37+K5bDW1/uvcJ3bYqjUBh40gA9rivJjjWbsIu/+VKP/Tp7neqnADvlEUPQYMKTHkYdGr5Zs51HmicdDo+sXVFw19tXByx+ztdTsnkBfowpQ/pxZ0GRcUyaOR/z5Cfv7dmNLz2poy/GTumJEw+5rzjy6Per8Pu0/A7ptfIi9fPpkYRZee4GqKIoBAQEYGlpqR60X79+FCiQ+uyjvPiG59GjR3Tt2pUlS5aoPTLZMXr0aIYNG6Yux8TE4OHhwbBhw7C31//mOTExkWvXruHs7IyVlRWKohg0kJ8lMTGRf/75x2B9lSpV1PLLDhMTk2w38q2trUlMTKRcuXI0b96c7du3oygKzZs3p0yZMpibm2NtbY2Liwtnz54lPj5eryEBqQ1CX19fXFxcAFi4cCHLly/nypUrxMfHk5SURKVKlXBxccHFxYXu3bvTpUsX/P398ff356OPPsLV1VUvnrS8ILVxb2ZmRtGiRdFoNFhYWFCjRg29NJcuXeLgwYOUKlXK4BxjYmKwtbUlKSmJJk2aqPu5uLjw9ttvU6BAAb280rt48SIDBw7ExcUFRVFITEykTp067Nu3T93n9u3bjBs3jn379hEVFYVWqyUuLo7Y2Fi9fB0dHfWWY2NjmThxItu3b+fmzZukpKQQHx/Pw4cPM43HzMwMS0tLtSzgyQvZ2dlZ3S/tCxInJydcXFxwcnICUocvFy6c+mE2rdFsYmKCi4sL586d49NPP83w2IcPH8bMzIzmzZtjamqKoig4Ojry9ttvc+vWLVxcXHBwcMDCwoIGDRro1T9TU1Nq166tl294eDinTp3Sm5gprRcxPj6e69evY2pqStu2bTE3N5xFMO18ihQpgrW1NZaWlpw7d+6Z9fPq1avUqlVLL5aGDRuyYMECihYtiqOjo7re3t5eLZuspNULS0vLbL/uEhISiI2NpU+fPjl6bWdFq9Vy/vx5Spcune89oLNnz2bo0KG5dm7PI1fLI+YG5gsqk3Z1TTQKU8y+5927FahevzW96mXwqIVciCEuMZnW3xwAUh9VVum/BugJpSSBndvmqAfUGOqGMcTxWtbPVzyO3IpBe7Ismt+HoVEUFEDbfBYDKuo/EzTyTgwbvjnM0zcq9ezQGs/CdjmOY/fpq/zwi/6tLDqgdpM2NHhHfw4N3X57TIJSb/1RNKZom80wiA+kjhpbDBKHvtyonzExMUyblr0vBJ67Adq9e3e95Y8//tggTbdu3XKUp7OzM6ampmqPWJrbt29n+GHx4sWLRERE0LJlS3VdWg+lmZkZ58+fx9vb22A/S0vLDAs3o/WKoqDRaDAxMVF7H3NaOczNzSlVqhRhYWHqOh8fH2xtbXOUT06k9VCbmJjQq1cvBg4cCKTOMJx2Hmnb4+LigNShmu7u+t8gWlpaYmJiwtq1axkxYgQzZ87Ez88POzs7pk+fTkhIiJrfihUrGDx4MH/88Qfr1q1j3Lhx7Nq1i5o1a6pllr4HNzk5WV2X9gHf1tZWL83jx49p2bIlX331lcE5urq6qsOY01+f9GWQVY9x2j5p1zgthrR9evTowb1795g7dy7FixfH0tISPz8/kpOT9fJ9+tiff/45u3btYsaMGZQsWRJra2vatWtnsF96zs7OREdH68VsZmZmcB5pz9ZNO2ba+rTrBPr108TEBGtr6wzLJ/25Pl0W6Y+blkdG9f7p6xUbG0vfvn0ZNGiQQdpixYpx6dKlDMsso3hyUj/T1/fMzi3N/fv3KVKkyDNHE6R/7We3AZqW1sLCIlcboObm5lhaWubrP8g0mb1/5pVcLY/Yq4D+qBYzjQ5Pk9tM/+s6BSwt6F7PcMbLF4lBp9Px2cpDXInRYmkKjtoHvKW5i1bR4F+nLqXeKpztvIylbhhLHPCa1c9XPI5ci6F6T3D3hSX10ADm5VrDU9e41FuFGdWwGF/tvqL3il524CJfdayR4zgsM3jMiglQ1qOwYf2y++8161YFTYfVmDu4G+yrl7fUUaOIQeLI2IvUz5zs99wN0OXLlz/vrpmysLCgSpUq7N69W52wRqfTsXv3brUBld7bb7/N6dP6N5mPHTuWR48eMXfuXKOa6dXV1RUnJyfi4uIwMTEx6Gl9mZo2barek5Z+0p806SeWqVu3boZ5BAUFUatWLfr376+uy2giF19fX3x9fRk9ejR+fn6sWbOGmjVrUrhwYc6cOaOX9uTJk898oVWuXJkNGzbg6empNsjS8/b2xtzcnJCQEPX+ygcPHhAWFpbpuQCUKVOGkJAQvS9JQkJCDM554cKFNG/eHICrV6/qTX4EqV8upDUK0+8XEBCgTvQTGxub4YQ46fn6+hIVFcWDBw8oVKgQgNqjefPmTXx9fQFyNNQ8TYUKFdi9e3eGw3/LlClDSkoKISEh1KqV+vzBe/fucf78+ed6jFLlypU5d+4cJUuWzHB7+fLl0el07Nu3D39/f4PtFhapk0ikL9Ps1M8yZcqwZcsWvXWHDh0ySJeQkMDFixfV8hRvuLRJLdLdw6VoTPDx9uFQOEzccRkrc1M61C6da4ecue0Eey7FYqKB+R+Vo1JCCPwBWue36dlMHt8gRIbcfaFIOYg6C5f+gvLtDJL0bVSephWLEXbzIRduRfPVX1f55fQDKrifp3L2B8lx5U4Mozaf01tnAoxsWIziRRwy2OG/OUrebg7PaHwKIVIZ3fMehg0bxpIlS1i5ciWhoaF8+umnPH78WP3w3K1bN3WSIisrK9555x29H0dHR+zs7HjnnXfUD7PGIm1SlbyOy9TUlNDQUM6dO5dhg8/Ozo7hw4czdOhQVq5cycWLFzl27Bjz589n5cqVQGqP7dGjR9mxYwdhYWGMGzeOI0eOqHlcvnyZ0aNHExwcTGRkJDt37iQ8PJwyZVKHsDVo0ICjR4+yatUqwsPDmTBhgkGDNCMDBgzg/v37dOrUiSNHjnDx4kV27NhBjx490Gq12Nra0qtXL0aMGMGePXs4c+ZMth5lMnjwYJYtW8by5csJCwtj0qRJnD17Vi+Nj48Pq1evJjQ0lJCQELp06YK1tbVeGk9PT3bv3s2tW7d48OCBut/GjRs5ceIEJ0+epHPnzs+8d9jX1xcnJyeCgoLUddbW1tSsWZNp06YRGhrKvn37GDt2bBa5ZGzChAn89NNPTJgwgdDQUE6fPq32KPv4+NC6dWs++eQTDhw4wMmTJ+nZsyfu7u5697Fm18iRIzl48CADBw7kxIkThIeH8+uvv6pfIHl6etK9e3d69uzJ5s2buXz5Mnv37mXdunUAFC9eHI1Gw9atW7lz5w6xsbHZqp/9+vUjPDycESNGcP78edasWcOKFSsM4jt06JDaky0EDu7Qcm7qTIr/0ZRsRGBAK5r42KFTYMzWC2w6nLMJ4zLz+/HLLAxKvR/tf++60biSJ0Uepb7vWHhK41OILJVsmPr7QuaPOSlexIFGFYvzaZMKdK6U+mXulzsvc+FufKb7pHf/UTwfLw3mTpwOV1tT1vXyZUmnd/hr2Lv0bVTecAdFgcj/GqDFa+XodIR4kxldA7RDhw7MmDGD8ePHU6lSJU6cOMEff/yh3nd55coVbt6UCRpyyt7ePste10mTJjFu3DimTp1KmTJlaNq0Kdu2bVNnCu3bty8ffPABHTp0oEaNGty7d0+vN9TGxoZ///2XDz/8kFKlStGnTx8GDBhA3759AWjSpAnjxo3j888/p1q1aur9u8/i5uZGUFAQWq2Wxo0bU758eYYMGYKjo6PayJw+fTp16tShZcuW+Pv78+6771KlSpUs8+3QoYMaT9WqVbl69areJD2Q+lzOBw8eULlyZbp27cqgQYMoUqSIXpqZM2eya9cuPDw81F61WbNmUbBgQWrVqkXLli1p0qQJlStXzjIeU1NTOnTowJo1a/TWL1u2jJSUFKpUqcKQIUP48ssvn1lmT6tXrx7r169ny5YtVKpUiQYNGnD48GF1+/Lly6lSpQotWrSgVq1aKIrCtm3bMrxH81kqVKjAvn37CAsLo06dOvj6+jJ+/Hjc3NzUNIsWLaJdu3b079+ft99+m08++USdsMfd3Z2JEycyevRoPD091cmnnlU/ixUrxoYNG9i8eTMVK1bk22+/ZcqUKQbx/fTTT3Tp0gUbG5scn5t4TVXuBkNOQ53UCax4GImpqQkLAt6lnlcBtAqM2Hye7cde7FlzYTfuM2JjKArQqKQdg5v99yisiP++dCqU8agBIcR/Sv43aubCn5CNCSH/76Pq+LpYkaSDKfvvcO9R1o3QxwlJfLz4AFeiU3C01LCqZ3Wq+7jRqGLxjHs+IfUZlI+jwNQC3LL+Py+EeEKj5NYDPF9hMTExODg4EB0dbdBIS0hI4PLly3h5eRnMkPs8FEUhISEBKyurXHtMw6sYg8ShT6fTcerUKRo2bMixY8coXrx4vsRhDGXxsuK4e/cupUuX5ujRo898BMvzxpDb7xeQOhw5NDSUMmXK5PskRNOmTWPUqFH5fv/SSymP+Icw3Rt0KTDwH3AuSWJyCgGL/yb4ahwWJrCo4zuUdHEk9Po9zBMeUK96pWzFEBOXSIs5e7kSk4KPkzlbBtfH2tIcjq6ArYNTE2lMUntjK2d/7gRjqRvGEMdrXz9fwThyPYaURPjKE5LjoO/f4FrhmbtERT/m/bn7uROno4qrFesG1sfU1LDvJTlFy8ff7iPkWjw2ZrC6RxWqeGc9UR0Ax3+AXweAR03otSPLpFJHjSsGiUNfbtTPrNpTTzO6HlAh3lRFihRhyZIlXLlyJb9DeS1FRESwcOHCbDU+xRvI2hG83kv9+9/fALA0N2P5J3Wo6pbai9L3pzPUm3WAfj+H0vvXWyzZfTbz/P6j0+n4dMVBrsSk9qp836NGauMz+jpse/LIKRSdPMBeiKyYWT55jV7MfBhuekUcCjC/QwXMTeCfmwkEbjhikEan0zFwZRAh1+IxN4H57d/JXuMTntz/Waxm9tILIQBpgAphVNq0aUOdOnXyO4zXUtWqVdXnkwqRoTL/zage+pu6ysrCjNV93+NtZ3NSFNTHPCjA13uuEhkVnWWWkzf/Q9CVOEw1MLd9eYoV/m8o3/2LepMfpWaqTR3SJ4TImDoMN3sNUIBqJV3oVzX1dbf62F02HArX2z523WF2hD9CA0xt5UPDCjkYgST3fwrxXJ57FtzXkVarNZjRVKvVoiiK+vOi0vLIz5HPxhCDxGEYg0ajybV69iJxpP/9JsfxPDGkXb+M3kueV1o+uZXfi8RhZmaWq+f2vHGk/52rfJpiwjA01/9B++AK2KfOaGlhZkK/Ol4M2RSml1wHTPr1BL3qlKRKiSJ6Q/si70Tz44ELfH/0DgDD63vw7ttuT+J2KI4JkH5wt6IxRedYHLJ5bsZUN/I7jjeifr5icbyUGLzqYQooV4LRxT0ES7tsxdGklCNXHsGvodGM3RqGj4s95TycmbP9JGtO3APg8wYetK3mnf14Y6MwvX8RBQ06t6rPfN1KHTWuGCQOwxhetH7mZL83+h7QBQsWsGDBArRaLWFhYQQHBxs8m1On06EoivocSCGEyExiYiKRkZHPfAatMF5ef/WjwL3T3Kg0lPslnzzq4fajRHr/esvgQfdpHC01VHaxoPpbNtx9nML3Jx6pacsUMmV6s7f00lvfO4P3X31RSG2EKhoTblT+nAdeLZ/OWgiRjs/v7bF8fJ3IWtN45Jb9EUPJWh2jdtzg/H0tRW00VHW1ZNvFBAA6lrXh48rZfwYvgP21vyh2aCwJDt5caLQqR/sK8TqKjY3Fz88vW/eAvtE9oAMGDGDAgAHqTbOlS5fOcBKiyMhILC0tc20SosTERCwtLfN1EqL8jkHi0KfT6YiKiqJIkSL52nAxhrIwljieNwZzc3OKFy+eq5MQhYWFUapUqXyfhGj27NkMHTo03yfQeJnloXn4Efx5GteH/1C0zDh1fRlg5KOzfL3nKjpSG40NvW2JS9Jx7EYcDxMV9kQmsicy0SDP8/e02Di7Ubzwk5k0NTtSHyGklH4fXfW+4OSFi7072bzzDDCeumEMcbwp9fNViuNlxaCJaAZHl+KRGIZSpk+24yhX5m2WuBWjydwgbscpauOzQlELJnV6N8f/ezVXVwNgUbKu+si5rEgdNa4YJA59uVE/Y2Jisp32jW6APs3U1NTgwpuamqLRaNSf3JLb+b2qMUgcT46dNgz3TS8LY4sjJzGkpc3oveRFvYw8c3r8lJSUfI8jfTwvJY6yreDP8WgigzBNjAYbJ3VTv8YVaFapOP9ev4dZullw45OS+evMVXadvcmeC9FEJ+r3k+qAi7cfUcLlv7x0Wjj3KwAmlbuBd90XCvm1vybZPPYbUT9fwThyPQYffzi6FJOLu8HEBLL5/mxqaoqiaEhI0V9/5nYSNx7EZf6olcxcOQSAiWdtyMb5SR01zhgkjifHftH6mZP9ZIyYEEIIkcbJC4qWT50Q6PzvBpuLF3HAv0Jxito9+YbY2sKc5pVLMLtrbTb39+Ppj8MmQClXxycrIoMg9jZYOYJ3g5dxFkK8vjzrgIk5PIzM8aRd5288MBhGrwPCbj7MWQyJj+DWqdS/ZQZcIXJMGqBCCCFEemVapP7+d2uOd/UqWpBRDYup/1xNgJENi+n3rpz+JfV32VZgZvFCoQrxxrG0heJ+qX9f+DNHu5Z2K/jsL4iy49qR1FmsHYqBw1vPTi+E0CMNUCGEECK9t/9rgF7YDYmxOd69b6Py/DXsXZZ0eoe/hr1L30bln2xMSYLQLal/v9Mu4wyEEFnzbpj6O4cN0OJFHJ79BVF2/Df8Vno/hXg+0gAVr6V69eoxZMiQHO0TGBhIpUqVXko82VWvXj3WrFmjLms0GjZv3pxp+oiICDQaDSdOnHj5wb1hvLy8+OabbwBISkrC09OTo0eP5nNUIk8ULQcFvUCbmOMPuGmKF3GgUcXihh9sL/0F8Q/Atih4vpsLwQrxBkp7HmjEAUhOyNGuWX5BlF1X0p7/6ZfzfYUQ0gB9XQUEBKDRaOjXr5/BtgEDBmBjY0OPHj3yIbLXy7MaiDmxc+dObt++TceOHbO9j4eHBzdv3uSdd97JlRhedZ6ensyZMyfX87WwsGD48OGMHDky1/MWRkijeaFhuFk6syH1d7m2YJL/k14I8UoqWg5sXSA57kljMAcy/YIoO7TJcO2/LyOLSQNUiOchDdA8dDM6nuCL97gVk7Nv656Xh4cHa9euJT4+Xl2XkJDATz/9hIeHR57E8CKSkpLyO4Q89f333xMQEJCjqeBNTU1xcXHBzOzVmdA6OTnZYN2rcK27dOnCgQMHOHv2bH6HIvLC2/89jzNsR+qw2dyQFAf/bkv9+50PcydPId5EGg2U/G8Y7sXdeXvsm6dSG77WBcG5dN4eW4jXhDRAc0hRFOKSUnL8szo4gtrT9tB5aQgN5xxkdXBEjvNQlMwegZ6xypUr4+HhwcaNG9V1GzdupFixYlSsWFEvrU6nY+rUqXh5eWFtbU3FihX55Zdf1O1arZZevXqp20uXLs3cuXP18ti7dy/Vq1enQIECODo6Urt2bSIjI4HUHtk2bdropR8yZAhNmjRRl+vVq8fAgQMZMmQIzs7O6rYzZ87QrFkzbG1tKVq0KF27duXu3bvqfo8fP6Zbt27Y2tri6urKzJkzs1U+06ZNo2jRotjb29OvXz8SEvS/GDhy5AiNGjXC2dkZBwcH6taty7Fjx9Ttnp6eALRt2xaNRqMuX7x4kdatW1O0aFFsbW2pVq0af/6Z9TC+O3fuEBQURIsWLQy23bx5k2bNmmFtbU2JEiX0rsvTQ3Bf9Dpl5Nq1a3Tq1AknJycKFChA1apVCQkJUbcvWrQIb29vLCwsKF26NKtXr9bbX6PRsGjRIlq1akWBAgWYPHmyOtx56dKleHl5qc/MfPjwIb1796ZIkSIULVqUhg0bcvLkSb38fvvtN6pVq4aVlRXOzs60bdsWSK0/kZGRDB061ODRKQcOHKBOnTpYW1vj4eHBoEGDePz4sbo9KiqKli1bYm1tjZeXFz/++KNBORQsWJDatWuzdu3aTMtKvEbeqpY6TDYxBi7vz508w3dCUmzqxCVvVcudPIV4U6U1QC/kcQP0ysHU3x41Ux8DI4TIsVen2yQPaLVatFqtwTpFUdSfuKQUyk3Y+ULH0Skwfss5xm85l6P9zk5sjI1Fzi5Zjx49WL58OZ07dwZg2bJlBAQEsGfPHvWcAKZMmcKPP/7IokWL8PHxYf/+/Xz88cc4OztTt25dtFot7u7urFu3jkKFCnHw4EH69u2Li4sL7du3JyUlhTZt2tC7d2/WrFlDUlIShw8fBtBrOGfUiE6/buXKlfTr148DBw4A8ODBAxo0aECvXr2YNWsW8fHxjBo1ivbt27N7d+o/neHDh7Nv3z42b95MkSJF+OKLLzh27BgVK1bMtNG+bt06AgMD+eabb6hduzYrVqxg0aJFlChRQt0nJiaGbt26MW/ePBRFYebMmTRv3pywsDDs7Ow4fPgwRYsWZdmyZTRt2vS/Z4wpPHr0iGbNmvHll19iaWnJqlWraNmyJf/++y/FihXLMJ4DBw5gbW3N22+/bRDzuHHjmDp1KnPmzGH16tV07NiRU6dOUaZMGTVt2rV80euUPj+A2NhY6tati7u7O7/++isuLi4cO3ZMfV1s2rSJwYMHM3v2bPz9/dm6dSs9evTA3d2d+vXrq+cQGBjI1KlTmT17NmZmZixbtowLFy6wYcMGNmzYoJbdRx99hLW1Ndu2bcPa2poVK1bQsGFDzp8/j5OTE9u2baNt27aMGTOGlStXkpSUxPbt21EUhQ0bNlCpUiU++eQTPvnkE/U8Ll68SNOmTZk0aRLff/89d+7c4X//+x8DBw5k2bJlQOoXJDdu3GDPnj2Ym5szePBgoqKiDOpntWrV+PvvvzOtV+mvw9PvJc8rLZ/cyu9F4jAzM8vVc3veONL/fpk0pZtj8s9ydOd+RSnxpD4/bwwmp9ejAXTl2qLodC8cnzHVjfyO402sn8Yex0uPofh7mGhM0ESdQ/vgCti750kcJpHBqa9jjxooOchT6qhxxSBxGMbwovUzJ/tplJx2q71GFixYwIIFC9BqtYSFhREcHIytra1eGp1Oh6IoFC9eHEtLS+KStFSZui9f4v1ndF1sLLJ3z1CfPn14+PAhCxYsoFSpUmovUqVKlQgLC6N///44OjqyePFiEhMTcXd3Z9u2bdSoUUPN49NPPyU+Pp4VK1ZkeIyhQ4dy+/Zt1qxZw/3793nrrbfYsWMHderUyTSedevWqetGjBjBqVOn2LFjBwBNmjQhJiaG4OAn93NMmzaNgwcPsmXLFnXdtWvX1HNydXXlrbfeYtmyZXzwwQcA3L9/Hx8fH3r27Mn06dMzjL1+/fpUrFhR737BunXrkpCQoNe7l55Op8PV1ZXly5fTvHlzAGxsbFi7di2tWrXKcJ80VatWpVevXnz66acZbv/mm29YtGiRwfBOGxsbevfuzbx58/TirFSpEnPnziUyMpIyZcoQHBxs0KudJifX6Wnff/89Y8aMITQ0FCcnJ4PtDRo0oEyZMixYsEBd9/HHH/P48WM2bdqknsPAgQP5+uuv1TRffvkl06dP58KFCxQuXBiAgwcP8sEHHxAZGYml5ZNnLL7zzjsMHTqUXr16Ub9+fby8vNSG49PefvttBg4cyMCBA9V1n376KaampuqEQmnHaty4MXfv3uXq1atUrFiR/fv3U7VqVQDOnz+Pr68vX3/9tV5eCxcuZP78+YSGhmZ4/MTERCIjI9FoNDkaSi2Mk+2tEDwPDCPFsiD/tvgVNM9/z6ZJ8mPe/q0FJrokLvgvJ8GxVC5GKsSbqcSeT7C5f45rVUbz0MtwBFGuUxTe/q0FZkkPuVj/O+ILyfwLQqSJjY3Fz8+P6Oho7O3ts0z7RveADhgwgAEDBhATE4ODgwOlS5c2KLCEhAT1A7GVlRWWlgpnJzbO0XFuRSfQaPZ+dOma+iYa2DX0PVwcrLKdj7W5qd6wwqyYmppiamqKh4cH77//Pj/99BOKovD+++/j7p76LaGJiQlWVlZcvHiRuLg4g+GfSUlJ+Pr6qsMjFyxYwPLly7ly5Qrx8fEkJSVRqVIlrKyscHNzIyAggFatWtGoUSMaNmxI+/btcXV11YsnLa+0dQCWlpbqB/aqVavqpTl37hz79u1TGynpXbt2DZ1OR1JSEu+++666n5ubG6VLlzY4Xnrnz5/n008/xcrKCkVRSExMpFatWuzdu1fd5/bt24wdO5Z9+/YRFRWFVqslLi6OW7du6eVrYWGhtxwbG0tgYCDbt2/n5s2bpKSkEB8fz82bNzONJykpCXNzcywsLAwaLunPDaBWrVqcPHnyv/poqZZhblyntLJIuyZnz57F19cXNze3TMuxb9++evHVqVOHefPm6a2rUaOG3rKZmRnFixfXuxc5NDSU2NhY3npL/5lq8fHxXLlyBSsrK06dOkWfPn0yLUeNRoOZmZne9rNnz3Lq1Cl+/vlndZ2iKOh0Om7evMmlS5cwMzOjVq1aatlXrFgRR0dHtWzTXnd2dnbEx8dnenwAc3NzihcvnmWanEj7gqxUqVLqayY/JCYmMnv2bIYOHar3BUFey9PyKOWNcnQiZgkPKGMbqz5y4Xli0Jz6GRNdEkohH7xqtkq9h+0FGUvdMIY43sj6aeRx5EUMmqgWsP8cbnHncC0z4uXHcTcM06SHKGZWePq1BtPsP8dX6qhxxSBx6MuN+hkTE5PttG90A/RpaY2kp9el3U+W9lPAMmc9G95FzJn6QXnGbDyDVlEw0cCUtuXxLmKXm+FnSKPR0LNnT7UXZ8GCBeqH6bTzSbsXbtu2bWrjNE3ah++1a9cyYsQIZs6ciZ+fH3Z2dkyfPp2QkBA1v+XLlzNo0CD++OMP1q1bx7hx49i1axc1a9bExMQERVH0GtBpk9Gkv1/P1tZWL01sbCwtW7bkq6++Mjg3V1dXLly4YJBH+nPPqsGe2fa0dQEBAdy7d4+5c+eqPeB+fn4kJyfr7fd0PiNGjGDXrl3MmDGDkiVLYm1tTbt27Qz2S8/Z2Zno6OhsncfT1y/93y96nZ4+po2Njd4xs1OO6WNK8/R11Wg0FChQQG/d48ePcXV1Ze/evQYNYUdHRzQaDdbW1jm+rrGxsfTt25dBgwYZpC1WrBjh4eEZ7pdRfg8ePKBw4