+ " <td>153</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-15</td>\n",
+ " <td>1440</td>\n",
+ " <td>11</td>\n",
+ " <td>316367</td>\n",
+ " <td>41358</td>\n",
+ " <td>311.0</td>\n",
+ " <td>-7.0</td>\n",
+ " <td>15.50</td>\n",
+ " <td>12.571429</td>\n",
+ " <td>1051.714286</td>\n",
+ " <td>15.062936</td>\n",
+ " <td>10.481632</td>\n",
+ " <td>1903.506790</td>\n",
+ " <td>2735.338743</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>154</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-16</td>\n",
+ " <td>1077</td>\n",
+ " <td>3</td>\n",
+ " <td>317444</td>\n",
+ " <td>41361</td>\n",
+ " <td>-363.0</td>\n",
+ " <td>-8.0</td>\n",
+ " <td>13.00</td>\n",
+ " <td>12.571429</td>\n",
+ " <td>1097.285714</td>\n",
+ " <td>10.440087</td>\n",
+ " <td>10.481632</td>\n",
+ " <td>2746.421476</td>\n",
+ " <td>2735.537132</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>155</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-17</td>\n",
+ " <td>1040</td>\n",
+ " <td>5</td>\n",
+ " <td>318484</td>\n",
+ " <td>41366</td>\n",
+ " <td>-37.0</td>\n",
+ " <td>2.0</td>\n",
+ " <td>9.25</td>\n",
+ " <td>12.571429</td>\n",
+ " <td>1094.142857</td>\n",
+ " <td>7.382256</td>\n",
+ " <td>10.481632</td>\n",
+ " <td>3884.352422</td>\n",
+ " <td>2735.867781</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>156</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-18</td>\n",
+ " <td>713</td>\n",
+ " <td>3</td>\n",
+ " <td>319197</td>\n",
+ " <td>41369</td>\n",
+ " <td>-327.0</td>\n",
+ " <td>-2.0</td>\n",
+ " <td>5.50</td>\n",
+ " <td>10.428571</td>\n",
+ " <td>1079.428571</td>\n",
+ " <td>4.716842</td>\n",
+ " <td>8.114550</td>\n",
+ " <td>6079.585100</td>\n",
+ " <td>3534.098405</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>157</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-19</td>\n",
+ " <td>1089</td>\n",
+ " <td>12</td>\n",
+ " <td>320286</td>\n",
+ " <td>41381</td>\n",
+ " <td>376.0</td>\n",
+ " <td>9.0</td>\n",
+ " <td>5.75</td>\n",
+ " <td>10.285714</td>\n",
+ " <td>1071.000000</td>\n",
+ " <td>4.820571</td>\n",
+ " <td>8.022291</td>\n",
+ " <td>5950.497778</td>\n",
+ " <td>3575.774437</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " dateRep cases deaths cases_culm deaths_culm \\\n",
+ "since_threshold geoId \n",
+ "138 UK 2020-07-31 846 0 302301 41169 \n",
+ "139 UK 2020-08-01 880 20 303181 41189 \n",
+ "140 UK 2020-08-02 771 13 303952 41202 \n",
+ "141 UK 2020-08-03 743 5 304695 41207 \n",
+ "142 UK 2020-08-04 928 1 305623 41208 \n",
+ "143 UK 2020-08-05 670 18 306293 41226 \n",
+ "144 UK 2020-08-06 891 14 307184 41240 \n",
+ "145 UK 2020-08-07 950 18 308134 41258 \n",
+ "146 UK 2020-08-08 871 12 309005 41270 \n",
+ "147 UK 2020-08-09 758 3 309763 41273 \n",
+ "148 UK 2020-08-10 1062 5 310825 41278 \n",
+ "149 UK 2020-08-11 816 18 311641 41296 \n",
+ "150 UK 2020-08-12 1148 13 312789 41309 \n",
+ "151 UK 2020-08-13 1009 20 313798 41329 \n",
+ "152 UK 2020-08-14 1129 18 314927 41347 \n",
+ "153 UK 2020-08-15 1440 11 316367 41358 \n",
+ "154 UK 2020-08-16 1077 3 317444 41361 \n",
+ "155 UK 2020-08-17 1040 5 318484 41366 \n",
+ "156 UK 2020-08-18 713 3 319197 41369 \n",
+ "157 UK 2020-08-19 1089 12 320286 41381 \n",
+ "\n",
+ " cases_diff deaths_diff deaths_m4 deaths_m7 \\\n",
+ "since_threshold geoId \n",
+ "138 UK 83.0 -34.0 14.50 16.142857 \n",
+ "139 UK 34.0 20.0 18.75 14.428571 \n",
+ "140 UK -109.0 -7.0 16.75 14.142857 \n",
+ "141 UK -28.0 -8.0 9.50 13.714286 \n",
+ "142 UK 185.0 -4.0 9.75 13.428571 \n",
+ "143 UK -258.0 17.0 9.25 13.000000 \n",
+ "144 UK 221.0 -4.0 9.50 10.142857 \n",
+ "145 UK 59.0 4.0 12.75 12.714286 \n",
+ "146 UK -79.0 -6.0 15.50 11.571429 \n",
+ "147 UK -113.0 -9.0 11.75 10.142857 \n",
+ "148 UK 304.0 2.0 9.50 10.142857 \n",
+ "149 UK -246.0 13.0 9.50 12.571429 \n",
+ "150 UK 332.0 -5.0 9.75 11.857143 \n",
+ "151 UK -139.0 7.0 14.00 12.714286 \n",
+ "152 UK 120.0 -2.0 17.25 12.714286 \n",
+ "153 UK 311.0 -7.0 15.50 12.571429 \n",
+ "154 UK -363.0 -8.0 13.00 12.571429 \n",
+ "155 UK -37.0 2.0 9.25 12.571429 \n",
+ "156 UK -327.0 -2.0 5.50 10.428571 \n",
+ "157 UK 376.0 9.0 5.75 10.285714 \n",
+ "\n",
+ " cases_m7 deaths_g4 deaths_g7 doubling_time \\\n",
+ "since_threshold geoId \n",
+ "138 UK 552.714286 0.000000 0.000000 inf \n",
+ "139 UK 574.000000 0.000000 0.000000 inf \n",
+ "140 UK 588.857143 0.000000 0.000000 inf \n",
+ "141 UK 634.857143 0.000000 0.000000 inf \n",
+ "142 UK 714.428571 6.004624 0.000000 4757.215218 \n",
+ "143 UK 800.142857 5.848527 0.000000 4886.309798 \n",
+ "144 UK 818.428571 5.957892 0.000000 4798.249763 \n",
+ "145 UK 833.285714 8.206694 9.273227 3485.046367 \n",
+ "146 UK 832.000000 15.274379 8.620615 1873.167925 \n",
+ "147 UK 830.142857 9.759459 6.991392 2931.683481 \n",
+ "148 UK 875.714286 7.544601 6.991392 3792.691701 \n",
+ "149 UK 859.714286 7.544601 10.565457 3794.345420 \n",
+ "150 UK 928.000000 7.697094 10.085523 3720.350193 \n",
+ "151 UK 944.857143 12.368128 10.612734 2316.548351 \n",
+ "152 UK 970.428571 17.036469 10.612734 1682.593988 \n",
+ "153 UK 1051.714286 15.062936 10.481632 1903.506790 \n",
+ "154 UK 1097.285714 10.440087 10.481632 2746.421476 \n",
+ "155 UK 1094.142857 7.382256 10.481632 3884.352422 \n",
+ "156 UK 1079.428571 4.716842 8.114550 6079.585100 \n",
+ "157 UK 1071.000000 4.820571 8.022291 5950.497778 \n",
+ "\n",
+ " doubling_time_7 \n",
+ "since_threshold geoId \n",
+ "138 UK inf \n",
+ "139 UK inf \n",
+ "140 UK inf \n",
+ "141 UK inf \n",
+ "142 UK inf \n",
+ "143 UK inf \n",
+ "144 UK inf \n",
+ "145 UK 3084.263827 \n",
+ "146 UK 3318.692768 \n",
+ "147 UK 4092.273291 \n",
+ "148 UK 4092.769006 \n",
+ "149 UK 2709.572058 \n",
+ "150 UK 2839.387976 \n",
+ "151 UK 2699.658600 \n",
+ "152 UK 2700.834230 \n",
+ "153 UK 2735.338743 \n",
+ "154 UK 2735.537132 \n",
+ "155 UK 2735.867781 \n",
+ "156 UK 3534.098405 \n",
+ "157 UK 3575.774437 "
+ ]
+ },
+ "execution_count": 665,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data_since_threshold.loc[(slice(None), ['UK']), :].tail(20)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 666,
+ "metadata": {},
+ "outputs": [
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+ " <th></th>\n",
+ " <th>dateRep</th>\n",
+ " <th>cases</th>\n",
+ " <th>deaths</th>\n",
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+ " <tr>\n",
+ " <td>142</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-07-30</td>\n",
+ " <td>2789</td>\n",
+ " <td>2</td>\n",
+ " <td>285430</td>\n",
+ " <td>28443</td>\n",
+ " <td>758.0</td>\n",
+ " <td>-3.0</td>\n",
+ " <td>2.75</td>\n",
+ " <td>2.000000</td>\n",
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+ " <tr>\n",
+ " <td>143</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-07-31</td>\n",
+ " <td>3092</td>\n",
+ " <td>2</td>\n",
+ " <td>288522</td>\n",
+ " <td>28445</td>\n",
+ " <td>303.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>2.75</td>\n",
+ " <td>1.857143</td>\n",
+ " <td>2300.142857</td>\n",
+ " <td>2.514867</td>\n",
+ " <td>0.0</td>\n",
+ " <td>7840.352682</td>\n",
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+ " <td>144</td>\n",
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+ " <td>2020-08-01</td>\n",
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+ " <td>2300.142857</td>\n",
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+ " <td>0.0</td>\n",
+ " <td>inf</td>\n",
+ " <td>inf</td>\n",
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+ " <tr>\n",
+ " <td>145</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-02</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>288522</td>\n",
+ " <td>28445</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>1.00</td>\n",
+ " <td>1.857143</td>\n",
+ " <td>2300.142857</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.0</td>\n",
+ " <td>inf</td>\n",
+ " <td>inf</td>\n",
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+ " <tr>\n",
+ " <td>146</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-03</td>\n",
+ " <td>8532</td>\n",
+ " <td>27</td>\n",
+ " <td>297054</td>\n",
+ " <td>28472</td>\n",
+ " <td>8532.0</td>\n",
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+ " <td>7.25</td>\n",
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+ " <td>147</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-04</td>\n",
+ " <td>5760</td>\n",
+ " <td>26</td>\n",
+ " <td>302814</td>\n",
+ " <td>28498</td>\n",
+ " <td>-2772.0</td>\n",
+ " <td>-1.0</td>\n",
+ " <td>13.25</td>\n",
+ " <td>8.857143</td>\n",
+ " <td>3172.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.0</td>\n",
+ " <td>inf</td>\n",
+ " <td>inf</td>\n",
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+ " <tr>\n",
+ " <td>148</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-05</td>\n",
+ " <td>2953</td>\n",
+ " <td>1</td>\n",
+ " <td>305767</td>\n",
+ " <td>28499</td>\n",
+ " <td>-2807.0</td>\n",
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+ " <td>149</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-06</td>\n",
+ " <td>4088</td>\n",
+ " <td>1</td>\n",
+ " <td>309855</td>\n",
+ " <td>28500</td>\n",
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+ " <td>13.75</td>\n",
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+ " <td>3489.285714</td>\n",
+ " <td>5.147357</td>\n",
+ " <td>0.0</td>\n",
+ " <td>3838.179299</td>\n",
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+ " <td>150</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-07</td>\n",
+ " <td>4507</td>\n",
+ " <td>3</td>\n",
+ " <td>314362</td>\n",
+ " <td>28503</td>\n",
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+ " <td>2.971828</td>\n",
+ " <td>0.0</td>\n",
+ " <td>6648.367576</td>\n",
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+ " <td>151</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-08</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>314362</td>\n",
+ " <td>28503</td>\n",
+ " <td>-4507.0</td>\n",
+ " <td>-3.0</td>\n",
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+ " <td>8.285714</td>\n",
+ " <td>3691.428571</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.0</td>\n",
+ " <td>inf</td>\n",
+ " <td>inf</td>\n",
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+ " <tr>\n",
+ " <td>152</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-09</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>314362</td>\n",
+ " <td>28503</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>1.00</td>\n",
+ " <td>8.285714</td>\n",
+ " <td>3691.428571</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.0</td>\n",
+ " <td>inf</td>\n",
+ " <td>inf</td>\n",
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+ " <tr>\n",
+ " <td>153</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-10</td>\n",
+ " <td>8618</td>\n",
+ " <td>73</td>\n",
+ " <td>322980</td>\n",
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+ " <td>154</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-11</td>\n",
+ " <td>3632</td>\n",
+ " <td>5</td>\n",
+ " <td>326612</td>\n",
+ " <td>28581</td>\n",
+ " <td>-4986.0</td>\n",
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+ " <td>19.50</td>\n",
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+ " <td>0.0</td>\n",
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+ " <td>inf</td>\n",
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+ " <tr>\n",
+ " <td>155</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-12</td>\n",
+ " <td>3172</td>\n",
+ " <td>-2</td>\n",
+ " <td>329784</td>\n",
+ " <td>28579</td>\n",
+ " <td>-460.0</td>\n",
+ " <td>-7.0</td>\n",
+ " <td>19.00</td>\n",
+ " <td>11.428571</td>\n",
+ " <td>3431.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
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+ " <tr>\n",
+ " <td>156</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-13</td>\n",
+ " <td>7550</td>\n",
+ " <td>26</td>\n",
+ " <td>337334</td>\n",
+ " <td>28605</td>\n",
+ " <td>4378.0</td>\n",
+ " <td>28.0</td>\n",
+ " <td>25.50</td>\n",
+ " <td>15.000000</td>\n",
+ " <td>3925.571429</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
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+ " <tr>\n",
+ " <td>157</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-14</td>\n",
+ " <td>5479</td>\n",
+ " <td>12</td>\n",
+ " <td>342813</td>\n",
+ " <td>28617</td>\n",
+ " <td>-2071.0</td>\n",
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+ " <td>16.285714</td>\n",
+ " <td>4064.428571</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
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+ " <tr>\n",
+ " <td>158</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-15</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>342813</td>\n",
+ " <td>28617</td>\n",
+ " <td>-5479.0</td>\n",
+ " <td>-12.0</td>\n",
+ " <td>9.00</td>\n",
+ " <td>16.285714</td>\n",
+ " <td>4064.428571</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>159</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-16</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>342813</td>\n",
+ " <td>28617</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>9.50</td>\n",
+ " <td>16.285714</td>\n",
+ " <td>4064.428571</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>inf</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>160</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-17</td>\n",
+ " <td>16269</td>\n",
+ " <td>29</td>\n",
+ " <td>359082</td>\n",
+ " <td>28646</td>\n",
+ " <td>16269.0</td>\n",
+ " <td>29.0</td>\n",
+ " <td>10.25</td>\n",
+ " <td>10.000000</td>\n",
+ " <td>5157.428571</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>inf</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>161</td>\n",
+ " <td>ES</td>\n",
+ " <td>2020-08-18</td>\n",
+ " <td>5114</td>\n",
+ " <td>24</td>\n",
+ " <td>364196</td>\n",
+ " <td>28670</td>\n",
+ " <td>-11155.0</td>\n",
+ " <td>-5.0</td>\n",
+ " <td>13.25</td>\n",
+ " <td>12.714286</td>\n",
+ " <td>5369.142857</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>inf</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " dateRep cases deaths cases_culm deaths_culm \\\n",
+ "since_threshold geoId \n",
+ "142 ES 2020-07-30 2789 2 285430 28443 \n",
+ "143 ES 2020-07-31 3092 2 288522 28445 \n",
+ "144 ES 2020-08-01 0 0 288522 28445 \n",
+ "145 ES 2020-08-02 0 0 288522 28445 \n",
+ "146 ES 2020-08-03 8532 27 297054 28472 \n",
+ "147 ES 2020-08-04 5760 26 302814 28498 \n",
+ "148 ES 2020-08-05 2953 1 305767 28499 \n",
+ "149 ES 2020-08-06 4088 1 309855 28500 \n",
+ "150 ES 2020-08-07 4507 3 314362 28503 \n",
+ "151 ES 2020-08-08 0 0 314362 28503 \n",
+ "152 ES 2020-08-09 0 0 314362 28503 \n",
+ "153 ES 2020-08-10 8618 73 322980 28576 \n",
+ "154 ES 2020-08-11 3632 5 326612 28581 \n",
+ "155 ES 2020-08-12 3172 -2 329784 28579 \n",
+ "156 ES 2020-08-13 7550 26 337334 28605 \n",
+ "157 ES 2020-08-14 5479 12 342813 28617 \n",
+ "158 ES 2020-08-15 0 0 342813 28617 \n",
+ "159 ES 2020-08-16 0 0 342813 28617 \n",
+ "160 ES 2020-08-17 16269 29 359082 28646 \n",
+ "161 ES 2020-08-18 5114 24 364196 28670 \n",
+ "\n",
+ " cases_diff deaths_diff deaths_m4 deaths_m7 \\\n",
+ "since_threshold geoId \n",
+ "142 ES 758.0 -3.0 2.75 2.000000 \n",
+ "143 ES 303.0 0.0 2.75 1.857143 \n",
+ "144 ES -3092.0 -2.0 2.25 1.857143 \n",
+ "145 ES 0.0 0.0 1.00 1.857143 \n",
+ "146 ES 8532.0 27.0 7.25 5.428571 \n",
+ "147 ES -2772.0 -1.0 13.25 8.857143 \n",
+ "148 ES -2807.0 -25.0 13.50 8.285714 \n",
+ "149 ES 1135.0 0.0 13.75 8.142857 \n",
+ "150 ES 419.0 2.0 7.75 8.285714 \n",
+ "151 ES -4507.0 -3.0 1.25 8.285714 \n",
+ "152 ES 0.0 0.0 1.00 8.285714 \n",
+ "153 ES 8618.0 73.0 19.00 14.857143 \n",
+ "154 ES -4986.0 -68.0 19.50 11.857143 \n",
+ "155 ES -460.0 -7.0 19.00 11.428571 \n",
+ "156 ES 4378.0 28.0 25.50 15.000000 \n",
+ "157 ES -2071.0 -14.0 10.25 16.285714 \n",
+ "158 ES -5479.0 -12.0 9.00 16.285714 \n",
+ "159 ES 0.0 0.0 9.50 16.285714 \n",
+ "160 ES 16269.0 29.0 10.25 10.000000 \n",
+ "161 ES -11155.0 -5.0 13.25 12.714286 \n",
+ "\n",
+ " cases_m7 deaths_g4 deaths_g7 doubling_time \\\n",
+ "since_threshold geoId \n",
+ "142 ES 2180.571429 2.514867 0.0 7839.801442 \n",
+ "143 ES 2300.142857 2.514867 0.0 7840.352682 \n",
+ "144 ES 2300.142857 0.000000 0.0 inf \n",
+ "145 ES 2300.142857 0.000000 0.0 inf \n",
+ "146 ES 2610.285714 0.000000 0.0 inf \n",
+ "147 ES 3172.000000 0.000000 0.0 inf \n",
+ "148 ES 3303.714286 0.000000 0.0 inf \n",
+ "149 ES 3489.285714 5.147357 0.0 3838.179299 \n",
+ "150 ES 3691.428571 2.971828 0.0 6648.367576 \n",
+ "151 ES 3691.428571 0.000000 0.0 inf \n",
+ "152 ES 3691.428571 0.000000 0.0 inf \n",
+ "153 ES 3703.714286 0.000000 0.0 inf \n",
+ "154 ES 3399.714286 0.000000 0.0 inf \n",
+ "155 ES 3431.000000 NaN NaN NaN \n",
+ "156 ES 3925.571429 NaN NaN NaN \n",
+ "157 ES 4064.428571 NaN NaN NaN \n",
+ "158 ES 4064.428571 NaN NaN NaN \n",
+ "159 ES 4064.428571 0.000000 NaN inf \n",
+ "160 ES 5157.428571 0.000000 NaN inf \n",
+ "161 ES 5369.142857 0.000000 NaN inf \n",
+ "\n",
+ " doubling_time_7 \n",
+ "since_threshold geoId \n",
+ "142 ES inf \n",
+ "143 ES inf \n",
+ "144 ES inf \n",
+ "145 ES inf \n",
+ "146 ES inf \n",
+ "147 ES inf \n",
+ "148 ES inf \n",
+ "149 ES inf \n",
+ "150 ES inf \n",
+ "151 ES inf \n",
+ "152 ES inf \n",
+ "153 ES inf \n",
+ "154 ES inf \n",
+ "155 ES NaN \n",
+ "156 ES NaN \n",
+ "157 ES NaN \n",
+ "158 ES NaN \n",
+ "159 ES NaN \n",
+ "160 ES NaN \n",
+ "161 ES NaN "
+ ]
+ },
+ "execution_count": 666,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data_since_threshold.loc[(slice(None), ['ES']), :].tail(20)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Death projections"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 667,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
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+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th>dateRep</th>\n",
+ " <th>cases</th>\n",
+ " <th>deaths</th>\n",
+ " <th>cases_culm</th>\n",
+ " <th>deaths_culm</th>\n",
+ " <th>cases_diff</th>\n",
+ " <th>deaths_diff</th>\n",
+ " <th>deaths_m4</th>\n",
+ " <th>deaths_m7</th>\n",
+ " <th>cases_m7</th>\n",
+ " <th>deaths_g4</th>\n",
+ " <th>deaths_g7</th>\n",
+ " <th>doubling_time</th>\n",
+ " <th>doubling_time_7</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>since_threshold</th>\n",
+ " <th>geoId</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>143</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-05</td>\n",
+ " <td>670</td>\n",
+ " <td>18</td>\n",
+ " <td>306293</td>\n",
+ " <td>41226</td>\n",
+ " <td>-258.0</td>\n",
+ " <td>17.0</td>\n",
+ " <td>9.25</td>\n",
+ " <td>13.000000</td>\n",
+ " <td>800.142857</td>\n",
+ " <td>5.848527</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>4886.309798</td>\n",
+ " <td>inf</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>144</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-06</td>\n",
+ " <td>891</td>\n",
+ " <td>14</td>\n",
+ " <td>307184</td>\n",
+ " <td>41240</td>\n",
+ " <td>221.0</td>\n",
+ " <td>-4.0</td>\n",
+ " <td>9.50</td>\n",
+ " <td>10.142857</td>\n",
+ " <td>818.428571</td>\n",
+ " <td>5.957892</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>4798.249763</td>\n",
+ " <td>inf</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>145</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-07</td>\n",
+ " <td>950</td>\n",
+ " <td>18</td>\n",
+ " <td>308134</td>\n",
+ " <td>41258</td>\n",
+ " <td>59.0</td>\n",
+ " <td>4.0</td>\n",
+ " <td>12.75</td>\n",
+ " <td>12.714286</td>\n",
+ " <td>833.285714</td>\n",
+ " <td>8.206694</td>\n",
+ " <td>9.273227</td>\n",
+ " <td>3485.046367</td>\n",
+ " <td>3084.263827</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>146</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-08</td>\n",
+ " <td>871</td>\n",
+ " <td>12</td>\n",
+ " <td>309005</td>\n",
+ " <td>41270</td>\n",
+ " <td>-79.0</td>\n",
+ " <td>-6.0</td>\n",
+ " <td>15.50</td>\n",
+ " <td>11.571429</td>\n",
+ " <td>832.000000</td>\n",
+ " <td>15.274379</td>\n",
+ " <td>8.620615</td>\n",
+ " <td>1873.167925</td>\n",
+ " <td>3318.692768</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>147</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-09</td>\n",
+ " <td>758</td>\n",
+ " <td>3</td>\n",
+ " <td>309763</td>\n",
+ " <td>41273</td>\n",
+ " <td>-113.0</td>\n",
+ " <td>-9.0</td>\n",
+ " <td>11.75</td>\n",
+ " <td>10.142857</td>\n",
+ " <td>830.142857</td>\n",
+ " <td>9.759459</td>\n",
+ " <td>6.991392</td>\n",
+ " <td>2931.683481</td>\n",
+ " <td>4092.273291</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>148</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-10</td>\n",
+ " <td>1062</td>\n",
+ " <td>5</td>\n",
+ " <td>310825</td>\n",
+ " <td>41278</td>\n",
+ " <td>304.0</td>\n",
+ " <td>2.0</td>\n",
+ " <td>9.50</td>\n",
+ " <td>10.142857</td>\n",
+ " <td>875.714286</td>\n",
+ " <td>7.544601</td>\n",
+ " <td>6.991392</td>\n",
+ " <td>3792.691701</td>\n",
+ " <td>4092.769006</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>149</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-11</td>\n",
+ " <td>816</td>\n",
+ " <td>18</td>\n",
+ " <td>311641</td>\n",
+ " <td>41296</td>\n",
+ " <td>-246.0</td>\n",
+ " <td>13.0</td>\n",
+ " <td>9.50</td>\n",
+ " <td>12.571429</td>\n",
+ " <td>859.714286</td>\n",
+ " <td>7.544601</td>\n",
+ " <td>10.565457</td>\n",
+ " <td>3794.345420</td>\n",
+ " <td>2709.572058</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>150</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-12</td>\n",
+ " <td>1148</td>\n",
+ " <td>13</td>\n",
+ " <td>312789</td>\n",
+ " <td>41309</td>\n",
+ " <td>332.0</td>\n",
+ " <td>-5.0</td>\n",
+ " <td>9.75</td>\n",
+ " <td>11.857143</td>\n",
+ " <td>928.000000</td>\n",
+ " <td>7.697094</td>\n",
+ " <td>10.085523</td>\n",
+ " <td>3720.350193</td>\n",
+ " <td>2839.387976</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>151</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-13</td>\n",
+ " <td>1009</td>\n",
+ " <td>20</td>\n",
+ " <td>313798</td>\n",
+ " <td>41329</td>\n",
+ " <td>-139.0</td>\n",
+ " <td>7.0</td>\n",
+ " <td>14.00</td>\n",
+ " <td>12.714286</td>\n",
+ " <td>944.857143</td>\n",
+ " <td>12.368128</td>\n",
+ " <td>10.612734</td>\n",
+ " <td>2316.548351</td>\n",
+ " <td>2699.658600</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>152</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-14</td>\n",
+ " <td>1129</td>\n",
+ " <td>18</td>\n",
+ " <td>314927</td>\n",
+ " <td>41347</td>\n",
+ " <td>120.0</td>\n",
+ " <td>-2.0</td>\n",
+ " <td>17.25</td>\n",
+ " <td>12.714286</td>\n",
+ " <td>970.428571</td>\n",
+ " <td>17.036469</td>\n",
+ " <td>10.612734</td>\n",
+ " <td>1682.593988</td>\n",
+ " <td>2700.834230</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>153</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-15</td>\n",
+ " <td>1440</td>\n",
+ " <td>11</td>\n",
+ " <td>316367</td>\n",
+ " <td>41358</td>\n",
+ " <td>311.0</td>\n",
+ " <td>-7.0</td>\n",
+ " <td>15.50</td>\n",
+ " <td>12.571429</td>\n",
+ " <td>1051.714286</td>\n",
+ " <td>15.062936</td>\n",
+ " <td>10.481632</td>\n",
+ " <td>1903.506790</td>\n",
+ " <td>2735.338743</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>154</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-16</td>\n",
+ " <td>1077</td>\n",
+ " <td>3</td>\n",
+ " <td>317444</td>\n",
+ " <td>41361</td>\n",
+ " <td>-363.0</td>\n",
+ " <td>-8.0</td>\n",
+ " <td>13.00</td>\n",
+ " <td>12.571429</td>\n",
+ " <td>1097.285714</td>\n",
+ " <td>10.440087</td>\n",
+ " <td>10.481632</td>\n",
+ " <td>2746.421476</td>\n",
+ " <td>2735.537132</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>155</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-17</td>\n",
+ " <td>1040</td>\n",
+ " <td>5</td>\n",
+ " <td>318484</td>\n",
+ " <td>41366</td>\n",
+ " <td>-37.0</td>\n",
+ " <td>2.0</td>\n",
+ " <td>9.25</td>\n",
+ " <td>12.571429</td>\n",
+ " <td>1094.142857</td>\n",
+ " <td>7.382256</td>\n",
+ " <td>10.481632</td>\n",
+ " <td>3884.352422</td>\n",
+ " <td>2735.867781</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>156</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-18</td>\n",
+ " <td>713</td>\n",
+ " <td>3</td>\n",
+ " <td>319197</td>\n",
+ " <td>41369</td>\n",
+ " <td>-327.0</td>\n",
+ " <td>-2.0</td>\n",
+ " <td>5.50</td>\n",
+ " <td>10.428571</td>\n",
+ " <td>1079.428571</td>\n",
+ " <td>4.716842</td>\n",
+ " <td>8.114550</td>\n",
+ " <td>6079.585100</td>\n",
+ " <td>3534.098405</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>157</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-08-19</td>\n",
+ " <td>1089</td>\n",
+ " <td>12</td>\n",
+ " <td>320286</td>\n",
+ " <td>41381</td>\n",
+ " <td>376.0</td>\n",
+ " <td>9.0</td>\n",
+ " <td>5.75</td>\n",
+ " <td>10.285714</td>\n",
+ " <td>1071.000000</td>\n",
+ " <td>4.820571</td>\n",
+ " <td>8.022291</td>\n",
+ " <td>5950.497778</td>\n",
+ " <td>3575.774437</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " dateRep cases deaths cases_culm deaths_culm \\\n",
+ "since_threshold geoId \n",
+ "143 UK 2020-08-05 670 18 306293 41226 \n",
+ "144 UK 2020-08-06 891 14 307184 41240 \n",
+ "145 UK 2020-08-07 950 18 308134 41258 \n",
+ "146 UK 2020-08-08 871 12 309005 41270 \n",
+ "147 UK 2020-08-09 758 3 309763 41273 \n",
+ "148 UK 2020-08-10 1062 5 310825 41278 \n",
+ "149 UK 2020-08-11 816 18 311641 41296 \n",
+ "150 UK 2020-08-12 1148 13 312789 41309 \n",
+ "151 UK 2020-08-13 1009 20 313798 41329 \n",
+ "152 UK 2020-08-14 1129 18 314927 41347 \n",
+ "153 UK 2020-08-15 1440 11 316367 41358 \n",
+ "154 UK 2020-08-16 1077 3 317444 41361 \n",
+ "155 UK 2020-08-17 1040 5 318484 41366 \n",
+ "156 UK 2020-08-18 713 3 319197 41369 \n",
+ "157 UK 2020-08-19 1089 12 320286 41381 \n",
+ "\n",
+ " cases_diff deaths_diff deaths_m4 deaths_m7 \\\n",
+ "since_threshold geoId \n",
+ "143 UK -258.0 17.0 9.25 13.000000 \n",
+ "144 UK 221.0 -4.0 9.50 10.142857 \n",
+ "145 UK 59.0 4.0 12.75 12.714286 \n",
+ "146 UK -79.0 -6.0 15.50 11.571429 \n",
+ "147 UK -113.0 -9.0 11.75 10.142857 \n",
+ "148 UK 304.0 2.0 9.50 10.142857 \n",
+ "149 UK -246.0 13.0 9.50 12.571429 \n",
+ "150 UK 332.0 -5.0 9.75 11.857143 \n",
+ "151 UK -139.0 7.0 14.00 12.714286 \n",
+ "152 UK 120.0 -2.0 17.25 12.714286 \n",
+ "153 UK 311.0 -7.0 15.50 12.571429 \n",
+ "154 UK -363.0 -8.0 13.00 12.571429 \n",
+ "155 UK -37.0 2.0 9.25 12.571429 \n",
+ "156 UK -327.0 -2.0 5.50 10.428571 \n",
+ "157 UK 376.0 9.0 5.75 10.285714 \n",
+ "\n",
+ " cases_m7 deaths_g4 deaths_g7 doubling_time \\\n",
+ "since_threshold geoId \n",
+ "143 UK 800.142857 5.848527 0.000000 4886.309798 \n",
+ "144 UK 818.428571 5.957892 0.000000 4798.249763 \n",
+ "145 UK 833.285714 8.206694 9.273227 3485.046367 \n",
+ "146 UK 832.000000 15.274379 8.620615 1873.167925 \n",
+ "147 UK 830.142857 9.759459 6.991392 2931.683481 \n",
+ "148 UK 875.714286 7.544601 6.991392 3792.691701 \n",
+ "149 UK 859.714286 7.544601 10.565457 3794.345420 \n",
+ "150 UK 928.000000 7.697094 10.085523 3720.350193 \n",
+ "151 UK 944.857143 12.368128 10.612734 2316.548351 \n",
+ "152 UK 970.428571 17.036469 10.612734 1682.593988 \n",
+ "153 UK 1051.714286 15.062936 10.481632 1903.506790 \n",
+ "154 UK 1097.285714 10.440087 10.481632 2746.421476 \n",
+ "155 UK 1094.142857 7.382256 10.481632 3884.352422 \n",
+ "156 UK 1079.428571 4.716842 8.114550 6079.585100 \n",
+ "157 UK 1071.000000 4.820571 8.022291 5950.497778 \n",
+ "\n",
+ " doubling_time_7 \n",
+ "since_threshold geoId \n",
+ "143 UK inf \n",
+ "144 UK inf \n",
+ "145 UK 3084.263827 \n",
+ "146 UK 3318.692768 \n",
+ "147 UK 4092.273291 \n",
+ "148 UK 4092.769006 \n",
+ "149 UK 2709.572058 \n",
+ "150 UK 2839.387976 \n",
+ "151 UK 2699.658600 \n",
+ "152 UK 2700.834230 \n",
+ "153 UK 2735.338743 \n",
+ "154 UK 2735.537132 \n",
+ "155 UK 2735.867781 \n",
+ "156 UK 3534.098405 \n",
+ "157 UK 3575.774437 "
+ ]
+ },
+ "execution_count": 667,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data_since_threshold.loc[(slice(None), ['UK']), :].tail(15)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 668,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "175"
+ ]
+ },
+ "execution_count": 668,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "it_since_threshold = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['IT']), :]\n",
+ "s_end = it_since_threshold.index.max()[0]\n",
+ "s_end"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 669,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "158"
+ ]
+ },
+ "execution_count": 669,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "uk_projection = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), :]\n",
+ "uk_current_end = uk_projection.index.max()[0] + 1\n",
+ "# s_start = uk_projection.index.max()[0] + 1\n",
+ "uk_current_end"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 670,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "10.285714285714286"
+ ]
+ },
+ "execution_count": 670,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "current_uk_deaths_m7 = uk_projection[uk_projection.deaths_m7 >= 0].iloc[-1].deaths_m7\n",
+ "current_uk_deaths_m7"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 671,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "150"
+ ]
+ },
+ "execution_count": 671,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "it_since_threshold[it_since_threshold.deaths_m7 <= current_uk_deaths_m7].loc[60:].first_valid_index()[0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 672,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "150"
+ ]
+ },
+ "execution_count": 672,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "s_start = it_since_threshold[it_since_threshold.deaths_m7 <= current_uk_deaths_m7].loc[60:].first_valid_index()[0]\n",
+ "s_start"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 673,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Timestamp('2020-05-25 00:00:00')"
+ ]
+ },
+ "execution_count": 673,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "s_start_date = data_since_threshold.loc[(89, 'IT'), 'dateRep']# .iloc[0]\n",
+ "s_start_date"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 674,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "25"
+ ]
+ },
+ "execution_count": 674,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "s_end - s_start"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 675,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "183"
+ ]
+ },
+ "execution_count": 675,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "uk_end = s_end - s_start + uk_current_end\n",
+ "uk_end"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 676,
+ "metadata": {},
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+ " cases deaths deaths_m7\n",
+ "since_threshold geoId \n",
+ "158 UK 252 5 9.857143\n",
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+ "160 UK 254 5 8.857143\n",
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+ "165 UK 379 9 6.285714\n",
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+ "168 UK 159 12 7.714286\n",
+ "169 UK 190 5 6.857143\n",
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+ "171 UK 401 6 7.857143\n",
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+ "173 UK 347 13 8.142857\n",
+ "174 UK 463 2 7.285714\n",
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+ ]
+ },
+ "execution_count": 676,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "proj = it_since_threshold.loc[(slice(s_start, s_end), slice(None)), ['cases', 'deaths', 'deaths_m7']]\n",
+ "ndiff = uk_current_end - s_start\n",
+ "proj.index = pd.MultiIndex.from_tuples([(n + ndiff, 'UK') for n, _ in proj.index], names=proj.index.names)\n",
+ "proj"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 677,
+ "metadata": {},
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+ " cases deaths deaths_m7\n",
+ "since_threshold geoId \n",
+ "142 IT 230 20 13.000000\n",
+ "143 IT 231 11 12.857143\n",
+ "144 IT 249 14 13.857143\n",
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+ "146 IT 190 13 13.000000\n",
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+ "150 IT 252 5 9.857143\n",
