diff --git a/docs/notebooks/RunWindFarmSimulation.ipynb b/docs/notebooks/RunWindFarmSimulation.ipynb
index db62c40cd93f08530fd906242d3ad4a2f55d17a0..984c5a15ceeb13ad4ebc7bfede19d9adc2871f4d 100644
--- a/docs/notebooks/RunWindFarmSimulation.ipynb
+++ b/docs/notebooks/RunWindFarmSimulation.ipynb
@@ -495,16 +495,17 @@
" ws_lower (ws) float64 9.3\n",
" ws_upper (ws) float64 10.3\n",
" P (wd) float64 0.001111 0.001111 0.001111 ... 0.001111 0.001111\n",
+ " yaw object None\n",
" Yaw (wt, wd, ws) float64 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
"Attributes:\n",
- " wd_bin_size: 1</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.SimulationResult</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-550415ba-9112-455b-ac95-a76c765c603f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-550415ba-9112-455b-ac95-a76c765c603f' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>wd</span>: 360</li><li><span class='xr-has-index'>ws</span>: 1</li><li><span class='xr-has-index'>wt</span>: 16</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-774375d4-0999-4e6e-9ba3-f32bc7a079ee' class='xr-section-summary-in' type='checkbox' checked><label for='section-774375d4-0999-4e6e-9ba3-f32bc7a079ee' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wt</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 10 11 12 13 14 15</div><input id='attrs-71cf81af-1672-4ac5-8357-8b0829df2624' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71cf81af-1672-4ac5-8357-8b0829df2624' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4fa9a0f-6adf-4faa-a23c-b7b87103814f' class='xr-var-data-in' type='checkbox'><label for='data-a4fa9a0f-6adf-4faa-a23c-b7b87103814f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine number</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wd</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 355 356 357 358 359</div><input id='attrs-9ad1ee85-5807-469f-af1c-65d4200d7324' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ad1ee85-5807-469f-af1c-65d4200d7324' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9805df64-65e5-4a42-9115-b2a070c40058' class='xr-var-data-in' type='checkbox'><label for='data-9805df64-65e5-4a42-9115-b2a070c40058' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Local free-stream wind direction [deg]</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 357, 358, 359])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.8</div><input id='attrs-fd967219-7680-4883-8bd5-f7a4631f844b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd967219-7680-4883-8bd5-f7a4631f844b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7313029b-ef18-482b-9cf7-17a013796ad7' class='xr-var-data-in' type='checkbox'><label for='data-7313029b-ef18-482b-9cf7-17a013796ad7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([9.8])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 650.0 200.9 ... 401.7 1.052e+03</div><input id='attrs-84df86ee-10da-4beb-9cbd-c4e43fee2324' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84df86ee-10da-4beb-9cbd-c4e43fee2324' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ca01257-eafe-4ac4-9777-4c9ccbf273ee' class='xr-var-data-in' type='checkbox'><label for='data-4ca01257-eafe-4ac4-9777-4c9ccbf273ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine x coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 650. , 200.861 , -525.861 , -525.861 ,\n",
+ " wd_bin_size: 1</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.SimulationResult</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-74d4f057-194d-4ff1-80e8-451aa0cef537' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-74d4f057-194d-4ff1-80e8-451aa0cef537' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>wd</span>: 360</li><li><span class='xr-has-index'>ws</span>: 1</li><li><span class='xr-has-index'>wt</span>: 16</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3a713186-6878-4f7c-a068-e1049bf55699' class='xr-section-summary-in' type='checkbox' checked><label for='section-3a713186-6878-4f7c-a068-e1049bf55699' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wt</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 10 11 12 13 14 15</div><input id='attrs-0b790868-c8cf-4b5a-a766-4effba332a9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b790868-c8cf-4b5a-a766-4effba332a9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42e795f8-fdf0-407b-b571-89ad341cf50e' class='xr-var-data-in' type='checkbox'><label for='data-42e795f8-fdf0-407b-b571-89ad341cf50e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine number</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wd</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 355 356 357 358 359</div><input id='attrs-36dfcaac-f086-4d51-8fb9-51cc61daf981' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36dfcaac-f086-4d51-8fb9-51cc61daf981' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95e389c3-5f14-49b4-9e4f-2f38753f71b6' class='xr-var-data-in' type='checkbox'><label for='data-95e389c3-5f14-49b4-9e4f-2f38753f71b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Local free-stream wind direction [deg]</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 357, 358, 359])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.8</div><input id='attrs-6d5373f1-8acc-4978-85af-2401e8f3c865' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d5373f1-8acc-4978-85af-2401e8f3c865' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64e26d4a-2ff7-4a9f-acd1-2d20ac6f134d' class='xr-var-data-in' type='checkbox'><label for='data-64e26d4a-2ff7-4a9f-acd1-2d20ac6f134d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([9.8])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 650.0 200.9 ... 401.7 1.052e+03</div><input id='attrs-063e0728-4794-4c18-93d9-3be9b665ca3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-063e0728-4794-4c18-93d9-3be9b665ca3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e2010a8-681f-43ac-9ae0-98d57c1b213a' class='xr-var-data-in' type='checkbox'><label for='data-1e2010a8-681f-43ac-9ae0-98d57c1b213a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine x coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 650. , 200.861 , -525.861 , -525.861 ,\n",
" 200.861 , 1300. , 1051.7221, 401.7221, -401.7221,\n",
" -1051.7221, -1300. , -1051.7221, -401.7221, 401.7221,\n",
- " 1051.7221])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 618.2 ... -1.236e+03 -764.1</div><input id='attrs-554063b9-0bf6-4c86-866f-a2c091710805' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-554063b9-0bf6-4c86-866f-a2c091710805' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdab60fb-4978-463d-802c-d11c6beafd70' class='xr-var-data-in' type='checkbox'><label for='data-fdab60fb-4978-463d-802c-d11c6beafd70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine y coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 0. , 618.1867, 382.0604, -382.0604,\n",
+ " 1051.7221])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 618.2 ... -1.236e+03 -764.1</div><input id='attrs-f338fd33-9571-4ba8-b72f-9f4503cf3691' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f338fd33-9571-4ba8-b72f-9f4503cf3691' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1598b6a4-bf44-4d05-b21a-fb47578e7364' class='xr-var-data-in' type='checkbox'><label for='data-1598b6a4-bf44-4d05-b21a-fb47578e7364' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine y coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 0. , 618.1867, 382.0604, -382.0604,\n",
" -618.1867, 0. , 764.1208, 1236.3735, 1236.3735,\n",
" 764.1208, 0. , -764.1208, -1236.3735, -1236.3735,\n",
- " -764.1208])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>h</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>110.0 110.0 110.0 ... 110.0 110.0</div><input id='attrs-d3aa310f-5c53-4a2b-9760-1691b11707f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3aa310f-5c53-4a2b-9760-1691b11707f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d15cc329-7e73-45e6-b000-0461fc9302ef' class='xr-var-data-in' type='checkbox'><label for='data-d15cc329-7e73-45e6-b000-0461fc9302ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine hub height [m]</dd></dl></div><div class='xr-var-data'><pre>array([110., 110., 110., 110., 110., 110., 110., 110., 110., 110., 110.,\n",
- " 110., 110., 110., 110., 110.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>type</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0</div><input id='attrs-5a7d5824-2942-49c6-9cb9-a54da8493983' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a7d5824-2942-49c6-9cb9-a54da8493983' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f8465ed-866d-4557-8e77-b93f8ce781b0' class='xr-var-data-in' type='checkbox'><label for='data-5f8465ed-866d-4557-8e77-b93f8ce781b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine type</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-221e188f-19a2-4f14-ac9d-a92104e0e085' class='xr-section-summary-in' type='checkbox' checked><label for='section-221e188f-19a2-4f14-ac9d-a92104e0e085' class='xr-section-summary' >Data variables: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>WS_eff</span></div><div class='xr-var-dims'>(wt, wd, ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.776 9.761 9.738 ... 8.888 8.775</div><input id='attrs-2b5ca955-3568-4b72-8f6a-4151f9390ff2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b5ca955-3568-4b72-8f6a-4151f9390ff2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68edec80-1e53-46dc-80a0-17ce08a8bdf7' class='xr-var-data-in' type='checkbox'><label for='data-68edec80-1e53-46dc-80a0-17ce08a8bdf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Effective local wind speed [m/s]</dd></dl></div><div class='xr-var-data'><pre>array([[[9.7764691 ],\n",
+ " -764.1208])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>h</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>110.0 110.0 110.0 ... 110.0 110.0</div><input id='attrs-b2f2605a-a776-4723-aedd-7c923b3cd41e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2f2605a-a776-4723-aedd-7c923b3cd41e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a17e1917-d838-4647-a301-91df56a775af' class='xr-var-data-in' type='checkbox'><label for='data-a17e1917-d838-4647-a301-91df56a775af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine hub height [m]</dd></dl></div><div class='xr-var-data'><pre>array([110., 110., 110., 110., 110., 110., 110., 110., 110., 110., 110.,\n",
+ " 110., 110., 110., 110., 110.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>type</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0</div><input id='attrs-0fa537f2-7ff9-49fe-ab81-acc844e37320' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fa537f2-7ff9-49fe-ab81-acc844e37320' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13f4b3c6-45ac-41d7-ad9c-d103d1e117be' class='xr-var-data-in' type='checkbox'><label for='data-13f4b3c6-45ac-41d7-ad9c-d103d1e117be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine type</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c67596b4-bdb1-4fdc-a911-12443ed8494c' class='xr-section-summary-in' type='checkbox' checked><label for='section-c67596b4-bdb1-4fdc-a911-12443ed8494c' class='xr-section-summary' >Data variables: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>WS_eff</span></div><div class='xr-var-dims'>(wt, wd, ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.776 9.761 9.738 ... 8.888 8.775</div><input id='attrs-9f1420f4-1230-4e32-a69a-f9a75a1e2059' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f1420f4-1230-4e32-a69a-f9a75a1e2059' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e008d770-13e4-422f-847a-5f8a87f07f8e' class='xr-var-data-in' type='checkbox'><label for='data-e008d770-13e4-422f-847a-5f8a87f07f8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Effective local wind speed [m/s]</dd></dl></div><div class='xr-var-data'><pre>array([[[9.7764691 ],\n",
" [9.76139563],\n",
" [9.73841915],\n",
" ...,\n",
@@ -544,7 +545,7 @@
" ...,\n",
" [9.04859953],\n",
" [8.88766409],\n",
- " [8.77505072]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TI_eff</span></div><div class='xr-var-dims'>(wt, wd, ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.075 0.075 0.075 ... 0.075 0.075</div><input id='attrs-68dce894-a6c9-4fca-9488-872496d29662' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68dce894-a6c9-4fca-9488-872496d29662' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d0c4802-5841-4557-8663-f2bf29923296' class='xr-var-data-in' type='checkbox'><label for='data-2d0c4802-5841-4557-8663-f2bf29923296' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Effective local turbulence intensity</dd></dl></div><div class='xr-var-data'><pre>array([[[0.075],\n",
+ " [8.77505072]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TI_eff</span></div><div class='xr-var-dims'>(wt, wd, ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.075 0.075 0.075 ... 0.075 0.075</div><input id='attrs-b9d2b245-4539-4b55-88aa-f1246236e7a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9d2b245-4539-4b55-88aa-f1246236e7a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18f0b26c-4e49-49a8-a441-1511fc69c7c6' class='xr-var-data-in' type='checkbox'><label for='data-18f0b26c-4e49-49a8-a441-1511fc69c7c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Effective local turbulence intensity</dd></dl></div><div class='xr-var-data'><pre>array([[[0.075],\n",
" [0.075],\n",
" [0.075],\n",
" ...,\n",
@@ -584,7 +585,7 @@
" ...,\n",
" [0.075],\n",
" [0.075],\n",
- " [0.075]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Power</span></div><div class='xr-var-dims'>(wt, wd, ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.309e+06 3.284e+06 ... 1.869e+06</div><input id='attrs-55161b72-084b-4428-ac3f-595f7b82b03d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55161b72-084b-4428-ac3f-595f7b82b03d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac3a2fb5-bc22-4978-979a-56293895fd2a' class='xr-var-data-in' type='checkbox'><label for='data-ac3a2fb5-bc22-4978-979a-56293895fd2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Power [W]</dd></dl></div><div class='xr-var-data'><pre>array([[[3309391.82697504],\n",
+ " [0.075]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Power</span></div><div class='xr-var-dims'>(wt, wd, ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.309e+06 3.284e+06 ... 1.869e+06</div><input id='attrs-db750ace-5a1c-435f-8d22-2c1d6fc13dc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db750ace-5a1c-435f-8d22-2c1d6fc13dc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-094d68c3-f729-4adf-8273-6c6e66fb602e' class='xr-var-data-in' type='checkbox'><label for='data-094d68c3-f729-4adf-8273-6c6e66fb602e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Power [W]</dd></dl></div><div class='xr-var-data'><pre>array([[[3309391.82697504],\n",
" [3283552.18204192],\n",
" [3244424.16636096],\n",
" ...,\n",
@@ -624,7 +625,7 @@
" ...,\n",
" [2209396.15449753],\n",
" [2004771.4994919 ],\n",
- " [1869367.94993792]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CT</span></div><div class='xr-var-dims'>(wt, wd, ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8889 0.8889 ... 0.8889 0.8889</div><input id='attrs-a6d0a689-20ad-4fd6-81ac-e4358d30a944' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6d0a689-20ad-4fd6-81ac-e4358d30a944' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d72f968-5f82-4118-8069-67bf4a6b3d9d' class='xr-var-data-in' type='checkbox'><label for='data-1d72f968-5f82-4118-8069-67bf4a6b3d9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Thrust coefficient</dd></dl></div><div class='xr-var-data'><pre>array([[[0.88888889],\n",
+ " [1869367.94993792]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CT</span></div><div class='xr-var-dims'>(wt, wd, ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8889 0.8889 ... 0.8889 0.8889</div><input id='attrs-f1c9a7b2-2341-4844-bc0e-5f7d3ed57483' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1c9a7b2-2341-4844-bc0e-5f7d3ed57483' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-818cc49e-4256-42fd-a724-ddeac5c611de' class='xr-var-data-in' type='checkbox'><label for='data-818cc49e-4256-42fd-a724-ddeac5c611de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Thrust coefficient</dd></dl></div><div class='xr-var-data'><pre>array([[[0.88888889],\n",
" [0.88888889],\n",
" [0.88888889],\n",
" ...,\n",
@@ -664,7 +665,7 @@
" ...,\n",
" [0.88888889],\n",
" [0.88888889],\n",
- " [0.88888889]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WS</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.8</div><input id='attrs-6dd2df70-035b-4fd2-9b23-ae2c5e10a54f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6dd2df70-035b-4fd2-9b23-ae2c5e10a54f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3ae34a2-d84d-4216-8912-19ba473babfa' class='xr-var-data-in' type='checkbox'><label for='data-f3ae34a2-d84d-4216-8912-19ba473babfa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Local free-stream wind speed [m/s]</dd></dl></div><div class='xr-var-data'><pre>array([9.8])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WD</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 355 356 357 358 359</div><input id='attrs-3ff0366e-7b6a-42a1-a108-b11a7d215328' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ff0366e-7b6a-42a1-a108-b11a7d215328' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f464ae60-63dc-4771-9023-45240345fdca' class='xr-var-data-in' type='checkbox'><label for='data-f464ae60-63dc-4771-9023-45240345fdca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Local free-stream wind direction [deg]</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 357, 358, 359])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TI</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.075</div><input id='attrs-6a093eea-132a-4b57-9df8-f1f86d9e9913' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a093eea-132a-4b57-9df8-f1f86d9e9913' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05eac655-9f9b-4c4c-81f5-430c9ea2c914' class='xr-var-data-in' type='checkbox'><label for='data-05eac655-9f9b-4c4c-81f5-430c9ea2c914' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Local free-stream turbulence intensity</dd></dl></div><div class='xr-var-data'><pre>array(0.075)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ws_lower</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.3</div><input id='attrs-4107abab-d812-4eda-b21b-7b1e4778b554' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4107abab-d812-4eda-b21b-7b1e4778b554' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-734d1300-22a0-4b29-879f-3b3d21e4f28f' class='xr-var-data-in' type='checkbox'><label for='data-734d1300-22a0-4b29-879f-3b3d21e4f28f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Lower bound of wind speed bins [m/s]</dd></dl></div><div class='xr-var-data'><pre>array([9.3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ws_upper</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.3</div><input id='attrs-75833747-1c67-4628-898f-36e4cb96a6a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75833747-1c67-4628-898f-36e4cb96a6a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a557e8a-4279-481e-8020-db0fb3c683e1' class='xr-var-data-in' type='checkbox'><label for='data-9a557e8a-4279-481e-8020-db0fb3c683e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Upper bound of wind speed bins [m/s]</dd></dl></div><div class='xr-var-data'><pre>array([10.3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001111 0.001111 ... 0.001111</div><input id='attrs-8468a724-6275-4be2-b31b-63b909babc82' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8468a724-6275-4be2-b31b-63b909babc82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efbebdbe-03db-4f76-a436-abe32e6b4cd1' class='xr-var-data-in' type='checkbox'><label for='data-efbebdbe-03db-4f76-a436-abe32e6b4cd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00111111, 0.00111111, 0.00111111, 0.00111111, 0.00111111,\n",
+ " [0.88888889]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WS</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.8</div><input id='attrs-ac39dd7f-b1ba-4ffd-ace6-1ed5b8893615' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac39dd7f-b1ba-4ffd-ace6-1ed5b8893615' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-477949cd-fdfc-481b-8e83-9fdbcddd1b6a' class='xr-var-data-in' type='checkbox'><label for='data-477949cd-fdfc-481b-8e83-9fdbcddd1b6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Local free-stream wind speed [m/s]</dd></dl></div><div class='xr-var-data'><pre>array([9.8])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WD</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 355 356 357 358 359</div><input id='attrs-bd905bf4-e24b-45d0-96ac-5ae926bceb43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd905bf4-e24b-45d0-96ac-5ae926bceb43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fb80842-47b3-4ba8-925e-080c0087bcf3' class='xr-var-data-in' type='checkbox'><label for='data-6fb80842-47b3-4ba8-925e-080c0087bcf3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Local free-stream wind direction [deg]</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 357, 358, 359])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TI</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.075</div><input id='attrs-ec94159a-c255-48a5-b4ee-e098938cc8f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec94159a-c255-48a5-b4ee-e098938cc8f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dcf3629-87cf-44a4-8447-b927072d07c8' class='xr-var-data-in' type='checkbox'><label for='data-1dcf3629-87cf-44a4-8447-b927072d07c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Local free-stream turbulence intensity</dd></dl></div><div class='xr-var-data'><pre>array(0.075)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ws_lower</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.3</div><input id='attrs-9f789bcc-dd12-4a5b-92dd-7889c0319103' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f789bcc-dd12-4a5b-92dd-7889c0319103' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8433d89a-23a0-4bd3-b36b-88799caf3ba9' class='xr-var-data-in' type='checkbox'><label for='data-8433d89a-23a0-4bd3-b36b-88799caf3ba9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Lower bound of wind speed bins [m/s]</dd></dl></div><div class='xr-var-data'><pre>array([9.3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ws_upper</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.3</div><input id='attrs-dc1c1f3b-7496-4e58-84d3-0faced4d2152' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc1c1f3b-7496-4e58-84d3-0faced4d2152' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4282c090-d0d5-4677-af09-9182b4d09a1d' class='xr-var-data-in' type='checkbox'><label for='data-4282c090-d0d5-4677-af09-9182b4d09a1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Upper bound of wind speed bins [m/s]</dd></dl></div><div class='xr-var-data'><pre>array([10.3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.001111 0.001111 ... 0.001111</div><input id='attrs-bb29787f-5583-4819-8c00-e487142293ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb29787f-5583-4819-8c00-e487142293ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-746b65e2-b96c-49f3-ac69-4505e754228b' class='xr-var-data-in' type='checkbox'><label for='data-746b65e2-b96c-49f3-ac69-4505e754228b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00111111, 0.00111111, 0.00111111, 0.00111111, 0.00111111,\n",
" 0.00111111, 0.00111111, 0.00111111, 0.00111111, 0.00111111,\n",
" 0.00111111, 0.00111111, 0.00106667, 0.00106667, 0.00106667,\n",
" 0.00106667, 0.00106667, 0.00106667, 0.00106667, 0.00106667,\n",
@@ -704,7 +705,7 @@
" 0.00097778, 0.00097778, 0.00097778, 0.00097778, 0.00097778,\n",
" 0.00097778, 0.00097778, 0.00097778, 0.00097778, 0.00111111,\n",
" 0.00111111, 0.00111111, 0.00111111, 0.00111111, 0.00111111,\n",
- " 0.00111111, 0.00111111, 0.00111111, 0.00111111, 0.00111111])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Yaw</span></div><div class='xr-var-dims'>(wt, wd, ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a0519d95-c3f3-4cb9-acf2-920cebcd0138' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0519d95-c3f3-4cb9-acf2-920cebcd0138' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7722d642-4272-4b2e-961b-62fa8d8754f4' class='xr-var-data-in' type='checkbox'><label for='data-7722d642-4272-4b2e-961b-62fa8d8754f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Yaw misalignment [deg]</dd></dl></div><div class='xr-var-data'><pre>array([[[0.],\n",
+ " 0.00111111, 0.00111111, 0.00111111, 0.00111111, 0.00111111])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yaw</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-50b87be1-65e3-44bd-b59a-b8b6bb1050c6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-50b87be1-65e3-44bd-b59a-b8b6bb1050c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24e2f43d-6430-4002-acb6-7c8a881983e2' class='xr-var-data-in' type='checkbox'><label for='data-24e2f43d-6430-4002-acb6-7c8a881983e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Yaw</span></div><div class='xr-var-dims'>(wt, wd, ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-fe096893-19b6-4230-bc8f-e536fb02bb6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe096893-19b6-4230-bc8f-e536fb02bb6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5eedd40a-ca91-4b82-8fb4-7f8d15658e17' class='xr-var-data-in' type='checkbox'><label for='data-5eedd40a-ca91-4b82-8fb4-7f8d15658e17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Yaw misalignment [deg]</dd></dl></div><div class='xr-var-data'><pre>array([[[0.],\n",
" [0.],\n",
" [0.],\n",
" ...,\n",
@@ -744,7 +745,7 @@
" ...,\n",
" [0.],\n",
" [0.],\n",
- " [0.]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-83364c4f-8ede-4439-ba0d-623cf6d45d1d' class='xr-section-summary-in' type='checkbox' checked><label for='section-83364c4f-8ede-4439-ba0d-623cf6d45d1d' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>wd_bin_size :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
+ " [0.]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-250b51db-6350-409a-bafa-26800e113dc4' class='xr-section-summary-in' type='checkbox' checked><label for='section-250b51db-6350-409a-bafa-26800e113dc4' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>wd_bin_size :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.SimulationResult>\n",
@@ -768,6 +769,7 @@
" ws_lower (ws) float64 9.3\n",
" ws_upper (ws) float64 10.3\n",
" P (wd) float64 0.001111 0.001111 0.001111 ... 0.001111 0.001111\n",
+ " yaw object None\n",
" Yaw (wt, wd, ws) float64 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
"Attributes:\n",
" wd_bin_size: 1"
@@ -1159,7 +1161,7 @@
" h float64 110.0\n",
" type int32 0\n",
"Attributes:\n",
- " Description: Power [W]</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Power'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>ws</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-31de213e-7a6b-406f-8afc-b85ab9ff3a12' class='xr-array-in' type='checkbox' checked><label for='section-31de213e-7a6b-406f-8afc-b85ab9ff3a12' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.624e+06</span></div><div class='xr-array-data'><pre>array([2624293.287983])</pre></div></div></li><li class='xr-section-item'><input id='section-c11dc9a5-679c-493f-8e07-5339ed9d1914' class='xr-section-summary-in' type='checkbox' checked><label for='section-c11dc9a5-679c-493f-8e07-5339ed9d1914' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>wt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>3</div><input id='attrs-199a58d9-524d-4f29-b72d-6b07f8d3dc87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-199a58d9-524d-4f29-b72d-6b07f8d3dc87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b95d53ab-11a2-4dd3-8c2f-30f3e41fb95d' class='xr-var-data-in' type='checkbox'><label for='data-b95d53ab-11a2-4dd3-8c2f-30f3e41fb95d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine number</dd></dl></div><div class='xr-var-data'><pre>array(3)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wd</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-48cc3397-c8c7-4f9c-b7a8-8756e96df96a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48cc3397-c8c7-4f9c-b7a8-8756e96df96a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92dfaad0-dad9-4527-bda5-290b424770eb' class='xr-var-data-in' type='checkbox'><label for='data-92dfaad0-dad9-4527-bda5-290b424770eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Local free-stream wind direction [deg]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.8</div><input id='attrs-8b65507b-f20e-4856-a3d7-16eda1cd5afd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b65507b-f20e-4856-a3d7-16eda1cd5afd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ce66939-3919-4d7e-93e8-8542a35b33b1' class='xr-var-data-in' type='checkbox'><label for='data-4ce66939-3919-4d7e-93e8-8542a35b33b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([9.8])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-525.9</div><input id='attrs-2af56c15-c93a-42e8-a8bf-ce0f19c623b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2af56c15-c93a-42e8-a8bf-ce0f19c623b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca25b4e7-e12c-472a-8bfc-f7ee7a3b6dd0' class='xr-var-data-in' type='checkbox'><label for='data-ca25b4e7-e12c-472a-8bfc-f7ee7a3b6dd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine x coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array(-525.861)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>382.1</div><input id='attrs-586e0e46-9f8f-4a10-83cf-8cde01a35d35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-586e0e46-9f8f-4a10-83cf-8cde01a35d35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f53ab783-56de-4475-8477-1f4e2fe1f615' class='xr-var-data-in' type='checkbox'><label for='data-f53ab783-56de-4475-8477-1f4e2fe1f615' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine y coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array(382.0604)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>h</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>110.0</div><input id='attrs-9727b065-2856-4bb9-be06-2f4c21c23c19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9727b065-2856-4bb9-be06-2f4c21c23c19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb0101f1-807f-4e4b-a46b-d44af4811d8f' class='xr-var-data-in' type='checkbox'><label for='data-cb0101f1-807f-4e4b-a46b-d44af4811d8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine hub height [m]</dd></dl></div><div class='xr-var-data'><pre>array(110.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>type</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-0159bc81-e4d1-4ed8-b26b-935ae6a7b8d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0159bc81-e4d1-4ed8-b26b-935ae6a7b8d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e7eb5d7-f73c-4773-9520-b957ccca955e' class='xr-var-data-in' type='checkbox'><label for='data-4e7eb5d7-f73c-4773-9520-b957ccca955e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine type</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9f290614-05ae-4e70-be5d-18aaa678232d' class='xr-section-summary-in' type='checkbox' checked><label for='section-9f290614-05ae-4e70-be5d-18aaa678232d' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Power [W]</dd></dl></div></li></ul></div></div>"
