John_helicopter_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c0b46e2d-62b5-4917-88a7-0cbddbc1fcce",
   "metadata": {},
   "source": [
    "# First explorations of helicopter fast data\n",
    "#### Brian Mapes, Oct 5 2023\n",
    "#### Goal: understand basic character of instruments and data \n",
    "### Especially vertical wind (key to all fluxes) \n",
    "### Use redundancy of two systems to find strengths \n",
    "#### or find weaknesses, in hopes to filter them out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e3d78b76-523a-470a-b583-6bec5403c419",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Packages and open datafile\n",
    "\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy as sp "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "be39e09a-4d9e-425f-b62b-d63b6b085617",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "df = pd.read_excel('/Users/bmapes/Downloads/Flight_2023-06-23_F_segmented_Legs.xlsx')\n",
    "df = df[1:] # strip off row of units strings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "8bceff3b",
   "metadata": {
    "tags": []
   },
   "outputs": [
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       "      <th></th>\n",
       "      <th>TIMESTAMP</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>speed</th>\n",
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       "      <th>cell_tmpr1' * cell_tmpr1'</th>\n",
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       "      <th>TKE1</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2023-06-23 10:08:01.65</td>\n",
       "      <td>25.625</td>\n",
       "      <td>-80.120617</td>\n",
       "      <td>29.168975</td>\n",
       "      <td>183.6</td>\n",
       "      <td>7.4</td>\n",
       "      <td>24.278216</td>\n",
       "      <td>27.02333</td>\n",
       "      <td>1.964262</td>\n",
       "      <td>2.563583</td>\n",
       "      <td>306.90527</td>\n",
       "      <td>0.000706</td>\n",
       "      <td>0.019034</td>\n",
       "      <td>29.81406</td>\n",
       "      <td>101660.5</td>\n",
       "      <td>26.36168</td>\n",
       "      <td>0.633123</td>\n",
       "      <td>1.3943</td>\n",
       "      <td>304.70691</td>\n",
       "      <td>0.000727</td>\n",
       "      <td>0.022502</td>\n",
       "      <td>29.79559</td>\n",
       "      <td>101758.9</td>\n",
       "      <td>-2.368661e-01</td>\n",
       "      <td>-1.359172e+00</td>\n",
       "      <td>-1.417691e-01</td>\n",
       "      <td>-2.055376e-01</td>\n",
       "      <td>2.970286e-06</td>\n",
       "      <td>-1.335717e-04</td>\n",
       "      <td>1.003402e-02</td>\n",
       "      <td>-2.052123e+01</td>\n",
       "      <td>-5.795727e-02</td>\n",
       "      <td>-1.021269e+00</td>\n",
       "      <td>-6.578272e-02</td>\n",
       "      <td>-2.639053e-02</td>\n",
       "      <td>-2.938101e-06</td>\n",
       "      <td>-6.727731e-04</td>\n",
       "      <td>8.777835e-03</td>\n",
       "      <td>-6.102019e+00</td>\n",
       "      <td>0.056106</td>\n",
       "      <td>0.321942</td>\n",
       "      <td>0.033580</td>\n",
       "      <td>0.048685</td>\n",
       "      <td>-7.035598e-07</td>\n",
       "      <td>0.000032</td>\n",
       "      <td>-0.002377</td>\n",
       "      <td>4.860784</td>\n",
       "      <td>1.847348</td>\n",
       "      <td>0.192689</td>\n",
       "      <td>0.279361</td>\n",
       "      <td>-4.037129e-06</td>\n",
       "      <td>0.000182</td>\n",
       "      <td>-0.013638</td>\n",
       "      <td>27.891884</td>\n",
       "      <td>0.020098</td>\n",
       "      <td>0.029139</td>\n",
       "      <td>-4.210946e-07</td>\n",
       "      <td>0.000019</td>\n",
       "      <td>-0.001423</td>\n",
       "      <td>2.909276</td>\n",
       "      <td>0.042246</td>\n",
       "      <td>-6.105053e-07</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>-0.002062</td>\n",
       "      <td>4.217885</td>\n",
       "      <td>8.822596e-12</td>\n",
       "      <td>-3.967460e-10</td>\n",
       "      <td>2.980391e-08</td>\n",
       "      <td>-6.095392e-05</td>\n",
       "      <td>1.784139e-08</td>\n",
       "      <td>-1.340261e-06</td>\n",
       "      <td>0.002741</td>\n",
       "      <td>0.000101</td>\n",
       "      <td>-0.205911</td>\n",
       "      <td>421.121047</td>\n",
       "      <td>0.003359</td>\n",
       "      <td>0.059190</td>\n",
       "      <td>0.003813</td>\n",
       "      <td>0.001530</td>\n",
       "      <td>1.702843e-07</td>\n",
       "      <td>0.000039</td>\n",
       "      <td>-0.000509</td>\n",
       "      <td>0.353656</td>\n",
       "      <td>1.042991</td>\n",
       "      <td>0.067182</td>\n",
       "      <td>0.026952</td>\n",
       "      <td>3.000593e-06</td>\n",
       "      <td>0.000687</td>\n",
       "      <td>-0.008965</td>\n",
       "      <td>6.231805</td>\n",
       "      <td>0.004327</td>\n",
       "      <td>0.001736</td>\n",
       "      <td>1.932763e-07</td>\n",
       "      <td>4.425684e-05</td>\n",
       "      <td>-0.000577</td>\n",
       "      <td>0.401407</td>\n",
       "      <td>0.000696</td>\n",
       "      <td>7.753806e-08</td>\n",
       "      <td>1.775484e-05</td>\n",
       "      <td>-0.000232</td>\n",
       "      <td>0.161036</td>\n",
       "      <td>8.632440e-12</td>\n",
       "      <td>1.976676e-09</td>\n",
       "      <td>-2.579017e-08</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>4.526236e-07</td>\n",
       "      <td>-5.905491e-06</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>-0.053563</td>\n",
       "      <td>37.234632</td>\n",
       "      <td>0.961776</td>\n",
       "      <td>0.525339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2023-06-23 10:08:01.70</td>\n",
       "      <td>25.625</td>\n",
       "      <td>-80.120617</td>\n",
       "      <td>29.168975</td>\n",
       "      <td>183.6</td>\n",
       "      <td>7.4</td>\n",
       "      <td>24.278216</td>\n",
       "      <td>26.89863</td>\n",
       "      <td>1.790885</td>\n",
       "      <td>2.562363</td>\n",
       "      <td>306.97016</td>\n",
       "      <td>0.000701</td>\n",
       "      <td>0.018925</td>\n",
       "      <td>29.81406</td>\n",
       "      <td>101660.5</td>\n",
       "      <td>26.1818</td>\n",
       "      <td>0.500141</td>\n",
       "      <td>1.384937</td>\n",
       "      <td>304.60268</td>\n",
       "      <td>0.000717</td>\n",
       "      <td>0.022571</td>\n",
       "      <td>29.79559</td>\n",
       "      <td>101758.9</td>\n",
       "      <td>-3.615661e-01</td>\n",
       "      <td>-1.532549e+00</td>\n",
       "      <td>-1.429891e-01</td>\n",
       "      <td>-1.406476e-01</td>\n",
       "      <td>-1.991314e-06</td>\n",
       "      <td>-2.422917e-04</td>\n",
       "      <td>1.003402e-02</td>\n",
       "      <td>-2.052123e+01</td>\n",
       "      <td>-2.378373e-01</td>\n",
       "      <td>-1.154252e+00</td>\n",
       "      <td>-7.514572e-02</td>\n",
       "      <td>-1.306205e-01</td>\n",
       "      <td>-1.262860e-05</td>\n",
       "      <td>-6.043831e-04</td>\n",
       "      <td>8.777835e-03</td>\n",
       "      <td>-6.102019e+00</td>\n",
       "      <td>0.130730</td>\n",
       "      <td>0.554118</td>\n",
       "      <td>0.051700</td>\n",
       "      <td>0.050853</td>\n",
       "      <td>7.199917e-07</td>\n",
       "      <td>0.000088</td>\n",
       "      <td>-0.003628</td>\n",
       "      <td>7.419782</td>\n",
       "      <td>2.348706</td>\n",
       "      <td>0.219138</td>\n",
       "      <td>0.215549</td>\n",
       "      <td>3.051787e-06</td>\n",
       "      <td>0.000371</td>\n",
       "      <td>-0.015378</td>\n",
       "      <td>31.449794</td>\n",
       "      <td>0.020446</td>\n",
       "      <td>0.020111</td>\n",
       "      <td>2.847362e-07</td>\n",
       "      <td>0.000035</td>\n",
       "      <td>-0.001435</td>\n",
       "      <td>2.934312</td>\n",
       "      <td>0.019782</td>\n",
       "      <td>2.800736e-07</td>\n",
       "      <td>0.000034</td>\n",
       "      <td>-0.001411</td>\n",
       "      <td>2.886262</td>\n",
       "      <td>3.965333e-12</td>\n",
       "      <td>4.824789e-10</td>\n",
       "      <td>-1.998089e-08</td>\n",
       "      <td>4.086423e-05</td>\n",
       "      <td>5.870525e-08</td>\n",
       "      <td>-2.431160e-06</td>\n",
       "      <td>0.004972</td>\n",
       "      <td>0.000101</td>\n",
       "      <td>-0.205911</td>\n",
       "      <td>421.121047</td>\n",
       "      <td>0.056567</td>\n",
       "      <td>0.274524</td>\n",
       "      <td>0.017872</td>\n",
       "      <td>0.031066</td>\n",
       "      <td>3.003552e-06</td>\n",
       "      <td>0.000144</td>\n",
       "      <td>-0.002088</td>\n",
       "      <td>1.451287</td>\n",
       "      <td>1.332297</td>\n",
       "      <td>0.086737</td>\n",
       "      <td>0.150769</td>\n",
       "      <td>1.457658e-05</td>\n",
       "      <td>0.000698</td>\n",
       "      <td>-0.010132</td>\n",
       "      <td>7.043266</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>0.009816</td>\n",
       "      <td>9.489853e-07</td>\n",
       "      <td>4.541680e-05</td>\n",
       "      <td>-0.000660</td>\n",
       "      <td>0.458541</td>\n",
       "      <td>0.017062</td>\n",
       "      <td>1.649555e-06</td>\n",
       "      <td>7.894484e-05</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>0.797049</td>\n",
       "      <td>1.594816e-10</td>\n",
       "      <td>7.632513e-09</td>\n",
       "      <td>-1.108518e-07</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>3.652789e-07</td>\n",
       "      <td>-5.305175e-06</td>\n",
       "      <td>0.003688</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>-0.053563</td>\n",
       "      <td>37.234632</td>\n",
       "      <td>1.249941</td>\n",
       "      <td>0.697255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2023-06-23 10:08:01.75</td>\n",
       "      <td>25.625</td>\n",
       "      <td>-80.120617</td>\n",
       "      <td>29.168975</td>\n",
       "      <td>183.6</td>\n",
       "      <td>7.4</td>\n",
       "      <td>24.278216</td>\n",
       "      <td>26.83506</td>\n",
       "      <td>1.918925</td>\n",
       "      <td>2.368721</td>\n",
       "      <td>306.98041</td>\n",
       "      <td>0.000702</td>\n",
       "      <td>0.018785</td>\n",
       "      <td>29.81406</td>\n",
       "      <td>101660.5</td>\n",
       "      <td>26.38489</td>\n",
       "      <td>0.59532</td>\n",
       "      <td>1.465118</td>\n",
       "      <td>304.69964</td>\n",
       "      <td>0.000718</td>\n",
       "      <td>0.02281</td>\n",
       "      <td>29.79559</td>\n",
       "      <td>101758.9</td>\n",
       "      <td>-4.251361e-01</td>\n",
       "      <td>-1.404509e+00</td>\n",
       "      <td>-3.366311e-01</td>\n",
       "      <td>-1.303976e-01</td>\n",
       "      <td>-3.970145e-07</td>\n",
       "      <td>-3.822917e-04</td>\n",
       "      <td>1.003402e-02</td>\n",
       "      <td>-2.052123e+01</td>\n",
       "      <td>-3.474727e-02</td>\n",
       "      <td>-1.059072e+00</td>\n",
       "      <td>5.035280e-03</td>\n",
       "      <td>-3.366053e-02</td>\n",
       "      <td>-1.229220e-05</td>\n",
       "      <td>-3.648131e-04</td>\n",
       "      <td>8.777835e-03</td>\n",
       "      <td>-6.102019e+00</td>\n",
       "      <td>0.180741</td>\n",
       "      <td>0.597107</td>\n",
       "      <td>0.143114</td>\n",
       "      <td>0.055437</td>\n",
       "      <td>1.687852e-07</td>\n",
       "      <td>0.000163</td>\n",
       "      <td>-0.004266</td>\n",
       "      <td>8.724317</td>\n",
       "      <td>1.972645</td>\n",
       "      <td>0.472801</td>\n",
       "      <td>0.183145</td>\n",
       "      <td>5.576103e-07</td>\n",
       "      <td>0.000537</td>\n",
       "      <td>-0.014093</td>\n",
       "      <td>28.822255</td>\n",
       "      <td>0.113320</td>\n",
       "      <td>0.043896</td>\n",
       "      <td>1.336474e-07</td>\n",
       "      <td>0.000129</td>\n",
       "      <td>-0.003378</td>\n",
       "      <td>6.908085</td>\n",
       "      <td>0.017004</td>\n",
       "      <td>5.176973e-08</td>\n",
       "      <td>0.000050</td>\n",
       "      <td>-0.001308</td>\n",
       "      <td>2.675919</td>\n",
       "      <td>1.576205e-13</td>\n",
       "      <td>1.517753e-10</td>\n",
       "      <td>-3.983652e-09</td>\n",
       "      <td>8.147227e-06</td>\n",
       "      <td>1.461469e-07</td>\n",
       "      <td>-3.835923e-06</td>\n",
       "      <td>0.007845</td>\n",
       "      <td>0.000101</td>\n",
       "      <td>-0.205911</td>\n",
       "      <td>421.121047</td>\n",
       "      <td>0.001207</td>\n",
       "      <td>0.036800</td>\n",
       "      <td>-0.000175</td>\n",
       "      <td>0.001170</td>\n",
       "      <td>4.271205e-07</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>-0.000305</td>\n",
       "      <td>0.212028</td>\n",
       "      <td>1.121634</td>\n",
       "      <td>-0.005333</td>\n",
       "      <td>0.035649</td>\n",
       "      <td>1.301833e-05</td>\n",
       "      <td>0.000386</td>\n",
       "      <td>-0.009296</td>\n",
       "      <td>6.462478</td>\n",
       "      <td>0.000025</td>\n",
       "      <td>-0.000169</td>\n",
       "      <td>-6.189468e-08</td>\n",
       "      <td>-1.836936e-06</td>\n",
       "      <td>0.000044</td>\n",
       "      <td>-0.030725</td>\n",
       "      <td>0.001133</td>\n",
       "      <td>4.137621e-07</td>\n",
       "      <td>1.227980e-05</td>\n",
       "      <td>-0.000295</td>\n",
       "      <td>0.205397</td>\n",
       "      <td>1.510982e-10</td>\n",
       "      <td>4.484356e-09</td>\n",
       "      <td>-1.078989e-07</td>\n",
       "      <td>0.000075</td>\n",
       "      <td>1.330886e-07</td>\n",
       "      <td>-3.202269e-06</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>-0.053563</td>\n",
       "      <td>37.234632</td>\n",
       "      <td>1.133353</td>\n",
       "      <td>0.561433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2023-06-23 10:08:01.80</td>\n",
       "      <td>25.625</td>\n",
       "      <td>-80.120617</td>\n",
       "      <td>29.168975</td>\n",
       "      <td>183.6</td>\n",
       "      <td>7.4</td>\n",
       "      <td>24.278216</td>\n",
       "      <td>26.48247</td>\n",
       "      <td>1.600448</td>\n",
       "      <td>2.668895</td>\n",
       "      <td>307.17554</td>\n",
       "      <td>0.0007</td>\n",
       "      <td>0.019256</td>\n",
       "      <td>29.81406</td>\n",
       "      <td>101660.5</td>\n",
       "      <td>26.57113</td>\n",
       "      <td>0.336828</td>\n",
       "      <td>1.667181</td>\n",
       "      <td>304.84013</td>\n",
       "      <td>0.000723</td>\n",
       "      <td>0.022705</td>\n",
       "      <td>29.79559</td>\n",
       "      <td>101758.9</td>\n",
       "      <td>-7.777261e-01</td>\n",
       "      <td>-1.722986e+00</td>\n",
       "      <td>-3.645706e-02</td>\n",
       "      <td>6.473242e-02</td>\n",
       "      <td>-2.871814e-06</td>\n",
       "      <td>8.832833e-05</td>\n",
       "      <td>1.003402e-02</td>\n",
       "      <td>-2.052123e+01</td>\n",
       "      <td>1.514927e-01</td>\n",
       "      <td>-1.317565e+00</td>\n",
       "      <td>2.070983e-01</td>\n",
       "      <td>1.068295e-01</td>\n",
       "      <td>-6.756201e-06</td>\n",
       "      <td>-4.700831e-04</td>\n",
       "      <td>8.777835e-03</td>\n",
       "      <td>-6.102019e+00</td>\n",
       "      <td>0.604858</td>\n",
       "      <td>1.340011</td>\n",
       "      <td>0.028354</td>\n",
       "      <td>-0.050344</td>\n",
       "      <td>2.233485e-06</td>\n",
       "      <td>-0.000069</td>\n",
       "      <td>-0.007804</td>\n",
       "      <td>15.959899</td>\n",
       "      <td>2.968680</td>\n",
       "      <td>0.062815</td>\n",
       "      <td>-0.111533</td>\n",
       "      <td>4.948096e-06</td>\n",
       "      <td>-0.000152</td>\n",
       "      <td>-0.017288</td>\n",
       "      <td>35.357796</td>\n",
       "      <td>0.001329</td>\n",
       "      <td>-0.002360</td>\n",
       "      <td>1.046979e-07</td>\n",
       "      <td>-0.000003</td>\n",
       "      <td>-0.000366</td>\n",
       "      <td>0.748144</td>\n",
       "      <td>0.004190</td>\n",
       "      <td>-1.858995e-07</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>0.000650</td>\n",
       "      <td>-1.328389</td>\n",
       "      <td>8.247318e-12</td>\n",
       "      <td>-2.536626e-10</td>\n",
       "      <td>-2.881585e-08</td>\n",
       "      <td>5.893318e-05</td>\n",
       "      <td>7.801894e-09</td>\n",
       "      <td>8.862884e-07</td>\n",
       "      <td>-0.001813</td>\n",
       "      <td>0.000101</td>\n",
       "      <td>-0.205911</td>\n",
       "      <td>421.121047</td>\n",
       "      <td>0.022950</td>\n",
       "      <td>-0.199601</td>\n",
       "      <td>0.031374</td>\n",
       "      <td>0.016184</td>\n",
       "      <td>-1.023515e-06</td>\n",
       "      <td>-0.000071</td>\n",
       "      <td>0.001330</td>\n",
       "      <td>-0.924411</td>\n",
       "      <td>1.735977</td>\n",
       "      <td>-0.272865</td>\n",
       "      <td>-0.140755</td>\n",
       "      <td>8.901733e-06</td>\n",
       "      <td>0.000619</td>\n",
       "      <td>-0.011565</td>\n",
       "      <td>8.039805</td>\n",
       "      <td>0.042890</td>\n",
       "      <td>0.022124</td>\n",
       "      <td>-1.399198e-06</td>\n",
       "      <td>-9.735340e-05</td>\n",
       "      <td>0.001818</td>\n",
       "      <td>-1.263718</td>\n",
       "      <td>0.011413</td>\n",
       "      <td>-7.217614e-07</td>\n",
       "      <td>-5.021872e-05</td>\n",
       "      <td>0.000938</td>\n",
       "      <td>-0.651875</td>\n",
       "      <td>4.564626e-11</td>\n",
       "      <td>3.175976e-09</td>\n",
       "      <td>-5.930482e-08</td>\n",
       "      <td>0.000041</td>\n",
       "      <td>2.209781e-07</td>\n",
       "      <td>-4.126311e-06</td>\n",
       "      <td>0.002868</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>-0.053563</td>\n",
       "      <td>37.234632</td>\n",
       "      <td>1.787434</td>\n",
       "      <td>0.900908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2023-06-23 10:08:01.85</td>\n",
       "      <td>25.625</td>\n",
       "      <td>-80.120617</td>\n",
       "      <td>29.168975</td>\n",
       "      <td>183.6</td>\n",
       "      <td>7.4</td>\n",
       "      <td>24.278216</td>\n",
       "      <td>26.69493</td>\n",
       "      <td>1.730566</td>\n",
       "      <td>2.406959</td>\n",
       "      <td>307.01621</td>\n",
       "      <td>0.000701</td>\n",
       "      <td>0.018819</td>\n",
       "      <td>29.81406</td>\n",
       "      <td>101660.5</td>\n",
       "      <td>26.0978</td>\n",
       "      <td>0.449374</td>\n",
       "      <td>1.354529</td>\n",
       "      <td>304.48452</td>\n",
       "      <td>0.000718</td>\n",
       "      <td>0.022691</td>\n",
       "      <td>29.79559</td>\n",
       "      <td>101758.9</td>\n",
       "      <td>-5.652661e-01</td>\n",
       "      <td>-1.592868e+00</td>\n",
       "      <td>-2.983931e-01</td>\n",
       "      <td>-9.459758e-02</td>\n",
       "      <td>-1.423514e-06</td>\n",
       "      <td>-3.478817e-04</td>\n",
       "      <td>1.003402e-02</td>\n",
       "      <td>-2.052123e+01</td>\n",
       "      <td>-3.218373e-01</td>\n",
       "      <td>-1.205018e+00</td>\n",
       "      <td>-1.055537e-01</td>\n",
       "      <td>-2.487805e-01</td>\n",
       "      <td>-1.186500e-05</td>\n",
       "      <td>-4.836931e-04</td>\n",
       "      <td>8.777835e-03</td>\n",
       "      <td>-6.102019e+00</td>\n",
       "      <td>0.319526</td>\n",
       "      <td>0.900394</td>\n",
       "      <td>0.168671</td>\n",
       "      <td>0.053473</td>\n",
       "      <td>8.046644e-07</td>\n",
       "      <td>0.000197</td>\n",
       "      <td>-0.005672</td>\n",
       "      <td>11.599957</td>\n",
       "      <td>2.537228</td>\n",
       "      <td>0.475301</td>\n",
       "      <td>0.150681</td>\n",
       "      <td>2.267470e-06</td>\n",
       "      <td>0.000554</td>\n",
       "      <td>-0.015983</td>\n",
       "      <td>32.687615</td>\n",
       "      <td>0.089038</td>\n",
       "      <td>0.028227</td>\n",
       "      <td>4.247668e-07</td>\n",
       "      <td>0.000104</td>\n",
       "      <td>-0.002994</td>\n",
       "      <td>6.123394</td>\n",
       "      <td>0.008949</td>\n",
       "      <td>1.346610e-07</td>\n",
       "      <td>0.000033</td>\n",
       "      <td>-0.000949</td>\n",
       "      <td>1.941259</td>\n",
       "      <td>2.026393e-12</td>\n",
       "      <td>4.952146e-10</td>\n",
       "      <td>-1.428358e-08</td>\n",
       "      <td>2.921227e-05</td>\n",
       "      <td>1.210217e-07</td>\n",
       "      <td>-3.490652e-06</td>\n",
       "      <td>0.007139</td>\n",
       "      <td>0.000101</td>\n",
       "      <td>-0.205911</td>\n",
       "      <td>421.121047</td>\n",
       "      <td>0.103579</td>\n",
       "      <td>0.387820</td>\n",
       "      <td>0.033971</td>\n",
       "      <td>0.080067</td>\n",
       "      <td>3.818600e-06</td>\n",
       "      <td>0.000156</td>\n",
       "      <td>-0.002825</td>\n",
       "      <td>1.963857</td>\n",
       "      <td>1.452069</td>\n",
       "      <td>0.127194</td>\n",
       "      <td>0.299785</td>\n",
       "      <td>1.429754e-05</td>\n",
       "      <td>0.000583</td>\n",
       "      <td>-0.010577</td>\n",
       "      <td>7.353044</td>\n",
       "      <td>0.011142</td>\n",
       "      <td>0.026260</td>\n",
       "      <td>1.252395e-06</td>\n",
       "      <td>5.105560e-05</td>\n",
       "      <td>-0.000927</td>\n",
       "      <td>0.644091</td>\n",
       "      <td>0.061892</td>\n",
       "      <td>2.951781e-06</td>\n",
       "      <td>1.203334e-04</td>\n",
       "      <td>-0.002184</td>\n",
       "      <td>1.518063</td>\n",
       "      <td>1.407783e-10</td>\n",
       "      <td>5.739019e-09</td>\n",
       "      <td>-1.041490e-07</td>\n",
       "      <td>0.000072</td>\n",
       "      <td>2.339590e-07</td>\n",