cKZHj8tbUbvJS/qZeSZ0+OnpKTkexzp43npcZhaQ6mmcOpnTM9vA6/azx/D2dR78TXl22Gay5OGvVHXJItjv3H18xWJ46XG4NMI9n+NyeW9gAKmmb+2ciWOa6kjpDTuVTG1sM7RrlJHjTMGiePJsV+0fuZkP2mA5pEO1YrxXqnCRNx9jIutKZ5FHPPs2E2bNiUpKQmNRqM36U+asmXLYmlpyZUrV6hbt26GeQQFBVGrVi369++vrrt48aJBOl9fX3x9fRk9ejR+fn6sWbOGmjVrUrhwYc6cOaOX9uTJk8+srJUrV2bDhg14enpmONOrt7c35ubmhISEqPdXPnjwgLCwsEzPBaBMmTKEhITQrVs3dd3TQ2+DgoJYuHChOtz26tWrepMfQWpv19Nj3oOCgggICFAnx4mNjSUiIiLL8/T19SUqKooHDx5QqFAhvW2HDh3Si/PQoUP4+vpmmM+LXqenVahQgaVLl3L//v0Mh+CWKVOGoKAgunfvrhdD2bJlszzfjFSuXJlbt26pvaMJCQlYWVnpNfYqVKjA7t27M32EkIWFhcH1qFy5MufOnaNkyZIZ7vP222+TkpLCP//8Q7VqqRPDnD9/nocPHxqkPXPmTKZlL15Tb7eAUz/Dv79Bk8nP13P5+F7q8z9BZr8VIje5VQYrR0h4CDeOgUf1l3u8K4dSf8vzP4V4IXKTUh5ydbCmZolCuNjnztC87DI1NSU0NJRz585l2OCzs7Nj+PDhDB06lJUrV3Lx4kWOHTvG/PnzWblyJQA+Pj4cPXqUHTt2EBYWxrhx4zhy5Iiax+XLlxk9ejTBwcFERkayc+dOwsPDKVOmDJB6r+DRo0dZtWoV4eHhTJgwwaBBmpEBAwZw//59OnXqxJEjR7h48SI7duygR48eaLVabG1t6dWrFyNGjGDPnj2cOXMmW48yGTx4MMuWLWP58uWEhYUxadIkg/svfXx8WL16NaGhoYSEhNClSxesrfW/8fT09GT37t3cunWLBw8eqPtt3LiREydOcPLkSTp37ozuGROO+Pr64uTkRFBQkMG29evXs2zZMsLCwpgwYQKHDx/Wuy/x6Zhf5Do9rVOnTri4uNCmTRuCgoK4dOkSGzZsUO/THTFihDqBU3h4OLNmzWLjxo0MHz48y/PNiL+/P35+frRp04adO3cSGRnJwYMH+eKLLzh6NPWZaxMmTOCnn35iwoQJhIaGcvr0ab3ecU9PT/bv38/169fVLwtGjhzJwYMHGThwICdOnCA8PJxff/1VLcPSpUvTtGlT+vbtS0hICP/88w+9e/c2uNYAf//9N40b52wIvnjFlWwIZtbw8ArcOv18eYT+CroUcKkAzj65G58QbzJTM/D+b4KwC1nPNp8rIv+bAbeY4Re2QojskwboG8Le3j7LG4InTZqkzrZapkwZmjZtyrZt2/Dy8gKgb9++fPDBB3To0IEaNWpw7949vV42Gxsb/v33Xz788ENKlSpFnz59GDBgAH379gVSJxgaN24cn3/+OdWqVePRo0d07dr1mXG7ubkRFBSEVqulcePGlC9fniFDhuDo6Kg2MqdPn06dOnVo2bIl/v7+vPvuu1SpUiXLfDt06KDGU7VqVa5evUq/fv300nz//fc8ePCAypUr07VrVwYNGkSRIkX00sycOZNdu3bh4eGh9ozNmjWLggULUqtWLVq2bEmTJk2oXLlylvGYmprSoUMH1qxZY7Bt4sSJrF27lgoVKrBq1Sp++umnTHsYX/Q6Pc3CwoKdO3dSpEgRmjdvTvny5Zk2bZr6RUabNm2YO3cuM2bMoFy5cnz33XcsX76cevXqZXm+GdFoNGzfvp333nuPnj17UqFCBTp16kRkZCRFixYFUh+1sn79erZs2UKlSpVo0KCBOosvwP/93/8RERGBt7e3et9whQoV2LdvH2FhYdSpUwdfX1/Gjx+vd1/r8uXLcXNzo27dunzwwQf06dPH4FoHBwcTHR1Nu3btcnxu4hVmUeDJ4x5Cf3u+PM789ygs6f0UIvd5pz2O5SU3QGNuwMNI0JjAWy+5p1WI150ilOjoaAVQoqOjDbbFx8cr586dU+Lj43PlWDqdTomLi1N0Ol2u5PeqxiBx6NNqtcrx48cVJycnJSIiIt/iMIayMJY4no6hffv2yuTJk7PcJ7ffLxRFUVJSUpTTp08rKSkpuZbn80hISFACAwOVhISEfI0jX8rj+BpFmWCvKAtq5jyG6OuKMsEhdf8HkbkalrHUDWOI442un0YaR57FEH099fU1wUFRHt97eXGc/iX1OIvefa7dpY4aVwwSh77cqJ9ZtaeeJj2gQhiJIkWKsGTJEq5cuZLfoYinJCUlUb58eYYOHZrfoYj8UKoJmJhB1Dm4Z3hPdZbObgYU8KgBjhk/B1gI8QLs3aBIOUCBi3te3nHU+z9rvbxjCPGGkAaoEEakTZs22Xo+p8hbFhYWjB07NsP7QsUbwMYJPN9N/Tunw3DP/JL6W4bfCvHylGyQ+vvC7pd3jMj/nlEu938K8cKkASqEEEI8y9v/PSf5zEaI+BuzuKhn73P/Mlz/J/WesbJtXmp4QrzRSvqn/r64GxQl67TPIyEabv83cWIxmQFXiBclj2FJR6vVGjzCQavVoiiK+vOi0vLIjbxe5RgkDsMYNBpNrtWzF4kj/e83OY7niSHt+mX0XvK80vLJrfxeJA4zM7NcPbfnjSP97zxTqhmm24fDrZOYrm5NaUzQMhNtle6Z7qI5vQETQPGsg87GGXI5ZmOqG/kdxxtfP40wjjyNwb06JuY2aGJvo71xClzeyd04IoMxRUEp6IXOpvBzvZaljhpXDBKHYQwvWj9zsp9Gye9PmvlowYIFLFiwAK1WS1hYGMHBwdja2uql0el0KIpC8eLFsbS0zKdIhRCvgsTERCIjI9FoNM98FJB4tZjFRVF6e1vSPwVU0ZhwvtkGUmyKZLhPyV3dsIq+yPUqo3jg1TJvAhXiDVXswAjsbx3kvmcrosr2yPR1+TyKnPmOIv+u4kHx5lyv9kWu5SvE6yQ2NhY/Pz+io6OzfPIGvOE9oAMGDGDAgAHExMTg4OBA6dKlDQosISGByMhILC0tsbJ68ed3KopCYmIilpaWaJ7ngea5wBhikDj06XQ6oqKiKFKkSL42XIyhLIwljueNwdzcnOLFi+fK+wWgfkFWqlSpDJ/jm1cSExOZPXs2Q4cOzdcv4/KtPCLu8nQt0Cg6fGIPQcUhYPZUmUSFYhp9EcXEHJf6n+BiXTDXQzKWumEMcbzx9dMI48jrGDT/usItcIrYQsHIrSjvz0bx7ZorcZgcDgfAoXwT7DN5bvazSB01rhgkDn25UT9jYmKynfaNboA+zdTU1ODCm5qaotFo1J/cktv5vaoxSBxPjp02DPdNLwtjiyMnMaSlzei95EW9jDxzevyUlJR8jyN9PHkah7NP6r2cik4/jv1fwZHFUL49+HYB14qpG06sBkBTvDamts4vNbQ39po8dew3un4acRx5EkP0dTi7SV3UKDo024aBTyOwdXmxOFIS4foxAEw834XnPBepo8YZg8Tx5NgvWj9zsp+MERNCCCGexcEdWs4FTeo/WAUTdN7+YOcK8Q/g8Hfw3Xuw6F34pSeEfJu63+V9cGxVPgYuxBvg/kWDL4dQtHD/0ovnfeM4aBOhQGEo5P3i+QkhpAdUCCGEyJbK3cC7Idq7Fwi/p8WnSl3QkPrsweM/wPntcPt06o9Kgd+GgHfD1EasECL3OXkbjlDQmIBTiRfP+0q6x68YwcggIV4H0gMqRCY0Gg2bN28GICIiAo1Gw4kTJ547v9zIQwiRzxzcwfPdJxOcmJimDvNrvxI+Ow81+hnuk1s9MUKIjD01QgEAlwq586WP+vxPefyKELlFGqCvqYCAAL17V9N+Lly4AECfPn1o27ZtpvvHx8czYcIESpUqhaWlJc7Oznz00UecPXtWL11gYKDefW8eHh706dOH+/fv66Xz9PRkzpw56vLJkydp3bo1xYsXx9raGk9PTzp06EBUVDaerZcPPDw8uHnzJu+8886zE5Na/m3atHmhPIQQrxgbJ6g1KLXnJT2Nae70xAghMle5Gww5Da0WABq4eQKuhLxYnjodXD2U+rc0QIXINUbZAF2wYAGenp5YWVlRo0YNDh8+nGnaJUuWUKdOHQoWLEjBggXx9/fPMn2+ir4Ol/dDzI08OVzTpk25efOm3o+Xl9cz90tMTMTf359ly5bx5ZdfEhYWxvbt20lJSaFGjRocOnRIL325cuW4efMmV65cYfny5fzxxx98+umnmeZ/584dGjZsiJOTE7/++ivnzp1j+fLluLm58fjx4xc+7/SSk5NzJR9TU1NcXFwwM3v+Ueu5kYcQwsg93ROjMYWWc2T4rRB5wcEdKn8MlbumLu/8Al7kaYOX90NCNJhZp/aoCiFyhdE1QH/++WeGDRvGhAkTOHbsGBUrVqRJkyaZ9ozt3buXTp068ddffxEcHIyHhweNGzfm+vXrLydARYGkxzn/ObwE5ryDZlUrrL6tCkeW5jyPHL6JWlpa4uLioveTnRmq5syZQ3BwMFu3bqV9+/YUL16c6tWrs2HDBsqUKUOvXr1I//hYMzMzXFxccHd3x9/fn48++ohdu3Zlmn9QUBDR0dEsWbKESpUq4eXlRf369Zk9e3aWDWRPT08mTZpEp06dKFCgAO7u7ixYsEAvjUajYdGiRbRq1YoCBQowefJkAH799VcqV66MlZUVJUqUYOLEiaSkpKj7Xbhwgbp162JlZUXZsmUN4s9o+OzZs2dp0aIF9vb22NnZUadOHS5evEhgYCArV67k119/VXuH9+7dm2Ee+/bto3r16lhbW+Pr68vo0aP14qpXrx6DBg3i888/x8nJCRcXFwIDAzMtIyGEEUjriem+NfV35W75HZEQb5b6X4C5DVw7AqG/Pl8ex1bB6japf6fEw8k1uRaeEG86o+uKmTVrFp988gk9evQA4Ntvv2Xbtm0sW7aMUaNGGaT/8ccf9ZaXLl3Khg0b2L17N926vYR/+slxMMXthbLQKDrYPjz1JyfG3ACLAi907OxYs2YNjRo1omLFinrrTUxMGDp0KF26dOHkyZNUqlTJYN+IiAh27NiBhYVFpvm7uLiQkpLCpk2baNGiRY5imz59OmPGjGHixIns2LGDwYMHU6pUKRo1aqSmCQwMZNq0acyZMwczMzP+/vtvunXrxrx589RGYp8+fQCYMGECOp2OTp064eLiQkhICNHR0QwZMiTLOK5fv857771HvXr12LNnD/b29gQFBZGSksLw4cMJDQ0lJiaG5cuXA+Dk5MSNGzcM8mjevDkBAQGsWLGCQ4cOMXLkSKytrfUamStXrmTYsGGEhIQQHBxMQEAAtWvX1jtnIYSRcXCXXk8h8oudC9QeDHunYrLn/9DUW56z/aOvw2+DgXRf/MtkYkLkGqNqgCYlJfHPP/8wevRodZ2JiQn+/v4EBwdnK4+4uDiSk5NxcnLKNE1iYiKJiYnqctqDU59enxaToijodDp0Oh3odPnWbZx2/OxQFIWtW7dia2urrmvatCnr1q1DURT1R5dBfmFhYdSrVy/DbaVLlwbg33//pUKFCiiKwunTp7G1tUWr1ZKQkADAzJkzDfZPO1716tUZPXo0Xbp0wd7enmrVqtGgQQO6du1K0aJFszyvWrVq8fnnnwNQsmRJDhw4wKxZs2jYsKGaplOnTnTv3l1d7tmzJyNHjqRr19QhOZ6enkycOJFRo0Yxbtw4du7cyfnz5/n9999xd0/9x/Lll1/y/vvvq9c97VzS/v7mm29wcHBgzZo1mJubq/GksbKyIiEhgSJFiqjrns5jwYIFeHh4MG/ePAAcHR2Ji4tj9OjRjB07FhOT1JpWoUIFxo0bB4C3tzfffPMNf/75p94555b09SI/n79pDHE8Tww6nQ5FUUhKSsq1uLVaLcnJySQmJubrc8rS3huffo/Ma8ZQHsYQg8ShT+qn8cWR7zFU6YPF0WVoHkTgELaeRJ+3sx2H5va/WGTwWJek2+dRrJ7vub5SR40rBolDX27Uz5zsa1QN0Lt376LVag0aIUWLFuXff//NVh4jR47Ezc0Nf3//TNNMnTqViRMnGqyfNWsWVlZWeusKFChA7dq1uXv3buq9e4qCpsc/2Yoljcnj2xRZ3yK15/M/isaEqI+2oiuQdYMrPeVeDGgeZSttfHw8tWrVYurUqeo6Gxsbbt26BaQ2rBMTE9Xlpz1+/DjDbffu3QPg4cOH3Lp1i9jYWLy9vVm+fDmJiYls3LiRs2fP0q5dO739tVotMTEx6rqBAwfSuXNngoKCOH78OAsXLmTKlCnqMN+MaLVaypcvr5dvuXLlWLp0qd66kiVL6i0fP36coKAgdTgupDYUEhISuHz5MkeOHMHNzQ1TU1N1vxIlSuid5507d4DUOnrr1i0OHz5MlSpV1PJ4Wnx8vEH5Pp3HiRMnqFixIrdv31bTlC5dmtjYWI4fP467uztJSUmUKlVKL5+CBQsSGRmZ6bUT+SclJYXo6Gi2b9+e6/czG4vZs2fndwhCZErqp0ivklKR1uyk0NnvmXdWIUFjna393lMOUv+pdTo0fLNmO480f79QTFJHhTF7kfqZ1gmVHUbVAH1R06ZNY+3atezdu9egIZne6NGjGTZsmLocExODh4cHw4YNw97eXi9tYmIi165dw9nZOcs8s1YCpcUc2DoUjaJF0ZiivD+Lwm+/vBnVrK2tKViwIH5+hsdQFAULCwv1HtGnlSpVisjIyAy37dmzB4Dq1avj4uKCra0tNjY26nHq1atHixYtWLx4Mf/3f/+n7mdqaoq9vb1enkWLFqVEiRL07t2b5ORkqlSpwsqVK1mxYkWG52Rqaoqtra1eHvb29urkPmnc3Nz0luPi4ggMDMxw1t/ixYtjZ2eHiYkJRYsWVXutrK1T/0k5Ojri4uKivqicnZ1xcXHBwcEBa2vrDMsobf/ExES97U/nYWlpqeahKAq3b9+mUKFCABQuXBgXFxcsLCxwcHDQy8fKyirTa/eiFEUhMTERS0vLfO8Bze84nieGhIQEYmNj6dOnD5aWlrkSh1ar5fz585QuXTrfe0Bnz57N0KFDc+3cnocxlIcxxCBx6JP6aXxxGEMM6LToljXA+k4ow6pq0TUyvJXraSbnNmH+6ywAFDRoUFA0pmibzWBAxS7PHYrUUeOKQeLQlxv1MyYmhmnTpmUrrVE1QJ2dnTE1NdXrEQK4ffv2Mz9sz5gxg2nTpvHnn39SoULWM5VZWlpmWLgZrVcUBY1Gg4mJiTok8rlU6Q4l/VHuXyTBxh2rIiVe6gfrtMlvMoo57Zwy296xY0e++OILTp8+rXcfqE6nY+7cuZQtWxZfX181D0Avn3HjxtGgQQP69++Pm9uT+2WfPl76srWyssLb25u4uLgsyzkkJERve0hICGXKlNFb9/S1qly5MmFhYZQqVSrDPMuWLcu1a9e4ffu2Gm/aTMppeaXll/Z3xYoVWblyJVqtVh2Cm56lpSU6nc4grvR5lC1blg0bNujVg+DgYOzs7ChWrJia/ulyy+ravaj01yS/G6D5HcfzxJCWNu0LntyQVscsLS3z9R9kmszeP/OKMZSHMcQgcWRM6qfxxGEMMQBoG02CNe0wO7YcTa1Ps34k0sU98NvA1L+r90FTezDcv4zGqQTmuXTvp9RR44hB4sjYi9TPnOxnVLPgWlhYUKVKFXbv3q2u0+l07N69O8OevDRff/01kyZN4o8//qBq1ap5EerzcXAHzzpg/2KTGOWW6OhoTpw4ofdz9epVhg4dSvXq1WnZsiXr16/nypUrHDlyhA8//JDQ0FC+//77LD+Q+/n5UaFCBaZMmZLh9q1bt/Lxxx+zdetWwsPDOX/+PDNmzGD79u20bt06y5iDgoL4+uuvCQsLY8GCBaxfv57Bgwdnuc/48eNZtWoVEydO5OzZs4SGhrJ27VrGjh0LgL+/Pz4+PgQEBHDy5En+/vtvvvjiiyzzHDhwIDExMXTs2JGjR48SHh7O6tWrOX/+PJB6n+mpU6c4f/48d+/ezfBxMP379+fq1av873//499//2XHjh0EBgYybNiwl9K4FEIIId443g14VLQGGl0y/Gl4+5Xq+j+w9mPQJUO5D6DpV+DwFnjVkYmHhMhlRvcpd9iwYSxZsoSVK1cSGhrKp59+yuPHj9VZcbt166Y3SdFXX33FuHHjWLZsGZ6enty6dUu9N1Fkbe/evfj6+ur9TJw4ESsrK/bs2UO3bt0YM2YMJUuWpGnTppiamnLo0CFq1qz5zLyHDh3K0qVLuXr1qsG2smXLYmNjw/Dhw6lZsyZ+fn6sW7eOpUuXqhMFZeazzz7j6NGj+Pr68uWXXzJr1iyaNGmS5T5NmjRh69at7Ny5k2rVqlGzZk1mz55N8eLFgdReq7Vr1xIfH0/16tXp3bu33v2iGSlUqBB79uwhNjaWunXrUqVKFZYsWaL2hn7yySeULl2aqlWrUrhwYYKCggzycHd3Z/v27Rw+fBhfX19GjRpFz5491YaxEEIIIV7crQoDUDQmcG4zXAkxTHA3HH78CJIfQ4l60PZbkC+ChXhpjGoILkCHDh24c+cO48eP59atW1SqVIk//vhDnZjoypUrer1DixYtIikpiXbt2unlM2HChDf6eYmZ3UeZZvHixaxatSrTnkwbGxu+/PJLvvzyyyzzCQwMzLCcO3bsSMeOHdXliIgI9e8SJUqwePFiFEUhISEBKyurbA9xtLe3Z926dZluVzJ5VmqTJk2ybKj6+Piwf/9+vTjS5+Xp6WmQd4UKFdixY0eG+RUuXJidO3c+M766dety+PBhdDodt27dwsXFRa9+79271yCPzZs3Z3oeQgghhNCX6OCNUrEzmhM/wM4voNcuSPt/H3MTVn8AcffAtRJ0+AHM8m+IrBBvAqNrgELq8MaBAwdmuO3pD+TpGzZCCCGEEEI8Tak3Bs5uhGtHUntCy7WF+Ifww4cQfQWcvKHLL2Bpl9+hCvHak/EFQgghhBDi9WbnArX/mzNi51g4/zusbgtRZ8G2KHTdCLaF8zdGId4QRtkDKkRGpLdbCCGEEM+t1v8geAFEX4Of/rtNyMwKPt4IBT3zNTQh3iTSAE1Hq9Wi1WoN1imKov68qLQ8ciOvVzkGicMwBo1Gk2v17EXiSP/7TY7jeWJIu34ZvZc8r7R8ciu/F4nDzMwsV8/teeNI//tNjUHiMIxB6qdxxWEMMRjE8fgeJomPSD/rhKJNQmdpDy85TqmjxhWDxGEYw4vWz5zsp1Hy+5NmPlqwYAELFixAq9USFhZGcHAwtra2eml0Oh2KolCsWDGsrKzyKVIhxKsgISGBK1euvLTntAohhHh+BaL+wWv/IIP1l9+bz+MilfMhIiFeH7Gxsfj5+REdHY29vX2Wad/oBmiamJgYHBwcuH//vkGBJScnc+nSJdzd3Z9ZmNmhKAqJiYlYWlpme+bX3GYMMUgc+nQ6HVFRURQpUiRfGy7GUBbGEsfzxHDv3j2ioqIoWbJkrj1MOu0LslKlSuXrA6oTExOZPXs2Q4cOzfeHqOd3eRhDDBKHPqmfxheHMcRgEMfjW5jMq4hG0anbFY0pukEnwP7lPutT6qhxxSBx6MuN+hkTE4OTk1O2GqAyBDcdU1NTgwtvYmJCgQIFuHPnDubm5i/cOEj7UAvk+wfr/IxB4tCn0+lITk4mMTHRKBqgINckJzEoikJcXBx37tyhYMGCWFhY5Ho8Gb0/5SVTU1NSUlLyPY708eR3HMYQg8Tx5NhSP40zDmOIQY2jYDFoORd+GwKKFjSmaFrOSV2fB8eXOmp8MUgcT479ovUzJ/tJA/QZNBoNrq6uXL58mcjIyBfOT1EUkpOTMTc3z9cP1vkdg8RhGEN0dDSxsbFvfFkYSxzPE4OjoyMuLi4vOTIhhBDPrXI38G4I9y+BUwlweLk9n0IIQ9IAzQYLCwt8fHxISkp64by0Wi0XL16kePHi+Tr0Ib9jkDj0JSUlsX37dvr06fNSes+yyxjKwljiyGkM5ubmRvENqhBCiGdwcJeGpxD5SBqg2WRiYpIrkxBptVo1r/z8YJ3fMUgc+jQaDY8fP8bS0jLf7w3J77IwljiMIQYhhBBCiNeNTNMohBBCCCGEECJPSANUCCGEEEIIIUSekAaoEEIIIYQQQog8IfeAkjrbJaQ+v+Zl02q1xMbGEhMTk6/3tuV3DBKHvsTERBISEoiJicn3e0DzuyyMJQ5jiMGY4pA6alwxSBz6pH4aXxzGEIMxxSF11LhikDj05Ub9TGtHpbWrsqJRspPqNXft2jU8PDzyOwwhhBBCCCGEeGVdvXqVt956K8s00gAFdDodN27cwM7OLk+eOVitWjWOHDny0o9j7DFIHE/ExMTg4eHB1atXsbe3z7c4IP/LwpjiMIYYjCUOqaPGF4PE8YTUT+OMwxhiMJY4pI4aXwwSxxO5UT8VReHRo0e4ublhYpL1XZ4yBJfUR6w8q6Wem0xNTfP9zccYYpA4DNnb2+d7HMZSFsYQhzHEYExxgNRRY4pB4jAk9dO44jCGGIwpDpA6akwxSByGXrR+Ojg4ZCudTEKUDwYMGJDfIRhFDCBxGCNjKQtjiMMYYgDjicNYGEN5GEMMIHEYI2MpC2OIwxhiAOOJw1gYQ3kYQwwgceQXGYIrhBGIiYnBwcGB6Ohoo/gGTIinSR0VxkzqpzB2UkeFMcvr+ik9oEIYAUtLSyZMmJCvM+MJkRWpo8KYSf0Uxk7qqDBmeV0/pQdUCCGEEEIIIUSekB5QIYQQQgghhBB5QhqgQgghhBBCCCHyhDRAhRBCCCGEEELkCWmACiGEEEIIIYTIE9IAFUIIIYQQQgiRJ6QBKoQQQgghhBAiT0gDVAghhBBCCCFEnpAGqBBCCCGEEEKIPCENUCGEEEIIIYQQeUIaoEIIIYQQQggh8oQ0QIUQQgghhBBC5AlpgAohhBBCCCGEyBPSABVCCCGEEEIIkSekASqEEOKVsHfvXjQaDb/88kt+h5Itt2/fpl27dhQqVAiNRsOcOXPy5LgrVqxAo9EQERGRJ8d73QQGBqLRaPI7DCGEeG1JA1QIIYQqrfFiZWXF9evXDbbXq1ePd955Jx8ie/UMHTqUHTt2MHr0aFavXk3Tpk0zTavRaNQfExMT3NzcaNy4MXv37s27gIFz584RGBj42jVePT099crYysoKHx8fRowYwf379/M7PCGEeKNIA1QIIYSBxMREpk2blt9hvNL27NlD69atGT58OB9//DFvv/12lukbNWrE6tWrWblyJf369ePUqVM0aNCA33//PUfH7dq1K/Hx8RQvXjzHMZ87d46JEye+dg1QgEqVKrF69WpWr17NN998g7+/P3PmzDH4YmDs2LHEx8fnU5RCCPH6M8vvAIQQQhifSpUqsWTJEkaPHo2bm1t+h5OnHj9+TIECBV44n6ioKBwdHbOdvlSpUnz88cfqctu2balQoQJz5syhWbNm2c7H1NQUU1PTnIT6yktJSUGn02FhYZFpGnd3d73y7d27N7a2tsyYMYPw8HB8fHwAMDMzw8xMPh4JIcTLIj2gQgghDIwZMwatVvvMXtCIiAg0Gg0rVqww2KbRaAgMDFSX0+6tCwsL4+OPP8bBwYHChQszbtw4FEXh6tWrtG7dGnt7e1xcXJg5c2aGx9RqtYwZMwYXFxcKFChAq1atuHr1qkG6kJAQmjZtioODAzY2NtStW5egoCC9NGkxnTt3js6dO1OwYEHefffdLM/50qVLfPTRRzg5OWFjY0PNmjXZtm2buj1tGLOiKCxYsEAd9plT5cuXx9nZmcuXL6vr9uzZQ506dShQoACOjo60bt2a0NBQvf0yugfU09OTFi1acODAAapXr46VlRUlSpRg1apVevt99NFHANSvX1+NO20Y8NGjR2nSpAnOzs5YW1vj5eVFz549n3keacfeuXMnlSpVwsrKirJly7Jx40aDtA8fPmTIkCF4eHhgaWlJyZIl+eqrr9DpdGqatDo3Y8YM5syZg7e3N5aWlpw7dy5b5Zqei4sLgF6DM6N7QDUaDQMHDmTz5s288847WFpaUq5cOf74448cH1MIId500gAVQghhwMvLi27durFkyRJu3LiRq3l36NABnU7HtGnTqFGjBl9++SVz5syhUaNGuLu789VXX1GyZEmGDx/O/v37DfafPHky27ZtY+TIkQwaNIhdu3bh7++vN2xyz549vPfee8TExDBhwgSmTJnCw4cPadCgAYcPHzbI86OPPiIuLo4pU6bwySefZBr77du3qVWrFjt27KB///5MnjyZhIQEWrVqxaZNmwB47733WL16NfBkWG3ack48ePCABw8eUKhQIQD+/PNPmjRpQlRUFIGBgQwbNoyDBw9Su3btbA2ZvXDhAu3ataNRo0bMnDmTggULEhAQwNmzZ9W4Bw0aBKR+AZEWd5kyZYiKiqJx48ZEREQwatQo5s+fT5cuXTh06FC2ziU8PJwOHTrQrFkzpk6dipmZGR999BG7du1S08TFxVG3bl1++OEHunXrxrx586hduzajR49m2LBhBnkuX76c+fPn06dPH2bOnImTk1OWMSQnJ3P37l3u3r3LtWvX+O2335g1axbvvfceXl5ezzyHAwcO0L9/fzp27MjXX39NQkICH374Iffu3ctWGQghhPiPIoQQQvxn+fLlCqAcOXJEuXjxomJmZqYMGjRI3V63bl2lXLly6vLly5cVQFm+fLlBXoAyYcIEdXnChAkKoPTp00ddl5KSorz11luKRqNRpk2bpq5/8OCBYm1trXTv3l1d99dffymA4u7ursTExKjr161bpwDK3LlzFUVRFJ1Op/j4+ChNmjRRdDqdmi4uLk7x8vJSGjVqZBBTp06dslU+Q4YMUQDl77//Vtc9evRI8fLyUjw9PRWtVqt3/gMGDMhWvoDSq1cv5c6dO0pUVJQSEhKiNGzYUAGUmTNnKoqiKJUqVVKKFCmi3Lt3T93v5MmTiomJidKtWzd1Xdo1vHz5srquePHiCqDs379fXRcVFaVYWloqn332mbpu/fr1CqD89ddfevFt2rRJrRc5lXbsDRs2qOuio6MVV1dXxdfXV103adIkpUCBAkpYWJje/qNGjVJMTU2VK1euKIrypM7Z29srUVFROYrh6Z/atWsrd+/e1UubVifSAxQLCwvlwoUL6rqTJ08qgDJ//vzsFYQQQghFURRFekCFEEJkqESJEnTt2pXFixdz8+bNXMu3d+/e6t+mpqZUrVoVRVHo1auXut7R0ZHSpUtz6dIlg/27deuGnZ2dutyuXTtcXV3Zvn07ACdOnCA8PJzOnTtz7949tdfr8ePHNGzYkP379+sN6QTo169ftmLfvn071atX1xuma2trS58+fYiIiHiuYaBpvv/+ewoXLkyRIkWoUaMGQUFBDBs2jCFDhnDz5k1OnDhBQECAXk9fhQoVaNSokXruWSlbtix16tRRlwsXLpxpGT8t7V7WrVu3kpycnONzc3Nzo23btuqyvb093bp14/jx49y6dQuA9evXU6dOHQoWLKhes7t37+Lv749WqzXoDf/www8pXLhwtmOoUaMGu3btYteuXWzdupXJkydz9uxZWrVqla1Jh/z9/fH29laXK1SogL29fbbKTwghxBNyl70QQohMjR07ltWrVzNt2jTmzp2bK3kWK1ZMb9nBwQErKyucnZ0N1mc0vDFtspg0Go2GkiVLqsNQw8PDAejevXumMURHR1OwYEF1OTtDMAEiIyOpUaOGwfoyZcqo25/3MTWtW7dm4MCBaDQa7OzsKFeunDoZUmRkJAClS5fO8Ng7dux45uRJT5c7QMGCBXnw4MEzY6tbty4ffvghEydOZPbs2dSrV482bdrQuXNnLC0tn7l/yZIlDe6rLFWqFJB6T6eLiwvh4eGcOnUq00ZlVFSU3nJ2r1kaZ2dn/P391eX333+f0qVL065dO5YuXcr//ve/LPd/kfITQgjxhDRAhRBCZKpEiRJ8/PHHLF68mFGjRhlsz2xyHa1Wm2meGc3QmtmsrYqiZDPSJ9J6N6dPn06lSpUyTGNra6u3bG1tnePj5La33npLr4GU216kjDUaDb/88guHDh3it99+Y8eOHfTs2ZOZM2dy6NAhg/J8HjqdjkaNGvH5559nuD2twZomN65Zw4YNAdi/f/8zG6C5WUeFEOJNJg1QIYQQWRo7diw//PADX331lcG2tF7Ehw8f6q1P67F7GdJ6ONMoisKFCxeoUKECgDpM0t7ePtcbdMWLF+f8+fMG6//99191+8uQlm9mx3Z2ds6VR8c8a7bemjVrUrNmTSZPnsyaNWvo0qULa9eu1RtWnZELFy6gKIpe/mFhYUDqLLmQet1iY2NfaiP8aSkpKQDExsbm2TGFEOJNJ/eACiGEyJK3tzcff/wx3333nXq/Xhp7e3ucnZ0N7s9buHDhS4tn1apVPHr0SF3+5ZdfuHnzpvqszCpVquDt7c2MGTMybFjcuXPnuY/dvHlzDh8+THBwsLru8ePHLF68GE9PT8qWLfvceWfF1dWVSpUqsXLlSr3G/pkzZ9i5cyfNmzfPleOkNWKf/kLhwYMHBj19ab3LiYmJz8z3xo0b6izBADExMaxatYpKlSqpj0Jp3749wcHB7Nixw2D/hw8fqo3F3PTbb78BULFixVzPWwghRMakB1QIIcQzffHFF6xevZrz589Trlw5vW29e/dm2rRp9O7dm6pVq7J//361d+tlcHJy4t1336VHjx7cvn2bOXPmULJkSfXxKSYmJixdupRmzZpRrlw5evTogbu7O9evX+evv/7C3t5ebXjk1KhRo/jpp59o1qwZgwYNwsnJiZUrV3L58mU2bNiAicnL+153+vTpNGvWDD8/P3r16kV8fDzz58/HwcFB73mrL6JSpUqYmpry1VdfER0djaWlJQ0aNGDNmjUsXLiQtm3b4u3tzaNHj1iyZAn29vbZavyWKlWKXr16ceTIEYoWLcqyZcu4ffs2y5cvV9OMGDGCLVu20KJFCwICAqhSpQqPHz/m9OnT/PLLL0RERBjcJ5wT169f54cffgAgKSmJkydP8t133+Hs7PzM4bdCCCFyjzRAhRBCPFPJkiX5+OOPWblypcG28ePHc+fOHX755RfWrVtHs2bN+P333ylSpMhLiWXMmDGcOnWKqVOn8ujRIxo2bMjChQuxsbFR09SrV4/g4GAmTZrEN998Q2xsLC4uLtSoUYO+ffs+97GLFi3KwYMHGTlyJPPnzychIYEKFSrw22+/8f777+fG6WXK39+fP/74gwkTJjB+/HjMzc2pW7cuX331VY4n5MmMi4sL3377LVOnTqVXr15otVr++usv6taty+HDh1m7di23b9/GwcGB6tWr8+OPP2br2D4+PsyfP58RI0Zw/vx5vLy8+Pnnn2nSpImaxsbGhn379jFlyhTWr1/PqlWrsLe3p1SpUkycOBEHB4cXOrcTJ07QtWtXIPVLCmdnZz744AMmTZqEu7v7C+UthBAi+zSK3D0vhBBCiJfE09OTd955h61bt+Z3KEIIIYyA3AMqhBBCCCGEECJPSANUCCGEEEIIIUSekAaoEEIIIYQQQog8IfeACiGEEEIIIYTIE9IDKoQQQgghhBAiT0gDVAghhBBCCCFEnpDngAI6nY4bN25gZ2eHRqPJ73CEEEIIIYQQ4pWhKAqPHj3Czc0NE5Os+zilAQrcuHEDDw+P/A5DCCGEEEIIIV5ZV69e5a233soyTb42QPfv38/06dP5559/uHnzJps2baJNmzYAJCcnM3bsWLZv386lS5dwcHDA39+fadOm4ebmpuZx//59/ve///Hbb79hYmLChx9+yNy5c7G1tc12HHZ2dkBqgdnb2+fqOQqRHcnJyezcuZPGjRtjbm6e3+EIYUDqqDBmUj+FsZM6KoxZbtTPmJgYPDw81HZVVvK1Afr48WMqVqxIz549+eCDD/S2xcXFcezYMcaNG0fFihV58OABgwcPplWrVhw9elRN16VLF27evMmuXbtITk6mR48e9OnThzVr1mQ7jrRht/b29tIAFfkiOTkZGxsb7O3t5R+TMEpSR4Uxk/opjJ3UUWHMcrN+Zud2xnxtgDZr1oxmzZpluM3BwYFdu3bprfvmm2+oXr06V65coVixYoSGhvLHH39w5MgRqlatCsD8+fNp3rw5M2bM0OspFUIIIYQQQgiRv16pe0Cjo6PRaDQ4OjoCEBwcjKOjo9r4BPD398fExISQkBDatm2bYT6JiYkkJiaqyzExMUBq6z85OfnlnYAQmUird1L/hLGSOiqMmdRPYeykjgpjlhv1Myf7vjIN0ISEBEaOHEmnTp3UYbK3bt2iSJEieunMzMxwcnLi1q1bmeY1depUJk6caLB+586d2NjY5G7gQuTA073+QhgbqaPCmEn9FMZO6qgwZi9SP+Pi4rKd9pVogCYnJ9O+fXsURWHRokUvnN/o0aMZNmyYupx202zjxo0zvQdUq9WSkpKCoigvfHwhnpaSksLBgwepVasWZmavxMtSpKPRaDA1NcXU1PS1fZRTcnIyu3btolGjRnL/kjA6Uj+FsZM6KoxZbtTPtBGl2WH0n3TTGp+RkZHs2bNHr4Ho4uJCVFSUXvqUlBTu37+Pi4tLpnlaWlpiaWlpsN7c3DzDQo+NjeXatWvS+BQvjaIouLi4cPPmzde2AfMmsLGxwdXVFQsLi/wO5aXJ7H1SCGMg9VMYO6mjwpi9SP3MyX5G3QBNa3yGh4fz119/UahQIb3tfn5+PHz4kH/++YcqVaoAsGfPHnQ6HTVq1MiVGLRaLdeuXcPGxobChQtL40C8FDqdjtjYWGxtbZ/58F5hfBRFISkpiTt37nD58mV8fHzkOgohhBBCZCBfG6CxsbFcuHBBXb58+TInTpzAyckJV1dX2rVrx7Fjx9i6dStarVa9r9PJyQkLCwvKlClD06ZN+eSTT/j2229JTk5m4MCBdOzYMddmwE1OTkZRFAoXLoy1tXWu5CnE03Q6HUlJSVhZWUnD5RVlbW2Nubk5kZGR6rUUQgghhBD68rUBevToUerXr68up92X2b17dwIDA9myZQsAlSpV0tvvr7/+ol69egD8+OOPDBw4kIYNG2JiYsKHH37IvHnzcj1W6fkUQjyLfHkgXkuBDllsi867OIQQQrwW8rUBWq9evSzvq8zOPZdOTk6sWbMmN8MSQgghhBBCCPESyNf1QgghhBBCCCHyhDRAxWupXr16DBkyJEf7BAYGGgz3zmv16tWTHv1csnfvXjQaDQ8fPgTgjz/+oFKlSuh0uvwNTAghhBDiDWbUs+Aas3379uXp8erWrZuj9AEBAaxcuZK+ffvy7bff6m0bMGAACxcupHv37qxYsSIXo3zzaDQaNm3aRJs2bV44r+3bt3P79m06duz44oG9ovbu3Uv9+vV58OABjo6OuZp306ZNGTduHD/++CNdu3bN1byFEEIIIUT2SA/oa8zDw4O1a9cSHx+vrktISGDNmjUUK1YsHyPLnqSkpPwOIU8tXryYgIAAo5/IRqvVZtiL+Cpcr4CAgJcySZkQQgghhMge4/6kK15I5cqV8fDwYOPGjeq6jRs3UqxYMXx9ffXS6nQ6pk6dipeXF9bW1lSsWJFffvlF3a7VaunVq5e6vXTp0sydO1cvj71791K9enUKFCiAo6MjtWvXJjIyEkj94P90L+GQIUPU2YwhdfjpwIEDGTJkCM7OzjRp0gSAM2fO0KxZM2xtbSlatChdu3bl7t276n6PHz+mW7du2Nra4urqysyZM7NVPtOmTaNo0aLY2dnRq1cvEhIS9LYfOXKERo0a4ezsjIODA3Xr1uXYsWPqdk9PTwDatm2LRqNRly9evEjr1q0pWrQotra2VKtWjT///DPLWO7cucP+/ftp0aKFui4iIgKNRsOJEyfUdQ8fPkSj0bB3717gyTDT3bt3U7VqVWxsbKhVqxbnz5/Xy/+3336jWrVqWFlZ4ezsTNu2bdVtDx48oFu3bhQsWBAbGxuaNWtGeHi4un3FihU4OjqyZcsWypYti6WlJVeuXMHT05NJkybRrVs37O3t6dOnDwAHDhygTp06WFtb4+HhwaBBg3j8+LGaX2JiIiNHjsTDwwNLS0tKlizJ999/T0REhDordsGCBdFoNAQEBADPrp+Q2oNcqlQprK2tqV+/PhEREQbl3LJlS44ePcrFixezvB5CCCGEEOLlkAboa65nz54sX75cXV62bBk9evQwSDd16lRWrVrFt99+y9mzZxk6dCgff/yxOtRYp9Px1ltvsX79es6dO8f48eMZM2YM69atAyAlJYU2bdpQt25dTp06RXBwMH369Mnx42tWrlyJhYUFQUFBfPvttzx8+JAGDRrg6+vL0aNH+eOPP7h9+zbt27dX9xkxYgT79u3j119/ZefOnezdu1evoZiRdevWERgYyJQpUzh69Ciurq4sXLhQL82jR4/o3r07Bw4c4NChQ/j4+NC8eXMePXoEpDZQAZYvX87NmzfV5djYWJo3b87u3bs5fvw4TZs2pWXLlly5ciXTeA4cOICNjQ1lypTJUXml+eKLL5g5cyZHjx7FzMyMnj17qtu2bdtG27Ztad68OcePH2f37t1Ur15d3R4QEMDRo0fZsmULwcHBKIpC8+bNSU5OVtPExcXx1VdfsXTpUs6ePUuRIkUAmDFjBhUrVuT48eOMGzeOixcv0rRpUz788ENOnTrFzz//zIEDBxg4cKCaV7du3fjpp5+YN28eoaGhfPfdd9ja2uLh4cGGDRsAOH/+PDdv3lS/5HhW/bx69SoffPABLVu25MSJE/Tu3ZtRo0YZlFOxYsUoWrQof//993OVsxBCCCGEeDFyD+hr7uOPP2b06NFqT2RQUBBr165Ve9AgtUdqypQp/Pnnn/j5+QFQokQJDhw4wHfffUfdunUxNzdn4sSJ6j5eXl4EBwezbt062rdvT0xMDNHR0bRo0QJvb2+A52pM+fj48PXXX6vLX375Jb6+vkyZMkVdt2zZMjw8PAgLC8PNzY3vv/+eH374gYYNGwKpjdi33nory+PMmTOHXr160atXL/U4f/75p14vaIMGDfT2Wbx4MY6Ojuzbt48WLVpQuHBhABwdHXFxcVHTVaxYkYoVK6rLkyZNYtOmTWzZskWvIZbelStXKFy48HMPv508ebJ6n/CoUaN4//33SUhIwMrKismTJ9OxY0e965cWX3h4OFu2bCEoKIhatWoBqc/W9fDwYPPmzXz00UcAJCcns3DhQr3zSiujzz77TF3u3bs3Xbp0USeA8vHxYd68edStW5dFixZx5coV1q1bx65du/D39wdS61oaJycnAIoUKaLeA5qd+rlo0SK8vb3V3u/SpUtz+vRpvvrqK4OycnNzU18PQgghhBAib0kD9DVXuHBh3n//fVasWIGiKLz//vs4Ozvrpblw4QJxcXE0atRIb31SUpLeUN0FCxawbNkyrly5Qnx8PElJSeqssU5OTgQEBNCkSRMaNWqEv78/7du3x9XVNUfxVqlSRW/55MmT/PXXX9ja2hqkvXjxohpHjRo11PVOTk6ULl06y+OEhobSr18/vXV+fn789ddf6vLt27cZO3Yse/fuJSoqCq1WS1xcXJY9mZDaAxoYGMi2bdu4efMmKSkpxMfHZ7lffHw8VlZWWeablQoVKqh/p5V5VFQUxYoV48SJE3zyyScZ7hcaGoqZmZle+RUqVIjSpUsTGhqqrrOwsNA7RpqqVavqLZ88eZJTp07x448/qusURUGn03H58mVOnz6NqalpjibVyk79DA0N1TsHQG2sPs3a2pq4uLhsH18IIYQQQuQeaYC+AXr27Kn2vC1YsMBge2xsLJA6VNPd3V1vm6WlJQBr165l+PDhzJw5Ez8/P+zs7Jg+fTohISFq2uXLlzNo0CD++OMPfv75Z8aOHcuuXbuoWbMmJiYmKIqil3f6IZ5pChQoYBBby5YtM+zJcnV15cKFC9kpgufSvXt37t27x9y5cylevDiWlpb4+fk9c7Kd4cOHs2vXLmbMmEHJkiWxtramXbt2We5XqFAh9XEhadJ6Q9OXW0ZlBmBubq7+nTbsOW2iIGtr6yzjzQ5ra+sMh1NndL369u3LoEGDDNIWK1bsua5XdupnTty/f1/tvRZCCCGEEHlLGqBvgKZNm5KUlIRGo1En9kkv/cQymfVMpQ3R7N+/v7ouo4lcfH198fX1ZfTo0fj5+bFmzRpq1qxJ4cKFOXPmjF7aEydO6DWcMlK5cmU2bNiAp6cnZmaG1dXb2xtzc3NCQkLUmX0fPHhAWFhYlr1sZcqUISQkhG7duqnrDh06ZHDOCxcupHnz5kDqfYbpJz+C1IafVqs12C8gIECd6Cc2NjbDCXHS8/X15fbt2zx48IBChQoBqI2kmzdvqj196Sckyq4KFSqwe/fuDO/9LVOmDCkpKYSEhKhDcO/du8f58+cpW7Zsjo9VuXJlzp07R8mSJTPcXr58eXQ6Hfv27VOH4KZnYWEBoFem2amfZcqUYcuWLXrrnr6ekDoL9MWLFw0m4RJCCCGEEHlDGqBvAFNTU3U4pampqcF2Ozs7hg8fztChQ9HpdLz77rtER0cTFBSEvb093bt3x8fHh1WrVrFjxw68vLxYvXo1R44cwcvLC4DLly+zePFiWrVqhZubG+fPnyc8PFxt4DVo0IDp06ezatUq/Pz8+OGHHzhz5swzGwIDBgxgyZIldOrUic8//xwnJycuXLjA2rVrWbp0Kba2tvTq1YsRI0ZQqFAhihQpwhdffPHMeykHDx5MQEAAVatWpXbt2vz444+cPXtW735EHx8fVq9eTdWqVYmJiWHEiBEGvYmenp7s3r2b2rVrY2lpScGCBfHx8WHjxo20bNkSjUbDuHHjMnxsSXq+vr4UKlSIoKAgWrVqBaT2OtasWZNp06bh5eVFVFQUY8eOzTKfjEyYMIGGDRvi7e1Nx44dSUlJYfv27YwcORIfHx9at27NJ598wnfffYednR2jRo3C3d2d1q1b5/hYI0eOpGbNmgwcOJDevXtToEABzp07x65du/jmm2/w9PSke/fu9OzZk3nz5lGxYkUiIyOJioqiffv2FC9eHI1Gw9atW2nevDnW1tbZqp/9+vVj5syZjBgxgt69e/PPP/9k+IzbQ4cOqT3ZIpcEOmSxLTrv4hBCiPwk74VCZJs0QJ9TTu5hMwb29vZZbp80aRKFCxdm6tSpXLp0CUdHRypXrsyYMWMA6Nu3L8ePH6dDhw5oNBo6depE//79+f333wGwsbHh33//ZeXKldy7dw9XV1cGDBhA3759AWjSpAnjxo3j888/JyEhgZ49e9KtWzdOnz6dZVxubm4EBQUxcuRIGjduTGJiIsWLF6dp06ZqI3P69OnqUF07Ozs+++wzoqOzfrPv0KEDFy9eVOP58MMP+fTTT9mxY4ea5vvvv6dPnz7q42ymTJnC8OHD9fKZOXMmw4YNY8mSJbi7uxMREcGsWbPo2bMntWrVwtnZmZEjRxITE5NlPKampnTu3Jk1a9aoDVBInXCpV69eVKlShdKlS/P111/TuHHjLPN6Wr169Vi/fj2TJk1i2rRp2Nvb895776nbly9fzuDBg2nRogVJSUm89957bN++/Zm90xmpUKEC+/bt44svvqBOnTooioK3tzcdOnRQ0yxatIgxY8bQv39/7t27R7FixdR65u7uzsSJExk1ahQ9evSgW7durFix4pn1s1ixYmzYsIGhQ4cyf/58qlevzpQpU/RmAwb46aef6NKlCzY2NqkrbhzP/GTcpJdUvCD5QCqEENkn75lvDI3y9I15b6CYmBgcHByIjo42aKglJCRw+fJlvLy8XmiSGCGyotPpCA8Pp1atWhw7dozixYvnd0ivnbt371K6dGmOHj2q9tzndgP0dX6/SE5OZvv27TRv3lz/ywn5wJC516VsXoHzyLR+CpFXnvE6kTqaDa/Ae83rKjfqZ1btqadJD6h48xhpr1fRokVZsmQJV65ckQboSxAREcHChQufND6FEEIIIUSekwaoEEakTZs2z/0sUJG1qlWrGjw2RgghhBBC5C35pCuEEEIIIYQQIk9IA1QIIYQQQgghRJ6QBqgQQgghhBBCiDwhDVAhhBBCCCGEEHlCGqBCCCGEEEIIIfKEzIIrxOvOSB87I4QQQggh3jzSAyqEEEIIIYQQIk9ID+hz8hy1LU+PFzHt/Tw93quuXr16VKpUiTlz5mR7n8CZ37J5dwgnTpx4aXE9S7169ejXrx+dO3cGQKPRsGnTJtq0aZNh+oiICLy8vDh+/DiVKlXKu0CNXS70+np6ejJkyBCGDBlCUlISpUqV4pdffpFniYrcF+iQxbbovItDiNwk9VoIkYl87QHdv38/LVu2xM3NDY1Gw+bNm/W2K4rC+PHjcXV1xdraGn9/f8LDw/XS3L9/ny5dumBvb4+joyO9evUiNjY2D8/COAUEBKDRaOjXr5/BtgEDBqDRaAgICMj7wF4zGdXb57V9+3Zu375Nx44ds72Ph4cHN2/e5J133smVGF51np6eOfrSIbssLCwYPnw4I0eOzPW8jVagg/7P1LdS16f9FkIIIYR4DvnaAH38+DEVK1ZkwYIFGW7/+uuvmTdvHt9++y0hISEUKFCAJk2akJCQoKbp0qULZ8+eZdeuXWzdupX9+/fTp0+fvDoFo+bh4cHatWuJj49X1yUkJLBmzRqKFSuWj5FlT1JSUn6HkKcWL15MQEAAJibZf1mampri4uKCmdmrM5ghOTnZYN2rcK27dOnCgQMHOHv2bH6HIoQQQgjxysrXBmizZs348ssvadu2rcE2RVGYM2cOY8eOpXXr1lSoUIFVq1Zx48YNtccpNDSUP/74g6VLl1KjRg3effdd5s+fz9q1a7lx40Yen43xqVy5Mh4eHmzcuFFdt3HjRooVK4avr/4wRJ1Ox9SpU/Hy8sLa2pqKFSvyyy+/qNu1Wi29evVSt5cuXZq5c+fq5bF3716qV69OgQIFcHR0pHbt2kRGRgKpPbJPDyMdMmQI9erVU5fr1avHwIEDGTJkCM7OzjRp0gSAM2fO0KxZM2xtbSlatChdu3bl7t276n6PHz+mW7du2Nra4urqysyZM7NVPtO+WU7Riv7YlXqXXp9NJCFRvxF05MgRGjVqhLOzMw4ODtStW5djx46p2z09PQFo27YtGo1GXb548SKtW7emaNGi2NraUq1aNf78888sY7lz5w779++nRYsWBttu3rxJs2bNsLa2pkSJEnrXJSIiAo1Gow4bzvA6LV2jl9/eg0ep/n5XCpSsZXCdMnLt2jU6deqEk5MTBQoUoGrVqoSEhKjbFy1ahLe3NxYWFpQuXZrVq1fr7a/RaFi0aBGtWrWiQIECTJ48mcDAQCpVqsTSpUvx8vLCysoKgIcPH9K7d28KFy6Mvb09DRo04OTJk3r5/fbbb1SrVg0rKyucnZ3V94969eoRGRnJ0KFD0bhXRuNeWd3nwOHj1GnbE2tvPzw8PBg0aBCPHz9Wt0fdvU/L7oOx9vbDq2YLfty43aAcChYsSO3atVm7dm2mZSWEEK+9p0dHpP8R2fOmleGbdr7imYy22+Ty5cvcunULf39/dZ2DgwM1atQgODiYjh07EhwcjKOjo949Wf7+/piYmBASEpJhwxYgMTGRxMREdTkmJgZI7Zl5uncmOTkZRVHQ6XTodLrcPMUcyemxFUVBURR69OjB8uXL6dSpEwDLli0jICCAvXv3qucFMGXKFH788UcWLlyIj48P+/fv5+OPP6ZQoULUrVuXlJQU3N3d+fnnnylUqBAHDx6kX79+FC1alPbt25OSkkKbNm3o3bs3P/74I0lJSRw+fFg9Rlo86c9DURSDc1u5ciX9+vXj77//BlKHWDdo0IBevXoxc+ZM4uPjGTVqFO3bt1cbdcOHD2ffvn1s2rSJIkWK8MUXX3Ds2DEqVqyYSblpWLdlJ4GzvmP+5FG8W82XHzZsY/6ynyjhXVLdJzo6mq5duzJ37lwURWHWrFk0b96c8+fPY2dnR0hICC4uLnz//fc0bdoUU1NTdDodMTExNG3alEmTJmFpacnq1atp2bIloaGhmfY8HzhwABsbG95++22DmMeNG8eUKVOYPXs2P/zwAx07duTkyZOUKVNGTZtWPzO8Tn37ULRIYdq3apx6nXoNo3fnD/hxwVSSHEroXaenxcbGUrduXdzd3dm8eTMuLi4cO3aMlJQUdDodmzZtYvDgwcyePZuGDRuybds2evTogZubG/Xr11fzCQwMZMqUKcyaNQszMzOWL1/OhQsX+OWXX/jll1/UsmvXrh3W1tZs27YNBwcHFi9eTMOGDfn3339xcnJi27ZttG3bljFjxrBixQqSkpL4/fff0el0/PLLL/j6+vLJJ5/Qu1Wt1HJBw8WIqzTtMpBJnw9g6cxA7lCIQYMGMWDAAJZNGQJA96ETuHnrDrvXLcbc3Iwh474mKirKoFyqVavG33//nenrMa2uJycnY2pqmmGaV4aJld5i8n/LySZWkP598ql0+jsZ9na/UbJbNsZehsYeH09GVmQ0wkLkstelXue2Z5yvXh2VsnniTa4zRiQ33kNzsq9GSWsF5LOnJ1s5ePAgtWvX5saNG7i6uqrp2rdvj0aj4eeff2bKlCmsXLmS8+fP6+VVpEgRJk6cyKeffprhsQIDA5k4caLB+jVr1mBjY6O3zszMDBcXFzw8PLCwsFDXV5oW9Lyn+lxOjKqdo/T9+/cnOjqauXPn8s4773D48GEAatSowZkzZxg0aBAODg4sXLiQxMRESpQowaZNm6hevbqax6BBg4iLi2Pp0qUZHmPEiBFERUWxcuVKHjx4QIkSJdi6dSu1axvGmhbPjz/+qK4bPXo0p0+fZuvWrQC0aNGCR48esW/fPjXNjBkzCA4OZsOGDeq669ev884773DkyBFcXFzw9vbmu+++U+vOgwcPKFeuHN27d2fq1KkZxt64cWMqVKjAjBkz1HWNGjUiISFBbfw+TafT4enpyeLFi2natCmQ2iv2ww8/8P77WU8S5efnR48ePTIdHr5o0SIWL17M8eP6k+cULFiQHj16MGvWLL04K1SowMyZM7ly5QoVK1Zk//79lC9fPsO8c3KdnrZixQrGjx/PyZMnKViwoMH2Jk2aUKZMGb37Lnv06MHjx49Zt26deg6ffvopU6ZMUdNMmzaNWbNmce7cOZydnQEIDg6mQ4cOhIeHY2lpqaatXLkygwYNIiAggMaNG6vXICMVKlTg008/1XvtDxo0CBMTE70Yg4ODadGiBdevX+fatWtUq1aN3bt3U7lyaq9pWFgYNWrUYMqUKXp5fffddyxcuNCgVzZNUlISV69e5datW6SkpGRWrEIIIYQQr5W4uDg6d+5MdHQ09vb2WaY12h7Ql2n06NEMGzZMXY6JicHDw4PGjRsbFFhCQgJXr17F1tZWHSaYH551IZ9mbm6OmZkZJUqUoHnz5mzcuBFFUWjevDleXl6YmZlhbm6Ovb09Z8+eJS4ujg8++EAvj6SkJHx9fdVjL1y4kOXLl3PlyhXi4+NJSkqiUqVK2NvbY29vT/fu3fnwww/x9/fH39+fjz76SP3yIC2e9OdhYWGht87MzIxq1arppfn333/5+++/eestw4lPbt++jampKUlJSdSrV0/dz97entKlS2NhYZFxud06RXjYv/Tv0hL7uAh1de1Kpdl75Iy6z+3btxk3bhz79u0jKioKrVZLXFwc9+7d08vX2tpabzk2NpaJEyeyfft2bt68SUpKCvHx8dy5cyfT66jT6bCyssLOzg6NRqO37b333tPbr3bt2pw8eRJ7e3tsbW0BKFCgQBbXKZFK5UpjHxeBvSV0b9+KDz/8AP86NfF/v63edXra+fPn8fX1pXjx4gZlCBAe9i/9Or2vV45169Zl3rx5qfH8l86v7Ft6aSyTH1K8eHFKlCihrrt48SKPHz/G29tb71Dx8fHcuHEDe3t7zpw5Q9++fTMtRxMTE6ysrPSOFXrqH06FhvPL+tQGMRoTtWfz3vmDXL0UiZmZGe+VcsTkv/2qvmWBo6Njal7pjuXo6EhCQkKmx09ISMDa2pr33nsvX98vcsVTkw0lm1ixq/w8Gp0ehPnIC5mm0zP62ksK7hWR3bIx9jI09vhI/eZ9165dNGrUCHNz8/wO5/X2utTr3PaM89WrozO8skz72pE6Y/Ry4z00bURpdhhtA9TFxQVIbQSk/3B8+/Zt9XETLi4uREVF6e2XkpLC/fv31f0zYmlpqdfDksbc3Nyg0LVaLRqNBhMTkxxNDpPbcnpsjUajxt2rVy8GDhwIwIIFCzAxMdHbHhcXB8C2bdtwd3fXy8fS0hITExPWrl3LiBEjmDlzJn5+ftjZ2TF9+nRCQkLU2FasWMHgwYP5448/WLduHePGjWPXrl3UrFlTHY6Y/jzSeojSr7O1tdVbfvz4MS1btuSrr74yOEdXV1cuXLig5vF0GaWdn6HUTn8TwIQnAwA0aev/26dHjx7cu3ePuXPnUrx4cSwtLfHz8yM5OVkv36eP/fnnn7Nr1y5mzJhByZIlsba2pl27dgb7pefs7MzDhw8zjPnp/NMaqOnXp/2d4XUKHEnI8TPqua6YHcjgXh3546+DBtfpaWkjAgzjflJuBuWYLr60dHY2VgZlXaBAAYNr7erqyt69ew3icHR0xMTEBGtr62e+FjUajd6xYh/H0ffjDxnU87/ZhYuWU7cVM7vPhUuR/52Horefmle6Yz18+JDChQtnevy011ZG7yWvHF1ChqvNdQn655ZJutTEr3gZvKjslo2xl6Gxx5fOa/HaM3avS73Obdk8X3Nzc8ylbJ54k+uMEXqR99Cc7Ge0DVAvLy9cXFzYvXu32uCMiYkhJCREHRLn5+fHw4cP+eeff6hSpQoAe/bsQafTUaNGjfwK3eg0bdqUpKQkNBqNOrFPemXLlsXS0pIrV65Qt27dDPMICgqiVq1a9O/fX1138eJFg3S+vr74+voyevRo/Pz8WLNmDTVr1qRw4cKcOXNGL+2JEyeeWVkrV67Mhg0b8PT0zHCmV29vb8zNzQkJCVHvr3zw4AFhYWGZngtAmZJehBw/TbePnkz6c+jYadLPyxUUFMTChQtp3rw5AFevXtWb/AhSX2xarVZvXVBQEAEBAeo9yLGxsURERGR5nr6+vty+fZsHDx5QqFAhvW2HDh2iW7duestPTyKV/tgG1ynS8FtD33fexvedtxk9db7edXpahQoVWLp0Kffv38fJyclge5mSXgQdPUH39i31YihbtmyW55uRypUrc+vWLczMzNQJnTKKZ/fu3fTo0SPD7RYWFgbXo3L5MpwLu0RJr//uv3Ur+WTjjeO87e1JSkoK/5wKpVql1Mbp+QsRPHz40CD/M2fOZFr2QgghnoM8L1SIN06+zoIbGxvLiRMn1Bk8L1++zIkTJ7hy5QoajYYhQ4bw5ZdfsmXLFk6fPk23bt1wc3NT7/UrU6YMTZs25ZNPPuHw4cMEBQUxcOBAOnbsiJubW/6dmJExNTUlNDSUc+fOZTgxip2dHcOHD2fo0KGsXLmSixcvcuzYMebPn8/KlSsB8PHx4ejRo+zYsYOwsDDGjRvHkSNH1DwuX77M6NGjCQ4OJjIykp07dxIeHk6ZMmUAaNCgAUePHmXVqlWEh4czYcIEgwZpRgYMGMD9+/fp1KkTR44c4eLFi+zYsYMePXqg1WqxtbWlV69ejBgxgj179nDmzJlsPcpkcK9OLPt5C8t//pWwi5FMmLGIs2GX9NL4+PiwevVqQkNDCQkJoUuXLlhbW+ul8fT0ZPfu3dy6dYsHDx6o+23cuJETJ05w8uRJOnfu/MxJpHx9fSlUqBBBQYb3Fq9fv55ly5YRFhbGhAkTOHz4sNqj/bQMr9PJc+r2y1euM3rqfIKPniTy2g2D6/S0Tp064eLiQps2bQgKCuLSpUts2LCB4KOp90CO+LQbK9b9xqKV6wm/dIVZ3/3Axo0bGT58eJbnmxF/f3/8/Pxo06YNO3fuJCIigoMHD/LFF19w9OhRACZMmMBPP/3EhAkTCA0N5fTp03q9456enuzfv5/rN6O4ez/1eozs352DR08x8ItpnDhznvDwcH799Ve1DEuX9KRp/Vr0HTmZkGOn+efUOXqP+D+Daw3w999/07hx4xyfmxBCCCGESJWvPaBHjx7Vmykz7b7M7t27s2LFCj7//HMeP35Mnz59ePjwIe+++y5//PGH3r1VP/74IwMHDqRhw4aYmJjw4YcfMm/evJcee8S0rCedMTbPuod00qRJFC5cmKlTp3Lp0iUcHR2pXLkyY8aMAaBv374cP36cDh06oNFo6NSpE/379+f3338HUodq/vvvv6xcuZJ79+7h6urKgAED6Nu3L5A6Wc24ceP4/PPPSUhIoGfPnnTr1o3Tp09nGZebmxtBQUGMHDmSxo0bk5iYSPHixWnatKnayJw+fTqxsbG0bNkSOzs7PvvsM6Kjs/7WtEPrJlyMvMbnX84lITGJD5s35NNu7dgRdEJN8/3339OnTx/1cTZTpkwxaFjNnDmTYcOGsWTJEtzd3YmIiGDWrFn07NmTWrVq4ezszMiRI585Lt7U1JTOnTuzZs0aWrVqpbdt4sSJrF27lv79++Pq6spPP/2UaQ9jhtep+0f8vie1YWtjbcW/FyJYuf437j2IxtXVTe86Pc3CwoKdO3fy2Wef0bx5c1JSjNLXiAAAPS5JREFUUihbtiwLAgcB0KZpfeZOHMGM71YzeMJ0vDzcWb58ud7jdbJLo9Gwfft2vvjiC3r06MGdO3dwcXHhvffeo2jRokDqo1bWr1/PpEmTmDZtGvb29rz33ntqHv/3f/9H37598a7disTEJJTrx6hQthT7Nizhi68WUOeDXiho8Pb2pkOHDup+y2cF0nv4/1G33ScUdXbiy8/7M27W93rxBQcHEx0dTbt27XJ8bkKI15T03gkhRI4ZzSy4+SkmJgYHB4cMZ21KSEjg8uXLes8qFK+4G8cz3+aWP8MrdTod4eHh1KpVi2PHjhlO+vMiXsb5ZjfP/CrrlxBfhw4dqFixovqlTEZeq/eLpz5YJ5tYsb3iYpqf7IP5+NuZptPP4w3/AJ7dsjH2MjT2+EidQGP79u00b948b+8BfQXKJtfldr1+XcrwGeehV0cnO2eZ9rXzptWFV1BuvIdm1Z56mtHeAyrEm6Zo0aIsWbKEK1eu5G4DVLywpKQkypcvz9ChQ/M7FCGEkA/qQohXWo4boCtXrsTZ2Vl97uHnn3/O4sWLKVu2LD/99JN8cBbiBbRp0yb/Zls2wp5hY2Fx9yxje74PD/6FB09tfMPL5o0kH/6FEEKI55bjT7pTpkxRJ+cIDg5mwYIFfP311zg7O0vvgBBCCCGEEEKITOW4B/Tq1auULJn6GIPNmzfz4Ycf0qdPH2rXrv1cE48I8cqTnkMhhBC5QXrXhRBvgBz3gNra2nLv3j0Adu7cSaNGjQCwsrIiPj4+d6MTQgghhBBCCPHayHEPaKNGjejduze+vr6EhYXRvHlzAM6ePZvpw+OFEEIYCelhEUIIIUQ+ynEDdMGCBYwdO5arV6+yYcMGChUqBMA///xDp06dcj1AIfKNDK0V4s2RVcMcpHEuhBBC5JIcN0BjYmKYN2+ewUydgYGBXL16NdcCE0IIIYQQQgjxeslxA9TLy4ubN29SpEgRvfX379/Hy8sLrVaba8EJIYQQ4hUhw7szJ2Xz4t7EMnwTz1m8EXLcAFUUJcP1sbGxWFlZvXBAr4xnDdfK9ePJG01e07hXZtP3M2nTtD4RV2/gVbMFx3f8RKV3Sj9XfhEREXh5eXH8+HEqVaqUu8EKIYQQQgjxCsh2A3TYsGEAaDQaxo8fj42NjbpNq9USEhIiH6qNSEBAACtXrjRYHx4eTsmSJQkICODhw4ds3rw5w/3j4+OZNm0aP/30E5GRkdjZ2VG/fn0CAwMpV66cmi4wMJCJEycCYGJigpubG82aNWPatGk4OTmp6Tw9PRkyZAhDhgwB4OTJk4wbN45Dhw4RExODi4sLNWrUYP78+Qa968bAw60oN4/vxNnJMVvpA4ZM4GHMIzb/8deTPDw8uHnzJs7Ozi8pSiGMmHyTL4QQrxd5XxfPKdsN0OPHUydkURSF06dPY2FhoW6zsLCgYsWKDB8+PPcjFM+tadOmLF++XG9d4cKFn7lfYmIi/v7+XLlyhZkzZ1KjRg1u377N1KlTqVGjBn/++Sc1a9ZU05crV44///wTrVZLaGgoPXv2JDo6mp9//jnD/O/cuUPDhg1p0aIFO3bswNHRkYiICLZs2cLjx49f7KSfkpycjLm5+QvnY2pqikuRF2s4mpqa4uLi8sKxCCGEEEII8arKdgP0r79Se3J69OjB3Llzsbe3f2lBidxhaWn5XA2eOXPmEBwczPHjx6lYsSIAxYsXZ8OGDdSoUYNevXpx5swZNBoNAGZmZupx3N3d+eijjwwavukFBQURHR3N0qVLMTNLrYJeXl7Ur18/y7g8PT3p1asX586dY8uWLTg6OjJmzBgGDBigptFoNCxcuJDff/+d3bt3M2LECAIDA/n111+ZOHEi586dw62oM90/asEXg3qpxw+/dIVewydy+MQ5SpQowdy5c/WOndEQ3LNnzzJy5Ej279uLoihUKleKFbMnsnrDNlau/02NB1JfP56engZDcPft28eIESM4efIkBQsWpHv37kyePFmNq169elSoUAErKyuWLl2KhYUF/fr1IzAwMOuLKIQQ4vlJz44QQrw0Js9Oom/58uXS+HzNrVmzhkaNGqmNzzQmJiYMHTqUc+fOcfLkyQz3jYiIYMeOHXo95E9zcXEhJSWFTZs2ZXpPcWamT59OxYoVOX78OKNGjWLw4MHs2rVLL01gYCBt27bl9OnT9OzZk7///ptu3boxePBgzp07x3dffcGKdb8xed73AOh0Oj74ZDgW5uaEhITw7bffMnLkyCzjuH79Ou+99x6WlpbsWfcd//z+Iz07tiYlRcvwft1o37IRTevX4ubNm9y8eZNatWplmEfz5s2pVq0ax48fZ+bMmSxbtowvv/xSL93KlSspUKAAISEhfP311/zf//2fwTkLIYQQQgjxKsjxJESPHz9m2rRp7N69m6ioKHQ6nd72S5cu5Vpw4sVs3boVW1tbdblZs2asX7/+mfuFhYVl2htZpkwZNU1aL97p06extbVFq9WSkJAAwKxZszLNv2bNmowZM4bOnTvTr18/qlevToMGDejWrRtFixbNMrbatWszatQoAEqVKkVQUBCzZ8+mUaNGaprOnTvTo0cPdblnz56MGjWK7t27A1DCqiaTRnzK55PnMmFYX/78O4R/L0Sw48cFuP3X6J4yZQrNmjXLNI4FCxbg4ODA2rVrMb9zJjUe7+LqdmsrKxKTkrPsgV64cCEeHh588803KIqCm5sbDx8+ZNSoUYwfP1591FGFChWYMGECAD4+PnzzzTfs3r1b75yFEEIIIYR4FeS4Adq7d2/27dtH165dcXV1VYcYCuNTv359Fi1apC4XKFAg2/vmpGeydOnSbNmyhYSEBH744QdOnDjB//73vyz3mTx5MsOGDWPPnj1qr+OUKVPYv38/5cuXz3Q/Pz8/g+U5c+boratatare8smTJwkKCmLy5Mn/nZwOrU5HQkIicfHxhIZfxsOtKG4uT+6Pffo4Tztx4gR16tR5oftLQ0ND8fPzQ6PRqOVdq1YtYmNjuXbtGsWKFQNSG6Dpubq6EhUV9dzHFa8pGTIoXhXPmkVe6qsQQrzWctwA/f3339m2bRu1a9d+GfGIXFSgQAFKliyZ4/1KlSpFaGhohtvS1pcqVUpdZ2FhoR5n2rRpvP/++0ycOJFJkyZleZxChQrx0Ucf8dFHHzFlyhR8fX2ZMWNGhrP35sTTDe3Y2FgmTpzIBx98kLri9ll1m5Wl5XMdw9ra+rnjy6mnG7kajcZg5IEQQgghhBCvghw3QAsWLKj3eA3x+unYsSNffPEFJ0+e1LsPVKfTMXv2bMqWLWtwf2h6Y8eOpUGDBnz66ae4ubll65gWFhZ4e3s/cxbcQ4cOGSynDQvOTOXKlTl//vyTxrjNI73tZXy8uHrjNjdv38HVLePjPK1ChQqsXLkydZbdDM/HDK1Wm2UeZcqUYcOGDXq9zQcPHsTOzo633nory33FG0J6isSbTnr2hRDitZPjBuikSZMYP348K1eu1HsWqHj1REdHc+LECb11hQoVYujQofz666+0bNlS7zEsU6ZMITQ0lD///DPLodd+fn5UqFCBKVOm8M033xhs37p1K2vXrqVjx46UKlUKRVH47bff2L59e5az50LqDLpff/01bdq0YdeuXaxfv55t27Zluc/48eNp0aIFxYoVo127dpjcvcTJc+Gc+fcCX44cgH+dGpQqUYzuQyYwfV5RYmJi+OKLL7LMc+DAgcyfP5+OHTsyuvcHONjZcujYKapXeofSJT3xfMuNHXuDOX/+PIUKFcLBwfBDVP/+/ZkzZw7/+9//6N+/PydOnCAwMJBhw4ap938KIYTIRdKgFTkldUaIXJfjBujMmTO5ePEiRYsWxdPT02B44LFjx3ItOKP2Grzp7N27F19fX711vXr1YunSpezZs4cpU6YwZswYIiMjsbOzo379+hw6dIh33nnnmXkPHTqUgIAARo4ciYeHh962smXLYmNjw2effcbVq1extLTEx8eHpUuX0rVr1yzz/eyzzzh69CgTJ07E3t6eWbNm0aRJkyz3adKkCVu3buX//u//+OqrrzA3M+Xtkp707tQGSJ3dd9PSmfQaPpHq1avj6enJvHnzaNq0aaZ5FipUiD179jBixAjqftgbU1NTKpUrRe1qlQD4pMsH7A3+h6pVqxIbG6s+hiU9d3d3tm/fzogRI1iyZAkFCxakZ8+ejB07NsvzEUIIIYQQ4lWV4wZomzZtXkIYIretWLHimduzSmNjY8OXX35p8EiQpwUGBmb4TMqOHTvSsWNHdTkiIkL9u0SJEixevDjLfDNjb2/PunXrMt2e2eRJTZo0edJQvXHcYHsp7+L8vWkZuD1pkCvXn3yZ4unhprcMqcNwd+zYkWF+hQsVZOdPC/Xyyyi+unXrcvjwYXQ6HTExMdjb2+v1fu7du9cg782bN2d4jsIIRJ2Dh3fgm48g9qr+tvRfWsk36kIIIYR4Q+W4AZr2OAghhBBCCCGEECInctwAFUIIIfJddnuRpbc5c1I2Qggh8kG2ZjpxcnLi7t27wJNZcDP7yU1arZZx48bh5eWFtbU13t7eTJo0SW8Yo6IojB8/HldXV6ytrfH39yc8PDxX4xDGISIigiFDhuR3GEIIIYQQQojnlK0e0NmzZ2NnZwfAnDlzXmY8er766isWLVrEypUrKVeuHEePHqVHjx44ODgwaNAgAL7++mvmzZvHypUr8fLyYty4cTRp0oRz585hZWWVZ7EKIYQQQgghhMhathqg3bt3z/Dvl+3gwYO0bt2a999/HwBPT09++uknDh8+DKT2fs6ZM4exY8