+ "151 IT 274 5 8.571429\n",
+ "152 IT 254 5 8.857143"
+ ]
+ },
+ "execution_count": 677,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "it_since_threshold.loc[(slice(s_start - 8, s_start + 2), slice(None)), ['cases', 'deaths', 'deaths_m7']]"
+ ]
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+ {
+ "cell_type": "code",
+ "execution_count": 678,
+ "metadata": {},
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+ " cases deaths deaths_m7\n",
+ "since_threshold geoId \n",
+ "153 UK 1440 11 12.571429\n",
+ "154 UK 1077 3 12.571429\n",
+ "155 UK 1040 5 12.571429\n",
+ "156 UK 713 3 10.428571\n",
+ "157 UK 1089 12 10.285714"
+ ]
+ },
+ "execution_count": 678,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "uk_projection[['cases', 'deaths', 'deaths_m7']].tail()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 679,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# proj['deaths_m7'] = proj['deaths_m7'] + 20\n",
+ "# proj"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Projected deaths, UK following IT trend from now."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 680,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "41684"
+ ]
+ },
+ "execution_count": 680,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "uk_projection = uk_projection.append(proj, sort=True)\n",
+ "uk_projection.deaths.sum()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 681,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
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+ " .dataframe tbody tr th {\n",
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+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>cases</th>\n",
+ " <th>cases_culm</th>\n",
+ " <th>cases_diff</th>\n",
+ " <th>cases_m7</th>\n",
+ " <th>dateRep</th>\n",
+ " <th>deaths</th>\n",
+ " <th>deaths_culm</th>\n",
+ " <th>deaths_diff</th>\n",
+ " <th>deaths_g4</th>\n",
+ " <th>deaths_g7</th>\n",
+ " <th>deaths_m4</th>\n",
+ " <th>deaths_m7</th>\n",
+ " <th>doubling_time</th>\n",
+ " <th>doubling_time_7</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>since_threshold</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>0</td>\n",
+ " <td>478</td>\n",
+ " <td>2244.0</td>\n",
+ " <td>-6.0</td>\n",
+ " <td>478.0</td>\n",
+ " <td>2020-03-15</td>\n",
+ " <td>19</td>\n",
+ " <td>29.0</td>\n",
+ " <td>18.0</td>\n",
+ " <td>19.000000</td>\n",
+ " <td>19.000000</td>\n",
+ " <td>19.000000</td>\n",
+ " <td>19.000000</td>\n",
+ " <td>1.375551</td>\n",
+ " <td>1.375551</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>1</td>\n",
+ " <td>361</td>\n",
+ " <td>2605.0</td>\n",
+ " <td>-117.0</td>\n",
+ " <td>419.5</td>\n",
+ " <td>2020-03-16</td>\n",
+ " <td>14</td>\n",
+ " <td>43.0</td>\n",
+ " <td>-5.0</td>\n",
+ " <td>16.309506</td>\n",
+ " <td>16.309506</td>\n",
+ " <td>16.500000</td>\n",
+ " <td>16.500000</td>\n",
+ " <td>2.155513</td>\n",
+ " <td>2.155513</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2</td>\n",
+ " <td>442</td>\n",
+ " <td>3047.0</td>\n",
+ " <td>81.0</td>\n",
+ " <td>427.0</td>\n",
+ " <td>2020-03-17</td>\n",
+ " <td>22</td>\n",
+ " <td>65.0</td>\n",
+ " <td>8.0</td>\n",
+ " <td>18.020553</td>\n",
+ " <td>18.020553</td>\n",
+ " <td>18.333333</td>\n",
+ " <td>18.333333</td>\n",
+ " <td>2.832630</td>\n",
+ " <td>2.832630</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>3</td>\n",
+ " <td>611</td>\n",
+ " <td>3658.0</td>\n",
+ " <td>169.0</td>\n",
+ " <td>473.0</td>\n",
+ " <td>2020-03-18</td>\n",
+ " <td>17</td>\n",
+ " <td>82.0</td>\n",
+ " <td>-5.0</td>\n",
+ " <td>17.759810</td>\n",
+ " <td>17.759810</td>\n",
+ " <td>18.000000</td>\n",
+ " <td>18.000000</td>\n",
+ " <td>3.535633</td>\n",
+ " <td>3.535633</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>4</td>\n",
+ " <td>769</td>\n",
+ " <td>4427.0</td>\n",
+ " <td>158.0</td>\n",
+ " <td>532.2</td>\n",
+ " <td>2020-03-19</td>\n",
+ " <td>34</td>\n",
+ " <td>116.0</td>\n",
+ " <td>17.0</td>\n",
+ " <td>20.540908</td>\n",
+ " <td>20.223040</td>\n",
+ " <td>21.750000</td>\n",
+ " <td>21.200000</td>\n",
+ " <td>4.251548</td>\n",
+ " <td>4.313209</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>179</td>\n",
+ " <td>574</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaT</td>\n",
+ " <td>3</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>6.285714</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>180</td>\n",
+ " <td>629</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaT</td>\n",
+ " <td>158</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>27.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>181</td>\n",
+ " <td>477</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaT</td>\n",
+ " <td>4</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>27.285714</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>182</td>\n",
+ " <td>320</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaT</td>\n",
+ " <td>4</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>27.285714</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>183</td>\n",
+ " <td>401</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaT</td>\n",
+ " <td>5</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>27.142857</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>184 rows × 14 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " cases cases_culm cases_diff cases_m7 dateRep deaths \\\n",
+ "since_threshold \n",
+ "0 478 2244.0 -6.0 478.0 2020-03-15 19 \n",
+ "1 361 2605.0 -117.0 419.5 2020-03-16 14 \n",
+ "2 442 3047.0 81.0 427.0 2020-03-17 22 \n",
+ "3 611 3658.0 169.0 473.0 2020-03-18 17 \n",
+ "4 769 4427.0 158.0 532.2 2020-03-19 34 \n",
+ "... ... ... ... ... ... ... \n",
+ "179 574 NaN NaN NaN NaT 3 \n",
+ "180 629 NaN NaN NaN NaT 158 \n",
+ "181 477 NaN NaN NaN NaT 4 \n",
+ "182 320 NaN NaN NaN NaT 4 \n",
+ "183 401 NaN NaN NaN NaT 5 \n",
+ "\n",
+ " deaths_culm deaths_diff deaths_g4 deaths_g7 deaths_m4 \\\n",
+ "since_threshold \n",
+ "0 29.0 18.0 19.000000 19.000000 19.000000 \n",
+ "1 43.0 -5.0 16.309506 16.309506 16.500000 \n",
+ "2 65.0 8.0 18.020553 18.020553 18.333333 \n",
+ "3 82.0 -5.0 17.759810 17.759810 18.000000 \n",
+ "4 116.0 17.0 20.540908 20.223040 21.750000 \n",
+ "... ... ... ... ... ... \n",
+ "179 NaN NaN NaN NaN NaN \n",
+ "180 NaN NaN NaN NaN NaN \n",
+ "181 NaN NaN NaN NaN NaN \n",
+ "182 NaN NaN NaN NaN NaN \n",
+ "183 NaN NaN NaN NaN NaN \n",
+ "\n",
+ " deaths_m7 doubling_time doubling_time_7 \n",
+ "since_threshold \n",
+ "0 19.000000 1.375551 1.375551 \n",
+ "1 16.500000 2.155513 2.155513 \n",
+ "2 18.333333 2.832630 2.832630 \n",
+ "3 18.000000 3.535633 3.535633 \n",
+ "4 21.200000 4.251548 4.313209 \n",
+ "... ... ... ... \n",
+ "179 6.285714 NaN NaN \n",
+ "180 27.000000 NaN NaN \n",
+ "181 27.285714 NaN NaN \n",
+ "182 27.285714 NaN NaN \n",
+ "183 27.142857 NaN NaN \n",
+ "\n",
+ "[184 rows x 14 columns]"
+ ]
+ },
+ "execution_count": 681,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "uk_projection = uk_projection.droplevel(1)\n",
+ "uk_projection"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 682,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "18"
+ ]
+ },
+ "execution_count": 682,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "uk_projection.loc[152, 'deaths']"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Correction for cumulative deaths correction on 14 August"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 683,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# uk_projection.loc[152, 'deaths'] = 50"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 684,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
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+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>cases</th>\n",
+ " <th>cases_culm</th>\n",
+ " <th>cases_diff</th>\n",
+ " <th>cases_m7</th>\n",
+ " <th>dateRep</th>\n",
+ " <th>deaths</th>\n",
+ " <th>deaths_culm</th>\n",
+ " <th>deaths_diff</th>\n",
+ " <th>deaths_g4</th>\n",
+ " <th>deaths_g7</th>\n",
+ " <th>deaths_m4</th>\n",
+ " <th>deaths_m7</th>\n",
+ " <th>doubling_time</th>\n",
+ " <th>doubling_time_7</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>since_threshold</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>138</td>\n",
+ " <td>846</td>\n",
+ " <td>302301.0</td>\n",
+ " <td>83.0</td>\n",
+ " <td>552.714286</td>\n",
+ " <td>2020-07-31</td>\n",
+ " <td>0</td>\n",
+ " <td>41169.0</td>\n",
+ " <td>-34.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>14.50</td>\n",
+ " <td>16.142857</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>139</td>\n",
+ " <td>880</td>\n",
+ " <td>303181.0</td>\n",
+ " <td>34.0</td>\n",
+ " <td>574.000000</td>\n",
+ " <td>2020-08-01</td>\n",
+ " <td>20</td>\n",
+ " <td>41189.0</td>\n",
+ " <td>20.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>18.75</td>\n",
+ " <td>14.428571</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>140</td>\n",
+ " <td>771</td>\n",
+ " <td>303952.0</td>\n",
+ " <td>-109.0</td>\n",
+ " <td>588.857143</td>\n",
+ " <td>2020-08-02</td>\n",
+ " <td>13</td>\n",
+ " <td>41202.0</td>\n",
+ " <td>-7.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>16.75</td>\n",
+ " <td>14.142857</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>141</td>\n",
+ " <td>743</td>\n",
+ " <td>304695.0</td>\n",
+ " <td>-28.0</td>\n",
+ " <td>634.857143</td>\n",
+ " <td>2020-08-03</td>\n",
+ " <td>5</td>\n",
+ " <td>41207.0</td>\n",
+ " <td>-8.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>9.50</td>\n",
+ " <td>13.714286</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>142</td>\n",
+ " <td>928</td>\n",
+ " <td>305623.0</td>\n",
+ " <td>185.0</td>\n",
+ " <td>714.428571</td>\n",
+ " <td>2020-08-04</td>\n",
+ " <td>1</td>\n",
+ " <td>41208.0</td>\n",
+ " <td>-4.0</td>\n",
+ " <td>6.004624</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>9.75</td>\n",
+ " <td>13.428571</td>\n",
+ " <td>4757.215218</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>143</td>\n",
+ " <td>670</td>\n",
+ " <td>306293.0</td>\n",
+ " <td>-258.0</td>\n",
+ " <td>800.142857</td>\n",
+ " <td>2020-08-05</td>\n",
+ " <td>18</td>\n",
+ " <td>41226.0</td>\n",
+ " <td>17.0</td>\n",
+ " <td>5.848527</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>9.25</td>\n",
+ " <td>13.000000</td>\n",
+ " <td>4886.309798</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>144</td>\n",
+ " <td>891</td>\n",
+ " <td>307184.0</td>\n",
+ " <td>221.0</td>\n",
+ " <td>818.428571</td>\n",
+ " <td>2020-08-06</td>\n",
+ " <td>14</td>\n",
+ " <td>41240.0</td>\n",
+ " <td>-4.0</td>\n",
+ " <td>5.957892</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>9.50</td>\n",
+ " <td>10.142857</td>\n",
+ " <td>4798.249763</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>145</td>\n",
+ " <td>950</td>\n",
+ " <td>308134.0</td>\n",
+ " <td>59.0</td>\n",
+ " <td>833.285714</td>\n",
+ " <td>2020-08-07</td>\n",
+ " <td>18</td>\n",
+ " <td>41258.0</td>\n",
+ " <td>4.0</td>\n",
+ " <td>8.206694</td>\n",
+ " <td>9.273227</td>\n",
+ " <td>12.75</td>\n",
+ " <td>12.714286</td>\n",
+ " <td>3485.046367</td>\n",
+ " <td>3084.263827</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>146</td>\n",
+ " <td>871</td>\n",
+ " <td>309005.0</td>\n",
+ " <td>-79.0</td>\n",
+ " <td>832.000000</td>\n",
+ " <td>2020-08-08</td>\n",
+ " <td>12</td>\n",
+ " <td>41270.0</td>\n",
+ " <td>-6.0</td>\n",
+ " <td>15.274379</td>\n",
+ " <td>8.620615</td>\n",
+ " <td>15.50</td>\n",
+ " <td>11.571429</td>\n",
+ " <td>1873.167925</td>\n",
+ " <td>3318.692768</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>147</td>\n",
+ " <td>758</td>\n",
+ " <td>309763.0</td>\n",
+ " <td>-113.0</td>\n",
+ " <td>830.142857</td>\n",
+ " <td>2020-08-09</td>\n",
+ " <td>3</td>\n",
+ " <td>41273.0</td>\n",
+ " <td>-9.0</td>\n",
+ " <td>9.759459</td>\n",
+ " <td>6.991392</td>\n",
+ " <td>11.75</td>\n",
+ " <td>10.142857</td>\n",
+ " <td>2931.683481</td>\n",
+ " <td>4092.273291</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>148</td>\n",
+ " <td>1062</td>\n",
+ " <td>310825.0</td>\n",
+ " <td>304.0</td>\n",
+ " <td>875.714286</td>\n",
+ " <td>2020-08-10</td>\n",
+ " <td>5</td>\n",
+ " <td>41278.0</td>\n",
+ " <td>2.0</td>\n",
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+ " <td>18</td>\n",
+ " <td>41296.0</td>\n",
+ " <td>13.0</td>\n",
+ " <td>7.544601</td>\n",
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+ " <td>3794.345420</td>\n",
+ " <td>2709.572058</td>\n",
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+ " <td>3720.350193</td>\n",
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+ " <td>41329.0</td>\n",
+ " <td>7.0</td>\n",
+ " <td>12.368128</td>\n",
+ " <td>10.612734</td>\n",
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+ " <td>2316.548351</td>\n",
+ " <td>2699.658600</td>\n",
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+ ],
+ "text/plain": [
+ " cases cases_culm cases_diff cases_m7 dateRep \\\n",
+ "since_threshold \n",
+ "138 846 302301.0 83.0 552.714286 2020-07-31 \n",
+ "139 880 303181.0 34.0 574.000000 2020-08-01 \n",
+ "140 771 303952.0 -109.0 588.857143 2020-08-02 \n",
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+ "143 670 306293.0 -258.0 800.142857 2020-08-05 \n",
+ "144 891 307184.0 221.0 818.428571 2020-08-06 \n",
+ "145 950 308134.0 59.0 833.285714 2020-08-07 \n",
+ "146 871 309005.0 -79.0 832.000000 2020-08-08 \n",
+ "147 758 309763.0 -113.0 830.142857 2020-08-09 \n",
+ "148 1062 310825.0 304.0 875.714286 2020-08-10 \n",
+ "149 816 311641.0 -246.0 859.714286 2020-08-11 \n",
+ "150 1148 312789.0 332.0 928.000000 2020-08-12 \n",
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+ "153 1440 316367.0 311.0 1051.714286 2020-08-15 \n",
+ "154 1077 317444.0 -363.0 1097.285714 2020-08-16 \n",
+ "155 1040 318484.0 -37.0 1094.142857 2020-08-17 \n",
+ "156 713 319197.0 -327.0 1079.428571 2020-08-18 \n",
+ "157 1089 320286.0 376.0 1071.000000 2020-08-19 \n",
+ "158 252 NaN NaN NaN NaT \n",
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+ "160 254 NaN NaN NaN NaT \n",
+ "161 168 NaN NaN NaN NaT \n",
+ "162 202 NaN NaN NaN NaT \n",
+ "163 288 NaN NaN NaN NaT \n",
+ "\n",
+ " deaths deaths_culm deaths_diff deaths_g4 deaths_g7 \\\n",
+ "since_threshold \n",
+ "138 0 41169.0 -34.0 0.000000 0.000000 \n",
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+ "149 18 41296.0 13.0 7.544601 10.565457 \n",
+ "150 13 41309.0 -5.0 7.697094 10.085523 \n",
+ "151 20 41329.0 7.0 12.368128 10.612734 \n",
+ "152 18 41347.0 -2.0 17.036469 10.612734 \n",
+ "153 11 41358.0 -7.0 15.062936 10.481632 \n",
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+ "158 5 NaN NaN NaN NaN \n",
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+ "160 5 NaN NaN NaN NaN \n",
+ "161 5 NaN NaN NaN NaN \n",
+ "162 11 NaN NaN NaN NaN \n",
+ "163 6 NaN NaN NaN NaN \n",
+ "\n",
+ " deaths_m4 deaths_m7 doubling_time doubling_time_7 \n",
+ "since_threshold \n",
+ "138 14.50 16.142857 NaN NaN \n",
+ "139 18.75 14.428571 NaN NaN \n",
+ "140 16.75 14.142857 NaN NaN \n",
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+ ]
+ },
+ "execution_count": 684,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "uk_projection['deaths_m7'] = uk_projection['deaths'].transform(lambda x: x.rolling(7, 1).mean())\n",
+ "uk_projection.loc[(uk_current_end - 20):(uk_current_end + 5)]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 685,
+ "metadata": {},
+ "outputs": [
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+ "</div>"
+ ],
+ "text/plain": [
+ " cases cases_culm cases_diff cases_m7 dateRep \\\n",
+ "since_threshold \n",
+ "153 1440 316367.0 311.0 1051.714286 2020-08-15 \n",
+ "154 1077 317444.0 -363.0 1097.285714 2020-08-16 \n",
+ "155 1040 318484.0 -37.0 1094.142857 2020-08-17 \n",
+ "156 713 319197.0 -327.0 1079.428571 2020-08-18 \n",
+ "157 1089 320286.0 376.0 1071.000000 2020-08-19 \n",
+ "158 252 NaN NaN NaN NaT \n",
+ "159 274 NaN NaN NaN NaT \n",
+ "160 254 NaN NaN NaN NaT \n",
+ "161 168 NaN NaN NaN NaT \n",
+ "162 202 NaN NaN NaN NaT \n",
+ "163 288 NaN NaN NaN NaT \n",
+ "164 382 NaN NaN NaN NaT \n",
+ "165 379 NaN NaN NaN NaT \n",
+ "166 295 NaN NaN NaN NaT \n",
+ "167 238 NaN NaN NaN NaT \n",
+ "168 159 NaN NaN NaN NaT \n",
+ "169 190 NaN NaN NaN NaT \n",
+ "170 384 NaN NaN NaN NaT \n",
+ "171 401 NaN NaN NaN NaT \n",
+ "172 552 NaN NaN NaN NaT \n",
+ "173 347 NaN NaN NaN NaT \n",
+ "174 463 NaN NaN NaN NaT \n",
+ "175 259 NaN NaN NaN NaT \n",
+ "176 412 NaN NaN NaN NaT \n",
+ "177 476 NaN NaN NaN NaT \n",
+ "178 522 NaN NaN NaN NaT \n",
+ "179 574 NaN NaN NaN NaT \n",
+ "180 629 NaN NaN NaN NaT \n",
+ "181 477 NaN NaN NaN NaT \n",
+ "182 320 NaN NaN NaN NaT \n",
+ "183 401 NaN NaN NaN NaT \n",
+ "\n",
+ " deaths deaths_culm deaths_diff deaths_g4 deaths_g7 \\\n",
+ "since_threshold \n",
+ "153 11 41358.0 -7.0 15.062936 10.481632 \n",
+ "154 3 41361.0 -8.0 10.440087 10.481632 \n",
+ "155 5 41366.0 2.0 7.382256 10.481632 \n",
+ "156 3 41369.0 -2.0 4.716842 8.114550 \n",
+ "157 12 41381.0 9.0 4.820571 8.022291 \n",
+ "158 5 NaN NaN NaN NaN \n",
+ "159 5 NaN NaN NaN NaN \n",
+ "160 5 NaN NaN NaN NaN \n",
+ "161 5 NaN NaN NaN NaN \n",
+ "162 11 NaN NaN NaN NaN \n",
+ "163 6 NaN NaN NaN NaN \n",
+ "164 3 NaN NaN NaN NaN \n",
+ "165 9 NaN NaN NaN NaN \n",
+ "166 5 NaN NaN NaN NaN \n",
+ "167 8 NaN NaN NaN NaN \n",
+ "168 12 NaN NaN NaN NaN \n",
+ "169 5 NaN NaN NaN NaN \n",
+ "170 10 NaN NaN NaN NaN \n",
+ "171 6 NaN NaN NaN NaN \n",
+ "172 3 NaN NaN NaN NaN \n",
+ "173 13 NaN NaN NaN NaN \n",
+ "174 2 NaN NaN NaN NaN \n",
+ "175 4 NaN NaN NaN NaN \n",
+ "176 6 NaN NaN NaN NaN \n",
+ "177 10 NaN NaN NaN NaN \n",
+ "178 6 NaN NaN NaN NaN \n",
+ "179 3 NaN NaN NaN NaN \n",
+ "180 158 NaN NaN NaN NaN \n",
+ "181 4 NaN NaN NaN NaN \n",
+ "182 4 NaN NaN NaN NaN \n",
+ "183 5 NaN NaN NaN NaN \n",
+ "\n",
+ " deaths_m4 deaths_m7 doubling_time doubling_time_7 \n",
+ "since_threshold \n",
+ "153 15.50 12.571429 1903.506790 2735.338743 \n",
+ "154 13.00 12.571429 2746.421476 2735.537132 \n",
+ "155 9.25 12.571429 3884.352422 2735.867781 \n",
+ "156 5.50 10.428571 6079.585100 3534.098405 \n",
+ "157 5.75 10.285714 5950.497778 3575.774437 \n",
+ "158 NaN 8.142857 NaN NaN \n",
+ "159 NaN 6.285714 NaN NaN \n",
+ "160 NaN 5.428571 NaN NaN \n",
+ "161 NaN 5.714286 NaN NaN \n",
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+ "167 NaN 6.714286 NaN NaN \n",
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+ "169 NaN 6.857143 NaN NaN \n",
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+ "171 NaN 7.857143 NaN NaN \n",
+ "172 NaN 7.000000 NaN NaN \n",
+ "173 NaN 8.142857 NaN NaN \n",
+ "174 NaN 7.285714 NaN NaN \n",
+ "175 NaN 6.142857 NaN NaN \n",
+ "176 NaN 6.285714 NaN NaN \n",
+ "177 NaN 6.285714 NaN NaN \n",
+ "178 NaN 6.285714 NaN NaN \n",
+ "179 NaN 6.285714 NaN NaN \n",
+ "180 NaN 27.000000 NaN NaN \n",
+ "181 NaN 27.285714 NaN NaN \n",
+ "182 NaN 27.285714 NaN NaN \n",
+ "183 NaN 27.142857 NaN NaN "
+ ]
+ },
+ "execution_count": 685,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "uk_projection.loc[(uk_current_end - 5):]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 686,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.axes._subplots.AxesSubplot at 0x7f03f55d86d0>"
+ ]
+ },
+ "execution_count": 686,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "uk_projection.deaths_m7.plot()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 687,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>cases</th>\n",
+ " <th>deaths</th>\n",
+ " <th>deaths_m7</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>since_threshold</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>158</td>\n",
+ " <td>252</td>\n",
+ " <td>5</td>\n",
+ " <td>9.857143</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>159</td>\n",
+ " <td>274</td>\n",
+ " <td>5</td>\n",
+ " <td>8.571429</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>160</td>\n",
+ " <td>254</td>\n",
+ " <td>5</td>\n",
+ " <td>8.857143</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>161</td>\n",
+ " <td>168</td>\n",
+ " <td>5</td>\n",
+ " <td>7.714286</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>162</td>\n",
+ " <td>202</td>\n",
+ " <td>11</td>\n",
+ " <td>7.142857</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>163</td>\n",
+ " <td>288</td>\n",
+ " <td>6</td>\n",
+ " <td>6.714286</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>164</td>\n",
+ " <td>382</td>\n",
+ " <td>3</td>\n",
+ " <td>5.714286</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>165</td>\n",
+ " <td>379</td>\n",
+ " <td>9</td>\n",
+ " <td>6.285714</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>166</td>\n",
+ " <td>295</td>\n",
+ " <td>5</td>\n",
+ " <td>6.285714</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>167</td>\n",
+ " <td>238</td>\n",
+ " <td>8</td>\n",
+ " <td>6.714286</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>168</td>\n",
+ " <td>159</td>\n",
+ " <td>12</td>\n",
+ " <td>7.714286</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>169</td>\n",
+ " <td>190</td>\n",
+ " <td>5</td>\n",
+ " <td>6.857143</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>170</td>\n",
+ " <td>384</td>\n",
+ " <td>10</td>\n",
+ " <td>7.428571</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>171</td>\n",
+ " <td>401</td>\n",
+ " <td>6</td>\n",
+ " <td>7.857143</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>172</td>\n",
+ " <td>552</td>\n",
+ " <td>3</td>\n",
+ " <td>7.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>173</td>\n",
+ " <td>347</td>\n",
+ " <td>13</td>\n",
+ " <td>8.142857</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>174</td>\n",
+ " <td>463</td>\n",
+ " <td>2</td>\n",
+ " <td>7.285714</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>175</td>\n",
+ " <td>259</td>\n",
+ " <td>4</td>\n",
+ " <td>6.142857</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>176</td>\n",
+ " <td>412</td>\n",
+ " <td>6</td>\n",
+ " <td>6.285714</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>177</td>\n",
+ " <td>476</td>\n",
+ " <td>10</td>\n",
+ " <td>6.285714</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>178</td>\n",
+ " <td>522</td>\n",
+ " <td>6</td>\n",
+ " <td>6.285714</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>179</td>\n",
+ " <td>574</td>\n",
+ " <td>3</td>\n",
+ " <td>6.285714</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>180</td>\n",
+ " <td>629</td>\n",
+ " <td>158</td>\n",
+ " <td>27.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>181</td>\n",
+ " <td>477</td>\n",
+ " <td>4</td>\n",
+ " <td>27.285714</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>182</td>\n",
+ " <td>320</td>\n",
+ " <td>4</td>\n",
+ " <td>27.285714</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>183</td>\n",
+ " <td>401</td>\n",
+ " <td>5</td>\n",
+ " <td>27.142857</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " cases deaths deaths_m7\n",
+ "since_threshold \n",
+ "158 252 5 9.857143\n",
+ "159 274 5 8.571429\n",
+ "160 254 5 8.857143\n",
+ "161 168 5 7.714286\n",
+ "162 202 11 7.142857\n",
+ "163 288 6 6.714286\n",
+ "164 382 3 5.714286\n",
+ "165 379 9 6.285714\n",
+ "166 295 5 6.285714\n",
+ "167 238 8 6.714286\n",
+ "168 159 12 7.714286\n",
+ "169 190 5 6.857143\n",
+ "170 384 10 7.428571\n",
+ "171 401 6 7.857143\n",
+ "172 552 3 7.000000\n",
+ "173 347 13 8.142857\n",
+ "174 463 2 7.285714\n",
+ "175 259 4 6.142857\n",
+ "176 412 6 6.285714\n",
+ "177 476 10 6.285714\n",
+ "178 522 6 6.285714\n",
+ "179 574 3 6.285714\n",
+ "180 629 158 27.000000\n",
+ "181 477 4 27.285714\n",
+ "182 320 4 27.285714\n",
+ "183 401 5 27.142857"
+ ]
+ },
+ "execution_count": 687,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "proj.droplevel(level=1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 688,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 720x432 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ax = deaths_m7[COUNTRIES_CORE].plot()\n",
+ "# uk_projection['deaths_m7'].plot(figsize=(10, 6), title=\"Deaths per day, 7 day moving average\", label=\"Projection\", style='--', ax=ax)\n",
+ "proj.droplevel(level=1)['deaths_m7'].plot(figsize=(10, 6), title=\"Deaths per day, 7 day moving average\", label=\"Projection\", style='--', ax=ax)\n",
+ "ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
+ "for c in COUNTRIES_CORE:\n",
+ " lvi = deaths_m7[c].last_valid_index()\n",
+ " ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = c)\n",
+ "plt.savefig('covid_deaths_per_day_7.png') "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 689,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "35399"
+ ]
+ },
+ "execution_count": 689,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "it_since_threshold.deaths.sum()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Excess deaths calculation"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 690,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "({'start_date': '2020-03-20 00:00:00',\n",
+ " 'end_date': '2020-07-03 00:00:00',\n",
+ " 'excess_deaths': 64733.6},\n",
+ " 1)"
+ ]
+ },
+ "execution_count": 690,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "with open('excess_deaths.json') as f:\n",
+ " excess_deaths_data = json.load(f)\n",
+ " \n",
+ "with open('excess_death_accuracy.json') as f:\n",
+ " excess_death_accuracy = json.load(f)\n",
+ " \n",
+ "excess_deaths_data, excess_death_accuracy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 691,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# excess_deaths_upto = '2020-05-08'\n",
+ "# excess_deaths = 54500"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 692,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "excess_deaths_upto = excess_deaths_data['end_date']\n",
+ "excess_deaths = excess_deaths_data['excess_deaths']"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Recorded deaths in period where ONS has reported total deaths"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 693,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "40532"
+ ]
+ },
+ "execution_count": 693,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ons_reported_deaths = base_data.loc['UK'][:excess_deaths_upto]['deaths'].sum()\n",
+ "ons_reported_deaths"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 694,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'2020-07-03 00:00:00'"
+ ]
+ },
+ "execution_count": 694,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "excess_deaths_upto"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Correction for deaths total correction on 14 August"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 695,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ons_unreported_deaths_data = base_data.loc['UK'][excess_deaths_upto:].iloc[1:]['deaths']\n",
+ "# ons_unreported_deaths_data['2020-08-14'] = 50"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 696,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "849"
+ ]
+ },
+ "execution_count": 696,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ons_unreported_deaths = ons_unreported_deaths_data.sum()\n",
+ "ons_unreported_deaths"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 697,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "849"
+ ]
+ },
+ "execution_count": 697,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "scaled_ons_unreported_deaths = ons_unreported_deaths * excess_death_accuracy\n",
+ "scaled_ons_unreported_deaths"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 698,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "65582.6"
+ ]
+ },
+ "execution_count": 698,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "uk_deaths_to_date = excess_deaths + scaled_ons_unreported_deaths\n",
+ "uk_deaths_to_date"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 699,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# data_since_threshold.loc[(slice(None), 'UK'), :][data_since_threshold.dateRep == excess_deaths_data['end_date']]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 700,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th>dateRep</th>\n",
+ " <th>cases</th>\n",
+ " <th>deaths</th>\n",
+ " <th>cases_culm</th>\n",
+ " <th>deaths_culm</th>\n",
+ " <th>cases_diff</th>\n",
+ " <th>deaths_diff</th>\n",
+ " <th>deaths_m4</th>\n",
+ " <th>deaths_m7</th>\n",
+ " <th>cases_m7</th>\n",
+ " <th>deaths_g4</th>\n",
+ " <th>deaths_g7</th>\n",
+ " <th>doubling_time</th>\n",
+ " <th>doubling_time_7</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>since_threshold</th>\n",
+ " <th>geoId</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>110</td>\n",
+ " <td>UK</td>\n",
+ " <td>2020-07-03</td>\n",
+ " <td>651</td>\n",
+ " <td>41</td>\n",
+ " <td>285539</td>\n",
+ " <td>40532</td>\n",
+ " <td>34.0</td>\n",
+ " <td>-56.0</td>\n",
+ " <td>53.0</td>\n",
+ " <td>51.428571</td>\n",
+ " <td>640.714286</td>\n",
+ " <td>45.868305</td>\n",
+ " <td>45.798566</td>\n",
+ " <td>612.853155</td>\n",
+ " <td>613.785835</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " dateRep cases deaths cases_culm deaths_culm \\\n",
+ "since_threshold geoId \n",
+ "110 UK 2020-07-03 651 41 285539 40532 \n",
+ "\n",
+ " cases_diff deaths_diff deaths_m4 deaths_m7 \\\n",
+ "since_threshold geoId \n",
+ "110 UK 34.0 -56.0 53.0 51.428571 \n",
+ "\n",
+ " cases_m7 deaths_g4 deaths_g7 doubling_time \\\n",
+ "since_threshold geoId \n",
+ "110 UK 640.714286 45.868305 45.798566 612.853155 \n",
+ "\n",
+ " doubling_time_7 \n",
+ "since_threshold geoId \n",
+ "110 UK 613.785835 "
+ ]
+ },
+ "execution_count": 700,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data_since_threshold[data_since_threshold.dateRep == excess_deaths_data['end_date']].loc[(slice(None), 'UK'), :]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 701,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "111"
+ ]
+ },
+ "execution_count": 701,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ons_unreported_start = data_since_threshold[data_since_threshold.dateRep == excess_deaths_data['end_date']].loc[(slice(None), 'UK'), :].first_valid_index()[0] + 1\n",
+ "ons_unreported_start"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 702,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1162"
+ ]
+ },
+ "execution_count": 702,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "unreported_projected_deaths = uk_projection.loc[ons_unreported_start:].deaths.sum()\n",
+ "unreported_projected_deaths"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 703,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1162"
+ ]
+ },
+ "execution_count": 703,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "unreported_projected_deaths_scaled = unreported_projected_deaths * excess_death_accuracy\n",
+ "unreported_projected_deaths_scaled"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 704,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "398"
+ ]
+ },
+ "execution_count": 704,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "uk_projection.loc[(s_start):].deaths.sum()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 705,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "65980.6"
+ ]
+ },
+ "execution_count": 705,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_actual_projected_scaled = uk_deaths_to_date + uk_projection.loc[(s_start):].deaths.sum() * excess_death_accuracy\n",
+ "deaths_actual_projected_scaled"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 706,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# excess_deaths / reported_deaths"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "True deaths to date, if we follow the scaling of excess deaths over reported deaths so far."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 707,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "41381"
+ ]
+ },
+ "execution_count": 707,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "uk_covid_deaths = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'deaths_culm'].iloc[-1]\n",
