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    "# **The Euro on Forex**\n",
    "## **Exploring Twenty Years of Volatility**\n",
    "### History\n",
    "The currency exchange market has been around since coins were first used. At the end of the 1800s the development of the gold standard fixed currency values to a certain amount of gold, allowing for an internationally stable monetary system (1). Eventually the amount of gold was not enough to keep up with the demand for currency. After World War II the Bretton Woods Accord set the US Dollar as the global fixed currency. This was an adjustable rate, but still determined by central banks and state actors (2). The US dollar was pegged to gold at the time, but during the 1970s the same problem (i.e. amount of gold vs currency in circulation) occurred with the dollar. In August of 1971 President Richard Nixon unilaterally canceled direct international convertibility of the US dollar to gold, inadvertently beginning a regime of free-floating currencies (3).\n",
    "\n",
    "### Today\n",
    "The modern foreign exchange market (Forex, FX, or currency market) is a direct broker to dealer global marketplace that determines the market value and exchange rate of currencies all over the world. It is open 24 hours a day, 5 days a week. Currencies are always traded in pairs, and the value expressed is of one currency relative to another. For example, at the end of the day on 11/19/21 the Euro to US dollar rate was 1.13, or $1.13 equals €1. All of the twenty most traded currencies are free-floating, their value is determined by political conditions, economic factors and market psychology.\n",
    "\n",
    "Forex is by far the largest financial market in the world, in 2019 having a daily volume of over $6.6 trillion (4). The Euro to US dollar (EURUSD) is the most traded currency pair, taking about 30% of the multi-billion dollar Forex turnover (5).\n",
    "\n",
    "### Methodology\n",
    "This study examines the volatility of the value of the Euro to eight other currencies. It uses the 2019 Triennial Central Bank Survey by the Bank for International Settlements to determine four currencies that represent large portions of the market and four currencies that represent small portions of the market. The highly traded currencies are the US dollar, Japanese yen, UK pound, and Australian dollar. The Israeli shekel, Phillipine peso, Malaysian ringgit, and Romanian leu comprise the group of least traded currencies.\n",
    "\n",
    "The data set used is based on daily closing values provided by the European Central Bank and compiled by Daria Chemkaeva. It is updated weekly, the version used for this study was downloaded from Kaggle in November 2021.\n",
    "\n",
    "### Summary\n",
    "Text with conclusion.\n",
    "<br><br>\n",
    "\n",
    "## **Initial Look**\n",
    "The first steps are to import the basic libraries, open the file, and take an initial look at the dataset.\n",
    "\n"
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       "      <th>Period\\Unit:</th>\n",
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       "      <th>[Philippine peso ]</th>\n",
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       "      <th>0</th>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>1.5758</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>6.5748</td>\n",
       "      <td>1.5543</td>\n",
       "      <td>1.0827</td>\n",
       "      <td>7.9184</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.163</td>\n",
       "      <td>7.4369</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.4982</td>\n",
       "      <td>7.5690</td>\n",
       "      <td>359.62</td>\n",
       "      <td>17247.33</td>\n",
       "      <td>3.8981</td>\n",
       "      <td>89.7975</td>\n",
       "      <td>155.5000</td>\n",
       "      <td>127.26</td>\n",
       "      <td>1337.90</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.4718</td>\n",
       "      <td>4.9359</td>\n",
       "      <td>10.2863</td>\n",
       "      <td>1.6883</td>\n",
       "      <td>58.947</td>\n",
       "      <td>4.5113</td>\n",
       "      <td>4.8708</td>\n",
       "      <td>90.8000</td>\n",
       "      <td>10.0510</td>\n",
       "      <td>1.6228</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.8480</td>\n",
       "      <td>9.0146</td>\n",
       "      <td>1.2250</td>\n",
       "      <td>18.7212</td>\n",
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       "      <th>1</th>\n",
       "      <td>2021-01-07</td>\n",
       "      <td>1.5836</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>6.5172</td>\n",
       "      <td>1.5601</td>\n",
       "      <td>1.0833</td>\n",
       "      <td>7.9392</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.147</td>\n",
       "      <td>7.4392</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90190</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.5176</td>\n",
       "      <td>7.5660</td>\n",
       "      <td>357.79</td>\n",
       "      <td>17259.99</td>\n",
       "      <td>3.9027</td>\n",
       "      <td>90.0455</td>\n",
       "      <td>155.3000</td>\n",
       "      <td>127.13</td>\n",
       "      <td>1342.29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.2552</td>\n",
       "      <td>4.9570</td>\n",
       "      <td>10.3435</td>\n",
       "      <td>1.6907</td>\n",
       "      <td>59.043</td>\n",
       "      <td>4.4998</td>\n",
       "      <td>4.8712</td>\n",
       "      <td>91.2000</td>\n",
       "      <td>10.0575</td>\n",
       "      <td>1.6253</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.8590</td>\n",
       "      <td>8.9987</td>\n",
       "      <td>1.2276</td>\n",
       "      <td>18.7919</td>\n",
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       "      <th>2</th>\n",
       "      <td>2021-01-06</td>\n",
       "      <td>1.5824</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>6.5119</td>\n",
       "      <td>1.5640</td>\n",
       "      <td>1.0821</td>\n",
       "      <td>7.9653</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.145</td>\n",
       "      <td>7.4393</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90635</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.5659</td>\n",
       "      <td>7.5595</td>\n",
       "      <td>357.86</td>\n",
       "      <td>17168.20</td>\n",
       "      <td>3.9289</td>\n",
       "      <td>90.2040</td>\n",
       "      <td>156.3000</td>\n",
       "      <td>127.03</td>\n",
       "      <td>1339.30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.3543</td>\n",
       "      <td>4.9482</td>\n",
       "      <td>10.3810</td>\n",
       "      <td>1.6916</td>\n",
       "      <td>59.296</td>\n",
       "      <td>4.5160</td>\n",
       "      <td>4.8720</td>\n",
       "      <td>90.8175</td>\n",
       "      <td>10.0653</td>\n",
       "      <td>1.6246</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.9210</td>\n",
       "      <td>9.0554</td>\n",
       "      <td>1.2338</td>\n",
       "      <td>18.5123</td>\n",
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       "      <th>3</th>\n",
       "      <td>2021-01-05</td>\n",
       "      <td>1.5927</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>6.5517</td>\n",
       "      <td>1.5651</td>\n",
       "      <td>1.0803</td>\n",
       "      <td>7.9315</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.227</td>\n",
       "      <td>7.4387</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.5136</td>\n",
       "      <td>7.5588</td>\n",
       "      <td>360.27</td>\n",
       "      <td>17075.10</td>\n",
       "      <td>3.9277</td>\n",
       "      <td>89.8670</td>\n",
       "      <td>156.1000</td>\n",
       "      <td>126.25</td>\n",
       "      <td>1335.85</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.5860</td>\n",
       "      <td>4.9293</td>\n",
       "      <td>10.4713</td>\n",
       "      <td>1.7036</td>\n",
       "      <td>59.020</td>\n",
       "      <td>4.5473</td>\n",
       "      <td>4.8721</td>\n",
       "      <td>91.6715</td>\n",
       "      <td>10.0570</td>\n",
       "      <td>1.6180</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.7760</td>\n",
       "      <td>9.0694</td>\n",
       "      <td>1.2271</td>\n",
       "      <td>18.4194</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>1.5928</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>6.3241</td>\n",
       "      <td>1.5621</td>\n",
       "      <td>1.0811</td>\n",
       "      <td>7.9484</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.141</td>\n",
       "      <td>7.4379</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.5330</td>\n",
       "      <td>7.5565</td>\n",
       "      <td>361.32</td>\n",
       "      <td>17062.67</td>\n",
       "      <td>3.9430</td>\n",
       "      <td>89.7890</td>\n",
       "      <td>156.1000</td>\n",
       "      <td>126.62</td>\n",
       "      <td>1332.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.3031</td>\n",
       "      <td>4.9264</td>\n",
       "      <td>10.4440</td>\n",
       "      <td>1.7065</td>\n",
       "      <td>59.058</td>\n",
       "      <td>4.5475</td>\n",
       "      <td>4.8713</td>\n",
       "      <td>90.3420</td>\n",
       "      <td>10.0895</td>\n",
       "      <td>1.6198</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.7280</td>\n",
       "      <td>9.0579</td>\n",
       "      <td>1.2296</td>\n",
       "      <td>17.9214</td>\n",
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       "  Period\\Unit: [Australian dollar ] [Bulgarian lev ] [Brazilian real ] [Canadian dollar ] [Swiss franc ] [Chinese yuan renminbi ] [Cypriot pound ] [Czech koruna ] [Danish krone ] [Estonian kroon ] [UK pound sterling ] [Greek drachma ] [Hong Kong dollar ] [Croatian kuna ] [Hungarian forint ] [Indonesian rupiah ] [Israeli shekel ] [Indian rupee ]   [Iceland krona ]   [Japanese yen ] [Korean won ] [Lithuanian litas ] [Latvian lats ] [Maltese lira ] [Mexican peso ] [Malaysian ringgit ] [Norwegian krone ] [New Zealand dollar ] [Philippine peso ] [Polish zloty ]    [Romanian leu ]   [Russian rouble ] [Swedish krona ] [Singapore dollar ] [Slovenian tolar ] [Slovak koruna ] [Thai baht ]    [Turkish lira ]   [US dollar ] [South African rand ]\n",
       "0  2021-01-08         1.5758             1.9558            6.5748            1.5543           1.0827              7.9184                 NaN            26.163          7.4369             NaN              0.90128              NaN              9.4982            7.5690             359.62             17247.33             3.8981           89.7975                155.5000      127.26         1337.90            NaN               NaN             NaN           24.4718           4.9359              10.2863              1.6883              58.947            4.5113                   4.8708       90.8000          10.0510            1.6228               NaN               NaN          36.8480                 9.0146    1.2250            18.7212      \n",
       "1  2021-01-07         1.5836             1.9558            6.5172            1.5601           1.0833              7.9392                 NaN            26.147          7.4392             NaN              0.90190              NaN              9.5176            7.5660             357.79             17259.99             3.9027           90.0455                155.3000      127.13         1342.29            NaN               NaN             NaN           24.2552           4.9570              10.3435              1.6907              59.043            4.4998                   4.8712       91.2000          10.0575            1.6253               NaN               NaN          36.8590                 8.9987    1.2276            18.7919      \n",
       "2  2021-01-06         1.5824             1.9558            6.5119            1.5640           1.0821              7.9653                 NaN            26.145          7.4393             NaN              0.90635              NaN              9.5659            7.5595             357.86             17168.20             3.9289           90.2040                156.3000      127.03         1339.30            NaN               NaN             NaN           24.3543           4.9482              10.3810              1.6916              59.296            4.5160                   4.8720       90.8175          10.0653            1.6246               NaN               NaN          36.9210                 9.0554    1.2338            18.5123      \n",
       "3  2021-01-05         1.5927             1.9558            6.5517            1.5651           1.0803              7.9315                 NaN            26.227          7.4387             NaN              0.90333              NaN              9.5136            7.5588             360.27             17075.10             3.9277           89.8670                156.1000      126.25         1335.85            NaN               NaN             NaN           24.5860           4.9293              10.4713              1.7036              59.020            4.5473                   4.8721       91.6715          10.0570            1.6180               NaN               NaN          36.7760                 9.0694    1.2271            18.4194      \n",
       "4  2021-01-04         1.5928             1.9558            6.3241            1.5621           1.0811              7.9484                 NaN            26.141          7.4379             NaN              0.90160              NaN              9.5330            7.5565             361.32             17062.67             3.9430           89.7890                156.1000      126.62         1332.03            NaN               NaN             NaN           24.3031           4.9264              10.4440              1.7065              59.058            4.5475                   4.8713       90.3420          10.0895            1.6198               NaN               NaN          36.7280                 9.0579    1.2296            17.9214      "
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       "      <td>1.7643</td>\n",
       "      <td>1.6138</td>\n",
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       "      <td>9.0302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.15</td>\n",
       "      <td>9321.63</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.9900</td>\n",
       "      <td>130.09</td>\n",
       "      <td>1366.73</td>\n",
       "      <td>4.66430</td>\n",
       "      <td>0.6654</td>\n",
       "      <td>0.4419</td>\n",
       "      <td>11.4414</td>\n",
       "      <td>4.4295</td>\n",
       "      <td>8.5900</td>\n",
       "      <td>2.1557</td>\n",
       "      <td>44.295</td>\n",
       "      <td>4.0363</td>\n",
       "      <td>1.3143</td>\n",
       "      <td>27.2075</td>\n",
       "      <td>9.1650</td>\n",
       "      <td>1.9537</td>\n",
       "      <td>188.8400</td>\n",
       "      <td>42.560</td>\n",
       "      <td>42.5590</td>\n",
       "      <td>0.3718</td>\n",
       "      <td>1.1659</td>\n",
       "      <td>6.7855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5695</th>\n",
       "      <td>1999-01-07</td>\n",
       "      <td>1.8474</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7602</td>\n",
       "      <td>1.6165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.58187</td>\n",
       "      <td>34.886</td>\n",
       "      <td>7.4431</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.70585</td>\n",
       "      <td>324.40</td>\n",
       "      <td>9.0131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.09</td>\n",
       "      <td>9218.77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0600</td>\n",
       "      <td>129.43</td>\n",
       "      <td>1337.16</td>\n",
       "      <td>4.65480</td>\n",
       "      <td>0.6627</td>\n",
       "      <td>0.4413</td>\n",
       "      <td>11.5511</td>\n",
       "      <td>4.4203</td>\n",
       "      <td>8.6295</td>\n",
       "      <td>2.1531</td>\n",
       "      <td>44.436</td>\n",
       "      <td>4.0165</td>\n",
       "      <td>1.3092</td>\n",
       "      <td>26.9876</td>\n",
       "      <td>9.1800</td>\n",
       "      <td>1.9436</td>\n",
       "      <td>188.8000</td>\n",
       "      <td>42.765</td>\n",
       "      <td>42.1678</td>\n",
       "      <td>0.3701</td>\n",
       "      <td>1.1632</td>\n",
       "      <td>6.8283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5696</th>\n",
       "      <td>1999-01-06</td>\n",
       "      <td>1.8820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7711</td>\n",
       "      <td>1.6116</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.58200</td>\n",
       "      <td>34.850</td>\n",
       "      <td>7.4452</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.70760</td>\n",
       "      <td>324.72</td>\n",
       "      <td>9.1010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.67</td>\n",
       "      <td>9337.68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.5400</td>\n",
       "      <td>131.42</td>\n",
       "      <td>1359.54</td>\n",
       "      <td>4.69940</td>\n",
       "      <td>0.6649</td>\n",
       "      <td>0.4420</td>\n",
       "      <td>11.4705</td>\n",
       "      <td>4.4637</td>\n",
       "      <td>8.7335</td>\n",
       "      <td>2.1890</td>\n",
       "      <td>44.872</td>\n",
       "      <td>4.0065</td>\n",
       "      <td>1.3168</td>\n",
       "      <td>27.4315</td>\n",
       "      <td>9.3050</td>\n",
       "      <td>1.9699</td>\n",
       "      <td>188.7000</td>\n",
       "      <td>42.778</td>\n",
       "      <td>42.6949</td>\n",
       "      <td>0.3722</td>\n",
       "      <td>1.1743</td>\n",
       "      <td>6.7307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5697</th>\n",
       "      <td>1999-01-05</td>\n",
       "      <td>1.8944</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7965</td>\n",
       "      <td>1.6123</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.58230</td>\n",
       "      <td>34.917</td>\n",
       "      <td>7.4495</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.71220</td>\n",
       "      <td>324.70</td>\n",
       "      <td>9.1341</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.80</td>\n",
       "      <td>9314.51</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.5300</td>\n",
       "      <td>130.96</td>\n",
       "      <td>1373.01</td>\n",
       "      <td>4.71740</td>\n",
       "      <td>0.6657</td>\n",
       "      <td>0.4432</td>\n",
       "      <td>11.5960</td>\n",
       "      <td>4.4805</td>\n",
       "      <td>8.7745</td>\n",
       "      <td>2.2011</td>\n",
       "      <td>44.745</td>\n",
       "      <td>4.0245</td>\n",
       "      <td>1.3168</td>\n",
       "      <td>26.5876</td>\n",
       "      <td>9.4025</td>\n",
       "      <td>1.9655</td>\n",
       "      <td>188.7750</td>\n",
       "      <td>42.848</td>\n",
       "      <td>42.5048</td>\n",
       "      <td>0.3728</td>\n",
       "      <td>1.1790</td>\n",
       "      <td>6.7975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5698</th>\n",
       "      <td>1999-01-04</td>\n",
       "      <td>1.9100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.8004</td>\n",
       "      <td>1.6168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.58231</td>\n",
       "      <td>35.107</td>\n",
       "      <td>7.4501</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.71110</td>\n",
       "      <td>327.15</td>\n",
       "      <td>9.1332</td>\n",
       "      <td>NaN</td>\n",
       "      <td>251.48</td>\n",
       "      <td>9433.61</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.4800</td>\n",
       "      <td>133.73</td>\n",
       "      <td>1398.59</td>\n",
       "      <td>4.71700</td>\n",
       "      <td>0.6668</td>\n",
       "      <td>0.4432</td>\n",
       "      <td>11.6446</td>\n",
       "      <td>4.4798</td>\n",
       "      <td>8.8550</td>\n",
       "      <td>2.2229</td>\n",
       "      <td>45.510</td>\n",
       "      <td>4.0712</td>\n",
       "      <td>1.3111</td>\n",
       "      <td>25.2875</td>\n",
       "      <td>9.4696</td>\n",
       "      <td>1.9554</td>\n",
       "      <td>189.0450</td>\n",
       "      <td>42.991</td>\n",
       "      <td>42.6799</td>\n",
       "      <td>0.3723</td>\n",
       "      <td>1.1789</td>\n",
       "      <td>6.9358</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Period\\Unit: [Australian dollar ] [Bulgarian lev ] [Brazilian real ] [Canadian dollar ] [Swiss franc ] [Chinese yuan renminbi ] [Cypriot pound ] [Czech koruna ] [Danish krone ] [Estonian kroon ] [UK pound sterling ] [Greek drachma ] [Hong Kong dollar ] [Croatian kuna ] [Hungarian forint ] [Indonesian rupiah ] [Israeli shekel ] [Indian rupee ]   [Iceland krona ]   [Japanese yen ] [Korean won ] [Lithuanian litas ] [Latvian lats ] [Maltese lira ] [Mexican peso ] [Malaysian ringgit ] [Norwegian krone ] [New Zealand dollar ] [Philippine peso ] [Polish zloty ]    [Romanian leu ]   [Russian rouble ] [Swedish krona ] [Singapore dollar ] [Slovenian tolar ] [Slovak koruna ] [Thai baht ]    [Turkish lira ]   [US dollar ] [South African rand ]\n",
       "5694  1999-01-08         1.8406               NaN               NaN             1.7643           1.6138                NaN                0.58187          34.938          7.4433           15.6466            0.70940            324.00             9.0302              NaN              250.15              9321.63               NaN              NaN                   80.9900      130.09         1366.73          4.66430           0.6654          0.4419          11.4414           4.4295              8.5900               2.1557              44.295            4.0363                   1.3143       27.2075          9.1650             1.9537            188.8400           42.560         42.5590                 0.3718    1.1659            6.7855       \n",
       "5695  1999-01-07         1.8474               NaN               NaN             1.7602           1.6165                NaN                0.58187          34.886          7.4431           15.6466            0.70585            324.40             9.0131              NaN              250.09              9218.77               NaN              NaN                   81.0600      129.43         1337.16          4.65480           0.6627          0.4413          11.5511           4.4203              8.6295               2.1531              44.436            4.0165                   1.3092       26.9876          9.1800             1.9436            188.8000           42.765         42.1678                 0.3701    1.1632            6.8283       \n",
       "5696  1999-01-06         1.8820               NaN               NaN             1.7711           1.6116                NaN                0.58200          34.850          7.4452           15.6466            0.70760            324.72             9.1010              NaN              250.67              9337.68               NaN              NaN                   81.5400      131.42         1359.54          4.69940           0.6649          0.4420          11.4705           4.4637              8.7335               2.1890              44.872            4.0065                   1.3168       27.4315          9.3050             1.9699            188.7000           42.778         42.6949                 0.3722    1.1743            6.7307       \n",
       "5697  1999-01-05         1.8944               NaN               NaN             1.7965           1.6123                NaN                0.58230          34.917          7.4495           15.6466            0.71220            324.70             9.1341              NaN              250.80              9314.51               NaN              NaN                   81.5300      130.96         1373.01          4.71740           0.6657          0.4432          11.5960           4.4805              8.7745               2.2011              44.745            4.0245                   1.3168       26.5876          9.4025             1.9655            188.7750           42.848         42.5048                 0.3728    1.1790            6.7975       \n",
       "5698  1999-01-04         1.9100               NaN               NaN             1.8004           1.6168                NaN                0.58231          35.107          7.4501           15.6466            0.71110            327.15             9.1332              NaN              251.48              9433.61               NaN              NaN                   81.4800      133.73         1398.59          4.71700           0.6668          0.4432          11.6446           4.4798              8.8550               2.2229              45.510            4.0712                   1.3111       25.2875          9.4696             1.9554            189.0450           42.991         42.6799                 0.3723    1.1789            6.9358       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5699 entries, 0 to 5698\n",
      "Data columns (total 41 columns):\n",
      " #   Column                    Non-Null Count  Dtype  \n",
      "---  ------                    --------------  -----  \n",
      " 0   Period\\Unit:              5699 non-null   object \n",
      " 1   [Australian dollar ]      5699 non-null   object \n",
      " 2   [Bulgarian lev ]          5297 non-null   object \n",
      " 3   [Brazilian real ]         5431 non-null   object \n",
      " 4   [Canadian dollar ]        5699 non-null   object \n",
      " 5   [Swiss franc ]            5699 non-null   object \n",
      " 6   [Chinese yuan renminbi ]  5431 non-null   object \n",
      " 7   [Cypriot pound ]          2346 non-null   object \n",
      " 8   [Czech koruna ]           5699 non-null   object \n",
      " 9   [Danish krone ]           5699 non-null   object \n",
      " 10  [Estonian kroon ]         3130 non-null   object \n",
      " 11  [UK pound sterling ]      5699 non-null   object \n",
      " 12  [Greek drachma ]          520 non-null    object \n",
      " 13  [Hong Kong dollar ]       5699 non-null   object \n",
      " 14  [Croatian kuna ]          5431 non-null   object \n",
      " 15  [Hungarian forint ]       5699 non-null   object \n",
      " 16  [Indonesian rupiah ]      5699 non-null   object \n",
      " 17  [Israeli shekel ]         5431 non-null   object \n",
      " 18  [Indian rupee ]           5431 non-null   object \n",
      " 19  [Iceland krona ]          3292 non-null   float64\n",
      " 20  [Japanese yen ]           5699 non-null   object \n",
      " 21  [Korean won ]             5699 non-null   object \n",
      " 22  [Lithuanian litas ]       4159 non-null   object \n",
      " 23  [Latvian lats ]           3904 non-null   object \n",
      " 24  [Maltese lira ]           2346 non-null   object \n",
      " 25  [Mexican peso ]           5699 non-null   object \n",
      " 26  [Malaysian ringgit ]      5699 non-null   object \n",
      " 27  [Norwegian krone ]        5699 non-null   object \n",
      " 28  [New Zealand dollar ]     5699 non-null   object \n",
      " 29  [Philippine peso ]        5699 non-null   object \n",
      " 30  [Polish zloty ]           5699 non-null   object \n",
      " 31  [Romanian leu ]           5637 non-null   float64\n",
      " 32  [Russian rouble ]         5699 non-null   object \n",
      " 33  [Swedish krona ]          5699 non-null   object \n",
      " 34  [Singapore dollar ]       5699 non-null   object \n",
      " 35  [Slovenian tolar ]        2085 non-null   object \n",
      " 36  [Slovak koruna ]          2608 non-null   object \n",
      " 37  [Thai baht ]              5699 non-null   object \n",
      " 38  [Turkish lira ]           5637 non-null   float64\n",
      " 39  [US dollar ]              5699 non-null   object \n",
      " 40  [South African rand ]     5699 non-null   object \n",
      "dtypes: float64(3), object(38)\n",
      "memory usage: 1.8+ MB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# import libraries and set display options\n",
    "import pandas as pd\n",
    "import pprint\n",
    "\n",
    "pd.options.display.float_format = '{:20,.4f}'.format\n",
    "pd.set_option('display.max_rows', None)\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.width', 3000)\n",
    "pd.set_option('display.colheader_justify', 'center')\n",
    "pd.set_option('display.precision', 3)\n",
    "# import json\n",
    "# s = json.load( open(\"bmh_matplotlibrc.json\") )  #edit path to json file\n",
    "# matplotlib.rcParams.update(s)\n",
    "\n",
    "# open file\n",
    "x_rates = pd.read_csv(\"euro-daily-hist_1999_2020.csv\")\n",
    "\n",
    "# head, tail, and basic info\n",
    "display(x_rates.head())\n",
    "display(x_rates.tail())\n",
    "display(x_rates.info())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b25b0c0",
   "metadata": {},
   "source": [
    "## **Initial Look Continued**\n",
    "The dataset covers the time period from January 1999 to January 2021. It has 5699 rows and 41 columns. Some of these columns have less than half the number of entries as other columns. In the original data set, cells with missing entries have a hyphen (-). This causes problems with a lot of the functions that will be used. For the time being the hyphens will be converted to the value ```NaN```, which preserves the row of information.\n",
    "## **Data Cleaning**\n",
    "The first steps will be:\n",
    "* Clean and modify column names\n",
    "* Convert to `datetime` data type\n",
    "* Sort the values with oldest first and reset the index\n",
    "* Clean currency columns\n",
    "* Convert exchange rates to floats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "eed88132",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/bz/5cj1tzbj5xn319rpqrw6gpmh0000gn/T/ipykernel_13006/2256657528.py:4: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  x_rates.columns = x_rates.columns.str.replace(\"[\",\"\").str.replace(\"]\",\"\")\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: center;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>australian_dollar</th>\n",
       "      <th>bulgarian_lev</th>\n",
       "      <th>brazilian_real</th>\n",
       "      <th>canadian_dollar</th>\n",
       "      <th>swiss_franc</th>\n",
       "      <th>chinese_yuan</th>\n",
       "      <th>cypriot_pound</th>\n",
       "      <th>czech_koruna</th>\n",
       "      <th>danish_krone</th>\n",
       "      <th>estonian_kroon</th>\n",
       "      <th>uk_pound</th>\n",
       "      <th>greek_drachma</th>\n",
       "      <th>hong_kong_dollar</th>\n",
       "      <th>croatian_kuna</th>\n",
       "      <th>hungarian_forint</th>\n",
       "      <th>indonesian_rupiah</th>\n",
       "      <th>israeli_shekel</th>\n",
       "      <th>indian_rupee</th>\n",
       "      <th>iceland_krona</th>\n",
       "      <th>japanese_yen</th>\n",
       "      <th>korean_won</th>\n",
       "      <th>lithuanian_litas</th>\n",
       "      <th>latvian_lats</th>\n",
       "      <th>maltese_lira</th>\n",
       "      <th>mexican_peso</th>\n",
       "      <th>malaysian_ringgit</th>\n",
       "      <th>norwegian_krone</th>\n",
       "      <th>new_zealand_dollar</th>\n",
       "      <th>philippine_peso</th>\n",
       "      <th>polish_zloty</th>\n",
       "      <th>romanian_leu</th>\n",
       "      <th>russian_rouble</th>\n",
       "      <th>swedish_krona</th>\n",
       "      <th>singapore_dollar</th>\n",
       "      <th>slovenian_tolar</th>\n",
       "      <th>slovak_koruna</th>\n",
       "      <th>thai_baht</th>\n",
       "      <th>turkish_lira</th>\n",
       "      <th>us_dollar</th>\n",
       "      <th>south_african_rand</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1999-01-04</td>\n",
       "      <td>1.9100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.8004</td>\n",
       "      <td>1.6168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5823</td>\n",
       "      <td>35.1070</td>\n",
       "      <td>7.4501</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7111</td>\n",
       "      <td>327.1500</td>\n",
       "      <td>9.1332</td>\n",
       "      <td>NaN</td>\n",
       "      <td>251.4800</td>\n",
       "      <td>9,433.6100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.4800</td>\n",
       "      <td>133.7300</td>\n",
       "      <td>1,398.5900</td>\n",
       "      <td>4.7170</td>\n",
       "      <td>0.6668</td>\n",
       "      <td>0.4432</td>\n",
       "      <td>11.6446</td>\n",
       "      <td>4.4798</td>\n",
       "      <td>8.8550</td>\n",
       "      <td>2.2229</td>\n",
       "      <td>45.5100</td>\n",
       "      <td>4.0712</td>\n",
       "      <td>1.3111</td>\n",
       "      <td>25.2875</td>\n",
       "      <td>9.4696</td>\n",
       "      <td>1.9554</td>\n",
       "      <td>189.0450</td>\n",
       "      <td>42.9910</td>\n",
       "      <td>42.6799</td>\n",
       "      <td>0.3723</td>\n",
       "      <td>1.1789</td>\n",
       "      <td>6.9358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1999-01-05</td>\n",
       "      <td>1.8944</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7965</td>\n",
       "      <td>1.6123</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5823</td>\n",
       "      <td>34.9170</td>\n",
       "      <td>7.4495</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7122</td>\n",
       "      <td>324.7000</td>\n",
       "      <td>9.1341</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.8000</td>\n",
       "      <td>9,314.5100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.5300</td>\n",
       "      <td>130.9600</td>\n",
       "      <td>1,373.0100</td>\n",
       "      <td>4.7174</td>\n",
       "      <td>0.6657</td>\n",
       "      <td>0.4432</td>\n",
       "      <td>11.5960</td>\n",
       "      <td>4.4805</td>\n",
       "      <td>8.7745</td>\n",
       "      <td>2.2011</td>\n",
       "      <td>44.7450</td>\n",
       "      <td>4.0245</td>\n",
       "      <td>1.3168</td>\n",
       "      <td>26.5876</td>\n",
       "      <td>9.4025</td>\n",
       "      <td>1.9655</td>\n",
       "      <td>188.7750</td>\n",
       "      <td>42.8480</td>\n",
       "      <td>42.5048</td>\n",
       "      <td>0.3728</td>\n",
       "      <td>1.1790</td>\n",
       "      <td>6.7975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1999-01-06</td>\n",
       "      <td>1.8820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7711</td>\n",
       "      <td>1.6116</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5820</td>\n",
       "      <td>34.8500</td>\n",
       "      <td>7.4452</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7076</td>\n",
       "      <td>324.7200</td>\n",
       "      <td>9.1010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.6700</td>\n",
       "      <td>9,337.6800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.5400</td>\n",
       "      <td>131.4200</td>\n",
       "      <td>1,359.5400</td>\n",
       "      <td>4.6994</td>\n",
       "      <td>0.6649</td>\n",
       "      <td>0.4420</td>\n",
       "      <td>11.4705</td>\n",
       "      <td>4.4637</td>\n",
       "      <td>8.7335</td>\n",
       "      <td>2.1890</td>\n",
       "      <td>44.8720</td>\n",
       "      <td>4.0065</td>\n",
       "      <td>1.3168</td>\n",
       "      <td>27.4315</td>\n",
       "      <td>9.3050</td>\n",
       "      <td>1.9699</td>\n",
       "      <td>188.7000</td>\n",
       "      <td>42.7780</td>\n",
       "      <td>42.6949</td>\n",
       "      <td>0.3722</td>\n",
       "      <td>1.1743</td>\n",
       "      <td>6.7307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1999-01-07</td>\n",
       "      <td>1.8474</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7602</td>\n",
       "      <td>1.6165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5819</td>\n",
       "      <td>34.8860</td>\n",
       "      <td>7.4431</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7058</td>\n",
       "      <td>324.4000</td>\n",
       "      <td>9.0131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.0900</td>\n",
       "      <td>9,218.7700</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0600</td>\n",
       "      <td>129.4300</td>\n",
       "      <td>1,337.1600</td>\n",
       "      <td>4.6548</td>\n",
       "      <td>0.6627</td>\n",
       "      <td>0.4413</td>\n",
       "      <td>11.5511</td>\n",
       "      <td>4.4203</td>\n",
       "      <td>8.6295</td>\n",
       "      <td>2.1531</td>\n",
       "      <td>44.4360</td>\n",
       "      <td>4.0165</td>\n",
       "      <td>1.3092</td>\n",
       "      <td>26.9876</td>\n",
       "      <td>9.1800</td>\n",