fSunVrAFatWkXRokXZvHmz3iQ4LyqzyW2EEclgMiDVU5MBCfEyqG8T8n4hhBBCCJGh57oHVKvVsnnzZkJDQwEoV64crVq1wtTUNFeDq1WrFosXLyYsLIxSpUpx8uRJDhw4wKxZswC4fPkyt27dwt/fX93HwcGBGjVqEBwcnGkDNDExkcTERHU5JiYGgOTkZJKTk/XSKoqCoigkJiZiaWmZq+cnclvmzyZFpzOCdJlL+4JDURR02dwn+17GeeRd2Tyf/LnGscmgaJMh6THJJk+NwEj/3vL0tudJ9zLyzCJd2vkkm1i93ONm10s+35ee58ssm+zKr/N4CWWd9r/76f/hBozxnF+lOpOTY78u55xL8enVUWM/5+x6Xa6xyP57aDbyyA6NksOuvQsXLtC8eXOuX79O6dKlATh//jweHh5s27YNb2/vnEWbBZ1Ox5gxY/j6668xNTVFq9UyefJkRo8eDaT2kNauXZsbN27g6uqq7te+fXs0Gg0///xzhvkGBgYyceJEg/Vr1qzBxsbGYL2TkxMFCxakcOHCaDRZfBAVQryRFEUhKSmJu3fv8uDBAx49epTfIQkhhBBC5Jm4uDg6d+5MdHQ09vb2WabNcQ/ooEGD8Pb25tChQ+qkQ/fu3ePjjz9m0KBBbNu27fmizsC6dev48ccfWbNmDeXKlePEiRMMGTIENze3FxoKPHr0aIYNG6Yux8TE4OHhQePGjTMssOTkZK5cucK9e/ee+5giD0Rfy3ybw1v5ny4LiqKQkJCAlZVV9r/kyM/zyMOyeS75VDaFQ1dQ7sLPaMjge73R6fKYmsW5Zzfdy8gzi3TJJlbsKj+PRqcHYT7ywss7bna95PN96Xm+zLLJrvw6j5dQ1snJyezatYtGjRphbm6e+T7GeM6vUp3JybGN/ZzzOD69OjrDK0+PnWOvyzUW2Zbt99AspI0ozY4cN0D37dun1/gEKFSoENOmTaN27do5zS5LI0aMYNSoUepQ2vLlyxMZGcnUqVPp3r07Li4uANy+fVuvB/T27dtUqlQp03wtLS0zHE5rbm6eYaGbm5tTqlQpkpKSXvCMxEv1TfvMtw08mv/pspCcnMz+/ft57733sv/Cz8/zyMOyeS75UDbm5uaYrluRebr011WX8OLpXkae2UhnrkvQr6O5fdzsyqPzfWl5vsyyya78Oo+XUdbqqoz/j+c4v9cl3cvwupxzPsVnbm6OuZTNi6WTR0i9NM98D33GvtmV4waopaVlhsPLYmNjsbCwyGl2WYqLi8PERP9JMaampuo9cl5eXri4uLB79261wRkTE0NISAiffvpprsZiYmIis+oau9irmW9Lf+3yK10WTE1NSUlJwcrKKvsv4Pw8jzwsm+dihNdYCCHyXFYf1EE+rAsh8kW2ngOaXosWLejTpw8hISHqBD2HDh2iX79+tGrVKleDa9myJZMnT2bbtm1ERESwadMmZs2aRdu2bQHQaDQMGTKEL7/8ki1btnD69Gm6deuGm5sbbdq0ydVYhBBCCCGEEEK8mBz3gM6bN4/u3bvj5+en9tSkpKTQqlUr5s6dm6vBzZ8/n3HjxtG/f3+ioqJwc3Ojb9++jB8/Xk3z+eef8/jxY/r06cPDhw959913+f/27jy+5jvf4/j7pI4sIok9UUtTlBr71qY6iL3T9jLcbrQX9VDVKIIida2dXks31avVdtQyj6JDqy29YgiiiAhlqmhaqmUGMRUSRJJDvvcP49SRRU7kLDl5PR8Pj/p9f5/z/X5+v379Tj75bfHx8ZytBAAAAK7j0lV4CacL0LCwMH3xxRc6cuSI/TUs9957rxo2bFjqyVWuXFnz5s3TvHnzCo2xWCyaOXOmZs6cWerjAwAAAABKT7EL0Ly8PL322mv68ssvlZubq27dumnatGkKDAx0ZX6A7yjqN4+Tf3VfHgB8G2c5UJ4x/wGvV+x7QF999VW9/PLLCg4O1p133qm3335bMTExrswNAAAAAOBDin0GdNmyZXr33Xc1fPhwSdKmTZv08MMP689//nO+J9UCgFP4jTUAAEC5UOwC9Pjx4/rDH/5gX+7evbssFotOnjypOnVc+EJ5AADAL2oAAD6h2Kcur7+j8EZWq1U2m63UkwIAAAAA+J5inwE1xmjw4MHy9/e3t2VnZ+v5559XpUqV7G2fffZZ6WYIAABQlFl1pJYfXPtvXrbjOs4OFw9n2AG4SbEL0EGDBuVre/rpp0s1GQAAAACA7yp2Abp48WJX5gEAAAAA8HHFLkABuAmXQQEAAMBH8f4UAAAAAIBbUIACAAAAANyCAhQAAAAA4BbFuge0TZs2SkhIUJUqVTRz5kyNHz9eQUFBrs4NAFDecA80AAA+rVhnQA8fPqxLly5JkmbMmKGLFy+6NCkAAAAAgO8p1hnQVq1aaciQIXrwwQdljNHrr7+u4ODgAmOnTp1aqgkCAAAAAHxDsQrQJUuWaNq0aVq3bp0sFovWr1+vChXyf9RisVCAAgAAAAAKVKwCtHHjxlq5cqUkyc/PTwkJCapZs6ZLEwMAAAAA+JZiFaA3ysvLc0UeAAAAAAAf53QBKklHjx7VvHnzdPjwYUlS06ZNNXr0aDVo0KBUkwMAAAAA+A6n3wO6YcMGNW3aVLt371aLFi3UokULJScn63e/+502btzoihwBAAAAAD7A6TOgkyZNUmxsrGbPnp2vfeLEierRo0epJQcAAAAA8B1OnwE9fPiwhg4dmq/92Wef1aFDh0olKQAAAACA73H6DGiNGjW0f/9+NWrUyKF9//79PBkXgGtNDy1iXYb78gAAAN6tqJ8ZJH5u8CCnz4AOGzZMzz33nObMmaOvv/5aX3/9tWbPnq3hw4dr2LBhpZ7gP//5Tz399NOqVq2aAgMD1bx5c+3Zs8e+3hijqVOnKiIiQoGBgerevbt+/PHHUs8DAAAAAHB7nD4DOmXKFFWuXFlvvPGG4uLiJEm1a9fW9OnTNWrUqFJN7ty5c+rYsaOio6O1fv161ahRQz/++KOqVKlij5k7d67mz5+vpUuXKjIyUlOmTFGvXr106NAhBQQElGo+AAAAAICSc7oAtVgsio2NVWxsrC5cuCBJqly5cqknJklz5sxR3bp1tXjxYntbZGSk/e/GGM2bN0///d//rT59+kiSli1bplq1aunzzz/Xk08+6ZK8AAAAAADOK9F7QK9zVeF53ZdffqlevXrpscceU2Jiou6880698MIL9kt9jx07ptOnT6t79+72z4SGhuq+++5TUlJSoQVoTk6OcnJy7MuZmZmSJJvNJpvN5sItgkv5FXHG+8b/r14Yd33e2Ww2r8xPN/+78PYcy0Ocm8e2/XvZ5hfg/fumjO/rch1Xwj4d5qerc/SVOE+OXQ7jytT3fHmIuzm2nHOYn7fZR3FYjDGmxCO52PVLaMeOHavHHntMKSkpGj16tBYuXKhBgwZp586d6tixo06ePKmIiAj75x5//HFZLBZ98sknBfY7ffp0zZgxI1/78uXLFRQU5JqNAQAAAAAflJWVpQEDBigjI0MhISFFxnp1AVqxYkW1a9dOO3futLeNGjVKKSkpSkpKKnEBWtAZ0Lp16+rXX3+95Q6DF5tVp/B1cf/w6jjb+GPauHGjevToIevrkYXGecV2eHJs4jw2ts0vQBubz1ePA6NknXjEbeN6RZwnxy5vcSXs0zan4W/zMy/btTn6Spwnxy6HcTabrex8z5eHuJtjyzmH+Wm1lqiPzMxMVa9evVgF6G1dgutqERERatq0qUPbvffeq08//VSSFB4eLklKS0tzKEDT0tLUqlWrQvv19/eXv79/vnar1VrinQ4vcPMPHTe68f+rF8dZrdb8Pzx5UX4eH5s4j49tzct2PE56477xkX1dLuNus09rXnb+Y6i3b3MZ3dfElSyuTHzPl4e4m2Mh6fZqIWc+59RrWGw2m7p16+a215x07NhRqampDm0//PCD6tevL+naA4nCw8OVkJBgX5+Zmank5GRFRUW5JUcAAAAAQPE4dQbUarXq22+/dVUu+cTGxuqBBx7Q//zP/+jxxx/X7t279cEHH+iDDz6QdO2JvGPGjNGf/vQnNWrUyP4altq1a6tv375uyxMuxEuEAQAAAJ/h1BlQSXr66ae1aNEiV+SST/v27bVmzRqtWLFCzZo10yuvvKJ58+Zp4MCB9pgJEyboxRdf1HPPPaf27dvr4sWLio+P5x2gAAAAAOBlnL4H9MqVK/roo4+0adMmtW3bVpUqVXJY/+abb5ZacpL0yCOP6JFHHil0vcVi0cyZMzVz5sxSHRcAAAAAULqcLkC/++47tWnTRtK1+zFvZLFYSicrAAAAAIDPcboA3bJliyvyAAAAAAD4OKfvAb3uyJEj2rBhgy5fvixJ8uLXiQIAAAAAvIDTBejZs2fVrVs33XPPPfrDH/6gU6dOSZKGDh2qcePGlXqCAAAAAADf4HQBGhsbK6vVquPHjysoKMje/sQTTyg+Pr5UkwMAAAAA+A6n7wH929/+pg0bNqhOnToO7Y0aNdIvv/xSaokBAAAAAHyL02dAL1265HDm87r09HT5+/uXSlIAAAAAAN/jdAH6+9//XsuWLbMvWywW5eXlae7cuYqOji7V5AAAAAAAvsPpS3Dnzp2rbt26ac+ePcrNzdWECRN08OBBpaena8eOHa7IEQAAAADgA5w+A9qsWTP98MMPevDBB9WnTx9dunRJ/fr10759+9SgQQNX5AgAAAAA8AFOnwGVpNDQUE2ePLm0cwEAAAAA+LASFaDnzp3TokWLdPjwYUlS06ZNNWTIEFWtWrVUkwMAAAAA+A6nL8Hdtm2b7rrrLs2fP1/nzp3TuXPnNH/+fEVGRmrbtm2uyBEAAAAA4AOcPgMaExOjJ554Qu+9957uuOMOSdLVq1f1wgsvKCYmRgcOHCj1JAEAAAAAZZ/TZ0CPHDmicePG2YtPSbrjjjs0duxYHTlypFSTAwAAAAD4DqcL0DZt2tjv/bzR4cOH1bJly1JJCgAAAADge4p1Ce63335r//uoUaM0evRoHTlyRPfff78kadeuXVqwYIFmz57tmiwBAAAAAGVesQrQVq1ayWKxyBhjb5swYUK+uAEDBuiJJ54ovewAAAAAAD6jWAXosWPHXJ0HAAAAAMDHFasArV+/vqvzAAAAAAD4OKdfwyJJJ0+e1Pbt23XmzBnl5eU5rBs1alSpJAYAAAAA8C1OF6BLlizR8OHDVbFiRVWrVk0Wi8W+zmKxUIACAAAAAArkdAE6ZcoUTZ06VXFxcfLzc/otLgAAAACAcsrpCjIrK0tPPvmkR4rP2bNny2KxaMyYMfa27OxsxcTEqFq1agoODlb//v2Vlpbm9twAAAAAAEVzuoocOnSoVq1a5YpcipSSkqL3339fLVq0cGiPjY3V2rVrtWrVKiUmJurkyZPq16+f2/MDAAAAABTN6UtwZ82apUceeUTx8fFq3ry5rFarw/o333yz1JK77uLFixo4cKA+/PBD/elPf7K3Z2RkaNGiRVq+fLm6du0qSVq8eLHuvfde7dq1S/fff3+p5wIAAAAAKJkSFaAbNmxQ48aNJSnfQ4hcISYmRg8//LC6d+/uUIDu3btXNptN3bt3t7c1adJE9erVU1JSUqEFaE5OjnJycuzLmZmZkiSbzSabzeaSbUAJ+QUUvf7G/19FxXp53PV5Z7PZvDI/3fzvwttzLA9xbh7b9u9lm1+A9++bMr6vy3VcCft0mJ+uztFX4jw5djmMK1Pf8+Uh7ubYcs5hft5mH8VhMcYYZzqvUqWK3nrrLQ0ePNjZvEpk5cqVevXVV5WSkqKAgAB16dJFrVq10rx587R8+XINGTLEoZiUpA4dOig6Olpz5swpsM/p06drxowZ+dqXL1+uoKAgl2wHAAAAAPiirKwsDRgwQBkZGQoJCSky1ukzoP7+/urYsWOJk3PGiRMnNHr0aG3cuFEBAbf4LYYT4uLiNHbsWPtyZmam6tatq549e95yh8HNZtUpen3cP4oX6+VxtvHHtHHjRvXo0UPW1yO9Lj+HOE+OTZzHxrb5BWhj8/nqcWCUrBOPuG1cr4jz5NjlLa6EfdrmNPxtfuZluzZHX4nz5NjlMM5ms5Wd7/nyEHdzbDnnMD9vur2yuK5fUVocThego0eP1jvvvKP58+c7+1Gn7d27V2fOnFGbNm3sbVevXtW2bdv0v//7v9qwYYNyc3N1/vx5hYWF2WPS0tIUHh5eaL/+/v7y9/fP1261Wku80+EiN/8gcbMb/38VFVtG4qxWa/4fnrwoP4+PTZzHx7bmZTseJ71x3/jIvi6XcbfZpzUvO/8x1Nu3uYzua+JKFlcmvufLQ9zNsZB0e7WQM59zugDdvXu3Nm/erHXr1ul3v/tdvsE+++wzZ7ssVLdu3XTgwAGHtiFDhqhJkyaaOHGi6tatK6vVqoSEBPXv31+SlJqaquPHjysqKqrU8gAAAAAA3D6nC9CwsDC3veakcuXKatasmUNbpUqVVK1aNXv70KFDNXbsWFWtWlUhISF68cUXFRUVxRNwAQAAAMDLOF2ALl682BV5lNhbb70lPz8/9e/fXzk5OerVq5feffddT6cFAAAAoCyYHlrEugz35VFOOF2AetrWrVsdlgMCArRgwQItWLDAMwkBAAAAAIrF6QI0MjKyyPd9/vTTT7eVEAAAAADANzldgI4ZM8Zh2Wazad++fYqPj9dLL71UWnkBAAAAAHxMiV7DUpAFCxZoz549t50QygmutQcAAADKHb/S6uihhx7Sp59+WlrdAQAAAAB8TKkVoKtXr1bVqlVLqzsAAAAAgI9x+hLc1q1bOzyEyBij06dP61//+hevPwEAAAAAFMrpArRv374Oy35+fqpRo4a6dOmiJk2alFZeAAAAAAAf43QBOm3aNFfkAQAAAADwcaV2DygAAAAAAEUp9hlQPz8/h3s/C2KxWHTlypXbTgoAAAAA4HuKXYCuWbOm0HVJSUmaP3++8vLySiUpAAAAAIDvKXYB2qdPn3xtqampmjRpktauXauBAwdq5syZpZocAAAAAMB3lOge0JMnT2rYsGFq3ry5rly5ov3792vp0qWqX79+aecHAAAAAPARThWgGRkZmjhxoho2bKiDBw8qISFBa9euVbNmzVyVHwAAAADARxT7Ety5c+dqzpw5Cg8P14oVKwq8JBcAAAAAgMIUuwCdNGmSAgMD1bBhQy1dulRLly4tMO6zzz4rteQAAAAAAL6j2AXof/3Xf93yNSwAAAAAABSm2AXokiVLXJgGAAAAAMDXlegpuAAAAAAAOIsCFAAAAADgFhSgAAAAAAC3oAAFAAAAALhFsR9CBBTL9NAi1mW4Lw8AAAAAXoczoAAAAAAAt/DqAnTWrFlq3769KleurJo1a6pv375KTU11iMnOzlZMTIyqVaum4OBg9e/fX2lpaR7KGAAAAABQGK8uQBMTExUTE6Ndu3Zp48aNstls6tmzpy5dumSPiY2N1dq1a7Vq1SolJibq5MmT6tevnwezBgAAAAAUxKvvAY2Pj3dYXrJkiWrWrKm9e/eqU6dOysjI0KJFi7R8+XJ17dpVkrR48WLde++92rVrl+6//35PpA0AAAAAKIBXF6A3y8i49hCbqlWrSpL27t0rm82m7t2722OaNGmievXqKSkpqdACNCcnRzk5OfblzMxMSZLNZpPNZnNV+uWDX0Dh627ct6UR54o+PRR3fd7ZbDavzE83/7vw9hzLQ5ybx7b9e9nmF+D9+6aM7+tyHVfCPh3mp6tz9JU4T45dDuPK1Pd8eYgraZ8+ymF+3mYfxWExxpgSj+RGeXl5+o//+A+dP39e27dvlyQtX75cQ4YMcSgmJalDhw6Kjo7WnDlzCuxr+vTpmjFjRr725cuXKygoqPSTBwAAAAAflZWVpQEDBigjI0MhISFFxpaZM6AxMTH67rvv7MXn7YiLi9PYsWPty5mZmapbt6569ux5yx2GW5hVp/B1cf8o3ThX9OmhONv4Y9q4caN69Ogh6+uRXpefQ5wnxybOY2Pb/AK0sfl89TgwStaJR9w2rlfEeXLs8hZXwj5tcxr+Nj/zsl2bo6/EeXLschhns9nKzvd8eYgraZ8+ymF+Wq0l6uP6FaXFUSYK0JEjR2rdunXatm2b6tT5bYKEh4crNzdX58+fV1hYmL09LS1N4eHhhfbn7+8vf3//fO1Wq7XEOx3/dvMX/41u3LelEeeKPj0cZ7Va8//w5EX5eXxs4jw+tjUv2/E46Y37xkf2dbmMu80+rXnZ+Y+h3r7NZXRfE1eyuDLxPV8e4krap4+7nVrImc959VNwjTEaOXKk1qxZo82bNysy0vE3Rm3btpXValVCQoK9LTU1VcePH1dUVJS70wUAAAAAFMGrz4DGxMRo+fLl+uKLL1S5cmWdPn1akhQaGqrAwECFhoZq6NChGjt2rKpWraqQkBC9+OKLioqK4gm4AAAAAOBlvLoAfe+99yRJXbp0cWhfvHixBg8eLEl666235Ofnp/79+ysnJ0e9evXSu+++6+ZMAQAAAAC34tUFaHEe0BsQEKAFCxZowYIFbsgIAAAAAFBSXn0PKAAAAADAd1CAAgAAAADcggIUAAAAAOAWFKAAAAAAALegAAUAAAAAuAUFKAAAAADALShAAQAAAABuQQEKAAAAAHALClAAAAAAgFtQgAIAAAAA3KKCpxMAAAAAAK83PbSIdRnuy6OM4wwoAAAAAMAtKEABAAAAAG5BAQoAAAAAcAsKUAAAAACAW1CAAgAAAADcgqfgonh46hcAAACA28QZUAAAAACAW3AGFAAAAABKC1cOFokzoAAAAAAAt6AABQAAAAC4BQUoAAAAAMAtuAcUAAAAANytnN4r6jMF6IIFC/Taa6/p9OnTatmypd555x116NDB02l5v3I68QEAAAC4n09cgvvJJ59o7NixmjZtmr755hu1bNlSvXr10pkzZzydGgAAAADg33ziDOibb76pYcOGaciQIZKkhQsX6quvvtJHH32kSZMmeTg7D+HMJgAAAAAvU+YL0NzcXO3du1dxcXH2Nj8/P3Xv3l1JSUkFfiYnJ0c5OTn25YyMawVZenq6bDabaxN2l9yKha87e9Y34jw5dinH2c6eVVZWls6ePSurF+bnEOfJsYnz2Ng2v4rX5mhuRVm9fd+U8X1druNK2Kct94b5mZfn2hx9Jc6TY5fDOJvNVna+58tDnCfHLunPXi7kMD+t1hL1ceHCBUmSMeaWsRZTnCgvdvLkSd15553auXOnoqKi7O0TJkxQYmKikpOT831m+vTpmjFjhjvTBAAAAACfduLECdWpU6fImDJ/BrQk4uLiNHbsWPtyXl6e0tPTVa1aNVksFpeP3759e6WkpLh8HG/PgTx+k5mZqbp16+rEiRMKCQnxWB6S5/eFN+XhDTl4Sx7MUe/LgTx+w/z0zjy8IQdvyYM56n05kMdvSmN+GmN04cIF1a5d+5axZb4ArV69uu644w6lpaU5tKelpSk8PLzAz/j7+8vf39+hLSwszFUp5nPHHXd4/ODjDTmQR34hISEez8Nb9oU35OENOXhTHhJz1JtyII/8mJ/elYc35OBNeUjMUW/KgTzyu935GRpaxDNoblDmn4JbsWJFtW3bVgkJCfa2vLw8JSQkOFyS601iYmI8nYJX5CCRhzfyln3hDXl4Qw6S9+ThLbxhf3hDDhJ5eCNv2RfekIc35CB5Tx7ewhv2hzfkIJGHp5T5e0Cla69hGTRokN5//3116NBB8+bN01//+ld9//33qlWrlqfTA24pMzNToaGhysjI8IrfgAE3Y47CmzE/4e2Yo/Bm7p6fZf4SXEl64okn9K9//UtTp07V6dOn1apVK8XHx1N8oszw9/fXtGnT8l0aDngL5ii8GfMT3o45Cm/m7vnpE2dAAQAAAADer8zfAwoAAAAAKBsoQAEAAAAAbkEBCgAAAABwCwpQAAAAAIBbUIACLrRt2zY9+uijql27tiwWiz7//HOH9cYYTZ06VREREQoMDFT37t31448/OsSkp6dr4MCBCgkJUVhYmIYOHaqLFy+6cSvgq241PwcPHiyLxeLwp3fv3g4xzE+4yqxZs9S+fXtVrlxZNWvWVN++fZWamuoQk52drZiYGFWrVk3BwcHq37+/0tLSHGKOHz+uhx9+WEFBQapZs6ZeeuklXblyxZ2bAh9VnDnapUuXfMfR559/3iGGOQpXeO+999SiRQuFhIQoJCREUVFRWr9+vX29J4+fFKCAC126dEktW7bUggULClw/d+5czZ8/XwsXLlRycrIqVaqkXr16KTs72x4zcOBAHTx4UBs3btS6deu0bds2Pffcc+7aBPiwW81PSerdu7dOnTpl/7NixQqH9cxPuEpiYqJiYmK0a9cubdy4UTabTT179tSlS5fsMbGxsVq7dq1WrVqlxMREnTx5Uv369bOvv3r1qh5++GHl5uZq586dWrp0qZYsWaKpU6d6YpPgY4ozRyVp2LBhDsfRuXPn2tcxR+EqderU0ezZs7V3717t2bNHXbt2VZ8+fXTw4EFJHj5+GgBuIcmsWbPGvpyXl2fCw8PNa6+9Zm87f/688ff3NytWrDDGGHPo0CEjyaSkpNhj1q9fbywWi/nnP//pttzh+26en8YYM2jQINOnT59CP8P8hDudOXPGSDKJiYnGmGvHS6vValatWmWPOXz4sJFkkpKSjDHG/N///Z/x8/Mzp0+ftse89957JiQkxOTk5Lh3A+Dzbp6jxhjTuXNnM3r06EI/wxyFO1WpUsX8+c9/9vjxkzOggIccO3ZMp0+fVvfu3e1toaGhuu+++5SUlCRJSkpKUlhYmNq1a2eP6d69u/z8/JScnOz2nFH+bN26VTVr1lTjxo01YsQInT171r6O+Ql3ysjIkCRVrVpVkrR3717ZbDaHY2iTJk1Ur149h2No8+bNVatWLXtMr169lJmZaT8LAJSWm+fodR9//LGqV6+uZs2aKS4uTllZWfZ1zFG4w9WrV7Vy5UpdunRJUVFRHj9+VritTwMosdOnT0uSwz/s68vX150+fVo1a9Z0WF+hQgVVrVrVHgO4Su/evdWvXz9FRkbq6NGjevnll/XQQw8pKSlJd9xxB/MTbpOXl6cxY8aoY8eOatasmaRrx8eKFSsqLCzMIfbmY2hBx9jr64DSUtAclaQBAwaofv36ql27tr799ltNnDhRqamp+uyzzyQxR+FaBw4cUFRUlLKzsxUcHKw1a9aoadOm2r9/v0ePnxSgAIACPfnkk/a/N2/eXC1atFCDBg20detWdevWzYOZobyJiYnRd999p+3bt3s6FaBAhc3RG++Jb968uSIiItStWzcdPXpUDRo0cHeaKGcaN26s/fv3KyMjQ6tXr9agQYOUmJjo6bR4CBHgKeHh4ZKU74ljaWlp9nXh4eE6c+aMw/orV64oPT3dHgO4y913363q1avryJEjkpifcI+RI0dq3bp12rJli+rUqWNvDw8PV25urs6fP+8Qf/MxtKBj7PV1QGkobI4W5L777pMkh+MocxSuUrFiRTVs2FBt27bVrFmz1LJlS7399tseP35SgAIeEhkZqfDwcCUkJNjbMjMzlZycrKioKElSVFSUzp8/r71799pjNm/erLy8PPuXGOAu//jHP3T27FlFRERIYn7CtYwxGjlypNasWaPNmzcrMjLSYX3btm1ltVodjqGpqak6fvy4wzH0wIEDDr8o2bhxo0JCQtS0aVP3bAh81q3maEH2798vSQ7HUeYo3CUvL085OTmeP37e1iOMABTpwoULZt++fWbfvn1GknnzzTfNvn37zC+//GKMMWb27NkmLCzMfPHFF+bbb781ffr0MZGRkeby5cv2Pnr37m1at25tkpOTzfbt202jRo3MU0895alNgg8pan5euHDBjB8/3iQlJZljx46ZTZs2mTZt2phGjRqZ7Oxsex/MT7jKiBEjTGhoqNm6das5deqU/U9WVpY95vnnnzf16tUzmzdvNnv27DFRUVEmKirKvv7KlSumWbNmpmfPnmb//v0mPj7e1KhRw8TFxXlik+BjbjVHjxw5YmbOnGn27Nljjh07Zr744gtz9913m06dOtn7YI7CVSZNmmQSExPNsWPHzLfffmsmTZpkLBaL+dvf/maM8ezxkwIUcKEtW7YYSfn+DBo0yBhz7VUsU6ZMMbVq1TL+/v6mW7duJjU11aGPs2fPmqeeesoEBwebkJAQM2TIEHPhwgUPbA18TVHzMysry/Ts2dPUqFHDWK1WU79+fTNs2DCHx7Ebw/yE6xQ0NyWZxYsX22MuX75sXnjhBVOlShUTFBRk/vjHP5pTp0459PPzzz+bhx56yAQGBprq1aubcePGGZvN5uatgS+61Rw9fvy46dSpk6latarx9/c3DRs2NC+99JLJyMhw6Ic5Cld49tlnTf369U3FihVNjRo1TLdu3ezFpzGePX5ajDHm9s6hAgAAAABwa9wDCgAAAABwCwpQAAAAAIBbUIACAAAAANyCAhQAAAAA4BYUoAAAAAAAt6AABQAAAAC4BQUoAAAAAMAtKEABAAAAAG5BAQoAKNO2bt0qi8Wi8+fP31Y/gwcPVt++fUslp9Lsy5vHXrRokXr27On2fOLj49WqVSvl5eWVar8AANejAAUAeIWFCxeqcuXKunLlir3t4sWLslqt6tKli0Ps9aLz6NGjeuCBB3Tq1CmFhoa6NL/rY1osFvn5+Sk0NFStW7fWhAkTdOrUKYfYt99+W0uWLHFpPj///LMsFov279/v9rElKTs7W1OmTNG0adNcPtbNevfuLavVqo8//tjtYwMAbg8FKADAK0RHR+vixYvas2ePve3rr79WeHi4kpOTlZ2dbW/fsmWL6tWrpwYNGqhixYoKDw+XxWJxS56pqak6efKkUlJSNHHiRG3atEnNmjXTgQMH7DGhoaEKCwsrtI/c3FyX5XersUvL6tWrFRISoo4dO7p8rIIMHjxY8+fP98jYAICSowAFAHiFxo0bKyIiQlu3brW3bd26VX369FFkZKR27drl0B4dHW3/+42X4C5ZskRhYWHasGGD7r33XgUHB6t3794OZymvXr2qsWPHKiwsTNWqVdOECRNkjClWnjVr1lR4eLjuuecePfnkk9qxY4dq1KihESNG2GNuvuy0S5cuGjlypMaMGaPq1aurV69ekqTvvvtODz30kIKDg1WrVi0988wz+vXXX+2fy8vL09y5c9WwYUP5+/urXr16evXVVyVJkZGRkqTWrVvLYrHYzxLfPHZOTo5GjRqlmjVrKiAgQA8++KBSUlIc9qXFYlFCQoLatWunoKAgPfDAA0pNTS1yP6xcuVKPPvqoQ1tx9mteXp5mzZqlyMhIBQYGqmXLllq9erVDzJdffqlGjRopICBA0dHRWrp0ab7LrB999FHt2bNHR48eLTJPAIB3oQAFAHiN6Ohobdmyxb68ZcsWdenSRZ07d7a3X758WcnJyfYCtCBZWVl6/fXX9Ze//EXbtm3T8ePHNX78ePv6N954Q0uWLNFHH32k7du3Kz09XWvWrClRzoGBgXr++ee1Y8cOnTlzptC4pUuXqmLFitqxY4cWLlyo8+fPq2vXrmrdurX27Nmj+Ph4paWl6fHHH7d/Ji4uTrNnz9aUKVN06NAhLV++XLVq1ZIk7d69W5K0adMmnTp1Sp999lmB406YMEGffvqpli5dqm+++UYNGzZUr169lJ6e7hA3efJkvfHGG9qzZ48qVKigZ599tsjt3r59u9q1a+fQVpz9OmvWLC1btkwLFy7UwYMHFRsbq6efflqJiYmSpGPHjuk///M/1bdvX/3973/X8OHDNXny5Hzj16tXT7Vq1dLXX39dZJ4AAC9jAADwEh9++KGpVKmSsdlsJjMz01SoUMGcOXPGLF++3HTq1MkYY0xCQoKRZH755RdjjDFbtmwxksy5c+eMMcYsXrzYSDJHjhyx97tgwQJTq1Yt+3JERISZO3eufdlms5k6deqYPn36FJrbzePcaP369UaSSU5ONsYYM2jQIIe+OnfubFq3bu3wmVdeecX07NnToe3EiRNGkklNTTWZmZnG39/ffPjhhwXmc+zYMSPJ7Nu3z6H9xrEvXrxorFar+fjjj+3rc3NzTe3ate3bf327Nm3aZI/56quvjCRz+fLlAsc+d+6ckWS2bdvm0H6r/ZqdnW2CgoLMzp07HT43dOhQ89RTTxljjJk4caJp1qyZw/rJkycXuO9bt25tpk+fXmCOAADvVMFDdS8AAPl06dJFly5dUkpKis6dO6d77rlHNWrUUOfOnTVkyBBlZ2dr69atuvvuu1WvXr1C+wkKClKDBg3syxEREfazkxkZGTp16pTuu+8++/oKFSqoXbt2xb4M92bXP1fUfaht27Z1WP773/+uLVu2KDg4OF/s0aNHdf78eeXk5Khbt24lyul6PzabzeE+TavVqg4dOujw4cMOsS1atLD/PSIiQpJ05syZAvfz5cuXJUkBAQH2tuLs1yNHjigrK0s9evRw6C83N1etW7eWdO0e2/bt2zus79ChQ4HbFxgYqKysrEK2HgDgjShAAQBeo2HDhqpTp462bNmic+fOqXPnzpKk2rVrq27dutq5c6e2bNmirl27FtmP1Wp1WLZYLCUuLovjejF31113FRpTqVIlh+WLFy/q0Ucf1Zw5c/LFRkRE6KeffirVHG/lxn12vZAu7DUn1apVk8Vi0blz55wa4+LFi5Kkr776SnfeeafDOn9/f6f6kqT09HTVqFHD6c8BADyHe0ABAF4lOjpaW7du1datWx1ev9KpUyetX79eu3fvLvL+z1sJDQ1VRESEkpOT7W1XrlzR3r17S9Tf5cuX9cEHH6hTp05OFUNt2rTRwYMHddddd6lhw4YOfypVqqRGjRopMDBQCQkJBX6+YsWKkq49+Kcw158SvGPHDnubzWZTSkqKmjZtWuxcCxq7adOmOnTokL2tOPu1adOm8vf31/Hjx/Ntc926dSVdexjVjU9CluTw0KTrsrOzdfToUfuZUwBA2UABCgDwKtHR0dq+fbv2799vPwMqSZ07d9b777+v3Nzc2ypAJWn06NGaPXu2Pv/8c33//fd64YUXHJ6wWpQzZ87o9OnT+vHHH7Vy5Up17NhRv/76q9577z2ncoiJiVF6erqeeuoppaSk6OjRo9qwYYOGDBmiq1evKiAgQBMnTtSECRO0bNkyHT16VLt27dKiRYskXXsab2BgoP3hRRkZGfnGqFSpkkaMGKGXXnpJ8fHxOnTokIYNG6asrCwNHTrUqXxv1qtXL23fvt2h7Vb7tXLlyho/frxiY2O1dOlSHT16VN98843eeecdLV26VJI0fPhwff/995o4caJ++OEH/fWvf7W/1/TGS5x37dolf39/RUVF3dZ2AADci0twAQBeJTo6WpcvX1aTJk3sT3yVrhWgFy5csL+u5XaMGzdOp06d0qBBg+Tn56dnn31Wf/zjHwss4m7WuHFjWSwWBQcH6+6771bPnj01duxYhYeHO5VD7dq1tWPHDk2cOFE9e/ZUTk6O6tevr969e8vP79rvh6dMmaIKFSpo6tSpOnnypCIiIvT8889LunZ/5fz58zVz5kxNnTpVv//97x1eYXPd7NmzlZeXp2eeeUYXLlxQu3bttGHDBlWpUsWpfG82dOhQtWvXThkZGQoNDZVUvP36yiuvqEaNGpo1a5Z++uknhYWFqU2bNnr55ZclXXu9zOrVqzVu3Di9/fbbioqK0uTJkzVixAiHy3RXrFihgQMHKigo6La2AwDgXhbjyptiAACAz3rsscfUpk0bxcXFuXScV199VQsXLtSJEyckSb/++qv9Ut3r70MFAJQNXIILAABK5LXXXivwKb63691331VKSop++ukn/eUvf9Frr72mQYMG2df//PPPevfddyk+AaAM4gwoAADwKrGxsfrkk0+Unp6uevXq6ZlnnlFcXJwqVODOIQAo6yhAAQAAAABuwSW4AAAAAAC3oAAFAAAAALgFBSgAAAAAwC0oQAEAAAAAbkEBCgAAAABwCwpQAAAAAIBbUIACAAAAANyCAhQAAAAA4Bb/D6mhzXq2d5k8AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1100x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def estimate_biases_with_reference_wd(df_scada, fm, wd_ref):\n",
+    "    # Now use this knowledge to estimate bias for every turbine\n",
+    "    num_turbines = len(fm.layout_x)\n",
+    "    wd_bias_list = np.zeros(num_turbines)\n",
+    "\n",
+    "    for ti in range(num_turbines):\n",
+    "        # Calculate the offset between this turbine's wind direction and that\n",
+    "        # of the calibrated (reference) wind direction. Note that 'wd_ref' may\n",
+    "        # also be a met mast' wind direction signal, if available. The offset\n",
+    "        # between a turbine's wind direction and wd_ref is very likely to be\n",
+    "        # the bias or close to the bias in this turbine's northing.\n",
+    "        wd_test = df_scada[\"wd_{:03d}\".format(ti)]\n",
+    "        x0, _ = flopt.match_y_curves_by_offset(\n",
+    "            wd_ref, wd_test, dy_eval=np.arange(-180.0, 180.0, 2.0), angle_wrapping=True\n",
+    "        )\n",
+    "\n",
+    "        # Then, we refine this first guess by evaluating the cost function\n",
+    "        # at [-5.0, 0.0, 5.0] deg around x0, and let the optimizer\n",
+    "        # converge.\n",
+    "        x_search_bounds = np.round(x0) + np.array([-5.0, 5.0])\n",
+    "\n",
+    "        # Calculate and save the results to a list\n",
+    "        wd_bias_list[ti] = get_bias_for_single_turbine(\n",
+    "            df=df_scada,\n",
+    "            fm=fm,\n",
+    "            ti=ti,\n",
+    "            opt_search_range=x_search_bounds,\n",
+    "            plot=True,\n",
+    "            figure_save_path=None,\n",
+    "        )\n",
+    "        print(\" \")\n",
+    "\n",
+    "    return wd_bias_list\n",
+    "\n",
+    "\n",
+    "wd_bias_list = estimate_biases_with_reference_wd(df_scada_homogenized, fm, wd_ref)\n",
+    "print(\"Wind direction biases: {}\".format(wd_bias_list))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# **Step 5**: Correct turbine wind directions for bias\n",
+    "The next step is to apply the northing corrections directly on the data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "wd_bias_list: [ 2.50000e-04  1.49625e+01 -4.49625e+01  0.00000e+00  0.00000e+00\n",
+      "  0.00000e+00  2.50000e-04]\n",
+      "Removing 0.00 deg bias for ti = 000.\n",
+      "Removing 14.96 deg bias for ti = 001.\n",
+      "Removing -44.96 deg bias for ti = 002.\n",
+      "Removing 0.00 deg bias for ti = 003.\n",
+      "Removing 0.00 deg bias for ti = 004.\n",
+      "Removing 0.00 deg bias for ti = 005.\n",
+      "Removing 0.00 deg bias for ti = 006.\n"
+     ]
+    }
+   ],
+   "source": [
+    "def apply_bias_corrections(df_scada, wd_bias_list):\n",
+    "    # Copy dataframe\n",
+    "    df_out = df_scada.copy()\n",
+    "\n",
+    "    # Load the SCADA data\n",
+    "    num_turbines = dfm.get_num_turbines(df_scada)\n",
+    "\n",
+    "    # Set turbine-individual bias corrections\n",
+    "    for ti in range(num_turbines):\n",
+    "        bias = wd_bias_list[ti]\n",
+    "        print(\"Removing {:.2f} deg bias for ti = {:03d}.\".format(bias, ti))\n",
+    "        df_out[\"wd_{:03d}\".format(ti)] = wrap_360(df_out[\"wd_{:03d}\".format(ti)] - bias)\n",
+    "\n",
+    "    return df_out\n",
+    "\n",
+    "\n",
+    "# Get bias corrections\n",
+    "print(\"wd_bias_list: {}\".format(wd_bias_list))\n",
+    "df_scada_homogenized = apply_bias_corrections(\n",
+    "    df_scada=df_scada_homogenized.copy(), wd_bias_list=wd_bias_list\n",
+    ")"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# **Step 6**: Deal with inter-turbine faults\n",
+    "Deal with faults at one turbine causing issues at another turbine. For example, if a turbine is shedding a wake on a second turbine, then for a fair comparison both of these two turbines should be operating normally. If the upstream turbine is curtailed or offline, the power production of the downstream turbine also changes. Hence, if we are unsure about the operating mode of one machine, we cannot make accurate FLORIS predictions on the second turbine either. In this scenario, we would classify the second turbine's measurement as faulty too, because of this."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[34mfloris.floris_model.FlorisModel\u001b[0m \u001b[1;30mWARNING\u001b[0m \u001b[33mDeleting stored wind_data information.\u001b[0m\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Calculating the 'df_impacting_turbines' matrix...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[34mfloris.floris_model.FlorisModel\u001b[0m \u001b[1;30mWARNING\u001b[0m \u001b[33mDeleting stored wind_data information.\u001b[0m\n",
+      "\u001b[34mfloris.floris_model.FlorisModel\u001b[0m \u001b[1;30mWARNING\u001b[0m \u001b[33mDeleting stored wind_data information.\u001b[0m\n",
+      "\u001b[34mfloris.floris_model.FlorisModel\u001b[0m \u001b[1;30mWARNING\u001b[0m \u001b[33mDeleting stored wind_data information.\u001b[0m\n",
+      "\u001b[34mfloris.floris_model.FlorisModel\u001b[0m \u001b[1;30mWARNING\u001b[0m \u001b[33mDeleting stored wind_data information.\u001b[0m\n",
+      "\u001b[34mfloris.floris_model.FlorisModel\u001b[0m \u001b[1;30mWARNING\u001b[0m \u001b[33mDeleting stored wind_data information.\u001b[0m\n",
+      "\u001b[34mfloris.floris_model.FlorisModel\u001b[0m \u001b[1;30mWARNING\u001b[0m \u001b[33mDeleting stored wind_data information.\u001b[0m\n",
+      "\u001b[32m2024-12-02 11:23:51\u001b[0m Faulty measurements for WTG 00 increased from 0.000 % to 0.000 %. Reason: 'Turbine is impacted by faulty upstream turbine'.\n",
+      "\u001b[32m2024-12-02 11:23:51\u001b[0m Faulty measurements for WTG 01 increased from 0.000 % to 0.000 %. Reason: 'Turbine is impacted by faulty upstream turbine'.\n",
+      "\u001b[32m2024-12-02 11:23:51\u001b[0m Faulty measurements for WTG 02 increased from 0.000 % to 0.000 %. Reason: 'Turbine is impacted by faulty upstream turbine'.\n",
+      "\u001b[32m2024-12-02 11:23:51\u001b[0m Faulty measurements for WTG 03 increased from 0.000 % to 0.000 %. Reason: 'Turbine is impacted by faulty upstream turbine'.\n",