       "      <td>-4.245778e-06</td>\n",
       "      <td>0.002952</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>-0.053563</td>\n",
       "      <td>37.234632</td>\n",
       "      <td>1.472896</td>\n",
       "      <td>0.783395</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",
       "      <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",
       "      <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",
       "      <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",
       "      <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",
       "      <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>5249</th>\n",
       "      <td>2023-06-23 10:12:23.90</td>\n",
       "      <td>25.556</td>\n",
       "      <td>-80.124783</td>\n",
       "      <td>27.934309</td>\n",
       "      <td>164.3</td>\n",
       "      <td>8.1</td>\n",
       "      <td>26.574804</td>\n",
       "      <td>26.83793</td>\n",
       "      <td>4.019322</td>\n",
       "      <td>2.791073</td>\n",
       "      <td>307.01627</td>\n",
       "      <td>0.000701</td>\n",
       "      <td>0.019045</td>\n",
       "      <td>29.84341</td>\n",
       "      <td>101667.8</td>\n",
       "      <td>25.01422</td>\n",
       "      <td>3.238196</td>\n",
       "      <td>1.462491</td>\n",
       "      <td>304.65275</td>\n",
       "      <td>0.000729</td>\n",
       "      <td>0.022819</td>\n",
       "      <td>29.82507</td>\n",
       "      <td>101745.2</td>\n",
       "      <td>-4.222661e-01</td>\n",
       "      <td>6.958881e-01</td>\n",
       "      <td>8.572094e-02</td>\n",
       "      <td>-9.453758e-02</td>\n",
       "      <td>-1.727614e-06</td>\n",
       "      <td>-1.223217e-04</td>\n",
       "      <td>3.938402e-02</td>\n",
       "      <td>-1.322123e+01</td>\n",
       "      <td>-1.405417e+00</td>\n",
       "      <td>1.583804e+00</td>\n",
       "      <td>2.408280e-03</td>\n",
       "      <td>-8.055053e-02</td>\n",
       "      <td>-9.156014e-07</td>\n",
       "      <td>-3.558431e-04</td>\n",
       "      <td>3.825783e-02</td>\n",
       "      <td>-1.980202e+01</td>\n",
       "      <td>0.178309</td>\n",
       "      <td>-0.293850</td>\n",
       "      <td>-0.036197</td>\n",
       "      <td>0.039920</td>\n",
       "      <td>7.295129e-07</td>\n",
       "      <td>0.000052</td>\n",
       "      <td>-0.016631</td>\n",
       "      <td>5.582878</td>\n",
       "      <td>0.484260</td>\n",
       "      <td>0.059652</td>\n",
       "      <td>-0.065788</td>\n",
       "      <td>-1.202226e-06</td>\n",
       "      <td>-0.000085</td>\n",
       "      <td>0.027407</td>\n",
       "      <td>-9.200500</td>\n",
       "      <td>0.007348</td>\n",
       "      <td>-0.008104</td>\n",
       "      <td>-1.480927e-07</td>\n",
       "      <td>-0.000010</td>\n",
       "      <td>0.003376</td>\n",
       "      <td>-1.133337</td>\n",
       "      <td>0.008937</td>\n",
       "      <td>1.633245e-07</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>-0.003723</td>\n",
       "      <td>1.249904</td>\n",
       "      <td>2.984652e-12</td>\n",
       "      <td>2.113247e-10</td>\n",
       "      <td>-6.804041e-08</td>\n",
       "      <td>2.284120e-05</td>\n",
       "      <td>1.496259e-08</td>\n",
       "      <td>-4.817519e-06</td>\n",
       "      <td>0.001617</td>\n",
       "      <td>0.001551</td>\n",
       "      <td>-0.520705</td>\n",
       "      <td>174.801030</td>\n",
       "      <td>1.975198</td>\n",
       "      <td>-2.225905</td>\n",
       "      <td>-0.003385</td>\n",
       "      <td>0.113207</td>\n",
       "      <td>1.286802e-06</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>-0.053768</td>\n",
       "      <td>27.830099</td>\n",
       "      <td>2.508434</td>\n",
       "      <td>0.003814</td>\n",
       "      <td>-0.127576</td>\n",
       "      <td>-1.450133e-06</td>\n",
       "      <td>-0.000564</td>\n",
       "      <td>0.060593</td>\n",
       "      <td>-31.362510</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>-0.000194</td>\n",
       "      <td>-2.205025e-09</td>\n",
       "      <td>-8.569698e-07</td>\n",
       "      <td>0.000092</td>\n",
       "      <td>-0.047689</td>\n",
       "      <td>0.006488</td>\n",
       "      <td>7.375218e-08</td>\n",
       "      <td>2.866335e-05</td>\n",
       "      <td>-0.003082</td>\n",
       "      <td>1.595063</td>\n",
       "      <td>8.383260e-13</td>\n",
       "      <td>3.258104e-10</td>\n",
       "      <td>-3.502893e-08</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>1.266243e-07</td>\n",
       "      <td>-1.361379e-05</td>\n",
       "      <td>0.007046</td>\n",
       "      <td>0.001464</td>\n",
       "      <td>-0.757582</td>\n",
       "      <td>392.119943</td>\n",
       "      <td>0.334958</td>\n",
       "      <td>2.241819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5250</th>\n",
       "      <td>2023-06-23 10:12:23.95</td>\n",
       "      <td>25.556</td>\n",
       "      <td>-80.124783</td>\n",
       "      <td>27.934309</td>\n",
       "      <td>164.3</td>\n",
       "      <td>8.1</td>\n",
       "      <td>26.574804</td>\n",
       "      <td>26.77702</td>\n",
       "      <td>4.105328</td>\n",
       "      <td>2.91369</td>\n",
       "      <td>306.93323</td>\n",
       "      <td>0.000706</td>\n",
       "      <td>0.01914</td>\n",
       "      <td>29.84332</td>\n",
       "      <td>101667.8</td>\n",
       "      <td>25.87712</td>\n",
       "      <td>2.966371</td>\n",
       "      <td>1.640761</td>\n",
       "      <td>304.69148</td>\n",
       "      <td>0.000728</td>\n",
       "      <td>0.023157</td>\n",
       "      <td>29.82303</td>\n",
       "      <td>101745.2</td>\n",
       "      <td>-4.831761e-01</td>\n",
       "      <td>7.818941e-01</td>\n",
       "      <td>2.083379e-01</td>\n",
       "      <td>-1.775776e-01</td>\n",
       "      <td>3.170386e-06</td>\n",
       "      <td>-2.725167e-05</td>\n",
       "      <td>3.929402e-02</td>\n",
       "      <td>-1.322123e+01</td>\n",
       "      <td>-5.425173e-01</td>\n",
       "      <td>1.311979e+00</td>\n",
       "      <td>1.806783e-01</td>\n",
       "      <td>-4.182053e-02</td>\n",
       "      <td>-2.140301e-06</td>\n",
       "      <td>-1.767307e-05</td>\n",
       "      <td>3.621783e-02</td>\n",
       "      <td>-1.980202e+01</td>\n",
       "      <td>0.233459</td>\n",
       "      <td>-0.377793</td>\n",
       "      <td>-0.100664</td>\n",
       "      <td>0.085801</td>\n",
       "      <td>-1.531854e-06</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>-0.018986</td>\n",
       "      <td>6.388184</td>\n",
       "      <td>0.611358</td>\n",
       "      <td>0.162898</td>\n",
       "      <td>-0.138847</td>\n",
       "      <td>2.478906e-06</td>\n",
       "      <td>-0.000021</td>\n",
       "      <td>0.030724</td>\n",
       "      <td>-10.337605</td>\n",
       "      <td>0.043405</td>\n",
       "      <td>-0.036996</td>\n",
       "      <td>6.605116e-07</td>\n",
       "      <td>-0.000006</td>\n",
       "      <td>0.008186</td>\n",
       "      <td>-2.754485</td>\n",
       "      <td>0.031534</td>\n",
       "      <td>-5.629894e-07</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>-0.006978</td>\n",
       "      <td>2.347795</td>\n",
       "      <td>1.005134e-11</td>\n",
       "      <td>-8.639831e-11</td>\n",
       "      <td>1.245772e-07</td>\n",
       "      <td>-4.191641e-05</td>\n",
       "      <td>7.426536e-10</td>\n",
       "      <td>-1.070828e-06</td>\n",
       "      <td>0.000360</td>\n",
       "      <td>0.001544</td>\n",
       "      <td>-0.519515</td>\n",
       "      <td>174.801030</td>\n",
       "      <td>0.294325</td>\n",
       "      <td>-0.711771</td>\n",
       "      <td>-0.098021</td>\n",
       "      <td>0.022688</td>\n",
       "      <td>1.161151e-06</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>-0.019649</td>\n",
       "      <td>10.742937</td>\n",
       "      <td>1.721288</td>\n",
       "      <td>0.237046</td>\n",
       "      <td>-0.054868</td>\n",
       "      <td>-2.808030e-06</td>\n",
       "      <td>-0.000023</td>\n",
       "      <td>0.047517</td>\n",
       "      <td>-25.979826</td>\n",
       "      <td>0.032645</td>\n",
       "      <td>-0.007556</td>\n",
       "      <td>-3.867060e-07</td>\n",
       "      <td>-3.193140e-06</td>\n",
       "      <td>0.006544</td>\n",
       "      <td>-3.577795</td>\n",
       "      <td>0.001749</td>\n",
       "      <td>8.950855e-08</td>\n",
       "      <td>7.390973e-07</td>\n",
       "      <td>-0.001515</td>\n",
       "      <td>0.828131</td>\n",
       "      <td>4.580890e-12</td>\n",
       "      <td>3.782570e-11</td>\n",
       "      <td>-7.751708e-08</td>\n",
       "      <td>0.000042</td>\n",
       "      <td>3.123375e-10</td>\n",
       "      <td>-6.400804e-07</td>\n",
       "      <td>0.000350</td>\n",
       "      <td>0.001312</td>\n",
       "      <td>-0.717186</td>\n",
       "      <td>392.119943</td>\n",
       "      <td>0.444111</td>\n",
       "      <td>1.024129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5251</th>\n",
       "      <td>2023-06-23 10:12:24.00</td>\n",
       "      <td>25.556</td>\n",
       "      <td>-80.124783</td>\n",
       "      <td>27.934309</td>\n",
       "      <td>164.3</td>\n",
       "      <td>8.1</td>\n",
       "      <td>26.574804</td>\n",
       "      <td>26.9145</td>\n",
       "      <td>4.212116</td>\n",
       "      <td>2.977624</td>\n",
       "      <td>306.99823</td>\n",
       "      <td>0.000703</td>\n",
       "      <td>0.019038</td>\n",
       "      <td>29.84332</td>\n",
       "      <td>101662.6</td>\n",
       "      <td>25.89785</td>\n",
       "      <td>3.140835</td>\n",
       "      <td>1.65544</td>\n",
       "      <td>304.65795</td>\n",
       "      <td>0.000724</td>\n",
       "      <td>0.022663</td>\n",
       "      <td>29.82303</td>\n",
       "      <td>101750.8</td>\n",
       "      <td>-3.456961e-01</td>\n",
       "      <td>8.886821e-01</td>\n",
       "      <td>2.722719e-01</td>\n",
       "      <td>-1.125776e-01</td>\n",
       "      <td>3.601855e-07</td>\n",
       "      <td>-1.292417e-04</td>\n",
       "      <td>3.929402e-02</td>\n",
       "      <td>-1.842123e+01</td>\n",
       "      <td>-5.217873e-01</td>\n",
       "      <td>1.486443e+00</td>\n",
       "      <td>1.953573e-01</td>\n",
       "      <td>-7.535053e-02</td>\n",
       "      <td>-6.221801e-06</td>\n",
       "      <td>-5.123931e-04</td>\n",
       "      <td>3.621783e-02</td>\n",
       "      <td>-1.420202e+01</td>\n",
       "      <td>0.119506</td>\n",
       "      <td>-0.307214</td>\n",
       "      <td>-0.094123</td>\n",
       "      <td>0.038918</td>\n",
       "      <td>-1.245147e-07</td>\n",
       "      <td>0.000045</td>\n",
       "      <td>-0.013584</td>\n",
       "      <td>6.368148</td>\n",
       "      <td>0.789756</td>\n",
       "      <td>0.241963</td>\n",
       "      <td>-0.100046</td>\n",
       "      <td>3.200905e-07</td>\n",
       "      <td>-0.000115</td>\n",
       "      <td>0.034920</td>\n",
       "      <td>-16.370621</td>\n",
       "      <td>0.074132</td>\n",
       "      <td>-0.030652</td>\n",
       "      <td>9.806842e-08</td>\n",
       "      <td>-0.000035</td>\n",
       "      <td>0.010699</td>\n",
       "      <td>-5.015585</td>\n",
       "      <td>0.012674</td>\n",
       "      <td>-4.054882e-08</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.004424</td>\n",
       "      <td>2.073818</td>\n",
       "      <td>1.297336e-13</td>\n",
       "      <td>-4.655098e-11</td>\n",
       "      <td>1.415314e-08</td>\n",
       "      <td>-6.635062e-06</td>\n",
       "      <td>1.670341e-08</td>\n",
       "      <td>-5.078425e-06</td>\n",
       "      <td>0.002381</td>\n",
       "      <td>0.001544</td>\n",
       "      <td>-0.723844</td>\n",
       "      <td>339.341864</td>\n",
       "      <td>0.272262</td>\n",
       "      <td>-0.775607</td>\n",
       "      <td>-0.101935</td>\n",
       "      <td>0.039317</td>\n",
       "      <td>3.246457e-06</td>\n",
       "      <td>0.000267</td>\n",
       "      <td>-0.018898</td>\n",
       "      <td>7.410433</td>\n",
       "      <td>2.209512</td>\n",
       "      <td>0.290387</td>\n",
       "      <td>-0.112004</td>\n",
       "      <td>-9.248351e-06</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.053836</td>\n",
       "      <td>-21.110487</td>\n",
       "      <td>0.038164</td>\n",
       "      <td>-0.014720</td>\n",
       "      <td>-1.215474e-06</td>\n",
       "      <td>-1.000997e-04</td>\n",
       "      <td>0.007075</td>\n",
       "      <td>-2.774468</td>\n",
       "      <td>0.005678</td>\n",
       "      <td>4.688161e-07</td>\n",
       "      <td>3.860909e-05</td>\n",
       "      <td>-0.002729</td>\n",
       "      <td>1.070130</td>\n",
       "      <td>3.871081e-11</td>\n",
       "      <td>3.188008e-09</td>\n",
       "      <td>-2.253402e-07</td>\n",
       "      <td>0.000088</td>\n",
       "      <td>2.625467e-07</td>\n",
       "      <td>-1.855777e-05</td>\n",
       "      <td>0.007277</td>\n",
       "      <td>0.001312</td>\n",
       "      <td>-0.514366</td>\n",
       "      <td>201.697334</td>\n",
       "      <td>0.491697</td>\n",
       "      <td>1.259969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5252</th>\n",
       "      <td>NaT</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5253</th>\n",
       "      <td>NaT</td>\n",
       "      <td>25.590415</td>\n",
       "      <td>-80.123329</td>\n",
       "      <td>29.210593</td>\n",
       "      <td>183.052085</td>\n",
       "      <td>7.56812</td>\n",
       "      <td>24.829792</td>\n",
       "      <td>27.260196</td>\n",
       "      <td>3.323434</td>\n",
       "      <td>2.705352</td>\n",
       "      <td>307.110808</td>\n",
       "      <td>0.000703</td>\n",
       "      <td>0.019167</td>\n",
       "      <td>29.804026</td>\n",
       "      <td>101681.021234</td>\n",
       "      <td>26.419637</td>\n",
       "      <td>1.654392</td>\n",
       "      <td>1.460083</td>\n",
       "      <td>304.733301</td>\n",
       "      <td>0.00073</td>\n",
       "      <td>0.023175</td>\n",
       "      <td>29.786812</td>\n",
       "      <td>101765.002019</td>\n",
       "      <td>-1.014326e-14</td>\n",
       "      <td>-1.168282e-15</td>\n",
       "      <td>-8.352362e-16</td>\n",
       "      <td>3.104683e-14</td>\n",
       "      <td>8.031892e-21</td>\n",
       "      <td>2.102415e-18</td>\n",
       "      <td>-6.168907e-14</td>\n",
       "      <td>4.817679e-10</td>\n",
       "      <td>2.327430e-14</td>\n",
       "      <td>-1.050388e-16</td>\n",
       "      <td>-1.376330e-15</td>\n",
       "      <td>1.550177e-14</td>\n",
       "      <td>2.090976e-19</td>\n",
       "      <td>3.454911e-18</td>\n",
       "      <td>-3.101706e-14</td>\n",
       "      <td>-1.199376e-10</td>\n",
       "      <td>0.133887</td>\n",
       "      <td>0.030534</td>\n",
       "      <td>0.013482</td>\n",
       "      <td>0.009289</td>\n",
       "      <td>2.495205e-07</td>\n",
       "      <td>-0.000029</td>\n",
       "      <td>0.000056</td>\n",
       "      <td>0.265801</td>\n",
       "      <td>0.321270</td>\n",
       "      <td>0.002343</td>\n",
       "      <td>0.004736</td>\n",
       "      <td>-1.152755e-07</td>\n",
       "      <td>-0.000101</td>\n",
       "      <td>0.001115</td>\n",
       "      <td>0.815314</td>\n",
       "      <td>0.061740</td>\n",
       "      <td>0.004784</td>\n",
       "      <td>6.559042e-07</td>\n",
       "      <td>0.000028</td>\n",
       "      <td>0.000068</td>\n",
       "      <td>0.151601</td>\n",
       "      <td>0.014259</td>\n",
       "      <td>-4.126313e-08</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>0.000025</td>\n",
       "      <td>0.042007</td>\n",
       "      <td>1.941656e-11</td>\n",
       "      <td>1.034409e-11</td>\n",
       "      <td>-3.427898e-10</td>\n",
       "      <td>-9.803220e-07</td>\n",
       "      <td>2.080388e-07</td>\n",
       "      <td>-6.282818e-07</td>\n",
       "      <td>-0.000186</td>\n",
       "      <td>0.000131</td>\n",
       "      <td>-0.000623</td>\n",
       "      <td>315.947801</td>\n",
       "      <td>0.153832</td>\n",
       "      <td>-0.019074</td>\n",
       "      <td>-0.009859</td>\n",
       "      <td>0.002786</td>\n",
       "      <td>-3.066067e-07</td>\n",
       "      <td>-0.000029</td>\n",
       "      <td>-0.000228</td>\n",
       "      <td>0.386409</td>\n",
       "      <td>0.316348</td>\n",
       "      <td>0.005853</td>\n",
       "      <td>-0.004802</td>\n",
       "      <td>5.991104e-07</td>\n",
       "      <td>-0.000039</td>\n",
       "      <td>0.001296</td>\n",
       "      <td>0.617045</td>\n",
       "      <td>0.035555</td>\n",
       "      <td>0.000678</td>\n",
       "      <td>-5.181115e-07</td>\n",
       "      <td>1.630580e-05</td>\n",
       "      <td>0.000135</td>\n",
       "      <td>0.199578</td>\n",
       "      <td>0.016264</td>\n",
       "      <td>1.703780e-07</td>\n",
       "      <td>3.196060e-05</td>\n",
       "      <td>-0.000029</td>\n",
       "      <td>-0.011124</td>\n",
       "      <td>6.694421e-11</td>\n",
       "      <td>1.212890e-09</td>\n",
       "      <td>-1.528612e-09</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>3.297407e-07</td>\n",
       "      <td>-1.557889e-06</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>0.000168</td>\n",
       "      <td>0.013303</td>\n",
       "      <td>296.729998</td>\n",
       "      <td>0.258449</td>\n",
       "      <td>0.252867</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5245 rows × 113 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   TIMESTAMP   latitude  longitude      speed      course  \\\n",
       "9     2023-06-23 10:08:01.65     25.625 -80.120617  29.168975       183.6   \n",
       "10    2023-06-23 10:08:01.70     25.625 -80.120617  29.168975       183.6   \n",
       "11    2023-06-23 10:08:01.75     25.625 -80.120617  29.168975       183.6   \n",
       "12    2023-06-23 10:08:01.80     25.625 -80.120617  29.168975       183.6   \n",
       "13    2023-06-23 10:08:01.85     25.625 -80.120617  29.168975       183.6   \n",
       "...                      ...        ...        ...        ...         ...   \n",
       "5249  2023-06-23 10:12:23.90     25.556 -80.124783  27.934309       164.3   \n",
       "5250  2023-06-23 10:12:23.95     25.556 -80.124783  27.934309       164.3   \n",
       "5251  2023-06-23 10:12:24.00     25.556 -80.124783  27.934309       164.3   \n",
       "5252                     NaT          0          0          0           0   \n",
       "5253                     NaT  25.590415 -80.123329  29.210593  183.052085   \n",
       "\n",
       "     altitude altitude in Feet        Ux1       Uy1       Uz1         Ts1  \\\n",
       "9         7.4        24.278216   27.02333  1.964262  2.563583   306.90527   \n",
       "10        7.4        24.278216   26.89863  1.790885  2.562363   306.97016   \n",
       "11        7.4        24.278216   26.83506  1.918925  2.368721   306.98041   \n",
       "12        7.4        24.278216   26.48247  1.600448  2.668895   307.17554   \n",
       "13        7.4        24.278216   26.69493  1.730566  2.406959   307.01621   \n",
       "...       ...              ...        ...       ...       ...         ...   \n",
       "5249      8.1        26.574804   26.83793  4.019322  2.791073   307.01627   \n",
       "5250      8.1        26.574804   26.77702  4.105328   2.91369   306.93323   \n",
       "5251      8.1        26.574804    26.9145  4.212116  2.977624   306.99823   \n",
       "5252        0                0          0         0         0           0   \n",
       "5253  7.56812        24.829792  27.260196  3.323434  2.705352  307.110808   \n",
       "\n",
       "          CO21      H2O1 cell_tmpr1    cell_press1        Ux2       Uy2  \\\n",
       "9     0.000706  0.019034   29.81406       101660.5   26.36168  0.633123   \n",
       "10    0.000701  0.018925   29.81406       101660.5    26.1818  0.500141   \n",
       "11    0.000702  0.018785   29.81406       101660.5   26.38489   0.59532   \n",
       "12      0.0007  0.019256   29.81406       101660.5   26.57113  0.336828   \n",
       "13    0.000701  0.018819   29.81406       101660.5    26.0978  0.449374   \n",
       "...        ...       ...        ...            ...        ...       ...   \n",
       "5249  0.000701  0.019045   29.84341       101667.8   25.01422  3.238196   \n",
       "5250  0.000706   0.01914   29.84332       101667.8   25.87712  2.966371   \n",
       "5251  0.000703  0.019038   29.84332       101662.6   25.89785  3.140835   \n",
       "5252         0         0          0              0          0         0   \n",
       "5253  0.000703  0.019167  29.804026  101681.021234  26.419637  1.654392   \n",
       "\n",
       "           Uz2         Ts2      CO22      H2O2 cell_tmpr2    cell_press2  \\\n",
       "9       1.3943   304.70691  0.000727  0.022502   29.79559       101758.9   \n",
       "10    1.384937   304.60268  0.000717  0.022571   29.79559       101758.9   \n",
       "11    1.465118   304.69964  0.000718   0.02281   29.79559       101758.9   \n",
       "12    1.667181   304.84013  0.000723  0.022705   29.79559       101758.9   \n",
       "13    1.354529   304.48452  0.000718  0.022691   29.79559       101758.9   \n",
       "...        ...         ...       ...       ...        ...            ...   \n",
       "5249  1.462491   304.65275  0.000729  0.022819   29.82507       101745.2   \n",
       "5250  1.640761   304.69148  0.000728  0.023157   29.82303       101745.2   \n",
       "5251   1.65544   304.65795  0.000724  0.022663   29.82303       101750.8   \n",
       "5252         0           0         0         0          0              0   \n",
       "5253  1.460083  304.733301   0.00073  0.023175  29.786812  101765.002019   \n",
       "\n",
       "              Ux1'          Uy1'          Uz1'          Ts1'         CO21'  \\\n",
       "9    -2.368661e-01 -1.359172e+00 -1.417691e-01 -2.055376e-01  2.970286e-06   \n",