       "      <td>1.9436</td>\n",
       "      <td>188.8000</td>\n",
       "      <td>42.7650</td>\n",
       "      <td>42.1678</td>\n",
       "      <td>0.3701</td>\n",
       "      <td>1.1632</td>\n",
       "      <td>6.8283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1999-01-08</td>\n",
       "      <td>1.8406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7643</td>\n",
       "      <td>1.6138</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5819</td>\n",
       "      <td>34.9380</td>\n",
       "      <td>7.4433</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7094</td>\n",
       "      <td>324.0000</td>\n",
       "      <td>9.0302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.1500</td>\n",
       "      <td>9,321.6300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.9900</td>\n",
       "      <td>130.0900</td>\n",
       "      <td>1,366.7300</td>\n",
       "      <td>4.6643</td>\n",
       "      <td>0.6654</td>\n",
       "      <td>0.4419</td>\n",
       "      <td>11.4414</td>\n",
       "      <td>4.4295</td>\n",
       "      <td>8.5900</td>\n",
       "      <td>2.1557</td>\n",
       "      <td>44.2950</td>\n",
       "      <td>4.0363</td>\n",
       "      <td>1.3143</td>\n",
       "      <td>27.2075</td>\n",
       "      <td>9.1650</td>\n",
       "      <td>1.9537</td>\n",
       "      <td>188.8400</td>\n",
       "      <td>42.5600</td>\n",
       "      <td>42.5590</td>\n",
       "      <td>0.3718</td>\n",
       "      <td>1.1659</td>\n",
       "      <td>6.7855</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     date      australian_dollar   bulgarian_lev  brazilian_real    canadian_dollar        swiss_franc      chinese_yuan     cypriot_pound        czech_koruna         danish_krone        estonian_kroon          uk_pound           greek_drachma      hong_kong_dollar    croatian_kuna   hungarian_forint     indonesian_rupiah   israeli_shekel  indian_rupee     iceland_krona        japanese_yen          korean_won        lithuanian_litas       latvian_lats         maltese_lira         mexican_peso       malaysian_ringgit     norwegian_krone    new_zealand_dollar     philippine_peso       polish_zloty         romanian_leu        russian_rouble        swedish_krona      singapore_dollar      slovenian_tolar       slovak_koruna          thai_baht          turkish_lira           us_dollar       south_african_rand \n",
       "0 1999-01-04               1.9100      NaN             NaN                     1.8004               1.6168      NaN                    0.5823              35.1070               7.4501              15.6466               0.7111             327.1500               9.1332      NaN                   251.4800           9,433.6100       NaN            NaN                   81.4800             133.7300           1,398.5900               4.7170               0.6668               0.4432              11.6446               4.4798               8.8550               2.2229              45.5100               4.0712               1.3111              25.2875               9.4696               1.9554             189.0450              42.9910              42.6799               0.3723               1.1789               6.9358\n",
       "1 1999-01-05               1.8944      NaN             NaN                     1.7965               1.6123      NaN                    0.5823              34.9170               7.4495              15.6466               0.7122             324.7000               9.1341      NaN                   250.8000           9,314.5100       NaN            NaN                   81.5300             130.9600           1,373.0100               4.7174               0.6657               0.4432              11.5960               4.4805               8.7745               2.2011              44.7450               4.0245               1.3168              26.5876               9.4025               1.9655             188.7750              42.8480              42.5048               0.3728               1.1790               6.7975\n",
       "2 1999-01-06               1.8820      NaN             NaN                     1.7711               1.6116      NaN                    0.5820              34.8500               7.4452              15.6466               0.7076             324.7200               9.1010      NaN                   250.6700           9,337.6800       NaN            NaN                   81.5400             131.4200           1,359.5400               4.6994               0.6649               0.4420              11.4705               4.4637               8.7335               2.1890              44.8720               4.0065               1.3168              27.4315               9.3050               1.9699             188.7000              42.7780              42.6949               0.3722               1.1743               6.7307\n",
       "3 1999-01-07               1.8474      NaN             NaN                     1.7602               1.6165      NaN                    0.5819              34.8860               7.4431              15.6466               0.7058             324.4000               9.0131      NaN                   250.0900           9,218.7700       NaN            NaN                   81.0600             129.4300           1,337.1600               4.6548               0.6627               0.4413              11.5511               4.4203               8.6295               2.1531              44.4360               4.0165               1.3092              26.9876               9.1800               1.9436             188.8000              42.7650              42.1678               0.3701               1.1632               6.8283\n",
       "4 1999-01-08               1.8406      NaN             NaN                     1.7643               1.6138      NaN                    0.5819              34.9380               7.4433              15.6466               0.7094             324.0000               9.0302      NaN                   250.1500           9,321.6300       NaN            NaN                   80.9900             130.0900           1,366.7300               4.6643               0.6654               0.4419              11.4414               4.4295               8.5900               2.1557              44.2950               4.0363               1.3143              27.2075               9.1650               1.9537             188.8400              42.5600              42.5590               0.3718               1.1659               6.7855"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# strip brackets and trailing space from country names\n",
    "# replace remaining space with underscore\n",
    "# lower case all column names\n",
    "x_rates.columns = x_rates.columns.str.replace(\"[\",\"\").str.replace(\"]\",\"\")\n",
    "x_rates.columns = x_rates.columns.str.rstrip()\n",
    "x_rates.columns = x_rates.columns.str.replace(\" \",\"_\")\n",
    "x_rates.columns = x_rates.columns.str.lower()\n",
    "\n",
    "# rename columns\n",
    "x_rates.rename(columns={\"period\\\\unit:\":\"date\",\n",
    "                        \"chinese_yuan_renminbi\":\"chinese_yuan\",\n",
    "                        \"uk_pound_sterling\":\"uk_pound\"}, inplace=True)\n",
    "\n",
    "# convert datetime\n",
    "x_rates[\"date\"] = pd.to_datetime(x_rates[\"date\"])\n",
    "\n",
    "# resort and reindex\n",
    "x_rates.sort_values(\"date\", inplace=True)\n",
    "x_rates.reset_index(drop=True, inplace=True)\n",
    "\n",
    "# convert hyphens in currency columns to NaN\n",
    "import numpy as np\n",
    "x_rates = x_rates.replace(\"-\", np.nan)\n",
    "\n",
    "# convert exchange rate values to float\n",
    "x_rates.iloc[:,1:] = x_rates.iloc[:,1:].astype(float)\n",
    "\n",
    "# set style for cells with centered output\n",
    "from IPython.core.display import HTML\n",
    "HTML(\"\"\"\n",
    "<style>\n",
    ".output_png {\n",
    "    display: table-cell; text-align: center; vertical-align: middle}\n",
    "</style>\n",
    "\"\"\")\n",
    "\n",
    "display(x_rates.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2bd0e36",
   "metadata": {},
   "source": [
    "## **Euro to Dollar**\n",
    "The change over time in Euro exchange rate can be visualized in a line graph. It and the US dollar are the first currency pair to be examined."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "53c4ed0a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x270 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a us dollar to euro dataframe and add 30 day rolling mean column\n",
    "us_dollar = x_rates[[\"date\",\"us_dollar\"]].copy()\n",
    "us_dollar[\"rolling_mean_30\"] = us_dollar[\"us_dollar\"].rolling(30).mean()\n",
    "\n",
    "# line graph for dollar to euro exchange rate\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "%matplotlib inline\n",
    "fig, ax = plt.subplots(figsize=(10,3.75))\n",
    "ax.plot(us_dollar[\"date\"], us_dollar[\"rolling_mean_30\"])\n",
    "ax.set(xlabel=\"Year\",\n",
    "       ylabel=\"US dollar\",\n",
    "       title=\"US Dollar to Euro Exhcange Rates\")\n",
    "ax.set_xticks([\"2000-01-04 00:00:00\", \"2005-01-04 00:00:00\", \"2010-01-04 00:00:00\",\n",
    "               \"2015-01-04 00:00:00\", \"2020-01-04 00:00:00\"])\n",
    "ax.set_xticklabels([2000,2005,2010,2015,2020])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f255ba22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       "table {float:center}\n",
       "</style>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%html\n",
    "<style>\n",
    "table {float:center}\n",
    "</style>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f6a9088",
   "metadata": {},
   "source": [
    "## **Euro to Dollar Continued**\n",
    "The line graph shows that the exchange rate between the Euro and US dollar is pretty variable. There are also a lot of gaps in the graph. These represent points in the data frame where information for a particular day is missing. This is the most accurate representation of the data, but it's not very easy to look at. A quick visual check can illustrate this overlap and then compare the original data frame with one where the missing dates are removed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1153ca91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x540 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x540 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create nan group and get dates\n",
    "nan_dollar_group = us_dollar[us_dollar[\"us_dollar\"].isnull()]\n",
    "nan_days = nan_dollar_group[\"date\"]\n",
    "\n",
    "# line graph showing dollar to euro showing NaN values with and without highlight\n",
    "fig, (ax1, ax2) = plt.subplots(nrows=2, ncols=1, figsize=(10,7.5))\n",
    "ax1.plot(us_dollar[\"date\"], us_dollar[\"rolling_mean_30\"])\n",
    "ax1.set(title=\"dataset w/ NaN values\")\n",
    "ax2.plot(us_dollar[\"date\"], us_dollar[\"rolling_mean_30\"])\n",
    "ax2.set(title=\"dataset w/ corresponding dates in light blue\")\n",
    "for ax in ax1, ax2:\n",
    "    ax.set_xticks([\"2000-01-04 00:00:00\", \"2005-01-04 00:00:00\", \"2010-01-04 00:00:00\",\n",
    "               \"2015-01-04 00:00:00\", \"2020-01-04 00:00:00\"])\n",
    "    ax.set_xticklabels([2000,2005,2010,2015,2020])\n",
    "for xc in nan_days:\n",
    "    plt.axvline(x=xc, color=\"lightcyan\")\n",
    "fig.suptitle(\"US dollar to Euro exchange rates\", fontsize=20)\n",
    "fig.tight_layout(pad=3.0)\n",
    "plt.show()\n",
    "\n",
    "# create a dollar to euro dataframe with NaN dates removed\n",
    "US_dollar_nonull = x_rates[x_rates[\"us_dollar\"].notna()].copy()\n",
    "US_dollar_nonull[\"rolling_mean_30\"] = US_dollar_nonull[\"us_dollar\"].rolling(30).mean()\n",
    "\n",
    "# line graph showing 30 day rolling mean with and without NaN rows\n",
    "fig, (ax1, ax2) = plt.subplots(nrows=2, ncols=1, figsize=(10,7.5))\n",
    "ax1.plot(us_dollar[\"date\"], us_dollar[\"rolling_mean_30\"])\n",
    "ax1.set(title=\"NaN rows included\")\n",
    "ax2.plot(US_dollar_nonull[\"date\"], US_dollar_nonull[\"rolling_mean_30\"])\n",
    "ax2.set(title=\"NaN rows removed\")\n",
    "for ax in ax1, ax2:\n",
    "    ax.set_xticks([\"2000-01-04 00:00:00\", \"2005-01-04 00:00:00\", \"2010-01-04 00:00:00\",\n",
    "               \"2015-01-04 00:00:00\", \"2020-01-04 00:00:00\"])\n",
    "    ax.set_xticklabels([2000,2005,2010,2015,2020])\n",
    "fig.suptitle(\"US dollar to Euro exchange rates\", fontsize=20)\n",
    "fig.tight_layout(pad=3.0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8373d967",
   "metadata": {},
   "source": [
    "## **Euro to Dollar Conclusion**\n",
    "The third graph shows vertical blue stripes for all dates with missing information. These correspond perfectly with the gaps in the original chart. The final chart, with these rows removed, appears to be good match and is easier to look at. This also demonstrates how the rolling mean handles NaN values within a data frame. In either case the shape of the line is identical where the information exists, therefor both are similarly accurate representations of the available data. All further currency data frames will be handled the same.\n",
    "\n",
    "## **Euro & Traded Pairs**\n",
    "### Euro to Highly Traded Currencies\n",
    "The line graphs represent the exchange rates for the Euro to the US dollar, Japanese yen, UK pound, and Australian dollar. These four currencies, in addition to the Euro, are the top five currencies in the Forex market. All five together comprise over 75% of daily trades (4).\n",
    "### Euro to Least Traded Currencies\n",
    "The line graphs represent the exchange rates for the Euro to the Israeli shekel, Philippine peso, Malaysian ringgit, and Romanian leu. These four currencies have low trade volumes, they comprise less than 0.4% of daily trades (4)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "27c42da0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dw+MA7Gkb5vXff4JAOFrgLRNCCLHU3HOolxd+9UF6R4OF3hQhSo4EIaKkfP+hVjqGx/nY7/cD8KpvP8Zdh3rZ0zZS4C0TQgix1HzyTwd4tn2EPz3bVehNEaLkSBAiSko4FgfgkeMDRGJxxkJGBmRkPFLIzRJCCLHEhKPxRFa+xxcq8NYIUXokCBElpcdnpLxHQ1H+vHfizNNoUIIQIYQQ+XN6MEAwYpwY6x+TIESITEkQIkpK/1iY89fWAvCOnz+TuNwXlDUhQgghMnfXwR7+/dd7Mr7f6UF/4nsJQoTInAQhoqQMBcJsba6adrlkQoQQQszH63/wJL98sp2ukfGM7tc2aNx+x4pq+kYlCBEiUxKEiJIRj2tGxiPUlDsT2ZDfvOUSKlx2RiUTIoQQYgEOdY1mdPvOkXFcDhtbm72SCRFiHhyF3gAh0uULRtAaaspd/OqfL2FkPEJ1mROvx4lPFqYLIYTIkNY68f3xvjGu2tqU9n07h4Msr/bQ6HXTPxYmHtfYbCoXmynEoiSZEFEyhgJGoFFT5gSg2vy3qswhmRAhhBAZ60vKYBzvM9Z4RGJxfvVkGxGzG+NMTvaPsaqunEavm1hcMywnw4TIiAQhomRY6e5Gr3vS5V6Pk9GQfPgLIYTIzIm+icXlrf3G9799qoN/+/Wz/PLJthnvp7XmWO8Ym5d5aag09kmyLkSIzEgQIkrGwFgYgPpK16TLqzwOfOOSCRFCCJEZKwjZ2uzFZzY4OdxjrA052jM24/1841GCkTgtZjkWSBAiRKYkCBElwxpM6HU7J13u9TilO5YQQoiMPdM2RHWZk41NlQTCMWBiHtXxvpmDkJ5R4zZNVR6qPMY+aUwy8kJkRIIQUTL8ZhBS7rZPutzrkTUhQgghMrevw8fOVTV4PY7EPsaagt4xNHPL3u4RIwhprvLgcRqHUuORWI63VojFRYIQUTKsTEile3JTt6oyp9k5S6e6mxBCCDFN22CAA10+zmjxUu5yJDIhnWYQcqLfTzyeer/S7UsOQowTY9b0dCFEeiQIESXDH4pityncjslvW6/HQSSmCUVlByCEECI9337gBADP3dZMhcuOPxwlEovTOxqirsJYe/h3X3uI3aeGpt2312eVY7kpSwQhkgkRIhMShIiS4Q9FqXDZUWpyH3avWY/rk3UhQggh0vTYyUGes6mBXWtqKXc70BpODwbQGt517SYA9rSP8OKvPzzpftFYnC/ccQQAj9OeyIRIOZYQmZEgRJQMfzg2rRQLjO5YgHTIEkIIkZbRYITDPaPsWlMLQIXLCCRODRjdslqqy9jUVJm4fSg6EWAcmdI1y8rOSzmWEJmRIESUDH8oSkXKIMTIhEiHLCGEEOnY1+FDa9i5qgYgsW85PRAAoLbCxedfupOtzV4AhvwT+5cnWgcBuP0dzwHAZpYJhyQTIkRGJAgRJaN3NERtuWva5V4zEyIdsoQQQqTDynhY2Q5r4ODRXiPLUVvu5OxVNbzz2s0ADPgnZoA8dnKAFTVliQAFjLIsKccSIjMShIiScaJvjI3LKqddLmtChBBCZKLXHCzY5PUAE0Nwrdkg1gkv63JrWC7As+0jnLWyetL6RI/TJgvThciQBCGiZPhDsUTpVbJys5bXaq8ohBBCzKbHF6SuwoXLXM9h7VvaBsdRymj9DhMZEmsautaaHl+QNfUVkx6vzGmXNSFCZEiCEFESgpEY4Vg8UXqVzApCxiUIEUIIkYYeX4gmrzvxfysI6Rgep7rMid1mZDlW1JRhUxPlW/1jYSIxPem+IOVYQsyHBCGiJAz4jVR4Q+X0NSHlLiMwyUYmJBKLS0pdCCEWudODflbWliX+X5l0git57aHLYaO+0p0o32ofMhaur20on/R4bqdd9h1CZEiCEFESBsaMHUBdhXvadR6nDaVgPLzwhelv/vFurvj8PZPaMQohhFhcOoeDrKydCCTsNpVoAV9TPrnst7HSnSjH6jfXhkzdF5U5bYSkHEuIjEgQIkqClQmxptgmU0pR5rQvOBPSPxbizoO99PhC3H+kf0GPJYQQojiFojHGQlHqp+xPqs11IFO7MDZ43fSZJ8Kssqw1dZMzIR6nnaCcvBIiIxKEiJIwZAYhU3calnKXncACU+GPnhhIfN89Mr6gxxJCCFGcrJkfdVPKe60MyGyZkO6RIGVO+7TbeBx2WZcoRIYkCBElYdAMQmpnCELKXAvfAdy+tzsx+daq/xVCCLG4WDM/pp7UWttgdLyamglp9LrpHwuhtaZ3NERTlXtSe14w9kGSCREiMxKEiJIw4A/jtCuqUnTHAih3OvCH5r8mZGAsxJ/2drG2voJGr5vO4eC8H0sIIUTxGvSnXtex2iyxsk5GWRq9biIxzQNH++kaGZ/WGQusOSGyJkSITEgQIoqe1pqekSC15a5pZ58sZa6FtUd8+vQwAG+7eiPbWqrY3zky78cSQghRfALhKKcG/ElByOSMxxktVQDsWFE96fJGM+h49Xcf54nWoUT73mRuh52glGMJkZHUp5WFKAJ3HuihptzJ/Uf7+c3THWxZ5p3xtuWuhS1M7xg21oBctL6eh471s79zBK31jEGPEEKI0vKuXzzDX/f38N7rtwLTW76/cOdydq6snjaI8Izmyfuel5+/atpjWyfCZL8hRPokCBFFKR7XvOGHT0667Lpty2a8fbnLzlAgMu/nax8K4HbYaKh0sbXZy8+faKPHF6K52jPvxxRCCFE8/rq/B4AnTg5it6nEgMJkUwMQgE3LvLx010p6RkPcsL2Zvztn5bTb1JQ5icY1/nAs0epXCDE7+UsRRel439ik/9+0cznved6WGW9f5nIsaE5I+9A4K2vLUEolesd3+4IShAghxCJw18GexPcPHuunrsKFLUVZ1Uw+/9Kds15vlWz1jYYkCBEiTbImRBSlUwPGVNoVNcZE23+8aM2sty9f4JwQIwgxgo8Gc2fSLx2yhBBiUfjpY6cT34ei8UnT0rPB6qg1HAhn9XGFWMwkXBdFyVqjcdtbL02cYZrNQlv0dgyPs2OlsRjRqhPuH5MgRAghSp3Wmt2nh3jF+at46vQQR3rGOHd1bVafo9Ls3Di2gC6NQiw1EoSIotQ5PI7LYZtxOOFUXo8DfzhKKBrD7bBn9FyjwQiD/nDizFhDpZkJkSBECCFKXv9YmOFAhE3LvHzilu082TrEhevqsvocVgnWWFCCECHSJeVYoih1DI+zoqYs7Zrd7SuqiWvY05Z5a919HT4AtpodUDxOO9VlTnp82QlCwtE4Dx/rJx7XWXk8IYQQ6TvaMwrA5mWVOO02Lt5Qn9F6kHQkghDJhAiRNglCRFHqHB5neU36i8LPW2Ok1p9tH874udqHjPUn6xsqE5e1VHvoGsnOwMIfP3qKv//2Y/zo0VNZeTwhhBDpe7bDODl15vLqOW45fxKECJE5CUJEUeoYHmd5dfoLB41BhuAbz7xNb/vQOEpBS1LQ0+h1Z60c6/SgEeR85Pf7GQ3Ov42wEEKIzO1tH2FVXdm04YTZVCHlWEJkTIIQUXTC0Ti9oyGW16QfhNhsikqXA988dgBtgwGaqzyT1pLUV7gY8GcnCOkaGU98v+Ojd/BE62BWHlcIIcTc2ocCrE0x/yObXA4bbodNMiFCZECCEFF0enxBtJ5oz5uuqjInvnlkGo73+1nfOHkH1VDppn80O60WO4eDbGqaKPX63kMn+cfvPDapZaQQQojsi8c1h3tGWd+Q2yAEjAYpoxKECJE2CUJE0bHa82aSCQFzB5BhJkRrzfHeMTY2Vk66vL7SzXgkhj8LO5SukYn2vwCPnRjkgaP9vP+3exf82EIIIWbWOTJOMBJPOQk92yrcjqzsM4RYKiQIEUWnMxGEZDatvMrjzHhNSMfwOGOhKBuaJgchq+qMAOhkvz+jx5sqGInRPxZmXX0FX3y5MXF3wC/DrIQQIh+eaRsG4IIst+RNpWyBQ3OFWGokCBFFp3OemZCqsswzIb99qgNg2uCqdWbq3uqcNV9Wh62WmjL+7pyViUDEorW07RVCiFxpHzL2J2vqy3P+XG6HjXA0nvPnEWKxkCBEFJ2O4XHqK1x4nJkNHfR6Ml8T8uCxfs5cXsX2FZNbN1pT2vtGF7Y4vWtKVufvzlnJg/9xFc8/sxmAkXl08xJCCJGejqFxqsuceD3OnD+XS4IQITIiQYgoOh3DQVbUZpYFAajyODIqxwqEozx9ephLNtRPu66+wo1NQe8Cg5B2MwhJXmS/sracF5zVAkC3LzuzSIQQQkx3ejDA6rrcZ0HADEJiEoQIkS4JQkTR6cxwRoilqszJWCia9mTy3z7dQTgW57ptzdOus9sU9ZXuBWdCDnb5cDtstEz5eZqrjcxId5YGIgohhJiuLZ9BiF0yIUJkQoIQUVS01nQOj08aHJgur8dBXIM/nN66kH0dPqrLnDMuWKyvcDG4wEXkfea8E5dj8p9ac5Xx8/VIJkQIIXIiGovTNhRgVT4zIRKECJE2CUJEURkZjxAIxzKeEQJGdywg7cXp+ztHOKPFO+P1teUuhgILC0K6R4KJ9SXJmqqMy3p82RmIKIQQYrKO4XEiMZ2XGSEALoddyrGEyIAEIaKodA4bmYFMO2MBiYWH6SxO/+jv9/Ns+wjnTOmKlawuC5mQjuFxVtVOPwvndtipq3DJmhAhhMgRqz3v1BbsuSLlWEJkRoIQUVRODxpzOVIduM+lqswBgG989kyI1prvP9wKTG/Nm6y2wslQYP7dq+JxTd9oiGVV0zMhADXlTumOJYQQOaC15lv3n2BNfTlnr6rJy3O6HDZCEoQIkTYJQkRR6TAzIdawwExMlGPNfmDfN2aUQK2pL+fqrU0z3q6+ws1QIEx0nun1oUCYaFynLMeytjfT4YpCCCFmNx6O8ZW7j7G/08drL1mL3aby8rzGnBAZVihEuhyF3gAhkvWOBnHZbVSXZd7T3esxMyFzBCGnBowBhB974Zmz7pwavW60NiacL6uafaH8O3/+NF6Pk0/csj1xmdXet8mb+r5VZZIJEUKIbApFY7z6u4/xROsQZ62s5uXnr8rbczvtStaECJEByYSIotI3GqLR60apzM9clbuMIGQ8PPtO4GS/UfK1pn72xYq15S4AhucoyQpGYtz2TCc/evQUsaT2wFb73ZnKsao8DkYlCBFCiKx54Eg/T7QO8abL1/PzN16U2C/kg3THEiIzEoSIomIFIfPhcRpv52Bk9nT4iT4/Trti1RwDEWvKjWzM8BwdspJniZweDCS+PzUwe7BTVZb5hPdc01rz+MlB/rq/W3amQoiSc9ehXspddt557ea8BiAALruduGbeJbxCLDVSjiWKSt9oaN493T1OOwDjcwQh3SPjNFd7cNhnj8GtkrDhObIVyS2BB8ZCrDPbQXb5jNKyhkpXyvsZa0KiaK3nlfnJhf+58yhfuusoAC87byWfe8nOAm+REEKk79ETA1y6sYEylz3vz23NgwrH4nPuX4QQkgkRRaZvNETTPDMhbocNpebOhPT4QjOu00iWbiZkLDQRhCS39O0ZCdJUNXNpWVWZg3AsTtvg+IJbAWfDib4xvnTXUSrdxrmJ3z7dQSDNwY9CCFFog/4wJ/v9s3Y9zKVEECJZZCHSIkGIKAoPHu3nidZBBvzheZdjKaXwOOxzBiF9YyEaK+d+jiavB6UmZpfMJLkbV/JwwxP9fpZXz1zyZXXzuvq/7uWyz9495/bk2u5TQwDc9tZL+eHrLiASM0qzhBCiFFifV+esrinI80sQkl/7O0cSs2BEaZJyLFFw4Wicf/jOY4n/p5OlmEmZyz5nOdZwIExtReoSqWQuh40mr5uO4fFZb5ecCRkwMxr9YyGebR/h3563Zcb7VZnlXtG4JhqOES1QCv/UgB+F4mjvGC6HjbX15Syv8eC0Kx47OciVW2ZuYyyEEMXijgPdVJc52bWmMJkQtxmEyKyQ3AtH47zgyw8C0PqZFxR4a8R8SRAiCu5o7+ik/29pnv90W4/DRjAy8w5Aa81wIEJteXotgFfWlie6ac3El7QmZMgMQo50Gz/TzpU1M96vrnxyINQ5HGR1/fzWw8zXqQE/V3z+XmrLndRWuDhrRTUOuw2H3cbOlTU8emIgr9sjhBDzMRaK8ue9XdywowVngdZjVJgL4QNhmRWSa8nHDcFILLEmVJQWKccSBWeVAVlmO3Cfi2eOTIg/HCMa12nPIblwXR3PtA0ngotUrHKsugoXg37j+yM9xgfkpmUzB1QbmiZ3zTreP5bWNmXDyX4/A2MhfvTIKQCGAhFO9Pl5/vbmxG0uXF/Hs+0jRbFeRQghZnPngR6CkTgvOmdlwbah3G0cCPtlLV3OHej0Jb5Pbg4jSosEIaLgDnWPUlPu5H///lx+9v8uWlBJUpnTzvgsZ6GsgCHdIOTKLU3E4ponWmdeGzEWjGK3KVqqPQz6jXa9rQMBKt2OWRfZN5sDEC9aXwfA8d78BCHRWJwbv/wAL/jyg/z8iTau2dqUKCO45ZwVidtde8Yy4lrz3C/eT69v9nUxQghRSPcf7aOm3MnFG+oLtg1WJsQfkoPiXGtLaodfbK3uRfokCBEFEQhH+dSfD/LYiQHaBgOsqSvnBWe1LHgHUuFyJDo69Y+F+Nb9xyctVLfOmFR60qtEPHN5FUrBG3+0e9IgwmSjwShej8PIhJiDDYcDYeoqXLO23lVKceDjz+PHr78Qp13RP5afjEPXSBB/OEa3L8hYKMoVWxq5412Xc8e7LqchacH+Oatr+dWbLmbQH+I7D53My7YJIUSmtNY8dKyfyzY2YLcVrt25Wxam581oUqDnk6G/JUuCEFEQP3u8jW/df4IP/24/J/v9854NMlW5256ox/38Xw7zqT8f4sGj/YnrE0GIO70gpMLt4IU7lwNw7+HelLcZCxlByLIqD90jxiL2wUAk0eJ31u11OXDYbdRXuBkYC815+2ywziC9dNdKqsucXLm5iTX1FWxe5p122/PW1nH55kbuPNCTl20TQohMtQ+N0+MLccG6uoJuh8NuBECRWOoTViJ7xpJKsHxSjlWyJAgRBXHfkT4ADveM0j40zjlZ6ute4XIkulVZC9f6kw7ureu8aWZCAD71dzsA2NM+kvL60WCESreTlbVl9PhCRGJxYyBiVfpdvuorXYnOWrnWNmQEIf9yzSb2fOS5cy6GP3d1LSf6/ZO6gAkhRLF48pRRLnv+2sIGIS6zlDgiE9NzbkwyIYuCBCEi7yKxOE+cHExkGAAuXp+dOl6P007I7I5lfUglH9yPJTIh6a0JASMbsqa+nON9qdds+JLKsQA6h8c53udnZW362Z36ynxmQsYTa1jSce7qWrSGx6RTlhCiCJ3sD6AUbGicf2fFbLDWM0bjEoTk2lgoyooaYw6XrAkpXRKELDFaFz5NfGrAz3gkxpVbGnnZeStZ11DB1ubppUDz4XbaCEVjaK1pHTDO+CcvVB8LGR9W6a4JsayqLadzhnkhY8EoVR5HYrH7k61DxOKa89emn91pqHAteE1IJBbns385xLE5Frgf6x1jVW1Z2g0Azl1TA8DBLt/sNxRCiAJoGwywvLosMSywUJxSjpU3o8Fo4kSab1yy9KVKgpAl5HjfGBs/cDt/2NNZ4O0w5m5saKzk0y86i7vefQW2LC0mNCamxwlF44nFgaHoRBAybC4cr8owCGn0uukbTZ2pGA1FqHQ7qDXnfuw3WwdmMvPDKMcKLShIfPzkIF+/9zgfum3fjLeJxTVPnhrkrAzaIJe7HLRUezjRN/u8FCGEKIRn2obZ2FTYLAiQmE8i5Vi5NxaK0uh147ApyYSUMAlClpB9HSPE4pr/e+BEQbfDOlO/oakSu01lLQAB8DhtBCOxSS0Sk4cXdg6PU+l2pL0w3dJQ6aJ/LHWQMBaM4vU4E0HIgS5j7YiVKk5HfaWbYCS+oCFXj5006qJn61H/1Okh+sfCXLdtWUaPvbGpkkPdo3PfUAgh8uRvB3pY+94/cbLfz3M2NRR6c3CY+7KoZEJybjQYwetxUFXmlDUhJUyCkCWkfcgoJ+r15WftwUyO947RXOXJOBBIh9thJxrXk9aBJGdCOoaDrKwtm7V1biqNXiNImLo4W2udaNFrdcPa2z5Chcue9iwSgGVVbnP7Upd8peOR40YXsP4ZMjZdI+O89BuP4LAprtzSmNFjb1texbHeMeIztCkWQoh8isc1n7n9YOL/NyWtMSwUp0MyIfmgtWYoEKG2wkWVxyHDCkuYBCFLiHWA2zManHWgX64d6PLlLHXucRpv6fahiUFG/pDxs966u507D/bMq27Ymp8xdd1GMBInGtdUehw0V3tw2hX+cIx1jRUZBTpbm6sAOJyUbegaST8gicbiPNM2DEDnSDDlsKzvPGDM+njxuSvxetIPkMBYExOOxemdIcARQoh82t/p43ifn8+8aAdPfeg6lmXQjTBXnDYrCJGTNZn40aOneMnXH54002s2gXCMcDROXbnLyIRIOVbJkiBkCekwMyFaT7SvzbfWfj+Huke5YnNmZ+LT5XHaARLrN7xuB93mtO8fP3YKgJvPXpH6zrNo9FpByOSD8FFzobvX48RptyWCiVQzN2ZjLbDr8QWJxOK8+OsPc/Gn7+aO/d1p3b9rJEgkphMZjlTrNw52+6hw2fnoC8/MaNuAxByXtqTgTgghCuWZtiEALlhXl+hMWGgTC9MlE5KJD922jydPDbGvwyhl7hwenzXrbmU+vB4nVR4pxyplEoQsIe1DAbaYB8eHukf5wcOt7Db7q+fS8b6xxMH0o2ab16vPaMrJc1mZkEG/8aHUWOVOrLPwh6JcurGe11+2LuPHtTIhUxenJz4MzdKys1fVAGSc6akuc+Jy2OgbDfHzx0+z+5Sxg33jj3bzROvcv6PWASPouHqr8bqe6J/eIetw9xjX72ihzGXPaNsAVtYa61vaJQgReaaUulQp9Tel1BGl1Aml1EmlVGEXtomCO9A1Sl2Fi/UFbsubzJ5YEyJBSLqSsx/H+8b46/5uLvnM3ax//58TQclUVll0hdtOVZlDhhWWMAlClohILE7rQICrtjbhcdq4Y38PH/n9fl789Udy/tyv+r/HeOOPdjMcCLO3YwSvx8H6hoqcPJfbYRxgDwWMsqmGCjfBSIx43GjZe+by6nk97kQ51uQgZCw4efjhW67awD9ctJqX7lqV0eMrpWjyuunxBdnXYXTXWmt21/r8Xw/PeX+rfe5VW4wgpMfM/lgGxkL0j4Xm3QrZWmTfNjj/NStCzNN3gP8GLgPOB84z/xVLVDyuaRsMJDK0xUIphdOuiMjaubSdHpw4sXVqIMCPHz2V+P+f9nalvI9Vbmw1mRmVcqySJUHIEtE7GiIW16ytL6eluowHj/UlrhvM4aRurXWiHOrJ1iGeaB1k58qajBeGp8vKhHSPGM/ZWGUEIT2jQcLReOKMfqbqKlwoNX1NSHJaGKCluoxP3rIjUb6ViZW1ZZwaDNA7GmT7iir++q7LWVlbltaiu70dPlbUlLGytowyp31S84HvPniSXZ+8E4At8wxCPE47TV63ZEJEIYxorW/XWvdqrQesr0JvlMg/rTW/eaqd9e//Mw8e62djEWVBLE67jUhUMiHpSt5XPdk6xEPH+nnbVRvZ2FTJ0Z7UM68mMiEOyl2OBXWVFIWV/fZEoih1mYvSm6s91JY7Odk/sWbg6dNDXHNGZi1b02XNzAC453AvR3rGuOWczNdkpMtaE3K8b4yacicNFS78oWiivCmT+RjJ7DZFudNOYMqCb+sMTDY6fa2uK+e+I32EInFaqj24HXau3trEbU93zHnf/R0jnLm8ysioVLkTC8hHxiN8/I8HErez1qzMx8raMsmEiEK4Ryn1eeA3QOKIRWv9VOE2SeTTnrZhbv7fh6jyTC69uWh9XQG3KjWHTRGVTEjarKx9c5WHx83S4xt2tNDjC/LnvV2Eo/FpzWTGkjIh5S57QRvtiIWRTMgS0WVmBpqrPYlFfGvryyl32XngaH/OnteaLeF22PjJY6cBuHRD7vq5W2VRpwcD1Fe4qK904wtGOWVOT1+3gDKwcrcD/5QPu9HQ5HKshaivdDMwFqZrZJwms9PL6rpyfMHorNmqvtEQJ/r97DTXozR53ZweDPDTx05z41ceAOC1l6zl4zefOa8MjaWlpiyR1RIijy7EKMH6FPBf5tcXCrpFIq++/aDR2c8KQK7c0shHbtpWFG15p3I5bIRlTUja+swS5+t3NCcu29hUybXbluEPx1KuifRPCUKicZ0YTixKi2RClgjrzPgyr4fqMiMIuXJLE8+0DXOkJ3edstoGAygFrzh/FT94xKj13L5ifusy0lHpNsqiRoNR1jdWJuZvHOj04XLYMp6UnqzCZScQnpoJMf5flWHL21QaKt1E40b/883LjDKDDeYC9xN9Y9RVpD7rZzUXuHhDPQDnrK7lW/efSLTsBfjITdsWXAJXX+FiYExa9Ir80lpfVehtEIXVNhjg7FU1ic+0T9y8vejWg1gcNpssTM9Ary9EucvOK85fzfceagWMQO7SjQ04bIp7D/dy6cbJJy79SeVYZS5jnz4ejs2r/b4oLPmNLRG9o0Fcdhs15U5u2tnCzpXVvP6ydWxorEzZzjVbjvWNsaq2nBeabXE3mVPSc6UyKciodNupMaeYH+kZpcnrXtCBeLnLkZg5YrHKsSrcmXecmqqhcqLN5LYWo2zKWhDeOTI5A6G15l9/uYe/7OtKTKC3Fp2vnrJz/perN2ZlDU59hZFVkvaTIp+UUsuUUt9RSt1u/n+bUur1hd4usXBaaz7w27388dnOGW8TjMTY3znCRevrE5fNd21fPjgdSiamZ6B3NEij182WZi+vOH8Vn7hlO2BkOTYv83IkxbqQkXGrNb6DCrPboz8sHbJKkWRCloi+0RANlS6UUly5pYkrzS5K6xsruPWpdnzBSFbO5k91rGeMTU2VnLOqho/etC3xvLmSvDajwuWg1gxCjvaOcc7qmgU9doV7IhMyHo7x77c+y+nBAOUuOw77wuP5+oqJUqkzlhtBiDU/xJrxYmkfGufWp9q59al2XnBWC41eN+XmGaEbdrTw26c7uHprE6++eE3WJtPXmUHSkD+cKBcTIg++D3wP+ID5/yPALzC6ZokSorXmP/90kBvOauHc1bX87plOfvLYaX72+GluPCt1adVTp4eIxDS71tTyl3c+h4GxcM4am2SD0yblWJno8QVpNvcnn3nxWZOu27ysktue6aS138/apFLqbl+QmnInHqc90XJeFqeXJsmELBEjgQi1KQY6WWnO3z0z85mohegdDdJS48FmU7z20nWTPkhyIfmAu9LtoK5iIrBqWsB6CDAzIeYH3X1HevnDnk72tA1TU5ad4O1MM/C4aH1dIiD0epyUu+zTWgNb2Q+APz3bxZqk7EddhYtb33wJb71qI16PM2s77Abz/SNT00WeNWitfwnEAbTWUUCOOEpQ+9A4337wJK/81qOAMSkbZi9heuBoPw6b4pIN9WxtrppWmlNsHHbJhGSi2xekuTr1Sa1XXrAapeA133t80vDCruEgLdVGNqw8qRxLlJ5ZgxBlyGzggShKw+MRasqnHyyfvaqGFTVlPH4y+0MLo7E4w+ORSWf4c81uU4nBgV6Pg+U1E2n7hSzKBjMTYtai7mmfGKKUrd1NbYWLh957NT9+/YWTLy93MTRlYfrxPiMIsVLRuVxnY7FqsJP7uguRB36lVD3mn5pS6iIg9RQzkRX/e88x/uHbj2X9cZ8213SEonG6R4LsPjXE8moP4Vh8UsfGZPcf6ePc1bVUZCmjm2tOu01KVjMwMBamsTL1vvnC9fV8/ObtnBoIsKd9mD1tw9zyvw9x16HeRJXAbOVY3SNBYtKprKjNGoRorTVwW342ReTSUCBMTdn0TAgYsyOO5mBx+lAggtaT1zrkQ4MZbFSVOSl3ORKdq5q8CyshMtaEGB90yUHB1CzFQqyoKZtW2lVX4UoMX7Qc6TGmBX/178/lhh3NvO3qjVnbhpmsqjWCkKmlYULk2L8Cvwc2KKUeAn4IvL2wm7R4RWJxPv/Xwzx4rH/SNOtseMpsle522Djaa+xz3vCc9cDkdu6WUDTGgS5fUbbinYnDbpNhhWmKxOIEwjGqZ6kmeOHO5Xg9Dr5811G+9cBEwxUre2IFp2NT5mkd7xvjok/fxft+82xuNl5kRTrlWI8qpWQ6bYkbCaTOhICxWPxEnz8rHT1++Egrl3327sSEboC6PGZCYGKRuBV8lJtnSqxOWfNlTGY1Puh8wQir6srwOG38y9WbFvS4c6kpdzIYmDwR9nD3KGe0eLlqaxNfe9WuxET3XKoqM6bTdgxLECLyR2u9G7gCuAR4E3Cm1lqOLHLEamcO2c96JmdCnjltfP+87c2Uu+yTuvlZOoeDaA1r6nNbxptNLruS7lhpshaYV89wbAJQXebkVReu4d4jffzp2YkJ6i7zZJ11XDM8Pnkfef8RYyBzrkrNRXakE4RcBTyilDqulHpWKbVXKSU7gBISi2uGxyOJRdpTbWyqJByL0zaPM9z+UJQrP38Pv326HYCv3XOc9qFx3vij3RNDiKrzG4S4HVYQYnw4Oc0Pq2ULXExdU+5kNGR0h/KNR2msdLP/Y8/n7dfkNgipq5hejtXtC7K8Or8dYpRSrK4rZ3+nVMKI/FFKPQm8EejUWu/TWkfmuo+Yv86kkwxdI9mbCxSMxDjQOZKY1XTvkT4qXHaWV3vY1FQ5aZ2bpX3ICIKKuRvWVA6blGOly2cFIXOsq3zJrhVoM7n0iZvP5E1XrOctV20ASHTAHJ5SLfDw8QHACHiP941Na68vikM6Qcj1wAbgauAm4EbzX1EiekeNusiWmtQH4VZacz5lRXvahmkdCPCuX+zhZ4+fTgyz29s+kpg/stAyqExZZ6HqzYXUr71kLQC71tQu6HGtD8rRYNToJlbmzGm7YUtDpZu+0RDa/BSOxuL0jYZmXMyXS1dtbWT3qaFEWZoQefAKYAXwhFLq50qp56libo9U4rpGJoKQviw2oTjWO0YkpnnJrpUA7D41xPrGSpRSrG+s5ETf9CDkqNmetVhngqTisCsisjA9LVYmZK7OnBubvHzvtefzpsvX8w8XreF915+ROK6o8jiw29S0kuV9HSOJwczX/Nd9vPnHT+XgJxALNWcQorU+pbU+BYxjLAy0vkSJ6EsaVJiKlSEZGJt5KvdM9nZMnBV/32/2AvCj119AOBbn50+0AdC0wDKoTL364rUAnLfWqCN+/WXrOPLJ6xOZkfmqMLtwBMJRfOO5aWmcyoqaMsYjscTU9P6xMHG98MzOfJy3po64hmfbJRsi8kNrfUxr/QFgM/BT4LvAaaXUx5RSpbNYoEQkZz96R7OTCTnaM8qn/nwQgGvOaMJhnrxZ32hkRdbUl9M5EiQUNdagDPrDvPfWZ/ninUfYvKxyUoORYueShelp6zePOVJ17pzqqq1NvO+GM6Z1e1RKUV3mZCipZDkcjdPtC3JD0hT2+4708fs9UppVbOYMQpRSL1RKHQVOAvcBrcDtOd4uMQetNU+0DqbV+cEKLupmWCBeb81/CGQehExN17/3+q1cvL4el8PGiT4/Z7RUJcqj8uXFu1Zy+JPPT5wFUUplZZJqcj/yoUCEqrL8dGuxShGstRhWmVshghBr1kqq+m0hckUpdRbwX8DngVuBlwA+4O5Cbtdi1Dsaoq7CRaPXzaGuhTcs0Vrz6u8+zsPHB2jyutnYWJnoVLi+oRKY3PRiPBzjuV+8j58/0cZoMMprzEx2qZAWvemzSv9WLDDIrCl3TirH6hoZR2s4a2XNpNs9fnJgQc8jsi+dI7NPABcBR7TW64BrgIdyulViTr99uoOXfuMRvvvgyTlva5VZNcywQNzKhAz6Mw9C+sdCrGuo4M1XGvWZzz+zGYfdxs07l+OwKd6eh65NqeQi8LEWuPf4goyMR6ZNJs+VleYO2lowapW8NRcgCKkpd7GipoyHjvXn/bnF0qSU2g18EXgCOEtr/S9a68e01v8FnCjs1i0+vb4QTV43l29q5Pd7OmftkBWOxvnI7/Yl1m6kcqDLR9dIkJfsWskf/+UyHHZbor7fyoRYJ1rah8a593Bv4gw5wE07Uw8xLFbSojd9HcPjuB22BXfQbKhw0z868Z6xjmUaKl38x/O38u7rNnPO6hr+ur+H0wOFbzG/t32E1hlaUi816QQhEa31AGBTStm01vcAZ+d2s8RcrC4Rf3x27vTigPkHWT/DH7rHaafMaZ+2sCsd/WPGJPZ3XbuZJz94bWIY4adftINH338NN+xoyfgxi5U1FKndXMCfj45UYOyobYpEG+XeRCYkv2Vullecv4oHj/XTJvNCRH68VGt9jdb6p1rrSYsUtNYvKtRGLVYD/hANlW4u32wMBfzeQ60z3vbJ1kF+8Mgp3nvr3hlvc+9ho0vRfzx/a6KO/+ZzjMDCmm9krfloGwqwv9OH3aZ46kPXce97rsxb2Wu2OO02IvG5g5Bv3necr959lHsO9/K1e4/lYcuKT8fQOCtqyhY8UHd5jYfOpLVMVhdLr8fJm6/cwL9cs4nNTV76RkO8/gdPLOi5FioSi3PTVx8s+HYUi3SCkGGlVCVwP/ATpdSXAFmVWkAjgQj3HO4F4HDP6JxnXfpGQ3ictsSZ/FRqyifXVKarfyxMfYUbl8M26aDcYbfl7SA9X6zXz5qTkU4dazZ4nHbWNlRwwCyN6PYFsdsU9QV6fW84ywgsJRsi8kFrLdmOPBryh6mrcHHTWUagcPu+rhlva60JHDUbVYyFoonBt5/680E+eNteHj0xwBktVZOGxb7nuVu45z1XJjplLavy4LQr2ofG6Rwep7nKQ12FK3FSq5Q40yzH+vTth/jCHUd4zy/38Lm/HObRE0ap0KkB/6Tp4ItZ+/A4K7LQ+WxFbRndI8FEU5qJIGSiZPrSTUZQfbR3jNFg4RrsWX8zx/v8+Aq4HcUinSDkZoxF6e8C/gIcR7pjFdTR3lHiGl6yayXBSHzORcJtgwFW1ZbPerahuszJcIZBSDyujR1GAbo0FYI1f8RamzFTy+NcuHBdPQ8c7SMQjtI9YpRL5KMzVyrrGyqoKXfytNnnXwixeAyaQYjNprhqS+OsGc9P334IMGZjALz5x7t52Tcf4fGTg3zr/hP8+NHTPHC0n7PMjIfFabclAhAAu02xvKaM9qFx2ofHWT5DJ8dS4EijHGs8PFHiFooat33k+AB720e44vP38t2H5i6zXgysTMhCbWmuIhrX7DMHXlpBRnIzmht3tPDZF+8A4InWwQU/53zdZ2YGAZ5tkwYv6XTH8mutY1rrqNb6B1rrL5vlWaJArAFSrzh/FQCPHJ/9jHTnyNxnG2rLXRmXYw0GwgTCsUk7k8WszCzHsjIhdXkMQm46q4VQNM7DxwboHQ3SVID1IBalFOesquGp00MF2wYhRPZFYnF8wWhiANz56+oYCkSmzVgYGAtx3if/lvi/lUW3sqO37m6fdPsL1s3dxGxlbRmnB/wc7x1jQ2Plgn6OQnLa5m7Ra7WvByN7BPDU6SH+st/IOi2F7oPBSIz+sVBWOp9duqEegDsP9ACpMyE2m+KFO1fgtCseO1G4IOT+o320mCduTw7IupAZgxCl1KhSypfia1Qp5cvnRorJWgcCKAU7VlazvNrDiTkWOHWPhBJv+pkYU7kzDELMtSZ1eSpLKrRyp5EJOTVovN4zrbHJhXPX1OJy2Hjs5ADdI0GaC7QeJLE9q2s52js2aaaAELmglCpXSn1IKfV/5v83KaVuLPR2LUZWNtz6TLcGonYOT+6C+Oe9XfSPGRmTSzbUJ/YFVkOQOw8aB4Pfe+35fPzmM7nlnBVzPve2lir2tI8w4A+zsamEg5A0MiF3ma+P5frtzTxwtJ//vec4YKzLWeysk6nZGERZX+lmfUMFJ/qNuTKjwQhKQaVrcgfLMpeds1fV8NjJwgQhw4Ewe9qGeemulXicNk7J4vSZgxCttVdrXZXiy6u1rsrnRorJTvb7WVlbhtthp7HKM+tAqXA0Tv9YiOaq2f/Qm6s9dI8EEwPx0mHteOqXSBBS4XagFPT4QnjdDirc+WnRC8a6kO3Lq3imbZhuX7Ag7XmTWfW1f5C+6yL3vgeEgIvN/7cDnyzc5ixeVjbcmkK9ut5YMD51kOCe9hHqK1zs/uC1nLemluFAGH8oyrjZSWvAH8ZuU1y5pZFXX7w2rdLRs1dNDJPd2ly6hxhOx9xByMPHBxKdwYDEAEdLa//ibvoRjcV57hfvB6a30Z2vVXXlicBmMBCmusyJLcX7bvMyb+J2+WKNUrj/aD9xDVdsaWJNXQWtRdCpq9BmPIqaawiU1rpw+awlrscXpMU8Q9Xkdc9as2vNlJgrE9Jc5SEQjhEIx9I+uB7ypz9oaDFwOWwsry6jY3icZQVYB7NjRTU/eOQUQOL3XyjnrKphyzIvdx7s5Y2XbyjotszHU6eNqe+XbWxYcGcWkXMbtNYvV0q9EkBrPS4T03Mjkd02gxDrLHXPlBNdbYMB1jdWoJSirsJFXJNYWL2mvpxTAwF2rqzO6G9r2/KqlN+XGo/DTiSmicbiOOypz/OOjEfYsszLO6/dzLaWKlxJt3vrVRv42r3HCUZieJz5nbGVL0+0TpTyrs9SOffyGg/7zTUhVpvpVFqqPQz6w3l7fX3BCFd/4V4aKt0MByI0ed3sXFnNmvpyjvWOzf0Ai9xsR5u7MSajp/oU0cD6nGyRmNOgP8zmZUa6utHrZvepmWvzEzMl5jhoriozaoBHxiP4Q1Fe8o1HeO/1W2dtsdtnzh/JZ1lSoW1oqqTD7N6Sb9uTFnduaS5suYJSijNXVPHI8dJbHtba7+dFX3s48f9P3LKdf7xoTQG3SMwhrJQqw9jvoJTagJEZEVlmre2orTD2B9XmfmF4ygyprpEgZ6+qMW9rfP4f6jbWOXzllefQOhDgqi2NGT33WjPr4nU7SrrEt8xlBBTBaJzKGYIQXzBClcfJC80ZKFY3rHUNFWxe5kVro1xp8zJvfjY6z+470ofDpnj6w9elzFbMx8racgb8IYYDYXpHQ4l20FNZVQQ9viBr6nO/nvWJk4P0j4UTs2/eee0mHHYbO1fVcMeBnsR7YamaMQgxBxOKImR1LwEjgzFbVG9NNJ8rE2J1qDg9GGDQH+b0YIAv3HF41iCkY3gcl9024xDExWh9QwX3H+mjqQBrMs5fO5GcPKOl8GcKV9eV89unOwhFYzkZDpkre9qHJ/3/c385JEFIcfsIRmfGVUqpnwCXAq8t6BYtUkNmOZbV+c/tsFPusjM8PtE5MRbXdI8Eadlh7FPqzc//w2YQ0lDpnleJjVKKP779soVsflGw9sPBSIzKGaoKfONRqsomL5q+7a2XUls+0aXyZL9/UQYhoWiMb9x3nAvX1U3qXrVQVvB2aiBA32hoxgyL1Ujna/cc52M3n5nzbMgjxwdQCj584zb8oWiicsBqvtDa789aSVopSqdFL0qpFyqlvmB+yYLAAorHNcOBcGInYdWVnujzT7pNKBpDa83RnlFsClrm6EBhpd27RsY5aS6WOtHnn7W2tWPIaKWYrTMZpcD6AFMpE4S5ldwzvxCZmKmaqzxoDQNjmQ+5LKRjvWPYbYrDn3w+b7tqI4FwbNap0KKwtNZ/A16EEXj8DDhPa31vIbdpsbLKsZLbj9eWuxLBCUD7UIBwLJ44yNvSbBwoP2h2xlpIFmP7iupJGd9SZB3UJrfhTRaOxhmPxKad/T57VQ1r6isSn/Nv+tFuvvPg4mvVu8dsS3ux2dEqW6x9YrcvSN9oiMYZThRa2Y9fPNnGB367L6vbkMqDx/q5cF0d/3TpOt529SZcDuOw2zqW+P0znbz31md5eol2m5wzCFFKfQZ4B3DA/HqHUurTud4wkdpoMEpcT6TJNzUZO4Cn2ybewH//7UfZ8sG/8B+3Pstvn+7g/LV1M56RsTSY9ZP9o+FJPbT3tA3PeJ/O4fGstNcrJVYJQrY/QNP1m7dcwg9ed0FRrGOwyjAG/aUVhDzTNszGxkrcDjvbllcRi2uO9khtbrFSSl0KBLXWfwJqgPcrpXKaurr7UA9r3/snvnTn0Vw+TdEZDoQpc9opSxpsW13mZCRphpSVXV9Za5RPNVS6cNltDPrDVLjsi3YdQ7rc5kGmNf9jKmuGhVUCPVV10uWf+OOBLG9d4R3oNIKQV16wOquPu6xqIiMXjsVnLMdq9Lr5zVsuYUNjBQ8f78+oGU+mAuEoh3tGuWj99OOFNWb54bcfPMnPn2jj3b/ck7PtKGbpZEJuAK7TWn9Xa/1d4PnAC3K7WWImw+OTz1RtXlaJx2lLBAtPnx7iUbMH9i+fbKd9aJznb2+e83G9bgcuh41jvWPcf6SPV16wGrtNcf/RmWeQdAxnZ9BQKdm5qoanP3TdtG4m+XLu6lqu2JxZrXWu1JVoENI64GdrixG8W2VtB7uLs+v40Z5RWqWN49eBgFJqJ/BvwCngh7l8wtd9/0kAvnjnEcIzHEwuRgP+MLXlkw+O6ypc9I9NLMGxsu5Wia9SihZzuGDdElofOBMrCJnpfWPtn2vKZy5F+vCN2wBjiGMuD5LzIRbXiUnmAPs7fdRXuGZcOD5f9ZVuKt0Obt/XDTDr45+7upbXXLKWrpFgIqjOhRN9frSeOFmczOM0Sh0BtjZ7OTUwvfIkHteLfqp6WuVYGGefLKWdKy1x1sJB6wPMGBxXy94O4yDql0+2U+Gy84WX7kzcJ50zDkopGipcPHJigLiG5565jLX15RxNGqqULByN0zuanUFDpWapdAObixWEDGU4X6aQ4nFNz0go0ahhRU0ZNgXtQ8U57+Sjf9jPu3/5TKE3o9Ci2jgSuxn4stb6S0DOiuXvPjR5hkPrEhoo1j44fbDtqrqySX8fR3pGqXQ7Jg2pXV1nnNWtW0LrA2dilduEU5Qy7z41yFt/+hQwe0nt6y5bxwdfcAaxuE6sESlFwUiMDe//Mxs/cDsAH/39fn61u50dGXZOS4fdpti1ppaDXcax0FxBjhUYHO/LXRbcatZgnfSa6ndvvZTXXLyGV1+8lrg2qkssoWiMl3zjYS74zzvp9eUuUCq0dIKQTwNPK6W+r5T6AUbXrE/ldrPETIam9HEHOGtVNcd6R4nE4jx4rI9LNzZw89nL+bfnbeGh916ddnp8eU1Zon/2tpYqlteUTfqjSGbMFGHOSexi8bLmw8w2p6bYDPjDhGPxxBA2l8NGc5WH9jz3jU9X+9B4wdsxF4FRpdT7gH8E/qSUsgM5ayfjDxm1/G+50lhAuq9j8U+vtqTKbq+qK2fAH05M9u4dDbKsyj3pILKh0jjgWyozo2ZjNekIpVhn9vJvPpr4vmmOdX3WWpsDXcWZpU3HU0mdO3/1ZBvff7gVgJedtyonz7e8ZuI1nev1tYLoUzmc1XGoy4fbYWPtDF24Ni3z8rGbt7PBXNt7ejCA1pqRQIS97SM8dXqYYCTO07OUxZe6OYMQrfXPgIuA35hfF2utf57rDROpHTf7SidPGT2juYpITHPr7nbaBse5aH09TruNt161MaNyqcvMAXRgtLFbXm2cAbPSwfG45t2/eIZfPHE6cfZg5RLMhAhDdZmTMqd92jTlYtY9Mr1l9dqGCo4XYcmTLxjh1ECgpGcmZMnLMVryvk5r3Q2sAD6fqye78awWfvOWS3jXdZup8jgS8y8WO621EWBM6aRoZTmseVQ9vuntT63go5Rb62bLTJkQrXXiupeftyrRkngm1pqb7hyWC+XanvaJAP6zfzkMwOMfuGbWrpsLYZ2wUWrujqBNXjdOu8pZFvyrdx/l2w+eZPMy75zDOq2hoKcHA7z/t3vZ+fE7JgWfe9sX74mQGYMQpdS51hfQgjGltg1Ybl4mCqB9aByvxzFpYrZ1xuS9v9kLwOXzXDNw41nGB8PVW5sAI8My4A9zxFy0++Cxfn7zdAfv/+0+7j7Ui9th48zlUp23VFmDyoZLqByra8TY4SxPyi6sqi2ne6T4yrGsQVZr5jhYWezMwONWwKqv6Ad+m6vnU0px7upanHYbW5q9OT1TWkwG/WEiMT2tTMgKQqwsed9oaFqL8kqP0fhkKc87sFiDB6euCRkLRQmEY/z787fw2ZecNWc5kvV76Bkt3SBkb8cwVeZ7o38sxOWbG2dcMJ4NVuDhdTvmrACx2RSr68p5JAcnGY70jPKFO44A8OqL5+6hsczrwe2wsb/Tx88ebwPgD3s6ASNj8/jJxTsbfLZMyH+ZX/8LPAZ8C/g/8/sv537TRCq+8cik7hlg9Jt2mJH2BWvr2Ng0v0F2G5u8/O1dl/P5l5wFwHXblqEU3L6vC4DbnukAjIVmP37sFLvW1FI9y+I6sfhVlTlLauFcV4pMSF2liyF/pOgWgFplQOetqZvjloubUur/Ab8GvmletAK4LR/PvbquglMDAYKRWNG9P7Ktwyy9nSkIedOPdtPa7zfan1ZODkLOXlWD3aa4dltTfja2iLmdqbtjWWs70i1ZK3PZcTtskzqTlZr+sTBntFQlKjKssqNcsdaoJnd3m82Lzl3JnrZhTmf5RIMVNHzoxm28NI3SM5tNcdnGBn762OnEZU+0DlHmtHPdtmU83TY0Y8vnUjdjEKK1vkprfRVGJ5Jztdbnaa13AecAx/K1gWKyVNM1XQ5bYo3Ic89ctqDH37TMS725g2nyejhrRXWiHOFQ12iiRa3Wk4fniaWpyuPAF4wWejPS1jUSxGlXkw4E6spdhGPxRM17sTg1EMDjtCVaTy5hb8UYUOgD0FofBfJytLu2vpxuX5CzP34Hn/vr4Xw8Zd5FYnE++5dD/PJJ4wzsOatrJ12ffNLr+w+3Mh6J0Thl0e+VW5o4/Innc8mGBpa6mTIh1oLpjSk6Jc3E63GW1OfrVP5QFK/HwXlrjffU1PdWtllz015/WXqztq89wzheeuxkdrMhvb4gNgWvvWRt2ve5dOPE385y8yTZqroyrt7aRCSm2fmxOxIz3BaTdBamb9Va77X+o7XeB5ydsy0Ss/IFJ09atayuM84AZHvQ0xktVRzpGSMai3Osb4wL1k0EHjefvTyrzyVKT1WZE9946Zypax8K0Fw9ecCm1e1syF9cP8epgQCr68qLYiZMgYW01omaP6WUA8hLWsKq1Q5G4nzjvuPE4osvG3L7vm6+fu9xfvzoabYs807KEoJRnvb1VxkV2HeZncOWpVj067Cn22xzcXObZUCh6OQz1wNmK/PkxdNzqSpzJOaKlKKxUJRKt4OPv3A7X3rF2dyYo7UglpbqMvZ+9LmJqeRz2dRUSXOVh3sO92Z1O/rGwtRVuOZcC5LMCkJcDhvvum4zABVuBxeuq+PvzllBOBbn+w8tvuGV6XxqHFRKfVspdaVS6gql1P8BB3O9YSI13/j0TAjAF19+Nm+7aiPnrK7J6vNtafYy6A/z6IlBwtE4m5d5+cHrLuBzLz6L9Y3zK/sSi0eVx8lokZ6pC0Zi/O89xxIzdLTWPNk6xFkraybdrq7C+HsaLLK1LQe7fCn7yy9B9yml3g+UKaWuA34F/CEfT3zR+nrWN1Rw7RlNaM2iPBP5s6QSkOdsSp3JuH5HCy/ZtZK2QaNka8dKWQs4E4+5+DwYmZwJ8ZuZ1nLX7IODk5V6JmQsGKXS46C63MnNZ6+YdPInV7wZrEuy2RTbV1QlZt9kS/9YKNExLl2bl1Xy1qs28PVXncuLzl3Jmy5fz3/esgOlFF98+dk8/8zmxAyUxSSdIOSfgP0YU9PfiTE1/Z9yuE1iFr7xSMo/sjX1FbzneVsS7QGz5cJ1xqTP7z9sROBbm71csbmRl52fmxZ7orR4PY6izYR8874TfP6vh3nHz58mGotzst9Pty/IpVNKRqyFkjO1o84naxv6RkN0DI8nyh+XuPcCfcBe4E3An4EP5uOJl1V5uPs9V/LPVxhnVtuGFtci9bFQlMdODnD+2lrWN1TwmlnKRy5IKr9dN0PLUUFiQfT4lBa9AbOmvzzN9QpglLuWciZkNBSl0l3c60ZX11UkWuNmS/9YiPoMB3cqpfi3523lmjOWYbcp3nfDGZM6I25fUUXvaIhAuHSD0lTmDMm11kHgi+aXKKBwNE63L8iKDNK5C7W12UuVx8GdB3ux29S8F72LxamqzMlYOEo8rvNylisTv3m6HYDWgQD7On08c9roWX/JhvpJt7PqiI/2jMGO/G5jsi/+7Qhfuuson3nRjkTN/U4JQtBaxzGaovxfobbBWpxdrPNk5utozyhxDW+8fAPXbZt9PaFV19/kdRfd33oxsYKQYIogxGlXODMoW/N6HDmd6J1LoWiMcDSO15N+5qcQ1tSXEwjHzK5v2Tm26hga5zmb5teldCZrk+aanNGyeNq2SxFnCWkfChDXRtYjX2w2lVgHcvXWprQHH4qlocrjQGvjjFcxaRsMcGogkDiD/diJAX61u50zWqqmtbwtdzlYXVfOkZ7RQmxqws8eN8pi/ufOo3zz/hO4HTa2r1g8O5v5UkpdqpT6m1LqiFLqhFLqpFLqRD63odHrxuO00brI2vVaMxKsIGs26xsr+d+/P5ffv+2yXG9WSbPbFC67bVo51ng4mlEpFoDXXVpr7pJZ86NSrR8qJtbBfbb+toORGL2joay3VrcGHrYuspJQCUJKSOuA8eaz/mjy5cXnrqTS7eCd127K6/OK4ldlds4pth3lU2bW4+azl7O+sYLfPdPJ/k4fN2xvTrnQe0uzl0PdhZtMPBaK0jsa4oK1dXT7gjx+cpC3XbUx44OWReo7wH8DlwHnA+eZ/+aNUoq19RWLbmZIquGds3nBWS1p33YpczttKTMhmZRigbUwvbhO8KTLGm65qra4BxpbQyOzdXDf6wsB6f9NpctqknEqz9nYtsEAA2OhnD1+Rns4pVQtMKwXe8P0AjvRN4bX45zWBvFkv/HmW5fnIOT6HS0898zmjDo9iKXBGkRVbLNCWvsDKGX8rVy4rj6RZbj57BUpb7+12ctdB3sIRmIFyfZZO8B/unQt1+9o5rdPd/CPaQy5WiJGtNa3F3ojGr1u+nK4My6EzpFxKlz2xN+xyA6P0z6tO1YgEkt7foXF63EyHokRicUzKuMqBtb6qVVpZNkKaUVNGQ6b4uRAdoKQbp8Z2Gc5A1TlcVJb7uRE31hWH3cu7//tXnzjEX6XowzobBPTP6yU2mp+71ZK3QMcB3qUUtfmZGsE4Wica//7Pt7wgyemXdfa78frcVBbgAGBEoCIVKxObb7x4jpb1zrgp6XKg8dp5xXnr6LcZedLrzg7cTZpqnNW1xDXsPVDf0lMqs2no71GKdjGpkr+6dJ1/P5tlyVm/wjuUUp9Xil1sVLqXOsr3xvR6HXTP7q4gpCu4SDN1R5pA51lHmeqcqzMMyHWeoqxEsyGtA2O47Sroi/HcthtrK4rz1omJBGE5CBjuGNlDfs6fPx1fzcXf/ouPn37waxmKfrHQnzvoZOJVuSxuOZgly+nnVBnC61fDljTmV5j/tsIXAF8KmdbtMTtPjVEXMOe9hHiST3pf/lEGz969BRbm72ywxBFwyrHKrYOLvs7R9jSbLS33bmqhgMff/6MWRCASzY04HUbO/y3/+xpHj0xwFt+spuukfx0zLLqp1fWFvdZwwK5EKME61PAf5lfX8j3Riyr8tDjCxKNxee+cYnoGhlPTJkW2eNx2KdNuB4LRqnIdE2IdZKnyD5f09E2FGBlbXlJnMBc21DB7fu6+cJfDy+4S5ZVhrYiB39Xm5oqOdIzyn/c+ixdI0G+ed8J/uPWvXPfMU0f+O1ePvaHA9x10JgHtL9zhP6xMFdszu4i+2SzBSHhpLKr5wE/11rHtNYHybCMS6TvWO/E4tjOpAOgb95/HIAP3bgt79skxEwSmZAiOlMXMdvxZtJBxOO089SHr+P9N2wF4N2/eIY/7+3mU38+lKvNnKRvNITX7ci4XGMp0FpfleLr6nxvx+ZllUTjmkPdhW1gkC1aazqGx2mRNR5Z53HaCU4px+r2BTPOCliZkNFglH0dIyU1rK5jaDwnB+K5sN1shfvVe45x58GFDS480ednWZWbCnf2D5PXN1YQjWuGAxG+/MpzuPns5dx1qCextmshtNY8emIQgEdOGBPk7zzQg1Jwycb62e66ILMFISGl1HalVCNwFXBH0nVyui5HhgITZzxa+ycWIPlDMV587sppg9aEKCRrJ1lMC9PbBgNEYpoNGaaQnXYbr79sPQCd5of6X/Z1MZaHzl99oyEaqzIbbrWUKKVeoJT6d7NM+MNKqQ/nexsuXm/Ml7nTPEtY6o70jNE/FubM5TJ4MNvKnNMzIYGwMbgvE3UVRklm31iIG7/yIB/9w4Fpj1usukeCJRPgvv2aTfztXZcD8Gz78IIe62T/WM7W7V68fiIYeO62Zbztqo1oDX87sPAhhj2+ECPmfvyv+7oJRmI8dXqY7curE7O0cmG2IOSdwK+BQ8AXtdYnAZRSNwBP52yLlrhB/8TUZmuhVDQWp3c0yPI8zgcRIh3eIlyYbk21XteY+Y7AblO893ojG7K+oYJITPPwsf6sbl8qvaNBGjOcsLtUKKW+gVEe/HZAAS8F8r5qv7naw0Xr67j1qfasDjYrlIfM9/W1c8wHEZmrcNsTwwktgXCM8gybXjSZzWmePj2cuKzYB2aGojF+vbudvrEQ9SXymea029i0zMvWZi+PmlmA+Tg14OeZtmHWNeRmDcX6xkped+k6/vtlO/E47WxsqqSl2sPDx+e/zZZn2oYBeNtVG+kcCXLXwV4Odfs4o8W74MeezYxBiNb6Ua31Vq11vdb6E0mX/1lr/cpcbdDte7u49DN3TzoYX0qGAmFW1pbhdtgStYVdI0HiGlqqSyO1KZYOh92G1+1gqIj+Xk+bfzdr5tmV5Z+v2MA977mSP/7LZdhtimfbR7K5eSmdGgjIepCZXaK1fjUwpLX+GHAxsKoQG/KCHS20DY4vinkhB7t8NFS6SqZkppSUux34kyZba60Zn0d3LKt865HjEydCslF6k0s/f7yN9/xqD7G4pq6iuKelT3XpxgaePj1MZJ7rvr74tyOUuxy87tK12d2wJB++aRsvOnclYLQOv3hDPU+eGlrw41pLAf75yg00ed289adP0T8WzvlgxNm6Y717yte7lFL/qJRal8sN8jjtdAyP570NWbEYCkSor3SzKqlbgzUfJN+teYVIx7rGCk4U0QClvtEQDpuidgHdpdY1VFDucrCuoSLn80NC0dwMt1pErMVxAaXUciAC5HQ/NJOLNxglWQ8e7SvE02dNPK6570gfu9bUFnpTFqUKl51AKMbIeIRYXBOKxtGajIMQj9NOTbmTJ1onDjL9RTYYdqonWgcT3y/kM7gQzlldQzSuedcvnpnX/fd2jHDZxgY2Lctt9iDZuvoK+kZD0+bSZOr0YIBGr5tKt4N/vGgi0Xzu6tx+RsxWjuWd8lWF0aHkdqXUK3K1QavqjLMyHcP56UpTbAbGQtSVO1nfMHFgZ2WFmqRmXBSh1XXlicnLxaBvNER9pQtbFrqy7FxZw2MnBonE4vhDUX71ZNuCP+yn6jPbvi6Tv++Z/FEpVQN8HngKaAV+VogN2dBYwfJqT1bOPBbS7tND9I6GuGFHS6E3ZVGqcDsYHg+z82N38IpvPZIozcq0HAtg1ZQMaT7WqC3E7qS/DWtNS6l4gfn3cP+R+Z1k6BsN5X2Yp9V2vm2BQwzbBsdZbVYPvO3qjfzmLZfwf68+j52raha6ibOacZWUmfaeRilVB9wJ/DwXG9RYafwC+xZZP/Z09fiCnLWymtpyF3cf6iUSizNsLlavKSut1KZYGlbWlnPH/h7icb2gA3+rzn6hLaj7x0I0ZKkW+bptTdz6VDs/eLiVT/7pIABPnR7m0y/akZXHB2NBIJDTxX+lLKkc+Fal1B8Bj9Y69zVyKSilaKkpK/n9092HerHbFFduaSr0pixKFS5HYk7IE61DDAeME4nz6X63fUU1eztGeO0la/n+w61FnQkZCUToSioXK7UgRCnFvz1vC5//62FGxiNUz3DM5Q9FGQ1GJwUcwUgMXzBKQ2V+f+atzUa51FOnhxaUgTk9GOD8tUbWQymV8wyIJeMRnFrrQYzFgTlRVebA5bCV/If8fGhttF6rKXdx1spqonHNoycGGDI/wGb6gxCikFbWlhGOxenyLaxW+Yt/O8Jln71nwetLjLaj2alzv25bMw2VrkQAAvCzx09zz+GFtXFM1mO+bpLpTE0p5TFLgn8D/BR4nVKqYBFbY6Wb/hKfnP7g0X7OW1Mr+5QcGfBPfn8c6DJKOssynBMC8N7rt/Kmy9fztqs3AuAv4u5Y1liBt121kRt2NJdk57UzzXa9BzpnLsP9918/y0Wfvou7D010yrOOWRu9+f0c37yskpW1ZXz/4VOJfUmmIrE4XSPjBZlun3EQopS6GshZLlopRZPXTe8SDEJC0TjRuKbS7eDKLU143Q7+vLeb4UAEr8eBw57xr0uInNtqDgU8ssD5CV+++xgdw+N8+e6j834MrTWnBwNZW19htym+/g+7uHRjPZ978Vk89aHrWFVXxgd+szfRhWuhjvca699kzdeMfgicCXwF+CpwBvCjQm1Mo9dd0ifJgpEYeztG2L6i9A4QS8Ul5tohy6Eu47OxbB7lWNVlTt53wxnUV7hw2FRRl2ONmvOiLlxfx9detQuXo/SOWazW7rN1IfvbASP4+NBt+xMZfCsDlO8GQkop3nrVRg52+bj5qw8RiqYOUjuHxxMteKc6NRAgrkmUY+XTbAvT9yqlnp3y1Q58BnhLLjeq1D/k58tKs1a6HXicds5eXcOz7cMMB8Ilt8BLLB0rao0P3a45urY82TrIvo7UVTTtSR/433uoldPz7D7UOhAgGImzfh7teWdy/to6fvKGi3jZ+auoq3Dx2Redxch4hH/49mN0mmvXfvToKf7rjvlN2919eohVdWWUz+Ms6RKxRWv9eq31PebXG4HNhdqYRq+boUCEcLT0JqePBiNs/8hfAdjSnL/Fs0vNc8+c3PbYyhCUL2AYqVKKCrejqMuxRs1W7dYQ21JUb5ZTDYylzsgHIzHCsThNXjcdw+O0DRq/Wys7mu9MCMArL1jNvz1vC92+IHcemJ6lD0fjXP+lB3j1dx9Pef+nTxt5hbNzvP4jldnC1BuBm5K+bsTYGVygtc7pGGEjE1LcbehywR8yIlhr0uZZK6s53D1Kjy9ETXnp/lGLxa2x0o1SxkTgmXzzvuO85BuPcONXHkx5vdUH/1/MkoM/7+tKXOcPRYnF0zu4t7oWXTrlTGQ2XbKxgS+8dCcdw+N86LZ97OsY4UO37eMrdx/j/qOZzRTxBSM8fGyA55/ZnKOtXRSeVkpdZP1HKXUh8FChNsZabzS15KYU/OKJNqJxzYqaMlmUnkNux+Rgo2vY+GysXOAU7Uq3o6gzIda8KG+GQxmLSbnLgcdpY3CGv2/rBPkt56wA4GGzffKAGYTU53lNiOWNl6/H63bw0PHp+6C7D/UwMh5hT9swT52eXMgUjsb5t18/C5DxgN9smG1OyKkpX6e11nnpw9m4RMuxRkPGH3Cl2/gAO3O5sS7kyVOD1EgmRBQph91GQ6Wb3hmCkGAkxqdvnzhvkSpdfKDLh8OmeOvVG9m5spqfPX6aeFxz18Eedn7sDv4zaU3GbO470s/K2rKct7u9fkcL77p2M3cd6uXGrzyI3VyQ/7unOzJ6nP0dPsKxOJdtaszFZi4WFwIPK6ValVKtwCPAFVa2Pt8bY53pLMVs/e5TQ6ypL+eh91694ANiMbvWz7yAE5+6AZuCLjMTUrHA17zCbS/yTIixbd4SzoQA1Fe4Z8yEWCfIL95QT5PXzd2HetFa0z8WRimoK9CxmtNuY2uLl6M9k8uiA+Eon/jjQeoqXNgU/P6ZzknX7+s0qhNesmtlVjpKZqooC/aavB6GA5EZa9sWKysTUuk2/oDX1hslJZGYls5Yoqg1V3kmZUJ++UQbN3zpAR461s+RKR+K+1Ms+Nvf6WPzMi9uh503PGc9pwYC/HFvF1+88wjRuOZ7D59MlD7NJBCO8tCxfq7a0rTgDlvpePOVG7hofR0Ab7lyAy/dtZI7DvQwEkh/evxBc8FqrqfSlrjnY8wFucL8WgfcwES2Pq+sIKQUF6cf7PKxLcfDx8QEm01R6XbQaWZCFpohMMqxive4aCIIKe0At77SxcAMDVJ6E90M3Vy9tYk7DvTw4q8/TP9YiNpyV0HX7m5s8nKkZyxRFnzv4V62ffivdAyP87VXncv1O1r47dMdkyoL9psl0u++rjAVrkUahFgf8sUzhTkfrDMcFWYmJPlsbq2UY4kitqzKnZjke3ogwL/f+iwHunz86y/3JEqtbn3zxQDsaRuedv/Wfn9iHccNO1pYW1/Ov/7yGfZ1+HjtJWvRGu49PHvv9mfahhmPxLjmjPy0HXU5bHz5Fefw7us289arNvKaS9YyForyk8dPTbvtYycGEm06kx3tHaW23CnteWdhZeMxhhZq6yvp8rwq1UxIOBrn1GAgr4PUBFSVOQmbE7izUY6VPIm92IyMR3A7bHjmsQC/mNRXuGYst7SqdJq8Hv71uVvYtaaWp04P8/s9ndQXuCXx5mWVjIxHEm3ff7W7HYB/vW4zF62v55qtTYyMRxInvwCO9/mpcNlpyfN8E0tRBiHWh/xM5R2L1WjSwnSYnLrd0JT/Wj0h0tVU5Ul8OO9pH05cPjIe4c6DPaysLePc1bWUu+zTBhuGojE6hscT3aHsNsXFG+qJxDQ2Bf/+/C14PQ4OdM0+GmJPm3H9zpU12fvB5tBU5eFfrtmEx2ln+4pqLtlQz48fOUXUPOjQWvOXfd28/FuP8sKvPpS43HK0Z4yN8rc9K6XUC5VSR4GTwH0YwwpvL9T2WHMASi0I6R0NojWsqJGAN5+sRdpKza87VrIK1/wWpkdj8YwytPM15F8cTXTqKtwMzlKOZbcp6itcNHrd/OQNF+KwKUaD0YKsqUh21kqj492+jhFicc1Dx/p50bkrePs1mwC4bGMDNgV3HpxoLXysd4wNTZV5qR5IpSiDECsDcLwvL0tQioa1sCl5wI9V7mH1rhaiGDVXeRj0hwlFYxztGcWm4IMvOIPxSIwHjvZz6YYGlFLTyrYA3vCDJ4nF9aSe8pebayQ2NXkpdzk4o7mKJ04Ozdp96tn2YVbXlVNbwLNR/3TpOjpHgty+r5sfPdLKpg/czj//eDdgDIN6IGnhutaag10+zpDymLl8ArgIOKK1XgdcQwEXprsddqo8jpILQhJDMaskCMmnqjLjZGJNmXPBNfflbvu8yrE+9ocD7Pz4HQQjuS3lmm3AXylpqHTR7w+n3N/0+kI0VLoSv0uP086ZZrvr7SsK+1luBUEn+/3s7xxhOBBJ7EvB+Ns/c3k1/3Pn0UTlwoEuX6LNfiEUZRCytr4Cp11xom+s0JuSV32jIew2NelMwtdetYv/efnZeZteKcR8LKuyspchjvSMsaa+gucldXyyzvY3VU1ewP7g0f7EgbkVcAM878xmvvDSnfzmLZcARieSwz2jiaFfqRzs8hU8WL9maxPNVR6+eOcRPvGng0Tjmkavmz++/TIA7jrUw7PtwwTCUQb8YfzhmMwHmVtEaz0A2JRSNq31PcDZhdygmnIXvmDxlsWkYg0ya5YgJK+sRdrZyBDMtxzrR48aVYup1uNl03gkNq+p8MWmrsJFOBpPORiydzQ0rXz2leevAuDiHHZlTEdNuYu6Chcn+se482AvSsGlGydv0007ja54v3umg/FwjEF/mLUF3AcV5eohh93GqtpyWgeWViZkKBCmtnzy2ZK6CleiFZwQxWqZeWDT7QtypHeUTU3GFFfLxmVGENJc5WF3UovAz/3V6Jp1979eMakDnM2meMmulYn/WwHK/g5fyim80Vic04MBXnBWYduO2myKG3a08N2HTlLpdvDAv19lDBmz22ip9vDjR0/z40dPs76xgv966U4AVtXmf0BUiRlWSlUCDwA/UUr1AgWNAKrKHPhmGPxVrKzGDoWq/V6qrHKsbGRoK9wOAgtYmH560M+uNbk7oTkeji1oFkqxsH5XQ/7wtHU8vaMhlk/5G3rFBat5/vbmouhiunlZJQe6RlFdo+xaXTttbskbL9/Az59o4zdPdfBc80RhIU9MFGUmBIySrBNLrBxryB8pijexEJlaZU5aPd47xqmBAJuXeVFKcfVWY5H4RevqAWipKaN7JEgsrglGYjzbPsJbrtzA+jlqadfWV+Cy2zg+Q3a0byxEXMPymvxOq03ljZev56otjXzx5WezrMqT6JayLOmD/kSfP9E1bHWO2wkvAi8EAsA7gL8AxzA6YxVMlceZmIlQKk72+6kuc8o+Js+s8qRsZEIqXHbCsXhGgzKTS4pyXUIYWCRBiBU4pvob7xsN0lQ1fSBhsfxd7VhRzZ62YZ5pG+ac1TUpb/Pic1dyuGeUx08OAJP3TflWtEHIxqZKTvT7iac5pGwxsDIhQpQa6+zqQ8cHiMU1m8zMx//+/bns+9jzEin6ZV43kZhmOBDmqVNGRiSdUkObTdFS46FzhqnsVn1rMZzlba728L1/uoDrtk2emvzaS9ZSU+7kvddvBeCeQ0a3r+SMkZiglBpVSvmAbmAYGAK+CnwKOKyUelQpdU0htq3K48Q3XvzlWN976CS3mh1yOofH5b1WAA1e4+C0Kgtta61mNYEMSrKSS4pyHYQEI7GS74wFE+t4RqeUXEZjcQb8YRqLuJvhheYJP4AX7kxdRXOZWaL1jftOAIUNQoqyHAuMM5rhqPULnx51LkbDgYicFRUlqcxpZ3VdOX/YYwxC2my2AZ1aH2yluVsH/Pz9tx8D4Nw0ywNaqj10zTArxApCCvlhOpdbzlnBLees4FC3j8/cfoi/7O+modJFuatoP4YLSms942pJpZQd2A78xPw3r6rKHEWfCWkbDPCxPxwAYOeqajqHgzkf4imms9aEOOwL7z5UYX5WjIWiaZ95P9w9MaepdSCw4G2YzaLLhEwpuewfC6P1xBiJYnTttmU8/aHrZi3/27mqhvWNFYlqo+YCnrwr2kzIzlU1ANx/ZPbZAItBNBYnHtcM+EMF7zMtxHwopRJD0Ow2lZj5MZW14/zVk8bZ2TKnfVI3uNksrymb1t7XYnXcaqku/jO91hBSQDpjzZPWOqa13gN8pRDP7/U4i2pNyJ/3dk07y333od7E9/93/0k6hseLolxxqbGbrU+zUa5jZUIy6ZB1rNcIQi5eX88TrYM5rS4Zj8QWxUmViXKsyZkQa1p6MQchkN76I6trVrnLvuD5NQtRtEHIOatqaK7yTOpnvBgNjIXY+IHbed0PnqB/LFzQiFSIhVhhlnqsqS/H7Uh9NqzGrI/+3TOdKAUPv/fqtB9/W0sV3b5gyvlB3SNBXA5bSZQzepx2PveSs1hZW8Z7nrul0JtT0rTW3yzE81Z5nPjDsWlzXwrhbwd6eMtPnuLff71n0uV3HuxhXUMFN57Vwi+ebGMsFJVObAVw/fZmXrprJf98xYYFP5Y1yHgsg1kh1tDn63c0MxyIcGowd9mQ8fDiKMeqM2cBWWMTLL2LqM21NXsukKIDWD4VbRCilOLyzQ08emJg1tkApe4v+7uBiWnQxVDTLsR8rDDPsjZUzHyWyFqcOR6J8coLVmfUMcbq6vJE69C06471jtFc5SnYwKVMvey8VTz4H1cnMr6itMxUM14I33nQqOt++PgAg37jgLN3NMiDx/q5ZmsTH3jBGYnbXr65MeVjiNyprXDx+ZfuTDvjO5vKRCYk/fdd32gIr9uRyLrmqutoNBYnHIsvinKsCped6jLntNdqYlp6cWdC0vEcc11INoLjhSjaIASMM59DgUjJDYXKxKMnBif9f9Oywg2NEWIhrLVb5e6Zd0LJmb4Xn5tZ6+ntK6opc9p58tTkv5lTA37uOtSb6MQlRK5Z5RrFEIT0joZorvIQisZ54Ggf7/nVHi74z7vQGq7f0UJLdRl7P/pcHnv/NZIJKXEV8whC+sdC1Fe6EmWg//S9J3j85OAc98rcuDkIcTEEIUoptjR7J62ngYlyrIbK0g9C1jZU0PqZFyQapRRKcQch5jyA+xbpuhCtNY+fHOCFO5dz7D+v56/vvFyGEoqStd2cGnvL2TMHFy6HjR+//kI++IIzMn6vO+021jZUcHrK4sq7Dhq176+7dF2GWyzE/FSVzdzCM9/6R0NcuaURm4J3/PwZfm12wzpzeRVnm5k2r8dZ1E0bRHqsTEhm5VghGirdNFS6uGCdMW8pF2Xu1jYthjUhAFuWeTnaOzapEqd3NERdhQuXo6gPnUtKUb+SZ6+qocxp57N/OVwUtbfZ1jY4To8vxPlra3HYbWxpliyIKF3rGio4+PHnzzlc87JNDbzhOevnVTq1stZYnB6Pa37zVDtHe0b5zoMn2dBYIZ3lRN5Y7VYLvTh9LBTFF4yytqFiUmnfne++gj/9y3Ow20qjPFGkx8oyZJYJCdNQ6UYpxU/fcCFNXjcD5jqRbBoOGH8LNSWwLi8dm5ZVMhqMJkqwwOg0Jh3msquogxCXw8bHbj6T/rEQe9pHEpfHzO4OH/ndPl76jYeJlGiA8nSbOSchhxNMhcinqS15s80IQgLcdaiXd/9yD9d98X46hsf54I3bcvq8QiTzzjLMLJ+shbMNlW6+/9oL+MJLd/LJW7azsWn24Z+iNCXKsTJYTNw/FkrMKnHYbayoLaPbl7rL4EKMmAG5NZyx1G00B+he+Km7CEfjBMJR9rQNc9H6+jnuKTJR9Hmz685YhlLwwNE+dq2ppWN4nOd/8X7edMV6fvDIKQAOdY2yY2V1gbc0cyf6/Cg1MVNBCDG7lbXl+MOxxAA2MDKmV22R9SAif6yF6YUeWDhgLkSvr3BRXe7kJbtWFnR7RG65HTYcNpV2JiQUjTEciNBYOVGKt7quPCdrQqwBihUFbPeaTWclZRb/4TuPJV6zC82SNpEdRZ0JAaOzxFkrqnngaD8Aj50YYDQU5Qt3HEnc5kT/WKE2b0EG/CGqy5w47UX/axCiKFgTn/+yv5srtzTyr9dt5iuvPKfAWyWWmmJZEzJoltVko/OSKH5KKSrcjrSDEGv9XHIJ0ZnLq+gaCTISyO5715pdUrEIFqaDsf7mnvdcCTApaJNMSHaVxNHvlVua2H1qiN7RIIeSuhU4zQmk1rTkUnNqIMDqOqkvFCJd25KG++1aXcvbr9nEKvkbEnlW6XKgVOHXhAwGjCCkNguD8ERpqHQ7GJsyrHAsFOWmrzw4KUMMsK/TKGNPLs+zumSdGsxuq14rE1K+SDIhAGvry3nNxWtYXu3hgy84g2/9465FMQelmJREEGJ1dDjWM8bBLl/i8pvOWk6Fy56Yllxqen0hmQsiRAZW1ZXzukvX0eR188Kzlxd6c8QSZbMpvG4HwwUOQqwgqHqRLAYWc6tw26dlQu462MPejhH+9Vd7EsGA1pp3/cIYYJl88maNGYS0DmR3aOFiy4SAkXn62M3befh91/CG56znuWc2F3qTFp2SCELWNxp/NCf6/RzsGuWGHc28/LxVvPXqjSyr9tBTokHIgD9E3SyD3YQQ0334pm08/oFrEztTIQph0zIvP3zkFI+eGCjYNvjGIygF3kV09lnMrtzlwB+eHIRYw45honTICjJuPKsFW1KXNKv6orU/R5mQRdKiV+RHSQQhy7weqjwO7j3cS/9YiF1r6vjsS85iQ2MlLdUeukqwHCse1wz6wzRUShpdCCFKzYvMYZuv+NajiQOwfBsZj1DlcU46yBSLW12Fi/4pLXa7R4JsNVv8P9M2DMDDx411tO+6bvOk25a57DRXebIehPjDMZx2JTM0REZK4t1isyl2rqrhTnMo2RlJ8zSWVXnoKcEgZHg8QlzLgkIhhChFN2xvSXx/ejC7pS3pGhmPJDp1iaVhZW0ZHUMB7jncy+u//wS+YIT+sRBr6yvYtaaW3+/pRGvN3vYR6itcrG+YnjFeVVdGx3B22/QGQlHJgoiMlUQQApMXVm1Nqm9sqfbQMxoquWGG/WZ/9/pKKccSQohSU1vh4tY3XwxQsGx872iIeinpXVKWVXnwBaP89x1HuOtQL/ce7kvMArnlnBWc6PPTOhCgY3iclXXlKYfCNlV56EsawpcNo6HooloPIvKjZIKQHSsm5oAkZw/W1FUQi+usR/W51maeObNajgohhCgtLdXG53fXcGGCkCM9Y2xeJoMJl5JlVUYzm70dRuerA50+hgIRGirdnL2yBoDD3T7ah8ZnPL5orjLK2OPm4Ods8I1HE62rhUhXyQQhz9/eTH2Fi1umdMSx+l+fynKnh1zrNc9CNFdJdywhhChFy6o8uBw2TmZ5VlUsjYPDcDRO/1iI5TVyImspWV4z+ZhhnxmMNFS6WdtgHA8d6x2jY5YgZH1jBeORGEd6R1NePx++8ciimZYu8qdkgpByl4O7//VKPveSnZMuX9tgtZvL7iKrXOsftcqxZE2IEEKUIrtN0VLtSZxUyobb93ax9UO3c3KOhcO9o0b2RU5kLS1nr6phY1MlG5sqOX9tLXvMhegNlS68HieNXjf3H+knHIuzoTF1luy525px2W3T5ooshC8oQYjIXMkEIWD0Qp/aeaHJ66bMaedEX2kFIQP+MFUeB26H1FAKIUSpqnQ7GAtmrzvWb57uIBLT/POPds96ux6fEfgskyBkSSl3OfjLO57DX995Oatqyxk1Z4ZY7f7XNVTweKvRpndrUhOfZI1eN2csr0qUdGWDbzwi5VgiYyUVhKSilGLHimq+/3Arv3umo9Cbk7a+sRANsihdCCFKWqXbkTgQzIZgxBj6drhnlNHg9GGIWmu+/cAJ7jzYA0gQshQ57DbsNsVKc+YHTKyVtQKPMqd90pDCqc5cXsX+Th9aZ2ddiC8YpcojQYjITMkHIQBnr64B4B0/fyax4LvYnejzsyrpA0QIIUTp8Xqykwnxh6IEwlG6R4JUeYxWp4+dGExcr7VGa82Tp4b45J8O8vV7jwOwul72I0vV6qRjCGv9xyUbGsx/63HYZz7EW99QwWgwim984e/dWFwzFopKu2iRsUXxjnnemc186/4TADxyYqDoD+6jsTjH+8Z4zqaGQm+KEEKIBah0OxjLQiZk1yf/xrmra+nxBblhRwu3PdPBg8f6uXbbMgDe+tOn2NM2MmlhcpPXTaVMS1+yViUtPPc4jdLu525bxk//34WTOoqm0lxtvI+6fUGqyxeWwbCCcMmEiEwtikzIrjW1HPnk9XicNvZnscYxV+461Es4Gue8NbWF3hQhhBALUOlZeBAyFooSjMR5+PgAvmCUbcurOKOliiM9o4nr/7y3m47hcZ5oHWLLMqPk5i1Xbljw9ovSZWXBypPmc9hsiks2NOCdIyCwGhp0jaQebzDkD/OSrz/MYycG5twOn1k26PVIQCwys2jeMS6HjYvW13Pvkb5Cb8qc7jvSR6XbwTVnLCv0pgghhFiASrdzweVYPb7Jc0ZesKOF+4/00z5klBcf7zVaAK+uK2c0GOEHr7uAcrcdr2RBlrTmKg+vuXgNF2/IvKrCWks09b1nuf9oH0+eGuLl33qUgx9/PmWzDCIc9IcBqCmXbp8iM4vqE+yCdXXce7gPfyhKRRF/OD9+cpAL1tVht02fZCqEEKJ0eD0OwrE44+HYrAdqs+n1TW7xW1/ppr7CxbPtwwAcNYOQ7/3T+aypK5+11l8sHUopPnbz9nnd1wpCukdSt5fuGpkITp5pG+biDfUzPla3T9pFi/lZVJ9kq2qN1GTbUPEuTh8NRjjeN8ZOc7KpEEKI0tVi1tZ3zlDWko4B/8SB4Dpz9lVdpYuhQBitNcd6x3DalQQgImtcDhsNlS66fTOXY1mO980+jHNgzLhtg1cyISIzi+rTzJqe3tpfPEHIoD9MJBZP/P+2ZzrRmlnPKgghhCgN1sTyrmHjbPATrYOTDuDSYR3EPWdTA9/4h10A1Fe4iMQ0vmCUR08McEZLlQQgIquWVXnoHkldjtU5EmR1XTnlLvucQcjwuFmOVSZBiMjMovpEs6anzzVpNl/6x0Kc+4m/ce1/35foxf3HPZ2sb6iQRelCCLEIWCUo3b4gR3tGeek3HuHffv1sRo8xYAYt33vt+Wwx5zw0eo05Uj2+IEd6Rtkl+wyRZS3VHrp9qcuxBsZCNHndrGuooHWOY6qRQASXw4bHuagOKUUeLKp3TJXHSUOlmxNzRO35YvV4PzUQ4HDPKGOhKE+fHuaaM5qwyXoQIYQoeckLfH/+RBtgLOrNZAicbzyC1+2YlOmwHvexEwMEwrFZB88JMR9GJiR1OdbIeITqMuOYanCOzN7IeISaMidKyXGNyEzxrt6ep/WNFUWTCTk1OLEdL/vGI/jMDirXSlcsIYRYFMpcdqrLnHSPBBNlK+FonNaBQGJ9x1xSNVNpMjMhz7QZbedXF/n8K1F6mqs8DAUi7D41hNthY3vSbJGR8QhblnnRzL0mZDhgBCxCZGpRZULAmAJ6uHt00jqMQun1hah0Ozh/bW0iAFlRUyZpdSGEWERW1ZVxst/Pw8cH2LysEoCT/eln5P3hKBXuyZ21GswgZI/ZIctaeyJEtlgDC1/89Ye58SsPEo9PZO9GxiNUlTmpq3DNucZpZDxCzQIHHoqladEFIVdsbmQ0FOWO/T2F3hT6RkM0Vbn58Rsu5Asv3cld/3oFd777CllcKIQQi0hzlYcHj/UDcMs5KwA40Zd+Rn4sFJs2+dzrduB22DjWO4ZNTRwwCpEtU99Tz5gBbyyuGQ1GqTaDEH84RjASm/FxhgJhqmVRupiHRXc0/Nwzm1lW5ebWp9oLvSn0jgZp8rpxO+y8ZNdKNjRWzruPvBBCiOJkrd+or3Dx5is20FDp5kCnL+37pyrHUkrRUOlOPL5TTl6JLJs61+Oug8bJ21FzAnp1mXNSg4RU4nFN64A/0Z1UiEwsuk81u01x9dZlPNk6OCm1WAi9oyGavHL2SgghFjNrvcaGpkqUUmxeVsmpwfRbxc80YPcMczH6MhkCJ3IgORPS6HXTNmgsUu8bNTpm1Ve6WGmWAXYMpV7A3jE8TjASZ2NTZY63VixGiy4IAThndQ2+YJQTGdTkZpvWml5fKLG4UAghxOJk1cN7nEamu77SzcBY6tanqfjD0WnlWADP394MTBwUCpFNXo+T5dUedq2pZWNjZWLQszUtfXlNWWJt0sAM60KsResbGiUIEZlblEHIpRsbsNsUP32srWDbMBaKMh6JJVKZQgghFqdLNzYA8E+XrAWMsixrAGE6xoKpg5DnnrmMNfXlfOKWM7OynUJM9Zd3Xc5P/9+FrKoro93MdgwFjPdubbmL2nLXpMumOtZrBSHpdYITItmia9ELRgeqa89o4o4D3Xz4pm0F2QbrzFVTlQQhQgixmK2sLaf1My9I/L+h0sVoKEowEktkR2aitbEI2OuZvjuu8ji579+uyvr2CmGp8hhZvFW15fSNhghGYoluWLXlTqrM1rtD/kjK+x/rHaO23El9pRzriMwtykwIGDW6faMhwtHCtOq1gpDGSqnlFUKIpcQ6IJuphCVZMBInGtdUpghChMiXTWZr6T1twwyPTyxMd9pteD2OGTMhB7p8bG2WQZpifhZtELJteRWhaJzTg34eOzHAq7796Jy9rrOp1wpCpBxLCCGWFKurVTrrQgJhY4ZU+RwZEyFy6VxzftnBLh/DgQhVHkdinEBtuStlEBKKxjjY5WPHyupp1wmRjkUbhFgZiIGxMF+5+xgPHRvgrkO9eXv+fnPn01ApvbOFEGIpqTc/99NZFxIys/VzlW0JkUuNlW7KnHZOD44zFAhTWzFx7FJb4WIwxUncew71EolpzpMBzGKeFm0QUmf+AQ36w4k/nj1tw3l7/oGxMDZFYlGXEEKIpaGhwsiEpNPVyhoCJ0GIKCSlFKvryjk9GGAoEKGmbGICem25k+HA9DUhn/vLYZqrPFy9tSmfmyoWkUUfhPSPhRLdG/Z1jsx4+/uP9NGWQV/3uQz4w9RVuLDZVNYeUwghRPFrqfHgdtg43DM6522DESsTsmh3x6JErK4v5/Sgn+FAmJqkE6h15dMzIcOBMCf6/dy0syVRtiVEphbtO8cKQvZ1+AjH4pQ57RzuHkXr6QMMR4MRXv3dx7nlfx/K2vP3+II0yqBCIYRYcpx2G9uWV/HI8QHAyHZYJ8OmCkWNTIjbIZkQUVgTmZAwteUTmZDGKjd9o6FJA6APdPkAeM6mxrxvp1g8Fm0Q4nLYqC13svv0EABXbmkkEI4lFownO9RtnK1Kp5NJuloH/KytL8/a4wkhhCgd562p5WjvKP5QlE/+6QDX/vd9PP9/7p/WsdHKhLglEyIKbE19OcFInLbB8UmZkFW15YRjcbp9wcRlB7uM46YzWqQzlpi/Rf2p1+T1JM4+XbXFqFk83D09PX60Z+IMlVWfuxCxuKZtMMCaehneI4QQS9E5q2uJxDQn+vwcMfcxh7pHeeBo36TbBaOyJkQUh9V1EydOkzt7rjIv7xgeT1x2oNNHo9ctHUDFgizuIMQcFOiwKa7cYqQMU6XEWwf8ie9f8o2HF/y8ncPjRGJaMiFCCLFEragpA6DbF+SJ1kGuMRfvHjTLWCwhKxPiWNS7Y1ECkoOQTU2Vie9X1hrv5dMDE+tmD3T52CZZELFAi/pTz/rDaa720Og12s+1D41Pu93pgUAiYNjX4SMSW9iAw1PmH6pkQoQQYmlqrjbWBP7wkVa0hvPX1dFQ6aZtcPI+KCSZEFEkViUFIckDCNfUlVPlcfDICWON03AgzMEuH7ukNa9YoEUdhFh/UJVuB0opVtaW0TE8vQNW58g4q+sr+PxLzgJYcJcsK7OytkEyIUIIsRTVV7hw2BQPHO0H4B8uWsOqujLahibvX6RFrygWTruN/3v1edx4Vgur6soSlzvsNq7a2sSvd7czMh7heJ9RUbJ9hWRCxMIs6iBkY6ORTrT6W6+pL09ZjtU5PM6KGg9bmr3ARNeHqUaDEV7w5Qd44w+fnPV5W/v9uB02lkl3LCGEWJIcdhuXbWoAYOeqGirdDlbVlk8LQqxhhVKOJYrBdduW8dW/PxelJo8X+PsLVgPw/YdaOd5rnGjd0Fg57f5CZGJRf+pdtKEegBeevRyAbS1VnOz3Tyq3CkVj9I+Faaku44yWKtwOG0+fHk75eP/2q2fZ3+njjgM9dI8EU94GoHUgwNr6CpkRIoQQS9i5q41yFavcd2VtGV3DQaJJ+yDJhIhScOH6emrKnRzpGeV4/xguu42VtVLtIRZmUQchVR4nez78XP79eVsAWFFbRlwzKYAYGTeyJLUVLpx2GztWVPOoWfeYTGvNQ8f7E+3o7jvSO+Pznhrws0YWpQshxJLWYq4LsaZPr6orJxrXk1qd9vhCeJw2KlwShIjidu7qWo73jXG818/ahnLscqJVLNCiDkIAqsudiWmey81uJcmL08eCUQC8bgcAV5/RxP5OH72+yZmO4UCE0WCUF5+7guYqD/centxm0RKPa04NBljbIIvShRBiKbtp53L+6dK1vOPazcBEx6zO4Yn9y6A/TEOle1r5ixDFZn1DBa0Dfo73jbG+QUqxxMIt+iAk2cQOICkICRlBSKUZhFy83ijhempKSdbBbmOdyPrGCi5YV8ez7SMpn6PbFyQcjUsmRAghljiP085HbjqTugpj8FuNOYV6ODAxGDcYiUkpligJ6xorCEbinOz3s6FJTrSKhVtSQYiVCelIFYR4jCDEaqt7Kml2CMADR/tx2BTnr61jY1MlHcPjBMJRtNaTbpfojCXteYUQQiSpKTOCEasMGIx9ULmUYokSsHNlTeJ7yYSIbFhSQYjHaaeh0k1HinIsKxNSV+FidV05f3y2i1h8IsDY0zbMmcur8HqcnLncWBfy40dPcdln7+GewxPrQ1r7rRkhkgkRQggxodpcG5IchJzs98tJK1ESrGMfgLNWVhdwS8RisaSCEDC6k7QnzQrxhycHIQBvvnIDeztG+PJdRxOXdY8EE50gzltbR6Xbwaf+fIiO4XE+8YcDidudGvDjsttoqZ7osS2EEEJ4PQ6UmhyEjAQi1Fe6CrhVQqRHKcWrL17DuoYKNjZJJkQs3JIMQk4nDSNMZEI8E0HIKy9Yjd2muO+Isfhca03XSDAxAbe6zMm3X3MeV29tYn1jBacHA4TNXu8Hunysb6yQrhFCCCEmsdkUVR5nYnaV1hp/OEqFyzHHPYUoDh+/eTv3vOdKaaQgsmLJBSFntFTRNjjOoN9YGNg3GsKmjDNUyV5x/iqO946htcYXjDIeiSXaLQJctL6e7772fN5xzSaicc2hbh/+UJTHTg5yyYaGvP5MQgghSkNDpYv+sRAA45EYcQ0VbglChBBLz5ILQravMOoY97QPA3BqMMCK2jLcjskLA7c2exkNRenxhRJzRZZVTZ+Abg2juvNAD7/e3U44GuemnS05/AmEEEKUqiavh95RIwixWvU2V7sLuUlCCFEQS+70y4Xr6rDbFLtbh7hqSxOdw+PUV0zfAaxvNOodT/SNETEXqCdnQiyr6srZvqKKL999jEq3gzNaqjjHDEyEEEKIZE1VbnafGgJIZESavNP3LUIIsdgtuUyIx2ln8zIvz3YYcz4OdY+m7PKwvtHoVnK830/3iNFNqzlFEAJwxeZGwGi1+D8vPzsHWy2EEGIx2NBYSfvQOGOhaKIs2JojIoQQS8mSC0IAdqyoYm/7MCPjxhT0VMHFMq+HMqedk31+ukdmP1v1wp0rAPjgC85gS7M3dxsuhBCipK2uM7ostg8FEkFIvQQhQoglaMmVYwHsWFHNL59s584DPQBsXz49E2KzKdY1VHCif4zGSjcNlW5cjtQx25ZmL0996DpqzWm4QgghRCrnra3FaVf8+NFTiRNbNeUShAghlp4lGYScaS5O/8BtewHYMEO/6/WNFexpH+b0QIAdK6pS3sYi6XQhhBBzWVlbzk1nLefHj56modKF1+OY8QSXEEIsZkvyk++cVTVctL6OYCSOTcEyb+rOJGevqqFtcJwT/X6u2tqU560UQgixGL30vFUA9I+FaaiUzlhCiKVpSQYhSileusvYCcQ1OOypX4bkwMNafC6EEEIsxMUb6rlgbR0wfUaVEEIsFUsyCAF4ziZjoOClG+tnvM36hgp2ranlReesYE19Rb42TQghxCL3vhu2AkabdyGEWIqW7CmYpioP3/+n89nQmHo9CBgZk1vffAla6zxumRBCiMXu7FU1fO+153PuGpkrJYRYmpZsEAJw5Zb01nkopXK8JUIIIZYSpZSsNRRCLGlLthxLCCGEEEIIURgShAghhBBCCCHySoIQIYQQQgghRF5JECKEEEIIIYTIKwlChBBCCCGEEHklQYgQQgghhBAiryQIEUIIIYQQQuSVBCFCCCGEEEKIvFK5mAaulOoDTmX9gefWAPQX4HlLibxG6ZHXKT3yOqWnkK/TGq11Y4GeuyBkH1TU5DVKj7xO6ZHXKT1FuQ/KSRBSKEqpJ7XW5xV6O4qZvEbpkdcpPfI6pUdep6VBfs9zk9coPfI6pUdep/QU6+sk5VhCCCGEEEKIvJIgRAghhBBCCJFXiy0I+VahN6AEyGuUHnmd0iOvU3rkdVoa5Pc8N3mN0iOvU3rkdUpPUb5Oi2pNiBBCCCGEEKL4LbZMiBBCCCGEEKLISRAihBBCCCGEyKuiDkKUUquUUvcopQ4qpfYrpd5hXl6nlPqbUuqo+W9t0n3ep5Q6ppQ6rJR6XtLlu5RSe83rvqyUUoX4mbIty6/RveZlz5hfTYX4mXIh09dJKVVv3n5MKfXVKY+1KN9LkPXXSd5PE6/TdUqp3eb7ZrdS6uqkx1q076dSJ/uguck+KD2yD0qP7IPSs2j2QVrrov0CWoBzze+9wBFgG/A54L3m5e8FPmt+vw3YA7iBdcBxwG5e9zhwMaCA24HrC/3zFeFrdC9wXqF/piJ5nSqAy4B/Br465bEW5XspB6+TvJ8mXqdzgOXm99uBjqXwfir1L9kH5f01ks8M2QfJPig3r1NR7oOKOhOite7SWj9lfj8KHARWADcDPzBv9gPgFvP7m4Gfa61DWuuTwDHgAqVUC1CltX5EG6/4D5PuU9Ky9RrldaMLINPXSWvt11o/CASTH2cxv5cge6/TYjeP1+lprXWnefl+wKOUci/291Opk33Q3GQflB7ZB6VH9kHpWSz7oKIOQpIppdZiRHKPAcu01l1g/CIAK8W2AmhLulu7edkK8/uply8qC3yNLN8z05YfWkwp3mRpvk4zWRLvJVjw62SR99N0Lwae1lqHWELvp1In+6C5yT4oPbIPSo/sg9JTyvugkghClFKVwK3AO7XWvtlumuIyPcvli0YWXiOAV2mtdwDPMb/+MbtbWXgZvE4zPkSKyxbVewmy8jqBvJ9S3f5M4LPAm6yLUtxs0b2fSp3sg+Ym+6D0yD4oPbIPSk+p74OKPghRSjkxXuCfaK1/Y17cY6aQrNRkr3l5O7Aq6e4rgU7z8pUpLl8UsvQaobXuMP8dBX7KIkuRZ/g6zWRRv5cga6+TvJ+mvE5KqZXAb4FXa62Pmxcv+vdTqZN90NxkH5Qe2QelR/ZB6VkM+6CiDkLM1Nl3gINa6/9Ouur3wGvM718D/C7p8leYdW7rgE3A42ZKalQpdZH5mK9Ouk9Jy9ZrpJRyKKUazMd0AjcC+/LxM+TDPF6nlBbzewmy9zrJ+wlIep2UUjXAn4D3aa0fsm682N9PpU72QXOTfVB6ZB+UHtkHpWfR7IN0Eazyn+kLo+OBBp4FnjG/bgDqgbuAo+a/dUn3+QBGt43DJK3wB87DeAMeB76KOS2+1L+y9RphdJjYbT7OfuBLmB1LFsPXPF+nVmAQGMM4W7BtMb+Xsvk6yftp8usEfBDwJ932GaBpsb+fSv0rW5+vi/n3nK3XSD4zZB+UzddJ3k+lsQ9S5gYIIYQQQgghRF4UdTmWEEIIIYQQYvGRIEQIIYQQQgiRVxKECCGEEEIIIfJKghAhhBBCCCFEXkkQIoQQQgghhMgrCULEkqMMDyqlrk+67GVKqb8UcruEEEIsfrIPEsIgLXrFkqSU2g78CjgHsGP0zH6+npgimslj2bXWsexuoRBCiMVK9kFCSBAiljCl1OcwhvdUmP+uAXYADuCjWuvfKaXWAj8ybwPwNq31w0qpK4GPAF3A2VrrbfndeiGEEKVM9kFiqZMgRCxZSqkK4CkgDPwR2K+1/rFSqgZ4HOMMlQbiWuugUmoT8DOt9XnmDuBPwHat9clCbL8QQojSJfsgsdQ5Cr0BQhSK1tqvlPoFMAa8DLhJKfUe82oPsBroBL6qlDobiAGbkx7icfnwF0IIMR+yDxJLnQQhYqmLm18KeLHW+nDylUqpjwI9wE6MRg7BpKv9edpGIYQQi5Psg8SSJd2xhDD8FXi7UkoBKKXOMS+vBrq01nHgHzEWEAohhBDZJPsgseRIECKE4ROAE3hWKbXP/D/A14DXKKUexUiDy5knIYQQ2Sb7ILHkyMJ0IYQQQgghRF5JJkQIIYQQQgiRVxKECCGEEEIIIfJKghAhhBBCCCFEXkkQIoQQQgghhMgrCUKEEEIIIYQQeSVBiBBCCCGEECKvJAgRQgghhBBC5JUEIUIIIYQQQoi8kiBECCGEEEIIkVcShAghhBBCCCHySoIQIYQQQgghRF5JECKEEEIIIYTIKwlChBBCCCGEEHklQYgQQgghhBAiryQIEUIIIYQQQuSVBCFCCCGEEEKIvJIgRAghhBBCCJFXEoQIIYQQQggh8kqCECGEEEIIIUReSRAihBBCCCGEyCtHLh60oaFBr127NhcPLYQQIgO7d+/u11o3Fno78kn2QUIIURxm2wflJAhZu3YtTz75ZC4eWgghRAaUUqcKvQ35JvsgIYQoDrPtg6QcSwghhBBCCJFXEoQIIYQQQggh8kqCECGEEEIIIUReSRAihBBCCCGEyCsJQoQQQgghhBB5JUGIEEIIIYQQIq8kCBFCCCGEEELklQQhYtEaD8d41bcf5enTQ4XeFCGEEEtI18g4L//mI7QNBgq9KUIULQlCxKLVOuDnoWMDvOdXewq9KUIIIZaQP+/t5rGTg3zvodZCb4oQRUuCELFoBcIxAJRSBd4SIYQQS8loMAKAwy77HyFmIkGIWLT8oSgAsgsQQgiRT6fNMqxv3X+CQ92+Am+NEMVJghCxaCWCEIlChBBC5FEoGk98f+/hvgJuiRDFS4IQsWiNJjIhEoUIIYTIn6BZDgzQ4wsWcEuEKF4ShIhFa2omJBbXBdwaIYQQS4U/HOWCtXWsrivn1t3tEogIkYIEIWLRsoIQgMdODLD5g7fz693tM95eawlShBBCLFwgHKPcbad9KIAvGOXCT91V6E0SouhIECIWLascKxyLs7djhFhc8+vdbSlvOzAWYt37/szvnunI5yaKRSYYidE3Gir0ZgghCiwQjlHhcpCcgN/XMVK4DRKiCEkQIhYtKxMSCMUYGTfaJUZiqbMdJ/v9AHz29kP52TiRc+//7V6+ctfRvD7nB2/bx/n/eSfBSGzuG8/g/+4/IQcrQpS4QChKucs+6bJP/ulAgbZGiOIkQYhYtPyhmPlvNHF2un8s9Vlq6/LOEanbXQy01vz0sdP819+O5O05/aFootyve57vo9Z+P//554O84+dPZ3PThBB5NhaKUuF28D8vP5vLNjYAM58EE2KpkiBELFqjQSMT4g9H6TWDkF5fKOXaj/keNIri1FWA3+f+zolZAH0zBLtzOdBlPMbxPn9WtkkIkX9aa/zhGJVuB7ecs4Ifv+FCXrCjhaFAuNCbJkRRkSBELFpWOVZcQ/uQMThqPBKjf2z6jqAnqY7fKt0Spet431ji+3z9PpMHkvX65heEJJdhzZS1E0IUt2AkTiyuqXA7EpfVVjgZDsi+RYhkEoSIRcsfnuiO1ToQwGvuEFK1Skw+aOwYGs/9xomcGkra2VsBaK4lv6/6RtPPxIyFonzlrqN0DI/ztXuPJy5/+PgAXSPjjCV1eRNCFL9bnzLKMl2OiUOs2nIXw4EwcWkVL0SCBCFi0Uo+eAtH46yuLweMbMhUvuDEQav0cy99I0llD/nqVtUxNM6KmjIcNpVROdZtT3fwX387wqWfuRuAV16wGqWMrMi///pZXvGtR3K1yUKIHPjgbfsAGPJPfA7VlruI68n7GiGWOglCxKI1FozSUOlK/L+l2gMYrROnCoSjLDevt+ryRenqSyq5G0hRfpcLXSNBltd4aKh0ZxT4nJiy/uMlu1awY0U1j54Y4KlTQ5zRXJXtTRVC5Ejn8EQmfWNTZeL76jIngJRkCZFEghCxaPlDUc5cXp34f6PXCDJ8KdYIjIVirKmvAODzfz3MWR/9K6NyxqpkDYyFcNoVAIP+/AQhvaMhmqo8NHozC0KebR/mnNU1if9vXuZlY1Ml/7+9+w5v7CzzBvx71Xuz3Ot4PL2XJDPpPSQkBBIIHZalhB76wn60sPTdhaUsEMoCoYQOSSA9pE7KZGqmN/duWVbv0vv9cYolW7ZlW83yc1+Xr/GoHsuyznnO+5SX+70IxpJ4zbbGAmwtIaQQpJX2C1Y4cPPWBvnyGosWADBMK+2EyCgIIRUplRK6k2xomDyLLH3f655eI+ALx1Fl0uC9l60U/h9J4IVOd3E2luTdRCiGZocBGqUC43kKQpJz5HKP+iKoMWtRbdbK3djm0jsewr6eCTTZDbAbhDOlZp0aK6snz6Cev8Kx8I0mhBRVQOzK+J5L28EYky9vtgvpwFRzSMgkCkJIRQqJZ6NsBjVUCmFHUG3WwqBRZuTpSjyhGOwGDT59/Vo89JFLAAAnxbSsB48M4fP3Hi3SlpN8mAjGUWXUoMqkmXeXqVBMKBQ/OzrZYSsQTWDrnY/gZ892Zb1PIJpAMJZErUWH6nmkYz1yfBgA8C8XtuHRj12GZz51BQDgVVsaYNQo8fFrVkOlpI9pQpYKqStjemes9P+HYtRoghAJ7d1IRZI+6PUaFRRiEGLWqWA3aOCe0qudcw5/JAGLXthJrK2zoMmuxxnxIPR9vzmAu5/vgZdyeZeMiVAMNoMGNfNYlZA8fGwY//3oaVz9rafkTjaH+zzwRxP49gzDD184Nw4AaHEYUGPRYjwYm3PlBAD290ygtcqAHa12OE1aNDuEs6XNDgOO3nkdPnTVqnltOyGktKSGKKYpQYg0PT1bTSIhyxUFIaQihcUPeoNaiVgiBQCot+rhMGqmrYREEykkpvR0rzFr4Q7GMgKPsQDl8i4V7mAMDoNm3vUZgBAYSA72eTIu06mVWe/zyPFhWPVqXLO+FtVmLZIpntNgskFvBC1i4DFVeioHIWRpCMywEqIXPzuCFIQQIqMghFSkYFT4oDdqlfJ8kDqLDnajZlqhsjRZ3Zy203CItzvnmkzJcQdpJaRUkimOHz99LqfBgykxALAbNaix6DA6z0LQ/T0etFcLTQpODfsBAAd6hSAkPEMqxYFeobhcrVSg2iQUoA55Zn7eRFIIjEe8EdRadPPaPkJI+ZL2Lw6jJuNyhYJBr1YiRHN/CJFREEIqUjg+mY71+9t34zPXr4Veo0SdRTutO0m2HF67QYOJUAz9aUWExeqyRKbb3zOBrz5wEp/729y1OWOBKOJJjkabDo02PcaDMQx7I+B87vSoQDSBU8M+XL+xDkoFw4BHaGIgTTIPxpLy+0USiSfR5QpiU6PQiW1VrVBUnj61Pd0TJ0ex+c5HsLfLjbFAVG4dTQhZ+iZCMagUDBadatp1Rq1SrlckhFAQQipUOCacadarlVjfYMHtYterOqseo/4o4uKZaCB7Dq+0EpLeySSX9JrZJFMc//Lzvfjz/v5FPc5yJPXeHw/OnVol3bbBpke7U1jR2PW1x/H6u16Y876H+zxIceC8NgfqLDoMTIQRiiXgCsTknv9Th1meGwsgmeJYXWsGAFSbdOK2Zn+//OfDpxCKJfHXgwNIpjjqrfo5t4sQsjSEYknoNcqs6ZR6Da2EEJKOghBSkaIJ4WyTVpX5Fm+w6sA5MOydPJCU0rHSgxC7UYNoIoWzowH5MRa7EnJm1I8nT43h4388TB1S5ql7XBjoZzdo5rilMDQQEGqAtqbN39jbPdlymXOetVbkoJh2ta3Fjka7HgOeMAbFtKqdrXYAme8dADg5JKRsrasXWkBb9CqoFAzjM3TlkiYm7+0SitnXN9AwQkIqRTSRglaVvXbMqFFRYTohaSgIIRUpKhaja9WZb3FpIKF0UAtMpmOZ0pbP26qEYuGnTo9ihdM4Y2vf+RhKO3j958nRRT3WciNNGfZF5g7eJoMQHeqtenzwig7sahdmbbR9+h843OfBXw4M4LyvPCanWUkO9nrQUWOCVa9Gk02PLlcQA+LKyg4xCBmaEoRI6X1NdmFFgzEGh1Ez46R2aeXtnDgpfabCdELI0hONp6ad/JLoNUoKQghJQ0EIqUhSRyzNlBkLUsFxt2syCPFHhQPc9JUQKbXGFYihyqTJ2to3V3/Y14f33L0vo0A6/fnJ3KQp994cfgdnR/2w6FSwicP/PnHdGvzvm7bL19/8v3vw8T8eBgDsOeuSL+ec40DvBLY12wAIQwJdgRjuvO8YAODCDicUDOgZz/zdjfmjMOtUGZ2zarLUHgFC0bwvrbjeqFHKQwoJIUtfJJGETp390MqkVcEfoQYnhEgoCCEVSQ5CppyRqhEHFna5JqemS2fZbWmpPo12PaSUXptek7W1b64+9aeX8cjxEXz5HycACPUmnRSEzIvUFSuQQz71iSE/NjRYM3Kyq0xadH3tBmwRAwzJM2cmg5Ce8RAmQnFsF1c8btvZDADodAWxptaMRpseTXYDusZDGY8x6hcmpadrsOrl2pR0gVgC6eNDOmrN1IqXkAoirIRkT8dyGDWYoHlThMgoCCEVSaoJmRqEMMZQZdJkFJlLB7jp3Uy0KiVqzUKBsdWgRpVJM++hdxKn2LLVH0nArFVhbZ0ZnWMUhMyHR/wdSa2XZ8I5x7nRgFxEno4xhns/cBEOfu4atFYZ4DRp8Nw5l3xm8jlx4OBWMVBRKBgabUKK1TXrawEIQeyYP3OFY8wfRfWUIKTOqsv6fpk68HJFFaViEVJJoonktDRgidR1kRAioCCEVCS5JiTLGSmLTp2REuOPJGDSqqCakrrV7BAOQK16NZrEIuX5SiRTGTsdfzSB9mojOscCObWMJQKvHITMvhLSMx6CP5rIGoRI7EYNnvrkFfif129Dik8OInzw6BCaHXqsEVPxAGC12G730tXVAIQ0q6nBxag/ihpzZpvdWosO3nAckSntOKVVtypxhkAz1YMQUlGi8RR0MxWma5UIx5L02U+IiIIQUpFiSSkImf4Wt+rVGUPvAmIQMpU0bMqmV8Nh0MAbjiOVmt/OY8ATRjLF8b7LhRbBN21pQFuVEb5IAr9+oWdej7WcBcSC9GAsMesOXOqAdYFYiD6bDWJXqpPDfrzpJy/gmTMuXL+xHgrFZHrUHVevxlt3tcpF6dWmzAnsnHOM+qLT0rGk/4/6MgMWT1gISKX3pbTSQgipDLOthBg0KiRSXN4/EbLcTT/yIqQCzFSYDggrIZ1pk9AD0URGZyyJQSNcZtKpoFQwcC7k9Ft0uRcSS5O2b97agNfvbEaNRYu9XcKB8ufuPYZr1tehjobVzUlKmUpxIBxPyr+bqY4P+mDQKLG6xpz1+nRWvRoqBcMPnjgrd9165ab6jNtsbbbJ6VkAUGvVwR9JCO8ZrQqBaALheBI1lswgRAouetxBtKSlXEnB79Xra3H38z2zrtgQQpaeyCzdsQwaYYUkHEvOWDdCyHJCKyGkIkUTKaiVLOOstmTqSogvEs+6EmLVC8GGUaOSA4/0NK50z55xoc8dmnb5iHgmvMluQJvTCINGhctWV+NLN28AAPzkmc55/mTLTzLFEYwl5dqa2YrTT4/4sbrWnPX3PpVCwWDSqeCLJOA0aXD6y9dPK1yfqq0qs7uatCoytSZECi66pxSxh8X2nP9yYRsevOMS7Gybe8WGELJ0RBPJjE556YziyZMgteklBAAFIaRCxRKprKsggDBMzheePJANRBMwZ1kJ+cjVq3D7Ze24flMdLHrh+vT7SZIpjrf87EXc8J1npl036ovCoFFmBDmMMbxtdxuuXFuDx0+MzPtnW26koKNeXDGarTi9fyI8r7kbN29pAAB89TWbpjUxyEaaBSJ1vpLqQ6bWhEipfFMHFkbEFTqTTiUPNySEVA5hWOHMc0IA0NR0QkQUhJCKFEukZjyotOjUCMeTcsqWf4aaEJtBg89cvw5alXJyJSRLj3dpboQ/y45l1B9BrSV7utUFKxzoHg/haw+cyO2HWqakVCwpxckzQ3eZVIpj0BNGoz33OovP3bge+z97Na7dUJfT7aVt6JsQgpARcRbI1JoQlVIBu0EN15QgJCoWqlMqBiGVKRKfOdXKqBUup5UQQgQUhJCKFE0kZwxCpCF2UkrWeCCKKpMm620lFn3mfdL1pqVhTS2aHvVNb98qkeZR3PV0Z9bghgj8Yr1Gq1NY4ZhpErknHEcixacFBLNRKRWoMuV+e4dRA6dJi71dQjvfMyMBKBUso+5DUmXSwuXP3Fapa9tMw8wIIUtbNJGa8e9bqmULxWglhBCAghBSoWKJmQdGWcWhhJ5QTGyhG0eVcfYD0QbxDHjv+PS6j2Hv5NyIQW/mDInZVkJ2ttrx6q1COtChXs+sz7+cSXU4UprVTAGbtOrgnEdQMV+MMexqd+D4kA8A0DcRQr1Vl/W95jRppq2EROJJMJa9YQIhZOmLzrLvkWpCQnPMOyJkuaA9IalIseTM6Vh2cSVkIhSHW0ztcc6xEuIwalBn0eHYoHfadekTcKfWAIz5o6ie4aCYMYbP37QBjAFPnBqd9fmXM6lzVYNVCARnKkx3+QsfhABAu9OIgYkwYokU+twhNNuz16DUmHUYm5qOJeaL05R0QipPPJlCMsXnrAkJ0koIIQAoCCEVarbCdGnVYzwQxYCY25/LgevKGiN6snTAkmY/AMB4cPL7SDyJYCw5a6qXw6jB9hY7DogD8xZryBvGzi8/iufOuqZdN98ZJ+VCGlAotTKeGoS4gzGkUlw+4K82zx5QLlab04gUF9LwesZD8lDLqarNWjkwkkTiM3fOIYQsbZPplrPXhISpJoQQABSEkAoVnaUwXVr1cAVjONTnATBZnzEbh1ErT7xO5027zJ1WryDd1m6Y/aD4vDYhvWfqdO2FePT4CFyBGP7lFy9lXH5iyIeNX3wYDx8bXvRzFJsUdFQZNVApmDy4EAAO93mw/T8exW/39k62yzUVdu5Km1No07uv243xYAxr6rJ3uTLrVAjGkkikDSYTilbpY5eQSiQ3npijJoQK0wkR0N6QVKTZ2iQ6jBooFQwj3gjOjAZgM6hzKmZ2GNRwB6cXRfsicdSKw+rSrx8PRsXnm3244dZmG+JJjmODvjm3YS7dLmGlRslYxsrHQ0eHEYol8a1HTi/6OYpNWgkxalUwalUIRhNwB2P4+Z4u/O6lPgDAH/f1wRWIQaNUyO2UC2WFOCvk0385AgBYV599MKLUpteVFpgKRau0EkJIJZJacM81rJBa9BIioInppCLFEqmssz8AoSNSg02H7z9xFoBwhj2XHH27UQNvOI5EMgVVWqpXIJpEnUUHdzCWkY41ERRWQhxzFL1vb7EBEM7q78hhRWY2fRNCEBKOJzHoDaNJrFc4MiDUspwa8WPAE5ZbzS4FwWgCjEGet+KPJvDmn76IE0OTQVsknoJL7HJW6HoLuzFzZWtDvTXr7aQ5IMcGvXIqGa2EEFK55mrBrVYqoFEqEMrDqjchlYD2hqQixWZZCQGAdqdJ/v7DV63K6TGlM9ueKW16Q9EEjFoVHEYN3MHJGgCp6H2ulZAaiw5mrUqeN7IYw96IfLbtzGhAvvzEkE/uLnVqePErLsUUiCZh1KjAGINJXAmRhgVKRvwRoQnAPNrzLsaGBiHA+MPtu2E1ZP/9rq+3QMGAl/snmxnQSgghlSuXFtwGrZJWQggRURBCKlI0MfPAKADyisOHruzA2y9sy+kxpdqOqSlZwVgSBo0KDqM247oJ8fu5akIAoNGuR/9EeM7bzWXIG8EVa2ugVSnw1Kkx8bIwhrwRXLu+Vr7NUhKMJuSCTqNWiW5XKGNey652BzyhOAY94YJ3xpLc/a/n4+lPXoHzVzhmvI1Rq0Kzw4BzY5PBYDiWhI4GFZIycXTAiy/dfzyjboksXCSHYaRGjSrrYFtCliMKQkhFmq1FLwC87/KV+PKrN+Ldl7bn/JjSSsi0ICSagEmrRJVRk5GONeKLQKVgsOUQhDTZDRlDDxcimeJwB6NodxqxucmK42KNya+e7wEAvHZnE5QKhiHP0gpCHj85Iu/UTTo1To34M66/fE0NAGHlZ6Z2yPlWZdJmHVA4VbPdIE9XB4Rhl9LgS0IWYjwQxdGB6a3CF+IDvz2A/9vThX156s633EXnqAkBALtRnbXBCSHLEQUhpCLN1qIXEHJz37KrFRZd7geE0orGxJQgJBRLwCCnY01eN+gJo86qg1Ixd43CmjoTzo0FEF/EGUlPKIYUF2pcVlabcHYsgEQyhR88eU54jlozas3aJbUS8rNnu4SCc3GnbtJOnmF8/+Urcful7bhqbY18mbPA7Xnnq6XKgK6xgNwkwBOKy3NqCFmIrz5wEjd+79lpn0Oz4Xx6e27OuXzi428HB/K2fcuZvBIyS8ql3ZB5soqQ5YyCEFKRZmvRu1DySkgocwcSiCZgkoKQtE5I/zgyhKocz8zXW/VIcUybsD0f0lA/q0GNFU4j3MEY7tnbCwD4/I3rwRhDnVWHYd/i076KIZXi+IHYPOCX/3o+AMCknWw28P4rOvCZG9ah0T5ZZF+sdKxc7Wy1wxdJ4E8H+vHEqVFMhGLTCtsJmY8/H+gHgJxXTk8M+bD5i49Mmx3UPxGGFJvsOTd9rhCZv1xWQhxGDTwhCkIIASgIIRVqrsL0hbBJk9bTzmIlUxyReAoGjZCO5Y8m8JsXe7Drq48jnuSozbFQem2d0Ob12MDCi8blVrYaFS5dXQ0A+Ny9x2DWquS6l3qbHoNLJB3r3FgA48EY/uPmDXI3L6MYhNgMajkgkXrvA5C7gZWLy9fUQKVg+NSfXsY7fv4SoomU/D4i5Wlftxuf/OPhkh0odrmC+O7jZ+YcLuqP5FZX8FK3G/5oAn/c359x+XNi4PGabY3oc4flOTtk4XIpTLcbNFlbvROyHFEQQipSrAArITq1EkaNEu7gZD5vMCYcCJi0KjjFgOP//fUohn3Cgf4XXrUhp8durxa6dWWbyJ4raaifSavCunoLbtxcDwD42LWr5ZSwjmoTesaD06aOlyMpT/2SVdXyZTVmodVtNJ6ZtramVgjitjbbirNxOXIYNbjrrTsyLsulUQEpnQFPGH/c31+ylJlvPnQS33r0NJ44NTrtumRaYOKL5FZXMC6uzk4Nqo4P+mDSqvC6HU0AgD/s61voJhNRLoXpDqMG/kgCsQQ1AyCEghBScZIpjkSK5z0IAYQZEelteKVp6Ra9Ghd3OKfdPtd5HHaDGnq1EgOL6JAlTRI3ifNRvv+m7ej++ivxjotWyLfZ3GRFigNb7nwEbZ/+x7zyyovtQM8EnCYNWtMKwF+1tQEAsKYuc0Dgt1+/FT9/x3lFa9E7H1etq8W5r94g/59qQsqbNF8o15WGfJNSpAY80z8LxtM+e/w5BiFDXuFxDvd7M2pDDvZ5sL7Bgl3tVQCAvkU2xiBp6VizrIRUmcTaQkrJIoSGFZLKE5PzcvPfCrXOopNXOQDIrWKtejWaHQYc+eK1+NmzXRj0hHHhyulByUwYY2i06zHgWfiBgLQqY9TO/Ge9oUEYrCedUX3k+DBef17Lgp+zkPomQmirMmYMH2y06fGbd12AldWmjNuub7BgPSzF3sScpTcnoJWQ8mYWm1XkepCfbxzC36YrS3rUqG/yMl84tyDp3Jgwf8gdjOHcWAAdNWZwznFmJIA3XdAChYJhR6sdnWOLn1O03M01rBAAqsThta5AFLUWXVG2i5ByRSshpOJIQUghVkKqzVq40orPfWIQInXZMuvU+MjVq/HN127Bq7c1zuuxG236rGc/c5WejjWTWkvmSkH6IL1yM+qLotY6fSd9UYdTnkC+lKyqEQKnpbjty0mpV0ImxNXVsSxNKtIvy3klxBNGjbhCePW3nsb9hwcx4osiHE/KK7Xr6s3Y2+3GU6fHFrv5y1ouNSFOcSUkfT9CyHJFQQipONGkcDaqEEFIlUmD8bQDgfSVkMVqtOsXlY4lF6bPEoQwxvC23a3Y3V6F89scOJKneQP5xjnHsC+CWnPlHLB/6eaNeOP5zfLkelKepBMK6QMxi0nqkDfmn36Qmh4Y+XIMkvyRBHa22eX/P3ZiBC90jgOAPGzzNeIJk7f/316EY8mFbTiRV0Jmaw8vdUwcX0QnREIqBQUhpOJIRcvaWXYEC+U0aTERisurLXIQkoc8/0abHhOhOEKxhZ2B9UcSYAwwzNKjHhAOhu95zy5sbLTizEgg6wyBUhv0RhCKJTPqQZa63Sur8LVbNmekl5HyI88DKlHOvlRInm0lRKr7UilYToXpqRRHIJZAR7UJn7h2NQDgYK8Hz51zwahRYl29kMK4o9WB/7hZaKJxZMC74M+g5S4qdmWc7W9cWgmhbmSEUBBCKlAsOXdx4EI1iy1g+yeE2o28roSIqRGdY0Hs7XLj1y/0zCtAcAWiqDJqoMhhOCIArHAaEI4ncWxw4W2BC0U62CrHQnNS2fQaJbQqRUmmWscSKfkzJVtNiLTaWWfV5VQTEoglwLmQJvrBK1fhx2/dgV53CH/Y14/dK6syapWuWlcLALjtrudx8TeeKOumFeUqEk9CN8dJIJNWBZNWtaSGxpLKEk+msnbfKwUKQkjFkWtCCrASMtnZRDhQ8IbjUCoYjJrFF8FLQ/fe95v9uO2u5/HZvx3Fgd6JnO/vCsTkosdcrBeL1N/4kxfkg5tyEU1IBZ70EUWKz2EszSyHEbHphd2gxlggOu0khFT3VW/V5VQTIqVvSXUu16yvla+b2jijwabHrduFdr3uYAzPnKUBhvMVzWE+FWMMNRYtrYSQkvmvh0/hHT9/Cfu63aXeFApCSOUpZGG6TUzVeOTYML724Al4w3FY9eq8pNhIKyF97sm6kOfOjud8/0AkAYs+94Z321ts+OJN6+GPJPDhew7mvqFFEC1ghzNC5lJl0mC4BGeqpc57m5psiCVS0+o+gtEEDBolrHpNTjUhATkIEVZqGWO4/4MX44o11bhVnA+S7t9vWIs3ni90yxtcRJOM5SqaSOW0Am83aKhFLymZu5/vAYCyGJpJQQipOLkMjFooKe3qrqc7cddTndhz1pWXVCwAqLXoIGVH3H5ZO9qrjTg6mHvheCCamLUz1lSMMfzLRSvQUWPC4ydH55zQXExScexsXWYIKZQVTtOiOtUtlBQ0tDuNACaL1OXrowkYtSpYdKocV0KE20grIQCwqcmKn7/j/KyfW1UmLb52yyYYNUp5VYbkLhJPQpfDfsduUJfFASBZnsLiMVIpUk6noj08qThSykL6jjdfpu64u8dDsOQpCFEqGD59/VqsrDbijee1YHWNGadHAjnf3x+Jy2c85+PdlwjDDHvcIYz5o/j8vUdxbiz35y0Eud1wAX6HhMzFqleVpDuWX3zfSw0Zph6ohmJJGDVKWPTqnFoIS2mj851NU2vRYZTSheYt15WQKqN2WoBJSLFIiRvuMliNoz08qTjSzjlfwUE6W5bHzNdKCAC859KVeM+lKwEAHTUmPHpiBLFEKqfUskA0saCD9o4aYfr4udEA7js8iPsODyIaT+Ebr90878fKF3n6+zxWdgjJF6teDW84Ds55UbuZSe/7enGWTGBKrVZYLHw2iyshc22fVFxum2f3vmqzFqO0EjJvkXgypxX4lioDXIEYJoIx2I00vJQUTyyRglRqFiqDWlBaCSEVxy/Py8h/OpZCwdDiMGB1rQkrxJSJfAYh6TpqTEimOLrHc5tk7I8kYF7AQfvqWhM0KgV++mwn7js8CAA4NlTa+SG5DF4kpFCsejWSKY5gkWdmBKLCyoU0STswZbUjHEvCoFHColMjxTHn9i3074hWQhYmmkjllEK6s1WY2zKfxiOE5EN6E5pcZw0VEgUhpOJExB2zQVOYA9hHP3Yp/vS+C2EXzy468jAjJJsOccL22dG5U6NiiRSiidSCUtDMOjWu21CHFzqFThmv29GEU8N+ucC/FKQ5Bfo8dB0jZL6kEwvFTskKRJNgbLI19dSudeF4EnqNUv47982xfZGEVFs1v7+jGrMWI75IWc4QKmfRRG4rIesahPks7/zlPvz2xd5CbxYhMukzASiP5hMUhJCKIxVd6QrU3lWrEs5Evv/yDgDA63Y2F+R5VlabwBhwesQ/520Xu3LwlguEjjhVRg0uW1ONeJLn9LyFEooloVSwgrRZJksHY0zBGLut2M8rByFFLtwMRBIwaVRybdfUdKxQLAm9WiWnms5VFxKRBrfO87OwxqJFJJ6SV5VJboLRZE4nTixptXvf/+eZQm4SIRmkYc7A9M+XUqA9PKk44XgSGqUCqgIfwF69vhZdX7sBGxutBXl8vUaJBqse3a6507E8YoHZQie3n7/Cgf987Wb8/vZd2CjODzk2j85c+RaOJ2FQK2m6+DLHOU8B+GCxn9eqF/L0R/zFrYsIROMwalXy3KGpBwmRqSshc3TIisaT0KgUOQ8wldSYhXSwUV/+U7LOjPgx5C39GdhCGPVFUJPjgNXfvOsCmLQqJMqoKyGpfOkrIaEip5tmQ0EIqTjhWLJorV0LfZBcY9HCFZi7g4V0G6dpYRPGGWN43c5mdNSY0eIwwKxV4ehA6Saph2O5nVEky8KjjLFPMMaaGWMO6auQT7i+XkiX+fme7kI+zTRScwmVUgG9Wpm9JkStlM+kz9WmNxJPQj/PVCxg8nNkfAEdnF7u9+Bbj5xCIjk9nTOWSOGabz+Nt/5s77wft9wFowkEY0k5gJvLRR1OvPPiFRgLROW28oQUmrQSolEq5LTnUqKqT1JxpLOFlcBp0qLPHZrzdtL03eocz8LNRqFgWN9gmdeMknwLiQW4hAD4V/HfD6RdxgG0F+oJrQY1NjZacprFkU+BaFJOqTTpVAjGpqZjJabUhMydjrWQEzJVJmElaHyesywSyRRe9f09AIBrN9RNWyXudAn1bbnUuS01UiF/rishALC2zgzOhZTbzU22Am0ZIZOkgNduVNNKCCGFEF7g2b9y5DTl1k9eus1CV0Km2thoxYkhX9azmcUQiiXnXUxLKhPnfEWWr4IFIJK1dRYMeYqcjhWJTwYhWhUC0cyDhEg8Bb04JwTIYSUksbC/I+lzZL6zLE4OT9aRdY8H0Tsewkd/fwj7e4QuUH3uyTSsZIWlIUktjWssuX8Gr6oVmo90juXWAZGQxYqKDWfsBg0FIYQUQriCDmCrTRqMB2NzBgNj/igUbP5DyWaysdGCSDyFzhzqUQohHE/QSgiRMcY2MsZuY4y9Tfoq9HM22PQY8UcQL2IgHogmMoOQtCAjkUwhlkxBL6ZjKZiwovD6u57Hc+dcWR8vHMttgvdUDqMGWpUCT5wcxZH+3FdEx9La+naOBfGjp8/hrwcH8PUHTwAAhtNmj1TasL4BsdOQNOMlFy0OIxhDzm3YCVkseSXEoCmLdCwKQkjFCVdQOla1WQvO555sOuaPosqkhXKeBagzkYrTjw6UJiVLSMeibFECMMa+AOB74tcVAL4J4FWFft62KgM4B04MFa82KhCZHDhq1CoRTFsJkaan240aaFQKrKmz4JfP9+DFLjf+8+FTWR8vkuPciqmUCoaV1SY8cWoMN33/2ZzvNyoW8uvVShzsncD+bmEF5PRIAJzzjAGIIxU2DLHbFYSCAa1Vxpzvo1EpUGPWYmCiMgv1SfmRVkIcJg0i8VTJVyQpCCEVJxyrnHQsqcZjri41h/o8WC0u7edDe7UJOrWiZMXpVJhO0rwWwFUAhjnn7wCwBUB+8g5nceFKJwDgcJ+n0E8l809dCUnrjnVYXJGoFus1Wh2GyfvN0Ko3Ek9Cu8DPwvQz+rmuWkifU5etrsaBXg/OjPphMwjT54e8kYyVkmFvZQUhnnAcZp0a6nl2ZWy06eVVFEIKTVoJqRZTLqfWnRUbBSGk4oQqKAhpcQhn1WZbrh/yhnFqxI/LVlfn7XmVCob19ZYSr4RUxu+QLFpYbNWbYIxZAIyigEXpklqLFlqVAn1FOksdiiXgjyTkEw9GbWZh+rvv3gcAqLPqAQhnMiVdrmDWtLFQLCG3+52vm7c1yt/nmpI17IvAZlBjR6sd3nAcKQ684TxhBtGRAS9cgSic4nZX2kqILxxf0LDYRruBghBSNBFpJcQo/B1O7cBXbBSEkIojtbmsBCucQhAyW+Hi06fHAACXra7J63Ovb7DgxLCvJFOTKQghafYxxmwAfgJgP4ADAAre45UxhiqjRk6DKjQpJafJLgQZRq1KnpienjKxWew4dcEKoUvxG85rRjLFs04/9oUT8uDF+XrVlgYcvfM6MAa8nGMQMh6IodqkxZZmm3zZ689rhlLBcHTAizF/FGvrLFAqGEbyPIMkGE2UrJEGAIwFovPqjCVptOkx5IkgVWGF+qQ8RcWVEKkDXrDEAwspCCEVJxBNLOiMVDnSa5RotOnROTZzS8u9XROoMmrymo4FAKtrzfBHEhnFpMUSjiWgV1fG75AsDuf8/ZxzD+f8RwCuAfB2MS2r4OxFDEL65SBESLMya1XwiWcp+yeENt3fvHWzPHjw5q2NOHrndbhlexMA4Njg9NRJbzgud9JaCJNWhXanMefBpb6I8HzbW2xYU2vG63c2Y4XTiFU1Jrzc70WPO4Rmhx7VJm1eP1cSyRQu/68n8Zm/HMnbY86Xyx9bUHfCRrsesWSq6IMxyfIk1YRUGYX3aqmnplMQQipOIJKASbvwHW+5aa824vRIYNpZvlgihZ883Yk/H+jH1mZb3gcnrqoxAyh+T3/OOUJxWglZ7hhj26d+AXAAUInfF5yjqEGIEGhIKyFWgxqxRAqReFJeNaib0nnJpFVha7MNOrUCL3W7M65LpTj8kbg82HCh1tSZcSbHzwB/JAGLOGzx4Y9eim+8djMAYFOjFU+dHoMnFMfqWrM4hDV/KyHPd45jzB/FH/f35+0x58sTji2oO+HGBmEw5t4u9xy3JGTxwrEkFCwtHYuCEELyR2pjWUkHsOvqLTg+5MOrf7BHDkQ457j220/hKw8IrS93r6zK+/NKPexPjxQ3CIkmUuAcVJhO/nuWr/8qxgYUMwjpmwhDo1LIBaNSGpU3HJe7TmWbQaFRKbCm1ozjU1ZCgrEEUhyw6Be3orjCaUSXK4hf7OmaM2XIFxGKs6fa2mKTv2+2G2A35Pd1PdDjkb8PF3j2QSrF8dw517Q0VU8oDpth/gHfliYbDBol7vjdoZKkvpLlRZqjJn0uzNTUolgoCCEVJSTmO1ZSEPLuS9px4coqHB3w4SWx5WX/RBjd48KZ0/9+3Ra88+IVeX/eKqMGdoMaZ0f9c984j6QBSpX0OyTzxzm/YpavK4uxDQ6jBhNFXAlpsunldCubXjhT6QnF5a5SNebsMyh2r3TipW43fGlzRaRUroXWhEikFKMv3n8cj50YmfW2/kgia9Bz1dpa+ftGux5VRg3GA/l7Xc+mpavmmjq2UP/z+Bm86Scv4oXOyZWLSDyJaCIF6wKCEIWC4XyxvqfXHcrbdhKSjTDCQCV/LvjCsw88LTQKQkhFkc6CVdJZ9GqzFv992xYAwDlxZytNJv7z+3bj1h1NeU/FAoTC3FW1Zpwp8kqINECJgpDljTF2y2xfxdgGh0EDfzSBaKLwk4XPjATQXj05Y0I6q+4JxTDqj0KtZLDNEFDsXlmFFAcePDIkXyYdXCw2HWtHq13+/imxCUY2nAvpX9lWQtLTyFZWm+A0C+lY+TrzP+gJo6NGWLk9PI/higvx6HEhEEsPdjwh4bWWAsf5etfFQrO3oQprW0zKTySWhF6jkD8XvBSEELJ4gWgCr/nBHjklodIOYGvNOmhUCvlM2eE+j9hG11rQ511VY8LpEX9R0wQmA0kqTF/mbprl68ZibIDUBlc6yCyUeDKFLlcQq2vN8mUZ6Vi+KJwmrbxKMtVWsRvVj57qlC+Tg5BFroRsarTiO2/YitW1plnrwyLxFOJJPmPQ8+hHL8W9H7hIHtAXTaTk1ZrFGvZGsLnJijqLDof7PPCG4vjlc90Zc0nyRfosTG8x7AkLqzoLSccCgDqrdtpjElIIUjqWQaOEUsFKHoTQXp5UhP959DQO9nrkGolK66ykUDDUmLXyxOFjg150VJsKvuKzutYMXySBUX8UDxwZwu6VVVhbZynoc8rpWBUy64UsTLE6YM1GKjR2B2OotWRPhcqHPncIiRRHe/VkhzspCPGINSGztX+16tV4/c5m3Hd4EJxzMMbkA/zFroQwxnDz1kY8cXIU+3omZrydX0wFm6kz4aq0AEuahTLmjyw6XSyZ4hjxRVBn0WFLsxUv93vwf3u68J3Hz+BA7wS+84Zti3r8qaSDtvQAZ3IlZGE/i/TeqrQBjqT8SEEIYwxWvbrkQQithJAlaeqZ+b8dGgQg7MyBylsJASAEIf4oUimOIwNebGgobDAACCshAPCpP72MO+8/XpQWmOEKrOshC8cYszLGvsUY2yd+/TdjrLBLgCLpAL7QxZvSMFJpLhAAub7AK9aEVM9QDyJZVWtCOJ6UDyomV0Lyc0KmwabHsDeSMbMknW+OICSdVNvy95eH0Pbpf+DHT59b8HZ1jgWQSHE02Q3Y3GRD93gI33n8DABgz1kXXIEoPn/vUdx7aGDBz5FuIiSserjSalqkIGShq04mrQoGjTLvs1MImSocS0InnuCzGdTwlGsQwhj72GxfxdxIQtLde2gAqz/7IAY8Yfgjcfgjcbndo9QDuxIPYGvMOoz5o+h0BeEKxHBBu6Pgz7mxSTjWk3LB89lWcyaVWNdDFuX/APgB3CZ++QD8vBhPLB1Q+yOF3VH3ik0mWqsMk8+tVcnpEqP+aNbOWOkabUJrX2neiDdPNSGSarMWiRSf8cypvPKSw4F4m1P4Of/nMSFY+OoDJxe0TQ8eGcIPnxQCmI2NFmxpssnXbWuxwRWI4b8fOYW7n+/BHb87hPFAFJ/602H85UDurXwfPT6CHjFIjMSTiMSFfUz6Soh3kelYjDHUWXSUjkUKLhJPyvvWRptefm+XymynLKS10zUAzgNwn/j/mwA8XciNImQm/kgcd/zuEADgoq//M+O6RpseA+LUYF0FpvLU23R4+swYDvV5AADbWuyz3yEPLDo1PnxlB36+pxtXrqvBP14eQjLFoVQwuAJR2PRqqJT5WVDlnIPzyXQsCkKIaCXn/Na0/9/JGDtUjCeWDqh9BQ5ChrwRaFQKVBknC5uldAlXIAp3MDbnNO6NjVYwBjx5ahQbG63zWpnIhZSaNhGKyTMG0vnl9K+5n69uSmqbUsHgCcVgm8ecjVSK432/OSD/v9Gmx7p6NW7a0oAtTVZcuroa1377adyzt0++zS+e68Yf9vXjD/v68aotDXN+dg16wnj33fsAAOe+eoO8CsKYMCFdIq2KSAPgFqLWoivJYFiyvITjSTSIx0dNdr3c5KZUZvwL5JzfyTm/E4ATwHbO+cc55x8HsANAU7E2kJB0z58bn/G6K9fWyN/PddZwKWqvNiEUS+KBI0MwaVVYWZ3fCekz+di1a7Dvc1djd3sVEimOLlcA//nwSez88mP4wn3H8vIcrkAUKz7zAC77rycmu2NVWF0PWbAwY+xi6T+MsYsAhIvxxNIBvC9c2HSsEV8EtRbttC53Vr1a7og3U3teSbPDgNU1ZrmNty+cgEmryttJArtRKtLP3lpXSv/K1h1rKsYY3nxBC7Y0WfHbd1+AZIrj//Z0z2t7pBNOEodRA7VSge+9cRvedUk7OqpNMGmF398Nm+oAAH9LS8nKpYvWL5+b3KavPnBCbiu8ts4CdzCGeHJyVcSsVS3qxEmdVUc1IaTgpJoQQAia3cHYnPN/CimXvXwLgPRPnRiAtoJsDSFzkFoY/v49u2DSqVBv1eNQ3wRe7HJjW7Mdv3qhBwDkgV+VZJvYAeefJ0dx4coqKGfolFMIWpVSXnm5+luTC6F/PtCPr7xm06If/28HhYODPncYo2KaA62EENH7APxSrANhANwA/qUYTyylMhW6l/6IL4raLEGGVa+Wh4XOtRICANtb7bj/8CD+94mz+L89XXIBeD7YxVSjiWD218I/z0L49M+Nq9fV4Lcv9uJj16zOeXsOiivCkqkBnELBoFEpgChw3YY6HO7zos8dhlalQCLFcf/hwYz2w9mMp82IeUL83AWATY0WnBjyYTwQQ51Vh7FAdNGvda1Fh1F/RG4sQEghhGMp6MR9a5VJg6SYYmnPsrpZDLmcIvkVgL2MsS8yxr4A4EUAdxd2swjJbtAbhkapwHltDmxosMJh1ODKtbX4zPXr4DRlpjJUmjV1k91lthchFSvb86+unVx9uXxNNSLxVF5SVTpdk3mp0vJwJdb1kPnjnB/inG8BsBnAJs75Ns754WI8t0algF6tLHg61og/knX11maY7F6Ty0HuzlY7AtEE/vPhUwDyl4oFTK7EDHjC+J/HTuNP+zPrKhaT/nVRhxOuQHReNRGHxSBErWR4z6XtWW/z8WtXw25Q47LV1fjOG7bimvW1+Ov7L8KOFnvWoYbBaAIfvucgjg4I13lCMayrt+AdF7Vh2BeRC9ClVsrSJPsRbwTORQchWsSTPK+T5AmZKpK+EiKerB0rQq3nTOb8tOCcf4Ux9hAAaTn8HZzzg4XdLEKyG/ZGUGfVZe2Xv7nJhgtXVuHDV60qwZYVnjotrWJbi60k2/DDt+zAVf/9FN5/+Upc1OHEk6fGcLDXg8tWVy/qcTvTJh5LHc70FVjXQ3I3UwMU6QQD5/xbxdgOi15V8DaWo75o1r+h9JavuaSYXr5GeAylguFj16zGrjw2r6i1aKFXK/GbF3vk1ZnrNtTK6Vf+SBxKBVvQyQPpoP7cWCDnVsg940GsqjHhT++7UE67murNF7Tijee1QKFg2NnmwM424fVYWWPCw8eGp93+8ZOjuO/wIMw6Fb7ymk2YCMVhN6jRVmVEKJZEpysg3x+A3M3q9IgfN21pmN8PPYVUJzPii8oHh4TkE+c8Ix2ryS40s+gdD2XMKCqmXJNFDwH4I4C/AhhnjLUUbIsImcWQGIRko1Ep8Nt378Ku9qoib1XxfPjKDjQ79LigRD/jymoTXv7itfjkdWvQJrYTHfYuPj2/cyyInWJqRJ87BJ1aMeNgNrJsmMWvnRBSshrFr/cCWF+sjSh0L/1ANIFANJH14HtDw2QnYmcOB6ZVJi3ufNUG/ORtO/CBKzqwozV/QQhjDE12vRyAAMBzaTV6/ohQg7KQVWjpM30+KyGDnghaqwyw6tWzpqZm+xxZWW2EOxibtupwYsiX8f+JUAx2g0b+rHtZrCPpqJaCkAiC0QR8kQSa7AYsRo0UhPipLoQURjSRQjLF5VRnqa707FjmENIzI3585i9HEE0kC75NcwYhjLEPARgB8CiAvwP4h/gvIUXnCcUyOsgsNx+9ZjWe/uQVM575KwaLTg3GmPx7WOxU4kBUGIZ43grhgGk8GIOBpqUve+XSHGVqEJJIpvCtR0+j25Wf1pbSgXdtlpWOK9cJzTbsBnXGSuhs3n5hG65cW5uXbZtKOnNaa9HCoFFmNArxRxILTv+qk4f15f5ZMh6MZu3SlQtpJaNzysHXuJiWEogK9S2eUBw2g1r+uU8O+6FTK1Bv1YExYNQflTta1c9wcixX0u9/hIrTSYFIQbf0d2PVq1Ft1uLsaObfwXceP4N79vbi0eMjBd+mXD7V7gCwhnO+gXO+mXO+iXO+udAbRkg23nA8b33vlyLGWNnUu+jUSph1qoyhXQvRNSYczG1psgqFpKBULJKhpM1RrHpNxhnzIwNefPfxM/jQPUJW8mI7y5wSa6DandO73a2sNuFHb9mBhz9y6aKeI19aq4QVAadJi1W1ZpwZnWzv6Y/Ec+qMlY1Rq4JVr0avmIo5F86F2omFpi1JKxnnpgQh0u9Z6hjkEdsRS6tQY/4ozDqhLbnTpMWoLyJ3tMo1jWwmdRYd1EqG7vHcXgNC5kua85V+Irej2oQzowEkkin88rlujPoj8omRXz3fU/BtyiUI6QMwdy87QorAF07kbQIwWbxqk3bRRW3/PDkKAFhVa5Y/HGeaykyWpWzNUX5ZrCdvdugxMDGZcih1bzsz6scf9vWh/d8fwNAiUhIfPzEKvVqJdfWWrNe/YmOdnKpTalLNiTccR6vDkBE0+CMJmBexQrvCaZTrwebiiyQQT/IFr4o32PTQqRW466lOHB+cTMGSTqi4gzH4InGkOGAzaGDRqeTVZ2m1p9aixYAnjM/dexTA5CrRQqmUCtRZdYt6LxESiCamrWxIpBbT6U0UNjdZcXzQiz/t78cX7juG9/5qv3z/l7rd8qpgoeQShHQCeJIx9hmamE5KKZZIIRxPLuuVkHLjNGkXnY61r8eNldVGrKw2yS2YaWgXkXDOvwLgHQAmAHggNEf5WrGe36bXIBhLIiHOhPCKHZIi8RR+I7YEv3uBZwwfPT6CPx/ox/ZWm7wKWM4uXOnEa7Y14quv2YTWKgMGJsIIRhMY9UcWlY4FCClnnnBuq6rSikWVaWFBiFLBcOPmBnS6grjhu8/Il0tnil2BKCbE37PdIKSfStPspcBnda0Zz5xxoXMsCAVbfBACALVmHUZ9petURJa+/3r4FK7+1lNZg1np/e1MG6q5tt6MeJLjF+JMnAO9HkyE4rh8TTVSHDjYO1HQ7c3lU68XQj2IBpOFgqUpoyfLml9sAWnRUxBSLpxmjfzBthCccxwd8GKnWEBbqZ3NyOJwzg9wzr8jfhW1O6N0YC3NwZhIG9YnDbx7ud+zoMf+zYtC8PKZ69ctYguLR6NS4Nuv34pLV1djQ4MFKQ5s+MLDOP8rj6N/IrTIIEQjt8Cdi1S74VjEhPL3XrZS/j4ST4JzLp9QGQ9MFq1Lk+KllCypWcDbd7fJ93/p/12dlzTZWouOCtPJovxhXx+A7IOdx7ME71Jx+slhf0aHvk9fvxYKBuzrLmwQkkuL3jsLugWE5MgTloIQSscqF06TFuOBmafYz2XQG8FEKI6NTcKO/WPXrEZblUHOPSek1KSTHv5IAnajRv4cSjfTAL/Z9E+E8OSpMdRbddjYaJ37DmVmU5Mt4/++SGLBNSEAYDWocw9CpIOpRTQp6agx4Ttv2Io7fncIve4QnCYtookUmh169LnD6HULtWo2cUijVHgu1X5sabah62s35LVGr8aixaMnwvCG47DSyTYyT8kUR0JMZf7nyVGM+qN458Ur5KYWZ0YCMOtUGW2001vzfvWWTdjfM4FAJIG1dRasrbNgX4+7oNs859EcY+wJANMStDnnVxZkiwiZgXSWqibLZGFSGja9Gr5IHMkUX9AE95fFgWMbGybz4W/ZXrTGR4TMySKe3ZeG8U0EY3CatPIKoEWnWtCAuYeOCnMqPjqPKeHlpNGmx/Ub6/Dg0WGolQzxJM/a4StXdoMGgWgC8WRqzk5gUm77QtOxJC0OIcWqZzwE6eNrTa0Zfe6wnBcvrYS8YmMd/rS/HzvbJgfF5rtJyPp6C2KJFLbc+Qjed/lK/Nsr1ub18cnSEo4lEY4n5+wCt+esC2/+6Yt44/nNiCWEtNG/vzyEv788hCFPGNdtqMP6Bgv+fKAfu9odGe9bnVqJrq/dAM6FdtaNtsm0wp1tdvxpfz8SyRRUOXbnm69cHvUTAD4pfn0OwsyQfQXZGkJmIXd2WOSOh+SPzaAB55OpcvN1ZMALpYJhfUP2olxCSk1aCfGJKyDjwRicJo1cqHz5mhq4QzFwPr9mCs+ccWF1rQm37WzO7wYX0ddv2YwnPnE5vvfG7QCA81csfH6RtOLgCcWRSKZw/+FBROKZcwpGfBG80DmOEV8EjAFVi0jHAia7ffWMB+UakI4a4czwmZHMIOTyNTU4+9UbcF5b/mavTHXxKqf8/Q+fPIdRqo1b1t72fy/ikm/8c845RT966hwA4J69QirWt27bIl/3y+d78Kafvog3/uRFAMDrz5v+ecMYyzpPZ1d7FUKxJJ44Nbbgn2EuuaRj7Z9y0R7G2FMF2h5CZuQLCznZNj0FIeUi/cDBZpj/72XEF0WtWQutilrykuwYY7cA+AaAGgBM/OKc86JErlIjDOlAwCvOjvjOG7bh6dNj0KkVuO/wIHrGQ/JQu1ycHQ3gvLSz6kuR1aCG1aDGCqcRL3/x2kU1DZE+P7zhGI4OePGhew7ilm2N+Nbrt8q3+co/TuC+w4MAhFkHiy3mtxvUMOtU6HWH0CyuiqySZoi4gmAMi6pzma96qx73f/Bi/ODJs3jw6DCGfZGy6YxGissfieMlsR7jwSNDeMP5M88IPzXsh16tRFgM2m/Z3oRVNWa0Og341fM9+M+HT8mDOG/YVJ/zNly9rhYalQJ7u8ZxzfrCzB7KZVihI+3LyRi7DkBdQbaGkFlIBwGUK1s+pN9Ftjz5XIz6aSdL5vRNAK/inFs55xbOublYAQggTPNmDPKkcJ84D2NNnRnvvrQdm8XaiDMztMXMJhBNYMATxqrayunxstiuhTbxs2QiFMdJcXbK852Z9WanRybnkjjzsCIudb3qHg/BIzYcWFMn/E7OjgZg1qqyniEupE1NVrzvcqFofoQ6ZS1b6a2jZ/tsGQ9EMeqP4i27hCClXTwRsqnJCotOjQ9c0YG9/34VVjiNeO2Opnmd8NOoFNjQYMHhvsJN6cglxN8PoSaEAUgA6ALwzoJtESEz8IbjUCsZdOryb2W5XFinpKrM15g/Kp+BJGQGI5zzE6V6codRgxaHQR7MN7UVbaPYmnVgIvchc+fEg4qOmukDCpcrKe1pIhjDfrEYdsgbwUQwBruYE+8KxPDqrQ24al3tjHNV5qvVYcSxQS/cYnOB9mojTFoVAtFEyToxSsXv1Kp8+ToyIBz411q06HIFZ7zdIbGu8pr1dbh8TY3c7SpdjUWHxz522YLqNj9y9WqoCxiI55KOtaJgz07IPEgdQ8plYjhJy5dfYE2IOxjD1mZbHreIVKB9jLHfA/gbAPnUMOf8L8XagJa0wXy+SDzjrH+VUQOdWoH+iZmHzPnF5g1SytHL4gHG+jwdSFcCKbXzT/v78diJUWxpsuJwvxd3P9+Dvxzsx5vOb4ErEMXGRitu2tKQt+dtqTLg4WPDcAWi0KoU0KuVqDIJRfKlmklVZdRAwUA1IctY/0QYZq0KO1rtODkknABJpjgO9Xmwrdkmr9AdGfCCMWBDgwXGWYaFLiQAAZDRtrcQcknHUjPGPswY+5P49UHGGOXDkKLzheM0I6TMSCshcxXOZcM5x0QotqBaErKsWACEAFwL4Cbx68ZibsDKahPOjgYQT6bEg9PJnT1jQkeZAU/2IMQViGLTFx/B1i89ipTYPnNgIgy1kuVlwF2lqBanOD9yfAQapQI/fMsOAMC3HzuNnvEQvvbgSQBCl6p8aqsyIJHiODbohd2gAWNM7kZUzHqQdCqlAtVmLUYoCKl4Dx0dwi0/2DNtuGD/RAiNdj1WOI3odYcQT6bwk2c6cesPn8Mjx0fk2x0d8KHdaZw1AClnuWz1DwGoAfxA/P9bxcveVaiNIiSbQW9Y7tVOyoN0plBqGjAfwVgS8SSHw0iBJZkZ5/wdpd6GLc1W/OK5brzY6QbnmDYPo9FuQN8M6Vh/Ozggf7+3241d7VUY80dRbdLSqm4anVqJBqsOg94IVtaYUG/VwaxTyUMiAeD8Ngea7PlN32xxCDn0h/u806aiz9UatZBqLTqqCVkGvvfPszg26MPfDw/h3Ze2y5f3ucNoduixwmlCIsXRPxHGr54Xhpu+/zf74TRp8R+v3ohjg16cv6JwHdsKLZfk+vM452/nnP9T/HoHgPMKvWGETNU/EUaTjeoHyolOrYBayRa0EjIxZSIxIdkwxnSMsQ8wxn7AGPs/6auY23DJKiEl4R9HhgAIXaHSra4x4cSQH9HEZEvZLlcQPeNBjPonDyTf8OMXAAirI07z4trLVqJd7UKL302NFjDG5EFqt4sHZ++6JP/Z4VLgEY4n5ZV2KfiQpqSXQo1ZRyshedTlCuLxEyNz37CIzo0F5K5V6UMBUymOHncQLQ4j2sT357FBr7zamuLAqD+K9/56P4a8EWxYwi3ucwlCkoyxldJ/GGPtAJKz3J6QvIvEkxjzRyl9ocwwxmA3aOAOzv+MnZuCEJKbX0HoyHgdgKcANAHwz3qPPHOatGi06bHnrAvAZOqQZF29BckUx4BYF3LvoQFc8V9P4sbvPYve8RCaHXpsa7EBAM6M+OWVEJLpo9esxis31eNtu9sAAP9+w1rcflk7Pn7tGpz+8vW4dkP+G3PWW3XyzJfVtUJRr/T71WtK1zq81qLNCGDJ4nz+3qN45y/3yUOPy8ETJ0eR4sDu9ioc7PXIl4/6o4jEU1jhNKBeHB749GlhVsd7L1uJizuc+MS1qyGNJtrQYC32pudNLkHIJwE8wRh7UpwP8k8AHy/sZhGSaVA8A9BIQUjZqbFoF/TB7hZbYtpLmPJAloQOzvnnAAQ5578E8EoAm4q9EatrTXJx+tQAQurw1icGIXf87hAAoZPW4ydH0Oow4ntv3AYAeKFzHP0TIdRSauk0zQ4D/vfN27GxUTio2tHqwGeuXweNSrHomSAzYWyyNuf6jcIMBWkWlbZAz5mLWosO7mAsY3WNLNxRsRnE/rQVh1J7oXMcbVUGXLzKiVF/FKGYkHoodcNqcxpRY9ZCwYCnxCDkjec349fvugD/ctEKrK0zw25QY1PT0g1CcumO9ThjbBWANRDa9J7knJdPKEmWBanzTL7zgcni2fSaBaVjuQNCEFLKvGuyJEhvLg9jbCOAYQBtxd6INqcRECcHT10JaRGDkM6xAC6Ykp8dT3KsrDai3qqHUsFwfMgPXySBjiytNElpfOPWzXjgyBB2i+lgrz+/GT3uYEaOfrFJaWLnRoNYv4TTbcpFnVWPiVAcx4f8eMXG3Af2FUoyxfFilxs3bq6fPInhDuMvB/px19OdAIC2KiPUcpOCKHRqBZrFYyCTVoV7P3gRoolUybq45UMu3bF0AD4A4IsAPg/gfeJlhBTNZBBCKyHlZmrxaK6kVIMayo0ns/sxY8wO4HMA7gNwHMIAw6JKrw+omhI411qEdK39PRM4Niiccf3SzRvk69urTVAqGGrNWvmM7NRAhpTOlmYbPnPDOrntqUWnxpdfvamkB3dr64TA49xY7kMwycykVYYzI0XN5JzRiSEf/JEEdrVXyXUfJ4d9cgACAI1iKlaD+O+aWnPG8EytSrmkAxAgt+5Yd0PIv/2e+P83QsjRfV2hNoqQqfonQlApmDzEiZQPi069oDkhE6EYdGrFkm0tSIqDc/5T8dunAJTs1HR64KFSZp6/k1J6Rv1RnBUHEV6+ugbAMQCQB4jVi4EKUNqiZ1L+pBNuM3VdI/MjrbyfKpMgRJqIvrnJJmcD3H9YaHxRZdTg8zetlwOOVocBB3s9cppiJcll77+Gc74l7f9PMMYOF2qDCMmmfyKMeptuwQN3SOEsdCXEG4rLudeETMUYewvn/NeMsY9lu55z/q1ibk/VHEFDtVmLY4M+nBsLQqNSoNGux4HPXYP7Dw/iwpVCms+6erMchFSb6b1PZmbUquAwatDnnnkIJslNKJaAP5qASsHQ7QoiFEvAoBEOfyPxJLQqRdHbZZ8c9kOnVqDFYYBSwWDWqvCY2L3r4Y9emnGSYnurHX87NIh1FTjcNJeqq4OMsV3SfxhjFwDYU7hNIiSTOxjDfYcHoVaUrkiQzMyiVyMUSyKRTM3rfp5wTB52SEgWRvFf8wxfRVVlEoIG0wwrd9VmLUZ9EaEbll2o/3AYNXj7hW3yGc0tTTb59lTfRubSbNejn1ZCFk3qWnf9pnqkuBAAAEAimcLmLz6Cj/+x+OfVT434sLrWLJ9YlZruNFh101ZJ33BeC370lu147Y6mom9noeWyEnIBgLcxxnrF/7cAOMEYOwKAc843F2zrCAHwiz1dAID3lLBIkMxMmirsjyTm1enKG45TEEJmxDm/S/z3zlJvCwC5IPTdl2T/HKqz6BCMJdHlCqJuhs5XUpteQBjOR8hsmhwGHBNriMjCSe3gNzdacf/hQYyK81fGgzHEkin85cAAvnXb1qJu06lhP65YUyP/f3WtGSeH/VibZbVDo1KURTF9IeQShLyi4FtByCw6XUGscBrxhvNbSr0pJAubOLhtIhSbVxDiCcXlriCETMUY++5s13POP1ysbQGElY5nPnUFaizZ07KkwOPUiB/rGxqz3qbdKdSGvGpLQ2E2klSUVocBDx8dRjSRhFZFQetCecTujR01wt/fmFgfUuyZIffs7cWBngl86MpVcAViGTUeW5ttuO/wIHa1L93p5wuRS4venmJsCCEzocFe5a3WLBx8DXsjaJ9H21EfrYSQ2e0v9QZMNVvQXG/Vp32ffSVEoWA4eud10JVw/gRZOlbVmpBIcfS5w/IBNJk/b0gIQtqrjWBsMvgYC0wGIZF4suCrk5/5y5GM/+9otcvfv+mCFlj0atywKf8DOcsZtaUhZW8sEMW6usoryKoU0pnh9A/0XHjCcdgoCCEzEAcTLhmb0waGzRaszFRTQshUq2qE0qfjQz4KQhZhQhyMW2XSwqZXY1zcV0lpWcL3UbRUGRBPpvDAkSHcuLkhr41wpEAIAP64vx+MTXbNA4T0zEqs+ZgLnY4hZW/MH6We+mVMKqKbz9J2PJlCKJaklRAyJ8ZYNWPsvxhjDzDG/il9lXq7ptKpldCLZ1KlQXOELIb0Phr2VnaHLM459na5593cJFeecBwqBYNRo4TTpIVLDEKkgnUAGPELAcnv9vbijt8dwr2HBvK6DdL8IMkKpxF6DaXYzRiEMMbePsPlasbYPYXbJEImuYMx+CMJGlJYxqx6NVQKhnGx+C8X0oR1q4GCEDKn3wA4AWAFgDsBdAN4qZQbNJMX/v0q/OId58mTtwlZDLNODaNGiWFvcWsXiu2JU6O47a7n8fM93QV5fJc/CodRA8aYGIQI+6rTI5ODIIe8kYzLpHk/+XJ8SJgL8tZdrQCEwYNk9pWQOxhj70m/gDFmBPAAAOoZR4pi0CNNSqczi+WKMQabQQNPaPYgJBRLIBJPAhCK0gHQSgjJRRXn/GcA4pzzpzjn/wpg11x3KgWrXo3L19QUfeYAqVy1Fp18lr5SHeoTVgm+8sAJeY5OPg37InKdVpVJI6/aH+idwLXrawEAQ+KxRjAqzLzqHg/mdRt6xkOw6FR43U4h5eo127I3r1huZgtCrgbwLsbYhwFhSRzAkwD2c87fWYRtI0RurSf16CflyWZQy4FFNpxzrP/8w3jld58BkLYSQkEImZv0xhpijL2SMbYNwPJLnibLUq1FhxFvZQch58YmVx1u/eFz8Edm3pcshD+SgEXc17Q7jeibCCEST2LUH8X6BgtMWpW8EiKt6A/n+TXvdYfQ7DBgc5MNJ770Cly7YXkVoM9kxiCEc+6GEIi8njH2dQBPA/gV5/zTxdo4QqQgxDGP1q+k+OwGtVz8l82xQWEp+txYEMkUhzcs3NZmoN8rmdOXGWNWAB8H8AkAPwXw0dJuEiHF0WDTo3+ismtCzo4EcOXaGrkw+8dPd+b18QPRhDzPymHUgHMhKACAKqMGNWat3FhlPCj8m+8gpM8dkmt8qBZk0mw1IbdACEJ+DODdAI4A6GeM3SJeR0jBSWclqigIKWtCOtbMZ6/+/vKQ/P2gJ0wrISQnjDElgFWccy/n/Cjn/ArO+Q7O+X2l3jZCiqHOKhwgc85LvSkF4YvEcWrEj1U1Jnz1NZtg0ChxJM8DGgORhNyVTloR6RwT0q0cRi2cZq2couUW60WGfRHE81Qon0px9E+EaS5WFrOlY90kfl0O4D4AwbTLbiz4lhECwB2MQqlgsOjoYLWc2fSzp2P1TUyWkXW5glQTQnLCOU8CeFWpt4OQUrHpNUimOAJirUKlkTpUbWy0QqNS4Io1NegZz2/ZcSCagEkr7GukfU6XSwpCNKg2a+HyC4HeeDAGu0GNFM/fasiwL4JYMoUWCkKmmbFhOef8HcXcEEKycQdjsBs0UOSxXzfJP4dJA3cwJn7YT/9YmQjG0OzQo88dRpcrKK+EWHQ0M4HM6TnG2PcB/B7CyTAAAOf8QOk2iZDikA6aveE4zBV4Mm5YnNXRYBMKx1urDHj42DASyRRUysVPkUiJAZxJl7kS0uUS6lCcJg2qTVo87Y8iGEsimkhhW4sNL3S64QpE87J6IXXaaqsyLvqxKs2MRwCMsY9NuYgDcAF4lnPeVdCtIkQ0HojBYay8D95K84oNdbjrqU586k+Hsbu9Cm/d3ZZx/bmxAC5a6cSobwgDnjBiiRTMWlVedjKk4l0o/vultMs4gCtLsC2EFJXUxtwTiqPJPseNlyCp6L7WIgQhLQ4DEimOIW8kLwFAMCasIJnFk2MzrYT4owl0igXya+ssYhCSe9v52fz14ABMWhW2NNvy8niVZLbTkNmaGLcB+H+MsS9yzn9XmE0iZJI7GKOi9CVga7MN7dVGPHBkGA8cGYbdqMHV62qhUysRS6Qw6hfOKNkNGkwEY0imOM0IIbl6J+c8o1KVMdZeqo0hpJikg2ZfOL8do8qFtBJSYxaCkEZxJtigJz81FMGo0BZeXgnRTdaEKJhQzygNQ36hcxwAcHGHE794rlseargYyRTHP0+O4hUb67JmCSx3s3XHujPL1x0Qzkp9qnibSJYzdzCGKiNNSy93jDHctrNZ/v8Hf3sQ3370NABg1B8B58Jyu82gxkQoDm84TvUgJFd/ynLZH4u+FYSUgE08WTMxS83dUjbsjcBp0kCjEg5HpZSlA72evDy+1O7XKAYANoMaGpUC48EYnCYtlAomByEv9wsF8RsbrQCA8TwEIY8cG4Y3HMdVa2sW/ViVaN5hGefczWgSEykCzoUl2Svoj3dJeMuuVkTjKXz7MSH4kDqcSMV9dVY97OJQw3gyRStcZFaMsbUANgCwTunIaAGgK81WEVJc9VZhZUBqKVtphn0R1Fkn/5ybHQa0OAw4OpifDlnS69Yo1pzo1Epsa7bhxS63vA+qNglByJEBL7QqBWotWph1qkWnY0XiSXzgtwewwmmk45gZzDshmzF2JYD8j7QkZApXIIZwPIlmcXmWlDeTVoU7rl6FizqqAADPnRtHIJrAoBiE1Ft1sBuFeSI97hB1CiFzWQOhE6MNk50ZbwKwHULbeEIqnlWvhtOkwalhX6k3pSDG/FE5CJC0OY3oduVnYvkZsSi8o3qywuBtu9ugUSpw/goHAKDGIjx/z3gI9VYdGGOoNk3ODsnVvYcG0Pbpf+CJU6MAgDf/9EWkOPBvr1gLnZpmg2QzW2H6EQjFf+kcAAYBvK2QG0UIAPSMCx9CLVV0sLqUfO+N23HfoQF88f7jeOOPX8BNW+oBCEGIzaDBqC8KfzQhFyISkg3n/F4A9zLGdnPOny/19hBSKjta7Xg5z7MzysVEMIa1dZaMyzY2WPDjpzvhj8zdEYxzjtmSc86OBlBt1mbUIL5ycz0u6qiSH7vapEWjTY8BT1helXGahLa98/GbF3oBAO+5ex9+f/tu7O+ZwGWrq3Hdhtp5Pc5yMttKyI3IPPt0I4A1nPPzOecni7FxZHmTuldQW7ulxWHU4G1idyy1kqHPHYZJq4JZp4bDoIFf7HffaKMVLpKT1zDGLIwxNWPsccaYizH2llJvFCHF0mDTY9S3+PqEcuQOTe+AeVGHE4kUx76e2ZNuHjs+gg1feFg+YZnN2dEAVtWYpl1uM2igFFv/M8awo1VoPSalv9XbdPOeVD8ejMJmUCOe5Pjy348DAD5+7epZg6TlbrbC9J4pX72c8/ysjxGSg+7xIJQKRlNGlyCFguGSVU4kOXBm1I81dcJSuC3tbBT9XkmOruWc+yCcCOsHsBrAJ0u7SYQUT61Fh0A0UXEDC2OJFCLx1LQmJdtabFArGf7j/uOIJpIz3v/HT3ciFEtiz9nxrNdzznFuNICOLEHIVCucwslOaR+1stqEAU8YnlAMH/ndQTx31jXnY4z6orhmnbDqIRXWr67N1miWSKhJf5npGQ/iPXfvw6BnfhF4JeoeD6HJroeaZkksSdXicvZ4ICbn/NoNk8XoTVTrQ3IjHaHcAOAezrm7lBtDSLHViamrw97KOi6QOldNTbkyaFT414tXoNMVxCPHRma8/6D4eoz6s082H/ZF4I8msq6ETPWWXa24aUsDPnL1agCQ7/OHfX3426FBvOmnLyKVmlqhMCkST8IfTaDNacTtlwkdxN958QqqBZkDHd2VmR89dQ6PHB/Bc+eyR/bLSbcrSKlYS5jTrIUrEBVmvZiE4KM+rQsK1YSQHN3PGDsJYCeAxxlj1QCyH3UQUoGk2RnzTQ8qR5xPHsj7I+IgQd308uRPXLsGGqUCR2eohYkmkvLrIXVgnEqaVL4yhyCk2qzF9964TV6Vke7z1Qcmqw9OzNIcYDwodNKqMmrwmevXofvrr8Tnblw/5/MudxSElBnpj2mgAj5sFoNzjm5XUF4iJUtPk12PaCKF8WAMDnEFpCGtDkTKxyVkNpzzTwPYDWAn5zwOIAjg5tJuFSHFI9XPDXqWdux9YsiH9Z9/GP94eQjAZBCSbYifWqnA6joTjg9lP/BPD8i6Z6gJkTpstTvnDkKmak1riKMVZ5hIc0SymRCDEGo9Pz8UhJSZEbH4rFJ7gudqLBBFMJZEG3XGWrJ2tjrk76UP5ia7HjdurseP3rKjVJtFlhjG2NsgNEd5s/j9awFcW9qtIqR4ai06aJSKWQuwl4J/nhxFOJ7EI8eHAcycjiXZUG/FsUFfxuqJZEgMyFocBvSMZz9eerHLDbNWhVrL/Acea1WTaVRPf+oKKBVs1pPD8kqIiYKQ+aAZ8mVm2Cf8YfUt8yCk2yX8/G20ErJkra6dPPtkEZe4VUoFvv+m7aXaJLI0nZf2vQ7AVQAOALi7NJtDSHEpFQxtTgM68zQ7o1Rc4tyNEfE4xzdLOhYAbGi04Pf7+jDgCaPJnnlCUnqsdfVmPH5iFKkUh2LK6vqpYT8uaK9acHeq377rApxzBVFr0aHWrJ21VtcdFLYnve6RzI1WQspINJGEW4yme9xBhGIJjM2zT3Wl6Kb2vEueSqnAuy9ZAQC4fE11ibeGLFWc8w+lfb0bwDYAtKcny0qjTZ9xELy/x42fPtNZwi2aP2n7z4wItRr9E8LJxvRawXS72oXBt0+dHpt2nRSErK+3IpHicIcyp5unUhw97hBWOBeeTXFhhxNv3dUKQOjm2DPLyeHxgFQTMv9Vl+WMgpAyIgUcTXY9RnxRfOA3B3DeVx6DT1yyXE66xoNQKRh1UFri/t8r16P766+E00QfzCRvQgBWlXojCCmm+ilByK0/fB5f/scJxBKpEm7V/PS6he0fD8ZwYsiHYW8EOrUCVTPsH1bVmNDs0GftkDUWiEKjVGBjozDo8Plz4xlpWyP+CGKJFFrzdCJzZY0JZ0cDWVPDAGAiFINSwWDRU4LRfFAQUkZGxSBEGprzxCkh+n+5z4uk2BouEk/iS/cfx/OL6J6VSJb/h1a3K4hmhwEqas9LyLLGGLufMXaf+PV3AKcA3Ffq7SKkmBqsOkyE4vjmQyfx7389Il++VOpHOefoc4dww6Y6AMALneMYD8ZmPUHFGMPNWxrx9Jkx9Ip1H7FECg8dHcK50QCa7HqsrReCkA/dcxC/3dsr31dK6W7NU13pxgYrvOH4jClx7mAMdoOGBhPOU9kd4R3sncBn/vIywrGZB9RUKmki6s42R8bl//H341j3uYewt8uNv788hP/b04UP/PbAgp7juXMubL7zETxzZvryZjnpcgWpKJ0QAgD/BeC/xa+vAbiUc/5vpd0kQopLmuT9gyfP4bcvTh5sv9C5NNr5T4TiCEQT2NHqgM2gxpnRAFyB6IyrIJK37m6FWqnA9584AwC4//Ag3vvrA3jsxCg6akxosOrk+sNnz0wOFOx15zele1uLDQBmbBk8HoihijpjzVvZBSFD3gju2duHc2OBUm9K0Y2JOY47xZUQyakRP2LJFP60vw/3Hx4EIETdo77c2/W90DmOh44O48t/P4FQLIl/nhzN34bnWSSexMlhPxWlE0LAOX8q7WsPgFbG2P+WersIKaZ62/S6iVqLFvt7JkqwNfMnrdi0OAxYVWPCmRE/3MEYnHMcuNdadHjT+S3484EB9IwHcWxwsmXvbTubwRjDfR+8GCurjfCGJ1PXe8ZDUCnYjPUm87Wy2gS1kuH4kA+jvohczyJxB2PUnncByi4Iaa8WDjy7lngXiIUY80WgYEIeZJNdj93tVfjP126Wr9/fM4EzI350iEN0XujKbXAw5xxv+PELeO+v98s9tzvHyvf1fffd+wAA7dXz7+1NCKk8jLGtjLFvMsa6AXwZwMk57kJIRWlxCJkBJq0KT33ycjzw4Uuwstq0ZI6V0oOQldUmvNQ9gWODvpxa2r7/8pVQMOC3L/bi1IgPm5us6P76K3H1+loAgE6txJo6s5zSDghBSJNdn7eUbo1KgfX1Ftz1VCfO/+rjuPgbT2SktrtDFIQsRNkFIZNDeZbfsL6xQBQOoxYqpQJPfOJy/PpdF+C1O5rwyk31OH+FA+fGghj0RnDDpnooFQxnRvw5Pe5w2ooJY8BVa2vQ6Vr8StPRAW/ef0+pFMcz4pLqq7Y05PWxCSFLB2NsNWPs84yxEwC+D6APAOOcX8E5/16JN4+Qomq06fHaHU340Vt2oLXKiPUNFqyuNePUsH9J1HlKYweaHXpcta5WvrzRNnfadY1Fh63NNrzY5capYT9W15qn3caqV2euhLiDeStKl9yyvSnj/1/6+3H5+/EABSELUXZBiFmnhlmnWpZBiCsQg1M8K6BWKqBUMDDG8L9v3o4fvHlytsKmRisabLqcC9L2iismP3nbThz83DXY2eZAnzuMQ32eBdfeeENx3Pi9Z/GaH+xZ0P1nMuIXAqYvv3ojrPrsA4wIIcvCSQgzQW7inF8sBh7Lr1iQEAhF2v/1ui24eJVTvmxljQnheFIelFfO+twhOE0aGDQqXLO+Fne9dQc2NFjwio11Od1/W4sdh/o8cAViWFs3PQhxGDWYCMYQiSeRSnF0jQXzVpQuedvuVrzjojZc3CH8DqT6EG84Dm84Tt08F6Ase4k12vRLpuNDPrkC0Rk7RThNWnzi2tV4qXsCl6xyYoXTJPfanssLnW6YdSpcubYGSgXDrnah8P3V/7sHK5xGPP6xy6YN+ZnLz54V+pOP+KI4OxqQU8QW6+yo8DO1Uz0IIcvdrQDeAOAJxthDAH4HgFrPECKqMQvHC6O+KGot+al9KJRedwjNjsmg4LoNdbhuQ24BCABsa7bJ36cHYpJVNWYkUhz9E2EoGBCMJbEmS7CyGIwxfOGmDQCAj/3hkNylVOrcle+gZzkou5UQAFhVa8aZ0eVXmD7qi6LaPHOniA9euQq//NfzoVMr0SHmgs7Uszrdwd4JbG22QSkGGpubbPJ1Xa4gnkrrlDXqi+Cjvz80rehqqhe63LAbhJWKfd1uuIMxTOThbMzJISHFTGq7RwhZnjjnf+Wcvx7AWgBPAvgogFrG2A8ZY9eWdOMIKQNyEOLPvUlNqfRNhNBsX/hB+u6VVWh26HH1ulqsrZt+fCAFYSO+CCbEwYVSen8hNNsNGPZFEE+m0CN24mpx0MnT+SrLIEQY1hdBKjX3AXalSKY4RnwRNGTpgJFNnVWLcDyJQDQx6+0C0QROj/ixrWWy45ZSwXDPu3fhrrfuQJVRg78dHJCvu+/wIP56cADfffzMjI+ZSnEcH/Thhk310KoUOD0SwK0/fA7b/uNRPHZ8+lCh+Tg7GkCVUUO5lYQQAADnPMg5/w3n/EYATQAOAfh0abeKkNKrEQ+8ha6ivfCGynOw8UQwhv6J8KLa7tsMGjz9ySvw47fuyHp9ndgFa9gbQf+EkM7fUMAgpM6qA+fCfLceWglZsLJMx2qw6hBPcrgCUfmPrNKN+aNIpHjOfzQ1ZuF1GfVHYdbNXDvxcr8HKT7Z41qye2UVAOCP+/pxPK3lnSsgnEGQBiWmSyRTeHnAC86F4GZjoxUHez345fPd8jDFR4+PyB0rFuJUWvcvQghJxzl3A7hL/CJkWas1a6FRKvDDJ89hwBNGz3gIn75+bak3a5pOVwCcI+Nk6EIwxjDTLMA6iw4KBuzvnZBrMwq5EpIe9PSMB+E0aWHUluUhdVkry5WQRvEN1DexfIrTf/TUOQBAa47LeTUWYRl2ZI5ZIQd7PQAy8ynTddSY0D0elLtrDHuF13zMH8V4IJpx21+90INbfvAcbv3hcwCEnM43nN8sByArq41yC+CF4Jzj5LAPGxqsC34MQgghZDlQKRVY4TRiQGzkczrHjpnFNia2zpWOWwpBr1FiZ6tD7tpp1asLGhQ0i8epPeNBvNQ9QasgC1SWQYjUD7tvmRSn97lD+MVz3TBrVTh/hWPuOwBy67lzc9TOHOrzoN1phM2QPb1pXb0Z8SRHx/97EK5AFEPeyaDm5HDmB9pDR4fl7y/ucMJh1OB1O5qhVSmwpdmGq9bV4tSIH/EFtgscC0QRiafQ5qQ/ZkIIIWQuF7RPHjPMNM271OQgxFzYzJaOWqFhz69f6M1p/shitFYZoVIwPHV6DF2uIK5ZRAbIclaWa0dNYvHScumQJbXQ/enbd0Kjyi0ubLDqoFcr0T0++2t0uM+Dizqmd5KQXL6mRv7+bwcHMOyL4OIOJ54968Lhfg+ePj2GazfUwR+JY1/PBN5/+UrcvLURteIZDb1Gif2fuwbJFMdTp8cQS6RwatiPjY0zr2ZwzjHkjeDNP30RF3c4ceerNkChYHIeZyGXUAkhhJBKcftlK/HkKWHfO+yLIBBNwFRmaUGj/igUDAWv9Wy2GxCOC128LbOkqeeDWqlAm9OIew8NAkDOJ5BJpvJ6p4p0aiWcJi0Glkk61okhH7QqBXa05p4vyRhDvU2HIe/Mr5ErEMWoP4oNDTN3mrLq1ej86g141f8+i4ePDWPIG8ErNtTh5LAf33zoFADgrqeFdryraky4/dKVsBoy/7ilD7ytYtetQ32eWYOQL9x3DHc/3wNA6M51UYcTr9hYh55xocNEehs/QgghhGTXaNPj6U9dgQeODOH9vzmAbldw1v1vKbjEQczKeY4CmK/tabWvMxWw59PaOjPOjgagUSqwkdLIF6Qs07EAoS5kYJkMLDwx7MOaOjNUyvn9Ouqtuoz0qamOiQXn6+dod6tQMGxqtOKl7gnEEinUWXVYVy/0104vEn/bhW3TApB0zQ49nCat3Ds7m0N9HjkA+eatm1Fj1uIvB/oBAC/3e6FRCTmuhBBCCMlNm5ii3S2ezCsnnlActlmOHfLl/BUO3PXWHdj32auL0tTo+o31AICWKkPOWSwkU1muhABAk02/qCLnpaTbFcIFC1jKa7Yb8ODRYSRTPOsZhpe63FAwYPMMRenpVlZPBhttVUZ849bN+MuBfrzv8g4kUxwvdbuxq71q1sdgjOHGzfX4xXPduHJ/P27Z3gg2pZXFfYcGoVQw7P/s1bAZNDgx7MMvn+vGI8eG8cd9/bhoZRXU8wzGCCGEkOVMqqXsmZKiPeqPwOWPYf0sGRGF5g3HYdUXPghhjM1rAOJiXb+xDu+7fCUuWjlzyjuZXdke7UkrIZU+KySRFPI4pY5g83FRhxPecBwHeyeyXn+oz4MNDdac8kPTg5COGhMabHp88MpVUCoYNCoFLupw5rSU+tGrV2NLsw0f/+NhfOfxM3jo6DBu+cEe7O8RtvHMqB8bGyxyofy/XNgGo0aF9/xqP6KJJD5+7ZpcfnRCCCGEiAwaFWotWnS5JldCOOd43Y+exw3ffWbOTpqFVKwgpNgUCoZ/e8XarBPcSW7KNghpdxoRS6RwerQ8W87ly4g/iuQ85oOku2xNNdRKhkdnGBDY6w6hLcfUpvQgZDEDfqwGNX77rgtQb9Xhty/24lN/OowDvR7c/qt9SKY4+ifCaEqr+WitMuJzN61Hk12P39++u+xyWQkhhJCloNluQP/E5ErI3i63vDLy4JGhUm1WxQYhZPHKNgiRujY9e8ZV4i0pLKkNcdMCVkIsOjV2tVfh0eMjCMeS+PqDJ+U+4YlkCoOesNzLei7NDj06aky4YIVj0cVjRq0KP3jzdnjCcejUSnz4qlVwBWI4M+rHgCeMpilBzm07m/Hsv12J7YscZEQIIYQsVzUWrTxwGAD2iRkIjCFjhaTYKAghMynbIKTOqkOzQy+n8VQqKQhpWWBHqGvW16LTFcQ7frEXP3rqHK799tMAhFWQRIqjvTq36eOMMfztAxfh5+84b0HbMdW2Fjvu/+DFuP9DF+O6DUL/7CdOCm0EV+a4TYQQQgjJTbVJK8/kAIAhbxh2gxqbGq3oLFEQkkxx+CMJWCgIIVmUbRACANtb7PLE70o1LHa3ql1gJwepCOuFTrd8mS8SxxlxiOHK6tw7TZm0Khg0+etVsKbOjFqLTh6suOessKrVQpNFCSGEkLxymrTwhuOIJoRZGYOeCOqterRVGUu2EuKPxAGAVkJIVmUdhGxrtmHYF8FgBbfqHfZF4DBqoFMrF3T/WosOt1/WDgCoEgcBbf7iI7j9V/th1qmwtq50HTEkJq0KTpMGz4pBCA0jJIQQQvJLOpk57I0gnkzhcJ8HDTY9VtWYMOAJwxuOZ9w+kUxhxBeZdd7YYknPSUEIyaasg5Dt4vC+F7tmnjux1A17IwteBZHccdUqfPPWzXj2366UJ5kDwI2b66HXLCy4yTdpmqiCLXzVhxBCCCHZrawRsg7OjQXwiz3dGA/G8JptjdjRagfnyOik+YeX+rDxiw/jgq8+jpu/vwexRKog20RBCJlN2c4JAYB19RaYtCr8/fAQXrOtSb7cFYjCadLOcs+lo28iJA8ZWiiDRoXbzmsGAPzh9t041OeBRafG7pWzz/UopstWV+OBI8NwGLU01IcQQgjJszqrkGUw4oviYN8E2qoMeOXmegSjCSgY8NNnunDH7w7hN++6AJ/688vy/Ub9UfS6QxnDifOFghAym7IOQtRKBa7fWIeH0gby/f6lXvzbn4/gT+/djZ1t8x/wV0445+h1h3Dpquq8PWZrlVGuwSgnr9rSiOfPjePiPP6shBBCCBE4TUJK9qgvihNDfqypMwMQOlaatCo5Jfp/nzg77b697iAFIaToyv6U9MWrnPBHEzgx5EMyxfHNh04BAB48OlziLVu8sUAUkXhqWRRq6zVK/M8btuG1O5rmvjEhhBBC5kWrUsJmUGPAE0KvO4TVtWb5utt2NsvfP3V6DADwq3eej32fvRoAcHokUJBtoiCEzKbsg5ALVggpRS90juNQ3wTGg0IPbGkAz1LWK/4MzQtsz0sIIYQQIqkxa7GvewLJFM9Y2fj3G9bhoY9cgos6qhCKCd2zVtWY5dT2rz94EmHx8nyiIITMpuyDkDqrDq1VBrzY5cZjJ0ahUjBcsMKB7vHSDd7JlyMDXgDIOFtBCCGEELIQNWadPBNkXf1kd0yFgmFtnQW72ydrRaVGNlIa19NnxvK+Pd5wHBqlAjp12R9ukhJYEu+KXSuq8ELnOPb3TKCjxoStLTb0joeQTPFSb9qinB0NwKJTUctaQgghhCya1H1Sp1ZgVZYaj42NVvl7xhgA4IlPXA4FA544OZr37fGF47Do1fJzEZJuSQQhN21pgD+SwN4uNzY3WbGiyohYMrXk54ccHfRhfUPp53gQQgghZOlrsgsnNRus+qwH/tIxxys318uXmXVqXL+xHo+fHEUqzyd3veE4rPqy7oFESmhJBCHSjAkA2NFqR5tT6P601FOyesaDWFmd/24UhBBCCFl+pCDEasheg1Fj1uHhj1yK/3n91ozLd7bZMeaPwhWI5nV7hCCE6kFIdksiCNGoFPjhm7djQ4MFV6ytwQoxCOlyLd0gxBuOwxOKo3UZdMYihBBCSOFdvMqJ9fUWfPTq1TPeZk2dGWqlYtplAHB00JvX7aEghMxmyayRXb+pHtdvEpYPOeeot+qw56wLb9vdVtoNWyCpM1aLo/xmehBCCCFk6am36vHAHZfM+35Sbao7GM/r9njDcXRQxgeZwZJYCZmKMYbLVlfjuXPjS7Y4XUola3PSSgghhBBCSsdmEDpkeUKxvD6uN0QrIWRmSzIIAYCLOpzwRxLYcucjZRuIcD7zdvW6pZUQCkIIIYQQUjoWnQpKBcNEHoOQVIrDH01QEEJmtGSDkMvXVAMAAtEEDvZOlHhrpvNF4tj55cfw/t/sz3p9z3gQ1WYtDJolkxFHCCGEkArEGIPdoM5rOpY/kgDngIWCEDKDJRuEmHVq7P/s1QCAJ0/lf8DOYj15agzjwRgeODKMieD0Mwsnhvxod1I9CCGEEEJKz6pXwxvO30oITUsnc1myQQgAVJm02NhoweF+T6k3ZZqzowH5+4N9mSs1nlAMx4d8OK/NMfVuhBBCCCFFJwQh+VsJoSCEzGVJByEAsMJpKst5IT3jQVQZNVAqGPb3ZAYhP3u2CynOceOW+hnuTQghhBBSPFa9Gr5wYlGP8aOnzuGO3x0EALjF+hKHUbPobSOVackHIe1OI/onwvBFFhe9H+n34kAea0t6xkNYW2/G+noLfr6nG/t73ACAZIrjdy/14aq1NVhbR9PSCSGEEFJ6lkWuhKRSHF9/8CTuPTSIiWAM4+LgwyqTNl+bSCrMkg9Cdq+sAufAS13uRT3OLT/cg1t+8JwcwS8G5xzd40G0OIy446pVCMWSuPWHz+MfLw/h2bMujPmjePW2xkU/DyGEEEJIPtj06qwtekOxBEKxuVdI+ifC8venRvzy9HWniVZCSHZLPgjZ0mSDSsEWtYrhDsYQTwrtdO89NIhgdHHLkWP+KDyhONbUmnD1+lo89JFLoFMr8MCRIfzs2S5Y9Wpcsqp6Uc9BCCGEEJIvDqMWvkgCsURKviwcS+KG7zyDG7/7bMbl2Zwa8cvfD3sjcAVi0KgUMGmpCyjJbskHIXqNEuvqLTjQ41nwY5wbE4rIb9vZBAB4oXN8Uds04BHOBrRUCTNA1tZZcO36Ojx2YgTPnhnDmy5ooUItQgghhJQNp1lYsXCndfT8xkMn0T0eQqcriH09s2ecnE4LQga9YbgCUVSbtGCMFWaDyZK35IMQANjRasehPg8SyexR+qAnjB8/fW7G60d9wpLhmy9ohUrBcM/evkVtz6hfeLwas06+7LLVIuOBKwAAEB9JREFU1YgmUkhx4PqNdYt6fEIIIYSQfKoyCrUbUhpVMJrAH/b1yUOVjw/6Zr3/mRE/Gqw6WPVqDEyE4QrEUEWpWGQWFRGEbGuxIRxP4sSQP+v17/nVPnz1gZN45qwr6/Wj/ggAoMmux3ltDjxxanTGgCUXY2IQUm2eLMZ61dYGvPH8Zvy/G9Zhc5NtwY9NCCGEEJJv0jGLdEz0zJkxhGJJfPO1m2E3qNHpmr0T6amRAFbXmdFo02PQE8Z4IAonFaWTWVREELJ7ZRU0KgV+u7c36/V9biE96lza7I50o/4oVAoGu0GDV21tQDLF0T0emna7z/7tCL7x0EnsnaMIftQXgYIBVWlt6dRKBb52y2a8+9L2XH8sQgghhJCiaLAJ2RuDHiEIOdjngVrJsKXJhjanEZ1j2Y+hAKHz57mxAFbXmlFv1aHTFYQrEM04DiJkqooIQmrMOly3Qai5mCqV4gjHkwAwYxQ/4o2g1qKDQsGwqdEKADgxlLns+Py5cfz6hV788MlzuO2u56ddn67XHUK9VQ+VsiJeXkIIIYRUuBqzDgomnJjlnOOJk6PY0WqHXqPECqcR3a7pJ2clPeNBxBIprK41Y3OTDT3jIYz4onCaaSWEzKxijpI3N1ox5o9iIpjZXm4sEJU7OswUxQ/7IqizCmcAVteaYdaq8PTpsYzb/PK57oz/P3hkaMZt6XWH0CoWpRNCCCGElDulgsFh1GDMH8XxIR9OjwRw/UZhqHK9VYexQBSplNBJlHOO2+56Hjd+7xkkkikc7vcAAFbXmlBnnQw8KB2LzKZigpCVNUYAk52uJP0TQuTuNGnROZZ9JWTYG0GdRQhCNCoFbthUj78dGsCZtE4PRwa8uHZ9Ld518Qro1Ar8/eUhfP7eo/j4Hw4jPqV+pNcdkgu5CCGEEEKWAqdJizF/FGfF9PVd7VUAhKL1ZIrLwwy7x0PY2+XG0QEf9na58fM93Wiw6rC+3oINDVb58dbUmov/Q5Alo3KCkGoTgOlBiNT56sKVVRj1R6dNVk+lOPo9YTkXEgDuuHoV4kmOnz7TBQCIxJMY8ISxocGKz964Hl+6eSM6XUHc/XwP/nygH48cm0wDC0YTcAViaKYghBBCCCFLSLVZi7FAFF2uIBiDnNUhdbkaF7NNjgx45fv86oUevNzvxevPa4FKqUBHjQm1Fi0MGiU2NVmnPwkhooqZINNkN0CtZNNWO/zi4MFNjVbcd3gQ/e4w1jdMzujwhOOIJVJosOnlyxpsepy/woEusYZE6nZVL6ZsvXZ7E6KJFCKxJL77zzN47MQIXrlZWLLsdQsrL5SORQghhJClpMGqx4mhEXSOBdFo00OnVgKYbN87Hoiio8aE08N+KBUM1SYtHjw6DAB4864WAIBOrcSjH7sMkXiSZqKRWVXMSohSLCrfcy6zDW8gIgQhHbXCSsmwL5xxvSckRPWOKR0cOmpMODHkQzLF5Z7Z0pkAhYLhrbta8e5L23HN+lr89eAARnxCNwlpCbPVYcznj0cIIYQQUlAtVQa4AjHs7XKjo8YkXz51JaTLFUSzXY/L11QDAMxaVUb9h0WnzpiVRkg2FROEAMA16+twdMCH3V97XA4GAuJKSIeYrjXsjWbcZyIkpGdNjdZ3tNjhjybQORaAKyD80WUrsLpstfAH+K5f7sO//uIlfOieg9CrlVhbT3mQhBBCCFk6VjiFE6jDvghu2FQvXy7VzQ56hBO5fRMhtFQZ8fYL2wCAjnnIglRUEPIKcRL5kDeCrz94AoAQhOjUCjTY9FApmFyoLvGGhQDDZshcCdks5jG+3O+V07GytZq7aXMDACE/8p8nR9FaZcDXb90ENbXnJYQQQsgSsqPVLn9/4+bJIMRmUEOjVMgnZcf8UdSYtVhXb8Ff3n8hfvSWHUXfVrL0VdSR8gqnEbdsbwQAnB4RVkL8kQRMWjWUCoaWKsO0wnWPuBJim7IS0l5tgkGjxKE+DwY8ISgVDLVZghCFguFrt2wS72PEU5+8Ajdvbcz7z0YIIYQQUki1Fh3+9oGLcPjz18KgmSwbZozBZlBjIhhDSkxTlyasb2+xo4pa8ZIFqJjCdMm3btuKtiojvvXoaYz5owhEEzDrhB+zo9qEh4+N4P7Dg7hpi7CCIaVj2QyZQYhSwbCrvQqPnxjB+gYr2qoMMw4fvG1nMwDgmvW1hfqxCCGEEEIKbmuzLevldoMGE6EYvOE44kmOago8yCJV1EqIZIv4B/TMmTH4I3GYtEIQcsv2JgDAh+45iAO9EwCAU8M+OIyarB0cLu5wYtAbwWMnRjL6Xk+lVDC88fwWGspDCCGEkIpkM6gxEYphxC804qmmaehkkSoyCLmkwwmrXo0XO92YCMZgFztfXbehFq8SV0D+fliYeH5s0Id2pxGMsWmPc1GHU/7+9svai7DlhBBCCCHlx2HUYCIUR++4UFtLQ5nJYlVcOhYg1Gmc1+bASz1uxBIptIudsRhj+O4bt6HLFUSnK4BIPIlTw36865LsAcaaOjO++ppNaLTrZ10JIYQQQgipZA6jBq5AFMPiSIJ6G7XgJYtTkUEIAKxwGrDnrDAzpGrKDJAasxZD3ghe6nYjkeI4r82e7SEAAG+6oKWg20kIIYQQUu4abHp4QnF0u0JQsMkBhoQsVEWmYwFAlUmLcDyJcDwJh2lKEGLRYtQfkTtozVSERQghhBBChBO4AHB8yAunSQulYnoaOyHzUbFBSPoE9OkrITqMB2MY8oShUSqmTUsnhBBCCCGTpOY7J4f9qLHQKghZvIoNQpxpqx+OKUuGNRYtOAdOjwZgN6qzFqUTQgghhBBBlXhc5QnFUWOmehCyeBUbhKxwmuTv26oyOzhIfzynhn2wG2gVhBBCCCFkNulZIzXUnpfkQcUGIemBh9QdS1IrLiOO+KIUhBBCCCGEzCF9FhoFISQfKrY7FmMMD95xCZIpPq14qt6ql7930h8SIYQQQsisdGql/H2b01jCLSGVomJXQgBgXb0FGxunz/dIrxfZRp2xCCGEEELmdMkqYYgzzU4j+VCxKyGzkVZJ7j88SHNACCGEEEJy8N+3bcHhPi/W1JlLvSmkAizLIAQQVknW1VtKvRmEEEIIIUtCjVmHa9ZTZyySHxWdjkUIIYQQQggpPxSEEEIIIYQQQoqKghBCCCGEEEJIUVEQQgghhBBCCCkqCkIIIYQQQgghRUVBCCGEEEIIIaSoKAghhBBCCCGEFBUFIYQQQgghhJCiYpzz/D8oY2MAevL+wHNzAnCV4HmXEnqNckOvU27odcpNKV+nVs55dYmeuyRoH1TW6DXKDb1OuaHXKTdluQ8qSBBSKoyxfZzznaXejnJGr1Fu6HXKDb1OuaHXaXmg3/Pc6DXKDb1OuaHXKTfl+jpROhYhhBBCCCGkqCgIIYQQQgghhBRVpQUhPy71BiwB9Brlhl6n3NDrlBt6nZYH+j3PjV6j3NDrlBt6nXJTlq9TRdWEEEIIIYQQQspfpa2EEEIIIYQQQsocBSGEEEIIIYSQoirrIIQx1swYe4IxdoIxdowxdod4uYMx9ihj7Iz4rz3tPp9hjJ1ljJ1ijF2XdvkOxtgR8brvMsZYKX6mfMvza/SkeNkh8aumFD9TIcz3dWKMVYm3DzDGvj/lsSryvQTk/XWi99Pk63QNY2y/+L7Zzxi7Mu2xKvb9tNTRPmhutA/KDe2DckP7oNxUzD6Ic162XwDqAWwXvzcDOA1gPYBvAvi0ePmnAXxD/H49gMMAtABWADgHQCletxfAbgAMwIMAri/1z1eGr9GTAHaW+mcqk9fJCOBiAO8F8P0pj1WR76UCvE70fpp8nbYBaBC/3whgYDm8n5b6F+2Div4a0WcG7YNoH1SY16ks90FlvRLCOR/inB8Qv/cDOAGgEcDNAH4p3uyXAF4tfn8zgN9xzqOc8y4AZwGczxirB2DhnD/PhVf87rT7LGn5eo2KutElMN/XiXMe5Jw/CyCS/jiV/F4C8vc6VboFvE4HOeeD4uXHAOgYY9pKfz8tdbQPmhvtg3JD+6Dc0D4oN5WyDyrrICQdY6wNQiT3IoBazvkQIPwiAEhLbI0A+tLu1i9e1ih+P/XyirLI10jyc3HZ8nOVtMSbLsfXaSbL4r0ELPp1ktD7abpbARzknEexjN5PSx3tg+ZG+6Dc0D4oN7QPys1S3gctiSCEMWYC8GcAH+Gc+2a7aZbL+CyXV4w8vEYA8GbO+SYAl4hfb83vVpbePF6nGR8iy2UV9V4C8vI6AfR+ynb7DQC+AeB26aIsN6u499NSR/ugudE+KDe0D8oN7YNys9T3QWUfhDDG1BBe4N9wzv8iXjwiLiFJS5Oj4uX9AJrT7t4EYFC8vCnL5RUhT68ROOcD4r9+AL9FhS2Rz/N1mklFv5eAvL1O9H6a8joxxpoA/BXA2zjn58SLK/79tNTRPmhutA/KDe2DckP7oNxUwj6orIMQcensZwBOcM6/lXbVfQDeLn7/dgD3pl3+BjHPbQWAVQD2iktSfsbYLvEx35Z2nyUtX68RY0zFGHOKj6kGcCOAo8X4GYphAa9TVpX8XgLy9zrR+wlA2uvEGLMB+AeAz3DO90g3rvT301JH+6C50T4oN7QPyg3tg3JTMfsgXgZV/jN9Qeh4wAG8DOCQ+HUDgCoAjwM4I/7rSLvP/4PQbeMU0ir8AeyE8AY8B+D7EKfFL/WvfL1GEDpM7Bcf5xiA70DsWFIJXwt8nboBuAEEIJwtWF/J76V8vk70fsp8nQB8FkAw7baHANRU+vtpqX/l6/O1kn/P+XqN6DOD9kH5fJ3o/bQ09kFM3ABCCCGEEEIIKYqyTscihBBCCCGEVB4KQgghhBBCCCFFRUEIIYQQQgghpKgoCCGEEEIIIYQUFQUhhBBCCCGEkKKiIIQsO0zwLGPs+rTLbmOMPVTK7SKEEFL5aB9EiIBa9JJliTG2EcAfAWwDoITQM/sVfHKK6HweS8k5T+Z3CwkhhFQq2gcRQkEIWcYYY9+EMLzHKP7bCmATABWAL3LO72WMtQH4lXgbAPgg5/w5xtjlAL4AYAjAVs75+uJuPSGEkKWM9kFkuaMghCxbjDEjgAMAYgD+DuAY5/zXjDEbgL0QzlBxACnOeYQxtgrAPZzzneIO4B8ANnLOu0qx/YQQQpYu2geR5U5V6g0gpFQ450HG2O8BBADcBuAmxtgnxKt1AFoADAL4PmNsK4AkgNVpD7GXPvwJIYQsBO2DyHJHQQhZ7lLiFwNwK+f8VPqVjLEvAhgBsAVCI4dI2tXBIm0jIYSQykT7ILJsUXcsQgQPA/gQY4wBAGNsm3i5FcAQ5zwF4K0QCggJIYSQfKJ9EFl2KAghRPAfANQAXmaMHRX/DwA/APB2xtgLEJbB6cwTIYSQfKN9EFl2qDCdEEIIIYQQUlS0EkIIIYQQQggpKgpCCCGEEEIIIUVFQQghhBBCCCGkqCgIIYQQQgghhBQVBSGEEEIIIYSQoqIghBBCCCGEEFJUFIQQQgghhBBCiur/A7cJCZQqLzsnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a list of data frame names\n",
    "# not sure this is neccessary but trying df = df_list.index(currency) in the framer function doesn't seem to work\n",
    "# create a list of data frames for each currency with log rate of the exchange rate, 30 day rolling mean, and year\n",
    "col_names = []\n",
    "df_dict = {}\n",
    "for currency in x_rates.columns[1:]:\n",
    "    df_name = currency\n",
    "    col_names.append(df_name)\n",
    "    df = x_rates[[\"date\", currency]].copy()\n",
    "    df = df[df[currency].notna()]\n",
    "    df[\"log_rate\"] = np.log(df.iloc[:,1]/df.iloc[:,1].shift()) # getting the log of the exchange rate # double check this is the correct way to get log\n",
    "    df[\"rolling_mean_30\"] = df[currency].rolling(30).mean()\n",
    "    df[\"year\"] = df[\"date\"].dt.year\n",
    "    df_dict[currency] = df\n",
    "\n",
    "# list of countries for comparisson    \n",
    "c_list = [\"us_dollar\", \"japanese_yen\", \"uk_pound\", \"australian_dollar\",\n",
    "          \"israeli_shekel\", \"philippine_peso\", \"malaysian_ringgit\", \"romanian_leu\"]\n",
    "\n",
    "# line graph showing Euro to each high frequency trading pairs\n",
    "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2, figsize=(12,8))\n",
    "fig.tight_layout(pad=3)\n",
    "for ax, currency in zip((ax1, ax2, ax3, ax4), (df_dict[\"us_dollar\"], df_dict[\"japanese_yen\"], df_dict[\"uk_pound\"], df_dict[\"australian_dollar\"])):\n",
    "    ax.plot(currency[\"date\"], currency[\"rolling_mean_30\"])\n",
    "for ax in ax1, ax2, ax3, ax4:\n",
    "    ax.set_xticks([\"2000-01-04 00:00:00\", \"2005-01-04 00:00:00\", \"2010-01-04 00:00:00\",\n",
    "               \"2015-01-04 00:00:00\", \"2020-01-04 00:00:00\"])\n",
    "    ax.set_xticklabels([2000,2005,2010,2015,2020])\n",
    "    ax.set(yticks=[],\n",
    "           xlabel=\"Year\")\n",
    "#   ax.set_ylabel(str(currency)) # why not, i can get it to change to a string \"currency\", but not a variable\n",
    "ax1.set(ylabel=\"US dollar\")\n",
    "ax2.set(ylabel=\"Japanese yen\")\n",
    "ax3.set(ylabel=\"UK pound\")\n",
    "ax4.set(ylabel=\"Australian dollar\")\n",
    "fig.suptitle(\"Euro to High Frequency Pairs\", fontsize=20)\n",
    "plt.show()\n",
    "\n",
    "# line graph showing Euro to each low frequency trading pairs\n",
    "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2, figsize=(12,8))\n",
    "fig.tight_layout(pad=3)\n",
    "for ax, currency in zip((ax1, ax2, ax3, ax4), (df_dict[\"israeli_shekel\"], df_dict[\"philippine_peso\"], df_dict[\"malaysian_ringgit\"], df_dict[\"romanian_leu\"])):\n",
    "    ax.plot(currency[\"date\"], currency[\"rolling_mean_30\"])\n",
    "for ax in ax1, ax2, ax3, ax4:\n",
    "    ax.set_xticks([\"2000-01-04 00:00:00\", \"2005-01-04 00:00:00\", \"2010-01-04 00:00:00\",\n",
    "               \"2015-01-04 00:00:00\", \"2020-01-04 00:00:00\"])\n",
    "    ax.set_xticklabels([2000,2005,2010,2015,2020])\n",
    "    ax.set(yticks=[],\n",
    "           xlabel=\"Year\")\n",
    "#   ax.set_ylabel(str(currency)) # why not, i can get it to change to a string \"currency\", but not a variable\n",
    "ax1.set(ylabel=\"Israeli shekel\")\n",
    "ax2.set(ylabel=\"Philippine peso\")\n",
    "ax3.set(ylabel=\"Malaysian ringgit\")\n",
    "ax4.set(ylabel=\"Romanian leu\")\n",
    "fig.suptitle(\"Euro to Low Frequency Pairs\", fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df8ba05c",
   "metadata": {},
   "source": [
    "## **Euro & Traded Pairs Conclusion**\n",
    "\n",
    "### High Frequency Pairs\n",
    "* The US dollar, Japanese yen, and UK pound all show a tight ratio with the Euro in the early 2000s.\n",
    "* Both the Japanese yen and Australian dollar have a period in late 2011 where the exchange ratio gets tight and then rebounds. Is it really at the same time? Are there any other countries with the same pattern and what could the cause have been?\n",
    "### Low Frequency Pairs\n",
    "* The Israeli shekel appears to have increased in value and the Romanian leu is definitely loosing value.\n",
    "* The shekel and leu appear to be fairly stable, or have low volatility.\n",
    "* The Israeli shekel and Malaysian ringgit also show the tight ratio of the early 2000s. This is seen to a lesser extent in the Phillipine peso.\n",
    "\n",
    "## **The Early Struggle and Other Alignments**\n",
    "An overlay of all currencies focused on the first decade of the Euro shows it's initial struggle and eventual success."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "188f4913",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_values1 = df_dict[\"us_dollar\"][\"date\"]\n",
    "y_values1 = df_dict[\"us_dollar\"][\"rolling_mean_30\"]\n",
    "\n",
    "x_values2 = df_dict[\"japanese_yen\"][\"date\"]\n",
    "y_values2 = df_dict[\"japanese_yen\"][\"rolling_mean_30\"]\n",
    "\n",
    "x_values3 = df_dict[\"uk_pound\"][\"date\"]\n",
    "y_values3 = df_dict[\"uk_pound\"][\"rolling_mean_30\"]\n",
    "\n",
    "x_values4 = df_dict[\"australian_dollar\"][\"date\"]\n",
    "y_values4 = df_dict[\"australian_dollar\"][\"rolling_mean_30\"]\n",
    "\n",
    "fig = plt.figure(figsize=(12,8))\n",
    "ax = fig.add_subplot(111, label = \"1\")\n",
    "ax2 = fig.add_subplot(111, label = \"2\", frame_on = False)\n",
    "ax3 = fig.add_subplot(111, label = \"3\", frame_on = False)\n",
    "ax4 = fig.add_subplot(111, label = \"4\", frame_on = False)\n",
    "# for ax in ax, ax2, ax3, ax4:\n",
    "#     ax.xaxis.set_major_locator(years) # format the x ticks\n",
    "#     ax.xaxis.set_major_formatter(years_fmt)\n",
    "#     fmt_three_years = mdates.MonthLocator(interval = 36) # Major ticks every 3 years\n",
    "#     ax.xaxis.set_major_locator(fmt_three_years)\n",
    "#     ax.set(yticks=[],\n",
    "#            xlabel=\"Year\")\n",
    "ax.plot(x_values1, y_values1, color = \"blue\")\n",
    "ax.set_yticks([])\n",
    "# ax.set_xlabel(\"x label 1\", color = \"C0\")\n",
    "# ax.set_ylabel(\"y label 1\", color = \"C0\")\n",
    "# ax.tick_params(axis = 'x', colors = \"C0\")\n",
    "# ax.tick_params(axis = 'y', colors = \"C0\")\n",
    "ax2.plot(x_values2, y_values2, color = \"green\")\n",
    "ax2.set_yticks([])\n",
    "# ax2.xaxis.tick_top()\n",
    "# ax2.yaxis.tick_right()\n",
    "# ax2.set_xlabel('x label 2', color = \"C1\")\n",
    "# ax2.set_ylabel('y label 2', color = \"C1\")\n",
    "# ax2.xaxis.set_label_position('top')\n",
    "# ax2.yaxis.set_label_position('right')\n",
    "# ax2.tick_params(axis = 'x', colors = \"C1\")\n",
    "# ax2.tick_params(axis = 'y', colors = \"C1\")\n",
    "ax3.plot(x_values3, y_values3, color = \"yellow\")\n",
    "ax3.set_yticks([])\n",
    "ax4.plot(x_values4, y_values4, color = \"purple\")\n",