+ " Description: Power [W]</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Power'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>ws</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a22c33ab-cb4e-41ae-a4b9-3d2bcaca3922' class='xr-array-in' type='checkbox' checked><label for='section-a22c33ab-cb4e-41ae-a4b9-3d2bcaca3922' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.624e+06</span></div><div class='xr-array-data'><pre>array([2624293.287983])</pre></div></div></li><li class='xr-section-item'><input id='section-f49009f4-9441-42bd-93f6-f2e703cb36d9' class='xr-section-summary-in' type='checkbox' checked><label for='section-f49009f4-9441-42bd-93f6-f2e703cb36d9' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>wt</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>3</div><input id='attrs-db9d2606-7eaf-4110-8ce0-dc5f9e009d47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db9d2606-7eaf-4110-8ce0-dc5f9e009d47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44b1ca6a-aa3d-4411-81c6-8077b675d73f' class='xr-var-data-in' type='checkbox'><label for='data-44b1ca6a-aa3d-4411-81c6-8077b675d73f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine number</dd></dl></div><div class='xr-var-data'><pre>array(3)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wd</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-069c8605-95eb-46d8-8f43-ccb65f2b786a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-069c8605-95eb-46d8-8f43-ccb65f2b786a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3149fc2a-f9c5-491c-a794-534afa5f2358' class='xr-var-data-in' type='checkbox'><label for='data-3149fc2a-f9c5-491c-a794-534afa5f2358' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Local free-stream wind direction [deg]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.8</div><input id='attrs-39ffb1fc-1dcd-43cf-a4ae-462a25491e53' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39ffb1fc-1dcd-43cf-a4ae-462a25491e53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25f37cd0-45c9-4ba6-94e7-8f92fcfc89a9' class='xr-var-data-in' type='checkbox'><label for='data-25f37cd0-45c9-4ba6-94e7-8f92fcfc89a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([9.8])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-525.9</div><input id='attrs-62f2a718-04c5-49d1-846a-523fb4bad1e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62f2a718-04c5-49d1-846a-523fb4bad1e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9e64ed6-8db9-45b4-9bec-f541ff02cb6e' class='xr-var-data-in' type='checkbox'><label for='data-d9e64ed6-8db9-45b4-9bec-f541ff02cb6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine x coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array(-525.861)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>382.1</div><input id='attrs-9f76a32a-fab5-4a0d-83b4-dd5335aa7faa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f76a32a-fab5-4a0d-83b4-dd5335aa7faa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94aa84be-f9c0-4b94-8764-9f3313f175f4' class='xr-var-data-in' type='checkbox'><label for='data-94aa84be-f9c0-4b94-8764-9f3313f175f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine y coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array(382.0604)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>h</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>110.0</div><input id='attrs-0d66e59e-cb09-4b1f-9937-0fa24e21f3a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d66e59e-cb09-4b1f-9937-0fa24e21f3a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0ecf523-374e-4737-b6c2-283a9585d865' class='xr-var-data-in' type='checkbox'><label for='data-e0ecf523-374e-4737-b6c2-283a9585d865' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine hub height [m]</dd></dl></div><div class='xr-var-data'><pre>array(110.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>type</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-2f287c00-c68d-48d6-af69-d37dc153cc06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f287c00-c68d-48d6-af69-d37dc153cc06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2125c53-7e44-4041-85ff-6560c81e462e' class='xr-var-data-in' type='checkbox'><label for='data-e2125c53-7e44-4041-85ff-6560c81e462e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine type</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b73e5651-52e4-484e-aba2-77317e092834' class='xr-section-summary-in' type='checkbox' checked><label for='section-b73e5651-52e4-484e-aba2-77317e092834' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Power [W]</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'Power' (ws: 1)>\n",
@@ -1633,7 +1635,7 @@
" h (wt) float64 110.0 110.0 110.0 110.0 ... 110.0 110.0 110.0 110.0\n",
" type (wt) int32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"Attributes:\n",
- " Description: Annual energy production [GWh]</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'AEP [GWh]'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>wt</span>: 16</li><li><span class='xr-has-index'>wd</span>: 360</li><li><span class='xr-has-index'>ws</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-42e7bef8-2e30-4b65-9e2a-38f74e78e1ca' class='xr-array-in' type='checkbox' checked><label for='section-42e7bef8-2e30-4b65-9e2a-38f74e78e1ca' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.03221 0.03196 0.03158 0.03102 ... 0.02387 0.0215 0.01951 0.0182</span></div><div class='xr-array-data'><pre>array([[[0.03221141],\n",
+ " Description: Annual energy production [GWh]</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'AEP [GWh]'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>wt</span>: 16</li><li><span class='xr-has-index'>wd</span>: 360</li><li><span class='xr-has-index'>ws</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-80909be0-0ea4-44de-88e2-2554f58e99e8' class='xr-array-in' type='checkbox' checked><label for='section-80909be0-0ea4-44de-88e2-2554f58e99e8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.03221 0.03196 0.03158 0.03102 ... 0.02387 0.0215 0.01951 0.0182</span></div><div class='xr-array-data'><pre>array([[[0.03221141],\n",
" [0.03195991],\n",
" [0.03157906],\n",
" ...,\n",
@@ -1673,14 +1675,14 @@
" ...,\n",
" [0.02150479],\n",
" [0.01951311],\n",
- " [0.01819518]]])</pre></div></div></li><li class='xr-section-item'><input id='section-a467f730-af0d-421e-a8af-8b4e2f33c23e' class='xr-section-summary-in' type='checkbox' checked><label for='section-a467f730-af0d-421e-a8af-8b4e2f33c23e' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wt</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 10 11 12 13 14 15</div><input id='attrs-682d1b41-e2ec-4c86-91e0-a23750569fbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-682d1b41-e2ec-4c86-91e0-a23750569fbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc746d7a-0ee1-4c10-97b7-5894845b8215' class='xr-var-data-in' type='checkbox'><label for='data-dc746d7a-0ee1-4c10-97b7-5894845b8215' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine number</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wd</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 355 356 357 358 359</div><input id='attrs-4319d906-f0d4-4819-bc7a-6c2afffc6472' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4319d906-f0d4-4819-bc7a-6c2afffc6472' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22fd56da-916f-40ae-8e8f-c0153c5cd268' class='xr-var-data-in' type='checkbox'><label for='data-22fd56da-916f-40ae-8e8f-c0153c5cd268' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Local free-stream wind direction [deg]</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 357, 358, 359])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.8</div><input id='attrs-251b895f-0d1a-4cba-8c25-2b69287e0b4e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-251b895f-0d1a-4cba-8c25-2b69287e0b4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b56f8e2f-f081-4cc3-97ab-524f5a9beae1' class='xr-var-data-in' type='checkbox'><label for='data-b56f8e2f-f081-4cc3-97ab-524f5a9beae1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([9.8])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 650.0 200.9 ... 401.7 1.052e+03</div><input id='attrs-2e2d2f21-3a05-4f51-a659-4dd7aae91f61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e2d2f21-3a05-4f51-a659-4dd7aae91f61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-389ba9f7-b80e-45c1-871f-f954b56eb87d' class='xr-var-data-in' type='checkbox'><label for='data-389ba9f7-b80e-45c1-871f-f954b56eb87d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine x coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 650. , 200.861 , -525.861 , -525.861 ,\n",
+ " [0.01819518]]])</pre></div></div></li><li class='xr-section-item'><input id='section-77260ced-91c8-431b-bd58-feda9c262440' class='xr-section-summary-in' type='checkbox' checked><label for='section-77260ced-91c8-431b-bd58-feda9c262440' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wt</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 10 11 12 13 14 15</div><input id='attrs-7a7a9883-20cf-41c3-b513-e39946a531f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a7a9883-20cf-41c3-b513-e39946a531f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c40836fc-092f-4b66-83c8-140c3648ed44' class='xr-var-data-in' type='checkbox'><label for='data-c40836fc-092f-4b66-83c8-140c3648ed44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine number</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wd</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 355 356 357 358 359</div><input id='attrs-475e8695-254b-4c76-a2b7-7e61b1d9ffce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-475e8695-254b-4c76-a2b7-7e61b1d9ffce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-847cfee6-5d8b-4086-a5f6-fbf9f22f1eba' class='xr-var-data-in' type='checkbox'><label for='data-847cfee6-5d8b-4086-a5f6-fbf9f22f1eba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Local free-stream wind direction [deg]</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 357, 358, 359])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.8</div><input id='attrs-26bc1a32-35d2-463b-89f6-6217758351e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-26bc1a32-35d2-463b-89f6-6217758351e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74b7ccbc-9e4c-4653-89dd-301b799930db' class='xr-var-data-in' type='checkbox'><label for='data-74b7ccbc-9e4c-4653-89dd-301b799930db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([9.8])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 650.0 200.9 ... 401.7 1.052e+03</div><input id='attrs-72b11601-e0d1-4846-9b7c-0b02edcd34b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72b11601-e0d1-4846-9b7c-0b02edcd34b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1711082-bbe8-406d-b498-87491050eda3' class='xr-var-data-in' type='checkbox'><label for='data-f1711082-bbe8-406d-b498-87491050eda3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine x coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 650. , 200.861 , -525.861 , -525.861 ,\n",
" 200.861 , 1300. , 1051.7221, 401.7221, -401.7221,\n",
" -1051.7221, -1300. , -1051.7221, -401.7221, 401.7221,\n",
- " 1051.7221])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 618.2 ... -1.236e+03 -764.1</div><input id='attrs-f05cdf7d-a7ce-434e-83de-1412089bad64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f05cdf7d-a7ce-434e-83de-1412089bad64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-555496ea-553f-433c-a917-51028d8c1c6b' class='xr-var-data-in' type='checkbox'><label for='data-555496ea-553f-433c-a917-51028d8c1c6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine y coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 0. , 618.1867, 382.0604, -382.0604,\n",
+ " 1051.7221])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 618.2 ... -1.236e+03 -764.1</div><input id='attrs-98285116-f819-4077-ba9c-40c691571053' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98285116-f819-4077-ba9c-40c691571053' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20e8485d-e04c-437f-9c9d-11947dedb917' class='xr-var-data-in' type='checkbox'><label for='data-20e8485d-e04c-437f-9c9d-11947dedb917' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine y coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 0. , 618.1867, 382.0604, -382.0604,\n",
" -618.1867, 0. , 764.1208, 1236.3735, 1236.3735,\n",
" 764.1208, 0. , -764.1208, -1236.3735, -1236.3735,\n",
- " -764.1208])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>h</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>110.0 110.0 110.0 ... 110.0 110.0</div><input id='attrs-565f80c9-fd06-43f1-ba0b-cccb2d0832f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-565f80c9-fd06-43f1-ba0b-cccb2d0832f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de261a21-381e-4cc0-8223-2ebb397cb609' class='xr-var-data-in' type='checkbox'><label for='data-de261a21-381e-4cc0-8223-2ebb397cb609' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine hub height [m]</dd></dl></div><div class='xr-var-data'><pre>array([110., 110., 110., 110., 110., 110., 110., 110., 110., 110., 110.,\n",
- " 110., 110., 110., 110., 110.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>type</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0</div><input id='attrs-9ad64f25-3d2b-47ba-9386-41c32bb4a5d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ad64f25-3d2b-47ba-9386-41c32bb4a5d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cb6b90b-82a7-4fbd-ac66-b06193154a70' class='xr-var-data-in' type='checkbox'><label for='data-2cb6b90b-82a7-4fbd-ac66-b06193154a70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine type</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3746b4a9-65ff-422c-930b-69a72a9ddd46' class='xr-section-summary-in' type='checkbox' checked><label for='section-3746b4a9-65ff-422c-930b-69a72a9ddd46' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Annual energy production [GWh]</dd></dl></div></li></ul></div></div>"
+ " -764.1208])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>h</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>110.0 110.0 110.0 ... 110.0 110.0</div><input id='attrs-51e5e54c-e12d-4ec7-8ec9-45ccac466ffb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51e5e54c-e12d-4ec7-8ec9-45ccac466ffb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6ce7802-8a79-427f-ad17-3d69792b5db3' class='xr-var-data-in' type='checkbox'><label for='data-a6ce7802-8a79-427f-ad17-3d69792b5db3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine hub height [m]</dd></dl></div><div class='xr-var-data'><pre>array([110., 110., 110., 110., 110., 110., 110., 110., 110., 110., 110.,\n",
+ " 110., 110., 110., 110., 110.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>type</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0</div><input id='attrs-ea75899c-a4d6-4453-851f-3900e9dc30ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea75899c-a4d6-4453-851f-3900e9dc30ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97f6e8b7-389b-42f3-80af-6f1792f20250' class='xr-var-data-in' type='checkbox'><label for='data-97f6e8b7-389b-42f3-80af-6f1792f20250' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine type</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-31be2832-d7da-4ee7-8344-ac62cc0f1903' class='xr-section-summary-in' type='checkbox' checked><label for='section-31be2832-d7da-4ee7-8344-ac62cc0f1903' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Annual energy production [GWh]</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'AEP [GWh]' (wt: 16, wd: 360, ws: 1)>\n",
@@ -2113,7 +2115,7 @@
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'AEP [GWh]' ()>\n",
- "array(373.20664521)</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'AEP [GWh]'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6c82e631-62fb-45f6-aac0-7d9a34b0658e' class='xr-array-in' type='checkbox' checked><label for='section-6c82e631-62fb-45f6-aac0-7d9a34b0658e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>373.2</span></div><div class='xr-array-data'><pre>array(373.20664521)</pre></div></div></li><li class='xr-section-item'><input id='section-aa35e4d3-2c51-4a70-aeae-8805bec20c4b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aa35e4d3-2c51-4a70-aeae-8805bec20c4b' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-40380000-1403-4439-8be4-f9cf009bac47' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-40380000-1403-4439-8be4-f9cf009bac47' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+ "array(373.20664521)</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'AEP [GWh]'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-94040e3a-6fbb-4fa8-b631-43e5601724c5' class='xr-array-in' type='checkbox' checked><label for='section-94040e3a-6fbb-4fa8-b631-43e5601724c5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>373.2</span></div><div class='xr-array-data'><pre>array(373.20664521)</pre></div></div></li><li class='xr-section-item'><input id='section-4ec41e00-8362-4eae-8cf6-7a5be1c6f584' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4ec41e00-8362-4eae-8cf6-7a5be1c6f584' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-36280230-2258-4edc-b37f-2744c5a3c098' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-36280230-2258-4edc-b37f-2744c5a3c098' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'AEP [GWh]' ()>\n",
@@ -2198,7 +2200,7 @@
"outputs": [
{
"data": {
- "image/png": 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7yUQcNaiL5uef3XC0HIkQzp4+2CSE6XdNY0MWIM8sYTKyNfws0TjcxpzXfQ2d8uvyAr/gk8PtCysgoYcOlwd//2oL2pzpm7dBpA6tvkM5yHhm/o4ktoYIx63vrUl1E1KCdI1KKRnZ7p31ev03aKgBt9XC8NBZY4KW/+bYQXjlyiny62hQPqt8Pi6GGWv4dtLZctVg++E2+fU3Nx2rezu53BHNUusiWZfNqWN6oqwgR7Xs25uPxY+3z8Lo3qWwB0yUaf16j8zdBCD908TSu/VExiF5/sb0LsU6MReTiB9HnLkQL/ywA9tq2mSPSkGOVZWXYQRfrKvGP+dvh9Pjxd1zRhq6byLziWQYjO9bhtX7mgBkfjir2bGGsFwyfawshdVK+ZlOjw+F6e0QiQu9z/jyAjvG9inF1TMGqpYfM7QSux+dAwDYUdum+kzPtcTh7zeEMGNdzfFvLB/LvBeuMpS7plXwwlkYMLibOqQ7w+z2pKJ53bAwn8VyDB3rlOTZgkL1hW1Dby2VsjtpVPdYm2YKEmbMMsbyAPwAIFc8znuc8/sYYwMAvAWgC4AVAC7jnLsYY7kAXgEwCUA9gAs457sT1T7CnEgy+12KhNmmdMxLMSMOT+xhxvsaOvCXuZtVyzpcXtUsL6DutGP53SQ12oZ2d/SNJLIat9cne/RDDSw557BaGJWZMAHZml8vhdUWil7AlXsaccLI9B5ExsPOAAM0FIwxfHL90eHXiebAipVbxTrpRbk6w4zT7NJtdfifp00dwuuPrpuequZkJOHVjJNzwSy8bVbEcl+cAwu31eLejzfgmYsFYSiH24eRPUuQa0tvdetEhhk7ARzHOR8HYDyA2YyxqQD+CuBJzvlgAI0ArhLXvwpAo7j8SXE9Ist4aaFQ/LyiMCfCmkQ0uL2xD+Dv+GBtxHUm9CuLef8SkleeJjCIaLnwhSUR12nocKG8gPqVWHB5fPh49QHDPFBTBvjzvLKprrg0kVIgGk6/fmV5KpuTckoVqSrJGvQHIuUMBtbuBFLXJiPxKO6vRtGYjbYflPZgYge0qdCa8Iin79Szad+KApSHGDcr2/P1hhrsqmvHqU8vxMQH5+FwqwNFaR5iDITxzDLGztaxvYNzPlfrAy78ctK0m1384wCOA3CxuPx/AO4H8ByAM8XXAPAegH8yxhg3c/wGYTglokLbxH7l+GDlAeo8TcCi7aHVpT/83VEY2r0YNivDw59vius4da2CMRuP4U1kJyv2NMqvQ/UZje1u9C7LR12bk/qVKHlx4U489tUWMMZwxrhece9PUqSd1L9cjsgAMn8iy+NVe2YBoKnDFZT3lsk0trsw4cF5ePWqKSqFcaOQ7209Ycacy2JQ5YX2qPoF5apm7k+UbWsWv6uW+m0o1V2fj+OnHVRhIhzh1IyNmg8xShW5xaGOfFu7vxlTBlQYsu9UEs4z+yKA0wCcHubv/8LtnDFmZYytBnAYwDwAOwA0cc4lhZf9AHqLr3sD2AcA4ufNEEKRiSRS2+rEL55dhJd/3JX0YzvcXryxdC8AwG5N/xlRM6Lnmfv411vwx7dXA1ALRpwYEA43tHsRJvQrR2GuDbk2q6rPjuXhLnlm20kAioiDUJdeh8sje8QIbZwer2atweZOYQC0ryF8nvzKvY3453fbIh5H8hZZGYPTIHG6dEDyzJbm+z2SeyOc00xDUiC+7OVlhhqz0Qz2latKk6c5Vr1qxuk1NlFOEEmeWb3KzQDw0o87sfFQdqqP60WtZqzGTFcLB0dThxtjepfi9V8fKS+fPapHmK3Sg3C+5S8451eG25gx9lq4zznnXgDjGWNlAD4EMDzqFgYf8xoA1wBAv3794t0doWDNviac+cwiAMCqvU248Ii+IetXRYPD7cUDn27Er2cMQFWXwpD5UmTEmIP/+247AOBv547FStHj9c6107C5ugXzNtbI6wUKSMSLNIjOJDVjp8eLTYdaMb5vWaqbkpUoVTh9HLCJfQ8F/Ghzxv8twpaaVllUR0KaXAyXb9zU4cLZzy4GAFw3azAYY/D5OCwa/b20H6uFyXUOswEpZ/boIV2x9kAzfthaizP+uQh/PWcMLjgiO8YzY/qU4u3l+9C1KBcdir4+VbmobjEyIMdmCboW9bbJ1L2JonFNnW5YGJBr059hqKxHa+rvaSqCL5x4HjnxRqwoW+P1cditDNMHd8Wyu49Hh9OLqq6Fce3fDIS8ojnnl0baWM864npNAOYDmAagjDEmWUh9ABwQXx8A0BcAxM9LIQhBBe7rBc75ZM755MrKSj2HJ3Ty96+3qN4v291gyH4/W3sIby7bi+MfXxB0DCUejYESdZ6p44J//YTb3hfyZau6FGB4D3Wh+XCdcyy/myRS1eFSG7O769rTdsD796+24KxnFmGNqKJLJB6t61LqWizppt6SZLbUtAIINval8FhbmIiZ77f464MLAnGtGHjXXFXdcP/+BAPCYglQoc7wDt/r8yvn/udXR8jLb39/Xdz7rm1Njxqiklewrs2ZkLqn0sBfrwEglUuyW1lUBnW6zIcpm9nU4UJhjk3Tix3qq7c5MmdyOVFohhmLC5OpZhwJzgGfKIQIAN2K8zLCkAV0CEAxxs7W+DueMdYtwnaVokcWjLF8ACcC2ATBqD1XXO1yAB+Lrz8R30P8/DvKl00utoAZ9NV7m2Le1/bDrbjp7dVo7nSrBkZfb6gOuY0y3CzdQnnMjNKbEumWUuZTrFT8/l2LcjGqVwmG9yjGLScNBYCgPIt4czocbsFgbXf6DVenx4uZf/8eV/zn57j2nSp+2FoHAFi6i3KOkoXWIFbpCSSC4Zzj203+qIuWgAGsFIoZbjLArch9/WJ9tXztf6nR50sTl5wjbSeqYkGaFLBamPwHqGt2R+KtZXtxznOLVZFMz8zfjiMe/ga/+s8yYxucAJSPoI9WHzRsv9Hc2cp1pZztwJqcIbdNsy5Eeb6bOtxRp1pkUqRUojCDmnE4lNesj3PD8m/NhJ4Y0qsgeFTni+9nQiipM4Ax9mfO+ashtusJ4H+MMSsEo/kdzvlnjLGNAN5ijD0EYBWAl8X1XwbwKmNsO4AGABfG8oWI2FEOVHqV5uEf327DtsOtePaSSVHv69Wf9uCDVQewel8Tqlsc8vJwHaPkmbtoij/ciuYz4mft/ibd62rlxN116nBYLAyFuTZ8+YdjwDnHsUO7YXTvEo09xI5DnMxQXiN7xVq2i9NUgELKA/58XTWuOWaQ6jO31wcLY2RgGcCxQyuxQMMDKBm2Pq42ZqlX8bO1phW3vrdWFT1Q2+pU5XV6RI+iK0wt31aFAXzLu2tw3+lCrWitPlw5webIwpxZ6Tp86fLJuOI/P8Nq0WdIvbZkD+75aD0A4OPVB7HxUDP2NnTK3m+ld9ysmO3ekyZhtEJvw/XMykkzM49T1DmzLlQWRVfY2MeV39OwZmU0mmrGcezPyPPu40Kd4UxDTw9qAzCCc34O5/wcACMh/C5HArg91Eac87Wc8wmc87Gc89Gc8z+Ly3dyzqdwzgdzzs/jnDvF5Q7x/WDx853xfz0iGkb0FIyT7Q+fguHi67nrqrF4e13U+9pULYSr7axrV4k8hFOqlTyzxw3vZq6s+TTnIYXKcKQ+cUdtu+r9CSO6BxlhjDGM6VMadnYvloe7FG6o9DgsV6jUphsOtxeHxdC/NfuaghQhh9z9Ba7J8tIcRhFJWVQakFGYcTD//nFXUBh8YPinlM8ezosqRXXYrQzDexTL4YlODQNY7ZlVqhlnNtL3lqKgZg3rhptOHIq6Nie2iiHegXh9HAPv/BxT//KtbMgCwF0frsNrS/YGhXFrTeqYCenZ0Ks0L0H7V/+PtK4/zNgCPQOPdOtBlOeh1eFBcYgyLNQ1xk44NWPDwowN2A/nwv2Xic9BPcZsX855jeL9YXFZAwB3iG2INOSf8wXhH5vVghE9i+XlsRgUTrf2oCfczL40UMqJQpyAMJYNB5qRY7Vg1Z9OxJwxPfHAmaOSdmzpmulwebHhYDNmP/UD7vzAn0sWTnzGjOyoFZSg54ztCQCYu+6Q/Jl0H3y7+XDyG2YAypIWZkBZq1TrKqEwYzWN7S4s2FoLl8cnRw8oCTRm28U8dqfbF7IubKvDg8IcK86Z2Ad1bS60ids0dwQPE6Tfg4OnPMz4ue93YFOS1FoDIwQA4GRRSfT299eq0jyW7KxH1R2fY9Bdc+HjkCOcJvQrwz8uHB/yGH8V1YLNimRc9S4PrusaD9GMz5UTsZJn1p6h447AuzXaSAgzhMmaHfXEifqMm8Nu9DdC8MyaolGGoufu/Z4x9hlj7HLG2OUQclu/Z4wVAmhKaOuIlHHsUH9K9BPztmJLtfascShCeWCVRnIgnaIxo5SNp7CW+ImmQPq+xg70qchHeWEOnrlkInqXGTvgCIdDMQFy09trsDngmtt4ML3KA8x5+kcAwOlje+GYoZV4dckeVDcLA1I95UvMzEerD2D8n+eZ5jeRwmABqDoN6aX0sRxmnOX9yoQH5+Hyfy/DP77dqgoPlqgLEBOS1lm+pxED75qLxTuCo3VaOt0oybeje0ke6tqcshGrJfIj/V6Bnlm9fLm+2hAjuK7Nib9+uRm//l9yIiRkIS1FWPGwHsXoV1GAVXubMPb+r9Hm9KDd6cGFLywJ2j7fbsWbV0/FmeN7Y+tDp+D/LpogfzauTykA441Eo5HCXnsFPFtSlcfn9qq95UrCRx8pXhveKuMIEnPzxR7Wn+l1oI1C66qJS83YoNPOwcWcWWP2Zyb0GLPXAfgPgPHi3/8AXMc5b+ecz0pc04hUMmVABd6+ZqoQ8gvgs7XRCTV4fD4cO9SvNn3upD4AgBlDQitQS+HI+XYrzQUayBFV5fLrSJ1iS6cHZfn6xUhCEZuasU82NrQeuE99szXOVqWGisIczBomXPcrxCiHl1JQx9kImjvd2F3XjmW7hO+xYq85wsBVtqzW55JHLBOf4nFwsMmBrTWtKMq14bKp/eXldW1qb61kzK4Ww5G/XB8s6tTicKM4z4YyUcxIyt8M3BegjrJQCv/pGbQt2l6H37y2Ao9/HX9/IE0uHWjqDPosEXmQ0vcOTJF94vxx8uvR932FUfd9BQD43Ux/iseKe07AhgdORp5dmOzNsVlw+rhemDGkKwDgxV9OBgAMNLk6qXRae5QkOMxYz7rg8gSD3WrRNchPty4k8DIO5ZUL6YFNs++bCrTVjMX/Bp3AePajFoDKUs+sqCi8HMDnnPM/ApgLwNgCk4QpOXJgF/xbLB/wf99tlwfienB7OUoURtFj544FoBYTCETKy4qmoDcRmWg8Hy0Ot+p3i4Z4+0eH24suhYIXeU99sBDVt5sPY099e9Bys1OQY8Xxw7sDEKIP3F6fKtxeqQJrds5+dhFm/v17WX11v4ZgWCqI5G2Q6nvq1NnJaJRGmsfHUdfmwh9PHIoHzxqN3Y/OQdei3CBvaqtDHSqsVBz3r+NBSZ4d0wZ1UW1T1+YMWeqHI3o1Y6kEjWSIxoMqX5dz7K5rxys/7cZ1b6zEgDvn4tWfdsd9DCX+nFn1hTi5qgIbHjhZtaw4z4Y/nDAUX/x+Bv5x4Xh0KcrVrNn74i8nY/4tM9GtJA/lBXY5wsmsSFdCRaH+iCE9RDPYV67p9vrAWPakIGSgHZNywqoZm+x8CzmzqW6F8egpzXM1gPcA/Etc1BvARwlsE5ECQuVBAcDj5wmzxkt26leUdXt9sFsZ7j1tJP535RQ5XCdc2mOHbMxq10EjYiNcnnIg1c0OdI1S7VCLaJ0anHM43F55gOPxcVx77ED588unCV4js4S1RsOAroVyOYROlwd1bU54fBwDRA/KvxbsSGXzdFPd7JAFwgpzBRGRf/1gDp0+L/cPGrTC/3xyzqxFXJ694XJKQb7aVsEgHNbdn/5RWaxlzKpDkbUGQ9JEWJ5NuNbbZdEoH9YfUN+3smc2hjBjZSmV/Y0d2F0X+wSX0pBuaHdh5t+/x70fb8Dna4X89oc+34TvNtfgwc82GlIT1auRMytRmGvDI2ePkd9/f8tM5NgsGNGzBGeO7x1yn3l2q9yXNHa48cpPe+JuZyKR7s+hPdQpR6l44nMOuH2+kGV5wqsZq/djVgLbVtUlOs+98hyY+XuaCW0149hPnlHPK6nObFZ6ZiGEGU8H0AIAnPNtAMLWmCXSD3cYz8Y5k/qgd1l+VHmzbq8PdosFVx49QA43tlpYWKO5QxQMybeTZ9ZIXCrPX+jz7/b6cLjViX4VBYlvVAA+Lvwp83srCnLwzMUTcdGUfvj9CUJtW2WZJ7MzrHsxTh7VHYW5NhTmCMZfu8uLwy3CoFg6z++u2J+U9hxo6sTbP+8New+G4sNV+zHjb9/J7+s1QkdTic/H5Zw3zTqzcphxUptlSpRq4ZJh20eRZ9m1KAe14u/75fpq7KxtCzJmtYwxSSk1T6P/vveT9ar3HpUAlFLNOPK1KUUy5NgYjv7rfMz8+/cRtwmFcqLvwc82Bn3u9Phw5X+X4+Ufd8kGbjx4xbZr5WcCQlm6TX+ejUV3HIcucUwq/vHt1TFvm2ik6KxRPUvw/S0zUZSrp0KkfqQrKFyYuHIs7/Fy2MXfQ0/3kM6CSCeM6IaHfzFG87MMtG+ShraascEnNI7dKTf1+VKXn55I9BizTs65PHJhjNlg7nx3IgaksK/bZw/X/HxEz+KoFB89Xg67TX3DWJi+MON8EoAylFDK0oGEq7enh3g6b+m6UJYNKMi1Yc7Ynnjk7DEoy7fDamGGeEeShZdzedCfZxfysTqcHrlcz43HDwEAjOplbL3eUJz97CLc/v46LNkVfc3eP769RiXqJingThlQYVj74sHjCz/b7M9VzLyHeLQo6zgfEkN1uyvyFyuLclHX6kRjuwu/eW0Fjn9iQVDoqtZgqKXTjZI8u2oycmCl4AVatbdJta46Zza6sFi3qpRKfCiN2Y/X+HUhygvs+M2xQr6qVG83UJAuFjw6rsP8HGvMwnsnjhTSGT5cdQBVd3xuyhQG+ZdnQFXXQtgMmmGKdXzu8fpgM+BaMivSBNHj543DS5cfgcri+COvCDXhw4zN9czxZWuYMYAFjLG7AOQzxk4E8C6ATxPbLCLZSMZsqLI4E/qVY9vhNlz60lJV+YBQuL2+oLwgxljYMONOtxc2C0OOzZLGc5/mw6VzQCOrOhrxYI9yEkIyZpWz9AWKQbHFwlDVpQAr9zTF37Yk4fNxOayVMYYCuxU/7azH1WJt2b4V+ZjQr0xTTdZoOOeoET3CF7+4NG5xm0PNwYI5qcTt9SFHvG7VAwuuWiYLQGXxJJky37W21YmSPJtqArGrGGY84cF5ALQnFD0BfUpjuwuNHW60Oz2qfVkZg4UhyDiTjKygOrM6fhe3QrAnViQjVtk3Ssc+bWxPfPXHY3DbycPw0FmjMff3MzBlQAW2VMef4uANqDNrNC9cNglnT/CHJP8YQ434hCOe6MDJz1SM+TkAt4/DHsKgDtcmZR9q5rQFqZmxnl+T2WJpgdbEfirVjJUGNc9WASgAdwCoBbAOwLUQBKDuSWSjiOQjhRmH6tSnDhQ8MD9ur8NvX1sRNBjmnOO1JXvkWX+nxxfk4bMyFtYz2+HyqgZCgLkfEumC3sGixxv+GkgkUrsGdfNryxXmqq+FWcO6YcWexoSojCYCj4+rwlrzc6z4ebdfRK1bcR6K8+xo6Ux8ue6dAXmFC7fFN8jdfljYn1l+C5fHh1y7lA8bDNWZ9aP0zAJAz1K1odm1KEczj1XZL7y7Yj/WiMrGAPDGsr0AgC5FOcixWXDjcYMBCH3PLyb0wYGmTvz2tRXy+v46s/HlzMbC8t0NGHrPF1i6s16z5uY/L56IbsV5sFgYLp3aH73L8jGkW5GcL3641YGLX1yCwzGkPITLmTUCxhgePGs0rp4xAADgcJlPDEq6PxM1npYnsMKsozQ2PIqJd11etDTrQvSe7zT7WqYivJqxQccwaD8+zjNSCFGPmrGPc/4i5/w8zvm54mtzjGAIw3BHGCAow9AWba/HJ2vUpXqW7mrAPR+tx4OfboTD7YXT4wtSxbWw8EJT7U6PnFuYgRNHKUOvAFQopU29xPObSZMcSo9FQY46l6p7SR5cXh9anYnzZHp9HG8t26tZqiOWfVkV51JZomTJnccDEMKq1+xvxjvL98V9vHDsFVWHpw8WlGb/OX97VNv3KhXu/9PG9gTgrx0aQ/ptQnB5/J5ZLfxqxtSxNHWo8537VqiN2UGV/gmlG48fglybBY+ePSaodviZzywCAHy3uQaPfbUFAHDLycMAACN6CqHzDrcXJfnCffyFopyPRxlmHKWasZwzG+Ok238W7wYArDvQjHrxOs4TJ0LG9C7V3KZXWT6aO93odHlx9rOLsXhHPc5+bnHUx/aGqWlqFIW5NvxyWhUAJLSvjBVp9Ch5h1J9R3q83LBQZzPCQ3jC9ZLOOcLJQi06qO4nzTSW5Vx4Fpot9NkIQj79GWPrGGNrQ/0ls5FE4vFEeMgGKtwuCghfkkIlDzZ3yp6m0iBjlsmDSi3q213oUmSsXD8heD70jJ2kQaIRD/ZoPeo+xQBH8gAFemalayOR4kObDrXgjg/W4Y9vrY57X4IxG7x84W2z0EM0DleK5a5ue28tdtS2xX3MUEj56HefOhIAsGxXQ1Tbl+TbMWNIVzmPUMIs85ourw+5Ylh6ODVjv0hU9iLlbEvUBtxPyvrgUwdUYPODs3HhlH6461RBT6EwIHrmi3V+IzVXVDIuzhP6fqfHJz9blMieWc7VdWZ1tD/SxKtePD6OQ80OFOXaZA/tVUcP0Fy3p3i/LthaKx9XS+hKzzGBxEcISNoDbUlIYYgWn2xcqTF6fK2naxLUjHkYNePQjQqXJ2kmjPSEm6W/NzvaasaxE+9ZD1SkzrYw49MAnA7gS/HvEvHvCwihxkQGEWmAoHxwD+tejH0Nas/VE/OEAvZ1bS6s3d8MQMOYtbCwnX59mzNIwZH6zvhxeXxyLnS40+kvHp/8jk4e4DD/gDjQMyuV7WloT5wIVH27MLBfe6Ap7n0pBaAA4NGzx+DK6QPQV6EW/dBZo+XXC7bUxn3MUEiqtYW5VkypqsCRUQo3tbs8qCjMCUoDMItn1un2ymkNWhMpysmSbCcwzPjaYwaq3itz5vtWFMiz+NccMwi7H52Dif3L5c9veXeNrMb9p9NGysslb6zT41VNjklGrFQXOJYwYzlnNkahOmlio6HdhepmhzyxBAQ/sySkUOzfvLYCu8SQ/Z21bbICv168PkF8JdGeEUl7IBn5+NESbw5nxP3rWEetZuyTJ7n0qRmnF7rHUCG+GHWZkUnGOTJkMgIcPs4zUtU/5NOAc76Hc74HwImc89s45+vEv9sBnJS8JhLJQA4xjXCV9y7Lx+BuRahp9ecL+XxcVjredKgFvxYFboI9sxHUjN1eWfSHOlDjiBSCKSENMGMOM45pKwEujmctjGFsHyHUL7BEkxQdUJdAz2yjaMxq5dJFi+CZ9Z+VC6f0w72nj1Stc/yI7tj5l1NhYcHhn0bSKQ66C3JsKMi1BqnTRmJfQyfKC3KCfhOzzNS7vL6Q4nUA5d4r8QbMQJwyukfIdXsqDD0JpSH2nmjInjK6h8qrKXlmHW4fyvL90TaS8SelPnAevZqxS0PN+M4P1uGUfyzUtb1kzDe0u7BibyOGdCvC9odPwQuXTcLMYZWa20yuKle9z7Nb4OMImtSNhJfzmPvXaLBZLci3W9HmTHw+frTInkLxiWGUYR/rbtxentFqxtIZz8TQUrMQVs04uU3RRPnTZ3OdWcYYm654c5TO7Yg0Qg4xDfOgXfmnE/H1H49Bt5Jc1IglHb7bXIOBd2k76gONWauFBQ2klCg9iBI0BI0fp8crh2CGw22gZzZaG0ea5LAw4PnLJuGv54xB/y7qerd+z2wCjVmFQXm4Nb6atl4f96vnhsFiEVS+n/4uujzWaJA8swU5VuTbrXLYsR7WHxAiLVo63SgwoWeWcw63VxEqGLZMgvbybCJQiVhrkHvqmB4ozrNpDvK1uodAhfuuYkrAjCFdce2xA+Wca+k6bOzwr68WqIv8w/iVkP3rvrlsr+7ScVJY847aNtS2OjGpfzlsVgtOGtUj5IDfbrXgxV9Olt9Lk11nPbMIj8zdpOu4QPAEVyIpyrOhzenB6n1NOOGJBVi4LXGRH9Eg/24Bp8Ho3Ew9E1gcHB6fL/QzLwPG/CFOd2z7MmAf2YDmuY5Lzjj2TQPJ5jqzVwF4ljG2mzG2G8CzAK5MaKuIpKMnxLSiMAeFuTb0KMlDu8uLNqcHH68+GHL9QGM2Umkep8KYJdEB43B5/crS4dWM4xOAigfZmLUwlOTZccER/YI6XMmYrU9grVnlIHtnbXtcdW19AQJQqUQyIvLtVuTnWLGvsUOX4VDT4sBp//cjAOC8yX01woxTP7wJLLuj1SL/gI76lXClSCSeuXgi1t6nHYClZeBOqeqiel+cZ8cHvzsKfzt3LPLsVtwm1i9vV3hFASnMODYBqEiX3qHmTs1rXIpAkWrfTuhXHrSOFieO7I5FdxwHABjXtwwFOUKEw79+2Im3f96rax8eL0+o+JOS4jwbVu1twlnPLML2w22468N1STmuXhJ2GqLskpS/iS4x4zQzBPSrGUdfnogQ0FYzZmE/j/oYBjy7OBcmkzJRB1GPmvEKzvk4AOMAjOOcj+ecr0x804hkEo2ohqRs/NX6atUs89GDu6rW0wozDjeAdmmU8yHiR8953VnbhjOeEYyWojxb2HVDoeywozVxpEmOcAOFPLsVeXYLWhKYB6Ysk/P8gh2Y/NA3UYslSXhCCEBpcdnU/gASF7bb6fYiz26BxcLQqzQfDrcPqxWlVUIx46/z5ddTBlQEhaubwJb1X2tha0KKq2TgQzxalKVIZgzpqrkOYyzkvag0xkrybPjh1lm4XizFo2Riv3I511Ty6EshvrLCOucx58yGm0jZVdeOaY98hxd+2Bn0WWB00GCFenMkepflY8GtM/HGr4/EdzfPxA3i9779fX2GotfnS5qidnGuDZurW+X3Rbna+cDJxq+PYKyacaxGptvry+gwY5rISzxaooMSZpj8UIcZZ6Z2RDg149OU7znnzZzz5nDrEOmLNEDQo2QrGbM3v7sGTQpP1lMXjse/LpskKykGluaxshjCjM0wWk5zhJq/otJrCDPzL3M3yx1yeUHyFaW5Isw4HEW59oSKmnh9XL5+vxcFmdbub4ptX1y/Z7ZPuTDojzaXVS8dLo8sqHX8iG4AgNrW8F7n6maHXNPz8mn9YbUEGzjm8Myqrx2uMbKQrnt5nSwOmPP4BE/U+gdOxr8umxT19soJzIIcG/p1KYgYOlsoChKd8c9FePvnvbKqPYffWwvomxyRrslwyvg1Yg3YbzbVBH2mLAuUa7PIYlV66d+lUIhQKs3DaWN7ycv1PKuEnNlkeWbVz1+p/FCqCRX2avj4Wq+asTd0mHG4NqWPmrFfXDEWlEawmb+nmdAyYONTMzbmxHNkbp3ZcL34Y4yxAwg/cfYXAJ8Z2yQiFUihV3o8sxP7l8mvf9xWB8aA1646El2LcnHyqB4oybNjT3170AAnqjDjzJs4Shkujw/lBeF/1063f0BZWZwbZs3EoFdttljMA0sUHh9Hrs2KVviP4fLGJgYVqjSPFtJgv83hwe66DpQV2NGrLD/CVvrpcHll8SYpXDvceXx3+T7c+p5Qga1XaR4eOHO05npmGNwECsqEa5MZZslTjVRXU1K8jRalMRbOoAy1ze3vr1M9G2paogvld3sihxlLz5EOjdxw5YRql8KcuK4JZV5/basT3UqCBbMCj52snNluJep+vCyEUnOyCQx7Nbwkj46Bv0rN2OcX5dLjvUy3HkRvzix1jbGjGWYc4rWRx9C9raIFQveXeT92uKFWDYAnADwe5m9bohtIJIdIdWaV5NqssgKmy+vDe7+ZhumKEONpg7rgwin9grazWELPXnPOxdzO6Gv3EeHRE2asFASSjJ1oUQ4Ko/Wo+3R7Zm1ocyROodPrE8o0nDOxj7zscJSDbUD4/noFoAB/Xcifdtbj1KcX4qhHv4v6mKHocHlQ3+aSQz31lO2QDFkAqns7EHN4ZoX/0mxzuJxZQpi4jCesUhlt4NAZSeAOqDXrrzMrqHiHKomjvS/BmPWFmRl1hlEjV3pmK+Ksa55nt+KK6VUAgAtfXBJx/WTmzJ4worv8elBlYdKM6EgkKuw11r0J4nHmODeJIN4UCzJyI5NoNWMjn1/ecIJnaUy40jwzOeezIvydk8zGEokj2kL0ZYpQ1PF99QloWBkLOZMveb8CjS4ag8aPy+OT1YxDdYqdBpSiiYfAPKpQFOUm3jNrtTBVSN5/F+8OO3DWQlpdb5ixZGD+/q3V8rI1OnJa9fDb11ZiwdZaWbxJ+q83pDmcp94Mxqx/IkQrtEvdPlIzFgfvcRg2yoFQOKNRyZQQdY05hJzZaEJg/TmzwZ+5PD5srm7B5f9eBgBBaSudLi+2H26T31cUxh+FcuJIwWjcWduOd5bvC7uu18eTljN71CBBlKswx4qKwhwcao5Pnd0oQoW9GnVWpHtb7y3u8fpCjnvCtUnZt5g5bYErYleM2xcRLWZ45nDO4fEmLzokmWRg5DQRCw4xdCtPRwkXANhc7S+DoPfGsIQJM5ZEQEgAynicYerMnvXMIryzfJ9uD0uikL1rEYzZPLsFP+9uDCovwjnHW8v2xpzfKuH1CSGYgYPg2ihVjSXPk14HmFbI55nPLJLrcsbDgq1C7q+URyhdCy6dwjvhcqhN8HwOImyYcQaGV0WLJ07Bm1PH9JRfD+2hTzwpx2ZB95Jgw9HnEyaQwtUIDkS6brUmRl9bsgfnPf+TPDkaaKSMuPdL1ftoPMKhOGpQV5w7SYjkuE0R0aBFMnNmywpy8Ni5Y/Hub47Cz7sbseFgC7w+jg6XR/e9nwiCPYXGnI9oPIjKfsDj89eZ1admHG3LUotez2yafS1Toa1mrHwd/9mNaxcBYfV6nVbpROZ9IyImHFLpjhx9xuwtJw0DAAzvUaz7GEI9zRCeWfHhGiwApXv3hAZy+LaG54NzjtX7mnDbe2ujqjsaCmVfG72asb4w470NHQCAeRvVwi5r9zfjjg/W4Yx/LoproCZ5ZptFVeNpAwXvRmuUoc3S99HtmQ2hIC19XyOQchNtVgssLLwxK00qnT2xNy6ZGpwyIGGG+zNwIkTLe2CGdpoFL4+vLMoxQyux8y+n4pGzx+D1q6bq3i4w1BjwR+SEmmzTQirlo5XKUNfmVIXPh5scLSuw41QxXSZeRvQskV8fau4MuZ4niTmzgFBOa2SvEozvWwZAKGs28t6vMPupH5LWhkCk380ME0tCjWpfXJEK6ULmf8PUodYc1I4Gimv/8e9C3o/H5yPPLJG5SCGHeTpnyKcP7ordj87Bl384RvcxLCx0npNszMozpJl3s6WCwPBtrvEZALQkMA9VD3oFoG49WZhECfSUKtsfTxiyV8xpkx5OUohtc2d0+/RE6ZktVpTNeP7SSXj+UkFl9puNwWqsRpBjs4QVtrJaGH599AA8cf54WQU5kDPH9zJFmHFg2KJW/lKwmnH2ItQZjK9/tVgYLprSD6UF+j2bTo3oD8kwldXWdfwwUhSP1rXX7vRgSDe/tziUB6Io14ZVfzoRpyi8zPHQt9wv1rbhQEvI9YT+JfnDrrMn9gYAORd/Z107Fm6rTXo7gDCeQoOe+dJVEV4Izv9aEkTTXi90m9JGzVg+38bUKSUio3Wq4w3RjmfyR7mlpGafaejqVRljRzHGLmaM/VL6S3TDiOQiGbN6PbOxIIQZa9/QcpixScoHZArhwrcdinw3LdXPeIj2oefPmQ2/3kkje6BrUQ5W721SLVd6lic+OA/VMeaHCZ4Ti9z5S8JMyvqzevCHGeu7nvtW5OPe00Zi+T0nYPboHnKpnr9/vTWq4wYSGI4tkWO1hPTMur0+dLq9ssJyKKxh7udkoletE0i/EMFEkCoxS616slLObTRhxlJKxDPzdwR91urwqASeAj2+0hiuzekxdMJ0TJ9S+fXvXl8ZctLWk8ScWSVS+pDy3Fz28jIs3Vmf9LYEZnAa9TPEOtiPVhAt3foQebIvwnqh7gdyLEQmYphx8poSFp+Pg3OkZEIt0UT8RoyxVwH8HcDRAI4Q/yYnuF1EkpGMgbwEqglbGMOO2nbsrG0L+szvmQ08fuoHy+mMSzZmg39Xw/Nk4+ix/bVCw+/EYmHoWpSLdkUu6d76Dmw61Kpa79vNsXk0ZaU/sRlSrcZoPdeyMavznDDGcOXRA9C1SPAEj+4tDI6PDqMkrIeWEIrFOTarpnEBAPVtLnAeXNpD4rubj8XSu44XSm2lVjcMgL+HCHftmMDmNg88NYMrj4aB5/TEEmYc+qJrcbhlMUMAsAcYyaGiDOKlZ2k+fr77BABCxEtdiBx7SS092YSq737BC5EVmI0mlKcwFdekUGc2PkE0sxOvmjERGdXzJehWM8IjbswDTEr1CBWJkM7o6dknAxjJjTqbhClxuL3ItVkSOmtssQDbD7XhuMcXYPejc1SfBebMZt6tlhpcAZ5Z5W2catEnJXrDjAEhekCpvnzMY/OD1mlsd8XUDimnTWqH5Jl9Y+lefLGuGs9dOlHXTPVnaw8CAPY2hM6fi8SxQyvR1BHb95BoVniUlc3OtYX2zEqGeyhxnIGVRfL+zPBY4AFefWWbeMB/Oa/WBO1OFRzcNN4WOczYLqVBRP5dwhmzbU6PynALLEEhRRJMqdJWV44H5f3S4vCgW0nwOl6uXzDRSHqWhq9/m0z06iPESmBqgRaqsMswgmjh1Yy1X5sN2RMea2kejX0R4dEMM47z5MVVZ1bc2CPOPmdrmPF6AMaoJBCmpdPtTWiIMRDeUPHnTpEAlJE4QwhrAerSLFLfFq4MSzREmx8SzQAn326Fw+UF5xxLQoTJ6S07E4hXzCeRmlEiGrNLdzXgyw3V2KfTOP1ktWDMbjoUOn8uEuUFdjSJxuih5k48M397VEbY9sOt2Kw4/n2njZRf59gs8j0XiL/mdPjHg4WZY3Djb0M4z6y+ULtsgKfIM6uFlOqQr1NFX9gm9L3t8XJ4fBxdxfqxH6w8gDeX7ZU/d3l8OHtCb/z3yiNibHFolH2s2Tyzxw6tVOUSpxK/cSWcB6PORqyDfbfPnzOrS83YNHePPvQKbplkfist0QwzVpxvs5xb6dmerQJQXQFsZIx9xRj7RPpLdMOI5NLp8kY1oIiFcMZskGc28+61lBDomVWizJn1ceD44d3wVRSCXoHE85CXwlX1eIzy7VYs292AAXfOxYUhwuRizQGWPLMXHNEXADBzWDfV541RekrjuY7LCnJkD/Ot767FY19twebq1ghb+TnhiR/w29dXAgDe/+00/Gr6APmzcDmzkmcr0qA7XA58MvGrGYvvw61MHYtgzJrsNEQzkRrOM1vf7oLXx3HKaL+w050frMPm6hY0tLvg8XH0rShIWLjx85dOBABsOKg9ieXy+FIS4scYw/1njEr6cTUJ0Wek4prkEOvMZmAOoYR8tk12z2cSesTG4nlSxvuUlX56KdUjE0vz6OnR7090I4jU4/D4kmDMhv4snAeRiJ1wObOB5XimDuyCisLQNUUTSTSe2TwdA9//LNqNe+aMjHoG0uvjyLFbMbmqIigUHtCfOxtvaBcghC22OISwScmI3tfQoSoDopfBleoSWuHUjKX6nZHOHQtTNzqpBOSEqVVGuXIV+aFuhmanCg5uOu+S9OyJNDfi8fpC5n8Cfo9o4LU7+6mF8utEPmNOHCkEsYUq5dXh8qJHSWpCfo8cUIE/njAUB5o68M7y/SlpAyDce4k0XKWooPAGhtAAH+fw8dA5hOHaqUpnMMGkXiiiEcjTQnkOTPw1TYPWKTJLfytFrGWlZ5ZzvgDAZgDF4t8mcRmRQXS6vMhNsDEb7gZ6Yp6g2hoUZpzQFmU+Lq86J02JIyDMVI+RGA7Vgz9GNWNdObM6r9NYlDoj1YFs0VmiR7qOK4tiD9suF8ueNHW45JnUnXXtUe/nqEFdgkqorDvQjO+31GJzdbAHySu6ySM98CxmyZlF5GuHRFD8pNoze8KI7kHL8nTe044INaRbHR443N6wUQXhas/Gi9XCUJhjRVsI4bVOV+LTeUJhs1rw+xOGqFJJinJtmL/5cFLv48Awd+PUjKOnQYx8kfKd9Rgd6deHSJoCESYnk9GUDCXw1DIwU10nUlvueH+t6n0moUfN+HwAywCcB+B8AEsZY+cmumFEcnG4vchPcFmccJ3pugPNAPwDDbPMZKU7cukLjbCSwLqPA7sWJqVNWkheYj0DveYwZXKUXo+fdzdG3Q6tnLZfTusvv9brmZ3UvxwA8OBZo6Nug0R38bvUtDjRLtbO3XE4WAk8EmVhaoHO2xCs+uzPmY2cY2UGz2ygeFh44RfqV1L9k2nlaus1ZrVq1UpIYk9uL4c1TCjv+L5luo4VK6X5drz04y78a0Fw6aAOlxeFCQpx1osySqfN6cEV//0ZX6yvTtrxfSHqHKfizjzYJGgg9CkvSMHRk0PcnlnDWpK5hI0C0LFOPPuPBin9SnrGZxJ6rJe7ARzBOb+cc/5LAFMA/CnSRoyxvoyx+YyxjYyxDYyx34vLKxhj8xhj28T/5eJyxhh7mjG2nTG2ljE2MZ4vRkRHcgSgIq8TGA5rAsdPWuP0qsO3lefTFdChTRvYJWntCqQjijrH8zaqDbDvbj5Wfj339zPw1AXjAQBPfrMVa/Y1RdUOjzfYMztdUR5Hb71ZYXLIKpf2iYUeogJpdUun7EHYoVHWKhJVXUJPUhxuDRaqkcKMIymbWxgzh2c2YLSmCjMOeCWPoVPf7JQheGaTP0R94bJJ+NVRVbIBMaa3vzarHGYcYR+hQuMBoEuh3+MYKgcyz27B5AQoGSuZM1bI133ki83gnGPd/mb5O7e7PCnzzEp0KQpOJTnQGLvqerQkPMxYVjMOjXR4STeiIMRvEm7yK2vUjOMJucpCNJ+JBlzvRvbZWemZBWDhnB9WvK/XuZ0HwM2c85EApgK4jjE2EsAdAL7lnA8B8K34HgBOATBE/LsGwHP6vgJhBKkWgJIgASjjaHd6cPt7QliJVs6sstOd2K8s7rJM8TzyJM9sqEGFEqlczoNnjsLOv5yKgZVFKMyxYniPYlQU5uCsCb3ldW96Z3VU7fAqlC0lTh7VA+sfOBl2K5ONykg43D7kxRnpIBmzBxo75ZzZlXubcLjVEXKb2lYnfv2/5Vi3v1ledu2xg4LW6yXue2uNX1Cq0+VFgyigA+gVgNL5ZRJIYD6s5jpxeicyC56S83DSqB64/4xRePKC8bhu1iD0rciXP9N7r4TzKFx/3GD5tVaI/MfXTccXv49d4E4vvz9hqPz6yv/+jNP/+SOOevQ7VN3xOVodHl19XCLpXyFMbl177EB5WbhJAqMRwowVSq9GXY0x7ObH7XUAMnvc4e/7SM04UQSFGTNzPWsCf3ufGR7cBqMn3uVLxthXAN4U318AYG6kjTjnhwAcEl+3MsY2AegN4EwAM8XV/gfgewC3i8tfEevZLmGMlTHGeor7IRKMw+3VHeoVK6GEO5RGlVY4LBEb7y7fJ3ve5DqzSl+V4udIlLqnXupF4ZYCe+R2fHL90Viw5TAum1YlL1t930makyWeKDttr4/DquHVKcq1oapLoe6cVSPup8qiXFgYsKm6FT4ulE2qbXXit6+txPu/PUpzm+cX7MA3m2rwzSbBe33drEGa9WK/+P0xuPW9NVi2uwGzn/oBE/uXY+WeRmyubsV/rhDKlkQWgILJ1IylMGONdcT/NGBLfc7s2D5lGNunDNeJStuAfjXjcPezMoJCORFzxfQqXD6tClVJSqMoyrXh/d9OwznP/YT5W2qDPt8YR7kuI5g+uAs+vm46RvUqwb8W7ASQ3LBDDu3aUEZHC0QTNZLJ447AOtyE8ehTM479HjP67qwsNk/daaOIOHLknN/KGDsHwHRx0Quc8w+jOQhjrArABABLAXRXGKjVACQ1iN4A9ik22y8uI2M2CbQ6PQnP5XGHmP1VlloIFCqKpwPIdpTGiJaCp9IQMTr0Te844pn527G/sROMCV7ZXmWRO9kBXQsxoOsA1bJAqXmrhcHr4yjIsYkGqr4nuUesM6tFeWGO7jDjuesOoT3G8kASNqsF3YrzZC/rPXNG4PdvrcaKPY1Yu78JY/uUqdZ3uL14+cddqmWhoi1KC+wY1qMY8zbVoKnDrSr5I83aRhaAYqZIA+ABIcRqNWP1ukxHXm2mk+gwT90o2pAnqxmH/108YTyISiX2glz/s+zuU0fAlmRjZWK/cvQpz8d+jfDdQ02hIyuSAWMM4wLyhkM9mxMB5+qUI6OvRT13duAxQylch1cz1n5tNvRErujel4m/p1nQVjOOn3j2IV3HE/qVYdXeJpw6pocBLTIXunp4zvn7nPObxL9oDdkiAO8D+APnXDUlKXpho7o9GGPXMMaWM8aW19YGz3oS0cM5R2O7SzOXxkjcIWZ/n/3eL5QhzZCaYayV7igHcFoKnsoHkxEh5rEMSh77agveXLYXLZ1u9CjJM2zQecfs4QCATYdacMIT+sXXwxm+hTlWtLv0qRnHa8hKjOhZLIujdS/Jw/xbZgIA3l+hLq3hcHvxnrisd1m+7I0d0l1dkkdJQY5Nc3Di0WnMMpjDMys9Qfye+eA2maGZZoFzc5TmkVpQlGvT7RkL9QwBgJI8vwGrNE5SUYaCMYaFt83CPy+egJV/OhE/3j5L7mPH9S2NsHXycfuSZ8x6vBy2BNR1jeeazo0izDgV+ebxwHVbs9orpNe3NQcMMMmMoRrOhZSOdLuG9RCyR2GM/Sj+b2WMtSj+WhljuuJkGGN2CIbs65zzD8TFNYyxnuLnPQFI+bgHAPRVbN5HXKaCc/4C53wy53xyZWWlnmYQEdhR2waPj8s5eonCFaKswv7GDvl1oDFDg9DYUSrf5mrUcVQaIqkuov3Z2kMo1giHjZWrjxmIsX2EQeOuKMrZeDTUjCUKc23ocBpjpOpF+bt0L8nDgK6FGN6jOMjjc+cH63DPR+sBAO/+ZhruOEUw5sMptxbmak9gePV6Zi1m8cwKhM+ZpVA7CdN4ZkWGdi/S3Z5wNWYZY+giemeHditSLU8FjDGcNrYXKgpz0Ke8AD/deRyunzUYfz4zdoXzRFHb4kyamJuPa08YGv0rRfN1Mrm+vRy5Qmap4egq5SQrE8ZxIIPuTR/nsJqp8zeQkHcw5/xo8X8x57xE8VfMOS+JtGMmPEFehlCX9gnFR58AuFx8fTmAjxXLfymqGk8F0Ez5ssbx8+4GnPTkAk0Bmz31gjEZGLZoNKHKmmjdXBl6vyWVA01+g0fL86HsHo1+mOsJ4wyc3OhaaGxkwOEWv1LvDW+u0qUEHM4zW5pvR327K+Kgb/4WYX7ulpOGhl1PD0cqFKa7ifUh+1YUYJ9iAggAftjqj1LpVZaPi6b0w+YHZ8vlfbQIlScthRzqK82Tems20POgVjNWt08aWJig2SkjsM5nqpCMTGVOd6SfRcuD+L8rp2DNvScBAJbdfQIW3jZLdd+YhbKCHNxy8rCEa1PEwgerDuDy//yclGMFThgafi3quLkDJzhiS7HSlE03H5IAVMxqxopdmfl7pgCtcY6mmLEhasZxbCv+93h53EKfZkVPndlX9SzTYDqAywAcxxhbLf6dCuBRACcyxrYBOEF8DwiiUjsBbAfwIoDf6fsKRCDvLN+H695YqVIsu+uDddha04aJD87DH95aJavHAv66nWUGesa06AgRepmKMLBMh3Ouqh2opRaqFt6K/zeIdua3M+B6OGlU9xBrxkZ1iz837dM1B3H845HDjcPlzA7rUYzmTjdqWoLL2QBAY7sLdW1OXCEOCoty489Bv3J6lfy6UNyflIun/P2GiuHEmx+cLS+LNGjuXpKruVz6XSKFApotZ1YWgNJoEwlA+eGAKU6E1IJoyldpCRWN6lWCUrGWstXC0Lcic2uGGs28P/rVnZUTYonE60vMgDqeS1qaUNHnaUsv9EYZhz5/6faNUw9j5vSDh4qKyAT0jLZGKd8wxmwAJkXaiHP+I0LfBcdrrM8BXKejPUQYOl1e3CaWYzl9bE/MHt0TnHPVwPaj1Qexcm8TfrhtFgBgb4Pg5SkrSKwx2+mWBsnqy0IafFx19ICgbcwwWE5HpPp5ADC5f7lsmIQSrUhFmJV0PUicP7lviDVj48bjh+Dpb7eplu1r6Ag72HV7fCHzdkf2FAJSNh5q1gzJn/KXb1Q5fUVx1JiVYIxh60OnqO6ZvuUF6HB5Ud/uQtciwSCtaXFgztieUXl9RvfSzt2rF6M3SiJMbllM5pkN94ym0jx+OOe6an4nGikyo095foQ1/Xg0PLOhJp9+dVRVUG45oSZcTn2iEHJmzRWNlaneKkDR95lgAivT0DX5YUSUcRzbCo0Q/nl8WRhmzBi7kzHWCmCsMl8WQA38ocGEyfhhm3929TevrcSafU3YeKgF6w4047czB+Hbm48FIBiw34vhkNtq2tCvogBlBYkVgJog5u8pVSe9Pi57VK5QeKFo2BkfUl3SR84eg/dClHFRpp8ZnTOrx8aRjNm7Tx2BnX851fCH7U0nDsXuR+dgeA//gK2mJbySqMMTuj6sNPDbfjg4XHlPfXuQOI0RnllAmGhQDrYGifmAn605CEAwTg41O9AjTEixFuWFOZjYrwwAcPzwbvLyWrGcU3Fe+PYzMFMYs1Ib5BDiMOF/WorH2YZZwoyllBfl5FKk30XLMxvK03D/GaOw7oGTY28gkRC8Ad4hw0vyRLn+A2eMCvmZbjVjE8cZB6q9G7EvQkAzzFhjPSP8tEbcJb4ERUWYgXA5s49wzosBPBaQL9uFc35nEttI6KTd6cFfv9ysUnU885lFWLGnEQBw1vjeGFRZhCV3Co7xL9YJYahNnS5UFmuHHBrJC7+cjOE9ilUPsr99tRl//XIzAO2wRuo8BZbsrJd/x0hwzvHiQqF+YLnobdd6kBktABXtw1IKZ+1bUZDQDvalyyfj+UuFYJKmjtCldTxeH7w+jjybtnezWDROtcLlj33s+6BloYzieJkm5gMu290AAGjp9KDT7UXPGATc3rxmKtbdfxJe/tURePBMYVDX2OFCQY414jVhYeZIFZM9sxb1e9U6JIIiw8FN4aWRNBRK8+2626Ptmc1c8Z5MxBsmlSMeYt2jMiJNn5pxjAdKEXoiVwBzTHBlCgzmvE682SgApWAZY0yOR2OMlTHGzkpck4hY+XpjNXbWtuOJ88dj96NzMH2wMOi99+MNAIB+4gx4j9I8HDu0Ep+sOYh9DR1Ys68ZlUWJN2ZL8+0Y37dMZUR9pcjrVM/WJrw5acP6A8248IUlOOe5xWgNIaKl5MftdfjPot0AEORt5yFeGy8AFRnJM2t0jdtA+pQXyCHCksdaC4cY9hhY61jCYmHIsVpUIdwAVKHMVV2Ee2xo9yIM7xFRJy8mcmwWjOhZgrnrquFwe+Xc4HBiT6HItVnlnEVpQqGxw40SHSHSTMyZTZYKamSCOw0e8IL6FfN4ZlsdQpkr9bUWqc5s8Odky8bH/100IanH84TwDhk90aS3W7JkeKfglZXcY/ueGX564iKqMOM4npPxPmKldnq8mZszq+cxcB/nvFl6wzlvAnBfwlpExMz6Ay3Is1swSwwZlLxREkqj4fRxvdDp9mLG3+ajzenBBVOMzVcMBWNMFd6q7GATMVubCZz7/GL59foDkatiHWr2h9KWhwkdVwtAJX9E6JCM2SSoe5YVCgNmSexMC6fYnnB5p3l2i9xuALj9vbV4Yt5WAMCcsT3x/a2zsPvROfj6j8cmtNTVmeN7AQAe+HQjTn7qBwCIyTOrRJqx/WFrrUo8KxThBJeSCQ8wVLWa4xeAYiHXyRY4N8cA1SlOHuXZLbrNGI9GaZ5U9F2ZxOnjeiX1eL4EeWYlou2Pwg3uwxkrqolhE3co0nM+kkculLGrXGrm75kKtNWMg5cZo2Yc/058nGfs5J+er6W1jjHJYIShbDjYjOE9SuTOuTjPjnX3n4SBlYXy4Ffi3El9cPbE3rBbGW45aShmDk1OzV4LU9/sytvTqqGoS52nWsxpc7WOEs+KcxZO1MtoAahoutr3V+zH7e8LQmXJMGaLc22wWphmaSoJSQgtVMkaAHB5ffhSjCY40NSJt5fvkz9L5mTM0YO7AgDeXLZXXhaLZ1ZJtB4K6eumOm/Wr2Ysvg/THBPYcCmHg5si3NorhgyHElzTQiobJUVAACRsk254fBzWBIyoY70OlP2enj2Y4d6JBvGWyXgPtKlg/mvJDNeL9NNnsgCUHqN0OWPsCQDPiO+vA7AicU0iYoFzjo0HW3BawCxrcZ4d3908U3ObJ84fj8fOHZfUsANLgGdWSUJrz6UpPrHu6Smje+DbTYfxwKcbUVmci9PGhp5Nd3r9xm+gMaucSDA6ZzbUcbS4+d018uv8nMRPFTLG0K+iAOsPhp4M2FzdCgCYIIoiaeFw+1DtduD3b61CY0D+7axh3UJsZTyjepWgR0keqlsc6N+lAFbG4vYEK0P/fq2hLB4Ik43ZuA4bN36l4mABKOkzmhTzwzlM1cHaFZOYegWg/nflFM08dcL8eLw+aD5uDL4m9eptZGrYpYRX7KBjnT/IUNvHEKIxVON5BhmlHZPJAlB6jNkbAPwJwNsQfD7zQCV0TMfhVidaHB6Vcqsekt2RW5i/cwWgeoBl+kMlFnbVt8Pr45jcvxyfrT0EALj+jVVhjdlOl0d+nRtCzAhQd642A+rM6iXQ0A3XRiM5dmglXl2yB99srMFxw7sFdeoHmzphYUD/MKV7zpnYB++v3I+PVx9ULf/bOWNx1oTeCWm3FowxfHbj0fD6eNweWQnlAFNPiR9/yG6qPbMCYZVHg7y32WvdmsWWla4fu9Wie8AsPTui8eYS5mL+FnU9W6ONpWjv7XDDDv1qxuZFDjOOML7S8zOY+XumAv1qxvFjxD6yWgCKc97OOb8DwLGc8yM453dxztuT0DYiCqrFPMmepfpr9qUCi4WpjFlVmHGG3mTx8NLCXQCAgZVF8rKSCCVTtNR2I6kZG3Lude4jUEBJj9iQEUyuKofXx/HrV5bjHUV4sMSBpk70KMkLO1B+6KzRQct+dVQVzj8iOTnnSroW5RpmyALqMDQ9YefmyZmVDNUwSbMiFJIKwCQ5s9LYOpqoELcYmmyniU8igFivCEuUwpNmuHeiwRvYPxIJR1AzZv43KUZqgjebBaAYY0cxxjYC2CS+H8cYezbhLSOi4rBYG7JbEkrsxEOuzYo2pwcbDjYHfaY0ImjQKSCV1jl6cFecPVHw/LU4PCoRokCkkjcr/3Ri0GehxvlGpzCFM3ACFZkj1TM1ikGKCYFtGrViP1h5AIURasMGKi8P7V6Eu04dYUwDU0z0xqzwP/U5s6HfSzPnqTa4zYRZcmalPl6ZXhLpZ5LCjDN1QJYN5NosuPbYgfL7RI359d7zRkzkmjnSQw4zpjGV4UQVZhzHcYy6vLycZ+x1oGcI+ySAkwHUAwDnfA2AYxLZKCJ6DrcKntluJeY2ZqXam3Oe/hFAZKPVxM+IpOBw+1CUa4PFwvDE+ePx6NljAAD1YYSMOlxelBfYUVEYWskYUBshyezgWhwe1ftk5XB0VZSf2lmrNma3i8atlpEbyO5H58gKoDOGVBpe1ihVKA2E3Cg8s6bJmQ0bZiwghxkntEXmxixqxlITbFame1DoUYQZJ0M4Llv47xVHYFj36FKUYoFzDqfHh9wEholHe2+He/aFuypTnV6hF6l/jBhmHOJj5b2Z7eOxQDSvAY1FRjhn4tmFdHyhLFbcTTElulwinPN9AT9GaLcQkRLW7GtCUa5NNWA3I4H5kaHuTxOMtUxBh8uDAoU3UDJQa1oc6F2mHVLe4fIGKfIyjRBM5YPJiLxVvb+Z5Jl98MxRKm9polEa98t2NajEEP725Wbh/7ljde1LKgdi9vstGpSDOj3Xg18AKtUjHLXnIayXxAxWXIrhMMdpiKUNHlHczm5lWHzHcXKtaiI+Zg7rhsYOF/749prIK8eBW/Ss5yZgIiLWa1o9uI+8ExPcOlHh98zGtr0Z+op0gzH/FICZTp8vg9WM9djo+xhjRwHgjDE7Y+wWiCHHhHnYdrgN4/qWGq5KazRKj09zh9sEA2Fz09zpVoXhdikSDLKzn12MA02dQev7fBxr9jepDGAt9tZ3YO1+f6h3skJ9AaBV9MyO6FmCo8QSM8nAamHY+ZdT8eczR6Hd5UVdm1P+TBoUnzepj659ecTcvS4RvN/phHKwoyx9EgpZAMoXYcUEI3mGtbyufjVj6mckODdHmPGEvuUAgDzFxElENWOfP8y4vDAHvUJM6BHRk4hyOYE4PUI/q6wNLF2LhgtB6VzPkDDjuPeQOHyUM5swkqZmbGSYcYamaOjpvX4DQb24N4ADAMaD1IxNhc/HsbW6NalerljJtfsvuXF//jooBzGQdAnlSRQHmx2qAVuXQr8ncPH2uqD1f9xeh+2H23D2xPBG2TGPzcfn6w7J7+Mt6xINkjFbnCThJyUWC0MvUSTtoCiaBgBOtw/TBnbRHQ4k/Q7JnARINMowtK46cu/9xmOKc2ZlYza0IFVQmHEWdytm8cw+ccE4fHTddJQX5uhuj5Qza8/UWLkUkow62U6PMPOlHAcYTbT3drjBfbjnQbr0IbIxG1HNWPtz5SlIdV9vNrTVjIOXGXNnxb4XpnjuZaVnljFmBfAPzvklnPPunPNunPNLOef1SWofEYGdtW145afdaHd5UdWlMNXNiUig59jj5ThpZHfsfnSOanmG3m9R09ThUoXHVnUtxOjeJQCAW99bG7T+d5sPI9dmweVH9Vctl06nVkf72lVHGjIRonro6RCASpUhKE0OHFR4tlscbpTk62/PFdOrcONxg3H8iO6Gty9VKAc7kTz7gIlyZqVrOnyCm7gKdSxmGYQX5Ngwvm9ZVNt4fD5YWPLy7LOJZIhquURjNicBEWSx3ttKj2VGqhmLkTOZasSYEUHNWHxtsvOeqX1n2B6Fc+4F0J8xljmxdBnGpS8txf2fbgSQJl6igIGU0+MLW9MyVQMvh9uLPfWpr0Al5L+qz8+n1x8NQFukZ39jJwZ0LQzKmQ3HkQMr4mtklPg9s6kyZgUvtMqY7XRHVSKob0UBbjppWMaIPwHqQV2hjutn5d5GAMBnaw9GWDOx8ABDVa1mrMZk44qUIHhmzXkiInl+3F4OG3llE0KqPLN+NWNjji9dQXpTC4ww4s0yQaSF3zOb4oZkINGpGcd+kcR7eSlbmamTGnou750AFjHG/sQYu0n6S3TDCH3UtflVbUvykx+2GS0je5Wo3rc7PZpGWaruN5fHB5fHh6e+2YZjH/seh5qD81KTSafLi3x7sJjTCSO6YXA3wZv60aoDuPfj9XC4hTzQSo0Q0XDnM9mnutXhBmP6DKZEUJpvR77dikOKMOOGDlda3D+JRPmQi1SiCPAbsyv3NCasTXrwhxlL70OHfukvApPBcG46/7Te9nh9PtisZmt9ZpCMnMpvN9UAAHKs5lGiDmfLhg32SJMuRG/OrK6fP02+c7LQDDPWOkcG3FpG3Z6ZqlOjZzS5Q/yzAEi8djuhm398sw0ur199ZUSPkjBrm4PRvUux6k8n4oNVB/DgZxtR3+5KaP5MtJz45AK0Oz1yaO++hk70LE2NyAjnPEjNWKI4z44tNa0AgD+8vRoAsLWmFS0ON/qUh26vVj9m1CBGJeEf5qnX4vDI5YZSAWMMXYpyUCvWZt5Z2waH22f6Gs2JRjlzr8fjLNUzjpT3nmhkQzVcaR4d5XuyBbPkzMaC4JlN08ZnMV4fx6ZDLXjoc0E7NCET2AHb6x2yq8KMYzmQyZHUjGP1yFFqRvQwphA2S3FbAtlT35HqJiSEiMYs5/yBZDSEiJ4nv9mqet9PhwKpGSgvzEGJGGLq9XGVmmUgyZ5Dkm50yePtSGHpB4fbBx8HCnKDz09Jng0tnep6rUt2NqBbcS6KdHjVlCR7YNvq8EQV0psIDjR1Yn9jJy6d2l82ao8alDxlZTMS7WBnaPdi1LXVo3tJ8sTDtPAF5ISp1YzVPQgNzATD3qzKppGcBt9sqgmqU02Yn398sxVPf7ddfq+cLDP6SoxWudyQMGMTuyz9au+x1uYxri2ZRvLUjOO7vpQ/vd2WmT9oyFEvY+wpzvkfGGOfQsOm4JyfkdCWEWFp6vCHF0/uX45pg7qksDXRowzpPKgRypuKQafbG1xjJJXG7JX//RmAEBYbSEm+Ha0Ot1x3UeJwq1PTmA13PpOZP1fb6sT7K/djSLfUKm9Lz4a56w7hs7WCqvPASvMLqCUSe5T5v/fMGYlTn16IAV2jP28N7S74ODekTq9UVilfClvXUjOWlpGaMXxmDDPW2aD9jalN+8hoEnhRrNrXpHqv5ZmNl5jrzIbZMGy0h4kNWCU+qc5sjKf887X+qgfp8Y2Th94wYyNuLaNuz0xVgg/nwnlV/P/3ZDSEiI5LX14KAPjNsYNwxynDU9ya6FF65s6b1DfkesmoD9koDqwfn7c16DOHJzVFNDnn+GmnIBquZcyW5tvh40BNqzPos3D5jok8m3rUjF/5aTcAoS6yGfjv4t3yaz15oplMnyhrdkrh75FycLw+joNNnehbIUSONHW4MPHBeQAQpGIeC5IxG06BOcCWzWo4N2+YcXWzA82dbkwdmF6Ts0R4Fm5Tl5HL1RB9NLzOrM6HnVJYWc/ErlnvnVBI/XMy1KoJAQYmP2zMcb34GxFYUSRTCDl645yvEP8vSF5zCD34fBzrD7Sga1EObp89LNXNiQmlku2s4d2CV0hiBzBBHFhrkSrPbLvLf1wtY1byIq4VZ7y7FefisGjY6lEJLsixosOV/O/W5jRHiODzl07Eb15bCQDoVZqHowZnd4gxgKi9pNLgSKr9GYo3l+3FPR+tBwDMvXEGTn16YWwNDIGcuysOkJWz5dKAVpoUM6uKbzIJlMIyE1eI0ShGTHIQ0ZHMK6JM8UxL9T1pSMi9iV2WXp0CUET0pGPaSqYK6IU00Rlj6xhja0P9JbORhKD6e+2ry7GvoQNrDzQDAE4b2yvlD4JYkQy0y6f1j7BmYqkN8GzOGNIVc8b0lN87U2TMtinywrSM2W7FQp7iOvFaUNb6DDfr/fDnm/Dl+kNBnxtNqGe7JEbxyNljEt6GcMwe3RM3nzgUAHCoxaGq5ZutRCvIJa0fyTP79s/75NcPfLpB9VmnARMqzy3YAcAvRBWuOf56y9kL59wk3gIl6gZ5U128mEgoWs+0eIn1kg4fZhz6s3RJVZDDjA1QM05GpFw6oRlmrLHMiHG6UX12pnrow7lwThP/Xyf+l8KOL0V2jwWSyoo9DfjTRxvwiwm98dWGGnh9wNkTewMALjgidHiu2elbUYBPrp+OkT3DKzAn+kJT1pLt36UAr151JBraXdjT0I71B1rgcKcmzLjN6ZZfhwozBoBnvxcG8nbFbFtgHq16vx785rWVshfLSPR0kY0dbgzoWoiLpvQz/PjRIgkXcQ4yZkX6VRTgiCp9dYclwaUwlxsAoN3ln5ipaXGoPmvscCE/Jz618K3Vgqp373Aq3uJ/8xlxqcHsp6HdlXqRuGwjURPjWgaQ1jPNeC9X9HVm9bTA7PdOINK8UCxGjI8mlWKC+aOMDble4p1DUN7a6Xb96iWkZ5ZzvodzvgfAiZzz2zjn68S/2wGclLwmZjfnPPcTNh5qwcNzBUl7p8eLA6IIRq8oc9zMxtg+ZbCFiN9P1g0n1Ro9Z2IfPH/pJACCYfPh76YDAB6euwmj7/sqSa3x06rwzGqpxQbWkv38xhn4x4XjMaZ3KU4e1SPi/l2RLJAE0dThQlmBOQap3Ur859AIIaJM4IfbZuHx88fpWlcaHHl94a+lDqcX4/qUAgB2i2rhfSuEvquh3RW0fnOnG3d+sC4oaiKQpg4Xvttcg063FzccNxg5Yl+i9eCn0jx+zJwzKyH1fx+u2o+qOz5Hq0OY3OtZmofzJ/dJZdMylkRdEp4Ag+jaYwaqokCMVzOObn0jSsSZ2eTzyp7Z6Ld1eFIngJkORKdmHKcisUF3SqpKIiYaPYonjDE2nXO+SHxzFMIYwURiWbitDnvqO5Bnt8jlbTKZREe1SJ6ie08biVKFkWW3WmC1MHh9PCV5ntIxfztzEPI0vKh5diuGdS/GlppWHD+8GyoKc3Dm+N44c3xvzf0Fdl+JDuML1XHXtjrRp9wcJaR6lPonCY7TytsmwuI3ZsNfSx0uD/qUl2PNfiEkvmdpHp48fzzOff4nTWP2oheWYOOhFtgsDOdM6oPhPYqD7oHGdpcq131Ur1L5dTiVUWlAkM3RchzcdLlegca1pFXw7x93AwB21LZjfN8y+Din3L80wxkgopioMMdYPcux1l9NF6S0gkjnR6tPaAsog5XF3aYmutWMU3yJKQ+fqf2nHmvoKgD/ZoxJo4UmAFcmrEUEAKED+nyddm7j3oYO9CrNS9t8WT0k67tVNzuEiYH84Fshz2aRhZiEB0Lyzrf0EDljXK+Q63z5hxkAUi+gIRGpGU6PF3sbOkyjVNqzRPAO9qsooDDjGJAGgfd/uhE9SvMwe3TPoHU45+hwedG/SwHKCuxo6nDjULND9s43dbpV61c3O7DxUAsA4NUle/Dqkj04YUQ3vHT5Ear1bnvfL9vQoyQPx4/ohi1iuLE2kgBU1F8z40gHz+zxjwu6kzOGCMJsjWIpOl8atJ1Q4wowZm2BxmyCVF/1Tlgpm6OnDWZ53urFG8cEUIvDHXklQhMmX9fmqmOcoY7ZyB5WzvkKzvk4AOMAjOOcj+ecr0x807Kbt3/eh+vfWBXy839cNCGJrTEPa/c34bKXl6JRw6MTC4eaHehRoj0xoPQGBc4uJxopzC6cMjFjTH9HaYIObPGOenS4vPIANdWUFtix7K7j8f0tM1PdlLTEqsjTlpShA2np9MDj46gozMHKe07EMUMr8fylk1Ag1oTtUEQ9cM4x+x8/AACOVqhLz99Sq/L0e7w+LNhai0n9y7HzL6diyV3Hq8oNKAexfjVj4b90v6RLjchEwJE+BqGU27+nTtA2EAzxNGl8mpGo0+oMCFW1JrjOZbT3tiFhxibuTry+2L3PLQ5zVB8wK9FEuCzb3Rh0L0R1LIPuT7NF5RiF7l6Fc97MOW9OZGMIP5J3QouRPUswuX95EluTOs55bjFufXcNHG4vOOd4b8V+LNxWh2821cS13x21bRh011x8vu4QBncr1lxHOUBOdhmbVnGQX5xrjvxSPSgHmVrP9iU76pFjs2C6icrgdCvJy9gckkSjZ4BU0yqE8XcXz/MrV07B7NE95Jq+yhJUe+o70NThxvi+ZfjflVPwt3PGYkTPEnh9XC475fR4MfjuL+Dy+HDZ1P6av124cWWif+k2pwf3frze1B6NZEeZ6CFUa6QJxfs/3Qivj4NznrGehUwl0DObqDKXsV4WsRp6iTBg250e/GfRLjR3GNd/cM6hZ/5A6zS0BETOmNloTwXaasbBNHW4selQC+79aIPGp4lH1d9naP9Jua8mRfJcAMDiO47DrGGV+OT66dj60CmY+/sZphuMGI3y2727Yj+G/+lLXPCvJbIozMs/7lKtf9M7q1F1x+e69l3d7MDxjy+Qc/1G9tJWVK5WKK9uDjO5kAikMOPCXONVh1PF9sNtGNi1UDMHmEg/tAZIS3fWqwy56ma/MaukQCyjo/TMrtjTCAD427ljYbUwnH9EX/xpzggAwAmPL0BThwvD7vlSXv+kUd1V+5S6RE0BKJ3fKV5ueGMlXvlpD15fsjdJR4weztMnb8qtEKrrdHvh4+bL980UEnVeg3Nm1R1Hon5Nvfe88l7Qcw4SefV9tvYgHvh0I15dstuwfXp9sYcZt5JnNiYYY/K1pDzzq/c1AQC+WHcIf/50o25RKCMnETJ1MjDzFYTSCI/Xh3anF6UFdnQtEnL4jhveDb3K8vGfK6akuHWpZ9nuBvl1szhjuHx3A859/id5uR6vQ12bWiX1tLHBuX6BJNsz2+Z0I99uDan2HC1mGADurGvH8B7aXnAi/cgJuDa/33IYv/rPzwCA1feeiLKCHFlgrUeAMWu3WpBjs6BNUbZnxd5GFOfZMLiySF4m5Ve3Oj0Y/2e/4NPC22apJvzUcMUr4bU0GJAGdYnyMEjq6P9etAu/nTkoMQeJE18aeTebFB4qh9sLjswdjGUqTneEnFmDiV7N2IBjGjRddvv76wCor/t48XIeR5ixeSNMzEC04ypJHfq3rwtpOUO6F+kuUxjP/GM2CECFvI0ZY2eH+0tmI7OFuz9cj3F//hpeH5fVHP95cXbmxka63w41O/DI3E14Y5naA6Int1UyhB86azR+uvM4DO0e2cAKLC+QaNqcHhSlsVp14IBi5d5G7KprR5ciElrKFBhjuOG4wfJ7yZAFgAVba7G/sQO3vicINSnLIEkU5ljR4fRPEn2zsQYT+5WrQoctFobXrjpStd1NJw5F34pgRexwAwueBAEozjnqxVx+h9sLp8eLqjs+x5PztibuoDHgM6FnVjkBOapXCa45ZiAA9cSjw+2Fz2e+EOlMId7Turm6Bbvq2oOWu7yBObOJUjOObbtY25PIvPsdtW2G7Uuv4JvWOnd/uF69L4PalCnoVTOW2COWppP4cVud0U2KiNn6fqMINyd1uvh3FYCXAVwi/r0EHWrGjLF/M8YOM8bWK5ZVMMbmMca2if/LxeWMMfY0Y2w7Y2wtY2xiPF8qXflw1QEAgnJjQ7sbhTnWMN6H7EWqWfmvH3bicIvay1qvQxhq3QEh9XvW8G7oWaqvVq8vyckirQ5PWPEnI+hTnp+0kjQv/rATADBnTGh1ZiL9OHO89u/5+7dW48Y3/QJ2WqHlPg5srWnFvI01eGf5PhxudWKURsh/12L/BMhts4fhxuOHhG1TuFs1kY/xbzYdltMgWh0ePDt/BwDgH99uS+BRo8cnluowK/+54ghccERfAMC2w/5BfXOnGw6Pz9Rtz1Z+3FaH2U8txKy/fx/02f7GTtV7m1X9A0qTE0ZPUuhXM1aEGcdo9BnN/C218Bk0ge718YRNIBjJkp31WLw9+cZdImBQXCcBp16ZOqF3XBnvlaBKmTX/pRATIY1ZzvkVnPMrANgBjOScn8M5PwfAKHFZJP4LYHbAsjsAfMs5HwLgW/E9AJwCYIj4dw2A56L5EplCnl34Od7+eR9qWh1BeWaEwC+nVSHXJpyrHwM6v3C5rc2dbrg8PrQ5PLBaGHqXhTdk7zhlOI4aJIQ5Jtsz29ThRnGeceJPWh3Yc5dMwr9/dUTwB4agPl9NHW4cUVWOaYPMUZaHMIbB3Yqx+9E5cqmd3x8/BL+YINQ6Xrm3CQDw4i8na27b3OnG0l0NuPqV5bhN9OCeN7lv0HrdioV+sKzAjt/NHBz0eSDKKy9YzTh4HSNweXx48LON6FOej7MnCt/fbEasBOfmSDsIRZ7ditL84L5vztM/wuXxZaxnIV1pd3rwyBebQn5+/ydq0ZtE/37R3ttGtMeIue4Wh1tldA68a67unMpw+Hh6GLMXvrAEF7+0NNXNiIpY+tEahRZLNONKo/rsTI1s0ZMt0Jdzrix4WgMgYpA35/wHAA0Bi88E8D/x9f8AnKVY/goXWAKgjDEWOZExw5A6nMe+2oKWTrc8QMxGtG7cT68/GhdM7ovTxvXE5gdnyyIySurbQntmxz3wNX79ynK4vT7YrZFv6N8cOwgP/2IMAMDrS25pnt317einEUppJNLkiVGE6yMbO1woK6AQ40ylu2hwTh3YBY+cPUZe/uwlE3HiyO6a2wSOr2wWhgFdC4PWqyjMweu/PhJvXj01bBvCXX/+IYPxD3K314eh93yBvQ0duPH4Ibj/jFGqz81Ww9iMObPK5uTaLGFF4kzW9IxB67xuOtSCq19Zjs4QmhGN7S6Muu8rbDgYehJZuv8lvYRE5czGOtiPOczYwBmxJ+dtxdj7hRSzv/zC338qIxNixadTvVzP+TPCuE7mfhONdqh5+O+i1F8xyvseDWbr+41Cz2j2W8bYV4yxXzHGfgXgcwDfxHi87grDuBqANMrpDWCfYr394rKspdXhQZGBnrl0J9dmwZg+pfjruWORa7OCMYaqLv6B75SqCgBCmHFjuwv//nGXqoOUXv+wtRZOj09Vdicc0oPXm0Rb1uH24kBTJwZqDOyNJFmqwg63F5urWyN6won0ZY4oota3Ih95diu+uelYLLh1Jk4dE3pO8q/njFW9/9VRVSHXnT64K0b01FYdDyTcwChwTPfVhmp8vPqArv2GYluNf8B5yugeKMmzY3zfMnmZ2TyJZlczzrFakGcL3T9TKa0EoXFaH/96K+ZtrMGCrbVBn7m9Pkx4cF7Qck/Aw5KBoXtJrhxeHGg8hojGjBu9Oa3RXk5G3zrbD7eqojhOGNkNQ7oJInhaOcjR4vVFLwAldaGJHoNI1IVxQqQjjPmvk8BJAqUgmvI5EY54jX1lG8zc98dDxBE95/x6AP8CME78e4FzfkO8B+bCrxP1L8QYu4Yxtpwxtry2NriDTWfaFWIo7U4PinMpX1ZCywubLy779dED8Pa1U2Fhggrw3R+tw58/2yjLoAPqepZLdzXIYcqRsMjGbHKsWc45fvnvZeAcml6qWNHqvhJpzCr73rOeWQQAGNStKMTaRLpz/azBWHTHcehTLkQTDO5WhP5dwl+/ysmNV66cgptPGmZIW7jGa2kwwALeX/vqCvz+rdVxHW9LjeCV6l2WL6cGKHOh6tqcWKPoi1KNT2fdyVQwomcJGGNBKu49S/0pN94UeDOyDen+kJ6xT2uEzC/ZWS+/XvWnE3Hf6SMBCOKFgOB1OtziEMQMc23yMyEwZ9Zooh33GxF2Ge0VyTnHlupWcM5xwhM/yMtPGNEd3Yrz8Pa10wAAH66Mb6INELQJYvU+Jyu9aqeBglfJJJZoAKfHiyJxbF8QzRjfoNsmsApBpqDrW3HOP+Cc/1H8+zCO49VI4cPi/8Pi8gMAlMlSfcRlWm15gXM+mXM+ubKyMo6mmI+eZf4HdmOHK6NqjEZL4PNFK39YChU+YkAFGGMozLGhw+VFgygC9aeP/Up8B5v8IhSbDrWY1jO7p74Dy3YJ0fkT+5Un9FiGhxmH6G03V7cCACYl+PsQqcOiIwc9kCPFsjtjepfimKGV8sA5VvSJtxg/kN58qBU5Vgu+v3WmvGzaQHVu+NnPLcbPuwOzblKDj5svb8rvxdBG6U1o6aRyIYlA2X9f8d+f4fL48OmagwCAjYdaZCNVQnqmLrxtFsoLc1AiTuS8vnQvpj/6HT5dexBT/vItvtlUo9J/CKwza1j7k3xJx2Pm/Xfxbpz81A94IkDp/KXLBX2BcjHF7MsN1ViqmDSIBUEBPPJ6WusEThwlyrR9b8V++fXhFgd2G+CRTgbRqhkDwmSPdC8ly0mi/G2NHveZhYjfSizFs40x1swYa2GMtTLGQidIhOcTAJeLry8H8LFi+S9FVeOpAJoD8nQzGrfXhxaHW/XArmtzoSiXwowltPKHB4n1KPuK3qD8HCs6XV7ZUF1/wH+ZnvPsYtW2eo1Z6TdJVKezr6FDVcttzf4mAMB1swahXxfjcma1Bq/JCjOe0K8MU6oqMFJDqZbIXqwWhi0PzcaHvzvK0P1qDSZkAShDjySwYk8jRvQqUfUpt548DBP7leGta6aCMWFQeJ6iHnYq4SbMmZXQGlCfMa4X6tv9qvXkmE0832+pxRfr1UOwwDIi+xo6YbUweaK5RBTteuyrLTjQ1CmXpHJ6fCpl/sCcWXkiw+BrMpbITF1GnwG9yBfrqwEIFRkkuihy6xljskHbGGfNWW8MAlDSqfMkydhSlqyZ8pdvMVNDFTudYMx/nQReU/sa/N9Vr+fbyC4vWeO+ZKNnRP83AGdwzks55yWc82LOecRRKWPsTQA/ARjGGNvPGLsKwKMATmSMbQNwgvgeAOYC2AlgO4AXAfwuhu+Stlz/xkqMvf9r7KprV4XTpnOd0XgJ7HqbOz1B69w9ZwT+c8URspFUmGtDu8urCiHeWiN4BVsDZpX1CEAB/gdvosJtZvxtvhyGC0AOebxmxqCEHE+JXoM+FqSztWZfE1btbULvcsqXJYLJtVmDQkrjRa1mrL5vjR4w17Q4sGpfE44erPbE2qwWfPC76Zg60Hzq3YIAlEmtWQ0uPKIvHIo8s0TW98xmAi+JwPD75bsbcMlLS3CvGPE0b2MNygvsyBGftyUB45WDTX7V1iJFOGXi1YyTf31Em9MojUtcHh/6dynA678+Ep/deLRqnbm/nwEA+M1rK/C+wnMZLfHUlU5WSL+ynrSEUhzp49UH8IkYJSCxYk8jXvlpt3wuU0EsExvzt/jTIz3eaNSMjUFvil26ocdaquGch9ZdDwHn/KIQHx2vsS4HcF20x8gE5q47hK821MjvR/culcNMKWfWj9Z4tyDHhlnD/HVSc20WONxe5Ctq85705A+4dGqw+Lbe2SmraPSu3d8cZYsjI4UP7awNDqkpTUMla63n5ZmioZ7NIfNEcgg3sJByWI0cSL+3Yj98Pg6vj6v6IbPj4+ZTBNbyzh09uCt+3F4XZJqkqfBp2vPSj7sAAIu21+OVn/YAAPoroodKAsopuRS5OcV5ipzZIAGoxFyNib5OYhXlWbm3EU0Kb2tVl0JMH9w1aL0uhbny65vfXYMTRnZHS6cbfcNUOZC1ARQ3ks+nLxJDa5WgSfwEnNPaVid21rUjx2aBy+O/ZvY2dKBK1A2RJlZOH9sTjDHsa+jAOc8J0Xa5Ngu2PHRKVMesa3Mi325FYZxjbM0w4wjbKFPekl3yEQCuPmZg0o+ZDPSY6MsZY28zxi4SQ47PZoydnfCWZQGfrjmI372+Un4/qX85LpriTx2O90bLJPQMQnNsFni8vqBC1K8t2Su/vuroAQCgCnsKh6QC+OGq+IUYlHDOccELS1TLHG5BpOr44cYPjJM9eOVcXRz8jHFZLU5OJBGtQaY0A25UNEJ1swO3vLsGt70v1MeVUh60GKIQPnsyIEfO6+N4femekKVPAtlW0xq3J4LrLNWRCpSGzUmjhGIHUhqJRGD/TiSOO08Zjr+dMzZknt29p42UXwcas0p83D/It4aIijLDFanrvoizoWcHpDxVhUgnygnwoI174GvM+Nt8zH7qB5z5zCIs3l6HtfubsKXa3x9Meugb3PzOGtV2sdSZlfpQbxSew1iRwtmPCqhB/82mmqB1n5y3Ff9ZtEt2+ABCGHs0uL0+TH7oG9z45qoYWqsPBhZSB0A5keF06+v3jZpEyLNbZJHGTEPPiL4EQAeAkxTLOIAPEtKiLIFzjhsUN9MtJw3F9ccNwaLt/ryUbA4zDuwB9HTGdqsFbi+Hw+VFz9I8HGp2qD5/9OwxcjhLvl7PrOK4Hq8P22vbYLMwtDg8GN+nDEBspSLq24Ol6KUSH3rl2mPlifPH4WiNmWCjkXJD/n7eOEwZUJHw4xFEINIYQPISSekF8dpD6w6oIzXKw9SSffnyIzDjb/MBAP/4dhuOGdoVk/pXoMXhxptL9+KRLzbjszWH8OY14evoAsCJTwrKp7sfnRP02Zp9TajqWojSMEYFYM7SPFreucum9seZ43sHfR+yZROD1hVx7bFCussZ43vBxzka2l3oXZaPn3bWw8KYKoxeGWY8Z0xPfL7On3OrNMwSVWdWIhXXRyzHtFsZ3F6OaYNCP4sX3XEcpj/6nWqZJKh48UtL5WUfXTcdw3sUo6HdhQ9WHcATF4yXP/P6Yk8r8CbhZH61oRoDuxbi8mlV+F4RgvvQ50JAqHKS5OnvtgdtXxhGOPDHbXXoUZqLwd2K5WWSZ/TbzYdDbaabWKIK2hUpb7vr9QtdxTMBKW1qM6uMvQFEtJY451ckoyHZxjeb1DeSFDpSXuAfFFGYsR+t0jyB2K0MLq8PHBy9y/Jxw3FD8MgXm9Dq8KAkz4ZfTOyNV8XwqMBZz1Aow5HfX7kft7+/Tn5/6pgemLuuGovuOC6skuv6A81oaHfhmKF+9e2aFrWhffm/l8kG3/QhiTU0C3Nt6KahDh0vyq72n/O3y0qYA7pm5kwgYS7CPeulKAF7iPve6+PodHuxaHsdThjRXXPyzOP1Yc3+ZlgYcPUry+Xln1w/PWy7+lYUYNcjp+KRLzbjhR924pznfsJH101X5cr/tLMe1766HP+6bLLmPnw+jote9EdyVN3xOTb9ebasAO3zcTmk/x8XjsfN76zBSaO6Y2dtO56/dJIcrgdIObNhm5wylL8hY0zTMCfPbGJQDpYvObIfzp/sjxKTnoMFYgrPURoGWKEivUcqw1ZWYEdTh1tVDiSozqxB12LgfhKdOxvL3jnnyLFacPlR/dGnvAAv/bgTx48IHYkljGMGY0dtG+auqw653lnPLMLUgf4J46YOF8rEsaTeHHmtVQLDYI0+pxe+8BOW7GzAJUf2w6zh3XDupD4qZeN/fLstYn3xXLsVj36xGSN7leCMcb3k5fd+vB6v/LQHjAG7HvFP/u1v9If57qhtCxtVEwltNePw56jd5Tdmm5OszB5riaZ0IOSInjF2m/j//xhjTwf+Ja+JmcW3m2pQ1+aUB0PStSU9JEb2KpFnmrLZMxs44zWqV2nEbexWC9ocHizaXo9DzQ5cfGQ/tDqEjuOU0T2Ra7PKyotTBugXZrly+gAU5lixck+Tarn0cHlhwQ58tOoAXvlpt+b2p/3fj/jlv5epBA0Ot6gFDxZsrcVjX20BAPSJssSJHpQPqkR5ZZRd+KcKsYaqCPVGCcJItMYSUphxqBp7g+6ai9H3fYVrX12BN5ftxfbDrai643M8/PlGeZ3/LNqNc55bjF+IYYJPXTAe2x8+BWPFCI1wMMZwwRF+40BpyEp8taEGta3BQih1bU4MvGsulu5Sl/b5fot/QlQpcPf7t1bD4+OYu64am6tbMfPv3+OlhX7VVB+PLZokGehpFdmyief4Ed0wLsoIIeU1dcVRVfjVUVW4ftZgAGqlXmuI548ZQt/1tCCaVu5r6MAORQ3VlXub4PL6MKR7MS4/qgoLbzsuYurDzScNw7OXTMIjZ4/B/100IeR6S3b6+4fvFF5H4X6PotHwP8sTKQDl83G5zePEPvTyaVU4aWR3eZ1WhwfLdjWgMMeKrQ+dgkuO7Icv/zAD950+EhXiNdXQ7sLzC3YEhQ1Led2cC2JREvsb/WrCT3ytTvswCvWknPq18pR2un1o7nDjue93hD3XRv0KiY6KSCXhrCVJ9Gl5mHWIKGh3enDV/5ZjaHdhJqg0345vbjoW//fdNsxQeON6lOZhR227SgEwm7njlOFyrms4cqwWbDwklOM5IIaS3HTiUDwxb6s8mz9nTE/k2a1R5aXm2S1weHwhZ5BX72/G/8SO88zxvbFoex1eWrgTPUvzccxQ/++6s65NDne55yNBEfKeOSPkcBqJRHhNlSSzP7MwyA8dgkgGytlyyfDxhxlbgtYJ5N+Ldsn354sLd+GyqVVYsK0WD8/136cvXDYJJ43qEVW7BlUWBXkelt19PMryc/D4vC3414KdOOLhb/DsJRNxsKkTDrcXO2vbcbTi2XDp1H44ZXRPXPLSUny5oRp3fLAO3Utyce6kPgCAET1LsOlQcOW8hz7fhFy7FZdN7Q8f11d3MqlE0R7yzCYG5TURay3Y9Q+cjFybBXarBfefMQpurw9eH8evplfJYcc2nZUE0pWx93+FN66eitG9S+X0AiktYHO1cG8G5ofq4aIp/eDx+jC+bxn6VhRgXJ9STBvUBTe8sQo7xbqsv5jQG5+uOagyoL0+HnICIRyc8yADa2tNG6qbHehRGv8YZWed0MaxfUpxxnjBozqmTyle+OVk7Khtw4OfbZTDjs8Y3xs5Ngse/sUYAMDwHiX41VFVGHDnXNU+PV6fpjr+Oc8txnOXTMQpY3rKDg4A+HzdITzicMs1kqMl2jDjfLsVHaI+Qr7dCofLi6e/24aXf9yFxTvq8NdzxqJXCGdGPHeN1M5M9syGs5YGMcamAHidcx5cF4WImteWCAbPVjE38m/njkVlcS7+fOZo1XpSB5Kp9aCi5fjh3XQJt2itM2NIVzwxbyuOEEN4LRaGExUzf3rIs1vh9fGQg6g1+5rk1w98sgEfyGJRTaq8oYXb6jC4WzEONHXiQFMnhnUvxjkT+6iM2atnRDba4yWZ+XI5NospZtyJzCfcVeYOyJkFgMMBof4Sgerixzw2X349bWAXvPDLSSiOcfDzp9NGysbsw78YjW7FwqDwkin98a8FgvdUKQoIAMt2C96Ls8b3wgNnjJYHJB+vFqIfmjvd+MvczQCApy8cjyHdhQmzXXXtWLyjDnd/KBjmf/poPYZ2KzJlzqyMjnaRMZt4YvXgBE7A260WOe9WIlZDORKBhkXi1Yy1l7c4PDj72cXY+rBfYfeEJxbgYFMnThndEwU51rBpSeGwWS346Dp1WsP/rpwiG81zxvTEqr2NmL+5FreePByAGGas6/dUr6PlKdx+uA1TH/lWM2c/Gj5dc1DWjPnHhROCxrqDKovw78uPwDnPL0ZLp1slNCa3VqOvWLWvCUdUVeBQc2fQZ799fSWeu2Qi3AGiVv/8bjvuOnVETN8jWjVjpTFblGdDh9sjp9At3FaHox79Lu5zG45s9cz2AfAUgOGMsXUAFgFYDGAx57whzHZECCQjVmJiv3LN9QZVFmF3fUfYxPZMRz1LrO8G1MqHm9CvHIvuOA694phJlOpyBXaCWnwQQvU4327FnvoO+Hwc54hhio+cMwZlYgmeS6f2wwWT+2FMn8jh1LGgfNAncxxr2kEzkbFoDTLdXh9sFqa6Hl9UhN4CQLfiXAzrUYyF2wQRvkAv57XHDsRNJw5Fri32frk03645WOlbkY9h3YuxRUOpeH9jJ86e2BtPnD8+7L77VuTLhiwADOhaiAFdCzGiZ4msoCopqJv1rqQw49ShPPeJ9OCEGlCb4ZrUJWasYyVlWSJAMAIBQXejf5cCQyd4+1YU4Jihlfhhay36dynA7nohjPaNpXvx1s97sXZ/Myb11x5rhoQntmzMWz8LFSZOHNk9pJqzxcLw4e/C6xEEIqnCT3tEEM164IxRuO+TDfLnv319JY4MIUb547Y65NktmFwVv1glg/86UY69lEa7lFKyp75DtW2b0xM0KRRrGSi5PWITQimJZwIhjVnO+S0AwBjLATAZwFEArgDwAmOsiXMePFVChCXQcVhZnKu53pMXjsfKPY0JDzdNF/QqsNlD3KixzoJKSA92l4YE/Pi+ZVit8MxKTO5fjuVinsa7v5mGP769Gv9dvBv/XbwbADB9cBdM6FsGxhi2PnSKMNBO0qxZsj2zBJEMpMta/dwX3ni8XBXeyLk6dwkQwuFfuXIK6tpcKMgRahD6fHq9GvHBGMNXfzwGLo8PT3+7DYO7FWHmsEqM//M8AMHe4s9uOBp//nQjrj9uMO79eD1213eoSj4omdivHB9fN10WiALMN8kktcZkzcpaEuHBke7LRF978Q78Yzum+n2O1RIyB7Isgtp4LPzjgvH4emM1BncrwsVH9sMbS/firg/9YpWxhBnriYDYU9+OsoKciArqSrbWtOKnHfW49piBuDNGj6jErScPk7VGAH96mURRri1onZV7G2FhwPmT++Ktn/fJBualLwvq0NF4RqMNM87VKHH1iUJfBBDUlocqJiXlYxlw29gzWM1YzzfLh1Cep1T8OwhgadgtCE3eWe7PlXr/t0eFXK8kz46Zw4yvNZpOqGaJdc4mKcVdjCwFI4UvK0VW5t44A1/+YQbuPV2Y0/n25mPlAcC7v5mG9357FBbcOhNvXj0VR1RVYOawStU+7z99lDxzl2OzJFWQJZkDWb0lkAgikbi8PtitFtWAIDAUrbwgB4wxVBbnyjW+ky2UlGOz4JaTh+GsCb1RVpCDa48VCtw/dJY6FWV071K885tpOGZoJd75zTQAwEkjQ+fwBg6izBptpqdZ+VkcsZQsEumZDXz8yB6sOA+Z/ImQ0MbeUYO7BFUskEjEuS0vzMEFR/QDYww3Hjck6HM9Nkzg+Qvnmf3TR+tRdcfnOPax7zHuga+jmkB48LONKMyx4TcB4eexEBievCbAsXDKmB64btZglYHq9nLYrRb85RdjYLUwdLrUWZSbq1vg8eqrXautZhymvYqonlkBY0KJt3/ep+vYsZDJObPh1IxfYIwtAvA2gGkQQozP45xPpnI9sSGFDXcrzsWY3okJJ80UlP2B3lliZc7sW1dHrtmoF6kDaHP4PR8je5VgeI8STOxXjt2PzsGgyiK5Pqz0v3+XQkwThR7uP30UFt42S94+6QMylZpx8g5Led9EstEaYLi9viAl43anumB9eaHxHpN4ufOUEdj96ByMDvO86Fach4+um447Tx0ecp2BXYswQFGex6x57HrapadMGxE9ylOfyfUow6HH06bnznG4vehwaUvNrD8QLNBmJFqCi9XN2oZ1KDg4vGHSql4V9V8kHvlic8R9tjs9+MWzi7BwWx0qi3PD1ubWizSOHt27BOP6lOJAU6dcNeIPJwyRq4QA6us7xyo4EErz7eh0e1XG+OynFuKOD/xe7ZhgTDPaRDnuu+TI/qpNlt19PADt3y/eWAPJy56VxiyAfgByAVQDOABgP4CmJLQpo/D5OM5//idc++pyFOTacNGUvlh29wkUfhkBZYiO3htQWq84z2aoR0UyplfubQq73suXH4EPfneUphCVzWqRawkD6pp8ySaZA9lcus6JpCFc18qZcc6F0g0Lttaq7kvO/flVEsW55jNm9TK+bxm6FmmnrQCCx/dNxQSf6cKMI7Snp0LzQGmUE0bi/w0SYctKk0yJvvRSkVMdOIHmcPvQFjBZJhGYT2s0OTYLzhPVzSUORWnMAtHlzOrxJt7z0XqsEsdQknpxvEwZUIEfb5+FT68/GiX5drQ5PXD71Mr1Ep/dcLT8WtJXybNZxN9KPfHw+dpD0EO0YcZ5igiZ4oDSm+ViXWCnmM62/kAznv1+u+JYsSONpzNZSTxczuxsJjxhRkHIl70ZwGjGWAOAnzjn9yWpjWlNbZtTVqMEELMEeLahzE/V65l9Y5kgKqCUXjeCQKn3e+Zo53mUFthDinpJjOtbhjX7mlCQm1zvAkuRZ5ZCAolkEzgEu+md1djX0IniXJtq8NEe4DkJHFxkGoWKPsesE/ShmvXxddOxs64dDe0unBxlSSQielo6E1fAItAAYBqvYtuvmlSpGQOiZ9YZfA6vOnoAZo9O/PUbKCqkJ/818PzprTHbtyIf+xs7w+oLuL0+fCiKYw7sWogbNEKhY6VPueAkyLNbUdvqlMeOgZE4I3uWyK+lMWVejhUOtxeN7Wq9AYdHeyIikFjUjCUCFfFtFoZ8u1UOez772cVweX349dEDdbUlHNLERKKUxM1A2Kc3F3zv6xljTQCaxb/TAEwBQMasDgIT0o0IrcgGnApjVq9nVkugyQiUxvTgbkX49YzYO5dXrpiCTdUtcSmixkui8gC1npeUM0sknYDr8ECj0Ae3BgwuAz2zBRle11sZDWJWVctQXrtuJXkkiJhglOd+bAJU9ZPlMY3nMPrUjCOvs6e+Axe/FCwtc8+cEUmJjBrbp1TlRIlWmJhzwOPTN54a0LUI+xo60er0hBSCklTh/++iCTh9nDFe2UAKcqzodHvx1jLBSxwoCKo879Iku2A8etHQ4VKtG++1KqgZS8dVttHfB+faLcixWeRxK2MMhbn+0j2SB7+xwxV3e6SJCbtZZzENIFzO7I2MsbcYY3sBLIBgxG4GcDYA49R1MhxpICWhFQ9PBKMMxUl1/o7SmH78vHFx7au0wI6pA6MvmG4klDNLZCJaY0QObUVtDqDD5cVZ43uhv1gaIsekBp5RKCexpJA2s5DZZz79KEzAxI70HA0WgDJm/6nMAw80Njrd/omy724+Fr+bOQgT+5UlrY23zh6meq/Xy6rkM52htoMqhbD/lk5tNXUAcrmzfhXaZXiMoCBHKH/48NxNAICcMA4DyagsL8jBt5sP44t16u86qleJ1mZBRBtmrIyOsVmYnIYlGfj5OYIx26LQZ2loFwzteK4djze7c2arALwL4EjO+SDO+WWc8+c452s454kN+s8QvD6OL9dXq5ZVmGwQYVZUYcYpHmRKM3y5NgvGieJO6YbyDCbzoZ+nIUVPEIkkMPRLmSagvPQ7XB6UFeTgpJHdAQTnWGUikjidWSdVox0cEunD85dOwpXTB2BwZZHm50Y/lrRCQI3dvz4Kc224bfZwfBBlzdR4iCXySzku4Bx4VIeoEwCM6iV48X/YVqv5+aZDLXJpnO4JjK7It6snYLT0Oi4+sh8Av4ic9JX/9YO65rjeyRxtNePQV4ayjVYLk43LMb0F47nAbkOHy4M/f7pRXk8yZuMhG3JmQz69Oec3cc7f55zrm54hgnhi3hZ8HjDjk+xcyXTFLXpmTxrZXfcg8/8umpCQtkh5BpmiohlLzblYyUthODWRnQSOJULl3He4vMjPscpiSIlKUzAT3Utyxf8mDdnN3LGW6Un0qa/qWoh7Tx+Z8HJX8YRk6mlZpAmXwMdrpowblFQW5+KYoZW4bfYwecL67g/XB6XVAcCGg371Zqn/SQT5Oepx4sT+wfol0nhE+k3OHN9b/qx3WT7OntAbvcvysWxXQ9C20cCYdi642jNrkVM/pMkHyTP70456eb0FW2vjnpiRQsYzOWc2c7+ZCVi0vT5omTSLRYRHGlhGM+g6SiyDY3SHKQ2GMyX/M5lK2nkZ+CAnzInWEJNzbWN2xZ4GeHwcBXarHOJ11ODUhv8ng4fOGoN75ozAuATkRMaDycSViSRiWJixMbuJCaWpcdpYdU5oKisXxMPUgdrZhJP7l2PR7cfhlSun4HczB+OEEd3lzy5+cYn82uvj6HR5cVA0cL+/ZWZCo8IKAs6zVkjz0O5CVICkXqycaPj4+ul44oLxOGZoVwBCvdlIRBtJomyj1cLQtVgYq0pjywLRmK1tdcrrvSB6jeM5c1KYsV4x1XQkPe+yNEEqmv34eeMwoV8Z+lUUBCnjEtpIfV5RFAqjFYU5uGJ6leE5qVK4SjqXU1I+RJLxPWwWBo+PozJMuRCCSASBc9hac9pviiIhs4Z3w+jepdj1yKmmrb1qJJXFuXEJ2CWazP8FzEuqr3+jj54qNeM+5fm48bjBePo7oaxKoj3RofjshqNx/Rsrsbu+A0U6wmaVreQQjNHRvUuC6uKO71umGkPk2a3458UTcP0bq7CnvgON7S48t2AHdta245tNNci1WdCvogBVCS6ppXQ2rL3/JM380KMGCYbqqaN7AgCOG94Nv505CNfMGCiLs140pR/eXLYPu2rbMbyHvtxZvSiNZ6VhWVZgl//PXSekJg7oWohdde2GHNevZpy5PSwZswmirs2JQ80O3DNnBM4JqPlFROaCI/riULMDNxw3WPc2jDHcd/oow9siqZyarTZjrARK1huFMhTmgiP6YkDXQlw2rX+YLQjCeAJzliTV4tkBJV0GdyvC6N6ChzLVA3lCgH6G1JEppz6ukEwD1IytjOGmk4bBx/V59xLF6N6l+P7WWXj6220xlbPadKgVw3oUBy3XMohOG9sLLZ0e3PXhOpzxzI/Y1+APN3Z6fLjpxKFRHz9alI6PUCUw+3UpwPoHTkahaFTm2a24ffZw1TqS0f3gZxtxypieMbVFUDMOFjxTGrNWK4NTFAqTDGnl5P+RAypkYzbeiZnpg7tgZM8S3HLSsMgrpynp62oyOXl2K568YByOV4RgEPrJtQmdTGDoSCqQZvwyZaCVDKGbfLsVv54xMKUliIjsQssgdbi9WHegGSeO7I5nLpmo+iyRyppEdEjheiQAlX0Y9Zun8vmsnECTPLG3nDwML11+RKqaJHPj8UM0jdJwNHa40Ob0YHJVcN5pqIm/bmLIrGTIlhfYkWO1YPrgLjhzfGLK8Sg5eaQ+g70o1xZ28lIyhA82O8KKOcVCfoBn9tpjhSgZqQZuZbHfmD11TE/84QShHq/Px+OabSrOs2Pu72dEfR2kE6m3FDKUolwbfjGBPLKZgDQTGaqGWjqg7AcTFWasHJTY0zgkm0hvlMOPBz8TVCE557BamGrAO6a3ufJGicyZMExHUn3ujVczjqENUVgMoQydZAosGomy2f9bvBsAsKeuI2i9UJGq3QK0Slbde5JRTdNFqRiqa6RmSmOHGxWFOdh4sAXFeTb01TEBGs7+VYZ7Wy0Mv5jQR2UndBU9s7NH9cAxQytlz74jC8QJ44WMWYKIwKDKQtx68jD8YkLvyCunAYHFxI1CGd6VDWVOCHOiHExISprTxFwpJeUF6Ts5lamkqR1AmIhE58pqCs0pXmfCo0+qQ337KcPx5QZ1eclQ6Vbdiv1inUoPYzJZ9acTDSk/88zFE3HdGyuxs7YNFYUVOPXphQCA3Y/O0bU9Y/5pEWVrCnJsmHvjDKw/2KwZtSaVBJJEh6WowA6XJ6bvkU1kwG1HEImFMYbrZg1Gr7L8VDclZpTPn2QYmjkZXM+MMCdaV5yU/3Tl9Kqgz0rJmDUNia4JSpiXDQebDdlPYOio0SGigVz80lLN5ela/kTpla5tdcJqYehbHjzmCeWZ7Vrkr139wBnGa5foobwwB8Uh8mWjYayo9j5vU41cJtIIGANG9irB+ZP7an4eWBs3X0yzc7h9lIIRgfS86wiCiJlECUApIc8skSqUQ1iH24sh3YoUYhz+AUEokRAi+Uh2Bw3YUkeqzr0otIqGdldKjq8kmsgAr49r1qbOhLqyW2paUZJn06y+ESrfVLnuqTEKJ5mFvhUFGNKtCAu21GLI3V/Iy9fsa4q4bbiJuUiX17HDKnHB5L64Z85IAJlxLSULCjMmiCwjUaUCnG7/g52MWSLZyGMshUfG4faGDHlL5xz4TIXCjLOXlk5jQimlu39nrTFlTYJQXKM769owvEeJKrRZTxmcdKCxw625PFxVhy//MCNjapmW5tuxfE+jatlhRf3XcAhqxuJrxemI1L/l2qz467lj5fdKwSjqG8NDI06CyAKSMev+7vJ98usJ/coSfjyC0GLNfn/YYofLizy79ux2GYUZmwYKMk49qR4sd7iNMWY/WnUAbU4Pbn53jSH7C0eThsGnLBGTTgT+/kO6FWmuF26eeniPEgzulhmKucUav2Nzp7aBr5doS8Dlh3h2EcGQMUsQhCEoO+oJ/YIl/Qki2XS61cascigxqFJ7sEYkn0TnNxLmR6oHHS97Gzow+r6vYto2Wnv+wheW4OHPN6qWpUr8yGjeumaq5vJsqcmtlXurx5gN15VFe+YozFg/ZMwSRBagVejcaMoSII1PEHrRij5weXyoCOGBzZZBWTpBv0n20u40xphNNIH9zIsLd0EZWzCse2Z4JrsUaT/Hw4UZZxKRPLN/mbsJ/5y/XXNb4RQF186Otn9TGrPZcdZjh4xZgsgCElVbVonkAfv7eeMSfiyC0Euf8si1AYnUQn5ZotOdHsasFu8s3y+/LsyQnNlQBCruZiqBY6ZcmwUtCmP2hR92Rr3PaA1SSc2YiEx2XJUEQSQcp0cYjJCwDmEmBityv7LEqZB+yGrGRKoZ0bMk1U1IGbFGBsRi2KQr+VkS+looGpLnTeqDpy+agG4luWjqEBS3tVSsJcKFGUcbIUc5s/ohY5YgsoSrjh6AWcMqE7Z/qdB6pqg5EumFchz6wmWT5NdDulNurNmRylnQZEPqkM495S+HJ9uv0WzJ47x6xkA8dNZoPPSL0ThjXC8U5tiwtaYNAPDiQvXkxePztuLUfyzE4VYHACG0WEvNOJQYYSiU51qvknK2QqNOgsgS/nTayITu/6kLxuPbzYcxkIR1CBOhJfSUKeUjMgVOntmU06MkDwBw+rheKW5J/Ky57yRc9MISbDzUkvBjPXbuWNz63tqEHyfRRDLSrRYGr49HbZClK6UFdlw6tb/8fnN1KwBg4J2fy7WRlWw81ILpj36H7iV56FWar7nPaL3aypDuBVtro9o22zCVZ5YxNpsxtoUxtp0xdkeq20MQhH66FOXi/Ml9U90MIsvJtVlU4YJag68SCoU3FeQMTD1dinKx8c8n43czB6W6KXFTmm9HSX5kX83o3uqQaj2TKV6FJTN7VA+V8X/upD6622g2lPfgVUcPkF9fNKUvxvctk793WZb2ndJvq2XISri9HPsbO0Pmf0cbNkyCePoxjTHLGLMCeAbAKQBGAriIMZZYVxJBEASREUiDsYrCHHlZr9I81TqSYirldZsLacLBGSYXjUg8BTm2pA+gv7npWEP3d55odEQyHNbcdxLe+81RUe9fUrQ9eVR3PH/ZJOTZrXI/k86GntJIv+OU4fLrR84ei4+umy6/H9e3LJnNMg2BE/X/ueII1fvrZvkngdYdaJbzavc2dMjL48mB/fevJse8bTZgpjDjKQC2c853AgBj7C0AZwLYGHYrgiAIIutpcQiDTCl3GwhWMq4Uy01cPWNg8hpGREQq69XUEbmOI5FZDO5WhCMHVGBsn9K497XlodmwWwQfTSSjXGtCy6cjRKBRFAFS9jOL7jgOH6w8gDlje0bTXFNR1bUQT14wDieO7AG7NbSfK1vCjAMZWFkov/7ltP44enBX1ee3njwcM4ZU4sIXlgAAdtW1AwC+31KLB88chflbapFnj91/OLp3/PdHJmMmY7Y3gH2K9/sBHJmithAEQRBpxICuhagszsU9p42QFYyvmjFAtU5pgR27H52TiuYRYegperYm9i9LbUOIlPD2tdMM2U+uzW9o3XDcYCzcVgu3l+O44d11bV9RmIOJ/cqwcm8TzpmoHTLcRYz8GNunTF7GGMM5aRxiLPGLCaG/Q5fCnKwuodWlMAdlBXZMG9gFfz5ztOqzMaKhOXVgFwDA8B7FuHrGQNz87hrcdOJQXDatCpdNq4rpuFMGVGDZrgbV5AkRDDOLch1j7FwAsznnvxbfXwbgSM759QHrXQPgGgDo16/fpD179iS9rQRBEARBGMee+nb0LM1PSk1sIntocbhRkhdd+K80Ltby7nLOsWxXA6YMqMiqnEanxwvOs9czCwAOtxd2q0UusXO4xYH7P92Av507Tq7isP5AM0rz7ehbYUx9c4eYf5vN512CMbaCc64Zb20mY3YagPs55yeL7+8EAM75I6G2mTx5Ml++fHmSWkgQBEEQBEEQBEEkk3DGrJmmQH8GMIQxNoAxlgPgQgCfpLhNBEEQBEEQBEEQhAkxTc4s59zDGLsewFcArAD+zTnfkOJmEQRBEARBEARBECbENMYsAHDO5wKYm+p2EARBEARBEARBEObGTGHGBEEQBEEQBEEQBKELMmYJgiAIgiAIgiCItMM0asaxwBirBWD22jxdAdSluhGEKaFrgwgFXRtEOOj6IEJB1wYRCro2iFCkw7XRn3NeqfVBWhuz6QBjbHkoKWkiu6FrgwgFXRtEOOj6IEJB1wYRCro2iFCk+7VBYcYEQRAEQRAEQRBE2kHGLEEQBEEQBEEQBJF2kDGbeF5IdQMI00LXBhEKujaIcND1QYSCrg0iFHRtEKFI62uDcmYJgiAIgiAIgiCItIM8swRBEARBEARBEETaQcYsQRAEQRAEQRAEkXaQMUsQBEEQBEEQBEGkHWTMEgRBEARBEARBEGkHGbMEQRAEQRAEQRBE2kHGLEEQBEEQBEEQBJF2kDFLEARBEARBEARBpB1kzBIEQRAEQRAEQRBpBxmzBEEQBEEQBEEQRNpBxixBEARBEARBEASRdpAxSxAEQRAEQRAEQaQdZMwSBEEQBEEQBEEQaQcZswRBEARBEARBEETaQcYsQRAEQRAEQRAEkXaQMUsQBEEQBEEQBEGkHWTMEgRBEARBEARBEGkHGbMEQRAEQRAEQRBE2kHGLEEQBEEQBEEQBJF2kDFLEARBEARBEARBpB1kzBIEQRAEQRAEQRBpBxmzBEEQBEEQBEEQRNpBxixBEARBEARBEASRdpAxSxAEQRAEQRAEQaQdZMwSBEEQBEEQBEEQaQcZswRBEARBEARBEETaQcYsQRAEQRAEQRAEkXbYUt2AeOjatSuvqqpKdTMIgiAIgiAIgiCIBLBixYo6znml1mdpbcxWVVVh+fLlqW4GQRAEQRAEQRAEkQAYY3tCfZb0MGPGWF/G2HzG2EbG2AbG2O/F5RWMsXmMsW3i//Jkt40gCIIgCIIgCIJID1KRM+sBcDPnfCSAqQCuY4yNBHAHgG8550MAfCu+JwiCIAiCIAiCIIggkm7Mcs4Pcc5Xiq9bAWwC0BvAmQD+J672PwBnJbttBEEQBEEQBEEQRHqQUjVjxlgVgAkAlgLozjk/JH5UDaB7qtpFEARBEARBEARBmJuUGbOMsSIA7wP4A+e8RfkZ55wD4CG2u4Yxtpwxtry2tjYJLSUIgiAIgjAXPh/HvI018Pk0h0sEQRBZQUqMWcaYHYIh+zrn/ANxcQ1jrKf4eU8Ah7W25Zy/wDmfzDmfXFmpqdBMEARBEASR0Xy85gCufmU5Xl8aUuSTIAgi40mFmjED8DKATZzzJxQffQLgcvH15QA+TnbbCIIgCIIgzM72w214d/l+AMDm6tYUt4YgCCJ1pKLO7HQAlwFYxxhbLS67C8CjAN5hjF0FYA+A81PQNoIgCIIgCFNzwhML5Nd5dmsKW0IQBJFakm7Mcs5/BMBCfHx8MttCEARBEASRzrg8vlQ3gSAIImWkVM2YIAiCIAiCiJ1Xl+whESiCILIWMmYJgiAIgiDSBK+G4drQ4UpBSwiCIFIPGbMEQRAEQRBpQqfbG7TscIszBS0hCIJIPWTMEgRBEARBpAmdLg1jttWRgpYQBEGkHjJmCYIgCIIg0gQtw7W+jcKMCYLITsiYJQiCIAiCSBM+Xn0waJnbS4rGBEFkJ2TMEgRBEARBpAkv/LBTft2rNA8AGbMEQWQvZMwSBEEQBEGkIRdO6QcAcHmpNA9BENkJGbMEQRAEQRBpiI8LRix5ZgmCyFbImCUIgiAIgkhDpg3sAgBwe8iYJQgiO7GlugEEQRAEQRBEeHw+jkteWgoAqOpSgPm3zAQAMEaeWYIgshcyZgmCIAiCIExOp9uLn3bWAwBOGtUDjDEAgN1ioZxZgiCyFgozJgiCIAiCMDlK76tFNGQBwG5l5JklCCJrIWOWIAiCIAjC5DgVebFWxejNbrPAQ8YsQRBZChmzBEEQBEEQJselNGZVnlkKMyYIInshY5YgCIIgCMLkOD1e+bXF4jdmc6wWCjMmCCJrIWOWIAiCIAjC5DjcfoN1X0On/JpyZgmCyGbImCUIgiAIgjA5mw61yK+/3Vwjv7aTZ5YgiCyGjFmCIAgi7dh+uA0/7ahPdTMIImnc+t5a+bVdoQBlt1rg8lDOLEEQ2QnVmSUIgiDSjhOeWAAA2P3onBS3hCASD+dqYzVHYcxuPNSCjYdaUNvqRGVxbrKbRhAEkVLIM0sQBEGkLVSShMgGlGV5ACDXHjx823a4NVnNIQiCMA1kzBIEQRBphdJLtVGRR0gQmYrD7VW9v/TI/kHreH0UakwQRPZBYcYEQRBEWnGo2SG/bupwp7AlBJEcOhXGbKjQejJmCYLIRsgzSxAEQaQVixXCT50BHiuCyERaOj0R1yFjliCIbISMWYIgCCKtqG7219gMDL8kiEzk/ZX7AQD//tXkkOtsOEgh9wRBZB9kzBIEQRBpRV2bS37d6SJjlsh8XvhhJwBgRM+SkOs8MW8r5q47lKwmEQRBmAIyZgmCIIi0orbNia5FOQCANmfk8EuCyBRK8+1hP99wsDlJLSEIgjAHUQtAMcYixbEwAIc450NjaxJBEARBhOZgUycGdi1Cu7MZB5sckTcgiAwh324N+7nbS3mzBEFkF7F4ZndwzkvC/BUDaA+1MWPs34yxw4yx9Ypl9zPGDjDGVot/p8byZQiCIIjMZ/OhVozsVYLK4lzUtztT3RyCSApTB1aAMRZ2HZeH6i4TBJFdxGLMnhPnOv8FMFtj+ZOc8/Hi39wY2kUQBEFkOJxzdLq9KMmzoTjPhnYKMyaygNJ8O4b30M6XfePqI+XX/128G5f/exkJoxEEkTVEbcxyzncCAGOskDFmEV8PZYydwRizK9cJsf0PABpibC9BEASRxbi8gucp125FYa4NrQ4yZonMx8c5Qjllh3UvVr1fsLUWK/c2JqFVBEEQqSceAagfAOQxxnoD+BrAZRC8rrFyPWNsrRiGXB7HfgiCIIgMxeEWjNk8uxXFuTYSgCKyAs4BSwhr1mYNHspxSp0lCCJLiMeYZZzzDgBnA3iWc34egFEx7us5AIMAjAdwCMDjIQ/K2DWMseWMseW1tbUxHo4gCIJIR5xi+GSuzYKiPDJmiezAxzlCZcvmaBizB5o6NdYkCILIPOIyZhlj0wBcAuBzcVl4mb0QcM5rOOdezrkPwIsApoRZ9wXO+WTO+eTKyspYDkcQBEGkKU5R4CbXZkFRrg1tFGZMZAGcAxZLKM9s8PLb3lub6CYRBEGYgniM2T8AuBPAh5zzDYyxgQDmx7IjxlhPxdtfAFgfal2CIAgie3GLObM5ome2lTyzRBYQLmfWZmGYPrgLHj9vXHIbRRAEYQJiqTN7J4AvOecLACyQlouiTzfq2P5NADMBdGWM7QdwH4CZjLHxADiA3QCujbZdBEEQRObj9QnJgBbGUJxrg8vjg9PjRa4tpsAggkgLwuXMMsbw+q+nwuXx4eZ31yS5ZQRBEKklamMWwE4Av2eMjQOwBsAXAL7mnOuSzuOcX6Sx+OUY2kEQBEFkGV5R2cZqYSjKFR5h7U4yZonMxsc5QkQZy9gV4cbHDKU0LIIgsoOojVnO+dsA3gYAxtgECDVjP2CMWQF8A8Fru8zQVhIEQRAE/J5Zq4WhKM8OAGhzeFBRmJPKZhFEQvD6OGpbnaIAVHhrlik8t5zkjAmCyBLiyZkF53wV5/wRzvksAKcB2ADg14a0jCAIgiACkI1ZxtBFNGC3HW5NZZMIIiHsa+jAoLvmYuoj38LHEdEzCwDPXzoROVaLfJ8QBEFkOrGEGQMARE/sHABVyv1wzq+Jv1kEkVk8/PlGvLhwF3Y/OifVTSGItEbpmR3WoxgAcLjVmcomEURCuOHNVar3LJQClILZo3tiYv/d8HjJmCUIIjuI2ZgF8CkAB4B1AHziMuo9CUKDFxfuSnUTCCIjUBqzeXYhT1aqPUsQmUSLw616H0oAKhC71YI2D6l8EwSRHcRjzPbhnI81rCUEQRAEEQGlMZtrEzJlpNqzieTlH3dh3f4mPHXhhIQfiyAAwBcQKqwnzBgQSvWQZ5YgiGwhnpzZLxhjJxnWEoIgCIKIgKRmbGHJNWYf/GwjPlp9MOHHIQiJDpc64kCnYxZWiwUeypklCCJLiMczuwTAh4wxCwA3AAaAc85LDGkZQRAEQQQgeWZtVgab1QKrhcHpoTBjIvMIzAXXkzMLCCV6PN7ET/AQBEGYgXiM2ScATAOwjpMGPEHowufjsOiNFSMIIojP1hwC4M8fzLVZ4HTTwJ3IfPTmzNqs5JklCCJ7iCfMeB+A9WTIEoR+vHS7EGlAm9O84jFvL98HAPCJ91KuzZKUMONsY1tNK3m8U4jW0ErvPKjdwuDx0T1BEER2EI8xuxPA94yxOxljN0l/RjWMIDIRqv1HmJ3th1sx+r6v8K5oNJoVKZ8w12Ylo8tgmjpcOPHJH3Dn++tS3ZSs5bGvtgAArpw+QF6m1zNrJQEogiCyiHiM2V0AvgWQA6BY8UcQRAh85JklTM6W6jYAwPwth1Ny/B21bfjj26uxt74j7Hodovc41554z2y2TUJJEwWLd9SnuCXZSZvTg2e/3wFA8MZKQmd6BaBsVgvcZMwSBBHAxoMtmPP0Quyqa091UwwlZmOWc/6A1p+RjSOITCPTB8VvLN2LhdtqU90MIg54CsuFc85x/OML8OGqAzjlHz9orjOhXxkAYMbQSgDJyZl1KOrYZtI9vK2mFY/M3RTyO1FaRGrwKgzRG44bgpJ8O4AoBaAozJggiAB+3F6LDQdb8N4Kc0deRUvUxixj7H4j1iGIbCSDxsGa3PXhOlz28rJUN4MwiJ93N+DHbXVJO16nwmjsXpKnuU7P0jwM7laEolxBv3BrTRu+3FCd0HYpjVl3BqnE/vXLLfjXDzuxfHeDarkUokqSGKnhHUWIf2mBHaN6CUUi9NeZtagMYoIgCEDoGwCg3ZlZqTmxqBn/mjHWEuZzBuBCAPfH1CKCyGB8mW7NEhkDA8N5z/8EANj96JykHLO5061sgCYOt08Ou1RS0+IIaQDHS2eAMZtnt8rvtx9uwwlPLMAXv5+BET3TqzKd5L0LFPxyiQZ7Jnmh0wXOOR6eu0m1rEthLoBo1IwZ3OSZJQgiAGkS2Mwij7EQS5jxi1DnyAb+FYnrEAQRAIXtmZt/LdgR5KUikscjczfLr/fWd2jWyly7vxkleXb5/eXT+gPw53kmAocijLmmxaH67OuNglf4w1UHEnb8RGG3irP0AefOTcZsylDmf993+kgAQLcSwZhtd+kbgNosDA63Dyc9ucD4BhI43OpAq8MdecUsxefjeOqbrahvc0ZemUgqUmnIDp19SboQtWeW8mIJInZe/nEXLjmyH/qUF6S6KYQGj3whGFPJ8kQSaj5ZcxAAMHNYJb7fUot2pxelBf4517nrDqGuzakaSB4xoAL/+2lPQsN/lWHG17+xCl/+4Rj5fa5N8NIebOqEw+1VeW3NTo5ozAYOzF2iQdXi8OCjVQdw1oTeSW9btqK81mpbBWPgdzMHwcKA08f20rUPm/i7bq1pM76BBKY8/C0qi3Ox7K7jdecxZxOLdtThqW+2YfvhNvzz4ompbg6hQBIhbcuwMON41IwJgoiS577fgb8EhJAR5iBT8gMXba/D13HkkGqdhn0N4ZWFjWLmMEHU6fgR3QEEe6I2HGwGoPZeSTlAiTRmPQoP5ebqVtz23hrZ6CjMEYzXz9Yewg1vrkpYGxKBNEvfGcIzCwB/eHt1MpuU9Vz9ynL5tU38fYrz7Lj15OHoW6FvErQ9w0IIzUhtqxMD7pwbUXU9G/l+iyAC6aL636ZDGud0ZFgfQcYsQSSZ+jZXqptAaPDiwp2pboIhXPLSUlzz6or4d6RwOJyYpHDFvQ0dqCjMQZmo3nrnB+vw2Ff+0GOtnEG7VViWyLqa3oD8w3eW78fSXUI4ulth6M7bWJOwNiQCaWDjCpgICHxPJI+fdzfKr2MtOfWfRbuMag4RgVSVMDMzL/8oXH82K4PPx3HzO2swfzOdJzMgPa4CU0vSHTJmCSLJZIgDMONYtss/iKQZZTWOBJe+kdhZ246Gdv9kz4KttXhm/g75vbYxmwTPrIahfKipE4B6hntIt6KEtSERSN8q8HpX1ig9dUyPJLaIUDJnbM+YtqNU5+Th9GSWUWAEM4Z0BQDMXVeNs59bjPdX7sdjX21JcasIwB9mnGnRG1HnzDLG/g8IXYiQc35jXC0iiAxnGQkMmZI2pz9vsKHdhR6liVHGTSSJVMvmnCc0P0wyRk8Y0R3HiDVkA9EyZm2iZ9adSM+sxgxUTYuQz6gUnupdnp+wNiQCSWAryJhVvJdygonksu3hU+SJmmi5//SRuP/TjQCE35gxBqveuj5EVNDEQTALFeXcVu9rAgA0dlBEmhmQHmWZZszG0lMuB7ACQB6AiQC2iX/jAeQY1jKCyBC0DAylyAdhDpRS9ekqW1/fHv+AIdTYrKkjseqdkkd25rBKlOTpn2eVBvyeBJYi0VL13VwtVKjrdHuRZ7dgcv9yOJPkwTYKyYgN9sz633totK7i1SV78N8khPHGasgCwAkju8uvr/zfcgy6ay6W7qw3ollEABRppY90EsbLZKTUkvp2F878548ZU70hFjXj/wEAY+y3AI7mnHvE988DWGhs8wgi/Vl3oDloGQ0QzYdUyxFI38mGQ82dhu0r0I+zen8TZg3rZtj+A5GUW7sW5Yb0AGsZrEkJM1bcr5P6l8Pr4/KER7vTg8IcG/JzrGh1pNckiJSTuTtAxEaZM/v/7J13nNzE2cd/s+36+dy7sTEuGONON8V0MC2UBAIkJJRA6OSFmBJIIIADCaEmQEILvYPBhWJssA3uvddzL1d8vn7b5v1DGu1IK2mlXWmb5/v5GO72dqVZaTTz9EevPdLBzJ8+WwkAuGBET3QocdZ+TylFh5IAhvVql9JxijjF4Yf1UjGeOZtqcMyhHVM6riCeqNBmLSGU2eyAFz2X7TiAL5fvxpi+HTI3IIdIJWe2PQC+Q3yp/JpAIODQ2+qEgJh9sEJCQO7mQe2rd6+v3879zinKejDPbKdSYwWBKZWsgjAQq/jqapgxd+z7zh2MIr9XMXi0BCMoCnhRHPDGVQXOdpgy++2avapq3uxalhX4XL2uuYwbYZNTVuxBbVMQP21KzYtaURz/DBX4RIkUN8iXKvhOohfSXugX8y8b0BpfXv+xElNX7M7QaJwjldk1EcASQsjrhJA3ACwG8JgzwxII8gc9xVUIiNnH2j0Nys8twdwzNtz45iJcx7X1SLVNzJfL1RtcdaN7ijIQ86wGZKH7gfGHx72nt9yf+ZVrjlJeY4KTm/nCTIn+8taxGH1IBxQFvEpRrOZgBMUBL4r8XjSHcs0zG1O+F27dj74TJmPFjgPKvSgKeF0N384l5m2uwe/ejD1fbuScrdktha4nW8WY4fUQpQgPgzfWCZxD6LJqQpGoblpGoci9zwr0tsmJ09bGv5hjJK3MUkpfA3AMgE8BfALgOBaCLBAIYjTreGvcDIkUJEcoElUEvpYcCzOmlGKaprfsF8t2JZX7a+RpaEwyhDYapZa8F0wAYkWerh3bDxeO6IEAlzvICjH17xyrGsyUWb0iTU7BrNkspLnQ71HmSHMoguKAD0UBX84ZQfgc30lLdwEAzn9+Nu79ZAUAoDjgdbXlUS5xw5uL8NWqWOul1bvqHT8HNa6taZtHLhyq+j2VHFyBMW6uO7mIkSFmf3MwZyOe8gm9vVivsGKukfTqRqSkptMBDKeUfg4gQAg52rGRCVyFUoopK3ZjpU4+px51zUF8vnSny6PKT/TyL4WAmH2EIxTDe1XIP+eWUrK9Vj8EeHNVo2PnSCYflFKKQ++bgoe/XJ3wvUxhZMopIQS92hephMWIfF98XBgb24j1vAGpMG3lHkxfIykvzDPLxlboj4UUN7eFUayEGeeWZ5bPjdUzuhUFfMLwJqNVBncfaHX8HHwbqlTRVmPPB4E1G9AqA+L5UNOmkXe6lku1KNbuacCgB6YJOTLD6Nle8qHSeSqmun8BOA7AFfLvDQBeSHlEgrQwZ2MNfv/2Ypz33GxL77/rg2W4/b2l2FLd5PLI8g89ITvXwhHTzfPfbVBC7tJFOEpR4PcoP+cSJz05Q/f1N3/aavtY2uJLh3cvx8CupdiVRHEpdhlfm1OZ8L3smvOKqpcQ1fOjKJVcyKQSZuywh+TGtxbh2jeksNJIVK1Edy4tQFVjGyilaApKntnigBfNoUhO5dC1haJKWLee0a044MWO/S2uh5jnAtqc0+YUDBdNbWEc9ei3+M8Pm1MdliFaAdXpYlUHK9qtQaQMqdF6Zt++7lj07Vis/H77e0vTPCIBj94+mWu1HvRIRZk9hlJ6M4BWAKCU7odozZMzTJy2RvnZivDFrNCpbOAHK3phSE9MEw3EjWgLR/D3r9fj4n/9mNbzRqJUyevJpTxB7fN7aKcSbHrsXABAqY0WN0acOKAThnQvR2WNfUMWu45WnEJKmDHvddXkwzLB0e+JbV1exTNre3iWYZEUTEHoWl6IYDiK/c0h1DS2oX2xH4V+LyhNPd8xnbSFI2hX5Aegv7YXB7zYWdeCMX/9Nt1Dyzq0cziV9l21TUFUNbTh0Sn29mE7+DTKrHDMOoPWON0SjLiar59raNc/v5fERX3kWuRTPqE3VXfWteDb1Xvj/5BDpKLMhgghXsjFWgkhnQFYmqGEkFcJIfsIISu51zoQQr4hhGyQ/y8qI7vIyp0xr1ethd6UbGN0OpTvYEDvmi3fYS28+2CkuU2uEpvmvNVwNBrzzOaQtZ1/fgd3K8OU20+E10NACFBaYF+Z1QrVPg9BcYEvKestm/tW5GglzJioPbNAzCDE+qEGOC8Z02vdFCgjmjBjdv4JHy/HvoY2UEiKH5BbVu62cBQVsjKrfd48RFTANSOVyuF6emt1o7PVkbURFmLvdgbtdXxz7lZc/vLcDI0m+2B5sWz6lRT44hRc4c3OHEYRTIu37U/zSJwllZ3qWUjFn7oSQh4FMBvWqxm/DuBszWsTAEynlA4AMF3+XeAS4wZ1Vn5+48fKhO/3pqH9Rb6iJ0RcMqpnBkaSGzRlyPvPe2ZzSfBr5QSFl68eo/Tz04boJovPQ1Ds96Kpzb6SFtYUdTKDGeu9Op5Z9j2CkQh8HqJ6TzoKQGlDoI/vL/Xr/Fq2Zo/q015RZptzpHgYpRTNclshADjQon7u/F4PfB6hzDK00ytRGkRrKIJ/frNeN0Rbb65uq3U3hUf0Q3UGvXs3v7I2AyPJTlhRuRevGo0vbx2LTqUFcSHvwRyKXsk3eGN1z4oi5eeyQn8mhuMYqVQzfhvAPZAU2N0ALqKUfmjxsz8A0D79FwJg1ZDfAHBRsmMTGBOKRBEMR9ESimC43Jh9eYIiUMFwFA2tIQDxyf2CxGjzLwM+jzVXVYahlOLzpTstee6dRK8QTTrIxZzZLdVN+J9sjLr/3MPRh8tN8niIbkiRXbwej+SZDdkPp2P9Wa2FGUsCjkdPUZXPy+d4Ku9xqQAUj7Y4VZ8Oxaq/D+1ZrhgRcsUzu2a31IqqRvYIVjWola6Az5MXhUHcoH/nEuxraDOdc6f943s8M30DntRJKdFTLBs5Y9GvjzvEmYFyiMhOZ8glQ2cmYF7Y0gIfhvaUZExtyHtbJDfWyHyEn74nc06t8qLUU5IySapm104AmimlzwOoJoT0S+FYXSmlrLHhHgBdUxybQEMwHMWA+6di4ANT0RKMoF1xAOMGdcbeBOFSt7yzGJuqJKtxm9gRbcMUgKP7dsC1Y/vJVU+zfzFftaset7+3FI9YqETrJJmw2krtY4CCHPPMjvv7TLwkF5HpwVlZASlM1AlvjM9LFK9jq83WCmElzNi6Z5YXfHwar+uXy3fHGTs8LhWAYmyvbcanS3bK45G2TJ+msm15oR/FAUkYyIVnG4iFFf/iqN4ApIr1PA2t4ZzK/3Ub/lp0LClAOEqxZne9Ye7szjqpYFqVjmdWzyjEKmFPue1E/EXTVscJhGfWGXJlb8gULMyYT1HQVgIXntnMwZaB84f3wB/OGKi8zvb4XCWV1jwPAfgjgHvll/wA3nJiUFTyg+uuGISQGwghCwkhC6uqqpw43UHD3vpW7uc2VBT50bdTCbbWNJkWn/iaSwzPpVzCbIEJ9M//ciT+dN4QlAR8SYVsppt9DdJ82bG/Oa3nzYTQFZK9gmwDzpV2C0N7lis/+71qhdHRMGN5o7M7b5WcWSueWRofksx+ZsL/nvr4dihueGb59fCkJ2dgybY66Vxe/S9SXuSPhRkHw6CUpj2iwS6sCAtrnaEXjcBXOD7YhXg+Kun0IV0AAOc9NxtX/Xee7vvPGCLZ42v0lFmdS8meLSeFyo9vOg6f3XyCdM6D/P45xcH+HCSChRkzwzAgGUR5hDKbOZh89ezlI9CxtADD5AjNHBF5DEnFM/szABcAaAIASukuAGUpHG8vIaQ7AMj/36f3Jkrpy5TSMZTSMZ07d9Z7i8CAAy0h5ec99a0Y1qsd+nUqQXMwEhdixsN7SnJFyLdKSzCCk56Ygbmba1w7h7Z4THHAi5YcaM3Dwt6S2Xj4uWaXTMgK7B4V+HPHM7to637VvdGG30phxql/D6+HoCjJEFo71YyjmueE/9nsfmjzap2A98Lxl9Br8EXKC31K7mlLKIL//bQVox75xtE+v07DrldpgXGuFF8USq91z8ECpRQNsgd23n2noYQrrLZ0e53pZ/UKO+m3a3NemR19SAd0l/vNuplTfjBhtKau2nUAXy7flebRZB9s7WQpO0B8mHEwz+TIXIJSCkJiBeL+deUoALE0n1wlFWU2yHtQCSElKY5lEoBfyz//GsDnKR5PoKGuWa1gnHVEN3QpkzY6vVAoBr+55psyu35vA7bVNuPRyWsSvzlJmODCQhSLA15MWbEHFzxvrcdvpmiWhbc1exqwwmb15T9+tDzp8/LCQrqUSuaVKsyhnNlL/v0j1u+NKUsBTSiXhxBHvDE+D1GEd7v9kZV2O5YKQMVXM/boFHfqIQvnDDf6zP7li1W6rxvlkPq8HpX3+of1UtQQS8/IRkJMmTVo3/TaNUepjBf7m7Pb0+wWz3y7Af3unQJAMlp0LS+Me9Y+WLgdKzW1J9h83lnXEmcE0u/1KD1bxUlUIDdDG90gSA2jvWH8s7NxyztL0jya7IOFGRdynlkRZpw9RKl6P2Zr2R8/XoGmFNqNZZpUlNkPCCEvAagghFwP4FsA/7HyQULIuwB+AjCIELKDEHItgIkAziCEbABwuvy7wEHqWtTCSK/2RUoj9f1NMUU3GI6q+oDxHp98W4SseH5SJdY/U/qd5dZle3uepmDMM3u+TcXbzDiSCD7Esz4FD68dWKGiXMuZ5YkrjOQhjnhjfF6P4nW0W5wrljObGEWZ5ULSOhRL69O2GinUvWNJAKce3kX1OaZfOmlne3f+dt3XtR4GABh7WCcAQHt5rHUtQSWsLpv7KbKxGbVvKvB5VN7YRLUV8pWnp69Xfv7dyf0BxD9r93y0HOc9F1sj65qD+G5tLLjs6lfUoci8MsuqIrNni0VBOAXb4/jx5CKhSBRPf7se9326IqPjEEYBc1pDOp5ZEWacNUQpBb+N8QbaXG7Flko1478D+AjAxwAGAniQUvqcxc9eQSntTin1U0p7UUpfoZTWUEpPo5QOoJSeTikVtc4d5jGN95EQgg4lUojZGz9VKq8PfGAqruTygHgrdL615lGs1i6GYDGFgnlmO5QGXDuXk2i98EaFTvRIpQoqLyvUpUmZZUpXgCkhWS6wvDBjY9xrzEjC8JDkqhlrHwWvhyhrQMimEGLLM6vTZ3ZQNylzhRXTCYajcVb+dDzDyrl05vVb1x0DAKgoltbS2sagUiAqZPEGTFq2K86z5zZsjhsJMAGfB13LY17w5gy1zMoUuw+0YNKyXarnoUQ26mg9s1renrdN9fvCrfvxLVd7gjeWnfPMLACSMlvgQgVp9jzNWJfbNUYG/2kanv52A97RXNt0k4uGznSiVwCKyT5/PHswABFmnEmiVF2QkS9mqC1smEukOvIVAGYB+EH+WZDF7DoQK55y6eheAGLehG+4jRYA5m2pVTxkvBU638KMmQCcTs9s59IC187lJFqvkl4hEyOMcgutwAuPqeTe2kEJBfd64POQrM8fefKr+HYfJQVqj46HOONFIIiFidk1ZikF4yxMB1Y4hLfid5QjR1gxpWBEpzVPGqIrrFDg8yLg9aA5FIHfk9gzW9ccxFPfrEckSnHbu0tUnr10wO6N1jjAKPB58fTlI3DCYVJP3Xxb+xNx3OPf4bZ31WGjTNgzumYMvedz3pZYXQa9qdocDLtSUZTkrnyqQvt8U0oxadkupW1gush2Q2emaWiVjF5F3Fw+Z2g3ALGWZsIzmzkoqKqGhV60US6SSjXj6wDMB3AxgEsBzCWE/NapgQmchVKKskIfrj72EMy6ZxwmXnwkAKCiWO0l5IVfVvAin8OMmYCWDmWWKXhapSNb0W7adu69NqzIDryHrbE1Pd4gVqjI6yHwekhOVu3WemZbQhHM25J6gAtF7H6GbCr5djyz22qb0bW8QKUolBdJ3s665hB21bWgLRyNO5Y3jZ7ZRFBQ7KtvU5Qes3k0cepaPDt9A75etSddw1PB5rzPS3D3WYPi/s48s/edeziA/IvKMYNFAmhhgl/nMvsGSX6v1ZurzcFI3DPsBOWF0jN03KEdHT92Jpm/pRa3vbsEf9cxHLhJNqwz2czO/S3oVFqgqmZ8w0mHYsmfzsAhHYUym2moJmc2X3qJp2KzuxvASErpNZTSXwMYDalVjyAL2VrTjIbWMAZ3L0PvDsWKsOX1EAzv1Q6HdSkFEKuoCACb5eIl7blN+NEpa/KqqiUT0Nys9MiUQrZo8It8NqNV8O30nEwtzDh23nTNtViRLgK/15O11vfWUAR3vb8UFcV+DOhSilV/OQvnDesOID73saE1jC3VTahP0XNBKZIKM3519hYl19qKo76uOYhOmqgFNo+emb4BD3y2EkAsf5ah9Jl18J4xZaXQb7xFfnnrWLx7/bGq10IRio8X71DaJJkp/2yOpXp/koUp2j7ZgKOFGTGVe38QeWZfm71F93W2bw7vXYEpt52Iu7g+jYngr7F2rm6vbUZLMKLyZjnJ4G5lKDMo9JWrVNZI8kljmtvcJTJ8m7U5PBhoDIZRrplrhBC0LwkooccizDhzRKPqnNmD3jMLoAZAA/d7g/yaIItYtesA+k6YjFfkzXlk7/Zx7+nXqUQRVHiL2bSVksdAKyRvqc7eCp12Yd/bzSpubPFgpdD5XBIrHuFfvzofZz/9g2vjM0Kr0LFcGCs4FWbcauOcqcCMGswzm+mQVSNmrqvCJ0t2oq45hFF92qOkwIenfj4CM//vFENBuEanNYgZVNPim4LGChrZuC4Pf7la+Zm3BLeGInEKKQBMX7vP9LqznNK7zoxXIJwqdsU4Vw6L69+51PA9Q3u2w3H99b1dRPEWG5+DhZTyVebTaSiMeWY9ugJNezkH2IqXOd8wytXnezkP6VGOgV3NuxHyyyC/Jmrn6uJt+zF15R5s3OdOK6dsXtOS4ax//oA1uyXxM93COLuOj198ZJwxCxBhyOFIfF0DBjOQTVoqWhhlCm01Y+GZBTYCmEcI+TMh5CEAcwGsJ4TcRQi5y5nhCVJl+hqpguGbc7cCAAZ2jRfOigt8ijLHW99Zfzrt4mzWkzbXYN+3ujHoWu5NhFLDinFWwm2+X1+FtXsaEr7PabT5fpnwzNrta5osfPskn4cogn62wQvH7WRlI+DzoG8n485oLN80WSjlc2atXxd+CvA//+WLVTjpyRmq542FdZrNcyYIdSsvjPublxBHqxmzJS9Z/Zh9XTMvzf9+ktbkOZtiNuA9XF0DLUu316HvhMl4b74zBXDCXDSCViEY0r1cCYtlfzuYPLPa28Y8Tdp1LeDTX+f6dizGmEPaY8H9pyuv8V56dvw3fns0vB5iu/WZXXwOG3syzbq9DXj9x0oA1qI+nKCmsQ3fr69S9oouZQU4rn9HPHnpMNX7DiajDyAVSuPXuXCEGqYZsYJyX8s1Wj5dsgNr99S7P0ibvPzDJsvPZGso4poRyg2iVJ0zS9L1ALlMKsrsJgCfAYoZ/3MAWwCUyf8EGeJfMzdi0jJ9y5detbLSAp9SqZZXrpgnTivY72toQzgSxe3vLXF9E3YbPg9sW228t8gJJM8sp8xyrRdenbMla69hvGc2XTmzsZ9b05Rbw+cPMi9GWziC2RuqTT/X0BpSPTN7DrTiyIe+wupd7mzQ/DxqJ+eTJqItRW8fBR9qal1Q4zdJ/ufFW+sASD2eAcmQcMLE7wyPM7JPBYDYd9cWgAKk4mpO5rIxwT/ZIzKBd+LUtfjVq/NN38t60gJSnrMeXyzbhYtemAMAmPCJM7UWVWHG8v09smc7vHjVaEy5/UTlfex6H0w5sy1cP+VhvdopLexYVVZGwKsfDREMR9G3U4kqbP6JabHcTjY/SgJe9OlQjKXb65waui657pndbrI3v7dge1ra5Yz+67f49avzlegJZtjoWVGkep/dugK5zIa9DTju8e+UyD9AquBuVBW30O/FyD4V6NepBMt31OHO95fh7KdnpWu4lnlsylrTdoSUUsW4d/nLc3H6U9/nTHg5pTRvFFieVFrz/IX9A/AIgH9qXhNkiCemrcNt7y5BKBLFpqqYxejMIV11318c8KI1FEUkSlWLEhPSW4IRpZciALw2Zwt2H2jF50t34fznZ+P295Zgf4ren0zBexs27HXHuhaJUpXng//5ya/W2e7hmi7icmZDdrxyqYQZx86bqiJmlYjGSxWKUEycuhZXvTIPy3fUGX7uyD9/jYEPTFV+n7WhCg1tYfxn1ma3h6wUR0pEyvlJNGZpT9Yzy88G1sJmt+yF7H/fFOVv3/3h5LjjvHbNUQBixia9sELJM+ucMMHmYLICCusZ2hyMqJRVhpG33Og7TF+zV/d1noc+X4knpq21PEbFM8uFGXdvV4iz5RBrBvtbtkYruEFTWwTDe7XD9D+cjEm3jEV7WZn1e7We2ZgIVVrgi6XrRKhpxWNmePHIba8Wbt0PAHhbbvPkNBTOR1St2HFASUVym0SpTYu37Xf1/HXNsed1v5wWwJTZQk16x8Hkma2U00V+4qJLwpGoUs1dj34dpbS2C56f4/r4ksHKPvLnSasw4P6pONASUgxRuZIHTKHem/OFVKoZv0MIKSeElABYCWA1IeRu54YmSAY+NPTTJTuVMukA8PTlI3Q/UyJXUGwKhpXQHSCmzDZrClOs2lWPVbti3sTPl+7Ciz9scmL4aYcXzj9evMOVc4SjVNWfMhVFT48HP1+Jk56Y4cixFm/bj74TJmPFjgOp5cymsFry+kO6woz5Il1er6QYMQGq2qAl0WUv/qj8fO3rCwBA8eCkGtprBH8PKiwqs3Y9alr9jSIWZmzWakYL38uOzfmfNtVggxySxeeKMrrohBBrc/b1rMoehz1P7Fh2ddkn5JBDo8gYxp8nrTI9rxbtq3o5/m/8tBX/mml9HWb3ki8Apbc2+VnRloOoAqnUJsen5Eyz1BDtusYrt41tYRz72HQAQDAcUT4zXcdAoyizhMAvhyr7PARH9e3g8DeRWLKtDmv3NDj6jJz//Gzc+NYix45nRk2TuSLutvq4tz52/tW7pagbRZnVFHTMpwKZiWDzmF82zMKMAaCES2vLRvh1zqg14Btyisj5XDu1VhvG/kwSpdRxGTQbSCXMeAiltB7ARQCmAugH4GonBiVIniZO+PcQgsa2MDqVBvDZzScYlv0v8OsLK22cMluisT5u1RRw4QXX/U3BtIT9OAH/nXu1L3blHFFNzqwnladOh//9tNWxEOmZa6Uc62/W7I3LzctINeM0FYDaKlfG9Hk88HukasaxXEH9ubygMuYNmC5fN7ZJGIWLpgqv3HcsDZi8E3jrWsnLk2quI6WA38OqUNp4rrkpwO7pFf+ZG+sZG47GCX7adQaw1sjd6yGOhhkrObM2xeQSgzVWux4aCUlGxWO0YetHPPSVYfsYK3y4cLsyf31eoihlemtTqfydvli+O+nz5RL7GlqxdneDqufrH88ejGP6dcDR/dTKpjbkvaYpCEqpygDMFxFjnn7m5PYSgia5Gm9poU83hN5JcrWtTKIidt+vi49+cJId+2P761pZmWWpF9qK541ZrKg5DZtOvIExFDUuAAVIkYD7NYbMbArR5T2svEee8cePlis/83KX3nszyeJt+/HHj5bjk8U70ByMzckozZ88WZ5UVk4/IcQPSZmdRCkNwX0DmSABvHDo9UgW/OG9KjCid4XhZ4xaL7SpPLNqIW2XRpB68ftNiEYp9jcFMfKRb/D3r9Pb+y1ZmKJS5Pe6Zi2MRKmqkmU2W8VYyFR9SyiuEqutnNmUlNnYz+mwdraGIrjz/WUA+GrGUSU/zo43g10jPes8pRQ/bqxOaePmjzugi3lpgh4VkpeTGWyenb4BfSdMtn1+SqniPbLjmeUVuHCUxuW9BSNRPDt9g+q1ZDdZvTDj/U1BvCSvS3aJJumZLTboId0YVK8tRs+HnrLRFo4o3myeN2XvQDLc/dFyfCuHLvs8HmVNItD3egPAMpfzOrOFE/82Aw1tYRRzEQEj+7TH+787Ls4gXKCjfNa3hBGOUnQsiRmb7jlb6uPL1ocI59FiRombTznM2S+ig1PK7IvfxyIA0pGLywqjPaEptsRaCj4/Y6Or5+fDnFnxIqawlWgiR9yKyslO5HnMvRKKRE33f75mCCObKkDzDg69uf3+wu26nzv5yZnY12BcwC/dPPT5Kry/cDvu+mAZbnxrsfI6pVSEGWt4CUAlgBIAPxBCDgGQfWXJDjJ4z01DaxiNbWGUJugvxxZlrWeWWSNbgmEUB7wYf2R3paflfM4rxWgMhpWWBpNX5IYVnynwncoCrlVpjlJ1mHGypMN6yTYhPc+RnTBDI89s3wmTE+b1qaoZpyFki48yCPgkZTYcofAmkSfKrLp6yuw787fhl/+dh6kp5Jnx14O1TjEioOnp99Q36wEYGyWmr9mryn0CgLJCH84a2k1R7O1cC15AqW0K4kRNKHwwHFVZ6A/tbFyR+bqx/XDd2H6onDhe9+8eHc/s36atxeNT12LGun2Wx8xgx7Ir/BfrCGoAVOkeANBfFsIHdFFXl9fLt9t7QH9d4sf26ZJYioQd5YIQ9bNqZEs4cUAnpfduvsOej0ILXlK9AlDVckgsX/ypTFZ42Loa5dIa2Lp6AleXwi2c2kImTo2t4XbytJNl6so9OOGwjvj5mN6q14/qG99q0A301kwWStulrEBVjG/e5tq0jCkbiHlmY69JYcbGz05AJwQ5m1IYeM+s3TzYYx6bblpjI53wezVftyEazW6HSrKkUgDqWUppT0rpuVSSsrcBGOfc0ATJwAu7Da1hNLWF4yyHWrQ5UYO7lWHcoM7YsV8qud4cksKMX7hyFB696EgAwJrd8XaLUDhmkdta04z7Pl1hy5OTCdgDP6J3e1UesJNoPbPJep9SCSu0CrtdzJDBt0FJNWeWXWu9vD5+4eWV9laHc2b5KoQMPizM7/XA5yUIR6lSxEKrYGyuasTnS3fqHl8pmqajzN7/6UoAxiGmVmAhiUDi8FujiAujCIRr31iIK/4zV6UMrfjzWejerkgJQ7WTf3tIR/Ow/TYurxAAHjxviOF7HzhvCB4w+XtdcxAfLlTnvDNlj893swr7mnaFGaO1Vtv2KxSJoqzQh3dvUPep1FOeN+yTqj7fe85g9bk4LyGLLADshTn6NXHFRkJOr/ZFuq8DwP99uAwfGHgrchltSLEefp3WPCwklk8DYCksbF1ljxh/vVkkhZs44ZnVGku+W2vfWGSH1lAEO+tacHz/eGU/GgUuHd1Lt12Xk7A19PDu5cprbH0lhKCMcxikUsk/12AzgY/oqGpoU66NHl6dXIYXXPas20HV0cNmZBilwAXPz8mKNLsBXA/ss4+IFfXTtubJFxxL0KASB0+yQJbSzAn/O+taUN0YjCugYgTzGJ17ZHd0ryhCVUMbWkNRUAolzLis0Gf4IGgFv3fmbctIf1Q7MOH8sM6lqG8NY/cB5xXGSFSt3Ok5LWubgrrKKm8M+HWCFh9OwIQdlk/XgQuVe2LaOss9Lr06k0TrnWJMWbEbA+6fis1y5W1e3nI6/+j57zZiwP1TVREM/OYV8HnglXNmvQZhxuc9Nxu3v7cUgNTK5Jh+HZTrFKsAbrwJliWIlNDSd8Jk3PruEgBQDC5/vWhows8pvWE1Vu/mBAYCvZAvQliVZ+ube6LiXcFwVOWNTUXODkVoXCgzG2oywiV7Dszuox7FOjm/QLxCHYpEEfB6VN47QP/as89eOKKn6nWjYA87/bLZuqRXyIWnwOdFayiC0/4xE/dyrYFqGtvw0aIduIfLI8t1jurbHoO6luEyjRdQDz2hvUYuGNexJHZve3eQlNnttdIaz8KMvZ5YNIzVVlupoJ1ea/fU4+9frbMV9dOsCZk3mvNOMVOOrGAtcP7zqzE4RjY0FAW86FgSQK2cq+wWQdlQf8HwHsprfF5oEReRkU35n26j9cwu2lqLmqagksKgh14I8vIsak/Iy1xWq2T37qA29qVS2bg5GMZdHyxNOVydryjdrV3M2CNVM84/bdbdagOCtMOHN74zT1I8Eimze2QFjoUheghQXuhHTVMQ9bJgxDYsj4coBUEYLPwsGI7GWX5TKQSUDphwPkYOV1q72xnle/WueuVeRKJR1XUYN6gLjtZUrTz28em6vTb5PqubqszbE/BUVjcllcuktSgec6h6nBM+WWFps9bzPhsJ2Z8ukbyc62TDBxtCuyI/ftpc45h3f19DK/4hz3E+t4XfePxeD/xyzqzijYwaK4MXjuiBw7uXo7YpiG9X70VQ9l6btRT6cpn9EPwvlu1COBLFt2v2YexhnXDVsYck/AyLuFi/rxFfrYqFNidSZo0UVr/XYyu3qSUYwW9O6IvxR3bX/bu2AJRZmLFV/vT5SuVn9j2Syd+mijJrz5hi5JnduV9tqAqF9Vu36Fn0mfJQpFEajO6TkdFID6bosyluJOQU+r1oDkawqaoJ73IGLT5SIF9oC0cte0n9OqHI1bIQ2onzzHYtl/ZItu6w+eUhBN/cdTIm3XKCq0VZ7jtX8upr94Sfv/gTnp+xMeGaAAAXvTAHf/1yNdZrWti5XbTq+/VVKC3wKS2jzhjSFf+6chROHdwFvx/XHx1KAghGoq4WXgqGowj4PKpIEt5IVsgps1nglEsbe+ul+cym7kLZCG5WX0NPJsymtjb8/fvLF6vVf5P/OH5YbE+7eFRPpX0cI9nv8+Omagx58Ct8sngnnv52va3PTl2xW1XXIBiRjMWdywpU90N4ZgU5gZ435ITDOpp+Rhs6SAhRNqjfvSmV3ucFKfbzaYO7oGdFEX42UvIYbKttjhN205HzmAqhSBQeEvNAOlFWv7YpiHOfnYW7ZW9FhKoX8JICHz648ThV5VajnJENe+0r19trm3HK32fiqW/sF+GKaBTVId3LMf++01SvWQk11ROK61skYUPbq5Fd883VTWhsCysGkQMtITS0hnHT24sxf0vqeUiXvzRX+ZnPj1Z5Zr0eJWeWCStmRoGAz6M8D9f9b6GyiZnN+2mr9iQVhjRFjpywmtvNrvM787YpzzEAvDm30tQgYTQXW0IRvPyDtf65LD2hOOA19Ny0hCJ4b74Unrriz2fikI6pK7Mzuaqm7HskY9Rhn7G7fhl913rOkBOORPH+wu3YIwuCg7qWob+syOsZC9jzUeT3qgwDIYPvZUeZZSH0SriggZBT6PfoXkc7qQe5wL2frMDyHQcsK2h6ntlaOcy4PRfVwpQdFrbIrqWHEPTrVIJhvSpSGXZCmOFE+9wzY6kV4Xbp9jr8d/YWXPLvH1Wv+5wuz69hU1UTBncrUymMHUsL8Oo1R6FLWaFSE6SpLYI1u+td6X0bjEgVegu4ysX8vV+xM+ZZzNWK0cnw8JeSslfdGMTk5bstGUX0ImVSrbjvJPw6d9GIHqq/se4Kw3q2U2S6gNeDw7qUqUJ5WTTUmt31tr7b+wti6Rp2962b3l6MC1+I9e4NhqXon0K/B+/O36YYtCmNl8++vetk/HTvqbbOl23YXoUIIReb/XNjkALrMOHrb5ccqbw2qo95kYTTD+8KAErojocQxSPBGkLz+VnsIR7dtz3mTDgVveV8qqtfmY+VO9XhIunqE5oswUgUPm/M4mqnYq8RLCdx8VbJShmN6lePY6FnZt7rK/87z/J5mYJUI3sGZqy1365Aq2T5vZ643p9W2uXoCYNMoNcKgEzAe/Krdbj+jYVxwsA3q/fi5y/9lHjwBtS3hvDjpmps5ipSNnBWfF4gZzmzkSjlih4Zbyp+r0eVg8oUqHCUxuWm8kq8nuWWUor//LAZfSdMxkY5T5Lf0NgG+dAFxrmjqvMZCJlvzd2GRVuNw6ecsJKHIhSRKEVxwKcUhbvi6N64+6xByns+WLhDuSdlhc6HWDIhIqkIBar+v1WM2p9t3NeoKKXa+fTVnSfhuStGAdAfa0soAp9HMjA+e8VIrPvr2SgJeOPCxxkNrSHL6y7bL5QwY51qxoDa88SjXS9X7TqQVRU97cK8zgU+a6GzhX4vXr56NO46Y6DyWmNbCAGvR+V593kIPCR2vdhtTlfkEhNetdOLrfeJ5rmZ8a28yF7ahF02VzWaRm0wA1JLKIJznpnlaO/btXvq8e+ZmxTPLN9TttDAcHUweWYZ87fU4uZ3Fist7szQM35kU9grL38wGY3B1tWigFfZz5XoFu5zwUgUczfX4JxnZqkUVCMopXhsyhps5qLvUp1HX6/ei7V7GpS1jBm0ozrVjA/rUoru7YzrIuQCyZjUzpf/XQvgFQBXyv/+C+C3zg1NkAxMODnhsE6onDgelRPHJwxfGtStDMUBLw6V++F5PTEvGoP3OLBwni5lkpLDP3PrNDmy2a7MhsJUtl5J38+NhueRKNUVWpjCZyZsH9GjXPW7mUctooRGSt8hGaVEOxQ9K6pZUSalX6XOlKuXlRqtost7g+duqVHycLTXbInF/BUt176+AL/8j9oo0Ngar4AC0vi9Hg9CXJ/ZR76MhRpp54ff68GmqljYHe/J++vkNar38hu2ntFkzsYaPDpF+swHcjEjfmzsuRvEFXYww+MhcV5whta7y8+rUDh1aYyFxhb6vTggVyw+f1gP1/PreNj8T6btg57wbiWn0Ug5+WjRDtz1wVIA8dEP/Od0ldlgVFmfvB6CAp8Xfp/H0OK/bMcBHP7gNPSdMFnXc6r33WJhr7qHNKzsq53H45+djaMfne5am7N0YSd09swjuqmKnTUHI3GfJ0S6b+x+sHuQLhme3VetoZA9G4kMPofeN0X1+/+dORA/3XsqfB6iyhcFpLnkVN7omt31qG4Mqnr1amHnd0PWuPD5OfjbtLVoCUUQ0HhmyzkDHF/DIF9zZhdt3Y/LXvzRNBpjtVwY1MxIo5f2kahIqRVqm4LoO2EyTnlyRuI3m8A/I0aRhoV+r7ImM6MVb5ANhqNKasn366vQHAyb9qFtaAvj5R82qzz8duaRVi5p0hS15InqeGbzAdvKLKX0N5TS3wDwAxhCKb2EUnoJgCPk1wQZhIWYWS36xAj4PEqen4eQuIqrfJgxOwerIHjF0X2Uv2lDFJtzIMzY7yWOKrNsDWIGyAiluouHXo9CLUO6lyPg8yhhiPUmIYRMIGEe0GRCALWCtl5en1noJfu43jJcLRdG4TeuHfublSb07PNsM9EWkfrZv35Mysu2QK+NlLzY1zUH8SindJYV+uFjfWZ1vvvdmkI3fi9RCVqrd8W+S4cS9XLIb5J696axLfbMMQst/z42Zjsbv1Hz+gaNssF7C4MR/ft78cie6NPBvEIxg60fFUV+ZT5WFAdw5TGH4A9nDHStz92xXI53Kp7Z/RrB47VrjsLCB05PaWxTVuxBOBLVHY+izOoIMMFIvHLkkw0ueizaGgvJ37Qv3lOidw5lzTIQcvR6QwLq+cmnRKSjWJ2b2M0D5T25LTrKLAAU+D2cZ5YVgEqPUElIvPeIx64C5vN60L1dEQ7tXKLqBU4pRb97p6ha96TCRrm/slnbIrZ38/uStqd1srD71dQWRoHPo9znfp3UnmK+qF++hhnf/+kKLKjcr1pTtPOc5VObVTMeN7gLSgJedOeKEs3ZWJ3y+L5fLxUKq6xJ7d7zy6p2reZTPupkIy3bY2846VDleoQiUWXf8xKCez9ZgREPf2MY4aC37tqZRxc+P0f1OzNWPzD+8LjOI1FKYRCAk9OkkuzQm1LKVzLZC6CP0ZsPNhrbwvjvrM0q4TYd1DUHlQJOdijweZTNgBCCCzW5AiU64XPd5SIZvMCsVV7tFlBJN+GolAtTKFtcWx0IM6ZKI/GYt0XPw2nF4NAUjKBTSQC3ny6FsbGCC3ow4Z15xZKxVGsXUD3PnpU8Qr2FeJ+8wPLfe+zfZqBJM0693nUMrZKRLMwz++rsLUpYNiBtzj45Z1bv/LM2qEO3/V4P7jv3cCVUf8a6KuX78cp4NErVCqPOPOMFYlYNkvd8sftpxQjCj0+PA81qYxUfOm6UMxvwedAailgqtPLK7C0AJG/mUz8fgUtH98LArqUI+Dy49bQBroXiHdIhJmSy623HM9t3wmT84+t12K4p2FRa6DO8lnaYtaFaURzuOH2A8jpTar5ZHV8FNByhcc9hwEsMw4zruHur9xy+9H18a6yzh3bDkT3b4ffj+uses9Cv/935/e2qV2LRDwtNwtizFV7QNLq2RvD3pykY1hXmC3yeWM4sVwAqHShhxlFJceg7YbIqisquwYdFWBT4vJi2ag+2yQoEy5l8yWJufSLYfte7vbERrUjHEP3m3K2G70/Gc9zYFpb2Bvk+a1tV8aGzyWZpRKIUv397kZLa5RaUUuw5YD8VgK1Rdc1B/HvmJkSjFOcP65HgU/F0LivAqofPxljOQBGJUvSdMFnXCDFj3T40B8MIRaLYZdKe0Klq4PyzoG3Ld0COWOQjjNizNahbGf71SyldZPeBVsWgG/B58PnSXQDii0maYeeRXMcZEimlaJJlQG2YtPQG4ZnVMp0Q8hUh5BpCyDUAJgP41plh5T4twQj+OnmNykruJk1tYTzz7QZUNbShXZEfHpsWX783ZjX2EOCcI7ur+j5qK2kCUFnWWPNy7WLUEoxg94GWuHL+2UJQrirKFAknPbPbaptBKY3rM8u45oR+Op9Vr2CsTzDzgpttQkzJbJQrjCZTaTQapSjye5WNi23SK/9yFv51pbRQmxV5YKPXkxXY55S8UoNdP2oi6FktfsTDH2ZwtzIQEvNM8grKl7eOlcYXiWLtngZFuOW9kYWaXDoPkTwDf79sWOw9fg+K5OqvDG3It9690T6zraGIqs/dK7O3wO8ltqqeGilg2rxGft6zcZdpjC0FPg/2NbRh6ENfJbwP//tJEiY7lxVgSI9y/P2y4YZ9cY871LxAnR1UDe+VAlDWBAh2v5/7bmOcBV173+3w5a1j8ZsT+gIAfvP6AkVYal8cKxDEQu++WLYr7vPBSDQuz8xnUlmabwOkp8z+VzY08FQUB/DFrWMNi3AZfX8+lD6Zfr7ZRBO3R9mNKOLntl6YMSCtE0qYcQJPuNOw4UUpxdSVkg9i3pYa5e9mgrOeosuisVgru1veXQwgtR7aeuxraEOBz2Oal8uuPf/sVxTrKzZ1zUH0v2+Ksj5ZhSmzbE3R5lTzHvZkw4x31bVgyoo9+L2DOb96fLhoB459fDqW76iz9Tm2Rt3/2Ur8bdpazN5YjbDB2kp1Y7PUnDSwMwDgqmNjPrDpmpY+W6qb8JvXFmDIg19hwP1TcfzE7/DzF/XrZ+g5XBrbwrYdSvyaGYlGsa++VblWCyslef7w7uX41XGHyOeIzflB3aQUoFW76vHWXCn/fjbndTYyGumt01aLRGqjvN6dvx1zN0vj1Lsmejmz+UDSyiyl9BYALwEYLv97mVJ6q1MDy3UUT5/NpsvJ8vyMjfjnt+vx3oLtqOCEJKt4uR6SbINtz4VJ8pYoJuTyxU7+99tjAMRvZo1tYRz3+He4Te6TmW2EIlG5t6iUX+hEAShtzkWUUl3jwskDO8flxGoF1KZgBMW8Mmvima2Rq2g2y4paSyhie2ONUmkusNEyZai0wKcICL96xTiEkJ1P77xsfm2ubkJTW1gVMs2Efemz0v/15Dw7lVoZvCfz6ctHoDTgUzyz/DkGdJXChVlF3Co5LJr3RMdff+kAFcUBHNmzHQCgU2kBigNelUCsVWYXVMYbubQe0cF/mqbaqFpCEdvewYBBzizzkociUfzq1fmYvSG24TIP8JTbT1R9hg81TdQDj60Rg7snzu9947dHJ3xPIob2lJ4j/hqy+Wal+jagvs/aUFwjz6QZTPgrL/TjTq5AkOKV49YEM2E4HKFxypHfSwxz4lk4P6CvpGhzHK3gdvuVbOCzpTFDgt2oFpVnVlZ8tBT4PIo8wATVdAmVfJhxzEsbmxxmIY3aSJwlfzpDWYfYGs72nnobPY6tUN3Yhk6lBaYGPOYFD0eoEhVjZPRdv7cRUQrFs2iVxlbJ264os5r1gH9+Uw0z1ksDcJLnvtsAwH4bQvYdt8hF+6KUGnpKTxnYJeHxzh/eA8v/fCbO47y7wUgUf5u2Fsc89i2+W7sXS7fHR3jMr6zVbfOndzt/+9oCnPvsLFtyED8v1uxpwCl/n4kLnp+D1+dsweNT16JjSQA9Kopw2ejeKA54cflRMWW8nSwjTZy6VlmH+b3SaC+iOku5lUKbS7fXxaV03PfpCqXOR0lB/FrPrwH5REo7FKX0E0rpnfK/T50aVD7A8jj21rempew4awcAANVJeK+8hCghFWxd5kOVeQvPtDtPwsc3Haf6fFHAi3ZFfpUnCQD+/rXUK4tZirKNYDjWT7TQ53XEM8tb3yJRY88sEJ8zpZ0rK3ceQIHXg67tpD6FZp5Z5i3jk/+1IbxWxk5IzKDh1+mlZxZmyr65dmMJRaIqa/iNby1SCkI99fPh6MWFkTFhQC/cNZnCMrwVfXC3cpQV+nSFLm1oYHOb2pOst4HymwVrnN61vBBFAa+qUBY7BmuTpbel6eXRao0rdpVZr4Eyy4wC6/Y04If1Vbjrg2XK35qDEQzsWhoXosQbBRINY0SfCozoXWGpKmwyfWC1fHzT8ejbsVh1vYI2c2aZR1rKmdYqs/YVwK6yAYrIaR89K6T5wZwZ/JrArwNa5SEUicZdI7/XY6n/8jadsD1tvp8VjCJ9RvWpUP0+oItxoZ50EY5Ek8qZ/NNnsR7FiYw1Wvxaz6xumDHvmU1vzixbz/m2HPwUN1PA+Kiq+fedpmo5NFQ2xu6sa0EkSjF9zT4nh41QhCZMq2Chv+FIrJ8722vqmqWiQB/IFWVZRMqe+lb806SP572frEDfCZOV35lndqQ833/J1QkB1GtYsikUsb70yX3eKttrJQXUbmE8rR5W3xrWrUdRVujD05ePsHTM8kI/OpUWKL/vrW/Dv2duwt76Nvz29YW48/1lup/Ty7HVW+fny0ZjqwZNQG1MmL+lVtkX/iz3nGVr4ZG92mH1w2djqGzEBoDiBPuE0V5kVsfAjIcmrTKVrY/o0U7V2QSQ5qebPa0zRdLKrNyKZwMh5AAhpJ4Q0kAISW+CaBbj90q5d/+dvQU3v73YtfPsa2hF3wmTsYwLGUmmMhzvmWUTvZzLQeDDjHtWFGH0IR2gxe8lqGnSV6T5ao/ZRFMwrHiYC/xeW570msY2TF6+O+51Prw0LCuzRsKgdlHZUt2kWBGD4Shqm4KYX1mLAp8XHUoCpp7Z6sY27GtoxbPfbVSN0Q6USpWXWVQjHz7HWzcTeS60wtEyTR7Qwsr9qmJl/OVh6/3tp8VyClkPNyv5mmysm6saVflRLM+pojigVBbk9xZ2L5gHmoUdMgFU7zvzoaIsr6tLmeyZ1VFmmcW6Tcdooq0gDsSHvdv1kBn1gPxu7T5srmrE6z9Wxv2tORRBkU54Ei9UmkUwUEoxa0O15dwvuykRehT4vGhXHFAZg5hhzarQ9q+ZG+VjeeK8NlpPjBWOlludsXt2+VG9AcTuKa/v8EoN354BkAQxrRHD7/VYEtD0ImLGHNLewujVGBnjtGM4Y0hXFPg8StpJJrjtvSU48YkZKRkmrzsxPgXEDF6ZaQ5G4DfwzLaF1QaWdAmVfDVjwv3MMDP4tAalMU+8+Mi4Nm2vXnOU8vMV/5mLJ7+Sepvbyes3I2qydzKYwTUUpao1+seN1dgq5/K+NU9SbnljqFk/WtaiidHQGobf60Gv9sWonDg+riCVE57ZHbKXs7qxzbYxJRnsPh8je1eofjeqrfDRjcfbMv51Ko3tofssOmJufCtepjYKeQbs9bFNdPuMvjcAw1QahtEY9eZMHwsys5nRrkNJQK4Boh4TFWHGcTwB4AJKaTtKaTmltIxSWp7wUwcR7IH+Wqeoh1Ms3y6V8l7LFXN47OKhRm83xOshSnVMZrnlPbNWhOjqxiCqG/UXYSeKp7hBU1tYCU0q8Hkwd3NNgk/EuPmdxbj5ncXYp1Ew//hxrOJtOBJFlFJD75P25fHPzo5ZlVuka8kad3cpK8A787apQrl5BbOqoQ0/e0Hd0N5KsSYeVnmZBRrznlney7bTILxIqWbMrc376ltxqSbPhYIqVXML/V5VcT22sP/iqN4Y1kuyerJclJnrqpTN5H8/VRoail6YsRGn/uN7TPh4hRIKd9MpUnGbDiUBRVioa473tk68WMp/ZYJPWzgKSqkqrPPsI7rh/84cqAoT71ERKwpS5NeEGctjZrlfeorxfZ+uiHttxjq1p8OsSqQeZp6fs57+AR8t2hH3+oHmoG4xDX4NMNvQnehTmwwFXBggwHs6rI3ntTmVAAC/z6MTZmxdOFv0wOmYM+FUPH7xkfjs5hMUDy2reHrK32cCUCsyvLJ43nOzVccLRaJxypHfS1QC2vgjuwOwFraaTBij0TxqCUVUikvH0gIce2hH0/nhNlNWSEpKsq1aKieOV4U+WkHtmQ2jQM8zm8FqxmxPj0QpPloY/8ybPSLNIWkdLNdZE/iUpvlbYh4ivrpvKoSj8VEJWpiwHo5EVWvPL/87T5nr7FnjDYxG+eF6tIWjpgo6P8ZkdNmmtjB+89oC5fcZa531cPOwNAO7xRS1CpfRVtSjolD/DwbwBSG3WehTy3hv/jaVsd7MiGBHmU0UyZNMl4hEx9aOvTjgRcSCsVIvWozB1hbt3iV5ZhMeOudIRcPYSyldk/htBy/J5FnZRU+pGNqjnc47zfGQWHVMti47VR0OSN+mbZfmYETJB95Z14It1U340WKZeFbwRNvmhDcshKMUYYM+s4B+AZCHJq0CEOvLeqpcKZcd97+zYpUi+cVxb31b3HxYtr0OT329ztL3kY4njYkNlxfShvZsh/HDJKE50YLOK9n/mhlfPTUUoQjK/Uz9Xo9KsGefJIQo162DHNr28eIdeGiSFA744OerMHlFvGcckKrGAsD7C6XwsjOGdMWVx0gFG9qXBLBfVmJZzg/f0oU9t0zwoVQaL++1f/aKkbjl1AGqcbPwuyhFfJixvJkWByQv9PS1+yyFv74wQ33tjPrGGqEVBJ+4JFaoymhO1jYH0UGngApvzDDzzDJPzsCuxiGnb117jOHfksXvk/JI2dxjhhy74XTRKI0T7u0UgOpYWoCeFUUo9HsxgvNmlGoqzKvCjE3uazgahV9zr3xedZ9ZQoBDO5fohjhqQ/KSsTUY5Vi1BCOq6IRu5YVxUQmZwm79g74di3HBcPvVWQGdMGNdz2wsjYXdJyOPt9Mw7+YNby5S9itegDbNmQ3G2pGYMfawTkruOutBnypsPzKDhRmz+80/c2wtYI8XPy9ZWohVzHpkp+KZ3VTViCMe+srweG5ht4WNNoXMKIrNbltI3pu5bMcBy5+b8MkK3PZeLPJEW3mYx46BNdH9S2Soq5w43vBvRmPkT+n1EKmjgoV9yyw65+lfjAAQXwyNipzZOBYSQt4nhFwhhxxfTAi52LGR5QFGIX6ANKF+2lRjqwiBHkzxYTww/vC4UCAreD1ECYFgGx97CFh4XCqka9O2S0NrGKWyFZlVrTXr5crDNnezPM5IlEqhUgbf32jPenb6BqySq/BpjQob5F5ugHox21wde/18WSj748cr8Ox3G/Hg57F8MDNYCAobr1YZumx0LwD6GxmvwH4r507tOdCqawGORClmb5QKLUkVeuOP4yGAX36G+AVZL0fkn9+sx1tcOwazFkPti/2KZ3bXgRacOKAT3r3+WOXvernBwUhUFZalJ6yeOaQrLj+qN+46cyCK/F6VV5wJAgGfB1EqFW54bc6WuGMYwYSbMpstt7Tz7iw5XBswFkYaW8O65ymw6Jll3/s3OtW6GUf2tG9wS0TA68Girftx8pMzsbe+VRFcrVi4eaJU7b30EPtGBD20If+8wGq2PobC8WHGAU2YMZ8LqeXK/87D4m2x3DazSBEj+LHyz2JLKKL6vWt5AaKUYsO+RmQaux6U1lA0aQM0f32MlNlyLlc/Fmac1Olsw4a3kbsvqn6aVpRZA2WOKS/BcFQR1p2qEyL1+04UZsyKbUrjHMJFyyyUczo9imc2DK+HoH2x3/YYzUJI+THabXN0mU51XidSL/R4c+5WZX3eq1N/4+NFOwy9fdoUp/t1IokuHNHDldD56X84Gc//cmTc67VNsbFqr/umKn05SUtrKILNVfxzYX7/rNxe1nboy1vHonLieEWxNFJQ+XNKxUg9KT9DLBReW2RU5MzGUw6gGcCZAM6X/53nxKDyBbNFeOa6Klzxn7l446dKx843qk8Frjvx0KQ+6/XwBaBi4QlLHzwDj198pNlH4+A3cmYltVKqPRNUN7aho+xRe+nq0QCsb8TMW7hzfwtemb0Fny/dGfeeUCSKCDX2zBotKk99sx63v7cUQEyZZS1MeC/O+wtiuT1MULlgeA/8Wi4bz7DaiiAie5GZl9GoEM5/Z23GMY99a1glkAm4xz4+XemxBqittszr6Pd6VGHGQSVCIKbk8gp9Wyii6iPYd8JkPDN9Ax7gCrhox80XMCsv9KO+NQRKKfbWt6JbeaHqPrD526oJE/5HAg93od+LiZcMQ8+KIng9HmUMO+tacP7zUugo79346+Q1iiFk5U5zi3SF/P372izeo12D/L7Em1hrSF+A5PNGzbxeTFgy8+SYeSKThd23bbXN+Nu0tcrrdj2zrJ0Wf1wnNn8W1cAwqmbco53aGBmMxN8Pn5coBaBYkTkz+beGS/+IROOV40Twb2chpB8u3I7apqBKEGtfElByv816QqYDu6HObeGIpYJlevTrVIIh3WNCo146QKfSAlQ3SPdB8RimOcyYh79vZtVeEz3PX995EkoLfGhoC3MVxFMTxCmlknJsEtXEYIYZZpzryBWoeuobqcgT+/pNbREU+72qNjt659ZDLyWDwV9fu/4JvfxYrXGLUoq1e1IvSfMkty5qe56u2V2PP3y4TJUmZTZO7ff89PfHK0qb0/TvXKo7//jHjF/nK6ub8IuX5iq/m/WNvu3dJTj1H9/HirM5YId567pjUDlxvFIcis1ho5QX/lr6PFJEGr8HNbaF4wr+mTnCzuP2moriAK44uo9SaEu05tFAKf2Nzr/fOjm4XMdMYNi+Xwrx4BuXp0oqoQNeT6zVAz/RK4oDtgU5Ptf2k5uOx3GHdkxbiyI7bK1pQls4is5l0kPOlFOr7QVYbsj2/c145MvVuP29pXFe2hvfWoSVO+uVcvZarCwqTJF57TdSsQ1+E2YV9gBgx35JeLx0dK+khbKo7OF56ufDcWTPdnEVbZkyO3XlHuytb1N5L3kZwEhQuHBEfBif3+tRuShYYSgPIYqCwhtIdh1oVVUe1UNriOU/H/B5QKkk1Ne3hOPCcJggyufcXffGAsyQW/ZYgVXE/WzJTnyzKlZoRBuqxpQMbZ6kFlbyv8Qk1E0PrSBotCZ9c+dJys9GLYC6lcfC8kw9s0GWC20tx8wp+DHzxbTMCoPwnDhAsmSfPKiz6nWn1q5e7YtVxU6Mqhkf2lkdnh2ORuOUI7/Xg2CEYltNM056YgamrdoDDyGqFlc8/NWORGlCb5cWlbAuX44XZmyUxy6NrWdFEQ7tVKL0X3S656hd7IYZp+qZve/cw5Xf9Tyz7Yr8aAlFJAOnPLR0hfvpPW78em2mezJl1ijMtkdFEc4Y0hWNbSHFA2b12kejVFd5/MsXqzHwgakIR4w7ATBYPjmruszLH+zQCyr3Y87GarQEIyguMFdm+bHfxhUhNF/P9AslJovWO/ju/O04++lZ+HGTlDKwZne9qgWXVfjuBtqQV6Y8sZxzLUZGwWuO74vbTxuAkX3aJ230e/jCI5RK0Qxt/3G9aCEvd935a3bK32eqro/ZHjBzvbSvs7nLohT+ftlwi6NPDNvv9K7hgeaQSjGNeWal11pDEQx96Cs8PlUyRFRWN2H5jjr8+/v49C3GmVwEFiA5baob2zBnY7VpFE8uY3vlJoTcI///OULIs9p/zg8xdzGzKNopFW7E/zRe3XV7k1eM1a15Upvo5VzxB4+HoKLYn1LSvFuwSocsx5htgnpVZfVgAgsvtPFFMABg5U7JmmqszKqv9RlDusa9h3klC/1eHN+/o2IhXbM7ZqnlheThvSuSFsqknrjAmL4d8MWtY+OKB7TXKH7VjUEMeXAaPliwXeV7Nyo8dfGonnGvBXwEHbi8O9ZfjXiAx352JC4/qjfGHNIB5x7ZLe6zRmiNCu/JrRmAmLeyJRRBSyiiEn6k8cjCEfcdFm+rU35e9uCZCc/v9RKs29uAO95fqjI4aEP1wtGoaREHBstLtNsiRqs0GimRA7qq+8HqrV18dUWz55kZg7TXlceNzZRXIPj5r/XSf7hwO457fDoOaIp/MWMWK36WTAsbO/CXmBfYtYKXXphxgc+DtlAEJz05Q8mTJ4TgrjMG4saT+2Pm/52Cu88apLyfvwJRk0gRI/j3S8oYVXLuBnUtxU/3norZfxwHQoiyXmVembW+51BKU/LMAuprpKfMsme3oTWstIVJl2dWT8mw2me2WTFOGV+b0gIfdte1Kq2g9jcHLSl15z47C795fUHc6+/I1YRrm4IJr1FZgQ+dSguwRu6byr+fDzm+8r/zsGBrLYoDPrQEI/h82a64YwHq9JIyLpLoTZM8f23O7K3vLklocGXw0UovXjUKQLwxYMXOOgCSHBGNUpzzzCxc8fJc2IVfC7Xe80Th0UaewLGHdVL10U6GXx3XFycOUBsR/3jOYNXvfTtJ+w9zPgBQ1aUwzZkN6/9t475GxajBPJ9s3h7Ro1w3DcDK/q+FzQ/tGKet3I3hD3+tSgPxez3weYnixWXy3iuzt+Db1XuVvrescrge2hZBi7dKx39vwXaporntb5D9JCPxsqJPCwEs0vmXEoSQSkLICkLIUkLIwlSPl0nMvA/N8oL53oLtqjwWOzz4+arEb7KIxxMTolKVM8s0OZ58s/hs4ro3pOnFQmoL/R74vSShZzYUieLteVuVSrh8RVxWgdgqTKg/4bCO+Pim4/GfX41Bd02YIV9Fsn1JAPvlxY3PS2OC+OhD2qNdkT9poaw5GDYtdsP3gwUkK2FzMIJ7NKFJRmX/h/eqiHvN7/Xg3CO7KUWY2AZFAPTuUIyJlwxDwOfB07+Iz5kxYr8mJOrFq0bHzidbc/fL+TbaKp3MC2Yki7XTKY6kxejZLw74MOmWE5TfW0KRhEJ/l7ICxYhgt0WMVhAkhOCT3x+veu29G46V/xZ7TVtwCFCHGZp5ZtnzYHad3PDM8jm9bP4X+DxxAsTdHy3H7gOt2F2vDoPV5vtpc42cgJ9TfJgx/7NWqAzp5A0WB7xx65SHSN6LCecMRt9OJar2Idf/L7aVmvW9NoKfRw2tYVVLiOICH7q3K1IUpi7lkrCZ6TBjbcEaM0IRiihNrWgjn1etr8xKr1Ul0Qc+VfSet5W7YqkNpq15EnhmAaC00KfyOrWGognbqG3Y24C1exowUyfiha13e+pbEyqzhBB0LS9AleyJ83oIVj98FoD4ir2bq5pQHPCiujEISvWrwfKG0FLOMN/NpBYJf+/DUYovlu3Cm3O34qa3EovETDm7/KjeGNWnPQD1/rmzrgVLt8fu1V65V26qeelaL2GiVj1G3k3HUkbkxfG20wZg2YNnxoUVdykrxPI/n6mKPuHXaLM5bBT2/v362NyL9SWXfvcQouqBC0jRO1b2fy3MGKm95qy2CDPEANL85buL8EXLjJwiWrTrD1vuA16PHGacf+psMit3f0LI0QDeppS+of3n0LjGUUpHUErHOHS8jMBb079etQfrOc8pH+5x5/tLHTlfKtNT6jObmmeWed3KNNXsCv3elHr+OcnF/5qj9F5kixezjBJCpHzKBMrFZ0t24v5PV+JLuccsv/lVVturEMg8dV6PB6Pl/o8sd5fBb+YdSwKolTdovleptoJgskLZzroWVYsZLVrBgoUaAurwKq3xok+HYjxx6TD45P7LPD65mvEVciN69lntPAz4YtdIDz4EV5U/M3G8yuPNBI9quSeyto2E3V6uehgpC8UBL4ZxCn1TWwQvfb857n3PcE3n/33VKGVMdqrqAvqen8HdYl7YcYM641g5nIt/p1eneB0/p6atMu7ReEA26PBtO7S4UeCEX2/3yQJfWaHfUMi59xN1ARMm8GyWBQb2KSe9Z7wRwGiOxCmzkfgw4+KAL64NGisYl+j4UvRF8spsSyiC3VzxmKuPVefns5Yn20x6IKYDO2HGzIubimeWLxCklzPLjm01jcVJ9HrPf7Uq1jLQimfWqAAUoF/B1qhNH+OMf/5g+De23jW2hS09f+2K/IoB0+shSu/4rToVe3klqalNLZdQSvEfrlsAX6jOrDUPv2d+sjhWO2OqQS/bd+dvw/PfbQAgKe4VxZIRqkAeGz93T5j4nRKFFaXAK7OsFw7k4deV84f3iFPwErXxM1pHnTJMssP7PATtiv26qRDlhX5Vtw5+jzGrjWCkzPJ7Gkv5YWHGXg/w4e+Ow8MXHqG859nLrRvUeYxyZlloPG8o8nkI/B4Pqurb0HfCZEzlOjZoU6KM0Mow7Do1B8OgVLTmYfQC8DSAfYSQ7wkhjxFCziOEdEjwuYMO/mG84c1FOPOfPyhV03iLoN38pZEPf41np2+IyylIBa8nVj0tWWX2JDlMRGu5KsqSVg2AFC46SRNexIdD1jQF8fa8bdqPqdhVp67qx3+3Z6ZvsDUeXrFgDNPxXjLaFwdQ1xxCWFNdV9v2o8BmOCqjuS2SsEdg1/KYtXLh1lh4DB+K29gWxhfcdX7koqH4+RipKvYQjceLCRdM2GObqt48NNs32SYUikQtNTb/XvYIGIUZ6/HA+MMN/8ZjJIBpQ/U+W7pTVcyKwX93n8ejePTshhnrKaX8sfmf+VBEvTWJV6T1vCmUUjw7fQNWyMWsKhxs7WUFXoFgYVUlBV6VkMMX0VjCzVcgJgyxSJlZstX+lnGHOTbGNu78RnOECY0fLdqBO95bgu21LXFhxmaKBWOQztrS0BrCl8t2K4ruNcf3tTRurWK8sDKWTnF4d/Xz7Pd6UFbgy0iY8WpOoTcLM24OhvHo5NWKMMkMaKl4ZnmhXk/xYVEV2vD2dJCoXQpLh9FDyYE3UfT5PeNM2XBoN6czGqXYIBv8WQ4qK0iYCF6ZZffBSMlauHW/YnjXeo837GvEW3Ol/f/t645RKalm+0JJgQ9P/dxajuWkZbtw7ycr8Pev1yv9y0f3aY+K4oAyb4yM/3/6bCX+Ozs5ZZY9D78/pT8C3viIFf6cZzz1fdzzY1Tx2qlOFdoioX6DbiAnDeyMGf93Cio0FanNKnIbtebh5/RdHywDAFTLkRPtigLo26lEkVuAWBSfXdhc1KYXsnvAt1v0egh8XoLVsgHjH3IRMwCKkSYR2rn6Dzn/98he7UTOLINS+n+U0uMBdANwL4BaAL8BsJIQstr0wxZPAeBrQsgiQsgNDhwvY+g9jGzxZD1KAWBQ13ihw4jqxjbsbw7hqW/W46fNNaq//T4FoctLwOXMJncMJmAN7CJ9H6akdCwJoLEtnJV5s4B+OKRZNUZtaJKeRVPbesRoo2O5kEabV0+Nl5SFE7+/cDv+JIeZ33baANx6qnTvD5HzGs2syGYEdbxAWn64Zxy+v/sU1Wsj+1Tg5y9JLQaYQHir7AEHgBP6xwwvr11zFP595Sjld5ZjXaD0d5WeEb311mwRZrmOox7+xtTKzDyzzPCgvf9mQotVK7SRgUobqrevPr49AqBWdPxeXpm1d1/1xssfmw+j4t+q97lE3rytNc146pv1ijBoFpboBn7uvjUFIwh4PfB7ParwuMPun6r6DPPgAvGh0z6vB5UTx6ecD8bzwe+OU37WXp9bTz0MZQU+LNtxAHd9sBT/9+EyfCZXAtfOJ7OQR0bA58G3d52s/E4pxT0fLUdDWxh76ltROXE8/nzBESZHiKG99yyf/MaT++u+v12xP+1KG6UU5z47S/ndzDN7z0fL8Z9ZW/DanEoAsfU3Nc+seZgxO3YmlPxEBnOzyKmWUASFfo/p888L2aPk6Bm74dT//n4TzvjnD5i9oVq1RllZc9sV+ZX+uWycV3ERA3/QPMOs2qt2L9/LrcelBT7VPpqoAvjFo3pZGutt3L64fm+jKieenc9s7vbRFGW0CjPYdCkrgN9L4mQcPppqw75GVSoBYNzizKnIFbbHKT3uTSrv9+tUIqevSfP2lncW43WTVndGNWr455TtxRurGtGuyK/UISn0ezGqTwWuODr5FpUxz6z+OPh2kH45ek0vTN9qMUOtDDdA7vnuIUSpi5JvpPKViiC152kn/9sFYJ4DYxpLKR0F4BwANxNCTuL/SAi5gRCykBCysKrKenXRbIFN5tqm2EJvx9ti1NP0qztOMhQsrMBXM7bbtoFx5pCueO6Kkbh5XH+8fPVofHWHdOs6lEgCs14J+kxS5PfiurH9dP/G93LV0qzZ+JuD8d7MX2la41w4Ir7wERDLyWnReK6ZJV2rNDJl9v5PY8Ul8n454QAA8o1JREFUbjv1MBzVtwOeu2IkHrlwKABpU0zG+BaKRBPe/wKfF4d0LFF5aPk1Whti3KEkoArB61hagHOOjJWOZ3/rWiYJ6My7ou+ZNVFm5T81JMjV0n6/LmXqvBgzZd5r8dkw2uC15zaKWOC/Z8BHlDBAu55Zvf6ovCWdL+pEuEDjZASUmev2qX5Pdy87rWG+wC8JBWaFQfi8Sr4Ih1uM6F2B/p2lMNxSzZrxhzMHYUxfSRHgQxWB+Hmj53XV47AuscrIHy7cgc1V1nKutGi9L2y9OmNIF933lxb48MmSnUnXg0gGbR9M/t62BCMqrzxLEWGGMxb6qxeOaxW+oq3eGsIMUZlQZg/rXIorj+lj+Hcz419LMJLQI8TXKOgsG8ju+mApduy3Hmq+bHsdAODr1XtUSqEVLxJf94B9ll/7rtFU+Wah8Js0zwM/Z9oXB+Kq4DvN8h11WLe3QTHEsTXzWZMIL+Yd9JD42hBmKKH0fq/U2kujWGnnwD6NMcIojNduZKER7OjsGrDnychA0KOiSCl+9+Xy3XH3kkfbmmfxtv34bu1elYxECME9Hy3D50t2om+nEtX+9cnvT8DjFw+z+5UUmIyjvYZ6U1vyzOrPtUVbre1RWqM32z9C4ajImWUQQl4mhMwB8D6A4wD8COAySukYSulvUh0QpXSn/P99AD4FcLTm7y/L5xrTuXNnvUNkDXphD8xCxAuxWkXGDKPwyVQXFH5yJ+tRIYTg/OE94PN6cOYR3RRBuaRAOp42PyXd8DmdVQ1taAlF0EmjyPzzF5IHdcM+48rQrZr7JQlK6nvNl5G/95zBhsoByy/WbiSTbxuLZy4fEbeosWvJw95z/vAeijBGdIoXmLGtphmfL92JcIRa6kUKqItBaa+JanwG3/3fV47C704+VPmdCehsE9X1zJqsWHpn0Tu19pp21Xi5zJRZy55ZeaBGHrQJcqXGJs11K/J78fwvR2o8Ex5lo7frmdUTQnkPC58/pioAZcOgVd8aQl1zEJ8uiSlgd57unDfTKtq8vwKfV9V8Xq+6KvOA7D7QEmdYYK16nObt647FH84YqOpLyuBzUXm0kRZmlaKNuOfj5Un3/9SuX8wjEvDq7xUsX/Lmtxcndb5kqNHkaPKRQIc/OA03vxM/Ftb39Q65p3dRwJkCUH4Tz2ydrMze5aDHPxE+rweP/sy4X7yRkRyQZBWzntEA0LtDLIKIGdxaQ1F8uNC4Nyu/llJKlT1w2Y4DqjQZK0okX6eDzVV+nef7jI8+pL1SPb9R45nlw1G7lBeoxmhl7bfrCLj7I6lwYqJoKJ4dssc0SoGRj3yjyISNbWH8bdpawwg4pqgX+KSIFa2Cx1f8B+LlUiOvInNWpMpZR3TDoZ1KMG6QZCBjz5PRNe3bsUQ3J1oP7bp38b9+xG9fX6gywlc3tuGDhTvQFIygc2ly4cRG+BTPrHocepHRPk+8oYHxv5/iU5IYlRPH42y5JU97Tb0Kn4eAEGl+2+2DnCsks3L3AVAAYA+AnQB2AKhzYjCEkBJCSBn7GcCZAKzVN89C9ATP577bgI37GtEaiuDCET3Qt2NxwsR7HqPwk17tjYv2WIFXhq3kY9mBCdR2lPZENLSG8OdJqyxXzLz6lXm44Pk5yu+7D0if66/p6Xh0Pykc1qgSZjAcxSdL1F6TllAkbqE/vHvMc2LmTWPKpzbM65COJbreXL0cSCO0HkczLnnxR9z+3lK0GvQY1YP3YpiH9eof75wju+Pec2I5qF4PQVlBrCqmXc9sk8b78osxvfHDPePi3qdVDLT3x+MhhoKLVWWWCVSHdo61d3lfrhoMQPGSaIuNDelRjvOG9VA1g/f7PIoiZrcAVKJneSCX4sBfWyueWSYgDPvz1xj912+VQlIAcMUxiUOy5t9/Ghb/6YyE77OK1qBU6PegyO9V5ia/drJCYkzw02vH9bAc5eA03doV4tbTBuh6rvcahJ1rBfpOZfHClpV7lmzxIa2xlF1TI0WDFSpJVnlOBvYs/fdXUt1I7V7JFzxisGq3rDJsQ6u1tmx68MqT3prH5AE2TreMJclgFCGy50Ar6pqDCdeRs7i+lnyRGqMaEuFIFOEoVdbiYCSqPL/baprQjYv6saLM8u9hz4Gf89DyBrw7Th+gVODVKg1MMbxl3GEo9HtVz6iVSBMrTgW97xPQMSBrjW/nDO0GD5HqevDskQ1gv351Pv49cxM+1UR1MNjzUOiXjXycYvXd2r2KZ5yh3dONclK13ReSZUTvCnz3f6coNTVYpJDR3OtRUYjdB1ostYAKGWhwfMg3j1nxwmRgczIuZ1ZnXB5CTI1LWv515Sgse0hqF/Ti1aOx6i9noaPGkUEIkXuTR0GFZ1aCUno2gKMA/F1+6Q8AFhBCviaE/CXF8XQFMJsQsgzAfACTKaXTUjxmxrhIRxmZtaEav3jpJ8XaWRTw2VJmtYnsH/zuOHx718kp5foAWs9s8qFWejBPr53vmYiHv1iN13+sxH2frkj8ZkjXnRWmAWKbd4lmoWSb60OTVqmKiTBqmuLzgLZUN8Xdly5lhUrerJlV2yjM2Ihj+qnrrLF2NnrY2WRYfhPLNbRCEWesaQlFlP6SWuxEDfA95PRk80SL8IOTYu2qTj28S1wrIUBdDOVfXO4uj5EAZfW7MKW3OOBV+n0ezd079oyxkMPnfzkSQMy7zAtOfi9RrKl2w3+181vLWE6g5i9tIk8MALzPWfIjUYqGtjA6lQZQOXE8upQlnntdygqVsHknYJ5ZNg/9Xg+KAl7l2eINByxciwmvWqXr9tMGGM5nNzEyVmoNMF3KChXvPqPQgtCfbIirtoAQu6ZGzwkb7+bqJszT1Hawwr2frMAJE78z7G2pB8s7Y2sIu5Z6wi7bk75evRc1XKGi0w6P7/NtFd7Q1aijFGtzZu2mDLhJXXN8uGokSnHs49Mxfe2+hOsBv16dcFgnfHnrWNP3s/2SpecEw1ElH3B/c0hleLCyH/HzUAlP9XpUv7MhFvq9nKdMPTeYcesKLiTbjtdUzxiiPcewnu3i2n7pnYPN3zGHtEdxwIvnrhgZVzwRAIIRacxsTTPaI2IVu+PTL/TSquI8s9z7fz6ml/KzW/O4vMiHm07pj3evP1b378UBH6LU2BDDo/VCJ8LJfQmIGbf0KtVriVJqa90b3K1MtVcZpUoUeD0IhqOgSL4uTjaTVEwNlVgJYAqAqQDmAOgP4PZUBkMp3UwpHS7/O4JS+mgqx8s0l43prVsJsykYRksogqKAF0V+D/Y1tFmyLgFSWxhA2rCXPXgmju7XQZUXlSxeg9BDJ2CLHctPSpWaxjZ8uEgKX5q5rkpVxMUKHhIbi9bqx4SwllAEv3hZKmgUiVLc9+kKbNzXaNmiVRTwKsqzkbcFiAmJVhX9Qr8XU247Ufn9LZNG7ofJhbjYrTVbIFWl4S0qbPw8aQlGDOfw+cN6WDoeoPYU6lnCEylzX3MtY4yqMrN7eHS/DjiXy93lMfIm+yx6xpknwOshuHncYaicOF71fbweggKfRxFstc8cn6MY8HoUS22iqqRaSgusK2T8ldULZ9fyEGc4AIAFW2rjQrbTCRMUmCASDEdRzFVS5xU5No+YwMgLRD4PwdlDY56mdKKd3VcdKwnVesbKG0/ujy9vHYuBcnEPI2/CGK6dlVEhlESUaAyciTyzPL95fYGtc9U2BfHu/G3YWdei8h4lgnmd2f1nrcu0hsZwJKpab09+ciYA4LGfHWn7+eLhlVm9VA1tzmwmlNlpd5yI//wqvuPhLp3wdj7qyUpl4v/99milpdjQnu1wdL8O6GigFLC6CiwdJxiOGs5Ns5YrDH4esj1cW3SHbU8VRX7lb0aeWV65/PyWE/D5zScgWXiFZeO+Bizcuh9r96jTmPT2myXb6rDnQCuilGJUn/bweT1KPjK/D5733GzV54zmMFvrCnxe+LwehKNUafui9xy3ahRA/lqdJ+/p/bnII6chhOCPZw82rA/AZBZtLZYLhsfLG3YjRKy2wLGK0XybtaE67r3hKLU05xlWO1f4fVLKjciZlSGE3EYIeY8Qsg3A9wDOA7AWwMUAjN1EByl6pbwplcJKi/xS8+5l2+vw29cXYKkmzEMPFjP/4lWjkmrebAQvPDuV0M9QPLMOhRlXaTbWSUt3GbxTHwrOM6vTE5fBxrtxXyPembcNN721yHSReeISqUDAEk3o5CmD9IukADElxs7ixYwX2sJKWljjeXYOswqJvDJrNcyYNwS0hCK6+R8AcOtp1qtsMwXUSGdNZFHkexsaVXRmQmXfjsZVIQ09s5ZzZtVFLPQoDngVQUt7PlXOrNeDjnIOjzbHOxE9baQfXMBFkhhZd/mCZFor84Z9jUq+UyZgYXC8MFcc8CnPOh9i+xe5ii8TXply89wVI7Hh0XPi2s2kC62xhgn7epUtAUlpeP03UlmJ0w/Xv/a/NShyZwdtJVtW2MnIa3X50THPlt22bKf+Y6bys1nxLi3MK8byiZ/9biMWVNbGKUkz11WB0pjQy66tnWdFD7O1GIjtLSy0OdmK86kwuFu5quc2AJwxpKtu5Wl+zhnlcvOcNLCzKjVmcLcyw9BU5iVUPLORKCJRin6d4pUjK4beWm7dZ2vpx7LBW+sF7lRaoKzLWgPv0u0HVMcApNZTw3tXJBwDAFw0wlyRYu3AtGun3ne84j9zcezj0xGOUiV/lK3LfBQGMwyw9xhVnVZyZv0eBOT33iTntPPKzamDpXVEWweDv5cnDeyMaXecqKqWnm6210rGlue/i/W69xDgNk7eYPfcrjLbweEwYyYPPP/dBmUfYm06tYTlZ4FHa6BY/fBZys9W15GA7JmNRtNfnDEdJLOa9gXwIYBjKKX9KaVXU0r/TSldRilNX4JMjtBeR+EMRylCEYoiv1exfs5YV4Xb39OP39fDaauux+OeMsuUKafCjNnG9dD5QwAktkxp88QoF5qi9YjxygpTMBULr0n4x7Vj++HnR/VG5cTxigGD9QE+slc73c8AsYUobGOxDfg8+N9vj05oLf718X1xw0mH4nxZaJu0TD+XBlArppaVWX9sgWVhpnpY9WYCMeHdyHLIXq8o9quKjujRrkh/QxrRuwLPXD7CtC0JE9K11YCthvmy95ntGXw4v/YaeTRhxo//bBievWKkynNtBb31x4g7zxig/GykzB7SsUQlcE5fo85DTLZthBOwZ5M3zEieWbliLZcXy4qjMQMPe/4O6Vic0Y2ef/b6dixWcvora4wrdfaoKMLU20/En84bovt3qwaYRPzrylFKPipTboyMPldzbVHsUscpVnaUWRZGzleJfnLauriiidvlCrtHaVI2tCkcduHXCj0dju3ZTHHMZJjxwgdOV36uKPLHtagBzI2fVigr9KGhNaxfeC2kVjAlz2xUFWWmFM+zMAUauagvo/3rs5tPwN1nDUJFsV8xivJG5A17G/DxYkkBTtbQ0K1d/J7EG1P4aCE+wkrrqeUJhqOKoWTqSinyqCkYUbX54vMgjYqExtpPeeJqb7Aw1VtPPQwvXT1a9X6GVsEa3K08o2slc2rMXB+rou/zeFT76rWyIS8o34NIlOLlHzalcZQSTB5Yv7cRD8idKE79x/e67w1FaNy1Lgp48dpvjgIAvHPdMarvaHWu+n0EoQiVPbO2v0LWk0zO7F2U0o8ppbvdGFC+cQxXFIXBJmpRwKsoGgASVmbjJ7idSrVW4BVNO8qHFZhwaddCb8QaeeE/qq8kfCQqT3/O07PiXmuWFS9t5Waz0NaISfiHXqW/V685Cj/de6rp2Fj4oN0KcycN7IzeCRSHQr8X9517uCJ4mlXC4z0sVnOEelRYCym1s3Cyzd7ocrAN+5AOxZh1z6mYM+FUZfPl6dW+yDD8nhCCC0f0NM0NZxuE9lpYVfR9ijJr/OV54ZdZXlmYrqrPrMeDdsV+3fCpRNgRmPm+2NqwUp4zOc/OtW8sVP2twGa1ZSdhRiQ+1JkPM+aNWuWcEA3EBE6n1z67vPHbo3HF0X3w6e+Px0c3HY9zhnbDaYO7KH2kjTi8e7mhZ9CpdffcI7vHhfxZFaSSjcqxE2Z8oCWE8kKf6tmpbw2phPub316sKMsDuPXh0tG9UlYuExm6mOGUFfBJdx9mHl6pKi/yq/pcMsx6z1o7hx+RKNU1YjNFmXnRQ3JBKH69/eLWsbj8qN649sTEkQV8wUZmYHlOrkPA6N+5FDePOwyEEBAiFfnj920+4stOnizPHacPiHtNrVxKc+SN3x6Nvp2Kdd9zryYXPmTQ+50PhZ25vkr5Lv+eqa+s8QWgeONFXXNQMbpeOKIn/F4P/F6ium+UxhQsN0OL7fDAeKl45DH9YjK210NUzzF7xh75cjUAyfj62JS1cce6XjPHnC6CytcC2Vxt3q4sFImq3g9Ia9u4QV1QOXE8jj9MXTjO6roVUApAmRvZc5XM7twHAT3aFeLGk/tj8m3xBRGKAl7lgbTCO/Niyoi29HaqTF4es0047pl1MMyYUqosTN3bFcJDgKe+WR9Xjp7fHHbqVDxmvWL1FJpyTa4luxqRaLzFjKHXzLoo4EV3HUstTzqE/+GyZ9ishyL/tfR6k+rBKvX20BSauu202IbuIfZCWpiQZXSdmcDI/t+zoghnHdENpwxSt+kaP0w/F9YqTGk1C/81w0rVaT50b2jPcjxxyTA8fonUPoNvM2MUNmYFvqL68f3jDWs8/Hms5MzqwVc1TTe3nzYAj/3sSPxspBTqSClFgd+LtnAUCytrVQWgWAQAWzfYfHN67bPL0J7t8PjFR2Jkn/boVFqAkgIfXrnmKCX/PRmcUmaB+LloJvTzQvlPm+Nzw6xgxzNb0xSMK9zSEoqo9oLJK3ajvjWEsgKfKvrhLyZRGlZJpAAxxZ/lzGYizJjBG67KC/1obAvHRQfxntlkhF+2lutVCteGGbeFowhHoqrnr3NZASZeMgyj+rSP+7wWfm1j94FFsWgLpTG8mhYofNGuZNdcPcWCD3FtCUnn6NOhGEV+L3pWSPIBbzi4bIy6EjwfZvy7kw5VXuejyn7z2gLlu6zeHV+4ElAXgOLbWJ3+1A9KRWR2nkKfV6XMsvXxrjMGYvofTtE9frrpWl6IgM+jtLoCpOedf66KOPluf1MQL8zYCD1+fXxf5ecrj+mj5AQ7BT8vEpXHCUcpXvm1Oq/dyNsOWI+88SsFoETOrCAJCCGYcM5gHNEjPtS0yO9VldA2s3j9tKkGf/pcKrjy3BUjXWngzXAqLI3hZJjxj5tilTE7lAQUJeyLZTFlfO2eehz+4DS8v2Cb4XGemLYOgH77pJMGxhSjBz5boVjSzZRZo9cTkawF2A63ysqltoIiDz/+RLlfjHGDuuDlq0fjDq5f4gXDe+DcI2MKjd0wJKOiTbHj6Y9R20rJm+JizZ4vrSfWbs6sGWphkeDnR/VWPBV2hHgz+MJBeoVfeHhFPdlCOJkMnSz0e/HLY/qoxnBAzk+89MWfVN4nXogGYsYop9e+bODCET1Mn307aJ8rM6H/dyf3x1d3nAQAeHzKWmyvVUcehSNR9J0wGX0nTFZCUe/5aJnqPXZy3fYeaNWNWGLVXpXfw1EEfB4M49I/zAx9VuHXOr1K8h656Jve+9MNu29H9CiPKZ3c87G3vlWl3CXzXLA1pLHNOIRZWwDK5/HgplP649Gf2WuLdeYR3ZQx8mt35cTxuPHk/rqfkTyzsflllJduF9bFgKV48AXIWoLSz0Vy25+v75Sej+s5JVXrsefDjHlDsfZ9iTz9TIEtL/SrujJUN7bh8amSt5KdpzDgVXJxgVi+rN1q+m5T6PNgUWWt6jX+GeNzizdVNRpWKeadGtedeKir3zORIhkKR9GlvNByIVar60iBT86ZpYnHkIsIZTaDaBcfM/GVr9jmRPViM5x+kNkCaScv1AimWL56zRjVQ8xfy5821SASpXjewArHo7cQHMIVBnpr7jZc8u8fAZgrs8nmFzGhgq846jR+rwedSgOqMe6sa8F5z83CXR8sxdaaJpUn0Oo6RwjBmUd0U3myJy3bhcHdypUqrHZhwo0RbG5qhSttxdJuKfa+YwKR9lpYVfTZOK1UKf/098fHvWYnvNLKOHpWFCUU2ItU4VnOtudKJ7yBalivCgBAWYFPCTN+8tJhKC+KCdFAzHiQ6TBjNygp8OG5K0YmfqMF7F4edi827GvEdZqQdN4wydamDxbuUL3HTmG8rbVNcQWECIBgOL4dht/rQaHfi8qJ41E5cbzlcyTiztMH4rxh3ZXoAC2Z9MZqmXzbWLxz/bFK4awvl0uFFFtDERzz2HTc/M5i5b3JCL8xZVYnzFgnZzYcjcLnkSrYXnmM/ZxrVrSts8UULK1n1k5vTzO+uHUsKieOx2M/k6Js1J5ZuVaHLK+UFPhQOXE8fs55Y7VzZPeBVsWo6lNFz6jX6EQRGCt2HkCPdoVoXxLQ7WEPxDyzxQGvSrlnck+2KbPhKEUT971PG9zFcI9uDUV1c5oBtfyo5+BwEg8xlwvY3u+GHB6OStWM81CXFcpsJtF6MeqaQ4YKHx9+k8h7lSp+FwQ6n2bjSJZ9cpub0X2kfNlecgVKfsPYWy9ZHbfXtqh6CPL07lCEkwd21v2bUa/BKDVWZlPJL/ruDyfj9d8enfTnrVDg86q8ly9/vwkrd9bjk8U7ceNbi1WFrezeJj1vXI+K5CqDJprbTKjSbljaMByjzdoqzGPeW9On1m4BKCv01zFOOeWZPaRjMfp2LMYTlw5Tve7zkLiqpvyY3Yz8cBs2HymAS0b3QsDnwdH9OqChVeqDe9mY3sr3Y6F3zDPrzXCYsVtYzfVOhN2IB35t0Bax4g1oRopEczCM9XuNi+PwNLVFdI1h8a15qG7rHCe4/fQBeP6Xowy9Jew+2OkB7hZH9GiHdkV+nCZXwWYj1hZMBIBHLrLnKQViypbevWX7peKZjUie2VTSbliBMqtdHnxej7Kfr9hxQIl8cwq2xoTCFOv2NKAlGFG+t5nXjRCCW089TEkPAmJKJr9GF/q9hkaqtXviQ40XVtZiRJ8KAMD5w3voGnGY7NelrABfLNulyFVMdsu2yBWtAq8ttsl3N5i8YpdKTuSNBvzPHUucrUejhRCiK0cyAxir3+D0pfZ7CYLhKDZXNQnPrMBZmPeDVaGsbQri16/N130vL9w6XfxJSyo5ekZ4PcSwTL8VVu+qR98Jk7Gwcj8K/R6UF0nX7n25oh+/qPGbsZG1srE1rGo0zTOqT3tVIQfmeaxuDCq9Y5+UlQMWGp5KPvChnUtT6m9ohQKfR5VXHOIW05rGNtW9sdrzmMGHSo+QWxgkG+abyDOrKLOaOTqa82z/Ykxvw3trFb+8uQ3qVqYK/7e6mVtRZt+9/lj8fEwvlOnceyeiGABpjZl59zicoCkasfGxcxOGHRthNDuc8v6lita4MrRHOdrCUTS0hpX5xYQXxTMrPw/+LBPWnKJ3h2Jcw+WFJQs/r6205eCFRG30Cr+nGYV43v/pSpz5zx9Me3UD0prVEoroFvTTGro+WbLTMeXeLswobdTfOhMwg91+uTCWNsdV6zm0Sswzq5czq/bM1jYF0arJd7RL7w7FOH2IviFaD94z++Gi7crrXcudka/Y9z//+dk46+kfcNPbi9ASjMDrIQnrUvzhzEF47opRyu9svmqNJFqjCBv7+r3qIkORKMXu+taEuffMY8yKazJ5J5qlnlkt7Pk/mhUHbQ7idNk58e787aq14JVfS9WBj+rbHoQQXHN8Xzz6s6GuG3I9BLqy8O1yCHmsfkNsHD9OiC8k+n9nDlSlxCXC7/VgQeV+AMB3a/cleHfuIZTZNPLhjcepfmfWuWvH9lOqqc3ZWBPXBBoApq6M5YRmMi8tWXwegkgK3qa35eJX01btwYAuZcqizjZD3vrL90e79o0Fuserbw2b5pjwLUZ4Iey+T1cAALqUF2LtI2fjs5tPwNCe5fjDmYPsfqW0EvB5VN8jxP0cjlKVYMkXyrECM36UFvjwkTzHWVEGu7nEiXKIfQZhxvdzhdScaHge4MK6PrwxFgZstUAQ2/TNLKDH9e+IJy4druvF6Scr0LefFl8dMxv58taxqsrsmUQrjBT6vZi9sRrfrt6rrBc+DwEhfGue3BDWUuFMG4K+Efz1sZLuYrZX8V6SR75co+sRZL3X9fZEHtanVK8KqV7xFLOCKm7CjHxW8+HSQbFc7O2pb9YDANYYFBCyC/PMNgeNC0AxQ/Ht7y1FczCiyvF3G14m4efyNw71Tu2nqYEyc10VWkIRJV82EcxgDxjvO1rj78WjegGIn98NrSFQKrVh4nny0mF45vIRyu/seb14lOQl3CZ32MhWz6wW9ly9/tujcNnoXrj+xEPx4lUxowAfHVJR7MfaR87GO9cfCwD48wVHJBXebpcOJQXQyyLSyqMscuXrO0/SjXS75dQB+J+NiD7egOdUfng2IZTZNHJU3w74/u5TlN957xGvaNwvK0yM5Tvq8OXy3O6E5EkxzJhfnPkqsMXy4vUt1++S73eqtVAyIlFq6r3j23vo5cN6iVQCvqzQjy9vPRFDexr3ks0GWFVXBn8vapuCSi4ygDgvXiKYgDuoW5liTXxvvnHxLTMGdyvD7acNMPT6MEVVu7nzC3WFA5W+mYegwO9Fh5KAEg1hNaeShZMlq1gP7laORQ+crtvqwU3OPqKbKmfcCuMGdc6q+c/kLTYnCrkCdEyZJYQoBTEATljLkMcuHYQcSPOwm0td6PfikYuGoovcaoJfx/nxfLtmLx79co3hcRIVgmoNxtqO8BCDz1YbpJ+4DfvKTrf+SAV+7dx9oAW3vmu9370ZrCL6su0H4tJwtAWgGOnUlXjP7I79UseDj286XinClyp6ubuNCYzoPPyzZmTkHdStDL88JlafIlZAUD3nWQXtco3Mc9mY3roV6Jn8wyIimFHajag9JymQn//igA9PXjYcncsKVGv68h0HlJ9LCnwo9HvTFqXxj8uGAwB+WF+lFODiK753VGQM6RozB43VHPBEZLshIlXyd+fOUg7pGLPWdef6dDZwlQMPaDxjGziFbNodJyIX8XmIKkfKLrwixgsibKGau7kWCytrsbOuBd+s3hv3eT20+RU8iZSQXPPgFPg8aOMECiPhsDjgxUgLrRB4WDhVT8562BpKzvPh8RDcecZAQ69Px1JJUTUL674yyeJTPLEWBbJSazP0iM3RVFICOpYWpL3i6YtXj8b3d48zfc81x/fF0J6x6rjZpgB2Ky/ETaf0V5rMq1o1cMpOgc/LeWbzt5oxI5X1l5HMunf1sYfgBrlaK//cagXu3SahxDUJPLMtRrmInPedb9+VbMG+VGG52dkWXfXCLyXv1cqdznhlgdi+8PqPlbj6lXmqvzFBXbvP6vW7dQu+mvHLP2wGAAzs6lxxTb21+/2F27GvwZohhY8wMSvexwpNATFvrtZx0KK0Ioyfd4V+Ly4a0UPVy5rdu8enrsWO/c054ZntWVGEC0foRwcN0JEnStJsULpkdC/0al+EYCSKX70qpRPy66nXQ/CvK0fhi1ulNp6sJVWqKVMMfw7XwbBCfn+7LOXrO0/Chzcep7II8cWItGvg/ubYRj64mzMtFrR8dvMJrhyX4fV44ioHHmg2D2cNR6K46/2lWL+3QVVK/qZT9EvtN7SGsaWqSfdvgJSj+CyX1zfWxAOZyLuX6X6UdimQw4z3y7lJesrs/ecerrTSsMPh3cvxwi9H4bGLY5vqXy5MvW+jHqx34MaqeI/7/PtPw3d/ONkRyzoTRJill2307UusHbu6QXpm3c5vzwQ9Korw5a0nKvlZVvsSpwtCpIqo/TtLAgyvOPBrLh96zzyGuVz4KhFjD+uUdJVxnr9ccIRiKLAK8zI1h8JYseMAnvpmfVyRM7Mieis5j4oeLJRVT1hnilNfzpDsgF6fFGyeWfXOpYshcusmpyr6AmrDAsvVYzClVdsqJdn+1snAPLMXPj9bec3pMOebx+nLKnax2jrKyDPLjEhG4e1PXz5SlSrFK+L3f7qSy5nNrvXxqztOwu9OOhQeAsz4v1MM798tnKLOcKIdl11Y2tFmWU71EILPbz4B8+87DYCUS8+qcv/n12Mw7Y4THfOGp6MNZCbJ72+XpQzsWqYk2DMu4kr5a/Ps6hIofU7ACve4RV1zEBu4qpQnPTEDwx/+Ou59lFKpVUyUYnN1Ez5ZshO/f3sx5myMtXE4bXAX3XPsbw7i+v8t1P3biQM64bj+HZUCLyUBr6nCmiinqWeS1XozBfNCjXzkG/zi5bm61XIvGtkTvTvYCzFljB/WXVXEyqhSdKp0KZOiGfTG36WsEId2dsayzopgMa/e5Uf3wcZHz1HOn4grj+2DIr8Xpx+uP1fzAaYYZqqYjlV4zyzvRa5qaMO787ehLRxBYzCMgM+T9d8lFfxeD/560ZEY0KUUVx6TvFL76+P7Ytwge/OaKW9//HgFzn9+Np6dviEuRzZqEgadSPdknietx3NzVRO2VEuCY6rtupyAVSrNppxZIOaJa2gLY5Rc8RYAPk/ByE2IcaGjhtYQygp8KOSUj7OO6IobTnJG+bOCzyNVM17GGUqcNszdfdbguNeSMSjpFQnUg4URG3lmk4kI2Fvfqhwv25bHQd3KcO+5h2Pz4+NNDZEXjugZd28z8QxqHVVeD8Hw3hXoUh6/NpUX+h11XmWzV90JcreZYB7iIVJOjTY8JV35PfPvPy2x1JAk4ShVWWeNwsZ+8dJczK+sxQXDe+B2OV9w4z61F06bb3RU3/ZYULkfd32wzPD8LFTDakhkIg8NywHLFQr8sWrGy7bX6VbBc7LlU6FLhTzYGJ0ImTSDyQIF3IZnJ5x2WK8KrHnkbKeHlVXEimRlmYSjgQ/lWr0r3sO3r74NTW3htIedZQqnCtzYga3ZP6yvUl7bVacOK+YrfA7tWa4KeeUrsevRqunfycP6jTtVpTYVsjXMmK2rja1hNHF9YYenaOQe0r1cpSwyXptTCUC9z7541ei0plVo+8yWFfhcOb/fSxQjBgCcMtC+gZP3In5561jD0FN2H7XKLGvLZ6eHanHAi+ZgBPsa2pRw7GzzzNrhjtMH4smv1im/ZyL/V3vGdGYRiTBjQdpg6492fvMFj9ykS1mhroXIabQ5wTzzK2sBAJNX7DasOKlNiH/DQkU3JnizcydqE5TIQptteYKJKPB5lNAWQF3NmH+PY+dzqfE4E1bd9oyz+ZFtHpRsgoXaZ1uYsRZemdUTVqsa2/Dhwh2K90LgPHphtbsPtKh+5z0H2iyItlAUL8zYiDOe+l63dVhzgjDK0gIf9je5H+GUCMUzm2WGkwKfBz4PQWNbCA2tIXQuK8Bfk+gtq6UzF8nC9nP+/vHKbLrrA/i8RNXD+BSDiK9UefWao3Dn6QOV35OJEOCjnob2bBcXQcVyQpmcM3HqWlV+eouJsccIVnm7timoGDiKc3g/vHncYbq9dTOJ3W4PqcC3nRvJRV/kC8Izm0Uc1qUUG/c1YqumufyO/c0ZGpHzRKMUr8zarPxOKVU2sWiUKtbASJSqimKVBLyYeMkwvPFjJTprvKJWFI4L5TBupsxefpR5qI8/hy2QemhzSX7aXBP3HieFCScVY55OpQV45vIROL6/vYrLdsnW3LZsgoXkZnv+OJ+2oZcnVd8SylhBoIMFvSrI2hYwvIdfq7C2haOKV2VPfSu6t5OMWaFIFM3BCFetVV+kaWwLx7VKySTZZiQjhKC00IfG1jAa2sK4ZFQvXHVs6m1KyrlonwMtkpLMG+czGfroIQRba2KyVaFLe9aJAzrjxAGdceWxffDlsl1KTqQdEhVe+/mY3nh0yhpV39n/+2gZZm+oxtIHz1AUWzsRU7znktUsYQUYc5lpd5yIHbUtid+YBtKqzHIOmHfldkT5RH5J7DnOO9cdAwCorGnGbVx5/JqmIAZ3K8N7N+T+BFyzp15VsbCJsx7WtYTQHIxgiLzYb6uNbTTd2hXi/OE98NFNx8cpXYQQPHnpMMNzDu9doeRwnipbX39xlHkT+GwvQW8Xt5RLI9y0sl84omecQcNpmLcxUUuQgxl/joQZ8yGd/Kxka4FZpIjAGfSUlsoatZGWL/J3wYgeqrBvPsyYz5e/472lGP6Xr7Fuj+Rha29SB2HcoC5Zs4dmmzILSN6/+tYwGtvCjqWcXHtiP+XnAy0hfLt6L46f+J3yWrq9sTzaOVnqYJqNHp1KC3DNCf1sVQT/xRhJTkkUHnzdif2w9pGzlfYuADB5+W4caAlhb30bWsNJeGa5ce6tl55NpyrrZpLB3cpxugM9t50glXaVdmHRhB1LAlmX5uAE2S2FHGR0KS/EH86QwlEmLduFNbvrcd5zs1DXHMKZQ7ri2EM7ZniEqTP+2dlYvStmkW/gioDUynm0/TpJFvQaLlc4UXXhS+Rm4Yy7zxqEO04fgKuO7YNPbjpeeb1fpxJUThyflHWU8avj3G+s7TSJwn4fcan6cK5yRA+pbZOZcHyw48+RMOOAwfhuHidVuKyXlVknKv0K9OHb0BlR3Sit/3efNQg3ndxf5UndwNVNaAtHMG9zDZZur8PkFVL/9ee+k/JijVqqXTxKiswZ3qsiqfE7TbaFGQNSK7DKmiZQ6lz9hCN6tFMqXx9oCWHJ9ljdjIczvOdolUqrRZbSyZ8vOAIv/HIUhiWYt0Tue6/HA5+txD5ZGbWjxPARLazfbEEeKkGZJJ2eWbYP5lpbSasIZTbLGNitTPn5nGdmKUUwEilz2Q6fM8LyYgFg1vpq5WfWgqhXeymErJZrSdQ+Qd9XrSe1T4di3HH6QPz1oiMdeXh7d4jlaD58Yeq5ROnGa2IB/+tFQ3H1cX3TN5gc4MaT++Ota4/RLZQlkMiVasaXjI4ZunjRgSnhzDN7gsuh6wczXcoKsfHRc3Dp6F6G72HGzK7lhSCE4Oi+kvH2iB7lqnz/6sYgfvHyXFz0whzV58sLfXHpFP1lhfisI7oBSH+EihGJ+phngp4VhVgve7hLC5wbH1MSm9rCqkJI7F7Mvfc0qfhkmtGmR7jtmU2GooAX44d1T+kY367Zi2embwBgrwAU33OXddTI9/YubqONRDBrR+Y0zDOr7ZaSL4iZmWUYWc6s9rfMVroYVJK85+PlWCgrt0yYYcrsfq7icbsie8p8d4fbMLBqgLmKWU6gW210chmvh2DsAKHcmLFWFnwTFVPLNId0LFFyhHgvLVPCWTpDNgqz+YTP68GD5w+Je/22Uw/D+CNjAjsLwb333MH46MbjMKxXhSoU/PKX5+oev5NO6gHL1S2R/5/p9JHfniCF3XYsyT7jdHmhX0n7cfJZKJN7n67aVa/a01nxp27tCi23PHOSWk1BsEz0HXWD2X8cF9e/F5C6ZdhRRv991WicMkiSDVj3iXzuw50OmCeWXdfe7ZNrhZgMbL+jbrUsyTBiZmYZxxmEEjtpKc0EZr1ymVC8X1FmpQe8ltv4WJiLFV66ejTGaPr4pkpbOIoHxh+O4/vnZqi3mQXQrcrD3/3h5IxY3AXpgT2fmzSts7KRVp0+i8wz+8HCHQByr3d0LlJe6Mdpg7vg/OE9lNfuOnMQDukYE+qKAjGP/5i+HfDu/G2Wjt2pNF6ZHX1IewDqyJphvdrhLxdkJsT1wfOHYMvj52Y0V9QIvkiXkyG3LGT5b9PW4sNFO5TXtV70dJOv9RB6tS/GvefE97ct8nttzbt2RX78/hQpFYPJZsIzmxqsoOQD4w/HjP87xTRSxWnYfpfO0OZ0kh+mqDwi4PPghMM6Ys5GqdrsaYO7YEzfDjhpYG57iaysoSysuCcLM+aUWTvf/2iHFNmFD5yOUCSK299biptO6Y9xg7rguhMPdeTY6YYXFn82sifGDe6iFBlzS6g4tHNp4jcJcp5cyKNihTb4dA2+cJXfS5RcfYG7vHLNUdhX34ovlu1SXuO9YtroJH4/1OPsI7ph2qo9KmPE4G5lWLunAfecPQiXju6FQzrG7u2kW8Y68TWSJhsVWQAoLYhddyc9s10N2v1lOuT7lV+PwclPzlR+b83x6Cuecp1CTckU/SmR5wRLAROe2dR48arReG/BdhzaqTTtUSKsorVRy8tcR8zMLIRwNTe7tSvETaf0z7gVM1WimlDEW+TiKwDQHJSqG+9vCqLI71VCsPbL3tzPbj4B11tQIlmRD6cq7nUqLUD3dkX44HfHYdwgd3rQpYvrxh6qCHtH9CjHBZxnJNNChSC3sdPuIVOMG9QZvzvpUDzMeeT4nLkbTjo0a5WMfISFnjL4ysXaSr8TLzauVP/eDccqeYBH9mynvP7u9cfi098fj+KAD0O51wXGFHMGBacKQAFSysaI3hVxr2daMeINHIBkAMkX9KJMajjngFVYf9v9TUF4PSRviweli76dSjDhnMEZSXdg0YqPONA/OhsRUmwWEuTCX/LFu6VNq7vxlP5Y8/DZAIBGuVVPVUMbOpYGFCv9lmqp6MegrmWWBM0nLx2OtY+cnfG8qGzE4yE4Qy5Hry0AIEKHBKkQ8GX/8+bzenDvuYejPZdLxs/75TsOZGJYBy3aQjS8Z1abu9irfRGeuHQY3r3+WNxz9iDl9X/+YjiOPbSjsl/ydSXalwQwsk97N4aet/DXvb/DcsfwXvEGhWww0Bf5vehcVoA5E07FCYfldvQbzxE9yvHEpcOw6IHTlSJoycDmRHVTUMgJOc5x/Tti1V/OwoUjemZ6KK4gZmcWcigX7saKIeU62jj9Ap8HRQEvygp8aGiTlNkd+1vQs6IIBT6PYgHsUBKwXIHP6zEuTy+IFeFijc9POEzK/xXKvyA1cnP+8KGUQ3ok36pLYB+tcbKUU6TKNV5bQgh+PqY3juvfUfU+FoHDivPxOZ8C+/Bhxk5XKOf7erLtJhsigpY9dCbm/PHUvMuXZ89Mx9KClGSi8kI/PEQKTXXSWy/IDPlS5EyP/P1mOcyD5w/Bewu2A8hVMTEebZgx2yxLC31oaA1jQWUtFm7dj5+P6QVCCMoLfdjfHMIFw3uI8D+HuOFEKdSYhRj/91dHqdofCQTJkKuPJx/OetcZA03eKXCbEoshrnrKLPPM6lVwFVjHTWPAiQM6o7zQh17ti7F+bwOilLpWeNAOmQ51TgdsnfvlMfb7aAd8HnQoCaC6MYiWNLaREQjskv9Pcg5SHPDhxatGA8ifMGOjAmpFAS8+WrQDl734E4DYhsryZcuFNdAxfF4PLhzRUzEOFAW8eWeRFqSPn+49FYO6luG2UwdkeihJwRvJsiHk8WBmuJxT2at9kVLxUw9+H2kvF/P660VDce3YfhglwopTwskKxnrMv/90fHbzCYphOxdy7fMBprB3TbL9UXWjZPBukNPBBIJsRGgKWcrZQ7th/V/PyRvL4VA5jO+WcYep8tY2VzWp3qctFNG/S34o8wJBvtG9XRG+uvOkTA8jJV7/zVFxUSOC9NOuyI8Nj56DSJSaRuKw/owA0Fcu4HNIxxL86bz4/rUCewzo6m4BJBbuygwS7YUnPS2EI9IF5wve2eGYfh0wb0stPv398U4OSyBwlKxSZgkhZwN4BoAXwH8ppRMzPKSMki+KLACceUQ3zLpnHHp3UDeJ7lZeiD1yD9mRfSpw4QgpBHbL4+di5c56DO0pctkEAoE7nJLjVcpzmQ9+d5wqpNjv9SBRel+n0gL88ezB6Nm+SOT6O0znsvg+vW7Qu0MRtte2iKirNKEUSCtOznjw9nXHIEKpiF4RZDWEZolVmhDiBbAewBkAdgBYAOAKSulqo8+MGTOGLly4ME0jFLjBxn0NOP2pHwAAEy8+EpcfbT+vQyAQCAQCQWqs39uAYDjqajujvfWt2LivMa+qB2czG/Y24Pv1Vbh2bD9Rf0SQ0xBCFlFKx+j+LYuU2eMA/JlSepb8+70AQCl93OgzQpnND8KRKGasq8Lph3cRi61AIBAIBAKBQCBQMFNmsymOtSeA7dzvO+TXBHmOz+vBGUO6CkVWIBAIBAKBQCAQWCablFlLEEJuIIQsJIQsrKqqyvRwBAKBQCAQCAQCgUCQAbJJmd0JoDf3ey/5NRWU0pcppWMopWM6d+6s/bNAIBAIBAKBQCAQCA4CskmZXQBgACGkHyEkAOByAJMyPCaBQCAQCAQCgUAgEGQhWVMbnVIaJoTcAuArSK15XqWUrsrwsAQCgUAgEAgEAoFAkIVkjTILAJTSKQCmZHocAoFAIBAIBAKBQCDIbrKmNU8yEEKqAGzN9DgS0AlAdaYHIchKxNwQGCHmhsAMMT8ERoi5ITBCzA2BEbkwNw6hlOoWS8ppZTYXIIQsNOqLJDi4EXNDYISYGwIzxPwQGCHmhsAIMTcERuT63MimAlACgUAgEAgEAoFAIBBYQiizAoFAIBAIBAKBQCDIOYQy6z4vZ3oAgqxFzA2BEWJuCMwQ80NghJgbAiPE3BAYkdNzQ+TMCgQCgUAgEAgEAoEg5xCeWYFAIBAIBAKBQCAQ5BxCmRUIBAKBQCAQCAQCQc4hlFmBQCAQCAQCgUAgEOQcQpkVCAQCgUAgEAgEAkHOIZRZgUAgEAgEAoFAIBDkHEKZFQgEAoFAIBAIBAJBziGUWYFAIBAIBAKBQCAQ5BxCmRUIBAKBQCAQCAQCQc4hlFmBQCAQCAQCgUAgEOQcQpkVCAQCgUAgEAgEAkHOIZRZgUAgEAgEAoFAIBDkHEKZFQgEAoFAIBAIBAJBziGUWYFAIBAIBAKBQCAQ5BxCmRUIBAKBQCAQCAQCQc4hlFmBQCAQCAQCgUAgEOQcQpkVCAQCgUAgEAgEAkHOIZRZgUAgEAgEAoFAIBDkHEKZFQgEAoFAIBAIBAJBziGUWYFAIBAIBAKBQCAQ5BxCmRUIBAKBQCAQCAQCQc4hlFmBQCAQCAQCgUAgEOQcQpkVCAQCgUAgEAgEAkHOIZRZgUAgEAgEAoFAIBDkHEKZFQgEAoFAIBAIBAJBziGUWYFAIBAIBAKBQCAQ5BxCmRUIBAKBQCAQCAQCQc7hy/QAUqFTp060b9++mR6GQCAQCAQCgUAgEAhcYNGiRdWU0s56f8tpZbZv375YuHBhpochEAgEAoFAIBAIBAIXIIRsNfqbCDMWCAQCgUAgEAgEAkHOkTZllhByNiFkHSFkIyFkgs7fryGEVBFClsr/rkvX2AQCgUAgEAgEAoFAkFukJcyYEOIF8AKAMwDsALCAEDKJUrpa89b3KaW3pGNMAoFAIBAIBAKBQCDIXdLlmT0awEZK6WZKaRDAewAuTNO5BQKBQCAQCAQCgUCQZ6SrAFRPANu533cAOEbnfZcQQk4CsB7AnZTS7TrvEeQgwXAU//upEicN7IxN+xpxzpHdlb8t216HAy0hnDRQt0hZXvPpkh1Yu6cBN53cHxXFgUwPJ2WW76jD/uYQTj4I76Uge6GU4vUfK/HzMb1RUpDTdQ/zhh/WV6G8yI8RvStUr4ciUdz94TIU+Ly4/qRDcViXUtXfG9vC+HjRDvzquENACHF8XG/N3Yrt+5tx3pE98NWqPbjplP4oKfChNRTBre8uwbLtdRjQtRR/v2w4urcrwvfrq9C+2I/v1u7D+r0NqGpoA6XAwq37cXTfDjh/eHf86fNVuGhED7SEIujerggA8NWqPehRUYQ1u+sxrFc7zN1ci8O6lOL4/h0xdeUeVDW04e3rjsEJh3Vy/DvmG6/M3oLttc2q1zyE4Mpj+6B/51KDTznL3vpW/HfWZmyvbcEpgzrj8qP7pOW8Vnhv/jacPqQrOpUWJPX5aSv34LAuJTisS5nDIxMInIFQSt0/CSGXAjibUnqd/PvVAI7hQ4oJIR0BNFJK2wghvwPwC0rpqTrHugHADQDQp0+f0Vu3Gha3EmQRL32/CY9PXav8XjlxvPJz3wmT4147WGDf/flfjsR5w3pkeDSpczDfS0H2Mn3NXlz7xkL88pg+eOxnR2Z6OAIYrxWvzt6Ch7+MZSBp//6HD5bh48U78Na1x2DsAGcVvZrGNoz+67eq19689micOKAznvpmPZ6dviE2/o7FmHn3OOV7WKXQ70FrKGr5/WItNaexLYyhD32FAp8HBb5YsGF9axg3j+uPu88anJZxvDl3K/702Url92y5b9tqmnHSkzNwdN8O+ODG45I6htjXBdkAIWQRpXSM3t/SFWa8E0Bv7vde8msKlNIaSmmb/Ot/AYzWOxCl9GVK6RhK6ZjOnYX3J1c40BLK9BCymkjUfaOSlrrmIP7x9bqMnFsgSCfNwQgAsQ7lAo1tYdO/1zUHAQCtoYjj59ZbC9lL9Zq5s7e+Le69VnjkwqE4c0hXw7+P7FOh+v1As5izZrB7dvdZg7D8z2cp//xegnRubelwDCVDMCIZTqqbkpuvAkEukC5ldgGAAYSQfoSQAIDLAUzi30AI6c79egGANWkamyANCH0p+3jw81V47ruNmLF2X6aHIhAIBDlFSyiCjfsak/pswGcsevk86tDpuz5YmtQ5Dhpk2cKNkHNbwxAyjkCQMdKizFJKwwBuAfAVJCX1A0rpKkLIw4SQC+S33UYIWUUIWQbgNgDXpGNsgvQQFSu9KZm4Pi2yZyMsLA0CgUCgC/O46elKpz/1ve3jEUJQ4PMa/v3PFxyh+n1vQ6vtcxxMUFmb1dgAQEAyqmBmnac2y4YjEDhJ2vrMUkqnUEoHUkr7U0oflV97kFI6Sf75XkrpEZTS4ZTScZTSteZHFOQSUaEwmRK1nkLlOG4YtLNuIxcc1IjZKEgWp+cOQbz3ladXRTEGd4sV2olkcG/IBZhokVm/bPyely3pO2x/z47RCLTM2ViNvhMmY58wWqVE2pRZwcFNlqzrWUsmLo+b+qbw9goEgmTItFISh8NLGSHmBkSikcrawhFsrWlydhB5BFMiPfGuWcVrmwkiWWLQzbrnSaDitTmVAIAl2+oyOo5cRyizgrQgwozNybfr09wWwawNVZkehkBgSCRKce8nK7C5Krm8R8HBBbGoFpjlwwKSIntIxxKT8wAdS2Nt2jZXNeHkJ2fio0U7LJ3/YCNrPLOa3zMZbaWHiJYS5DNCmRWkBbGQmpNv1+cPHy7D1a/Mj+v9JxBkC2v31OPd+dtw8ztLMj0UQRZj17vXu32R6d8JCG446VDjvxOCZy4fGff6wspaW+M4WKCxClCq14n0x4yRNZ7ZDBfGElhD3KXUEMqsIC2IqFNzMrnvubGIbtjXACBWZEogyCR6c9wjC3n5ZkgSOIvd6ZHo7YQAXpOcWQKgU2lB3Ott4Sxz9WUL8gU3uaTpGYbmxmdLziwju0YjEDiLUGYFaSHfwmidJjP7nrgngoMDvZnOlNlsEzrd5rZ3l+Cf36zP9DByjrmbayy9L9WtzsiR1hYWhkE9YmHGGs8syewOly1FL9lVESJYdhHWVHYTtyc1hDIrSAvpUmYrq5vwwYLtaTmXkwhlXyBIL1559zvYnr1Jy3bhmekbMj0MQ7ItKpJNj9W76y29P9F8ShT26TH4e2tIeGb1MG/Nk75nW3um7AkzzvQIBFoqq5tw2P1T8fnSnZkeSt7gy/QABAcH6SqGcMHzs1HfGsbPj+qdnhM6RHZsewLBwQNTKrLEgSLIUuxOj4TKbJLjCIowY10Uz2yWKW0HW8SHwDrMMDZ1xZ6sm7e5ivDMCtKCFe+HE1bU+tawY8dKJ5kcrxsFIlL5Omv31OPqV+ahVeTbClzEqyizubVWCLIbp8KMrzq2j+r12Rur40ITBbG9UzfMOI2Pdrb2mWVksk2RQA3lDDBi+3EGocwK0oKVdd3JtT/XFohMjNfNc6aycf7ps5WYtaEay3cccHBEAoEaj1Bmc5J03y27hsZEb2fK6h/OGIgbT+4f/3dZKfPqGBmZsVYQgwrPrClsPollLntg8hE/Z7Ns+uYcQpkVpIV0eWbtnC+byOR4s20RzbFbJ8gh+LnOBIls6wcpSJ2WYMSxtmDOhxlLE+/W0wZgwjmD4/9O2P+zbWXOTmLKbHxrnowWgMqSjUxMo+xDmbPcjpQdsyV3EcqsIC1YUmYdPZ+DB0sDuTbedCA2YYHT8I+ZxyM8s7mIlWXh2jcW4MQnZjhyPrvTI3EBKPPPsz+fPLCzvRMfpBgVgMo02eKZ/d2biwAII3FWQoSc4xRCmRWkhXSv67kmoOZajq9AkC9ki9ApcI4fN1lro+MGCcOME3yehb+PG9wFADCkezl3bDFXtRgVgCKEZFSBy5ZlxWoVbkH6yJKpkVcIZVaQFqyFGad+Hrah5dqen5GcWTePncLBc+zWCXIIXt5likG2CJ0CiewLr7WZM6vz2tvXHaP8nNAzy/094PPknGE23bDnWNvSKN2zKP42ifsm0CdWtEzgFEKZFaQFKxZlJ6rtKQ3Cc2wjyWjOrAsrqiOGidQPIRAkRCgLuUNbOILpa/el9Zx2p4feXjesVzvuN/OVjVfmPUQdOSBmajxmxqhMygFiWREkIvsMd7mLUGYFacFKkRVnPLO52Tsyx4brKiKUTpAO2DQTymzusGFvY0bOa2dN0tt7eK+hHfnVQwgi3LnFVNWDVYbVxhmnuTWPZhfPNhlE7KvZQ6wAVAyR7pIaQpkVpIVImhZSVgQi1wTUXBuvIL+pbw3lZU9LvacsKoSInMHnTb8ng8KeoKm3lnu56kR2voGXEGyualJ+r20K2vi0PVpDEZww8TvM3lDt2jncgF3ubCsAlQ3RYcKrn53oteb5/duLMXNdeqNO8gmhzArSQrqsgkpPtRyTwzPTZ1ZsbwJ9hv35a9z23pJMDyMtCF3WPSYt24UJHy937Hg+mxqLE2scpUDYjjKr815VP0kbrlntW299d7Hlz9plc1UTdta14K+TV7t2DgBoDobx4cLtju0/SgEoZFfOrFvb6/frq/Dhwu2W3tv/vinuDELgCNo5OnNdVUbGkQ/4Mj0AwcGBFVnAkcU/Rz2zmVQssy1tg12JbBvXwcaUFXsyPQTHUReAkv6fa2tFLnHbu5JBZOIlwxw5ntdjz/5OqTPryKhHvrH8Xj0vrrY4kVU8GuW9ptE9z2y6eOTL1Xh3/nb0bF+E4/t3Svl42dqax61l5devzgcAXDamtzsn0PDu/G1pOc/BhNhynMfWzkAIWUQIuZkQ0t6tAQnyk3QJjGw/yzUBNRPeIXerGefW9RccvOTaWnEw47WpFDpxZykomoMRy+/X8+Ly47bzDeqaQzbenRrpCovdV98GAGhus35NzWD1OPRb86Tv2daeKZNhxsFwFL946SfVa8leigc/X+nAiAQ8Ss4s0cYTCJLFbpjxLwD0ALCAEPIeIeQsIspxCSxgyTPrwOLvydUCUBkcr1hOBQcjbL0RumzuYFfacCrM2A56xhF1mHHyY0mHtJVrIl1MbsiucWdyXdlU1Yh5W2pVryUrX4nCRM7Dz1j+6ubYo5dV2FJmKaUbKaX3AxgI4B0ArwLYSgj5CyGkgxsDFOQHoXDiJFZn+8zm1gIsvEMxYpdCrOwCZ9BbD8Qjl3vYbpNj9/gOHEPPM0uSrGYcN5Y8mrNOfRWjAlCEJD7HV6v2YIZDrZ6y6d6EHCzeJ3RZ51H2IyHiOIbtAlCEkGEA/gHgSQAfA7gMQD2A7xJ87mxCyDpCyEZCyAST911CCKGEkDF2xybIXjZVJW6p4OSamQvrLy9gZ0L5dvOUjqQ/i4VekAZyYa0QSNg1+mWmsJ753+1EwmgVtHyYq06v63zIpuo8Fj77uzcX4TevL3B2QDKZVG5DkXyYKfnJ3vpW5WcRFecctnNmAfwTwAIAwyilt1FK51FK/wFgs8nnvABeAHAOgCEAriCEDNF5XxmA2wHMszMuQfaTrlCVWJhx9i/m/BAzOlqxngryHL3QSRr3gyAbMFN23L5VetuGXUNj347F5m+wsd4W+LzJfjTrccqAa1YAKpN9ZjOZM6vnmc0BkSjvmbWhCsc8Nh1frZKKK6bTYL+pqhF9J0zG8h116TtpGrHrmb2MUnoapfQdSmkbABBC+gEApfRik88dDWAjpXQzpTQI4D0AF+q87xEAfwPQqvM3QQ5j5aF1YnOLFYBK+VBpJReUbzvk2dcR5DHZ0A9SYA27e0Qm7u0HvzsOPSuKDP9uR34tCngTv8kh0rdmOyfBU0oRlFOYdAtAZfDZzuQeuGRbXdxrdocTDEdzrudwtrN8xwEAwNLtdQCkJ4GftlpPrZMRe9PX7AUATFq6y7FjZhN2ldmPLL6mpScAvjHWDvk1BULIKAC9KaWTbY5JkBMk3sAceWxZa54c0Gb5EebAcNOGuBSCdJBrefWCJHJgbefYpj4nupQX4rbTDjP8u50CSwGvWkRLx4xds7s+DWdxhvcWbMelL0pVe7MtZDOTBuq/TVub8jEen7oGV70igiSdJLbnJJ6rU1bsRr97p2CzhRQ9a+eWz5xdj4ljWFJmCSGDCSGXAGhHCLmY+3cNgMJUB