       "10   -3.615661e-01 -1.532549e+00 -1.429891e-01 -1.406476e-01 -1.991314e-06   \n",
       "11   -4.251361e-01 -1.404509e+00 -3.366311e-01 -1.303976e-01 -3.970145e-07   \n",
       "12   -7.777261e-01 -1.722986e+00 -3.645706e-02  6.473242e-02 -2.871814e-06   \n",
       "13   -5.652661e-01 -1.592868e+00 -2.983931e-01 -9.459758e-02 -1.423514e-06   \n",
       "...            ...           ...           ...           ...           ...   \n",
       "5249 -4.222661e-01  6.958881e-01  8.572094e-02 -9.453758e-02 -1.727614e-06   \n",
       "5250 -4.831761e-01  7.818941e-01  2.083379e-01 -1.775776e-01  3.170386e-06   \n",
       "5251 -3.456961e-01  8.886821e-01  2.722719e-01 -1.125776e-01  3.601855e-07   \n",
       "5252  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "5253 -1.014326e-14 -1.168282e-15 -8.352362e-16  3.104683e-14  8.031892e-21   \n",
       "\n",
       "             H2O1'   cell_tmpr1'  cell_press1'          Ux2'          Uy2'  \\\n",
       "9    -1.335717e-04  1.003402e-02 -2.052123e+01 -5.795727e-02 -1.021269e+00   \n",
       "10   -2.422917e-04  1.003402e-02 -2.052123e+01 -2.378373e-01 -1.154252e+00   \n",
       "11   -3.822917e-04  1.003402e-02 -2.052123e+01 -3.474727e-02 -1.059072e+00   \n",
       "12    8.832833e-05  1.003402e-02 -2.052123e+01  1.514927e-01 -1.317565e+00   \n",
       "13   -3.478817e-04  1.003402e-02 -2.052123e+01 -3.218373e-01 -1.205018e+00   \n",
       "...            ...           ...           ...           ...           ...   \n",
       "5249 -1.223217e-04  3.938402e-02 -1.322123e+01 -1.405417e+00  1.583804e+00   \n",
       "5250 -2.725167e-05  3.929402e-02 -1.322123e+01 -5.425173e-01  1.311979e+00   \n",
       "5251 -1.292417e-04  3.929402e-02 -1.842123e+01 -5.217873e-01  1.486443e+00   \n",
       "5252  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "5253  2.102415e-18 -6.168907e-14  4.817679e-10  2.327430e-14 -1.050388e-16   \n",
       "\n",
       "              Uz2'          Ts2'         CO22'         H2O2'   cell_tmpr2'  \\\n",
       "9    -6.578272e-02 -2.639053e-02 -2.938101e-06 -6.727731e-04  8.777835e-03   \n",
       "10   -7.514572e-02 -1.306205e-01 -1.262860e-05 -6.043831e-04  8.777835e-03   \n",
       "11    5.035280e-03 -3.366053e-02 -1.229220e-05 -3.648131e-04  8.777835e-03   \n",
       "12    2.070983e-01  1.068295e-01 -6.756201e-06 -4.700831e-04  8.777835e-03   \n",
       "13   -1.055537e-01 -2.487805e-01 -1.186500e-05 -4.836931e-04  8.777835e-03   \n",
       "...            ...           ...           ...           ...           ...   \n",
       "5249  2.408280e-03 -8.055053e-02 -9.156014e-07 -3.558431e-04  3.825783e-02   \n",
       "5250  1.806783e-01 -4.182053e-02 -2.140301e-06 -1.767307e-05  3.621783e-02   \n",
       "5251  1.953573e-01 -7.535053e-02 -6.221801e-06 -5.123931e-04  3.621783e-02   \n",
       "5252  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "5253 -1.376330e-15  1.550177e-14  2.090976e-19  3.454911e-18 -3.101706e-14   \n",
       "\n",
       "      cell_press2'  Ux1' * Ux1'  Ux1' * Uy1'  Ux1' * Uz1'  Ux1' * Ts1'  \\\n",
       "9    -6.102019e+00     0.056106     0.321942     0.033580     0.048685   \n",
       "10   -6.102019e+00     0.130730     0.554118     0.051700     0.050853   \n",
       "11   -6.102019e+00     0.180741     0.597107     0.143114     0.055437   \n",
       "12   -6.102019e+00     0.604858     1.340011     0.028354    -0.050344   \n",
       "13   -6.102019e+00     0.319526     0.900394     0.168671     0.053473   \n",
       "...            ...          ...          ...          ...          ...   \n",
       "5249 -1.980202e+01     0.178309    -0.293850    -0.036197     0.039920   \n",
       "5250 -1.980202e+01     0.233459    -0.377793    -0.100664     0.085801   \n",
       "5251 -1.420202e+01     0.119506    -0.307214    -0.094123     0.038918   \n",
       "5252  0.000000e+00     0.000000     0.000000     0.000000     0.000000   \n",
       "5253 -1.199376e-10     0.133887     0.030534     0.013482     0.009289   \n",
       "\n",
       "      Ux1' * CO21'  Ux1' * H2O1'  Ux1' * cell_tmpr1'  Ux1' * cell_press1'  \\\n",
       "9    -7.035598e-07      0.000032           -0.002377             4.860784   \n",
       "10    7.199917e-07      0.000088           -0.003628             7.419782   \n",
       "11    1.687852e-07      0.000163           -0.004266             8.724317   \n",
       "12    2.233485e-06     -0.000069           -0.007804            15.959899   \n",
       "13    8.046644e-07      0.000197           -0.005672            11.599957   \n",
       "...            ...           ...                 ...                  ...   \n",
       "5249  7.295129e-07      0.000052           -0.016631             5.582878   \n",
       "5250 -1.531854e-06      0.000013           -0.018986             6.388184   \n",
       "5251 -1.245147e-07      0.000045           -0.013584             6.368148   \n",
       "5252  0.000000e+00      0.000000            0.000000             0.000000   \n",
       "5253  2.495205e-07     -0.000029            0.000056             0.265801   \n",
       "\n",
       "      Uy1' * Uy1'  Uy1' * Uz1'  Uy1' * Ts1'  Uy1' * CO21'  Uy1' * H2O1'  \\\n",
       "9        1.847348     0.192689     0.279361 -4.037129e-06      0.000182   \n",
       "10       2.348706     0.219138     0.215549  3.051787e-06      0.000371   \n",
       "11       1.972645     0.472801     0.183145  5.576103e-07      0.000537   \n",
       "12       2.968680     0.062815    -0.111533  4.948096e-06     -0.000152   \n",
       "13       2.537228     0.475301     0.150681  2.267470e-06      0.000554   \n",
       "...           ...          ...          ...           ...           ...   \n",
       "5249     0.484260     0.059652    -0.065788 -1.202226e-06     -0.000085   \n",
       "5250     0.611358     0.162898    -0.138847  2.478906e-06     -0.000021   \n",
       "5251     0.789756     0.241963    -0.100046  3.200905e-07     -0.000115   \n",
       "5252     0.000000     0.000000     0.000000  0.000000e+00      0.000000   \n",
       "5253     0.321270     0.002343     0.004736 -1.152755e-07     -0.000101   \n",
       "\n",
       "      Uy1' * cell_tmpr1'  Uy1' * cell_press1'  Uz1' * Uz1'  Uz1' * Ts1'  \\\n",
       "9              -0.013638            27.891884     0.020098     0.029139   \n",
       "10             -0.015378            31.449794     0.020446     0.020111   \n",
       "11             -0.014093            28.822255     0.113320     0.043896   \n",
       "12             -0.017288            35.357796     0.001329    -0.002360   \n",
       "13             -0.015983            32.687615     0.089038     0.028227   \n",
       "...                  ...                  ...          ...          ...   \n",
       "5249            0.027407            -9.200500     0.007348    -0.008104   \n",
       "5250            0.030724           -10.337605     0.043405    -0.036996   \n",
       "5251            0.034920           -16.370621     0.074132    -0.030652   \n",
       "5252            0.000000             0.000000     0.000000     0.000000   \n",
       "5253            0.001115             0.815314     0.061740     0.004784   \n",
       "\n",
       "      Uz1' * CO21'  Uz1' * H2O1'  Uz1' * cell_tmpr1'  Uz1' * cell_press1'  \\\n",
       "9    -4.210946e-07      0.000019           -0.001423             2.909276   \n",
       "10    2.847362e-07      0.000035           -0.001435             2.934312   \n",
       "11    1.336474e-07      0.000129           -0.003378             6.908085   \n",
       "12    1.046979e-07     -0.000003           -0.000366             0.748144   \n",
       "13    4.247668e-07      0.000104           -0.002994             6.123394   \n",
       "...            ...           ...                 ...                  ...   \n",
       "5249 -1.480927e-07     -0.000010            0.003376            -1.133337   \n",
       "5250  6.605116e-07     -0.000006            0.008186            -2.754485   \n",
       "5251  9.806842e-08     -0.000035            0.010699            -5.015585   \n",
       "5252  0.000000e+00      0.000000            0.000000             0.000000   \n",
       "5253  6.559042e-07      0.000028            0.000068             0.151601   \n",
       "\n",
       "      Ts1' * Ts1'  Ts1' * CO21'  Ts1' * H2O1'  Ts1' * cell_tmpr1'  \\\n",
       "9        0.042246 -6.105053e-07      0.000027           -0.002062   \n",
       "10       0.019782  2.800736e-07      0.000034           -0.001411   \n",
       "11       0.017004  5.176973e-08      0.000050           -0.001308   \n",
       "12       0.004190 -1.858995e-07      0.000006            0.000650   \n",
       "13       0.008949  1.346610e-07      0.000033           -0.000949   \n",
       "...           ...           ...           ...                 ...   \n",
       "5249     0.008937  1.633245e-07      0.000012           -0.003723   \n",
       "5250     0.031534 -5.629894e-07      0.000005           -0.006978   \n",
       "5251     0.012674 -4.054882e-08      0.000015           -0.004424   \n",
       "5252     0.000000  0.000000e+00      0.000000            0.000000   \n",
       "5253     0.014259 -4.126313e-08      0.000006            0.000025   \n",
       "\n",
       "      Ts1' * cell_press1'  CO21' * CO21'  CO21' * H2O1'  CO21' * cell_tmpr1'  \\\n",
       "9                4.217885   8.822596e-12  -3.967460e-10         2.980391e-08   \n",
       "10               2.886262   3.965333e-12   4.824789e-10        -1.998089e-08   \n",
       "11               2.675919   1.576205e-13   1.517753e-10        -3.983652e-09   \n",
       "12              -1.328389   8.247318e-12  -2.536626e-10        -2.881585e-08   \n",
       "13               1.941259   2.026393e-12   4.952146e-10        -1.428358e-08   \n",
       "...                   ...            ...            ...                  ...   \n",
       "5249             1.249904   2.984652e-12   2.113247e-10        -6.804041e-08   \n",
       "5250             2.347795   1.005134e-11  -8.639831e-11         1.245772e-07   \n",
       "5251             2.073818   1.297336e-13  -4.655098e-11         1.415314e-08   \n",
       "5252             0.000000   0.000000e+00   0.000000e+00         0.000000e+00   \n",
       "5253             0.042007   1.941656e-11   1.034409e-11        -3.427898e-10   \n",
       "\n",
       "      CO21' * cell_press1'  H2O1' * H2O1'  H2O1' * cell_tmpr1'  \\\n",
       "9            -6.095392e-05   1.784139e-08        -1.340261e-06   \n",
       "10            4.086423e-05   5.870525e-08        -2.431160e-06   \n",
       "11            8.147227e-06   1.461469e-07        -3.835923e-06   \n",
       "12            5.893318e-05   7.801894e-09         8.862884e-07   \n",
       "13            2.921227e-05   1.210217e-07        -3.490652e-06   \n",
       "...                    ...            ...                  ...   \n",
       "5249          2.284120e-05   1.496259e-08        -4.817519e-06   \n",
       "5250         -4.191641e-05   7.426536e-10        -1.070828e-06   \n",
       "5251         -6.635062e-06   1.670341e-08        -5.078425e-06   \n",
       "5252          0.000000e+00   0.000000e+00         0.000000e+00   \n",
       "5253         -9.803220e-07   2.080388e-07        -6.282818e-07   \n",
       "\n",
       "      H2O1' * cell_press1'  cell_tmpr1' * cell_tmpr1'  \\\n",
       "9                 0.002741                   0.000101   \n",
       "10                0.004972                   0.000101   \n",
       "11                0.007845                   0.000101   \n",
       "12               -0.001813                   0.000101   \n",
       "13                0.007139                   0.000101   \n",
       "...                    ...                        ...   \n",
       "5249              0.001617                   0.001551   \n",
       "5250              0.000360                   0.001544   \n",
       "5251              0.002381                   0.001544   \n",
       "5252              0.000000                   0.000000   \n",
       "5253             -0.000186                   0.000131   \n",
       "\n",
       "      cell_tmpr1' * cell_press1'  cell_press1' * cell_press1'  Ux2' * Ux2'  \\\n",
       "9                      -0.205911                   421.121047     0.003359   \n",
       "10                     -0.205911                   421.121047     0.056567   \n",
       "11                     -0.205911                   421.121047     0.001207   \n",
       "12                     -0.205911                   421.121047     0.022950   \n",
       "13                     -0.205911                   421.121047     0.103579   \n",
       "...                          ...                          ...          ...   \n",
       "5249                   -0.520705                   174.801030     1.975198   \n",
       "5250                   -0.519515                   174.801030     0.294325   \n",
       "5251                   -0.723844                   339.341864     0.272262   \n",
       "5252                    0.000000                     0.000000     0.000000   \n",
       "5253                   -0.000623                   315.947801     0.153832   \n",
       "\n",
       "      Ux2' * Uy2'  Ux2' * Uz2'  Ux2' * Ts2'  Ux2' * CO22'  Ux2' * H2O2'  \\\n",
       "9        0.059190     0.003813     0.001530  1.702843e-07      0.000039   \n",
       "10       0.274524     0.017872     0.031066  3.003552e-06      0.000144   \n",
       "11       0.036800    -0.000175     0.001170  4.271205e-07      0.000013   \n",
       "12      -0.199601     0.031374     0.016184 -1.023515e-06     -0.000071   \n",
       "13       0.387820     0.033971     0.080067  3.818600e-06      0.000156   \n",
       "...           ...          ...          ...           ...           ...   \n",
       "5249    -2.225905    -0.003385     0.113207  1.286802e-06      0.000500   \n",
       "5250    -0.711771    -0.098021     0.022688  1.161151e-06      0.000010   \n",
       "5251    -0.775607    -0.101935     0.039317  3.246457e-06      0.000267   \n",
       "5252     0.000000     0.000000     0.000000  0.000000e+00      0.000000   \n",
       "5253    -0.019074    -0.009859     0.002786 -3.066067e-07     -0.000029   \n",
       "\n",
       "      Ux2' * cell_tmpr2'  Ux2' * cell_press2'  Uy2' * Uy2'  Uy2' * Uz2'  \\\n",
       "9              -0.000509             0.353656     1.042991     0.067182   \n",
       "10             -0.002088             1.451287     1.332297     0.086737   \n",
       "11             -0.000305             0.212028     1.121634    -0.005333   \n",
       "12              0.001330            -0.924411     1.735977    -0.272865   \n",
       "13             -0.002825             1.963857     1.452069     0.127194   \n",
       "...                  ...                  ...          ...          ...   \n",
       "5249           -0.053768            27.830099     2.508434     0.003814   \n",
       "5250           -0.019649            10.742937     1.721288     0.237046   \n",
       "5251           -0.018898             7.410433     2.209512     0.290387   \n",
       "5252            0.000000             0.000000     0.000000     0.000000   \n",
       "5253           -0.000228             0.386409     0.316348     0.005853   \n",
       "\n",
       "      Uy2' * Ts2'  Uy2' * CO22'  Uy2' * H2O2'  Uy2' * cell_tmpr2'  \\\n",
       "9        0.026952  3.000593e-06      0.000687           -0.008965   \n",
       "10       0.150769  1.457658e-05      0.000698           -0.010132   \n",
       "11       0.035649  1.301833e-05      0.000386           -0.009296   \n",
       "12      -0.140755  8.901733e-06      0.000619           -0.011565   \n",
       "13       0.299785  1.429754e-05      0.000583           -0.010577   \n",
       "...           ...           ...           ...                 ...   \n",
       "5249    -0.127576 -1.450133e-06     -0.000564            0.060593   \n",
       "5250    -0.054868 -2.808030e-06     -0.000023            0.047517   \n",
       "5251    -0.112004 -9.248351e-06     -0.000762            0.053836   \n",
       "5252     0.000000  0.000000e+00      0.000000            0.000000   \n",
       "5253    -0.004802  5.991104e-07     -0.000039            0.001296   \n",
       "\n",
       "      Uy2' * cell_press2'  Uz2' * Uz2'  Uz2' * Ts2'  Uz2' * CO22'  \\\n",
       "9                6.231805     0.004327     0.001736  1.932763e-07   \n",
       "10               7.043266     0.005647     0.009816  9.489853e-07   \n",
       "11               6.462478     0.000025    -0.000169 -6.189468e-08   \n",
       "12               8.039805     0.042890     0.022124 -1.399198e-06   \n",
       "13               7.353044     0.011142     0.026260  1.252395e-06   \n",
       "...                   ...          ...          ...           ...   \n",
       "5249           -31.362510     0.000006    -0.000194 -2.205025e-09   \n",
       "5250           -25.979826     0.032645    -0.007556 -3.867060e-07   \n",
       "5251           -21.110487     0.038164    -0.014720 -1.215474e-06   \n",
       "5252             0.000000     0.000000     0.000000  0.000000e+00   \n",
       "5253             0.617045     0.035555     0.000678 -5.181115e-07   \n",
       "\n",
       "      Uz2' * H2O2'  Uz2' * cell_tmpr2'  Uz2' * cell_press2'  Ts2' * Ts2'  \\\n",
       "9     4.425684e-05           -0.000577             0.401407     0.000696   \n",
       "10    4.541680e-05           -0.000660             0.458541     0.017062   \n",
       "11   -1.836936e-06            0.000044            -0.030725     0.001133   \n",
       "12   -9.735340e-05            0.001818            -1.263718     0.011413   \n",
       "13    5.105560e-05           -0.000927             0.644091     0.061892   \n",
       "...            ...                 ...                  ...          ...   \n",
       "5249 -8.569698e-07            0.000092            -0.047689     0.006488   \n",
       "5250 -3.193140e-06            0.006544            -3.577795     0.001749   \n",
       "5251 -1.000997e-04            0.007075            -2.774468     0.005678   \n",
       "5252  0.000000e+00            0.000000             0.000000     0.000000   \n",
       "5253  1.630580e-05            0.000135             0.199578     0.016264   \n",
       "\n",
       "      Ts2' * CO22'  Ts2' * H2O2'  Ts2' * cell_tmpr2'  Ts2' * cell_press2'  \\\n",
       "9     7.753806e-08  1.775484e-05           -0.000232             0.161036   \n",
       "10    1.649555e-06  7.894484e-05           -0.001147             0.797049   \n",
       "11    4.137621e-07  1.227980e-05           -0.000295             0.205397   \n",
       "12   -7.217614e-07 -5.021872e-05            0.000938            -0.651875   \n",
       "13    2.951781e-06  1.203334e-04           -0.002184             1.518063   \n",
       "...            ...           ...                 ...                  ...   \n",
       "5249  7.375218e-08  2.866335e-05           -0.003082             1.595063   \n",
       "5250  8.950855e-08  7.390973e-07           -0.001515             0.828131   \n",
       "5251  4.688161e-07  3.860909e-05           -0.002729             1.070130   \n",
       "5252  0.000000e+00  0.000000e+00            0.000000             0.000000   \n",
       "5253  1.703780e-07  3.196060e-05           -0.000029            -0.011124   \n",
       "\n",
       "      CO22' * CO22'  CO22' * H2O2'  CO22' * cell_tmpr2'  CO22' * cell_press2'  \\\n",
       "9      8.632440e-12   1.976676e-09        -2.579017e-08              0.000018   \n",
       "10     1.594816e-10   7.632513e-09        -1.108518e-07              0.000077   \n",
       "11     1.510982e-10   4.484356e-09        -1.078989e-07              0.000075   \n",
       "12     4.564626e-11   3.175976e-09        -5.930482e-08              0.000041   \n",
       "13     1.407783e-10   5.739019e-09        -1.041490e-07              0.000072   \n",
       "...             ...            ...                  ...                   ...   \n",
       "5249   8.383260e-13   3.258104e-10        -3.502893e-08              0.000018   \n",
       "5250   4.580890e-12   3.782570e-11        -7.751708e-08              0.000042   \n",
       "5251   3.871081e-11   3.188008e-09        -2.253402e-07              0.000088   \n",
       "5252   0.000000e+00   0.000000e+00         0.000000e+00              0.000000   \n",
       "5253   6.694421e-11   1.212890e-09        -1.528612e-09              0.000003   \n",
       "\n",
       "      H2O2' * H2O2'  H2O2' * cell_tmpr2'  H2O2' * cell_press2'  \\\n",
       "9      4.526236e-07        -5.905491e-06              0.004105   \n",
       "10     3.652789e-07        -5.305175e-06              0.003688   \n",
       "11     1.330886e-07        -3.202269e-06              0.002226   \n",
       "12     2.209781e-07        -4.126311e-06              0.002868   \n",
       "13     2.339590e-07        -4.245778e-06              0.002952   \n",
       "...             ...                  ...                   ...   \n",
       "5249   1.266243e-07        -1.361379e-05              0.007046   \n",
       "5250   3.123375e-10        -6.400804e-07              0.000350   \n",
       "5251   2.625467e-07        -1.855777e-05              0.007277   \n",
       "5252   0.000000e+00         0.000000e+00              0.000000   \n",
       "5253   3.297407e-07        -1.557889e-06              0.000029   \n",
       "\n",
       "      cell_tmpr2' * cell_tmpr2'  cell_tmpr2' * cell_press2'  \\\n",
       "9                      0.000077                   -0.053563   \n",
       "10                     0.000077                   -0.053563   \n",
       "11                     0.000077                   -0.053563   \n",
       "12                     0.000077                   -0.053563   \n",
       "13                     0.000077                   -0.053563   \n",
       "...                         ...                         ...   \n",
       "5249                   0.001464                   -0.757582   \n",
       "5250                   0.001312                   -0.717186   \n",
       "5251                   0.001312                   -0.514366   \n",
       "5252                   0.000000                    0.000000   \n",
       "5253                   0.000168                    0.013303   \n",
       "\n",