    "ax4.set_yticks([])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9704b049",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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DZK3dQBNSNNBlfd73ZaxDh2DuXCgqkiKosRKv9u9XcrJsq6tFpD72mNz/3Ods+5x9NvzrX5JfHDq4I0wAqcI1ZQCkXWw8Iy9eq4H3gNsZfNFqDtKgYAPSwECj0QydOkS8KuP/IKQ5yV6PRxx+6TDvfvtdmk80k3tuLjOvnMn0yyTdoK2qjd2P7ObV21+lbHMZLSUtlG4o5aIHL2LvE3t588tvUnewjtPuOo3SjaXs+fceSj4u4fzfns8Z3z0Ds8lMycclHHjmAI3HGpl/y3wuevCiEX4PNPZo8ao5aWhslKirwSkwN9W6kvOadcX33ntFvO7Z46N47W4hZkCkSc6riryKYKpEWheCP8vEtbVSLDVjBrz6Kvz1r65jH0ksFlfxOsP63XD0qIjUv/wF1qyxvYcgqQMPPggnTtj2Hzm2AglIjlspYpHjjiRGPr/UmvDrk7ekESks0zmvGs3wUelY9sb9q7Gl8YDZZGbdt9ZRtrGM4PBgyjaXkTgtkUsfupTFX1iMweniOvva2Tx/3fPsengXxmAj5/3mPJbds4xpF0/j9c+/zuY/bGbTbzcBEJkSyeWPXM5pd54GgDHISO65uYM2I9CMHFq8ak4ajh6FnBzXx+0F1s6dYrKfmQnbtvl23taeVuIGHJFkWSjEKJHXIGMLsN/63Ez8Ea/19TBvHpx5pjQB+PRTWL588OMCRVeXCFh78ZqaKh65tbXwyScyIfjqVx2PU3mvW7aMtHhtAFYg4vU5oBBpveqOyfiTbzw0DiJLldf5uH8Co5OHq9Gc7KjC2CS7x6Yh0dgWLJZYXr/rdfb8ew8Zp2VQf6Seyasmc/PbNxMa7X55KCQihJveuAlTrwlDkAFjkKymJOYnctuHt9FY2Mjhlw6TtSKLyasmu4hfzdiixavmpKGwEM47z/Xx6dOlSn7mTJst1IoV8PzzsHXr4IKxtqOWtOhIJLoqkdewYLmIWiwd2OxaVgCP42vP7fp6WaZfaS1aLyoaXfGqHBjsxavRKHmvjY0ipsHRIgts3csqKkZ6hGpJsAn4AFkqvNPDvpnIEv1IshHJX/X1shmDzSFBo9EMHZUSZC9el1m3z3LkldXs+fceln9zORf+6UIsFovPYjMoNMjt44n5iZzx3THryKIZBO02oDlpaGmxFRw5c+GFjn6mDzwgLU7/85/Bz1vQWMDUBFXZJZFXg8Hq6k8XNvGqCnOcXP7d0NwMnZ2QliZRYBgNMeiIajzgnCOckCD5w9u2SWTV+T0NC5Mir5H3erX34/oXMAsI97BvLDCS7XpNiJhe6scxUcAwW7tpNBrcR17PBHKwWN7gk198QnxuPOf/RvLAdJT05EeLV81Jgckk3qRxcb7tP2kSnH46HDgw+L71nfVMilGiSVWTqshqJ1CDeH/Osz5WPOg5ldPAggUiBGNioLzc+zGBxl3kFSRvuLwc3n4bzj3X/bEpKaMhXu0nAfWAh8EAYp81kuK1EJmozPfjGC1eNZrAUIRMXEW89vf0099jAtZQurGI6t3VrPz2So9RVM3Jh04b0JwUKFN9X8UrwKxZ8PLLg+/X3tvO5DgTYs+i8qdEvPaZW5E2hXOQnFcjsrzsvfJUCT8Vdc3KGv3IqyfxmpYGb7wht92lYQBkZIyG2G4AsgD1QoOJ1x6k+9VIdLhRec3+iNc4pGWtBVd7L41G4zsFiNNAEIXrCnnhhhewmC3kXziZ+iPBRKZEsPBzC8d4jJrRREdeNScFylTfH/E6c6bknQ7WIKC9t52kiD6kp7YihH4z9JpagTKkGj4Z8SH8ZNDXbm6WrVqSz8wcO/EaFeX4+E032W57irzOny9WYyPb2rYRsZtSnOVlX6XARyrSqf44OX4cMwWJBuuiLY1meDQCydQdruPZK58lNiuWaZdMo2q3ke7mcC780zRCInVb1lMJHXnVnBSoBgX+iNd51lX+wRoEtPe2ExkSgyrWUvSZguk3tyL5kMo6ay7wAoNF25RgTkiQbWamfy1rA4GnyOt118n4Lr/cNj5npk6VCUNbG8TGut9n+DQgy4QvADuwNSNwh/ol2gfZb6hUIRFdD2+IWybZHZvobUeNRuNEd0s3ux7ZhTHIyIy1vYTFTeb5a58nJCqEz77/WaLTopGUrXRs11/NqYIWr5qTgr3WwvS5nmxA3aAq+x9+2LN4NZlNdPZ1EhkSjrN47e4PIz68HVmqVhfPWUiUoA5I9fjaR49K1DXSWveVmQlVVZK7GzRKaVuexGtwMNxzj/djJ1l1WWXlSIrXCiSSfY31xxvql2gdobEcR6Ku/ixWqfzotoCP5mSgo7aDLX/awvJvLrcKEY1GKNlQwlMXP0Vfh7RfXffNywmLNdPf08jNb99s93lJQya4xWM00onM28g19q6xHsiQ0GkDmpOCykrZ5vrhGR0TA9/4hhRP9fa636ezT5oPhAf3YRMjQnN3ClfOlIvrp+Vt3PDCDbT1qNBvjcfX7eiAV16BSy+1PTZ9ughXXwrIAoUn8eoLSryWlQVuPI50Il9Ic3zc35o8zDeQKG2gKUI6+viDFq/eeOcb77Dpt5t45bZXXJ6r3lPN8fXHsYxsXopmHKJSA8Jiwrj2uWv50t4vMvu6w0w5y8wt79xC7jnOF/lcBmsTq3HHZ4DPM1EbqWjxqjkpaGqCiAixcfKHFStEuO7f7/75ijbJdQwN6sE58trZlwWAxRLKmf/+Dc8dfI5XjnykRuSw7/HjUpR1993w619Lu9ovf9n2/FnWdM6tW/0b/3AYjnidb61b2jESOhEAaxIzyT7ur77Q3gOuHvarf+Ur8NBD6p4FEa95fp5Fi1dvqD7yReuKaClrGXh88x82889F/+TJNU/yyS8Gzx/XTGx6O3rp6+obuP2/y/6HxWLh1vW3Mue6OaTNN3Ldc89y42sp5Jyd4+YMZyBFstrZw3e6sK1SbRzLgQwZLV41o05JCdx1lwjOQNHY6Dk/0xunW61ZPYmwo/VHCTZCSFAvzuI1PnwJAAdqk+g1yWN7a1SXp2aHfX/xCynI+vvf4b77JGdUNScAEbYgKQw/+9lIF0IJSryq1AV/SEyUtIeqqoAOyQ4l+GK87mUj0+5217BeubQU/vEPmVzI36EREdNavAaKtqo2WstbmXO9RNard0szh/6efj7+2cdMXTOVrBVZfHTvR7RWjFQqiGYssVgsvHn3m/w2/rf8OubXvHjTizxzxTM0HW/iuueuI3WOSrtS19QpHs50PuI0smvEx3zysNvu9s4xG8Vw0OJVM+p89rPw6KOweXPgztnUNDTxmpMjRV6eIq/N3c1kD2jWLIfn0qL/j+cOGrjmuSqiQ6M5N/dcjtSrjkpNWCxw++3w3e9KUdgVV4gw/cY3YP16sPfRDg6WcezaBffe6xiVHSna28VpwDjEq0B8vM01IfAoweKreLX/JbI97uULr7xiuy0CX0X/Fvt5Ji1ePVG5XfJ8Ft21iJCoEI69Jcu+h188TG97Lyu/s5K1j64FC7xy2yv0tPaM5XBPSky9JnY/tpvaA7WD7zwCHHnlCDv+voPZ185m0R2LOPbWMUo+KeHSf1zK1PPtU3TU/0+8hzMtsW5HbBnoJER1I8wCfPCLHIfogi3NqFJYCJ9YtcDhw455n8OhthaSkgbfzxmDAfLypDWrO9p628gecDBwnPkHG7P4+cezOdZ4kG+v+BIGg4En9spFoampgUS7AvPYWPje97y3f33jDfjlL2HdOvjnP2HtWrjkEv9/J19pbx9ayoAiPt5mURZ4/I28AvwPuBFv+ca+cPy47XZ5OcyatRdxjvC3d68Wr54ofKcQY7CRyWdMJvP0TGr2yt/s+HvHCYsNY+p5UzEYDaz5wxre+/Z7bPnTFs6+9+yxHfRJxrNXP8uxN48RGhPK14q+RlRKlNf964/Wc+CZA+StySN7pe8TRIvFQl9HH6HRoQOPdTd38/HPPiYqLYqr/nsVxiAjl/3zMky9JoLDnGVJp3XrqeV2OpACHPZ5TJoTyHt2B/BL5D32tAQ3Pn2qdeRVM6rYRzhfeikw57RYpNBpjq+1PU54E6+tPa3YrrmuQurdW9/lB6t+wM/P+TmnZZxGbUcfZks4NTVirH/FFRJJLSjwLlwBVq2Cd94R8Qoi7NXS/khQV4eDwPaXkY28DkW8fga4F6gE+of8yvZFaJ9+CnKhzwT8TKgmHAhCi1dXjr93nGmXiDdn8qxkavbV0NXUxaEXDjH9sukYjPJlufL/VjLzypl8+uCn9LSNfvS1v7uf2gO1dDUOLxVlvHHigxMce/MY0y6dRm9bLxt/4z3vse5QHf86/V98fO/HPHnBk9QdHrzIp7mkmUMvHuKJs5/g1zG/5sk1T/LWV9+ipayFt7/2NjX7arji8SswBokMMRgMboQr2MSrt/ymdCZq4dHYUIeI10WAGVsTFnfMBQaxnxkDtHjVjCql1vSl226DLVsk+jpcOjokApiTM7Tj8/LgxAnod6N3WntaiR24oLpePCfFTOK+8+4jIiSCzBjJu+zsS8VkKiYoCP77X/jpT6Vrla+cf76t8OwLX/Dzl/GD4mL/3BmciYsbjnjtHuR5dWI/jHsd9h+66i8vl4kEKBeL95DuPv5iQMS3Fq/29Hb00ljUSMbiDADm3DCHvs4+Nv1uE73tveSe7/ihXPX9VXQ3dbPjodFfFn7xxhf5x7x/8Luk3/Hs1c+y/+n9lG4qHfzAcc6hFw8RHB7M9S9cz4wrZrDzoZ10N7v/n+zt6OWFz7xAcHgwd2y6A4PBwMZfeRa7FrOF5659jgdyHuD5a5+n9kAt826aR9PxJrb/bTt/nvxn9j25jzO+ewbTLp7mw2h9Ea8pyKRV4xu1yHu20Hp/t4f9TIiTg/eo/FigxatmVNm0SYqTvv1tub9ly/DPqVqtpqQM7fj8fBGu7myf2nraSIoIt97zXtmUFSs5sbUdUUREHGfu3KEtyxuN0N0NN9wg0WlPNl7Dpa4OUj1b0Q7K0COvJ5AlwIe87KMEQpaXfdyhIrVDL/IpK4Np06SQrb29DWkysGaIZ9Pi1Zm6Q3VggdR58uGbfMZkwuLC2PSbTRiDjUy/dLrD/plLM8k5J4ddD49uQU57dTtHXjlC3JQ4ln1jGUdePsJLN7/E46se59CLh0Z1LIHE3G9m/1P7mX7ZdILDg1n5nZX0dfax81+uhTsWi4V131xH7YFarnj8CrJXZrPw9oUceOYALaXuc4b2/Xcfh188zNJ7lnLXp3fxrYpvcfVTV3NP4T1c+cSVxGbHctGDF3H+b873ccS+iNfFwHa044CvlCMeuarl+QkP+1UgPubDiHKMEFq8akaVggJYtEhas4aFwb59wz+nEq/JvroqOZFnLSJ3lzpQ1lpGWpQSRN5nnznxOeQl5LG/po/MzCNMn944tAFZufZa6OmBPXuGdRqPdHa6tob1h6HnvL5i3f7Syz6ViPm4pzw3T6jquqGJ174+qK6G7Gz5PPX2qmiOvyJaocWrMyq/NW2eLEcYg43Mv1W811b9YBVRqa4fymmXTqOxsJH6o4P0cg4gux4VsXzzWzdz0f0XcfM7N7Pi2yuImxzHO19/h/6eoaemuKP+SD0v3PCCT0vyw2HfU/voaelh9vWzAchemU3m0kx2PbwLU5/JYd8dD+1g1792seJbKwYmFcu+vgxzv5ndj7tG60x9Jj669yNSZqdw0QMXkbk0k+BwWbkyGAws+OwCvln6TZbds8yPEStB6k28zkJyM4eX735q0Ih4aC9BVodyAE8G469Yt6eP9KD8RotXzajS2CiFVcHB4rEaCMeBWmux7FAjr97E69GGo0yOVyf2Hnk1GAzMSZ3Df/ebCAvr4aKLXhvagKysWCHbkfJ+7egYvnhtbQWz2d8jVbi9E7G4cUcHtq5Z/jA88VpZKTnUWVliZXb8eLn1mUlej/OMFq/OFL5dSMykGBKm2uxBLn7wYu4+crfHoqz8i/IBqNo5Yt5sLux5fA+TV00mZbb8/+dfmM8Fv7+Ayx+5nLaKNp6/9nnM/X5/+D3ywQ8/4OBzB1n3jXUBO6czFouFXQ/vImZSDLOungXIdev0u0+nsbBxwHvXYrGw77/7ePurbzN1zVTW/M628pCYl0jOOTls+8u2AX9WxY6HdtB8oplzfnkOBkOginyakNxxb/nv6datFq+Do94jNSE/E4lau2Mf0inytJEelN9o8aoZVRobbUVCU6dKfuFwUV2pZgwlLRFpzQq2Ll32NHQ2kBiu0gYGjwLOTJrJmwXl9PUFM3Xq8Lq+ZGaK/deRI8M6jVtMJonqDke8xsWJ0Gv1WyeWIjP+JuAxD/t0MLQ8q+GlDajUkawsacSQlXXQ+sysIZ1PxLQWr4rWilaOvX2MGVfOGCjKAhFQyTOSPQqexPxEDEEGKnf6l9dosVh4++tv8/HPP/bruModlTQVNTHrWte/e96aPM669ywK3ihgzxN7/DqvJ1orWjn8shQAFL1bxPH3jw9yhFhdvXrHqzxx7hO01/iW412xrYKyzWWcfvfpA4VSADOvmklEUgQvf/ZlnrtG8lVfvvVlsldmc+0z1zr8rQBWfW8VXQ1dbPmTLe+rp7WHj+/9mClnTmHmlTN9Go9vNAIJeK94V/lPWrwOjlq9UEGZfKSAy/k6ZUEaGExnPKLFq2bU6OmRaJ8Sr1lZskQ73JzO4mJZ4h2KzytIjmlUFLQ5/e+aLWaaupuICw9C8oIGd5abkTyDrv4+ikszycwsHNqA7Jg5UzxhA02nNY1sKA0KFPHxsvU/daAU+BywAHjGwz6dDE28Kguf4iEcC4esqYyzZkkkPzu7DLM5HFtkx1905FVR9G4RD+Y9iKnX5OeyMQSHBTPlzCkUf1js13EVn1aw7cFtfPTTj+jrtEUJ+7v72f6P7bx656ts+dMWhza0bZVtfPiTDyWd4eb5bs971k/OImtFFuu/u57O+k63+/jDpw9+Chb44u4vEp8TzxtffIPeDs8Xxo7aDp449wn2PL6H4g+L+fAnH/r0Otv+so2QqBBOu8sxkhYWE8b1L1xPZFIkdYfrSJmdwsV/uZib376ZiETXSXveBXlMv2w6H/74Q177/GscX3+cDb/aQFdjF2t+vyaAUVcQ8TqYLUo+Im69Vc1rBJWWosSrmqA5F+HVAEeBq0ZjUH6jfV41o0a9dcKnxGt2tkTuqqpgiqfmKT5QW+tfNb87YmJcbanaetowW8wkhJuRmf/gzEyWiENhRTLL5w1fvF5+OfzgB0NvwuCJDmsa2XAir7HWFXr/xGs1UgA1B7n8eDLI7mCwNA33ZCEWVYNHrtxx8KAU2U2ZAunpYDA00teX5HfbYRtavIIUCb3xpTeISoni2mevJXmm/wnqyTOTOfCMp9w89xx87uDA7aL3iph5xUwsFgsv3/oyh16wFV01HW9iwW0L6Kzv5JXPvkJnfScX/OkCIpPdfwYNBgOX/fMyHl78MC985gVuWXeLQyTTH+qP1rPtL9uYc/0c0hemc/m/LufJNU/y6YOfsvr7q90es/576ynfUs7ax9ZSvaea7X/dzqrvrSIh1/NForW8lUMvHGLRHYvc5hXnnJ3Dl/Z+yedxX/XkVaz75joO/O8Aux+R/Nd5N88jc2nmIEf6iy/iNQ4pQJr4ThAjzz4kbqkm+hch9QXPABfb7aeW/HxxhBh9dORVM2oUWrVcvqSvkW3933FX5e8PtbW2qvlDdYdY8+QaKtv8W16MjnaNvDZ0NQCQENFBU1M2M2bA9u2w01qUa7FIgY89M5Ikd+FYTQQxMceQpZehM9O6+nZ8aFrMI4GIvEZYAzJdfllgqjyRaYjQrMd9O9ehpg0YkE48LUNqsVtWBpMnS/OK00+HpKQGWluHYYarxSsAe/69h+YTzVzy90v8Mri3J25KHN1N3R4tnZyxWCwce+sYU86aQmhMKHv/vReAA88c4NALh1j5nZX8xPQTln1jGdv/tp1Hlj7C05c8TVBYEHd9ehcrvrnC6/nT5qVx6T8u5cT7J9jyx6HZpvR39/O/y/8HFjjv1+cBMPX8qeScncMHP/iAx1c/zrG3HdOPCt4oYM/je1j+zeUsun0Ry7+xHIvZwu5HPdkdSYrBC595AWOwkRXf8v57+Up4fDhXPH4F36n7Dte/eD0rv7uSi/9y8eAH+k0jIq4GIxFJRdJ45ygwFduEIBQ4F3gHx++rl5BUuTNGdXS+osWrZtQoLpbtVGvnv0CL157+Hub8fQ7rj69nU+kmv84RE+MqXo/Uy8wzLqyPgwdTKCiApUthyRLplmU0Qmioo91XUmQS0cYkCpvMBAe3MVzjbOVde8iDM89//gPTpyszfUc6OuCee+D5512fU1Hm4URelfD1T7yqMG0cMNt6253Zr7eOL4MRi8XSwsyZ8P3v+3dkWZktBzotDVJSGmluHkLrtgHikPzbwFamTzSU5dT0y4aeP5e1XApMSjaU+LR/zd4aGo42MPva2cy8cialm0rp7+lnx993kJCXwHm/Pg+D0cCFf7qQS/52CRc9cBFrH13Ll/d/2efo4aI7FjHlzCns/OdOh9QDRVul54mLqdfEhz/9kMZjjVz73LUOBWzn/eY8gsKCKN1Yyv8u+x97/yPCu/5oPS/e9CLxufGc+aMzAUjITWDWNbPY9pdtdNZ3YrFYqD1YS1eT/GP2dfXxzBXPULapjLWPrCUxfziTMVdCIkKYdfUs1vx2DREJ/rqD+IIvkVes+wzP4eXUoAHXycA5iPfrxYgt1kfAh8BqfHvvRx8tXjWjhrK0UlHSLGux43CLtlTaQGGjbZl+T/Uev86RkWFroKAoaZYvybBgCzU1jhfl3/7WdvsnP3E8LtE8k8IOVTA0vNSBBQtEYO52CqqYzdI69rbb4Ngx993K/vEP+Otf4e67XZ+rshZtpw81lRObeO30K+XPXrxmWG+7sz9qZ7DI67rCdfzw/R9itjhXfMfR29tCQQH85jfum0+4o69Piv/mzVOPWJgx4wi1tZN9O4FbpiFG3x5auJ0CdNZ3cuytY8z9zNxh5UKqVIOWEt/yVKp2yYc874I85n5mLp11ndwXcR+lG0tZ/IXFDp2dTv/K6Sz72jIW3bHILwFmMBhYeMdCmo43UbbZcRa+4587+FPmn3j51pep2Fbh8FztwVoeyH2Azb/bzJwb5jDjcsdq06xlWXyr4lt8/cTXSZufxiu3vcL7P3if/17wX4LDgvncx58jPD58YP8zf3QmPa09PLTgIf6S/xf+Mfcf3J99P5v/sJmXbnqJwncKuejBi5j7mbk+/27jhwZ8E1AJaPHqC/WAc9rOWqTobR1SL3AeYp919mgOzC+0eNWMGjU1EB5uM+6PjZWf4UReu7sl5zI1FYqbiwEIDw7nsT2P0WvyvRJs1izxoLWnsUsuhAZzL11dEfzxj/Dmm/Dd78rzL78MP/4xfPCBza4LgPoZFJmUIh+e44DRKIVD9U76rqAA3n7bdl9FtRUmE/z5z3K7rg5eeMHxefWeZw9tBRewpQ0MXbx6srVSfo2eE5l7Tb1c9NRF/Grjr9hQssHp2Ti6umwC56c/9W1kRUXyeVq4UD3SRnJyHUVF87wcNRjqDT51q6CPv38cLFLRPhyiUqIICguiuaTZp/3Lt5YTHh9OYn4i0y6ZxmUPX8aiOxZx9VNXs+L/ArN0DjDr6llEJEXw0U8+Goi+tla08t533gPEtP+RZY+w/R/bqdhewSf3fcIjSx/B1Gfi+hev56on3RfERCZFEp8Tz+0bbmf65dPZ+OuNtJS2cP2L1xOX7dh5Ln1hOrOvm01bZRsRiRFc8vdLyFqWxXvfeY+CNwo4/3fn+10kNz7oQ9JufBGvGUAJMlnUeMZd5DUT2AX8FPgO0jIW4IpRHJd/6IItzaixf790LrIPvmRnD0+82kdzt5RvwWgw8qcL/sRX3voK64+v55Jpl/h0nuRkcUPo7haBDSJeI0MisVi66eqKYPZsuOgiWLNGop6rV4uw/MUv4K234HOfk+N6C86hJk1ZQA3fC8ydeFV5t+++C7//vat4/fRTqKiQCPH/+39w++1wzTW2914VWQ2nCGz4kVc1d3YWr41AL7bIrCtvFLwxcLuoqYizcs4auF9bm0CzNWoeEgLPPgv33Tf4yNQKwOSBQKuMq7HR9xa1TV1NbKvYxoX5F1ofUQJ9SN0cTgqK3i0iPD6cSUuG6pUrGIwG0hek++w4UHeojrT5aQM2T4s/v5jFn188rDG4IywmjDN/dCbrvrmOHf/YwayrZ/HURU9h7jNzT+E9dDV08fbX3uatr7w1cEzeBXlc8fgVxEzy5l0qhEaH8plXPsOeJ/aQPCPZY87wFY9dweofrpbf2WBg8RcWU7qxlKTpScRkDP464xOVw+qLeD0deBgp2hp/HaHGB21AGZLz6kwmcC8SPMi13p/tZr/xgY68akaNvXslX9Se7OzhpQ2oiGdqKuyt2cuclDncPP9mAHZWurY79ISyfbJvd1rdUU1KZApms4hXVTwVEgJnnSVR0ZUrRQDaNxJoO3gGPSbo6Y9EKuuHR3Kyq3jduFF8Vs89VyrjncWrGs+tt4q4bW+HTz6xPa8EZ8QwUtRUBN0/n9dyIAzHyKuzsFP3PX9hvVnwJgar72Nthy3sfeAA/O1vc8jPL+Sppzr53e8kourOw9eZCuvKbuZAuqP8YvX1vovXL7/5ZS566iIO1Kqq+OE1TZjodNZ3cvDZg+RdkDfkanx7pl02japdVbRX26xBupq6eP0Lr/Poykep2m37f2uraCM2O9bdaQLOsq8vI+/CPN79v3d5dOWj1B6o5aIHLiIxL5HMpZl8dv1nueq/V3Htc9fyrYpvccu6W3wSrgqD0cCi2xd5LXYLjQ4lfUH6QGqGMchIzlk5E1i4gi0NwBfxqv5xq0doLCcDZYg49WaKbgC+jKQSjF+0eNWMChaLCDDnHMusLN8jrwcOwEMP4VBFbi9ey1rKmBI/hdiwWE7LOI13it7xeXxKvDbZFaseazhGfmI+RmMXwcERbu28DAZxBFApBy0t0FGVhQEDLT0jJ14rKiA3F4KCpKirttYxArp5szyfkQFf+YoI7XV2jXu6ukSEh4QMfVwpKXJ8RcXg+9ooQEyvg/As7FQFWDieqOusY37afKJCohzE6//9H9TUpGE0WrjpphbOOUcef/31wUe2ZYtEk1UuthpXXZ3vAmhjqXglflysTPFPbfG665Fd9HX0sfpH7i2f/GXO9XPAAht/I+9zc0kz/z7z3+x+dDflW8p552vyP282mWmrbCMmc3SEm8FgYO2jawmNCaW5uJmrn76axV+wRXlDo0OZf/N85lw3xy/RqlHi1ZeiSbVSM3pd2CYeqoBwdCZ1I4kWr5pRobVVCmeSnK5B2dmSC9vjqUuoHatXw5e/7Fh5r8RrYkofRU1F5MTlADA3dS4Vrb6rKneR1+LmYtpLcwkN7SE/PxxPtSbTp8PRo3L72DHAHEJO+ALKW00ESrzWOZkW1Nfb2uEqRwIVfe3qkijrGVaHk8hIWL4c3nvPdnxn5/CiriCCeNIk9+LVYoE//lEmG460YPPMDUK+cJzzgpUVkucBNnQ1kByZTGpUKjUdtnzSHTtg+XJV6NXB/PkSod63b/DfZ9s2+YwNNFSzRoBrany70Hf3d1PXKX+o403K2+zUFa9F7xXxyS8+IffcXNLmDdOI2UryjGRO+/xpfPrAp9wXcR8P5j1IS1kL1z1/HWf/7GxKN5XSUdtB+ZZyTL0mMk7znHoSaGIzY/la4df4Zuk3mXfjcPKkNTb8ibyqWefw6gxObtR1aOJPoLR41YwKDWKZ6iJeVUvXN2wpjBQXw7XXOjYN6OqyCUv7QqX9+8WuqinkAO297ayavAqAtKg0qtur3drXuEM1TlAi0WKx0NTdxL4t8QDk5XkWUtOny7J0e7tVvAKLM07neFMngSjUSU6Wc3fb2VvW18vjAHPmyFY5EvzjH/J7qBxckFan9qkFnZ3D83hVxMW5Wox1dkpaxbe/LZMNRy/cdhwvnPOxmWErBo+81nfWkxyZTFp02kDktatL2g/HxKhfrBODQYrx/v53SVvxRGOjRPYXLbJ/VMLwVVW+pQ1sq9g2UCRY3aGWLiOsv0etp8NOOky9Jj657xOeuugpEvISuPKJKwN6/kv+dgmLv7iYlNkpzL5mNnduvpNZV89ixtoZYBEf1IZjcsHJPD3QhvneCYsNIzZr4ke1xg/+iNdkpPnJByM3nAmPug6leN1rIqDFq2ZU8CRer7lGIl0b7TrT/fnP8OKLjnZU9pGz73wHzjlHRNHBgzB3LlR0SKRrepL4SKZHp9Nj6qGlx7dCmelW+8nDVsvRzr5O+s39RFhECE2d6lm8KgF+9KikDxgMsCp/IQ1dPfSbhx9xUxFW9R6CRJyVeJ0/XyLHt9wiYv5f/4JVq+C882z7p6XJ8co2KlDiNTratTPZSy/BBjsDgEYH95o2HMVrOq4Cf/DIqxKvKZEp1HXIjENFgOPibJFXkOI6gJtv9vx7/PnP8nm6/nr7R8Xm7ODBHMzOblyINZvhZwbeLXoXYMD1YGbyTKraVMTdgBQ9HHQ9wUlIa0Urj5/5OB/+6EPyL8rnjk13BFzMBYUEcdlDl/GFnV/g2mevJWW2/IOkLUgjbnIcR187SvOJZgxGgxaSEx510fPVa3QV8C5ixK9xRRWYjO6kbiTQ4lUzKngSr8HBkpdpvyyuCrjsratUdb2yMfroI/j4Y1tHpO2V2zFgIC8xDxDxClDd7lvyfny82HYp/9Pm7mYAVHqaweDZEHW2tSDz1Vcl8pqdDefnn0VXH5gtHT69vjeUSFV5r7W1klubJ78qRiOcf77cvvJKOHLEdl+RliZL+ep9bmuzFVwNh6goV/F6wFqr9H//J1vHlIc2wP6F05BogH2E3Hvk1WQ20dTVRFJEEtGh0bT3ygDU5yYhwRZ5tR/HwYPw9NOu57NY4OGHpRWvY+S1gs7OZDo6ogba6drzwiHxH/vVhl8BsKF0A3NS5rA0cykH6w7aRf0zGG6zivGAxWJh21+3cX/2/az71jqH59qr29nzxB4eWfYIdQfruPbZa7nxjRsJixlyX12/MRgMTF87naJ3iyh8p5DUuakEhQaN2utrRoJGZALoa9HkV6zbt7zudepSgaQy6bQBjcYnPIlXkGKrErumOdu2yfa552D9evFR/drXpJDmmWdsLVOfe04qyadOlSXbZVnLiA2TSIu/4hVEwKrUBCVeZ2WrKGCOx+NmzhTXgRdfFPE6fTrkxOfQ1Q9BBh+SeQfBWbyeOCFbJV4BHntMlsdVG1n750DEK0h+MUhh2nBsshTuIq8dHXLuSy91HLfgnDaQgdhi2e+kKs/cR16bupuwYCE5Mpno0Gg6+kRZqshrYqJj5DUyUizFAP7wB9eWvkVF8r5cdpnzK7XQ1ydfmu4cFQ7WSTT1WOMx+kx9bCzdyJlTzmRuylxqO2pp61X5FAmcDG0rN/xqA2/f8zZdTV1svX8rR16VdI/yreX8OefPvPq5VwmLCeO2j25jzvVzhtWQYKgs+OwC+rv6qdxeSfqiYXTg0IwTqpBiLV+lyjwkdeC/do+VoJsXKCqw5QZPbLR41YwK3sTr2WdL2kB9PfT2SgRNVYmvWSPL33FxIlZnzJCl/auvluXx7m7pQV/SUkJuvM3bbyjiNSHB5jawfpuE8RbOCLU+G+/xOINBIp6HDonwnjYNokKjCDJEEWQ0M9zWoEq8qgimei/V4yDtbe1TL84+2/EcSrxWW9+OQIpX56hkR4dEZJ3HDT2IeLVfyp1l3dq3iD2KRFvc2DsgKQMAyZHJRIVE0dHrKF5TUx3FK8jn6MYbJS84JcVRjKr3bdUq51dqwWTyLF5PNMksorKtktBfhtLR18H5U88nJSrFYZwng3gt/7Scj3/2MbOumcW3q79NwtQEXr7lZTb/YTMv3PACUalRfO6Tz/GVQ19h0uLh+bkOh8zTMznt86cBMPV8d16WpxJbgT8SCK/psWMbsGTQvWwYgGsRw/0DwJeQwEMS7ttQn2qUczKkDIAWr5pRoqFBRJ47wbTM2viltFTSACwW+Oxn4cMPbfs8/DCssGuKc8MNttvLV/WITVacTeykRYlaG6p4ff5jiapdfZ5S294TRG+5xXZ72jTZRgSrY7tc9vcH58ir2qY45dwnJopQ3LvX3u5JcI68NjbaitSGg6fIa3S0bXy2yKvK+5xjt7c78boXyMcxvcCGg3gNjaKjrwOLxcKJEzLJiYpyTBtQhFlXsFtaHNvpbtwof3sV0bfRgtnsXryazCYO1x/m5nk3MyNJkp7To9O5auZVpETKL65ycUW8tmDrWjOx6Ovs45m1zxCTEcOFf7qQ0OhQrn/xeqLTo3nvO+/RWt7KFY9fwZTVU8Yk2urMpX+/lC/u/iLzb5k/1kMZQzYBK4BvY+vyNhEpB/IG3csR5U96A/BPu8dnAycCMagJSj/Spnoifx5s6A5bmlGhvl6W5YPcpKAp/9Q9e2zdjXJzpWK9vx8KC21FUYprr4Xvfx8WLIA6wz76zH2cnnn6wPMJEQkEG4Opafe92j8hQQqeAIqq6zBMDWZGrvoyjvJ4HDj616oc2KjQFKTbSyfDyTFKTBTh7yxe7SOviuRk94+r8QU6bSAmRoSdxWLr3tXeLpFXFWW3RV5Vp4DJdmfIRCyz7PJGqMdbdKChU0LPSZGS82q2mOns62TDhiiWLwfb38oxJPylL0m3ra4uiZArN4aNG8VWzOgylW/BYMgHXB0VChsLaexq5Pyp5/P4FY+zq2oXizIWYTAYSI6UP4Bj5NWCo03YxOH9H75PR20Ht310G3GTRcynL0znqwVfpe5gHSFRISTkjp/fyxhsJH3hqZ4yUDTWAwgA7ciKhb+RQiV2DyF58+8iIvYpxN2kiVNT+uxACuAuGOuBBAQdedWMCg0N7lMGQIqwMjPFh1TZOSnv0qAgV+EKIjR+9SuJwCqrpMwY20XOaDCSEZ1BaWupz2M84wwRysePQ01bPZGGZAwGFb3zHnk1GODXv5YOYmvWyGMWi/qFh2eXFRQkAtZevAYHS4GZr0RHS+6n8tTt6gqMeE1Pl/PZN3dQaQMhITB5cjPnnfdFxFVAtSGzDwsHIRER+0qqdjxFXcEx8poVK+cqay2jpETyfm1/K8fI67JlMrZzzoHt2+Wxo0flxzVlwIRMPEQEOUdelY/rtMRphASFsCxrGaFBkmKi0gaU56tNsE681IH26nY+feBTFty2gJyzchyeMxgMpM5NHVfCVaNQufrLkaLIiYgy9J7ldS9X4oBpSHrSAWA1kgN7AXJtcbbmO1WwJv5z2piOIlBo8aoZFRoa3EcEQYTokiVSjPWLX4gwy/Rjst3QZYvE2bMoYxF7qvf4fJ55Vl/x++4DS3gDSRHJiAAyIC1NvfO974koUhG87n71pVHi8Rhfse+ypTxe/V2hTUsT8aqEZiDEq/o72TcqUOIV4Atf+DdnnPEwIuDvQ4Sls3H85ch7pMStd/F6qO4Q4cHhpEenkxOfA0BhfSnt7WqCFI78zVwtAgwGyZHeu1cmKg8+KI9f4BKMqEYMvRcAruJ1f62E6PMT8wce66zv5PBLh4mzSHTSMfIKIyFeLRYL+5/ez7r/W8eOf+7w2dfYV46+fhQssOTL/uQdasYeJV7PQf73JmLBkvJHHEr6RwGy0mGfcnC/dfvyEM73DeSa8t9B9huvWICfWm/njOE4AocWr5pR4ehRW0qAO+67T7alpSKygv1Y1RlYRo5wFK9ZMVl+5byqXNXHHgPiSshPT0cEUCRy4fIPg7WlYZ/JvU3S/Vvu53vrv+fTuey7bNk3KPCHSZPk/VXiNRA5r3FWBxv7ZfXWVkknAMjLK6arKwo40/rstbhedr5o3W6ybr2L12ONx5ieNJ3QoNABd4nqBkm8lffFgKQOuLcpW7pUHAeunHaQY39/l29GPMSB//ckpl4T4nwAqo1iWJj7nNftldvJT8wnLVomKBaLhX+f/W+eu+Y5XrzgRcIJt8t5jbduAyte6w7V8WDeg7x080ts/dNW3vzSm2z989bBD/SDIy8fISEvYdTN/jXDRYlXFWXbMVYDGQb7kf/jnACdbzaSB/z2YDs60QU8YL19K56uK+Mb1XXsy8AweoKPI7R41Yw4nZ1SiKU8Wt0xZ47kIQYFSfTVH040nyA0KJS48Ajge6iWrClRKTR2NdJv9q3aPzcXHngACO6G9L0sz1qKRF6957t6IixY1GF3f4PLc2aLmW+9+y1+u+m3Ayb33nCOvHpKwfDGokWwa5etaUAgIq+q0UGXXU1aVZV49wJMnlxEZWUu8DjwWeDHbs4yGVnqK7beb8WbeFWtYQGiQ2W/Q4UiXlWzCZlwdLoeDFx4ISTSwHW8wBlsIa6rhuPvHefgc88g9lxPIQIawsPl/M7itbajlkkxtqr60g2l1B2sY9KSSVTtrOL0wtNHNPJa9G4Rjyx/hK6GLtb8YQ0/7v8xU86awvvff5/6o/WDn8AH2irbOL7+OHkX5GEwjn0hlsYflHg9H0nNeX8MxzJU9iHWV4GUKacBW5CiUF/51LpVXU52BnA8o8Wb1u13x3QUgUSLV82I42uk7/TTJYJ3++3+nX9X1S6WZy3HaPgA+C3weYAB94H9Nft9PtfXvgZPvXsIjCYWZSxCzOWHFqJMj5Ylq4Yu17xbW1QOntj7xKDncpc24C+5ubKkr9rIDuUczkRYrVg7rTqxvV3+hkq8Tp++h8OHFwBTgScQFwF3pCGTjiZEOHr2ImzobBiIsivxevBYOyEh4rcreI68RkdDglVIHmQ2k372BaIzojnyyseII8DzKPEaHBxNRISreK1qqyIj2pb+sPOfOwmJCuGzH3yWhLwEFm5eOKycV4vFwtHXj3LohUMOj5v6TGz981aevvRp4ibH8eUDX2bl/63EGGTkqievIjQqlKcuforW8uF3dtv8x82Y+8ws/erSYZ9LM9p0IxG2eCRve6I1ybAgkdd5AT6vamJwGY6NUbyhVu9us24PBHREo8M7SO5wzhiPI3Bo8aoZcfzJsVRiyB+au5utkbhXrY+8CbRw6XRxyV9/fL1f5+tNkFyreanzgONArtf9PTEtaSEALd2VLs+VtEgebGJEIm8WvInJbPJ6rkmTJF+1u9t7/vBg5wDpMpWU5D0S7ivq76UiryqqK5HhfpKTyzl0yJNgtWcO8mVVbL2f43HPhi5X8drQ1k56urQaFjxHXuExVs7cBUDpzAu45qsZzLgii8J3UujrCkbSF5T/VzSxsY7itbGrkeLm4oFisUMvHmL/0/tZ8uUlhMWEsfSepSQdT6J5b7P1CP/F63vffY9n1j7D89c9T0etiPC+zj4eWfYI6765juRZydz67q3EZds6D8Vlx3HjGzfSWd/J42c+TtXuKk+nH5S6Q3XsfWIvueflDrRf1UwkerDl6Scy8XJeS5HK+EDbnc0GvopYcO328Ri1cjYfmQz4HgwZPxwDFg2610RCi1fNiKO6VgVimdodLT0txIXFIUn6iu2kRKYQFhRmFwHzjX01+wgPDrcW4zQAqUMaV1JEGj390GducXnuaL303v7Kkq/Q0tPCtoptXs81fz6YTNIIYajiVRVXbdkCc+e6ty3zF+e0gRbrryq5sBIqLi5Odelq5UoO0v1FOTM4F3UJZouZxq7GgeK8iOAIDBho7mob8LIVPEVeDwB3cu2q/2KMiWTLoVgSE2HWVcX0dYRy4v3PWcet/mau4nVH5Q76zH1cMu0Setp6ePuet0mdm8pZPzkLgEW3L4IIiFsfR2NXIyKkQ/BVvNbsr2HLH7YQY+1NXLaljIptFTx18VNU767myv9cyRd3f3HgeXuyV2Rz63u30tfRx6PLH6Vmv39OFx/+5EOeu+Y5nrvmOQxGAxf+6UK/jteMF7qxtVeOReVwTxxesW7PHYFz/9C6/cDH/euQPPpkYC4TM/Jaw8R1nXCPFq+aESeQ1e3uaO5uJj48HjGgVjP15gHPTVXQ5elY5wrtHZU7mJs6lyBjEHLRH5pHa3x4PB19YLa4LuEeqT9CkCGIry79KgCbyja57GOPKnbbtk1EbNoQrkMrV9pcAOwbPgwH57QBR/Eqwqm2NtUhJ9Y9KYjYVCbi7n/Blu4WzBbzQOTVYDAQHRpNY3ubU2OGCNw3h3gdgI6aJFKmxgyY6uecXUFYbA+7Hsmx7qeWCmNcxOvhOmmoMDN2Juu/t572qnYu/9flhMVIpCssNoyolVHM3zef8pJy5IvP9y5bu/61i6DQIG778DbC48N59qpneWTZI5RsKOHyf13OglsXYAzyfOnOWpbFl/Z9ibDYMNZ9c53PDgQNBQ188otPOPzSYeqP1LPm92tIm39yfeGdOtiL1xgkj3wisRUJGswegXOnA9OBj33cvxbp0BWEWHAdw/eUg/FAO7IKdXJ5H2vxqhlxlHiNjw/8uU1mE+297WTGGBG7pbOszzQDkB2Xze5q98tD9Z31JPw2gR9/+GOHxzaUbuC83POQC1Qbju1MfSfIGERnnwGzxTXqcbThKHmJeaRFp5EcmcyxhmNuzmBDNRl41ZoZMRTxGRQEN90kt08LkNWfc9qAo3iVfM2Cguk+iFcV3VZLcu5FkztbtKzYLJrMpcyxb9xFGLJ06kyhjLchmshkm3dvUOhuln6tnKOv9lO6cTK26txUV/Faf5g0YxovrXyJHX/fwfxb55O13DFHd8pXpxDaF8quP+yyPuKbeO1q7GLff/cx88qZJE1P4ot7vsjK76xk0Z2L+EbxNzjtLt/+cNFp0Sz/5nJOvH+C2v21g+6/6feb+OuMv2IMMXLF41dw17a7WHjbQp9eSzMe6cImXtOwNQiZCHQArwFXjuBrnIG0nvWFWmRyDbAMmZRPpE5dqjjN305l4xstXjUjzkhGXlVKwKxkJRAvtW6bAViVvYpDdYfcRp/eLJAKzPs23DewjP9e0XsAXD79cuQLwMRwumO19oQSbHQVLUfqjzAzWfqRzk2dy/bK7V7PoyKt77wj27whXod+9zuxJbv88qEd74z3tIH9mM3BHDkyk+5ud0fboyr3X0KKtdy7DbizRZscMxXiTzh9vryL17aqUKJS7F0kjrHq/4UTFmtk21+XIkbmaUDogHjtbJDw8uG6w5xz5BwaChqYsXYGF/zRtWNN1uIsjucep/YTJRx9E68nPjhBd1M3p98t3eLip8Sz5rdrWPvI2oHuVr6y8HMLMRgN7Hpkl9f9+jr7+PDH0ov5hpduYOHnFmprrAlPPaD+R6Yj4tVTDvh443VkrDeO4GvkIqLUl9bdddgm1yoSXDgSgxohjlq3i8d0FIFGi1fNiKNyXuP8++71iZJmKXyam3YcWSpehSyPiBjMiMmgx9RDS49r3ulrBa8N3J75t5nsrtrNTz/6KRnRGazIXoEtT2zo4rWzL4moEEfRYjKbONZ4jBlJ0jrszMlnsrt6Nz397sSWEBYGZ1qtUvPzhz4RiI+HH/zAvrBpeISEiCdvu7W+SYlXibLvpbV1Bn19oT5EXlcgl6MaJLrhHneR16igeAhrHRDSQiiexGtveyjNxTEkz7b3G2sjNDqWWdcmcOiF2Zh6j6LaUsbGWJh+4l1+n/x7/nnaPznjK2cw8+mZTDlrCje8coOTCBbyEvM4kXuCrmNddDd346t4bSySwppAtDeNmRRD/kX5FL3rvVXo8fePY+oxcfM7NzP9sule99VMFGqxCa5463ai5L3+D5nMrh7B11DFS75EX+3fy6nW7VEP+45HVM3HyVV4qcWrZsRpahLTen8aD/iKag2bFFGJCFdliC+m3GlRErJ0blbQ1dfFusJ1fP60z/PElWJV9dW3v8qxxmNckHcBRoMRW57Y0NIGAMyWOKJCHauV1h9fT6+pdyDyOjlustsxOnPGGbL9/OeHPJwRYdIkKC+X27aJShfwLk1N8gU0uHiNB6ZYby/3uJe7yGu4MRbCWgfyeYUwbA0HFNVAJc0l08FiIGmaUvD9SKQnlimrk7CYjLSU9qLsujIOvMec1i2ExYbR1dZFaVYpIVeEcM3/rhnImXUmNSqVrhnyS5dvLcdX8Vq1s4rojGjCYgfv6OYLk8+cTMPRhgHHAncUf1hMcEQwuecOzVVDMx5pxGbxp/4x2j3sO57oRWydrkVyTEeKBdatL61i7dMGJiFR268x3Lbfo0ctEtgZml/5eEWLV82I09Q0csVabb3WTkjB1dgsraYjlkuNpEdLBKum3fFC8/yh5+no6+CmeTfx2QWf5YK8C9hcthmAH6z+gXUv5c/q2XN0MIxEEx5soddkE1IvHHqB6NBorpl1DcCA4b6KKnri29+GH/4Q7rpryMMZESZPliYUIJHXkBAIDy8C+mltlXDx4GkDAAutW8+tSN1FXsOJdRN5DcNm1K7YI2NploTh8AQlPG0R9sR8+VtXbJ8ETGbPE3uI3LOFXcbF/L/m/8fi9Yt56panWPT7RcRkeI/Im6absBgtlG4qxRfx2lreSsHrBcy8cqbX/fxhypkyIZAxuKepqInE/ESCQkZSLGhGl25EsIAtBWcidIYqQwTswhF+nUwkJ9h7So1MbBuxRV4NwC3W278bmaENm58Aj9rdL+FkcxoALV41o8CIiteeNibFQLCxEVBf+uchZvNbBsSrc1Tz4+KPSYxI5KwpUuB1RvYZA8/Z+tVbFdlARNB/goNiiAjGapkkHG04yoK0BcSFSx6FirwWNnrPo0pMhF/+MjBtXQNJQoItXaClRdJDDAZZVuvvl9SIwSOvAA8C9yIRdPeUtZQRHhxudZcQQiyxENxLSLh9mkAMrsukzQD0tMiFPDxOeeuq/WLJWrGS6Iw23vrKpRx+aSEbf70RQ+Yk3jBfTG+vgQO1YpMzO2XwKujouGjas9sp36wir83I59I9ux/fTX93Pyu+FSArCBC3AIOK/rrS39NP6aZS7eV60mHv86oibhNBvKpCqJwRfh0j0n1s3SD7qUI3e7vEnwLnIM1MzIwv54EW4BeAfYTjU2Cl+90nMFq8akac5uaRE6/tve3kD4g51Y1FVTNV2CKvHY6R13VF6zgn55yBZd+1M9YCcHbO2daUAbB5fcYPeXwRwYlEhsD+Gml8YDKb2F29m0XpNsNolT4wmHgdr8TE2KrxlXhVOWFms+RQehKvnZ1i/SVkIV8MnvNLDtYdZE7KHLu/EYSYJAJqCbPPa05E0j7sWwPLILtb5MMYNiBeVXpIDMagIE7/Si3dzRE8d005DUcbiFy9CDNB1Df18udP/8zkuMlkx2V7HKMiPjyeutw6yreW090Sj3zJubcsslgs7H5kNznn5JCYH7jZSWhUKJNXTaZ0g/vIa+nGUroauph3U6A7GWnGlm5cxetESBv4CPn/XzDIfoFgKRKV9FbIpgpp7VeDghBxWGa9HYWtQc5YU+B034KkDQx+vZpoaPGqGXGamkbGJgskbSB+oPhIfemnIx/tChIiEgg2BjtEXhs6G6hoq2Bltm02ujB9IYX3FPL01U/bnd0maobKlLiZBBlhb43k4Ja2lNLe286CdNvFOSIkgrCgMJq6fO/ANJ6IjZWWsOAsXjMJC5MlS3dpA2az+M5+9au+v1Z9Zz2pUY5NI5IM0wCo6N9n/6h122z3mIjbnhb5e4bHK2GropLSGOHMH/2NL+6eS/5F+UxaMonks8SD6+VDr1HQUMBVM69yEM+eiAuP49jsY/R19lG2WS3dus9rrt5TTUtpC3NvnDvoef0ldV4qtQdqMfW6dnErfKeQoNAgne96UmFBlt7VhXEiRV4LkPSv0VheUit1zoLPnmLr1tne5Qq7212IS8p4wN679gByvbHl759MaPGqGXHq60duqbu9t530qFDrvXjrNgQRsOUYDUbSotIccl7V0u+0xGkO58pLzCMjxr6zUxuSNxYy5PGFh0iUr65DIl/Hm47LayU4XgwTIhJo7m4e8uuMJTEx7sTrfmAGsdZaN1XIZU9FhWwfesj312rqbiIxwvHDlNgvgq/BfNzuUVVkZx/pbASCaasKxWA0E5Go8pBLrFsl4GJIX3gNN799M5/f/nkSMiR3cFfVTgB+c/5vfBprfFg8xUnFANQdVFYbrn6+FouFTx/4FGOwkVlXz/Lp3P6QtyaP3rZeij8qdnndgtcKmLx6MqHRoe4P1kxA1OdaRV7VZ288TI5NSNTS+X/oe0jK0DGG2o7bf5R49Va09TbiMOD8BRaFdF98E7gIeANvKUGjx9t2t/dgc0WYMfpDGWG0eNWMKG1tUF0N06YNvu9QqOmoYVKMqtSJt3smCxVRS49Op7LdZtL93vH3CDIEsXrKYFYsLQwn6iqI8Clulq5Mu6qkQGBakuMbkhCeQFP3ePhy8Z+YGIms9vWJeP3yl3+E9A0/j1RrkLTWjU/+zp3+v1ZjVyMJ4Y45KC2V8iK9ofZRTSXG7J0ejgM5NBzpJT63meAwFQ5W6QbuZ1hKgG+ofoeV2SsJD/bNZywuPI6a4BqSZyVT8Eaz9VHXorw9j+9h7xN7Wf7N5UQmRbo8P1wmr5ac6sodjkb1DUcbaChoYPZ1I9HFSDN2qM+1+pxOQSbg3iKMo8UTSDHR9xGR3QbcDPwW+BkiuE4fpbFMQyTQYQ/PS90EeDLFTgQuAT6DTIw/CfQAh0AVcBnijvASWrxqNEOkuFi2QzXVH4yChgLyk+Kt9+yNZG3idW7qXLZXbB9oVFDSUkJ2XLZD0Y97qhh+Sz0Rr7urN9Nv7mdb5TbyE/PJinVcxkmISBjUbWC8ovx7v/hFmDRpHdddd5/1mSuJjIToaPfi9eBB2+02HywoW7pbaO5udsk3rasOxdCVRENPld2jKlpub5d1Asils95EdFo7NtHahlQRR+CO2FggqpbC9j2snb528IFaiQuLw2wxk31eNhWf1tPdEoa7vMPDLx4mPiee8397vs/n9ofIpEjSF6Vz+EXHL+mKbRL6nrxq8oi8rmasUIWLKvIajFg8OXfZehlbR7vR4lm72x8iUc2ncSwoCvzqg3vCkVQhd/ngLwDPIfmwi9w8b8+VyPXm9UAObojUAJORfN4TwHrEbUKnDWg0fqGWhjNHqGFPfWc981O7gfk4+gJmIOJTxGtDVwOtPbKEXNxcPFDh751yhv9PL7mO4cH9HG86zqG6Qy7pCiBpBIO1iB2vqLasjz8Od931iPXRN1HdaGJjbU0M7Km2C5Ru995gDIBjjfL+OL9/nZ0Q3DaVw/X24sxd5LUayKS7GcITurFFotqRv5N7z9bYWCBdWgwvzVw6+ECtqMlRxsUZ9HebKHh9Bs7itbulm2NvH2PmVTM9esYGgrwL86jZV2NtmCBUbK8gJCqE5JnJI/a6mrFA/Y3tvYKTsZnVK65GrpujRTcSnbwTEY6/QjqBzQA2YbNzGs3iohnAPqfHPgSuQzp8Gay3vRGHNFl5AcfrzWhTjkSApyMC9gjwInA7J6PUO/l+I8244rBVT0weoeBOc3czsWFmVDckGzEooZAZI89VtFXQ0NnAtoptLM7wpVVeJba2pUMlB4DcBPjVhl9xqO4QyzJdO0jNTplNRVvFgMAeDv/b/z9ufPHGUcuhXWz3Vp5zzjFk2eqSgcfCw90XbJWX21woDh0a/HVU0Z1z1Lq7G8Ja5w6IW8Fd5LUeSKa7uZfweAM2k/F2vKWHxMYCGZLusShjsCiMDWWFFrYwjOCIYEo3TsFZvJZuLAUL5F0wsn3HZ1w+A3O/mYI3bUvHFVsrmLR4EsYg/TVwcqEir/bpLSk4itexsHcqQwTsmcBV2JbZVaX+n4EL8ebzHHhm4Bp5tXcOmAL4ksrzRet5nIXwaKIKT6ch73E38nc++WyyQItXzQjz2mswbx5kjcCqhcViobm7mYhgM64XmChkFtw7sMx8oukEv9n4G3pNvdw6/1YfXqGF4dhkCfKLT4qBJ/Y+QWJEIt9c8U2XvVQkuKK1Ylivtqd6Dze9dBPPHHiGv23727DO5Svx8bB0KVx0kZnk5CKcCy7ciVezGTZtgpXW66ovaQPKK9e5YKu7G8JMSU5uDSryqsSrGakKjqK7uZvweAs2f9c2bEbursTGApN2kGTI8yHVxIbat62/jTnXzWHnPxfz1MXQ22ET1EdfPUpYbBhTzhq6l7AvZC7NJCwujJ3/lETjukN1VO6oZNplI5SMrhlDnNMGwLY8rkSr/STZJxPmAKCubZnA3dbbEUikECR39B18E4uBIh5xJLEX8/bpFaf5eJ7VyMrfa4PtOIKoiXEMjl7ZF4zBWEYeLV41I8qxY7BkhCbS7b3tmC1mwoJNuLa+s9nDLEpfhNFgZHvldj4o/oDzcs/zGkEr+aSEV29/mb/OuIv9//MsanxDxhFpDQT+5eK/EBvm2m5WRRNLWkpcnvOHvdV7Acm3fPHwi8M6lz9s3gxvvnkcuYA6ejSGh7v6vDY1QV0drFkjbYNbfQg4exKvXV0QZk6kq7+Lz7zwGd4oeANb5FUt44l6NvWG093cTUSSBdvF3rt4DQuzQNanpPT5V0gSFyaR1+buZs7/3fmcfvdBit4N5rEzHqOrqYuO2g4OPnuQKWdNISRi6I4WvmAMNrL0nqWUbiilq6mLvU/K52T2tbpY6+TDXVvrBYjfp1ptsM8PH61ce1WhmQWcgVg5FeEpXWd0SEC8oO1txCoQz/ArcHVF8EQ2khv78WA7jiC2ToEyQViFpIaMs642AWIEus1rNDZGsrtWZZvMkMOC+zi+PoG3v/Y3Vn1vFQs+uwBb/lQlUaFzSI5MpqqtiqLGIm6Zf4vDefq6+jj66lF6O3ppOt7Exl9tBAOERMby3rcNzLtxOKOUKMLtC6+npz+FG+e6P5kS2FvLt3JR/kVDfrX1J9aTGpXKDXNu4JFdj9Bn6iMkyBdh1A8cQi7a/n+ZBAWBVPODLZIiRES4Rl7rrCuYKSmOPrHeqGmvIcQYMrAcr+jogMhYuUA/e/BZ9tfu57Lpj1mfVVFOUc+NheFYzD0kTTdhE6/VOHbQceSVoy9DbAXhJWsGH6QdKvLa0tNCdFo0l/z1CCmzY3jrbgOf/OIT2ira6O3o5ayfnOXXeYfKzCtnsuGXG/jzlD/T29bLzKtmEp8TPyqvrRlNVDc/e9GiOqi1IEWo9tHFJkauoKcJ+d8LRxoQ5GK7PswZodf0h3jrthmZwPYCe4HPAn/381znIy1jVQ79aKOuZyp/f8MYjGH00JFXzYjR2yvFNCMlXjeWbgSgflcyT65JoP5wPa/c9go9rT1IFSuodoNpUWkcaThCS08LufG2Ze3ij4u5P+t+XrzxRV6/63U2/moj82+Zz3dqb+Tsez+irdJCc3HzMEYZBIQxNzWXv17yV49FOTFhMaREpgw7baC4uZhZybM4a8pZdPV3DVhzCd5Myj+LRGfOw7bs6C8qquPYR9td2oC9eLXv0OUN5RLh3CCgsRGSQm2uED39PbgWbIk67qiTx6PTjdgiFSV4awG8qXQTRnM4IQdvG3yQdiiRbcs9zuP0r2xh/q3z2Xr/Vg4+d5DVP1jNpCXDzav2jUmLJ7H2sbXknpPLaZ8/jav/e/WIFolpxgqVPmN/4VUrUaqblH3HwaOMHKuRKGAS4oU6m7GNtDqj3iOVD1yEXCeH0qJ5FpKe5L4RychjL15PfrR41YwYjdYAwEg1KDjedJwgg4Edf1+IMdjCpf+4FIAd/9yBc4el1KhUNpdtBmBqggjb6j3VPHvVs0QmR3Lre7dyx+Y7uGXdLVz5xJVEJvcx/fKjGIJg+999KIX3SiS+dLdJj053aWPrL+Wt5WTFZjE7RZaDi5qKrM/8FLmoPePmqHqkUhak0naov6+6aDvai7lLG6ix/ppKvPoSeS1uLiYnPsfl8YYGmB5y3sD9XlMvrgVbUszQ1yEfxtBoe9uqVhy/6B3ZXb2bmJ4ZtLcFedzHHYkRiQQZggZWCCTvsI7LHrqMs39+Nku+soTVPxzMaziwLLp9EZ959TNc/vDlhESObKqCZqxQ/0z2aQMqj7TDaQsSER0J+gA7PzwygZ+P0GsNlYXW7Q7rdr1163thpg21euPGF3BU0OJVowkITdYAwEiJ186+TlIjoyhal8fsa4NZ8qUlZCzOoPDtQpw7LC1IW0C/WdqBxp2I46lLnuLhJQ9jDDZy8zs3M/X8qWSvyCbvgjwMRgPQSPKMBqaeH8fR14YbmYjCF/GaFp3m0MbWX2raayhpLmFm8swBkWeLvP7Vuv0TrpXGbyFfNMqDcai/73HkfXes3HcXeS2yaurcXN/TBkpaSpgS5xohbWyEtIRo/nvVf5mRNIOq9ipMZiU0lXiViuLedqt4jYpD8v76kd/dvcerxWJhQ+kGMvvO8WmM9oQGhTI1YSoFDarCPw5oISQymLN+fBaX/u1SgsN05pYm0KjPvP3kxLlFrIrALmbkxOsW6/Y55JpTju8FUKPFVOR9UpN8ZfE3lDbNasXJlwCEBXFf6B9sRz9oQlb6RrPgbezQ4lUzYox05LWjr4M5TZNpr44h78J4ADIWZ1C1s4q+TiVGRLwujFtIcF8wyXXJbLl2CyUfl7D4C4v54u4vkpDrLuomtktZK6bQUNBAX9dw/PsisX1ZeGa4kdcTzSewYGFR+iIiQiI4I/sM3j/xPpLn1ogIy+3AL5yOPIZcCtYiFcre2iV6Yy/y5eS4LOhOvJaUyOciLs63tIGuvi4q2ypdIq+dnXLupCS4ef7NfH3Z1+k391PfqRoQqL+bVbx2yKQmNHoOEqE6YH3evXht7m6m39xPUtAUv8UrSMTf1nwi3jqe0aru1pyaqM+8fctfJWjUdUh9Bi9AoqObRmAchdbtaHXMGgpGxBN1O/Jd8Qlw7hDPNRW59h0cbEeky9hk4PdDfC13lCPR7VND1p0av6VmTFDidaRyXtt628itFg/X3PNkO/2y6fS09lCxvQGpR2yldFMpJeeW8KWHvsRtT9xGaHQoX9r3JS79+6XEZrpW/guSe5oyeypYoGpnlYf9fCEWWxGFZ9KiJPKqOoH5i8qtTIiQN3xh+kJONJ3A5j34R+v2EaTHuKIAKaQIRy5+Q/1dK5ALsiMRESIyHcbabPtc+BJ5/eDEBwCcluEYuXGeICnXhsq2euseKgrVCgTR1yGXvJAoVaCiisyc3SqE+k45T0JYMm1t4O+fJj483i7nNd66bXG/s0YTEJR49RZ5VeL1K9bt0yMwDvU/ON6bYFyIpEutR96XC4d4njjEdWCwZjNmxNMW4J8ErrFBNZKadGqgxatmxBjptIHKtkpSj2cTHt9FbJbkWabNl6Wb+iMNQCym3lZevuVlTF0mkhuSiemP4dpnryUxb7BB1QJxTD1fKmNLN7prIegrs/BlNp4enU6vqZeWnqGJmwHxGi6qcFriNFp6WmjsfN+6xyVIzmsZspSnKMBWARyHyhP2DzOemjpMmiQ5rr12/QJaWmxtZX2JvB5vEpHp3OChwRrUTLKmOCu/3NIWJcDtrbIi6G2XQYRGq7+/ykd1v9SmxGtieBJms2vu7mAkRCTY+c8ql4QmT7trNAHAnXh1znltR1YbspBWooUEngZkJcf9xHD8cCeyjH+/9X7+MM6VzuAFW+8i3wdXIMWibw/j9ezpwFuzlZMNLV41I8ZIR14rmioI2TaJmVcfxmCQC2RcdhwxmTEUvFYApLDvv900Fzdz3QvX8aOeH/GDxh+Qe06u9xMDEn3MICIhgvCEcFrKhhMty8AXL8W0KBHeNe1DSx1Q4lVZNF0yTbpcNXa9hojKDKTVYRaOXWSqsLVkjGdokcHdSP7WdJdncnIkYllebnuspUWaG4Bvkdfy1nJCg0JJjnSM4jhHXvMSpVNVQYMSperEYtfT09aDwWggOFx9KJW7g3vxWtxcDNgiuk1+6s74MPvIqxL25R721mgCQR+S+2ifvpNsva+EVQu2yZRqYBBo6u1edzxzGiKwNyLXganed/eKL+L1JeS9V620fWgv6BMdnCr5rqDFq2YEaWwEg8EWYQs0s96YBZ3BTL/0GKoVosFoYPZ1szn+/nFay+ex+9EIkmcmM+vqWQSFBvlhBi/iFSBuchytpcNp2xqL2E/1et0rPVqix0Mt2lIRPiVe8xPzmZOSQ37SbmAN8iViBGaiLMQk4tCErdpeior8R+XJLnd5Rv397QVqc7Nj5LW9XbpueaKwqZApcVNcrJ2cI6/RodGkRaVxtKEM+UJSEwGJvLaUtBCbHYvBoNwoPrVundsLC0cbpHjttCkiysv91J1p0Wk0dzfT0t2CahUs0RaNZqTowzHqChIBnQQUW++3YhOvC5EizUDnYivxOhFQE8v5OOYK+0sespLlbTZ+HLkGJyNBg+G62Sg6Gf9R7sChxatmxCgqgtRUZWAfWCwWC3O2zCH6rEZmXnUY+4KbpXcvxdRr4r3vTqVsczLT104fgp9lJfbitaV0OJFXtZTjPbyYFm2NvA6xaKu4uZjkyGQiQuS9MBgM/OSsHAAslvPs9lQXWDNywevFZmgez9DSBtSYXXOuoq3OLe3ttscaGmwR+ZgYicx2eDFk2Fezj4XpC10eL7UGjCbZZSukR6dT21GLGLMr25oWIJrW8lbiJschXxwzkVw3kB7nrjR0NhAfHk9OtrTarKx0u5tHlkxaggUL+2r2YRMLw5kIaTSD4U68gvxvq8+efeQ1C5nE1rs5ZjjUY7MsHO8om6vhuiGsQibKntIwzEiRqEpNOBNb57HhoiOvGk1A2LYNVo+QjWVjYSMRXREkntOM6NLwgecS8xPJPTeXA/+LJCi0nyVf9Lc/rQXnyOvwxKujbZcnhht5LW0tdbGSmmkNfFS0nW336GpEoO7AtRvPUCOvZcgEwjXMHmUNBihxWlsL1dUw1+pGE2t9ezylDlgsFipaK8iOzXZ57sABSEuDZLsAT0pUCnWddcj7rhRzBZBFb3svYTGq5/tn7M7k/ku2sbuRxIhEYqzzD3sB7gsq3aCqvQpXo3iNZiTwJF4jsUVXW7Bdl9Q/T6DFawMTJ/L6fcR54f8N8zzqGuUpDeMwMtE/23o/w3p/aEW6jujIq0YzbMxmiYpNHU76kBcOvCQWR2nnKEHoaHW0+AuLwQCrf7iBhKn+zkbrkGV+ER6x2bF0N3fT0zbUzlO+iVdlaj/UnNfWnlaX1qlTE0rZUAJH6u29Wy9GlhEfQUQn2DwK46zjtHcj8IVjwDTc5bcp8aqEn2pQkG29zith6Kloq6q9iq7+roF8VntOnIA8p4enJU5jf81+zJZwbF/WNUAGfR19hESpL/YfA78G7nU7boDGrkaSIpJcBLivZETLBKiqrQpxvwjFF89fjWbo2DfpsCcC28TJPvI6UuJ1IqUNXAqsw51bin/kWLfuvLItgGpNrqI6aUikdgg+fC7oyKtGM2zKyqS6fPJwrwUeqNhRQVN8E4m5Ko803OH5OdfP4UfdUznrJx9js4pyx6fW559GlnQA9lu38wApAgNoLR/qcm+8devdLstoMA6rUUFbTxuxYfbWX31EhRTzUQkcrjts93gicDXSVUtVus53Gqu/F9MSPBU6qLQBJfxarIFdlfM6WOS1sFGW4PITXauAKysh0ylddWH6Qjr6Oug1BWETr1a3gY5eQqNUTpsR+B7Sfcw9dR11JEYkDlm8JkYkEhsWa00bAF+7rWk0Q8db5FWJV/ucVzVx9TMnxism5Ho3UdIGAkUKMAdbpy57jgF7gB9iS1NytuxrYGhpRX3WHx151ZxCvPIKfPaz/ntYeuN9qzvTWWcF7pz21OyqoSqjivAQkIiWa6eioNCLrbc+8nCWg0iB0QLgZuAd6+PKuF7Ea0SSRHW7m5yc9n1GLeUXOz3eg3O0Iy0qbcg5r609rcSEqvzajcDLGAxmatsj+KT0E6e9f4QUav0SiTqqXFX1heZv6oB90ZcjzpHX5mbrK9kVbIH/4tVicS9elVVYn4N47QHCnCKv3uk393Og9gBzUuYMWbwaDAaWZy1nX60Sr751W9Nohk4f7ouOInBMG1D/6zmI2B1qcxJ3NCCRxokSeQ0kq5HuYs4XNOUqcIXdY8r6bwsSAMhF8m799X5VlaTa51VzitDTA1ddBU8+CUeH2wXVjmPHICQEZs0K3DkV3S3dtB5vFfEabMFTdySZ9Yfi2abqA6f771m3B5GLriTxx2SIumoubh7iiJW6cjb//wIyU7edNz06feiR1942q3h9B7mA3gBAStTZvHLkFUqa7avcZwNftN7OwvZlF2/dNuMfnsWrEqfKZkpFXpVV1mBpA4/sEksZ5eGqKCoSQTxtmuP+qklDT78RZ/Ha29Hrs3ht7Wmlx9TDlPgpBAVBWJj/4hUkdcD2N9XiVTPSDBZ5NSG54GqVJgS5Vg5u5+c7Sgi7Wued/FyGvL+7nR5X9+0vWDnIquFxpPNhG9Kq9jD+oXJsc/w8buKixespzpYtttv1AUx5KiyUvvUj4TRQtUtEYOWkSmJCzXg2ZjYggsqTOecu6/OHkEYCpYig+xf2VafJs5LBAPVHhvoGhSG+i86i5T/W7esDj6RFDz3y2tbTRnacGclptXHTvAexWCz8ddtfnY74O7KE9aTdY4NFXv+GvK9Lsc32e5EvRfeNH6KjIT8ftlsdYfxJG6horWBL+RYigiMINjpG14us7cgXLHA8RlmFdZsM2IvXvs4wTD0mIhI8TXYcae0RNa1SMaKihi5ea9prMFvMiHj1s+pLo/GLwQq21CzRPj8+msB+LlVTljkBPOdEQQn2E06PbwIWYwsQgFxLc4E/IC1jVcGXLy1m7VHX6xEyVR+HaPF6irNune12QwAn3kVFroU0gUK1aq3KqCIpsgtb3pA7knE/i+0DXgMuQoRrJvA+8LD1+XsG9gwKCSIiMYKOuqFGzAy4Rtz67W7vGbiVHpVOTXuN3y1ie/p76DP3sSJLWbQ8jFhBPU1+Yj5r8tbw0pGXnM5rRNIG7HM74q1bd+LVDPzcens78BvrbZXL6/nCOW2azdaqsFCimKqxgLfI6+de/RwAL1z/gstzzhFchUqd6O43IqK6HzDT2SBf6CoNZDDciVd/3QZAoul95j4auxqRgpBi/0+i0fiMN/Hahm3Sab+kH0Ngxet+JLLr7dp8sjIZef/3Oj1+EPdi/st2t+9F3reP/XxNNfOP9vO4iYsWr6c4778P6eLQNNCtaLhYLCJe84fTZc8LVbuqIA06ozoJDWrEe57PGdiLQxvrEdF1o/X+fGyC7Xlk6cdGVEoUnXXDsThyjmzYKzXb+NKi0+gz99HU7V8rJyW0ZiQfQ2b3dyGiXX6/tdPXcrzp+EDHKM/EW7fuPgxbEN/Up5DorrrAqgI3z3/wzEwoKZHPxsGDMG+epJWA58ir2WJm/fH1LM5YzMX5jtFkcI3gKpTlWEt3LxJpEpeIrgZJjYhM8q0iVxoL2MRwejpUVHg7wj2OFmhT0U0KNCNLL+5zXhch1yBVnGk/aY1m+BXvbUg+537gDaSeYLx31xoJwoCVyPVSUYt03lrgZv+7EaeDA8DtwFzcuxV4Q/3tdHtYzSnCiRNwzjlyO1CR1/p6iaKNZOS1L6+PqJAojAb73C13ZCH/2M7drTYhS/kXWO+vtHvOVShFpkTSUTucXEXnyKsSp2GIeJWIqGoR62/ea1tvG4kRkBpViozf8UtjaeZSAD4s/tD1YAcyrcc6Cywz8BMkP+tS4HQk3aIDW6XsbI9nXbxYPl+bNonPq5owAYSHS3qJc+RViceb59080GSipwc+/3nJqfYkXuPC44gPj6emvQf528uJOxsk7SAy2TfxWt4qEapJMdIBIT8fjh/3doR7MmJkciV/01jkPfPSTkyjGRZtuI/ArXa6bZ9DHoi0gWeQ1azLEQu+z3jf/aRmBuIuoFBR2IVu9jUi30NzkGvvVCTvFaSV7LcZPE9ei1fNKURNjQjNhQshODhw4rWgQLbOhTSBoKe1h4aCBtpz2q2FOZ4u1AqVh+kcyTyEJM4rw3qrgh/oc+1I2oI0KndU0tfpbxWowlm8Nlu3ZyNRTgnpqSidv16vbT1t5CeC0WDBXYvW0zJOIzo0mr3VzktZzoQjArbI6fFHkQK3HyO5cksQAbYb8cUFb5XFF14o26NHRbymptqeMxgkdcA58trQJR/IpEib3c4HH8Ajj8CNN4p4NRptVlz2JIQnUNwSZh2j5I91WcWrr2kDx5tEqeYm5Mpvlzy01Qn1NxWvVzVYXbSlGSnacC9ipiLi8n1cl6UDkTagJsZq4nvVMM83kVmIFMC9AWwDrrQ+7i7y6szpiPh/D7gG+COyqrXFyzHt2NLTTg20eD2FUQU0q1ZJb/hApQ0csjqCzPYciBsyVbsl37Uhu8FqidSO99lmvHXrnMN5GMdIYSKSYP867si7II/+rn6q9wzNCcA1sqGcB863bvcAthaxQ4m82jSZq7eiwWAgNz6XE83ORQTuyMDWVhWkOvk+5KL6fetjqmvZdiTymo6z1649WVkiUv/4R7G3SklxfD421lW81nWIKE6OtIliVWDY2Ql1ddJi1l3n36jQKGwpyjIR6KyXy52vaQNlrWUkRyYTGSL7x8VJdNhfSznHtAHfWgVrNEPH24T+cuBcXJfzUxCf1+H4JdrXFszHsTDpVOMW5Dp8DWKH1Ynks/rie2ud6XO7dfsbJMDxkJdjpP31qZSmocXrKYwSq2lpUjwTqMjr4cMQGTkyDQpUsdankZ8yN3UGks/oLfKqLhb2YrAXWdJx9vHKASa5P8t0OU9j0VAV/iQcl+KV559aWhMf0IHIq5+OA209kjYguK/6z03I9Zrz2tnXyR83/5FeUzSOOa8fWMf+HWwXxwwkQrsDyc+agTdCQkT0HbZ+v013ctCJiXFNG6hok2h0ZoxYjXV1wVNPyXPNzdIa1tMEKTo0msYulSoiLhGdDTL2iETfIq91nXWkRtlCxHFx0jnO36KtmNAYIkMireJVfVa1eNWMFJ4ir96Yg6TXlA22owcsOC6Tf26I5zlZiEGum+oa9C+8NUNxZBqQh6zGzUJa1l6GWCDuBr6OY3ABxCnHtX32yYwWr6cwynczIUEir4ESr4cOib+rcQQ+XVU7q4jJiuGY5RgL01WBkLcL9Tzr1r7L1jEkmuh7aDghNwGD0UBj4VDF63wkQqkU2lFk+T0LEYKSa5EQnkCIMcTvtIHWnlZsAUX3s/ucuBxONJ9w62RgsVi467W7+PZ73+ZgbRWO4lU1bTjP6ajTkSWxwcUr2CL94FrMFxUl0VR7Klqt4jVWxOuWLZJzOmcOVFXJ7SwPxczRodE0dqsvDongdtQaCI0JJSjUN/+2uo46UiJtIWKVW9viHMQfBIPBQHp0OlXtVdg+q9ouSzNSSDc5/1AFCk963csz1UgqzF+ADYjAOtWZD3wTqUG4yY/jjNiir6pw+HZEsJ4GPIhEce0pR4tXzSlDY6MsucbFBT5tYCSaEwBU7qwkYb5YMk2JU0IgzvMBpCPRQvuZqvIHW+rz6waFBhE3JY7GY0N9k1Su024kef8xbLmpS1BdwAwGg7SI7fA/bSAzBiyWUDwt1+Um5NLe2261bHJkQ+kG/nfgfwCUtnQjX0ZK5JYgosvZCusCoBDJ7RpcvC5ZYrvtnKcaGSmRVXtqOmoINgaTFCFiXBVLfeUrsq2qcrXJUkSFRFHf2WO9JxGh8i29TFrsPrLujpqOGlKiXMWr6hDmD7ZGBfHWRwL0z6bRuNCPe6ssb6gugD9iaKkDKuo6DViFlhaKPwFvITZl/vBdJFXrG9b7lyB+sCDNczY77T9Y+tzJh/6EncI0NMgXclBQ4NIGOjuhrAxmzhz+uZzpaZNirZBZcmHOT1TRq7lejgpCRJd9g4FCZGndPy+vxPxEDr90mN4OZ+cCX1iFtLBdB/zD+tiP7J4rQUXj0qLShlSwNT0JzJapyO/sSk58DoDbvNdPyz8FYGX2Sg7V9VjHogT/PsR42zmf6ja722f6NM61a2XrLDojI10jr+297USHRg84DRQXy2d1tV3RtCfxGh0aTV2HUsNiO9N8opfk2b61q2zsaqSgoYCFaQsHHlNpMKo5gj/YOqepL6AhnESj8Yk+3LXL9s4M4Fbr7QI3z/8H6djn6dqn2k97uxZrfGcK8ANsaWxGpGBrK3AnUoTaY7d/J/4L5ImNFq+nMPv323IPPaUNWCzSPvavzs2ZPKBazHpazh0O1XuqwQKN2RK1yk1Q4mSe54MA19aHVXjKbfXG3BvnYuox8dbdb/ndREAiblORL4YCJOq6yvqc8o2SaOtQWsS29baREgkGg+ffa2ayzCg+LnY1wH7z2JtMT5rO+bnns6lMFZMpX6iD2HccsxGJLGGdh3jLDs5//wsvvQRTpzqdKdI1l1SJV8WJE5CdDTk5tn2cC78UcWFxVLSq9f1yettD6WrsIW6ytyi9jYZO+bxMiZ8y8JjKry1w990+CLa0AfX3cc5Z02gCgdn642/kFeBm69b5i6APmag+h2vET/Epch3O9PC8ZvikIcVfpyHR9QN2z2nxqjmFKCuzidepU6G7W4pg7Dl0CF55Be65x7cq61/9SoTIxa5WqcNGFWvVZdZhNBhJCA9FzLg9V7kLKdiq+zcArzAUn81Fty9i3k3z2PvEXh474zG/j5eOV1sRMWgfmo63bpsBibz6K16buppIjjRgNLgv1gIRr9mx2eyp2ePy3NGGo6yevJq8xDyqBkRkDVLFWostYujMPUjDB9+qXGNiZDLkzOTJ0sTAbPdn6ejrICrEZv1SXCwth2PsVscyPPSnmBw3meqOZsyWDKCBovdELafNT/NpnG29UlClGhSosQcH23LF/SEjOoPm7ma6+/sQezZtlaUZCVTnPn8jr2Dzy3ZudWfvIvBfD8dWcqrlXI4dKpCwy+6xTk4lmyzQ4vWUpq3NJgTUUuxBp5bKO3bYbg/2pd3aCq+9Bnfc4ejjGSiqdlYRMymGpsgm4sPjMRh8LUxYglg6mZAe0mDrrOUfl/z9EgDKt5TTVuVvxfglSAVpLY7iNce6lZCeCMgqt7mpnjjefJykyCA8OQ0opiZMdXEc6Onvobq9mslxk0mOTKZmQLxWY+uxPVh0e3hMnSo5r3V1tsfcRV5V1LWyEn7+c7j2WvfnU40BuvtFtJZ8PIuQyBDy1vjWOcO5NSxIfnhCwvC8XiUdxNnzV6MJFIEQr84ViSoSG4pj4as9VXjvdKgJHLlIncdu630LOvKqOaVoa7MVzqgIVrVTwK+qynZ7sNaYhYXQ2wvnORelBwCzyUzpxlIyFmdQ3lpuFQNdDB51BRFe3YgNTB0yc/2+1yM8ER4Xzu0bxH+vbLO/tjL2wsk+N0x1cygGYF6qCMWiRt/zIqvaKokLMzGYeJ0SP4WSZsfuWbuqZAY/M3kmyZHJVLVDvzkCWZZS4tVdT+7AoSZR9qkDHb0dRIVKNKG7Wz6LudYAcEYG/PjHEgl1R0SwTGp6+qXIrHzLZNIWpGEM9u2S19ZjjbyGORZBJCYOLfI60KigvQotXjUjhxKvQ0kbcGcrCLbiwkWIJZMzbYh49bQ6owksBsTJQLXl7kAErDfLyJMPLV5PUfr6pNWmEg1q62wUby9my8u9n1NFpJJ88WH2k8odlTQXNzNj7Qz21eyzCjxfI6+qEn4/Evmcg6eiJl/IOC0Dg9FA2SZ/xat9y7Ez7G5HIEvJzQDWzmHQ3N3s85mjQ1sICbIg1lueyYnLoaKtgj6TrVPY0QZJVF6csZi0qDTMFmjsSkWKivYhYktyP1898iorHl3BvR/d6/PYfCHKuuLVYafp7COvJVa9bZ/v6o2IECVeJce1oSCGjNN8jwypyKt92gBI5LW+3t0R3nFsEavFq2akUP/XQ4m8piHXD+e8VvWBX4ikEnU7PX/Euh3ZCW4g8LcQdvySjerKaOvW6OwGc3KjxespiopwqchraKj0mHc2ij9xAiKs+tBX8ZowAv9Dx9dL8VD6uemcaD5hFa+NeLfJUixFLuZbkAjB8IoKQiJDmLpmKkXr/K0YnwL8AngcVzureNRFKD5cnvNHvKZGqVmHd5uHKfFTMFvMlLfa/piqOCk5MpnJcZNJCE+gqs2MfFG9BpwFGOns6+RLb36JreVb+dnHP+NI/RF3LzEk3InX2o7aAZus4mJ5LNfH4I6KvHb0JWDqDaK7OZjI1EheO/oa2yq2DXp8S48sncaFO36+Zs+G3buH22VLi1fNSDGcyKsBsfQ75vR4lfU5ZS3oPGmvtG7Hd7HWMweeIf2P6Zz+r9NZ8+Qa2nsnstfyJOR978fW+jx+zEYzFmjxeopSY52A2uemJie7pg1s2yYFNgbD4GkDajk10fvK9ZAo/qCYjNMyOGTtTHVaxmlI7mi61+OEMCAZ6WrVx1CcBpzJXJpJ/ZF6+rr6Bt/ZgR/hvvtMPAOR13D/I6/BRuUz5V3MK7ss+7zXhq4Ggo3BxIbFYjAYmJk8k4q2fiSNoRRYCcArR16hur2av13yNwA2lGzweXyDoSZRSrz2mfqoaKsgN17UqhKvU6a4HusOFXmt68ins15ywTa2buSKZ65g2SPL6O53jh45Ut1ejdFgdGhSALBokXzOa/00C1CduiTyE4nkqGk0gWY4kVeQtCPnvJgKxFtUpT2VOD2vvjTGb86r2WLmnrfvAWBH5Q7WH1/P0/ufHuNRDYfTEKusA+jIq+aUQgnRTLvJcn6+o4el2SwFNKrCezBzdiWIRyLy2nCsgYhpEax5cg0AZ+WcheSvevBKciEZaQ4AgYgQpC9Mx2K2UHsgUJZH8agvDRV5reus87i3MzGhSox59zF1K147G0iMSBzwU82IyaCwsQ/bl5ikIvxt+99Ii0rjrtPuYlLMJD4s/tDn8Q2GiryqFYHWnlbMFjPJkfL7qM+erykp4cGSC13TkUNzyVsAvNfy3sDz+2o8FZ4IVW1VpEalEmR0TC9RkV/VMMFXgo3BxITGWCckiTj6Dms0gWI4BVsgAshZvFYjQQLV79s571VFZn1z8hgLfvbRz6jvlP85NSHdXrHd2yHjHDWRKEdHXjWnFJXWlR578Zqe7hhRqqwEk0mKY2JiXPNhndmxQzprRfiShuoHjUWNtJa1sj9WEtS/sewbRIZEIgVbvtqDpKAKogIReU2dK5G0+sOBEiE5qOW6qNAopiVOY2v5Vp+ONFvMJEYo83DvXyBZsVkYMFDSYoueFDUVkR1rs7nJjc/lnUL7iuM81hWuY3PZZu5Zeg+hQaHkJ+ZT2VZJoHBOG+jsk8ik/J1tDQzCfanPw5Y20NXfRfXuMAD2xe3j5nniZbmzcqfX46vaqwaW+u1RXq/bBs88cCEuPI7mnmbkb32CoXUy0mi8MZy0ARDx2oI4syhakRWdTESkuhOvycN4zZHntYLXACj9Rim136llzdQ17Kzyfg0Y39h7gzdbb+vIq+YUQPVnt+9QFB/v2Ld9p/V/+7TTIDbWNR/Wmbq6oTUnqNlfw3/O/w+vfO4VzP2u/qt1hyQCWTa5jPlp87n/ovutz3Tjm9sASIcoxWSPe/lKzCQp5GmvDlTe1GJkOU7E8JzUORxv8i2819LdQlo0dPeHM1gBW2hQKJmxmQ6R14KGAmanzB64vyJrBXtr1PJjJLCSf+/9N0kRSXx75bcB371o+839AxEPb8RaXXpUhLWjT1SsvXiNjASjj1cslTbQ1dclfyMDtEa2Mi91HsmRyR6/uO7fcj/fWvctqturyYh2XQbNzZXJ3N69bg4ehOzYbOvfNBXJeR1KpzaNxhvDTRtQAqjZ7rEOpJI9FJn4uxOv4ztloLCxkK8t/RrZcTJJX5yxmAO1B+jp7xnk6PGKClIUoiOvmlMK1UfePkoaF+coXg9bvannzfMt8trS4rldpzdeu+M1Trx/gr1P7KVsi2sFf0uJDKoiooK0KPvIoj/idbl1ayQQkdfQ6FBCIkNorwmUeF1p3T4PwJS4KRxrPDZobiZIzmp6tM0WajBy4nMcIq/1nfUO7+uC9AVUtsHHxXcinXOMfFT8EZdMu4SwYIlipkenU9lWOWinse++911Sfp9CbYf39IrUVPksFhbKfefIa0eHiFdfUZHX7v5u2mvaCU8KxxxkJiYshilxU6yWVa58691vcf/W+ylsLHQbeQVpqFDmr9EEMCt5FscajmFbLZjIBSOa8UkgIq/gmDrQjs2GKZuJJl63VWyjvbedFdkrBh5bPGkxfeY+9tfu93LkeCYM+c54C9tEw7fugScLWryeongSr7294qkJEgULCZElXV8ir83N/ovX6r3VVO6o5JxfnoMxxEjBG669N8u3lBORFEGpoZS0aCWyLEjCuq/iVVXhDzUi4UpUWhQdNYGqGl+JuBGsB+Dc3HPpNfXy7IFnBz2yobOBtCjoN3vPd1VMjps84PXa2ddJV3/XQG4pSNpAeHA4rx2NA+ZyqO4Q1e3VLMtcNrDPtMRptPW2UdPh2XrGbDFz/1aJkr9//H2vYzIaRRSqXGwlXpXPa0WFpLX4Snx4PAYM1HbU0lbeRnCS/N0zYzKJC4+jpdvZiB1ONJ0YuN3S0zLgt+vM5MkisofiOFDbUYvZolS4dhzQBJpARV7txauKvKrnm52OGd/iVSaMqshXmJ4kK3HOntcTi/MQH+6jQAyB/G6bCGjxeorS1SXCNMiuHiXOOnFTS7ctLfKYweBb5LW52XYOXynfKpZN82+eT/aKbEo+dr2YVO2uYvLqydR01ZAepRSMWu7xVbyeBpwL/M2/AXohOi06gGkDBsT79VMALpt+GVmxWTzw6QPW598FHnF7pIq8ynL04MxImkFxczENnQ0DS/r24jXIGMSs5FkcrJMGBR8VfwTA5TMuH9hnVsosAK92WaUttghNUdPgtmKxsbbPWEevY9pASYnvTgMAYcFhZMZmcqL5BGWbyzDNkBy++WnziQ+Pd+vksKNyh8P9eWnuxev554v7wT7vNV8upEalYrKY6BjIFhgd8bpjB1x/va2gUjMcLgFWMX6j5oEo2AJH8dqKTbw627yZEEu98Ste1SrT5Dhbupiy4PMlpWn8chnS5vxFBmtOczKixespSleXa2FVirVwX9llKfEKg0deu7vlnP5GXmv21RAWG0bclDhS56dSu7+WXtu3O/3d/TQVNRE9NZru/m67yKtaTvdVvIYC7wN3+TdAL0SlRQVQvIL4KFYAYtP0reXfYnf1bv6w6cf0my8EPg8853JUQ6eI1yCjby4Ky7OWY8HCwbqDHKoT67Ep8Y7KcE7qnAHxerjuMNGh0Q5FXZNiJPXCm+m3fcHZxtKNg47L/jPmnDbgr3gFqSpubmqmu7mbttQ2ggxBTImfQlxY3ICPqz3q952VPItrZ1/L2Tlnuz3vGjG84PXX/RuP+uw2dKrP7uiI1wcfhOefh+98Z1Re7iTlGeT/821gE3D32A7HI4FOG+hCxKu67kbhaPN2yPqas4b4eiPPtopt5CfmDziQACRFinht6GrwdNgEQL3nvUD+WA5kTNDi9RSlu9tVvE631jQds3pU2+ewDhZ5PWINwOX7+