+ "uk_covid_deaths"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 708,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# uk_covid_deaths_scaled = excess_deaths + unreported_deaths * excess_death_accuracy\n",
+ "# uk_covid_deaths_scaled"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 709,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['IT']), 'dateRep'].iloc[-1] + pd.Timedelta(s_end - s_start, unit='days')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 710,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'dateRep'].iloc[-1].strftime(\"%Y-%m-%d\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 711,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# uk_covid_deaths * excess_deaths / reported_deaths"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 712,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# uk_projection.deaths.sum() * excess_deaths / reported_deaths"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 713,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# data_since_threshold.loc[(slice(None), 'FR'), :]\n",
+ "# data_since_threshold[data_since_threshold.dateRep == '2020-05-18'].loc[(slice(None), 'FR'), :]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## School reopenings"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 714,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "school_reopenings = {\n",
+ " 'ES': {'date': '2020-05-18'},\n",
+ " 'FR': {'date': '2020-05-18'}, # some areas only\n",
+ "# 'IT': {'date': '2020-09-01'},\n",
+ " # 'IE': {'date': '2020-09-01'},\n",
+ " 'DE': {'date': '2020-05-04'},\n",
+ " 'UK': {'date': '2020-06-01'}\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 715,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(49, 'DE')"
+ ]
+ },
+ "execution_count": 715,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data_since_threshold[data_since_threshold.dateRep == '2020-05-04'].loc[(slice(None), ['DE']), :].first_valid_index()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 716,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "134.57142857142858"
+ ]
+ },
+ "execution_count": 716,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data_since_threshold[data_since_threshold.dateRep == '2020-05-04'].loc[(slice(None), ['DE']), :].iloc[0].deaths_m7"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 717,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'ES': {'date': '2020-05-18',\n",
+ " 'since_threshold': 69,\n",
+ " 'deaths_m7': 137.85714285714286},\n",
+ " 'FR': {'date': '2020-05-18',\n",
+ " 'since_threshold': 70,\n",
+ " 'deaths_m7': 190.14285714285714},\n",
+ " 'DE': {'date': '2020-05-04',\n",
+ " 'since_threshold': 49,\n",
+ " 'deaths_m7': 134.57142857142858},\n",
+ " 'UK': {'date': '2020-06-01',\n",
+ " 'since_threshold': 78,\n",
+ " 'deaths_m7': 212.57142857142858}}"
+ ]
+ },
+ "execution_count": 717,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "for cID in school_reopenings:\n",
+ " dst_in = data_since_threshold[data_since_threshold.dateRep == (school_reopenings[cID]['date'])].loc[(slice(None), [cID]), :]\n",
+ " dst_i = dst_in.first_valid_index()\n",
+ " dst_n = dst_in.iloc[0].deaths_m7\n",
+ " school_reopenings[cID]['since_threshold'] = dst_i[0]\n",
+ " school_reopenings[cID]['deaths_m7'] = dst_n\n",
+ "school_reopenings"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 718,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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FSixFRERERJpFI5bSpbnyPBv2RCd2w5mXi7uqiiCbrZ2jEhEREZGW0shi29KIpXRpztxsAHoNHAyWRUlhQTtHJCIiIiLS8SixlC6teuOenoOGAFpnKSIiIiLSHJoKK11a9VEjvQYMBrQzrIiIiIi0jMvlOunzM8880z6BtDGNWEqX5nTkEBETS0z3HgAU6yxLERERERG/KbGULs2Zm0N0YhJRcfGApsKKiIiIiDSHEkvp0pyOXGKSumELDiYiJlZHjoiIiIiINIMSS+nSinJziE7sBoA9Lh6X1liKiIiIiPhNiaV0WeUlxZwoLSE6yZNYRsUnaI2liIiIiEgzKLGULsvp3RE2OjEJqE4sHe0ZkoiIiIhIh6TEUrqsIocnsYzxjlja4xMoLizA7a5qz7BEREREpAOz2WykpaUxYsQIxowZw5///GfcbjcAq1atIjY2lrS0tJrXihUr2jniwNA5ltJlOXNzAWrWWEbFxWO53ZQWFdXsEisiIiIi4o+IiAi2bNkCQHZ2NldeeSWFhYX89re/BWDKlCksW7asPUNsFRqxlC7L6cjBBAURFe9JIu3xiQAUF2idpYiIiIi0XPfu3XniiSf429/+hmVZ7R1Oq9KIpXRZztwc7AmJBAXZAGoSTFe+g+79z2jP0ERERESkpZbfAVnbAttmz1Ew5wG/qpxxxhm43W6ys7MBWLNmDWlpaTX3X3/9dQYMGBDQMNuDEkvpsoocOTXrKwGi4hIAtDOsiIiIiARU7dHKzjoVVomldFlORy69Bg6p+Vy9rrI4X2dZioiIiHR4fo4stpb9+/djs9no3r07O3bsaO9wWo3WWEqXZLndOHNza86wBAgODSXcHo1LiaWIiIiIBEBOTg433XQTS5cuxRjT3uG0Ko1YSpdUUlSIu6qy5gzLalFx8RQXKLEUERERkeYpLS0lLS2NiooKgoODueaaa/jpT39ac//UNZa/+tWvWLhwYXuEGlBKLKVLKsr1LJ6uvcYSICo+QWssRURERKTZqqoaPhP9vPPOo7CwsA2jaTuaCitdkjM3B/j2DMtq9vgEXBqxFBERERHxixJL6ZKcjlyAk9ZYwrcjlp39nCERERERkUBSYildUlFuDsFhYYRH2U+6bo+Lx11VSamzqJ0iExERERHpeJRYSpfkdOQQk9itzu5cUfHesywLtM5SRERERMRXPieWxph/G2OyjTFf17qWYIz5yBizx/vPeO91Y4x5xBiz1xiz1Rgzrladxd7ye4wxiwP7OCK+cebm1JkGC7USSx05IiIiIiLiM39GLJ8BZp9y7Q7gY8uyBgEfez8DzAEGeV9LgH+AJxEF7gbOBs4C7q5ORkXaktORW2fjHgB7nCex1FmWIiIiIiK+8zmxtCxrNXDqX9uXAs963z8LzKt1/TnL43MgzhjTC5gFfGRZVp5lWfnAR9RNVkVaVWVFBcUF+XXOsASIivf8fw6NWIqIiIhIcxw8eJCRI0eedO2ee+7hoYce4rrrruO1114DIC8vj7Fjx/L000+3R5gB19I1lj0syzoG4P1nd+/1ZOBIrXIZ3msNXRdpM648B1D3DEuAkLBwwiKjtMZSRERERFpNYWEhs2bNYsmSJVx//fXtHU5AtNbmPaaea1Yj1+s2YMwSY8xGY8zGnJycgAYnXZszNxuoe4Zltai4eFz5jrYMSURERES6CJfLxZw5c7jyyiu5+eab2zucgAluYf3jxphelmUd8051zfZezwD61CqXAhz1Xj/vlOur6mvYsqwngCcAxo8fr0MFJWAaOsOyWvVZliIiIiLScT244UF25u0MaJtDE4Zy+1m3t6iNn/70p9x444385Cc/CVBUp4eWjlj+F6je2XUx8Hat69d6d4edCBR6p8p+AFxojIn3btpzofeaSJspyvWMgEcnJtZ7PyounuICrbEUEREREf+depzdqddnzJjB22+/TXZ2dr3lOiqfRyyNMS/hGW1MMsZk4Nnd9QHgVWPM94HDwGXe4u8BFwF7gRLgegDLsvKMMfcBX3jL3WtZlv6ClzblzM0hIjqGkLDweu/bExIpzs/HsqwG/8MgIiIiIqe3lo4sNldiYiL5p8x+y8vLIzU1FYDvfe97TJ48mYsuuoiVK1cSHR3dHmEGnD+7wl5hWVYvy7JCLMtKsSzrKcuyHJZlzbQsa5D3n3nespZlWbdaljXAsqxRlmVtrNXOvy3LGuh9dY4tkKRDcTpyGlxfCZ4Ry8qKE5QXF7dhVCIiIiLSGdjtdnr16sXHH38MeJLK999/n8mTJ9eU+fGPf8zMmTOZP38+J06caK9QA6q1Nu8ROW0V5eY0uL4SPGssAU2HFREREZFmee6557j//vtJS0tjxowZ3H333QwYMOCkMg8++CB9+vThmmuuwe12t1OkgdPSzXtEOpQylwunI4c+I0Y3WMYe5znL0pWfR2JK37YKTUREREQ6ieHDh7Ny5co615955pmTPneWMyxBiaV0Aa78PPZt/Jw9G9Zx5JutuKuq6Navf4Plo+I9m/oU52vEUkRERETEF0ospVP7+N//YMuH74FlEd+rN2fOnc+gCefQc+DgBuvY478dsRQRERERkaYpsZRObe/G9SQPGc75N95CYkpfn3Z5DY2IJCQsnOICnWUpIiIiIuILbd4jnZa7qori/Dz6DB9JUp9+fh0dYk9I0FRYEREREREfKbGUTqu4MB/L7caekOR33ai4BE2FFRERERHxkRJL6bRcDgcA0YnNSSzjddyIiIiIiIiPlFhKp+XMywXAnpDod92o+ASK87XGUkRERET8Y7PZSEtLq3k98MADACxbtoyxY8cyZswYhg8fzuOPP97OkQaWNu+RTsvl8CSWzRmxjEnqRkV5GcUF+UR5z7UUEREREWlKREQEW7ZsOelaRUUFS5YsYcOGDaSkpFBeXs7BgwfbJ8BWohFL6bSceQ6CQ0IJt0f7XbfXoKEAZO78JtBhiYiIiEgX43Q6qaysJDHRM5MuLCyMIUOGtHNUgaURS+m0nI5c7ImJfu0GW63HGQMIDgsjY8c3DJ44uRWiExEREZHWlPX731O+Y2dA2wwbNpSev/xlo2VKS0tJS0ur+XznnXeyaNEiLrnkEvr168fMmTOZO3cuV1xxBUFBnWecT4mldFquvFyim7EjLIAtOITeg4aQoRFLEREREfFDfVNhAf71r3+xbds2VqxYwUMPPcRHH33EM8880/YBthIlltJpOR25HI0tZsF/FzA5eTJTkqeQ1j2NkKAQn+onDx3JutdfoqzYRXiUvZWjFREREZFAampksT2MGjWKUaNGcc0115CamtqpEsvOM/YqUovldlOUl8t+91GCTTDPb3+eGz64gakvT+Wnq37KwcKDTbaRMmwEWBZHd+9o/YBFREREpNNyuVysWrWq5vOWLVvo169f+wXUCjRiKZ3Soay9UOWme48U/jD3RYorill/bD1rMtfw4cEPOVR0iJe/8zIhtoZHL3sNGkKQzUbGjm84Y+yENoxeRERERDqqU9dYzp49m7vuuos//OEP/PCHPyQiIoKoqKhONVoJSiylE7Isi7+t+RO9gO+OuwpjDPZQOzP7zWRmv5lMS5nGbStv4/Gtj7N07NIG2wkJC6fHGQPJ3KF1liIiIiLim6qqqnqvv/fee20cSdvSVFjpdFYcXsH2Q5sBSE0ZWuf+9L7TufiMi/nXtn+x3bG90baSh44ga98eKk6Ut0qsIiIiIiKdgRJL6VQKywv5/frfMyAoGQB7QmK95W4/63YSwhP41dpfUVFV0WB7KcNG4q6qJGvPrlaJV0RERESkM1BiKZ3Kw5seJr8snxnxkwmyBRMZE1tvudiwWO4+52725O/hn1v/2WB7yUOGgzE6dkREREREpBFKLKXTWJ2xmtf3vM61w68lrNQzWmkaOXR2Wp9pXDLgEp7a9hTfOOpPHMPtdrr16UeG1lmKiIiIiDRIiaV0eMeLj3Pnmju59eNbSY1N5ea0m3E5colOrH8abG23n3U7ieGJ/Cr9V5RWltZbJnnYCI7t3klVZWWgQxcRERER6RSUWEqHVVZZxhNbn+Dity7mw4Mf8oNRP+Dl77xMRHAEzrxc7AlJTbYRExrDPefew76CfSxevpijrqN1yqQMG0lFeRnZB/fVuVdSUUKlWwmniIiIiHRtSiylQ9qcvZl5b8/j0c2PMqn3JN6a9xa3jbuNyJBILMvC5XAQndh0YgkwJWUKj854lCPOIyxatoj1x9afdD956AiAOseOVLorWfDfBfx+/e8D81AiIiIi0uHZ7XYADh48SEREBGlpaTWv5557rp2jaz1KLKXDef/A+9z4wY3YjI1/XfgvHp7+MH2i+9TcL3M5qaw4QXQDO8LWZ1qfabz0nZdIDE9kyUdLePabZ7EsCwB7fAJxPXrV2cBnbeZaMl2ZvLX3LXJLcwPzcCIiIiLSaQwYMIAtW7bUvK699tr2DqnVKLGUDsOyLJ7a9hQ/X/1zRiaN5IWLXuDsXmfXKed0eJI8u48jltX6x/bnhe+8wMy+M3lo40PclX5XTXKZPGwEmTu3Y7ndNeXf3Psm0aHRVLoreWnnSy14MhERERGRji24vQMQ8UWlu5Lfrf8dr+1+jTn953Df5PsIs4XVW9aV5wAg2oc1lqeKConiT9P+xKObH+XJbU8yO3U2U1OmkjJ0BN+sWoEj8whJffrhKHXw2f7VLDLTORZTwqu7XuXGUTcSERzRoucUERERkcBY8+puco+4AtpmUh87Uy4f7HP5ffv2kZaWVvP50UcfZcqUKQGN6XShxFJOexXuCm775DbSM9P5wagfsHTsUoJMw4Pt345Y+j4VtjZjDDen3cyy/ct4cuuTTEmeQsqwkQBk7PiGIJuNl198iAVf9oSqXQwd0I8PhhTwzr53uHzI5T71kblrBxnbt3H2fN/Ki4iIiEjHUz0VtitQYimnvS+OfUF6Zjo/H/9zrh3R9Lx0V14uJiiIqLj4ZvcZEhTC9SOv5/frf8/G4xsZ32M8UfEJrH35OT4uduEOgqLUMKb3n8nWj99n3MhhPL/9eRYOXtho0lvt65Uf8fXKDxk35xJCwsObHaeIiIiI1M+fkUVpOa2xlNPe51mfExwUzMLBC30q73Q4iIpPICjI1qJ+5w+cT2J4Ik9sfQJjDIMnTiI4PJyBcy/g1elHGHfdVZxz2ZWYoCCmFwzhYNFB0jPTfYwxBwBHxuEWxSgiIiIicjpQYimnvQ3HNjA6aTSRIZE+lXfm5fq1I2xDwoPDWTxiMZ8f+5xtOduYcd0P+eHfn+GrgYUQGcrs/rOxxyeQOnY8pV8dpGd4D5795lnfYvRO181VYikiIiLSaVWvsax+PfLII+0dUqtRYimntcLyQrY7tte7+2tDXI7cZm3cU5/Lh1xOTGgMT257EoDSylKWH1jOhf0vxB7qOaNo1PQLKSnI57LgGWzI2sAOx46mY8zzJpZHDgUkThERERE5Pbhcng2D+vfvT2lp6UnHjdx2223tHF3rUWIpp7WNxzdiYfmcWFqWhdOR6/dRIw2JConi6mFXs/LISnbn72bFoRW4KlzMGzivpkzq2PFExcUTv6eMyOBInt/+fKNtlpcUc6K0FACHEksRERER6QSUWMppbf2x9UQERzA6abRP5U+UllBRXhaQqbDVrhx2JZHBkfxr2794a+9b9Inuw/ge42vu24KDGT5tJke+2sKCXnNZfmA5x4uPN9he9TTY4LAwTYUVERERkU5BiaWc1jYc28C47uMIsYX4VP7bo0YCM2IJEBsWy6Ihi/jg4AdsyNrAvIHzMMacVGbkeRdgud2My+kFwF+//GuTMR6ILcDlyOXFzc+RW5obsHhFRERERNqaEks5beWU5LCvcB9n9TrL5zoub9IWqDWW1a4dcS3BJhiD4ZIBl9S5n9A7meShIziybgM3jLyBd/a/w+qM1fW29cWeNQCEDfQkoU+teoQZr85g8fLFfJH1RUDjFhERERFpC0os5bS1IWsDgF8b9zjzHABEB3DEEiApIomlY5dy7fBr6RnVs94yo2ZcSP6xo8wNncyA2AHcu+5eXCdcJ5XJL8tnxdfvYhn42cLfA3DngNu4eczNZDgzuHfdvQGNW0RERESkLSixlHblLq9PDg4AACAASURBVCmhMj+/3nvrj60nOjSaofFDfW7P6cgFY4iKjw9UiDWuH3k9P5vwswbvDz57EqERkexc9Qn3TrqXnNIcHt708Ellfrf+d9iKK4mIiSGpVwoh4REEOUq5Oe1mrh95PQeLDnLEeSTgsYuIiIiItCYlltJurMpKDl27mD3nnMveWbM4esed5L/yKuV79mBZFhuyNnBWz7OwBdl8btOVl0tUbBy2YN/WZAZSSHg4QydNZff6zxgSNYCrh13Nq7tfrZne+v6B9/ng4AcMDe5PfLdemKAgklL61hw5Mjl5MgBrM9e2eewiIiIiEhg2m+2ksysPHjzIqlWriI2NZezYsQwdOpSf/azhwYqOSomltJv8F1+i7OuvifveIsIGDsK1ejVZd9/N/osvYd99vybTlclZPX1fXwmeqbD2AK+v9MfI6RdQeaKcfRvXs3TsUlLsKdz92d0ccR7h/vX3MyppFNHlYTVTdRP79KtJLPvF9CPFnqLEUkRERKQDi4iIOOnsyv79+wMwZcoUNm/ezObNm1m2bBlr13auv/mUWEq7qDieTc5f/0rU5Mn0vPtu+jz2NwatTWfA+8uJueRiTrz0Bmccs5jYa6Jf7bocuUQnBu6oEX/1SB1IkC2Y3IzDRARH8Ntzf8sR5xEWLVtEWWUZ9026D1etczaT+vSltKiQksICjDFMSp7E+qz1nKg60W7PICIiIiKtJyIigrS0NDIzM9s7lIAKbu8ApGs6/sD/YlVU0PM3v645usMYQ2j//vT89a/JWvUhN3/opv/P+vrVrivPQcrwUa0Rsk+CbDbievYiLzMDgLN6ncXCwQt5bfdr/GLCL0gO6eE5Z7PWiCVA7pHD9I2NY0ryFF7Z9Qqbjm/inN7ntNtziIiIiHR0K595guxD+wPaZvd+ZzD9uiWNliktLSUtLQ2A1NRU3nzzzZPu5+fns2fPHqZOnRrQ2NqbRiylzbnWpONc/j6JN/2Q0L51E8cgu52XLgij39EKCl591ed2K8rKKCt2BXxHWH8l9E4m/2hGzefbJ9zOYzMf46phV9WcYRldM2JZnVh6psNO6DmBkKAQTYcVERER6aBqT4WtnVSuWbOG0aNH07NnT+bOnUvPnvWfNNBRacRS2pS7rIys++4jtH9/Em+8sd4yewv28sGgYr43ZgA5D/+FmAsuILhbtybbrjlqJKH9psICxPdOYf+XG3FXVRFksxEeHM7UFM//kXI6coBvE8uouHjCo+w4MjyJZWRIJGf2OJP0zPRGd6AVERERkcY1NbLY1qZMmcKyZcvYvXs3kydPZv78+TUjm52BRiylTTmeeIKKw4fpec/dBIWG1ltm/bH1YAw9fv1rrLIyjv/xjz617crzjAba233EMgV3VSWF2Vl17rkc1edsehJlY4x3A5/DNWUmJ09mX+E+jrmOtU3AIiIiItJmBg8ezJ133smDDz7Y3qEElBJLaTPlBw7gePJfxFx8MVETG96UZ33WevpE96HPyLNJuPH7FP33HYo/X99k+zXTTNtxV1jwTIUFyKs1Hbaa05GDMUFExX17zmZSn344jhzCsizg22NH0o+mt0G0IiIiItLWbrrpJlavXs2BAwfaO5SAUWIpbcbx1FMQEkKP23/RYBm35WZT1qaaY0aSfvhDQlJSyLr3XqwTje+U6vJOhY1KSAhc0M0Q3zsFgLyjdXf6cjpyiUpIIMj27dmcSX36UV5SjCvfE/8ZsWfQK6oX6RlKLEVEREQ6GpfLVefaeeedx7Jly2o+R0REkJmZSWpqaluG1qqUWEqbsE6cwPnRCqLPn0lwUsMjivsL9uOscDK2+1gAgsLD6fnrX3Fi/37ynn++0T4Ks7MIj44hJDQsoLH7K8IeTUR0zEkb+FRzOnLrbC6U2MezgZHjsGedZe1jRyqqKk4qa1kWu/J21YxuioiIiIicDpRYSpsoXrcOd2EhMXPmNFpuW+42AEZ3G11zzT5tGvZp08j9+z+ozM1tsO7R3TvpOWBQYAJuoYTklAZHLE+dqpuY4kksq3eGBc902OKKYrbkbKm55rbc3P/5/Sx8ZyHLDyxvpchFRERERPynxFLaRNF7ywmKicE+aVKj5b7K+YqY0Bj6xfQ76Xr322/HXV5Ozl//Wm+9kqJCHBmHSRk6ImAxt0R8r5Q6aywty6p3xDIyJpaouHhyM77dwGdir4kEm2DSMz3TYavcVfxm7W94dferBAcFs2z/MkREREREThdKLKXVucvLca5YQfT552Ma2Am22tbcrYzqNoogc/KvZtgZqSRcdRUFr71O2fbtdepl7vJcSxk2MnCBt0BC72RKiwopqzXHvqzYReWJ8podYWtLTOmLo9aIZVRIFGN7jCU9M50KdwV3pt/J2/ve5pYxt3DNsGtYd3QdBWUFbfIsIiIiIh1JR18y1FHjV2Ipra54zRrcxcVNToMtrihmb/5exiSNqfd+0q23YIuL4/j/PlDnX7jMHV8THBJKj9NkKuy3G/h8O2rpzK0+w7LuOZtJffqRm3EYy+2uuTY5eTK783ez9OOlLD+wnB+P+zE3p93MnNQ5VFqVfHT4o1Z+ChEREZGOJTw8HIfD0WGTM8uycDgchIeHt3cofgtu7wCk8yt6bzm2uDiiJp7daLmvc7/GwjppfWVttpgYuv2/28i657c4P/yImFkX1tzL2PENvQYNITgkJKCxN1eCN7HMP5ZJ78FDgW93ra13xLJPPyrLyynKzSa2e08AJvWexMObHuazo59x+4TbuXr41QAMTRhK/5j+LD+wnMsGX9YWjyMiIiLSIaSkpJCRkUFOTk57h9Js4eHhpKSktHcYflNiKa3KXVqKc9UqYufOxTSR9G3N2QrAyKSGp7PGLVxI/gsvkv2HP2A/bxpBYWGUl5SQfWA/Zy9YFNDYWyK2ew+CbDbyjmaw57iTV744woW24wDYGxixBM8GPtWJ5eD4wXx30HdJ657GvIHzasoaY5iTOod/fvVPskuy6R7ZvQ2eSEREROT0FxIS0qmO8OhINBVWWpXr00+xSkqIuajxabDgSSxTY1OJDYttsIwJDqbHL++kIjOTvGeeBeDo7h1YlpuUYafHxj0AtuBgYnv04vD+g3zvic/5V/oBPt+6jyCbjai4+Drla3aGPfztOktjDPece89JSWW12amzsbD44OAHrfcQIiIiIiI+UmIpraroveXYkpKInDCh0XKWZbE1dyujk+qfBltb1DnnYJ85k9zHH6d8zx4ydnxNkM1G70FDAxV2QIQm9GDnrn0E2wxj+sSxe38GkXEJBAXZ6pQNi4wkOqnbSUeONOaM2DMYmjCU9w+8H+iwRURERET8psRSWk2VqxjXp58SM2sWxlY3maotw5VBXlleg+srT9Xzl3dii4ri8A3f58iWL+lxxkBCTqNFzjuzivgkC6JPFPLSjWdz10XDCC4rpCzU3mCdlGEj2f/lF5woLfGpjzmpc9iau5UjziOBCltEREREpFmUWEqrca1ciVVe7vM0WIAx3erfEfZUIcnJ9P33U1RWVpB1YC+9+54+c+l3HCviyifXUxKegM2qIsHt4qzUBLqZUvaXhlBeWVVvvXGzL+ZEaQlfr/Rtt9fZ/WcDaDqsiIiIiLS7gCSWxpifGGO+McZ8bYx5yRgTboxJNcasN8bsMca8YowJ9ZYN837e673fPxAxyOmnaPlygnv0IGLs2CbLbs3ZSkRwBAPiBvjcftigQYT88g4sYwh5ZzmVeXktCbfFsgrL+POHu1j0+DpCbUH87PLJgOfIEcuyiKhwkWtF8NqmjHrr9xw4mOShw9n03n9xu+tPPmvrbe9NWrc03jvwXkCfQ0RERETEXy1OLI0xycBtwHjLskYCNuB7wIPAw5ZlDQLyge97q3wfyLcsayDwsLecdDJVRUUUr1lDzOzZmKCmf8225mxlZNJIgoP826g4p9wzbTQm4yiHb7yRKqezWfE2l2VZfLYvl5v/bxOTHvyER1fuZUL/BF754USGDxsIeBLLUmcRVmUFsUnd+MeqfVRUuett78yL5lGUc5y9X3zuU/+zU2ezJ38Pe/P3BuyZRERERET8FaipsMFAhDEmGIgEjgEzgNe8958Fqre2vNT7Ge/9mcYYE6A45DSR85e/YFVUEDN3bpNlyyrL2Jm306eNe06VseNruvVLJfUvf6F89x6O3HQz7tLS5oTsN4ernAX/+Iwrn1zPuv0ObpySyuqfT+ep6ybQLzGKyJhYwqNjyD+aidORC8DMMweTkV/KW5sz621zwISzie3eg03L3vIphln9ZxFkglh+cHnAnktERERExF8tTiwty8oEHgIO40koC4FNQIFlWZXeYhlAsvd9MnDEW7fSW77OwX7GmCXGmI3GmI0d+YDTrqjg9TfIf/ElEm64gYhRDZ9JWW1n3k4qrUqfN+6pVlVZydE9O0kZNhL7tGkkP/RHSjdvJuNHt+E+caK54fvkeFEZi574nO1Hi/jfBaP4/M6Z3DlnGH0SIk8ql9ArmbxjGbjyPInluWMGMLxXDH9ftY8qt1Wn3aAgG+MuupSju3dwbM+uJuNIikjirJ5nsfzAck5Ute4zi4iIiIg0JBBTYePxjEKmAr2BKKC+3Vqq/4qub3Syzl/YlmU9YVnWeMuyxnfr1q2lYUobKd22jazf/pbIcybS/ac/8anOVzlfAfidWGYf2EdleXnN+ZUxs2fT6757KU5P5+jPfo5VWdlEC82TkV/C5Y+v41hBKc/ecBZXnNWX8JD6d72N753sGbHM9SSW0Ynd+NGMgRzILWbZ1qP11hl53vmERkSy6V3fRi0XDl7IEecRFi1bxHbH9uY9lIiIiIhICwRiKuz5wAHLsnIsy6oA3gDOBeK8U2MBUoDqv6IzgD4A3vuxQPvuuiIBUelwkPGj2whOSiL5z3/GBPu2XnJrzlaS7ckkRST51V/Gjq8BSB46ouZa3He/S48778D54Ycc+/VvsNz1r2VsrgO5xVz+z3XkF5/g+RvPZuIZdQbbT5LQO4XignxyMw4TZAsmKjaOWSN6Mqi7ncdW7sVdz6hlaEQko8+fze71aynKyW4ypln9Z/HYzMcoLC/kqnev4h9f/YMKd0Wzn1FERERExF+BSCwPAxONMZHetZIzge3ASmCht8xi4G3v+/96P+O9/4llWXX/upYOxaqoIPPHP6EqP5+Uvz1KcHy8z3W35m5t9vrK+N4pRMWd3FfC4sUkLV1K4Ztvcvx/HyBQv167jzu5/PF1lFW6eWnJRMb1bfoZE3qnAHD466+wJyRigoIICjIsnTGQ3cddfLg9q956Y2d71qZ++f47PsU2NWUqb176JrNSZ/H3LX/n6veuZl/BPh+fTERERESkZQKxxnI9nk14vgS2edt8Argd+KkxZi+eNZRPeas8BSR6r/8UuKOlMUj7O/7HP1LyxRf0uu9ewocP971e8XGyirP8ngbrdleRuXN7zTTYUyXdegsJixeT//zz5P373361XR/Lsvjxy1uwLHhlyURG9I71qV58b8/S4vyjGUQnfju6OXd0b1KTonj0k731Jr4xSd0ZfPYktn38ASdKS6g4UY4zL5ecwwfJ2ru73jqxYbE8MOUBHj7vYbKKs1jy0RKNXIqIiIhIm/DvbIcGWJZ1N3D3KZf3A2fVU7YMuCwQ/crp4cShQ+Q/9zzxV15J7CWX+FV3W+42wP/1lbmHD1FeUkzKsPo3BzLG0P2O2ynfvx/HU/8m4dprMSEhfvVR28pd2Ww/VsQfF45mUI9on+vF9eiJCQrCcruJTvx2rbAtyHDzeQP4xWtbWbkrmxlDe9Spe+bceexat4bHvn8F7qqTz7WcccNNjJ1V/4675/c7n+CgYH70yY9YnbGamX1n+hyviIiIiEhzBOq4EenCnCtXApBw/XV+192as5WQoBCGJgz1q171OY8NJZbgSS7jr7yCqrw8XGvW+B1bNcuy+Nsne0mOi2De2OSmK9RiCw4hrkdPAOwJJ6/HnD82meS4CB75uP5Ry14Dh3DetTcy7qJLmXzFYi74wVIu/skdpAwfydqXn6e4IL/BficnT6Z7RHde2/1ag2VERERERAJFiaW0mGvVp4QOHEBonz5+1/0y+0uGJQ4j1Bbqc53KEyf46qP3OGPcBGKSGt8x2D55MrakJArffNPv2Kqt2+/gy8MF3DTtDEJs/v8rE+9dZ1l7xBIgxBbEzecNYMuRAj7b56i37pnfmce0q2/g7HmXMfr82QyeOJkLfrCUivJyVr/wdIN9BgcFM3/QfNZmruWY65jfMYuIiIiI+EOJpbRIldNJycaNRE+f7nfdwvJCtuVu45xe5/hVb8faVZQUFjDuokubLGtCQoi9+GKcK1dRmde8zYcfW7mXJHsYl433P3GGbzfwiU6qu+vtwjNT6BETxiMf7/GrvfEXz2f76k9qdsatz4JBCwB4Y+8bfkYsIiIiIuIfJZbSIsVr1kBlJfZmJJafH/sct+VmcvJkn+tYlsWX775Nt7796TtyjE91YufNg8pKipYt8zvGzYfzWbvXwQ+mpDZ4VmVTqhPLmMS6o6vhITZ+OHUA6w/kseGA74nvxPmLiE7qxsf//med9ZfVett7Myl5Em/seYNKd+uc6SkiIiIiAkospYWcq1Zhi4sjYoxvSV5tazPXEh0azcikhtdJnurQti3kHjnEuO/Mw3O6TdPChwwmfMQICt58y+8YH1u5j9iIEK6a2M/vutWGnDuFGTfcRPf+Z9R7/4qz+pJkD+XRT3wftQwJD2f6dUvIPXyQzY0cSbJw0EKyS7JJz0z3O24REREREV8psZRmsyorKf50NfZpUzE2/0bzLMtibeZaJvaaSHCQ75sTb3r3LSJj4xg6aZpf/cUumE/5jh2U7djhc52dWUWs2HGc6yf1xx7W/A2UQ8MjGDtrLiao/n/dIkJt3DjlDNbsyWXLkQKf2x04fiKpaWfy2X9ewJVX/xrNqX2mkhSRpE18RERERKRVKbGUZivdsoWqwsJmTYPdW7CX7NJsv6bBOjIOc3DLJsbOmkuwn0eHxFx0ESYkhAI/NvF5bOU+okJtXHduf7/6ao6rJ/YjLjKEx1bu9bmOMYYZ199EVWUlnzz9OGXFrjplQoJCmD9wPmsy15BVnBXIkEVEREREaiixlGZzrVoFwcFETfY9Oay2NnMtAOf2PtfnOpvee5vgkFBGXzDH7/6C4+Oxz5hB0TvLsE6caLL8gdxi3t16lKvP6UdcpO871jaXPSyYayb2Y8WO4xxyFPtcL65nLybOX8SeDZ/x9+9fyYu/+h/Wvvp/ZOz4mqpKz7rKBYMW4LbcvLm3+TvjioiIiIg0RomlNJtz5SoiJ4zHZrf7XTf9aDoD4wbSM6qnT+VLigrZsXolw6fOIDIm1u/+AGLnz6MqPx/X6tWNlnOWVbD0xS8JD7Fx4+T610W2hqsn9sNmDM9+dsivemcvWMSi3z7I2QsuB2D9G6/yyj138Mrdt2O53aREp3BOr3N4Y88bVLnr3+hHRERERKQllFhKs5w4fJgT+/Y165iRkooSvjz+pV/TYL/66D0qK074dMRIQ+yTJ2PrltToJj5lFVXc+OxGdmU5eeyqcXSLDmt2f/7qERPOd0b34tWNR3CWVfhczxhDytARTLr8aq68/0/c8tSLTLr8ao7t3cWhrZsBWDh4IVnFWaw9ura1whcRERGRLkyJpTSLa9UqAOznned33Y3HN1LhrvB5GmxlRQVbPniX1LQzSUxp3lmSACY4mNhLLsH16adUOupudlNZ5eZHL21m/YE8/nT5GKYP6d7svprr+kmpuMoreW1TRrPbCI+yM/6S7xIVF8+Xy/8LwPQ+00kIT+D13a8HKlQRERERkRpKLKVZnCtXEjpgAKF9+/pdNz0znYjgCMb1GOdT+ZyD+ykpLGDkjAv97utUcfPne860fPfdk65blsWdb2zjo+3Huefi4VyaltzivpojrU8c4/rG8exnB3G7rWa3ExwSwpgLLuLAlk3kHc0gxBbCpQMv5dOMT8kuyQ5gxCIiIiIiSiylGapcLkq+2Ej09POaVX9t5lom9JxAmM23aaYFWUcBSExu/mhltbCBAwkbNBDnio9Puv7A8p38Z1MG/2/mIK6blNriflri+kmpHHSUsHJXyxLA0efPxhYcXHPO5XcHfZcqq4q39vp/nqeIiIiISGOUWIrfitPTobKyWceMHCk6wmHnYSb1nuRznYLjnmMyYrr38Lu/+thnzKRk0yaqCgqwLIv/Xb6Dx1fv59pz+vHj8wcFpI+WmD2yJz1jwnl67cEWtRMVF8/QSdP4ZtXHlBW76BfTj7N7ns3ru1/HbbkDE6yIiIiICEospRlcK1dii40lIi3N77rVm8dMSvYnsTyGPSGRkNDAbKQTPXMGVFVRuOpTfvHaVh7/dD9XT+zL3RePwBgTkD5aIsQWxDXn9CN9by67jztb1NbYOZdQUV7G1ys/Ajyb+BwtPsq6o+sCEaqIiIiICKDEUvxkVVXhWr2GqGlTMTab3/XXZq4lxZ5C32jf12YWHM8irkcvv/tqSPjIkdi6dWP1M6/XTH+979KR2ILaP6msduVZfQkLDmrxqGWP1AGkDBvJ5veX4XZXMaPvDOLC4nh9jzbxEREREZHAUWIpfin7+muq8vOxT53md90TVSdYn7WeScmT/BoZLDx+jNgevp136QvniSrW9xxOn71bue+iQfzkgsGnxUhlbfFRoSwYl8ybmzPILz7RorbGzbmEopzj7Nu4nlBbKJcOuJSVh1eSW5oboGhFREREpKtTYil+ca1eA0FBRE3y7aiQ2jZnb6a0stSv8ysrysooLsgP2IhlldviqifX8170QCIry5lvjgek3dZw3bmplFW4eW7doRa1M2DC2cR0615z9Mh3B3+XSqtSm/iIiIiISMAosRS/uFavJmL0aILj4/2uuyFrAzZj46yeZ/lcpyDbs3FPXIBGLLccKWBbZiGX3jAPExmJ85NPAtJuaxjSM5pZI3rw+Op9HC8qa3Y7QUE20mbNJWP712Qf3E9qbCrje4zXJj4iIiIiEjBKLMVnlXl5lH39NVFTpzSr/qGiQyTbk4kMifS5TsHxYwABG7FctSsbW5Bhzrh+2CdNwvXJSiyr+edFtra7LhpOZZXFg+/vbFE7o6ZfSHBYGFs//gDwjFpmuDLYkLUhEGGKiIiISBenxFJ8VpyeDpbVrPWVAIeLDtM3xvdNewAKszyJZWzPwCSWK3dlc2bfeGIjQ7DPmEHl8eOUfbM9IG23hr6JkXx/SipvfJnJ5sP5zW4n3G6nW79U8o8eAeCCfhcQExrDa7tfC1SoIiIiItKFKbEUn7k+XY0tMZHw4cP8rmtZFoeKDvm1Gyx4doQNi4oiwh7td5+nyi4q4+vMIs4b2g0A+3nTICgI1ycft7jt1nTr9IF0iw7jt+9sx+1u/uhqdGI3nA7Phj1htjAuGXAJHx/+GEepI1ChioiIiEgXpcRSfGJVVVGcno59yhRMkP+/No4yByWVJf6PWGYH7qiRVbtyAJg+pDsAwfHxRIwbi/OTlQFpv7XYw4K5ffZQthwp4O2vMpvdTnRiEk6Ho2bq78LBC6l0V3L7mtvJK8sLVLgiIiIi0gUpsRSflG7dSlVhIfZmrq88XHQYgH4x/fyqV3D8GLEBSixX7sqmV2w4Q3t+O/oZPWMm5Tt3ciKj+QlbW1gwNpkxKbE8sHwnxeWVzWojOiGJyhPllLmcAAyIG8C9597L5uObWbRsEVtztgYyZBERERHpQpRYik+K13iPGTnX/2NGAA47PYmlP1Nh3VVVFOVkB2RH2IoqN2v25HLekO4nnVkZPWM6AK7TeHdYgKAgw28uHsHxonL+sWpfs9qITkoCqJkOCzB/0Hyeu+g5bMbG4vcX88rOV07rzYxERERE5PSkxFJ84vp0NRFpadji4ppV/3DRYYJNML3tvX2u43Tk4K6qCshU2C8O5uEqr2T6kG4nXQ/t35/QAQNwrjy9E0uAM/vFMy+tN0+s2U9Gfonf9aMTqxPLnJOuj0gcwStzX2Fir4ncv/5+fpn+S627FBERERG/KLGUJlXm5lL2zTfNngYLnqNGett7ExwU7HOdgqzAnWG5alcOobYgJg1MqnMvesYMSr7YSFVRUYv7aW2/mD0Ut9vi6bUH/a4bnVCdWNZNGmPDYnls5mPcMuYW3t3/LrNfn80DGx4gqzirpSGLiIiISBegxFKa5FqTDoB96tRmt3HEecTvjXuqz7AMxBrLlTuzOfuMBKLC6ia20TNnQGUlrpWn9yY+AL3jIpg9sievbjzi91rLyLg4gmy2OiOW1YJMEDen3czb895mVv9ZvLLzFea8MYe7P7u7Zo2siIiIiEh9lFhKk4rXrMbWLYmwYf4fMwItOWrkGLaQEKITEpvVb7UjeSXsyXZxnnc32FOFjx5NcK9eFL3/QYv6aSvXT+qPs6ySNzb7t+FQUJANe0LiSWss65Mam8r9k+/n3QXvsnDQQpbtW8YV715BSYX/029FREREpGtQYimNsiorcaWvxT5l6kmb3vij2UeNHM8itluPZh1vUtuqXdkAddZXVjNBQcTMmkVxenqHmA47rm88I5NjeO6zg35vtBOdmISricSyWm97b+6aeBePnf8YRSeKSM9Mb064IiIiItIFKLGURpVu3Yq7qKhF6ytbctRIXM8ATIPdlUO/xEhSk6IaLBMzZzZWRQXO03x3WABjDNedm8qebBef7fNvkx17QlKTI5anGt9jPPFh8aw4vMKveiIiIiLSdSixlEa5Pl0NNluzjxkBz8Y94N9RI5ZlUXA8i9gWbtxTVlHFZ/tymX7KMSOnCh89muDevXAuf79F/bWVuaN7kRAVyjOfHfSrXnRiEs68XL9GOoODgpnRdwarM1ZzouqEn5GKiIiISFegxFIaVfLFF0SMHIktJqbZbRxxHvn/7N13dFVV9sDxkwEqTQAAIABJREFU730t76X3BFIJvYN0adJsCOjYHRWwos6MWBj76IzOb2Z0nLGNvWHFNpaxgDTpvaUDIZAQSnp/ef3+/khAkZaX3Je6P2u5JO/ec86O4FrZnHP29rrVSF1VJU5bXbNbjWzMLcXm9DCpz6nvVx6jKArBF15Ezfr1uCsrm7VmSzAb9Vw7MoFlWYUcLGv83cegiCjcTid1Vd59j1MSp1DrrGXjkY3ehiqEEEIIIToBSSzFaXkcDmzp6VjOOadZ8zSp1UhDRdjmJpYrs4swG3WM6hZ+1neDL7oQnE6ql7f947AA149OQqcovL8xr9FjgiKPtRzx7jjsqC6jCDQGsixPjsMKIYQQQoiTSWIpTsuemYnqcGAZOqRZ8zSt1Uh9/8TmHIV1uj0szjjKuB6RmI36s75vHjAAY1wcVYt/aPKaLalLiIUL+8eyaHM+VkfjWo/83MvSu8TSpDcxMWEiKw+uxOXxrs2JEEIIIYTo+CSxFKdl3bETAMuQpieWTW41cvQIKAoh0U1PLH9IP0phlZ1rRzZubUVRCL7oQmrXb8BdUdHkdVvS7HOTqbK5+GrH4Ua9HxRxLLE8dS/LM5maOJUKewXbCrd5PVYIIYQQQnRskliK06rbuRNjXBzG6DPfTzyTprcaOUJQeCQGo7HJa7+zbj/JEf5MOk3/ylMJuvAicLmoXr68yeu2pBHJYfTrEszCRrYe8Q8OQW8weL1jCXBu13Mx681yHFYIIYQQQpxEEktxSqqqUrdjB5ahQ5s1T9NbjRwltBnHYHfkl7Mjv4I55yaj0zW+/6a5fz+MCQlULV7S5LVbkqIozB2bzO7Can7MLDz7+zodgRHetxwB8Df6My5uHMvzl+NRPU0JVwghhBBCdFCSWIpTch0+jKuoqNn3K5vSagTqi/eENKNwzzvrDhDkZ+CK4QlejauvDnshtRs24Covb/L6LemyoXGkRAXwzJLduNxnT/iCmtDL8pgpSVMorismtTi1SeOFEEIIIUTHJImlOKVj9yv9m7tjWZ3vdasRh60Oa2VFk3csj1ba+D7tCFcOTyDQr/GVaI8JuvACcLmoaSfHYQ16HX+8oDc5RTV8sb3grO8HNXHHEmBC/AQMOgPL89vHfxshhBBCCNEyJLEUp1S3YweKvz9+vXo1a578qnyvW41UNlSEDY1t2o7lBxvzcKsqc85NbtJ4c79+GBMTqfphcZPGt4YL+scyJCGUfy/di83pPuO7QRGR1JSVonq8P84abApmdJfRLM1b2qg7nUIIIYQQonOQxFKcUt2OHVgGDUIxeL/j90v51flNaDXS9B6WNqebDzflMbVvDIkR/l6Ph4bjsNMvpnbdOg7ddz+OgrPvArY2RVF48KI+HK2ysXD9gTO+GxgRicftwlpV2aS1piZO5VDNIXaX727SeCGEEEII0fFIYilO4rFase3ejWXI4GbNo6oq+VX5TSrcA03rYfn1zkOUW53MHZvs9dhfirz9diLm3U718uXkXnQxhX//R5tvQTI6JYJJvaP4z8ocKq3O074XFBEFQHWJ9y1HACYlTkKn6KQ6rBBCCCGEOE4SS3GSurR0cLubfb/yWKuRhCDvCuhUFh7BHBiEOSDQq3GqqvLOugP0iQ1iTEqEV2N/TWc2Ez1/Pt0X/0DwzBmULVxIzvkXUP7ZZ82a19f+eGEfqu0uXlm177Tv/NzLsmn3LMPN4QyPGc53ud/h9pz52K0QQgghhOgcJLEUJ6nbsQMAy+Dm7VgeqwjbUq1GNuwrJftoNTeN7YaiNL7FyJkYY2Pp+te/0u2rrzD37cvRx/7UpluR9O0SzGVD4nhn3X6OVtpO+c7xxLKsaYklwJW9r6SgpoA1h9Y0eQ4hhBBCCNFxSGIpTlK3Ywem7t3Rh4Y2a55jPSxbqtXIG2tyCQ8wMXNI4yvQNpa5dy8S3ngdy9ChHH7wwfpd3Tbqnmm9UFX499I9p3xuCQrGYDQ1eccSYEriFGL8Y/gg64MmzyGEEEIIIToOSSzFCVSPh7qdO5vdvxKa1moEoKas9PiuWmNlHq5i5e5i5p6bjNmo92psY+lMJuJfehF9eBgFd92Fs7DQJ+s0V0K4P7PPTeKTrQdZv+/k5FFRFAIjIpp8xxLAqDNyTZ9r2HRkE3vKT53ACiGEEEKIzkMSS3ECx4EDuCsrm32/EprWasTldOJ2Or2+X/nKqn0EmPTcOCbZyyi9Y4iIIOGVV/HU1FBw51146uqOP3MePkzhM8+w97xJVC1u3VYl907rTbfIAP74eSo1dtdJz4Miopq1YwlwRc8rMOvNfJT1UbPmEUIIIYQQ7Z8kluIEx+9XDtFmx9LbViMOay0AJv/Gtwo5UFLLd6mHuX50EiH+Rq/Wawpz7150ffaf2DIzOfzgQ1i3b6dg/j3kTDufsnfeBbebI48+1qptSiwmPf+8chCHK+r463dZJz0Piohs1h1LgFBzKNNTpvNt7reU28qbNZcQQgghhGjfJLEUJ6jbuRNdSAimbt2aNY+qquRV5XlduMfekFj6+Qc0esxrq3Mx6HXcPK55MXsjaNIkohcsoHrJEvKu+y2169YRPmc2PZb+SNLHHwNw+P4FqK6TdwtbyrCkcG6dkMLHm/P5aXfRCc+CIiKpKSvF08yqrtf3vR67284Xe79o1jxCCCGEEKJ9k8RSnMC6YweWIYNRdM37o1FqK6XOVed1qxG71QqAXyN3LAurbHyxrYArh8UTHWz2Os7mCJ87h+gHHiDmT4/R86eVxCxYgDEuDlN8HLFPPEHdzp2UvPJqi8b0a/dM7UXP6EAe+CL1hN6WQRGRqB4PtRXN22nsEdaD0V1G83H2xzg9p++dKYQQQgghOjZJLMVx7spKHDn7NLlfub9yP+B9q5HjO5aWxu1YvrV2Py6Ph9sndPcuQA0oikLE3DmEX3cduoAT4w25ZDohs2ZS8sorWLdta/HYjjEb9fzrqiGU1Dj48/8yjn8eFBEFQHVJ847DQv2uZZG1iGV5y5o9lxBCCCGEaJ8ksRTH1e3aBYBlSPMTy0XZi/A3+DMgYoBX4+xe3LGssDr4YGMeMwZ3JTGi8XcyW0rMY49hjIvj8II/4q6qarU4BsaHcNekHvx3xyGWZBwFfu5lWdPMe5YA4+PHkxiUKK1HhBBCCCE6MUksxXF1u1JBUbAM9C4Z/LWs0ix+zPuR6/tdT6jZu16Y3tyxXLg+D6vDzR3ntfxuZWPoAwOJ++czOAsLOfrEn1FVtdVi+d2kHvSJDeKp7zJxuj0ENiSWza0MC6BTdFzX9zpSi1NJK05r9nxCCCGEEKL9kcRSHGfLzMSUknLSsU5vvbTzJYJMQczuP9vrsY5jdyzPEoPV4eLd9fuZ0ieaPrHBTYqzJVgGDybq97+j6vvvKf7Xv1otuTQZdDxwYR8OltXx6daDmAMCMfj5UV3a9F6Wv3Rpj0sJMgbxl41/ocZRo8mcQgghhBCi/ZDEUhxny8jA3L9fs+bYWbST1QWruWnATQSbvE/4jh+FtVjO+N63qUcotzrb7G7lL0Xcdhuh11xN6RtvUvT3f7Racnle7yjOSQzlxeU52F2ehl6WpZrMHWAM4OmJT5NTnsP8lfNxuB2azCuEEEIIIdoHSSwFAK7iYlxFRZj7NT2xVFWVF3a8QLg5nOv6XNekOexWKyaLBZ1Of8b31uWUEBXkx7CksCat05IUnY7Yxx8n7IYbKFu4kMInn0L1eFo+DkXh/gt6c7TKxoeb8gkKj9BsxxJgXNw4/jL2L2w6uomH1z6MR23571EIIYQQQrQOQ2sHINoGW2YmAJb+/Zs8x8YjG9lydAsPjHgAf2PTiunYrbWYznK/UlVVNuwrZUxKBIqiNGmdlqYoCjEPP4RiNFL29tuoLhexTzze7LYu3jq3eyTndo/glZ9yeCIsgrKMXZrOP6P7DErrSnl227NEmCN4cOSD7eb3SAghhBBCNJ0mP9UqihKqKMrniqJkK4qSpSjKGEVRwhVFWaooyt6Gf4c1vKsoivKCoig5iqKkKopyjhYxiOapy6hvReHXt2+Txquqyos7XiQ2IJYre1/Z5DgcVit+ljMnpbkltRRV2xnTPaLJ67QGRVGIXnA/EbffTsWnn3Lo3vuw5+S0eBz3nd+bkhoHOVYDteXleNxuTeefM2AON/a7kY+yP+Kt9Lc0nVsIIYQQQrRNWm2XPA8sVlW1DzAYyAIeBJarqtoTWN7wNcBFQM+Gf24DXtEoBtEMtsxMTMnJ6AMDmzT+p4M/kVaSxrxB8/DT+zU5Dru19qwVYTfsq78XOCalfSWWUJ9cRs2/m6j586levpzcS2Zw4LfXU/n113hsthaJYVhSGJP7RLPmkBNV9VBTXqb5GvcNv4/pKdN5fvvz/HHVH9lTvkfzNYQQQgghRNvR7MRSUZRgYALwFoCqqg5VVSuAWcDChtcWApc2/HoW8J5abyMQqihKl+bGIZrHlpGJuYnHYD2qh5d2vkRiUCIze8xsVhx2qxW/s/Sw3JBbSmywmaQ22LuyMRRFIXLe7fRc9RPRCxbgLinh8AMPsnfCRErfeqtFivvcO60XJWp9gSQtWo78mk7R8eS5T3LzgJtZVbCKy7+5nN8v/z2pxamaryWEEEIIIVqfFjuWKUAx8I6iKDsURXlTUZQAIEZV1SMADf+Obng/Djj4i/EFDZ+dQFGU2xRF2aooytbiYu0KjIiTucrKcB050uTCPXvK97CnfA9zB8zFqDM2KxZH3ZnvWKqqyqbcUsZ0bz/3K0/HEB5OxM03kbL4BxIXLsR/6FCKnvknxS+84PPkckBcCEP7JgNw5NARn6xh1BuZP2w+P17xI3cOuZMdxTv47fe/5Y5ld2BztczurBBCCCGEaBlaJJYG4BzgFVVVhwK1/Hzs9VROlQ2c9FO0qqqvq6o6XFXV4VFRURqEKU7HllFfuKepO5abjmwC6quCNtfZdiz3FtVQUuNol8dgT0dRFAJGjST+lZcJueJySl95leLnn/d5cnn79BG40fH2f1ewIrvQZ+uE+IVwx+A7+PHy+gRz7aG1/LD/B5+tJ4QQQgghWp4WiWUBUKCq6qaGrz+nPtEsPHbEteHfRb94P+EX4+OBwxrEIZrI1lC4x9yvaYV7Nh3ZRHJwMrEBsc2O5Wx3LI/fr2xnhXsaQ9Hp6PKXvxB65RWUvvqaz5PLvolRxA4ZTWJZJre/vZ5572/jSGWdz9bzN/ozb9A8uod055Pdn/hsHSGEEEII0fKanViqqnoUOKgoSu+Gj6YAmcA3wOyGz2YDXzf8+hvgxobqsKOBymNHZkXrsGVmYkxMRB8c7PVYp8fJtsJtjOoyqtlxuJxO3E7nGRPLjbmlxIVaSAhvn/crz0bR6Yj9858JvfLK+uTyOd8ml9OuuByj28HvEipZubuIqc+u4s01uXg8vllTURSu6n0VGaUZpJek+2QNIYQQQgjR8rSqCvt74ENFUVKBIcD/AX8HpimKsheY1vA1wPdALpADvAHcqVEMoolsGRlNvl+ZUZKB1WVlZOzIZsfhsNYCYDrNUViPR2Vjw/3Kjqw+uXyiPrl87TUqFi3y2VqxPXoRk9KT4P2b+HH+BEZ0C+ep77L44xepuH2UXM7oPgOLwSK7lkIIIYQQHYgmiaWqqjsb7kMOUlX1UlVVy1VVLVVVdYqqqj0b/l3W8K6qqupdqqp2V1V1oKqqW7WIQTSNu6IC56FDmPs3LbE8dr9Si8TSVlufWJ5ux3J3YTXlVmeHul95OseSS8vwYZS89jqq0+mbdRSFoRdeQtmhg3BkL+/MGcH8qT35fFsBdy/agdPt0XzNIFMQl6Rcwg/7f6DSXqn5/EIIIYQQouVptWMp2ilbZn3hHktTC/cc3USf8D6EmkObHcuxHcvTFe85dr9ydAffsTxG0emIuOUWXEePUvWD74rd9B4zHktQMDuXfIuiKMyf2ouHL+7Dt6lHuOOD7dicbs3XvLr31djddr7O+frsLwshhBBCiDZPEstO7lhi6dfX+8I9NpeNnUU7NdmthPqKsAB+llPvWG7ILSUx3J+4UIsm67UHgRMmYOrRndK33vbZXUuDycTAKRewb+tmqorra2zdNqE7T87qz7KsQm59byt1Dm2Ty97hvRkSNYRP93yKR9V+V1QIIYQQQrQsSSw7ubqMDIxxcRjCwrweu7N4J06PU5PCPQD2uoYdy4CTE0u3p6F/ZSc4BvtLik5HxNybsO/eTe269T5bZ/C0iwHYufT745/dMCaZZ64YxLqcEm54axNHK7XtPXl1n6vJq8pj45GNms4rhBBCCCFaniSWnZwtM7PJhXs2HdmEQTEwLGaYJrHYrae/Y5l1pIoqm6vDF+45leAZl2CIiqLs7bd8t0ZkFD1GjCZtxY84Hfbjn185PIEXrz2HjMNVXPj8apZkHPVq3jMdoz0/6XzC/ML4dPenTY5bCCGEEEK0DZJYdmLu6mqcefmYm3i/cvORzQyIHECA8fTtQbzhaDgKe6qqsB25f+XZ6Ewmwm68gdr1G7BlZflsnSEXXIKtuord61af8Pn0QV349g/jiA+zcPv723j4y7QzHo2tsjn5aFM+l728jj6PLeaRL9NwnaIIkElv4rKel7Hy4EqO1nqXsAohhBBCiLZFEstOzJZRf7+yKYlltaOa9NJ0RnbR5n4l/LxjabKcfIdyQ24pKZEBxASbNVuvPQm7+mp0/v6Uvv2Oz9ZI6D+QiPhEdiz+9qT7nN2jAvnvHWO5fWIKH23K55IX1/D1zkP8kHbk+D9f7zzE/EU7GPnXZTz8ZRo1NhczB3flw0353PLeVmrsrpPWvLLXlaiqyud7PvfZ9yWEEEIIIXzP0NoBiNZzrHBPU1qNbCvchkf1MCpWm/uVUF+8x2SxoNPpT/jc5faweX8ZM4d01Wyt9kYfHEzolVdS9sEHRN8zH2NX7f9bHGs9suzNlynav4+YlB4nPDcZdDx0UV/G94ji3k93cveinSfNEWQ2cPk58Vw5PIHB8SEoisLolAge+zqdq17dwNtzRhAb8vNfDsQHxTM+fjyLdi/iNz1/Q9fAzvt7LIQQQgjRnkli2YnZMjIwdOmCITzc67GbjmzCT+/H4OjBmsVjt9ZiOsX9ys0HyqixuxjbPVKztdqj8Nk3UvbBB5QtfI+Yhx70yRo9R57Lsjdf5sCu7ScllseM6xnJTwvOI7/MetKz5IgAzMYT/2LgulGJdA01c9eH27ns5XW8NXsESRH+1Npd1NhdzIyfx7bC2/jDij/w3kXv4W88dbsZIYQQQgjRdkli2Yk1q3DP0U0MiR6Cn95Ps3gcVit+lpOTikWbDxJsNjClb7Rma7VHxq5dCb74Yio++4yIebc3qZLv2fiHhBKV1I281B2Muuyq079nMtAnNrjR857XO5rP5p3LTe9u4eIX1pz0PCjsGvbGvs2j6x7lnxP/iU6RU/pCCCGEEO2J/PTWSblranEcONCkY7CldaXsLd+r6TFYqN+x/HVF2PJaB4vTj3LZ0LiTdsI6o4hbbsbjcJB/42ychw/7ZI2kQUM5tDsLp03b9iL9ugbz1V1jWXBBbx66qA9PXTqA564ewovXDgVrH8Ltv2Fp3lJe3fWqpusKIYQQQgjfk8Syk7JnZ4GqNmnHckvhFgDN+lcej8lqxe9XFWH/u+MQDreHa0YmarpWe2Xu3ZvE11/DeeQIB66+hrqMDM3XSBo4BI/bRUFWuuZzx4aYuWtSD26f2J3rRydx6dA4Zgzuyl9/M5D9ucPoYZnEK7te4ccDP2q+thBCCCGE8B1JLDspW1Y2AOa+3ieWm45sItAYSL+Iph2jPR1H3Yl3LFVVZdHmfAYnhNK3S+OPXXZ0AeeeS9JHH4LRQN4NN1L900+azh/Xtz96o5G8tB2aznsmMwd35YphCezaOYXuQf15dN2jZJdlt9j6QgghhBCieSSx7KRs2Vnow8MxREd5PXbL0S0MixmGQaftFd1f71huzy9nb1EN145I0HSdjsDcqxfJixbhl5xMwZ13Ub5okWZzG01+xPXuR17qyVVffemJmf1JDAvmyN6rCTQG8dCah3B5Tm5RIoQQQggh2h5JLDspe1Y25j59UBTFq3EVtgryqvIYEj1E+5hqa064Y/nx5oMEmPTMGCwtKE7FGB1N0vvvETB+HEef+DOOggLN5k4aNJSSg3nUlJdpNufZBPoZeOHaoZRV+RFhu5qcihy+2PNFi60vhBBCCCGaThLLTkh1OrHv3Ytf3z5ej00rSQNgcJR2bUYAXA4HbpfreGJZZXPybephZg7pSoCfFC8+HV1AADEP1rceqVm9WrN5kwbW/8VBflrL7loOig/l/vN7syWzK8H04R+bnmPeh2uY9/425r2/jc37Wy7RFUIIIYQQjSeJZSdkz92P6nRi7tPX67GpJanoFB39I/prG5O1FgBTw1HYr3ccwub0cK0U7TkrU3IyxoQEalef3MajqaKTU7AEBZOX2nL3LI+5dXwKl5+TgLPoEpxqLdurPiO3pIateWXMfWczaQWVLR6TEEIIIYQ4M0ksOyF7dhYA5qbsWBan0T20u+ZN7O1Wa31M/gGoqsrHmw/Sr0swA+NCNF2nI1IUhcDx46ndtAmP3a7NnDodiQOHkJe+C1VVNZmzsXQ6hWevGszmBbO5vNdvcAas4fWbkvjuD+MJ9Tcx553N7C+pbdGYhBBCCCHEmUli2QnZsrJRzGZM3bp5Nc6jekgrSWNQ5CDNY3Ic37EMIO1QJZlHqrh2ZILXd0A7q4AJ41Hr6rBu3arZnEmDhlBbXkbpwTzN5vTW74b+Dj+DH89ue5aYYDPv3zwSFbjhrU0UVmnbZ1MIIYQQQjSdJJadkC0rC79evVD0eq/G5VXlUeWoYlCU9onlsR1LP39/Pt58ELNRx6yhcZqv01EFjBqFYjJpehw2aeBQAA60wnHYYyItkdw68FZ+OvgTGw5vICUqkHfnjqC81sHstzdTWedstdiEEEIIIcTPJLHsZFRVxZZdXxHWW8cK9wyMHKh1WNjr6ncsVaOF/+06zPSBXQk2GzVfp6PSWSz4jxhBzRrtEsvgyCjCusaT18IFfH7t+n7XExcYx9NbnsblcTEoPpTXbhjOvuIablm4hWqbJJdCCCGEEK1NEstOxnXkCJ7Kyibdr0wtTiXAGEBKSIrmcR0r3rP5sJUau4vLh8lupbcCJ4zHkZuLo+CQZnMmDRxCQWY6LmfrJW9+ej/uG34fORU5vJ/5PgDjekby76uHsC2vnAufWyPVYoUQQgghWpkklp2MLTsbAL8m7FimFqcyIGIAep13R2gbw9FwFPaH3RV0CTEzuluE5mt0dAHjJwBQu0bDtiODhuJy2Dm8O0uzOZtiauJUpiZO5bntz7G6oP77u2RQVz6bdy4GvcLVr2/g7z9kY3e5WzVOIYQQQojOShLLTsaWlQWKgrlXL6/G1bnq2Fu+1yf3K+HnHcufciuZOaQrOp0U7fGWqVsyxvh4ajS8Z5nQbyCKTkdeWuvds4T6yrd/HfdXeof1ZsGqBewp3wPAsKQwvv/DeK4ZkcCrq/Zx6X/Ws/todavGKoQQQgjRGUli2cnYs7MxJSWhCwjwalxWaRYu1eWT+5VQX7xHMZlxqQq/GRrvkzU6OkVRCJzQ0HbE4dBkTj9/f7r07ENeauveswTwN/rz4uQXCTQG8rvlv6OkrgSAAD8Df/vNIN64cThFVTYu/c86copqWjlaIYQQQojORRLLTsaWlY1fU/pXHivcE+WrxLIWG0b6dgmmd2yQT9boDALGj0e1WqnTsO1It8HnULg/h+rSEs3mbKqYgBhemPIC5bZy7l55NzbXzy1HpvWL4ds/jMNs1HH3oh04XJ5WjFQIIYQQonORxLITcVdV4SwowNynr9djU4tTiQuMI9IS6YPIoLyiihrVwGVDu/pk/s4iYNQoFKNR0+OwfcZOBFUla+1Pms3ZHP0j+vO38X8jtTiVP637E6qqHn/WJcTCPy4fRMbhKp79cXcrRimEEEII0blIYtmJ2HfX/6DdpIqwJak+OwYLcLioHIfOj5mDpRpsc+j8/fEfMVzTtiOhsV3o2rsfmatXnJDEtaapSVO5+5y7+eHAD6w5dOL3en7/WK4blchrq3NZl9P6u6xCCCGEEJ2BJJadiC2raRVhi63FHK096rPEUlVVKiqq8A8MIDbE7JM1OpOA8RNw7NuH85B2bUf6T5hMaUE+hbk5ms3ZXLP7zSbIGMSPB3486dlj0/uREhXAfZ/uorxWm/umQgghhBDi9CSx7ERsWVnoIyIwREV5NS61JBXAZxVhdxysAIeNLlFhPpm/swmcMB5A013LXqPHoTcayVy9QrM5m8uoN3JewnmsPLgSp+fEPpsWk54XrhlKaa2dh79MazM7rUIIIYQQHZUklp2ILTsbc9++KIp3rTxSi1Mx6Az0jfD+bmZjfLXjEH6qg6Qu4T6Zv7MxpaRg7NpV03uW5sBAug8bRfa6VbhdzrMPaCFTk6ZS5ahiy9EtJz0bEBfC/ef35of0o3y4Kb8VohNCCCGE6DwksewkVIcDe05Ok+5XppWk0SesD356P83jcro9/G/XYcyqg8AgqQarBUVRCDr/fGpWrcK+b59m8/abMJm66ir279yu2ZzNdW7Xc/E3+LM0b+kpn986PoVxPSJ59Kt07vpoO0crbad8TwghhBBCNI8klp2EPTcXnE6v71e6PW7SS9J91mZk9Z5iqmrqUDxu/Py9660pTi/itlvR+ftT+PTTms2ZPPgc/ENCyVy9XLM5m8tsMDMhfgIr8lfg9rhPeq7TKbw5ezj3TuvFssxCpjz7E2+uycXpllYkQgghhBBaksSykzhWuMfc17vjrDkVOdS56nxWuOebXYeJsdTff5PEUjuG8HAi582jdtVqatau02ROvcFAn7ETyd22mbqaak3m1MLUpKmU2crYXnTqnVSzUc8fpvRk6T1mU8K0AAAgAElEQVQTGdktnKe+y2LGi2vJPFzVwpEKIYQQQnRcklh2EvbsLBSzGVNSklfj0krSABgcNdgXYZFWUMnwLhYA/Pz9fbJGZxV2w/UYExMp+sffUV0uTebsN2EybpeLPRu0u7/ZXOPjxuOn92NZ3rIzvpcY4c/bc0bw2g3DKKt1MO+DbVgd2vx3EUIIIYTo7CSx7CRsWdn49e6Fotd7NS61OJUQvxASghI0j8nucnOgtJakoPo/hibZsdSUzmQi+v77sO/NoeLzzzWZMzo5hciEJDLaUHVYf6M/Y7uOZVn+MjzqmY+4KorCBf1jefHaoeSXWfnXj3taKEohhBBCiI5NEstOQFXV+oqwfbyv6rqreBeDowZ7XUm2MQ6UWPGo0NW/fm7ZsdRe0LRp+I8YQfELL+Kubv7xVUVR6DdhMkf2ZFN2WLs+mc01NWkqRdYiUotTG/X+qJQIfjsqkbfX7WfnwQofRyeEEEII0fFJYtkJOA8exFNVhblfP6/GVdorya3M9dkx2JyiGgCizXLH0lcURSH6wQdwl5dT8uqrmszZd9x5KIqOrDVtZ9dyYsJEDDrDWY/D/tKDF/UhJtjMA5+n4nBJMR8hhBBCiOaQxLITqEurvydpGTjAq3G+vl+5t6gaRYEwY/0P9ZJY+oalf39CLr2U8vfex3HwYLPnCwyPIHnwUHYu+Y7ainINImy+YFMwY7qMYVn+MlRVbdSYILORpy4dwO7Cal75Sbu2LEIIIYQQnZEklp2ALS0dxc8Pv549vRq3s2gnOkXns4qwOUU1xIdZUO11AJjkKKzPRM2fD0Yjxc89r8l8E2+8BafDzvK3X9FkPi1MS5rGoZpDZJVlNXrMlL4xzBzclZdW7mVPYdupdCuEEEII0d5IYtkJ1KWnYe7TB8Vo9GrcruJd9Arrhb/RNwlfTlENPaODsFtrATBZLD5ZR4AxJpqwa6+h6ocfcBQUNHu+iLgExlxxHXs3rWfPxrUaRNh8kxImoVf0Xh2HBXh8Rj8C/Qw88EUqbk/jdjuFEEIIIcSJJLHs4FS3G1tmFuaB3u06uj1uUotTfXYM1u1RyS2ppUd0IHarFZPFgk7nXcVa4Z3wG28EvZ6ydxdqMt+IGb8hJqUHy99+FWtVpSZzNkeoOZThscP5Yf8PHKg80OhxEYF+PD6jPzvyK7j9/a0UVtl8F6QQQgghRAcliWUHZ9+3D9VqxTygv1fjcipysLqsPkssD5ZZcbg89IgKxG6tlVYjLcAYE0PIjBlUfP45rvLm343U6fVcMO9ubDXV/LTwDQ0ibL5re1/LoZpDzPhqBtd9dx0fZn1IaV3pWcfNGtKVR6f3Zc3eEqb+axWLNuc3+q6mEEIIIYSQxLLDs6WlA2DxcsdyV/EuAIZEDdE8Jvi5ImyPmEDstbX4WeR+ZUuIuGkuqs1G+UcfaTJfVFI3Rl12FVlrf2Lftk2azNkcU5KmsPSKpdw//H6cHid/3/x3pnw2hYfXPIzVaT3tOEVRuGV8CkvmT6B/12Ae/G8a172xibzS2haMXgghhBCi/ZLEsoOzZaSjCwjA1K2bV+N2Fe8i3BxOfFC8T+LaeyyxjA7EUVcrFWFbiF+PHgSedx7lH3yIp65OkzlHXXYVkQlJLHvjP9hqazSZszliAmKY3X82n834jC9nfslv+/6W7/Z/x5zFcyiyFp1xbHJkAB/fOpq//WYg6YcqufC5NeyVoj5CCCGEEGcliWUHV5eWjrl/fxSdd7/Vu4p3MThqMIqi+CSunKIaooP8CDYbsVut+ElF2BYTccvNuMvLqfjyS03m0xuMXHDHfGorKljyynN4PG5N5tVCj7AeLBixgBcnv0heVR7XfnctWaVnrhqrKArXjkxk8T0TMOoV/vJtphyLFUIIIYQ4C0ksOzDV4cCenY3Zy/6V5bZy8qryfHa/EiCnuIYe0YEAcseyhVmGDcMyeDBl77yL6nJpMmds956cN/sWcrZsZNmbL7e5RGxC/ATeu+g9dIqO2YtnszJ/5VnHxIVauGdaL9bsLWFZ1pl3OoUQQgghOjtJLDsw2+49qE5nk+9X+iqxVFWVfUU19DyeWFoxB0hi2VIURSH8lptxHjxI9dKlms17zkUzGXXZVaQtX8K6Tz7QbF6t9A7vzcfTP6ZHaA/uXnk3n2R/ctYx149Oomd0IE99l4nd1XZ2YoUQQggh2hpJLDswW3oaAOYB3ieWBsVA/0jvKsk21tEqGzV21/EdS4fsWLa4oMmTMSUnU/rmW5ruLo69+gYGTj6fTV9+wvYfvtFsXq1EWiJ5+4K3mRg/kb9u+iuLDyw+4/tGvY4/zehHXqmVt9ceaJkghRBCCCHaIUksO7C6tHT0oaEY47p6NW5n0U56h/fGYrD4JK5jFWG7Rwficjhwu1xSFbaFKXo94TfNxZaRgXXDBu3mVRSm3nIXPUaMZuW7r5O1bpVmc2vFbDDzzMRnGBI9hIfXPMyWo1vO+P74nlFM7RvDSyv2UiQ9LoUQQgghTkkSyw7MlpaGeeBArwrwuDwuMkozfHu/siGx7BkdhN1a385BqsK2vJBZszDExFD0/POa7lrq9Hqm/+GPxPcdwOL//ItD2Zmaza0Vs8HMi5NfJCEogbtX3M2e8j1nfP/R6X1xulX+sXh3C0UohBBCCNG+SGLZQXmsVuz79mHxsnDPnvI91LnqGBLtm/6VUN9qJMRiJDLQhN1a31tQqsK2PJ2fH5G/uwvbrlSqly3TdG6DycSlf3yMwPAIlr7xEm6NigRpKcQvhFenvorFaOGOpXdwpObIad9NjgzgpnHd+GJ7ATvyy1swSiGEEEKI9kESyw7KlpUFHo/X9yt3Fu0EfFe4B+p3LHtEB6IoCo6GHUu5Y9k6Qi+7DFNKCsX/fk6zCrHH+PkHMGnO7ZQW5LP9+681nVsrXQK78MrUV6hz1TFv2Twq7ZWnffd3k3sQFeTH499k4HB5WjBKIYQQQoi2TxLLDqourb5wj7c7lruKdxFliaJLQBdfhAXAvqIaekT9XBEWZMeytSgGA1H3zMeRm6tZX8tf6jF8FCnDRrL+84+oKmmbLTt6hfXi+cnPk1eVx6u7Xj3te4F+Bv48sz+pBZU8/k16m2upIoQQQgjRmiSx7KBsaekYYmMxREV5NW5X8S6GRA/x6l6mN8pqHZTWOugZ05BY1skdy9YWNHUqlsGDKXnpP3hs2henmTzndlBh5btvaD63VkbEjmBm95l8uvtTiqynT4AvHtiFuyZ15+PNB3l3/YGWC1AIIYQQoo2TxLKDqktP83q3sqSuhEM1h1qkcE/34z0sJbFsbYqiEH3/fbgKCyn/QPv+kyHRMYz+zdXkbNlA7vYzV2BtTbcOuhWP6uHt9LfP+N5903pzfr8Ynvw2k9V7ilsoOiGEEEKItk0Syw7IXVmJMy/f+/6VRbsA39+vBI4fhXU0HIU1yVHYVuU/YgQBEydQ8vobuCtPf8+wqYbPuIzwrvEsf/tVnPa22bIjISiBmT1m8tnuzyisLTztezqdwr+vHkKvmCDu+mg7+4prWjBKIYQQQoi2SRLLDqguPR0A84D+Xo1LLUnFoDPQN6KvL8ICYG9RNRajnrjQ+h6ZttqG4j0W3/TMFI0Xfe+9eKqrKX1D+yOreoORKTffSVVxIZu+/Ezz+bVy68DG7VoG+Bl4c/ZwTHodtyzcSoXV0UIRCiGEEEK0TZolloqi6BVF2aEoyrcNX3dTFGWToih7FUX5RFEUU8Pnfg1f5zQ8T9YqBlHPlp4BgGWAd0dh00vS6RXWCz+9ny/CAup3LLtHB6DT1d/hdFhrMVks6HR6n60pGsfcuzchM2dQ9v4HOPLyNJ8/ccAg+o6fxJZvvuDwnizN59dCfFA8s3rM4vM9n59x1xIgPsyf124YRkG5lXs+2SnFfIQQQgjRqWm5Y3k38MufFv8B/FtV1Z5AOXBzw+c3A+WqqvYA/t3wntCQLT0NY1Ii+pCQRo/xqB4ySjMYGOnd8Vlv/bIiLNRXhZVWI21H1Pz56MxmDt55F+4a7Y94nnfjLQRFRvLVM09RUXhU8/m1cMvAW/CoHt5Kf+us7w5PDufhi/uycncxn28raIHohBBCCCHaJk0SS0VR4oHpwJsNXyvAZODzhlcWApc2/HpWw9c0PJ+i+KoEaSdl270Hc99+Xo05UHmAWmctAyK92+X0Ro3dxeFKGz2if5lY1uJnkfuVbYWxSxfinn8Ox4EDHL7vflS3W9P5/YND+M2DT6C63Xz59yew+SB5ba5f7loerT178jt7TDIjk8N58ttMCqva5v1RIYQQQghf02rH8jngj8CxruERQIWqqsc6rhcAcQ2/jgMOAjQ8r2x4X2jAY7fjLCjALyXFq3FpJfV9L325Y7nvWOGe6CAASgvyKchKJyjSu5YowrcCRo8m5pGHqVm1iuLnntN8/vCu8cy872EqCo/yv3//H26XU/M1muvWQbeiqipvpZ1911KnU/jHFYOwuzw88mWaHIkVQgghRKfU7MRSUZRLgCJVVbf98uNTvKo24tkv571NUZStiqJsLS6Wkv6N5TiQBx4Ppu7eJ5b+Bn+Sg5N9Exi/qAgbHUjF0SN89tSj6I1Gpsyd57M1RdOEX3cdoddcTekbb1L5zTeaz5/QfxDn3/578tNTWfbmy20uGYsLjGNWj1l8sfcLssuyz/p+t8gAFlzQm2VZRXy983ALRCiEEEII0bZosWM5FpipKMoBYBH1R2CfA0IVRTE0vBMPHPtpqwBIAGh4HgKU/XpSVVVfV1V1uKqqw6OiZEersRy5+wC83rHMKMmgf2R/9D4sopN5pAqTXkc4Vj576lHcLhdXPPIkobFdfLamaLrYRx7Bf8QIjjz6GHWpqZrP33/iFEZffg3pK5ey+evPzz6ghd055E4iLBHcvvR29lfuP+v7c8d245zEUJ74XwZF1XIkVgghhBCdS7MTS1VVH1JVNV5V1WTgGmCFqqq/BVYCVzS8Nhv4uuHX3zR8TcPzFWpb265ox+z7ckFRMHXr1ugxDreD7PJsn96vBFiXU8Loria++tufsNVUccXDfyEyIcmna4qmU4xG4l54HkNUFAV/uBvV5Tr7IC+de+Vv6TVqLOs//ZCa8pP+fqlVRftH88a0+tYrt/54K4dqDp3xfb1O4ekrBmN1uPnTVxltbhdWCCGEEMKXfNnH8gHgXkVRcqi/Q3nsstJbQETD5/cCD/owhk7HkZuLMS4Ondnc6DG7y3bj8rgYEOG7xLK42k7uoRKGZH5KdUkxlz3wODEpPXy2ntCGISyMqHvuwXX0KLassx8J9ZaiKIy7bjYej5tdP36n+fzNlRySzOvTXsfqsnLLklsoshad8f0e0YHcO60XizOO8tXOMyeiQgghhBAdiaaJpaqqP6mqeknDr3NVVR2pqmoPVVWvVFXV3vC5reHrHg3Pc7WMobOz5+Z6fb8yvTQd8G3hnnU5JYyq2AJlR5l138PE9/Xt7qjQjv/IEQBYN2/2yfxhsV3pPmwUO5f+gNNh98kazdE7vDevTn2VUlspt/14G+W28jO+f8u4boxMDueBz9PYvL9t7cIKIYQQQviKL3csRQtT3W4c+/fj183LxLIknQhzBLEBsT6KDNbsLqRPbQ49Rowmecgwn60jtGeMjsbUrRu1mzf5bI1h02dhq64ia/VKn63RHIOiBvHS5JcoqCngd8t/h0f1nPZdg17H6zcOIz7cwq3vbSWnqLoFIxVCCCGEaB2SWHYgzsOHUe32JlWEHRA5AF+1E1VVlX07t2F219FvwmSfrCF8y3/USOq2bvPJPUuA+L4DiE7uzrbvv26zdxNHdhnJI6MeIbUklfWH15/x3VB/EwvnjsSo1zH77S0USX9LIYQQQnRwklh2II7c+lPFft27N3pMtaOaA5UHfFq4J6eohpiiDHTmALoNOcdn6wjfCRg5Ek9tLbasLJ/MrygKw6bPouzQQQ7s2u6TNbRwScolRFmi+CDzg7O+mxDuzztzRlBudXDTwi3U2H2TlAshhBBCtAWSWHYg9n31iaU3FWEzSzNRUX16v3JNxkFSrPvpNnIseoPRZ+sI3/Ef0XDPcpPvjsP2Pnc8AWHhbPvuK5+t0VxGvZFr+lzDusPr2Fex76zvD4wP4T/XnUPWkWru+nA7Tvfpj9AKIYQQQrRnklh2IPbcfejDwzGEhTV6TFpJGoBPdyzT16/DoLoZOW2az9YQvmWIisLUvTu1PirgA6A3GBl6wSXkpe6gJP+Az9Zprit6XYGf3o8Psz487Ttbj249XuRnUp9onrp0AKv2FPPuugMtFKUQQgghRMuSxLIDceTuxy/Fu/uVGSUZJAQlEOIX4pOYnG4Pyr5tuAPD6dKzj0/WEC3Df+SIRt2zVFUVV3ExNWvXUb5oEe6a2kavMWjqhRhMfmz7/pvmhusz4eZwLkm5hP/t+x8VtoqTnq8pWMPcJXP5/Yrf4/a4Abh2ZCITe0Xxwoq9lNU6WjpkIYQQQgifk8Syg1BVFce+fZi8uF8JPxfu8ZWNabl0sRYQe85YnxUHEi0jYNQoPFYrtoyMUz4v+/BD8ubOZe/YcewdP4GDt9zC0Sf+TPG/nm30GpagYPpNmETW2pVYK09O2tqK6/tej81t4/O9n5/weWFtIY+sfYRwczi7infxQdbPdzEfmd6XWruLF5bvbelwhRBCCCF8ThLLDsJdVoa7shK/lMbfryy2FlNoLfTp/crNy5ahAOdNv8hna4iWceye5amOw9alplL45FO4iosJnDyJmIcfJnHhQkKvuoryRZ9gy85u9DrnXDwLt9PJzh+/0yx2rfUI68GYLmP4OOtjnB4nAG6PmwfXPIjNbePdC9/lvITzeHHHi+yv3A9Ar5ggrhmZyAcb89hXXNOa4QshhBBCaE4Syw7Cvq++kIgppfE7lukl6YBv71fWZm6mKqgricmJPltDtAxDRASmHt2xbjo5sSz5z8voQ0JIXvQJXZ96ivAbbyBg1Eii770HfXAwhX/9v0a3EYmIS6DHiNFs/fYrasrLtP42NHN9v+spqiti6YGlALyW+hpbC7fy6OhH6RbSjT+N/hN+ej8eW/fY8SOx90zthdmo52/fNz7RFkIIIYRoDySx7CAcufW7In5e9LBMK0lDr+jpE+6bu4+5e/YSUFtE8IDRPplftLyAkaOwbt+O6nQe/6wuLZ2aVasInzsHfWDACe/rQ0OJmn831i1bqF6ypNHrTLj+JjwuJ2s+eler0DU3Lm4cycHJvJ/5PluObuG11NeY2X0mM7vPBCDKP4qHRj3EruJdvJ/5fv1nQX7ccV53lmUVsn5fSWuGL4QQQgihKUksOwh77j4Uf38MsbGNHpNekk7PsJ5YDBafxLTm+8W40TFqymSfzC9anv/Ikai/umdZ8vLL6EJCCLv++lOOCb3ySvz69KHwH0/jqatr1DphsV0ZNv1SMlev4PAe3/TObC6douO3fX9Lemk6d6+4m8SgRB4Z9cgJ70zvNp3JCZN5cceL5FbWtwO6eVw34kItPPVtFm5P43ZxhRBCCCHaOkksOwjHvlz8kpNRdI37LVVVlfTSdPpH9PdJPB6Pm6KdGygISGRkXzkG21H4j2y4Z9lwHLYuPYOalSsJn30j+sDAU45R9HpiH3kY15EjlL75VqPXGvWbqwkMC2fFO6+hetpm/8eZ3WcSZArC7rbzzMRn8Df6n/BcURQeG/MYFqOFx9Y+hsPtwGzU88cLe5N5pIr/bi9opciFEEIIIbQliWUHYd+f61VF2PzqfKod1T4r3HMwPQ1dXRW6nsMxGeSPWUdhCA/Hr2dPrA0FfEpefhldcDDhN9xwxnH+I0YQfPFFlL75Js5Dhxq1lslsYcL1N1GYm0P6T8uaHbsv+Bv9eXbis/xn6n9Oe6Q80hLJI6MeIbUklWmfT+O5bc8xtJuHwQmh/PPH3dTYz9y+RQghhBCiPZCf+DsAT20trsNHvL5fCb4r3LN5yffYdH4MHHOuT+YXrcd/5Eis27dTl5pKzYoV9buVQUFnHRe9YAEoCoVPP9PotfqMnUjX3v1Y8/FCbLVts5LqmK5jGN3lzPeIL+p2Ea9Pe53BUYN5J+MdLvlqOoGJ71DqSeNv37fNo75CCCGEEN6QxLIDsO8/AICpW+MTy4ySDCwGC91Dvet72Rh1NdXk79jM7sBenNe/q+bzi9blP2okal0dhxYsQBcUdNbdymOMXboQcdutVC9ZQtE//9mo462KojB57u3UVVex4bOPmht6qxrTdQwvTH6BJZcv4fbBt3OkLhdLwtt8mv0F63KkkI8QQggh2jdJLDsAR259qxFvdyz7hvfFoDNoHk/m6pXgdqHvM4ruUae+dyfar2P9LJ15+YTfeCP64OBGj4287TZCr7ma0jff4tD8expVzCemW3cGT72QHUu+peRgXpPjbitiA2K5a8hdLLl8CWO6jMXc5Uvu/d8nciRWCCGEEO2aJJYdgD03F/R6TImNK5Lj9DjJLsv2yTFYVVXZuPgHCk1RXHn+KM3nF63PEBaGX+/e6AIDCb+xcbuVxygGA7GPP070Aw9QvXQpebPn4Co5+27d2KtvwGS2sO6TD5oadptj1Bv596RnSQzqTm3o2zz47fenfG9jbim5xW3zGLAQQgghxDGSWHYAjn25mBITUUymRr2fU56D3W33SeGeov37sBUepCBqANP6xWg+v2gbYh9/nPgXX0AfEuL1WEVRiJg7h/gXX8C+dy8Hrroa+969ZxxjCQrmnItnkrNlA8V5+5sadpsTYAzg3YteI8AQzMqKv/NNevrxZwdKarnp3S1c8/pGZry4lpW7i1oxUiGEEEKIM5PEsgOw5+ZiSvG+cE//SO1bjaz7/jtcip6RU6Zh1Msfr47K/5yhBIwZ06w5gqZOJen99/E4HRz47fXU/aI35qmcc9EsTBZ/Nn6xqFnrtjVR/lG8feFr6HUuHts0n5zSQp5enM35/17NptxS7j+/F0kRAdz87hbe39j+jwILIYQQomOSn/zbOdXpxJGfj58XiWV6STqhfqHEB8ZrGovTbiN34xr2BXTnuvG9NJ1bdEyWAf1J/ngRusAADt50M7bs7NO+aw4M5JyLZrBn0zpK8g+0XJAtoH9ULxYM+QduXQmzPr2Vl1ft5pJBXVh5/3n8bnJPPps3hkm9o3nsq3Se/DYTt0dt7ZCFEEIIIU4giWU75zhYAE4nJi8K96SXpjMgcgCKomgaS8a6tShOG8GDxxIdbNZ0btFxmeLjSFq4EMViIX/uTdj27Dntu+dMvxSj2cLG/34CgLOwsKXC9Lkbhk5iUsTv0fnv58KJa3n2qsHH/z8K8DPw+o3DmXNuMm+t3c/t72/D6pBiP0IIIYRoOySxbOd+rgjbuLYhVqeVfRX7fFK4Z81331FhCOHKS87TfG7RsZkSEkha+C6K0Uj+nLnYc3JO+Z4lMIihF17C7o1ryfvoA3Imnod127YWjtZ3Xpx5M3cOvpN1hYt5K/2tE57pdQpPzOzPEzP6sSK7kAe/SENVZedSCCGEEG2DJJbtnH1fLgCmbt0a9X5maSYe1aN54Z6yI4dwFOyluOtgRnYL13Ru0TmYkpJIXPgu6HXkzZlbX+34FIZNvxSjycSGj98DoHbTphaM0vfmDZ7HRd0u4vntz7Msb9lJz+eM7ca903rxza7DfLH9UCtEKIQQQghxMkks2znr9m0YkxLRBzauX2RGaX2BlP4R2hbuWfb1t3hQOPfCCzQ/Yis6D79u3Uh6911QVQ7eehuu8vKT3vEPDqFncASHLEas0ZHU7djZ8oH6kKIoPDn2SQZFDeKhNQ8d/3/2l+44rwejU8L509fp0opECCGEEG2CJJbtmMdqxbphI0HnndfoMWklacQFxhFhidAuDreb/Rt+4lBAEpeP077SrOhc/Lp3J+GVl3EVF3PonntRXSfeJazLyKDLqg3odXoO9OpG3a5dqB5PK0XrG356P56f9Dxh5jD+sPwPFNaeeJdUr1N47uqhmAw6fv/xDuwudytFKoQQQghRTxLLdqx2/XpUh4PASZMbPSa9JF3z3codq1djsFUTMXwiAX4GTecWnZNl0CBi//JnrBs3Uvj008c/V91ujj7xZ/xDQhky7SLyasopc9pxnObYbHsWaYnkpSkvUeOsYfbi2WSXnVgxNzbEzDNXDCbjcBVPL97dqDnzq/LZVrhN7mYKIYQQQnOSWLZj1StWogsKwn/YOY16v8xWxqGaQ5rfr1z79ZdUGoK54tJpms4rOrfQSy8lfPaNlL/3PhVf/BeAis8+w5aWRswDDzDyyusIDAlja0oXjqz+qXWD9ZFeYb148/w3cXqcXP/99fxv3/9OeD6tXwyzxyTx1tr9rMwuOut8C1YvYM7iOcz6ehYfZn1IjUOO0QohhBBCG5JYtlOqx0PNqlUEjh+PYjQ2akx6STqAphVhC3NzcB3J5Wj8cPp2DdVsXiEAohcswH/MaI4+8QTVK1ZS9K9/4z96NMGXTMc/OIQrHv8biqLw/bLvqCzqOK1Hfmlg1EA+ueQTBkYO5OG1D/N/m/4Pp9t5/PlDF/elT2wQ93+2i6Jq22nnKaguILM0k2lJ0wgwBPD3zX9n8meTeXLDk5TWlbbEtyKEEEKIDkwSy3bKlpqKu7SUwMneHYPVKTr6RfTTLI5VX/4Xh2Jk2NTzNZtTiGMUg4G4f/0LQ0wMBXfeiaeujtg/PXa8QFR41zgmhsbicjn5/K+PUltxcrGfjiDSEskb57/Bjf1u5OPsj7lpyU0crjkMgNmo56XrhlJjd/HQGVqQLM9fDsA9w+7h40s+5uPpH3N+0vn8N+e//Gvbv1rsexFCCCFExySJZTtVvWIl6PUEjh/X6DHpJemkhKTgb/TXJIbainIObl1HdlBvLh3VQ5M5hfg1Q1gY8f/5D7rgYCLvmIdfSsoJz7sMH8nwnAJqy8v4/K+PYavpmFxZrKYAACAASURBVMc7DToDC0Ys4JkJz7C7fDezvprFK7teweay0SM6iAcu7MPy7CI+3XrwlOOX5y+nT3gfEoISgPqTC0+Ne4qpiVPZcHiD3LsUQgghRLNIYtlO1axcif+wYehDQhr1vqqqpJeka3q/ctfSH8DjxjhwAjHBZs3mFeLXzL170XPtGqLuvPOkZ5YhQwmz2jn/glmUHy7gv39/HJfD0QpRtowLu13I17O+ZkL8BF7e+TKXfn0py/OWM3tMEmNSIvjL/zI5WGY9YUyxtZidRTuZkjjlpPnO7XouxXXF5FTktNS3IIQQQogOSBLLdshRUIB9714CJ09q9JhDNYcot5drdr/S5XSydfF3HLAkcvG4QZrMKcSZ6EymU35uGTgAdDrCS8q5+A8LOLJ3NysXvt7C0bWsLoFdePa8Z3nz/DexGCzM/2k+d664gz9f1h2donDfp7twe37egVyRvwIVlWlJJxfYGtN1DADrD69vsfiFEEII0fFIYtkO1axYCUDQpMYnluml2hbu2bNhDc6aSrLCB3NB/1hN5hSiKXQBAfj16U3dzp30GjWWEbOuIHXZYjJXr2jt0HxuVJdRfDbjMx4Y8QDrD69nScEiHp/Zn80Hynhr7c8tWH7MW0qUXzz3fniEYU8uZfoLa7hl4RYe/SqNLzbXEGNOZG2BJJZCCCGEaDppOtgO1fy0ElNKCqakpEaPSS9Ox6Qz0TOsZ7PXV1WVrd9/TcX/s3ff8TVf/wPHX3dkLxlEhlgJIhJJ7KgVIxLEKjVqK1r9qi7V6kBRtNUqWtpSo7Ygtti1CYlRe0SWiOw97r2f3x+X+6OJJGIk4TwfjzySez9nfW4i8r7nnPfRt6RBkybi7EqhzBl7epK6ORhJreaNtwZx99oV9vy5gCo1amHjVKOsh/dCKeVK3q7/NuH3w1lxaQU7evanU31bfth9jaY1rTl5J5JTd0+Tm9gae00+HVxtiU/PITo5m9A7yaRk5WNg60hc1ml6/XaIN2pXpVWdyjSpYVXWtyYIgiAIQgUiZiwrGHV6OpmnTmP2FMtgAS4kXMDV2hU9ecmOJilK7LUr3L99kzCzBvRsVO2Z2xOEZ2Xk5YUmK4vc69eRKxR0+WAC+oZGbPlpJnnZWcU38AoY6zmWPHUeiy8uZkYvd8wMlfRYcJTvD28CmYYJb7zJvo/bMutND/4a1pRd41sT/nUn/p3ix3ifrsjk+WTIbjD/wA36LDzO1nOxZX1LgiAIgiBUICKwrGAyjxwBlQrTp1gGm6PK4XLS5ee2DPbszi2olQYk2HnQsrb1c2lTEJ6FkacnANlhYQCYWlrR9YMJpNyNZfeiea9FxtOaFjXp7tydtVfXkk8S8/p70dPLgeYNYrAzsWNE09Yo5LIC9UwMlAzxbo9SrqRzk1TCvu6Ek5Uxa08Xnl1WEARBEAShMCKwrGDS9x9AUamS7g/pkthzZw/ZquxCM0I+rfiIW1w7cYTzpvXp4lUdpUL8CAllT8/REYWNDdnh4brnqrl50LLfIK4dP8yx9avIy8kuwxG+HGM8xgDw27nf8HG2YVovFy6lhNLeqb3u7M/CGOsZ41nZkxOxJ7Aw0qOHlwNHbyZwLy3nZQ1dEARBEIQKTkQFFYikUpHxzz+YtmmDTKEocb0N1zZQ3bw6jW0bP1v/ksShFX8iMzDmlLl2NkQQygOZTIaRZ0OyHgksAZoG9salqQ8nglbz26i32Tn/R+6cD0ejUZfRSF8sO1M73qr7FsE3g7mdept/ov8hX5NfaDbY/2ph34LLSZdJzE6kh6c9kgRbwp+8HHZ/5H5mnZrFuqvrOHPvDKm5qc/zVgRBEARBqGBE1pUKJDssDE1q6lMtg72Veouz8Wf5sNGHRc5YlKits6eJvHiem7U7UqOyNW725s/UniA8T8ZeXmTs3YcqMRGltXaJtkwup9tHnxN79TKX/tnP1eOHuXT4AKbWNvgOGYVLM58yHvXzN9J9JEHXg5gfNh8Aa0NrGlZuWGw9H3sf5oXN48TdE3Sp1YWG1SqxKSyGd1rXeqxcel46M0/NZMvNLShlSlSSSnetslFl2ju15wPvDzDVN32+NyYIgiAIQrkmZiwrkMzTp0Emw8SnRYnrbLy2EaVMSWDtwGfqW6NW88/fS9C3smWXuiaDWtR45kBVEJ4n3T7Lc+cee14mk+FQrz4dR73P6EXL6Tr+M4xMzdj560+kxt8ri6G+UNZG1gyuP5iQOyEcjDqIr5MvCnnxKxxcrVyxMLDgeOxxAHp42nPpbhrX7qXryoTGhfLmljfZdmsboz1Gc2rgKUJ6h/Br+1/5uNHHNLZtzLpr6+gR3IMjMUde2D0KgiAIglD+iMCyAsk+G4aBszMK85LNFOar89lycwttq7XFxsjmmfo+v283SbHRHLNqTs0q5vRvIrLBCuWLoZsb6OnpEvgURk/fgLotWtHj068ACFk0F0mjeVlDfGmGuA3BwsCCPE0eHap3KFEdhVxBs6rNOB57HEmS6Ophj0IuY3NYDPnqfOacmcPw3cNRyBUs91/O+17vo6fQw87UjlaOrRjaYCiz28xmhf8KTPVMeXfvu3x55EuxRFYQBEEQXhMisKwgJI2G7PBwjLy8Slxnf9R+knOT6V2n9zP1nZuVxbH1K1HaO3NcZccXAa4iaY9Q7sgNDTF0dSU7LLzYsuaVq9B28AgiL54nfM+OlzC6l8tM34xxXuOoa1mXJlWblLiej70P8dnx3Eq9RWUzA1q52LD53G3e3/8+f138i951erOh24Yil9Z6VPZgXbd1vOP+DttubaNncE8uJ15+HrclCIIgCEI5JqKDCiL3xg00GRkYeZc8sAy6FoSdiR0t7Eq+dLYwp4LXk52WyhbDRvg42+Bbr8oztScIL4qxlyfZFy6gyS4+A6y7rx81Gnrzz8q/SIm7+xJG93L1rduXDYEbnurs2hb22t8Vx2KPAdDZw4Jk8wUcjz3BFJ8pfNPiG4z1jIttR1+hzzjvcazqsopcdS5L/11aqnsQBEEQBKHiEIFlBfFwFsa4hDOW0enRHL97nJ4uPUu0v+pJ0hLiObs9GHUtL25hxaQurmJvpVBumfn5IeXmkrJ+fbFlZTIZnUaPQ6FQsuu3n1/JJbFPy97UnhrmNTgWe4zE7ETWR09CYRSNl+H/6OXS66nbq29dH18nXw5HHyZfnf8CRiwIgiAIQnkhAssKIvvsWRRWVug5OZWo/MbrG5HL5PR07vlM/R5btxIJiTVqd3p5OeJmb/FM7QnCi2Ts7Y1x48YkLl6CJi+v2PJm1ja0GzqKmCv/cnbn1pcwwvKvhX0Lztw7w9BdQ4lMv4O3/keEXa5Grqp0R7S0d2pPen46p+NOP+eRCoIgCIJQnojAsoLICg/DyMurRLOFKo2K4BvBtLRvSVWTqqXuM+VeHJcOHyCpWmOyDMz41K9uqdsShJfFeswYVPfukbp5c4nK12/tSy3vJhxZvYzE6MgXPLryr4VdC7JV2SRmJ7Ko4yJGNPYnLUfFgSv3S9Vec7vmGCmN2Be57zmPVBAEQRCE8kQElhWAKjGR/DuRGJdwf+WRmCPEZ8c/c9Ke08EbQCYnKN+FUa1qUdXC8JnaE4SXwaSlD4YNGpD4x59IKlWx5WUyGR1H/Q99Y2M2zpxMRlLiSxhl+eXj4MOQ+kNY0nkJ3rbetKxtjY2pAZvDYkrVnqHSkDcc3uBA1AE0klhuLAiCIAivKhFYVgDZ4dr9lSXNCBt0PQgbIxtaO7YudZ/piQlcPLiX+/aeGFWyYnSb2qVuSxBeJplMhs2Y0eRHRZG2c2eJ6phaWtFr4mSy09MJ+u4bcjIzXvAoyy8DhQGfNPmEelb1AFAq5AQ2tGfv5Xv0XXic91ae4evgi8zbd531oVGcjUwmLafo/ZO+Tr7cz77PhYQLL+MWBEEQBEEoA8qyHoBQvKyzZ0FPT3tOXzHS8tI4EnOEAfUGPFU2yP86vTUISZLYTl2GNXPCxED8qAgVh6mvLwYuziQsWoR5ly7I5MW/h2Zby5nuH09i48zJBH8/jd5fTEWpr/8SRlv+DWtZg/sZudxLy+FKXDoJ6Qmk5Tw+G1zZzADnyqZ0crNlUPPqjx1J1MqhFUqZkn2R+2hYuSHpeel8eeRLpr0xDTN9s5d9O4IgCIIgvAAiWqgAssPCMapfH7mBQbFl90fuR6VR0blG51L3l5mSzIW9u1HX9iZDbU6/ptVK3dZrR6OB5NsgSaBnpP3QNwGFPohsui+NTC7HetRoYj/9lPR9+zDv2LFE9ap7eOI/9kO2//I923/5nm4fTUT+IKtyWkI80ZcuIpPLqdeyzWuVHbmalTHz+j++YiJXpSY2JYeb8RncuJ/BjfgMLsWmMWXrJTaejWFmb3ddsi8LAwuaVG3C/sj9fOj9IQejDrI/aj8How7SrXa3srglQRAEQRCeM7EUtpzT5OWRc/EiRt7eJSq/O2I3DqYONLBpUOo+Q7dtQq1SsV1WH996VbCzMCp1W6+M9DjY/jEsC9R+Pvk73DwAqdEQdRqOzoVV/WB2TZjnDfMbwU/1tY+nVdF+vnWorO/itWLu3xk9JycSFy5CkqQS16vXsg3thrzDjdPH2f7zbHb99jN//m8Ef4wdzs4Fc9gx7wd2LpiDKv/1Pj7DQKmgpo0JHerbMqZNbX7o05Dt495g/gAv7qbmEDj/KDN3XiEnX5tN1tfJlztpd7iVeotN1zcBsPnG/ydYioqKol27dri6uuLm5sbcuXN115KSkujYsSMuLi507NiR5ORkAFauXImHhwceHh74+Phw7tw5XZ1du3ZRt25dnJ2dmTlz5hPvY9myZbi4uODi4sKyZct0z+fl5TFq1Cjq1KlDvXr1CAoKKrT+mTNncHd3x9nZmXHjxul+1tavX4+bmxtyuZzQ0NBiX8+srCy6dOlCvXr1cHNzY+LEibpr//zzD97e3iiVSjZs2KB7/s6dOzRq1AhPT0/c3NxYuHBhsf0IgiAIwosiZizLudxLl5Dy8jDy8iy2bGpuKidiTzDIbVCpZ1Oy09M4F7IDs/qNicgy5utmJTve5JWVmwHH5mk/1LlQ1R3Or4fc1IJlrWqDa1eo1gyUhpCfBfnZkJcJFzbAqrdgwBqo1fZl38VrSaZUYv3OSOK++prMo8cwfaNliet6B3QnMzWFU5vXY2hqhqOrG97+gTjWd+d2WChH1iwn7X483T+ZhJGZ+Qu8i4pFJpPR1cOeVs6VmbHjMgsP3WTnxbssGtSIdtXaMf3kdHbe3sm5+9oAMDw+nIy8DEz1TVEqlfz44494e3uTnp6OdyNvmrdpTjPPZsycOZP27dszceJEZs6cycyZM5k1axY1a9bk0KFDWFpasnPnTkaNGsXJkydRq9WMHTuWPXv24OjoSJMmTQgMDKR+/fqPjTcpKYkpU6YQGhqKTCajUaNGBAYGYmlpyfTp06lSpQrXrl1Do9GQlJRU6D2/++67/P777zRv3pyAgAB27dqFv78/DRo0YOPGjYwePbrEr98nn3xCu3btyMvLo3379uzcuRN/f3+cnJxYunQpP/zww2Pl7ezsOHbsGAYGBmRkZNCgQQMCAwOxt7d/yu+cIAiCIDw7EViWc1lhDxL3eBYfWO6P3I9KUuFXw6/U/Z3duYX83BzOm3vhoG9EmzpVSt1WhaZWwdllcHAmZMZD/R7Q/muwrq1d5ppxD+5fhcTrYGwDTi3AzPbJ7TUaCsu6PQgu14rg8iWp1L07CQt+Je7bqdh98w0mPj4lrtuq/xAademBkanZY3s0q9SohYVtVXb9+hOrv/qEnp99g6Wdw4sYfoVlYazHrDc96O5lz7jV4Xy6/jzBY1vibuPOtlvbUMqV5GnyUMqVHIg6QLfa3bCzs8POzk7bgAFkWGbwbtC7HHE7QnBwMAcPHgRgyJAhtG3bllmzZuHzyPezefPmREdHA3Dq1CmcnZ2pVasWAP369SM4OLhAYLl79246duyIlZUVAB07dmTXrl3079+fJUuWcOXKFQDkcjk2NjYF7vPu3bukpaXRokULAAYPHszmzZvx9/fH1dX1qV4zY2Nj2rVrB4C+vj7e3t66+6lRo4ZuHI/Sf2QPcG5uLhqNyLorCIIglB2xFLacyz57Fj1HR/SqFB/g7YrYhaOpI/Wt6hdbtjC5WZmE7dyKvWdT9sbJ6dekGgr567OPTCfxJizxg+0faQPJkfug7zLt16DdK2lWFWq1gSYjwa1H0UElgIkNDNmqndVc9ZZ2Ga3wwsn09bGf+R3kq4gcPoLId0aRc/Vqiesbm1sUmvinnk9r+nw1g5yMDFZ9+QmRF88/z2G/Mnxq2/BlF1cuxKQSdDYaXydfYjJiyFJlAZClynpsOSxAviafUWtGkXgjkRyHHBaeX8i9e/d0QaednR3x8fEF+lq8eDH+/v4AxMTEUK3a/+8Nd3R0JCam4HEpTyqXkpICwFdffYW3tzd9+vTh3r17hdZ3dHQstp9HxcbGEhAQUGSZlJQUtm7dSvv27YssB9olxB4eHlSrVo3PPvtMzFYKgiAIZUbMWJZjkiSRFR6GyYN3w4uSnJPMybsnGeo2tNTLYMNDdpCblcmdai1QpOfTt8lrlrRHkiDsb9j5GSiU0HsxNOj9/JLumNjAkC3afZqr+0H/1VDb9/m0LTyRSfPm1Nq5g+SVq0hYuJDbPXpi0aMHlT8cX6I3bJ7Eoa4rA6b9yKZZU1j/7Rd4+nWhVf8h6BsZP8fRV0zjD4xnX+Q+3WMzV5j6b+Flw+LDcF/mrnuszlFz+7vbVB1QFUcbR1b8u6LY8y8PHDjA4sWLOXLkCEChe2oL+734pHIqlYro6GhatmzJnDlzmDNnDp988gkrVqwoUf2i2Nvbs2PHjideV6lU9O/fn3HjxulmXItSrVo1zp8/T2xsLD169ODNN9/E1raYN7oEQRAE4QUQM5blWH5MDOr7CRiX4PzKfZH7UEvqUi+DVeXnE7ZrK9UaeLL+NnRwrYKtuWGp2qqQspJg3SDY8j44eMO7x8D9zeefyfXRmcuVfeDIz9pMssILJTcwwHr4MJxDdmM1bBhp27Zxp/8A8ouZXSpOpap2DPzuJ7z9AwkP2cHSj8dyO6z4RC2vug8bfUhdy7oYKYtP/JWv+f8kSJJKImp+FFY+VjTr1IzvW3+PkZ4RcnM5sbGxgHb5aZVH3hA4f/48I0eOJDg4GGtra0A7cxgVFaUrEx0djb29PSdPnsTT0xNPT0+2bNnyxHLW1tYYGxvTs2dPAPr06cPZs2dRq9W6+l9//TWOjo665aqP1n8Wo0aNwsXFhfHjxz9VPXt7e9zc3Dh8+PAz9S8IgiAIpSUCy3IsOywMAKMSBJa7I3ZT3by67lDzp3XlyEEyk5NQu7clMTOPgc2ql6qdCkWSIO4i7J8Ov7aAq7ugwxQYHAwWjsXXLy0Taxi2Hep1gb3fwIrukBb74voTdBSVKmE74VOqr1qFOj2dO4OHkBf9bMGlvqER7YaOov/U2egbGbFx5mR2zP+RjOTCk728LLlZmQT/MI3crMyX3nd18+qs7bqWsZ5jMVQYIpcV/1+NJEnELInB0N6Q6ZOms7brWhpWacj7nu+j10CPr+Z+BWizuHbv3h2AyMhIevXqxYoVK6hTp46urSZNmnD9+nVu375NXl4ea9asITAwkGbNmhEeHk54eDiBgYH4+fkREhJCcnIyycnJhISE4Ofnh0wmo1u3brp9nfv27aN+/fooFApd/alTp2JnZ4eZmRknTpxAkiSWL1+uG1tpfPnll6SmpvLzzz+XqHx0dDTZ2dkAJCcnc/ToUerWrVvq/gVBEAThmUiSVO4/GjVqJL2OYidPlq54N5I0KlWR5RKzEyWPZR7S3DNzS9WPRqOR/vroXWnZJ2OltxYelVrN2i+p1ZpStVUhxP0rSXunSNJcL0n6xlySJleSpKVdJSkm7OWOQ6ORpDPLJGlaVUmaWV2SLm19uf2/5rIuXJSuNGkqXfdtL+VGRT+XNvPz8qQja/+W5vQPlOb07y5tmztbir12pdCyqvx8KScz47n0W5h/D+2TfujbRfr3n/2PPR8ZGSm1bdtWqlevnlS/fn3p559/1l1LTEyUOnToIDk7O0sdOnSQkpKSJEmSpL///ltyd3eX3N3dpRYtWkjh4eG6Ojt37pTq1Kkj1a5dW/ruu+8KjCMiNUJ6c8ubUo1RNSR9W31J31ZfchjpIDVY2kBqsLSBZFzXWNKvqi/pV9GXAKlWnVpSw4YNpYYNG0rbt2+X8tX5UtcVXSXDyoaSQqmQFAqFlJiYKEmSJI0YMUIyNzeXTExMJENDQ8nIyEjavn27JEmStH37dsnFxUWqVauWNG3atMfG9MUXX0iOjo6SiYmJtHjxYql27dpS7dq1pdmzZ0u+vr6Su7u71KxZM6lp06aSu7u75OvrK/3444+Ss7Oz5OzsLC1dulTX1unTpyU3NzepVq1a0tixYyWNRvu7c+PGjZKDg4Okr68vValSRerUqZMkSZIUExMj+fv7F3idoqKiJECqV6+e7v7/+OMPSZIk6dSpU5KDg4NkbGwsWVlZSfXr15ckSZJCQkIkd3d3ycPDQ3J3d5cWLVpUkh8NQRAEoYICQqVyEJs96UMmPcX5boWRyWTVgOVAVUAD/C5J0lyZTGYFrAVqABFAX0mSkmXaDShzgQAgCxgqSdLZovpo3LixVJJzwF41t3r0RGllhdOSxUWWW3d1Hd+e+JYN3TZQ1+rp362+HRbKxpmT8R78HsMOS0zoXJf32jqXdtjlV34O7P8Wji8AmRxqtoL63aFeNzCtXHbjSrgOQSPg7jnwGgSdvgUjy7Ibz2sk++K/RI4YgcLEBKfly9F3fD7ZXVPi7hK2exsXD+whLzuLqrVdcPf1Izc7i4Q7t7kfGUFSTBQyuYIh38+nUlW7J7al0aiRyeRPvXd67ZTPib50gWpuHvT9eobu+bt373L37l3dsR6NGjVi8+bN1K9fnwkTJmBlZaU71iM5OZlZs2Zx7NgxXF1ddcd6TJ48WXesR506dR471mP16tUFsq8mJCbg2tAV28/t0cjyuTH5Bs6TnVGYKLj13S3s+tlRu0Ftlvsvx9ak4P7AsPgw3pz3JkPfGMqs3rPIyMjQXRs1ahReXl68++67XLp0iYCAACIiIop8bU6cOEH16tVxcXF5rK0+ffrQtWtXhgwZwv79+/nrr79YsWIFSUlJNG7c+LFjSc6cOYOlpfh3KgiCILw8MpnsjCRJjct6HE/yPJbCqoCPJUlyBZoDY2UyWX1gIrBPkiQXYN+DxwD+gMuDj1HAb89hDK8cdXo6udeulXgZbA3zGtSxrFNs2cKEbtuIqZU1h/Md0VPI6NPoFUzaExsOv7eB4/Oh8XD45Lp2yWvj4WUbVALYuMCIvdByPISvgvlNtOdePuObPkLxjBq44bRkMerMTCIHDyY7PPy5tFupqh3thrzD6N+W4jt8DLnZ2ez5Yz7//L2EyH/PY2JphZd/IEgSx4NWP7EdtSqflZ9/xObZU1Gr8p9Y7r9yszK5e017VEbs1cvkZmXprtnZ2eHt7Q2AmZkZrq6uukymwcHBDBkyBNAe67F5szZjq4+Pjy6IetKxHvr6+rpjPf5rT8geGrVqhEklQxQmCkzdTEm/kK67bqAw4H2v9wsNKgG8qnjRz68fm+I3IfH4vwuZTEZaWhoAqampJdrj2Lx58/8/2uQRly5d0mVibdeune5eHj2WxNLSUncsiSAIgiAI/++Zs8JKknQXuPvg63SZTHYZcAC6A20fFFsGHAQ+e/D88gfTuSdkMlklmUxm96Ad4YG0bdtAo8G0TesiyyVkJxB6L5RRHqNKlQ323q0bRF48T/N+Q5kffpcAdzsqmxmUdtjlj1oFR36CQzPBpDK8HQTOHcp6VAUp9aHjFG0W2q0faGcww1dB1zlgWaOsR/dKM3LTBpdRo0YT0a8/Jj4tsHn3XYybNHnmtvWNjPHy64pnxwASoiMxtbTCyMxcd12SJM5uD6Zpjz5YOxR8Qyds51biI24SH3GTkIW/0HnsRyX6d34z9CRypRK1Kh+5UsnNMyep36pdgXIRERGEhYXRrFkzgOdyrMfJkycL1ImJiSFeP578B8Gx0lKP/CSN7r2Tm7/fpN8fg6jt3RePrsNRyOUo5DKqWRrRr6kTrnbmfNjoQ/ZH7idf/XiAPXnyZDp16sS8efPIzMxk7969gPZYj5EjRxaZgfW/GjZsSFBQEB988AGbNm0iPT2dxMTEEh9fIgiCIAivs+eavEcmk9UAvICTgO3DYPHB54dp/ByAqEeqRT947r9tjZLJZKEymSz0/v37z3OY5Z4kSSSvWo2hmxuG7u5Flg2JCEEjafCrXrpssKHbNqFvZMRNqwak56gY4lOjVO08F2oVRBzVJtO5tKX0M3YaDUSdhr2TYUFTODAN6vfQZnotj0Hlo+w8YORe8J8NUSdhQXMI+QpSooqvK5SakZsbziG7qfLpp+Rcu86dQYOJePttMv75B01OzjO3L5PLqexU47GgEqBp9zdR6utzfP2qAnUyU5I5HrSGml6NafnWIC4dPsCRNctL1N+FA3vIz9EmdcnPyebigT0FymRkZNC7d29+/vlnzM3NC1wvzMNjPWbNmgWU/LiNnPwc4jLjANCT62GkMKKRTTtMlJWoPqYGLtNcqPG5E3FXz3Lpn22kZOURn57D6tNR+M89TO/fjnH4Sg596/RHLam5lXpL1/bq1asZOnQo0dHR7Nixg0GDBqHRaIo91qMwP/zwA4cOHcLLy4tDhw7h4OCAUqks1bEigiAIgvC6eW7nWMpkMlMgCBgvSVJaEf/pFnahwP/akiT9DvwO2j2Wz2ucFUF2aCi5169jN31akX+8ZOVnsfjiYhpYN8DZ8un3RKbdj+fq8cN4+wcy4+w93B0s8KpW6VmG/vRyM+DaLri6E27sgZzUza03RQAAIABJREFU/7/m2AQ6TQOn5oXXiTwOciUoDUBhoP2cEqm9lnEPZAqo0RI6fKPdS1lRyBXQbDTU6wp7vtYu3z2+AOoHQvOxUO3ZZ9KEguQmJliPGI7lwAGkrFtP4mLtLCZKJYZ16mDo4Y6RuzvGjRujX/35ZE02NrfAO6A7JzetpVnPvlSuXlN37ciaFajycmk7eCSWdg5kJCVwavN6zKxs8PTrQvCP07lx6njh96J8/Fd7zNVL/PhWV91jtUbD4sOnqVu1Morbl3XP29racvfuXezs7J54rMfOnTtLdKzH6NGjAZg6dSopRinkJ+VjqDCkrlVdlBZK/N7ww7+nP+/vf5+rSVfBDAYMa4kqMoW577agUaNGGGgk6nq3JsmmNx+uPUclU2225i/2/cLH3l9T386cxYsX65altmjRgpycHBISEh4be0nZ29uzceNGQBt4BwUFYWFhgaOjoy5D7MP7bNu27VO3LwiCIAivsucSWMpkMj20QeVKSZI2Pnj63sMlrjKZzA54uKYqGnh0zZcjIM5aeETy6tXIzc0xDwgostyyf5cRnxXP962/L1U/Z3cGI5PJkNxacW39Db5/0+PlvgufkwaLO8H9y2Bsow2k6vhBzTZweYt25nKJn/b5thMh8QZc3AjXQ0CVA/pmIJeDKlf7gQT6ptpZyXpdwKVjxU6CY+EAby7WBsan/oAzy+DfTWDXEMz/M8mvbwK1faFOZzC2KpvxviLkhoZYDR5EpX5vkXn4MNnnzpNz8QJp23eQsmYtAMZNmmDZvx9mHTog09d/pv4ad+1J+O5tHF23kh6ffglol6hfPLiHRl16YGWvDaZ8h48hIzmJfX8txMTSktYDhpIaf4/kuzGocnMfa1OjUj3xsSRJrDt9nqqWFvTx60DrAUN11wIDA1m2bBkTJ0586mM9HBwcWLNmDatWrcLNzY3wR/arrl2/ltQLqQTYBvC+9/s0HduUObPnYKo05YfGP7D09lL+vvg3wVuD+WzgZ7pjPXTj10gcv5XIqlORXJDkXEw7SN8/m4C6EukaU35eFsSPX47n8uXL5OTkULly6fZNJyQkYGVlhVwu57vvvmP48OEA+Pn58cUXX5CcnAxASEgI3333Xan6EARBEIRX1fPICitDu4cySZKk8Y88/z2QKEnSTJlMNhGwkiRpgkwm6wK8jzYrbDPgF0mSmhbVx+uUFVZ1/z7X2/liNXAgtp9PfGK5uMw4um3qRptqbfihzQ9P3U9OZga/vzcM5ybN2WLRlpO3Ezn+eXsM9RTPMvyS06hhdT+4uR/6LIW6AdqZukflZcLxX+Hoz5D3IHOjSRXt7GODXlCtuTawBO2yWXW+Ntur4rlNxJcvuRlwbjWcXweq7MevZcQ/mKWVg5MP1AvQLv+1eD5ZTgWQNBryIu6Qvm8vKWvXkR8djcLamkq9e2Pati3KyjYora2RGxs/ddsngtZwdN3fDJzxE7a1nFnzzWekxMUy/OdFGBib6Mrl5+aw/ttJ3I+4jW1tZ7JSU0lLTECdl1tE64+7nZDMgv3HcK5RHRML7QqFGTNmEBAQQGJiIn379iUyMhInJyfWr1+PlZUVI0eOJCgoiOoPZmqVSiUPfyfv2LGD8ePHo1arGT58OJMmTSrQ5ycHP0F1UsW2P7YBMGnSJIYNG0ZmZiatW7cmPz+f1JxUrD2sOb32NApFwd9DEyZMYNWqVcTGxqKspKRhQAsGDPmDjftPcnrFd1jpa6hibsjs2bPp1KlTkXssH23L3t6ekSNHMnnyZDZs2MDnn3+OTCajdevWLFiwAAMD7Z7zJUuWMGPGjMfGLwiCIAgvU3nPCvs8Ass3gMPABbTHjQB8gXaf5TrACYgE+kiSlPQgEJ0PdEZ73MgwSZKKjBpfp8Ay4bffuD/3F2rt3IFBzZpPLPf54c8JiQhhS88tOJg+ffBwZvtmDi7/E79JswlcfZvRbWrzWed6zzL0p7N7knaJZ9eftJlZi5JxHy6sB1s3qPFGwQBU0AbWsWFwZTtc3QHxl0DPBHosALeeZT26V46k0ZB59CjJa9aSceCAdl/vAzIjI5Q2NpgHBGAzelSJAs287Cz++N9IqtZ2oX6rduyY9wOdRo/D3bdTgbJZaamELJpHXnYWRmbmGJlbADJuhh4nKy21wGzlo5QGBljZO9J1/GdYVi0+e2p5NenIJPbc2cPu3rsxVprzTfC/rDkdRZs6lfmlnxcWxnplPURBEARBeO5e+cDyZXhdAktJpeJGh44Y1KpV5NmV5++fZ+COgbzj/g7jvMc9fT8aDUvGj8bE0pLIFsNZeOgmhz/zxaGS0bMMv+TC/obgsdB0FASUbhmvUIyEG7D5XYg+BT7/g/aTX92Z3DKWf+8euVevokpIRJWYgDohkbyICDIOHUJpZ4ftxImYdepY7DLz01uC+GflXxiYmFDJ1o6B0+cgk5c8v5qk0XBi0zpOblqHOj+vwHWZTEbTHn1o2fftp2q3PLqZcpMewT14t+G7vOf5HgCrTkbyzZaL2Fcy4vdBjalb1ayMRykIgiAIz1d5DyzFX5rlSMbBg6ji4qj61ZdPLCNJErNOz8LGyIYR7iNK1c/tc2dIuXeXpn0GMvtgFB3r2768oPLOcdg6Hmq1BT+xR+mFsXGGodth9+dwbJ72HM83/yr7MztfQXq2tujZFjx/MevMGeK+nUbMBx9g4uOD7Zdfou9UDU1ODlJ2NpqcHGT6+rq6nn5dCN22iazUFNoNGfXUwZ9MLseichXkCgXqQo68lCSJC/t3U9enNZWdapTmVsuN2pVq065aO1ZeXslQt6EY6xkzoJkTdauaMubvs3T55TC25oZUMTfA1kz7uZaNCZ3cqmL/sn7XCYIgCMJrRgSW5UjyqtUo7ewwbdPmiWV23t7J+fvnmeozFRM9kyeWK0r4rm2YWFpxxaAmSZkXGdKiRilH/JSS78DagVDJSbuvUsygvVhKfejyIzg0gm0fwu9tIPAXqN0exFEJL5xxo0bU3LCe5DVruT93LreekIzLuEVzrAYNwrRNG7qM+5Sk2Bgc6tUvVZ+PHjMCoNQ3QPXI/suczEyCv/+W4XN/R17Bl5SPcB/BgagDbLi2gcFugwFoVN2K7f97g+XH7xCbks299Bxu3s/g2M0E0nJUTN56icbVLeniYUeAux225oZlfBeCIAiC8OoQS2HLidzbt7nlH0Dl8R9gM2ZMoWWyVdkEbg7E0sCSNV3XIJc9/XK25LsxLBk/mhZ9BvDdXSdy8tWEfNj6xWeDTY+Dv/whMxHe2Qc2Li+2P+Fxd8/B2re1x7HY1IEmI6FhfzAs2fmFwrNRJSaSsiEINGpkhkbIjQyRGRqiiosjec1aVHFx6Dk6YjlgAJXe7I2ihOdKPio3K5Pf3nkbtSofuVKJoYkp7YaO4sDS38nJzECjUiFXKNCo1XT7cCJ1mr/xAu705Rq+ezh30u6ws9dO9BVFZ+e9nZDJ9vOxbDt/lytx6chk0NvbkZm93FEqKvbSYEEQBOH1IJbCCiWSsmYN6OlRqXfvJ5bZeH0jcZlxzHhjRqmCSoDwkB3IFUpSnRpzIfQ63/Zo8OKDyqwkWN4D0u/BoE0iqCwLdg1h7GntcSWn/4CdE2DvFGj4FngO1M5qilnMF0ZpbY3N6FGFXrMeOZL0vftI/vtv4mfPJmnFCmquW4vyKY/MuBl6EplcjlLfgMo1atJzwtcYmZlT3d2TTbOncj/iNiBhaGJK6NZNuDRr+XKPF3oBRjYYyei9o2mztg01LWpS06ImtSxqUdOiJnYmdtia2GJpYIlMJqOmjQnv+7rwvq8LN+LT+ftEJEuPRQAwu7cHcnnFfi3KgpSfjyYzE0mtRlKrtUmsHnz98PFjnwt7XqUGjfr/r+flocnNQ8rNRcrLQ7+6U5GreARBEITyQ8xYlgNSfj7X3miFaUsfHObMKbSMRtLQbVM3rAytWBGwolT95OVks2jMEOzcvZme6Y2dhRGbxvpgoHyBS+JyUmFZIMRfhoHrtHsrhbIXcxZO/wkXNoA6V7s82a2n9sPOUwSZZSTrzBkiR4zE0NUVp2VLkT/FGZlrp3xO9KULePkH0nbQCOSPHNmhUas5uGIxYTu3UKmqPSlxsfSbMvuJS27z7txBz94emV75zq4qSRK77+zmTNwZbqfd5nbKbeKz4x8royfXw9bYFhsjG8z0zTDVN8Vc3xxTPVOuR5ux/YQ1Q1u48E23+hU+0H6R1CkpxH7+Bfn34tCkpKJOTUWTmfnC+5Xp6VH3XHiFTzglCILwPIgZS6FYmSdPoUlNxbxr1yeWORJzhMj0SN73er/U/Vw+fIC87Cx2qmuTq9Iwb4DXiw0q8zJh1Vtw7yK8tVIEleWJgzc4/Ap+M7THk1zcCMcXwNG5YO0MPRZCtSZlPcrXjnGjRth/N4OYDz8ibupU7L79tsTBjrGFBQHjPsW1ZcHZHblCge/QUdi51OX6iaPkpKcRum1ToYFlXkQEN/0D0HOqRpXx4zHz8yu3f9TLZDI61+hM5xqddc+l56UTmRZJXFYc9zLvcS9L+5GQlUBiTiJ30u6QkZ9BWl4aKo0KK1cTVt/0IHd7T77r6l+Gd1O+ZV+4QMaBAxg3boyhSx0UlSyQW1igMDUFhQKZQgFyufbzfx/L5ciUyscfP/K8TC7X1ZHp6yMzMECmr0/qpk3c/3kumrQ0FJUqlfVLIAiCIBRDBJblQHpICHJjY0xatnximVWXV1HFqAodqncoVR+SJBG2axvYOLIv0Ygf+jagdmXT0g65eKpcWDMQok5C7z+hbufi6wgvn1El8Byg/chKgivb4PCPsLQL9PwNGjx5abbwYpj7+5Nz9SqJCxdhWLceVoPeLraOOj0dz+vR2I/wLrKca8s2uLZsw5E1Kzi5eR3JcbEFzrPMvnBRey6qSk3Mhx9h2KABVT7+CJMWLZ7pvl4WM30z3GzccMOtyHIaSUNoXChB14PYJe1hW+JxTq5eyMfNRuFf07/U2w1eVeqkJADspn2Lfo0aL6VPPQdHAFRJSSKwFARBqADE/5xlTFKrSd+7F9O2bZAbGBRa5nbqbY7GHqVv3b7oyUu3NC3q3wskRkeyT+ZCT29Hens7PMuwi6bOh/XD4NYBCJwngpOKwtgKvAfDyP3aGc0Nw+HQbG2QURI5qbBmgPaz8EwqjxuHqa8v92bOJPPEiWLLZ+zfT8a+fWQcOFCi9r06d0WhUHBme3CBa7lXr4CeHrV2bMdu5neokhKJHDacO28P4t7MWSStXEnGoUPk3ryJlFfwvMyKQi6T09SuKbNaz+JA3/04y98mLi2TiYcn8ta2tzgWc4yKsFXkZVElagNLhbX1S+tTaW0FgDox8aX1KQiCIJSeCCzLWFboGdRJSZh18ntimdVXVqMn1+PNOm+Wup9T24PJVRiSU839xSbs0ahh87twdTv4fw9exc+2COWMiTUMDgaPt+DAdNg4CvJziq93dSdc2Q5Xd734Mb7iZHI59rNnoV+zBjEfjCcvMrLI8ilBGx/7/FBUVBTt2rXD1dUVNzc35s6dC4BJJUscvJow9svJONeuTceOHUlOTgZg9fYd9Iy8g2eTJgTMnk3GrFlUmfgZqpRktvy+iEbDhlO/Y0c+b96C22/1K3Q8y5Ytw8XFBRcXF5YtW6Z7vm3bttStWxdPT088PT2Jj48vtP6kSZOoVq0apqaPr6qIjIykXbt2eHl54eHhwY4dO4p8XYpqa+HChbi7u+Pp6Ulgx65M9uxCU/1pZEe9yT/fH8W3uS+W1S0Z/+X4Yvt4HaiTEpHp6SE3fYErXf7jYRD7MKgVBEEQyjcRWJax9JAQZIaGmLZuVfj1vHSCbwTjX9Mfa6PSvVN879YNIs6e4l8zV+YObIapwQtaAS1J2vMSL6yH9t9As8KzYAoVgNIAei6Cdl/ChXWwrCsk3iy6TtiKxz8/8KTgBiApKYmOHTvi4uLyWHCzcuVKPDw88PDwwMfHh3Pnzunq7Nq1i7p16+Ls7MzMmTOfOJxnDW7OnDmDu7s7zs7OjBs3rsDs1Q8//IBMJiMhIaHo1wUYPnw4VapUoUGDBo89/9VXX+Hh4YGnpyedOnUiNjYWgIMHD2Ll4ECvW7fofvECnzRvTsKi39HkFAzw1enpZIeHA5AdFoY6I0N3TalU8uOPP3L58mVOnDjBggULuHTpEgD/3IjEubIlf38/g/bt2+tey6pJSWwcOozz58/z1VdfMeb997EeOpQawcHMlMnYdeQw5w8fZpek4dKVywXGk5SUxJQpUzh58iSnTp1iypQpuu8raL+34eHhhIeHU6VKlUJfr27dunHq1KkCz0+bNo2+ffsSFhbGmjVreO+994p83Ytqa8CAAVy4cIHw8HAmTJjAZ59+wq8DG2NxQ0N2ojPfrP4Ft2/d+HXhr3y387vXfvZSlZiEwtr6pSY4UlppZyxVSWLGUhAEoSIQgWUZkjQa0vfswbTVG8iNjQstE3wjmCxVFgNcB5SqD41Gzab5P5OlMKJlr7dwd7R4liE/mSTB7klwdhm0+hhaffRi+hFeHpkM2nwKfZbC/WvwW0s48Zv2SIH/ykmFqNPar6NOQU6a7lJRwc3MmTNp3749169ffyy4qVmzJocOHdIFN6NGad+kUKvVjB07lp07d3Lp0iVWr16ta+tRzyO4effdd/n999+5fv06169fZ9eu/5+JjYqKYs+ePTg5OZXopRw6dOhj9R/69NNPOX/+POHh4XTt2pWpU6fqrrVq1Ypzly4RfvEin/boyf2ffuJmQACpW7ciPfI9yNi/H/SUD19s7eMH7Ozs8PbW7rs0MzPD1dWVmJgYAEIOHKRnlwDCdm1lYP/+BG3YwOkNq8m1t+RgUjTRly7SvHlzoqOjATh16hTOzs7UbdqUSs2a0auFD/sSErXHRDxi9+7ddOzYESsrKywtLenYsWOh916U5s2bY2dnV+B5mUxGWpr2Zys1NRV7e/sCZUralvkjZ4VmZmYik8kw1lcypo0z+pKK1SHVmNHoD0yNTFl+aznTT05HrVEXaOd1oU5K0gV6L4vC0lLbt5ixFARBqBBEYFmGss+dQxUfj1mnToVe10gaVl1ZhWdlT9ysi05E8SThu3eQGRNBuEMbhvu6Pstwn0ytgv3fwokF0GwM+H71YvoRyoZbT3jvONRsBbsmwl/+kHDj8TJXd4Liwf5fhZ728QNFBTfBwcEMGTIEgCFDhrB582YAfHx8sHzwR2VhwU2tWrXQ19enX79+BAcX3Cf4rMHN3bt3SUtLo0WLFshkMgYPHqwbG8CHH37I7NmzSzx707p1a6wK+aO8sODmvwxq1qTarwtwWrYMZSVLYj+dQETft8h+MIubErQRKTMLACkrq8By2IciIiIICwujWbNmANy7d4+O/QeTlZpC8JQJxEZF8s/6lWQa6KFGImzXVhYvXoy/vzZTakxMDNWqVdO152BrS7wqH01W1mP9/Leco6Oj7vsNMGzYMDw9Pfn222+fehZw8uTJ/P333zg6OhIQEMC8efMAiI2NJSAg4KnaAliwYAG1a9dmwoQJ/PLLLwAMfbsfPvUcuPxjf3y9G/HZx1N4p9k7rL26lk8OfUKuOvep+3kVqJKSULzkwFKmVKKwsBAzloIgCBWECCzLUHrIHtDTw7Rt20KvH4k5QlR6FANdB5au/aQE/lm9jDtG1fDv1hlDved8tEhOGhybD794ajOJeg0Cv+/EGYivIgsHGLBOewzJ/cuwsKX2e/9wBidsBeQ9WIKZl1FgOexDhQU3D2eT7OzsCl2WWlRw89+g5aFnDW5iYmJwdHQstP6WLVtwcHCgYcOGj9UJDQ1l5MiRhd53UR7uAVy5cuVjM5bHjx+nYcOG+Pv7s3fAQCKHDCHnwexszsWLRLzVj8v1XMkKC3usvayzZ7lcz/Wxj9A6delSrx5fNmjwWDDr5N4Qtzbtqe7hjdLAkN6t/Wl7JYr6b7Rl145t/PnHH8yaNQugwOske5Bs7L9nGRb2ej4MmFeuXMmFCxc4fPgwhw8fZsWKpzuTd/Xq1QwdOpTo6Gh27NjBoEGD0Gg02Nvbl2i/5X+NHTuWmzdvMmvWLKZNmwZo37wwM9Ln1L83cBm3lKkzvsclpx2fNv6UvZF7Gb1nNKm5r1+CKnVioi6ZzsuksLYWM5aCIAgVhAgsy4gkSaSHhGDi0wKFmVmhZR4eMdK+evtS9XFw2Z/k56s4X82Xt5vXeIbR/kfiTe2y1zn1IWQSVHKCfquh2y9QTs+7E56DdYNg8xjtsldVjvZ7P9UKJltol78+Kuqk9vlHPjK+MKe3T21+7lPjseCmKAcOHGDx4sVPDG6AQmf5njW4eVL9rKwspk+f/lgA+FDjxo35888/i7+p/5g+fTpRUVEMHDiQ+fPnA+Dt7c2dO3c4d+4c//vf/xhz/BgG9eohMzIq2EB+fpGP8yWJ8XF36eHiwtBff9U9b2trS1xcHJ3f+5DGbw3Gzt4e/cgolJUrI3eqzdoT4cya8DHWDxKoODo6EhUVpat/NyOdKko9Thw9qtuvumXLlgLloqOjdUtWHRy02ajNzMwYMGAAp06dQq1W6+p//fXXRb5Wixcvpm/fvgC0aNGCnJycEu1xLU6/fv10M9KrVq2ic+fOeNWwYfGY9ujZ12P492tZtNURH7MPCI8/x+Cdgzl1t+C+zVeVJEkPZixfXkbYh5RWVmLGUhAEoYIQUUAZybl0ifyYGMyfkA32TtqdZzpi5HZYKNdOHOGkhTcDOnpjpP8Ms5Xp9+D8egh+H372gHne2r12dfzgnQMwbAfUCxBB5auuwxSo6g56hewHVucV+ThfLdF7fS4DfarT64u/dM/b2tpy9+5dQLv89NH9jufPn2fkyJEEBwc/Mbh5GLScPHnyuQY3jo6OuuW3j9a/efMmt2/fpmHDhtSoUYPo6Gi8vb2Ji4t7mleyUAMGDCAoKAjQLpF9mMU0ICAAlSRhtmghlcf9D5mhYYn/rUkyGV/dj6dBs2ZMO3fusfMHAwMDdUmNli1bRvfu3cm5do0EBwfe+d843u3uT8bN/0/O06RJE65fv87t27fJy8tj45EjtDM1pbGLi26/amBgIH5+foSEhJCcnExycjIhISH4+fmhUql0QWB+fj7btm2jQYMGKBQKXf3CAvZHOTk5sW/fPgAuX75MTk4OlStXLtkL/B/Xr1/Xfb19+3ZcXFx0fezfvx9JkvC0M6JqbhQT+7fHxdaUfaH2pEcMJSIpiREhIxizdwxXk66Wqv+KRMrKQsrJKbsZy6Tk4gsKgiAIZU5EAmUkPWQPKBSY+rYr9HrQ9SAUMgW9XHo9ddv5uTnsW/IbOSY23LFrwtvNq5dukJIEW8fDj3Vg40i4vEUbWPh/D+PPw5uLtecdCq8H69ow6hC0mwRKIyjhAfISMkZszcfVy4eP1t3QtvNAYcENaI+V6NWrFytWrKBOnTq68v8NbtasWUNgYCDNmjV7rsGNnZ0dZmZmnDhxAkmSWL58Od27d8fd3Z34+HgiIiKIiIjA0dGRs2fPUrVq1VK9pI8GN1u2bKFevXoAxMXF6WZNT506hUajwaZKFayHDaPW5k0Y1K1b+OzlI2RGRlysXJktyckcu3cPL29vPD09dUtGJ06cyJ49e3BxcWHPnj189vHH5N24wfzbt0hMTGTd8TNM+G0Jnh4egDYJ0/z58/Hz88PV1ZVenTrhYmBQYCmslZUVX331FU2aNKFJkyZ8/fXXWFlZkZubi5+fny4LroODA++8806hY58wYQKOjo5kZWXh6OjI5MmTAfjxxx/5448/aNiwIf3792fp0qXIZLIi91g+qa358+fj5uaGp6cnc+bM0f0cjh07loyMDBo0aECTJk0YMXw4H/fryNJhTTk9qQPTO/dEETsRRUo3wu+dp8/WPkw8PJGYjIJLsl8VqgeJrxSWLz+wVFpbiXMsBUEQKghZRUih3rhxYyk0NLSsh/HcSJLELf8A9OztcFqypMD1fE0+HdZ3wLOyJ3N95xbSQtGOrFnOyU3rCKrancG9fBnTpnbxlQpt6CfYOxkajwDvQVDVA+TPeZ+mUDEl3oT1QyHxBuRnPbmcQp8jKVVpNeci7u7uyB/MtM2YMYOAgAASExPp27cvkZGRODk5sX79eqysrBg5ciRBQUFUr659U0SpVPLwd8COHTsYP348arWa4cOHM2nSpEK7XrJkCTNmzAC0+xiHDRtGZmYmrVu3Jj8/H7VaTYcOHZgzZw4KRcGf69DQUIYOHUp2djb+/v7MmzevwLLbGjVqEBoaio2NDaGhoSxcuLDQ5bD9+/fn4MGDJCQkYGtry5QpUxgxYgS9e/fm6tWryOVyqlevzsKFC3FwcGD+/Pn89ttvKJVKjIyMmDNnDj4+Prr2JI2GxEWLSFi4CCm3YDIZmYEBNmNGYz16NLISzm7mXL3G7e7dsf/+eyy6dSUrNYVF7w7BO6A7bd4eXqB89r//EtH7TRznz8OsQ4cS9fGquBGfwaDFJ8nIT6drqyvsidmAkdKItV3XYm9afKbaiib73Dki3uqH48LfMHtCToAX5f78BSTMn0+9C+eR6T396h1BEIRXiUwmOyNJUuOyHseTiMCyDORcu8btwO5UnfwNlv0KHjC+985ePjz4IQvaL6C1Y+unajsrLZU/3h9OgpUL26x8OfKZLyalObfy8jZY+zY06A29/xQJeYSCNBpt0qbDP2j3XD6JwhDqB0LDflCrrXhz4jlJDQ7m7tSpuoywj1EosJs+nUo9upe8vS1biJ3wGTW3BGP4YJZ48/fTiLtxlVG/LkX+n+A7LyKCm539sZ81E4vuJe/nVRGVlMXAP0+SmJHLt32q8P2FsVQzq8Zy/+UYKg3LenjPVfr+A0S/9x411q/DyN39pfadvHo1cVOm4vzPIfSecDSQIAjC66K8B5ZiKWwZSA/ZAzIZZu0LT8oTdD1Ibp8LAAAgAElEQVSIKsZV8LH3KfR6UcJ2bUOVm8s2uRsjW9UqXVB59zxsHAUOjaD7fBFUCoWTy6FSNZA/4WdM3wRafwpeA+D6bvi7F/zkBnu+gfRn35P4unv0mBFAu/fyIbWa+z/99FTHeeRcvYpMTw+DmjV1z7m1bU9mSjIR588WKC83MdF29Z+lsK+LalbGrB/TAvtKRny+9h5+VT7ictJlPj3wDbEpWWTnvTpnXqofJM952edYArqEQeokkRlWEAShvBOB5Uumyc0lZd06jJs1Q1lI0om4zDiOxhylp3NPlE/6g/0J8rKzCNu1lZQqddFY2DK4RSn2Vqbfg9X9wcgS+q0CvaL3cQmvuUePGYHHf17yMiHyBHT9CT6+Bn2WgZ0nHJsHcxvCzokiwCwldXo62eHh2gd6eiisrbGfMR2FtTU8WC6ounePe7Nmlzi4zL1yFX0X58eWG9byaoyhmTn/HtxXoPzDwPK/eyxfJ7bmhqwd3YK6Vc1YuteY3PvtORi7gzYLv8P1610M++sUqdn5xTdUzqkeJM952edYArqEQSqxz1IQ/o+9846Pos7//3NmtrfsZnfTQ2hJaKEjSBNU8LCABfuJ5Ty/el/L6VfPq1/xp35t3J3eqaeCXQ/xVFQQRbGgSAfpEFpCCiG97Gb7zvz+mCQQSIAoEMo8H4/PY7Izn/nMZzbJ7L4+76ahcdKjCcsTTN2c94hVVOC5/fY2j8/dMReAy7Iv6/DYGxZ9TrjRzxdSX+45Lxu7qYPxKNEgvHsdBGvg2tlgT+7wHDTOIEL1ULxK/VkygDUJpjyvbiWDur94pVrvVG+CvpfCde/CXauh31RY+XKTwHwQGso67z5OQfxffw2iiGAyYe7bl+7z5+G48EK6z5+HuW9f1XopSdS+/jol/31nS/KVwxHKz8eUk9tqn6TT03v0OexavZyQ39/qmGA2gyie0cISINFq4IM7RjL/rtG8OuWP9HKchSV1PlNHxvh+RxWXv/ADhVWn9nsUr65GsFgQj5Aw6nigWSw1NDQ0Th00YXkCkUMhqma+jOWss7COGH7I8bgcZ+7OuYxIHUG6Lb1DY8eiUVbOm0uZJYOuvXtz08iuHZvcvk0wawKUrobLZ0Jq/46dr3Hmkf+ZmhlWb1Ytkf+9Qo3J/e8V6mt9U+bY/M9an5fYHS59XhWYeVNh5Ux4tr9azqZye+fcyylG3QcfooRCOK+8kqy330LncgGgc7nIevstnFdeCfE4+qws/N9/T8FllxNYs6bd8WJVVcSrqjD2yj3kWN9zzicei7Ft6Xet9guCgGixILcV43mGoZdE+qUnMDo7iVkX/o10eyprQ8/y3LSeVDdGuPSFH1i269S1uMVqajrFDRY0i6WGhobGqYQmLE8gte++S7yyCu9dd7Z5fHnZcsoay7gi54oOj7158VcE62tZlziYGVcOQBSPMi5SjqvZX2eOB385XDsHel/c4etrnIH8+BbEgjD4Rrj5M7A0ffG0JKqvB9+oHv/xrbbPT+yuWjjvWgODp8HG9+H5Yaor9p5lEI+qlsyy9bBjEWx4D+qK2x7rDENKTCRtxgxS/vRHBF1rl3lBpyPlT38kbcYMTH360HX2bASjgT03TKPqX/9CiR8a+xfKV2sxmprKnRxIUtfueLt0ZfPiRYccE63WM95ieTAJxgSeGf8M/qifh9bcwLhRX2F37uaGV5bx7sqizp7eTyJeXY3UCTUsAUSHA3Q64tWaxVJDQ0PjZOcnZHbR+CnIgQDVM2dhHXk2lmHD2uzzwY4PcBldjM9su7Zlu2PLcb75zxwqDB5uunIimYltFLBvi5rdMPcOKF4OvSfDxc+A1d2ha2ucwVi9cMUrqtXxYCQdTHoSMobBtk8PP05iN7jorzDuD6r1cuXLkL+g7b6iDvpfDaPvBU/2z7+HU5SMZ/5+xD4JF19EwsUXAdDtgw/YN/1hKp/9B6Ht20n/299alU4Jb1OFpTH3UIulIAj0Gz+Bb96YycczHmXs9TfjSlU9KjRh2TY5rhxe/8XrzMmfwxeFX+BPWIDdkcBDS/KYs3Ek/z3yXM7NTTv6BcBOJlZTgz41tVOuLQgCusREYjWaxVJDQ0PjZEcTlieI2tmziVdX47nzrjaPVwer+aboG67rfR2G5vi0o2Tpom+I11XS2P8Krh9+lAl78j+H929Rv6hf9jL0v0rL/qrRMa58/ch98qa2LTzbwuqB8X+AUffAhjlqYh+bV43ZtCWprrU/vgNr34B1/1ZjNkffq9ZX1f52D4tks5H29FMYunal6rnn8F98caus1OHt+eiSklpcag9mwMSLiIRCrPz4fV7/n98wYOKFnH3FtZqwPAx93H14eOTD/OGsP/BdyXfM2zWf74Tv2ckSfrv8GYxLshmTMZJbh1xAb09PpJO4DE+8pgZT3z6ddn3J7dYslhoaGhqnAJqwPAHE/Y2qtXL0aCyDB7XZZ96uecSUGFdkd8wNNhaX+WrObOIGJ3/4zZWHFHBvk7Vvwbx7ICUPrnkHEjI6dE0NjeOKwQJDb277WOoAtYTJ8udh5SzYPBdsKZA5TLWOZgxT4zsNR2m1P4MQBAHPf92Gb+FC9j32GNazz0a0qO9TaFt+m/GVzUg6HSMuv5q8cyey9L13WPf5p2z57mtyDALdDkrqo9Eak87ExK4Tmdh1Ir6Ij6WlK3hv81esrVjJVxUz+eqzmehFIzmunuS4cshx5TAoeRB93X07e+oAKIrSFGPZed4sqsVSE5YaGhoaJzuasDwB1L7zDvG6unZjKwPRAHPy5zAoaRDdnd07NPasdz/H5i/H/YsbSHfZDt9ZUdRi9l8/Cj3OhaveAuMRztHQONmweeH86TDqt7DpfTXzbMkq2DpPPS5IkNJvv9DMGKbGc2pWTQS9npTpD7Hn+l9S9eJLJN13L0okQnj3bmxjxx7xfKvTxYTb7mTQpEv47u1X2bhuDVsVGPDmLAZPmozDqxWwPxx2g50Lup3PBd3OR1EUPs/fyhNff0p5uAC/ycfixsXM3almBr+p703cPfhu9GIHs3sfY+SGBojFOi3GEkByJxIpLOy062toaGhoHB2asDzOxP1+al59Fes5YzEPGNBmnydWPkGpv5SHRj7UobH31TZStPA97CYH119/hPIkclwt67BqJuRdpSZN0XXM5VZD46TC7IRht6oNoLEKSlarIrNkFayfA6tmqcc8uXDJM5A1svPme5JgGTKEhEsvpfq110iYMhklFoNotM34yvbwZGZx+R8eZuM9d7GlcCdrP/uEtZ99Qs7wUQyYeCHpvfognsSunScDgiAwqVcfxnbL4a7ZP/L1mgpuHd2NX1/sZebGl3h98+usrVjL02OfJs2W1mnzjDW5oOrcnWmxdB9VyRwNDQ0Njc5FE5bHmap/Pke8vh5vO7GV83bNY+7OudzW/zZGpI7o0NjPv/AG7nAVI269D73hMCIxGoK5t8GWj+HsO2HCIyBqCYE1TjOsHsj9hdpAXUypzFeTUy35O7w2CYbcDBMeBlNC5861k0l64H58X3/Nvv/3CM7L1UUp02FcYdvDk+hh0IrVTJr/CT9+Po8Niz4nf9n3WJ0uep41kpzho8jo3RdR0kRme1iNOmZOG8oj87cwa0kBe2oCPHvN7xmaMpTpS6dz5bwreWTUI5zb5dxOmV+8KWmO1EnlRpqvrQQCyIFAi/u2hoaGhsbJh6YujiO+RYuoeeMNXNddhzmv3yHHC+oLeGT5IwxOGswdA+7o0Njfr9+FZeOXKOm9GHn+YbLIhurhnamqqJz4KFzwmCYqNc4MRAmS+8DQW+A3y9VFlbVvwHNn7XebPUPRud0k3XcvgRUrqHrxJQSDAUPXrh0eR2pK3uPweDnnl7fwXy++wUX3/I603N5s/nYR/3nkj7x4+zR2rFx67G/iNEISBaZP7sv0S/rw1dZyLnt+KZH6/rxz4buk29K555t7eGTZI9SETnycYXNsY2fVsYQDalnWaFZLDQ0NjZMZTWEcJyLFxez9wx8x9etH0u8fPOR4KBbi/sX3Y5SMPDX2KXTi0RuPY3GZj196EQmZ6++9p/2EPb598NpFULRMzfw6sm2rqYbGaY/Bqi6q3PqVGqM555cw8zxY9gI07O3s2XUKziuvxJSXR6SgAGN29iH1MI8G0WpFiUZRIhEADCYzvUaOZfJ9f+Q3M9/hknt/j93tYcE/ZrBv145jfQunHTeN6sYrNw4jFItz9+wfue6FnZxtns4VPa/lgx0fMOmDSfxr/b8IRAOtzqtpjPD5pjJmLMzn801lBCKxYzaneJOwlDoxeU+ztTSulRzR0NDQOKnRXGGPA3I4TOk9vwVBIP2ZvyO24aY6Y/UMttdu5/nznifZmtyh8V9//0tSq7fiGXMJqZmZbXeq2glvXwaN1XDdHOh5/k+5FQ2N04v0wfDrb2DVK/Dj27DwD7Dwj9DlbOh7GfS/Esxtl9w43RAkiZT//V8Kr7rqsBlhD4dotQIQb2xEd9BzTm8ykTNiNBm9+/HOn+7j46cf4br/+xv2RM/PnvvpzPheSZyT4+Xb7RW8vnQPzy4qwCANIq9bb2oNn/DCuhd4bcO/Ge25BkN4ED8WRsjf17rki0kvMjbbyy/6pXBer2QSLD89AVCsWhVzOpfzZ93Xz6E5vrN5LhoaGhoaJyeasDwOlD/xBKEtW8h44XkMGYeW8lhYuJA5+XO4ue/NjM04cibGA6mo9VM0/y2MZhfX/vrGtjuVroF3rgQEuGkepA/5CXehoXGaIulhxO1qq9oBmz6EzR/CZw/AVw/D4BthxB3gbGfR5jTCnNePzJkzMXbv9pPObxaWcmMA2qmBaUlwcukDf2H2Xx7g46cf4+qHn0BvMP7kOZ8JiKLAub2SObdXMjsr/Ly1rJANpfXEa6dB7Gx8znl8Kb+odnYKJLkT8JjdZDhSyLWNoa6iL19uqeaLLeWIAvRKcTC0q4shWWpLd5qPrjQVEK+uQUxIQDhcHP9xptlaGtdKjmhoaGic1GjC8hhTP28+dbPfJfFXt2A/99BkCzWhGh5d/ih5njzuGtxx19R/Pf8qCZE6ht/+IAaj6dAOtYXw9hVgdMANc8Hd4yfchYbGGYInG8Y9qLa962DZc7DiRVj5EvS7AkberZYuOY2xjR71k8/dLywbD9vPm9WNC+9+gI9nPMrCfz3LRXc/cNTC5kynZ5KNh6cc+Dc4nnD0V3xbtIzyUCF14RpqQjVUB6spaChgWdkTpFhT+O8p08i2ns+yHT7W7KnlgzUlvLlsDwDdPFZuGdWVqUMyMRsOn1gpVluDrp1FgxOFLlG9fnOGWg0NDQ2NkxNNWB5Dghs3UfbQQ5iHDCHpt79ts89Tq57CH/XzyKhHOlyfbPGKDRg3fU28Sz9Gjx9zaIdIQI0dU2RNVGpodJS0gXDFLDjvf2H5v2DNG7BhjlrzddQ90O0crRbmQRytsAToOXQ4o6+ZxpLZb+DJ6MKIK6453tM7bTHqJS7oMRoY3Wq/oih8X/o9r2x8hadWP4XT+DLX9LqGJ8++lGTzMPLLVZH54dpS/vLxZv6+aAc3jMhi2tlZuG1GfKEo28t9bC3zsaPcRyQuc0F+MaJg4r0FWzEbJM7vnUy/9BObVVm0WBAsFuKaK6yGhobGSY0mLI8RgdWrKf6v29G5XKT/7a8I+kNF4/cl3/Pp7k+5Y8Ad9HB2TPSt/epLls96nrhk4Mbf3nNoB0WBeffAvk1w3XuaqNTQ+Kk4u8AvHoexD8DqV2HFS/DmFEjprwrMPpdCPALBWrWF6iAWBkFUM9EKIog6SO4HRltn381xpSPCEuCsKVOpKSnih/feZsfKZWT1H0hW3iDSe/U5JEZTo+MIgsDYjLGMzRjLuop1vLLpFV5c/yIvrn+RwUmDuaj7RUwZfAE3jMhiVWEtL3+3i2e/2sFL3+3CYzNSUhtsGctm1GHSS5xbXU2JPYnXlxYSics8s2gHfdMcXDMsk8kD00kw//T4zY6gS0xsyVCroaGhoXFyIiiK0tlzOCJDhw5VVq9e3dnTaBf/999Tctfd6NPS6PLaq+iTD03GE4gGuOzjyzDpTPznkv9gkI7uS1Q0Euab119m41cLKTWlcsX//J5R/dsQjcteUBORnPtn9QuxhobGsSEagg3vwtJ/QvVOVTgq8pHPMybAkGlw1m2qWD0NCeXnUzDlUtKfeQbHLy44qnNikQhrP/uEgh9Xs3f7NuR4DJ3eQGbfPAZMvIjug4YiaCWRjhml/lIW7F7AvN3zKKgvQCfq6J3Ym6gcJRgL4g8HaAgHEDHjNabTNaEr/ZJ6MiC5J3nePMrHTcJ+wURSp0+nPhDl4/WlvLuymC1lDRh1Iuf3SWZEt0QGdXGRm2JHL7X9uwtEYvxYVMeKghpWFdSwrriOUCzeqo9JJzG+l5fJA9IZl+vFpN/vpltw9dVIVhtdXn3luL5fGhoaGiczgiCsURRlaGfPoz00YfkzaVj4BaX334+xZ0+6zJrZkr3uYJ5c+SRvb32bNye9yaCkQUc1dm1ZKfP+/gSVewpYnTCI4VOv57cTex3aseA7ePNSyJ0EV72l1alsQlEU5v9zPRVFPpxJFpzJZpzJFlzJVjL7JKI3akXbNTqALMP2z6B4JZidavZYU9NWZwIlrgpOOQ7RgOpGu+UT9dzel8Dw2yFjGEinj6NIpKSEXedPIPWxx3BecXnHzw8FKdm6iT0b1rF9+RL8NdW4UtMYNGkyfc85D4PJfBxmfWaiKApba7Yyf/d8dtTuwKQzYZbMmHQmjJKRhkgDhQ2F7GnYQ2NUtUCLMvz7qRi7Lh1M4p13MDhpMBa9BYBNpfW8u6qIhZvLqfSFATDpZbpnVmCzNhCPmYnFTIQjZkIhAyWVemKygChA71QHQ7Nch1g7qxojLNy0j+rGCHajjgv6pXBx/1RGdHdTefddRMvK6P7R3BP7xmloaGicRGjC8hhwsgrLuo8+ouyPf8Lcvz+ZL7+E5HC02W9j5UauX3A9V+VexZ9H/Pmoxi7dtoUPn5gOosh85zgScgYw+7YRSOJBMV51xfDyOWBxqzX6TG3P4UykYEMVC17YQJc+icSiMnUVAQL1ar09m8vImKtz6D7Q28mz1DitqSuGVTNhzesQqlcFqLeX6iab3BdSB0DmWWqm2lOQWG0tO84eSfIf/0jitBt+1ljxWIwdK35gzYKP2bdzO0aLlezho/BmdcWTmYU7owuWBKeW9Oc4oygK1aFqdtftZsOO7xl12yxen6hnwRAFnaCjV2IvBiYNZFDSIAYmDcSmtzFvx7fM3/kFm+uWE1Xados2CnYGeUZxae5Ezs0ajVnX9qJBLC6zdFc1n6zfy8JN+/CFY5j1EtPzP6JX0Ubcn31JutNMKCrjC0VpCMXwh2NYDBIemxGnWY948OekhoaGxmmCJiyPASejsAzl51Nw2eVYhp9F5nPPtcQaHUxUjnL1/KupD9fz8ZSPsRmOHHNVsm0zHz4+HasrkYUZk9nm1/HZb8eS7jzog7iuGN6cDI1V8Ouv1QyXGgAossKcx1YRjcS5bvpwpCb3rEgoRvnuBn74YAfVpY107e9hzNXZONwds4xEw3Fq9zVSU9ZILBxH1ImIkoAoCej0Ell93Uh6zXKs0USkEbZ9CmXroXyz2hor1GNmF+RMUq2aPcaD/tSx0smRCPn9B+D97T14br/9mI27d/s21i74mD0b1xHy+1r2m+wOkrv1IDU7l7TsXqRk52K22QEI+f3U7dtLXXkZvppqJJ0evdGI3mhEZzRhT3ST1K2HJkw7QGj7dgomT8E74wm2D/ayat8qfqz4kU1VmwjHVSulTtARU2IkGBMYlzGO87qcR6/EXjREGmiINFAfrqcmVMOa8jV8X/I9vqgPk2RieOpw3ObWHj4xOYYv4qM+XE9DpIG6cD2CYsDLKIZ9uJcLNnzHJZOfRK8Ticbb/u4iiQKJVgMpDhPn907myqEZpB382amhoaFxinKyC8vTxyfrBKIoCuX/9ziS3U7GM8+0KyoBXlr/Ejtqd/CP8f84elH5fw9hS3RTOfYWVq6s4oXr+x8qKqt3qQlFQg3wyw81UXkQO9dWUF3q5/yb+7SISgCDSUdmn0SuzB3G+q+KWTW/gNkPr2DQxCwknUB9ZZD6iiANVUGC/igmiw6TzYDJpsds1xOLyNTs9dNQHYLDrMkMn9KdoZO6Hv8b1Tg1MFih/1Vqa8ZfCcXLVcGZ/yms/zforZB3BUx87JTwPhANBtDrjzp5z9GSltOLtJxeKIpCoL6OquI9VBfvoap4D/t272TFh++hNMW5JiQlEw4EWgnQ9rB7vOSePYbcs8eQ3L1nK5GpKArhxkbqysuoLSttantpqKokMS2d1OxcUrN74c7IRBTPDDf65rqRZm8qI9POYmTaSACi8SjbarbxY8WPVAWrGJU+iiHJQ9CJ+79SpJLaaqyrcq8iKkdZU76Gb4q+YenepWyt2dqqjyiIOAwOHAYHWY4s+hsTKPWVsmLfe3T3gk6RufVsH4q+F5LBhyI1IAv1xAQfGaY8dPE0qvxhqnwRCqob+fui7Tzz1XbGZnu5elgm5/dOxqDTFvw0NDQ0jheasPwJ+BYtIrBiBcl/+TNSQvtp15eULuHlDS8zpccUxncZf8RxS7Zu4sPHp2Nzu/Gf+2v+9UM51wzL5MK81h/QVGxTRaUchZvmqe50Gi3IcZmV8wpITLOSPezQREoAkiQyeGIWPYck8f2cHayaXwCA2WHA6TWTkevCZDcQDkQJ+qKE/FGqiv0IokBSloNeZ6eSmGolMc2KwaxDjivIcRk5rrB4dj6bFpcyaGKXVqJWQ6MVNq9qpex9CcSjUPg9bP4IfnxbjZue+hqkD+7sWR4RyWI55sKyGUEQsDpdWJ0usvIGtuyPhIKU795J2Y58ygt2YbbZcCankpCSiis5FZvbgxyPE4uEiYbCxCJhqor3sH35EtYu+ITV8z4kITmFxLQMAvV1NNbXEayvIx6LHXhxErxJ2BLd7Fy1nE3ffAmAwWzGm9UNs92B0WLFYLFgtNhweLxk9u2PMznluLwXnUGsqbyHzp3Yar9e0pPnzSPPm9eh8fSinhGpIxiROqJD5xXUF7C07klYtJjvdj9GmftQq7MoiEzNnsqd59yJy6TWvSyuCfCf1cW8t7qE37yzFrfVwC9HZHHD2Vl4bMYOzUFDQ0ND48horrAdRI5E2H3RxYgmI93mzkXQta3Ny/xlXDX/KpIsSbx94dvtxpM0U7JlEx8+MR1rooe1fa/h012NXDYonccvz2uVGY+y9fDWZSDqYdrHkNRGMp8znK1L9/L1m9uY9F95dB90dDGUDdVBTFY9BtPPX2sp3FDFpy9sYOKtfcke2raw1dBol6Ll8P6vwF8OEx6GEb85qetn7jz3PCzDhpL25JOdPZWjIuT3s3PVMvKXLyFQV4fF6cSa4MTS1BKSknGlpuNMTm0pgaIoCnX79lK2I5+9O/KpKiokHGgk3NhIONBIJBhoGd/hTaZLv/506duf1JzeJHiT2sxyGwkFKduRT01pMa6UNJK698TiOLH1IY9EzVtvU/7YY2Qv/QFdYuKRTziONC5dStEtv6LkyTso6m4lyZKEx+whyZKERWfhzS1vMnvbbCx6C78Z8Buu7nV1S63ouKzw3Y5K3lq2h6+3VWDQiVwxOJ1fje5GzyR7p96XhoaGRkfQXGFPM2reeINocTGZr8xqV1RG41HuX3w/UTnK38b97bCiMhwIsOz9f/Pj5/OwepKZm3oJW3Y38ueLevOr0d32u2r5K9WSB989DUaHKiq1WpWHEI/KrJpfSFKWnW4DPUd9XkdjLA9HVj83Dq+Zjd+WaMJSo+N0GQG3fw+f3AUL/6haLyc8AondTsokP6LVSvw4WSyPByabjX7jJ9Bv/ISjPkcQBFyp6bhS0+kz9txDjiuyTM3eUoo2r6d40wZ2rlzWYuHUm8x4umTh7dKVxLRM6srL2Ju/lco9BS3uvM3YPV6Su/Uks08/8s7/BXpD51rVYjXVIIqH9cw5UUhNGdeHm3oxIW/iIccfPOtBpuZM5cmVT/Lkqid5b/t7TO4xmVFpo8hNzGV8bhLjc5PYWeHnlSUFfLi2hNkrixnZw825vZI4J8dLzyRbmzG4/nAMo05st5SKhoaGhoaKJiw7QKyykuoXX8I2fjy2UaPa7ffXNX9lQ9UG/jbub2Q5strsoygK25Z8y+J3XqOxrhbvkLE815BDOKTnzVsGMzrbo5Yt2Pk1rH0D8j8DOQZdzobLXz5t6+IdjKIoKLKCooB0FLExW37Yi68mxLjrczstSYcgCuSdk84P7++kssiHt4u2Iq7RQSyJcPXbsHImfPEn2P45iDpwdQN3T3VRyWhX90l61YNBZwR7CjjSwJGhZoo+AaWHRKv1uLnCnioIoog7IxN3RiaDLrgYRZap2FNA+e6dVBUVUllUwPZlSwg1+tEbTaRm5zD88qtIz+mNOzOL2rJSynfvVFvBTnauWsaaBR8z9vpbyBkxqtOeZfHqGiSXC0Hq/JjSZotpvKa63T49nD14acJLLC5ZzAvrXuDZtc/y7NpncZvcjEwbybCUYSRZkvjlOU5uGN2HBesa+HxTDY9+upVHP91KaoKJc3K82E06imuCFNcGKK4J0BBSXaSdFj0emxGPTU0OdHYPN+Nyk0h2mE7Ie6ChoaFxsqMJyw5Q8eyzyJEIyQ/+rt0+nxd+zjtb3+GGPjcwIavtFfHq0mIWzXyekq2bSO6eTd9p9/CrBRV0c1uZOW0oXYx+WPw0rHkNGkrVL4jDb4dBN5w2rq+KolCytZZ1i4qoLvUjywqyrKDElVY/H+ipbXUacadZcaVZ1fjGVCsWhwGLw4DOIBGNxFm9oJC0bCeZfTrXbav3yFRWzCtgwzfFnHdjn06di8YpiiDA8Nug53mqe2z1zv1t9zcQCx3+fAbP2eYAACAASURBVMkArq7QbSx0Hw/dxoDp2FueRKuVuO/IiXPOJARRJLlbD5K77fcqaU5EZLY7EA8Sana3hy799sfKF23awLdvvMz8Z54go08/xt94G0ldu5+w+TcTq6nudBfYZiSnE4BYdc1h+wmCwLjMcYzLHEdVsIqle5eypHQJS0qXMG/3vEP6W5It9MlKQlKcBAI2Pi02EY048Ji8pNlTmZSRRpbLSyQutyQGqvKHWbqrmo/W7QXUupzjc72MyfaSl5GAzah9tdLQ0DixCILgB84G3mra1QWob2pViqKcf5hz3wUGAVFgOXC7oigxQRB+D1zT1E0P5AJuRVHq2x1Li7FsGyUSAZ2uJTYmtGULBVdMJfHGG0n+/YOH9JcVmU93f8qjyx8lx5XDq794tSW+40DqK/bx7z/fjxyPM+baG0k9ayxTnl+GAHx2hRHHhtdgy8dqYp7u42DIzZB7IegMx/eGTxDxuMzO1RWsW1REVbEfi8NAVj+3Wq5DFBBFAUFSt6IkIIgCogiKAvUVQWrK1BIf8WhrFzK9UUJvlAg0RLjs/sGk9XR20h3uZ/HsfLb8sJcb/28UFsfp8fvTOImQZfU5EY+q22gQfPugYW9TK4WKLVD4A0QbQZAgfQjkTIS8K1XReQwoufsewrt20ePT+cdkvJ+LHAzSsGABCZdeelJY2n4qcjzOxq8XsmTO24T9froNHkpS1x54u2ThzszClZJ2iEA91hReex2C0UjW668d1+scLduHj8Bx0YWk/O//dvhcWZEp9hVTG6qlJlRDXbiO2lAtVcEqygPlamsspzJYiXyQi7JBNKATdSgoxOU4MjJ6Uc9Q71jc8li27fGwdk8dcVlBEKC7x0peegL90hPIclsx6kQMOhGjTsSok0hJMJFo1T4TNDQ0Ok57MZaCIPgVRbEd8Pp1YL6iKO8fxZgXAp8BAjAH+EJRlJkH9bkMuENRlENjEQ5AW1Y7CEVR2Pfww9S9O0fdIUkIOh2KLCM5nXh+c8ch/ZeULuGZtc+wvXY7fdx9ePqcp9sUlUG/jw8en44ci3HNI0+TkJLOtFdXktBYwAdp72D591owJsCwW2HYr06bEiKRYIy9O+vYu6OOHavL8deEcaVYGH9DL3LPSulwvUdZVmioClJXHiDQECHoi6jbhggJSZaTQlQC5I3LYNPiUrYs2cvQC7t29nQ0TjdEEUSj6gILaj1MR9qhmWRjEShZpVo5d30DXz+qtswRavmTvpeprrfNfSN+CDeo4rSuGOqL1G1jlep2q2u6pmQEixsxVovsa1BXf06CJEP+xd9R9ic1Y7f9/HYXaE96REliwIQLyT17LMvnzmH32lUUrF3dEpcp6fW407vgyeyCp0tXPF264s7ogtXpQmon/r+jxGtqMPU9eTwuJLf7iBbL9hAFkSxHVrvhKc3E5BjVwepWYrM8UE5MjiEJEqIgIgoiteFavij8An90Id2Tu/P7EZfhFUdQuE9k094Glu+uabFotkWi1UAPr5WeSTZyku1cPiiDBMvJF0OtoaFx+qMoyoLmHwVBWAlktNHtWmD2kcbSLJYHUfvuHPZNn47jkkswZGWhxKIo0SjEYjguvBDzANVdKSbHWFexjhfWv8CqfavItGdy96C7mdh1IqJwqFCKRaN88NhfKNuxjal/fpSM3v14/NMtBJe+yEPGd5GMVjj3zzDgGrXm3SmEoigEGiIE6iME/RFCfrVEh682RNmOOiqLfCgKiJJAWraTAedmktXPjSB2/pfQ480n/1hHTamfG/5vpFZ6ROPkoK4INr4PG+ZA5TY1PtNoVwVlPNL2ORYP2JLVOO9YSO0XC0Gonn2rbdQXWsidJkPaQLWfIqtNjgOKaintcyk4Utse/xhS+5//sO8v/4v9ggvIePaZ4369E0k0EqampJiqppqeVUWFVBUV4q9tLbb0JjMmmw2TzY7JYkVvMqEzmtAbjOiMRqxOJxm9+5HaM7cl820zsWiUfbu2U7Z9GyXPP4/YvSu63r2JhIJEQyEUWUaWZRRFRpFlRElHQlIyzuRUXCmpOFPSsHu8mO2OYyZwm9nzyxsAyHr7rSP0PDEEogEWFi7k/R3vs6FyAwAmyYTX4sVr9uLQu7FKHpJMGSQa0nEZ0jHgoLQuxK5KPzsr1FYbiJLuNPPP6wYxuIurk+9KQ0PjZOanWiwFQZCAFYfLKCsIggFYiWqZXHbAfhtQBHQ7nBssaMKyFcGNm9hz3XVYRowg86UXW6WIrw3VsrZ8Leur1rOhcgNbqrcQjAVJNCVy+4DbmZo9FX07GRsVWebTf84gf+l3XHT3A/QadQ6LVqzDMP9OxkoboecEmPKcmnjjJEeOy/hrw1SV+Kks8lGxx0dlUQNBX/SQvqJOILmrg/QcF+k5TpK7J6A3nLquaT+Fwo1VfPq8VnpE4yREUWDfRtj8IYR9YLCB0da0tYM9VU0S5kgHg6XtMSKNVDw+nep3P6XXY2MQ9m2AYB0IotpEEeIxaCgBBMgaqVpI+0wBW9Jxua3q116n4sknEQwGsn9YgmQ//ZNnBf0+qov2UF1aRKChnnCjn5DfT9DvI9zoJxoOEw2HiYXDRCNhQn4fKAqSXk9qdi6ZffKQ4zKl2zZTtjOfeFR9nouyjMFowpToRm82ozeakCQJQRQQRAlBEIhFI9SXl+OrrjxkXkaLFbPDgdnuQG80Iep0SDodoiQh6fQYTOamOqBWjBYLVlciPYachaRr+7O05J7fEt6xgx4LPj2u7+dPIb8mn+Vly6kMVFIRrKAyUEllsJIyfxkRef+CjU1va7GcdnV0JcuRRTCYyN8WlFNeK3H/Bb25bUx3xDNg4VVD40QhSRJ5efvr7n700UcUFhYyZcoUunfvTjAY5OKLL2bGjBlHHOuWW25h/vz5JCUlsWnTpkOOz5gxgwceeIDKyko8nqOvTnC0HA9X2APOeRWoURTl/oP2Xw9MVRTlsiONobnCNhGrraX0nnuQvB7SnnoSQRSJy3GW7l3K3J1z+aboG2JKDJ2oo3diby7Pvpz+nv6ck3kOVv3hLYxL3n2T/KXfMebaG+nV3cXeBU8ydMU/MEtRYr94Gt3wX58ULmTNRIIx6quCNFQFqa8M0lAVoqEyQH1VCH91CFlWFyMEAVypVrL6uvF0sWNPNGG26THZ9JjtBoxm3RlhlTwcWX3V0iPrFhUjCAL1lQHqK4PUVwQJ+iJqkqKmrLeKrJCQZCZ3eAo9Bicdk5qaGhrtIgiQ2l9tPxWDFTE1B5T5KJOeQTC3U7anMh82z4VNH8KC+9Xm6grJ/SC5r9pSB4Lr8G6KR0NzhlolEsH35SKclx/xc/CUx2yzk9GnHxl9+h1V/5DfT2n+Zoo3b6R4y0aWfzAHBEju1oOBEy8ivXdfkl0eSi+eTMrDD+O6+qojjhmLRKivKKeufC++6mqCvnqCDQ0EGuoJ+hqIhcPIwQDxeBw5FkOOx4gEg4QbG4lF9wuvhKRkRl19A71Gjj2k/qfOnUhgeftZYTuT3MRcchNzD9kfl+PsC+xjT/0eChoK2NOwhz0Ne1hfuZ7PCj5DoWlxPwksSRL/3GHjtYJE+qemY9EbWlxvJUHCqDPiNXtbLKJei5fuCd2xG07/xRON04PCwkIuvvjiVoJs+vTp2Gw27r//fm666SYuvvhipk6dSk1NDeeddx533303N998c5vjSZJEamoqlZWVRCIR/vznP/PII48wf/58/vKXv1BcXExDQwOKovDqq68yePD+UJHCwkLGjBnD/PnzCQaDeL1eXnzxRcaNG8f8+ftzBvzqV79i9erVKIpCTk4Ot956K3feeSfTpk07ZD7FxcV8+eWXdOly6lVuEAThESABuLWNw9ewPynQYdG+uQKxWJSi+/+HaGUl8Rf+HysDW/lxz4/M3TGX8kA5LqOL63pfx4SsCfR298YoHV1tsUB9HUtnv8L6b74hO12k74Z7YZ2PNGCDmEvaja/i6Xp0XwSOlkgoRl15gHhUxmjVY7LqMVp0SDqRSDBGXUWAunK11VcFiQRiREJxomG1hfxRQo2trY9Gq44Ej5mkLDs9hySR4DWTmGrFnWE74yyQHUUQBfqPy2DJf3awcKb6IDU7DCR4zCSmWdVkRc0NKNtVz9dvbuO72dvpPshL7ogUbE4TkXBM/R2F4sSjMlaXkQSvGYvDcFSlCBRFobEujMGkw2DW/u01jh2iVbVmyo2NiO0JS28ujPs9nPMgVGyF/AVQvgnKN6s/NydLSeoDvS+BXhdDSt5PWnCTGxsRTCZ0SUk0zJ93qLCUZSjfqNYHDfubyrOkN23T1DrBJ6BMS2distnoMWQ4PYYMB9R6yoIoYDDt//0FN28GVDF3NOgMhpaSKx0lFo0SCTSyb9cOlrz7Jgv+OYNV8z5k7LU3kjVgcMszTkp0E6+vR4lGEfSnRjyiJEqk29JJt6UzMn1kq2OhWIhiXzFFDUWUB9TEQSuKClm/t4jlRYUkmEWsRhGjXkRRZALRANWhauJKvGUMnaBjaMpQxmeOZ3zmeFJtx9/dXEPjeFNfX88FF1zAbbfd1q6oBDCbzcybNw+Xy8W4ceO45557iEaj3HbbbTzxxBPMnj2buXPn4nQ6ueOOO1ixYkW74wwbNoyzzjqLzU3Pvmb+/ve/43A4ALjvvvtYt24d11xzTVvDcO+99/LUU08xZcqUw97f+uI6Plm/l7isICtqi8vqdzV1Hy37BVATWgoC0nEyQgmCcDswDpigHFRgWRAEFzASOPIKI6eIsJT9fhRF+dm1vOI+H6GtWxEsZgp0tSxp3Mh35UvJ+Wg9V/0QZ+YFIl/u/gvsBgGBkekj+d2w3zE+c3y7bq5tEQkFWfPBm6xcMJ94TGagq4yuVj8L4sOo856Fq894xg4diOcoa1/JsoKvOkRdRQBfdYh4VEaOK8iyug01RqndF6C2rBF/bbjNMXR6kdiBmVQFsLmMmKx69EYJi8OA3iRhNOtweMw4PGYSvGYcHhNGLaHAzyJvXDrOFAsWh4EEr/mwlkhFUSgvaGDbsjJ2rqlg+8ryw46tM0okeMzY3aq12Ni0kGCy6olF4moW3b2N1JY1EgnFEUSBpCw7Gbku0nu5SO2egE5bHND4GYhW1WNDbmyEI7n9CAIk91FbM9GgGutZtBy2zofvnobFT4IzS3WdNbvA5ASzUy2XYmraNr822iFQ05IJV961HNEACf2cVH22nOiX/0SfnAKhOlVMFn4PwdrmCQFthIPozKA3g96ijp86ALLOhqxRah3Rk8jD5FhgtBzq6hyvUd8j6QSUG9Hp9egSnHQfPIxuA4ew7YfFLJnzNh88/hDJ3bNJ6ZGNJzMLgxIlKonE6+rQeb1tjqXIMo31dTTW1WJ3e7A4jn2JnWOFSWci25VNtuuARH2DYdu+Bv76xXa+21ZJSUzGZdEzoU8y43onkZ1sIcEapSZcRUWggtXlq/mm6BseX/k4j698nN6Jvenu7I7L6CLBmKBuTerWaXSqzeQ86gXyjiDH401u1yEEQcDscCCK2ufLmUyzC2o0GkWn03HJJZe0HPv222+ZMmUKZrMZURR5++23SUpKwu/3M2nSJK677jruuKN1wszp06czc+ZMvE3///F4nEGDBrXq4/P5iMViLF68mGnTpmEymYhGo6xfv56+ffuSk5PD3LlzW51TW1tLQ0MDw4cPZ/PmzaxevZoXX3yRWbNmtYhKRVEIBoPtapFPPvmE9PR0BgwY0ObxZioaQtz42koC4TgmvVoRQRIEBEFAEkEUVBEpNv2sNItMWSH+M8IX24uxbNr/HFAILG+6v/8oivJYU5crgM8URQkezXVOCWEZKdxD0c23kPy7BzD1OfoMdbHaWgIrVxFYvYraFUtRdhYgNLlxisBoYIhNh6UxTvU5/Rh31y+ZbEzAYXCQYc8gydKxGCB/bQ35X3/Cso8+JByR6WGvJuhJYfOQxzEPGsLkri6MukMfsoqi4K8N01AVxF8bprEujL82jL82RF1FkPrKAHKs/T8mnUHElWIlLduJK8WKK9WC3iARDsQINUYJB2KEA1FMNj2uZCsJyapo1Om1B/6JQJREsvq6j6qvIAikdE8gpXsCo6/KpnhrLbFwHL1JLadiMOkQdYL699LkUltfGcBXHaSyyEe4MdpqAcFk0+NOs5I7PAVXqpVAQ4SSbbWs/aKINZ/vQdQJWB1GjFYdRosek3W/RfNAF12DSUdajpPMXomYbNpCg8Z+WgnLn4LeDGmD1DbiDjX7bP4C2DpPFYKhejWx0FEiFzqRFCMOvqRKSabh1cdx5zbNLSETci9Sa3t2GwNW7wElWkrVbdinlmeJBtUWrIVdX8GGd9UxrF7IOEu1wnpymlrP41IjtDOJ16gupye6jqUgivQeM57sEaPZsOgzti39jq1LviUSDKgd+nVj8f/cjsnuwGSzY7bZMFpshAN+Gior8VVXEo/FWsYz2R240zNITM/ElZKG2ZGgJjWy2TBZbaAoNFRVNrUKfFWVWBKcZOUNJKNPv1ZW3BNFrxQHM6cNJRCJsTi/ks837+Ozjft4b3UJAAadSE+vmk327B5TmXPR3ZQHi/m2+Fu+K/mOdRXrqA/X44+2/39j1pn3i0+TurXoLMiKTFyJIysy+xqCBCMxBFFGFEAQFCRRoLszk8Ep/ci29aBq8Ro2fPk54cZG5His1TVEScLqSsSe6MHm9mC0WFB9c9pHEAWszkQc3iTsbi8ObxJWlwvxIC8CUZQOcZXWOPkwm82sW7cOgIqKCi677DIqKipajo8ZM4ahQ4e2coW97777uPXWW7n33ntbjTVw4EAuvfRS7r33Xu6/Xw0BlCSJgQMHArB3717mzp3Lr3/9ayZPnsxbb73Fnj17kGUZs9nM8OHDufDCC6mv35975vvvv6d///7k5+fz+9//nsSm593QoUOZNWtWS7+bb76ZBQsW0KdPH/7617+2ugeAQCDAY489xhdffHHY90NRFH73wQZC0Tif/XYMPby2w/ZvC+FP7Y5tO+j1TQe9jgOHxGY27W9XDyqKMguY1d7xgzklhGWtU6J642oar7gC37lDcNx9B57MHPY27qXUV8rexr2U+EoIxALo0ZGRX0PPxbtJ+7EEMa4Q1sH2dIFtI6EsK4G+CTnkiZl0izpJrGtENBnpdc89iG2s2rZHJBjAV1VJ2YallKxbTvHuPTT41YdqmrkBuXsyofP+ysWjh2E36VEURXVFrQkT8keprwxSWeyjqthPVYmPcGPrB7LBrMPmMuJMMtO1nxtnigVnkgWHx4ROLyFKQksTROFnW3M1Tj50eolu/du2ALnT2n8YxSJxwoEYgii0WT9z+GTVZXrvjjrKdtbRWB8h3Bgl1BijZm8j4WAMAVr+rgQRgv4om74rBQG8mXYye7tIy3bhybRhTTj2K98apw7SzxWWB2P1wOBpamsmHoVQg2p1DNWpCYJC9erPYd/+UiuODOIlTyPa6jDOeA9T4VQaQgruO58GyaAmIzr4WenMVNvhUBSo3gV7foCiZVCyGnYsVLPkNmNLBne2WibKk60KTotbLdEi6tWtZFDdbk+BL8TNZT0k99Etih1rdHo9gydNZvCkyeria001pV8vYtc/nsFw0YXEHXaCfh8hvx9/aTFGi4Xk7j3JHj4Su8eLNcFJQ1UlNXtLqCktZsfKZYR8DYe9pijpsLvdNNbWsnbBx4iSjrScXnTpNwBJryfU6Cfk9xHy+4gEgxjNFswOByabA7PdrgrdZsFrt2NqSlp05I9noc0MuhaDjkl5qUzKSyUSk9lS1sD2ch87yn1sL/e3lDR59NOtXDE4g+uHT+XmfvvdBqPxKHXhulatNlS7/3Vo//6ihiJC8RCiIBKNgS8UJxIDFAEFARSRZgv/mvJlrPr+I4ZtdWEL6ShLBr/XRBQLgbiBQNwIcSPOqJ4kQcRZE8K0bytiLNLiH6CggAKyon7ZlpGRFQVkGWOsbc+rA3GlpjH5f/6EJ/PQuOxoPMqeBjWm1SgZcZvcuM1u3CZ3h7zPOgObzYbf76ewsJDevXuTm7s/bve+++5rM66vmXA4zLRp01izZg1ut5s5c+bQtWvXEzDroyMpKYknnniC8ePHc3Di0AO/w5577rl8/PHH3H///SQl7TfwrFu3junTp7c670Dh2rVrVy67TA19mDVrFvn5+fTu3ZsZM2YQDqt/U+PGjWPIkCEt5zfHWG7fvp3Ro0eTmdn2Z8Frr71GPB7nrrvuYs6cOYwfP77V8V27dlFQUNBirSwpKWHw4MGsXLmSlJT9iTnfWVHEt/mVPDy5708SlacCp4SwlJ12/va7ngz4bCcXfLuG8OJbeae/QGWCgN8EfjOIDge5ZSLDVzbgqY3hNwt8MUxP0ZB03APPon/aYG70DqCLvUuHRFjQ10DRpvXs2biO2r2l+GuqaKytJhrZH4doEGVcJgGDK4GooydCz1+QZksksD3CZyvX0VinisnmpDfNSHoRd5qVHoOT8GbYSEi2YHMasTqNWuIWjZ+MziAd0b3VYNLRNc9D17yjy1gmx2Uq9vgo3lpD8dYa1n1ZzNqFRYAaM+rNtOHJsJOYaiEhyYLDY8Zs12sLHmcAzRbL+LESlm0h6cHqVtsRkENhRJsNRAnH5ClUPPEkYZ8OY7efkRhIEFSrpKcnDLlR3RePQm0hVO2Aqu1QvUP9ectHB7jatoHFAz3GQ4/zoMe5YG/KFh0JQH0J1BdDoI0ENZFGdf+BTTI0uQm7mprzoK1LrY18NP+HRrv6PjcRr6lG0OvV97KTEQQBu9tDtyHDUSrrSes7mIRLLu7wOOFAY5Mw3J8xV1EUHB4vDk8SVqcLQRSJRSKU5m9hz8Z17NnwI0vf/7eaRVena7J22tGbTPiqKgn6Ggj5/RwUltRhdEYjZrsDiyMBs92B1enClZaBJzMLT2YXHJ4kBmY66ZtspqFCoXafj7qkBgrKqtlYUk/+guX86VOFdKcJj1FBioYQI0HESAAhGsYgCRj1Ega9hEkUSRUE0gQBQTAiCKkgpNIYkSmpC+ELxTDoJTJcFpK8iRgTveidHqQEN2EkCr74kFjJDvx2G4tybRQ5a9EZ/Ig6P3HBh8IB74UiIMRdRMNulLgBQQojiCEEKQhiCEEKIQjxVu+FGAdrSIctqMMalDCHJUAAWY+i6NALRnKLy5j1+zvZMDiR+tQEDKIRRfLhk4upDpe2ikM9kARjAsmWZDymFNzGZBL0XpxGD8l2GwkmEwbJgF7Uo5f0GEQDOlG3f5+ob/nZIKnH2iovB015DSJx6gIRIjEZu0mP3aTD1AFPsR49erSIpqPhlVdeweVysXPnTt59910efPBB5syZc1TnKopCcPVqQlu2YMzthalfX6Sj+N+P19cTWLOG4I/riJbvI15VTaxabXJ9PXIwyNa8/QnizPE4cjzOkj592BMKs7hoD0u//BKLw8Fbb75Jj549ufbaa9m8eTMTJkxgyZIl2A/K7P3cc8/x5ptvMnTo0Ja5R8MhZDlO7b6ylkysffr0YeTIkTz00EN4vV5KSkpIS0tr8z5ycnL4wx/+wOzZszG3kytAkiSuvvpqnn766UOEZV5eXisrZteuXVm9enWrrLAFVY089ulWxmR7uGHEz09Ud7JySqiXdFs6b189l+iVUYq2raL22eeY8MMGxNiBD446ACzDhuG8+mrsE85nmLFtS0o0EiZQV0egKQ4j6PcRj8WRY3HiMRk5plBfWc7e/A1UlxaCoqDT67GZzCgxCaPUBcwpINgRdMkIYiL1zR/cDRBeG8JvqcDmMmFzGfFm2jDZDfszptoM2BKNuJItiFptQ41TAFESW1x0h13UjUgoRmVRk8W92EdliZ+SrUWtFk/0JgmHx4zecKCFXUSUBKTm1zr1tU4nYjDrMFh0GM2qO27L1qJuDWadGm/QvOatNEXHNa14t96nuvE2I4gCkk5A0oma2D3G/GxX2GOM3BhA37RC7Jh0IRVPPkXDvPl4777r2F5I0u+3TnJh62ON1arQDNaBHFVFqBxTXXqLlsOur2Hjf9S+iT1Uy2tbYrItDDawJKrW0HgMQhtVIdsBd+G2EdQSMwkZ4MwktqkMyWZE2L5QtegmZKjuvooCsbAqdCM+iEVAbwK9VXVr1plUi6yiNN13VK17Go+1fi9ajh3wWpH3x8+aXeq9HvD/2pxIqNlNt6OoZU2sJBwhykVnMJCVN5CsvIFw3U1EggEEUURnMLb5/FBkmXAgQNDfQMjn27/1+YhFjmx9U2SZUKCRYFMG3aCvgariPWxe/FVLH73RhNFiOaRmKahpHFv82+ogKuoJiyZCkpGQaCQsmFAQaLI9YjUImPUi8aaapPF4FFmWicRkjDqBrl4bXrsRQZHxlxWzd8Pq1u7FVhvn3HIH/c//BaLUWijJikx9uJ6yxjKKGopaMuHurisgGAti19uxG1KwG2w4jHYcBgc2g61pvx2r3kpMiRGJR4jEI4TjYRojAYrqqymuq6a8sYaaYD270vyc86PMoJVVrM4tZnOWD0W2IIeTiYfHIIeTsYmp6CSFmOAjLjQQFxqoFhuo1tUh6Lcj6lcgSEf+/Rz+lyeCokNAB0j/v707D5OkqtM9/v1FRC5VWVsv0N30yibK0gg2KCDOILK4DMwojrggLgwXr4o64wbcRa+K2yAXBmWGbWBmuOLKCIos7ne8AvYAsi8NNE1DN91d9FK5Z0ac+0dEVmU3VfSSVRXV3e/nefLJiMjIjJOnoirrzXPiHLwoT1SfTb20F43KXKLqXFyYw8utw8utItP1Apmu1XheiOd68aNe/LAXnz5810u10eSkS26kOVhixWCJ91/8M/rCIQqNIfK1TeTCGl5/hrAvotpb4cX8i1SyZXq7evnptTdx4tkncsk9l1BfVOfm227m737zd5QaJYYaQ8Ofk4bR6pHsRXDAAxt53a9XM3fFyN9wZzA4w6vzKQAAIABJREFUq4tV8wtsmJknzHiEGZ8wMCLfY8GaiPnLNtHzzCDmHAQBwZ57EsycQWavvehavBh/oB87/3xmJIPvhFFEV7OBnX8+dx18IIVcjle6Js+vG+S/L5rPXnvM4NLHHuGB22/h0k98hH/6Pzfw+oMP5PPHvR5KJbIHHcj8ep2vfeB0wjDke7/4DZVymUvPeAfNRp3i4CB3XPEPzLnwWyxdupRTTjmFyy67jJkzZ2Jm9Pf3M2fO2INbnXPOOVx44YUccsghw9dYXnnllTz55JPst99+OOe4+eabWbZsGUcddRTr1q1j3rx5fPGLX+TDH/7wy54mzTDib79/H9nA45unHbpLTye0U8xjuWCPue4L7zuLINvE82o06yWcg2l7zqZQmI5PL2GtQBgUqLsa1eIg1dIg9fJ6mo0yLqwTNmtEYS2+34ZuFuBhwRz8YCFeZgHmz8bMw6zMhqDOpoEBZi2axpIDZrLvrB6CrI8fePgZj0J/jkxO1y/K7iVsRsNT1LRuQ+sqNFuDTYXxfRi6kfVmfN9sRNQrTSbjz5EfePiBke0O6OoZ+cIn35Mhmw/I5OIW30yu/eaRyQUEWQ/zjHqlmdxCapUmzjkyWZ8g6w23GAdZL9k2suwFu1639caqVSw77o3M/l9fZNpfb9OgcRNq2Qkn0vXqVzP3m98A4JkPfpDGc8+z7223Tp26b41Mu+wX8Nw9cfff/nnQvyAOcYU94nlA2wW5uLUzM8agb8160k14fXJLlmub2Povlov33/hsfNvwLM/+ZIhGBfY5ad3IbpkChLXNuwCPxnwYo8Vou3hBPEpvNg6tLsjz6KXrmHH0LPZ8x2vja2ZboXcr036NfQx/ZKCmTHdcz6OdJ61AHdaS+3r8Pv3M5t2dvWDcBneqlUsMrlzBumefYfDZFdTKJfpnzWZg9l4MJPddPVufaqTWDHl6XYnHVg/xxAtFHn9hiFUbq3RlfXpyAd3J/QGzezn9iAV0bdHjxUURxfUvsnHNakob1jP/oMVTYlCkRrXKLZddxLI//oFDjj+J1733LJ7b1OCZwRLLB8s8+2KZMHIEvpHxveRmdGcDClmfQi7AD2oMNdbz3MZNrNpYYtWmIquHShRrNcKoQegahDQJXZNcENGdhx4/YlpYpa9eI1Ov49fr+I0GQb2J36jhNyr49Qa5hkeu4RE0vZErS10r041+ten5P76VC99+Mi+Wynzj1t+yZ+9Iq+Gphx3Ioj2n8aO7H+SofRcwf/rA8GOhOS669Xec+cbD6enNEPoRl/7wD5z59iPo7uvCy7R6EI186VooNXjVE5voKzYY6s3wxKumsWZ+gb4NdaYPVukfrDKwrkah3KC71qCr0SRIvjyuB8ajc+GR+T7L98ww2OuTCQNydY+uuk++4ZOv+3znn37HZee8n8qmjdQrFQaLZS6+4/8yd6CPDeUqxVqdd7zmYA5fOBeA7911HwfN3oPD587GnOP6pQ/QiCL+5pgjufBXv+er/+VM/CCDFwQMDhX5yDcuYcbAABuGhgjDkK58F3/xV29n4/pBnn7qKQYHBykWi8ydN4/Lr76OZcufZenSpXzyc/+Nga4s/d0ZenMBnmcce+yxPProoxSLRWbMmMHVV1/NCSecwLHHHjs8Zcmhhx7K5ZdfPjygz7b6h18+wUV3PM6l7z6MUw4dvdV0W401j+VUkVqwNLOTgUsAH7jKOfe1sfadP32a+9TJJwN5zPL4mS6CrEettJaouR4YpQuKZfCDfszvwiwLZJJrBDJkfJ98xiOf9+nO+3TlIagPkquvJefKBNYg5zXY6HXzJLNYxhyGBl7B9P0P4KhD5nDEoun05HaKxl6RnUbcnSWkXmlSa4W2coN6NV6uV5pEkdvsf7bhoGAj38IOb2p7zEWOsBkH2KgZ0axH1CpNqsUGlWKDarFOtdigXgtHHSR0vJjFI/kGWZ9MK4RmvOEwG2Q9/MAbfj9mcfmxeNkAkmtfewZyDMzqZmBWN/17dk3I1D8ucjQbEc16uPmo0m2P1zds4qnT38fAmR+kcNKbCRtxPYfN5NaI8HwvDtet95l5acux5xu5QkBXb7aj9/L40cfQe+IJzEmuxdnwox+z6oILWPT979G1uIM5O3czT7/znfiFLhZ86eOwcUXcTXdodRy8sj1x19lsT7zeGuioUY5vUTMJWkHcXbc9dA2HsKBte7KOxUF4OByvj6+tHX7tCk9c/DCFBR57LRkch1baWBRCVPcIk1vkMvEMOJHhojgjhzVHs+rRrHqEVZ+w7oE5zAPzXHIDz3fgG5b00MBLRh52yY0I8z28XICXy8S3fBbL5/C6cnhdXXhdebzuHuieFn/p0BV3A/emzcafOQdyPXHdZ7qn9vW6URj/PKub4vtmPfkjZvEXJ60/cGMu28gXLMPLttnjLor4/U9u4q6f34rn+3T19iZdigfI9/WTzXeRyeUIcjky2RxBdtum6ArDJs1KmUalRLNapl4pU1z/IhvWrWNow8aXfE6YQS4bkM8F5PPx3/dqEDIUNKj7DaY1Q6Y3qgxUh/DDVj0AOBqhUa741EsB7/73e/jeMUeyplLlSw89xlWLD6Kr3qSr0STfaOI5aHgelWxANRNQyQbUAp+m7/GJu+/ls0sW09fdTS3wuOBXv+fc44+hkB+/cRDCIE+U78WI8KubsGbjJftEnlHPBTQyPl+97iYu+PiniXIFhhoRP77xu8xa9AoOP/k9PPXUMu7/7U9Y/KGvsKEasb4SMuvF53nTiqWUM3me6t+L52fOpzFtBoVchnoYMfTiWqL8ANVmyOCdN1J7/jH2OPVzo5Y1n/HozWeoNUI2Vcf+Mswz6O/KMNCdTe4zDHRl6M4FSQh3w7++rrWcPLe1rdVbarRMFTm45YFVvPmQOfzDuw97yePba6oHy1TSUTK07beBE4CVwB/N7Cbn3MOj7T8tX+YN+z7Barcfm9zeVMO9CaM+gjkNKtkGJVdkqLGJivMp5adTzM+gHPQCjkMqd3Jy9VaOju4F4A/RgQzRTQ9leq1CL2UyLmR5MIvH/bk8Y/PZVNibaI9Xsv8++/CahdN4+7yBl3yDJyLjy8zieTbzAT3T0imDc0mQqo3M7dqohTTq8RyizXpIlIyS2+qim+sKMM/i8FWPaNRDmrW25fpLl0fbVhmq06hHhI0wKQubdfN1kRvu+tuaZqhdoT9LJh8Md/n1Mx6e772k8cTzjUwuIJuMNJzJ+zRqIZVNdcpDdcqb4qDdqI4eJke15Dx4CHjo3o7qvyXIeOR7M+S6MnErcMbDz/jDy61wGmST7clykPVZk38FfW4u9YcG4wD7yqMoDSzguR/dxuy99sHPeAQZH98HwpCoWsVVKoTlMmG5inMOl/xz68zHzIjMw8zDJdsAnOfHPw/zcCT7e178M0v2heTeWfy6rZGW3ciIy5svx/e4eJop50aWW92749dheAqu1gBuw93Nk3lxfd9Lwk28rX2wt3jd2+yxLV+jOfgiuX2WwPwj4tsU4f/w7ZQ3bmJ1851YFjyrY66CRU1cGOGiCLa4d2G8HDWbRMUqYbFMWKoQFiuEQxVcrb5tB/eMoK8Lv7+AP607/pk0mkSNJq7ZxNVDXDPEhSGuESbl2eIfTUe8j4PQz9LIFGgEhfj7IxdirohFG/Hc88l6iBeFyXKEnw3J9jTJ9jbJ9jYIuvy41dUzMB/z4/BuQT4O/Zk8+Lk4uJsXh3vPHwmkyR8aaxWubXgdIAnPrfmW48sKXGvUnSiKry0NI1y9DLUy1Mvxcr0CYRWz1uskd/EbHd5mmz3Wtn34SzXXliPdZl8etkq5BJg5fRqr6r1U6xkqazNUXgjYFGVoOJ8mPo3IiNz2tiQ7AovIEOFbRMHqzPZrHJCv0u9X6fNqdPtxQ0TWwraMb9AwiDys4cc/h77Z0Dsbel+F9c2m9mKd8iMrKT+6gtry1eAa4Ht4GK87fAFr+zx6V6/g+HMPISpuwpWHiEpDRJVSfD12fUPcet7mH59ssHiPh3ntnAzNyHFBWOVv599DzWUpk8dF4WatpF7gyHQ34+8+hnvHtrrLjqhFARvreTY2cmxs5NnUyBNYSF9vjb5MfOvNVLkweh+/DI6JrxfO+uQCn3rzRr7x3e/joibm+cw6/ET63/gunssGVPJrWPf0Qyy99L/im4fvwbFnfpR93v95vvGpMzntXe9gcc90NlUblOohOd/j9lsuZu0zj+GZsdfsuZzxla8za9Zs8hmffMYnco6hapNNlQZDtSZD1Qa5wGdad5bpPVmmd2cZ6M5QqYdsqDTYUK6zsdJgQ7kxvP5iqc5Ta0uU601g5Etda/vCN14fqSWzzR/f0pF7T+dLpx60neffzimVFkszOwr4gnPupGT9PADn3FdH2//QRTPcLZ86nGx5NT31dXS58jYdJ8TDJ2JTMJ379ziFJ+a9Hde/gGzgEXhG4Mf3ucBjdn+eudO6mFnI7dJ9n0Vk11CvNtm4tsKGF8pseKHMpsEqzXpI2NZaONo0RWEziluGqyGNapNGLSTI+XT3Zunuy9LVl6WrN0s2t0XX3oy3+X8bxB+kfsZj9Wc/Q98bjmHmu/96OOh5gcX3voeLXBKi49DebEQv+Wa3FZYrQ/XhluR6pTnSYlpPWkIbI8vNRviyUzG9LBdhzsXBb4wBOHZ3RoSXCTYPp17SGpeEU/NsJCAn4RjXanhqjVq++SjT7du3Zvg0SRYaa9YQrl8fB7YoGt4+cha0JRhrSyitZT+ZpsJPApnv48wnMh+HR8TIf9k2/DpgnjcyvUXbY5u9B0veW2tbq6dBsqG1vV4LqRYbhNv6xc2OahtQyNquTQeHuZBsfYhsYyi+r2/CD6vDmW8yOIPIyxD6OUIvG9/7OUI/S+TnaPo5Ij9L6GWA+O+PG/75bv/vbDzA0su0XEUNvLCGHzbwwzp+2CSIGvhhDT+qYdH4/bx6Ss+xaO1/0PXqV9O9ZAndRxxB16GL6Zs5c3hU2Le97W08+OCDY79I2Iyvc66XoFnj21deywMPPcI/fuXT3PDTX/Hj2/+D7//bdZDvi8NtewtydWM8onbUHP0WjrG9dT10kB9uOY8yBRp+AX/2qwh6R59fVsaPWixHNxd4tm19JfDa9h3M7GzgbIAFCxYw9xN3jDxYG4Lims27WFQ3xV1l2q6B8MM67HU4fQe8mdf7GV4/8e9LRGRSZPMBe8zvZY/5W7/G6uW0Wr46Un+aXrcPc145uXMeQtya1wrUtcENLPurdzLt7HMonPQWGvWQsB5RXb2GoaX3EUYW35wRRh6Yh2WC+PqjjJ9chxS/rrko+WfcYVEUt5a4KA5NLsJIQk0SUM1F8b4ugiiK74cfC+PnRg5c2LYtGeCmWsNVK7hqmahShmoteb3WazksSl6j9fpRSNyx0sM5S7pkxcHI4cWTalv7ejx0S4SXtKjGt8j8ZDkOVsPLnk/huOPJLJxHFMWTc0ehw4XR8HIUxWFyywAJm7estrfGDt9v2ZL3cmxkId8zD7N5I9td0npGcuzhMMlLgmt79/jhu6TV128bYMysbWCw+M2MBFfXtt7WJa7VP264O1yr5+tL1h2ZnE9XT3b42u58IR6NN67T1jXpjqgZbXZNepwT3cjh6nWiemMkXLcNYrb5+shzWo+FoaNSmkmlFFIpNVlfCmnUxwhODtre6Rhs1MX28oy2wfeNIGMEAWQyRjaAIIDAh0zgCHzwvIi4sTL+AsOcIw6ILrlm0bX9TN1m5d28FW7L1ri4NdQ5oxlCM/Roht00Q6MZefHNeTRDoxra5pcqD1f1KPXixlhpW+yb93oO+NhFWPalU4K1PPnkk8NzNAJ86EMf4txzz+Wss87inHPOiUdFbY3+DHz4kxdwxhlnsN8b38f06dO54YYboKct6Hn+ZvuPFw/QpGPSklawHO2/mM1/FZ27ArgCYMmSJZv/5uZ645uIiHRkPAa08QqF1EaF9by4CzV58Dc2KFTWMGPPHAP7tA0usngmnHhgKuUTEdlWxWJ83fCiRYuoVCqj7nPVVaPPVZ/P5/nBD34wYWUT2RZp9f9ZCbTPQjoPeD6lsoiISAfSDJbtWmVoTYEiIiIikyetYPlHYH8z29viIVtPB25KqSwiItIBr9CtYCkiIrKbS6UrrHOuaWYfA24jnm7kGufcQ2mURUREOuMVCoRr1219xwkWleJuZF6PgqWIiMhkS20yRufcLcAtaR1fRETGh18o0HhmRdrFUIuliIhIijTGuoiIdGTKXGOZDHzh9/SkXBIREZHdj4KliIh0xOueIsFSLZYiIiKpUbAUEZGOeIUCUbmMG8cJxHdEqGApIiKSGgVLERHpSCvIReXR512bLFGxhOXzWJDa8AEiIiK7LQVLERHpyHCwTLk7bFQqqbVSREQkJQqWIiLSkSkTLItFTTUiIiKSEgVLERHpyJQJlmqxFBERSY2CpYiIdGQqBUu/W8FSREQkDQqWIiLSkZHBe9INlmGpiKc5LEVERFKhYCkiIh3xCt3A1GixVFdYERGRdChYiohIR6ZMV9hiSS2WIiIiKVGwFBGRjvhTJViqxVJERCQ1CpYiItIR6+4Gs1SDpWs2cdXqcLdcERERmVwKliIi0hEzw+vuTjVYto7tqyusiIhIKhQsRUSkY16hQDgFgqW6woqIiKRDwVJERDrmFQqptliGxWJcDrVYioiIpELBUkREOpZ2sFSLpYiISLoULEVEpGNxsCyndvzWsRUsRURE0qFgKSIiHUu9xbLVFbagrrAiIiJpULAUEZGOpR4s1RVWREQkVQqWIiLSMa+Q9nQjrRZLzWMpIiKSBgVLERHp2FRpsfTVYikiIpIKBUsREemYVyjgajVcs5nK8aNSCctmsWw2leOLiIjs7hQsRUSkY62WwrRaLcNiUXNYioiIpEjBUkREOuaNESydc5Ny/KhU1sA9IiIiKVKwFBGRjo0WLMOhIZ486WTWXHTRhAfMqFRSsBQREUmRgqWIiHRstGC5/rs30FixgsErr2Lwiisn9PhRsYjXo2ApIiKSliDtAoiIyM6vFSzDJFhG1Sov/su/UDj6aPwZM1h78cX4AwNMe9dfT8jxo1IJf+aMCXltERER2ToFSxER6diWLZYbb7yRcN06Zlx0Ed2HH0a4cQOrv/AF/P5++k4+adyPHxWLZBcuHPfXFRERkW2jrrAiItKxkWBZxjWbDF59DflDF9N95BFYJsO8Sy6h67DDeO4zn6H4+9+P+/HDsq6xFBERSZOCpYiIdKy9xXLTrbfRWLmSmWefjZnFj3d1Mf/y75Dbe29WfvxcXrzuOqJqddyOr1FhRURE0qVgKSIiHRsOlsUig1deSXbffek57rjN9vH7+5l/1ZV0LV7MC1/9Gk+ecCIv/tv1RPV6R8d2YYgrlzWPpYiISIoULEVEpGOWzUIQsOn226g99hgzzjoL8176EZPZc08WXvvPLLjuOjILF/DCl7/MkyeexMabb97hY0flMoBaLEVERFKkYCkiIh0zM7xCgdrDjxDMmUP/W9/ysvsXXnskC//1X1lwzdUE06fz/Gc/R3P9+h06dlQsAmi6ERERkRQpWIqIyLjwCt0AzPjgB+IWzK0wMwpHH83Mj38MnKO+fPkOHbc1Eq2vFksREZHUKFiKiMi48AsF/P5+Bk47bbuel120CID68md26LitYKmusCIiIunRPJYiIjIuZpx9Nl53N15393Y9LztvHvg+9WeW79Bxw+GusBq8R0REJC0KliIiMi76/+Ivduh5lsmQmTdXLZYiIiI7MXWFFRGR1GUXLqT+zA4Gy2ISLNViKSIikhoFSxERSV120SLqzzyDc267n6sWSxERkfQpWIqISOqyCxfiymWaa9Zu93MVLEVERNKnYCkiIqkbGRl2+XY/NyoVsUwGbxumOBEREZGJoWApIiKpyy5cBLBDI8NGpZJaK0VERFKmYCkiIqnLzJmNZTI7NIBPWCxq4B4REZGUKViKiEjqzPfJLFywQ1OORKWyWixFRERSpmApIiJTQnbhInWFFRER2UkpWIqIyJSQXbSQxjMrcGG4Xc+LikW8HgVLERGRNClYiojIlJBduBDXaNBYtXq7nqcWSxERkfQpWIqIyJSwo1OORMUivgbvERERSZWCpYiITAk7OuVIVCrhdavFUkREJE0KliIiMiUEe+6BdXdv15QjLoqIyhoVVkREJG0KliIiMiWYGdmFC7erK2xULgNoHksREZGUKViKiMiUkV24cLtaLKNSCUAtliIiIilTsBQRkSkju2ghjZXP4RqNbdo/KhYBBUsREZG0KViKiMiUkV24CMKQ+sqV27T/cIul5rEUERFJlYKliIhMGdlFC4Ftn3KkFSx9tViKiIikSsFSRESmjOG5LLfxOsuw1RVWg/eIiIikqqNgaWbfNLNHzex+M7vRzAbaHjvPzJaZ2WNmdlLb9pOTbcvM7POdHF9ERHYt/sAAXn//drdY6hpLERGRdHXaYnkHcLBzbjHwOHAegJkdCJwOHAScDHzHzHwz84FvA28GDgTenewrIiIyMuXINrZYKliKiIhMDR0FS+fc7c65ZrJ6JzAvWT4VuME5V3POPQ0sA45Mbsucc0855+rADcm+IiIiQHyd5TYHy2Jr8B51hRUREUnTeF5j+SHg58nyXODZtsdWJtvG2i4iIgLEc1k2n19FVK1udd+oVIIgwLLZSSiZiIiIjGWrwdLMfmFmD45yO7VtnwuAJnB9a9MoL+VeZvtoxz3bzJaa2dK1a9du/Z2IiMguIbtwEQD1FSu2um9ULOIXCpiN9vEiIiIikyXY2g7OuTe93ONmdibwNuB451wrJK4E5rftNg94Plkea/uWx70CuAJgyZIlo4ZPERHZ9QyPDLt8OflXvOJl941KJV1fKSIiMgV0OirsycDngFOcc+W2h24CTjeznJntDewP3A38EdjfzPY2syzxAD83dVIGERHZtQzPZbkN11lGZQVLERGRqWCrLZZbcRmQA+5IuiHd6Zw7xzn3kJl9H3iYuIvsR51zIYCZfQy4DfCBa5xzD3VYBhER2YX4PT34M2du05QjYbGogXtERESmgI6CpXNuv5d57CvAV0bZfgtwSyfHFRGRXVt24UIq99xL7amnye2z95j7RaUyfl/fJJZMRERERjOeo8KKiIiMi4F3nkbjued46q1v5dmPfozyPfeOul+kFksREZEpQcFSRESmnIG//Ev2+/WvmPmRc6gsXcoz73kPy9/9Hkp3373ZfvHgPd0plVJERERaFCxFRGRKCmbMYI9zz2W/X/+KWRdcQPOFF1hx5gdYc9G3cI0GoFFhRUREpgoFSxERmdK87m6mn/E+9vnpzQyc9g4Gr7yS5e95L/Xly4lKJXx1hRUREUmdgqWIiOwUvO5u5nzpS8y95BLqK1bw1F+9HZxTi6WIiMgUoGApIiI7lb6TTmSff7+RroMPBsAfmJZyiURERKTTeSxFREQmXWbOHBZc+8+U/t8f6H7tkWkXR0REZLenYCkiIjsl8316jn192sUQERER1BVWREREREREOqRgKSIiIiIiIh1RsBQREREREZGOKFiKiIiIiIhIRxQsRUREREREpCMKliIiIiIiItIRBUsRERERERHpiIKliIiIiIiIdETBUkRERERERDqiYCkiIiIiIiIdUbAUERERERGRjihYioiIiIiISEcULEVERERERKQjCpYiIiIiIiLSEQVLERERERER6YiCpYiIiIiIiHREwVJEREREREQ6omApIiIiIiIiHVGwFBERERERkY4oWIqIiIiIiEhHzDmXdhm2ysyGgMfSLsdubCawLu1C7MZU/+lR3adL9Z8u1X96VPfpUv2nS/U/toXOuT3SLsRYgrQLsI0ec84tSbsQuyszW6r6T4/qPz2q+3Sp/tOl+k+P6j5dqv90qf53XuoKKyIiIiIiIh1RsBQREREREZGO7CzB8oq0C7CbU/2nS/WfHtV9ulT/6VL9p0d1ny7Vf7pU/zupnWLwHhEREREREZm6dpYWSxEREREREZmipnywNLOTzewxM1tmZp9Puzy7OjObb2a/NrNHzOwhM/tEsn26md1hZk8k99PSLuuuysx8M7vXzH6arO9tZncldf89M8umXcZdlZkNmNkPzezR5HfgKJ37k8PMPpX8zXnQzL5rZnmd+xPHzK4xszVm9mDbtlHPdYtdmnwO329mh6dX8l3DGPX/zeRvz/1mdqOZDbQ9dl5S/4+Z2UnplHrXMVr9tz32aTNzZjYzWdf5P47Gqnsz+3hyfj9kZt9o265zfycypYOlmfnAt4E3AwcC7zazA9Mt1S6vCfydc+5VwOuAjyZ1/nngl865/YFfJusyMT4BPNK2/nXg4qTu1wMfTqVUu4dLgFudc68EDiX+Oejcn2BmNhc4F1jinDsY8IHT0bk/ka4FTt5i21jn+puB/ZPb2cDlk1TGXdm1vLT+7wAOds4tBh4HzgNIPoNPBw5KnvOd5P8j2XHX8tL6x8zmAycAK9o26/wfX9eyRd2b2XHAqcBi59xBwN8n23Xu72SmdLAEjgSWOeeecs7VgRuITzyZIM65Vc65e5LlIeJ/rOcS1/t1yW7XAX+ZTgl3bWY2D3grcFWybsAbgR8mu6juJ4iZ9QFvAK4GcM7VnXMb0Lk/WQKgy8wCoBtYhc79CeOc+x3w4habxzrXTwX+xcXuBAbMbM7klHTXNFr9O+dud841k9U7gXnJ8qnADc65mnPuaWAZ8f9HsoPGOP8BLgY+C7QPQKLzfxyNUfcfAb7mnKsl+6xJtuvc38lM9WA5F3i2bX1lsk0mgZktAg4D7gJmOedWQRw+gT3TK9ku7X8Tf6hFyfoMYEPbPxv6HZg4+wBrgX9OuiJfZWYFdO5POOfcc8TfUK8gDpQbgf9E5/5kG+tc12fx5PsQ8PNkWfU/CczsFOA559yftnhI9T/xXgF7XIOGAAAGkElEQVQcm1z68FszOyLZrrrfyUz1YGmjbNMwtpPAzHqAHwGfdM5tSrs8uwMzexuwxjn3n+2bR9lVvwMTIwAOBy53zh0GlFC310mRXMt3KrA3sBdQIO5+tiWd++nQ36FJZGYXEF+Wcn1r0yi7qf7HkZl1AxcA/2O0h0fZpvofXwEwjfgSrM8A3096bKnudzJTPViuBOa3rc8Dnk+pLLsNM8sQh8rrnXM/Tja/0Or6kdyvGev5ssOOAU4xs+XE3b7fSNyCOZB0DwT9DkyklcBK59xdyfoPiYOmzv2J9ybgaefcWudcA/gxcDQ69yfbWOe6PosniZmdCbwNeK8bmQ9O9T/x9iX+YutPyWfwPOAeM5uN6n8yrAR+nHQ3vpu419ZMVPc7nakeLP8I7J+MDJglvoD3ppTLtEtLviG6GnjEOfettoduAs5Mls8EfjLZZdvVOefOc87Nc84tIj7Xf+Wcey/wa+C0ZDfV/QRxzq0GnjWzA5JNxwMPo3N/MqwAXmdm3cnfoFbd69yfXGOd6zcB709Gx3wdsLHVZVbGj5mdDHwOOMU5V2576CbgdDPLmdnexIPI3J1GGXdVzrkHnHN7OucWJZ/BK4HDk88Fnf8T79+Jv0zHzF4BZIF16Nzf6QRb3yU9zrmmmX0MuI14lMBrnHMPpVysXd0xwBnAA2Z2X7LtfOBrxF0TPkz8T+A7Uyrf7uhzwA1m9mXgXpLBZWRCfBy4Pvki6yngg8RfwOncn0DOubvM7IfAPcRdAO8FrgB+hs79CWFm3wX+HJhpZiuB/8nYf+dvAd5CPHBGmfj3QjowRv2fB+SAO+LvV7jTOXeOc+4hM/s+8ZctTeCjzrkwnZLvGkarf+fcWH9fdP6PozHO/WuAa5IpSOrAmUmLvc79nYyN9LQQERERERER2X5TvSusiIiIiIiITHEKliIiIiIiItIRBUsRERERERHpiIKliIiIiIiIdETBUkRERERERDqiYCkiIiIiIiIdUbAUEZEpzcyuMrMDJ+E457ctL0rmVBvvY/y5mf10O5/zGzNbMsr2D5jZZeNXOhERkR2nYCkiIlOac+4s59zDk3Co87e+y+bMLJiIgoiIiOxsFCxFRGTKMLOCmf3MzP5kZg+a2bvaW+zMrGhmX0kev9PMZiXbZ5nZjcn2P5nZ0cn295nZ3WZ2n5n9k5n5Yxz3a0BXst/1yWbfzK40s4fM7HYz60r2/Y2ZXWhmvwU+YWZ7mNmPzOyPye2YZL8/S17vPjO718x6k9ftMbMfmtmjZna9mVmy//HJfg+Y2TVmlhulnB80s8eTYx8zbhUvIiLSIQVLERGZSk4GnnfOHeqcOxi4dYvHC8CdzrlDgd8Bf5NsvxT4bbL9cOAhM3sV8C7gGOfcq4EQeO9oB3XOfR6oOOde7Zxr7bM/8G3n3EHABuAdbU8ZcM79mXPuIuAS4GLn3BHJPlcl+3wa+Ghy7GOBSrL9MOCTwIHAPsAxZpYHrgXe5Zw7BAiAj7SX0czmAF8kDpQnJM8XERGZEhQsRURkKnkAeJOZfd3MjnXObdzi8TrQukbxP4FFyfIbgcsBnHNh8rzjgdcAfzSz+5L1fbajLE875+4b5VgA32tbfhNwWXKMm4C+pHXy98C3zOxc4iDaTPa/2zm30jkXAfclr3tAcrzHk32uA96wRXleC/zGObfWOVffogwiIiKp0rUhIiIyZTjnHjez1wBvAb5qZrdvsUvDOeeS5ZCX/xwz4Drn3Hk7WJxa23IIdLWtl9qWPeAo51yFzX3NzH5G/F7uNLM3jfG6QVLWbeG2vouIiMjkU4uliIhMGWa2F1B2zv0b8PfE3Vq3xS9Juo6amW9mfcm208xsz2T7dDNb+DKv0TCzzA4U+3bgY23v4dXJ/b7OuQecc18HlgKvfJnXeBRYZGb7JetnAL/dYp+7gD83sxlJOd+5A2UVERGZEAqWIiIylRwC3J10K70A+PI2Pu8TwHFm9gBxt9WDkpFk/xtwu5ndD9wBzHmZ17gCuL9t8J5tdS6wxMzuN7OHgXOS7Z9MBiD6E/H1lT8f6wWcc1Xgg8APkvcQAf+4xT6rgC8AfwB+AdyzneUUERGZMDbSo0hERERERERk+6nFUkRERERERDqiwXtERGS3YmZ3AVvOEXmGc+6BNMojIiKyK1BXWBEREREREemIusKKiIiIiIhIRxQsRUREREREpCMKliIiIiIiItIRBUsRERERERHpiIKliIiIiIiIdOT/A8EDnxs/94gfAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ "<Figure size 1080x648 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title=\"Deaths per day, 7 day moving average\")\n",