0EI8QB4CsAfLLz3BkLIQkLIwqoq0WA4n3CkAJSDx2JMW7kHpzw5A2EHiyoA2pxZRw9t7fzpP6Ut8nTNFWQAM8VV6LS5QzbUFjhxQGq9Ue2sayJqwJwvlsW8THGeWaQ5zFhzrkzeuZMGdo57ze612LjPGSVKEEN7D8yKlE1evhsAsGqXs8alXKtWbhWrntlBAM4DUAHgfO7fKADXW/j8TgB8h+de8muMMgBDAcwkhFQCOBbAJL0iUJTSlymlYyilYzp3jn9gBdmJ9vlxSyhhTeadtIre/+kKVNY0Y7/DPf/4EWbSS+TG0saEsPxcNgX5ANX8X+As+5uCSX3OzMNm29PqwPu1CmVZoS/hccYN6mLvxAZoI3ZENIExdoX0+lZ3e/hm8laN6lOh86q9AeWr0pNJohrvqHati1Kq1JdRZCiHbkO+rxyJV2UAlNLPAXxOCDmOUvpTwg/EswDAADm/dieAywH8kjv+AQCKuZMQMhPA/1FKFyZxrqxmx/5m9GqfoEBEHmLpeXTQM+ukMhvwSTYfJ8vdA5kvAJUOwSipMwiBTZAGxDRzl8teSkZUMPdG2m+14/xNtiLkdyk3DlizI5xmk7cv27HbmmfEX752dTyZvFvZFnItkGByKbs7hKhl49d/rMQ787Zh/aPnKK85dS/zvRuQ1TDje+Qff0kIeVb7L9HnKaVhALcA+ArAGgAfUEpXEUIeJoRckPToc4x5m2sw9m8z8MniHZkeStqJ98zGv0creMzfUou+EyZj/d4GG+dhnlnbQzTEL+ct1TWHsPtAi2PH5b9vLuT42iEVRUHJKjnILcM/rK9y3IBysKNb1Vhota7gVJji09+uV352uzWP3tvjjpHidLEjnGrnZj5N1YlTU8/r5Im/rubX2e0tN5P3yomt8+Defd2BPc+KZ1bnIgflPd+1+ZOnN9ZqmPEa+f8LASzS+ZcQSukUSulASml/Sumj8msPUkon6bz3lHz0yjKlbNHW/RkeSfqxsoFrH97Jy6V8mB83Wq+oF8uZdW4l8Hulo5733Cwc97hpO2Vb8EPMM11WkCJzN9fgV6/OVwnygtRRrwtU+e9Xq/akrX2YwBztXvH0txuUn7Oxb6xd7CgaWuU9Hwwv7Ptvrm5K+Vj85dC7runNmdW25skcelMsD6aO43y6ZAe21kjzMBiOYu0ed4ufxd+C9GmWsdSv/NRmLSmzlNIv5P+/wf4BeBPAp/LPAiu44DXMFeI8sy6fx8njM8+sm/ctk4U+DnYPaDZS3dgGAKisbk77ufNBYLYDpcDv3lyEV2dvyfRQBAlwwtNqfvz4T8Q7ZlN7PuwVgBKYEeHul0ezj2V6W8vkMqobYWDzGJm+fungzveX4bxnZwMA/vzFKpz99CxHo++0xMKMpYtr5Ro7ljMrqhnHIIS8QwgpJ4SUAFgJYDUh5G53hpZ/xObQwbdFWXl+nLkqzheAYjmzbpJv+oP1AvTG5OmaawtRzdQ9tM/cLheFGIEz2H0e3DDMFPpT7P1qxzN7MFq+bcBfH682aRZAOmWtuPzmDG7q+SZP2IVSipvfXoxZGxJ3PGloCwMAFlbWAgDqW8KujYtN1z31rQnfe7DfQ7vYldKHUErrAVwEYCqAfgCudnpQ+cbyHXW495PlikXkQEsIox/5Bou21mZ2YGlE6/3TtYA78PSy00QdTDX0e91RZtVhxvm5cuXnt3IfZrnNh7DKbEX7NfM1/CqfcN8zq/da7MV3rj8Gfk9q+4G9nNmUTpX3qD2z6r+luzWPlkzeOj2jj135KpdXQ0qBySt24+pX5lv+jLbSsBvEteYxe6/DHSGUfF2Hjpdt2F2V/YQQPyRldhKlNAQhrybkV6/Ox7vzt+NAi1QKfmHlftQ0BfHs9I2676eUHnShfoAzE4ltaE4qh7oGXwfgN5x8u90pFYDKs2uRDEq4fBZfi2iU5lyBKrOQ+nwNv8o1zO6D2615dI/B/ewhJPUw41RyZlM6c/7BO649bm3UFokLR8+kIq1bYPPggRk5zKZEfHE16fdL//2jaxER2nNaWeuc3pfydZ+zq8y+BKASQAmAHwghhwBwN2M6D9DOHar5v5Z/f78J/e6dgsY298IdMo17hdoy59GyS7Z4Zt1Y21jOZ0phxnm66FrBDaOMVaye8YY3F2HA/VNdHYvT8MKE9tJmWBYWWMC2IunE48MXGXLgcHaOESdTu1m3IU1LjZPn4ZUOvZzZzCqUGQwzdvn4p/5jJi75948unyV5lNxUQrBxXwMONMf3FI7r4Sz/v741jJZQxNVxMbbWWKmJ4WxrnnzFljJLKX2WUtqTUnouldgKYJxLY8sbmDeALbaJJtU787YBAGobk2s6n41YUUyceNiIC0qAW+GH/AgzkRqVrYubyBMFciEY6Ns1ezM9BEdh6/SB5hD6TpiMV0RBqKzD7jppP8fW/BgeD0l5PzCKDhhzSPu419zwzH68aAeOfvTbDObjOndevgK5N8PWz2zqCey2Ir25qimru3KwNDMC4PSnfsCFL8yOf49J2yu3rp72tszaUI29DW0unU1zbvn/+ZpO47PzZkJIAYBLAPTVfPZhB8eUd+h0NjR/v1KRN3+E+mT6zCYDMxjkQg6qXpuQTHAwe0CznUzMinxOceAVCe16w/7CinO8v2Abrh3bL11DSwlKKeqaQ2hfEsj0UFKmJWjsFbE7Nx0JM3bYM2vEs1eMRI+KIvW548aS+he695MVCEaiCEWjKPCkWMwqw/D7vDaVmSD1kPBUSOcyOmtDFQr9XhzVt4Phue2OJ5e7HMQ8s9LvlToeUDMZ0a02bXqH3d+k77RyLXoxd2+rKXbDjD8HcCGAMIAm7p/ABKVBsvx7dQKPaz5aTrTfSXeTcTL8KAfkcZVnNrdSDy2TA7chK8lkzuxBe880UR3asMVs5o0fKzHykW+wxYHenZnmmekbDP/Gz003bo9u4RyHz2l0DP0+qc4/jWF5s8mUnOHk3hxOEGacTrRzJ52K9NWvzMdlL/4EAJixdh+enxFfjyWfjZRajnjoKwDmc9ys+rR7ymz8cRM5XhxvzePM4bIOW55ZAL0opWe7MpKDgHjvpPkkPojWHseIKQG5dfHyyQvPM23lHgzsWmbrM7FFN1+X3cQczG280kV8Zcn0RHXM3VyDlTsP4LoTD3XsmN+tk1pQbK1pQr9OJY4d1w3CkWjSs1oVCmjhII6kzPKeWScKQBm+Hv8Xo7y+ZGlsC2fc0Ovk3sw/q3qtebKtCFM6+M3rCxw5jt48/WrVHuyqy50WZkGTAoX8/bnjvSUq723YJe+CfhcPo/c6fG62euSQkdYOdpXZHwkhR1JKV7gymrzFXlGiWJhx/hBntXTJMZtL105dACoD50/DVXrqm/W47bQBrp8n32AhXrUGIUhukmN2oKTRfs8t1Y2q190Ks7v85bkA4Kgym0vGuzOf/gGbq5LzINsPM3Y2Z9aRAlApVDNOlaGyxwrInCfRyb1OXQBK/bd0i+zZlDOrh/0w4/jXfvfmImcGkwXwz9ZnS3ep/uaWZ9bmagQgfz2pTmM3zHgsgEWEkHWEkOWEkBWEkOVuDCyfsCsTsbfnkoCSCEtWdAe+ruJdSbN2OHXFbuw5kLgRtgqVMpvBnFmxXGYti7fVZXoIBw1frdqL5mCsgrwb1Y2DYWct/pRSvDBjo1IVMxfy3MwU2YTRSjbP5cSqqmr/QlIvAGUknuqHGad4KhMyteU4eVo+zFhv7udzESa7hF2Qiaat3OP4MdOF2dVIZ5ix0Txx2qia72HGdpXZcwAMAHAmgPMBnCf/X2CCopxafX8OCCTZSqyacfrOGY1S3PT2Ylz2kr1S9SpLeCY8s9m11yq41V8tl8hkm5h8DXnXovc9Q2Hqas7sE9PWOnq8qsY2PPnVOmyrlZVZR4+efhKtSW73mdV9O+UVJnvHA4Avbx2r+t0wZ9bCsZxcs2uagqhrjkV+pMuo6aSSZ1acixCS2TDjzJ1al4jti5F4Ptz41iI0tMa3vUk3F70wB6Mf+cb0Pec/p65onC0FoBKdyqmnkp0mX+Uqu615tgLoDeBU+edmu8c4mLH7gGTbYpgK1vKbUv/GibzakSjFNa/Nx7zNNSmfi8EWxZ3743NJolGKKSt263qKs6XPrCD7cHvDGfnw17jjvSXuniQXITHhwg2Dgl5VTS3Xvr4A//lhMxpaQ7j3kxWm/ca1qV35KqgwbIcNO7Cn8EdIxsAxtGc71e+GR7DSvs5BqeCEid9hxMMxBSAXjVhuKR3JEDcSCpz85AxMnOqsAStZ0qmgpYvttc3YXtuMpdvrUJMgJWfFzgOq36lJkIwbXmxAf/1yKz9X5+TpOU+GsKWIEkIeAvBHAPfKL/kBvOX0oPKJ2qYg9sl9pMIRa5MpppC5NKgswInS8XrEWvPo/72qoQ0z11XhNgcFebN179MlO/H7txfj9R8r4/7GfyyL9uSsZtn2Otzwv4UImxR2yAfc9pLsbw7F5Qkx8nnd4TEuvJHZ0IDpa/fh0Slr8J8fNuPd+dvwhs7aAQB1zUG0hdVtbLTzprEtjPOfm411exrcGq6jJJp6ttdJ255c6wVakiWVyCs3ns3Tn/oeVWnqdQk4+x0SeRsz2poHFFtrmvHi95syNgYeu8qs1WmaSQPaiU/MwIlPzFC9ZjXFzMyB4Faamp7eapR6sn6fs2u24pnN+fgdfex6VX8G4ALI7XgopbsA2CtVepBxO6c0hawK4MpcO0ikShlHvq2mvUY6MDvXgRYpBGdrTXyeGC84ZeJO52I4783vLMbXq/diV53N/ORcI4fuST5BSMwq784tsP6kh+RxzN5QHae07qprwYiHv8HJT840PcacjdVYsfMAnvxqne2RpourX5mnKNuJc2bthfw6sa7yY7LjmZ12x4l47TdHxb1up5pxOti4rxGTl+sbttzAyb053bUxTNF8r1xvt2f1NmWb8dNqOLXZu1zzzOqc1ehc22ulSD+n5bNckvfsYFeZDVJpZacAQAjJ7h4AWQBfjdTqA5KPc00rpLhlMWXXzmjDdOO8RmvntppmPPzlagBAczAS93e1ZzZzO0K2zTezK8GsmAGfyG7IFpZtr8v0ENAaipgKtou27rd0nFU765V+jZnMWwZigvpPm2vw50mrVH/badAeI779m/7r2cSsDdV4aNJKa2/mywy4sGTqHZJ/zc51HNytHOMGdYl73U6fWbOx5CpO3re+Jm2oCEFGL1g+3CsrZFuhKzMPND9WM5lrT707xnK9obmlOGsRBaDUfEAIeQlABSHkegDfAviv88PKT7ShkU4Xu8hmrHwVJxZFFsLFDjV3cw0mTl2LP09ahSYu98xJKzhbFLWjn7WxSvmZeWiNyLYNIRvQE+7M+sbNXLcPV/13XnZZ65PEyQ3nsyU7sWGve2GmHyzc7tqxrUApxeA/TcMDnxsrRP/7aavO5+Lft2hrrfKzGwWgVHnymnn6v58qsWpXLK+LF8qWaKpaGy0XRvVcs12AYeux02HGTiyr/DHcmBO2cHFpS9cW5KThdlivWD6yNnw73bdK+60Olj0927Zbs8vOyw9m8/All0LD9c6ZKPzbqXnMHDn7m0NpTStIF7b6zFJK/04IOQNAPYBBAB6klJqXEDvI4SdiazjeO6f/GWsbey7jVs5srHK0dDDW0xEA2hcHcNmYXskf1ABFmdWMn1eet+oUfuHff5DseykTkj2zeqFE1/9vIUIRirZwFEUBb7qH5ihOCs13vL8UAFA5cbyl9ztSATaNsPG+M28bHvvZkY4cC3BfGI5QCg+3uDz4+aq4vzMaWo2LQKnIQc8sj9Hc21TViI4lAduRNbbfr7cvcT87cR2NDKk5cotSxsn1IqFDwMFz2SXT62LqpJ57mgnMwoxbQ1EU+CTZwGzYZwzp5vSwJHTOmVCZdXhleHXOFrw6Z4tleSBXsFsA6m+U0m8opXdTSv+PUvoNIeRvbg0u32gNqb1KszdW674vHwtApeu7KK15osCO/WoF0n5pehnNx+JDpvVpCZpbAXlBKxMbQrZWrzSzaDPLakSnmFoowjzk2fm97JArykcuozdPVIoLCPbWt6ralzhJIiGGfwzqNZEdRs+IVvCh3OvbaxNXUs5WTvvH9xj/7GzdfSQapYYF4ZzxzPI5s6kfzzjM+CB56F1YnntWFKF7u0LVa+nOQdbOtUzIb261PTIjmyKholGKP31mHKHDr7lm38/nUo5JUnKeU57Z7LlNrmA3zPgMndfOcWIgBwOtIaueWen/2WbxSgWt4OjWN2MbWJRSPPX1elfOQam0aVzz2nzM2lBlWuKdoetpE55ZU8yEETPDhNMtCBZtrcU3q/c6esxsJteMAW55eggBjnlsOsb89VsHzxAj0Tzl1/8GTXseq1OcHWLaqj048YkZmLWhyvwDGcZs7u2sa9H1kl7/v4U47P6pBsezPwJz0qsgffr743Hn6QOV30sKcjviBHB2faGUol2RH3MmnIpCf/y1yWyobwYM1Bn4ulmky2JzdRM+XbLT8O98GxzTasYuXchMXqssuk2uYEmZJYTcRAhZAWAQIWQ5928LgOUWj3E2IWQdIWQjIWSCzt9vJISsIIQsJYTMJoQMsfdVshNeIF+9u97WZ/JKmU3g3dR7TzLEDAE614/7PRUjeJRS1DWHMHNdFW5+e7HhfeLPkUCXzcgil4vTixkFzBQBp6/lJf/+Cdf/b6GzB01ALt6bTJGswKofUhp7sSkoKZBOFujgj5QoUsRsjj86ZbXB8c2PefUr803/ninY+pjoVuqttdPX7jN8vxPKDH9OVz2zOq+N7NMet58+QPn9sjG9Ux9AhnFybaMwL6iVzmU0zmCfiT09/ad0VU69+e3FOPnJGZbfn6inL7+mmiuzlk9pi6QO69BY8l2msJoz+w6AqQAeB8Arog2U0lr9j8QghHgBvADJs7sDwAJCyCRKKb8jv0MpfVF+/wUAngJwtsXxZS18O57NVfHtWczI98mnxQmLbawAFNVdkJI6g2azbApGUNMkJdC3haMY+Yh+2rhHpczG77j8YppJC3IuTbNYH2GTjcihnWjD3gb0M6mW6SZO3ZNk5lWurTuJhvv2vPjiT0af4797oqJtqaIXKs9jNsdX7tQ3jMbZ73Lq6baAza9jO/9bb89QeetT12YNc2YtHNrNSOR0zRSnIymyNTj77XnblJ9X76rHkB7lrp/T0TBji+9zS5mtaWzD5BW7bX3m2zXmEVThCC9zGb/PLXksmWvl1Bqed3uBBkueWUrpAUppJaX0CkjKaAjSXC8lhPSxcIijAWyklG6mlAYBvAfgQs05+N25BLklYxtiNbSYJz/DjM1/B5wtAKXrmUVskUplA/zdmwtxoEXy2rQZNLwG1IKP3vl4nWtLdRP6TpiM56ZvSGFk+YXe4ssMBGETRcCJ52ZLdRPO+OcPePLrzPTndGozzaYQsEzxl0kxm2mi556/XE1t9tduO0QSGLOSCZfXzn2+NVw2Y1VJ49eEdG2P/Gnc9cweHL15nJRrKKihgYEgvYY57bn4mijnPjsL22ubUd8actVwnYnp4dbX+WSxcbhwsljNmXVL9j4YjMuZwm4BqFsA7AXwDYDJ8r8vLXy0JwC+f8MO+TXt8W8mhGwC8ASA2+yMLVtJZR7mkyCargfSI8/of3y9DrsPxPcKszOOc56ZhVE6Xte5m2vRZmKk2FLdhLmba1RCi0fnSeM9iJurJa/9P75xJ8/XjFxaLD0efc8s31Il6UJfHKx0/aLK/cpr6Sx0wc6UqvCcjEKUQ9MBgL35y79VV7DgXjt5YOfkB2UB3hCmd5uSmW7az2grJGc7CcOMLdQnSOn8eq/xntkECmdpQeJgt1S8q7n2bOrhaJixiWc2EwW1fB6Cn42ME20BAD9sqMKwP3+Nr1btce38bu7lRntRJEqxcucB/OmzlY4q6m7cvnCGw4yTWb8cu6T5sHiYYLcA1B0ABlFKj6CUHin/G+bUYCilL1BK+wP4I4AH9N5DCLmBELKQELKwqiq7i1kA5h4kI4iFUMpcJ1ELhGRhwsbm6iYs2ro/7u92Luma3fWGng2jNkt7DrRi3N9n4vKX56oEH70CUJm+v9k6u8wui9ejnzN7/6exCoZOCLx6G6kTSrJVnPPMOjvmYDiKRk0xokwvU06GT/HTqnf7IseOq0dtY2xt0btPHy3aYfuY2VRZ1A5WK8/a/XaOVDPmzkqIuZC96E+nJzye4Xe14phN4QuZzQ23Zk1zMIx7P1mO+tZYyL6jYcYwvx/pfBrYWG4e11/373M3SwbXBZXxcolzY3DQ662Za3oFtgBp7frVq/Px5tytqMnSSJDTD+8CwHrOrFt7mp37E/B65M84de78xq4yux3AgYTvimcnAL5yQS/5NSPeA3CR3h8opS9TSsdQSsd07uyu5dwJUqmsml9NtxN/Fye+byJrXjLC/fwt8Wnh2jZLjDveX6L8rBKCdMdieyiukK25FHq3SikApfmj3xtbytwLEXLlsK6eKynPrMnJr/rvPAx96KtUhuQ4Ca+VwZqg64Xjw1iTHpE1apvNldlkyLSBLFUSrUV29wi94133xkJ8ukTfUJA4Z9Z8vrEelmaYFSxyk3Qa4xhv/rQV787fjhdmbIy96Hj7mOzp20tADD3C6Xg23TyF0V4S5bzj2br89O5QDEBdB8FsqNlUzTi/9AD3sKvMbgYwkxByLyHkLvbPwucWABhACOlHCAkAuBzAJP4NhJAB3K/jAeRF8mA4CTcRn/eZL8Q9jy55ZhOxbm+DI+cyyoXmvVZPTOPyLbPQM5uLKAWgNA+Hl4uBcro1DyOdSr9jyqzDc2x+pV69v9yZx+qia/F/519z+/Hke6M6FT4bVY0/c/eFhenbYd7mmjivvxb+G1lR/h75cjVem7NF9dq3a/bizveX2R6fdM7MlhtK5ZaarYtSfqnz84XG/eD8amHqmc3AM2DUo3TycqmYkVv7E+DummV0bEpprBq5g3fXyWeNGZl+/tJPymtmc8OteZPMcZ2aLvmuFFutZszYJv8LyP8sQSkNy/m2XwHwAniVUrqKEPIwgIWU0kkAbiGEnA6puNR+AL+2ObasJJRUmLH0/1wNGXMaO1dBt58rd5zfvbkIAHTzae0QNCj8ZOSx1RtVtiwuWTIMSzAHrLZdit8bu8JOt35w47h2zpsKdtYQSinawtGMhHKmi0TPHP9XN4xN/PmthrzZgT/Ohn2NjhwzGaob7SmztU1B/OLluTj20A6m77O7Zn67Zh++XbMPvzmhn6XP6wnj/Gd4PeW0wV3wx3MG47U5W/Du/O1xnzPCMMfTwmdTmSVm9ySdj7Czz5XJsdJsd2Bfy0wGAZJzcFgeg4t30ui+qQ1orp0+JQp88X47s63RtZxZG8eN3UtnBpOt98YpbCmzlNK/JHsiSukUAFM0rz3I/Xx7ssfOZpKxwrG1MJ1hQU99sx47apvx1C9GuHL8eMesntCQ+nm8TpSbtEDI4L5uNBAg9YYVcbmYSUKydHEz25CNPLM+rsKWE89Npts9aAWHDXsb8OL3m/G3S46Ez2s9oMbO+vOvmZvw5FfrMOuecZY/A2R+k7Rzfl6OfPDzlXF/V3lmUxiTpbFwJ7Mr4A/r1Q7Ld8Rn/PCKVzL1GpzC7vdhNQhW7zLvxZ7qXEumZ7BRAajTh3TFwK5ltj1IxmHGiY+Tyvcf+7cZ5sdO/tC2SFcBKCADWxwBfF7z++jmvu+WIRcwfqYj0VgbxNW769G1vNCR8zu5Bxf4Y3tmOBIFIUTVNlOLe2HGqa0/qZCl4p5jWJKKCCFPy///ghAySfvP1RHmOGYPTELSOPuenb4BnyxxvhQ6w5pFPfUv7E1TGNiHC61b4oHsLADFyI5RxDC7LEY5s7wA4WQYF01B4UjtvOrfb3lnCT5evMO2t82OYv/JYimPcJ/NENHN1ZnzAAKJvRH8k8ffw1U6ilM6W7/wW4PdKdtmEAHCH1Ovgnq6sHvtrObcpRopYRRRY3ZM/t54dApA2befJr9HJet521nXkvjYaVrenPR6UWrW6giWN7f+901J/KZEY5FPlkgGcTPizs1baDTsc5+dpRTKZJFv2Qafyz7oT9Nwxj+/x4cLjQvsPf3tBtvRJVaw+owFw1ElqnPSsl1pPXeuYtUz+6b8/7+7NZB85WAvw29Eony1ZDHzzBJIgocTe8m+ensLnd48yBZlNlvRLQAlC+hahZXPU3Iv38WVwxqdjftv8r2n7US0xTxD9s7hZnVOK9jyzCZ470vfb44d14UVmD8ib2jQCrhH9W1vel1bDHL2+TEnCneUct0yHYMgoURcJLiZqa6ZZn3BjVBXM46/XomusxZT5SvRWJL8+idM/M7K0ZM7uE2cXJ8pqOVK2GY4ZQAlSBwdlkx0gFUyLVMkMhY5xfsLtqFLeaFleY4PM45EKTZXNWFzVZPpZxZv3Y8zj+iW6lBVWL0//5kV24emrnSvlVM+YUmZpZQukv//vbvDyT8uGdULb8/bltRn80nX0X6VrbXNaF9iOe3aMmYbCYUsjDhwYe0Kunobbrbc32zJ3bUCs3rHKbNeZ8OM9UjnVdJ+BSZE2/1qyVyLHJoOtrE11124Dqo8WZOc2eKA+dZsJHw3tIbxyJer0adDMd6db77vmHm1UsXuHGIKYaKPpTo3mbBtVKQnkZE1oJN7Z1uZNXo9g3aF7DBp2MfUM0tIeiv1y6dKpMxGHMyZPdASwvC/fB07toOpBZncB37aVIOJ09Yqvz8xbS3uOXuw8vsfP14BACgJeNEU1Dfs8ejlzCbCDUOf1Ws6ZcVu58+d1+4x+9WMBTbx28hv05JPk0/7ED//XXyxaie+rSdNObNOGFfdrGpohWydX2aj8hgpsw5XM66saY57bXtt/GtOMvCBqXh08moA8dcg2dYHdkLa7Phls6k4XaKR8N44O8q9G14Ofm6qC0Cp31foV+8bPSvUPW8jUYphvdrFHf+Zbzfgldlb8NCkVVi7p8F0LG56cWwb+yxGHqQ6Ypb2Y2ef4M8Z0NnP7XtmjVrJWMmZdc9Q58Shz3lmFv7zw2bT94w6pD2A+DmdDBSpFdRyGkISzy0nU9m31qi9i04acjO5wl/xn7kqL++/Zm7SfZ9R71stBRbfx+PG/LG6LuqlwKR87uzZsl1BKLMuk3BzNvl7FsmLLuCOp9LI4s5wSte1rVRoPvD0t+uxdHudM4NJkWydZnoLv5HQ61GFGad+7v/7UGrdwVcjP+eZWakf2IRgOIr/zNqCR75crfP9pP+HbFr17YS02amiftG/5tgah5vYEfBtVZPk3ptS7QMO/n7wgqf2O2iLfGmV2yilKNHx3tqplJqJ/LpUP8dfp2ROwT5utA3oCpvcOfU9s/bGkK1eUCfmw5rd9Xh0yhrT93QqLQAAHHtox5TPJ3lm9a/ohn2NmLJij6oFlpuw65dIBnHSM6t9XszW7qP7mlcKz0UsK7NJeGbdqDngYiHrg56kbhchpNjpgeQrszZUm/7dTA7LpfDPRKTru5i25jHZ+Oxi5fvwC2i8MrsBD01aFfeZji6EXucTLIRLK5/w991Jj/eKnfEVY93mldlb4sOMZRHYbk6SHcGJncPK5dOrpJsp7NxtO+tQXUtI+dkoR9UuUYMwY61HpU1zPu2wo5Sig85aYcdL6KpnNsljJ2ydk+KQk4lG4T+hF0Jqt4K+cVisvbE4idRn1qWDa5FP5ERkkJVjbHU5ooaHgCR8BqescC4HUvu8mHlm7T7viZ5FQoBDO5fYOiZPayiCi/81BytT2GOLAu4ps07kYmvJdE5zPmPrDhNCjieErAawVv59OCHkX66MLA9YWFmLLdXqMJAXrxqtspCZTe58mvZxYZM664QTm1uiqG6nlie7i5LV0KKMFGTJ0ommWwBKvj5aDxTfDcHNDSPdVn4GmxZ2lNkPFmzHV6v2Wn6/G43vsw02N1pM8qwGdytDaYEP09fErp1TuWi8sKkqAKU5/F5NgTntnI5EKdoV+wGoBUo7ipWbclWyh05czdjYm23rPDbOb3Qa9vqvju+LgV1LMe++05Iej1XcumfpeOLDkShaQ5HYuZw4KU1sBLDqvUt5KPLNSeSZBZyL9NBeQrN2XE7f4/87cxCGdC9P+vNLt9dh8bY6PPzF6qSPQQCcMzRxkSa+mrGtgztMJnfWfHKO6WHXXPFPAGcBqAEASukyACc5Pah8YfeB1rjXCFH3vDKdXvk99+Jw+1kjOm0VksWK94p/SzYuJFk4JADm18qo6ilvDXdTmQ2mS5nVUV4Ae9/tno+X48mv1iVxcvsfySS2qhnLt8/sPhb4vWhsC2N/c8wzaze82wg+auD+T2N9brXhgdp1Ki6ckAJ+D8Ebvz36/9u77jC5ibv9zu4137mce++9V9xtXMHYlNB7CzX0ECCmJfSQUAIhfISeQOiBAMGAaaYajAs27uCGe+/t2s73hzTa0WhGGu1q9+7seZ/nntvVSqORNJr51feHVy8Z7GwP45nNqDIrNK47/wWn5XCfQ/eKOz5MuHnAzs2La+Cj3x6pXV8zHY9PFIamXEUd1EyvUec8OwNdbv8w8lqoQUM+m+ZhQvQMSlGVfVGtEzr7RoGw+eI82Luerkymc3x+brCqU6vAnbaRkZzZShS6qtmyHhqhfe+UUrHAZjTxV4cgVF6UuGZ+X2V4SDL2sgnNyub7bLznUYWOhL1PvJDmd2w2HbNiL/7xxXI8/83K7HUgBbB3Z8e+Mtf2mIsAKnPnz1TpAbFdcYgwISUb70i1W/RCdJh5Q/087AWSkLSoQtdV7ajYq53fhYtMJChiMYIjOzVEo9oF+PLG0QBCemZTfNKzf9mBNpOnYNVWdWmLsOOU7R90m9N9DGkpwAJSnavTCjNO8/oHtqmH33OssK6202s6EN+t2B75+SgNLs2TLaJFJx9b40HuKymP9JwMfmHGmbgLsvlG23CV8LaxYN0utJk8Rfv8utekE2ZcQ/DgZyJKLpWh2LdVceA+q7buQ4db3sfyLZVb870yEVaZXUMIGQqAEkJyCSE3APDP9j+MIbP+U+oOQ/GzRFdGsni2wpgykY8ABOUgR0cAtftgcjG6cFgbvHzxIMkJkx/5ZxnUx2yDCbX3f7AEd6YR8hM1ZLeCPb+73lsk3Q5k1jOrW6dyycbdeO5rfcPAYwK7t0d5oeE9s2GRavmfykYYpYwJWmU+4XiysMQTH5+O/8xeG75zAlSCtSiEllckXHOKuBZUUOqUqQKSipDK6yZDqjL+W3Os+/DVMjUfRNimdZ8hLygv3hCe8TMVYy074rQBLUIfGwZabMZpnuOyI9spw26z9d6zZx2F4VzHM5vNPEVZV0Z0bODZds0rc1Nq3xPxIPzuRwCVCZ1e5pnVvd1szpu+fJtjXAzimPGeS6/OsE6Y8a2Turq+Z0JCTWUs6hAyvjN3PcoTFG//sE65T3Vb18MirDJ7OYArATQHsA5AH/u7gQRyLw7VDs2ojLGXrYk/UzmzQS00r5t+OQAR9QrzUJjvXxfS5ZnV3C9beP6bVVk/px/87oCs7MFPm/bgzTnJSTyTZWNKyvSU2WP/9rVH4faDmJLAhoHoscqGk6G65cyGCjO29/XLWZMphBt3H3QYrtOBil1afO8LcuPowuWjiUJsglLpuyAjhVIhkyFvYtNBp9Id1/xuj3ziLe+mC9UYl/WTPZtOjWulfD4elemZrV0jN70GIkDUwy7otmXNM8t9nnxM0vt9TI+mnn0XpWCIAYLZi3mj2JkDWwodDHcfdHaXcZTonoXv+/Tl2zSPkpxLJ8w4wDPboVFNDOvgNjpkIkoulbGvU26JzWd+Xa5u63pYhFJmKaVbKaVnU0obU0obUUrPoZSmNgoPA6gEppy4nme2MuLrMzXv61xLlJdbS6FcntjXsq4f37tZZOeqWZCjJH14/bIhANzX5vfMs0UwxCOsNbQyEZesMEf99Uvfmp1RYk9JWfBOSCotuoKUOHw87LUh20sFrAuHckkw9u6FKVkUJdRhxsnt14/vhL+f1dc11r1CrNsrwj7K2r9tUld8cO0Iz/ZUb4HOYdlKV9E9576Scrw/f0Ng3+WleVTnC2hMgfTCF9O7rwU5caWQLl77ta/+gLOe/i6t88nP4/7/pw8WY/B9n6bWlsbtyOarzp7tsb2SCmyUBuogzyxvbD2lf0vffQPPpXEEHyL8qz7NpH1UYQWXppAOIRYBMKyDf5mnoPSLBPU6mTIRPZjKvKhza5xmA6p5HMoIy2b8L0JIMfe9LiHkuch7dYhAFpJIKXDzMV1d32X7AIeWZ1ZsNVO5oUlPlkJozMBdzY3HkKugUR7Yth4m9mwi5Myq28rmwlsVSal4yPqnE9VwzrMznFDIqLFzv54yy6C7SIuLrWiNZeMnnWf21c9bfH932Iyr+LgQIfb2YFkF2kyeghe+XQUA6Nm8jvMbe78qw2gEqJVZfvNlR7ZD0zo1UJQf5373jgd+ymFCtKz9dg2L0FXGOpqqMmsf5+8FCHcq3TFXUq6m6PBr4tb/zscVL83BovUphCaHPsIfqvumw4KbLmIxHyFduNB35q5P2WPmBzHq5MkvVmDjbi9ZplZbCDYOVEa0Uw5XpDTK+ZR/vQ+WVeBuIfrnD+8kSeXE4RT2PgSluVFBAezQqKanjyqc9fR3rr77pX34d8L6J5ML/vXrgdrNJBLUYyjPhKyoujd3n9Dd9b15cTKCUKe8nqPLauxzqCJsmHEvSulO9oVSugNA30h7dAhBFmbct1VdtKxXiFsnWgqtv2c2Y11TImthxhnjGLT6r5o0MnF5OTHi8rY7sDcRQlz31e8eZyskqkrDz/silOZQ3a/rX08vJPSCoW0AAE3ruBlKdx/QU2aZIKHrARQFMrHEQhRhxuc++73WftVtBIrC4o79pQCAx6ctAwDU4UIr+7eqCyBIeMqcUtG6vrxEOz+OmVCVE1ez3lcIgiQbb7LrUgn76c71fjqEqumNEoZ/v/1F3P6Otza304bPcWt3HAAA7LWJd1TnkxuX7RA+0XMTOQGURs5smi+nn4cqE+89OxvftpMzG0H7Vs6kP7JNAAW473OUp+ff2ZdnrMZCwTgzj6v/HbSmhDmXCvx1OpwLGk9WNJKk+oyYMUP27uRyfatb6J9+kaDwTPuZGDeqe5qXE8P0yWNwSv8WyBMcI2H64TeFrN6WvXrLlYGwymyMEFKXfSGE1APgnyx4GEP0yrRrWIQmtnCcrOnoRWV6SDIXZixskLx0/Iu+eMNu7DkYnvHPzzPrUoRCt6xGLEY8ExCQvMQYIe6SEj4n18mPSAVXvjwnFEtglNAZx2u270ebyVMw+5cdyeMk+/GL1rNfr0T7W96PooseqIqx674fzDKv6wEUZUyxjm52CKDsD9VMmxW7y5S8ZIRLco+atrdTvL/+LUaH9g1rSrfzz1WmcGzZkyzlQSm1yew4QRJqz6wqmiHdsfTv71bj5017pL+JAi2bA654abZi//ShwxLvRDiEajfc9iCkVZonzRsVIySrjPmZlmUoEGh7yqaBmHWF97IPalcvI+fyn8O8tyVsWbmgR+aZg0hye1j4Xcv4bo3RpYk8X50ZM2S+BL4cT428uDeHmINsjGRiyKqGIgFBs+IaaFAz396PBh7jQkBnKaX42oew71BAWGX2IQDfEkLuJoTcA2A6gL9E361DA6Jnlld4HCuWz/xSGTJl5sKM3e3K1h/+1Mc8+hXeEpjZKKVYt/NAwHm8bSXPmTxrlItrjLg9s2/+Zqh1PsJ+Fwmg1OfOFHnRlB83AABe/HZVssxLRs7khc6t/naFZal95fvVvvsxL1uXJrXw+iyxSlh0YH0WPau6oUdMIdENnxIVDvG4oPD5KFHdowPE3F+XIcn+n3JYW5qglKK4MNcVRmZtT37mDTbf3zrW+bxmu2VZZ9fl9opY/2VCocoZl+4dWLxhN4559KtQjR/QJFBLBf6+dj2mbtnPbFtUOmA6ymS6oY9+kczZsp0nw4wjOCENfi7Zijbjnw0/n3dpUhur7p+Er24ajV8Pa5vWOcJcizjOwpaV0zkXu85T+rfwGBHDwG8+LsyL40CZOr2AELnBTkz9kvWLzaEJSj3jMRProHLMO1F81jhi975hrfxAowXAz1Hyt0G3CkN1RlgCqBcAnAxgE4CNAE6ilL6YiY4dCuAtYZeObIenzh3gfGdD7pvlW3HTf9whkWJOSTbhp1xHCVlYSNDk+cxXKzHs/s+wbLPcG8C3IWuLkORkEqlnliQ9cfk5MUdgYBNLjBCXx9VvjsyUZ5bh9ncW4g1bCczW+NJZFBnbYEl5wvfZsKbyc+OIx8La4sJDXNB07xkzbujmzHYTchrF47JRZ5aN18rIMUsH6qgP9XVUVl5wwvZmjO7SEPU55mHVPW9UKxnmvn2fFT7NxgKvmLCPy7d4a79G75lNHqdmZ5YfUaeGPJArkjIt/tpsyuepSq9Dun0hRO0XTldR1r23URpTKWhgeHZWjXM+XWlZrxCjuzQEANQuSC2gkb8UMcRYRDPBYBaWZElnfnhjtiVLlFckOCNi+PvtlxdamBfH/tKkMvvFT0nuB0eJk4wBsRyPrFuMub4iQVEzPwfNi2vgN6PaA8jMOhigy4LY+yQocObAVhjZsaFWiU6Hx0Ax/vZGVNe4KiMVaXAJgLcAvAtgLyGkVbRdOnTATx63TOyKVly+FBNErnhpDl6ftVa6EFQGlXamlCmdZoPWnPcXWN5FPxIe1kbgdUR4mYQkJ8XB7eo7wmOMs7a568z6CdnRe2cXrNvl+r7ZDlnMlkCvczlMmS0tr0gaHHyOKytPZJQwhb17Ypiw7h1jfdPNU6opCDeiAJbNMONqp8wqnorUM0vdv0nbo8BxEbKdu/tkhcXFhDx6HYGb9yIAQpkqn1dBFHBGd7YEar/BPGvVduy0c49TgeqZqIjyolJsVGC3wC/nFpDPiex+RxWem04z6d4nvzDjdF973eOjZffV8cxGdjpf8JdVS6GsjuhovXtnD26d0jn4eeKdueuV+91/Uk8nZJXBzzO7r6QcM1a481h17htLBdt5oMw3dS4IftwSNXJzsJ9TxlZvT+Z+sucvm1bEcjyy+YHVXK5dIxc58Ri+mTwGx/Wy5v5MrINBbVqeWdjkWpYcoeeZtecoxe/7jDLrBiHkalhe2Y8BvAdgiv3fQIJXvleHQYqWJD7MgoVUVIZMmTU2Y9k+AedmSqwo+MvakIcZy/Po0kV5BUVxYR5eungQHj+7n6PMsmccJ8R1bUGLRJQGhenLt+LYx752bWMTW6a9wAx6nllrUQnyzLKRVJ5IeGqzRgqF0qNrAGBeY908JbFZWV1RWX8ygWoXZey5d9Z/PwNA0HPMlJ2EwpoXLGU2ud3vnl92ZDsASSZfdj08+6Yfy7f42/huTQAAk9+aj8+WbPL2kVKc8o9vcc6zM3yvxQ/K3DBFPyOJOA3RRqUydqcTZpxmt2WlzaKCbtccY21EzzzokrJpnHN4MnwmEFkda13oGrplefd+yux1r83F6U9958rND7pvFMCNR3cGYJV8SoYZRxv9kJ8bc62johGbECK9XqaoMpw3pI1nn0a18nHn8d3xzwuPcLYljYY6PQ8HVZNsXiSwZEUWwROLkVCleVTvggkz9uJaAJ0ppd0ppb0opT0ppb0y0bFDHeK7x7y4i9bvxgo7VKwyPCRZYzOWEkBZ/1WTYcJHURX3UZ003atj+bA8DtoTxbAODVAzPwdi9KsouAZ1IsqwqJVbvWGH+0otZVYnfCVbyGNhxmUJ3+fLfvtp015s3Vui3jFNsC7oWEVlaFTLsoqv2LI31PkYPHVFBQUtE2CvZHXPmfWbJyo0jQKZEvmZxZ2IefQ+z3VM50YAgK17xTBjngBKDVEAZmvPZ0s249f/nCXpo/V/wbrwZWySbVDhu/VfJcfz3pbUz6n+TVxvVLvqjPx09cG0CKDSXMEIUZ8/3bded25K6rLpzzMUNPB+Zms+W719P3ZrkFYSgRAyDHTv8Xcrtnu2+RlWWckqvvSVzrnaNijybEvldvsdEifEzfbOCc9sDImKq7XNLYj14Eq0MeTEYjh/aBu0qOuNmsxmzqwTZmx7ZhP2OhGPBT+H3QfLMGX+Bvv4zBkLqzrCKrNrAOwK3MsgGAra9IXrK/f2ZmzQa7Sro6zy+8ngNwHxdzzV65RZAA+WuskJHM8s+y5MSGL//3p6b9f3TBsU2FjL1vymcz05DmFSghNyKn8GTjVnlpVg2bZPL1RT5YkVv2fUo0Sqac6s8F1U/PnfmWIX7Jm17oVI1JQuEgnb4i4ItKzPQ9rV9xzDBLXLXpyN3QfLHCNUzEUApRbodwnlpNL1ZOkMD9UuOnWidSHWzvVTjmTCvS6cMGN2njRfj7RuQZrn9vMYpju36B7u4o9IU2HQ8sxmSZn9bMlmrf2sCLHU+qQbTbVFYuj1C+V1Uhe4m8nbcQdLGJnF2+4cK5xm466D2HMwoKSdz3XFYpYzgN0z3jPLwoxvn9QNRUIFApmCK0Imz5EMroPKnFmHZyWZakYIQVxIR5Hhkn/Nwi922Z0Hpi7FM1+t8OxT3db0VBBWmV0B4HNCyM2EkOvZn86BhJAJhJClhJBlhJDJkt+vJ4QsIoT8SAj5lBDSOmTfqhU8nll75uAnk0MrzNjdrmz90S2b4O+Z1Ts2ZWWWez79W9cFAAxp7xZAY/zMBFZnluuD0Gab+m7rZpQWQZnVukJToI8KOpdDNMd9mB6ncx/ZvUmVzZiV9tlfqmZh9IMogLFryU6YcbiT1Myv3OpsYnc9YYzc7+x5Bl4hl+8eJRKU2uybcgPX1WM7eI7hS0zs2l/GhRl7uiuFWOIsiDAnkiFGxa9U69xhMKitW8DOVKhy1NNk5gJ9gxEj6g5kzTPLkdnxyllK4aka+2QrnUYXzPuWCnQDhcokYaU6EW3866kqF8YqChzdowlXR5gqORcG/+lTnP7kd779DfLMWu16+0IpAALULcrDrZO6uY4Tc2YB4LZJXVHIKb2tJHW/M0jFoXxHnPvOMULH7Pq5QXLMvLU7Xd/vmbJY+7yHEsIqs6th5cvmAajF/fmCEBIH8DiAYwB0A3AmIaSbsNsPAAbYYcv/wSFe8kdUMpi3jA9RrRQCqCxZMZ3SRK7FzPovvnji3OIfhurjmSXJe5rqveWfz8C29bDq/kme8JWYW5dFjLj7JV5fjhCXHGX4r0x2ZM846mfNXyO/kISdSP0MDmEEni851sOwUPVB9/Q1bKvwfk3iBY9CpjhvNsKMw46/yhTOAe+7LN4r/vekUUB9H90kbtFeHUXSM+tSZiWhwwwFHCsnrwC4PbPy8505sJVDZjWqc0P0bF4n8HkFDbG1O/zLowHq+TUqQZEQ71wQ5s0I8xqJinjaYcYpNFDLNhil+/bHfNiMsyVu8BFY/BqUytRmeWb972dYFt9Mg+VF6uLFb1dh2WYrXUVXMVdds+q8bLO7fGHyd35eOrJTQyy/byI6NXaL/k7OLLeNeWQXbUimLMhqr/t5zxm5kyy9gu8zv3nWbeOk4+LiEe3wyiWDne9/PtmbJZlJz6xfnVnrv4UKJ8w4OCRdp+TSYaDLhi7Ncyel9E4AD7DP9vcgDASwjFK6glJaCuBVACcIbU+jlLLEme8AtAjTt6oIFaMdoM6Z5SeTt+asww7NMMWokKlBL7bLrrLzbR8624LCjHUEenGyePLc/lr90QVvFcxVSGZJoScpEPuFGYuhLpm2JCfzBjN3Hp5JUafck+7iHqbH29N4d1Tn0b1l7Jnu96mP5wdR0cmmZzbs+KvsdVLsLus/lfzO5lnVfTx7UCtcPKKtyxDFI92QxW+WbcW6nQc80RoyrwMDHy6XoFSq+KoE+j+d1NOJEvjnhQPxv6uHByroQYa+r5dt9f0dgIe0hD2DqIwDcUIwZf5GHPnANO4cUYxEbxtVwTM7749HoUXdGmlfo9/9T9d4rhuFwsYGBXUps6mue6oreveqYQCAgxmsbZwKLOO23r7lFQnc/s5CnPKP6QD05x+1MivfX9YsvwYt35zkfiBEFZ7rPu5AaYXAPGxtf1vCwuzrmbWN/UGs4nyXRCZnWT8BeVQRaycT4pHqHXOC+bh83ViMeCJ4ZNAZEsYzK4AQMoQQsghWeR4QQnoTQv5P49DmsPJtGdba21S4CMAHYfpWJWGPn7+d2dfzk1iiwFFmuRftq5+9TLSZRrbYjNkKxJMS6BJDyH698Y15aDN5irZXN9Wr5MOMVXVO2WSY/O9PACWyG2baOy6r8/f6TDXzti7UC2Xw9VDuf1Thz5kg7tTtGbtmmRVa3q67ZX4IlCUSWcmZdVKeuHP85cMlWpbfqgSRxZi/Y0Eh9q3rFzpsw4BX+E/X0MQYuFXRGjL7GE9kUlaRkCq+YcZ6UHnmKIaY6p2XCcGpIEYItu4tcXLFgMwZVaJuN5V5KRazGFvT98yqDR/pRgQ99NFSrf34cc+ncaQme6iPqV1ghcMeTNGgGAZrQhCYiYYsP+wrsfp+oNTNZB6Emyd2lW5XG2m9Bm7+83qucgA/evih5IQc24ed/tS3mPS3pPzKrnmdJLLD77KYqMzGSlFeUgGlNBnerEusFrRfst66VnOhEPSO8bXerXSU4JxZrfMe+rps6DDjRwAcDWAbAFBK5wEYGWWHCCHnABgA4AHF75cSQmYRQmZt2ZJ6GGE2QAFcNLwtjpfULMzPFZVZZnVyv2jrdgaHdEWJbA369g1rSs7t75kV9+Pxxuy19m/u7W7GTyL11oQBH9qXo6DmFEvziMylYh/FZ541ZZY7zU1v/ph2u8qFUudYbicq/Fftl0moowM0PcjU/T/s+fjxUl5Bk1EJGRwbTogTt+D+3+fL8dosf0NH16aBmSYZhXhHxPJcCYnwLHsuJ/drgbMHtQbgtZQzRPVuekvzyOd/wO2ZLa1IJMOMFTmzdxwnZvC4kQ6bri6UrJ0Rhhl7z5l+u/LUBvU5U4F4/x89ow9+P6GLxnHpX6OfZzZdoVkkGlOhgns/+fks9TBj+W8sIkHXM/vq96vDd8DGfKGWux8I9L3ge+3KAyzPU3f+kclXgPq9lJUxUz0P2Rjiw73ZOX5c674nTnqTpGG/scfOV5Gg2L6v1HMPhHTTQATtJzPqRoWgNl2eWTtnNoolx3hmJaCUipKNjtlrHYCW3PcW9jYXCCHjANwK4HhKqbTuBqX0KUrpAErpgIYNG2r2unKQoFQpNuQJntlyhwAqw50KQMY8s0K7DWrmSXZi+4Zry+83fuKioFzjqV0n75kV650xeNiMCXEv2iIZligwZzrMOEM5szz62eRYgK5nVk+oydaUrBI2dM8fdpSJ1/zc1yudz+UVVLukTBQQx1+QZ1aMMsk2vEzQ9nbhO+DNmb35mKQS8dBpvVFkh53xKQI8olNm5V4QmaDIrxWl5YnAMONOTfyNC+myGetAdZsiCzOWzL2Zi1rI7Et3Qp/m+M2o9oH7ERKFZ1Ztyki3bd1cYP795D2z90qIa4JAoR7PLNdc1zP72GfLQp+fQTaunzlvAO48vrt35xBhxoxzgRm0dN9N9n48eGpv13bVe5ksi8hvU+ysuN8KMmNPezKxye+y2LhavmUv+t39MR76+KfkcZL9ghC0G3NYRDmdfL50M9pMnuLycLv75JYZrTqz9jqRwprjLY1mlFkRawghQwFQQkguIeQGADoz0EwAHQkhbQkheQDOAPAuvwMhpC+AJ2Epsnoc51UclKqp8MUixk65hUzERoZApjw/YqvfrdiONpOnuLaVC4KmCn5d9IQZ88qsa6L2PYUScZdnVv76iF4dS3BVn1tUiqN8BrLR9NGiTdKQ7HTBT5h9WxbjtklWqJOWMuvyzKq9Z2GQzquUdc+s8J0X8sq5MOOon9k+jqCKzT3i+KvqC6HKq50Me1N7Zgvz5OUbku9utGHGyfYtYg8nvM+e/+OSQcuvIWUVVKr48kfxYXiqc/shU2HGJeUV2h6sAZwxTAaVdyhdyJpgzyaylTnFhizPbHoXSWLqeTFr7PaK0OIXv/sldFuUquvMOrXLNdMkZErvOc/MwJA/fRp4rEzMG9etMc4f2kayr/4AYBF7TO7QFQ3YPDKyYwPXdqWRVhpmLG9bdb8dAiilwkxdfePhN69+YRM53vD6PADAYo5MivfM6zqCgu5/UqFM7304WFaBvfb6+vGiTVrn5LsmIwrUhapO/aGMsMrs5QCuhJXvug5AH/u7Lyil5QCuAjAVlvL7OqV0ISHkLkLI8fZuDwCoCeANQshcQsi7iuaqDfw8sweEiVMWOlYZyNSgF9/H//7gcczj8n/PtvYN2RYPMUXRxc7HtR20cG/YJQ/vdoUZKx6W6DWw6qTxnkf3uWsX5OLBU3vjpgmdAWSPUTpq2cVtJQUKbaFa5zwuZdbPM1vJipX+6cMpn77RBtx5o778t+asdT6LBB66qGq6rqN8cCFbDBUJRgBlbVMZpBxGcjFqoiIqz2xS8Nt9sAy3vb1Aej4RpeUJ53r4eYYX0FQKenJf/3NEcYUyNu6/fvwzVm7dp3X86Ue09P1dGmas2zkfnPqPbyXtRjvAUzaykfSv0ZcAKl3joc9vfHkoFoVGafBa99rM1b75qH6e2aSnUO/CZARWXy/b6uS5+yGMgiqmHflBTL3SlQ1YXrxouFIbadn5vOcW4W7Sa1Dbvq8UV7/yg+e49TttvgDJBOR3XQft51ImSTilSBozogozlrEyp4JRD3yOHn+cqnXOpAMkuWOCUqfGrgwL1+/Chws2Sn/z1Kk/DLTZUAUCKaVbAZydyokope8DeF/Y9gfu87hU2q3KsCZa+Sge3NZdmzT5MleyZ7YSJVPd+qd+feStdgDct5NS6aQtYvryrTjr6RnS3/h5OChnlp08RoivshYjBKf0b4F35loKfrbq4mVaMQyjHLnCjKM6fwbeJd2+hb21frv7MWGni70lXgFOFCyCzlkZJcT84FnIua/M08G2qRS7pICUGc9sjHs3nvh8OTbuZsRQ/mO2tKIi6ZlVEEDV9GHRB4LfiyjmBVkbK7bslewpR5D3WO6Z9Z6zSe0C596mCqfZiKKm0tBl00acEOVlZFLefZUjGEzOL9RXiSktT+D3b85Hk9oF+O6WsdJ9KFXfFz9PoWyspFPCJ4hUjQdR9Inhf/PWY0yXRijKz/Hsp63MOmkS7u1BXlOdnNmg+/3kl8vxv3lexuJxD3+BVfdPko4/P2UraM5VRdEo9w8igErRqCuCn3eCvcHe35dt3ouuTWsDsCMQhDZ4ci0RFQkKjmrhsPDMaimzhJDH4CNvUUqviaxHhxB4pjURYrHmINrxbKEqJIoHvXhh+ujSZRWfRSzesEf5WwlHJqHyzDrndoUZqxcJEmP7ycM804HfeIpaafYq6fLtfsdSzuBQmV7YoHp8wcf7t+M9QO+38ohXpf2lSY8JW1C9YbuRnjJyiP1l35PXw3tmk4I0oCaHERnJGaJ6N9+2DVffrtjmyklWCcWPnN4H1702F6XlFDe88aO0bwxFknITPLLjmXW3QkFdxr/cOHEMCzIELYOya3h15hr85sj2WvV3wyDq4Z9KnVkH6XpPfU6dLaNUeUL2PnrBxtCmPWpjBAWUF5Vcf7znkJ02nasP80yt3Gf52eav3YWrX/kBJ/VrjodP6yMxzOn1kkVteDyzivMmJOuVeC6WLqW8VM1bIItu8VvX/MZIKiJC0PxHQsgt+ufUkxX53QrzcpIyIQUUvhMpvGtiFV/EI4CuZ3ZWRntxiIJS/bBhVUHobCMTYz70i6QKhUkhl1IM29Dpk98TaFKnwPmco5A8WT/dpXnUiwTLIWELULY8s5lWUsIUHxdFX+V+WZqTVafRFficsRpRXwixrl03/0sX+3jPLAvLFRWRgIsICgt/e+46TOzZFPk5/uGvqcJb1kj9PZmXb30X0z0Ylm+xwmF3H3QztEZlTGD3fdPuElf/VHNKj+aWhX7l1n2Yu2YnAHfumUsIyvW/z0FLjE5d6CCIEYHfLNuG9+cnQ+KIzemaKmTh4Q9MXYqGNfNxWkCIclhEPeek7Jn1UYL021B7ptId2vy4Sth1MmXn4tn0/d4n5ikNml+CPIVBNVT5tlJFGLnNr87snhJrvllvV7H40s4XTea0qtuNx4hHjhR7pTpeJlt55JQYQaJCnqNMoX8PyiSd8JMR/KpcsLURivP3b10XQ9u7oyADQ34lRtB0oR0Czd3b/JyYK4InHmLmENfwqm6QjgJawRGU0n/5/WW6k9UVVs6segCO7pxkY04yVGa8W77IVr6mHwLrzIZRZoXjdHIP/Saegtw46hVZTMyqMGPRMyTSq3stnsT1P3s5sxF7ZiG/Lj3PLG9o0D+HHzJDABXueO2cWU0FvqQ82pqJstC6sN4Av18/XrQJv31tHh755OdUupcSxCgXv5zZgW3roWvT2nj/mhGuNr5ethUAsGb7AbxyyWCM79bY01Y6ePzsvgAsgYW/vSLLPQNjjP7zh0ucbS4PJDfTMUUvP0dFUBcQZhyBCUYUpqYulOd2qRD07spIZABg54FSdzsAnjy3f6hzi2D3I6qlOdV5KSg8Va8NdZhxlOvBQZ95qrwiaegr9ym8qfuuBeXMyuYv+Tat00kRTm7TL7fCM/cC/vfkouFtnc/MMC4qeOrSPO7/1rnc+zgM7zF+G2tX7/0or0hIa6+z65I9y+BxwOQs7y9v/mYofndUZ+n+Kjge/YCzhkFwbVv7P7cbIcl7Lt6DA5L8bh5hU4UOBYQigCKETCOEfCb+Zapz1R2WtUr9e+v6Rc7nCqp+mbOJTAz6sE1GGmbM3U/+KL82gh4B+13tmXWfWwx3Es/M9mNhy9lSZlWnCZooVVCFGYdnM3b/9ztHtqF7eucaQiq/MiS40OsSzZqJuuCFSTauowxz37HfUi627ZVWWosEqrBoIvndEaTtbbULcvDBtSPQrVltZftD2tfHMT2a2G1Hc2+aFdcAAOwtKXe973kKBVS2nRdUxXXm3xcNwte/HyNtK2h+i+ISvaXY8kMe7/+7PtkLCWRGDu6ManNqNyrVXH4WnZEOcn1iFfm2F63frdxPBb7lfSUVeHnGak9kA+DmxigrV1+QThSEnxKVjAySHxclwhJAhVWVtu8vRZvJU/CGT83v7twc5swHQrdUZ5WxGfPvcLemtbk5Rn6tTqissodWnWzZc+W99SJusJXRwe3qe37j99d9BsFhxva4iXAd1A1tFndjRgn+OtftPICuf/jQtz1vuTqjzIq4AcCN9t/tAObChCArQfkYiABs31eKTxdvklrNEwmK+95f7ISeZBKZ0KPCNhmUrxjmxeQnOEr1lIwgzwX7XVbr0GrbbckXw53E64sJ7UWpzPoJTqr7eMVLsyM4r3+Ylwh3ndnKn3iVgqqup5U9a+3z6f0WdZhxqUSY9ND6BzzA71dux2Ofyj2vTHBRvStRQOyd30Iu1pnVzXVj/U8nzJjvV62CXADAnoNlLhZVpTIr8djGXR4S93UM79gADWvJFcggoS+Kty+o/Fja4bJh9k3TQhw1n0XqntnUw4z7tirGiI4NfO8F/56c8LiaXEYHM1dtxy3/nS+t3cqz0pYKXrqlG5N8FTrrIIWXGIdHTOHOVrWtmuuuffUH36iYMM9Ux8Mu/s5y+3kiLRHH927G9Yd5ZoV2FctH0jNLuW3Jz5ePap8MXVZcq44yWVqe8EQDFebFfZ91l6ZW3ew9EsMIQLWUaB7B5HKs5egQvP7J763MIbDWh92bQbyfVUCkyjhCKbOU0tnc3zeU0usBjMpM16o3RIVGBv7lv/bVubjoX7OwY1+pZ78f1uzEU1+uwG9fmxtxL73IhCIR1ioUtIalHGYMqqUQ61rRVFbuxrUL0KtFHfz5lF6u9lTWRyckyKkll52Zp1xBwDJ9+bZI2g/FZqxpPc9azqzSG6N7vNrSHOZ8fFtAdsKMvSFKwe2I4XDOsdlQZhX5QU6IFvd7mfAO6vYqCnI2/r4W5sZBCHDf+0vwJlceSTWnyBiKVXVmg+AXAgpEswZ4Uikifv6hCHdSaP/uE7prtJvdMKp0PLN6qR7Jz37kXCrwz4RFZMjAhxmL88+Fz3/P9SHYcBcU3sqn+MxctR3XvzYXlFLlmiQr/wIA78xdjxkrtivPowp7l0GsbhAVZO9EEAHUi9+uwjfLtkrzUvmpLk6INA/X9dn+wpdhElFakfDIHfEY8S1Nyd6zqQu9tVr55687JwSqlSGM8NrQ9sy6727SIZDsTH4AJwIgy5k99LXZsGHG9bi/BoSQowHUyVDfqjXY2PGzVsl+kln+mXDh5xX4aOFGPP/NynCdlCAjntmQbQbmzIaxmbm1WdlHyTHyZ7bs3mOsY+2DVQJ6bjyGd68ajhEdG9rNuSckcaJhzbAFMY0KAaGQTikCGcTnzK47jCBFEeSl9P56Sv8WWv0JA9Wh2sppYEvi/ur9ePmqNGLPLD8GklELglU3DRu145nNYP6E2Dtx4ebZM1nObJKkTa9fORF4ZvlDYzGCmhLWYZVnVkae5VJmQ9ze5Zv9a71GsQaIbYTVZVPtguz9TGXo9eNCk6uSGJhOX9h8rBL6oxR4/VJVeGIncQ1ixqYVW/ZiwTq9UGe/58tXEjj7mRl464d12FtSrhzjvvVOFWRxVh/ChRmzPi3bvEdqPIosCkD4Ll7e7e8sxNnPzJAa+fnPMcIpXIq+sXvw6ZLNyv6Ulic8edI8cZWY59+4dr7v3LG/tCKwXyJ0mYWjdOzw5+zbqth7TuHcyb54FetHP5EbjnmIXd9bojYwHCoIG2Y8G1ZY8WwA3wL4HYCLou7UoQCd0KQojdWXvjgbd/5vUdrtLN6wO/KBH1oYpvKvLBzPhzPCA97SRbm+UEpx5Utz0GbyFMkxciQZNK02chVkLSLEvAfRMikSK0SaM+szxlSCeVRn9yuN4HfOsN6v/pzgedOEJNlDJkpN6C5wTg6S5lj1a5Y3fkRtYJV6ZhWezlTgsGtKJru7/rcIM1ZEEwXAw5l7WR+461mwbjcm/e0rx2CknWcVQQoA6xcbry3qFnr2URFAycAb08II0yoGZ4Yo3hvxPRGNGdl0FKTiQeX5EJI52NEs2CmHGaeh4fC3W9YKpdE+Ez9llg8tFuefYe3rY9H63Rjz0Be4/N/B6S7BudVJzywzBG7bW+qMz+Z27nqyP+oGWYrH4g270WbyFPy4dqfzWxhZjsB6Ht+v3I5xD3+Jl2as9uzznY8XOAzEIRO0fvHTmysfNcZ7ZuUXq3MLrDBjiqZcVYg4SSqz4u3v16qu77jn5zLtOrMBu4UhrtQBpdQ1PuoV5kn6JO+UE2bMPZhpS7cEntNNekhx7atz9TpbjRE2zLgtpbSd/b8jpfQoSml6yRWHKNhQ8pvkpAPY5wWSTUTz1+7CkQ9MC9c5H/zx3YWuUJ8oEHZSkMmLW/eWYLsdgp0qAdTuA2V42V44KAWmzN8AwJ2nA2jklAV4ZkWIeQ8qgTjuWOGs31dv2499GbSo9WgebVCFis1YK2eWV9gU7Vn7eY/lH8MVozo4n8MYPYLO88olg119Czze+a/rmVXDr6xTunA151jn/XYKBzbWZTWZn/tmJU5/6ruU22YQuyd+F9+3het3O+HauvqB+G6mAhZ+N6qTFbHRXUI6FUZhUXlxg3CgNGBOCXmJ785b79kmGqSiDzOWb5d1naRwm3ibgpLDIcsEUFZfUj8w6KzpGjG6NU2OZz+DCVNgE5R6cvbfnrseE//2lfY5KfwrRsSI97rGPvwFZ2Rz779lz0Gs2iqPXGCe2c9szyNfaioMiB1mvG6nlfs4a5VccZ2zekdK7fMQZRR2J5Zv2Ss15KvWGivM2Posf5WpXs5sRQIVCXfNad4zWyEs2qf0bxE4R89fu8unX+HBmolqra1IUFcJPFm7qlBp9vzC9oVf89rf8n6oY6srwoYZFxBCrieEvEUIeZMQch0hpCD4yMMPOgQj+oyM6t8e/GgpftkWnBAeBjNXpT+J8tB9D0faQp5sUd2yJ8mGGua15ifYV2eucQRKfnI477kZrmOCngs70o8ZUtYHdk6VR1QkgBr5wDSc/cwM6b5RoG5hbqTtic85DJux65b4GXQk21hNUJ19AeCbZVvRZvIUrPElUnAfXcvOWeQvxS+CwQmb1tZ+1TvywnQmma7ZeycqIumcstzHMxsdxP46rjSnD41q5aMrJ2yza9RWZuPhwow/XbwJK7bsxQ1vzHPqwj72mUWS9fpsi8Slfk23hb4oL1wdXlXpnSAcbTMzq+B3hfw8zHD3e96IIG+YcbjnH+RBCku4E4SyigSuffUH57uLODCFc/r2J1XPrKs34UC588rOb4W+ptYvhsL85Pj1S4fgI5P8SvPoIEH97yeBNz+1IkGxdodFplm/yE2SNu7hLzHqwc+lbR20r0mmYIS5dcRWsAvs1AGV4n/S/00P0aoc+Tlx/PuiQfjd+E4Akn1W5f9SlTLLe2YVN1xVqpAHI4DK5awIbmU2ue+ZA1thbNfGgXPHOpsYVTvMOGAtcjyzes0FojxB8c/pq1zfVeB7Rkjq+btR1UOvTgi7Gr4AoDuAxwD83f78YtSdOhTgyFM+780HEsteWAtM1HmPmYCuxbeBLdzJvW+ccBHiHqnmrTmrdzqfUyG7AIC4ojSPCHFCUnpmJaGMTBBOFX7T9vcr5QtaqnmZ4lWxRfqLn4LDYsJnmSahKiOhGif/mW0R7qiu3zrW/d3Jo7G/z1q1HT3+OBWfLfGSUvD7RbGkuGsUR9Bg4PkUyqEPmtXx2jQTCeoIrjLPrIiKBMWu/TLGSovJcsyDn7tC+xjE7on3qCJBMalXU3RpUsvZ5ijZign6elv4Y2Ce2f0lwQRcq7ftx0X/moXTnvwO/5m9Fuc/Z0W6sNBLVo6kZp47Z3bajaN8253Uq6nru6o0WBCCIjL8HrdsLORKnq23lrZwDt8eBEPXu8kLhCJ+2pSMyPlx7U68MzfpYXZ5tCJ+51LVidMhgAo6r1+Y8cL1u7Ta5987FvUkA1tvE5RqGed8jTbU31ASI9Y8JBLnbbcJqlrW84b6q1Bir2dJbgtuzbI//uOcfoHtsOfIlCp27Jrt+3HW09Ebr4d3bIC6RbbhjBlZFYNatdb4vUcMOnN8ablFAOXxzNLkmGDw9wTz8Fey5Xv7/B7CCK8DUUaXEW+qDE1iqpac0dmLlVv3Bu5TFapGRImwq2EPSulFlNJp9t8lsBRaAwFJ54D61Vkt8QzJCaDU51Ex0lYlsEuqU8PfEygjIWDgw77CCPQ6E5y4oAaGY1F9AR3wTkgqa3SqpXnKKxIpTUz7U6wnq4L43JbY4dsPfxSOsMC5FtklSbap7qfqliTJfPSV9mQejdXorF+s6AVVbpOsbp8f/Pbix0MmWQlZ06J9LJUz7i8tR7tb3sdfbbIK0fAjG69/fHcBet/1kUfw/HzpZlz/+jys2LoPDwaMpWe+WoFy+wLY21mRoIgT4lJQ2D1VTQ/XjO3o+s6OPefZYGHzuL9bmTdb7dq6TJgRz8UzFPdoXhuNavkHOf31tD6u73k5qalFQUf5jTHZT3GJR0ZsQ8wLTFeQChPVpNr1qL9+6dQ/FhWiGCG41h4DXsE/PRdtqrmvlkcvNfC3WyWTqJ77pL/pZZK988M65/OGXQeV+zlhxgm9tW5g23rK3xKUekKFecTsnFnRQMtI4XSjq4DkeinLn2fjmZXc8oPlLaZO2HKuraw/+/VK7b6EhehtVPFSJCTXBDDPrPWZH778WNZJu5r1yw58uHAjtu1Nsl1v3HUQs+xoQP6esva0DVdaewXPHUkCKM0GAyDK6DK5I8lm7IaYqnXus3opgFv3qtnEGfjr63r7hzgzgpSfykRYZXYOIWQw+0IIGQRTZ1aKJFtmuONCe2bTDNPJBtikGFS83q+cCS9siPfIL9xT5/57vQj+B7G9dcJq+PaCPLNsP5GAJwgdbv0AbW+u/LwIsdtMgNDJ7XM8mdRfYJNZlFX3U2V9ZkRefh55b8i0+1kHEbxRzwd/+BJAZUuZVZxD55yEECxYtwsr7Xyz4x5zC8Cid0XW5Ns/WJ4xvpbu1IUbccHzM/Hxok32cRJjH/f5nimLHa8QE7TKExTxOHEJrkGeWQbGPKmbH79w/S7sOuC2nqsMjjybsU6Uh/geNartVn7/cnIvPHG2jmdIb36T/ybzzHr7Lr6SMsNtEL68cTS+UHirVVdAqRXi7drX53JZ2ok4DuIxgt+O74RaBTmSMk5pKuIpH0dSNgLw9VjZM3QTiKVnYNiyp8Qx8AWhnMuZTTdtIkH9c2ZZSK8oJrH3XzZ2VVhvh7OyaUQWZqzzbJlRgnF1sMgGv5I2ujiqW2Op8i96G3XYnPl9cmIxXwIoSvUIMZ/5ylLYt3ElKMsTFKu37welFP/lDCKOMhvQLLs2bTK/IDZjFtAf0Vr7yky3IW/Jhj2efYjCu+yUdbT7ohupN1sjVZC/ugNlFfg2A2SM2YS3NoAEhJD5sK49F8B0Qshq+3trAEsy173qi2Stw3DH+YUgyJCJMOOocoMY2BUFTXa8QiOCf8nF3zftVluBdSY4z/kCDmFWXVm5DHkfrP+6ObOJBA3Nmqv8XauVaMCPRUKIo8zq5PbJLkPqmJV6ZhXKrOLimVJT7vPueMms3G069VMDtFnd++/3HPmf0hX+KKWByownL1LzlMfaCuz0yWM8ecxiPigvCK7Zvh8vf7/aMUrxc+DfP1vmOu6rn7d6rkG8dWIJjUSCIifm9syutPvndyu+/v1o1LPD83SV2dveXuDZVqoYZ3ykim6UB8PbVw5DbcELdNoRLbWODTpVWCFOZtQLMoAEnYECaFXfCgG9dGQ7PPXlCtfvLOdRhu8FQh0/ZYcJieLz5b9HbT9Knc04Pc8sH6kAWGPO5V0MaGPa0s248PmZ+PdFgzC8YwOhff2esfdhxsrtOLq7f/42318ZKAJyZm2yJdHoz8anLKrAaVu4JpabGbflmHKXFzN5viCwOrP/9/lyAEm5KNVICx5PnTdAcU53P1X3lI/W4t/h3LjCM8sdqzNH8jJCt6a1sWhDMkXoy5+3OsZQILm2RsVS7OwX8Lt4r1IBHw78lw+Xun6rW5SHPaIDRhFm7KSohVz3X5u1BkM71McJfZq7ttcqyHGMJtb4jljYr0TomqWOBXAcgAkA2gI4EsAo+/MxGelZNQebCMMSX4QVVsvKI15pEb7PQaD2/BXkoUtGl0q8Lz4kOMxrI0OMEKV1P7mP+3vQ1bOFUZeAxVNnVuGpccKMKdUOpQ7cLwva7JY9JRj/8BcYcM8nru0sx+/ITg3xu9fnYcA9HwOwclXbTJ7iysXin3mYRaR+UR5GdWok/U11b1iuYRjPrOjVYG2rFnC+BJQO/PZyeQDSfJ6qXGDrN+tHMd9NxzPLR0e8PXed53ex0Dvf4oi/TMMTtmAHuEMCZca6hUKOtDhfMOVl14Ey/O71eZZnlhBXjumHCy2+gho+Behb1C1EoZ3XqqvM/sDl4otobHtSf9XXEjDGdGmEtg2KAIRXZvu0LA61P4+gsD2/xy0NM5Z4t6JUAG+Z2NWzTV1WLJwxWEUElvRCyaIwKinMGGnmzDIvj4JhPEhgvvD5mQCADxduwCvfr8a5XMj9ez+qc2RF8PPu8i3BuX1+80+CauTMUoplm93nSXpm1ceKERYsNDYuUTCoZ4yowY8pICkXBdV/TgfsnWfnVZFO7SmxrplS6hprOfFYsk4xt3/dIsug1rJeoe8cxpiu+fn8vauHY8V9E53vHy10c8gkw4z1oK/0+u8XpgqDCjsV3A8A8MApvQAAnRvXwpB29a0+sb5x+xEkx1oq7z3z/LuIPqn04yEBLWmcUvoLgLUAplJKfxH/MtvF6olUX4SwLGSZCDuM2lbDBIwgZZZdi+yS+NvCK7Prdx7A/R+ogwMIAVrXL0KxD3OvyG4XNCkyz1GBjyAsa48Zh1XP2AkzTlDt5yru98PqHa5SQ5motSpi7pqd+HmzVygZ2MYKd2rToAhvzlmLrXtLUZGg+HCBtWjx+ab8Zfjm7HGfaxfk4INrR+D8oa0V+8rbYZ5ZWYj+cY99jWe/Xuk5UmXZVi2Mfmm/fvvLwIedp+uZ9QthV/2ic0pe8JN62YVtfs+YV2Zl13vX/xa5Szn5KOhvzrHIvuKxmEsh7WeHD+vkuAE+HngNsNMyT+oVo9sDsATEPxzbDYB+zeookI6tUvY8ZHmHmWTdDkKY0jcqz2yhHUlACKk6Ql8aD04W3ZHDjbmg9A4eObEYbn5rvhMlsX7nAdwlYbTWgQ7nh99QsqI01L9bObMUvxFq1rISMDk+712JkGfLSgOyQ37atAdv22GxrItaT0jwsLN3X4woiBTC+rWvpBw5MYIZt4x17Zb02rkPz4kRJzeZl5f6t66HZ84bgJsndvE1+D10Wm8Aybm9Ua18q3Ytd4yYV8/aCw4Ldv8Pgm7ObDqy9Rk++afN7NrG/bi0O0eOEMOMY+n3JUhGOVSgvYJSSisALCWEtMpgfw4dhAg74aEryGcSkYcZ2x3XDTOW3QN+G2/dC2LeZRNhGG9z0K5MGdX1zGrXmeUo/3WFQX6/q1/5ASf+33Qc/ciXWsdGBZX3kV0Pr7zvPVjuECDwllxZ/pFcKUpu7NS4FhrVLlAKJKpbyMahTJCav24X7n5vkcN4zOAh0GBCcMBCoSvT++2mKpeQClI5PuwhsvsqGhb82uTDcmXvwfertmOjT2qBDDlx4hpvpRUJNJUwMKug65nNk4xFdiy7Ln7ekOUvZhpB85u/J8z7m+iR+XnTHjz8sT9RV+CY8vm9Ya189Y8CCIjv9e7YZxlh+PXhxL7NUcTlMydzZis/JC/Vt982vQFIPkPRCKE7V/FlRmas3I6xD32RYq/0OD+CUjD81nbGHOwhgLK/+nkTS8rcx+wrLcfnSzfj92/OB2BVRLjutblOP6zzBY8RArge5KL1u7GRI8w6Z3D0IrZ4j/aXVqBGXtwpD8TAlFnR6JkTJ65oBR7jujVGfk7cV74rsiNcmCxQm0uxOKlvc+kxjmdWU/mMjs3YvdanAhaSLkPLeoX431XDcefx3b1hxcK+YlnHMFCRSjFkw9GRTYQ1B9cFsJAQ8ikh5F32l4mOVXekSgBVIgn/+GSxVaRbnksaumuBiHrRZi9ioPLn483iX+bJb83Hl3a5lyASJmbZ8tsrVf1AW5kV6tKpWHQdlt0Kqt0nfr//zVsv/EYxbYlOWZz0oBKCCLEUCD439exnv3MWNKUAr3ntf7bDdZQCieIm5mjkzIpIshlb3x1lVjEEklEGehfjtx/fzXSVWb/DZYpYKueUjW9+jGzdW4LPl25WHs8LnqoohunLkmQVYvdkBq6YwGb8zbJtoQxcsrFaWp7A2z+scz07WX6so8wyQjTuPjOBuSA3i57ZNMKMZcYFsUTQ4o1egpOosOr+SZh567hQx/g95+te+wGAe31ozBFrEVHzgOx7dmCFGad2bt6DmVTkks8tiABqtaKW/Vc/b1GGrOpApyyen5JtEUCpQWw2430Ccz8r8eUnP5RWuI/ZX1rhyd1mYPKezpTCvMUM36/ajmF//sz5rhstAiSZnv0Yn4Hk+E4SQFk8AmK03Fc/b3Htx8ATQKluuJ9BrobAmdC5cbJMWj8FMSiT8QKVWYc8yX8/Bp15X5cQbfYvO7Bss/58x8pP9mxRx3XvHe+yqNxyIc+b96gNuE+d21/5m5LW49DSZfUIoDjcnpFeHIJwCKBCHvc3gfAEgJNPJqX0zoC1OFMEUIE5s06eofc38dLPs2s3vnPlMN82k4W+1fvsOlCGb5dvw5D29V3HqHBCn2Z4Z+563xAlWR+uevkH/P2svsoFnFd6dRmNVYrGwbIKTF240ckNzCRkkz67hTlx4lJIFqzbjS5NrPwZ3jPAh+X6WQz5X1jYpkqZVbXCLMg/bUqGRm/ZU4KrXp6jPC+7HtY3JhAqQ3gC+hAG/DNON3qzwodcLKq1TcxpBdxj5Lxnv3cRf4jgFUKVweF3b8zD2K6NUFyY5xkvByXKbE6MaL+vMsgEtUc//QmPT1uOwrw4jureRBklwrz3pRUJ5MaJa8wctMsQ+eXuRg3Z67J8y1789eOf8PBpfbTztxlY3i9DrYKwYoUXqXoNKBUIaoj/Grxpd4l9viT4YUJQdYS+dNdldjhbW3KE+dfvOmeslDOdPj5tuXS7LnQMikGlovw8cjEC7BZyX2vkxvHCt78A8K/VLIYZVySo9B23SuNZn3UeUVwg3mJtM6iMijK8fPEglJQnAqPenPWLM8bGiFeZZak/stSNpC4rv0o/L7dorPuLbYgG1ErwGpvkLSqWYga2m5/yzUi6/JBIUJz8xHQ0qJmHWbeNBwDs2l+G3nd9JN2/eXENvK2QV1X3lo/qm/ioukSWzCijYkg+VBFqdaeUfiH7y1TnqjMcAqgIw8eCInLC1EzzQ6bCjOsW5vnux65PJmyrFjRmSVQhefv9L+rMp/1rbJ03pLXz+aFTe2PeH4/y3V/Wh7lrdmL4n6d56mgyJIuxB+ecBdUxfearFa7QpUzCr6u5sZiHxIcJFzxxjIwASk4ElvzMFiPVoqQiNGGL7ocLNzoehytemo0ZK9U5S2KB+yCCN6efEQjC/HVEUcpC5zy6x8jw2ZLNqFMj17FCA+7ntiKgoDs/XsZ1a6zcb4XNfCl2TyYgx2PEI2yFqMohfc4bdlrv1247NO+A7f2ZfEwX4TzWsWXlCY+geqCUeWazp8zKhJvf/+dHvPfjBsxds9PXI/HgVG/4sLjGpVr7nL83UQlgRLMt/pLFZ+38pLmWqPDoGX08YyMMUlGs35+/wUN+VFHhjRAA/N/zG//zY7gTa0KnGkOQZ9ZPxIoR4iG04z3JvmHGEsVV9PAClneZGdd1hm1pRQIfLdqElvVqSH8PMxfkxGMoys8JdBR402Ss90K2dso4O/hwbtU1+hkLeWW7IDfmCuMP4iMIzJkl7v9BYEqe37OnlOLv05bhEx9yUWak52u6Lt2k9tJ2aVJLmSIh8y4Tkrw3r81c49QtB7wyj8zAEBRmnMkyf5WBUMosIWQPIWS3/XeQEFJBCFGb2A9jpOqZ9cOiDbt9w/OiIt3Q9fa+NWctXvx2VeB+yYLi/hZ7kSmWh+rF41lQZSA+E3AzRc6cTInia0LmxGOushpBECdjMRfH2c9+Gyuof2meigRF25vfx4NTlyoX+kc++TlyVmoV/CbFeNyyQvOGFkYWxC8mfBO6ozjuPNtwnll+9817DoJSipkBddlYV1lOUcJRZlVHJI0Nu/aX4YGpS/xLAUk6+9txnew2+P3SVWbVArHqOaay6O06UIazByUNQHwbQcIL7/1gpXFkUNWIlClT8ZhXcAvzfsgEHzHUfG+pNTbqCmRz7NjSioRH6BzTpRFq5ufggmFttPpxTI8mOKZHcDkTP8jGLFNIt+4t8X3/ZJEeFYKVlX9+V4xqr90vVtPX6qO7k71TZG+OxfxXs4uHtwXgHp/8fGKVdolmXT2hT3NcfqT+/RBhkVGF68sVL83BuIe/cHmsWWSQOBYrQ7TVCTMOypn1e403BBh0xfBXHjIv7IFSby3Yrn/4kPsWPKessMuCrdkuz6uskYGUA5HUiEqMAO0bWhEWSzbuxp8lpJqxAOXITznMd4XUuvcL4gsILiWmt58IP282W3N/+/pcn32845Lvw1E+hlgRKsWTzUXPfr3Stb1QGLeydyAoTPsQ02VDe2ZrUUprU0prA6gB4GQA/6dzLCFkAiFkKSFkGSFksuT3kYSQOYSQckLIKWH6VRWRzKGIVqG44PmZaDN5CtZIitBbgmr6I1S3y9e/Pg+3v7PQtU2WQ8B6RAhw/0k9le2xrgfl3PFgltL6CqFXRVoAAI3rFEgnHA1OilAQJ72DAZ7ZRMJNAPWrx79x7XfDG/MAAH+ftkz5vMsT/iyPUcJP2cmJxVBWQV01eZkHVAxzE9uTNctvCvKsqQvDu/fxC3l1zmXfzH98sdzVhrI0D03+v2fKIjw+bTmmLlRbeWVCardmte0+cp7ZtHNmxeOT/VfJlame8qoxHfDnk3t62giKVuGFSL9yIWyeEI14MlIZmWc2zOsh9WA4QpT12367PBEr58Mfu2LLXrzw7S/YIZRsaFKnAAvuPNoJvQ/CE+f0xxPnqPOjdCBdk+xrueKlOaHXENFGw0eehLGv8gqs2MOXLx6EL28crdWOK3qD+BNAMSIa8Ri+H5kwTKeCVDyzDBTUUSLY+yEK82yeGaDIYcwEVPwRPPxJMWlaRtv6NdXGsv0SxXWVIneYIYpAvLo+BrxUwd75299egJ37S5FIeA1G7F2Y9Lev8S87DJsZ5hrUzAsk0/RTSgkhuNmOShBzrFXHsa1BMvSZAxlhlt7NL3fGf/D+fnvI+Bz4vooEg5drGPbES1Xd0ouHt1Oel2He2l12G+GM/dUVWsosIcTjUqMW3gZwtMbxcQCPw6pJ2w3AmYSQbsJuqwFcAOBlnT5VdRTm5eDK0e3Ro3mdjLQ/fflW6fYorC06U8LrM9d4tt3wxjyc/MR0jHvYzaZLOaFPLOLs2s/+L1vfPl7kn/t52ZHtpNtlhb55yOjwZbcwndsqhlIdkIQqAVyd2YS7zuzcNTtd+/33h2QdTz9hMVueWT/kxomdUyTxlnH9066lynv4AiQHlVDuzkGlOKjwlPMQb2XSM+u/UFBQJ4ezPJHAyq37sGj9bvyybR9mcWNP1lXWMq/ApmtoqUiofTthC7MHITcewzE9rVrDiRDPjQ/v81PemRIrCrsyz2xOmp5ZmQLOCNdYO8ywVpQvWs0Jpi3NPBFbOuCVirBriHj/+ecXRjFezRloRUNVUX4OWtUv1GqHP2eMEF9hWDaG+EddBaZQBxYpTXrHA8na9GKeHXv/dcpEtRPypFMF64sf/Oa8oDqzInjvPwBlhNWuA2XYWxKe2CoK58WxvZoF7nPN2I6BfCE8WK+mL9+GP3+41BWePbaLVaddRjx11ZiOWHzXBBQX5mGJTeymDjP2v/YWdeXvb7qpeNeO62i1o9kMC3G+dKSOchk8dzAkEtRVK3dEx4a4ZaKlwA/rUB9HtFGTdCVzroPXqNuP7YaaQpSj37Wr5oyoIk6qCnSZGr4H0I8QchK3LQZgAACdxLyBAJZRSlcAACHkVQAnAHCKk1FKV9m/RewXqxzUzM/BjUennh8TBObpEi2bFZQilqYNWWdxuO+DxZ5tfDmT3QfLQGBNkE7RefgLByrP7N8+/dnj0RDRrkFN6fakZ1Z+4uN7N3PIIACrlhzzfPJIR9AvFYTrnfvLkJcT84Qx8QRQC9fv0mpbZbVuXlwja+U+ZH1gZ2ZkF63qF2Gx4AF1hc9qnsvlmVUMphgJyLNyFbvXy9sSw+GCwozZQiHemtEPfu76vur+SdZ+kjacGnNcf9MvzeP3m/xHCuC9H9ejUS39UjYvXTwIQHIc8E0H5VSWuUrzWLl9jBRq6nUjndJTKmVW9jxjMs9siNfDL4Run+2RZZ7ZIsEzu2VPCe5OsQ5ntsALZu8KrOhB4D0UpeUJ3PzWfOd7mPHKl7OIyhAXJChLQwWFYzyxDE7IZjo9C490yB75y2Tvhximz16boPxLADi+TzM88snPKfeHQcUfwSOwVFSI2yKOK9Wc1vvOj9ClSZJxd0yXRvhsiTrFiyGKURu0bo/o2ADXj+8Uqk3+simlTs4skDQ+1ZakgcWJNxRbHWbsP25YpJH3HKnftZP6JZ0juoaEgty4s+6qwGQIvyZFZfaVmavxJMd2XbMgB5eObI+jujVBo9qa5cREz6zklvZqUQdLBFmKgGBwu3oOgRcPVUWApPPo0FBqwwbnHwfgWPvvKAC7ARyvcVxzALwrb6297bDG8xccofxtRMcGvscW5MZQkaBYbudfMESSN8u9ULv2l0nbDGLc63XHR+h5h8XqxocZ+4EpAOL5ghRZwMrNlIGdU7U+TOjuzj975fvV0v1UE4IORKX1xe9+kebjOKV5EhQXPD9Tq23ZQl+nRi7KE4m0Qp4qEhTPfb0SBzXKLvhZznPjMZQpGHRdXjfHlUk9m8KCkXOphCD+vJRSLcKaxgJxAxujyjBj7r/OY5B7ZplxI7kt/dI86nxs1dxBKcVVL/+A0578NrB9FlrFwveY8Hjv+0njlyx8j4crzJhSxGLAixcNxCuXDEbnJrVw9wndXf0Vuy17V2VsxmG8KLwQ/PfPfsaTXyRz9Sfbyttym5CqKD8HR3fXz5eqCuDv2WMSRn0/8MKQKPCnOlxT9XBR6o48CHIyyj2z/LmTObOsT+yVrwzPRsosz+BzZq33SywjxeZFVfjlVaM7OJ9livXFw9viwVN7h+oXU6QW3qkO8POd80J6ZnnFqW5hrq/iuIQrMcWXa/JDVJ7843qrvbPnDm4duj0PqZk9rwLAzRO7oHfLYgzr4JU5pcagFMKMAS/refI438N84SZuS70dEarUgo8WbsSKLXuxYN0ul9Pl6S9X4BdFCHqbBkWe1BMRspxZAuJ6bt2aWsaAI9rU80RPxAjwwq8HSd8jkdOAIek8OryU2UaEkOsBLACw0P5bCssre26G+iYFIeRSQsgsQsisLVuqduhWEHq1sEKQZUREdxzf3ffY/Jw4nvnKW/MsCoYylqx/oLQCve/6SOpV0LHeMvDCgK9n1v6fysulJFXyIQkicDPwlZRX4IGpS6XtpHNfxdIADJ0a10QTbpFkfQ0ySLSom2RBlHWrTo1clFXQtEKe3p23Dne9t0jL+u6fM0vwzbKtUmZIl4dUU0ijFGhcOx9XjGqvrPMr1oT1O+/2/aWBntm/n9XXIwwEjQf2DHcpnr0I6fU7HqDkb+kaq/zCdlXXFIad9m9n9sXT5w1w6gjKhmDQJZS6PLMUcUIwomNDp3QWs/CzecKvzAWDlM04xOvBC2oPfvQT/iQQpFBKcfvbCwBYyux9J6q5AaoigsbVrv1luPN/C6W/8ceK71KqwzUqwTTI68PeB76fYpix+FrENefpyKEIM775rfk432bTVYHSZM4se7/6CKRa63cekBKlMRTl5ygVEgDo0bwOTunfwrcfIg6WVSAeIy52WwA4Z3ArvH3lMBzdvbHzbErKKzx8HEF1Znm0rl+IH9ftdG1jintunOAfPrnoKq+iiKhKJTJiMhmO6h6eAE58pqw0DwB0b1YH71w5DMWSkGuV3CSDX/QKw9e/H41Prj9S6Jt8Hb9lYlfp9nl/OMop7SOmFESNHfvLHOLGH9fuxKUvzsaYh77AsY997TLi3/v+YpQIhv/mxXK2aj+I95u/ptycGLraCq2HOZpYMrn4HgE+8rS9OevzWIagq5HEAdSU/NWy/4KwDkBL7nsLe1toUEqfopQOoJQOaNiwYSpNVBnUr5mPr38/Gv8nmUSDXsvceEzK1BfFuGQhzGzRe3mG11sZTpm1/gddU1lFAo9PW+bruWFeGQAumvPdB+VKQ9AEx+d5bN5dotyPTSKpQKbIPXPeALx/zQh8/fvRzja24PiFfVBKsXZHMhxP5Zktq0ikNbnvtVl79yjuq7tP6t9+3rwX2/eVYuXWfZ7f+EmUfWSkBVa73oYpKLo3q4ObJnRRKutiGQLPebl2/ztnXaAyG5MYYdhCpiaZsn74niv38/YP4aa8ZIhu8iSysRQGCeq+L/x1Ka8lhCGnKC8H47s15rxY3mcksv2KKBOUWdE74Bh9HEUkOMw4XTbjIK8DX7KjTf3CrIX4R4UgA+Ijn/6E579ZFXismCKSqhEw1bmLUkHADQoztvvuJxQ7ZI5Cm5Wgy0rntFe+X40vfvIa9j3zp30BLKqqMxdG+9BHS/Gf2WtRkaDKcNGaBTmY2NNSpAgBpk8e4/pdJ9f2VEHZLSlPOMaBQW2tnMIFdx6NO4/vgT4ti5Ebjzlj6Nb/LsC4h7/Ezv3JUigU/oaPlX+aiCnXDMcrlwzGG5cPcfEjULgVqQk9mmBIu/qeNl69dDDOdkiG/KEzbP28rgxB+adh4S3D5B3nXSQyzk+cd5qx66tIu2R97tuqGDcclQyJblG3EB0auVPCVMNG5ilecd9E1CnMdYwQ/AgXa9lGBUZYJUbTifeBH1tv/mYoWtbTy/Hnwd/BsV0buZ5RaXnCMRiIY141X/JkohcJBhI2r+mQsFUH6D79DZTSuyild8r+NI6fCaAjIaQtISQPwBkA3k2514cQWtQt9NBsA8FCQIzILWFRWFnYpMAWejEcCXBPjsE1Ua3/hBBfy+VXP2/FA1OX4qkvvR5nBp7pjy+Xw5QvEewWySbanHjMlTe0R9EG4F2Ew+A3Eha7Lk1rIScec1nY4oKQLoMYVv7TJm/Nzrwcq7ZrOuE77JH6CZVlFQnsOViWssDKX6df2RoRQcs867JqXPKnalS7ILA8RIx4LaYJhSKVPId3u4wE6PFpyzDgnk+kBoGkp976TgiwdscBTHjkS+/OmkgkKPZzxCa8wKusM6sxpzAFVYchcqJNCsWjT8ti3GUbqsQwY1ExZMJ2hf3cxLVYRQCVjoAYpJyu5/I9VfUbAWgz8mYbQXO43zyQcL3H7nZSDcVN9UmJpacCPbMSoxSvABN4jXXsXmQ714xw2myn2z7A9a/N9S3Vx+cg8z29ZmxHXDO2o8uLyhtjPl4sZ12vlZ+DTnbERafGNdFM8DzpGHDEfUrLE858/dwFR2DaDaNQMz/HVUOc3f/py7Y6fT1YVoG/ffozDpRW+I5NQgi6N6uDIe3ro1GtApeslUhQjwwly20c1LYeYjGCr24ajY9+OzLwGoNws0atYR3DQBiIzocE9VY7kHndl3LKbI08qw1VFBxvBGHVJcZ2aYSrxnT07VtQqUL3NreRlH83M1Wrm8kHYu6wuO7w+d+6XllRVmHfJ3RvglGdG7mUVkum8zfgA8Cz5w9wPve752OUJyh+M6o9bj/WzbnL7t3eEv+0n+oC3TcmLTMRpbQcwFUApgJYDOB1SulCQshdhJDjAYAQcgQhZC2AUwE8SQiRxzQdgpBNXKUBLH8JKs8TjWKBZS+tn1LFh3gG5VUyC5ClFASfX8X2C8AliPN9OLmfXNlkSog4CVw0vC3+enofl4D74EfyEGO+nVQgY0yUEU/ENDyzovIkCy8rys9BeZphxskamuo2LntxNnre8VHKHgr+OnXqDVrHBI8hJqA8MHUpVkvyWPh7uGNfKb74yZ/YQyYssXdDrTAnt/v194GpS13F0Hk4C519rhr2Yr1k456UlYQEpXj2m5XOd76ZCkqdWoM8dML+mVFGDH/i7x2lFIkExUuSSI+3rxyG0wZYwTvM+3ywrALrdhzwKCRsTLJ+ediMpaV5Yp5wtlRz7WQ46q+WgeHGozu7+sgjJ0a0GXmzjaPsHN/hEm8I4O/1+GzJZkeQE8dKqqtRqnNXeSIhlO8K8Mw6Y4f3zPL9kIQZc0R92QRBss5saXkCb/2wzsOtwOfEP8inzNCkEFeUn4Prx3dSKkwyPgd23PG9m2HKNcMxoYfXIJWKMsvCjFn7okIVI8Qzxx4oLccL367Cwx//hM17SkJJp67a5vAauf3KrbSsV+go8yrozCk6RjWdkN0wkJVh0unrH45LKkDMgSFzbgDu92bbPst7rlMpYI9CmdIhhuLfwRoZUmZV74OoBPIlh1QpUCLYPWXRROxy2HzLz4PLNu91Klt4gi64W9W3VV3n806b80Y2nlgTJ/3fdK2+VnXoKrNj0z0RpfR9SmknSml7Sum99rY/UErftT/PpJS2oJQWUUrrU0r9k0YPIci8GUGu/3fmrsOTXyQ9mEUaCqgumFWJX0RE4TkvhDLrJNMTvXXHTwBpUCvpmeUtcXUKc11hx05bdlMic+Ptx3ZD8+Iarnuvw1YYFfzCtFdIQnIZVBNrPdsS2rtFHfRtWWwtymkMBf6ZqcDul65QJ4Y6uTyzkvEua7Ui4fXUieB/H/nANGkbDB8u3IjXZ6317KNqz+kbdf/3nCPkeygLH2ZRDOzd470KqZI2JKjbCy6WKerdohhf3TRaOCb4XIz5U/Sw87du94FyLN3kznnj4QhL9r244qU5+HTJZo9iw4RB9hzFey27N/GYV0AMqlOcyr5+tRjTLUGRSdS2y3KoPAoFOf6CImOyF/PGUg8zTukwj6Ad7JllBhH+3IowY3uzaGTKFphivWyzNxoHsITrtje/70Q28QbCFVv3uTy1qaBmfo7j6ZSBvV/f3jxGGYEgzqV8mLEMRflxj9Iw7uEvcd/7yZz1MEYpcS5h/RHnWj+87VMSR6crdQuTMoyK6JNXPlulEK7qbU+ILErovWN8acl8W95SySD8vWVjQawpK8N+lTIbULcWcMsIouc0HfDOEaZoiiLKeYIjgR+n+Zohz05Kn31PmRzAZFtltQThO79fvaI8DG6XLAOkkpnYWJelK1ZHaN1xSqmX79kgMsgspEGeqjdmuwVw5hGIwlrMvCu80P/Vz+66tnyfDwbk8TkEUPCv+cegWpzyc2IY0yXJEip6C6ZeNxI9mtd2kSewtlTW0CA6+XevGobHzuwb2Oco8d6PG5S/qXIm2bM6oU9zR1EuCRG6K4I9Mx1BQddLOLqLO8c9Fc9sBVXndDEEjbGKBEWtghyM66rHOCvegwouD0X1vvHX9s7c4FInsjB5dtr9dqQCv1irBAoeuXGCy0a2cwlDCYHtdfOeEicHrazc8uaLuT6ysF1R6XnszL648/junnwo/lnsLyv3LfvCyucw4YEZSw4IOfRizqw4/mSRHZZn1v0cw5C18GPulP4t0D2AEEYmPJylmXdXGWDjOVW23LU7DuDxactc4apAOgRQqWmzZeXUzXAqTBWMdJEhOYaS2/h3moB4PbMBBHOZAiGWEDvu4S+kv2/ebQml/5q+CoBXsf9h9c60zl9LUrqFBxvzTevUQKv6hejZvI5nH/G5lkty4nnUqZGL7ftKsWDdLuU+qRK5gXqN3KpaqDxE4iweOmMiNx7DQLvmaLemtbH0ngmefXh55f1rR+D7W9LzJ6XqmeXBjI06vA1nD2qFk/o1x/lD2gTu29y+500FIlS/cVHTruXNk2sGGdzCgDd8svdINF6JEVW7DyTXqaBqH85+Oe57yiJcmGdXn3vBvd+fT+7l+i7zzB4ivE8OMpMxbRAK/ERzQh+LHCCIJEVEnv0iR5HLvWnXQZRXJFzK7L6ScmzcdRDLt+y1z6fnmZ2+fCsW2TWxdOdOlXI0SCBnEHMk6hXl4b2rR7hC+VhLHvY3Z7t/p3q1KNYibMgWmBJzZCe3YshYc3NzYs7EJXpJeAxtXx8NaqprnwXVUeVx+zvejADZ/Rbp6fnxpZvrLSMECoI4nlgeZr2i5DsmC69lYOdj0Q+7D5S5mLdLyxN4YOoSl2VW13PKnpVYgxdIWnpZ3U4+jOovHy7x7C+CUi+Lb0lZwiWsL1y/G33u+hgrtuzFxt0HMZUr+s7w9bKtnm1/Pb2PUwIJAIoL83D+0DYSNsbk5537y/DE58vhB1n9ZVFBYtfDSg6INhuZsJUTIx7hLWU241N748S+VmW5U/q3wPlDWrv6D3g9gn1bFXtylqoSgoygQaP5ic+X44GpS/G3T93s56mGw4fxmvMQyb9qCuyeHqFeYpQSUwSSnA923yorZ5YrEyTDPjsFZ8veEjzx+XJ8vEie+8ojTDirjCnVry02X/3f2f2cbTIZwE9gZ4a805/81sWXwSOMUcqV9gAuVcv+d924jrhiVHv845x+3oM1oEumU9tOPapdI9fxzvVtVezUP+XvSc38HDSqXYD/XjEUb/5mSEr9EsNeZQRQgW3kMsUr2NuanxvHw6f10UqrGN+tMd67eriHUIyfQ9+4fIjDqQAA7RpYRlPe8Bpl5EtNznDD1qMgGWXj7qSHUyVvisgVopFEz6y4np5krzviPCBeeuv6bnlGxhi960ApNuxyR2tsU6Q8VQcYZbYKgA8BeejU3ph63Ui0a1jT5wgv2LsTRejTrF924J4pi7F6ezLfMC8nhsF/+hRjH7KswrzlyU+ZPevpGbjq5R8AMAKoYKg8b6LeqbLE8RMAE27m2bkGImoVhDMapIvjejfzeAd0wO4xu56rx3TA0PZe5sWmtQucCdLvucRjBLNuG4cBretKf2cy4dNfrZQKbdMkIdmstmbtghwnTGdMl0bO72IYEO/wkxJASYayKv9jxi1jMeu2cd4D4LVAsnIvfLiXXx045oVjysjC9budcfzA1KUY/KdP8fi05fjrxz+5zqEDJrR8u2Kb5zfRW8srs//69pfAtiks4ZE32Jz25LeYzzFGMyxcbynTMjKI/RJPZ26cSHPBRfDv4m9fmxu4//7SCjzz9UrffZyc2QqvIqKCNIcpjZxy5p35adMel2GPfRYFK4IwVvbsgw1X2bsC6HshRUNCqsbVVHNmD5ZVuLzLfzrJ7aEQwy0/XLgRbSZPcXlZ+Gsl8Hqr2WOsjDBjP7KWeWt3ArCiXP6sYewCgMuObOfZ9uS58hI1snfo9cuGOKGyrYV812N7W3m1vIeWKVAXDmvj2SYDkzP2lVY4c5SIMEOFfwVlJJqFeTm4aUIXR9kMC10jJlMM2Rw6ffIYvHTxIOd30WMMWLmQ/VvX82zXgahc8XVmeajWUMAbEuuHoAoBIno0r+NbluaINvVwHuflbdOgCP+9Yij+kCEDIU9SeMyjX+G5r1cq13SW571ljzWH+DkJRIhRdIwMq47tzBKXjGvGWmRaYk9k82UbzpAgS2Uc9/CXGPKnz5zvNx7d2UlXq44wymwVAG8tzonHXJT5uojaWvzP6atw9jMznO+iQOv2zCaUpXF4EHgXHn5RYyjKlyup7MouGdEWd/+qh5KUhLfoNZLk0fKo7RM6dcvEYNbBsHjszL5496rhoY/rcvuHoJQ6C4mYc3tyvxZ49vwBGNu1kTNx6ZAvqBbfDxYkQ515iyNgTdoX/nOmeIijbP12fCenfzy9fqHgSXeFGYfxzEom7sa1C5SLiLgIJajl3eXD5lTkEavun+S0y0576YuzXG1ut8ku2GLGzqEDPwVHtPKnwtZIQFxW2b0l5Zi+3Ks4h0UYqz4r6bBkozpfNgzEnFnZnFdcmOsiM+JLfDCko1uyMhZnDWzlEu6O65UUgto3LMIfju2Gdg2L8PsJ0c8lUWHl1n2OpV80oLCct1TDj8MKtQypPpo3Zq/F6zPXALDCYkXhLE8wgO7cb61bSzYkx6aopCZLy1m90iHqyxRk7PUMt9l1jsPghqM6e7b14whkeMgE3YFt6+GFXw/EgjuP9qQenDu4NebfcZTLe8aea32uLb/3sHFtL1GiiDD8AWy+Hdq+Pl67bIjzvbWQWtG0TvgaoYB+TW4mozAehGbFNVwG1ZoFOWheXAO/G99JenxYiEq7KszYTxFjTfBGYBFsnouiqkZQdEbfVnUzxmDcXzDy3/XeImmEEuB9X8IYVwa2tY5lkWFnDGyJswa1wgVD2wDwygdtbMW5ifBeyN4h/gmwsXWhT/3i+kV5aZGGVjaMMlsFEAUNu6PMZshazCfyl5RXuAZ9SVkFZqwITqu26nUS/OfyITiudzPce2IPXDzCaxlWseWxS7t1UjecO7i1MuGfvdh9WhYHvpyEEOmCMbxDA1w60ltSJ1Ww+nxhINa23V9a4dybvJwYirlQ9BgBxna16nvmOrktas8ss3irwtZ+5Lx34sKk8viy58F7Z349rA3OHmTlCoqPIqg0DwXFlB83uAhPVJ5ZP3S5/QOcwxlmmGdW1nc/MOPA/tIKqZC+L4UwY5lAMaxDfcy5fbzHAh721WbPNmpmTEBewkIFljqhg/HdGjtkUiqwBT5ZZ9a7T43cuGsujMeIY3RgSKcOc838HKy6fxLOGNjKNX8Xc4Lep78bhV8Pb4vPfjfKkyJRlXD6k9867/iHQpg5U27DjL2rRndwPu/zqRnuh3SeDQtL51toXb8QNx/TBXkaTLLuMGPiUePjzlqbcherDGTrozhfDOtQH6vun6RUHAghnnButl2MfGKGAEKS6Q9+Br3zuBB+HrwyHMZgwsbVzcd0RdemtZGfE8eT5/bHS5cMcu3XtkERvrppNL64cZR224B+iTk2dFTjPDcewzeTx+Dqsf5lbXQhRookaPjohxEdG+K6cR1dDMcimJzD0jBSxYfXjXA8wVUFYgoFQ+0a7rEf5q6e2LcFvrppNIa2twyvjWsX4L4TezrKp+qdG9mpocsrLRtH/PrHHD/Xj++E+07sKW2zus9nRpmtAogi/MwR8DI0Ip/jQv863/Yh/scRuXy3YhsueWFWYBvsfRvQph4eO7Mvzh7UWmpRKlOUJRIVddVkxxQT3TtxycikQv3yJYNw+ZHt8a9fD9Q8Wg+PndkPS+72Ej2I4HOl/35WX5fCuutAWdIzG4/h18OSVjY+LD1Hg6iB5T+xRUcMQ2nGkTGI910l2BZI2A4JIU5YNaPrb2dbF/mxyhNA8aHJV748x0V4EkQYIkOCuvM+KxLW+8K/KjoKHy80yd6zT5ds9vUWyiA7a50auahXlOfxrP+yXc1yLYMszFiFq1/5wfW9YyN1mkOXJrVCeS7aSOoXqpAbJyhPUF9DjFOPWcFmDMiV2cGCQhmVis/m3nMGV12CJz/sKylXCjI7bHKwMKtK0+JkPU9ZiLoKzIMPBBuXHjuzLy4Y2kYpmIn44sbRuOzI9oHkcYDXwOfJTxOMKdmCSMIYFpeMkHtlZgjkQiyPtCA3hrMGtcKDp/ZO67wA8I9z+uGxM/u6GKGZEcjPcCHLPXzv6uGYfft453soZTbG2k2e8+juTaSl8lrWK/TkHgZB14jJCIx0S7ikC9F4a3lmw7WRlxPDdeM6+aZmta5fhFX3T3KVh0kFXZr4E+xVJYgpgWHtcCLhIg+/ckMjO8mZsBn4wC6+HVX/Uo2iqSowymwVQZcmtVxFzMPCCX2i1BXuqAMdkg6/EMG/fbZM6zyyd0hGKqFi4RU92Cr6c8beqpvMXpAbx3G9m+H5C47A0PYNMPmYLpHnt8VjRCskhmfYbV5cAxcOTQogew6WO57Z3HgMA9ok82cu5RTyZJixWpBkodznD22DZfce45TmYGjAhWfLwnRlYNZ50Tpdvyjf3k7xyfUj8dYVQwEAyzfvxeQ3f0RpecIVUnv6ES2V/U7Q8J5ZWRuxmLfGalCz7TkFTxUWvW1fidNeqmDC3RkD3ffhnEFyL4UKlFrv3GUpRBh8fP2R+PdFg6S/RRUuzHCZa+zGUF6RwD+/WaXcnykkLKRPNn/l58ZdClo8RtC2QZEdNm55dcJ6/z65/ki8cslgz3Y296YamljZyInHlGsAI5YL45rNjccwffIYTJ88JpT3hxemVLn8DMf1boY7ju/uS5QoO3euhvIgMquzbx4CqGzTGXPg53tdyKKgAG8ob828HHRrWhuPntEX953YM5JxPaFHUxzXu5lz7yhNKpRhSwb1EFiSdXI4GZhsoMPIGwYn9bOMwn4l93hMntAV14ztiPHd9Bj10wVvw3l15hrs2F8aOP+ly6CcCv5ySi88wRGGVUVcOKwNRnIEnD2b13HxoIQhJAsCb9RrJrI9c89PNu6oyzPLKbOKc23eU71L9Bhltorgw+tGpmUBZZa3GSu344h7P8EUrrzLyq37cNbT3ynJI175fk3K5w0DmXBRuyDXU5NOtTip2BJ/M8otrDNrKu8de+uKoXj+wiNwRBu5kPTYmX0xmvMIVhbuObEHLhzWBv+88AgU5MbB6+8l5RXOvWEW3TNthYdXvpnS71c/lYWxEEKQE/cyyPIelT/YbMX7Ssrx1JfLlYLAhcPa4tzBrV2ebgAY0KYuujSphRP7NkeHRrUcxfmtH9bh1ZlrMPT+T/Hv71YDADo1rukoGzNX7XDaeOrL5Vi7Yz+27ytN2dAwwyZZYvlCIoOp2C4fLgkAozs3QmM7vPbLn7ZIz/HD6p3Yc7AMFZq5U2LB+FP7t3DCuGoV5LoWKT8LrhKEYEKPJnj6vAGhDx2uqIEYJc4c2Ao3T+zqfM+JxVBWQZNKlARxsc6sxLCweMNulzuRzwVjER1hLegdGtXEEAnpGpt7dfPlqhpy40SpmN381ny0mTwllGc2N05QXJiHZsU18MApvbTz/ngDkK4S7Leb7LeT+wWHP/IpNTybMQObJrKdM8vImk7q2xyTFTnYH/12pLLkmI4R8M3fDEUsRvD+tSNwdPfwqTFB4N8V3fQqPt1GltMZJmf2sTP74eoxHaRlg8KALyPTvLgG7j6hB+49sQcGtdUjaKpTmIvrx3fSZr1NF2JEwoJ1uwONt4008pWjxmkDWuIYjnypKuLkfi1c9y43TlyGoijTTnklVOTS4eUVmYefN9zx7Myq/p07uE2KvawaMMpsNcHVYzr4/s7G9YJ1FuPftyuSIUn3f7AY05dvUwrgt/x3fjSdDICKtr5V/UJ8eN0I53upIsRQtCSyF10UZusW5uJ34zvh2QuOcLb1a1UXozs3wiuXDJbWdasqyM+J44/HdceozpZi7cpNLk94CKDuO7GnQ+fPoCMkFAlhfGKeMu8lYSG6D0xdivveX4L3fpTXCi3Kj+PuX/XwhCEVF+bhw+tGOsYCMUx4614rlLFZnQJ89Nsjnf7zZVzue38Jhv95GgDgX9+uCrw+GU5/6jscce8neGfuesSJu8xFi7o1PMrsMZI85yAG38tenI2ed3yEnT7KmAp3ndAdD5za2xXyxhsZ/DztPNbtPIAPF7hrFevmcol45PQ+KR0XBBYiXyHMCblxq86sH5t7jhDmqZJlmYJ2z696uMhrmCcoKqFDzOGtbsiJxTzlja6x15uVW63QdlUd6P/aURZiewyNaxdo5/2lkiLjp/TKfhnVuRH+JqkbzhNc8bnvrLYrj2RKT6iupo39dumdrk1rIxYjmHrdSCca5sajO+Pne49Bp8a18PezvNcHuAVaEU+fNwD/vmiQh/gmahRw5V1kDKsyvMLls8rGm1/dVxH1ivLwu6M6px15Ne2GUVhw59F4/oIj8NYVQ1GUn4OzB7WusgQ6YpgxkDpj+OGCM3wixJicDSSjiRiivKu8nCbKv/wYlnlmH+PmOT6CReU5blIn+8aLKGGU2WqCIK8hUxCcsgGcYMC8bDL231SF3FQgy0th6NKkNv55oaV8qgigxLDilnaxbZGxmBCCq8d29BAoAVZIXVUjFvADP2GVlidcBFCAIpROQ0goFMK7xXwJmWD5+VKrHI/Kwx8mbFMmTOhaqXV0hkJFzh0LwY9xObO9WxbjloldPQu+rPC5eFumXjcSkySW5DC5ggxBYcRivVUVTn/yW1z+7zkAkgurX0kPP/wqTSIPBlHA7maXOxK9mbnxGA6UyQm2GNg4Y2NUNYcx5ZJ5+kVE5Vgb29Wam0d3bhiwZ9XExt0HXZ7ZQW3rYUIP95j+xxfy+sCyOVZXSRGRijLbt1UxAODFi7wcBzcpvJdBHkqPYChMOM1s1t7mdbMbVv6rvhaRGjOydW5SCx9cOwI3TeiMy49s7xgBVeksfuve+G6NsxKJwfp2sCyhlb8MWMbQ6ZPHYNFdR7uiU2beOg6n9m+BSxTh05lEQW4cNfNzMLpLIy3G5cqG7FarXoO3rhiKhyLIk67uuHK03IFUUl7hKuVVXkFdudVRGgkIIU6pLLFdlzIrkVV6tSjGWTb5Jk9MGKm2XYVglNlqgn6t6irrvz15bn+PIM4LiUvtHLePF23Crv1uj9EBTW9PFBgYEILDQn927rP6eMdx3dCNE5ZGCcLixJ5N8Mx5A3AhR4R0qIEPHynlPLN+3leZle6byWPwA0eawTMEA17BXgyhazN5ClZts+oOR+GAkgmuOkRFumhW7C9oJhIUo7tY4+nO47ujVkGux2Msu8d8CYe6hbno3KQWHjot/MIvGpbOHtQqkNgqPyeGlzkvxcL1u3DW09/h8hdnY+Oug3jkk59w5/8WYu2OZA4ae8479+t5imtJctg//d2Rru+ppEMc28vNaMwUHjH3ePv+Uuw5WI4XfOroMmWEzXGqOYyNMdW7skNgN04VvVoUR0J6Upn45/RVzue6hXnIy9F7F2X3VldJEZGKMtuoVgFW3T8JIzp6DQkTFGGyMqPbnF92ArDWlN9x5WoIvGzGx/Rogn9eeAQutMtnZAv9W9fDqvsnoUXd5BzUsl4hrhjVwWMcfO4CK63g+vGdMLR9/SpjaGHK7IGyilC5smLpGgBoWCsfD5zaW8q7YeCGzHisqq3er1VdnJwGf0tl4vXLhrii/NKBat3o16quS3mskRdH/9Z18YJNGpqqMS8IYioIL/PnKwxYdx3fHZ9cP9IVni/r3QVZnssyAaPMViN0VTC8jezY0JmsXpph5R6WVSRwoLQCw+7/DJttb9Qr36/Br//lrg96IAUPki6u4UKjVRT7PNg1sDzCc4ckE+3POKIlTuzrnmAJIRjXrXHkZE1VCbyHsaS8Ag9//BMAf++CLH+iflEe6nKhlht3uZP9xXvoV/d1+nI5q2a6xEwrtlghjUEECjqLRS2fkDoAWLF1nyMcOmFqwiXLxhXPzHu7TY1fkBvH9MljPPteP74TTh/gDVW67Mh2WHinO9T91kldPfuJOL5PMwxt38CpzTzpb19j+vJt+HDhRgz+06d45JOf8bxAnDRlvhVufNoRLbVK5My8bZxnW/uGNV2h7OkQ1QHAx78diaO7N8Gv+jTDrRPd183G5eINu2WHArC86oQkQ5Tv/N8izz6EJJVdlVCyRZMg7lBE92ZqttDiwlxfhTQvHkNvm/BE9sqnapQqTyTQql6hp15pqlBFisje65mrrNJyt03q5iozs3r7fqdMGfOMEEIwqnOj0Kzq2cSYLo2x6v5JuGZsR7x8yWA8f2G07Pypoobjmc2eEd1A/i6oopeqMwa2rRcZE3KTOgX4+1l9XQ6VkZ0aghCCMnvtefb8AWhrywQjOjbAZUe2w3NcelsUYOf3zNncI5V5ZgEr2q1DI3eurWws3HF89/Q6WQVgTFpVGF/dNBoj/jLN+V5fES5HiLeUwc+b9+KkJ6Z7rJ+zf9nh+i7zaqy4byJWbduHMQ99EbrP14zt6NTjumJ0B4fp+JaJwcK6KBzECHDArlPYsbF/7clDFbyH0U1Mohak8uLBi5Q4eb139XB8s2wr1u44gH9OX4U9B9WevJ827fVs69S4ZtZycF662MsoK0JkZ9aBjl/od0d1Qr2iPPx6WFvXO9ewlpeY5LIj2yE/Jw4K6iLjalK7wCNQq6zkPNg1hSGeYbn2dWrk4tEz+uKdud5857YNinBCn2a4dmxH32c45/bxyrx3Haz800Ss3LrPyYd95Axvbt89v+qBYx79KrCtnBjxzVElSHr6ROXq5H4t8Oactdre6kMRU64ZgUSCot0t73t+q5mf48v6O757YzxwSi9s21uqSHMIZyPv37ouZv+yAxUJii9vGh18gC4UQ1lmdOvcpBZ+2rQnMKLDID04ntkMGtENvJAZcIo01pzDHcf2auYqSznMJgBkS8+wDsnQfEIIbj4mWM4Ni5b1CvHFjaM8cxMfyRLGG8xP2Sf0aebiCKjOMJ7ZKoyW9Qox749H4Rvb61OUn4PPuJC/y49sj6K8OHLjMU/R8oXrdyu9GwvX73I+y5TZWIygXcOaTq3Jv5zcS7vPvx2XJPvIi8ccS6zKcsSjpjC5EkKw56D1osmUhcMBwzs0cMLLP1m8WesYWZgxm8B+ZXvnOgh1RLs2rY2LR7RzQsHFGqdBkCm4qSJIJxZzpGUI8sxOPsabT8fyStnCLyv9VJiXgytHd/AYj2QCPMtRu/+kXlh6zwT8fO8xuOdXPXDuYCtK4dQUPZwrturXm714uDuf7B/neMse3HF8d1w3rlOgMaJeUZ4n7/0vJ/fCRcP1wvwJIb7EToA1DlkJAr85I0aserQqxT5Bk4RzYjs3Ht1ZdshhB5VnsTA/x1c4mvLjBhTm5SjZtXUiNN69aphDXsfeg6hrpKu6Ibvuhet3K0muGKquH7b6oEae9S4e9KkjbRA9ZARQQbWcDSzw8xxLhWNrVLbqBLeuX+SRMZrULsDYLo1wz696hHIk8Ls+ekZfPHN+tJ7kyoIxzVRx1KmR62JQbcMlmk8+posjlLeq71+2o25hLnbYnogZK7ajezPrpRSJampzSsAT5/THv7/7BSf2a46b3vzR+X33QbUlhxCCSb2aYsqPGxCLEfzv6uH4bsU2rZCsWIygd8tizFuz09l204QuKMiL4+ju2anHVtVACMHR3ZugXlGeq9ySH2QTLAvdffDU3rj3xJ7KY4t96jZmC7sVTMDFhbnYub9My3tSt1AexcDQ1Ie57+HTeqNhzXxfwrIwiMUI8mOW4HDO4GS4/QOn9sYbs9Xlk1S4bGR7fLdiG8Z0aYSpCzf57lu7hnuKb9sgqUw2q1OA6TenV0vwNB/Gx1TBFubSigRGdGwgZZDOy4nhQGkF3pm3TtrGXSd0dyzqohDACKH8xsDhjJwYSatWoh+RW7uGRejSpBZ6tShGrxbFACyGYULc70YUUAl4YdIhLh3ZDk99uSKqLh32KMhJembPHtQKL81YLU3FMIgWMvkraI00sHDfiT1xXK9m6NmijkP29cZvhmL+2p2VyghNCHFV7NA+zp7bVSW8qiuMMlvNEIsRPHVuf08hc7+wymfOG4CeLepg0H2fWvtywuFBW5l97dLBKMzLQdPipIDXoVFNTzhqo9oF2H0w6YX75PqRWLpxL658eY6z7dHT+zhseB0a1fR4Af1QIChiTeoU4D4f5etwQRgLYG2J8M/m3Jx4zFfYLK6R3QWuRd0aLsIiQE3e9PkNo7B2xwGtwvQ3HNUZL36nJhHyC4XMz4lhaIfwzJ73n9QTt769IFIP0zPnDcDFL8xyMfIO79gAP987EQAwa9V2nPKPb13HLLl7Aj5fuhlLN+71LLadGtfE42f1w5Uvz8FVY/RKpmQbfGrEixcNku7TvmFNvPDtLw5R1KReTZEXj2F8t8b4bMlmnDekDZ7+ylJCxDDjnHgMz54/QMrEe7iiT8tiNKiZ50R/1C/Kw4l9m+Po7k3wyCc/YYlNIgjIIz941C/yziH1ivKwfV8pPvvdKM9vTeoUYOWfJnm2pwtV7dww4icf8WRCkNMH8wZSCpx+REu8NGM1Lj0y+2zEBlYpPYNgFOXnYFw3t+LXvLhGZLn92QabFw+152+U2WqIo0IUM//696Md9sPnLzwCFz4/08WkutgWUmrkxdGzRXAhcTF8s0OjWujQqBaufBkYaucTWAqTdhddYGHFN0vCQA0sXBNQt7GeIExOuWa4dh5b3aLUPLOpGiifv+AIjP/rlwCA343vBMAiWVp+30S05/L56hXlobgwz00x74M6AR5mv/tRUp5aXugZA1uhPEFx29sLcObAVlrHnD+kNWr45C6N69YY/71iqMd4xdC7ZTFuPLoznv9mJbbuLcXVYzqgIDeOCT2aYkIP7/4scmJSr+iVh2yiQ6OamMtFcOTHY3jYrok70S6VVJirvq9jDzGrdLro26oYx/Zqik8Wb8aIjg0QixH81b6f47s1dt7Fa8d2dEoRqSCrV/i/q4fjR+55ZQJ3Ht8df3x3ofNdxswNACUhytENaV8f+Nj63L5hkf/OBoHo3aIYl4xoi/OGtEHLeoWeGukG2UOLLJeWMqgaYClkBdWoRKUOjDJ7COGDa0fgipfmYNW2faDUKvfB0/i3t0MM+XzIu9+zmEBrKKi9Rdw6sStm/7IDf/pgiWv7vD8eJa1jGxYdGtXEog27LSHCwMEuLvQ2TyPZ/+0rh+FXj38DAE5IuQ50PbN1auS6+qSTx8rj6fMGoHX9QhexF2+hj8cI3rt6OOrXzENhXk5KTMlXjm6Px6fJ62PKGFfvPbEHbv3vArRS5ALqgBGc1NUM177zBInGKcCv5EtuPIYrR3fAFaPaV2rIU5T4/paxGPbnz3CxT/1I0av6a0nebvO6NbB0057Q+d+HE+44rhvu+N8idGlSy2H3FhGPEbRrWIQtu0vwW9vgxKN2QQ4a1MrHii370KdlsbTOaTY8GecPbYPlW/bihW9/wR+P66Z8H0oVxqppN4zybOvLmM4BUwImAsRiBLdO6lbZ3Tis8cn1R2L9zgMYkYW6wgZVD4zFOptlObMBMzsfQujatDam3TAKW/eW4I/vLHTVywOAApt84YY35uGD+RvQiCv2XRiwUF8yoi2e/molWtUvxIA29VAjL+4STmR5bangtmO74qoxHdDpMGUvVoGnU49r1HHs07IYL188yBUeqAMVKcST5/ZHuwZFjhf1/pN64jcvzZHuq4PxXNjOQ6f2xj++WO4QJjH0aK6vhMtww1GdHWWWMaYy7NzvrTF61sBWGNGhYWD+uR9O7NscO/eXRp7/F4RDRZEFrFQGFkatwnlDWmPmyu34cOFG/H5CF+lYefDU3njpu19cComBG+cPbYOBbeujm0+pHgCYet1IZX3p728dB0KAsgqasRqLumDzpF+ovyryom0Dr+c1Jx7DuK6N8MnizaFZmg0MqhKeOLsfujatjTYNikKlfhkcWji6exNM6tn0kCNCNMrsIYgGNfPx+Nle1tJ6XIjmp0vczLhBnrXfT+iCC4e1dUhxzhvSJv2OStCoVkFkxDuHEs4f2tpRzLbs0auPObRDg5RyPxn+fdEgfPnzFvRtWYyj7dB2JtiN79YYj57RB0Pa18fAez/VDquV4eT+LTJSpJ0QgrycGErLE7hoeFuXMisqzmz/dBRZwPJi+XkUDaJBbjyGf9gs3yrUK8rD1QEh+Yc7CCGBiizgH5bPPLFVwXHJ+ALCll2S5fkyPHXugJRTDwwMqgqOsdMvDA5v1MiLS/WD6g5CfWr1RXoiQiYAeBRAHMAzlNL7hd/zAbwAoD+AbQBOp5Su8mtzwIABdNasWZnp8CGKNpOneLbVys/B/DuProTeGITBnNU7cNL/TcfLFw9KS0kNwuY9BzHnlx2Y0MO7+O0vLceuA2WuHM6yioTFgFoFvYNrd+zHuh0HULcoD0f99Usc26spTuzbHGO6NKqS/TUwMEgdG3YdwJlPfYd/XjgQbSSeVsCarx755Ccc17sZcmIxNKiZh3iMoFYKtakNDAwMDLIDQshsSukA6W/ZUGYJIXEAPwEYD2AtgJkAzqSULuL2uQJAL0rp5YSQMwCcSCk93a9do8yGx/vzN+AKLjy0To1czP3DeCPYVxMcLKuQ5qQZBGPN9v1oUbeGGesGBgYGBgYGBtUIfspstgKDBgJYRildYXfoVQAnAFjE7XMCgDvsz/8B8HdCCKHZch0fJpjYsylW3T8Jq7buQ+0auahbmGuE+2oEo8imjpZpEDsZGBgYGBgYGBhUPWSL0aA5gDXc97X2Nuk+lNJyALsAGErbDKFNgyLUK8oziqyBgYGBgYGBgYGBQbVEtaPnI4RcSgiZRQiZtWXLlsrujoGBgYGBgYGBgYGBgUElIFvK7DoALbnvLext0n0IITkA6sAignKBUvoUpXQApXRAw4YNM9RdAwMDAwMDAwMDAwMDg6qMbCmzMwF0JIS0JYTkATgDwLvCPu8CON/+fAqAz0y+rIGBgYGBgYGBgYGBgYEMWSGAopSWE0KuAjAVVmme5yilCwkhdwGYRSl9F8CzAF4khCwDsB2WwmtgYGBgYGBgYGBgYGBg4EHWypxTSt8H8L6w7Q/c54MATs1WfwwMDAwMDAwMDAwMDAyqL7JSZzZTIIRsAfBLZfcjAA0AbK3sThhUSZixYaCCGRsGfjDjw0AFMzYMVDBjw0CF6jA2WlNKpWRJ1VqZrQ4ghMxSFfk1OLxhxoaBCmZsGPjBjA8DFczYMFDBjA0DFar72Kh2pXkMDAwMDAwMDAwMDAwMDIwya2BgYGBgYGBgYGBgYFDtYJTZzOOpyu6AQZWFGRsGKpixYeAHMz4MVDBjw0AFMzYMVKjWY8PkzBoYGBgYGBgYGBgYGBhUOxjPrIGBgYGBgYGBgYGBgUG1g1FmMwRCyARCyFJCyDJCyOTK7o9B1QIhZBUhZD4hZC4hZFZl98eg8kAIeY4QspkQsoDbVo8Q8jEh5Gf7f93K7KNB5UAxNu4ghKyz5465hJCJldlHg8oBIaQlIWQaIWQRIWQhIeRae7uZOwz8xoeZPw5zEEIKCCHfE0Lm2WPjTnt7W0LIDFtveY0QklfZfdWFCTPOAAghcQA/ARgPYC2AmQDOpJQuqtSOGVQZEEJWARhAKa3qdb0MMgxCyEgAewG8QCntYW/7C4DtlNL7bWNYXUrp7yuznwbZh2Js3AFgL6X0wcrsm0HlghDSFEBTSukcQkgtALMB/ArABTBzx2EPn/FxGsz8cViDEEIAFFFK9xJCcgF8DeBaANcDeItS+ioh5B8A5lFKn6jMvurCeGYzg4EAllFKV1BKSwG8CuCESu6TgYFBFQSl9EsA24XNJwD4l/35X7CEEIPDDIqxYWAASukGSukc+/MeAIsBNIeZOwzgOz4MDnNQC3vtr7n2HwUwBsB/7O3Vau4wymxm0BzAGu77WphJxMANCuAjQshsQsilld0ZgyqHxpTSDfbnjQAaV2ZnDKocriKE/GiHIZsw0sMchJA2APoCmAEzdxgIEMYHYOaPwx6EkDghZC6AzQA+BrAcwE5Kabm9S7XSW4wya2BQORhOKe0H4BgAV9rhhAYGHlArF8TkgxgwPAGgPYA+ADYAeKhSe2NQqSCE1ATwJoDrKKW7+d/M3GEgGR9m/jAApbSCUtoHQAtY0aRdKrdH6cEos5nBOgAtue8t7G0GBgAASuk6+/9mAP+FNZkYGDBssnOeWO7T5kruj0EVAaV0ky2IJAA8DTN3HLaw893eBPASpfQte7OZOwwAyMeHmT8MeFBKdwKYBmAIgGJCSI79U7XSW4wymxnMBNDRZgbLA3AGgHcruU8GVQSEkCKbkAGEkCIARwFY4H+UwWGGdwGcb38+H8A7ldgXgyoEpqjYOBFm7jgsYZO4PAtgMaX0Ye4nM3cYKMeHmT8MCCENCSHF9ucasMhqF8NSak+xd6tWc4dhM84QbLrzRwDEATxHKb23cntkUFVACGkHyxsLADkAXjbj4/AFIeQVAKMANACwCcAfAbwN4HUArQD8AuA0SqkhAjrMoBgbo2CFCFIAqwBcxuVIGhwmIIQMB/AVgPkAEvbmW2DlRZq54zCHz/g4E2b+OKxBCOkFi+ApDsup+Tql9C5bNn0VQD0APwA4h1JaUnk91YdRZg0MDAwMDAwMDAwMDAyqHUyYsYGBgYGBgYGBgYGBgUG1g1FmDQwMDAwMDAwMDAwMDKodjDJrYGBgYGBgYGBgYGBgUO1glFkDAwMDAwMDAwMDAwODagejzBoYGBgYGBgYGBgYGBhUOxhl1sDAwMDAIE0QQuoTQubafxsJIevsz3sJIf+XgfP9kxCykhByueL3vSm22571O70eGhgYGBgYZB6mNI+BgYGBgUGEIITcAWAvpfTBDJ7jnwDeo5T+R/H7XkppzTTaT+t4AwMDAwODbMB4Zg0MDAwMDDIEQsgoQsh79uc7CCH/IoR8RQj5hRByEiHkL4SQ+YSQDwkhufZ+/QkhXxBCZhNCphJCmmqcpy0h5Fu7rXu47TUJIZ8SQubYv51gb7+LEHIdt9+9hJBrI78BBgYGBgYGGYRRZg0MDAwMDLKH9gDGADgewL8BTKOU9gRwAMAkW6F9DMAplNL+AJ4DcK9Gu48CeMJuawO3/SCAEyml/QCMBvAQIYTY7Z4HAISQGIAz7P4YGBgYGBhUG+RUdgcMDAwMDAwOI3xAKS0jhMwHEAfwob19PoA2ADoD6AHgY0vnRBxu5VSFYQBOtj+/CODP9mcC4D5CyEgACQDNATSmlK4ihGwjhPQF0BjAD5TSbelenIGBgYGBQTZhlFkDAwMDA4PsoQQAKKUJQkgZTRJXJGCtyQTAQkrpkBTalpFgnA2gIYD+thK9CkCB/dszAC4A0ASWp9bAwMDAwKBawYQZGxgYGBgYVB0sBdCQEDIEAAghuYSQ7hrHfQMrVBiwFFiGOgA224rsaACtud/+C2ACgCMATE275wYGBgYGBlmGUWYNDAwMDAyqCCilpQBOAfBnQsg8AHMBDNU49FoAV9rhy8257S8BGGBvPw/AEuFc0wC8TimtiOYKDAwMDAwMsgdTmsfAwMDAwKCaIag0j2YbMQBzAJxKKf1Z+M2U5jEwMDAwqPIwnlkDAwMDA4Pqh10A7iaEXJ7KwYSQbgCWAfiUV2QJIe0JIXMBbIqklwYGBgYGBhmE8cwaGBgYGBgYGBgYGBgYVDsYz6yBgYGBgYGBgYGBgYFBtYNRZg0MDAwMDAwMDAwMDAyqHYwya2BgYGBgYGBgYGBgYFDtYJRZAwMDAwMDAwMDAwMDg2oHo8waGBgYGBgYGBgYGBgYVDsYZdbAwMDAwMDAwMDAwMCg2uH/AZLIeQiyDbZtAAAAAElFTkSuQmCC\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 1152x720 with 3 Axes>"
]
@@ -2218,26 +2220,6 @@
"_ = ax.set_xlabel('Time [day]')"
]
},
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Time-dependent site data**\n",
- "\n",
- "Add time-dependent turbulence intensity to site"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "metadata": {},
- "outputs": [],
- "source": [
- "import xarray as xr\n",
- "site = IEA37Site(16)\n",
- "site.ds['TI'] = xr.DataArray(ti,[('time',time_stamp)])"
- ]
- },
{
"cell_type": "markdown",
"metadata": {},
@@ -2249,7 +2231,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
@@ -2293,12 +2275,12 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"operating = np.ones((len(x), len(time_stamp))) # shape=(#wt, #time stamps)\n",
- "operating[0,(time_stamp>5)&(time_stamp<15)] = 0 # wt0 not operating from day 5 to 15"
+ "operating[0,(time_stamp>15)&(time_stamp<20)] = 0 # wt0 not operating from day 5 to 15"
]
},
{
@@ -2310,30 +2292,31 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"# setup new WindFarmModel with site containing time-dependent TI and run simulation\n",
"wf_model = IEA37SimpleBastankhahGaussian(site, windTurbines)\n",
"sim_res_time = wf_model(x, y, # wind turbine positions\n",
- " wd=wd, # Wind direction (defaults to site.default_wd (0,1,...,360 if not overriden))\n",
- " ws=ws, # Wind speed (defaults to site.default_ws (3,4,...,25m/s if not overriden))\n",
- " time=time_stamp,\n",
+ " wd=wd, # Wind direction time series\n",
+ " ws=ws, # Wind speed time series\n",
+ " time=time_stamp, # time stamps\n",
+ " TI=ti, # turbulence intensity time series\n",
" operating=operating # time dependent operating variable\n",
" )"
]
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 15,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 1152x216 with 1 Axes>"
]
@@ -2348,6 +2331,426 @@
"sim_res_time.Power.sel(wt=0).plot(figsize=(16,3))"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ "<defs>\n",
+ "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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+ "</defs>\n",
+ "</svg>\n",
+ "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+ " *\n",
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+ " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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+ " --xr-background-color-row-odd: #313131;\n",
+ "}\n",
+ "\n",
+ ".xr-wrap {\n",
+ " display: block;\n",
+ " min-width: 300px;\n",
+ " max-width: 700px;\n",
+ "}\n",
+ "\n",
+ ".xr-text-repr-fallback {\n",
+ " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+ " display: none;\n",
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+ "\n",
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+ " padding-top: 6px;\n",
+ " padding-bottom: 6px;\n",
+ " margin-bottom: 4px;\n",
+ " border-bottom: solid 1px var(--xr-border-color);\n",
+ "}\n",
+ "\n",
+ ".xr-header > div,\n",
+ ".xr-header > ul {\n",
+ " display: inline;\n",
+ " margin-top: 0;\n",
+ " margin-bottom: 0;\n",
+ "}\n",
+ "\n",
+ ".xr-obj-type,\n",
+ ".xr-array-name {\n",
+ " margin-left: 2px;\n",
+ " margin-right: 10px;\n",
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+ "\n",
+ ".xr-obj-type {\n",
+ " color: var(--xr-font-color2);\n",
+ "}\n",
+ "\n",
+ ".xr-sections {\n",
+ " padding-left: 0 !important;\n",
+ " display: grid;\n",
+ " grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+ "}\n",
+ "\n",
+ ".xr-section-item {\n",
+ " display: contents;\n",
+ "}\n",
+ "\n",
+ ".xr-section-item input {\n",
+ " display: none;\n",
+ "}\n",
+ "\n",
+ ".xr-section-item input + label {\n",
+ " color: var(--xr-disabled-color);\n",
+ "}\n",
+ "\n",
+ ".xr-section-item input:enabled + label {\n",
+ " cursor: pointer;\n",
+ " color: var(--xr-font-color2);\n",
+ "}\n",
+ "\n",
+ ".xr-section-item input:enabled + label:hover {\n",
+ " color: var(--xr-font-color0);\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary {\n",