T9Uu6+WtPlpGAwG8i7Io6+zj5q9NkFU+E4hpl4TMUulQMqWm+mveA08CXkJNBQ0uC0yGxpTrVtJqLxh7g0A7K75Jbaupq7eqi09VcSFQ1iQb+pOLZkdrLWJ10Xpixz2mZMyh/LWclq6W9hUtonFGYsHrLTA5lvqLZd1Q8kGYsNi+eHqH7KuaB2NXY0e9wXHz5h9hyuzWaL6anLlK9Gh0fTWyUSoI6aDhIgEjAajiFc3aQN7qvcwM3kmB79ykOeve55go/voVW6u5IF/6KdTmEpDOFSvLNDc590GGrWS8r//Db56onGHBfg6oKyVZgH/RaX4jC8CnTagPqOqTsA58qraRy8c4uuNPLamNjbCg8OJComa4JHXGGyrbd6b05yMaPF6iuIu8qoaFqhOWe4ir57y/FT3ralT3T/vDovFQs2+GlLnywunzrEKIjvv1MJ1hRhDjNJWG4YReQ08KbNTMPeZaSlzFUJDQ31ByDLXpJhJrJ2xlvlp0NMPxxqMWCyulUI9/bI8Hxbsm3idHDeZqQlTea3gNY41HCMuLI7ECMdlpzkp0urxu+99l93Vu1kzdY3D84kRiUSFRHGs0bkbj43D9YeZlTxr4NjNZc5tJx2xj7yqDmCTYibRY80QCQvz6dcbYPaLs1nywyUAtES3DPjnxoXH0dbbhslscth/T/UeFqYvdBDpnpgzx9Y4wVdyE8Qk9mi9ytU54N8Jhohqrdvfb5tkavyhHGmIAnA18A4iHC7B1l1qvKBWgoba595ZvKrfT6UFROIoXtX/fx7jFeVj7czslNk+ddsb3ygXHS1eNacI7sSrquZWXpvOkVeTyVbM5Yxzu1lfqNxRSU9rD5MWi2iLz4knbnIcR187CkBfVx/7n9rPnOvnUNcv0arxFHlNzJMLYlORs6n3UJmNfOl8MPDIyze8zJcWr6KjL4uyVjPd/a7i1WyRLxijwTcXBaPByJqpa3in8B0e2vkQSyYtcRFsc1JFvD6862FWT17NV07/iss55qXN40CtZwF2uP4ws1JmcXrm6RgwsKNyBxaLhV1Vu+g1udpE2Udeq9qrSAhPICIkYkjide9/9pLxZgZB/SIUq6dU28RrmMzI2nptYchtFdsoaSlhScYSn86fny+icLDGHfZEBEcQFhRGdXsnIgYKfT94iHR3w4EDcO21cl+L16GgKtI/RvILJyMrIH3Ag2M1KA+oz3TMEI+PQASqEuvOkdd45NprrfjlfWCu9ZjxSXN380DXQnvmpc7z2Y5w/HKHdXvhmI5iLNDi9RSlq8vV8N3ZKN6+AEv5cHrKex2KeC3fItG1aZdMA8BgNDD1gqmUfFJCV1MXBW8U0NvWy8LPLaSqTS6itsirEoxDvUgPn4Q8uSA2FnpfDvedCGRJ0iZqjAYjceFVBBnmsL8WQoL2YStWEwwGlWbhezn+/zvj/w3c/sHqH7g8nxufy+KMxQD88txfkhDhevHPiM7w6DbQ2NVIdXs1c1LmEBkSydSEqWyv3M5T+59i8cOLufeje12OsY/ut/e2ExMmf9teq871Vbw2FDTwym2vANAT3sPyby2nkcaBL7C4cPlQ26cOvH3sbQDuPO1On17jnHNkMudPswKDwUBiRKI1fSIamwAYOZqbpVPeGWfIfRWF1fhKB3ApYk20wO7xeUgU9s+Mr+irukDHDuMc+dgiqkq8qsirErHK47kQ8G3CNxb0mnrp6u8amLjakxEj1y/nFZiJxeeQnNdpYzyO0UeL11OU+npIdFpJCQ6G0FBH8WofeQXPOXPqGCWAfaFqZxXhCeFEpdkOWvyFxfS29/LM2md45+vvEDcljpyzc9hZtZPUqFS7yKuyNfIjTyHAxGbGEhQWFEDxCvL72EcDzEAZsWHzKWqMIdjYjyxj2gg2qqID39sz5ibksuXOLTx19VOcm3uuy/MGg4Etd26h8J5CzpxypttzpEWleSzYOlwnJsGzkqWo4Po51/P2sbcHRKu7FIKYGFna7u6WJgVRIfK58Dfy+tG9HxEWG0bbo2088OMHuOAPF9DU1TTwBabOq4rCAAqbCsmKzXL7JeeOPOsqqb9iMCkyyVokEo5t9WDkUL7NqakyWW0JVIbLKYOa5H0VVx/NryMTyU9HdUTeUeJ1OJP6bGyitRIp/lJ9mSfZPd5j3W8InWlGCTVBVRNWeybFTMJsMQe0U+DoY2A8dzYbSbR4PUWpqHBsDauIipJuRv39Ek11jrx6Eq9DibwWvVtE3gV5DkvWmadncs7Pz6F0YyntVe1c/dTVGION1HbUMiVuit2+alnLD/PPAGMwGkibn0bRu4PbQPnOVCTnVVUNHwd6MRjy6TOp39XRJDw8uBmzBaQFru8sz1rOTfNu8vh8SFAIeYmec9kyYjJo6GpwEIGKw/UiXlXnrrtPv5tgY/CAZZbKabXH/jNmPGDk/AfO58AzB/wWr83FzUxaMomZC2fS2dfJ0YajDkuHA1277MZ9oPYAc1Pn+vYCyP9OSgq89JLPhwAwM3mmtbvX6IrXuDiZiPqT5qAB2IVEtf7g5rnlyN9x06iOyDsqmj+cZfx4HAu2MhCRBLbrbRVSrGVGotDjE2WJ525SumSSRIx9bcOtGV9o8XqKUl9vK9CyJy5O2ryq9ADnyKuntIGODlvk1he6m7tpr24nY7GrP+DqH67muheu46onr2LyGeLN19rTOrCMLAw3tysw5F2YR93BOvp7+gff2SemIsJViTtV4bwMizXKbLYccjgiLqyN9t5wRnsGrtIKdla6tlo9VHeIiOCIAQuuzNhMVmZLF7GokCiKmopcorb2n7FJ/5tE0rEktt6/deAz5+vEqL2qnZhJMQOm5IfrDtPc3TzwBeZOvJa1lJEbn+vbCyCf9auusrVQ9pWFaQspbSnFZA5lNMSreu+0eB0KFsQA/hwPz4cCOdhWgcYDym0gyOte3rFvRODcgECt7tRiSy0YvzZZyhJP5bnbk5cgE/OKtopBz2OxWChvLR/UMUUzemjxegpiscjSrHPOK8CyZfDJJ7YvOX8ir/5EXU98IBd8Vaxlj8FgYPY1s5l/y/yBx1p7WokNs8/jakVyRMe2q0jyjGQsZksAi7ZUGoRKHShAoh4zmJ92OXUd0NXnuOQ+N7WLyrbRj0Ar0293ea+H6g4xK2UWRoPtEnP/hfczK3kW9517HwDV7dUDz3W3dFP104f4PP+iZFM58cfiZZ+91VSVS05amg9ZEaY+E22VbURPih7woj1Sf4QeU49H8Wq2mGnqbhowLveV5GRx5jD74ZSm3rPufhjNyGtsLEyaBKXOnT1HmF7XurwJRBXQiPfIYh5weHSG4xP9yDVxcMcMzyjxakbSA+zFa7L13FXYorP+/d+MJt4irwkRCQQbg716VStuf/V2su/P5tKnLx20JbZmdNDi9RSkr08ErDvxumABVFbauvH4GnmtrYUkP65h1XurMRgNZJ+RPfjOSGV4TKhz5HVso64AyTOlM1X90UD5BSrxqqIaB5ActHDyE6dR1go9/bac2K6+EmalWGjo9D1qGChUVy5nr8Q+Ux9byre4VO4vyljEobsPDURE7T1iN/9hM93FNWRSycbPPYrZaKb6xmpMPSYq9sh+vojXukN1mHpNZJyWQUpkCgnhCTxz8BmAgaIzZ/Ha2tOK2WJ2a6fj9fdPlqItf6KZ+YlihNzS081oiFclVtPTxd7r4EFHsa3SfUaC3l6xzlNOBxMPlQ403cs+KxHxOl6SifsY/gpMMhJ1LkREqn2AIRiJtO7CJl5diznHC95yXo0GI6lRqV5bXIMUjz6570lAUgwKGlxbmGtGHy1eT0G85RCq6KnqMa/EqxKm1dUuhwBQUADT/Ch4bDjSQNzkOILDfIucuo+8jr14TZpu7dRyNFCdWqYguasqj+4T4GxA2rpWtILJYgufVbT+i2AjdPVdGqDX9x3Vpaauo87h8eLmYlp7WgfSBJxx1+DgxPoTxM3JpBPxb9t37j76VssSaOthKaiI9aGAur1K1FhcdhxBxiDWzljLvhrp46qiLyr9REVl1FKgv+J1tqTzstWPlLklk5ZgNBhp6OxiNFqMHj0qIjs1FebOlfQeJWh/+UuZlL7//si89tatch158UX/PXHHB+pz7a3tssoJd7WwGxsCIV7Ptm7fRyLPk52enwEUAw2IC4OT5+I4wlvkFaxFp4OI1y1lWzBbzPz87J8DePW21oweWryegiivVneRVyVey6zXYpU2kJwsRSp79rg/Z1OTfx2QTnx4wueoa6+pl5buFievvvEhXsNiw4hKjaKxKFC5UAZgBbATc38Xn/4lh0/um0pPWw9T4qdQ0RZJXHgNYo8CXf3b6eqDvMQrAvT6vhMaFEpCeIJDte6JphNsr5Q8XRVldMZZvPb39FO1q4qM5VP4K3eTcM1ZrF++nuT8ZOImx9G1YSdgISJCcs+8Ldt11lvbyqZIdNW+s878NElDyYyRSsXSFlFxQxWvS5fK1h/v1JCgEJIjk6lqD0YET6C6s7mnudk28ZxrrUc7cAA2boQf/1juP/74yLz2m2/abu/aNTKvMbKoFYVkL/uoSvtRzsfwSCDEq7ouv23dLnJ6fhISkS1GJtvjF285ryDWi4OlDajrxMXTLgagsHHk/Zk1g6PF6ymIiry6E6/K6mrrVjAYbJZAIL3lKz24inR22pocDEZvey+ddZ2kzvUW0bBxrOEYJouJWSn2hQFHGS9dXRKmJji0tB0uvR3TePnWWdwX+Xve+dolfPgj+POUP1N7oJbq9iRCg0yAhMajQks4Ug9Jkb69l4FmZvJMDtVLAVlxczFTH5zKzS/dDNiqeZ2JD48n2BhMXadEtgreKMDUa2LKWTl0EkX3ubNpD24nMzaTs392NuaKKuZykCP/28XPjT/n58af88aX33B77o468WyLTJYPo72DgGqLGxYcRkpkykDObVOXLH/6K17j42Wy528eaWpUKiUtFiRtYGQLQFpbbRHr2bOBsFYe2ns/j7xQDMCSJfDqzq309AZeRD/3HKxaBUFBE1W8qsirN/E6Bync8rNX8IgRCPEaj0RUlYlxjtPzk5CUgb2Ml2uwJ5q7mzFgcCr2teEu8moym+gz9Q3cV84o89PmExsWS1FjIN1lNENFi9dTEBV59ZY28OabEqmxX6pNT/ecNuCPeG0uaQYgboptNlzSXEJ7r/tlVBUZUxE7MCEVvjN8e8ERJu/CPCp3VFKxbfCqVV/46N5p7PvvPMx9Fubfso/bPrwegA9/8iG2L1IRXPHhlRxtCHLKBx49ZibP5FjDMQoaCsh9wJZ3e+v8WwkLdu9tZTAYSI1KHYi81h0SkTDjohwAGtoksTo+PJ75t8zHnJjEWl7jna++BUBMZgy7Ht5FW6Vr9WBnfSeGIAPh8TIzW5a1jFWTV/Hi9S8SbLSlqESGRNLZL1HaoUZeDQbJ6SzwMwVuUswkylpUvqB85keqBqSlxfY/HB8PEVf+H2/2f4v/hi9jxdltnHH7m7R/ZgW/fu8fAX1ds1lSBlatklzbiSledyGRRW9d/OKR69B4WUoOhHg1IN3+lKhz/r9Ybd0WMt7Fa0t3C7FhsQ6Fo/akRaVR21E7sJrz2O7HyPhjBvP+MQ+zRSZ0FW0VpEWlERoUSn5iPoVNOvI6HtDi9RTEW+RVLTF2dIjzgD2exKvF4p94LdskOQnpC6RCvqChgJwHcrjhhRvc7q9ErTKXl4uqifFijp2xOAMs8MiyR/j32f/m459/TPUeDyp/ENqr29n2YC2zrz3It2t/x5X/KSHn7Fmc9vnTOPraUYLbVfFEI1BGYkQb5a2xLu1dR4vMmExqOmr43vrvAfDdld/F8lML/7nqP16PsxevLSUtRKVFEZ8cgsEAze0yu4oIicAYbKRz6dmE0oep18Qdm+7gpjduwmK2sPUB12TTzrpOIpMjB96P+PB4Nty+gatnXe2wX0RIBF194ompxKu7LmKDsXQpbNnin/hcmbWSI/USzent7eD008V2ayQErH3kFaAv93UATBG1bDk7lre6fgTAhiI/Pb8GoaFBCkMnTZLryMaNco2YWBQC8wfdSwRu8cgOxWcCIV7B1jXLgGtB1iq722sD8FojR1V7FSlRnvPZ0qLTJC2tp4We/h6+//73qeus42jDUXZU7gAk8poVK981GdEZDrn6mrFDi9dTEG+R10V26U2qIEWRni5fSs72N729EmnxVbxW7qwkPCGc5FkSRVQ+oW8de8ttPmNHnywFR4Uq8aoinG66LIwBeWvyiM6QkHXJxyV89NOPeGT5I1TtrhrkSFe2PrAVU6+ZM3/8CVEpnRgM0rs699xcLCYLoceleMJiaQTuptdk4EDt2OWdTU2Yitli5uUjL3P36Xfz2zW/9em4lMiUgS+B6t3VpMxOwWCQAqKWThGV4cEyu2rOnMOOqLO4/qXryV6ZTdqCNPIvzmf3I7sxmxyXuzvrO4lKGbzNW0RwBF39TuLVTf/zwZg5U/JK/elclZuQS4d1VfLQoQ527IBXX/XfM9YX6uslXx2gu7+b/vAa2PB90lsvB+BY+x4ADtTvDejrqvSiSZPgyivFYm/7dq+HjEPKsOV/eiOH8SVeA2EfqFZ44nD1jDUA/wW+DKwJwGuNHEcbjjIjyfMKnerYWNVWxb6afdR21PKPS2UV4vWjMtGzF69JkUku7iqasUGL11MQb5FX+yYDc+Y4PpdutRKtdZp4qoiKL+LVYrZQ9E4R2SuyB6Jjm8s+YJp1Zaq4udjlGGV3YnMbGF/iNTg8mG8Uf4PvNn6XO7feyR2b7iA4LJinLn6KF296kXXfWseBZw+4CC1n+nv62feffeRdOJW0+WrJTlqzZq/MJig0CMNOSZ3o7t8HvM4TexLo6HNfGDUanJ1z9sDtLy/5ss/HpUalDuS8NhQ0kDZfvkRiYqC10xp5DZYq5q5uAwdTz2bWVZLzbDAYWHDbAroau1xSNVTkdTAiQiIGrLIauxqJConymObgjUnWQHiVH/OU6UnT6bBOADdv7hh4/HCA7ULNZmk4opqRHKqT3OQ/fW8OVX98jYxo8e8Mbp9Co+FoQP0r7cWrKmzbts3z/uOPUiQ1x5eJYQ5ildU8guPxlX4CE3lVvoeefv+bgb8H4HVGlsauRrt0M1dUTvzOqp0crDsIwLm557Jq8ireOCZ59eWt5QNFnvkJ+ZS1lNHW48HwXDNqaPF6CjJYu82lSyEiQoo57FHi1Tl1wB/xuvkPm2kpbWHezbYq8JvnP0/BPbAyG443HXc5RnrBY2cirwTL+EgbAAgKDSIiIYKsZVlkr8zmxtdvJC47jsrtlez4xw5e/MyLvHD9C14FQvnWctoq21h052lIscRjgFxcw2LCxFP2RBSlLRARIkb/G0q7B0TIWJCbkMsl0y7hsws+y5zUOYMfYGVSzCQqWivo7uqmt713QHDGxkJbl0REI0Ks4rXL9bM19bypGIwGjrziWOrfUdfhm3gNtksb6G70O99VMcMa1Nmxw/djlmUuIzJEIlu1tR3kW+cezpPC4dLYKD60SryqZdCrl8iy733n3sf1c65nStU36Dd2UNXu/0qBJ+zFa3KyFH5u3Biw048CKkx8ng/75li3xSMyEv8IVNqAWmofe0eX4dDa0+rRaQBgVsosDBgoaizigxMfkBSRRF5CHmdkn8HB2oM0dzfT1N00EHmdljQNCxbKWseLNdqpixavpyDKmDzKw+rqm2/CoUOQ6PR97km8dliDR4OJV7PJzLa/biP7jGzm3mirAj8tQyKr18yCkpYSl+MaOhsIDQolOlS18KpALtB+eHONMlPOnMLnt3+ee47dw/fbv8+ZPzmTwy8dpvAdz8n+pRukbD3nrBzgdOB2h+dT5qRgOm6iwM5S9u3CzjEVrwBv3vQmT1z5hF/HzE+bT4+phwPHDgA2d4CYGGjvdkwbaG93/WxFJkcy5cwpFH9QPPCYxWyhpbSFmMzBv3AjQyId0gaGKl4XLpRWsf5ETQ0GA9GhEmnu7u5g+nQICfFcDAkiROv9XK1U+ysLO5WmkR4t/8i3L7qdZ699lvw4yQ86Uhu4oiMlXtU148ILYf16mYhMjBa1Ssi7pg2sK1zHon8uYt4/5llXinKszxSPysi8EyjxeoF1+4UAnGtsMFvMtPW0OfmDOxIaFEqQMYh7P76XJ/c9ySXTLiHIGMSi9EX0mft4Yo9c15TTjbpO6DaxY48Wr6cgjdb/O2dxqkhOhpwc18fVF1FVlURbVQS30KrHpgyywlZ7oJbWslYWf3GxQ4GRtMqEBenu0wYauhpIikiyO+YIEnWdGB9fY5CR1d9fTdyUOD76yUceo68n3j9BxuIMolLdzypS56bSU9HDM9skZH6o7gvUd0J2nG9+ueOJhekLAdhXIA0EHCKvfTKZUQV6NTXuu2tlLMmgZn8Npj5pH9tS2kJ/Vz8pswef1NgXbDV1NQ1ZvBqNMjZvwtMdIUaJvFosTWRkiAj+9FPP+6emwmRnr/hBUJNU5SBS3V5NbFisS3rEFavEQuzdnYEVr8nJttWdK66Qa8bSpZCQAI88ErCXGiGqkFxPR5us5u5mrnv+Oo7UH+FA7QHufO1OLBZ14Sse5TG6I1DiNR1JQbg1AOcaGzp6O7Bg8SpeAVZNlpWIuLA47j37XoCBLoDfWPcNAJZnLQdsq39avI49E+PbXxNQmqwuPQl+1qekpcmX9a5dYhF03XXy+IkTsp3urYsicPTVowBMWW1TuZ19VcRav+CyYoPdR167Gga6OUle2TvAJf4NfowJDg9m2deWUbmjcsAaypmGYw1ehVfKHHnu3fdT+fEHP+LutwpIiUzh2tme+292N/9/9s4zPK7qatv3qPfeu2S5925jG1OMaQZCqIEAyRuSEEihpJGE5A1vQr4UShoJhBR6AqH35oYxuHfLtrps9d77zPdjzZmmaZJmNCr7vi5fZ+bMPmf2yNKZ56y91rO834J0JMyMn0mwfzCFO0QwaZ8tKgqagw8T7B9MXqy0yq2qMueWWpK6JJXB3kEaCiTEWF8gP1etENAZYYFhJheLpu6mETkNaDizkHNETMgsBvQQFVPKjBmyrO7IQ7m+Xpb/u7tl6y7aioi2wvJByQd2vXc3LM+EgSAOVHhWvFr+n60zuisdlUA7d98tbgTjlyIk6mr9Ffn4vsdp72vn0698yiMXPsLm0s0cqasEIphc4hWGFmpNLNp6xXLPlXh98ZoXqbmnhsq7K03XnPy4fC7Ol6YE5+WeZ1qtUJHX8YMSr1MQTbxGO04FsktQkERO/vpXiYa98YZ8QbbJNcLUStYRp3eeJmVRCjE55oENXQcA6BmIJCVc/F5BjKLNYxpICEsAPkZsW7oB+7Za45mZl0uCZMWOoa72XQ1dtFe2OxWvKYvkArqqYRW/+PgXbC3bypcXfdm0vG7L5vs28+vYX3PkuSMemL1nCfQPZF7SPBoKG/AP9idhpgjO+HjoCD3GnMQ5BPoHYjDI72uCHT2auljSJar3yxJv3VFZFk+c7TrymhWVRVV7FT0DPZI2EDKyyCvIisNwi61WZpxFbQekZJYwf7587kYHHYYrLWrSvv99abfqDpbitX+wn1ONp1ifvX7IuPxp/gS0T+NIlWd6thsM0uTEsuAzNBS++lW5wf3jH8V94Mj4+7W0oACYb7XHYDDwyGePsD57PYtSFnFR/kUA7K8+wPixy/KkeJ3YaE1I5LvDMQlhCSRHJFu42Uhqz5s3vEn1PdW8c+M7pv1J4Uno0NldIVSMLUq8TkG6u8VpwG8E//sLbGwPy8vFJigoyHEBGEB/Vz+VuypNAkyjtUe+MDv7phMdMsCZtmKaupsI+L8AdD/X0dXfRWNXo3G5RsurDALWDH/yPiZ2WiwRKRGm3FZLyreLaM8+23HuRUx2DLF5saTXmV0WvrHcfoV/3dE6Pv7FxwAc+MeB0Uzba8xOnE1fdR/RmdHo/CQlJDER+vyaSQgTAdrXBwMD9vOz46bHERgeaLIkO/naSaIyotwq2JqZMBMDBkqaS0aV8wriY1pWNjy7rPTIdDr6ICyqiaQkEa8tLfJZbWmyCPI89BBcfbXZE/bpp+Gjj+y/h1ZIGR6OqRhLiyBZotNBcuB0GvT2I69vvglf/rL7PrQ1NVJ8tsbmT/Txx0Xkb9wo154LLxx+xHrsaACsq9RPt52muqOaa+dK05Dp8dMJDwznQPUBIBlzO1lf0gW46Vk4ySlulk5Y0+JG1kjBT+dHSkQKQf5mC57woHBmJszkcO1hj8xRMXKUeJ2C9PY6F5rO0Lxfl0hKECdPype2vShu+fZy/rH2Hzyx8gkeCH+AnpYe5lxrbR7bPSBLvYN66c7UN3iGn2z+ien1/xz9jynnVYz584E6JuKvrk6nI2Vxit20gbJtZQSEBpC2zM76uAUxuTHk9eZx58o7efuGt8mJybE77tOHPsU/2J+lty2l9KNSu9FeX5MYlkhyYTJx083CMS0NCG7F0C1LfbZ5m5b4+fuRsiiFmv2igBpONJB/iXu2YZq/Y3lLOb2DvaMSr1oueL39bBC7pEel09UP4VEtJCaam4PYK2ZqsrNCefgwnDgBN98MGzbAK68MHWNZSLmjQkr9tRa5tmSETqc/opi+fms7t5YWuOwy+Ne/5G/dHbTUgNmzh77m5yfR19dek4KyJ580f5758+Gdd4YeM/YYgEY0u6hB/SAXPH0B2Y/IjeXytOWAiJu82DzKWsuQFaFmeycbY1oRb1aF1vbZVeR1uCSHJyuv13HAxFMAilEzGvH6la/A//4vPP+8RHS2bnUsXt+87U0qd1XS3dSNX4AfkemRQyKLA/oWAAyI6EiJgL/s/Qvn5JxDkH8Q+6r3Ud9ZT1pkGiJeU5nIF+eEWQk0FDTQpxl9GinfVm7ycnV1fHtBO785+zdcPP1iu2MKXing4D8Psuwbyzjv/84jMi2SD77/gUd9PD1B7BuxhHeEk77WHEnesAEIbqOnVf6PnYlXkLzXqn1V1Bysobuxm/gZ8fYH2qCJVS06MxrxqllRDcfqKi0yjc5+CAtvIyHBLF7tpQ5o4rWwUHJJg4PhhhusxeHX7BSFW6YNnGg4gQ6dqTjFlgWJSyCwh7cOWHcSuPde8+MPP3Tvs2mtYBctcjxm0yYRq++9J360t94qovd733PvPbxLJ9AHxNM70EvwL4L5sEQ+/FWzr7LKG86NzeVEwwmUeB1/DO3M6BkSwhKUeB0HKPE6BenttW5GMBwiIuBnP5PoSW6upA00Nw8Vr4P9gzSeamTND9aIXVT7vXy76NsEhVu/8YBe1loD/CQilBEl3WHuWH4HM+Jn8OLxFzFgMFanNzO0z/bEInt9NgM9A6b8TIDu5m5qD9eSvd61IXruebn0d/U7LPoy6A1s+ckWwpPCOed/zyEsIYy1967lzKdn7KYr+BL/7SLUc/8n17QvNxcIaWWwSyKvmgBzJF6Xfn0p+n49jy1+DICcc3Lcem+tQEuEBxYFgcNHE6/DibxGBUfR3edPZFQHYWHOxWtVlSztZ2ZCaqr4Lx+XfgOcfz78+tcSxbSN2lqK19qOWhLCEgjws999aV2edBL4rNjsm9vSAs89J9HdjAzJY3WH0lLJUXbkZqKxZg0cPAjvv2/uvnXsmHWOr2/Q/jYT+fHmHzNoGGRp6lIGfzrIf6/9r5VTyprMNZxqPEV3fxzStrrDFxM2YgDaAOcFSlOFlp4WdOiIDPasV21iWKISr+MAJV6nIH19I4+8WpKVBRUV8oWjmbVrnPnsDIZBgxjrI9X2ASFDvzj1eqn2Cg6QKs9fb/gh9669lytmXsGshFkmb8rFqYuRpbyRV4WPB7RiopOvm9dgKz6uAIPm7+ocrZK+5qD9ZMGGkw3UH6/nnPvPISRaCrkWfXkRESkRvPHVN9h832ZeuuEl9j+xn+L3i112/fIWnfWd9B/tZ9vZ22jVmZNF/QIGIKiTvnb3Iq9Jc5NY92MpZfcP9jcVcblCy2V77shzgLnTzkgYSeQVoKcnlPBwsetyJl4LC+VvTfubzTQ6o333uxIN1Vw+DtikNtfWSm57WBjUdtaSHGHHb8zIshliwn6qxmy+/tBDUox5223y/o7cEGyprhaR7Yr58+XG9zG57+DVV+1/jrFHovEDg1k8c/gZrph5BXu/thc/3dCvy9wYufGq7UwG9IBnit5GxgAwiMp5FZp7mokJibH7/zYa8mLzqO+qp7LN53dZUxolXqcgo0kbsCQrS75oTp8258BqaAVIMzY598/SI232QgOWAsFMj+/hgfMfINA/kPlJ5mrfzKhYpDlB3ugn7kPi8uPIvyifnb/ZSc2hGroauyh4qQD/YH/SV7hud5swM4HYabEce+GY3ddLPxLfsvTl5nMFhQdx5dNX0ljYyMe/+Jij/z7KG199g2cufIZXvvgK+oGxF7A7f7cTDHBy5kmrKIbWdrG7RaJH7cYujI4aagCs/9l6rnz6Sm47eJup8MsVIQEhrMtaR3OPLPXmx428xa6pCcAwxWtXdzhhIWKW7Ey8Njaa82oBfvMbWc6//355fr6xCdQnn1gfV1Iifs1+fnCg5gDT46Y7nMu07BBoT+VE637Tvk8+gcWLYfVqEciHD8sSvytqatwTrzfcIHN79VVYu1b+gefb5A4fKVzbX9NGbWctX1zwRYcjtc5LVW2aO8owwu8eR6v2sx9dn2qMthDTEVrayMlGN5PAFV5BidcpiKfEq2VTgqVLrV+r3ldNbF4sITH2bZzMdNAzAP5+kYjdjHlp+57V93DNnGt47frX0OnOGPeOrHJ0vKDz03HlM1cSEBrA6//zOg9nPsyhpw6x4KYFdiPT9o7Pvyif8m3l7H9iP1t+uoWGkyL+BnoH+Ozhz0hbljbE1SFvQx63fnYr171yHfe238s1/72GpV9fytF/H+WZi56ht63XK5/XEdV7q4ldFEtVepWVeG3tlShsR4NEXiuMvw5atNEeOp2OBV9cYIryu8utS24FxHh8NNGZ4GBJmxmueO3siCQ8WHKfnYnXjg5r8Z6ZCQ88IPZTIF3JEhLkJtKSpiaJCrf0tFDRWsHqjNUO5xIUBJG1F1E6IAq4p0fauZ5zjrx+9tkytyefdJ37WlVlLbYdERMDf/gDXH652GfFx4tI3rrV9bHepQQI4XCtCNGlqUsdjpydOJsAvwB2VWptrT3c43dYaMa5yioLJPI6Gv9mR6RGGi362j3XTlkxfJR4nYJ4SrxaCoqzz7Z+rXJ3JRmrM1yeQ2+op71XK1JKxDJyER4UzgvXvMDlMy8HY4R2MhQjhMWHcd4vz6N6fzUD3QMERQax/r6h/puOWPaNZegH9Lzx1TfY/n/beer8p+ht72Xf4/toLmlmzQ/X2I1Apq9IZ9bnZhEUHsScq+aw6a+bOO+X51H6USm7/7zbkx/RKYP9g1TtqzIJbEvxqhmLtxvFa2mpROeG213KHa6fdz0l3y6h4q7R5wInJTkXr7127g1qahKJD9ejN/QRFSVtZh2JV0dpExqZmZI/aklbmzR9ONUoS9muost5kXPpDazj8ucv5y87nqWvz2yNp62s/M//wAUXmIuybBkYEPHq7v/XHXeI84BW3LVggbljn+9oAhL49PQuIoIiyIp2/GFiQmLIi83jYK2WU+FLQTM1Iq89Az2m32lnjKZznjO0dtya/ZzCNyjxOgXxVM7rlVfCfffJF66lZ+xg/yDtVe3E5bu+cEQENdHUrX0zJ+LYK9HYCQHPJt/7ihXfXMG5vziX8x44j3vb7iU6y31RnjQ3ia/u+So3vnMjN75zIx3VHfxz3T/Z8pMt5JyTw+zP2/EocsC6H60jY3UGh/51aCQfY0Q0lzTT29pL/noRU/Wd5huW1h6JvHY3S9pAXZ1E6AK89H2cG5tLWODocwQTEx0XbL3xhuSe/vOf5n39/VBenkmAHzR3n0CnkwIne+K1rU2iq8648ELYvds6+trcLOfcXy1KU/LGHTM9Rn5v3jj1Bj/+7OuAOZ93wQL44hfhrLPk+ZYt9s9RVSWpBa5aRTsiO1ui7b41xqgEUthXvY+zs8/G38+5A0h2dDYF9VXALOC1sZigA6ZG5PWhTx9i5p9m8vf9f3c6rqm7idgQz0deo4KjCA0IVZFXH6PE6xTEU5HXsDDJu7OtKu6o7gADRKa7FpqRQX109GviIQHHOWNa5HVyVNLqdDrO/vHZrLt33YiOT12SSv5F+eRflM/qe1ZTe6gWg97Apsc2WVVDu8Oca+bQeKqRpuKxaXnYXin/l7HZsWRFZ3Gs3py/q0Vee1qjqaqSYh5XndvGA84ir1qU8uGHzfuOHIHWevH0ressMp2jtnbo8S0trn8GN94o2/ffN+9rapIW0MVNxYQEhJAd7VxRLs4wezB3D3ZCaBPJxhovnU4aInzyiUR5n3zSvsDU0jxGGinPzpaUheGmYHiWEmAap9tOkxXl+oPMSpjFsfrj9A/eBOxEunP5gqkRef30zKcA3PrGrfxu5+8cjmvuafaKeNXpdKRGpqrIq4+ZAOJ1B/CMrycxqfCUeHVEwwmJnsZkx7gcGxwwiF6vTUaLvNoLu2jidXJEXj3JOf97Dpse28QdBXe47XNqyewrJeJ29N9HPT01u7SeluhqVHoU85LmUdRkXifWcl7pjeLtt+XhdROgE7Az8aoJ0iNHpBMXSFFSV6tUerX3yYEzZgwtVtLrxUc51sV38Ny5Ev39v/+TY3p6JGIbF2d0GghPdnlTc92F2fDWn7mg70+yI3ub3dzV22+Xz2Lv854yrubm5g59zR20iG15+ciO9wzNdPeH0dTdRGa0k2RrI2uz1tLV30Vh02pEOD7s6hAvoUVeJ6947R/sZ1vZNq6YeQX+On++98H3+O0nvx0yzmAweC1tACR1QIlX3zIBxOuTwF2+nsSkoqfHu+JV6zXvTs5rsL8evUEr6kpAogctdkZOrrQBTxIYFsjSry0lKmNkUemYnBgS5yZy6o2xsfmp2FFBSEwIMbkxJIUnUd81NG2Anmi2bZN0lJ/8xMGJxhFJSZI2YK8av7jY/FjL52xogO42+WLt7pdcgYyMoe1S29vlnK4irzqddMIqL4e33jI7Dyxb5tomS2PaNB2fz7ydD379VfwHwwiYsVk6ntlw4YWyffnloa/t3CmCedoI6yrHTry2Yv8mWbxSy1tbADg351yXZ9Ii2iXNncCVgK/ahGmR18mbNlDeWk57XztXzLyCzh91kh+XzyO7HhnSgKW9r51Bw6BXCrZAirZqOsZtb+MpwQQQrzORaNx46F4yOWhoMFc3e4OO2g6CIoIIjnStkEMCLMWr0XPIbt5rORCM1rJR4VnmXD2Hyl2V9HX0uR48SpqLm0mcm4h/oD9JYUnUddaZvnxaelpkUG8Un34qIihsAthWJiWJyLTXyvXIEfjc50SIa6Kyvh56O+R3uWdArm3R0WaxqqE1HnAndeL3v5ftli1ikwXipVraXGoqMnHFgw8Cg0EMFp8Lc19AbxgcMmbRIpnrMRu3tvZ2+PvfYdUq6xz44aDl2NrL/fUcTUAysArppGVJL9BPXYf4785JnIMrtIKu8pZyYDVwBjjh7BAvMfkjr4dqJDd/VsIsggOCuWf1PVS1Vw2xrdJaw3ojbQCMkVeV8+pTJoB41S66Pk2CmjQMDsoXg+ZN6Q06azsJT3bdkm9AP0BoIIDR88ckXu3lvZYCuYDz4gnFyEheKJG5sm1lXn+v1vJWU4FaSkQKfYN9JseBQ7WHSA7NgP5wioslGjkRcNZlq7kZ8vMlV7RQLESpq4NAg/zMtbSB6GjJI9W8bcEsXu2lDdR31ltFnCIi4NxzxWqqogL8/SE8ro3CpkJWpq9063Pk5BgfFHyegeA6SltKh4zR6aQpya5d5n2aswHAeee59VZ20Tr1tbU5Hzc6diIidTfwC5vX5Idf3FxHcngy0SGuCymTI5IJ8g+ivLUc+Jxx7zaPzdZ9Jn/kdUfFDsICw0xeq5fNuIxg/2Cu/+/1xpsHQbueeCvymh6ZTmtvq3mlSDHmTADxql08vHo1mzK0tkpkx5uR19aKViJTXS/vd/Z1EBYIOlNHGKMCwE7VCu1MBpus8cq0jdMITw5n/+MOPJA8RHNpM80lzSQvEOG2PH05AE/sfwKAyvZKZibm42+8R3HH7H48kGC0mLXNA+3tlTSd6GjJAy01asG9eyErRQ6qbpcwqT3h1mxccLKNvP7n6H9I+l0Sv/z4l1b7N2wQy6yXXxbBXNslXYByYnKczN76C7iiApbnScu8kw32jdgvugj27ZPPBvCOcaX8nHPg7rudvJULQkNFdLd6VRO8afHY1iJOfvjH6k+zPsc9+zo/nR9Z0VlUtFYAOUhq09jkj1sz+SOv5a3l5MTkEOgvAj09Kp2/XfY3DtUe4sFPHzSN21u1F4AFyQu8Mg9pV25+H8XYo8TrFEP7stEMzj2NwWCgam8Vqctcq47W3nr8dFqDAgCtK9RpO6M7ABdml4oRExQexOzPz+bUm6foaujy2vs0Fcm6euZZUgizPE3E6482/4gn9j9BcVMxObFZpoKfdNdNx8YFmuNGs012kybCYmJg3jwRlj09ImKzs+WPsGegBTCLV0vh5iht4J8HxXfrmcPWxazXXy/R2+PHYc0auRkA+ZIXBoGLMNcR7ABigP+azpGZCR89u4Ag/yC2lduPIM6YIe+jpSdoeb1vvCGR2ZGi08nPwbuR17eBa4D/AT5F2rpqSB7jqcZGpsW6n7ibFZ1ljLzqgLn4RrxO/shrYVPhENeMmxbexFmZZ/HmqTfRG+T/sry1nAC/APJivdORcWmaNK7YVbmL3oFeLnzmQpY8toSPSj7yyvsphjIBxKtWhKLC855AM0v3VsFW25k2BnsH3fJ4rWyT6pXIIC3imoTkou2zM7oDVazlXWZdOQuD3kDlbu/17G47I6okKlP+roMDgvnXFf8C4Lc7f0t1RzXzEucRFCTj58+3d5bxhyZebXNeNSEaHQ0rV0JXF5w8KaI0NlZWHPSGDtMYy2PAcdrAiQbJqTzZeJKS5hLT/rw82LhRHl9xhXmc+Uv8T8B7wCPAg8BfjftfsDp/ZHAkmVGZxmjiUObNk+1eY+Dprbck5cBVMwV3SE31ZsGWAVnZyQWWIUERy8IbSeQ9VKtnVsIst8+aFZ3F6VbtpnseKvLqedp72zlWd4xVGauGvPaFeV+gtKWU3ZUSSa9qryI1InVUnfOckRCWwKKURfx484/J+X0O7xe/z4GaA1z+78tNLa4V3mUCiFcVefUk3havVXul00zaUjtlyjY0dcsaakSwFqXVIe1f7YknFXn1NllrsgiJDeH4i8e99h6NJxvxC/AjMs18I3LLolv46dk/NXXNmZc0z2SGP1Kz+7FGE68NNrWGmpiNiTFHkT/+WLZpaSLgA/zly07LGbUUr/bSBuo66yhvLefKWVcCcKT2iNV7vveeREXzVh3lW+98i6jgKNIjtcjrXzCLm+8CzxofD13tSI9Kp6q9ash+kJuK2FhpIbt3r7gM3Hyz3aHDZu7coZZhnqMNKdJKQpb4ATZbvC55HzUdcHa2TdtAJ8yIm0FleyV1nXWIeG1g7Os0tDZuQWP8vmPDmbYzGDAwI37GkNeumHkFOnSmxgUVrRWmNq7e4mtLvgZIkemP1v6It294m67+LpOAVniXCSBeteRMZUvhCcZCvOr8daYCIGcYDPLFGOhnqVAcNSpoR4lX7xIYFkj+Rfkcf+k4HTUdXnmP2kO1JM1PIiDYOjq0acYmQPIHF6Ys5Kc/hZ/+1NzRabwTGSl55CUl1vsPGRuXzZljFq8fGVcWc3JCae8NISG0E7Cf86pFXjVhC3C49jAA18y5BsAq8qrR1tvGun9KA4z5SfMtPF7PALfbjNYZ91uTHZ1NYVPhEBsiEDeB2bPhwAG4/HK5nmiNEkZLfLz5c3serUI8CTD2vOUmzA4nVbT3BpEYlu4iT9iaFekrADhWdwwRrzD20ddu43YC2HOMAM2aKjl86HdLZnQmV8+5muePPk9NRw2fnfnMlJLkLb629Gv8+6p/U3FnBb88/5esyVpDRFAELx5/0avvqxAmgHiNRJaSC309kUmBt8VrxfYKkhckExjqOu9Kp5PCrCB/yy42jlrEqsjrWLD+p+vp7+zn9a+8TtG7RXQ1ejb/tauxi4jkof+Py9OXc/KbJzl++3HSItPIzISf/9x7bWG9QU7O0OXuaqNWys6Wgq3ERHj1VdmXnw/dA1FEh/TS0NVgN22gtlYinP4WJhuVbbIysTx9OTkxOaaOQ5YcqztGS08L31n5Hf599b+Ne9uATiS3vBu4xLj/K4ios7bFWpa2jJqOGmM0cShr10rUtboaXnpJ8mA9QUyM/Ay80yL2gHG7APle0RR3ImKhVUpVu86U0+guWlqGWDbNNe494nC8d9DEq5cKGnyMJl5TIux0zgCumn0Vnf2dpD6YSvdAN5+b9Tmvzsffz5/r5l1HYri45EQFR7E+ez1vnHqDvkHvWw5OdSaAeAW5sCifV0/gTfFa8HIBFTsqmHf9PNeDgQG9LJeGBiRY7E1FctJaLPYNIhdmlfPqbRJmJXDB7y6g8J1Cnr34WX6b8Fv+suAvtJS1eOT8bWfaCE+yb6M2I34GMxNmeuR9fEFUFHTYBKxbWiQPNCAAAgPFIxVEkMbGQpB/LKEBUtVvT7wePjw071f7Ek+NSCU9Mt1kC2SJttz/5UVfJiNK8xs7aNzOBUKAx4G9SARyEFuXDy3C1dht33T12mtlGxAAF19sd8iIiI6G/n7o7nY9dvhoQly7Yf4nsND4+FPgA7aXG1y20rUlMzqTvNg8vv/B9/mo5ChSq1Hk6jAPo91oTs7I69G6o/jr/E2+urZcM/caHjjvAZakLuHn5/ycDXkbxniGkntb1V7Fnso9Y/7eU40JIl4jkIiBYrR0Gn+M4a5tWIfNwX8dJDormlV3Dk2ot8eAXiYTHGDZGWoD8kW602Kf9n+vIq9jweq7VvONw9/g6v9czaIvL6KltIUnz31y1AK2rbKNjuoOUpbYj5xMdCIjrT1aQYSoJkpBCqrA3IHKTxdOaKD0YQ8LG2oT1dg41C6soauBkIAQwoPCSQhLsCsuNZeBtEjL3HPN9kq7uUwHlgKauLVOHYgPk5Stxi774nXpUnjsMXj77ZE3JbCHlt/rHbss7T9Iu5YEYrbO+g4wyEsFfWRGuW4La0mAXwDbv7Sd9Kh0vvrG1zAYZiFieCyZ3JHXwqZCpsVNIzzI/peXn86Pe9fdy76v7eOn6386xrMTNuRtQIeOlwvstJ9TeJQJJF69k4M31fCWeO1t76V0cyl5G/PwD3KvkcCgQSIFOl2Ixd4lSCOCHRb7bL9wFN4maV4Sc6+dyxX/uIJbttxCT0sPf1v+N2oP2/PgdU3NwRoKXpYqnPQVE8T/apg4Eq+WxVaLF8t2lfH+zl8XQVigdATS6SR6aynaOjqGVvA3djcSHyrCMiEswW7k9WDNQeJC40gIs1zV0HLJk2xG2xevWl/4hq4GDAYDTx16akhE6WtfgwsuGPL2o0L7eXmny1YH0qnPMq0pHVndK2ZQH8p7xa58ce2THpXOT8/+KaUtpRyujUZyXr2S++CAyS1e6zrr7Oa7jieSI5K5bt51/P3A31XqgJdR4nWKoS1relq81h6upb+zn1lXuG8vM6jXlrkscxgigbXA+xb7tP97JV59QdqyNG7efDMDvQO8fuvrdgt4nNFe3c5jix/j3W+/C0DKoqkbeb3xRrjzTrjvPnke4BdFaIC5La6tx6kj8ZoVHQMs4OaFJ6jpqKGr35yb3DvQyztF77A6Y7VFoRZILnk4Q8WNffGaFC4i95cf/xK/+/245dVbWPHECqc/A0+gRadPnfLG2e0VfuqAcwHo6hfBnhubO6KzXz/vehYkL+D1k/uQ6v9GysuHttL1DpM7baC+q970OzmeuWnBTbT2tvLM4Wd4fN/jSsR6CSVepxha5NUTfoyWnN4pVjupS9y3J9GbIgW2CbjzgVOYoxba/73KefUVqYtTufChC6naU0XhW8MrntREK8Cqu1a5Vcw3EYmIGCpeq6utWzFHRMDDD5vbyQb6RUvktUdy+qOjzZFXgwHa017DEGltHdfY1cjaLH/gCGdnf4LeoDf1fAfYXLqZmo4arp5ztc0MdwP2cooTkGvsYau96ZHpxITEsK/a2ndZ6xvvLbQGFWeGGiB4AEd+0d8CAthdKSHx3JiRiVedTsfXl36dQ7XikXb6dBk5ObBsmblBjPfoRoT45LPKMhgMVLVXTQjxuiFvA5FBkXzl9a/w9Te/zn2b7/P1lCYlE0S8hqPEq2fwVtpA0TtFJM1PsvLvdIXeoF3N7YnXdswFJiryOh5YeMtCYnJjePfOd03NBlzR29ZLwSsFnPW9s/hxz4/Z+OBGL8/Sd0RFiUDpMwZaDAbpPDV9uuNj/PzCCQvUmQShpXg9eOYEhus/x78CrKOdjd2NTI8z2zBEBmHs7iRoVlqXzbjM4ig98BmSU26LDjgbKd6y2KvTmdpgfm/1t6m5ZxPvfxHePPXmkDN4kkjjJcT2RsAzOLLcWws08frJNCKCIkwpEyPh/Nzz2WW83zhyRPJee3rgTe/+2JDIayjy/zm5KG4upqWnhSWpS1wP9jFB/kHctUo62AX6BfKbnb9hR8UOF0cphssEEa/RSPW53sU4hSs08RrmwZWl3vZeKnZUkH9x/rCOMxh6GNTD0I4wa43bE8atynkdD/gH+nPlU1fSUdPBe3e959Yxx144hmHQwKzPzSIgOMBmGXtykZMjW61ValeXuHskOQ0WhREaCC29LYCM1ey1jlZLtXobVVbNAhq6GpidaE4TWJAMpc2lpudvF73NzPiZpoIroRUphHS0MpIDDO2m9X/n/h/XzlnNbzb+geSIN7lgGpS3ercQKThYnBm8I15rkPxWe0RyqPYwebF5o/o9nRE/g/beKPoH/YAzpgYWJ044PcwDdDNZUwY0h43hukD4iv8953+puaeGmu/WEOAXwCXPXkLPgNdD71OKCSJec5GuKN5rWzlV6OiA0FDPVgcXvVuEvl/P9Ivth5gMBgM3vHQDT+x/wmq/jl769fYmohX0aF/YKvI6Xsham8WCmxZQ+HYh3U2uvYxOf3Ka0LhQMlZnuBw70dFyNSuMGtC9/PJoIoIMtPVIddL06dLoYHAQdpcfNI3SCqX0Bj1N3U0khfehFR0tS8vkg5IPTGMr2yrtRKi06qd47JOL2BFaN4NZm7WW/1xj7R4SHfyxsw/kEezlD3uGcsC+AHr+yPNsK9/G9XOvH9U76HQ6NuRdQE2HgYDAKqZPh+Rkb7a81ehmshZraUWJ1gWI4xedTkdyRDJxoXH8bP3PaO9r53i99zoXTkUmiHjV7F7Gut3e5KOz0/MpAwf/cZDw5HAyz7JvL7Oveh/PH32er77xVbaXbzft1+l6GdDbcyaIQiIISryORxb/z2L6u/o5/pLzi7FBb6Dg5QLyL86f1BFXDW25WxOt7uWXZ+KngwB/cXFISoKBARFuhyoLoFdOWtZSBkB1ezV6g56IIDkWYGlqLgdqDpgK6Wo7a+1UZWvdnhxFXtcZt/aiqq1ACjBId38AEUFlzj6QR4iKGn2XrWPH4IYboMjKbrUFGJoSMKgf5B/7nyQ0IIy7Vt81ujcGLpl+CafbDETEHWH2bMjKGgvx2sVkjbxONPFqya1LbgXgvSL3VqsU7jFBxKumtjzb7Wcq0tnp2WItg8FA9f5qpl8y3aFFltazHuDu9+42PdbRx6Bd8apDblhsxasq2BoPpC1NI3lBMnv+tMep80DbmTZ623rJWmffVHyyYZur6V7kVcRkoJ8U+GhtYNvaoKmnERpmEeIfasppPVInXZuigv2BGUAwS1LDaOlpYV/1Ptp72+no6yA5wla8Fhi3jvrtatHIKjuv1Rrn6UdTdwpZ0R1W7gbeYO5c6d41Gv71L3j+eXj0UW2PAXtL6z/f+nMC/i+AD8veo2/7dygrCmFgYHTvffnMy9lTqWPp/KOsWqUnO9sckfcekzfyWtZShp/Oz9TNaiKREpFCRlQGBQ0Frgcr3GaCiFftYqMaFYwWT0deq/ZU0VnX6VSgnG4VJ4IlqUsoby03CR4/XT8DekeV55biVVs/9EJnBcWw0fnpWPaNZdQerqVsa5nDcdX7JXkzcc7E+8IZCdpNoa14dX6zKL/T/YNSpWUpXtsGGqErgcyobCpaRfloDQOC/HuRCGIeGVHS1rWkuYRdlbsAWJyy2OZ9WpDCSEeRuUQkDaEA+AAos3itDs0btmcgmxnx5ha13mLtWrHKanOvLtAuhUZTjH/9Szp2iXWVgdOnzQLPYDDw+P7H5Ul7KoOffYPZsyEhAW66STtu+CSEJdDZnUNw0CAzZzWYxKt3Wt5qTF7xeqj2EHMS5xASEOJ68DhkccpiPq74eNg2gwrHTBDxqiKvnsLT4vXMZ+Jnk3+h42KtM21niAmJ4balt9HQ1UBhk3yrRIf00zPg6MvUNvJqayyu8CULb15ISEwIO3+z0+GYM7vO4BfgR8aqyZ/vCo7TBpz/vcnv/6BBVJqleO0YbICueLKjs0ziVbPUCtB1I2k00YQFir1BZVslJc0lAMxJnGPzPs1ArJN5+AMXAn8FNgKrjfsNQDFaO9XI4FziQuGzM585+1CjJsG4OjzS1AGDAT75RP5PmpvhiSdAM/F/8MEw7n3yFeJ+HceV/7lSiuHe/As/izzNG89mcsMNUtD6zDPwwgsj/wyDZy4BIHraFrKypN1tw9B+EtqMETeI0RQlT960ger26mF3PRtPnJd7HmUtZdR21nKq8RRX/PsKiprGun3wyHjq0FNW6X7jhQkiXlXk1VN0dAxPvBoMBk5/eprBvkG7r1ftrSIiNcKpRdbpttNkRGUwLU56Yla2VdI32Ed8qIGeAUfHaeLVgIhXle86nggMC2T5N5dT9G4RVXvtLTVDR1UHEakR+Ae613FtohMcDAEBw00bkGubn66X1p5Wk3ita+6i1XAG2rLIjs0ypQ1ollo6XReaeA3w6yIiKIKChgJOt57GT+dHaqRtbmsLEOPiE6xFHAlACre6kXzXJiRFARLCZhIeBPuqP3FxrtGhNXYYaYvY5mYRivfeCyEhcPvt8MMfinjtDqvg/5V9nuaeZl47+RoA/hXn8qVb/Nm0CZ59Vjxmw8Ph01EYKzSduBCAUy3vmj6P4yK0PyI3DP8d+RtO4shrbWctKRETt7nJWZmSrpP6YCoz/zST10++zg0v3TAhIrHfff+7PHv4WV9PYwgTTLyqyOtoGW7O696/7OUfZ/2Dzfdttvt61d4q0pal2X1N43TbaTKjMkmNkC/U6o5qOvs6iQuFAb0j8ZqO/H+34dhYXOFLVt25Cr8APw4/e9ju6+1V7USlR43xrHyHTieRPk1wVRk1fYrT71xRtmGB8neiiZyTdSXodQMENy8kLzaXus46Wntaae5pJj40DJ2uE4mkRqPTtXFOzjnsqNjB0fqj5MTkEOBnaz/XgPPIK8Aym+e7kIgtaC4FfjoJidZ0eDd/z5V4ddXAoNKY1ZCbKxFYgBdfFPEavEIE4s/nPy8vDAayft5Mk9UZiBvLuefCk0+OvNNX6bF5ADR1HzXdwHQ6jL88Ytw2jezNgMkqXgf0A9R01Exo8boifQUPX/gw02IlgJMXm8eeqj3sPO145Wo80N3fTX1XPVnR469uYYKIVy10oSKvo2W4aQP7/7YfgN1/2D3EGqm5tJmGggbX4rVVxGt6lFhglbWU0dHXQUgA6HSOLrbaOStxbCyu8CVh8WHMvGImR58/OiSCYDAYqD1cS1z+yM3eJyKZmebCnIoKCAoSmyTHyI15eBBUtFaQlycep4eL6gEIGUxiWZqIyv3V+ylqKmJVhvYlnos4c7QyK34WJc0lHKg+wMr0lXbe5yAwz8Xsz0UE7PeQa+65gNH/y/T3KOK1vPUzr0aNtK5k9oqcvvtd+Tm/8cbQ1/R6uOceWLBAni9cCEuWwN13Q1iYBD9q+s8Q9Ol9lL5xPf84/2149ChX2zYjA/7yF7Es+/Ofhz9/gwEOHpSb9Y6+IkJD5WfVZTf+sh/QfHqH173OmsmZNnCq8RQD+gFmJ8z29VRGxZ2r7uTUt06x69ZdHPj6ASKCIvjb/r/5elpOKW2R30slXkdMOFKBPsI1JIWJ4YhX/YCe+oJ64qbHMdAzwKu3vApA5e5KXvvya/x14V9BJ/mPjqjrrKO+q56cmByigqOYHjedfdX7aO1tJTgA/HTOcl5BUgdU2sB4Je+CPDprO2kutm4Z2lnbSWddJ+kr0x0cOTnJyTELruZmiItz5alsEXltPU1wMKSlwZlmEa9hJJgiTo3djRQ1FbEoRcshTkbEZCNzEmfQO9hLeWs5aZG2N5NdSAQ1D+f4AXuA3wAX2LymfXmJkF6c0kdLT4uL842cBQsk73TPHuv93d1mMfnyy0OPe/ddeOghefzFL8Jso975+tfhvPPk5ruz38Ca/AU88wwceOFiaJzBunVDz5WRAcuXw4cfDr/QqqAAystDaO8OJyyohVZ/6VxhP21gi3GbhrTwHSmTM/Ja3S6Fn9kxE6NBgTP8dH6sSF9BVHAUN8y7geeOPGeywRuPaN301mSt8fFMhjJBxGsAYtXida+RSU97u/vitXx7OYO9g2z49QbO++V5nHrzFD/X/ZwnVj7BwX8dpK+9jyW3LiEmJ8bhOfZWid/Numz5dkiNTKWhq4GyljKC/SE80FFkTonXiUDWGhE1FZ9Y/202l4qYjcmNGesp+ZToaLNAce9GUcRGeKCIUxDB29gjntYRukRiQ2S5v6WnxdigQLvhCwdmAv1clD/TdMaFybY3k1qV0HBcH55CIrAa2vmz0Rv8yYiCynbvOQ74+4uIr6213n/6tLRaBdhsk8m0Zw/8+MeSd7x5Mzz1lPm1GTPg97+Xn0NzN/zguvUMDMAf/wgXXADzHASlr74ajh+H0lL7rztCczoYGEwiJRxagsXirNLuj+w/yE3BeuxblbmL1h52cqHdJMWExPh0Hp7m2yu/Tb++3+vtlkfDqcZTpESkkBfr6sZ37Jkg4hUgA9Vha3S0tckXa7qbwbCmYsm/Sluaxuq7V1stAX/z5De5dfetbPrrJqfn0NpaassOcaFxNHc3U9JcQnAARAU76p2pFZxo4lXlvI5HEuckEhITQsUOa/FatUf+3+NnOOroNDmJiDAXajU3Q0yMqyP8gFCigwNMRuxxcdDgf5iA/lhSohJNX9rN3c00dTcRH6rZBYUD4vKRGmluPTk0SmLsN4vTPrU2RAK/RiKwX8f8VaFDb4giNhS2lG5xeLQnSEkxt8rV0J6vXy8Rbm0ZfmAALrpI8lMffFDyVYf2xZCitzNt/px/lvn38i4nPQlWGZuLHTo0vLlrHrVhQRkkRfhxrHMrIOJ7KKeBRUheccvw3siEfQ/byUBrr6y4TjbxOidxDqkRqWwutV9P4msMBgN7q/aSG5Pr66nYZQKJ1yjMfp+KkaB1eLEsTHBG2+k2dH46ItMiCQgJ4OsHvs6Pun7ET/U/JX5GPOnL09H5Oe+cpPlBasVacSFx1HXWUdxUREgAhAXGODgyDIm4t6FyXscvOj8dmWdlcvoT62/l6n3VRKZHEj996orXpiaId+vjh5EWFWtqQBAXBx1+Z/BryScn24+IoAj8df6cbjtNv76f2JAg7d3QclChkdevf53vrPyOnS+bk8btjGF+Gh3wHmKfZSbAL4H0yDCTp6y3SE0d2pWqWFbfTTmqW4z6eccO+Xk/8QR8+9uOzmiOQAf4+1FSIm4CF1/seA5z50rax3DF63vvwYoVEByUxfQ4f8raiggONv9umKlDnB3ykWveSOs6+hGbrckbeY0OjvbtRDyMTqdj47SNVrZzLx57ke9/8H30htFYpnmG+q56DtUe4spZV/p6KnZR4nUKoXkMJrkZgKk5WENMTgx+AfJrEhQRRGBo4LBafe48s5PZCbMJ9BeP1lUZq6jtrOWNU5KwptM5Mp3WIdGfDlTawPgmc00mDQUN9LSYo3+tFa1O00kmKxERkpc5OAj19SJEXRNOcni4ycs1ORl6aGGgM5qkJPmSy4rOYkuZKLXY0CDTceZWp41cNvMyHrnoETt/n8XI39NIlv7s/a2nkB8XYPJr9hZnnSXL9ZbRykOHJBf2ppvk+RHR+7z3nqQaXH65szN20jeoIz5Mcohzc82RVUeEhcH06cMTr3o9nDgh4hXmkxLRz+nWI4SGGey4DWhenwuRyHgvZoeH4aBVgk0+8drU3YQOHZHBk2/1LTcml+qOanoHetlRsYNr/3stv935W3ZU7PD11CioF0eRoZ7R44MJJF4jUeJ1dDQZXVhiXTnmGKnaU0X22aNLki9tLmV+8nzTc83vrr5LSwEJdnJ0BGarLCVexytaUVbpFkkMHOwfpO5oHbG5bv6iTSI0G7pTp6CkRKrdXRNGZJC/KW1g/nwYDGhF3xVtsoxanLqYo3VHAciKTjAdJ+I1EOf1AJpNlqeafCwiL7abwkbvildNWB48aN536JD8fKKjReSfOCH7T58WBwLnOcaddPbBkpQlw5rH/Plw9Kj740tKJD1L/u8lCq43nCYo7YQdt4F64zYJyDE+LhvW/ATNCWbypQ0cqz/G9Pjp+OkmkFxxEy2X9GTjSb782pdN+585/IzX33tL6RZueOkGh93yNpduxk/nNy6LtUCJ1ylFs/GG3p1oUG9bLx01HcTPHPmyr8Fg4HTbabKizDYbCWHyxRtk8q13Jl7TEAuZHpR4Hb9krc1C56ej5kANALWHa+lq6GL6puk+ntnYo4nXk8aVekeFQNaEERHkR3N3MwP6AXJzgZAW6IkxNS2w7C4UY0ob0FJrFgDOQoNNmCO0niCJkIB+OvqaTe1qvcEcY8BHE44GAxw+bL4hWLdO3AVA0glcpUPpDa209xmGbfuzeLGcv8rNWqoCowWu/N+LT1pKBPil73ciXhMw+/COxFVHE6+TL/Ja2VY5LguGPMHKDLG1u/I/V1LUVMTTVz7NebnncbjWvne2J/n1J7/m+aPPc/m/7S9XnGg8QXZ09rjNNZ6A4nX8d6QYrwwn8lq2rQyAtOXOPVydUdtZS89ADzkxOaZ9caHyJRrslnidBWht6aaW5dJEIiA4gJjcGKr3SzVN5W65k89cPXHbOY4U7cZQW852L0UnnPAgAwYMNHY1kpYGhLRCT7QIWSAjytxiNyzQAIQgLV1Bihsd9h1FxKsnc4/lQ8aF4tXUgagoyM42i9czZ+QGXBOvq1aJG0F1tTgCzHGxutk/WENjl/kG2l3WrBHhfOyYe+M1kZuZCVrhaW5MAIOJB+2kDWjiNZHR+ZlrqnjyRV5be1snXb6rxvS46YQHhlPSXMLGaRu5cf6NzEmYw7H6Y/QP9nvtfbv6u9hWvg0Q/+j3i98fMqagvmDcpgzAhBKvycAA5spZxXCprJRlNXesshoK5MswffnIRaPmX2cpXgP9AwkNCCXY1ADImXi1NKVeOuJ5KLzPtAunUbq5FIPeQOWuSsKTw4nKnDrdtTQ0AbV1q2zdE68RRBqXIg7XHiY0vgGCOqEtg7lzZcSK9BWm0dIa1lKkJGAWQfaow7ORVwvx6uXUgblzzeJVyzvVGhCsXy/bn/1MnFS0n5UjBg31NIxAvOYZg35asZgriook/1aaU0wDQjknN56+uIMOIq/hSMR0NOJ18kZeW3paxm30b7TodDo2zdiEDh13rrwTnU7Hubnn0tHXwZ6qPa5PMELeKXyHnoEe3rrhLWJDYoekKQzqBznVeGpcN4aYQOJ1kXHr5u3vFEavlwvtzTdLREKjoABmzbJnITOUlrIWQuNCCY5yJi6do4lXW3Pp5696ntuWGisunF5sv2jxePzeASogeX4yA90DtFW2Ubm7kvQV6cMq7JssZBlXpLdtsxQwroggNHAQEO/UxkGjqWjzNFPk9azMs/j87M/z4U0fMrSTUgKOI6/9yDXTrfwFNxG/2KxondeLtpYsEfFaWQmvvy7XLk28LlsmRV1/MzYpchV51RvqaewWr+nhkJYmNyH2OnrZMjgI//0vbNggfrMSHU9mWmwkndG7ae+1FaYNmP13VeTVHi09LZM28grw3FXP0frDVi6eLrYX2o2q5pHuDbaVbyMiKIKN0zZy5awree3ka/QMmAtuS1tK6R3sZXaiEq8eQAthOFsemzps3Qpr19rvu/2jH0F+Pjz9tEQjBuV7kZMnRby6Q9WeKhLnDsfUfCgm8RptLV6vmHUFP1h7s/GZs37V6cBrwLNAkJNxCl+Tskj+H0++fpKGEw2kr5iaaR4REbKyMTgo4irUrUBYBAF+8sXR1N1EW28bADdfG2PqzhXgF8BL177E+XnnY1+8dmMWMJY0IALWk16NK4FALp8Z5XXxeumlcjP+j3/AM8/A9ddjygMGuOIK2fr7i9B1hp+uiaZuWJ62fFhz8PcXa67Nm6HVRTrqc89BWRl85SuWexPIiYliIKCNBj/bXMZ6zHZnmni120PWAZsRRwjt/2EYvb8nAN393fQN9hEdMnnFq5/Oz8pJIT0ynRnxM3jjlBt3SyOkrKWM3JhcAvwCuHbutbT1tvHS8ZdMr++plKivShvwCJqQUuLVYJA7+08+gUWLhr7+619bP//4YzHzPn1abF/coamoieSFboWNHFLYWEhSeJIDixOtwtFVTu3lwA2jmofC+6SvTCc4Ophdj+wCA1NWvIKY64M5QuiaCHR04q/zp6m7idpOaSv1w285unnsxFqkaOLH3rVxJN21XBGBRBPDvZ42sHy52FX99KfSiOC++6xfv+ceePttiXRHOc1SGSQkoJuegXBCA4e/tP75z0tnrzddNEP66CNISDD70ArxRAdL/mJdf4nNEfWMLvL6R+P2RZtzTA6KmsRKzDYAMpnR6XRcNuMyPiz5kNdPvu6V9yhuLjatiJ6fdz5zE+fyzXe+SWFjISXNJTz82cOkRKSwLG2ZV97fE0wg8RqL3GE6y+2aGhw+bI6mhtlZJUpMlJ7eWsXz++/Lxd1gkGU2Vwz2D9LT0kN44uguhEfrjzIvydFypeYcMXnvqKcSOp2OjFUZNBU14R/sb7LPmopoovW889w9IgKdroPY0FiaupsobxFnfssiLWtsI6+a+LF3bdTE6/DyPF2TQFpkEIVNhRgM3iui9feHjRvl8fe+J9c129cvvliKqpzTgp8O9IaR2betWydpAJZpWPb45BNZEbPOmEkkJKAZfwLpiNxPZ5elAb2leA1FvuOGdDJwgnaN1gpuJtf1tLhZEo1nJbi5ZDhJuHftvWRHZ3Pr67fSO9Dr0XM3dDVwvP44Z2WIGAjwC+DPl/yZ1p5WZvxpBtP+MI191fv40dofEeAX4OJsvmMCiVd/IBso8PVEfM6nn8r28suhr8/6tcFBaUZw9dXSz/vSS2UpS+vN7Y51T2u5rI2NtuCmpqPGiS2NFl2YXJGCqczGBzeSviKdc+8/l5BoR80nJj+/+hXceqsrw3xLIoB+8mLTKGoq4sPSD5mVMMuJKbu9tAGwH3mtMW6H0xrWHRKID4O23jbqu7wbULjvPrjkEvmZjpRBvUSzY0JGZt8WFAQzZ8Lu3fZfr60Vl4GiIhGv1sxDpzvD0qhVcNZD5P05neImrfrLMufVD/m/rB3GzCw9OoOQNuqTB627luZSM1WID4vn8csep76rnldPvOrRc2vpfJYpAetz1vP+TXIDFOwfTPG3i/nWym959H09zQQSrwBzMXckmbrs2iUFBGvXihm2ZoEF8thgkOgrSPSnvFz6fUdGuldA0lQsJ4ybNroLRktPCzHBMQ5e1cTr5KuOnaokzU3i1l23sub749PUeqyYOVOKiOytithHCogumjafrWVb2Ve1zxQVsU8X7qcNnEAu8572yUwgKljunE+3nnYxdnQsWQJvvYWpeG0k1HdKN4O0yJEXrm3cKClYtgGDnTslVWT1anl+9tm2R4oNwsXGQpy6rhoe+vQhoAr5v7S0lEvHWpC6og2Yjwjgn2G/I9rERWvcER82tdpMA2zI20B0cDT/LfivR8+rdfKzDSxtyNvA9i9t59Bth6wcgsYrE0y8xjGy1nmTi8JCKcTS8l0PW9QAaB6DWt6ddkEtKYG77sJUAOKM5mL5GcdOG3mHpEH9IG29bU4sTjqR6NHkutgqFMMnB4CVGWn06/tp7W3lxgU3Ohmv/e1oaOLVXgS0CrEZ9HQkPJ6QAFnermq3du9/dM+jrP/Xetp7x0dTmX8d/Bc/3nIVAEnhbiciD2HNGujthQ8+sN7/hz/ItqJCfH6HFo5JCs3GjFXw1p9YkXgeLxx/AYNBayyx1GbscMRrB+LEUgf8aBjHTQxKm0uJDYklKnjq2e756fzEYaTkQ4+m5mwp3UJYYBgz4mcMeW1d9jpmJsz02Ht5kwkmXmNR4hXq6iSCqkVRGy2a3JQY6wE0b0LLC+ndd7t3/qbiJgJCAohMHXkvaa1i2nGVqG30SKGYqsjfyIJkc2jx3JxznYy3TRuIMW5b7IytwbPFWhoJ+OvaCdDBgZoDVq/c8fYdbC/fzh92/cEL7zt8Xjv5Gmszob03nAXJN7k+wAGXXiq5rHts7Df37zc/vuoqycO1Rgpj4uOLYc8dbEi6kYauBkpbPjO+blm0mgAMp2tZO9LAZ3JS0lIyabtrucPK9JW09LTwUelHHjtnUXMRsxNmEx40sb9/J6B4bQMGfT0Rn1JXJ2kDWqesZgs9Xy61HqZWicHBYjHzwAOY+qS7ovZgLbF5sej8Rh4VbeqW1APXkVeFYqojfwfpkTFsyNvA45sed+GRa3vj5wdEMVT0DCJtYz1pk6WRgE5nYGXGDCvxWtJsrqbfX7Pf3oFjTnFTMWuzookMPosg/5H7VoeEQEaGOUAA4oBQVibFZG+/DY8+au/IOGAa8fGSMLsi4ipCA0J5u/Ax4+uWdoHDDdB0MJlbZ5c0l5Ab643f34nBjQtuJDo4mn8c+IdHzmcwGDjRcGKI9/pEZIKJVy0H03v9tMc7AwPiNRgfbxavtjmvOp11C9gbb4R773Xz/L0DlG0tI2/j6O52D9XKkphjnzhbux+FYqoifwc6XRcf3PQBX136VRfjbSOvAPmYvT41tgCngas8MUkbJFVhUUoGh2sPYzAYKGku4ay/S67u2qy1vFzw8pDOPWNNY1cjBQ1HyY7pxBONGubPF79XbRX344+hv18svS6+WGtMYI+ZhIVJ1ayhJ5ofrv0h31yhFWZZ/l/GIoLUndagBuPYyRl5HdQPUtZSRl7M1I28RgRF8IV5X+DVE6+a0nCq26tZ/ffVpPwuhY/LPx7W+UqaSyhrKWND7gZvTHdMmWDidZpxa8eZf4rQ0iLb2FgxQw8IsI68traK36E7ua32aDzZiEFvIG2ZK/9V52h5cLkxju6am/Bsy0qFYqKiiRd3zOn7jf9sxWs6ZmcBjZeRqNzVeB4Rr2dnz6GkuYR91fu49LlLqe2sJTwwnH9d8S8AbnrlJlOBiC8oaCggN8ZAkP8AnhCvF10k3b5qjbpTqzfQWtU6Jofg4CKCgnrp7IQfGS0JiptsXSC0qEOLG7NpRQTs5LLH0qhqr6JvsG9Kpw0A3LLoFroHunnm8DMM6gfZ9PwmPjvzGbWdtVzx7ytMjgzucKpRtJNjC8uJwwQTrznG7XAS2icXluJVp5PWhZoNFoh4dTc9wB5lW8sAyFrryOLKPbQ/KMdpAzU4766lUEwVNCHqjjm91uLJNtoWY/GaxnFgAd5x9BDxujFPkupfOPYCJxpOkBKRwqHbDjEtbhovXP0CIH3UfcXeqr3caKrRGl5nLXtoLWg/M6arbt4sTQkSXaYVn4u/fzsLFhymsxMC/LczqIerX7Bd8tdu6JtsT2AHLX9hci6rl7bIF9tUF6+rMlaRGZXJW4Vv8VbhW+yv3s/jmx7nw5s+pLmnmQ+KP3B9EiSS/c+D/8Rf58/85PlenrX3mWDidTh3pZMTLcoaEyPbtWulAYGGFnkdKY2nGgmJCSEmO2bkJwGau5sJDwwn0D/QwQhLf0OFYioTgrhuuBN5PWPc2vp5RjNUvBYA3jJ3F+uimNBBFiQv4Lc7fwvA3y//O9PiZIXs6jlXkxGVwfaK7V6ag2v2Vu1lSUooYhU2+i/sNWvk2vv225I6sHkzfO5ztk0J7CH+sjk5ZXR2DgC7aepO4WBtCc3dljmu2necO3mv1cbt5PJ21dDyp6e6eAW4Yf4NvFX4Flf8+wqmxU7jlkW3sDJjJWDuQnam7Qwbn97IgeoDQ45v621j1p9n8eLxF/nOyu84CSpNHCaoeJ26jgOaeNVyWpcuhZoas+PAaCOvreWtRGePfhmqpafFxR+IchtQKAQdEn11J/KqpQak2uyPwbyMDGKbVYcnlsrto/luNnDp9EtNe9dlrTM91ul0zE6Y7fUWss6o6aghLTIQza5qtISEiIPLgQNijdXRAYsXu3OkREf/9revctddgcA7dA+ImC5osGy8M5zvuBbjNsadCUw4SppL8NP5OWl0M3X44dofMidxDhlRGXx080cE+QcRERRBSkQKhU3y9/Wfo//hg5IPOOfJc+gZ6LE6/r7N91HUVMTty27ndxt/54NP4HkmmHgNQbqItPh4Hr7DVrxqF86dO2VbWeleIwJ7GAwGqvZVET9j9IbQjd2NxIY68ok1IOJVNShQKIR43Gt9rUVnbW/8ogE95rbLWuMAby0phxn/NXDXqrsI9g9mccriIV3BZsTP4FTjKa+2kHVGfVc9ieEGPNlhbPFiOHIE/mv0jned7wriBnERMTHm6HiA7gYAjtdb9pzVrpnupA20GLcx7kxgwlHcXExmVKaT1bupQ0xIDAe+foCSb5dYOQVMj5tOYVMh+6r28d0PvgtIlHXn6Z1Wx79V+BZXzrqSP1/6ZxdOJhOHCSZedUhO0HDa500ubMWr1qigqEiqXouLYdYIVwq7m7rpqO4g86xM14NdUNJc4qRYS+vVrMSrQiFk4F4uf7dxa/u3oy2takKoxbgdeaMR18QBjSSGJ3LqW6fY9qVtQ0ZMj5tOa2+r11vIOqK9t56UiC40r1VPsHixNCv4v/+TQMHcue4e+Q0ADhy4Gnia5IibCPYPpqDeMvKq5bwOJ/I6OQu2TjactGukP1UJ8g8aIuSnx02nsLGQb70jrVy/ufybBPgF8H7x+6YxeoOeitaKSfeznGDiFWAFsMPXk/AZlgVbIPlXISHSWauuDgYHIXOE2rO1QqICURmj72ZS2V5JZpSjiTj6AlYopiqJ2G/vaou2HGj7t6OlB2jts1uM25hRzco5kWipDlnRWUOiroDpC9MXqQO9A72EB9UR5D+IdRer0bFqlWxbWyUH1n0u48Yb3+cvf3kK+CL+fv7MTJjJwdqDFmOGmzYQAozcu3a8YjAYONl4kpnxE6Pbk6/Ij8untrOWT898yhUzr+Dhix4mLzbPym/5ZMNJ+vX9ky53eAKK1zlAOVO1UUFzszQeCDF2e9QcB6qqJPcVzK1hh0vDCWMf6ZmjSxswGAy09bY56a6lxKtCYU0Y5r8LZ2hjbNu9an/0Wk5si3EbM6pZOScc8Rl1jCZeNYsez+K8wO1U4yniQrXvCc85m0ybBvfdB+ecA88+O5wjdezffwEtLebr3kXTLmJz6WZONpw07glEfq7ueJmfwJMR5fFEdUc1HX0dE6ZVqa84P+980+NNMzYR4BdAYlgiDV3mG2EthcB5176JxwQUrzmIz+ExH8/DNzQ3WzcgAJg5UwoINPGaalvL4SYNBQ3o/HSjznntGehhQD/gpB+1Eq8KhTXuFmw5irxGGvdp4lWL3HlzSTkCV+I1OyabAL8AL4jXvcb3/77DEY3djSSZUoM962xy//2wZYs5iOAu4eHQafHfrDWkeOPUGxajZgKH3ThbCeB2zsKEYkvpFgCWp43e3mwyszxtOWGBYrV3Qd4FACSGW4vX0pZS/HX+k65T2QQUr5uQ3NfXfD0Rn2BPvC5ZAqdOiYAFyM8f2bkbChqIzYslINhhmxj3zmP8w4kPtRTBFUCf8bFWjODNfDyFYiIRhntWWY4irzokuqjVAxQif1++Fa8BfgHkx+XbVNR7gueQws/f4qgbVUtPC6kmG1XPFWyNhogIcSjQyI/LZ3rcdF4ueNmiqG0eUOzG2VqYrI1ejtUfw1/nz5LUJb6eyrhGp9Ox/2v7eeuGt0yFXIlhiVR3VJt+n/ZU7SEnJocAv9F9r483JqB4TUf8+nznHehL7InXjAzJdf34Y0hPl9axI6G+oJ6E2QmjnmNtp3yBJkdotgcHkOUtLUpSZ9yOjy8UhcL3hGNfvP4a+JHF824gwPjPlmTMkdcSYAYiar1FHO7k6S5MXsjBmoMedhywbItpv4C3ubuZmQmgN0QyXq41tpFXgFsW3sKnZz41mfJDGuLhqndxtmYmq9PA3qq9zE+er5wG3GBmwkwumX6J6fmC5AU0dDVwpk08ofdW7eX83PMdHT5hmYDiFWAd8ClmT8OpQ3OzuUGBRrrRwvD994deGN1FP6Cn8VSjR8RrTYd8gSaHa+L1E+NWq4BU4lWhsCYMWZkYsNhXA/wQ+BXmv5keHKfbpGAWr0fwfge7HKRpQp/TUeuz11PeWs6xek+melVjjjrW2R3R0tNCWgQYDBl4V8S7jz3xenb22QAWea9pSDTZmatOD3IjE+PpKfocg8HA3qq9KmVghMxNlFSSwqZC2nrbaOpuIicmx7eT8gITVLzmIflhth1lJj8tLUMjr1r1K8Ddd4/svM0lzej79STOHn1uWG2HbeRVa19XgESRlHhVKKzRWsRaFm1Z9H1mv3HbaTHWFk28fmLcLvLg/OyRigQQnHuSap2AzOJstOgRYTfb+LzF7qjazlqignX46caPlZRt2gDAnETpOXuk7ohxzwrj1pmrjubjO3pbw/FGYVMhzT3NLEtb5uupTEhSI6Xo5VjdMVO3rUUpi3w4I+8wQcWrJoqmnt+rvbSBxETo6RHvwfvuG9l56wvEh9GjaQOmyKtl/tavgM3IF7DqsKVQCJogtVQ2lkvyFcZtDebrny0pxmM00fN1j83OPlpBZpvTUdNipV2spX3P6GhCItRzjM/tR15PNZ4iITwYnW701n+eIiIC2tut98WHxZMRlcHRuqPGPVqF/WkcU27cTj63gReOvQAwKZe6x4IZ8TNYkb6C3336O3ZV7gKYlLnDE1S8au3i3Elqnzzo9fYjryD2WUFBIz+3ZpOVMMsD4rWjlqjgKEIDQ5HITBnwRUCrJHsfGP37KBSTB22Jv8piX7XFY21/DY7TATRR+zdgmpNxnsI98RodEk1caBzFzZ66XmupEWcjub9H7I6q76onOtgPcWIYHyQniz9st40rWnJ4skWFeDSSGlKFY7SfQZrH5+hr9lfvZ3rcdKbFTfP1VCYkfjo/bl92OxWtFfzgwx8wI36GxSro5GGCitcFxu0hn85irGlrA4PBvngdLQ0FDUSmRRISPUzvFzvUdtZaRF0/RZY6L0AqoH9r3F9t71CFYoqiRdAqLPYVIBHZRMxCph3HDgJao4JiRNh5O89TE6+u07emxU7zgnjNRgS7/WtJR18H4YF6xpN41eoTqmx0aUJYgoV41SHpAM6+37QbhvGTEuEp9lTtUSkDo0TLowa4beltPpyJ95ig4jUasYE54+uJjClaa1jbgi1P0FDQ4JGoKxjFq+lOT2tXqf0x3QPchbl4S6FQmEWI5ZpyHRJZy8AsXrsZapOlYVngMhatIN2LvAJMi5vmwbQBTbwmA/E4MvRv720nLHCQ8SRe44w1ZlqnRA1r8QpwHuJl6wjthmH8pER4go6+Ds60nWFB8gLXgxUOyYqW1ens6Gy+tfJbPp6Nd5ig4hUkGuGbftm+otDYYTHbw2lOAz0D1BysIWWJZ5YZazpqLCKv+5H2hVphgQ54CDjHI++lUEwOtPxvy1L0NkScpGEtXh25DQQjxawAl3t6gnaIMW5dd4PKic6horWCQb0nOiNq4jUFST+y//79+jbCg/rxdIOC0RBu/G/usnFFy4jK4EzbGXoHeo17spFCNEc+um1IN67J1RpWc6pJjRhhpx0FAP5+/tTcU8POr+ycdP6uGhNYvKZhXY07+Sk2rrrNmuXZ81buqWSwb5DsdZ5RxbUdlmkDHwPnAv4eObdCMTnRxKulqrEnXntwHHkFida9jrmYyZtkIuLJtYvAwpSFDOgH2F+93+VY19QgAj4SEa/2C3djgrWIcI4H3tMzhBnr8mztsuYnzadf328RndbqOk44OFMrEq0fHxZgnkITrykR3s7XnvwkRySTFjn5cqI1JrB4XQPsw5XH4GRCq1KN9nCaU9G7Rej8dWStzXI92AV9g3009zQb0wYMSFXs9FGfV6GY3GhuA/Yir+lICkE3ziOvIOlUl3ljgnbwx2yo75x5SZKPazbiHw1HkQizDsnzLcI2daF/sJ/QQC2KOX6KQzXxaht5jQuVfILWXi0dYJ1x+wn2aWAyerxqNotKvCpcMYHFaz4ijh7y9UTGjPZ20OnMF0BPUbG9grRlaYTGOftSdI+6TrGtkchrK5LDN/nsXBQKz+KPRDFtxWsksBS51u1BbtZH/3fqOWJw5LNqibYMXNXurILeXQ6yo2KAr7z2FcwRSusUssKmQsJMzZk8fMEcBY4ir9EhEpFo7dHEaxoizh2lZJxibPKaxxZTg5tJWB2v8CwTWLyea9z+BuuuNJOXjg7xCdR5cKWor6OPM7vOkL3ecykDoN05a16Eo4/oKhSTH8sWsQZEkMVhvvnTopajdwTxHLFIm1LnxIXGEewfTGnzaCOvegyGeraUneQfB/9BXacWXbV2PKhorRiX4tVRzmt0sIjXlp4W4x5/5MbAUQOIBqRJxOSitrMWP50fiWHjJ09ZMT6ZwOI1G3gKuXAe9O1Uxoj2doj0cOFs2bYy9P16pm30jKdeYZNUlWVEZWC2/VGRV4XCNWGYI6+VyKrFbMzL3kXGbczYTsspsbgTedXpdKzNWsv2iu2jfL8mdDo99cYf055KYxWrjXht7m4mdByKV0dpA6bIa6/l54jC2n3Cki7G0+fyFDUdNSSGJeLvp2okFM6ZwOIVzHlB+3w6i7GivV0ir56k+L1iAkIDPJLvCrC