diff --git a/BHPD/01-DNN-Regression.ipynb b/BHPD/01-DNN-Regression.ipynb
index d31af20b0b6fe40e154dcfb8be82b02c99e017c3..b3e616be6024104befa51d7161b512417ae5ad8e 100644
--- a/BHPD/01-DNN-Regression.ipynb
+++ b/BHPD/01-DNN-Regression.ipynb
@@ -113,10 +113,13 @@
"text": [
"\n",
"FIDLE 2020 - Practical Work Module\n",
- "Version : 0.4.3\n",
- "Run time : Friday 28 February 2020, 10:21:04\n",
+ "Version : 0.5.2\n",
+ "Run time : Tuesday 8 September 2020, 18:58:03\n",
"TensorFlow version : 2.0.0\n",
- "Keras version : 2.2.4-tf\n"
+ "Keras version : 2.2.4-tf\n",
+ "Current place : Fidle at HOME\n",
+ "Dataset dir : /home/pjluc/datasets\n",
+ "Update keras cache : Yes\n"
]
}
],
@@ -132,8 +135,7 @@
"sys.path.append('..')\n",
"import fidle.pwk as ooo\n",
"\n",
- "ooo.init()\n",
- "os.makedirs('./run/', mode=0o750, exist_ok=True)"
+ "place, dataset_dir = ooo.init(places={'MyLaptop':'/path/to/datasets'})"
]
},
{
@@ -147,10 +149,12 @@
]
},
{
- "cell_type": "raw",
+ "cell_type": "code",
+ "execution_count": 2,
"metadata": {},
+ "outputs": [],
"source": [
- "(x_train, y_train), (x_test, y_test) = keras.datasets.boston_housing.load_data(test_split=0.2, seed=113)"
+ "# (x_train, y_train), (x_test, y_test) = keras.datasets.boston_housing.load_data(test_split=0.2, seed=113)"
]
},
{
@@ -163,103 +167,103 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83\" ><caption>Few lines of the dataset :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> <th class=\"col_heading level0 col13\" >medv</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3\" ><caption>Few lines of the dataset :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> <th class=\"col_heading level0 col13\" >medv</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col0\" class=\"data row0 col0\" >0.01</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col1\" class=\"data row0 col1\" >18.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col2\" class=\"data row0 col2\" >2.31</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col3\" class=\"data row0 col3\" >0.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col4\" class=\"data row0 col4\" >0.54</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col5\" class=\"data row0 col5\" >6.58</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col6\" class=\"data row0 col6\" >65.20</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col7\" class=\"data row0 col7\" >4.09</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col8\" class=\"data row0 col8\" >1.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col9\" class=\"data row0 col9\" >296.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col10\" class=\"data row0 col10\" >15.30</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col11\" class=\"data row0 col11\" >396.90</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col12\" class=\"data row0 col12\" >4.98</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row0_col13\" class=\"data row0 col13\" >24.00</td>\n",
+ " <th id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col0\" class=\"data row0 col0\" >0.01</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col1\" class=\"data row0 col1\" >18.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col2\" class=\"data row0 col2\" >2.31</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col3\" class=\"data row0 col3\" >0.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col4\" class=\"data row0 col4\" >0.54</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col5\" class=\"data row0 col5\" >6.58</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col6\" class=\"data row0 col6\" >65.20</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col7\" class=\"data row0 col7\" >4.09</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col8\" class=\"data row0 col8\" >1.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col9\" class=\"data row0 col9\" >296.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col10\" class=\"data row0 col10\" >15.30</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col11\" class=\"data row0 col11\" >396.90</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col12\" class=\"data row0 col12\" >4.98</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row0_col13\" class=\"data row0 col13\" >24.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col0\" class=\"data row1 col0\" >0.03</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col1\" class=\"data row1 col1\" >0.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col2\" class=\"data row1 col2\" >7.07</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col4\" class=\"data row1 col4\" >0.47</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col5\" class=\"data row1 col5\" >6.42</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col6\" class=\"data row1 col6\" >78.90</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col7\" class=\"data row1 col7\" >4.97</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col8\" class=\"data row1 col8\" >2.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col9\" class=\"data row1 col9\" >242.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col10\" class=\"data row1 col10\" >17.80</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col11\" class=\"data row1 col11\" >396.90</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col12\" class=\"data row1 col12\" >9.14</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row1_col13\" class=\"data row1 col13\" >21.60</td>\n",
+ " <th id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col0\" class=\"data row1 col0\" >0.03</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col1\" class=\"data row1 col1\" >0.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col2\" class=\"data row1 col2\" >7.07</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col4\" class=\"data row1 col4\" >0.47</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col5\" class=\"data row1 col5\" >6.42</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col6\" class=\"data row1 col6\" >78.90</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col7\" class=\"data row1 col7\" >4.97</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col8\" class=\"data row1 col8\" >2.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col9\" class=\"data row1 col9\" >242.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col10\" class=\"data row1 col10\" >17.80</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col11\" class=\"data row1 col11\" >396.90</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col12\" class=\"data row1 col12\" >9.14</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row1_col13\" class=\"data row1 col13\" >21.60</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col0\" class=\"data row2 col0\" >0.03</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col1\" class=\"data row2 col1\" >0.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col2\" class=\"data row2 col2\" >7.07</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col3\" class=\"data row2 col3\" >0.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col4\" class=\"data row2 col4\" >0.47</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col5\" class=\"data row2 col5\" >7.18</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col6\" class=\"data row2 col6\" >61.10</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col7\" class=\"data row2 col7\" >4.97</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col8\" class=\"data row2 col8\" >2.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col9\" class=\"data row2 col9\" >242.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col10\" class=\"data row2 col10\" >17.80</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col11\" class=\"data row2 col11\" >392.83</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col12\" class=\"data row2 col12\" >4.03</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row2_col13\" class=\"data row2 col13\" >34.70</td>\n",
+ " <th id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col0\" class=\"data row2 col0\" >0.03</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col1\" class=\"data row2 col1\" >0.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col2\" class=\"data row2 col2\" >7.07</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col3\" class=\"data row2 col3\" >0.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col4\" class=\"data row2 col4\" >0.47</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col5\" class=\"data row2 col5\" >7.18</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col6\" class=\"data row2 col6\" >61.10</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col7\" class=\"data row2 col7\" >4.97</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col8\" class=\"data row2 col8\" >2.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col9\" class=\"data row2 col9\" >242.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col10\" class=\"data row2 col10\" >17.80</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col11\" class=\"data row2 col11\" >392.83</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col12\" class=\"data row2 col12\" >4.03</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row2_col13\" class=\"data row2 col13\" >34.70</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col0\" class=\"data row3 col0\" >0.03</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col2\" class=\"data row3 col2\" >2.18</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col4\" class=\"data row3 col4\" >0.46</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col5\" class=\"data row3 col5\" >7.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col6\" class=\"data row3 col6\" >45.80</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col7\" class=\"data row3 col7\" >6.06</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col8\" class=\"data row3 col8\" >3.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col9\" class=\"data row3 col9\" >222.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col10\" class=\"data row3 col10\" >18.70</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col11\" class=\"data row3 col11\" >394.63</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col12\" class=\"data row3 col12\" >2.94</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row3_col13\" class=\"data row3 col13\" >33.40</td>\n",
+ " <th id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col0\" class=\"data row3 col0\" >0.03</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col2\" class=\"data row3 col2\" >2.18</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col4\" class=\"data row3 col4\" >0.46</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col5\" class=\"data row3 col5\" >7.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col6\" class=\"data row3 col6\" >45.80</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col7\" class=\"data row3 col7\" >6.06</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col8\" class=\"data row3 col8\" >3.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col9\" class=\"data row3 col9\" >222.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col10\" class=\"data row3 col10\" >18.70</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col11\" class=\"data row3 col11\" >394.63</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col12\" class=\"data row3 col12\" >2.94</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row3_col13\" class=\"data row3 col13\" >33.40</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col0\" class=\"data row4 col0\" >0.07</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col2\" class=\"data row4 col2\" >2.18</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col4\" class=\"data row4 col4\" >0.46</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col5\" class=\"data row4 col5\" >7.15</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col6\" class=\"data row4 col6\" >54.20</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col7\" class=\"data row4 col7\" >6.06</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col8\" class=\"data row4 col8\" >3.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col9\" class=\"data row4 col9\" >222.00</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col10\" class=\"data row4 col10\" >18.70</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col11\" class=\"data row4 col11\" >396.90</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col12\" class=\"data row4 col12\" >5.33</td>\n",
- " <td id=\"T_a693c87e_5a0b_11ea_b39f_3573e419ff83row4_col13\" class=\"data row4 col13\" >36.20</td>\n",
+ " <th id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col0\" class=\"data row4 col0\" >0.07</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col2\" class=\"data row4 col2\" >2.18</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col4\" class=\"data row4 col4\" >0.46</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col5\" class=\"data row4 col5\" >7.15</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col6\" class=\"data row4 col6\" >54.20</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col7\" class=\"data row4 col7\" >6.06</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col8\" class=\"data row4 col8\" >3.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col9\" class=\"data row4 col9\" >222.00</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col10\" class=\"data row4 col10\" >18.70</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col11\" class=\"data row4 col11\" >396.90</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col12\" class=\"data row4 col12\" >5.33</td>\n",
+ " <td id=\"T_75c26e2c_f1f4_11ea_a8d7_dbdf8a821ee3row4_col13\" class=\"data row4 col13\" >36.20</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7fdca7b03c90>"
+ "<pandas.io.formats.style.Styler at 0x7f7591be21d0>"
]
},
"metadata": {},
@@ -274,7 +278,7 @@
}
],
"source": [
- "data = pd.read_csv('./data/BostonHousing.csv', header=0)\n",
+ "data = pd.read_csv(f'{dataset_dir}/BHPD/BostonHousing.csv', header=0)\n",
"\n",
"display(data.head(5).style.format(\"{0:.2f}\").set_caption(\"Few lines of the dataset :\"))\n",
"print('Missing Data : ',data.isna().sum().sum(), ' Shape is : ', data.shape)"
@@ -293,7 +297,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
@@ -338,146 +342,146 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83\" ><caption>Before normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3\" ><caption>Before normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
+ " <th id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row1_col0\" class=\"data row1 col0\" >3.90</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row1_col1\" class=\"data row1 col1\" >10.85</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row1_col2\" class=\"data row1 col2\" >11.45</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row1_col3\" class=\"data row1 col3\" >0.07</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row1_col4\" class=\"data row1 col4\" >0.56</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row1_col5\" class=\"data row1 col5\" >6.29</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row1_col6\" class=\"data row1 col6\" >69.43</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row1_col7\" class=\"data row1 col7\" >3.78</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row1_col8\" class=\"data row1 col8\" >9.97</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row1_col9\" class=\"data row1 col9\" >418.34</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row1_col10\" class=\"data row1 col10\" >18.50</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row1_col11\" class=\"data row1 col11\" >352.75</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row1_col12\" class=\"data row1 col12\" >12.70</td>\n",
+ " <th id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row1_col0\" class=\"data row1 col0\" >3.92</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row1_col1\" class=\"data row1 col1\" >10.43</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row1_col2\" class=\"data row1 col2\" >11.36</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row1_col3\" class=\"data row1 col3\" >0.08</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row1_col4\" class=\"data row1 col4\" >0.56</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row1_col5\" class=\"data row1 col5\" >6.27</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row1_col6\" class=\"data row1 col6\" >69.73</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row1_col7\" class=\"data row1 col7\" >3.78</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row1_col8\" class=\"data row1 col8\" >9.67</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row1_col9\" class=\"data row1 col9\" >410.66</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row1_col10\" class=\"data row1 col10\" >18.49</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row1_col11\" class=\"data row1 col11\" >352.04</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row1_col12\" class=\"data row1 col12\" >12.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row2_col0\" class=\"data row2 col0\" >9.32</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row2_col1\" class=\"data row2 col1\" >23.12</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row2_col2\" class=\"data row2 col2\" >6.85</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row2_col3\" class=\"data row2 col3\" >0.26</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row2_col4\" class=\"data row2 col4\" >0.12</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row2_col5\" class=\"data row2 col5\" >0.74</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row2_col6\" class=\"data row2 col6\" >28.13</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row2_col7\" class=\"data row2 col7\" >2.15</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row2_col8\" class=\"data row2 col8\" >8.97</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row2_col9\" class=\"data row2 col9\" >171.92</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row2_col10\" class=\"data row2 col10\" >2.24</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row2_col11\" class=\"data row2 col11\" >94.26</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row2_col12\" class=\"data row2 col12\" >7.11</td>\n",
+ " <th id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row2_col0\" class=\"data row2 col0\" >9.18</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row2_col1\" class=\"data row2 col1\" >21.83</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row2_col2\" class=\"data row2 col2\" >6.91</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row2_col3\" class=\"data row2 col3\" >0.27</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row2_col4\" class=\"data row2 col4\" >0.12</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row2_col5\" class=\"data row2 col5\" >0.74</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row2_col6\" class=\"data row2 col6\" >28.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row2_col7\" class=\"data row2 col7\" >2.15</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row2_col8\" class=\"data row2 col8\" >8.81</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row2_col9\" class=\"data row2 col9\" >170.66</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row2_col10\" class=\"data row2 col10\" >2.18</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row2_col11\" class=\"data row2 col11\" >97.98</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row2_col12\" class=\"data row2 col12\" >7.34</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row3_col0\" class=\"data row3 col0\" >0.01</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row3_col2\" class=\"data row3 col2\" >0.46</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row3_col4\" class=\"data row3 col4\" >0.39</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row3_col5\" class=\"data row3 col5\" >3.56</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row3_col6\" class=\"data row3 col6\" >6.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row3_col7\" class=\"data row3 col7\" >1.13</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row3_col8\" class=\"data row3 col8\" >1.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row3_col9\" class=\"data row3 col9\" >187.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row3_col10\" class=\"data row3 col10\" >12.60</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row3_col11\" class=\"data row3 col11\" >0.32</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row3_col12\" class=\"data row3 col12\" >1.73</td>\n",
+ " <th id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row3_col0\" class=\"data row3 col0\" >0.01</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row3_col2\" class=\"data row3 col2\" >0.74</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row3_col4\" class=\"data row3 col4\" >0.39</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row3_col5\" class=\"data row3 col5\" >3.56</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row3_col6\" class=\"data row3 col6\" >2.90</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row3_col7\" class=\"data row3 col7\" >1.13</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row3_col8\" class=\"data row3 col8\" >1.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row3_col9\" class=\"data row3 col9\" >187.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row3_col10\" class=\"data row3 col10\" >12.60</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row3_col11\" class=\"data row3 col11\" >0.32</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row3_col12\" class=\"data row3 col12\" >1.73</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row4_col0\" class=\"data row4 col0\" >0.08</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row4_col2\" class=\"data row4 col2\" >5.19</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row4_col4\" class=\"data row4 col4\" >0.45</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row4_col5\" class=\"data row4 col5\" >5.88</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row4_col6\" class=\"data row4 col6\" >45.62</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row4_col7\" class=\"data row4 col7\" >2.07</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row4_col8\" class=\"data row4 col8\" >4.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row4_col9\" class=\"data row4 col9\" >281.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row4_col10\" class=\"data row4 col10\" >17.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row4_col11\" class=\"data row4 col11\" >371.07</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row4_col12\" class=\"data row4 col12\" >6.97</td>\n",
+ " <th id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row4_col0\" class=\"data row4 col0\" >0.09</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row4_col2\" class=\"data row4 col2\" >5.22</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row4_col4\" class=\"data row4 col4\" >0.45</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row4_col5\" class=\"data row4 col5\" >5.87</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row4_col6\" class=\"data row4 col6\" >47.40</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row4_col7\" class=\"data row4 col7\" >2.08</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row4_col8\" class=\"data row4 col8\" >4.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row4_col9\" class=\"data row4 col9\" >277.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row4_col10\" class=\"data row4 col10\" >17.33</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row4_col11\" class=\"data row4 col11\" >374.59</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row4_col12\" class=\"data row4 col12\" >7.23</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row5_col0\" class=\"data row5 col0\" >0.31</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row5_col1\" class=\"data row5 col1\" >0.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row5_col2\" class=\"data row5 col2\" >9.90</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row5_col3\" class=\"data row5 col3\" >0.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row5_col4\" class=\"data row5 col4\" >0.54</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row5_col5\" class=\"data row5 col5\" >6.22</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row5_col6\" class=\"data row5 col6\" >79.50</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row5_col7\" class=\"data row5 col7\" >3.08</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row5_col8\" class=\"data row5 col8\" >5.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row5_col9\" class=\"data row5 col9\" >337.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row5_col10\" class=\"data row5 col10\" >19.10</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row5_col11\" class=\"data row5 col11\" >390.84</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row5_col12\" class=\"data row5 col12\" >11.49</td>\n",
+ " <th id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row5_col0\" class=\"data row5 col0\" >0.29</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row5_col1\" class=\"data row5 col1\" >0.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row5_col2\" class=\"data row5 col2\" >9.69</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row5_col3\" class=\"data row5 col3\" >0.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row5_col4\" class=\"data row5 col4\" >0.54</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row5_col5\" class=\"data row5 col5\" >6.18</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row5_col6\" class=\"data row5 col6\" >79.50</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row5_col7\" class=\"data row5 col7\" >3.10</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row5_col8\" class=\"data row5 col8\" >5.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row5_col9\" class=\"data row5 col9\" >332.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row5_col10\" class=\"data row5 col10\" >19.10</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row5_col11\" class=\"data row5 col11\" >390.84</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row5_col12\" class=\"data row5 col12\" >11.43</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row6_col0\" class=\"data row6 col0\" >4.33</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row6_col1\" class=\"data row6 col1\" >12.50</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row6_col2\" class=\"data row6 col2\" >18.10</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row6_col3\" class=\"data row6 col3\" >0.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row6_col4\" class=\"data row6 col4\" >0.63</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row6_col5\" class=\"data row6 col5\" >6.65</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row6_col6\" class=\"data row6 col6\" >94.47</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row6_col7\" class=\"data row6 col7\" >5.21</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row6_col8\" class=\"data row6 col8\" >24.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row6_col9\" class=\"data row6 col9\" >666.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row6_col10\" class=\"data row6 col10\" >20.20</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row6_col11\" class=\"data row6 col11\" >395.67</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row6_col12\" class=\"data row6 col12\" >17.07</td>\n",
+ " <th id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row6_col0\" class=\"data row6 col0\" >3.85</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row6_col1\" class=\"data row6 col1\" >12.50</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row6_col2\" class=\"data row6 col2\" >18.10</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row6_col3\" class=\"data row6 col3\" >0.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row6_col4\" class=\"data row6 col4\" >0.62</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row6_col5\" class=\"data row6 col5\" >6.62</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row6_col6\" class=\"data row6 col6\" >94.30</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row6_col7\" class=\"data row6 col7\" >5.23</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row6_col8\" class=\"data row6 col8\" >24.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row6_col9\" class=\"data row6 col9\" >666.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row6_col10\" class=\"data row6 col10\" >20.20</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row6_col11\" class=\"data row6 col11\" >395.63</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row6_col12\" class=\"data row6 col12\" >17.26</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row7_col0\" class=\"data row7 col0\" >88.98</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row7_col1\" class=\"data row7 col1\" >100.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row7_col2\" class=\"data row7 col2\" >27.74</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row7_col3\" class=\"data row7 col3\" >1.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row7_col4\" class=\"data row7 col4\" >0.87</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row7_col5\" class=\"data row7 col5\" >8.78</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row7_col6\" class=\"data row7 col6\" >100.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row7_col7\" class=\"data row7 col7\" >12.13</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row7_col8\" class=\"data row7 col8\" >24.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row7_col9\" class=\"data row7 col9\" >711.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row7_col10\" class=\"data row7 col10\" >22.00</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row7_col11\" class=\"data row7 col11\" >396.90</td>\n",
- " <td id=\"T_a8cfb882_5a0b_11ea_b39f_3573e419ff83row7_col12\" class=\"data row7 col12\" >37.97</td>\n",
+ " <th id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row7_col0\" class=\"data row7 col0\" >88.98</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row7_col1\" class=\"data row7 col1\" >95.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row7_col2\" class=\"data row7 col2\" >27.74</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row7_col3\" class=\"data row7 col3\" >1.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row7_col4\" class=\"data row7 col4\" >0.87</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row7_col5\" class=\"data row7 col5\" >8.78</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row7_col6\" class=\"data row7 col6\" >100.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row7_col7\" class=\"data row7 col7\" >12.13</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row7_col8\" class=\"data row7 col8\" >24.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row7_col9\" class=\"data row7 col9\" >711.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row7_col10\" class=\"data row7 col10\" >22.00</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row7_col11\" class=\"data row7 col11\" >396.90</td>\n",
+ " <td id=\"T_75cb9736_f1f4_11ea_a8d7_dbdf8a821ee3row7_col12\" class=\"data row7 col12\" >37.97</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7fdd211e0850>"
+ "<pandas.io.formats.style.Styler at 0x7f760c015bd0>"
]
},
"metadata": {},
@@ -487,139 +491,139 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83\" ><caption>After normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3\" ><caption>After normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
+ " <th id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row1_col0\" class=\"data row1 col0\" >0.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row1_col1\" class=\"data row1 col1\" >-0.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row1_col2\" class=\"data row1 col2\" >0.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row1_col4\" class=\"data row1 col4\" >-0.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row1_col5\" class=\"data row1 col5\" >-0.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row1_col6\" class=\"data row1 col6\" >0.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row1_col7\" class=\"data row1 col7\" >0.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row1_col8\" class=\"data row1 col8\" >-0.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row1_col9\" class=\"data row1 col9\" >0.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row1_col10\" class=\"data row1 col10\" >0.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row1_col11\" class=\"data row1 col11\" >0.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row1_col12\" class=\"data row1 col12\" >-0.00</td>\n",
+ " <th id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row1_col0\" class=\"data row1 col0\" >-0.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row1_col1\" class=\"data row1 col1\" >0.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row1_col2\" class=\"data row1 col2\" >-0.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row1_col4\" class=\"data row1 col4\" >-0.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row1_col5\" class=\"data row1 col5\" >0.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row1_col6\" class=\"data row1 col6\" >0.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row1_col7\" class=\"data row1 col7\" >0.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row1_col8\" class=\"data row1 col8\" >0.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row1_col9\" class=\"data row1 col9\" >-0.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row1_col10\" class=\"data row1 col10\" >0.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row1_col11\" class=\"data row1 col11\" >-0.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row1_col12\" class=\"data row1 col12\" >-0.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row2_col0\" class=\"data row2 col0\" >1.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row2_col1\" class=\"data row2 col1\" >1.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row2_col3\" class=\"data row2 col3\" >1.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row2_col4\" class=\"data row2 col4\" >1.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row2_col5\" class=\"data row2 col5\" >1.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row2_col6\" class=\"data row2 col6\" >1.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row2_col7\" class=\"data row2 col7\" >1.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row2_col8\" class=\"data row2 col8\" >1.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row2_col9\" class=\"data row2 col9\" >1.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row2_col10\" class=\"data row2 col10\" >1.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row2_col11\" class=\"data row2 col11\" >1.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row2_col12\" class=\"data row2 col12\" >1.00</td>\n",
+ " <th id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row2_col0\" class=\"data row2 col0\" >1.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row2_col1\" class=\"data row2 col1\" >1.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row2_col3\" class=\"data row2 col3\" >1.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row2_col4\" class=\"data row2 col4\" >1.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row2_col5\" class=\"data row2 col5\" >1.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row2_col6\" class=\"data row2 col6\" >1.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row2_col7\" class=\"data row2 col7\" >1.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row2_col8\" class=\"data row2 col8\" >1.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row2_col9\" class=\"data row2 col9\" >1.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row2_col10\" class=\"data row2 col10\" >1.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row2_col11\" class=\"data row2 col11\" >1.00</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row2_col12\" class=\"data row2 col12\" >1.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row3_col0\" class=\"data row3 col0\" >-0.42</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row3_col1\" class=\"data row3 col1\" >-0.47</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row3_col2\" class=\"data row3 col2\" >-1.60</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row3_col3\" class=\"data row3 col3\" >-0.28</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row3_col4\" class=\"data row3 col4\" >-1.50</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row3_col5\" class=\"data row3 col5\" >-3.72</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row3_col6\" class=\"data row3 col6\" >-2.25</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row3_col7\" class=\"data row3 col7\" >-1.23</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row3_col8\" class=\"data row3 col8\" >-1.00</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row3_col9\" class=\"data row3 col9\" >-1.35</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row3_col10\" class=\"data row3 col10\" >-2.63</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row3_col11\" class=\"data row3 col11\" >-3.74</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row3_col12\" class=\"data row3 col12\" >-1.54</td>\n",
+ " <th id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row3_col0\" class=\"data row3 col0\" >-0.43</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row3_col1\" class=\"data row3 col1\" >-0.48</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row3_col2\" class=\"data row3 col2\" >-1.54</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row3_col3\" class=\"data row3 col3\" >-0.30</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row3_col4\" class=\"data row3 col4\" >-1.42</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row3_col5\" class=\"data row3 col5\" >-3.67</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row3_col6\" class=\"data row3 col6\" >-2.39</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row3_col7\" class=\"data row3 col7\" >-1.23</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row3_col8\" class=\"data row3 col8\" >-0.98</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row3_col9\" class=\"data row3 col9\" >-1.31</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row3_col10\" class=\"data row3 col10\" >-2.70</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row3_col11\" class=\"data row3 col11\" >-3.59</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row3_col12\" class=\"data row3 col12\" >-1.52</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row4_col0\" class=\"data row4 col0\" >-0.41</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row4_col1\" class=\"data row4 col1\" >-0.47</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row4_col2\" class=\"data row4 col2\" >-0.91</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row4_col3\" class=\"data row4 col3\" >-0.28</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row4_col4\" class=\"data row4 col4\" >-0.91</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row4_col5\" class=\"data row4 col5\" >-0.56</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row4_col6\" class=\"data row4 col6\" >-0.85</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row4_col7\" class=\"data row4 col7\" >-0.80</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row4_col8\" class=\"data row4 col8\" >-0.67</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row4_col9\" class=\"data row4 col9\" >-0.80</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row4_col10\" class=\"data row4 col10\" >-0.67</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row4_col11\" class=\"data row4 col11\" >0.19</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row4_col12\" class=\"data row4 col12\" >-0.81</td>\n",
+ " <th id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row4_col0\" class=\"data row4 col0\" >-0.42</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row4_col1\" class=\"data row4 col1\" >-0.48</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row4_col2\" class=\"data row4 col2\" >-0.89</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row4_col3\" class=\"data row4 col3\" >-0.30</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row4_col4\" class=\"data row4 col4\" >-0.90</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row4_col5\" class=\"data row4 col5\" >-0.53</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row4_col6\" class=\"data row4 col6\" >-0.80</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row4_col7\" class=\"data row4 col7\" >-0.79</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row4_col8\" class=\"data row4 col8\" >-0.64</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row4_col9\" class=\"data row4 col9\" >-0.78</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row4_col10\" class=\"data row4 col10\" >-0.53</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row4_col11\" class=\"data row4 col11\" >0.23</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row4_col12\" class=\"data row4 col12\" >-0.77</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row5_col0\" class=\"data row5 col0\" >-0.39</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row5_col1\" class=\"data row5 col1\" >-0.47</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row5_col2\" class=\"data row5 col2\" >-0.23</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row5_col3\" class=\"data row5 col3\" >-0.28</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row5_col4\" class=\"data row5 col4\" >-0.18</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row5_col5\" class=\"data row5 col5\" >-0.10</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row5_col6\" class=\"data row5 col6\" >0.36</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row5_col7\" class=\"data row5 col7\" >-0.33</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row5_col8\" class=\"data row5 col8\" >-0.55</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row5_col9\" class=\"data row5 col9\" >-0.47</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row5_col10\" class=\"data row5 col10\" >0.27</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row5_col11\" class=\"data row5 col11\" >0.40</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row5_col12\" class=\"data row5 col12\" >-0.17</td>\n",
+ " <th id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row5_col0\" class=\"data row5 col0\" >-0.40</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row5_col1\" class=\"data row5 col1\" >-0.48</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row5_col2\" class=\"data row5 col2\" >-0.24</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row5_col3\" class=\"data row5 col3\" >-0.30</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row5_col4\" class=\"data row5 col4\" >-0.17</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row5_col5\" class=\"data row5 col5\" >-0.11</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row5_col6\" class=\"data row5 col6\" >0.35</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row5_col7\" class=\"data row5 col7\" >-0.32</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row5_col8\" class=\"data row5 col8\" >-0.53</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row5_col9\" class=\"data row5 col9\" >-0.46</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row5_col10\" class=\"data row5 col10\" >0.28</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row5_col11\" class=\"data row5 col11\" >0.40</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row5_col12\" class=\"data row5 col12\" >-0.20</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row6_col0\" class=\"data row6 col0\" >0.05</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row6_col1\" class=\"data row6 col1\" >0.07</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row6_col2\" class=\"data row6 col2\" >0.97</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row6_col3\" class=\"data row6 col3\" >-0.28</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row6_col4\" class=\"data row6 col4\" >0.63</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row6_col5\" class=\"data row6 col5\" >0.48</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row6_col6\" class=\"data row6 col6\" >0.89</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row6_col7\" class=\"data row6 col7\" >0.67</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row6_col8\" class=\"data row6 col8\" >1.56</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row6_col9\" class=\"data row6 col9\" >1.44</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row6_col10\" class=\"data row6 col10\" >0.76</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row6_col11\" class=\"data row6 col11\" >0.46</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row6_col12\" class=\"data row6 col12\" >0.61</td>\n",
+ " <th id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row6_col0\" class=\"data row6 col0\" >-0.01</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row6_col1\" class=\"data row6 col1\" >0.09</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row6_col2\" class=\"data row6 col2\" >0.98</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row6_col3\" class=\"data row6 col3\" >-0.30</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row6_col4\" class=\"data row6 col4\" >0.57</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row6_col5\" class=\"data row6 col5\" >0.47</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row6_col6\" class=\"data row6 col6\" >0.88</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row6_col7\" class=\"data row6 col7\" >0.68</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row6_col8\" class=\"data row6 col8\" >1.63</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row6_col9\" class=\"data row6 col9\" >1.50</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row6_col10\" class=\"data row6 col10\" >0.79</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row6_col11\" class=\"data row6 col11\" >0.44</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row6_col12\" class=\"data row6 col12\" >0.59</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row7_col0\" class=\"data row7 col0\" >9.13</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row7_col1\" class=\"data row7 col1\" >3.86</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row7_col2\" class=\"data row7 col2\" >2.38</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row7_col3\" class=\"data row7 col3\" >3.62</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row7_col4\" class=\"data row7 col4\" >2.70</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row7_col5\" class=\"data row7 col5\" >3.38</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row7_col6\" class=\"data row7 col6\" >1.09</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row7_col7\" class=\"data row7 col7\" >3.89</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row7_col8\" class=\"data row7 col8\" >1.56</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row7_col9\" class=\"data row7 col9\" >1.70</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row7_col10\" class=\"data row7 col10\" >1.57</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row7_col11\" class=\"data row7 col11\" >0.47</td>\n",
- " <td id=\"T_a8f0d9fe_5a0b_11ea_b39f_3573e419ff83row7_col12\" class=\"data row7 col12\" >3.55</td>\n",
+ " <th id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row7_col0\" class=\"data row7 col0\" >9.26</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row7_col1\" class=\"data row7 col1\" >3.87</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row7_col2\" class=\"data row7 col2\" >2.37</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row7_col3\" class=\"data row7 col3\" >3.34</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row7_col4\" class=\"data row7 col4\" >2.69</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row7_col5\" class=\"data row7 col5\" >3.41</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row7_col6\" class=\"data row7 col6\" >1.08</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row7_col7\" class=\"data row7 col7\" >3.89</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row7_col8\" class=\"data row7 col8\" >1.63</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row7_col9\" class=\"data row7 col9\" >1.76</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row7_col10\" class=\"data row7 col10\" >1.61</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row7_col11\" class=\"data row7 col11\" >0.46</td>\n",
+ " <td id=\"T_75d25418_f1f4_11ea_a8d7_dbdf8a821ee3row7_col12\" class=\"data row7 col12\" >3.41</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7fdca7b03890>"
+ "<pandas.io.formats.style.Styler at 0x7f758fd31190>"
]
},
"metadata": {},
@@ -629,91 +633,91 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83\" ><caption>Few lines of the dataset :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3\" ><caption>Few lines of the dataset :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83level0_row0\" class=\"row_heading level0 row0\" >338</th>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row0_col0\" class=\"data row0 col0\" >-0.41</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row0_col1\" class=\"data row0 col1\" >-0.47</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row0_col2\" class=\"data row0 col2\" >-0.91</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row0_col3\" class=\"data row0 col3\" >-0.28</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row0_col4\" class=\"data row0 col4\" >-0.38</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row0_col5\" class=\"data row0 col5\" >-0.32</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row0_col6\" class=\"data row0 col6\" >-1.14</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row0_col7\" class=\"data row0 col7\" >0.48</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row0_col8\" class=\"data row0 col8\" >-0.55</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row0_col9\" class=\"data row0 col9\" >-1.13</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row0_col10\" class=\"data row0 col10\" >0.76</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row0_col11\" class=\"data row0 col11\" >0.46</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row0_col12\" class=\"data row0 col12\" >-0.59</td>\n",
+ " <th id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3level0_row0\" class=\"row_heading level0 row0\" >186</th>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row0_col0\" class=\"data row0 col0\" >-0.42</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row0_col1\" class=\"data row0 col1\" >-0.48</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row0_col2\" class=\"data row0 col2\" >-1.29</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row0_col3\" class=\"data row0 col3\" >-0.30</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row0_col4\" class=\"data row0 col4\" >-0.60</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row0_col5\" class=\"data row0 col5\" >2.12</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row0_col6\" class=\"data row0 col6\" >-0.58</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row0_col7\" class=\"data row0 col7\" >-0.27</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row0_col8\" class=\"data row0 col8\" >-0.76</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row0_col9\" class=\"data row0 col9\" >-1.28</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row0_col10\" class=\"data row0 col10\" >-0.32</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row0_col11\" class=\"data row0 col11\" >0.41</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row0_col12\" class=\"data row0 col12\" >-1.15</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83level0_row1\" class=\"row_heading level0 row1\" >135</th>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row1_col0\" class=\"data row1 col0\" >-0.36</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row1_col1\" class=\"data row1 col1\" >-0.47</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row1_col2\" class=\"data row1 col2\" >1.52</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row1_col3\" class=\"data row1 col3\" >-0.28</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row1_col4\" class=\"data row1 col4\" >0.57</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row1_col5\" class=\"data row1 col5\" >0.05</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row1_col6\" class=\"data row1 col6\" >1.02</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row1_col7\" class=\"data row1 col7\" >-0.78</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row1_col8\" class=\"data row1 col8\" >-0.67</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row1_col9\" class=\"data row1 col9\" >0.11</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row1_col10\" class=\"data row1 col10\" >1.21</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row1_col11\" class=\"data row1 col11\" >0.44</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row1_col12\" class=\"data row1 col12\" >0.60</td>\n",
+ " <th id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3level0_row1\" class=\"row_heading level0 row1\" >452</th>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row1_col0\" class=\"data row1 col0\" >0.13</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row1_col1\" class=\"data row1 col1\" >-0.48</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row1_col2\" class=\"data row1 col2\" >0.98</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row1_col3\" class=\"data row1 col3\" >-0.30</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row1_col4\" class=\"data row1 col4\" >1.33</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row1_col5\" class=\"data row1 col5\" >0.04</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row1_col6\" class=\"data row1 col6\" >0.79</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row1_col7\" class=\"data row1 col7\" >-0.66</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row1_col8\" class=\"data row1 col8\" >1.63</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row1_col9\" class=\"data row1 col9\" >1.50</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row1_col10\" class=\"data row1 col10\" >0.79</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row1_col11\" class=\"data row1 col11\" >0.34</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row1_col12\" class=\"data row1 col12\" >0.59</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83level0_row2\" class=\"row_heading level0 row2\" >276</th>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row2_col0\" class=\"data row2 col0\" >-0.41</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row2_col1\" class=\"data row2 col1\" >1.26</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row2_col2\" class=\"data row2 col2\" >-0.74</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row2_col3\" class=\"data row2 col3\" >3.62</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row2_col4\" class=\"data row2 col4\" >-0.97</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row2_col5\" class=\"data row2 col5\" >1.32</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row2_col6\" class=\"data row2 col6\" >-0.73</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row2_col7\" class=\"data row2 col7\" >0.47</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row2_col8\" class=\"data row2 col8\" >-0.67</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row2_col9\" class=\"data row2 col9\" >-0.96</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row2_col10\" class=\"data row2 col10\" >-0.40</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row2_col11\" class=\"data row2 col11\" >0.39</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row2_col12\" class=\"data row2 col12\" >-0.94</td>\n",
+ " <th id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3level0_row2\" class=\"row_heading level0 row2\" >465</th>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row2_col0\" class=\"data row2 col0\" >-0.08</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row2_col1\" class=\"data row2 col1\" >-0.48</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row2_col2\" class=\"data row2 col2\" >0.98</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row2_col3\" class=\"data row2 col3\" >-0.30</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row2_col4\" class=\"data row2 col4\" >0.84</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row2_col5\" class=\"data row2 col5\" >-0.69</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row2_col6\" class=\"data row2 col6\" >-0.77</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row2_col7\" class=\"data row2 col7\" >-0.33</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row2_col8\" class=\"data row2 col8\" >1.63</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row2_col9\" class=\"data row2 col9\" >1.50</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row2_col10\" class=\"data row2 col10\" >0.79</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row2_col11\" class=\"data row2 col11\" >-0.18</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row2_col12\" class=\"data row2 col12\" >0.17</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83level0_row3\" class=\"row_heading level0 row3\" >410</th>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row3_col0\" class=\"data row3 col0\" >5.07</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row3_col1\" class=\"data row3 col1\" >-0.47</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row3_col2\" class=\"data row3 col2\" >0.97</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row3_col3\" class=\"data row3 col3\" >-0.28</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row3_col4\" class=\"data row3 col4\" >0.33</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row3_col5\" class=\"data row3 col5\" >-0.73</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row3_col6\" class=\"data row3 col6\" >1.09</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row3_col7\" class=\"data row3 col7\" >-1.10</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row3_col8\" class=\"data row3 col8\" >1.56</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row3_col9\" class=\"data row3 col9\" >1.44</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row3_col10\" class=\"data row3 col10\" >0.76</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row3_col11\" class=\"data row3 col11\" >-3.71</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row3_col12\" class=\"data row3 col12\" >-0.36</td>\n",
+ " <th id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3level0_row3\" class=\"row_heading level0 row3\" >193</th>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row3_col0\" class=\"data row3 col0\" >-0.42</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row3_col1\" class=\"data row3 col1\" >2.27</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row3_col2\" class=\"data row3 col2\" >-1.22</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row3_col3\" class=\"data row3 col3\" >-0.30</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row3_col4\" class=\"data row3 col4\" >-1.34</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row3_col5\" class=\"data row3 col5\" >0.72</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row3_col6\" class=\"data row3 col6\" >-2.14</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row3_col7\" class=\"data row3 col7\" >1.14</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row3_col8\" class=\"data row3 col8\" >-0.98</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row3_col9\" class=\"data row3 col9\" >-0.85</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row3_col10\" class=\"data row3 col10\" >-1.33</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row3_col11\" class=\"data row3 col11\" >0.42</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row3_col12\" class=\"data row3 col12\" >-1.07</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83level0_row4\" class=\"row_heading level0 row4\" >288</th>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row4_col0\" class=\"data row4 col0\" >-0.41</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row4_col1\" class=\"data row4 col1\" >1.80</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row4_col2\" class=\"data row4 col2\" >-0.89</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row4_col3\" class=\"data row4 col3\" >-0.28</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row4_col4\" class=\"data row4 col4\" >-1.33</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row4_col5\" class=\"data row4 col5\" >0.03</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row4_col6\" class=\"data row4 col6\" >-0.85</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row4_col7\" class=\"data row4 col7\" >1.65</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row4_col8\" class=\"data row4 col8\" >-0.44</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row4_col9\" class=\"data row4 col9\" >-0.73</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row4_col10\" class=\"data row4 col10\" >-0.85</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row4_col11\" class=\"data row4 col11\" >0.47</td>\n",
- " <td id=\"T_a8f181ce_5a0b_11ea_b39f_3573e419ff83row4_col12\" class=\"data row4 col12\" >-0.72</td>\n",
+ " <th id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3level0_row4\" class=\"row_heading level0 row4\" >32</th>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row4_col0\" class=\"data row4 col0\" >-0.28</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row4_col1\" class=\"data row4 col1\" >-0.48</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row4_col2\" class=\"data row4 col2\" >-0.47</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row4_col3\" class=\"data row4 col3\" >-0.30</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row4_col4\" class=\"data row4 col4\" >-0.17</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row4_col5\" class=\"data row4 col5\" >-0.43</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row4_col6\" class=\"data row4 col6\" >0.44</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row4_col7\" class=\"data row4 col7\" >0.10</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row4_col8\" class=\"data row4 col8\" >-0.64</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row4_col9\" class=\"data row4 col9\" >-0.61</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row4_col10\" class=\"data row4 col10\" >1.15</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row4_col11\" class=\"data row4 col11\" >-1.22</td>\n",
+ " <td id=\"T_75d30dae_f1f4_11ea_a8d7_dbdf8a821ee3row4_col12\" class=\"data row4 col12\" >2.02</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7fdca873cc10>"
+ "<pandas.io.formats.style.Styler at 0x7f760c0155d0>"
]
},
"metadata": {},
@@ -749,7 +753,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@@ -777,7 +781,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
@@ -829,7 +833,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
@@ -838,205 +842,205 @@
"text": [
"Train on 354 samples, validate on 152 samples\n",
"Epoch 1/100\n",
- "354/354 [==============================] - 2s 5ms/sample - loss: 479.4495 - mae: 19.8349 - mse: 479.4495 - val_loss: 339.4690 - val_mae: 16.6718 - val_mse: 339.4690\n",
+ "354/354 [==============================] - 1s 2ms/sample - loss: 496.9229 - mae: 20.3398 - mse: 496.9229 - val_loss: 419.5401 - val_mae: 18.4986 - val_mse: 419.5401\n",
"Epoch 2/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 238.3182 - mae: 13.1013 - mse: 238.3182 - val_loss: 107.0266 - val_mae: 8.6883 - val_mse: 107.0266\n",
+ "354/354 [==============================] - 0s 177us/sample - loss: 295.5164 - mae: 14.8616 - mse: 295.5164 - val_loss: 186.6298 - val_mae: 11.5436 - val_mse: 186.6298\n",
"Epoch 3/100\n",
- "354/354 [==============================] - 0s 275us/sample - loss: 78.5819 - mae: 6.7526 - mse: 78.5819 - val_loss: 38.3597 - val_mae: 5.0914 - val_mse: 38.3597\n",
+ "354/354 [==============================] - 0s 171us/sample - loss: 114.9580 - mae: 8.2730 - mse: 114.9580 - val_loss: 59.9437 - val_mae: 5.8003 - val_mse: 59.9437\n",
"Epoch 4/100\n",
- "354/354 [==============================] - 0s 280us/sample - loss: 40.6394 - mae: 4.6200 - mse: 40.6394 - val_loss: 21.7235 - val_mae: 3.7289 - val_mse: 21.7235\n",
+ "354/354 [==============================] - 0s 164us/sample - loss: 51.2817 - mae: 5.2744 - mse: 51.2817 - val_loss: 35.3415 - val_mae: 4.3495 - val_mse: 35.3415\n",
"Epoch 5/100\n",
- "354/354 [==============================] - 0s 274us/sample - loss: 27.8613 - mae: 3.7894 - mse: 27.8613 - val_loss: 14.7727 - val_mae: 3.0663 - val_mse: 14.7727\n",
+ "354/354 [==============================] - 0s 169us/sample - loss: 32.2583 - mae: 4.1435 - mse: 32.2583 - val_loss: 25.3969 - val_mae: 3.6065 - val_mse: 25.3969\n",
"Epoch 6/100\n",
- "354/354 [==============================] - 0s 268us/sample - loss: 23.6295 - mae: 3.3540 - mse: 23.6295 - val_loss: 13.9411 - val_mae: 3.0119 - val_mse: 13.9411\n",
+ "354/354 [==============================] - 0s 268us/sample - loss: 25.0037 - mae: 3.6255 - mse: 25.0037 - val_loss: 21.0705 - val_mae: 3.3281 - val_mse: 21.0705\n",
"Epoch 7/100\n",
- "354/354 [==============================] - 0s 287us/sample - loss: 20.9195 - mae: 3.1125 - mse: 20.9195 - val_loss: 12.9257 - val_mae: 2.8701 - val_mse: 12.9257\n",
+ "354/354 [==============================] - 0s 183us/sample - loss: 21.5637 - mae: 3.3349 - mse: 21.5637 - val_loss: 18.8010 - val_mae: 3.0725 - val_mse: 18.8010\n",
"Epoch 8/100\n",
- "354/354 [==============================] - 0s 275us/sample - loss: 18.9373 - mae: 2.9803 - mse: 18.9373 - val_loss: 12.9155 - val_mae: 2.8066 - val_mse: 12.9155\n",
+ "354/354 [==============================] - 0s 208us/sample - loss: 19.2727 - mae: 3.1629 - mse: 19.2727 - val_loss: 17.3783 - val_mae: 2.8856 - val_mse: 17.3783\n",
"Epoch 9/100\n",
- "354/354 [==============================] - 0s 268us/sample - loss: 17.8669 - mae: 2.8926 - mse: 17.8669 - val_loss: 11.1356 - val_mae: 2.5916 - val_mse: 11.1356\n",
+ "354/354 [==============================] - 0s 248us/sample - loss: 17.6151 - mae: 2.9420 - mse: 17.6151 - val_loss: 17.7303 - val_mae: 2.9088 - val_mse: 17.7303\n",
"Epoch 10/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 16.5821 - mae: 2.7416 - mse: 16.5821 - val_loss: 10.5151 - val_mae: 2.4566 - val_mse: 10.5151\n",
+ "354/354 [==============================] - 0s 201us/sample - loss: 16.7331 - mae: 2.8489 - mse: 16.7331 - val_loss: 16.6203 - val_mae: 2.8102 - val_mse: 16.6203\n",
"Epoch 11/100\n",
- "354/354 [==============================] - 0s 282us/sample - loss: 15.8076 - mae: 2.6922 - mse: 15.8076 - val_loss: 10.0317 - val_mae: 2.4424 - val_mse: 10.0317\n",
+ "354/354 [==============================] - 0s 199us/sample - loss: 15.4812 - mae: 2.7647 - mse: 15.4812 - val_loss: 15.9232 - val_mae: 2.8161 - val_mse: 15.9232\n",
"Epoch 12/100\n",
- "354/354 [==============================] - 0s 270us/sample - loss: 15.1360 - mae: 2.6343 - mse: 15.1360 - val_loss: 9.9458 - val_mae: 2.4256 - val_mse: 9.9458\n",
+ "354/354 [==============================] - 0s 215us/sample - loss: 14.9469 - mae: 2.7133 - mse: 14.9469 - val_loss: 14.7353 - val_mae: 2.7331 - val_mse: 14.7353\n",
"Epoch 13/100\n",
- "354/354 [==============================] - 0s 271us/sample - loss: 14.5077 - mae: 2.5719 - mse: 14.5077 - val_loss: 10.0280 - val_mae: 2.4453 - val_mse: 10.0280\n",
+ "354/354 [==============================] - 0s 222us/sample - loss: 14.2610 - mae: 2.6598 - mse: 14.2610 - val_loss: 15.5891 - val_mae: 2.7066 - val_mse: 15.5891\n",
"Epoch 14/100\n",
- "354/354 [==============================] - 0s 275us/sample - loss: 13.9108 - mae: 2.5298 - mse: 13.9108 - val_loss: 10.5295 - val_mae: 2.5410 - val_mse: 10.5295\n",
+ "354/354 [==============================] - 0s 207us/sample - loss: 13.9148 - mae: 2.5804 - mse: 13.9148 - val_loss: 13.8518 - val_mae: 2.6489 - val_mse: 13.8518\n",
"Epoch 15/100\n",
- "354/354 [==============================] - 0s 273us/sample - loss: 13.8502 - mae: 2.4858 - mse: 13.8502 - val_loss: 9.3665 - val_mae: 2.3461 - val_mse: 9.3665\n",
+ "354/354 [==============================] - 0s 206us/sample - loss: 13.2557 - mae: 2.5414 - mse: 13.2557 - val_loss: 14.0806 - val_mae: 2.6050 - val_mse: 14.0806\n",
"Epoch 16/100\n",
- "354/354 [==============================] - 0s 285us/sample - loss: 13.0942 - mae: 2.4782 - mse: 13.0942 - val_loss: 9.3481 - val_mae: 2.3744 - val_mse: 9.3481\n",
+ "354/354 [==============================] - 0s 176us/sample - loss: 13.0313 - mae: 2.5098 - mse: 13.0313 - val_loss: 13.0845 - val_mae: 2.5645 - val_mse: 13.0845\n",