+ "# uk_projection.deaths_m7.plot(ax=ax)\n",
+ "for c in COUNTRIES_CORE:\n",
+ " lvi = deaths_m7[c].last_valid_index()\n",
+ " ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = f\"{c}: {deaths_m7[c][lvi]:.0f}\")\n",
+ " if c in school_reopenings:\n",
+ " marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()\n",
+ " ax.plot(school_reopenings[c]['since_threshold'], school_reopenings[c]['deaths_m7'], '*', \n",
+ " markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
+ " ax.text(x = school_reopenings[c]['since_threshold'] + 1, y = school_reopenings[c]['deaths_m7'], \n",
+ " s = f\"{school_reopenings[c]['date']}: {school_reopenings[c]['deaths_m7']:.0f}\")\n",
+ "plt.savefig('school_reopenings.png')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 719,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title=\"Deaths per day, 7 day moving average\",\n",
+ "# xlim=(46, 91), ylim=(0, 400))\n",
+ "# # uk_projection.deaths_m7.plot(ax=ax)\n",
+ "# for c in COUNTRIES_CORE:\n",
+ "# lvi = deaths_m7[c].last_valid_index()\n",
+ "# ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = f\"{c}: {deaths_m7[c][lvi]:.0f}\", fontsize=14)\n",
+ "# if c in school_reopenings:\n",
+ "# marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()\n",
+ "# ax.plot(school_reopenings[c]['since_threshold'], school_reopenings[c]['deaths_m7'], '*', \n",
+ "# markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
+ "# ax.text(x = school_reopenings[c]['since_threshold'] + 1, y = school_reopenings[c]['deaths_m7'], \n",
+ "# s = f\"{school_reopenings[c]['date']}: {school_reopenings[c]['deaths_m7']:.0f}\",\n",
+ "# fontsize=14)\n",
+ "# plt.savefig('school_reopenings_detail.png')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Lockdown graphs"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 720,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "lockdown_dates = {\n",
+ " 'ES': { 'part_start': {'date': '2020-03-14'}\n",
+ " , 'full_start': {'date': '2020-03-15'}\n",
+ " , 'part_finish': {'date': '2020-05-18'}\n",
+ " },\n",
+ " 'FR': { 'part_start': {'date': '2020-03-13'}\n",
+ " , 'full_start': {'date': '2020-03-17'}\n",
+ " , 'part_finish': {'date': '2020-05-11'}\n",
+ " },\n",
+ " 'IT': { 'part_start': {'date': '2020-03-08'}\n",
+ " , 'full_start': {'date': '2020-03-10'}\n",
+ " , 'part_finish': {'date': '2020-05-04'}\n",
+ " },\n",
+ " 'DE': { #'part_start': {'date': '2020-03-13'}\n",
+ " 'full_start': {'date': '2020-03-22'}\n",
+ " , 'part_finish': {'date': '2020-05-06'}\n",
+ " },\n",
+ " 'UK': { 'part_start': {'date': '2020-03-23'}\n",
+ " , 'full_start': {'date': '2020-03-23'}\n",
+ " , 'part_finish': {'date': '2020-05-31'}\n",
+ " },\n",
+ " 'IE': { #'part_start': {'date': '2020-03-12'}\n",
+ " 'full_start': {'date': '2020-03-27'}\n",
+ " , 'part_finish': {'date': '2020-05-18'}\n",
+ " },\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 721,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'ES': {'part_start': {'date': '2020-03-14',\n",
+ " 'since_threshold': 4,\n",
+ " 'deaths_m7': 23.2,\n",
+ " 'cases_m7': 1222.8},\n",
+ " 'full_start': {'date': '2020-03-15',\n",
+ " 'since_threshold': 5,\n",
+ " 'deaths_m7': 21.833333333333332,\n",
+ " 'cases_m7': 1376.3333333333333},\n",
+ " 'part_finish': {'date': '2020-05-18',\n",
+ " 'since_threshold': 69,\n",
+ " 'deaths_m7': 137.85714285714286,\n",
+ " 'cases_m7': 548.0}},\n",
+ " 'FR': {'part_start': {'date': '2020-03-13',\n",
+ " 'since_threshold': 4,\n",
+ " 'deaths_m7': 10.2,\n",
+ " 'cases_m7': 432.0},\n",
+ " 'full_start': {'date': '2020-03-17',\n",
+ " 'since_threshold': 8,\n",
+ " 'deaths_m7': 16.857142857142858,\n",
+ " 'cases_m7': 745.8571428571429},\n",
+ " 'part_finish': {'date': '2020-05-11',\n",
+ " 'since_threshold': 63,\n",
+ " 'deaths_m7': 212.14285714285714,\n",
+ " 'cases_m7': 1110.857142857143}},\n",
+ " 'IT': {'part_start': {'date': '2020-03-08',\n",
+ " 'since_threshold': 11,\n",
+ " 'deaths_m7': 29.142857142857142,\n",
+ " 'cases_m7': 679.2857142857143},\n",
+ " 'full_start': {'date': '2020-03-10',\n",
+ " 'since_threshold': 13,\n",
+ " 'deaths_m7': 58.857142857142854,\n",
+ " 'cases_m7': 1019.4285714285714},\n",
+ " 'part_finish': {'date': '2020-05-04',\n",
+ " 'since_threshold': 68,\n",
+ " 'deaths_m7': 320.0,\n",
+ " 'cases_m7': 1863.142857142857}},\n",
+ " 'DE': {'full_start': {'date': '2020-03-22',\n",
+ " 'since_threshold': 6,\n",
+ " 'deaths_m7': 8.428571428571429,\n",
+ " 'cases_m7': 2524.0},\n",
+ " 'part_finish': {'date': '2020-05-06',\n",
+ " 'since_threshold': 51,\n",
+ " 'deaths_m7': 125.85714285714286,\n",
+ " 'cases_m7': 1036.5714285714287}},\n",
+ " 'UK': {'part_start': {'date': '2020-03-23',\n",
+ " 'since_threshold': 8,\n",
+ " 'deaths_m7': 35.0,\n",
+ " 'cases_m7': 904.1428571428571},\n",
+ " 'full_start': {'date': '2020-03-23',\n",
+ " 'since_threshold': 8,\n",
+ " 'deaths_m7': 35.0,\n",
+ " 'cases_m7': 904.1428571428571},\n",
+ " 'part_finish': {'date': '2020-05-31',\n",
+ " 'since_threshold': 77,\n",
+ " 'deaths_m7': 258.14285714285717,\n",
+ " 'cases_m7': 1615.5714285714287}},\n",
+ " 'IE': {'full_start': {'date': '2020-03-27',\n",
+ " 'since_threshold': 0,\n",
+ " 'deaths_m7': 10.0,\n",
+ " 'cases_m7': 255.0},\n",
+ " 'part_finish': {'date': '2020-05-18',\n",
+ " 'since_threshold': 52,\n",
+ " 'deaths_m7': 12.142857142857142,\n",
+ " 'cases_m7': 159.42857142857142}}}"
+ ]
+ },
+ "execution_count": 721,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "for cID in lockdown_dates:\n",
+ " for phase in lockdown_dates[cID]:\n",
+ " dst_in = data_since_threshold[data_since_threshold.dateRep == (lockdown_dates[cID][phase]['date'])].loc[(slice(None), [cID]), :]\n",
+ " dst_i = dst_in.first_valid_index()\n",
+ " dst_n = dst_in.iloc[0].deaths_m7\n",
+ " dst_c = dst_in.iloc[0].cases_m7\n",
+ " lockdown_dates[cID][phase]['since_threshold'] = dst_i[0]\n",
+ " lockdown_dates[cID][phase]['deaths_m7'] = dst_n\n",
+ " lockdown_dates[cID][phase]['cases_m7'] = dst_c\n",
+ "\n",
+ "lockdown_dates"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 722,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 1080x648 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title=\"Deaths per day, 7 day moving averagee, with lockdown dates\")\n",
+ "ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
+ "# uk_projection.deaths_m7.plot(ax=ax)\n",
+ "for c in COUNTRIES_CORE:\n",
+ " lvi = deaths_m7[c].last_valid_index()\n",
+ " if c != 'UK':\n",
+ " ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = f\"{c}: {deaths_m7[c][lvi]:.0f}\")\n",
+ " if c in lockdown_dates:\n",
+ " for phase in lockdown_dates[c]:\n",
+ " marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()\n",
+ " ax.plot(lockdown_dates[c][phase]['since_threshold'], lockdown_dates[c][phase]['deaths_m7'], '*',\n",
+ " markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
+ " if 'start' not in phase:\n",
+ " ax.text(x = lockdown_dates[c][phase]['since_threshold'] + 1, y = lockdown_dates[c][phase]['deaths_m7'], \n",
+ " s = f\"{lockdown_dates[c][phase]['date']}: {lockdown_dates[c][phase]['deaths_m7']:.0f}\")\n",
+ "# plt.savefig('school_reopenings.png')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 723,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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2kKRnnXNvNHwyAADqhhZTAAgzfhfm/yfpodDr2JxzJc65vmFUlP5c3jVvVVuhwp6ZdTKz4WYWYWa95bUs1Vd35AZzILmdcxdRlAIAwlW1I2YCABqfmfWVd+3nV/K6JIYlM1so7/q/yfs5CEzQYiQ9ICld3k9qzJHXbTjcNdXcAADUiK68AAAAAIBA0ZUXAAAAABAoClMAAAAAQKDC+hrTdu3aubS0tKBjAAAAAEAgFi9evNU51z7oHA0trAvTtLQ0LVq0KOgYAAAAABAIM1sTdIbGQFdeAAAAAECgKEwBAAAAAIGiMAUAAAAABCqsrzEFAAAAgH0pLS1Vdna2ioqKgo6y3+Li4pSamqro6OigowSCwhQAAABAk5adna2kpCSlpaXJzIKOU2fOOW3btk3Z2dlKT08POk4g6MoLAAAAoEkrKipSSkpKkyxKJcnMlJKS0qRbfA8UhSkAAACAJq+pFqWVmnr+A0VhCgAAAAD74YYbbtBdd931o/mrV6/WgAEDAkjUdFGYAgAAAAACxeBHAAAAAFqcP/3pT3ryySfVtWtXtWvXTkcccYQmTpyoadOmacuWLWrVqpX+/e9/q0+fPlqzZo0uuOACbdmyRe3bt9fMmTPVrVu3Pfa3ePFiXXDBBWrVqpVGjBgR0Fk1XbSYAgAAAGhRFi1apOeff15ffvmlXnjhBS1atEiSNHXqVP3973/X4sWLddddd+nSSy+VJP3617/WlClTtHTpUp1zzjn67W9/+6N9nn/++br33nv18ccfN+q5NBe0mAIAAABoUT744AONHz9e8fHxkqTTTjtNRUVF+uijj3TGGWfsXq+4uFiS9PHHH+uFF16QJE2ePFlXXXXVHvvLzc3Vjh07dNxxx+1e57XXXmuMU2k2aDEFAABArUVGRiojI2P37fbbb5ckvfzyyxo8eLAGDRqkfv366YEHHqjTvsaNG7d7/oUXXqhBgwbpsMMO0+mnn678/Pzdy5555hn169dP/fv319lnn717/tVXX60BAwZowIABevrpp+vxjNEcOed+NK+iokJt2rTRkiVLdt8yMzP3un3VEXSdcy1+VN0DRWEKAACAWouPj9/jg/v06dNVWlqqqVOnav78+frqq6/05ZdfatSoUXXa17x583bPv/vuu/XVV19p6dKl6tatm+677z5J0vLly3Xbbbfpww8/1DfffKN77rlHkvTKK6/oiy++0JIlS/Tpp5/qzjvvVF5eXoOcP5qHESNGaP78+SoqKlJ+fr5eeeUVtWrVSunp6Xr22WclecXmV199JUk65phjNGfOHEnSk08++aNrSNu0aaPk5GR98MEHu9dB3VCYAgAA4IDs3LlTZWVlSklJkSTFxsaqd+/e+72/1q1bS/IKg8LCwt0tUf/+9781bdo0tW3bVpLUoUMHSdK3336r4447TlFRUUpISNCgQYP0+uuvH8gpoZk78sgjNW7cOA0aNEg/+9nPNGTIECUnJ+vJJ5/Uww8/rEGDBql///6aO3euJOnee+/VzJkzddhhh+nxxx/X3/72tx/tc+bMmZo2bZqOPvro3V2EUXu2t2bscDFkyBBXeSEyAAAAghcZGamBAwfunp4xY4YmTZqkiy66SPPmzdOJJ56osWPH6qyzzlJERITmzZunRYsW6aabbvrRvqKiopSRkaGoqChNnz5dEyZM2L3s/PPP16uvvqp+/frtbs2aMGGCevXqpQ8//FDl5eW64YYbNGbMGL355pu68cYbtWDBAhUUFGjo0KGaNm2arrjiikZ5TBC8zMxM9e3bt07b5OfnKzExUQUFBTr22GP14IMP6vDDD2+ghLWzt/Mws8XOuSEBRWo0DH4EAACAWqvsflvVQw89pP/+97966623dNddd2nBggWaNWuWxo0bt8f1o6F++OEHde7cWStXrtQJJ5yggQMH6pBDDpHktT6Vl5frN7/5jZ5++mmdf/75Kisr0/Lly7Vw4UJlZ2dr5MiR+vrrr/XTn/5Un3/+uY455hi1b99eRx99tKKi+JiLmk2dOlXffvutioqKdO655wZelLZ0dOUFAABAvRg4cKAuu+wyLViwQM8///w+1+/cubMkqUePHho1apS+/PLLPZZHRkZq0qRJu/eVmpqq8ePHKzo6Wunp6erdu7eWL18uSbr22mu1ZMkSLViwQM459ezZs57PDs3N7NmztWTJEmVlZWnGjBlBx2nxKEwBAACaOVdRofLc3Abbf35+vhYuXLh7esmSJerevXuN2+Tk5Oz+KY6tW7fqww8/VL9+/eSc04oVK7zczmn+/Pnq06ePJGnChAl65513dm+zbNky9ejRQ+Xl5dq2bZskaenSpVq6dKl++tOf1vdpAmhA9HEAAABoxpxz2nTLrdr14YdKe/YZRSYlHdD+CgsLlZGRsXt6zJgxuvbaa/XnP/9ZF198seLj45WQkKBZs2ZJUrXXmGZmZuriiy9WRESEKioqNH36dPXr108VFRU699xzlZeXJ+ecBg0apH/961+SpNGjR+vNN99Uv379FBkZqTvvvFMpKSkqKirSyJEjJXkDJz3xxBN05QWaGAY/AgAAaKacc9r85zu1feZMHXTBBepw5e/5rUU0S/sz+FE4asmDH9GVFwAAoJnacu+92j5zptqecw5FKYCwRh8HAACAZmjrv/6lbf+6X23OOEMHX3sNRSnQwBITE/Xxxx9r8uTJkrxRp5OTk5WcnKx27drprbfeCjhheKMwBQAAaGa2PfyItvztXiWPH6eON94gi6CTHNAYBg4cuPvnlM477zyNHTtWp59+esCpmgbepQAAAJqR7U88qc133qnWp5ysTrfcQlEKoEmgxRQAAKCZyHnmGW26+WYl/uREdb7jDhkj06IFunH+N/p2fV697rNf59a6/rT+9bpP7Imv0AAAAJqBHS+9pI3X36CE445Vl7/+VRYdHXQkAKg1vkYDAABo4vJefVUbrrlWCUcPU+q99yoiJiboSEBgaNlsmmgxBQAAaMLyFizQuiuvUqvDD1fqffcpIjY26EgAUGcUpgAAAE1U/rvvat3lVyh+wACl3n+/Ilq1CjoSAOwXuvICAAA0Qbs++kjZv/mt4nr1Utd/P6jIxISgIwEtWn5+/h7Ts2bNCiZIE0WLKQAAQBNT8PnnWnvpNMWkp6vrQ/9WZOvWQUcCgANCYQoAANCEFHz5pdZefImiu3RRt0ceVlTbtkFHAoADRmEKAADQRBT+92ut/eVURbZvp24zH1FUSkrQkQCgXlCYAgAANAFFWVn64aKLFJmcrO6zZim6Q4egIwFAvaEwBQAACHPFK1bohwsuVER8vLo9OkvRnToFHQkA6hWFKQAAQBgrWbNGa84/X4qMUPdZMxWTmhp0JACodxSmAAAAYWzz3ffIFZeo+8yZiklLCzoOgGpERkYqIyND/fv316BBg/TXv/5VFRUVkqSFCxcqOTlZGRkZu29vvfVWwInDC79jCgAAEMaKvvlGCcOPUeyhhwYdBUAN4uPjtWTJEknS5s2bdfbZZys3N1c33nijJGnkyJF6+eWXg4wY1mgxBQAACFPlO3eqdO1axfXpG3QUAHXQoUMHPfjgg7rvvvvknAs6TpNAiykAAECYKs7KkiTF9e0TcBKgCXlturTxv/W7z44DpZNvr9MmPXr0UEVFhTZv3ixJev/995WRkbF7+fPPP69DDjmkXmM2ZRSmAAAAYaoo0ytMY/tQmAJNUWhrKV15a0ZhCgAAEKaKsrIUmZKiqPbtg44CNB11bNlsKCtXrlRkZKQ6dOigzMzMoOOEPa4xBQAACFNFWZmK69NHZhZ0FAB1sGXLFl1yySX69a9/zd9vLdFiCgAAEIZcSYlKlq9Q4rlTgo4CoBYKCwuVkZGh0tJSRUVFafLkybr88st3L696jel1112n008/PYioYYnCFAAAIAwVr1olV1qqWEbkBZqE8vLyapeNGjVKubm5jZim6aErLwAAQBgq8q9JY0ReAC1BrQpTM1ttZv81syVmtsifd5CZLTCz5f6/bf35Zmb3mtkKM1tqZoeH7Odcf/3lZnZuw5wSAABA01ecmSWLi1NMWlrQUQCgwdWlxfR451yGc26IPz1d0n+ccz0l/ceflqSTJfX0b1Ml/UvyCllJ10s6StJQSddXFrMAAADYU1FWlmJ79ZJFRgYdBQAa3IF05R0v6VH//qOSJoTMf8x5PpHUxsw6SRotaYFzbrtzLkfSAkljDuD4AAAAzZJzTkVZWYrj90sBtBC1LUydpDfNbLGZTfXnHeyc2yBJ/r8d/PldJK0N2Tbbn1fdfAAAAIQo27BBFbm5XF8KoMWo7ai8w51z682sg6QFZpZVw7p7+6EeV8P8PTf2Ct+pktStW7daxgMAAGg+irK8j1qxtJgCaCFq1WLqnFvv/7tZ0ovyrhHd5HfRlf/vZn/1bEldQzZPlbS+hvlVj/Wgc26Ic25I+/bt63Y2AAAAzUBRZqZkprhevYKOAqCWVq9erQEDBuwx74YbbtBdd92l8847T88995wkafv27Ro8eLBmzpwZRMywtc/C1MwSzCyp8r6kn0r6WtI8SZUj654raa5/f56kKf7ovMMk5fpdfd+Q9FMza+sPevRTfx4AAABCFGdlKaZ7d0UkJAQdBUA9ys3N1ejRozV16lSdf/75QccJK7XpynuwpBfNrHL92c65183sc0nPmNmFkn6QdIa//quSTpG0QlKBpPMlyTm33cz+JOlzf72bnHPb6+1MAAAAmomizCzFDRyw7xUBNBn5+fk6+eSTdfbZZ+tXv/pV0HHCzj4LU+fcSkmD9jJ/m6QT9zLfSZpWzb4ekfRI3WMCAAC0DOV5eSrNzlabM87Y98oAfuSOz+5Q1vaahsSpuz4H9dHVQ68+oH1cfvnluuiii3TZZZfVU6rm5UB+LgYAAAD1rPi77ySJEXmBJsbvYVrt/BNOOEFz587V5s2b97peS1fbUXkBAADQCIoyGZEXOBAH2rK5v1JSUpSTk7PHvO3btys9PV2SdOaZZ2rEiBE65ZRT9M477ygpKSmImGGLFlMAAIAwUpSVpciUFEXx6wRAk5KYmKhOnTrpP//5jySvKH399dc1YsSI3ev87ne/04knnqiJEyeqpKQkqKhhicIUAAAgjBRlZSquT59quwUCCF+PPfaYbr75ZmVkZOiEE07Q9ddfr0MOOWSPde644w517dpVkydPVkVFRUBJww9deQEAAMKEKylRyfIVSjx3StBRAOyHfv366Z133vnR/FmzZu0xzW+Y/hgtpgAAAGGieNUqudJSxfbpG3QUAGhUFKYAAABhoigzUxIj8gJoeShMAQAAwkRxZpYsLk4xaWlBRwGARkVhCgAAECaKsrIU27uXLDIy6CgA0KgoTAEAAMKAc05FWVmK4/pSAC0QhSkAAEAYKNuwQRW5uVxfCqBFojAFAAAIA0VZWZKkuD4UpkBTFBkZqYyMjN2322+/XZL08ssva/DgwRo0aJD69eunBx54IOCk4YnfMQUAAAgDRd9mSmaK7dUr6CgA9kN8fLyWLFmyx7zS0lJNnTpVn332mVJTU1VcXKzVq1cHEzDM0WIKAAAQBoqyMhWTlqaIVq2CjgKgnuzcuVNlZWVKSUmRJMXGxqp3794BpwpPtJgCAACEgeLMLMUPOizoGECTt/HWW1WcmVWv+4zt20cdr7mmxnUKCwuVkZGxe3rGjBmaNGmSxo0bp+7du+vEE0/U2LFjddZZZykigvbBqihMAQAAAlael6fSdevUZtKkoKMA2E9768orSQ899JD++9//6q233tJdd92lBQsWaNasWY0fMMxRmAIAAARs98BHjMgLHLB9tWwGYeDAgRo4cKAmT56s9PR0CtO9oA0ZAAAgYMWMyAs0S/n5+Vq4cOHu6SVLlqh79+7BBQpjtJgCAAAErCgzS5Ht2imqffugowDYT1WvMR0zZoyuvfZa/fnPf9bFF1+s+Ph4JSQk0FpaDQpTAACAgBVlZdFaCjRx5eXle53/6quvNnKSpomuvAAAAAFyJSUqXrGC60sBtGgUpgAAAAEqXrlSKi1VLC2mAFowClMAAIAAFWVWjsjbN+AkABAcClMAAIAAFWdlyuLiFMNInQBaMApTAACAABVlZim2d8DWigoAACAASURBVC9ZZGTQUQAgMBSmAAAAAXHO+SPy0o0XQMtGYQoAABCQsvXrVZGXx4i8QDOQmJgoSVq9erXi4+OVkZGx+/bYY48FnC788TumAAAAASnK8gc+YkReoFk55JBDtGTJkqBjNCm0mAIAAASkKDNLMlNsr15BRwGAQNFiCgAAEJCirEzFpKUpolWroKMAzcb7zyzT1rX59brPdl0TNfIXtf8C6fvvv1dGRsbu6b///e8aOXJkvWZqbihMAQAAAlKcmaX4QYcFHQNAPaMrb91RmAIAAASgPC9PpevWqc2kSUFHAZqVurRsInxwjSkAAEAAdg98xIi8AEBhCgAAEIRiRuQFmq3Ka0wrb/fee2/QkcIeXXkBAAACUJSZpch27RTVvn3QUQDUg/x8b8CltLQ0FRYWBpym6aHFFAAAIABFWVm0lgKAj8IUAACgkbmSEhWvWKG4vn2DjgIAYYHCFAAAoJEVr1wplZYy8BEA+ChMAQAAGllRpjfwUWwfWkwBQKIwBQAAaHTFWZmy+HjFdO8WdBQACAsUpgAAAI2s6NtMxfXqJYuMDDoKAIQFClMAAIBG5JxTUVaWYrm+FGhWIiMj9/jt0tWrV2vhwoVKTk7W4MGD1adPH/3+978POmbY4ndMAQAAGlHpuvWq2LlTcVxfCjQr8fHxWrJkyR7zVq9erZEjR+rll19WYWGhBg8erIkTJ2r48OEBpQxftJgCAAA0ouKsTEliRF6ghYmPj1dGRobWrVsXdJSwRIspAABAIyrKzJIiIhTbq1fQUYBm6Z1ZD2rzmpX1us8O3Xvo+POm1rhOYWGhMjIyJEnp6el68cUX91iek5Oj5cuX69hjj63XbM0FhSkAAEAjKsrKUkxamiLi44OOAqAe7a0rryS9//77Ouyww/Tdd99p+vTp6tixYwDpwh+FKQAAQCMqzsxUvN+qAqD+7atls7FVXmO6bNkyjRgxQhMnTtzdsor/4RpTAACARlKem6vS9esZkRdogXr16qUZM2bojjvuCDpKWKIwBQAAaCRFWd9JEiPyAi3UJZdcovfee0+rVq0KOkrYoSsvAABAI2FEXqD5ys/P/9G8UaNGadSoUbun4+PjGZW3GrSYAgAANJKizCxFtm+nqHbtgo4CAGGFwhQAAKCRFGVl0Y0XAPaCwhQAAKARuJISFX//veL60I0XAKqiMAUAAGgExd9/L5WWcn0p0ECcc0FHOCBNPf+BojAFAABoBEWZWZKkWLryAvUuLi5O27Zta7LFnXNO27ZtU1xcXNBRAsOovAAAAI2gKCtTFh+vmO7dgo4CNDupqanKzs7Wli1bgo6y3+Li4pSamhp0jMBQmAIAADSC4swsxfXqJYuMDDoK0OxER0crPT096Bg4AHTlBQAAaGDOORVlZSmW60sBYK8oTAEAABpY6br1qti5k5+KAYBqUJgCAAA0sOKsTEliRF4AqAaFKQAAQAMrysySIiIU26tX0FEAICxRmAIAADSwoqwsxaSlKSI+PugoABCWKEwBAAAaWHFmpuL60I0XAKpDYQoAANCAynNzVbp+PSPyAkANKEwBAAAaUFHWd5KkuL79Ak4CAOGLwhQAAKAB7R6Rt0/vgJMAQPiiMAUAAGhARZlZimrfXlHt2gUdBQDCFoUpAABAAyrKyuL6UgDYBwpTAACABuJKSlT8/feK69M36CgAENYoTAEAABpI8YoVUmmp4mgxBYAaUZgCAAA0kKLMLElSLL9hCgA1igo6AAAAQH0r/v57laxdG3QM5S9cKGvVSjHdugUdBQDCGoUpAABoNiqKi7Xl3nu1feYsqaIi6DiSpFZHHSWLjAw6BgCENQpTAADQLBR+/Y3WT79aJSu+V5szzlCbM06XzIKOpZju3YOOAABhr9aFqZlFSlokaZ1zbqyZpUuaI+kgSV9ImuycKzGzWEmPSTpC0jZJk5xzq/19zJB0oaRySb91zr1RnycDAABaHldSoq33P6CtDzygqJQUdX3wASUee2zQsQAAdVCXwY/+n6TMkOk7JN3tnOspKUdewSn/3xzn3KGS7vbXk5n1k3SmpP6Sxkj6p1/sAgAA7Jei75Zp1Zlnaus//6nksaeqx/x5FKUA0ATVqjA1s1RJp0p6yJ82SSdIes5f5VFJE/z74/1p+ctP9NcfL2mOc67YObdK0gpJQ+vjJAAAQMviysq09YEHter001W2abNS/3GfOt9xhyKTk4OOBgDYD7XtynuPpKskJfnTKZJ2OOfK/OlsSV38+10krZUk51yZmeX663eR9EnIPkO3AQAAqJXilau0fsZ0FX21VEljxqjj9X9UVNu2QccCAByAfRamZjZW0mbn3GIzG1U5ey+run0sq2mb0ONNlTRVkroxtDoAAPC5igptf+wxbbn7HkXExanLX/+i1qecEnQsAEA9qE2L6XBJ48zsFElxklrLa0FtY2ZRfqtpqqT1/vrZkrpKyjazKEnJkraHzK8Uus1uzrkHJT0oSUOGDPlR4QoAAFqekrVrtWHGNSpYtEiJxx+vTjfdqKj27YOOBQCoJ/u8xtQ5N8M5l+qcS5M3eNHbzrlzJL0j6XR/tXMlzfXvz/On5S9/2znn/PlnmlmsP6JvT0mf1duZAACAZsc5p5w5c7Ry/AQVffedOt12m1L/+Q+KUgBoZg7kd0yvljTHzG6W9KWkh/35D0t63MxWyGspPVOSnHPfmNkzkr6VVCZpmnOu/ACODwAAmrHSDRu04drrtOujj5QwfLg63XKzojt2DDoWAKABmNeYGZ6GDBniFi1aFHQMAADQiJxzyn3xJW269Va5igodfNVVajPpF/IG+QeAlsXMFjvnhgSdo6EdSIspAABAvXLOad3ll2vna6+r1ZFHqtOttyima9d9bwgAaNIoTAEAQNgoXLxYO197XSkXX6z2/++3soha/eQ6AKCJ490eAACEjZzZTymidWu1u+RiilIAaEF4xwcAAGGhbMsW5S1YoDYTJyoiPj7oOACARkRhCgAAwsKO55+XSkvV5sxJQUcBADQyClMAABA4V1amnDlPK+GYYxSbnh50HABAI6MwBQAAgctfuFBlGzeq7dlnBR0FABAAClMAABC4nNlPKapTJyWOGhV0FABAAChMAQBAoIpXrdKujz5S20m/kEXxS3YA0BJRmAIAgEDtmPO0FB2tNj//edBRAAABoTAFAACBqSgs1I4XX1Trk05SVPv2QccBAASEwhQAAAQm75VXVJGXx6BHANDCUZgCAIBAOOe0ffZsxfbsqfgjjgg6DgAgQBSmAAAgEEVLl6r420y1PfssmVnQcQAAAaIwBQAAgciZ/ZQiEhLU+rRxQUcBAASMwhQAADS6spwc5b32mpLHj1dkYkLQcQAAAaMwBQAAjS73hRfkSkrU9qwzg44CAAgDFKYAAKBRufJy5Tw1R62OPFKxPXsGHQcAEAaigg4AAADqzpWVqXznTlXk56s8L08WFaW43r2DjlUruz74QKXZ2epwxeVBRwEAhAkKUwBAi+TKylT07bdyZeVBR5EqylWen6+KnTu9YnNnvip25ql8Z+i8kH/z8+UKCn60m4OvmaGDpkwJ4ATqJmf2U4ps305JJ54YdBQAQJigMAUAtDgVhYXKnjZNuz76OOgo1bLoaEW0bq3IxERFJCUpsnWSojp0UERSoiKTWof8m6TIpETlzHlam//yVyWMHKnY9PSg41erJDtb+e+9p3a/ukQWExN0HABAmKAwBQC0KBUFBVp76TQVfPqpOlx9dVhc42gRpojEREUkegVoRFKSImJj67SPuMMO08rTxmnDjGvU/cknZJGRDZT2wOx4+mkpIkJtfvGLoKMAAMIIhSkAoMWo2LVLay/5lQoWL1bnO25X8rjm8/uZ0R06qON112n9lVdq+8yZSrnooqAj/UhFcbF2PPuckk44QdEdOwYdBwAQRhiVFwDQIpTn79IPUy9WwRdfqPOdf25WRWml1mNPVdJJP9GWv92r4uXLg47zIztff13lO3ao7dlnBR0FABBmKEwBAM1eeX6+1l50kQqXLFGXv9yl5FNPDTpSgzAzdbzhBkUkJmr99BlypaVBR9pDzuynFJOerlbDhgUdBQAQZihMAQDNWvnOnfrhwgtV+PXX6vLXv6r1mDFBR2pQUSkp6nj9H1X0zTfa9tBDQcfZrfCbb1T41Vdqe9aZMrOg4wAAwgyFKQCg2SrPzdUPF1yoom8zlfq3e9R69E+DjtQoWo8Zo9annKwt//yXirKygo4jSdoxZ44sLk7JEyYEHQUAEIYoTAEAzVL5jh364fwLVJyVpdR7/9bifjPz4D/8QZHJyV6X3pKSQLOU5+Upd/7LSj5trCJbtw40CwAgPFGYAgCanbKcHK05/wIVr1ih1Pv+rqTjjw86UqOLattWnW68QcVZWdp6//2BZsl98UW5oiK1PYtBjwAAe0dhCgBoVsq2b9cP552vku+/V+o//qHE444LOlJgkk48Ucnjx2nrAw+q8L9fB5LBVVQoZ/ZTis/IUFy/foFkAACEPwpTAECzUbZ1q34491yVrF6trvf/S4kjRwQdKXAHX3ONolJStH7GdFUUFzf68Qs++UQla9bwEzEAgBpRmAIAmoWyLVu05tzzVLI2W10fuF8JxxwTdKSwEJmcrE43/0klK77X1vvua/Tj5zz1lCLbtlXS6NGNfmwAQNNBYQoAaPJKN23WminnqnTDBnV98AEl8DuZe0g89lgln/5zbXv4ERUuWdJoxy3duFE7//O22pz+c0XExjbacQEATQ+FKQCgSSvdtEk/TJmisk2b1O3BB5QwdGjQkcLSwdOnK6rjwVo/fYYqCgsb5Zg7nnlGck5tJk1qlOMBAJouClMAQJNVumGD1kyeorKtW9X1oYfUasiQoCOFrcjERHW+5RaVrF6tLff8rcGP50pKlPPMs0o89ljFpKY2+PEAAE0bhSkAoEkqXbdOayZPUfn27er28ENqdfjgoCOFvYSjj1bbs8/S9sceU8GiRQ16rJ1vvaXyrVsZ9AgAUCsUpgCAJqckO1trppyr8rw8dZv5iOIzMoKO1GR0uOIKRaemav2Ma1Sxa1eDHSdn9lOKTk1VwsiRDXYMAEDzQWEKAGhSir77TmvOOlvl+fnq9sgjih84MOhITUpEQoI633qLSrOztfkvf2mQYxQtW6aCRYvU9qwzZRF81AAA7Bv/WwAAmoxdn32mNf83WYqIUNoTjyt+QP+gIzVJrY48UgdNmayc2U9p18cf1/v+d8yZI4uJUfLPflbv+wYANE8UpgCAJiHvzTe19qJfKqpDB6U9NVuxPXsGHalJa/+73ymme3etv/Zalefn19t+y/PzlfvSXLU++WRFtW1bb/sFADRvFKYAgLCXM2eO1v3uMsX17avuTzyu6M6dg47U5EXEx6vT7bepbOMmbb7jjnrbb+68eaooKGDQIwBAnVCYAgDClnNOW+77hzbecKMSR45Ut1kzaYWrR60GD1bKBedrx7PPKf/99/d7P+V5eSr86ivteOklbX/0UcX166e4ww6rx6QAgOYuKugAAADsjSsv18ab/qQdTz+t5IkT1emmG2XR0UHHanba/eY32rlwoTZc9wf1mD9Pka1b73U9V1qqkuxslaxarZJVq1SyepWKV61SyarVKt+2bfd6FhOjg++5W2bWWKcAAGgGKEwBAGGnorhY639/pXYuWKCUqVPV/rLfUeg0kIjYWHW+7XatPvNMbbrlVnW4+iqv8Fz1v8KzZNUqlaxdK5WV7d4u8qCDFJOersTjRyk2PV0x6emKSUtXTNdUvkAAANQZhSkAIKyU5+Up+9JpKli0SAdfM0MHTZkSdKRmL37gAKVM/aW2/et+5c6du3u+RUcrJq27Yg89VEknnaSY9HTFpqcpJj1dkcnJwQUGADQ7FKYAgLBRummz1v7ylypetUqd/3KXkk89NehILUb7X/1KFh2tiFatvBbQHj0U3bmzLDIy6GgAgBaAwhQAEBaKV67S2osuUvmOHer2wP1KOOaYoCO1KBYTo/aXXhp0DABAC0VhCgAIXOHSpVo79WIpMlLdHntM8QP6Bx0JAAA0In4uBgAQqPz339eac89TRFKS0mY/SVEKAEALRGEKAAhM7ty5WvurSxWTlqa02U8qpnv3oCMBAIAAUJgCAAKx7eFHtP7q6Wo1ZIi6P/6Yotq3DzoSAAAICNeYAgAalauo0OY779L2mTOVdPIYdb7jDkXExAQdCwAABIjCFADQaEo3bdbGG29U/ttvq+055+jga6+RRdB5BwCAlo7CFADQ4FxFhXY8+5w233mnXGmpDp4xXW2nTJGZBR0NAACEAQpTAECDKl61Shv/eL0KPv9crYYNU6cbb2CQIwAAsAcKUwBAg3Clpdr2yExt/cc/ZHFx6nTLzUr+2c9oJQUAAD9CYQoAqHeF//1aG/7wBxVnZSlp9GgdfO01iu7QIehYAAAgTFGYAgDqTUVBgbb8/T5tf/RRRaWkKPW+vyvpJz8JOhYAAAhzFKYAgHqx66OPtOGP16s0O1ttJk1ShysuV2Tr1kHHAgAATQCFKQDggJTv2KFNf75TuS+8oJju3dXtsUeVMHRo0LEAAEATQmEKANgvzjntfP11bbz5FpXv2KGUqVPVbtqlioiNDToaAABoYihMAQB1VrpxozbeeJPy33lHcf37q9vDDymuT5+gYwEAgCaKwhQAUGuuokI7nn5am+/6i1x5uTpcdZUOmjJZFsV/JwAAYP/xSQIAUGsbb7pJO+Y8rYRjjlbHG29UTNeuQUcCAADNAIUpAKBWyvPylPvCi0qeOFGdbr1FZhZ0JAAA0ExEBB0AANA05L3xhlxJidqefRZFKQAAqFcUpgCAWsmbO08x6emKGzAg6CgAAKCZoTAFAOxTSfY6FSxapOTx42gtBQAA9Y7CFACwT3nz50mSkk87LeAkAACgOaIwBQDUyDmn3Lnz1OrIIxXdpUvQcQAAQDNEYQoAqFHR0qUqWb1ayRPGBx0FAAA0UxSmAIAa5c6dJ4uNVdLo0UFHAQAAzRSFKQCgWq6kRHmvvKKkE09UZGJi0HEAAEAzRWEKAKhW/vvvqzw3V8njxwUdBQAANGMUpgCAauW+NFeRKSlKGD486CgAAKAZ22dhamZxZvaZmX1lZt+Y2Y3+/HQz+9TMlpvZ02YW48+P9adX+MvTQvY1w5//nZlxsRIAhLHyHTuUv3ChkseeKouKCjoOAABoxmrTYlos6QTn3CBJGZLGmNkwSXdIuts511NSjqQL/fUvlJTjnDtU0t3+ejKzfpLOlNRf0hhJ/zSzyPo8GQBA/cl7/XW50lIlj2c0XgAA0LD2WZg6T74/Ge3fnKQTJD3nz39U0gT//nh/Wv7yE83M/PlznHPFzrlVklZIGlovZwEAqHe5c+cptuehiu3bN+goAACgmavVNaZmFmlmSyRtlrRA0veSdjjnyvxVsiVV/up6F0lrJclfnispJXT+XrYJPdZUM1tkZou2bNlS9zMCABywkjVrVPjll0oeP17ed4sAAAANp1aFqXOu3DmXISlVXivn3r4+d/6/e/sE42qYX/VYDzrnhjjnhrRv37428QAA9Sx33nzJTK3Hjg06CgAAaAHqNCqvc26HpIWShklqY2aVo2GkSlrv38+W1FWS/OXJkraHzt/LNgCAMOGcU+68eWo17ChFd+wYdBwAANAC1GZU3vZm1sa/Hy/pJ5IyJb0j6XR/tXMlzfXvz/On5S9/2znn/Pln+qP2pkvqKemz+joRAED9KPzyS5WuXcugR0Az4pyT93EMAMJTbVpMO0l6x8yWSvpc0gLn3MuSrpZ0uZmtkHcN6cP++g9LSvHnXy5puiQ5576R9IykbyW9Lmmac668Pk8GAHDgcl+aK4uPV+uTTgo6CoB68uHTj2vmZZeoooKPXgDC0z5/mM45t1TS4L3MX6m9jKrrnCuSdEY1+7pF0i11jwkAaAwVxcXKe/11JZ30E0UkJAQdB0A9KMjL1eJX5qqspFjrv8tUat8BQUcCgB+p0zWmAIDmLX/hu6rIy1PyOLrxAs3FF6/OU1lpiSKjorTs0w+DjgMAe0VhCgDYLXfuXEW1b6+Eo4cFHQVAPSgu2KUlb7ysnkOPVvrgIVr+6UdyFRVBxwKAH6EwBQBIkspycpT/3ntqfdppssjIoOMAqAdL3nxVxQW7dNSEX6jXUcOVv32b1i//LuhYAPAjFKYAAElS3iuvSmVljMYLNBOlxUVa/MpLSht0uA7ucah6HDFUkVFRWv7pB0FHA4AfoTAFAEiScufNU2yfPorr3SvoKADqwdfvLFBhXq6OmvALSVJsqwR1H3S4ln3yET8dAyDsUJgCAFS8cpWKli6ltRRoJsrLyvT5/BfUuXc/denbf/f8XkcN185tW7RxxbIA0wHAj1GYAgCUO2+uFBGh1qeeEnQUAPUg68N3tXPrFh018QyZ2e75hww5ShGRjM4LIPxQmAJAC+cqKpQ7b54Shg9XdIcOQccBcIAqKsr16UvPqn33dKVnDNljWVxCoroflqFln3xId14AYYXCFABauIJFi1S2foOSx40LOgqAerDi80+Usz5bQyfs2VpaqddRw5W3ZZM2r/o+gHQAsHcUpgDQwuXOnauIVq2U9JMTg44C4AA55/Tpi8+oTcdO6jVs+F7XOeTIYYqIjNR3nzA6L4DwQWEKAC1YRVGRdr7+hpJGj1ZEfHzQcQAcoDVffaHNq77X0PFnKCJi779HHJ+YpK79D9NyuvMCCCMUpgDQgu38z39UsWuXksfTjRdoDj596VklprRTv2OPr3G9XsNGaMemDdqyZlUjJQOAmlGYAkALljtvnqI6dVKroUODjgLgAGVnfaPszK915NiJioyKrnHdQ48cJouI0DK68wIIExSmANBClW3dql0ffKjksWNlEfx3ADR1n730rOKTWmvgCaP3uW6r1snq2m+gln3yAd15AYQFPokAQAuV98orUnk53XiBZmDz6pVa9eUiHX7KeEXHxdVqm17DRihnw3ptXbumgdMBwL5RmAJAC7Vj7lzF9e+v2EMPDToKgAP02UvPKiY+XhmjT631NoceOUxmEVr2yYcNmAwAaofCFABaoOLly1X8baaSx48POgqAA7R9/Tp998kHyvjpqYpLSKz1dglt2iq1b3+uMwUQFihMAaAFyp03T4qMVOtTTwk6CoAD9Pm85xUVFa3DT6n7F009hw3X9nVrtS37hwZIBgC1R2EKAC2MKy9X7rz5Shw5UlEpKUHHAXAA8rZu0bfvva0BJ5ykhDZt67x9z6HHSGZ05wUQOApTAGhhCj77TGWbNjHoEdAMLH75RUlOR5728/3aPrHtQerSux/deQEEjsIUAFqY3JfmKiIpSYnHHx90FAAHoCAvV0v/84b6jhil1u077Pd+eg0brq1r12jburX1mA4A6obCFABakIqCAuUtWKDWY0YropY/KQEgPH3x6jyVlZboyHGnH9B+eg49RpK0/NOP6iMWAOwXClMAaEF2vvWWXEGBksfRjRdoyooLdmnJGy+r59CjlZLa9YD2lZTSTp179dWyT7nOFEBwKEwBoAXJnTtP0V26KP6II4KOAuAALHnzVRUX7NJRE35RL/vrNWy4tqxeqZyN6+tlfwBQVxSmANBClG7arF0ff6zW406TRfD2DzRVpSXF+uLVuUobdLgO7nFoveyz51Fed15G5wUQFD6ZAEALkffyy1JFBd14gSbu63cWqCB3R721lkpS63Yd1OnQ3lpOd14AAaEwBYAWoKKgQDlPPaX4QYMUm54edBwA+6m8rEyfz3tenXv3U5e+/et13z2HDdemlSu0Y9PGet0vANQGhSkAtACb77lHpdnZ6vD7K4KOAuAAZH34rnZu3aKjJpwhM6vXffc6qnJ0XlpNATQ+ClMAaOYKFi9WzuNPqO0556jVkUcGHQfAfqqoKNenLz2r9t3SlD54SL3vP7lDRx3c41BG5wUQCApTAGjGKgoLteGaaxXdpYs6XH5Z0HEAHIAVn3+inPXZGjrxF/XeWlqp17AR2rhimfK2bG6Q/QNAdShMAaAZ23Lv31WyZo063fwnRSQkBB0HwH5yzunTF59Rm46d1GvY8AY7zu7ReWk1BdDIKEwBoJkq+PJLbX/0UbU5c5IShg0LOg6AA7Dmqy+0edX3Gjr+DEVERDbYcdp27Kz2aT0oTAE0OgpTAGiGKoqLteHa6xTV8WB1+P2VQccBcIA+felZJaa0U79jj2/wY/UeNkIblmVp57b/z959h0dVJmwc/p2Z9F5IDz0JPRSDgAiKIFVFisq6C5Z1LfvZVl1X7L3v2l1FdNF1rYAKClIEBFGR0KuEEkglvffM+f6YGEHpJJyU576uuWZy5uTMM1k3zJP3nPfNafTXEhH5hYqpiEgLlPPqq1Tt3UvEY49h99EpvCLNWerObaTu2Er/iyZgd3Ft9NeLHeA8Vbipz85rt9vp06dP/S05OZkVK1bg7+9P37596dq1K3fddddxj5OSksKwYcPo1q0bPXr04KWXXvrdPs8//zyGYZCTc3hZX7t2LXa7ndmzZwOwceNGBg0aRI8ePYiPj+fjjz9umDcr0gq4WB1AREQaVvmWLeS+/Q4Bl03GZ3DjXYsmImfG2nlz8PD1o9cFo87I6wVFRtGmXQd2rVlNv7Hjz8hrngpPT082btx42Lbk5GSGDBnCl19+SXl5OX379mXChAkMPsbvQhcXF/75z3/Sr18/iouLOeuss7jwwgvp3r074CyuS5YsoV27dod9X21tLf/4xz8YNerX/128vLx47733iI2NJT09nbPOOotRo0YREBDQgO9cpGXSiKmISAviqKoiffp0XEJDCb37bqvjiMhpKsjMYO/6tfS5cAyuHh5n7HXjBgwm7ecdlOTlnrHXbGienp706dOHtLS0Y+4XERFBv379APD19aVbt26Hfc/f/vY38cJ+ZAAAIABJREFUnn322d/NhPzKK68wadIkQkND67fFxcURGxsLQGRkJKGhoWRnZzfUWxJp0VRMRURakJzXX6dq9x4iHn0Eu6+v1XFE5DRt+Ho+NpuN3heOPaOvGzfwXDBNkn76/oy+7skoLy+vP413woQJv3s+Pz+fpKQkhg4dCkBiYiLXXXfdMY+ZnJzMhg0bGDBgAADz5s0jKiqK3r17H7ZfWloan332GTfeeONRj/XTTz9RVVVF586dT/atibRKOpVXRKSFKN+2jdy3ZuI/YQI+dR/ERKT5qiwrY+uKJcQNPBefoOAz+trB0W0Jjm7HrjWr6Tv64jP62ifqSKfyAqxatYr4+Hh+/vln7rnnHsLDwwFISEhg5syZRz1eSUkJkyZN4sUXX8TPz4+ysjKeeOIJFi9e/Lt9b7/9dp555hns9iPPkJyRkcHUqVN59913sdk0DiRyIlRMRURaALOqiozp9+ISFETYPf+wOo6INIBt3y6lqrycfmMvseT1YwcM5se5H1FakI93QKAlGU7FL9eY7tq1i3PPPZcJEybQp0+fY35PdXU1kyZN4o9//CMTJ04EYM+ePezbt69+tDQ1NZV+/frx008/kZiYyJQpUwDIyclhwYIFuLi4cOmll1JUVMS4ceN4/PHHGailukROmP6EIyLSAuS8OYPKXbsIf+QR7P7+VscRkdNkOhxs+Ho+EbFdiIjpYkmGLgMHg2mye+0PDXZMh6OW1B1bG+x4xxIXF8f06dN55plnjrmfaZr8+c9/plu3btxxxx3123v16kVWVhbJyckkJycTHR3N+vXrCQ8PZ9++ffXbJ0+ezOuvv86ll15KVVUVEyZMYNq0aVx22WWN/RZFWhQVUxGRZq5i505y3nwTv0suxveCxl/jUEQa394NiRRkZlg6K25w2/YERkaz68fvGuR4aTu387/pd/DxI9PJTUtpkGMez4033sjKlSvZt2/fUa8xXb16Nf/9739ZtmxZ/TWrCxYsOKXX++STT1i5ciWzZs2qP9aRTjcWkd8zTNO0OsNRJSQkmImJiVbHEBFpsszqavZdfgU12dl0/nI+di1JINIifPr4/eSlpXDdK29jd7HuyqvvPvovP33+KTfO+C9efqd2NkZxXg6r/jeLHd+twCe4Def96Vq6DBryu1luReTIDMNYZ5pmgtU5GpuuMRURacZyZ86kcscOol55WaVUpIXISdnPgS0bOXfKNEtLKUDcwMGs+exjdq/9gfjho0/qe2uqq1n31eesmfsxDkctAydewdnjLzujy96ISPOhYioi0kxV7NpF9uv/xm/sWPwuvNDqOCLSQDYsnI+LqxvxI06uCDaGkPYdCQiPYNePq0+qmO5Z9xMr3n2LgoMZxPQfyHlTryMgLLwRk4pIc6diKiLSDJk1NWRMvxe7ry9hD9xvdRwRaSDlxUVsX7mMbkPOx9PXz+o4GIZB3IDBrJ0/l/LiouNmyktPY8W7M9i3cR1BkdFMuvdROvTud4bSikhzpmIqItIM5b7zHyq2bSPqxRdwCWw+yziIyLFt/mYRNdVV9B1jzRIxRxI38Fx++mI2uxN/pNewkUfcp7KsjB/nfsT6BfNwcXPj/GnX0WfURZafiiwizYd+W4iINDOVu3eT88or+I4ahd9o60/1E5GGUVtTw8bFX9GuZzwh7TpYHadeaMfO+IeGkfTj6t8VU9PhYPuq5az6YBalBfn0HHYh506Z1qzWPRWRpkHFVESkGTFra0m/7z5s3t6EP/iA1XFEpAHtXvsDJbk5DL/2JqujHMYwDGIHDGb9gnlUlJTg4eMDQOaeJJb95w0ykn4mIqYL4/9+v2VrropI86diKiLSjOTNepeKTZuJfP55XIKDrY4jIg1o/YJ5+IeF06lf01sVIm7gYBLnz2XPujV07HMWqz58j60rluDl58/ov/6N7kOGYdhsVscUkWZMxVREpJmo3LuP7JdfxmfEcPzGjbU6jog0oMw9SaTv2sH50/6CzWa3Os7vhHeOw7dNCD/O/Yjls2ZQXVlBwkUTGDhxCu5eXlbHE5EWQMVURKQZMGtrybjvPgwPDyIeekgL04u0MOsXzsPVw5Oew0ZYHeWIDMOgy6AhJM6fS4fe/Tj/qr8QHNXW6lgi0oKomIqIHIVpmpR+t5ra/Dyro1C+dSvlGzYQ+czTuISEWB1HRBpQSX4eP3+/it4XjsHdy9vqOEd1zmVX0vWcoYR27Kw/jolIg1MxFRE5gvItWzn4xBOUb9xodZR6vheOwO+SprOEhIg0jE1LFuJw1NJ39EVWRzkmV3cPwjrFWB1DRFooFVMRkUPU5OaS9cILFM6Ziz0oiIjHH8Orf3+rY4Fh4BodrVEKkRamprqazUsX0qlvAoERUVbHERGxjIqpiAhgVleT97//kfPqazgqKgi6+mra/PUm7L6+VkcTkRbs5+9XUlZYQN8xOhtCRFo3FVMRafVKVn3HwaeeomrvXryHDCFs+nTcO3W0OpaItHCmabJ+wTyCo9vRvlcfq+OIiFhKxVREWq2q/fs5+PQzlCxfjmv7dkT/+3V8zj9fp8uKyBmRtnMbWcl7GHHd/+n3joi0eiqmItLqOEpLyXnjTfJmzcJwdSX0rjsJnDYNm5ub1dFEpBVZv3AeHt4+dB86zOooIiKWUzEVkVbDNE2K5s8n67nnqcnOxn/8eELuvAPX0FCro4lIK1OUncXun34k4eIJuLp7WB1HRMRyKqYi0iocuvyLR69eRL/6Cp69e1sdS0RaqQ2LvgQD+owaZ3UUEZEmQcVURFq0mpwc5/Ivcz/DHhxMxJNP4n/peAybzepoItJKVVdUsGXZImL7D8Kvjc7YEBEBFVMRaWEcFRVUp2dQnZ5OxdYt5M58G0dlJUHXXONc/sXHx+qIItLKbV+1jMrSUvqO1RIxIiK/UDEVkWaltriY6vR0qtPSnfe/3NLSqE5PpzY397D9vYfWLf/SUcu/iIj1TNNk/cL5hHWKIapLd6vjiIg0GSqmItLkOKqqKF21iqrk/YeXz/R0HMXFh+1ruLvjGhGBa2QkHhcMwzUy8tdbdDSuEREWvQsRkd/bv3kDeWkpjPm/O7REjIjIIVRMRaTJqC0ppeCTT8ibNYuarCwAbL6+9UXTKyHB+Tjq1/JpDw7WhzsRaTbWL5yHl38AcYOGWB1FRKRJUTEVEcvV5OWR//775P3vAxyFhXgNGkjEE4/j2acPdl9fq+OJiDSIvPQ09m1IZNDkK3FxdbU6johIk6JiKiKWqU5LI/c/syiYPRuzshLfESMI/st1eMbHWx1NRKTBbfh6PnYXF3pfOMbqKCIiTY6KqYiccZVJSeTOnEnhl1+BzYb/JRcT/Oc/496pk9XRREQaRWVZKdu+/YYu5wzFOyDQ6jgiIk2OiqmInDFlGzaQ+9ZMSpYtw/DyIuhPfyLo6qs0QZGItHhbly+huqKcfmO0RIyIyJGomIpIozJNk9JVq8id8RZliYnYAwJoc8vNBF55JS6BGjUQkZbP4ahlw9fzieranbBOMVbHERFpklRMRaRRmDU1FC1aRO5bM6ncuROXiAjC7r2XgMmTsHl5WR1PROSM2btuLYVZBxn6x2usjiIi0mSpmIpIg6otLqboyy/Jfec/VKek4Na5MxFPPYX/uLEYbm5WxxMROePWL5yHb5sQYvoPsjqKiEiTpWIqIqetJj+fkmXLKVq8iNLvf4Dqajx6xxN2zz/wGTYMw2azOqKIiCWy9+8jZdtmhlx5NTa73eo4IiJNloqpiJySmtxcipd+Q/GiRZSuWQO1tbhGRRE0dSp+o0biER+PYRhWxxQRsYTDUcv+zRv5Yc6HuLi502v4KKsjiYg0acctpoZhtAXeA8IBBzDDNM2XDMMIAj4GOgDJwOWmaeYbzk+iLwFjgTLgatM019cd6yrg/rpDP26a5rsN+3ZEpDFVH8yieOkSihctpiwxERwOXNu3I/jaa/EdNQqPHt1VRkWkVSvMOsjWFUvZtmIpxbnZePr6Meyqv+Dp42t1NBGRJu1ERkxrgDtN01xvGIYvsM4wjCXA1cA3pmk+bRjGPcA9wD+AMUBs3W0A8G9gQF2RfQhIAMy648wzTTO/od+