7cjehAaHGdnSTtwuMQuF54jAvE2sV9RmIHRSITzKIYBwvxCEFUwaXI+ckzqG4qRiDwfVYR9R0SEOCnoFI0iPT2VqudaWy7kbV0tMyLiOvmni17bKl5bxqy+ZCFI5tyLoYX+kjnqGmo0alDCjcYoKL12zkQn5gGMdUAY8g/bEnFm1tno28GvQGCt8uJOecHAKCPWOnUdJcQl5snvHOuQzJ41NLQAqFa1Iwi1bN8zMBCEKEzHgUrwsRwe3aczs/Lp/2vnbKW8tdjnXE9rKXAPjh2t+xIn0FLx8/gcGQArxnNa6pu2lcitegIEhKgooK6/1hgWHkxeZxrP6YxV5HTgp6oJfx9Lk8RW1nrSrWUrjFBBevOiRpvcjVQAuuRkzyn/DKjLzJ6dOQkeG58xW9W0RzcTNzr5vrkfMZDAYO1R4iP05rA3sC6dM9wX/NFIoxwZ541W78EpAiHRhf4jXHuLVXiFWNZbX8OTnnAPBJhaMKetdUd0jXqbzYVazJXENJSxkD+hxsHQ8qWitICtPsx8aXyMvNhXI7+j05PJnGLssCrVzs20FqvWXH1+caLQP6AU40nCAvJs/1YMWUZxKoimzkou5OJLUXc9eSAq/NyFtUVHi2QcEnv/mEgNAA5l7jGfG6p2oPZS1lXDnrSuOeIpRNlkLhLkmIJRaYxaCleNUM68eTeNWWeO1FCG8G1iLWVpAXK6LkdNtpO2PNVLVX0T/Yb/e1yvaDxkeJ5MTkANDdH4htzmtZaxnpUZqn4PhaXo+JGZo2ABATEmOT85qD3Mx024zUEmbH1+caLadbT9PW28by9OWuByumPJNAvJ6H5DsV2nmtB/gm5rvXI4B2UayzM378YjCI20DUCLsBlm0to/aw+Qum9nAt5dvKWfP9NQSa19dGxWsnXsNf58/F0y827mllfH3RKhTjmXjkmtWFFKFmYW4ba+lVOp7+ppKMW9vr6SDwofHxOwBEBEUQExJDRavNmrkFhY2FZD6cyR1v3zHktbrOOkICNAGfQGa0dO1r6/NjiHhtKSMnJgT5mY6vDkMREfbFa3RItIXbAJhrBfbYjNR+BuOn7a0neKlAUkLSI9N9PBPFRGASiNclxq29SOpO4M+YC7sOGrfpSD7mxKG3VwTsSDxeiz8o5slzn+TpjU8z2C/tGYvelVSL5bd77i63qLmIvNg8ksK1L7R2JlvvbYXCe2iFWY1IxC3T4jVL8erhLiWjQvtbt4y8lmG+LoNlQe2ilEXsrtzt8GyvnHgFvUHP3/b/bUhh19OHniYxHAb0UUCgqX97U7cBEc9ybWvubqa4qZjMqADGo51URIQEImyJDo628HkF88/wOZuRWhHX5BGvx+uP870PvgeYG1ooFM6YBOJV65VqT7xqd6xaPtQppIDoIsz5YxODbuPK0UjE696/SKpEZ20nv034LZ31nRS+XUhMbgzhSeEujnaf6vZqUiO1Lws9YvszeS6wCoV30YRgDSIGU+y8FsP4arUcgtygWkZeHwQOI9fa1VjmbU6Pm+40beDNU2+aHh+pO2L12jtF7zAzPpIAP/m5JIUnEeQfREF9BHKjfIotpVuI+00cg4ZB0qMiGF+2YkJkpIPIa3C0TdrAPKRBxXGbkdrB4+vaWtxUzNxH57K93H07NIPBwKnGU/xqx68A+M/V/yE9SkVeFa6ZBOI1ErGTsSdedxm3euRutRhJgs9GCiImTmtZzRcwdJhpTgaDgcrdlcy5Zg4hsSH0tvXy6YOfcnrnaeZc7dn+5xWtFRa9lCfn0pZC4T1yjNsyRMBaWgZpVnbjKWVAIxnryOsHiGg9jAiwMtMr8aHxNHU32bXL2l+9nx0VO7hjuaQMvHXqLdNrh2sP81HpR6xIBy0i6afzIzMqk5ONWk5oNY/segQQW67IoCDGY16oo8hrTEgMfYN99Az0WOzV2qBbNuIZn+L1sX2Pcbz+OPe8f4/bx3ztja8x808zeebwM1w/73qunXutF2eomExMAvEKYuRte3cK1pWahUgawULMRRANQ44Yr2jidbiR1zOfnqG9sp38i/K5u/JuEucm8smvP0Hfr2fm5TM9Nr+q9irKW8tZkbbCuGfyLW0pFN4l17g9iHRWsoy8rjdukxh/WBaaGZDmJKsRJ5gc42vSVSAhLIEB/QBtvUP9S58/8jwBfgH84rxfMC12GgdqzBaI/2/H/yM6OJLo4G7MPyfIis6ioEE6fHX2FfPWqbf45vJvcuQbR9Dpuhmv4rW/H/psYidDW8QCzEVyoC39X8eneD1aJ4V5e6v2cv+2+12OH9AP8PzR5wHw1/nzpYVf8ub0FJOMSSJeVyBer5U2+09jzhv6FLkArMf8peC4cGC84U7aQFtlG/uf2E/Ru0UY9AYKXing+cuexz/Yn/yL8wkMDeTzz3xezpMYRsZqz/lulTSXADA7cbZxj3axTbA7XqFQ2BKFtIh9wPjcMvI6H1mOf3qsJ+UGlpHX00h1vFZspAlN8YaKD5O83oauoYGD90veZ3XmamJCYliWtozNpZsxGAz0DvTy6olX+frSz6HTDSA1C8LM+JlsL5di3QM1LzFoGOTmhTfjp/MzzmM8tdIVEoyXxFobgwatRax16oCWB23ZJnZ8iteTjSe5dPqlnJ97Pg9++iC9A71Oxx+oPkBnfyf/vOKf1H63lgvzLxyjmSomA5NEvJ6PpAacsNjXhRQ+LDY+/5NxuwFYZnw8cTpzuUobGOgZ4Pc5v+eNr77Bsxc/y/vffZ+Xb3iZ8ORwbtl8C5GpcqFLWZTCN09+k6/u/ip+/p777z9cexiAuYma7Zb2f+HZ1ASFYnJzn8VjS/GqA+5mfFrPJWEWrx8Yt+cZtznGrayCzYyX1R7bfNbegV4O1x7mnOxzAPGEbexu5HTbaY7UHaF7oJuL81NtzglnZZ5FVXsnPQNzCA/aydLUpRZWSz2Mx8irZndo6/VqP/KqpYsctdg3/sRrdXs1Jc0lnJtzLvesvoe23jbeL37f7tj+wX42l242RV0vzr/YdFOjULjLJBGvWp6l5a2s1vFlDVKdexLJjZ2O+UvB8m52fOMq8lq5uxL9gJ7Fty4mKiOKzx7+DHRw80c3k3lWptXY+BnxxOTEeHR+B6oPEBcaR0aUFs1t1t7No++jUExuPm/xeKJ0GpqDBAquAv6BCEZtBUZrWPIuADPiZwAMscuqbJdVM827dWHyQgB2VOzgvaL30KFjRUaL8dznm47TCkTLWlLJi2nnylmXWZx1fEZec3JkayteY0JiAGzsspYiLXi3WOwbf+K1sEmi3/OT53N+3vkE+wfzbtG7HKge2v3yBx/+gPOfOp+HP3uYdVnrVDtYxYiYJOJVK2JottinidcczBdS7S42EFmesxw/vtGWmOLi7L++7/F9BEcHs/F3G7nhrRvIWpfFJX+6xBRx9TYHaw+yOGUxOp3OuEcVbCkUw8cysprrcNT44mzj9mWkrmA2ZkeERGATIMVXMSEx+On8hqQNaGJWs79ambGS7OhsHt3zKAUNBWRFZxEW+AmSS2sWpHMS5xDoF8jPtn5EdAh8adFsi7OO78hrWZn1fvtpA37ITYzld1U78rnGj3/toRrpfDYjfgZB/kFcPP1iHt37KEseX8JLx18yjesZ6OEve/9CSkQKF+dfzBOXT7xOl4rxwSQSr4FoeVWCZseSidy5gjmFACQaO7RoYLyiXei0u3ZL+rv7KXq3iOmXTCckOoTkBcl8efuXWfw/i4cO9gL9g/0cqT3C4hTL92tHLq7BYzIHhWLysBfYzfgszrLHLKwjnDE2r5+DpA3U4e/nT1xoHPWd9VYjbMWrn86PLy/6Mp+c/oSPSj9iZXoKcAywzotMi0zj3NxzOWhMsU+PssyzHJ+R19BQSEuDPTa9ByKD5Ua/vdfWRysK6++qdsYiKDCoH+TNU2/y4rEXbRwQhrKlbAt5sXmmyPndq+425h3D24Vvm8YdqT1Cz0APf7z4j7x949umSLxCMVwmiXgNRKoyLfOoNPGaAWw0Pr7Y4vVIzMsv45+mJggJEY9AWyo+rqC7sZv5N84f+4kBJxpO0DvYy6KURRZ7O4AIJFdPoVC4z1JgIrXIDEauvRXAM8CTNq+vNG7FujAhLIHaTutqJU28mtOO4LKZkgJQ01HD9fO0ZidXDHn3VemrKG8Bg0EHHDLuHTD+G3+RV4BLLoFt26TxjEZogMy1e8C2HWwU1t9VbYyFeH3x+Itc9vxlXPvfa7nz3Tudjj3VeMqqucC67HW0/bCNC6ddyMcVH5v2v3riVQL8AlibtdZb01ZMESaJeAWpQLW0E9mPLLuFAN9GEt4vsXjd9m52fNPV5Tjf9eA/DxIYHkj2umz7A7zMvmopfFucaht5VSkDCsXUIB9Z5boRCRhYsgRJIxDxOjth9pCCrYrWCpLCkwgNNIvNxSmLuX3Z7QCsy24HpiH2W9b8/Nyfc/yOYnS61YAW5dMiu+Mz537uXGhpgQaL7ImwQLnAd/fbitcYzJ8HJIXA+50L3y58Gx06Lpx2Ic8cfsZORFjQG/QUNxczPc66mDA8KJx1WesobCqks0+s0vZV72Ne0jxSIiZKPrdivDKJxGsy1l1eihF7GZDo31yso4ATK/LqSLz2d/dT/EExsz8/m+Ao3yzRv3byNZLDk22WgNqRyKtCoZjahAELgG3A5/nOygoq26xtDStaK0wpAxo6nY4/X/pnun7USkLYIST4YH8lJy82D3GSKQBaMdsgZtkd72tmGi22T54079OE+9DI60Lk+0zLhd2H/Dy9y2dnPuPK2Vfy/TXfp7O/k23l2+yOO9N2hp6BHrspAPlxUrB3tO4onX2dbC3byqr0VV6dt2JqMAnFa7/xeSPO77ptl2LGN93d9sVr9b5quhu7mfW5WUNfHCNKm0tZkb6CAD/LAgLbDkEKhWLqsgrYAbzC+px9LE/vtoowmsXrAPAHxB1GCA3sQPJXZ+McLdXiGOZI5fi8BtkTrwF+AQT7B9tYZYFEtEE+UyvyPec8V3RAP0BxU7FbczEYDHxU8pGVL6vBYKCyvZKc6BxWpq8kyD+Ij8s/tnv8qUZptW4beQVYm7WWYP9gnjr0FIVNhfQO9nJe7nlDxikUw2USidelyIVvP9LlpRHnBvmRTLS0AXsery3lLQAkzkkc+uIYcabtjFWumlCJpZm4QqGYynzJuJ2B3uDHxfnQ2N0IiFCqaK0gKyoLeB74DnCzxbFaHqsr8ardwJ/CHKWMGeW8vUN2Nvj5DXUcSI9Kp6qjyma0VnDchNmbfAnO+OX2X5L/x3yTsHTGByUfsOHpDdz6xq2mfa29rXT1d5EWmUZ4UDhZ0VlUtNlv6lPYKDZZ9iKv6VHpbMjbwAvHX+BIraSKaNFYhWI0TCLxmmfcViENCnqYTJFXR2kDTYXiVRuV6f0cKHtUtFbQ2N1o54LUzHjNN1MoFGPNCqAXOEFrTw7L0qCxS8Rrc08znf2dxsirZmy/G3MB7h4kXWCpi/fQ/L6rgRbj4xiPzN7T+PtDbCw0NlrvT4tMo6rdmXjdbXy8Amf8ec+fAXjz1Jsu5/LisRcBeObwM6bCuf3V+wGYFjcNgNSIVKrbq+0e/2Hph6RFppEWmWb39ZsW3ERDVwM3v3oz6ZHpVoVdCsVImUTiVbOVqUOir2C+E7fH5CjYqthRQcriFILCg8Z+Ukgfa4Czs8+2eaUT8dJVKBQKgCBAx6B+EUtS4Xj9McDsNJATkwL8F2l2EAg8ZzyuHEjFdQFoGGKBWIhZvEZ7bvoeJj5+qHiNCo6yUxilBQEaEB/dGUAcej309zOE+s566rskbeKe9+/hxx/92Ok8DtQcMBVQPbjzQUCaQ+jQsSFvAyAuECcbT9I/aP2G/YP9bC3byoa8DRYe39ZcmH+hSdj+YM0PCPQP+xTxaQAAXF1JREFUdDofhcIdJpF41ZbNazH7vTpbZopE8mOd918eL9jLeTXoDVTvryZ1Sar9g8YAbVnKesmoD0nhUOJVoVBYExN6NnGhUNkuQQYtN3NmfDeyYvZFYCaw3XiEq/oFS84DtiLiNYTx7DOdlARVNkHWiKAIOvo6bEZmIl/VJ5CfyXoAvvtdmD4d9Hrr0ZtLN8vrq78LwAM7HmBQP+hwHmUtZVwx8wounHYhzx99nkH9IAdrDjI9fjoRQVJ0e8P8G6jpqOEX23/Baydew2D0+Hr2yLM0dTdx5awrHZ4/JiSG47cf5+DXD3LHijuc/UgUCrcZPy06Rk0Q8kd+FPPdtqu0AZDoq+/yRd2lrg7m29i41h2ro6e5h6x1vquoPdV4ipSIFKKCLdMWOo1bJV4VCoU1AX6SH98zUAbA1rKthAeGMz1eWwlbBlwN/C+SAtCA8/oFS+YBryHR10wXY33LggXwzDPi9aoFLSODImnvs428hiI2Yb80Pj8HgIcflmfHj8M8i5X4spYyQCzEFiQv4OZXb+Zw7WEbK0Ohvbedxu5GcmNyWZ+9nveK3+NAzQEO1hxkebrZa/jS6ZeyMn0l92+/f8g5UiNS2Tht45D9lkSHRLMwZaHTMQrFcJhEkVcQS5FTSLFQEOa2sfbQlqDGf95rZydUVporVDXKt0uEOfts3/i7gojXoYn6SrwqFApHyIUsPKgIgMKmQmYlzCLQfz/iDpAOXGocuw1JBXM38joX0CMCdnwXBuXmQlsbtFt8BdmPvIL1Z7nEqrnBEWvLXBq6GggNCCUsMIyzs88mwC+AJw/ZNo4QNKGbE5PD/GSJjnxS8QmlLaVWHRN1Oh3PX/U8Pz/n51w2Q5pHxIfGc8P8Gzh420GTR61CMVZMosgryIVvL9JdS1tqcYRl5HV802xsa51oEyAu/bCUmJwYYnJixnxOGqcaT3HFTNuuN0q8KhQKR8xCbwC9oQi9Qc/RuqOsy16HCNV1SHHWIuQa/RskivpFN899vsXj8S1eU43ZXlVVEGX8OooMiqSjrwODwWCTQ6oVJP8KiLFyKbjhBli8GGYZSzzqu+pJCJNIdXZMNmdlnsXuyt3Yw1K8zoifQWZUJne+dyfAEEur3Nhcfrr+pyP6rAqFp5lkkdcUxAuvDNdLRpp4tfXUG390GrVguI0WrDtWR9ryNIeJ8t6mtLmU+q56ZibYhISVeFUoFA4JoLs/goigTo7XH6eyvZLzc85CGgssNI2BW4ADxucXuXluy/QC516ovibNWJz/+uvmfZHBkegNejr7O21G32/8JzmjtcbuuosWyXbTJvPI2s5ak3gF6VR2uPaw3bzX0pZSQMRrkH8Q3175bQDWZK5hedpEalGsmGpMMvGaBgwidiKuxKtm61HpdNR4oMO4ihRh0bDKYDDQdrrNZxZZANvLpaDikumX2LyiWaqM/1xihUIx9vQOxpIcDrvOSMvYWQnadczSL/oXwCbgr7iyhrJGKwr6/Gin6VVWrpTtwYPmfVqXMS0iaiYOuA8t3U1rK/vnP0NOjnl1DuBgzUFTCgDAopRFdPZ3UtRUNGQOh2sPEx8aT1K4uPXcs/oeyr5Txkc3f+SzoIhC4Q6TTLxqd+16XLcF1PJEy7w2G09hL/LaUdPBQM8A0Zm+s4I5Xn+cAL8AOzmvpcZtnu0hCoVCQf9gJvOT4KPSjwCYEa/lTFo2NokC3gC+Psyz/xFxKLDvOzpeCAuDyy+3Fq/Z0fK9pNmHOaLaGB9IT4evfhWamuR7onegl5qOGqtuV7MSJJ+goKFgyHkO1Bxgcepik1DV6XRkx2QTHDB+XRoUCpi04hVcR15DkSWm096bjofQxKtl5PX0Tpl35lm+q6h95cQrrMpYZdMWFsypGM4K5hQKxVQlLHAN0+Lgv8efJyIogsTwPuMrtp36RoIOs7H/+GbRImkR29Ulz6NDJBjR1uu8FqOoCIKCICNDCr9AunXVddYBmHxbARYkLyAiKIIPSz60OsfWsq3sr97PkhTn3boUivHIJBOvEZhF6xo3xidh7oE9ftHSBiwjr22n5eIWO803ArGitYLCpkJT5ak1nUjOmm8aJygUivFNZLB0bkoMhzmJc9DpNMNTT4jXicOiReLTeviwPNcsB4c2KrCmpEREq7+/WbyWlmLqzmUpXsMCw5gZP9MqbWBQP8ilz4mjw00Lb/LQp1Eoxo5JJl5B2gt+iPj9uSIJqPHudDyAvbSBtso2AkICCI0L9cmcHvr0IQL9Arlq9lV2XtW6a6mcKYVCYQ/JsUwyilc4g+RzuuqiNblYvRpCQuAvf5HnkUHy+Yd6vVrT2Gh2n8nJkW1pKXx25jMA5idZm4LnxuZaidfi5mK6+rt4fNPjql2rYkIyCcXrLKztUpwxHTgOGFwN9CmnjZkNycnmfe2V7USmR/okqd5gMPD6ydfZOG2jqfe1NR0opwGFQuEYEa/n5czje2d9DymcnVpRV4CUFLjgAjhgNFXQOlq5ShtobYVoY7lDcjKEhop4PdN2hmD/YFPhl8bqjNUUNxebIrOHag4BsDRtqQc/zfjm4EGoH/8LrQo3mYTidTjMAJoRsTV+KSkRWxXL9rDtle1EpfvGaWB35W5KW0q5fOblDkZ0IikcCoVCYQ8JGz544Q8sIq/pTo+YrMTGihgF8PfzJzww3KV4bWmBmBh5rNNJ9LWsDJq6m4gPix8S1NAKuMoaxV3ncO1h/HX+xp+9mcFB2Lx5aMvZiU5FhXjhXn+9r2ei8BRTXLxqXVsafDoLV7S0QIJNd8S2M21Epvtmie3NU2/ir/PnC/O+4GCEljagUCgU9kgybuuM26kZeQWJoLZa2I2nR6XbscqyxlK8guS9lpZCY3cj8aFDu5H1t8iy3Ve+IwaxH5R8wLykeYQEhFiN++c/4fzz4Sc/mVwC9u23Zbt5s7RaV0x8lHgFxFZl/NLWZu7AAkaP10rfiNcB/QD/Lfgvi1MXExns6P3bmGq5awqFYjhEA4GIeB1EvKGnZuQ1I0PEa1OTPJ+bOJeTjScdjtfrrdMGwCxeG7oaiA8bKl73bhXxeuJMNYcrythduXtIsW1XFzzwgDz+1a/gtttG97nGE2++aX68Y4fv5qHwHEq8AuM98morXrubuhnsHfRJ2sCTB5/kRMMJfrzux05GlQI5YzQjhUIx8dAh0dc6oBYRsFMz8jp7tmwLC2WbEJZAU3eTw/GnT8vyfna2eV9WFrS2GjheX2Dl8apRV5wB3bGQvpvld/6GIP9gvrLkK1Zj/vY3EcDf/rYI47//3SyoJzrFxXCesdvtqVO+nYvCM0xx8aoVGx3x6SxcYSte647KusdY22TpDXru334/WdFZXDHzCgejDEzlJUCFQuEuiYh4PWN8PjUjr7HGy7iWOhAXGkdTdxOFhQYMdmqJS0pkO91CoyYkAIHdNPc0MS12aBHtti3+RPXNJHrGEfrm/p34pkvIicmxGnPokBR//f738OyzEuE9cWL0n8/XtLWJL+7q1TB3Lnz0ka9npPAEU1y8phj/je9bMVvxWnNQ7L0yVo6tQPzngX9S0VrBF+Z9wYnLQTfS4cx3bWsVCsVEIAmJumrdpKbmDa+Wu2opXvsG+5gxr5Mr7MQIGo1ZbpZ1EHFxQEiLnC8kxmp8V5eIt8yYdFojd0FAH12f/A+nT0N5uXnc9u2w1Gg+MM2of4uLR/PJxgdbt8LAAGzYIOLV8jMrJi5TXLyCtBCscjnKV+j1snQTaxFkbTzZSHB0MGGJYY4P9DDFTcXc9d5d5MXm8YvzfuFkpJYNnzgW01IoFBOWeciq1w6kocls307HR2i5q5p4jQk0FrNFVvHGG0PHa+I13iK1NTYWCJYT2IpXzWoxO1radU8PW07L3o1kZYlLwaFDIlyLi0XgAeTlQWQk7Nw5us/mKw4eFAuyjz6C998Xj/TVqyEzU34e9iLaiomFbV/PKUgqUA78DcgGNvp2OjbU10NfnyT1a1TuriRtadqYerze8/49tPe189CFD9lpB2uJ1vQhxckYhUKhmAv0Ai8AS4EQ58MnKbbiVV8tbc4zlx3i9Hsz6OmRRgYaWh6qZUBj1ixMkVetxazGrl2y/caC75LX3c23V9zNXdsCeest2b9qFfT0SN7sDTfIvqAgWLAACgo89CHHmPvugw8/lH8Al1wCwcEiXnt65GcYP7SuTTGBUJFXlgNHga8BFwIDvp2ODVXGoHBammz7u/qpPVRL+qqxyw8zGAzsPL2TLy36ErcuudXF6GrjNtXb01IoFBMa7Y68GvfaeU9OIiLAzw+am2WJ/+d3S4vzJevlWqq1jtWor5emBKGhcm2uaK0gORkiEluAoZHXHTtE6F6yPok/XvJHpifk8uabEn287joRcwEB8Prr1o1wNAeDiUZvrwj2FSvM+y4zGitoQSAtGq2YuCjxOqSN7Ds+mYUjtNawkUbnqaJ3i9AP6Mlak+X4IA9T3FxMfVc9Z2Wc5cZoFXlVKBTukGfx2J1ry+TEz08igqWl8NJLUFMahx/+5MyVFKxPP7Uef+CA5G4C3P3e3WQ/kk15SzlhqZLMmRaZZjX+5EmJzPrZ+bZ/+mnJh+3thYULrV9bsEDM/cvKPPEpx44dO0Tg//CH8N574p7wFaOxQqbcFyjxOglQ4pU0m+d7fTILe7z9rbfZ+cVHyaPY1F2rbFsZgeGBTLvQXltW7/BOoQj61Zmr3RhdjfxaJbkaqFAopjT5wHXATOA8H8/Ft8ycCS++CDffDHNm+5EUkUg7NYSHDxWPVVXmgqpHdj0CwLbybfgnF+A/EEFmVKZpbHMzfPKJ5HvaIzBQzmVP2F5wgWy1tIOJwgcfyOe64ALYuFHcEwID5TUt8nrmjOPjFRMDJV5ZCqwDbkcuogd9Movmkmbqj5sbL3c1dLHnT3voLq/nGv5LwEAPAOVby0men4yf/9j81xkMBh7Z9QgLkhcMaSVon2qkWMvfyzNTKBQTn+eAAqRpwdRlzhzo75fHd9wBcxLnsK9qL/n5sH+/9diWFsmTLW8px08n3wNby7YyEFtAUPssq1qIAwfEE/aii0Y2p9BQeO65EX4oH7FvHyxaJOkYtiQnS4qEbeTVYFCdtyYaSrwSBGwD/gRMx2zbMnboB/U8Ou9RHp37KK995TX2/nUvn/3+MwCS/udSQumh9oNDdDV2UXu4lhmXzRizue2t2ktJcwnfWfkd04XSOVVMVb9GhUIxXPyQhgVTm/POA50OfvtbuP12WJi8kKKmIjZdZmDHDuv2sS0tEBzTSM7vc9Ab9CSFJ/FO0Tt0Rhymv2q2VVvX116TqOOSJcOfU1AQ3H235MK+//6oP+KYUVcHqQ5KLvz9pX7ENvL6t7+JsHX3c778Mvy//ze5WuhONJR4BeTiadnxZeww6A3UHaljoFsKxQ7+4yBvfeMtPv7Fx8y6chZBZy3jDOkc+u0H/PuKfwOQd0Ges1N6lNIWydhfnrbczSNKUOJVoVAo3Oeyy6C7G777XXmeFplGZ38n52xsR6+HV16R/T094j5TFinfBfefcz+/PO+X1HTU0OVXy0D1bGpqzOc9dAiWLRt5Zf2PfiRL7f/zP9DePooPOIbU10OiE6dGzS7Lkl/9SrbPP+/ee9x2G9x7L1xzzcjmqBg9SrxaoYnXsTGB62rs4o/T/8hjix8D4JunvsllT1xG0vwkgiKDOPf+c+nuhjfZhL5vkNOfnCZjVQbpy8dOHFa1i91BepQ771kFnADWenNKCoVCMekIDjY/1oqu4qYVEx9vLtpqaZHtcb//kBuTy0/O/gnXzr3WfGDDbNrazE9PnbLuxDVcwsIkbaCyEu68U4TzWPLUU5IL7C4GAzQ0uBavlpHXri5z44J335WGBs4oKRGBDBKB3brV/fkpPIcSr1akIVZZNa4GeoTCtwppLmkGYOV3VhI/PZ4lX1nCbQdv4/uN3ydpXhJdXVBDCt+p+xHXvnwt179+/ZjMTaOmo4Yg/yBiQ9xpRbvVuD3bizNSKBSKyc3aLAkA7Dj9MdnZ5khhhTGrrWrwIJdOvxSdTkdUcBQ/W/8zQv0ioXKFSbzW10N19VAXgeGybh184xvwj3/IdqwoLIRbboFrr4WODveOaW2V3GFn4jUjQ8Sr1qjgww/l8c03Q02NeMQ6Q/OO1QrZNm92b24Kz6LEqxXzjdvDTkd5iqp9VQSGB3LfwH1c9Ig5o17np8M/UAqeurpkX2RcILOvnE14YviYzE2juqOalIgUNxsibAFikCI4hUKhUIyEjKgMAvwCqG6vJiPDLF4LC4HgNrr17WRFm+0S//ec/+Xt9c3QnmZa3i8pke0MD5RIPPoo3HqrCNjXXx/9+dzB0uXgn/907xgtIuoq8trTY+5U9o9/SKvdxx6TNrv/7/85L97aulXyZpcvl3a6L73k3twUnkWJVys08XpsTN6t6VQT8TPinToH1NRIvpK/j4r3azpqSIlw17O1ArG/CfTijBQKhWJy46fzIyUiheqOaqtl7rY2IFrWuG1TuWKj/c1jMAuwJA+5Fv7+9yLyHn7YM+dzxRtviAhduBCefNK9YzTxmpDgeEx+vmwPHJBI9muvwZe/LF3MXn5ZXtu3z/HxhYXis6vTwec/D8ePm9M5FGOHEq9WxCORw7ERr42nGomf4TyTvrwcsrPHZDp2qW6vJjXC3W5ZFUCmy1EKhUKhcE5KRAo1HTVkZoo46ugwLp+niRf50lTrFa6oKNlq4lXL4/TU90dYmLSP3blzbEz+y8tFuJ5/Phw9KpZfrnAn8rpunWz37YN//UtE6G23yT4txeLgQfvHtrfLXLQmEcuWydbWzkzhfZR4HcIaYLfX32Wgd4CWshbipsc5HVdfb92yb6xxP/LaiBRrqZQBhUKhGC2pEammyCuIYGxvByKlJsMybQDMEVZNWJaXSxGYMyE3XG67TQqa5s2DF17w3HntUVMjlldnnSUdwLZvd32MO+I1MhJiYuTndPiwpFXkGQ18YmJE7B86ZP/Yl16SlIOrr5bnmtg9NjbxLoUFSrwOIQFodTlqtJz59AwGvcGlc0BLi/Sl9gX9g/00dDW4GXktM25t2+0qFAqFYrikRqSaIq8gYqujAwKj6wkPDCc0MNRqfHi45HOeOiXPKyogK8t+96yRMns2bNkiOZ/XXWdeZvc0er2I15QUc3ewEydcH+eOeAX5uZSViei0zQletMi+eB0chJ/9TISuNqeEBIncNjS4npvCsyjxOoRoxkK8NhU3AZC80HlYtblZ7gZ9QUFDAQYMTItzpxVtpXFr225XoVAoFMMlJSKF+s568mcM4O8PH38s4tU/qo7EcPvqLDERmuSrhfJyEWme5uyzxT4rMhKuugrefNPz71FYKNHWWbNEwAYHmwvQnFFfL+kNWjt1R6xZA2+/LYL4nHOsX1u4UG4AtGJpjS9+UW4I7rvPfEPg7y/BJa34SzF2KPE6hGigHfBu64y2M22gg8jUSIdjDAbfRl6Lm4oBmJs4143R2pVF5bwqFArFaEmNTMWAAX1oLTNmSGFQe4eB/owt5Mfl2z0mJsZcPOTNeonFi82R0aef9vz5S6U3DrNmiVDMyTHvc8bBg+65K2zaZH68YYP1awsXSuT36FF5fv/9IlL//W/42tfgS1+yHp+QoCKvvkCJ1yFEIU0K3DSWGyGNJxqJTIvEP8ixjUBbm/wR+Uq8NnXLLXx8mDvtWfYCGYC7zgQKhUKhcISWrnWm7QyZmRL1q26rYTCsistmXGb3GE28njwp4nLOHO/NLyxM2s4WFnr+3FokU+sMlpvrnngtKnLP1/aCC2DBAikGW7DA+jXt+JUrpePZz35mbgOr5bpakpw8tN2swvso8ToErYCq3qvvUrWviszVzqOUmiF1RoZXp+IQTbzGhTovKhPKgbFrW6tQKBSTmaVpUvz6QckHZGVJzmtxh3iQL0heYPcYTby+8448v+46785x7lzJG231cKbdSMSrwQC1te4VOAcGikPA228PfS031xwwevBBifz+4Q/whS+I2LVl8WKx3dKaHijGBiVeh6AtkTsoN/QQnXWdRKRFOB2jWZ3k5Hh1Kg5p6m4i0C+Q8EBXjREMQCGQ4/1JKRQKxRQgIyqD3JhcjtYdJStLhNmZARGv85Pm2z0mNlaWsDWPVG8HPs45R1rGakvsnqKxUQqhNBGZmyv1H878VNvaZC7uuvP4+0NQ0ND9fn4iyH/zG3n+rW/Jv+ees1/8lp0t+bGeFvAK5yjxOgRNvBZ57R0Gegfobe0lPMm5KNT+GHyVNlDTWUNCWIIb3bVOArWIzZhCoVAoPMGcxDkcrz9uchwg6TDRujSHqVwbN0qh0+bN0u7U20wz1vK6U0w1HCorJZdUa86j5bE6srACc2Q21V1bciekpsLdd0t01lVThhRjplx19ejfV+E+SrwOIcL4z3u/iZ11nQAuW71q/ZwjnAdovcbx+uPMTpztxkit/cl53pyOQqFQTCnmJs7lZONJMrMHZEfKIaZHLnI4fsMGOO88iVpedZX355eTI52pdnvYGv3oUZhvEVxev162li1jbdFe02ysRou/v6QEuIrdaGK5stL5OIVnUeLVLqlAldfOXnu4FoCE2U562OF78VrTUUNGVAaS/9vvZORmYBbgjqWWQqFQKNxhduJs+gb7iMouBd0gJBRw9iz7+a4gy9offCB2WZ4Scc4IDpbCJkcdqUZKQ4M5ogmSyxsX5zzvtaJCBOdY14gsWoTJykwxdijxapdUvBl5ba9sByBumvNCqOZm+aPwlXht6m5iVjxAEvADJyNLgLMBV+kFCoVCoXCXWQmzAPis/l3+8nQN+A+Qn+DcvNXPb2y9wTMyPB91bG0d+hny8pw7G7z1ljRRCAjw7FxcERsrPwNPp04onKPEq128K157WnoACI4Odjquvl6qLT3ZIcVd+gb76OjrYHp8r3HPw9jPAy4CGgD7BQQKhUKhGBkr01eSH5fPlrItTFt1HIDc2Fwfz8oaTbwODHjmfJq/ua14XbkSPvvM+n0aG+HDD+HxxyUf9tZbPTOH4aJZmSnGDiVe7eJl8drag85fR2BYoNNxu3aJFYkvaOwSr5LUCMt0gXvsjNxn3K719pQUCoViSqHT6ZgRP4OyljLeKnyLAL8AlqUt8/W0rFi+XKr8d+70zPm6ukSgRkcPfZ/OTusI5yWXiGfr178uzy+zb3/rdaZPlzxdTwl4hWuUeLVLCtCJtxoV9LT0EBIT4rKKv6LCd+K1sEnWZzKju4BwpAGBvYSjk0i6gBttTRQKhUIxLHKicyhrKeNo3VEWpywmIcx5rcRYs8yopU+c8Mz5mptlaxt51Qq4Pv1Utg0NUiimdRGbP19SC3zBxRdLnvH+/b55/6mIEq920WxImr1y9t7WXkKiQ5yOGRiQP+IEH12ntNawiWENwFLgJqAA6LUZeQLIBlw0k1YoFArFsMmJyaG5p5lPz3zKnEQvtswaIRkZYvrvqZxPLa811yY7YvFiKdrSxOv27bJ97jlZpdyxwzPvPxJWrJCtEq9jxxinNk8UNJfj04DzLlgjoamoieisaOdjpLmVz8RrS08LAEH+XUjUdSEwgAjYRRYjTwAzx3ZyCoVCMUXIickBoKu/i7mJPlqKc4K/vwjN4mLPnE9zFMjPt96v04mvrPb6669DaKhEfu01GxhLsrKkcOvAAd/OYyqhIq92WWTcHvbK2VtKW4ib7txpoN7YndaX4lWHDj9dJxCFiFcw/0xeB15DxOssH8xQoVAoJj+aeAXGZeQVZLneU+JV66IVZ+crcsYMiW6+9BI8+STcdpvvhSuIsNbaxCrGBiVe7aIZzNV75ew9LT2ExoU6HaNZj6Sne2UKLmnuaSY6JBqdrg0Rr/lAMPAQ8BJwBfA5oBtY4ZtJKhQKxSRHs8sCWJSyyHcTcUJOjueq7ZubRQxGRg59bdMmyXW9+moRi7/6lWfe0xMsXgyHD0O/M0t0hcdQaQN2CUQEW4PHzzzQM8Bg3yAhMc5zXrULQZZzSz+v0dLTQmxINHAGiEZ+Vc4F3gWuthl95RjPTqFQKKYGkcGRPLjxQc60nSE9ykfRDBckJIjo1OtHb+3Y0iJOA/bOs2qV+fHTT0uThPHCkiXSmvfECevuYArvoMSrQxLwRuS1u7kbcO3xWl4uf7xpaR6fglu09LSQGxsBDCLWYQBvICkVx4DfG59vAJxHkRUKhUIxcu5efbevp+CU+HgRri0t9pf7h4M9j1eNnBzJdU1K8p0TjyMWL5btgQNKvI4FSrw6ZBrwPiLe/D121srdkg+QOCfR6bjyckkZGOtuIRotPS3MStCiw5qCDgAOWjz+9lhPS6FQKBTjjGRjjfOZM54Rr7Gxjl/3lZerK2bMgPBw+Pe/4aabJPVB4T1UzqtDvgI0Ai979KwNJyQVIW2Z45CqwSB2IDN9WMTf0tNCZpSWCW/RZJoA1D2PQqFQKDQso46jpbl5bNvbegp/f7j/fnjnHfjnP309m8mPEq8OuQqJuHrWPK6jpoOA0ACCwh2XSDY2QlERXHSRR996WLT0tBAXpqU22MmcVygUCoUCc3pbvQcy7ZylDYx37rwTzjkH7rlHFW55GyVeHRIAzAU85P9h5NTrp8hcLd6xBfUFPHXoqSFjdu+W7SwfOlBJwZbWvjbcdxNRKBQKxbgmMlJS3BobR38uV2kD4xk/P7jjDvkMe/f6ejaTGyVenbIc2Ap0eeRsAz0DNJc0k3NuDgArnljBLa/eQl1nnWnMmTNw6aXy+NxzPfK2w2ZAP0B7XzvRwZp4Vd2zFAqFQmEfnU6KtjwlXidq5BUk8gqwZYtPpzHpUeLVKRuBTqDII2drO9MGQFRGFIP6QTr6OgAoajKf/z//ke2SJRA2TM341KGneP3k66OfZ69xnsFabquKvCoUCoXCMfHxUFMzunP090Nn58QWrwkJ4oSwdauvZzK5UeLVKVp/Os+I18o94jQQkxPD3irzmsKOCnNe7ZYtUqg13CWHitYKbnn1Fq749xWUt5SPap5aa9jIYK1cUkVeFQqFQuGYdevg/ffF63SkaN21JmragMYll8AHH0Bhoa9nMnlR4tUp04xbz+S9lm8vJzgqmKy1WRysOWjab5k2cPIkLFgwfJuN1068Znr8tTe/Nqp5avOJCPJDPFzVr4lCoVAoHLNmjQjX8lHETjTxOpEjrwC33CLuA1/4girc8hZKlTglGmlW4JnIa82BGpLmJ+EX4Mfh2sOEBYaRHJ5sWqbv64PS0uFbZOkNev68588sSlnEL879Be8Xv8+pxlMjnmdho9wuxocGoaKuCoVCoXCF1jRAy/UcGBj+OSaLeJ07Fx57DPbtg5ct3DZ37YK8PHj1VZ9NbdIw7sXrz38OF1/syxlMwxOR176OPip3VZJ7Xi4A2yu2syZzDTEhMSbxWlwMg4Pui9d3i97l6UNP89CnD3Gy8SR3rryTG+bfAMBHJR+NeK7VHdUARAa3AeOzHaFCoVAoxg+LF0s7848+gjfekJqNl14a3jmKjV+1mZmen99Yc/PN0rzhhRfM+37/ewlQfeMbEqxSjJxx7zZfVwd79vhyBvl4wuu1vaodgPgZ8QB09HWQEpFCS0+LSbzu2iVj3RGvO0/v5OJnRdUnhScRFxrHtXOvJSQghMigSPZX7x/xXJu7mwn0C8RfVw1MgquIQqFQKLyKTgcbN8ITT8CLL8q+e+6Bz3/e/TS4U8YFQ1/aRHqKwEBYuxYOHzbvO3RItjU18OGHkhurGBnjPvIaEwOtrdJ1yjdMA04Do8hCB9oqRaBGponhf1d/F2GBYUQFR9HW20ZNDXz5yxAd7V7P5m1l20yP6zrr+O0FvyU0MBSdTsf5eeeztXzriOda1VFFckQyOl0rMMpefwqFQqGYEjz4oAg2gGnTJP+1qcn945ubpcVqcLDrsROB+fMlmlxdLcVbx4/DT34irx054tu5TXTGvXiNjZXcmfZ2X81gPqAHdo3qLI2nxAAvJicGgO7+bkIDQk3i9c03ZdzTT7tnkVXQUEBCWILp+VWzrzI9npc4j9LmUvoGR7YuUdRUxLTYaUAbqruWQqFQKNwhKgo2b5YV08cek307hrFwWVcnS+2Thc9/HvR6yXu96y5pYvDlL0N+vjgz+JrmZti0Cb70Jdg/8sVanzDuxWt2tmxLS301g7OBIOCvozpL+dZywpPCicmNwWAwDIm8lpRIhxJ3lxFONZ5iYfJCXrj6BV657hWiQ6JNry1KWcSgYZAPij8Y0VyLm4rJj8sH2oGoEZ1DoVAoFFOPwEBITITVq+V5QYH7x1ZXQ2qqd+blC+bMkZSJb34T3noLHnhACrbOP9+cQuAr9Hq47jqZ19NPw9KlsH27b+c0HMa9eJ1mdKsq8kzB/whIAm4BXge6h320wWDgne+8w9F/HyXn3Bx0Oh39+n4GDYOEBYYRGRRJW28bDz4IOTlir+HOOU82nmRG/AyumXsNn5v1OavXL8q/iPDAcDY9v4mHP30YgEH9oFvz7ejroLazlhlx2UAfKvKqUCgUiuESFiZtY4fTuKC6GlJSvDenscbfH558Ej73OSlk+8EPZH9ennQja2vz3dweeEC8aP/wB3Ou8b//7bv5DJdxL161X+T6el/O4hKk09bwb5U+/uXH7P7DbpZ+fSmX/EnCqt39IoJDA81pA319Blatcu+cZS1ltPS0MCvBflZ7eFA4b3zhDQDufv9udD/XkfDbBCs/WUcUN0m558yENOMeJV4VCoVCMXySk6G21v3xNTWTK/IKcNNN8MorcN555n25YjrksxXl6mq47z5JY/jKVyRI+PnPw+uv+7K+aHiMe/EabVwNb2315SySjNvhTcJgMHD46cPknpfLpX+5lLAESWbt6u8CMKUNDBoGIaCH669377zvF0uyzMX5jj3Ezs09l31f22d63tLT4lYaQXGziNf8OK1QK8a9SSkUCoVCYUFmpvtdprq7xed1MkVeHZGXJ1tfiVfNe/btt801NpdfDpWVEyf3ddyL17AwyQXVzIt9g5b3ObwY/ye//oTGU43Mu2EeOguvkPY+qT4LDwwnKth47uA2t/9oy1vLCfALIC82z+m4JalLqLizgoI7CkiNSOXVk6+6PHdRk+Rn5MTojXty3ZuUQqFQKBQWLF8uuZ3uRPO0CO1ki7zaQ4u8lpT45v0//VRuLC680Lzv0kslEvvMM76Z03AZ9+JVp5Po6/gQr+5HXqv2VfHRvR8x47IZLP7yYqvXajvkrzQ5InlE4rWspYyMqAz8/VwnyGZGZzIrYRarM1dzqMZ12kNxUzEJYQmEB2n2DmlOxysUCoVCYY/kZHELcmfltFp640wJ8RobK7rGV5HX/fth3jzrfQkJcNVV8I9/SJvf8c64F68ghUzFo29yNQrijVv3M88P/usgOn8dmx7bhM7P2qG5pkPOkxqRaiVek5Jsz2Kf7eXbWZa2zO25ACxKXkRRUxHtvc49x4qbi402Wdo45TagUCgUiuETb/zqbGx0Pba8XLZTIW1ApxORPpxiNk9RVycOEOeeO/S1r39disi0wrLxzIQQr9On+y68LoQD0wH3kkEMegMFLxUw64pZRKYOLXjS0gaiQ6JN4jUqsY3AQNfn7h/sp7K9knmJ81wPtmB+8nwMGDjRcMLpuKKmIgubLFAFWwqFQqEYCe6K14EBePddiUhOhu5a7pCTAyecfx17BS3aa+/nfP754vn6+99Lp7TxzIQQr7Gxvk4bAMgCbKv1DYigtbahOr3zNB3VHcy+erbdM/UM9AAQEhBiEq/Rye7l02pR27TI4S3np0bIWowzx4HegV5Ot522iLwGApOk1YlCoVAoxpTERNlqKQG2nD4NN94ozQ2efBJWrIDQ0LGbny+ZN08sqjxV3W8wwN//bra9coQW4c7Jsf/644/D4sXwwx9CZ6dn5uYNJoR4jY72dYtYgDCgy2bf28BS4BdWe4/++yj+wf7M2DQDgwEaGqyPsideoxLdE69V7VXA8MWr1o2rvsux51hZSxl6g94YeVXdtRQKhUIxcubPF6/TvXuHvmYwSEHXc8+J0wDYX8qerCQlQV+f5wTi7t1w662y9O+MsjLZag2gbAkMhF/8QqLlf/qTZ+bmDSaMeB0YMP+C+wZ74vUd4/YwAP3d/bx717vs+fMe5l0/j+DIYJ55Ru4+P/7YfJSleA3xE/GaMW144jU1cnhZ7amRqfjp/Chpdpx/UdAgrVCmxWmRVyVeFQqFQjEywsJEpNmLvJaVicPAd74jEdjXX4d77hnzKfqMBGN3d0952P/V2ATU1Sp1WZmsZkc5KWe54ALxfn3wwaHBt/HChBGv4Guv11CGitdD6Af82PNoKO/e9S4PhD3Arkd2EZkWyQW/uQCAhx6SkZ9+aj6qZ6AHHToC/QLpaRWBGBrtnnit7pCrwHAjr2GBYcxLmsfuyt0Ox3xY8iERQREsTV2KpEgkDOs9FAqFQqGwJDlZioRsOX5cttdcAxkZcNllYos5VdDEq6fEoebP2tfnfFx5ueOUAY3AQPjXv0RY//3vnpid55kQ4jU2Vrb2/gDGjjBs28Ma9C28fOPnefuO6ex6ZBcAZ33vLO4sv5PwpHDq6uDgQRlrmYfSM9BDSEAIOp2OtqZgGAxEF+p+5NVf509iWOKwP8HC5IVsK99mapJgSXtvO1vLtrIoZRHBAcFABeBgXUGhUCgUCjdISrLfZUsTr7Ptl4ZMejIyZOupYnRNH7mK5JaVuRavAGvWSAHXD38Ix46NdnaeZ0KI1xUrZGsZvRx7woAOqz1lW0M59sI8zv2/zfy45ya+XfxtNvx6A34B8mO1rCQ8edL8WBOvAA0NOuiNwhDkvnhNiUhxy+PVlkunX0rPQA9bSrdY7TcYDNz48o0crz/ObUtvM+5tQkVeFQqFQjEapk0ToWrrHXr8uNhimZo5TjHmzoWgIM90tOrvN4vWxkbQ6+2P6+oS29H8fNfn1OmkeAvgqadGP0dPMyHEa3a2LCdUVPhyFqlAD9BsfG6g+IN4dP56VnxzNwHBpcTmxVp10tLE9uc+51i8lpYCvVEQ7Nx/VaOqvWrY+a4a67LXAdKhy5L/HPsPb5x6g99e8FtuXHCjcW83kiqhUCgUCsXIWLkSOjrgzBnr/QUFMGeOb+Y0HggKEhFpqQ1GypEjMDgIa9eKcG1qsj/u6FG5iVizxr3z5uXBN78pdqXjjQkhXv39IS1t6C//2JJj3GrCr5nyrelknqUnJKYHGNrAuahI8n2WL5e7Iq3gzFK8HjkCfv1RGALdj7wON99VIyUihZiQGLaVbzPt0xv0/HH3H8mLzePu1XdbjFbiVaFQKBSjIzlZtpapAwaDRF6nasqAxqxZ8NlnUpA+GrRmB8uMvYscpQ5oqQXD6WL2xz+Ki8F4Y0KIVxDlv2ePL2cQY9xqIrOUpqI4EuckIVX5R4ccceaM5LVovyhaxWVHXwehgSIMW1vBEHeS106+NuT4QzWHOFhz0GpfdUc1aREjE69+Oj8uzr+YT0+b8y+2lW1j5+md3L7sdouo8SDQjxKvCoVCoRgNmni1rFmpqoL29qkdeQXYtElE/WjzXjWHAS1C6kq8utvNczwzYcTr+vWSQ+o7u6xw41ZM2XpaKulqCCd2WgKQD5RZjTYYZL6ZmebEbK2zRV1nHUnh8tvT3g4G/z7Tfo2TDSdZ9NgiFj+2GIPR4LZ3oJeGroYRR14BVmWs4nTbad4reo873rqDa/97LaEBody6xPLWSvshK/GqUCgUipGjBW8KjYuTej3cdZc8nuriVYs8j7bTliZetVxWV+I1cfj13uOOCSNeNUNd36UORBi3UrTVVNwCQFx+LJAIWPtdVFdLVd8558DSpbLvwAHZ1nbWkhyeDAyQnLyf2fvfArAqpPrdzt+ZHtd2ynrLSLtrWXLd3OsAuOjZi3h076N09Xfx4jUvEh0SbTFKcyNQ4lWhUCgUIyclRbpJffihPH/5ZXjxRXm8YIHv5jUemDcPIiPF43Y0uBt53bVLnAbCw+2/PpGYMOI1K0u2vrNssBGvRZI+EJefglTlW3uBaDkoOTli9RUcbL7raettIzYkFvg1f/3rUr64upmMqAz+W/Bf0/Fby7cS4Cemd5+d+QwYeYMCS5Ijkk35tlfPuZqqu6u4dMalNqO0lh+T4DdcoVAoFD5l1SrYuVNE1kMPSR3LoUNT12lAIyJCiqx27RrdeZqbRWOkp8tzR+K1qAgWLhzde40XJox4XbVKunVs2eJ6rHfQhJwmXsUdIDYvA1iIpA2Y24ho4jUlRSwnEhLEwgKgu7/bKCArAViy+BMWpyzmRIOsHdR01FDUVMS9a+8lPDCc94vfB0beoMCWBzc+SJB/EA9f+LBNxFVDK1Wc4lcWhUKhUIyaL31JHAf++ldpY/r976uoq8a554oLwKOPuu6O5YjCQnEGCAqSpk72xKvBAJWV5jTGic64F68D+gEqWisICRG/OC1v1B79/d5MK7COvJZt7iVueiNB4XHATONrlabR2jxSUmQbH2/upNE90G0s2BI1m5RUxcz4mZxqPEVHXwevFLwCwJWzrmRJ6hIO1R4CzJHX0YrX25ffTu9PesmIcvRbrInX+FG9j0KhUCgUZ50Fublw771i6XT99b6e0fjhRqM75R13wKW2i6BuUlwMM2bI48RE++L1wAGJ0KrI6xhx0ys3cc6/zgHkl9+ZeN24UQqkvCNgg4Eo4DQAdUcHyV5fg/wItdI982/MgQNyB5SZKc8TEuQXakA/wIB+gNCAUPr7zxhfa2ZWwiz6BvtY9NdF3P727QDMSZzDguQFHK49jN6gp6q9igC/ABLCvN08wBgiVpFXhUKhUIwSnQ7uv1/82q+5RkVdLUlLg+eegyVLxBu+zWhoVFUl+cGDg67P0dRkbjdrT7wODMiNQ2AgXHWVZ+fvK8a9eF2etpzSllJqOmpM4tVYfG+FwQBbt8rj55/3xkx0wDyggP7ufjrrAojJNvatRSvdM//G1NRInq6f8Sc8c6bk63b1SSV/aGAoBoOI18TEk8xKkOhtcXMxAF9c8EWCA4JZmLyQjr4OylrKTN21/HTe/m9TaQMKhUKh8Bxf/CL09cELL/h6JuOPL3wBHnhAdMzevbLvO98Rofnb3zo/1mCQlMR440JpUpK1LRnAj34E778vrV4nS57xuBevK9NXAvBhyYfk5kJnp3n53ZLPPjM/Li8f+rpniAdaqD0sxVnxM0OM+4eK1+ZmKdTSmDZN7qgaWkW8hgUEERBQRXt7BKGh1cxOMEdT/3bZ33jyc08CkB0jNgtV7VXi8TrKlAH3UOJVoVAoFJ7FogGlwobly2W7f7+s3L70kjx/6CH7ATuN7m7pmqWJ0owM69XnU6fgkUfk/D//uVem7hPGvXhdmraU+NB4/nPsP+Tmyj57qQO7d8s2IcFcLOV5YoBW6o7KbU3aMq2IKwoIBMy3O7biNSpKttVNUuiVHNGDn98AW7eeA0BcWDd3LL+D1IhUbpx/oym6qvnBlrWUsadyD7kxud75aFY0Ijm+QWPwXgqFQqFQTG3i4iRqumuXtJSPioJf/1pSAMrKHB+nFYJrkdfMTNEfzcZO9j/9KYSGwmuvTa6bh3EvXkMCQjgr8yxOt54mJ0f2aULVksZGWaKfO3f03SocEwO00F4lvy2RqTHG/Tok79UceW1pgZgY85GRkbI9Wn0KgJkJ/gBs27beOKKSP13yJ6ruqTJ13wLJew0NCOWfB/9Jc08zl8+83LMfyS5NqKirQqFQKBRjx5Il8N//QkUFPPaYNGcCsRVzRJNxoVSLvJ51lmx37JBV6ldekQK54bSEnQiMe/EKUl1f0VrBzJkGMjLgW98amtdaXS1R1w0bJOSu/YcOl7IyuP12R8fHAK00nqwmKrOVgBDLwqlEnKUNaJHXUw1FAGRGiUDdv3+JcYTZqcCSIP8g8uPy2Vy6GYAlqUvsjvMsdSjxqlAoFArF2PGNb8h27Vq47jppYqDTmcXrs8/CrFmwfbv5GC3yqolXzXWgvBz27JE84y98YWzmP5ZMCPG6Mn0lzT3NnGw5wl//Kvvuu8/8usEA77wjrdEWL5Z9I2239v3vw1/+IsnNGq0VrRS8XEBvezSgp6GghsTZ9UCWxZFm8TowIG1f7YnXhg6J5UcESUvYkydnYzD44Ui8gqROAGyasYlZCbNG9sGGxW5g0Ri8j0KhUCgUCoDLLoNXX4WnnpLn4eHSNWvfPvHJ/eIX4eRJuPZaabML5kCbljaQmCgNC8rKzKJ30aIx/BBjxIQQr3OT5gJQ3lLOpZfCd78rZrtaEnNzszy/5BK5K4GRi9eCAtlqebODfYM8e/GzvHDVC/z3ugEMeh0NJ7pJmN0ApFscaRavra2yxzJtQBOvjV0thAWG4e8nfhjh4YnodBnA/wHv2J3TQxsf4qtLvsqjlzw6sg81LPqRtIG8MXgvhUKhUCgUIFHWK67AVN8DcOGF8PbbcNdd8vwb34DaWrNWsU0b8POTIN4778DBg9Ll01KLTBYmhHjVzPTPtEkJXUYG9PSYk5g1d4FZs+Q/Kjh4ZOK1p72P2tJOdBgoKoKO2g6e2vAU9cfrCUsMo+idHrbdv57+LkiYXQ9EWhydBNQABlOitGXkNc1oEnCoeTtzE+cCzXR2RpKYGIC5e9clducVGxrL45c9TmZ05vA/1LAxTl6lDSgUCoVC4VMuu0y8Xp94QpoY3H237P/4Y9napg2ACN6CAvGNnYxR1//f3p1HR33e9x5/P1oQEhLaV7QAQhgwizGLF4jtGJx6jRMnTup7e9Jmd53mtPemzU2ant7b4+Q6adxz0rSNm+QkdeO6jhsnsWOT6yUOXvCGF8BgNrFJCCS0DlrQhvS7fzy/38xvRjMjjQxIIz6vc+b8Rr999GVGX555nu8DSZK8ls4pJTMtk/rOesC2sAI884xdegV5S0vtnMmLFyeevB574Rj/WPM9vtR3P3/Ef7D9pQEevvFhGl9uZMV/W8GfH/lzcmsyePHvriMlzaHu5npCs24BLAbOAMeDU7z5k9fCQsiZO8qJkR1sXrgZOEJra6U7kOufE7vZ80oTFIiIiEwH119vJxj4q7+CBx+0ZTdLS21iCrblNTPTPjzr1tlvphsb4YorpuS2z7u0qb6BiUhNSWV5yfLgNKnVbldT738cXt1Xr1RqVZWdnWKi+rv6efimh0nPy+IIZdRyhNrd36EF+MSvPsHSjy4F4NMvbeTZr3yfyqsNuVXdhFpMAbx2/hN0ddkb9DfVGwMFFQF6zCilc0qBJzh0aInbneB64FvAN4B+wPev8II77i7nxd1LREREzq/UVDuBgd+6dXYwFtg8KHLigZtuCj2/9dbze39TJSmSV4ClxUuDI+4zMmxHZq+vR2TyWlpqAzs6GprhKp6DTx7k7MBZVv/tHfyve6q5ZdFByg5t4xN/WR1MXAFyq8u58xe/AMqxNVDTfWfJc5eBqN0GALJL7I0WZhUCPXR25gZLaIHXJeA4thV3qnh1xtTnVUREZLpZtw62bLEDwzs7Q4O1PCkptp/swYO2fOhMlBTdBgCWFi2lqbuJo112hoKCgtAUaO3ttmXTSxY3bLBdCerrxz/v4WcP8/gfP07xsmKc6mrAULzxEn7CZ1nwhRsi9s5zl83YiQmibeuiudk+KysL3yO92HbOtX14ewkEsoMDuWxCDLbf7FRyb54ZVhRORERkBrjkklC3gM7O6FO+3nSTnWJ2Jk1M4Jc0yetHlnwEgK3HtgKwapUtHwE2eS0osM3rADV2RlVOnRp7ngd3PshXn/sqAG//+G0eue0Rssuzue3HtxEI2Ch//ON234ceCpWjsHJ9zyOnac1zlwGammD27LH/oIZKXgVgSdESHKePrq5sX8trqbuMctMXVDd2IFrqFN+HiIiIRPIaxk6dst0GIlteLwZJ021gceFi8mbnsa1xG59Z/RkWLYIXX7Tb2tttbTNPiZ1RdUzy2nGmg08/8WlwoPb+WlqebaHyqko++atPkl2WTaN7vo0b7fLee20XhW98wztDGjax6yF28tpOU5OtiOD/H8/QyBAHSu4jpfMSSrLyMWaI3t45wVnDQsnrVLe8niY8SRcREZHpYp47JOXo0dgtrzNd0rS8ppgUNlRt4K2TbwE2Qe3pgf5+m7wW+Sa7KnXzQK9bgWdL/RYAlu9ZTsuzLeRW53LLD24hu8xWDdi3zyadubnwL/9ij3nqqcg7WeEuI79Wnw3UAjtpagr94/K09bUxYgYZ3f5FGhrOANDbm+2r51YE5ANx5oEb108JDbiarG7GdokQERGR6aC21g4If/vt6AO2LgZJk7wCzM+bz/Fum5z5W1dbW8ObzQsLbatnZMvrmyfepHSglA8/9WEGqwf58qEvU3ZZqGNqR0fovPfcA5/5DBw5QgR3Cq+ofUJrgROcOGGTYL+2M249r9M1tLT0AtDXN8dXkSAFmxgfjPMbiOf/Ap8Frprk8Z5u1PIqIiIyPRljc4z6ehgevji7DSRV8lo1t4rAQIDuwW4WuoPhX38dDh2yU6h50tJsS2xky+v2k9vZVL+JWYOz2Pb5baSmh/fr7OoKrxCwapU9x/GwxkyvKkBJlDssxnHaOHFibMtra597M33FBAL2eWtrCdn+UrGUM7luA49hy2yBnWbWmcQ5PG2EukCIiIjIdFNaCnv32udqeZ3mVpfbVs/Xm17nmmtsf9SnnoLBQYLJrKekJDx57Rvq482mN6l7q46zC8/yTso7jDpho7Ho6gqvzbphg11u2eLf60vYVs4/jnKHxThOO0NDY+/nRPcJAExfBY2NdqawpqbKKMlrM4knn19xl//du1qCx3tGgL3ADK2tISIiMgOUlobq2avldZpbV7EOgD2te4Izab3xht2WG/FNd0lJeLeBV4+/SsmpEkyDoeDOAvqG+9jbtjfsmMiW18svh0WL7FzC993nrc0Gvk701skyUlJ6yM/vZNGi8C0HOg6QnpLOR66r4cCB0BSs5WG9DxYBvUBT3N9DuGFsP9f/Dfypu25nAsf7dQNDjB2MJiIiItOFv35r+UVY2TKpkte82XnMzZjLkS7bEXXpUttlAMYmr6Wl4S2vTx96mlX7VmFSDTd+/kYAnjzwZHD74KAd+OWvzWpMaGaLBx6YyB2uBWD16h1UROR/77W9R21BLR/YkEZf3yAAK1ZkREyisN5dvjGRi7m8bgLVwEp33WQHfZ12l+rzKiIiMl1deWXo+YoVsfebqZIqeTXGsLpsNa8cfwWwyasnss9HZLeBo51HuWzXZVRdVcXS2qWUZZdxqPNQcHt9PYyMwLJl4ee58047p3BLS/S6seFsva78/K6wFtyDHQd56uBTVM2tYt06yMiwyWttbUbE8auwU8M+Nt6FfBrdZTW2jJeteDA5Sl5FRESmuyVLQs+zsqbuPqZKUiWvABurN7L71G6GRobCghfZ0llaCt3dMDAAjuNwfOtxsgJZrPniGgBqcmto7G4M7u9N6eqvF+u56y47ou+558a7O5ux5uUFwvrO/vvOfwfgL6/+S1avDiWvd945O+L4WcBmYPd4F/LxJ68AlzH55DXgLpW8ioiITFfl5fDNb8K77071nUyNpEtel5csZ8QZ4eWGl1lj81Dy8qC6Onw/r+RVayu0n2mn6o0qTI5h2Z22abUmr4bG06HktbvbLudGKXHq9V/1OkfHlgdAcXEXs3156but77KydCUfqv0Qc+bAhz88AMCSJZEtrwCVJFZxwHsNXhWEy4BD2IkUEhVwl0peRUREpitj7ARKF2OXAUjC5PWWulsAOwCrrg5OnLBf50fO3+slr6/9w6v84rZfsOrdVeTfkE9ahp1UrHpuNY2nG3EcO7K/x831QtO1huTk2D61+/ePd3fZjIykUlYWCFvbEGigJrcm+PMHPjCI/dVHm+CsGJtE9o93MVeje0ym+/Nl7jKR1lvPbsAAiydxrIiIiMj5l3TJa05GDjW5Nexr3wfY7gKzZo3dr7QUKmli//efo21rG6NmlNV3rw5ur86tZuDsQHDygHjJK8DmzbB163h3Z+jtzaOiIhC2tvF0Y1jyCoNAtFZXsIO2RoHXxruYd3ZCXQYAvI7Ak5nsoAk705daXkVERGR6SrrkFWBp8dIxZa4ilZTABl5hOHOUH/zpD3j2755lw+YNwe3VuTbhO9p1FAglr9G6DQCsXAkNDXDmTPx76+zMZ968ruDPpwdOc3rwdPB6Vrzk1UuwJ5p8NhCevLpz49I2weP9uvD67YqIiIhMR0mZvC4rWsaBjgOMjI7E3Cc75Qy1HObQ8iZaS1v518//K8bXt2DdvHWkmBSeOvgUAKfdgfbhkwaEXH45OA689FL8e+vqyiMvLxD82ZvOduLJq1c2oTP+hQBbk7UeuMS3bg4wGxi3NEIUSl5FRERkekvK5HVRwSIGzg7Q0ht7YNPRp95jFsO8cvlWvrjmi6wqWxW2vSKnguvmX8fP3v0Zo84ojY22C0JKjN/IDTfYfq+PPBL7vkZHoaMjj5ycUMurNyisJs/fbWCA2MnrbCAL6Ih9oaD3sJMUrPatM9jJDuK3TEcXQMmriIiITGdJmbzOmzsPgIbTDTH32ffYXrqy5tBUfpQbFt4QdZ9PrfwUjacb2X1qN42NUFMTdTfATkV7xx3w61/D2bPh24ZGhni96XW6ux26uvLJygoEt9V31AOJtLyCrRxwIM52zw53uTpi/TLg8ASOj9SM7fMqIiIiMj0lZfK6fp6dieqNpugzUbXta+PYi8foXGwr99YV1kXdb/PCzaSaVB569yH6+mL3d/Vce63tG3vYlxc6jsON/3EjV/3kKn769s8IBPLIzAwEt7/Y8CKVcyspz/bP3xYg+vSynnVMrFrADux0tbUR68tIrNwW2G4KTdiJEkRERESmp6RMXkvnlJKZlklTd1PU7fW/rQcHGtba4q3hrZ4h8+bOY928dbzY8CL9/ZCZGXW3oCuusMtnngmt29O6h63HbBmCn+z5J7q68snICHUbCAwEmJ83P6y/rR1MFWU2hKAq4CS26kA8u7BTwkaGsQzoZuLltnCvB+GDv0RERESml6RMXo0xVORU0NzbHFzX19bHrod2MXB6gN3/sZuCugLaynbD6SryZufFPNemBZt46+RbdKc0hE0sEM2SJbBgAbzySmjdrlO7ALhr+V3sDbxNYABSUwfxEsfeoV5yZkXW3+og/tfz84Cz2JbQeNqAiijrvQR0n7t8DdhA/H60Xktt2TjXFBEREZk6SZm8AlTlVnGww5aTGuwe5MFrH+TxTz3Od4u+S8vOFtZ/eT396cehayEDA7HP4016cOwj83mv/OvjXnfdOnj99dDPW+q3UJxVzBfWfAGA1oEhd4tNrHuGesieFVnC4Ay2KkAs12MHXn17nLuJVR3gGnfp3egXgVeB78U5l9fyWhpnHxEREZGplbTJ68aqjbzT/A6DZwfZ9u1ttO9v57q/u46aa2u47E8uY+3da+lPaYW+YgKB2Oe5ovIKFuYvBGB37rc50X0i7nXXroXGRggEYPDsIFsObuH2S24PnuNgmzdrlk2se4d6oySv8aoNgJ1o4NPAA0C8iYsDRO87WwnkAPcCxwgN3noqzrl2YisdLIizj4iIiMjUStrkta6wDgeHQw2HePuHb7PoxkVc+7fX8qnffYrb/+12UtNTOUMb9JVw5Ejs86SYFF79zKtkPPmfADxx4Im41y11GyY7OmBny056hnq4ue5mKnIqmG1yaM7wJhdoxXEcOs50kD87snV0EJsoxvNX7vJzMbb3u+eJ1vJqgP+J7QqwANvSuwHbRzZW/dhGYCEQZboyERERkWkiKZPX0bOjzHpsFgUdBTz9N08zEBjgg/d+MGyf/uF+ekY6oa+UfftinMhVml3K8M4/JM9ZyNOHno67b4E7h0BHB8E+tzV5NaSlpHGJuZWugu3ungFOD56m/2x/sLSXe/fYyQXitbwCLAHuAN4EnCjbvUkIYvWd/T/Acvd5DfBl9zyxMvlmoGScexIRERGZWkmZvO55dA8HvnmAW1+6le5fdbPqT1ZRsSZ84NKe1j32yakV9PbGP9/wMIyOGGpTrmdb4zZGndij/AsL7bKjA0712gSydI5tji0fvI7T6d7Apy6ae2xyW5HjvzevT+x4ySvAVe6yJ8o2LyNfEuf454Ht2L6vi9x10bpFONhJDeKdS0RERGTqJWXyevR3RwFYuGshKUMprP5MZJH+0MxWdC2kJ1ru59PvVpRaMmszXQNdPHngyZj7eslrSwuc7LGDnIrn2LJXxYGbGHFgaGQ2EKC1rxWAkjn+Fs1BdzmR5NVrVW2Pss37+j/eAKsSbM3YMmwFA4hewaAJ2392xQTuSURERGTqJGXyevzV48zOm03KuhS2r9tO1qqsMft4iWX6YMW4La9dblnWDxR+jKKsIr6//fsx962thfx8W3HgnZZ3WFq0lFmptp/o2a55mLOZdA9mAIeD9xCevHqlD8br8wrxk1cvI48swxVLCZBG9JZXb0KElRM8l4iIiMjUSLrk1Rl1CBwLcPnnL2fdf67jt7f8lvfa3xuz38mek6SnpJOdUjhu8triftNfWZHG7Zfczq6WXTH3TU2108g2N0NTdxO1BaHZrbpPp5DRV8euUznAO+xt20uqSaWuwD/DlzdxwESSV+/cO6Ns85LXyEoGsaQA5URPXr2KBsujbBMRERGZPpIueQ00BBgZGiFvfh4rS21L4etNr4/Z72TvScqyy5ibkzJut4FW++0+JSWwqGARHf0ddPbHGpVvKw6cOgVtfW0UZYUGTHV0wNyhxRzu7ANaea9tD4sKFpGR5u8i4HZnoHICr3YJkAkciLLNy8jj1YuNNI/YLa/VxJ+yVkRERGTqJV3yemzrMQBqrq2hIqeC5SXL+f2x34/Zr7mnmYqcCrKzGTd57euzy+xsuKbGFvh/Yn/sklklJXCq1aHtTBvFWaFpXhsaoGzWYg60nwaGaerezaUll0Yc7Y32r2V8BttftSXKth5sq2siIazBlsuKHJC2A/V3FRERkWSQdMlr19EuTKqh6BLb4nlN9TX87sjvgv1LPSd7TlKRU0F5OZyIP+9AcMBWZiZcWXklBZkFbGvcFnP/6mo4fqqXoZGhYPI6OGi7EtTlruBowCaHWemHWVu+NuJob4rWiZalKiNUFsvPS14TsRHbf9af7O/EVi64IcFziYiIiFx4SZe8Bo4EmDtvLilp9tbvXns3o84ov63/bdh+J3tOUp5dTm0tcScpgFDympVlJy24uupqXjn+Ssz9L7sMRme3AaFKA8eP223XVm7m97YYAmsr4A+X/2HE0WfcZWb8mwoqJXrLazOJT+V6i7ts9K3zXuftCZ5LRERE5MJLuuS16Y0mKtaG6qYuL1lO1dwqttRvCa7rH+6na6CLipwKiouhsxNGY5du5YybT2a6+eSGqg0c6DhAW19b1P2LioAsN3l1W14bGuy2FbVF5GfOp+MMLC5MZX7e/Iij+7CzWKUxMbFaXhux3QASUe4uj/rWvYLtC5vouUREREQuvKRKXh3Hobupm/za0JSoxhhuW3wbWw5u4WiXTcp2tOwAYGnxUvLybOIar+KAv9sAwMbqjQC8evzVqPvn5wNzbPLqDdg6dsxuq6mBvffsxZhaPnf5JowxEUd3k9ggqzLsV/3DEetPE31q2HhmY+u+bnV/bgeexnYniLxPERERkeknqZLXwe5BRgZHmFManvx9af2XGB4d5vmjzwNwuPMwYFtl8/LsPoFA7PP290Namn0ArK1Yy6zUWXzl2a/QOzQ2683PB7Js7VWv20BDA6SkQGUlZKZnUpC5hhRzdMyxdsDUsgm+Ygh1DWiNWH+GiXc98FsJ1APHgFVAF/DVSZxHRERE5MJLquS175QtC5BdGj5QaUnREnIzcnnr5FtAaHatyrmVE0pe29rchNQ1O202G6s3crjrMKX3l3J29GzY/jZ5HdttoKIC0tO9vRZiE8SRiKu9C4ydESy2MncZ2XWgj8QHbIGt5doK3AucxCaul0/iPCIiIiIXXlIlry277MClgrqCsPUpJoU1FWuCyevRwFFK55SSlZ4VTEo7Oohp925YHlGf/5k/eoblJcs5M3yG3x8NL8WVnQ3p+W2kOhlkz7IJZEOD7TIQshD7Vb+/1MEItj5rERPnleLyz7I1gp3sYDLJ6x+4y59iW2G/M4lziIiIiEyNpEpeO+vtxAGlK8eOsr9y3pXsbNlJ92A3xwLHWJC/AIBFi+z2/ftjn7exERYuDF+XlpLGa599jdyMXB7d82jYNmMgY8F2svqWYYxheBj27LFTx4Z4J/R3HXALyiaUdOa6y673eR7PIt/zmydxvIiIiMjUSarktbell4zcDNIz08ds27xwMyPOCC8ce4GjgaPBUf5VVfar/MbGMYcEBQLh3QY82bOyuaLyCn6686e8dvy1sG3O3EacNtt39fBh27K7aZN/jwXu0l+ny5stISfOq4zkzcR13Lfu/SSv/t+daruKiIhIckmq5LXvVN+Y/q6eq6uuJmdWDg+9+xCNpxtZkGeTR2Nsaav29qiH0dVlB2wVFkbf/q3rv0V6Sjq3PXJbWOms4fR2+juKcJxQjdcFC/xHVgGphCevXutpIlUC8tyHvwW3211OJnkFeA64E7hukseLiIiITI2kSl7b97eTNz8v6raMtAzuWn4Xj+19jLOjZ1leEurEGi95ffppu/zgB6NvX1uxlsc+8Rgd/R28efJNAIZGhhgyPYx0F1FfD0fdvLKqyn9kOlBNePLqDbqKkSnHVEH4RAVuUVmqEzyPZzPwXyRZ+EVERESSK3tp399O6arYs0rdsfSO4PMbF90YfF5UZCsKROMlnqtWxb7u+nnrAdjXtg+AjjPu6K8zhWzfDi+8AOXldtrYcAsJT169rgeJVBsAO2jL/wLq3eWiKPuKiIiIzFxJk7yeHTjLyNAIs/Nnx9znQ7Uf4u41d/Nn6/6MgsxQRYKlS+Htt2FgYOwxHR12WtjZsU9L6ZxSlpcs57eH7BS07WdsM67pL2LPHjhxAurqbJ3XcJHJ6zFs6atEJxcoIbzl9RB2ooOy6LuLiIiIzFBJk7wOnLaZ5+zc2FmmMYYHbn2Af7r5n8LWr19vE9emprHHnDoFxcVj10eet66gjlO99mv/jn7b8rqwvIj/+i87GKyiItqRC7E1Vb2JDo5j+8ImahW2tTXg/lyPbXXVrFgiIiJycUma5HWwexCAjLkZCR87b55dRkte33sv2tf9YxVmFgaTVq/l9cObCzl61E4Nu359tKO8clmPAg6wE7gkkVt31blL7wUcQl0GRERE5GKUNMlrz0lbZiqrOCvhY72BVJG1Xjs7YedOuPHGMYeMUZFTQWtfKz2DPcHk9cqVockGPvKRaEd5M1d9DlshoBVYkcitu7zuAc3AWWxXhLrYu4uIiIjMUEmTvLbvswlj8dJxvuOPoq7OTkKwZUv4+h077PLyCcyOun7eekadUd499W5wwNaHNxdy9dW2RNb8+dGOWgRc6T73MudEarx6vOS1HmjEztylllcRERG5+KRN9Q1MVPv+dtLnpDO3am7Cx6akwLXXwm9+A45ja78CPPusncBgw4bxz1GVa5tvm3ubaT/TTvasbGanZ/DSSzAyEjrnWN/Elqba5f48meS1Flsu6wVC/VzXTuI8IiIiIsktaVpeW3a0ULSkCBM7S4zrqqtsZYF33vGds8WWuMqZQD5Znl0OwMmek7T0tVCcZVuAU1Nh1qx4R67ATlbwS/fn3Dj7xpIKLMdOVLAXmAusnMR5RERERJJbUiSv/V39NLzUwIJNC8bfOYZbboGMDPjJT2zrK0BDw8QGawEUZhVSmFnIy40vs6tlV9gkCPGVYBPYZ92fyxO78aBq7OQE+7FTz6rSgIiIiFx8kiJ5bXy5EYCFmxeOs2dsFRV2YNYDD9huBNdfD4cPx+qrOlaKSeEDNR9gX9s+mnubqcmtSeDq/kQ3ak2tCViJnajgd8A1kzyHiIiISHJLiuR172N7ySzIpHrDZKdDtT772dDzrVtt6ayJJq8A1XOrOdJ1hMBAgKKsovEPCLrB97wkgeP8rvY9XzbJc4iIiIgkt2mfvA71DVG/pZ6aa2tIz0p/X+e67Tb45Cfha18LrUskea2cW0n/2f7g84nztxhPdozcEt/zP5jkOURERESS27RPXnf8dAf9nf2s+cKac3K+n/8c7rsPKt3cc2ECPRFurrs5+Pz6BdcncNVEuhjEMgfY5j4m3/dXREREJJlN+1JZw33D1N1cR+2Has/peR95BB58EK6+etxdgy4tuZR71t7D4sLFLMhPJIGsBP4HsDqxmxxjAjW9RERERGYw43hD7ydg7dq1zltvvXUebyc6Z9TBpGh0vYiIiMjFwBjztuM4UYvaT/tuA4ASVxEREREBkiR5FREREREBJa8iIiIikkSUvIqIiIhI0lDyKiIiIiJJQ8mriIiIiCQNJa8iIiIikjSUvIqIiIhI0lDyKiIiIiJJQ8mriIiIiCQNJa8iIiIikjSUvIqIiIhI0lDyKiIiIiJJQ8mriIiIiCQNJa8iIiIikjSUvIqIiIhI0lDyKiIiIiJJQ8mriIiIiCQN4zjOxHc2pg1oOH+3E1QEtF+A6/hdAhy4wNe8mJzPmCp2F965iqdiN30kGlPFbnqLF0/FLjkVAYVcPLGrcRynONqGhJLXC8UY85bjOGsv8DVHHMdJvZDXvJicz5gqdhfeuYqnYjd9JBpTxW56ixdPxS45GWPeAlYrduo2ICIiIiJJRMmriIiIiCSN6Zq8/mgKrvnmFFzzYnI+Y6rYXXjnKp6K3fSRaEwVu+ktXjwVu+T0IxQ7YJr2eRURERERiWa6tryKiIiIiIxxQZJXY0yVMWarMWafMeY9Y8yfu+sLjDHPGWPq3WW+75ivG2MOGWMOGGP+wLd+jTFmt7vt+8YYE+Oatxpjho0xo+5jp7t+tTFmyBjjuMuVvmMOuusdY8y/+dZ/wz2HY4xpi3XNi8m5jKlv+2+MMXvOZex82weMMaPn5ZcxA5yreLqxG/HFotsYUzTJ993Tvn8DQ8aYKy7k7yTZJRpTY8xdvs85x/e+u8q3ftQY8xN3/Vr3feoYY9p91600xgz6YndiCl7+jDNOPHf44jZqjNlpjCk0xrzpWx983xljrvTF9Kwx5mO+6+QZY7p853p8il7yjOfGdJcvRo4buwJjzGu+dcPGmJXGmBuMzUH8sf6Be641xphm37aZnas4jnPeH0A5cLn7PAc4CCwD/h74mrv+a8B33OfLgF1ABrAAOAykutu2A1cBBvh/wE0xrrkJ+Gv3+SLAAe4BTgIH3PUHgBPu83uAUWwNtU+4+2e420aA+9xrDgE/uxC/t+n8OJcxdbffAfwnsOdcxs7d/mugFxid6t/bdH2cq3gCHwJ6sPUIvdg9lWjsgCz3+RXufieBY1P9e0qmxyRiejPwQ+Bu4Ge+910z0OjucxAYBG4CaoD7gTeAdt91K4F/cZ/nAWf1mXne4/lj4K/deP7Qjd1fYOu8tgD/HPG++x7wuhc7oMh3nWO+eKd570E9zltM73Zjl+N+jjrAs0C3G7OvAR3ACWA18C33c3Y50AU47rm2u5+l92Fzo+GZ/L6bqoA9AdzgBqbcF0Tvj9vXga/79n8Gm7CWA/t96+8CfjjBaw64b3AH2OSu2+QL/EHgoG//IfcfwSZ8SQ/wNNA11YGbbo/JxtR9ng1scz+I95yr2LnPF2D/eN6DktfzHk8gHWjDJjbG/d2/PIn3XY57zEfd83QCr0/17yWZH+PF1Lffn2CTnZjvO+Dzvv1fxJe8RrluK/DaVL/+mfaIF8+I2H3Hjaf/fXccmBMtdu4xNVP9+i7GhxvTIdyk1I1ZOdDoxc63r8EmtY77t7PB+xuHzY0amcG5ygXv82qMmY/938MbQKnjOM3YqDQDJe5u87BvLk+Tu26e+zxy/XjX/Di2Ned+91rP+5euAmywPWeAS4EN2D/Anr3YViFxvc+YAtwL/AP2dx557vcTO7CtC09g/4DKBLyfeDqOMwz8KbAb+8GaCnzBPX7CsXMcpwd4EvgVtjVhLnDtOXuRF5kJxtRvIVHed8Db7vL5KMdEu+4KoBj4x8neu4w1Tjwr8MUO2Odue949Ns9dfy9wOZBjjCl1t61wt213v5I+Y4y55ry/IPFiejW2AcCAjZkb05woh3wM+9k4jM1JhgnlKk2+9TPSBU1ejTHZwC+Bv3AcpzverlHWOXHWx7vmAuBR4HHHceJNqRbt3KNE/x2pRIPr/cbUGHMZsMhxnF9HOff7ip0x5qtAruM4H4uyXaI4B/FMxyavtwG5wBHsh2wi5xk1xuRgv5r+I+x7MAC8N+4LkDESiKmnCPu7D3vfGWPSgEcAHMc5MoHrZmGT3d2O4/x8MvcuY8WLp/uZmU38z8w0bNeOV4B3sAmPl+h6yc5rjuOkYN+/W87tK5BIbkyfxHafenwC+18KPIB9r34a+zmacH6UzC5Y8ur+Ufsl8LDjOL9yV58yxpS728sJtY41AVW+wyuxfd6a3OeR62NdMwf7Fco+x3E+6lu/yb90dQDVvp+zsP9jfRn7ZvcsA/rjvdaLxTmK6VXAGmPMMWzXgcXGmBfOUew+DmQYYxzgF/Yw429FF59zFM/LsK2tz2Fj8Glsa0KisfsKgOM4Dzv2e7CHIq4nE5BgTL3PzG8DnVHedz8iyrcjcTQDpx3HWTnunjIh8eLp+8wc9McOWOoe673vOrBx9BoMBrEtsGD7TYL97ATb33LOOX8hEuTG9HFsnPa6sTvlbtvkvkd7fPtXYrtpFQH3O47zMPbzOI1QrlKJbcGdubnKheibgP0fwc+A70Ws/y7hAwf+3n1+KeGDQY4QGrD1JnAloQFbN8e5Zg/QGrG+mfCBIyfd518i/oCtbxEasPXQVPf3mOrHuYyp79j52AFb5yx2vmM/jvq8nvd4Yr+yHAXa3P28LiEJxQ47IMEh1C+6AWiZ6t9TMj0mEVPvfdcN/LNv/2bsoJ5f+mPn2x6t32Qj9g9n2lT/HmbKY7x4urHr9eLpi10zoQFb3vvu58D1bux6gF/4jukDfuCL7Zmpfu0z9eGL6ZD/750b08gBWyexAyD3uZ+Zj0ec6013/bcIDdiasbnKhQrQRvcP0bvATvdxs/sH63mg3l0W+I75Bnbk3QF8FQWAtdgE57D7hjQxrnm/e81R3+Mh9/hhd9swsNp3TL273sE3Sg/4W/d4x/0Qj3rNi+lxLmPq2z7fje05i51vu5LXCxBPX+z8j0cn+b57wxf/AWDtVP+ekumRaExjxO432C4E3s+jwH7gc+4xkfvf414j8v37ylT/PpL9MU48GyJi5H1mnoyIz8fcc9VEi5277aPYrgRef8rbp/q1z9SHL6ZORPwedT//vHXD2D7Of4NtTIvcf6P7GdviWz+jcxXNsCUiIiIiSUMzbImIiIhI0lDyKiIiIiJJQ8mriIiIiCQNJa8iIiIikjSUvIqIiIhI0lDyKiIiIiJJQ8mriIiIiCQNJa8iIiIikjT+P1CX4aZ2N8PhAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_values1 = df_dict[\"israeli_shekel\"][\"date\"]\n",