"Epoch 17/100\n",
- "354/354 [==============================] - 0s 278us/sample - loss: 13.1690 - mae: 2.4280 - mse: 13.1690 - val_loss: 9.1439 - val_mae: 2.3094 - val_mse: 9.1439\n",
+ "354/354 [==============================] - 0s 162us/sample - loss: 12.6932 - mae: 2.4334 - mse: 12.6932 - val_loss: 12.7918 - val_mae: 2.5210 - val_mse: 12.7918\n",
"Epoch 18/100\n",
- "354/354 [==============================] - 0s 276us/sample - loss: 12.7339 - mae: 2.3729 - mse: 12.7339 - val_loss: 9.5174 - val_mae: 2.4446 - val_mse: 9.5174\n",
+ "354/354 [==============================] - 0s 161us/sample - loss: 12.1471 - mae: 2.3744 - mse: 12.1471 - val_loss: 12.7903 - val_mae: 2.5516 - val_mse: 12.7903\n",
"Epoch 19/100\n",
- "354/354 [==============================] - 0s 283us/sample - loss: 12.2235 - mae: 2.4115 - mse: 12.2235 - val_loss: 8.9326 - val_mae: 2.3372 - val_mse: 8.9326\n",
+ "354/354 [==============================] - 0s 156us/sample - loss: 11.7664 - mae: 2.3935 - mse: 11.7664 - val_loss: 12.7772 - val_mae: 2.5006 - val_mse: 12.7772\n",
"Epoch 20/100\n",
- "354/354 [==============================] - 0s 274us/sample - loss: 12.3481 - mae: 2.3899 - mse: 12.3481 - val_loss: 8.3864 - val_mae: 2.2178 - val_mse: 8.3864\n",
+ "354/354 [==============================] - 0s 166us/sample - loss: 11.7673 - mae: 2.3442 - mse: 11.7673 - val_loss: 12.2528 - val_mae: 2.4773 - val_mse: 12.2528\n",
"Epoch 21/100\n",
- "354/354 [==============================] - 0s 287us/sample - loss: 11.8008 - mae: 2.3316 - mse: 11.8008 - val_loss: 9.9560 - val_mae: 2.4258 - val_mse: 9.9560\n",
+ "354/354 [==============================] - 0s 166us/sample - loss: 11.5515 - mae: 2.3222 - mse: 11.5515 - val_loss: 11.9364 - val_mae: 2.4422 - val_mse: 11.9364\n",
"Epoch 22/100\n",
- "354/354 [==============================] - 0s 285us/sample - loss: 11.7082 - mae: 2.3234 - mse: 11.7082 - val_loss: 10.0376 - val_mae: 2.4476 - val_mse: 10.0376\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 11.1944 - mae: 2.2782 - mse: 11.1944 - val_loss: 12.1765 - val_mae: 2.4741 - val_mse: 12.1765\n",
"Epoch 23/100\n",
- "354/354 [==============================] - 0s 296us/sample - loss: 11.5111 - mae: 2.3072 - mse: 11.5111 - val_loss: 8.4852 - val_mae: 2.2507 - val_mse: 8.4852\n",
+ "354/354 [==============================] - 0s 156us/sample - loss: 10.8719 - mae: 2.2615 - mse: 10.8719 - val_loss: 11.6195 - val_mae: 2.4146 - val_mse: 11.6195\n",
"Epoch 24/100\n",
- "354/354 [==============================] - 0s 268us/sample - loss: 11.1780 - mae: 2.2558 - mse: 11.1780 - val_loss: 9.6494 - val_mae: 2.4201 - val_mse: 9.6494\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 10.7249 - mae: 2.2482 - mse: 10.7249 - val_loss: 11.6477 - val_mae: 2.4269 - val_mse: 11.6477\n",
"Epoch 25/100\n",
- "354/354 [==============================] - 0s 282us/sample - loss: 11.1300 - mae: 2.2755 - mse: 11.1300 - val_loss: 9.2204 - val_mae: 2.2981 - val_mse: 9.2204\n",
+ "354/354 [==============================] - 0s 167us/sample - loss: 10.4705 - mae: 2.2339 - mse: 10.4705 - val_loss: 11.7473 - val_mae: 2.4594 - val_mse: 11.7473\n",
"Epoch 26/100\n",
- "354/354 [==============================] - 0s 266us/sample - loss: 10.9627 - mae: 2.2352 - mse: 10.9627 - val_loss: 8.7161 - val_mae: 2.3192 - val_mse: 8.7161\n",
+ "354/354 [==============================] - 0s 162us/sample - loss: 10.4140 - mae: 2.2127 - mse: 10.4140 - val_loss: 11.5549 - val_mae: 2.4450 - val_mse: 11.5549\n",
"Epoch 27/100\n",
- "354/354 [==============================] - 0s 272us/sample - loss: 11.0313 - mae: 2.2303 - mse: 11.0313 - val_loss: 8.0200 - val_mae: 2.1562 - val_mse: 8.0200\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 10.0311 - mae: 2.2345 - mse: 10.0311 - val_loss: 11.6549 - val_mae: 2.3777 - val_mse: 11.6549\n",
"Epoch 28/100\n",
- "354/354 [==============================] - 0s 280us/sample - loss: 10.6072 - mae: 2.1927 - mse: 10.6072 - val_loss: 8.1260 - val_mae: 2.1972 - val_mse: 8.1260\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 10.0233 - mae: 2.1886 - mse: 10.0233 - val_loss: 11.2612 - val_mae: 2.3638 - val_mse: 11.2612\n",
"Epoch 29/100\n",
- "354/354 [==============================] - 0s 311us/sample - loss: 10.6402 - mae: 2.1748 - mse: 10.6402 - val_loss: 8.7967 - val_mae: 2.2503 - val_mse: 8.7967\n",
+ "354/354 [==============================] - 0s 165us/sample - loss: 9.7396 - mae: 2.1549 - mse: 9.7396 - val_loss: 11.7192 - val_mae: 2.3995 - val_mse: 11.7192\n",
"Epoch 30/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 10.2717 - mae: 2.2183 - mse: 10.2717 - val_loss: 8.1098 - val_mae: 2.1846 - val_mse: 8.1098\n",
+ "354/354 [==============================] - 0s 175us/sample - loss: 9.4578 - mae: 2.1502 - mse: 9.4578 - val_loss: 11.0006 - val_mae: 2.3374 - val_mse: 11.0006\n",
"Epoch 31/100\n",
- "354/354 [==============================] - 0s 285us/sample - loss: 9.8955 - mae: 2.1371 - mse: 9.8955 - val_loss: 8.3667 - val_mae: 2.2848 - val_mse: 8.3667\n",
+ "354/354 [==============================] - 0s 167us/sample - loss: 9.2345 - mae: 2.1387 - mse: 9.2345 - val_loss: 10.8882 - val_mae: 2.3251 - val_mse: 10.8882\n",
"Epoch 32/100\n",
- "354/354 [==============================] - 0s 280us/sample - loss: 10.1973 - mae: 2.1819 - mse: 10.1973 - val_loss: 8.7020 - val_mae: 2.2529 - val_mse: 8.7020\n",
+ "354/354 [==============================] - 0s 161us/sample - loss: 9.4173 - mae: 2.1318 - mse: 9.4173 - val_loss: 11.6230 - val_mae: 2.3616 - val_mse: 11.6230\n",
"Epoch 33/100\n",
- "354/354 [==============================] - 0s 283us/sample - loss: 9.6211 - mae: 2.1035 - mse: 9.6211 - val_loss: 10.7199 - val_mae: 2.4891 - val_mse: 10.7199\n",
+ "354/354 [==============================] - 0s 187us/sample - loss: 9.1474 - mae: 2.0741 - mse: 9.1474 - val_loss: 10.8005 - val_mae: 2.3326 - val_mse: 10.8005\n",
"Epoch 34/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 9.8665 - mae: 2.1411 - mse: 9.8665 - val_loss: 8.0888 - val_mae: 2.1618 - val_mse: 8.0888\n",
+ "354/354 [==============================] - 0s 182us/sample - loss: 8.7565 - mae: 2.0961 - mse: 8.7565 - val_loss: 10.5611 - val_mae: 2.2676 - val_mse: 10.5611\n",
"Epoch 35/100\n",
- "354/354 [==============================] - 0s 267us/sample - loss: 9.8468 - mae: 2.1415 - mse: 9.8468 - val_loss: 8.3707 - val_mae: 2.2071 - val_mse: 8.3707\n",
+ "354/354 [==============================] - 0s 165us/sample - loss: 8.8445 - mae: 2.0441 - mse: 8.8445 - val_loss: 10.7529 - val_mae: 2.2829 - val_mse: 10.7529\n",
"Epoch 36/100\n",
- "354/354 [==============================] - 0s 291us/sample - loss: 9.4023 - mae: 2.0772 - mse: 9.4023 - val_loss: 8.0054 - val_mae: 2.1856 - val_mse: 8.0054\n",
+ "354/354 [==============================] - 0s 161us/sample - loss: 8.7197 - mae: 2.0306 - mse: 8.7197 - val_loss: 10.5885 - val_mae: 2.3312 - val_mse: 10.5885\n",
"Epoch 37/100\n",
- "354/354 [==============================] - 0s 288us/sample - loss: 9.0075 - mae: 2.0390 - mse: 9.0075 - val_loss: 8.5155 - val_mae: 2.2363 - val_mse: 8.5155\n",
+ "354/354 [==============================] - 0s 160us/sample - loss: 8.3803 - mae: 1.9988 - mse: 8.3803 - val_loss: 10.4625 - val_mae: 2.2977 - val_mse: 10.4625\n",
"Epoch 38/100\n",
- "354/354 [==============================] - 0s 285us/sample - loss: 9.1753 - mae: 2.0735 - mse: 9.1753 - val_loss: 8.2789 - val_mae: 2.1555 - val_mse: 8.2789\n",
+ "354/354 [==============================] - 0s 161us/sample - loss: 8.1797 - mae: 1.9841 - mse: 8.1797 - val_loss: 10.8993 - val_mae: 2.4313 - val_mse: 10.8993\n",
"Epoch 39/100\n",
- "354/354 [==============================] - 0s 294us/sample - loss: 9.0900 - mae: 2.0347 - mse: 9.0900 - val_loss: 7.7142 - val_mae: 2.1180 - val_mse: 7.7142\n",
+ "354/354 [==============================] - 0s 162us/sample - loss: 8.4897 - mae: 2.0293 - mse: 8.4897 - val_loss: 10.3395 - val_mae: 2.3076 - val_mse: 10.3395\n",
"Epoch 40/100\n",
- "354/354 [==============================] - 0s 288us/sample - loss: 9.0604 - mae: 2.0522 - mse: 9.0604 - val_loss: 10.0447 - val_mae: 2.3609 - val_mse: 10.0447\n",
+ "354/354 [==============================] - 0s 169us/sample - loss: 8.2173 - mae: 2.0265 - mse: 8.2173 - val_loss: 10.4234 - val_mae: 2.3516 - val_mse: 10.4234\n",
"Epoch 41/100\n",
- "354/354 [==============================] - 0s 279us/sample - loss: 9.1029 - mae: 2.0717 - mse: 9.1029 - val_loss: 7.9920 - val_mae: 2.1557 - val_mse: 7.9920\n",
+ "354/354 [==============================] - 0s 162us/sample - loss: 8.0208 - mae: 1.9914 - mse: 8.0208 - val_loss: 10.1297 - val_mae: 2.2798 - val_mse: 10.1297\n",
"Epoch 42/100\n",
- "354/354 [==============================] - 0s 290us/sample - loss: 8.7579 - mae: 2.0201 - mse: 8.7579 - val_loss: 8.0391 - val_mae: 2.1993 - val_mse: 8.0391\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 7.9852 - mae: 1.9667 - mse: 7.9852 - val_loss: 10.9296 - val_mae: 2.4653 - val_mse: 10.9296\n",
"Epoch 43/100\n",
- "354/354 [==============================] - 0s 273us/sample - loss: 8.6292 - mae: 2.0033 - mse: 8.6292 - val_loss: 7.3951 - val_mae: 2.0557 - val_mse: 7.3951\n",
+ "354/354 [==============================] - 0s 167us/sample - loss: 7.8901 - mae: 1.9684 - mse: 7.8901 - val_loss: 10.3993 - val_mae: 2.3660 - val_mse: 10.3993\n",
"Epoch 44/100\n",
- "354/354 [==============================] - 0s 280us/sample - loss: 8.9005 - mae: 2.0303 - mse: 8.9005 - val_loss: 7.8706 - val_mae: 2.1748 - val_mse: 7.8706\n",
+ "354/354 [==============================] - 0s 166us/sample - loss: 7.7134 - mae: 1.9914 - mse: 7.7134 - val_loss: 10.1382 - val_mae: 2.1999 - val_mse: 10.1382\n",
"Epoch 45/100\n",
- "354/354 [==============================] - 0s 287us/sample - loss: 8.4258 - mae: 1.9923 - mse: 8.4258 - val_loss: 9.3014 - val_mae: 2.3212 - val_mse: 9.3013\n",
+ "354/354 [==============================] - 0s 160us/sample - loss: 7.4651 - mae: 1.8810 - mse: 7.4651 - val_loss: 9.9405 - val_mae: 2.2293 - val_mse: 9.9405\n",
"Epoch 46/100\n",
- "354/354 [==============================] - 0s 283us/sample - loss: 8.5433 - mae: 1.9774 - mse: 8.5433 - val_loss: 7.8489 - val_mae: 2.1072 - val_mse: 7.8489\n",
+ "354/354 [==============================] - 0s 158us/sample - loss: 7.6525 - mae: 1.9254 - mse: 7.6525 - val_loss: 10.6396 - val_mae: 2.3426 - val_mse: 10.6396\n",
"Epoch 47/100\n",
- "354/354 [==============================] - 0s 285us/sample - loss: 8.3037 - mae: 1.9583 - mse: 8.3037 - val_loss: 8.1335 - val_mae: 2.2083 - val_mse: 8.1335\n",
+ "354/354 [==============================] - 0s 177us/sample - loss: 7.4940 - mae: 1.9148 - mse: 7.4940 - val_loss: 10.3031 - val_mae: 2.3603 - val_mse: 10.3031\n",
"Epoch 48/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 8.4023 - mae: 1.9824 - mse: 8.4023 - val_loss: 7.4668 - val_mae: 2.1024 - val_mse: 7.4668\n",
+ "354/354 [==============================] - 0s 166us/sample - loss: 7.3784 - mae: 1.8920 - mse: 7.3784 - val_loss: 10.3574 - val_mae: 2.2241 - val_mse: 10.3574\n",
"Epoch 49/100\n",
- "354/354 [==============================] - 0s 298us/sample - loss: 8.2544 - mae: 1.9665 - mse: 8.2544 - val_loss: 7.7913 - val_mae: 2.1179 - val_mse: 7.7913\n",
+ "354/354 [==============================] - 0s 182us/sample - loss: 7.3094 - mae: 1.8977 - mse: 7.3094 - val_loss: 9.6455 - val_mae: 2.1697 - val_mse: 9.6455\n",
"Epoch 50/100\n",
- "354/354 [==============================] - 0s 272us/sample - loss: 8.2485 - mae: 1.9450 - mse: 8.2485 - val_loss: 8.2368 - val_mae: 2.1949 - val_mse: 8.2368\n",
+ "354/354 [==============================] - 0s 213us/sample - loss: 7.0373 - mae: 1.8537 - mse: 7.0373 - val_loss: 9.9072 - val_mae: 2.2264 - val_mse: 9.9072\n",
"Epoch 51/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 8.0620 - mae: 1.9246 - mse: 8.0620 - val_loss: 9.4245 - val_mae: 2.3602 - val_mse: 9.4245\n",
+ "354/354 [==============================] - 0s 189us/sample - loss: 6.9772 - mae: 1.8815 - mse: 6.9772 - val_loss: 10.8260 - val_mae: 2.3366 - val_mse: 10.8260\n",
"Epoch 52/100\n",
- "354/354 [==============================] - 0s 272us/sample - loss: 7.8458 - mae: 1.8929 - mse: 7.8458 - val_loss: 7.8172 - val_mae: 2.1102 - val_mse: 7.8172\n",
+ "354/354 [==============================] - 0s 196us/sample - loss: 6.8625 - mae: 1.8743 - mse: 6.8625 - val_loss: 9.8249 - val_mae: 2.2377 - val_mse: 9.8249\n",
"Epoch 53/100\n",
- "354/354 [==============================] - 0s 275us/sample - loss: 7.8529 - mae: 1.9210 - mse: 7.8529 - val_loss: 8.3722 - val_mae: 2.1895 - val_mse: 8.3722\n",
+ "354/354 [==============================] - 0s 194us/sample - loss: 6.8944 - mae: 1.8752 - mse: 6.8944 - val_loss: 9.6898 - val_mae: 2.1971 - val_mse: 9.6898\n",
"Epoch 54/100\n",
- "354/354 [==============================] - 0s 267us/sample - loss: 7.8456 - mae: 1.9185 - mse: 7.8456 - val_loss: 8.6497 - val_mae: 2.2441 - val_mse: 8.6497\n",
+ "354/354 [==============================] - 0s 165us/sample - loss: 6.7095 - mae: 1.8559 - mse: 6.7095 - val_loss: 10.6151 - val_mae: 2.2746 - val_mse: 10.6151\n",
"Epoch 55/100\n",
- "354/354 [==============================] - 0s 275us/sample - loss: 7.8214 - mae: 1.9440 - mse: 7.8214 - val_loss: 7.8350 - val_mae: 2.1042 - val_mse: 7.8350\n",
+ "354/354 [==============================] - 0s 166us/sample - loss: 6.7723 - mae: 1.8727 - mse: 6.7723 - val_loss: 10.3318 - val_mae: 2.2836 - val_mse: 10.3318\n",
"Epoch 56/100\n",
- "354/354 [==============================] - 0s 267us/sample - loss: 7.1478 - mae: 1.8786 - mse: 7.1478 - val_loss: 9.0040 - val_mae: 2.2687 - val_mse: 9.0040\n",
+ "354/354 [==============================] - 0s 166us/sample - loss: 6.5750 - mae: 1.8187 - mse: 6.5750 - val_loss: 10.2085 - val_mae: 2.2743 - val_mse: 10.2085\n",
"Epoch 57/100\n",
- "354/354 [==============================] - 0s 282us/sample - loss: 7.6740 - mae: 1.9089 - mse: 7.6740 - val_loss: 7.7027 - val_mae: 2.0962 - val_mse: 7.7027\n",
+ "354/354 [==============================] - 0s 155us/sample - loss: 6.6257 - mae: 1.7959 - mse: 6.6257 - val_loss: 10.2118 - val_mae: 2.2346 - val_mse: 10.2118\n",
"Epoch 58/100\n",
- "354/354 [==============================] - 0s 284us/sample - loss: 7.6915 - mae: 1.8942 - mse: 7.6914 - val_loss: 8.1644 - val_mae: 2.1569 - val_mse: 8.1644\n",
+ "354/354 [==============================] - 0s 153us/sample - loss: 6.2614 - mae: 1.8075 - mse: 6.2614 - val_loss: 9.5504 - val_mae: 2.2475 - val_mse: 9.5504\n",
"Epoch 59/100\n",
- "354/354 [==============================] - 0s 280us/sample - loss: 7.3480 - mae: 1.8529 - mse: 7.3480 - val_loss: 7.6212 - val_mae: 2.1103 - val_mse: 7.6212\n",
+ "354/354 [==============================] - 0s 152us/sample - loss: 6.4591 - mae: 1.8022 - mse: 6.4591 - val_loss: 9.5048 - val_mae: 2.1846 - val_mse: 9.5048\n",
"Epoch 60/100\n",
- "354/354 [==============================] - 0s 281us/sample - loss: 7.5539 - mae: 1.8710 - mse: 7.5539 - val_loss: 8.1158 - val_mae: 2.1719 - val_mse: 8.1158\n",
+ "354/354 [==============================] - 0s 151us/sample - loss: 6.2679 - mae: 1.7856 - mse: 6.2679 - val_loss: 9.8863 - val_mae: 2.1472 - val_mse: 9.8863\n",
"Epoch 61/100\n",
- "354/354 [==============================] - 0s 269us/sample - loss: 7.2977 - mae: 1.8647 - mse: 7.2977 - val_loss: 7.1379 - val_mae: 2.0242 - val_mse: 7.1379\n",
+ "354/354 [==============================] - 0s 172us/sample - loss: 6.1997 - mae: 1.7521 - mse: 6.1997 - val_loss: 9.5469 - val_mae: 2.2168 - val_mse: 9.5469\n",
"Epoch 62/100\n",
- "354/354 [==============================] - 0s 272us/sample - loss: 7.3048 - mae: 1.8935 - mse: 7.3048 - val_loss: 7.8043 - val_mae: 2.1160 - val_mse: 7.8043\n",
+ "354/354 [==============================] - 0s 164us/sample - loss: 5.9001 - mae: 1.7677 - mse: 5.9001 - val_loss: 10.3969 - val_mae: 2.2894 - val_mse: 10.3969\n",
"Epoch 63/100\n",
- "354/354 [==============================] - 0s 289us/sample - loss: 7.1083 - mae: 1.8641 - mse: 7.1083 - val_loss: 7.4072 - val_mae: 2.0936 - val_mse: 7.4072\n",
+ "354/354 [==============================] - 0s 161us/sample - loss: 5.9727 - mae: 1.7715 - mse: 5.9727 - val_loss: 9.2806 - val_mae: 2.1635 - val_mse: 9.2806\n",
"Epoch 64/100\n",
- "354/354 [==============================] - 0s 294us/sample - loss: 7.1797 - mae: 1.8808 - mse: 7.1797 - val_loss: 7.6122 - val_mae: 2.1288 - val_mse: 7.6122\n",
+ "354/354 [==============================] - 0s 159us/sample - loss: 5.9357 - mae: 1.7691 - mse: 5.9357 - val_loss: 9.7865 - val_mae: 2.1970 - val_mse: 9.7865\n",
"Epoch 65/100\n",
- "354/354 [==============================] - 0s 279us/sample - loss: 6.9043 - mae: 1.8660 - mse: 6.9043 - val_loss: 7.5638 - val_mae: 2.1205 - val_mse: 7.5638\n",
+ "354/354 [==============================] - 0s 173us/sample - loss: 5.7502 - mae: 1.7583 - mse: 5.7502 - val_loss: 9.4449 - val_mae: 2.1681 - val_mse: 9.4449\n",
"Epoch 66/100\n",
- "354/354 [==============================] - 0s 284us/sample - loss: 7.2350 - mae: 1.8598 - mse: 7.2350 - val_loss: 8.0703 - val_mae: 2.1999 - val_mse: 8.0703\n",
+ "354/354 [==============================] - 0s 161us/sample - loss: 5.8152 - mae: 1.7191 - mse: 5.8152 - val_loss: 9.6538 - val_mae: 2.2230 - val_mse: 9.6538\n",
"Epoch 67/100\n",
- "354/354 [==============================] - 0s 271us/sample - loss: 6.6683 - mae: 1.7366 - mse: 6.6683 - val_loss: 9.1396 - val_mae: 2.2501 - val_mse: 9.1396\n",
+ "354/354 [==============================] - 0s 161us/sample - loss: 5.7099 - mae: 1.7531 - mse: 5.7099 - val_loss: 10.2712 - val_mae: 2.2829 - val_mse: 10.2712\n",
"Epoch 68/100\n",
- "354/354 [==============================] - 0s 270us/sample - loss: 6.9384 - mae: 1.8391 - mse: 6.9384 - val_loss: 7.4141 - val_mae: 2.1386 - val_mse: 7.4141\n",
+ "354/354 [==============================] - 0s 164us/sample - loss: 5.6872 - mae: 1.7396 - mse: 5.6872 - val_loss: 9.8613 - val_mae: 2.2475 - val_mse: 9.8614\n",
"Epoch 69/100\n",
- "354/354 [==============================] - 0s 300us/sample - loss: 6.9351 - mae: 1.8344 - mse: 6.9351 - val_loss: 7.3261 - val_mae: 2.0522 - val_mse: 7.3261\n",
+ "354/354 [==============================] - 0s 164us/sample - loss: 5.5726 - mae: 1.6874 - mse: 5.5726 - val_loss: 9.6871 - val_mae: 2.2940 - val_mse: 9.6871\n",
"Epoch 70/100\n",
- "354/354 [==============================] - 0s 284us/sample - loss: 6.7056 - mae: 1.7948 - mse: 6.7056 - val_loss: 7.3072 - val_mae: 2.1075 - val_mse: 7.3072\n",
+ "354/354 [==============================] - 0s 160us/sample - loss: 5.6172 - mae: 1.6898 - mse: 5.6172 - val_loss: 9.6192 - val_mae: 2.2869 - val_mse: 9.6192\n",
"Epoch 71/100\n",
- "354/354 [==============================] - 0s 264us/sample - loss: 6.6938 - mae: 1.7974 - mse: 6.6938 - val_loss: 7.3337 - val_mae: 2.0619 - val_mse: 7.3337\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 5.2962 - mae: 1.6887 - mse: 5.2962 - val_loss: 11.9677 - val_mae: 2.6445 - val_mse: 11.9677\n",
"Epoch 72/100\n",
- "354/354 [==============================] - 0s 283us/sample - loss: 6.7406 - mae: 1.7902 - mse: 6.7406 - val_loss: 7.4228 - val_mae: 2.0519 - val_mse: 7.4228\n",
+ "354/354 [==============================] - 0s 157us/sample - loss: 5.4289 - mae: 1.6882 - mse: 5.4289 - val_loss: 9.0920 - val_mae: 2.1635 - val_mse: 9.0920\n",
"Epoch 73/100\n",
- "354/354 [==============================] - 0s 277us/sample - loss: 6.6023 - mae: 1.7861 - mse: 6.6023 - val_loss: 7.4967 - val_mae: 2.0789 - val_mse: 7.4967\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 5.3055 - mae: 1.6638 - mse: 5.3055 - val_loss: 9.0646 - val_mae: 2.1701 - val_mse: 9.0646\n",
"Epoch 74/100\n",
- "354/354 [==============================] - 0s 280us/sample - loss: 6.5556 - mae: 1.7931 - mse: 6.5556 - val_loss: 8.8609 - val_mae: 2.2274 - val_mse: 8.8609\n",
+ "354/354 [==============================] - 0s 161us/sample - loss: 5.3235 - mae: 1.6849 - mse: 5.3235 - val_loss: 9.1451 - val_mae: 2.1315 - val_mse: 9.1451\n",
"Epoch 75/100\n",
- "354/354 [==============================] - 0s 283us/sample - loss: 6.5342 - mae: 1.7615 - mse: 6.5342 - val_loss: 7.0807 - val_mae: 2.0193 - val_mse: 7.0807\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 5.2496 - mae: 1.6685 - mse: 5.2496 - val_loss: 9.3699 - val_mae: 2.2101 - val_mse: 9.3699\n",
"Epoch 76/100\n",
- "354/354 [==============================] - 0s 277us/sample - loss: 6.3153 - mae: 1.7554 - mse: 6.3153 - val_loss: 10.0514 - val_mae: 2.4058 - val_mse: 10.0514\n",
+ "354/354 [==============================] - 0s 156us/sample - loss: 5.0007 - mae: 1.6417 - mse: 5.0007 - val_loss: 9.0921 - val_mae: 2.1279 - val_mse: 9.0921\n",
"Epoch 77/100\n",
- "354/354 [==============================] - 0s 263us/sample - loss: 6.3406 - mae: 1.7480 - mse: 6.3406 - val_loss: 7.2677 - val_mae: 2.0915 - val_mse: 7.2677\n",
+ "354/354 [==============================] - 0s 172us/sample - loss: 5.2315 - mae: 1.6528 - mse: 5.2315 - val_loss: 9.0284 - val_mae: 2.1283 - val_mse: 9.0284\n",
"Epoch 78/100\n",
- "354/354 [==============================] - 0s 263us/sample - loss: 6.3339 - mae: 1.7520 - mse: 6.3339 - val_loss: 7.4025 - val_mae: 2.0862 - val_mse: 7.4025\n",
+ "354/354 [==============================] - 0s 157us/sample - loss: 5.0492 - mae: 1.6244 - mse: 5.0492 - val_loss: 9.7080 - val_mae: 2.2000 - val_mse: 9.7080\n",
"Epoch 79/100\n",
- "354/354 [==============================] - 0s 266us/sample - loss: 6.1741 - mae: 1.7241 - mse: 6.1741 - val_loss: 7.6168 - val_mae: 2.0796 - val_mse: 7.6168\n",
+ "354/354 [==============================] - 0s 165us/sample - loss: 4.9512 - mae: 1.6168 - mse: 4.9512 - val_loss: 9.3491 - val_mae: 2.2524 - val_mse: 9.3491\n",
"Epoch 80/100\n",
- "354/354 [==============================] - 0s 282us/sample - loss: 6.3003 - mae: 1.7317 - mse: 6.3003 - val_loss: 8.5449 - val_mae: 2.2191 - val_mse: 8.5449\n",
+ "354/354 [==============================] - 0s 161us/sample - loss: 4.8233 - mae: 1.5951 - mse: 4.8233 - val_loss: 10.4702 - val_mae: 2.3727 - val_mse: 10.4702\n",
"Epoch 81/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 6.1985 - mae: 1.7406 - mse: 6.1985 - val_loss: 7.3762 - val_mae: 2.1128 - val_mse: 7.3762\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 4.8356 - mae: 1.6313 - mse: 4.8356 - val_loss: 10.8360 - val_mae: 2.5334 - val_mse: 10.8360\n",
"Epoch 82/100\n",
- "354/354 [==============================] - 0s 292us/sample - loss: 6.2082 - mae: 1.6940 - mse: 6.2082 - val_loss: 7.7671 - val_mae: 2.1689 - val_mse: 7.7671\n",
+ "354/354 [==============================] - 0s 165us/sample - loss: 4.7664 - mae: 1.5728 - mse: 4.7664 - val_loss: 9.0297 - val_mae: 2.1707 - val_mse: 9.0297\n",
"Epoch 83/100\n",
- "354/354 [==============================] - 0s 287us/sample - loss: 6.0380 - mae: 1.7192 - mse: 6.0380 - val_loss: 8.2837 - val_mae: 2.1724 - val_mse: 8.2837\n",
+ "354/354 [==============================] - 0s 160us/sample - loss: 4.8996 - mae: 1.5917 - mse: 4.8996 - val_loss: 9.0345 - val_mae: 2.1374 - val_mse: 9.0345\n",
"Epoch 84/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 5.9283 - mae: 1.6645 - mse: 5.9283 - val_loss: 7.6387 - val_mae: 2.0571 - val_mse: 7.6387\n",
+ "354/354 [==============================] - 0s 160us/sample - loss: 4.7986 - mae: 1.6048 - mse: 4.7986 - val_loss: 9.4659 - val_mae: 2.2548 - val_mse: 9.4659\n",
"Epoch 85/100\n",
- "354/354 [==============================] - 0s 282us/sample - loss: 6.0571 - mae: 1.7451 - mse: 6.0570 - val_loss: 7.1951 - val_mae: 2.0476 - val_mse: 7.1951\n",
+ "354/354 [==============================] - 0s 171us/sample - loss: 4.5527 - mae: 1.5404 - mse: 4.5527 - val_loss: 9.5788 - val_mae: 2.1823 - val_mse: 9.5788\n",
"Epoch 86/100\n",
- "354/354 [==============================] - 0s 277us/sample - loss: 5.9782 - mae: 1.7078 - mse: 5.9782 - val_loss: 8.0985 - val_mae: 2.2334 - val_mse: 8.0985\n",
+ "354/354 [==============================] - 0s 162us/sample - loss: 4.6033 - mae: 1.5829 - mse: 4.6033 - val_loss: 9.7029 - val_mae: 2.2306 - val_mse: 9.7029\n",
"Epoch 87/100\n",
- "354/354 [==============================] - 0s 255us/sample - loss: 5.9666 - mae: 1.7308 - mse: 5.9666 - val_loss: 7.2550 - val_mae: 2.0268 - val_mse: 7.2550\n",
+ "354/354 [==============================] - 0s 158us/sample - loss: 4.5717 - mae: 1.5727 - mse: 4.5717 - val_loss: 9.1632 - val_mae: 2.1194 - val_mse: 9.1632\n",
"Epoch 88/100\n",
- "354/354 [==============================] - 0s 282us/sample - loss: 5.7723 - mae: 1.6568 - mse: 5.7723 - val_loss: 7.5226 - val_mae: 2.1315 - val_mse: 7.5226\n",
+ "354/354 [==============================] - 0s 158us/sample - loss: 4.4614 - mae: 1.5356 - mse: 4.4614 - val_loss: 8.9921 - val_mae: 2.1007 - val_mse: 8.9921\n",
"Epoch 89/100\n",
- "354/354 [==============================] - 0s 273us/sample - loss: 5.9548 - mae: 1.7018 - mse: 5.9548 - val_loss: 8.1623 - val_mae: 2.1547 - val_mse: 8.1623\n",
+ "354/354 [==============================] - 0s 164us/sample - loss: 4.6582 - mae: 1.5248 - mse: 4.6582 - val_loss: 9.0494 - val_mae: 2.1288 - val_mse: 9.0494\n",
"Epoch 90/100\n",
- "354/354 [==============================] - 0s 305us/sample - loss: 5.7479 - mae: 1.6986 - mse: 5.7479 - val_loss: 7.5925 - val_mae: 2.1085 - val_mse: 7.5925\n",
+ "354/354 [==============================] - 0s 158us/sample - loss: 4.3272 - mae: 1.5289 - mse: 4.3272 - val_loss: 9.8204 - val_mae: 2.3003 - val_mse: 9.8204\n",
"Epoch 91/100\n",
- "354/354 [==============================] - 0s 285us/sample - loss: 5.6598 - mae: 1.6206 - mse: 5.6598 - val_loss: 7.8349 - val_mae: 2.1050 - val_mse: 7.8349\n",
+ "354/354 [==============================] - 0s 157us/sample - loss: 4.4199 - mae: 1.5274 - mse: 4.4199 - val_loss: 10.0219 - val_mae: 2.2723 - val_mse: 10.0219\n",
"Epoch 92/100\n",
- "354/354 [==============================] - 0s 274us/sample - loss: 5.5519 - mae: 1.6524 - mse: 5.5519 - val_loss: 7.9134 - val_mae: 2.0905 - val_mse: 7.9134\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 4.3447 - mae: 1.5423 - mse: 4.3447 - val_loss: 11.5811 - val_mae: 2.5490 - val_mse: 11.5811\n",
"Epoch 93/100\n",
- "354/354 [==============================] - 0s 275us/sample - loss: 5.6195 - mae: 1.6014 - mse: 5.6195 - val_loss: 7.7187 - val_mae: 2.0785 - val_mse: 7.7187\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 4.3355 - mae: 1.5369 - mse: 4.3355 - val_loss: 8.8431 - val_mae: 2.1337 - val_mse: 8.8431\n",
"Epoch 94/100\n",
- "354/354 [==============================] - 0s 267us/sample - loss: 5.7689 - mae: 1.6537 - mse: 5.7689 - val_loss: 7.2061 - val_mae: 2.0279 - val_mse: 7.2061\n",
+ "354/354 [==============================] - 0s 156us/sample - loss: 4.3791 - mae: 1.5442 - mse: 4.3791 - val_loss: 9.4194 - val_mae: 2.1541 - val_mse: 9.4194\n",
"Epoch 95/100\n",
- "354/354 [==============================] - 0s 281us/sample - loss: 5.5614 - mae: 1.6297 - mse: 5.5614 - val_loss: 7.4361 - val_mae: 2.0583 - val_mse: 7.4361\n",
+ "354/354 [==============================] - 0s 157us/sample - loss: 4.3247 - mae: 1.5456 - mse: 4.3247 - val_loss: 8.9440 - val_mae: 2.0844 - val_mse: 8.9440\n",
"Epoch 96/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 5.4860 - mae: 1.6497 - mse: 5.4860 - val_loss: 7.2326 - val_mae: 2.0581 - val_mse: 7.2326\n",
+ "354/354 [==============================] - 0s 164us/sample - loss: 4.2525 - mae: 1.4911 - mse: 4.2525 - val_loss: 9.1399 - val_mae: 2.1911 - val_mse: 9.1399\n",
"Epoch 97/100\n",
- "354/354 [==============================] - 0s 273us/sample - loss: 5.4502 - mae: 1.6353 - mse: 5.4502 - val_loss: 7.1318 - val_mae: 2.0564 - val_mse: 7.1318\n",
+ "354/354 [==============================] - 0s 161us/sample - loss: 4.2203 - mae: 1.4947 - mse: 4.2203 - val_loss: 9.4216 - val_mae: 2.2468 - val_mse: 9.4216\n",
"Epoch 98/100\n",
- "354/354 [==============================] - 0s 271us/sample - loss: 5.3434 - mae: 1.5915 - mse: 5.3434 - val_loss: 7.2311 - val_mae: 2.0256 - val_mse: 7.2311\n",
+ "354/354 [==============================] - 0s 158us/sample - loss: 4.0427 - mae: 1.5021 - mse: 4.0427 - val_loss: 9.8772 - val_mae: 2.2684 - val_mse: 9.8772\n",
"Epoch 99/100\n",
- "354/354 [==============================] - 0s 280us/sample - loss: 5.2863 - mae: 1.5807 - mse: 5.2863 - val_loss: 6.9631 - val_mae: 2.0157 - val_mse: 6.9631\n",
+ "354/354 [==============================] - 0s 156us/sample - loss: 4.1551 - mae: 1.4745 - mse: 4.1551 - val_loss: 9.2742 - val_mae: 2.1680 - val_mse: 9.2742\n",
"Epoch 100/100\n",
- "354/354 [==============================] - 0s 267us/sample - loss: 5.4799 - mae: 1.6296 - mse: 5.4799 - val_loss: 7.2817 - val_mae: 2.0441 - val_mse: 7.2817\n"
+ "354/354 [==============================] - 0s 166us/sample - loss: 4.1385 - mae: 1.4979 - mse: 4.1385 - val_loss: 9.1496 - val_mae: 2.1970 - val_mse: 9.1496\n"
]
}
],
@@ -1061,16 +1065,16 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "x_test / loss : 7.2817\n",
- "x_test / mae : 2.0441\n",
- "x_test / mse : 7.2817\n"
+ "x_test / loss : 9.1496\n",
+ "x_test / mae : 2.1970\n",
+ "x_test / mse : 9.1496\n"
]
}
],
@@ -1092,7 +1096,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
@@ -1136,66 +1140,66 @@
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
- " <td>17.179068</td>\n",
- " <td>2.400313</td>\n",
- " <td>17.179068</td>\n",
- " <td>13.234228</td>\n",
- " <td>2.480448</td>\n",
- " <td>13.234228</td>\n",
+ " <td>17.575156</td>\n",
+ " <td>2.393877</td>\n",
+ " <td>17.575157</td>\n",
+ " <td>17.672065</td>\n",
+ " <td>2.668328</td>\n",
+ " <td>17.672065</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
- " <td>52.668984</td>\n",
- " <td>2.178764</td>\n",
- " <td>52.668981</td>\n",
- " <td>34.564052</td>\n",
- " <td>1.615198</td>\n",
- " <td>34.564051</td>\n",
+ " <td>57.558606</td>\n",
+ " <td>2.374958</td>\n",
+ " <td>57.558606</td>\n",
+ " <td>44.606822</td>\n",
+ " <td>1.899542</td>\n",
+ " <td>44.606823</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
- " <td>5.286268</td>\n",
- " <td>1.580696</td>\n",
- " <td>5.286269</td>\n",
- " <td>6.963072</td>\n",
- " <td>2.015736</td>\n",
- " <td>6.963071</td>\n",
+ " <td>4.042664</td>\n",
+ " <td>1.474455</td>\n",
+ " <td>4.042665</td>\n",
+ " <td>8.843062</td>\n",
+ " <td>2.084356</td>\n",
+ " <td>8.843062</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
- " <td>6.485838</td>\n",
- " <td>1.754565</td>\n",
- " <td>6.485837</td>\n",
- " <td>7.585306</td>\n",
- " <td>2.103745</td>\n",
- " <td>7.585306</td>\n",
+ " <td>5.245075</td>\n",
+ " <td>1.661062</td>\n",
+ " <td>5.245075</td>\n",
+ " <td>9.571723</td>\n",
+ " <td>2.199997</td>\n",
+ " <td>9.571724</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
- " <td>8.155239</td>\n",
- " <td>1.944527</td>\n",
- " <td>8.155240</td>\n",
- " <td>8.112818</td>\n",
- " <td>2.179680</td>\n",
- " <td>8.112819</td>\n",
+ " <td>7.007228</td>\n",
+ " <td>1.878118</td>\n",
+ " <td>7.007228</td>\n",
+ " <td>10.348436</td>\n",
+ " <td>2.288131</td>\n",
+ " <td>10.348436</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
- " <td>11.055998</td>\n",
- " <td>2.240327</td>\n",
- " <td>11.055998</td>\n",
- " <td>9.240654</td>\n",
- " <td>2.325178</td>\n",
- " <td>9.240653</td>\n",
+ " <td>10.428114</td>\n",
+ " <td>2.234086</td>\n",
+ " <td>10.428113</td>\n",
+ " <td>11.670978</td>\n",
+ " <td>2.460876</td>\n",
+ " <td>11.670978</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
- " <td>479.449512</td>\n",
- " <td>19.834858</td>\n",
- " <td>479.449463</td>\n",
- " <td>339.469011</td>\n",
- " <td>16.671797</td>\n",
- " <td>339.468994</td>\n",
+ " <td>496.922868</td>\n",
+ " <td>20.339752</td>\n",
+ " <td>496.922882</td>\n",
+ " <td>419.540121</td>\n",
+ " <td>18.498610</td>\n",
+ " <td>419.540131</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
@@ -1204,16 +1208,16 @@
"text/plain": [
" loss mae mse val_loss val_mae val_mse\n",
"count 100.000000 100.000000 100.000000 100.000000 100.000000 100.000000\n",
- "mean 17.179068 2.400313 17.179068 13.234228 2.480448 13.234228\n",
- "std 52.668984 2.178764 52.668981 34.564052 1.615198 34.564051\n",
- "min 5.286268 1.580696 5.286269 6.963072 2.015736 6.963071\n",
- "25% 6.485838 1.754565 6.485837 7.585306 2.103745 7.585306\n",
- "50% 8.155239 1.944527 8.155240 8.112818 2.179680 8.112819\n",
- "75% 11.055998 2.240327 11.055998 9.240654 2.325178 9.240653\n",
- "max 479.449512 19.834858 479.449463 339.469011 16.671797 339.468994"
+ "mean 17.575156 2.393877 17.575157 17.672065 2.668328 17.672065\n",
+ "std 57.558606 2.374958 57.558606 44.606822 1.899542 44.606823\n",
+ "min 4.042664 1.474455 4.042665 8.843062 2.084356 8.843062\n",
+ "25% 5.245075 1.661062 5.245075 9.571723 2.199997 9.571724\n",
+ "50% 7.007228 1.878118 7.007228 10.348436 2.288131 10.348436\n",
+ "75% 10.428114 2.234086 10.428113 11.670978 2.460876 11.670978\n",
+ "max 496.922868 20.339752 496.922882 419.540121 18.498610 419.540131"
]
},
- "execution_count": 9,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
@@ -1226,14 +1230,14 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "min( val_mae ) : 2.0157\n"
+ "min( val_mae ) : 2.0844\n"
]
}
],
@@ -1243,12 +1247,12 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
@@ -1260,7 +1264,7 @@
},
{
"data": {
- "image/png": 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t/RlwCPAKcIUxZs4Q+y2x1h5VhDrvoDxrBUy1TIiIiN/4NkwYYw4EjsUNpFw3mmNZa3uAH+IGpJ5ehOoVRN0cIiLiZ74NE8CnM88FD7wcwprM88QiHS9v2WEirhUwRUTEZ3wZJowxYdyaE43AX4p02H0zz1uKdLy8Zc/m0F1DRUTEb3wZJoAPApOAm6y1iVwFjDGVxpj5xphpg7ZPyFG2DvgaEKewha+KQt0cIiLiZyVftMoYcwEwO/PlJKDMGHNF5uu11tqbcuyWTxfH0cBS4AbgwqztK4wxDwMrgK3AHOBTwDTgMmttwwg+xqiUDejmUJgQERF/KXmYwAWDkwZt+07m+WFgQJgwxszEDZJ8wlo7eDnsfPwBODlzjFqgBXgGuMhau8tbJWDQXUPVMiEiIj5T8jBhrT25wPINQDCPcssAk2P7ZYWcb1co09RQERHxMb+OmditDFy0SrM5RETEXxQmPEDdHCIi4mcKEx5QFlKYEBER/yr5mIk93s2/INLWwlVb1/PfE0+nK1GGtRZjdhjuISIi4kkKE6X2/OMEWpo5Hoik43QGykik0gNaK0RERLxM3RylVlbe/9K6Lo6ehAZhioiIfyhMlFo43PeyP0xo3ISIiPiHwkSphcr6XpbZJAA9WgVTRER8RGGi1MI5woRaJkRExEcUJkptQJhwIUL35xARET9RmCi1AWMmXMuEbkMuIiJ+ojBRajlaJtTNISIifqIwUWpZYSLc282hqaEiIuIjChOlpm4OERHxOYWJUsvu5kADMEVExH8UJkot1zoTapkQEREfUZgotRwDMNXNISIifqIwUWplWWEi7Vom4kkNwBQREf9QmCi1HGMm1M0hIiJ+ojBRarmW09YATBER8RGFiVIL9U8NDWvRKhER8SGFiVLTCpgiIuJzChOllrObQwMwRUTEPxQmSk0tEyIi4nMKE6WWYzntuMKEiIj4iMJEqeW40ZcWrRIRET9RmCi1HN0cWrRKRET8pORhwhjzdWPM7caY1cYYa4xZs5Oy12fK5HqcU8A5pxtjbjTGNBpjuowxy40x5xblAxUqK0yU694cIiLiQ6FSVwC4BmgGngfq89znghzbnslnR2PMeOAxYDLwY6AB+DfgNmPMp6y11+VZh+IY0M2hW5CLiIj/eCFMzLPWrgYwxrwCVA+3g7X296M4338Cc4GzrLX3ZM77O+BJ4IfGmNutte2jOH5hcnZzKEyIiIh/lLybozdIFMI4tcaYkdT/34C3eoNEpg4p4FpgPPDeERxz5IYYM5G2dpdWQ0REZKRKHiZGqCXz6DLGPGCMOSafnYwx04AZwFM53u7dtrA4VcxTjkWrQIMwRUTEP/wWJjYD/wNcCnwYN97iKOBRY8xpeew/PfO8Icd7vdtm5NrRGHOJMWZ5YdXNw+B7c2RaJDQIU0RE/MJXYcJa+5/W2v+w1t5srf2ztfZbwNFAAvhlHoeozDz35Hive1CZwedeYq09quBKDycYdA8giCWIa5FQmBAREb/wVZjIxVq7ErgN2McYs98wxTszz+U53osMKrPrhLSktoiI+Jfvw0TGmszzxGHKbcw85+rK6N2WqwtkbOn+HCIi4mO7S5jYN/O8ZWeFrLWbcGHh2Bxv924r/riI4eS4P0ePpoeKiIhP+CZMGGOqjDGRHNsPB84FXrPWvpW1vdIYMz8zgyPbH4B5xpgPZJUNAl8EtgN/H5MPsDO5bkOe0GwOERHxh5IvWmWMuQCYnflyElBmjLki8/Vaa+1Nmdf7Av8wxvwZWAl0AIcCnwJSwCWDDn00sBS4Abgwa/v3ceHjFmPMj3EtFR/DTQm92FrbVrxPlyd1c4iIiI+VPEwAnwZOGrTtO5nnh4HeMLEZeBA4BTgfqAA2AbcC37PWvp7Pyay1TcaYRbhQ8XncipuvAudZa28dxecYOXVziIiIj5U8TFhrT86z3GZy35NjqPLLADPEexsKOdaYC/dPLgmrZUJERHzGN2Mmdmu6P4eIiPiYwoQX5Ojm0J1DRUTELxQmvCDnAEzN5hAREX9QmPCCHFND42qZEBERn1CY8IKsMNE3AFNjJkRExCcUJrwglD1mQrM5RETEXxQmvCDnCpgKEyIi4g8KE16gMCEiIj6mMOEFuWZzJDWbQ0RE/EFhwgvCGjMhIiL+pTDhBbm6OTSbQ0REfEJhwguy7s2hlgkREfEbhQkvyOrmCGsApoiI+IzChBfkvNGXBmCKiIg/KEx4QY4xE7rRl4iI+IXChBfkaplQmBAREZ9QmPCC7KmhuBCRTFuSKXV1iIiI9ylMeEFWy0R5ppsDND1URET8QWHCC0JZYYL+ABFPqGVCRES8T2HCC3KMmQBNDxUREX9QmPCCHMtpg7o5RETEHxQmvCCrZSKcNWZC00NFRMQPFCa8oKx/Oe1wuj9MaHqoiIj4gcKEF4Syl9NOgbWAWiZERMQfFCa8wJiBgQLd7EtERPxDYcIrcszoUJgQERE/KHmYMMZ83RhzuzFmtTHGGmPWDFEuYoz5jDHmL8aYNcaYrsw+fzDGHFDA+S7MnCfX4+dF+2CF0v05RETEp0KlrgBwDdAMPA/U76TcHGAJ8BjwO2AjsDdwKXC2MeZMa+3SAs/72qBtbxSwf3FlTw9NJyGolgkREfEHL4SJedba1QDGmFeA6iHKNQKHW2tfzN5ojLkZeAH4b+CoAs77gLV2WeHVHSPZLROZMRNqmRARET8oeZjoDRJ5lGsCmnJsfzUTQg4u9NzGmBqgx1obL3TfotOYCRER8amSj5kYLWNMAJgGbClw17uBVqDbGPOSMebjRa9cIXKMmehJ6t4cIiLifSVvmSiCS3Fh4jt5lu8EbgEeArYCc4HPAzcZY+ZZa781JrUcTmjHJbXVMiEiIn7g65YJY8zxwI+Al3EDKodlrb3NWnu+tfZ31tp7rLU/Aw4BXgGuMMbMGeJclxhjlhen5jnkWFK7O54cqrSIiIhn+DZMGGOOBP6Gm9XxXmtt90iPZa3tAX6Ia6k5fYgyS6y1hQzwLIzGTIiIiE/5MkwYY44AHgBagFOstRuKcNg1meeJRThW4cp2DBPdGjMhIiI+4LswYYw5HBck2nBBYm2RDr1v5rnQgZzFEcoxAFMtEyIi4gO+ChOZIPEg0IELEm/vpGylMWa+MWbaoO0TcpStA74GxIH7ilvrPKmbQ0REfKrkszmMMRcAszNfTgLKjDFXZL5ea629KVNuNq5FYhzwM+D4zADMbHdZazsyr48GlgI3ABdmlVlhjHkYWIGbzTEH+BRuRshl1tqG4n26AuRaTlsDMEVExAdKHiaATwMnDdrWO83zYeCmzOu5QG+rwuIhjjUX12qxM38ATsYNtKzFjbt4BrjIWluaVgkYuJy21pkQEREfKXmYsNaenGe5ZYAp4Lg5y1trL8v3GLuUujlERMSnfDVmYrc2YJ0J3ZtDRET8Q2HCK3Itp51IYa0tVY1ERETyojDhFVljJiL0j5WIa9yEiIh4XF5hIhqNnhiNRvfK96DRaPSQaDT6iZFXaw+Utc5ExPR3b6irQ0REvC7flomlDJxeSTQa/Vo0Gt3hluAZHwauG0W99jxZ3RzZLRMahCkiIl6Xb5jINYsiAtQXsS57trLsMKGWCRER8Q+NmfCKrJaJ8qwwoZYJERHxOoUJr8iezaEwISIiPqIw4RU5bvQF6uYQERHvU5jwigHLaatlQkRE/KOQMKHVk8ZS9gqY6f6WCYUJERHxukLuzbE4Go0uHrwxGo3qalcMQ4QJdXOIiIjXFRIm8r7JVoZaMgqRFSZCapkQEREfyStMxGIxja0Ya1ljJoIKEyIi4iMKCV6R3TKRSvS9VjeHiIh43ZiEiWg0+i/RaPSusTj2bisYAuN6kgI2TcC6JbXVMiEiIl5XyJiJnYpGozOATwGfBmYV67h7DGNc60S8B4CwTdFjAmqZEBERzxtVmIhGowZ4H3AJcCYQzLz1MPCb0VVtD5QVJspskh7CapkQERHPG1GYiEajs4CLcS0R0+mf6fEYcFEsFnurONXbw2Tfn8OmaEPdHCIi4n15h4loNBoAzgI+A5yOa4WIA3fhbjd+D/C6gsQohHdcUrsnqTAhIiLelleYiEajVwMXAVNxrRDPA9cDt8RiseZMmTGq4h4ka3poOLOkdndcYUJERLwt35aJy4E08Evgl7FY7J9jV6U9WI6bfambQ0REvC7fqaE2U/Z84AvRaPSYsavSHmxAN0emZUJhQkREPC7flonZuLESFwGfBS6JRqNv4sZK3BiLxTaPUf32LBozISIiPpRXy0QsFmuIxWJXAXNwgzD/BuwDfB9YH41G/z5mNdyT5LgNubo5RETE6wqaGhqLxdLAX4G/RqPR6fRPDz0zU+TcaDTaA/wuFou9WNSa7gmy7xyqAZgiIuITI15OOxaLbYzFYt8G5uIWrvoLUAV8HnguGo0+W5wq7kFydXMkUlirG7CKiIh3jfreHLFYzMZisX/EYrEP45bRvgJYAxyR7zGMMV83xtxujFltjLHGmDXDlD/GGPOgMabNGNNqjLnXGHNYIfUuxjGKLqubI2Jci4QFEql0iSokIiIyvKLdmwMgFottAa4BrolGo6cVsOs1QDNu/Yr6nRU0xhwLLAM2AN/MbP4C8Kgx5nhr7YrhTlaMY4yJcHnfy6pAf4DoTqQoCwVz7SEiIlJyRQ0T2WKx2IMFFJ9nrV0NYIx5BajeSdmf4VbePNFauyGzz23Aa8CPcKtzDqcYxyi+rG6OStMfJnoSKagoRYVERESGl+8KmJ8YycFjsdiN+ZTrDRLDMcbsAywE/rc3BGT232CMuR24yBgz1Vo75FTVYhxjzGR3cwQGhQkRERGPyrdl4npc932+TKZ8XmGiAAszz0/meO8p3MySI3FTV8fyGGMjq2WigqxuDs3oEBERDyukmyOJmxb66hjVJR/TM88bcrzXu23GWBzDGHMJcMmll146XB1HLitMRLLChBauEhERL8s3TDwMnAh8CJgM/Aa4LRaLdY9VxYZQmXnuyfFe96AyRT2GtXYJsCQajY7dPM3sW5Cb/gChJbVFRMTL8l0B8xRgf+CHuJUvrwM2RaPRa6PR6CFjWL/BOjPP5TneiwwqM5bHGBuhrDET9AcIjZkQEREvy7ubIxaLrQK+Fo1GvwF8EHevjkuBaDQafQ74NfDHWCzWMSY1dTZmnnN1ZfRuy9V9UexjjI0cN/oChQkREfG2ghetisViyVgs9qdYLHYmMA+3RsQ0YAmwMRqNHlfkOmbrXVUz1zmOxQ36fG4XHGNsZIcJtUyIiIhPjGoFzFgstjYWi10JXIL7a74amFSMiuVirV0FLAfONcb0DqQk8/pc4KHsKZ3GmInGmPnGmLqRHmOXyrGcNmjMhIiIeNuIF63K3OjrU5nHbNzgxd/jVrEsiDHmgswxwIWRMmPMFZmv11prb8oq/u/AUtxqlddmtn0RF4wuG3ToLwBX4W6dfv0Ij7HrZN81NN0fJtQyISIiXlZQmIhGowHg/bi7hZ6Z2X8F7uJ8UywWaxlhPT4NnDRo23cyzw8DfWHCWvuEMeZk4OrMwwJPAOdaa1/K52TFOMaYGHDXULVMiIiIP+S7AuZc3AX/Itz4iA7gBuA3sVjsmdFWwlp7coHlnwTenUe5xcDi0Rxjl8q6N0corTETIiLiD/m2TKzKPC/HdRv8YYxnbeyZsro5QqlE32uFCRER8bJ8w4QBErhWiW8C34xGo8PtY2Ox2OzhCkmWrG6OYFrdHCIi4g+FjJkIAzPHqiLCwDChlgkREfGJvMJELBYb1RRSydOAMKHZHCIi4g8KCV6SFSYCyf6WCXVziIiIlylMeEnWvTlMMgHW3VOsJ5Eeag8REZGSU5jwkmDQPQCDJZS5Dbm6OURExMsUJrwmtOOS2t2J5FClRURESk5hwmty3DlU3RwiIuJlChNek31/jkzLhLo5RETEyxQmvCZHy0R3IoXNDMYUERHxGoUJr8kKExFcmEhbSzKtMCEiIt6kMOE1WWGiJtg/VqI7rq4OERHxJoUJr6mq7ntZb7SktoiIeJ/ChNdU1fS9HEe877XChIiIeJXChNdkhYk6evpea0ltERHxKoUJr8kOE7Y/TPQkFSZERMSbFCa8pqXqw1cAACAASURBVLI/TNSks8KEWiZERMSjFCa8JmsAZnWqu++1ZnOIiIhXKUx4TVY3R1VWmFDLhIiIeJXChNdkh4lkV99rjZkQERGvUpjwmqwwUZHoDxOazSEiIl6lMOE1WWEikujse61uDhER8SqFCa+p7B+AWR7vxGRu8KUwISIiXqUw4TXhMiiPABCwlgrrVsFUN4eIiHiVwoQXZXV11GRmdKhlQkREvMpXYcIYs9gYY3fySORxjGU72f+oXfE5hlW148JVapkQERGvCpW6AgW6E1iVY/shwFeAe/I8zjbgyzm2rx5hvYorK0zUptUyISIi3uarMGGtfRl4efB2Y8yvMy9/l+ehOqy1vy9axYptQMuEwoSIiHibr7o5cjHGVALnARuAewvYL2CMqTXGmDGr3Eipm0NERHzE92EC+AhQC1xnrc33ijsDaAdagHZjzJ3GmPljVcGCVaplQkRE/MNX3RxD+DRggf/Ns/zbwOO47pIUcAzwBeDdxpgTrLUrxqSWhdBsDhER8RFft0wYY/YHTgAesta+nc8+1tqLrLXfsNbeaq29w1r7FeB0oBr48U7OdYkxZnlRKj6crDuHqptDRES8ztdhAtcqAfDb0RzEWvso8AhwijGmYogyS6y1u2bqqAZgioiIj/g2TBhjQsAngGbgriIccg0QBMYV4VijozAhIiI+4tswAXwAmALcZK3tKcLx9gWSuHBSWllholrdHCIi4nF+DhO9XRw515YwxkwzxszPTB3t3VZnjAnmKPs+YBHwgLW2e0xqW4gcU0NTaUsylS5VjURERIbky9kcxpjpwJnAMzuZffE94JPAKcCyzLZTgB8bY+7BrXaZBI4GPo5bFfNLY1jt/A3u5rAWjKEnkSIU9HP+ExGR3ZEvwwRwIW58Q6EDL98AngPej+siCQMNwK+Aa6y1G4pYx5ErK4dQGJIJymyKcpukx4TpTqSoioRLXTsREZEBfBkmrLXXANcMU+ZCXOjI3vYacO6YVaxYjHGtEy1u+EZNuoeeQFiDMEVExJPUZu5VOWZ0aBCmiIh4kcKEV2l6qIiI+ITChFcpTIiIiE8oTHjVgPtzaK0JERHxLoUJr8rRMrG9oxhrc4mIiBSXwoRXVWbf7MuFiS0tXaWqjYiIyJAUJrwqxyqYjS2lX5xTRERkMIUJr8rRzbG1VS0TIiLiPQoTXpVjAOZWdXOIiIgHKUx4VY6WiW2t3aStLVWNREREclKY8KqsMFGbucN6IpXmnXbN6BAREW9RmPCqHC0TAI0aNyEiIh6jMOFVFZUQcP88kXSCsHULVm3ZrjAhIiLeojDhVcZAZX/rRLVmdIiIiEcpTHhZVdbCVSmtNSEiIt6kMOFludaa0PRQERHxGIUJL1OYEBERH1CY8LKq7DETmYWrNGZCREQ8RmHCy7LCRH1mrYm2rgRd8WSpaiQiIrIDhQkvywoTU8L9AUJdHSIi4iUKE16WFSYmBhUmRETEmxQmvCwrTIwj3ve6sVXTQ0VExDsUJrwsx/05QC0TIiLiLQoTXpY9myPVHyAUJkRExEsUJrwsK0xE4goTIiLiTQoTXpYVJsLdHX2vtdaEiIh4icKEl1VW9b0MdHcQsGkAtrV2k0rbUtVKRERkAN+FCWOMHeLRXsAx3muMecIY02GMaTbG3G6MmTuW9R6RQBAq+2/2Na3cBYhU2tLcrhkdIiLiDaFSV2CEHgWWDNqWyGdHY8zZwB3AS8BXgDrgS8DjxpijrLUbi1nRUauqgU6Xk2ZXwobMDNGtLV1Mqq0oYcVEREQcv4aJ1dba3xe6kzEmDFwLrAfeZa1tz2z/B/AcsBi4pIj1HL2qamh0L2eWp4AgkLkV+azSVUtERKSX77o5ehljyowx1cOXHOAkYDrw294gAWCtfRFYBnw0Ezi8I2sQ5rSyVN/rLZrRISIiHuHXMHEO0Am0GWO2GmOuNcbU5bHfwszzkzneewqoBfYrUh2LY9ykvpczE+/0vW7UjA4REfEIP4aJZ3DdEecAnwQeAr4APJpHS8X0zPOGHO/1bpuRa0djzCXGmOUF13a0Zu3d93JK++a+11prQkREvMJ3YcJae4y19ofW2j9ba2+01p4HfANYAPz7MLtXZp57crzXPajM4PMusdYeNaJKj0ZWmKhrauh7rTAhIiJe4bswMYT/BuLA+4Yp15l5Ls/xXmRQGW+Y2R8myhs3ELJu3ITChIiIeMVuESastQlgIzBxmKK90z5zdWX0bsvVBVI6lVUwcQoAJpVk79R2ADp6knR05zUbVkREZEztFmHCGBMBZgJbhin6bOb5uBzvHQu0Am8WsWrFkdU6cWiwpe+1bkUuIiJe4KswYYyZMMRb38GtmXFPVtlpxpj5xpjsMRAPA5uAi7MHaxpjDgVOBm7PtHJ4S9a4if3TzX2vt7R4q0dGRET2TH5btOoKY8yxwFJgHVANvBc4BXgatyBVr+/hZnucgltDAmttwhjz78CtuNkfv8FNB/0ybmmoq3bNxyhQVpiY3b0VMrfsWNfYzjH7TilRpURERBxftUzgQkErLiT8BPgWMB43m+Nka+2woxKttbcDZ+FmdPwQ+Bpuee5F1lpvjZfoNWte38up7ZvBunt0PLNqa6lqJCIi0sdXLRPW2r8Af8mz7IXAhUO891fgr0Wr2FibOAUqKqGrk7LuDialOmgMVfPKundo7YxTW1lW6hqKiMgezG8tE3smY2Bm/01NT6xxDTBpa3lWrRMiIlJiChN+kdXVcUxlR9/rJ99UmBARkdJSmPCLrJaJfeLb+l4/91YjiVS6FDUSEREBFCb8I2tGR2XjOqbWVwDQGU/y8tqmUtVKREREYcI3ZswB4/65zNaNnLB3fd9bT7053FpdIiIiY0dhwi/KymHqTPfaWk6qi/e99dSbW7GZ6aIiIiK7msKEn2R1dcxLbKOq3M3s3drSxeotbaWqlYiI7OEUJvwkK0wEG95m4T6T+75+eqW6OkREpDQUJvwkK0zQsJpj9+sPE09q3ISIiJSIwoSfDAgTb3PU3IkEAwaANze20NSmu4iKiMiupzDhJ3XjoSYzi6Onm5r2bSzYa3zf24+8uqlEFRMRkT2ZwoTf7JXVOrF2FYvmT+378g+PraKty3t3UBcRkd2bwoTfzN2///XyRzjjsFlMrnMLWLV0xrn50ZUlqpiIiOypFCb85phT+1+/9BTl3W185rQD+jbd/ewa1jVqmqiIiOw6ChN+M20WzMuEh1QKnlrKuw6YyiGz3diJVNryq/tf1SJWIiKyyyhM+NGi0/tfP3YfBvjc6QeSmdjBc6u38fRK3U1URER2DYUJP1p4olteG2DDGli7inlT6zjz8L36ivz6gVeJJ1OlqZ+IiOxRFCb8qKIKjjyh/+vH7wPgkyfv17fE9sbmTn51/6uk1d0hIiJjTGHCr7K7Op5eBok49VXlXHDSfn2b//bcOv7nnpdJpRUoRERk7ChM+NV+C2BiZo2JznZ44QkAzlo4h5MPmt5X7P6XGvjBn18kmUqXopYiIrIHUJjwq0AAFr2n/+vH7wcgGDB89UOHcfqhM/veWvbPjVx9x/P0JDSGQkREik9hws+Ofw+YzBSOV1+AR/4Bm9YTxPLlDxzCWQtn9xV98s0tXPSLpfztubVqpRARkaIKlboCMgoTJsMBh8Orz4O1cONP3faKKgL7Hkz0vR+lPLQ3tz+5GoCmth5+9vdXuP3J1XzipP048cBphILKkyIiMjpGixsVJhqNWoBYLFbqqjgrnoWfXjnk23bhSTwy/wx+9Xwzze09A96rqyzjhAOmcspB0zlor/EEels5REREdjTkRUJhokCeCxMAa96EV56D1a/D269DW8vA90NhkqecxUMV+/Cb13to7dlx7MTE2gjnHrc3HzhqNsGAWitERGQHChPF4skwkc1a2LQe7r4Jlj+649sVVTRMmMvS1GTuDO1LV6BswPtzJ9fw+TMPYsHsCbuqxiIi4g8KE8Xi+TCRbeU/4dZfu5aLHLonTuePR36Sv63toXXQrctPPXg6H1g4h72n1BIJB3dFbUVExNt2jzBhjNkP+DhwOjAPiABvAbcDP7HWduRxjGXASUO8vdBau3xn+/sqTACk0/D84+7xxkvQ8s7A92vqSHzuCu7cVsHNj67aYfpowMCsidXsM7WO+TPqOWjWOOZMriUY0PgKEZE9zG4TJr4PfB64G3gKSACnAB8BXgaOtdZ2DXOMZcBBwJdzvP13a23zzvb3XZjIZi1saYCXnoa7boBkpjUiFIZPXcbW/Y9hyQOv8ehrm3Z6mMqyEPNn1nPQrPEcMns882fUUxZS64WIyG5utwkTRwErrbUtg7ZfDXwD+KK19ufDHGMZMMdaO2ckdfB1mMi26lX4+begPetbeepZ8IF/48VtSe57cT0rN7XQ0NTBcD8h4WCAA2bWs//0emZPqmH2pGr2qgkRiZRBuGyYvUVExCeGDBO+WmdiJ10Qt+LCxMH5HssYEwCqgTbrp0RVLPscCN/4CfzsKti0zm176G54/AEOO+NfOexfzoZIJV3xJKu3tPLGxhZeXf8OrzY009Q2cIppIpXm5bXNvLqmkWO63qam/TXmda2lNVTBPQefTeKghcyZXMOUugrKQkHKQgHCoQA1FWGqysMl+PAetn411I6DunGlromISN58FSZ2onft6C15lp8BtAMVQKcx5j7gcmvt62NROc+aNA2+/mNY8n14JZPTerrg7t/D0ntg7nwqKio5KFLJQRVVnF1ZhT2smhbKWNOeZv3GJpo3bSXV1sKUZBuLOldRn+7uO3xtspPzX/w9t6x+nf+qP4a02XHK6bRxlew7rY59p9Wx37Q69p1eR1U4CC895S6shx8Ps/YGIG3t0GthpNNuoGnTVmh9B9q2Q3cXHHg4HHJM7n062lwXT3lkVN/Gokil4IafwBMPQGU1fO2HMGNOqWslIpIXX3Vz5GKMCQKPAUcBB1tr3xim/HXARtwYixRwDPAFIA6cYK1dMcR+lwCXXHrppUfCbtDNkc1ad/G+8zrYuG5MTvFCZCY/mnAaYZtiYqqdScl2UibAK+XT2Raq7it3eNd6Lm1/itmdm/u2vVU3m7trDuH+wF5UVpRRX1lOXVUZ46rKmTe1lkPHBTngnp8TeOvV3Cd/15nwb9H+LpdEHP5yEzxwJwRDcNJ74YxzoL5E02ETcRfoMjdrA2DKDLjiZ+5282PJWtje5D67XxYtsxZamqFuvH/qvCdoeQd++wOId8NF/wFTZ5W6RlJ8u8eYiVyMMdfiwsDl1trvjfAY7wKWAQ9Za9+zs7K7zZiJXNIpePL/3IW2uXFkxxg/CY4/jcTBR5O4/Toq33p52F0aQvW8FJnJ1GQLR3avH7JcY7CaP9ccyt9qDu5bH2NevJHFW//K5FT7Ts+xfdJevPr+zzM9nGD23b/GbB50nlAYTjgDjnoXdHW4hb9at7vuhqNPHrvWi+4u+MW34bUXdnzvyBPgc98YuwtmR5s795srYN+D4LOXjz5Q9XS7n6FQCI47DYJFHpi7aT3c8D9uzM/e8+GL34KauuKeQwpnLfx8sRvcDTB5Onzjp1BVU9JqSdHtnmHCGPMd4ApgibX2s6M81lLgXUDNzmaE7NZholciDmtWQkeru7B2dbpHZxt0drhbnne2uwtsdS1U10FVLczZB/Y/BAKZC0g6BffcAvfcXHAVekyQFeUzOKy7gRADb0zWFijn7ppD2Biq44vNy4jYJAApDM9UzGFbsJrtwQpmJ5o5sXNV337tpowKmyA47JDSgZLjp9B2bhR7wKFUlIWoKMvRO9jd6b5n25tgr3kwba/+EGAtvPEyPHqvuyFbpAImToEJU6Bhtduv18FH9Xc5AXzkEjj97Pwr294GyfjwoaBtO/z4G7D+rf5t9RMg+k3Ye//8z9fLWnhmGdzxO3hnm9t20JEuoFQWoXUllYL7boe7b+6fhQQwcy5c9j2oqR963+5O2LAGxk1yYXew9ja4/0+ui++Mc3KX8ZrtTbB2lfvVPv8wKCvfNeftvV4MDrhPL4Xf/NfAbQcfBf/ft/p/H3hFMgk2rcHhI7P7hQljzGLgKuA64NOjHUSZ6f64EJhhrd04VLk9IkwU28vPwG1LYOtGd8Hq/aXe3gqr/unCS4Y1AZoPPZHH9n03G2wlc8I9HLr2aaa+vIxge8uQp+gwZVwz6QyWV8zp32gtH2hfweeaH90hkHSZML8dt4jGYDUfa3mWA+LDD7e5t+pAfjNuEVMrAxxa1sF+ppW9urcyqWkd1c2bMFkhpSNSw5u1c2gI1rKo9Q3Gd2wb/vv04QvhvR+FW2JuzAq4v+wvvdL9pd/wtrsoJuLu4llb7567Otx4kbWrYFume2j6bDhiERxxPMyaN/CX//Ym+PHXc3dphcLwiX+Hw4+DjWthw1rXSjVnXzj02NytJGtWwh9+Cbm6mabPdheUiVPd1xvWwBMPugv8oce4C87OLjaJuAtid14P61blLjNjDlz2fff96P18ryx3rRdvv+E+h7Wu7oveAx/8BIyb6Mo+9xjc/As3zgbceJWPXQrHnlpYi1A67ULOWFzUrXWf4cWn3Pd47cqB68VU18HJ74NT3u+6fsZCIg733wkP3OW+dxd/pX9MT9t2uPKzA2eG9XrvR+Hsi/I7R+t2+Ost7saFBxwGp3zA/fwM1tUB8R4XMG0a0tb9PsmnFeyph9zPajoFH/0cnHB6fnWTXrtXmDDGXAUsBm4ELrLWjvqe2saYx3DjJ2qstd1DlVOYGIV0Ggbf9yMRd/cUef0l90vz6JNh+l477puIu+bze293oSTb5Om0f+YbrKKOzniSeDJNIpmmO5GisydJ1fo3Ofmx66jubgXgpfIZ/GjCu9kSzjSPW8th3Q2c1fYyE1IdbA9W0BKooDNQxmkdr1OT7p+9kgbG4s4lf5xzBskT389x+00hEkhTd+3lVG9aXZyDj58EM/d24zAmT3djRXq/hyYAZ/yru3195867itjnQPjoZ2FupuVi9evw91vhxScHlqusHnismnr4l3PdwmmrBgWOiVPdhfC409wKaZ2d0NXuZhi99LS750x358B9Zu8LRy5ya6X0/v6aPhuOe7ery+rX+7fnUlbuWns2rXdhIpcjFsFHPuO+Tyv/6bqCWt6BabNca8isvd3nWv06vPmyK9PZDvstgPM+51qnsqXT7jMFgi70VFa7sJJOu5acrRuhcROkkhAuh3DYBbvVr7vPtGXD0J+nVygMR58Ex78H9jt4x5BmreuGKo/kH5Ssdf8Ot/7a1a9XeQV85qtw2HGw5HvwzMNu+/hJ7nv34J/7y37ucjjqxKHP0dPtQso/bnOtQ9nmH+rGPHW0wVuvue9HY451cGrq3NT2Uz7gWktznePmX7gBztne82E45+L+IJJOwT+fd+dpaXYBp/Udt3/vv/3MvWHGbCiLuP0CATf2qqx8TxjDs/uECWPMN4FvATcBFw4VJIwx04A6YJ21tjOzrQ5ot9amBpV9H/BX4B/W2vfu7PwKEyWWTsHyx9wvnvVvwYKF8OmvQvUwfbOt290Fc9JUOhYcz8qtbaza1EoqnaausozayjJqK8ro7Emybls765vaWb+tHbu9mY+tv5+jW3IvSd4rhWFteDyNoWoO7Nk8IICAazn5v6r9ua/6QOImxJRUK1OSrUxIdrAiMoPnKwYGqEnJNn6x6Y/UpYfMtTnZYAgCAUxWa8+QZQMBWj72JbbNP4buDeuZe9uPqWoeslGu3zGnuF+0r780cHsw5H45v+8891f0DT8Z2CUxWqEwfPACOP1f3S/xJ/8P/vdH7q/TnTEBmDC5v9Uml7rxrtl7Z2XyZQJw4r/Ahz7hLkRPPgRPP9Tf/QPue1Vd6y6SI/kelUdcYGlqhOatO75fN96N/5l/GGxa6y6Ob73uWhGqa90FceZcd1GsrnMXwrJMiGlvda1R25tc+Hv1+SE+p4GFJ7nurV5futrNoPrZYnjlWbctXOa6/UIh97lDIQiG+wPTqn8O/N6MRlm5G/t0xCL3PSordyHvhp/A5obc+xx4BJz/eXj+CXj4byP/GTAGIpVu0HRFpXsdibjgFalws+dm7+PCcG8LUjIJ27e573dP947Hy36URdzPce24Hf8oG8xa97PV1eHOWzy7R5gwxnwe+DmwDrgSGPxbZIu19oFM2euBTwKnWGuXZbZ9CPgxcA+wGkgCR+OW6G4GFllrd3rVUJjwkK6OsZ/t0Ou5x9xfZ82NpCuq6Bg/nabqSWysmMjaqum8VT6Z5jjEk2lmjqvg0GALB7Stoaa9idfCk7mlaxpvbR940agsDzGtvpK1jW0k0zv+f3hIdwOXN95LmU2ypmwib4cn8HbZRDoCZdSluqhPdVGf7iRFgFVlk1hZNpk1ZRMI2jRHda9lUedqju18myq7Y7BIEOC7k87kycr+v6Ar0nEua3qQd3W+RZIA68Pj2BCZSFlVJUdueZmg3fFus71WTJjP8sM/QPXsOcyaUM2k2grqN61k3A3/RaC9tb9gMOj+mh0/CR5/YPjWEHCtF4cd51owps4c+N7TS+G3/z0wUAQCroXgwCNg3gHul3ekwl0Ub/+tm3Kc7YQzXCtEIAi3/wYe/vvwdcpHKFy8MFVeAQuOggVHu5ahqTNcfVMpeOFx95f9W68V51xDqax2Y0oe/Qdsy9EteNxp8On/373ubIfv/nt+LSrZpu8Fp30Y/vmcm92UzhEUQ2FXl0DAfQ96utyFM1/Hnuou3Nmzp3a13m627c3Dh+HBQmH3/0/9BPdz3RsEwYWy5kb3HO9xIe47S4pZ890mTFyPCwhDedhae/Kgstlh4gDg28ARwBQgDDQA9wLXWGuH/clXmNiDWdsfYEbQnLmusY1XG96hvqqcuZNrmFxXgTGGju4Ez77VyJNvbOGFt7cRChpmTqhmxvgqZk6oojYS7jufxbK2sZ0X397GW5tbhx1KGrIp9ko0MyOxnZnJ7cxIbKc63cOdtYfxcmRmzn3qU520B8pJmv5m8umJ7Xzmncc4vuvtvm0pDEur9uO22iNZW5Z7wOfURAtfan6I+nQPz44/gBenHwH14wkGDB0t7czf+BInNb7A3Hgj3YEyOoPl9IQidJZV0jBxHhtmLSA5ZRb11RHqKsvco8o9T6iJEA4G4IUnXV/7+EkudBx6DPFIFcmUJRAwBAwEjKG9O0FTSxfm6f9j8hN/dX8hn3sx1UcMWofkleVw40/dL+UZc1yXwb4LYPI0N85k/Wr3aH3HtQ7st8A9rIU//spdCHOprnU/O63bBzbn19S57qdJ09xf04k4xOOQ6HEXjEOPgQMOH37A4OrXXWvN8kddC0QuJlD4xcuYTEvLJ11d21rgl1e7rp9etePg20sGthBuXAs/+GrusRSD1Y1zY1kWnd7f5dDcCMv+BitXQP1EFwz3PgD22ttdUHslk7D8Ebjvjh2DYraycjj/C27cTDrtBobnGhxeVeNa36bOdC0ItfWuRWXDGnf8hrddt1Qq2T9uI5kcMPbLM8or4Od3FrP7ZfcIE16gMCFe0daVYMW6JlZvaWNDUzsNTR00NHXQnUgxpb6CaeMqmTaukqryMBubO1jf1M7G5k4SKXcxKQ8HqakIUxMJ93Xz1FWGKQ8HWdvYzpsbt+9wN9lDu9ZzVvsKtgRr+EvtoWwJ5eif3kUCBibURJhSX8mk2gidPUkaW7vZ1tq1Q713Zs6kGg6bO4Gp9ZU0tnaxtaWLxu0dJLq6CVVWURUJUVUeorayjJkTqpk9sZpZE6uZVBshnkzT2hWnrStBZ0+SoIG6VS8y6R83EG7eQjoYZuvcQ3l91hH8s25vKiojTK6rYGpFgMnBBKnySloJ096doL07QcAYqspDVEZCVJWHiYSDhEMBwsEAoWCA6kiI4HBN3KmUu6nfs4+4pv1ps9w02r3nuwtkU6O7IDasdu93d7q/YuM9LsRU1cC4Ce6v5/oJrqtk8DimZMINFH7kHy6gfP5KF+QG6+7qHwuSTPY/JxP9j7JyF5YiFXn/m+VkrZst9ei90NLkPku8x617MXMunHvxjmtfLH8UrvuRa6mYuz+c/H5YeOLIBtImk+7zdnW4R0+XO253p5sF1/C2Gzy7frWrV6+68a77orJ64PFsGmzvs3WtPU1b82+FKa9wAfuKnxVzarvCRLEoTIiXWWuxMORKoam0pa0rTmV5aNibs1lr2dLSxerNrWzvjLsLXleC9p4EFWUhJtZEmFgTYXxNOZ09SRqaOtiQCS0tHXE6epK0dyfo6knmdX+X3pDjFwFjSA/x+zNkU8yLN7I+PI7OQPFmeFSVh3j/kbM5+9i51Ff1H3djcwf3vrCet7a0EggYQgFDMBCgPBxg+rgqZk2sZtaEKmZMqCIYMKTSlrR1/8ahYIBQwGAK/evVWjeLKFzmLtZ+1ZGZ8j5p6q45XyrlWjYCQRg/sfApqt2d/Sv9ZgemdNqFv/GTXBAcYQvqMBQmikVhQqQwaWvp6E7S2hWntTNOa1ecVMoyrrqccdXljK8upywUJJ5M0dHtAkhbd4KWjjjbO3vY3hFne0cPLZ1u/5bOOO909NDc1jNkSAkYQ1koQNparHUhqrI8yISaCOOrI4yvLmfz9k5e37CdVI7xKl5XHg7yviP3Yv/p9dz/4nqeWz36AYzhYICykGsBCQYMgYDpCx6JzAypRCpNVSTElLpKptRXMKWugrqqMsLB/taTcNDde6csFCAcDPYdI5VOk0pbggHDhJoIE2sj1ETCOUNMMpWmJ5kinkiTTKcZXx0hGBjZhbGprZtEMs2kuooRH0P67B43+hIR/wkY47pTKsLMGD/0gNmyUJCy6iDjqvP7Sz6RSrO1pYst27tobO2iqjzExNoKJtVGqK8qz+vC0RVP8s/17/DSmiY6ehJMrq1gcp17VEfCdMaTdHQn6OhJ0tzWzbpt7azb1s7axjbau5OEo6a+fAAAEFBJREFUAobayjJqKsJUloewlr6Lbiptqa8qY1KmThNqIrR3J9ja0sXW1i62tXYTCgSorghTHQlTHXH7t2fO19GdcNOcU2mSqTTd8RSdcbdAW08ixZ1PvT3MpytMIpXOq3XIhbs4b2wcYlxGAcpDAeqrykmmXViJZx6DW3zKQgHmTK5h7ym1zJlUQyKVprm9h6a2brZ39DC+OsL8GfUcMLOevafUsrG5k8de38zjr29m9RY3ADgcDDBtXCUzxldRURbknUxIbW7vIRQ0HDZnIkfvO5mj5k2iOhImnkyxrrGdt7e20djqxrgEA8YF1XCQg2eNY+8ptYW36Oym1DJRILVMiIi1lngyTVkosMsuJmlrefz1zdzy6Kq+C2QvAyzcdzKnHjydirIQyUyY6ehJsr6pnYZt7axv6mDL9v6LoptxaPrK7i4Cxq1jNfL9DVPqK9iyvWvIbqxeU+oqOHa/KSzcZxKJVJrN27vYsr2TprYeJtVF2G9aHftNq2fa+Eo6e5Ks3NTCmxu389Zm9+/X2zI3vjqCxWZa3xK0dsYzrWmhvjE09ZXlzJ5UzV6TaoiEh+6iTKXTrN/WwarNLQSM4dQFM0b+zdiRWiZERIrFGEP5Tn6hj4WAMbzrgGmcMH8qT6/cyu1PrqaprZuTD5rOvxw+iyn1lSM+diptXctEMt3XHdH7CAZMX9dFKBigtTPOlhZ30dyyvYuOnkSm9aT/GIlkikTKtTKk0pZg0I3hCAYM8WSKptZuGlu76U7knm4cMIbycKBvXM//a+/uo+yqyjuOf5+ZzEuGSQYSQjIJSoAQoAWKKYHwUhDLcmktWq2UBQ1Qq7Z4gK6mrtKW2hK1q1KLhIoeqalvoCBkKQK2vJhqlPckpVHsaphoHCAzeSGZZJLMa2ay+8felx6v5965M+dmziTz+6x11snss8/Nvs/ce+e5++y9T3dv5TMlihOJutoamhvr2N0zkH7Cr5zv2Lq7d+SKwPbuPh5e187D69rL1musqy35XEfLgNYZTRw/s5mm+ik01tXSWF/L4NBBNm/fy+btexkc8j1MJ8xqrnYyUZKSCRGRw4iZsWThbJYsnF21x6ytMWprast+4y1oDJeBznxztqW7nXP0DgzR3TsYxljUhnEWPmlJ6u4dZPP2vfx821627NrP1PopzGhuYOa0RqY31dPR1cPGLbvZ2LmHzq5eptbXsnjBcVx42hwWL5jFUQ119AwcoLOrl45dPQwOD3PMUQ1+a25g175+1m7awQubdtC21U9lLfzRPnHWNObNbH6jx2P44EF27Rtg3c920DMwVNFzrVYiAX6CR2dXL51dIyc8r+3cT/+B4Yp+r1npMsco6TKHiMjE1Tc4lJqQVGr3/gG69vczd8ZR6Tf1C4aGD/KTV7p4rm0bGzv2MG1qPXOOnsrsliZmNDfQ2dVD29ZuNm3tprt3kNoa48TjprFw7tGc0tpCw5QaunoGwv83QI3ZG6vxtjTV+7VYBoboDWNodnT30b5jH527e0a8jHPs9EYWzJ7OgtYW3nveiTQ31pU/oXK6zCEiIke+cglAJQqzjEYypbaGRScdy6KTji1bzznHnh4/Hbsal8YGDgzz6s79vN7dR/+BYb8N+unX82dN4+Q5039p2vB4UTIhIiJyiJhZxTOUKtFQV8sprS2c0tpStceshkNxA0QRERGZRJRMiIiISCZKJkRERCQTJRMiIiKSiZIJERERyUTJhIiIiGSiZEJEREQyUTIhIiIimSiZEBERkUyUTIiIiEgmSiZEREQkE92bY4yiKMq7CSIiIuPJxXGceudQ9UyIiIhIJubcCDdGl3FhZuudc+fk3Y7DneJYHYpjdSiO1aE4VsehjKN6JkRERCQTJRMiIiKSiZKJieOLeTfgCKE4VofiWB2KY3UojtVxyOKoMRMiIiKSiXomREREJBMlEyIiIpKJkomcmFmNmS0zs41m1m9mr5nZZ8zsqLzbNhGZ2UIz+4SZPW9mr5vZPjPbYGZ/mxYzMzvVzL5jZrvNrMfMnjKzt+XR9onMzJrM7Bdm5szscynHFccyzGyGmd1uZj8L7+PXzewHZvZbRfXOM7PV4XW718weN7Oz82r3RGFmzWZ2i5m9FGKz08yeNbM/MjMrqqsYAmb2N2a2ysw2h/dt+wj1K46bmc01s3vC67jPzNab2RUVtUtjJvJhZv8C/BnwEPAYcDpwE/AUcJlz7mCOzZtwzOw24AbgEeB54ABwKfAHwE+AJc65vlD3ZGAtMATcCXQDHwbOAN7pnFs97k9ggjKz24E/BZqBzzvnbkwcUxzLMLMTgDX42H0JaANagLOAJ5xz3wz1loR6HUAhYbsROA64wDn30rg2fIIwsxrgh8AFwNfw7+sm4CrgXODTzrm/CnUVw8DMHNAFvAj8JrDXOTe/RN2K42ZmM4D14dgdwBbgauAS4I+dc18p2zDnnLZx3oBfBw4C3yoqvwlwwNV5t3GibcA5QEtK+T+EmN2YKHsQGAbOTpQ1A68ALxOS6Mm+AYvwicJfhBh+rui44lg+fk8BrwGtI9RbC+wF5iXK5oWyJ/N+HjnG7/zwultRVF4PbAb2KIapcTsp8e+fAu1l6lYcN+DT4fdxeaKsNjzGLqC5XLt0mSMfVwGG/7aXtBLoBZaOe4smOOfceudcd8qhB8L+DIBwyePdwBrn3IbE+fuBfwMWAosPcXMnPDOrxb/eHge+nXJccSzDzC4GLsJ/e95qZnVm1pRSbwE+Tquccx2F8vDvVcBlZjZnvNo9wUwP+85koXNuENgJ9IBiWMw5t7mSemOI29XAz51zjybqDgN3ATOA3yn3/ymZyMdifM/E2mShc64f2MAk/pAeg+PDfnvYnwU0AM+l1H0+7BVfWAachu/yTKM4llf4YH3VzB4F+oAeM2szs+SXgUKMSsXR8F3Vk9FaYA9ws5ldYWZvDmN0PoWPyfJQTzEcm4rjZmat+B6L50vUTT5eKiUT+ZgL7HTODaQc6wCONbP6cW7TYSd8u/57fFf9faF4bth3pJxSKJt3iJs2oZnZicDHgU8459pLVFMcyzs17Ffiv7VdB3wQGATuNbMPhOOKYwnOud343q8u/CW1V4CN+LFRv++cWxmqKoZjM5q4ZY6xbkGejyYgLZEA6E/UGRyf5hy27gSWALc4514OZYWu5rT49hfVmay+APwCP8iqFMWxvGlhvw+4NHTNY2YP4a/3/6OZfQ3FcST78df9HwGexSdmNwD3mdl7nHPfQzEcq9HELXOMlUzkoxc/YjZNY6KOlGBmn8R30X/ROfepxKFC3BpSTpv0sQ1d8G8HLnbOHShTVXEsry/s7y8kEuC/bZvZI8C1+N4LxbEEMzsTn0Asc87dnSi/H59grAwzihTDsRlN3DLHWJc58tGJv5SR9oubh78Eol6JEsxsOfAx4CvA9UWHC4O50rrkCmVpXXlHvPB6uwP4D2CbmS0Ig7ROCFVaQtnRKI4j2RL221KObQ37Y1Acy1mG/0O1KlnonOsF/h3/upyPYjhWo4lb5hgrmcjHOnzsz00WmlkjcDZ+rq+kMLNbgVuBe4APuTB/KeElfFfd+SmnLwn7yRrfqcAs4F3ApsS2JhxfGn7+EIrjSAqDp49POVYo24F/r0PpODrgv6rbtMNG4Y9UbcqxKYm9Yjg2FcfNObcVnywsKVEXRnq/5z1ndjJuwJmUX2diad5tnIgbfrClwycSNWXqrcKvj/AbibLC+ghtTNL1EYA64P0p20dCXB8LPy9UHEeM5TH4ufpbSMy/B1rx4wDaEmXrQt25ibK5oWx13s8lxxiuCK+7m4vKCz1jXcAUxbBsDEdaZ6LiuAH/TOl1JnYD08q1RStg5sTM7sJf838I3+18On5FzGeAtzmtgPlLzOwG/ApurwJ/h0/GkrY7P1irML96LX6VzBX4N86H8Uncu5xzT4xXuw8HZjYfPyCzeAVMxbEMM/sT4F+B/wG+jF9s6SP4hOJ3nXNPhnoXAD/AJx53hdNvAmYDFzrnfjzOTZ8QwgqiL+ITs2/gP/tm4F9j84EbnHNxqKsYBmZ2Df9/afIm/OvuM+HnV5xz9ybqVhw3M5uJ76mYib8c2oFfE+mt+F7gL5VtWN6Z1WTd8BnfR/ErCQ6EX9wdjLDK2GTdgK/is+ZS25qi+qcDD+PnsfcCT+OXKc/9uUy0Df/B/SsrYCqOFcXuffh5+D34mR1Phg/p4nrnA/+J77XYBzwBLMq7/XlvwMn4pbS34JPWvcCPgPcphiVjtqbSz8HRxg1/6ele/KJh/fhk78pK2qWeCREREclEAzBFREQkEyUTIiIikomSCREREclEyYSIiIhkomRCREREMlEyISIiIpkomRAREZFMdNdQEZm0oihajr/Xy6VxHK/JtzUihy8lEyIyZlEUVbLqnf5QixzhlEyISDV8vMyx9vFqhIjkQ8mEiGQWx/HyvNsgIvlRMiEi4yY5RgF/58M/B07D34Dou8AtcRxvSznvFPzdYn8bmIW/EdFq4JNxHG9KqV+Lv/vkNcAZ+DsrduBvkvRPJc55P3BzqN+Pv2nXR+M47sjynEUmA83mEJE8LAPuBn4M3Im/e+4HgGejKJqVrBhF0WJgPbAUWAfcjr9T5x8C66MoOqeofj3wOPAF4E3AfcBn8bdXfi9wYUp7IuDr+Esynwd+ClwJrI6iqCHzsxU5wqlnQkQyCz0OafrjOL4tpfydwHlxHP934jFW4HsqbgM+GMoMuAeYDiyN4/gbifpXAt8Evh5F0a/FcXwwHFoOXAY8ClwRx/FA4pyG8FjF3gEsjuP4pUTd+4CrgPcAD5Z88iKingkRqYpbS2x/XaL+vclEIlgOdANXJ3oDLsBfBnkumUgAxHH8APA0cCpwEbxxeSMC+oDrk4lEOGcgjuPXU9rz2WQiEawM+3NLPAcRCdQzISKZxXFsozzlhymP0R1F0QbgEuB0YAOwKBz+fonH+T4+kXgL8CN84tECvBDHceco2rM+pey1sD9mFI8jMimpZ0JE8rC9RHlh8GVL0X5rifqF8qOL9qMdNLknpWwo7GtH+Vgik46SCRHJw+wS5XPCvrtoPyelLkBrUb1CUjBv7E0TkdFSMiEiebikuCCKohbgbPy0zP8NxYVxFW8t8TiF8hfDfiM+oTgriqK51WioiIxMyYSI5OGaKIreUlS2HH9Z4/7EwMln8NNGLwrrQLwh/Hwx0IYfiEkcx8NADEwF7i6e1hlFUX3x1FMRyU4DMEUkszJTQwG+E8fxhqKyx4Bnoih6ED/u4aKwtZOYARLHsYui6Drge8ADURQ9jO99OBX4PfxiV9cmpoWCX9r7POByoC2Kou+Gem8C3g78JfDVMT1REUmlZEJEquHWMsfa8TMzklYAD+HXlbgS2I//A39LHMc7khXjOH4hLFz1Mfz6EZfjV8C8H78C5stF9QejKHoHcD1wLXAdYEBn+D+fHv3TE5FyzLlKbvonIpKdbvktcmTSmAkRERHJRMmEiIiIZKJkQkRERDLRmAkRERHJRD0TIiIikomSCREREclEyYSIiIhkomRCREREMlEyISIiIpkomRAREZFM/g+kEFqRZ1jumAAAAABJRU5ErkJggg==\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
@@ -1272,7 +1276,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
@@ -1299,7 +1303,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
@@ -1313,14 +1317,14 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Prédiction : 10.53 K$\n",
+ "Prediction : 10.66 K$\n",
"Reality : 10.40 K$\n"
]
}
@@ -1357,7 +1361,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.6"
+ "version": "3.7.7"
}
},
"nbformat": 4,
diff --git a/BHPD/02-DNN-Regression-Premium.ipynb b/BHPD/02-DNN-Regression-Premium.ipynb
index 21c6b53d2f1476f8a201482cbd9f1e2ba91b5148..91d757db0b3b3b5556d1c4d62cb5521bc1de75d6 100644
--- a/BHPD/02-DNN-Regression-Premium.ipynb
+++ b/BHPD/02-DNN-Regression-Premium.ipynb
@@ -114,10 +114,13 @@
"text": [
"\n",
"FIDLE 2020 - Practical Work Module\n",
- "Version : 0.4.3\n",
- "Run time : Friday 28 February 2020, 10:23:12\n",
+ "Version : 0.5.4\n",
+ "Run time : Tuesday 8 September 2020, 19:03:13\n",
"TensorFlow version : 2.0.0\n",
- "Keras version : 2.2.4-tf\n"
+ "Keras version : 2.2.4-tf\n",
+ "Current place : Fidle at HOME\n",
+ "Dataset dir : /home/pjluc/datasets\n",
+ "Update keras cache : Yes\n"
]
}
],
@@ -136,8 +139,7 @@
"sys.path.append('..')\n",
"import fidle.pwk as ooo\n",
"\n",
- "ooo.init()\n",
- "os.makedirs('./run/models', mode=0o750, exist_ok=True)"
+ "place, dataset_dir = ooo.init(places={'MyLaptop':'/path/to/datasets'})"
]
},
{
@@ -151,10 +153,12 @@
]
},
{
- "cell_type": "raw",
+ "cell_type": "code",
+ "execution_count": 2,
"metadata": {},
+ "outputs": [],
"source": [
- "(x_train, y_train), (x_test, y_test) = keras.datasets.boston_housing.load_data(test_split=0.2, seed=113)"
+ "# (x_train, y_train), (x_test, y_test) = keras.datasets.boston_housing.load_data(test_split=0.2, seed=113)"
]
},
{
@@ -167,103 +171,103 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795\" ><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> <th class=\"col_heading level0 col13\" >medv</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08\" ><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> <th class=\"col_heading level0 col13\" >medv</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col0\" class=\"data row0 col0\" >0.01</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col1\" class=\"data row0 col1\" >18.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col2\" class=\"data row0 col2\" >2.31</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col3\" class=\"data row0 col3\" >0.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col4\" class=\"data row0 col4\" >0.54</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col5\" class=\"data row0 col5\" >6.58</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col6\" class=\"data row0 col6\" >65.20</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col7\" class=\"data row0 col7\" >4.09</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col8\" class=\"data row0 col8\" >1.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col9\" class=\"data row0 col9\" >296.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col10\" class=\"data row0 col10\" >15.30</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col11\" class=\"data row0 col11\" >396.90</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col12\" class=\"data row0 col12\" >4.98</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row0_col13\" class=\"data row0 col13\" >24.00</td>\n",
+ " <th id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col0\" class=\"data row0 col0\" >0.01</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col1\" class=\"data row0 col1\" >18.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col2\" class=\"data row0 col2\" >2.31</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col3\" class=\"data row0 col3\" >0.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col4\" class=\"data row0 col4\" >0.54</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col5\" class=\"data row0 col5\" >6.58</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col6\" class=\"data row0 col6\" >65.20</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col7\" class=\"data row0 col7\" >4.09</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col8\" class=\"data row0 col8\" >1.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col9\" class=\"data row0 col9\" >296.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col10\" class=\"data row0 col10\" >15.30</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col11\" class=\"data row0 col11\" >396.90</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col12\" class=\"data row0 col12\" >4.98</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row0_col13\" class=\"data row0 col13\" >24.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col0\" class=\"data row1 col0\" >0.03</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col1\" class=\"data row1 col1\" >0.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col2\" class=\"data row1 col2\" >7.07</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col4\" class=\"data row1 col4\" >0.47</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col5\" class=\"data row1 col5\" >6.42</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col6\" class=\"data row1 col6\" >78.90</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col7\" class=\"data row1 col7\" >4.97</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col8\" class=\"data row1 col8\" >2.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col9\" class=\"data row1 col9\" >242.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col10\" class=\"data row1 col10\" >17.80</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col11\" class=\"data row1 col11\" >396.90</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col12\" class=\"data row1 col12\" >9.14</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row1_col13\" class=\"data row1 col13\" >21.60</td>\n",
+ " <th id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col0\" class=\"data row1 col0\" >0.03</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col1\" class=\"data row1 col1\" >0.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col2\" class=\"data row1 col2\" >7.07</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col4\" class=\"data row1 col4\" >0.47</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col5\" class=\"data row1 col5\" >6.42</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col6\" class=\"data row1 col6\" >78.90</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col7\" class=\"data row1 col7\" >4.97</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col8\" class=\"data row1 col8\" >2.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col9\" class=\"data row1 col9\" >242.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col10\" class=\"data row1 col10\" >17.80</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col11\" class=\"data row1 col11\" >396.90</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col12\" class=\"data row1 col12\" >9.14</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row1_col13\" class=\"data row1 col13\" >21.60</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col0\" class=\"data row2 col0\" >0.03</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col1\" class=\"data row2 col1\" >0.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col2\" class=\"data row2 col2\" >7.07</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col3\" class=\"data row2 col3\" >0.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col4\" class=\"data row2 col4\" >0.47</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col5\" class=\"data row2 col5\" >7.18</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col6\" class=\"data row2 col6\" >61.10</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col7\" class=\"data row2 col7\" >4.97</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col8\" class=\"data row2 col8\" >2.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col9\" class=\"data row2 col9\" >242.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col10\" class=\"data row2 col10\" >17.80</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col11\" class=\"data row2 col11\" >392.83</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col12\" class=\"data row2 col12\" >4.03</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row2_col13\" class=\"data row2 col13\" >34.70</td>\n",
+ " <th id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col0\" class=\"data row2 col0\" >0.03</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col1\" class=\"data row2 col1\" >0.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col2\" class=\"data row2 col2\" >7.07</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col3\" class=\"data row2 col3\" >0.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col4\" class=\"data row2 col4\" >0.47</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col5\" class=\"data row2 col5\" >7.18</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col6\" class=\"data row2 col6\" >61.10</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col7\" class=\"data row2 col7\" >4.97</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col8\" class=\"data row2 col8\" >2.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col9\" class=\"data row2 col9\" >242.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col10\" class=\"data row2 col10\" >17.80</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col11\" class=\"data row2 col11\" >392.83</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col12\" class=\"data row2 col12\" >4.03</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row2_col13\" class=\"data row2 col13\" >34.70</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col0\" class=\"data row3 col0\" >0.03</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col2\" class=\"data row3 col2\" >2.18</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col4\" class=\"data row3 col4\" >0.46</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col5\" class=\"data row3 col5\" >7.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col6\" class=\"data row3 col6\" >45.80</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col7\" class=\"data row3 col7\" >6.06</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col8\" class=\"data row3 col8\" >3.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col9\" class=\"data row3 col9\" >222.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col10\" class=\"data row3 col10\" >18.70</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col11\" class=\"data row3 col11\" >394.63</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col12\" class=\"data row3 col12\" >2.94</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row3_col13\" class=\"data row3 col13\" >33.40</td>\n",
+ " <th id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col0\" class=\"data row3 col0\" >0.03</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col2\" class=\"data row3 col2\" >2.18</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col4\" class=\"data row3 col4\" >0.46</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col5\" class=\"data row3 col5\" >7.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col6\" class=\"data row3 col6\" >45.80</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col7\" class=\"data row3 col7\" >6.06</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col8\" class=\"data row3 col8\" >3.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col9\" class=\"data row3 col9\" >222.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col10\" class=\"data row3 col10\" >18.70</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col11\" class=\"data row3 col11\" >394.63</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col12\" class=\"data row3 col12\" >2.94</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row3_col13\" class=\"data row3 col13\" >33.40</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col0\" class=\"data row4 col0\" >0.07</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col2\" class=\"data row4 col2\" >2.18</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col4\" class=\"data row4 col4\" >0.46</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col5\" class=\"data row4 col5\" >7.15</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col6\" class=\"data row4 col6\" >54.20</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col7\" class=\"data row4 col7\" >6.06</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col8\" class=\"data row4 col8\" >3.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col9\" class=\"data row4 col9\" >222.00</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col10\" class=\"data row4 col10\" >18.70</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col11\" class=\"data row4 col11\" >396.90</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col12\" class=\"data row4 col12\" >5.33</td>\n",
- " <td id=\"T_f61cd91c_5a0b_11ea_81e5_41c397e73795row4_col13\" class=\"data row4 col13\" >36.20</td>\n",
+ " <th id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col0\" class=\"data row4 col0\" >0.07</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col2\" class=\"data row4 col2\" >2.18</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col4\" class=\"data row4 col4\" >0.46</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col5\" class=\"data row4 col5\" >7.15</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col6\" class=\"data row4 col6\" >54.20</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col7\" class=\"data row4 col7\" >6.06</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col8\" class=\"data row4 col8\" >3.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col9\" class=\"data row4 col9\" >222.00</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col10\" class=\"data row4 col10\" >18.70</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col11\" class=\"data row4 col11\" >396.90</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col12\" class=\"data row4 col12\" >5.33</td>\n",