       "      cell_press2' * cell_press2'      TKE1      TKE2  \n",
       "9                       37.234632  0.961776  0.525339  \n",
       "10                      37.234632  1.249941  0.697255  \n",
       "11                      37.234632  1.133353  0.561433  \n",
       "12                      37.234632  1.787434  0.900908  \n",
       "13                      37.234632  1.472896  0.783395  \n",
       "...                           ...       ...       ...  \n",
       "5249                   392.119943  0.334958  2.241819  \n",
       "5250                   392.119943  0.444111  1.024129  \n",
       "5251                   201.697334  0.491697  1.259969  \n",
       "5252                     0.000000  0.000000  0.000000  \n",
       "5253                   296.729998  0.258449  0.252867  \n",
       "\n",
       "[5245 rows x 113 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.options.display.max_columns = None  # unlimited column display\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "94f8361a-8f44-41d7-a88c-28636d7150db",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Summary stats \n",
    "# df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c387b61-3820-45f6-9fc1-1024e6d81573",
   "metadata": {},
   "source": [
    "# Vertical velocity (Uz) is crucial for all fluxes\n",
    "### Just look at Uz1, Uz2 -- at 20Hz, and rolling means\n",
    "#### We only trust the values in common, error bars given by the difference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "7d41b80c-d1b1-4572-950d-a0f8398da36c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 67,
     "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": [
    "df[\"Uz1\"].plot()\n",
    "df[\"Uz2\"].plot()\n",
    "\n",
    "# Interesting different offsets, but a slight attack angle can cause that, boring\n",
    "# Also let's cut off the last 2 points which are zeros"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42f1d4de-55fe-4330-92e0-bc956a0d0e7b",
   "metadata": {},
   "source": [
    "# Remove means and look at Uz1', Uz2' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "394e0b28-3b94-4ef4-a6ba-700a020b18b3",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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PK70A5mzKRuZLC/D3zuOW1uNCQclYXhEh0683HoyPLUPobtneqwovAGeybcte71AhHVs+X7wz8kWhD9s9HDl9SV4Kx9kz8Tx0+gImLdyF1+dtj0mIjP6uZfI/CAUcB82ySMCJFwFrnZg5/XGXH/A4SRrzV3HibEH4s98hQl+Sxw0XAmjLbQfvz4cXRWjHbYUb8gLHyK9X4+S5Agz9dIXustTG0Nw8hzjOK1Fwgk/B/mTHZELkv+it5sAbjYDT+03kZx9nGPqRM548bZzo6E8PsZy0cByHSpySPajTWiYICTg2IhoHpU+SxYOkVD3sNJw245LWp9AfwOPfrsfM1UHD7gsFfhRZaGvxH88MfJ80FhXnPoRXvB/ju6RxGOOealn+8SaWdzdefSki4BjP4+S5AszemIWCIpW+db5Yczfzbl15x87Jo2iwEXyU/2xLDUxmv3rfKdzwwd9Yr1Mb6MChNUwsxn1eqY/RElXpRtr15m85gk2H1B8uPd1VZO/jwIeQxQZHjlgN2T+uPYTvVh/EY9+ux9n8IjR5bg66vbHQkrx58Bjp+QUAUGbbj7jR/RcA4E73b5bk72SK/AE0f34u6v7fLFNLj7YQSwdFxQz4cCnun7oG7/y+QzvxAX0aPNYVEK10aoK9qidjheP+AI+JC3Zgxe4TDLVjw+zdumnSUqzdf1r3so4ZIcLusczuHqy+TTxSery8qcsREwHngw8+QL169ZCcnIzMzEwsWaIcbXbhwoXgOC7qb+vWraJ0M2fORNOmTZGUlISmTZvihx9+UMjRGZzJE6sSR/1vDfq9+5d1BSj17hO7gn9xRtYPjs1l5l5QVqVLH8LTAu+ia/efAgAcOGndLh0/H5uHPm6hGhSOL9lxPCzYvDFvW+wqZANqLcvzPDYcPK25ZLDrWND55+yNWeK8jdy2vFxF54RGN7z8d9a/aPLcHOw6FvF2rfriVLLBEXyeufog3lqwHYM+Xq6WUwLDoxF3AK5Avi15hz/FQEZX1uA4zFt7MbYLODNmzMAjjzyCp59+GmvXrkXXrl3Rp08f7N+vvr68bds2ZGVlhf8aNIhYiC9btgyDBg3CsGHDsH79egwbNgwDBw7EihX6bRbsRHib42LgefYY8G7b4F+hjdtGGZD1ZGzzu/jTv/Yo/iZ9CIV1CQoJPNJgzYyT51UGBouJ1wY6pSEtX7AUs/vYOYVUypw+X6i+nGMGnY2ltkQ1c80hXPve3xj0sYIRph1MyAg6JyyIblejgu4nS/ag0M+rapiUchYvk0c+Cz26W4YT1dQKXOtaijm+J9Hi99vjXRXTKLZ6aV2ievPNNzF8+HDcfffdaNKkCd5++21kZGRg0qRJqudVr14daWlp4T+32x3+7e2330aPHj0wZswYNG7cGGPGjEH37t3x9ttv23w1JrD5xSNStoe+TL05cjA/15qCVk8G9izGtJX78c9edtf28RiO1IRK6fgoDTXwvGcKlic/GLzeEoRzlMPRGBG+nv5xE65/3xmRvMMCjkxv/uafAwCADfHY4aXTGFnvfTgnWFpkdnNg4InPK/Qjv4htIijMvUCwpHb8rB1aEvlyWRnq+R0AkHpslbWVkRBfzYkzBU5bBZyCggKsXr0aPXv2FB3v2bMnli5VDz/Qpk0bpKeno3v37vjzzz9Fvy1btiwqz169emnmGVdM3v/T5wtUfxfNnkKFZa0zV6iUAyuDrv6/7I8x32/EgA/ZZ6uyNjg2vI6NrpG7JFW50zM3+MEC1/08gICJaz1xNt/QdUm3mZegSa+If7MsEs7V0NE4cklZXy5lkYfXvR+iY5HJl51GbDcrfbJ98fdeSTnaGegto9AfQIuxc9HuxQW63TscOHU+/Fk4qbFbm+mEzRw8D3hQhPe8E+Fa9bn95TEsUZUaG5zjx4/D7/ejRo0aouM1atRAdra8n4f09HR8/PHHmDlzJr7//ns0atQI3bt3x+LFi8NpsrOzdeWZn5+P3Nxc0Z+dnMkrxLJdJ8S7CiQ3nWWQENJ63HzM2aTsG0PbyNh8pzt1eKd2IiUMjgVmfEcoDkA5B4GAeKboEkg4dgyMRpeo/tx6FJkvLcAT321gSi+s+7SVxrcZG6EVtxMLfI8D24XBBIUDn8Ow8AXFmtX9np9ws3sxxue9KDquu8/JFCirxbUA1vAUZjQI2Tl5KPTzOJNfJNLIKJYlKOqjRebCNejBATJNFNe7/0Y/9wp451gbX06Kah8trUtUQPRLSs3LZaNGjTBixAi0bdsWnTt3xgcffIC+ffvi9ddfN5zn+PHjkZqaGv7LyMgwcTXaDPxoOW75ZDmmLNtnLiPJwzRh9r/KSUUaHHt4/qfNhs+VDdXASdOYR9gHZPPb+B3wVjNcv++/iucJq+VXqdTqfSdxxWt/4s+t0QENhZgZFN9esB0A8F3x9nVt5D3LxoIvfa/gEtdh4H8D1BPuXggsfp2pgnonAnaiVpcAY2Onc/ZFLBfuftp38rxKSn1Ir0yvBsdJRqdmieu1LHsfeLtF1JJkBVh3r41yoaAIP6w96DhfW7YKOFWrVoXb7Y7SrBw9ejRKA6NGp06dsGNHxOgtLS1NV55jxoxBTk5O+O/AgQM6rkI/W4pV6juPMu5EYOAu92/48fztwNGtsr+LZ2/OG1BsjY2jgGwzLJwAAGh9ao7osHSJKoTaltkhn6zAvhPncefk6ICGUXUxqL9wKVWMgQDPwx/gkVO8Q8zuwbkcGO/xlOuAP14Etvxsa31kObUP2PZbsHMw+SmQcfQnk0y4Cy82qGtw4o3dfc0JY1zMqzD3qaBwM2cMMOky4JdHYlwB5XHs879249EZ6/Ho9HVx2+ggh60Cjs/nQ2ZmJubPny86Pn/+fHTp0oU5n7Vr1yI9PeLuvnPnzlF5zps3TzHPpKQkpKSkiP5KGs95v0JF5AKz5dWQ4uUwGRR63d87j6Pjywvwx9YjmnUw8zzL7cqw+0GQnVUrqFKlRsbh5CqCiXCH0G+Sbb968lHDrXenjyA5zwODP16GVuPmYY/cThZ/IfDVjcCf4w3VTS9RGtZT2hpOy3efTWwJTBsMbJ8bVRIr52T8+ZjdKaTbbkHj7Wplq0nzki62h1HYRWUH8Rdv2LFcC7n1V+DIRmD1F45ph43FPt1+33rUUct4ti9RjR49Gp9++ik+//xzbNmyBY8++ij279+PkSNHAghqV2677bZw+rfffhs//vgjduzYgc2bN2PMmDGYOXMmRo0aFU7z8MMPY968eXjllVewdetWvPLKK1iwYAEeeeQRuy/HMgx3eoXeo7RFU4uhn67Akdx83DXZXgt/OaIGdQseDE1BT+Eop/CF1f7gvqlrlOtk4sKUBC8lhKl58Phnb9Cnzw9rD0Wl/d+UD4FdvwOLJhiun1m0ZuK2LVHtX6r7LRxq24emr9VMm5VzAecL7HRsqG5kbBZxP9IPr/hFIb0Nt9mW+ZODXt6Axe12dCtQZGwXmpOWkoXYLuAMGjQIb7/9NsaNG4fWrVtj8eLFmD17NurUqQMAyMrKEvnEKSgowOOPP46WLVuia9eu+OuvvzBr1izceOON4TRdunTB9OnT8cUXX6Bly5aYPHkyZsyYgY4dO9p9OYaxzgSLpSNZ09nUXj7tOfmlMsW85OqkOALxaMdtRWUIjMEDfuDrm4Df/o+pvA7cFtQ9I/MiipMxnNFdVPtOGtMMJCMfbr/6zrsVOw4bylsJrV4nbYHfNmXhitcWympEVMuxonurZPLD2oOyXpdDg7jQn4/cM3Lg5Hl0Hv8HOr78O3N1mOTY5R8C04YARfL3Vbj5yK5o4tEoTbgix/Nt8GPkBC2BA6oAwCIt5+YfgQ86ApP7AQAenr4Wd36xUnQfOZWyhAJOqVmiCnH//fdj7969yM/Px+rVq3H55ZeHf5s8eTIWLlwY/v6f//wHO3fuxIULF3Dy5EksWbIE11xzTVSeN998M7Zu3YqCggJs2bJFJACVRrQ1OPp63YaDp9F63Hx8vTyyjCDs3NN8L+nKT27np1KNvvc9j++SxmFJ0sORg/uWAjsXACvU/SdxHIdk5OObpBdxz+4HgQKJAZ7CyBjt6M86zDj6O5IrP6Pae/wcrnztz/BOqbxCf9jQ3osibE2+E2/vuw6chaK11azdfwr7T57HT+usFbSYURiJH52xHk98uz46ueSV9umS3ej48u9Ry39LdwW355/JUxfcpNuhZ2/MwgMqmkDMeRLYNgvY+I3CLqrIMTf8uMy1EeUQ9MadV+jHzqPBQIl6hQORNodXnq3zCp/3noi0jz/A45Hpa3H75yvFZehdoVP6ocheWz+WpgsEeKzcc1K/Bm//CuCtFobqZZo1Xwb/P7gShf4Aflp3GH9uOya/tC2Dg2QaERSLygbqc4fwkfdNNOP2ho/xBlz1y2o9GEYnPTY4QoQGtaO/WY+cC4V45seNwK+jw8a5ITycPS/Ottx2tHUFt6OX4wQvdx3R18tCcF6Ul9dI6zzhmY5+rmhfPkZnIOsPnMagj5ZhYwycvT370ybsPXEeY77fiAMnz6Pxs3Pw6Ix1AIB0LuiB2ccXwCuIWO6EWa+QUDObsKNW5eiZvGCsoZ0LgHfaBIVkJSSN85uKS4YQL83agqNn8vHSr8q7G9XoKwnVcv/UNZglY8uVV+hHx5cXRA4UnIOskbHg0IAL3+Jr33h85QvaVw36aBmufnMx5m7Wvi4tlGxwlPqXxxV5zew/eR4/rjuMRduPmXpO5DRnA9wLkfFBPdzgUg4FZBaWZ+jzv/dg4EfLMOyzoBDHtHzD88DnPYGc2Lp20EJacxYNjpMgAccGvvKNRy/3KnzvU3YSZ/WYbsWuhf8J/KaEdoVcwh0CVn0GLBxvShUqH2wzOr8qnNhH0QG17a7njgM/PhCc+QjLYqzIA56f8Z7vXbXUurj5w6VYseckBn4kFpp4WG8sm18YETAnL90LAPhRpyYkFuEjhPddSXDUa2fEwqq9J9Hhv7/jts9XBJc2T+4Oq98BAEf0uzxQqqXUmF39JRj5cQuDA8M5m7LR7fWFipo8+ZyBq/ODAlFoshCKmv3tKv07SFUvR9vvG7zuSKKT5yLLa3tOnJNNb5TXvB8DAN7yqWt57SakVV297xT7SXutiUt49EweZvyz37LQQML7kp2bp9gXSMApRdQs9nWRxGmrKNWMWDcdYndIaNTIWMhyQbTfnAvBgSgZ6nYc7LBVKmoZQCWeFGY9Bqz7OjjzCZWidfE2qjEKi53mXJC5p0qlztmUjT4Tl2DHkTOGy3ULnRSCfbCRpuN5HqO/WYf3/mCIdC2B5wEfpzWoyr8N/Tbck6+Kl1b/3imIJ8YL6rfrdwNGxvb1nc2H5Z/1kV+vRlaOzLKLoO57jp/DsM9WhIPExgvRJEvwUejq4IzAT4qpyNwMQrEZJ6EsLNlxzPC5x85IBNZcY8u0PHjRRGXAh8vw5MyNeGmWMa2iGusPKGvcOIXP8YYEnDgRGizVvHCmpSbLHGVZ/zY2cAhtT6yeVcuHajDJMSWfQGp7QJR2Uck7+rMO+VxHfr0aW7Jy8fD0dYZzdjN4YQ4aCIqZ6PtA9P2fvafw/ZpDeH1e0LnggZPnw/YkWlQ8v5exttGcNzjbvNf9CzB1YHC7uwTr+q/+/URatjdyCDUbbETqcs9Xq7Fkx3Es3x1xIqgz2kEUSsJB8HUqL8hI04U/Cx7+IjXPmSUA4XXd8UXE/9X5giIs2n6MOTDsOIPLmlH1kTTnvhNBjfeCLdpuP1jyFHYD9aVkrd2r8YEEnBihtBygpqbWM0SLtkeb6GG/bzmCpbuOw2PQMOL0+QIM+2wFflgr9rzLUqUz+UWK7STrSC0g/yIR5SFtjHjsouK1RU65XTshkqG+PMHqK2e7hpZIahTZ9dU/MeQTNs1A9TP6B+zQi1Jv7KEQY7zTgB1zgc0/yOTNUoFIKmVPxPps3hpx+1H+RLSBsrVwmg95tYC8dkHxtKz1yPnuQVSBul0Mc7BNQbqA4JETmOM4ziaMBaU63z91DW7/fCUm/BY96ZLri8fOxN7xqRHEwg6naYNTE8dxzc4X0FRgfxpPSMCJE0zuzmUPMmhwDA4cx87mY/iXqzDkkxVhtbKanYZLZofOxN93YMmO43h0hvYgL30vv/jrv7LtcjQ3D6OmrY06npcf/eLXVEsrNY7gNL1LJu9538F73olQexkatXdpx23F1uQ7McYzVSVv5S2aoXLP5BXhzi+0PS7LsXb/ac00AYWhRLQ7jUPQaD30PXSu2Ted3M4Znc2tJGAKNVhKWQqrPzfp/3DL+jtQEcaXHM3iQRHDcqGEjy5H6qYpmOD9lCGx8K2nmUJ0f4WaUrV+qwVLcjs0se6CXPzkewbD3bNExxduCwqUU1doO68EnBWQkpdMwJSmY6quB4r//8A3ES2Oz8bspKcsq58ZSMCJEcrzQ2umMVqxX/KKtMsRRiwPLXsIBQ5pDi253VE2REI1ubh+0eWzPuIhZ3VSTpxhicHCtkQlRKhG1xJMyiAP/dzL0c+9AnU4ebUwD20/OEqDxxjvNADAvZ5Z8gkAbBDsRuHAyQqJmw4Z37EiFUAOn76A53/aJNlCqrCkIanK18ujd4kke92KZXPgUQ2nNaT26LKZXiAirad8/mN/2SKqi0aG4U/VOLt30inXxQvjDgYbctFGyNK2YRH0zhcU4beNWTiXXyReLhOcXD7JK3uuk6m15VO0cu3Gs17lCYcx4tcAt32+EmsEBtFK98LFoMFpyLHGzIsNJODECdaX+6Oeb/G+923BEW1VulwH7TMxEo196a7jeGT62qh1f72zCg48JkpCMCgtucnV2qwRoNwLJ8CwHKRFpbI+Q+f5VF4sRjU4F3jtulzRsFrkS5QGJ0jOBeOxkqT96Z6vVuHLZftEu8VYvCBIk4TuX5N05dApfdwr8U/y/cAvD6lkLCPg2DBB1vL/ojYZsBwViUDa14TbsaVn+QM8PpMx5Bc5eJMGNlYoV2hL9cS3G3Df1DV4ZMY6sYAk+JiWImdjGM2R3Dz8tO4QChmijEt5c942XPX6wnA8NrO4/PqXluKxw0jPWL5kx3EmZ5tqVguha3TabioScBzOw54f0NcdcYoV4HnZ2abWDOiEQJgZ8skK/LjucNh/R0PuAIa7Z8ML4Q6H4v9VjG95cFi0jW0nQaxmaFNlNAR6K6Ln5ciSlOXas3LyZLfEF8GjeW65JOU0ofqxXBOrljG0u0+8E8S4RKFWt2tCfX/NFJUMIsPYpkM52JqdG9MFgNDzKDZHjt8ShPQlU3bRC+jrWg4AOHVePKn5dtUBvChj8KpkFsVD+U4Ld+4sK96ROf/fIyINoMj4mPFl2PvtxXh4+jp8vDi4ISOv0C/SNqvxzh87sfv4OXz+d7QQp8Vb87dj+kpn+aWRYse4evj0BdnjQQ2OPM5ZcBNDAk6MkBrXs0i6cp1m/cEc3PrZiqjjRmxwDpwKvlDnJT2JZ71f4/r8SHRnVrsIMzNlOx6KKcv2ig+wXocFZavdU60lqoKiALq++mfUTErv+GXqOhQKMzBxZipEzoaLKYeoegavOjevEP3e/Qu9317C1m4m4nzJ/x4jKZ6T2xOnTP0dn+F93zsAgvZUwgnSvzo0ruHiFX49eOoCXAjADfGytVBYKhQu/zJewqli7csfW48CAC6d8Afe+WMn28nFFAUCmLn6IMb98i/T9vR/D+di4u878H/fbxD/oLFJIdZhCsxqrOXaYsoyeTsijuMUtdQc5yzNTQgScEoYgUBA7NtDBh48DilI4aK8JH2ykV+w3MTQX/V0aVMPoeLWbgkF59Cc2wWXxGTOTpiMxXm1ea+YKP8YwnwunFaog+AzZ735Iouwy6Kx4DigAiL9sjp32ky1BBkHh7ETZyOzer2Gy3K1L/QHRPdXcYmKj/7dVg0Oz0dJB/W5QyiP88X1UGfRdm2tqzHDbx7zfP/BQt9okfAqzOv7NQdlj7MQSn+CcUu9UNjgeeCxb9fj87/3hA2C1ci5UIhrXUuxJuleYO/f4eMZ2yarlxljXUYsbZc4DnjJ+4X8b7REVbqJHvCCHUEt1oes3YrGIBv6fMvHyyXnRaM2wMj9chEnHhi8KGKescjOmqweCyb3xY/eZ3Cze7F2WhXiafCoVnQge1PM6qGfOCqpiwUcYR9j8oOjcaN/WS92vhbKsRG3HzgfMabnw4O7cdrWrmj43Bbcbvye9ASWJD1SXA/161q8I7IzTKkJ1LQcSvmXxwVc4jqMDNcx1IC80aowUGn5w38Di14V7yNXQe12iQLzFiOcwAlPlS7TyZYFHu/43kNl7iwwdQBT/ZRgeemremxXQWkMZx+X2cuyK6SKnZCAE2e2HzmrK73iDgaJgeN+hgdGuv1XZEMg0/NbuMTr2N8ljYvJjEV+X5AMh9cCAAa4F0WOGZBW9Ch9k8BmvMgaTVza7kLBWMlfjDhQqOQ3C2ZULH5qeBbPspLahepmWqCUKduKwfhsflFUezbh9mFu0v8Br9aLroZODU4jLmLf0axmqs7aRcrq7g4G6KzEsY0lSR7tYZ9d8JG30ROmOpxzQfZ4gzlDgT//C2z+XrM+8mVHSOWiJ4p+Qb/V3cd4xS+aGNk88db8bbrPASxwsSCDkZAqTtPchCABJ04YHX+VokOLNTgGO5vI8Vn0z/3dy6MPmkCPcKSnvdQftujffpd4/VTY9AEg6GNkrGcyerhWAQBucGsH9uNhzZIFz+Ck0I5hJsADczdnY+UeeRcAesqtzp2KOmbGZb9SHeyIb8WBRxeXOIbVne7f8NT+e1AZubp3UT3n+Sr8ORRaghleWZjSetkIHUMqCfMiw2BDk4RIGUKtjaxx8Km9jHnGjiU72Tx4G4W1e77/507sP6E8WQ3w5sYWPvy/8tQ5hFopHEOaeEACjoOR6ywuhcdc7aUczEufHQWrFsOMKjR07rEz+bI7UZQYMWUVfpOJuhzOV1yyZn7Dv1zFPOsa5F6IOzzz8InvTQBAGUGsLmEbnzxXgPG/bcHOo/o0dKqimUCVb5X/JBb2nTyHe79aHRVElAVpLe/3/GRNpQT8sjEbHy3aJTrGdDs5JZ2DIEmUPZc43fPer9DMtQ+jPD+KhDf7d1GpLSFpILFNkUNNaaf0fLGMMcfPGo9tt8FM9HGdz8ukhbu0E8lg9dLQa3O3od+7ypMoxSUquYOn9wMrPwEKogUmpk0vJVCDo70HlbCEaMWudodI5qMNhZV9cZhQxxaTXxTZ/WC15nPviWgVMgfgh7UH8eiM9bijS13Fcwv8ftFVz//3COb/ewTLkgxUhMlgVpk0TqzFUBI4n5y5AfP/PYLP/9qDMX2a6FiiUvstgF3HzqK8ZFu40tKPXpReAkrbRsVoz5U4DuAF6cJLVEy1U+a3TUcwe8NWdG9SQ1ia9oksLgMYZ7BJKMRvvjHaZVoBZ/J+MyRX8oPDWpJeAc+swK7ZBprZ2/eCNivq5qrENtMV5mTSZUB+DnByN9B7PAB57ZxwPDkl8B+k7smYRzWcQhJnjb8hqyANjoMZVPBD1LHa3FHZtOJ+auxhzSsUaAjCWag/nqwP78FT4pdkGeShvP80Xp69Fde6lmLwqkGox8lrZd6cv13XICHafmxEva7jHKWBNWTfFNoWyz7gK5edc74Q3d9YhI4v/658dpTXWfZrMTKbD5/L4uiPE5cROoXnga+W7cUNH/zN7N9E2E6Rto3FLFL+QnkA5bk8wffodKyBGJlQ6aN6PBkr5aKU/Vvzt0v6lLYWzHgtIiShAP/xTAcOrNRMq7eEh90z8VfSw8BZ+bHVDqTCglEhSM1f0ZBPluP2z1dGxoT8Yg3Yrj+Z6/aXwCBdK1TDNN9/tSscY0jAiRn6Z12pMjsDUjlt42Geh2bQPC3sMF4Tsi7pXjy/9Vqk8rl4x/ceGrsO4FXvR7JpD5xk0SDIsyUrBz+tO6TrHNkrP38SmNwPN7j/Eh1m8f/AbJ+CUzh75rTk3Ei/OXRK4d7bsBrC67TBmLWBLXqxkqD37E+bsXb/aby9YIfs71KEmrOQdkw42FthgsPzQFtXpD6czBJVOC3Dwui4XzfLHLWer3zjLc1PeP+X7FC2TTEj6mjZ493r/hX3e34GPuuhM+fi+qj04Ue9M1GLOw683kD+XB3lME9jLBpela7rSG4elu46gUXbj6kG8tVTDTW7tg6uLbjEdVjx93hBS1QJgtQGpzwnFgr0qrGZBRyDb5KQKrMJH1nrLqsSNVurNpsO5aC5zPERU1bhIF8NF1Usg3Z1KyvmJN5BJpNg4QRg7xLUklxuH1dkRqnWEloanGo4hZXJDyDwlQvA1wp52Ch0BsTO2YSqaWlIDzkuFAUAhggXwqW6yBJV5LpYNThCLV2obaWuEjThhHWJZsmOY/hU4PdD7RmKFnCic/x6+X608UYdNo20pGYudYNlkVURL/2Ni0oTVR6TUzdrpe4GLvUYR1rjm9NjXdmn+5JLI3dE/lkQDu9ulbH+evdShprEHtLgxAmlrvLVsr244rWgR1s9ziGlLz+zRl96lnbNYNUw2O/diGZFbDcRfBHuPHoWB06exxmV9ewQsi/ZC6eijwFopDjwihuQ11jDaesKemZV8+6rdE+3Z0ciV/Mq6VTZ8I3oq9IWW2F0bSPIvfiFDvoOn2aL9SPU4EReyqJXt7EKCtgn2b2iLsCKGeReaLp8VUS7qNjhEDC9a02pHQyPOby28G52nDDbGwIB+RA5QrwowmVYi5yc05r5WbdExcs+UyK7KVW7PvayYu2l2QpIwIkRrDYYz/60GftOnEez5+caNxY1Ps4kBBe7ssOfha3+8PS1KFCIOyB8eId/ucrS+vA8j0IoR8xWPVf4RaJlCfGpTLBE3ZzepxiRPvSpObcb93+yQPZ0Jk/GCj1a2PZFDE7feIgFwZBWSL+vE41Zv56sJNf/oOdHzXPMTUL0n/ukZxrWJI1EOif0hK6w5MbamAquC/QZGds/8ohsvwy8qHtPXIy7Jv+jmub/PNPwkWsCXg+8rr8ADTYq7CDzK/nGEn6RJpE1LBZMCg34wXEqJODECau31Un94Ei7om1d00Ldr+xMxGC8osj5oWUQYP/JC7ZuZ1TL+yzKmM5fq+ZXutah809d0dkVHTxRO3Opxkn8cztuK35NegbLk0bpzjqT24axnslI4s+LdlGFrkhof8Fk0Mzz8hoci2+tdJlWzxKV7Qh3OTGecp/nF1TizuIO/0zFNNVkwmeoulA4EvGurdY+97p/wUTve6afZ6OELiGT24bUvXN1nRvgeWw/chZ/aoR4uNUdFP6vcIvjV1kx5tzyibwPsq8Vggu7RDvfJOUfV3cqyImWbgWfS558QwJOrDCoizGU0vAyhakaGEProeno2qr4W7pgy3aygv3OKPePAOxZg2/LbWdOGzD4qJXxCjQ/Ghcx2fcqks9ny8aLMeJdNXIucKV7PQAgWec20AMnz2Nm0gu4wzMP/Y9/Jtsvz+YLotgD+GbVAdU8pRqckHAhXlrUd72yzwvPkMYEYqEoPvpTaZcqx0meI38R+u0ai1vcwp17+g3rx3in4Tr3Ulzh2iCbXki+7G6z6DJTcA63uufLhmmQEmrpmUkv4Kr1o1GHy1ZNbwz77qGSofCCLQrG/Vq+joqC91mPXV+s42xZAQk4cYKlqzQJKL1AZYzERLteFM7SVMnr78BWP9IZkm3wHsgvy0hRevkM8AjjUum/QrUtyNU45Z1qSsabyuXIc6FQcP0mpDSWJQcl49Pdx86J6n8RjuG/ns9Qn9Penfbq3MhssXrBQVljxud+iuwuOpdfhP98p/ES5OUFHGEQyVkbGHZ0iGaq2qaYajIia88SGXAWl9CY248VSQ9gkPtP2XNqpMg5fBJqcPT1C5FDT6WxIvTh3x/R8sQcjPd+ppkvSwskQ8a+jedFL8+vlu2VyTu6om94P8RL3i/wue9V3W1Qk1MPWGwE4yYFvKlo3HKuQzRFZ5WQMIo2ViVPviEBx8k0CMjbVlyEaENPsQaHl33Y7DActno7+TPeqaLvrIOGtgChnE9dLsuWh/ciHMOt7vlwFeVZJAjK+SlSx+igq3ZfP/G9iaGe3zHH93+R+kjShGwDxA7jxOlCdRPO2PMKtQVaHrzsNnFh3mrO0SIZ2bu8KmLzD3jL+z6SZF7wb3gnoQZ3Gq94P5E9tVuj6jIF6l+iCp8qOONsfhFGe76JThPKPu901G9KfcpMNHXh85mVw2Zo3sO9GgDQ2rVbM20sXs5GizDbDe/xzIo6Jlqiki0g9HyaK9vp0DbxOGFG3e3logdvXizhyJYX7Oj6HsMaMrGDrERYm4qMwQKNwPPKD/PCpMewPMsLoKqlZf6W9H9I4S5g867zaFa8S0ovIs3Jvh8B3IEqyIGLT7GmkoKSzhdE+lVIJe6GHykQe6FuWrwN2cv5g47XMjpE5dbs+Tm4+7KLJUfFfa8Cdx7f+F7AL/7O+MrfE494vgNfWBkTcZV6TXmFXVS2j9bi/IXLHJolf3sHbpDYmYfqzaqlVMLMWDJrYxbeT/5RZ3mEPqwzZre+9CBODbVgFtLgxAjpjCZZutatA7esoR6PAe6FeNIzTXag7+TaoqnBkdaxDpeNL3yvGa4nC0J/K7U441uQWZeAlB7kenumaxSgfwBIKfZF1OzgDM20LDPetEPz0JA7gNXJ9+Gp7Id110e9Ajye+TFiMDprQ9Cr9E++Z7E2eSQu5hSWfBbL7xjJKwzgvT93imx//AHxlta+7pXo4NqGF72TUZfLwiOe7/Fo0afaVYX8M2BGvhG2/uWu9SiDPFkjY2G6RUmjBXVSuX9+dW2S1stFXvsQvxeSUsk3tK5p8Fzpckk0Wk+H1u9qzu6swswSldW4tGxwVChbZP3yXbwgAcdmHnD/iO99z6GsRKB5xjNV4QxtlAb317wf4z7PLyh/bE3Uw9bUtVeXQRkAXOlab7iOVuHsmYXyLhu7an1jsSfl1i59wQALFbbHCxH6CGpxUSoAoLlrL4CgMKKO/CtGOHgfP6ss1JcD27JEpDTjNihh1nwpe3iK7xV85H0r6sWg9hJVjTW2OtroWwlFQVIKb/z6WVKrpVG60mRvdJwxpzBtpbrhulHyCv0Y/9sWACYEHBPnKsFJdlHl5kk2B6jY4Fy/8zlBPoqnlAhoicpmnvAG17fTJUEar3atNpynnIAjnKG4C6KNXzno76B+BvmX12nYU5s7oitWjmVoXLyiXYFqBF214uwaDfTlG7quXceig52qUbk8g1tilvJFA61UB2IMXmJkbDjHDRHNmvT+X+7eqGtCoHpd++WjsIfKFJ75R9LjsimFzN9yBHn5h9Bf9ldtWO6BXP+tiDM4jQpRbZVX6Eey142AxCdOC243ziMJu/iLdNYwGk0tl40CldKjnIx8fLpkNz5atLu4DvJotbYdQ4Xo/vHA8Mn/4FvGsmvnrrG+QnGCNDgxwgexBG1mmJebLT72jUDbwkfnz4HXbRBstW+Py1wbsTjpUfye9ISoXrFCraTqx5bBIyN4JXvZHfSxbIGNNUrRzksyPHiRkG9VVHIt1PqqGTsavUtUi7Yfx0uztgiO2HnlkcLXJd+LW93zo1I0fnZOMJyHYHypyuXgl6RnRM86K3LDVKztfi6qGPFbpRQk9X7PT6KJg8vgTihbQ7Ag2Dv+2WuvLaVi2XFW+5CAEyOMCAsr3Jmyx0M+VU6dK0BWTtDO44QgXpCSylOrr13jWiH6zqLB0TP9+NpAEECrBjaWWnZybYk6xgHIyrmAnce0DaCf9GrY8RjArAB4j+dXw+eWZVo2CgkX8ndKelTpavRep3hbbfCzmR19LM+LWh3v9vymmrscZiYQlizRGeAl7xfI4MQO74a4f0fgk6uRXHg6fOwigT2dOPyIzDWr3beDqzHcPVs1hIka6TiBlz2foCGnb4lqUPsMzTR1uKOWjE92ywDy+YeeW/XCT5/X5/dKSv/3/tJOZCMk4MQIaTcSSvu5eYX47K89OJIrfqEoreuHzmzz4nx0Hv8Hci4Uyv4uhIP2C8DLiWehTEtUmim0zrdGhGEJtnfyXIGhl8HAj5Zh8+FoZ2JWvljY/ajIl6kkjNzpnmOsPjzYvBYruOq3jXnP4qqVI5AEcwMvC3pscORoxanvnIssUWktv6gfs2OJSo3rJIEVX/Z+hqqn16Pbkcmy6W9wRV5y1SrI+fRR4dOr8Kz3a/R0qy/pK7Xh+76JGOL5E7/6ntJVrEumiaRemF0IGJ6BFRQFcPvnK/HJYu0t7mZRHPf3LIHrQLSHZGFbfv73HlNlbzqk7YTRTsgGJ2YoPwljZm7ErI1Zsg6u5JAOUHuPn5P8LvfA87r94AR4bQHH7Es+VrPP5bu1dwYoOXs7cPICOG/0b+qu+2PLg54fZI8Ll3K6uDbJpgkSXeMU7rxMOulp7FfazrUd+/0yPl1YWfERsPQdpAPo64rMsMOuGIurcpt7LjgAX/p7oTrYVPMsHppbczvDvldY+CnpOQAPm3bCEg8Ha0a0Ct5ARMgWPhv1XRHD6UplvYCyf0xd+HkObo1loaZc0KWBTzJ50zPuhFJO8U4QHWfd9SlX1qp9wX65aPsxDO1Um7kuRpC90rxc4Mt+SAbgxRRby48nJODECLVZ05/bgp4o90qiFxueacnY4ADAjiNn0K5uZT3ZaKcRjIQBA54EWY0Hzc46NxQHqytpPjySvW6waOdrc/Iu24U2OP/zvWxVtQTwwKaZeNv7vmbKFO48431U6BO//Sf8MZmLLMkK+1B5nMc4b3B31A/+y5DK6TOuVuMt3yTL8gIifVrtGUjBWVlpw+4lKiN2IcI4Y0p3WSk0p/gS2coOtp+11378bD44QBKPKUhXt3iC0Ma1E7du0g75wKJdthrRAq5cAQIHjnK2h/J5ljx7PlqiihFq20jNvnTLH/4Lv/meFByRHxB/Wc+4BbUYvfGTjHT/G91LmHKN5y4K5TKtQ6n2Pre4FL1lGm8XHed9dxcqKThpdHH6l7BY6uySecF7i86hMncmfNxncreedQaSSvZJ2vlvSL4H1x6M9jWkJOBUZVCP6Jos6FAfaS2pA4A7YN0OSpbwAnpp99ICZL60gMmtAgCcK9A2Lm9R7GpBCdXNDziFVJhzgKrVjVnbriRuEycBJwGo/9tQNHFFjOiCkV3EvZED8OWyffhWI5ChkFj055AKWYmPvW9aUo7Zl5VuXyM2NZ6ym3yl9DajcaE3VWSzMRDW82IuSzP9la51onM5BPD0hh5YnPSo4Li5OacdoU3k0OpbHU78BLWnUdh2q5Lv0yyvuWuPpgG5kf4bgLYfnNE54+FDITI5cURrq/2teFGEZtweledCvZDzAsHFym5wCXcQV7nE27CnqJgmrEx+AOuT77GwBqULEnBiRJpKyAMzkZ7l4PnoBzi0C+EJrUCGwnwYuofmiz//LPC/QRjgXqhQhvq1h9bOtdJpteDhcHwb64arWGiNpIIZSxwgIcy7Twy/VdTP65Kh06gUYNpa3Fgg0HPgTWtr5IiVSp7l6Rfe32tcK0QCgd5+2MG1DV/6gvYk17ms2+UifEaF/e4Bz8+idE24fSK7HKN9T+2sd73vYlbS00hisK2SQ9y+1rEg6T/43Pc6WgsM0F+dsw3lccHCUsTIGhlvU9v1J08JVOCQDY4TUHqA1F7qairU+f8egRWyK5sNjkaCP18Gts/Ba16lMrSHj3vcv2AzX5ehNub4qnjQb5Q32fayWIn2Z6T3fNZhSZyO+Z2jM0K90v02YyvTzLUX3QQaHauIlUqe5R4JW62L+19k+rcppmWhvWs7GnIHMNH3gXx5Bt7qwnv7kvcLxXR+uETXc+j0eUNtLV6iEmfQ2/2P/gyFedt875u69mGd/5Lw9+e9X1mav8jPn9y1/P5C+KPTvE5bCWlwnIDCYKLW8bZln1H87d+sXFMvxl6uf1CfO8QkfGg+HMu1jU+1eMo7DcmiKMz6djTp5VrRNljlNjjEWxucUw7pVelfomJsF5tGdFZ7jwpg2LGlwCOe7zHE80fU8VTurGVuCEyhIC2E6ib1KyObheQ+XuVep/gbKxep7ALiDLVbpB7VOGVbIKlt38w1B5G093fc5p7LXBKHAJJkgg6zksntwAPuHxU1nEY2TOjBLqEiBedwr/sXVCqMbDow4x9KiN5l/jI6w6/YQUwEnA8++AD16tVDcnIyMjMzsWSJsmHp999/jx49eqBatWpISUlB586dMXeuuONPnjwZHMdF/eXlxb9BjSCMASTEXLdkW9qQ0tm1GR/53sLvSU+ox9cJl6KUL8+0NZsVq15TLPkIvdKWLTypeF4RlL0c6x0MzPrBUTqutY1WWAPlb+znRf+qZ0eMtdykacCujlWvoLP58oaooXtmxAOu3XNuQ6vmjH1ezr9W+q/DMM77pabvoBA9TIS6AYDR3u/whPcbDHQvlP3dbvurm92LGR1p6uO/3s8wxjsN3yc9Hz5mlYCjl99lw47EFtsFnBkzZuCRRx7B008/jbVr16Jr167o06cP9u/fL5t+8eLF6NGjB2bPno3Vq1ejW7du6N+/P9auXStKl5KSgqysLNFfcnKy3ZcTY5R3X+Re0Le2zCrgNOX2hj+z7KLacTSytBB6qbfltmN10kjM+FQ7Ejnro8cibFmFNLxBFeSgnzvaIVYsYBWUTM8IjQ6CAXUbH+lKaiw1Ko7Q3gCY+6/2VmItpPdXbXmGFTPhJeQxJuAI71IadyrcFdW0KGoaIj3UVwhuKhQKWK6qnE4bmjaunfiv9zMdZ7C17WXFvq6ENp/DPlupev5r3o9whdv6MDM1JfEX44HtAs6bb76J4cOH4+6770aTJk3w9ttvIyMjA5MmyfuUePvtt/Gf//wH7du3R4MGDfDyyy+jQYMG+OWXX0TpOI5DWlqa6K80cedk5TVmuV1U7ESGG5Yc5Mr5yPcmqnBnLPUbojWgs14vS7rq3GnR97auHYbzshr7yjSY7z51I1Xp7DGWLWa2rHjH0REiF1tO7rMe5IL2apesAutqqEaePHgczc1Dh5cXKKaRLi1Z/VwI+y1LC0zzvaS7jP4u+SCscpi5vqycPNXzr3GvjDrmlhF+HfQ4MGOrgFNQUIDVq1ejZ8+eouM9e/bE0qVLFc4SEwgEcObMGVSuLHZQd/bsWdSpUwe1atVCv379ojQ8QvLz85Gbmyv6cwJ/JT2EWirr72oDQb5CALgQRueuwjLv9LCviQvRE+DR6Cy7PndI9L0Sp2yTpBepS/YyyNedh56x4FrX3xjujuxqcCGg6PtCrw0OM+eOi14aVg1mfkk+VmlVVgUaMqUzU543UKCdSKv8z3qjHqeswWnG7WHKR+0FZYeeytjOTrZO85znKzTRcA/xwcJdOH5Wuf2lY4zRNlBqV73LOi1dbPfRKGbvsd7zB7kXmizRGdgq4Bw/fhx+vx81atQQHa9Roways9nUtm+88QbOnTuHgQMHho81btwYkydPxs8//4xp06YhOTkZl156KXbskJ9pjx8/HqmpqeG/jAztQGqxoBZ3HP/n+Z8teUf7wWG1hYggF3xSq5xY0VzyYvBaqG6XDp5KeVt17e/43sel7s3h79N9L2J98j2ox2Uh2pZKCZN1WTcV030vmstDhgBvzzLRBd7HlE7Lz5Iaz/AfGj43BHdgGdq6lO1KvvWNY8vHhiUq9fKMnMPmkuAK9wbc4ZknOC+6/n4NI5ho7ZPVGhy7chbTltvO9A6IdUicDO6oqfKcQky2iUtnAzzPM80Qpk2bhrFjx+Knn35C9eqRGDadOnVCp06dwt8vvfRStG3bFu+++y7eeeedqHzGjBmD0aNHh7/n5uY6RshhUxPrh7VDt+W2i76bmfHy4f/Z82Ctp3AXlVzuXV0bLStPKuB4OCUBRwVeK4EyHVzBLcATvJ8gwJeVlGlsoKtaPglarmJC5VqJ9EXV22Vu+24I1nZ42PO94TL68osNn8tKWU6/dhCw377ITiNj1SyK//dr5CVdopqV9LSO3LXJzhHG1bIHDjy+TxrLnNZsWXpwiv2aWWzV4FStWhVutztKW3P06NEorY6UGTNmYPjw4fjmm29w9dVXq6Z1uVxo3769ogYnKSkJKSkpor+SjFbX4yGnwpXv4NN8/5Wca75j2zGjnOSbKPourecLxfGHrEDadnYJoVp0dG1FgDFat3qb8+hYjz0GGWCd/Ym09hku7S3RLLBFtDJji+Ys1DSyVi/PGMe6/OzYpq3HV9IfW+3XYOi5b0bucV9XZGNEYogr+rFVwPH5fMjMzMT8+fNFx+fPn48uXboonjdt2jTccccd+N///oe+fftqlsPzPNatW4f09HTTdY4PPG51z7dUmyIXqkEOqadPvbuVMl3btROp4MyZgrjtKkLevicmL09JEXrsm0JM9r7KvF3bSpKRjyputt0lemvH0vZWCKbbArVM52EFqktUBraZa5dnAIPViLo2Hvh7l3qkbiNFqfn9sbosqzEy1rzvi6xm6NfgRBOv7eZmsH2JavTo0Rg2bBjatWuHzp074+OPP8b+/fsxcuRIAMHlo0OHDmHKlGDI9mnTpuG2227DxIkT0alTp7D2p0yZMkhNTQUAvPDCC+jUqRMaNGiA3NxcvPPOO1i3bh3ef9+8U7l4cKVrXdjzZ9282NjkKKFX4EiFcJu4sTz0YrdgIRUi/uP9Ji710FOmWotf6V6PGXEYm9Ym3YsyO80b6srB0sPu8/yCXQFzk545gQ5o5DpoKg8l9IQRkF5vBcG2ZFtscAysUVlRj7pcNk4COHDyAtRFi/jUL17EeonqAc/P2BaojZ8DEUVEMl/y/MzZvk180KBBePvttzFu3Di0bt0aixcvxuzZs1GnTh0AQFZWlsgnzkcffYSioiI88MADSE9PD/89/PDD4TSnT5/GPffcgyZNmqBnz544dOgQFi9ejA4dOth9ObZwiYIvBqOCwhTfK4bX9mONEzU4zPGbVLBqKI3ORz5nLW2F3smXFfUvw9kj3ADsUcrNhICwm+YCn1NaSF9QVSzwA9NRZRNBwxoVDORovtc85Z0GALiiYTXUVdl9ZmTcMKL9tBM9Dh7jIZy943sv/PkO9xzMOT845nUwS0yMjO+//37cf//9sr9NnjxZ9H3hwoWa+b311lt46623LKhZ/Ekt44XrnL4XaifXv9jhV1ed3+GeI/pulwbHLMaFCWP1ZAtsaJ6z+UWADX4n5erWzbUWV7rXq56nd4lq1d6T6KSdLG50dG1lShcv+ymrUd8mbuzlJ9zJJKV25WLjdj2aHINLGHIlcJz1Aom8/6ySQaw1OFLGeqeYOj9eUCwqq9H5kKeU8ep+yF70TtZMU1niF0ZaRj/XMjzg/jHqvFgLOA1dh7QTSbB7NnOnRDi0k0rQ8smkbSz+hY/BY7TOJnt9njnbKqdgvq/Y2df0zOClZ9r3nA51L8DZPCPat9hpGYyUJCcw+WAs2nisMe8Hx1naq1hBAo7V7F6oK3k5n1ux85npklqePt/zvYsnZGxLPFp7iSXc4o4EOQxpCcrrdFseS5i2iTOqjq0YNJ7TiiIsKUI60LXgdjOVUzqHt/jPfK0iln5w/uv9HP/Mnar7PCvrwWnkZ0TAk/PTM8wj7y25fd1Kou99XCt0l2clRtu2Mbcfzbg9pgQk1jHGiZCAYzUnd+k+RTizuMK1Hp1c/5quhtw28Ro4iXbcVtVloXE6t1tf7o72P5Osw3jSKHoe9y+9EzDAvRApOGupXYgVA3rQmR97GdLvrDYmtm2AaKS9yzGelJQlCC0qc8qaPjuusQFnwLDa8BKVXid0R2y3wZHuUn/cI7/RAACax0AAYK27tC3nJP0fZiU9bWrS+ZPvWcPnxpuY2OCUKgw95JFzvvS9AgDokz8eZoYuOduDFcmjAAAfFVn7Ujp9vgAPTV+HgQ3d6OZaa2necuhtlSvcG3CFewMu4fQvh+mlr2s55gTaw68SaVwIi08jcXrxEbWI5uo5WZTek6QzX3ku4qyLPC/EvAbHGSxMekzxN7s8GfsDPPxFAbD5jLYOng/u4lISYoa6f0cWX0V3vixCght++OGO2hItFwEdCAbZ/DXpGd110QvrPa6oMOGpLgi+qRcj0e6dAmlw4oycUz4AaOEyNyuQRtsVPiBWxxl5c/52LN5+DNfM785kDxIv7vXMsjQ/ueH3fd87uMPNHsNLa+CSysvSwcbPsz3CHj/bFs8KOM9UrwjWDH7Xuf+2JB8pTllispqtgYgndjuu8QnvN7j3rWl47ufN2omLqRCwJsJ3aKlbeene2BWzCDj3un8NliFIWo7LVxRwKirEjLMec/e4DOzb0ehkSMCJN7z8g1ytDIcr/GwBSeWQRsQWoiTlG+XEueDDU5IlfSOM9Pwie9xKLZYnKg4W28xSSovzy7UTAXjKE7S9YFWJ5xVas0vJrp5jdieOnQKSmby38UIBxx4m5j6iK32dQmOTMtldVCrp/XAZXKLS7qv93MHnRKrB4XW+KmtzR3Sl18LsPXbaFvlYQQJOnFHS4CS7tIJH6uuwtqraY/zscOAd4T+nu1tekHHr2h2jntYtEXCkV826RMVao2auvUz1CpGbZ429lV0DsJO3iZvpweJQDfa0XTku3xHPmRS93tatoKlLPmjr38kPyx5/0fOFpeWbvcelU7whAccRyLlal77YpOh9IQzyLNSVXg9qPlbMepItibA6oQO0X3Ja/YD1BVQmoE9rx9q/Vu6xxnampWuPJflIYY1wrYSdApKZl47zxA4ziFsiPW8XOu98Q3H5R682JQSLkBBKYdYo36dzN6oWibrUajdkZBx3eLTlooOEchpPmJM6vFpVjyMV9aG+UyjRsMITcohMl7hvCO+7G35MLjZK16JmgfwMVAnW/uWkfiiHWc3QIPefFtUkGuuEFGffA708sfsuwANc6tok+3uAt0+8C+Ucj9htapTWJSazkAYnzvC8/FZrp784hMQjCJsTVech7Jz1Cwe6q12rUYWTDwQqpc/Z75nShfodu4DjbMy+GCpz9hmRWvWMJ+rLr4nrgOxxo0tUetrbaXEl4/Wc1eKOxalkayABx6FoPYxOEoDUBgM7BBEnXbscLgSYtTh6r0UoPJWF9fHGKhW/0Fnr5fQBsDQYvtu1vBcr9D4DARtfWyFbG6cJOG1d8fEs/leSvI1RSYEEnDijJABcXbRY9TwnzZzVxgI71clOxQs/fvcp+y0xQ2iXBwC85Ztkef61uOO4yrWGuX+d5FMsr4OTWOBvY1ve6/n6tuVtFbF4z+vVQBmdNOk5y2HyDT72vWXq/NI3CgchASfOKD1I9Xk2mwk7bQRYCc52lH1WlDaqc6dRz8W2TdSJrfO573XmWfVRvqK9lUlgtgRqx7sKmjTh9ttehn4Njv1PTTm/Vow4dZwmIOnZ+JBIkIATbww+CaFB4RXvJxZWxhhn8wuRAvldOnY96E4bQIRInSyq4dTlNrP1qqwZRLRkYOer1InCrRTWqO1m0NsOfrjQy/WPgXLY+3S3QnUNuhap3DmM8UxFNRj3IEyYh3ZRWY3uxVtjLxInvRiX7z6JVIXfSqMGRw9NXPbPkI3AeteU7u/z3inWVYaIIlbPfyxK0Xst5bkLuMzN7mE5XI4OeyxpLCq9NHPtQzPXPsu9pxvFyp2dJQnS4MSZhieNLTF97XtZUWviJEjAKZmYfYHW4bItqkl8cdJEIh7E4vnV28ZGjeu9OnzTJNpdT9SddlqQgFNCae/ajvs9P8W7GmFi+fiU9peOk0j0O2Hni2Go53fb8raKWNzfhjojlxu1wWnHuBOpGbcHHYpWGSrDqdSxOHQEK21kfLzFEhJwLCd2Q76zNDjyg45dM0DSDNmNuX7c2mSwWKfgVNV+rIT8FsWhO+zkUp3LTRdzxhyHXsQdZ0o3K+lpdEowAeclr7WhI1gZW92cLZNZSMAhLIEEjsSC7mYQOSecTqAW48s6EenhXmPovNLcZvGiaoWkuJZPAg5hCbRElViwtnFpXduPN8M9v8W7CgTheEjAIWyFlqhKJswCTinwFEwQTsXpnsTjPUqTgENYQrw7MmEtrPfTbLRugiCMM9D9Jw7zleNdDcdCAo6FnD5fgKU7aZ3XbkiYsp+fk55hSkf3giDix+WuDfGugirVsxbGtXwScCzkxLkCzP03Ptvx4skM3zi0ccVuO2BlLhd3eubErLzSCKtBplN3GRFEacDpuxU9/vPxLT+upScYbq50zmc7uraio0/epbsdFhp/JT1iQ66EEcjImCAIp0IaHAtxcRzu8fwa72oQRMygHW0EEV+SURDvKjgWEnAsxOUCLuJOxLsajqJ06rRKDyTgEER8qcydjXcVHAsJOBbidtHrnChd0BIVQRBOhQQcC4m1DQ6JU0S8IQGHIAinQgKOhbhIgxOFR0cEX6LkQUtUBEE4FRJwLMRVSndRqXGZzkB6RMmCNDgEQTgVEnAspLRuEydKL+TJmCAIp0ICjoW4qDWJUgZpcAiCcCr0SrYQ2kVFlDbIBocgCKdCAo6FxNoGp6t7Y0zLIwgppMEhCMKpkIBjIbEWcFjjBRGEXZAGhyAIp0ICjoXQEhVR2qBgmwRBOBUScCyE5BuitEFdniAIpxITAeeDDz5AvXr1kJycjMzMTCxZskQ1/aJFi5CZmYnk5GRcfPHF+PDDD6PSzJw5E02bNkVSUhKaNm2KH374wa7qM8PRNnGilEE2OARBOBXbBZwZM2bgkUcewdNPP421a9eia9eu6NOnD/bv3y+bfs+ePbjmmmvQtWtXrF27Fk899RQeeughzJw5M5xm2bJlGDRoEIYNG4b169dj2LBhGDhwIFasWGH35RAEIcDF0RIVQRDOhON53tYpWMeOHdG2bVtMmjQpfKxJkya4/vrrMX78+Kj0Tz75JH7++Wds2bIlfGzkyJFYv349li1bBgAYNGgQcnNz8dtvv4XT9O7dG5UqVcK0adM065Sbm4vU1FTk5OQgJSXFzOVFMzbV2vwIwsGsCDRGR9fWeFeDIAinMjbH0uz0vL9t1eAUFBRg9erV6Nmzp+h4z549sXTpUtlzli1bFpW+V69eWLVqFQoLC1XTKOWZn5+P3Nxc0R9BEOZJw8l4V4EgCEIWWwWc48ePw+/3o0aNGqLjNWrUQHZ2tuw52dnZsumLiopw/Phx1TRKeY4fPx6pqanhv4yMDKOXRBCEgDquo/GuAkEQhCwxMTKWGt/yPK9qkCuXXnpcT55jxoxBTk5O+O/AgQO66k8QBEEQRMnCY2fmVatWhdvtjtKsHD16NEoDEyItLU02vcfjQZUqVVTTKOWZlJSEpKQko5dBEARBEEQJw1YNjs/nQ2ZmJubPny86Pn/+fHTp0kX2nM6dO0elnzdvHtq1awev16uaRilPJ3CYrxzvKhAEQRBEqcFWDQ4AjB49GsOGDUO7du3QuXNnfPzxx9i/fz9GjhwJILh8dOjQIUyZMgVAcMfUe++9h9GjR2PEiBFYtmwZPvvsM9HuqIcffhiXX345XnnlFVx33XX46aefsGDBAvz11192X45hAuRTkSAIgiBihu0CzqBBg3DixAmMGzcOWVlZaN68OWbPno06deoAALKyskQ+cerVq4fZs2fj0Ucfxfvvv4+aNWvinXfewU033RRO06VLF0yfPh3PPPMMnn32WdSvXx8zZsxAx44d7b4cw+wOpKOWm2JHxYqPivriXs+seFeDIAiCiBO2+8FxIvHwg9Mh732sTH7A2rIIRR4tuA9v+SZpJyQIgiDsI1H94BARjqJSvKtAEARBEKUGEnCspPQpwwiCIAjCkZCAYyUk4BAEQRCEIyABx1JIwCEIgiAIJ0ACjpWQBocgCIIgHAEJOJZCAg5BEARBOAEScKyENDhEgpHLl4l3FYgE4b+FQ+JdBaKUQQKOpZCAUxo5xFeJdxVsww93vKtAJAhrAg3iXQWilEECjpWQBscxXFK9XMzKerrwrpiVFWsC4OJdBSJB4KkvETGGBBxLIQHHKbi42A2mR/nEdeJYhTsT7yoQBEEYggQcK1HQ4LxQOCzGFRHg8savbIIgCKLU8GrhoHhXQQQJOJYiL+Ds5mvGuB4Crns/fmXHldhpcEjxThDa0BKVNtsCteJdBVMUOUykcFZtSjoKGpy4LlyVrx7P0uNGDFeoCIJggOy5EoN9AeV3itOEWBJwLEVelAlQMxMEUcrx0ziYEBSp7KwkASeRcaIGh4gBdIeJ2LA5UCfeVTAMT6+bhEBNwHEa1OMsRUnAcZZUSxB28GLhrfGuQsLTzLUv3lUwDC1RJQZqvrEqcmdjWBNtSMCxEkUNThwf7NJqjFJKLzuefOa/Jt5ViAtrApcASGyHj1ZAAo42XAnQBvtV7qPTliE98a5AYuHAzllKnQ/SUErEiscLR6IizmInXxMbku+Jd3UcSwAurAlcgraunfGuCmECNQ2Oy2HvQGeJWyUdJ2pwiFLD+sDF8a5CwrBOR1vy4LCGb4gebRvbWKOSTwAclgaaxbsaOBCoFu8qlGjm+Nsr/uZCIIY10YYEnBgQ4M0JOFktH8Dcpq8YO7mULlEl0lX/iXZM6SYW3WhzTUoT+ntQShnnKMR3BuLoe0uBAFyOmOw5S8dQ8vg10Fnxt/jfXTEk4MQAsw91Tq0rsbt6D4tqQ1iN3evmj3BP2po/Ec0xPpU5bejucw4a3k+jfLyrEIVTbHCc7LbDGS2kjp9Xbr+tgdqi7ztaPmF3dVRx7p0uidi2Tdw53X6m/7J4V4GJRJqllVIlXFw5rkvACd4gJ92nU3yFeFchCqcIOE4eG5zmCVgONUPio6go+n66Kpv22S6c35olisijc45PEhwNPthbAhnGsnXIyPm0+1E8VXh3vKvBxNasxAkSyRo41Anq/9KMk1rfiS/xgMrMP5Y4WYNz2oGCqRQeHJb4m8v+JtXuxLsfOvdOl0QEGpzDfNWon30eo81tZui0btid77oM+fBZlp+drOEbxLsKluGkF2dpQc/AbFSw3BG4yNB5cnxd1F3Xslo8sEKw+G/hEAtqQpghAA6/KNjhSLU7JOAkFJHbKbTLaOnaXXzMIMUz+C+KepmqU2liH58W7ypYBseswSHkmOuPjZqc44BJRf2Z079aZF3kZamQZUSY2GpUw8xIwAJrtYWB1qbr4WRN56f+PvGugiZqS1TSfte6dkWba6MOCThWUqzBke6aSkYhABNGiMUvuBeKbjdet1KG1+3cQUwvrsS5lLhg5IWm54ywkTHHYRcfn91L0ms0IkjYLSAHwGGHA6JlO8UWSI7fA5noVvRuvKuhSlBQlW9DqfCT5InvzkIScCyFD/8r7ABh3wAGn6v01LLGzXAq1TV4YpATMmvCTxSac2ZW5C6jGpHWCga1t3c2KsTu4dIhJlglFo9b/zCnR9cQNjLWeZ6VNHbtt0AzYW9H4+HCr4FOJvOwoh7OfqCyOGf76VHTDjrNvslZtSnp8CEBR/wAuU06P0o16l9j6HdA+Rqmyj7Ll4k69q3/SuMZ+srjj+v/wcOFo4znwcCR3Hxb848lrEbGhDxGXoqGWpyLnyfXVtxuUclGXuJ2v/j94EwH3LSijk7W4ADOcjcgh7qAI617fK+FBBxLiQg4wsHmAB+UyM3c6qubGBBUGljrO8eSoZvn4fUlaaczyfx/j9heRgi7B8y8Qj9jSnvrUeSQXTD6MbJEpae3hzQ4nC5PrlZqe6ww7hRuUQ7F17IS58zunS1AOB2/isNGpwmPTulxiQEfWaIS8lcguKXOzIBWtbzR3UvO6nDgONSrUs6yof3rou4W5WQcuwfuc/lsAo7dM/A/uQ625m8XRgZdI88qF0cNjhVBDosEMYbs8KNjd/+8r+BhpnROewlLcbrClgcHXsE7f1Q/jPO1kIBjKfJLVOEZXjx6LmOZSn4NpCR7zXYZDnWrlotqo7sKHjeUmxPW0+2KoLs80ARPFQ6HyyFPaYBTDrLnZPZAv2Gri9Nhg1OcVK8NzhG+ks5aKSM1/DT7XNhhS2SFYKF2XX8H2MYwJ4wZaji7dsHxTuleOq1tHTJ0JghhPzjyg43bhICjtS7bMe89nOeNL/2cRApTOquCk0sfhHx4LcknHtgl4AwueBb/83c31W+sZK+7bryroIqSj5QNrkYGcjPW0fUsUe3grdtRJO2DbxQN1J2H3mepf/5LutIb1XTm8/JjQwEvFrhZ6+90dwqOrx+nvIsq+h6TDU4CEVmiEs6AQp/cKvt9T/IasWM0+skRVMZ/i4aGvy/2t2A7UYO47App3I85qdnaLfM3NZmD/UtUav0mFlyfPw4TCgdjrvfquNZDi0/87P1GCz1LTaHB3uPidJ4HFPQYr7dqskgFnD18uu489Ao4G3l90euNTgROILJcJqzjkkBLQ/k5xxZIHn/A2SIOr6LBsWuyZxTnhL9NBBR2UbEMHFZoIqb5rwIHHrW445hU1B/rAUsXdHneguyKM1B9hG/4CNj1B3b89j4anFmuXieT7fZM0Z343W0uIJzdD7XbxYFFMWDXsLiOvwTr/Jcg081q7OwsjPnB0S/g1KlSDpt1nMcBQLI+78N+noNbZvnMikjdwlztmNgYrR/rWax1rsrlGKpHrCjwBxz9ZuagfC+jBJ84a5+dJW6VeJQEHG38ULdvYOknAbjwtb8HJhTdghyd0YSVBoeoaylOdkZm+zgTBedk8xWRVB5oei0K3MmGiphQOJg57QUTy3ohsvgqpvNQwymxqEqqw0FDBsMGynG55P1GWYmS9sEfN/Nmdoza4LzMHJ6BrQUu4k4YqkesGNqxtnaiOKM01igZH8cLEnCshBcuUQkOh76p3PtNgbo2VcqeJapbC8YYy5APaQG0tVz5RdoDVmVOHFSzUd5kfOi/lrk6hxEdMyzEmMLhTHkU2jzdcogJDuK9nm4UI7VeFmBfuoxY3nH4JdDFQGnsKAkJAbiwMtAYAHCWD04M8nl9/VL4DEpL+T8dQXb/DdRRrKMRdguW2+SW/iO/GWd60ZUmzraOz+9oh2f6svW93YH4haNR64diSIOTQEQ0OOIHMeLpVAnVZQ7efBwra4hc03r+EgzIf86CnJRxMagMoo2Vg9vp77q0npFqqeYdPxxSD5slrX8CDW3NXw/fGHBmyXH223coanB4F54rvBNvFN6MvgUvG8pbLOCIn9Dp/quw1cXmG2ddoL7scaMaHDUN3BG+IlM6Ld4uusnwuVZyVeMaSPay7VacpGMiZyWcipGx02xwnFWbkg6vJOAEUX8/qD/8cdliLsGqHVSxoEaK+aUn5wg4pYMinRoHVro20O/6Xo+gYty2ROoSVBulF4gfLuSiHN7132g40KzSDjC/zmUH5fYw1k7ZCkvAPDjR8nC8wmSURpi3iZMNTuLBQ+w0K/RgF5ZRHmid7nwKkFMJGx9QpA/CvkC0p2aWF4evOJCpFCueK6fcE1bbF7sFMr35P1+oHRxW+MIusmk4apxmr12MHWQr+MjZoyC8WKE5Ugop853/Cl35WP3cHEcqpjb9ENfkR2umhH3yHAzaBaLkTGYiu2Pjhy4j4zhjq4Bz6tQpDBs2DKmpqUhNTcWwYcNw+vRpxfSFhYV48skn0aJFC5QrVw41a9bEbbfdhsOHD4vSXXnlleA4TvQ3eDC7YaltCPzgvFV0c/jwW4PbYEjH2qg25GPkKfh0sO0Bc7GpO1mEFd5CFY70eg+hGm7Ofw4F9y7TlU9zbq9mms+K+ujK02lwHPBqoX6/JvHmK792qBC5pVxWnLLdN1TvWpXK6jovAE7Rv9XugPw27w+KrpM9bsXSgNBMmZP5zDqhyeYrm66LlMOpbfAvX1e1DgUGfWkBJUfA2c9HghTHq84cB2wMyLsIiO6HCazBGTJkCNatW4c5c+Zgzpw5WLduHYYNG6aY/vz581izZg2effZZrFmzBt9//z22b9+Oa6+NXmscMWIEsrKywn8fffSRnZfCSMTI+Khgbbh74xp4+YYW8FWtq2icG2/larKSJkTw2co6yuW1im8MVGusUDp7PlKEg4IcSrZEsR5AfvUrR1pm8flhdx/afvSsrfnrbe+JVdlswMzexWlF3VR/D7V7Zp1KePG6Zpr57Q6kYVJRf1yA8i5BJcP18wrn1OHMx17TEmB+8l3DlM8fgTam6yLFKc4unUQ8l+SyUAXd8t9AZt4k0XGnaXBs2/6xZcsWzJkzB8uXL0fHjh0BAJ988gk6d+6Mbdu2oVGjaO+iqampmD9/vujYu+++iw4dOmD//v2oXTuyfa5s2bJIS4ufFbksFdLwQbVnse6Q5EUgeDiNqvbs7jbb+FrogdWqaWJhg2PVOMbzwH8KR6Cbax2m+7vhBe+Ximn/4eU93cZyy+MtBU9jWaAp+rmj/f5wcR3KhFjfHi4TGpzNSda/SDcG6oJrci2wPij4Xuf+G68U3YJbPH8ynT+sc11grnqaF4uG4c9iIUApDIfyLhX548mc/ARFD8Ilqiau/eHPod53iKvJlI8dLzl5G0T2J6OAd8PHKftxcsbzFVt+97dBd/da3edxxYtUIWeS04q6hZ+PqGjxiWqDs2zZMqSmpoaFGwDo1KkTUlNTsXTpUuZ8cnJywHEcKlasKDo+depUVK1aFc2aNcPjjz+OM2fOyGcAID8/H7m5uaI/W0iqgFXlrsC8QHvFJM1de2WPx1tF+k8gojkR+vIQPvjSJSozNVa6Xr15qrXbN/5uuK/w0fDOKmXiv558nE8V1WOPxCYp3v3DiRRybAFohb32aPkmqmn7F7yMbQ3vBQD8wzfGM0XDcQbqS09mlsqUzlTK084+KRRwqgmc4YXicrFudLCjhma9eW/jMyyqSZALvA9vFcZ355XamCA0hVAyi1gYaGVJPRYLtMtO0+DYJuBkZ2ejevXopYHq1asjOzubKY+8vDz83//9H4YMGYKUlEispKFDh2LatGlYuHAhnn32WcycORM33nijYj7jx48P2wGlpqYiI8Pazi5E67WdgnOyKYSdVcmPhJW8UXiz6LvSDEa6RGXVTIfNu3N8ieXDuoO/SPQ9OjaY/i3zVmNH/sI1eyUDWiWMBP/8pu1Xmmn09ju9/YQlf3Y/I8p8zWADJWR5QEn409cidugbzTqZ1D5dfwET/crvHDs44VZeapc6Xo2lmCHUwpZ4G5yxY8dGGfhK/1atWgVAXuLneZ5pJlBYWIjBgwcjEAjggw8+EP02YsQIXH311WjevDkGDx6M7777DgsWLMCaNWtk8xozZgxycnLCfwcOHNB72czIa1IjB92cts/9XI0Zo27Soi3v5wfaib4zvbwsHLcUBSoHrbWrtcmKQGPF3/TyYVE/xHsgMMsCf/RykdI93pIxKPw5ABcG5T+LqUXd8UbRAFvqZnfL2mHsrNT3Duvwmj2h6BZdZf4RaIPbC55E57x3Rcf1tp8dPpVZfGKZwZjwrn5OyOGiVawrd6liPdcGIj6KHioYJfpN0euwgWv+J9Aw6rLNbBSwG902OKNGjdLcsVS3bl1s2LABR45EG74dO3YMNWpEbwkWUlhYiIEDB2LPnj34448/RNobOdq2bQuv14sdO3agbdu2Ub8nJSUhKcm8XxQ2uOJ/+ahjgLKviStc68OfLbf96D0BmNxXdEhty7fi7JEXd19OJiYOK2wPAsu8Kz56Hj9v5UtNyweShUWZQK2lJ+pwlFbERZ7FADis4JtgRZH60pFsfXhgf6AaaruO6T7XSuwIBKEkNBXyHvw1cCMumXE50rhTqnkY8bC9SGbZQun6HuvREFgSfbxP8+rADt1FqyJnZKyn3VnGiXn+TPR0q9shhmDR2q0JNMDl7o1M+bEg9a+mRL6NntWHFDwDTpK9S/TuKOE2OFWrVkXjxo1V/5KTk9G5c2fk5ORg5cqV4XNXrFiBnJwcdOmi7M48JNzs2LEDCxYsQJUq2jOWzZs3o7CwEOnp+iPoWo2mBkdBwEnhLoi+B0RCjsmXeN3LgCHfonv+a4wnKEn89i8bCe18WIQgYQqrvWiqlR/rmUq8l+u0CNUvi2WLsKDpYrHV2/Y+q/MazCzP8uAAb1mMZfAxpBell2dhsQNG6dj2YPcGsulHXSnvydgMoXhsdk1oeIhtSbTQih1ollUyXr15TtzPhBPhWI1HhfBElcQJ3mmlxpNxkyZN0Lt3b4wYMQLLly/H8uXLMWLECPTr10+0g6px48b44YcfAABFRUW4+eabsWrVKkydOhV+vx/Z2dnIzs5GQUEBAGDXrl0YN24cVq1ahb1792L27NkYMGAA2rRpg0svvdSuy9GNkgbnV39nzXN56LdH0KRhT+zjI5qzxulirZjwAVEOpCb+bsdg43Eb75IBiwcdy1++HnZHZEba9j4bXixCWAbRSUX9deWptO2ZFb1CsNpOwJALB73+nuyw1VJeVgjao8wJdMB9BQ9r5pOvYGAqh5IfmZDTUvZWUU/5vb8rc04hYqEImOa/ijltPIxpL7jKS8bpCFujjKhjNyUStkR0u5QwDY4epk6dihYtWqBnz57o2bMnWrZsia++Ehv5bdu2DTk5QYv9gwcP4ueff8bBgwfRunVrpKenh/9CO698Ph9+//139OrVC40aNcJDDz2Enj17YsGCBXC77ZWqWeAk/we/RL6d4rWjfPPgcHfh45bWS4pXIkgIH5yPivriFF8enxRdI1qG4i18aJhmHAyjmp2PsVrehsr1lgG6P4eiCrV0ncY6RFSroN+T65oAW3whQL9Gi+Ue/+nSFvhjxV8BNi+x6yROzvTOnnmVbyHUXOGH7NS0dncBQJ+C8Zjnz2Sql5Jd2ZJQuwiqqnrNGgKikaUzuV1UetpdKyUPTpdWRqvsr9KfYs5Li2cK78Qyf1P8WVm8MURYg02BepaVp4V0WFaazDsBW8MgV65cGV9//bVqGuFsqW7dupqzp4yMDCxatMiS+tmB/DtZ/03fw4uX20Iq2mX+pujs/tdAzcQPpUtFeDjCV0bb/A/Bw4U+7sgSo5V+cOwwauYtnubZskTV9TFkNbsPaRNrwVvsl0PuMk/wqbrLq19NW3i2D2Pt8fR5bQ/kB/mqqMUdjzrOg2cUlI3UTJlhBU9hY3IkurY9s3k1ASf4eWugtmwaIbv5mphQdAuTbYnSUtvcYrcXon7qUxGuPFr2jvoHkpCAI22V/Xx1tMYu3fkZqZGf5+BmtDtcndoTdQ7+Yq5SxXzt74Gv/T1wjYt988mrRYPxrPdrTC7qiUHuheHjWwIZaOIyt8nmkurlselQxNWKqlH5mSygBlt0dDtw1oJZAhByvS6Sahkc/QmR6y5lfMHZxW7eGjsj6YRIWmZosBOv86qjFD8nVli9Dq324gr5kLjA6dGaaA+OdxU8jsX+Fnim8E4d+QbxuvVfv54zWIZ2tv4dSaPlo6h53qc4JvAKrsa9V8i7jz+XEjluVEZf6I8Y30r7hX4NjkL6akFD62y+kooNTmRychypCqnEmF9KDpYnnuCoXHON5uGPRRYZ45dPkp+Lv1B4G370d8Gg/GdVz9dqA5bl6Gywh6CwYzeoUlgPOT7z90HX/Lcwtuh2UX8bUvC06Xq8MaA1bmpbCz89EDQJcantDC68oPxbDCABJybId8xlfnnJNhYGY9ISlGxwRDulNMbJswJfDD/5lQ3JGbJihlUrZTZvKZP9vTGq4EE8UEl/iBCOU77+PwJtcVvhGBzRMZiawSo7qlAuVTlrnWie1eEyYUwf+Z1Y+eUuwvX543Bl/htM+ci1yPxApuB3cb+wzFZr6DeYUtQDgwueUambK24bU0TtoqbOFVRwur+bJWX3aBq0H5RuST6BVDxSOAor+Oh7f5Cvypw/y5i7OVCXOT9OkmcOr8/1R6uLoncOq9336PpzOMDXgNTbs9DOaq/AzvOWgqexP1ANP2qM2wBQIyUJbwxshVYZFTXTxnt7BAk4FhNyva5kgyPsiE8X3WVp2U/2VvfNIhIGVPxKKM8e1TurMH9F7UdxrCk7HP15PB4807cJFoy+gvmcD29Vtk9Qq6Mfbvwa6IyTbvZBlDVvKeyzQXvffCxLdj1cLNtsraknz7P3kXX8JdjLp0e9l2f5O5iuh16bElE7ugXLORVr47miO7GXT1dsIT84007vYkLnUdgSyMBLRbfixvyx6CT0raPzwd76Ym94lGJaCFj5VHfRd7ErB/axSwk9zS59Zj8tugYbdQhIUhtJuTyNuOkQXudxPhW98ifA/+A6LAs0w+UFE/F3oLnK2fJIJ0k35T8vKJAEnIQivEQl6nzyyzxWOmACgFYZbCprwJi2I2DFPvFrglvVR/eI3gYphcWmRhz1GLi768W4pHp55mrWSImVf6QIwYFK77KlcaPsnclq21/17I3R22ec/SY+xqdijkkBZ11A/841UYs3vQ6ocxnQlW1TQXAbrn3t+sK12sFCg2j0m17/RZ+CV5CHJKzhGyIb7A4KpSR73Uxaq+op4h15Ik20xrlG7ai65r8FDPkm6rgdWjapVkg9ZQS1c7bxtcFVqsuUNoQ/IL73Uhuc0xDaApKAk/go9HbmW++KzBDVlhT0rNFKq8S2TVxctnpdFH5LDgphGZX07/jRhu36hT6G1LQjTLM6mSTt8ibh3oJHVM/jFT7bwXGv/f6h9Ag/eq9XUaNooOF4pimGsfoYwuMD7pwFdJfakCjtrnKpanCqlGOLzxViR0AcIuT2LnUV0+q97qsaK4cW0AvzhOza9wzlz9YTolvgAF8DaNgr6nisRXseHJb5myKXL4O/JFqY3wJBIX5LIEP2HuoVxgr8Ypsb6Vgv+k4anASDC/0nb2Qs7Ppaa/cfFfVFzsX9gfRWqulki5FBpFMyMMXQ6qr6fPdod/yTXu3oxS6hpoxj687CktVeFixb+uU4jlSsDshEKC9+2J2k1zBal1M+8b22cxhTq6NZPzgLQ87dago8oNs8JpuxsQvApfrsNq2p7vVdyjae3WWB3nfVQwqOAI3YfbnkxlU52g4DnsrCnRmzdZVp9U44OzQ4WkuTtxQ+jbb5H+EcxJPHZwvvxJOFI3BrgfzWdb3vgsoSIVqqwZHqj+IJCTgWY8WulNAAOL5oKA5d/QHz06KnbLWtfayO/qTM9ndUT6CTP6roi6XD2gBCwVJtZria115GM4o53yk6USnKqJHxWa/8koNVO61iAQcgF+WBp7OBu39nPs9I/bcE2AL81kxVd3wY0LDBWbIjsp2+Q10WQ3VjmjeOQdoxaivklwlVI/ecKtbAVxZ+TtnB4d/+6GU4K/vkT/4uurTprEjbIPrZ5VAkYw92HsmY4e+GE0i15DqTPGJ/QaoanFT7AluzQAKOxWhJw5bZW5gsW+3FbvRlyjQL8rFrRQpdyYo7zUJc4AU2NOWqMeUr1uCo1ZkTBcwr4PU4AlP/zZ6XfOyMjM97Kin+Zn25ar9ZICh6y0R2B+iEpfxZ5W9m3mn1xZ0d0KFeZXS+WF44CcAl+/KcWtQ96ljr2hWZymQmRpPxczLerc1qRIQvXbnt9WyawEgeStrqCYWD8XDhqHiHYFJEeJ0XZFw0GImDKBVwRJPnNPbwF3ZAAo5NsMyMlbqSeCnJkupEl626nCNfaJrEiE9uBqGUwzOFd+J9DASq1FcpQa6e6u2YJ3Qv72Fz+y/eTcZYEcgPgkZvjxXvir0B9aC1IdRFOGM12VS5p+i7HTY4/fJf0kxzEhWYy5WidO16dgumpyZj0tC2WPTElYrpizg3c/s0SquAb+7trGhLEwAnOyaoxQAqUvHQK7zSlGT13WB6PZkraTG0+5zMcxaORcWO/DYP+f7HukTVP/8l/OjvggcLHlQoM7TJRHx8E1+PKX+jsN6ZfPjwauEg7Gh0ryh0Dwu5ClvdVTU4jGYDdkECjsUke9SbVNgVLvCRQeyMwIeMcQ0Oe1q1F7vSwzL5rvaqeao9ZF/7e+AjRFyNs9ZVazD8WeS3gVlsCn+SanA2B+rg26LLcX3+OABWayYiNjj6tonrSNh/IgDgOcZgjPpeGJHU5xSWqBgzYmITL++4DwgaivPg8VjhfcEQA0O+ZSzbWjVEahkv+rRIR50q5VTKNJCxQj2L4JHVOqo9J2ovMuE9XfKkciymWpXKSKoUX9uKYA3Ue+8ThfeiiHdhdeMnNPNi1bBt5C/GI4WjcAha2mJOVL8/A62Z8o9gX/t+4L8O25s9Cj1P/38KR6BX/iuyv0Xb4CjZn8YeEnAs5v5uwdg+LDNj4UOlNMvS0z/0mFtKbzzLC7dxWgrqV7coHADj86vVjkoBAoX0bhZRJ29r8pBotia1EzjGV8QTRSOxjr9Eppr2PKxabe9zu2TTyLZM5h3AmIOY4o/e2SGHsH3VHMxJy4vehceOUtqm6doGsoPyn8WWQG0MKHgOtSuXxX6+BgYVPAc07Kl5rrRsRQ2O2XdLDXFMK2PZKZ/FqnWM7HrksI4h5lhqGeVnqXySR/d1GH23WfVqX8U3RqP8L7Gt3m2a4whLmXouJ/ranbVmpWQfpaTJ+sbfDVkKW/1VjYxJg5NYVC4b1MooLz9pq21josHhgH8CESNa1rXXj4dl4rrWNfHrg5fZsvQhRTXOiQHOVagrEXDUbf7zYMxPjvAevl90bVBbN/Ar2d+18OgNwZDEvmzznf9yAMD6wMVYHmiKPwUhCdSQBj/UtUSlckuXB4IeaTvkvS/7+wq+CfoUTMBqvhGeuqYJbs6shWkjOjGXbRRdz+RtPyFww8eS861DbulHu37sNahUVl7QseoaQrGtYoEfQR86WkuZem1wlPMJ4kRnjH1bRtxFKL0rjLx7otuFNDilFqVHRCzgCI9LO4jaQ6Zn2UPNyDj4W4uLoo3xMiqXxcTBbdBc5jctWGbP0vQuqMQ5kaJwSdJLXVK8NfiUt4amf40RBaNxIFANIxX82rBssfzGfyWa5X8OXHxF+JielwWLF9fi2jClCkWNPsxXxmR/LwzKfzYco+buwsfDQo8U4eBXxqtv6Mjng/YdWwK1VR043lLwNBrlTcZRRIyYVwbkQzBULOvD6wNaoXN99uUyoXDF0lo+jSVnWcpVAVoMFJWpe5hXkQKZl3cFCV/3B3ckflEk1uzJvdAapSkIA8IqmVBzLQi0xQ35L0TVRYu+LdINTZx4HniscCRWBBrjjzbvKKSySsAJ2Qqp5ze6YKRmXvL5q5erRmjyrYaR7fKqNjhxhgQch8DSrWbc0wltmOJ/MJTHAT4Uyf4Welie66++g0kYeyoqf41Ozup7QSsVJxGbWPL7T+EIvFI4GB/UfS9KEyFlPX8JuhZMxJxAB9krGtu/mWYegNwaP/tAwhbzRQVJW48qeAjvF12LgQXPgYcLK/gmYd8ZfrhxIKC9G618svxgqXRVswMd0Tf/ZdxYMDbKYaQQHq6oAJxvFd2EcYXDcEX+m5r1cgpmlvA085Y5Jpe/sJ2X882Q9/g+vFAkts2Se07LeNl3CxqDw1q+AXIhb7ek9LJ+b0gbTLv3MkMlHiheyjxc40qsDUT88wwpeAo35o9VPE9r2VYJreHt+8DlyMybZChvo4jrpFRB/QKOdBLqJOWVviAqBDP6pVjtJaqOF1cB0lOALPHxNwqDxrt6tIEF7nJo5dotUzrwbL+muDmlLdrXrYxDKtexjq+PQ3wVXMSdYC84XCDbLjOWdsznvUjiCoF68poHKbkoj0n+azEoKU3VozMLLWqlYtuLvYEXpfmwo1Vm1fI+tnoxdoBjqIjXigYzpRUiDsIq/5vadW/m60blI85Dnnz48Lm/D2MtoxEK08KdQMq7qMwjFuCtndEa1vozLl2WVYjcHSsbHOX8OFSs00I7oUo9XByHr/1XowhuLA80wS7+IuUTARzn9TlOjGhwtDmBVPwbqIOmrn2MeYsxoylRujdGNDjLAmK/Qkf4SgopYw9pcByCojzN0N8uFNuJsHTNRwvuw/OFtyM3Sdl9f50q5dC7OYt7fw4vFg5jSCdzpkW7qHhw6F7wGj4sOxK4KjLbEi1FqCxdWRGB3CMTGE8LK155PDi8UhgUVHLK1QUuamdBrsD//NE+VYLlRTBnYxY/WFZWRGmKP//hbw0A2B2Q+D+xy8ag9VAAwV190SiXWbuyvqjVZVDAnLvVu6gM5SBob2Gf6lhP7DdIbTz1w42p/qs1hZtgHYXlqVA2GHQ3tFvKiKd4ccH6WkevR2+9z68SI6+oj438xbjd/Qp+7bkIAHAUlTC0YAy+aPKprrzsgAQcm1B6MUvdXMun19fJ9DwKPwS64kt/r6ho4lZsh9bMQeeIxoNhqQs8DvLVMatM/6DDtvC5wpl6pGZFvsiMTE7AYYmYbRbewrwm+a9F3bz/4efLfgLc1ihkj6GiZholDY7wfj3fvyn8nuA9WSQwXlYau2Oh2q5bNbIswoFH1wbR0eD9MhXMRhW0yvsYPQteFf/A8CLieU7//W58DXbePB83FrwQPhSKoab27nxjIJuReIhM17aoY0ovZ71+cIRUkPGxo7SxwcizUdbHtqym1/iXuS6PbMDmAUtEQpNzLFGCCO+r0j3Wq8F5tEcDvDekDd4afRfykyLP0t+BFjhYjjVwq32QgBNjyidrb2s2KuromTVYZeWvJIDos50J0knGeyvrLirppQckEW//UzgCXxT1Ql7tKwTncKYd/RlNq8sPDhRsLGIgEpwQBOoUz2algmE0d15aD+6H1wNDvsGPgUvDxysInoFalYRCqT1UFGx/vr61eNY+5a7oaOLSvhMiB+VlXeFrY+zK8is3Qj58mF0c8fxzf28A8s/WpT0H4M2BrdCeKTyDMYx4uQ1hZU9dU+cu5PFevF4UMeRmtumTSVdesCSXLVleYX7GfOXAV4xo25zqyTiEVRqcJI8b/VrWROVyvuhJjwMkPBJwbEJv/2ZfT41OxxffRk2hQrIWHWvUrnDj2J74393i7b6sNjhyCAPe8uDxjb8bXii6HekVIyp8DvFpB6nAonmFCnWMxbJPpbI+3HP5xZj9UFfRcbWdUCIqBKMt84KhptF1TyDXWw0HGg9Hko5dStUrGNuy3yqjIh666hK8enNL0a4oDvIvPL+CgBP+XXAtAZ+2XYuafxkWHi28H9OavI8JRdGx2Y7fux64dSYu6ToQN7ZVDpypp3/IGjHzenOR5KnVX66MBILUKqXqtf9Fs/zPRdoSae5Kecg7SYwwSuKhWO/Oz0hatudDv6VmJN+5/vaC4/qwcpu4EgEHSDhkZGwTel/MYpNEbVWikJBaUZ8fHLXEerQLyhsXpQg7vPS8CjKareA2cYMCjqCsvMKItCMV8rT84FiFUFOhG6ZlEOPZq+HieDx1TWibtvbyHcsA6alQDSlP7UAKxwFvLGSuS/cmNTBt5X7m9EJG95SJ7q6A1sAs1OL4k7UNKiuW9Uq0X4xayeJz8uHDgdQmKMIuAOJnN1AuDUivy5SfHLLhR2RuYVEgIK61zj4pl6eo7KrajghD1K5SFn6JY1R2mz71g9IdfKwejqV1sC3EjuAu5ECf01VhnWqkyIe1MRNV3YlaKxJwbGIXr22kKzb6kt9FxdJpWH0vCDUH6vnqmakYg3exdj1jb27hMsO5/Mh2eOGgWz7ZA6+CEz23i4uayZvZGTW6R0PV39Xz0i5Dbeu1HUhrf55niwMWySCYQ3mFHTsqp1iIfJsJBRwePJK9LpGQrLdOPA80vyh696Oe7dixeHmqURQwY4FjP8MvE4f1UGoirSVp6TUKv6elJgPHwQTrLYrFMrMczS9KxQvXNouaeCWaBoeWqGziAF8DJwf+BDywUnRcqfsYtWUBjEndcVmiElxifko9pnM8Ah8Lals2pVfjF72k5Lnz0rqokOzFQ1ddIkgbzOmaFiy7yCIEVOwTvh3ZJWr5QCScaNnr8GYHHvZzyzEaawo1i3sCNcKGyTUr6tNUvTGwNRrVqIB3b2mjXaaunLU5xEcbGANAikSb+FgPNe2Pdq14AG5Bew1sVxuXN6yGb0d2ZqkmAPueV7lxhwNwlK8IIBIvr7AoYEpLKLvsJfqi7SZDjls6ZGDVM1czO3uUa8d8BeFVWhetZ4PTOTFl5dWbW2LWQ5dF1Ucv0mu/vUtddG8ijlMmd4uPFPcFvThAviEBx2q8nkgncte7FKjGphoXL1EJjkuflNSMqHOVIthGlSFIoG5kzK5O17MUJ5LoORd+FAXKlCfkdRcA/pXdMitP/5Y1AQANa5QXNaiwjcr5gtoDueULOU+9aoPLY4VBz6QTCqP9y1QvH71zTp82iGE5QEd+cnx4a1vcdWk99G9VkyljYUtM8UfiQFVWcPOvxCXVy2Puo5dHlytXpkUvjRvzx2K+vy1GFj4qOv7qzS1xXeuaqrYsxgjuBwxRp0oZTLmrg6Y3cJHWRnBc+KLSc989Mg+9/BIVh6EFT2GePxNjq78FABjUvnbUmXqQW2qfpuCOQG++Vcsbs80Kob58HKm3nr5tepu4gIHtMtCspnpfYRG0kxm8j8stybFeiXQFgTQ4CUhZnwevD2iFV29qqdO4UGGJSpqsy4OYX6YP7ij4j2x6NW7pEBGOoreJW4u2J2O2ek8ougUvFg5FL3yAPwLRs3ylcprWTMGyMVfh1we7igQEFv84AHDP5RczazOA4Pb75nmf4kP/tcFyNNI/XDiKOW8Nm1cmJhX1V/29d/N0PNe/aVS/UCQuxtnWlLmGb4gRhY9jP8Q+bQa2y8DEwW2iwjOoCZgsNbJknFfauq0jb4/bhen3dML+pvdqpt3B18I9hY/hubsHY+rdHfFAt/riZdAK2gKpELnaH4f8S5sHh8dCoQyuk49JFk6rs23lNDhyW9hDCDWzZX3qr0sjTkP38dUVfrFeOEjyaI9n1i5RWZaVYUjAsYGbM2thYPtoTYscXxVdDQB4o2iA7O9RD6S3DD5JfRgLix1KAewanLsF69SsKm+tVGIBQ71HR69va9fhLMriM39fjB3WG1P8PXGvQkwouYtPTy0Dn8el4ndFrvzgsZQyXvz2MJtnZGFdWeu2NNCcOV/dzulkMG486IBRygx1uyr+9NbA1pqna7VrYVX5OFlRCA2D3foNzoV3TxgaRM2mRK7unS6ugtrXjw1/l4syLiyrXJIHl15SNdqZ5dBv1CsszZMD6lQJPh/1qsqHaBAyM3A5lt7yL9DmVl3laKE07s28rwteuDbab4uiV/l66tvxcy8U4mN/PwDAzqpBTVU2H32OviC1PD4u6ofzfJLuOF7lkzxMQXuttQmK/9hBRsYx5pYOGcCfke/PFd2Bz/19sIdPw1PeaQCkS1QymUiOhXdRaXROF/MSlT1IDWH1dP/MOpUQgAtzA9F+SzTLFXxmVjzwQdV1h7qVUS7JjT+3HbPRIFDDBseCJSqr6x4PQ1e9ZY4seAQfDh6t+HsVmaVDVq7NfxHdXOswtP19mmnziwKAO2Ln4ffo8zYMiJ/dckke3HlpXRT5eVSvoNO4GwB8kfI/9V+D7reMBioLjHQV2lnUx6ozCnaCTL8e3hGf/bUHwy+rh66v/in+WU4ac2svPentE0rpM+tUQmadSvj2F0m1FPJ5olcjpFcsg5qp8u3/3eqDKAo0Rdu8D3F3s3bAwe14unA4rmxUDXf9q21vpsRhVEWL/E+jdpFpcc/lF2sngrW7qBywQkUCTqyRzl54uLCHYceVGkZeXm61kcHit5eccbDeEqyqkvbW1QguF4cZ93YCx3FYuvM4fNNcgJ+1JAvbkEmDo6U901efDYF6aOnaA7QcJPu7XG5dG1QFCnUVowu9LfqHqxOQrGy7YGbJawNfHxv89fFoZS3bCGDToRx0vTjyIjzPaGCvuHOKB57vr89LrLR/9MkfjwbcoWAcoaZ9GfOQaa8O9wArP9Y8l+OAjMplMVZGS1Kcu8xJTNXSLlvwWW5id5HABueAZMlI9NxI2vAiiUG98B6F7E9OIiX8w1FUwoWbp2LJ2HkKtWNDTrixSpYwI+BE5eUACYeWqGKNwpv6qWsixrR6t4mz+sERD5gqiXV0TKVchMeHFjylkK2xh2lg/rPhz2ehre43s4U61E5dLqnKtIZtlgevugQtLkoVhRBQGihYhRa9XpMB4NaCp7Dr6k+BK57UPKdB9fKYendHfDQs01HOMDSXVxmqysP8TJQHgEbBYKEXeB/g0a91sbpVt/B18HNA3shfSfCT1ST2eRW/9FioWV6se4XQxYPSpo3XB7RC3xbpeOHayHJxDspjZSCy6UDpha/VJZTsT6S5xUoEYFdckw0OYQNVygnVscKlJJldDsX/F/DBF+6KQFBdrOfdIk379d0dZdO97L8NAPBxkdIsT2l7e+T4Nr62bEojL14AWMk3wXOFt2N3lSvxo/+yqN/VasjaRtY+m+zX+VjPRvjlwctEPlLMbhM34g06F+WQU/tqwKOwjCNc7nRxuPSSqijr89iql7ZyZwoAXV6UzZCWkgx0uh+jCh7E5flvGbqTwkuPl0ea7aiNAM/hsNCWhONQWKaa5rl6bl3YV5eJPv/XTnmHNcLxtEv9Knh/aFtUk3jI3h0QatTN9zlD19Gh2BD84m6RfGycPDSoHnQamMvrXz5VwglTHVqiijHKsyOF9DLJQ8cy8z9CRe4MDvA1ohNpIBWckr2CriD4bS46oVXex8hBedyju5Qgl15SBX/vPIEBmZHttxzHYaG/FW52LwbvSdb9MEzx90L1Zg1ReGg7APEOMTV0eVeNwh5DXblfxS80hhIkie6+rB6wiuFEC3DCQCaH0vvggW71se/EeWTWqRSTelRI9gBuL34NBP3eeBmjz4v9qkQ+x0vzn8cnoUn+F/DDhZ2C424Ggz7Nl7zMRVn1PueUPivaGnGyn0U7XWXuwbEz+fLlqynLldql1SCgZhugcmQ5U00TrTUB0mrLL+5sj6d/2IRF23l8WNQPw/tdgf/9Og+3e+bjFRnXF/JlcJLvTKfZCmlwHILQo65I46DScc+grEi40TNTcLs4nOC14+gAyi7BX7yuGZN24MNbMzFpaFvR+jsH4NdAJ9xW8CSKHlzHVA8pwue9QQ3la9Gzi8q6iOHm8hHWTUl4Ew/E4ot8pl9TUW6WuwHghDGdHDCS6eCJXo3x3pC2ts6IhYT6372XX4yrm1TX3IEjh16B1wzKL/5gKANpwFGWdjTS1HbcHeGuM5Z+ywM4FrIhbHSNet6KMeMEnyVpZvnlNecAgGoNAbe5OGZK5UqpVaksnu3XFACHCUVDEGg3HM8X3YH2ee9jZkDfbtJwmQ4YF0jAiTEBd2T93Z0cMTju3Tzik0OvDQ5rWqnRouglXEU+FoxalnUZtnsCwThTfVqkIznKNT2HxYFWQHltDZTWA8q63KDVRqGXh6xQZPh5FZ9Yqaz27h3hQHxJ9Qr4adRlqull61uzDQBgZcXeigLXxVXL4cXr9BmsBhHkJ5zBtx5iIC/GEnW2v1UDrFmBItsXFFDHXNMEn97ent3XkADhkqVSeBGrUMpdSYOgumFBI0+11EyCk6589S/zBMChd/4reCppTNCgupiaFaPtqIRZ39a5juxxIV0bVMXcQHv5HzWYcGML2ePNL1L29q5H8xd8djgcg3EtpxM0OLREFWM8yWVxe8GT4BBAStWKOJJ3FoDYCZOqoz8oD9x6+pOL48Tz+nLybuvVOumFAr9E/csLPrOjd0AV8uBVlyArJw9N01UebFGegnJlCi5kfCTeHtQabWpXZEorpQyDA0HpPa6QZGAmN3w+cCYbe+aeQB2hbwIBfzx+pa4sZ/ovQx3uKE5Vbhk+Jqppemvd1Qyhdb/1CixWDLBmDNRvzB+L9q5tOFC+B24zcL6w/n9sPYrXB7QCIB+Y1krUNDhyKK246Wt/Y+2s9yyWJSpx/hxOIAV/ezoCLjd+GXUZTl8oQK1K0bYqQg1ONYF3ZaV++399GmPJDsbgVhLSK8rHkHr06oYY/qWxtWmzz4v0dBJwSiFtMirB1eBq1KlSDocUDOEK+Mht0TPjqFyO3a8Hy6wLUH+pBHje8OKH/tl4NDyCRrmaKLykRHn2eRX+5R9iQtYtTPW5vs1F6kVqnF+prBehMFuy2291Ilue2wtUzABwAlYp/B8rvB8A8A5n/44yQ6RcBOQews6APk+7drCGb4g1/oboacH9PXYmHzdnsoWQSEn2IDevCN2b1MCnf+0BYM2yluJSL8fhnoJHMd77KQqv/yTsH1rJhogVMy/ItJRkZOfmRR0XCiGKEyvRZ06UtkUtZbcAwrzdClo24VEW2yUllATvaC15cbmcTg2OA4QTK6AlqhjjcnH44s4O8v4gek8AqjTA60UDw4fUjIxDzLinE764sz2qaMRkYQ1TwIq54Hss6/bqaYyUr5hlx3tx7t6VOIygJkt+p0rsnnqrB5g5/qAqPK8s+4tfWoWrGkd8hAgHWNF9snFkZMr69l8wpagH7ih80gEWAEGs2C57ZSMll/7RLHnyKvz64GXMASil6NWUuTkO8wLtkZn/IfIy9NlrXEDxmFXnUl3nadGtsXx7sfhmEZsVG+tFwjZUWpJ0go2KncTKxk0NEnCcRKf7gAdX4QgiRogsXaTjxVXQTccACMgsUSmgvgNADOvyDitmlgdE+YjyjHyOsvpXSGcHwrKrFm9TvaVDbdnfAQDeaH8/W/mI8bFqfbmg35PL8idiZd+5GvVS/q2qCc+/VsA0XFapj/M9XsFBvlp4SccMVvjBqVvF/NbbG9uqawyFpJbxagbyVEN5iUq+ISL2Ypyic0KlPK92fQo8+m+xplGSL8MNV0qiVN6OI2e1TxagN5RCCGHdlWymzLz/9QoPUqeEmvnrSl18juSk+tXkN6fEElqiiiMs46ZcR7ZCMGaPJq6MdOCfH2iHFYHGKFe/