+      "\u001b[32m2024-12-02 11:23:51\u001b[0m Faulty measurements for WTG 04 increased from 0.000 % to 0.000 %. Reason: 'Turbine is impacted by faulty upstream turbine'.\n",
+      "\u001b[32m2024-12-02 11:23:51\u001b[0m Faulty measurements for WTG 05 increased from 0.000 % to 0.000 %. Reason: 'Turbine is impacted by faulty upstream turbine'.\n",
+      "\u001b[32m2024-12-02 11:23:51\u001b[0m Faulty measurements for WTG 06 increased from 0.000 % to 0.000 %. Reason: 'Turbine is impacted by faulty upstream turbine'.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "            0    1       2   3   4   5   6\n",
+      "wd                                        \n",
+      "0.0       [6]  [5]     [3]  []  []  []  []\n",
+      "3.0       [6]  [5]     [3]  []  []  []  []\n",
+      "6.0       [6]  [5]     [3]  []  []  []  []\n",
+      "9.0       [6]  [5]     [3]  []  []  []  []\n",
+      "12.0       []  [5]     [3]  []  []  []  []\n",
+      "...       ...  ...     ...  ..  ..  ..  ..\n",
+      "345.0  [6, 5]  [5]     [3]  []  []  []  []\n",
+      "348.0  [6, 5]  [5]  [3, 5]  []  []  []  []\n",
+      "351.0     [6]  [5]     [3]  []  []  []  []\n",
+      "354.0     [6]  [5]     [3]  []  []  []  []\n",
+      "357.0     [6]  [5]  [3, 5]  []  []  []  []\n",
+      "\n",
+      "[120 rows x 7 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "def filter_for_faults_in_impacting_turbines(df):\n",
+    "    # Determine which turbines impact which other turbines through their wakes\n",
+    "    print(\"Calculating the 'df_impacting_turbines' matrix...\")\n",
+    "    df_impacting_turbines = ftools.get_all_impacting_turbines(\n",
+    "        fm_in=fm,\n",
+    "        wd_array=np.arange(0.0, 360.0, 3.0),\n",
+    "        change_threshold=0.005,\n",
+    "        ws_test=9.0,\n",
+    "    )\n",
+    "    print(df_impacting_turbines)\n",
+    "\n",
+    "    # Filter the measurements for each turbine: make sure all\n",
+    "    # other turbines affecting this turbine's\n",
+    "    # power production are marked as good measurements. If they are not,\n",
+    "    # then classify this turbine's\n",
+    "    # measurement as faulty too.\n",
+    "    num_turbines = dfm.get_num_turbines(df)\n",
+    "    for ti in range(num_turbines):\n",
+    "        # Assign a reference wind direction for this turbine. In this case,\n",
+    "        # we have such a small farm so we assume that the farm average wind\n",
+    "        # direction of representative of every turbine.\n",
+    "        df = dfm.set_wd_by_all_turbines(df)\n",
+    "\n",
+    "        df_scada = filt.filter_df_by_faulty_impacting_turbines(\n",
+    "            df=df,\n",
+    "            ti=ti,\n",
+    "            df_impacting_turbines=df_impacting_turbines,\n",
+    "            verbose=True,\n",
+    "        )\n",
+    "\n",
+    "    return df_scada\n",
+    "\n",
+    "\n",
+    "df_scada_northing_calibrated_interturbine_filtered = filter_for_faults_in_impacting_turbines(\n",
+    "    df=df_scada_homogenized.copy()\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Show the final yaw angles"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'Wind direction (deg)')"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Show the effects of homogenization\n",
+    "# Show the wd channels for the turbines\n",
+    "fig, ax = plt.subplots(figsize=(12, 6))\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_001\"],\n",
+    "    label=\"wd_001 (Fixed Bias)\",\n",
+    "    color=\"blue\",\n",
+    ")\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_002\"],\n",
+    "    label=\"wd_002 (Bias Changes)\",\n",
+    "    color=\"red\",\n",
+    ")\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_000\"],\n",
+    "    label=\"wd_000\",\n",
+    "    color=\"k\",\n",
+    "    alpha=0.5,\n",
+    ")\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_003\"],\n",
+    "    label=\"wd_003\",\n",
+    "    color=\"k\",\n",
+    "    alpha=0.5,\n",
+    ")\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_004\"],\n",
+    "    label=\"wd_004\",\n",
+    "    color=\"k\",\n",
+    "    alpha=0.5,\n",
+    ")\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_005\"],\n",
+    "    label=\"wd_005\",\n",
+    "    color=\"k\",\n",
+    "    alpha=0.5,\n",
+    ")\n",
+    "ax.plot(\n",
+    "    df_scada_homogenized[\"time\"],\n",
+    "    df_scada_homogenized[\"wd_006\"],\n",
+    "    label=\"wd_006\",\n",
+    "    color=\"k\",\n",
+    "    alpha=0.5,\n",
+    ")\n",
+    "ax.legend()\n",
+    "ax.set_xlabel(\"Time\")\n",
+    "ax.set_ylabel(\"Wind direction (deg)\")"
+   ]
+  }
+ ],
+ "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": "3.13.0"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/examples_smarteole/04_northing_calibration.ipynb b/examples_smarteole/04_northing_calibration.ipynb
index 52dcd63f..5f54acc1 100644
--- a/examples_smarteole/04_northing_calibration.ipynb
+++ b/examples_smarteole/04_northing_calibration.ipynb
@@ -12,18 +12,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/flasc-reqs/lib/python3.10/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed).\n",
-      "  from pandas.core.computation.check import NUMEXPR_INSTALLED\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import warnings as wn\n",
     "from pathlib import Path\n",
@@ -49,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -61,7 +52,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -81,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -115,7 +106,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -148,41 +139,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-10-16 09:54:11\u001b[0m Matching curves for turbine 000...\n",
-      "\u001b[32m2024-10-16 09:54:15\u001b[0m    T001  T002  T003  T004  T005\n",
+      "\u001b[32m2024-12-02 11:44:16\u001b[0m Matching curves for turbine 000...\n",
+      "\u001b[32m2024-12-02 11:44:18\u001b[0m    T001  T002  T003  T004  T005\n",
       "0   0.0   0.0   0.0   0.0   0.0\n",
-      "\u001b[32m2024-10-16 09:54:15\u001b[0m Matching curves for turbine 001...\n",
-      "\u001b[32m2024-10-16 09:54:18\u001b[0m    T002  T000  T003  T004  T005\n",
+      "\u001b[32m2024-12-02 11:44:18\u001b[0m Matching curves for turbine 001...\n",
+      "\u001b[32m2024-12-02 11:44:18\u001b[0m    T002  T000  T003  T004  T005\n",
       "0   0.0  -0.0   0.0   0.0   0.0\n",
-      "\u001b[32m2024-10-16 09:54:18\u001b[0m Matching curves for turbine 002...\n",
-      "\u001b[32m2024-10-16 09:54:20\u001b[0m    T001  T003  T000  T004  T005\n",
+      "\u001b[32m2024-12-02 11:44:18\u001b[0m Matching curves for turbine 002...\n",
+      "\u001b[32m2024-12-02 11:44:19\u001b[0m    T001  T003  T000  T004  T005\n",
       "0  -0.0   0.0  -0.0   0.0  -2.0\n",
-      "\u001b[32m2024-10-16 09:54:20\u001b[0m Matching curves for turbine 003...\n",
-      "\u001b[32m2024-10-16 09:54:22\u001b[0m    T004  T002  T005  T001  T006\n",
+      "\u001b[32m2024-12-02 11:44:19\u001b[0m Matching curves for turbine 003...\n",
+      "\u001b[32m2024-12-02 11:44:20\u001b[0m    T004  T002  T005  T001  T006\n",
       "0   0.0  -0.0   0.0  -0.0   0.0\n",
-      "\u001b[32m2024-10-16 09:54:22\u001b[0m Matching curves for turbine 004...\n",
-      "\u001b[32m2024-10-16 09:54:24\u001b[0m    T005  T003  T006  T002  T001\n",
+      "\u001b[32m2024-12-02 11:44:20\u001b[0m Matching curves for turbine 004...\n",
+      "\u001b[32m2024-12-02 11:44:20\u001b[0m    T005  T003  T006  T002  T001\n",
       "0  -2.0  -0.0  -2.0  -0.0  -0.0\n",
-      "\u001b[32m2024-10-16 09:54:24\u001b[0m Matching curves for turbine 005...\n",
-      "\u001b[32m2024-10-16 09:54:25\u001b[0m    T004  T006  T003  T002  T001\n",
+      "\u001b[32m2024-12-02 11:44:20\u001b[0m Matching curves for turbine 005...\n",
+      "\u001b[32m2024-12-02 11:44:20\u001b[0m    T004  T006  T003  T002  T001\n",
       "0   2.0   0.0  -0.0   2.0  -0.0\n",
-      "\u001b[32m2024-10-16 09:54:25\u001b[0m Matching curves for turbine 006...\n",
-      "\u001b[32m2024-10-16 09:54:26\u001b[0m    T005  T004  T003  T002  T001\n",
+      "\u001b[32m2024-12-02 11:44:20\u001b[0m Matching curves for turbine 006...\n",
+      "\u001b[32m2024-12-02 11:44:21\u001b[0m    T005  T004  T003  T002  T001\n",
       "0  -0.0   2.0  -0.0   2.0   0.0\n",
-      "\u001b[32m2024-10-16 09:54:26\u001b[0m Turbine 000 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
-      "\u001b[32m2024-10-16 09:54:26\u001b[0m Turbine 001 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
-      "\u001b[32m2024-10-16 09:54:26\u001b[0m Turbine 002 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
-      "\u001b[32m2024-10-16 09:54:26\u001b[0m Turbine 003 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
-      "\u001b[32m2024-10-16 09:54:26\u001b[0m Turbine 004 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
-      "\u001b[32m2024-10-16 09:54:26\u001b[0m Turbine 005 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
-      "\u001b[32m2024-10-16 09:54:26\u001b[0m Turbine 006 seems to have no jumps in its WD measurement calibration. [CLEAN]\n"
+      "\u001b[32m2024-12-02 11:44:21\u001b[0m Turbine 000 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:44:21\u001b[0m Turbine 001 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:44:21\u001b[0m Turbine 002 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:44:21\u001b[0m Turbine 003 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:44:21\u001b[0m Turbine 004 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:44:21\u001b[0m Turbine 005 seems to have no jumps in its WD measurement calibration. [CLEAN]\n",
+      "\u001b[32m2024-12-02 11:44:21\u001b[0m Turbine 006 seems to have no jumps in its WD measurement calibration. [CLEAN]\n"
      ]
     },
     {
@@ -216,6 +207,19 @@
     "Fortunately, the relative wind direction offsets between all turbines are zero. Therefore, we only need to identify a single offset for each turbine to complete the northing calibration."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In the event of a detection of a jump in the relative wind direction, FLASC now includes a homeginization function that can be used to correct for this. See the example:\n",
+    "\n",
+    "```\n",
+    "examples_artificial_data/01_raw_data_processing/03_northing_calibration_hoger.ipynb\n",
+    "```\n",
+    "\n",
+    "for example usage.  "
+   ]
+  },
   {
    "attachments": {},
    "cell_type": "markdown",
@@ -2199,11 +2203,9 @@
   }
  ],
  "metadata": {
-  "interpreter": {
-   "hash": "96c53852a1e56d9fbc8381f88ff3256056a2f574c5e86cd3dfe6ce1bc9d68e6a"
-  },
   "kernelspec": {
-   "display_name": "Python 3.10.4 64-bit ('flasc-reqs': conda)",
+   "display_name": ".venv",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {
@@ -2216,7 +2218,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.13.0"
   },
   "toc": {
    "base_numbering": 1,
diff --git a/flasc/data_processing/northing_offset_change_hoger.py b/flasc/data_processing/northing_offset_change_hoger.py
new file mode 100644
index 00000000..c4ce70f7
--- /dev/null
+++ b/flasc/data_processing/northing_offset_change_hoger.py
@@ -0,0 +1,287 @@
+"""Module for homogenizing the wind direction data using the HOGER method.