+ " <td id=\"T_2e2c9e06_f1f5_11ea_9e87_677b8e0bcd08row4_col13\" class=\"data row4 col13\" >36.20</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f2b48bd6f90>"
+ "<pandas.io.formats.style.Styler at 0x7ffe29c64d10>"
]
},
"metadata": {},
@@ -278,7 +282,7 @@
}
],
"source": [
- "data = pd.read_csv('./data/BostonHousing.csv', header=0)\n",
+ "data = pd.read_csv(f'{dataset_dir}/BHPD/BostonHousing.csv', header=0)\n",
"\n",
"display(data.head(5).style.format(\"{0:.2f}\"))\n",
"print('Missing Data : ',data.isna().sum().sum(), ' Shape is : ', data.shape)"
@@ -296,7 +300,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
@@ -341,146 +345,146 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795\" ><caption>Before normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08\" ><caption>Before normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
+ " <th id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row1_col0\" class=\"data row1 col0\" >3.80</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row1_col1\" class=\"data row1 col1\" >10.67</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row1_col2\" class=\"data row1 col2\" >11.27</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row1_col3\" class=\"data row1 col3\" >0.08</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row1_col4\" class=\"data row1 col4\" >0.56</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row1_col5\" class=\"data row1 col5\" >6.30</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row1_col6\" class=\"data row1 col6\" >67.72</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row1_col7\" class=\"data row1 col7\" >3.76</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row1_col8\" class=\"data row1 col8\" >9.64</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row1_col9\" class=\"data row1 col9\" >411.60</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row1_col10\" class=\"data row1 col10\" >18.45</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row1_col11\" class=\"data row1 col11\" >355.42</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row1_col12\" class=\"data row1 col12\" >12.47</td>\n",
+ " <th id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row1_col0\" class=\"data row1 col0\" >3.32</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row1_col1\" class=\"data row1 col1\" >12.33</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row1_col2\" class=\"data row1 col2\" >11.39</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row1_col3\" class=\"data row1 col3\" >0.07</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row1_col4\" class=\"data row1 col4\" >0.55</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row1_col5\" class=\"data row1 col5\" >6.27</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row1_col6\" class=\"data row1 col6\" >67.04</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row1_col7\" class=\"data row1 col7\" >3.83</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row1_col8\" class=\"data row1 col8\" >9.43</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row1_col9\" class=\"data row1 col9\" >408.21</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row1_col10\" class=\"data row1 col10\" >18.45</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row1_col11\" class=\"data row1 col11\" >356.12</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row1_col12\" class=\"data row1 col12\" >12.41</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row2_col0\" class=\"data row2 col0\" >9.33</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row2_col1\" class=\"data row2 col1\" >22.26</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row2_col2\" class=\"data row2 col2\" >6.84</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row2_col3\" class=\"data row2 col3\" >0.27</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row2_col4\" class=\"data row2 col4\" >0.12</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row2_col5\" class=\"data row2 col5\" >0.69</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row2_col6\" class=\"data row2 col6\" >28.69</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row2_col7\" class=\"data row2 col7\" >2.09</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row2_col8\" class=\"data row2 col8\" >8.75</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row2_col9\" class=\"data row2 col9\" >170.38</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row2_col10\" class=\"data row2 col10\" >2.18</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row2_col11\" class=\"data row2 col11\" >91.02</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row2_col12\" class=\"data row2 col12\" >6.91</td>\n",
+ " <th id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row2_col0\" class=\"data row2 col0\" >7.78</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row2_col1\" class=\"data row2 col1\" >24.49</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row2_col2\" class=\"data row2 col2\" >7.06</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row2_col3\" class=\"data row2 col3\" >0.26</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row2_col4\" class=\"data row2 col4\" >0.12</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row2_col5\" class=\"data row2 col5\" >0.67</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row2_col6\" class=\"data row2 col6\" >29.01</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row2_col7\" class=\"data row2 col7\" >2.10</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row2_col8\" class=\"data row2 col8\" >8.75</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row2_col9\" class=\"data row2 col9\" >170.18</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row2_col10\" class=\"data row2 col10\" >2.17</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row2_col11\" class=\"data row2 col11\" >94.01</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row2_col12\" class=\"data row2 col12\" >6.77</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row3_col0\" class=\"data row3 col0\" >0.01</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row3_col2\" class=\"data row3 col2\" >1.25</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row3_col4\" class=\"data row3 col4\" >0.39</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row3_col5\" class=\"data row3 col5\" >3.56</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row3_col6\" class=\"data row3 col6\" >2.90</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row3_col7\" class=\"data row3 col7\" >1.13</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row3_col8\" class=\"data row3 col8\" >1.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row3_col9\" class=\"data row3 col9\" >187.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row3_col10\" class=\"data row3 col10\" >12.60</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row3_col11\" class=\"data row3 col11\" >0.32</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row3_col12\" class=\"data row3 col12\" >1.73</td>\n",
+ " <th id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row3_col0\" class=\"data row3 col0\" >0.01</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row3_col2\" class=\"data row3 col2\" >0.46</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row3_col4\" class=\"data row3 col4\" >0.39</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row3_col5\" class=\"data row3 col5\" >3.56</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row3_col6\" class=\"data row3 col6\" >6.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row3_col7\" class=\"data row3 col7\" >1.17</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row3_col8\" class=\"data row3 col8\" >1.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row3_col9\" class=\"data row3 col9\" >188.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row3_col10\" class=\"data row3 col10\" >12.60</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row3_col11\" class=\"data row3 col11\" >2.52</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row3_col12\" class=\"data row3 col12\" >1.92</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row4_col0\" class=\"data row4 col0\" >0.08</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row4_col2\" class=\"data row4 col2\" >5.19</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row4_col4\" class=\"data row4 col4\" >0.45</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row4_col5\" class=\"data row4 col5\" >5.89</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row4_col6\" class=\"data row4 col6\" >42.25</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row4_col7\" class=\"data row4 col7\" >2.08</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row4_col8\" class=\"data row4 col8\" >4.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row4_col9\" class=\"data row4 col9\" >279.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row4_col10\" class=\"data row4 col10\" >17.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row4_col11\" class=\"data row4 col11\" >374.46</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row4_col12\" class=\"data row4 col12\" >7.12</td>\n",
+ " <th id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row4_col0\" class=\"data row4 col0\" >0.08</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row4_col2\" class=\"data row4 col2\" >5.19</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row4_col4\" class=\"data row4 col4\" >0.45</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row4_col5\" class=\"data row4 col5\" >5.88</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row4_col6\" class=\"data row4 col6\" >41.20</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row4_col7\" class=\"data row4 col7\" >2.09</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row4_col8\" class=\"data row4 col8\" >4.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row4_col9\" class=\"data row4 col9\" >277.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row4_col10\" class=\"data row4 col10\" >17.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row4_col11\" class=\"data row4 col11\" >376.60</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row4_col12\" class=\"data row4 col12\" >7.12</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row5_col0\" class=\"data row5 col0\" >0.23</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row5_col1\" class=\"data row5 col1\" >0.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row5_col2\" class=\"data row5 col2\" >9.79</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row5_col3\" class=\"data row5 col3\" >0.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row5_col4\" class=\"data row5 col4\" >0.54</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row5_col5\" class=\"data row5 col5\" >6.21</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row5_col6\" class=\"data row5 col6\" >76.50</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row5_col7\" class=\"data row5 col7\" >3.21</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row5_col8\" class=\"data row5 col8\" >5.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row5_col9\" class=\"data row5 col9\" >332.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row5_col10\" class=\"data row5 col10\" >19.10</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row5_col11\" class=\"data row5 col11\" >390.94</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row5_col12\" class=\"data row5 col12\" >10.99</td>\n",
+ " <th id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row5_col0\" class=\"data row5 col0\" >0.25</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row5_col1\" class=\"data row5 col1\" >0.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row5_col2\" class=\"data row5 col2\" >9.90</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row5_col3\" class=\"data row5 col3\" >0.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row5_col4\" class=\"data row5 col4\" >0.54</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row5_col5\" class=\"data row5 col5\" >6.21</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row5_col6\" class=\"data row5 col6\" >76.50</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row5_col7\" class=\"data row5 col7\" >3.27</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row5_col8\" class=\"data row5 col8\" >5.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row5_col9\" class=\"data row5 col9\" >330.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row5_col10\" class=\"data row5 col10\" >19.10</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row5_col11\" class=\"data row5 col11\" >392.28</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row5_col12\" class=\"data row5 col12\" >11.38</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row6_col0\" class=\"data row6 col0\" >3.69</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row6_col1\" class=\"data row6 col1\" >12.50</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row6_col2\" class=\"data row6 col2\" >18.10</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row6_col3\" class=\"data row6 col3\" >0.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row6_col4\" class=\"data row6 col4\" >0.63</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row6_col5\" class=\"data row6 col5\" >6.63</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row6_col6\" class=\"data row6 col6\" >94.25</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row6_col7\" class=\"data row6 col7\" >5.12</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row6_col8\" class=\"data row6 col8\" >24.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row6_col9\" class=\"data row6 col9\" >666.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row6_col10\" class=\"data row6 col10\" >20.20</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row6_col11\" class=\"data row6 col11\" >396.12</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row6_col12\" class=\"data row6 col12\" >16.63</td>\n",
+ " <th id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row6_col0\" class=\"data row6 col0\" >3.52</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row6_col1\" class=\"data row6 col1\" >20.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row6_col2\" class=\"data row6 col2\" >18.10</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row6_col3\" class=\"data row6 col3\" >0.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row6_col4\" class=\"data row6 col4\" >0.62</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row6_col5\" class=\"data row6 col5\" >6.60</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row6_col6\" class=\"data row6 col6\" >94.07</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row6_col7\" class=\"data row6 col7\" >5.23</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row6_col8\" class=\"data row6 col8\" >24.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row6_col9\" class=\"data row6 col9\" >666.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row6_col10\" class=\"data row6 col10\" >20.20</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row6_col11\" class=\"data row6 col11\" >396.78</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row6_col12\" class=\"data row6 col12\" >16.82</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row7_col0\" class=\"data row7 col0\" >88.98</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row7_col1\" class=\"data row7 col1\" >100.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row7_col2\" class=\"data row7 col2\" >27.74</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row7_col3\" class=\"data row7 col3\" >1.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row7_col4\" class=\"data row7 col4\" >0.87</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row7_col5\" class=\"data row7 col5\" >8.70</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row7_col6\" class=\"data row7 col6\" >100.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row7_col7\" class=\"data row7 col7\" >12.13</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row7_col8\" class=\"data row7 col8\" >24.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row7_col9\" class=\"data row7 col9\" >711.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row7_col10\" class=\"data row7 col10\" >22.00</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row7_col11\" class=\"data row7 col11\" >396.90</td>\n",
- " <td id=\"T_f7d13686_5a0b_11ea_81e5_41c397e73795row7_col12\" class=\"data row7 col12\" >37.97</td>\n",
+ " <th id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row7_col0\" class=\"data row7 col0\" >73.53</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row7_col1\" class=\"data row7 col1\" >100.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row7_col2\" class=\"data row7 col2\" >27.74</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row7_col3\" class=\"data row7 col3\" >1.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row7_col4\" class=\"data row7 col4\" >0.87</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row7_col5\" class=\"data row7 col5\" >8.78</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row7_col6\" class=\"data row7 col6\" >100.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row7_col7\" class=\"data row7 col7\" >10.71</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row7_col8\" class=\"data row7 col8\" >24.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row7_col9\" class=\"data row7 col9\" >711.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row7_col10\" class=\"data row7 col10\" >22.00</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row7_col11\" class=\"data row7 col11\" >396.90</td>\n",
+ " <td id=\"T_2e34d652_f1f5_11ea_9e87_677b8e0bcd08row7_col12\" class=\"data row7 col12\" >34.77</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f2b48b9b810>"
+ "<pandas.io.formats.style.Styler at 0x7ffea457afd0>"
]
},
"metadata": {},
@@ -490,139 +494,139 @@
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
- "</style><table id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795\" ><caption>After normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
+ "</style><table id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08\" ><caption>After normalization :</caption><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >crim</th> <th class=\"col_heading level0 col1\" >zn</th> <th class=\"col_heading level0 col2\" >indus</th> <th class=\"col_heading level0 col3\" >chas</th> <th class=\"col_heading level0 col4\" >nox</th> <th class=\"col_heading level0 col5\" >rm</th> <th class=\"col_heading level0 col6\" >age</th> <th class=\"col_heading level0 col7\" >dis</th> <th class=\"col_heading level0 col8\" >rad</th> <th class=\"col_heading level0 col9\" >tax</th> <th class=\"col_heading level0 col10\" >ptratio</th> <th class=\"col_heading level0 col11\" >b</th> <th class=\"col_heading level0 col12\" >lstat</th> </tr></thead><tbody>\n",
" <tr>\n",
- " <th id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
+ " <th id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row0_col0\" class=\"data row0 col0\" >354.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row0_col1\" class=\"data row0 col1\" >354.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row0_col2\" class=\"data row0 col2\" >354.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row0_col3\" class=\"data row0 col3\" >354.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row0_col4\" class=\"data row0 col4\" >354.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row0_col5\" class=\"data row0 col5\" >354.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row0_col6\" class=\"data row0 col6\" >354.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row0_col7\" class=\"data row0 col7\" >354.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row0_col8\" class=\"data row0 col8\" >354.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row0_col9\" class=\"data row0 col9\" >354.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row0_col10\" class=\"data row0 col10\" >354.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row0_col11\" class=\"data row0 col11\" >354.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row0_col12\" class=\"data row0 col12\" >354.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row1_col0\" class=\"data row1 col0\" >-0.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row1_col1\" class=\"data row1 col1\" >-0.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row1_col2\" class=\"data row1 col2\" >0.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row1_col4\" class=\"data row1 col4\" >-0.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row1_col5\" class=\"data row1 col5\" >0.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row1_col6\" class=\"data row1 col6\" >0.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row1_col7\" class=\"data row1 col7\" >-0.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row1_col8\" class=\"data row1 col8\" >0.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row1_col9\" class=\"data row1 col9\" >0.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row1_col10\" class=\"data row1 col10\" >0.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row1_col11\" class=\"data row1 col11\" >0.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row1_col12\" class=\"data row1 col12\" >-0.00</td>\n",
+ " <th id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row1_col0\" class=\"data row1 col0\" >0.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row1_col1\" class=\"data row1 col1\" >-0.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row1_col2\" class=\"data row1 col2\" >-0.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row1_col4\" class=\"data row1 col4\" >-0.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row1_col5\" class=\"data row1 col5\" >0.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row1_col6\" class=\"data row1 col6\" >0.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row1_col7\" class=\"data row1 col7\" >0.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row1_col8\" class=\"data row1 col8\" >-0.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row1_col9\" class=\"data row1 col9\" >0.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row1_col10\" class=\"data row1 col10\" >0.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row1_col11\" class=\"data row1 col11\" >-0.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row1_col12\" class=\"data row1 col12\" >0.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row2_col0\" class=\"data row2 col0\" >1.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row2_col1\" class=\"data row2 col1\" >1.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row2_col3\" class=\"data row2 col3\" >1.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row2_col4\" class=\"data row2 col4\" >1.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row2_col5\" class=\"data row2 col5\" >1.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row2_col6\" class=\"data row2 col6\" >1.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row2_col7\" class=\"data row2 col7\" >1.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row2_col8\" class=\"data row2 col8\" >1.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row2_col9\" class=\"data row2 col9\" >1.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row2_col10\" class=\"data row2 col10\" >1.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row2_col11\" class=\"data row2 col11\" >1.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row2_col12\" class=\"data row2 col12\" >1.00</td>\n",
+ " <th id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row2_col0\" class=\"data row2 col0\" >1.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row2_col1\" class=\"data row2 col1\" >1.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row2_col3\" class=\"data row2 col3\" >1.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row2_col4\" class=\"data row2 col4\" >1.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row2_col5\" class=\"data row2 col5\" >1.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row2_col6\" class=\"data row2 col6\" >1.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row2_col7\" class=\"data row2 col7\" >1.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row2_col8\" class=\"data row2 col8\" >1.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row2_col9\" class=\"data row2 col9\" >1.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row2_col10\" class=\"data row2 col10\" >1.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row2_col11\" class=\"data row2 col11\" >1.00</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row2_col12\" class=\"data row2 col12\" >1.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row3_col0\" class=\"data row3 col0\" >-0.41</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row3_col1\" class=\"data row3 col1\" >-0.48</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row3_col2\" class=\"data row3 col2\" >-1.46</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row3_col3\" class=\"data row3 col3\" >-0.29</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row3_col4\" class=\"data row3 col4\" >-1.46</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row3_col5\" class=\"data row3 col5\" >-3.99</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row3_col6\" class=\"data row3 col6\" >-2.26</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row3_col7\" class=\"data row3 col7\" >-1.26</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row3_col8\" class=\"data row3 col8\" >-0.99</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row3_col9\" class=\"data row3 col9\" >-1.32</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row3_col10\" class=\"data row3 col10\" >-2.69</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row3_col11\" class=\"data row3 col11\" >-3.90</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row3_col12\" class=\"data row3 col12\" >-1.55</td>\n",
+ " <th id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row3_col0\" class=\"data row3 col0\" >-0.43</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row3_col1\" class=\"data row3 col1\" >-0.50</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row3_col2\" class=\"data row3 col2\" >-1.55</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row3_col3\" class=\"data row3 col3\" >-0.28</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row3_col4\" class=\"data row3 col4\" >-1.44</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row3_col5\" class=\"data row3 col5\" >-4.04</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row3_col6\" class=\"data row3 col6\" >-2.10</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row3_col7\" class=\"data row3 col7\" >-1.27</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row3_col8\" class=\"data row3 col8\" >-0.96</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row3_col9\" class=\"data row3 col9\" >-1.29</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row3_col10\" class=\"data row3 col10\" >-2.69</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row3_col11\" class=\"data row3 col11\" >-3.76</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row3_col12\" class=\"data row3 col12\" >-1.55</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row4_col0\" class=\"data row4 col0\" >-0.40</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row4_col1\" class=\"data row4 col1\" >-0.48</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row4_col2\" class=\"data row4 col2\" >-0.89</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row4_col3\" class=\"data row4 col3\" >-0.29</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row4_col4\" class=\"data row4 col4\" >-0.91</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row4_col5\" class=\"data row4 col5\" >-0.59</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row4_col6\" class=\"data row4 col6\" >-0.89</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row4_col7\" class=\"data row4 col7\" >-0.80</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row4_col8\" class=\"data row4 col8\" >-0.65</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row4_col9\" class=\"data row4 col9\" >-0.78</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row4_col10\" class=\"data row4 col10\" >-0.67</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row4_col11\" class=\"data row4 col11\" >0.21</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row4_col12\" class=\"data row4 col12\" >-0.77</td>\n",
+ " <th id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row4_col0\" class=\"data row4 col0\" >-0.42</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row4_col1\" class=\"data row4 col1\" >-0.50</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row4_col2\" class=\"data row4 col2\" >-0.88</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row4_col3\" class=\"data row4 col3\" >-0.28</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row4_col4\" class=\"data row4 col4\" >-0.90</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row4_col5\" class=\"data row4 col5\" >-0.59</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row4_col6\" class=\"data row4 col6\" >-0.89</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row4_col7\" class=\"data row4 col7\" >-0.83</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row4_col8\" class=\"data row4 col8\" >-0.62</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row4_col9\" class=\"data row4 col9\" >-0.77</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row4_col10\" class=\"data row4 col10\" >-0.67</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row4_col11\" class=\"data row4 col11\" >0.22</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row4_col12\" class=\"data row4 col12\" >-0.78</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row5_col0\" class=\"data row5 col0\" >-0.38</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row5_col1\" class=\"data row5 col1\" >-0.48</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row5_col2\" class=\"data row5 col2\" >-0.22</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row5_col3\" class=\"data row5 col3\" >-0.29</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row5_col4\" class=\"data row5 col4\" >-0.17</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row5_col5\" class=\"data row5 col5\" >-0.12</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row5_col6\" class=\"data row5 col6\" >0.31</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row5_col7\" class=\"data row5 col7\" >-0.26</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row5_col8\" class=\"data row5 col8\" >-0.53</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row5_col9\" class=\"data row5 col9\" >-0.47</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row5_col10\" class=\"data row5 col10\" >0.30</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row5_col11\" class=\"data row5 col11\" >0.39</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row5_col12\" class=\"data row5 col12\" >-0.21</td>\n",
+ " <th id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row5_col0\" class=\"data row5 col0\" >-0.39</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row5_col1\" class=\"data row5 col1\" >-0.50</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row5_col2\" class=\"data row5 col2\" >-0.21</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row5_col3\" class=\"data row5 col3\" >-0.28</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row5_col4\" class=\"data row5 col4\" >-0.13</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row5_col5\" class=\"data row5 col5\" >-0.09</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row5_col6\" class=\"data row5 col6\" >0.33</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row5_col7\" class=\"data row5 col7\" >-0.26</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row5_col8\" class=\"data row5 col8\" >-0.51</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row5_col9\" class=\"data row5 col9\" >-0.46</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row5_col10\" class=\"data row5 col10\" >0.30</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row5_col11\" class=\"data row5 col11\" >0.38</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row5_col12\" class=\"data row5 col12\" >-0.15</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row6_col0\" class=\"data row6 col0\" >-0.01</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row6_col1\" class=\"data row6 col1\" >0.08</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row6_col2\" class=\"data row6 col2\" >1.00</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row6_col3\" class=\"data row6 col3\" >-0.29</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row6_col4\" class=\"data row6 col4\" >0.62</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row6_col5\" class=\"data row6 col5\" >0.49</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row6_col6\" class=\"data row6 col6\" >0.92</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row6_col7\" class=\"data row6 col7\" >0.65</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row6_col8\" class=\"data row6 col8\" >1.64</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row6_col9\" class=\"data row6 col9\" >1.49</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row6_col10\" class=\"data row6 col10\" >0.80</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row6_col11\" class=\"data row6 col11\" >0.45</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row6_col12\" class=\"data row6 col12\" >0.60</td>\n",
+ " <th id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row6_col0\" class=\"data row6 col0\" >0.03</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row6_col1\" class=\"data row6 col1\" >0.31</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row6_col2\" class=\"data row6 col2\" >0.95</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row6_col3\" class=\"data row6 col3\" >-0.28</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row6_col4\" class=\"data row6 col4\" >0.60</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row6_col5\" class=\"data row6 col5\" >0.49</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row6_col6\" class=\"data row6 col6\" >0.93</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row6_col7\" class=\"data row6 col7\" >0.67</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row6_col8\" class=\"data row6 col8\" >1.66</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row6_col9\" class=\"data row6 col9\" >1.51</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row6_col10\" class=\"data row6 col10\" >0.81</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row6_col11\" class=\"data row6 col11\" >0.43</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row6_col12\" class=\"data row6 col12\" >0.65</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row7_col0\" class=\"data row7 col0\" >9.13</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row7_col1\" class=\"data row7 col1\" >4.01</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row7_col2\" class=\"data row7 col2\" >2.41</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row7_col3\" class=\"data row7 col3\" >3.41</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row7_col4\" class=\"data row7 col4\" >2.64</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row7_col5\" class=\"data row7 col5\" >3.50</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row7_col6\" class=\"data row7 col6\" >1.13</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row7_col7\" class=\"data row7 col7\" >4.01</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row7_col8\" class=\"data row7 col8\" >1.64</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row7_col9\" class=\"data row7 col9\" >1.76</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row7_col10\" class=\"data row7 col10\" >1.63</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row7_col11\" class=\"data row7 col11\" >0.46</td>\n",
- " <td id=\"T_f7d89eee_5a0b_11ea_81e5_41c397e73795row7_col12\" class=\"data row7 col12\" >3.69</td>\n",
+ " <th id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row7_col0\" class=\"data row7 col0\" >9.02</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row7_col1\" class=\"data row7 col1\" >3.58</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row7_col2\" class=\"data row7 col2\" >2.32</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row7_col3\" class=\"data row7 col3\" >3.55</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row7_col4\" class=\"data row7 col4\" >2.71</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row7_col5\" class=\"data row7 col5\" >3.74</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row7_col6\" class=\"data row7 col6\" >1.14</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row7_col7\" class=\"data row7 col7\" >3.29</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row7_col8\" class=\"data row7 col8\" >1.66</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row7_col9\" class=\"data row7 col9\" >1.78</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row7_col10\" class=\"data row7 col10\" >1.64</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row7_col11\" class=\"data row7 col11\" >0.43</td>\n",
+ " <td id=\"T_2e3c00da_f1f5_11ea_9e87_677b8e0bcd08row7_col12\" class=\"data row7 col12\" >3.30</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7f2b48814c10>"
+ "<pandas.io.formats.style.Styler at 0x7ffea452d1d0>"
]
},
"metadata": {},
@@ -657,7 +661,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@@ -685,7 +689,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
@@ -736,7 +740,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
@@ -755,7 +759,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
@@ -764,205 +768,205 @@
"text": [
"Train on 354 samples, validate on 152 samples\n",
"Epoch 1/100\n",
- "354/354 [==============================] - 1s 3ms/sample - loss: 452.0200 - mae: 19.1483 - mse: 452.0200 - val_loss: 295.4043 - val_mae: 15.2476 - val_mse: 295.4043\n",
+ "354/354 [==============================] - 1s 2ms/sample - loss: 429.1682 - mae: 18.8468 - mse: 429.1683 - val_loss: 352.0686 - val_mae: 16.2867 - val_mse: 352.0686\n",
"Epoch 2/100\n",
- "354/354 [==============================] - 0s 318us/sample - loss: 203.8159 - mae: 11.9110 - mse: 203.8159 - val_loss: 102.2654 - val_mae: 8.2041 - val_mse: 102.2654\n",
+ "354/354 [==============================] - 0s 220us/sample - loss: 187.3996 - mae: 11.6919 - mse: 187.3996 - val_loss: 124.8861 - val_mae: 8.8280 - val_mse: 124.8861\n",
"Epoch 3/100\n",
- "354/354 [==============================] - 0s 322us/sample - loss: 82.2725 - mae: 6.6720 - mse: 82.2725 - val_loss: 48.9591 - val_mae: 5.3325 - val_mse: 48.9591\n",
+ "354/354 [==============================] - 0s 226us/sample - loss: 60.9587 - mae: 6.1852 - mse: 60.9587 - val_loss: 64.7766 - val_mae: 5.7120 - val_mse: 64.7766\n",
"Epoch 4/100\n",
- "354/354 [==============================] - 0s 330us/sample - loss: 47.3532 - mae: 4.9323 - mse: 47.3532 - val_loss: 30.3381 - val_mae: 4.0806 - val_mse: 30.3381\n",
+ "354/354 [==============================] - 0s 215us/sample - loss: 33.4901 - mae: 4.3295 - mse: 33.4901 - val_loss: 42.7490 - val_mae: 4.3789 - val_mse: 42.7490\n",
"Epoch 5/100\n",
- "354/354 [==============================] - 0s 332us/sample - loss: 34.2380 - mae: 4.1989 - mse: 34.2380 - val_loss: 25.3102 - val_mae: 3.6149 - val_mse: 25.3102\n",
+ "354/354 [==============================] - 0s 218us/sample - loss: 23.7739 - mae: 3.5450 - mse: 23.7739 - val_loss: 35.5486 - val_mae: 3.8631 - val_mse: 35.5486\n",
"Epoch 6/100\n",
- "354/354 [==============================] - 0s 330us/sample - loss: 27.7203 - mae: 3.7333 - mse: 27.7203 - val_loss: 24.1136 - val_mae: 3.4089 - val_mse: 24.1136\n",
+ "354/354 [==============================] - 0s 224us/sample - loss: 18.6308 - mae: 3.0728 - mse: 18.6308 - val_loss: 31.7546 - val_mae: 3.6386 - val_mse: 31.7546\n",
"Epoch 7/100\n",
- "354/354 [==============================] - 0s 336us/sample - loss: 23.4702 - mae: 3.4503 - mse: 23.4702 - val_loss: 21.9095 - val_mae: 3.1906 - val_mse: 21.9095\n",
+ "354/354 [==============================] - 0s 219us/sample - loss: 16.3552 - mae: 2.8485 - mse: 16.3552 - val_loss: 29.6702 - val_mae: 3.5472 - val_mse: 29.6702\n",
"Epoch 8/100\n",
- "354/354 [==============================] - 0s 322us/sample - loss: 19.8215 - mae: 3.1687 - mse: 19.8215 - val_loss: 21.9063 - val_mae: 3.2564 - val_mse: 21.9063\n",
+ "354/354 [==============================] - 0s 225us/sample - loss: 15.0688 - mae: 2.7065 - mse: 15.0688 - val_loss: 27.7940 - val_mae: 3.4281 - val_mse: 27.7940\n",
"Epoch 9/100\n",
- "354/354 [==============================] - 0s 326us/sample - loss: 17.6146 - mae: 2.9640 - mse: 17.6146 - val_loss: 19.1573 - val_mae: 2.9280 - val_mse: 19.1573\n",
+ "354/354 [==============================] - 0s 219us/sample - loss: 13.7102 - mae: 2.5252 - mse: 13.7102 - val_loss: 25.8524 - val_mae: 3.3030 - val_mse: 25.8524\n",
"Epoch 10/100\n",
- "354/354 [==============================] - 0s 288us/sample - loss: 15.9631 - mae: 2.8267 - mse: 15.9631 - val_loss: 19.1600 - val_mae: 2.8806 - val_mse: 19.1600\n",
+ "354/354 [==============================] - 0s 214us/sample - loss: 13.0620 - mae: 2.4623 - mse: 13.0620 - val_loss: 24.1970 - val_mae: 3.2497 - val_mse: 24.1970\n",
"Epoch 11/100\n",
- "354/354 [==============================] - 0s 326us/sample - loss: 14.4344 - mae: 2.6588 - mse: 14.4344 - val_loss: 18.0972 - val_mae: 2.7704 - val_mse: 18.0972\n",
+ "354/354 [==============================] - 0s 181us/sample - loss: 12.3652 - mae: 2.4164 - mse: 12.3652 - val_loss: 25.3418 - val_mae: 3.2958 - val_mse: 25.3418\n",
"Epoch 12/100\n",
- "354/354 [==============================] - 0s 330us/sample - loss: 13.3890 - mae: 2.5821 - mse: 13.3890 - val_loss: 18.0529 - val_mae: 2.7683 - val_mse: 18.0529\n",
+ "354/354 [==============================] - 0s 209us/sample - loss: 11.8866 - mae: 2.3633 - mse: 11.8866 - val_loss: 23.2097 - val_mae: 3.1934 - val_mse: 23.2097\n",
"Epoch 13/100\n",
- "354/354 [==============================] - 0s 326us/sample - loss: 12.7002 - mae: 2.5117 - mse: 12.7002 - val_loss: 17.7848 - val_mae: 2.6781 - val_mse: 17.7848\n",
+ "354/354 [==============================] - 0s 175us/sample - loss: 11.5238 - mae: 2.2892 - mse: 11.5238 - val_loss: 23.2434 - val_mae: 3.1315 - val_mse: 23.2434\n",
"Epoch 14/100\n",
- "354/354 [==============================] - 0s 279us/sample - loss: 11.8030 - mae: 2.4625 - mse: 11.8030 - val_loss: 18.4840 - val_mae: 2.7626 - val_mse: 18.4840\n",
+ "354/354 [==============================] - 0s 208us/sample - loss: 11.1692 - mae: 2.2504 - mse: 11.1692 - val_loss: 22.5373 - val_mae: 3.0818 - val_mse: 22.5373\n",
"Epoch 15/100\n",
- "354/354 [==============================] - 0s 331us/sample - loss: 11.4627 - mae: 2.3904 - mse: 11.4627 - val_loss: 17.1289 - val_mae: 2.6199 - val_mse: 17.1289\n",
+ "354/354 [==============================] - 0s 215us/sample - loss: 10.8398 - mae: 2.2416 - mse: 10.8398 - val_loss: 21.5891 - val_mae: 3.0361 - val_mse: 21.5891\n",
"Epoch 16/100\n",
- "354/354 [==============================] - 0s 284us/sample - loss: 11.1781 - mae: 2.3387 - mse: 11.1781 - val_loss: 17.9369 - val_mae: 2.6804 - val_mse: 17.9369\n",
+ "354/354 [==============================] - 0s 171us/sample - loss: 10.7131 - mae: 2.2010 - mse: 10.7131 - val_loss: 22.0238 - val_mae: 3.0444 - val_mse: 22.0238\n",
"Epoch 17/100\n",
- "354/354 [==============================] - 0s 326us/sample - loss: 10.7485 - mae: 2.3250 - mse: 10.7485 - val_loss: 16.6649 - val_mae: 2.5390 - val_mse: 16.6649\n",
+ "354/354 [==============================] - 0s 207us/sample - loss: 10.4554 - mae: 2.2160 - mse: 10.4554 - val_loss: 20.3310 - val_mae: 3.0210 - val_mse: 20.3310\n",
"Epoch 18/100\n",
- "354/354 [==============================] - 0s 294us/sample - loss: 10.5149 - mae: 2.2548 - mse: 10.5149 - val_loss: 18.1112 - val_mae: 2.6858 - val_mse: 18.1112\n",
+ "354/354 [==============================] - 0s 215us/sample - loss: 10.1969 - mae: 2.1522 - mse: 10.1969 - val_loss: 19.8989 - val_mae: 3.0406 - val_mse: 19.8989\n",
"Epoch 19/100\n",
- "354/354 [==============================] - 0s 295us/sample - loss: 10.4495 - mae: 2.2872 - mse: 10.4495 - val_loss: 17.9377 - val_mae: 2.6937 - val_mse: 17.9377\n",
+ "354/354 [==============================] - 0s 231us/sample - loss: 9.8782 - mae: 2.1273 - mse: 9.8782 - val_loss: 19.5894 - val_mae: 3.0204 - val_mse: 19.5894\n",
"Epoch 20/100\n",
- "354/354 [==============================] - 0s 277us/sample - loss: 10.2075 - mae: 2.2586 - mse: 10.2075 - val_loss: 17.5565 - val_mae: 2.5374 - val_mse: 17.5565\n",
+ "354/354 [==============================] - 0s 179us/sample - loss: 9.6757 - mae: 2.1045 - mse: 9.6757 - val_loss: 20.2566 - val_mae: 2.9530 - val_mse: 20.2566\n",
"Epoch 21/100\n",
- "354/354 [==============================] - 0s 325us/sample - loss: 10.0869 - mae: 2.2396 - mse: 10.0869 - val_loss: 16.2770 - val_mae: 2.4551 - val_mse: 16.2770\n",
+ "354/354 [==============================] - 0s 209us/sample - loss: 9.7305 - mae: 2.1052 - mse: 9.7305 - val_loss: 19.3397 - val_mae: 2.9417 - val_mse: 19.3397\n",
"Epoch 22/100\n",
- "354/354 [==============================] - 0s 278us/sample - loss: 9.5957 - mae: 2.1407 - mse: 9.5957 - val_loss: 17.8160 - val_mae: 2.6874 - val_mse: 17.8160\n",
+ "354/354 [==============================] - 0s 173us/sample - loss: 9.3255 - mae: 2.0713 - mse: 9.3255 - val_loss: 20.6716 - val_mae: 2.9769 - val_mse: 20.6716\n",
"Epoch 23/100\n",
- "354/354 [==============================] - 0s 304us/sample - loss: 9.7569 - mae: 2.2057 - mse: 9.7569 - val_loss: 15.5761 - val_mae: 2.4537 - val_mse: 15.5761\n",
+ "354/354 [==============================] - 0s 174us/sample - loss: 9.4971 - mae: 2.0784 - mse: 9.4971 - val_loss: 19.5308 - val_mae: 2.8951 - val_mse: 19.5308\n",
"Epoch 24/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 9.4873 - mae: 2.1643 - mse: 9.4873 - val_loss: 16.8661 - val_mae: 2.5735 - val_mse: 16.8661\n",
+ "354/354 [==============================] - 0s 171us/sample - loss: 9.3786 - mae: 2.0279 - mse: 9.3786 - val_loss: 20.0007 - val_mae: 2.9042 - val_mse: 20.0007\n",
"Epoch 25/100\n",
- "354/354 [==============================] - 0s 287us/sample - loss: 9.0956 - mae: 2.1422 - mse: 9.0956 - val_loss: 16.5815 - val_mae: 2.4812 - val_mse: 16.5815\n",
+ "354/354 [==============================] - 0s 164us/sample - loss: 9.2494 - mae: 2.0473 - mse: 9.2494 - val_loss: 19.8543 - val_mae: 2.9153 - val_mse: 19.8543\n",
"Epoch 26/100\n",
- "354/354 [==============================] - 0s 288us/sample - loss: 9.3352 - mae: 2.1471 - mse: 9.3352 - val_loss: 16.0146 - val_mae: 2.4404 - val_mse: 16.0146\n",
+ "354/354 [==============================] - 0s 178us/sample - loss: 8.8924 - mae: 1.9611 - mse: 8.8924 - val_loss: 20.1059 - val_mae: 3.0175 - val_mse: 20.1059\n",
"Epoch 27/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 8.6794 - mae: 2.0948 - mse: 8.6794 - val_loss: 18.2565 - val_mae: 2.7272 - val_mse: 18.2565\n",
+ "354/354 [==============================] - 0s 211us/sample - loss: 8.8493 - mae: 1.9850 - mse: 8.8493 - val_loss: 19.0924 - val_mae: 2.9133 - val_mse: 19.0924\n",
"Epoch 28/100\n",
- "354/354 [==============================] - 0s 294us/sample - loss: 8.9854 - mae: 2.1159 - mse: 8.9854 - val_loss: 16.4515 - val_mae: 2.5282 - val_mse: 16.4515\n",
+ "354/354 [==============================] - 0s 222us/sample - loss: 8.7235 - mae: 1.9539 - mse: 8.7235 - val_loss: 18.8848 - val_mae: 2.8254 - val_mse: 18.8848\n",
"Epoch 29/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 8.8348 - mae: 2.1032 - mse: 8.8348 - val_loss: 17.2604 - val_mae: 2.5932 - val_mse: 17.2604\n",
+ "354/354 [==============================] - 0s 212us/sample - loss: 8.4714 - mae: 1.9410 - mse: 8.4714 - val_loss: 18.6757 - val_mae: 2.8632 - val_mse: 18.6757\n",
"Epoch 30/100\n",
- "354/354 [==============================] - 0s 244us/sample - loss: 8.7365 - mae: 2.0970 - mse: 8.7365 - val_loss: 16.1155 - val_mae: 2.4509 - val_mse: 16.1155\n",
+ "354/354 [==============================] - 0s 213us/sample - loss: 8.5340 - mae: 1.9305 - mse: 8.5340 - val_loss: 17.5472 - val_mae: 2.9041 - val_mse: 17.5472\n",
"Epoch 31/100\n",
- "354/354 [==============================] - 0s 282us/sample - loss: 8.6290 - mae: 2.0487 - mse: 8.6290 - val_loss: 16.9125 - val_mae: 2.5010 - val_mse: 16.9125\n",
+ "354/354 [==============================] - 0s 173us/sample - loss: 8.2329 - mae: 1.9490 - mse: 8.2329 - val_loss: 18.3023 - val_mae: 2.8256 - val_mse: 18.3023\n",
"Epoch 32/100\n",
- "354/354 [==============================] - 0s 280us/sample - loss: 8.6531 - mae: 2.0411 - mse: 8.6531 - val_loss: 15.7585 - val_mae: 2.4288 - val_mse: 15.7585\n",
+ "354/354 [==============================] - 0s 179us/sample - loss: 8.2141 - mae: 1.8936 - mse: 8.2141 - val_loss: 19.1499 - val_mae: 2.9304 - val_mse: 19.1499\n",
"Epoch 33/100\n",
- "354/354 [==============================] - 0s 330us/sample - loss: 8.6551 - mae: 2.0516 - mse: 8.6551 - val_loss: 15.4765 - val_mae: 2.4073 - val_mse: 15.4765\n",
+ "354/354 [==============================] - 0s 168us/sample - loss: 8.1556 - mae: 1.8934 - mse: 8.1556 - val_loss: 17.6018 - val_mae: 2.7829 - val_mse: 17.6018\n",
"Epoch 34/100\n",
- "354/354 [==============================] - 0s 292us/sample - loss: 8.4218 - mae: 2.0072 - mse: 8.4218 - val_loss: 16.2900 - val_mae: 2.5081 - val_mse: 16.2900\n",
+ "354/354 [==============================] - 0s 213us/sample - loss: 8.0088 - mae: 1.8932 - mse: 8.0088 - val_loss: 17.0437 - val_mae: 2.7469 - val_mse: 17.0437\n",
"Epoch 35/100\n",
- "354/354 [==============================] - 0s 293us/sample - loss: 8.3149 - mae: 1.9851 - mse: 8.3149 - val_loss: 15.7184 - val_mae: 2.4337 - val_mse: 15.7184\n",
+ "354/354 [==============================] - 0s 233us/sample - loss: 7.7964 - mae: 1.8813 - mse: 7.7964 - val_loss: 16.5385 - val_mae: 2.7644 - val_mse: 16.5385\n",
"Epoch 36/100\n",
- "354/354 [==============================] - 0s 289us/sample - loss: 8.4496 - mae: 2.0142 - mse: 8.4496 - val_loss: 16.2760 - val_mae: 2.5489 - val_mse: 16.2760\n",
+ "354/354 [==============================] - 0s 172us/sample - loss: 7.9428 - mae: 1.9060 - mse: 7.9428 - val_loss: 17.1548 - val_mae: 2.8017 - val_mse: 17.1548\n",
"Epoch 37/100\n",
- "354/354 [==============================] - 0s 334us/sample - loss: 8.0962 - mae: 1.9872 - mse: 8.0962 - val_loss: 15.3895 - val_mae: 2.3543 - val_mse: 15.3895\n",
+ "354/354 [==============================] - 0s 166us/sample - loss: 7.8799 - mae: 1.8151 - mse: 7.8798 - val_loss: 18.0839 - val_mae: 2.7838 - val_mse: 18.0839\n",
"Epoch 38/100\n",
- "354/354 [==============================] - 0s 298us/sample - loss: 8.1599 - mae: 1.9882 - mse: 8.1599 - val_loss: 16.0081 - val_mae: 2.3977 - val_mse: 16.0081\n",
+ "354/354 [==============================] - 0s 166us/sample - loss: 7.9034 - mae: 1.8507 - mse: 7.9034 - val_loss: 16.7612 - val_mae: 2.7060 - val_mse: 16.7612\n",
"Epoch 39/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 7.9958 - mae: 1.9817 - mse: 7.9958 - val_loss: 15.8999 - val_mae: 2.4583 - val_mse: 15.8999\n",
+ "354/354 [==============================] - 0s 171us/sample - loss: 7.6441 - mae: 1.8198 - mse: 7.6441 - val_loss: 16.7067 - val_mae: 2.7185 - val_mse: 16.7067\n",
"Epoch 40/100\n",
- "354/354 [==============================] - 0s 282us/sample - loss: 7.8666 - mae: 1.9441 - mse: 7.8666 - val_loss: 16.8131 - val_mae: 2.6931 - val_mse: 16.8131\n",
+ "354/354 [==============================] - 0s 173us/sample - loss: 7.7784 - mae: 1.8554 - mse: 7.7784 - val_loss: 16.5735 - val_mae: 2.6828 - val_mse: 16.5735\n",
"Epoch 41/100\n",
- "354/354 [==============================] - 0s 293us/sample - loss: 7.9312 - mae: 1.9216 - mse: 7.9312 - val_loss: 15.4608 - val_mae: 2.3995 - val_mse: 15.4608\n",
+ "354/354 [==============================] - 0s 222us/sample - loss: 7.4901 - mae: 1.8260 - mse: 7.4901 - val_loss: 16.4810 - val_mae: 2.6926 - val_mse: 16.4810\n",
"Epoch 42/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 7.6752 - mae: 1.9127 - mse: 7.6752 - val_loss: 15.8675 - val_mae: 2.5118 - val_mse: 15.8675\n",
+ "354/354 [==============================] - 0s 171us/sample - loss: 7.4583 - mae: 1.7847 - mse: 7.4583 - val_loss: 16.6520 - val_mae: 2.6816 - val_mse: 16.6520\n",
"Epoch 43/100\n",
- "354/354 [==============================] - 0s 332us/sample - loss: 7.7535 - mae: 1.9296 - mse: 7.7535 - val_loss: 15.2040 - val_mae: 2.3731 - val_mse: 15.2040\n",
+ "354/354 [==============================] - 0s 213us/sample - loss: 7.1234 - mae: 1.8169 - mse: 7.1234 - val_loss: 16.1394 - val_mae: 2.8231 - val_mse: 16.1394\n",
"Epoch 44/100\n",
- "354/354 [==============================] - 0s 331us/sample - loss: 7.6188 - mae: 1.9150 - mse: 7.6188 - val_loss: 15.0409 - val_mae: 2.3680 - val_mse: 15.0409\n",
+ "354/354 [==============================] - 0s 176us/sample - loss: 7.3209 - mae: 1.8194 - mse: 7.3209 - val_loss: 17.1395 - val_mae: 2.7080 - val_mse: 17.1395\n",
"Epoch 45/100\n",
- "354/354 [==============================] - 0s 284us/sample - loss: 7.6286 - mae: 1.8755 - mse: 7.6286 - val_loss: 15.1650 - val_mae: 2.3595 - val_mse: 15.1650\n",
+ "354/354 [==============================] - 0s 175us/sample - loss: 7.2618 - mae: 1.7858 - mse: 7.2618 - val_loss: 16.5276 - val_mae: 2.6765 - val_mse: 16.5276\n",
"Epoch 46/100\n",
- "354/354 [==============================] - 0s 278us/sample - loss: 7.7937 - mae: 1.9318 - mse: 7.7937 - val_loss: 15.7196 - val_mae: 2.4218 - val_mse: 15.7196\n",
+ "354/354 [==============================] - 0s 174us/sample - loss: 7.0747 - mae: 1.7662 - mse: 7.0747 - val_loss: 16.8039 - val_mae: 2.7428 - val_mse: 16.8039\n",
"Epoch 47/100\n",
- "354/354 [==============================] - 0s 275us/sample - loss: 7.4244 - mae: 1.9022 - mse: 7.4244 - val_loss: 15.5651 - val_mae: 2.4811 - val_mse: 15.5651\n",
+ "354/354 [==============================] - 0s 205us/sample - loss: 6.9520 - mae: 1.7333 - mse: 6.9520 - val_loss: 15.9968 - val_mae: 2.6659 - val_mse: 15.9968\n",
"Epoch 48/100\n",
- "354/354 [==============================] - 0s 330us/sample - loss: 7.4042 - mae: 1.9083 - mse: 7.4042 - val_loss: 14.7377 - val_mae: 2.3598 - val_mse: 14.7377\n",
+ "354/354 [==============================] - 0s 178us/sample - loss: 6.9232 - mae: 1.7301 - mse: 6.9232 - val_loss: 16.2660 - val_mae: 2.6494 - val_mse: 16.2660\n",
"Epoch 49/100\n",
- "354/354 [==============================] - 0s 270us/sample - loss: 7.3230 - mae: 1.8741 - mse: 7.3230 - val_loss: 15.2313 - val_mae: 2.4210 - val_mse: 15.2313\n",
+ "354/354 [==============================] - 0s 207us/sample - loss: 7.0229 - mae: 1.7404 - mse: 7.0229 - val_loss: 15.6720 - val_mae: 2.6691 - val_mse: 15.6720\n",
"Epoch 50/100\n",
- "354/354 [==============================] - 0s 276us/sample - loss: 7.3075 - mae: 1.8614 - mse: 7.3075 - val_loss: 14.7584 - val_mae: 2.3305 - val_mse: 14.7584\n",
+ "354/354 [==============================] - 0s 184us/sample - loss: 6.7251 - mae: 1.7580 - mse: 6.7251 - val_loss: 17.0077 - val_mae: 2.7250 - val_mse: 17.0077\n",
"Epoch 51/100\n",
- "354/354 [==============================] - 0s 270us/sample - loss: 7.4376 - mae: 1.8956 - mse: 7.4376 - val_loss: 15.3226 - val_mae: 2.3742 - val_mse: 15.3226\n",
+ "354/354 [==============================] - 0s 185us/sample - loss: 6.8393 - mae: 1.7131 - mse: 6.8393 - val_loss: 16.5671 - val_mae: 2.6707 - val_mse: 16.5671\n",
"Epoch 52/100\n",
- "354/354 [==============================] - 0s 287us/sample - loss: 7.1467 - mae: 1.8380 - mse: 7.1467 - val_loss: 15.5150 - val_mae: 2.4291 - val_mse: 15.5150\n",
+ "354/354 [==============================] - 0s 175us/sample - loss: 6.6647 - mae: 1.6831 - mse: 6.6647 - val_loss: 16.2175 - val_mae: 2.6816 - val_mse: 16.2175\n",
"Epoch 53/100\n",
- "354/354 [==============================] - 0s 271us/sample - loss: 6.9376 - mae: 1.8018 - mse: 6.9376 - val_loss: 16.2807 - val_mae: 2.5440 - val_mse: 16.2807\n",
+ "354/354 [==============================] - 0s 174us/sample - loss: 6.5925 - mae: 1.7133 - mse: 6.5925 - val_loss: 16.8129 - val_mae: 2.6882 - val_mse: 16.8129\n",
"Epoch 54/100\n",
- "354/354 [==============================] - 0s 289us/sample - loss: 7.0885 - mae: 1.8170 - mse: 7.0885 - val_loss: 15.2975 - val_mae: 2.4258 - val_mse: 15.2975\n",
+ "354/354 [==============================] - 0s 211us/sample - loss: 6.5071 - mae: 1.6980 - mse: 6.5071 - val_loss: 15.6172 - val_mae: 2.7470 - val_mse: 15.6172\n",
"Epoch 55/100\n",
- "354/354 [==============================] - 0s 284us/sample - loss: 7.0596 - mae: 1.8107 - mse: 7.0596 - val_loss: 15.7460 - val_mae: 2.4825 - val_mse: 15.7460\n",
+ "354/354 [==============================] - 0s 237us/sample - loss: 6.4762 - mae: 1.7064 - mse: 6.4762 - val_loss: 15.1044 - val_mae: 2.6354 - val_mse: 15.1044\n",
"Epoch 56/100\n",
- "354/354 [==============================] - 0s 288us/sample - loss: 6.7812 - mae: 1.8335 - mse: 6.7812 - val_loss: 14.7849 - val_mae: 2.3684 - val_mse: 14.7849\n",
+ "354/354 [==============================] - 0s 173us/sample - loss: 6.2826 - mae: 1.6902 - mse: 6.2826 - val_loss: 17.5892 - val_mae: 2.8422 - val_mse: 17.5892\n",
"Epoch 57/100\n",
- "354/354 [==============================] - 0s 290us/sample - loss: 6.9172 - mae: 1.8140 - mse: 6.9172 - val_loss: 15.1139 - val_mae: 2.4500 - val_mse: 15.1139\n",
+ "354/354 [==============================] - 0s 162us/sample - loss: 6.5736 - mae: 1.7001 - mse: 6.5736 - val_loss: 15.5415 - val_mae: 2.6102 - val_mse: 15.5415\n",
"Epoch 58/100\n",
- "354/354 [==============================] - 0s 284us/sample - loss: 6.8010 - mae: 1.7637 - mse: 6.8010 - val_loss: 16.7211 - val_mae: 2.5769 - val_mse: 16.7211\n",
+ "354/354 [==============================] - 0s 158us/sample - loss: 6.3667 - mae: 1.6807 - mse: 6.3667 - val_loss: 15.3699 - val_mae: 2.6143 - val_mse: 15.3699\n",
"Epoch 59/100\n",
- "354/354 [==============================] - 0s 271us/sample - loss: 6.8954 - mae: 1.8046 - mse: 6.8954 - val_loss: 15.1101 - val_mae: 2.4743 - val_mse: 15.1101\n",
+ "354/354 [==============================] - 0s 175us/sample - loss: 6.3116 - mae: 1.6672 - mse: 6.3116 - val_loss: 15.1690 - val_mae: 2.6191 - val_mse: 15.1690\n",
"Epoch 60/100\n",
- "354/354 [==============================] - 0s 280us/sample - loss: 6.7740 - mae: 1.7866 - mse: 6.7740 - val_loss: 15.0811 - val_mae: 2.3838 - val_mse: 15.0811\n",
+ "354/354 [==============================] - 0s 166us/sample - loss: 6.0480 - mae: 1.6076 - mse: 6.0480 - val_loss: 15.4159 - val_mae: 2.5666 - val_mse: 15.4159\n",
"Epoch 61/100\n",
- "354/354 [==============================] - 0s 323us/sample - loss: 6.8996 - mae: 1.7872 - mse: 6.8996 - val_loss: 14.4203 - val_mae: 2.3199 - val_mse: 14.4203\n",
+ "354/354 [==============================] - 0s 168us/sample - loss: 5.9372 - mae: 1.6170 - mse: 5.9372 - val_loss: 16.3723 - val_mae: 2.7008 - val_mse: 16.3723\n",
"Epoch 62/100\n",
- "354/354 [==============================] - 0s 277us/sample - loss: 6.7188 - mae: 1.7858 - mse: 6.7188 - val_loss: 14.5972 - val_mae: 2.3610 - val_mse: 14.5972\n",
+ "354/354 [==============================] - 0s 209us/sample - loss: 6.2295 - mae: 1.6809 - mse: 6.2295 - val_loss: 14.4432 - val_mae: 2.5659 - val_mse: 14.4432\n",
"Epoch 63/100\n",
- "354/354 [==============================] - 0s 266us/sample - loss: 6.5708 - mae: 1.7710 - mse: 6.5708 - val_loss: 14.5145 - val_mae: 2.3563 - val_mse: 14.5145\n",
+ "354/354 [==============================] - 0s 173us/sample - loss: 6.0430 - mae: 1.6175 - mse: 6.0430 - val_loss: 15.7230 - val_mae: 2.6120 - val_mse: 15.7230\n",
"Epoch 64/100\n",
- "354/354 [==============================] - 0s 273us/sample - loss: 6.1133 - mae: 1.6706 - mse: 6.1133 - val_loss: 14.9870 - val_mae: 2.4017 - val_mse: 14.9870\n",
+ "354/354 [==============================] - 0s 165us/sample - loss: 5.8128 - mae: 1.5988 - mse: 5.8128 - val_loss: 15.3515 - val_mae: 2.6344 - val_mse: 15.3515\n",
"Epoch 65/100\n",
- "354/354 [==============================] - 0s 313us/sample - loss: 6.4980 - mae: 1.7295 - mse: 6.4980 - val_loss: 14.0636 - val_mae: 2.3661 - val_mse: 14.0636\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 6.0937 - mae: 1.6535 - mse: 6.0937 - val_loss: 15.0359 - val_mae: 2.6071 - val_mse: 15.0359\n",
"Epoch 66/100\n",
- "354/354 [==============================] - 0s 262us/sample - loss: 6.5237 - mae: 1.7277 - mse: 6.5237 - val_loss: 14.2366 - val_mae: 2.3318 - val_mse: 14.2366\n",
+ "354/354 [==============================] - 0s 175us/sample - loss: 5.9493 - mae: 1.6212 - mse: 5.9493 - val_loss: 14.5079 - val_mae: 2.5570 - val_mse: 14.5079\n",
"Epoch 67/100\n",
- "354/354 [==============================] - 0s 326us/sample - loss: 6.3067 - mae: 1.7433 - mse: 6.3067 - val_loss: 14.0032 - val_mae: 2.3350 - val_mse: 14.0032\n",
+ "354/354 [==============================] - 0s 167us/sample - loss: 5.7467 - mae: 1.5815 - mse: 5.7467 - val_loss: 15.6834 - val_mae: 2.6418 - val_mse: 15.6834\n",
"Epoch 68/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 6.4447 - mae: 1.7336 - mse: 6.4447 - val_loss: 14.4271 - val_mae: 2.3149 - val_mse: 14.4271\n",
+ "354/354 [==============================] - 0s 175us/sample - loss: 5.7754 - mae: 1.5822 - mse: 5.7754 - val_loss: 15.3485 - val_mae: 2.6661 - val_mse: 15.3485\n",
"Epoch 69/100\n",
- "354/354 [==============================] - 0s 332us/sample - loss: 6.3821 - mae: 1.7012 - mse: 6.3821 - val_loss: 13.9716 - val_mae: 2.3141 - val_mse: 13.9716\n",
+ "354/354 [==============================] - 0s 166us/sample - loss: 5.8671 - mae: 1.6219 - mse: 5.8671 - val_loss: 14.7226 - val_mae: 2.5691 - val_mse: 14.7226\n",
"Epoch 70/100\n",
- "354/354 [==============================] - 0s 251us/sample - loss: 6.3734 - mae: 1.7080 - mse: 6.3734 - val_loss: 14.9184 - val_mae: 2.4716 - val_mse: 14.9184\n",
+ "354/354 [==============================] - 0s 161us/sample - loss: 5.5371 - mae: 1.5618 - mse: 5.5371 - val_loss: 15.4694 - val_mae: 2.7397 - val_mse: 15.4694\n",
"Epoch 71/100\n",
- "354/354 [==============================] - 0s 321us/sample - loss: 6.4273 - mae: 1.7281 - mse: 6.4273 - val_loss: 13.8686 - val_mae: 2.3176 - val_mse: 13.8686\n",
+ "354/354 [==============================] - 0s 184us/sample - loss: 5.7798 - mae: 1.6298 - mse: 5.7798 - val_loss: 14.9847 - val_mae: 2.5864 - val_mse: 14.9847\n",
"Epoch 72/100\n",
- "354/354 [==============================] - 0s 285us/sample - loss: 6.2473 - mae: 1.6967 - mse: 6.2473 - val_loss: 14.2249 - val_mae: 2.3450 - val_mse: 14.2249\n",
+ "354/354 [==============================] - 0s 215us/sample - loss: 5.6852 - mae: 1.5909 - mse: 5.6852 - val_loss: 14.4344 - val_mae: 2.5542 - val_mse: 14.4344\n",
"Epoch 73/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 6.3427 - mae: 1.7034 - mse: 6.3427 - val_loss: 14.3159 - val_mae: 2.3431 - val_mse: 14.3159\n",
+ "354/354 [==============================] - 0s 226us/sample - loss: 5.4654 - mae: 1.5450 - mse: 5.4654 - val_loss: 13.7925 - val_mae: 2.5750 - val_mse: 13.7925\n",
"Epoch 74/100\n",
- "354/354 [==============================] - 0s 287us/sample - loss: 6.0929 - mae: 1.6752 - mse: 6.0929 - val_loss: 14.2151 - val_mae: 2.3644 - val_mse: 14.2151\n",
+ "354/354 [==============================] - 0s 174us/sample - loss: 5.4204 - mae: 1.5595 - mse: 5.4204 - val_loss: 14.3083 - val_mae: 2.5919 - val_mse: 14.3083\n",
"Epoch 75/100\n",
- "354/354 [==============================] - 0s 289us/sample - loss: 6.1445 - mae: 1.6985 - mse: 6.1445 - val_loss: 14.8251 - val_mae: 2.4202 - val_mse: 14.8251\n",
+ "354/354 [==============================] - 0s 170us/sample - loss: 5.3183 - mae: 1.5827 - mse: 5.3183 - val_loss: 14.8913 - val_mae: 2.6033 - val_mse: 14.8913\n",
"Epoch 76/100\n",
- "354/354 [==============================] - 0s 311us/sample - loss: 6.2184 - mae: 1.6867 - mse: 6.2184 - val_loss: 14.0596 - val_mae: 2.3274 - val_mse: 14.0596\n",
+ "354/354 [==============================] - 0s 162us/sample - loss: 5.4595 - mae: 1.5874 - mse: 5.4595 - val_loss: 14.0410 - val_mae: 2.6021 - val_mse: 14.0410\n",
"Epoch 77/100\n",
- "354/354 [==============================] - 0s 340us/sample - loss: 6.1201 - mae: 1.6785 - mse: 6.1201 - val_loss: 13.4886 - val_mae: 2.2769 - val_mse: 13.4886\n",
+ "354/354 [==============================] - 0s 165us/sample - loss: 5.3295 - mae: 1.5586 - mse: 5.3295 - val_loss: 14.4499 - val_mae: 2.6315 - val_mse: 14.4499\n",
"Epoch 78/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 5.9001 - mae: 1.6716 - mse: 5.9001 - val_loss: 14.0295 - val_mae: 2.3214 - val_mse: 14.0295\n",
+ "354/354 [==============================] - 0s 170us/sample - loss: 5.3187 - mae: 1.5144 - mse: 5.3187 - val_loss: 14.8048 - val_mae: 2.6123 - val_mse: 14.8048\n",
"Epoch 79/100\n",
- "354/354 [==============================] - 0s 284us/sample - loss: 6.0389 - mae: 1.6783 - mse: 6.0389 - val_loss: 14.0250 - val_mae: 2.3245 - val_mse: 14.0250\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 5.0078 - mae: 1.5458 - mse: 5.0078 - val_loss: 16.8855 - val_mae: 2.7085 - val_mse: 16.8855\n",
"Epoch 80/100\n",
- "354/354 [==============================] - 0s 288us/sample - loss: 5.8268 - mae: 1.6458 - mse: 5.8268 - val_loss: 15.2746 - val_mae: 2.4834 - val_mse: 15.2746\n",
+ "354/354 [==============================] - 0s 165us/sample - loss: 5.2642 - mae: 1.5158 - mse: 5.2642 - val_loss: 14.1548 - val_mae: 2.5029 - val_mse: 14.1548\n",
"Epoch 81/100\n",
- "354/354 [==============================] - 0s 284us/sample - loss: 5.8671 - mae: 1.6680 - mse: 5.8671 - val_loss: 14.4935 - val_mae: 2.4353 - val_mse: 14.4935\n",
+ "354/354 [==============================] - 0s 157us/sample - loss: 5.1865 - mae: 1.5163 - mse: 5.1865 - val_loss: 14.0614 - val_mae: 2.5335 - val_mse: 14.0614\n",
"Epoch 82/100\n",
- "354/354 [==============================] - 0s 274us/sample - loss: 5.8115 - mae: 1.6742 - mse: 5.8115 - val_loss: 14.6922 - val_mae: 2.3631 - val_mse: 14.6922\n",
+ "354/354 [==============================] - 0s 185us/sample - loss: 5.0460 - mae: 1.5366 - mse: 5.0460 - val_loss: 14.5370 - val_mae: 2.5429 - val_mse: 14.5370\n",
"Epoch 83/100\n",
- "354/354 [==============================] - 0s 331us/sample - loss: 5.8561 - mae: 1.6727 - mse: 5.8561 - val_loss: 13.4236 - val_mae: 2.2982 - val_mse: 13.4236\n",
+ "354/354 [==============================] - 0s 174us/sample - loss: 4.9748 - mae: 1.5005 - mse: 4.9748 - val_loss: 14.7812 - val_mae: 2.6546 - val_mse: 14.7812\n",
"Epoch 84/100\n",
- "354/354 [==============================] - 0s 290us/sample - loss: 5.7500 - mae: 1.5833 - mse: 5.7500 - val_loss: 14.4867 - val_mae: 2.4330 - val_mse: 14.4867\n",
+ "354/354 [==============================] - 0s 173us/sample - loss: 5.1114 - mae: 1.5233 - mse: 5.1114 - val_loss: 14.6264 - val_mae: 2.5917 - val_mse: 14.6264\n",
"Epoch 85/100\n",
- "354/354 [==============================] - 0s 286us/sample - loss: 5.6700 - mae: 1.6435 - mse: 5.6700 - val_loss: 13.9873 - val_mae: 2.3614 - val_mse: 13.9873\n",
+ "354/354 [==============================] - 0s 173us/sample - loss: 4.9709 - mae: 1.4471 - mse: 4.9709 - val_loss: 14.4156 - val_mae: 2.5713 - val_mse: 14.4156\n",
"Epoch 86/100\n",
- "354/354 [==============================] - 0s 268us/sample - loss: 5.6816 - mae: 1.6524 - mse: 5.6816 - val_loss: 13.4864 - val_mae: 2.3505 - val_mse: 13.4864\n",
+ "354/354 [==============================] - 0s 218us/sample - loss: 4.7742 - mae: 1.4547 - mse: 4.7742 - val_loss: 13.4703 - val_mae: 2.6523 - val_mse: 13.4703\n",
"Epoch 87/100\n",
- "354/354 [==============================] - 0s 267us/sample - loss: 5.5838 - mae: 1.6220 - mse: 5.5838 - val_loss: 15.4727 - val_mae: 2.5215 - val_mse: 15.4727\n",
+ "354/354 [==============================] - 0s 176us/sample - loss: 5.0550 - mae: 1.4842 - mse: 5.0550 - val_loss: 13.4970 - val_mae: 2.5958 - val_mse: 13.4970\n",
"Epoch 88/100\n",
- "354/354 [==============================] - 0s 284us/sample - loss: 5.6117 - mae: 1.6208 - mse: 5.6117 - val_loss: 13.6392 - val_mae: 2.3150 - val_mse: 13.6392\n",
+ "354/354 [==============================] - 0s 167us/sample - loss: 4.6993 - mae: 1.5044 - mse: 4.6993 - val_loss: 13.9216 - val_mae: 2.5554 - val_mse: 13.9216\n",
"Epoch 89/100\n",
- "354/354 [==============================] - 0s 324us/sample - loss: 5.5648 - mae: 1.6051 - mse: 5.5648 - val_loss: 13.2082 - val_mae: 2.2858 - val_mse: 13.2082\n",
+ "354/354 [==============================] - 0s 164us/sample - loss: 4.7660 - mae: 1.4815 - mse: 4.7660 - val_loss: 13.6762 - val_mae: 2.5521 - val_mse: 13.6762\n",
"Epoch 90/100\n",
- "354/354 [==============================] - 0s 288us/sample - loss: 5.6019 - mae: 1.5946 - mse: 5.6019 - val_loss: 13.7882 - val_mae: 2.3677 - val_mse: 13.7882\n",