C7idG5jrYtcujBCsLyiR+tpkG+sZGNNSy2DTo71EwT2jzk69COj6GOArh76zk3GzexEmFt0oKE/5IgPFKoSDfDUEDDiZ0yL+8zQxI6+oj9s712WydbKTb0d2xqwNWXikR0ND5wvbVV/gXntQeo42H8oNfxYvS0H2s5DzSA72bVms71l6n2ujsm3LWhUFZbKNK2fK1gbbvtZolOr5xR3tsWrfSfRvWROTFu1SzcNsawvv/UNXXSIytI4XJOA4HLteHi6XmoJUYfkhKpXYBqcQHgwqeA7/bdwc2dvHoZdb2djNkiUyxuFHmK5i2ciLQlqFckkeXNMiDXmFgaBzNim2qVx5lE+Sbr2VSdb9OQDA5lmzsLmorjgHlab4cd1hk/VTR1kPFqFqeR+Ony0wV46O5o+3cAMA7etWRvu6+reEy2F117u+dU3FfqHXyPjkefn7KhJ2DIxkpjQcCseFdi9MQWz1aHAUjldm2DVpF90aV1dcrlPDiGDXodj9QaWyXoxmsY2MAbYuUZ06dQrDhg1DamoqUlNTMWzYMJw+fVr1nDvuuAMcx4n+OnXqJEqTn5+PBx98EFWrVkW5cuVw7bXX4uDBgzZeiT34GRbn7XqnWrE+yvPKA8lH/v54tXAQMPIvw/mLZz7RJbFqZoTpqpZPwntD2uCz29vJro1/MDQTn9/RXqF9bLoZ9oXhsQ299lys0evViMeaPs8DNxQblAvDZ8Qas+0nfVbUlg8Uf1N43qowbG7QIzRJDXutRNiOSvY4wkmbnthMwvxqpETsIXs3T8PQjrXxxoBWEqFPuVwtPDZESzb7fFWrkIQ1z/bAsjHdLaqReWwVcIYMGYJ169Zhzpw5mDNnDtatW4dhw4Zpnte7d29kZWWF/2bPni36/ZFHHsEPP/yA6dOn46+//sLZs2fRr18/+P3MkRAdQX6hdn3lZj7CY28OZLczED7PLk7tgWLr6DyAPXya7G8F8OID/3VAmry/Bqb8bTKE6deyJro30e/9WQ+ankVFaWV+t+llbqZFhbdDqBW7opHAVb+JeifJ7AB55Sbj/ccq0lKTsWVcb0y5q0PcdpeYFXCk70O1fnBb57p4oFt9fDuys+Qc+bMGtpN3RClaopL85iveWy5cyok+3/g1K50qbAe5+eWYPo1F340aGV9crTwmDm6N/93dEW4Xh//e0AI3ZdYStWF0Hdk9nnesVzmsMbGKdEFkdNZdtlIql/Mp7uSKB7YtUW3ZsgVz5szB8uXL0bFj0FvjJ598gs6dO2Pbtm1o1EhZhZWUlIS0NPkXZ05ODj777DN89dVXuPrqqwEAX3/9NTIyMrBgwQL06tXL+ouxifb1KuOndYeRkqxyGzT62Y1t2baOSmHfJq4Mz/NYwzfEYwUjced1VwM/GFuCMDqMsb6s4x7U1sgWWZ3p7RIGlfAHIp9Tygh276W3BirWASrWFqVnaYLXb26Ju6eswkNXNUCPZjVQ5Odx8lzE/X33xtXx8eLdJmtujNCS14/3X4rr3v87JmUGJBMSM5SRvHTUuovP48ITvRpHHVc6xydwsil6gQvSSIWV2Q93xYx/9uPeK+or1sPMJSv6ChOFvIi+oKY1U3BI8F2XgCPJ7rrW7IbhgD4h1uN24Zt7OwNjQ0Wbl7yTvW6sf64nXC7lnV8lDds0OMuWLUNqampYuAGATp06ITU1FUuXLlU9d+HChahevToaNmyIESNG4OjRo+HfVq9ejcLCQvTs2TN8rGbNmmjevLlivvn5+cjNzRX9OYFx1zbHYz0a4tcHu+o6z+jERjj4WLFkEGJm4HKcrdZW1zmWFB9ryaVe8RbYssa23yphrddkdbS8KLPaSgQCwr4k+MHjAx5aC9z+i+66NahRAYue6IabMmshJdkb5depaU1lZ452UV0SiLFVRsUoYcEuhEseRrcUt69bCQAwuENtjZTaKOt7tXcJSVNcUr08nu7bFFVVXFtYFotKkI+WDQ4HDv8EooU7OzSq0vKdYDeWWtZruyPJWGKbBic7OxvVq0cbN1WvXh3Z2dmK5/Xp0wcDBgxAnTp1sGfPHjz77LO46qqrsHr1aiQlJSE7Oxs+nw+VKlUSnVejRg3FfMePH48XXnjB3AXZQGpZLx7s3kA1jX02OIxrvozlC413nYZlYlD/t4NLbi1utrRMudmX3hcaq6zXOqOirnxFZQg++3kVYdkV/4HaLN+O7IzX5m7DC3L+qmKEyM7J4FT009vbY9muE+jWWBzx20hEckUtoWJXVZFwGDDjJ0YUu0vYjoI0cjY4HAf8w0evLrBoSFlaVNVNRdxVzdqUNMWObgFn7NixmsLCP//8A0DJMJRXlYYHDRoU/ty8eXO0a9cOderUwaxZs3DjjTcqnqeW75gxYzB69Ojw99zcXGRksEWfjjdW9iexDY5KzgzePqX5NU5LweM9G6JGSjIKhOsXSkUwXJlVj7tlyzdlKgGXPy77k15PoULkbXDM52EnLA7ThFjh1CyWRsbt61YOLgHI1iM2dQioCZGMpJbxiuLchTDSV5VOcSkIE0KM1N5MOyu1l3DpRRgeJ1ym5LtVwXftJlb1vF7nslu80S3gjBo1CoMHq4dPr1u3LjZs2IAjR45E/Xbs2DHUqMFu4Jmeno46depgx44dAIC0tDQUFBTg1KlTIi3O0aNH0aVLF9k8kpKSkJSk7uXXqdg1qKtmq+SlVppMMuSNuiqojZq6Yp8ldSnS2GXm/PmOMpXL+YDwSqnMTFJnflbJcBUE9mBVyik/M/GYbJaMV409WD1zNnL71EI1mMk3qhwdaZXGjvuvrI/ZG7MwsF2GKI1w91FaqpwrCOAMH3GK5y+24mAZh+OpgNmrsNmjtKNb8Vm1alU0btxY9S85ORmdO3dGTk4OVq5cGT53xYoVyMnJURRE5Dhx4gQOHDiA9PR0AEBmZia8Xi/mz58fTpOVlYVNmzbpyrekILtZWeVhu/PSugCAB7opG+8BwMFTF0y/MJQe6BSGNVwWua1IQxPkJI2uVBjQmlF9MDRis1RTxssoS/uwLgu21REU9L4rg/2mduWyqK3igddBTR9zYiVoMWtczWZuEqWama2ymWuunpKMFU91x+O99Plj4cDhFFIwsuARBAZPhx/sy616tZqWMPJvFA75Hnv49NiUV8JmGbYZGTdp0gS9e/fGiBEjsHz5cixfvhwjRoxAv379RDuoGjdujB9++AEAcPbsWTz++ONYtmwZ9u7di4ULF6J///6oWrUqbrjhBgBAamoqhg8fjsceewy///471q5di1tvvRUtWrQI76pKJPQ+48/2bYp5j16Ox2UcLQkfv6CxneKUjKl8pef5mhbpuKltLbx8g7ktvix+gpzC5Dvbo1VGRVx2CZuvlAY1Ij5LW1xUMep3tcF92ohOaFkrFV/dFTHgV7OpuEFhp52cVqBCshd7J/TF4v90i/pNdL/1LlFZMDA6ILQNgNgtlYmMjB2gwVGqg+JxA2Ww5CtErRuaCfA5J9ABXKPeus83h/pd6XyxzOaGtOZA/ehnlQhiqyfjqVOn4qGHHgrveLr22mvx3nvvidJs27YNOTk5AAC3242NGzdiypQpOH36NNLT09GtWzfMmDEDFSpEXghvvfUWPB4PBg4ciAsXLqB79+6YPHky3O6Sb9xoFpeLQ8Ma2g6/WWdHqitZCsfdLg5vaPjnYSn+utYXYcGWo4rb6Jk9GcdATmp+USp+euBSvPfHDvwVFSVe/WLl7oVa+3SuXwU/j7pMdMxKmwrl9Lzgc+xxSnDCWNXCil1UVqJsXyO/9bq6wBu4x6V/Lm2HHJlZp5Lq72aKZDIyFpals7CB7TJQNsmDNiobBeLfS5yFrQJO5cqV8fXXX6umET4QZcqUwdy56sEAASA5ORnvvvsu3n33XdN1dDryjv6MIWxrj4vDx0X98Lj3W5yp308xBoqqDY5FkoNSGb2apeHNga1wRcNqsr+zYmTHSEyRvXz7hyozty9QgrRrlhMzI+PIZ8ttcCy8faIdS4LjwvAjRvyqsAh1eoWEOlXK4ffHrlAMn6DlPV2NdDmbHhX0tojLxeHaVjVN52MGJwjaeqBYVA7HLm2428Xhff91WBRohdevGgIjkUPsfsX5PC5VR4ZGQjXYjVVlWbmLSprVfVfWx6SFu0xtgRaXx/AiMlySII+SNbZagD1+q4I5W2iDY/F92ee5GNV8Sbi4WjlL8pNqj9TCVJi5loY1KuC1m1vKGy8XkyxwihhlxF+K5wx2QQJOKUL4/HjcHHi4sJG/GLxb2VhV9Xk38UBaMRNg9mRsuiR2rCpLd+uoSFbSQfs/vRrhji51UUMuoKgKwvTi4krXyBy7JSpBmU7W4FjVIiP/AlZ9jszLn8TSctXhdVtjItq3ZTq+XLYXneRsWCQoXQlr7KcBCmErwvm4XVjxVHf4AzySvNZcXzxitJUUSMBxOHJ914r+LJzVqBvqKf9mZhbodSfmQ+lEDU503pxu4QYAHuh2CQ6fvoC+LdLRqX4VYAH7uc/0a4r7p67B8Mvq6S7XacTqhaLmFM503hbmpeRUTzdpLYB+b8EN6Ni7pE2y1x1ls6aEtJlfH9AKb8zbhrcHt7asPqFnL78otrETYx3OxQmQgFMCsWKoE06O1Pu9mg2O8fLrVS2HG9tepBk6wApK4oOtd1bcOE05jIFVM+zySR5MHNzG0LnXtEjHuud6oKKJ+13aJqp29tshHWpj0sJd6NnUfNBZlttScm6duKY3Z9bCzZnG4v3px9j9jmXbOt6eUQIJOA7krkvr4fO/9wCQfzkNaJeBP7cdQzOdsXmUZoTRnZbtkTHT1TmOw5sDW5vIQYcNjqlS9BFqS6YwGGH07aIS8uuDl2H9wdO4poWyoy+nCAZmhBvAOQaOsfNkbF/eGZXLYsu43ki2YJkkkZZI4nopJWAiViGpZIkMtvnBIYwzqH1kHVfugevTPA2/PdwVM+8z7thQmG16qtTRHJv/jXg/j06cTVjVJgOL1/K1trU2vygVQzvWUX3JNK+Zak2lFIndW6FXs6DGob/MbpJYETtHf/b27zI+tyXCCYt5im0x9Sy+G7GUb4xsnZcjlkJZSRNmS5Y4VkoQvriVPBk3STcSWVl+V4Y0ajN7bs4TMGSJ5S4qi/JpflEq/nn6alSyIIhpi1qpmHJXB9SqFO0xuSTBccCbA1tjyY5juNyk64CSQAl5usBxHK5pkYZT5wpR36KdT6xYPQbF8gXuLmmRK0sgJOA4ELuMC4UhFNSz5WQ+RRNvDU6JweA9rFbBuvhpiSAQcADKJXnQu3mM3NIr1SMOnoydzgdDM+NdBUuItchxcbVywBlzeZQ0rUosoSUqh2Nl162ekoxXb2qJ94a0sUStGffh14E2OLJSn9aLigaoEkU8tok7gddubgkAeOn65nGuiX3E+lEsaU9+SduwQRqcUsbAYvueH9ceYkrPGnU8HjD7wYlhPUvW41+yKG0z1Q51K6NCkgcXV1d2TBdLBrTLwDUt0lHOgKFpSbHBkQt8ayfiPm3v6NG/VU28Pm87Wlxk3CavAUMYICdBAo4DES9Rxa8egPoAEu+Xefu6leNcg2hkZal430TCUmJ1O8v43Fj9bA9mJ3OxwIhwU5KoWj4J39/fBWV9sYtrmMOXRSp3HqjL5qvHKHWqlMO653qIQmiw8uMDl2LZrhMY3F7dkaHToCUqByIyMrZpNFXNVvBbSOOjtZsnlrx2c0t8cls7XN2kOlP6eAhiAeGj5bbOlqa0IbIbi2M94oXP4zIUx8lpOGWLPwtta1dS9StlJRyAvgUv45XCwcA1r1mS51fDO6ByOR8+HhZtF1WxrA8eAx6iW2dUxH1X1jd0bjxJbHG8hBL3ZU5B+Q9ddQna1amEtjICTrzqWatSWXSur+12PYQvhg9lSDjNhw/oMQ4oygcqaDlTKzmDf6ypnpKM1we0Qlmf20EveqfUgyjpcBxwkK+OSf5r8WSyNe4cujaohtXPXF3qlnTlIAHHgfg8zpGSPW6X4g6ceO3y0KtinTi4De75ahUe69nQphpFuL1LXXy5dB/6t0oHLu1re3mlgdh5kmWD3hv6cY5w6ixqpCRj+5GzludLwk0QEnAcSIPq5XFd65rR0WYtRPUBcOiz8Xz/pjh06gKaX6RPfdy0Zgr+evIqm2olpnqFZKx7rkeJU+WaggZTQoMEDT1nmlduaomnftiIuy4t+THanAgJOA6E4zjDMX8swcXmXC7WCpw7S8ggoFu4KekCgqd02RiV8LsVF6zy2iulpD86NSuWweQ7O8S7GglLKZpmEkJkx4UuDwKX9GC25i9JjsgIG7jqGaBuV6DFwHjXJKaEQqm0r+scw3unY5N8E397RcLRkAaHiNDzJV3J6zvEPwcRJy5/IvhXynioewO0q1vZUTsLnQ6FJSDiAQk4pRQrVLtXNqyG/97QPGZbKgnCCXjdLlyRAKEvYonXJpu0kr5ERdgLLVGVUqzwS8FxHIZ2rEMzWdPQKE0kJs/2a4r01GSM7d8s3lUhSiGkwSEIgiBsYfhl9XDXpXVt27ZMNjiEGqTBKaWQapcgiFhAPlmIeEECDkEQBFEiIdlJArWHCBJwSin0HDgIGqUJgiAshwQcgog3tbvEuwYEQRAJBxkZl1JIaeAARm8FTu8DMtrHuyYEQRAJBwk4pZTUMr54V4FISQ/+EQRBEJZDAk4ppdPFlTGiaz1cQt6ICYIgiASEBJxSCsdxeLpv03hXgyAIwjC00i6mZmqZeFfBUZCAQxAEQZRIyM9fkJn3dcHJcwWoW7VcvKviKEjAIQiCIIgSDIXLkYe2iRMEQRAEkXCQgEMQBEGUSMgGh1CDBByCIAiCIBIOEnAIgiAIgkg4SMAhCIIgCCLhIAGHIAiCIIiEgwQcgiAIgiASDlsFnFOnTmHYsGFITU1Famoqhg0bhtOnT6uew3Gc7N9rr70WTnPllVdG/T548GA7L4UgCIJwGBxFDSZUsNXR35AhQ3Dw4EHMmTMHAHDPPfdg2LBh+OWXXxTPycrKEn3/7bffMHz4cNx0002i4yNGjMC4cePC38uUIRfVBEEQpQmeJ1/GhDK2CThbtmzBnDlzsHz5cnTs2BEA8Mknn6Bz587Ytm0bGjVqJHteWlqa6PtPP/2Ebt264eKLLxYdL1u2bFRagiAIgiAIwMYlqmXLliE1NTUs3ABAp06dkJqaiqVLlzLlceTIEcyaNQvDhw+P+m3q1KmoWrUqmjVrhscffxxnzpyxrO4EQRAEQQA1UpLiXQXD2KbByc7ORvXq1aOOV69eHdnZ2Ux5fPnll6hQoQJuvPFG0fGhQ4eiXr16SEtLw6ZNmzBmzBisX78e8+fPl80nPz8f+fn54e+5ubk6roQgCIJwImSDQ6ihW4MzduxYRUPg0N+qVasAyHc+nueZO+Xnn3+OoUOHIjk5WXR8xIgRuPrqq9G8eXMMHjwY3333HRYsWIA1a9bI5jN+/PiwoXNqaioyMjJ0XjVBEAThNMgGh1BDtwZn1KhRmjuW6tatiw0bNuDIkSNRvx07dgw1atTQLGfJkiXYtm0bZsyYoZm2bdu28Hq92LFjB9q2bRv1+5gxYzB69Ojw99zcXBJyCIIgCCKB0S3gVK1aFVWrVtVM17lzZ+Tk5GDlypXo0KEDAGDFihXIyclBly5dNM//7LPPkJmZiVatWmmm3bx5MwoLC5Geni77e1JSEpKSSu46IkEQBBENLVERathmZNykSRP07t0bI0aMwPLly7F8+XKMGDEC/fr1E+2gaty4MX744QfRubm5ufj2229x9913R+W7a9cujBs3DqtWrcLevXsxe/ZsDBgwAG3atMGll15q1+UQBEEQBFGCsNXR39SpU9GiRQv07NkTPXv2RMuWLfHVV1+J0mzbtg05OTmiY9OnTwfP87jlllui8vT5fPj999/Rq1cvNGrUCA899BB69uyJBQsWwO1223k5BEEQBEGUEGx19Fe5cmV8/fXXqmnkjMTuuece3HPPPbLpMzIysGjRIkvqRxAEQRCEMiXZjptiUREEQRAEkXCQgEMQBEEQhCwl2Y6bBByCIAiCIBIOEnAIgiAIgkg4SMAhCIIgCEIWMjImCIIgCIJwECTgEARBEASRcJCAQxAEQRBEwkECDkEQBFEiaVijQryrQDgYWz0ZEwRBEITV/PjApVi++wQGtc+Id1UIB0MCDkEQBFGiaJ1REa0zKsa7GoTDoSUqgiAIgiASDhJwCIIgCIJIOEjAIQiCIAgi4SABhyAIgiCIhIMEHIIgCIIgZCnBkRpIwCEIgiAIIvEgAYcgCIIgiISDBByCIAiCIBIOEnAIgiAIgkg4SMAhCIIgCCLhIAGHIAiCIIiEgwQcgiAIgiASDhJwCIIgCIJIOEjAIQiCIAgi4SABhyAIgiAIETVTkwEA3RpVi3NNjOOJdwUIgiAIgnAWPzxwKeZtzsaNbWvFuyqGIQGHIAiCIAgRNVKSMaxz3XhXwxS0REUQBEEQRMJBAg5BEARBEAkHCTgEQRAEQSQcJOAQBEEQBJFwkIBDEARBEETCQQIOQRAEQRAJBwk4BEEQBEEkHCTgEARBEASRcJCAQxAEQRBEwkECDkEQBEEQCQcJOARBEARBJBwk4BAEQRAEkXCQgEMQBEEQRMJRKqOJ8zwPAMjNzY1zTQiCIAiCYCX03g69x9UolQLOmTNnAAAZGRlxrglBEARBEHo5c+YMUlNTVdNwPIsYlGAEAgEcPnwYFSpUAMdxluadm5uLjIwMHDhwACkpKZbmXZqhdrUHald7oHa1B2pXeyhJ7crzPM6cOYOaNWvC5VK3simVGhyXy4VatWrZWkZKSorjO0pJhNrVHqhd7YHa1R6oXe2hpLSrluYmBBkZEwRBEASRcJCAQxAEQRBEwkECjsUkJSXh+eefR1JSUryrklBQu9oDtas9ULvaA7WrPSRqu5ZKI2OCIAiCIBIb0uAQBEEQBJFwkIBDEARBEETCQQIOQRAEQRAJBwk4BEEQBEEkHCTgWMgHH3yAevXqITk5GZmZmViyZEm8q+QoFi9ejP79+6NmzZrgOA4//vij6Hee5zF27FjUrFkTZcqUwZVXXonNmzeL0uTn5+PBBx9E1apVUa5cOVx77bU4ePCgKM2pU6cwbNgwpKamIjU1FcOGDcPp06dtvrr4MH78eLRv3x4VKlRA9erVcf3112Pbtm2iNNSu+pk0aRJatmwZdnzWuXNn/Pbbb+HfqU2tYfz48eA4Do888kj4GLWtfsaOHQuO40R/aWlp4d9LbZvyhCVMnz6d93q9/CeffML/+++//MMPP8yXK1eO37dvX7yr5hhmz57NP/300/zMmTN5APwPP/wg+n3ChAl8hQoV+JkzZ/IbN27kBw0axKenp/O5ubnhNCNHjuQvuugifv78+fyaNWv4bt268a1ateKLiorCaXr37s03b96cX7p0Kb906VK+efPmfL9+/WJ1mTGlV69e/BdffMFv2rSJX7duHd+3b1++du3a/NmzZ8NpqF318/PPP/OzZs3it23bxm/bto1/6qmneK/Xy2/atInneWpTK1i5ciVft25dvmXLlvzDDz8cPk5tq5/nn3+eb9asGZ+VlRX+O3r0aPj30tqmJOBYRIcOHfiRI0eKjjVu3Jj/v//7vzjVyNlIBZxAIMCnpaXxEyZMCB/Ly8vjU1NT+Q8//JDneZ4/ffo07/V6+enTp4fTHDp0iHe5XPycOXN4nuf5f//9lwfAL1++PJxm2bJlPAB+69atNl9V/Dl69CgPgF+0aBHP89SuVlKpUiX+008/pTa1gDNnzvANGjTg58+fz19xxRVhAYfa1hjPP/8836pVK9nfSnOb0hKVBRQUFGD16tXo2bOn6HjPnj2xdOnSONWqZLFnzx5kZ2eL2jApKQlXXHFFuA1Xr16NwsJCUZqaNWuiefPm4TTLli1DamoqOnbsGE7TqVMnpKamlop7kZOTAwCoXLkyAGpXK/D7/Zg+fTrOnTuHzp07U5tawAMPPIC+ffvi6quvFh2ntjXOjh07ULNmTdSrVw+DBw/G7t27AZTuNi2VwTat5vjx4/D7/ahRo4boeI0aNZCdnR2nWpUsQu0k14b79u0Lp/H5fKhUqVJUmtD52dnZqF69elT+1atXT/h7wfM8Ro8ejcsuuwzNmzcHQO1qho0bN6Jz587Iy8tD+fLl8cMPP6Bp06bhwZza1BjTp0/HmjVr8M8//0T9Rv3VGB07dsSUKVPQsGFDHDlyBC+99BK6dOmCzZs3l+o2JQHHQjiOE33neT7qGKGOkTaUppFLXxruxahRo7Bhwwb89ddfUb9Ru+qnUaNGWLduHU6fPo2ZM2fi9ttvx6JFi8K/U5vq58CBA3j44Ycxb948JCcnK6ajttVHnz59wp9btGiBzp07o379+vjyyy/RqVMnAKWzTWmJygKqVq0Kt9sdJcUePXo0Smom5AlZ/Ku1YVpaGgoKCnDq1CnVNEeOHInK/9ixYwl9Lx588EH8/PPP+PPPP1GrVq3wcWpX4/h8PlxyySVo164dxo8fj1atWmHixInUpiZYvXo1jh49iszMTHg8Hng8HixatAjvvPMOPB5P+Lqpbc1Rrlw5tGjRAjt27CjV/ZUEHAvw+XzIzMzE/PnzRcfnz5+PLl26xKlWJYt69eohLS1N1IYFBQVYtGhRuA0zMzPh9XpFabKysrBp06Zwms6dOyMnJwcrV64Mp1mxYgVycnIS8l7wPI9Ro0bh+++/xx9//IF69eqJfqd2tQ6e55Gfn09taoLu3btj48aNWLduXfivXbt2GDp0KNatW4eLL76Y2tYC8vPzsWXLFqSnp5fu/hpjo+aEJbRN/LPPPuP//fdf/pFHHuHLlSvH7927N95Vcwxnzpzh165dy69du5YHwL/55pv82rVrw1vpJ0yYwKempvLff/89v3HjRv6WW26R3cpYq1YtfsGCBfyaNWv4q666SnYrY8uWLflly5bxy5Yt41u0aOHorYxmuO+++/jU1FR+4cKFoi2i58+fD6ehdtXPmDFj+MWLF/N79uzhN2zYwD/11FO8y+Xi582bx/M8tamVCHdR8Ty1rREee+wxfuHChfzu3bv55cuX8/369eMrVKgQfv+U1jYlAcdC3n//fb5OnTq8z+fj27ZtG96qSwT5888/eQBRf7fffjvP88HtjM8//zyflpbGJyUl8Zdffjm/ceNGUR4XLlzgR40axVeuXJkvU6YM369fP37//v2iNCdOnOCHDh3KV6hQga9QoQI/dOhQ/tSpUzG6ytgi154A+C+++CKchtpVP3fddVf4Wa5WrRrfvXv3sHDD89SmViIVcKht9RPya+P1evmaNWvyN954I7958+bw76W1TTme5/n46I4IgiAIgiDsgWxwCIIgCIJIOEjAIQiCIAgi4SABhyAIgiCIhIMEHIIgCIIgEg4ScAiCIAiCSDhIwCEIgiAIIuEgAYcgCIIgiISDBByCIAiCIBIOEnAIgiAIgkg4SMAhCIIgCCLhIAGHIAiCIIiEgwQcgiAIgiASjv8HFm7ovkrdKlUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = df[:-2]  # Last two points are zero, lop them off\n",
    "df[\"Uz1'\"].plot()\n",
    "df[\"Uz2'\"].plot()\n",
    "\n",
    "# Uz1 with its bigger offset also has bigger range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "cf4d0cdc-5f30-47a0-9129-502f3c211df2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 78,
     "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": [
    "df[\"Uz1'\"].plot.hist(bins=23)\n",
    "df[\"Uz2'\"].plot.hist(bins=23)\n",
    "\n",
    "# Uz1 with its bigger offset also has bigger range"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36467c4b-63dd-4932-91e5-32d2979be915",
   "metadata": {},
   "source": [
    "# How about at 1Hz? rolling(20) mean? \n",
    "### Result: still Uz1' has more variance, but at 2Hz they are equal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "031fa5a2-45b1-445b-a5c5-6ae238137763",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, \"Histograms of 1 Hz w' from channels 1 and 2\")"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VkpKS7wdSftddWbZsmSIjIzV//nyn9pI49t+xY0d17NhR2dnZ2rJli1577TXFxsYqNDRU999/f77bFPb1KA++//573XPPPerUqZPefPPNQm/XpUsX/c///I82b96so0ePqmvXrgoKCtItt9yi+Ph4HTt2TI0aNVLt2rXdWm9+75eQkBAlJyfnaT927JgklejPI3c90dUW4RbWhx9+qHPnzmnVqlWqW7euo33Hjh1u2f+V5L5Or732mm699dZ8+xT0T4t0aZH6ypUrZYzR999/r8WLF+uFF16Qv7+/xo4dWyI1r1u3TseOHdPXX3/tmM2RVKzLZ4SEhGjz5s152gu7QDnXokWLNGzYMA0ZMkQLFiwo9DWmrmUcxoJbVa5cWX/729/0+OOP69SpU44Lg13+n16u3MMGy5Ytc2pPSkrSjz/+6Fi02K5dO/n6+uq9995z6vftt98WabbDZrM5asn1/fffa9OmTYXeR1FVrFhR7dq109y5cyVJ27ZtK7BvYV+Psu7w4cPq0aOHGjRooH//+99F+u87KipKFy9e1PPPP69atWqpSZMmjva1a9dq3bp1bp/VKUiXLl20Z8+ePD+zpUuXymazqXPnziX23I0aNVLDhg319ttv5zmjxxW5H4h/ff8bY4oURF112223qXLlytqzZ4/atGmT7y13tutKbDabWrVqpVmzZqly5cpX/F0qrvxeL0l6/fXXXd5n586ddebMmTwL05cvX17ofSxevFjDhg3TwIED9dZbbxF0ComZHRRbnz591Lx5c7Vp00bVq1fXoUOHNHv2bNWtW1cRERGS5Dhr5tVXX9WQIUPk7e2txo0bq3Hjxnr00Uf12muvqUKFCurRo4fj7KPatWvr6aeflnTpMMCoUaM0depUValSRf369dPRo0c1adIk1axZs9CnmPbu3VsvvviiJkyYoE6dOunnn3/WCy+8oPr16xf6TKPCWLBggdatW6devXqpTp06unDhguNslyt9UBf29XDFBx98IEmO9UNbtmxxXBX5SocXXNGjRw+dPn1ac+bMcVzbJlfDhg2dzoK6XOvWrVWlShWtWbNGDz/8sKM9KirKcSistMLO008/raVLl6pXr1564YUXVLduXX366aeaN2+e/v73v+d7FqA7zZ07V3369NGtt96qp59+WnXq1NHhw4f15Zdf6t133y3Svrp27SofHx898MADGjNmjC5cuKD58+crNTW1hKr/P5UqVdJrr72mIUOG6NSpU/rb3/7mODty586dOnnyZJ7Z1lyffPKJ5s2bp3vuuUcNGjSQMUarVq3S6dOn1bVr1ys+759//qnPPvtM0qV/jCQpISFBv//+uwIDA9WjR48Ct+3QoYOqVKmixx57TBMmTJC3t7feffdd7dy508VXQRo8eLBmzZqlwYMH66WXXlJERIQ+++wzffnll4Xa/v3331dMTIxuvPFGDR8+PM8s0U033ZQnnOH/8+z6aHhaQWen5OrVq9dVz8Z65ZVXTIcOHUy1atWMj4+PqVOnjomJiTEHDx502m7cuHEmPDzcVKhQwemsiOzsbDNt2jTTqFEj4+3tbapVq2YGDhxojhw54rR9Tk6OmTx5sqlVq5bx8fExLVu2NJ988olp1aqV05lUuWeIvP/++3nGk5GRYUaPHm2uu+464+fnZ26++Wbz4YcfmiFDhjiNM/fsmhkzZjhtX9C+L38dN23aZPr162fq1q1rfH19TUhIiOnUqZP5+OOP832d/6qwr0dRz8bSFc6kupohQ4aYwMDAAh8PDAx0ek9c6bkKc8ZJv379jCTz7rvvOtoyMzNNYGCgqVChgklNTb3qPvJzpbOxmjVrlu82hw4dMtHR0SYkJMR4e3ubxo0bmxkzZjiddVXc98uVbNq0yfTo0cPY7Xbj6+trGjZsaJ5++mnH4wW9Dy4/q8kYY/7zn/+YVq1aGT8/P3PdddeZf/zjH+bzzz/Pc5ZSQa/H5b8nBY0v9/W4/GedkJBgevXqZapWrWq8vb3NddddZ3r16uW0/eV1//TTT+aBBx4wDRs2NP7+/sZut5u2bduaxYsXX/W1y60jv9vlf9fyk5iYaNq3b28CAgJM9erVzbBhw8y2bdvyjK2g34/cn81fHT161Nx3332mUqVKJigoyNx3330mMTGxUL8bVzsr8vKzXfF/bMYU4kIqQBl14MABNWnSRBMmTNCzzz7r6XIAAGUQYQflxs6dO7VixQp16NBBwcHB+vnnnzV9+nSlp6dr165dV1zgCAC4drFmB+VGYGCgtmzZooULF+r06dOy2+2KjIzUSy+9RNABABSImR0AAGBpnHoOAAAsjbADAAAsjbADAAAsjQXKknJycnTs2DEFBQVxNUoAAMoJY4zOnDmj8PDwK15clrCjS99z4+7v2QEAAKXjyJEjV/zSXMKOpKCgIEmXXqzg4GAPVwMAAAojPT1dtWvXdnyOF4Swo//7wrfg4GDCDgAA5czVlqCwQBkAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFial6cLAHANmmh3cbs099YB4JrAzA4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0rqAMoPxw9crLEldfBq5hzOwAAABLI+wAAABLI+wAAABLI+wAAABLI+wAAABLI+wAAABLI+wAAABLI+wAAABLI+wAAABLI+wAAABL82jYmThxomw2m9MtLCzM8bgxRhMnTlR4eLj8/f0VGRmp3bt3O+0jIyNDTz75pKpVq6bAwED17dtXR48eLe2hAACAMsrjMzvNmjVTcnKy4/bDDz84Hps+fbpmzpypOXPmKCkpSWFhYeratavOnDnj6BMbG6vVq1dr5cqV2rhxo86ePavevXsrOzvbE8MBAABljMe/CNTLy8tpNieXMUazZ8/W+PHjde+990qSlixZotDQUC1fvlzDhw9XWlqaFi5cqHfeeUdRUVGSpGXLlql27dpau3atunfvXqpjAQAAZY/HZ3b27dun8PBw1a9fX/fff79+/fVXSdKBAweUkpKibt26Ofr6+vqqU6dOSkxMlCRt3bpVWVlZTn3Cw8PVvHlzR5/8ZGRkKD093ekGAACsyaMzO+3atdPSpUvVqFEjHT9+XJMnT1aHDh20e/dupaSkSJJCQ0OdtgkNDdWhQ4ckSSkpKfLx8VGVKlXy9MndPj9Tp07VpEmT3DwaAGXaRLuL26W5tw4Apc6jMzs9evTQfffdpxYtWigqKkqffvqppEuHq3LZbDanbYwxedoud7U+48aNU1pamuN25MiRYowCAACUZR4/jPVXgYGBatGihfbt2+dYx3P5DM2JEyccsz1hYWHKzMxUampqgX3y4+vrq+DgYKcbAACwpjIVdjIyMvTjjz+qZs2aql+/vsLCwhQfH+94PDMzUwkJCerQoYMkqXXr1vL29nbqk5ycrF27djn6AACAa5tH1+yMHj1affr0UZ06dXTixAlNnjxZ6enpGjJkiGw2m2JjYzVlyhRFREQoIiJCU6ZMUUBAgKKjoyVJdrtdMTExiouLU0hIiKpWrarRo0c7DosBAAB4NOwcPXpUDzzwgH7//XdVr15dt956q7799lvVrVtXkjRmzBidP39eI0aMUGpqqtq1a6c1a9YoKCjIsY9Zs2bJy8tL/fv31/nz59WlSxctXrxYFStW9NSwAABAGWIzxhhPF+Fp6enpstvtSktLY/0OUBpcPTPKEzgbCyizCvv5XabW7AAAALgbYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFiaR7/1HEAZ4OqXcvIFmQDKCWZ2AACApRF2AACApXEYC4BrXD38BQCljJkdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaV6eLgCAG0y0e7oCACizmNkBAACWxswOAFxBvbGfurTdwZd7ubkSAK4i7ABACXA1JBWE8AS4jrADAFdw0C/a5W3rXVjuxkoAuIo1OwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNK8PF1ArqlTp+rZZ5/VyJEjNXv2bEmSMUaTJk3SG2+8odTUVLVr105z585Vs2bNHNtlZGRo9OjRWrFihc6fP68uXbpo3rx5qlWrlodGAhRdvbGfFmv7g35uKgQALKhMzOwkJSXpjTfeUMuWLZ3ap0+frpkzZ2rOnDlKSkpSWFiYunbtqjNnzjj6xMbGavXq1Vq5cqU2btyos2fPqnfv3srOzi7tYQAAgDLI4zM7Z8+e1YMPPqg333xTkydPdrQbYzR79myNHz9e9957ryRpyZIlCg0N1fLlyzV8+HClpaVp4cKFeueddxQVFSVJWrZsmWrXrq21a9eqe/fuHhkTALhbcWf/Lnfw5V5u3R9Qlnl8Zufxxx9Xr169HGEl14EDB5SSkqJu3bo52nx9fdWpUyclJiZKkrZu3aqsrCynPuHh4WrevLmjT34yMjKUnp7udAMAANbk0ZmdlStXatu2bUpKSsrzWEpKiiQpNDTUqT00NFSHDh1y9PHx8VGVKlXy9MndPj9Tp07VpEmTils+AAAoBzw2s3PkyBGNHDlSy5Ytk59fwasrbTab031jTJ62y12tz7hx45SWlua4HTlypGjFAwCAcsNjYWfr1q06ceKEWrduLS8vL3l5eSkhIUH//Oc/5eXl5ZjRuXyG5sSJE47HwsLClJmZqdTU1AL75MfX11fBwcFONwAAYE0eCztdunTRDz/8oB07djhubdq00YMPPqgdO3aoQYMGCgsLU3x8vGObzMxMJSQkqEOHDpKk1q1by9vb26lPcnKydu3a5egDAACubR5bsxMUFKTmzZs7tQUGBiokJMTRHhsbqylTpigiIkIRERGaMmWKAgICFB0dLUmy2+2KiYlRXFycQkJCVLVqVY0ePVotWrTIs+AZAABcmzx+6vmVjBkzRufPn9eIESMcFxVcs2aNgoKCHH1mzZolLy8v9e/f33FRwcWLF6tixYoerBwAAJQVNmOM8XQRnpaeni673a60tDTW78Ajin8F5Wg3VQJ3qndhuadLKBDX2YEVFPbz2+PX2QEAAChJhB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBpXp4uAACs6qBftEvb1buw3M2VANc2ZnYAAIClMbMDuKDe2E89XQIAoJCY2QEAAJZG2AEAAJZG2AEAAJZG2AEAAJZG2AEAAJZG2AEAAJZG2AEAAJZG2AEAAJZG2AEAAJZG2AEAAJbG10UAwDXInV95cvDlXm7bF1ASmNkBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACW5lLYOXDggLvrAAAAKBEuhZ3rr79enTt31rJly3ThwgV31wQAAOA2LoWdnTt36qabblJcXJzCwsI0fPhwbd682d21AQAAFJtLYad58+aaOXOmfvvtNy1atEgpKSm6/fbb1axZM82cOVMnT550d50AAAAuKdYCZS8vL/Xr10//+te/NG3aNO3fv1+jR49WrVq1NHjwYCUnJ7urTgAAAJcUK+xs2bJFI0aMUM2aNTVz5kyNHj1a+/fv17p16/Tbb7/p7rvvdledAAAALvFyZaOZM2dq0aJF+vnnn9WzZ08tXbpUPXv2VIUKl7JT/fr19frrr6tJkyZuLRYAAKCoXAo78+fP19ChQ/Xwww8rLCws3z516tTRwoULi1UcAABAcbkUdvbt23fVPj4+PhoyZIgruwcAAHAbl9bsLFq0SO+//36e9vfff19LliwpdlEAAADu4lLYefnll1WtWrU87TVq1NCUKVOKXRQAAIC7uBR2Dh06pPr16+dpr1u3rg4fPlzsogAAANzFpbBTo0YNff/993nad+7cqZCQkGIXBQAA4C4uhZ37779fTz31lNavX6/s7GxlZ2dr3bp1GjlypO6//3531wgAAOAyl87Gmjx5sg4dOqQuXbrIy+vSLnJycjR48GDW7AAAgDLFpbDj4+Oj9957Ty+++KJ27twpf39/tWjRQnXr1nV3fQAAAMXiUtjJ1ahRIzVq1MhdtQAAALidS2t2srOztXDhQkVHRysqKkp33nmn062w5s+fr5YtWyo4OFjBwcFq3769Pv/8c8fjxhhNnDhR4eHh8vf3V2RkpHbv3u20j4yMDD355JOqVq2aAgMD1bdvXx09etSVYQEAAAtyKeyMHDlSI0eOVHZ2tpo3b65WrVo53QqrVq1aevnll7VlyxZt2bJFd955p+6++25HoJk+fbpmzpypOXPmKCkpSWFhYeratavOnDnj2EdsbKxWr16tlStXauPGjTp79qx69+6t7OxsV4YGAAAsxmaMMUXdqFq1ao4v/3S3qlWrasaMGRo6dKjCw8MVGxurZ555RtKlWZzQ0FBNmzZNw4cPV1pamqpXr6533nlHAwYMkCQdO3ZMtWvX1meffabu3bsX6jnT09Nlt9uVlpam4OBgt48J1lNv7KeeLsHJQb9oT5cAN6p3YbmnSyiSgy/38nQJuEYV9vPbpZkdHx8fXX/99S4Xl5/s7GytXLlS586dU/v27XXgwAGlpKSoW7dujj6+vr7q1KmTEhMTJUlbt25VVlaWU5/w8HA1b97c0Sc/GRkZSk9Pd7oBAABrcinsxMXF6dVXX5ULk0J5/PDDD6pUqZJ8fX312GOPafXq1WratKlSUlIkSaGhoU79Q0NDHY+lpKTIx8dHVapUKbBPfqZOnSq73e641a5du9jjAAAAZZNLZ2Nt3LhR69ev1+eff65mzZrJ29vb6fFVq1YVel+NGzfWjh07dPr0af373//WkCFDlJCQ4HjcZrM59TfG5Gm73NX6jBs3TqNGjXLcT09PJ/AAAGBRLoWdypUrq1+/fm4p4K+HxNq0aaOkpCS9+uqrjnU6KSkpqlmzpqP/iRMnHLM9YWFhyszMVGpqqtPszokTJ9ShQ4cCn9PX11e+vr5uqR8AAJRtLoWdRYsWubsOB2OMMjIyVL9+fYWFhSk+Pl433XSTJCkzM1MJCQmaNm2aJKl169by9vZWfHy8+vfvL0lKTk7Wrl27NH369BKrEQAAlB8uX1Tw4sWL+vrrr7V//35FR0crKChIx44dU3BwsCpVqlSofTz77LPq0aOHateurTNnzmjlypX6+uuv9cUXX8hmsyk2NlZTpkxRRESEIiIiNGXKFAUEBCg6+tKZJ3a7XTExMYqLi1NISIiqVq2q0aNHq0WLFoqKinJ1aAAAwEJcCjuHDh3SXXfdpcOHDysjI0Ndu3ZVUFCQpk+frgsXLmjBggWF2s/x48c1aNAgJScny263q2XLlvriiy/UtWtXSdKYMWN0/vx5jRgxQqmpqWrXrp3WrFmjoKAgxz5mzZolLy8v9e/fX+fPn1eXLl20ePFiVaxY0ZWhAR7FKeQA4H4uXWfnnnvuUVBQkBYuXKiQkBDt3LlTDRo0UEJCgoYNG6Z9+/aVRK0lhuvsoKhK6jo7hB1IXGcHKKzCfn67fDbWf//7X/n4+Di1161bV7/99psruwQAACgRLl1nJycnJ9+vYzh69KjTISYAAABPc2lmp2vXrpo9e7beeOMNSZeuhXP27FlNmDChRL5CAgBQdrn7sC6HxeBuLoWdWbNmqXPnzmratKkuXLig6Oho7du3T9WqVdOKFSvcXSMAAIDLXAo74eHh2rFjh1asWKFt27YpJydHMTExevDBB+Xv7+/uGgEAAFzm8nV2/P39NXToUA0dOtSd9QAAALiVS2Fn6dKlV3x88ODBLhUDAADgbi6FnZEjRzrdz8rK0p9//ikfHx8FBAQQdgAAQJnh0qnnqampTrezZ8/q559/1u23384CZQAAUKa4FHbyExERoZdffjnPrA8AAIAnuS3sSFLFihV17Ngxd+4SAACgWFxas/Pxxx873TfGKDk5WXPmzNFtt93mlsIAAADcwaWwc8899zjdt9lsql69uu6880698sor7qgLAADALVwKOzk5Oe6uAwAAoES4dc0OAABAWePSzM6oUaMK3XfmzJmuPAUAAIBbuBR2tm/frm3btunixYtq3LixJGnv3r2qWLGibr75Zkc/m83mnioB4Bpy0C/a5W3rXVjuxkoAa3Ap7PTp00dBQUFasmSJqlSpIunShQYffvhhdezYUXFxcW4tEgAAwFUurdl55ZVXNHXqVEfQkaQqVapo8uTJnI0FAADKFJfCTnp6uo4fP56n/cSJEzpz5kyxiwIAAHAXl8JOv3799PDDD+uDDz7Q0aNHdfToUX3wwQeKiYnRvffe6+4aAQAAXObSmp0FCxZo9OjRGjhwoLKysi7tyMtLMTExmjFjhlsLBAAAKA6Xwk5AQIDmzZunGTNmaP/+/TLG6Prrr1dgYKC76wMAACiWYl1UMDk5WcnJyWrUqJECAwNljHFXXQAAAG7hUtj5448/1KVLFzVq1Eg9e/ZUcnKyJGnYsGGcdg4AAMoUl8LO008/LW9vbx0+fFgBAQGO9gEDBuiLL75wW3EAAADF5dKanTVr1ujLL79UrVq1nNojIiJ06NAhtxQGAADgDi7N7Jw7d85pRifX77//Ll9f32IXBQAA4C4uhZ077rhDS5cuddy32WzKycnRjBkz1LlzZ7cVBwAAUFwuHcaaMWOGIiMjtWXLFmVmZmrMmDHavXu3Tp06pf/+97/urhEAAMBlLs3sNG3aVN9//73atm2rrl276ty5c7r33nu1fft2NWzY0N01AgAAuKzIMztZWVnq1q2bXn/9dU2aNKkkagIAAHCbIs/seHt7a9euXbLZbCVRDwAAgFu5dBhr8ODBWrhwobtrAQAAcDuXFihnZmbqrbfeUnx8vNq0aZPnO7FmzpzpluIAAACKq0hh59dff1W9evW0a9cu3XzzzZKkvXv3OvXh8BYAAChLihR2IiIilJycrPXr10u69PUQ//znPxUaGloixQEAABRXkdbsXP6t5p9//rnOnTvn1oIAAADcyaUFyrkuDz8AAABlTZHCjs1my7MmhzU6AACgLCvSmh1jjB566CHHl31euHBBjz32WJ6zsVatWuW+CgEAAIqhSGFnyJAhTvcHDhzo1mIAAADcrUhhZ9GiRSVVB1Ci6o391NMlAAA8pFgLlAEAAMo6wg4AALA0l74uAgBQNh30i3Zpu3oXlru5EqDsYGYHAABYGmEHAABYGmEHAABYGmEHAABYGmEHAABYGmEHAABYGmEHAABYGmEHAABYGmEHAABYmkfDztSpU3XLLbcoKChINWrU0D333KOff/7ZqY8xRhMnTlR4eLj8/f0VGRmp3bt3O/XJyMjQk08+qWrVqikwMFB9+/bV0aNHS3MoAACgjPJo2ElISNDjjz+ub7/9VvHx8bp48aK6deumc+fOOfpMnz5dM2fO1Jw5c5SUlKSwsDB17dpVZ86ccfSJjY3V6tWrtXLlSm3cuFFnz55V7969lZ2d7YlhAQCAMsRmjDGeLiLXyZMnVaNGDSUkJOiOO+6QMUbh4eGKjY3VM888I+nSLE5oaKimTZum4cOHKy0tTdWrV9c777yjAQMGSJKOHTum2rVr67PPPlP37t3zPE9GRoYyMjIc99PT01W7dm2lpaUpODi4dAaLUlVv7KeeLqFQXP1eI6C4ytJ3Yx18uZenS0A5kZ6eLrvdftXP7zK1ZictLU2SVLVqVUnSgQMHlJKSom7dujn6+Pr6qlOnTkpMTJQkbd26VVlZWU59wsPD1bx5c0efy02dOlV2u91xq127dkkNCQAAeFiZCTvGGI0aNUq33367mjdvLklKSUmRJIWGhjr1DQ0NdTyWkpIiHx8fValSpcA+lxs3bpzS0tIctyNHjrh7OAAAoIzw8nQBuZ544gl9//332rhxY57HbDab031jTJ62y12pj6+vr3x9fV0vFgAAlBtlYmbnySef1Mcff6z169erVq1ajvawsDBJyjNDc+LECcdsT1hYmDIzM5WamlpgHwAAcO3yaNgxxuiJJ57QqlWrtG7dOtWvX9/p8fr16yssLEzx8fGOtszMTCUkJKhDhw6SpNatW8vb29upT3Jysnbt2uXoAwAArl0ePYz1+OOPa/ny5froo48UFBTkmMGx2+3y9/eXzWZTbGyspkyZooiICEVERGjKlCkKCAhQdHS0o29MTIzi4uIUEhKiqlWravTo0WrRooWioqI8OTwAAFAGeDTszJ8/X5IUGRnp1L5o0SI99NBDkqQxY8bo/PnzGjFihFJTU9WuXTutWbNGQUFBjv6zZs2Sl5eX+vfvr/Pnz6tLly5avHixKlasWFpDAQAAZVSZus6OpxT2PH2UX1xnB7gyrrOD8qhcXmcHAADA3Qg7AADA0gg7AADA0gg7AADA0gg7AADA0gg7AADA0gg7AADA0gg7AADA0gg7AADA0gg7AADA0gg7AADA0jz6RaCAFfH9VgBQtjCzAwAALI2wAwAALI2wAwAALI01Oyiz6o391NMlAAAsgJkdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaV6eLgAA4HkH/aJd3rbeheVurARwP2Z2AACApRF2AACApRF2AACApbFmBwBQptQb+6nb9nXw5V5u2xfKL2Z2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApXk07HzzzTfq06ePwsPDZbPZ9OGHHzo9bozRxIkTFR4eLn9/f0VGRmr37t1OfTIyMvTkk0+qWrVqCgwMVN++fXX06NFSHAUAACjLPBp2zp07p1atWmnOnDn5Pj59+nTNnDlTc+bMUVJSksLCwtS1a1edOXPG0Sc2NlarV6/WypUrtXHjRp09e1a9e/dWdnZ2aQ0DAACUYV6efPIePXqoR48e+T5mjNHs2bM1fvx43XvvvZKkJUuWKDQ0VMuXL9fw4cOVlpamhQsX6p133lFUVJQkadmyZapdu7bWrl2r7t27l9pYAABA2VRm1+wcOHBAKSkp6tatm6PN19dXnTp1UmJioiRp69atysrKcuoTHh6u5s2bO/rkJyMjQ+np6U43AABgTWU27KSkpEiSQkNDndpDQ0Mdj6WkpMjHx0dVqlQpsE9+pk6dKrvd7rjVrl3bzdUDAICyosyGnVw2m83pvjEmT9vlrtZn3LhxSktLc9yOHDnilloBAEDZU2bDTlhYmCTlmaE5ceKEY7YnLCxMmZmZSk1NLbBPfnx9fRUcHOx0AwAA1lRmw079+vUVFham+Ph4R1tmZqYSEhLUoUMHSVLr1q3l7e3t1Cc5OVm7du1y9AEAANc2j56NdfbsWf3yyy+O+wcOHNCOHTtUtWpV1alTR7GxsZoyZYoiIiIUERGhKVOmKCAgQNHR0ZIku92umJgYxcXFKSQkRFWrVtXo0aPVokULx9lZAADg2ubRsLNlyxZ17tzZcX/UqFGSpCFDhmjx4sUaM2aMzp8/rxEjRig1NVXt2rXTmjVrFBQU5Nhm1qxZ8vLyUv/+/XX+/Hl16dJFixcvVsWKFUt9PLCWg37Rni4BKBdc/V2pd2G5mysB8mczxhhPF+Fp6enpstvtSktLY/1OGVJv7KcefX7CDlCySiPsHHy5V4k/BzynsJ/fZXbNDgAAgDsQdgAAgKV5dM0OrMXTh50AAMgPMzsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSvDxdAFCSDvpFe7oEAICHEXYAAJZVb+ynbt3fwZd7uXV/KB0cxgIAAJZG2AEAAJZG2AEAAJbGmh0AgEcU5wSCeheWu7ESWB0zOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNK4gvI1zt3fCAwAQFlD2EG5UJzLygMArm0cxgIAAJZG2AEAAJbGYSwAAArJ3escD77cy637Q/6Y2QEAAJbGzA4AoNxx9aSFeheWu7kSlAfM7AAAAEsj7AAAAEsj7AAAAEtjzU45U56veMyFAQF4WnH+DrHep/xiZgcAAFgaYQcAAFgah7EAACgETncvvwg7AACUoCuGpIlX2XhimjtLuWYRdkpYeV5QDACAFRB2AAAoo4ryDzPfs1UwyyxQnjdvnurXry8/Pz+1bt1aGzZs8HRJAACgDLBE2HnvvfcUGxur8ePHa/v27erYsaN69Oihw4cPe7o0AADgYTZjjPF0EcXVrl073XzzzZo/f76j7YYbbtA999yjqVOnXnX79PR02e12paWlKTg42K21sWbn/3BRQQAoGqucyVVSh9gK+/ld7tfsZGZmauvWrRo7dqxTe7du3ZSYmJjvNhkZGcrIyHDcT0u7tNo9PT3d7fXlZPzp9n2WV+m2cp+rAaBUWeUzpCQ+X/+636vN25T7sPP7778rOztboaGhTu2hoaFKSUnJd5upU6dq0qRJedpr165dIjXiErunCwCAcqe/pwtwC/vskt3/mTNnZLcX/ClT7sNOLpvN5nTfGJOnLde4ceM0atQox/2cnBydOnVKISEhBW5TkPT0dNWuXVtHjhxx+yEwT7Py2CTGV55ZeWyStcdn5bFJjK+0GWN05swZhYeHX7FfuQ871apVU8WKFfPM4pw4cSLPbE8uX19f+fr6OrVVrly5WHUEBweXiR98SbDy2CTGV55ZeWyStcdn5bFJjK80XWlGJ1e5PxvLx8dHrVu3Vnx8vFN7fHy8OnTo4KGqAABAWVHuZ3YkadSoURo0aJDatGmj9u3b64033tDhw4f12GOPebo0AADgYZYIOwMGDNAff/yhF154QcnJyWrevLk+++wz1a1bt8Sf29fXVxMmTMhzWMwKrDw2ifGVZ1Yem2Tt8Vl5bBLjK6sscZ0dAACAgpT7NTsAAABXQtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgpotTUVA0aNEh2u112u12DBg3S6dOnC7398OHDZbPZNHv27BKrsThcGd/EiRPVpEkTBQYGqkqVKoqKitJ3331XOgUXUVHHl5WVpWeeeUYtWrRQYGCgwsPDNXjwYB07dqz0ii4kV352q1atUvfu3VWtWjXZbDbt2LGjVGotjHnz5ql+/fry8/NT69attWHDhiv2T0hIUOvWreXn56cGDRpowYIFpVSpa4oyvuTkZEVHR6tx48aqUKGCYmNjS69QFxRlbKtWrVLXrl1VvXp1BQcHq3379vryyy9LsdqiK8r4Nm7cqNtuu00hISHy9/dXkyZNNGvWrFKstmiK+nuX67///a+8vLx04403lmyBrjIokrvuuss0b97cJCYmmsTERNO8eXPTu3fvQm27evVq06pVKxMeHm5mzZpVsoW6yJXxvfvuuyY+Pt7s37/f7Nq1y8TExJjg4GBz4sSJUqq68Io6vtOnT5uoqCjz3nvvmZ9++sls2rTJtGvXzrRu3boUqy4cV352S5cuNZMmTTJvvvmmkWS2b99eOsVexcqVK423t7d58803zZ49e8zIkSNNYGCgOXToUL79f/31VxMQEGBGjhxp9uzZY958803j7e1tPvjgg1KuvHCKOr4DBw6Yp556yixZssTceOONZuTIkaVbcBEUdWwjR44006ZNM5s3bzZ79+4148aNM97e3mbbtm2lXHnhFHV827ZtM8uXLze7du0yBw4cMO+8844JCAgwr7/+eilXfnVFHVuu06dPmwYNGphu3bqZVq1alU6xRUTYKYI9e/YYSebbb791tG3atMlIMj/99NMVtz169Ki57rrrzK5du0zdunXLZNgpzvj+Ki0tzUgya9euLYkyXeau8W3evNlIuuofgNJU3LEdOHCgTIWdtm3bmscee8yprUmTJmbs2LH59h8zZoxp0qSJU9vw4cPNrbfeWmI1FkdRx/dXnTp1KtNhpzhjy9W0aVMzadIkd5fmFu4YX79+/czAgQPdXVqxuTq2AQMGmOeee85MmDChzIYdDmMVwaZNm2S329WuXTtH26233iq73a7ExMQCt8vJydGgQYP0j3/8Q82aNSuNUl3i6vj+KjMzU2+88YbsdrtatWpVUqW6xB3jk6S0tDTZbLZif3msO7lrbGVBZmamtm7dqm7dujm1d+vWrcCxbNq0KU//7t27a8uWLcrKyiqxWl3hyvjKC3eMLScnR2fOnFHVqlVLosRiccf4tm/frsTERHXq1KkkSnSZq2NbtGiR9u/frwkTJpR0icViia+LKC0pKSmqUaNGnvYaNWrk+db1v5o2bZq8vLz01FNPlWR5xebq+CTpk08+0f33368///xTNWvWVHx8vKpVq1ZSpbqkOOPLdeHCBY0dO1bR0dFl5ht/JfeMraz4/ffflZ2drdDQUKf20NDQAseSkpKSb/+LFy/q999/V82aNUus3qJyZXzlhTvG9sorr+jcuXPq379/SZRYLMUZX61atXTy5EldvHhREydO1LBhw0qy1CJzZWz79u3T2LFjtWHDBnl5le04wcyOLi2wtdlsV7xt2bJFkmSz2fJsb4zJt12Stm7dqldffVWLFy8usE9JK8nx5ercubN27NihxMRE3XXXXerfv79OnDhRIuO5XGmMT7q0WPn+++9XTk6O5s2b5/Zx5Ke0xlYWXV731caSX//82suKoo6vPHF1bCtWrNDEiRP13nvv5RveywpXxrdhwwZt2bJFCxYs0OzZs7VixYqSLNFlhR1bdna2oqOjNWnSJDVq1Ki0ynNZ2Y5ipeSJJ57Q/ffff8U+9erV0/fff6/jx4/neezkyZN50nCuDRs26MSJE6pTp46jLTs7W3FxcZo9e7YOHjxYrNoLoyTHlyswMFDXX3+9rr/+et16662KiIjQwoULNW7cuGLVXhilMb6srCz1799fBw4c0Lp160ptVqc0xlbWVKtWTRUrVszz3+SJEycKHEtYWFi+/b28vBQSElJitbrClfGVF8UZ23vvvaeYmBi9//77ioqKKskyXVac8dWvX1+S1KJFCx0/flwTJ07UAw88UGK1FlVRx3bmzBlt2bJF27dv1xNPPCHp0iFIY4y8vLy0Zs0a3XnnnaVSe2EQdnTph1yYQy7t27dXWlqaNm/erLZt20qSvvvuO6WlpalDhw75bjNo0KA8v7jdu3fXoEGD9PDDDxe/+EIoyfEVxBijjIwMl+otqpIeX27Q2bdvn9avX1+qH56e+Nl5mo+Pj1q3bq34+Hj169fP0R4fH6+77747323at2+v//znP05ta9asUZs2beTt7V2i9RaVK+MrL1wd24oVKzR06FCtWLFCvXr1Ko1SXeKun11p/n0srKKOLTg4WD/88INT27x587Ru3Tp98MEHjnBXZnhkWXQ5dtddd5mWLVuaTZs2mU2bNpkWLVrkOb23cePGZtWqVQXuo6yejWVM0cd39uxZM27cOLNp0yZz8OBBs3XrVhMTE2N8fX3Nrl27PDGEKyrq+LKyskzfvn1NrVq1zI4dO0xycrLjlpGR4YkhFMiV9+Yff/xhtm/fbj799FMjyaxcudJs377dJCcnl3b5TnJPgV24cKHZs2ePiY2NNYGBgebgwYPGGGPGjh1rBg0a5Oife+r5008/bfbs2WMWLlxYLk49L+z4jDFm+/btZvv27aZ169YmOjrabN++3ezevdsT5V9RUce2fPly4+XlZebOnev0+3X69GlPDeGKijq+OXPmmI8//tjs3bvX7N2717z99tsmODjYjB8/3lNDKJAr78u/KstnYxF2iuiPP/4wDz74oAkKCjJBQUHmwQcfNKmpqU59JJlFixYVuI+yHHaKOr7z58+bfv36mfDwcOPj42Nq1qxp+vbtazZv3lz6xRdCUceXe0p2frf169eXev1X4sp7c9GiRfmObcKECaVae37mzp1r6tata3x8fMzNN99sEhISHI8NGTLEdOrUyan/119/bW666Sbj4+Nj6tWrZ+bPn1/KFRdNUceX38+pbt26pVt0IRVlbJ06dcp3bEOGDCn9wgupKOP75z//aZo1a2YCAgJMcHCwuemmm8y8efNMdna2Byq/uqK+L/+qLIcdmzH/fxUfAACABXE2FgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsLT/B7+OlXNdDxRZAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Uz1'\"].rolling(20).mean().plot.hist(bins=23)\n",
    "df[\"Uz2'\"].rolling(20).mean().plot.hist(bins=23)\n",
    "plt.title(\"Histograms of 1 Hz w' from channels 1 and 2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "dbc05d70-6c4f-44e2-8552-1cc2c951d365",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, \"Histogram of two-second w' from channels 1 and 2\")"
      ]
     },
     "execution_count": 134,
     "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": [
    "df[\"Uz1'\"].rolling(40).mean().plot.hist(bins=23)\n",
    "df[\"Uz2'\"].rolling(40).mean().plot.hist(bins=23)\n",
    "plt.title(\"Histogram of two-second w' from channels 1 and 2\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5251a418-2aa4-4626-9127-433a8d310d39",
   "metadata": {},
   "source": [
    "# Weird that 1s and 2s averages are so different ?!\n",
    "## Let's look at lagged correlation structure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "788bacf2-13e6-41ce-ad2b-c40d0003c981",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Define function\n",
    "def crosscorr(datax, datay, nlags=10):\n",
    "    lags=[]\n",
    "    vals=[]\n",
    "    # Fill the values array\n",
    "    for lag in range(-nlags,nlags,1):\n",
    "        xcor = datax.corr(datay.shift(lag))\n",
    "        lags.append( lag ) \n",
    "        vals.append( xcor ) \n",
    "    return(lags,vals)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "69194c89-335d-413a-9b13-307b06fa4483",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, \"Lag correlation of Uz1', Uz2'\")"
      ]
     },
     "execution_count": 137,
     "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": [
    "lags,vals = crosscorr(df[\"Uz1'\"], df[\"Uz2'\"], 100)\n",
    "plt.plot(lags,vals)\n",
    "plt.title(\"Lag correlation of Uz1', Uz2'\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "ff09470e-212b-4c2b-85fe-3e6548156d7c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, \"Lag correlation of Uz1', Uz2'\")"
      ]
     },
     "execution_count": 139,
     "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": [
    "lags,vals = crosscorr(df[\"Uz1'\"], df[\"Uz1'\"], 100)\n",
    "plt.plot(lags,vals)\n",
    "plt.title(\"Lag correlation of Uz1', Uz1'\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "48168930-0515-4a09-b59b-74f49cfac6fb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, \"Lag correlation of Uz2', Uz2'\")"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xaPBSU1ODvn374p///Ger9s/MzMT48eMxfPhwHDx4EC+88AKefvppfPXVV45sJhEREcmIQxdmHDduHMaNG9fq/ZcuXYqOHTti0aJFAICUlBTs378fb7/9Nu65554Wn9PQ0ICGhgbbvysrK9vVZiJyb1X1Bqzck4MJvWOQEObv6uYQkQu4Vc3Lrl27kJaW1mjb7bffjv3798NgMLT4nIULF0Kn09l+EhISnNFUInKRbw8X4vUfTuK9TWdd3RQichG3Cl6KiooQFRXVaFtUVBSMRiNKSkpafM7cuXNRUVFh+8nNzXVGU4nIRSrrDY3+S0Tex6HdRtdDoVA0+rcQosXtEq1WC61W6/B2EZF7MJrMAACDSbi4JUTkKm6VeYmOjkZRUVGjbcXFxVCr1QgPD3dRq4jInUhBixTEEJH3cavgZejQoVi3bl2jbT///DMGDBgAjUbjolYRkTsxms3W/zLzQuStHBq8VFdX49ChQzh06BAAy1DoQ4cOIScnB4ClXmXKlCm2/WfOnIns7GzMnj0bJ06cwIcffohly5bhueeec2QziUhGjLbMC4MXIm/l0JqX/fv3Y+TIkbZ/z549GwAwdepUrFixAoWFhbZABgCSk5Oxdu1aPPvss3jvvfcQGxuLf/zjH1ccJk1E3kfKuEgZGCLyPg4NXm699VZbwW1LVqxY0WzbiBEjcODAAQe2iojkjAW7RORWNS9ERNdiYOaFyOsxeCEiWZEyL6x5IfJeDF6ISFakoMXAodJEXovBCxHJyqVuI2ZeiLwVgxcikhV2GxERgxcikhXbDLss2CXyWgxeiEhWTGZmXoi8HYMXIpIVqdaFBbtE3ovBCxHJihS0sGCXyHsxeCEiWeHaRkTE4IWIZEUaKm1gwS6R12LwQkSyIg2VFgIwseuIyCsxeCEiWbm8u4jDpYm8E4MXIpKVy7uLWPdC5J0YvBCRrFzeVcTghcg7MXghIlm5PGBh0S6Rd2LwQkSycvnkdMy8EHknBi9EJCuXT07HWXaJvBODFyKSlUaZFw6VJvJKDF6ISFYaDZVm5oXIKzF4ISJZuXxuF2ZeiLwTgxcikg0hBAwmDpUm8nYMXohINpomWjhUmsg7MXghItloOrqImRci78TghYhko2mNCwt2ibwTgxciko2mwYqBBbtEXonBCxHJhsHEzAsRMXghIhkxNinQ5VBpIu/E4IWIZKNpgS4Ldom8E4MXIpKNZqONOFSayCsxeCEi2TA16SZqWgNDRN6BwQsRyQYLdokIYPBCRDLStJuIQ6WJvBODFyKSDWZeiAhg8EJEMtI0WOFoIyLvxOCFiGSj2fIA7DYi8koMXohINpovzMhuIyJvxOCFiGSjaTcRC3aJvBODFyKSDa4qTUQAgxcikhGubUREAIMXIpKRZt1GzLwQeSUGL0QkG80Ldpl5IfJGDF6ISDY4VJqIAAYvRCQjzSepY7cRkTdi8EJEstFseQBmXoi8EoMXIpKNZgszMvNC5JWcErwsXrwYycnJ8PX1Rf/+/bFt27ar7r9y5Ur07dsX/v7+iImJwSOPPILS0lJnNJWI3FjzeV6YeSHyRg4PXlatWoVZs2bhxRdfxMGDBzF8+HCMGzcOOTk5Le6/fft2TJkyBdOnT8exY8fw3//+F/v27cOMGTMc3VQicnNSsKJQWP9tZuaFyBs5PHh55513MH36dMyYMQMpKSlYtGgREhISsGTJkhb33717N5KSkvD0008jOTkZN998M377299i//79jm4qEbk5qUDXT6MC0LwGhoi8g0ODF71ej/T0dKSlpTXanpaWhp07d7b4nNTUVOTl5WHt2rUQQuD8+fP48ssvMWHChBb3b2hoQGVlZaMfIvJM0lpGUvDCzAuRd3Jo8FJSUgKTyYSoqKhG26OiolBUVNTic1JTU7Fy5Urcf//98PHxQXR0NEJCQvDuu++2uP/ChQuh0+lsPwkJCXZ/H0TkHqTMi68UvDDzQuSVnFKwq5A6qK2EEM22SY4fP46nn34af/7zn5Geno4ff/wRmZmZmDlzZov7z507FxUVFbaf3Nxcu7efiNyD1E3k5yNlXhi8EHkjtSMPHhERAZVK1SzLUlxc3CwbI1m4cCGGDRuG3//+9wCAPn36ICAgAMOHD8crr7yCmJiYRvtrtVpotVrHvAEicitSN5Gt24hDpYm8kkMzLz4+Pujfvz/WrVvXaPu6deuQmpra4nNqa2uhVDZulkpluVAJwW9ZRN5M6iZiwS6Rd3N4t9Hs2bPxwQcf4MMPP8SJEyfw7LPPIicnx9YNNHfuXEyZMsW2/6RJk7B69WosWbIEGRkZ2LFjB55++mkMGjQIsbGxjm4uEbkxqZvI14cFu0TezKHdRgBw//33o7S0FAsWLEBhYSF69eqFtWvXIjExEQBQWFjYaM6XadOmoaqqCv/85z8xZ84chISEYNSoUXjjjTcc3VQicnO2gl210vpvZl6IvJFCeFhfTGVlJXQ6HSoqKhAcHOzq5hCRHT3xnwP4/pdC3NE3FmsOFyAhzA/b/jDK1c0iIjtoy/2baxsRkWw0naSOmRci78TghYhkw8ih0kQEBi9EJCPSDLu+HCpN5NUYvBCRbLDbiIgABi9EJCOXuo0sly4Dh0oTeSUGL0QkG9K8LlzbiMi7MXghItkwNq15MQvOvE3khRi8EJFsSMsBSMELwBFHRN6IwQsRyUbTgl0AMDF4IfI6DF6ISDakLMvlwYuBw6WJvA6DFyKSDSlQkUYbASzaJfJGDF6ISDakQMVHpYJCYdnG4dJE3ofBCxHJhjRUWq1SQKPkytJE3orBCxHJhlTzolEpoFZZUi8MXoi8D4MXIpINKVBRK5VQKS3BC7uNiLwPgxcikg2pYFetUkCjYrcRkbdi8EJEsnGp20gJtTXzYmTmhcjrMHghIlkQQtgmpFMpmXkh8mYMXohIFgyXBSkapfJSwS4zL0Reh8ELEcnC5UGKWqWwdRsZmHkh8joMXohIFi4PUliwS+TdGLwQkSxcvgCjhkOlibwagxcikgVpRWmlAlAqFVAz80LktRi8EJEsGKyZFylo0VgzLyZmXoi8DoMXIpIFKfMiBS3SaCMW7BJ5HwYvRCQLUpAi1brYCnaZeSHyOgxeiEgWpCBFClo4VJrIezF4ISJZsC3KqJK6jViwS+StGLwQkSzYFmVUWgt2OcMukddi8EJEsmCyLcpoCVpU1iCG3UZE3ofBCxHJgsHU8lBpaRQSEXkPBi9EJAtS95C6yVBpo5mZFyJvw+CFiGRBKsy1jTZiwS6R12LwQkSyYCvYtWZcbN1GLNgl8joMXohIFqTuoUvdRizYJfJWDF6ISBaaDpW21bywYJfI6zB4ISJZaDZJnZIFu0TeisELEcnCpXlepOUBpG4jZl6IvA2DFyKSBUOTodLSZHUmZl6IvA6DFyKShSsNlWbBLpH3YfBCRLLQdKi0mkOlibwWgxcikoVLQ6WlhRk5SR2Rt2LwQkSyYDS1vDwAC3aJvA+DFyKSBUOTodIaawaGQ6WJvA+DFyKSBam2ReouUimZeSHyVgxeiEgWmi8PIM2wy8wLkbdh8EJEsnBpht3GBbuc54XI+zgleFm8eDGSk5Ph6+uL/v37Y9u2bVfdv6GhAS+++CISExOh1WrRuXNnfPjhh85oKhG5KalgV9NkqLSBQ6WJvI7a0S+watUqzJo1C4sXL8awYcPw/vvvY9y4cTh+/Dg6duzY4nMmT56M8+fPY9myZejSpQuKi4thNBod3VQicmMGDpUmIiuHBy/vvPMOpk+fjhkzZgAAFi1ahJ9++glLlizBwoULm+3/448/YsuWLcjIyEBYWBgAICkpydHNJCI3Z2w6SR2HShN5LYd2G+n1eqSnpyMtLa3R9rS0NOzcubPF56xZswYDBgzAm2++ibi4OHTr1g3PPfcc6urqWty/oaEBlZWVjX6IyPNcWh5A6jbiUGkib+XQzEtJSQlMJhOioqIabY+KikJRUVGLz8nIyMD27dvh6+uLr7/+GiUlJXj88cdRVlbWYt3LwoUL8fLLLzuk/UTkPqRuI5VSWttIGm3EzAuRt3FKwa5CoWj0byFEs20Ss9kMhUKBlStXYtCgQRg/fjzeeecdrFixosXsy9y5c1FRUWH7yc3Ndch7ICLXumLBLmteiLyOQzMvERERUKlUzbIsxcXFzbIxkpiYGMTFxUGn09m2paSkQAiBvLw8dO3atdH+Wq0WWq3W/o0nIrdypbWNOFSayPs4NPPi4+OD/v37Y926dY22r1u3DqmpqS0+Z9iwYSgoKEB1dbVt2+nTp6FUKhEfH+/I5hKRG9MbG2defNSWy5ee3UZEXsfh3UazZ8/GBx98gA8//BAnTpzAs88+i5ycHMycOROApdtnypQptv0feughhIeH45FHHsHx48exdetW/P73v8ejjz4KPz8/RzeXiNxUdYNluoQgXw0AIFBrSRxX1xshBLMvRN7E4UOl77//fpSWlmLBggUoLCxEr169sHbtWiQmJgIACgsLkZOTY9s/MDAQ69atw1NPPYUBAwYgPDwckydPxiuvvOLophKRG6usMwAAgn0tl60g63/1JjMajGb4alQuaxsROZfDgxcAePzxx/H444+3+NiKFSuabevRo0ezriYi8m5V9Y0zLwE+aigVgFkAlfUGBi9EXoRrGxGRLFTWWzMvfpbvXEqlwtZ1VFnHGbiJvAmDFyJye0aTGbV6E4BLmZfL/7/KGtgQkXdg8EJEbk/qMgIu1boAQLCfJXiprGfmhcibMHghIrcnBS9+GpVtfhfgUiDDzAuRd2HwQkRur2m9iyTY2m3Emhci78LghYjcnhS8XF7vAlwaNs3MC5F3YfBCRG7v0jDpJpkXW80Lgxcib8LghYjc3qUJ6hpnXi7VvLDbiMibMHghIrd3xcyLreaFmRcib8LghYjc3qWCXWZeiIjBCxHJwLVqXhi8EHkXBi9E5Pak0URXqnlhwS6Rd2HwQkRuT5rHJbhJ5uXS8gDMvBB5EwYvROT2qhquPs8LC3aJvAuDFyJye7bMi1/LmZdqvRFms3B6u4jINRi8EJHbq7rCDLtSzYsQQFUDu46IvAWDFyJye9Kq0U0Ldn01KvioLZcxLhFA5D0YvBCRWxNCXJZ5UTd7nIszEnkfBi9E5NYajGYYTJZ6lqaT1AFcnJHIGzF4ISK3Jo0kUiqAAB9Vs8eDbIszMvNC5C0YvBCRW5OCkkCtGgqFotnjzLwQeR8GL0Tk1q60rpEkmBPVEXkdBi9E5NYurWvUcvASxInqiLwOgxcicmtSUNJ0aQCJbWVpzvNC5DUYvBCRW7tW5uXSUGlmXoi8BYMXInJrthWl/a6ReWHNC5HXYPBCRG7NVrB7pcyLbag0My9E3oLBCxG5tUvdRlfKvHCeFyJvw+CFiNzapYLdK9W8WLuNWPNC5DUYvBCRW2PmhYiaYvBCRG7tmpPUWQt5WfNC5D0YvBCRW2tt5kVvNKPBaHJau4jIdRi8EJFbk4KXK9W8BGnVkJY84nBpIu/A4IWI3JpUsHulzItSqUCgD5cIIPImDF6IyG1V1Rts0/5HBGmvuJ/0WFFFvVPaRUSuxeCFiNxWdmktACAi0OeK3UYAkBwRAADILK1xSruIyLUYvBCR28oosQQjUnByJbbg5QKDFyJvwOCFiNyWFIy0OngpYfBC5A0YvBCR28osqQYAJDF4IaLLMHghIrclBSOdWhm85JTVwmgyO7xdRORaDF6IyC0JIWzBS3JE4FX3jQ72ha9GCaNZIO9inTOaR0QuxOCFiNxSWY0elfVGKBRAYrj/VfdVKhVICmfXEZG3YPBCRG5JCkJidX7w1aiuuX+nDpbgJYPBC5HHY/BCRG6ptcOkJZcyL9UOaxMRuQcGL0TkljLbGLxwxBGR92DwQkRuKauNwYvUbZRVUuuwNhGRe3BK8LJ48WIkJyfD19cX/fv3x7Zt21r1vB07dkCtVqNfv36ObSARuR1b5qVDazMvlhFJ+eV1qDeYHNYuInI9hwcvq1atwqxZs/Diiy/i4MGDGD58OMaNG4ecnJyrPq+iogJTpkzB6NGjHd1EInIzZrNo9RwvklB/DXR+lvWPsrjGEZFHc3jw8s4772D69OmYMWMGUlJSsGjRIiQkJGDJkiVXfd5vf/tbPPTQQxg6dKijm0hEbqawsh4NRjM0KgXiQvxa9RyFQsE1joi8hEODF71ej/T0dKSlpTXanpaWhp07d17xecuXL8e5c+cwb968a75GQ0MDKisrG/0QkbxJwUdCmD/UqtZfpqTghcOliTybQ4OXkpISmEwmREVFNdoeFRWFoqKiFp9z5swZPP/881i5ciXUavU1X2PhwoXQ6XS2n4SEBLu0nYhcRxru3NouIwlHHBF5B6cU7CoUikb/FkI02wYAJpMJDz30EF5++WV069atVceeO3cuKioqbD+5ubl2aTMRuU6mdcRQa0caSaT9sxi8EHm0a6c22iEiIgIqlapZlqW4uLhZNgYAqqqqsH//fhw8eBBPPvkkAMBsNkMIAbVajZ9//hmjRo1q9BytVgutVuu4N0FETidlXq61plFTzLwQeQeHZl58fHzQv39/rFu3rtH2devWITU1tdn+wcHBOHLkCA4dOmT7mTlzJrp3745Dhw5h8ODBjmwuEbmJtk5QJ5H2L63Ro6LWYPd2EZF7cGjmBQBmz56Nhx9+GAMGDMDQoUPxr3/9Czk5OZg5cyYAS7dPfn4+Pv74YyiVSvTq1avR8yMjI+Hr69tsOxF5Jr3RjFzrytBtDV4CtGpEBmlRXNWAzNIa9PMPcUALicjVHB683H///SgtLcWCBQtQWFiIXr16Ye3atUhMTAQAFBYWXnPOFyLyHrkXa2EyC/hpVIgKbnuXcHJEgCV4KalGv4QQ+zeQiFxOIYQQrm6EPVVWVkKn06GiogLBwcGubg4RtdGGE+cx/aP96BkTjLXPDG/z8+eu/gWf7c3F06O7YvaY1hX+E5HrteX+zbWNiMittHVZgKZYtEvk+Ri8EJFbyWjjsgBNSSOUpBFLROR5GLwQkVuRZtdNCr/e4MXfdhwP6xUnIisGL0TkVtrbbZQQ5g+lAqjRm3ChqsGeTSMiN8HghYjcRq3eiKLKegDX322kVasQH2rNvrDuhcgjMXghIreRZV0WINRfgxB/n+s+Dot2iTwbgxcichvXO7NuUwxeiDwbgxcichvSCKEkOwUvGQxeiDwSgxcichv55ZZlARKsNSvXKyHMDwBQYD0eEXkWBi9E5DYKyi3FunEhfu06TmwIgxciT8bghYjchhRsxNopeLlYa0Ct3tjudhGRe2HwQkRuQQhxWfDi265jBftqEKS1rDsrZXOIyHMweCEit1BZZ0SN3gQAiNG1L/MCADHWAIhdR0Seh8ELEbkFqVg3LMAHfj6qdh9P6joqrGDwQuRpGLwQkVuQgoz2dhlJpOAln91GRB6HwQsRuQVbvYsduoyASyOW2G1E5HkYvBCRW5AyJO0daSSJZc0Lkcdi8EJEbsFeI40kUtFvYQW7jYg8DYMXInIL9prjRRJnq3mpgxDCLsckIvfA4IWI3IK9g5eoYF8oFIDeaEZpjd4uxyQi98DghYhczmgy43xVA4D2Lw0g8VErERmkBcC6FyJPw+CFiFyuuKoBJrOARqVAh0Ct3Y7LNY6IPBODFyJyOSm4iNb5QqlU2O24l4IXFu0SeRIGL0TkctLsuvZYFuBysToOlybyRAxeiMjlpMyIvepdJLbMC5cIIPIoDF6IyOXsPceLhEsEEHkmBi9E5HKX1jWyb+ZFyuQUstuIyKMweCEil8surQUAxIf62/W48aGW4KW4qgG1eqNdj01ErsPghYhcymgyI6u0BgDQuUOAXY8d4u+D8AAfAEDGhRq7HpuIXIfBCxG5VE5ZLQwmAT+Nym4rSl+uc4dAAMC5C9V2PzYRuQaDFyJyqbPFlqCiU4cAu87xIukcGdjodYhI/hi8EJFLnbsgdRkFOuT4UlcUMy9EnoPBCxG5lJQR6RLpmOClCzMvRB6HwQsRuZSUEXFc5sVy3MySGhhNZoe8BhE5F4MXInIZIYQteHFU5iUuxA++GiUMJoHci5zvhcgTMHghIpe5UNWAqnojlAogKcK+c7xIlEoFOkWw64jIkzB4ISKXOWvNunQM84dWrXLY60hZHRbtEnkGBi9E5DLnih1b7yKRjs/MC5FnYPBCRC4jDZN2VL2LhJkXIs/C4IWIXOasszIvkQG21xNCOPS1iMjxGLwQkcvYhkk7OPOSFB4ApQKoqjfiQnWDQ1+LiByPwQsRuURJdQMKK+oBAF0cnHnx1aiQGG7JvhzLr3ToaxGR4zF4ISKX2HzqAgCgV1wwdP4ah7/e0M7hAIBNp4od/lpE5FgMXojIJTaePA8AGNUjyimvN7pHJABgw4li1r0QyRyDFyJyOr3RjK2nSwBcCiocLbVzBLRqJfLL63D6PEcdEckZgxcicrr9WWWobjAiIlCL3nE6p7ymn48Kqdauo40n2XVEJGcMXojI6TZYg4eR3TtAqVQ47XVHpVi6qKQuKyKSJ6cEL4sXL0ZycjJ8fX3Rv39/bNu27Yr7rl69GmPGjEGHDh0QHByMoUOH4qeffnJGM4nISaTMx+gU53QZSUZZu6jSsy/iYo3eqa9NRPbj8OBl1apVmDVrFl588UUcPHgQw4cPx7hx45CTk9Pi/lu3bsWYMWOwdu1apKenY+TIkZg0aRIOHjzo6KYSkRNkXKhGZkkNNCoFbu7awamvHRfihx7RQTALYMvpC059bSKyH4cHL++88w6mT5+OGTNmICUlBYsWLUJCQgKWLFnS4v6LFi3CH/7wBwwcOBBdu3bFa6+9hq5du+Lbb791dFOJyAnWHbd02QzpFI5Ardrpry9lX6R2EJH8ODR40ev1SE9PR1paWqPtaWlp2LlzZ6uOYTabUVVVhbCwsBYfb2hoQGVlZaMfInJfPx4rAgCk3RDtkte/3fq6m04Vo95gckkbiKh9HBq8lJSUwGQyISqq8TwOUVFRKCoqatUx/vrXv6KmpgaTJ09u8fGFCxdCp9PZfhISEtrdbiJyjPOV9TiYUw6FAri9p3Pmd2mqT7wOMTpf1OpN2H6mxCVtIKL2cUrBrkLReDSBEKLZtpZ89tlnmD9/PlatWoXIyJYL++bOnYuKigrbT25url3aTET297M163JjQggig31d0gaFQmHLvkhZICKSF4cGLxEREVCpVM2yLMXFxc2yMU2tWrUK06dPxxdffIHbbrvtivtptVoEBwc3+iEi9yQFC2N7uabLSCIFL+tPnIfRZHZpW4io7RwavPj4+KB///5Yt25do+3r1q1DamrqFZ/32WefYdq0afjPf/6DCRMmOLKJROQk5bV67M4oA3ApeHCVgUmhCAvwQXmtAXszy1zaFiJqO4d3G82ePRsffPABPvzwQ5w4cQLPPvsscnJyMHPmTACWbp8pU6bY9v/ss88wZcoU/PWvf8WQIUNQVFSEoqIiVFRUOLqpRORA608Uw2QW6BEdZFvh2VXUKiVus84xw64jIvlxePBy//33Y9GiRViwYAH69euHrVu3Yu3atUhMTAQAFBYWNprz5f3334fRaMQTTzyBmJgY288zzzzj6KYSkQOlZ18EAIx00lpG1yItCLk/66KLW0JEbeWUSRYef/xxPP744y0+tmLFikb/3rx5s+MbREROl19eBwBIjnBt1kUitaOgos7FLSGituLaRkTkFPkXawEA8SF+Lm6JRWyIZbRTea0BNQ1GF7eGiNqCwQsROZwQwpZ5iXWT4CXIV4NgX0vyWWobEckDgxciFyir0WPL6Qswm4Wrm+IUZTV61BssQ5JjQlwzv0tL4kL9AQD5F70neDmQcxGZJTWubgZRuzB4IXIgvbH5HCIVtQbc+d4OTP1wLxZ8dxxCeH4AI2U2IoO00KpVLm7NJXHWLFCel2RevkrPw92Ld2L837fhZFHzpVT0RrNXfB5J/hi8EDnI4s1n0fPPP2LW5wdRXqsHAJjNArO/OIScMkv9x4qdWVi2PdOVzXSKAmtwEBfqHl1Gknhrewq8IHjZebYEf/zqFwBAncGEmZ+ko7LeAMAStLyz7jR6zfsJT312ECYvyQiSfDl/SVciL/D1wTy8+eMpAMA3hwqw41wpJvaJQXFlAzacLIaPWon7+sdj5Z4cvLr2BJIjAjA6xTVr/ThDnrVbJs5N6l0kUns8vdsos6QGv/00HUazwO03ROFofiWySmsxY8V+9I7XYcfZEpwsqgIAfPdLISKDfPHnST1d3GqiK2PmhcjO9mSU4g9fWr7h3nNTPDp3CMCFqgYs35GF748UAgBe+VUvvHJnL/x6cEcIAfz5f8c8eoVjqdvI3YIXqXjY0wt2X/3+OKrqjeifGIq/P3AjFv/6JviolNibVYZl2zNxsqgKof4aPDY8GQDw4Y5MfLQzy7WNJroKZl6I7EgIgblfH4HBJDC+dzTeurcP9CYz/pueh4LyOtQbTOgeFYTJAy2rn/9pQk9sOFGM/PI6fLQzC78d0dnF78AxpMyGu3UbSe3x5MzLrnOlWH+iGCqlAm/e2we+GhX6JoTgg6kDsOmUJQsY6u+De26KR4cgLUIDfPDmj6fwyvfHMbFPDMIDta5+C0TNMHghsqMDOeXIuFADP40Kb9zTB0qlAr5KFR4ektji/n4+KsxJ64bff/kL/rnpLCYPSEBogI+TW+147pp5kdpzvqoeeqMZPmrPSkabzQKvrT0BAHhoUEd07hBoe+yWbh1wS7cOzZ7zuxGdsfZIIY7mV2LN4QI8MizZae0lai3P+kslcrHVB/IAWFZNDvLVtOo5d98Ujx7RQaiqN+IfG884snkuk++mBbsRgT7QqpUQAiiqqHd1c+zu218KcCS/AoFaNZ65rWurnqNQKHDPTfEAgNUH8h3ZPKLrxuCFyE7qDSZ8e7gAAGwX/9ZQKRV4YXwKAGDlnhwUV3nWTbSmwYjyWsuoFnfLvCgUiktFux5W92IyC/x9gyUY/u0tnRDRhu6fO/rGQq1U4Eh+BU6fr3JUE4muG4MXIjvZcKIYlfVGxOh8MbRzeJueO7xrBG7sGAK90YzlO7Ic00AXkYYhB/mqW52NciZPLdpdd7wIGRdqEOyrxrRhSW16bnig1raA5lfpeQ5oHVH7MHghspOvrF1Gd90YB5VS0abnKhQK/M5arPvprmzb/BueIM9N610knjhcWgiBJZvPAQCmDE26rqBRyh5+fTAfRlPzyRaJXInBC5EdVNYbsOX0BQCWGpbrcVtKFLpEBqKqwYiVu3Ps2TyXkoKCeDerd5HYRhyV17q4Jfaz61wpDudVQKtWtjnrIhnZowNC/DUormrAvqyL9m0gUTsxeCGyg6N5FTCZBeJD/dAlMvDaT2iBUqnATGv2Zdn2TI+Z98VdRxpJPLHmZckWS9bl/oEJbap1uZxWrcKwzhEAgEO55fZqGpFdMHihFnF68LY5kl8BAOgdp2vXcX7VLxZxIX4oqW7AZ3s9I/virnO8SDxtrpf07IvYdqYEKqUCjw3v1K5j9bJ+no9aP9/UOrx+Oh6DF2qmos6AMX/bgrGLtuJscbWrmyMLv0jBS3z7gheNSonHR1qyL4s3n/OI7ItUsBvr5pmXgvJ6j1jle9H60wCAe2+KR0KYf7uO1cf6ef4lv7y9zfIK5bV6PLJ8Lwa8sg7HC5ovfEn2w+CFmlm5JxsZF2pwsqgKd723A5tOFTd6vMFo8oiLvD0dtVPmBQDu65+AuBA/XKhqwMo98s++SItQxoe270bqKNE6X6iUCuhNZhRXNbi6Oe2yP6sM286UQK1U4MlRXdp9vF6xls9zblmdbXFRsmj6xeJscRXufG8HNp26gIu1Bvxjg2fO2eQuGLxQI/UGEz7cngUAiNX5oqrBiEeW78P0Ffvwv0P5+O0n+5Hy0o948Zujrm2oG6moNSC71HKDtkfw4qNW2m48SzafQ51evtmXOr3JFhAkhbtn8KJRKW3Zl+zSGhe3pn3+Zs263Deg/VkXAND5a5BoPW9H2HVk8/neHPR46Ufcs2QnvkrPw9zVv2Dc37chq7QW0cG+AICfjhfh3AVmrh2FwQs18vXBfJRUNyBW54v1c0bgN0M6QqEANpwsxjOfH8JPx87DLIAv9ud65Iyk1+NogeWinhDmhxB/+0ztf2//eMSHWmpfpMUc5UjKuuj8NHb73TiCdIPOLpPviKOzxVXYcbYUGpUCT4xsf9ZFItW9MHixMJkF/rnpLABLfdGc/x7GZ3tzYTAJDO8age+fvhm3pURCCOCDbRkubq3nYvBCNiazwL+2Wv7Ypg/vBH8fNV65szc2zB6B+wckoGOYPx4c1BF94nUwmQU+3yf/Lg17+CXPclHvExdit2NqVErcfkM0AOBYgXxvGlnWTEaim2ZdJLbgRcaZl6P5lhqLfgkhdu2i6yMFL3ny/Rza09bTF5B3sQ46Pw2eHtUFnToEYFSPSPx35lB8Mn0wwgO1tgVWv0rPR3Elv+Q5AhdmJJuNJ4uRWVIDnZ8GD1hXPQaATh0C8ca9fWz//t+hfDzz+SF8vjcXT47sArXKu2Ngqd6llx26jC7XPSoIAGQ9PXuOtTstMTzAxS25usQwS/uk7j85OmX9nHSzfm7spTczL42s3JMNwJIdnZ3WHbPTujfbZ2BSGPonhiI9+yI+2Z2NOS3sQ+3j3XcdamSNdV2e+/rHI0B75bh2bK9ohAX4oKiyHhtPFl9xP28hjcTo086RRk11i5aCF/n2m9syL3aov3CkS5kX+QYvZ6zBS/do+wYvN1iDl7yLdbhY491Fu/nldbZr3kODO15136mpSQAs11UhOMDB3hi8EABLoe6GE+cBABP7xl51X61ahfsGWGaR/WhXllePPCqv1SO3zDIUWBqZYS9drZPdXahqQJlMbxpSzUtHt+82smReskprZHujcVTmReensRVbe3v25ZNd2TALILVzODp3uPpklKN7REKrViK7tBbHOGza7hi8EABg86li1OpNiAvxQ99WZBAeGmQp5N1xthQPf7gHhRWeMcFXW+04WwrA8s1d52/fRQcDtGrblPpy7TqSMi9Jbt5t1NGaGaqqv7QCtpzUNBhtQbS9gxcA6B0fAgDYfrbE7seWg1q9ES98fQRLrTMX/3pw4jWfE6BVY2R3y+KWci66d1cMXggA8P2RIgDA+N7RUCiuvahgYngA3rinD3w1Suw4W4pxf9+GXBmP1LgeBeV1eOl/liHjY1KiHPIacq57MZjMKCi3FCu6e8Gun48KUcGWafTlOOLojHUyyYhALcIC7D+qK62n5fP9wbYM7DpXavfju7MGown3LNmF/1jnXHpseDLG945u1XMn9IkBAKw9UijbjJ67YvBCjbqMxveOafXzJg9IwPdPD0e3qECU1xrwHw+Zzr419EYznvjPAZTV6HFDbDCeu90xBXmX6l7kF7zkX6yDySzgq1EiMuj61tdxpktFu/IbcXTaVu9yfetqXcvEPjG4+8Y4mAXw1GcHvWoEzaaTxThRWAmdnwYrZwzGixN6tuoLHgCMYteRwzB4IWw+dcHWZdQvIaRNz+3cIRCzbusGAPjmYL7X1L/8e1sGDuaUI9hXjSW/7g9fjcohr2PLvBTJr2j3UrFuQKsv9q4k56Ld00WOqXeRKBQKvHpXb/SIDkJJdQP+5EWTVH51IB8A8MCgBAzrEtGm517edbSWXUd2xeCFsOaw5Y+ztV1GTY3qEYlgXzUKK+qxO8M7UsqbrCMO/jC2h0OLUaWb0anzVbJLO0vFuu7eZSSRc/AiFet2d1DwAli61t66ty8AYNuZEhhMZoe9lrsoq9Hb/tbvvjH+uo4hdR2tOVzgNV/unIHBi5crrqzHz8csXUZ333R9f5y+GpVthJL0LcWTNRhNtoUYb27jN7G26tQhAEqFZbFMua27k1Uir+ClY7j8u426OjB4AYAbYoOh89OgzmDCiULP7wb59nABjGaBXnHB1z0E/baUKAT7qpF3sQ5bzlywcwu9F4MXL/f5vlwYzQL9E0OREhN83ce556Y4AMAPRwtRqzfaq3lu6Wh+JfRGM8IDfBx+Y/bVqJAUYbmpniqSV91LTpk0u657jzSSJMl0iYCKWgPOV1oC225Rjql5kSiVCtzUMQSAZWp8T7f6QB6A68+6AJaM1T39Lc9fuTvbLu0iBi9ezWgy4zNrke1vhlx9wqVrualjKBLD/VGrN+EH68glT3XAetG+KTHUKbUcch1xlF0qr8yLVLB7oapBVgH46WLL5yIuxA9BvvYdrt+S/omhADw/eDlbXIXDeRVQKRW4o9/V5766Fmlo9caTxcgv985pJeyNwYsX23iyGIUV9Qj112Bcr9aPMmqJQqHAfdZvF//YeKbZcvGeRLpoSxdxR5PqXk7KKPNiNgtbBsPd53iR6Pw1CLHO1SOnupeTtmJdx2ZdJDdZP/cHPDx4efPHUwCAkd0jERHYvtFyXSIDMbRTOMwC+GyP94zKdCQGL17sU+sf0eQBCXYZLTNtWDKigrXILq3Fv7d65mqqQgik5zg3eJGWHdiXVeaU17OHM8XV0BvN8FEpEaPzdXVzWi3Z2kUnp0UI92ZaPhfSRHKO1jc+BCqlAgUV9Sjw0CzC5lPF+Pn4eaiVCvxhrH2mQfjNEEv25fN9udAbPb/Y2dEYvHip7NIabD1tKR671hodrRWoVePFCT0BAO9tPou8i/L59tpaeRfrcKGqARqVwrZgnaMN7hQOlVKB7NJa2UwE+K11naxbunWQ1cKdo6zDWr/9pcDFLWkds1lgh3XWW0cXj0sCtGqkxFiygQdyPC/70mA04eVvjwMApqUm2W34edoNUegQpEVJdQN+Pu7ZXevOIJ+rCtmVNFvkLd062LWgclKfGAzpFIZ6gxl/+e643Y7rLqQuoxtidQ6b26WpQK0aN1rn35HD9OxCCNsin+2tFXC2SdZRczvPlaKk2v1Hd50oqkRZjR7+Pqo2z9HUHv07em7dywfbMpFZUoMOQVo8c1tXux1Xo1LigYEJAIBPWbjbbgxevFC9wYQv9ucCAH5jp6yLRKFQ4OU7ekGlVOCnY+ex5bRnDQ10dr2LRJocSw7By+G8CuSU1cJPo8JtKZGubk6bJEUEoG+8DiazkMWkYlLWZXByGHzUzruce2rdS355Hf658SwA4IXxPexeAP3goI5QKoDdGWU4WyyfGjZ3xODFC/1wtBAXaw2I0fliVA/731y6RwdhmnU5+JfXHEOD0XOKd/e7KHi5uasleNl5tsTtJ7pac8iSdRnTMwr+PmoXt6btpOyL9D7c2XbrwqA3d+3g1NeVPv/HCiplNTLrWl77/gTqDCYMTArFnf3i7H782BA/jOphWSfq090s3G0PBi9eSPqjeXBQR4fVIzxzW1dEBGqRUVKDZdszHfIazlZa3WCbmGtAknODl34JIQjwUeFirQHH3XhyMJNZ4DtrvcgdfeXVZSSZ1DcWCoUlUHXnuq0Gowl7M63Bi5PqXSRxIX6IC/GD0SxsBcNyt/1MCb4/UgilAnj5jl4OmwZBmpbiqwN5HhX4ORuDFy9ztrga6dkXoVYqbP2vjhDsq8EL43sAAN7dcBaV9QaHvZaz7LSuptsjOgiRQc4dQaNRKTG4UziAS10F7mhvZhmKqxqg89Pglm7OzQbYS1SwLwYnhwEAvvvFfbuODmSXo95gRkSg1mnDpCUKhQLDurj/57EtXv/xBABgytAk9Iy9/gk7r+WWrh3QMcwfVfVG/HiUhbvXi8GLl1lvXT06tUsEIoMdewO+68Y4JIX7o85gwq5z8l/zaPsZ547qaEqqe/l8Xy5e/f44vtiX63brHW0+bVkH5raUKKfWYNibNO/RllPuV7O19fQFLPzhBP627jQA4OYu4S5Z+FLqqtp2Rv7BS2FFHY7mV0KpAJ4ebb8i3ZYolQrcaS1k33Ci2KGv5cnke3Wh67LBGrw4o5BSoVDYvn1vl/kFTghhK5Yd1tU1wcuIbpbXzSypwb+3ZeIPX/2C3RnulbLfaa3BGO6i35G9SDVG6dkXUad3n5qt8lo9Zny0H+9vycBe67w/I7q7JsOV2tmSeTlZVIULMlt3qynp+tQ7PgRhAT4Of71RKZa6ly2nL3DOl+vE4MWLXKzR20bLOKJQtyU3y2iUzNVkldYiv7wOPiqlrUvB2bpEBmHpb/rj6dFdcaN1fRl3mo/kYo0eRwssk7tJNza56hQRgBidL/QmM/Znu0+A+NOxIuhNZsSF+OGpUV3wyp29MKmPa2qLIgK16GldD23nOXn/fUvXp+FOyqr2idMhIlCL6gajrCafdCcMXrzIltMXYBaWmo34UOesNzOks2WCtcySGtlMsNaS7dbVYG9KDHHpCJqxvaIxe0w3zB7TDQDw49EiGE3u8c1tV0YphLBMU+/oLklHUygUSO3sfoG3VIPz0OCOmJPWHb8ZkujSSQClDJucu44un+jPWRlDpVKBUT0sGTOpK5/ahsGLF9lw0tK/6qysC2Ap3O0nownWrmS7k2cxvZahncIRHuCDshq9rZDY1aQbgHTTl7ubu1qyR1JXmKuVVjfYzvXEPu1bi8xepDqsHWdL3K7+qrVOFFWipNoy0d+NHZ03ilAaMr3hRLFsf3euxODFSxhMZmw5ZQleRlv7W53F1nUk029nRpPZdtNw9nwaV6JWKTG2VzQA2IYmu5qzp6l3tGHWIOxoQQXKa/Uubg3ww9EimMwCveN0dp0Vuz0GWSfHK6yox7kLNa5uznWRrktDOoU7tch8eNcI+KiUyCmrle3vzpUYvHiJ/VkXUVlvRFiAj1OnEQeAW6yFpjvOlcDk5hOsteRkURWq6o0I8lU7bT2j1phorXX48WiRy4v+8i7WIqu0FiqlAoM7uaYmyN4ig33RNTIQQsAtRstJQaq7ZF0AwFejsi0VsCfT9b+j6+GqrGqAVo0h1towdh21nVOCl8WLFyM5ORm+vr7o378/tm3bdtX9t2zZgv79+8PX1xedOnXC0qVLndFMjyWEwKL1lmGVt6VEQqV07rDKvvEhCNKqUV5rwLEC+azWKzmUWw7AMlGcs393VzMoOQwdgrSorDdi+1nXDumVulb6xuvsPqW6K7nLsgzFVfXYY50MboIbBS+ApQ4MAA5b/07kpN5gsk2yJ33Jcqa0npYs+LLtmaiok/9cWM7k8OBl1apVmDVrFl588UUcPHgQw4cPx7hx45CT0/LUyJmZmRg/fjyGDx+OgwcP4oUXXsDTTz+Nr776ytFN9VhfpudhT2YZ/DQqPDXKsXMYtER92QRr7vANtq2ki3Lf+BCXtqMplVKB22+wXPy2n3Ht73W39Vu3p9S7SKTgZY+LZ5Hddc5SDN07Tue0YvvWkv4uDufK74vJwZxyNBjNiArWonMH5070BwD3DYhHp4gAXKhqwNs/nXL668uZw4OXd955B9OnT8eMGTOQkpKCRYsWISEhAUuWLGlx/6VLl6Jjx45YtGgRUlJSMGPGDDz66KN4++23Hd1Uj1RWo8dray0zR866rSsSwlxz4Rti7UqQ41Tih/PKAQB9ndzd1hrSGjOHcl27QN6pIssic73j3adbzR6kbsLMkhqXrtF1MKccgPPX1GoNqRv6dHEVqhvkNd29dD0alOyaif60ahVeuasXAODTPdk4mONZC106kkODF71ej/T0dKSlpTXanpaWhp07d7b4nF27djXb//bbb8f+/fthMDRPqzU0NKCysrLRD13yt3WncbHWgB7RQXj05mSXtWNgkiV42ZdV5vYLC16uusGIM8XVACxdIu6mX4LlZna0oNJldS8ms8BZ6++oW1SQS9rgKFHBWgT5qmEyC2S4sKhS6rqU5vdxJ5HBvojR+UII4Gi+vLIv0hwrg1w0dxNgyVbefVMchADmrznmsnbIjUODl5KSEphMJkRFNR7dEhUVhaKiltd0KCoqanF/o9GIkpLm/c4LFy6ETqez/SQkOG69Hrkxmsy2Ir8XxqdA48L5IG6IDYa/jwqV9UacOi+fpeCP5FVACCBW5+uWc5ckhfsjxF8DvdFsWzTS2XLLatFgNEOrVqKjizJ7jqJQKGwB2WkXfW4bjCYcL7CcW2cX27fWpa6jcpe2oy0MJrNt0s5BSa4tMn9hfArUSgUO51Ugq4Qjj1rDKXezpuk4IcRVU3Qt7d/SdgCYO3cuKioqbD+5ubl2aLFnSM++iIu1BoT4a1w+46lapbSlvOU0o6TUZdTPDb/xApa/CemGdshFNw7ppt4lMtCtCprtRQpezpyvdsnrHy+ohN5kRliAj9sGh9Lfh/T3IgfHCipRZzAhxF+DrpHOr3e5XESg1pb9WXecI49aw6HBS0REBFQqVbMsS3FxcbPsiiQ6OrrF/dVqNcLDm9+AtVotgoODG/2QhfRHMKp7pEtn4ZRI325cXfzYFu5arHs5dwlePK3LSCKt2OyqjOHlo91cUZfRGnIs2t1rLTIfkBgGpRsE3WOsI48YvLSOQ+9oPj4+6N+/P9atW9do+7p165Camtric4YOHdps/59//hkDBgyARuM5QzAdTQiBdda5A6Q/CleTvlnsyyyTzYyStuDFTdP1gDsEL5aMRNco1357dZRLmRfXBy/uqne8DgoFkF9eh+Kqelc3p1X2Zlq6jFy1VllT0nV6f3YZSqvlvdClMzj86/js2bPxwQcf4MMPP8SJEyfw7LPPIicnBzNnzgRg6faZMmWKbf+ZM2ciOzsbs2fPxokTJ/Dhhx9i2bJleO655xzdVI9y+nw1sktr4aNW2lZ2drW+CSHwUSlRXNWA7FL3XeeoTm/C7oxS7M8qQ0FFPZQKuNXkdE1JN7XMkhpcrHH+TLC2zEukZ2ZepKAsu6wW9QbnjziSQ/ASqFXbul42nCjGrnOlbn0DNpuFrft6oJsEL/Gh/ugZEwyzuLSUC12Zw1eYu//++1FaWooFCxagsLAQvXr1wtq1a5GYmAgAKCwsbDTnS3JyMtauXYtnn30W7733HmJjY/GPf/wD99xzj6Ob6hE2WLMt0gVvWOdwBGhdt5Dg5Xw1KvRN0GFf1kXszSpDUoR7THHe1GtrT+CT3dm2f3eNDHKb32FLQvx9kBwRgMySGhzKK8fI7s5bu8poMttG4XSP9szgpUOgFqH+GlysNeBscTV6OTGQLa2+FOi7c/YPsHQdnT5fjbmrjwAA+sTrsObJm13cqpadKa5GRZ0B/j4q3BDrPqUGY3pG4XhhJX46WoTkiADkXazFxD6xLh1s4a6cckV+/PHH8fjjj7f42IoVK5ptGzFiBA4cOODgVnmew7nlmP7R/kbbxvSMdlFrWjYoOQz7si5iy6kLmDzAPUeGbbOuIO2jUkJvMmN8b/ea0bQlNyaEWIKXHOcGL1mltdCbzPDTqBAX4ue013UmhUKBrlFB2JtZhtPnq5wavEgFsJ07BEDn597d5uN7x+DLA3lQKxUwmAR+ybOsCRXi7+PqpjWz2brO200dQ90qMBjTMwp/33AGG04W27Iv1fVGPDw0ybUNc0Puc9ao3aRhf1Ltmb+PCrf1dN6NrDWkQOCnY0U4X+l+fePltXpkWb/p7nlhNI7MT8Mztzl/VuK2kkZ7OHt9GakOpGtUoFsUPTqKVLR72skjjvZkWLo2pPl83NnIHpE4Ov92nFgwFonhllFRv+S5XwGvySzw6R5LZtXdllq4ITbY1v0m/TlJ13VqjMFLKwkhsONsCT7YluHqplzRMetcEE+P7oqfZt2CH5+5BZFB7jU3yQ2xOgxKCoPRLLDysq4ZdyF1tyVHBCA0wEc26/RI2ZY9mWXIu+i8eiLpZu6pI40k3V1QtGsyC3xzKB8AMKqHe30JuZIArRpqldLlReRXs+lkMXLL6qDz0+DOfnGubk4jCoUCn/3fEPzviWF4/+EBAC5d16kxBi+tdKKwCr/+YA9e/+Ekcsvcs9hUWvTwhlgdukcHoWO4e84JMW1YEgBg5Z4cl0653hJpqKc7zqZ7NQlh/kjtHA4hgK/S8532uqeLpWHSnjnSSNJVmqiu2HnBy9YzF3C+sgGh/hq3y6BeiztPWrdiZxYA4IFBCfDzUbm2MS2ICNSib0KI7Rp07kI16vTudZ10BwxeWqlnbDCGd42A0SywePNZVzenmQajyTZFe083KkBrSVrPKMTofFFao8d3hwtd3ZxG3Hkdo2uRaoj+m57rtCUYThdJ3UaenXmRMku5ZXWocdL6Pf/db5lw884b46BVu99N9mqkv5/DeeVuNS3CmfNV2H62BEoF8PCQRFc356o6BGkREegDswBOFjH70hSDlzZ4ZrSl9uG/+/OcmppvjdNF1TCaBUL8NYjVuVdXUVNqlRK/sV44PnajriMhhCyGpV7J2F7RCPJVI+9iHXZnOL72pd5gQoZ1KvMeHjrSSBIW4IMOQVoAwMkix2dfymr0tsnK7uvvnoXtV3NDbDDUSgVKqvXIu1jn6ubYfGq93ozpGeV2q3M3pVAo0DPWkn1h11FzDF7aYEBSGIZ1CYfRLPDepnOubk4jl7qMgt12Fs7LTR6QAIXCklYudpPC3byLdSir0UOjUiAlxr2zVy3x1agwqW8sAOCL/Y5fJuNUURVMZoGwAB9Eu+G6T/YmDak9XuD4ItRvDubDYBLoFRfs9pnUlvhqVLa/IXdZMkAIYQsIHxjY0cWtaR3pM+duwYs7rB7O4KWNnhndDQDwZXquW2VfpA/3DbHyqNXoEKRFL2tbt55pvuCmK0hZl5SYYPhq5JWml0hdRz8cLUKt3rEXmEufOXkEzO3lzBvJ1wctdUtyzLpI+iZY/r7dpe7lbHE1Cirq4aNWYkgn16711lq2gNlFi662xGAyY9K72/HEfw7gQpXrJiJk8NJGg5LDkNo5HAaTwDvrTru6OTaXZ17kYoR15t+tpy+4uCUWh2SwjtG19I3XISHMDw1GM7Y5OCiUPnNyzAxcjxuclMIvqqjHkfwKKBTuN5S3LaS/I3cZcbTFep0ZnBzmloW6LZE+cycLK2E0mV3cGov/7MlBZkkN9mSUuvT3yODlOvxxbA8Alm9Hx5yQQr4Wk1ngRKGlH15WwUt3S/Cy7cwFmJxUYHo1h2Vc7yJRKBS4LcWyRsp6By/wJrdsX3tJf1uniqpgcOCNZMNJy3nrlxCCiECtw17H0W60zj10JL/CLW68UvAywk2WS2mNxDB/BGrVaDCabfVlrlRZb8DfN5wBAMy6rRsCXTjzOIOX69A3IQST+sZCCGDh2pMur6bPLKlBncEEX40SyRHyGbLaLyEEQVo1LtYacCTftUGgySxw1BqISuluuRpjDV42nix2WFBoMgvbCAg5BcztkRDqjyCtGnqT2TayzxGkoFMKQuWqU0QgArVq1BvMOOPA31dr1OlNttXs5RS8KJUKpMRYiuHd4Yvy0s3nUFajR6cOAbh/oGu7NBm8XKc/3N4dPioltp8tcfkS5tKHukd0MFQymuVUo1JiWJcIAK7vOsosqUG9wSy7ALAlA5PDEOyrRmmNHgdzHDM7Z8aFatQbzPD3USE53D3XqLI3pVKBFAfXvdTqjdhxzjJSTO7By+U33hMurtnYk1kKvdGMWJ0vukTK6++7p7Xw+Vi+a3+H2aU1WLY9EwDw/NgeLl9WgcHLdUoI88fUVMtw3yc/O4gfjxa5rC17rd8o3Hnl4yuRVrze4uLgRbq4dpdZANgSjUqJkdYZWdedcExgLd28U2KCPXpZgKYuFe065lvwtjMl0BvNiA/184iJ/6QRR64OXqTryy3dOsiuuFxaS0vKHLnCicJK3Ld0FxqMZgxKDsOYnq4PrBm8tMOctO4Y0zMKeqMZj69Mxxf7HD88tSmDyYy1RywTvaXd4PoPVFvd0s2SeTmYcxEXa/Qua4d0ce0Z4xnzlTi67kUa/eAtXUYSqb7nuIMyL9Kq8LelRMnuJtuSS8GL82YmbkoIgS2n5FfvIhnVIxIqpQJH8iuQ6YK6l/TsMkx+fxeKqxrQPSoI7z54o1t8Nhm8tIOvRoUlv74JDw5KgFkAz6/+xekZhO1nSnCx1oCIQC2GymT43+XiQ/2REhMMs4BtHRdXuBS8eMbNeET3DtCoFDh3oQYZF+xfbyDH0W32cPnQVXvXupnNAhutKwnLvctI0vOyzIuragMP5JQjo6QGWrUSw7pGuKQN7REeqMVwa7vXHCpw6mvnlNZixkf7UVVvxKCkMHwxcyii3GROJwYv7aRWKfHaXb1xX/94mAXw5H8OOLSYr6k1hy0f5ol9YqB2o6Xd2+KhQZbCr5V7clx2gZO+GcpxcrqWBPtqbHNZrLdz15EQwutGGkm6RAbCR6VEVb0RuWX2nTn2YG45Sqr1CNKqMSg5zK7HdpXu0UFQKoDSGr3L5gRZaV1BelLfWATLZKHVpu6wTj75v8P5TrtGVtUbMP2jfbhYa0CfeB0+enQQdH7u8/uT593OzSgUCrxyVy8MTApFVb0RUz/ci/XHzzv8Q1anN+GnY5Zamzv6xTr0tRzpzhvj4O+jwtniauzLcv7y7xdr9CiyzvLbw0OCF+DyrqNiux73SH4FymsNUCsV6OoBdRltoVEp0S3a8p63nLbv71Uq/B/RvQN81J5xafbVqJAcYSnodsVEa+W1enz3i6Vb/deD5TGrbkvSboiGVq1ExoUap0ySeDS/AlM/3IszxdWICtbi31MGuN3cOJ7xF+IGtGoVlvymPxLC/JBfXocZH+/HA//ajcp6g8Nec8PJ86jVm5AQ5ocbZTw3SZCvBr+yBl/StyRnkrqMOlrnVPAUt1mL6vZnl6HMTvVE9QYT5nxxGABwe69o2S0YaA/St+A3fjxl1xXm1x23fBFxh2JIe3Jl3cuX6XnQG83oGRMs6/mbArVq25cRKdvuCGazwNzVv2Diu9txIKccfhoV/j1lgNt0FV2OwYsdRQRq8d1Tw/G7WztDq1ZiT2YZPtqR5bDX+5+1//OOvrFuUUDVHg8Nsozc+uFIkd1utK113MPqXSRxIX7oaa0nkmop2uuNH0/iTHE1IgK1WHDHDXY5ptw8OiwZ/RNDUd1gxJwvDttlLp2MC9U4d6EGaqUCt3aPtEMr3UdPF01xL4TAf/bmAAB+PaSj7K+RUnZ9zaECh60av/1sCT7bmwuFArizXyx+fvYW9HHTGccZvNiZzk+DP47tgXmTLBf29Xa6aTRV3WC0FQdP7CPfLiNJ73gd+sbroDeZ8T8nF+5KF1VPqXe5nJR9sceoo/1ZZVhuDcbfurcPwmU8+2t7qFVK/G1yPwT4qLA3qwwf7cxq9zGluqQhncLdqq7AHlw1XPpAzkVkXKhBgI8Kv+oX59TXdoRbu3dAkFaNosp6HHTQkgvS5/CBgQlY9MCNSAhz35W3Gbw4yG0plm9Ph3PLUVxl/1WTN54sht5oRqeIAPSI9ozhvXdYLzA/H3PupH+XinU94/d4uTRr8LL1zAXUG0ztOpa0WODdN8bZ5pHxVh3D/fHc7d0BXPq9tIdU7+JpXUbApYymZWLD9n0G20K6jtzWM8ojuoO1ahVGW+8rP1inx7AnIQQ2nJDPaDcGLw4SGeyLPvGWkRibHJB9+fGo5cM7tle07NOhEulGuzerDOW1zuk60hvNOFvsWSONLndDbDCig31Rqzdhl3Xm1ushhLiU6esr38UC7WlCb8vv4Uh+BUqqr38kTWl1A9KzLYXqt3lg8BIZpEVYgA/MAjh93nl1L54YEI7tZfnM/XC0yO4DQk4WVSG/vA6+mkszn7szBi8OJEWv6+w82qNOb8Kmk5YbybhennMjSQjzR4/oIJgum+/C0XZllMJgEgjyVSM+1M8pr+lMCoUCt/Vs/2y7GSU1yLtYBx+V0jYE29tFBvvasgrbzlz//E4bTxbDLCwZirgQz/wMSr8nabI4RztbXI2MkhpoVApZTkx3JSO6dYCfRoX88jq7rwcndS3f3CUCvhr3L8Rn8OJAUopv+9n2p+wvt+V0MeoMJsSH+qFXnGdlC6RvSc5YL0pvNOPlb48BAO65Kd5jMlhNjekZDcAye+v1FvpJN51ByWHw95F/Ct5ebrWujN6em7InZgiauvsmS5fw4s3nkF9u3/lxWiL9Tod2jkCQTOd2aYmfjwqjrF22P9h5SZr1MpsgkcGLA/WMCUaszhf1BjN2nC2x23HXHrF8aMd5UJeRRLqAbzlt34CvJf/eloGMCzWICNTi2THdHPparjSkUxgCtWqcr2y47m9rUpeRJ32LtQfp97H1TMl1BYb1BhO2nbFcGzw5eLnrxjgMSgpDncGEl9ccc/jreeqwc8BSKgBY6l7s1XVUXFmPw9Yi4FEyqWdj8OJACoUCo61R7Pd2KrDadKoYP1v/MMf19pwuI0nvOJ1dajSuJbesFu9uPAMA+NOEFI8b4XE5rVplu8lez2y79QYTdmdYzoWUaSCLmxJDEahVo6xGj6PXsVjjjrMlqDOYEBfi59FLLSgUCvzlzl5QKxX4+fh52xpOjnChqsE2GmeMTLIIbTGyRyS0aiWySmvxwbZMuwQwP1onO+0br0OkG87p0hIGLw52542WdOmaQwXtmtBKCIF/bjyDR1fsQ73BjNTO4ejnpuPv2+PyGg1HrdRtNJnx7KpDqDeYMaRTmG2CPE9mq3u5ju643RmlaDCaEavzRZdI75pR91o0KiWGdbHUAG2+jq4j6XzclhLpcVnUprpHB2H6zckAgOdXH2lXkfPV/Hy8CEIAfeJ1iNbJ40bcFoFaNaYNSwIAvLr2BGatOtSuLLXeaMb7WzIAXLpfyQGDFwfrnxiK4V0jYDQLLN589rqPs3JPDt7++TSEsExzvfyRgVAqPfNiN6nPpXU8HLHS9D82nMH+7IsI1Krx5j19Pf6mAQAju1tWpj1ZVNXmINrWZdS9g1f8rtpKmlSurYuyms0C661DU6W6JE8367Zu6BoZiAtVDXjuv4ftPtmaEAIf77TM0j2xj+dlpiXPj+2B+ZN6Qq1U4H+HCvDSN0ev+1hfHchDfnkdOgRp8eAg+SyhwODFCZ4Z3RUA8N/9edeVfcktq8Vra08AAH5/e3e8eldvj56WfVByGG6IDUa9wWybIdNedmeU4t1NliDy1bt6oWO4+07CZE8h/j4YmBQKoO1dR9utNRm3dGWXUUtusXbJHcotb9NyIJaFGBsQ5KvG4E6esRDjtfj5qPDuQzdCq1Zi86kL+HBHpl2Pv+1MCU6dr4K/jwr3D5TPjbitFAoFpg1LxofTBkKhAP6bnnddU3LojWb8c6Plevi7EZ1lMcpIwuDFCQYkhdmyL+9talv2xWwW+MOXv6BWb8KgpDD8bkRnB7XSfSgUCswYbkkvr9iZhQajfQp3G4wm/PGrXyAEcF//eI+YdbMtpFEE/9mT0+qb7PnKepwproZCAaR2dv+5H1whLsQPnSICYDIL7Mkoa9VzzGaBZdstqfpbu0dCI9MV4a9Hj+hg/GliTwDAmz/Zd32oD7ZbgqHJAxI8uo5Ncku3Dnh0mNQV9wsq6tq2lt7lWZeHZLZwpff8xbjYrNus2Zf0PNukaNdiNgu88dNJ7MoohZ9Ghbfu6+OxXUVNTegdi+hgX1yoasC3h+1T7LxseyayS2sRGaTFPC9cl+eOfrEID/DBmeJqzFixH3V6S1BYUWvANwfz8ZfvjiO7tKbRc6RRcn3idND5e/7N4HpJk3o1HVVY3WDE6z+cxEc7s1BgHSIshMC8Ncew9kgR1EoFpgxNdHp7Xe03gzsitXM49EYzXv3+hF2OeaqoCltPX4BSAdsN3Rs8l9YdyREBOF/ZgGdXHUJNg7FVz6vVG7Fo/WkAwEyZZV0ABi9O0z8xDGk9o2AyC7zSij/Wsho9Zny831ZI9eKEFCSGBzi6mW7DR63E1NQkAMAH2zLaXVFfVFFvS4/OHd/DI6YLb6vIIF989OggBGnV2JtVhtF/3Yxhr2/ETa+sw6xVh7Bseybmrj7S6DnbrTdjOcy46UrS72d7k+DlnxvPYumWc5i35hhSX9+Iwa+tx6i/bsEnu7OhUAB/ndwXA5O8o8vocgqFAvMm3QCVUoEfjxXZuibb40Nr1uX2G6K9pjsYsHTFvX1fH2hUCmw8WYy7Fu9o1RfkpVsycL6yAR3D/PGbIfLKugAMXpzqhfEp0KgU2HzqAjafat4/aTIL/H39GYxdtBX9X1mHjSeLoVUr8c7kvvjNEO/7dvbQoI7w1ShxsqjKNn369Xpt7QnU6k24qWMI7vSy7qLL9YrTYdm0gfDVKFFQUY/88jqYzAJdIwOhViqw81wpjuRZhvwKIWw3lZsZvFzV0E7hUCosM7sWVlgyLFX1BqzcYyke7REdBIUCOF/ZgMwSS3Zrwa96eV3X5eW6RwfhYet1bf63x6A3mq/7WBW1BvzvsGWNqUdv9p6si6R/Yhg+/7+hiAzS4vT5atz2zlYMf3MjXvj6SItdSQXldfjX1nMAgLnjesiyhpLBixMlRQRg6tAkAMCCb4/bbhKA5Ubx8rfH8Lf1p3GyqApCWC54X85Mxd03xbuoxa6l89fgjr6WkUcr91x/4e5/9+dizeECKBTAy3f08voRM4OSw7D19yOx4pGB+OaJYdg1dxTWzR5hG53xvvWidra4GsVVDdCqlbgpMdSVTXZ7On8NelunLthx1jInzud7c1FVb0TnDgFY+/RwHPjTGHz31M34dPpgrHv2FtuN25s9e1s3hAX44GxxNV75/vh1H+erA3moN5jRIzoIA7z0s9o/MRTfPnUzhneNgEIB5JbV4T97cvDYx/sbDaXOLavFC18fQb3BjEHJYbZJ7+TG+3LnLvbU6K5YfTAfGSU1mPTP7egbr8Ot3SNRWW/Ax7ssqeQ/T+yJCX1iEBnkeXMUtNWvByfii/15+P6XQrw0sSfCAnza9PwjeRV40TqM8JnRXdHbulimt4sM9m02GdX/3dIZ3xwqwNojhcgtq7V1gQxKDpNdf7gr3NwlHIdzy7HjbAnu6BtrG0nzf7d0glKpQGiAD0Lb+Pn1dDp/Dd6+rw8eXbEfH+/KRp/4ENzbv21f1oQQtgzXrwd39OovJ1HBvvhk+mBU1Ruw61wp5nxxGHszy/DEygMY0ikc286WYNuZCxACUCiAlyb0lO3vi5kXJ9P5abDq/4bgV/1ioVEpcDivAn/fcAbLd2QBAOZPugGPDEtm4GLVNyEEveN00JvM+DI9t1XPEUIgPfsi/r7+DGZ8vA96oxmje0Ti6VFdHdxaeesZG4zhXSNgFsCsVYfwmXWYOutdWkf6PW0+VYynPzuIwop6dAjSymriL1cY1SPKNqDhha+P4NXvj2PTqWIYTK3rRtqTWYZzF2rg76Pi79oqyFeDtBui8e+pA+CjVmLDyWK8uvYEtp62BC43d4nAp9MHy/rLnELYe11tF6usrIROp0NFRQWCg917uu0LVQ34+XgR9mSU4Wh+BSYPTMBMLxgK3Vaf783B86uPIDHcH588OviqxXhms8CL3xy13XgBIDkiAN88Mcwrhk62186zJXjogz2Ntn331M3oFSffi5yzNBhN6Pvyz6g3XLrpPj+uB/+mW8FsFvi/T/bbJu0DgAGJoVjx6KCrFteXVDfgD1/+go0ni/HgoI5YeHdvZzRXVjacOI9Xvz+B5IgADO4UhtEpUejcwT1nym7L/ZvBC7m9Wr0Rg1/dgCrrEMBOEQH42/390DchpNF+Qgj86ZujWLknB0qFZQGzYV0iMLF3LIf5tsGmU8U4ll+B/PI6dAwLwMwRnWSbWna2734pwJZTFxCj80WnDoGY0CfGq+ZwaQ+DyYwfjhZhx5kSrD1SiKoGIwYlhWHFowObrWReXFmPJ/9zEHuzLs2rwyBb/hi8MHjxODvOluDv68/gQM5FGM0C8aF++OGZ4Qjy1di6iZZuOYf1J4qhUADvTO6Lu270zkJnIrn7Ja8cv/5gD6rqjegVF4wnR3bBmJ7RUCkVEEJg2vJ9tuUYUmKCMWVooqymtqeWMXhh8OKxymv1mPjuduRdrMPkAfF4aHAiFnx7DAdyygFYitDevKcP7huQ4NqGElG7HMy5iCnL9toyrglhfnhhXApKa/T40zdH4aNW4pvHh6GnB6/G7W0YvDB48Wh7M8tw/7924fJPro9aiTv7xeKRYclIieF5J/IERRX1+HhXFj7bm4OLtZb5ShQKQAjgpYk9batUk2dg8MLgxeMtXHsC72+1zD58941xeH5cj2ZDf4nIM9TqjVi6+RyWbs2A3mhGaudwfDp9sNcsl+ItGLwwePF4BpMZX6bnoXt0EG7q6J2TUhF5m5zSWmw4eR533RiHEH/OmeNpGLwweCEiIpKVtty/OYaPiIiIZIXBCxEREckKgxciIiKSFYcGLxcvXsTDDz8MnU4HnU6Hhx9+GOXl5Vfc32Aw4I9//CN69+6NgIAAxMbGYsqUKSgoKHBkM4mIiEhGHBq8PPTQQzh06BB+/PFH/Pjjjzh06BAefvjhK+5fW1uLAwcO4KWXXsKBAwewevVqnD59GnfccYcjm0lEREQy4rDRRidOnEDPnj2xe/duDB48GACwe/duDB06FCdPnkT37t1bdZx9+/Zh0KBByM7ORseO157+maONiIiI5MctRhvt2rULOp3OFrgAwJAhQ6DT6bBz585WH6eiogIKhQIhISEtPt7Q0IDKyspGP0REROS5HBa8FBUVITIystn2yMhIFBUVteoY9fX1eP755/HQQw9dMQpbuHChraZGp9MhIYFr2hAREXmyNgcv8+fPh0KhuOrP/v37AQAKRfOpm4UQLW5vymAw4IEHHoDZbMbixYuvuN/cuXNRUVFh+8nNzW3rWyIiIiIZUbf1CU8++SQeeOCBq+6TlJSEX375BefPn2/22IULFxAVFXXV5xsMBkyePBmZmZnYuHHjVfu+tFottFpt6xpPREREstfm4CUiIgIRERHX3G/o0KGoqKjA3r17MWjQIADAnj17UFFRgdTU1Cs+Twpczpw5g02bNiE8PLytTSQiIiIP5rCal5SUFIwdOxaPPfYYdu/ejd27d+Oxxx7DxIkTG4006tGjB77++msAgNFoxL333ov9+/dj5cqVMJlMKCoqQlFREfR6vaOaSkRERDLi0HleVq5cid69eyMtLQ1paWno06cPPvnkk0b7nDp1ChUVFQCAvLw8rFmzBnl5eejXrx9iYmJsP20ZoURERESey+NWla6oqEBISAhyc3M5zwsREZFMVFZWIiEhAeXl5dDpdFfdt801L+6uqqoKADhkmoiISIaqqqquGbx4XObFbDajoKAAQUFBrRqS3RZSVOjJWR1Pf4+e/v4AvkdP4OnvD+B79AT2fn9CCFRVVSE2NhZK5dWrWjwu86JUKhEfH+/Q1wgODvbID+LlPP09evr7A/gePYGnvz+A79ET2PP9XSvjInFowS4RERGRvTF4ISIiIllh8NIGWq0W8+bN8+gZfT39PXr6+wP4Hj2Bp78/gO/RE7jy/XlcwS4RERF5NmZeiIiISFYYvBAREZGsMHghIiIiWWHwQkRERLLC4IWIiIhkhcFLC1599VWkpqbC398fISEhLe6Tk5ODSZMmISAgABEREXj66aeh1+sb7XPkyBGMGDECfn5+iIuLw4IFC+COg7s2b94MhULR4s++ffts+7X0+NKlS13Y8rZJSkpq1v7nn3++0T6tOa/uKisrC9OnT0dycjL8/PzQuXNnzJs3r1n75X4eFy9ejOTkZPj6+qJ///7Ytm2bq5t0XRYuXIiBAwciKCgIkZGRuPPOO3Hq1KlG+0ybNq3ZuRoyZIiLWtx28+fPb9b+6Oho2+NCCMyfPx+xsbHw8/PDrbfeimPHjrmwxW3X0nVFoVDgiSeeACC/c7h161ZMmjQJsbGxUCgU+Oabbxo93ppz1tDQgKeeegoREREICAjAHXfcgby8PLu20+OWB7AHvV6P++67D0OHDsWyZcuaPW4ymTBhwgR06NAB27dvR2lpKaZOnQohBN59910AljUfxowZg5EjR2Lfvn04ffo0pk2bhoCAAMyZM8fZb+mqUlNTUVhY2GjbSy+9hPXr12PAgAGNti9fvhxjx461/bu1Uzm7iwULFuCxxx6z/TswMND2/605r+7s5MmTMJvNeP/999GlSxccPXoUjz32GGpqavD222832leu53HVqlWYNWsWFi9ejGHDhuH999/HuHHjcPz4cXTs2NHVzWuTLVu24IknnsDAgQNhNBrx4osvIi0tDcePH0dAQIBtv7Fjx2L58uW2f/v4+LiiudfthhtuwPr1623/VqlUtv9/88038c4772DFihXo1q0bXnnlFYwZMwanTp1CUFCQK5rbZvv27YPJZLL9++jRoxgzZgzuu+8+2zY5ncOamhr07dsXjzzyCO65555mj7fmnM2aNQvffvstPv/8c4SHh2POnDmYOHEi0tPTG53/dhF0RcuXLxc6na7Z9rVr1wqlUiny8/Nt2z777DOh1WpFRUWFEEKIxYsXC51OJ+rr6237LFy4UMTGxgqz2ezwtreHXq8XkZGRYsGCBY22AxBff/21axplB4mJieJvf/vbFR9vzXmVmzfffFMkJyc32ibn8zho0CAxc+bMRtt69Oghnn/+eRe1yH6Ki4sFALFlyxbbtqlTp4pf/epXrmtUO82bN0/07du3xcfMZrOIjo4Wr7/+um1bfX290Ol0YunSpU5qof0988wzonPnzrbrvJzPYdNrRWvOWXl5udBoNOLzzz+37ZOfny+USqX48ccf7dY2dhtdh127dqFXr16IjY21bbv99tvR0NCA9PR02z4jRoxoNPPg7bffjoKCAmRlZTm7yW2yZs0alJSUYNq0ac0ee/LJJxEREYGBAwdi6dKlMJvNzm9gO7zxxhsIDw9Hv3798OqrrzbqUmnNeZWbiooKhIWFNdsux/Oo1+uRnp6OtLS0RtvT0tKwc+dOF7XKfioqKgCg2fnavHkzIiMj0a1bNzz22GMoLi52RfOu25kzZxAbG4vk5GQ88MADyMjIAABkZmaiqKio0fnUarUYMWKEbM+nXq/Hp59+ikcffRQKhcK2Xe7nUNKac5aeng6DwdBon9jYWPTq1cuu55XdRtehqKgIUVFRjbaFhobCx8cHRUVFtn2SkpIa7SM9p6ioCMnJyU5p6/VYtmwZbr/9diQkJDTa/pe//AWjR4+Gn58fNmzYgDlz5qCkpAR/+tOfXNTStnnmmWdw0003ITQ0FHv37sXcuXORmZmJDz74AEDrzqucnDt3Du+++y7++te/Ntou1/NYUlICk8nU7BxFRUXJ8vxcTgiB2bNn4+abb0avXr1s28eNG4f77rsPiYmJyMzMxEsvvYRRo0YhPT1dFlPODx48GB9//DG6deuG8+fP45VXXkFqaiqOHTtmO2ctnc/s7GxXNLfdvvnmG5SXlzf64if3c3i51pyzoqIi+Pj4IDQ0tNk+9vw79ZrgZf78+Xj55Zevus++ffua1XhcyeVRtUQI0Wh7032EtVi3pec6wvW857y8PPz000/44osvmu17+c2tX79+ACw1JK686bXlPT777LO2bX369EFoaCjuvfdeWzYGaN15dbbrOY8FBQUYO3Ys7rvvPsyYMaPRvu54Htuipb8rV54fe3jyySfxyy+/YPv27Y2233///bb/79WrFwYMGIDExER8//33uPvuu53dzDYbN26c7f979+6NoUOHonPnzvjoo49sRauedD6XLVuGcePGNcreyv0ctuR6zpm9z6vXBC9PPvkkHnjggavu0zRTciXR0dHYs2dPo20XL16EwWCwRaTR0dHNokwpVdg0anWU63nPy5cvR3h4OO64445rHn/IkCGorKzE+fPnnfaemmrPeZUunmfPnkV4eHirzqsrtPU9FhQUYOTIkRg6dCj+9a9/XfP47nAeWyMiIgIqlarFvyt3bve1PPXUU1izZg22bt2K+Pj4q+4bExODxMREnDlzxkmts6+AgAD07t0bZ86cwZ133gnA8k09JibGto9cz2d2djbWr1+P1atXX3U/OZ9DaaTY1c5ZdHQ09Ho9Ll682Cj7UlxcjNTUVPs1xm7VMx7oWgW7BQUFtm2ff/55s4LdkJAQ0dDQYNvn9ddfd+uCXbPZLJKTk8WcOXNatf+7774rfH19GxUly8m3334rAIjs7GwhROvOq7vLy8sTXbt2FQ888IAwGo2teo6czuOgQYPE7373u0bbUlJSZFmwazabxRNPPCFiY2PF6dOnW/WckpISodVqxUcffeTg1jlGfX29iIuLEy+//LKt+PONN96wPd7Q0CDbgt158+aJ6OhoYTAYrrqfnM4hrlCwe7VzJhXsrlq1yrZPQUGB3Qt2Gby0IDs7Wxw8eFC8/PLLIjAwUBw8eFAcPHhQVFVVCSGEMBqNolevXmL06NHiwIEDYv369SI+Pl48+eSTtmOUl5eLqKgo8eCDD4ojR46I1atXi+DgYPH222+76m1d0/r16wUAcfz48WaPrVmzRvzrX/8SR44cEWfPnhX//ve/RXBwsHj66add0NK227lzp3jnnXfEwYMHRUZGhli1apWIjY0Vd9xxh22f1pxXd5afny+6dOkiRo0aJfLy8kRhYaHtRyL38/j5558LjUYjli1bJo4fPy5mzZolAgICRFZWlqub1ma/+93vhE6nE5s3b250rmpra4UQQlRVVYk5c+aInTt3iszMTLFp0yYxdOhQERcXJyorK13c+taZM2eO2Lx5s8jIyBC7d+8WEydOFEFBQbbz9frrrwudTidWr14tjhw5Ih588EERExMjm/cnMZlMomPHjuKPf/xjo+1yPIdVVVW2ex4A23VT+pLXmnM2c+ZMER8fL9avXy8OHDggRo0aJfr27dvqL1StweClBVOnThUAmv1s2rTJtk92draYMGGC8PPzE2FhYeLJJ59s9s31l19+EcOHDxdarVZER0eL+fPnu23WRQghHnzwQZGamtriYz/88IPo16+fCAwMFP7+/qJXr15i0aJF1/yW4S7S09PF4MGDhU6nE76+vqJ79+5i3rx5oqamptF+rTmv7mr58uUtfm4vT7DK/TwKIcR7770nEhMThY+Pj7jpppsaDS2Wkyudq+XLlwshhKitrRVpaWmiQ4cOQqPRiI4dO4qpU6eKnJwc1za8De6//34RExMjNBqNiI2NFXfffbc4duyY7XGz2WzLWGi1WnHLLbeII0eOuLDF1+enn34SAMSpU6cabZfjOdy0aVOLn8upU6cKIVp3zurq6sSTTz4pwsLChJ+fn5g4caLd37NCCDec8pWIiIjoCjjPCxEREckKgxciIiKSFQYvREREJCsMXoiIiEhWGLwQERGRrDB4ISIiIllh8EJERESywuCFiIiIZIXBCxEREckKgxciIiKSFQYvREREJCv/D9OhDkP4H7GcAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lags,vals = crosscorr(df[\"Uz2'\"], df[\"Uz2'\"], 100)\n",
    "plt.plot(lags,vals)\n",
    "plt.title(\"Lag correlation of Uz2', Uz2'\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73561b5c-952c-425f-958d-9cee2a33b69b",
   "metadata": {},
   "source": [
    "# Define mean and difference "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "9515c326-9c3e-4832-8375-c2c4bc8a4a59",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "wpmean=(df[\"Uz1'\"]+df[\"Uz2'\"])/2\n",
    "wpdiff=(df[\"Uz1\"]-df[\"Uz2\"])/2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "ac11d97f-d6bc-4dc6-bcde-ce029e11565f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Lag correlation of meanw, meanw')"
      ]
     },
     "execution_count": 142,
     "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": [
    "lags,vals = crosscorr(wpmean, wpmean, 100)\n",
    "plt.plot(lags,vals)\n",
    "plt.title(\"Lag correlation of meanw', meanw'\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "f5a1c8a2-7c81-42e0-8700-9864adfd3307",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Lag correlation of wpdiff, wpdiff')"
      ]
     },
     "execution_count": 145,
     "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": [
    "lags,vals = crosscorr(wpdiff, wpdiff, 100)\n",
    "plt.plot(lags,vals)\n",
    "plt.title(\"Lag correlation of wpdiff, wpdiff\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c15572d3-9f03-437e-b218-cfd2c8f04259",
   "metadata": {},
   "source": [
    "# But okay, let's rush ahead to a flux covariance\n",
    "## w'T' for example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "cb82a171-e6b1-40a3-a2db-da93f2f83c58",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1      -0.299518\n",
       "2      -0.186883\n",
       "3      -0.229988\n",
       "4      -0.049893\n",
       "5      -0.073973\n",
       "          ...   \n",
       "5241    0.004907\n",
       "5242    0.026462\n",
       "5243    0.045167\n",
       "5244   -0.076848\n",
       "5245   -0.182568\n",
       "Length: 5245, dtype: float64"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "f8c4ab2f-0827-4874-a4b6-ff329f50d790",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, \"Lag correlation of meanw', meanT'. Value at 0 is flux\")"
      ]
     },
     "execution_count": 157,
     "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": [
    "lags,vals = crosscorr(wpmean, (df[\"Ts1'\"]+df[\"Ts2'\"]/2), 100)\n",
    "plt.plot(lags,vals)\n",
    "plt.plot([0,0],[-0.3,0.3]); plt.plot([-100,100],[0,0])\n",
    "plt.title(\"Lag correlation of meanw', meanT'. Value at 0 is flux\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "420eb7d0-ea9a-4424-a783-e52afe8bce9c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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