UiDSc6owMihcvpmjxEsrXrwfTxK1TJ9rceAO+o0bhHhenMioirVpNdTV7En9ky7LF7N+yEYAO8X05b+qf6ZwwABdXV4sTiog0fcctpqZpZgAZdY+LDcPYAUQB44Hz63Z7F1iBs5iOB94zTdMEfjQMI8AwjIi6fZeYppkHUFduRwMfNuD7EZEGUJWaSvGixRQtXkTFps0AuHfpQpub/w+/UaNwj9FyByIiOQeS2bJ8CdtXLaeiuAjfNiEMmvQHep4/Ar+QUKvjiYg0Kyd1jalhGB2AvsAaIKyutGKaZoZhGL/8Bo4CUg75ttS6bUfb/tvXuB64HqBdu3YnE09ETlPFzp1k3Hc/Fdu2AeDRvTshf/sbviMvxL1jR4vTiYhYr6q8jJ3fr2TrsiVk7P4Zm92FmP4D6XXBSNr16o3NpgmOREROxQkXU8MwfIA5wO2maRYd49S9Iz1hHmP74RtMcwYwAyAhIeF3z4tI46jJzSXlpr9CTQ2hf78L35EjcWvb1upYIiKWM02T9F072bJsEbt++I7qygqCo9tx/rTr6DZkGF5+/lZHFBFp9k6omBqG4YqzlP7PNM25dZsPGoYRUTdaGgFk1W1PBQ79NBsNpNdtP/8321ecenQRaShmdTVpt91ObV4e7d9/H89ePa2OJCJiubKiQrZ/+w1bli0mLz0VVw9Pug4eSs9hI4mI7aLr60VEGtCJzMprAG8DO0zT/NchT80DrgKerrv/4pDtNxuG8RHOyY8K68rrIuBJwzAC6/YbCUxvmLchIqfj4NPPUJaYSOSzz6iUiogAe9at4evXX6SipJiIuK6MvPFWugwagpuHp9XRRERapBMZMR0MTAW2GIaxsW7bvTgL6SeGYfwZOABcVvfcApxLxezGuVzMNQCmaeYZhvEYsLZuv0d/mQhJRKxTMGcO+f/7H0FXX43/JZdYHUdExFK1NdWs+mAW6776gpAOnbj8wScJaa9r7EVEGpvhnDy3aUpISDATExOtjiHSYpVv3Mj+qdPw6p9A2xkzMFxOaj40EZEWpeBgJl+99AyZe5LoM+oizvvTtbi4uVkdS0RaOcMw1pmmmWB1jsamT6EirVR1Vhapt9yKS1gYkf/8p0qpiLRqu378jkVvvIxhGFxyx73EDjjH6kgiIq2KPomKtEKOqirSbrmV2pISOsx8C5fAwON/k4hIC1RTVcWK92ayackCImK6MO62u/EPDbM6lohIq6NiKtLKmKZJ5qOPUr5pE1EvvohHly5WRxIRsUReeipfvvgM2fv3kXDxRM6dMg27zh4REbGEfvuKtDL5H35I4ew5BN9wA36jR1kdR0TEEttXLmPpzNexu7kx4Z6H6NS3v9WRRERaNRVTkVakbO1aDj75FD7nnUfIrbdYHUdE5Iyrrqjgm3feYNu3S4nq2oNxt/4d3+A2VscSEWn1VExFWonq9HRSb7sdt+hoIp9/DsNutzqSiMgZlX0gmS9ffIa89FQGTprCoEl/wKbfhSIiTYKKqUgr4KioIPXmWzArK4l+/TXsvr5WRxIROWNM02TLskUs/88M3Ly8mHzfY7Tv1cfqWCIicggVU5EWzjRNMh54kIodO4h+7TXcO3WyOpKIyBlTWVbGkrde5efvV9KuVx/G3nwn3gGaiVxEpKlRMRVp4fJmvUvR/PmE3HYrvhcMszqOiMgZc3Dvbr588RkKsw9y7pRpnD1+MobNZnUsERE5AhVTkRasZPVqsp57Dt8LLyT4hhusjiMickY4amvZ8PV8Vn0wC0//AC5/6Cmiu/awOpaIiByDiqlIC1WVkkLaHXfi3rkzkU8/pVECEWkV9m/ZyIp33yInZT+dzjqb0Tfdjqevn9WxRETkOFRMRVogR2kpqX/9PwCiX3sVm7e3xYlERBpXQWYG377/NrvX/oh/aBiX3HkvMf0HYRiG1dFEROQEqJiKtDCmaZI+/V4q9+yh7VszcGvXzupIIiKNpqq8jDWffcK6rz7HZnfh3CnTOGvcpbi4uVkdTUREToKKqUgLk/vmmxQvXkzo3XfjM3iw1XFERBqF6XCwfdVyVn0wi9KCfLoPvYAhf7gKn6Bgq6OJiMgpUDEVaUGKly8n+6WX8bv4YoKuudrqOCIijSJ91w6Wz5pB5p4kImK6MP7v9xMR08XqWCIichpUTEVOU8mq7yj94QerY4BpUvDpp3h060bEY4/quioRaXGKc3NY9cEsdny3Ap/AIMbcfCfdBp+nyd1ERFoAFVORU1SVksLBJ5+iZPlyDFdXcLH+/06uERFEv/oKNg8Pq6OIiDSY6qpK1s3/jDVffIrpcDBgwhWcfelk3Dw8rY4mIiINxPpP0iLNjKOigty3ZpL71lvg4kLoXXcSNG0ahibaEBFpUKZpkrRmNd++/w5F2VnEDRjM0D9dg39ouNXRRESkgamYipwg0zQpWbaMg08+RXVaGn7jxhF6999xDQuzOpqISIuTlbyX5bNmkLpjKyHtOnD5g0/Stke81bFERKSRqJiKnICq5GQyn3iS0lWrcI+Nod277+I94GyrY4mItCgl+Xmkbt/C3g2J7PhuBZ4+voy47v/oNXwkNpvd6ngiItKIVExFjsFRVkbOmzPIe+cdDHd3wqbfQ+CVVzqvKRURkdNSkpdLyo6tpG7bQsr2LeRnpAHg5ulFvzGXMGjyH/Dw9rE4pYiInAkqpiJHYJomxYsWcfDpZ6jJzMR//HhC77oTl5AQq6OJiDRbxXk5pG7fSsr2LaRu30J+RjrgLKLR3XoQP3wUbXvEE9Kho0ZIRURaGRVTkd+o3LOHzMcfp+yHH3Hv1o2of/0Tr379rI4lItLsFOfmkLrdORqasn0LBZkZALh7eRPVrQfxw0eriIqICKBiKlKvtqSUnNdfJ++997B5eRH2wP0ETpmCYdeHJRGRE7V77Y/sWfcTqTt+X0R7XziWtt17qYiKiMjvqJhKq2eaJkVffkXWs89Sk52N/+RJhN5xBy5BQVZHExFpVn6c+zGrP/4v7t7eRHfrSZ+R44ju3ouQ9h1UREVE5JhUTKVVq9y9m8yHH6EsMRGPnj2Jfu1VPOO1HIGIyMlaO38uqz/+L92HDGPUX29XERURkZOiYiqtVsl3q0m77TYMV1fCH32EgEmTdNquiMgpWL9wHivff4cug4Yw6iaVUhEROXkqptIqFcyZQ8aDD+EeG0vbN9/ANSzM6kgiIs3SpiULWT5rBjH9BzHm5jux6Q98IiJyClRMpVUxTZPsl18m999v4H3uuUS9+AJ2H62RJyJyKrauWMrSma/RqV9/Lrr9buwu+lghIiKnRv+CSKthVlWR8cADFH4xD//Jk4h46CEMV1erY4mINEs7vlvBojdeon18Xy7+23TsLvp9KiIip07FVFqF2qIiUm+5lbI1awi57VaCb7wRwzCsjiUi0izt+vE7Fr72L9p268n4u+7Dxc3N6kgiItLMqZhKi1ednk7KDTdQmbyfyGeexn/8eKsjiYg0W7sT1/DVy88REduVS//xIK7uHlZHEhGRFkDFVFq0iu3bSbnhRhwVFbR7awbeAwdaHUlEpNnat3EdX77wFKEdOzPxnodx8/C0OpKIiLQQNqsDiDSWkpUrSf7TVHB1ocMH/1MpFRE5Dfu3bOSL5x8nOLo9k6Y/iruXl9WRRESkBVExlRYp/+NPSLnpr7h1aE+Hjz7CPTbW6kgiIs1W6vatfP7sYwRGRDHpvkfx0GzmIiLSwHQqr7QopmmS/eJL5L75Jt5DhxD9wgvYvL2tjiUi0myl79rB3Gcewa9NCJfd/zhefv5WRxIRkRZIxVRaDEdVFRn33kfRl18ScPnlhD/4AIbW1BMROWWZe5KY8+RDeAcEcNkDT+DlH2B1JBERaaH0qV1ahNrCQlJvvoWytWsJueMOgv9ynZaDERE5DVnJe5nzxAN4+Phy2QNP4hMUbHUkERFpwVRMpdmrSk0j5YYbqD5wgMjnnsP/4ousjiQi0qzlpOxn9uP34+rhyeUPPoFfmxCrI4mISAunYirNWvmWraTcdBNmVRVt356J99lnWx1JRKRZy0tP5dPH7sPm4sJlDz6Bf2i41ZFERKQV0Ky80iw5ysoomDOX/dOmYXNzo8OHH6iUioicpoLMDD599F4ALnvgCQLDIy1OJCIirYVGTKXZcJSXU7JyFUVfL6RkxbeY5eV49OxJ23+/jkuITjMTkeZp15rVrPvyc2prqq2OQmF2FgCXP/gkwVFtLU4jIiKtiYqpNGmOigpKVq6k+OuvKV7xLWZZGfbgYPwvHY/f6DF4JZyFYbdbHVNE5KSVFuSz7J032LVmNUFRbQkIs/6UWb+QUAZOnEJIuw5WRxERkVZGxVSaHEdlJaWrVlG08GtKli/HUVaGPSgI/4svxm/MaLwSErQMjIg0W6ZpsvO7FSybNYPqinLO/cNV9L94Ijb9kU1ERFoxfbqXJsFRWUnp6tXOMrpsGY7SUuwBAfhddJGzjPbvrzIqIs1ecV4OS996jb3r1xIR15VRN9xGcLROmRUREdEnfbGMo6qK0tWrnafpfrMMR0kJdn9//MaOwXf0aLzPPhvD1dXqmCIip800TbYuX8KK92biqK3l/Gl/oe+Yi7DZNEoqIiICKqZigar9+8l9+x2KFi7EUVyMzd8f31Ej8Rs9Bu+BA1RGRaRFKcw6yOIZr3Bgy0badu/FyBtuJSA8wupYIiIiTYqKqZwxFbt2kfvmDIoWLsRwccFv7Fj8xo7Be+BADDc3q+OJiDQo0+Fg4+KvWPXBu2AYjLjur8QPH41h00ptIiIiv6ViKo2ufMtWct58g5Kl32Dz8iLomqsJvvpqLfEiIi1WfkYai954mbSd2+jQux8XXn8zfm1CrY4lIiLSZKmYSqMpS0wk5403Kf3uO2x+frT5618JnPonXAIDrY4mItIoHI5a1n/1Bas/fh+7myujbrqdHucNxzAMq6OJiIg0aSqm0qBM06R09ffkvvEGZYmJ2IOCCLnzDgL/8AfsPj5WxxMRaTQ5KftZ9MZLZO7eReeEAYz481/xCQq2OpaIiEizoGIqDcJ0OChZvpycN96kYssWXMLDCbv3XgIum4zN09PqeCIijaa2poa1X8zmhzkf4e7lxbhb/06Xc4ZqlFREROQkqJjKaTFrayn6+mty35xB5a5duLZtS/ijj+B/6aXYNKGRiLRAjtpaCg5mkpeeSl5aCjtXf0v2/n10GTSEC669ES8/f6sjioiINDsqpnJKzOpqCufNJ3fGDKr278etc2cin3sWvzFjMFz0n5WINH9VFeXkp6eRm5ZCXloqeenO+/yMdBy1NfX7+YeFc8md9xJ79jkWphUREWne1CDkpBXOm0fWiy9Sk56Be/duRL38Er4jRmgJBBFpdkzTpKywgLy0FHIPKZ95aakU52bX72fYbASERRAU1ZZOZ51NcFRbgiKjCYqKxt3L28J3IMdjt9vp1asX1dXVuLi4cNVVV3H77bdjs9lYsWIF48ePp2PHjvX7P//884wYMeKox/v00095+OGH2bFjBz/99BMJCQkA5ObmMnnyZNauXcvVV1/Nq6++Wv89H3/8MU888QS1tbWMGzeOZ599FoD9+/dz7bXXkp2dTVBQEO+//z7R0dGN9JMQEWnaVEzlpFRs3076P+7Bo2dPIh5+GO8hQ3QdlYg0G8V5OWTu3uW87dnFwX17qCwtrX/e1d2DoKhoorv1ICiqLUFR0QRHtSUgPAK7i6uFyeVUeXp6snHjRgCysrK48sorKSws5JFHHgFgyJAhfPnllyd8vJ49ezJ37lxuuOGGw7Z7eHjw2GOPsXXrVrZu3Vq/PTc3l7///e+sW7eOkJAQrrrqKr755huGDx/OXXfdxbRp07jqqqtYtmwZ06dP57///W8DvGsRkeZHxVROmGmaHHz6GewBAbR7523svr5WRxIROarKslIy9yTVl9DM3bsoyc8DwGZ3IaR9R7oMGkJwdLu60c+2+AYF6+yPFiw0NJQZM2bQv39/Hn744VM6Rrdu3Y643dvbm3PPPZfdu3cftn3v3r3ExcURUrd294gRI5gzZw7Dhw9n+/btvPDCCwAMGzaMSy+99JQyiYi0BCqmcsJKvvmGsp9+IvyhB1VKRaRJqamuJmf/PjLqCmjm7l3kpafWPx8YEUXbnr0J7xxHREwcIe074qIJ2lqlTp064XA4yMrKAmDVqlX06dOn/vk5c+bQuXNnxo4dy8yZM4mMjDyt14uJiWHnzp0kJycTHR3N559/TlVVFQC9e/dmzpw53HbbbXz22WcUFxeTm5tLcLCWGRKR1kfFVE6IWVXFweeewy2mMwGXXWZ1HBFpxUzTJD8jnczdP5NRNxqanbyX2hrnhERe/gFExHah25BhhMfEEd4pFg+toyyHME2z/vHRTuVdsGBBg7xWYGAg//73v7niiiuw2Wycc8457N27F3Bez3rzzTcza9Yshg4dSlRUFC6aQFBEWin99pMTkve/D6jef4C2b83QrLsickZVlJaQuXsXGUk/k5G0k4zdu6goKQbA1cOT8E4x9Bs73llCO8fhG9xG177LUe3duxe73U5oaCg7duw4I6958cUXc/HFFwMwY8YM7HY7AJGRkcydOxeAkpIS5syZg7+/lhsSkdZJDUOOqyY/n5zXX8d7yBB8hgyxOo6ItGAORy25KQfISPqZ9KSdZCT9TF5aivNJw6BNdDtizx5ERGxXImLiCIpui81mtza0NKzaGphzLcRPga5jG/TQ2dnZ3Hjjjdx8881n9I8XWVlZhIaGkp+fz+uvv84nn3wCQE5ODkFBQdhsNp566imuvfbaM5ZJRKSpUTGV48p55VUcZWWE/eNuq6OISAtTVlgeHsiyAAAgAElEQVRA+i8joUk/k7knieqKcgA8ff2IiOtK9yHDiIjtQlinWNy9vCxOLI3KNGHh3bD9C+h8QYMcsry8nD59+tQvFzN16lTuuOOO+ud/e43p/fffz+TJk496jelnn33GLbfcQnZ2NuPGjaNPnz4sWrQIgA4dOlBUVERVVRWff/45ixcvpnv37tx2221s2rQJgAcffJC4uDgAVqxYwfTp0zEMg6FDh/Laa681yHsWEWmOjEOvs2hqEhISzMTERKtjtGqVu3ezd/ylBF5xOeEPPmh1HBFp5kzTZO/6n9i5eiUZSTspzDoIgM1uJ6R9JyJiuxAZ24WI2K74h4XrlNzW5ofXYNG9cM6tMPIxq9OIiDQJhmGsM00zweocjU0jpnJMB599FpuXF21uucXqKCLSzOUcSGb5u29xYOsmvAODiIrrRp+R44iI7Upop864urlbHVGstONLWHQfdLsERjxidRoRETnDtFibHFXJqu8oXbmKNjfdhEtgoNVxRKSZKisqZOnM13nv7lvJ2reHC665getf+w8X3zGdhIsnEtW1u0ppa5e2Hub+BaL6wYQ3oQmtJZucnEzPnj0P2/bwww/z/PPPA3D11Vcze/ZsAPLy8ujbty//+c9/jnnMV199lZiYGAzDICcnp367aZrceuutxMTEEB8fz/r16wFYvnw5ffr0qb95eHjw+eefH/NYIiLNjUZM5YjMmhqynn0G13btCPzTH62OIyLNUG1NDZsWf8X3sz+gqrycPqPGMeiyK/H00TrIcoiCFPhwCni1gT98BG7N8zriwsJCRo0axfXXX88111xzzH0HDx7MRRddxPnnn3/Y9oULF5KUlERSUhJr1qzhpptuYs2aNQwbNoyNGzcCzvIbExPDyJEjj3ksEZHmRsVUjqhg9mwqk3YT9crL2LQIvYicpH0bElnx3kzy0lNpH9+XYVf9heDodlbHkqamogg+uAKqy2HaF+ATanWiU1JSUsKYMWO48soruemmm467f9++fY+4/YsvvmDatGkYhsHAgQMpKCggIyODiIiI+n1mz57NmDFj8KqbCOxoxxIRaW5UTOV3aouLyX75Fbz698d3xAir44hIM5KblsK3781k38Z1BEZEcundD9KpX39NYiS/V1sDs6+B7J3wp9kQ2s3qRKfsjjvu4LrrruNvf/vbYdv79OlTP9J5ItLS0mjbtm3919HR0aSlpR1WTD/66KPDZhUWEWkpVEzld3LeeIPa/HzCpt+jD5MickIqSkr4YfYHbFz8Fa7uHpw39c/0HX0RdhdXq6PJ8TgcUFFAbUkmB/L3UNsmDruLGy6GC3abHbthP+z+sO2G/dT+nTBNWPh32L0ULn6pwZaGaQxHe3+Hbr/gggv44osvuOuuuwgN/XXU92RKKTivMT3W62RkZLBlyxZGjRp1UscVEWkOVEzlMFUpKeS/91/8J0zAo3t3q+OISBPnqK1l89KvWf3p/6gsKaHX8JEMvmIqXn7+Vkdr3aoroDT7CLccKMmC0mwKS7PYVJ3HJrOcTe5ubHV3o/QUJh36paAeWlp9XH3wd/f/9ebmvA9wD3B+vXcV/lvex3/AtQT0uBRfRy12m70RfhCnLzg4mPz8/MO25eXl0bFjx/qvp0yZwrnnnsvYsWNZvnw5vr6ndh11dHQ0KSkp9V+npqYeto7qJ598woQJE3B11R98RKTlUTGVw2Q99zy4uhJy221WRxGRJm7/5o2seO8tclL207Z7L86/6i+EduhkdazmyzSd11pWlUJVsfO+suQIX/9y+83XlSVQlgMl2c79D1EL7HZ1ZZO3L5u8fNjsZifZqxZwxY4bce7BXOTbgZ7ubfDc9jm1NRXUdr+E2s7DqcWk1qylxlFDrVlLraOWGrOGWkctDtNR//iXfaod1ZRWl1JQWUBRZRFpJWn1j00OGRGMDIespfDxUgB83XydxbWuxHq5euHp4ll/83DxcN7bPY683eU32+0eDVJ2fXx8iIiI4JtvvmH48OHk5eXx9ddfc9tv/p28/fbbycjIYMKECSxYsAC3U5if4ZJLLuHVV19lypQprFmzBn9//8NO4/3www956qmnTvs9iYg0RSqmUq9s7VqKFy+mza234BrWPCegEJHGl5+Zzrf/fYc9iT/iHxrGJXfcS8zZg3Tq/4lyOCB/H6RvcC6Tkr4BsrZDZRGYjhM7hs0F3Hzqbt7gXvc4si94h1Do4ccmo4pN1QVsKs9ka/E+SmvKAQh0D6R3SG/Gh/amd0hvegT3wMv1kJlwB94NX/0N1rwPqTthwhvQJvb037bpoHj/dxR+NIXCNjEUXPgQhbXlFFYW1t8KKgsorCqksKKQjNIMKmoqKK8pp7ymnIraipN+zUmxk3j4nIdPO/t7773H//3f/3HnnXcC8NBDD9G5c+ff7ffMM89wzTXXMHXqVD788EP69et3xNN5X375ZZ599lkyMzOJj49n7NixzJw5k7Fjx7JgwQJiYmLw8vI6bNmZ5ORkUlJSOO+8807oWCIizY1xpOsZmoqEhAQzMTHR6hitgulwkHzZ5dTk5tJ54QJsnp5WRxJptUzTpLyokLyMNPLT08jPcN6qKk7+g3nDh3OQumM7dldXBky4nLPGjsdFM3cfnWlCwQFn+UzfAOnrIX0TVBY6n3fxgPB4CO8JnkG/FsxfCqebN7j71j2u2+7uA3Y3OOQPAYWVhSzdv5T1WevZnL2Z5KJkwHmabVxgHPEh8fQO6U2fkD5E+0Yf/48Ipglb58CCu5yjuBc8AANvgtMZgSxIgZnDwcUdrvvmpGfgdZgOKmoqqKh1ltVDS+uhX9dvry2nS2AXLmjXdK9fFRE5EYZhrDNNM8HqHI1NI6YCQOEX86jYto3I555VKRU5Q6orKyjIzCDvl/KZnkp+Rjp5GalUlpbW72d3ccE/LAIPbx8L0/6q57ARDJp8JT6BQVZHaXqK0g8poXW3slznczZXCOsBvSY5RzYj+0JIN7Cf2j/FpmmSeDCROUlzWJK8hCpHFUEeQcSHxDM+ZvyRR0NPlGFAr8nQYQh8eTssvg92zIdLX4fg348UHldFEXxwufPa12nzTmlZGJthw8vV69Tej4iINHnHHTE1DOMd4CIgyzTNnnXbgoCPgQ5AMnC5aZr5hvNPsC8BY4Ey4GrTNNfXfc9VwP11h33cNM13jxdOI6ZnhqOsjD2jx+ASHk6Hjz7EOIXJL0TkyEzTpDg3h7zUA84R0Iy0+iJanJN92L4+wW0IiogiMCKKoEjnfWBkNH4hIdia6MQwrVpZnvNU3LR1v5bQkkznc4bdufxJZB+I7OcsoWE9nKOFpymvIo95u+cxJ2kOyUXJ+Lr6Mq7TOCbFTaJLYJeGP6XaNGHzx7Dwbqipggsfgf5/gRP9t6K2xllK930Lf5wNnYc1bD4RkRZOI6a/mgW8Crx3yLZ7gG9M03zaMIx76r7+BzAGiK27DQD+DQyoK7IPAQmACawzDGOeaZqHT3Mnlsid+TY1WVlEvfiiSqnIaaqurODg3t1kJP1M+q6dZOz+mdL8vPrn3Ty9CIqMIrprDwIjfymh0QSGR+Lq4WFhcjmmqjLI3Owsob/c8pPrnjSgTRx0Ot9ZQKP6QVhPcGu4kT2H6eCnzJ+YvWs23xz4hhpHDX1D+/KX+L9wYfsL8XRpxDNdDAN6T4GOQ2Herc6Cun0ejH8Vgjoe+3t/WRZmzzdw8csqpSIiclTHLaamaa40DKPDbzaPB86ve/wusAJnMR0PvGc6h2F/NAwjwDCMiLp9l5immQdgGMYSYDTw4Wm/Azkt1ZmZ5L7zDn5jx+DVr6/VcUSaFdM0KTiY8WsJTdpJ9v59mA7nBDYBYRG06xFPeEwXQtt3JDAyCi//AE0S1NTV1kD2zl8LaPp6OLgdzFrn837RzvJ51jUQdRZE9AYPv0aJklOew+e7P2fOrjmklqTi7+7PlC5TmBw3mc4Bp3BK7enwi4Q/fgob3oevp8O/B8PIR+Gsa48+evrDa5D4Dpz7NzjrqjObV0REmpVTvcY0zDTNDADTNDMMw/jlYpEoIOWQ/VLrth1tu1gs61//AoeD0LqZBkXk6CrLysjcvYuMJOdIaHrSz1QUFwHg6uFJREwsZ4+fTERsVyJiu2gtz+bANKFgf10JXe+8ZWyE6jLn8x7+zvI55A7nfWQ/8A1r1Ei1jlp+yPiB2btm823Kt9SYNfQP78/NfW9mRPsRuNtP/3TgU2YY0G+qc3R43i3w1Z2/jp4GtDt83x1fwuL7ofulcMGDVqQVEZFmpKEnPzrSMIB5jO2/P4BhXA9cD9CuXbsj7SINpHzzZormzSf4+utxjdLfCUR+qygnmwNbNpK+awcZST+Tk3rAWWSA4Oh2xCQMICK2CxGxXQmObqvrQJuLwjTnqaW7l0LyaufanwB2d+foZ7+rnCU0qh8EdTps9tvGdLD0IJ/t/oy5SXPJKM0g0D2Qqd2nMjF2Ih38O5yRDCcsoC1M/QzW/QcW3Q+vnwOjnoB+05w/r7T1MOc6589xwhsnfj2qiIi0WqdaTA8ahhFRN1oaAWTVbU8F2h6yXzSQXrf9/N9sX3GkA5umOQOYAc7Jj04xnxyHaZocfPoZ7G3aEHz99VbHEWkSqisqSNmxhf2bNpC8eQN5ac4TPTy8fYiI7ULcwHOJiO1CeExck5khV05AdTns/x52f+MspNk7ndt9IyF2JEQnOAtUWA+wuzZ+HEc1maWZpJekO2+l6WzL2cbq9NU4TAcDIwZyZ8KdXND2AlzPQJ5TZhiQcC10vgC+uBnm3wrbv4Dz/gGfTAWfEPjDR+Cqmd5FROT4TrWYzgOuAp6uu//ikO03G4bxEc7Jjwrryusi4EnDMALr9hsJTD/12HK6ihctonz9esIfexS7j7fVcUQsYTocZB9IJnnTevZvXk/azu3U1tTg4upGdPee9LpgJO3j+9KmbXtdF9qcmCbk7HIW0d1LYf9qqKlwjoi2Pwf6/gk6D3fOmtsI/7tW1zqLZ1ppGhklGaSVpJFeku68L00nqywLh+mo399m2IjwjuDantcyMWYibf3aHuPoTVBgB+cSMGtnwtKH4J2R4O5ftyxMiNXpRESkmThuMTUM40Oco51tDMNIxTm77tPAJ4Zh/Bk4AFxWt/sCnEvF7Ma5XMw1AKZp5hmG8Riwtm6/R3+ZCEnOPEdlJVnPPY97164ETJxodRyRM6q0IL+uiG5g/5aNlBUWABDSrgN9x1xC+/i+RHXtjqubhdfxyckrL3AuR7J7KexeBkWpzu1t4pyTFMUMh/aDT2um3BpHDQWVBeRV5JFfkU9+RT55FXnklOeQUZpRXz6zyrIwD7laxWbYCPMKI9InkrPDzybSJ5JI70iifKKI8Ikg3Cu8aY+MngibDQZc7/w5f/us85Te0K5WpxIRkWbkuOuYWknrmDaOnLfeIvuf/6Ldf97Be9Agq+OINKqaqipSd25zFtFN68k+kAyAl38A7Xv1oX18X9rH98UnMMjaoHJyHA7nuqG/XCuamuicNdfdDzqd5xwRjRn++wl5DmGaJlllWfVFM6/y8MKZX5FPfuWvXxdVFR3xODbDRrhXuLNw+jgL5y/3Ed4RhHmH4Wpr5sVTREQso3VMpUWqyckh94038Rk2TKVUWoSaqipKC/Ioyc933uflUVqQR2l+PkU5WWTs2klNdRV2FxeiunZnyJVX06F3P0LaddC6vc2NwwGpa2HbXNj2OZRkAgZE9nHOmtt5uPN60WOMPpqmyfa87SxOXszi5MWklqT+bh+7YSfAPYBAj0CCPILoEtSFQHfn40CPwPrtge7OxwHuAdg18ZWIiMhpUTE9AxyVlZStTcSsrLA6CoVffomjspLQu/9udRSRY6quqKA4L7euZOZRWpBPSd19aX5ufRGtLC393ffa7Ha8AgLxCQwi/sIxdIjvS3S3nrh6eFjwTuS0mKZzKZdtnznLaFGq81rR2Auh+3hnGfUOPs4hnGV0UfIiliQvIbUkFRfDhQGRA/hT9z8R5hVWXzqDPILwdfPFZuiPFiIiImeSimkjMU2Tiu3bKZwzl8KvvsJRWGh1pHpB116Le8eOVscQ+Z2SvFyS1v5A0o+rSd2xDfOQCWIA7K6ueAcE4R0YSHBUW9r17I1PYBDeAYF41937BAbh6eun0dDmzDSda4lurRsZLTwAdjdnCR3xEMSNBg+/4xzCZHvudhbtX8Ti5MWklaTVl9Hr46/ngnYX4O+udWZFRESaChXTBlaTn0/R/PkUzP2Myp07Mdzc8B0xAv/xl+AS0gRmJ3RxwT021uoUIvWKcrLZ/dP37FqzmrSfd4BpEhTVlrMvnUxQZDTeAUH4BAXhHRCEu7e3ZsdtqUwTMrfUjYx+Bvn7wObiXIpk2HToMhY8A45ziLoymryIxfsPL6M3xN+gMioiItKEqZg2ALOmhtLVqymY+xnFy5ZBdTUePXsS9uAD+I8bh91fH4REDlWYdZCkNavZtWY1GUk/A9CmXQfOmXwlcQMHExx99AlrpHlymA72FuxlU/YmNmVvIrci13kdZ62DgPwDBGZuI6Aok0AHBESeReCgm/DrMRG797H/oGeaJttytzmvGVUZFRERabY0K+9pqEpOpmDuZxR+/jk1WVnYAwLwH38J/hMn4tGli9XxRJqU/Mx0ktZ8z64fV3NwbxIAoR07EzdgMLEDBhMUGWVxwlagNBcqi8DdF9x8wMW9UdbxBCiqKmJz9mY2Z21iU9YGtuRspbjGeT2wv4sXEYY7hZUFFFBL+VFOuzYw8Hf3J8A9wHnzCCDQPbD+Pq8ijyX7lxxWRke1H6UyKiIiLYpm5ZUjcpSWUvT1Igo+m0t54jqw2fAZMgT/++/D9/zzMdzcrI4o0mTkpqU4y+ia1WQn7wUgPCaOoX+8htgBgwkIC7c4YQtWWw0Ht0LKWudMtqlrnafHHsrm4iyovxRVd59D7n2P/jU4C25FIVQU4igvZG9ZBpsqs9hUXcAms5y9Nuf1wTbTJKaqmtGVlfSurKJ3RSXta2owMJzrivacQHnsSApd3eqXZymoKHDeVxaQX+G8L6goIL0kne0528mvzKfaUa2RURERkRZExfQEmKZJ+fr1FMydS9HCrzHLynDr0IGQO+/A/5LxuIaFWh1RWrnSgnwy9+yiIDODpnAWREVJCbvX/kBu6gEAIuO6cf6064g9+xz8QvT/l5NRVVtFQWUBhZWFVDuqsRk2DAwMw8CGzTl7rAG2khyMg1uwZW7FyNyCcXAbtppKDMDwboMtog9G7yuw+YRgqyrFqCrFVlWGvboUo7IUW1UJtspSbFXF2IozMKpKobIYqkrAUXNYpiKbwWZ3dza7u7PJ3Y0tHh4U25wjr/4YxNu9GesaQG+PcHr5ROPt1ca5vqiHv3PSIo8A5/qiPs7/FjzrbuHeJ/aHCtM0Kaspw8DAy9WrAX/aIiIiYhUV02MwTZOiBQvIefU1qvbtw+blhd/YMQRMnIhn376ahEUsUV5cxMG9u8nck8TBvUlk7kmiJC/X6liHMwyiu/Zg2NU3EHv2IHyD21idyHI1jhoKKwsprCp03lcW1hfO3z4urPr16/Ka8pN/MTsQ+ZufedUO2L/j+N/r6rwZ2LAZgRhGEDZs2OsKsc2AkrpMNsNGTEAMo0N607vu1t6vfaP/bjQMA29X70Z9DRERETmzVEyPonzzZg4+9TTlGzbg3rUrEU8+id+okdi89WFIzpzKsjKy9u0m85AiWngws/75wIgoorv1JLxzHGGdYwiObofNZrcwsZPNxY6rm7vVMRpdWXUZuRW55Jbn1t/nVeT9/uuKXIqrio96HLthx9/dv/56ynCvcLoEdsHf1ZsA08C/tga/qnLcClIxc5Mw8w/gMGswAdM7BEdwJ8ygTjgCO4J/NA6bHUfdUjsO04EDB6Zp4jAdmNTdmya1Zq1zOw7nfnW3X577Zf/6/eqeD3APoHdob3q16aWCKCIiIg1CxfQ3qjMzyX7hBQq/mIe9TRsinngc/0svxbBb/2FfWrbqygqykvfVj4Ie3JNEXkaacxkNwC8kjPBOMcQPH01451jCOsXg7qVS0JhKq0tZun8pKcUpRyygRxvN9Hf3J9gjmCCPILoEdSHYI5gAD+cEPv5u/nX3vvjX1uJfUYxPSQ5GURoUpUFhChRugcJUKM0+/MCuXhDZD/pcCNH9IToBfHWdroiIiDR/KqZ1HOXl5L79Drlvvw21tQRffz3B11+P3Ucf/KXxVFWUk7Tme7avXEbK9i2YDucol3dgEOGdY+l67nnO0dBOMXj5aWKXM2VvwV4+3Pkh8/fOp7S6FJthI9A9kGBPZ9lsG9qWYI9ggj2D6wvooY9d7a7OA9VUQfYO5/qcuclQuMlZOAtTnSW0turwF3b1Bv9o5y08/tfH/tHgFwUB7cGuX9siIiLS8rT6Tzimw0HRV1+R9c9/UZOZie+Y0YTeeRdu0Vq6QhqHw1FLytYtbF/5Dbt++p6aykr8Q8NIuHgikbFdCe8ci09QsNUxW50aRw3LU5bz0c6P+CnzJ1xtrozuMJorul5Bz+Ce2I93inRVKWRuhcx5kLHJecvaAY5q5/OGDXwjnSUzqh90vwT82x5ePD0DG235FhEREZGmrFUX0/KNG8l86ikqNm3Go0cPop5/Dq+EFr9EkFgkNzWF7Su/Yft3KyjJzcHN04tu555P96EXENWluybTskhOeQ6zd83m012fklWWRaR3JLf1u42JsRMJ8gg68jeV5UHmZsjY7CygmZshJwmomxHZK9g54jnorxDRG8J7Q2AHjXaKiIiIHEWr/JRUnZ5O1j//RdFXX+ESEkLEU0/hP/4SjKMs8i5yqsqKCtm5eiXbVy7j4N4kDJuNDr37cf7UP9PprLNbxQRBTZFpmmzI2sBHOz9iyYEl1DhqOCfyHO4fcD9Do4f+OjpaWw3FGXBwe10R3eQso4UHfj2YXzRExEOPic4SGhHvHP3UHxpERERETpjRFNY8PJqEhAQzMTGxwY7nKC0l9+23yX37HQCCrr2GNtddp5l2pUHVVFezb/1atq1cxr4Na3HU1hLSoRM9hl5A18Hn4R0QaHXEVqusuoyv9n3FRzs+ZFdBEr4unowP7scV3p3oUFUJxZlQkum8L86EspzDDxAc4xwJ/aWAhvcGb512LSIiIo3HMIx1pmm2+NM6W8WIqelwUDhvHtn/eoGarCz8xo4l9M47cI3SdaTSMEzTJCPpZ7avXMbP36+korQE74BA+o0dT/chwwhp39HqiC2HaTonDaoug+py562qtO5x2SH3ZVBVBqVZJBfs5eOSPXxhFlBsQJfKKh4qLmZsSRleST87j2vYwScMfMMgoJ1z1lvfcOetTRcI7wnuvta+dxEREZEWqsUX07L16zn45FNUbN2KR3w8US++iFe/vlbHkibKNE2qKyuorqigqryMqvJy5+OKcufXFRVUV5RTVV5OVUV5/ePMPbvIz0jHxc2dmP4D6TH0Atr16oNNywyduLI8yN4JWdudkwblJEFl8W8KZ91js/a4h6sBVnp58pGfLz94euBiwoV2f/7gE0ufwK4YvuHgG+Esor4RzutCm8AasCIiIiL/396dh9lx13e+f3/r1Fl7lXqRtcuWJVuWF9mWV2yHAI6XYewxkIG5uQEnw5NhuyyZZPLkCYEwk7k3k0tuHjKZYYYthmxAgmFYbGPMADbgTTaWV7zJlrXYUrd6U/fZq373j6pzTp1WS5ZsqU9L+ryep56q+lV1nTpHJel8+redjE7IYFrbvZup2+9g6vbbKT/+OP6SJSz78/9C71vfqn6kAkQBdOeTj7H1rjvY+8LzrZBZLjfnDX01qXSaTC5PJp+nb3gJF934DtZfcgXZQuEY3/1xrjINI0+3AmhjPf1K65xsLwyuh8JiSOejaVTS+Wgez3QeMoXWdtu6wPbqJN985ed8e9dPGKmMsaSwhA+t/3Xevv7tDOYHO/e+RUREROSgTphgWh8ZYeqO7zN1++2UHn4YgNzZZzP8B3/Aonf+azyFBQHK09M8efcP2fqD2xnbvZNsVxerz95EptBFJh+FzHQ2RyZfIJPLkc7no/AZB9B0vJ3O5Uj5J8xfn2OjXoHRZ+Lw+VQrhE5sb53j52HoDFj7Jhg+E4bPguENRzx4UKle4q7td3HrU3/Hlj1bSFmKK5dfyU3rbuKqFVfhe/qzEhEREVnIjutva/Xxcfb/4AdM3XY7xQcegDAku349Qx/9CL3XXUdm9epO36IsAM45XnnuGbb+4Hae/vnd1GtVlq47g2s/8DHWX3aFRsZ9rYIaTO2GyZ3xsiNedsL4dhjb1mpy6/lRDejyC+H834zC5/CGaAqV19h81jnHk2NPcuszt3LbC7cxXZtmVc8qPnLBR7hh7Q0MF4aP3nsVERERkWPquAumwf797P/hD5m67TZmfn4v1OtkVq9m8H3/jt7rriO7bl2nb1EWiGqpyFM//Qlb77qdkRe3kc7l2fjGN3PuW65jeM1pnb69169ehaldURiciENhcSxu6toVLekCZLrj/Xg7XWgdz3SBnzuwdtI5KE8kQufOxOvE+/tfpjlvZ0NhEPpWRLWfG/9VHEDPgsVrwc8clbc9WZnku9u+yzef/SZPjz9NNpXl6tVX87Z1b2Pzks2aD1ZERETkOHRcBNOwWGT6xz9m8rbbmLn7Hly1SnrZMgZufg+9119PdsMGfRldAIIwYLo2zWRlkqnqVHM9VZlisjp5wNowutJdFNIFutJddPmt7UK6QJff1dxO7nelu8j7+YP+me99cRuP3nUHT/30R1RLJYZWn8pb3vtBNlzxK2Tyx1GT7upMK3BOvNQeQCd2zB0Mc31QK0NQOfzXMS/qw9kIr5aKrl2dbj8vlYlCZ98KWPur8fbKxHp5FIqPgdCFPPDKA9z67K38cPsPqYZVNizewMcv+TjXnXYdvZneY/K6InI41EUAACAASURBVCIiIjI/FvQ8pheccYb7zr94K/t/9CNcqYQ/NETPddfSd/315M4774QNo845SvUSxXqRUi1ex/uhC+c8f87rzA4tsXpYJ3AB9bDeXGph7YCyg5a7OjO1mQMC6HR1+qCvCZD38/RkeujL9tGb6W2+z5naDDO1meb7PByGUUgXyKVyZFIZ8i7DKbtSLHvO0T0SEqZgZm0XpY2LYWkPWT86L5PKkPEyZFNZ0qk02VSWtf1ruWzpZUfveXIu6l9ZL7WPJFuba78I9XK0XZqAyZei0DnxEpTG2q/r+VHfy/5VURDsX9m+7lsBftwsOahDbSYKt8mlVowCZ7UYl03HZYlzwhr0LIuvu6IVPAuDMM+Dh70y8wr/67n/xTef+ya7pnfRk+nhrae9lbetextnLj5zXu9FREREpBNOlnlMF3QwPTuXd7eefz491/wavddfT+HCC7EFNv1GLahRrBcp1lrhsVgrzr1OnFeql+Y8r3HsUAFvPhmG7/nNJe2lSVmKrnQXvdle+jJ9beveTG8zeM5eZ1Kv3pQzCAOK9WIzqBZrxWZwnanNND+rxn5lZJzUo6+QeWoMrxJS7fMZOzPH3lM9Sn4UrCtBhWpQjZawSiWoUA/rba97zuA5vP+893PF8isOL6BW9sPOB+Gl++Gle2Hshfaw+Vr+/NKFOQLnqtZ+zykn/HQm5XqZJ/c9ydaRrdz/8v3c+/K9hC7kklMu4aZ1N/HmVW8m5+c6fZsiIiIi80bBdAG44Mwz3UOPPYal00f8s0EYUAkqlIMylXq0LtfLzbJyvdw8VgkqlOql6FjjnMbxoEKlXpkzYBbrxQMCzqFkU1kKftQsNe/nKfgF8ul47eejJqvx8QPK/AI5P0fqIMHEmDtMzVWe8lJR0DS/LXT6nk/KUqS9dHPfs4U3vc7k3ld49oF7efaBe9n99JN4KZ91F1/GeVdfx4qzzjmsYBm6kGoQhdS7tt/F5x79HLtndnPu0Ll84LwPcPmyy9uvM7krCqA77oeX7oM9j4MLo2awSzbC8Ma4T2c+sSSmMfFzif3GsUSZn4fUcdGy/qh6ZeYVHhl5hK17t7J1ZCtPjT3V/Du1smcl1665lptOv4mVvSs7fKciIiIinaFgugCs2bjG/e7f/m4UDpOhMREoDxY8jyQwJnnmkUvlyPk5sqksOT9HLpWbMzgeECTjkDl7uxFENWXFa+OcY3THdp574F6efeDnjGx/AYCh1adyxmVXcvavXk1X/6LX9Rq1oMa3nv8Wn3/087w88zKb+tfz/p6zuGxsN7bj/qhfJ0R9MVdshlWXwspLYMVFkFP/xsNRC2o8NfYUW0e28sjeR9g6spU9xT1A9EubjQMb2TS8ifOGzuO8ofMYyA90+I5FREREOk/BdAHIn5p36z+1PgqIqRxZP16nsm3bjRCZ3G4EyoOV5f188zqN7Vwqh+/5J2zf1eOJC0N2P/s0zz14L889cC8Te14GM5at38C6iy7l9Isvp3/JKUfnxaozsOsheOl+qtt/xrfGH+Nz3Rn2+D7n10I+0LWeS9Zcja2+DJacc1LWbL4Wo6XRZk3oIyOP8OS+J6nEgzIt7VrKpqFNnDcchdAzFp1BOnXkLSNERERETnQKpgvAhZsvdFse3KKgeJII6jV2PPFYFEYfvI+ZiXG8lM+qc85j3UWXsXbzJa+vZrRWhn3PwejTMPJM+zqsAxZNb7LqUqrLN3Orm+Dzz9/K3uJeLhi+gA9u+iAXL734qL3f40ljoKqJygQTlQkmK5PNZaIywWS1fX+kOMLumd0ApL00GwY2REE0rg1d0rWkw+9IRERE5PigYLoAbN682W3ZsuWwz6+WiozueInRHS8y+tJ2RndsZ2ZinNXnbmL9pVewfP0GbJ5HFZVDq5XLvLD1IZ574F62PfwgleIM6WyOUzddyOkXX8ZpF1xEttB1ZBctTyaC59Mw+ky0ntge9QsFwGDRahg8A045G1ZeCisvgnx78K0EFb7xzDf44mNfZG9pL5uXbOYDmz7ARadcdHQ+gA4KwoB95X2MFEfYU9zTXI+WRtvDZzUKm4dqHl/wC/Rl++jP9tOb7WVxbjEbBzZy3tB5bBjYQDaVncd3JiIiInLiUDBdAA4WTIN6jbHduxh96UVGd2yP1y8xNbKneU46m2Nw5Wqy3d3sfOIx6rUqXYsWs+7iyznj0itYduYGvBN8hFOIaroqMzNMjuxhanQv+0dHCGq1Tt8Wzjl2P/NLtm99mHqtSq6nl7UXXsy6iy9j1TmbSGcOEWSci6Y5Ke6D8e2t4NmoAZ1+pXVuKgMDp8Pgehg6o7UeOP2I5tysBBX++Zl/5ouPfZGR0ggXn3IxH9j0AS5ccuHr+BSODeccU9UpRooj7C3uZW9pb7SOl0b5aHn0gOmHUpZiIDdAf66/FTQzvfRn+9uCZ3+2n75MH/25/sMecVlEREREjtzRCqZmNg1cBvxtXLQKmIyXUefcWw7jGp8F/o1zrj/eXwN8GegFPOAPnHN3xMc2Af8D6AFC4ALn3EGDyIIPpnd977uJ8Bmtx1/eRRgEAHipFIuXrWBg5WqGVq2J16vpHRxu1o5WS0W2Pfwgz9z3M174xZYopPYv4vSLL+eMS9/A8g0bj1lIrVer7Nv5EmO7d5JKp8nmu8h2xUuhi2yhQMp/7X3rnHOUp/czNbI3Cp8jew/YrpaKR/EdHT3dA4NRf9FN57Ni5RBeZSKau7M4FoXO5jLWvi6NQVBtv1imB4bWRzWgzfUZ0L/6qPYJLdfLUUB9/IuMlka5ZOklfHDTBzl/+PzXfW3nHNWw2jY1TnOqnHr7fnO73r7fCKTloHzA9fuyfQzlh1hSWMJwYZihQrQ9lB9iuGuY4fwwi3OLDzrys4iIiIjMv6MZTJ1z3Yn9W4DvOuf++TB//hLgQ8C/TATTLwH3Ouc+b2bnArc65043szTwMPB/OOceM7NBYMy5WbUiyesv5GC6amCR+8hb3tDc7x1awuCq1QyuXM3gqjUMrlzN4mXLjyjYVcslXvjFFp6596ds+8UW6tUKhb5+1l18GesvvYIVG87Ge41zpc5MjDPy4jb2bn+BkXgZ270TFx708wfAz2SjoJovJAJrvCT207kcxalJpuLQObl3D1OjI9TKpbbrZfJ5eoeW0Ds0TN/QEnoHh+gdXkLf0BJ6BocOXRv5WoQh1PZDaRLKU1CJ1+XJxHZcnjjHr4xhpTGIB8Q5kEFhMRQGIB+vC7PWvcujANqzFOaxL3KpXuKfnv4nvvT4l9hX3sea3jX4nk/owrbF4QhdSOACnHNtZbPPqwU16u7wRpPOprJ0pbso+AW60l3RdrpAT7qHocIQw4XhKHTG20P5Ic3/KSIiInIcWgjB1Mx84C7gN4AnEsH0i8CTzrm/MLMrgf/snLvKzG4A3uacu/mw728hB9Mz1qx2//TF/8ngyjUMrFhFtlA4qtevlcu88MgWnr7vZ2x7+AHqlQr53j7WXRSF1JUbz5kzpAb1OuO7dzKy/YW2EFqcnGie0z0wyPDqUxmKl4EVq3BhSGVmhkppJloX43WpSGVmmkqxGJUVE8eLMwc0vc12dUXBc3CYvqHhaHt4ON5fQrar67UNGFWvQmk8qpEsjUc1lKXx9rJGeXkiCp7lOGjyKs9Rtg9yfZDvg1w/ZHuhsCgOmcngOdAKnrk+WOC1d6V6ia8//XV+sfcXeOZFCx5m1tw3WtuHKktZqhkwG2Gzy++iKxOv42OFdIG0pxFsRURERE4G8xVMzSwF3D/Xa5nZvweqwGeJmv02guly4E6gDygAb3bO/cLMfg84B1gKDAJ/75z7i0Pe30IOpkc6+NHrUauUeeGRh3jmvp+x7aEHqFXK5Hp6WXfRpaw57wL279vXDKD7dm4nqEc1WynfZ2DF6mYAjZY15HuO3tyW9WqVSnGGarlEobfvyAcDCuowtg32Pgkjv4T9r8wKmxNR2KzNHPwanh8NDJRccn2Jpb+1ne9vP5btXfABU0RERERkIep0jamZrQD+EXgjYLQH0/8AVJxznzGzK4j6lJ4D/AHwXuASoAz8CPh959xPDvY6mpAxls7mWH/JG1h/yRuoVSu8GIfUX/78Hh7733cCUOjrZ2j1qZx/3Q3N2tBFy1aQ8o/tx+hnMviZDF28ylQpzkWhc+8TsOfJKIjueSIaGKjRXNa8uIYyDpe9K6K5OfOLohrMtvC5uLWd7ZnXprIiIiIiIrIgXACsA56P93vN7Gnn3BnAvyUKrDjnfmpmvcAiYCfwY+fcPgAzuz2+joLpkUhnsqy7+HLWXXw59WqVvS9uo294yeubQ/NoK09FtZ97nogD6JNRIC2Nt87pWQrDZ8FpvxKth8+K+mMewWi0IiIiIiJyoDB0lOsBxWpAqRpQqkXbxWqdUjXartZDPA88s7irV7TtGfF+q8yax5LHO/0uwTn3beDb0OxrOhqHUoCXgDcDf2dmGwHPOTcWB9GPmVkeqAFXAX92qNdRMH0VfibDsvVndu4GqjPxdCjPREG0EUInX2qdk+mB4Q1w1o0wvBGWxCG0sLhz9y0iIiIiMo9qQchze6d5bNckeybLhA4C53DOEYSO0EHoHGFyO3ksjPedi2YnDMI4YNbbgmcjdJZqQaff8lF1qD6mh/Ax4HNm9vtEU8LcDOCc22dmfwU8FJd/xzn3/UO+vvqYLhDFsdZ8nMk5OZMB1PNhYF0reC7ZGK37V6mZrYiIiIicNCr1gGdemebx3ZM8tmuSJ3ZN8tQr+6nWD5wNw0vWRMa1l6m4hjLlNcqj2slUXLOZ8gzfM/KZFIVMinzGp5BubCfKMiny6VZZtO83tzO+h2uGYOJZGlqhOHksjEN0KyRH579h3dBR6WO60KnGdD41+oA2QufIL1thdGZv6zw/B4PrYNUlMPjuaF7OoTNh0angZzp3/yIiIiIi86xcC3jq5Ske3zXJ47umeHz3JM/s2U8tiCrYenI+Zy/r4+bL17BxWS9nL+9j5aICvheFz9c0W4XMOwXT2cIgmgIlOV1KeQLqFQiq7Uu9sV2L15XWdj2xHdSiEW/3bYvm8mzI9kWhc/2vweAZUf/PoTOgbxV4Xuc+AxERERGRYyQMHfUwakIbOEcQOOphSBCX75oo8fiuRk3oFM+NTBOEUQhdVEhz9vI+3nvlaZy9rI9zlvexcnFe4fMEcOIG0zCMQmDbXJzJuTnH5igbj0Lpq83JmZTKQioDqXS09jPxfqIslY1GuD33wjiAxjWg3UvUBFdEREREFrQwdEyVa4xOVxmbqbJvusLoTJWx6Sr7Zirsi8v2TVcp1YJmwAwSSzJ4Hm5PwsHuLOcs7+WajUvYuLyPs5f3sawvpxB6gjo+gmkYRrWWxTEo7otCZXHfrP3ZZePgDtEhOdfXmg6lsBgG1rZPkVJITJWS6wc/Gy3NsJmJ+nzqL4aIiIiIHCdqQchUqcZkqcZUuZ7YrjE+U22Fz5koaO6bifYbNZaz9eXTDHRlGOjOcNpQF11ZH9+L+mhG/TS9Zn/N1trDT9mc5SmvEUj7GO7NzfOnI520sIPp3qfgz0+LQ+aBHZkB8NLRvJyFgShMDp8ZhcvGfn5xa90InLk+8FLz+15ERERERI6iehCyY7zEC6PTjE5XmSrVomVW4Jws1Zgq1Zkq1yhWDz2SbE/WZ6A7w+KuDCsXF9i0sj/ezzLYnWGgK8virgyD3RkWdWVIp9T9TI6OhR1M03k4619FYbIw0B44G2WZbtVaioiIiMgJa7JUY9vINM+PzMTrabaNzPDivpnmAEBJPTmfvnya3lyavnyaUwe7mvu9+aisN++3lfXm0izqSpP1VXkjnbGwg+miNfDW/6/TdyEiIiIickwFoWPXeInn4+DZCqEzjE5Xmuf5nrF6oMBpQ928ecMSThvqYu1QF8M9OXrzabqzPilPlTZy/FnYwVRERERE5DjknKNYDZgo1ZgoVpks1uLtqGntRCkqG5upsn1fkRf2zbTNwdlfSLN2qJs3nTnEaUPdrB3qZu1QFysXF9R8Vk5ICqYiIiIiIoepXAt4cd8Mz++d4YXRacZmWiGzGULj/p1zNbNtyKQ8+gtp+gtpVi0u8CtnDLF2qIu1Q92cNtTN4i7NXS8nFwVTEREREZFZxmaqUZPavdM8t7fVvHbHeLFtupPubNRXsxEyzzyll97Gfrzuy2eax/vzGfryaXJpT9OeiCQomIqIiIjISSkIHTvHi63guXem2cdzvFhrnpf1PU4b6ubcFX3cdP5y1g5HzWpPG+wmn9FgQSJHg4KpiIiIiBwXwtAxOlNh71SFYjWgVAsox0ulFib2Q8r1gFI1oFKP92tB2/HpSp2X9hWpBq1+nYPdGU4b6ubas5eydqiL04ejvp3L+/N4GlBI5JhSMBURERGRBaEWhLwyWWbneIldEyV2jZfYNVFk10SJ3RNldk2U2gYIOpRMyiOb9silU+TSHvl0Ktr2U/Tm05zSm+PNG4bjQYWiGtD+gvp1inSKgqmIiIiIvC7OOUIXNY0NQkfgXGs7dITOUQ8dYego1YJE6Gxf79lfbuu/CTDUk2V5f56zlvXya2ctYfmiPEt6c3RnfXJpj6wfBc58JkXObwTRlKZMETnOKJiKiIjICc3FIakettZh235IGEI9DNvOC8IoIaU8wyxap8zw4nXKi7Y9o63c8yxxLnhmeGYYYMaCGPAmDB37K3Um46lLZi8TpSpTc5TPVALqQUjoaH5ujRD6WqRTxtK+PMv6c7zh9EGWL8qzoj/P8kV5lvfnWdqfI+urD6fIyUDBVERERI4LzjlmqgGj+yuMTlcYna4yOl1hX7yevV2uhVF4em2Z6ZjyLAqsjaBqtPab5YDnJY8ZqWTQtcY2cUC2xHXjwOy1tuuBawbMqXLtgJrJpEzKozefpi8fjTg71J3l9KFuunM+vudFwbstgBt+vO9ZtN0oawT2xnbW91jWn2N5f4GhnqxqNkUEUDAVERGReVYLQmYqdaYbS7m1PVOps79cZ7xYZXR/HDJnqs0wWjlI/8L+QpqBrgyD3Vk2LOtlsCtDIes3azZ9z0ilbNa+1wxMKc/wU61Q1QhdQLOJauhc27qxPft4a5voeOhwRNvORQG7sR862svmODd0yXNbr9k4p/F6rnlefDxsPzflGacNdUVTm+TTcfBMLIV0fCyjqUxEZN4t6GD6ymSZnz47yuY1i8il1YxDRETktXLOUamH7C/Xm6FwplJnplpnuhIwXa5TrNbjkAOORIhyNMtCBzjXtj87WBVr0fVmKnX2V9pfb3+5ftBwmZTyrBk0B7ozrB3sYrAn21Y22J1lqCfLokKGjO8d889QRESOnQUdTEenK/yfX7yfXNrjklMHuGr9EFetG+T04W79Fk9ERA7L4fQlrAVhvG6dVw8d9aB9OwjDxDmOehBSCx21ekg1CKnVQ2pBSCUIqdUd1SCI163j1SA6p1oPqQaOaj0kCMOopq6tRs9r1uKlEs0km+Wzavk8M4rVIBE2681wOF2pM1MNXnM/wNmazUxnNUVtNC0tZFJ0ZX264+WU3hzdOZ+urE9P1m871p2L1l1Zn574nO5MtK3pOURETh7mDtXBoMMuuPBC9xd/fzs/eWaEe54d4fmRGQCW9uW4ct0gV64b4orTB1nUpaG9RUSON5V6o1YtYH8lGlRlulJr1t4lt9uafcaBq1QLms0mo4AZzjGoTWf+j8v4HtmUR9r3yKQ80r5F65RHplEWb6dTHumUHTCaaT0RkmcP3NMsD+KBfOKfKWR8urKtUNiVSQa/g5X7dMfHChmfdMowGoETjKh/YqOfon4xLCIyv8zsIefc5k7fx7G2oIPp5s2b3ZYtW5r7O8eL/PTZUe5+doSfPjvKVLmOGZy7vI+r1g9x5bohzl/VTzql5jxy7NWDkHI9pFQNcM6R9VNk0x5Zf/775TgX1cgEoSOd8vDjwS5E5ksQOsaLVcZmquybjtZjMxX2zcRlM1XGplvbk6UqteDw/v9phKpkDVtXxiefSeF73kH6Dlqi76B3QN/B5L4f/53xU+3n+3Ht5FzbKc9Ip1o1mplEyNTfPxEROZoUTBeA2cE0KQgdW3dOcM8zUVB9ZMcEQejozvpctnaAq9YNctX6IVYPdM3zXZ94gtAxXa6zv1JjfzxART1wNL53Rc23WiMIRuV24HFav30344BBGtoHeEgO4tAY4MERhrMHgEheI3m8fbCItgEgZg0GUQtCSrWASi0KmeV6QLkWUKqFlGtBcynVAsq1kHJ8zqG+VGf8KKDm0qk513OVpTyPahDdRzUIW+t6QLUeUqmHs9YBlcR+khnNL8rZuHYm4yeW5n4qmoA8UZ72re3LfvOL+uwv7p4d0JyweV78pd1PWbM2KPrC7pGJr5/2PdIHnOcdcnTG5Dx5yUFIktMVJAcfcQ7SvkW/NIg/C/8Y/eKqFoQUq9GzUqwGFKt1StVou1SLfnnhJaaXSMVNLz2PtmknmtuJY41yBwRhSDCrKersGsLWftg27UXjWJD4O9ToT9j4exHMGkwljI8Hib+XM5V6M4Dum6kwNlNlonTwET778tGgNIvjZaA7Q18+Q09bjV17s87GdiGdUnNOERE5qSmYLgCHCqazTZZq3Pv8Pu5+doS7nxlh53gJiJr9DvVk6Ztr9Lk5lt58mp7swuvX0ghPjaZds0f+S37hDMLkF/XoS2zyvFK1zlQ5GoBiulxnf7kVOKfKNabjwSn2l2tRE7pq0Om3f8xlfI+c70WTc6dT5PwUuXii7mjC7nji7ngi71ZZFCzNrBkWy7U4NCbW5eZ+FHaT68bPBKFrBsTWOjVrPwqTc50XhVtr9mFrhthGX7bGEvdvq8wqS263gkyr39188Qz8VBRaG4EoGaBeLz+eqiCb+CVBsra7GWLjP+tMyqMaRL+0KNYCStV6FDariQBaO/QvKo53Ka/VhDNlRj6TaoXMWevF3dHgNAPd0f6iQkatWERERF6HkyWYLujBj45EXz7NtWefwrVnn4Jzjhf3Fbnn2REe3j7OeDx59K7xUnP+rkP1O/IMenLJsOo3+wO11f6kPDJzbKf9qNYo2azLTxmVWtisPWnVpLTXqiS3GzUux/pLbyGToifn05NL0x0PPrG0L0dPNk13zm8e60kMTOGn4uDuIB6gsTWCI1FNTHw4PqcxumPreKNGyGz23GutOdqS/Zpmz9vWmOy8dU70pdni+dxSs34+OZdbo+bKjOZAInJwjZrKtr5uway+bomBY2pB2BwYphqE1IOorBY0joXNAWHqjfK4rB62fsZr+7NM1ijSVrsYBSbaayPjWsdaEFKptWqXK4lfEjRrnWut7VItYKJUbTsn43vk0ynymagG75TeNPlMikIm1Spv7Mdl0bbfPMeMZo1+ENdENvoTzlU+1xQUjc8gWVvdvu+R8mir0U4lz40H1zl9+RAvvDzKrpe2c/nmTZy+bn2zhcNHPvIxfvPd7277O5N0991389GPfpQfP/ooX/3qV3nHO97RPPblL3+Zf/+nfwrAxz/+cd7znvcA8NBDD3HzzTdTKpW4/vrr+cxnPqOmriIiItLmhAmmSWbGqYNdnDrYxbsvW3PAceccxWrQDKmTpRpTB9meLNXi2sN680t1rTHyYvwFvLE9uznloXgGhbiPVOtLbLTdX0iTz/jk017znEI6qslLpw5s8tdYkhNaJ5sGNr6QRudFr9uT85vBU6FMXk0r+GnaphOBAcM9OYpdWdauXctjj2497J9dtWoVt9xyC5/+9KfbysfGxvjUpz7Fli1bMDMuvPBCbrjhBhYtWsT73/9+Pve5z3HppZdy/fXXc8cdd3Ddddcd5XclIiIix7MTMpi+GjOjK+7XtKw/f9Su22hu2Kr9SdYQRc00C3FT0U4MkCMi8nqtWbMGAM9rb577/e9/n6uvvprFixcDcPXVV3PHHXfwxje+kampKS677DIA3v3ud/Otb31LwVRERETaqOPPUWQWje6Yz6TozaUZ6M5ySl+OlYsLnDrYxbL+PP2FTLNPoohIpz3//PNs2rSpudxzzz0AvPe97+Vw+/gD7Nq1i5UrVzb3V6xYwa5du9i1axcrVqw4oFxEREQk6aSsMRURkcjatWt55JFHDij/whe+cETXmWsgPTM7aLmIiIhIkmpMRUTkdVuxYgU7duxo7u/cuZNly5axYsUKdu7ceUC5iIiISJKCqYjIAuecozxTo7S/2ulbOahrrrmGO++8k/HxccbHx7nzzju55pprWLp0KT09Pdx333045/jKV77CjTfe2OnbFRERkQVGTXlFRDooDEKKU1WmJyrMjFeidbxMj7e267WQDZcv5U3v3nBUX7/Rx7Tht3/7t/nwhz/Me9/7Xt73vvexeXP7tGkPPvggN910E+Pj43znO9/hk5/8JE888QSLFy/mj//4j7nooosA+MQnPtEcCOmzn/1sc7qY6667TgMfiYiIyAFsrv4/C8XmzZvdkQy+IXIkglpIcX+VarmOC8GFDudctO1ccz9M7s+xHYbR5KzONeZqjY7RmLs1jNa4xFyu7sCfwUV978ybtTYgXls8r2TymJlBPN9nY9u85Pmtn/O8xrVmXaNxXQOM5ucRBtH7c2FIGETvKwzjsvhYGIat7cA13695Rso3vJSHlzJSfrxOeXh+a99LefF5je1GuUWfTeLaYRjOuq/kNs37TN5Lm0TfxrZejnN0eWzrB/l6u0Q6KE8fGD6nJyqUpqrM/mfY842uvizdi7J09UdLd3+WoVU9LF+/6HXejIiIiBxPzOwh59zmVz/z+KYaUzmh1GsBxakqpakaxf1VSlNVilMVilO1qHx/leJUtFRL9U7frpyEsgW/GTYHlne3Bc+uRdE6153WAEEiIiJyUlEwlcMSho6gHhLWQ4J6VL3TqHHzPGuvmfMSNXmHc+0gpF4NqVUDapWAejWkHm/XKgH1WkC9Eja3nRCgegAADRxJREFUa5V4vxZQmWkEzhrFyQrVcjDna2QLPvmeDIXeDIMrusn3ZijE+5m8n6ilbL0Pr632ctYxr1VLibU+h2i7VYtpidpJOERNaPxZNWtQ56yFba+BbdSyhnHNbmObRK3tgT934DXat6O1l2r9ubZte4bF+16qVdbajmo7IXqNIAgJ6/E6cLO2Q4LAER5wTvSMhYHDPOa+l1T8Wl78eSaORfeSOJb4bOfSVuwaK3dA2euV60rT1Z8lnU0dnQuKiIiInEAUTI8B56Iv4PV6SFALCephHOqicJf8sh7Uoi/jQT2xjr+Yt32pj8taTUBpNQ2lvWlo+zr6kh01LY1+Jpj9OvXGPTZCQRwYGvc/V5PIw3BAUG0EmzichYGjVg0I60d2bTPwsynSmVQzcA6u6KZw1uIocDZCZ18mCqM9GVJpjfMlIiIiIrJQLehgWq+G7HlxKupHFjb69bX6kx1YljyPtj5ozrWv23827sfmWv3mZl8zGTCDWiLMtZWH1OMAerR5jb56ccCDZK0crZo3DnEcwCDlt/rxpXyPTC5Fyk9HZX7c3y8+J9XoGxiXRz/nYdaqnWt+lonat+Sfgwujz5aQ6DOOj3m+Rzrj4WdSpLOpaJ3x8JvbjfLkOdF9qZmjiIiIiMiJY96DqZldC3wGSAFfcM792cHOHXt5hn/+s2M3+JHFTf3amikmmyZaq9liI5Sl0h5+xiPb5TcDXiodr33DT3vNUOc3y9vDnpey6Gcag8A0BnxJDAjTDI9+q5ZRRERERETkRDSvwdTMUsB/A64GdgIPmtm3nXNPznV+31Cef/GBc6NwGDf/nB0YzVohMupbRmK7Vd4ePlujkIqIiIiIiEhnzXeN6cXAc865bQBm9lXgRmDOYJot+Kw5d3Aeb09ERERERETm23yPCLMc2JHY3xmXNZnZ75jZFjPbMjIyMq83JyIiIiIiIvNvvoPpXG1n20YKcs59zjm32Tm3eWhoaJ5uS0RERERERDplvoPpTmBlYn8FsHue70FEREREREQWkPkOpg8C68zsVDPLAO8Cvj3P9yAiIiIiIiILyLwOfuScq5vZh4DvE00X8yXn3BPzeQ8iIiIiIiKysMz7PKbOuduA2+b7dUVERERERGRhmu+mvCIiIiIiIiJtFExFRERERESkoxRMRUREREREpKMUTEVERERERKSjFExFRERERESkoxRMRUREREREpKMUTEVERERERKSjFExFRERERESkoxRMRUREREREpKMUTEVERERERKSjFExFRERERESkoxRMRUREREREpKMUTEVERERERKSjFExFRERERESko8w51+l7OCgzGwG2d/o+FphBYLTTNyHyKvScyvFCz6ocL/SsyvFCz+rRt9o5N9TpmzjWFnQwlQOZ2Rbn3OZO34fIoeg5leOFnlU5XuhZleOFnlV5rdSUV0RERERERDpKwVREREREREQ6SsH0+PO5Tt+AyGHQcyrHCz2rcrzQsyrHCz2r8pqoj6mIiIiIiIh0lGpMRUREREREpKMUTBcQM/uSme01s8cTZf/JzB41s0fM7E4zWxaXm5n9lZk9Fx+/oHN3LiebuZ7VxLHfMzNnZoPxvp5V6ZiD/Lv6J2a2K/539REzuz5x7A/jZ/VpM7umM3ctJ6OD/btqZv9X/Dw+YWZ/nijXsyodcZB/V7+W+Df1RTN7JHFMz6ocFgXTheUW4NpZZf+vc+5c59wm4LvAJ+Ly64B18fI7wGfn6yZFmPtZxcxWAlcDLyWK9axKJ93CHM8q8JfOuU3xchuAmZ0FvAvYGP/Mfzez1LzdqZzsbmHWs2pmvwrcCJzrnNsIfDou17MqnXQLs55V59w7G/+mAt8AbgU9q3JkFEwXEOfc3cDYrLKpxG4X0OgUfCPwFRe5D+g3s6Xzc6dyspvrWY39JfAfaD2noGdVOugQz+pcbgS+6pyrOOdeAJ4DLj5mNyeScJBn9f3AnznnKvE5e+NyPavSMYf6d9XMDPjXwD/GRXpW5bApmB4HzOw/m9kO4Ddo1ZguB3YkTtsZl4l0hJndAOxyzm2ddUjPqixEH4qbln/JzBbFZXpWZaFZD1xpZveb2U/M7KK4XM+qLFRXAnucc8/G+3pW5bApmB4HnHN/5JxbCfw98KG42OY6df7uSqTFzArAH9H6xUnb4TnK9KxKJ30WWAtsAl4G/iIu17MqC40PLAIuBX4f+HpcI6VnVRaqf0OrthT0rMoRUDA9vvwD8PZ4eyewMnFsBbB73u9IJLIWOBXYamYvEj2PD5vZKehZlQXGObfHORc450Lg87SalelZlYVmJ3Br3BXiASAEBtGzKguQmfnA24CvJYr1rMphUzBd4MxsXWL3BuCX8fa3gXfHI55eCkw6516e9xsUAZxzjznnhp1za5xza4j+I7rAOfcKelZlgZnVx/kmoDGy5LeBd5lZ1sxOJRqw64H5vj+RhG8BbwIws/VABhhFz6osTG8Bfumc25ko07Mqh83v9A1Ii5n9I/BGYNDMdgKfBK43szOIfku6HXhffPptwPVEnciLwG/N+w3LSWuuZ9U598WDnK5nVTrmIP+uvtHMNhE1J3sR+HcAzrknzOzrwJNAHfigcy7oxH3Lyecgz+qXgC/F03JUgfc45xygZ1U65hDfAd5FezNe/bsqR8Sif99EREREREREOkNNeUVERERERKSjFExFRERERESkoxRMRUREREREpKMUTEVERERERKSjFExFRERERESkoxRMRUTkqDGzwMweMbMnzGyrmf2umc3r/zVm9h/N7C3H8Pq/Hr+/0Mw2zzr2h2b2nJk9bWbXHMa1bjazv36N97HJzK5P7P+Jmf3ea7mWiIhIp2keUxEROZpKzrlNAGY2DPwD0Ec0J+O8cM594hi/xOPA24D/mSw0s7OI5vHbCCwD7jKz9cdwzr5NwGaiuYJFRESOa6oxFRGRY8I5txf4HeBDFlljZveY2cPxcjmAmf2tmd3Y+Dkz+3szu8HMNprZA3EN7KNmti55fTNLmdktZva4mT1mZh+Ly28xs3fE2y+a2afi13vMzM6My7vN7G/iskfN7O1x+a+Z2b3x+f9kZt1zvK+nnHNPz/GWbwS+6pyrOOdeAJ4DLp59kpn9lpk9Y2Y/Ad6QKB8ys2+Y2YPx8oa4/GIz+7mZ/SJen2FmGeA/Au+MP593xpc5y8x+bGbbzOzD8c93mdn34hrsxxPnioiILBgKpiIicsw457YR/V8zDOwFrnbOXQC8E/ir+LQvAL8FYGZ9wOVEtYDvAz4T18BuBnbOuvwmYLlz7mzn3DnA3xzkNkbj1/ws0Gjq+sfApHPuHOfcucD/NrNB4OPAW+LztwC/ewRvdzmwI7G/My5rMrOlwKeIAunVwFmJw58B/tI5dxHwdqLPBeCXwFXOufOBTwD/t3OuGm9/zTm3yTn3tfjcM4FriALxJ80sDVwL7HbOneecOxu44wjek4iIyLxQU14RETnWLF6ngb82s01AAKwHcM79xMz+W9z0923AN5xzdTO7F/gjM1sB3Oqce3bWdbcBp5nZfwW+B9x5kNe/NV4/FF8f4C1EzW6J72HczN5KFBR/ZmYAGeDe1/A+k9ys/UuAHzvnRgDM7GvEn0N8T2fFrw3Qa2Y9RE2hvxzXGDuiz/FgvuecqwAVM9sLLAEeAz5tZv8F+K5z7p4jeE8iIiLzQjWmIiJyzJjZaUQhdC/wMWAPcB5RDWgmcerfAr9BVHP6NwDOuX8AbgBKwPfN7E3JazvnxuNr/Rj4IK0axtkq8Tqg9QtZ48DQaMAP4hrITc65s5xz//YI3u5OYGVifwWwe47zZr9ugwdclnj95c65/cB/An4U13b+SyB3iHuoJLYDwHfOPQNcSBRQ/x8zO9Z9cEVERI6YgqmIiBwTZjYE/A/gr51zjqjm72XnXAj8JpBKnH4L8FEA59wT8c+fBmxzzv0V8G3g3FnXHwQ859w3iJrmXnAEt3cn8KHEtRYB9wFvMLPT47KCma0/yM/P5dvAu8wsa2anAuuAB2adcz/wRjMbiJvZ/voh7mlTvNkH7Iq3b06cvx/oebWbMrNlQNE593fApzmyz0lERGReKJiKiMjRlG9MFwPcRRS2PhUf++/Ae8zsPqLmqzONH3LO7QGeor2f6DuBx83sEaK+k1+Z9VrLgR/Hx28B/vAI7vNPgUXxYEBbgV+Nm9feDPyjmT1KFFTPnP2DZnaTme0ELgO+Z2bfj9/DE8DXgSeJ+nF+cPaIvM65l4E/IWoifBfwcOLwh4HN8WBMTxL1sQX4c6Kazp/RHuZ/RNT0Nzn40VzOAR6IP6c/it+7iIjIgmLRL7FFREQ6x8wKRE1NL3DOTXb6fkRERGR+qcZUREQ6yszeQjTy7H9VKBURETk5qcZUREREREREOko1piIiIiIiItJRCqYiIiIiIiLSUQqmIiIiIiIi0lEKpiIiIiIiItJRCqYiIiIiIiLSUQqmIiIiIiIi0lH/P/qi6ElwJ41PAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ "<Figure size 1080x648 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ax = cases_m7.iloc[-50:][COUNTRIES_CORE].plot(figsize=(15, 9), title=\"Cases per day, 7 day moving average, with lockdown dates\") #, ylim=(-10, 1500))\n",