+ "354/354 [==============================] - 0s 166us/sample - loss: 4.6544 - mae: 1.4618 - mse: 4.6544 - val_loss: 14.6759 - val_mae: 2.5828 - val_mse: 14.6759\n",
"Epoch 91/100\n",
- "354/354 [==============================] - 0s 336us/sample - loss: 5.4979 - mae: 1.6000 - mse: 5.4979 - val_loss: 12.9619 - val_mae: 2.2898 - val_mse: 12.9619\n",
+ "354/354 [==============================] - 0s 240us/sample - loss: 4.7288 - mae: 1.4415 - mse: 4.7288 - val_loss: 13.2609 - val_mae: 2.6077 - val_mse: 13.2609\n",
"Epoch 92/100\n",
- "354/354 [==============================] - 0s 294us/sample - loss: 5.4595 - mae: 1.5815 - mse: 5.4595 - val_loss: 13.8617 - val_mae: 2.3735 - val_mse: 13.8617\n",
+ "354/354 [==============================] - 0s 177us/sample - loss: 4.6730 - mae: 1.4331 - mse: 4.6730 - val_loss: 13.4463 - val_mae: 2.7238 - val_mse: 13.4463\n",
"Epoch 93/100\n",
- "354/354 [==============================] - 0s 321us/sample - loss: 5.1999 - mae: 1.6043 - mse: 5.1999 - val_loss: 12.9011 - val_mae: 2.3053 - val_mse: 12.9011\n",
+ "354/354 [==============================] - 0s 163us/sample - loss: 4.4141 - mae: 1.4512 - mse: 4.4141 - val_loss: 13.6472 - val_mae: 2.5763 - val_mse: 13.6472\n",
"Epoch 94/100\n",
- "354/354 [==============================] - 0s 268us/sample - loss: 5.2630 - mae: 1.5463 - mse: 5.2630 - val_loss: 14.3610 - val_mae: 2.4348 - val_mse: 14.3610\n",
+ "354/354 [==============================] - 0s 165us/sample - loss: 4.5136 - mae: 1.4138 - mse: 4.5136 - val_loss: 15.7465 - val_mae: 2.7020 - val_mse: 15.7465\n",
"Epoch 95/100\n",
- "354/354 [==============================] - 0s 300us/sample - loss: 5.3272 - mae: 1.6047 - mse: 5.3272 - val_loss: 12.9650 - val_mae: 2.2989 - val_mse: 12.9650\n",
+ "354/354 [==============================] - 0s 168us/sample - loss: 4.6733 - mae: 1.4679 - mse: 4.6733 - val_loss: 13.3843 - val_mae: 2.5652 - val_mse: 13.3843\n",
"Epoch 96/100\n",
- "354/354 [==============================] - 0s 283us/sample - loss: 5.3137 - mae: 1.5796 - mse: 5.3137 - val_loss: 13.9091 - val_mae: 2.3669 - val_mse: 13.9091\n",
+ "354/354 [==============================] - 0s 174us/sample - loss: 4.6895 - mae: 1.4674 - mse: 4.6895 - val_loss: 13.7346 - val_mae: 2.5467 - val_mse: 13.7346\n",
"Epoch 97/100\n",
- "354/354 [==============================] - 0s 280us/sample - loss: 5.2891 - mae: 1.5773 - mse: 5.2891 - val_loss: 13.2578 - val_mae: 2.3012 - val_mse: 13.2578\n",
+ "354/354 [==============================] - 0s 166us/sample - loss: 4.3689 - mae: 1.4277 - mse: 4.3689 - val_loss: 13.6955 - val_mae: 2.5702 - val_mse: 13.6955\n",
"Epoch 98/100\n",
- "354/354 [==============================] - 0s 264us/sample - loss: 5.3977 - mae: 1.5920 - mse: 5.3977 - val_loss: 13.8690 - val_mae: 2.4075 - val_mse: 13.8690\n",
+ "354/354 [==============================] - 0s 167us/sample - loss: 4.3953 - mae: 1.3996 - mse: 4.3953 - val_loss: 13.6977 - val_mae: 2.5888 - val_mse: 13.6977\n",
"Epoch 99/100\n",
- "354/354 [==============================] - 0s 273us/sample - loss: 5.3071 - mae: 1.5391 - mse: 5.3071 - val_loss: 12.9043 - val_mae: 2.2816 - val_mse: 12.9043\n",
+ "354/354 [==============================] - 0s 160us/sample - loss: 4.3799 - mae: 1.4405 - mse: 4.3799 - val_loss: 15.0689 - val_mae: 2.6300 - val_mse: 15.0689\n",
"Epoch 100/100\n",
- "354/354 [==============================] - 0s 318us/sample - loss: 5.2748 - mae: 1.5458 - mse: 5.2748 - val_loss: 12.6915 - val_mae: 2.2683 - val_mse: 12.6915\n"
+ "354/354 [==============================] - 0s 205us/sample - loss: 4.3640 - mae: 1.4099 - mse: 4.3640 - val_loss: 12.8820 - val_mae: 2.5248 - val_mse: 12.8820\n"
]
}
],
@@ -988,16 +992,16 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "x_test / loss : 12.6915\n",
- "x_test / mae : 2.2683\n",
- "x_test / mse : 12.6915\n"
+ "x_test / loss : 12.8820\n",
+ "x_test / mae : 2.5248\n",
+ "x_test / mse : 12.8820\n"
]
}
],
@@ -1019,14 +1023,14 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "min( val_mae ) : 2.2683\n"
+ "min( val_mae ) : 2.5029\n"
]
}
],
@@ -1036,12 +1040,12 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
@@ -1053,7 +1057,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
@@ -1065,7 +1069,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
@@ -1098,7 +1102,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
@@ -1138,16 +1142,16 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "x_test / loss : 12.6915\n",
- "x_test / mae : 2.2683\n",
- "x_test / mse : 12.6915\n"
+ "x_test / loss : 12.8820\n",
+ "x_test / mae : 2.5248\n",
+ "x_test / mse : 12.8820\n"
]
}
],
@@ -1168,7 +1172,7 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
@@ -1182,14 +1186,14 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Prédiction : 10.75 K$ Reality : 10.40 K$\n"
+ "Prediction : 10.39 K$ Reality : 10.40 K$\n"
]
}
],
@@ -1223,7 +1227,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.6"
+ "version": "3.7.7"
}
},
"nbformat": 4,
diff --git a/BHPD/data/BostonHousing.csv b/BHPD/data/BostonHousing.csv
deleted file mode 100755
index 63c67b4fe7497acae14424d259fbeb69d2997985..0000000000000000000000000000000000000000
--- a/BHPD/data/BostonHousing.csv
+++ /dev/null
@@ -1,507 +0,0 @@
-"crim","zn","indus","chas","nox","rm","age","dis","rad","tax","ptratio","b","lstat","medv"
-0.00632,18,2.31,"0",0.538,6.575,65.2,4.09,1,296,15.3,396.9,4.98,24
-0.02731,0,7.07,"0",0.469,6.421,78.9,4.9671,2,242,17.8,396.9,9.14,21.6
-0.02729,0,7.07,"0",0.469,7.185,61.1,4.9671,2,242,17.8,392.83,4.03,34.7
-0.03237,0,2.18,"0",0.458,6.998,45.8,6.0622,3,222,18.7,394.63,2.94,33.4
-0.06905,0,2.18,"0",0.458,7.147,54.2,6.0622,3,222,18.7,396.9,5.33,36.2
-0.02985,0,2.18,"0",0.458,6.43,58.7,6.0622,3,222,18.7,394.12,5.21,28.7
-0.08829,12.5,7.87,"0",0.524,6.012,66.6,5.5605,5,311,15.2,395.6,12.43,22.9
-0.14455,12.5,7.87,"0",0.524,6.172,96.1,5.9505,5,311,15.2,396.9,19.15,27.1
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diff --git a/GAN/01-DCGAN-with-MNIST.ipynb b/GAN/01-DCGAN-with-MNIST.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..f2d1b6bd2b8636ebd8de4d2a8eee5663f2dce2b6
--- /dev/null
+++ b/GAN/01-DCGAN-with-MNIST.ipynb
@@ -0,0 +1,582 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
+ "\n",
+ "# <!-- TITLE --> [DCGAN1] - Deep Convolutional GAN with MNIST dataset\n",
+ "<!-- DESC --> Example of DCGAN with handwritten digit dataset\n",
+ "<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
+ "\n",
+ "## Objectives :\n",
+ " - Generate handwritten digit with a GAN\n",
+ " - Understanding the principle of a GAN \n",
+ " - Implementation with Keras \n",
+ "\n",
+ "Note : Deep Convolutional Generative Adversarial Network (DCGAN) is \"Réseau Adversaire Génératif Convolutionnel Profond\" in french..\n",
+ "\n",
+ "The [MNIST dataset](http://yann.lecun.com/exdb/mnist/) (Modified National Institute of Standards and Technology) is a must for Deep Learning. \n",
+ "It consists of 60,000 small images of handwritten numbers for learning and 10,000 for testing.\n",
+ "\n",
+ "\n",
+ "## What we're going to do :\n",
+ "\n",
+ " - Retrieve data\n",
+ " - Preparing the data\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Step 1 - Init python stuff"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ " margin-right:20px;\n",
+ " margin-top:-20px;\n",
+ " margin-bottom:20px;\n",
+ "}\n",
+ "div.todo{\n",
+ " font-weight: bold;\n",
+ " font-size: 1.1em;\n",
+ " margin-top:40px;\n",
+ "}\n",
+ "div.todo ul{\n",
+ " margin: 0.2em;\n",
+ "}\n",
+ "div.todo li{\n",
+ " margin-left:60px;\n",
+ " margin-top:0;\n",
+ " margin-bottom:0;\n",
+ "}\n",
+ "\n",
+ "\n",
+ "</style>\n",
+ "\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "FIDLE 2020 - Practical Work Module\n",
+ "Version : 0.5.0\n",
+ "Run time : Friday 4 September 2020, 15:36:47\n",
+ "TensorFlow version : 2.0.0\n",
+ "Keras version : 2.2.4-tf\n",
+ "Save figs : True\n",
+ "Path figs : ./figs/01-DCGAN\n"
+ ]
+ }
+ ],
+ "source": [
+ "import tensorflow as tf\n",
+ "from tensorflow import keras\n",
+ "\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import sys,os\n",
+ "\n",
+ "sys.path.append('..')\n",
+ "import fidle.pwk as ooo\n",
+ "\n",
+ "ooo.init()\n",
+ "ooo.set_save_fig(save=True, figs_dir='./figs/01-DCGAN', figs_name='fig_', figs_id=0)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Step 2 - Retrieve data\n",
+ "MNIST is one of the most famous historic dataset. \n",
+ "Include in [Keras datasets](https://www.tensorflow.org/api_docs/python/tf/keras/datasets)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "x_train : (60000, 28, 28)\n",
+ "y_train : (60000,)\n",
+ "x_test : (10000, 28, 28)\n",
+ "y_test : (10000,)\n"
+ ]
+ }
+ ],
+ "source": [
+ "(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()\n",
+ "\n",
+ "print(\"x_train : \",x_train.shape)\n",
+ "print(\"y_train : \",y_train.shape)\n",
+ "print(\"x_test : \",x_test.shape)\n",
+ "print(\"y_test : \",y_test.shape)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Step 3 - Preparing the data\n",
+ "### 3.1 - Load MNIST dataset (real data)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Before normalization : Min=0, max=255\n",
+ "After normalization : Min=0.0, max=1.0\n"
+ ]
+ }
+ ],
+ "source": [
+ "print('Before normalization : Min={}, max={}'.format(x_train.min(),x_train.max()))\n",
+ "\n",
+ "xmax=x_train.max()\n",
+ "x_train = x_train / xmax\n",
+ "x_test = x_test / xmax\n",
+ "\n",
+ "print('After normalization : Min={}, max={}'.format(x_train.min(),x_train.max()))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 3.2 - Have a look"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 4320x385.2 with 2 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 864x291.6 with 36 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ooo.plot_images(x_train, y_train, [27], x_size=5,y_size=5, colorbar=True)\n",
+ "ooo.plot_images(x_train, y_train, range(5,41), columns=12)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 3.3 - Latent / Real / Fake data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_real_batch(x_dataset, batch_size):\n",
+ " '''\n",
+ " Get a real randomized set of data\n",
+ " args:\n",
+ " x_dataset : array of real images\n",
+ " batch_size : size of desired batch set\n",
+ " return:\n",
+ " X : array of batch_size images\n",
+ " y : array of batch_size classe 1 (class 1 mean real)\n",
+ " '''\n",
+ " # ---- Get random indices\n",
+ " ii = np.random.randint(0, x_dataset.shape[0], batch_size)\n",
+ " # ---- Retrieve images\n",
+ " X = x_dataset[ii]\n",
+ " # ---- Class labels (as real : 1)\n",
+ " y = ones((batch_size, 1))\n",
+ " return X, y\n",
+ "\n",
+ "\n",
+ "def get_latent_batch(latent_size, batch_size):\n",
+ " '''\n",
+ " Get a set of latent data\n",
+ " args:\n",
+ " latent_size : Size of the latent space\n",
+ " batch_size : size of desired batch set\n",
+ " return:\n",
+ " x : array of batch_size latent vectors\n",
+ " '''\n",
+ " # ---- Get random points\n",
+ " x = np.random.randn(latent_size * batch_size)\n",
+ " # ---- Reshape it\n",
+ " x = x.reshape(batch_size, latent_size)\n",
+ " return x\n",
+ "\n",
+ "\n",
+ "def get_fake_batch(model_gen, latent_size, batch_size):\n",
+ " '''\n",
+ " Get a set of fake images\n",
+ " args:\n",
+ " model_g : Generator model\n",
+ " lenten_size : Size of the latent space\n",
+ " batch_size : Size of desired batch set\n",
+ " return:\n",
+ " X : array of batch_size fake images\n",
+ " y : array of batch_size classe 1 (class 1 mean real)\n",
+ " '''\n",
+ " # ---- Get latent vectors\n",
+ " x_latent = get_latent_batch(latent_size, batch_size)\n",
+ " # ---- Get prediction\n",
+ " X = model_gen.predict(x_latent)\n",
+ " # ---- Class labels (as real : 1)\n",
+ " y = zeros((batch_size, 1))\n",
+ " return X, y"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Step 4 - Preparing models"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_discriminator_model(lx,ly,lz):\n",
+ " \n",
+ " model = keras.models.Sequential()\n",
+ " model.add( keras.layers.Conv2D(64, (3,3), strides=(2, 2), padding='same', input_shape=(lx,ly,lz)) )\n",
+ " model.add( keras.layers.LeakyReLU(alpha=0.2) )\n",
+ " model.add( keras.layers.Dropout(0.4))\n",
+ " \n",
+ " model.add( keras.layers.Conv2D(64, (3,3), strides=(2, 2), padding='same') )\n",
+ " model.add( keras.layers.LeakyReLU(alpha=0.2) )\n",
+ " model.add( keras.layers.Dropout(0.4) )\n",
+ " \n",
+ " model.add( keras.layers.Flatten() )\n",
+ " model.add( keras.layers.Dense(1, activation='sigmoid') )\n",
+ " \n",
+ " model.compile(loss = 'binary_crossentropy', \n",
+ " optimizer = keras.optimizers.Adam(lr=0.0002, beta_1=0.5), \n",
+ " metrics = ['accuracy'])\n",
+ " return model\n",
+ "\n",
+ "\n",
+ "def get_generator_model(latent_size):\n",
+ " \n",
+ " model = keras.models.Sequential()\n",
+ " \n",
+ " # ---- latent vector => 7x7 images, 128 versions\n",
+ " #\n",
+ " model.add( keras.layers.Dense(7*7*128, input_dim=latent_size) )\n",
+ " model.add( keras.layers.LeakyReLU(alpha=0.2) )\n",
+ " model.add( keras.layers.Reshape((7, 7, 128)) )\n",
+ "\n",
+ " # ---- 7x7 => 14x14, 128 versions\n",
+ " #\n",
+ " model.add( keras.layers.Conv2DTranspose(128, (4,4), strides=(2,2), padding='same') )\n",
+ " model.add( keras.layers.LeakyReLU(alpha=0.2) )\n",
+ " \n",
+ " # ---- 14x14 => 28x28, 128 versions\n",
+ " #\n",
+ " model.add( keras.layers.Conv2DTranspose(128, (4,4), strides=(2,2), padding='same') )\n",
+ " model.add( keras.layers.LeakyReLU(alpha=0.2) )\n",
+ " \n",
+ " # ---- 28x28, 128 versions => 28x28 [0,1]\n",
+ " #\n",
+ " model.add( keras.layers.Conv2D(1, (7,7), padding='same', activation='sigmoid') )\n",
+ " return model\n",
+ "\n",
+ "\n",
+ "def get_gan_model(model_gen, model_disc):\n",
+ " \n",
+ " # ---- This model will be use to only train the generator\n",
+ " # because all generated images are fake\n",
+ " #\n",
+ " model_disc.trainable = False\n",
+ " \n",
+ " # ---- Connect Generator and Discriminator models\n",
+ " #\n",
+ " model = keras.models.Sequential()\n",
+ " model.add(model_gen)\n",
+ " model.add(model_disc)\n",
+ " \n",
+ " # ---- Compile model\n",
+ " #\n",
+ " model.compile(loss = 'binary_crossentropy', \n",
+ " optimizer = keras.optimizers.Adam(lr=0.0002, beta_1=0.5), \n",
+ " metrics = ['accuracy'])\n",
+ "\n",
+ " return model"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Show them"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "<br>**Generator :**"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<IPython.core.display.Image object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "<br>**Discriminator :**"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<IPython.core.display.Image object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/markdown": [
+ "<br>**Gan :**"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Markdown object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<IPython.core.display.Image object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "model_gen = get_generator_model(100)\n",
+ "model_disc = get_discriminator_model(28,28,1)\n",
+ "model_gan = get_gan_model(model_gen, model_disc)\n",
+ "\n",
+ "ooo.subtitle('Generator :')\n",
+ "# model_gen.summary()\n",
+ "img_gen = keras.utils.plot_model( model_gen, to_file='./figs/01-DCGAN/generator.png', show_shapes=True, show_layer_names=True, dpi=72)\n",
+ "display(img_gen)\n",
+ "\n",
+ "ooo.subtitle('Discriminator :')\n",
+ "# model_disc.summary()\n",
+ "img_disc = keras.utils.plot_model( model_disc, to_file='./figs/01-DCGAN/discriminator.png', show_shapes=True, show_layer_names=True, dpi=72)\n",
+ "display(img_disc)\n",
+ "\n",
+ "ooo.subtitle('Gan :')\n",
+ "# model_gan.summary()\n",
+ "img_gan = keras.utils.plot_model( model_gan, to_file='./figs/01-DCGAN/gan.png', show_shapes=True, show_layer_names=True, dpi=72)\n",
+ "display(img_gan)\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Step 5 - Training "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def train_gan(model_gan, latent_size, batch_size=256, n_epochs=100):\n",
+ " '''\n",
+ " Entraine le génerateur à partir des erreurs du discriminateur.\n",
+ " Pour cela, on entraine le modèle gan (generateur->discriminateur) dont le discriminateur est figé.\n",
+ " '''\n",
+ " \n",
+ " # ---- Epoch after epoch...\n",
+ " #\n",
+ " for i in range(n_epochs):\n",
+ " # ---- Get train data\n",
+ " x_gan = get_latent_batch(latent_size, batch_size)\n",
+ " y_gan = ones((batch_size, 1))\n",
+ " # ---- Train and update the generator via the discriminator's errors\n",
+ " model_gan.train_on_batch(x_gan, y_gan)\n",
+ " \n",
+ " \n",
+ "def train(model_gen, model_disc, model_gan, dataset, latent_size, batch_size=256, n_epochs=100):\n",
+ " \n",
+ " batch_per_epoch = int(dataset.shape[0] / batch_size)\n",
+ " half_batch = int(batch_size / 2)\n",
+ " \n",
+ " # ---- Epoch after epoch...\n",
+ " #\n",
+ " for i in range(n_epochs):\n",
+ " \n",
+ " # ---- Batch after batch\n",
+ " #\n",
+ " for j in range(batch_per_epoch):\n",
+ "\n",
+ " # ---- Train discriminator\n",
+ " #\n",
+ " # Prepare real and fake images and concatenate them\n",
+ " #\n",
+ " x_real, y_real = get_real_batch(dataset, half_batch)\n",
+ " x_fake, y_fake = get_fake_batch(model_gen, latent_size, half_batch)\n",
+ " x, y = vstack((x_real, x_fake)), vstack((y_real, y_fake))\n",
+ " #\n",
+ " # Train discriminator\n",
+ " #\n",
+ " loss_disc, _ = model_disc.train_on_batch(x, y)\n",
+ " \n",
+ " # ---- Train generator\n",
+ " #\n",
+ " # Prepare latent batch for the generator (gan model)\n",
+ " #\n",
+ " x = get_latent_batch(latent_size, batch_size)\n",
+ " y = ones((n_batch, 1))\n",
+ " #\n",
+ " # Train it via the discriminator's errors\n",
+ " #\n",
+ " loss_gen = model_gan.train_on_batch(x, y)\n",
+ " \n",
+ " # ---- Show batch loss\n",
+ " #\n",
+ " print('>%d, %d/%d, d=%.3f, g=%.3f' % (i+1, j+1, batch_per_epoch, loss_disc, loss_gen))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# next : p117"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/GTSRB/01-Preparation-of-data.ipynb b/GTSRB/01-Preparation-of-data.ipynb
index 8f4fab9ab38818f23c1af18365c76c2cfb05d941..87f761e6884a92cabdd756a89b579d7b36782180 100644
--- a/GTSRB/01-Preparation-of-data.ipynb
+++ b/GTSRB/01-Preparation-of-data.ipynb
@@ -1212,7 +1212,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.6"
+ "version": "3.7.7"
}
},
"nbformat": 4,
diff --git a/IMDB/01-Embedding-Keras.ipynb b/IMDB/01-Embedding-Keras.ipynb
index 567cf00627ee082bb399e8dadc999d7eed5f7a65..c21943c7f3ef6ddf55a5084cb7a4a7144a5db8ad 100644
--- a/IMDB/01-Embedding-Keras.ipynb
+++ b/IMDB/01-Embedding-Keras.ipynb
@@ -36,7 +36,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 1,
"metadata": {},
"outputs": [
{
@@ -61,6 +61,25 @@
" padding: 0.5em;\n",
" }\n",
"\n",
+ "div.todo:before { content:url(data:image/svg+xml;base64,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);\n",
+ " float:left;\n",
+ " margin-right:20px;\n",
+ " margin-top:-20px;\n",
+ " margin-bottom:20px;\n",
+ "}\n",
+ "div.todo{\n",
+ " font-weight: bold;\n",
+ " font-size: 1.1em;\n",
+ " margin-top:40px;\n",
+ "}\n",
+ "div.todo ul{\n",
+ " margin: 0.2em;\n",
+ "}\n",
+ "div.todo li{\n",
+ " margin-left:60px;\n",
+ " margin-top:0;\n",
+ " margin-bottom:0;\n",
+ "}\n",
"\n",
"\n",
"</style>\n",
@@ -79,11 +98,23 @@
"text": [
"\n",
"FIDLE 2020 - Practical Work Module\n",
- "Version : 0.4.2\n",
- "Run time : Sunday 23 February 2020, 20:06:09\n",
+ "Version : 0.5.2\n",
+ "Run time : Tuesday 8 September 2020, 17:29:19\n",
"TensorFlow version : 2.0.0\n",
- "Keras version : 2.2.4-tf\n"
+ "Keras version : 2.2.4-tf\n",
+ "Current place : Fidle at HOME\n",
+ "Dataset dir : /home/pjluc/datasets\n"
]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "('Fidle at HOME', '/home/pjluc/datasets')"
+ ]
+ },
+ "execution_count": 1,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
@@ -108,15 +139,18 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 2,
"metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Well, we should be at HOME !\n",
- "We are going to use: /home/pjluc/datasets/IMDB\n"
+ "ename": "AttributeError",
+ "evalue": "module 'fidle.pwk' has no attribute 'good_place'",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m<ipython-input-2-713bfab2b623>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m place, dataset_dir = ooo.good_place( { 'GRICAD' : f'{os.getenv(\"SCRATCH_DIR\",\"\")}/PROJECTS/pr-fidle/datasets/IMDB',\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;34m'IDRIS'\u001b[0m \u001b[0;34m:\u001b[0m \u001b[0;34mf'{os.getenv(\"WORK\",\"\")}/datasets/IMDB'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m 'HOME' : f'{os.getenv(\"HOME\",\"\")}/datasets/IMDB'} )\n",
+ "\u001b[0;31mAttributeError\u001b[0m: module 'fidle.pwk' has no attribute 'good_place'"
]
}
],
@@ -161,7 +195,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
@@ -187,7 +221,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
@@ -223,9 +257,18 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 6,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/imdb_word_index.json\n",
+ "1646592/1641221 [==============================] - 0s 0us/step\n"
+ ]
+ }
+ ],
"source": [
"# ---- Retrieve dictionary {word:index}, and encode it in ascii\n",
"#\n",
@@ -817,7 +860,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.6"
+ "version": "3.7.7"
}
},
"nbformat": 4,
diff --git a/MNIST/01-DNN-MNIST.ipynb b/MNIST/01-DNN-MNIST.ipynb
index 5402cf17994570b7e283c84a2a9a92713bc5c1d0..405cf70f0a8382bcf333a3b5f9d701fea5b7b97a 100644
--- a/MNIST/01-DNN-MNIST.ipynb
+++ b/MNIST/01-DNN-MNIST.ipynb
@@ -38,7 +38,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 2,
"metadata": {},
"outputs": [
{
@@ -100,10 +100,12 @@
"text": [
"\n",
"FIDLE 2020 - Practical Work Module\n",
- "Version : 0.5.0\n",
- "Run time : Monday 31 August 2020, 16:09:03\n",
+ "Version : 0.5.2\n",
+ "Run time : Tuesday 8 September 2020, 17:38:13\n",
"TensorFlow version : 2.0.0\n",
- "Keras version : 2.2.4-tf\n"
+ "Keras version : 2.2.4-tf\n",
+ "Current place : Fidle at HOME\n",
+ "Dataset dir : /home/pjluc/datasets\n"
]
}
],
@@ -113,12 +115,12 @@
"\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
- "import sys\n",
+ "import sys,os\n",
"\n",
"sys.path.append('..')\n",
"import fidle.pwk as ooo\n",
"\n",
- "ooo.init()"
+ "place, dataset_dir = ooo.init(places={'SOMEWHERE':'/path to the/datasets'})"
]
},
{
@@ -132,7 +134,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
@@ -164,18 +166,9 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Before normalization : Min=0, max=255\n",
- "After normalization : Min=0.0, max=1.0\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"print('Before normalization : Min={}, max={}'.format(x_train.min(),x_train.max()))\n",
"\n",
@@ -195,32 +188,9 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 4320x385.2 with 2 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- },
- {
- "data": {
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\n",
- "text/plain": [
- "<Figure size 864x291.6 with 36 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"ooo.plot_images(x_train, y_train, [27], x_size=5,y_size=5, colorbar=True)\n",
"ooo.plot_images(x_train, y_train, range(5,41), columns=12)"
@@ -240,7 +210,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -269,49 +239,9 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Train on 60000 samples, validate on 10000 samples\n",
- "Epoch 1/16\n",
- "60000/60000 [==============================] - 1s 21us/sample - loss: 0.6043 - accuracy: 0.8359 - val_loss: 0.2523 - val_accuracy: 0.9300\n",
- "Epoch 2/16\n",
- "60000/60000 [==============================] - 1s 9us/sample - loss: 0.2127 - accuracy: 0.9383 - val_loss: 0.1733 - val_accuracy: 0.9509\n",
- "Epoch 3/16\n",
- "60000/60000 [==============================] - 1s 9us/sample - loss: 0.1549 - accuracy: 0.9551 - val_loss: 0.1384 - val_accuracy: 0.9590\n",
- "Epoch 4/16\n",
- "60000/60000 [==============================] - 1s 9us/sample - loss: 0.1254 - accuracy: 0.9640 - val_loss: 0.1201 - val_accuracy: 0.9637\n",
- "Epoch 5/16\n",
- "60000/60000 [==============================] - 1s 9us/sample - loss: 0.1040 - accuracy: 0.9701 - val_loss: 0.1068 - val_accuracy: 0.9687\n",
- "Epoch 6/16\n",
- "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0897 - accuracy: 0.9741 - val_loss: 0.1035 - val_accuracy: 0.9700\n",
- "Epoch 7/16\n",
- "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0771 - accuracy: 0.9780 - val_loss: 0.0971 - val_accuracy: 0.9710\n",
- "Epoch 8/16\n",
- "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0672 - accuracy: 0.9806 - val_loss: 0.0917 - val_accuracy: 0.9726\n",
- "Epoch 9/16\n",
- "60000/60000 [==============================] - 1s 10us/sample - loss: 0.0608 - accuracy: 0.9824 - val_loss: 0.0957 - val_accuracy: 0.9714\n",
- "Epoch 10/16\n",
- "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0549 - accuracy: 0.9840 - val_loss: 0.0860 - val_accuracy: 0.9748\n",
- "Epoch 11/16\n",
- "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0473 - accuracy: 0.9861 - val_loss: 0.0941 - val_accuracy: 0.9729\n",
- "Epoch 12/16\n",
- "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0425 - accuracy: 0.9876 - val_loss: 0.0811 - val_accuracy: 0.9755\n",
- "Epoch 13/16\n",
- "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0375 - accuracy: 0.9894 - val_loss: 0.0818 - val_accuracy: 0.9754\n",
- "Epoch 14/16\n",
- "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0335 - accuracy: 0.9904 - val_loss: 0.0859 - val_accuracy: 0.9736\n",
- "Epoch 15/16\n",
- "60000/60000 [==============================] - 1s 10us/sample - loss: 0.0299 - accuracy: 0.9915 - val_loss: 0.0809 - val_accuracy: 0.9761\n",
- "Epoch 16/16\n",
- "60000/60000 [==============================] - 1s 9us/sample - loss: 0.0266 - accuracy: 0.9928 - val_loss: 0.0789 - val_accuracy: 0.9765\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"batch_size = 512\n",
"epochs = 16\n",
@@ -333,18 +263,9 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Test loss : 0.07893083969981526\n",
- "Test accuracy : 0.9765\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"score = model.evaluate(x_test, y_test, verbose=0)\n",
"\n",
@@ -361,34 +282,9 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- },
- {
- "data": {
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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"ooo.plot_history(history, figsize=(6,4))"
]
@@ -402,20 +298,9 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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OAZCdnc3+/fs5cOAAOTk5gDMf/2Gfp1Kp0Ol0zM7OUl1dzccff0xNTQ16vZ7vf//7PPfcc4SGhgKLvxcp15jdbpfG3OHDh6mvr6elpQWLxUJvb6/0Wik1UJcCHtZWlUrF8PAwV69elYbrfIbqfMZAdHS0dILY7Xb8/f0ZHx9nbGyMlJQUtztHXD2Is7OzTE1NYTab6erqoqKigvr6erq7uzEajWRmZrJp06YHKHUC7rIblN/b29tLRUUFtbW1mEwmqee6ceNGXn/9dVJSUtDpdPj7+xMcHIyvr6+UM9PpdNTW1rJs2TKOHj0qFYlGRkY4efIk0dHRPP/885Lq4U6HiMViwWQyERISQnZ2NnFxcVK67XHOjoVq91OxIARHR4Q+Tpw4wa9+9Svu3r0LgJ+fHz4+PoSHh3Pt2jWpbSrIyyqVCqvVKheWq9yC+J0ItajVaiIiIoiPjyc0NHTRBtWVtrBs2TI2btzI1NQUk5OTbN26lT179hAdHQ1AX18fYWFh6HQ6RkZGOHz4MEePHmVwcBBwLOiAgACCgoKckkOWkkHvCrGxjo2NUVlZydjYGBs3bqSkpMQpg9aTjFeTySQ9F4GBgZw9e5Z33nmHkZERpwQzJR9UeGYvXLhAfX09fn5+JCUl8dJLL7Fx40b5fk/U7hPyZYODg0RHRztdtB6mFarsQ1BQEOHh4dhsNgYGBpyMV0+HMou2ra2N06dP09HRIV8PCgpi27ZtrF69Wv7OnRQeQa+ZnJykoqKCzz77jL6+PoKCgti1axf79++XhqtQQHmU59uVknTmzBk+//xzdDod+/fv5wc/+AFFRUXy9cWeu0o6w/T0NKdOneJXv/rVA17IsbExrly5Qnp6OoGBgdLz76kQXFOtVotGo2F6epq+vj40Gg2hoaEEBwfj4+PD9PS05ESCg5JkNptRq9VERkai1+vx9/cnJCSE4OBgAgMDCQsLIyEhgZiYGPR6vYz0mc1mjEYj2dnZTl75xZjPgpus3C/BEYYWlKXe3l6MRiNdXV1UVVVRX18vz8bU1FQaGxtJT0+XXsyoqCiCgoKk3SCeKyyeMStslNnZWfr6+ujr63PKdUlPT2fHjh288sorBAcHP9LoLC0txdfXV+a/jIyMYLVauXjxInFxcRQWFjpdShcDwigVc6SxsVHacYWFheTn58u5NF/fxDwXNuF8FA+lDNw3kbt7asYrIAf19u3bXLx4UW5Eglze1dVFdXW1TGaKjY2VIQ1hvM73MJS/s9vt+Pr6kp+fz/PPP09JSQlhYWFPoxuPDdGmxMRE9u3bx6ZNmwCHaK/wWIDjIBTeRqPRSHNzMz09PdJQFWLGrqoMnhh2/ioIPpJarZbhr9HRUbRaLQUFBWRlZUlvjzs9WfNBuTEMDg5y5swZamtrAQgNDXV6Xcz12dlZ+vv7GRkZkX2OjIxkdnaW6OhosrKyPCp8Lkr7Cdmva9euoVar2bZtGytXrpTve1gSjHJOGo1G+vr66OjoICIiAqPRuGj9+KZQhssbGxs5evQojY2N8vWgoCAKCwtJTk6Wv3NnYqFYM8osc4CAgACpigAOJYLHKa6gvCTX1NRw8uRJurq6yMnJYcOGDaSlpQGewb1vbW3l888/l4arXq+X3tbBwUE+/PBD/Pz82Lt3rzRePVmyTjzL6elpTp48yd27d0lKSmL9+vVSJcLf359ly5Zx//59QkJC0Ol0TE9Pk5KSwvLly4mJiSE2NpbU1FQyMjKIjo5Gq9Xi6+srKze6eqKVxuNiOQ5EO8SeMTc3R3d3N9evX+f06dNcv36dtrY2jEajVCZStrm9vV1yePV6PTExMURGRpKSksKePXvYu3evDGcrk6cWA0onk7LNycnJ7Nmzh82bNztRWOY7z8U8Xblypcw5OHnyJA0NDYyOjlJbW0tDQwMJCQkEBga6ZR2OjY1x9epV6uvr0Wg05OXlSeqfcCS6tksoMIizb76z5Gkl8z+VWay0nn18fFi+fDm7du1ifHyc8PBwAgICmJmZoaenR0p+iNuGMBKeBCqVivb2djQaDeHh4axevdqJb7iYm1dISMgDt36LxYJWqyUgIABw3EJv3rxJU1MT09PT8jCMiooiISFBer6UXoelBmWiTmdnJ+fOnaOjo4Pk5GQKCwtlBQ5PysYXHn4hxNzW1sa//Mu/UFlZKd9jMplkKFZECASExqJAX18f7777LgMDA/zbf/tvJel+ZmbGbSVyld64mZkZTpw4wT/90z9RV1dHYWEhBw4ckMbro8ZGaRT09PRQXV3NxMQEy5Yt81hjYT4o11ZTUxNVVVVOWswhISEUFRURGRnp5C1b7DWp9BDPzc3R1tbG/fv3MZlM6PV69u3bJ8dNVNr6quIf4pI8OTnJ3bt3effddzlz5gzg8Kqkp6fLPWsxxcbhywNe7CH9/f1cvHhR0nJEWW2R5GS327l7967sy4YNGygoKCA2NpbAwECP2kfFmPn4+DA0NMS7777L73//e6anp9mzZw/FxcXSCMrOzubtt99m27ZtREZGSvWAuLg4cnNzCQkJISAggIiIiCf2Ni+0U0QYNErDZXp6mvr6eioqKqiqquLevXvS66pEeHg4GRkZWCwW6uvrMRqNcg5OTU3R3NxMf38/bW1tBAcHk5OTQ3Fx8aJfLJWc16CgILlfqtVqduzYwd69e6WOq4gSi34I20RZEESj0VBaWopKpaK/v5+GhgbAMf8rKirIzs4mOzsb+DLCvVBjqKQcTU5OcvbsWbn+hPylkn6ihNVqxWq14ufn5/Sa2WxmcnJSvq7VaomMjHwqJYyfuvGq0Wh48cUXSU1NpaOjg+DgYOLj45mcnKS5uZne3l66urqoq6ujoaEBs9lMfHw8vr6+9Pf3Mz4+Li13kRgTGhpKaGgoU1NTNDU1Ybfb6e3tpaGhgZ6eHukhWCzuk9JDqvxOEVIQlU5EGOjkyZP86U9/klxXu91OdHQ069evZ8WKFZLvqvQKLSW4blpNTU0cP36ckZER8vPzSUlJke/1hEQQAUFFEcbXsWPHeOedd+jv75eEfJG8JQ5+X19fAgICCAsLIywsTHrFbDYbZrOZgYEB3n33XTZu3CiNV3CfN13wO+12OzU1NXzwwQecP38evV7P7t272bhxo/SSPMx4FeMr5mZPT48TJUg5Zz3FYHgYhNpCW1sbzc3NMuQnEB4eLuer6Lc71CTEM52YmOD+/ftcuHCBu3fvolKpeOWVV3jrrbeIiYmR81cYna5Q7lFinx4fH+fYsWO8++67zM3NkZ2dzfr160lNTZV9FXNmsSDWouj3tWvXOHLkCMPDw8CXiZTCcLVarZhMJm7dusWtW7e4dOkS3/3ud3n99ddlJM4TLsrKPlmtVk6cOMEvf/lL6urqJD9eWUAgISGBffv2yUQZcHhqhXdVCRHihUevO3EuLfTaVF4+BC2iurqaS5cucerUKe7duyfbq9Vq8ff3Jykpifj4eLKysigoKKC7u5t3332X0dFRSkpKGB0d5ebNm9JgN5vN3Lp1i0OHDqHRaCgsLESlUi24YScgvNhms5m2tjZ6enoAWLFiBVu3bqWoqMjJoJ3vPBfPSMxprVZLSUmJ1Hg1Go2MjIxQUVHBxo0bnYzXhaQVCuMSHBJZn3zyCY2NjahUKiIiIuR+CM7RShEN9/X1xWazYTQasdvtDA8P09jYSHd3N1NTU8zNzREYGEhCQgJpaWnExcV9o7ynp2IpuX55VFQUISEhFBYWSoqAzWajsLAQs9mMyWSSmqfj4+NkZmYSFBREfX09fX19+Pv7o9PpmJmZkZtrTEwMx48f57//9//O9PQ0Op2O0NBQp87PR25fSCgPBmU2JTgmmtFo5O7du/zxj3/kxIkTzMzMoFKp0Ov1lJaW8sorrzgZdkvRcIUHq910d3fT0tICOIwbd3kdvwrKcNrAwADt7e0MDQ3JA0ccfkojNi8vj+XLl5Oenk5ERARzc3M0NTVx//597t69K0PoNTU1dHV1kZCQIPu/2CFNZZ3p/v5+jh07xrlz59Bqtbz11lscOHBAesQfFU4U3gaB3t5emWCwVEp0irFUqVRMTExw7949OUcF9Ho9ycnJTgbPYnuVxQElPDSXL1/mww8/5NKlS7IgQWlpKfn5+XKP9Pf3f+gYiLkraCPgiBC0trbKMd2wYQPbtm2Te5GYN+7I5AZHpOLu3btcuXKF8fFxqeQRGhqKr6+vkySUwJ07d4iOjmbLli0yG3q+sOZiQjxHjUaD0Wjko48+kuU1w8LC2LVrFxs2bCAuLk56EFUq1QMe1a+6mIj/V1JCxO9gceawMMLAsZceOXKECxcu0NLSQk9PD21tbXK+paSkEBoaSnFxMa+99hoZGRno9XpSUlKkd3Z2dpa33nqLhoYGmpqaGBkZITIykpCQEJqbm3n33XeJjo6Wkk3CebKQc1bZx+bmZg4dOsStW7fQ6/VkZ2cTHR3tpHf9OFC+LyEhgZycHClhKPotsNDREKVjaXBwkIqKCvr6+ggODqakpISCggInr7pQZxEFRMBB9zh06BBNTU2Mj48zPDzM0NAQMzMz+Pj4oNPpCAwMJC8vj+3bt7Np0yZZjUypiPM4WBBrSchjKT0WouECaWlp5OfnMz09TWxsLACrV6+WskNarRaj0YjFYiEjIwNwePRE2DYyMpLVq1eTlZXlxOdZzMNmvu8SBopWq5VZ3VVVVdLDo1ariY2NZdOmTWzZsoXg4GC5ybrbS/BNIAyf3t5eOjs7ZTjdVRDbU7KClYZkY2Mjx44d4+7du9LAEdmjIuwOjnJ4+/btY+PGjcTExEiOYVdXFx9++CG3b98GHJGCW7du8Zvf/IbXX39d8hLdZQyAQ9T+5MmT9PX1kZOTw969e1mxYgXg4LD6+fk9dO2I+QwOSogwXMFxsLpmAnsilF44q9VKXV0d7e3t8hkFBASwceNGNmzYIDdod2i7Kuel3W6ns7OT27dvS15uamoqeXl50sAJCAiY14CBLys1iQQLo9FIXV0dJ0+e5N69e/j6+vL888/zne98xylK4K4IgfjelpYWJ694UlISZWVlZGZmMjk5ya1bt7h37x4jIyP4+/tjsViko+Czzz4jJCRERvPcCeU43rx5k/fff59Tp04BsGfPHn74wx9SUlLiVM1MjJ2QKxNjKKCUm/KkM0PpXT5//jzvvPMOV65ccdr/Q0NDWbduHStWrCA0NJS8vDyef/55pzUWHR2N3W5Hp9Oxdu1aNmzYQEtLC++99x79/f0sW7aM8fFxxsfHaWpqkut6Mc4VpfHY2dnJtWvXmJyclOVgAwICnGhGXzU2ymRei8VCamoqK1asoL29HZPJxPj4+GNpcD8NuDoo1Gq1TMT19/dnx44dbN++XZZCV85DX19fpqenuX//Pp999hmfffaZE/VuPty6dYvBwUEiIiKcjNcnmc8LsjM/rgEZHBzsRGwWoVhX2O127t+/z507dySVIDMzk5KSEkkgdpe3wLWdygk2OjpKT0+Pk6h0ZGQkJSUlrFq1SvbVUwy6rwNx2Go0GsxmM62trU5GgZIXBJ4TVhbttlgsXLp0iV/+8pfcv39fZgNbrVbsdjtarZagoCDS09N58cUX2bdvH7m5uczNzWEymfD39ycmJob6+nrCw8MZHx+X4UyROSt4UErd0IW8ZAkjRqvVYrPZqKur4+LFi9LojImJkeLu4v0Pg6ALaDQaBgYGOHz4MNevXwcc6zwzM9NpzXrK+LpCuTGbTCZaW1vp7++XvwsMDGT79u3s2LEDf39/+QwX23h19TyIyIU46AIDAx9a1cb1p3KeCaPi2LFjnDlzhvr6evR6Pa+++io7duwAvrzELHaflQkwMzMzdHd3S7qAWq1m165d/PznPyc1NZWenh5u3rzJuXPnOH36NG1tbfKi3NfXx29+8xssFgt//ud/Ls8GJeVlMSCeu4+PDyaTiRs3bvDRRx9RUVEBOMZn5cqVbNiwAY1G84AqiYj8uPILPTGRV/RVrVYzPj7OxYsX+fDDD7l+/bqT4RUTE8PWrVvZt2+fTFAT54ay/0KWaWhoiIGBAVavXs0rr7zC3bt3qaiocPK6u/IrFxriHLNYLAwPD8v+BQUFER8f7yRV9jgeROXrGo2GpKQk0tLS8Pf3l4nAi0nJUn6+soRwbGwsxcXFMjdHnHsCk5OT/PGPf+QXv/gF9+/ff4AamJKSQkxMDL29vZI6aTKZuHnzJtXV1axdu/ah0YVHYcFWtLDklYMoqmQIfpOQUbBarTKpREwQsZGCo27wL37xCz766CPUajXLly9n27ZtpKenL1TzvxbEbWt0dJSqqirOnTvHuXPnpAchODiYDRs2cODAASc5Gk9KLnhSKA9IlcpRrae7uxur1UpSUpKs/CPgKdQIYbDNzc1JbpaYm3q9XkoUlZaWsmPHDnJzc8nKyiIrKwv4kksKDg5TQUEBGzduZHx8XIZ66urq+MMf/oDdbicoKIjk5ORFuagoudMzMzPcuXOH69evMzk5SVRUFPn5+Y9dj1r5Wb29vZw+fZqrV6/i6+tLWVkZmzZtchpfT/EEuUJ5WWhtbaWmpoa+vj6n13NycqQXQLn/LDaUc0SIgAcGBmKz2aQ8m6CnBAUFkZubS0REBBaLxUkXdnJykuHhYQYGBqiurub48ePcunVLSoPFxsZKdQFwHMrKssiLBeX3Ce6cUBXYvHkzr732GqmpqQDExcWxfft2AgIC6O/vp7u7W54dVqtVju3MzAzwoEdpMftjsViorq7m0KFD/OlPf6K7u5ukpCReeOEFtm3bJteVq3D/wwwfTz4jLBYLFRUVfPDBB5w+fVqOX0xMDCUlJZSVlbFu3TonT7OA8t8hISFs2rSJ69ev895773Ht2jVaW1vlfBdjmZSURHJysnxui+EMEDqtDQ0N1NTUSBWl5ORkcnNzSUxMBL7eZUmtVuPn54der3fq02JFklUqlYyMC/3aqakpAHJycpycHYLiMjg4SE1NDVeuXOHTTz91krNLTEwkMzOT5cuXk5OTQ2xsLNPT09TW1nL+/HkuXLjAwMAAPT09TExMfC3u64JZEvO5zR82oPMlRCj/tqGhgVOnTtHX14evry+bNm1i8+bNTrJU7jaKREYpODifv/rVrzh+/LischIQEMD69evZv38/O3fulOE+d8vRfFMoD9rp6Wkp6QOwfv16du3aJUNBSkK/p0AkvOj1eoxGo7z9+/r6UlRUxPe+9z3eeustJ1kWAWVfMjIy2LNnD319fZw6dUomedXX13Pt2jX2798PPJgkthBQHtZGo5HGxkaqqqowGo1s2bKFnTt3SqoOPHrtiLlpNpupq6ujtrZW6hNv2rSJrVu3Sjkxd3gqHxeiXePj49y/f99JSxMciVrK/WSxDR4llJu4iAQIzc7KykomJyc5fvw4Pj4+5Obmsn37dqKjoxkbG5MZvz4+PvT29nL//n0aGhpobW2lra1NKiskJCSwfft2p8jXo7izCwmlR9FqtUrNS51OR1FRkTSwp6enCQgIIDAwkPz8fKKiotBqtXKtqVQqkpOTyc7OdurXYvXJNWt6aGhIykZ2d3ejVqs5cOAAP//5z4mNjX0sXV5PhWuOx+DgIHfv3uXy5cvy8q5Wq4mKiuLll19m//79hISEyKxzsQcKmovNZmNiYoK+vj7S09NpaWnho48+oqur64G9MjIyUhYwEFjIZC3lBX5qaopbt25x/vx5uru7JX0xLy9v3vc/CaxWq5Nk2GJdvAT1QiSY37hxg4sXLzI0NCQLtiipYVarlb6+Pm7evMmhQ4f4/PPPmZqaQq1WExoaSnR0NGvWrOH555+nrKyMqKgo+fejo6PY7Xbu3LnD1NQU4+Pj0kiGJ1urbj9pXEMhImtQGLR1dXXcunVLekmsVithYWHExsbKOt6e4LlUutmnpqaoqqqSmowAy5Yt4/nnn2fr1q1OLnJ3t/ubQhnSEreq5uZmYmJiWLduHfn5+U4Goaf01zUaoJQlslgsFBQU8P3vf5+XX35ZLjwhF6Lk/Ij5GxoaysqVK1m1ahV1dXVO1de0Wq30TgrjdSGh/PypqSm6u7slhWHFihXs2rULnU6H2WyWh//DINbYzZs3uXjxogy1i2QJkeRjNps9kvuqPGRtNhudnZ20t7c7SZwJ75CyMpq7jHClt8XHx4cVK1awdu1aKisrpfeppaWFlpYWgoKCGBwclIb42NiYLK0ppHd6enowm83SMwmOCNDGjRvZt2+fjAa482LpKrN34cIFGV7s6+ujsbHxAb1lnU5HX18fw8PDaLVaub/k5uZSXFwsOcGLnQehdEaMjY05VXDLyMiQpT/B4fAQxuvDEn+V8ETaADjaNTMzw+TkpDwHBS3A398fHx8fBgYGuH//Ps3NzYyNjWGz2fDz85Mlt3t6emhqamJqagqtVktnZydtbW1yzJVzMyEhgZdffvmB6OVCQelJnZ6e5vbt29y8eRNwFBrYvHmzU4ntr9sWV+fIYtEJlXPWbDbT0dEhE+xiYmIeKC/c29vLmTNnOHbsGJcvX5bGZ3R0NDt37mTr1q3k5eWRlpbmFJUDBzU0KSmJ8PBwpqammJ6efkDn/nHhduP1UeGR4eFhTpw4wfHjx2UYqKSkRPJCwHNKqQYGBgJflsYVIQURAsrMzGTdunVS3sZiscgs2qUIV09bb28vN2/e5Nq1a9hsNimHIUIRyo3ZEyButL6+vvLwA8ehWFJSwmuvvca+ffuIioqSN2Lh0VJCyLT4+PgQGRlJeno6cXFxjI6OyvdMT09TUVHBpk2bpAd3sTAyMkJrayvgSO7Jy8uTYyJC0oKnpeyTyWSSvDuj0UhTUxO1tbVyo4qNjXXasD2Vty1oLWKujo6OMjw87DSOa9as4YUXXnhsb/RCQqlW4uPjQ35+Prt376avr48rV65IQffh4WEmJyepr6+nvr7e6e/F3A4MDCQyMpLp6WkpQWiz2fD39ycvL4+NGzcSEBCwKNGAR0HpXZqcnGRgYED24+7du1RVVbFlyxYnZ8X9+/dpbGyUnjxwPLPJyUkmJyedtDUXa266RtIGBgZobGxkampK0iG6u7vp6+uTCT4C81EFxLgopa6EpB14jtKHSqWSVb4iIiLo7OyU+0R/fz+nT5/m3r179PT00NHRwdTUlCyTKvSnRVEbAb1ej06nk+MoaFpxcXG88sorlJWVERwcLJ/RQkYvlfNnZmZGJiSHh4dTVlZGaWmpVFR6mkl0ix0xAMcaGh8fZ3p6GpVKhb+//wMOjqamJj7++GNOnDiB3W5Hr9eTkZHB2rVr2bt3L9u2bZOODJEbIiJIAwMDMnKn1+sJCwtzKjDidrWBbwJlskF1dTUnTpyQXIodO3bwwx/+kC1btsiF727jVSmfMTMzw+9//3t++9vfSk+x3W4nNTWV0tJSyYl5FqAMkdntdrq7u6mvr5cbUGRkpDToxfs8CUoZGSXxPyQkhH/zb/4NBw4cAJBeK6WX1RVK77M4wJTJCtXV1fzhD38gMDCQ9evXo1I5ih0sVMRAuRlNTk5KLcL169c7SbMpS/e5tkN56M/NzTE1NcXExAR2u53AwECnUBC4fx0+DK4GxeDgID09PXJ8dDodBQUFbNiwgbCwMI9R/lCOS3FxMX/9139Nc3OzrGx248YNeXiAIymiqKgIf39/+vr6sNlsbNu2jby8PA4dOsQHH3yA1WolNDSUlJQUkpKS5B4qol3ugvKiEBcXR1lZGW1tbVy9epWOjg66uroYHBwkNDSU27dvU19fz/Xr1+nu7pZ/JzzLN27cIDU1VUr7LPa+Mzs7K72E7e3t3Llzh7GxMdRqNW1tbRw7dkxm3SclJTnRG+bDfIa3J1wUlTQPX19fIiMjKSoqIj8/n9raWhnZaG9vZ2xsDJVKhcViYWZm5gHHh2t1LfiyZLfQ9I2MjGTjxo0cOHCAzZs3yxLs7qh+J/oeGxtLRkaG5MmLogTfZM65w/Oq/B5B35iampIXWuVZYDabqa2t5c6dO/J3BQUFvP7667z22mukpaU9kKCtjCQIBR8/Pz/JFRZ82id9fh5jvCpvmEIi5t69ezQ3N8v3rF69mt27d8sF7wmlAMVN2MfHh/b2dk6dOiWzSnU6HZGRkbz00ku8+OKLMiwpMsGXMpTGqyiV2tnZyczMDJGRkWRkZDiFYRdDQPpJIG71omSvgFardZINmpmZeWT5YSFnIwjsLS0tdHd3y4QFcHgRIiMj3UIX0Wq1hIaGolKpCAoKcjI4H9UG11roQiLLbDZLmTulHqW7jb2HQblxdnV1cePGDaeqWjqdjri4OLmBLpbY+VdBeSEKCAggNzeX3NxcRkdH6e3tZfny5eTl5dHV1UV0dDQrVqwgIyODgIAAent7MZlMbN26lcjISO7fvy8/Nzk5mRdffJHi4mL5O3fzlIWWst1uJy4ujq1bt3L69GnAwdmur6/n17/+NT4+PjICIKg5ot56b28v58+fx2KxcOfOHS5fvkxkZCQxMTGyfwsd+VF6RcFBeRD0B39/f6amprhx4wZzc3PcuHGDjIwMVq1aJcXpzWazjMiFhIQ4Je+YTCasVitBQUFOIXTB9XXX+lM+z/T0dPbu3UtiYiI9PT20tLRw//596dAQ9CphlJrNZqcqVIK6IlQnhAGckJDAtm3beOONN9i5c6eT0bsYlEFXuooow+vn5/e1suQf9h0ajcbJLtBqtYsyrq6e16mpKUlREvNZzLl79+5x+/ZthoaGUKvVbNy4kRdffJFXXnmFzMxMAKdIpUqlcjpLhIKCUE2Jioqatx2PA48yXpUkbpFsICZ+bm4uOTk50nC1Wq1uNVzFRihCsIIu0NXVJd/j5+dHQUEBzz//PGvXrgU8Q9LracB1oo2NjdHR0YHFYiExMfEBT7OnhLiU/KWxsTHOnTsn+UvgWKyDg4Pk5OQAPJIH6Mpvu3v3Lrdv36anp0catAD5+fl8//vfZ/ny5Q9UEloIKJ9zREQE6enpVFZWUltbS21tLatWrXpAVskVygIHnZ2dkmAPDo5oYmKik2fd3ZfIh0HsJ1arlYaGBq5fvy4NCnAYFcrN1Z2JWvPBdXzCwsIIDQ0lOzubV155RR76Yn0JfrlQzejv73cqxVlWVsb+/fvJycmRxpa7jVfAKfybkJDgtHecP3+e06dPy7ERpTdTUlL4/ve/zwsvvCC1JcfGxhgeHubcuXOkp6dLr9hCVyeaD65rwtfXl6mpKS5dusS5c+cIDQ1l06ZNbN++nbi4OCYmJhgbGyM4OJi0tDRiYmIIDQ2VEoQzMzOkpKSQlZUljRxXys9iQzl3goKC2LNnD3v37mV0dJRz585x+PBh6urqsNlshISEEBUVRXBwMHa7nYmJCXp7e2lpaaGrq0smbonLDHzJb/3Od77D2rVrnaSoFmveKsdxfHycmZkZbDab/O9pQORTKC8/NpvNLWWahfEJX9KX/P39GRwc5MyZM9y+fRu73U5KSgrbtm3ju9/9rqRciXNDeW4qzxJlFE9wvb8u3L9rfQGRCCMWZX9/P9XV1fT395OcnMyePXtYsWLFAxwgd7YXvvQ43bp1i6NHjzrJ72g0GpYtW+YkM+Fph+PXhdLrPTs7S1dXl6xYVFhYyPr162X51IU21p4ESuN1YmKC69evU1lZKcdldnZW8qvh4V4ps9nM7Oys5F43Njby2WefcePGDckDEt5XrVbrJMS8mAoT/v7+hISEoFaraW1t5dChQ2i1WtatWyc5Y+LA0Gg0mEwmxsbG6O/vl0VC7t696xQBEZu2O0JcTwqlbJEIhwn4+fmRlJTk5Fn3RCNcjBEgL76PojaIPdRisXD8+HGuXbuGSqXi+eef55VXXpFyb55wmRRQPveAgAB27dpFZ2cnR44ccRoz8XpZWRkvv/wy3/3ud4mKiqKmpoaMjAzu3LlDX18ft2/fZvPmzWzfvt3pIrmQcDWoUlNTyc7Opr6+XiYiBQcHS/H3sbExrl+/Tn9/P/7+/hiNRoxGI3q9nvDwcBkpsVqtjIyMMDc3R0JCAsnJyaSmprJx40ZSU1Nl9Guxk9OUUOq9guPS/Nxzz5GUlCQ1e3U6nUziCg4Opr+/n5MnTzIyMiL1W8X+6OvrS0lJCS+++CI7d+6kqKhISlXNzs4uauRSOKhGRka4efOmzCH4pnxqZeIvOCJDra2tMv9ienpaekDF9y00hAGt5IxrNBp0Oh2jo6NUVlbS09MjOas6nU7mPkxOTmK1Wp0irqIfgjtrNBq5desWNTU1LF++/LEjgfPBMywKnMN7k5OTNDU1UVNTAziqce3atUtmF3pCzWrlhtjf38+VK1e4dOmSk8JAfHw8+fn5Trymr2PEuSY7KUP27jqAlBtVc3Mz9+7dY2pqisDAQAoKCqS8zWJk1z8JlG2xWCwyY9k1NKR8j1KOB5CLeWxsjJ6eHlkO8cyZM4yNjcnqcmazmdDQUOLj45mYmGDZsmWL4oFWfr4w0DIzM6mrq+PTTz+ltbWV559/nvT0dEwmEzMzM+j1eimV0t3dTVdXF2NjY4yPjzM5OSkTEMEx9iEhIU7PyZMMIXhQtshoNDI5Oem0b8TGxjoVOgHPiRAooVRfERCHjNgXlNXDxLjcuXOHw4cPU1VVRVhYGFu3bqW4uFjyzsSFxROgFOhXq9Vs374dHx8fjEYj586dk3ugVqulrKyMt956i1deeUXqFSckJLBjxw4mJiZoaGigp6dHRhpycnIW5bxwNV7z8/N5++23+fTTT6mqqsJkMjkVrAHH2aEslvFVEBz9zMxMTCYTP/zhD7+xB+tpQFmARRjSwcHBrFmz5qF/ExgYyLFjx6QxL85UUT79+9//Prt375ahZXHpX6yzX5nsabfb6ejooLq6WkYyvullQXmmm81mqqurnZK94+PjFz265ePjI0saWywWeTGyWq0EBgaSkpJCZGQkbW1tdHZ20tDQQEtLC5mZmQQFBTnNQ/H8goODZdsvX77M2bNnsVgspKeny1LO4ruXlFSWgJiQU1NTUsRWUAby8vJkiU2lp8hdUHodR0ZGOH/+PFevXpUJBDqdjtjYWF544QX27dsnBbbh63EDlYcUfHkwu+Pgcf3u/v5+Lly4IHl1GRkZxMfHy/crs589Ea6bvuttenZ2FovFglqtxmg0YrfbpR7o4OAgH3zwARcuXKCurk563UVpx8LCQnbu3Mnu3bvl7XQxvCPKeRESEsKOHTswGo2oVCoqKyuprKyktbVVliZWeqPn5uYwm83yP/EslJtocnIyGzZsIDIy0u0en0dBGRLv6emhqqrKKaM5OTmZsrIyp/XpKcbcoyC8U8psdBFy12g0zM7O0trayqlTpzh//jzg8MCLaneLmYH/pBAGilarZe3atfz4xz8mJSWFuro6RkZGSEpK4sCBA+zevVsarrOzsxQXF+Pj48PIyAgDAwNMTExw9epVEhIS8Pf3l4mKC+n4cOWeJicn8/bbb7Nu3To+++wz3nvvPenc+Lre4Lm5Oale8tlnnxEdHe2kee5uRReRIPlVbRgZGeHIkSOcPn1aUu2E4bp161a+853v8NxzzzkZrs8alMZad3c3VVVVVFRUYLfbyc3NZe/evU5atovB7xUFTpTfabVamZycJC4ujh/84Aeykt3U1BQ1NTWcO3eOkJAQli1b5pRwL6QYxZo4c+YM//iP/0hfXx/Z2dns3LnTKYH4Sfdej9iplQL/VVVV/Mu//AunT59GrVZTVlbG2rVrZWhPWdnIXVB6N+rr6/nggw9kXXtw8NJeeOEFXnnlFTIyMgBkCFmj0TxUEkLpYRU/xS3oYXAtxbYYcJWDaWhoYGBgQBLytVqtE7fX0zxZAqI4gdA8hQe92UFBQfL5K71f9fX1HDt2jOPHj3Pp0iX5+5CQEKanp5meniY2NlbKuoDzTX6h+wWO+aTT6VixYgU6nY6oqCiuX79OY2OjpAWIZ2Cz2bBYLAQHB1NQUEBcXJzkifb09DgloInqNuDwGLgmGngCXPmctbW1nDp1yonvmpyczOrVq4mIiFgUyZ2nBRH1eNi+MD09TV1dHXfv3nXS5Q0PD5cVtDzxsgHOl/vg4GAZeq6oqGBoaIjk5GQnY21iYoLg4GB8fHwoKipi3bp13L9/nytXrnDz5k0iIyMpKyuTh6SQh1sMCKM5JSWF6Oho/P39aW5uxs/PTyZz+fr6Mjc3x+DgIOPj406OEYvF8oCBq9frJaf57t27nD17lvT0dPk8lJq57oCrZ1QUJBCXBq1WS29vLwcPHuS3v/0tt27dApByhf7+/uzatYt9+/bh7+/vRLNy9zmi1Wrx9/d/6PN9nL1d8HqV4zo8PMyNGzdobm52yuDfs2cPmZmZC743Kds8OTnJzMyMk3SkSKALDw8nKyuLN998k56eHs6cOcOdO3dkJbl169axcuVK0tPT8fHxkUmIc3NzVFZW8otf/IILFy6g0+l46aWX2Lp1K2FhYV+7fx5hvAouS0dHB6dOneLYsWNMT0+TlJTEiy++yIYNG5wOR3ceMGLyCeO1o6PDyUsMjtJob7zxBmvXrpUud61W68RxeVzj9avgjgXtGnqfmpqSRozQ7vPUw1EJ4SV41AVgvudbU1PD3/7t33Lr1i0mJyed+K3CCA4JCSExMdEp8UR56VkMiLb7+vpSWFhIeno6O3bsoLGxkd7eXumN1el0sqZ4VFQUpaWl5OXlMTo6yocffsif/vQnqqqqZJljT/XaPQyi0pnwaoiQZlRUlIwSLDYX+WlDmRQhqqoJDnpISAgrV66UWe3geCaeduGYD0FBQaxYsYLc3FwpQ6XkybmqYuTk5LB8+XIqKyuZmpqitbVVFugA99FbcnJy+Hf/7t9Jrdrq6mo6OjrQ6XS0tbXx+eefc+fOHaanp/Hx8ZHRNlcoaQfT09MMDAw48SI9zUMpPP1irg0NDXH27Fk++eQT7ty5AzgMcrEHp6enU1hYKHMJRMliT4CSqvMwPM78Eue/oK3dunWLEydO0NDQADjWqxD5F9+7kMar8qweHh6WHGUBlUrlNAbbt28nIiKCv//7v+fDDz/kzp071NbWcvPmTQwGg5PDrq6ujqtXr/LZZ59x8eJFdDodO3fuZMuWLd9YOtStxqvgEwqu3aeffsqhQ4ekIZiSksKaNWtkWM9sNnuEsL9y8prNZnmoCwQGBspyccqb6Ncx6IaHh2loaMBsNksv4MzMDD4+PqSmpjpJTSwGXD1aY2NjNDQ0MDo6SnR0NPn5+aSkpMg+e5qX52GyIErdQuV4Xrlyhfv37zMyMkJwcDBarZYrV65w+PBhhoeHCQkJwdfXVxql4m9ffPFFvv/978tELXclrSlVPITkUnp6OjMzM/LAEKFmIWAvKAJhYWGsXLmSW7duyY0VHHNyYGCAZcuWeexFRckTbW5udqrWo9PpSExMJD4+3qN5u08Cpcdtbm6OhoYG6urq0Ol0rF+/nh07dsjDEDwzMc0VSoqS69oRnjzRZ4vFgkajkcUXrl+/LjVWa2pqKC4uJiEhYdG9ksLzqNVqnRJZysrKmJ6eRqfTUV1dTWdnpxTwt9ls6PV6UlNTycnJYdmyZQwMDFBbW0tLS4vkIi7mRfjrQjnPzGYzFy5c4F/+5V+4evWqVMQQF/+MjAz27dtHdna2/BtPukxqNBonpSBXaTSj0SgvWK4OEWWSpdIeuHXrFkeOHOHixYu0tbUREBDAiy++yMaNG6UBr1RfWAgoP9vX11dekFQqFaOjowwODsq5JtbdqlWrMBgMxMbGUlNTg8ViYeXKlaxYsQK1Wk1PTw8XL17k4sWLnD59mrq6OvR6PS+++CJvv/0269evl2v662r1eoTnFeDu3bt8+umnUiM1Ozub0tJSJ06EpxwuynYIvTer1So9puPj49y+fZt169bJDDy9Xi+9O4A0EpSadTMzM7JcmsgyvXLlCqdPn2Z0dJSwsDA0Gg1DQ0NoNBpeeOEFXn/99UXtu/BWCnR1dXH37l3AEebLy8uTJGx386/mg7I9Pj4+BAUFodVqZSjHbDZz8+ZNEhMTGRsb4/e//z0HDx6UpV5dIcj1Su9BUFAQ+/btk3QBkcjmjo1Y6eEXG4RIKJsPglMu5qWg9CgPIZPJxPj4uExA8zSIeadSqZienpZGgUBQUBBr1qyhoKDAKeHJ07xWTwLl5j86OkpTU5OskrZq1SrWr1/vVAVoKXB7lWvVNQFvvnknkkPWrVvHjh076Onpob+/n8OHDxMTE8PevXulNrFyji8klMayazKL4OwmJSWxcuVKqquraWtrAxznQ3p6Ort376a4uJjKykpMJhM9PT2STmC1Wp3OFE+FiDi2tbVx5swZTpw4Ic9EgeDgYF599VX2799PfHy8E23OXVDumyqViqioKJKTk4mKiqK3t/cBjrOfn5+ThNl8UFIkBZXp5MmTkvdbUlLCgQMHKCkpcSqMs1j7bHx8PIWFhTIxrampiYqKCmpraykpKcHHx4eZmRn8/f1Zs2YNhYWFUkYxPT2diIgIKisrOXLkCB9//DE3b97EbrcTGRnJli1bOHDgADt37pQOkm+i1euWHUwIgQvphFOnTvHBBx9IdQG9Xs/69evZs2ePk8yUOyfyw6DMuhcGTFtbG3/zN3/DsmXLJM1AZPgajUY0Gg1ZWVkUFBQQHh6Oj48PU1NT3L9/n7q6OmZnZ6WMUVdXF52dnYyPj0stuOHhYTQaDWNjY/J2tlhQZtSOjo7S1tYmDTuRqOTJm6krp27NmjW0tbXR0NCAyWTCbDZz8OBBrly5gt1up76+/qGGq/JZKDmhq1atckoC8gQDXkmPcCXlu75P3LyVY6l8bkFBQVLXT8xtT/LkKS9N4lKo9ITExMTw3HPPUVJSIrNpPaGq1jeBOBAnJye5ffu2TB6dm5sjNjZWhujGx8elzM1SgTJc+zCur2uVrp07d9LY2MhHH33EpUuXiIqKoqSkxKkU5WJCGJsiwdF1H8rLy5NRGnB48e7du0dQUBBjY2NUV1dTXV0tzw+hAeppa+9hGBkZkVQWZTlfq9VKUlISr7/+Om+++abcNz2BwqOMxmm1WiIiIigsLCQpKYl79+49oMP6VTQcq9VKZWUl9fX1DA0N0dDQwJkzZ6ThKiqIbtiwQWbuL8ZzUNpV0dHRvPXWWxiNRn73u98xNDTE9evX0ev1dHR0sHr1anQ6HUajkYiICHQ6HRqNhr6+PpkfUVdXR01NjSxbnZKSwv79+3nxxRcpKiqShqtYz18XbjFexYEnQo4nT57kD3/4A+DYhJcvX87WrVspLS2VZf8WI9Pu60DZJsH7HBkZ4ezZs4/8u5iYGAoKCvDz88NmszE5OenEK5wPWq0WPz8//P39mZ2dZWhoyEl/c6EhJptarcZkMnH//n2nBJiAgACp5ybe72kJW8pDLjQ0lO3bt9PY2CgvTlarlbq6Ourq6uT79Hq9nKvC2BHVYYRR5OfnJysdPffcc07Vp5S8PHfhcQ85ocMIjmclJMKUm3RYWJjcgNyRMPhVUHq4rFYro6OjTheQhIQEioqKpOdrMZN4njaEI0Bcji9dusTnn38ulS9iY2NlMg849DeXGh5n7govleDyrly5ki1btnDp0iUGBwe5ffs2V69eJS4uTiZ4LSZUqgerKoqws1arJS0tjcTERGmYmkwmOjo66Ovr4/r164yMjDjJ1YFDR3b16tVSyQQ8Sy1DGbUxmUxcunSJ2tpaeekXRuyGDRv48Y9/7KQo5EnrUckPj4mJkcaeoKRkZ2cTGhoq6XzKKI6gzU1OTlJfX8/58+e5desWnZ2dTE9PSz52WFiYrFQVEBCwqBdqZYKgVqtl1apVGI1GxsbGOHLkCPX19VIOc+vWrWRkZMik7MHBQerr62lsbKShocFJ9i0mJoaioiJ27NjBzp07KSgocNKG/6ZJeG6Z6crNaHx8nKGhIfladnY2b775JmVlZXKSeNJEdr01R0ZGkpubKzk8rjp+D8PY2Bi3bt2ShtBX/V1wcDDFxcWkpqbi6+uLzWYjISGBvLw8GWpaaCi5rhMTE9y7d4+mpib5uiDbK0NznpYUIuadSLrLy8sjJycHvV7P1NSU5CyJjVW8F77kLwsj3t/fX3JZy8rKePPNN1m9ejWBgYFO2r6e6BmZj2MkaC/zlV1WGq+uf+tJlxNwlkOamJjg/v37MnkJeECjdilDWQREZPWKBNKQkBCWL19OZGSkfL/Yo+bjkT5LCAsLY/369bz66qt8+OGH9PX18fHHHxMVFcVzzz2Hn5/fonm2HgZlyD88PJzCwkJWrFhBZWWl3H8sFgttbW0PeIpTUlLYu3cvBw4cICEhQa5JTzorldWnent7OXbsGG1tbU7nf35+PuvXryc9PR34MtrjiXsmOC664qzu7+/n448/prq6mrCwMLkPin1UrEuVSsXQ0BCNjY20tbUxNTXlxFvW6/Vs2LCBgoICWW7WHfNSq9VKh9OGDRvw9/dHrVbzhz/8AZvNxvXr12loaJD758zMDBMTE1JSURl9jImJ4c033+S1116joKCAoKAgJxWcp3FmLOruJTYLIQ/S3NzMJ598Ir1eISEhbN++nZdeeonU1FS5YD1tIivd7Hl5efzkJz9h2bJlVFZWYrfbnbyP4PDI9vf3OykSmEwmOdgxMTGyXnJgYCDR0dHExcUREBAgKzklJiaSl5dHXFycVC4Q7z1y5Mii9Fu5gY6MjMgEAnCEG7Kzs50yCD2ZPiAQEhLCqlWreOmll2R5SaHFqNfr0Wq1ku7h2p/Y2FhWrFhBTk4O27ZtY9euXR5JbZkPD9s8XMnzWq2WoKAgJ51XZXazJ0I5TuPj41IaTKVSERgY+ICou6cZ318X4gAR0ZuIiAhyc3OJi4vDZDJRXV3NzZs30Wg0lJaWsnz5cuDL0qmets8+KVw5kvn5+ezZs4fGxkbOnTvH8ePHKSoqYv369fj5+UnD310Gn2vyzrp16xgYGMBms1FRUSGNG3FOqFQqwsLCKCws5Pnnn+e1116T+QUPk190B4RxEhgYiMVioa6ujnfeeYeqqir5HrPZTHx8PPv373faNz1BEssVykuer68v+fn5VFRU0N3dzc2bN6VBp9TKFj9FgRvX818gPz9flggWnmfX71xMiJwHnU7HypUr+Vf/6l+h0+moqalhfHycwcFBWWEMvozC2e12YmJiiI2NJSsri8LCQjZv3szq1avley0Wy1OVz1z0JyQOjampKY4cOcLf/u3f0tnZSVRUFHv37uWVV16RWbFfV8h5oSHCAna7ndjYWL7//e8TGxvL+fPnmZ2dJSAgwKmy1OjoKPfu3ePatWtSSgmQOrYlJSWyPGBgYCCFhYWsWrVKJsQos25dB30xF7qr8Xr//n26u7vRaDQUFxdTWFjotOg82bOjPLCKi4v56U9/yv3797l27RonT55kYGAAk8mESqWSYXNh9AiPQk5ODm+99RY7d+6UoTtPTFJ7ErgK2JtMJiYmJpxK5ippEJ7eV9H+6elpAJms9LBEmqUOJZ95dnZW8iUrKio4cuQIt2/fJjMzk9jYWGm8erKn6+tA0NL8/PwoKiqiuLiYc+fOYbVaZWZ/ZGTk185yftoQhmd6ejqvvfaa1HsVWswi/J6QkMCKFSvYu3cvu3fvltEdT6g4qYQIP6tUKnp6evibv/kbSQsMCAhgenoatVpNSUkJr732GpmZmcCXakKeNheV51hERAS7d+/Gbrdz8uRJ6uvrGR0dlRdGQd9x3RddHR8qlYrMzEx27NjBG2+8wbp165ze565noIwuqlQqtm3bRlpaGleuXKGrq4uRkRFOnDhBTU0NJSUlbNq0CavVSn9/P4GBgZSUlFBWVkZ8fPwDUdenHYVdNOtCbJBClufevXtcv35d1jQOCQlhzZo15Ofny8ni6QejgEqloqysjMTERCfPsuADiizR9vZ2ZmZmZIgvICCAtLQ0kpKS8PX1ldnBrjw1T4GrRJjg64gEic2bNxMYGOhxpSfng3JuRUREsHbtWvLz8yksLCQlJYUrV67Q0tLixOnNy8sjLy8PjUaD3W5nxYoVlJSUSMN1bm4Ok8mETqfzqMPkSeCqKdjW1iafBcDq1audPASPSv5yF5RjK+rJCy5hQEAAkZGRz4xElhJ2u11Kv4EjeevMmTNcuXJFcrRTU1NZv369k4rLUp2rD4NSLD46OprvfOc7Ujnk1q1bnD59mtjYWJkg5Uley5SUFP7sz/6MzMxMbt68KcuFrl69mq1bt5KVlUVmZqY0XAW9wJPGULkftLe3OxXwEZfgNWvW8Nprr5GVlTXv33kSlO3S6/UUFRWxbNky8vLyePfddzl79qyTtxXmvxAL2bOIiAhWrFhBYWEhycnJTtJgnjAH4Us6kq+vLykpKQQHBzMxMYHVamXz5s309fWRnJxMamoqNpuN0dFRNBoNiYmJTvKdQipOKTH2tLBo1oVILABoaWnh2LFjsqQoIMMMgvPxNAi9CwllLWe73U5AQIDUdn0aENwfsQgET8idnlfld4WHh7NmzRqpDLF9+3ZJGbBYLB61mX4VVCoVfn5++Pn5sWzZMtLT0ykpKeHy5ctcuHCB7u5uUlNT2bVrFxs3biQ0NBSLxYKfnx8RERGyDJ4y2WmpQiSRCM9kU1MT9+7dA2D37t28+OKLTqEgT7ygKOfesmXLKC0tpampifr6eoKCgqQ+rYCn7jFPChFWjo6Opquri+npacbGxrDb7SxbtowNGzawf/9+tm3b5nTh8lSj4etC9MdoNOLn58eaNWuwWq1cu3aN2tpajh8/TklJiTRev4lcz9Nsr2hHVlYWWVlZ5Ofnk5iYyOTkJFu3bmXLli3Al4VylDq3ngBxVok2tbW1cePGDadoo91uJyQkhJdeeomdO3ei0+lkvz2pL49CUFAQwcHBpKSkYDQamZycpKury8lpJTyYJpMJi8VCYWEhGzZsID4+noyMDLZs2SIVP5Q8X0/Zi5QUCLvdTnh4uNQpFp7yh0E47URS/oK1ccE+2QXKDeX69escPnyYmpoaJ3KzeFCeEMp5EiwEudq1drkye/FJKnA9TSjd/unp6fz85z9nenqa8PBwJ66rJxo0T4KEhARCQkIoKChg7969GI1GAgICiImJISoqCp1OJ2+mYiyUyWxLHcr1J7hMZWVl/Pmf/zlFRUWyVLOnUiRcZZNefvllJicnOXbsGMuWLSMyMtLpPZ7Yh8eF0ujSaDRs376dwcFBDh8+zPj4OAUFBaxbt46CggLS09NJSUlxUhxYyn3/KihDtQkJCWRlZVFbW0t1dTX379+npKREGhCe8Bxc9/X8/HyioqKw2WxOigLKxEpPchKIM0sYLNeuXeOzzz6jt7dXvic0NJRt27axefNm2afF0tx9GlB66HU6HXv37qW4uNip0I1SZUecE8HBwURGRuLn50dgYKCTVJ043z3F+6/E17HHlJVCF7I/Cz5jlCK7s7OztLe3U11dTVdX1wOl7sRt0hMH8WFQZk4+TDZIGDeupeXEc3FduJ52oxZQepsDAwMpKChwel0p27OUIOaa2HzVajVBQUEEBQU5VSVSYqn18XHhqqNZWlqKv78/paWlbN26dcmsS+XhXlBQwL59+0hISJBVmJS0gaU8lso1qVarWbVqFRqNhpiYGMbHx1mzZg3bt293SrhTavMulfH8OnAVwd+3bx8NDQ3U1tZy4cIFtm7dSk5OjsdE+IQhKjj2Wq1WJmSBg6olJLc88XxwLZhQW1srPa+CtpOfn8+BAwck3xpYUsofSv1ocCRbK/V5HxcWi0VWxfPUKoXgHMUSzjQhEam0XYTxvZh0wQX/FuXt0GazyTJ4yhJkIvEpKCjogWpASwmPmoAPE9deSoa6wMP6udQPw8WsZOKpcNUW3L59O5s2bUKv17uVsvKkcB3LoqIiyS1zPfyfhTEXa1KtVlNYWEh6ejpzc3P4+fk9YBwsFS/XN4UY15mZGUJDQ/nud79LV1cXf/M3fyN1U5Xnk6dEEh7GI/dEg9UVrlEbYcyKJKaCggJJvVrKKhffdM/QaDQemS/wKAhbxdfXV0Z8xHoR/VjM9bMonleBubk5RkdH6evrk6LhGo1GivOuWLHigYexlPCogfOETfFpQuhFis1fZJcuZSjbLyRDlJVslIv2WYfos+ACg7Pe7VJ5BsJbIGTonnXMzc2h0WicdIZtNhtms1mu06W4t34TKA2N1157Da1WS3h4+NfymC0GlNQwseZEwRBPhuuFMT8/n7y8PCkhuWLFCjZv3iyr8y1lvrXSAyvOwUdBOK9ExGMp9lupY+sJWHDjVdlRUXs6Li6O0NBQxsbG2LBhAwaDgZ07dwI4eWS98Fyo1eolVWLySSHKF3takYXFglJQGpxL4S4lKA8JZV+eVTxs3Jbi2D0tCM+z3W4nOzvbKbtbCU+bF666tZ4O18jbqlWr2L17N319fajVal577TXWrVvnxNFe6vi2ry13YsGfuvLw8PX1paCggB/96Eds374do9FIamqq1DiDZ2NCe+HFswKRCbtYpQoXCkrpuqUWrntSiKiBkDzz7qlfPpNv62V0MeC6ppKSknjzzTfJzs5GpVKxevVq4uPj5euedlnwYmnhiXc1g8HwVBtQXV3NZ5999lQ/85vgaffPE/Gs9/FZ7x94+/gs4FnvHzz7fXzW+wdPr49Xrlx5Kp+zEHjWx/FZ7N+z637wwgsvvPDCCy+88OKZg2opZvV74YUXXnjhhRdeePHthNfz6oUXXnjhhRdeeOHFkoHXePXCCy+88MILL7zwYsnAa7x64YUXXnjhhRdeeLFk4DYNFYPB8APgN1/xtrny8vIlqc9jMBgigL3AS0AhEA9YgCoc/f5NeXn5o5WNPRwGg+F1YDOwAigCgoA/lJeXv+3Odj1tGAyGBOD/AJ4HIoBe4GPgP5WXl4+6sWkLAoPB8F3g3S/++efl5eW/cmd7vim+LfNUiWdwDFXAD4GfAPmAD1CPYy/9h/Ly8vlrcy8hGAyGNiD5IS/3l5eXe2ZVhcfEt2EM4dtzXhgMho3AXwHrgXBgBId987fl5eVHFvr73el5rQD+00P+O/PFe466pWVPB/uBXwKlwHXgb4GDQAHwK+CPXyzmpYx/D/wFDqOg271NWRgYDIZ04DaOTfcG8P8DWoD/Gbj6xSXlmYHBYEgE/jsw5e62PEU88/NUiWd0DH8L/BpIBT7Asbdqgf8b+OAZ2EsFxpn/TPz/uLNRTwnP/Bh+W84Lg8Hw74ELwCbgGPDfgM+AMGDLYrTBbZ7X8vLyChwG7AMwGAxXv/jfXyxWexYADcAe4LDSw2owGP5XHJN6H/AaDoN2qeL/AXQBTTg8W2fd25wFQTmwDPjL8vLy/y5+aTAY/r84+v9fgJ+5qW1PFV8cHr8BhoFDwL9zb4ueGr4N8xR4NsfQYDC8CnwXaAVKysvLh774vS/wRxx76feBd9zUxKeJsfLy8v/o7kY8bXyLxvCZPy8MBsN+4D8Dp4DXysvLJ11eX5SycB7HeTUYDAXAWhweksNubs7XRnl5+Zny8vLPXKkB5eXlfcA/ffHPLYvesKeI8vLys+Xl5Y3l5eXPpN6awWBIA3YCbcA/uLz8H4Bp4LsGgyFgkZu2UPhLYBsOr8G0m9vy1PCsz1MXPItj+NoXP/+bMHoAysvLrcD//sU//82it8qLJ8EzP4bfhvPCYDCogf83MAO85Wq4ghzTBYfHGa/AT7/4+etnhQMzD8Tg2tzaCi++Ctu++HlinkvIJHAZ8Mdx2VrSMBgMucD/Bfzf5eXlF9zdHi+eHM/wGAquZ8s8r4nfrTQYDKGL05wFhc5gMLxtMBj+V4PB8D8bDIatBoNhSeZ9uODbMIbfhvNiPQ7axxFg1GAwvGQwGP76i7m6bjEb4lHGq8Fg8APeBuZw8EKfORgMBg3wvS/+ecydbfHiK5H9xc+Gh7ze+MXPrEVoy4Lhizn5O6AD+F/d3Bwvvgae8TEUnrrUeV5LU/x/ziK0ZaERg2Mc/wuOPIkzQKPBYNjszkY9BXwbxvDbcF6s+eJnP3AH+BzHhflvgSsGg+G8wWCIWoyGeJTxChwAQoGj5eXlnW5uy0Lh/8KRtHWkvLz8uLsb48UjEfLFz/GHvC5+H7rwTVlQ/L+AYuAH5eXlRnc3xouvhWd5DD//4ufPDQZDuPjlFwb7f1K8L2xRW/X08RtgOw4DNgCHSs3/AFKAowaDoch9TfvG+DaM4bfhvFj2xc+fAX7ADhzqLQXAcRwJXB8uRkPclrD1EPzki5//w62tWCAYDIa/BP4tUIeDvO7F0obIjl2yXEqDwVCCw1P338rLy69+1fu98Dx8C8bwfRwRuReAGoPB8CkOzt0OIB2HRysTWNI0s/Ly8v/k8qtq4GcGg2EKx7nxH3HILy5FfCvG8Cuw5M8LHPJm4OjL6+Xl5ZVf/Pu+wWDYi8PrvNlgMKxb6L3IYzyvBoMhDwefogsHn+KZgsFg+J9wSILUAFvLy8tH3NwkL74a4qYc8pDXg13et6SgCDU38GXShBdLCN+GMfyCP7gHh3JCH46L/7/CcVaU4VBWABhwSwMXHiLBd5NbW/EN8C0Zw2f6vPgCQqe2RWG4AvBFxEdEk0sWuiGe5Hl9ZhO1DAbDX+HQe6sGtpeXly/lBfptQv0XPx/GUcr84ufDOE6ejkC+7JvJYDDM955fGgyGX+JIAvqrxWqYF4+Nb8UYlpeX23BoSf435e+/yJNYARiB+4vfskWBOC+WbJY6fCvG8Fk/L+DLPo495HVh3PotdEM8wng1GAx6HDexORwixs8MDAbDX+PguVYAzyllQrzweAg90J0Gg0HtotcbBGzAseFec0fjngLMPHy9rcTBobyEY8N6FsPRzwK+7WP4XUAP/HaxJHrcAJHFPV+m/rOAZ2UMn/XzAhyFCWxApsFg0JaXl1tcXi/44mfbQjfEI4xXHNWowoDPn6VELYPB8L/jKBN3G9jppQosLZSXlzcbDIYTOLT7/iccVYsE/hMOT8j/KC8vX5J6ml+EeX4832sGg+E/4jB8frvUS4s+y/i2jKHBYAguLy+fcPndGhyOgSkc++yShcFgyAd6Xc8Ig8GQDPz9F//8/aI37CniWR/DZ/28ACgvLx8yGAwfAH+GI0n034vXDAbDc8AuHLSIBVdS8hTjVSRqLeWKWk4wGAzfx7EYZ4GLwF/OE9JrKy8vf2eRm/bU8EXVlFe/+KfQ8VtnMBje+eL/h8rLy5d6hR8DcAX4O4PBsB2oxVHydyuO8M//5sa2efEY+JbM02cdJw0GgxEH9WoSyAdexOF5fq28vHypeyX3A/9Pg8FwFkcVqkkciUwv4fBKHmHpl4h91scQvh3nxc9x9Ol/MxgMm3BUDE3GkUw4C/x5eXn52EI3wu3G6xfC2mU8e4laQs/OB/irh7znPEu7HN4KHCX9lEjjS92+dpZ4ecovbtOrcVxEnsex2fYCfwf8J683fUlgBc/4PP0W4E/Amzgy1v2AHhxa4P9XeXl5mxvb9bRwFodOaDEOmkAADl7hJRwJeb97BirEPetj+K04L8rLywcMBkMpDq/rXhxFFyZxVET9r+Xl5YtCi1DZ7Ut9PXjhhRdeeOGFF1548W2Bx0hleeGFF1544YUXXnjhxVfBa7x64YUXXnjhhRdeeLFk4DVevfDCCy+88MILL7xYMvAar1544YUXXnjhhRdeLBl4jVcvvPDCCy+88MILL5YMvMarF1544YUXXnjhhRdLBo+t82owGJa8plZ5ebnqYa896/2DZ7+Pz0L/4Nnvo3eePtv9g2e/j89C/+DZ76N3nj67/fN6Xr3wwgsvvPDCCy+8WDJ44gpb5eXlC9GOBcU8ZVkfime9f/Ds93Ep9g+e/T5656kznvX+wbPfx6XYP/CMPooCSeKnWv30fGmLPU9FH1SqRzp6nyo8YQwXEl/VP7eXh/Xi2cDc3BxWqxWbzYbdbkej0aDVap/qhuROzM3NYbPZmJubY3Z2FrvdLv8TUKvVqFQq1Go1Go0GjUazqJuZF8827Ha7XF9qtRofHx/v/PJiyULMXeUcnpubA56uIbsY8K7DxYfXeF1EzGfwuC7gpboI1Go1Op0OnU7n9Hu73b4k+qQcE9eSycIg1Wq1i90sL7yQe4ZarcbX19fpNXHYq1SqJbHOFgve5+K5sNvtGI1GTCYTVquV2dlZfHx8CA4Oxs/Pz93NeyLMzc1hNBqZnp5GrVYTFBT0wBn4bcR8ts6jIBw/TwKv8bqIEN47V++JGDgfHx93N/Gpwx3hlK8D5WJTelbFGGk03qXihXswNzfH3NzcvN4om80G8IBR+22Gcg37+Pg8k/vqUoNwYtjtdvr6+rh48SJXr16lra2Nvr4+oqKieOutt9i7dy86nQ6bzeaRkQXX82xkZISjR49y6NAhwsLC+PGPf8z69esBHrpmvw0QEUoRrXSliCgvlT4+Pmi12idep94TeYEgDhyxgQojyMfH55E3s7m5uSXpLRgfH6enp4f+/n5sNhuRkZGkpqYSEhICeP5CVrZtPkN1ZmaGkZERRkdHMRqNWCwWrFYrJpMJi8UiPbO+vr4EBgYSGxvLsmXLlsQtXMxVMV/FQSM8zuI/LxYPdrtd7gVi37BYLPT19WE0GgkICCAqKsppflmtVlQq1bf6oiXm7rNmzAuDXOyjS2WMlU4AgO7ubs6cOcOhQ4c4f/48Y2Nj8r3T09OEh4dTVlaGv7+//HtPOguFR18YWnV1dbz77rucOnUKjUbDpk2bKCkpQaPRPLbXcSnD9ewQjh6xZz1JtPJJx3pprIAlCHH4P6khulSMhNnZWekxnpub4/79+3zwwQccO3aMkZERysrK+Ku/+is2b94MODxEGo1myfRPYG5ujra2Nu7fv8/t27e5d+8era2tjI2NYbVaMRqNmM1mgoODSUhIIDQ0lJSUFHbu3MnmzZuJjIz0qM13PijHZD7j1dPb/yxCPH+r1YpGo8FsNlNRUcG5c+fo7e0lOTmZ9evXU1xcLEOtS21tLQSe1bkq1iIsrXEWPG1hxNTV1XHw4EEuXrzoZLgCtLa2curUKdLT00lPTwccFzJPomuJS4QwXqurq7l69SoAqampBAQEyLPuWZ2LSrieHYvZZ48wXkUofXZ29oHXhCXvetP0tBuZgNJzqnSDj4+P09fXR2NjI42NjUxMTBAWFkZKSgphYWHo9Xri4uKIj48HPD/crjRy5ubmaG5u5tq1azQ0NADw+eefs2XLFmm8evIt1GQyMTIywuTkJMPDwwwMDGCz2fD19aWjo4M7d+5QX19PV1cXnZ2dTn+r1WqJiYkhKyuLwsJCwsPDCQ8PJyYmBp1O57HjZ7FYmJubw9fXV0YGHnUoCk+gJ4RgXZMD53vGYv0pX3P1WHliNEC5f6jVaiYmJrh9+zY3btygoqKClpYWZmZmCAsLo6qqiry8PPLz8yktLSUqKgpAhuo86dBfaCgNisHBQe7fv4/NZiM1NZWEhATpofbUc2M+iLCrSqWSya9ivgojSsznpdKvlpYWbt++zejoKHq9nqSkJFauXElKSor0vHryWeHK46yvr2d6epro6Gh+8IMfsHz58mfO66+EzWbDarVit9vR6XTznh0TExMMDAzQ1dVFe3s7w8PDzMzMMDs7i9lsxmw24+fnJ+khcXFxbN++nYyMDMB5LT8KHmG8zmecfhU8daEqNxeTycTo6CidnZ10dHRQV1fH6dOnOX/+POAwfEpLS4mNjSUkJIQNGzbwwgsvsGzZMnd24bEgjBm1Ws3c3BxdXV0MDQ2h1+sxmUzYbDbu3LnD3bt3KSws9LjwubgdA3R0dHDixAm6uroYGBigrq6O0dFRfH19GRwcpK+vDwC9Xo+fnx8mkwl/f3/WrFnDli1bWL58OYWFhXLxLQUoDRsxlsrwj9LrKoxATzBc4eHJgV/nczwNykjN0NAQly5d4r333uPIkSNMT08DjrFrbGzkxo0bBAQEUFpayne/+11eeukloqKivpU8T4vFIj3QXV1d/PM//zNGo5HXX3+dsLAwOVc85QL2OHAdR3EpUaqZCHjieSjoAlqtFpPJxN27d6moqGBqagqAkJAQ1q9fz2uvvUZhYSFTU1PMzs4SGRkpP8PT6BFqtVoar319fXR0dABQWlrKc889R1ZWlhwLTzbCvy5c5504MzQaDVarlebmZioqKqioqOD69etUVFQ84GEHB0ffarUCEBwczL//9/+eH/3oR4SHhz/2XHbrzFCGnh8HFosF+PLgVfIs3A2lF8dsNlNTU8Ply5e5c+cOnZ2dTE5OMjU1RXt7u/wbi8XCzZs38fX1xc/Pj56eHlQqFS+88IL0ojzuLWSxoeyv3W6ntbWVlpYW1Gq1NGBra2u5fv06cXFxREdHA85Go7tgt9uxWCyyHQ0NDfzqV7+iubmZ0NBQxsbGmJqaQq1WExISQk5ODgkJCYSHhxMQEEBaWhr5+fmkpKQQFRVFZGQker3erX16XFgsFnx9feWam5qaoq2tjba2Nurq6mhpaWFqaorAwEASEhJISkoiJyeH/Px8aRw86br1JAhvltITZ7FYnPha7uiXKzewtbWVY8eOcfjwYS5fviwNV/hyHwQHT/DOnTuMjY1x48YNXn31VbZu3Sq9Pzabbclylu12uzzglHN2PojENXA8k6qqKiYmJigrK5OfIT7T0zE7O+tEEwBob2/n8uXLNDU1kZmZyfPPP09YWJhMTHP3njoflCH/2tpa/umf/okzZ85gsVgIDAykuLiYAwcOsGPHDnx9feUYKvvtSfNWmQBotVqprKykq6sLtVrNsmXLCAkJcZqjS3F/fBLYbDbu379PZ2cnra2tNDc3097eLs8TYbSqVCoyMjKIiYkhPj6eqKgopqamuHbtGrW1tUxMTHDmzBny8/PZsWPHY0eM3DLjxQYijLKxsTFGR0cxmUxO71Gr1fj7+xMaGkpwcLBHGq0CSmOupqaG999/n08//ZS6uroH3hsYGAh8eZOenp5mcnKSU6dOAUijCDzXeFWGT+x2O+Pj44DjOYhx9PPzIzAw0CmM4ikLWhDvAUZHR6mqqpJtDwwMJCsri+LiYnJzc0lOTpY0AI1GQ3Z2tpN3XKhIiHCK2OA8KVtWjJVYQ6Ojo7S0tFBbW8vdu3e5desW9+7dc7olBwQEyIMyICCA3Nxc+Vkic9gdniyLxcLIyAgjIyPzrg8RMvf390er1cp2+vv7ExISgo+Pj6QeaLXaeT24SvUJV0NioaDcQyYmJqirq+PmzZtyTETyo0qlIiAgAB8fH0wmEwMDA9y5c4eamhrGxsYwmUysWrWKmJgYadQsxURQES4XeFRoXDk+IyMj8jmYzWante6pcE3QA8ccGBwcpLW1lZs3b3Ly5Elqa2vJzMxkZmaG3bt3S6eA1WqVScGeAuVFoba2lmPHjjEwMIBarWbNmjU899xzrF+/Hl9fX8mN9WQngJKm0dvby/Xr12ltbUWr1RIaGopGo3FaZw+bq64XqPky8D0RVquVmZkZZmZmGBwcpKKigps3b1JdXU11dTVDQ0PyvaGhoeTm5pKenk5RURF5eXnEx8eTkZFBfHw83d3d/O53v+M3v/kN/f39Tvbd48ItxqtygLq6ujh16hQnTpygublZehUEpyI3N5cdO3awfft2YmNjAYdXwmw2k5KSIrMS3cVfU4Zx5ubmaGho4JNPPuGPf/wjbW1tAOh0OsxmM+AwCBISEhgbG5Ph6NDQUKanpzGbzdy4cYPu7m6nz/dUKMdxvk1z/fr17Nu3Dz8/P+np9ITN1TUEHhMTQ0lJCdeuXZNexc2bN/OXf/mX5ObmMj09jUqlws/PD7vd/gCnScw7sQkLr6QnbURKI29kZITf/OY3fPbZZ/T39zMwMMDIyMgDfzM9PU1FRQUzMzPExsYSFhZGdHS0k0GkNPAWqx+tra289957fPLJJ0xPTxMUFOR0mbJarURFRZGfn098fDwWiwWz2UxWVhY7d+4kLi6O5uZm+vv7iY2NlckhSggu92JCuX8FBweTmJhIREQEAwMDAISFhVFYWEhsbCxRUVHo9XoqKyv5/PPPMZlMmEwmjh49SnNzMy+//DKvvvoqBQUFwJfeck9YfwsBsSZnZ2fp6OhgbGwMX19fJ5keT4e4CNrtdnp6erh06RInTpygoqKCnp4exsfHsdls9PX1MTg4iNls5jvf+Q5ms5muri6ZNCrORHdDGCM9PT10d3dLD7iPjw+lpaVs27aN4OBggHn3VU+D0ngdGhqioqKCwcFBwsPDycjIICEhAbVajcViQavVPnRPdP39Yu+hTwLluTE+Ps7Zs2c5cuQIFRUVDA0NySilQHh4OPn5+Wzbto0NGzbIPczf3x8fHx95OQkNDSUmJoawsDBCQkJ4/fXX2bFjB4B8fl+FRTVehfaXOOQrKys5cuQIp0+f5urVqxiNxgf+5saNG7S1tTE8PMyqVasYGxvjypUrzM3NsXPnTtavX49er3fbwCs3xrGxMU6cOMGf/vQnabgKjiRAVFQUzz//PHl5edy7d4/Dhw8zMTHBxMQE/v7+WK1WxsbGpGcWHGFdT038UXpe5+O1ZGVlyVDzzMwMgYGBHhMGUnrbli9fzk9+8hP8/Pw4e/Yso6Ojki4gxLOVi1gQz10TKTylb0qIw1tsuq2trRw9epSDBw/KLFmNRsO6devIz88nKioKPz8/fH19aWlp4ejRozQ0NPCHP/yB6OhoXn31VXQ6HePj4wQGBjoZsgvVf+Vnz8zMUFtby+HDh6moqHjk3927d4+EhAQsFgsmk4nU1FTa29uJjY2lpaWFgYEBYmJiyM3NJSMjg2XLlhEUFERAQIDcbN0FwSVTztOioiL+7M/+jLS0NHx9ffH19aWwsJCAgADOnz8vQ3U3btxgcnKS0dFRXnnlFUpLS+XneKp+poDyEB8dHaW5uRkfHx8yMzPlvjjfQS/mx/T0tIzihYSEEBkZ6SR874n9FnuLMN7Onz/P8ePHqaiooKqqiq6uLvlevV6P1Wqlrq6ODz74gMnJSWZmZujr6yMtLY0dO3ZQXFwsuZlKKspiQaxXlUqFxWKhpaWFrq4u2b/Y2FhWr17N8uXLUalUGI1Gjy9OIBLkBIaHh7l//z4AQUFBpKWlSYNLqa7g+hnw4BxUjs98lBF3wmq1yn2wp6eH9957j48++ki+HhUVRU5ODpmZmWRmZhIZGUlSUhLFxcUkJSU5fZbov81mY3x8nPDwcHbu3MmyZcuk4QrMm7g/HxbVeBULymg00tjYyB/+8Afee+89uru7H3nrqq+v5/Lly7S0tFBdXc3ly5dlhn5KSgppaWlyQrgzg7impoZjx445TerJyUn5/y+++CI/+9nPKCoq4ubNmwB8+umnzMzMyFupRqNxMuI9LdFpPqhUqnnDPUqD1tOkQ9RqteSLRUdHs2fPHtrb27l69Somk0mG1AsLCwHnS4qPj4/HeDe+CkqP5NTUFB999BG/+MUvaG1tBRzzcs+ePXz3u9+loKAAvV6PXq8nICCAjo4OoqOjeeeddxgYGKC/v1+KjIs1uGrVKoKDgxd0zSmf/ezsLBaLhaCgoK/8O6HLKz6jo6ODq1evymQBwf+NiYmhsLCQlStXkpOTQ1RUFKGhoSxbtozo6OhFyVR3lRRqaWnhzJkz1NfXo9VqWb58Obt37+aVV15Bq9VKpYWsrCySkpLQ6/X8/ve/l5V+6urqGBoakmHasrIy+T2eDCUNpb6+nl//+tf4+vry05/+lKKioodSVUS/RAY0OLw78fHxTs4ATzEKXCHmVnV1Nb/5zW94//33MZvND+yrIoIHyJCt1Wplenqa5ORkNBoNhYWFaLXaRxa3WEgov3N2dpaenh7q6+uZmJhAr9ezdu1acnNzl5T0l6tB2dzcLJO1YmNjiYiIeKzP+Cp4WmREaUhOTEzQ1NQEOPqyfPly1q9fz86dOykqKmLZsmWy2MCjxlSj0UgaWnFxsYwiCTzuRWbRjFdxu/Tx8aGmpoby8nKOHDkiQ+cBAQHs2LGDxMREeajMzMzQ2dlJVFQUmZmZdHV1cevWLcxmM8PDw5hMpse20hcSIyMjNDQ0cOTIEaqrqwFHyMRqtRIUFMTq1avZtWsXGzdupLi4GJ1Ox+rVq/nZz35GYWEhly9f5vLly3Jjev/99wkMDOTFF1+Uh/TjutIXC8oJqtFoeP755+nt7aWqqkoml9y+fZurV6+ycuXKR3pN3Alx6EVERFBaWsqqVau4fPmyTEBLS0sDkF4wwWldChqoykN+dnaW69evc+nSJerr6wGHZ/xf/+t/zUsvvURycvID8yspKYlXX32V4OBgrFYrJSUlGI1GLly4wN/93d8xODjIvn37+NnPfiZv2QsxT5UbekBAAMXFxbz22muEhobS19eHXq93SpbQaDQMDw9TW1tLb2+vVCaYnJyU4XUBs9lMe3s7Y2NjdHZ2cuPGDZkcFB0dzdq1a2X4ayEvLK7Ga2trK2fOnMFqtZKcnMwrr7zCtm3b5Os+Pj6YzWZ8fX0pKirijTfeAODKlSt0dXUxNjbG4OAgx48fl8buhg0bpJPA02TCXLnFRqORhoYGLl68iFqtZuPGjeTm5j4yHAtfRkVEUl5oaKikD3gSlUfw48U5UV9fz5UrVzh79izXr1+XZ4FyrgIyiqJWqzEajU6OjtbWViorK+U8EsbrYkOpWGKxWGhtbeXevXuYTCZKSkrYtWsXKSkp8v2eThcQa0Wv12OxWLh16xaXL1+WY1NQUCDpD/BoA3Rubo7JyUkmJiZk9GRwcJDx8XHi4+NJSEgAPOecVPYlJCSEjIwM7t+/T0BAACkpKWzatMmJ/qGE4JsLupKSrufn50d8fLzTnmoymZ4oyrzgxqty0xB8pA8//JB3331XErSDg4NZtWoV+/fvp7CwEKPRKN30fX19qFQqzGYzPT090thYtWoVRUVFMrFpMRMrlJidnaW7u5ujR49y+PBh6ekQm1Nubi4//vGPeeuttwCknq1Wq2XTpk2UlZXxxz/+ka6uLsbHxzEajXz00UeMjIwQHR3NqlWrZP88CcowuUqlIikpidTUVKcEtYaGBq5cuUJSUpLUr1XyhtwNZTWiubk50tPTKSkp4fbt2xiNRnQ6HQEBAV/5OeIC5Wm3ZqWBcufOHf70pz9RWVkJODaP3bt389Of/hQ/Pz+ZOOjv7y8VIex2OxkZGSQmJuLj44PRaOTcuXN88MEHXL58GXDo+R44cEAarw8LmX1TCI+br68vmZmZ6PV6YmJi6OjowMfHh6ioKHlg+/j4MDw8zL179+js7ESr1RIQEIDJZKK/v5+Ojg5GRkbk3mSxWBgfH6eyslI+H4GbN28yNTXF9773PbnRLtRF0tXDLKIxYWFhlJSUkJaWJhPNdDqd9Fao1Wo2bNhAVFQUCQkJfPLJJ1RXV2MymRgcHOTjjz/GYrEQEBDAmjVrgIUbp28C5YE9ODhIc3MzPT09+Pv7Mzg4yOTkJBEREfMKowsDtaGhgfr6emw2G8uWLSM8PBxwDmW7E2KMhcE2OTkp6XMHDx6UOtngSOwVNBZBA7FYLE7KCr6+vuj1eiYnJ9Hr9URHR8s+ustYVz7npqYmqqqq6O3tBRxC/vn5+YSGhjq935Mh+OLgGK/r169z69YtAFasWEFRUdFDjVcldcNut9PQ0MC9e/cYGBiQl8qGhgb6+vrIzc1l165dLF++3O25PALK+ePn5ydzHoxGIxEREWRkZMhcEFEBTlz+HxU11mq1Tsm0Sj7s42LBrQix0LRaLc3NzfzqV7/it7/9rfx9RkYG27dvZ+fOnZSWlhIeHu5k4E1PT1NZWcmhQ4c4e/YsVquVnJwcdu3aRWlpqVwEi2kUKTdZq9VKb2+v5CcpJ2psbCxlZWWsWLHC6W+Vh5RarWb58uWsWrWKkZERKYJfWVnJ73//e1QqlfTWuovDNB+UEi2zs7NcuHCBI0eOSNUBwEmiRsCTjHCxuQtJHnG7FgbN1NSUFPMXho7ZbJZZ7PCluoJarfY43pZIIhSVa44ePUp7ezupqan863/9r/mzP/sz2WZhAAhDXDyPgIAAQkJCsNlsXL9+nV/84hecO3cOcMzdgoICpxD+Qs1N14tpYmIiQUFBzMzMAF+Gi5Uen23btjE9PS35hFarlaGhIe7du0dNTY3kLYsCG0oJKgFR1Wrfvn1yr1kIw2++JMKUlBTa2towmUxOtCil1JeAVquloKBAevI6OzulZ2hkZIRz585RWFhIXFwcsbGxHmm4KhVk+vv7aWhoYHJyktDQUIKCguThptx/ldWMTCYT165d4/r16wBkZmbKS5WY1+7eOwWHUPTz7t27/Pa3v+Xs2bP09PQ4vXfHjh08//zz+Pr6cvXqVc6dO0dbW5vTmSr0xLOzs3nppZd4/fXXnbzzi9lfsbeLc7ilpYVLly5JGh04aEp+fn4ed9F/FFwvlePj4zLBNSEhgfT0dCcnx8P61tPTw6effspHH33E2NgYGo2G8fFxRkdHmZqawtfXl8rKSv7dv/t3rF+//oHvdje6u7uprq7GYrHIJOf8/HwZJRfr8Ekuiq6qLk+CBbP2xGEvFtLk5CRnz57l4MGD9PX14efnx6pVq9iwYQOvvPIKa9askZNe3KLVajWBgYEMDAxw7Ngx6urqJKdn9erV0sW+2FCGY8fGxmhoaKCjo0NOtLm5OfR6PWVlZbz66qskJibKUIq4cYubio+PD4mJibzxxhtMTk7S29uLzWbDbDZz7NgxEhMTKSwslM/E3TcxASVdY3Z2ljt37kjDVei8arVagoODPVIqC5yTmXQ6Hb29vdTW1srQ48mTJ2lvb5dedBH+ENqn8fHxREREOG1cJpPJrXqh4JwhOjMzQ3V1Nbdu3ZIaw8uWLWPPnj3ExcUBjuSDiIiIeQ0aYdDZbDZJ2zGZTAQEBJCfn09eXt6iGK+AvGiI/oWGhjp5cFzxsGIfQr7FYrGgUqlobGwkIyODnp4e+vr66OvrY25ujrGxMSwWC3fv3uXEiRPs37+fwMDABZPzUT67mJgYli9fLhM/RfhXXBZHRkbo6+tDo9EQGxsrLyoJCQls2rSJqqoqWYLTZrMxPDxMS0sLPT09xMTEAEh9W0/g1btyWVtaWmQUp6CggNzcXLnOXDmvYp1ZLBa6urokFzE8PFxezjxl31Qm9dy6dYv333/fiT6n1+tJTU1l1apVbN68mczMTFkwZT5PqnAQREdH8/rrr1NaWgrwlRnvCwHXhKSenh5qa2sZHByU7xHRLHHZUCosiPUtLqqLbXw/DsQYKC8QD5ODFH1RqVSMjo5y/fp1Lly4wLVr1+R7hfSi1WqloaGBjz/+mNTUVCIjI0lPT5fzfLFpBOL7xN7Q3t7O6dOnuXv3LgB5eXkUFhbK9aXRaL7WhfibJDovmPEqDhkxqLdv3+bIkSPydpmdnc2uXbvYs2cPWVlZD3hNhbE2MDAgw3zgeEgiSUs5YRbzJqc0DoaGhrh//77TAtVoNKSmprJ161a2bNki5TOU3hWxUE0mE0FBQezcuZPW1lauXbtGZ2cnVquV0dFRJiYm5Oe6em3dCVcxZqUBJwxbUfbXU9rsCuXztNlsXL16latXr0od0Q8++MDJ6yoM2LS0NEpLS1m9ejUlJSUUFRU5fa67w5PK5y0Ml9HRUVkNLSYmxokL9yjjRYylKF8cHBzM0NCQTHgSHvjFglhD3+T5JiQkEBMT40RB2rNnD1NTU1RVVXHkyBGuXLkiJarGxsY4c+YMiYmJbNu2TUZWnqbGratnOSAgQIa8hR60QGdnJxcuXODMmTOEhoby3HPPERMTw8TEhMzeXrFiBaOjo1y5cgVw7EnT09OMj4/Lfov54AkQzxMcc66xsZH29naSkpLYunUr2dnZTu8VUM4DIVno6+vrcfqursUETp8+za9+9SsuXLjgpI+ZkpKCwWBg48aNNDY2cvDgQaqrq2lqaqK/v98pmiX+PyAggPT0dEnNAvdILLruA1NTU4yMjMgLcHh4OKmpqU55BIK65eoZd/ce+jAo147498P2QFFiHBxr9tSpU9TU1MjXAwIC2L9/P6+++ipms5l33nmHo0eP8umnn5KdnU1qaio+Pj5O4fjFgjKSbTKZuHXrFteuXcNoNBIWFkZeXp7cn8A9TqkFM15FaGRmZoY7d+7wwQcfcPHiRaanp8nJyWH37t28/PLLFBYWOnVcGHlCTuvmzZtcuXJFEtPDwsLIzMwkPT1dhnEXW0pKOVEHBgZoaGhgfHxcHgaBgYGsXLmSwsJCOcnnu0WKiSlQXFzM2rVrMRqNDA0NybJrnriIXb0A8xmvvr6+HivLozxIBgcHZVi9v78fcPTBZDLh5+dHbGws/v7+0itXWVlJW1sbd+/e5fDhw6SlpbFt2zZ27drl5JVzV3Uj143UbDYzNjaGj48PhYWFbNy40Yni8Cher/JSKbiW4juio6NJSkpyMn4Xo6/KELo4pJUUEBG6mu9QEeUqlQeBVqslLCwMcCSphYSEMDk5KRPboqOjKSwsJCkpyYlP+LT7qlwngYGBsk3d3d00NzcDDoPg/PnzvPvuu9y5c4eoqCg6OzsJCgpiYmICm80mdZX7+/ul4WCxWKipqeHatWukpaWRlpbmNLZms1lGDNwB5X4i+K5jY2NkZ2eTkZEh15XJZJLzUCS/6HQ6goOD5TwXc1NZZtTdxpByvrS2tvLZZ5/x6aefyvGJjIxkxYoVrF+/HrVazdGjR7l//75MHlVC0Hvm5uYIDg5mx44d7NmzxykK4Y4kKFfqR19fHzU1NVILdfv27ZSUlMhxUCbrPOwS6IkFiZR7irh0fdUFvqGhgQsXLsixzM3N5fnnn+fNN9+kpKQEs9kstWObmpqorq52qpK32Dq4yv7Mzc0xNTXF5OSkzC9QqrCAe+g4C7JTKRMa6urq+O1vf8vJkyflDTMhIYEXXnhBSp9YrVY5MMJwBcfkP3v2LOfPn2diYoLg4GBKSkooLCx0a6hLuQn29vbS1dXlJNS7bNkySktLnTIqRWjEFcoJGR4eTnFxMbW1tQwNDWGxWB76d+6GqxdYyRdUVjASnFFPg6iuZLfbOXr0KP/n//l/0tjYSEBAABkZGcTGxhIbG0tycjKZmZkEBwfT3NzM2bNnaWpqwmq10tfXJyXPTp8+jcVikZ52ITnlDriOS29vL62trVitVpYvX862bducNPjmO9RFmFWUbayoqODKlSsMDw8DSEN47dq1TrSBxTxkHnUxEF64x4UoGyvoTDk5OfK18PBwVq1aRVZWFoDcr562MaTsS0REBHl5eWRmZjI4OMjY2BhjY2MMDw9z9uxZLly4INvtatwoITxbwngNDg4mNDSUjRs3Sk+6UGNwJ5R9F6L2drudmJgYJ46uXq93clYoa60PDQ1RV1eHxWIhPz+fjIwM+ZnuvEQrI3UdHR188sknXL582WnP1Gg0rFq1iszMTN59911OnjwJOPorjFW1Wi3zQcQaT0tLY+/evbz88suybKlwGiw2lN5zcJzfgu8aGxvLypUriYqKknuLOBuE08fVi+6JtAFXzEflUBYustvttLW1cefOHXkZjomJ4a233uLVV1+V+4yPj48U7O/t7WVgYMCj9G9FlNhqteLv7090dPRjJTMvJBbEeFVO4OHhYaqrq2W2IThI24J3NT09LR+IkiM7ODjIsWPHuHr1qgzfCa1DZUUcd3gKlJSBjo4O2T6x4LKysli1ahXx8fGSG/MwD6rr75Qbj8VikeXYhBSQJ3oxXaEUlJ+cnPTI2uLiOQ4MDHDjxg0aGxsBh/f7Rz/6EcuXL5cG6LJly9DpdIyMjFBWVsbw8DBDQ0NUVlZy6tQp7ty5Q3V1Nf/xP/5H0tLSKCoqYt++fSxfvhxAShot1kasXH8jIyPcvXtXau5GRUURGRn5lW0RB6SPjw/j4+McPXqUY8eOOdFYIiIiiI+Px8fHxylxxtMhDlnhqVV6dwS3V6xpcOxht27dIjExkczMTCfe+tPqr5InBw5ZmpKSEl5//XUGBwdZuXIloaGh0pBV9sX1c5TcQ1FsYXZ2Vobjf/vb33Lw4EESExN54YUXeOmll5yypRe7JLV4jkL+q6urS6rMJCUlSbULZR8FlPt/TU0Nra2t6HQ6srKy5BkD7k3UEoUhABobG2XZcGGYms1mzGYzV69e5f79+9y4cUP+rV6vZ82aNajVatra2mhvb5eJeLGxsaxZs4bCwkL5+e52FCjno3LfNxqNdHR0cO3aNZqamjAajXR2dtLU1MTExIS8KAv5sIyMDMrKyigqKpIGnKcU2FB+v/CAu/5OePrHx8e5du0aFy9exGazERMTww9/+ENef/11MjIy5PwVziCxt/T393P79m3Kysrkc1lMKOXOzGYzTU1N1NbWApCcnEx2djaBgYFS0k1cQEQ/FqOa5lO3/Fw9cmIxiWxfu90uLXfASUBaYHx8nCNHjvD+++9LUVxwKBNs2rSJqKgoWYnCXZusqBzS0dEhva46nY6CggI2bdpERkbGA3ye+aDkzc3NzTEzMyMNXqPRSHd3Nz09PdJ49aSb6MM2ETGh4+LiyMrKWrSEnieB2DSsVispKSmsWbMGHx8f3njjDd544415b7zR0dFy3gKsWbOGtWvX0tDQwPXr1zl79ixVVVVcvnyZqakp3n77bacowWJpTSrX3/T0tFSwAJxUK0TJXsHhFH8rPDziGUxNTUlBdIHY2Fiio6Ol0ePuQ/NJMN++If7d3NzMwYMHnZIqhoaGaG9vZ3h4mMzMTGBxSjpmZ2fz5ptvSqoVIAtD3Lt3j97eXqkVOT09/UD40m63S81lge7ubqfy04ODg0xPT0taRHR09KJ77ZT8uv7+fu7cuUN7ezuRkZEUFRURFxfHzMwMQ0ND8nA3Go1SaQKgra2Nzz77jI6ODsLCwkhOTnYSjneXwSM4kQIDAwNUVlZKA1T8tFgs0puu1WpJSkoiLCyMsrIyVq9eTVVVFR0dHU79yM3N5bnnnnNKXHa3ioSyfb6+vrI0+sjICFeuXKGtrQ0/Pz+Gh4epqqqatyw1OAykpqYmXnvtNdatW0dQUJDHSCwqPcyCgqTc/5Rc15mZGS5evMilS5dQq9W88cYb/PjHPyYtLQ2LxeIUxVEa+0IVJT09ndjYWPm9sDhzWWm8zs3N0dLSgtlsRq1WU1paytq1a79yronntFCUnac+G1wbqfy38uE/rHxaW1sbly9f5oMPPuDKlSvSEPL19SUyMlIO5GJ7B8DZ0BTi5kNDQ9Ig8/PzY+vWrezcudOJzPy4BpswbpTvF7SElJQUqafmKXA9KF2xfv169u7di1qtlt5HT+EuiXkZFRXF22+/ze7du1GpVA+Uk3wUUlNTSUxMZNeuXezYsYP8/HxOnz5NY2Mj77zzDj09PfzVX/2VzAB+mgk+j4uHXXhcL5lKpQxXObbm5mYnT2RKSooUjVd+z1KFclzu3bvHJ598wr179+TrkZGR7Nixg7Vr18pM44XyMis/U6fTkZeX5ySNFRERwSuvvIJOp+PatWuMjIxgs9lobm52Svx5XFy5coWamhpZCOGNN95YdKF08TzBMddOnz7NxMQE2dnZBAQEUFdXx9WrV6mqqpJGQVdXl+TFimfT0dEhhc4FbUmJxc7YFlB+p7+/P5GRkQ812sAh8bVnzx42bdpEcXEx4+PjXL9+nebmZkk1CAsLY82aNWzevJmIiAgpweUpzgFwft5ms5nm5mZJcVE6aeDB5MH29nbef/99BgcHMZvNbNu2TYapF/vsV46fj48PQUFBBAcHMzIywvT0NNPT004XFOW+Kjyo4ODTr1+/XiasKemVDzNM3c3TBsfYiZyjuLg4IiIipFzgyMiIPGPm5uYICQlxSmZbSHtlUa4ydrtdGqEqlYrBwUEOHz5MamoqQ0ND2Gw2/P39ZXbs4cOHpZdHeC+Fp0eQvN2xSF313oxGIzabTQ6yqJwlss8fJ5lsvmxZZd8EbUAsdE81EuabpHFxcbIvIiHEkzZXcIxZTEyMU4jRZrNJvrEwUsQNVGR+C2624LWuWrWKqKgotm3bxvHjx/n1r3/NH//4R/z8/LBarRQUFDxS1ulpwnUslIeE2IgEL1dAHAbip0ajoa+vj/Pnz/P55587eeuSk5N57rnnJAdU+XdLEWJNjY+P09LSQktLC+C4MGu1WlasWEFpaamTJNNCe4GUmpmCOyeMgezsbLRaLTk5OYyOjmI2m2ltbaW5uVka4sKrI7LvdTodGo2GkZERWltbJU9/YmKCiYkJOjo6sFgshIaGsmvXLmJjY524iAu57yjna3d3txTqt9vtHD9+nI8++ojr16/T3d1NWFgYAQEBTlqbrpicnOTGjRtkZmYSEREhIz/uMlyVeQ25ubn88Ic/5Pz587LoTlhYGOHh4YSFhREREUFaWhrr1q2T+uCCLykM16SkJKkBK+TgPGX9uUZ9hGfZbrfLCKVQ44mIiMDPz4+MjAxSU1Pp7+/n3r17dHV1yaI9R44cARzPcdu2bZJeuJhQPtvAwECKi4tZs2YNbW1tXLhwgZycHIqKiggMDHQy2Do6Ovjoo48k13XNmjVOlEdXL7WgzYCDF7tixQqpDLPYSWtKTn9LS4ukKlksFs6dO0d3d7d0Sok9SqPRyGhrWloaMTEx8rxfiOTlBdmBlQ9ZqAO0trYyMDCA3W7n7t27/Jf/8l/Q6XROB+vExAR9fX2yHjkgaQa5ublkZmZ61CK1Wq1OUlAajcZJW1KZnf24EBwaAaHa4GlG3+NAGdbzBK7S40KZBKKEUlzcFbOzs8THx5OUlERaWhozMzP88pe/5L333mN8fJy3336bLVu2yAzyhfQCKT9Xr9cTHx9PVVUVALW1tdy8eZPo6GhpTLtqYE5PT9PR0cH58+f57W9/y7Vr1x7QIF21ahXh4eHzRguWCpSJFRaLhcrKSmpqapwoFCtWrKCsrMzJG78YWb+P8sAEBASQl5cnPd+CbiSKZVitVsbHxzGZTGg0Gvz8/AgLC8PPz4/a2loOHjzI559/7mQQgSO59o9//CNzc3Ps3LmThISEBd9vXS9aMzMzklfd0dFBT0+PNHoCAwMJDw8nOjpaVifSarXMzs7S1NQktbZHRkb47LPPZJnxLVu2yLnuDu+rci/JysriJz/5CaWlpdTX18uktMTEREkVELxPgEuXLj1An0tPT+d73/semzdvBtwThXwYXA0yjUYjuaoBAQEEBQWxfPlyNm7cSHp6OjqdjpSUFLKyshgZGeHy5ctcvHiR27dvy5Kyx48flwm0y5cvXxDO+aMg9jaLxYJOp2P9+vXU1NTw6aefMj09zccff8ybb75JXFyclI2cm5vj0qVLfPbZZ4yPj5OWlsby5csfiMiK9ttsNoaGhmRCbGFhoayuKWyCxRhj8UzFnB0fH6e1tVVGdQYGBvj0009lFVTl3FapVISHh7NixQp27tzJ9u3bycrKQq/Xywv408SCGK/KzT0nJ4fvfe97zM7OcujQIcxmMwMDA05hSCX0ej3f+973CAkJ4cKFC1RWVhISEsKmTZucKlW5Y7EqjUqz2UxHRwd9fX1Og/Kk7XL15rpqOmq1Wo/ZmFzhGk5xhbLutrulah4GcQkRIUZXGaWvgri8iFLH4PBMHjhwgKGhIT7++GOOHDmC2WxmYmKCjRs3kpiYuKAGkJKSk5iYyE9/+lPm5uY4ceIEp06dAhyb0Jo1a0hKSmJ6elrqMU5NTVFXV8fNmzeprKyUiWzCwAMH1UJc0kRygqfO0UdBqS0pDJ4zZ87IC7XNZqOwsJBNmzYREBAgN/bFlqxxpXGINgv4+PgQEhJCSEiI/J0oQOGKVatWodPpyM7O5vLly5w+fZq2tja0Wi0Wi4UbN27ItfDqq6/K8tvK0P5CQiTNgYMPGhsby9q1a1mxYgXJyclERkYSHBwsE0Kio6OZmprinXfe4f3335eFUubm5jh69CgBAQHEx8fLsrjCAFlsKMcxPDycDRs2SB5zQEDAvLXhOzs7OXv2LCdOnJAFKfz8/MjKyqKgoAD4soywJ6w/1zmalZVFcXExN2/eRKVSSaNGGK6iWEFoaCgqlUqWw83NzeXYsWOMjIzQ1NTE9PQ0XV1ddHd3k5OTI9ffYtKwxB6v1WrR6/WkpaURHR1NR0cHw8PD3Llzh4KCAhkZttlsThFTcfESlBZx7ov2NzQ0cOvWLaamplixYgUlJSVyni6mc0CZOCpyA/R6vcxNCg4OJjw8XOYcCbk6se76+vo4duwY1dXVXL9+XUpIJicny/fD04mcL8hupFKpZLZyUFAQzz33nAxX3rp1i8nJSeDLB+Tv78/k5CSzs7McOHCAt99+m8HBQSlDFBcXx+rVq0lOTgYWbyN1hasE0cDAgFPoSiTBCDyOseaaOSsyUJXf86iEL3dC+TyUHnQBV+1XT+LrCgj+9ddNdFBWhYMvOaM5OTn84Ac/ICQkhGPHjnHmzBkGBwcZHR3ljTfekNzthZjLSl52UFAQr776KhaLhaamJlpaWjh69Ci3b9+muLiY4uJimQks1C1aW1tlVZ+YmBj5e0DyzsUm7YkXkseFCGPNzs5y69YtTp06JStaAcTHx1NYWEheXp6UDFvsfUcZshcHqBijpqYmyX0MDg6Wl18l1UWsOaVIfkFBAQUFBaxatYrIyEg+/vhj6uvrmZubw2g0cvXqVUJDQ1m9evWCG6+uB3NycjKbNm3izp07ZGRk8OKLL/Liiy9SVFT0SOm58+fPyxB1dHQ0QUFBWCwWjEajU9Kau/Yg5XjMzc2h1WrlHiAgqvOJcpsVFRXcvXtXOnp0Oh1bt25l27ZtMhLgCUargGsiZFZWFiUlJbS3tzM+Pk5ERASbN29m06ZNANIAEvaCyWQiLCyMsLAwWXK8qakJvV4vIwruHD9l38LDwykqKpL75tGjR/H392fnzp0yXK5MwtLpdJLCosyRsdvt9PX1ceLECU6fPs3c3Bxbt25l5cqVTpGhxU6IFbZZYGAgOTk57Ny5U1I3U1JSCA4OxsfHB6PRyNjYGL29vbS3t9PW1kZPTw9dXV0cPHiQ5uZm7HY7b775ptPl+mlgwXZiV8t627ZtxMbGUlFRQX19PQMDA5I7FhoaSlpaGnl5eQQGBlJfX8/x48elNENiYqLkJC40CfhxISaz8oAQh4vyPU8CrVYruWkCvr6++Pn5OUlqeKLBMJ/xqvRweMq4LSSUWahBQUFs3ryZ1NRU4uPj+fu//3tu3LiBWq2mrKxMHlwLyZ9UrsHS0lJ++MMfcujQIXkgHj9+nAsXLkgNPz8/P/R6PSEhIezZs4ecnBxu3LjBkSNHsFqtBAYGkpGRQWJiosfoD34diHESElKXL1/mk08+keVzwZGUtmvXLtasWeMUpnQnjEYjDQ0NXLp0iSNHjlBXV0dJSQlarZaNGzc6aUKLg0+su/nWX0FBAf/L//K/kJGRwX/9r/9VhqZNJhO1tbXcv3+fwsLCh9JonhaUl/WioiL+w3/4DwwMDBASEkJmZqaTXvbDMDMzI/mCJSUlvPDCCwQFBaHT6Zw0jd2dsa4cC9d9XHCUwRGuPX36NHfu3JF7SmRkJPv27ePVV1+VnnJPi8y5JhyGhobi7+/PwMAALS0tsgzufFDuV6IwyJ07d2SZZndH75RzJy4uji1bttDY2EhdXR0nTpxgcHCQxsZGvvOd7xAaGkpdXZ0scRwfH09mZqaT8g44EtPOnj3LJ598Ql9fHykpKZSWlsoiTGKMF5uWpXzOGRkZ/OAHP2BychK9Xi/Xlbh0zM7OMj09zejoKJ2dndTW1nL9+nWuXLnCvXv3OHjwIGFhYezYsUPSJp5GueYFW8mi8+Lm4e/vz6pVqygsLKSpqYne3l6sVqtMHFmzZg1+fn7U19fz+9//njNnzgAOvcOYmBhptbtz8rpKgBmNRnkIisQtZfhnPoPuUZ/Z399Pc3OzLDUbGhpKXl4eCQkJThJHnmC8unqEBJdTidbWVsbHxwkJCUGv13vUJusKpTTI111USq6Q8K6IzOHbt29LD5dSp3MhvepCH3Bubo6oqCi+853vkJ6ezsWLF6mpqXEqhBEYGEhiYiLR0dEkJyeza9cuIiIi5DoFB12guLiY1NRUpz57wnx8Uih1Nz/66CNOnjzpNBa5ubm8/fbbFBcXy9+5o2qRcpOfmZmhpqaGgwcPcu7cOcAhYxYWFobFYmHNmjWPnZw0NTVFQEAAYWFhvPzyyzQ2NvLBBx/Q2dmJzWZjYGCAEydOEBUVxZYtWxY01K5cb1FRUdLbq4TZbJaeOmVmuq+vL1VVVTIpJjw8nDVr1vDqq68SGxuL1Wp18lq523hVJq2I/Ub8FGM3ODjI0aNHuXDhgrxQBQYGSmk+ESXyxIic8nwyGo1MTU3Jc7C7u9uJLmg0GmUyocjrEH8/OTmJ0WjEYrF84335aUFcDlUqFfHx8ezYsYOmpiba29tlxKKpqYnx8XHS09Od5PYCAwNlxTdRprmvr4/jx4/z3nvvUVVVRVhYGK+99hrFxcUPJNAuNpT7h5+fn9Oe/yisWrWK9evXo9fraWhoYHBwkIaGBqqqqmSeBHi48Sq/wGWzEFmyGRkZMmQnvD7gEJq+desW4OC/pqamEhcXJ41Xd3s/BIQhOZ+24pN8hpJs39nZycWLF2lvbyc0NJTdu3fzwgsvOE0cT+m/0mjx8fEhLS2NxMREurq6ZBtv3rzJxx9/zEsvvSQXriclFyjxtI0w5cIMDg6WlJfFFpwWm75YS0lJSWzatInGxkYp8yaoO2lpaURFRaFWqwkODqa7u9vpAhYSEkJRUdFjVY7zVLiut8OHD3P69Gna29ulUeDr6+tUqtPdpVMFxPwU4XFwGDq//vWvmZmZISIigoKCAjnmj5rPgsMLDvmtH/zgB5jNZv7xH/8Rm83G9PQ0ly5dIjk5mbVr18rLs7sglB/EfqvValGpVIyNjdHQ0CDpHtnZ2eTk5MhDUlSn8kQoHTwiGdRisfD+++/zz//8z9JrBw6jYPfu3U6GvTsuU08CnU6HXq93OieUa8g1EVm8b2ZmRuplj46OotPp5Di6e68R576Pjw/5+fns378fq9UqKUeDg4P85je/ISAgQEYCwGG4379/H6PRSEtLCxUVFVRWVnLp0iWp5LJ//35+9KMfkZaW5sQ5XQpQ7qtms5nOzk6pLx4REUF0dLRTtO5pnLULvhuLRgo+lpjA4qBwzUIbHByUnNjQ0FBKS0tZvXq1JAy78wamXHihoaFs2rTJSfTbZrNx5coVUlNTiYmJmZeE7wpXrbeOjg7AEbYUWn/idU+4fQoo26LRaIiIiPj/s/ff4W1e+YEv/gEIorD33jtFUiRVKFK9y1Xu62TGjj0zSWYWm3o3d39z9+7uTXKf3Cd3b7JJNlnM7Mxmmj0uY3ts2ZZl9V6oSlGUSIqkRIm99waA4O8P6By9gChZskjiBY3P8+ihSADkOe9p3/OtREZGutRT7+3tpaWlxSVwyxO5Tu/HXCVRVmptRQCY1WqVc7azs1NWmAsICHA5dBZCa6kUzLVaLYmJiSQmJspo7Pu1o6+vzyVjRHh4OAUFBSQlJcmLl7dU1RKI+edwODh58iQffPCBDEqzWq0YjUZefvllnnnmGTm/PZkpQ7neQ0NDKSkpYevWrdjtdtra2qRmvKenR0b1wt1AHqGtFIigIaW5WaNxVrKKioqSWkoRNf1Vqf7mGpGfVaxL9/SB7nvH9PS0LJur1+spKCggJydHame9oXiGuyKgpqaGqqoq+XpISAirV69mx44dhIWFMTU1hV6v9/hlyh13jXJGRgZr166lurqalpYWpqenqa6uprKykrKyMinMiET94pw7deoUX3zxhcwJOzU1JTWwnsZ9rJYvX47JZKK0tJRLly7JQFdlWjC73c61a9f4yU9+gslk4vbt29TX18sI/piYGF599VV+7/d+jyVLlgB3c76rhampKWldFmtLCKyiit/g4CC1tbUcPHiQ48ePMzo6ikajobi4mDVr1sgCP3OV9mvBZv/90gwpI2lF1RSDwcDk5CRhYWGsWbOGVatWyUpVD0pXNN8oD4awsDB27tzJ8PCwvPkPDg7yzjvvoNVq+d73vkdISIj0g53tluw+iCMjI3KBxsXFyRKlgKxzrKYJLQ4Ym80ma68rNXXBwcFERka6BEOpqf3Km61SAH0YLawyqbT7hcLPz08e+n19fZw8eZKjR48CTj9DZeWfhZ7LynYrx0XpE6nRaJicnJS+ZgK9Xu+SCk5ZGUntiLnq7+/P5OQklZWVfPrpp5w9e9blUFy9ejXf//73Wb16tYuA7kmEAKbT6ViyZAmvvvoqGo2G9957T74nLCyMwcFBJicnZSniBwU4KV2QBgcHOXHiBNXV1S4Hc3x8PCkpKbL/C5WW6KtcFJRaHiHsiiIoCQkJJCQkyKpHnh67h0G5f1y5ckW6jYHTjaK8vJyNGzfKuA+leV2NiPMuKCiIbdu20dPTQ39/P2fPnuXDDz+UF6qysjIAF+vluXPn+PWvf83evXulAGgymYiJiSE2NnbBL/7uuP/NkJAQmQ2jvr6e/fv3ExwczLlz51xcXbq6uvjkk0/k53Q6HYGBgeTm5vKd73yH1157jbCwsDmNxp8LxDwzGAwPXJdDQ0NUVVXx7rvv8tlnn8nqfwUFBVRUVFBYWOjiXulVwqsSsXEqb1yTk5McPXrUxU8kLy+PJUuWSA2mska0JxELLSIigk2bNtHS0sKuXbtoaGjg4sWLpKWlsXHjRkpLS12KGCgRKYZMJhOjo6McO3aMvXv3utStVpbOVcOt0x3RppaWFq5cueISqa3X6zGZTJhMpllNQ55GGT09OjpKTU0Ng4ODREVFkZycTHh4uIs/mjA9inQfIkWWSJ3ijkbjrMR0+vRpPvroI7q6uli1ahV/8Ad/4JKoeiHT9oiLlLgwKg9Bh8MhNbH+/v709vZSU1PjEmAxOTmpynn4MCh9rOrq6vj5z3/O3r17XQT2devW8frrr0s/V/ecy57C/TJVWFjIwMAAZ8+epaGhAZ1OR3NzM7/61a84efIkBQUFlJeXP7AohsPh4NSpUzK37bVr11zWryjCoozwVuPYuwejKYPL1NheJUoT9MTEBIcPH+a9997j0qVL8j2FhYW8/vrrskofqN9dQHlGGwwGnn/+eTo7O7l69So9PT0cOHCAiIgI+vv7ycnJITw8nJ6eHo4cOcKnn37KiRMn6OrqYmZmhtDQUCoqKnjyyScpKSmRqabmOuH9o+Kews5oNJKXl0dISAg7duzg6tWr/OQnP+Hw4cMun4uKimLFihWkpaWRnZ3NihUrWLZsmTzr1XQpmZ6eloFyDzqnLly4wLFjxzhx4gSnTp2SZ0Z+fj6vvPIK69atk3NW9UUKvgqxGSt9Xrq7u/nyyy/Zv38/k5OTFBUVsWrVKpd8hWq5jShv85mZmTz11FO0tbVJ82N3dze3b98mPz8fo9EoXSZEn4W2QAg9zc3N/OY3v+Hzzz/HarVSXl4uA9gEnq5ZLRAHgpiMfX19HD161KWcJjhNsB0dHQwMDLhoY9VyoCjbcenSJT7++GPGx8fZvHkzhYWFLq4cGs2Dc3sKYVar1TI+Ps7IyAj9/f1UVVXx8ccfc/XqVdLS0njzzTd59tln0Wg0UlO0kHP6Qf0QrhPi4GltbeXEiRM0NTXJ93iius3jIsxvIt1MTU0Nb731Frt27WJwcFCawBITE3n55Zd57rnnZJJxtWjtlL6Roi+FhYW8/PLLDA0NcebMGU6fPs2lS5dISEhg5cqVdHR0sHTpUln1R6zBgIAAHA4HV69eZe/evZw4cYLGxkYX1x5wCiBRUVFER0e7uBeoDZFjWLRNTa5VD4NQYoiL7ttvvy33nOjoaMrKyti6dSuhoaHy4ql24VUZYBgQEEB4eDhPPfUUFy9e5KOPPuLGjRv85je/4datWyxbtoyEhAQ6Ojr48MMPpfIqOjqa5ORkiouLZcJ7IeDNRbDP46K8UCoze4j4lKKiIurr6zl9+rRUSOn1elatWsXGjRuJjIwkOztb+tVbrdavPGcWCnFh9/PzkzLI9PQ0IyMjMg+9n58fNpuN+vp6Pv30U37729/Ky29iYiK5ubls27aNnTt3kpWVdY+wPxd4dHdWChA3btzg8uXLMm9qVlYW+fn5LrlC1aB1FYi26/V6kpKSWL58OVeuXKGmpoaenh6ampoYGBggPj5e3qxnS648Pj5OdXU1VVVVjI2NERERwfbt2+WGJTYytRykQmMubmI1NTXs2rWLpqYm6ScnzD3CT+brBrTNB8rnOTMzQ1NTE1988QUffPABoaGhFBYWPpJpamZmhurqavr7+9Hr9TQ3N3P27FnpStLf309ubi7PP/88W7Zskb9Pbb6i7sGDDQ0NnDt3jpaWFrRaLaGhoaSlpbmkelFT+++HsojCyMgIb731Fj/96U+lX73D4SAmJoZt27axZs0amTVDJCRXEyLYz2q1Eh4ezhtvvIFGo6G5uZnOzk4mJydpbW2lt7eXCxcuEBISIitQiecg3K9GRkYYGBhgeHjYJbBEkJ2dzYsvvsiWLVswGo2qEBhmQym8Kv11wfN7zVehFFa6urro7e2VbQ4JCaGsrIzly5e75Mf0hjUnEEF+Go2GvLw8/uiP/gitVstvfvMbbty4wcjICOfPn8fPz08WIgBnZP7q1avZuXMn5eXlJCUlucSPqOUsdMd9fWRkZFBUVMT58+ddrM23bt2ioaGB1tZW9Ho9RUVFMgDR0yiD0JX9aWhooLa2lrGxMex2O/39/Vy/fp26ujqamprk2KWkpPDSSy/x1FNPUVRURGRkpDxT5nr/8JjbgHLhdnZ2UldX51I/XeQ8VcOAzoZygxTuA4ODg3R3d1NfX8++ffuIiYlh8+bNJCQkuGhRxeLr7u7m6NGjfPbZZzIyr6CggFWrVpGdnQ3cdWZXE2IS2mw2qqurZRk/QAquFRUVbNmyhdLSUlVdQJR+rVarlba2NqqqqmQ9bVGBKi8vj8TERAICArDZbPT398sqWgMDA7S3tzM5OUlPTw9VVVV0dXWh1+sZHByUVWHi4+PZuHEjTz/9NGvXrpWBTuD55+COUuva29vL7du35YZkMBjIysoiOzvbxZVFrWvTHXFZbG5u5syZM1JwFYfrxo0befPNN2XFI1CvaVa4soCzjc888ww9PT2cPHmS3t5eOY9FidWHxd/fn+DgYEJDQ2VxgG3btsm1K4RfNaAUSkdHR+nq6mJiYgI/Pz9ZXlYkURfvV9tcFTldNRoNDQ0NfPjhhy7uAuHh4VRUVFBUVOTiEqF2gVyJeP6iqtm6detkAOjp06dpaWlx8e8NCwsjLy+PsrIytmzZwurVq2WWGrjrNqi2sRTrQhQyEeb25cuX89prr6HVaqmsrMRms1FbW8v4+Dg6nQ6bzUZbWxsZGRku8oGn5quyKAI45bIrV67Q2NhIX18fvb29dHZ2Mjw8TFdXF1euXJFpFGNiYigvL2f9+vVs2LCB5cuX36OZnms8KryK//f399PV1eWSAkYEVygPebVNWrhbzzcyMhKr1cqVK1fYtWsXR48eZXx8nLa2Nl599VWZXmhwcJChoSEGBwc5f/4877zzjsxpm5eXx9q1a118ItWG8DVyOBw0NDRw6dIll+TuACtWrOCHP/yhrASjnLiePgCVc0ikiBKBEABffvklR48eJTU1lVWrVhEfH09fX580n0dGRtLa2kplZSUTExMYDAbpFgLOILX4+HjS0tJYt24dO3fupKCgQLqLqHEOC0Taq4GBAUZHR+VBaTAYWLJkCUuWLFFl5ovZcHdvaW5u5tChQzLCF5ybalZWFk8//bSs+uMJd45HRZm2KjY2lh/+8IcyyreyspL6+nra29vp7e2dVavqjl6vJyMjg5ycHJYsWcKGDRsoKytzyd2sJmFe6YcsNEB9fX2YTCb6+/vp7OyUFi9Qp/AqhLDBwUEOHjzIz372M1kkApxjkpKSQnJystw7PJ2k/+si9gxRoCU0NJTMzEw++eQTamtrCQwMpKCggLy8PFasWMETTzwhlTdKwUetGleB0j0pODiYJUuWEBkZKVN8NTc3ExkZSVJSEikpKeTn55OXl+eiEBC/xxMoL0adnZ188skn/PSnP+XatWskJycTGBgoA9OVuZbj4+N5/vnn+da3vkVpaek97mXztZeqYjYIs5bosHB+LioqIiAgQN761bhwlTfBoqIifvCDHxAZGcm+ffs4ffo0t27doqamhldeeYXy8nKuXLnCBx98wI0bN+jt7ZW3baPRSHl5OZs2bXIpG6jGBSsm+fDwsExnAs5a6EuXLpV+PaKEqPiMGsZP2QZ/f3+ysrJ46aWXMBgMVFZW0tPTg91up729nffff5/x8XF5uzSZTDIIRtR8Tk5OlhkErFYrcXFxFBYWkpycTEZGhkt1H7WiHJvp6WlGR0eZnJyUm5PRaGTt2rWsXbsWg8Egg93Upj1W4u7ecuTIEX75y19y69Yt/P39sdlsREZGsnnzZpYtWyY/9zCZJtSCMj92fn4+QUFBrFixgs7OTlnBcHBwkIsXL9LT00Nqaiomk4nW1lbsdjvR0dGEhYURExNDamoqSUlJxMfHk5mZ6ZLGSG0uLkrhdWJigr6+PvkzEU+gVg2lWDsix/mpU6f4/PPP5eVYzM3x8XEXn0O1um08LMJsHhwczMqVK4mIiGD58uV0d3cTEBBAbGws4eHhxMXFyZzYcHf+qXmvcUd50YuNjeX5558nOztbprOLjo6W/uRRUVELGrQ7G2JuCffGqqoqvvjiC3bv3i3lExHPI9Bqtaxbt47y8nKWLFlCcXGxzCgASHfB+dw7PJptQJjARD5QYVIoLCykrKxMpuWx2Wyq8QlxRxlMERgYyBNPPEFSUhLR0dEcOXKEW7du8fHHH1NXV8emTZvo7u7m008/lbXjw8LCZOWibdu2UVxcLP171CLwuSP8YSIjI8nPz6euro7ly5fzp3/6p2zcuFG+b3JyUrp+qK0fYsGGh4ezfft2kpKSKCkpobOzE5PJRFdXF6dPn6a+vl4KqRERERiNRmJjY0lKSpIbUWlpKQkJCUxNTckABYHIUuCekFtNKOeZ3W5ndHSUqakpadqKjo6muLhYmpAnJyfv0RaoCTE/DQYDVquVs2fPsmvXLi5fvuzyvszMTJ544gnS09PlM1Cbn+v90Gg0UrARWv/k5GSSk5MBp1Cn1+sZGRlh//79NDc3U1RURFBQEHV1ddjtdnJzc0lPTycmJsblogmuqcXUhvsFVAS+6vV6EhISXLSu7u9XE01NTezdu5cLFy7I+SfOuuLiYqKjo12yYXgzyjPA39+fvLw8FzcdJcLvUqQc9DaU5nKNRkN6evpDV6jyBEqXoPHxcS5cuMAXX3zholgTVvCgoCDp3rF9+3aeeOIJuefAXTfHhVC6eUR4VUazTU9PU1NTw9GjR+nt7SU1NZV169a5aKzU6OfijrJ9ubm5vPbaa6xdu5ba2loOHz7MiRMnOH/+PMnJyRQVFQHOzba0tJTy8nLS09NJTEx0yQGq1j6LdiUlJfHHf/zHvPLKK4SHh5Obm3vP+9QqgCsFSb1eT2FhIYmJiVJom5iY4JVXXmF4eBidTkdQUJC8QAUEBBASEoJOp8Pf398loGI2lJc1NaLU6kxOTtLU1ERLSwsGg4GJiQkSExNdfLLUKoQLpqampEBz7do1/uEf/oFPP/0UuJs0XKPRUFhYyIoVK2Q1HG8SXgXKQhtKxHiFhYWxdetWxsbGCAsLQ6fTkZOTI7Vg7kKr8veqdc66V6/LysoiJSWFuLg4lwpwogCMGvrgHnjb2trKoUOHOHPmjCyZKgTVF198ke9+97supYm9SfP4IIRA96AxEQFDap1/D4syFZqaUT5jnU5HTEwMhYWFjI+P09XVRVhYGCtWrGD16tXk5uYSHh5OUFAQMTExLnm/ldaPhTgjPKp5Ff8fGBiQjtuRkZEkJia63LjUPvjgWsAAnNrjwsJC1qxZQ2lpKWlpaZw/f56CggKefvppgoODmZycJDs7W1bVEKh90Yq2mUwm8vPzyc/Pl6+Nj4/LBOnecGsWVXh0Ot09NdUf9rYsUmUJYV2Znskb5q4wzYEz9dlHH33E7t27AeetW5k8G9S/HpUb5/nz5zl8+DAOhwOj0cjMzAwGg4HNmzfz1FNPSX9n4bvsbSgFbjEPxc+V1gWlNUCZl1hUyhF7jjAfqnmMlW2LioqSmVlCQ0NdXEDUhHuqoLa2Ns6ePcvFixdxOByEhYURHx/P0qVL+c53vsO2bds83OL5QfTfvQKcsEypfe49Cu6FNJSCu4gdUYM7pPJ5BwQEsHLlSqKioigvL6exsRGDwUBFRQUbNmy4p2qoyA/u5+e34LECHs3zCnfLVaalpVFTU8P4+Pg9OQe9CffkyeHh4WzYsIFly5bJAJ+goCDphD+bWc7Tk/lxUHOGiNmYi83D3bzqbaY+pdA2Pj7uUlNd+EEqNXRq7ZfS9O9wOGhqauLGjRtS8Lbb7QQFBVFRUcEPfvADNm/e7PI5bz80lZq9h7V6KNPGie/Vzmz7a0VFhbSKCNSsRTeZTAQFBREQEIDVauXJJ5/kueeeo6ioyMXnc7EiShQr5503zL2vw2z5W5V5iT2NuxtOamoqiYmJrFq1yiXeYzZllNhvPdEPjwivSgFPq9WSnp5OTk6OjLYMDQ11Sa/kTSh9B4Xfjr+/PxEREff9jKjb7C2aOoG4dYkUJkaj0avaL3AfM6G1EmlPxE1ZbLDu37s7pathQ3oUlId8VFQU3/ve96ipqSEmJoaMjAyWLFniopX2hjEWwqhOp5Mlbo1GIzt27ODf/Jt/w8aNG6Um9n7lm70NdwFA6XsncviKuS3MmWo6RL8OGo0Go9Hook1WVs9TC+5jk5SUxHPPPSfT561cuZJVq1bJc09ZkGIxspiFVXe8ra/iYuF++ZuenmZqakruHcIP1lN985jmVfn/xMREli9fTn9/P2lpaRQWFrqYudTuYzcb7puOODBmSzGkZg3Bg/iq+unehvuYeYPbw1ygnH/x8fH88Ic/fOD71Sq8KoMn/f39SU5OZsmSJeTm5lJfX8+mTZt488032bx5M3q9Xgo5i0FwfRDu1iC1jt/joNTgqVHgcz/gIyIi2LJlC1u2bHH5+cNU9PPhYyFQZuwQyoD7+ch7Ao9pXgVCeH322WcpLS0lODiYvLy8RSU4KP17hDZI4OkazT58CJQVtmZD7b7YAmXS8NWrV/Of//N/ZmBggPT0dJYvX+7iI+rD+1GmWlRbWq9HRVixfGeCD08h4jbEPyG4qu3S+8jCq9lsno92qIbF3j9Y/H1c7P0DXx+/DhcuXODDDz+c09/5OPjG0PtZ7P0DXx8XA4uxf77rnQ8fPnz48OHDhw+vQaPWSiQ+fPjw4cOHDx8+fLjj07z68OHDhw8fPnz48Bp8wqsPHz58+PDhw4cPr8EnvPrw4cOHDx8+fPjwGjyWEM9sNmuA7wB/CBQAfkA98HPgf1gsFu+r1TgLZrM5Cfhr4AkgEugAPgH+ymKxDHiwaY+N2Wx+GdgAlADFQDDwa4vF8pon2zWXmM3mZuB+JW+6LBZL3AI2Z85Z7OvQbDa/ibMvD8JhsVjUlQfmETGbzf8vsALIAaKACeAWzr3mXywWS5/nWjc/mM3m14Ff3fn2DywWy//yZHsel8W+FpWYzeZ1wJ8Bq4EIoB+4AvyjxWL5woNNmxMWc//UciZ6MpvzL4HXgW7gfWAM2Ar8E7DebDa/YrFYvDqazGw2ZwKngBhgF1AHlAF/CjxhNpvXePmh8p9wCq2jQCuQ59nmzBtDwD/O8vPRBW7HfLDY12EV8Ff3eW0dsBnYs2CtmT/+HLgI7Mc5loFAOfCXwB+azeZyi8XS4rnmzS1mszkZ+GecazDIw82ZKxb7WgTAbDb/J+D/BnqBz3EqdKKAUmAj4O3C3aLu3x08fiZ6RHg1m83P41ykN4Eyi8XSe+fn/sBvgJeAN4BfeKJ9c4gFp+D6JxaL5Z/FD81m83/Dedj8DfADD7VtLvhznEJrI04N7GHPNmfeGLRYLH/p6UbMNd+EdWixWKpwCrD3YDabT9/5708Wqj3zSIjFYpl0/6HZbP4b4D8C/wewKJI93tFQ/hzoA34L/IVnW/T4fBPWIoDZbH4Fp2B3AHjRYrGMuL3u1aXFFnv/FHj8TPSUz+uLd77+vVikABaLxQb85zvf/vGCt2oOMZvNGcB2oBn4H24v/184b9Wvm83mwAVu2pxhsVgOWyyWhsWgDfiGsujX4f0wm82FODWTbcBuDzfnsZlNcL3Db+58zV6otiwAf4JTY/4dnPvoYmDRr0Wz2awF/l9gHPiWu2AHsr9eyWLvn9rwlNuA8Im4Mctr4mfLzGZzmMViGVyYJs05m+983WexWFzqUFoslhGz2XwSp3BbDhxc6Mb5eCQMZrP5NSAF52FZDRxbBD5o34R1eD++f+frvy6CcXwQz975Wu3RVswRZrM5H/hb4J8sFssxs9m8+as+4yV8E9biaiAd+BAYMJvNTwOFwCRw1mKxnH7Qh72Axd4/JR4/Ez0lvIqbZfosr2Uo/p8HnJn/5swLuXe+Xr/P6w04hdccfMKr2okD3nL72U2z2fwdi8Vy1BMNmiO+CevwHsxmswl4DXAAXh3k447ZbP4LnD6goTgDuNbiPFj+1pPtmgvMZrMO5zq8jdMVYjHxTViLK+987cLpn12kfNFsNh8DXrZYLD0L3bA5YrH3T4nHz0RPuQ18fufr/2Y2myPED+9sTsrgivAFbdXcEnrn69B9Xhc/D5v/pvh4DH4ObMG5WANxbkj/E0gD9pjN5mLPNe2x+Sasw9n4NzjX3Z7FFMR0h7/A6Zb0ZzgF1y+B7YvkwPwvOINe3rRYLBOebswc801YizF3vv4AMOEMRgvGqZ3cC6wHPvBM0+aExd4/gSrORE9pXt/Dqfl4ErhmNps/xeknshXIxKmVzAYWszlPc+erz19UxVgsFvdI9RrgB2azeRT49zijuV9Y6HbNEd/UdfiHd77+T4+2Yh4QaWrMZnMsTjPm3wKXzGbzMxaL5aJHG/cYmM3mMpza1r9fZOZXwTdhLYp0dBqcGsjLd76/ajabX8BppdxgNpsrvHSMF3v/APWciR7RvN7xAd2JU0vQiTPK8rs4I9fX4owiBWfKEG9FaFZD7/N6iNv7fHgXP77zdb1HW/EYfEPWoQtms3kJTqGulcWRsmZWLBZLl8Vi+Rina1Ikd/Oheh0Kd4Hr3A1eWlR8Q9aiyGt+QyHYAXBHk773zrdlC9qquWOx9++rWNAz0WN5Xi0Wix34+zv/JHf80UpwJtm+uvAtmzPq73zNuc/rIvr3fj6xPtSNOES8NlsEfCPWoTvflEAtACwWyy2z2XwNKDGbzVHKSHYvIoi7++ik2Txrxq+fms3mn+IM5PqzhWrYXPINWIviTBy8z+tC+DPNf1PmhcXev69iQc9ENZaHfR0wAr/x8rQSIufp9jspNCRmszkYWINzM/JW5/tvOhV3vs4WHbwYWCzrUGI2m404++UA/tXDzVlIEu589VZhfQrneM3279Kd95y4873XmmMfwGJZi8cAO5BtNpv1s7xeeOdr84K1aG5Z7P37Khb0TPRkedgQi8Uy7PazlTh9tEZxllT1WiwWS5PZbN6H02z373BWgxH8Fc7byf+0WCyLJU/hosNsNhcAHRaLpd/t56nAv9z59u0Fb9gcstjXoRuv4Ax4+XwxBWqZzeY8nEnDO91+rsWZMD0GOOWt5ajvmFx/f7bXzGbzX+IM4vrlIigPu6jXosVi6TWbze8D38YZfPefxGtms3kbsAOnG92Xnmnh47HY+wfqOhM9WR52v9lsnsDp7DuCs5bzUzhv2S9aLJbFoNEy4ywP+9/NZvMWoBZYBWzC6S7wf3qwbY/Nnaowz9/5VuQprDCbzb+48/9ei8XizdVvXgF+aDabD+OsfDOCM3jiaZyakC+Av/Nc8+aEb8I6FIhArcVQUUvJE8D/dycVTxNO/8hYnFXvMnD6UP6B55rn4yH5JqzF/w3nGfh/ms3m9cBZIBVngM808AdenMcWFn//VHMmetJt4EOcaSRewzngRThzLhZYLJa9D/qgt2CxWJpw5lr8Bc4J/e9xDvR/ByosFkvf/T/tFZTgLFn4Bs5bJTgPS/Gzlz3TrDnjMPAxztyL38I5TzfgNFG+ATxjsVisnmvenLDo1yHI5PZrWZyBWgdwCuSROCs1/e84y4n247TyFFgslmuea56Ph2TRr0WLxdKN8yz8ByCZu9XSdgPrLBaLV6eSWuz9Q0VnomZmxpepyYcPHz58+PDhw4d3oMaALR8+fPjw4cOHDx8+ZsUnvPrw4cOHDx8+fPjwGnzCqw8fPnz48OHDhw+vwSe8+vDhw4cPHz58+PAafMKrDx8+fPjw4cOHD6/BJ7z68OHDhw8fPnz48BoeukiB2Wz2+pxaFotFc7/XFnv/YPH3cTH0DxZ/H33zdHH3DxZ/HxdD/2Dx99E3Txdv/3yaVx8+fPjw4cOHDx9ewyOXh7VYLPPRjnnFbDY/9HsXe/9g8ffRG/sHi7+PvnnqymLvHyz+Pnpj/2Dx99E3T11ZjP17ZOHVx+Nht9ux2+34+fmh0+nQaDS4VznTaB5o6fDhw8dD4nA4mJqawmaz4efnh9FoxM/Pz9PN8uHDhw+vxuFwMD09jcPhwOFwMDMzI/8BUraZmZlBq9ViMBjQ6eZO5PSY8OpwOADQar9Zngs6ne6eAXQXVpWD78OzzMzM4HA40Gg08t9iQGw2X8VsffamZ6DVajGZTJhMJvmzmZkZr+qDDyfKw1Gj0Xjt2eF+yM+Gct15+1x1F2i8vT/fZMS5odVq5b+v+/nHnQceEV5nZmaw2WwA+Pv7e+0mNF/4hFf14HA4sFqtaLVa/P39F8WYiD7Z7XZ5mCgPUuX3SgsBeNdl0+FwzNpe3/ryTsS8BacSwJvmojs2mw273Q4w6/rz8/OT/7yd6elppqen5YXj6wg9PtSBzWbD4XDg7+//tbSoYt7r9Xr8/f0fqy0LLryKA8VgMCz0n14w3DU74nuHw0FHRwe9vb2EhYURHx+PVqvFZrPJDUz5bJQTxbfYFxahLfDz83PR2n0V09PTUihU6wGr1WoxGo1f+/NK7ZcaBUCxx2i1WkZHR6mvr6e9vZ2goCDy8/OJi4tzeZ83IUx0SjPd/XAXFtQ4Vg+DmGuzrUVv0qILYVWn02EwGBb1GQh3x2Y2a+Nc/g1hGVuItSwUb9PT0/Jy8ahry13zPjMzw/T0tMtadlcaeJLp6WlsNht6vd5lzo6OjjIwMMDo6Kh0hxQuWjMzM+h0OnnhNJlMZGRkEBsbK3+H6PPXnRsLLryqYTDmm9nMrHa7nebmZj766CMqKytZtmwZ27ZtQ6fTMTIygk6nw2azYTAYyMjIIC4uDj8/P6/anBcbX+e5i01UrYLdXKB2c+bU1JQUcpqbm/l//p//h9/+9rekpaXx93//97z44ov3vM9bUB7Ss/mXKbV4SuFVrWP1MHhz25Us5j1hNkRf5/OS6An3Efd19ahj6r5/uguyyjNEDczWnq6uLi5dusT58+dpbGxkYGCAkZERenp6GBgYYHp6mqCgIKanpxkYGCAlJQWz2cx3v/tdqXH1GrcBu90ubxJtbW1UVlZiNBopLS0lLi7uno4IU4NWq8XPz081A3k/ZrsBTk5OYjAY0Gg0dHZ28vbbb/PLX/6Szs5Obt68ybVr19BqtdIsLQ7T5cuX88wzz5Cbm4ter5e/X+3PYDEgbsHiNlhdXc358+eJiIhg2bJlJCYmSlOeckyUm44atXnKA6Szs5OjR4/S0NCAv78/er1e3oLFhclqtaLT6UhNTSU1NRWTyYS/vz9hYWFERUXJDUiN81L40wNMTExw/fp1wCnINjY2qlprPBtiTioPTDXOsblG7KlivTU0NFBZWcnExAQ5OTmUlpYSEhICIDVhasRms+Hv7y/b19HRwcmTJ2loaECj0WAymaRZ3d/fH5PJRFRUFKmpqcTFxREUFCTNtGrtoxJx1gOMj49z6NAhbt++TUJCAmlpaURFRREVFfVY1h9hfXCXDeZzPxL9ms3cPTk5KcdwtrYozwchEwgetJ49ub86HA5p4hdyyJdffklNTQ39/f00Nzdz7do1mpubGRoaeuDvGhwc5Ne//jWtra2EhIRQVlbGhg0bgK+vgV0w4XVycpKgoCDAuQn94z/+I9HR0fzwhz8kPj7+nkHyNn8fYdZSouxTW1sb7777Ls3NzYDzGVRVVc36u6qqqpiamuL1118nOTlZmirEBFIjDxv8o3ZEdLpYSIcPH+Zv/uZvyM3N5S/+4i+Ijo6W2jqlkCv6Zrfb5SamJrcBu90ufXYbGxv527/9Wzn/dDqdNGm6U1hYSHl5OWFhYeh0OhITE1mzZg2lpaWAOv1Hlc/cz8+P6OhoAEwmE9euXePgwYOsWbNGjqPa3QfEXILZ3QZmy1giPicu/2ru3/0QlygxTufPn+ev//qvaW9v5/nnn+f73/8+FRUV82aSniuU7Wtra2PPnj386Ec/4uLFi7O+39/fn/z8fNatW0d5eTlFRUWkp6d7jZuBuEhoNBomJyc5evQou3btIiYmhnXr1rFu3TpWrVolhddHWX9KIXBkZITx8XECAwMJCgqad22lTqeTc1IIzmKPf1RBXHnBFlH7anMb0Gq1TE9Py+9PnDjBf/2v/5XDhw/f8z5xOZtN0SjOlosXL3L8+HEAfv/3f5+VK1cSEBAg9zPVCq/KgWltbaWxsRF/f3+5IJUTWE0H4VchJp64jU1MTDA+Po5er3fph9VqZWBgQH6vnBTu3Lhxg1/96ldcuHCBjRs3sn79enJycuavE18ToRESfp7ufVKaN4Wfl9oPUXez7K1bt+jp6UGj0dDR0YHNZrvH1Cw2a5vNxueff87+/fuJi4tj+/btlJaWzjrHPYnNZqOnp0d+fz/BFaCmpobe3l6CgoKYmJggODiYW7du4efnx5IlS1QvOIiLhMlkQqfT8emnn2K1WsnIyCAjIwNwrs3H0QLNJ8o5MzIyQm1tLfX19TQ1NXH79m0mJyfR6/XygqvVauWeFB0dTUFBAUVFRWRkZBAVFaXqC7A77j69Y2NjtLa2MjExwalTp8jJySE8PJyCggKpOFDLGoO7GleNRoPVamXPnj3s3buXCxcuUFNT88DPVVdX097ezu3btxkfHyc2NlZqmUWqRbWek8p2+fv7ExkZydTUFGfPnsXPz4/MzEyXPedhFB9wN1JdjHVnZyfnzp3D4XBQUFDA0qVLHzsIaDYmJyfl/tDS0sI///M/U1dXR0lJCatXr6a4uJiEhISH/n09PT00NDRI61ZTUxMXLlxgcHAQm82GTqdjzZo17Ny5k4SEBJd0UwuBcg1NT09z5swZjh07xp49ezh58uQ97xdWkCVLlpCUlITJZHKxmHR1dVFZWcnBgwcZGxsDnBbNAwcOsGXLFgIDA79WO+f95BEPIjg4GHCaTM6cOUNPTw+rVq0iKioKwCX3KTg36rGxMQwGgzSbqAnlhBJBVzdu3ODKlSu0trYSFBREdna2vGEGBgaSk5MjBSGDweBy+9JqtS6BCfX19dTX19Pd3c3SpUtd3r9Qjulw70VC3JJEO4UzvrdoBR6EGE+j0YjdbufixYt0dHTg7+9PbGysvHkLxJiJHKJ+fn5UVlbyox/9iJiYGMLDw8nLy3NxUPfUwao0k4eFhbFy5Ura2toACAoKknNPaABEkODExASdnZ0uv2tkZAQ/Pz9ee+01CgsLAVdToadRPmOj0UhsbCzR0dHcvn0bgHPnzjE+Pi7f8yDh3VMoNUx2u53W1lbOnTvHyZMnqa6upra29p5xmY2SkhIKCwtZt24dTz/9NImJiYC6xut+KDXOAGlpaaxbt44jR47Q09PDuXPnKC4uZsmSJTIgVk3Cq3KvqKur4+233+ajjz6Sl3mTyYTBYJABu0FBQURFRcmLcm9vL/v27UOr1ZKcnMzWrVu9IuOJUrA2GAysWrWKs2fP8sknn9DV1SX7+6goLzNTU1NcunSJd955h56eHl588UWys7Px9/d/aGH4YVGe01arlatXr7Jnzx727dvHli1beOKJJ1i9ejVRUVEuedzFZ8VZ6XA46O/v59q1a1y5coXx8XE0Gg2XL1/m9OnTLn+zra2N/Px8YmNjpSvXQqB0v5mamqKhoYGPPvqIn/70pwwNDWE0GomJiUGj0RAVFUVubi6FhYWsXLmSkpISYmNj7/mdY2NjxMXF0d7eLvesqakpzp8/T0ZGhjxDxPn4sHNj3ncv4TMBzsbt27ePzz//HLvdTnh4OAEBAcDdW5XYrC5cuMD58+dJSEigoqKC1NRUuSmpZYNSCiONjY28//777N27l/r6esLCwti+fTsGg4Hy8nIiIiJYuXIlzc3NdHd3Mzk5CdzV3Or1epeJLtDpdBiNxntU+PPN/UyRwKztXAwINwDho3zgwAHOnz+PVqslPj6esLAwlz67LzKtVivnb3d3t9yoBcpNcKFRtjsqKorNmzfT2dnJ2bNnGR0dlcn7RYYLuDcdkZgTbW1tvPPOO+Tl5blsPGoRhpTtiI2N5amnnsJgMLBnzx66urrQ6XRMTEzI96hhL3FHuHkA9PX18cEHH/Db3/6WmzdvMj4+7tL+B1FXV8fly5dpbGwkKSlJCq+enIsPi7vwmpmZyYYNG2hsbOTGjRsMDw/f42eoJsT4DQ8Pc+nSJWpqauSeGhAQQHh4ODExMUxMTKDRaCgvL2fbtm0A7N+/nw8++IDBwUEOHTpEQkICoaGhlJaWSsuPGv3NwXVf9PPzIywsTLodKXNmPypCsLHb7dTW1nLq1Cn27NkDQEpKClNTU8DDa3IfFqViJiEhgT/+4z9Gr9eza9cu9uzZQ0NDAx9++KGLa49oh1LBJVzSxsbGGB4eZmpqCofDwfDw8D1/c2BggFu3blFYWEhkZKSLcmu+UArd4+PjXLhwgS+++ILPP/+coaEhdDodS5cuJS0tjaSkJFavXi39zk0m0301qIGBgaxcuZJjx45x6tQppqam5Lp9HBli3k8b5UM/f/48n3zyCUNDQ+zYsYNnn31WTgzxPkF/fz8XL17k2rVrBAQEEBcXh8lkkk78njxwlNopgKamJj766CM+/PBDrl69Cjgn34kTJyguLiY3N5fY2FhWrlzJxYsXpcYLnJqh6elpufDA9TAdHBzk+PHjxMXFkZqaKv/+fPn3iIoZ4obvcDjkTVloF8VlZHJykv7+frq6urh16xZ9fX3A3c0rICCAmZkZJicniY2Nvce8oraNV5hsAHp7ezlz5gyNjY0A0q9KudjExiTmQVtbm/SX1Wg0jI2NqUarp3zW4eHh0udz6dKlHDt2jLq6OsB54AYHBzM8PCwvWIKQkBBmZmYYHh6mpaWF+vp6+vv7iYiIUJVlRDlGERERbNy4kdDQUOx2O7t27cJqtXLp0iVycnIIDQ2VJkE1CQNK4XVkZISTJ09y5swZl/cYjUaSk5OJjY2Vh93U1JTsj5+fH0NDQ8zMzHDp0iUOHDhARkYGOTk5XhMIqmxbYGAg4eHhco2GhIQQHBw8q++5mhDaLGF9DAwMZNWqVaxYsYKkpCTGx8fRarWUlJRQXl7OyMgI7e3tHDx4kMHBQUZGRmhubqalpYX8/HwXX201KhCUSp3p6Wnq6uq4du2ai8vVo16elPN0aGiIuro66uvr5esi/+98IJ6xzWYjICCAJ598kuDgYAICAjhw4ACNjY3ynPi6BAUFERAQwMjIiAz0Hh8fd9mD5zu+QKwhu93OhQsXeOedd/j444/p6uoCYM2aNezYsYOcnBySkpIoKiqSyke4m1JLnIuTk5PS6h4TE0N2djZxcXHcunWL6elpQkJCXD7/qP2aN+FVPGjxQLq6ujhz5gxNTU1UVFTwl3/5l5SVlUm/SRHxLIiJiSEsLExO/E2bNn3tiT8fiH7V1NTw4Ycf8tFHH7ksJnDmQWtubqavr4+srCyKiopYtWoVfX19NDY2MjU1dY9wI5zchQBUVVXF5OQkKSkpUngVwVvzMYlFcMfIyAgOh4PAwEAXs7egs7OTixcvcvnyZaqqqjh79izNzc1SmJuZmcFkMsnfU1ZWxg9/+EOeeOIJeQlRG+JAHxoaorq6mhs3bgBOgS4uLo7IyEgXTZAykf/4+DjXrl2jqakJu92OyWRSVUS7uxCwdOlSiouLWbt2LX5+flJ4jYuLY9myZVJbNDg4KD83MTEh++zv709zczNVVVWsXr36awVfLAQ6nY6kpCSCgoIYGhri6tWrXL58mY8//piUlBS2b98utSJKfzpP4669CggIkO0UazImJoa1a9dSXFzM9evXOXToEFNTUwQGBtLb2+sydjMzM5w/f56lS5eSkpIiDw01acxnQym02O12FyFlcnKSqakpl/mmpn1FPNvw8HCWLl3K2rVrmZqaIiIigt/5nd/hhRdeIDw8nImJCel+pdFoGB0dxd/f/x63MvegHrWitGCNjY1x5swZKisrgbsKjUe1Iirn6dDQEI2NjXR0dADONZ6ZmTlnKZjuh3KdFBUV8Qd/8AekpKSwf/9+rl696qKAelREtgJhURGKlAdZ+uYK5Z5ttVq5cOECH3zwgXTz0Gg0FBQUsG7dOp599llyc3Nn3TPcg+yVmXcMBgMpKSlkZGRIX/2JiYnHkuXmXXgVD7ynp4ehoSGys7NZt24dy5Ytk6+LG6Sy43FxccTExFBZWUlra6uc7ELz6gmEWl20s7q6mvfee4+PP/5YHv5KLc7ExAQtLS10dHSQmZlJSkoK3/72tykrK2Pfvn18/PHH9Pb2ApCfn49Wq+X27dvSp1A8w+vXr1NdXc2OHTsIDQ2dF62riKA0Go1oNBrOnj1LV1cXzzzzjAwUsNlsNDQ0cP78eSorK6mqqqKuro7e3l78/f0JCQnBYDBgMpmw2WxycwFnEFptbS2lpaWkpaW5uCV4WsAT/n9+fn6Mjo7ywQcf8O6770p/V6ERyc/Pl4eKu4A2OTlJW1sb7e3tAPKyoQyQUYNQJ/oqNp/GxkbZZoCMjAy+/e1vExcXR2VlJSdPnqS+vp6bN29KLYDQwldVVXHgwAHS0tJk8JMn/XofhMlkkuZLh8PBoUOHWLNmDVu3bpVCoZo0Wcp2hISEsHr1ajo7O+nu7iY7O5tly5aRnp5OZmYmcXFxFBQUsGzZMkwmE319fXzxxRcyrZQQyoUVRZlTUs3CkPvlLyAggISEBOLj47l+/TqnT59m69atPPPMMwCqE+6U6yA7O5vXX3+dtWvXotfrKS0tJTw8HMAlAHR0dJSpqal75qHdbleF0uZhUPq8trW1cfPmTfna1w3aVQqvvb29UrkQEhIig5rF2Ttf54k4sxwOB8HBwZSXlxMfH8/y5ctpampieHhYniNDQ0MyKFa4fExNTTE5OUlgYCCBgYE0NTVx6NAhGhoapMVTEBQURGBg4D0WrfnomxiPvr4+aR3//PPP6e/vp6Kigq1bt5Kfn09OTg5ZWVmyTcK/V7jLuY+re7YEZWzMxMQEIyMjLgL/o1qB5lV4VR7yzc3NdHZ2kpiYSGZmpjSv3k/bERQUREhICBMTE/T397vcuD25QYmHe+PGDT744APef/99qaHT6XRMTU3J9g0MDHDjxg0aGxvJy8sjKiqK4uJiiouLSUtLY3x8nD179pCSksKzzz5LYGAgx48f5+TJkwwODsq/pdfruX79OpWVlaxZs0b6lsyllsvPz09Oyt7eXs6fP8/Q0BArV64kJCSE69evc/bsWS5evMjhw4epr6/HZrMRFBRESUkJFRUVZGVlodfrCQsLY3Jykt27d7N79255izx79iyFhYWkpaUBzInfy1ygbEdLSwu7d+/m0KFDAGRlZbFhwwYqKipkqrfZBLSxsTFu3bpFe3s7Go2GxMREEhISXIRXTwvp4Gq1OHHiBD/96U/Zt28fOp2O7Oxstm7dyo4dOwgJCWHVqlWUl5ezb98+PvjgA3lBCwgIYGxsjLq6Os6fP89LL7006+/3JO45Quvr6zl16pS8LFqtVlpbW+/xT1MLyjURHBzMxo0b0el0tLe3U1hYyObNm2WwK0B6ejrgvGDu2bMHg8Eg/ZgdDgd6vZ5ly5axbNkyeYCoYe09DKJiXVhYGMXFxTIoRMzB8fFxqdFT0xgqs5aYTCZKS0tlijm4a8kSAoC/vz9BQUGMjY25aKWMRiOJiYnEx8e7+F+q8ZIId10ArVYr7e3tjI6OytdEBaZH2SfcFVZTU1O0trYyNjZGWFgYFRUVVFRUYDQa590NRrlmTCYTeXl5ZGdnS3O/8NPu6+uTaTFzcnKIjo6WAltYWBhBQUHs2bOHCxcuyHPcz8+PwMBACgoK2LhxI8nJyS7C61z3S+l/PDMzQ3NzM5999hm/+MUvmJycJC8vj+9+97u88sorhIaGAq775FdVTlPmphbzQTyjsLAwYmNjXfxkVeM2oGRkZITKykoOHz5MSUmJ1O65I34mfC79/PyYmJiQVRtEWceFFgLE5BIDJRy0d+3a5SK4KoPOhJajqamJGzduMDQ0RGRkpGx7UVER3//+9ykvL5c+UDExMRQUFEjNkDCJTU9P09DQwOXLlyksLJQDPhdarpmZGRf/urq6Oj799FNu3rxJfHw8lZWV7N27l1OnTlFVVUV/fz8Oh4PU1FTy8/NZv3495eXlJCcnS5eDiIgIJiYmMBgMjI6OUlVVRWdnJ3v37iU3N5eKigqZe1MNAp1er8dms9HZ2UllZaXcdAB54RDthbvmI2Vk5tDQELW1tbS0tMj0MMHBwQti9nkYxKau1+uxWq1cu3aNzz//nDNnzkif5FdeeYVXX31Vatr1ej1r164lNDSU5uZmmpubpUuLoLu72yUoTS3Cg5jX4vnX1tayd+9ebt26Jd+jXD9qabdAua71ej3Z2dnyAAwNDZVaO3e++OIL/uVf/oXq6mrZf5vNRmZmJtu3b2f58uWAU3jX6/WqFYCUKC1eoqS2YGhoiGvXrrFixYp7TO1qR2j8rVari/KgpaWFy5cvMzg4iMFgYMuWLezcuZNVq1YRGBj4WEFPC4G4MPX19dHa2urivvJ1tOPufVVaP3U6HWlpacTHxwO4+HzPJ0ohWQSlKYmMjJTBkeK8DgwMlBfOoaEh2tvb6e/vB+7KPMXFxXz/+99n06ZNBAcHz2tqO3dB32q10tXVJS1sa9eupby8XAqu4jOCr5p/ynGzWq0MDw9L+SEnJ4f169eTnJz8tV225k14VTa8paWFS5cucePGDSoqKkhOTpY+V0rJX3yv1WoZGxujvb2d9vZ2DAYDt2/fJj8/3yPaAqVQ3dDQwG9+8xvef/99rl27BtwVZpRR2mJT6uvrY3R0VPZTRBiaTCbWrVvHypUrsVqtUmDYtm0bAwMD2O12Tp8+zejoqEyxcfv2bQYHB2XQ01wcuO7aiiNHjvDee++h0WiIj4/n888/p7OzE61WS2BgICUlJSxZsoS8vDzy8vJYtWrVrGmygoODWb9+PYODgwwODtLb28vk5CSXL1/m8uXLLkniPYXNZpNO+Hq9ntraWj755BMZUBcbG8vq1aspKSkhMDDwnkA5pd+Ww+GQeXz9/PxITk4mJSVFNZoSZYW7/v5+PvvsM3bt2kV/fz8ajYYlS5awceNGsrOzAaebj3ADKSwsZNOmTdTX13Px4kWXIIKRkRFaW1vlRqhW/8nZtAQixZ14LmoTYJUYDAaXNDTiQj0xMSEjly9dusQ//MM/cPToUZfPhoWFUVZWRkFBgfzZQmYueVyUh6TJZCI5OVl+f+PGDT799FOMRiOFhYX4+fnNa0Dr10HMLZETW/xMKESUaSTPnTvHoUOHOH36NMPDwyQlJbF06VKKioqk5UetQXbKYF+tVsutW7c4ffq0i/tYZmYmBQUFLpevhznPlZfMlpYWKRDn5+eTlJQk37dQa1h5BohzX/xMCGJCaJ2ZmZGWZp1Oh9VqpampidraWulaYDAYCAwMJDs7m82bN8szXqkYmI8+KOdRVFQUK1asoLe3l9jYWJlaT1w4lEHqD4NSmTc5OUlnZ6dU9kVFRVFUVAQ4zybVCK9CI6XVahkaGuL8+fO0traSkpLCxo0bycvLA5y3JGUCd2WqrMbGRqqqqqSGQPgCGQwGjwmvw8PDMrmuyCog8vQpb/zKhP2ZmZmkpqYSEhIiBW/lIWo0Gl1uigaDgZdeeomZmRkaGhqkycVms0lhPi8vT5oZHhetVis1j1euXOHChQvy74pNNyoqimeeeYZt27ZRVFQkSxber1SeGP/U1FSeeOIJWQMZnJq6qqoqcnJySElJcXm/pxFjOzY2Rk5ODs899xwvv/wy+fn5UptwP5T+PBqNhuzsbJYsWQLcTXLtac2roLOzk+PHj0s3gOLiYtatW+dyCChzK2s0GlavXk1dXR0NDQ0uxTbGxsaoqqqioKCAvLw8l4ucJ4V190tuWloaFRUVDA0NydQ03lp5SrleRkdHOXjwIMeOHePy5ctyXxJaPYCysjKeeuopF+uBN+VlVo6TRqOhqKiI9evXc+HCBS5fvozBYGDlypUuOYfVlg9Vma1FmMGVa7K7u5v/9b/+F//6r/9KV1eXdJMLDQ0lOTnZ5aKvhr1yNtwVIRcuXODAgQN0dnZiMBjIz89ny5YtrF+/Xlb1+ypllNJiNDMzQ11dHSdOnKCxsZGwsDBWr17tcplZ6Gdzv3LgyrknLvXKjBgDAwP09fXJgG33iluz/X+ucU+DGB8fz86dO1m5ciWhoaFkZ2cTEhLytTX9wvfZbrdTV1fHhQsXpDwzF3LcvAivSnNdVVUVu3btYmhoiI0bN1JWVibf535LEt8PDQ1x4sQJLl++TExMDJs3byYzM9Pj1WH0ej06nc4lwbm/v790OhY3aavVKlOfvPjii2zcuFFqVpWCq/viHRkZkSk4hLZPMDg4yPXr16mrq6OoqEgmL34clInKBwYGOHv2LFeuXGFycpLo6GiysrJITU2luLiYjRs3ulSLEthsNhlgIMyQ4+PjGAwG9Ho9sbGxhIWFYTQamZycZHx8nI6ODhc/KE8EyojqN/7+/gwODvLuu+/yySefyAogQUFBrF+/nhUrVshF7r5JKQX33t5eRkZG5PeRkZHy/+Jm6cnDVBzm4+PjXL9+3UUbsmzZMjZt2kRcXJxspzgsRdoW4e7xxRdfMDAwIC82ExMTNDQ0cOvWLXJzc2UAphq0mMrxCgkJIT4+3sUEptfr5XxWm7/kbAgtj3K9XL58mY8++ohDhw7JpOfKgibFxcX87u/+Ljt27JACgND6eXpOPizKNs7MzBAUFERkZCR6vZ6xsTG6u7vluhXvUSOiH+L5g/Pyd/78efbu3cu7777r4tYCTp/75cuXEx8fL7MtCKWBmsZOqXiyWq2cPn2ao0ePShestLQ0nn32WSm4wr2av9lQurQNDw9z4sQJTpw4ITPwxMbGuih/FvqZPOjvKYU+YeXx8/OjqamJw4cPc+HCBXlJsdlsMj2hyDiw0MHpQUFB5Ofnk5eX59Kvr3PBV8oWly5d4uc//zkHDhwAIDk5mby8PNm3r1IM3Y95tfFNT09z6tQp9u/fT1JSEps3b5a+KcB9I+n6+/upqamhq6tLRrsVFBS4RPt5osrUyMgI/f39LiY3kQNV5DYT7/X392fdunW8+eabJCUlzVr9xd2MKQQGq9VKdXW1y4Y8MTHB7du3aWtrY2RkhOjo6Dl9BkJtHxcXR0VFBStWrOCpp56ipKSEiIgIF7ONOPQ0Go0UAJUIwRXuVi9SVu3wtF/azMyMFF4B9u3bx1//9V9LDUFcXBzr16+nsLBQHvLKTVQg+iF8hUTUvnvmDE/iXpXt2rVrnDp1SmpP8/PzWbZsGcXFxQQHB0vBU6npEnM6KyuLZcuW0dXVJc1dDoeDsbExxsbGXIQGTwsQwkwr+nHr1i0qKytdcixPTEwwMTGhurRm90PMK7H/jIyMcOXKFQ4dOsTg4CBarZaAgAB5MUxMTKS0tJTY2FjGxsZc9htv6K9AKWRrNBpsNhvj4+PyOYSEhHhcsfGwCIEGnNHdZ86c4e233+bzzz9nbGxMlkwfHR1Fr9dLv3mxPyvzYqoJkb4RnBYsUd5cEBYWxubNm8nJyZFr82FcjJRnxcjICNXV1S4xCX19fbPmQlUD4uwQ575Wq+X69esy0FvkhhWBZgkJCaSlpUn3EE8FVD7uvqBUXgwNDbF3717efvttJicnycnJ4Xd/93fZuHGjPE+/bqnjORVelSp+cKZ4OnfuHCMjIzJPWGhoqDwwlAOj3JRDQkKk1lGv12M0Guc9h9v9+mOz2aR25tSpU/zkJz/h2rVr+Pv7uxQXEO0SPipxcXHk5uZKU6xy03JH5HsNDAxkaGiIjz/+mJ///Od0dHTIBaAUGOfqGSiff2hoKBs3bpSbS3x8PBkZGS4Cm3geQri5n+uCe/tEiqKxsTGPC65iIxGH/MmTJ/noo49k2bqQkBC+973v8Xu/93sueXWFtktcQgC5adrtdlk5Be4VDDwtKIiNZHBwkHPnznHw4EHa2tpIT0/n2WefZc2aNTLgwL2dygMmLi6ODRs2cPv2bY4cOQLc3XjUdGjAvYGIjY2NHD582CV4pLGxkVOnTrFu3TqplfQGlEnvIyIiZLvdA0u1Wi03b97kF7/4BYcPH2bFihXk5OQQHBxMdHS0tAapHeX60WicZSljYmLuec9s/1cLYoy0Wi2Dg4N8+eWX7N69m4aGBpqamuTeERgYiEajwWg0otPpqKqq4sc//jFbt25lw4YNMmgZcLmAexpx5o+OjnLmzBmOHz/uYt0RGRPgboqlR/WPn5ycZGRkRJ6xk5OTDA8Pz2uBgsfF4XAwPj4u/ZorKyv51a9+JQVXnU5HfHy8TMe4bt06l+CvhY4hEIKnkDceVXgW56Pdbqe3t5cTJ05w6NAhJicnCQ0N5emnn+bFF1+kqKgIjUbj4mL6qMzpk1H6GnV0dPDZZ59x6dIlkpKS2LFjh0yRBEjzh2j85OQkDoeDoKAggoKCiI+PJy4uDj8/P0ZGRqRJfSFz+bkLrzU1NZw9exZwqtjtdrtL7kuhZUxOTmbHjh0sXbpU/i6lqUhpohQCoPgboaGh1NbWcuzYMcAp+A0PD7scUHMVbKF0MDcajWRnZ8uAHYHVapUmIWV1rYfFZDKRlpZGcnIyHR0dUlPtKV9DZbni5uZmfvnLX3L06FHp1mCz2TAajTgcDrq6ujAajS6mZvcocHCas0SQHeCSSxNctdULjWjv5OQkNTU1VFZWUlNTAzhzTwrtunIjme3zgAwoUFpP7ufz5WncLwxBQUEkJiZis9mYnp5mcnKSGzducOzYMZKSkqTLg9qCfb6KsrIyXn/9dfbu3UtPT49LVTeRY9putxMWFkZtbS2ZmZmEhISwdu1aNm/ejE6nk+ZMNY4j4DIeWq2W/Px8KioqOHfuHMPDw3R3d9Pb26tqNwhlTMfo6Cj79u3j7bffBpz7iMlkYmJiwuVyBc4zp66uTpYVX7VqFZmZmbKqnadzZSvXy+DgICdOnODkyZN0dHTItEjJyclUVFRIoexRBG7lnOzv72dgYEAK+vHx8aSnp0tNpfv7PY2QVYTg2tDQwKeffioFV39/f2w2G1FRUTz//PNs375dXk6U7j0Lydf9eyLdpFLDfPLkSQ4ePMjVq1cJDAxk+/btPPnkk9KK/rjMi/AKzo3z448/prm5ma1bt8rIMnCtFiL8uJSRmFqtloSEBLKysmRScbEhL3QiauVDdtdCKtshtHHR0dHs2LGDN998kxUrVsj3znaDUQqwSgICAqQwpVTBW63WR86R9zA8aCIJk9WjTDZ314jU1FTS0tK4dOkSU1NTHjOHgKtZqa+vj9raWlnvXq/XMzw8zM9+9jOOHz9OVlYW27Zto7y8XObwDQoKuicVS11dHVevXpUaAOV89SRK7UZnZ6f0IwenJqSgoEBm8BBtftC4iPRvyvmnVm2l0gIEzrQvf/EXf8HBgwc5efIkN2/eZHBwkIaGBnp6esjNzQU8H2j2MCj7lZ+fz3/5L/+FDRs2sGvXLk6cOOFiVhXzcGhoiLNnz3L06FE0Gg1dXV1SaFc7Yu8Rwbvx8fFSi1xXV0dXVxe3b9+mt7dXulOpVYiFu0oRgXt1SXfsdjtnzpzh+vXrJCQk8NRTT/E7v/M7UtHgySppSv/r9vZ2vvzyS86ePSstkiEhIbz++uu88cYbLnEADyvAirVot9vp7Ozk9u3b8jVRIVCZ71hN2U5EQQJw5pn+b//tv0m/z+DgYBkjERUVRX5+votWXc3zdzaU++bY2BgHDhzgvffeo7GxkaGhITIzM9m4cSMrVqxwkSkeRw6Yc7cBwdTUlKyJ29HRwZUrV4iIiCA0NJSAgACX2xK4Rr/6+/uzdu1arl27xs2bN+no6JCpNRbavOeepkWgNB8Ls2lSUhLPPvssr732GqtWrZKDKbSNQrh3rzwhSq3a7XZGR0epr6+XwqvYsKempsjKyiI3N5eYmJg5D7gQZlZx2ImggK8zuZRt8vPzIzw8nPDwcLRaLVarVVbzUv5tTzAxMUFfXx+A1E6Jutl1dXWkpaXR19fH5cuX0Wq1TE1NER4eTkpKCklJSfj7+3Pz5k0OHz7skkIqLi7OZa54ym1Aeai1tLRw8uRJrl69itFopKKigmXLlkltyP00qMo5JlK+uJvp1CjAimcuNENpaWm8/PLL6PV6enp66OnpYXBwkMbGRpfsCeKyqPbDQ1w29Ho90dHRPP/884SFhZGbm0tTUxO9vb309vbS19cnqxt2d3fLzx85coSCggJiY2OlUKEmM/RsKPeM+Ph4IiIiAOf8u337Nrdu3SI8PFzVfQBkrIBAJO4PDw8nNzdXBtz5+fkxPDxMS0sLPT09jI6Ocvv2bfr6+hgbG+OVV15h+fLlHhXYlGt/cnKSqqoqmQ4JIDw8nFWrVklBe2hoyKUKpUCsN2WQk/szGh4eZmhoSP4sMjKS9PR0qcF0P1c9hVACKAXXH//4x3z44Ycyd68QXNPS0li/fr3MvCNy/qolZuKrED694tlPTExw+PBhvvzyS06fPg1AREQE69ato6ysTMpxSh/pr8ucznrlA4+Ojmb9+vV0dnbS1tbG7t276ezsJDIykuTkZMrKyu7xW1ISGBhISEgITU1NHD9+nM2bN7NkyRLa2toYHx8nPDyc0NDQed+olAtMqU0Tt3vlYsnJyeG1115j9erVwN1UYELgVi4ucUDabDaOHDnC3/3d31FTUyPziYpUVUIgSktLY+vWraxfv15u2rMFEX1d7hd89bg4HA5Zg1w8A/dNxlMbjnAJaGlpAe4199++fVvmvBUXlMDAQHJyckhLS2NsbEzmHBwaGpKa2eXLl89a1MCTdHV1UVdXJ6uiFRcXy5Rrgq/aMMVN2Vs2VncCAgKIj48nJSWFqqoqRkdHaW5udjHVeton+2ERKe4EOp2OTZs2sWLFCoaGhhgcHKSpqYnz589z7tw56uvr6ezslBq/27dvs2/fPlasWCH3q+npadULfgL3jBZdXV00NDSQmZkpD0i1pOCDey14sbGxpKWlyXGcnp5mzZo1PPXUU1Kxo9fruXr1Krt27ZKxIxqNhoaGBn76058yOTlJUFCQ1J574tKl/HvKQE5wus9t3LjRxV3QYDC4ZPj4qt8tNNLCtU6p5JqtJKkaUCoNbt68yT/+4z/y/vvvMzAwIJVS4Cwh/vrrr7Nz506Zw1kNZ8WjoHRbsdlsHDhwgLfffptLly7J91RUVPDcc8+5WHnmYp+Z0yelbFBycjI/+MEPyMzMpKqqCq1WS11dHf39/dhsNuLi4oiIiJC+lGIRi5Kxg4ODVFdX09XVxd69e2lvbyctLQ2j0UhcXBxlZWVUVFRIk4EazH0mk0kKluBUn+v1+nuE3Bs3btDW1iZv0l988YUcbOVBajAYpPklNTWVdevWuWwEarhlzoZyLKanp2lvb+f27dtYrVbS0tJITU31mJ+S8m+JsrwBAQF0d3dLLSwgTenuWsapqSnOnDlDZWWly8IV/8/JyWHTpk0uOVM9tSEpD4fR0VF5sOh0Okwm0z0339nmk/slwz0yVK1zUKBsnzhUlPXVrVari8nWG1JmKZmenpbWGVHpJywsjNTUVDIyMliyZAlr167l6tWrnD17lpqaGpmxpKamhkOHDpGQkEBqauqCVCZ6HNznWlBQEKGhoQwNDdHV1UVLS4tUbIBnUvDdD+UZEBISwnPPPUdBQYFUgszMzJCZmUleXp5MOajT6UhKSpLJ4a9evSp9Pvv7+9m1axcajYYXX3yRZcuWERAQsODn4NTUFDdv3qSmpoYvv/xSWjFCQkLYuXMnv/d7vyfz7wKPnNZqYmJCygXKlEqiSI67BdeTCK2xwWBgZmaGCxcu8Otf/5pPPvlEPhchI4WEhLBjxw5eeuklmQ9cmeVFrYi0j8LyLPK1jo+Pc/ToUT788EOOHz/O0NAQaWlplJeX88ILL7Bq1SqCg4NdAs8flzk9VcWDdzgcBAYGUl5eTlZWFleuXKG1tZWOjg5qa2tpaGigqqrK2YA7B/vU1JT0Z9VoNNJMMDExgc1m49SpU9y8eZOMjAz8/PzuiVxfiANnNq2M8rZrtVpdcn2KwgRjY2PSofnatWscO3aMhoYGurq6aG5u5vbt21I7K/yB4W4VnLi4OFavXk1hYaEsgaiMKlYbStOrzWbj1q1bXL9+HYfDQXx8PFlZWfcNgppvlIdZYmIir776Krm5udTV1XHz5k26urqYmpqSVWK6urpkoJly8xTCLSADgACZVUNZBU0NB6jIiAB3zf/KFDPi5w/aVISPunswmpp9DJV98vPzk0GWYuzEOAs8nRniUfHz85MuKkLwVqZVEod8WVkZ/v7+tLa2SrPurVu3uHTpEsuXLycmJkamYVKTxlKJe/Bgeno6SUlJDA0NMTQ0pIpsJvfD3f2svLyc8vLyr/xccnIy27ZtIyIigr1797Jv3z7GxsbQarU0NzfzzjvvkJqayooVK1zcZOYT5ZoaHx+nqqqKd955h2PHjkmzfmRkJHl5ebKq2/DwsKwIJ94jhHa9Xi+1z+Pj4zJwOyYmRgqn4mwVe1ZOTo5L7ndPBsUKhPDq5+dHe3s7b731Fj/72c8YHR3FZDLJbAkAJSUlrFmzRhZsul86Rk+hfJ7K2JzZZI6pqSmOHTvGz372M/bs2cPY2BhpaWns3LmTF198keXLl7uk/xI8bpnjeZF+lI2JioqivLxc5oIcHh6mr6+PkZERlwS9Su2cn58ft2/f5uzZswwMDFBcXMzLL79MSUkJBoOB0NBQEhMTXQSghdhslRqa2R64zWaTk1PkWrRarRw9epTjx4/T399Pd3c3LS0t9PX1MT4+zvj4uPT/EJuOKKcGzkX66quv8sILL5CSkiIr53h6oT4IpXAzPT1NT0+PTJsSFhZGTEwMJpPJI5Gyyo1dVH1JSkpi3bp1cjzsdjsBAQFoNBrq6uo4ffo0t2/fZnR0lOnpaaKjo4mJiZEBP42NjUxOTuLv709GRobUqIhiFWq9ZDxMNKtybGZzldFqtYSGhsqLmviMGuem0q/b01Ha84H7vqDUPOp0OgYGBmRtcYGot648NNWq/VG2y2QykZWVRXJyMteuXZPBiWpt+6OgHEOdTkdmZiZZWVmkp6czMTHBwYMH5Tkjym4r8zLPd9uU86q/v5+rV69SXV0ttYvCelpfX8+nn37K9PS0LMhTU1PD+fPnmZmZkdUpo6KiiI+PZ2RkhOvXrzM2NkZZWRlvvPGGdGnp6Ojgxo0bMoG/CPpREyJzR19fH8ePH+fs2bNSDggMDGRmZkae65GRkSQmJt6Te1ktKGN6hCA7W1U+m83G3r17ee+992R1Sp1Ox8aNG3nxxRdZtWrVrBYdEfyr0Wi+9rqdN+FVRFQKzYDJZHKJCnRHJOEH58M6e/YsHR0ddHZ2Eh8fzw9+8IMHfn6+UE6o0NBQAgMDZToa98XT2dnJ3r17aWpqYnx8XKYAO378OEePHnVxNlciBB3xf2WwT2ZmJs888wylpaXyZ2rUijwIkSUBICEhgcTERLRa7UOVB5xv9Ho9kZGRLpGwSvLz80lLS6OtrY3+/n7A6cIRExNDdXU1o6Oj3Lx5E0D6xApB4EG5fdWAMDkbjUZpGRAotXji56LAhHK8YmJiKCkpISsry+UAVYsQ4S5oBwUFERwc7BLFvFhQjovSfGy326msrOTs2bPcvn1b7jG5ubls2LCB/Px8mbf66yYMXwiU7dLpdISFhclLkwgkVEMg6MMgUrYp8fPzu6dylvLyu3btWkZGRjAYDBw8eJDu7m70ej3Xrl3j6NGjlJWVyQDM+VJuiAugmGsNDQ0cOXKEnp4emWxfo3FW8jt27BjV1dU4HA5pWbx06dI96cDA1UUOnJU5u7q6eO6550hJSaGxsZHTp0/T29tLTEwMaWlpLnmKPTlvhUAPTre/gwcP8t5773H9+nXAOYa9vb2AU3lTUVHBjh07iIuLc1lznjwHhVUN7hZDma09XV1d9Pf3S4vV1atXeffdd/nyyy8ZHR0lLy+PHTt28Mwzz1BQUICfnx9Wq9XF5UycIY9bonreVELu0YJfhclkckmKf+vWLRmtp9FoGB0dlcLrQmkdxa1AkJ6ezpo1azh58qTMNSei/sHpy/qTn/wEnU4nDw+HwyEr+dzvbyhN0UpBNjo6mtzcXBc/WjX49n4V7oeGyCMbGhpKTk6OTFatVvOkEr1ez/LlyyktLZW3ZrFptre3u2gAAgMDVVvFSHmo2+12Ojo66Orqcpl7SkTbxXxTugcoxzc9PZ2KigrS09OBuxHraum3EmVqPoGaxmiuEKkHxV567do1Dh48SF1dnZzD69ev59vf/jY7duyY1aSndoQ/ujgUBwYGaGtrc9ln1Sy8Ch9OJbM9f7GfiHX45JNPEhYWxvT0NPv372dwcJBPPvmEiYkJAgICWLNmjYuAMNcoBTWAtrY2Gfwocp9PTU0xMDDgUkZanFlKAVVJQEAAer0em81GQEAAU1NT7Nq1iwsXLrBkyRJmZmY4d+4cMzMzZGRksG3bNrKysmSbPHmOiDk4Pj5OfX09X375JXv37mVqakoWnRAa2Jdffpl//+//PSkpKfeMkSfXn9gHlXv8+Pi4LChlMpmor6/n4MGDNDY2Sjnlxo0b8kISFRXF7/zO7/Dd736XpKQkqZxyL68+V/2cV3um0nwl/s12eAhhTzmQQ0NDTE9Pk5WVRUFBgdSQCNNtUFDQvPvauQuvmZmZrFu3jtu3b1NXVwc4bylCqyjSQM2GSJGl9BtU+g+KCHzxu5KSknj55Zd5/vnnCQ8Pl7ddbzhglG0Ukc8hISEUFxe7RByqQXAQm7GYl2I8xFcRLCD+r2R6epqJiQnGx8fx9/enqKiI5ORk+braxkusr8nJSS5dukR+fj7bt28HnBuLMPko/UCVrgAhISFYrVaGh4flz1JSUlz6rLaIdXHoiwO9qamJa9euuQg5ygNVTeP1qIiMHkajUY7f5cuXeeedd9i/f79LuenQ0FA2bNggAwu9IVhEiThPxFyz2WzU1tbKuQnco9lUE4+6942MjGA0GjEYDJSWlrJ9+3a6u7s5cuQIIyMjnD9/nsbGRpYuXeriwjMf7VbOk/j4eHJycjh//rwU0ACXPLYiRzY44zeys7OJjY2V1rfY2FhZQl2n0xEdHU1HRwcnTpzg1q1btLW1YbVa5e8XvrR6vV7OA0+5ZolgSXDKJqdOneLMmTOyv6IIkb+/PwUFBTzxxBPSz1VtKOUvURmrp6eHkJAQDAYDzc3N1NTU0NPTIy01IyMjUqvs5+dHT08PN27ckMHryrmiLLzQ3t5OTU0Ner1ezgcxhg+rnFyQEX+YKjzKIgUCkR+0qKhIauvE7W4hblruG0xMTAw5OTku5dtEEMiDouiEC4VyQYvfL7Szdrud0NBQgoKCCAgIYNOmTbz55psUFxcDyFuMN+AuvLa1teHn58eSJUtcBB01+IKKW/PDzCe73S5NYODcoIeHhxkbGyMqKspFqyx+t1rGzGq1ygug3W6nvr6eEydOsGnTJtauXcv09DRGo9HlObgHEdy+fZv6+npaW1vRaDQUFhZSUFDg4uaiNk26uCiLdXb16lWXg1ZooYeHhwkJCVHdheNhEHuP0gw3PDzMxYsX2bVrF5988gnNzc2yX2FhYeTn58uofLvdruqgu/shFB6i3SKNovL1xYJSIB0bGyMgIEBaJgVDQ0NyHiurOc7luLpbVJcvX84bb7yBw+Hg4sWLgPOcDA0NJTg4mNDQUOlOMDMzQ0JCAkuXLiU3NxeTyYTNZiM+Pp60tDTpExoaGorD4eCZZ57h6NGj7N27l3PnzmG324mKiiIlJUX23dPadeWzvXz5MocPH6alpUVWD52amiIlJYXNmzezadMml2JNjxuwNJfMzMwwMTHB8PAw169f56233uLtt9++J6h3NsTe2tXVxW9+8xtu377N9u3bWblyJTExMdK9B5BuBGfOnOHzzz8nMjKSZ599lvDwcHUKrw+LssGZmZkUFBRISV8p/C70piQeZkBAAFFRUS6+Nv7+/i5R3CLwSrmoRIlVd/R6PQaDQWoL0tPTef755yksLCQrK0um0AD1CQUPQrkg+/r6ZKlAUaRiLtNlLARCeyeqSwnhdWBggJaWFhezlZq0Pe45isU8Fevn3Llz/N3f/R0nT55kw4YNMvp5bGyMGzduSC3e8PAw1dXVnD9/nurqam7evElUVBRbt25l48aNsvwhqONCokSZ+kqZZUH8bHx8nIaGBq5du0ZpaalLDkq1zk8RAKOckyaTSc7B1tZW3n33Xfbv309TU5P01Z6ZmaGkpIQ/+qM/Yvv27QQFBam+MIES5XwWAR9K69ViEVbdq02658VubGxkz549UlgU71uING9i3xbrIykpiZ07dxIcHMzly5fR6XTExsYSEREhhRaRTmlmZkZq5EQxCYfDIYNjAZe9pKSkhJGREY4ePeriMxofHy8zY7i7MS0UQhHg7+/P8PAwZ86c4Z133pHFhoRWWavVUlpayquvvkp5eTlRUVFSiaWGogpiT2xtbeXs2bNUVlZSW1tLdXX1rIKr2N+VsQIZGRlMTEzQ1tZGT08PlZWVdHR08PnnnxMWFkZaWhoVFRWsWLECvV7PxYsXqaqqwmAwEBUVJYXfR0U1J41QrwsSExOJjY3lwIEDXL58ma6uLukn4qnbllarJTExkU2bNtHT08OVK1cYGRmROWptNtusPj1arVYeEGKzFZNGvD8nJ4fnn3+eN954wyWXq4ii9fQkfxjEuIi+3rhxg0OHDslAPNFf98AgtfdNXJxE5RtwtrutrY3W1lYAadJTk+nVPdgwNjaWrq4uufEPDAxIv7KWlhampqaIjIzk0qVLXLlyRQag9ff3c/bsWaqqquR8Xb58OZs3b5aaBLX6uiqtPlqtloyMDPLz87l+/TqTk5PY7XZ6e3vp7OxkcnJS1cKrMg2W2CuV+0p7ezu9vb0cOXKEt99+m+rqauBuXt+UlBTeeOMNvve978nfeT8fRDXiHrAVHBxMYGCgdN1yn39qG7/ZEEKqUiCczRIk0kT19vby5Zdfsn//fjo7O+XBPzo66uJGMd8on21KSgovvvgi27ZtQ6PRYDKZXAJXvwphmVRaIYU1JywsjLy8PJYtW4bVamXNmjUsWbLkngqGC41yX7l58ybvv/8+u3btkhW0xLrKz8/nySefZMuWLS4WW0+izBih0Wi4efMmH3/8MQcOHKCqqkpmjTCZTBgMBnlZnpiYwG63YzQaiY+PJyQkhJycHAoLC+no6ODAgQM0NzfT3d3tUs0vIiKCa9eucfnyZaanp2loaCAmJoYnn3ySjIwMgoKCvpbvr2qEV3A9MESgU09PD0FBQXR0dJCSkuKRSGbRppmZGdLS0njjjTcICgri7//+72lubpabhrtbgEAUYYC7wqvy/SkpKXznO9/h5ZdfJjU1VX7O2/zQhN+o0Ezu37+fn/3sZ/T395OWlobD4XAx63na5POoKOfe9evXuXHjhryBBgcHk52d7VKf2tNjp/z7WVlZrFmzhmPHjjE6Oupyc25tbeWjjz7iwoULGAwGurq66Ovrc9H+KC9aqampbNy4kfz8fPk71CoouAuvubm5LF26lPb2dqlZED6+au2D4EGatZs3b/Kv//qvnD59mvb2dtrb2+VrWq2WjRs38uabb/LUU0+5fO5xSzQuJMo84kajkaysLJdiIKDeeXg/3HMmu7ffarXS1tbG9evXqaqq4vz585w/f57u7m4MBoOMsTAajQQEBHjs8hUcHOyiNX1UxPoTmmbR/pSUFF599VXWr1+PRqMhMTFRllIVn1tIlH6b4Iy+P3v2LOfOnZNZFMS5nZmZyVNPPcXGjRul4KqGIGUR7CguAJWVlVgsFtra2lzSWomLhLslOTU1lZdffpnNmzeTl5dHQEAA9fX1REVF8d5779Hc3Ozy9/r7+zl8+DDHjx9Hq9WSkpJCWVkZGzZsIDQ01CXVG3ip8Kq8fUZGRhIVFcXU1BT9/f33VMHxBGJhxcfH89xzz9Hf388HH3xAXV2d9KEzGo3yxmm1WmXdaiVGo5GYmBgiIiJISUlhy5YtPPPMM2RkZADIwRTVubwFEfgkuHnzJm1tbYCzvO3y5ctdfEI9Ldw9CkpXh+HhYRoaGqQpC5CaLVEWVg2aO+XzTU5Opri4mNOnT0uhLSIiAofDwfDwMJ2dnXR2dn7l70xJSeGFF17g6aefdhlLtbkLzIZGo5GpskR7xaHv6bF6EEJoFePZ1tYm07Pp9Xra29s5cuQIX375JfX19fJz4eHh5ObmUlRUxI4dO3juuefQ6XRYrVYmJyfnNbBnPpmamsJkMpGcnExiYqLcc2ZmZlzmoZovx0KImW3dtLa2ygqM7e3t1NbWcuPGDZqammhsbJRCkrhMRkdHs2XLFgoKClx8QRfCNWu2lHpCs+fusgN3LazKy6LQNguU/w8NDaW4uFjGfrj/7YWcv8q/193dTXV1NWfOnJGBZeC8CIv0gxUVFTz99NPSkupJq7ESpfA9NjbGxYsX5TkNzrii8fFxF4VFYGCgdGdcvXo1TzzxhIv/bllZGUajkaioKE6ePEl7eztDQ0P09/czMDDA5OQkiYmJFBYWUl5ezvr162WefqPR6N1uA2JSTE1NSV/Q4uJigoKCaG9vl+ZZ8JzQo3SCT05O5t/+239LREQEP/nJT7hy5QrgNPOL5PSz5ZAUB0pOTg7l5eU88cQTMs2Q2NDUXqbxYVFuzGlpaaxfv57w8HB58/PWftpsNsbGxlwuJf7+/jIPMKijNKVynQQHB5ORkUFqaqosGDExMXFP9g8lIghICLtxcXE8//zz/O7v/i7Lly938VXylouIKFIg2j05OXnfDCFqQRx6ovrenj172L17N3q9npGREc6cOcPAwIB0T7LZbBiNRlatWsW3vvUtNm/e7HLR8Pf39yqNqxJlPkpwCjfCbcBdQ6RmlELX+Pg4nZ2d+Pv7MzY2xuHDhzl58iT9/f20trbS0NDA5OSkzMqj/B3p6ek89dRTvPTSSyxbtmzBx/V+AvJCBVQvJKKYEDiDV99++2327t1Ld3e3tAaI8QkPD2fFihWUlJSg0WhUVURDKMbAeRFWug45HA6XmABwKmbWrVvHSy+9xMaNG0lOTp61tPjSpUvJy8tj586dnD59mnPnztHY2EhnZyfR0dHs3LmTp556iqSkpHsubaopUvA4KB9aQkICWVlZ7Nmzh3fffZeEhATWrl2LTqfzWIJ7peAVHR3Njh07sNlsXLlyRVZjEu8D54FfUlJCVFQUVquV2NhYmdQ9KytLlhEFdZgUHgfl4SEqqgkyMjLuWwjAG1BulAaDgbCwMOk7Cs6KKSL9i9KnyJMoNwSj0UhZWRkBAQF8/vnnvPvuuzJdlAhGdDgcshABIKN/wTmPX3nlFb71rW9JwdX9b6gR98M1ODiY2NhYwsLCpF/WzMwM0dHRLn50aumXMhhwbGyMU6dOsXv3bvbv3y994YUmTrgvlZWVyejm0tJSaQ0QQU6Pmxzc0yjHJiQkhPT0dGprazEYDPT09MjX1BiIJoI/RbBdbW0tJ06coLa2VvoWNjY2cuPGDcbHx136I5Qher2esrIyli9fztKlSyktLSU3N9dlP/JGjfr9UKYxFGe+J9wF7Ha7FNrGxsa4evWqtFZpNBp5qTKZTJSUlLhkYhHCqxpQnk8xMTEUFxezceNGxsfH0Wq1tLW1MTY2RnJyMqWlpZSWlrJkyRIKCwtd3OKmpqZcLAii8EB2drbMaNLX18fY2BihoaFSDhKIcf26MT3qeJoKlOYEoX09ePAgu3fvZtWqVaxduxZApstaaAFBq9W6aAwTEhJ49dVX2bJlC6dPn8bf359z584RFBREeno6y5YtY8uWLaSlpckEzKmpqS4+MGIAvVUbIlCO3a1bt2QN9TVr1lBSUiLNfWoumfogxAYaFBREZmami49XXl4e8fHx8nu1aYAMBgM5OTmyJnhnZyd79uyRgRVCABJaOZFuZ2JigsjISJ555hm+/e1vs2LFClUJ6F+FclMUAZerV69mdHRUJtouLS0lLS1N5i5Uk/+re6qyAwcOUF1dLS+G/v7+cj8KCAggJyeHl19+mW9961tyPlqtVunX6+2Cq3uqpuTkZDZv3kx9fT03b97kzJkzlJaWumiH1ODCo8RutzM2Nsa1a9f49NNP+fDDD2lsbJz1vTqdjoCAAKl1DwwMpKysjOeee45t27a5pB5UFrBRU38fF0+c8+6453xvaWmRa9C9EEF+fj6bNm0iMzNTvl9tFymxd4eFhbFu3TqXbBXCNUUEmxUWFsrPCR/Y2fYSZQGL6OhoeWlWItKKCmH3ccZVdRKEMm+fyWRi6dKllJWV0dLS8lAVSRYKMdAisjI2NpbY2FhKS0sZGBjAz8+PoKAgwsPDiY2NlbWN3TdfkWRZbRvso6LcOMfHx6mpqeH69ev4+/uzZs0aVqxYgcFgkDdQbxVexU0zPT2dxMREGQ27fPlyWakI1KO5Eyifd2JiIm+++Sbr169neHiYkydPcvz4ccLDw2Uu3tLSUoqKiuTnkpKSSE9Pn7f8kfOFexujoqIoLy8nKyuLl156ienpaZKTk6VGQE2CK7hegqamphgcHHQpsGCz2QgMDKSoqIhNmzaxZs0aiouLiY2Nle8RWiFvXHOzoSy/nJGRwVNPPcXevXtpbGzkypUrdHd3yxLUoI65qgz0GR8f58qVKxw5coRLly65+Bu6I9IMCRee9evXU1FRQXh4uGqi1xc7Yuz0ej1Wq5UrV65w7tw5mYJOWdQFnMLrunXrXKyqnha+lbgL4jk5OcTExADOvo6OjmKz2QgJCXFRyIjXlYG87q99VUn02Xykvy6q283cTZ0lJSV873vfo6+vj7KyMvmap/1HlOZIYdoTAuxXIQRWZQotb0dorMCpdT127Bg3b94kMjKSnJwcuQjUlAf1UVE6uvv5+bFu3TrA6RKxfPlyqenxREaMh0Fke9BoNGzbtg29Xk93dzfp6enk5uYSHh5OXl4eKSkpFBUVyQ3N/XeotX8Pg06nk8VPsrOz73nd00KOO8r2mEwmIiMjMZlMaDQawsPDycnJIT8/n9WrV7Nx40aXkplTU1MYDIZFs8coERd+4Sbx+uuvc/z4ccrKymQgiNpQCrDCZLt27Vqys7Npa2tjcnISf39/mTDeZDJJ9wBwurwIyyMg0w4KDZa3rklvQpjGrVYrXV1dANJqBbBs2TKZiUXksQX1KTNEcLzD4cBgMDxQbpmYmJB+sg/aS5SZXYSQq5R1RPXGuULVwqufnx/Z2dmkpqa6pGACdUU3P+qB5wlf3flGqSGqr6/n5MmTMm+osjCB2szpj4K7mWPTpk1UVFRI061y7qptswJnm0SdatGPtLQ0vvWtb/Hiiy/KMoYPCujxpuISiwF3/87s7GwKCwsxmUxkZGTwwgsvsH37dhISElzWltAULVaUzyUyMpI//dM/5Q//8A8xGo2ydPhs7/UU7peQ0tJSCgoKpADhHtwrLokifzTc2w+9Xq8KrfJiRzxfcaEoLCxkzZo17N69m9bWVpkVKS0tjd/5nd9hy5Yt8gKl5rF5WDlEzL9H6ctsvslz/SzUIwHeh9lMzGpdsCLTwPT0tMsNW/h3eFtlqUdB9Gl0dJRbt27JVD7BwcFERka6aKm9HTG+RqPR6zImiM1K3Ix1Oh2BgYH3lJoU2h/hJuHv7+81xTK+ChEYo6ySo1ZBT7n5h4WFSZNxX18fMTExrFy5UgZRaDQaJiYm5FipQWibb4RWJzQ0VLUaV3ceZ++wWq0y6G6xrEdvQbmeNmzYwH/4D/+BwcFBAgMDsVqtxMXFsXr1apnyEtQtvArcM3gos5u4u0Q8CvMt66heeIW7Ao8yL5wa+SpfzHgiiwABAABJREFUTrW2ey4QfRsfH6e3t1f65YlgmMWE8rbqPje9BaXfk/uFQmw6yujlxYTQoHtD8JK7xi4vL4+8vDyX9yjnoDJjwjcBpZnS25QD7jlQZ8O9P3q9XrUXrcWOsgBEcnIyf/RHf+ThFs0N7j6w3oLqWyxSVLiXRfShLsQG7Ofnx/DwMHa7na1bt/LGG2/IPLagvqjLx0FZY95btSBifSmtBe6lmn2oG5FvWI3leRcKm83mEgyqdq2z0h/wfon+lf6soF5f+m8SwsXDd4HwPI8svJrN5vloh2pY7P2Dhenj97//fQB++ctf8stf/nLe/54S3xguDhZ7Hxd7/2Dx93Gx9w98fVwMLMb++a5xPnz48OHDhw8fPrwGzWIIoPHhw4cPHz58+PDxzcCnefXhw4cPHz58+PDhNfiEVx8+fPjw4cOHDx9eg0949eHDhw8fPnz48OE1+IRXHz58+PDhw4cPH16DqvK8ms3m14Ff3fn2DywWy//yZHvmArPZnAT8NfAEEAl0AJ8Af2WxWAY82LTHxmw2vwn8/Cve5rBYLIsqaahvnnoXZrP5ZWADUAIUA8HAry0Wy2uebNdcYjab/19gBZADRAETwC2cY/gvFoulz3Ote3x8Y+j9Yzgbi2kv/Sach2azORJ4AXgaKAISAStwBWfff26xWBwL0RbVaF7NZnMy8M/AqKfbMleYzeZM4ALwHeAs8A/ADeBPgdN3JoI3UwX81X3+Hbrznj0eadk84ZunXsl/Av4Ip+DT5tmmzBt/DgQC+4F/An4N2IG/BKrvzFtvxjeG3j+GLizCvbSKxX8evgL8FFgFVAL/CHwEFAL/C/iN2WxekEopqtC83unsz4E+4LfAX3i2RXOGBYgB/sRisfyz+KHZbP5vODeqvwF+4KG2PTYWi6UK54K9B7PZfPrOf3+yUO2Zb3zz1Gv5c6AVaMSpvTvs2ebMCyEWi2XS/Ydms/lvgP8I/B+AN2cq942h94+hZDHupd+Q8/A6sBPYrdSwms3m/4hT8fES8CJOgXZeUYvm9U+AzTg1P2MebsucYDabM4DtQDPwP9xe/r9w9vN1s9kcuMBNm3fMZnMhUI5TQ7Lbw82ZS3zz1AuxWCyHLRZLg8ViWbRJrWcTeu7wmztfsxeqLfOBbwwBLx9DNxbdXno/FtN5aLFYDlksls/cXQMsFksn8OM7325ciLZ4XHg1m835wN8C/2SxWI55uj1zyOY7X/fNMtAjwEkgAOekXmx8/87Xf7VYLNMebckc4Zuni3KefhN49s7Xao+2wsfjsKjGcBHvpfdj0Z2H98F256t9If6YR90GzGazDngLuI3TLLKYyL3z9fp9Xm/AqfHKAQ4uSIsWALPZbAJeAxw4fWC8Ht88XXzzdLFiNpv/AggCQnEG/6zFKfT8rSfb5ePhWcxjuMj30ntYjOfhbNwZ19+78+2XC/E3Pe3z+l+AUmCtxWKZ8HBb5prQO1+H7vO6+HnY/DdlQfk3OPu022KxtHi4LXOFb54uvnm6WPkLIFbx/ZfAmxaLpcdD7fHx6CzmMVzMe+lsLMbzcDb+FmfQ1hcWi2XvQvxBj7kNmM3mMpw3r7+3WCynv+r9ixARkbfYfLj+8M7X/+nRVswRvnm6aOfposRiscRZLBYNEIczcCIDuGQ2m5d5tmU+HpbFOobf0L10UZ2Hs2E2m/8E+PdAHfD6Qv1djwivCtPBdeA/e6INC4DQWIXe5/UQt/d5PWazeQmwGmdU8Bcebs5j45unwCKcp98ELBZLl8Vi+Riny0ckd3Np+vASFtMYfkP2UhcW23k4G2az+d/hTOt2DdhksVj6F+pve8ptIAinDx3ApNk8a/aPn5rN5p/idOr+s4Vq2BxSf+drzn1eF5Gj9/M19EYWm2O6b54uznn6jcFisdwym83XgBKz2RxlsVh6Pd0mH4/GIhnDb8Je6s5iOw9dMJvNf4YzJ3gNsMVisXQv5N/3lPA6BfzrfV5bhtMn5gTOg9VbzQsiD+F2s9msdcuJFgyswVlB5YwnGjfXmM1mI06TgYP7j6234Zuni2yefkNJuPN10R2g3yC8fQy/CXupZJGehxKz2fz/w+nnWgVs88SFyiPC6x1H7d+f7TWz2fyXOCfyL725VJzFYmkym837cJp8/h3OSiKCv8JZSeV/WiyWxZLj7hUgHPh8sTim++bpopyniw6z2ZwHDN7Jtaj8uRb4v3EWoDjl7WV+FzOLfQy/CXupG4vuPBSYzeb/jLOU+AVg+0K6CijxdLaBxY4ZOAX8d7PZvAWoxVlWbRNOM+z/6cG2zTXCMd3bK4h8E1nU89RsNj8PPH/n27g7XyvMZvMv7vy/12KxeHOFnyeA/89sNh8DmnBWLYrFWYkqA+gE/sBzzXt8fGPo/WP4DWNRnodms/kNnILrNHAc+JNZXECaLRbLL+a7LT7hdR65o9VagXOwnwCeAjqA/w78laduLHPNnaTTa1nEjumLmW/APC0B3nD7WcadfwC38O7ylAdwHpJrgGKcqXnGcF483gL+u28MVc83YQy/ESzy8zD9zlc/4M/u856jwC/muyGamRlfBhwfPnz48OHDhw8f3oHHy8P68OHDhw8fPnz48PGw+IRXHz58+PDhw4cPH16DT3j14cOHDx8+fPjw4TX4hFcfPnz48OHDhw8fXoNPePXhw4cPHz58+PDhNTx0qiyz2ez1aQksFovmfq8t9v7B4u/jYugfLP4++ubp4u4fLP4+Lob+weLvo2+eLt7++TSvPnz48OHDhw8fPryGRy5SYLFY5qMd88osFSDuy2LvHyz+Pnpj/2Dx99E3T11Z7P2Dxd9Hb+wfLP4++uapK/Pdv5mZGTSaByq5H5mv6p+vwpaPOcVms2Gz2XA4HOj1evR6vaebNOeIPvr7++Pv7+/p5swZNpuNmZkZ/P3953wj8uFjrpmZmZH/ADQaDVqtdxkTp6ensdlsTE9P43A40Gg0+Pn5odPp0Ol0vnXoJYhxtNvtaDQaeTZ46/gJYXRmZoa2tjbOnTtHXV0d/f39DA0NYbVaSU1NZfXq1VRUVBASEiI/Jz473333Ca/zyMzMDA6HA0AOprdO5vuhPDy0Wu2iE+jcEcLdYuyjsk/zcZP24WMumW0/VQqyaka008/PDz8/Pw+3ZmERZ6JAjJXax+xBLJZxFGMjLoHV1dUcOnSIS5cucfPmTVpbW+ns7GRycpLw8HAuXLjAzZs32bBhA+np6RiNxgUbR5/wOo9MT09jtVoB0Ol0i1LgmZmZwWazodFo7qtlXSyCkPIisphwOBz3aKwWy5j5+GYxPT0tL5hqxuFwMDMzg073zTqCHQ4HdrvdReEh/nkji22fFONjNBoB2LNnD++99x7FxcW8+OKLDA4OMjIywsTEBLW1tVy4cIErV65w6tQpXnnlFTZs2OCihZ3PZ/PNWjkLjDD9LEbEIaHT6TAYDIDT7NzV1UVzczMTExOkp6eTmZmJRqOZVUDyNkT7b926RXt7O/Hx8aSlpQFgtVq9zkykPECEechqtRIfH4/JZJLv8aY+LXamp6ddTMw6ne6RND52u12uXWGe9tbxnZ6exm63Y7PZsFqt6PV6goKC5Otq3HPEBViM2eDgIK2trfT39zM+Po6/vz/h4eFER0cTFhaGyWRaNGfIzMwMWq32vkoOIdA/CLVYMN1N4729vbS0tNDf349eryc+Pp6EhAQCAgJc3q92lJZUgKGhIWZmZigvL+e1117Dbrdjt9txOBxUVlby29/+lsOHD/PZZ5/R29uLw+HgySefRK/XS9e6+er34lgVPhYc9w1E3MQOHDjAu+++S3t7O2+88QZ/9md/RkJCgosvjDci2t7X18cvf/lLvvjiC1566SX+/M//HJ1Oh91u9zpBQPhnifZ/9tln3L59m5dffpnly5cDTgFhsRyeiwGlX+fXOcTFRUX835vmq5Lp6Wl6e3tpa2uTQkNCQgJr164lMDBQvkdtwqtyD+zr62P//v188sknVFZW0tvbS3BwMMXFxWzdupWtW7eSm5u7aNbfV8018fpsrh9KYVENc1a5L05NTXHkyBHefvttLly4QGhoKE899RSvv/46RUVF97xfzWi1Wpd2rl69mqioKFatWkVwcDCAPOueeOIJlixZwqpVq/jFL37B8ePHCQ4OJjIykpUrV0ql1nyd+/P2NB0Oh7zhiw1XbCQzMzPy1jw9PS0/495BrVYrb6jCkV1tm5ES4eMq2lxVVcWZM2eYmpoiJyeH4uJi4uLi5AGihkX4KDgcDqxWKxqNRk7M9vZ2Lly4QH19PTdu3OD8+fNUVVUBTpNDYWEhzz77LOHh4YBzEXuTb5DQ3gjN5O7du3n77bdpaGggOTmZGzdukJOTI2/YatT23A+hvQPnuFy+fJkjR44QHBxMYmIicXFxciPzxvnqjtiTxD9ln8SmrfYLyP1MrA87PrN9Xgh5au43uK4tu91OS0sLBw8e5OjRo3R1dZGamsrNmzfZvHkzWVlZ0nVADXPXXeNaU1PD7t272bt3LydOnMBmswEwOjpKR0cHU1NTFBYWUlhYCHjfvilwPxNbWlq4du0a4+PjBAcHExYWRmRkJJGRkQQHBz/03in2Lk+Nq1I72dnZybFjx9i3bx8TExO0trZitVpZunQpS5Yswc/P7x4/X7XiLmOtXr2akpISwsLC5M/EfqHX68nKyiI6OhqAX/3qV1RXV/PZZ5+RnJxMamoq4LRKCnlhLpk34fVBfixCmFW7X9KjMjMzg91ulwv19OnT/PVf/zWdnZ1s27aNb3/722zZsoWkpCSXW6anN9aHRavVSl+YmZkZWltb+eCDD3jrrbeora2VWQbEe7u7uzl+/DgrV66Uwqvy+XgDYqFqtVquX7/Oe++9R0NDA+DctD777DOeeeYZsrOzvUZoVaIMlggODqavr48vv/yS3Nxcnn/+efz8/FxcRLwNdwHVm/cdcelXCt7CbeBh9xBh9oO7bk3etB4FYq8Vwt7Vq1e5ePEi169fZ2Jigt///d8nODhYvk8NYy4Enu7ubt577z1+9KMfSTOzXq/HYDAwOjrKzMwMjY2N1NXVUVJSQmxsrBwjbzov4O6cFe2/evUqP/7xj7lx4wahoaHExMSQmppKdnY2qamphIWFubgPiL6aTCZiYmKIjY1Fr9eraq8dGhqitbWVmZkZ9Ho9VquVW7duce7cOVasWEFOTo50lfCG8VO2T1wslAhBVIxrSEgIL774Inq9nn/5l3/h008/paSkRAqv84XXnUbC1OkNG67ysK+srCQgIIDg4GCp0RKLVO19EUKp8vZ0/vx5fv3rX7Nr1y6am5td3q/X6/Hz88NmszE2NiYPS3C9sXob/f39sq86nY6mpiZ+/vOfc/XqVV588UW2bt0qhXtv0JQoL5h+fn4UFRWRlJTE1atXuXDhAjt37pRaA4fD4TXCqxBYlL6hYk4+DNPT06pJu6TUNvb393Pq1CmOHTtGa2srycnJbN++nXXr1t1zoMzG8PAwhw4d4rPPPmNiYoJNmzbx3HPPERMTAyB91NSKcjz8/PxIS0vjpZdeIjk5mXfeeYejR49y9epVmpqaGB0dlWZOT+85yjHs6enhs88+49NPP6W/v5+wsDCWLVuGyWSitbVVCt9DQ0Ps37+fpKQknnvuOa86Lx5ER0cHly9fvufMiIiIID4+nqCgIKampgBn9hNh9RKm6CeeeIJly5a5nEWeEAiVbnChoaGEhISg1+ulJdlms1FZWUleXh4xMTFEREQA3uM+MBvKC4Xo/+TkJH5+fsTGxrJx40a++OILPvvsM95//32Sk5MpKyt7qL3p6zDnT1F00Gq1Mjo6itVqRafTYTQaMRgM6HQ6pqenGR8fZ2hoiNHRUXlYKDvm5+eHyWTCZDLJgJ/AwEDVO0ArN9ikpCRKS0uprKxkYGCA8+fPU1FRId8jhAK1b0biQJucnJRajrfeeovf/OY3ACQmJpKcnIzRaGRiYoJbt27R2dmJv78/QUFBLg76ahyz2RDzy9/fX2pCrl69yuTkJOC8RHV0dNDR0UFvby8pKSmsW7cOo9F4j7ZBrbgLr8XFxRQXF1NfX09bW5vUoj9MIIWnEWtJ7COzpTObmJhgbGyMsbExJiYmXNwm9Ho9YWFhhIWFqWrclM99bGyMy5cv89Zbb9HV1SUDe8rLyzEYDPfMO2WuRofDQUdHB4cPH+ZnP/sZADdu3CAzM5PNmzcD96YwUjN+fn7ExcURFxdHSUkJo6OjXLx4kZGREXp6eujp6SE+Ph7w/J5js9nkAX7z5k0OHjzI0NAQpaWlrF+/nvLycux2O59++inXrl0DYHx8XAriov3ecl4oUZr2hZZ8dHQUo9FIamoqBoOBqakpeW5MTU2h0+nQ6/VMTk4yNTWFXq8nIyMDo9GIzWZjZGSE1atXExQU5LFYCuW6jIiIICUlheDgYNra2mSQUnV1Nfv27aOoqIi1a9cuaPvmCqXAqnzGSquPUE7FxsaydetWmpqaqKqqYv/+/RQXF6PX6++xSs8F83IFGB4epq6ujgsXLtDZ2UlISAhpaWkkJycTGBjI4OAg165d4/jx41y5coWpqSmMRqMMHBEmzPT0dHJycjAYDDgcDpYuXcq6desICAjwinx+er0eo9EoB290dJSJiQnZdm8QCJQ3/RMnTvDOO+9w+vRp6urqAEhLS+ONN96goqICk8lEbW0tH3/8MV1dXTJNmBo0WI+K0l1genqaM2fOcODAAQYHB+95r8lkwmAwqHouzobSz1Gj0RAfH09qaiqBgYGyYIE34J6sfjY6OjqoqanhypUrVFdXU19fz+joqLxYJyUlsX79erZv305ubq78nJp8mMWBIbT7Ihrd/VARKINcpqen6enpYWJiAq1Wi8PhoL6+nitXrrBs2TLVCe1fhXs+ypiYGEJDQ6XwKtapGgJ8lPNS+P+tWbOGjRs3snbtWpYsWSKtW7du3eLy5ctYrVbph60UWD3dl8dheHiYW7duMTQ0xIoVK/jBD35AUVERBoOBrq4uTp48SXd3N/Hx8QQGBnLr1i06OjqIiYmhpKSE/v5+jh07xtjYGAkJCdIf2BMo904/Pz9SUlJITk6mu7tbjvfExASXL1/m/PnzZGRkkJCQsKhiCARibgYEBPDss88yODjIL37xCxoaGqQMoMx5P1fMifAqTHTidllVVcVHH33EmTNnGBgYIDw8nPT0dKKjo5menqarq4va2lopAN2PY8eOERERQUREBEajkbS0NOrr69m5c6dMUSQi39SCcqNSBqaBU3PS0tLCjRs3yM7Oxs/PT7UCgkhrAk4frQMHDvDjH/+Y48ePYzQaKS4uJi8vjzVr1txz4B89elSam9Xav69CKQw5HA7a2tpobm5mcnJSHv7CaT04OBi9Xu/1m5EyaEmY7LwBoW0Vm+jIyAhtbW0MDAwwNDREb28vTU1N1NfX09DQQE1NjdSgK39HQ0MDPT09vPDCCxQUFKhiTJWa1MHBQW7fvs3U1BTh4eGUlJSQkpIi9z93QU259nQ6nexzbGwsHR0d2O12BgcHGRsbIywszGvGW2C1WjEajfT29nL79m3GxsYAiI6Olj72X3WpWQiU55NwAwgICKCwsJCEhATAad3asWMH09PT/Pa3v+X48eOMjo7S1dVFV1cXSUlJct/xNsSctFqtDA8PY7PZiI2Npby8nJycHACWLFlCYWEhQ0NDxMTEYDAY6OzspLu7m8jISDIyMqipqaGtrY2AgACX2AtPoFwrGo2G5ORk0tLSuHLlipyH4FyzN27coK2tjZiYGK8TXh8mQ4S4HPv5+ZGUlERBQQF2u53a2lqam5ulz+xc7y9zIvUJjQBAW1sbX375JR988AGdnZ3odDqam5uprq6W0rcy+0BQUBCJiYkYDAba2toYGhpCr9dL94KRkRHGx8dxOBzU1NRw6dIlgoOD+c53vgOo24dEGVQBTkG7ubmZ5uZmUlJSpKlPjSiDHCorK/nRj37EiRMnCAsL43d/93d57rnnyMrKIjQ0lKioKMDpVjA6OipdQWJjY0lKSpI5Q8E7tbAajYbAwECCgoJcFrOIXvf393+gBkztCEHcaDTKsRofH2diYkIVAtyj0Nvby/nz5zly5AgXL17k5s2b9Pf3MzExIctwijUnzF5arVZqSaampoiIiCAyMpKUlBRpdoeFH1Nx+RV0dXVx+vRpOjs7CQsLk0Kack0p/++u8evu7qa9vZ2RkRHAaTEIDw+XScXVpGX+KpQpfYaHh2lsbGRwcJCMjAw2btxIenq6h1t4F+X5lJqaSnJysotPtXCbi42N5aWXXmJgYIBz587R1dUl/UMTExNV44f9qChTswkXsomJCbq7u8nKypJ9ioyMlJHr4HxWiYmJ8vklJyfz/PPPExAQ4PHxVY6DwWAgJyeH7OxsDAYDY2Nj8qJht9tpbW2lq6vLxf1Dref+10XsHcLVTqfT0dbWxunTp8nJySE4OHjOU2c9ltTncDiYmpqSB97Q0BCffPIJe/fupbOz0/kH7tz4hfYxMDCQsrIycnJySE9PJzU1lYiICGZmZhgaGmJqakpqGiYmJmhvb+fKlSscPXqU7u5u2trauHDhAmvWrCE7O/u+CY/VgN1ux2q1utyWZ2ZmMBgMqkrjMhtKbU9fXx/h4eG88MILbNu2jU2bNpGTk3PPRjo5OcnExAT9/f3MzMywdOlSNm3aRGxsrHyPWi8aD0Kj0UjBThwgytQ3K1asYOXKlVIb4C0BhUqNiNFoJCgoiIyMDMCZ0qalpYXQ0FBVmF7vh8PhYGBggJs3b1JTU0NdXZ3Url6/fn3WzyQlJbFmzRrpf3748GE+/vhjwLmHiYTxSjy1Tt0F0OHhYflzEQNwP4FGq9XK7AKiCs7Vq1elZigyMpLExEQZ2KRmRYA77hrm3t5e/Pz82LBhA9u2bZPFCtS0FsUcUrZHnKF+fn4YDAaGh4fp6Oigq6sLcFrrxsfHVZMx4XFQZrawWq1S2SGEGuVZLoQh5XwMCgpi+fLlLsGXyrzFC4ly79Tr9aSnp1NSUkJiYiL9/f2A83I4NjbGlStXqK+vZ8eOHdLa6m2+y49CcnIyy5cv59SpU5w7d45ly5axevVqwCkTzVVavsfaqcShDs7Jtm/fPn7729/KVELg3BCDgoKw2+2kpaXx5JNPsn37drKzs0lJSXmoBfnpp5/S0tJCd3e31H4NDQ25LGi1CIHKNhgMBgIDA10OF7vdzsDAAGNjY4+U126hUOblFRtramoqb7zxBkuWLCE/Px9wrfQjxiAoKIjIyEjZp4KCAtavXw84LyIGg0F1/X0YHA6H1CiL/goNXlpaGlu3bmXlypXA3c3Mm/ophFdw+jBrNBppriwsLFRlX8Q8tdvtNDQ08N577/HZZ59x48YN+Z7g4GCioqKIjY0lMjJSHhyJiYls27aNJ598UgoTFy5c4Pbt24SGhhIaGiqfh8ATe4vSagNIwRWcl6bAwEACAwNd2iYOc3E4arVaGSR06NAhlyhvcWERKLW8akYZmDc5OSmFA5PJREVFBVlZWYDTevAg4X6hUQbPiQNcq9XKIOSpqSmuXbvGhQsX5Geio6PlOeGthV6Ugp7wgfT390ev12MymeT5YbPZZNo3ZU54pW/pbAHbnnweSsVUQUEBK1eupKOjg8HBQTnWjY2NHD16VApx3noOPgjlc0hLSyMvL4/q6mqXixjMrRvP1xZexSENTm3FBx98wPvvv8+VK1dcUiOZTCY2b97M+vXrKSoqIiMjg7i4ODkJH4aMjAyZJFen05GZmUleXh7+/v7zXoLsUXA360RFRZGens7Fixflz0Ri7aSkJFnFSEThqaUPyv+HhoZSWlqKVquV5kXxmjB/KAVeg8GA0WjEaDTK9CCAi7nW2xgaGqKlpeWeRWgymSgqKiI7O1v+3Bt90mZDDb6CD0IIZyLf8MGDB10EV39/f773ve/x5JNPyqBJIajpdDpiY2OlxWjt2rVcvnyZd955R2q51KIVEcJre3s7t27dklodnU5HRESEdBtQmvxnZmakIADQ1NTEiRMnuH37NnBXiBL/9zbsdjt6vR673c7x48f50Y9+xPXr18nIyJCCK6h3LSoDDN0VG5OTk1LAA6cgEBcX55JBwltwd5vr6elheHhYWnKE9lX4TIrMRMLsLH6H0u1AbSiVbwkJCTz11FO0trayb98+qVybmZnh2LFjcgw3bdok+6/T6VTZr0dFOS9tNht9fX309/cTHx8/b9acr/1bxUBMTU1x4MABfvnLX3LixAn5ekhICCkpKZSVlfH000+zefNmlyoNIshLWd1F3KhnZmYYHx8nNDQUnU7H2NgYo6OjgFP7EBERIU1doqa8WlBOxLi4OJYsWcKRI0fkwTo4OEhdXR3d3d3yfcqbuJoQmnVl7lLlBiMOTdFukUWit7eXuLg46QsL3leKUlRampiY4NKlS1y9etXFZAt3NXvKi5g39VGgbLPIsWg0Gl20HGpDCK8Gg4GgoCACAwMJCwsjLS0No9FIXl4er7/+OsuWLbvv77Db7VITu2zZMr788ktaWlqoq6ujp6eH5ORk+bc87ToxPT3NxMSEnIP+/v4kJiZKlxyxj4qxEmu2ubmZI0eOUFVVxdjYGP7+/tjtdoxGI/Hx8S4aZrUI7PdDCENCaXL9+nU+/vhjjh07RnR0NN/61rdcLpJqdClz16YrLx0iIE+4rMTFxRETEyODz4RQq8Z+zYZSOzowMEBDQwMdHR1oNBoCAgIICQmR57hOp5u1CtODCh2pAXGBttlsBAcHs3btWk6cOMG+ffsAp5ukw+FgaGiII0eO8MQTT7Bp0ybAu9x0vgqlEstqtdLa2kpHRwe5ubnzNl8f+cmJqDJhsjly5AgfffQRV65cke+Ji4tj3bp17Ny5k9WrVxMfH+8StAPIG8f9yjGK10S1CiHsKfOKifepBdEPMYjBwcHExsbKWttw15XAWzYgJUJYUI6Xsn54fX09u3fvpru7m1WrVpGXlyff5y2L1N0f6ebNmxw7dszFFUaUcjQajQQGBroc+mrZVL8u7jmIQZ19UgrU+fn5PPPMM1RUVMjKLhERES5auNkQFyohEIkUfJcvX+bWrVtS8FVDIJPYD/39/ZmamkKr1UqhBpCBg8oDsbW1lffff5/du3fT1tYG3J27KSkplJeXy2h3UL/wquxbZ2cnu3fvZv/+/QQHB/ODH/yAP/mTPyEqKgqbzSZzhaoZEdAj2tnQ0MCBAwe4efMmGo2GkJAQAgIC5PmhxnX4IJRnw+DgIJcvX5ZKHFGJajGgDKyMjY0lPj5e9k8ZnCXWp8DbxvNhEXl7YX6tH48sUSgPdrvdTmNjI7W1tYyPjxMTEyP9OtasWcPKlStdggFE7joRwfygA0EkLz579iyHDx+WwmthYaFLRKKnD5Wvwj1i2OFwyMAmb0CZn8297jEgs0L09PRw5swZamtrSUlJ4ZVXXqG4uFi+Ty2uHV+Fu/Da1dXFtWvX6OvrA3AJ1srKymL58uUuQoTaBYCvQqvV4ufnx+joqFxzalxjyuecmJjIyy+/zNTUFAkJCXJ/EGsNcLHsgHM+it8hAkcEwpypZKG1z0JgFpkQamtruXXrlkt7lOMi5qTSRCsq3dTU1AB391SA3NxcNm/e7FLC0RsumCJJ/fHjx9m9ezeNjY3k5+dTXl4uLT1K30lvQRRCuXLlCoODg9KypSy5LbTm3sLU1JS0io6MjHDmzBn6+/sxmUz09/dz4MABWlpaCAwMlC4TYWFhslSssqQqqFvYU+5HmZmZFBcXc+7cOYaHh6VGWZjTh4aGCA0N9ZozUeCen165/yhTKzY1NdHX14dOpyMxMdHlfJxLC+wj71bKP+zn50dycjLFxcWEh4eTm5vL008/zYYNG6TQKvzHRMWsr0JU1NBoNExNTXH48GE++eQTBgcHSUtLY8uWLTI3HKjzYBXodDqZwF4wMDBAY2OjzMagdu4XrSuiBsVkvHjxIsePH0ej0bB582Z27NhBSEiINM2qybXjUejs7KSlpYXh4WEZiCUEm9zcXMrLy4mIiHAJIvFmlMJrT08Po6Oj0ldUTYeI8jnrdDoXLb9ApP/6KkTFP1G0oLCw0EWo84TLi1JrNTIywvnz56mpqZEX4enpaalFBVz+39fXx65du3j33XelRUz4EU5NTaHRaMjLy6OkpETGDYhxVyNirxEJ+ysrK/n1r3/N2bNnCQ0NZfny5S7+9d6y1yj3i97eXlpbW+UlWRTsaWho4Pjx4yxZsoTg4OCHOkPVgnLNdHZ2yuwfIvvFtWvXCAoKwmQyYbfbGR0dJTo6mu3bt/PCCy+wdOlSKeApL55qw90VpLi4mOeff57h4WHq6+vlmh0cHKS6uprq6mpWrFghx9JbgvBmC5BTxrsALi4DQUFBLF26VObkh7mV1x5ZeFVucAaDgbKyMhITExkfH5c+Z0JwhbsRrA97qxdFB4TAW1dXJwW9jIwMiouLXXwp1bjhirx9/v7+ZGdnk56ejslkYmpqCrvdTktLC729vS7lG70N5WYyPT3N+fPnuXTpEvHx8RQUFMjblrf1T+nbODg4SENDg9x03Q9Ff3//Oc9d52mUG9Rsmna1MZtJX2inHkb7JvzVBgcHZUL0zZs3s3TpUvm6J4qJKP+ew+FgYmLCRRvsHlAnhFmHw8HZs2f58MMPOX78OICsEiesPenp6WRkZLhcStS8RoULi7g8VlZWsnv3bux2O6+++irf//73KSkpkRpX5ToV5497jk0xrp4+P0S7JiYmGBwclDl4DQYDo6Oj7N27l9raWkpKStiwYQOrVq0iLi5OBsDO5ieqFkwmkyxLXFlZKVO02Ww2eaaLIF+R2UbkQR8eHuYP//APPVpF62ERZ4Y4E7Oysti5cyfNzc10d3e7VGWsqqriiy++IDw8XPZNzb6vIi5JnAVKi4/dbndRNiqt6mNjYxgMBjIzM4mJiZEW6Lns52NpXrVaLfHx8bKGtEAcHvdzwn4QyhxuNTU1tLS0yNdyc3MpLCwkNDRU1RGIyqo4SUlJxMXFERISwsDAAFarVfqEeHOuN2E+9/Pzo7q6mpMnT9LW1kZpaSlJSUkuE/5hUPpYCo2upxBzfGxsjM7OThkk4y6IW61WRkZGiI+P97qAtPshBCCDwUBAQICMlvV0wNL9UProiu+/aoMUxQqMRiMajYaBgQFu3bqFw+EgLy+PsrIyWTfdZrN5pFCDu4UrNDTUJa2VqIQmEJrHo0eP8tZbb1FZWenyXuFfaDKZSE5OdlEAqHVsBcq1dezYMb744gvsdjv5+fk8//zzlJeXA85zx2azSWFoNm3ybPuKGi6e4nAX83hoaEgKPc3NzVy5coWWlhZ6enrYsmXLPVkV1HQOigxAWq2WsbExPv/8c7744gs5ByMiIsjMzCQ+Pl4GcQtlz9WrVzl9+jQ//elPCQ0NxWQykZ6ePmvqLLUhrCV+fn4yrWRkZCSDg4MYjUasViuNjY0cPnyYNWvWSOFVjVkxlK6C7jEd4uKk3IPEhVBYsPR6vSw3Ll73uPD6MLgHLj0M4kYsbs1nz57lZz/7mdR6FRYWsnLlSgoKCqRJRa1mWveAJqVgpnyPWhfhgxCTVEzCxsZGPv74Yy5evEhQUBCFhYUkJSW5aPAeRYBV06XEfX4p/ZdFNL5S8yo+420o+zgwMCADXpTBlGo+NJQ8TDsdDodLbtva2lpqa2uJj49n9erVcsP15BpV/l29Xk9MTAzR0dHS79Fut7vkfQWn9u6TTz7h/fffx+FwyANT6VKg1+sJCQlxcadQ87iKA8/hcHDo0CH+6Z/+iXPnzhEdHc3rr7/OihUrANf1J1yVvGGPFe3T6XTEx8eTlpb2/2fvv6Pjvu4DbfyZAQaDjkHvjeiFIAgCJNhFUmySLJGSZSmW5BbbsSdK2V3n/N7dd/fd7Pue3WQ3uznJJp7EGyeWIsuSLFuyRImU2CvYQRAkUUgCRCV6LzOY+vtjeC+/MwQpUgQwg9E85/CAmIZ757bP/VTa2tru0YSPjY1x+PBhurq6sNvtZGdny3WrdDHxBpSR552dnRw+fJgzZ84AkJeXx9q1a9mxYwdLly4lMjKS6elptFotOp2OEydO8Gd/9mc0NTXx85//nPj4eF566SUSExO9OoAUXC0Yov/KM0387OjokO4h4J39cXfT6OvrY3R0FJVKxfDwMFarldLSUpfLB8ClS5c4d+4cOp2O6upqMjIy5q2Njy28ipRXQp2sDIR4FJSBMlNTUxw9epQPPviAwcFBsrOz+drXvkZ1dbUUbj1hyvsyiMTMSsd78A7h7MvgcDhcqqp1dXVx4cIF7HY7a9asYd26daSnp7vknrzf4hQmCXHr9pboYKUA7X5TFHNblA8VVgdvNv18EcpCH+3t7UxPTxMbG3vfTCDeyKOsJ61WKy8dt2/f5uTJk9y6dYu8vDwKCgpcArnAMz6Uyj00LCyMyspKent7ZfUwk8lEfX09paWlJCQk0N3dzcGDBzl48KDcZ0S0s3sKrYyMDJKSkuTne+NeZLVaXTSK7e3tfPjhh3z22WfEx8fzh3/4h/z+7/8+CQkJwL1+h+CczyMjI9hsNrm3iOA8s9lMWFgYcXFxHvM9VP6tiIgINmzYQHBwMNevX6e/v5+hoSF6e3ul9WdsbIzz588THh5OaGiorF7obfumaE9bWxuffvqpS57zlStX8vu///usWbNm1nn35JNPsnPnTukuePToUSoqKoiOjvaaft4P5WVJXBiVBWvE92M0Guno6KCzs5Pk5GSvUsCJNoq1ZDKZOHfuHHv37pUZd6anp5mZmaG0tJSVK1dSXl4utcjHjx9n//79pKWlsW7dOhf3wbneZx77tHU3X31ZlJ0bGhqSfqHgjCYWJUnBe/OizoYyqEnJYhC874dyEt68eZOBgQFKSkrYtWsXVVVVcj58kUbAW30qldpG5YVDaNHVajVZWVksWbJEbqjihr0Y5qTAPYn48PAwfX19mM1moqKiiImJISAgQPbNmzbZL4tSIJqcnOTo0aOcPXuW8fFx4uPjSU5OloKtVqv1WNUpMY9EMZjCwkKMRiMNDQ10dXUxPj7O3r17CQ4OJicnh4MHD/LOO+8wOTkptbNi7gYFBUlBPD4+nsrKSlkGGDxXYvNBOBwOubaGhobYv38/R44cwWKxUF1dzcaNG2VWib6+PoaHh6USJTg4GIfDQVtbGzdv3sRisUg3kJGREXp6ejAajRQWFrJz5055rnjqAupwOGSO0JUrV9LT00Nvb6/0FT106BANDQ1MTU2hUqk4ceIEt2/fZmBggN///d+X83Q+BIRHQWlqBmce3pqaGnmOl5WVsX37dtatWwe4utcJVCoV69at48KFC5w4cYL29nba2tooKSlx2Wu99dxQatJjY2OJj4+nra1NBko6HA6sVisNDQ00NjaSkJDgcl56eo9VWjAmJyfZv38/77zzDqdOnZLjKLKWHD16lMzMTJ555hm+973vSX/07u5u1q9fLwPuxOfNdd+8RlWk3EBNJpNLbfH4+HhZZWRiYgKr1UpERMSi0HQJ4XWxpcWYDbFpaLVaLBYLx44dY8+ePQwPD7Nx40Y2bdrkkhbDXWNls9lcNCrKnLHNzc2cPHmSqakpKisrWb58OSEhIR4VCGfzcbXb7cTExLBixQqys7Plc4stNc9siM03ODiYhIQEafIRApynN9bHQTmPmpubOXHiBJ2dnbS3t3P79m0AEhISiI2NlcLrbNq8hUY5p9LS0li1ahWdnZ2cPXuWCxcuMDg4SGpqKq2trTLdl8ViISsri5mZGXp6elwCvXJzc6msrJQ+st5QoVAc6OKyqNFoXPaOmpoa3nvvPa5du0ZERAQWi4UTJ07Q0tLCwMAAra2tDAwMMD09zcTEhFyzIghPuFCIoKCxsTEAVq9eTVpaGtnZ2R79DtxdRDIzM8nIyGBycpKioiIKCwt57733OH36NCaTCZPJRHNzMw0NDVLD5w0Cnfv3FxcXx5IlS2htbSUyMpIXX3yRbdu2yedF2jal37pGo2HlypWy6t3U1BRms9llH/a2i5ZAKbwGBASQnZ1NQUGBtJSA80w0m800NzfT2trK5s2bgbsuaZ7cY5V/v7e3l48//pi3336bjo4OqqurKSkpkVYrUbzn7NmzvPnmm9TV1REfH099fT1ZWVmsX7+e/Px8GSw6H4oqr5D+lFW2RkdHqa2tlbkJ165dy8svv0xOTg6ASyaDxYCYlEq/s8WK0k+wubmZt99+m8OHD5Oenk5FRYUcI2UEotDaCUd25eIUlUeuXLnChx9+yCeffEJERARhYWEy2tuTQW3uvsri/6WlpTz55JMuKUA8LeQ8DkpTl0iaHhsbK03L3h6N/jAIrZpKpaKuro6/+Iu/oLOzkyVLlmC1WtFqtUxNTdHQ0IDRaCQxMZGEhAQZtOYplH9bo9FQUVGB3W4nLi6OM2fOyOhsjUYjq/kUFBTIGuufffaZzOCSmJhIUVGRSxCFJ4NFlCVS3b9ji8XC+Pg4165dY8+ePZw+fRpwpg07duwYp06dIjIyUqZ1E0qN4OBgtFqti1VBBKzZ7XaZ+L+np4dLly7x29/+ltjYWNasWeNxs7TSwiECzwoKCigoKGBoaIgrV664KHWUe443XJzdg6oqKipQqVSyIuY3vvENEhISpIbcvUS8EHJiY2MJDw/HYrFITbpyfnhDX2dDaWFVqVQUFRVRUVHBwYMHGRkZAe5mkbh16xYNDQ10d3e7+Nh7ErPZLF1oGhsbeeONNzh9+jSbNm3iT//0T9mwYYPL65ubm/nggw/49a9/TU1NjdxLnnvuOTZs2ODiqqMs1DRXeMWJq/zS6urq+D//5/9w7tw5kpKS+MlPfsKuXbvu+15vN9WKiGWhWVjMiM1pamqKkydPcuTIEWw2G+vWraO8vFy+TmghHQ6HPDTctSnT09NcvnyZAwcO8Nlnn1FfX49araa8vJzs7GyvKE3qLrwGBQURHR3NihUrZES6MrPGYkPpfuNwOGROW3FJma2++GJFaQ6zWCwMDw9jsVhoa2uTc+3cuXO0t7cTGhpKTEwMpaWlrF+/noqKCmJiYjy+zwQHB1NUVMSSJUtYtWoVhw8fZv/+/dy4cUPmbq2urqasrAyr1conn3wi36vVasnOziYzM9NlrnpSWyfccNyFxsnJSU6fPs2RI0e4ePEiDQ0NLtpjkfJrYmKCpUuXsn79emw2G1qtlurqavLy8jAajVKYDQwMxGQySaF/ZmaGvXv38t5773HgwAEyMjIoLy8nKCjIo/NcaX10/250Ot09Ar43unuAqxC2dOlS4uLi0Gg00j/Z/cwWvwslRUdHBx0dHR7L9PFlEe2cmZlBq9USGxvLsmXLSE1Npa2tDbi73kZHRzlz5gwHDhzgmWeeISkpySX2wBN9Vs6lGzdu0NzcTGpqKs8++ywrVqy45/UFBQV897vfpbCwkLfeeosPP/wQwCWnv7CqzAcePXHtdruLM73D4aC+vp4jR44ATmHBbrczPj5OT08Pw8PDhIWFoVI5S6+mpKS4vNcbJ7m4ecbGxtLb2ysH0hvbej+E5kZ81xcvXuTjjz+mvb2dsrIytm7dKm+PYkzFZqSMah4dHaW9vZ3Ozk5u3brFkSNH2LdvHyaTiSVLlvD000+zc+dOli9fLhe5Jw5XZXCLTqeTpf6ElkhENAPSJ3QxoowKdjgcDAwMSDNzYGDgos6g4I67+X39+vV89tlnzMzMSPOlODTF68+fP09jYyMvvPACO3fuJCoqCri7HhYasZbCw8OlZrywsJBbt24xPDxMTk4OTz31FFqtlrfffpumpiaX4C2xhpW5Tz15SIrvUCQ27+vrk/EO58+flxWYBAkJCYSEhBAZGYlOpyMpKYknnniClStXolKpCA0Npaio6KHakJ+fT3h4OKdOnXLZozwlDAotuMjkoixGcPv2ba5fvy5dPETKqZmZGSnwecv5Jy7EwooxMzNDVVWVdMURgp37e0Q/JicnuXz5Mo2NjYBTBjAajczMzCw6qys4cyqvXLmSlpYW+vv75V4DTs3loUOHWLJkibRyibPTE2MpxsBoNNLW1obZbGbNmjWsX78ecMZEiEBskW0nMjKSiIgIIiMjCQkJwWg0Ul9fz8cff8zv/d7vkZSURFRUlMzwIlKozUX/PC68KnPxXbt2jaamJvkFDQ8P81d/9Vf8/Oc/d5HeHQ4H69ev5wc/+IGM9ha3NG9AOfnUajXx8fGkpqYyMjIiNQjeemueDWUgw9jYGIcOHZIJ0EU9+YiICJdqWu6T8/bt2+zfv59PP/2Uy5cvMzIyIh3Aq6ur0ev1bN68WaYDEnhSMxQWFkZCQgLJycm0t7fL5Nq1tbUcO3aMbdu2ERcXJzNfeMPh8ago07iMj4/LNCiLKdPAo1JQUMCmTZvo7u52iYQWpKamYrPZ6Orq4oMPPiA0NJTVq1d7XHh1R5TCtVqtTExMyBRYHR0dHD9+nKtXr0rhVQhFwcHBHveNFGl4xPyqq6vjk08+4cKFC1IQN5vN0jcVnAVqKioqKC4uJjc3l6ysLJKTk0lISJAmyUfpV2pqKq+//jrbt2+XOY0f9TPmEvcgUVEatrW1lUOHDnHq1CkGBgbketVqtcTFxXnNmSf2P1GBsLa2lnfeeQer1UpUVBRLly4FmDUAUim8WiwWmpubaW5uxmq1EhISIt3PFgtKN7fw8HCqq6tpaGjg0KFDLiVzJycnaW5ulj734FnfZdHusbExent7mZycJCEhgZycHMLCwqSFXJwNIyMjfPrpp/zjP/4j165dQ6fTERcXx8DAAP/4j//I1NQUr7/+OjqdzmVez9W54pEdWGxeyjrcx48f5+jRo9TU1BAUFMTMzAyTk5MyP5w7FouFl19+WQqvwlfP2xCppaanp10W4GISdoQWzmKxcOTIEfbu3cv09DQ7duxgx44dMurX/UBvamqisbGRjo4OGhoaOHPmDFeuXJGVYSoqKti4cSM7d+5k3bp1LtoGT34/So2j+y1YWAcOHjzIkiVLZLL3xSjwKTdKu91Oe3s7ra2tWK1WaeGAxVclbTaUF7D4+HjCw8PRaDRER0eTlpZGbm4u4eHhREdHo9VquXLlCocOHZJ+d96CMMOJQhLCHUe5dqxWK3FxccTHxzM9PY3D4SA9PZ0NGzZQUVHhomn0hD+5+Jujo6OcP3+ejz76iGPHjtHR0eGSu1atVrNt2zZWrlxJSkqKHKfk5GR5kXBHVCITgbLu1gNRrjwyMpLY2FhiY2PnubcPRrgmKatKgjM12IULFzh16hS1tbXcuHFDau0SEhJ45pln2LlzpxxLTwdTKpVHt2/floUJMjMzXS4hswlmQpMs0iV2dnbS19cHON0lUlJSXAp0ePry9UW4l65OSUkhISHBxVoXFBTE+Pg4XV1dLqXiPemi5W4RAacCR+RyVQZjT0xM8Omnn/Lf/tt/o7GxkejoaF577TVycnI4cuQIH330ET/96U+x2Wy88sor5Obmuvg4z4WQ7jH1gdhM2tvbef/993n77bepr6+XAl5gYKBLDlCVSiVTNIBT6+AtGjp33JMVd3d3c+vWLRe/rcVwk3RPkSRu0xcuXKCwsJDvf//7fO1rXyMgIEAG3dntdqanp7l27RoffvghH3/8Mc3NzfL7yMjIoKioiIKCAp544gm2b98uJ7Uwi4FnTdXib9tsNsxms0ukqMPhYGJigps3b0rNMSzeVFliXITwOjg4SHBwMLGxsS7C62Lq1xdx69Ytzp8/T1tbG2lpabz88sts3bpVWg9GR0eJjIzEZrMRERHBk08+6SIseVJQEPuhO8q1Exsby/Lly2lsbKSrqwur1Up6ejpPPvkkBQUFgDOIQlQYWyjsdruLkqGmpob/+T//JzU1NXJfFz6OFouFVatW8YMf/IDnn39+1nbO5tYSEhLiIsg/CG9wi1H6nINzXG7dusWhQ4fYs2cP58+fZ3R0VF6Mw8PD2b59O6+//jrLly8HPJ9iSVyoxLjevHmTY8eOMT4+TkFBAYmJiQ98vzIe4vr169y8eVM+l52dTWFhIaGhoV6RDuxR0Wq1xMfHExMT4yK/iDknsmV0d3eTmprq0aw1VqsVjUZDXFwciYmJqFQqOjo6aG9vJzMzk/b2dtrb25mamqKlpYX33nuPxsZG4uLi+MEPfsCPf/xj0tPTWbp0KSaTic8//5w333yT8fFxnnvuOcrKyoiMjJyzCpoLKryKyHsh2Z8/f55//ud/5qOPPnK5fQCEhoYSGxtLeno6RUVF5ObmEhsbK4UEpdYLPJNI/H64C6/T09NMTU25ZBzwJm3O/XAXXi9fvszx48cBZ7LpDRs2SJ/Pjo4O+vv7aWlpobGxkYsXL3Lx4kX6+/sBSExMZPny5Wzbto3Vq1eTkJAgo7nh7tyYraTjQiPGJiAgAK1WO2s1IlFidLGjnKciECYtLY3k5GSfEF7FhULkwmxvb+e9997j888/Z2xsjCeeeIL169dTVVUFODdwkW3giSeeICQkhNTUVBd/O29wGQBXP8mZmRm5diwWCwMDA4yMjLi4DSgjfj0xd92FnMbGRhnfoHzNhg0bWLVqFdXV1axdu3bWuSeK47jn0X6Uan6iSqMnLCZKzZNKpaKtrY3jx49z+vRp2tvb6e3tpb29XZaIBSgvL2fTpk08++yz0gwv3u9J3PcHoTlNT0+nqqrqnvSJYk4KQU5cNmpqavjFL34hMw2Vl5dTVVVFamoqsDjOTHA9IzQaDXl5eSxbtoyMjAxu3LghlSKCpqYmTp48ydatW2UKO0+nPsvPzycpKYljx47xZ3/2Z6SlpTEwMMDNmzfp7e1ldHQUi8XC8uXLefnll3n22WdJT08HYMWKFfzoRz8iLy+Py5cvc/jwYc6dO8fSpUvZtm0ba9asISoqCpPJhEajuSfrxMOy4MKrKD0Jzs3r8OHDTE9Pk5+fj8lkoqurC4fDQW5uLhs3bqSwsJDi4mIptd8PTws8SpSLWaVSkZiYSGpqKj09PffktvNmlBqBtrY2zpw5w+DgIOXl5WzduhWNRsPAwACXLl3iypUrXL9+nXPnznHt2jWZGHz16tUsW7aMgoICiouLWb58uXQzAKemISAgAI1G4yIkegOBgYGEhobKQ1/49Gq1WkJCQrzqwjQX2O12WeJXWU98sWk7lCiDB9Vqtcxw0dnZSXl5Odu2baO4uFi+XgSDRkREkJeXN+tnelpYECgjtIODg+X/zWYzt2/fpre3VwZXxMfHuxz+3rBfarVaoqKiMBqNpKamSqXE17/+dZ5++mnS0tKAu0JOYGCgFFQftziOWq32GjezGzduyJyaly5duud5nU7H8uXLefbZZ3n66afJy8uTFwHxnXga5ZoQcy45OZmMjAx58RMZFMS+qdSQ37hxg/fff59//dd/xWw2U1hYyMsvv8zatWvlOHvDnH1YxPiIAKXi4mIKCgq4ffu2vHgJGhoaOHjwIAUFBVJ49YQbpHI9LV++nF27drF3714+/PBDl74EBgYSHx9PRUUFzz77LNu3bycpKUleCAMDA9m4cSOlpaWcP3+et99+m08//ZQLFy5w6dIl1q1bR1VVFcXFxY9VPnbBVQjKhRYVFcX69etJSUkhNTWVmpoaPvzwQ2w2G6tXr+Z73/semZmZBAQEfGnp3BMo1eIBAQHk5+dTVlbG+Pi4i/DqzTdJ4UQfEBDA0NAQhw8f5uTJk6jVatauXUtmZiYnTpzg8OHDnD9/nq6uLsbGxqSmIDU1laeeeoqnn36asrIyaTZxF1CV6Zi8RSgQ2O12LBaLvCUrTezePHZfBovFwuTkpKzmlJ2d7aLNWgxuLrOhHCdhku3t7SUrK4tdu3bx9NNPExsbe8/ButhQ9lOj0bgEPubm5lJdXe1iqfKE9ti93PKyZcv47ne/y9TUFBkZGWRlZZGXl0deXp48xOGu0KK8THvbXvGwKAOb7HY7ra2t/Pa3v+XNN9+kqakJcI6fsNLpdDp27tzJSy+9xIYNG6QWU2kR8waU+0NsbCwRERGYzWbGx8eloCasa8o15nA4qKur43e/+x2HDx+We21xcTGbN2+WucM97RrxqLgXONHpdBQXF9PU1ERLS4sMoLRardJiqdSye2K/VY5LUVERP/rRj8jIyODzzz/n9u3bMvVXVVUVhYWFJCQkEBcXJ31iAZfLdGpqKnFxcbIM85kzZ6itreXMmTM8++yz/Nt/+29ldbsvc/4v6A7mnox66dKlJCQkEB0dTXd3N4cOHWJycpKYmBiWLl0q6+VarVYp9ClL0Hm6Msz9cE9WnJGRQU5ODpcuXWJ4eBjwHtPj/RBJsgH6+/s5e/YsAwMDhIeH09fXxwcffMDVq1c5ceKEHBuNRkNZWRnLly9n5cqVrFq1itLSUpfUKFarFavVKueCN38PQqATlYtE1KTZbJb9WMwoLQSTk5MYjUbCwsJITU2VORnFoeGN6+xhECZhu93O+fPnOXXqFFarle3bt/Pss8+6+OMpL9bCLUQcQt5+cCqFV6VwBE5hQqkBE69ZaNz9dUtKSoiMjGR6epqYmBgyMjJc8kOK1DrevEc8Kkq3uZmZGS5dusThw4dpbW1FrVYTGRkp95vw8HC2bdvGN7/5TbZt2yY1cUr/Zm/A/SIfFRVFaGgovb29XLx4kZycHCoqKqS2fHh4mPHxcYaGhqivr+fAgQMcOXKEvr4+kpKSWL16NS+++KL0z16seaaV8zYxMZHq6mpOnDghfXojIyPlOZuYmOiioPNksLIIBhVKp7KyMgYGBoiMjKSwsPCedHTC/UaZtk3MUa1Wy+bNm0lOTmbt2rXU1NTQ0dFBeXk5iYmJj5Vb2SOaVyFlL1myhKysLLq6uqivr+fChQuAc1CVN2+hsvb2A+R+CEFbiTcvRvfKOy0tLZw+fZqxsTGCgoL45JNP7hHeEhISWLNmDTt37uSJJ56QJRfdeVxz30IiNEWivUajUfoizZXTuSdRrqebN2/S2tqKyWRyKZEqorMXm/Dq7l/f1NTEBx98wNmzZ0lJSWHLli3ycjybVse9qIa3o9xPzGazzJkKzoNQXLg8jXIexcTEuPhDKp8Tfsq+hjK3ssVioauri56eHqlJHR8fx263ExISwo4dO/j2t7/N5s2bpeDqrrn0BpSCCzij0rOzs2lra2Pv3r3SnFxUVER7ezvnzp3jxo0btLS0yMBJgOTkZHbs2MF3v/td1qxZIwOBAwICFs2ZoUSlUslqYjqdjhUrVrBkyRJZLW56elrmOF+1apXMnASeU265j2VaWhopKSkuFgN33NvqfkkNCAigpKSEoqIivvGNb0irrnjflz1bPJYqS2gn1Wo1Q0NDXL9+XabHiI+PdwkuEKm1FgvuKvDp6Wmmp6ddBl6YKb1RIFdOYKPRyIULF7hy5QpwN61JWFgYlZWVJCcnEx8fT2FhIStWrKCoqMjFp1WUxhU+h97YX3fE2IWEhFBQUEBpaSmdnZ0uCaZjYmJcfLAXkyCrDEgD5/wUfsuAS/ogpQZ+MaG8gFksFk6dOsXRo0cJCQnhySefpLKyUmY0EQL6YkYpvNpsNqampmSWDKEJ8UbXD+U+abPZZBDWYhRWHgaltSMgIACdTkdoaKhLMO+mTZt46qmnWLlyJSUlJdLVymw2e+08VfpnZmdns23bNq5evcqFCxfo7Ozk+vXrpKSk0NfXR2Njo8y+o1arycrKory8nLVr17Jx40YqKipctHiLHTHeiYmJrF+/noaGBurq6uT6FHlwhbULPO/fq0zh5n62mc1mLBbLF1pPhQJByBPu5eEfF4/sEMoNy2q1MjU1JUv5qdVqmVlAsJhKxMG9AVvR0dHodLp7So16eoI+CHFzGh4eRqvVkpGRQVdXF1lZWRQUFFBeXk5ZWRlxcXHypi205eK2OR8TdiFQLtaysjJ27dqFxWLh9OnTqFQqKisr2bBhAykpKfJ1i1E7KTCbzWi1WvLy8khISJBRo4sZpQB048YNjh8/Tnt7Ozt27OD555+XfRSXqsWOu/A6Pj4uBSKtVktQUJBX9lPpw7oY94pHRTkGWq2WpUuXsnnzZkZHR2lra2PVqlX8yZ/8Cc899xxwV8nhTQFms6EsJBAdHc3mzZtpbGyku7ub3t5ePvroI/laIRBlZGSwevVqGdRbUVEhFQIi8GexX2KULoQajYYnnngCh8PB559/zqlTpwgICKCyspLMzEy0Wu09BTw82W5lDnCxTsU8fJi5qPT7FcoEpdLucbN8eHxmCCFHaOgiIyNZsmSJi9uAN266D0K0VyzA4uJiVqxYwZ49e+js7CQpKYnk5GT5Om+8XYpJFR0dzYsvvkh1dTUmk4nQ0FB0Oh0xMTFERUVJ86pykxGmMW/VLD8I940jKSlJ1nYWeV1jYmJISkpy0TAvpjnqvmGEhYWxY8cOCgsLCQ4OlqV+gYfOmelNKKOwh4aGOH78OOfPnycwMJCqqiqWL19OQECALFXp6YNirhH+ogIhFHpbP91TCi6mNfRlUfYxMDCQoqIivv/977Nz506mpqaIjY118SkUvsveGNDqjrJ9CQkJfPOb3yQ7O5uTJ09y6tQpbt26RVpaGqtWrZJV0kpKSsjMzJTFQZQshj5/Ee6uMNnZ2URHR7N69WoGBgZQq9WkpqbKdGDetgaU6fhEwOSXGRPl54jfH3d8PSK8KhstfFmFilnk1nSPSFyMk1hZcGHlypW89NJL5OfnU1hYSFlZmXydNx4sgtDQUHJzc8nNzX3g60QaKV+4LQtEf5KSkmTtaV9Eo9GQmZnpIrQKh/vFdvkA1/KtPT09HD9+nNu3b1NSUkJxcbFPmSQFyjUXFRXFhg0baGxspKmpiaGhISYnJ13S83hD371Bw+RpwsLCyMnJkVH1ApG3dzGtQTGWQlNcWFhIbm4uy5cvp7q6mr6+PhITEykrK5NCnPKcV5YX95UzRIlKpSIoKEjmOF8MuGdN+LLMR4yIx2eIe3CQ8HvyRv+sR0W5MJOSkvjDP/xDZmZmCAoKcoks9DYH/C/DYtlgH4Wv8sG6mA8PZWDS8PAwjY2NhIWF8eSTT1JYWCif86U5K/YQm81GTEwMr732Gna7nTfffNMntcu+zmI+E9y1y0uXLiU/P99FOTXb2hNKLD9+HgaP+7yCMyVIeHg4QUFBxMfHk5ub65KTUOk3spgQbRaaIPciC4shZ6EwQYoa7+IGpTRFLtbxeVisVisWi0UKRUK77InKPPOBCOgxm82o1WpCQkIWdb/cc7tarVaZdDsrK0seootZQLgfom8xMTHs3r1b5rAtKytzuTB7m3nyq4qIxBcBdQEBATL2Y7Gj1KS652kX/o9w19/5q6KJF5l6xHkSFBTktWk/vRmPCa/KgKaEhARKSkqorq6msLCQ6upqIiMj7ylPulhROi0LF4jFslBFyprFGHE+V/iSK8RsCHOWNweEPArK/SIqKoqqqirKy8tZsWIFcFczu9j3ldkQY+hwOMjKyiIrK2vW1/mCcOQLPEoAzGLDPQ5CIBQeX9U56OvnyULhFZpXnU7Hli1bWLJkiUyoPdvrFjNCu6XMW/dVXbx+/MwnyotWTk4OP/jBD1x8zHx97SlLU/rx42mUUebKHNm+dL77WXgeWXjV6/Xz0Q6vwdf7B77fR1/vH/j76Av4ev/A9/vo6/0Dfx99AV/sn++qH/z48ePHjx8/fvz4HCp/dJ8fP378+PHjx4+fxYJf8+rHjx8/fvz48eNn0eAXXv348ePHjx8/fvwsGvzCqx8/fvz48ePHj59Fg1949ePHjx8/fvz48bNo8FimXL1e/x3gF1/wMrvBYFi0mcT1ev3XgY1AObAMiADeNhgMr3qyXXOFXq+PBXYDTwNLgVTADFzBOba/MBgMi7rO71dgDH29f9/Bx/eZ2dDr9a8B/3rn1x8YDIafe7I9j8tXZK/570AlkA/EAUagHfgd8PcGg2HIc62bG/R6fRuQeZ+n+wwGQ9ICNmfO+Qrsp16zDj1Z5qEO+C/3eW49sBnYt2CtmR/+I84JPAl0AYUPfvmi40XgH4Ae4AjQASQCzwM/B3bq9foXDQbDYk5p4etj6Ov9q8P39xkX9Hp9OvB3OMc03MPNmSu+CnvNvwFqgQNAPxAGVAN/DvxQr9dXGwyGTs81b84YA/5mlscnF7gd84Gv76desw49JrwaDIY6nAfLPej1+tN3/vt/Fqo988S/wTmBb+K8jR3xbHPmnOvAs8CnytuWXq//D8A54AWck/q3nmnenODrY+jT/fuK7DMSvV6vwqkBGQI+AH7i2RbNGV+FvSbSYDCY3B/U6/X/FfgPwL8HfCHb/KjBYPhzTzdinvDp/RQvWodeV2BXr9eX4rxtdgOferg5j4XBYJAT1xcrXBgMhsP3ebxXr9f/I/BfgSdYxAfKV2AMfbp/98OX9hk3/hinNvmJOz99gq/IXnOP4HqHX+MUXvMWsDl+vgS+vp960zr0OuEV+IM7P//ZYDDYPNoSP4+D5c5Pq0db4cfP7PjcPqPX64uAvwT+1mAwHNfr9T4jvH4Bvr7XfO3Oz3qPtmLu0Or1+leBDGAKZ7+O+8o6/AqzoOvQq4RXvV4fArwK2HH6T/hZhOj1+kDgW3d+/cyTbfHjxx1f3GfurLm3cPqg/QcPN2fB8MW9Rq/X/wSnr3IUzgCudTgFvL/0ZLvmkCScc1XJLb1e/12DwXDMEw3y83h4Yh16W6qsbwA6YJ+POKZ/VflLoBTYazAYPvd0Y/z4ccMX95n/B1gOfMdgMBg93ZgFxBf3mp8A/xn4U5yC62fANoPBMODJRs0RvwC24BRgw3BGrP8MyAL26fX6ZZ5rmp/HYMHXoVdpXoEf3vn5M4+2ws+XRq/X/zHw74Am4DUPN8ePn9nwqX1Gr9evxKlt/V8Gg+H0F73eV/DVvUaki9Lr9YnAGpyCwSW9Xv+MwWCo9WjjHhODweCe+eMq8CO9Xj+Jcyz/HGcqJj+LBE+tQ6/RvOr1+mKcC7UL2Ovh5vj5Euj1+j8E/hZoADYZDIZhDzfJjx8XfG2fUbgLXAf+k4ebs2B8FfYag8HQZzAYPgS2AbHczdvri/zjnZ8bPNoKP4+EJ9eh1wiv+GAAxVcJvV7/p8Df47xJbzIYDL2ebZEfP7Pia/tMOM6k9kWASa/XO8Q/nKZngH+689jfeKqRc8lXba8xGAztOIWDEr1eH+fp9swT/Xd+hnm0FX4eGk+vQ69wG9Dr9cE41c124J893Bw/j4her///4TRt1QFbDQbDoGdb5MfPvfjoPjPD/ftSgdMP9iTQDCx6l4Kv8F6TcuenL1y4ZmP1nZ+tHm2Fn4fCG9ahVwivOKs2RAOf+FAAxVcCvV7/n4D/F7iIM6jA58x3fnwGn9tn7gRnfX+25/R6/Z/jFF7fXOzlYcG39xq9Xl+IM3l/r9vjauD/AxKAGoPBMOKJ9s0Fer2+BOhxHze9Xp+JU4MH8MsFb5ifR8Jb1qG3CK8igMJnKt0A6PX6XcCuO7+Kms2r9Xr9G3f+P2gwGBZtBRy9Xv9tnJPYBpwA/niWxMxtBoPhjQVu2pzxFRjDXfhw/9zwyX3mq8BXYK/ZAfyVXq8/DrTgrJCWiLNK0xKgF/iB55o3J7wI/F96vf4IcAuYAHKAp4FgnD7o/9NzzXt8fH0/9aZ16HHh9U5i7XX4SACFG+XAt90eW3LnH0A7i7t8Y/adnwE407rMxjHgjYVozDxRjm+PYTm+3T/A5/eZrwK+vtccxHmpWgssw5nKbQpnIN5bwP/2AU3zEaAApzVgNU7/1lGcbi1vAW8ZDAaHx1o3N5Tj2/up16xDlcOx2OeKHz9+/Pjx48ePn68K3pRtwI8fP378+PHjx4+fB+IXXv348ePHjx8/fvwsGvzCqx8/fvz48ePHj59Fg1949ePHjx8/fvz48bNo8Auvfvz48ePHjx8/fhYND50q6065wUWNwWBQ3e85X+8f+H4ffaF/4Pt99M9T3+4f+H4ffaF/4Pt99M9T3+2fX/Pqx48fP378+PHjZ9HwyEUKDAbDfLRjXpmlAsR98fX+gWf66HA4cDgcqFQqVKoHXoZnxdfHEHy/j4thnj4uCz2Gdrv9S6+pL4N/DF1ZjP0D3++jf5664ov983iFLT++i81mAyAgIGBBD1g/fh4Gh8OBxWLBarVis9mw2+0EBAQQFBSERqPx2vlqsVhQqVQEBgaiVrsaz+x2+z2P+fHjx4+v4RdeHxO73Q7gF85mISAgAACz2czk5CRms5ng4GDCw8MJDPRPPV9HaNq9DWEFUKvVBAUFERQU5OkmPRRir9FoNABMTU0xMTGBSqUiIiKC0NDQr5zgarfbUVaJFPuwN847gZh/SkuUN7d3oRBjqVKpvnLz2M+j45cgHgOHw4HVasVutxMYGOgXyO6gFFomJyc5f/48H374IdevX2fNmjW88sor5OTkyEPHv3H7Jt46vna7HZvNtmiEVoHZbJYCt81m47333uP9998nJCSEb33rW+zatQtwambVarW8PPoyNptN7sFCGy2Ee2/F4XBgNpux2Wyyvd62RhYapRUkKCjIL7z6+UIWXNpyOBz3aCsfZuGKW5ndbpemscDAQI8uepVK5XIAftnDWtzCBYt14So1Wna7naamJs6cOcOJEyd49913MZlMjI+Ps3nzZpYsWeLp5sr22mw2l+//YVCpVAQEBCzasXpclNoj5bp0OBwEBASg0Wg89t0o2yLWonJuBgYGEhAQgNVqpauri4GBAUZGRpiYmCAyMpLc3FxSUlLQarUeab87Yr8MDg4GnBfCffv28ctf/pIjR44AUF5eLoVXpbuOr6CcY4AUzjUazazCqrdenMDZdjGWc4G4jIlzcbHtS2KdarVar1lzfhYOcfkUe/PDsuDCqzAJPGrwjniP+Axv3JS+LL7SF6UQPj4+zp49e3jjjTfo6enBZDIBEBcXN6cb9+Mgvnfl3HqU9/rKuH0ZRP/dL17e4CqgvBSLtigvzODUYp47d479+/dz9epVmpqa6OzspLS0lB/96Ec89dRTxMfHy8/0ZL+E4CYEkvfffx+DwUBTUxMA4eHhLmvKF+emuyn5i/rna/1/EIv9bFxs7fUzt4h1/ajzYMGEV/fF9bANtdlscuMS2i73z12oye+uyenv7+fSpUsMDAxQXl7O0qVLAafZ7lG0wt6sJXgUxCS02+00NjZSU1MjD9jAwEBSUlJYsWIFWVlZqFQqObYL0W+hYVVenu43px4FZaDPYtJ2PCrCRcZms8kbsvj+ZvNRczgcjIyMEBAQQEhIyIKYcpXryH1Mle1raWnh448/5vDhw9y+fZuoqCgyMjJIS0ujsLCQ9PT0ey5YnhRcAwICCAgIYGhoiL179/LGG29w4cIFwKmNzc/PJzExUb7HV+eh+7gODw/T0NDAzZs3GRkZISwsjNzcXIqKikhOTgacWp3HXeNzicPhoKuri5qaGjo7O1myZAkrV64kLS3N5TWPOt/EHFlMKK0hQ0NDHDp0iM7OTpYvX86qVasICwvzdBPnDHFOiD1K6fMsLEFfBYQSQZwlQUFB95ydNpvtob6PBRNe3c13D+uYLTqhNPF6ym1A+CgBTE9Pc+rUKf72b/+WtrY2/v2///dSeDWbzTLC/n6I/jscDjo6Oujs7CQhIYH8/Hxg4VPgPC5Wq1V+Nzdv3mT//v20trbK52NiYli7di3r1q0jLi4O4JG1nY+D2CSUv8NdE7NYVI/yeeLA8NWNx/3COZuJVnxvZrMZh8NBYGAgg4ODXLlyhaGhIVJTUyksLCQhIWHe26vcY8T6UV5YLBYLra2tvP/++7z11lsMDw+zfv16nnrqKSoqKsjIyECn03mVL6zFYpHt2b9/P3/9139NfX293Duio6OprKwkJydHvkdcKnwJk8lEb28vVquVxMRELBYLR48e5Te/+Q0HDx5kYGAAgJ07d/Lqq6+ydetW4uPjCQwMfOS1PdcoteZjY2OcOHGCv/qrv6Kuro6Kigp+8pOfsGvXLkJCQgDXc+ZhUMZeLBa3AaXldWZmhtOnT/MXf/EX1NXVsXv3bsLCwqisrJR768MKNN6KL58TX4TyHBHzUrnH2mw2F6XIw35P8y68KoUwm83GrVu3aG9vx2w2Ex0dTUpKComJiff4uignq81mo6Wlhc7OTlpaWrhx4waJiYns2rWL3NxcwFV4mi+Uf2NsbIyDBw9y/PhxAIxGo3yduyl1NsQGZbVaOXHiBL/61a/Iz89Hr9dLAXYxIfpjMpmoqanhww8/5ObNm7KPJSUlvPrqq2zYsEG+JzAwcEEFWHAegiaTiYCAAEwmE62trVy5coWOjg7MZrNcVFar9b6fERAQQHJyMitXrmTp0qVotVrpN/tFlxZvxGazYbFY5KEnfOjE2Ij0UUpGRkbo7e1laGiIgYEBrl27RlNTE0ajEZvNxtjYGFFRUWzYsIH4+PgFEV7BGYHf1NREa2urDP5QqVRMT0/T0dHBhQsXaGpqIjw8nGeffZbnnnuOpUuXEh0dvSDte1jE4a7RaJicnKSuro4DBw5w7do17HY7ISEhJCYm8uSTT/Laa69RVVUl3+cLh6RS+2ixWLh58ybvvvsuV65cYenSpcTFxXH06FGOHDnC+Pi4fN++ffvQarVoNBq2bNlCTEyMPDA95fqhFF5v3rzJ0aNHuXXrFgC1tbUcO3aMNWvWkJmZ6RIT8qDPU7rtNDY2cuzYMZqbm0lLS2PTpk2UlJR4jXvWbFitVnkRvnHjBnv27JFWumPHjlFZWUlxcTERERFSabVY5rUIIgQe+jLhK9ZXdywWC2azGYCQkBAXl1FwnscHDx6koaGBnJwcdu7cSWho6EPJBfMuvAqzAEB/fz979+7l1KlT2O12dDodhYWFPP300xQWFgJ3BUSlxrWuro5PP/2UpqYmmpqauHTpEsuWLWPlypULKryKQAhwBk1cvXpV/h4ZGSn//7ABaOIzb9y4wb59+7h06RKVlZWkpqZKk4m3521UOtsDdHZ2Ul9fT0NDAxaLhZCQECorK3n++efZvHkzGo1G3rSEYDHfbQOnpry1tZXm5mZpzjYajTQ1NXHu3Dlu3LghhdeAgACXzVLZRrEppaWl0dzcTFVVFTqdjoyMDEpKSlw0ut48bnBXQ+muFRCBMErMZjMmk4nJyUlaWlqoq6vjxo0bdHV1cfv2bfnT4XAQERFBYWEhhYWFxMTEzOu6VH7PAwMDnDx5kgMHDtDa2irztc7MzADOOdDf309SUhK7d+/mxRdfJCkpCXCOq9lslu4Qnr6EmM1mtFotKpUKs9nM8ePHqa2tlc+r1WoqKyt58cUXWbduHXBXA+ft0faPis1mo6enh8OHD3P69GlOnDhBamqq3H91Oh1LlixhYmKCGzdusHfvXsB5cFZXV5OSkkJwcLDHBQOLxcKVK1c4e/asDPY1m81cvXqVwcFBMjMzH+pzhJYqICAAi8XCsWPH+Nu//Vuam5vJzs5maGiIkJAQiouLXV7v6f4LRGYBMU9bWlo4evQoVquV4OBghoeHuXLlCiaTSQqvntaePwjRPiHrzKZlnZqaYnp6WgplIrOCRqMhMjKS8PBw+VneMk6PgnsAL9w9R5T7kcVikdk2WltbOX78OIcOHWJwcJCnnnqKrVu3PvTfnHfhVQyi0Wjk7Nmz/PrXv+b8+fOEhIQwNTVFenq69DUDmJmZkQeHxWKhrq6Od955hw8//JDh4WGp4RwfH3fRdi70gNvt9sf6++L1NpuN0NBQgoKCGBwcpL6+nnXr1knhVWw83orSxGWxWGhoaKC1tVUK+kVFRfz4xz/mueeek5oAtVq9IH0SAgA4heqf//znHDp0iMnJSWkJMBqNjI+PSwFHcL/IR6vVisPhYHJykr6+Pj7++GOioqJ47rnnSEhIICkpSWoKvHnc4F4LwczMDOPj4+h0OpcNx2g0cvnyZWpra7l69SpXr17lxo0bjI6OykC8/Px8nnvuOakR3Lx5MytWrECr1c6rBkjkDga4evUq//AP/8ClS5dISkoiLS2NyclJRkdHSUpKorq6moyMDHJycigrK3PxExXaZW/Ju6kcl/Hxca5fv053d7d8PDIykrVr11JZWSlf5+4as5gRlypwzsuRkRG5nkRmCEF1dTUvv/wyJpOJv/mbv6GpqYl9+/ZhNBrp6elh165d0q3CExo8Zbtv3brFrVu3mJiYcHFBe1ThTMyD4eFhampqaG5uBqC3t5djx45RXV0thVchJHl6TitR9ndiYoLOzk6pgBIBiN6+fwoepLAwGo0MDAxw+fJlrl27htlsRqVSMTw8zPDwMImJiWzZsoUNGzYQEhIiteqLpe8CZfCu6IO7IC6UHDabjaamJj766CPOnTuHVqtl06ZN8rwQn/dFzNtOp0ybMzMzI9MlnTt3zkWVfOvWLemvBHcd7AF6enr48MMPeeedd+jt7XVteGAgPT09TExMEBERseB+au4TbHp6Wv7/YW65ygkfERFBQkICXV1dNDU10dvbS1ZWFrCwfqFfBmEGMJvN1NXV8fnnn1NTU4PdbqesrIzXXnuNr33ta0RFRQFOM8FCmbMsFotcDN3d3fz617+mp6dn1teK3ILChG632+UcnQ2z2UxfX5/8XaVSkZiYyLPPPktaWpoU/rzxJi00H6LPExMTnD9/ntraWsbGxkhOTiY1NZXw8HDMZjNtbW3U1NRw6tQpae4ESE9PJyUlhYyMDNasWcPKlSsJCwsjIiJiQVKhiX6I+dTe3s7JkycJDw/nmWeeoaioiPHxcUwmE/Hx8SxfvpycnByXQBDhQqLRaLxC8BMHYHBwMA6Hg+bmZj7++GMuX77MxMSE1Pzn5eWxbNkyYmJicDgcGI1GQkNDvW6ufVmUwmt7eztHjx6lv7+f8PBwJicnUavVLF26lLKyMnbs2MHXvvY1xsbGOHXqFE1NTczMzHD58mWys7NdLqaeEF7FmExNTTE5OcnU1BRw14qTlZUlNW8Pg9hbpqenOXv2rBRcwZnNJTY21sUNz9vnhEhbJ6ioqGDlypVyXXtTwJ0SEX+j0WhctK1dXV20tbXR3d3NwMAA/f39NDU1cf36dcbHx7Hb7XIuxMfHMz4+TkhICFVVVdLv2dvODREXIvosLspCBhIKKaVMNDMzQ2trK0NDQ/T29nLx4kWuXbvG1NQUYWFhWK1WcnJySE9PZ/fu3axbtw6tVvvQVst5262FcGe322lubuaDDz5g7969WCwW2fCZmRni4+PR6XQu7xMD19HRwdGjR6XgqtPpGB0dBZw+p5cvX6asrIzly5e7SP4LcWtxN2UI37/4+PiHuuW6p/CxWCwAtLa23lfA8iaUAXcOh4Pr16+zd+9e9u7dy8DAABqNhhdeeIFvfetbREdHY7Va5zy/4aOg9ENSqVQEBwe7aM7FjfhRLgvK1zc1NfHuu+8SHx/Piy++CHhvsnjlYTAxMcEnn3zCv/zLv3Du3DlMJhPR0dFER0cTHByMyWRidHSUkZERZmZmUKvV5OXlUVVVRWVlJUuXLiU7O5uEhATp0+QpRkdHcTgcVFZW8u1vf5vCwkIpnIo+u69Lb/MLFOskMDAQi8XCe++9xz/+4z+6XJTy8vJYv369vOD6ksZVIObR1NQUp06dYs+ePXR1dcl+RkZGsn37dp577jmWL19OWFgYAQEBVFdXc+3aNerq6piZmWFmZuaB/usLgTKqPDg4WLqyBAcHk5WVRWlpqYvP9f3ODmHREd9BU1MTR44cYXBwUL4mNjaWLVu2SEsm4PF86F+EEPwsFguhoaFUVFRQXl4uFVLeKry67yc2m43r16+zf/9+Pv/8cxobG+W+KQLqlCn7HA4HnZ2dfP755wQHB6PT6SgrKwPwOvcfIZgqx2G2OSViHqxWK7W1tXzwwQecO3dOWul6enqwWq08/fTTfO973yMhIQGVSkVhYSGhoaGP1KZ52fGU/qddXV3s3buXY8eOSVOP6HR4eDirV6+WmzDcDeJRqVRMTEy4mIeEUOhwOKQPY1dXF8uWLSMgIOChAqXmCuFfJujq6qKxsZHw8PBHuj2J9opJffv2bbq7u6VGWWgAZ6tj7klEhRih7Wlra+P06dO0t7cD8MQTT7Bx40ZiYmIA5y3sUSfn46Jc/KmpqezevZvDhw9LIUz43opDQfjoZmZmUlhYSGpqKkFBQVgsFvlveHiYq1ev0tjYyMzMjAzWstls97iyLOR8fFiMRiPBwcEEBAQwPDzMv/7rv/LOO+9w+fJlqaHq6+tzEZYAsrOzqaysJDc3l+LiYkpKSkhNTb1vIJbZbJb7wHyZLEVAEzj3HNHm2NhYmaN1NuFUCIjetJ4EQqsh/i8sMYLAwEBWrFjB9u3bZTooYFbLk0hHcz8zpHJuin1V/H1PRUcLzaiw2B0/fpzPP/+crq4u4K62MiwsjOTkZHJzc6UmXavVsm3bNikoXL58mUuXLlFbW0tmZiZRUVEe6ZP4njUajfRjFr8nJyeTlpYm+/AglxX3/aSjo4OGhgYmJyflY9HR0RQXF0tf7oVS5swVISEhREVFER4e/kh5fRcSZcCcWq1mbGyM2tpaamtraW5ulvNOKKQEarVaXvQnJycZHBykv7+ftrY29u7dS2lpKfn5+V7tMuE+DsJtzGg00tbWxoULF6RbTENDAzU1NZhMJtLT01m2bBlPPfUUOp2OkpISli1bRlpaGlqt1qW/D9v3eRFelbfDGzduyAAKIYCJxZadnU1VVRUpKSnyvUqBLzo6moiICPnczMyMXLxBQUHExsai0+nk6x9Vc/Y4uG8kw8PD9Pb2YjKZpPCqNH096HOUN0vhgzk1NUVERITLZudNiI0YYHBwkIaGBhobGwFYu3Yt3/rWtygpKZGv90TOPqXwmpGRwbe//W1ycnJobGzEZrO5+Nc4HA5mZmYIDw+nuLiY6upqcnNzCQoKkmYMlUrF9evXefPNN2ltbWVqakoKB4GBgdJ3WeANvpPuCL9Om83G3r17+dnPfkZTU5Psg7jxh4aGotVqCQ8Pp6CggCeffJJ169aRnZ1NbGysS05f5WYu/gUFBS2IK49YN2NjY4yNjUm/3b6+PmJjYzGZTPeYtsR73AsXwL3pwbwNjUZDUVERVVVVBAcHPzCn9FyUrF7olH3K4CKj0cjFixe5cuWKvASJy+H09DRTU1MYjUbsdrt0EcrNzWXDhg0cOHCAuro66urq+Pjjj4mLi2Pz5s3yAr2Q7gNi/hmNRkwmk8scCw8PJzw8/JHHyWKx0NPTQ3t7u0u2BZVKJdeuMiWltyO+E7VaTVRUFJGRkV4pwCkvA2azmZ6eHs6ePcunn37K/v375UUzKCiI8PBwYmJiyMjIIDQ0lLCwMAoLC8nOzmZwcJDLly9z9uxZ2trauHnzJleuXKGtrY28vDyv67vdbmd6epqZmRk0Gg1ms5mOjg66u7uZmZlhcHCQ8+fPc+DAATo7O+X7QkJCqK6uln69VVVVREdHMz09TW9vL5OTky4p4h5lTc6L8Kp0RL9+/TptbW0ysCIwMFD6EmZmZlJZWekS8avUPISHh7v47igXeFRUFOvWrWP58uXSPWGhTbTKTWE2Tc6X2TTcS2u6f4anN6PZXDPq6uqoqamhq6uL4OBg1q1bx7Zt24iLi5PmeE+YQJRtDA8PlwUSRkdHsdvtcj4J1wchCOh0OqKjo2f1v4mJiUGr1bpkIhCHrfv4e1OEr4juFRqtd999l5/97Gdcv34dcPZDaLXS09NZuXIlZWVllJSUsGTJEhITE4mOjp71kFVe4h42f/Nco3ThUQpboh3KPJhivJVtFXuI0p/LG03xAQEB0qUDHt41xWg0YrFYXC76ot/CciBM7wJhkbify8V8454TXDke4pKl0WhkOwWhoaHodDoiIiKYmJjg5MmTpKenU1FRIYVXq9U672eF8tI7MzNDR0cHPT09cq4qS90+Klarlf7+ftrb2118esPDw4mIiHBxo/M23MdSaa0KDg6msLBQZl4QMRLesI8qMyQIf+NPPvmE06dP09HR4WIhKS8vp6SkhOXLl7N8+XLi4uJk6j4RKHrmzBkZU+BwOBgYGOD27dukpaV5PPuA8u/abDYZT3Dx4kVMJhMajYaBgQE6OjqYmppiYmKCnp4el7lYWlrKjh07qK6uJj8/n4yMDBn7EhoaSmJi4he6ITyIOd2dlQLk2NgYp0+f5vTp04yMjADOL0EpxCQmJpKfny83lMDAQCIiIjAajQwNDXHmzBmXCaFc5EFBQWRkZEjNrDI4xxPMluj+YTYOd6HXbDYzPT0tBYmhoSGmp6eJiIiQWmZPT2iVSsXo6CidnZ1YLBY6OjpkIM/GjRvZvn27NCcHBQW5HCyeRKvVkpKS4qLp/yLE2ExOTtLc3Mzhw4epqanBaDS6CDxxcXGsWLHCJUevN6XLEutufHycAwcO8MYbb3D69Gngbh8zMzNZtmwZFRUVrFixgrKyMjIyMuRnCAFfIPIXeqKP4rsVqdfa2tro6urC4XC4mKHE719GC6xMf7OQ6025b7jvKRqN5oHafSHI2Ww2pqampIBz+/ZtGSgk3APEuhR7TUZGhkxvFhoaSkxMzIJfOpV9Eda16OhoOjs7mZiYQK1Wo9VqWblyJaWlpSQkJNyT2k2j0Uj3lnPnzjEwMEB9fb3sP7Age5Iy48jo6CgXLlzg2rVrcnytVisTExMYjcaHOiuUlkWr1YrRaJTCQkxMDMuWLWPr1q0uWTS8QeibDY1Gg9VqpaWlhfr6ejke5eXlFBQUyNd5U4osMcfMZjOnTp3iV7/6FZ999pmUUYTgXVlZKc8CpQuHO2VlZaSkpBAREcHMzAyjo6OMjY25uDp5yvdVaEFVKmeqvtraWn79619z/PhxF1dOQXBwsAz0TUxMJDU1lcrKStasWUN6erpLBimRBcjdGvuo58icCq/KxdrX18dnn33G0aNHXTqrXKRig1RisVi4cOECBw4c4ODBg3R3d8vnlFK93W6X/hbg+UU6lzdcsUkNDg5y5MgR2tvbWbt2LatXrwbu3gAXus8iyADg+vXr/PSnPyUsLIyUlBRCQ0MpLCzk1Vdf5YknngDudYlYrExOTnL+/Hk++OAD9uzZI/16o6KiGBsbA5wRwy+88AIVFRWA6y3dkwifXqHpOHDgAD/96U85f/68fI1araa0tJTvfve77Nq1i9jYWAICAmYtkeot2kjlXjM1NUV9fb3UIgs/ZCF8Ki8RwrdZ9G1mZobh4WEZSBobGyv/hlJL6Slms7w8aK8RLiGdnZ0yJ+qVK1fo6+vDaDRiNptRq9Uu/voi/VtWVpYMwCssLGTVqlUugsRC4N43oVkWLi2BgYFs2bKFV155hdWrV896KYmNjaWqqoobN25w9uxZwDlHlILQQmgklX9P5JRua2u7x0rgrtV+0HxTPifMreBUBH3ve9/j6aefJioqykX48CaUFqDBwUH279/PgQMHsFqtcs4pMy94yx4qzjCr1UpNTQ1vv/02H330kQwg12g0VFZW8p3vfIfNmzeTmJg4a0VCZTzQ1NSUrMZptVrp7e2lra2NkZER6bPvKZQuj1arle7ubnp6emS5b6vVisViISIiguLiYsrKyigrK5PudkKx4R7EO5c5tOdceBWDNTExQW1trfR/UCanF0xPTzMyMoJOp6OlpYVr167JSNG6ujpZJUcIc2Ijs9vtJCQkuEjuC71I3f9eXFycFOIEDxLaxHOTk5MyfQY4A4uKiooICQnh1KlT/PrXv5YLWyAO5YXus3LsxsbGqKmpobu7m5UrV5KcnMyOHTvYtGkTKpUKk8kk0/coC054ygQp/r4ySEutVrscfgMDA5hMJkJDQ+np6aG2tlYe+o2NjZw4ccLlMqX8PkSeUFFdSjk3hcDgCcFPGaFst9upr6/n9OnT0vQTHh7OypUr+cY3vsHTTz8ttTbicijWn0j4722HoRKlsCmCHoKDg2W/z5w5Q0NDA1arVZrxurq6GBkZQaVSERERQWZmJmVlZaxYsYIlS5Z4XHPuLmSNjo66mFnB2V+lgG61Wjl58iS//vWvuXjxIv39/bN+dlhYmBQURkdHuXbtGjdu3CApKYmcnBwuXbpERUUFxcXFLFmyZEGqkCnn18DAAA0NDXR2drqY2NevX8/u3btdLG1KISE8PJyMjIxZLyILiVJIDQwMZGZmxsVyITR1SmuNSNMn3i8sG+IMFJo4dytmQEAAubm5coxEvnRvQ3mpt9lsnD59mitXrgCQkpJCVFSUy/fm6fWnbMP09DRnzpzhjTfeYM+ePVJwzczMZMeOHTz99NNUV1e7CJ4Wi0Vq/IWLTlRUFGq1mt7eXrq6upicnMRut9Pd3c2BAwcIDw9ny5YtZGdneyzlotKP3mw2k5yczIoVK0hJSSEhIYHk5GTsdjuhoaEUFxeTl5dHcnKyLP2uRJyTYh6Lz33cPs3paapcLCLPmfI5i8XicuDfunWLAwcOkJmZSX19PXv27OH8+fNSo+p+GzWZTKhUKtLS0li1apVLLklP+PYoF1ZYWBg6nc4lW8JsKAMSrFYrPT09dHZ2Sj9goYm+cOECb7/9NnV1dWzevNklsthTwp+46Q8NDdHS0oLFYsFoNHL69Glef/11vv71r0vhJzg42OvSEN3Pl9FsNtPb28ulS5cYHh4mPDycS5cu8fbbb9PR0SFzbs7MzMjF555tYnBwkL1799LU1ERYWBgVFRUyMbonM0WI/s7MzHDx4kVu3Lgh15dOp2PdunX84Ac/YOfOnYBrJL63jZ8S5fcZHBzMkiVLSEtLo6mpSVYDm56epquri4aGBvbu3cvnn39OR0cHGo2GuLg4mT1CCAmi7OrSpUvZtGkTW7ZsoaKiQgpBnrgwuv+96OjoL8za0dzczGeffcbJkyel1SskJIT8/HxiY2MJCgoiOjqajIwMoqOjpaa2rq6Oa9eu0dHRQUdHB7W1tRw8eJB169bx8ssvs3Hjxnnrp0C5jw8NDdHY2EhfX58c74CAADIyMqTgOjk56aKpU/rHelp4U46d2N+1Wq3UAgcHB7Nx40aqq6vla5SXaff2i8/r6+ujrq5OWhrEa90vNd7OwMCAS97oiIgIGaTsDSh9lh0OBy0tLezfv59PP/3URXDdtm0bf/zHfyyLQphMJhlordFoXFKBis80Go3cvHmTtrY2eY709/dz4sQJYmNjycnJISsryyULyELOZ7HehoaG6OnpkW5xQ0NDlJWVsWbNGpnyLTo6+p4gWLjr0nS/dj/uXjonwqsIctBoNNjtdi5dusTx48ddoiCF0Kq8eV67do1/+Id/ICIigsHBQVpbW11cA8TAic8V5q0VK1awdetWlzQ9nkyBAs5B7uzsJC0tzWWyur9eCOChoaEYjUZu3brl0u+uri5+8YtfyPKzy5cvZ/fu3ZSWlsrPWWhTirgti4T277zzDu+99x7Dw8OA88a8fPlySkpKZMJ0pUkLFqZ876NisVhoaWmhtraW8+fPc/nyZYaHh2W1s46ODgA5ZmFhYQQFBbmkFBKC4dDQEO+//z7gNOE999xzsmCBcjMWgSILIQSJVF7grD71s5/9jCNHjkiN67p16/jOd77Dk08+Kd9zvzESGmtPpVByRym8ajQa4uPjiY2NJTAwUKauERHAN2/elELOE088QWJiImFhYYSFhUn/zunpaVpaWujo6KC/v58333yTY8eO8corr/DCCy+QmJjokQujcjzS09OpqqoiLy9PPib2SBGEdu3aNX73u99x9uxZKbjqdDqWL1/OSy+9REVFhTxQRCW1wMBAjEYj58+f5+OPP+b48eP09PTIDA5dXV3k5OQsiPCqxGq1ysw07oei4H6uAN4QqKQcu5aWFnp6elxc3YKCglxKwj7IL1ukSwQ4f/48P/vZzzh58iRw9/KmzMzjrRYSpQLk3LlzMh4GnPmL16xZIy9Uns6RrQwWdDgcDA8Pu/iOZ2Vl8eqrr/L1r39dCq7Cp1OUunXfT9VqNUNDQ5w+fZr9+/e7KPgAmbg/JyfHJWjbE8qP0dFRGhsbaWlpkdl5CgoKKCkpkUo25ZwDpIJSWBrn86ybM+FVeUNpa2tz0fAALhor0RlRIk2JWMAiOlj5XnBqJtesWcOqVasICQnx2IHq7ntmMpmYmZlxmawiel0gBCBBQEAAfX19dHd3u9y+9u3bBzgrjXzrW99i06ZNMvJdGSW/UAjBU6SvOXz4sNw4CwsLefLJJykuLpbjpFarGRwcxGw2MzY2Rnd3N6Ojo+h0OnJzc0lLSyMwMNAjNbeV/kszMzPcvHmTzz77jAMHDtxTxU34ZpnNZlkVRRn0oWRwcFAmC29qasJmszE0NMSSJUvIzMyUmsGFMgO5R2DfunWLzz77TFYpeuKJJ/j+97/PU089BSBdV4TwJ3LehoaGStcP5RrzdDCa+O5EO3Q6nXQFuHTpktyHmpqa0Ol0rFy5ks2bN7N69WoSExNRq9VER0e7mLna29tpbm7m7Nmz7Nmzh0uXLkmh4aWXXpIm2fn2Z3bPYiIQ/uXKA0Pp02uz2bh48aJLYRdwaoc2b97M008/TVpa2n3/blJSEjqdjtjYWM6dO0dnZ6dcu7dv357jXs6O2GeENcQ9qbvwWVa+XqAMaJrNV3ihcM+O0N/fz82bN+no6GB8fFy2LTExUfrMj4+PS3cj4QYiLhni0gzO8q8nT57k008/xeFwEBQURGFhIaWlpS7WOW8TXpUp1+x2O42NjVy6dEn2Pzo6mmXLlpGeng7cvXh7w0VZINy/oqOj6e3tlbLIsmXLAKTSRrnHT05OYjKZ6O3tpb+/n+npabq7uzl27BgnT55kfHycoKAgqZlfvnw5Tz75pLzUCG38Qoyn8kyanp6mubmZkydP0tvbS2FhIYWFhURGRhIQECDdzsT6FD6uC6k1nxMpSClcqlQqYmNjSUhIuK+Q9aCNxGKxyIIDyg1L+PiUlpa6VCRZiJQnD0NQUBChoaGPZGrt7+/n9u3bjI+Py5uN0MAWFRXxk5/8hOeff15OCE9FdrvnC1SWwi0sLGTjxo2kpqbKx27fvs1nn33GhQsX6OnpkbXIY2Nj2b59O7t372bJkiUe18QKv87R0VFpBhKHp7IwwZfh8uXLNDU1odVqycnJYefOnbz88suyIIfyQjAfKM01DoeDkZERuUGGhYVRWVkpq7m0trbS1NQkc+9duHCB8fFx8vPzKS0tpbi4mNzcXCIjI13+hqfTtsFdN5yEhARZWKK7u5u6ujoSEhJ45ZVX2L59O8uXLyc5OfmBpaQzMzNJTU2loqKCNWvW8NZbb/Hb3/6Wf/qnfyIvL48tW7YA8x8BrdwflfOvv7+furo6F0258H8X73Mv7ALOlDVbtmxxWaOzERISwoYNGwgKCiIgIECuCXiwVnAucE8b1dDQwMmTJ6W/rqg45o43aFi/iKmpKcbGxuS+KYLjEhISOHPmDB0dHXKvCQgIcOlrdHQ0hYWFLFmyhKmpKY4dO8alS5dcUmGFhYURHx/vNeb22VDuFUKwF3ERwcHBbN++3SU40FurginXm91up7Ozk76+PiIjI5mcnMRqtcrLZUtLC+fOnaOhoYEbN27I4kMTExOMjo4yPT0tL2rgtKysW7fOJcPLQqIcI7PZTHd3NxcvXmRqaorq6mpWrFghBVcx95TFoRbcL3cuPkSpPVOr1RQVFVFRUcGxY8cYHR2VAp0ySEYcrmKSCp9CEcUGd9XlQisZERFBenq6i0P0Qn5Z7j64ytrLN2/e5PPPPycwMJDly5dL/1fxHpGXr6enh+HhYYaGhmQFivHxcdRqtfSprKqq4nvf+x7PPfec1LiKPLmeQDm+IkWUIDg4mKSkJOLj4zEajVy9epXjx49z6tQpGhoa6OjocPHFEj6G3/3ud+Vh6u7rNZ+4mxZNJhPDw8PSSqD0Y9XpdDKlR15eHikpKXIsRHoe8f7+/n5GR0cZHh5mfHzcRYgQ2qvw8HBeeOEFkpOTF2RzFhqA27dvy5K94vH29nY+/PBDzGYz165do62tDZPJxODgIDdu3ACcQm5paSlFRUUUFBRQWlpKSUkJmZmZXhFIAXfXZFBQEOvWreP111+nra2NsLAwcnNzWb16NeXl5S7vEXPAZrPJwicqlQqtVktgYCBxcXFs2bIFrVbL5cuXqa2t5Z/+6Z+Ijo6moqJCJoCfLz805bxQfv7w8DDXrl1z0YIqtcCiD5GRkYSGhso5nZCQQEZGBhaLhcnJSZk6TOzBymp5wcHBpKam3pMFZr4FI2VaMnC6uRw+fJi+vj5CQkJkzIROp/tCn18xNsq17qmcy0L5MpuSpaenh0OHDt2j/BGXZ5vNRkREBNnZ2WRnZ2M0Gjl37hzNzc2EhoZKl4qAgABCQ0Pv0UJ7E+6BOrGxsYSGhjI1NUVRURGvvPIK5eXl0ud+oc6DR0FEzgtXh5GRET7//HNaWlqkNScwMFBmGrh69SonTpzg2rVr97gHCIS7j0ajISsri9zcXBeXu4XcZ5XpBaOiokhPT0er1XLhwgX2799PXl4eK1asWPBKmfdjzjSvcHcjTUxMJCMjQ26qyhRL4vAXKAdHGUWv1CYoNbAzMzMLnvJktraGhIRQUFBAU1MTY2NjnD17lsbGRnp6evja175GUVGRDN7SaDTSD+/MmTNcvXqVzs5ORkdHZdoe8dkajYatW7eya9cuQkNDpUnQk8Ez4qAzmUzU19e7uHqI3LxqtVpmILh8+TI6nY4nnniCtrY2zp49K7U4V69eBaCyslIKryJ580IjNACz/e2EhAQ2btxIXFwciYmJPPPMM6xYsQJwmvi0Wi1arZbJyUkaGhq4dOkS165do76+nubmZvr7+13mcH19PXv37iU1NZXNmzfLZM3zYX4XrhFqtbOa3cWLF13GYHR0lA8++IDf/OY3snKKyL0XERFBUlISZrMZo9HIpUuXOHfuHFqtlvLycr7+9a/z3HPPkZubK/smvktPoDywly1bJv2u4W5aFndEW2cL3hPaL5E+7Omnn+batWu89957MpWUyFG5EEEU7vlIRaYM977A3ZLV7lHtRqORyclJkpOTZaSz8n3uKX1MJpPMNAHOlHCzRRHPJULgFIjSpyKwKSwsjLi4OFatWuViHp/NeiMEJffvxlNaWnF+Kc+93t5emXLvfkEtSpcQZc7NgIAAOS/E5yrd7MTj3oYyT7iIE7BarWRnZ7N582YZACT8RT2N+6UiMTGRrKwsYmNjZaD14OAge/bskWsqKCiImJgYgoODGRoaYmBg4L6fLwpsiHFLTEwkMzPTo1mUxDwKCgqSBWrefvttfvGLXzA6Osp//s//WbpJLGSVutmYU7ut+6YqNE/iphUWFnaPJu5BJjj3g9FkMjE+Pu4S1LWQi1S5wcfGxvLcc88xMjLCnj17AKdQc+bMGQYHB0lKSnLJPGA0Gmlvb6elpeWe1DWiig04g59KSkpk1P709LRLNO1CIi4TYoLW1NTw/vvv09bWBjg1k9nZ2dLMERwczPLly0lPTyc6OpqUlBQaGhpwOBycOHFCajqbm5upqalhxYoVC27uci90UVBQwEsvvSRv/SIlW2ZmJitXriQmJoawsDCXdDZK87lINSWSMnd1dVFTU8NvfvMbWltbXVxBhoeHpT+pYD7mr1LLMzw8zN69ezl27Jj8u5OTk1Jrk5CQQFFREbm5uSQmJpKYmEhCQgIqlYr29nYuXLjAiRMnGB4e5syZMzK5/datW8nPz/dI2d/7IYJG3RGaRaWlR7zeHeFTGRoaSkREBFu3buXs2bMcPHiQ+vp6hoaGSEpKmtd9R3npUdatFyjb7Z7JYnJykr6+PhfXgaamJs6fPy/zL4JrMJ/y/WK/Evlvg4ODee6551i5cuXcdnIWlN/pxMSE1BwHBQWRnp7OE088wVNPPeVSdlq5dwgBVWjulHPBU8nuVSoVISEhMmUb3NUCK8f5Qe0TwcrK35WfbzKZmJiY8JpiMLOhDMByOBzU1tZy/PhxAKmFFXiL4K3URKpUKtLT09m2bRujo6P87ne/o729/Z4YCCGjKMnOzqakpISkpCRsNhsDAwPcvHlTuquJ/VpU5AoNDfVYLI8yOMxsNhMSEiJ9cj/88EO0Wi0lJSUkJCRQXV0tXc88EQMxp8KrclMNDQ0lNzeX3t5esrKy2LlzJwkJCTQ0NHD16lU5YO7morGxMYaGhlxKGYrJrNPpyMjIcBEeFvILExNJmHOefPJJ+vr6uHHjBo2NjahUKm7duuWS/mM2xGamUqlk2hSxIcXFxbkIBJ40n4h2iX5fv36d48eP09fXR0REBFVVVVRWVkr/48jISDZs2ODyGWFhYbz77rsuFxZRga2vr4+YmJh78sDOJ8r5otVqKSoqIjMzU7psCO2ViEQXKHMUuweGaDQaUlNTSU1NZcWKFRQWFjI9Pc1vfvMbGTijUqkYGxujtbWVyclJqcmab+2daF9ISIj0VYqKiqKwsJDc3FyysrIoLy+nrKyMhIQEl0NkenqaixcvUlxczN69e7l8+TKXLl1Cq9USGhrqMlc9fQuHuyZaZXCIyL/7sCg1PiJ3ZlVVFadPn2Z0dJT29naSkpLmra/u2h73ZOXCzaO5uVlqv5VBTYmJiWRnZzM2NiYFmubmZo4cOSKr/4i+CUQuX6HdCwoKkgJTYmIi1dXVLhkO5gul0KIU1sC5t1RXV7Nu3Tpg9tzJ4ruz2WxMT0+7BAwvpA+l8txSqVRERkayZMkSiouLGRkZwWKxyHytYWFhUgAX/Q8ICCAyMpLo6GjCw8Ox2WzSJUloK8U/cPrFJiQk3FN5zVvp7+/n1KlTMge88KMUZ6K3uCQJxDgGBwdTXV1NSEgIOp2Ozz//nPb2dhdriBA4AwMDiYyMJDMzU+6vmZmZ2O126urq+PDDDxkcHJRjKNamyKAkLEALjVLGGR0dJT4+nu3bt3PhwgU0Gg2NjY2cO3cOnU7H1NSUVHh4Yr7NqfCqnHT5+fn8/u//Pi+99BIlJSVkZ2fjcDikP6Ayt6LZbCY8PJyAgACOHDnCW2+9xdWrV+UkEJtQUVER27dvd0kv4smgn4iICDZv3szg4CDvvvsu165d+8L3pKenU1BQQGFhISaTicOHD9Pa2go4hSn3/KjecguFu0mWwXlbrqyslAeoeN4di8XiEvgBTvNIWVkZJSUl0hS2UBGVSsSG9DAmKmXf3T/DndzcXL7//e8TERHBG2+8ISuTNDU1sWfPHnbs2CEDt+Yjcl15iCUnJ/PDH/6QuLg4Dh06RGhoKGvXrqWyspL09HRiYmKIioqaVYMaGhrK+vXrpQ+kSqWS+SVv3LjhohVc6DyEs6EMHBB82XYJYTwyMpK4uDg0Gg2jo6P09fW5VPeaa4TLAjj3tq1bt9LV1cWZM2ekNnLPnj0MDw/zwgsvUF1dLS9CgYGBPPHEE4SEhHDkyBFOnz5Na2sr4+Pj1NTUoFaraWlpYdWqVTKq2263y+Iv4nvq7++nv79fXgKEIOzuB7tQiDY+SLOovDwZjUZaW1ulWR6c60C5LhZCQBJCT3h4OKtWrWJiYoLo6Ghqamro7e0lPz+fZ599lqKiIqanp5mZmZHBcqGhoTJuQpyTt27d4pNPPnGJ0o+IiGDNmjWsW7fORanj6WBYd8QeNzk5yYULF+SZB/cqA7zpzAPXuaJWqykuLiYhIYGnn36aW7du0dbWxtDQEEFBQaSkpMh0mcK1LDo6moiICMLCwrDZbIyMjDAzMyOz0yxdupTnnnuOoqIi+Xc8vZeq1Wri4uJYv3498fHxbNmyRV4Mz58/z9WrVzl9+jTZ2dls3bpVnh8LmRJz3oTXzMxMdu3add+cp/cjOjqaxsZGurq6XNKKAKSlpVFRUSHzwHnqlqacWLm5uXzjG99ArVbz+eefMzExcY8gEBgYKB2gY2JiyM7OpqKiQvqDCvLy8qiqqiIlJUU+5ulbqPL7Dw8Pl5GUKpXqnoTSwjxuNBoJDAwkPDycoaEhl1x+Op1ORrErg9k8pWFWmjtmZmZk4Aog/f4CAwPvqSkvUAZkCP+zyMhIli1bxvj4OJ9++ik9PT3yhi2qeCn//lwjvldhGl66dClRUVHSn2rVqlX3RLRarVYXzfLMzAwajUbmkFy1ahXXrl2jpaVFJknv6+uTG657xR9PMJfZOMR3KFLfCOFIXLKV2s65RGz8Im3ZM888w9TUFE1NTUxMTBAYGEhHRwednZ1yr9mxYweA1JTu3LmTjIwM4uPj2bt3L1euXKGpqYn29nZqa2vZsmULzzzzDKtXr5ZaeeU8HBgYoLm5mcnJSYKDgxkYGLjHFLqQaLVadDqdTLP0RSUmh4eHaWpq4ubNm1LY2LBhw4ILd+5nl6hgV1BQwO3bt8nNzZXxEUajEZPJJC/xgYGBhISESA2cCACqra2lpqYGs9mMTqdj9erVbNq0SRbsWcjg14fBPbCxra2Nmpoaurq6AKc/dUZGhmyzu6+yNyH2eq1WKy1tVVVVdHR0MDg4KIXXB13ybt26RVNTEz09PfKxyspKdu3aJTWz93N/WkjEpaugoICUlBTGxsYIDw9HrVZTWFjIr371K9ra2rh48SJVVVUuFrhFKby6T7pHFVzFZyQmJhIVFSX9QQTj4+P09fWRnp7u8cGFu9kTcnNz+fa3v83mzZulVlksQvGamJgYMjIyZERweHg40dHRLiUM09PTKS8vdzEVevoG5p62Rwg4RqORzs5OhoeHZSUppU+TaHdQUJCLZjMjI4OKigqXueGpsXTX0nV0dDA6OkphYaEUzJV5dZXjKt7v7scmhCeLxUJvb69LkIbIN6oc8/lc6MpDLD09nW984xsuWTKUuCeUVmrihAuPENwA6urqXDZgT/kUzhfKINTp6Wnsdjvx8fFyrgtT4XwJCiK7iHDPKSwslGVSQ0JCMBqNnDx5ktLSUjZu3CgjlGdmZoiMjGTVqlWEhoaiVquxWCw0NjZiNBqpra3lxo0b9Pb2EhgYyJo1a4C7l+T+/n5qa2u5ePEi4Jyz6enpMsBwoVCui+joaJYvX05ubq5sp/slxX2f6uvrk9XU1q9fz5NPPumy5yy08AoQHx8vcw2LC3tYWJh0bZntOxbrbXp6mo6ODvr6+qTFIy8vj82bN7u4dHj6vHBHCHyiXYODg1y5coXW1lZ0Oh3PPPMMa9euld+Vp6pHPgz3C6xLT08nJSXlgYF3ok+XLl3is88+k+5kSUlJlJSUUFxcTGBgoAzI86ZxDA8PJzg4WJ7TSUlJhIeHMzg4yK1bt1z86xdSaz4vK9h9IxG3RxElqdTwiAAQoe1qa2ujo6NDfiFKU9H169c5cuQIiYmJ8qbpycpNyoNe3MTgbm5GYe4RN2l3oqOjWblyJbW1tYyPj3Pz5k2uXLlCVVWVDNiaTxPlo6KMYrZarXR3d9Pc3ExOTg4xMTFyciuFI3ezbVJSEuXl5Qt+kNwPMYb9/f3Sr3PdunXs2rVLVl+aDbEhib4p+zgwMMDHH3/Mb3/7W/r6+uTfWbJkCdXV1S7C63z7uyrTrCn7IjTFyrkpLlvC71c8bjKZuHLlClevXpXr0T01jzchtMhfpkSo2J+E0Hft2jUuX77M9PQ0CQkJ0ifNPRXTXKP8bvPy8vjBD37AzMwMx48fl7kxJycnqamp4eDBg2zdupXg4GAX7aLIjJCamkpNTQ0NDQ3cunWLkZERDhw4wNjYGJs2bWLt2rWkpaUxMjLCJ598wi9+8QvsdjtRUVHs3r2bDRs2uFQznC/cA9EEIkWZe2UxJVNTU0RGRqJSqWSasImJCbRaLVlZWbJikSdclJSBZMKUrES4bYi0SaKdDocDrVaLxWLh888/56233qKurk6+LywsjISEBJfUSt4o+LkH4rW0tGA2m0lISGD79u2sXbtWpsT0hrK+D0J8vyLDQ0BAgEyxB879QwSIiny94uIPTvnm/PnzjI+Pk5SUxBNPPMHSpUvlJdibhHdxPgj/anG+9/T0cOHCBZqamkhPT3exJC4k83L6KL/8oKAgF+3EbFo2Ua0BnAFbosa8RqORPpHgzJd54cIFFzPJQqqpvwgx2Mo+ui9Es9ks+wVOt4Nly5Zx/vx5bty4wenTp3n66aelOVY5aTxNYGCg3HjNZjO3b9+WvnRr166VvshCQ9vX18e5c+dcfF7T0tIoLS0lMTHR42mWhBbVYrHQ1NTEwYMH+eyzz7h8+TJqtZrnnnuO6OhoGWDhvsGIzARwV/M6MjLCkSNHeOONN2QVMnDOjYSEBAoKClwEjPneqJVp1pTf9/3WjPhOxDjbbDauXr3KqVOnOHv2LEajkYSEBLZt2ybXIHiXj91sKbAeFrGfCGGirq6Oo0ePymTwYrzm2zdPeXEIDQ3lxRdfZGhoiNraWiYnJ2Vg2pUrV/jFL37BwMCAFEKVpufCwkJSUlIoLCzkxIkTtLW1MT4+TlNTE/v37+fMmTNs2bKFFStW0N7ezvvvv09vby/Jycl8+9vf5pvf/CYlJSULfoF2z8cs8n8La4gQ9MTeERoaKv/f0dEhNVuBgYGEhoZKAc8TFgJ3U7gyobv7eaFUiIiLonAZ2LdvHyaTSSpFRPzIfGcveRzcMymYTCbpRpaQkEBpaancV5UlcL0dd7lGEBAQ4HKZEOXEwZlvu7u7W/Y/KSmJJ598Ukbsi/d7yxgq56JyDK9fv86FCxcAp1bWU/mFvWKmKLWrk5OT0h/mfge7t9xMBMI0Aq5lcN1fA7ikf5mZmaGlpYWmpiZMJhNJSUnk5+e7mI88eQt19ymOjo4mLS2Nrq4uZmZmaG9vZ2xsjIaGBi5evMimTZsoLi5mZmaG+vp6Tp48yYULF+jo6CAwMJDc3FyWL18uTa/K0nILjfLgM5vNjI+PSx/X2tpafv3rX9Pf3098fDxTU1NYLBbCwsJISkqitLSUyMhI6uvruXjxIna7Xfph3759mwsXLkgNiUajkaVW8/LyKC4uJiIiQv79hRQKlAeJmKcio4QwgSsj3UdHR/nkk0/4+OOPuXjxoswYUVJSwvPPP++SPsxbLljuuFduckd8J0IAsNls8lBSq9X09vZK9wiltWChfPOU+8jatWt59dVXOXLkCD09PYyPjzMyMsKJEycYHBzk+PHjREdHk56ezrJly6T1Rgh7+fn5pKSkMDMzI4Xcuro6fvvb33L8+HGGh4cxGo1s3ryZH/7wh6xcuZLk5OQFm6PuFjvBwMAAJ0+eJD4+nqqqKhmdLuav0qR59OhR3n77bS5fvgw4TbrKvLCeRukfL7IluKdkgruZXgQqleoeDZfZbHbJx7sYEOMGzrzMSv9Qb7EwPirulxElok8DAwMcPnyYxsZG+VxcXBxlZWUkJSVJC7RSseVNKNemuBjqdDo2b97sYpVZyLPco8Kr2FSFs6+IYBOBP8oUWoDMvSk2ZfAOH58HabLcEdVtwNn/hoYGmci4tLSUtWvXkpSUJF/vaZO6ciHl5OSwfft2IiIiuHr1Kjdv3mRgYIAbN25QX1/PrVu3qKqqwmw2c+bMGY4dOyYFnoyMDHbt2uXin+fJRepuooyMjHTJp3vkyBFu3LhBeHi41CSHh4ezZMkSqqqqiIqK4vTp09TU1GC324mNjZXaaBGpLTIZiJx4O3bsIC0tTR667u2Ya5QHoBhL9/nknuNzcnISo9HI8PAwZ8+e5V/+5V84duyYfE1WVhabN29mzZo1REREeDRwUtlu4Z7icDi4ePEig4ODlJWVyeBHYZoVbjxCUy5cP5T7yODgoNRqnj9/nvDwcCorK1m3bp38/haqYpNYKw6Hs6To97//fZKTk9m3bx+3bt1ibGyMwcFBTpw4wYkTJwDnGK1du5aEhAQmJydlIRStVis1llNTU8THx5OWlkZPTw+jo6PExcWxevVqfvSjH7Fp0yYAaTJcaB9R5XwaGRmhvr6e1atXy3a4uyYB1NfX8/bbb/PLX/4Sk8lEdnY2u3btYunSpfK1nj4vHuTPqOy/MuuECOaKjIxkfHxc9jcqKoro6GiX78LbBR8RCJqbm0txcfE9qekWI/e7yCrXzcjICDdv3nSpjhcXFyfPeuGm5K0oL1KRkZGEhYWxe/duvv71r5OQkCDdcRZSXvGo8DozMyM3597eXv7u7/6Od999Vw6ixWJxUc1nZmayevVql2j8xWJmECiriNlstntyEYpUKd6Au0Ai6tuXlpayf/9+9uzZw82bNwGkufzixYsyR5wyt6vI9SsOEm/JCwrOC4VIzi8wmUwyWlkQFBREa2sr586dQ61WS7OdSqWit7cXi8Uiy42Cc6yTkpJ46aWXeO2118jJyZH+mAvRd6V/OTg32Qf5+7W2tlJXVydzMV+5ckUWpADnGL7yyis8++yzMqjQG7Qlop+ihOjbb7/NoUOH+OEPf8iPf/xj6WsvtBsiGG22ClwDAwNSE9nY2Ehvby/r16/nT//0T9myZYs05y7k3BWXkIiICJYtWyazSLS0tHDr1i2uXr0qtSHg9KsbGBiQfoQOh0O6Uoix12g0xMTEkJuby7p164iNjaW0tJQ1a9a4aNQDAwMXxNTufgFKTU2VVp7p6Wmmp6dn1TDabDba2to4ceIE+/bt48yZM9INbdu2bbzyyivk5+fLNemtFgIlyoDXiYkJTpw4QV1dHdPT0/I1YvwSExO92ufVfVxHR0cxm81ERUURERGxKMZjLhDnvXCBVKlULsUZvMVV4GEIDg4mPj6e8vJyKXx7IsuFRyU/5aS+dOkSBw4ckClZREStu8QfGxsra4uD9y3WL8LdxKA8BIUPpbdFbov2hoaGkpWVRVJSkoxCbmpqoq2tjfr6enp7e138WwsLC2V6pk2bNknB1b34gTeQlJTEjh07UKlUXL9+nZ6eHoaGhqQAbrPZpAZEWR5XIC4hkZGRBAcHS4f8p556im9+85vSVUJZ2nG+EBYN97KfguHhYSnMTU9PMzw8LKtp1dbWcu3aNem6A85xzM7OZt26dTK1DyxMUYlHRa1WExISQkdHBz//+c/RaDTs3r37vgFHNpuNrq4uuru76enp4ezZs+zdu5fr168TExPD+vXreeWVV9i2bZvLexZy7ipTgAUGBlJUVIROp2N4eJiuri5aW1vp6emhv7+fjo4Oenp6MBqN0nIl9kpROhaclfzWrFnD6tWrycvLIz4+nqysLOnrbDQaZYDRQlxQ3NOcbdiwgY6ODt555x26uroYGxvj3LlzqFTOSkdms5m+vj4GBwfp6OjgwoUL1NTUMDU1RVxcHM888wzf/OY3KS0tBe7NFOLNKPfG4eFhrl27Rmtrq4vwLiwJ4eHhXl2cQFQ7A2hsbKS5uZnR0VEiIyNlH3wV5Tne19dHc3OzzPKRnp5OUlKSV4+dQBkDcevWLa5cueIS7wGeUSJ6RHgVh6sQQpuamjhx4oRLqTVR9UU5oDMzM5hMJheHfV9CCLPeNond2xMcHExVVRXl5eVMTk5SW1vLr371K44fPy4P9tjYWDZv3sz27dvJzs4mJiZG5oidy3ycj4My5VVUVBS7du1izZo11NXVcfr0aW7evMnw8LAMFunu7qalpeW+l4uoqCiWLVtGUlIS4+Pj5OXlSc0P3BV65nuhi+92amqKyclJVCoVYWFhsjpTQ0ODzGnb19dHY2MjjY2NdHd3Mz09LddVUFAQpaWlPPXUU2zfvp2lS5fKiG7l9+dp3IW7b37zm4yPj/PP//zP/Pf//t9xOBxs27aNsLAwdDoddrudzs5OmYP46tWrnDlzRn4HDoeD0tJSnnnmGZ5//nnKy8uBu/uWp/NoRkdHS/9bZaWlrq4ujh49Kgu8hIaGumReUKlUUntXWVnJpk2bSE5OlkKucjyV2ryFQJliLjAwkLKyMr75zW9y9epVurq6qK+vp7+/n4MHD8qUWdevX6e9vV1eME0mEyEhIWzdupXXX3+dFStWAN5h5fmyiACg2UpoT09PMzIygslkcqnS5S3rUunXPzMzQ29vL729vTLobLFZTR8V5QXk3LlzHD9+nJGREcLCwsjJySEtLc0lANQbzkR3lGVqL126xJtvvslvf/tbzGYzvb29dHR0uOTpXUg8MnuEj5qycsjNmzelVgCQkaUREREuPrAajWZRC67KQyIgIOAeU7W3aV2VKHP2iX/BwcGsX7+eiIgIdu7cKQXwoKAgMjMzKSwsdJnY3nyQqFTOHMMbNmwgKyuLoaEhJicnMZlMzMzM0NfXx61btxgeHmZ6eprx8XGZRSA6OprIyEgKCgrIyMjAYrGg0+mktlm4E8xn30VaFpEv0GAw8MEHHxAaGkpKSgqTk5PSJ1fcmoXrgyAmJobi4mLy8/PJzc0lNzeX0tJS8vPzF7SM76MgNn0xt0pLS/nOd77D7du3OXbsGD/96U95//33CQoKIjIyEqvVSl9fH8PDwy5FKoKCgqiqqmLp0qWsXr2aVatWyUpoItBmNiFiIRHtVZr/hXY9Ly+PsLAwqqqqCAoKQqvVSg27WK/CbJmSkuKS9QKcfRQV3zy1RpX7X15eHqtWraKmpoaxsTF6e3sZGxtjdHRUXiaVREVF8dJLL/Gd73zHRXBdbGeF8ruPjY2luLiYjIwMGQSanp5ObGwsOp1O+iuLIF9vsmiJwGWR2F+Uo46MjCQqKkpWEFO+3hdQnpFjY2McOHCAw4cPy7SJNpuN5ORk0tLSvLb/7qkge3t7OXXqlCzEBLjsE55YYx4RXpUaVZXKWb87MTFRCjnCP0sIDeBMq7F06VIZrLVY3QaUmtXQ0FA2b94sK6cIXy1v9QNSBvyIC4jD4SAkJITVq1ezevXqWd+nDOrxlo1ViTLCV/SnoKDA5TVms1kGMg0ODjIwMMDQ0BDBwcFkZWURHx+PRqNBp9PNWmp1IYQepSDmcDi4desWZ86cAZzaOuGGI6qFabVaoqKiiI2NJSwsjPT0dIqKili2bBlLly4lJyfHJfOF8BddDGuutLSU119/nczMTE6dOkVDQ4PMJCB8zU0mExERERQVFbF8+XKKioooKCggNzeX5ORklzrf3pI43D3ATvwTY5+SkuISE/AghPuKGFNv6KPSL1etVrNmzRo6Ojo4dOgQHR0dGI1G6YetVquJjIyU+8rGjRv57ne/S3V1NXC3wtxiRLkXFRcXU1JSwmeffYbZbEalUlFVVUVBQQHR0dGebuoDEXmmham8vLxclje+ffs2JpNJ7pferLh5FERee3DGguzbt4+amhoCAwOxWq2kpKRQUlJCbm6uy1nvTZpXZQrSsbEx9u/fz29/+1tZ1nfdunVUVlZK5dtXRngVgySi8aqqqqTJa2BgAK1WS1hYmPQjVKvV7N69m6efflomeF8MB+hsiMlqtVpl/sapqSkZsR4fH++STN5b+6lMu/QgTZzyYPV2xIExm4Am8vpFRUWRlpaGyWTCbDZLv7P7XTiUCcrnG2WaFY1Gw49//GNWr15Nb2+vDNyZmZmRFd+io6OldUMI3eHh4URFRREVFXWPP7bSX9sbUbY3ODiYNWvWkJ2dzfPPP8/Y2Jj0e4S7/dFoNERHRxMfHy+158qxnO9iBF8W0S6l8Pqo46IMLPQWs6VyDAMDAykvLycuLo6VK1fyzjvvuGS+SE5OpqCggPz8fEpKSqiurpaWjoVac/OFsvpfYmKiTDHY2NjI0NAQqampbNmyhaSkJK9JrTgb7q5/KSkpJCYmUl9fz4ULF3j22Wflme4rwquS27dvc/nyZUZGRmRp1Y0bN7Jp0yYXq463uQsqA8t7enrYs2cPR48eRa1W8/LLL/Pyyy+zdu1auVd6Yt551OnEaDRKP8jc3FzGxsYAp6+eWq0mKiqKxMREtmzZwu/93u+xbNky+WV500B/GYTgHhoayrPPPovdbker1ZKXl+eiLfDWfrr7rYp0UspgNFEtxVs1ye4oTTjC3Aq4WAlEUnH3PikFefE9CP/WhRpDMR4i8nPp0qXyMLdarajVaqanp5mZmUGn033hhmOxWGQ/FsJXd64QB39wcDDZ2dlkZ2c/0vutVquLqd0bhaAH5a1V5pye7XlgUYynRqMhPj6e+Ph4cnNzZZW44eFh0tPTycvLIysri4KCApYvXy7dIMT8Xyz7zmy4WyfLy8v53ve+x+HDh4mLi2PFihWUlJTIPnqrJVJkOBFkZmbywgsvkJOTQ1FRkctz3rjOHgVx9gUHB+NwOGhpaZEKOXCeEenp6axbt04GvYr3eRvuOZdHR0cJDAzk61//On/0R3/EqlWrZGpCT10UPbp7KRfabAnxN27cyKuvvkp1dTVardbrFubjoBRQU1NT+c53vgM4AyUWYz9nK+u3GPshUJZrfJh+uAu4yscWmtkObSGohIeHu+SzfRCBgYFerWm9H4/bXm8wnz8OD9P2xTamERERvPjii+zcuVOaNEVeSXdB1duF8ofBXRjIzs7mD/7gD3jttddmtfZ463i6Z9TJy8vjRz/6kcz3qtyLPB0I+bgItyoRy3Px4kVOnDghMyjpdDqysrLIyMhwmaPeKLQr51NcXBzr16+nqqqK7373u1Lwdve/X2g8usqVAlx0dDR/9Ed/xLVr14iOjiYjI4Ply5ezYcMG+RplQNdiRzizm81mtFrtQwsU3spiSUPzsHyRAKo0J7svYE9/D+Lvi9yYGo1GCqKirUKzrDQ9C99B8W8xj6koBGGxWO6bfk4ZlCAuX96SCePLsljH636I0rBqtZrQ0FAXlyolIqAuKChoUY/f/QgMDCQiIkJaKsE1gHaxjPv9rFa+MGazxfJER0cTGBgoS2o/9dRT5OTkEBAQIPvtjX1XWgxjY2P5+te/LqtEAnJP9aRPuUeFV+UkTk1N5d/9u3836+uUqbV8CWX+NG81+/iZHW/ccNy530EP3ucbNx+IPcPX9o2vEsJNR+BeMlX8XOza8odB6QcrLqGLUcvsnut8MeylD4MYE6EIWLlyJf39/UxOThIZGclrr73Gxo0bF8V+5F6cp6ysDLgrp3iDS45XzPwHpU8SeQx99UYNd7ULwIL6SPrx48fPYkHkW1bmD1VWS/NlRFJ4kbnFk+nMHgdlIR5RSMVXzjtlMKhKpSI8PJxNmzaRkJAgBcDFILgqcdeKCzllUQqver1+PtrhNfh6/8D3++jr/QN/H30BX+8f+H4ffb1/4O/jXPGrX/1q3v/G/fDFMfTt66ofP378+PHjx48fn0LljWka/Pjx48ePHz9+/PiZDb/m1Y8fP378+PHjx8+iwS+8+vHjx48fP378+Fk0+IVXP378+PHjx48fP4sGv/Dqx48fP378+PHjZ9HgFXleBXq9/jXgX+/8+gODwfBzT7ZnrvHl/un1+vXAnwJrgBhgGLgC/I3BYNjrwaY9Fnq9/r8DlUA+EAcYgXbgd8DfGwyGIc+1bm7Q6/VtQOZ9nu4zGAxJC9icOcfX+6fEV9chgF6vTwP+X2AHEAv04FyH/8VgMIx4sGnzhi+dGXq9/uvARqAcWAZEAG8bDIZXPdmuuUSv16uA7wI/BEqAAKAZ+AXwU4PBYPNg8+YEb9lPvUZ41ev16cDfAZPA4q6VOgu+3D+9Xv8fgf8PGAQ+wXmoxAHLgSeAxXxo/hugFjgA9ANhQDXw58AP9Xp9tcFg6PRc8+aMMeBvZnl8coHbMV/4ev98eh3q9focoAZIAD4CmoCVwJ8AO/R6/VpfuEgq8cEz4z/iFFongS6g0LPNmRfeBF7DeVa8B0wBTwJ/C2zQ6/UvGgwGX0jx5PH91CuE1zu3lV8AQ8AHwE8826K5xZf7p9frX8R5YB4EnjcYDBNuz3u+FMfjEWkwGEzuD+r1+v8K/Afg3wO+kAF61GAw/LmnGzGP+HT/vgLr0IBTcP1jg8Hwd+JBvV7/1zgvmP8V+JGH2jbn+OiZ8W9wCq03cWpgj3i2OXOLXq/fhVNwvQWsNBgMg3ce1wC/Bl4Avg284aEmziUe30+9xef1j4HNONXtUx5uy3zgk/3T6/Vq4L8D08A33Q9MAIPBYFnwhs0hswmud/j1nZ95C9UWP35mw9fXoV6vXwJsA9qAn7o9/Z9x7qmv6fX6sAVu2nzic2eGwWA4YjAYbviI5nE2nr/z838JwRXk2vtPd379owVvlY/icc2rXq8vAv4S+FuDwXBcr9dv9nSb5hIf798aIBv4DTCi1+ufBkoBE3DOYDCc9mTj5pmv3flZ79FWzB1avV7/KpCB87CsB477go/WHXy5f76+DsWeud9gMNiVTxgMhgm9Xn8Kp3BbDRxa6MbNNT5+ZvgywtezdZbnxGMVer1eZzAYRhemSfOGx/dTjwqver0+EHgL6MBpgvUpfL1/QNWdn304/UKXKp/U6/XHga8bDIaBhW7YXKPX63+C0+8sCmcA1zqcC/YvPdmuOSQJ51xVckuv13/XYDAc80SD5hhf7p+vr8OCOz+v3+f5GziF13wWufD6FTgzfBmhbc2e5bkliv8XAmfmvznzisf3U0+7Dfw/OIMJvmMwGIwebst84Ov9S7jz80dACE7H9AicWp/PgQ3A+55p2pzzE5wmyj/FKbh+BmxbxAKBkl8AW3BuSGE4hZ+fAVnAPr1ev8xzTZsTfL1/vr4Oo+78HLvP8+Jx3fw3Zd7x9TPDl/nkzs9/q9frY8SDdy4k/0XxuugFbdXc4xX7qcc0r3q9fiXOm+X/8gGz1j34ev/uEHDnpwqnZufynd+v6fX63Tg1JRv1ev3qxf4diPQfer0+EaeZ9i+BS3q9/hmDwVDr0cY9JgaD4b+4PXQV+JFer58E/h3OzAq7F7pdc4Wv94+v0Dq8D6o7Pxe1L+VX5MzwZd4FXgV2Ag16vf5jnH7oTwI5OC0EecCidlXylv3UI5pXhWnkOncdmX0GX++fApFbsVVxYAJwR2vw+Z1fVy5oq+YRg8HQZzAYPsRppozlbg5GX+Qf7/zc4NFWzB++0j9fX4dCsxp1n+cj3V636PgKnRk+yx1/7GdxWul6cWYe+B7ODAvrcGaOAGcaLV9kQfdTT2lew3H6JwGY9PpZMw39k16v/yecTut/ulANmyN8vX+C5js/R+/zvDhUQ+a/KQuLwWBo1+v1DUC5Xq+PU0aX+hBik/WlKG4lvtI/X1+Hon/593leZPy4n0/sYuCrcmb4NAaDwQr8rzv/JHq9PgRncQYjcG3hW7YgLOh+6inhdQb45/s8V4HT5+ckzk1rMZpPfL1/guOAFcjT6/VBBoPB7PZ86Z2fbQvaqoUj5c7PRW0GegCr7/ycLXrWF/CV/vn6OhT5QLfp9Xq1MuOAXq+PANbiFAoWcxDMV+XM+KryGhAMvLmY09Z9AQu6n3pEeL1jyvr+bM/p9fo/x7lQ31yspfB8vX8Cg8EwqNfr3wNewRlo8B/Fc3q9fiuwHacp7zPPtPDx0Ov1hTiTMfe6Pa7GmRA+AahZzKUp9Xp9CdBjMBiG3R7PBP7+zq+/XPCGzRG+3j/w/XVoMBha9Hr9fpyuOn+Is+qU4L/g1PT8zGAwLNp8qF+VM8PX0ev1kQaDYdztsSqcMRKTOMsbL1q8aT/1eJ5XP4uefwusAv5vvV6/ATiHs+7xbpwayR8s4px2O4C/upNqqAWnz1IizuowS3D6Nf3Ac82bE14E/i+9Xn8EZ2WYCZzBBU/j1BTsBf6n55r32Ph6/wS+vA7BWcWuBvjfer1+C9CIs7+bcLoL/N8ebJufh+BOBapdd34VOVFX6/X6N+78f9BgMCz2SmIH9Hq9EWcQ0wRQAjyFU7P+vMFgWOxWHq/ZT/3Cq5/HwmAw9Ov1+lU4tT27cSYKnwA+Bf7CYDAsZlPeQeD/4DRLLsOZimcK52H5FvC/3W+gi5AjOPNoLsdp9gnD6Tt5Emcf31rkFXF8vX+Az69DoX2txKm52oFTIOgB/jfwX3xgHX4VKMdZHlXJEu7mQG1n8ZfB/Q3wMs6sAyHAbeDnwF8aDIY2D7ZrrvCa/VTlcCz6fduPHz9+/Pjx48fPVwRPFynw48ePHz9+/Pjx4+eh8Quvfvz48ePHjx8/fhYNfuHVjx8/fvz48ePHz6LBL7z68ePHjx8/fvz4WTT4hVc/fvz48ePHjx8/i4aHTpWl1+sXfVoCg8Ggut9zvt4/8P0++kL/wPf76J+nvt0/8P0++kL/wPf76J+nvts/v+bVjx8/fvz48ePHz6LhkYsUGAyG+WjHvKLX6x/6tb7eP/D9Ps5l/6xWKzabjYCAAAID57emh3+euuLrfZzv/tntdtTqudVP+MfQlcXYP/D9PvrnqSu+2D9/hS0/fh5AYGAgAQEBqFQPtD758eN1zLXg6sePHz/egl949eNnFkTlOZVKJQVXh8OB1WpFrVYTEBDgyeb58SOx2+1MT0/T0dFBS0sLYWFhVFZWEhkZCSAtB378+PHzuMzMzGCxWHA4HKjVapRVWgMCAggKClqQ/cYvvPrxMwtCYJ2enmZmZoagoCDCwsLQaDSAq3DrZ3HjcDikiX2xjKfD4cBisRAUFIRaraatrY3333+f2tpaysvLKSwslMKr1Wr1C6/cHWdwrltPaqZnK8vucDhwOBzywqxsq5iXi2V++vE9xNzUarVotdoHvtZut7vMZZj7uesXXv34cUNoqsbHx9m7dy+1tbWUlpayY8cOEhISAOdCttlsUpj1s3ixWCzYbDYCAwMXzXgqhVeAU6dO8cYbb2A0GiktLfW7DMyCzWbDbDbjcDjQaDRoNBqPCoM2m01qr1QqFWazGZvNRlBQECqVCovFgt1ud3Fd8l9C/HgKIYw+DBaLBavVikajkXN2rueuX3idZ8QNRCAG3263y5u1O0Ir4K2aILvdjtVqlX0TbQVcblui/d7Yh9kQ2reAgAAmJyc5efIk77//PqdPn6agoID+/n6qqqrIy8sjJSVF9tlms3lck+Pn0RHjLQTAxYK4XIWFhQFw4sQJfve739HR0UFkZCRhYWEuwYWLZf3NB2KPEgGX8x10+SDcNavubQkODnb5/X5tXaxWH3HmuZ+H4vwQ34943P11i62/voZarcZisXDr1i3a2tqwWq0EBwfLi7RarSYmJobs7GxiY2Nn1c7abDb5WY87nn7hdZ6536J7kLCjFPy8EdE+sREr2yp+LjbBFZzmVSHI9Pb2cvDgQerq6ujr66Ovr4/m5mZWrlzJM888w7Zt28jIyAD8gTGLlcU0N5XMzMwQGhoKwI0bN/jpT3/KZ599BkBhYSE6nc5Fy7FY+zkXuPvkeZK5Mp8u1vFUKjgEynPQ/bxYrP30Vex2O1evXuWf/umfeO+995ieniYhIQG73c7Y2BharZaKigpeffVVvvGNb8wqvCrH+nF5LOHVbrdjs9mk86643SpvTV9FU4e4icxmlhIC38N+J+6mI0+iHNNH0WJYLBYsFguANM16+8Yk5rbZbJYa8p6eHmpqahgdHaW1tZWNGzeyYsUK4uLi5PsexbQyH4igMpvNJjUdYr4FBATIfsHdC8ZsFyX3QDV3/6X59meaa5QaOOHyIebv8ePHaW5upqioiMrKSqlN8NY+hYSEADA+Ps7vfvc7PvroIwDKy8t58cUX2bBhg9TKwv01eL6McrxVKhUmk4lLly5x8eJFrFYr5eXlVFZWEh4evqBjrVKpmJmZYXBwkL6+Pqanp9HpdAQFBXHx4kW6urooLy8nNjaW8+fPMzIyQl5eHqmpqURHR5OYmEhkZKTLGevtl2eLxSLPjPu19YvSuol9DZzmZ2/vs69gtVqlPFNbW8vbb7/NO++8w9jYGAAdHR3ytRMTExw/fhyz2cyVK1coLS0lNTWVyMhIOXcjIiLmrG2PtasJdf/D+ond7wbsrYfE4yA0eDabjfb2dgYGBgCkMJGenk5ycjJwd3ErBYFH/W4XAqXgIvwExQHh7jYgDg2VSiX9y7wd5eUgPj6edevWcePGDfr6+rBYLGi1WkZHRzl27BgXL17k6tWr/N7v/R5PPPGEHEtPCz2e/L493fcHoTzsrFYrFotFCnWffPIJb731Frt37yY5OZklS5a4uPd4y0EpAq9UKhXDw8O8//77/OY3vwGcGtddu3bx/PPPs2TJEvl6oUz4qiFMnGJNt7W18atf/Yq///u/B+DHP/4x+fn5hIeHz/v3pJxDg4OD1NXVUV9fT3d3N3a7nZSUFKxWK//6r/9KU1MTu3fvJisrizfffJPh4WEqKipYsWIFSUlJ5OTkUF5eTnFxsVzj3jRHZ0MZ5GoymZiYmJBBsDqdDq1We4+GXHnWiN8Xak/7spr6+82fxejmIeZUYGAgNpuNhoYGfvnLX/LLX/6SqakpNBoNgYGBGI1Gl/dZrVaOHj3K0aNHiY+Pp7q6muzsbOLj4yksLKS8vJz09HSplX2cM2PBruQmk0nenNwPBuHU+6haSW9DaOqUvkunT5/mN7/5DfX19TIyGCArK4vs7GwcDgdms1k+rlariY2NJTs7m/z8fGmaFp/vCd9K91Q7V69e5ZNPPuH06dPY7Xby8/NlX8bHx9HpdOTn55OSkkJcXBxJSUkL2t4vi5iDANHR0WzZsoWZmRkALl26xPDwsNQgT05OcuDAASYnJ7l9+zZbt24lNzcXrVaL1Wpd1PP4y2Cz2ZiZmSEwMNDrfUiF5ln5+9DQEA0NDdy8eZOMjAyvFQxExPyFCxd47733uH79Otu2beOFF15g9erVUnCF+wdI2Gw2efEUnwl43CfUndk0/g/zHvHaqakpenp6GB8f5/Lly5w7d06+TljGxHvmE/H5U1NTHDp0iH/5l3+hvr6e2NhYcnJy6Orq4ubNmzQ1NQFw4cIFGhoaGB4eBqCuro7h4WHsdjsBAQE888wz/Mmf/Ak5OTnz2u7HxWQyERAQIL/nxsZGTp06xeXLlxkaGiI+Pp6VK1eycuVKkpKSmJycZGxsDJVKRUhIiNxTAgICiI2NJTY2Vn72fJ2FZrMZs9kMuArQSsWScr64x3go3enEeaK0TIvXePvZYDab5X6gVqs5duwYe/fuZWpqCnD6ZwvXJaUAK2Q8gIGBAY4fPy5ln9jYWFauXMmOHTtYsWIFOp3usS4kX3qncjgczMzMMD4+zvDwMDMzM0RGRhITE0NAQICcAEFBQYSGht7jjP5FKCMxvenweBABAQHSpNfV1UVtbS379u3jgw8+oL+//57Xh4SEuExioQ1KT09n+fLllJWVkZ+fT1ZWFkuWLEGn0wELr+ESmyZAf38/+/bt480336S5uRmdTkdfXx9XrlxheHiYgYEBgoODyczMJDU1lfT0dAoKCsjMzCQ6Opq4uDji4uK86pB0R3y/MTEx7Ny5k8DAQCIjIzl37hwTExMEBwdjMpkYHBzkyJEjDAwMMD4+zvbt21m2bJmLyXahx8pqtTI1NcX4+DhGo1GuQ51OR1hYGNPT00xMTMi5KrS0gYGBUjAS0dhCGyUiRwMDA9FqtdhsNqxWK1qtVt7MNRqN3MyEdcGbNA1GoxGLxUJERARarVZeQgCSkpJISUnBbDYzMDAgo2SVASSeRHyfYs309PRw5swZLl68SGRkJLt37+bVV1+V+6TIRazcN4WrhNKFZDY8rSVSpth5VL9/pTuIw+Ggvr6eI0eO0NPTQ2trK/X19QCsXr2aJ598Upow50uQUAoxVquVpqYmPv30U/bv3w84/erVajUTExO0tbXJ93V2dsr/BwUFYTabXZ5/++23iY2N5Rvf+AY5OTnysugtlg/hZiXOfJvNxsWLF9mzZw8HDx7kypUrTE1NERYWxtWrV2lpaSE7O5uxsTF6enpkxgUhA2i1WpKSkigoKCA/P5+kpCQ5ZnO114jvLigoaM4v37OddcJ9y93i6i37ptC6Aly7do1jx47JeRkWFsbExAQTExOAc/+MjIzEbDYzNjYm00sCjI2NSReDGzdu0NjYyO3btwkICGDbtm3AXVnvUWWCLy1BjI2N0dTUxPHjx9m7dy+dnZ2sXr2aHTt2EBYWJs3kYtIVFBQ80ucrc9wtBpQ3+Z6eHv75n/+Zjz76iLa2NkZHR2d9j7vKHZzBGE1NTfT09HDy5EkCAwMpLCzkD/7gD3juueeAhTcHio3C4XBw6dIlDh48CMDrr79OeXk5w8PDNDY2SnPswMAAR48eRaVSER4eTnh4OMHBwSxZsoQXXniB3bt3ExcX5/GDcjbcN4/Y2Fi2b98u2z8xMYFKpaK7u5uzZ8/S3d3N1atXcTgcTE9PExYWxrJlywAWXANrNpvp6OigpqaGo0eP0tLSQl9fHxqNhrVr11JWVkZzczPnz58nPDxcRoUmJycTHR0tzXoOhwOdTkdcXBwBAQEMDQ0xNDSETqcjLS1NCsfCD296epqkpCSpYRebsqcvKMJiYLVaqauro7OzkxUrVpCTk+PSNnGQiA3bm+Yj3NW2ija3t7dz+fJlZmZmKC4uprKyUgqqZrP5voev0s/3QSgvq57gy2q7xZwzGo1cu3aNDz/8kE8++YTx8XEGBwex2+2Ul5fzk5/8hCeffJKgoCCpEZsPlN/39PQ0N27coL293eU1TU1NLhcpd2Z7bnh4mL/+679meHiYH/3oRxQWFs5twx8TsZYE+/bt46233qKmpka6YIFTE3369GkaGxuJjIzEYrFIwUecDcKlIDAwkMzMTLZs2cIzzzzDsmXL5PjNxXqdD8FfaJFFvmV33Oe5Nwiu4vIo9pCmpibeffddrly5Muvrs7Ky+NGPfsSaNWvo6emRLgONjY2zvn5sbIxPPvmEkpISF+FVub89LF/6dLl9+zYnT55k3759HDt2DHAuqtHRUYKCgqTJIzY2liVLlpCbm0t0dLQMgBGO68HBweTl5ZGcnCw1OAkJCS4bsJjs3u43OT4+TldXFx999BHvvPMOzc3NgPMWExcXR2xsrNwohSbMaDQyNTVFUFAQ4eHh2Gw2Ojs76ezslDeWW7dukZiYSEpKily0MP83bXGBEAuspaWFY8eO0dLSQllZGa+//joFBQXcvn1bmoKMRiO3b9+Wm/To6CiXL1+ms7OTqKgoGYC2EO1/HMSC0mg0REdHs2HDBrKysjCZTAB0d3ej0+nYt28fPT09XLt2DbPZTEREBBEREWRnZ0sN0Hy3U8ypiYkJzp07x9tvvy21O4KmpiYKCgpoa2uTph+NRoNOpyM2Npa4uDipMbbb7YSHh6PT6QgMDGRkZITR0VEiIyNJTExkYmKC0dFR4uLi5JoOCgqipKSETZs2SdO1OMQ8McZC4AsICMBoNHL8+HGOHDnC6Ogo8fHxLtpxs9nMzMzMrEKbN8xPpalyeHiYo0ePcunSJRITE1mzZo28NIgcpu6IQ1L4mfX19dHY2EhnZycmk4mQkBCSk5MpKCggLS1NmjuF5WshUGpNxd80Go1SC/dF2rCZmRmX/v3qV7/i3Xffpbe3F3Bqv7KysnjhhRfYvHkzkZGRLnNkvhHfZWpqKiUlJRiNRgICAmS1ovDwcAIDA4mNjSU9PZ2ZmRmuXr1KT08ParVaKjpCQ0MZHR1lfHycY8eOsX79ehkUI/6OJ7XmytzXImPLBx98wNGjRxkZGZGvFW00mUz09vbKcYK7Jmm73c7o6Ki0HnV1ddHd3c3Q0BDbtm1j3bp1xMTEAHetll+272LONTQ00NTUhM1mIzg4WKaFDAgIQKvVSquyMnjMbDYzOTmJSqVCp9MRHh7OxMQEnZ2dWK1WkpKSpEwTHBxMUlISaWlpX5jo3xMo1/zw8DAfffQR7733Hu3t7dLKZjabiY6Opri4mF27dvF7v/d7pKamYrfbSU9PZ8mSJVy4cIHm5mZ6e3sZHR1FpVIRHBzMyMgIJpOJs2fPcvHiRVasWEFQUNB904Y+iC8tvE5MTNDa2ir9dMB5k9q3b989jtfKgB4xuYWWJyQkhF27drFq1SpMJhPBwcFUVFSwbNkyuSAXQ215k8nEuXPn+NWvfsXBgwfp7u6WzyUkJLB06VKWLl0qJ2xhYSEZGRkMDg7S29tLREQECQkJ2Gw26uvrOXfuHE1NTXR0dGA0Gjl27BjJycnEx8eTlZUF4JKkfD5QVh4CpwBUW1uLzWYjOztbJuxPSkpCp9MRGhqKw+GQG7NWq2VoaIhPP/2UpqYmcnJyWLlyJeHh4YB33DTvh7tpNSYmhqioKPmc0WiU/Th06BDt7e3cuHGDjz76iMjISJ5//nkyMjJQqVTzWp5TudYsFgvDw8OMj4/f8zqr1cq1a9dcHhNa8oGBAZcgO3hwtgExL2w2G2FhYajVasbHx1GpVPyP//E/+MlPfgI4hSmtVutR4RWch+r169c5cOAAycnJbNq0iczMTDkmyj3KXfjzBrcB4QJgtVqlKby3t5cdO3awadMmOS81Gs0XHgJdXV18+umn/O53v6Ourg6r1UpoaCjZ2dm8+uqrfO9730OtVstMFQvpsiX+lt1u58qVK7S1tRETE0N+fj7x8fH3BIXej9u3b3P16lWpQFGr1RQVFfHaa6+xa9cu6X413/EDys/WarXk5eWxefNmsrKypKVOrVbLmIfY2FgqKyuprq5mbGyM3/zmN5w4cYLe3l6uX79Ob2+vFOTAub5aW1sZHh52KQXsSYuHWFO3b9/mzTff5M0336S1tdXFFxJc15VGoyE4OPj/z95/h0d95Xm++EtSBZVyzjkjgkCAwCKbDDbJsbvtbrt7Okz13r2zM7O7c+/d/e3uvc8+O7P7zOz07Extu4PbdrvbbmMbjAGDwWQRRBKSQBGUcyrlClLp90dxjr9VCIyNpCrJ9X4eP8IVz6mTPufzeX/eHwICAkhKSiI3N5f4+HipKVpVVUVDQwMDAwPU19fz7rvv0tDQgJ+fH5s2bZKfNxWG+9GjR/nv//2/09PTQ1hYGFarFbPZjFqtJjg4GI1Gw8jICCMjI/LiIyKOwcHBJCQkEBwczNDQEJ2dnQwMDKBWq4mPjychIYHY2FgWLlzIpk2bmDdv3hO1daqhjEIYjUZOnz7N8ePHqa2tBezzeXx8HK1WS2FhIT/5yU/Yvn07arVannEFBQUsXLiQzs5Orl69ytGjRzlz5oy0YwTKysr47W9/C8DSpUvl/vZ1bL1vPMsjIyMJCwujp6dHPjZZiEN5iAgoJ/Lo6Cjnz5+nrq6OkZERJiYmOHbsGAsWLKCgoIBly5aRmpoqP2t4eBiVSvW1ObRTDWeuTXNzM+fOnePkyZMOnKWQkBB27NjBCy+8QEJCgsyAjY2NJSwsjKGhIYaHh/H19cXX1xcvLy/y8/NZtmwZJ06c4NSpU5SXl1NXV8ft27elNxYeTDyZajiPXX19PXfv3kWj0RAXFycnure3t+Q7enl5yX+D3fP+/PPP093dTUBAAEFBQQ5Gg7tD6Z1RGqA6nY7Nmzej0Wjo6uqSnub6+nqKi4spLCyUyXbTabwqPzc4OJjVq1ejVqtZvHgxHR0dcvxGRkYwmUxotVp0Oh02mw2z2Sz5qx0dHVRXV3/t7x8aGpL/npiY4Pbt27S3txMTE+PyELzou1arleM4Ojr6UAPPWUDdHaCcOyKprLOzk6ysLHbv3k1hYSEqlUpSiZTzQUQPfHx8aGxs5OTJk5w9e5by8nJu3Ljh8D2NjY2kpKSwYcMG0tPTZ+RiKeSPRLh/YmJCtvPDDz+kr6+PHTt2EBUVRWRkpMP7nJNpRKJkTU0Nzc3NFBQU4OPjI3nq6enpbNq0iczMTAfHyXT2UWm8ajQaMjIyCA8PZ2BgQGpKq1Qq6ckTlwi1Wo1Op+O1114jPT2dkydPPuCdFIbv8PCwg0HrKijpKtXV1bz55pscOHDAYU/RarXExsYSHx+PWq2mvr6exsZGFi5cyAsvvEBWVha+vr5ER0cTHh7O2NgYXV1d9PT00NXVRUlJCUePHqW2tpaioiKZFJybmztl0cjBwUFJeezu7paPC5WER0E4Ah72XGNjIxEREZSVlXHx4kVycnJITEwkICAAPz8/GV0NCgpCp9PN+CVE/G5C8uqDDz6Q+4SXl5ecZ4mJiezcuZP169dLL7s4W1QqlaQKRkdHExkZyeDgoJTU8vX1xcfHh5aWFo4cOcKiRYtYunQp8GWEaNqMVzE54uPjWbVqFevXr+fkyZP4+voSHByM2WyWNxEl6V64nIeGhh44IJqbm2lubpb/X1ZWxunTp8nPz2f79u1s3ryZ3NxcgoKCpLfL1RA3PXFYtLW1UVdXJ4nKABEREWzYsIHXXnuNNWvWTPo5wcHB0nMyOjqKTqdDp9Oh1Wq5cuWK/D3F89/Evf5N4ZywMjIywujoqNxcxOISyXsimQccCek6nc5BNWE2YTLOqriJe3t7U1hYSE1Njdxce3t7aWpqcgiRTadBpFTu0Ol0Ukanurqau3fvypCN2NydK7uJEHFzczNFRUVUVlbK6k1jY2NSJUSogoyPj9Pb20tfXx9Wq1UmKI6Ojkrqy8DAANHR0S41XpXjNjg4KC+bQsPV3YzUh0F4I8C+x1y7do2+vj6WLl3K8uXL5RoU2cHw5XwTF67e3l4+//xz/uEf/kFy0UJCQqQDQBhFDQ0NVFRUEBsbi5+f37R7XZXyR6Ojo5SXl3Pq1CkOHz5McXExsbGxMoKjnEfKfyvD/mazmaamJrRaLatXr2ZoaIjLly8TFhbGwoULSUhIkO+faU6vt7e3pBQ9CiJULtZSdnY2169ff2AdCUdRcHCwgyPHVetNzL3W1lY+/PBDfve739HZ2YlWqyUjI4PAwECCg4PJysoiLy8PPz8/bty4QWlpKStXruSHP/yhjOQpkZGRIf9dUVFBZGQkf/zjH6moqODAgQMEBwfzyiuvOFCVnsToW7ZsGfv27aO8vByTySQvccqLrXN0SjgCBCVS6GyLbH2RD9Hb2yujAZcvX0aj0ZCTk0NUVBRarZa4uDjpec/MzJwx41V5QR4YGODUqVO8//77nDlzhv7+ftRqNRqNRtLNCgoKWL9+PYGBgZKuoaRhCWqgv78/GzZsoLGxkdraWsrKyhz0ehsbG7l9+zZ1dXWSZvd15u/X/nXEh2s0GlatWkViYiJlZWU0NDTI5+rr62lubpaNEVyQzs5OPv/888e6KZrNZi5fvsy9e/coLi5mz549vPjiiw6L351kbMQmqvQ6bty4kb/5m79h8eLFj/V+m80mw0llZWUUFRVx9+5d4EuX/Uwar84QB2R0dDTR0dEPhPGUC1zpVVHWN54LELXHRQjl1VdfxcfHh//4H/8jbW1t3L17d8aMVwHlotdoNOTm5pKUlITZbJaXR2XI3znLdXR0lB07dsjkQiFVI3jsarVaeo0+/vhjPv74Y1kSUKzD7Oxs8vLySE5OxsvL62uHgaYKyszh8fFxKisraW9vx8fHB5PJRG9vr8Nlys/PDz8/P8xmszR03QFiDQmqUXNzMxcuXKClpYWNGzfKiwM4jr/YJ8SF5dq1a+zfv18arjExMezatYuMjAxKS0s5ePAgQ0NDMmHmUQlEU9Uv53bX1dXxy1/+kqKiIkJCQvjud7/L0qVLWX9fQ1nMXWePsHL/9/HxIS4ujq6uLu7evSsPy/Xr17NlyxZJFwD3LdzQ0tLCrVu3GB4eJigoSPZFUIGU/OeIiAiZSyIw0+ehkv5QV1eHwWDg008/lR5IrVbLc889J8PLWq1WXmwLCgro6ekhPDx8UsPVGfPmzeNf/at/hc1m4z//5/9MXV0dn332GZGRkWzZskUaQE+CNWvWkJ6eTnd3N6Ojo9IBp4xCirPO29sbnU5Hf38/d+7cob29nbGxMbq7u+np6cHf35/w8HCGh4e5efOmA8US7OdpVVUVzc3NspCPSP4NDw8nPj5evnY6uczKC2BVVRVvv/02R44ckbREERnQ6XTk5eWxbt06ucc7J+eKuamspLVt2zbGx8f53e9+R3FxsUPkXazT8PBwSX15XLvuG4+0zWYjKCiIBQsWsGDBAnp6emSWYF1dHa2trQ4TKTAwkPb2dkJDQ7l9+zb+/v74+vrKQevp6aG1tVUuUl9fX8xmMx0dHRw+fJj+/n66urpYuXIlWVlZREREuDSBS7mJgN1gUHoewe5eX7BgAWC/0QjCtjIbUxitarVa3l5OnTrFm2++yaVLl2SCkCuE55UHxfDwMK2trfT39xMcHExkZKRsj6gP7+zRUBLSnZO/3BHCWzyZXI9zCVybzYbJZMLf3x+dTkdaWpqc7729vfKWOlMQ81FURFGr1Q/Ncp0MwcHBD9XjVYYE+/v7uXTpkowweHl5yXrWW7duZe3atS5PRFBuxgMDAzQ0NNDR0cHY2BgWi4WRkRGHDTQmJob4+Hiam5u5d+8eFovFQfbLlVDuMZ2dnXR0dJCSksKaNWscjDHlby4qHU5MTFBeXs7Bgwe5dOkSKpWKhQsX8uyzz/LCCy9IL7n4LaKiokhOTiY4OHjaEraUh3Bvb69cQ1evXuXIkSOMjo7yve99j5dffpnk5GQHTv9kh7dyrDUaDUajkTNnznDx4kXu3LlDVlYWzzzzDCtWrECtVjsYWzMN8ZsKQ0h5iezv76ekpISioiJqamoYGhrCZrMxODhIW1ubvAxrNBq59tLT01m0aBGBgYEu0wBXzs/y8nI++eQTampqALt3f926dTzzzDMsX778gfeGhoZKrVoRrRUaqMqxtlqtmEwmQkJCCAkJYfv27RQVFcny3SLp7Yc//KGsmPZN+iGcbMp19bhYsGABnZ2deHl5SclIPz8/QkJCGBkZITc3l+vXr0u1he7ubtra2jCbzQ7R2kuXLuHv709UVBS7du2SVRG/STb+V0H0WXxuX18fly9fpqioSF5g/fz8ZCJodHQ0e/fuZd26dfLi7EzfVEZTxGfExMTw3HPP0dDQQENDg0M+UF9fH83NzYyMjMyc8ersSVMKCEdFRUmvm4Ag5O7YsQOTySTlL8bGxmhtbaWoqIgjR45QVFTE8PAwJpNJPg9w9epVzp8/T1JSEj/72c947bXXiI2NdWl2pfJ7lRq3ApWVlXz++eesWrVKUgPAUXrKOUmkvb2dAwcO8MknnzA0NCR/g7CwMNLS0hxoEzMR1hPfYTQaZda50Wh0IKzDV8vruFON8YdB2d+HaU0Kj6KXl5e8bNTU1HDu3DlJSHe+2Mxk+8VGNJVrQhgQZrOZK1euUF1d7aDjvGjRIl588UV2794tvUDTsdk+LpyT2Pr6+hgYGMDb25uQkBBCQ0MdjL2MjAxSU1O5desWlZWVsm+T8fVnEsrxBLvn1d/fn127dvG9730PtVrN6OiolBMCx4vG7du3+d//+39z6NAhhoaGyMjIYNu2bbz++uukpKRgsVjw9/dHq9ViMpmIjo5m/vz5gN2YsNlsU3oRUSoKgN3LU1RUhEajobq6Gp1OR2FhIc899xyZmZmP9ZmC0uLl5cXw8DCHDx/mV7/6FUajkczMTFatWsXixYtnrCDBo6BMeBQqCl5eXnR3d/P555/z7rvvcv78eZkDMTExIeeimIfCOZKSksKSJUtk8q5wiMyU8SoMDI1GIz2GFy9edOCFbtu2jT/7sz+TDpxHQVmRcTKKiPJsSUtL49VXX2ViYoITJ05w8+ZNUlNT+e53v/uNjdcn3S+Tk5MlLUVJmRPjUVhYSH9/P0ajkerqaikpVV9fLx1UQj/85MmTZGZmsnPnTnx8fL6xlNRXQUmDsNlsUodVGXlR7n+ZmZmsWbOGtLQ06Sj5qjaJ3zUwMJD09HTS0tLo6+uTzh2hJPJN5u0T/Rrj4+OSF+Lr6ysNlId5CUXBAmfExsYSERFBQkICq1evllqiYiFERkbKMERjYyNnz55l+fLlhIWFyc3VVZmxwsjJyMhg7dq1MnxgMpm4evWqVBFYtmwZYE9wEaRlMbAWi4XS0lKqq6u5ceMGX3zxhUyEGRsbIzAwkLVr17Jjxw5ZhhRmVjrM39+fnJwcIiMjKSkp4fz58+Tn50vlCMGbEb/HxMQENTU1dHZ2EhMT41ASzl0hPMdfRXEQC3ZsbIzLly9LKRhxg1bKTs00nPmAyo1cSRkQnjmldJngaon3gr2vgqpz8eJF3nrrLa5cueLwHQsXLmTt2rXScBWbn6u87MpN1WQyUVFRQX19vZQiCgoKcpiLIvl0aGiInp4eeWF2JTdW7Ge+vr5ynhUXFzMxMUFmZqZc+8pKWaLNAmVlZRw5coSWlhaSkpLYt2+fLD0K9rkSGxtLdHQ0/f39mM1meTl25kZPFUT7RkZGuH79Om+//TaDg4MkJiayYcMGdu/eTW5uLoDkED4qOVc53+/du0dJSYn0UgYEBBAbG+tw4XcH+pKSgw72dv/pT3/is88+k485a4ArIyuRkZFs2rTJwZs50/1SRtJ6e3v59NNP+eijjzAajQQGBrJgwQJ27drFunXrUKlUDA8PS6+cUnlIOD0eRS0Te7Lgk+p0OrKysqSxCHYP3lQkMI+NjcmL26OgzDXw8fHB19f3kYZcWFiYlPVKS0sjPj6eRYsWcefOHc6dO0dVVZU0XsFeqEKslelKJHVOfBwYGGBwcNBh3xaX/hUrVvDCCy9ITeHHMfaVlylBf/L393f4nfz9/QkJCfnKCMtkeCLjVSR2KPFVX6ycFEoeU3JyMsnJyezbt4+bN2+iUqnYv38/YE+4EB5IEfoRBqKrjFcB0aaAgACefvppqXV6/vx5Ojo6uHDhAgUFBSQnJ0t9SeXE7+rq4saNG3z++eccOnSIe/fuyd8G7OHcNWvW8PLLL0uemzBAZqK/oh0hISEUFhZy+vRpzp49y+eff84zzzwj+bzi4iJ4Ml5eXpSWlnLq1Cmys7PZtm0bGRkZDp5ad6MQCCNcuQmKBSgiB8LwGxoa4vz583zwwQccP36ctrY2wG4IrVq1ShoI4jNcga/6XpGl/VUYHx+nqqqKEydOSJkmLy8vgoODKSgoID8/n6CgIDkv3UmPua6ujuvXrz9AzVEWFenr66O/v1+G+ZRqGK6K6litVjk2vb29nDp1itLSUsnPFXAOsQrh9pqaGoqLi2UirDh8RGaveG9kZCRRUVEyK1wkXk7X/iI+s6uri7q6OsrLy2W7X3/9dVatWiUvDY+SAVTymsE+hvX19dKIEEbIo4x7V0LsNc3NzXz66aecOnUK+JKCJYwYcUZOTNgrEGVmZrJlyxa2bdvmUB52po1XYYAMDw9TXFzMqVOnJF1gyZIl/PjHP2bDhg3ydZNd5r9um8VvI1RDRkZG5HMBAQFTMl+ns0SymHtCFWb16tU0NTWh0Wior693UBIKDQ11oKlNN4QDUtAalQgJCeGll17i5ZdflhQVQU16FJTyZWJNCoUbgeHhYQctX/G+x8GUjpIyWcf55qK8OSqJz5N5ahcvXsyf//mfo9Vq+eMf/ygXsihPKaQlnD/fFVAOoFar5dlnn8VoNFJVVUVjYyNNTU388Y9/RKVS8fOf/1y202q10tDQwP79+6W8ljBcwb6Zp6SksH79evbu3cvKlSslz2QmD1Xl94SFhREXFwd8KQmVmppKcHAwKpUKq9XqMDGHhoa4ffs2PT09pKWlkZKSIr2z7mC8OvP6qqurOX/+PGVlZRiNRoKDg0lPT5eC0oLX3NfXJ8NkJSUl0nAFe+nJ119/nYULF8rH3MmYA2TFIZF8p+RqT3ag3Llzh9/97nccOXJEljlWq9Xs27ePV155hezsbLy8vGRUYTq1hx8FsVEKcfHa2lpOnToldQrhSw7s8PAwgYGBmM1mqbIQFRXF/PnzpdHoCg6hgHL/HBoakpWYVqxYQXJysnxOiPqLA0Vw7j7//HOOHz8uq0pt27ZNVjkUhrugbI2MjJCdne1QqWm6aT7OZ4SXl70an0ajkaoqX0dZZnh4mPHxcWJjY4mNjaWpqQlvb29CQ0MdPLeuGk9neltHRwcXL17k008/5cSJEzLSJjyMAiL3w2azERISwl/91V/JkPl0J9ZNBudCBDdu3OBPf/qTLMgDkJCQwMaNG4mJiXHg4E8VJnMyuDoBTxmlUf5b6agSXlqlRzIxMZH09HT8/PykJqxIxBPvFUmxM9GHyb4nMzOThQsXygickPv8up8NSO+5QGVlJRcvXmTVqlUyae9xFSOmdMSVN4WHbRIPa5SYkFarFV9fXzZs2ICfnx89PT0ynDI2NsbQ0BANDQ00NTU5TN6ZqpTiDNHn0dFRKWS8bt067t27xxdffEFlZSVXr16VItXp6elSwqiqqorf/va3DhpooaGhxMTEkJKSIg+dgoICgEcaGNPZNwFvb2+Cg4MJCAjAarXS0dFBb2+v5PMqx91sNtPd3c3AwAD+/v6y7Kg7QYRjRJsrKip45513OH/+vHxNVlYWOTk5khuo0Whoa2vj5s2b0qslZGDS09PZu3cvGzdulDdN5yS2mYZyE52YmKC6upqrV6/S3NyMr68vsbGxstKb1WrF39+fhIQEqSbR2NjIkSNH+OCDD2hpaZG/VWZmJs8//zwbNmxwWd+coSybLAqmHD16VHpoxsfHuXz5Mp2dnVJL02q1UlZWRl1dHWlpaaSlpTkctK40dgQEPWtiYgKdTjepUaeUuxkZGeHGjRtUVFSgUqlYv349a9asISAggJGREYf+1dbW0traSk5ODhkZGfK56b4cO3vobTabrCqYmJgoHxeSi0ovjtLbLDivkZGRJCcno9VqJd0sLS2NBQsWOGjEuvIyIrynYFeA+OUvf8mJEyeAL6MgwlEjoDQoVCqVQ/VJV+i7CgeUGLuKigo+++wzent7UalU6HQ6UlNTpZNjOqg3Yu4o54+rz5evcigpzwAhLenl5UVzc7NMJhWvy8zMJCUlxSFjfzrmrZhXgldbUlLC1atXHSgrCxcuZOfOnQ7qLN/kIqJct8pcn87OTq5fv+5QL+Bx6R9upRciqlUI5Obm8txzz2E0Grly5Yr8sW/dusUnn3zCzp07HcrDudLDJYjrZrOZnJwc/s2/+TdER0fzL//yLzQ1NVFeXs7f//3fo9VqaW1tlcUJlJl3sbGxbN26lU2bNjF//nxCQ0MdEr1mOozp/F0RERHExcWhVquxWCwPHEAi5GKz2bh69SrXrl1jYGCAZcuWkZSU5JBM5CpP+aMgMl6VuHfvHp2dnQ5lKy0WiwzxBAYGsmzZMp5++mkKCgrIy8uT/XQHfp3y0BweHubYsWO89dZbdHR0yOpYghJhsVgICgoiJydHCtVXVlZSUlJCa2ur/LyIiAgpDC7CskpvgrPXYaagvLGPjo7KOSi8ekL38/Lly/I3EfuNKN4gCoWI9rtDMqjgBAqvsXKjV3p7BMbHx+X8DA0NJSsryyGxR/xGQpu6t7cXX19fBxnC6Ug6FAfY+Pg4g4ODDgUuBgYGKC8vZ9myZQ7Gq0hEUiqAKBPZjEYjJpNJcls7OjowGo2EhIRQUFDAggUL3OIiKTyWot3FxcXScFWr1Xh5eTlknYvfX2mgGo1GDAYDTU1NrFixgrS0NJdEsJTeOaFfCvbzYfXq1axYsUK2abo8+Ep+PsyOKpzgWKq5ubmZzz//nPPnz8uCCGq1mvT0dClFBdPneXU2Xq9evUpZWZnDa/Ly8njmmWdISkpyuDx+XSj30omJCQdbT6l4Ip5/HLiN8So6phSk1mg0pKamkpKSwo0bNxwWd0VFBe3t7Q4ixjMFcfsUGYUajeaBRJ/ExETCw8MJCAiQPJKzZ88+cFvOysqShmpqaqpc/EoNR+Gmn+lNSoyD8OokJiZSUFBATk4ON2/epKysjObmZkmcHxkZwcfHh76+PkpKSigpKWFwcJD4+HhpvCqz+F0N5zbk5OTw0ksvkZKSImXbmpubHSqtCKhUKikqvWPHDjZu3OhgIIB7GK9KjIyMcPv2bUpKSh75utraWqKjo5mYmKCjo0MWZRBGgK+vLwMDAxw8eJBr164REREhLzZpaWlSeWSmlUCcuY3COBL/9vb2Ji4ujtDQUHx8fAgICGBsbEzyzZxv/K705Ci/W4TafH195Z7iDOckC7FXTkxM4O/vLy+ZInrQ2dnJ/v37KSoqwtfXl7y8PNLS0hyMjqnuj3I/GRgYoKOjQz5vsVi4ceMG/v7+DA8PSznEh8kWic/r6uri8uXLaLVauru7Zfg6KSmJtLQ0+X5XR32cPZBCTxnse4lzgpYyzCqysU0mE8eOHaO2tpYXXniBH/zgBzJJ0lVSWco9LjQ0lKeffpply5Y5qARM1W8vLjCjo6MMDw87cF4jIyPdbr+dDCaTSVIeh4aGKCoqctiP58+fz/r168nNzZ12z6vSoPTy8pKJxkqZR+GQetKCM1ar9bES4b4O3MZ4FVDeTm02G0NDQ5NW5VKpVFRVVZGXl0dgYOCMlosVHkflgCo35+HhYU6fPs2ZM2fo6+uTIr9KLwLYJXq+853vsGvXLhITE6VmqPMkcTVnUilHs3TpUtauXcvNmzf57LPPyM/PZ/ny5bISjo+PD8PDw9y9e5eGhgZ8fX3x8/OTxrigd7jDLdm5DQsWLJAG6d27d2lqauLGjRvcuHGD3t5eJiYmZMWpsbExgoODWbJkCZs2bZI8xMeRD5lJKPvo7e1NfHw8MTExDqUmnWEymSSVRaw7ZfJLR0cHnZ2dnDhxgsDAQJmImJKSwvPPP8+zzz4rtUKd2zBTcN7ww8LCyMrKYuvWrSxcuBCdTkdsbCxDQ0P8+te/5tChQ7IIhzvMTSUEnSoqKoqFCxc66PE6G5si/C68s4GBgQ7Grkh4uXTpEm+//TYtLS3k5OSwceNGmQAkkram8sB0noe+vr4OF/TR0VHu3LlDY2MjpaWlrFixgtWrV7Ny5Uqio6MdPquqqkom2F27do2PP/5YCr23tLRIjWPncXTluDr/lvPnzycjI4Pa2toHDFdnODs87t27x2effUZubq7kMc+0VJaA8jcNDAwkPj6eqKgovLy8HHjYTwolLaa/v5+KigpZhj0oKIiYmJhZUXZcUD5MJhNlZWVUVVXR19eHt7c38+bNY9u2bWzevFlSXUREeTr6pJwvPj4+5Ofn89RTT3H58mV58W9oaOD69etSEQq+WblzJdfXy8sLq9Uqz4eoqKhvVCXOfU7Z+1A2XIRNlC5lAYvFwsWLF8nIyGDNmjUOVTCm+gYmKl+JzxYTULR1cHCQiooKWZyhpqaGO3fuUFVVJY0EYbBOTEyg1WpZuHAhu3fvZvfu3Q7JPcrvE0ayqxej8vtDQ0PJzc0lJSVFkq1LS0tZsmSJ/N3HxsaoqqrCZDLh6+sr5bTcEeK3FtmTYWFhrFixgoyMDAYGBigsLJTex46ODq5cucK1a9dobm6mqanJofqNSKJwN+NVbFABAQHs2rWL+Ph4ampqaGpqoru7m8HBQYaHh+nv75cafMrwluBoiTFUUiv6+/tliPrWrVsOHnphnMykB1Z8l1hvAQEBrFmzhqefflqKusfGxqJSqWTJw4iICAf6g6vXmzMEbWB0dJTW1la6u7tlOUzla8A+HvX19bS3t6PRaCgsLHTgq42NjVFdXU1RUZFMZJs3b56DOsZ0rVVl1nxqaipr166loqLCIapmNBopLS2lo6OD0tJSPvvsM8LCwqQepMVikVERb29vOjo6qKmpoaOjQxp5IoFtsnPDVXDOzt69ezf+/v589NFHVFZWEhAQgE6nw2QySe65cNCIM0RZpvPOnTscPXqUlJQUli9f7hYyhKOjo/T19TE4OCgdGU8CkeQk6FyC1tLa2srhw4e5ffs2AQEBpKWlERYW5hbRvIfBYrFIbXur1cr777/PBx984EDHysrKYtWqVQ5ymNO5FzknmQ0ODtLT0+NwWRLUIrFPirY+ztgq266k3SmpJGIfUPLSH/f8dJ9T9j6UG6e3t7f0cDrDZDLJTX26IQ5xAavVisViwWq10tzcTGlpKcXFxZw5c4Zbt245vE9kX6tUKsxmM8PDw5jNZnx8fIiIiJBeBWEgCI+HO2xGAs4e5oULF7J+/Xqampq4cOECb731FmazmaVLl2Iymbh+/brkQTnzIN0FSvqC+K3F5UetVhMTE0NMTAxZWVnyPX19fcTExGCxWOjs7MRoNHLhwgW2bdvGggUL3E4mCnAYN19fX5YsWcKSJUtobm6WiUqjo6O0t7dz7tw5Wltb5W8gKtsAsrSjMuIg5IxEPXatVotKpXqggtVMGa9Kw1OtVjN//nyCg4NleUrl5Uq0T5S/FQa5uxiuzpxXlUpFY2MjxcXF7Nq1Sz5nMpnQ6XSyb2azmZ6eHoxGI1FRUSxfvtzhMGxpaeHw4cMcPnwYk8lETk4OhYWFDlJGM3H5Cg0NdShYc+3aNcA+buJCJOS7HgeCB2uz2YiKiiIlJcUtErUElCozKpWKmJgYXnnlFcLCwqQEmjJxMigoCI1Gw8WLF/noo4/o6upifHxcGhYWi4VLly6RkpJCVFSU3KdmOvdDua8LB48IRysdNkoNcOf3TfZZSolCpXxVf38/RUVFXLlyRUaDnBMt3WUNKyFohRMTE5w7d4533nmH06dPy+czMzN56qmnyM7OdqCATOdadDZem5qaqKurk/kswnmo1AIXr30cKPnYXV1d1NfX09XV5fD+jIwM8vPzHUocP+6lx+2MVyWUoTDnHyw4OJidO3dSWFgIfFlZZqq9rpMdvMLjeOPGDWpqaujp6aGvr0+GMcBeGz4zM5OcnBwWLlyI1WrlxIkTlJWVMTQ0RHFxMUFBQSxatEhKRCg1Ut0JYhyEJ3XJkiXs3LmTK1eucPPmTd599136+vpITk6mo6ODoaEhQkJCpMC62Wx2+eHhjMnG1Tmr2RmhoaHk5+dTWVnJ+fPnMZvNGI1GBgcHpRHhrnDuT0JCAgEBASxcuBCtVktVVRV3796luLhY8rjFQRgeHk5MTAzz5s0jNzeXwMBAaexptVpZxlKlUrFo0SKWLl06o5XgBJRRiqCgIH7wgx9gtVpJTEx8YF9wPkTFuLvbJUtAHB6ivKSA1Wp1kA1UGvBKr7sYo8uXL3PgwAEqKioAu7Tb+vXrCQ8Pl4fNdHEHnRPgEhISeO655xgfHycoKIj6+nqp4PE4EBcssI+fn5+fpP1s2bLFoUqXu+w/zmH0devWkZeXJx0xwtMoLixLliwhJyeHt956i5KSEoeLZVdXF7W1tbIoA8x8OWPn9SISH0VblMUMnI1XpWQmOBYtcJ4rNpuN8+fPc/DgQYeCMN7e3ixdupSnnnpKViVzp/NTRPaEg+STTz7ht7/9LTdv3pSvyc7O5vXXX+eZZ54hNjZ2WpIlJ4Mz5zU6OprY2FiGh4cd9hjntjzO7yvGcWJigpaWFr744guOHz9OTU2NQ+4S8I2jXW5nvCo7IW4Ak/HQUlJSWLFihfx/s9k8pfqSysxWoQrQ09NDa2urFGW+fv26w8CKEq5CMzE5OZnc3FxSU1MpKSnh8uXL8kARi/H27dsUFhbi5eWFn5+f22yyk0HZthUrVvDSSy8Bds3Xc+fOyWo9CQkJqFQqmagmbt7uAOeEMVFUws/Pj6CgIAe+teAaikPdz8+PjIwMB2NIJOS5S/++CqJPPj4+so73xMQEN27ckAkQExMTDA8PExAQwMqVK1m+fDkJCQlkZGQwf/58AgMDGR0ddZCmEv8WFzHxXTP5uygr96jVaodkTlGfWxi4YpyFN0vQdJTGhSsPQeV3a7VaqfIxMDDA7du32b59OzqdjuDgYBkiF1wyEbHq7++no6NDJvxcuXKFt99+m8uXLwOwcuVKtm7dSk5OjqSHOH/3dEDsCSqVivj4eHbv3k1sbCxVVVXU1dVJ+pXQvYyMjCQmJgatVivDr1FRUURHRzM4OEhxcTFXr15lYGCA7OxsycMXHmd3MmjEHBWcP39//0dW4wsLCyM8PJwbN27IxB5xzg0PD9PU1ORQknUmjFfnuanVajGbzYyOjnL58mXCw8NlBczJ3uesTiKg3CvGxsYYHBxkYGBAllT97LPP+PjjjyVNKSUlhc2bN7N582Y51o+rEToTUFKvxsbGKCoq4p133uHo0aOy9HJYWBi7du3i5ZdfdtBvngkojVdvb2+SkpLIzMyU/HGwO+HEpUpAyJqKf4vPUiYZKmkCV69e5a233uLMmTMPvFaUzH2UsfwwuMcoPwRKjoRyogcGBpKWljatIsXCCwp23sc777zDhQsX6O7uprOzk56eHocfOSEhgfXr17Njxw6WLFkiM/d0Oh1tbW2Ul5dTV1fnsNFotVrJM1RW1HBXKC8HkZGR/OAHP2D+/PmcOHGCqqoqcnNz2bdvH/7+/vz+97+XFdBmSmT5caDUKOzv7+fEiRN0d3ezePFimfwHPGDIKA8dYQiJz1NGBtzVcyegrHAmcPbsWd59911KS0vlYzqdjtWrV/Paa6+xZcsW/Pz8GB8fl2Wgg4KCHvu7ZhqTfa/gXStll8DOVx8cHHTwBLkDlPtZUFAQq1evlmWZDx8+THp6Ovv27ZPjYTKZ5LwW3tOBgQHq6+vp6OhgeHiYo0ePSs3sPXv28KMf/YjCwkJpuM7U/uOcgZ6amkpUVBQbN24EoL29nRMnTnD+/HnUajXr169n7dq1REREyORdcaj6+Phw/fp1/u7v/o7Tp0/LvlosFgcxfXeDmI/Ov7vy/8WFMDY21kF1QUjUWa1WKisrJUULpt94VV78AOLj41m1ahXXr1+noaGBf/mXf6Gqqoof//jHbNu2bVJljK+aZyaTidraWioqKigvL6e8vJw7d+7Q1NQkM+FjY2P58Y9/zA9/+ENiYmJkwpq7GK7gWCXv5s2bvPHGGxQVFckxio2N5Tvf+Q4vvfSSNFxnMsnV2fMaEhJCWFiYw/4pDE1le5TOH2fjVeyx4vHGxkbOnDkjDVdnjWI/Pz8CAwMdxm3WJmyJSejlZRdt7u3tlXwfsG/MaWlpZGRkOCzUqd6klJurxWKhubmZS5cuyR9dhEcmJiaIiYlh7dq1MmPXYrHIKj6tra3cuHGDc+fO0dTUJHUkR0dH8fb2JjAwUBoCou/uDJGUpNFoiImJYfv27SQlJVFXV0dycjKLFy9mbGyM2NhYeSg6Sxi5C4qLi3nvvffQaDRkZmZKIwCQB6MYj8bGRurr66mpqaG0tFQ+LvR6XZlZ/3Uh+Fcmk4mbN2/ywQcfcPToUXp7e9FoNOTk5LBixQo2b97M008/7cBHEkaec9hdbF5KXVlX/hZingpvqzI0pbxMKSv1CA+sM5XAFVB6hkXp6ebmZlpbW6mrq+PQoUP4+PhQWFhIYmKizNb19fWV3jCAkpISfvWrX2G1Wjlz5gxeXl6sWLGCF198ka1bt8oQ9EwXeRGcSOGlCQgIkIZOZGQkgYGBZGVl4e3tzYIFCxySzpyxdetWaegIhZClS5eSmpo6oyo0XwfO8odDQ0MEBATIOdrR0YGXl5eMZAj5OUAm74E9wU0pGaXUw50OOPP68/Pzeemll+jr6+PmzZvYbDYuXrxIQEAA7e3t5OTkEBoaik6nw9/fX0padXR00NXVJT2T4+PjGI1GWltbaW5uprGxkYaGBqqqqqisrJTfFxMTw9KlS1mzZg0vvviiVN5wh4qNzhBrUPDMjx8/7nDRSE1NZe/eveTl5QEzz1d2phjFx8eTnp5OSEiIlHLr7u6mpaXFwVGovBQ6G7UCLS0tFBcXc/bsWT799FO5jwpqh8ViISEhgVWrVrFixYq5x3nt7e2lrKyM2tpaB25TVFQUaWlpDgL+Uw3lDxgREcGqVau4d++evDkpPXAxMTEEBgZisVg4c+YMd+/elR7V+vp6Ghoa5Gbj6+sr/52dnU1mZqb8Lnf2FAgIPqSAj48PixYtYtGiRfKxkZEREhISiImJobGxUXK4XAmxuYnft6WlhZMnT/LFF1+wZs0a5s2bh7+/v4NGq9AUFGVGz507R01NDUajUS5unU7nwLV2J+N8MghuOEBzczOffPIJp0+flptqdHQ0L7zwAvv27SMtLc3hAiI2u4dtWM7yVK6E8zxVQmmUKvuj0WgceLPOfXUFxNoJDw9nzZo1XL16lXPnznHmzBmam5tpaGjg5ZdfJikpCYvFQl1dHe3t7fISdvv2be7evSv/PzExkdWrVzNv3jy5Fly1Np0jakpPZEpKygMKCEoql0i4U6lUDA4OEh0dTVpaGl1dXVRUVNDZ2SnXsvKi5erxFFAari0tLdy+fZuIiAgWL16Mt7c3YWFhsv02m81Ba1oZYvX39/9GMkPfFEp+qpeXF3FxcWzZsoXS0lLq6uro7+9nZGSEjz/+mKtXr0plmrCwMCIiIkhPT8fX11eq8ahUKoKCgjCbzdy7d4/bt2/T2tr6gNZoQEAA8fHxLF++nOeee44tW7ZIDzS4Xk5SCaUR2tXVxf79+/nss88kN1mobTz99NOyJLMrLsrOHv7MzExyc3Md5lNfXx9lZWVcvXpVXpIFjUCZnCd0XM1mM62trVy6dIn9+/dz+vRpKbWp0WikMk9CQgJ79uzh+eeflxJ9Yq+bdZ5XsbGIA6e/v5+TJ09SVFTkoEkpjEXnW/VUH5rC8yGM5d27d8vvULr+wc75/Pzzz6UeaGdnJxaLRaoLKCEOkaeffpqf//znLF26VD7nqprw3xSTTTaxqYlyqvBlGBNcZ9wpEwfALsR/5coVye0Unh1lO69fv861a9e4efMmN2/epLq6WvKtwH6zXr16NdnZ2W61eT4Kop0TExOUlpZy+vRp6dkICAggPz+f9fdFsgFZm1x4U52NDXc0DB4Hoq1ms1l6rhISEoiLi/tGIazpgvL3jomJIS8vj4qKCkpKSujo6GB0dBSz2UxGRgb9/f3cvn2bK1euOHh4lCVHbTYboaGhD1TTciUEh078FQedEsqMZzEXVSoVTU1NXLx4kfPnz9PV1QXY9yCz2exWUlkCwrAR43rv3j3++Mc/cvbsWVQqFTt37uTVV18lODgYtVrNsWPHeO+99/j888/lZ/T19aFSqfD392fDhg2ySAwwYxEP5cUuMTGRH/zgB8THx3PmzBnOnTuHyWSiqamJ3t5ebt++LUvHhoeHo1ar6e7upqurS+qDj4+P09HR8UB5XF9fXzZu3EhhYSHz5s0jKSmJrKwsOT/cwTHijImJCWkQlpeXc+TIEUpKSuS+kpaWxmuvvcbLL7/ssA5dRXkQChjC+6qEl5cX5eXl/K//9b+wWCx897vfZXR0lKKiInp6emT0eWxsDKPRSEVFBZWVlXR0dNDQ0OBQwVC5ly1YsIAf/vCHLF68WD72dfvvNsarslQZwKlTp3jrrbe4ceMG8GVYMiAggKysLLKzs+XNa7qqT4nNVCSibN26ldHRUcLDw7lz5w59fX1STqi8vHzSzxDt9vX1xdfXF5VKxbx58/jZz37Gvn37AKQ4urt4rR4XytCm4PeIsm8tLS1S2F8cJjqdzmV9VN5sh4eHuXbtGnfu3AHsG+DZs2eJiYmhra1NSmEVFRVx5swZadyJ5BGtVktoaCjLli1j165dzJ8/X36Pu46hko4zMDDAhQsX+PTTT6mrqwPsh8T69et5/vnnmTdvHoC8WT9sU3mYB9adITzwXl5eDA0NUV9fT1tbG1qtlvT0dJKSkhxkfVw9nsrf3t/fn4KCAjo7OwGoq6ujqqqKf/qnf0Kn02E2m+nu7sZms6HT6WQFsbGxMUZHR/Hy8iIzM5OkpCQHzvJMZTc/DMo5prxcCa+a0OQVUCYCdnd3c/LkSU6ePEl9fT1gv4SFhYVJ54bSY+tqiP6ZTCYaGho4ceIEJ06c4Ny5c4DdERIREcGWLVu4desW/+N//A9OnToFfElVMxqNjI2NsXLlSr7//e+zYMEC+fkzJbEo1oUw0pYvX05ycjIxMTEEBQVRXl5Oe3s7AwMDDzhwHgaNRkN0dDQ6nY6xsTE0Gg0rVqxg3759FBYWEhcXJ18raBfuJCkpLmBirl67do1Dhw5x+/Zt6S3PyMhgz549fPe735UOEyGR6ar5qVz74eHhpKamUllZiVqtRqfT0dfXx+XLl9HpdFKn9sSJE3R0dKDT6aQXtqenh/LycocLiDKZT6vVEhERQUpKCi+88AJLliwB7GtB0ES/DtzGeBXGhdiUiouL5W3T19dXhugzMzPJy8uTmYxiEk8HnA/uuLg4vvvd77Jp0ybpSm9vb2dwcJDKykru3bsns9LhS0NcVGNasGAB69atY82aNQ4bjjsUInhSKD1vnZ2dlJWV0draip+fnwwrgHsYOX19fVy/fl16asrLy/mLv/gLWf50ZGQEs9ksMyHBPkYLFy4kLy9P0j2ysrJITU11yBZ2Ny+AgHKDqqur4/e//z2HDx+WsiWJiYns2rWLF154QWZ1q1Qqt+3PN4WSG9fb20tFRQVtbW1oNBoiIyMd+Oeu5u2Co2EZFBREQUEBkZGRLFmyRHLKlIl2YJd0W7x4MQkJCXR0dFBSUoJarWbVqlW88sorbNiwwUFw3B0LM8DDw/3KPb+/v5979+45ROdCQ0NJSkqSHFp3yEAXXFTn8622ttYhiffu3bu89957Us1GOG/A3m+lHN+8efPYtWuXNBCcCyHMBJQXvaioKPbt28fKlSspLS3l+PHjFBcXMzw8LL2r3d3djI6OEhwcTFhYmFQ2UavVpKenk5OTQ1hYGH5+fkRHRzN//nxyc3MfUGRw9aVyMigTQUdHRzl06BDvv/++jIJ4eXnx9NNP8/3vf18aroKT70oovz80NJRnnnmGkZERbt265TA3L126xN27d/Hy8mJwcFAqtIC97xaL5YFqcMoIdWRkJHv27OGll15yUIr6pvKgbmO8jo2NYTKZZFal8kfw8fHBZrORmJjI1q1bZUgTZmYSC9kkUYEpLCxMarh2d3djsVhoa2ujra1NegWE12BsbAyLxUJgYCDZ2dmsWrVKFiZQVt2YzXAuFmG1WhkdHWViYkIeJEIwXNyoXQlRgUdAVBpSQoS50tLSmDdvHvPnzycnJ4eUlBRSU1Mf0A51x4QBJZQGQE9PDxUVFbIEYEZGBtu2bWPt2rUOt1937s83hdKIFxcUoV8skojAPS5ZAqItPj4++Pv7ywSm3NxcFixYQFlZmQwlBwYGEhcXR1paGuHh4fT09FBWVobVamXlypVs2LDBIXPdnfqphFD7+CqIw1/sqd7e3ixcuFCGP91FRcLZ8xsWFkZoaCgDAwP09vYSEBDA0NAQVquVs2fPYjKZ5MVSSPgJ2Siwe+EXLVrkUGDFFd5z0SdxoQgODiY4OJiUlBRiYmJYtmwZFosFf39/JiYmMBqNDtKEExP2kttCVSEuLo7AwED8/PwICwtzmKtKD507XapF2FycgT09PRw6dIjjx4/LS1VoaKiMbAn7ZXR0VKqFuBKi3WNjY4SHh/PCCy/Q2trK2bNnAaQTQ1k2/GEQ4xMYGIiXlxdGoxF/f3+SkpJYsWIFzzzzDKtXr5bf53wh+zpwG6vJmeekXIgi7LBgwQJ27txJYmKifG4mDKGHadItWLDgKzOTlY85C4C72oibSij7GRgYKA3WgIAAh1rsSgkyVyEkJITly5dz7do17t275/CcSqVi/fr1pKamMjY2RlpaGuvXr2f+/PmEhoY6JC8p4eoN6GEQRqvYoNra2qiurnbgA65Zs4aXX37ZIUHG1WM0ExClnpXeTXetCOeMoKAglixZQl5engxXKtUUhLE0MTEh6UmTFSBwV+P1UVCOjclkYmhoCF9fXzIyMoiKiiIvL8/B6HGHtSl+Z2GwLFiwgKCgII4dO0ZDQwNgN0hFmWYlBgYG0Gg0cs2Ghoayd+9eh3wJV0fvnL2HOp2OtWvXsmrVKgePsyh/q9FoZDKooCc5Z787w12VI5SwWCx8/PHH/PM//zN3796Vjy9cuBC9Xs/atWsBpNybu0AoAKhUKiIjI1m8eDGxsbG0tbUBXy3B5u/vL6PhISEhZGZmotFo6OjoICQkhIKCAhYtWkRmZqakmjxpZM8tjFcxmTUaDSaTiQ8//JBLly4BjrI2KSkpLF26VL5OWTZuJtsqvLDfNKzoqhDPdMJZhzcuLg4/Pz+MRqPk6Dm/biahTCzz8/Pj2WefJSkpiba2NmnECA9BRkYGoaGhWCwW6UUQi0yZ7SwMBnceR6VR093dzaFDh3j33XdpamoiOjqap556imeffZYlS5Y40AXc4cCfbghjTnAJo6KiZAKFO4SaJ4MwVMWFWsiePQrOzyv5z7MNSi4s2GkDtbW1mEwmcnNziYmJITw8/IH16i4QZ51QkFBWFFPOPZEfYbFYGBgYkJHIFStW8MILL7Bu3TrS09PlWLqLJ1KUbBWGifMaUlaDE3hY25UVutxxLcKXnF+1Wo3RaOTgwYMPaGbHx8ezZs0aFi1a5HAJcac+OXNON2zYwH/7b/+Nd999l+rqasLCwujp6aGpqYmkpCTWr1/PyMgIDQ0NeHt7ExoaSlRUFJmZmcybN4+oqCjGx8cZGRkhICCAhIQEwsLCUKvVDxSM+aZwi19PadUfPXqUf/iHf+DmzZt4e3vj7+8veRcBAQEOtxVXeEfUarXDLVN44h4nbCMOHHcimU8VlJNQo9EQEhKCTqejt7eXxsZGqWPoKn6P0qPm5eVFdnY22dnZj/Ve5YEpDn132ngeBqWHuLW1VWYuFxUVAZCUlMQzzzzDqlWr5Lr6NnhcBaxWK1arlYCAABITEx08z0oDyZ2gPOiF12oyz6uYp8qwudLgnc1wpn6YTCaCgoLkmg4LC3PbZEJR7QzshndeXp5MCO3s7JRjJZJevLy88PX1xWQykZaWxp/92Z/x/e9/323XqdKhpNR9ftQYKBPqlJeNySKe7gZhvAKUlpbyzjvvSMcb2KUH9+7dy6ZNm+SYuevZIZKtBX3gBz/4AWFhYZw6dYq4uDiampo4deoUK1as4PXXX2d4eJiKigpJsQsLC6OwsFBSeKYbLv0VleXTTCYTly9f5sMPP5R1fwUJGOxGo7txtZQEbeW/J4Pg07mbJ2CqoOyToIDodDqpCzeb++zMm5stXislx/XgwYO88cYbDoLfPj4+REdHy3CPu/N2pwLKNTo+Po5Op5NJIaLEJLhHqPmroDQOlDqoSt7uZHN3NsOZCxseHs7atWtZsGABr732GuHh4Q94zd2pzyL0bbPZiIiI4G//9m9ZuXIlv/rVr6ioqHjg9Wq1mo0bN5KSkkJOTg4bN250W8PVGUrP6Vc5dpTqHu6kDvEwiDYK0f3m5maKioqorKyUJZrDw8NZtWoVu3fvZsWKFdKT7s7j53xh2LBhAzk5Oeh0OkZHR3nxxRelIsHY2BgLFy6U71Gr1Q7FBqYbLjVelRWlhBXf2NiITqeTeqFWq5WEhAR27tzJ+vXr5XvdIRNYOciz3ZvxpFBW6BkdHaWlpYX6+nqsViuRkZEyW1RoyrkKSpFtoR2p3FiFV1VsosJT5U4H4FdBKSXU09PDZ599xkcffSRDWUFBQcTFxbF+/XoSEhJmVd+eFMp1GhQUxPLly0lLS3NIKgT3Ej1/GGaDZ2o6oByb7OxsfvSjH5GTk0NWVpYLW/X1IKQDU1JS0Ov1AHzxxReYzWZUKhXDw8OMj48zf/58tm7dyvz58wkPD5eFecT56M7j/ziUltkKZYKWKL184MAByRHVarUUFhby/PPPs2zZMhnZcmcuvTjvNBqNQ1QqMzNTvkb5b+CB8r82m03SIpW5BNNBRXOp8ao0Pn18fPDz85MkbiHmHBYWxs6dO/n3//7fk5qa+kBmnwfuAeckCqFFGBwc7ODRcpdwrFikk20m7n7r/yoohbvv3r3Lr3/9a86dOyelwEJDQ/ne977Hd77zHYfkx9nc58eF8jCNjo5m06ZNskSpck+Zq4fuXIBynITyhzt7syaDMvlIo9Hwox/9iO985zvSoyc86RqNRp6LSurTbIn+zFUo6RBWq5W7d+9SXV0NIPVp9+7dy9NPP+12EeOHQdm2b2psKrmzSuN1OvrtVuSLsbExhoeHJd/HYrGwZMkSdu3aRWpqKuB6QW0PJodyogcEBPDUU0/xb//tvyUgIECK3oP7eLRmu4H6KCgvCN3d3Vy4cAFAlulLTk5m/fr1DmX5vm2HociAdqeMXw++HpSVtsDuzRTKGu4+lwW9Y2RkREoLKastTYbpNAQ8+HpQ7pcajYZFixaxY8cOBgYGyMjIYM2aNQ78T2U0bDZA0HNsNhtjY2PS7hKRU+H4UVKSxHtmim/uVsarWq0mKipK8itiY2PZuXMnS5cudZAomm237G8DlMZrcHAwGzduZOPGjfIxcUudi8lq7gblWISEhJCXl8fNmzdRq9UsWbLkgZKS38bLoHJTnW2lbT2ww3nMZtve4u3tLcOuD0v4VV6yPXPUfaCkvul0OrZu3Up2djbDw8OkpqaSnJwM4HZqEF8XzvaW8t+upq241HhVDqifnx8rVqwgMjKSXbt2YTQaiYmJYeXKlURGRjI2NobNZpt1G5QHdoibp2cDnn4ovdsZGRn8p//0n6ivr8fX15fY2FhSU1Md+J2zdWN9UggVCSW32YPZBTGGs31vEVneStoAIIvYzPb+zTU4JyhHRkYSHh6OxWKZFXq0cwFf23gV5PKZwL1797h48eKMfR/MbP9chbnex7neP/jmfbx169YUt2T6MNfHca73D+Z+H+d6/8DTx7mAudg/901V9MADDzzwwAMPPPDAAyd4fRv5bh544IEHHnjggQcezE54PK8eeOCBBx544IEHHswaeIxXDzzwwAMPPPDAAw9mDTzGqwceeOCBBx544IEHswYuk8rS6/WvAb/7ipfZDAbDrNav0ev1O4H/E8gFwoE24DrwDwaD4ZIr2/ak0Ov1XsDrwE+A+YAPUIV9XP/FYDC4RzmtJ4Ber/87YBmQBUQAo0ADcBD4Z4PB0OO61j05vi3r0Bl6vf5V4J37//tjg8HwG1e2Z6qg1+vXAH8BFAJhQC9QBvyjwWA46sKmTTnm2hjO9b1GQK/XJwD/L7CNL8/Eg8B/MRgMfS5s2hPh27SXusMYutLzWgL8l4f8d+r+az5zScumCPc3o8NAPnAM+AVwA9gNFOn1+ldc2LypwNvAb4FU4E/ArwEN9n7+6b5xO9vxbwB/4AT2fv0BGAP+M1Cq1+sTH/7WWYES5vg6dMb9MftfwJCr2zKV0Ov1/wE4B6zFvt/8PfApEAqsd13Lph5zdAzn+l6DXq9Px+68eR0oBv4ncA+7g+eSXq8Pd2HznhQlfAv2UncZQ5d5Xg0GQwn2wX4Aer1eeCR/NVPtmWro9foY4K+BDmCRwWDoVDy3Aftk/n+Bd13TwieDXq/fA7wK1AEFBoOh+/7jauAD4DngB8BbLmriVCHIYDCYnB/U6/X/Ffi/gf8LmLUienN9HTrj/oXqd0AP8DH2NTrrodfrXwD+P+AksM9gMAw6Pe8edZmnAHN1DJnje819GIAo4F8bDIb/JR7U6/X/gN14/6/Az1zUtifCt2gvdYsxdDvOq16vXwCsBFqAIy5uzpMgGfvve0VpuAIYDIbTwCAQOdkbZwn23f/798JwBTAYDFbgP97/3/9jxls1xZjsMLmPD+7/zZyptswk5tA6dMa/Bp7G7jUYdnFbpgR6vVZM9MkAAQAASURBVN4b+DtgBPius+EKcl3OFcy5MYS5v9fo9fo0YAtQD/yL09P/CftYvqrX6/1nuGnTirm0l7rTGLqd8Qr89P7f385yzmQNYAEK9Hp9hPIJvV6/FgjE7iWZrYi5//feJM+Jx/L1en3IzDRnxvHs/b+lLm3F9GGurEMJvV4/D/hb4BcGg+Gcq9szhSjETt05CvTp9fqder3+3+v1+v9Tr9c/5eK2TSnm8Bg+CnNlr3n6/t/PDQaDTfnE/QtXEeCH3dCbS5hLe6nbjKHLaAOTQa/X64BXABswq8n3BoOhV6/X/3vgH4A7er3+IPYwVzqwCzuv6acP/wS3h/C2pk7yXJri3znA5elvzvRCr9f/NRAABGNPqliN/TD5W1e2azowl9ahgF6vVwG/Bxqxh2DnEpbf/9uBnVO/UPmkXq8/BzxvMBi6ZrphU4k5PoYSc3ivyb7/t/ohz9dg9+plAV/MSIumGXNwL3WbMXQ3z+uLQAjwmcFgaHJxW54YBoPhH7GH11XAj4G/AV4AmoC3nOkEswyH7//9S71eHyYevH/A/BfF60JntFXTh7/GHhb5C+yHyTFgy2w3CB6CObUO7+P/BywBXjMYDKOubswUI+r+358BOmAT9sjOAuA49gSu/a5p2pRiLo+hEnN1rwm+/7f/Ic+Lx0Omvykzhrm2l7rNGLqb8fqT+3/fcGkrpgh6vf7fAR9iT1pKx55JuhR7WP0Per3+v7uudU+M97FnTqZj9yz/Sq/X/yN2wvoO7DcwgNkeJgHAYDDEGAwGL+x0iX3Yvcs39Xp9vmtbNi2Ya+uwALun7u9nuzzdQyCkd7ywe1i/MBgMQwaD4TawF2gG1s1mCsG3YAwlvmV7jRJCnWYu1ayfU3vpY2DGxtBtjFe9Xp+LnbvVjJ27Nauh1+vXY0+iOGQwGP7SYDDcMxgMIwaD4Qb2A6UF+Kv7BOhZh/t8l13YvQTt2JUHfoh9/FZjp0gAzGbv8gMwGAwdBoPhAPbQSDhf6kzOCczBdShCzdV8mUg41yB0Fe8ZDIZbyifueyiP3//fghlt1RThWzKGD2AO7jXCKxf8kOeDnF43qzHX9tL7cJsxdCfO61wiNQM8c//vaecnDAbDiF6vL8ZuxC5h8qQnt4fBYBjDriX598rH7/N8FmMX2b498y2bfhgMhga9Xn8HWKzX6yOUiguzHHNtHQZg518BmPT6SZWGfq3X63+NPQnoL2aqYVOIqvt/jQ95Xhi3uulvyrTg2zCGD8Uc2mvEPM16yPNCTeFhfMrZhrm2l4IbjaFbGK96vd4Xu+fOhl30fi5Ae//vw+SwxOOWGWjLTONVwBd4e45J9Dgj7v7fObExzdF1aObhfcnHfnm8gH1Tnq3h6HPYxewz9Xq9xmAwOO8pC+7/rZ/RVk0dvg1j+FWYC3uNcORs0ev13spsdb1eHwiswu7wmAsJvnNxLwU3GkO3MF6xJzGFAofnCKkZ4Dzwr4Cf6PX6NwwGQ4t4Qq/Xb8c+yCbgoova98TQ6/VBBoNhwOmx5dizYoewF2GYtdDr9TmA0WAwtDs97o1dED4KuDibSxo6Yc6tw/th8z+b7Dm9Xv+fsRs+b8/m0qIGg6Fbr9f/Cfge9qSm/yCe0+v1m4Gt2MN4x1zTwifDt2EMvw17jcFguKvX6z/HToP4OfYKaQL/BXtOyBsGg2EuaPfOub0U3GsM3cV4FaTmuVB9QuBD7Dqum4AKvV5/ADs3dB52SoEX8DezvF71Cb1ePwqUYy+6MB97spYZe5WfWUmHUGAb8D/uSw3dxc7jjQbWYU+iaMeuIjFXMBfX4bcFfwmsAP6f+zrSxdgLpezF7q37scFgMLqueR58Bb4te40eu8Pmn/R6/UagAvu83YA91Pz/uLBtU4m5vJe6xRi6PGHrvuj0auYWqVkkNO3AXi7tDvZD5K+wi/ceBbYaDIZfuK6FU4IPsUvyvIL98FyIXctuvsFgOP6oN84SnMS++YRjz/r9t9jL3vZiv2XONxgMd1zXvKnDXF2H3xbcl91bgb3OeCJfVqE6AqwxGAxzQSprLuNbsdcYDIa72LVr38I+X/8Ku2LNPwFPzXJnDjD391J3GUOviYm5pErhgQceeOCBBx544MFchss9rx544IEHHnjggQceePC48BivHnjggQceeOCBBx7MGniMVw888MADDzzwwAMPZg08xqsHHnjggQceeOCBB7MGHuPVAw888MADDzzwwINZA4/x6oEHHnjggQceeODBrMFjFynQ6/WzXlPLYDB4Pey5ud4/mPt9nAv9g7nfR888ndv9g7nfx7nQP5j7ffTM07nbP4/n1QMPPPDAAw888MCDWYOvXR7WYDBMRzumFXq9/rFfO9f7B3O/j7OxfzD3++iZp46Y6/2Dud/H2dg/cN8+TkxM4OX1SGfpY8Hd56koDvUkfXXXMZwqfFX/vrbx+nUxMTHB+Pg4VqsVm83GZBW9nB/z8vLCy8sLHx8fvL29UalUeHt7nMQeeDCdsFqtjI2NMTExIf/z8fFBo9Hg4+Pj6uZ54IEHcwjCLvDy8kKr1QIPGnNTZczOFIS9Y7PZHOwdYceIfdS5TxaLBR8fH88++zUwrcarmHgqlQqV6sm+ymazAXiMWDfFxMSEHCNx+ZhNm863GWKdqtVq1Gq1q5vjgQcezGEIg05prNlsNkwmE1arFW9vbzQaDVqt1u3PEHHJhy/PvUfZOlarFYvFgtVqZWJiAo1Gg5+fHxqNZqaaPGcwbcarGNSpmnzj4+OAx3h1V4yNjckF6ePjMyUXFg9mBjabDW9v769cq7PNC+KBBx64J2w2m4OXsa6ujmvXrlFfX49WqyU/P5+CggJ8fX0B+/nvjl5J4WkV596j2tjX10d1dTVlZWU0NDQwMTFBZmYmGzZsICkpCbD308vLy2PnPAamzboQtxCz2UxPTw/t7e0YjUY5OIIWAHaXuc1mk251Ly8vdDod/v7+BAYGEhERgb+/v/zs2XaI2mw2OcEfRZvw9vaetaEDj9du9kHpAZmYmKCtrY2enh7MZjOjo6NYrVZCQkJISEggPDxcbqizbf19myEiIiKUKfZdsc964MFMQ5z/AwMDdHR0UFVVxdWrV7lx4wZVVVV4e3vz/PPPM2/ePHx9faWB6E7nojjLvb29HQzN4eFhhoaG6Onpobm5GaPRiEqlYnx8nI6ODmpqaigvL6eurg6r1UpaWhptbW1s376drKwsdDqdC3s1uzBtxqvNZqOnp4fa2lqKi4s5efIkt27dwmQyOfA+vL29sVgsTExMoFKp5MGYkJBAWloaaWlprFu3jo0bN0rjaLYdnqKfj2O8zqZ+eTC7Ieaa1WqlpqaG48ePc/nyZdra2mhpaWFkZISlS5fy8ssvs2PHDsLCwgC7d8DjVZ8dEIaCOGDFvz37jAczCeczu62tjQsXLnDy5EmuXbtGe3s74+PjdHV1AXDt2jX6+/uJjIyU73c3OK+hrq4uSktLpXf10qVL3Lt3T1IgrFYrZrOZsbExLBYLY2NjdHR00NDQQH19PT/96U9ZsmQJYHfoeagEj8aUnkDK21FTUxPHjh3jwoULVFVVUVpaitlsfuh7fX19MZlM8v/b29u5du0aMTExVFZW0tLSwqpVq4iPj0er1c6KJC7h6VB6mR8X7m6gK/s2PDzMzZs3uX79OoODg6SkpLB48WLS0tLw8/NzdVNnBDabDYvFwvj4uORsuZOnQImJiQnGxsZQq9WMj49z6dIlPv74Yy5evEhVVRUDAwPytUeOHEGr1ZKens5TTz0l3z+bILyOYD9wnCMdcxWCDuLsHZorEB5lMb4Pm5fCQyaoTO7wWwhvotgvHhW1mpiYwGw2Y7PZ0Gg0s/LiqOSFtra28tFHH/Hee+9x+/ZtBgcHAQgKCpKv7+zslPbAw5w+roCzSkBzczM1NTV0dnZSU1NDWVkZLS0tdHR0UFtb+5WfZ7VaaWho4NKlS7zwwgvy8bGxMZcbrzabTSbwKpPN3AVTugqUE+zOnTv87ne/48qVK4DdOBXeRxGympiYIC0tjY0bNxIXF0dlZSU1NTVYLBZMJhNGo5G+vj4OHTrEnTt32LNnD88//zwLFy6cFSFM0UaReSg2WGWblf8vDtPZ4BlR8iS7u7t5//33+Zd/+RcAcnJy+NGPfsTzzz9PSkqKfP1cTuLy9vaW/Cx3hjI5a2xsjJs3b/LLX/6SgwcPEh4ezrx582hpaaGvr08mF1y5coXz58+TkpJCbGzsrIuAzFYqzpNC7D9KA08klMyG3+NhBouYc8Ion410pa+TyOzl5TUr9pbJoLwoArS0tPDpp5/ym9/8hrKyMgA0Gg0WiwWLxSLfFxoa6qBA4C77jGiHyWSitraWU6dOUVRURENDA83NzbS0tDzwWnGmK20Wi8WCVquVigsmk4nh4eGZ79AjIJww7oppucKNj4/T09NDXV2dfExwV4TbPDQ0lC1btrB3716WLVuGVqulr6+P/v5+bDYbRqOR6upqLl68yJkzZ6iuruaTTz4hLCyMuLg44uPjAeQkcCco+TCDg4OUl5dz+/Zt2tvb6ejowGg0olar8fPzY2RkBKPRiI+PD+np6axatYqVK1fKcIkwEt0Z/f393Lt3T/5/e3s7FRUVdHZ2Ohivs+HA/CaYTSEeq9Uq21pdXc0vf/lL3n//fQDWrFnDjh075HNXr17l/PnzdHR0cOHCBXJzc9m8ebNcb+42poLfqeSYf5UHfHx8nLGxMQcu6FzBxMQEnZ2dchzr6+uJi4tj/fr1PPXUU0RFRcnXwZNpTk4VxBiOjY0xNjYG4HDRF5d8tVr9RGPljhcvs9ksnTrK9jmfb7PhTBAQhpqvry+jo6McP36cf/qnf6KiogKw2wUiKmIymfD39yciIoLly5cTGBgoP8cd+qvc5ysqKvjtb3/L+fPn6enpkVxXJSYmJoiOjiYyMpLMzExycnLw8/Ojt7eX+vp66urqqK2txWq1MjAwQF1dHQMDAwQFBbnleSIuF97e3nKfhQf3DeUcBqYteXtKP1F0wsvLi5iYGJYvX86pU6cYHx9nZGREGq3R0dHk5eXx0ksv8cwzz8ibc0JCgsPn9fT0kJeXR0xMDIcOHaK6upqDBw8SGxvLrl27CAkJcSvDVWm0enl50dnZSVFREcePH+f69eu0t7fT2toqB90ZOp2O3t5ekpKSpPEqwkruBuVteGxszKGNERERjI6OMjIyIh9zh7CP0vOthNLT/bCxedjnqdVqNBoNZrOZlpYWhoaGCAwMJCoqSiYZusNBKdogNsX6+nreffddPvzwQwICAnj55Zd5+eWXWbZsGYGBgdy9e5fg4GCam5u5ffs2bW1tdHd3S9UPYWS42thTHvRKA1TpjRPJZ+I1Yh5otVp8fX0d+iD6NRszfgUdRKVS4eXlRWNjIydOnODw4cN8/vnnjI6OAvaD18fHhx07dsiDyJXeLTGnREROjOFX7e2jo6MMDg4yPDzM6OiovIQoIeaHWq0mJCSE0NBQdDqdy9ej1WplcHCQkZERfH19CQ8Pf2h/x8fHJQc9JiaGkJAQwP2NWHEWCq/xnTt3+PTTT6XhGhwcTH9/PwAhISHk5OSQlZVFRkYGhYWFkkbgLmtReW4MDw/T0NBAeXm5w5mh0+kICAggNDSU2NhY4uLiSE5OJi8vjyVLlhASEkJPTw9Xr17ls88+o6amBgCj0SgN2vnz50tjz5Vnh9lspre3l/HxccLCwp6YAjjVfZkW49Xb25tFixbxyiuvEBUVxY0bN+ju7iY2Npa1a9eyfv165s2bR3x8/CNDPuHh4WzatImQkBAmJib46KOPuH79Om+99RZqtZq9e/fKhWG1Wt0ifCQmuMVi4dy5c7z55ptcvXqVgYEBKSX1MIyOjlJRUUFDQwN5eXkz1eRvBHHYjY+PMzw8jNVqlc8JY9bVB4QzhGEiFpHS4yQoLeJ1yvcIKN8DjnPuxo0b/OIXv+D69essX76cn/70p6xbtw5A8ktdCdFWLy8vhoaGOHz4MO+//z5ms5kf/vCH/M3f/A1JSUnSyMvIyGDr1q1cvHiR6upqQkNDiYmJkZuqu4TylBfmydDY2MjNmzfp7OxErVajUqkYHR1lfHychIQEFi9eTHx8vMPnuMNl45tAaZx3d3fz6aef8tvf/pbS0lKHA/b48eMsW7aMbdu24e3tLS/IrjIQlAUxHhc9PT3cunWLa9euUVpayt27d+nv73fYd0TfzGYzERERrF+/nj179lBQUODgHZqJfjvrlNfV1XH69GkqKytJTU1l+/btZGZmTvre6upq/uf//J/cvXuXn/zkJ7z00kuAe/AiHwXlvtfa2sqRI0coKSkB7FQBwWmNiYnh+eefZ/v27WRnZxMUFIROp3OgSrj6kgw47OFZWVns27ePrq4uSY0EyM7O5umnn2bVqlXExMQQGBhIaGgoQUFBBAQE4O3tTXBwMG1tbfj7+8t+TUxMMDIywvDwsENC7EzuRcrvGh0dpaSkhKNHjzI4OMi2bdtYvXq1VJAKDAx0+Zk2LcYrQFRUFBs3biQmJob8/HyMRiOxsbEsW7bMwTATMlkieUQYFzabDZ1Oh7e3N8uWLcNsNmM2m/n4448pKioiJiaG7Oxs8vPzp7IL3xjiFuzj40Nvby+nT5/mD3/4A2fOnJEej4dNQl9fXzQaDSMjIzQ0NFBcXExOTg7p6eluxy903vCbm5u5ceMG7e3t8jUmk+kbJalNNx4VFha/79dps+CNXrhwgT/84Q8cPHgQs9lMY2MjhYWFrF69Gh8fn6/lzZ0JiGSR8PBw4uPj2bhxo9QZFF6s2NhYMjIyCA8PR6PRkJKSQkZGhsNh6UpviHI9CENkZGREytS0t7dL7cjr16/T1dUlw81ms5mJiQmSkpJYvHix9Pbk5OSQkpIiD47ZVBjFbDbLRFaTycSRI0f4/e9/L42FiIgIkpKSKCsrw2q10t3dLfsp5AtnGmLPFO2wWq1yDOvq6mhtbZX8bGXVt5GREZqamigvL6esrIyamppHJgMD1NbW0tnZSXx8PIsWLUKn08mzZqaMV+V3Xbp0iTfeeIO6ujrmzZtHW1sb8+bNIzg4GD8/P7RaLSMjIwwMDHDhwgXeffddRkdHSU9PJz8/n8zMTLkW3dUD6+XlhdVqpa+vj8OHD3Pw4EG6u7vRarVyvNasWcPu3btZt24dixcvdutkNKViUFRUFLt378bLy4vExESMRqO8DK9du5ZFixY9cJYonSP9/f309fXJqMOjEg5nCsrLRn19PR988AEffvghY2NjtLa2UlpaikajwWq1EhoaSlJSEjqdjv7+fnx9fQkNDWVwcJDBwUECAwOlRFhCQgLp6ekPOIyeFNNmvAJERkaydu1aVq9e/VDjQHkYOj9ns9mkx2j16tX09fVRW1vL+fPnuXnzJqdPnyY8PJzk5GSXG3nKW3BpaSm//vWvOXXqlKwY4jw5hcE6ODiIyWSSB6pQWVi4cCExMTEydOIu8kTC8BGbZUNDA1euXHEwXt0pO1TAZrNhNpulRAkg56MIHztDHKZjY2My4dBisTAyMoJGo0Gn03Hjxg3+6Z/+iRMnTkhOkFarZWxsTIbV3eHSIULJYJ97a9euRavVMjg4SHR0tHydmJcAAwMDjIyMoFarCQwMlGEjZZjeHSA21+rqaiorK7l9+za3bt2iqqqK3t7eh75PZPkGBASwcOFCdu/ezbPPPktWVhbwJbdrNkC53srLy3nzzTcpLi4G7HQsYaBbrVbKysokJ9iV46hss8lk4tatW7S1tdHa2srnn3/O+fPn8fb2JiAgQHKTfXx8GB8fx2QyMTIy8pVGK9jn/tjYmLxob9q0iZycnBkdX7FvinOqvLycmzdvOvw7ODiYxMREyXk0m820tbVRX1+PyWRCo9Fw69YtvvjiC+Li4vD3939gP3YHCOqKSqVieHiYkydP8v7771NeXu6g/JGamspf//Vfs2vXLgCH6J27QrlewsLC2LdvH+vWrZPeyPDw8EnPEuUFw9vbW+rYKyXsXA3l/Gxvb+fWrVuS5njgwAE++eQTGc0IDw8nOzsbPz8/2tvb0Wq1REVF0dfX53CmWK1WduzYwauvvkpUVNSU2mfTYg05C/g6Lyyr1Sp/qK/ydClvA6mpqeTm5srQ+rlz55g3bx6JiYkOBqIrPH7iOwcHB7l16xZXr151MFwBkpKSyM7OJiMjg+joaMxmM1VVVZSXl0vui9VqpbOzk9bWVofsS3cyBpVtsVgsDA8PP9BWd7hJKqXbjEYjly9f5urVq7S3t+Pj4yMvRk8//TTbt29neHiYO3fuyHBWe3s7lZWVDA4OEhcXh06no62tja6uLilZI+bh0NAQXl5e+Pv7s2DBAlJTU10eVlFCuQbVajXz588nLi5OcnRHR0ex2WySA2qz2Th79iz37t2Th2R/fz8xMTFuofQhbvFCS/rmzZsUFRVx9epV6uvr5XycP38+q1evJiYmxqEYysjICO3t7ZSUlFBRUcH58+fp7e2loaGBgoICVq1aRWpqqltwQh8FMQZarZaBgQFu377N73//ey5evAjYQ7LPPfccmzZtQqVSMTg4SFVVFXfv3uXChQusWrVqxstwKh0ZIyMj3LhxgzNnzlBeXk5vby89PT1UVVXJ7Ovu7u5Hfp5KpUKn08l5K8ZLXB61Wi1GoxGLxUJFRQUlJSVER0cTGhoqC3RMd//Fniig3C8FX9dkMtHR0YFOp5MXyOHhYcbGxqR4fWlpKefOnWP9+vXk5ORMa5u/KcQlQ4yxSFgWxqlGoyE/P59XX32VjRs3yvcpL1QiQ9/dERQU5CDxJSCcF8rokLe3N2NjY2i1WtauXUtzczMnT55kcHBQ9tmVl2Wl3RQaGkpOTg41NTU0NzdLh49Ae3u75JgLbV5nCC+tSEbfsGEDwcHBwNScHdNivCo3emeeoUimeJyDXdxQBPz9/UlPTyciIoLu7m7q6uro7Ox0cMfPdBKJMJB8fHwwm80UFxdz5coV6REQkzEsLEyGSNavX09kZCR9fX18+OGHMvvQYrHg5eVFX18f7e3tbmu8KiedRqPB39/fwYMuFqqrD3vlXOjv7+fChQu89dZbtLW1ObyuurqaoaEhent7KSoqkkkETU1NVFZWAnaPZEBAwKQHqdKYS0xMZPv27SxatOiB590JGo2G6OhoB6+rQF9fH6dOneK9996jvr6emJgYYmJiHlizrhhf4WUSfOsbN25w8OBBrl69yr179xgaGiI8PJyUlBRycnLYtGkTmzdvfkDsfHBwkLa2NoqLi/nggw84ceIEt2/fprq6muLiYiYmJkhNTQW+lHlzNxoMfDkGRqORoqIi3n77bU6ePImvry8REREUFhaye/duNmzYANjF3w8ePMidO3e4dOkSGRkZxMbGAl96zKYbytDhvXv3+NOf/sQHH3xAZ2enw+uEB2uyg05JIxgfH5daoZNBeF7B3kfny/bDvmMq4Zx0pJxLQUFBqFQqSY0TFe6cIR6rq6ujvb2dnJwct7xUCW49wM2bN6mqqpJ7qpeXF7m5ufz85z/nxRdflB5mjUYzK+XAJnPSKKkwzrBYLKhUKvz9/UlOTn7g3HQllPMzKiqK7OxsvvjiC8Auf5mUlERXVxf9/f3ExcWRlpaG1Wrl9u3btLa2otPp0Ol0WCwWuru7pfpCTU0N58+fJysrSxqvU5EHMq07lVK6Rnhivwk/R3xOTEwM8+fPJzIyksrKSunZdCWUeqdms5mysjLu3LnjsDkGBQWRn5/Ppk2beOqpp+RBGhoaSldXlzRcxSYrVAmUnzFbwpfuCm9vb7RarUOZYYGSkhI6OzsZGRmhra3tAckTsIc1lUU0lBAh+YiICLZv386LL74oDR/xvDtjdHRUXhJNJhNvvPEGf/jDH2hqaiIgIID58+dTWFhIRkYGgENGuyvR2NjI8ePHee+99ySnfsuWLWzevJkFCxYQHh5ORESE3DDhywNCeEzi4uIIDAxEp9Nx7NgxBgcHuXr1Kjdv3mT9+vUkJia6pYEgMDExQUdHBxcvXuS9997jyJEjTExMsGHDBjZu3Eh+fj6LFy+Wrw8LC0OtVjMwMEBfX59D2H2mLshiz+7r65MUD2fDVamMMVmBCWV7BY3gYVB6v9LT01m4cKGUCZspvqiSb3/nzh36+vrkc3FxcWzYsEHqLt+9e5fu7u4HkkMFlDJF7gThORX73Weffcbbb79NcXGxnGcJCQls3bqVFStWyPEVVAJ3vBw+CuLypByLr0r49PPzw2azUV9fT3FxsVTkUUaNXbXXKMdgaGiIu3fv0tjYiK+vL1u2bOG5557Dz88Pk8mEn5+fvGwMDQ3R3d2Nr68vycnJ1NbW8l//63/l/Pnz8rONRqPDGp2KvWZaT1Wl7MmTQGwwOp2OxMREedBqtdoHZE9meuCVB5uPjw+hoaGEhobKDVGj0eDt7U1QUBAZGRn4+/vT0NDAxMQEd+7c4ezZs9TX18v3ixBRYGCgw+/mzoenM8dVeWlxJZS/X3BwMGvWrCEgIID6+noGBgbw8/MjODiY3t5empqaMJvNJCQk0Nvby/DwMFqtVvI8hVKE8LAbjUbMZjP9/f1YLBYCAwN5+umn2bt3L9nZ2QAO+qHuBmXbRPJKd3c3hw4d4s0335Q0lsLCQnbs2MHSpUvle10RBXDOSK+trWX//v2cPHkSo9FIVFQUu3bt4pVXXmH16tUO7xXViQDpsVWpVGg0GgIDA9m4cSPj4+P09fVx8uRJbDYb7e3ttLW1ERsbK8tWuwuUdJjm5mY++eQTPvroI86dO4fNZmPVqlW8/vrrPPfcc3h7e2O1Wrl79y5VVVXcvHlTGgsdHR0OHsvp7qNzsufAwADNzc10dHTI1wQGBmKz2RgeHnao9PZVEBx0kT8ADypRBAQEkJqayvz58/Hy8pLVg6bbeFV+R19fHxUVFQ59DgkJYcuWLURFRZGbm0tNTQ1tbW0O4dr+/n6qq6sBu2fT1U6bySD2fGG8Xr16lQMHDsiIYnh4ONu2bWPv3r3Ex8dLI89Zgmkyp5e75A4o8XXsG6Uyjclk4syZM5w6dUo6SsTZLy4AroDSG1pXV8f58+cxmUykpKSwfPly1q5d+1ifExERQWhoqPz/yMhI0tPTHZwIUzF/3dsldB9KLUeLxfIATcCVB4ty4vr5+bFx40YaGhooKSmRSVhGo5G6ujoaGxux2Wxcv36dxsZGmpubuXXrlny/2WzG29ub+fPnk5+fT0BAwKTf404QxvtkG4urNxvlAgkODmbVqlUsXbpUZkRqNBrCwsIkz3h0dJTh4WE6OzsZHBxEpVKhVqulaLrguVZXV3P27FkqKysljSA7O1sW3ACkB8KdjB4B50SdiYkJbt26xR//+Ec++ugj6urqUKvV5Ofns2fPHjZv3uxA33EFl1eU3xXtKCoq4he/+AUdHR1ER0ezadMmdu7cSUFBwQPv1Wg0k4b2hOh4YGAgTz31FEVFRZw6dQqbzcbo6Cgmk+mhQtyuhGhLX18fJ06c4I033qC8vByAJUuW8Oyzz7J+/Xo5/2/fvs1nn33G559/TmlpKcPDwwQGBtLf3z/jWszK39HX11fKIgl8lZyggFqtJiAggNHRUTQaDUuXLiU0NJSrV6/S1NQkX6P8PKFcoNRTnYk+Kz1xonKk0uOt0WhITk5m4cKFzJs3D6PRiNFopKuri6CgIEZHR3nvvfek8eqOhtxkEGsW7AbMypUr2b59O8uXL5f8z8ku90qKhauTCqcKShtmbGyMpqYmmpqapNoAIAsXKc+tmey32NdFYRNReGjJkiWkp6c/1meYzWbOnDnjEEmJi4sjPz/fgaI2FfbMrDBexU2uv7+fmpoaeSMXmd9KzLSxoNRF0+l0JCQksGzZMkJCQjAajTLcU1dXx3vvvYdOp6Ouro6Ojg6Gh4fp6+tzMCLAnpgmqnEIuONNG5Cl7ZSEbhGid5dwuTKpRavVOtwABUQYEexjqaRsjI2NYbVaCQkJwdfXl4sXL3Lnzh2uXbsGQGZmJnv37qWwsFB6MYUHwt02XSVHG6CyslJWsTt37hwNDQ0ArFq1ih//+Mds2LCBoKAgTCaTy8sFKjf6pqYm6b2yWCyEhIQQEREh2yc8Gv7+/g89/MSlRKVSERwcTFhYGEFBQdK4MJlMDt/park60VZvb2+Gh4c5dOgQv/rVr6Thun79er7zne+wbNkyWltbuXLlCrW1tdy6dYuSkhIqKytl6C47O5uCggJJYYLpvyAr9zlBsykoKKC2thadTsfo6CiNjY309fURGRnJ/PnzAft6VCa0aLVakpOTmTdvHhMT9mITTz31FAMDA7S1tT1gvIrkzImJCendctXeJDi6zlEp0Z7AwEACAwNJTEx04CAL5QhwH9H+yaA8f/39/SUVTq1WExYWRmRkpEOGvXJOWK1WOb6TGbXunDj5VVC2u62tjaqqKtra2uT+olarSUtLIzs7W85bJXd4OuGsDnH69GmOHj3KwMAA+fn5PPPMM6SkpMhz0GKxSM1sMWYqlQqbzSajO0qVl+DgYJKTkwkICJhS+UH3sC4eAucErNbWVm7duiVlmQICAtwiiQQcByMpKYn169dz5MgRh3K3hw8fnvS9Wq1WyoJpNBri4+NJTk5Gq9XKjd5dNyu1Wo2vr6/DYSBkqdxF+kQ5Jya73DhrzwniuRLK0oAWi0V6RwIDA9m0aRNbtmwhPDwc+FIP0N1RXl7On/70J/bv309VVZXDGAYEBJCZmSmTecQ8dKUB5+xJFwgNDUWj0UijQMgrfVVbRTgSkJuy8IiJBBJ3ou4oE1+bmpo4cOCAFEjPy8tj+fLlpKWl0dfXx/Hjxzlx4gT19fUYjcYHwrOZmZns2bOHtLQ0eaDMlEEn1oaPjw95eXmMj4+Tn59PT08P586do7S0lKeeeopt27bJBFZxuAr97/T0dJYsWeIwJ+7cueNwHoj5Ki7WIpHG1XupswGm3C+UaglK41XpHDCbzTI65EwvczWU/RIqCmA/J5z3VGe6n/JirNR8F+vU1eP2TSDWq5iXPT09XL58mbKyMqmmARAfH09ubq7MyZjJokvOMnvvv/8+ly5dAmDjxo1s3ryZ2NhYufaco3DKcRSSiso5qax46PZSWVMFZ+O1v7+fhoYGWltb0Wq15OTkkJyc7KCf5iqepXKiJSUl8ed//uds3LiR8vJyzpw541CFYzII70BMTIyU/wK7oeROJXCdDWnR3uvXr8tQwfDwsMyIFVCGTVyF8fFxedMV7XBWwhAHi/IwER7H4eFhSktLOXr0KKWlpYB9zkVGRsoqcGL+CakUpYHkSijbYrFYKC4u5sCBA3z++efcvXsXwMELUFNTw/79+wkKCiI7O1v+JiKxcKb75OyJSU9P58UXX8Rms8nCJwkJCQ4b8ePMNbG/dHZ20tjYKDO6U1JSSE9PR6PRyIpxrj48xfwcHx+nvr5eep69vLzQ6XS0t7fzwQcf0NzczJ07d6QXXbxGzGGwJ26JBDzhnZyp/jkbb/PnzyclJQWTycTSpUvp6uoiPj6elJQU4Es6lTDyhO6waG9XVxdlZWUcOXJE5g8ADgoDANHR0URFRTlwYV2ZIyGg9MQKT5YwXgWUjoCenh6Ki4tJTU0lPz8fLy8vtyiooZxD9+7do7W1VT4XHx/PsmXLSElJkXvRw9oq+nf79m0GBgZITU3l6aefJjk5GZg5VYypgLPj5OrVqxw7dszht0lMTGTjxo0OSb4zsb86G9YtLS2cPXuWs2fPApCcnEx+fr60RSar6DaZCshMUTlnxwy4D1EPemxsjKysLFavXk1ubq6DR8hVi1fJ0QkKCqKgoICCggLq6urw9fVlZGSExsZGKZSv5NIJb4+vry/5+fnk5ubKz3U3D56zESEq1oSFhcnHhoeHqa6uprm52eUGqxLfJHlQOaesVislJSVcunSJlpYWwD5mIvNSeYFxpwsHOGZVi+SsO3fuyJAzfFlcwWq1UlVVxaFDh8jOziYxMVFWblJqGs7k2Hp5eTkcWNnZ2bz++uuEhISQlpZGSEjI1w6zKedDQ0MDVVVVgN2rm5WVRXx8POCelbZEtTCwj0N1dTW1tbUOUm6+vr7S2LVYLPT19eHr68vixYtZsWKF7M9McyiVoWIR9hfrJS4u7ivfr5zLd+/e5eDBgxw6dIjS0lL6+/vleaAU78/IyJCcaDHmrpDzU3qdBZR658pom7Ocl3DODA4OUlNTQ2trq6wwqdQUdQWUSWnK/V8gNzeXVatWkZCQAHxJXxJ9tVqtstBIeXk5V69e5fr167S2tpKXlydDz+K73AVKD7Hz7+/j44PJZGJiYkLSl+7du8fly5cdkhGXLVvGc889R1JSkgPFbaYhElujo6PRarVs3LhRFmyByZUUnLX1xRgajUbAPp+jo6Md9F2nCm5tvDrfUpWlx3Jzc8nPz5ehWhFyd7Wh5Pz9SUlJbNq0icHBQU6cOEFNTY3DAKrVarlJ5eTksH79eocN3J2E7pUQB4O/vz+xsbEPZIz29vZKyoTYpNwdImSnPMydDRaLxeLgBQkKCpKeV3eG8rDUarUsWbKEwsJCiouLJT9p4cKFUrdPlIS9ffs2/+2//TfCwsJYuXIlTz31lPycmZS3cb40JSUlERsb+9ia0c5Qtr2xsZFLly7JBIWlS5c6JCi4g2YxID3APj4+ZGZmOlwYH1ZJTKkE4uvry65du/jZz34mx1GZHe4KfJPf1Wq1ysO9sbGRL774guLiYsnnFR5aEXrNzc1l7969PPfcc1JpQClx6Goox0h4rpTeVGcIb5m7eh+FkSP2SVFKNCYmBviS9yv2WcGVfPPNNzlw4ABGo1EWljCbzdy6dYtz586RlZVFTk6Oy6tpOkNZXMEZyjG02Wx0dXXR19fnQGXJzs5mzZo10kEgKDLTDWX00dvbW9oq4uJUUFAgox8w+SVXeWaC/TJ5+fJlOjo68PLyIi0tjdTUVAed7VlHGxAhya972AmZjZ6eHqqrq2lqapK1dZVJNq6WZVJCeDp8fHzQaDRkZ2eTlZXFqVOn5AYrZF1EBvWyZcvYs2cPGzZscDiU3CHk/DCIiajRaCZtpytlP74OlF57kQXb39+P1WqVAtr+/v40NzfLaigajUaWmh0cHKSjo4ORkRFp7BqNRsbGxggJCSEsLMyliU7w5UYlQm7Jycns3bsXHx8fbt26RVhYGPn5+YyPj1NdXU1kZCTx8fEcO3aMjz/+mJCQEF588UVMJhMLFy4kICDApYen0mhVRjG+amMUHEgxX9va2jh69CjHjh3DZrOxYcMGXnnlFRYuXCjf446qEfHx8WzYsIGBgQEGBwcZGhqSXtXx8XFOnDghaTu+vr6kpqaybt06vve977Fu3Tr5OcIgdgWcQ6oigU4kVIn5JcZVWX5ZKGR8+umn3L59W3LSBa3F29sbk8mE1Wpl3rx5bN26lQULFsjvmyl9V2eIPUZ5ARYUI2dMFpIF+3x0jvS4OpFJGKETExP4+fmRlZUlnTBCX1tpdCpD0PX19Xz88cf88Y9/lFQYJa1gaGiIo0ePEhERwU9+8hN57guHlSsgjM+volCJPg8MDPDZZ59x7tw5LBYLvr6+Us3EbDbLue6sGzsTUM6r/Px8wsLCGBsbIzo62iHS9rD1otwb+/r6aGtrkxGVydQ9pmovnbHT5+saYUoNuM7OTr744guOHz/OvXv38PX1dVgM4PpkCiW8vLxkyA6go6OD+vp6enp65GvUarXk12VkZPDnf/7n7Ny5k8DAQJe0+UnwMI6LO43Jo6C8OVqtVi5dukRFRYWDUaTVaunu7qa0tJTOzk65efX19XHx4kVMJhOBgYEEBAQwPDxMWVkZYM8AX7dunYNMiCs9BkqDc/78+eTk5Dgk7IjSzX5+frS1tVFSUsL4+DgdHR3s37+fhoYGduzY4cBBczW+jhFis9kc6ncfOHCAX/3qV9y+fZtly5bx+uuvs2vXLodKMO6iGqGMLKlUKvbu3cuiRYtoaWmhtbWV6OhoCgoKqK6ulmWQwe5Rf+aZZ3jllVdIS0sDvgzbuktkR3jWH3VOKPl5JSUlGAwGPv30U7q6uiQfW7xOzGmNRkNqaqpDyNmZgjLdUM4djUZDREQEycnJMqv868Jms02qWOBqiJwCUQ5UFPhQhtaVrxW4evUq+/fvdzBchUdPq9ViNpupqanh9OnTvPjii9J4nYyDOVP4uvPn2LFj/OM//iOXL1+WSc7CkaU07lxxCVGuOW9vb9LS0r7WGaV8nbioiCRRoXOvfO2s8LyKg1B5ixY1nH18fBwmgHNiy/DwsNQ57e/v5/333+fYsWMALF68mAULFjhkvbmLh9JZF7KyspI//elPHDhwQPIkAQfOy6JFi1i9erW85cwWQrqSuzYZ3CUs91UQc0fIhLz55puUlZURERFBQEAAFotFenLa2tro7OyU42w2m2X2qPCIiKppOp2O4ODgBzTu3CHcJTxPzvNMuZHGxsby3e9+l4iICE6cOMH169c5ceIEFosFf39/QkJCZDhopj1ZygTAx03Mcl5XV69e5Z133uHWrVvodDq2bt3K5s2bp1xMe6og+ikoO0lJSURFRTE0NCQzgbu6uqioqJCcs8WLF/PSSy+xe/duabiKfdld9syvghhrYbheuXKFt99+myNHjjgkrQEOiiBg16gUnPyJiQnMZvOMlyFVzk9/f38WL16Mn58fQUFBHD9+nKioqAeMsIc5A5SJpM6vcXV0wNlr6FxBSxkqF2NQV1fHlStXpIZtSEiIPBujoqIICwujvb0do9HI0NCQQxKbK/or+iLm4qlTpzh58iQjIyP4+fk5XCrGx8dlNODatWtcvnwZsK8/q9VKREQEO3fuZOPGjZjNZumpdNW6VHL7v+n5JGTOAMLDw1mxYoUDb3Yq+zYtFpIyi00MstDZ02g0DuL7zhB8H6VH4OrVq7LUWFhYGNu3b2fdunUOh4w7bMTOOnQ1NTUcOnRIShGBnS4wNjbG2NgYoaGhLFu2jK1bt8qKFK4uuvB18FXGg7v3xdmIHBwcpLW1ldraWvnfV0FoUwoI40+lUpGdnU10dLTbyLkpIXiBYrN1TnYUoa1ly5axbNky8vPz+ed//meOHz/OrVu3WLp0KYWFhdJ4VSbHzAS+zg1eJJOIYgWDg4PcunWLDz/8UKqA7Nmzh+3bt0tenghDu5PxKuAsQxMeHo6XlxcjIyN8+umn/PrXv6a9vV0mKe3atUsqC4h+uYvH9XGg5M3funWLt956iw8//JDu7m7ppVOqYfj6+pKTk0Nubi5r165lyZIlcl26mr6j1WpJSkoiKSmJ+Ph4UlNT0el0DuFZUW3JGc57qfP8d/W+4ryHiCIEggKgNGbVajVDQ0NcvXqVyspKaTgZjUY0Gg0LFiygoKAAm83G6dOnMRqN+Pv7u1y6TvRvcHCQ69ev88///M8cOHDgsd/r7+8vq9olJCSwZ88e1q9fLy/VQsvYVZSWqYBIQA8PD6egoIDMzEyH73Bb2oA4EJUejoGBAa5du8bY2BiFhYUPNV4nJiYYHh5Go9HIzOdPPvmE3/3ud/T19eHt7c3atWtZs2aNLME5k2K+j4Kz4VpRUcHBgwf5+OOPpRQR2I3XuLg4QkNDWbBgAbt376awsBB/f3/Gx8dnPKQ1nVCGhtwRSs+xl5cXkZGRrF27lr6+Pv74xz9KOSxnOEuyBQYGEhkZSVBQELGxscyfP59FixaRnZ1NbGysA4dZ+b2uhvCUKDOVhRHgvJFt27aN9vZ27ty5Q3t7O52dnTNenembQIRYhbHW2trK559/zrFjxygqKiI2NpY9e/bw+uuvs3jxYvk+Vxs5jwMxTiI0e/36dc6ePSsTz5KSkigoKJBSN2J/cQfP/+PA2VN68+ZNfv3rX3P48GEHVQWw07DEoZmQkMCPfvQjNm3aRFRUlEMypTtdRrKzs6XEntgjviqaNZsgfuvR0VFJkYMvLyMjIyPcuXNHFpUQ79m6dSs//OEPyc3N5eLFi1Jz1NUavcKoHB0d5eDBgxgMBulNfRw42ylGo5E7d+6Ql5cnZbIEH9iVNo2z7vnXhTOXfbow5VaSML6sVivNzc00NzdTXl7O6dOnGRoaory8nJUrV0qx2+DgYMkRDQkJceB8lpaW8sc//pGTJ08CsG7dOnbu3Ckrr4D7bEZKw7WkpIQPPviAAwcOUFtbi0qlkslLiYmJPP/882RlZZGUlMTy5cvlbVIpOTHb4DzRJyt1564Qm6mPjw85OTmEhYURHx/P+fPnaW1tlckRzc3NUo4H7FGA3Nxcli5dSlpaGkFBQURHRzN//nySkpJc3KuvxuNUzOrt7SUoKAiVSsWKFSskx7Kmpoa+vj75One7qIhLtIjiTExMUFlZyaeffsqf/vQnysvLSUhI4IUXXuC73/2uTOYZGRmRc8E5i1gYimJDFh4lVxwyzpJL9fX1FBcXO+icBgcHk5KSgq+vr9RynU0eV5H0IXD58mUOHjxIe3s7arWasbExSScQiVopKSl85zvf4cUXX3TbNai8UIkiIPDkdCJ3NHhtNhvDw8PU1tZy584dFi1aJOeg0WikrKyM6upqxsbG8Pf3Z9myZbz66qvs2bMHsI+5oMC4qlCBUpe2v79fUsuE4SoKRQg6pHgP2M9Bb29vhoaGMJvNDmWB+/r6+PTTT+nu7mbVqlXk5+eTkpLi4KF29mbPBJ50PxPvt1qtDA8PS27vVGNKjVelu7umpoaPPvqI48ePU1tbi9FoxGKxcOHCBeLj48nIyCArK4vw8HDUajXp6els3LhRUgHKy8s5dOiQgw5lTk4Oq1evJioqalK9PFfAOXReU1PDxx9/zDvvvCM5rkJZAOyVcL7zne+Qnp7+wKDOVo+r8wLTaDSSj6csBeiucJ5DUVFRPP/88zzzzDMMDAzg7+9PcHAwJ0+e5C//8i+l8bp582ZefvllVqxYIS9h4iI2V6Csnubr60tUVBQWi4WqqioH75e7Ga8CIgRbXFzMe++9x7Fjx6itrSU2Npbvfe97/OxnPyMuLg6r1So9HpPxacUcVxqvrs7wFu0Fez3yO3fuOIxJTEyMlBIU3tnZcJkEHvD+l5SUcP36dYcLE9j3GkFPCgkJ4fXXX+e11157LL1YV+FhFx533iO/CZTn2ZUrV0hISMBisUiZtuHhYe7duyf5yUuXLmXv3r2sXr0asHvaP//8c5qamtBqtWRnZztIMs7U2a/kGV+/fp0333yToqIi+fzw8LC87IqonHiPUDaZjAZiMpkoKSnh2rVrfPLJJ7z66qt8//vfl9x0VxZdmgpMd2W0KbGWlFJDw8PD3LlzhyNHjvDhhx9y+/ZtwC7tEhkZKWtsV1ZWEh0dzfj4OP7+/uTl5dHR0cHSpUsZGRnh2LFjHD16VPIJU1JSyMrKkgMrpKjcweATZPS7d+9y+PBhPvnkE2m4KjNKk5KSWLRokdSQFMULtFqty43wJ4FzxmxISAjZ2dlSkBpmx8YsPCIi8UpEAwQWL14sy/f5+/uzevVqnnnmmUnn4MjICOPj45KE7y79/zqC+84JTvfu3ZM84LCwMIeDxJ2MIkElUqlUmM1mTpw4wSeffMKZM2fo6OhgwYIF7N27l5/+9KfSyPmmerGuSnxylpxpbGzkxo0btLS0EBYWxtKlS1m5cqWcvyL6MxsgaCxWq5X29nYuX77MZ599xoULF2Sfxe8uKlKB/YxYu3atHNOBgQH8/Pzc4oxwhlK6bmJi4rEULZSUD3dabwLObUpNTWX58uVcvXqV6upqDh06JMvabtmyBavV6uDACQ0NJSYmhrGxMS5dusRvfvMbPvjgAwDJ3VZSsKY7iqCsSjgxMUF5eTmHDx+mqKgIq9Uqy0cPDw/LOahUbvH29pa64IGBgSxatIjh4WHu3r3L4OCggxf23r17HDlyBICCggIWL15MXFyc5MCCe+2xSij1YsV8hi/LMU/X/jglq1op+NzT08Nnn33Ge++9R319PWq1mpycHF544QXi4+M5e/YspaWlqFQqWSmku7ubjo4OGhoaSEtLw8vLi5qaGik3lJqaynPPPce6deukS93V4S/nzLy7d+9y4MABDhw4QGVlJYCU+bBarYSEhLB+/XqppSkmpa+vr9tOyseFCI0ICKPPmdvsLgbcwzBZycLh4WFpsNbW1srNVlALxMHofAlxLtrgLnjcuSYOVOFFaG1t5cyZM1y+fJmAgAB27tzpQMR39XpUQslxLS8v54033uDYsWOMjY0RERFBbGwskZGRdHV14eXlxfDwMBMTE0RERBASEiK1RpXJBUqKgMViobOzk46ODgICAsjMzJzx/gtpKYDm5mZu3bpFaWkpNpuNqKgo9u3bx+bNm+XcFX1wdygvTEajkaNHj/L2229z7do1rFarpKUJbVQR6UhJSWHTpk0OHledTueWhqsSX6d9zoUM3A3O+2dBQQHPP/88RqNRnufNzc10dXXR09PD0NCQw4Wqvb2d69evYzQaqays5NChQ1itVvz9/aU8H9g9ljNxbirP+PHxcW7fvk1JSYnk75pMpkmT5pS8VfH+TZs2sW/fPnp6ejh79iwNDQ309vbS3t4uz5Tr169TU1NDfn4+L7/8Mnv27JHljN2REgKOChijo6MMDg7KXIiAgAAiIiLkHvR11GEeB1PmeRUNE57X6upqfH19efnll3nxxRfJy8uTgtEDAwOMj4/T2dnJpUuXOHHiBHV1ddy6dYvGxsYHSqNlZGTw6quvsmjRIsA9pKQEp06j0TA+Ps7FixfZv38/5eXl0nunHKTExES2bt3K8uXLARzEtGcrRNsnk/cQcjxKzJZEEcChhO/o6ChdXV3cuHGDoaEhgAeqhgk5LWXJQ3eC1WqVmdiPugkLGRehU2y1WqmoqOD8+fMcPHiQ0dFRNm3axEsvvURaWtqk6iCugvjdBW2jtraWjz76iHPnzsmwXXd3N8XFxTQ3N3PgwAH8/PzkWoyJiSEwMNBBL1QcVLGxseTm5hISEkJzczMXLlygtbWVzZs3o9frCQ4OnrEDRlx+fXx86Ovr48yZM5SUlMj5GhwczPLlyyWfUsjwuNucVGKy3662tpajR4/KhB0BZRg2OjqarVu3smXLFvLz86VaBLjXhWoqIS6U7mbAKr3JKpWK9PR0tmzZwpUrV6ipqQHsPE9RXluUhBXvrampob+/n4CAAAYGBiQFJjEx0eFS4qp+Ky+yzo/BlxQrcUZYrVby8vJ4+umneeaZZ1i0aBGjo6MUFBTQ2dlJfX09165d4+bNm1JXXHBqx8bGGB0d5ZlnniE9PV1qF7uaqjQZRHuMRiNtbW2y/4mJicybNw8/Pz9ZcW0qE2GnzAJUhnOETptOpyMvL4/169dLTValsLkI67S0tNDd3c3o6OgDnCawe7FE+GtsbMyhIoUrIPhYPj4+WCwWiouLOXbsGCUlJYB9EpvNZsbGxtBqtaSmprJ3715WrVrl4I2crYarMrGsqamJoqIiuQmJ54ODgx28j+646B4F50XW19dHS0uLvCWPjY051B738/OT73GXfipD2n19fdTV1aHRaEhISCAkJER6FpWhSGX4vLOzk2vXrnH+/HkuXrwo+edLly6VNdUFfccdDAVlsYmysjIpYq9SqRxqqo+MjHDv3j2ampoICAiQ1B6z2SyF1oXMT0hICCaTCbPZTF5eHosWLaK6upozZ84A9gPq9ddfd4nxCtDS0sK5c+fk2KjVajIyMqSEmfhdZgOEV9VisVBaWsr+/fullJmXl71QiKgVL7BkyRJ+8IMfsGHDBlc1e8Yh6HLOl1B32XeU45Odnc3u3bsZGRmhpKSEjo4O+R/g4Env7e11KHPs5eVFVlYW27Ztc0hsc7USiLIAhvDKOlMgEhMTyc7OZtu2bezdu1fSHcVzYN+TFyxYQEJCAtHR0XR1dTEwMEBnZyfnz5+nq6tLqhPpdLoZLcf9OFDaAYODg9y8eVPq9YKdPiguHcLZN5WYMgtQuXCUZd1KS0s5c+YMq1atctCys1qtlJaWUlJSQldXl1yQkxGb6+rq2L9/P5s3byYuLk6KAbsq01cp31JRUcGbb77J2bNn5fNKSZq0tDR+/OMf89JLLzncHt1pEn4dOEsPXbhwgd///vcOmqghISEsW7bM4aIy2/qrTD6cmJigr6+P3t5ehwXoXLfaVfp8D4Nys6uvr+fw4cOMjIxQWFjI6tWriY6OlrQWZVIWQFdXlyyuoRS9F7WqBdypEIVoh9ls5ubNm3zyySe0tbXx7LPPUlhYKD3JgpslKvSEhoYyOjpKeXk5HR0dqNVq+vr68PX1Zfny5TIruL29nfT0dAdD3dmYmgkov89oNFJbW0tTUxMajYYNGzawefNmudcK+oc7QxmpGB8f59atW/zmN79h//79UiJRJMQI2oZKpSInJ4dNmzaxZMkS+VnutganA4Iy4q79VK4PnU7Hiy++SFpaGvv37+eDDz6Qld9E8aKHZaMnJCTw7LPP8sorr8hKgDMtJalcayJ6JegRYl4qs+vBnlj+wx/+kKeeeoqUlBQHw1uJ0NBQVq9eTWpqKrt27aKnp4d79+5x8uRJDh8+TGVlJUVFRaxYsYKFCxe63TpWUiMaGho4deqUgyyocOBNF6b811CpVNJLarVaOXDgAL29vVRXV5OdnY1KpcJoNNLS0kJpaSk3btygvr5eHo4REREsWrQIf39/ampqqKyslJJZY2Nj7Ny506FGtSsSJpSL89atW5w+fZquri55ExOLMTIyklWrVkmjG77k68xmKBe0UlII7BvrggULWLlyJTExMdKz564b7cMgQnOif3V1dVRUVEg+j0ajcZh37shJUrbp7t27nDx5EqPRSHBwsOSPabVaB5pOf38/tbW1nD17lkOHDjlcyrKysnj55ZdZuXKlfMwdPK4CSo3MqKgonn76aUZHR9mzZw8rVqyQiXMajUbyeQFZRa2mpoaenh7UajWDg4NoNBoWLlyI0WgkNTWV0dFRcnNzGR0dJTY2loaGBjZu3CijSjNlxIuIDtjnYVdXF2C/SBQUFLBmzRq5B7sLpeNREMar2Wzm6tWrvP/++xw4cEBG4TQazQMGTkpKCi+99JIs5SvCkrPtkvy4EL/RxMQEJpOJjo4OqXoinnc3iIIYvr6+rF69Wor0nz59mlu3bjE6OupA/1CpVAQFBZGTk0NSUhLR0dGsWbOGvLw8YOb7qLyYe3t7k5OTw6JFiygrK8NmsznMSV9fX5KTk0lPT2fHjh3s3btXeljFZVlEukSf1Wo1Wq2WtLQ06ZltbW2Vako3b95kYGCAxsZG0tLSpIyou1zQlM6bgYEBBzsO7LaZMjo51fvjlBivykEOCAiQA1xeXo7RaOTIkSMUFxcTEhIiN6KBgQEGBwcdSM9qtZqNGzfy05/+lMjISI4dO8Ybb7xBbW0tN27ckDePwMBAh1rVMwVl9qHVauXmzZsUFRXR09PzQFu8vLxYvHjxA0kErg55TAWUkzA2NpaUlBRqa2sZHByUigopKSnAl0agOyy2rwPlpchms1FWVsalS5ew2WwEBQWRmJjo9skwSipPX18flZWVGI1GybNas2YNKpWK4eFhxsbGaG1t5YsvvmD//v0yMUEcmMHBwWzcuJHvfe97ZGVlTVqMxF3g6+vLmjVryMzMZHR0lPDwcMLCwh7g0jujoKDAISlGUCni4uJISEhApVIREBCA2Wxmw4YNDA4OEhwcLKlAM2W8Kr9ncHBQ0rR8fHxITU11UGRx5/1GqZ9pNpu5fv067777Lvv376e3t1d6GIWRIKSDgoKCWLVqFfv27XugcthcgvI8Eb+V4EVWVlbS3Nz8wPPuBOfxWLFiBZmZmSxevJhf/vKXnD59Wj6em5uLVqslMjKSdevWsXz5cvz8/Bzm+kxHeMTvKTi8K1asYGhoiMrKStl2gSVLlvDiiy+yfft20tLSpOSessKYwKMuWHFxcWzcuBG1Wk1WVhb+/v5otVqHueAuFxXleKjV6kkroE3nnJySk0fJZwwLC2Pr1q2kpaVRWVnJkSNHuHz5Mm1tbbS1tU36/pSUFJYvX86iRYtYtWoVq1evliL34+PjvPXWW1RWVlJcXExdXR3d3d08//zzLF68WB5IM5Eko9wgbt26xRtvvMHhw4dluTeR7OLl5UV2djabN29m3bp1hIWFzYkELQHl4hGJdt3d3Wi1WqKioggPD3fbbPvHhTIhwmaz0d3dLf8/KSmJFStWyJs18FhSNzMNpRZyUFCQ9MB9+umnNDU1kZycjFarlXIuPT090sAVmD9/PmvXrmXevHksX75cKgy4I4dZ2R5/f38pSecsK+UMpVrKZH1Sq9VSLxXs/GYldWKmIPY4Pz8/bDYb1dXVFBUVSeNufHxcRnXa2tpoaGggJiaG2NjYGd0nHxeCtgF2/t/x48c5duyY5D2KZFgBm81GRESElKgT4wvueXmcSijDrxaLhfr6eskbhS/lxdwRFotFRgAiIyPZsmULAQEB7NixA5VKRWpqqvS8+vn5kZKS4nB+iDngDl71goIC/vqv/5o9e/bI0tpqtZqUlBTy8/Md5CFFJOBR7RY0PLEuxW+0YcMGsrOzGR8fJzw83CFa645zXaVSodFoHC4swhYSmGqje8qMVwE/Pz/y8vLIy8vDbDbLwbx7966DZALYJ6UI7+3du5eCggLpybHZbKSlpfHKK6/g6+vLb37zG27fvo1Wq6W5uZn6+nrmzZsnN+WZ8AIpf/z29nauXLlCZ2cnYOd5ikM/Pj6erVu3smnTJpn9Km5icwlWq5WWlhbq6uoAewh6fHzcQb8O3Oem+HWhFKhXzq3w8HDmzZtHdHS0fMwdNxTlupw3bx47d+7k3LlzDA0N0djYSGNjIyqVShp3Ihs0MTERq9VKeHg4u3btcqhAJTyuX7UpuxrC468sLvAwKLnNzp5XpYbhZIbfTGpuKjnMFouF2tpaqqur5XpTq9XcvXuXTz75hGvXrjE+Ps62bduIjIz8Sq+zK+Cs1tHZ2cnw8LDcK5X9Avt+4+fnR0FBAU899RRqtVpePNwxAvCkUM41kRQpuPWAQ8lVd95jhUEj1ldISAg7duxgx44dD32PMNbdYZ9R2iSBgYGPbLfS0H6cSMBk8oxgdwI6lxUXcMdLisViYXR01OHsF3QqAbekDTwMWq2WXbt2MX/+fIaHh+UkEIeAzWaToQIRlhPPi8UYHx/Pyy+/TEFBAX19fajVallDXvnjzMQEVyYqxcXFER0dze3bt9HpdGi1Wsl5zc/P55lnnmHhwoXyve7oqfomUPZDrVazYMECduzYwb179zCZTA4enrkEJW9QbFDuPp7KNufk5PDv/t2/40c/+pHcZERGvRJarRadTie9ADExMQ6Jd7NpXJVKCo8DZWUc8f7JDFtXQXnIabVacnNzJT0H7HvgkSNHeOedd2htbZUSPUKqxt3oO8o9OzAwkBUrVnD37l2uXLnC4OCgVIFQemi9vb0JDw8nIiJC0g3c0TCfaqhUKtRqtQPP0p3G8nEgolmP027hSXanSMHjrH/lOvsm7XbHdfowOCeOtrS0yGhAcnIyycnJ8gyajkv+tBivSqmZR90gnGE2m6VcjxDx9/LyIjo62sHLpcRUC98+CsrBioyMJCIiArDfgMUteMuWLXzve99j+fLlMinEZrPNGc+AUhwdYOXKlQQGBnLv3j3a29vx8fFhwYIF8jXuWg3mcaD0wikl3NRqNUNDQw94PtxlkxVQSmH5+/szb968b/xZZrPZbSraPQ4e5tF4FB51AXaHOSzml0j6TEtLY/ny5YSGhtLf34/RaJT11sPCwpg/fz6JiYnSUeBq49sZSo9WaGgo27dvp7u7m6qqKgYGBrBarZJjbDab8ff3f6D+u7snoz0JlOPV398vuc0Cs6VimoByTQqqEnxZjUqc44/rtZxpiP1BSOopk5SFZ/xJ90elLaOkE7ja+/xV6Ozs5N69e0xMTBAQEEBycjLR0dEPcGCnEtNyEgkD9OvCuYzm4xilM2kwOPM3RM17kfUZEBDACy+8wPPPPy9Lwwlv7FyCsj8RERGsWrWKgoICWRpOq9XK18yVvjv3QymR4s6YqoudO5W4/bZDOQ6pqamsWLGC5uZmGWpdsWIFe/fuZfv27VKmR1ktzN0gPKvR0dEUFhZKOpaQIRNGzsKFC3nppZdYunSpA6Xn24C51k+lTu1si0pOZqRORx/EmeOuv41yPxkaGpJFJUTBl8jIyGkd42kxXp1vD+KmMlnjBV/JucSo+Bz4sjCB+Axxy5npW7fy+wICAnj22WfJzMykr6+P/v5+0tLS2LJli0OocS5DSTKfbCzc0Rv5uFDqKKpUKjZu3MiFCxdoaWmhra2NsLAwhyQedzfSbTYbFotFJhk8am4qN021Wj0nL2CzGcqDMyEhgddff53FixfT29tLaGgoeXl5D1SbAvc9BJXeGSHHFhoaysmTJyWfPiUlhd27d1NYWCjX3WzeX74KzpGDDRs2cPfuXc6cOUNvb6809pWvn02Ybe1VYqbaPpvmtlBdEbSWBQsWOCTUw9RTO6c9Bujj4/PEmedCzNjVUP74YWFh7N27d9LXiU11rnOxHpZJOBe8IkI9QIi879u3j97eXn7xi18QGxtLcnIyAQEBDnqw7gxvb+9Zry/sgR3O+9DWrVvZunWrC1v0ZFCWWo6IiGD79u2kpqYSGBjIH/7wB7y9vfnOd77Dzp07HS6McxlijEVy5Pbt2wkMDEStVnPx4kWWLFnC4sWLHV4/m/dbD2YflPMtIyODTZs28cUXX7B48WIKCwulGsh0lad2vUU4C/FVN36hC/dt2EwECV/pzXOHDNEnhTLL3MfHh/DwcF588UWSkpLw9/cnKytLvu7bMM4euB++ah9y11roD4NYa35+fixatAgfHx/y8vJkEmxaWhoajWZG8xzcCQUFBfz85z9n165dxMXFOXDYZ/t+68HsgzLampmZyc9//nOeffZZwsLCHrhYTQe+tvGq1+unox1ug7neP5j7fZyJ/h07dmzav+NRmOtjCHO/j3O9fzB1fbx48eKUfM5UwzOGcwNzvY8z3b9Dhw5N+3fMXuKJBx544IEHHnjggQffOnjN9aQiDzzwwAMPPPDAAw/mDjyeVw888MADDzzwwAMPZg08xqsHHnjggQceeOCBB7MGHuPVAw888MADDzzwwINZA5dIZen1+nBgL7ATWAjEAxagDPgd8DuDwWBzRdumEnq93gt4HfgJMB/wAaqw9/FfDAbD7Krv5wS9Xv88sA5YDOQBgcAfDAbDK65s11RBr9e/hn2sHgWbwWCY1To1er3+74BlQBYQAYwCDcBB4J8NBkOP61r3ZPDsNXNmr3mNObwW53r/nKHX69cAfwEUAmFAL/Y1+Y8Gg+GoC5v2jfFt2GvcaZ66Suf1BeB/A23AaaARiAb2Ab8Btuv1+hcMBsNszyZ7G3gV6AT+BAwDm4BfAGvnQB//A3ajdQhoBnJc25wpRwnwXx7y3BrgaeCzGWvN9OHfADeAE9jnqj+wEvjPwE/0ev1Kg8HQ5LrmPRE8e83c2GtKmNtrsYS53T8JvV7/H4D/D+gGDmNfmxHAEmA9MCuNV74de00JbjJPXWW8VgO7gCPKm4her/+/gWLgOewD/pFrmvfk0Ov1e7AfJnVAgcFg6L7/uBr4AHsffwC85aImTgX+DXajtRa7B/a0a5sztTAYDCXYF+sD0Ov1l+7/81cz1Z5pRJDBYDA5P6jX6/8r8H8D/xcwW4UQPXvNHNhr5vpanOv9E9Dr9S9gN1xPAvsMBsOg0/MzW/N9ajHn9xp3mqcu4bwaDIZTBoPhU2cXusFgaAd+ef9/1894w6YW++7//XtxmAAYDAYr8B/v/+//MeOtmkIYDIbTBoOhZpbfJL829Hr9AuyeyRbgiIub88SYzHC9jw/u/82cqbZMNTx7zdzYax6GubYWnTGX+qfX672BvwNGgO86G64g5+ysxLdkr5kUrpin7lgeVkzeMZe24skRc//vvUmeE4/l6/X6EIPBYJyZJnkwRfjp/b+/ne1cwq/As/f/lrq0FdMHz14z+zHX1+Jc6l8hkAp8CPTp9fqdwALABBQbDIZLj3rzLMdc2Wsehhmfp25lvOr1ehXw/fv/69r6m08O4QFJneS5NMW/c4DL098cD6YCer1eB7wC2LDzmOYM9Hr9XwMBQDD2BK7V2A3Xv3Vlu6YDnr1m9mMur0WYk/1bfv9vB3aO/ULlk3q9/hzwvMFg6Jrphk0n5the8wBcNU/dTSrrb7HfxI4aDIbjrm7ME+Lw/b9/qdfrw8SD9yeykvAcOqOt8uBJ8SIQAnw2i5OYHoa/Bv4T9izg1dg32i1z7TC5D89eM/sxl9cizL3+Rd3/+zNAhz2hMBD7OjwOrAX2u6Zp04q5tNdMBpfMU7fxvOr1+n8N/BVQiT35YLbjfey3ke3AHb1efwg712cTkA7UYOcSzvZQ0LcNP7n/9w2XtmIaYDAYYgD+/+z9d3jUV5rvi36qpKpSKecAEhJCQhICIUSwRDI5GBuwjXPsdru7p2bPzJ6+s+fM3Wf2ufvs++x95tzz7JmePTPVM52m2wHbYMBkE0zOCKGAUEIB5YiyVFUqVd0/irX4VSFsbCNVSa7v8/iRUQWt9Vvvete73vB9DQZDDI4Q398BNw0Gw7NGo7HArYN7gvDqmimDKbsX72OqzU/QJ6lweFiL7v+71GAwPI+j4Olpg8GQN1VSCKagrhkLbpFTj/C8GgyGP8VB6XIbWG00Gu+5eUjfG/eTtrfi8Ga14hDcH+Oozl8OCO7MdrcM0ItvDYPBMAeHUdfI5KVz+UYYjcY2o9G4D9gARAAfuHlITwxeXTM1MNX34hSdX/f9nzUKwxUAo9E4jMP7CrBkQkc1TpiKusYV7pRTt3teDQbDfwT+AbgFrDUajVNGwRqNRivwP+//J3E/RyQbBxl86cSPzIvviKlUPPGNMBqNdw0Gw20g22AwRCor2ScjvLpmSumaqb4Xp+L8Ku7/7HnE68K41Y//UMYXU1nXuMBtcupWz6vBYPjfcCxwIY6byVRdYFe8BfgBuyYzNcgPCQaDwQ/HutmA37l5OBOJafd/TuoD1Ktrpo6umep7cQrP7xyOavtUg8GgHeP1ufd/1k3YiMYBPxRd4245dZvxajAY/guOnLobOG4mk9qrMxYMBkPwGL9bjGPeA8B/m/BBefFd8RKOgpcjU6R4AgCDwZBuMBhix/i9+n6TgmjgktFo7H7405MDXl0z5XTNlNyLCkzJ+d3fd5/hYDP5P5SvGQyG9cBGoJdJXJH/Q9A1CrhVTt2SNmAwGN7BoUxHgfPAnxsMDzXwqTMajX+Y4KE9aZwwGAzDOEIH/Th6jj8DmHF0FxmLl3HS4H5nn+33/ykMoDyDwfCH+//faTQa/2qChzVeEEnpk77LjQs2Af/PfZqaahz5kTE4OqYl48ihfN99w/t+8OqaqaFrXDBV96LAVJ7fL4CngP/dYDCsxNF5KhF4HscefX+ychH/gHSNgFvl1F05r4KP0AcHLc9YOMskbmd4H58Dr+KoBNYDzTh40P7OaDTWuXFcTwrZONpOKpHMA27JuziKSCY1DAZDBo7Cl6lUPCFwEofyWQbMx0F5Moij8vdD4H9N8kIDr66ZGroGmPJ7ccrPz2g0thsMhqeAv8VhsObiuGwdBv4vo9E4mXmIfyi6xiPkVGW3/6A6e3rhhRdeeOGFF154MYnhEVRZXnjhhRdeeOGFF1548TjwGq9eeOGFF1544YUXXkwaeI1XL7zwwgsvvPDCCy8mDbzGqxdeeOGFF1544YUXkwZe49ULL7zwwgsvvPDCi0kDr/HqhRdeeOGFF1544cWkwWPzvBoMhknPqWU0GlWPem2qzw+m/hynwvxg6s/RK6dTe34w9ec4FeYHU3+OXjmduvPzel698MILL7zwwgsvvJg0+NYdtoxG43iMY1wxRou2R2Kqzw+m/hwn4/xg6s/RK6fOmOrzg6k/x8k4P5j6c/TKqTOm4vzc1R7WCy+8cCPsdjsqlQqr1Up9fT1XrlyhuLiYkJAQ1q5dS3Z2NlqtVr5vKsNms2G1WrFarYyOjqJWq9FqtWg0GncPzYtHwGazMTo6Ktfo3r17XLp0iYqKCkJCQliyZAmzZ8/Gz8/PzSP14ocEm83GyMgIIyMj8nd2ux2NRuOVxSeMSWe82u12lC1txcE6FQ5Ym80m56ZSqVCrvVkd4w0hT4/bJlmlUsn/JiOEMapSqRgaGqKsrIzTp0/zySefUFBQAMBPfvITfvazn7FgwQJ8fHwAh2xOVXkUxqpWq3X3UJ4IvkmmJ7sMg2MOGo0Gu91Oc3Mzp0+f5qOPPuLMmTMkJSXx85//nPDwcOLj4wGc9KoXE4ev06uuazIV1katVqPT6dDpdO4eisfAbrdjs9mcfvckdJDHG69CCYuD0263Mzo6Kh+Gj4+PPGAnO0ZHR7FYLABoNJopc5h6KoQsif/GUrQqlcpJyfr4+KDRaCatoh0ZGZFy1dTUxK5duzhw4ADl5eXyPR988AFRUVGkpaURFBQk99tUNV6/DpNx3mK9lHpSQKVS4evrO6m9yiMjI3L8VVVVfPjhh5w4cYKCggJGRkZobGykrq6Orq4ur/HqZrjKn4Dr5UqtVk+Zc/zrMDo6+oOYpxKjo6OYzWan34lz9Ps8C48yXoXnURgTPj4+aLVaJ4WjVqvHPEzcpZyUY/2+QqnRaB46VH6Iwj6eELdA4dn29fXF1/fbb4PJehgqD4w7d+7w5ZdfUl5eTlhYGFlZWZSVldHe3s6VK1cwmUzSeH1cz/RkRH9/P62trbS1tdHf34+/vz/JyckkJCSgVqsnxVqPjo4CjkPhceVZ7ANPnpcrxPkg9GRBQQF79uyhrKyMgIAAwsPDSUtLIz4+3unyP5nm6ApxxrgagmKtlXMT+k2tVrttzsqUjm97dlmtVukkmIwYGBigrq6OlpYW4IG8JiQkkJmZiY+Pz0MOucmMr9ONQl6/6xn7TfAo41WtVsuN920PS6WHbCIhxjpegjgVBNzT8CQObHfJ23eFSBcQ4az29nZu3rxJfX09AGlpaTz//PPk5OSwa9cuIiMj5QEymQ/+sSCUqthbdXV17Nu3j0OHDlFSUkJSUhJ//dd/zY9+9CPA4ekTFx1PxXfVmZNpbYUM+/n5YbVauXXrFidOnKC2tpaoqCjy8vKYMWMGycnJ5ObmEhcXJz87mebpCnEuus5hrDl5QrrZ9xmDO43u7wJlTYDJZKKwsJDf//73HDlyBJVKhclkYmhoiPfee49f/vKXaLVarFYrNpttSqQWfN1ajfc6ul0bi1ulyGESnlVxUPT29jIwMEBcXBxqtZqmpiZqamro6OjAx8eH6OhoEhISiImJmdBQmPL2JMYq5vFtNq7wrA4ODnL9+nWuXbvG6OgoCxcuZOnSpQQGBgKOG6m7Dk/XVA2VSiWLXES4RxycSk+A8jkIr7q7btTKXE9heLa3t9PU1MSdO3doamrCbrej1+sB5Nx8fX2xWq0MDw/j6+vLjBkzmD9/PsnJyQ+lFHgybDabfPatra3s3buXQ4cOMTw8jFarJSoqirlz57JhwwYWLFhAYGAg/v7+AE7rOxUxNDTE3bt3uXnzJlarlfLyctra2uTrYxkOngCxB319feWhf+/ePe7evUtbWxsdHR309vbK94+OjqLX65k5cybz5s0jNjZWfs9kMGRHR0elDmxpaWHXrl3s3LkTk8nEypUrefPNN0lOTiYgIIDp06cTFBTk5hF/P1itVoDHTvMQ6RRiHSdaNwmvr4hCDg0NUV9fj9VqlTpEGOIDAwOYTCbAMb/g4GASExPlmgnZ9vS0QKvVKtemo6OD06dPc/ToUSf9AVBTUyPXQ1nbMhkxOjoq10bsR9fCXmXE+OrVq5w9exaLxYKfnx+jo6MkJiby1FNPkZCQ8J3tGrcbr67COTIygt1uR6vV0tTUxM2bNwkNDSUmJoaWlhY+++wzzp8/T2trKz4+PqSmprJkyRIWL15MSkoKwcHBE3LzFAs1ODgoF0UYPt+mQtvHxwer1crt27f57W9/y8cffwzAs88+i7+/P8uXLx+fCXwLiDw5V3ybm6O7vQFKCAOlsLCQgoICTp8+TWFh4Td+TqVSsWjRIt566y127NghPTuToSJfqSzr6uo4ePAgly9fBiAhIYGIiAjCwsLIyMggIyPDKdfTk9ZuPKDVaomMjGTGjBnU1NQQExNDSEiIfN1TDTtRaAYOmW5ububatWtcvHiRoqIibt26RUdHh9NntFotq1ev5u2332bz5s2EhYV55NzGghhnT08Pp06dYs+ePZhMJvR6PatWrWLNmjVERER47GXj20LoXGHIifQdMTdfX198fHykfAojyl2XEaWOsdvtXL16lXPnzjE0NIRWq5UGzejoKJ2dnfJi5e/vT0xMDAsWLGDhwoUkJCSg0+kmRc2HK+NFSUkJvb296HQ6goKC6OzsBCA2NnbKFKaNdaFQzslms8lLTFtbGx9++CH/8i//4vT+nJwc/vZv/5aoqCjpoPu2mFDjVVlEIB6ActLV1dVUVlZy69YtSkpKaG9vJzU1lXfeeQdfX1+uXr3K73//e0pLSwkMDMRut3P79m1u3bpFVVUVW7ZsYfHixQQHB8u/Nx4Hr/B2WCwWDhw4wPnz51m7di0vvvgiABaL5aFcXVcoiw7a29s5ceIEV69ela9fvXqVffv24e/vT05ODr6+vpMuV8Zut2OxWKSSFRBezYmah1Lh37t3j4KCAk6cOMH169dpbm6WofPH+Z7r168TFhZGXFwca9asITw8fFIoI+ElNplMtLa20traKl+bNWsWCxcuJCoqSv5ussjYd4XSOyUOe3FYigiQ63s9BUqPHDjy7C5dusTJkye5efMmNTU1NDY2yuJPJSwWC2fOnJERhY0bNxITEwN4bn69Mp+3q6uLI0eO8Ktf/YrKykri4uL4kz/5E1588UUiIiKAyS+7JpPJKV/0+vXr7N+/n9LSUnx8fOS5tmLFCp577jni4uLw9/dHpVLR2tpKbW0t06dPZ8aMGcDErKvyrG1vb+f06dPs37+fgoIChoaGHvr7w8PDsognICAArVbLoUOHyM7O5tVXX2Xz5s1On5kMhZPKaKRWq5XOLHBcGpVpWJPR8yo8rsJpZbPZaGtrw8fHh9DQUEmtODIygsVioaamhlOnTnH+/PmHvquvr4/BwUG5t78LJsR4FQvlarCI6vqBgQHKysqkAVdVVUV3d7e8jQnl6u/vT0REBH5+fqhUKkZGRhgcHCQ/Px+TyUR6ejpZWVny+5+0wIvvE4ZkeXk5u3fvZt++fXR1dZGVlUVqaupDRvmjvkugvLyckydP0tDQQGBgIGq1mq6uLvbu3UtERASzZ88mMDBQ3mgmchML3jqTycTw8LD0ig8NDdHT04NWqyUoKEgm2oeGhqLRaLDZbPj7+0tBN5lMMs/nUaGG8YAylAXQ0NDA4cOH+fTTT6UBp1KpCA8PJyIigsDAQHlACFitVnp6eqSRW19fT3V1NTk5OYSHh8vn5IkeOrH3lCkDd+7ckSG7oKAgFixYwKpVq5g+ffqYIaGpCGUaia+vLzabjcHBQcAhq0ql6mkHjVgXUVmfn5/P/v37OXLkCN3d3YDjsIyLiyMkJETqy+HhYTo7O+ns7OT48eOoVCpmzpwp9atYd0+DMhWrvr6e48ePy4v+5s2bef/994mNjZXeycmaS6jM6QXHAX/jxg0OHjzI3r176erqIjk5ma6uLpqamujt7WXFihWkpKQADuaFzz77jIqKCrZv3y6NV2FQjaduGhkZkc+9urqanTt3cuDAgcf6bE9Pj/z/0tJSzGYzdrudnJwcIiMj0el0Hm+4gmNf+vn5YbPZ6O3tdTpDRJpEQECAx+mTb4KwO4QTymaz0dDQwO3bt6mqqsJutzN37lxWrFghjfSioiIOHz7MmTNnaG1tJSQkBK1WS3d3N1arlbS0NKZNmyZl/bvYAhNyOrkOSixuS0sLdXV1FBUVcenSJfLz8+ns7GTmzJn8yZ/8CRs3biQpKUneqJcsWcJbb73F8PAwN27ccBKOgIAAaf0/6u9+XwgCc4DOzk6OHTtGSUkJ4Kh6/fjjj3n55ZdJT0+X83zUphOHhNls5s6dO5SXl2M2m1Gr1QQEBNDX10ddXR3FxcX09PR8Z9f694HNZpPjuHXrFpWVlahUKqKioqioqODs2bPExcWRk5NDb28vWq2WFStWEBERgcViYe7cuUybNo3e3l6KiooYHBwkJSWF1NRU+f0TkaCvVBbDw8P09vY6eaWCg4PJyspi8+bNLFmyhICAAIaHh1Gr1QQFBVFTU8NvfvMbabzq9fpv9Kx7CkR+lTB4amtruXr1Ki0tLeh0OhYtWsTSpUvJyMhArVbL5+KJRsyTguslw2KxYLFYnAx9T1xbpQdNhGX37t3L6dOnqa2tdcpvzcnJIS8vj4yMDBmyrKqqkh7anp4erl69Sl1dHStWrJDf6UlQOj3AkVN448YNbt++DUBUVBTz5s0jOjpavt/T5vBtYLFYpAE4OjrK4cOHOXjwIA0NDcyaNYuf/OQnbN68mZKSEnbu3ElSUhLTpk0DHDnA//qv/8q//du/odFoWLBgwUPyMp4yrXzuokZACZ1Ox8jIyCOps5Q4duwYLS0trFu3jm3btrFgwQLg4UJLT4W4+LvqUGXNyGSSU5vNhtlslmdIQUEBv/vd7ygpKaG5uRmVSsVLL71EXl4eWq2Wnp4e9uzZw6effsq9e/ekTTY6OkpAQABhYWHMnTuXpKQkdDrdQw6mx8W4Gq+uRTptbW0UFBRQWVlJX18fXV1dlJaWUlRURHd3N9OnT+eZZ55h1apVvPjii/LmCNDc3Ex1dTWtra0MDAxIQUhKSiIjI4NnnnmG7OxsWWQCT/4AVgpcTU0NJ0+epK6uDj8/P1paWti3bx+hoaEEBgZKmh3xOVfFIcZmMpkYGBiQm314eNjJczDRG1U51tHRUdrb27l69SrHjh2jqKgIX19fIiIiqK2tpbW1lZKSEsrLyxkYGECn03Hnzh38/f2x2+0sXryYOXPmUF9fz9WrV+nv72fevHmsX7+eBQsWEBAQ8NDfHA8on2FsbCwbNmwgMTGR7u5u7HY7AQEBpKSksGzZMtLS0h76/KxZs9i9e7f8t7+/v0yBmUwYGhri9u3bXLt2jd7eXpKSkli1ahXZ2dlSHidDntmTgOiCU19fz+nTp8nPz5eGu9lsll5YT4JYo97eXq5fv84nn3zC7t276e/vByAuLo7MzEwyMjKYP38+qampJCYmEhkZCTiMva6uLq5evUpPT89DBV2eeKAKPS+KYXbv3k1hYSHR0dG88cYbPP3009KpMBbV4GSC0Putra2cO3eOY8eO0draSnp6OitXruSFF14gICCAjIwMrFYrYWFhRERE0NHRgdFo5Pe//z2Dg4Ns3ryZzMxMaby60mmNB5TPPSEhgRdffJHIyEhu3rwpHTOuEHpZePUEi0R/fz8XL16kp6eH5ORkabx+l4LoiYSS5tN1nIGBgbIYbSzSfk+GkuqqubmZQ4cOsWfPHplPP336dGJiYqTttWfPHg4fPiwjm0KvarVacnJyWLt2LZs2bZI1I991TcfVeFWr1TK039nZyblz5/jggw+4fPmyzAs1mUz4+voyd+5cXnzxRbZt20Z6errTZrh37x5Hjx7l448/5sKFCzJEkZGRwfr169myZQtZWVmEhYWN53ScFIDILRJtJVUqFZWVlZw7d46UlBSio6OlS3ysW4X4rr6+Pnn4gOOZiZBuUlISWVlZDxWPjCeUhqTNZpOcn0ePHpW5WPX19XKM4AjFi1zcEydOYLFYUKvV3Lhxg5iYGLq7u+Vnrl+/TmNjI4AsRvsut67HhauXLTExkYSEBKk8xHxdSbKVz6GqqoqBgQH5mqBO8lQl+ij09fVRX18vPcjR0dHMnTtXVp1PhsKz7wtxoAs53rdvHzt37uTWrVtyPT3Nq+6aktLQ0MC5c+c4deqU1B2pqaksX76c559/nqVLlxIWFiYroQVlT19fH+3t7dIwVzJKgGfl9oqojI+PD729vVy5coXdu3dz/PhxAJYtW8aPf/xj5s6dCzguHJM1XUBZA9Dd3c2nn37Kl19+SVBQEM888wyLFi0iPT1dXvaFUScifLt37+Y3v/kNPT09vPrqq/zFX/wFixcvlpX9ExFFEWwCKpWKpKQk3nrrLZYsWcKePXv4wx/+QFNTE4DMtQYeSs0aGBiQ+aIWi4XGxsaHWD88PSKkNMSUl0GLxeIUifWkvfZ1EGtqs9moqKjgwIEDHDx4kI6ODgIDA5k7dy7r1q1j69atAHz22Wf867/+K1VVVeh0OpmGBjBnzhxefvllXnvtNXnmuDJkfBuMi/GqDFdYLBby8/M5duwYp0+fpqioSFriFouFJUuWsHr1apYvX052drbsiAKOEOe1a9coKCjgypUrnDt3Tr72zDPPsGXLFvLy8khNTZ3wG7cwWgV8fX0xm83U1dXR2NjotDGVQix6Hms0Gvr7+7lx4waFhYXyZmqz2TCZTERGRrJp0yZWrlwpldZ34XL8PrDb7QwODlJXVyeNVbVaLcfq5+eHRqOR4SCbzSbX1mazUVtbS11dndOYGxsbOXnyJLNmzWLGjBkkJCRMqEISBNiP+psmk0myR1itVi5cuMCnn34q00MAQkNDmT9/vlNkwJMNWfH8xaEgIPptizymx6Eys9vtThe28SKgHi8MDw/LFJy2tjZ27drFrVu3gAeH6ZIlS8jMzJSfcXcagesFLC4ujpkzZxIXF0dQUBCbNm0iLy+P+Ph40tLSZMGq0ove3d3N0aNH2b9/P319fURFRfH0008ze/Zs+R5PkmGr1SrH39/fz9WrV7l48SIA69ev5+2332bOnDny/Z5u1Hwd1Go1VqsVu91OUVER586d4969e2zatIkXXniB6OhopyIZnU5Heno606ZNo6WlhfLycrRaLc8//zzvvfceubm58rsn2sMnjB1/f3+ysrKw2+3ExMRw8+ZNWltb6e/vp7Ozk6amJienjXK8Yi0nI+eriMiNjo46OXiKioowGo1s3ryZ+Pj4SXHRGh0dpb+/n/r6em7cuMHVq1e5du0aRUVF6PV6duzYwRtvvEFGRgY6nY4zZ87w2WefSeYelUolIwQrVqzg2WefZfPmzdJwhe+nc8b91KmsrOSLL75g9+7d0o0cFhbGrFmzyMrKYv369WzatInQ0FDgQSVtY2MjX331Fbt37+bcuXOYTCZ0Oh2pqank5uayZcsW1q9fLw074cmdKLge2oICxGKxMDQ0JI1UIcjKIiXlOMvKyrh165b0QAujICMjg3Xr1pGdne3UvGEiN7MowJo/fz7V1dU0NDRIr7eYq3KDKsemPHDtdjt+fn7Y7XbMZjMNDQ0UFxdTXV39kId6vA9QoWDGapupVqvx8/OT42lra+PUqVPs3r2bgYEB9Ho9ycnJrFmzRjJAiEPHU8OVwlgHR7TAlffTbDbLsOs3XYzEweQanp0sXLeuTB0FBQVS0Qr+wXnz5vHiiy+ycOFC+T5RoOkuiOcqCqoiIiLYtGkTZrMZi8XCM888I4t2RLWv0uNhMpk4e/Ysx48fp729HXAY6G+88Qbz5s2Tf8eTZFisk9lslpR2nZ2dZGZm8tZbb7FlyxZ5kXYtAgXPl0VwLibVarXcu3ePmpoaenp6SEhIYOXKlfKCLOapUqlkDYgovCsrKyM5OZlnn32W7Oxsp9zQibyQuPJ8ms1msrOzycnJoaamhv3790vDp6enRxqv4nwT/y/SsSwWy6RKzRKRAo1Gg9lsxmQyyd8VFhby93//94yOjvLee++h0+nkfvYkWXUtzqqpqWHv3r0cP36c27dvMzg4SGBgIKtXr+b1119n3bp1gIMd6YMPPuDSpUuAQ5cI22DBggX86Ec/YsOGDTLlTrQp95j2sOJwE56cO3fucPDgQY4ePepEzZOens4777zDypUriY+PdyKT9vHxobm5mY8++oiPP/6YxsZG+RBWr17Nn/3ZnzFnzhyCgoKccibF4TsRuZMiBOe6sYRxqcxpcW3rp1wstVrN0NCQnJ/4vtjYWLKzs5k/f74M6yk9EeMJpbLz8fFh1qxZ/Pmf/zkrV67kt7/9LadPnyYqKopZs2bJQiybzUZAQABBQUFynUWRkCiiEMa9eM1isUjDb6KhpEdS5veOjIzIyuy2tjZZ1SxSBhISEvjZz37Gtm3bJMMC4LGeR2UEpL6+npMnT1JRUSFfF6Gs7wvlGnsqBL2dv78/fX19fPnllxw+fFi+rtVqWbp0Kdu3b2fdunWSNszdrTaVUB50cXFxvPjii9hsNpnTKvRff38/FRUVNDU1Se7JK1euUF1dLb8rJSWF1atXExIS4lEtOZV5miMjI5w7d47PP/+c4uJitFotycnJTpG2yZQ76AqRI6mMUg4MDBAUFMSsWbMkCwQ8MAxFUdfAwABHjhzhl7/8JYWFheTm5hIaGirPC3EhdafcKp0RAQEBtLe3U1FRQW9vr5PTw3UNxWeGh4elEwg8vyBPRKLEPrXZbGi1WinLtbW18nISGBjoETrFFeLyK860S5cusXfvXhoaGmS60YoVK/ibv/kbcnJy5Ofq6uq4dOkSbW1t8jI5MjJCcHAwixYtYvny5fj7+0uPtLANvs8zeKKnrrLbRHNzM59//jmff/45d+7cARzWeFpaGhs3bpRMAoCsVNfr9bS3t7Nv3z727NlDeXk5ACEhISxdupT333+fZ555Rv49i8UiQ8DjaUAo86/sdjtVVVWUlJQ4hT0ETYuYpzCsBfeZwODgIP39/fj6+lJeXk5tba1TPqVGoyE0NJTo6GjpjXYX1Go1kZGRREZGkpycTH9/P4GBgcTHx5OTk0NfXx8nT56ktraWtLQ0oqKiuHXrFhUVFYyMjDh1URE0W+AwzlNTU4mLi3Py9kzEZn6cUHdNTQ3Hjx/nwIED1NfX4+fnh8lkIjw8nAULFjilCwi4swPao6A8GDs6OigsLKS5uVm+LgzOr6tIVnqyVCoVZrOZ1tZW2eEuLi5OhoEEibqnPQdwPiA7Ozs5cuQI+fn50nvu4+PD4sWLWb9+vVPqkicdMMqLllqtduLlVb7e3NzMvn37KCoqkkV69+7dAx4UdeXl5clcek/KdVaGjQcHBykuLubixYu0trYSHh5OfHy81K3wII3JlTdcGIYiouIp81NCFJmBIx/9+PHjXLt2jeTkZNavX++k/4XhJsLNdXV1HDlyREYOUlJSiIqKkt5Wd8/Xx8dHRrAA2TyjoKDga6M8orIdYPbs2U4tfj1hXq5wTQns7e2VTDXCCFc6udrb26mrqyMyMvJ70USNB4TRqtfrMZlMnDp1ikOHDlFWVibfExAQwMqVK1m6dCngSOlpbm7m1q1bTmeLmLuPjw9BQUFS1wg2pSeBJ3rKKBegpKSEffv2yVxBjUZDSkoK77zzDi+++CKJiYkPBnH/gQEcP36cv//7v6e2tla+npOTw3/6T/+J1atXO/29iQpzuYY0KioqKC4udqpIFoaC8Lwqhbqrq0t6YCsrKykoKKC7u5vGxkZZVQkPwpMip1CZU+sOuG6o1atXM2fOHCIjI4mPj8dkMpGdnU1LSwtxcXFERkbS2NhIYWEh+fn5XL58mbq6OsA5UT8xMZF58+aRmpoqfz8RFbFjwTXMWF1dza5du9i7dy/l5eVOnvOBgQGuX78uO76Fh4c75Wd5MoTRPpZx+k2hVmXYury8nIMHD3LhwgX0er0smExMTHQK+XkalAZ1Q0MDXV1dDA8PSwMnISGBuLi4hxSrJxwqrvg6D2l3dzenT5/m888/p7a29qHWopmZmRgMBtasWSN/50npAkIehR4VOZLwQG8ITzPgtP9c05Y8uThGqfN6enrYv38/v/vd7zCZTDIlDpwb3iiLfM+cOcO1a9cAeO6553jnnXdYsGCBRxhESj50i8VCQUEBR48epaysTObcjyVzon7Cbrczffp0Nm3aJJkGwDMjXK7PWFnsrEz3E6itraWwsJCUlBSnS78nzE3IpN1u58SJE/yv//W/nBonhYeHy1RGgd7eXk6fPs3Fixelo0qkBYDD8RgcHCzX2263Mzw8jJ+f3/c+M5/IExMbRSxAfX09JSUl3L17V77n6aef5tVXX2Xbtm1ERkZis9no7u52Cv+fOnWKL774QhquAQEBrF27lrfffpuVK1cCjtwfq9VKQEDAhG5OpTE6MDDgREKs5G2z2Ww0Nzdz5coVpk+fTn19PTdv3pS0Es3NzZSWltLT08Pw8DAtLS3ye4Vx5ynCLEIfwoBTdm0Bh7JZunQpQ0NDUhhTU1OJj49Hq9VSVVUljVdlBebo6CgRERHSi+AOr6UyHGwymbhz5w6VlZXk5+fz1VdfUVJS8hC9S3NzM3v27KG4uJiEhARmzpwp0ztE0YXVanXyOAgouwRNFJT7Q0Qnvu1zVirj27dvc/DgQfbs2UNpaSkBAQG0trZSXV3N9u3bWbFiBb6+vh7pgbVarXR0dFBSUsKJEye4e/eujAYkJCSwZMkSMjIyCA4O/s68g+5AX1+fZD5pamqioaGBGzduyGYFVquV0NBQ1Gq1vGzHxsZKT4jFYvnO1b7jAaH7xHnS1NRET08PoaGhbNy4kVWrVhEbG+vURlxgZGSEvr4+VCoVwcHBTvLnaU1ElDrv3Llz/Pu//zsDAwO8+eab0nCFB+sj5tnR0cEXX3zBhx9+SGNjI4sWLeK1115j1apVTvN152VayXIxNDTE0aNHOXz4MH19fdJZoUwHEFCOWa/XExcX58Qg5Clrp4TymcfGxrJ+/Xo6OjrIz8+XeZ1C9ux2OxUVFVy7dk3KMbg/ajcyMoKPjw96vV5Sfn7yySdcu3ZNpqlER0ezcuVKXn31VRYsWCDPutu3b3PkyBGuXbvG6OiojFKOjIwQFBTE8uXLpe1msVg4fvw4dXV1zJo1i9zcXMLCwr5znvoTNV7F//f19TE0NOTUHm3OnDmsWLFCUrj4+voSEhIiD4irV6/yL//yL5IKRa1Ws3jxYv70T/+UDRs2AA/yfdxRqad8sCLFQTlngcHBQQoLC7l3754UhsLCQkkPpVKpHiJw1mg00kDU6XTMmTOHjIwMJy+Quw7SsZL+lfMVlaXKLi6CSUHpmRbGok6nk1XSyu+YaIg59ff3U1RUxIkTJzh16pS8WAjjS8xpdHSUvr4+Ll68yMWLF/H19SUlJYXNmzdjMplYtGiRU0tHAWUe+ERDuU7iEqL05n9d/phyT5tMJoqKijh06BBffvmlTAvp6+vjypUr3Lhxg66uLkk+PdGsGF8H5fNvb2/nwIEDHDhwgJaWFnn5jIqKYu7cuaSnp0ud5SnjHwvK4tSOjg5+97vfsXfvXurq6saM1vT29kpjobq6mmPHjhESEsKcOXNkWpOnhC6VHtSysjIZFs/IyGD16tVkZGQ4vRcch29bWxuVlZXU1NQwOjrK9OnTSU5Oloa6p1xEhB4UnZhKS0vZt28fZWVlvPvuu/ziF78AkA4BwYxhs9moq6vjwIEDfPDBBxQVFZGSksK2bdtYunSpNH7cbQiJsQpYrVZaWlpobm7+xroNZdSmr69P5m3PnDlTfq8nXUDgQbTUZrMRFxfH9u3bqays5PLly8ADb7Iw2nt6erhz585DZ6M7oYxSnD9/nr/7u7+joaEBeLAfFy5cyMsvv8zGjRvRaDTY7XbpiCsoKJDzEcYrOKg+N27cyNy5cxkeHubAgQP89re/pby8nA0bNhAbGysvJ27rsOVKxh8fH8+sWbOIiIigvr4eX19fiouL+c1vfkNGRgbp6enk5OTg5+eHxWLhyy+/5NNPP+XUqVMy//OVV17h/fff5+mnn/7OkxsPCM+h6yEhQqYdHR0MDg5SUlIivR3K9neuUBrAvr6+zJs3j61bt7J69WqCgoLcavy4QmxSZahZbF6LxSKVZkVFBQcPHqSsrEx6USwWC3q9njVr1vDmm29KjkKY2LClMg+0t7eXkydPcuzYMa5fv86dO3ek/On1etkAIyIigsbGRm7fvi2jCVarlTt37nD06FEaGxt58cUXeeWVV5xC7MKrKxLYBfWYMOLHe01dw6g+Pj5OFxHx+lj7Sul1Lygo4De/+Q1ffvklg4ODTlEGcBgPhw8fRq1W85Of/ISlS5dKmhRPqab18fFhZGSEuro6yTnp+rq7D/3HhfDogIOV5dNPP5Xcva6YPn2603ybmpr44IMPsFgsvPfee8yaNctJB7kz1AwPiPpv3rzJH/7wByoqKtBoNCQlJTnxXYsL/7Vr1zhy5AiVlZUyFWtgYICwsDBmzpzJihUr2LZtmzSA3G3cCQeMSqViYGCATz75hAsXLrBgwQLWrl0r36dkxuju7ub69et8+eWXnDx5ktbWVpYuXcqOHTt47rnnZDTMU6IFyj2v1+tZunQpt27dkvzugmLRbDZjs9nkWSp+qlQq2tvbuXjxInl5eZIPXOR6e1qKlkj1E0wgY7EQKQ1zcYa6G8LhJMZ74cIF9uzZIw1XYXBrtVpSU1PJyMhwKpQUa6e0hcT/a7VaZs2aRVBQEJcuXeLChQucPHmSs2fPYrPZqKmpoa2tDZPJNGak8nHwRHexUKqhoaFkZWWRmprK7du3MZvNnDlzhjNnzpCZmcnq1au5e/cuycnJ1NfX88EHH3Ds2DFGRkaIi4tjxYoV/OIXv2DRokWA4xYWEBDgEblZPj4++Pv74+/v76QoxOE4ODj4UHceEa5VMhEoiZqFV0Sv1zNjxgxycnIIDw8HHGkS33VxnzQeZUQLbys4PM/Xr1+XN0+RczcyMsKMGTPYuHEj27dvR6vVuqXKWWm8ms1mysrKOH78uDRKo6OjSU9PJyEhgdTUVHJycoiLi6Ouro7CwkLq6upoaGigqqqK1tZWysvLZYexgIAAVqxYIVNafHx8pPd8ZGSEoqIienp6SElJkcWK40kP5up5tVqtD93yXXNexfu0Wi1qtVpeRA4dOiRzD3U6HcHBwTIKMjQ0RGdnJzt37mTatGmkp6dL+XUXxLzEs62srOTkyZNOFfcCgp94rC5AngilvPj7+5OZmYnJZCImJobg4GC6urqwWq2kpqYye/ZsamtruX79Ot3d3ZhMJmpra9m7dy96vZ7t27eTkZHhdsNdHIbCKC8oKODYsWP09/fLSI0y1Nzd3c2tW7f45JNP+Oijj2TxrFarRaPRUFdXx82bN6mpqWH27NkeY7wqvdwtLS1cuHABHx8f3nvvPRlhBEfKXG9vL3fv3uXSpUscOXKE69evo9VqWb16Ndu3b2f9+vUy/9cT2AUElOe0v78/GzdulKHk/Px8TCaTE9sAPEi9E0VsgjNdyVLkCQbfWFCeYSMjI4SHhxMSEiLbkLvWAQjd6m4odX93dzdHjhzhzJkz+Pr6EhgYKGkVfXx8CAwMlMWRglFBtElXRsLFHg0ICGBwcJDTp0/T0tLClStXaG5udkq1NJvNTgw/3xbjVrAVHx/PihUrqKqq4ubNm/L3paWlNDU1ceLECZlCcPfuXdlpYdOmTfzlX/6l5B9UJqx7AkQHkG9jSCsNJtfvEsLjqRvzmyCML5EqcPr0aackb0GJFRoaypw5c0hLS3NrC1LlOvj7+5OamkpsbKw0Xp9++mneeOMNsrKyCAgIwM/PD71eT1paGsuXL6e3t5eqqiqOHTvGrl27JG/mpUuX6Ojo4M033+SNN95wKioBx632xIkT6PV6J5JmceiMB1xzXgVtixKuB57SeLXZbFy8eJEjR47IanVwVKyL5iADAwNcunSJK1euYDabKSkp4dq1a9KIF9/pjjbHYh52u50jR47wD//wD3R2djpxDqvVakJCQggJCZlw5ovvCuVldt68efzyl7+ktrYWk8lEbGyspHHTaDQEBQXR1dXFxYsXOXToEPn5+XR0dFBRUcFvfvMbbDYbr7/+OsnJyV/LOjHRUHIxC90oxtff38+XX37JJ598wpUrV6ThGhYWxurVq0lMTKSsrIwvv/ySqqoqCgoKWL58OcHBwW73TCqLJuvr6+nr6yMuLk7yClutVnp7e+np6eHSpUucOnWKU6dOUV9fT3BwMFu3buX1118nOzvbyRPt7nmNBbHv4+LiePbZZwGHYSscG+AoAtJoNAwODjqx7gAycjU8PIxer/cY4/zr4O/vT0ZGBosXL+bKlStyTjqdzuPOehGJE+krpaWl8jwTOecit7yrq4uqqir6+/sJCwsjODiYtrY2WYzuCuHEKi4uZmho6KG1DQ4OJigo6Hs5JJ+o8ao8GIODg1m3bh2jo6MkJSXJAiVxm1KG0oUxY7VaGRwcpLu7m4aGBnx8fJg2bZp8n2jLOdEb1fWGcu3aNZmQrdfr5Q0CkG54MU7hWR3Lq6NM5AbHoeTv7++UE+uJSkkJ0bQAkIbMrVu3ZKh8cHDQKZd32rRpbk2FcPVa5ebm8tOf/pTMzEwCAwNZu3Yt69atc2qbCUhDIDY2loSEBEJDQ4mMjOTSpUvyQpafn09CQgLLly9Hp9PR19dHbW0t586d48qVKwQEBLBu3TpJMg7jayQpn29sbCyLFy+mrKxMUtf5+PhIijcREVAWdRUVFXHx4kXKysqw2WwkJCSQm5vLggULWLx4McnJydy5c4fa2lrZuKKtrY3S0lJp/MP4GuhfB6WXub29XXqOlcwXERERzJkzh3nz5jkZA57gGXkUhM4QxYGzZ89m9uzZ0gHgivj4eJKSkkhISGDfvn0cPHiQzs5OGhoaqKiooLW1lRkzZrjdeFX+Tb1eLzuFmUwmzGYzdrud7u5uTp48ya9+9SvOnz8POGR7/vz5rFy5UnYkPHbsGDU1NVRVVXH27Fnmzp3r1NTmUQ6F8YbSAOvt7WVoaAiz2cy5c+eoq6vjypUrtLa2YjabqampobS0VBb1zpw5ky1btshUupGREalHPdGoU+6h+Ph4tm3bho+PD6GhoTKXdc6cOdy7d49Lly5RXl7uFB0Sxc9VVVXMmzdP5lp6MkRNy8DAABaLxel8FxD61t0Q6zMwMEBHR4cT9adgYgHH/rt27RpdXV0EBwcTFxdHaGgobW1tXLp0SXpolXO1WCxO3Rz9/PzQarUMDAwQHBxMQkICSUlJMvf7u/CEj4vn1W53dBxKT08nNjaWtWvX0trayt27d7l58yaXL1+msrJSWuPC8LPb7Rw7doza2lrmz5/P008/zerVq5k+fTqAWwxXV/T29lJaWirDGYGBgU6HpAhBKpWJa4GTCM+K/xevT5s2jQULFpCQkCDf78mHKDy4sNhsNm7dukVxcTHNzc0PHaRxcXGkp6cTHx/vlGs50ZtYuS5qtZrExETeeecd3nzzTQB58fg66HQ6li5dSm5uLpcvX+Yf/uEf2LdvH+DgEL1w4QKNjY2Ul5dz6NAhLl68SExMDH/2Z3/Gs88+S0xMjDToxjOEKW7VdrujReOKFSu4cOECp06dknN1LUoT+6u6upo9e/Zw5coVeUguX76cv/zLvyQzM1MWLPr6+so8L7PZTHd3N11dXU6Kyx2KWsl+olKpWLJkCevXr+fSpUsMDg5KOdDpdAQGBj6UBuSJxoASylQdgUd5MSwWCyEhITz33HNoNBrZrcrX15ehoSFaWlpkLia4zzOk/LvK9pri4Ovo6KChoYHf/e530nCdMWMGy5YtY9u2bWzYsIGwsDCamprQaDT4+/tjt9spKyujoKCAvLw8txuvyjmGhISg1+spLi7mH//xH7Hb7ZSUlKDT6UhKSkKn06HX62URTEJCghPbi9VqdSqK9lSIy1BcXBzbtm0jLS2N9vZ2pk+fTmpqKtXV1ahUKjo6OmhtbZUXS4vFwo0bNzh58iShoaHMmDHjIT3lCVA6twSv8pUrVwBH+Fy0T1emRniSfhFjUeps5fgE3dm1a9dQq9VEREQQEhLC0NAQXV1dmM1macuMxSIh6h/AURybmZnJkiVLnGT5u+iccU/+CQ0NJTQ0lKSkJLKzs9mwYQMHDx7kn/7pnygvL0en00nFGR4ezr1797h+/br8r6CggFWrVpGTk+NEHj6RUApbcHAwq1atory8nLKyMmmAixuEcLO7LkZWVhZLlixBo9FQWlpKUVERvb29+Pr6SuN32rRpLFmyxIkD11ONV1eqmiNHjvD73//eKUVkYGAAtVrN3LlzefHFF1myZIkk3va0zkVKZSguIMK4VBYviVQPjUaDWq2WMt3Y2EhJSQkVFRV88skn6PV6amtruXv3LjNmzOC1117j+eefd+qaMxFQ0j6FhIQ8xGOqTF3RaDT09fVRWFjIiRMn+OKLL+Qe3bFjBz/72c9YvHix0+cDAwOl1xUeKEB3r6vSeAVYvnw5AwMDdHd3k5+fLwsku7q6uHnzJnPnziU2NtYph9CTDkgRRheHhJIAXaQ/CJoycdkQsmsymeQ+FQ0KRPSrqKiI9PR0Vq5cKRlARPGJO2GxWKQnSIQYi4uLuXTpEmfPngUcc3nhhRfYsGGDk+dc6FRxkIaGhsrwtIC75RMcJPybN2+mr69PNuSZPXs2q1evJi0tjdbWVq5evUp/fz9BQUFER0dPCmPVFcqc+ujoaCIiIjCZTDIVQLQbLSkpobW1FbvdLg324uJi9u7dS3Z2tjR2RPGvJ0FZxKqseREFZoJPWhjyniB/AsoiYwGRdwwPOmKCY35tbW20tbU5fYfSjhFz9vf3R61WyxznwMBA8vLyeOWVV1izZo3Uz9/VDhgX43Usr6Ovr688GGbMmCEflNlsJjQ0lNmzZ5Obm8vAwAAFBQV0dHTQ3NzMv/7rv3Lq1ClZWZmWliYNxYkSAuXDDQ8P59VXXyUsLIwPP/xQtg8VXgKVSoVWq0Wr1RIeHk54eDixsbGsWrWKLVu2ALB3715aWlro7e19KF9EtHMU3Gru7rL1KCh5PPv7+zl8+LD0Popb2cjICKGhoWzZsoVXX31V9l/3JAjjTigXkQfkWiSnNHCFIaFWqwkKCmLdunXU19dTWVlJe3u7zBvy8/Nj5cqVvPXWW+zYsYPQ0NDvHCL5PlAaOkFBQej1eoaHh+np6aG4uFh2TFOpVPT19fHpp59y6NAhWXWamJjI66+/zooVKwBH6oygOLl37x5DQ0NSHmbPnk16erqk+BHPbqLhyh1otVoxmUwPVcZarVb6+voYGBh4bBoxd+BRVdaigFTA19f3ISpBpdGm0WhYtGgRd+7c4eTJk9TV1Y3ZcMUdUOrygIAAQkNDpVe4paWFkpISzpw5w8jICDk5OWzZsoUdO3aQlZUFOBP/azQahoaG0Gg0LFmyhNWrVzvpUncVbSnXMCEhgZdffpnQ0FCKi4vR6XSsXbuWZ599Fl9fXz799FO+/PJLent7yc7OZsmSJU6FkO6sHfg2cJVbUciqbMk9f/58ZsyYwcWLF4EHnSnNZjOdnZ0MDQ3Jz3va3oQHsuvaQWqs3G3BWOT6WXfC9cwTzhslh7/Q44I9QayrOD8FxJz7+/vlnAMCAsjLy+PVV1/l+eefl7L7fWqaxnUHi7ws8WDsdjs1NTUUFBTIPAmA+fPns23bNtavX49Op6Orq4uBgQFu3LjBr371K4qKirh79y4NDQ0899xzLFy4kOjo6AnzSro+2KioKLZv386cOXPYs2cPu3fv5s6dO2i1WiIiIkhISGDOnDmS+DwkJITIyEimT5/O8PAwmZmZxMXFUVVV5ZRyUF1dzW9+8xuGhoZISUnh3XffJS8vD/A8T5AQPrvdzrVr16ioqHB6XaxNUlISWVlZTlx9nkZ3oqT/epxxKdtOguNCExYW5rQ+8fHxLF26lNdff501a9ZIr5Y7FVVoaCgZGRnk5uZy48YNqqur2blzJ2azmZiYGKZPn87Q0BDl5eVOhuvatWvlxcNuf9CiUhQCiU5kKSkpbNmyhQ0bNhARESEvmO6SW2WzjzNnzvCb3/yGW7duOXFiJiQksHHjRjZv3kxMTMxDDVfcjSedfyqiBq4E/u6GKzdwcnIyubm5NDY2UldXx9DQEBaLxYmRZtu2bdJwFS23lWeOaB8+Z84c5s+fDyCLf9y1D5X6RUSlYmJi6Ovrw8fHh8jISKxWK+fOnePgwYMUFhYSFhbGc889x/PPP09UVJTkDfWk8+C7QLnmrnRSImcyPDycvLw8p9oXT9mbj4Ox9tZYVJvuhEqlIjw8nHnz5lFdXU1jYyMmk0nKmDLFzfViK7zJQk8p97D4f51Ox4oVK/jRj37Es88+62Q7eEzBlitc87IsFguNjY00NjbKm1RISAirVq3ihRdekOHy1NRUAPLy8ggKCuJ3v/sdBQUFfPDBB9y7d4/w8HDZ81hJ2D0REOGooKAgFi5cSHh4OEFBQVRWVuLn5ydbp86ZM4fs7GwnMn6bzYa/v/9DPZsF321tbS2VlZWAQ8kqc1A8yXgVgtrb28vZs2edjHdRLQsOY2n+/PlOlczfRFQ90Rgrd/BREPMW7+/o6KC6upri4mKuXLki1ysgIIDU1FTWrVvH2rVrCQwMZGRkROaoTeTBqYxOaLVacnNzqauro66ujtraWsrKyjh27BhBQUEsWLCAiooK2Q0O4Pnnn8dgMMg9KcLQt27dIj8/n2PHjlFaWgo4CkoWLFgg2RRE3rM7DAW73S4P+d7eXi5fvizbaYo8NF9fX9LS0lizZo28XIkQu7svV8rwot3uaPwyPDyMr68vQUFB36pRi5IXdnR0lNLSUioqKlCpVISFhZGWluYUhnWHnlFeBsHRlGDDhg2UlJSQn58voxkajYbU1FQWLVokK/TBkb6iTO0StIWuVEWe4OWCBwe7Vqtl+vTpsq4D4LPPPuN//I//QXFxMeDYgzt27CA6Otrp854yF1co+cDFv5Uc00qPq6+vL7W1tRw5coTbt2/L7xCRzISEBBYuXOiUbuUp5+BYEHMXEEXbSuNOp9M5FYe6+/Lo4+NDUlIS27ZtIzAwkC+//JLbt2872VZms/mhonPluJWyqFKp8PPzIyYmRhblrVy5ko0bN0o9Iy6R3wfjfoVRbjKNRkNcXBxxcXHSABBdeYThqnx/QEAABoOB7Oxs/vmf/5lPPvmE48ePk5eXJ5scTDQEVZZAUlISf/qnfyqLtATZuU6nczKKRKhAo9Ewffp0WUkLDgUmNjQ4vA4bNmxwCrN7gqJS5qn29/dz6dIlPvzwQw4dOuSUwyQUz+zZs8nLy5sUObyPA2VBYm1tLYcPH+bgwYPcunVLHpTgUM4hISHExsZKRevuMKW4/CQnJ5OXl8fx48dlG+aqqiqMRqNUqEpS+1mzZknD1WQy0dHRweXLlzl06BDXr1+nsrISm81GbGysJKUWcFcVtPCg6/V6hoaGKCoqkp5keNBievr06cybN8+J1kxJZeROKL3GAwMDXL58mdraWqKjo1m8eLHM/3scfk+l8dbV1cW1a9eora2VKQQLFixwezc/MX5x4QkJCWH+/PmkpaVRWloqGVjsdjv+/v4EBAQ4UbD19/dLnSpaFg8MDKDVahkcHKS9vZ3o6GiP8dop10vpmOjs7OTMmTPScN22bRt/9md/Jpu62Gw2j+A7/zqIS5dSXz5KPk0mE6dPn+aPf/yjjIr4+vrKM0Sv1xMSEuJ0WfOE/fl1eJzxeVLqg6+vL9OnTyc+Pp6ZM2cSFxfHF198QXV1NXq9Hp1OR3t7uxPnLuB0uRbQ6/VERkaSmprKqlWrWL16NampqQQHBzt1L3wSttuE7mTBB6oMW4lKNQFRxGS1WgkJCUGlUrF06VJaW1tlu8BPPvmEuLg4nnvuOZlbN5Hk06J6TlBlKQ1RJWw2m1Mlnhhfa2srfX19Tu8TSElJ4bXXXuO1115zuo17wm1T6TW9d+8eFy9e5MqVK1LRiJuZVquVxRSrVq16yDiYbBDhb3AYErdv3+bQoUN8/PHH0gCEB7mFVquVmTNnkp6ejlqtlrLpzkNHGdrJzMzk5Zdfxmq1ysYJgrpOpVI5HRTnz58nNTWV8PBwSd1z8+ZNbty4ISl8AgMDWbduHRs3biQ+Pl4aFe5aa2VjD8EJWlJSIsmwhSGUmZnJs88+y6xZsyQNn6fIp9J4bW5u5sCBAxQWFvLUU08xa9Ysabx+nWEgQujC8yPa/NbU1MjXp0+fLivbBdx5wVTKaUxMjGSsEftMo9FInnCz2UxgYCANDQ00NTVJp0FDQwMXL15Er9czd+5cUlNT5cHpaYaPSHEQ7V8//vhj9uzZAzgM17/6q78iOzsbQBbmeaoDQFkcOtYYxdoq6wdu377N+fPnuXXrFvBw8U5cXBzTpk1zyuv2xPkruYiVOkQwDYj27+DYz2fOnCE6OpqoqCi3NyFSOhlmzZrFCy+8QHR0NJWVlQQEBBAcHExzczM3btygvLyclpYWhoaGnDq6iYZD0dHRrFixgmeeeYZly5aRkJDgtJ6PovP7LphQz+vIyAitra10dnbKnI979+45cb4KS1+JoaEhIiIiSE9Pp7CwkPz8fE6fPs3KlSvdYrzCA5ohcFa4AiIMptfrnTwEDQ0NHD9+XFaXArKQRCz8pk2bSEtLAx4stidsWKWR3dfXR01NDX19fU5dUQDmzp3Lj370I7Zu3ep0yILnHR7fBOXaDQ8Pk5+fzx/+8Af2799Pb2+vDEEr+6zrdDoyMzOdPJbuNoqUlGbR0dG88cYbaDQa/vEf/1GG/cWlUdn95uDBg5SWlpKamkpvb+9D+ephYWGsX7+eV155hQ0bNshCC3emuSg9AVVVVZw5c4Y7d+6gVqsJDQ2VxmtMTAwrV67E19dX5lN6wiURnPdJdXU1ly5doqioiMjISCfCb2XxoCuEl06QwB89epRDhw7Ji7Ovry9RUVFMmzbNKZrkTl2jPEj9/f3JycmhuLiYzs5O+vv7GR4epqSkhLa2NioqKrDb7VRWVo7Z8jc7O5tXX33VKefckzxeItomDOtTp07xz//8z3R2dvKjH/2IX/ziF8ydOxfAicrMU6HMbx8dHaWvrw+LxUJgYKDsOijOfbVazZ07dzh8+DD5+fnSgBfGPCApw+bMmYO/v/9DtQaeAuWYNBoNycnJZGdnU1paKll5RPoAOGyAr776isTERDZu3CiNV3d1fxP7TegRwcnb29uLXq/H39+frq4uSkpKOH/+PIcOHZKsQj4+Pk7pIWq1mtjYWHJycpzYIYR+eZIOnAl/UoKgV8ktpkxedhVMq9VKd3c3zc3NkmRcENx6grdA5NYpaSKEMCs3shhfVVUVhw8f5vbt29IbJw7TBQsWsH37dlmEIL7PU+B6gxLrptFo0Gq1Tsarsue2J+Xrflu4GkJ79+7lww8/xG638/zzz5Odnc3hw4e5du2aVDzTp09/KD/NUyBkMSQkhBUrVlBaWkpnZydtbW0PFREEBgZiMpmorKyks7MTi8XiZLimpaWxYcMGtm7dylNPPSUVlLsOGKF89Xo9o6OjlJWVceDAAdkS1pXCzmKxOB0WnrROYr8MDAzQ1NQkcz4F+bmA0ngV81M2TBHf09HRwf79+zl48KBTv/I5c+Ywc+ZM1Gr1E/WKfFco9YRWq2XJkiXYbDYCAwM5evSoDF22t7dTWlqKzWZzcn4osWTJEp5//nkZwVIypLgbShYegLt373LkyBHa29t5++23+R//43/I3PHJoD+VYxRNB4qLi+nt7SU6Opply5aRnZ1NZ2cnt27doqOjg7KyMo4ePUplZaU0XpUOEl9fX8LCwmR9iNBdnnQmgjMtn6+vL2vXrmV0dJQPPvhA8hErG6PAA4+s2G9j0WtOJJQMCEKHKnNSo6OjWb9+PZmZmfT09EjjVZk2oFaraWpq4sKFC6SmphIVFUV4ePi4tYIf950sBE1UlolOL2KxXYsPhPfDYrHIhG4/Pz/q6+spLy9HpVKxePFili5d6pRf5y6lJKixvg4i1xUcSqqwsFAmrIvnExgYSE5ODsuWLSMwMFBWynqS0lJuroCAAFkk4Zr6ERERIfNcRWccT5rHt4FKpaKnp4fy8nJ27tzJzp07UalUbN++nbfeeguz2czx48eBB9XrS5cudaqO9aS5K8cybdo0tm7dik6nkx1+TCYTKpWKgYEBJw+f4PULDQ0lJCSEadOmsWrVKrZu3crixYulZ0F06XKHh115SRweHubatWtcv35dXqpEsZlarSY6OprMzExMJpPch54QFXDlgbRarU4MD4KGT0BpoIrPifdarVY6Ozvp6enh1KlTXL16VXrVFy1axAsvvMCKFSukbvKE+QsIgzwyMpINGzZIuTt58iTNzc0MDg4+xDUJDyjFUlNTycvLkw1fTCYTPj4+bjfOBURaiI+PD42NjXz44YdcuXKF1NRU3n33XWm4igJlT4fSeL116xYfffQRly5dYnh4mIiICCoqKli+fDldXV1cunSJ+vp62tvbqaurk98hWlILGZ01axZJSUlumM13g7BdZsyYwYsvvkhRUZFs8uLn5yc97RqNRnJj9/b2Eh4e7lZWFnAuXFYa0qKGxWKxEBwczLRp08jMzJSf02g0klYLHA6BK1euYLVasVgsbN++nfj4eCce2CeFCbP4RB5afHw8WVlZxMbG0tHRgc1mo7Gxkfr6eqdCLrHg4EgbaGhooLOzE39/f2bMmEFsbKzHkU4/CkIoBwcHaWpqkmE7QYYPjvy7efPmObUO9WQIxTvWoS9yfJSH6mSCMjLQ19fHuXPn+PTTT/n000+x2+288cYb/If/8B9ob29nz5490rMHjmK7LVu2kJycLH/nKQcmOHvy9Xo9S5YsITs7m5deeokTJ05QVVUFIKu8lRC8tbm5ucyZM4fMzEySkpKclK6nGOqCWNtkMjE6OopOp8NsNjM8PExSUhI//elPeemll+TaCJold0PIndJDruR7dj3kvs7orq2t5cCBA1y4cIGqqioaGxsBxzquWbOG9957j+joaHmoeIpXEpzlVKvVsnjxYuLi4li+fDmnT5/m+PHjUlaVsNlszJo1i82bNztFsB6nc95EQsmReerUKT7++GPMZjMvv/yyk+5wdz7k40LITmdnJ1euXOHs2bPSS97X10dbWxsnTpyQvMomk+mhbkyiXTU4Wv4+88wzTowSniSfY0Hk/Ar+byWzjJJ9wWw209jYyNWrV2XR5PTp050cfZ50Zrp2Ng0JCSElJYU7d+7IdCtXwzQ/Px+LxUJfXx8vvPCCrP94kumDEyYNysFmZmayefNm7t69S19fH4cPHyY1NZWXX35Zvk/pVRWdi0wmE/Hx8cyaNYtp06Y5FcN40mILKKmVrFYrd+7cobm52SllwtfXl6ysLF599VVyc3PlZ0XuoCdBmTdZVlZGTU0NAwMDTmET5Q1Mr9ePyQ3nyVAWHVitVgoLC/noo4/YvXs3AMuWLWPt2rUMDAxw9OhRjh07JjsBhYWFkZuby9KlSwkLC3NKJfFEKIvIwsPDiYqKkp6QO3fucOnSJfr6+tDpdPj4+DBt2jQWLVpEVlYWCQkJ8mB1R+OFb4LIr+vp6XHyIIMj9J6amirZPNxJ6fUoiGiNSqUiPj5eMkHcu3ePyspKEhMTCQoKkkT8Op1Ozre/v5+Ojg7Onz/Prl27ZE4zwLx581i+fDnbt2+XqS2e0FHrURC6Q6fTMWvWLBITE0lISGDmzJlUVFTItRV8lH5+fmRkZJCXl8fMmTPdXjzoCnEmjIyM0NbWxtWrV9m5cyd3795l/fr17Nixg8jISEklpCxU8kQoebvNZjPl5eWUl5fLdQkICMBisTgVhSrh5+cn6yVE+hzAihUr2Lp1KxkZGU462dMhzmzXdEhR16JSqfD396enp4ezZ8/S1tYm6dKAcQmvf1soIz/gsEVcOcyXL1/OvXv3uHfvnuTxV+a2mkwmScOYlpYm2TJETvOTmN+E7WhlakBsbCwvv/wy7e3t/OEPf+DKlSt89tlnpKenSzJpcEz0q6++4oMPPuDy5cuoVCoWLVrE4sWLZYW/sirX06C8QY2OjjI4OMjw8LA0alQqFXq9Xua6JiUlyZy179p1YjygJG632WzcvXuXmzdvUllZKYuVxEaNj49n2rRpTsVsnjKPb4v29nYuXLgg0wKSkpJYt24dXV1d7N69mxs3bkjDNSYmhk2bNrFhwwYnDl9Phuu6CMMAHEb6W2+95bR+rrncAp5qnPv4+EgDW5lz5ufnR39/P0NDQ/j7+3vkoai8uIaEhMjLfFVVFfv376e5uZmkpCR5cffx8WFkZISGhgZKS0spKyvj7t27khFCrVYzb948duzYwSuvvCKLCW02m0fxLrvCdW18fX1ZvHgxOTk5Tt4skXsnZNTTciNdPU6tra0cOHCAnTt3Ul5ezlNPPcVbb73F0qVLZf7xZMh1Vcqp1Wqlv7+fnp4emarjyg3qChEZEXtTdGLaunUrWVlZcl09zZEzFpRGn6+vLzExMWRkZDA8PMzw8DANDQ3Y7XaGh4cl3/3IyAhr166V3/Go4kt3w5WDef369dy5c4cLFy44eV2VKYTiQjleDRkm1OoT1YRarZasrCxee+012traOHr0KPv27cPHx4cdO3aQlpaGxWKhsLCQPXv2SONh+fLlvPnmm7ICEzwrJOsKJcemTqdj9uzZJCYmyoNG8NeJvtXwMMmxJ8JmszE8PCyLdwQNT0BAAEuXLmXhwoVOntjJoHgEhCFgtVppa2uT3UbAkZdcVlYmuU7F76Ojo3nmmWd49913Wbx4sdy8nqiEXKFMXVHmYH/T2JWFQp4yT+U4RAOCN998k6eeeorLly9TU1PDnDlzZJtpk8kk+297GpQXC51OJ/Piuru7OXHiBGVlZcyYMUN6rcxmMyMjI/T09NDQ0CDbvc6cOZNVq1Yxf/584uPjJXUUILmpPXH+rhCpSOLy5KkOi0dBGNpi3KWlpezbt48rV66QlZXFz372M5599lmnqvXJAKXs6HQ6YmNjZZMIcBi0AQEBBAQEyOiA0B1DQ0OSchIcF+Zt27aRk5PD7NmzJfewuz2RjwslU4avr6+MwFmtVqqqqjh27BhlZWVOBv3MmTOlw8D1OzwJysthREQEK1asoKWlhYGBAQoLCyWjjpISLCYmhqVLl0rmJHiyaWUTzvOqpEzIzc3lz/7sz4iMjOTgwYMcPHiQ1tZWFi5cSF9fH/n5+dTV1aHRaCT/6TPPPINer5ceP08XatGf2d/fn8jISGbOnCmNuZ6eHsLDw6Ux6O/v/5DL3hPg6kHu6Oigs7PTiSIDHAVAGzZskAbc47Zb9RQo5yl6ajc3N0tlc+vWrYf4CKOjo9m0aRNvvfUWK1eulN/lLtqTbwvXntZiLV37VcODQ8QTPVvgrBg1Gg3z5s1j3rx5dHV1kZiYSHFxMRs3buSFF16QFGeeCuVc9Ho9OTk5VFRUUFpayuDgoAzPjgW9Xk9iYiKpqaksW7aMLVu2sHjxYvm64C32ZI+rK5TyJiqjx/LICf3paUaA2E9CJ1RWVsqc8tWrV0vKJGX3qckAZU6nr68vM2fOJC8vj6KiIioqKlCr1QwNDY3pwPD19ZWFaTNmzODHP/4x77777pi5n560lo+Ca+tf0QXObrdTVlZGeHg4p0+f5tatWwwNDZGXl8eOHTuYN2+e/JySesrToIweJCQksGXLFrRaLSdOnCA/P5+2tjZ0Oh1arZawsDDWrFnDli1bZMrAk7YH3Hq6BgQEsHLlSlJTU1m6dCl79uyhoaGB06dP09/fj9VqJTc3l0WLFpGTk8PixYslfYMnHp6Pg+DgYEJDQ2WlbFBQEDExMXIunugJUVZxm0wm8vPzuXHjhhMfqFarZf78+U4pHZOBm1AJpbIUlw4lNZQSUVFRJCcns3jxYrZv387y5cudvsfTL1VjQen1F54ipSIVdDaeeMFyhY+PDxEREbJi/c0336Snp4dp06ZJ+fTkOSgvPiEhIWzcuBEfHx/Onz9Pa2sr9fX1TpXaqamp+Pv7o9VqmTVrFitXriQnJ4dp06ZJA0FASRY/GSHG/3VpA56YrqTcSwMDA9jtdtLT01mwYIGUSU8c9+NAnA9BQUG88MILzJ8/n/z8fE6cOMGJEyec8lkFpk2bxp/8yZ/w1FNPodfrSUpKcjr7Jis3uICSamrevHlER0ezefNmenp6GB0dJSoqiqSkJMLCwpw+56nzdbVLEhISeOONN1i9ejUfffQRO3fuJCAggE2bNrFkyRLmzJlDSkrKuF3E3Gq82u12AgICSElJISkpicTERK5du0ZnZycjIyNERUWxaNEiWY0HD7wGk0Xxuno4EhMTeeedd7h586ZMn1i5cqVTgZqnGa/grFQFP52fnx8DAwMEBgayePFiNm3aNKlbwbomqc+YMYN169bJNILAwEB8fHwICgoiKSmJ5ORksrKyyM7ORqPRyI5GkyXk5wrlvpos++vroDS2ExISZHhOFA14snwqL1FarZb09HT8/f2ZNWsW3d3dNDU1cfPmTfr7+0lNTWX27NmyuGfatGksXLjQ6VAUF03X4ovJCE9fu7Hgyvvt7+9Pbm4uubm5LFy4UBbNCRaXyQiRRhQVFUVUVBQLFiwgPj6ehIQEqqursVqtkvUDHGkCb7/9thOtoMVikdRwk22NXaHkTtXpdMyYMUNyn092iFz5gIAAwsPDefPNN9HpdAQEBLB582Ynb7LI3X7SRrlbjVflJhXkvkuXLpUJvoLj1bWvsafeTB4FpRdl7ty5zJw5U+YZ6nQ6WZUv4GnKSyl4er2ep59+mq6uLtra2hgYGECtVrNixQrWrl1LUFCQE8vCZIKr8ZqRkUFiYiLvv/++DHkIz45ocazVap3mORlSBX5IGEtfeFpI+eugHGd8fDwxMTGydkBwKIsuWuKw9/HxeSglQNlAwouJh7Jlak9PD4mJibz00kssX76cOXPmAJ7JevFt4Gps6nQ6Nm3axMqVK2WnKSWpvV6vlywaAlNJf04mJ9u3hStFX0ZGBr/4xS9QqVQyV1lgvJ6BWyVFpVLJghGRDztWHpbwaD2qZ/JkwqPm6MkQz9xsNqPT6Zg/fz6dnZ0cOXKEuro6+vr6CA4OloTSIn93skOj0RASEvKQgnWFJ1JFeeGAULCieluj0UzKdRLeC+VFXhmtGev9gjTdU9pL/9AhDDeNRsOCBQtQq9VOnrjJKJdjQXB/6nQ6/Pz8vjFsLBwggpJvKkEZQbFarVitVpmvLZwfk3XOKpVKUoL5+/s7nZPCOTee/Mpuv+aMVTCizHUR/002L97XYaw5TjYkJSWxcOFC8vPzCQ0N9fi0h++KR9G0uNJHeeHZEN7JyQrXA85VhyghPD6T9VCcylCpVAQHB8scVyWmih5xddB8nQ5VqVQEBgZO5PDcAmHDTGYdNBaUa63URxPhoHO78aqE8lYCzkp4Mhp4Y8Fms0kvkDB8JkuekzKkExcXxzvvvENOTg6+vr4sWbJEvjZVNqgIz4o0lrG4JKdCNMCLyQFlkZKSDcI1B3QysLB44cBkIuD/LhBnupBbZdqAaJIyVc72HzLEWQkT183uWxuvBoNhPMbhMZjq84PxmaNrK1F3wruGUwNTfY5TfX4w9ec41ecH3jlOBUzF+XldRl544YUXXnjhhRdeTBqoPJUQ1wsvvPDCCy+88MILL1zh9bx64YUXXnjhhRdeeDFp4DVevfDCCy+88MILL7yYNPAar1544YUXXnjhhRdeTBq4lSrLYDBsAf4CmANEAC3ADeDvjUbjZXeObTxgMBjeAj64/8/3jUbjb905nu8Lg8HwLvDv3/A2m9FonLQ8MAaD4f8GFgGzgUhgGLgLfAH8s9Fo7HLf6J4sDAbDCuA/AkuBcOAeUAL80mg0HnHj0L4XDAbDDuBpIBuYDwQBHxuNxjfdOa4niR+KnE5VGQUwGAwq4EfAT4FMwAeowKFj/8VoNI66cXhPBFNdTn8IusYV7rJr3OZ5vS/Eh4Ac4EvgH4ECYBtw0WAwTKnFNhgMCcA/AQPuHssTRCHwfz7iv1P333PULSN7cvhLIAA4gUNGPwaswH8Fiu+v66SHwWD4W+AcsBLHfvyfwEEgDFjlvpE9Efwt8B9wHChN7h3KuGHKy+kUl1GAPwK/A2YCnwG/AbQ41vOz+8btZMdUl9Mfgq6RcKdd4xbPq8FgiAX+CmgDsoxGY7vitdU4DJ//BnzkjvE9adxXOv8OdAF7ccx90sNoNBbiMGAfgsFgEJ7zX0/UeMYJwUaj0eT6S4PB8N+B/wz8v4FJTaJnMBheAv6/wEngBaPR2O/y+mTvOvGXQCNwB4dX5LR7hzMumNJyOtVl1GAwbAfeAmqBJUajsfP+7zXALuBF4B3gD24a4pPClJZTfhi6BnC/XeMuz2vi/b99VWm4AhiNxtNAPxDljoGNE/4cWIMjJDTo5rGMOwwGw1wgF8fN87Cbh/O9MJaivY9d93+mTtRYxgMGg0EN/N/AEPC6q1EAYDQaRyZ8YE8QRqPxtNForDIajVOWF3Aqy+kPQUaBF+7//J/CcAU5r/9y/59/NuGjesKYynIKPwxdo4Bb7Rp35bxWARZgicFgiFRuVoPBsBJHnsgXbhrbE4XBYMgA/g74R6PReM5gMKxx95gmAD+7//N3UyFP6xF47v7PYreO4vtjKY4w5edA9/089LmACbg2FXPPf2CYCnL6Q5DR2Ps/a8Z4Tfwux2AwhBqNxp6JGdKEYirI6Q8GnmDXuMV4NRqN9wwGw/8G/D1w22AwfIHD9TwL2IojH+Znj/6GyQGDweALfAjU4wiJTHkYDAY98CZgAyZ1QZoSBoPhr4BAIARHwcFyHIr279w5rieAxfd/tuHIOZ+nfNFgMJwDdhiNxo6JHpgX3x5TVE5/CDIqHDgzx3gtWfH/6cCV8R/O+GKKyukPAp5i17itYMtoNP4SR6jEF3gf+BvgJaAB+INrOsEkxf8BLADeNRqNw+4ezAThZSAUOGo0GhvcPJYnib8C/j84Kp2X4ygY2TDJD0yA6Ps/fw7ogXU4Ih9zgWM4imN2u2doXnwHTEU5/SHI6KH7P39hMBjCxS/vGwr/p+J9YRM6qvHDVJTTHwo8wq5xJ9vAX+MIA/0Bh8c1AFiII0TyscFg+P+5a2xPAgaDYQmOW8n/nCJhrcfFT+///De3juIJw2g0xhqNRhWO8N4LOLwhNw0GQ457R/a9IWjMVDi8V18ZjcYBo9FYCjyPo/jgaYPBkOe2EXrx2JiicvpDkNFPcTCzzMIRjfy1wWD4JY6C2GdwpNoBTIk0rCkqp1MenmTXuMV4NRgMq3Ak4B8wGo2/MBqNNUajcchoNBbgUEZNwP/LYDAkf933eCoUbvVKHiTbT3kYDIY5OPLTGoFJzbn4KBiNxjaj0bgP2ICDm/iDb/iIp6P7/s8ao9FYpHzh/q362P1/LpnQUXnxvTDF5HTKy6jRaLThSJn7K6AVB/PAj3Ho0uU40uoApkJEUmKKyemUhqfZNe4q2Hr2/s+HaCSMRuOQwWC4hsOIXcDYCeyejkAcJMwAJoNhTOaP3xgMht/gSHj+jxM1sHHGD6FQCwCj0XjXYDDcBrJdiw4nGSru/+x5xOvCcNCP/1C8eNKYInL6g5BRo9FoxcFd+z+Vv79fR5CNg9C/dOJHNv6YInI61eFRdo27jFfd/Z+PosMSv7dMwFjGA2YcZNNjIQeHUX4Bh1KeEikFBoPBD4e3wMaj5z7VMO3+z8lsqJ/DQRKeajAYtEaj0XXPzb3/s25CR+XFk8Rkl9Mfuoy+BfgBf5wClGBfh8kup1MdHmXXuMt4PY+jC8VPDQbDvxmNRtmJwmAwbAaW4aBBueSm8X0v3A9l/WSs1wwGw3/Fsch/nOztYV3wEo5igkNTpVDLYDCkAz1Go7HV5fdqHITp0cAlo9HYPdbnJwOMRmOnwWD4DHgDRyL+34rXDAbDemAj0IujoMILD8RUl9MfiowaDIZgo9HY5/K7xTgq8AdwNO6ZtJjqcjrV4Wl2jbuM189xdEpZB5QZDIZ9OPJ8MnCkFKiAv5nsfY5/YBCFWpO9o5YSm4D/5z4VTzWOvLMYHJ1TknHI7PvuG94Twy+Ap4D//T7P8jUcjUSex+EFeX8yc0ve7160/f4/BZ9mnsFg+MP9/+80Go2TuevdD0FOp7SM3scJg8EwDNzC0agnE0exlhlHV7HJmEKnxJSX0x+ArvEYuIvn1WYwGJ4B/hR4FYcC8gfu4Sj0+V9Go/G4O8bmxbfHfcLi5Uy9Qq2TOIzxZcB8HBRggzgS1j/EIaf33Da6JwSj0dhuMBiewuHReh5Hd7R+HN3R/i+j0TjZeSWzcbTWVCKZB/yZd5ncLZunvJz+AGQUHE6dV3HwZOuBZhxc2X9nNBrr3DiuJ4UpL6dMfV3jMVDZ7T+ELmZeeOGFF1544YUXXkwFuI3n1QsvvPDCCy+88MILL74tvMarF1544YUXXnjhhReTBl7j1QsvvPDCCy+88MKLSQOv8eqFF1544YUXXnjhxaSB13j1wgsvvPDCCy+88GLSwGu8euGFF1544YUXXngxafDYPK8Gg2HSc2oZjUbVo16b6vODqT/HqTA/mPpz9Mrp1J4fTP05ToX5wdSfo1dOp+78vJ5XL7zwwgsvvPDCCy8mDb51hy2j0Tge4xhXGAyGx37vVJ8fTOwcRRMM8VOlUqFSfe1leExM9TWEqT9HT5bTJwXvGjpjqs9xMs4Ppv4cvXLqjKk4P7e0h/ViasNisWCz2fDz85OGqqvBOjo6is1mQ6PRuGOIXijQ19dHcXExN2/eRK/X8/TTT5OamgqAzWZDrfYGaLyYXLDb7VgsFkZHR9Fqtfj6eo86LyYONpsNm83m9O/R0VHUarXUp2q1Gh8fH3cNccIg9qFGo3mi+3DCd/To6CjgWLjv4oHzwjNht9ux2+2o1Wq0Wi3g2LBDQ0OYTCasVisqlQqtVou/vz86nU5uXLvd7pWFCYRQpOLiUF1dze9//3t27dpFTEwMo6OjREVFERoaKtdlqq2RzWaT0QClLhJy/F0jBF54BlQqFTqdTv57qsmvF54FZWQRcDJSv+lz4rPi81NFTsWeE/bAk8aEGq82mw2TyQSAn5/fD+LW8UOB3W5nZGQEjUYjN+3t27c5efIkhYWFtLa2olarSUtLY/369axZswY/Pz/AcTNTHjRejC+UyrG3t5eLFy9y8uRJBgcHuXfvHhUVFdTW1pKdnY1KpXIy6KYKRkdHGRkZQaVSOXkEhMfEx8dnSs33hw4RQfCuqRfjAXEZ/raeRavVitVqlbLp4+MzZeyisc4MVyP/+2DCjFehPAICAuTvrFYr8GCSkzG0Y7fbsdlsqFSqbxVeFcI+2RWqcu46nY7R0VFaWlooLi5m7969HD16lIaGBvn+L7/8krt372KxWFi9ejUhISEea7gKD6WIFrhCKJrJFFa3Wq34+vqi0Wjo7Ozk0KFDHD58GI1Gw/r161m0aBGzZ8+e1DL5dRgdHcXHxweNRuOUsiLkWHl4iENlMq3v10FcQlwvI3a7Xcq4uKyIZzFZ9dPg4CC1tbX09/eTmJjItGnTAM9Lg/kmHSN062TTM1Md4twfHR3F19fXKYposVgYGRlheHhY6pW+vj4GBgYICgoiODgYm82GXq8nODj4odQ58d2T0YhV6ha1Wo3VaqW+vp6enh6mTZtGbGws8GT24YRZi2MpQOEin8xenW9rtCo/N1VCBMo5VFRU8Pnnn7Nr1y5u376NTqdj+vTp+Pr60t3dTV9fH0ePHqWnp4fu7m5efPFFgoODAaTn1lOgXFvXw168NtkOFIvFIi+JJSUl/OpXv+Lu3bu88MILvPPOO2RmZqJSqaTShakVynrUPMb6/WQ13B4F5VyUa6sMXbq+Z7LMX7k/R0dHqays5N/+7d8oKirilVde4cc//rE0Gjxpz6rV6oeKWpWYrHpmqkPsDVcDU6VSSedNXV0ddrsdHx8fampquHv3LomJiSQlJWGxWEhOTmbDhg0EBgaO+d2TEcIhJ/6/vLycnTt3Ultby2uvvcbWrVsBx1n/fZ1W4268Wq1WGYJrampi7969WK1Wtm3bRnJy8kPvnyyGrM1mw2KxOBUliRDA10EIszIPRBgUk0lBiWR0Meby8nKKioq4evUqO3fupK2tjaioKN566y0yMzPx9/enu7ubEydOcPz4cS5evEhISAixsbGsWLGCwMBAt3verVYro6OjMgogPB7fdAMWXpPJcFMWz9hqtXL58mUKCgpIT09nx44dPPXUU24e3fhApAjodDrUajVDQ0Ncv36dkpIStFotixcvJjs7G4CysjI6OjqYOXMmCQkJAAwPD6PVaj1ifYW3ZyxDZywoPSFarXbMg/G7XsCfNOx2O1arVXqdvo0+UHqq+vr6uHnzJpcuXaKkpASr1Up0dDRbt26VhoKIQLgLIyMj2O12KVePI1uT8ZxwhVhfJYSnEZyNQnefB2NBjFV5oRgdHeXatWuEhoYye/ZsqqurMRqNlJeXo9fr8fX1xWw2YzabuXnzptyT8+bN486dOwQFBTE0NER8fDxLlixh5syZ8rs97bL1TVCOtbi4mI8++ohDhw4RHR392DrrcTFhxitAW1sb//7v/05NTQ0mk4l3332XkJAQLBYLKpWKgIAAjxTYsaBWq2XOptLgedzxi7QBV0N2MkEcgk1NTRw+fJhdu3ZRXFyMyWQiJCSE//gf/yM///nPCQ8PBxzPKSUlBYvFwuHDhzl16hSxsbFERkayaNEiJy+QOzas6/opQ3pjXaqEgvUEo+abIA5rrVaL2Wzm9OnTXLhwgcjISDZs2MCiRYsAMJlMMqw+VaA0Dvr7+7l48SJ/+MMf+OKLL9DpdLz77ru88sorABw7doyKigry8vJ4/fXXiYqKQqfTecyF+vt64cYyFMYyiN2Rfyfyj78LRDoIQEdHB0VFRQwPDwOQn5/P7t27yc3NlcbryMiIW88aMU+lwa6E0hOuVqvl3p2MUM5lspzvj4LYFyaTiaGhIXx9fSksLOTzzz8nPDyc1atXc+zYMY4dOwaAVqvFYrEQExNDSkoK9+7do6WlheDgYAYHBzlx4gR37tyhq6uLRYsWMTw8jE6nk2kukw2CUaG9vZ1jx47xySefMDAwwOrVq0lKSpLvexLn+7hLkrLwYdq0aezYsYPdu3fz8ccf09zcTFpaGu3t7YSFhfHaa6/JnAiLxeKxm1UZ3m5paaGwsJCIiAhycnIee3MWFhbS3t7OvHnzmD59OjC5bllinE1NTXz55ZccP36ca9euAZCRkcFPfvITXnnlFWm4gkMWli9fTm1tLTdu3KC1tZWamhr6+/ulcehafekuDA0NUVZWxtmzZykoKGBoaEheVkwmE4GBgWRnZ7N27VqysrLk2K1Wq0cafsoISH9/PwcOHKCwsJAFCxawbt06p9QNwCPn8G3h6hHv6+tj9+7d7N69m5s3b0pvyGeffUZ1dTX+/v7U1tZy9+5dioqKaGtr4/3332fmzJmA56W1fFt0dnZSU1NDV1cXZrOZgIAAAgMDaWpq4tq1a/T19REQEMDo6CjBwcEsX76cxYsXExYW5u6hfyOUxl9fXx9VVVV0dXVJ46Gzs1PKNowdop8ICKNZnIklJSWcOHGC8vJyzGazPD9MJhO+vr4EBgaSkZHBxo0bmT17NuBsqHs6rFYrFosFAL1e/60ugSMjI1itVo+JeggHgM1mo6qqiq+++ori4mKpMwIDAzl37hzV1dWo1WqysrKIj4+nubmZ4OBg5s+fT0hICHq9nvj4eCIiIigrK+Ojjz6irq6O5uZmqZcWLFgg7Ql3OnS+DUZHR+nu7qalpYWioiIuXLhAW1sbkZGRREZGEhQUJN87KQq2hLIfHR0lNjaWv/mbvyE8PJz/9t/+Gzt37iQ+Pp66ujoyMzNZv369NF6F0HoShIGl0WiwWq1UVlZy+PBh8vPzmT59Onfv3iUuLg61Wu1ExQMPPK06nY7Ozk7OnTtHXV0d8+fPZ+PGjaSlpcnF9eTUCZvN5pSvUlpayp49ezh58iQAeXl5/OQnP+H5558nLCxMcr4K406v17NixQpefvllCgsLyc3NJTY29pF8sBMxH3A888HBQTo6OmhoaKCmpobi4mKOHTtGeXn5mJ8Vm7O/v5+cnBz8/f091rgR8qdSqTCZTNy+fZu2tjaSkpKkcQY4KZjJCmXxlc1mo6enh6GhIfLz89m5cyenTp0CIDQ0FHBEhA4fPkxSUhLBwcH09/fT0dHBxx9/THh4OG+88QYxMTFuz88XbC0DAwPYbDaZR97W1oZOpyM2NhY/Pz9ZgNXW1kZ7e7tkAqmpqaG8vJy2tjb6+vrQaDQEBgZSXV1NQUEBAIGBgVitVoKCgmhrayMoKIhFixZNiFxbrVb6+/vlRXGsYpZHQWm82u12BgYG6O7uBiAqKoo5c+bg7+8v3+MuY0jMp6enh5KSEo4ePcrnn39OVVXVIz+TlpZGW1sbW7duJTMzk4CAgCdatT0eUBZhKx06AwMDmM1mpzQPi8WC2WwGkJGswMBAAgMD5fNyTVNzB0ZHR2lubub27ducO3eOU6dOcfXq1YfeFxsby3vvvceqVasIDg6mra0Ni8XCtGnTSE1NZebMmej1egCWLVuGxWKR63njxg1u3LhBR0cHKSkphIeHOxV3exqU6+Lj40NHRwdnzpzh3LlzXL9+HavVir+//7h43CfMhy88P2q1msWLF5OTk8O1a9e4ffs2VquVgYGBiRrKd4bJZJJCd/fuXf7Lf/kvHDx4ED8/P0JDQ9m/fz8BAQGoVKqvrSAdHR3FbDbT3t7OgQMHKCoq4j/9p//EkiVLAOf8LU+DEFJRRXjt2jUuX76MzWYjOTmZv/iLv+CFF15Ao9HISkzXkFhKSgp//dd/zeDgIEFBQYSFhbmtOEilUmE2m2lpaeHatWucOnWK/Px8WlpaMJvNXyuXtbW1fPzxxzQ1NfHGG2+wceNGqWDcnVP3dRAeR71e/9CN2NMPxceB8uIrCgQLCgqorKyktLRUvi88PBx/f396enrw9fVl8eLFxMXFYbFYKC8vp7W1ld/97nf09PTw/vvvk5iYCLjPA9vd3U1BQQE3b96kp6cHPz8/mpqauH37NoGBgcydO5egoCCZj19RUcHt27cZHh5Go9FIw9dqtUruZVcIebfb7VRVVVFbW8v8+fPHZb6uRVa1tbWcPn2a6upq5s+fz7p162Su3LeRR6XBpNFomDt3LgsXLnQqjHGnfhW1H3v37qWqqoqOjg6n1zUaDf7+/vT29gJQWVnJL3/5S4qKivjP//k/k5eXJy+hIhrkaRhrvWpqarh+/Tq1tbVS/4gQc2trK76+vpIDfOHChWzevNnJ6+8uyj4REbXb7dy4cYN/+qd/4vLly/j4+ODn5yfpPwHi4uJ4++23eeONN5g1a5a8OAoarcDAQKfxBwcHk5OTQ1FREaWlpRQUFDA8PEx8fDzd3d1OkUtPhGsE4+7du1y4cIHLly/T2toKQGRkJAkJCU77b1KkDYwFvV7P9OnTCQkJkRtXp9M5bURXg8cToFT2nZ2dHDx4kJGREUmL8U3FWo9CUVERPT098t+eEDYfC2azGZ1Oh6+vL319fRw/fpyDBw/S09NDaGgoL7zwAuvWrZOGq9lsxt/f30lQ7XY7Go1Gpkq4C8K4VKlU9Pb2cvLkSQ4cOMCFCxec1kLknLnKo1BaTU1NfPHFF2i1WqKjo8nJyfFIz7kyVCk8AVFRUcyaNYuoqCjgmz3+IjdSCU+shhaG6/DwMKdPn2bnzp3k5+djMpmw2+2kpaWRmZlJeHg4FRUVACQlJbF+/XpmzZrF0NAQ/f39NDU1UV5ezpEjR9i2bZs0XpUNHsYTdrud4eFhGW6trKzk888/5+LFi5IbubW1lc7OTsBRNGmz2eju7v5afaTRaIiJiZH5vP7+/mi1WlklDQ55SUhIICYmZtwuYcoUm/7+fs6cOcNvf/tbWlpasNvtLF26VD6Hb9pPSvlTzl2lUhEREUFMTIxTJG8i96fysnPr1i327dvH3r17KSwsBBzn4bJlywgKCsLf35/MzExiY2O5c+cOJSUl3Lhxg+7ubq5cuUJDQwN5eXmAe72Qj4PBwUGam5upr6+nrq6OiooKrl+/TmlpKUNDQ/KZiIuUoFo0m83MmTOHsrIynn76aVJSUpgxY4bbmtqI89hqtdLY2MjZs2edzgM/Pz/S09NZsGABS5YsYdWqVaSnpz/y+0wmE8PDw9Iw9/f3l1EGkafd3NzMvXv3mDVrlsedJUqI6JbJZKKiooITJ05w+fJlmpqa8PX1ZebMmaxdu5ZFixY5XUQmlfGqNMhGR0cZHByUoQJ4uFLfExdM+cD9/PyYOXMmlZWVgEMB9ff3P/Z36fV6Kajh4eEelyIxFpRrUlxczIEDB7h27RohISH86Ec/4s0335ShWHEr/brvcCeUntGqqioOHDjA6dOnGRwclO/5uhxck8kk8+kGBwc5f/48KSkphISEkJKSAniGF9O1y0lfXx83btygqamJGTNmkJWVhVarfSgdZCwII9W1sMdToFxTk8nE0aNH+eijj+SFRK1WM2vWLLZu3coLL7yAyWRi165ddHR0kJWVRUZGBnPnzqWjo4OmpiaampoARyOH27dvk56eTlBQ0ITtVZVKhb+/P6Ojo9TV1XHs2DGOHDlCY2OjLOIR+YQA9fX1TvIaGhpKeno6kZGRMuolvETz5s1j0aJFhISEEBgYiNlsZv/+/TISlpKSwrp161i4cKGUjydtLCkvAYODg9y8eZP8/HzsdjttbW20tbUxffp0p+KmR8mbcmw9PT1Ounh0dBSr1eo2p4DIW2xsbGTPnj386le/oq2tDXCs8fz583n11VdJT08nICCAGTNmEB0dLb1Yfn5+HDlyBIvFwo0bN1iwYAGpqalSDj3lsizSdcRYqqur2bVrFwcOHKCiokI2AHF1BAQEBJCUlIRGo6G7u5vW1lZKS0upqKjg5MmTvPTSS+zYsYMZM2YAyIjeREEZFQwMDCQuLk7qBp1OR3p6Oj/96U/Zvn07UVFR37hPXHN4/fz8iIiIICoqiqioKDo6OjCbzTQ2NjJnzhwnbnxPgsi9VqvV3Lp1i507d3LkyBHJ6x4XF8czzzzDtm3bmDdvHvBk0z8mTAKUg/Xx8SE4OFjSTNntdoaGhuQBAcjwvCdB6W2Ji4vjxz/+Mfv27aOurg6bzUZGRgbZ2dmMjIxw69Yt6urqGBkZkYaBj4+PrPbVarXSeFVWYXpKwZISQkjFmE+cOMEnn3zC9evXAZg/fz4bNmxg/vz5gKPYydXjqoSy77iobJ9oL4IwrJuamjh16hTXrl1jcHAQPz8/dDod/f392Gw2pk+fTlpaGjNmzGDmzJlERkZy+/ZtvvrqK1pbW/Hx8WF4eJiWlhby8/NZtGiRNF7FRnVniNJ1DMXFxZw4cYK2tjbmz59PTEzMQ+9VQoS94IFHc6yD0vXgcgdErqePjw/FxcV8+umnHD9+nKGhIcBxSC5fvpwXX3yRJUuW0N/fj6+vLytXriQ6Opq0tDRCQ0NZtmwZw8PDhISEUFJSgtls5pNPPsFiscgDaryLKJQhYYvFwr59+/j4449pbGyU77FYLGg0GgICAhgeHsbX15esrCzmzp1LWFgY8fHxpKamyja/Ip3AbrcTGxtLfHw8fn5+0rgaHBykq6sLgA0bNrBu3Tp5GR0PnaSUFbVajV6vJywsjHv37lFcXMzFixeZMWMGcXFxwOMbLcPDw06OEXBuBzxREB5XQVK/f/9+vvjiC2m4pqSksGrVKtavX09ubi5RUVFOhk1KSgqhoaEEBwfT29vL+fPn+fWvf42Pjw/vvvuuLODylDQzoSt0Oh3t7e2cOHFCcnwKpKenk5eXR2xsrKQmjI2NJSEhQUYaent7uX79OkePHuXKlSuMjo6i1WrZsmULiYmJE56OpWywlJqayurVq2lqaiI9PZ24uDgSEhJYs2aNlFNAXpaEZ1LoCmHsKfVGQkICTz31FJ2dnTQ2NsrUicLCQlJSUqThpyy69QSI8Yh6gv3791NTUyNft9vtxMXFjVuUdcKkQLm5oqKiWLRoEeXl5TJRvbu7m0OHDhEYGMiqVavQarUeV2WnNF4jIiLYsWMH0dHRnD9/XhbtrF69mpGREU6dOiXbot65c4e+vj6n77JarahUjv7bqamphISEAJ5JUKzMNSovL+fDDz/k888/B2DBggU888wzTmGSbyIfFvN2B5QhvLa2Nnbt2sUXX3wh01fMZjMqlYqoqCiSk5PJzc0lNzdXeuVUKhXt7e1ERUXxhz/8gbq6OsBxsJaXl1NSUiIrtD1Bdl27tdTV1XHr1i3AIcNf50V09drabDZZbCFkVHRWc+c8hdEt1rWgoIBPPvmEc+fOSU96WFgYubm5bNu2jQULFqBSqQgKCmL58uUPfV98fDxbt24lKSmJs2fP8vnnn3Ps2DF6enoktZjIbR8viGc+ODjIoUOH+Oyzz7hz5w4ajYa8vDySk5Pp7e3lxo0b1NfXExgYyJo1a9i6dStLly5l+vTpBAQEfKNRIy4mKpWKBQsWyBC74OAWB/d4GEdKmdFoNMTFxclcv9raWsrKyujv738s41V81/DwMENDQ07zio2NZcaMGU46ZyLkVWks37p1i/3791NYWIharSY6OpqFCxfy9ttvs2LFCsCZRUB41IW81dXVUV5eTkdHB6dPn2bJkiXEx8d/rZNgIiEMNR8fHwYGBrh8+TIHDx6UhmtiYiJpaWls2rSJLVu2kJCQIB1XSq50gZqaGrKysvj444+5ceMGw8PDjI6O8tZbb8k8UHfknqemprJlyxbsdjtLliwhKSnJiZNV6HylnD5qfcTeiomJITc3l66uLvr7+2lsbMRisVBbWysvk8r3u9s+EOPQ6XSYzWauX7/O6dOnnQxXcESUxYVM2djnSV0i3WK8RkZGsmzZMvLz87lw4QIjIyN0dXVx8OBBdDqdFHRPg7LDko+PDzNnziQ0NJTc3FxGRkYICwsjNjYWm81GUlISbW1t5Ofn88c//lHmpYlcyZGREWbMmMHWrVt56aWXnCq+PeEWDQ+Ur9iId+7c4auvvnIqelmyZAnbt28nKSnJqcrbU6HMs2tra+PAgQPcvHkTQOa2xsfH8+yzz7J161bS0tLw8/NzSrSPjo7mjTfekF1UwPGsamtrOXfuHJmZmSxdulTST7k7rKdUFoODg9hsNsLDw0lKSpJr63ppcqX9stls3L59m1u3btHf349Wq0WtVhMSEkJqaiozZsxwW3hLOT+z2cyBAwf44x//KKvNAbKzs/nzP/9zVqxYIXOyx5JT8fvw8HAWL16M2WymqKiIW7ducfXqVb744gsSExPJyckBnrw3RNmStr29nX/+53/m97//vQxTpqSk8Oqrr/Lqq6/S3t7Of/2v/5X6+nrmzp3LX/7lX7JkyRInDupvgjhMVCoV0dHRREZGuuViqUzREbL4bZ6pMBD6+vro6emRlxa1Wk1aWhrz5s1Dq9U6eUPHC+JwF4d2aWkpx48fl/nVNpuN+fPn88wzzzB37lz5OSUHr3JOgYGBvPXWW0RHR7N//37AUVg3MDCAv7+/fHbgvjQekYMNjnzNw4cPS+rErKwstm3bxurVq5kzZ45TtOdRSE5OxmAwMDg4yK1bt7h16xZFRUW8+OKLTrzhE2G8utou69evR61WP0Qhp8yzfpx1UHaiioyMZPPmzdjtdv74xz/S0tLC7Nmznfaxpzi2RHMmcKTofPbZZ5w4ccLpPSkpKWzZsoW8vDwZqRKXzyc1hwn1v4uCD41GQ1paGgsXLuTChQvU1dXR399PZ2cnRUVF1NTUkJiY6FHk4Eooc2AiIiKIiIhwet1qtZKQkEBCQgL+/v4cOHBAvubn5yfpo/z9/Vm0aBG5ublOtxNPmbPITxIK4saNG3zxxRfyNj137lxyc3PlRUMc5J5svCoPB6vVyt27d+W/g4KCCA8P57nnnuO9995jzpw58jUR0rJYLDKv9eWXX6arq4v8/Hx5WBYUFHD06FHi4+PlweQp3K+jo6M0NTVhNptlBbZIz1ESxAuiafHv6upqzp07x+nTp6moqGBoaIiAgADCwsLQ6XRERESwfv16nnvuOUnjM1FeZ3GRtNvtdHR0cPLkSfbv3+9kuPr5+bF06VI2bNiAWq3GYrFIGR0ZGXkofUXsw4CAAEnh19zczNWrV2W1tNJ4fZLeEHGZ6O/v5/Tp0+zatUsarvHx8cTHx0uGjrCwMF588UV8fX15+umnWbVqlRzT8PCwTBUQxrDy8i28Q8q9qlx/cdBMlFdPVGSL8ZhMJvr6+mTKx+NCXCSU6TLR0dGSJmsivHXKBjSjo6NcvXqVU6dOSfYAjUbDggULWLt2raQTdKWUEp53kW4WFRXFm2++SUZGBnfv3iU+Pt5tBWhjQYy9p6eHU6dOcebMGYaHh0lJSeH555/n5ZdflvpURHCUew2Qe9NsNhMeHk5wcDChoaHExsYSFRVFXl6eEzPKRJ0zYnwigiXOe5EOKPbSd5WrkZERtFotcXFxJCcn09PTQ0NDg6TW9DQoL5lVVVVcunSJ7u5uGaWLjo7m+eef57XXXiMjIwMYH/mcUOPV1TDLzMxk2bJlDAwMyAT7oaEhqqurmTt3rmzP6An5dGPhUeMRKQFC0JUbThwkNpuNwcFBBgcHZUMGT5uf0qNlMpkoLy+XtFgpKSm89NJL5Obmyvd4KjXUo+Dr6+vkLZw5cyZr1qzh3XffdTJc4UGqg06nkxv36aefpqenh7a2NskF29HRwaVLl1i5cqU0Xj0lh7m/v587d+7Q3t7O+vXrmTNnjtMBKIxA5YFSVFTERx99xOeff05dXR0hISGyQl2v19Pa2srx48dpbm4mPj6e5cuXT3glt9g7Z8+e5Ze//KWsmAcICQlhw4YNrFy5UhpiSoPM1YATYxdGTnx8PBs3bpR0PuKSLfCk1lbpmQBHlOPixYtOBYRWq5WOjg727t3LnTt3yMzMJDIykp/+9KdERETQ399PUFCQNISEJ0gYrkoP3ddB+f7xhPL7xd/T6XSyg1Ftba3TJeTrxu7akUppqCubE0yEbCqL22w2G3fv3pUpEGq1mpSUFLKyspya0zxqbq4GUU5ODvPmzXsoNO0uiCJJHx8fent7OXDgALt27aK2tpagoCBWrFjBCy+8IPWpeL/gI4YHazI6OkpAQAABAQEMDQ3JC3NkZCR/+qd/yvvvvw88YL2ZaIeA60VOXPC/615R8saDozC0tLSUzs5OqYc9iXVJjFev1zMyMkJFRQVfffWVTG2w2+3ExMSwdu1aXnjhBZmrqyzsepKYcOlXHhTx8fFkZmZy4cIF+buuri7Onz/PnDlzpPE60dWF3waiCELcJIOCgpxc/ZGRkcyePZvg4GD6+vpkARcgbyoqlUp+x1g5iGMpNvG78fSMiLUaHR2lpKREUvGAIwy7adMm0tLSZGtJT10jJZQKr7293UkeFyxYwI4dO+Sms1gskmQZnD3u4vNlZWWSWkv0sL5z5w4XLlwgLS2NjIwMt1cFC1mx2WyS4N7f318W8giIg0Ws45UrV/jVr37F/v37sdvtrF+/nkWLFhEUFIROpyMyMpJ79+5x5swZWlpa+PjjjwGkATsRBQbKudXW1pKfn4/NZiMgIACbzcaCBQt4/fXXWbJkifSSKuX0UQeP8nczZ85k+fLlXLhwgfz8fGpraxkcHCQgIOCJel2VezkwMJCoqCinsba2ttLa2kphYSH79u2ThR7p6enyYpWRkcG8efMIDQ2VefQCj9OZaSKjP8PDw/JiL6jAysvLpbHp7+//UNj0URBezqqqKiorK2XOqKBeepzveFJQFt3a7Xb6+vrkhSc2NtbJcIWHL1DCmBVOG8HLC46iQ6FPlLR17sqFVDJ89Pf3c+nSJUkllZuby5YtW6Th6ho6dh2vsmXv7du3+fWvf82xY8dYtGgRCxculO9zt7NH2bnv+5y/YvyDg4OUl5fz1Vdf8fnnn9PS0kJ8fDwzZsx44tyo3wfiMiyaNB06dIiPP/7Y6TI/a9Ys1qxZ4+T8Ga+OcBPueVUiKCiI1NRUFi5cSF9fH21tbTQ2NnL+/HmWLVvG8uXLPZ5CSuSXKZWsKPoROVYi9DEwMMDg4CB2u53Q0FBWrFhBbm6uk/fPU+arFLi2tjYZLgUHE0RycrLkoFOr1U7eDU+Ea/FRfX09t27dkqE8vV4vefrA4WnW6XRO6yGMdI1GQ39/P59++im//vWvJReneAZ9fX2cPHmS2NhYoqOjiY6OBtyXPuBa1S2KlUTKgPAUKS+J+fn5GI1Gdu3ahZ+fH2+//TY//vGPycrKekgRPffcc/z3//7f2b9/P3FxcbIISuRGjechoyzUAcf+MZlMqFQq8vLyePnll3n66adl1fyjGoe4QjwHsQ9mz55NQkIC58+fp62tjYGBgSdatCUOc2GwpKamsm7dOi5fvizzqkNDQzGZTHJMbW1t7NmzRxpKUVFRPPXUUyxevJjU1FTmzZtHenq6nMvjHCATaRAoxyPqA8R+zM7OJi8vzyk/cqyxCcYFlUrF0NAQN2/epLi4WBqvnhCxU6Y+xMTEkJGRIbmVAaf0Dngg0+L5CE+lKzwhPUvpWLFardy7d0/K8NKlS1m1apWkdNNoNGOGwZUePXDo5iNHjnDq1CmsVutDjQDGO2f5m/B9n7trEW1NTQ27d++WERVwGIGLFy+WHUefxN/9vhBnPTyof1F2htPr9cyZM4dFixYRGBj40Jn7pOFWV5nI/YmJiSEtLY1f/epXNDQ00NLSwu3btykqKmL+/Plu91x9HVz5D1tbWykqKmJ4eJjw8HA6Ozu5du0a7e3t8v3gKHTasWOH0w3FUwxXcFZKQ0NDtLa2yoNFkGl70ni/CcoQlc1mo6Wlhbt370qlqNVqCQwMdMqFFIpW9NgWhlh1dTV79+5l37590mhS5nMLqrRLly7x/PPPu9V4VR7ePT099PX1odPpmDFjhjTohoeHCQgIkNWjN27c4Le//S2HDx9m5syZvP766zz//PNOxSVKzJo1i5SUFPr6+pyqYyciXUKsV09Pj5PnJiAggFdeeYU333wTf39/qTu+7QEgvMchISGEhYWh1+vR6/XSIzKeYb3MzEx+/vOfs3z5culZtVqt8uDr7++nqKiIEydO0NvbS0dHB4cOHaK4uJhp06bx1FNPsXbtWknpI8YsaHzccZFSplTpdDqGhobo6uri9OnTsiNPaGgoS5YsYcWKFYSEhEiPnc1mk/sNkLy1IjoimksMDg7KS8qTLBB5XLjKvfLCJFryKqkglbRK35fZwd1npJhrQEAACQkJMj+0r6+PwMBA/Pz8pAdP1FRYrVYpm/39/Xz22Wf88Y9/pLe3Fz8/P6Kjo52eibs9kF8HpdddmaajHLPr+hQXF3P8+HFpuIIj3WnmzJlS/t1JhybmpExp2rNnj2St0Wg0+Pn5MX36dLKyskhLS0OlUkkH0HjJo1uNV5FMHx0djVarZdeuXZLgtqKiggsXLjBt2jQZYvHE9AG1Ws3w8DANDQ0UFhZSWFjInTt3MJvNBAQE0N/fz/Xr1526NoFj7l1dXXz11VfSwFAWVigVoDInSlSBC0MpMjJyQuYoCsrAEc5ThjPA/QUD3wUq1QN+XYvFQn19PR0dHURFRTndHDUajTzo6+vr2bVrF//+7/9OdXU1Op1OFiCAY12FB1aZIuIuKJVmR0cH3d3daDQaaVADsgALHJR1X3zxBSdOnCAmJoaf/vSnvPXWW0RERMhGIsJLOzg4KOUvKiqKmJgYbDYbfX19BAcHj6vhoCxEGhoaoqKigrq6Oulx8/f3Z/HixTLlo6+v76Ew+tdBrL24wDQ2NtLe3o5WqyUiIkJ+r2uO8PeFsgI5MDCQ5557jq1bt4753tHRUcrKysjLy+PUqVNUVVXR29tLfX29jCzU1tbKA2Xx4sXMnj3brTpUyWddVlbG9evXKSkpobCwkKGhIdRqtWTrWLZsmWTscC1oElB68qKiooiIiHCiCDObzd+58+F3hassCFkBhxzW1dXR3NxMYmKik4wJjIyMYDab5U9BTyeMW2Eg6vV6OVdRcOhOPayci6uBGRERIcc21jqOjIxw7949vvrqK3bv3i1pl/Ly8lizZg1JSUnyve72QAqISxUgL2Sunn7XtCxAXsT0ej0DAwNUVlZSUVHh1MlRGH7gHo5iJZT8veAoSj548CDd3d0EBgYSFBREcnIya9asYenSpXLO4305dqslqLyRugp0Y2OjTHJXvt9TjFdlRWlfXx+///3v+fWvf01PT49UuPCgm5grLl++THl5uRPLgKjuVQq88OgJ4RWVwODwgD711FPjspmVY/Dz8yMoKEgqJFH1/CiaJU+EcoxqtZpp06YxY8YMucGGh4e5ceMGZ8+eZdOmTZIaS2mY1NXVcfDgQQ4cOMCdO3eclJeACFlPnz6dzMxMt/dTV857YGCAkZGRh9ZKqRibmpq4evUqgYGB/PznP+eVV16R3hPhFRJGqXIvRkVFERcXR09PD+Xl5eTk5EhlNx7eIMGIIOZVWFgoqYjE3/w+uY5KT8fQ0BB37tzh7t27mM1mRkdHMZlMsjf7eMj+4+wpHx8fWdj69NNPU1FRQWVlJWfPnuXMmTMMDAxw4sQJLly4QHR0NJs3b+bVV1+VqTEwfvlornCVgdLSUv74xz/y+eef09HRIZ+paK4QHh7uJD8DAwNOha9jYSwGBdcL5EQYAUoSerVaTWpqKunp6VRWVnL37l3OnTtHeHg4ZrOZuLg4YmNjZRRE8IK3tbXR1dVFXV0ddXV1mEwm/P39pcddpVIxb948cnJyCA0NJTw8nNmzZztxMrvTQykK7trb24mOjv5GWS4oKGDfvn0cO3ZM7mNBQ7lt2zZiY2MZHR39TtGT8YI4Hx7HK6p0Oil1Z1tbGy0tLU4RBXjAgqL8O+6CsqisoaGBkpISGhoaZI1OeHg469ev57333iM+Ph6YmMYZbrUElUplYGDAaQEHBwfp7e11an/oKVXbrhAh58jISHnLFvQ28ODQF4ILjjCnqzf2cSE6fSQnJ5OUlCS91U8SymctqtBFS9TExEQSExOd0gaU1bXiZqn8Hlfl5XrIjDfE3xfJ/gkJCaSkpDjNs6GhgfPnz8tCGHAUZdXX11NRUcGNGze4fPkyNTU1BAQESM+ImI8Ig2m1WjIzM8nJyXG6yEz0YaIsvhH0SUIpKveVCGGaTCbOnj3L7du3eeqpp3jllVeIiYnBbDZLMnExB41G4+RREpW3AwMDtLe3YzKZnELrT3qtXT3abW1ttLe3S+/G0NCQTHOBb8+EoVwrf39/kpOTiYuL4/r163R1dTEwMIBerx/3S9ujvPfid3q9npCQEBYuXEhGRgYtLS3MmzeP2bNnc+XKFSorK7l37x737t2ThndnZyc5OTnExsZOKN2QzWajra2NW7ducerUKQ4dOiTzecUlwNfXV0akmpqaiI+Px2w209bWRlBQEAkJCfj6+mIymVCr1TKtQ6/X097eztWrV2lqapLRj8TERMkLKsYx3lAW8vj6+rJmzRra29v54x//SGNjI5WVlRw7doyioiLCw8PJycnhqaeeoqenh/Pnz1NeXs7AwADd3d1UV1fLBiquOHXqFFlZWcTGxrJ48WICAwOlh9IdxuvIyIg80ywWCxcvXiQwMJDc3FwZ+he6QLBhdHZ2UlpaytmzZ2XXQnA4TJKSkpgzZ47M+xQXVnc3RBGy5cp4YLFYMJlMTo09xD51LeQGh46qqqp6aH21Wi0pKSkPRTfdASUvcl1dHR9++CHHjx+XTsX+/n6io6PJycmRhqugvRvvtEK3Gq9KReLaIlTwpn1drog7ofSMhIWF8dZbb5GXl0dDQwM3btzg3LlzVFZWYjKZnDx0yu5EjwOdTkdMTIzk1AwNDWXhwoWsXbuWrKwsQkND+Yu/+IsnPj+lUdfb28vdu3fp6upCq9USFhb2ULGK0qv5OF003LWWVqtVbqq4uDgnhdLR0cG1a9cIDw/HYrEQGhpKWVkZR48e5dSpU9TX1wPIXu9Kr6tI+xCV7hkZGWRmZjoZeBPtMVA+Yx8fH0lvNTo66kRBJMZYVVVFQUEBnZ2dsu2o+J6x1lP5LMXcx+pdPt6wWCySdk6MMy4u7hs9dV8H8exENfX06dOJiYmRB5Iy/D2e+DahN39/f2bNmiVbGs+fP58TJ06Qn59PY2MjtbW1fPDBB1RWVvLuu++yfft2dDqdvFSPh1GgrEY3mUx89dVXfPDBB1y5ckV6EH19faVB0NXVxblz57h48SIhISGEhobKVBSdTkdYWJgTDZiASqVidHSUe/fu0d3djcViQa/Xk5mZ6dS2cyL0jniO4qI8d+5ctm7dSkFBAY2NjZhMJkpLS7l69SrgYPUoLi6mvb2ds2fP0tPTI3XM16U8DAwMcO7cOcDhDFm2bJmT8ToRUD5PX19foqKiCAgIYHBwkDNnzlBUVER2djapqamSAUTkO3d3d1NYWEh5ebnT3gUH28b8+fNJTEyUv/OE1qiis9RYl+eqqiqam5sxm80y1Ux0Bps1axY5OTlO54HgCBcXOHAYuatXr2b9+vUytcudkU1RaAdw9+5ddu7cKWkhweEdnz9/vmSGAmS76fGGW41XV+9GSkoKZWVlwAOL31NCBK5wFSbhjRwaGiIzM5Pp06fzxRdfcO3aNSfCdteE7tDQUCnos2fPlgbP8PAwNpuNqKgoEhISiI6OlqwG8fHxTjlA4wGl8FVXV5Ofny9zGc1mMwMDA07ezJGRERlGHev5eAqUMhceHs6SJUuorKzEZrNJAv/Dhw9TVFREYGCgpMMShivwkNdS6WkGR0VxdnY2mZmZMgfWXfloykKymTNnkpaWRm1trcwzzMjIkOHZwMBAoqOj0el0tLS0UFhYyPLly2WRjSgW0mg0D6VMKHt2TwRtj3Ida2trqaqqkhGInJwcXnrpJac98m3zr5Seq9raWg4fPszZs2cJCAhg9uzZsrvOk855/bYQBo4oqPDx8cHPz4/MzExJy3Ts2DEOHjxIUVERPT09HD9+XHKNzp49e1zHp6RLGx4e5uLFi07deFx5WAX1IDhSeYQnTkDZVOSboNfrCQ0NdTIYJhJKmUhPT2fbtm309PRQUlKCr68vcXFxjIyMMDw8LL2tfn5+xMTEyM+mpKSwYMECAgMDpYEn9p/JZCI/P18ywSjTZCbKeFV616Kionj77bfx9/dn//79tLS00N3dzenTp7l06ZKMQgl5VUYeExMTCQoKoq6ujoGBAUJDQ8nJySEpKUmmtogIoLvg2lChsbGRK1euUFVVxb1792hqaqKmpobBwUF5+RD0mDNmzGDGjBmYTCaSkpLYtm0bfX19nDp1Snas1Gq15OTk8NZbb7FhwwYnikZ32UFKGVYW5Op0OmbOnEleXh7PPfccycnJWCwWmbozEfrQrcarMpQXFhbGM888Q29vL1evXqWtrY2Ojg6n6mVPNYjgQacdf39/srOzZQ6luF2LsLKoXA4ICCA8PJxp06ah1WoJCAjgqaeeYsWKFQQFBck82ZCQEKKiopyqU4GHPH/jhZGREaqrq2VlIThumdXV1cybN4/AwEC0Wq1TrlV/fz99fX0MDg4+5DkQz8i1ecNEQWnEhIeH8/zzzzM0NMTJkyfp6emhq6uLzs5Orl+/PubnhSIJDw+Xeb9VVVXSkxkeHk5WVhZz586VCsedRVtKT2hSUhKzZ8/m6NGjXLhwgdzcXNkBxW63ExcXR0ZGBn5+fnR1dcnDZazD31WhChL/yMhIedESGA+Pnvjb/f393L1718l7sWTJEjZs2OBER/RdjVer1cq1a9f4l3/5F8rLy5k5cyapqanyfe5OZRLFlEqIvObIyEiWL19OQECArMovLS3FZrNx/fp1zp8/T3h4uKSjGo/8V1edLTrw2O12yRAwMjJCSEgIMTExDA0NMTAwQFJSEmFhYdTW1sq1VdYHCLkWHn+r1crIyIhkBoEHBTXu2n9KmfP392fDhg2MjIxw7tw56awROazKlrK+vr4MDAxgsVjIyspi2bJlhIWF0dPTg81mIzAwkNHRUe7cuYPJZOLmzZtYLBYnQ3+ijB2xt0dGRggICGDt2rWEh4fj6+vLiRMnaGtrk+vQ09MjozV+fn6EhIQQHBzM8uXLycnJob6+ns8++4yBgQHCw8OZN2+e9OgJD747bQBR52IymaipqeH06dPs37+fS5cuOV0cBJTON/GZvr4+pk+fLtf35s2b0jkQGhpKRkYGeXl50tA3mUyP3ep5PCAcG/fu3aO5uZmAgAA6OjrQ6/Vs3LiR119/nYULF8p5TqQ+dDtVFiB7rW/fvp3BwUEqKytl4npdXR2LFi1yyrebDBhrkwnFk5GRwdq1a1m4cCERERHSoIuOjiYiIgJfX18nIuRHYaI8PhaLReYjWywWGv//7P13eNRXmuiJf0qlKlUp54BQFgqAkEQS0WSMgMbG2DS229PuMD09NWF7Zu7dvb+b9s7eZ387c2enpydV97iD07QDNsZgDBgwIpqcJIJQzllCWZW1fxTn+FuFcEKoSuX6PA8PoCpJ59Q53/e8540tLTQ0NDAyMuISlzM8PMydO3e4cOGCi4sMPr+oWK1W0tLSeOqpp1i/fj1RUVFTarlSKpTh4eGsW7cOvV7PjBkzuHHjBg0NDV9o3QkKCmLDhg08//zzJCUlcebMGV5//XWpvObk5LBixQoXV6UnkwyVwkSlUhEXF4dKpaKyspKbN2+6JAIqQwXUarVLvO5ECKW2vb1dtnkW/cvVarUM6H+ca6tMYBSIOSmfna+6x5TJk+Pj47S0tHD79m2pGAi3qMDbZNJETQby8/N54YUXSE1N5aOPPuLUqVNcu3aNY8eOMX/+fKm8CivpZKJ09er1ejZs2EBKSgo6nY7IyEhpsRflx4QCKkIGhoaGqKiooKqqiqCgIBITEwkICKC/v1+2+RVdrG7cuEFtba2Mx/MWY4e4FKSkpLBjxw5WrlyJRqMhMjKSgIAAWRFBxI2LutlCRomEyZiYGNlRDpxJTkL5MZvNXLhwgezsbBYsWCCts0qv3+PEvdnLn/7pn1JcXExDQwMqlYrBwUFqamoYGRkhMTGR2bNnExcXR0REBHPnziU+Pp4jR45w+PBhurq6CA4OljGUItnJU3JUGcNaXl7O7t27OXnyJG1tbTKWXLBmzRpZjzkxMZHs7GzCw8MJDg6WrbPv3r3L4cOHuXbtmvxe5Ry9QaYo5zwyMsKlS5dc2qCHh4dTUlIikz89cbnweOq+yArW6/UkJiayYMECEhMT6ejooLu7G7PZ7BUWrC9DKaRFvUFlYWXhcg0KCiIvL4/NmzezaNGiCX+WMsHFPQFKWLzUavWU1FnVaDSkpKQwZ84cysvLsdvtMsBcHHpVVVWUl5fT0tLCjRs3OHHihIslzJ0zZ87IA2rFihVSCZrqJAOVylms/4knniA+Pp6qqiru3Lkj5yISsjQaDcnJybKn/IYNG9ixY4f8GUePHpU1+nJzc1m4cCHR0dETKlFTjfvnmZqaSm5uLpcuXeL69etUVFSwaNEieTDo9Xri4+MZGBjg6NGjBAUFyTI3wp0rlIjg4GCqq6v55S9/ybFjx5g3bx5r1qyRF5rH6VIXn61Op3sgBk0onmLtvo5QFT9HhHtcuXKF06dPYzKZSElJYcmSJS4WXW+Iw1OizGQW2c1qtVp6SXp6erh8+TL37t3jxo0bVFRUkJubS1hY2OPpgqNQOPR6PU888QQlJSVoNBrCw8O/0vM+f/587ty5I2OPAwMDpdKg0WhkB0CAtrY2qbx62lInUDYbSEpKcrnYfhVEnoSQR0Lut7e3S5ez2Wymurqa2tpaiouLpYt9qmSqKOFltVrR6XTk5uaSlJREe3u7rOdbV1fH6Oio9PBER0e7jC0yMtLlTBNr52nvhmi2As79tXv3blmcX6fTyUoPa9asYdmyZYSFhWG1WklMTGTmzJmykoTg3Xff5fe//71UXCMiIhgYGJAW6qluZzwRoia5SuVsMlBXV8f169elJzwpKUleLsBpIZ7Mpi1fBY8rr+6JAjExMeTn53P9+nWZ+OMt5bG+COUhLZRL5bzEoSjmp+yc4Y57IpR7APRUbBD3eK2VK1fK27PovQzOJKdf/epXfPTRR/T29mIymaSVNjQ0VMbUtba20tnZKX/myZMniY+PJzc3VwblK2vJPW6Ua6PT6SgoKKCgoICBgQGqq6tpbGxkYGCA4eFhIiIiWLhwIRkZGTL2UxAfHy/rEKtUKuLj46VlSVmQ3VO4Z+fOmzePzZs309TUxJUrV3j99ddRq9XMnz8fgLlz57J161b27t3L66+/Tk1NDYsXLyYoKIje3l7UajXJyckUFBQQHR3Nhx9+yGuvvUZkZCR/8id/Qmlpqfxdj7NAtbjgCQue0kosamTC1784KK2WLS0tnDlzhrKyMsB5MXnyySflnvZ22aSMQRaHorLsXltbG7dv36a+vp7Zs2e7JKE9rvJfX2bNnwidTse8efOAz9dT1GFWXvJv3779QAUMZY7BdEVZdstdboWEhNDf3y+VDHdPx1QqE+4XufDwcJeSg1lZWXLNhNdVudcsFouLAai1tZXs7GyPy1Blm3T3Ckg6nY5Fixbxl3/5l2zcuBGHwyFrtE4Uo3vo0CFef/112tra5NdEBzahC3mD5VW5jv39/bI1tcPhICEhgTlz5rjUzfZETodXSF5lbFBCQgJr167l2rVrNDc3c/XqVZYtW0ZeXp7X1LCbCPfM7oeZ//Py8lizZg0pKSkuxadFBrO7tUD8e6o3hnLssbGxZGZmSova2NgY586d4+c//znt7e188MEH0tUeGxvLkiVLmDVrFhkZGWRnZxMcHMylS5fYs2cPra2tjI6O0tnZyZkzZ3jppZek8uoJy7qyEw84LxcxMTHk5eUxMjKC2WyWiUxKREtYtVotY3eFMiPe6w371D1rPjMzk9LSUq5cucKBAwfYvXs3YWFhREZGkpmZyaxZs/jpT39KdHQ0p0+flrFqERERBAUFSQtEeXk59fX1XLp0iYKCArZu3crWrVsJDQ2Vyv3jVOyUn2tOTg7PPvssNpuN8vJyDhw4QExMDLNmzZKx4mK9HoaImxQ/t7GxkYMHD7rEPqekpFBQUEBwcLBUAr1ZeRWhIOBUDE6fPs1nn30m9/zw8DA2m42wsDB5QX7cmc1CmRRWwYcVYFfW0FQ2CVGWG1QqNCKO0pvXA5CNPpRGG/ckXmV1D2EIEf8Wl/t79+7R3t7uUjItJSXFJdnLE1Y7cWEQ3e6UCbzuhomRkREcDgdhYWEP1GUeGhqirq5OXpInUnYfN0J+i66JV65c4eLFiy7nVGZmJlu2bGH16tXAg7WGLRYLQ0NDdHd3c/nyZd544w2OHTsGOPesSHYW7x0YGGBwcFD+/KleQ7HvxOfd0NDA0aNHOXfunCz/mZGRweLFi2U4C3imO6hXPOnKG3J8fDyLFi0iLy+PyspKTp8+zdKlS8nIyECv10vTuqeVAneUD9XDhLJKpWLmzJkySUbcVL2xzap7JYjU1FQXd2lZWRmnT5+WMWrh4eHMmzePJ598kk2bNklLjrIs1YULF1xaslqtVpdbrCeErXtcpBhHZGTkA+4eIcxEGR5wHkbCTRkSEkJCQoJLLLc3uC3B1fVWUFBAaWkpTU1N3Llzhw8++ACLxcLWrVspKioiOzub73//+yxevJiuri5psRPr1d7eTl1dHbdv3yY5OZk/+7M/Y+3atdJ9PxUKhDJBIDMzkxdffBG73S7j5f/93/+dJ598kjVr1gB8YXKjiAsUGcJNTU0cOXKE999/n/LycgIDA5k3bx6LFy+W1gZvWdeJUCqh4t+3bt3ik08+4fz58/KwDAsLIysri4yMDMB5eD5uz4dSOf4m1jTluitlrkjYUnpFvNHq+rBOYV+GMhbbbDZz69YtqqqqpKIjwrsSExM9qryK3/tVzjSdTucic5VWR5PJRGdnJ/39/bJO71SvpRjLyMgIN27c4P333+fIkSMybC4yMpJVq1axZs0amUQolF3B+Pg4tbW1HDp0iI8//pjy8nK0Wi0ZGRkkJiZis9kYHBykubmZ/v5+6fUTbeM9URtc6dFoaWnh8uXLLvkRE+0vT7Sv9QrlFVwFTUhIiLTwiOYF3iaEvgmiPEh7ezvp6elTUlLomyIeRkC6zdesWUNzczN37951iecNCAigqKiIF154ge3btz9gpRQ/T3TKET9zwYIFLgqxp4tPC2ua0tohsNlsMkFESVtbm2xluG7dOoqLi+Vr3hJzB65W0ODgYLZv305ISAjvvPMOn332Gb/85S85c+YMq1evZsmSJSQlJcmEmvb2dqqrq6moqKC2thar1UpsbKxUglevXi2Vnqm+WIque6KNdFRUFO3t7XR1dfHOO+/INrGhoaGy5qJOp5P7W1jChPV8bGyM48ePc/DgQW7cuMHY2BjZ2dn85Cc/Yfv27dLqOtWC+qtanIQCJ6yQnZ2dnD59mv3793Px4kUZ0pOYmMjmzZtdum15m0FAiZBFymYoSkXYvXSb+Jo3KrDfBOX6m81m+vr6pCwVzJgxQ8bTij3qafkjPnvlWjwsDMB9PUVJralG7CUhM8+ePcurr77KuXPnaGpqkpVZnnrqKbZt20ZqaipWq1W22VbK2srKSt5991327Nkjyy0uXrxY1oUfHR2loqJCtuRubW2lt7fXYwlq7mGc2dnZzJ8/n1OnTtHe3g7A3bt3OXToEPn5+cyYMQN4PMmeX4bXKK9KLBaLtMiJ0iG+QktLCzdv3iQ+Pt5j9Qe/CTNnzuTpp59mYGCAN954g/b2dlmmRijhKpWK4eFhAgMDGRgYYGRkhICAADo7O/nkk0+4efOmLOK