+ " grid-column: 1;\n",
+ " color: var(--xr-font-color2);\n",
+ " font-weight: 500;\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary > span {\n",
+ " display: inline-block;\n",
+ " padding-left: 0.5em;\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary-in:disabled + label {\n",
+ " color: var(--xr-font-color2);\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary-in + label:before {\n",
+ " display: inline-block;\n",
+ " content: 'â–º';\n",
+ " font-size: 11px;\n",
+ " width: 15px;\n",
+ " text-align: center;\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary-in:disabled + label:before {\n",
+ " color: var(--xr-disabled-color);\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary-in:checked + label:before {\n",
+ " content: 'â–¼';\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary-in:checked + label > span {\n",
+ " display: none;\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary,\n",
+ ".xr-section-inline-details {\n",
+ " padding-top: 4px;\n",
+ " padding-bottom: 4px;\n",
+ "}\n",
+ "\n",
+ ".xr-section-inline-details {\n",
+ " grid-column: 2 / -1;\n",
+ "}\n",
+ "\n",
+ ".xr-section-details {\n",
+ " display: none;\n",
+ " grid-column: 1 / -1;\n",
+ " margin-bottom: 5px;\n",
+ "}\n",
+ "\n",
+ ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+ " display: contents;\n",
+ "}\n",
+ "\n",
+ ".xr-array-wrap {\n",
+ " grid-column: 1 / -1;\n",
+ " display: grid;\n",
+ " grid-template-columns: 20px auto;\n",
+ "}\n",
+ "\n",
+ ".xr-array-wrap > label {\n",
+ " grid-column: 1;\n",
+ " vertical-align: top;\n",
+ "}\n",
+ "\n",
+ ".xr-preview {\n",
+ " color: var(--xr-font-color3);\n",
+ "}\n",
+ "\n",
+ ".xr-array-preview,\n",
+ ".xr-array-data {\n",
+ " padding: 0 5px !important;\n",
+ " grid-column: 2;\n",
+ "}\n",
+ "\n",
+ ".xr-array-data,\n",
+ ".xr-array-in:checked ~ .xr-array-preview {\n",
+ " display: none;\n",
+ "}\n",
+ "\n",
+ ".xr-array-in:checked ~ .xr-array-data,\n",
+ ".xr-array-preview {\n",
+ " display: inline-block;\n",
+ "}\n",
+ "\n",
+ ".xr-dim-list {\n",
+ " display: inline-block !important;\n",
+ " list-style: none;\n",
+ " padding: 0 !important;\n",
+ " margin: 0;\n",
+ "}\n",
+ "\n",
+ ".xr-dim-list li {\n",
+ " display: inline-block;\n",
+ " padding: 0;\n",
+ " margin: 0;\n",
+ "}\n",
+ "\n",
+ ".xr-dim-list:before {\n",
+ " content: '(';\n",
+ "}\n",
+ "\n",
+ ".xr-dim-list:after {\n",
+ " content: ')';\n",
+ "}\n",
+ "\n",
+ ".xr-dim-list li:not(:last-child):after {\n",
+ " content: ',';\n",
+ " padding-right: 5px;\n",
+ "}\n",
+ "\n",
+ ".xr-has-index {\n",
+ " font-weight: bold;\n",
+ "}\n",
+ "\n",
+ ".xr-var-list,\n",
+ ".xr-var-item {\n",
+ " display: contents;\n",
+ "}\n",
+ "\n",
+ ".xr-var-item > div,\n",
+ ".xr-var-item label,\n",
+ ".xr-var-item > .xr-var-name span {\n",
+ " background-color: var(--xr-background-color-row-even);\n",
+ " margin-bottom: 0;\n",
+ "}\n",
+ "\n",
+ ".xr-var-item > .xr-var-name:hover span {\n",
+ " padding-right: 5px;\n",
+ "}\n",
+ "\n",
+ ".xr-var-list > li:nth-child(odd) > div,\n",
+ ".xr-var-list > li:nth-child(odd) > label,\n",
+ ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+ " background-color: var(--xr-background-color-row-odd);\n",
+ "}\n",
+ "\n",
+ ".xr-var-name {\n",
+ " grid-column: 1;\n",
+ "}\n",
+ "\n",
+ ".xr-var-dims {\n",
+ " grid-column: 2;\n",
+ "}\n",
+ "\n",
+ ".xr-var-dtype {\n",
+ " grid-column: 3;\n",
+ " text-align: right;\n",
+ " color: var(--xr-font-color2);\n",
+ "}\n",
+ "\n",
+ ".xr-var-preview {\n",
+ " grid-column: 4;\n",
+ "}\n",
+ "\n",
+ ".xr-var-name,\n",
+ ".xr-var-dims,\n",
+ ".xr-var-dtype,\n",
+ ".xr-preview,\n",
+ ".xr-attrs dt {\n",
+ " white-space: nowrap;\n",
+ " overflow: hidden;\n",
+ " text-overflow: ellipsis;\n",
+ " padding-right: 10px;\n",
+ "}\n",
+ "\n",
+ ".xr-var-name:hover,\n",
+ ".xr-var-dims:hover,\n",
+ ".xr-var-dtype:hover,\n",
+ ".xr-attrs dt:hover {\n",
+ " overflow: visible;\n",
+ " width: auto;\n",
+ " z-index: 1;\n",
+ "}\n",
+ "\n",
+ ".xr-var-attrs,\n",
+ ".xr-var-data {\n",
+ " display: none;\n",
+ " background-color: var(--xr-background-color) !important;\n",
+ " padding-bottom: 5px !important;\n",
+ "}\n",
+ "\n",
+ ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+ ".xr-var-data-in:checked ~ .xr-var-data {\n",
+ " display: block;\n",
+ "}\n",
+ "\n",
+ ".xr-var-data > table {\n",
+ " float: right;\n",
+ "}\n",
+ "\n",
+ ".xr-var-name span,\n",
+ ".xr-var-data,\n",
+ ".xr-attrs {\n",
+ " padding-left: 25px !important;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs,\n",
+ ".xr-var-attrs,\n",
+ ".xr-var-data {\n",
+ " grid-column: 1 / -1;\n",
+ "}\n",
+ "\n",
+ "dl.xr-attrs {\n",
+ " padding: 0;\n",
+ " margin: 0;\n",
+ " display: grid;\n",
+ " grid-template-columns: 125px auto;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dt,\n",
+ ".xr-attrs dd {\n",
+ " padding: 0;\n",
+ " margin: 0;\n",
+ " float: left;\n",
+ " padding-right: 10px;\n",
+ " width: auto;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dt {\n",
+ " font-weight: normal;\n",
+ " grid-column: 1;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dt:hover span {\n",
+ " display: inline-block;\n",
+ " background: var(--xr-background-color);\n",
+ " padding-right: 10px;\n",
+ "}\n",
+ "\n",
+ ".xr-attrs dd {\n",
+ " grid-column: 2;\n",
+ " white-space: pre-wrap;\n",
+ " word-break: break-all;\n",
+ "}\n",
+ "\n",
+ ".xr-icon-database,\n",
+ ".xr-icon-file-text2 {\n",
+ " display: inline-block;\n",
+ " vertical-align: middle;\n",
+ " width: 1em;\n",
+ " height: 1.5em !important;\n",
+ " stroke-width: 0;\n",
+ " stroke: currentColor;\n",
+ " fill: currentColor;\n",
+ "}\n",
+ "</style><pre class='xr-text-repr-fallback'><xarray.DataArray 'operating' (wt: 16, time: 4320)>\n",
+ "array([[1., 1., 1., ..., 1., 1., 1.],\n",
+ " [1., 1., 1., ..., 1., 1., 1.],\n",
+ " [1., 1., 1., ..., 1., 1., 1.],\n",
+ " ...,\n",
+ " [1., 1., 1., ..., 1., 1., 1.],\n",
+ " [1., 1., 1., ..., 1., 1., 1.],\n",
+ " [1., 1., 1., ..., 1., 1., 1.]])\n",
+ "Coordinates:\n",
+ " * time (time) float64 0.0 0.006944 0.01389 0.02083 ... 29.98 29.99 29.99\n",
+ " * wt (wt) int32 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15\n",
+ " wd (time) float64 311.5 308.1 301.7 280.2 ... 310.6 323.3 324.4 326.1\n",
+ " ws (time) float64 4.47 3.181 2.215 1.391 ... 1.473 1.214 1.692 1.493\n",
+ " x (wt) float64 0.0 650.0 200.9 -525.9 ... -401.7 401.7 1.052e+03\n",
+ " y (wt) float64 0.0 0.0 618.2 382.1 ... -1.236e+03 -1.236e+03 -764.1\n",
+ " h (wt) float64 110.0 110.0 110.0 110.0 ... 110.0 110.0 110.0 110.0\n",
+ " type (wt) int32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'operating'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>wt</span>: 16</li><li><span class='xr-has-index'>time</span>: 4320</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e9ab9655-274e-44b5-9877-d35ee8bfe289' class='xr-array-in' type='checkbox' checked><label for='section-e9ab9655-274e-44b5-9877-d35ee8bfe289' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0</span></div><div class='xr-array-data'><pre>array([[1., 1., 1., ..., 1., 1., 1.],\n",
+ " [1., 1., 1., ..., 1., 1., 1.],\n",
+ " [1., 1., 1., ..., 1., 1., 1.],\n",
+ " ...,\n",
+ " [1., 1., 1., ..., 1., 1., 1.],\n",
+ " [1., 1., 1., ..., 1., 1., 1.],\n",
+ " [1., 1., 1., ..., 1., 1., 1.]])</pre></div></div></li><li class='xr-section-item'><input id='section-3fdf72df-4d61-4bb9-a0d2-7f53d0feec61' class='xr-section-summary-in' type='checkbox' checked><label for='section-3fdf72df-4d61-4bb9-a0d2-7f53d0feec61' class='xr-section-summary' >Coordinates: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.006944 ... 29.99 29.99</div><input id='attrs-d99f3ffa-aa45-481c-9a84-0edca15020c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d99f3ffa-aa45-481c-9a84-0edca15020c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45e7be84-3a5c-4dbe-a7e8-b5278b9d4dbe' class='xr-var-data-in' type='checkbox'><label for='data-45e7be84-3a5c-4dbe-a7e8-b5278b9d4dbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 6.944444e-03, 1.388889e-02, ..., 2.997917e+01,\n",
+ " 2.998611e+01, 2.999306e+01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wt</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 10 11 12 13 14 15</div><input id='attrs-2ea2863f-ce48-4853-9a4b-621da3992aea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ea2863f-ce48-4853-9a4b-621da3992aea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a9624f6-04ae-42c0-9078-c83d73dadbe9' class='xr-var-data-in' type='checkbox'><label for='data-5a9624f6-04ae-42c0-9078-c83d73dadbe9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine number</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wd</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>311.5 308.1 301.7 ... 324.4 326.1</div><input id='attrs-87e7c836-b3b5-4483-97f1-842107b427de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87e7c836-b3b5-4483-97f1-842107b427de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08b903a8-5bd3-4872-95d2-bd0784b53827' class='xr-var-data-in' type='checkbox'><label for='data-08b903a8-5bd3-4872-95d2-bd0784b53827' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Ambient reference wind direction [deg]</dd></dl></div><div class='xr-var-data'><pre>array([311.546, 308.118, 301.737, ..., 323.293, 324.352, 326.136])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ws</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.47 3.181 2.215 ... 1.692 1.493</div><input id='attrs-f567a0d5-71c9-4a98-8d29-10c48acfcd5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f567a0d5-71c9-4a98-8d29-10c48acfcd5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9050d47-e6d5-483c-8a0e-35db3ca00a65' class='xr-var-data-in' type='checkbox'><label for='data-d9050d47-e6d5-483c-8a0e-35db3ca00a65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Ambient reference wind speed [m/s]</dd></dl></div><div class='xr-var-data'><pre>array([4.46994, 3.18062, 2.21546, ..., 1.21392, 1.69204, 1.49318])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 650.0 200.9 ... 401.7 1.052e+03</div><input id='attrs-006bacc9-edaf-46cc-9985-1b80c32e5e6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-006bacc9-edaf-46cc-9985-1b80c32e5e6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ce14c29-2ca5-417b-bedc-39fd697ba953' class='xr-var-data-in' type='checkbox'><label for='data-6ce14c29-2ca5-417b-bedc-39fd697ba953' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine x coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 650. , 200.861 , -525.861 , -525.861 ,\n",
+ " 200.861 , 1300. , 1051.7221, 401.7221, -401.7221,\n",
+ " -1051.7221, -1300. , -1051.7221, -401.7221, 401.7221,\n",
+ " 1051.7221])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 618.2 ... -1.236e+03 -764.1</div><input id='attrs-0d33721d-8874-40be-a3c6-10cc19437a29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d33721d-8874-40be-a3c6-10cc19437a29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e29da7f9-390f-41f7-9013-5f86cbb3079d' class='xr-var-data-in' type='checkbox'><label for='data-e29da7f9-390f-41f7-9013-5f86cbb3079d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine y coordinate [m]</dd></dl></div><div class='xr-var-data'><pre>array([ 0. , 0. , 618.1867, 382.0604, -382.0604,\n",
+ " -618.1867, 0. , 764.1208, 1236.3735, 1236.3735,\n",
+ " 764.1208, 0. , -764.1208, -1236.3735, -1236.3735,\n",
+ " -764.1208])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>h</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>110.0 110.0 110.0 ... 110.0 110.0</div><input id='attrs-0f01ef5d-66d0-4de0-918d-d5ea2e71424e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f01ef5d-66d0-4de0-918d-d5ea2e71424e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22e32c46-e557-4cf5-b5cf-1ae1334ed501' class='xr-var-data-in' type='checkbox'><label for='data-22e32c46-e557-4cf5-b5cf-1ae1334ed501' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine hub height [m]</dd></dl></div><div class='xr-var-data'><pre>array([110., 110., 110., 110., 110., 110., 110., 110., 110., 110., 110.,\n",
+ " 110., 110., 110., 110., 110.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>type</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0</div><input id='attrs-964e352d-17ce-4bfb-ab4a-fc1a3c012341' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-964e352d-17ce-4bfb-ab4a-fc1a3c012341' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3096f9ec-262d-48ec-8cfd-0f3d516e9075' class='xr-var-data-in' type='checkbox'><label for='data-3096f9ec-262d-48ec-8cfd-0f3d516e9075' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine type</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6f96b2da-f8b5-4fb5-b69c-a5ea5a203dbe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6f96b2da-f8b5-4fb5-b69c-a5ea5a203dbe' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+ ],
+ "text/plain": [
+ "<xarray.DataArray 'operating' (wt: 16, time: 4320)>\n",
+ "array([[1., 1., 1., ..., 1., 1., 1.],\n",
+ " [1., 1., 1., ..., 1., 1., 1.],\n",
+ " [1., 1., 1., ..., 1., 1., 1.],\n",
+ " ...,\n",
+ " [1., 1., 1., ..., 1., 1., 1.],\n",
+ " [1., 1., 1., ..., 1., 1., 1.],\n",
+ " [1., 1., 1., ..., 1., 1., 1.]])\n",
+ "Coordinates:\n",
+ " * time (time) float64 0.0 0.006944 0.01389 0.02083 ... 29.98 29.99 29.99\n",
+ " * wt (wt) int32 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15\n",
+ " wd (time) float64 311.5 308.1 301.7 280.2 ... 310.6 323.3 324.4 326.1\n",
+ " ws (time) float64 4.47 3.181 2.215 1.391 ... 1.473 1.214 1.692 1.493\n",
+ " x (wt) float64 0.0 650.0 200.9 -525.9 ... -401.7 401.7 1.052e+03\n",
+ " y (wt) float64 0.0 0.0 618.2 382.1 ... -1.236e+03 -1.236e+03 -764.1\n",
+ " h (wt) float64 110.0 110.0 110.0 110.0 ... 110.0 110.0 110.0 110.0\n",
+ " type (wt) int32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "sim_res_time.operating"
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {},
@@ -2390,7 +2793,7 @@
{
"data": {
"text/plain": [
- "<matplotlib.contour.QuadContourSet at 0x20745ad7dc0>"
+ "<matplotlib.contour.QuadContourSet at 0x1f4917002e0>"
]
},
"execution_count": 18,
diff --git a/py_wake/examples/data/iea34_130rwt/_iea34_130rwt.py b/py_wake/examples/data/iea34_130rwt/_iea34_130rwt.py
index d8482b70477017c7b147a13060596b519693fe12..dafb18ca8a3e764bcf9edec362be8f71a4d0a135 100644
--- a/py_wake/examples/data/iea34_130rwt/_iea34_130rwt.py
+++ b/py_wake/examples/data/iea34_130rwt/_iea34_130rwt.py
@@ -26,10 +26,14 @@ class IEA34_130_PowerCtSurrogate(PowerCtSurrogate):
self.ct_idle = thrust_idle / (1 / 2 * 1.225 * (65**2 * np.pi) * self.ws_cutout**2)
def _power_ct(self, ws, **kwargs):
- power, thrust = PowerCtSurrogate._power_ct(self, ws, **kwargs)
- ct = thrust * 1000 / (1 / 2 * 1.225 * (65**2 * np.pi) * ws**2)
- power[(ws < self.ws_cutin) | (ws > self.ws_cutout)] = 0
- ct[(ws < self.ws_cutin) | (ws > self.ws_cutout)] = self.ct_idle
+ m = (ws > self.ws_cutin) & (ws < self.ws_cutout)
+ power = np.zeros_like(ws)
+ ct = np.full(ws.shape, self.ct_idle)
+ kwargs = {k: self.fix_shape(v, ws)[m] for k, v in kwargs.items()}
+ power_m, thrust_m = PowerCtSurrogate._power_ct(self, ws[m], **kwargs)
+ ct_m = thrust_m * 1000 / (1 / 2 * 1.225 * (65**2 * np.pi) * ws[m]**2)
+ power[m] = power_m
+ ct[m] = ct_m
return power, ct
diff --git a/py_wake/tests/test_utils/test_xarray_utils.py b/py_wake/tests/test_utils/test_xarray_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..64f589c595e6fd6aa5cda5244976e2e886627844
--- /dev/null
+++ b/py_wake/tests/test_utils/test_xarray_utils.py
@@ -0,0 +1,69 @@
+from py_wake.examples.data.hornsrev1 import Hornsrev1Site
+import numpy as np
+import pytest
+import pandas as pd
+
+
+@pytest.mark.parametrize(['ti', 'dims'], [
+ (0.1, ()),
+ (np.full((2), 0.1), ('i',)),
+ (np.full((2, 360), 0.1), ('i', 'wd')),
+ (np.full((2, 360, 23), 0.1), ('i', 'wd', 'ws')),
+ (np.full((360), 0.1), ('wd',)),
+ (np.full((360, 23), 0.1), ('wd', 'ws')),
+ (np.full((23), 0.1), ('ws',)),
+])
+def test_add_ilk(ti, dims):
+ site = Hornsrev1Site()
+ wt, wd, ws = np.arange(2), np.arange(360), np.arange(3, 26)
+ lw = site.local_wind(wt * 1000, wt * 0, wt * 0 + 70, wd, ws, time=False)
+ lw.add_ilk('TI', ti)
+ assert lw.TI.dims == dims
+
+
+@pytest.mark.parametrize(['ti', 'dims'], [
+ (0.1, ()),
+ (np.full((2), 0.1), ('i',)),
+ (np.full((2, 100), 0.1), ('i', 'time')),
+ (np.full((100), 0.1), ('time',)),
+])
+def test_add_ilk_time(ti, dims):
+ site = Hornsrev1Site()
+ wt, wd, ws = np.arange(2), np.arange(100), np.arange(100) % 20 + 3
+ t = pd.date_range("2000-01-01", freq="10T", periods=100)
+
+ lw = site.local_wind(wt * 1000, wt * 0, wt * 0 + 70, wd, ws, time=t)
+ lw.add_ilk('TI', ti)
+ assert lw.TI.dims == dims
+
+
+@pytest.mark.parametrize(['shape'], [
+ [(360, 2)],
+ [(23, 360)],
+ [(23, 2)],
+ [(2, 23, 360)],
+ [(360, 2, 23)],
+ [(360, 23, 2)],
+ [(23, 360, 2)],
+ [(23, 2, 360)],
+])
+def test_add_ilk_wrong_dim(shape):
+ site = Hornsrev1Site()
+ wt, wd, ws = np.arange(2), np.arange(360), np.arange(3, 26)
+ lw = site.local_wind(wt * 1000, wt * 0, wt * 0 + 70, wd, ws, time=False)
+ with pytest.raises(ValueError):
+ lw.add_ilk('TI', np.full(shape, 0.1))
+
+
+@pytest.mark.parametrize(['shape'], [
+ [(100, 2)],
+ [(2, 100, 23)],
+])
+def test_add_ilk_time_wrong_dim(shape):
+ site = Hornsrev1Site()
+ wt, wd, ws = np.arange(2), np.arange(100), np.arange(100) % 20 + 3
+ t = pd.date_range("2000-01-01", freq="10T", periods=100)
+ lw = site.local_wind(wt * 1000, wt * 0, wt * 0 + 70, wd, ws, time=t)
+
+ with pytest.raises(ValueError):
+ lw.add_ilk('TI', np.full(shape, 0.1))
diff --git a/py_wake/tests/test_wind_farm_models/test_enginering_wind_farm_model.py b/py_wake/tests/test_wind_farm_models/test_enginering_wind_farm_model.py
index c5b36f1eae4187d8f6aa64507cfce721f0e8614e..f0fda5b0576b51ab61941a9a035af034950bdd41 100644
--- a/py_wake/tests/test_wind_farm_models/test_enginering_wind_farm_model.py
+++ b/py_wake/tests/test_wind_farm_models/test_enginering_wind_farm_model.py
@@ -1,10 +1,11 @@
import numpy as np
+import xarray as xr
import pytest
from py_wake.examples.data.iea37._iea37 import IEA37_WindTurbines, IEA37Site, IEA37WindTurbinesDeprecated
from py_wake import NOJ, Fuga, examples
from py_wake.site._site import UniformSite
from py_wake.tests import npt
-from py_wake.examples.data.hornsrev1 import HornsrevV80, Hornsrev1Site, wt_x, wt_y, wt9_x, wt9_y, V80
+from py_wake.examples.data.hornsrev1 import HornsrevV80, Hornsrev1Site, wt_x, wt_y, V80
from py_wake.tests.test_files.fuga import LUT_path_2MW_z0_0_03
from py_wake.flow_map import HorizontalGrid
from py_wake.wind_farm_models.engineering_models import All2AllIterative, PropagateDownwind
@@ -20,15 +21,13 @@ from py_wake.utils.gradients import autograd, cs, fd, plot_gradients
from py_wake.deficit_models.fuga import FugaDeficit
from py_wake.superposition_models import LinearSum
from py_wake.deficit_models.no_wake import NoWakeDeficit
-from py_wake.wind_farm_models.wind_farm_model import WindFarmModel, SimulationResult
+from py_wake.wind_farm_models.wind_farm_model import WindFarmModel
from py_wake.wind_turbines import WindTurbines
-from py_wake.wind_turbines.wind_turbines_deprecated import DeprecatedOneTypeWindTurbines, DeprecatedWindTurbines
+from py_wake.wind_turbines.wind_turbines_deprecated import DeprecatedOneTypeWindTurbines
from py_wake.tests.check_speed import timeit
from py_wake.wind_turbines._wind_turbines import WindTurbine
-from py_wake.wind_turbines.power_ct_functions import CubePowerSimpleCt
-
-from autograd.tracer import trace
-from py_wake.tests.test_files import tfp
+from py_wake.wind_turbines.power_ct_functions import CubePowerSimpleCt, PowerCtFunctionList
+import pandas as pd
import os
@@ -290,7 +289,7 @@ def test_dAEPdx():
args = {'x': x, 'y': y}
profile_funcs = [WindTurbine.power_ct, CubePowerSimpleCt._power_ct, CubePowerSimpleCt._power_ct_grad]
dAEPdxy_ad, t_ad = timeit(wfm.dAEPdxy(gradient_method=autograd), verbose=True, line_profile=0,
- profile_funcs=profile_funcs + [trace])(**args)
+ profile_funcs=profile_funcs)(**args)
# dAEPdxy_cs, t_cs = timeit(wfm.dAEPdxy(gradient_method=cs))(**args)
dAEPdxy_fd, t_fd = timeit(wfm.dAEPdxy(gradient_method=fd), verbose=True, line_profile=0,
profile_funcs=profile_funcs)(**args)
@@ -377,8 +376,6 @@ def test_time_series_values():
def test_time_series_dates():
- import pandas as pd
- import xarray as xr
d = np.load(os.path.dirname(examples.__file__) + "/data/time_series.npz")
wd, ws, ws_std = [d[k][:6 * 24] for k in ['wd', 'ws', 'ws_std']]
ti = np.minimum(ws_std / ws, .5)
@@ -395,6 +392,76 @@ def test_time_series_dates():
npt.assert_array_equal(sim_res.time, t)
+def test_time_series_override_ti():
+
+ d = np.load(os.path.dirname(examples.__file__) + "/data/time_series.npz")
+ wd, ws, ws_std = [d[k][:6 * 24] for k in ['wd', 'ws', 'ws_std']]
+ ti = np.minimum(ws_std / ws, .5)
+ t = pd.date_range("2000-01-01", freq="10T", periods=24 * 6)
+ wt = V80()
+ site = Hornsrev1Site()
+ x, y = site.initial_position.T
+ wfm = NOJ(site, wt)
+ sim_res = wfm(x, y, ws=ws, wd=wd, time=t, TI=ti, verbose=False)
+ npt.assert_array_equal(sim_res.WS, ws)
+ npt.assert_array_equal(sim_res.WD, wd)
+ npt.assert_array_equal(sim_res.time, t)
+ npt.assert_array_equal(sim_res.TI, ti)
+
+
+def test_time_series_operating():
+ from py_wake.wind_turbines.power_ct_functions import PowerCtFunctionList, PowerCtTabular
+ d = np.load(os.path.dirname(examples.__file__) + "/data/time_series.npz")
+ wd, ws, ws_std = [d[k][:6 * 24] for k in ['wd', 'ws', 'ws_std']]
+ ws += 3
+ t = np.arange(6 * 24)
+ wt = V80()
+ site = Hornsrev1Site()
+
+ # replace powerCtFunction
+ wt.powerCtFunction = PowerCtFunctionList(
+ key='operating',
+ powerCtFunction_lst=[PowerCtTabular(ws=[0, 100], power=[0, 0], power_unit='w', ct=[0, 0]), # 0=No power and ct
+ wt.powerCtFunction], # 1=Normal operation
+ default_value=1)
+ wfm = NOJ(site, wt)
+ x, y = site.initial_position.T
+ operating = (t < 48) | (t > 72)
+ sim_res = wfm(x, y, ws=ws, wd=wd, time=t, operating=operating)
+ npt.assert_array_equal(sim_res.operating, operating)
+ npt.assert_array_equal(sim_res.Power[:, operating == 0], 0)
+ npt.assert_array_equal(sim_res.Power[:, operating != 0] > 0, True)
+
+ operating = np.ones((80, 6 * 24))
+ operating[1] = (t < 48) | (t > 72)
+ sim_res = wfm(x, y, ws=ws, wd=wd, time=t, operating=operating)
+ npt.assert_array_equal(sim_res.operating, operating)
+ npt.assert_array_equal(sim_res.Power.values[operating == 0], 0)
+ npt.assert_array_equal(sim_res.Power.values[operating != 0] > 0, True)
+
+
+def test_time_series_operating_wrong_shape():
+ from py_wake.wind_turbines.power_ct_functions import PowerCtFunctionList, PowerCtTabular
+ d = np.load(os.path.dirname(examples.__file__) + "/data/time_series.npz")
+ wd, ws, ws_std = [d[k][:6 * 24] for k in ['wd', 'ws', 'ws_std']]
+ ws += 3
+ t = np.arange(6 * 24)
+ wt = V80()
+ site = Hornsrev1Site()
+
+ # replace powerCtFunction
+ wt.powerCtFunction = PowerCtFunctionList(
+ key='operating',
+ powerCtFunction_lst=[PowerCtTabular(ws=[0, 100], power=[0, 0], power_unit='w', ct=[0, 0]), # 0=No power and ct
+ wt.powerCtFunction], # 1=Normal operation
+ default_value=1)
+ wfm = NOJ(site, wt)
+ x, y = site.initial_position.T
+ operating = (t < 48) | (t > 72)
+ with pytest.raises(ValueError, match=r"Argument, operating\(shape=\(1, 144\)\), has unsupported shape."):
+ wfm(x, y, ws=ws, wd=wd, time=t, operating=[operating])
+
+
def test_aep_wind_atlas_method():
site = Hornsrev1Site()
diff --git a/py_wake/tests/test_windturbines/test_power_ct_curves.py b/py_wake/tests/test_windturbines/test_power_ct_curves.py
index 0da131b8e9dacc3ca7dcb6570f286017eb7aa0f8..fda7ebe3bba6e6fed0b156b45882283171ccdf38 100644
--- a/py_wake/tests/test_windturbines/test_power_ct_curves.py
+++ b/py_wake/tests/test_windturbines/test_power_ct_curves.py
@@ -3,13 +3,10 @@ import pytest
import matplotlib.pyplot as plt
import numpy as np
import xarray as xr
-from py_wake.examples.data import hornsrev1, wtg_path
+from py_wake.examples.data import hornsrev1
from py_wake.tests import npt
from py_wake.wind_turbines.power_ct_functions import CubePowerSimpleCt, PowerCtNDTabular, DensityScale, \
PowerCtTabular, PowerCtFunction, PowerCtFunctionList, PowerCtXr
-from py_wake.examples.data.hornsrev1 import V80
-from py_wake.wind_turbines._wind_turbines import WindTurbine
-from py_wake.examples.data.dtu10mw import DTU10MW
@pytest.mark.parametrize('method,unit,p_scale,p_ref,ct_ref', [
diff --git a/py_wake/tests/test_windturbines/test_power_ct_wind_turbines.py b/py_wake/tests/test_windturbines/test_power_ct_wind_turbines.py
index 3e7b893aca473c8c17c8c84c42f7601864641018..1de5262ba4377a984ed8a6fd9b975ab38bcfbe75 100644
--- a/py_wake/tests/test_windturbines/test_power_ct_wind_turbines.py
+++ b/py_wake/tests/test_windturbines/test_power_ct_wind_turbines.py
@@ -4,7 +4,6 @@ import xarray as xr
import matplotlib.pyplot as plt
import numpy as np
from py_wake.examples.data import hornsrev1
-
from py_wake.tests import npt
from py_wake.wind_turbines.power_ct_functions import CubePowerSimpleCt, DensityScale, \
PowerCtTabular, PowerCtFunction, PowerCtFunctionList, PowerCtNDTabular, PowerCtXr
diff --git a/py_wake/utils/xarray_utils.py b/py_wake/utils/xarray_utils.py
index 90c3e13a99bf2066109897e60487b8bfbcceae98..6b8321175b6813fb67edd75097b604d841ab2347 100644
--- a/py_wake/utils/xarray_utils.py
+++ b/py_wake/utils/xarray_utils.py
@@ -30,6 +30,29 @@ class ilk():
return np.broadcast_to(v, shape)
+class add_ilk():
+ def __init__(self, dataset):
+ self.dataset = dataset
+
+ def __call__(self, name, value):
+ dims = self.dataset.dims
+ if 'time' in dims:
+ allowed_dims = ['i', 'wt'], ['time']
+ else:
+ allowed_dims = ['i', 'wt'], ['i', 'wt'], ['wd'], ['ws']
+
+ d = []
+ i = 0
+
+ for ad in allowed_dims:
+ for k in ad:
+ if i < len(np.shape(value)) and np.shape(value)[i] == dims.get(k, None):
+ d.append(k)
+ i += 1
+ break
+ self.dataset[name] = (d, value)
+
+
class interp_all():
def __init__(self, dataArray):
self.dataArray = dataArray
@@ -70,6 +93,7 @@ class plot_xy_map():
if not hasattr(xr.DataArray(None), 'ilk'):
xr.register_dataarray_accessor("ilk")(ilk)
+ xr.register_dataset_accessor("add_ilk")(add_ilk)
xr.register_dataarray_accessor("interp_all")(interp_all)
xr.register_dataarray_accessor("sel_interp_all")(sel_interp_all)
with warnings.catch_warnings():
diff --git a/py_wake/wind_farm_models/engineering_models.py b/py_wake/wind_farm_models/engineering_models.py
index d8be01795c85503b95a3760237aa47d14accc59b..7326be5517e74fcd3d09047ac1b2eb4846f6fe45 100644
--- a/py_wake/wind_farm_models/engineering_models.py
+++ b/py_wake/wind_farm_models/engineering_models.py
@@ -162,6 +162,9 @@ class EngineeringWindFarmModel(WindFarmModel):
self._validate_input(x_i, y_i)
I, L, K, = len(x_i), len(wd), (1, len(ws))[time is False]
+ if 'TI' in kwargs:
+ lw.add_ilk('TI', kwargs['TI'])
+
WS_eff_ilk = lw.WS.ilk((I, L, K)).copy()
TI_eff_ilk = lw.TI.ilk((I, L, K)).copy()
if yaw_ilk is not None:
@@ -174,7 +177,7 @@ class EngineeringWindFarmModel(WindFarmModel):
# cw_iil = np.sqrt(hcw_iil**2 + dh_iil**2 + eps)
wt_kwargs = kwargs
ri, oi = self.windTurbines.function_inputs
- unused_inputs = set(wt_kwargs) - set(ri) - set(oi)
+ unused_inputs = set(wt_kwargs) - set(ri) - set(oi) - {'TI'}
if unused_inputs:
raise TypeError("""got unexpected keyword argument(s): '%s'
required arguments: %s
@@ -414,6 +417,7 @@ class PropagateDownwind(EngineeringWindFarmModel):
return np.broadcast_to(x_ilk.astype(float), (I, L, K)).reshape((I * L, K))
indices = np.arange(I * I * L).reshape((I, I, L))
+
TI_mk = ilk2mk(lw.TI_ilk)
WS_mk = ilk2mk(lw.WS_ilk)
WS_eff_mk = []
@@ -465,16 +469,22 @@ class PropagateDownwind(EngineeringWindFarmModel):
TI_eff_mk.append(self.turbulenceModel.calc_effective_TI(TI_mk[m], add_turb_nk[n_uw]))
# Calculate Power/CT
- def mask(v):
+ def mask(k, v):
if v is None or isinstance(v, (int, float)) or len(np.asarray(v).shape) == 0:
return v
v = np.asarray(v)
- if len(v.shape) == 1:
+ if len(v.shape) == 1 and len(v) == I:
return v[i_wt_l]
- else:
+ elif v.shape[:2] == (I, L):
return v[i_wt_l, i_wd_l]
+ elif v.shape == (L,):
+ return v[i_wd_l]
+ else:
+ valid_shapes = f"(), ({I}), ({I},{L}), ({I},{L},{K}), ({L}), ({L},{K})"
+ raise ValueError(
+ f"Argument, {k}(shape={v.shape}), has unsupported shape. Valid shapes are {valid_shapes}")
keys = self.windTurbines.powerCtFunction.required_inputs + self.windTurbines.powerCtFunction.optional_inputs
- _kwargs = {k: mask(v) for k, v in kwargs.items() if k in keys}
+ _kwargs = {k: mask(k, v) for k, v in kwargs.items() if k in keys}
if 'TI_eff' in _kwargs:
_kwargs['TI_eff'] = TI_eff_mk[-1]
power_lk, ct_lk, = self.windTurbines.power_ct(WS_eff_lk, **_kwargs)
diff --git a/py_wake/wind_farm_models/wind_farm_model.py b/py_wake/wind_farm_models/wind_farm_model.py
index db38e98a2d4b9e28f32d4e141ac7aefeb8e05c01..e7aa78f656eeb414b50353ec62ac91b62db58889 100644
--- a/py_wake/wind_farm_models/wind_farm_model.py
+++ b/py_wake/wind_farm_models/wind_farm_model.py
@@ -168,6 +168,8 @@ class SimulationResult(xr.Dataset):
for n in localWind:
self[n] = localWind[n]
self.attrs.update(localWind.attrs)
+ for n in set(wt_inputs) - {'type', 'TI_eff'}:
+ self.add_ilk(n, wt_inputs[n])
if yaw_ilk is None:
self['Yaw'] = self.Power * 0
@@ -298,7 +300,8 @@ class SimulationResult(xr.Dataset):
else:
return np.broadcast_to(wt.loadFunction.fix_shape(v, WS_eff_ilk)[na], (I, I, L, K))
kwargs_iilk = {k: fix_shape(k, v)
- for k, v in kwargs.items()}
+ for k, v in kwargs.items()
+ if k in wt.loadFunction.required_inputs + wt.loadFunction.optional_inputs}
loads_siilk = np.array(wt.loads(ws_iilk, **kwargs_iilk))
if softmax_base is None:
diff --git a/py_wake/wind_turbines/wind_turbine_functions.py b/py_wake/wind_turbines/wind_turbine_functions.py
index 577f6a70b4ecb17dcd3bd479a7a7ce8408e74d2f..7018f83e8e00acf1ae5867d7cd8d8016ace8be13 100644
--- a/py_wake/wind_turbines/wind_turbine_functions.py
+++ b/py_wake/wind_turbines/wind_turbine_functions.py
@@ -51,6 +51,10 @@ class WindTurbineFunction():
def optional_inputs(self):
return sorted(self._optional_inputs)
+ @property
+ def inputs(self):
+ return sorted(self._required_inputs | self._optional_inputs)
+
def add_inputs(self, required_inputs, optional_inputs):
lst = [i for sub_lst in required_inputs for i in ([sub_lst], sub_lst)[isinstance(sub_lst, (list, set))]]
self._required_inputs |= set(lst)
@@ -115,17 +119,21 @@ class WindTurbineFunctionList(WindTurbineFunction):
idx = np.asarray(idx, dtype=int)
+ def get_kwargs(idx):
+ return {k: v for k, v in kwargs.items() if k in self.windTurbineFunction_lst[idx].inputs}
+
if idx.shape == (1,):
idx = idx[0]
if idx.shape == ():
- res = self.windTurbineFunction_lst[idx](ws, **kwargs)
+ res = self.windTurbineFunction_lst[idx](ws, **get_kwargs(idx))
else:
res = np.empty((2,) + np.asarray(ws).shape)
unique_idx = np.unique(idx)
idx = np.zeros(ws.shape, dtype=int) + idx.reshape(idx.shape + (1,) * (len(ws.shape) - len(idx.shape)))
for i in unique_idx:
m = (idx == i)
- res[:, m] = self.windTurbineFunction_lst[i](ws[m], **{k: self._subset(v, m) for k, v in kwargs.items()})
+ res[:, m] = self.windTurbineFunction_lst[i](
+ ws[m], **{k: self._subset(v, m) for k, v in get_kwargs(i).items()})
return res