+ "ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
+ "# uk_projection.deaths_m7.plot(ax=ax)\n",
+ "for c in COUNTRIES_CORE:\n",
+ " lvi = cases_m7[c].last_valid_index()\n",
+ "# if c != 'UK':\n",
+ " ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = f\"{c}: {cases_m7[c][lvi]:.0f}\")\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 724,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 1080x648 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ax = cases_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title=\"Cases per day, 7 day moving average, with lockdown dates\")\n",
+ "ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
+ "# uk_projection.deaths_m7.plot(ax=ax)\n",
+ "for c in COUNTRIES_CORE:\n",
+ " lvi = cases_m7[c].last_valid_index()\n",
+ "# if c != 'UK':\n",
+ " ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = f\"{c}: {cases_m7[c][lvi]:.0f}\")\n",
+ " if c in lockdown_dates:\n",
+ " for phase in lockdown_dates[c]:\n",
+ " marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()\n",
+ " if 'start' in phase:\n",
+ " marker_shape = '^'\n",
+ " else:\n",
+ " marker_shape = 'v'\n",
+ " ax.plot(lockdown_dates[c][phase]['since_threshold'], lockdown_dates[c][phase]['cases_m7'], \n",
+ " marker_shape,\n",
+ " markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
+ " if 'start' not in phase:\n",
+ " ax.text(x = lockdown_dates[c][phase]['since_threshold'] + 1, y = lockdown_dates[c][phase]['cases_m7'], \n",
+ " s = f\"{lockdown_dates[c][phase]['date']}: {lockdown_dates[c][phase]['cases_m7']:.0f}\")\n",
+ "plt.savefig('cases_per_day_with_lockdown.png')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 725,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 720x432 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ax = cases_m7[COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Cases per day, 7 day moving average\")\n",
+ "for c in COUNTRIES_CORE:\n",
+ " lvi = cases_m7[c].last_valid_index()\n",
+ " ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = c)\n",
+ "plt.savefig('covid_cases_per_day-core.png') "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 726,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "IT part_start\n",
+ "IT full_start\n",
+ "DE full_start\n",
+ "UK part_start\n",
+ "UK full_start\n",
+ "ES part_start\n",
+ "ES full_start\n",
+ "IE full_start\n",
+ "FR part_start\n",
+ "FR full_start\n"
+ ]
+ },
+ {
+ "data": {
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\n",
+ "text/plain": [
+ "<Figure size 1080x648 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title=\"Deaths per day, 7 day moving average\",\n",
+ " xlim=(0, 15), \n",
+ " ylim=(0, 66)\n",
+ " )\n",
+ "# uk_projection.deaths_m7.plot(ax=ax)\n",
+ "for c in COUNTRIES_CORE:\n",
+ " lvi = deaths_m7[c].last_valid_index()\n",
+ " if c in lockdown_dates:\n",
+ " for phase in lockdown_dates[c]:\n",
+ " if 'start' in phase:\n",
+ " print(c, phase)\n",
+ " marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()\n",
+ " ax.plot(lockdown_dates[c][phase]['since_threshold'], lockdown_dates[c][phase]['deaths_m7'], '*', \n",
+ " markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
+ " ax.text(x = lockdown_dates[c][phase]['since_threshold'] + 0.3, y = lockdown_dates[c][phase]['deaths_m7'], \n",
+ " s = f\"{lockdown_dates[c][phase]['date']}: {lockdown_dates[c][phase]['deaths_m7']:.0f}\")\n",
+ "# plt.savefig('school_reopenings.png')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Write results to summary file"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 727,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open('covid_summary.md', 'w') as f:\n",
+ " f.write('% Covid death data summary\\n')\n",
+ " f.write('% Neil Smith\\n')\n",
+ " f.write(f'% Created on {datetime.datetime.now().strftime(\"%Y-%m-%d\")}\\n')\n",
+ " f.write('\\n')\n",
+ " \n",
+ " last_uk_date = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'dateRep'].iloc[-1]\n",
+ " f.write(f'> Last UK data from {last_uk_date.strftime(\"%Y-%m-%d\")}\\n')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 728,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open('covid_summary.md', 'a') as f:\n",
+ " f.write('\\n')\n",
+ " f.write('## Headlines\\n')\n",
+ " f.write('\\n')\n",
+ " f.write('| []() | |\\n')\n",
+ " f.write('|:---|---:|\\n')\n",
+ " f.write(f'| Deaths reported so far | {uk_covid_deaths} | \\n')\n",
+ " f.write(f'| Total Covid deaths to date (estimated) | {uk_deaths_to_date:.0f} |\\n')\n",
+ " projection_date = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['IT']), 'dateRep'].iloc[-1] + pd.Timedelta(s_end - s_start, unit='days')\n",
+ " f.write(f'| Projected total deaths up to {projection_date.strftime(\"%Y-%m-%d\")} | {deaths_actual_projected_scaled:.0f} | \\n')\n",
+ " f.write('\\n')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 729,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open('covid_summary.md', 'a') as f:\n",
+ " f.write('\\n')\n",
+ " f.write('## Total deaths\\n')\n",
+ " f.write(f'Time based on days since {DEATH_COUNT_THRESHOLD} deaths\\n')\n",
+ " f.write('\\n')\n",
+ " f.write('![Total deaths](covid_deaths_total_linear.png)\\n')\n",
+ " f.write('\\n')\n",
+ " f.write('| Country ID | Country name | Total deaths |\\n')\n",
+ " f.write('|:-----------|:-------------|-------------:|\\n')\n",
+ " for c in sorted(COUNTRIES_CORE):\n",
+ " lvi = deaths[c].last_valid_index()\n",
+ " f.write(f'| {c} | {countries.loc[c].countriesAndTerritories} | {int(deaths[c][lvi])} |\\n')\n",
+ " f.write('\\n')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 730,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open('covid_summary.md', 'a') as f:\n",
+ " f.write('\\n')\n",
+ " f.write('## All-causes deaths, UK\\n')\n",
+ " f.write('\\n')\n",
+ " f.write('![All-causes deaths](deaths-radar.png)\\n')\n",
+ " f.write('\\n')\n",
+ " f.write('### Excess deaths\\n')\n",
+ " f.write('\\n')\n",
+ " f.write(f'From week ending 20 March 2020 until week ending {pd.to_datetime(excess_deaths_upto).strftime(\"%d %B %Y\")}, ')\n",
+ " f.write(f'there were approximately **{excess_deaths:.0f}** excess deaths, over the average for the previous five years.\\n')\n",
+ " f.write('\\n')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 731,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open('covid_summary.md', 'a') as f:\n",
+ " f.write(f'In that period, the UK reported {ons_reported_deaths} Covid deaths.\\n')\n",
+ " f.write(f'In the last three weeks for which excess deaths have been reported, the excess deaths have been {excess_death_accuracy:.3f} higher than the Covid-reported deaths.\\n')\n",
+ "# f.write(f'That means the actual number of Covid death is about {excess_deaths / reported_deaths:.2f} times higher than the reported figures.\\n')\n",
+ " f.write('\\n')\n",
+ " f.write(f'The UK has reported {uk_covid_deaths} deaths so far.\\n')\n",
+ " f.write(f'Using the scaling factor above (for Covid-19 deaths after the ONS figures), I infer that there have been **{uk_deaths_to_date:.0f}** total deaths so far.\\n')\n",
+ " f.write('\\n')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 732,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open('covid_summary.md', 'a') as f:\n",
+ " f.write('\\n')\n",
+ " f.write('## Deaths per day\\n')\n",
+ " f.write(f'Based on a 7-day moving average\\n')\n",
+ " f.write('\\n')\n",
+ " f.write('![Deaths per day](covid_deaths_per_day_7.png)\\n')\n",
+ " f.write('\\n')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 733,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "24"
+ ]
+ },
+ "execution_count": 733,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "s_end - s_start - 1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 734,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open('covid_summary.md', 'a') as f:\n",
+ " f.write('\\n')\n",
+ " f.write('## Projected deaths\\n')\n",
+ " f.write(f\"The UK's daily deaths data is very similar to Italy's.\\n\")\n",
+ " f.write(f'If I use the Italian data for the next {s_end - s_start - 1} days (from {s_start_date.strftime(\"%d %B %Y\")} onwards),')\n",
+ " f.write(f' the UK will report {uk_projection.deaths.sum()} deaths on day {uk_end} of the epidemic.\\n')\n",
+ " f.write('\\n')\n",
+ " f.write('Using the excess deaths scaling from above, that will translate into ')\n",
+ " f.write(f'**{deaths_actual_projected_scaled:.0f}** Covid deaths total.\\n')\n",
+ " f.write('\\n')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 735,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open('covid_summary.md', 'a') as f:\n",
+ " f.write('\\n')\n",
+ " f.write('## Deaths doubling times\\n')\n",
+ " f.write(f'Based on a 7-day moving average\\n')\n",
+ " f.write('\\n')\n",
+ " f.write('![Deaths doubling times](covid_doubling_times_7.png)\\n')\n",
+ " f.write('\\n')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 736,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open('covid_summary.md', 'a') as f:\n",
+ " f.write('\\n')\n",
+ " f.write('## Cases per day and lockdown dates\\n')\n",
+ " f.write(f'Based on a 7-day moving average\\n')\n",
+ " f.write('\\n')\n",
+ " f.write('![Cases per day](cases_per_day_with_lockdown.png)\\n')\n",
+ " f.write('\\n')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 737,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open('covid_summary.md', 'a') as f:\n",
+ " f.write('\\n')\n",
+ " f.write('| Country ID | Country name | Most recent daily cases | Most recent daily deaths |\\n')\n",
+ " f.write('|:-----------|:-------------|------------------------:|-------------------------:|\\n')\n",
+ " for c in sorted(COUNTRIES_CORE):\n",
+ " lvic = cases_m7[c].last_valid_index()\n",
+ " lvid = deaths_m7[c].last_valid_index()\n",
+ " f.write(f'| {c} | {countries.loc[c].countriesAndTerritories} | {cases_m7[c][lvic]:.0f} | {deaths_m7[c][lvid]:.0f} | \\n')\n",
+ " f.write('\\n')\n",
+ " f.write('(Figures are 7-day averages)\\n')\n",
+ " f.write('\\n')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 738,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open('covid_summary.md', 'a') as f:\n",
+ " f.write('# Data sources\\n')\n",
+ " f.write('\\n')\n",
+ " f.write('> Covid data from [European Centre for Disease Prevention and Control](https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide)\\n')\n",
+ " f.write('\\n') \n",
+ " f.write(\"\"\"> Population data from:\n",
+ "\n",
+ "* [Office of National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/weeklyprovisionalfiguresondeathsregisteredinenglandandwales) (Endland and Wales) Weeks start on a Saturday.\n",
+ "* [Northern Ireland Statistics and Research Agency](https://www.nisra.gov.uk/publications/weekly-deaths) (Northern Ireland). Weeks start on a Saturday. Note that the week numbers don't match the England and Wales data.\n",
+ "* [National Records of Scotland](https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/general-publications/weekly-and-monthly-data-on-births-and-deaths/weekly-data-on-births-and-deaths) (Scotland). Note that Scotland uses ISO8601 week numbers, which start on a Monday.\"\"\")\n",
+ " \n",
+ " f.write('\\n\\n')\n",
+ " f.write('> [Source code available](https://git.njae.me.uk/?p=covid19.git;a=tree)\\n')\n",
+ " f.write('\\n') \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 739,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "!pandoc -s covid_summary.md > covid_summary.html"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 740,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "covid_summary.html 100% 7405 3.9MB/s 00:00 \n",
+ "covid_deaths_total_linear.png 100% 42KB 7.9MB/s 00:00 \n",
+ "deaths-radar.png 100% 199KB 10.4MB/s 00:00 \n",
+ "covid_deaths_per_day_7.png 100% 50KB 7.6MB/s 00:00 \n",
+ "covid_doubling_times_7.png 100% 31KB 7.2MB/s 00:00 \n",
+ "cases_per_day_with_lockdown.png 100% 104KB 9.9MB/s 00:00 \n"
+ ]
+ }
+ ],
+ "source": [
+ "!scp covid_summary.html neil@ogedei:/var/www/scripts.njae.me.uk/covid/index.html\n",
+ "!scp covid_deaths_total_linear.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp deaths-radar.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp covid_deaths_per_day_7.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp covid_doubling_times_7.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp cases_per_day_with_lockdown.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 741,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "with open('uk_covid_deaths.js', 'w') as f:\n",
+ " f.write(f\"document.write('{uk_covid_deaths}');\")\n",
+ " \n",
+ "with open('estimated_total_deaths.js', 'w') as f:\n",
+ " f.write(f\"document.write('{uk_deaths_to_date:.0f}');\")\n",
+ "\n",
+ "with open('projection_date.js', 'w') as f:\n",
+ " f.write(f\"document.write(\\'{projection_date.strftime('%d %B %Y')}\\');\")\n",
+ "\n",
+ "with open('projected_deaths.js', 'w') as f:\n",
+ " f.write(f\"document.write('{uk_projection.deaths.sum():.0f}');\")\n",
+ "\n",
+ "with open('projected_excess_deaths.js', 'w') as f:\n",
+ " f.write(f\"document.write('{deaths_actual_projected_scaled:.0f}');\")\n",
+ "\n",
+ "with open('excess_deaths_upto.js', 'w') as f:\n",
+ " f.write(f\"document.write('{pd.to_datetime(excess_deaths_upto).strftime('%d %B %Y')}');\")\n",
+ "\n",
+ "with open('excess_deaths.js', 'w') as f:\n",
+ " f.write(f\"document.write('{excess_deaths:.0f}');\")\n",
+ " \n",
+ "with open('reported_deaths.js', 'w') as f:\n",
+ " f.write(f\"document.write('{ons_reported_deaths:.0f}');\")\n",
+ " \n",
+ "with open('scaling_factor.js', 'w') as f:\n",
+ " f.write(f\"document.write('{excess_death_accuracy:.2f}');\") \n",
+ "\n",
+ "with open('projection_length.js', 'w') as f:\n",
+ " f.write(f\"document.write('{s_end - s_start - 1}');\")\n",
+ " \n",
+ "with open('s_end.js', 'w') as f:\n",
+ " f.write(f\"document.write('{s_end}');\")\n",
+ " \n",
+ "s_start_date_str = s_start_date.strftime(\"%d %B %Y\")\n",
+ "with open('s_start_date.js', 'w') as f:\n",
+ " f.write(f\"document.write('{s_start_date_str}');\")\n",
+ " \n",
+ "with open('uk_end.js', 'w') as f:\n",
+ " f.write(f\"document.write('{uk_end}');\")\n",
+ " \n",
+ "with open('last_uk_date.js', 'w') as f:\n",
+ " f.write(f\"document.write('{pd.to_datetime(last_uk_date).strftime('%d %B %Y')}');\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 742,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'03 July 2020'"
+ ]
+ },
+ "execution_count": 742,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pd.to_datetime(excess_deaths_upto).strftime('%d %B %Y')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 743,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "uk_covid_deaths.js 100% 24 25.7KB/s 00:00 \n",
+ "estimated_total_deaths.js 100% 24 24.7KB/s 00:00 \n",
+ "projection_date.js 100% 36 41.9KB/s 00:00 \n",
+ "projected_deaths.js 100% 24 25.1KB/s 00:00 \n",
+ "projected_excess_deaths.js 100% 24 19.9KB/s 00:00 \n",
+ "excess_deaths_upto.js 100% 31 28.2KB/s 00:00 \n",
+ "excess_deaths.js 100% 24 19.9KB/s 00:00 \n",
+ "reported_deaths.js 100% 24 19.5KB/s 00:00 \n",
+ "scaling_factor.js 100% 23 30.1KB/s 00:00 \n",
+ "projection_length.js 100% 21 21.3KB/s 00:00 \n",
+ "s_end.js 100% 22 23.2KB/s 00:00 \n",
+ "s_start_date.js 100% 30 23.3KB/s 00:00 \n",
+ "uk_end.js 100% 22 23.8KB/s 00:00 \n",
+ "last_uk_date.js 100% 33 42.3KB/s 00:00 \n"
+ ]
+ }
+ ],
+ "source": [
+ "!scp uk_covid_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp estimated_total_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp projection_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp projected_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp projected_excess_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp excess_deaths_upto.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp excess_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp reported_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp scaling_factor.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp projection_length.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp s_end.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp s_start_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp uk_end.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
+ "!scp last_uk_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/ "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 744,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data_by_date.loc['UK'].to_csv('data_by_day_uk.csv', header=True, index=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 745,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[<matplotlib.axis.XTick at 0x7f03f7822150>,\n",
+ " <matplotlib.axis.XTick at 0x7f03f57b7810>,\n",
+ " <matplotlib.axis.XTick at 0x7f03f5480410>,\n",
+ " <matplotlib.axis.XTick at 0x7f03f5c85b90>,\n",
+ " <matplotlib.axis.XTick at 0x7f03f5c85090>,\n",
+ " <matplotlib.axis.XTick at 0x7f03f517f550>]"
+ ]
+ },
+ "execution_count": 745,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 864x576 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ukd = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), ['deaths', 'deaths_m7']].droplevel(1)\n",
+ "ax = ukd.deaths.plot.bar(figsize=(12, 8))\n",
+ "ukd.deaths_m7.plot.line(ax=ax, color='red')\n",
+ "# ax = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'deaths_m7'].plot.line(figsize=(12, 8), color='red')\n",
+ "# ax = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'deaths'].plot.bar(ax=ax)\n",
+ "ax.set_xticks(range(0, 120, 20))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 746,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([ 0, 20, 40, 60, 80, 100, 120])"
+ ]
+ },
+ "execution_count": 746,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.arange(0, 130, 20)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 747,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>cases</th>\n",
+ " <th>deaths</th>\n",
+ " <th>cases_culm</th>\n",
+ " <th>deaths_culm</th>\n",
+ " <th>cases_diff</th>\n",
+ " <th>deaths_diff</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>dateRep</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2019-12-31</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-01-01</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-01-02</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-01-03</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-01-04</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-15</td>\n",
+ " <td>1440</td>\n",
+ " <td>11</td>\n",
+ " <td>316367</td>\n",
+ " <td>41358</td>\n",
+ " <td>311.0</td>\n",
+ " <td>-7.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-16</td>\n",
+ " <td>1077</td>\n",
+ " <td>3</td>\n",
+ " <td>317444</td>\n",
+ " <td>41361</td>\n",
+ " <td>-363.0</td>\n",
+ " <td>-8.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-17</td>\n",
+ " <td>1040</td>\n",
+ " <td>5</td>\n",
+ " <td>318484</td>\n",
+ " <td>41366</td>\n",
+ " <td>-37.0</td>\n",
+ " <td>2.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-18</td>\n",
+ " <td>713</td>\n",
+ " <td>3</td>\n",
+ " <td>319197</td>\n",
+ " <td>41369</td>\n",
+ " <td>-327.0</td>\n",
+ " <td>-2.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-19</td>\n",
+ " <td>1089</td>\n",
+ " <td>12</td>\n",
+ " <td>320286</td>\n",
+ " <td>41381</td>\n",
+ " <td>376.0</td>\n",
+ " <td>9.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>233 rows × 6 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " cases deaths cases_culm deaths_culm cases_diff deaths_diff\n",
+ "dateRep \n",
+ "2019-12-31 0 0 0 0 NaN NaN\n",
+ "2020-01-01 0 0 0 0 0.0 0.0\n",
+ "2020-01-02 0 0 0 0 0.0 0.0\n",
+ "2020-01-03 0 0 0 0 0.0 0.0\n",
+ "2020-01-04 0 0 0 0 0.0 0.0\n",
+ "... ... ... ... ... ... ...\n",
+ "2020-08-15 1440 11 316367 41358 311.0 -7.0\n",
+ "2020-08-16 1077 3 317444 41361 -363.0 -8.0\n",
+ "2020-08-17 1040 5 318484 41366 -37.0 2.0\n",
+ "2020-08-18 713 3 319197 41369 -327.0 -2.0\n",
+ "2020-08-19 1089 12 320286 41381 376.0 9.0\n",
+ "\n",
+ "[233 rows x 6 columns]"
+ ]
+ },
+ "execution_count": 747,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data_by_date.loc['UK']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 748,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.axes._subplots.AxesSubplot at 0x7f03f53cfe50>"
+ ]
+ },
+ "execution_count": 748,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "data_by_date.loc['UK'].plot(x='deaths_culm', y='deaths', logx=True, logy=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 749,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.axes._subplots.AxesSubplot at 0x7f03f767bd10>"
+ ]
+ },
+ "execution_count": 749,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "data_by_date.loc['UK'].plot(x='cases_culm', y='cases')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 750,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>cases</th>\n",
+ " <th>deaths</th>\n",
+ " <th>cases_culm</th>\n",
+ " <th>deaths_culm</th>\n",
+ " <th>cases_diff</th>\n",
+ " <th>deaths_diff</th>\n",
+ " <th>deaths_m7</th>\n",
+ " <th>cases_m7</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>dateRep</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td>2019-12-31</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-01-01</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-01-02</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-01-03</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-01-04</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-15</td>\n",
+ " <td>1440</td>\n",
+ " <td>11</td>\n",
+ " <td>316367</td>\n",
+ " <td>41358</td>\n",
+ " <td>311.0</td>\n",
+ " <td>-7.0</td>\n",
+ " <td>12.571429</td>\n",
+ " <td>1051.714286</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-16</td>\n",
+ " <td>1077</td>\n",
+ " <td>3</td>\n",
+ " <td>317444</td>\n",
+ " <td>41361</td>\n",
+ " <td>-363.0</td>\n",
+ " <td>-8.0</td>\n",
+ " <td>12.571429</td>\n",
+ " <td>1097.285714</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-17</td>\n",
+ " <td>1040</td>\n",
+ " <td>5</td>\n",
+ " <td>318484</td>\n",
+ " <td>41366</td>\n",
+ " <td>-37.0</td>\n",
+ " <td>2.0</td>\n",
+ " <td>12.571429</td>\n",
+ " <td>1094.142857</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-18</td>\n",
+ " <td>713</td>\n",
+ " <td>3</td>\n",
+ " <td>319197</td>\n",
+ " <td>41369</td>\n",
+ " <td>-327.0</td>\n",
+ " <td>-2.0</td>\n",
+ " <td>10.428571</td>\n",
+ " <td>1079.428571</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-19</td>\n",
+ " <td>1089</td>\n",
+ " <td>12</td>\n",
+ " <td>320286</td>\n",
+ " <td>41381</td>\n",
+ " <td>376.0</td>\n",
+ " <td>9.0</td>\n",
+ " <td>10.285714</td>\n",
+ " <td>1071.000000</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>233 rows × 8 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " cases deaths cases_culm deaths_culm cases_diff deaths_diff \\\n",
+ "dateRep \n",
+ "2019-12-31 0 0 0 0 NaN NaN \n",
+ "2020-01-01 0 0 0 0 0.0 0.0 \n",
+ "2020-01-02 0 0 0 0 0.0 0.0 \n",
+ "2020-01-03 0 0 0 0 0.0 0.0 \n",
+ "2020-01-04 0 0 0 0 0.0 0.0 \n",
+ "... ... ... ... ... ... ... \n",
+ "2020-08-15 1440 11 316367 41358 311.0 -7.0 \n",
+ "2020-08-16 1077 3 317444 41361 -363.0 -8.0 \n",
+ "2020-08-17 1040 5 318484 41366 -37.0 2.0 \n",
+ "2020-08-18 713 3 319197 41369 -327.0 -2.0 \n",
+ "2020-08-19 1089 12 320286 41381 376.0 9.0 \n",
+ "\n",
+ " deaths_m7 cases_m7 \n",
+ "dateRep \n",
+ "2019-12-31 0.000000 0.000000 \n",
+ "2020-01-01 0.000000 0.000000 \n",
+ "2020-01-02 0.000000 0.000000 \n",
+ "2020-01-03 0.000000 0.000000 \n",
+ "2020-01-04 0.000000 0.000000 \n",
+ "... ... ... \n",
+ "2020-08-15 12.571429 1051.714286 \n",
+ "2020-08-16 12.571429 1097.285714 \n",
+ "2020-08-17 12.571429 1094.142857 \n",
+ "2020-08-18 10.428571 1079.428571 \n",
+ "2020-08-19 10.285714 1071.000000 \n",
+ "\n",
+ "[233 rows x 8 columns]"
+ ]
+ },
+ "execution_count": 750,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ukdbd = data_by_date.loc['UK'].copy()\n",
+ "ukdbd['deaths_m7'] = ukdbd.deaths.transform(lambda x: x.rolling(7, 1).mean())\n",
+ "ukdbd['cases_m7'] = ukdbd.cases.transform(lambda x: x.rolling(7, 1).mean())\n",
+ "ukdbd"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 751,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.axes._subplots.AxesSubplot at 0x7f03fc51b690>"
+ ]
+ },
+ "execution_count": 751,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ukdbd.plot(x='deaths_culm', y='deaths_m7', logx=True, logy=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 752,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 864x576 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fig, ax = plt.subplots(figsize=(12, 8))\n",
+ "xmax = 10\n",
+ "for c in COUNTRIES_CORE:\n",
+ " if data_since_threshold.loc[(slice(None), c), 'deaths_culm'].max() > xmax:\n",
+ " xmax = data_since_threshold.loc[(slice(None), c), 'deaths_culm'].max()\n",
+ " data_since_threshold.loc[(slice(None), c), :].plot(x='deaths_culm', y='deaths_m7', logx=True, logy=True, xlim=(10, xmax * 1.1), label=c, ax=ax)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 753,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "41381"
+ ]
+ },
+ "execution_count": 753,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data_since_threshold.loc[(slice(None), 'UK'), 'deaths_culm'].max()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 754,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array(['Asia', 'Europe', 'Africa', 'America', 'Oceania', 'Other'],\n",
+ " dtype=object)"
+ ]
+ },
+ "execution_count": 754,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "countries.continentExp.unique()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 755,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "countriesAndTerritories Kuwait\n",
+ "popData2019 4207077\n",
+ "continentExp Asia\n",
+ "Name: KW, dtype: object"
+ ]
+ },
+ "execution_count": 755,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "countries.loc['KW']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 756,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "geoId dateRep \n",
+ "AD 2020-03-03 1.0\n",
+ " 2020-03-14 1.0\n",
+ " 2020-03-16 2.0\n",
+ " 2020-03-17 1.0\n",
+ " 2020-03-18 2.0\n",
+ " ... \n",
+ "ZW 2020-08-15 NaN\n",
+ " 2020-08-16 NaN\n",
+ " 2020-08-17 NaN\n",
+ " 2020-08-18 NaN\n",
+ " 2020-08-19 NaN\n",
+ "Name: deaths, Length: 37238, dtype: float64"
+ ]
+ },
+ "execution_count": 756,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data_by_date.groupby(level=0)['deaths'].shift(-25)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 757,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th>cases</th>\n",
+ " <th>deaths</th>\n",
+ " <th>cases_m7</th>\n",
+ " <th>deaths_m7</th>\n",
+ " <th>deaths_per_case</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>geoId</th>\n",
+ " <th>dateRep</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <td rowspan=\"5\" valign=\"top\">AD</td>\n",
+ " <td>2020-03-03</td>\n",
+ " <td>1</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.000000</td>\n",
+ " <td>1.000000</td>\n",
+ " <td>1.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-03-14</td>\n",
+ " <td>1</td>\n",
+ " <td>1.0</td>\n",
+ " <td>1.000000</td>\n",
+ " <td>1.000000</td>\n",
+ " <td>1.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-03-16</td>\n",
+ " <td>3</td>\n",
+ " <td>2.0</td>\n",
+ " <td>1.666667</td>\n",
+ " <td>1.333333</td>\n",
+ " <td>0.800000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-03-17</td>\n",
+ " <td>9</td>\n",
+ " <td>1.0</td>\n",
+ " <td>3.500000</td>\n",
+ " <td>1.250000</td>\n",
+ " <td>0.357143</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-03-18</td>\n",
+ " <td>0</td>\n",
+ " <td>2.0</td>\n",
+ " <td>2.800000</td>\n",
+ " <td>1.400000</td>\n",
+ " <td>0.500000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td rowspan=\"5\" valign=\"top\">ZW</td>\n",
+ " <td>2020-08-15</td>\n",
+ " <td>82</td>\n",
+ " <td>NaN</td>\n",
+ " <td>88.714286</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-16</td>\n",
+ " <td>104</td>\n",
+ " <td>NaN</td>\n",
+ " <td>85.857143</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-17</td>\n",
+ " <td>85</td>\n",
+ " <td>NaN</td>\n",
+ " <td>87.428571</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-18</td>\n",
+ " <td>47</td>\n",
+ " <td>NaN</td>\n",
+ " <td>80.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-19</td>\n",
+ " <td>70</td>\n",
+ " <td>NaN</td>\n",
+ " <td>80.000000</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>37238 rows × 5 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " cases deaths cases_m7 deaths_m7 deaths_per_case\n",
+ "geoId dateRep \n",
+ "AD 2020-03-03 1 1.0 1.000000 1.000000 1.000000\n",
+ " 2020-03-14 1 1.0 1.000000 1.000000 1.000000\n",
+ " 2020-03-16 3 2.0 1.666667 1.333333 0.800000\n",
+ " 2020-03-17 9 1.0 3.500000 1.250000 0.357143\n",
+ " 2020-03-18 0 2.0 2.800000 1.400000 0.500000\n",
+ "... ... ... ... ... ...\n",
+ "ZW 2020-08-15 82 NaN 88.714286 NaN NaN\n",
+ " 2020-08-16 104 NaN 85.857143 NaN NaN\n",
+ " 2020-08-17 85 NaN 87.428571 NaN NaN\n",
+ " 2020-08-18 47 NaN 80.000000 NaN NaN\n",
+ " 2020-08-19 70 NaN 80.000000 NaN NaN\n",
+ "\n",
+ "[37238 rows x 5 columns]"
+ ]
+ },
+ "execution_count": 757,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "offset_data = data_by_date.loc[:, ['cases']]\n",
+ "offset_data['deaths'] = data_by_date.groupby(level=0)['deaths'].shift(-25)\n",
+ "offset_data['cases_m7'] = offset_data.groupby(level=0)['cases'].transform(lambda x: x.rolling(7, 1).mean())\n",
+ "offset_data['deaths_m7'] = offset_data['deaths'].dropna().groupby(level=0).transform(lambda x: x.rolling(7, 1).mean())\n",
+ "offset_data['deaths_per_case'] = offset_data.deaths_m7 / offset_data.cases_m7\n",
+ "offset_data"
+ ]
+ },
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+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-15</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>...</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-16</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>...</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-17</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>...</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-18</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>...</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>2020-08-19</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>...</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",