+
+HOGER was developed by Paul Poncet (https://github.com/engie-paul-poncet)
+ and Thomas Duc (https://github.com/engie-thomas-duc) of Engie,
+and Rubén González-Lope (https://github.com/rglope) and
+Alvaro Gonzalez Salcedo (https://github.com/alvarogonzalezsalcedo) of
+CENER within the TWAIN project.
+"""
+
+from __future__ import annotations
+
+import warnings
+from typing import Union
+
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+from floris.utilities import wrap_180
+from matplotlib import dates
+from scipy.interpolate import interp1d
+from sklearn.tree import DecisionTreeRegressor
+
+from flasc import FlascDataFrame
+
+_MODE_LIMIT = 0.05
+
+
+def _get_leaves_and_knots(tree: DecisionTreeRegressor) -> tuple[np.ndarray, np.ndarray]:
+    """Function to get the values of the superficial knots and leaves of a Tree Regression.
+
+    Args:
+        tree (DecisionTreeRegressor): Decision Tree Regression model.
+
+    Returns:
+        tuple[np.ndarray, np.ndarray]: Values of the leaves and positions of the knots.
+    """
+    # Get the main information from the tree
+    n_nodes = tree.tree_.node_count
+    children_left = tree.tree_.children_left
+    children_right = tree.tree_.children_right
+    threshold = tree.tree_.threshold
+    values = tree.tree_.value
+
+    # Explore the results to extract the values of the leaves
+    is_leaves = np.zeros(shape=n_nodes, dtype=bool)
+    stack = [(0, 0)]  # start with the root node id (0) and its depth (0)
+    while len(stack) > 0:
+        # `pop` ensures each node is only visited once
+        node_id, depth = stack.pop()
+
+        # If the left and right child of a node is not the same we have a split node
+        is_split_node = children_left[node_id] != children_right[node_id]
+        # If a split node, append left and right children and depth to `stack` so we can loop t
+        # through them
+        if is_split_node:
+            stack.append((children_left[node_id], depth + 1))
+            stack.append((children_right[node_id], depth + 1))
+        else:
+            is_leaves[node_id] = True
+
+    # Get the values and the position of the external knots
+    leave_values = values[is_leaves][:, 0, 0]
+    knot_positions = np.sort(threshold[~is_leaves])
+
+    return leave_values, knot_positions
+
+
+def _discretize(x: pd.Series, threshold: int) -> np.ndarray:
+    """Get the class of the knots based on the times they repeat.
+
+    Args:
+        x (pd.Series): Series of knot positions of the trees for the different wind turbines.
+        threshold (int): Threshold used to declare a tree branch.
+
+    Returns:
+        np.ndarray: Classes of the knots.
+    """
+    o = np.argsort(x)  # Get the order of the knots
+    x = x.iloc[o]  # Order the knots in ascending value of their positions
+    y = np.ones(len(x), dtype=np.int32)
+    d = np.diff(x)
+    w = np.where(d >= threshold)[0]
+
+    for i in range(len(d)):
+        y[i + 1] = y[i] + (i in w)
+
+    y = y[np.argsort(o)]
+
+    return y
+
+
+def _shorth_mode(x: pd.Series) -> np.float64:
+    """Estimates the Venter mode through the shorth method for the given data.
+
+    Args:
+        x (pd.Series): Data for which the mode will be estimated
+
+    Returns:
+        np.float64: Mode of the data
+
+    """
+    ny = len(x)
+    k = int(np.ceil(ny / 2) - 1)
+    y = np.sort(x)
+    diffs = y[k:] - y[: (ny - k)]
+    i = np.where(diffs == min(diffs))[0]
+
+    if len(i) > 1:
+        if (np.max(i) - np.min(i)) > (_MODE_LIMIT * ny):
+            warnings.warn(
+                "Encountered a tie, and the difference between minimal and maximal value "
+                f"is > length('x') * {_MODE_LIMIT}.\n The distribution could be multimodal"
+            )
+        i = int(np.mean(i))
+    else:
+        i = i[0]
+
+    mode = np.mean(y[i : (i + k + 1)])
+
+    return mode
+
+
+def _plot_regression(y_data: pd.Series, y_regr: np.ndarray, date_time: pd.Series, ylabel: str):
+    """Function to plot the results of the regression tree.
+
+    Args:
+        y_data (pd.Series): Data used on the regression.
+        y_regr (np.ndarray): Results obtained from the tree regression.
+        date_time (pd.Series): Dates of the original data.
+        ylabel (str): Data that is shown in the plot.
+
+    """
+    fig = plt.figure()
+    sc = plt.scatter(date_time, y_data, c=dates.date2num(date_time), s=5)
+    cbar = fig.colorbar(sc)
+    loc = dates.AutoDateLocator()
+    cbar.ax.yaxis.set_major_locator(loc)
+    cbar.ax.yaxis.set_major_formatter(dates.ConciseDateFormatter(loc))
+    plt.plot(date_time[~y_data.isna()], y_regr, c="tab:red")
+    plt.ylabel(ylabel)
+    plt.grid()
+    plt.tight_layout()
+
+    plt.show()
+
+
+def homogenize_hoger(
+    scada: Union[pd.DataFrame | FlascDataFrame],
+    var: str = "wd",
+    threshold: int = 1000,
+    reference: str = "last",
+    plot_it: bool = False,
+    max_depth: int = 4,
+    ccp_alpha: float = 0.09,
+) -> tuple[pd.DataFrame, pd.DataFrame]:
+    """Homogenization routine of the Scada directions of the different wind turbines based on "var".
+
+    The Scada data is explored by applying a regression tree procedure to the differences
+    in direction nof the wind turbines
+    to get the most common jumps and their positions.
+    These jumps are then reversed to correct the deviations.
+
+    Args:
+        scada (Union[pd.DataFrame, FlascDataFrame]): DataFrame containing the SCADA data.
+        var (str, optional): Variable to homogenize (yaw or wd). Defaults to 'wd'.
+        threshold (int, optional): Threshold for discretization. Defaults to 1000.
+        reference (str, optional): Reference point for homogenization. Defaults to 'last'.
+        plot_it (bool, optional): Whether to plot the results. Defaults to False.
+        max_depth (int, optional): Maximum depth of the regression tree. Defaults to 4.
+        ccp_alpha (float, optional): Complexity parameter for pruning. Defaults to 0.09
+
+    Returns:
+        tuple[pd.DataFrame, pd.DataFrame]: Homogenized SCADA data and the results used to
+            homogenize it with the jumps and their knots.
+    """
+    # Check the variable to use for the homogenization
+    if var not in ["yaw", "wd"]:
+        raise ValueError(
+            'Please, select a valid variable to use during homogeneization: "yaw" or "wd".'
+        )
+
+    # Select the columns to use in the algorithm
+    wt_names = scada.columns[scada.columns.str.startswith((var + "_"))]
+    if len(wt_names) < 3:
+        raise ValueError("There must be at least 3 wind turbines for the algorithm to apply.")
+    df = scada[wt_names.to_list() + ["time"]].reset_index(drop=True)
+
+    # Reference date
+    if reference == "first":
+        ref = 0
+    elif reference == "last":
+        ref = df.shape[0] - 1
+    else:
+        date_ref = pd.to_datetime(reference)
+        ref = df["time"][df["time"] == date_ref]
+        if len(ref) == 0:
+            if date_ref < df["time"].min():
+                ref = 0
+            elif date_ref > df["time"].max():
+                ref = df.shape[0] - 1
+            else:
+                ref = 0
+                warnings.warn(
+                    "The reference date seem to be missing in the dataset. "
+                    " The first date is selected as reference."
+                )
+
+    # Build the DataFrame to store the results of the Tree
+    d = pd.DataFrame(columns=["Knot", "Jump", "Turbine"])
+    d = d.astype({"Knot": np.float64, "Jump": np.float64, "Turbine": str})  # Assign types
+
+    # Iterate over every wind turbine comparing its direction with every other.
+    #  Get then the points at which
+    # a jump is produced. These points are called knots.
+    for m in wt_names:
+        # Get the wind turbines to compare
+        ms2 = wt_names[wt_names != m]
+        df2 = df[ms2]
+        for m2 in ms2:
+            # Get the differences in the direction
+            df2.loc[:, m2] = wrap_180(df[m2] - df[m])
+            y = df2[m2][~df2[m2].isna()]  # Do not use the nan values
+            # Use a decision tree regressor to get the points at which there are knots
+            # and the values of the
+            # direction differences
+            regr = DecisionTreeRegressor(
+                max_depth=max_depth,
+                min_samples_split=threshold,
+                min_samples_leaf=threshold // 2,
+                ccp_alpha=ccp_alpha,
+            )
+            regr.fit(y.index.to_numpy()[:, np.newaxis], y)
+
+            # Postprocess the results of the decision tree
+            # regressor to get the information required.
+            # The leaves are
+            # the values of the means and the knots the points at which jumps occur
+            leaves, knots = _get_leaves_and_knots(regr)
+
+            # Plot the results if desired
+            if plot_it:
+                _plot_regression(
+                    df2[m2],
+                    regr.predict(y.index.to_numpy()[:, np.newaxis]),
+                    scada.time,
+                    f"{m2} - {m} wind direction [°]",
+                )
+
+            # Save the results
+            if len(knots) > 0 and not np.any(np.isnan(knots)):
+                if m == "wd_004":
+                    print(knots)
+                d = pd.concat(
+                    [d, pd.DataFrame({"Knot": knots, "Jump": np.diff(leaves), "Turbine": m})]
+                )
+
+    d = d.reset_index(drop=True)
+
+    # Postprocess all the data to get the main jumps for each wind turbine
+    d2 = d.copy()
+    d2["Class"] = _discretize(d["Knot"], threshold=threshold // 2)
+    d2["Count"] = 1
+    d2 = d2.groupby(["Class", "Turbine"]).agg(
+        {"Count": "sum", "Jump": "mean", "Knot": _shorth_mode}
+    )
+    d2.reset_index(drop=False, inplace=True)
+    d2["Knot_date"] = df["time"].values[np.floor(d2["Knot"]).astype(int) - 1]
+    d2 = d2.loc[d2["Count"] > len(wt_names) / 2]
+    d2.sort_values("Count", ascending=False, inplace=True)
+    d2.drop_duplicates(subset="Class", inplace=True)
+    d2.sort_values("Class", inplace=True)
+    d2.reset_index(drop=True, inplace=True)
+
+    # Predict
+    if d.shape[0] > 0:
+        for i in range(d2.shape[0]):
+            m = d2["Turbine"][i]
+            k = d2["Knot"][i]
+            j = d2["Jump"][i]
+            # Build a piecewise function based on the knot and the jump
+            f = interp1d(
+                np.array([0, k, scada.index.max()]), np.array([0.0, j, j]), kind="previous"
+            )
+
+            scada[m] = (scada[m] + f(scada.index) - f(ref)) % 360
+
+    return scada, d2
diff --git a/pyproject.toml b/pyproject.toml
index cf175d1c..48e8a2ca 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -39,6 +39,7 @@ dependencies = [
     "ephem",
     "coloredlogs~=15.0",
     "res-wind-up~=0.1",
+    "scikit-learn~=1.5",
 ]
 
 [project.optional-dependencies]
diff --git a/tests/northing_offset_change_hoger_test.py b/tests/northing_offset_change_hoger_test.py
new file mode 100644
index 00000000..f7aae5bf
--- /dev/null
+++ b/tests/northing_offset_change_hoger_test.py
@@ -0,0 +1,118 @@
+import numpy as np
+import pandas as pd
+
+from flasc import FlascDataFrame
+from flasc.data_processing.northing_offset_change_hoger import (
+    _discretize,
+    _shorth_mode,
+    homogenize_hoger,
+)
+
+
+def test_discretize():
+    """Test discretize function."""
+
+    x = pd.Series([0, 5, 1000, 2, 75])
+    expected_result = pd.Series([1, 1, 2, 1, 1])
+    threshold = 100
+    result = _discretize(x, threshold)
+    assert isinstance(result, np.ndarray)
+    assert len(result) == len(x)
+    np.testing.assert_array_equal(result, expected_result)
+
+
+def test_shorth_mode():
+    """Test shorth function."""
+    x = pd.Series([1.0, 1.0, 1.0, 1.5, 2.0])
+    expected_result = 1.0
+    result = _shorth_mode(x)
+    assert isinstance(result, np.float64)
+    assert result == expected_result
+
+
+def test_homogenize_hoger():
+    """Test homogenize_hoger function."""
+    N = 100
+
+    df = FlascDataFrame(
+        {
+            "time": pd.date_range("2024-01-01", periods=N, freq="600s"),
+            "wd": np.random.randint(0, 360, N),
+            "ws": np.random.randint(0, 20, N),
+            "pow_000": np.random.randint(0, 100, N),
+            "pow_001": np.random.randint(0, 100, N),
+            "pow_002": np.random.randint(0, 100, N),
+            "pow_003": np.random.randint(0, 100, N),
+            "pow_004": np.random.randint(0, 100, N),
+            "wd_000": np.zeros(N),
+            "wd_001": np.zeros(N),
+            "wd_002": np.zeros(N),
+            "wd_003": np.zeros(N),
+            "wd_004": np.zeros(N),
+        }
+    )
+
+    # Add a step change at N/2 in wd_004
+    df.loc[N // 2 :, "wd_004"] = 20
+
+    # If threshold is larger than number of points, df_hom should match df
+    df_hom, d2 = homogenize_hoger(df.copy(), threshold=N * 2)
+    assert df.equals(df_hom)
+
+    # If threshold is smaller than number of points, df_hom should homogenize wd_004
+    df_hom, d2 = homogenize_hoger(df.copy(), threshold=10)
+    assert not df.equals(df_hom)
+    assert df_hom["wd_004"].nunique() == 1  # Test homogenize_hoger column
+
+    # All columns besides wd_004 are unchanged
+    assert df["wd_000"].equals(df_hom["wd_000"])
+    assert df["wd_001"].equals(df_hom["wd_001"])
+    assert df["wd_002"].equals(df_hom["wd_002"])
+    assert df["wd_003"].equals(df_hom["wd_003"])
+
+    # If threshold == N should homogenize all columns
+    df_hom, d2 = homogenize_hoger(df.copy(), threshold=N)
+    assert not df.equals(df_hom)
+    assert df_hom["wd_004"].nunique() == 1  # Test homogenized column
+
+
+def test_homogenize_hoger_double_change():
+    """Test homogenize_hoger function with two changes."""
+    N = 250
+
+    df = FlascDataFrame(
+        {
+            "time": pd.date_range("2024-01-01", periods=N, freq="600s"),
+            "wd": np.random.randint(0, 360, N),
+            "ws": np.random.randint(0, 20, N),
+            "pow_000": np.random.randint(0, 100, N),
+            "pow_001": np.random.randint(0, 100, N),
+            "pow_002": np.random.randint(0, 100, N),
+            "pow_003": np.random.randint(0, 100, N),
+            "pow_004": np.random.randint(0, 100, N),
+            "wd_000": np.zeros(N),
+            "wd_001": np.zeros(N),
+            "wd_002": np.zeros(N),
+            "wd_003": np.zeros(N),
+            "wd_004": np.zeros(N),
+        }
+    )
+
+    # Add a step change at N/2 in wd_004
+    df.loc[N // 3 :, "wd_004"] = 20
+    df.loc[2 * N // 3 :, "wd_004"] = 40
+
+    # If threshold is smaller than number of points, df_hom should homogenize wd_004
+    df_hom, d2 = homogenize_hoger(df.copy(), threshold=N // 5)
+    assert not df.equals(df_hom)
+    assert df_hom["wd_004"].nunique() == 1  # Test homogenized column
+
+    # All columns besides wd_004 are unchanged
+    assert df["wd_000"].equals(df_hom["wd_000"])
+    assert df["wd_001"].equals(df_hom["wd_001"])
+    assert df["wd_002"].equals(df_hom["wd_002"])
+    assert df["wd_003"].equals(df_hom["wd_003"])
+
+    # If threshold is larger than number of points, df_hom should match df
+    df_hom, d2 = homogenize_hoger(df.copy(), threshold=N * 2)
+    assert df.equals(df_hom)