    "y_values1 = df_dict[\"israeli_shekel\"][\"rolling_mean_30\"]\n",
    "\n",
    "x_values2 = df_dict[\"philippine_peso\"][\"date\"]\n",
    "y_values2 = df_dict[\"philippine_peso\"][\"rolling_mean_30\"]\n",
    "\n",
    "x_values3 = df_dict[\"malaysian_ringgit\"][\"date\"]\n",
    "y_values3 = df_dict[\"malaysian_ringgit\"][\"rolling_mean_30\"]\n",
    "\n",
    "x_values4 = df_dict[\"romanian_leu\"][\"date\"]\n",
    "y_values4 = df_dict[\"romanian_leu\"][\"rolling_mean_30\"]\n",
    "\n",
    "fig = plt.figure(figsize=(12,8))\n",
    "ax = fig.add_subplot(111, label = \"1\")\n",
    "ax2 = fig.add_subplot(111, label = \"2\", frame_on = False)\n",
    "ax3 = fig.add_subplot(111, label = \"3\", frame_on = False)\n",
    "ax4 = fig.add_subplot(111, label = \"4\", frame_on = False)\n",
    "# for ax in ax, ax2, ax3, ax4:\n",
    "#     ax.xaxis.set_major_locator(years) # format the x ticks\n",
    "#     ax.xaxis.set_major_formatter(years_fmt)\n",
    "#     fmt_three_years = mdates.MonthLocator(interval = 36) # Major ticks every 3 years\n",
    "#     ax.xaxis.set_major_locator(fmt_three_years)\n",
    "#     ax.set(yticks=[],\n",
    "#            xlabel=\"Year\")\n",
    "ax.plot(x_values1, y_values1, color = \"blue\")\n",
    "ax.set_yticks([])\n",
    "# ax.set_xlabel(\"x label 1\", color = \"C0\")\n",
    "# ax.set_ylabel(\"y label 1\", color = \"C0\")\n",
    "# ax.tick_params(axis = 'x', colors = \"C0\")\n",
    "# ax.tick_params(axis = 'y', colors = \"C0\")\n",
    "ax2.plot(x_values2, y_values2, color = \"green\")\n",
    "ax2.set_yticks([])\n",
    "# ax2.xaxis.tick_top()\n",
    "# ax2.yaxis.tick_right()\n",
    "# ax2.set_xlabel('x label 2', color = \"C1\")\n",
    "# ax2.set_ylabel('y label 2', color = \"C1\")\n",
    "# ax2.xaxis.set_label_position('top')\n",
    "# ax2.yaxis.set_label_position('right')\n",
    "# ax2.tick_params(axis = 'x', colors = \"C1\")\n",
    "# ax2.tick_params(axis = 'y', colors = \"C1\")\n",
    "ax3.plot(x_values3, y_values3, color = \"yellow\")\n",
    "ax3.set_yticks([])\n",
    "ax4.plot(x_values4, y_values4, color = \"purple\")\n",
    "ax4.set_yticks([])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e9ad288",
   "metadata": {},
   "source": [
    "## **The Early Struggle and Other Alignments Conclusion**\n",
    "### Stuff\n",
    "* Stuff\n",
    "* Stuff\n",
    "\n",
    "## **Volatility**\n",
    "Stuff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f9c862e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# function to create df with year and annual volatility for every row\n",
    "volatility_df_list = []\n",
    "def volatizer(currency):\n",
    "    annual_df_list = [currency[currency['year'] == y] for y in currency['year'].unique()] # list of annual dfs\n",
    "    c_name = currency.columns[1]\n",
    "    row_dict = {} # dictionary with year:annual_volatility as key:value \n",
    "    for frame in annual_df_list:\n",
    "        year_name = frame.iat[0,4] # first cell of the \"year\" column, becomes the \"year\" key for row_dict\n",
    "        annual_volatility = frame[\"log_rate\"].std()*253**.5 # volatility measured by standard deviation * 253 trading days per year raised to the 0.5 power\n",
    "        row_dict[year_name] = annual_volatility # dictionary with year:annual_volatility as key:value \n",
    "    df = pd.DataFrame.from_dict(row_dict, orient=\"index\", columns=[c_name+\"_annual_vol\"]) # new df from dictionary indexing on year\n",
    "    volatility_df_list.append(df)\n",
    "\n",
    "# apply volatizer to each currency df\n",
    "for key in df_dict:\n",
    "    df_dict[key] = volatizer(df_dict[key])\n",
    "    \n",
    "# create an annual volatility data frame with all 40 currencies\n",
    "annual_volatility = pd.concat(volatility_df_list, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ae4c66ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: center;\">\n",
       "      <th></th>\n",
       "      <th>australian_dollar_annual_vol</th>\n",
       "      <th>bulgarian_lev_annual_vol</th>\n",
       "      <th>brazilian_real_annual_vol</th>\n",
       "      <th>canadian_dollar_annual_vol</th>\n",
       "      <th>swiss_franc_annual_vol</th>\n",
       "      <th>chinese_yuan_annual_vol</th>\n",
       "      <th>cypriot_pound_annual_vol</th>\n",
       "      <th>czech_koruna_annual_vol</th>\n",
       "      <th>danish_krone_annual_vol</th>\n",
       "      <th>estonian_kroon_annual_vol</th>\n",
       "      <th>uk_pound_annual_vol</th>\n",
       "      <th>greek_drachma_annual_vol</th>\n",
       "      <th>hong_kong_dollar_annual_vol</th>\n",
       "      <th>croatian_kuna_annual_vol</th>\n",
       "      <th>hungarian_forint_annual_vol</th>\n",
       "      <th>indonesian_rupiah_annual_vol</th>\n",
       "      <th>israeli_shekel_annual_vol</th>\n",
       "      <th>indian_rupee_annual_vol</th>\n",
       "      <th>iceland_krona_annual_vol</th>\n",
       "      <th>japanese_yen_annual_vol</th>\n",
       "      <th>korean_won_annual_vol</th>\n",
       "      <th>lithuanian_litas_annual_vol</th>\n",
       "      <th>latvian_lats_annual_vol</th>\n",
       "      <th>maltese_lira_annual_vol</th>\n",
       "      <th>mexican_peso_annual_vol</th>\n",
       "      <th>malaysian_ringgit_annual_vol</th>\n",
       "      <th>norwegian_krone_annual_vol</th>\n",
       "      <th>new_zealand_dollar_annual_vol</th>\n",
       "      <th>philippine_peso_annual_vol</th>\n",
       "      <th>polish_zloty_annual_vol</th>\n",
       "      <th>romanian_leu_annual_vol</th>\n",
       "      <th>russian_rouble_annual_vol</th>\n",
       "      <th>swedish_krona_annual_vol</th>\n",
       "      <th>singapore_dollar_annual_vol</th>\n",
       "      <th>slovenian_tolar_annual_vol</th>\n",
       "      <th>slovak_koruna_annual_vol</th>\n",
       "      <th>thai_baht_annual_vol</th>\n",
       "      <th>turkish_lira_annual_vol</th>\n",
       "      <th>us_dollar_annual_vol</th>\n",
       "      <th>south_african_rand_annual_vol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>0.1287</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.1184</td>\n",
       "      <td>0.0256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0096</td>\n",
       "      <td>0.0694</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0718</td>\n",
       "      <td>0.0245</td>\n",
       "      <td>0.0913</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0513</td>\n",
       "      <td>0.3246</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0489</td>\n",
       "      <td>0.1445</td>\n",
       "      <td>0.1130</td>\n",
       "      <td>0.0914</td>\n",
       "      <td>0.0669</td>\n",
       "      <td>0.0784</td>\n",
       "      <td>0.2085</td>\n",
       "      <td>0.0914</td>\n",
       "      <td>0.0569</td>\n",
       "      <td>0.1293</td>\n",
       "      <td>0.1208</td>\n",
       "      <td>0.1142</td>\n",
       "      <td>0.2024</td>\n",
       "      <td>0.1963</td>\n",
       "      <td>0.0556</td>\n",
       "      <td>0.0966</td>\n",
       "      <td>0.0456</td>\n",
       "      <td>0.0569</td>\n",
       "      <td>0.1250</td>\n",
       "      <td>0.0614</td>\n",
       "      <td>0.0924</td>\n",
       "      <td>0.1311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>0.1270</td>\n",
       "      <td>0.0098</td>\n",
       "      <td>0.2621</td>\n",
       "      <td>0.1507</td>\n",
       "      <td>0.0441</td>\n",
       "      <td>0.1376</td>\n",
       "      <td>0.0116</td>\n",
       "      <td>0.0452</td>\n",
       "      <td>0.0032</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.1112</td>\n",
       "      <td>0.0066</td>\n",
       "      <td>0.1374</td>\n",
       "      <td>0.0169</td>\n",
       "      <td>0.0159</td>\n",
       "      <td>0.2169</td>\n",
       "      <td>0.1479</td>\n",
       "      <td>0.1448</td>\n",
       "      <td>0.0811</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>0.1640</td>\n",
       "      <td>0.1376</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>0.0640</td>\n",
       "      <td>0.1662</td>\n",
       "      <td>0.1373</td>\n",
       "      <td>0.0533</td>\n",
       "      <td>0.1461</td>\n",
       "      <td>0.1688</td>\n",
       "      <td>0.1251</td>\n",
       "      <td>0.1414</td>\n",
       "      <td>0.1533</td>\n",
       "      <td>0.0618</td>\n",
       "      <td>0.1391</td>\n",
       "      <td>0.0207</td>\n",
       "      <td>0.0471</td>\n",
       "      <td>0.1597</td>\n",
       "      <td>0.0832</td>\n",
       "      <td>0.1376</td>\n",
       "      <td>0.1273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>0.1273</td>\n",
       "      <td>0.0058</td>\n",
       "      <td>0.2217</td>\n",
       "      <td>0.1149</td>\n",
       "      <td>0.0456</td>\n",
       "      <td>0.1115</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>0.0468</td>\n",
       "      <td>0.0030</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0755</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.1116</td>\n",
       "      <td>0.0498</td>\n",
       "      <td>0.0784</td>\n",
       "      <td>0.2555</td>\n",
       "      <td>0.1212</td>\n",
       "      <td>0.1124</td>\n",
       "      <td>0.1161</td>\n",
       "      <td>0.1371</td>\n",
       "      <td>0.1467</td>\n",
       "      <td>0.1115</td>\n",
       "      <td>0.0818</td>\n",
       "      <td>0.0426</td>\n",
       "      <td>0.1575</td>\n",
       "      <td>0.1122</td>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.1206</td>\n",
       "      <td>0.2043</td>\n",
       "      <td>0.1275</td>\n",
       "      <td>0.1119</td>\n",
       "      <td>0.1129</td>\n",
       "      <td>0.0752</td>\n",
       "      <td>0.1132</td>\n",
       "      <td>0.0129</td>\n",
       "      <td>0.0347</td>\n",
       "      <td>0.1201</td>\n",
       "      <td>0.6486</td>\n",
       "      <td>0.1115</td>\n",
       "      <td>0.2148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>0.0990</td>\n",
       "      <td>0.0075</td>\n",
       "      <td>0.3007</td>\n",
       "      <td>0.1037</td>\n",
       "      <td>0.0297</td>\n",
       "      <td>0.0962</td>\n",
       "      <td>0.0081</td>\n",
       "      <td>0.0760</td>\n",
       "      <td>0.0023</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0592</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0962</td>\n",
       "      <td>0.0278</td>\n",
       "      <td>0.0508</td>\n",
       "      <td>0.1363</td>\n",
       "      <td>0.1299</td>\n",
       "      <td>0.0961</td>\n",
       "      <td>0.0831</td>\n",
       "      <td>0.0897</td>\n",
       "      <td>0.0982</td>\n",
       "      <td>0.0363</td>\n",
       "      <td>0.0600</td>\n",
       "      <td>0.0335</td>\n",
       "      <td>0.1533</td>\n",
       "      <td>0.0957</td>\n",
       "      <td>0.0499</td>\n",
       "      <td>0.1091</td>\n",
       "      <td>0.0980</td>\n",
       "      <td>0.1016</td>\n",
       "      <td>0.0993</td>\n",
       "      <td>0.0975</td>\n",
       "      <td>0.0677</td>\n",
       "      <td>0.0810</td>\n",
       "      <td>0.0321</td>\n",
       "      <td>0.0504</td>\n",
       "      <td>0.0851</td>\n",
       "      <td>0.1908</td>\n",
       "      <td>0.0962</td>\n",
       "      <td>0.1996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>0.0843</td>\n",
       "      <td>0.0047</td>\n",
       "      <td>0.2003</td>\n",
       "      <td>0.0947</td>\n",
       "      <td>0.0387</td>\n",
       "      <td>0.1031</td>\n",
       "      <td>0.0084</td>\n",
       "      <td>0.0530</td>\n",
       "      <td>0.0024</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0709</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.1030</td>\n",
       "      <td>0.0344</td>\n",
       "      <td>0.1017</td>\n",
       "      <td>0.1114</td>\n",
       "      <td>0.1256</td>\n",
       "      <td>0.1010</td>\n",
       "      <td>0.0798</td>\n",
       "      <td>0.0941</td>\n",
       "      <td>0.1110</td>\n",
       "      <td>0.0014</td>\n",
       "      <td>0.0599</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>0.1627</td>\n",
       "      <td>0.1024</td>\n",
       "      <td>0.0680</td>\n",
       "      <td>0.0903</td>\n",
       "      <td>0.1068</td>\n",
       "      <td>0.0934</td>\n",
       "      <td>0.0597</td>\n",
       "      <td>0.1011</td>\n",
       "      <td>0.0509</td>\n",
       "      <td>0.0869</td>\n",
       "      <td>0.0082</td>\n",
       "      <td>0.0412</td>\n",
       "      <td>0.0946</td>\n",
       "      <td>0.1606</td>\n",
       "      <td>0.1031</td>\n",
       "      <td>0.1846</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      australian_dollar_annual_vol  bulgarian_lev_annual_vol  brazilian_real_annual_vol  canadian_dollar_annual_vol  swiss_franc_annual_vol  chinese_yuan_annual_vol  cypriot_pound_annual_vol  czech_koruna_annual_vol  danish_krone_annual_vol  estonian_kroon_annual_vol  uk_pound_annual_vol  greek_drachma_annual_vol  hong_kong_dollar_annual_vol  croatian_kuna_annual_vol  hungarian_forint_annual_vol  indonesian_rupiah_annual_vol  israeli_shekel_annual_vol  indian_rupee_annual_vol  iceland_krona_annual_vol  japanese_yen_annual_vol  korean_won_annual_vol  lithuanian_litas_annual_vol  latvian_lats_annual_vol  maltese_lira_annual_vol  mexican_peso_annual_vol  malaysian_ringgit_annual_vol  norwegian_krone_annual_vol  new_zealand_dollar_annual_vol  philippine_peso_annual_vol  polish_zloty_annual_vol  romanian_leu_annual_vol  russian_rouble_annual_vol  swedish_krona_annual_vol  singapore_dollar_annual_vol  slovenian_tolar_annual_vol  slovak_koruna_annual_vol  thai_baht_annual_vol  turkish_lira_annual_vol  us_dollar_annual_vol  south_african_rand_annual_vol\n",
       "1999                    0.1287                         NaN                       NaN                      0.1184                    0.0256                     NaN                    0.0096                   0.0694                   0.0020                    0.0000                  0.0718                  0.0245                     0.0913                         NaN                     0.0513                        0.3246                         NaN                       NaN                    0.0489                   0.1445                  0.1130                    0.0914                     0.0669                   0.0784                   0.2085                      0.0914                       0.0569                       0.1293                        0.1208                    0.1142                   0.2024                    0.1963                     0.0556                     0.0966                       0.0456                     0.0569                  0.1250                 0.0614                  0.0924                    0.1311     \n",
       "2000                    0.1270                      0.0098                    0.2621                      0.1507                    0.0441                  0.1376                    0.0116                   0.0452                   0.0032                    0.0000                  0.1112                  0.0066                     0.1374                      0.0169                     0.0159                        0.2169                      0.1479                    0.1448                    0.0811                   0.1650                  0.1640                    0.1376                     0.1035                   0.0640                   0.1662                      0.1373                       0.0533                       0.1461                        0.1688                    0.1251                   0.1414                    0.1533                     0.0618                     0.1391                       0.0207                     0.0471                  0.1597                 0.0832                  0.1376                    0.1273     \n",
       "2001                    0.1273                      0.0058                    0.2217                      0.1149                    0.0456                  0.1115                    0.0170                   0.0468                   0.0030                    0.0000                  0.0755                     NaN                     0.1116                      0.0498                     0.0784                        0.2555                      0.1212                    0.1124                    0.1161                   0.1371                  0.1467                    0.1115                     0.0818                   0.0426                   0.1575                      0.1122                       0.0522                       0.1206                        0.2043                    0.1275                   0.1119                    0.1129                     0.0752                     0.1132                       0.0129                     0.0347                  0.1201                 0.6486                  0.1115                    0.2148     \n",
       "2002                    0.0990                      0.0075                    0.3007                      0.1037                    0.0297                  0.0962                    0.0081                   0.0760                   0.0023                    0.0000                  0.0592                     NaN                     0.0962                      0.0278                     0.0508                        0.1363                      0.1299                    0.0961                    0.0831                   0.0897                  0.0982                    0.0363                     0.0600                   0.0335                   0.1533                      0.0957                       0.0499                       0.1091                        0.0980                    0.1016                   0.0993                    0.0975                     0.0677                     0.0810                       0.0321                     0.0504                  0.0851                 0.1908                  0.0962                    0.1996     \n",
       "2003                    0.0843                      0.0047                    0.2003                      0.0947                    0.0387                  0.1031                    0.0084                   0.0530                   0.0024                    0.0000                  0.0709                     NaN                     0.1030                      0.0344                     0.1017                        0.1114                      0.1256                    0.1010                    0.0798                   0.0941                  0.1110                    0.0014                     0.0599                   0.0316                   0.1627                      0.1024                       0.0680                       0.0903                        0.1068                    0.0934                   0.0597                    0.1011                     0.0509                     0.0869                       0.0082                     0.0412                  0.0946                 0.1606                  0.1031                    0.1846     "
      ]
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       "  <thead>\n",
       "    <tr style=\"text-align: center;\">\n",
       "      <th></th>\n",
       "      <th>australian_dollar_annual_vol</th>\n",
       "      <th>bulgarian_lev_annual_vol</th>\n",
       "      <th>brazilian_real_annual_vol</th>\n",
       "      <th>canadian_dollar_annual_vol</th>\n",
       "      <th>swiss_franc_annual_vol</th>\n",
       "      <th>chinese_yuan_annual_vol</th>\n",
       "      <th>cypriot_pound_annual_vol</th>\n",
       "      <th>czech_koruna_annual_vol</th>\n",
       "      <th>danish_krone_annual_vol</th>\n",
       "      <th>estonian_kroon_annual_vol</th>\n",
       "      <th>uk_pound_annual_vol</th>\n",
       "      <th>greek_drachma_annual_vol</th>\n",
       "      <th>hong_kong_dollar_annual_vol</th>\n",
       "      <th>croatian_kuna_annual_vol</th>\n",
       "      <th>hungarian_forint_annual_vol</th>\n",
       "      <th>indonesian_rupiah_annual_vol</th>\n",
       "      <th>israeli_shekel_annual_vol</th>\n",
       "      <th>indian_rupee_annual_vol</th>\n",
       "      <th>iceland_krona_annual_vol</th>\n",
       "      <th>japanese_yen_annual_vol</th>\n",
       "      <th>korean_won_annual_vol</th>\n",
       "      <th>lithuanian_litas_annual_vol</th>\n",
       "      <th>latvian_lats_annual_vol</th>\n",
       "      <th>maltese_lira_annual_vol</th>\n",
       "      <th>mexican_peso_annual_vol</th>\n",
       "      <th>malaysian_ringgit_annual_vol</th>\n",
       "      <th>norwegian_krone_annual_vol</th>\n",
       "      <th>new_zealand_dollar_annual_vol</th>\n",
       "      <th>philippine_peso_annual_vol</th>\n",
       "      <th>polish_zloty_annual_vol</th>\n",
       "      <th>romanian_leu_annual_vol</th>\n",
       "      <th>russian_rouble_annual_vol</th>\n",
       "      <th>swedish_krona_annual_vol</th>\n",
       "      <th>singapore_dollar_annual_vol</th>\n",
       "      <th>slovenian_tolar_annual_vol</th>\n",
       "      <th>slovak_koruna_annual_vol</th>\n",
       "      <th>thai_baht_annual_vol</th>\n",
       "      <th>turkish_lira_annual_vol</th>\n",
       "      <th>us_dollar_annual_vol</th>\n",
       "      <th>south_african_rand_annual_vol</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>0.1287</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.1184</td>\n",
       "      <td>0.0256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0096</td>\n",
       "      <td>0.0694</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0718</td>\n",
       "      <td>0.0245</td>\n",
       "      <td>0.0913</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0513</td>\n",
       "      <td>0.3246</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0489</td>\n",
       "      <td>0.1445</td>\n",
       "      <td>0.1130</td>\n",
       "      <td>0.0914</td>\n",
       "      <td>0.0669</td>\n",
       "      <td>0.0784</td>\n",
       "      <td>0.2085</td>\n",
       "      <td>0.0914</td>\n",
       "      <td>0.0569</td>\n",
       "      <td>0.1293</td>\n",
       "      <td>0.1208</td>\n",
       "      <td>0.1142</td>\n",
       "      <td>0.2024</td>\n",
       "      <td>0.1963</td>\n",
       "      <td>0.0556</td>\n",
       "      <td>0.0966</td>\n",
       "      <td>0.0456</td>\n",
       "      <td>0.0569</td>\n",
       "      <td>0.1250</td>\n",
       "      <td>0.0614</td>\n",
       "      <td>0.0924</td>\n",
       "      <td>0.1311</td>\n",
       "      <td>1999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>0.1270</td>\n",
       "      <td>0.0098</td>\n",
       "      <td>0.2621</td>\n",
       "      <td>0.1507</td>\n",
       "      <td>0.0441</td>\n",
       "      <td>0.1376</td>\n",
       "      <td>0.0116</td>\n",
       "      <td>0.0452</td>\n",
       "      <td>0.0032</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.1112</td>\n",
       "      <td>0.0066</td>\n",
       "      <td>0.1374</td>\n",
       "      <td>0.0169</td>\n",
       "      <td>0.0159</td>\n",
       "      <td>0.2169</td>\n",
       "      <td>0.1479</td>\n",
       "      <td>0.1448</td>\n",
       "      <td>0.0811</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>0.1640</td>\n",
       "      <td>0.1376</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>0.0640</td>\n",
       "      <td>0.1662</td>\n",
       "      <td>0.1373</td>\n",
       "      <td>0.0533</td>\n",
       "      <td>0.1461</td>\n",
       "      <td>0.1688</td>\n",
       "      <td>0.1251</td>\n",
       "      <td>0.1414</td>\n",
       "      <td>0.1533</td>\n",
       "      <td>0.0618</td>\n",
       "      <td>0.1391</td>\n",
       "      <td>0.0207</td>\n",
       "      <td>0.0471</td>\n",
       "      <td>0.1597</td>\n",
       "      <td>0.0832</td>\n",
       "      <td>0.1376</td>\n",
       "      <td>0.1273</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>0.1273</td>\n",
       "      <td>0.0058</td>\n",
       "      <td>0.2217</td>\n",
       "      <td>0.1149</td>\n",
       "      <td>0.0456</td>\n",
       "      <td>0.1115</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>0.0468</td>\n",
       "      <td>0.0030</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0755</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.1116</td>\n",
       "      <td>0.0498</td>\n",
       "      <td>0.0784</td>\n",
       "      <td>0.2555</td>\n",
       "      <td>0.1212</td>\n",
       "      <td>0.1124</td>\n",
       "      <td>0.1161</td>\n",
       "      <td>0.1371</td>\n",
       "      <td>0.1467</td>\n",
       "      <td>0.1115</td>\n",
       "      <td>0.0818</td>\n",
       "      <td>0.0426</td>\n",
       "      <td>0.1575</td>\n",
       "      <td>0.1122</td>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.1206</td>\n",
       "      <td>0.2043</td>\n",
       "      <td>0.1275</td>\n",
       "      <td>0.1119</td>\n",
       "      <td>0.1129</td>\n",
       "      <td>0.0752</td>\n",
       "      <td>0.1132</td>\n",
       "      <td>0.0129</td>\n",
       "      <td>0.0347</td>\n",
       "      <td>0.1201</td>\n",
       "      <td>0.6486</td>\n",
       "      <td>0.1115</td>\n",
       "      <td>0.2148</td>\n",
       "      <td>2001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>0.0990</td>\n",
       "      <td>0.0075</td>\n",
       "      <td>0.3007</td>\n",
       "      <td>0.1037</td>\n",
       "      <td>0.0297</td>\n",
       "      <td>0.0962</td>\n",
       "      <td>0.0081</td>\n",
       "      <td>0.0760</td>\n",
       "      <td>0.0023</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0592</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0962</td>\n",
       "      <td>0.0278</td>\n",
       "      <td>0.0508</td>\n",
       "      <td>0.1363</td>\n",
       "      <td>0.1299</td>\n",
       "      <td>0.0961</td>\n",
       "      <td>0.0831</td>\n",
       "      <td>0.0897</td>\n",
       "      <td>0.0982</td>\n",
       "      <td>0.0363</td>\n",
       "      <td>0.0600</td>\n",
       "      <td>0.0335</td>\n",
       "      <td>0.1533</td>\n",
       "      <td>0.0957</td>\n",
       "      <td>0.0499</td>\n",
       "      <td>0.1091</td>\n",
       "      <td>0.0980</td>\n",
       "      <td>0.1016</td>\n",
       "      <td>0.0993</td>\n",
       "      <td>0.0975</td>\n",
       "      <td>0.0677</td>\n",
       "      <td>0.0810</td>\n",
       "      <td>0.0321</td>\n",
       "      <td>0.0504</td>\n",
       "      <td>0.0851</td>\n",
       "      <td>0.1908</td>\n",
       "      <td>0.0962</td>\n",
       "      <td>0.1996</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>0.0843</td>\n",
       "      <td>0.0047</td>\n",
       "      <td>0.2003</td>\n",
       "      <td>0.0947</td>\n",
       "      <td>0.0387</td>\n",
       "      <td>0.1031</td>\n",
       "      <td>0.0084</td>\n",
       "      <td>0.0530</td>\n",
       "      <td>0.0024</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0709</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.1030</td>\n",
       "      <td>0.0344</td>\n",
       "      <td>0.1017</td>\n",
       "      <td>0.1114</td>\n",
       "      <td>0.1256</td>\n",
       "      <td>0.1010</td>\n",
       "      <td>0.0798</td>\n",
       "      <td>0.0941</td>\n",
       "      <td>0.1110</td>\n",
       "      <td>0.0014</td>\n",
       "      <td>0.0599</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>0.1627</td>\n",
       "      <td>0.1024</td>\n",
       "      <td>0.0680</td>\n",
       "      <td>0.0903</td>\n",
       "      <td>0.1068</td>\n",
       "      <td>0.0934</td>\n",
       "      <td>0.0597</td>\n",
       "      <td>0.1011</td>\n",
       "      <td>0.0509</td>\n",
       "      <td>0.0869</td>\n",
       "      <td>0.0082</td>\n",
       "      <td>0.0412</td>\n",
       "      <td>0.0946</td>\n",
       "      <td>0.1606</td>\n",
       "      <td>0.1031</td>\n",
       "      <td>0.1846</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      australian_dollar_annual_vol  bulgarian_lev_annual_vol  brazilian_real_annual_vol  canadian_dollar_annual_vol  swiss_franc_annual_vol  chinese_yuan_annual_vol  cypriot_pound_annual_vol  czech_koruna_annual_vol  danish_krone_annual_vol  estonian_kroon_annual_vol  uk_pound_annual_vol  greek_drachma_annual_vol  hong_kong_dollar_annual_vol  croatian_kuna_annual_vol  hungarian_forint_annual_vol  indonesian_rupiah_annual_vol  israeli_shekel_annual_vol  indian_rupee_annual_vol  iceland_krona_annual_vol  japanese_yen_annual_vol  korean_won_annual_vol  lithuanian_litas_annual_vol  latvian_lats_annual_vol  maltese_lira_annual_vol  mexican_peso_annual_vol  malaysian_ringgit_annual_vol  norwegian_krone_annual_vol  new_zealand_dollar_annual_vol  philippine_peso_annual_vol  polish_zloty_annual_vol  romanian_leu_annual_vol  russian_rouble_annual_vol  swedish_krona_annual_vol  singapore_dollar_annual_vol  slovenian_tolar_annual_vol  slovak_koruna_annual_vol  thai_baht_annual_vol  turkish_lira_annual_vol  us_dollar_annual_vol  south_african_rand_annual_vol  year\n",
       "1999                    0.1287                         NaN                       NaN                      0.1184                    0.0256                     NaN                    0.0096                   0.0694                   0.0020                    0.0000                  0.0718                  0.0245                     0.0913                         NaN                     0.0513                        0.3246                         NaN                       NaN                    0.0489                   0.1445                  0.1130                    0.0914                     0.0669                   0.0784                   0.2085                      0.0914                       0.0569                       0.1293                        0.1208                    0.1142                   0.2024                    0.1963                     0.0556                     0.0966                       0.0456                     0.0569                  0.1250                 0.0614                  0.0924                    0.1311       1999\n",
       "2000                    0.1270                      0.0098                    0.2621                      0.1507                    0.0441                  0.1376                    0.0116                   0.0452                   0.0032                    0.0000                  0.1112                  0.0066                     0.1374                      0.0169                     0.0159                        0.2169                      0.1479                    0.1448                    0.0811                   0.1650                  0.1640                    0.1376                     0.1035                   0.0640                   0.1662                      0.1373                       0.0533                       0.1461                        0.1688                    0.1251                   0.1414                    0.1533                     0.0618                     0.1391                       0.0207                     0.0471                  0.1597                 0.0832                  0.1376                    0.1273       2000\n",
       "2001                    0.1273                      0.0058                    0.2217                      0.1149                    0.0456                  0.1115                    0.0170                   0.0468                   0.0030                    0.0000                  0.0755                     NaN                     0.1116                      0.0498                     0.0784                        0.2555                      0.1212                    0.1124                    0.1161                   0.1371                  0.1467                    0.1115                     0.0818                   0.0426                   0.1575                      0.1122                       0.0522                       0.1206                        0.2043                    0.1275                   0.1119                    0.1129                     0.0752                     0.1132                       0.0129                     0.0347                  0.1201                 0.6486                  0.1115                    0.2148       2001\n",
       "2002                    0.0990                      0.0075                    0.3007                      0.1037                    0.0297                  0.0962                    0.0081                   0.0760                   0.0023                    0.0000                  0.0592                     NaN                     0.0962                      0.0278                     0.0508                        0.1363                      0.1299                    0.0961                    0.0831                   0.0897                  0.0982                    0.0363                     0.0600                   0.0335                   0.1533                      0.0957                       0.0499                       0.1091                        0.0980                    0.1016                   0.0993                    0.0975                     0.0677                     0.0810                       0.0321                     0.0504                  0.0851                 0.1908                  0.0962                    0.1996       2002\n",
       "2003                    0.0843                      0.0047                    0.2003                      0.0947                    0.0387                  0.1031                    0.0084                   0.0530                   0.0024                    0.0000                  0.0709                     NaN                     0.1030                      0.0344                     0.1017                        0.1114                      0.1256                    0.1010                    0.0798                   0.0941                  0.1110                    0.0014                     0.0599                   0.0316                   0.1627                      0.1024                       0.0680                       0.0903                        0.1068                    0.0934                   0.0597                    0.1011                     0.0509                     0.0869                       0.0082                     0.0412                  0.0946                 0.1606                  0.1031                    0.1846       2003"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(annual_volatility.head())\n",
    "annual_volatility[\"year\"] = annual_volatility.index\n",
    "display(annual_volatility.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "2ccb1690",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# horizontal bar chart showing volatility\n",
    "from IPython.display import display, HTML\n",
    "plt.barh(y=annual_volatility.iloc[:,40], width=annual_volatility.iloc[:,2])\n",
    "plt.show()\n",
    "# CSS = \"\"\"\n",
    "# .output {\n",
    "#     align-items: center;\n",
    "# }\n",
    "# \"\"\"\n",
    "# HTML('<style>{}</style>'.format(CSS))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "322a66c9",
   "metadata": {},
   "source": [
    "## **Volatility Conclusion**\n",
    "* Stuff\n",
    "* Stuff\n",
    "\n",
    "## **Volatility Map**\n",
    "* Stuff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ef0e4c27",
   "metadata": {},
   "outputs": [],
   "source": [
    "# build and animate the map"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a751c6bf",
   "metadata": {},
   "source": [
    "## **Volatility Map Conclusion**\n",
    "* Stuff\n",
    "* Stuff\n",
    "\n",
    "## **Further Research**\n",
    "Stuff\n",
    "\n",
    "## **Conclusion**\n",
    "Stuff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6cacb66c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# # need this to correctly get year ticks in DQ server\n",
    "# years = mdates.YearLocator() # every year\n",
    "# years_fmt = mdates.DateFormatter('%Y')\n",
    "# for ax in ax1, ax2, ax3, ax4:\n",
    "#     ax.xaxis.set_major_locator(years) # format the x ticks\n",
    "#     ax.xaxis.set_major_formatter(years_fmt)\n",
    "#     fmt_three_years = mdates.MonthLocator(interval = 36) # Major ticks every 3 years\n",
    "#     ax.xaxis.set_major_locator(fmt_three_years)\n",
    "#     ax.set(yticks=[],\n",
    "#            xlabel=\"Year\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}