/ceNGnn76abn5wfOJTRMd3kqLh/s+bG1t5cqVKzQ2Nkq3nbKbjzcpA+JQEDVnk5KSeO655wgLCyM8PJzTp09TXl5OR0cHFy9eJDIyktDQUKKiolCr1dTU1HDz5k16enpITEykuLiYXbt2sWjRIoKCguTPfdz9rB+Gw+EgIiKC/Px8hoeHGRkZYe/evTK5LC0t7YGwAWXsHTjX+tKlS3z88cecOXNGduiaN28epaWl8lL2ZSEIjwOlV8f9kBdeHpVK5bIGzc3NlJWVyQuKsk31ypUr+cEPfsCcOXPkweOptfsquD9L7rIiMDCQoKAgF4ufSGpVvtfTytw3RRmCNDo6SktLi0sZybi4OGbMmCH3pScuWBPxZVZgpXKqTEwWnhBPzMG9usFnn33GO++84/KevLw8XnzxRVasWPHA946OjnLv3j3u3r3L7t27ee211zCbzSQmJjJ37lzWrFnDzp07pTyZO3cuQUFBsmucaNrhicoDyvhjjUYjk+iVZS37+vq4du2aSwdDUQLtW5Ww9WWILH1fuD2Ds1tVT08PIyMjUnn1ZJHzL0Jp5QgICCA/P5+tW7dy48YNGW8lynqVl5djNps5f/48YWFhjI6OYjabGRsbo6GhgZqaGlk3dMGCBWzbto01a9bIeCdPB+VPhNJqICx1SpfKzZs3OXfuHMPDw1itVm7evElNTQ1z584Fpt4K+VVQxjYGBwdTWlpKZmYm69ev59KlS9TU1NDe3s6VK1cYHh4mLS1NZgZv2rSJ5ORkCgsLmTdvnsz8Fp+JJ/ax+H1arZb8/HxWrVpFd3c3FRUVdHd3c+HCBU6fPk1kZKRLgoE7NTU1XLp0iaNHj3LhwgX6+/sJCAigpKSEDRs2yKYE4NnSZ+64X0oE3d3dfPTRR7zzzjtUVFS41BKdP38+GzdulB1/hIz1tufvi3Dfa0FBQURHR7vE4bkr+tMZpSVwcHBQyhpwut/z8vJcDAHT4bycKKxOKK+i5bqyxqkyFngqEQlVgIx/1Wq1LmFlZrOZ/v5+2WnrypUrXLlyhePHj2Oz2UhKSuKnP/2pi1dLEBUVxdNPP01MTAydnZ0kJyfL0DRlXPRU7mPlc2MymVzC+4AHLoqeWBfvkcK4BguLDyYsLIzQ0FCvtgpMhLCIuDM2NiYLFCvfC95rFVC60wsLC3nxxRfRarXcuXNH9uC+d+8e58+f5/z58w/9OXl5eaxYsYJVq1axatUq+QB768Hpvh7uymt3dzddXV2ymP2NGze4e/euFDTe6LJUKjuiJ3xRURG5ubmUlJRQXV1NXV0ddXV19PX1ERMTQ3Z2NmlpaaSkpJCVleWiIAirnaeUdOXvzcjIYNWqVTQ2NtLY2Mjg4CBVVVXs2bOHnp4ecnJyCA8Pl1bl0dFR2tra6OjooK6uTu7fe/fukZiYyIYNG9i4cSOLFi1y+T1TLYvsdjujo6NoNBp5mIuLkbj0CYubaPF7584dzp49y+XLl2WoQEBAAEuXLuWll17iySeflJfnqWrnOJkoLc+iysecOXMoKCigubmZnp4eTCaTrAcr8OZyi1+Ecn3MZjO9vb2ytrSIz59Onjx4UBnV6XTy2RIdnERVnqmuI6p83kXycX19vYwX7+zs5Pr16wQGBkora11dHd3d3YyMjNDX10d/fz/Z2dnExsayefNmtm/fTmZmJuDch8ITEhISQkxMDE8++aSs6OIuYzyZsK3RaMjMzOT27dty/larlfr6eumFEqFYU4lXKa9i8srC42azWWblTyceduPXarWyELXyvd6MMtMzLCyMZ599luzsbE6cOEF1dTUtLS1cvXqVnp6eCb8/MjKSkpIStmzZwoYNG8jJyZFJeuDZcIGvg/s6BQUFudyOBwcH6ejooLOzUxZT9zbLq8BdOOr1egoKCpgzZ45U0pWJPw9r++ppK6QyKSkoKIjZs2fzne98B7PZzKFDh+jr62Pfvn2cP3+eqKgoYmNjycvLIzMzk5aWFs6ePUtbWxsBAQGMjo4yODhIUFAQmzdv5s/+7M+YO3euR9ZQ6fYdHh7m+vXrBAcHU1xcLA9x5dzBGX/96quv8vvf/16G9YgM7rCwMObMmcMLL7zArl27pBXak62LJwNRj1Kj0TBnzhwKCwu5evUqXV1dOBwO9Hr9hLVDpxvu1WyUip6yBvh0wv3CJKoUgPPMyM3NBZzzE270qcDdC1hSUsLOnTvZvXs39fX1AHR0dPDWW29x9epVhoeHOXfuHC0tLaSmplJYWEhxcTExMTEkJiaSmZlJWlqabAWvXCflZ6DX611qp3oLs2bN4plnnsFqtVJWVsbIyAgDAwPU1tZSXV09JWX2JsIrlVdlkd7KykquXr3KunXrXDpueBvu5a1EvJWICxWLm56ezpw5c2SikreGDEyEcF3pdDpKSkqIj4+nq6uLgYEBmRkKyDmPj4/LYuSpqalkZ2e7uLa8JS7rmyLi7JTxiG1tbTQ2NhITEzMtvAVKl7HyzxdhNpvl2nrD+imfn+joaJYtW4ZKpcJut3PgwAGGh4dlnUKAS5cukZ6eLusXKklOTqakpISnnnqKoqKiqZyGC8oEiIGBAT799FNMJhNWq5WioiJUKhUmk0n2U29qauL27ducPn1aJoaA87NZsmQJq1evZuHChSxatEgqrt5Qyu1RUa69qJ4QFhaGxWIhMzOTzZs3k5WVJd8zHZ7JL0OUzBKKkLsyO51QhmY1NTXJkoszZsz4RjWBJwN35TU/P59du3ah1+u5ceMGDoeDW7ducejQIVpbW4mJiaG2tpbo6Gi++93vsnr1all/esaMGdJbIhLBlIl04gIqPCne8jwqq3pER0ezbds2AgICGBgYoLy8XLZAT0pKIjAw0CX3ZarwKuVVbGSdTufimuzq6pKuL2/FvVSWxWLBZDLJW7Eo4SKaFAQGBkrFwRtLZU2EUMBFLFlmZqZ0g3xVRDiFqIU7nREdb5QMDg7S3d3N2NiYR2oTfl2Ua+Bee1OMWwgl8fdUNZL4uoiQjvj4eJYuXYrZbCYsLIzKykra29sZHh7G4XAwOjpKZWUlAQEBhIeHo9VqCQkJITMzk5KSEpYtW8aCBQvkz/VE7KQyc95kMnHz5k1u3LhBT08PK1euJCYmBpPJRFVVFZcuXeLixYsuirheryckJIQ5c+bw7LPPsmPHDpmJ7p65P51RzsFut5OamsrixYsZGRlh3bp1bN26laioKBkmM13nrDTYWK1WxsbG5JkyNjZGT08PQ0NDE1Z6mQ4MDQ1RW1srKygkJye7KHieWDdlGGNRURGhoaFs2rSJkZERDhw4wKeffsqcOXOkUSYvL4+f/exnBAcHSyuyVquVslQkY7kjEoK9EVE+Lzw8nDVr1tDb20tRUREFBQVs3LhRGuFEwtZU4jWfmDI+MCkpiXnz5rFkyRLsdjsLFixwCXD2VkVAMD4+jsVicQn0VqIsau+NVuQv41FuWe6K0XRjouxYIXiEgjNdEwyV5WyUe1P87Ynb9ddBOa7Y2FjWrFnDggULGB4epqqqiubmZsBZePv06dMALFy4kLS0NOLj48nLyyMrK4vw8HBZg9JT8ejKwzooKIioqCj6+vrYs2cPZ8+eJSIiArVazcDAAN3d3Q+E7OTk5FBaWsqGDRsoKChwKUk3Hffmw3APv0pLS+OHP/whTz31FImJidII4g1lox4F97EHBASg1+tlbOWNGzeor6+XVubpoKQrZUl7e7u8fIWFhREbG+ui0Hli7dx/p3D/22w2UlNTeeaZZwgPDycsLAyTyURERISMO1bWuhWXxa9y5nlb/ot7A6kdO3YwOjpKeHi4y0XJE8q31yivysUKDQ1l+fLlhIaGotVqZZcN8T5vcFW64575KpoR3L59G5PJJN0Is2bN8viN8lFRWmBFMpdQ5JTJSvC5QidKTXnj2n0d3N2UERERsuatKLESFhbmYp30FkH0ZXiT2+qboPycAwICiIuLk0rbvHnz6OjoIDAwkI6ODubNm4fVamX27NnMnDmT2NhYl2oEynhfT6A8NKKioti6dSvDw8McO3aMqqqqB94fGhpKTEwMUVFRsgPO1q1bZeULUc9WtK30RQICAggODpbte8HV0zOdUSoH8fHxrFy5ks7OTtn1aDpemIWsMZvNtLS0yGYvycnJxMbGek2sstJyKpoQZGdnk52d/cB7LRaLfM7E/L7O3vO2s0LMQSTMKcP+xNc95dHwGuXVffKzZ88mOztbbhblBvDGA1YobCIMoKCggO985zuoVCp6enqIj48nNzeXpUuXurT7m24CR4lQSsfHx78wY/nLav1NF9wvGykpKcybN4+7d+9SWVkJOMNC4uLi0Ol0PuWene6oVCrpNo+JiZF91kUdafe96em9KmSEw+EgPDyczZs3ExERQUJCAhcvXqS6upq+vj7A2UM+OzubhQsXsmFUGxSnAAEAAElEQVTDBhYuXEh0dLRL9vl0dpk/Ct5q7Pi6iLPCbrcTHx/Pzp07GR0dpbGxkdHRUTZs2PC1Q7g8yUR1a9vb29FoNOTn55OdnS0vcJ428nwdWaDRaB5IqPQFHvYMedKj4TXKq0As9kRF4aeTq1mj0bBkyRKio6MZGhoiIiKCGTNmEBMT49LvebrMZyJ8RSn9qrgL0LS0NLZu3crMmTOprKxErVazbNkykpOTgW/P5+KtiNhzu90uM9KFBcW9rJDdbpcxhO7VQDyJkIdBQUEsX76cmJgY1q9fL6taWK1WIiIiiI2NJTMzk+LiYkJDQ+X3m81maQD4NuxHEWsoLEXTJZ/gqyL2Q3h4OKWlpYSEhKBSqSgqKiIlJUW+z1v278NQKnUWi4Wenh4aGxsJCAhg2bJlLFu2jMDAQCwWi8eaFShRlmYDZFt0YY0VcsW9UL+vPHNiHiJPR8TvenJ+Xqe8ftGH4e0bwf2WHxERwaJFizw4Ij+Pk8jISBYvXuzSYlOJt+9XXycgIMClyDk8eAiJ/3+VKgueQJn1GxQURGFhIYWFhV/4Pcq5eWty3eNCxBr6mtIKzrkpk0BnzZrFrFmzJnyvN+7lh6HRaIiOjiY7OxudTsfy5cvlPIXy6i0IeeGre+zL8KbEMu8ZiRsi6xmmXyyeMkbGjx8/3oWI1YbPZYs3XzQmKrHzRVgsFqnoePO8/HwzxNk4kSIxXbyTyrMxJCSE5cuXyzqos2fPlq99GxVEP1+Nr628GgyGxzEOr8HX5we+P0dfnx/45+gL+Pr8wPfn6Ovzg6mf48GDB6f094Hvr6Mvzs9vGvTjx48fP378+PEzbVD5SjacHz9+/Pjx48ePH9/Hb3n148ePHz9+/PjxM23wK69+/Pjx48ePHz9+pg1+5dWPHz9+/Pjx48fPtMFjpbIMBsOzwCqgCCgEwoDfG43G73lqTJOJwWB4GXj1S97mMBqN06cg3xdgMBhWAj8DlgHRQB9QAfzCaDROffroJGEwGFTAD4CfAHMANXAX59r+q9FotHtweJOKr64hgMFgmAn8X8AmIAZoBz4E/tpoNN7z4NAmBYPB0ACkPeTlTqPRmDiFw5kSDAbDS8Ab9//7h0aj8TeeHM+j4uuy5lswvxhgO7AFKACSAQtOGfoq8KrRaHR4boSTg7fobp60vP5X4E9xfgCtHhzH4+I68NcP+XP8/nsOeWRkk4zBYPivwCngCeAw8PfAR0AUsNpzI5sUXgd+C2QA7wK/BrTAPwLv3hfI0x5fXkODwZAFXMF5cF4E/gGoA/434Nz9Q8cXGGBiefP/enJQjwODwZAC/DMw7OmxTCK+Lmt8fX7P4ZxTCXAB+AWwB5gL/AbY7QNzBC/R3TzZpOAvgBagBqcWX+bBsUw6RqPxOk4F9gEMBsO5+/98ZarG87gwGAzPAf8TOAY8YzQah9xe13hkYJOAwWB4GngJqAcWG43Gnvtf1wC7gR3A94HXPDTEScGX1/A+RiAe+HOj0fjP4osGg+HnOOXQ/w381ENjm0z6jUbj//D0IB439xWAV4Fe4APgP3h2RI+Or8saX5/ffaqAbcDHSgurwWD4zzgvzTuAZ3AqtNMZr9DdPGZ5NRqNZUajsdpoNH6ranUZDIa5wBKcN5aPPTycR8JgMAQAfwuMAi+4Kz0ARqPROuUDmzyeuf/33wthC3JO/+3+f/9sykc1ifj6GhoMhkxgI9AA/Kvby/8nMAK8ZDAYQqZ4aH6+OX8OrMVpSR/x8FgmC1+XNb4+P4xG43Gj0fiRe2iA0WjsAH51/7+rp3xgk4y36G5e2x7Wh/mj+3//drrH+OCMjcwA3gfuGQyGLThdJCbgotFoPPdF3zwNEHGCdRO8Jr4232AwRBqNxv6pGdKk4+truPb+30cmOFSGDAbDWZzK7RLg06ke3CQTZDAYvgek4lTqyoFTPiBnJAaDIR/4G+AfjUbjKYPBsPbLvmea4Ouyxtfn92UIA4DNo6PwIfzK6xRiMBj0wPcAB84YmOnOovt/dwJXcQapSwwGwyngWaPR2D3VA5skhIUgY4LXMhX/zgPOP/7hPBZ8fQ1z7/9d9ZDXq3EqrzlMf+U1EXjT7Wv1BoPhB0aj8aQnBjSZGAyGQJzzawL+s4eHM9n4uqzx9fk9lPv79g/u//ewJ8fiS/hLZU0tO4FI4JDRaGz28Fgmg/j7f/8U0APrcWYezgU+wZn8855nhjYpHLj/918aDIZo8cX7wuivFe+LmtJRTS6+voYR9/8eeMjr4uuRj38oj5VXgXU4FdgQnJeQfwPSgUMGg6HQc0ObNP47UAy8bDQaxzw9mEnG12WNr8/vi/gbnPL0oNFo/MTTg/EV/JbXqeUn9//+N4+OYvIQZb5UOK1zN+7//5bBYNiO09q1ymAwLJ2m7ud3cFrKS4HbBoNhP87Y0PVAFk6r3SxgOrtlfX0NvwyR/TutY++NRuNfu33pJvBTg8EwDPwV8D9wlvGZlhgMhsU4ra1/76P70Ndlja/Pb0IMBsOf43z+KnEmrPmZJPyW1ynCYDDMxhlf2AJM65qZCkR9zDqF0gPAfcuIuGUuntJRTRL3YyS34cxm7sApfH6Icw1X4Mx2BujyyAAnB59eQz63rEY85PVwt/f5GiJR5AmPjuIRUIQLVPF5co9P4euyxtfnNxEGg+FPcJYBuw2sMRqNfR4ekk/ht7xOHb6UqCW4e//v/oe8LhQj/eMfyuPBaDTacNY8/Xvl1+/HLxcBY8CtqR/ZpOHrayjml/OQ12fd//thMbHTHaEMTOdqCqF8vn4mg8Ew0Xt+bTAYfo0zketnUzWwycTXZY2vz0+JwWD4Gc560jeBdUaj0WeUcm/Bb3mdAgwGgw7nTdOBs0izr3AKZ/bkLIPBoJ3g9bn3/26YshFNHS8BOmD3dC4lhe+voahBuPF+WTCJwWAIA5bjPDR9KklEwdL7f0+U5T1dMOOUmxP9uXb/PWfu/98XQwp8RdY8DJ+an8Fg+D9wKq7XcVpc/YrrY8CvvE4Nz+EMRD/oI4laANyv1/cuTpfsf1e+ZjAYNgBP4nTHTtsMS4PBED7B1xbhDMIfxtlydNri62toNBprgSM4E5f+xO3lv8ZpkXzDaDRO23qhBoNhjjIJRvH1NOBf7v/336d2VJOH0WgcMxqNP57oD7D//ttev/+1dz051kfB12WNr88PwGAw/Dec87mC0+La8yXf4ucb4rGwgfsdN56+/19RA26pwWB47f6/e4xG47TvnHIfkag17TtqTcBf4myH918MBsMTODuJpOFMDrHj7Dne77nhPTJHDQbDGE73zxDOntybcVqDnjEajdPZoiXw9TU0AJ8B/2QwGNYBd3DOdw3OcIH/4sGxTQbPAf/JYDCU4exgNIQzCWYLTovWQXywRawP4uuyxqfnZzAYvo9TAbcDp4E/nyDEpcFoNL42xUObVLxFd/NkzGsRznZwSjL5vOZbI77R9i8fZ0C6LyVqSYxGY5fBYCjB2e94O85i70M4u4f9P0ajcbq7Y98HduHMlNUDbThr9P6N0Whs8OC4Jg1fX0Oj0VhrMBgW4jxYNuE8MNuBfwL+2gcSKcpw1rMtxhkmEIIzhvkMzkSnNz3dDcfPV8LXZY2vz0/UsFUDP3vIe04yvVvggpfobqrxcb9M8+PHjx8/fvz48TM98Me8+vHjx48fP378+Jk2+JVXP378+PHjx48fP9MGv/Lqx48fP378+PHjZ9rgV179+PHjx48fP378TBv8yqsfP378+PHjx4+faYNfefXjx48fP378+PEzbfjKdV4NBsO0r6llNBpVD3vN1+cHvj9HX5gf+P4c/fvUt+cHvj9HX5gf+P4c/fvUd+fnt7z68ePHjx8/fvz4mTZ87Q5bRqPxcYzjsTJBi7aH4uvzA9+f43ScH/j+HP371BVfnx/4/hyn4/zA9+fo36eu+OL8PNke9luDxWLBYrEAoNVq0Wq1Hh7R1DA+Po7NZsNutzM+Pk5AQAAqlYqAgAACA/1bz48fP4+Ow+HAbDZjt9vRaDRotVpUqi/0Fvvx42ea49cgpoBvk8LqcDgAUKlUqFQqNBoNGo1mwveOj4/7DxkP4HA4cG8LPdE6iK/518iPNyL2cEBAAHq93sOjeTTGx8dd5uNnYtzPFz/eg/u5IoxVjwu/8voY+SLlzOFw+KSQElZWtVqNWq3+0vf6LbBTi91ux2azYbPZpKAR1nClsBGHw+MWQH78PAq+cgF2OBxSdmo0Gp88GyaDr3O++JlalOeKSqVCq9U+1vPd45qDw+Fw+SMICAiYthtUqRTY7XYaGhpoampCpVKRnp5OWloaAQEB8rYtBJXD4cBmswFMq7mPj4/jcDhQq9UuVlaTyUR/fz89PT3Y7XZ0Oh0ajQa9Xk98fLzc2Ha73WvnqtybQqFTrptarZ5Wh6fYV0FBQV/5e5T72Y/nERcQcUiIi8e35aIh5i3+DAwMUFdXx9DQEElJSaSkpKDT6Tw9zK+Fu7z3FaV8shDGnod58byd8fFx7Ha7i56jVqsJDAycNus8Pj6O1WoFkHtVXCaCgoIm9DDbbDYcDgeBgYGTfiHzuPKqnJBQDMTXp+vt02q1yrhOu93O7t27+cUvfoFKpeIv/uIv+Ku/+isCAwPlASQWXBxE4t/TBXcXzvj4OM3NzVRXV3Pt2jUuXrzI8PAwiYmJREZGkpGRQWlpKdnZ2QBS8fVG3C2Q7srrdFqnb8q3YY7TCZVKhVqtlheqb5PiCq6Knclk4uTJk/ziF7+gvr6el156iR//+MekpqZO+H4/05Ppvn7iOVUaq6bbM+uunyjPwofxOPUZjymvVqsVlUolNfIvUlSnm/BRWpABKioq6OrqAqCyslK+7r7w4vNQ4u1zVx6gg4ODVFVVUVFRQWVlJZWVlZSXl9PQ0AA4Y38jIiLIyMigr6+P7du3M3fuXHmb9oZQCpFkJtx3QlH4IsR6enrsE+FuNW1ububWrVvU19czPDyMWq0mODiYiIgIYmJiCA0NBZw36qCgIJKSkkhMTJy2Fg9wtZ7b7XbsdrvLM6VMIvTmMBZ3S+tEiARJcbCI/eutl8NvgkqlwuFw0NfXx5UrV3jttdcoKysDoK6ujpGRERe56Y0yVDkmi8VCU1MTlZWVjI+PU1RUREpKCuBcT2/ekwJhYRMyc7IQXjlhYb969Somk4msrCxSU1O92sLucDiwWq3SMvmw59Zut3u9Ijs6OkpwcPADe1H8f2RkhJMnT3L37l3GxsaIjIxk0aJFLFq0SM7ZYrFIHWcy5uqxp0IchkpzunvQuhC63ryoX4bD4XB5wLKysh56G5kobMBb5648SMfHx2lra+Ps2bMcOHCAkydP0tTUxPj4OIGBgWi1WgICArDb7XR3d9Pd3U1nZyejo6P89Kc/JSMjA/j8IfYkIslMIJQe5b4UYRJij3p6zF+Eu/La2NjIe++9xwcffEB/fz8AOp2OpKQksrKyiI2Nla6g6Oho8vPzWbx4MQUFBYSFhQHeccn4OkxnL44SsYZCTigvjkJWeLsC/igoFZnh4WFOnTrFv//7v7N3714AkpOTKSoqkhcwgTfKUJvNJuXMvXv3OHbsGHv37iU4OJif/exnUnm1Wq3TYj0f1xgtFotMxuvp6eG1116jurqap556ip07dz5wdnjTWgcEBLiEZ4mLs3huRdiAN18sxTkfHBwMfK6AipBIjUaDzWbj4sWLvPPOO3zyySd0dXUREhLCj3/8Y2bMmEFycjJ2ux1gUo0gU/pUiJgJcTsbHx+nsrKSCxcuUFlZSX9/PyMjI4BTyVu5ciWLFy+edoemVquVi1VTUwNAXl4ea9asYePGjXKzBgQEyBgSgIsXL3LkyBECAgJYvnw5JSUlctN4W1yo8uDs7e1lz549vP3221RUVDA8PAxAeno6JSUlJCQk4HA46OjooKKigrt379LY2EhZWRkLFy4kPj6ekJAQr5ofQH9/P5WVldy6dYuuri7CwsKIi4tjaGiI3t5ekpOTWbJkCVlZWS6KhbftUaVAj4yMJC4uzuVCZTKZaG1tZXR0FI1GI9dPr9dTVlbG1atX+dGPfsSqVasA75zjRFgslm9Ulk0Z3+wNiMuTeD4+++wzPvroI+rq6oiLi2Pu3Lnk5OSQlpZGenr6tLaSfxHCohwQEEBtbS3vv/++VFzz8vJ48cUX2bRpEwkJCS6WZ29ZRyXi4Afo7e3l4sWLlJeXU1hY+JWfLWHs8eQclWuiHNdkjUfpmezr66O8vJzr168zPj7OwoULpfIqLgOe+hyUcxaJS0oZ29PTw7lz57hy5QpNTU1oNBoWLVrEhg0bSEtL88iYvwoDAwNERkYCzjn8+te/xmw2s3DhQmw2Gzdv3qStrY2xsTFGRkZITEykq6uLkZERTpw4QVRUFLNnzyY5OZn58+fLnyv0wEdhypRXoXxptVrMZjPV1dVUVVVRXl5OWVkZ586dc1HkIiMjGRgYIC0tTSqvNpvNq0tOjY+PY7FYpIugqqqKd999lxs3bpCfn89zzz3H4sWL5XvF7UVw/vx5jEYjxcXFLF++3Ctv3EKYiIO0vb2d/fv388orr3Dz5k3AeZDk5+fzxBNPMG/ePEJCQggKCqK7u5vdu3dz9+5dADo7O6murqatrY1Zs2ZJATjVbj7l7xseHub27ds0NTXR19dHZWUlFy9epK6uDp1OR3x8PCaTib6+PmbOnElDQwNbtmxhzpw5Xllf0v0gTE1NZevWrURGRlJfXy8txxaLhfHxcQYHB6mvr6e5uZn29nYAuru7mTVrFhkZGaSkpMh96Y3uWPjcCiNkxdjYGGazGZvNxuDgIKOjo9IaKxTx4OBgIiMjCQsL8zrFXFhrxDN34sQJ/tf/+l+A82JSWFjI3Llzyc3NJSsri7i4OPk9ERERZGZmkpiYCHjvmn0R4jIh1rOmpoYPPviAjz/+GICkpCReeOEFnnvuOXJzcz051K+MMrRsZGSE5uZm7HY7M2bMICIiQr72RXvRk0qrMukI4MqVKwwPD1NYWCiVnUcxuIh9Kqyu3d3dXL16lYGBAQBqa2tlKJ5yPJ5CXJZEclJgYCAOh4OWlhYqKys5d+4cp06dory8nJ6eHgBOnjxJa2sr27dvZ/bs2QQGBnpdcmx4eLj894cffsg///M/Y7VaWbNmDQBlZWX09PQQGBjIwoULCQsLIyEhgc7OTm7cuEF9fT3p6eksW7aM0dFRli9fjl6vnxTdZsq0I5vNJjdyXV0d//Iv/0JZWRlDQ0MMDw+7KK7gtHrduHGDjo4OmdjzRYHB3oCIlxSuguPHj/Mv//Iv9Pf3U1hYSFZWlnyv1Wp9QNmpqqqis7OThQsXys0xMjLidVZJcZCOjo7y8ccf8w//8A9SIX3iiSd49tlnWb9+PSkpKahUKmw2G+Hh4XR0dMjYNPg8NMTTKEt2NTc387vf/Y5Dhw7J/dbT08PY2BgA9fX1MnRAKHh9fX288MILFBcXy/l4q3UyLCyMhQsXkp+fL11AylCVwcFBrly5wvvvv8++fftwOByMjY1x7do15s2bR3x8vLQoeGuindVqlWO0WCx89tlnNDU10dXVxfnz56msrESr1RIUFCTfm5+fz9q1a1m5ciWpqalec3jA59U8BMpDW6vVUllZSV1dHeHh4TJMB5xzT01N5fvf/z47d+4kNDTU6w7Hr4pQZjo7O9m9eze//vWvGRwcJDY2lh07dlBaWvqA4jpd5jgyMsLg4CBjY2MuxgxvRsiOoKAgHA4Hv/rVr6iurubv/u7vWLRoEQBms1l6Dr8u4gIqZO3x48fZs2cP3d3dgNO4pZQ93rDW7pfMa9eu8dprr3Hs2DFaWlrQarVERkYSHR3N4OAgd+/e5R//8R8xmUz82Z/9GTNmzPAar4+ItQ4ICGB4eJg33niDV155RRo0hIf43r178v3Xr19Hq9ViMpnkzxkcHKS8vJzOzk7a2tpoa2tj27Zt8oLzKDHdj115FUI3MDAQk8lEXV0dH3zwAZ9++ql0qYPTIlRQUEB4eDi1tbVcvnyZ9vZ22traHvcQJwVxywwJCQGcN5Ldu3fT399PWFgYmZmZEz7IwnR+7do1rl27RmBgILNnz5avCwHg6c0Mnx8gQsk5deoUe/bskYpraWkpu3btYuPGjdLSIzCZTPLmKQgJCSElJUW+Vyh8Uz1X5aXIbrfT399PU1OTy3tCQ0OJj49Hq9UyMjJCR0cHVquVhoYGPvroIxISEkhPTyc2NlbGcXuj8qpSqdDpdA9NdEhKSiImJobKykoOHTqEyWRCr9fT0dFBfX29VPaU5dG8BbF/xNxaWlo4evQoJ06coK6ujpaWFpk86I5IYmtvb2fjxo1kZ2ej0+kecIl6AnGAC1JTU4mOjqavr4+goCDMZjODg4MMDg4+8L0NDQ3ExMSQkpLCkiVLpBdrOlhgxXMkDreGhgbee+89Xn/9dTo6OoiPj+e73/0uO3fuZO7cuYBTqRIueW/0XAmEgWNgYIDbt2/T3d2N2WyW438YIlTAZrMxOjqK3W4nNDRU/rypWlelglVfX8/Jkyeprq6mublZKq+PYmxS5r/09/dz7tw5ysrKsNls0gWdkJAg3+9pOSSMc6KK0KlTp/j1r3/NRx99hM1mY968eSxdulR6RkwmE++99x6HDh3i8uXLdHZ2MmPGDMCziriyko7ZbKa+vp4PP/yQ1157jbt370rZLyzg4uKfnJzskuCsUqkICQnBYrFw69Ytrl+/zv79+4mMjGTVqlXTQ3kVgv/evXtcuHCBPXv28Omnn9LS0iLfk5CQwPr163n++eeJiIhg7969dHZ2otfrvTpMQInVapUP0N27d3nllVcoKytDpVLxzDPPsHbtWhcTvFDqNRoNzc3NvPvuu5w/f94lXhYeXyD8N0FYi8F5kOzdu5dz586hUqlYtGgRW7duZcuWLcTExABOhVUoEsePH+eXv/wln332GeC0AM6ZM4e8vDx5oHpK4VP+zsTERLZs2cLg4CBlZWWYTCaCgoKYP38+TzzxBPHx8Zw+fZoPP/xQfo+4bD311FPExsZO+fgnE7vdTltbG/39/XKP2u12IiMjiY2NlXvcG6wD7iit3a2trfzud7/j7bffpqGhAbPZ/NDDVKVSMTQ0xIkTJ2hsbGRwcJDvfve7UiFyr8c81bhf6JYsWcLTTz/NgQMHpBVWq9XKFtTCZSnW7/z58yQmJpKamiqtkyK8abowODjIvn37+Id/+Afa29uJj49nx44d7Ny5k6VLl6JWq2VcsDefGcLIoVarsVqtlJeXc/78eTo6OtDpdERERLjEAro/Y+L/vb29XLlyhf7+fkpKSpg1axbgmgj2OBGfsd1u58aNG9jtdsLDw2ltbcVsNhMUFPRIlQCUe765uZmmpibpIYqLi6OoqEgqe4BHk5uVsccOh4MDBw7w93//95w5c4bIyEheeuklXnzxRYqKiqRSBxAdHU1bWxtms5nm5mZyc3OlgctTnjsh1y0WC+Xl5fzmN7+RRrjAwEAsFouUK2FhYSxYsIDNmzezfPlykpKS0Gg0WCwWLBYLkZGR9Pf388Ybb1BZWYnJZMJsNrv8vke54Dw2zUiUbFG60F955RUuXrwos5wBFi9ezMaNG9m6dStFRUVYrVZpIYmMjHSxQnqzwA0KCmJ8fJzW1lb279/P6dOnASgoKGDz5s0sXrxY1n1Vq9XyQQSnYn/kyBEA0tLS5K0E8GgQujtK1+Xw8DD19fUMDAwQGhrK/PnzKSoqchn72NgYN27c4OjRoxw+fJizZ8/K10pLS3n55ZfJycmRX/PU7VlZcDk2NpatW7diNpvp7e2lr6+PlStXsnbtWlasWEFwcDD37t1j//79wOdKQ19fH6Ojox4Z/9dFWS5KKG4ajYbQ0FDa2tp45513OHHihBSeGo2GFStWsHr1ahfvgaetHQKldwecXow9e/awb98+KisrAYiKiqKwsJCZM2cSExNDdHQ0VquV5uZmbt++zc2bNxkbG6O+vp7333+f/Px8qbyKus2eVF7hc6vawoULZUWIffv20d/fT3JyMqGhoVRVVckDQlhs29vbOXfuHC+//LL8mcrwJm9EyEnhsTt27BgffvihdFuuW7eOXbt2ScVVWf3Dm1F6K+x2O42NjVRVVTE2NkZeXh65ublERUXJ9080H7vdTnV1NW+88QYtLS2Eh4dL5dVisTxW5dX9Iic8MuL5uHnzJjdv3mT+/PnyQvFNLn5i3j09Pdy6dYve3l75mlarlV4ugaeeTZF4pNFosNvtMozuzJkzJCUl8cMf/pDnnnuOwsLCB7531qxZpKWlSRlUVFQk6xN7wpBjsVjkpeTOnTu8+uqrvPvuuwwMDMgQR2EpXbFiBWvWrGHx4sXk5uaSmpo64V5VNmPSaDQkJia6yJ1H0W0em/IqBA8465y+8847UkGLjIxEo9GQnp7Oli1b2LlzJ3l5eQBSOJtMJu7du8fAwAAtLS309vYSHh7u4vYS7/ckopSJUAI+/PBD3nzzTVpbW0lMTGTNmjUUFRW5JLmAq1BqamqiubkZgNzcXJKTk+Vrnp6fEuVY9Hq9TCywWCwkJSWRmZkpBZbNZqO2tpa3336b3/3udwwNDREYGEhUVBQFBQV873vfo7S0VH6/KKflScSBGRUVxcKFC2lqaiIgIID169dTWFgo915YWJhcR2Ht8sZkrYfhXvdTHJZjY2OcOXOGjz/+mIqKCsC55gUFBTzxxBPMnDkT+Nyi7i3zFVZGIXhPnDjBb3/7Wzo6OgDnem3cuJFnnnmGGTNmEBoaSmJiIhaLRSaNXr9+nUuXLsn6xGfOnGH16tXMmDHDa0ptCcVHp9OxbNkyHA4HoaGh1NTUkJ6eTnR0NJ999hkXL15ErVYTHR1Nd3e3DHNRGg28HWWyT3l5Oe+88w7nz58nNDSUtWvXsmPHDhYvXvzAgTk0NCQzvb1pj06E3W7HYrFIF2x2djZLly4lKSnpgXNCqVh0dnZy4sQJ9u/fj8PhcFlXcal5nPNWWgXv3btHY2MjPT09mEwmRkdHZX6A4OtY19xDRerr6zl9+rQ8H8FZEi09PV2eP57ML1AadC5fvswvf/lLTp06RXR0NH/8x3/Myy+/TEpKioyHHR0dleMeGhpifHxcPp+i0hJ4Jr9H7K+2tjb27dvH+++/z8DAADqdTlpcQ0NDWbp0KTt37mTbtm3Ex8cDnxtElIjuoo2NjZjNZpmQptwfj7Juj0V5VZZBqKio4Je//KW0ROp0OjZu3Mhzzz1HVlYWwcHBUlkTB1BKSgqzZ8/m8OHDvPLKK4yMjJCUlMR3vvMdr6vrptxkjY2NHDt2TB78GzZsYNeuXWRmZsr3iMUSWZQNDQ2cOnWK4eFhwsPDmTNnjov10lstCaGhocTFxQGfF3kXc2ppaeHWrVt8/PHHHDhwgKGhIQBmzJjBpk2bePrpp1m+fLn8Wd4yR2WIRk5ODj/4wQ9Qq9XExcXJudlsNqmwKvGG2Mivi8lkkkkXAG+++Sa/+tWvqKqqku+ZN28eTz31lFdYyL8KY2NjtLe3S8U1Li6OJUuWsH37dkpLSwkJCZFVS8bHx4mNjWXFihXU1NTw6quv0tvbS3d3N2fPnuXtt99m586dsuamp8vVKfeXKLWTkpLC0NAQwcHBaLVannrqKXp7exkdHaWxsZGDBw9y7NgxGb8m5uCt5bSUfdEdDge1tbUcOHCAU6dOYTKZWL16NS+//DKlpaXodDp5KIo4/P3799Pc3ExhYSGLFy+W1jlvMXYosdvtWK1WeZhnZGRQXFxMQEAAJpMJjUbjst/sdjsmk4lz585x4MABzGYzeXl5LrGfj7vd6ETJg3fu3KG/v5+4uDhSUlKIjY2VY/gqTV6+6OfX1tZy+vRp6uvr0el05OXl8cQTT5CbmyurhXhC0RP7VMjO2tpa3n33XU6cOIFOp+OFF17g6aeflrJjok5UZrMZs9lMQEAAoaGhXxgu8jhRXozu3bvHu+++y+7du+nu7iYwMFCGXOl0Onbt2sWzzz7L/Pnz5fkPyDruyudMWNxF+IjNZqO6upr29napx3md5VUoAa2trezbt48PPviAzs5OdDqdTBx49tlnXb5H2Y2io6ODS5cu8emnn3Lu3DmGh4dltwbBl7Ule9y4l2+5e/cuu3fv5vLly4CzXNT69etZtGgRarUai8XygGAZHh7m3LlzfPrpp5hMJpYuXcqGDRtcLK/eesiIUkQ6nQ673c7t27f55JNPCA4OpqqqinPnznH8+HH6+vrQaDTExsaSkJBASEgIGo1Guqp1Op3XKEPKBgTBwcHyAQPnhcxut1NXV0dra+sDe89kMslDyBvjQSdCGZN2/vx53nnnHa5duwY4rbF5eXns2LGDLVu2EBERIQW2t+1JIW/Gxsa4dOmSSzx9eno627dvZ926ddJyHhgYKGPU9Xo99+7do6mpSZZ8UalU1NfXc/bsWZYvX+7S7ciTe1VZSxicF0hRiUWg3LOtra2YTCbu3LnDwMAAd+/epb6+nqysLCm3vC1xS7glVSqV7Nrz8ccf093dTW5uLqWlpaxcuVLu3bGxMWnJGh0d5ciRIxw9epQ1a9YQHh7OihUrAO+p3SusiqKhRH19PZ2dnSQkJDB37lypDClrhiq9CleuXOG9997j+vXr0gKvPC+mIkdCqVz29/fT2toKOPdST08PHR0dZGRkEBQUJEvwfZMQleHhYWpqamToT2RkJEuXLmXhwoUuoRWeQMiCgIAA2tra2LNnDwcOHECr1fL000/z4osvkpubK62RYl2UF9Dh4WE6OjpQqVQkJyd/5RJpk43yLKurq+Pw4cPcunVLJj3abDb0ej3btm3j+9//vnym7Ha7S6Ka+94zm83cu3fPxdjT29vrYqF9lBJnk7rTlQ0I+vr6+Oijjzh8+LAsbyG0d+EuEQ/kwMAAg4ODdHZ2Ultby8WLFykrK+POnTuy7EJ3dzd9fX3yd3mD8qoUKmVlZfzbv/0bXV1dZGdn8+KLL7JkyRJ52ImyE8owA7vdTn19vayPOm/ePNauXYtKpcJkMnl1txxlIeaBgQHOnDlDXV2dLGfT0dEhlTlxKVGr1dTV1XHkyBHGx8dZunSpSzFxb+BhFlSNRsPY2Bg1NTU0NjY+sPdsNtsD5d6mA1arVVoZa2tr5deLior44z/+Y1avXk10dLTXWpWV2aqtra2UlZXJ50mn07Fw4ULWr18vLXBKj01AQACjo6P89re/5ZVXXpFKr9Jl6y37UslXHVN0dDR5eXnMmDGDrq4uWltb6e7uJiMjw6Wkm7dcHt1paWnhzJkzVFRUEBMTw+bNm9m0aZNMCAXXC1hPTw/Nzc2yJN+6deseiIn1NEq3/ujoKNeuXcNkMvHEE0+Qn58v3yesySLeGpw1tQ8cOMChQ4ewWq3MmTOHuXPnuig9U72Wo6OjMsa6r6+Pw4cPk5ycTHFx8TdSWIVRxGw2U15eTm1trcwP0el0ZGVlyfAl8f6p1APcL/D9/f0cP36c999/n/b2dtauXcvzzz/PggULZBys8nkV/zaZTNy4cYO6ujpmzpxJdHS0Sz7BVModZQx2bW0t9fX1wOdnWnh4OLt27eKll15yaTSgNN4JlF530Zjh1q1b8vWEhASXSkReo7y6J/SUl5dTU1Mj4yDNZjOtra0cOnSIkZERUlNTsdls3Lt3j3v37tHX10dnZyc1NTXcuXMHh8NBSEgIIyMjNDQ0uJTNEjdpT6FUni0WC9XV1TLzNyMjg9LSUnJycmSsi1hQ5WErbt7iZqKsLym6kXmT8qr8vEWYQGRkJMPDwzQ3N7vEJYEzhisoKIhbt27R0dFBWloaGRkZ5OXlkZSUJDe+tykISquH2WyW2aGBgYH09fVx7969Bx666Ohoeah6+mL1VTCZTDQ0NHD27Fk+/vhjzp8/z+joKImJieTk5PDcc89RWloqW2160wVDiXIdxsbGaGxspKGhQSYVKD0ZNptNzkE8W0NDQ1y5ckWW7QsMDESj0RAdHU1ycrJce/BcUog7SgusSIwVcsJms8mLopA7wtI8Njb2QMiLt8zJXSno7e3l1KlTnD17FqvVyuzZs1m9ejW5ubmoVCrGxsZcMtrb2to4ffq0DBcRnhBxMHvLM6lMwK2oqJAl+URokjj8rVarS1LdzZs3efPNN/noo49kGFZeXh4lJSUy7hCmXnkVVjSRuNrc3CxLJ4qvK9+rTBRVZukD0sIHzovLkSNHXEor6nQ6srOzSU1NlefjVOcaiDAF8bxdvXqV3//+91y6dIl58+axa9cuVq1aJfex+3qo1Wp6eno4fPgw+/btY3h4mJiYGEJCQiZUcqcCIQPGxsbo7e2Vz5B4XjIzM9m6dau0uI6NjaHVaifca8pnbGhoiNu3b1NdXQ04yzDm5ua6hEV6TdiAcuA2m43+/n7u3buH1WqV9Qj7+vo4ffo0t2/fJiIiQva7F0HrStzdk94iaOHz2CKbzcaVK1dcFLfs7GzZkEBYW8VclA/svXv3pLUrMzPT5UbpnlTjDSg//+DgYGbOnElkZKSsnaksjq7T6QgPDycyMlLenIuLi9mxY4eLK89bLCIToex4Ak4PQXNzMz09PS6xPQkJCeTl5bm47zzd8cUd5SEhwh/ef/993nrrLe7evYtKpSIqKoolS5bwgx/8gFWrVhESEuLx9pNfhrvMGR0dZWhoiIiICEpKSigsLJRjFyWkROceYflSenTEXg0LC3NJCgHvkj/wuZVKiTI0STxfIvZMxFAKa6t7cownmUgp2LdvH7W1tcycOZPVq1eTn58vlTnRU13Exp45c4b33nuPxsZGVCoVmZmZREdHy5/v6T2sVM6F1bW5uRmbzSZbGIs1AleLYnd3N7/97W/51a9+JT2RUVFR5ObmMn/+fNlswxPVFoKCgggNDXV5Njo6Orhy5QrLli2T+0zsvS8an1Jmtre3c/LkSZk/Ak6jkLIToydkrMPhcHlmPvvsM44fP45er2fz5s2sWbMGvV4vk5bFeprNZjQajYxnLisr48KFCwDMnDmTuLg4GYcPU6u8it8pLu0zZsyQF5CCggJKS0tl5RX43CvwZT+zoaGBpqYmRkZG0Gg0LFiwgAULFrhY5B8lBO2xKa9i8cRNX5iYVSoVZrOZjo4OqeF/ESMjI+j1epYvX+5isn7cgelfhFIZFUrAyZMn0el0bN26lWeffVbeLpRB3YDMgLVYLJw9e5bm5mYCAwNZv349+fn5UogrQxLAOyxfyg2r1+tJT093iT0SbhIRSF9VVSXb4paUlJCcnOwSozfVLp9vghBSdrudiooKLly44NLAQBRpnjt3rrQagPcpOkqBa7FYqKio4PTp01JIaTQa4uLimDdvHqtWrSIiIkK2VVXelL2ZgYEBOjs7AWTLV41G4/LsjI2NSWtqXV0dr732GhcvXkSn08lYbHAqB3PmzHFJSvC2y+REKBVWcTEULSsjIyOlwUAorqKcoSflKbgm6litVs6fP8+pU6fQarVs2rSJ0tJSl3heUXYQnGfEtWvXOHHiBOPj46SmpjJv3jySkpLk+z2d3Ku0+Gs0GoKDg0lLS0Ov10uFSCnvRTOUs2fP8vvf/56DBw9KxTUyMpJFixYxb948aXn2hJsZnNa0vLw8mpub5fhu3brF3/7t37JkyRIyMjIICQkhKyuLoqKir9wCXNkUJTAwkPnz57N69WqPWpnBVa43NTVx9epVLBYLTz/9NDt27HBxiSsvhSJbX6/XExoa6hL3mZycTFZWlvSQTPUlRKyDVqtlwYIF/OQnP2Hv3r0MDQ3x1FNP8dJLL5GRkSENbxNddsU5LjpslZeXc+rUKXlWRkREsGzZMlauXElYWJhLveNvyqQqr8qBhIaGUlxcTGVlJVVVVS4tw+DzLES1Wk1YWBjBwcEEBgbKVqh9fX1y4rGxsRQUFMgaaOA55UC4K4Ty2tzczCeffEJXVxfx8fFs27aNVatWyZIQer1eWmjFDRScgfe7d++mpqaGzMxMVq5cSUZGhpyXWq2WMaPiZ3gD4kCMjo5m/vz5LFmyhDt37tDR0SG7wzgcDiwWCxkZGWzcuJGXXnrJJVvdarXKhAVvmZc7Soujw+Ggvr6eCxcucPXq1QdKmmRnZ8s6i/D1M2ynAneXVHBwMHFxccTHx9PV1YXFYpEB9g0NDRQWFqLX66VC7g2Xpy/DbrfL+DsxVlHmSiS+KG/6n376KQcPHpTJg0IoJyYmsmLFCvLy8tDpdFKp8rYLCXxusRR7VXkgBAQEYLFYGBwcJCgoiMLCQgoKCh76szy5xiL5BZzu9GvXrjEyMsLMmTNZvHgxJSUlwOdrLNqSqtVq2traaGlpkQdoWFgY8+fPd6nyIiyAnkaZkCbCpyoqKmhpaaGurk4qex0dHVy+fJnf/e537N27F0Amz4SFhbFy5UrmzZsnf+5UyRshtwU5OTmsX7+empoa2Sq0q6uLI0eOcP36dTIyMggODmbJkiU4HA5iYmJoaGigt7cXnU5HaGgoDodD5niEhobS29vLiRMn5M8LCAigsLCQZcuWyTCmqZyzQOw3ZYfJiooKwsLCWL58OXPmzJHhkaLuu7Csi2RRcHoVxCV7zpw5FBcXu1TFmOp9qqwMkZ2dzQsvvEBKSgotLS2sXr1aGpzc6+wrvcjKBkbgvMBcuHBBhlJmZWVRXFzsEsL1qOs3qcqrcvBxcXG8+OKLBAUF8fbbb1NXV8fo6KhUYmNjY9Hr9QQHB1NYWEh2drYsaxMTE8NvfvMb/vZv/1b+vJGREZci8J4UtEp3xeDgIHV1dYDThTJjxgyX2nwiCNu9BEhlZSXHjx8HnCWk5s+fL29kwrV3+vRpgoKCWLFihfyaiGfzBO6fd0xMDEVFRZSUlHDy5EnZhcPhcMiyGv/xP/5Hl7hB8LwV5KugbFU7Pj5OU1MTd+/elZY5JcnJyaSkpLhY+bxN0VHG/ul0Op544glZeqesrIz+/n4aGho4dOgQNpuNl156iaVLl8rv9+bEHkFERIRLq2FlDOXo6ChBQUEEBQUxNjbGnj17+OCDD+R6is9l/vz5bNmyhU2bNnlFu8YvQ1yuxL+VDA8PU11dTUtLCzqdzuXy39/f/4BF3VMyVfmsdXV1ceXKFZk8597QRSgEer0etVpNV1cX165dk4ckOJXX4uJi0tLSXNy33rCOStmn1+spLCzks88+4+rVq7z11luMjY2RnJzM9evX2bdvH6dOnQKcHh5lyEBhYSHp6enyXJlK5RWQsatJSUmsW7eOmzdv0tTURH9/v1yvrq4uuru7GR8fp7u7Wz5r5eXltLe3o9frCQkJYXh4GJvNJj0d169fp7Ky0uW8DwkJIS4uzuXyOdUyVoQ/ArIMXU1NDbGxscTHxz8QLiA8rMJYAHD69Gl+/vOfc+zYMXJycvjhD3/I6tWr5e/wRCUX9+ciMTGRTZs2YTabXbqCuo9NyB5xRiq/3tvbS1tbG1arlbi4OGbPnu1ilZ6MZ/GxBDuJ22Vqairbt28nPDyclpYW+vv7aWtrIzAwkPT0dEJDQ9HpdOTk5JCcnEx0dDRpaWkALvGfOp2OyMhIj2XjueOeuCQy0XU6nUvco/KWqHzQzGYz1dXVsrh0cXGx7CSmVqvp7OykrKyMt99+m+LiYhk7JNx9ngjKF1YrUcKmqqqKGzduUF5ezuDg4AOlQIKCgujq6qK6ulomWQBeXUFBifJWqVKp6OjooKWlxSXhzmazkZ+fz+zZs0lKSpIWdm+enwgfiIiIYMOGDajVamJiYjhx4gQ1NTXU1NTQ09MjPR8lJSUPdEXxJpTPYlBQEJGRkfIQaW5upr6+npiYGCmER0ZG2L9/P2+88QYVFRUy0USlUpGVlcX27dt55plnpKLnrRZn5d4U+81qtVJdXc3IyAhBQUHcvXuXs2fPMjw8jEqloqysDLvdTn9/P+3t7Wi1WhISEigoKGD27NnSBe3JOHTRhEH8/p6eHi5evEh6ejqLFi0iOjra5UBtampi//79LhnNqamp8hwB74o/VyrRarWaZcuWceXKFY4fP87evXvp7e0lPT2dmpoaPvvsMywWC2FhYYSGhsruYikpKaSnp8t198TFUvlcZGRk8OSTT1JbW8uhQ4cACA8PR61WS+tpZWUlAwMDmEwmWX3InYiICAYGBjh37twDrykTvSYaw+NGhNkI2tra5DjDwsKkYqZSqVzOfWG4EWUxf//73/PJJ59gs9nIy8ujtLSUmTNnylKhnpazQhkNCwuT1mLRtU3UchWe06CgIJd919/fL+XO7du3pec8Pj6etLS0h+pD35THWucVnBv7Bz/4ARaLhdHRUUZHR1Gr1YSGhhIUFCSFr9Jc3tLSIrN/wbmpCwoKXASSJ+Mllb9XbDpwHh6Dg4PyNVHbFT53X4LzQRbWWuGCF66G8+fPs3fvXvbu3UtjY6OMNRG/11NzVh6Q165d45133uHjjz+moaFBHoKik1hfXx/Nzc388pe/pKKigv/6X/8rTz75JIAsKj6dGBwclNUuRG07gLlz57J9+3YWLlzoUiXCm1E+ayEhIXznO9+Rh/3Jkye5e/cuHR0dvPvuu5w8eZLvfve7vPTSSy41KL1JoVOOQ6fTkZiYSEJCAg0NDZw5c4bo6GjUajULFy4EYN++fbzyyitcuHBB1qAEpyKRnJxMTk6OS9F3b7U4KzO0Rc/w6upqDh48SGVlJXq9nt7eXq5evQo4D89f/epX/O53v5OuzcDAQPLz83nxxRdJTU2VyutUt6YUcbng9OYsXryYTz75hAsXLjAyMsInn3xCd3c3GzduZO3atdK1brFYOH/+PMeOHaO7uxudTkdRURErVqzw2kQ796TXBQsWsGnTJpqamqipqeH48eMEBwczPDwMOD2UGRkZ2Gw2xsbGZEyvSEbz1JmgLCOnUqkoKSmhrq6OGzdu0NLSwuDgoEsOgM1me6AajZLExERSUlIIDQ0lPT1dJgELvGkNARevjsVicbH8uxswuru72b9/P6+//jpXr17FZrORnJxMYWGhi3fHG2TqRJ+z0qMuwiYcDgdjY2OyKkZDQwMNDQ2MjIxQXV3N+fPnZb5TbGwsaWlpLqETXqu8Ai7mc1EMXK/Xu9TomwhRXkG50dVqNSEhIVK4elMG9MjIiIxN7e7u5l//9V+5fPkyM2bMkIX5dTqdVNQ7Ozs5efKkrKWm1WopKyujs7OTwMBArl27xtmzZwFnrU33WrFTaUUQn7Py8Fb2jReuPavVSklJCaWlpQQGBnL48GGpnJ89e5bjx4/LCgxCAfLmKgPwYOH78+fPu8TVASxcuJDnnnvOJZHE2wr4PwyRqQ1OJTwkJIQVK1Zw+/ZtDh48yKFDh+jo6OB3v/sdNpuNH/3oRxQXFwN4TYY6uH7eM2bMYOXKlVy4cIGGhgYqKirQaDS0tLSQlZWF1WrlzJkznDt37oGSUQ6Hg87OTjo7O2WJIpH85I3KKzjX8Nq1a5w6dYqGhgbZ7ai5uRmNRiMNBmFhYTgcDkZGRlzmnZqayoIFC8jJyXGx+HjiuRRKWEBAANnZ2axatYqLFy/Kjjxnz55lYGCAuro6CgsLCQ4OpqKiguPHj0tLnl6vp7S0lC1btkiLl3uMpqdRVoIICAggJSWFdevWce/ePU6cOEFlZaW0VgKsXLmS9evXc+3aNWpra9FqtcTHx7t4IT2BmIewysXExLBq1SquXr3K22+/7dK0xf3cFmeh+CPCAwIDA8nLyyM8PJwLFy5w/fp1TCYTAQEBREREyKoGyjCTqZyvUtYIL43RaKS1tRWj0Uh/fz+FhYWEhobK8p719fXcvXuXW7duUV5eLpO2Vq5cybJly1wS7rxJzrjn6IDrmR0QEMDt27c5efIkHR0dtLe309rayvDwMENDQy76W0ZGBgsXLiQhIUGen16tvCoX273fsvu/xUYUGzs4ONhlIYWWL2puTvRzpgp3YRgfH8/y5cu5ceMGo6OjvPHGG7zxxhsUFRVRUFBAQkIC0dHRMr6stbWVq1evypulyWTi1KlTMrZJ/I5Fixbxk5/8hLVr17okYEz1fMWGHR0d5erVq7z33nvs2bOH1tZWQkJCSElJYcGCBTz11FNs2bIFrVaLzWbj0qVL1NTUEBoayokTJ0hISODll18mOjpaumC8UXl1jyGrr6+nrKyMa9euMTY25lLKZvbs2eTl5QHIupPeOCd3ROUP+DzhJzs7m+zsbEpKSkhKSiIqKopjx45JK6wo41JYWOjirvSG+Yo5hISEsHTpUkpLS2lubqa6upqrV69K66MSUcpNq9UyNDTEwMAANTU1NDQ0SMu6eyyXp1F+3qOjo1y4cIE9e/Zw8OBBeRl2R6VSyVhDnU5HREQEUVFRFBcXs2HDBpYtW0ZGRsYD1pWpRhknrlarWblyJd3d3bz77ruUl5fT39/PmTNnOHPmDOnp6QQFBVFdXe0ScxcSEkJRUZFM1FImzHozopPdrFmzuHHjBlVVVdTW1hIREcFTTz3F6tWraWlpYWxsjBkzZpCVleXSnMGT81Mm3WZnZ/P8889jt9s5fPgwPT09suGA8jlyT94GZL7EzJkz0ev1slYzON3yycnJstKA8uI9lYicBnAqZC+++CL37t3j9ddf59y5c/T19TF//nxmzpyJyWTi7t27VFZW0tHR4fJMhYSEsHDhQhYtWiQvyZ4oc/ZFTHThs9vt0vpfV1fHe++9x969e2lqanpgTcVlWJR0E6W2RDWFybhQPvYrqTJRyb2UlvLfykQXUbpFIL7uLUJIKTiWLVvGP/zDP3D8+HHeeustWVRZBJ2LDMqwsDDZsWJ4eFjGu4okksDAQDIzMykpKWHRokUyIF/p/oKpFVTiQtHQ0MCJEyc4ePAgn376KX19fej1etavX8+WLVtYvHgxqamp0hqwfv16BgYGeO+99zh37hwXL14kISGBJUuWsGzZMq9MaBIIxVoIkpaWFq5fvy6tISKrcv78+eTm5srv85a9+XVQllMS6PV6Nm3aRFRUFJGRkRw4cICGhgZeeeUVHA4Hf/VXf0VKSopXXUCU+ykyMpIXXniBmJgYfve733HmzJkH3j9nzhwKCgqIioqira2Na9euMTAw4PHGJ1+G8vNuaGjg9ddf5/3333epfqFExPMKcnJy2LZtGwsWLCA7O5uUlBQX+eLJcBD3EkqzZs3i+eefJzExkffff59jx47J8Cx3l7I4S5QKjvLr3oh7+MDcuXNJT09n1apVDA8PMzg4SEBAAPn5+fT19VFTU4Pdbqe4uJiioiKXNrKeVHrcZcfKlSvR6/Xk5uZy9+5dGhoauHPnzkPjXAWzZ89myZIlJCUlcfv2baqqqmTlkOTkZGbOnOlyafYUSsvh7Nmzeemll4iOjubSpUu0trZy/vx54uLiiImJkVUSFixYIGvfWiwWkpOTyc/Pl15oURfdG1GehUNDQ5SVlXHy5EnZ/aytrW3C9RgfH0ev15OSkuIShjWZ8uWxK6/u5vYvQxTu7+3tlV+zWCxYrVavCrwXSUyhoaEsWrSI5ORkwsLCuHz5MnV1dXR0dGA2mzGZTLLfszuJiYmsX7+eefPmERISQlJSEgsWLHDJCvZUApDJZJIPVE1NDa+//jonTpwAnEJq9erV7Nq1i9LSUnkAWq1W7HY7qampbN26lYqKChnU3tXVRWdnJ8PDww8UtfYmJgrMv337NiMjI9LCk5OTw86dO13KDnk60P6boPQiKFs2i7rKJpOJ1tZWGcv0ySefsHDhQrZu3UpkZKT8Xk/HwCpraAYGBjJjxgx27dqFWq0mKyuLwcFBKYAjIyOl8jo6OsrRo0e5ceMG8PlF0pv3pvisRQyhUFyzs7MJCAhgcHCQ/v5+efCHhYURFxfHnDlzeOKJJ1i/fr1L4wax173FOKCMQc7IyJC1aVNTU6XSajab6e7uprW1VRoB5s2bx1NPPSVjCGH6hPDA53tvorC6K1euUF1djVqtJjU1lcTERI+5zx+GGItOp2PFihVkZGRQX19PbW0td+/elVUvBgYG0Ov10sJqNpul0rt582ZGR0fp7OyUNV6joqJkJSKBJ+erlA2BgYHScLN27Vpu3LhBU1MTarWamTNnkpCQQFRUFP39/Rw8eJDz588DTqutcp96w/o9DKUXsra2lnfeeYf3339fvq5SqdDpdDK/RyR1iUuze3jWZJ4VXhEMpKyb2traytmzZ13cYO5hB96Asi4hOMMHfvCDH/CjH/2IyspKLl68KA+WGzduyE4+AwMDDA4OEhYWxpo1a/jTP/1TSkpKMJvNMrNUiafjtex2O1VVVVy5cgVwujzWrl3Lc889x6ZNmx7oqy0uGLGxsS5zEV05PBny8VVRXpL6+vpobGx0eX3WrFk8+eSTZGRkyL3p6XV6VITHQ6yJRqOR8dqCgYEBTp06RVpaGitXrkSlUk2YBewplC5MvV7Ps88+y5YtW2RokigGHxkZSVBQENeuXZP1bQUi1svbmTlzJuvWraO7uxubzcbChQtJS0uT9Yibm5sxm82kp6djMBjYtWsX0dHRLi1ywfsaL7hfHKKioigtLWXlypWMjIygVqsxm80cO3aMn//85/T39xMQEMB3vvMdvve975GSkiIt1NNJeX0Yg4OD8pKiVqtlm1/wLqXHfd2Sk5OJjY1lwYIF2O12enp6qKuro6urSyZlRUVFyWTDmTNnEh4eTk9PD6GhoVKeRkREkJSU5LUNYIKCgkhNTSUpKYlly5ZhtVqxWq2yDGh/fz9Hjx6lt7cXlUpFeHg4M2fOfOCc9zaUHeHA6YE8evQop0+flu8RxhwRFiKqtij3ZWtrK1VVVXR2dpKQkOCiAzwqXnHiKpWF0dFRurq6XOppRkVFkZKSIrs5CVO2px9eYQERxXvFA1ZYWMjMmTMZGRkhODiYLVu2cOzYMV5//XWam5sJCAhg7dq1vPDCC7L4trh5gzNWy263o9PpplwpEpZenU6H1Wrlk08+4dNPP3XpPLRu3To2b94sW7+KChLKMljBwcEucUnCyudth6U77m44Zdti0UQjKyvLpQD6dFB2vgyl0DGZTDQ3N3Px4kWXS2RISIhL1zxvQ5lEolarCQ4O/sLEFmXLZnCur0gw9UaUynl0dDTPPvssmZmZjIyMkJmZSVRUFGfOnKG5uZn29nbMZrNsJiJcdyqVCpPJJOWnt166RLJcYGDghOvY1tYm1y8wMJBZs2aRkpICID0I3rqOEyGs6larFZPJhF6vR6PR0NraKt3uOp3Oa8pFPgxhyVer1S7eKKGwjoyMoNVqH3qxEJ4fsS9FNzJv3KfKJEOtVjthHG54eDhWq5WhoSEcDgfh4eFER0c/cDZ6G8rWtn19fbz99tu8+uqrdHZ2EhISQnR0NENDQ/T39zM+Pi5jd61WK6GhocydO5fR0VHu3LnDRx99RHJyMs8++6wsKaYMR/imeMWOcK/VGBER4WLxiY6OJjk5WWr6kzHxyUKpsCk3c0xMDDqdjpCQENk949e//jXgFMxLly5l/fr1gFNZVQpb5S1zqlGGKTQ1NfHWW29x5MgR4PMOHEVFRdK9JR5IcI1vrq6ufqBweGhoqHxovVHhE2sn3CBXr16VVRPAqbyVlJRQXFwsH2xvsTpOBuK5Gh8f5/r16+zdu9elZB0440WzsrLk/73JCiJQHgzK7liiRqGyJJQyznVsbIzh4WGZGOptuH/WOTk5zJo1yyWDXSQWWiwWIiMjmTFjhotxwOFwuFjYvRVlaUEhK4RrurOzk4qKCpmlnpSU5LJe0/GZVCYsw+d7+N69e1y+fJn+/n7S0tJIT0+X54myW5e34H4uuxevF+skvi4uU1qt1uUZVbYKNpvNXhUyKJhonyk7cKpUKsbGxly63oWEhBATE+Px6h5fhqgoo1KpZNiDOAtiYmLkPAWi7KBOp2Pt2rXs2LGD9vZ2fv7zn3Pr1i3ee+89ioqKpPJqtVp9T3kVtxjlzUzcRid6vzchap5pNJoHbpY6nc5l3MrSX0IIi+Lqns4eBedBcevWLW7evClrDq5Zs4YdO3bI0lDj4+MP3CBbW1u5cOEChw8fpqysDIC0tDSWLFlCZmbmAweSN6FscVdTU8Nbb73FhQsX5OuhoaGsW7eO5cuXyzXylpizr4v7PhOKO0Bvby/Xrl3j/PnzLpbnoKAgCgoKSE9PBzwXj/1VsdlsMgxgIuVVlPMR8+7s7OT27dt0dHTIOpreuLbKtVOOz263U1lZyaVLlwDnc1dcXExMTIx0pU9HxU64JfV6PRaLhcuXL3P06FE6OzsJCgpi/vz5LjGR3uCVexSUilpvb69swBAREUFmZqa0vooYb29EGHLEBRGQMZGijKZouCMy0LVarQztEeeDaAeszEPwtrNDGG3EuEURf41Gw+joKP39/TLhd8aMGbJOscAblVf3WvbKpNDR0VF5yddoNC5rvGLFCn72s5+xevVqDh8+LOfZ0tLiUgJuMtbQK3a+ciIWi4WhoSEXZXVkZERO3Jsz1d1dB8p5icQC8T5llxjRsAE8d1iKA1Fpda2vr3dxERcVFbFt2zaX7meDg4OYTCbsdjvt7e2cOnWKffv2yeSuxMREnnvuOb7zne+4fJ83rqHy0Kirq+Po0aNUV1fLrwUHB5Ofny+bZShv2NMFpXdA/F/pIuru7ubIkSOcO3fORWBptVqKi4tluIQnG2Z8VSbq5qZcY9EZJzo6mtbWVgDa29tlTCF430EJrjJCZKWHhoYyPj4uuzABZGZmsmLFCnJycqSVYzrGgSpDOWw2G9evX+fcuXOYTCaZGKPs3jOdnkd33BNGTSaTPDt0Op28VIF3dQ5zR1ySJpLzylJ94JyXMgRE+VpwcDDR0dEunlhvOztEqJmypKWYj06no6urS9Y9zcnJIS8vj5CQEOlJ8Lb5gOszpFarXVpJm0wmqZ8Jg09wcDCFhYW8+OKLrL7f7lan08m9bLPZGBgYkGfmZHjOvUJ5dY95VfZBBucHZLFYvCpc4KugPPhEjTSAxYsXu3QLE+EQ3iJ0hUJjsVhc1sZsNss5mEwmGhoauHr1Knfv3qW3t5f29nZu3rxJVVUV4HyIS0pK2Lp1q0uBe/dkN29B+fn39/fT09Pj8rr4XKYzEx14ymz9M2fO8Jvf/IbLly/Lr+t0OrZu3crzzz8v2x978yXyi1CucVJSEkuXLqWyspKKigqAB8r0eTtKS6r7czV79mzmzp2LVqud9omFQj7W1tZy9epVWXpJpVLJZFfle30FZQy+MizLlxB1mpUKr3BJx8bGMmvWLJnvAt6nvLqjNAZYLBaampoYHBwkNDSU7OzsB4wf3j4fd0OFCCdQlqh7+umneeaZZ5g1a5Z8n/B2gTNutq6ujqamJjIzMyflEu11ksxisdDf3+9ieRUlp2w227RyCbmX1RCLnZKSQnBwsEttW29BjCkqKorQ0FAZ0qDRaKiqquL3v/89OTk5WK1WKisruXDhArdu3XKJb9VoNOTn51NSUsKmTZuk4gre224TXBW74ODgB9ZlYGBAliHy5pJKE+FeCHtsbAyTyURUVJRs6XvixAnefvttrl27Jg8PrVZLSUkJu3btYt26dV5bVPurohS64eHhpKWlPVBLuaenR16yvH2Oyn3a2toqPVRLly5l2bJlMj7S2xoufB1EuIPFYqG7u9vlbIiOjn4ge3s6PZdfhsPhkBdmd6vsdDkHvwzlPEQoj1hj0ZRB6an09vUVipnNZuPixYvcuXMHgLi4ONLS0lwaxHgr7rJCWZFleHhYeu/mz59PaWkpO3fulI0IBCEhIWRmZtLS0oLVauXKlSvk5uYSHx8vn9dHMUh6nfIqshSVFgKTySRDCZRKgzdZKyfCvRGDWKSamhrq6urIzs4mKirKK+agrPsYGBhIdHQ0KSkppKSk0Nrais1m4/Tp05w+fVoKksHBQZfuKRqNhqysLGbPns2iRYvYsGEDxcXFMs5JvMdbUa6Du9UZnBZIZQWI6aQMKJsRmM1mLly4wMDAAPn5+YSHh3PmzBl++ctfUlZW5pJ9P3/+fHbu3MmyZcumTWvfr4Iy+VOpEIhqJ4ODg0RFRblYvbzhOZ0IMbampiaamprQarWsXr3a5dI4XWOz3XFX4DIzM1m1apVMIlTKWV9AadyYjvHKXxez2ewSrjQdZawwVN26dYtPP/2Uu3fvotFoWLRokayIAZ4vg/lFuDefyM7O5uLFi5jNZpnrsGTJEr773e+ybds2WZt+dHRUxmSHhYWRl5dHRUUF/f391NXV0djYiNlslsrroxizvOLTU35QwhpSU1MjE4UCAwOx2+3TzmWrFDRarVYu2KVLl6iurpbVBrxJGVAKyuLiYv7wD/+QoKAgTp48KW/DSstHbGwsixYtIjY2lhkzZsj2jDExMaSmpsqfp3SleBvi8NfpdIyPj9PQ0EBlZaVLpnpERAQlJSVkZWW5KDTTBSEoBwcHOXXqFPv376ezs5OsrCyCg4O5evUqn332mZxTeno6ixcvZuvWraxZs0ZmiSp/li/grpSq1WqioqJkooG3lOV7GKLObkBAAPHx8YSEhBAQECDLS7m3O56OiIoQWq2WoKAgBgcH5WtpaWkUFRWh1+sn7Mc+HVGuVVxcHEVFRVy4cEFWAhFMJ/nzRSjnIUplCTo7O+no6JAVecT7vfF5VDYRAec52dHRwb1798jPz2fr1q0kJibS0dFBZGSk13bVAlxyOaKjo/nBD34gW72LRhSrVq1iwYIFMpfFvZGURqNBp9PJlrLR0dGkp6dPWmtjrziFlIpbaGgoM2bMIDo6mpaWFvl1ZQa/Mj7Gm1Ee8uHh4axevZqOjg7Cw8OJi4vzaEmshyHWwm63k5yczIsvvoharcZkMlFXV0doaChqtRqLxUJsbCyrVq1izZo1JCcnExcX53KzFLUavb1guPJwt1qt1NXVUVdXJ+N7x8fHiYiIIC0tzaUzije7fQTugn5oaIi7d+9y4MABl+QegVjDVatWsXXrVkpKSqQi502XrMlgoqSz4OBgkpKS0Gq1XleWbyKE8qrRaGRHKpPJxPDwsMx69ubxf11iY2OZPXs2lZWVZGZmsmDBApfKENNdoVMWhofPW/rW1tbS09PjorhPB/nzdRHlJcPCwhgaGpLJWtNF7gh5Oz4+zvDwsAy7CwgIoKenh5qaGsLDw6UXD7xTrorxiBr2K1euJDIykqSkJCIjI9m6das865VeVaWsCQ4OJisri5ycHDo7O5k9ezbZ2dmTlnznFcqr8nDV6XQPdGfSarUu1pDpYklQCqGYmBh+9KMfUVpaikqlIi0tTS6it9Xqg883VVBQEFu2bCE3N5fR0VFZj0/Ui4yNjZWK+ERrMh0OE/dSbTExMcTFxREWFiZvjb29vXR1dXl1yZaJEHMTrp7k5GRyc3MnLKg9c+ZM2Tlt9uzZREdHf2GR/+mKsi6qe4ctq9UqFQRvi0f/MlQqlcv+nC7hVV+GMuQhNTWVv/iLv+D555+Xhe+VZeum03o9DOF2djgczJgxgw0bNrB3714aGhqkMgTTQ/58XUQXqtmzZxMbG8vTTz9NSUkJYWFh0gLvrXtZqYQ6HA6qqqpobm5Gr9dz584d/umf/olnn32W7373u5NmfXzcKM/0/Px8IiMj0Wq1sukJfH6Jmqjr6I4dO4iNjaWiooKEhARpEJgM751XKK/uE87Pz5eHZkREBGvWrCEjI2NaKKxKlIeHVqslOzub7Oxsl/d468GiUqmk5TQ2NlYmfnwRyvhBUdNvOuCeWJeens6mTZuwWq1cunSJlpYW7HY7QUFB0/bAUGb0Ll26lB/+8IecOHGCoKAgadkoKChgy5YtLFq0SH6f2WxGq9VOO0XuixDCNigoiPj4eJcaoYODg1y+fFkmiigTLb31ORXrYjKZCA0NJSIiQhZ/F+8B75U1X4Zy/MHBwcydO/eB5BBvtF49Cspwj/z8fHbu3EldXR1JSUnyPd7szfo6KMNyAgMDKS4uJjQ0lJSUFJYuXSqfT29+Dt0ZHx+XJT6VpfdiY2NJSkqSIWrerIwDMlRFlMQS1laRSDhR10ylgpqcnMyuXbsoKiqir69vUpu/eIXyKiwGDoeD4OBgFi5cSFZWFnfv3mXLli1873vfc2nH6c2LPRFfNF5vnsvXTfJQvt+b5/VlhIWFsXr1ambNmsXx48c5c+YMgYGBrF271iUzfTrFfiotrTExMfzsZz/jj/7oj6TwFDGF7pbWiSy00x1xKdNqtcyaNYvMzEwiIiIYGBhgYGBAdocTSUDebPFRWhs1Gg0LFy5kZGSEsLAwmRXsC+50+GKZ4kuKK7iua2hoKH/0R3+E1Wp18Uh6c8zk10EpR/V6PatWrWL58uWyTbnA241XShkREBBAbm4u+fn5DA8PU1BQwA9/+EM2bNjgUgFkOqCs/+7+tYnm4P5+8VmIECf3174pXnP6Khc+Li6OHTt2UFhYyMKFCx+4ZU9HQSVuL8oSRNPh5iwuFhO16BPxWcLK6q0H/NdFlEhKT09n8+bNZGVlodVqSUtLczk8vF2YToS4LYeHh7uUn1EiKkiIEBFfQxnrKhK0lO6+tLQ0lwQ1b/4MlAeIVqtl06ZNzJkzh+joaCIjI33iMqlkfHxcZjyLrkzT6RL5dREx18pndbqVjPyqKBNnlYi19ubnEFwtyGq1mvnz5/OTn/yEdevWkZuby5NPPvlA3s50QXz2Io7+q4Q6CuusqMCgPC8nY/5e89S7b87169fLbHxfQFi2pqMlS61W+2Ts45cxPj5OYmKiiyKjZDoJH4GyzJe7NU5cPpR9t30R90MwLi6OgoICbty4weLFi2WYEnh/C1zlXFQqFYWFhRQWFk743um4X92ZSLnxZZSVTURtTW/ej4+Ccn8qlZvpMl/35ys5OVk2dRFMh1CBL+LrGNzE5XIiJmP+XrcrlD24Bd7stvPjm/hK2Z2JGB8flx3rABdrwXSKVf6muF+Ui4uL+Y//8T/S3d1Neno6c+bMka9NF5kz3Sw5fr4eogyRr3pDlIgQQlEpw1f2tejQ6I0J2o8bZRmxyZr711ZeDQbDpPxib8XX5we+P0dfnx/45/i4uHTpEu+9996U/C7/Gk5/fH1+4J+jL+CL8/PtK5wfP378+PHjx48fn0LlC1mofvz48ePHjx8/fr4d+C2vfvz48ePHjx8/fqYNfuXVjx8/fvz48ePHz7TBr7z68ePHjx8/fvz4mTZ4rFSWwWBQAT8AfgLMAdTAXeBV4F+NRqP9C759WmIwGF4C3rj/3z80Go2/8eR4JgODwbAF+N+A2UAM0A5cAX5uNBrPeXJsj4rBYHgZ5378IhxGo3H6dStQYDAY/hZYCOQAscAY0Ah8CPyL0Wjs9dzoHh1flzXfln3qji/KU3d8fY6+Nr9vgayJAbYDW4ACIBmwABU45/iq0Wh0PPwnTB6etLy+DvwWyADeBX4NaIF/BN69vwl8BoPBkAL8MzDs6bFMFveVngPAfOAwzrW7CjwFnDUYDN/z4PAmg+vAXz/kz/H77znkkZFNLn8BhABHca7h7wEb8D+A8vt7dzrj67LmOt+OfSrxRXnqjq/P0Ufn5+uy5jmccyoBLgC/APYAc4HfALunao4esbwaDIangZeAemCx0Wjsuf91DbAb2AF8H3jNE+ObbO4v5qtAL/AB8B88O6JHx2AwJOKcRycwz2g0dileW4Pz0Py/gH/3zAgfHaPReB2nYvAABoNBWJVfmarxPEbCjUajyf2LBoPh/wb+M/D/A6ZlocBvg6z5Fu1TwDflqTu+PkdfnN+3QdYAVcA24GOlhdVgMPxn4CLOOT6DU6F9rHjK8vrM/b//XiwwgNFotAL/7f5//2zKR/X4+HNgLU53woiHxzJZpOHcPxeUiiuA0WgsA4aAOE8M7HFjMBjmAkuAVuBjDw/nkZlIcb3P7vt/z5qqsTwGvm2yRuJr+1SBL8pTd3x9jr44P5+XNUaj8bjRaPzIPTTAaDR2AL+6/9/VUzEWTymvoll83QSvia/NNxgMkVMznMeHwWDIB/4G+Eej0XjK0+OZRKpxxrosNhgMscoXDAbDE0AYcMwTA5sC/uj+37+d7jFMX8J37v9d7tFRPBrfGlkzAT63T31Ynkp8fY4+PL9vs6wBsN7/2zYVv8xTCVviVpIxwWuZin/nAecf/3AeDwaDIRB4E2jC6X71GYxGY5/BYPg/gJ8Dtw0Gw4c4XUBZON0KR/n88PQZDAaDHvge4MAZ4+MzGAyG/wCEAhE4E7hW4FRc/8aT43pEvhWyxh1f3Ke+LE8Fvj5HH5/ft1LWgFzXP7j/38NT8Ts9ZXk9cP/vvzQYDNHii/c/gL9WvC9qSkc1+fx3oBh42Wg0jnl6MJON0Wj8BU5XSSDwh8B/whnQ3Qy85h5O4CPsBCKBQ0ajsdnDY5ls/gPwfwI/w6m4HgY2Go3Gbk8O6hH5tsgad3xxn/q0PL2Pr8/Rl+f3bZU14DRwzAUOGo3GT6biF3rK8voOTqtAKU6r3X5gFFiP03JXjTPObtq6ugwGw2KcN8u/n+4lox6GwWD434H/P/BPwL8AHThvlf8P8HuDwVBkNBr/dw8O8XHwk/t//5tHR/EYMBqNiQAGgyEBWIZTIF0zGAxbjUbjVY8O7pvj87LmIfjUPv2WyFOfnqOvz49vqawxGAx/DvwVUIkzYW1K8Ijl9X6w7zaclp4OnBP+IdCC0+Ij6kpOS8udwjVSxeeB2j6FwWBYDfwtsN9oNP6l0WisMxqNo/eVnO04k0T+ymAwZH7Rz5lOGAyG2TiVuhbgoIeH89gwGo2dRqNxL7ARZ+3eN77kW7wWX5c1E+Fr+/RbIk99eo6+Pj/41sqaP8FZBuw2sMZoNPZN1e9WjY+PT9Xv+krcj9XqA8aBiPuZetOK+wHZ977i2//RaDT+7PGN5vFgMBj+X5y3rT83Go3/PMHrH+BUYp81Go2PvWzGVGAwGP4RZ5bsXxuNxv/h4eFMCQaD4RpQBMQpM2h9AV+QNRPha/v0WyJPI/HhOfr6/L4MX5Q1BoPhZ8A/ADeBdVMdJuixDltfwEuADnh9Gi+wGWeh4omYjzPm5wzOzhvT1X0SdP/vh5XDEl+3TMFYHjsGg0GHc286ePja+iIz7v/tU66u+/iCrHHBR/fpt0Ge+vocfX1+X4ZPyZr7ydp/g7O+9AZPGDY82R423Gg0Drp9bRHOD2QYZ4H7acn9QPQfT/SawWD4Hzgf1NeneSu808CfAj8xGAz/ZjQaW8ULBoOhFFgOmIDPPDS+yeY5nIH2B3woAQaDwZAH9N+v06f8egDwP4F44DOj0fhVrSZehy/LmgnwuX36bZCnvj5HX5+f4NsgawwGw3/DOY8rOBN6pyxUQIknLa9HDQbDGE6T8xDOPsCbcd7QnjEajRPVSvPjPbyPs47reuCOwWDYizPOJx/YCqiA/2Q0Gnsf/iOmFSIBxmc6Fd1nE/B3BoPhFFCLMy4rAViFs7xLB85KEtOZb5Os8dV96sfPdMCnZY3BYPg+TsXVjtOA9ecGwwPNFxuMRuNrj3ssnlRe3wd24czO0wNtOOsR/o3RaGzw4Lj8fAWMRqPDYDBsBv4E5zpuB4JxxvUcBP7JaDQe8eAQJ437RbVX4CMJMG4cw6noLAcKcZZXGsGZWPEmznX0yM16EvlWyBof36d+/EwHfF3WiBq2apwlFSfiJFPQAtfrErb8+PHjx48fP378+HkYnmpS4MePHz9+/Pjx48fP18avvPrx48ePHz9+/PiZNviVVz9+/Pjx48ePHz/TBr/y6sePHz9+/Pjx42fa4Fde/fjx48ePHz9+/Ewb/MqrHz9+/Pjx48ePn2nDV67zajAYpn1NLaPRqHrYa74+P/D9OfrC/MD35+jfp749P/D9OfrC/MD35+jfp747P7/l1Y8fP378+PHjx8+04Wt32DIajY9jHI+VCdqXPRRfnx/4/hyn4/zA9+fo36eu+Pr8wPfnOB3nB74/x+mwT8fHxxkfHycg4JvZEKfDGoomWOPj46hUKlSqLzSEu/Bl8/Nke9hvHePj49hsNqxWKw6Hg4CAAIKCglCr1Z4emp+vgN1ux2w2ExwcDEB5eTlvvfUWdXV1LF68mJ07d5Kamirf619XP1OJf8/58eO9WK1WxsfHUavVqNVqF2XOZrMBEBg4/VUyh8Mh5ybmp1Ra7XY7wCPLKq/5pMbHx3E4HIBzokJjn0hb/zrau7cgbh4ajQaNRuPp4fj5BjgcDoKCggAwm80cOHCAv/3bvwWgo6ODDRs2kJqaKi8pfkXCuxHyBiaWM9MBpfVG7DeHw+Fi6ZiO85oMxBmiXGclKpXqG1u9/EweynP/q+xVd2ue+F5vRDyLarXa5dy3Wq0MDw9jNpsJDQ0lNDQUcJ3TdEKpr4lnymazMTY2xtjYGHa7naCgIEJDQ9FqtZPyO71KebVYLHKhHQ4HDocDjUZDYGCg/HAAAgICpuUC+5m+WK1WKXx6e3vZt28f+/fvByA5OZmNGzeSlJQk3+8/FL2b8fFx7Ha7tBIEBgZOS5ki5qA8EMxmM+C04viCJedRsNvt0tMFroYRoVD4L5meQ/kcBgYGfuW1UD67AQEBXqsTiL2n0+nk+EZGRqioqODDDz/k1q1bbNiwgR//+McEBwdLo8d0Oz9sNpuUowADAwNUVVVx7tw5zp49S19fH0VFRWzfvp1ly5a5fN83lVGPVbIJa6rdbndRPsW/NRoNAQEBOBwO1Go1er3+cQ7Ho6hUKkwmE729vXR2djI0NERYWBjp6elER0cD3nfrEhZEISTEQ+VNY3zcCFesRqPBbrdz+fJlTp06xaFDh7hw4QI6nY6f/vSn/PEf/zExMTEALg+xH+9hfHwcq9UKgFarnZYeEPfDXuwzi8XC8PAw4eHhD8hRobhNtwPx6yI+G6HQiOfQm59FYZmDzxVrcW6Kf38VAgICCAwMnDZrrJyz8jlUXjKEAQs+37tibb15TcX6qdVq6akDaG5uprq6murqaq5cucJHH31ER0cHDQ0NREZGsnXrVqkLiLBCb0bodYGBgS5r2NHRQVlZGadOneLixYtcvXoVgIsXL2Kz2QgLC6OgoAB4NIv5Y90Bwg0QEBAwofKqfN0XUSqjdrudyspKjhw5wuHDh6murmb+/Pn87Gc/Y82aNYDzljZZJvXJQLk+yr+/TVitVmkNaG5u5l//9V85duwY/f39gPMCNmvWLKm4mkwml1u2H+/BF2SNuEQKRU3Mp6qqips3b5Kfn09hYeED3/NtQLm+02XO7mej0jIslFcxl4n+Ld473WTzw8YqPg/3Z9XbwwOUiHNTuV5NTU289dZbHDlyhPr6enp6euRF+ubNm/zd3/0dcXFxlJaWAk7vibcb89z37ujoKF1dXZw8eZI33niDzz77DJvNRlBQEGazmcHBQQ4ePEhCQgJ6vZ6srCx5tn4Tw91jUV6VGrkw6T+MsbEx9Ho9jY2NHDx4EIvFQkZGBj09PfT19ZGXl8esWbOAz123oaGhREZGEhwc7NWbWQgfs9lMTU0Nhw4d4r333uPatWuAc/EHBgZc3u8tiJuf+w1XhHfA5w+pOFC9eS2+KTqdDnC6QcrKyjh37hzt7e0AJCQk8NRTTzF79mz5fk8pRzab7YHYRz+fI2SH2M/d3d3cvHmTvr4+IiMjyczMZObMmdKC4G1eECXCWtXf38/Q0BD37t3j0KFDnDlzhvT0dObNm4derychIYG5c+e6hLP4Cu5eIXfLo/ByNTc3c/v2bTo7O9FqtQQHB2O327Hb7SQnJ7N48WKZZPm4rV12ux2bzSYTVrRa7YThKo9yyfLmfQuuugFAV1cXt27d4t69e+Tn55Ofn++iqE4ky3p7e2lpaWFkZASdTkdUVBTR0dGEh4d7dO5KK3FAQAA1NTW0tbUxNjbGxYsX2bNnD+Xl5fKcj4yMJDIyks7OTm7dukV3d7f8WeJz8sa1NJlMANJI09/fz+3bt7l9+za3bt3i2rVr3LhxQ75Po9EQHh7O4OAgHR0dlJeXs3jxYjIzM6WSLyzVX4fHorwqByEEhdIVIm4UFRUVtLe3Ex8fz5kzZ/jv//2/MzIywvLly6mrq6OpqYk1a9awfv16HA6HPGjmz5/PokWL0Ov1Xrm4SoE6Pj5OdXU1+/fvZ9++fdTW1hIREUFcXBxr1qwhOTlZfp83KR1i7O5hA+6uEF/FZrNJIWSz2SgrK+Ojjz6ip6cHgKioKH74wx/y8ssvk5WVJQ8+T1nOvdmN5g0olYHu7m4++eQTPvroI+rq6sjOzmbbtm1s3LhRWtC/iTB93AhLq0qloquri3PnzlFeXk5DQwMXLlzg1q1bAISGhhIWFsb8+fN5+umnWb9+Penp6YBrJvB0xt3drLz4d3V1UVFRQVVVFdeuXePQoUO0tLQ88DMWL17MX//1X0vl1WazPdbnV8hPJeJcVK6HcJd/3bABjUYzLdZVyKre3l4+/fRT3nzzTbq7u/nBD37ArFmzCAwMxGQyScV+YGCAzs5ORkZGMJlMVFVVcf78eTo7O0lPT2fNmjWUlJQQHh7u0Xkplc2uri4OHz7MkSNH6O7uluEB4Gpdj4uLIyoqiuzsbLkPAa+OwRcGHYfDQWNjI+fPn+fEiRNcvHiR2tpahoaGgM9lrsPhYHBwEIDg4GASEhKIiIhwmd83meuknnjuN9fu7m7Onz/PpUuXaG9vx2q1olKp0Gq1qNVqOjo6GB4eJjQ0lLa2NumKvXHjhvwArl+/ztDQECaTidbWVuLj4wkMDGTu3LkusV/ehDIsYmBggM8++4w9e/Zw+/ZtcnNz2bJlC0uXLiUjI+OBDTvRz1Le6B73hlYmJvX09PDee+9x/fp1EhISWLZsGYsWLSI2NnbC71XetLzt4P+6iJirgIAAmpubKS8v5/Lly/T395Odnc0LL7zA888/T05ODvB5wPpUCxxviI0Sc/fGNVe619va2jh69CgnT56kurpauu/GxsaYPXs2S5cu9UrlVcg5u91OZ2cnn332GSdOnODOnTt0dnbS1dUlZSfA8PAww8PDfPrpp7S3t9PR0cG2bdvIysryem/VRDgcDllKSDxj7rLSZDLR1dVFXV0d586d49y5czQ3N3Pv3r0JFVeAe/fuyZ8Lj8/z9UWlgW7evElLSwsajYbg4GDGxsZoaWnh7t27tLe3YzabpVdLeFfgc+XdarVit9spKChgx44d5Ofny9/pLfsXcDFeAQwODnL69GneeOMNDh8+DMCCBQu4evUqycnJ9PX10d3dTUtLC7W1tdTX13Pv3j1GRkbo7e2ltraWkZERSkpKWL58OVFRUahUKo/OW/zexsZGPvnkEz744APOnTsnz0VwVVx1Oh2rVq1ixYoVZGZmkp2dLd/njQYipUEH4OzZs7zxxhuUl5fT1NREZ2enyzMUHh7O3LlzsVqtXLhwAYDExEQ2bNjAggULgM/1DY8rr8r4zoaGBsrKyvjwww85e/asi3B96GACA7Hb7dy7d09+7d69e1y+fFn+v7+/n5s3b9Lc3ExKSorcMN7wsIqbshhHS0sLBw8e5K233qK8vJy4uDjWr1/PH/zBH0gh82VMtVKgVF77+vrYvXs3J0+eJCIigvr6ehobG5k1axYJCQnExcVJRTUsLEzeyMC1XI+nlauvg7sLo7GxkY8++ojjx4/T0dFBREQEW7du5eWXXyYjI0NeLDx1gRIJj4ODg1gsFoKDgwkODn7sn7myBIyYuzclBgmvgQgVaG1t5d133+Vf/uVfqK+vd3lvX18ffX19LiWVHlZeaaoRe1GtVjM8PCwPjKNHj8oxBgUFER8fT3h4uPSY9Pf3093dzdWrV4mIiGDOnDlkZ2dLGW2xWLzSUqdUcOBzF7q7RdRqtTIwMEBPTw89PT20t7fT0NDAnTt3uHTpEjdv3nR5f0hICKGhoYSEhEjv0YoVK5gxY4Z8z2TvWyH/hCwZHR2lp6eH4eFhbDYbjY2NnDt3joaGBkJCQggJCWF0dJSGhgauX7/u4kb+Mj777DMSEhKYMWMGERERXvEMCkRGuVqtprOzkzt37lBXV8eZM2e4ePEi4Fzn27dv884775CQkMDAwAD19fVUVlZSXV3NyMiI/HmBgYFERkaSmprKwoULyc7OdrEGTrUeoJQ1VquV8+fP8+abb3LhwgWZxyJ0g7CwMMbHxxkZGSEjI4MVK1bwzDPPyP3tTTJUIPaxeDYDAgK4efMmb775Jm+++aasbiJk7djYGAEBAaxZs4bS0lIqKyu5e/cu/f39LF26lJKSEvmzlfrG12VSTlylK8rhcHD16lX27dvHwYMHuXHjBg6Hg7i4OPR6Pd3d3YyNjU34c5S34Ieh0Wi4cOECOTk5zJs3j4iICMA1scZTiE2s1Wqx2+0cPHiQ//k//yctLS1ERkZSWlrK5s2bZQyvN6I8zNRqtXTFDAwMcOzYMc6cOYNerycnJ4eFCxcSFRUlQzmUsZ/g/fFXEyEsdWIvXblyhVdffZXr168TGRnJrl272LlzJ2lpaS7fM9VYrVbpWhodHeXQoUPU1tZSUFDAkiVLSEhIeOxjmGje3hK3rTxQAA4dOsQ///M/S9edknv37tHZ2eliIfGWeSiTshoaGjh8+DCXLl3C4XAQEhJCQkICOTk5FBQUMHfuXEJCQmhtbeXEiRMcPXqU4eFhBgYGpHU2ODjYa+b2MNyVVyVWq5WRkRGqqqo4deoUV69epa2tjZ6eHgYHBzGbzS6KjiA2NpaSkhLy8/NlRYbMzEwXz9dkKwx2u11e7Gw2G2fPnmXfvn1cv36d0dFRHA4H/f39DA4OEhQURGBgIDabDYvFIt2sX5WhoSHq6+tpb293if30Bs+M8nM4c+YMr7zyCtXV1VitVpeybjdv3qShoUFW5hkZGXlgLVNSUpg3bx7z5s1j0aJFFBYWulxAPFFBRHgC7HY7tbW1nDlzhkuXLknFVSRYJiUlUVxczMyZMzGZTCQnJ5OWljZhYpo3odRrBgYG+Pjjj3nzzTe5evWqS/5LQEAAY2NjREREsGHDBv7iL/6C4uJi3n//fYqKikhOTua5554jMjJS/uxHCdOZFOVVCFi1Wo3dbufSpUt88MEH3LlzB3BuqNmzZxMaGsqlS5cYGxsjLi4OrVaLzWYjPj4enU7H4OAgwcHBzJgxQ7pJdDodw8PDVFVV0dXVhclkoq6ujn379rF06VKefPJJwDviRYWFwOFwUF5ezokTJ6TLau3atTz33HMsWrSIwMBAl4d2ojgoUdZneHiY0dFRtFotYWFhjz3OV/nwx8bGsnPnThwOB6dOnaKzs1O+VllZyZ07d0hMTCQ4OJiLFy9SUFBAeno6OTk5DzyU0wFxq9RqtZhMJi5cuMC+ffukFWfp0qXs3LmTxYsXy/3pKYur8kAwmUycPn2aAwcOMH/+fNRqNevWrUOv12M2m79W/cSJEDF4wiogLIEBAQGYzWZaWlrQ6/XyEFG6Nj2BWBe9Xo/NZuPjjz/mN7/5DY2NjWzYsIEnnniCtrY27ty5Q0tLCy0tLdy5c4cLFy6QkpJCWFiYx6t+iFwBh8PB2NgYNTU1HDhwgPPnz8vY/127drF8+XIiIyNJSkpi1qxZBAUF0dPTQ0pKClqtluPHj9Pb28snn3xCV1cXTzzxBCtXrpTzU8bRegMTJfh2d3fT3NxMc3MzXV1d9Pb2UldXR0VFBXfv3nXx1Al0Oh0xMTGEh4eTkpIi8ySys7MJCQlBo9EQFhbmEic52fJK/DxxJr799tvs2bPnKyumiYmJREZGYrPZGBkZYXh4WIbThYSEEBYWJpW83NxcsrKyiImJeeRYwsnCYrEQGBhIUFAQIyMjHDt2jDfffJMjR4488F673S6TDwWRkZHMmTOHyMhIQkNDSU1NpaioiNzcXFJTU108CZ7axyaTiaCgIFQqFa2trezevZuDBw9iNpvRaDRSucvIyOAP//APWbZsGXq9HrvdTnBwMLGxsYyNjaHRaNBqtV55ZiqfyaqqKvbt2ydDPUQIYU9PD2azmbCwMJ588kleeuklWc+1uLiYH/3oR6SlpTF//nzgwQTab8KkWl7Fv6urq6mpqZGvW61WAgICCA8Pl9mBRUVFhIaG4nA4KCgoYMaMGQwODpKUlERhYaFUbHU6HbW1tXzwwQeUlZXJn9vf38+dO3eYPXs2KSkpHs8SVpq/Ozo6pIUEoKSkhM2bN7Ns2TJpKRYB9hMhXB8ajYY7d+5w+fJlEhMTWb58OcnJyROWTpkslC7gyMhInn76acDp8qqsrMRsNtPf3y/XuaGhAbvdzpEjRwgNDSUvL4/t27fzzDPPkJOT4zWH4lfBYrHIWKOmpib+/d//nb179+JwOFiyZAnbtm2jqKjIKy5KyrAMu91OfX09zc3NtLa2kp+fT25uLtnZ2ZPiGhbCyz2xxGKxyGD9mTNnsn37dqKjox8In5lqlJeK06dP83d/93dcvHiRJ598kv/yX/4LK1asoLOzk9OnT/Ppp5/y0UcfUVlZyf79+5kxYwZr1qxxUe6mch5KV7NKpaK5uZmzZ89y8OBBrl69Ki3HsbGxfPe732X16tWAs/B5SEgI4+PjJCcns23bNnQ6HWazmbNnz7J3716OHj1KQ0MDCQkJ5OXlufw+b8Nms8ns5IsXL3Ly5EkqKyvp7e2lu7ubwcFBuSfdCQkJIT8/n1mzZjF79myWLVtGYWEhERERX1gVZbI+B2W41Pj4OE1NTZw8eZKysjKpuGq1WqnYTER4eDjFxcWkpaUxMjJCX18fra2t0oU+MjIivS4Oh4PExEQWLVpEXFwc4Cy1JJQqTyKUnlOnTvHzn/+cU6dOyf0tPK0RERFkZGQQHh6OxWLBZrMRHR1NRkYGOTk5JCUlER0dTXJyMhkZGYSEhDzwezwla4R8HRkZ4ejRo7JdeEBAAGFhYfT19QFOHeDP//zPCQkJwWw243A4vL4UFrjKUhHLKxJDwRm7LPZYXFwcmzdv5sUXX3QJDRBVJJSXi8lYr0kzGylr0/X398saZsIVEhgYSG5uLmlpaYSFhTFv3jzCwsKw2WwkJCQQHR2NxWIhPDxcFuoVJCcno9fryc3Npbq6GpPJREpKCtnZ2V6hSIBrjJwQVkLRzsnJkTdIwReNWyivAQEB3L17l9/+9rcsWbKExYsXExAQIA/UxymYxHqGhoayYcMGYmJiaGxsZGRkhJ6eHm7cuMGVK1fo6uqS3zM0NMSlS5dobm6mvr6eJ554gnnz5pGVlSUFjrceluDqrqyvr+fy5cvS0lFSUsKKFStc1lBUInC3TIqyPVNllXU4HAwPD8t/V1ZWcvv2bWbOnCkFpLD0u9cHFUqmcj8qs5yVrynb/t25c4czZ85w6NAhbt68SU5ODoGBgWzatEmGLEy1BVa4SHU6nVSsf/GLX3D27FmKioowGAysWLECcJY5W7RoEY2NjURGRtLa2sr169eprKxk+fLlMk5tqpVXEf4knv/Tp0/zq1/9ioqKCoaGhhgfHycuLo4nn3xSKqDgtDQq47XVajWrV6+W4Vx79+5leHiYM2fOEB4ezvLly5k9ezZZWVnS5Sk6Gk41yktYQ0MDt27dor6+no6ODlpaWqipqaGlpYWBgQHMZrNU+sTzFhUVxcyZM0lISCA5OZmcnBwyMzNJSkoiKSmJtLS0KU2AcZdxFosFk8kklTVh+dVoNMTExMjLZkxMDGNjY4yMjJCUlERRURFRUVEMDQ0xNjbG8PAwN2/e5NSpU1y4cEE+88Lr6S1WO3Heiwvg8ePHef3117ly5QoAaWlprFmzhhkzZjA6OkpYWBi5ublER0fLNQ0ODiYyMpLo6GiZT+Gu7ImOnKLZ0VRiMpmkgWl8fJy33nqLf/3Xf+Xu3bsALrGf2dnZrFmzRp6B3piM9TDEvuvp6eHYsWPs27ePqqoqgoKC0Gq18nzMzs7mr/7qr1i3bh1xcXGy3e2jxLR+GZNyuiqzrAMCAoiLi5N1vcQDGxoayrx585gzZw7x8fEuSoA7IjtTZOYFBwfzxBNPUFhYSF9fHzabDb1eT1hY2AO3ME8pRkJR6e/vp7y8XG7ixMRE5syZQ1JS0gN14NwRSoM4MBsbGzlx4gQ3b96koKBABqVPhYtExOk4HA4SEhIoLS3F4XDQ29tLX18fFRUVZGdnc/PmTRwOBxEREbKMSXt7O7t37+bKlSts27aNP/iDPyAjIwPAJQ7RW1AqPXa7nevXr1NWVibLYs2cOVMe9CqVSrrDvqyG8eNEuf4ajYbs7GzOnDkDQE1NDSdOnCAqKooFCxYQEhLySALTbrfLA7i/v5/q6mqOHz/O/v37ZWhQT08PKpWKxMREGcqjjMudCiwWi3S9DQ8Ps3v3bvbv349Op2Pnzp1s2LABcApknU6HVqtFq9XKz2Z0dJShoSGPJmsp91NjYyNXr16lqqqKwcFB9Ho96enplJaW8tRTT8nDXJlzIEK37HY7er2eTZs2MTg4SG9vL+fPn5fhV+Xl5WzZsoWtW7eSk5MzYRmnx41Q8lQqFWazmVu3bnH48GE+/fRTamtr6evrk4ejEhHao9PpmDlzJrNmzWLWrFnk5uZKt7L7uTCViTDKEkEBAQEkJyeTnZ1NVFSUrE8qLgypqamsWrWKF154geTkZHp7ezGZTERGRkovnaC/v5+EhAR6enq4desW/f396PV68vPzyc7OlqWkxN72FEqvUHNzM++++y4ffvghZrOZtLQ01q5dyx/8wR9QXFyMxWJBrVYTFRX1pT9XWVbMk2UJwbVUW11dHW+99RY3btwAnF4RcXbExsaydu1aZs+eLRU5UTlE2fbeW5swqFQqWYN///79co7uoWhbtmzhpz/9KYCM29bpdPIzehwl+iZFeVUe4gEBARQXF7Ns2TLOnz8vqwyEh4eTmJhISkrKhOZyMTmxsO6WRZVKJYv6ehNirGq1GqvVyo0bN/j000/p6OggIyODH//4x2zbto3ExETgixNBhOI6MDDAxYsXefvtt/nwww+JiIggPz+f4OBgwHMbXFxMYmJiSEpKYv78+bIIs06nIzAwkKamJk6fPi3dnGq1mmXLlknl1VuyuJUIhVqUNvvwww95/fXX6ezsJCMjg61bt7Jw4UIXZUE8nJ5CGQ4QGhrKjh07GB4elpZQkdlcX1/PmjVrSElJ+Ub7pr+/n6amJqqqqqisrKSurk7+aW5uBpz7YmhoSBaDFyjjcqcK8Xy1tbXJC+TSpUtZsmSJy3pN9Bx6sjuTePbF5yXqCvf19ZGfn8/Q0BAJCQk8//zzbN++nczM/4+9/w5v+8rvfPEXQBIAe++9F1EiVaguq1q9WbI97nYmM5nZ7yRzczOb3PySvbnJ3Wd3s/u7yUzKYG4y1RnPuHfJ6o3qjaJISiTF3kmxdxAkiPsHdI6+gChbtkUCpPF+Hj0U0XgOTnufT3l/UvDy8mJsbOyBYiKOlr+CggLWrVsnizIIUXERZ6fX6+0SEGcqyUd9kR0YGODMmTN8+OGHlJSUfK5L3Wq1snLlSvbs2cP8+fPx8/PDz89PamZ+npaqOvRlusdZ7BEinEpNRoXbXHhEwsPD8fT0JDIycspYepPJxIULFzh+/DjFxcUyGWj+/PkyfCQkJIShoSGnhQuIeSfyPurq6jh48CBXrlxhbGwMjUbD+vXr+e53v0tBQcGXuixNVTLXGYYDMX/Ehbezs5MDBw5QW1srX6NOPPfz85Ox12oDnyhYob7AuVLsuYCnpyd3796lsLBQEldx9hgMBvLz88nPz2fXrl3yPcLwpcZ0jNVjI6/qgUlMTCQzM5OysjJJXv38/AgODpYEwPHGITqntgCo3Zvq25yAM3Q1HaG2gg4PD3P16lWOHTuGyWRi5cqVvPTSS3YZrVNBhFgI90dlZaUM7jebzYSEhBAaGio3+pnqs7DkiKpaYoGJ+OWAgABSUlLs3rNixQoyMjKYmJjgV7/6FWVlZZw7d46cnByio6NdTpMXkBclq9XKzZs3KSwspL29HbBpD+7fv1/WYh4fH5ckaHx8nObmZgYHBxkZGWFoaAir1UpQUBCxsbGEhYVN25iJNSLas2XLFjo7Ozl//jzDw8PU1tbS19fH3bt3aWtrIyEhAQ8PD3x9fQkJCUGv10sLXWBgoNRJFJtzd3c3VVVV3Llzx46wtra22un5+vj4MDw8zOTkJD4+PnYEcSbDBeC+eHZ1dTW/+93vKCkpkZePzMxMedFU70HqcA/19zrTmJyclMl1YEuIfP/994mOjkav12MymfD392f58uXk5uZ+7mep49ZFPOT69euprKzk0KFDjIyMMDw8zM2bNxkdHaWnp4edO3eSk5Mzoy5N9fwQLvSQkBAMBoNdqWyRfBUWFoavry9RUVFs3LiR/fv3T2nMGB8ft4s7Vcu5zSTU/UtISGDVqlU0NzfT3t4uk0N7eno4e/Ys8fHxrF+//oE9cnR0lJqaGk6ePCmJq7g0pqens23bNvbu3UtKSgpms1mSRGdAnNHC23L27Fl++ctfcvPmTQwGA2vWrJGGAA8PD0wmk8z9EGMmoD5rxPnqCiGCgnOIWOYPPviAd955h97eXkna+/r68PX1Zd68eTzxxBMsWrRIklehWezshNCHQc3LJicnqa2t5dq1a9IQoNFoJF9JTEzkueeeY926dSQmJjIyMiIt4p6ennbFNsRnq2P6v+54PrYVrb7NigovarY9PDwsZTwEvL29pTXRcYNRd1itFersTGZHqIlPZWUl165dkxmTMTExMgPbbDZPWW5VQPRnZGSEwsJCzp07J60PYlE4s89qEvZF7YiOjpZu9oqKCk6ePElOTg67du2S4+3MTH0BdfY82ApifPbZZzIpJigoiAULFpCbm4uXlxcmk8kuLvDGjRt88skn1NfX09HRQXV1NWNjYyxYsICnn36azZs3ExsbO62bruiDl5cX8+bNY8mSJRw8eJDJyUl6e3s5f/48paWl6HQ6OW6BgYGEhoZisVgYGxsjOzubhQsXShUMEdN64cIFWlpaZFzv+Pj4A0RveHiYiYkJgoKCKCgosLuozVTJYEHCBXn97LPP+Jd/+ReGh4d56qmnWLt2LTExMUxOTkq3Kri21JeHhwe9vb00NjbK9sbFxeHv7y9f8yjx42JfXbp0qcxu/t3vfkdfX5+MXxfxpS+88AIrV66UiUaCYE0XxPq3WCwyOXR4eFgmJgmrZExMDC+++CKbN28mPj4evV6Pj4/PQysqCXess88INUEJCQnh+eefR6PR8N5778k9Rmj3Dg0N0dvby969e4mPj5fvu3r1Kr/97W85c+YMnZ2d8jsBmD9/Plu2bJFrTsTROgvqgjojIyOUl5dLa92SJUv48z//c9avXy+tzuqLrjjj1HD2+DlCHf/e1tbG4cOHeffdd7l8+TJWqxVfX19pUY2Pj+fFF1/kueeeIzg4WIZCinPcFebnVFBfQLRaLUVFRRw7doyuri45t8bHx/Hz82PdunXs3bvXbs9XW5Lh/hiqreVqPvd18NhiXtX/Dw8PJyIiwu7QLi4uZmxsjMjISDmAUVFRREZGyi8rMjKSiIgIQkJCiIuLs3v/xMTEjB2GjwJH4nP9+nXefvttKbqclJREWlqa3KAfdihaLBY5KZqbm/nwww85evQoLS0tgE3XbtOmTZJAwcy7S6YirGKRqqVKhPSFIOrCKlJcXEx5eTn79+8H7lfMcQXyqj6gy8rKOHLkCI2NjcTHx7Nnzx6efPJJ6e5TW1yPHDnC22+/LatuCUst2Da24OBgkpKSiI6OntZCGurDKi0tjT/6oz8iISGB06dPc+fOnSm1Eh0hqthotVqpo1lSUiLneFRUFGNjY/T29uLp6Ymvry9ms1nqNUdHR7Njxw527dpFamqq/NyZindVz8++vj4uXbrE8PAwCQkJ7NixQ1auEVY4NUTiATiXuGq1Wnmxq62tpbq62s4js379evbt20d0dLSdpvXnfb/qBDsfHx+WLl1KS0sLBw8elIohk5OTNDU1ceLECRYsWCAT2sRzM7HXiP4EBAQQGhpql5QFtpCz5cuXy7ap3yfaqM5idgWPHNwfGxGLnZeXR39/P83NzQwMDNDZ2SkLjFy9epXBwUHq6+spKCggKipKlhg9dOgQ7e3t0l0dFBTE/Pnz2bFjB/Pnz5d7rrOLTqjDBxsaGuySeefPny9jzuG+8cKZSVdfFuoCCF1dXRQXF1NVVSX3DbHPinCONWvWEBERATy49zQ3N1NWVobJZJKhBaJsqsFgcFoIgePZ3NvbS3V1tcwzmpiYkHkNO3bskGWnp0rMehRr+dch8Y+VvIrDOTo6mvnz55OXl0dnZycjIyOUlJRQXFxs976wsDBpmfTw8CAmJoaEhARSU1NZunQp8+fPlxZcZxMdR4jNXRx8t27d4uDBg9TV1UnZoIKCAvn6qW7EFovF7iA6ceIEP/nJT+ziZxYsWMArr7xiZxFxhUXuaPZXH3SOB+vQ0BB1dXV0dnYSHR3tMoeL2lIAyGQksClc7Nq1i+XLl8uKKCIJ5NSpU/z93/8958+fl+8V7hJB6IuLi7l48SK5ubky3nk6yKuYExaLhZCQEHbu3ElKSgrBwcEcPXqUO3fuMDo6Ki8bAurvX2idCgiXj06nY+nSpcTGxlJRUcHQ0BDj4+OMjo5KcpGYmMgzzzzD/v37yc3NlVmmM2lZEMkDk5OTFBcXU1dXh06nY//+/Wzbtu2BxBc11ETJWXNSPS96enq4fPkypaWlMjxjyZIlfP/732fTpk2yyMCXaav6MEpPT2fVqlUyGUqEJLS1tdHQ0CAlltSxhdMN0ffR0VHu3LlDQ0OD3fPe3t5SwUJ4APR6vcslfj4M6rMrKyuLDRs2UF1dzd27d7FarXh7e8u5W1ZWxoIFC4iNjaW5uZna2loGBgaktJbJZCIvL49XX32VHTt2yPUm1DGcCbH/j4yM0NzcLMmrsOKVl5eTnZ1tN99d1X0+FdTf79jYGENDQ/LcEzkvYNM13bBhgySugExM0+l0dHV18dlnn3Hs2DH6+/sJCgoiKiqKhIQEFi5cyLJly+S4zrTaiaNVtLe3V1r7hbFi8eLF/OEf/qGdHJZ6LaqtyyKHSR0yIPjc1yXo01IeFiAnJ4dnn30Wq9XK6dOn6e/vf+D1XV1d9PX1yUSFmpoafH19CQwM5PTp0yxatIglS5awdOlSuXm5ah11dVWUxMREtm3bRn5+vnxePSFExQpBJsbHx6mtreXq1auSuBoMBhYvXszu3btZuHChXeyvq/Ud7Pvn7+9PUlKSrBMPUFVVxYULF3jyyScJCAhwyU3LMdBckDiNRoOPjw8TExNcv36dt956S1rYBeLj43nhhRfQ6XR88sknFBcXc/LkSVatWiXJ63SSI8e199JLL5GZmUlJSQkVFRXcvHmTxsZG+RqhqThVtbvw8HAKCgrIzMzE09OTuro6mSEtMkkB1q1bx/PPP8+aNWtISkqyS8ScKSIoiJlGo6Gjo4OrV69SU1NDYGCgXfUd8Tq1haC/v5/KykqZZCYywJ1NAtQXDY1GQ2pqKnl5edIy+2UT4QSx0Wg0pKSk8L3vfQ8fHx8+/fRTuS+LCk1VVVXk5ubOqJdL/B2xJwoXqyBs6r1SvferD0RXuAw/DOKCCffX1oULF7hy5Yr0/ghN3omJCUpKSqipqZHKFyL+EGwhP4sWLWLDhg12Z+JMqnp8EcRlUpyHFouF69ev81//639l4cKFFBQUkJiYSFxcnB3pEeE/zrYgPwrEeKpd6V5eXmRnZ/Pss8+yc+dOgoKC5PwcGhri448/5ubNm7S2tlJbW0tLS4sU9gcbh9i8eTNJSUl2UlMzdd4LD7inpyeDg4OcO3eOS5cuYTKZZFwy2IyOQotfxLmKOPWWlha6u7vRarWyEp4oBmM2mwkMDCQlJYW1a9eyfPlyKTX2VYxy00ZeIyIiyM/P58yZM3KD9PPzQ6fTMTo6Kq1F4gsDW8bpwMAAbW1tVFRUcO3aNW7evElDQwOrVq0iMzNTbuDTIb3wZaC+ofT29tLT0yMndHp6upRVEjJDBoPBLtRAxCf19PRQXFzM8ePHuXjxovz8nJwcXn75ZXbs2GEn++IKVteHQRw6QmA7Li5OPme1WhkZGcFkMtllXjoz9sdx/ojMbbivmzk2NiZJWXd3N8eOHePSpUvywBGJStu3b+fll1/GYrFQW1vLjRs3KC8vp6amhpUrV0pX0HT1Q1geRTKAqEKTn59PaWkpcXFx0poXHByMwWCQlYtE5qhIDly/fj0bNmzAy8uLo0ePcuPGDRoaGqR2o5C8ef755/nud79rd8ue6TXpaDmvrq6ms7OTkJAQuwvS2NgYHh4ecv8YHh6mqKiI4uJienp65HfoDPKq/ntms1kK8YMt/EitkwxfXrFDkKfx8XF8fHxYs2YN4+Pj9Pb2cvr0aXmBqays5Pjx4/j6+pKcnCzn1HSPqeiPuPQmJiZSV1cnL0mjo6OcPXtWaoJGRUURFRVlR9jUGreuCHXMX3JyMhs2bKCjo4OSkhLa2trkGWkwGJiYmJC/e3l5SVWGtLQ0Vq9e/UBcrKsQPdFHnU5HfHw8CxcupKSkhP7+fi5dusSlS5c4efIkGzZsYMGCBWRmZpKenk5YWBgGg0EWkYD7hY1cdTzFd65O+NTpdERFRZGRkWF39pnNZgoLC/n5z3/+gNEDbPNbEMMjR46wefNmEhMTZ1QrHOwvxcIQUFlZyfj4uF0Ma1RUlDwTxbnW3d3NxYsXKSoqoqenBy8vL4aGhrh9+zZXrlyxK70tqsbl5+dL6bCvEqI0bd+MxWKRpesExMGqTv4QG9BUG3J7ezsnTpygtLSU8+fP853vfIeNGzcC928kzgonUG8YbW1tlJaW0tHRIWsvO7oqxQ3b0Q1w+/Zt3n33XQ4ePCizSOfNm8euXbvYsmULsbGxwP2bnatsVFNBLXMWGxtrp92Xnp7OypUriYiIkAepOonIGVBfQARhEItMhK+orYnj4+O0t7fT29srCV9GRgbbt29n//79ZGVl0djYKGVv1JmWM9Uf9dzy9vYmKyuLxMREVq1axcjIiEyWaG5upqqqiu7ubvz8/KT7OCIiglWrVuHr68uJEycoKiqiqqpKji3YCNXevXtZuXKlXciQM+K01N+vyWSS+oqOlih1fPbw8DAHDx7k/fffp7y8XF5anDUX1W79vr4+ioqKKCkpwcvLSxYnEZYY+OqKCOrDIScnhw0bNnDnzh35nTU0NHD48GEyMzPtdJln0qqXnZ3NypUruXv3rjw7Wltb+elPf4q/vz/JycmsWLGCFStWkJSURGRkJAaDwSUuw58H9Xfv4+PDpk2biImJ4ezZs3zyySeyGqMoGiLmqyBxkZGRbNq0iddee43FixcD9jKNrgJxkY2Pj+fb3/42wcHB/OIXv5A5HB0dHXzyySecPXuWsLAwoqOjSUlJYfHixWzbtk16qcS8c6W+OWKqS53ZbLbjPF1dXRw4cIC33377gbBJAbGvgi3E7vDhw8TGxrJ+/XqZfDjTFzOz2SzPC7DNy8DAQJYtW8by5cvx8PCQqiWenp6cOnWKf/mXf5H7ljAEiFAXNYSRQVxOv2qI0rQxv8nJSfz8/Fi1ahXDw8PSdCzKpYWFheHp6UlfX5+sAyxunSJz2MvLi4GBAYaGhmhpaSE6OprMzEzi4uKcXqXC0WInxLQ1GpserXCZq6V5wHao9vT00NPTQ1VVFceOHePMmTOSuEZHR7NlyxZ2794tg6HF57g6HCeh2iUUGhoq+yPCJpwdOqAew+7ubjo6OmT7RQC9GmNjY7S2tsrkrLS0NPbt28dTTz1FRkYGYLPCiwUtYrrVxSWmcxzV5FUcfp6envj7+9tlqQOkpqaSkZGB2WzGx8cHrVaLyWSS1VEaGhq4evWqLEKh1+tl7FNWVhbPPPMMmZmZ8tbsCsmUIoYckJcLAW9vb6xWK01NTZw6dYr333+fU6dO2VUpcpYnR/03hfyYIGFCeF/sjV/1QFfPDeGaDQsLk5ZosM3dW7du2SXazIRWr/rzxZrS6/WcP3+eyspKent7pYJLVVUVvb29VFZWEh4ezsKFC1m/fj1RUVGyfzOVaPZVIMY1PDyctWvXEhsbKwnc+fPnZey5iDs2m80yqau7u5uRkRH5Wa5maVbPY29vb/Ly8vD39ycoKEhWBOvq6qKiokLG2RcXFxMZGSnDJDZv3kxmZqbLl04VhFI9z/z8/EhJSSEsLEyGQJw6dYr/+I//4MqVK2g0GqlIIAqkeHp6YjKZGBkZkYlrVVVV1NTUsHbtWlkCeSbGWm1AbG1tpaysTF5sweZRLSgoIC8vD5PJxPHjx7lx4wYWi0VKTD4M/v7+BAYGyvktSuTCV0+UnbawAU9PT9LS0oiLi2P9+vUUFhbywQcfcOHCBWnd0el0cnMSVYDa2tqoqqpidHTU7tAcGxvj5MmTxMXF8cwzz0i3yUwHNE8FEfMBtptlbW0tXV1dhIWFAfdvkVarlbq6Oq5fv87Fixe5ceMGFRUVkgzFxcWxbds2du/eLXVFxQJx1c1YDceDX70Yuru7qa+vl+EUrpCAJ75Ts9lMW1sb3d3dgG3uimpbaoyMjNglk2zYsIF9+/bZCbz39vZSW1vLxMQECQkJdhcQx8+bTnzR96vT6UhMTJSHqQiREPO4oaGB27dv09/f/8D8mz9/PgsXLsTLy0sqSzibuIKtz+pCEoLIgs3aWl9fzyeffMJHH31EeXk5VqsVf39/xsfHZflOZ6wz9f4VFhbGsmXLOH78OA0NDVKCBx4fkRTWuqnGbGBgQBJFmBmXtPo7DwoKYtOmTaSlpZGRkcEbb7xBWVmZfH5sbIyrV6/KanJr1qzBbDazfft2wsPD5etc1QLraCFOS0sjIiKC2NhYTCaTXeKk8ExOTk7S09PDoUOH8PPzQ6PRsGzZMrvqRa50Pqj7mJKSwp/+6Z9K0nr79m2uX7/OhQsXpBxaR0cHJ06coLKykoqKCl566SWWL18uw11ccRzhQU+Xv7+/TFTXaDScOXOG999/n6KiIoaHh+U+GRQURE5ODpGRkfIiJvTwRaiAo7djur8D4RUWqK2t5fTp0w/kOgwNDdHU1ERtbS1vvvkmH3zwAWaz+YF8B3WYjNVqxWQy2fVBPV/Vr/8ymDYGIRrq7e1NZmamrD+9bds2AgICSEtLQ6fT0dLSwuDgIAEBAej1eoqLi3nvvfcoKiqSlh5hdSgpKeHNN9/E39+fffv2ERQU5NTbp+ijyMAG2+Z64sQJRkZGWLt2Lenp6XR1dXHnzh2amppoaGigpqaGpqYmOjs77VwMa9eu5bvf/a7U3LRYLC67cB+Gh7W3qamJoqIigoOD7eIRnbU5OWZ43759W2ovCrepI1EYHx+Xlo+UlBSWL19OWlqavIWbTCZu3bpFWVkZPj4+5OTk2B2ozuin2JTEPxEYr9frHyCd6v/X1NRw69YtxsfH8fX1ZXh4mMDAQHbu3Mn27dvlZuXsmurqvx0QEEB6ejrh4eFYLBbKy8tpaWnBy8uLc+fO8emnn3Lu3Dmqq6sB2LZtG2vWrOHChQscOHCAnp4eLBbLjFeBU/dBiPWHhYVRW1tLQ0MDtbW1ZGdnS2/T11kzYt4HBQXJkJJLly7J50dHR6msrKS8vJzMzMwZrSInXOYBAQEsWLAAX19fQkNDKS0tpa+vjzt37nD9+nU7N2RxcTGvv/46TU1NbNq0iby8PDk3XcGw8TCMjY3JUsYjIyNUVVVJ7xsgJaTAdv6J0syXLl1i8eLFLFq0SJJXdTEfV4Hwrok2hoWFsXLlSlJSUigoKGD9+vVcuXKFc+fOcfXqVcbHx6mrq+PTTz+lq6uLZcuWsWDBArKzs4mNjXW5c1CEnDm6/BsbGxkYGMBgMEgjlfDKTk5OEhwczKuvvsr27dsZGRnh448/pqKiwu6z/fz8HkoGpxOOagqCm4g9vq+vj5MnT0pVkqKiIun6N5lM0tAo8pjWrFlDXl4etbW1FBYWSi+X+MyvO6bTav5SJ3FERESwbds2tm3b9rnvmT9/vhTTLi0tlWZrrVbLxMQExcXFXLlyhSVLlhAcHOwSt08RbC5w8eJFLl68yNmzZ1m5ciXt7e1cvnyZlpYWO2sQ2Caqp6cnmZmZ7NixQ8prCWkNV9uUvgzUi6G3t5e2tjYGBgYICQlxYqtsUF96hoaGqK+vp6WlBYPBQEFBAQsWLJDJSWrSIN4TExMjE880Gg0mk4mSkhJOnTpFW1sbBQUFLFu2zC7RxllVfh4l8F9tDW9vb6eqqkp6BIaHh9HpdKxevZrvfe97dlqgziYH6tCUmJgY1qxZw5kzZzh37hzvv/8+YFufp06d4siRI1itVvz8/Jg/f77sy8DAAAcOHGB4eJje3l5GRkYeqdb644J67xoZGaGtrU0WxBCJq+oCBV/HAqtOGs3NzWX16tWUlZVx584dxsfHGR8f59KlS6SkpBAQEPBAzP10wtEqmZqaSlxcHD09PdTU1HD69Gl8fHyoq6tjaGiIwcFBBgYGOHXqFFVVVdy9e1eW0hZ9dfb8fBiEVBDApUuX+O1vf0tRUZGUERK6rcJqBbZQApFoJ8J9Zjqu/lGh0WjkfBFlUD09PWXhnvz8fLKzswkLCyMsLIz6+nra29tpbm7m3XffpbCwkLVr1/Kd73xHJj+5mtKQuuqn1Wqlu7ubEydOEBYWRlpaGjdu3KCtrY3JyUkMBgMxMTF861vf4nvf+x6JiYlcvnyZ3t5ehoaGpIVSVOgS1Rrhq8eEfhk4hkwZDAa8vb2lUU6ElZWWllJaWipfJ+QhRYVALy8veTHes2cPixcv5tixY1y5csXOUOdYUe2rYNpP0y8rgxAXF8dzzz3Hhg0buHjxIm+88QZXr16VHbVYLHR3d0s5BoGZJq/qSl9JSUls2rSJmpoaO8WAq1evcvv2bSmBMhWWLl3Kzp07Wbx4sV3Zx9lIXNUbS29vr7xxgm2SBwUF2cXYuQrEojWbzXh6ehIdHU1UVBQajYaJiQlJXtUJgnV1dXbSUx0dHRw5coSLFy/i6+vL6tWrWbJkCb6+vnJuukKohBpi4xXExMPDg56eHo4dO0ZRUZG0Kmi1WgoKCti9e7d0iYkELleYo2Lz1Ov1rF69moyMDM6dO0dJSYnU0hwdHUWv18sSq6+88gp79uxhdHTUziLQ0NBAR0eHJG0zbfGZmJhgZGREksz6+npqampkeVj4esUUHN2R69ato6mpibt370qFg/r6eq5fv87WrVvl96AupjLdUO+ter2e6OhoQkNDCQ8PZ926dZjNZq5du8avf/1rabVqbm7m+PHj5OXlSaLvyjqwYi9oa2ujrKxM6kuL3I+YmBgSExPp6Oiws8yNjIzQ2dnJ4OCglGJyZQhCppY1A9vYZmVlERQUxP79+2lubuZ3v/sd77//PgMDA3R0dHDy5ElWrlwpixuI/cZZ5FX9XasTWIUE3/j4OHfu3OHnP/85QUFB9PX1SWNVfn4+P/jBD9i4cSMeHh4cP35chlH29PTIflksFoaGhqaUMJxpfNHerlZcAJs2+sqVKykoKCA6OpqgoCDq6+spLy+XkqgC3t7eX/vsmNbT1DG2USgMCJKjtswKl6bZbCYyMpLIyEjS09MpKSmRbgWRbV9VVcXJkycJDw9n/vz5TokJVR8Afn5+UgUhKSmJ8vJyTCYTo6OjsqoY2DIPhbCxp6cnCxcu5Omnn+aFF16QllshS+FqROdRINpsNpspKyuzi99KSUlh3rx5UrjZ2dqEjvHZvr6+BAQEyDKvjY2NJCYmotfr7bLBRbhDS0sLNTU19Pb2EhAQwPnz5zl06JC0uq5bt05WmzKbzU5PMJwKaqUAcdAPDQ1x/PhxGVMoSuQ+99xzbN68WWa9u2octq+vL9u2baO+vp7q6mr6+/uxWCxSL1roDG7ZsgWwkQF14mBDQwOVlZWkpqYSGBhoVyFvuuaqY+hDbm4uWVlZdvuI+vKrHi810XsY1G0XYSSjo6MYDAZycnJYsWIFH3zwgSSv0dHRxMbG2rkuZ3Ks1aXABWER8m+ZmZmALbRnZGSETz75hNraWvr7+6mrq+P3v/89np6e7NmzR1b4c6XwARFXrdVq6e3t5ciRI5w7d04e7GNjY6xcuZLt27eTkJBAaWmpLH4zNDRER0cH9fX1tLa2Eh8f7/JGDo1GY7e+xJgKy6zIF8jMzGRwcJD29nZu3LhBe3u7LF0s8kecnRTqaJn08/OTpBVshMxkMsnwMzVETsHNmze5ceMGp0+f5tq1azKBXcgcijLbgtfAzKw9x0uQUApwhE6nk9zNbDZjNpsJCAggLy+P7du3s2HDBnx8fCgqKuKzzz6jpqaG6upq6T3w8/Nj0aJFrF+/Xu4vXzVnYkYZknCDTNVQkdA0Pj4uNxt1PWCwTY7BwUHKysqwWq1ER0cTFhZGbGys3YY3ExPc8W/ExcWxf/9+VqxYQWlpKXfu3GFkZAS9Xs/w8DC3b9/mwoULsi+rVq3ihRdeYMeOHXYhB64kNv1loLZ89/b2Ul5eLmO4oqKiyMvLk2ROXFqcCfWGYDAYiI2NJS4ujubmZo4dO0Zubi4LFy7Ez89PzsPAwECysrKkrE1VVRUnTpzAYrHw/vvvc/PmTYKCglixYoU8ZMF1dBgfBvVYdHV1UV5eLl08eXl57Nmzh23btsnkM1ciA/BgOMbOnTvJyMjg4sWLlJaWotPpWLduHatXr8bf35+RkREZyxkUFER2djZpaWlUV1czNDREc3Mzvb29BAYGzki8mcgoFq7gTZs2cePGDQ4dOiS/a/V8dUx2+CI4xjVrtVppaReZzmosX76cXbt2yQIPMHWFwOnG57mIY2Nj+dM//VPCwsL46U9/ytjYGCaTiZMnT6LX6ykoKJCWSVebr2I8bt26xZtvvsnx48flmPr5+bF3717+5E/+BI1GQ15eHikpKbz77rscOnSIiYkJampquH79OvHx8cTExNjNUVffa+B+vKPjusrIyGDZsmXU1tbKkKXu7m5ZdMTZlnT1HAoJCSErK4uIiAhJQD9vn7h58yZ/9Vd/Jd3vwrAFyIQogIKCAr797W+zbt06wHmSYQ9TXhHGNWGIDAwM5IknnuC5555jy5Yt6PV6Dhw4wM9+9jMuXbqERqMhICBAvl9YoLdt2ybDXr4qOZ+RsAFx+DuamQXjFrGEjh0VFaem0gOzWCx4e3s7XVJDHRbh5+dHRkYGsbGxzJs3j5GREbq6ujh58iR1dXWyzF9+fj7PPvssu3fvlrp2JpNJFi+YjVAvXIvFwvDwMAMDA2g0GrKzs5k3b550e4oD1JlQV72JjIxkxYoVXL9+nUuXLtHX18fFixe5fPkya9euleQoKSmJXbt2UV9fz/nz52WFHIvFwqVLlxgbG2P58uUsX74cg8HA8PAwPj4+TpcEexjERU8t3H/z5k1pgQObJTAuLu6BTG5XhNhYDQYDCxYsIC4uTo5FYmKiJKyBgYGMjIxIAhcaGmqno+oMq7K4uIs2BgQEMDo6aldKUbxOyMw5rjmxD4mwDrhPFITrVvwu/s6FCxc4fvy4DJ0QhQJycnLw8fGZcf1e9Xkx1UVeVIULDAyUXoHo6Gju3r0rrTstLS12SV2uMF/FeKjDjk6dOkVJSYmUQhIX31WrVsl+Z2ZmEh4eTklJCYcOHQJs3oH33nsPnU7H3r17paqNq0AtI+U4furfhQyYqM7U2dlJd3e33Xh5enoSERGBl5eXtNg66+xQE8jw8HA2bNhAf38/b7/9NpWVlbISla+vL2NjY4yOjkovqslkekDvVK1qIxLaXnnlFdasWSNfM1Nz13GchGSfo/VV7FNiPkdGRpKbmytzlIqLi/n4449lEqjVapUFN7Kzs3nqqafYuHGjXfy+y5LXqVzgU90iRDa0TqfDYrFQXFzMZ599RmVlpXyNOjg6NTWVhQsXyuQfs9nsFNF79Q1FbEK+vr5kZWVRU1PD4cOH7TIKV69eLStnCeIqFvBcgaenJ3q9XoZHxMTEEBkZabcQnU1ewT5WMicnh6ysLAIDA+nv7+fWrVu89957TE5OylrTZrOZrKwslixZwo0bN6ivr6e+vt6udN7o6KhUVoiKiiI1NZXw8HCXtIiIkB2tVsv4+DhHjx7l008/lbItgEyKGR4elslnrtgXsLcOWq1WQkJC7JIDxf4xlcawWH8TExN2FW9mEup9UavV4uvrS39/P7W1tTQ1Ncl5JNruGPqihuP6Er+LOe/p6cmdO3c4cOAAx44dkzJx4+PjUv4MZp74fVHIlOPl3tfXl9TUVBoaGqQFLDQ01G58XWG+OuZ+XL58mVOnTtkRGpE7IcLMRKhcSEgIERERcm/q6+vj1KlTREREsGjRIkJCQuwu487GoyZViVAqs9lMeXk5R44c4fTp07S1tQG2sc3OzpYFM0RhImeeHWoFiPz8fKkM8Prrr1NRUSGVh8bGxiQ3UCeaCSvrxMQEYWFhZGRk4O3tTUJCAi+99BJPPPEEcJ/PzHScuYBaWcdx/QhPkehTb28vhw8fpri4mBs3bsjzQ4RViCqV27ZtY9euXXbJsF+nfy4TWNnc3MyJEyfo6urCYDBQVlbGqVOn7OImRZatqM6k/hJmUkPzYRDxL8KKc/XqVd544w1JXL28vGRsyExm8ToL6g17puQ+vgwcXSMhISFER0fT399PU1MTR44coaOjg1OnThEdHU1AQIAsSBEUFCStVWqiIzJIV61axRNPPIG3tzd6vf6BimuuAtH/yspKPv74Y44ePWqXLCA2Xlcbu8+DIGiOsXaClInMZ4HIyEiys7OprKyks7OTGzdusHLlShnmMhMlUtXZ2WCzuG3cuJHjx49z8+ZNzp8/T1hYGKGhoVLOS500EhQUhJeXF8PDw4yPj0sPVl9fH6Ojo/j5+eHn50dVVRWFhYW0trbS29vL2bNnaW1tlZYUk8lktyfN5LhPFfIlwsgAGUomXKlarZaAgADi4+Pt1peQgXMlqPvV2trK9evXKS0tZWRkRK4vb29vWSrVMawqKyuLFStWUFRUJItIDA0NMTIyIi9jzibpwmo+1eVDHRLo6elpp0Rw9OhRfv/733P58mUaGxtl7Ofzzz8vk7XAOaErjnD8jlNTU3nuueeIi4vj3Xff5ejRo5hMJrRarczWF2vIy8sLb29vuacWFBTw7LPPykqO6enp8nOdsd+q/+bw8LC0ujpeRESIg9VqpaWlhcOHDzMxMUF7e7t8zmAwyPf5+/uzevVqNm/eLPuoVvH5qpgW8qqOYxgYGJBuHIPBgI+Pj6x2I4Thx8fHuXnzJh9++CGNjY34+fnR19cn3ZfCijcxMSFdawEBAV869mu6odfr5YHZ2NhIYWEh5eXlgK3c6OLFi1m3bt0D0h9zFaJvgkyox8sVyJCjezg9PZ3du3fLy1NdXR11dXWAbQEGBwfLmCWLxSKzmn19faUW8dDQEP7+/oSGhhIaGmoXz+RqUM+9vr4+Ghsb7eRMwOZij4iIsJP8cvU5qz481SFKjpulIEvz589nw4YNXLlyhVu3blFaWipj7sRnTLe70tHFumDBAl577TVCQ0OlhNAnn3wi141er5cXebDFgPr7+9PU1MT4+Li0VolwpeDgYPR6PdeuXeOjjz6ipqZGFpkACA4OZmJigujoaJKSkuzCKKYbYhw0Go3Ul9RobNWIHK1PjgRGVJ5SuzeHh4ddbs2pLd9C71tdvUg8py6WIS5aVquVrKwsVq1aRX19vSSvAQEBLhPLK8ZQ6JMPDw9LsgYPJm6NjIxw9+5dSkpK+P3vf88777wjPyMoKIidO3fy7W9/m4ULF8qQGFdKYlaHMCYlJZGUlERQUBCjo6OcPXvWrkys2HdGR0elYcDb25vExES2bdsmq3EKd/xUe9V0w9FaHhsbS1ZWFhUVFfLSL2Ll1RgaGmJgYEB+hk6nkyVhdTodBQUFssT1ggUL5PseRyjdtMwGtVuuoaGBd955h5qaGnx9ffH395cuuvb2drmIRbyL2Wx+wNIjrHeiBvnixYtZvXr1A4lOzoRICtBoNHR2dnLkyBFu3Lghn8/Pz+c73/mOdAuoNUPnGsQmLGIQYWa06r4sxIEiyMnixYuJiIggIyOD3//+95w8eVK+dnBw0E76Kz4+nm3btrFlyxbS0tLw9vbGYrEwNjYmhdZF4Q1XsBhMBXVcWmxsLAkJCXLzERAJkeqwFlezaj0MXzTfxIXa39+fZcuWSU/OwMCAnSdnuq2u6r8jEBgYyPr168nIyKC5uZna2lpOnTrF2bNnGRoaIigoCIPBIOPq4uPj8fPzo7GxkfHxcdLT05mcnKSmpoaRkRGZHNHZ2Slj0MQ4BwQEsHHjRrKysoiMjJS1y2FmxlotZt/c3My5c+cYHx9nwYIF5OXlPfQgb2pq4vjx45w8edLOQycuy66MqeaTY06IsKyLuPSgoCCXjZ8X3lCwnfnXr18nPT2d/Px8wN6qbjKZuHr1KocOHeLkyZNUVFTIMz49PZ0tW7awb98+KR0p3NSuBMexAli2bBmvvPIKQUFBnDt3ToY/CFKvLjyh1+vl5UxgcnLSqWeFui2rVq3ir//6r3nnnXc4e/aszNfx8PCw67MI8xTeILUXcuHChfzxH/8xa9aswWAw2K3jx7GfTgvjUx8aJpOJhoYGzp8/j8lkklYqi8VCT0/PA7dPUftXaPyJykVCAHfx4sV861vfYuPGjXbJXc4mryIeB6Czs5PCwkIqKirw9vYmKSmJJUuWsHz5cvz8/KQL0xXlk74qJiYmZP87Ojq4du0aLS0t6HS6KUutupr1TmwwycnJ7Nq1i4CAAJYsWUJnZ6e8TIn4NIPBQFJSEmvWrGH16tUuS06/CGqrZGxsLElJSURERNDZ2SkzYUNDQ0lISJBWvtmkhvFFpFOtPSnik8+dO8fY2Bj9/f2S3A8PD9u5wWaq7X5+flIeKj4+nr6+Purq6uziygTq6+tlJTSAO3fuTPm5ooSlSFoTJHH//v0sWrRIknmBmeizYxnpc+fOUV9fz82bN6moqJCSUOJiCDZFk5s3b3L8+HGqq6vtPiMoKMgukdcVLs0iYc7T05P4+Hji4uIIDg6mr69Ptk+UGRfnmtoz1NnZSXV1tbRyge3MEQUAXAmFhYUcPHiQnTt3SvLa2NhIa2srnZ2dtLS0UFxczLFjx6Rny8/Pj/z8fNavXy/1pNXqRK5o6BHtEnwlJCSELVu2EBYWRnJyMlevXqW4uFiWW/b09CQ8PJzIyEgWLFhAQUGBHDv13HYW1ImecXFx7Nu3j4iICEJDQzl48KBdIu9U8PT0JCoqipCQEGJjY9m9ezdPPvmk3E8e9wVkWhifmkhGR0ezdOlS7ty5w5UrV7h7964kM45JERqNRmbYqkXQhYVg0aJFvPjii+zZs4f4+HjAdWR71AMzNDREVVUVfX196HQ6srKyyMnJsUu0cDbZfpxQZwiDLdv34sWLsrSoyBR1tKa7ChytSxEREezbt4+9e/c+tM1CVHq2WCG/CKJ2taO7NTw8XLq11N6FuQA1EddoNCxcuJATJ07Q3NzMhQsXeOKJJ2SZUmePc0ZGhnSjHjt2jMLCQurq6ujp6cHDw4OEhASio6MZHR2lvb2d/v5+Sc5FqFVGRgZLly4lMzMTPz8/xsbG8PT0lBYyQZqcmT8gLgvXrl3j3LlzHD16lIiICElevby8pEZqfX29VDQR/xITE1m6dKmcs+IznQ212kNMTAw5OTkkJiYyOjoqL8Wjo6PcvXuX3t5eGbZhtVppbm6msLCQixcvSiIENtezr6/vjGgRPwzib4oLfGVlJadPn+b48eOEhISwdu1avLy8OHr0KEePHqW0tJTe3l674iAGg4F58+axc+dOduzYQXp6uvy82bDXOKoQrFu3jqysLJYuXcq7777Lxx9/jNlsZtGiRSxcuJDc3FyWLVtGVlaWHGdXMWSJtWKxWPDx8WHz5s0EBgZiMpn44IMPptR+BZvRMScnhyVLlrBo0SIyMzNJS0ub1nCzaWFQatNyXFwcu3btora2lpKSErvF6unpSVBQkNRCFbdQ8V71F7V8+XJefPFF9u7dK2NGxd9yNQhRbbBNSnHTVm+irtjurwM1sRsfH5euSUDGOTvqTboahOtDSCg9yhgJ0icgvgeRWSrc8q7YX7Vlp7m5mcbGRhnrqdFoSE9Pt1trcw1qIu7p6UlOTg75+fk0NzfzwQcfkJSURHJysrQczHRypTo5SUh6bdq0iZSUFDZt2kRXVxcmkwmNRoO/vz/+/v5MTk4yODgoiYHYi4XkUFxcHEFBQfJxEeKiDguZ6bmqXmf+/v6ylr3JZOLOnTt2VmRRqMZxzVmtVhITE3n++efZv3+/LFDgKla7qRJ9srOzaW1tlfGBd+/e5ejRo1itVvLz87FYLNTW1lJaWkpRURENDQ3yYhEeHk5ycjLJycl4eHg4rXSqOl7ZbDbT0dFBd3c3fX19HDt2DC8vL7y8vCguLqakpEQqQoAtXGXVqlUsWrSIrKwsSXqECD645jnxMIjvQnjmgoODiYiIYO3atUxMTJCQkEBsbCxRUVHExMS4xKXqYVDLnS1evBhFUVizZo0M3RTPiTPT19eXqKgo4uPjiY+Pl0UlRLGDRz1Pvwymzfyn7nxiYiIbNmyQ1WsGBwfp6+tjYGDALmxAr9djMBgwGAwy/sxkMpGWlsb+/fvZtWuXXblCV9ALFVBbUkNCQli3bh1eXl6Eh4eTn59PVFTUA66s2bQwvwjqvhgMBkJDQ+nt7cXf35/ExETi4uJkIQpXGjc11AtMWP6nsryK9guCOlut6IK8TkxM0NLSQmtrq3wuOTmZ1atXk5KSIh+bS1ZXeLBQRXp6OmvXrqWiooLq6mrefPNNgoODeeaZZyShmkmo56N6P01JSbEbl8cBx7k9k1D/veDgYJYtW0Z3dzdXrlyhtbVVeuiEjJfVan0gljwqKoodO3bw3HPPMX/+fPl6Yal1NhwT8pKTk1myZAlXr17l7t27mM1m2tra5D+RL3Hjxg278rBgC4tYs2YNa9assVPccQYcDRIBAQGkpKQQEBBAXV0dP/3pT+1e7+3tjcFgICwsjCVLlrBz507WrFnjlEJDjxvq/A6wxa2LcZoKrtxPcaaJi+/n9eNhEJ6G6bpQTdup65jJvXLlShITE+np6aGmpobTp09z9OhROjo67F6Tm5tLeHg4GRkZJCQkMDExgcFgICEhQerfCbjSwKs30piYGP7gD/6Ap556Ck9PT0JDQwkJCXF5y+PjgqjPDbbDaN68ebJaz9jYmMtr2gqi8HmVwNQ6d7MV6qQDcRkUSEhIYMWKFbJ8Izg/rvxxQ33YiKSn7du3Y7VaOXz4MFeuXOEv/uIvOHz4MH/zN3/D2rVrAefI2013wqP6s2d6b1KfE4GBgaxbt46FCxdSXl5OYWEhNTU1TExMcPfuXerr6xkbGyMmJob4+Hi8vb3x9/enoKCATZs22ckNudJ8VSuvaLVaqT6TkpJCdXW13WtFpTehyOOIhQsX8uqrr7Jq1Sr5mDAMzDTUa8jLy4uUlBSeeOIJ7ty5w+HDh+1eK6rZLViwgCVLlrBw4UKSkpLsQjzUceizEaL9X5SQPVv6+VVlAmeif9O2ukWjhfVKLRi+bNkyWdru6tWr9PX1kZOTw5YtW5g3bx4hISF2h6YawvrgaqRBvYgNBoOUqvmmQL1xjoyM0NDQANgSMNSqEOoqQq6KuRaT/DCItaTT6aYU9I+Pj5cHy2zYaL8uPDw8yMnJwc/Pj3nz5nHo0CGOHTvmNGKghtoYIMIJxAVLPK++jDi2V+0tcLQCupInRK/Xo9frCQsLIzU1lfj4eOrr6+3I6/j4OBEREcTGxuLn50dwcDDz58+Xc9VsNsvwAleD+rvOycnhueeeIyAggNraWsbGxhgYGKCpqYn6+nr5nqSkJFkeNSkpiT179rBx40apcCJCnZzZX7E/BAQEsHTpUkZHR0lOTqa+vp7JyUmZxJOYmEhubi55eXnSaiz6MNXcnG1wJHpC+x3ue1LEWp4N/RTnoOjHw/ZBYcgR/2YiVG7aT2h1/IqAwWBg7dq1FBQUYDKZpKC4KKX5ecTU1Qfc1ds3E3C0SD4syNsN50J9O46IiCAtLU3q0up0OqkMMlusBF8Vjv2Kj48nKiqKFStW8Bd/8Rd4eHg8tqowjwNqvcWHxQZORV6nep2rIzc3l6ysLJkUKg5QEQcsiIBa5sfZRO7zoA4DCQ8P55VXXpHFB9ra2qipqeHQoUOSvCYlJbFjxw5SU1OJjo4mPz+fjIwMSYCn0y37ZaC+/MTGxrJv3z527NghiZsocyyqL6rXkDPKMc8U1KWdXTX34VHwKMnJM92/GTEvCQkGUctYp9PJfw+DKCsGti/Oy8tr1sj0qKuJCCveXIsXVEOIEwtkZGTw53/+59y5c4d58+bJOGVwnaxKN+ytdaGhoWzZskVmNxcUFJCQkODkFs4s1BXhxP6kJq2uQuBn8yH4KBAkVcglPgo5E3uuKxNXNUSlKQ8PD7KysoiOjqa7u5uOjg7mz5/P7du3AZt1Ni8vj6ioKEJDQ+28WKKEqCtBeHN8fHzw8fH53NcJeUVXIN/ThdkeWibgipeLGfONCg07NRzjuNRfkMhSnI1wJHPfBDiWtvyrv/qrKV/3TfteXBnq9ebt7c3q1auZP38+g4OD+Pr6Eh4eLp+fDYTg68KRFD7MLe/G9OJhhOZh1mTx/9m0t6jlrcAW6xsYGEhKSgorVqx46PvUlnZX7K9jFcWpYqlF6IQrtt+N2QOnBfaJuC0REzsbpIXc+HyoLVeOcCwP64brQSQXqhMo4JtBXNUQiXpCBF6Ua5wLFpTZBnGBEP9EAqU6dnS2WreEtVitk/pFEEUJXJn4iRAPdaUzMV7i32wcLzdcC1+avCqKMh3tcBnM9f7B3O/jXO8fuPs4FzDX+wdzv49zvX/g7uNcwFzsn9sU5oYbbrjhhhtuuOHGrIHG2RIwbrjhhhtuuOGGG2648ahwW17dcMMNN9xwww033Jg1cJNXN9xwww033HDDDTdmDdzk1Q033HDDDTfccMONWQOnSWUpilIPTF0DFjqMRmPUDDZnRqAoysvAf9z79btGo/EXzmzP14WiKK8Bv/6Cl00ajcZZr4uiKMoa4E+BlUAI0AOUAj8xGo2fObFpXwvfhDFUFEUD/AHwR8A8wAOoxNbvnxqNRosTm/fYoChKHPB/A1uBUKAN+Aj4O6PR2OvEpj0WfBPODEVRdgD/G5DD/TG8Dvyj0Wi86My2PQ58E8YQ5u55oYaz++jsAu79wE+meHxohtsx7VAUJR74F2x983Nycx4XioG/e8hza4ANwKEZa800QVGU/wL8V6ALOIDtQAkDFgLrgNm8GRUz98fwdeBl4C7wNjAMbAL+CXhCUZRnjEbjrM5cVRQlFbgARAAfAxXAUmxEaKuiKKuMRmO3E5v4uDBnzwxFUf4n8BdAN7ZLRxeQBuwB9iuK8orRaHzDeS18bJizYwhz/rwAXKOPziavfUaj8W+d3IZpxz3Lz6+xbUofAP/ZuS16PDAajcXYyM8DUBRFWAn+fabaMx1QFOUZbIv0OLDPaDQOOjw/O8vA3cNcH0NFUfZiI651wFKj0dh173Ev4B1gP/Aq8BsnNfFxwYiNuP7QaDT+i3hQUZR/BP534L8B33dS2x4n5uSZoShKFLZzoQNYYDQa76qeWw+cxGZVnwvkdU6OIcz98wJcp4/umNeZwQ+xWbD+AJvVZ05DUZRcYDnQAhx0cnO+MhRF0QL/ExgBXnBcpABGo3F8xhs2A5grYwjsu/fzHwRxBTlu/+e9X/9kxlv1GKEoSgqwGagHfurw9P+Fbc95WVEU3xlumhuPjkRs5/FlNXEFMBqNp4BBIHyqN7rhGvgmnBeu1EdnW171iqK8BCRg22BLgMK5EoMGoChKNvD3wD8ZjcZCRVE2OLtNM4Dv3fv5y1k+liuBZOA9oPdePFouYAKuzIUYtM/BXBlDEUNXO8Vz4rFFiqIEGY3Gvplp0mOH2FOOGo3GSfUTRqNxUFGU89jI7XLgxEw37jFjrp4ZVYAZWKooSpj6oqUoyhOAP7ZQgrmAuTqG34TzwmX66GzyGgX81uGxOkVR/sBoNJ5xRoMeJxRF8cTWv0bgr5zcnBmBoijewEvAJDCrE9KAgns/O4AiYL76SUVRCoGnjUZj50w3bDoxx8ZQkIDkKZ5LUf0/C7g0/c2ZFmTe+3nnIc9XYSOvGcx+8jonzwyj0dijKMr/AfwjcFtRlI+whZmlAruBY9y/UM52zMkx5JtxXrhMH50ZNvBrYCO2ieyL7Uv4NyAJOKQoSp7zmvbY8DfYAphfMxqNo85uzAzhWSAIOGQ0Gpuc3Javi4h7P78PeGNL8vHHdtM8AjwBvOucpk0r5tIYHrj3888URQkRD967WKoT1YJntFWPF4H3fvY/5HnxeND0N2VaMafPDKPR+BNsYS6ewHeBvwSeAZqA3ziGE8xSzOUx/CacFy7TR6dZXo1Go2OGcxnwfUVRhoAfAX8LPDXT7XpcUBRlKTZr6z/MEXfBo+KP7v38N6e24vFAyENpsN0mb977/ZaiKE9hs3StVRRlxRwb47k0hm9hsyJvw2bR+gRbvNYmbFatKiAdmO0uy8+D5t7PWa2o8A04M/4C+O/APwP/CrRj8wj8D+B3iqLkG43Gv3BiE7825vgYfhPOC5fpoysmbP2/934+4dRWfA2owgXucD8pZM5DUZQcbDExzcwBORBAaGPWqhYpAPcs6Ufu/bp0Rls1jZhrY3gvBnQ3tkzudmzKA9/G1r/V2FyzYJPRmq0QltXAhzwf4PC6uYa5cGasw5YI84nRaPwzo9FYazQaR4xGYxE2MtcC/Ohect5cxKwfQ74Z54XL9NHZMa9TQRwiszkz1g9bfBmASVGUqV7zc0VRfo4tketPZ6ph04y5kuQjUHnvZ99DnhcL2Xv6mzJjmGtjiNFonAD+4d4/iXuxvfnAKHBr5lv22CDmacZDnk+/9/NhMbGzHXPhzNh57+cpxyeMRuOIoihXsJHYhUydfDjbMRfG8JtwXrhMH13R8rri3s/ZvEDHgF8+5N+Ne685d+/32eo+sIOiKAZsVq1JbP2aCygEJoB0RVF0Uzyfe+9n/Yy1aBoxR8fw8/AyYADemeUSNoLwbL4nZSOhKIo/sAobQZ+tCWlfhLlwZujv/XyYHJZ43DwDbXEG5sIYfhPOC5fpo1PIq6Io89TJE6rHE7HF+sAsFmM2Go2jRqPxO1P9Az6597LX7z32tjPb+hjxDLakl8/mQJIPAPfkat7G5o79G/VziqI8CWzB5oo9PPOtmxbMuTEEUBQlYIrHCrBJ2A1hE3+ftTAajTXAUWxJLz9wePrvsFmz/sNoNM5ajem5fmYAZ+/9/CNFUWLVTyiKsg3bBcSErYrarMRcH8NvwnnhSn10VtjAM8BfKopyClvlm0FsyRM7sFlCPgP+Hye1zY2vBpHkM2urMT0EfwYsA/76nt7iFWyC4k9hS/L57izWB3XEXB3DY4qijGJLDhkE5gHbsXlI9hmNxtls7RFQsBGbf1YUZSNQjm3erscWLvDXTmzb48BcPzPew1axaBNQrijKh9hitLOxhRRogL+c5SV+5/oYwjfjvHCJPjorbOAU8CE27cUXsH0Za7G50l8FdhqNxrnqHplzuFeIYTVzJMlHjXvyNMuAHwPx3K+WdhBYYzQaZ7v0CTC3xxAbMfDHpjrwZ9jkeX4BzDMajUc+742zBfesr0uwlbldhi1zOxVb5vqKWU56YI6fGfcSC7djK+V7GxsR+BG2whKfAVuMRuM/Oa+FjwVzegzhm3FeuEofNVbrrFZPccMNN9xwww033HDjGwRXTNhyww033HDDDTfccMONKeEmr2644YYbbrjhhhtuzBq4yasbbrjhhhtuuOGGG7MGbvLqhhtuuOGGG2644casgZu8uuGGG2644YYbbrgxa+Amr2644YYbbrjhhhtuzBo8cpECRVFmvaaW0WjUPOy5ud4/mPt9nAv9g7nfR/c8ndv9g7nfx7nQP5j7fXTP07nbP7fl1Q033HDDDTfccMONWYMvXR7WaDRORzumFYqiPPJr53r/YO73cTb2D+Z+H93z1B5ft39WqxWN5nMNS48d7jG0x0z2z2q1yjH/uuPuqn18XHDPU3vMxf59afI6U5iYmGB8fJzJyUlEFTCxcHU6HTqdzsktdOObBovFgtlsZmJiAq1Wi16vx9PTZZfQV8bk5KTsp4eHB15eXnOyn2pYLBbGxsawWq0uP65jY2Po9Xo0Gg3Dw8McP36cwcFBsrKySEpKIiAgwL0/ziGoCetMX1bccONRYLVaJV/z8PDA09Nz2ueqy+zQ4lYJoNVq8fT0dLkDRN1G90byxRDf18NKEGu12ln1HXp4eODt7W33mHo+zDaoLTlqaLVaDAbDA68VmI19/SJ4eHjg4+Pj7GY8EtRjce3aNX7+85/T2NjIxo0b2bNnD/n5+eh0OqdYZt14fFCTVrPZzMjICGazGS8vL3x9fd0XFCdDvQ4/75yb6xcPtVFxJuFS7HBiYgKr1YpOp3O5gbZarUxMTDA5OSnJtRufD3EbE+MK94mP+A69vLyc2cSvjcnJScBGfmYjhBXZw8MDi8UCMOXcnpycZHJy0j3vnQix9xgMBiYmJigpKeHAgQNcu3aNjo4OBgcHSUxMJDMzk6CgIDd5ncWYnJzEYrHg5eWF2WzmypUrfPbZZ9TW1pKbm8vevXvJzc2Vr9Vq3ekrzoDwDE9MTMj9U8BqtaLVaue058pqtWKxWKbs33TvPzP6jVqtVnnYi99FBz09PSVzt1qttLa20tbWRn9/vyQ+wl2WnJxMQkICnp6eM7ZBazSaB4iWGDgxSR/Wjm/CrUtAkByNRoOHhwd6vR69Xv+5n+HKm6+6f729vVRXV9Pe3o6vry+ZmZnExsY+8LrZAIvFgoeHh91tWWxAg4OD1NfXc/fuXfz8/EhKSiIyMlIS9NnW14dBzFWtVktXVxd37txhYmKCpKQkYmNjXe5ipV4nJpOJoqIiiouLGRgYAKC+vp6urq6HWoDmCiwWi/wuvuylUZw5rrrfwP31JeZffX09H3/8Mf/+7//OwMAAFouFHTt2yNe68v451zA5OSkv/J6ennL+PSo5FQR3tho71FAb8kZHR2lubsZkMhEcHExERIQdn5uO82JGyatGo3lgkVkslgc6VllZyaFDhzh69Ci3b99mfHxcHjDh4eF873vf49vf/jYxMTEz2fwHIPojBuebuIFM5XL+spPVlYmQiOExmUxcvHiRn/zkJxw7dozExER++MMf8sorrxAWFjbrwgce1s7e3l7Onj3L66+/zoULF8jIyOCFF15g8+bNJCQk4OHhMWv6+EUQa3ZwcJCDBw/y4x//GK1Wy49+9CP27dtnR15djbCLy6H4B2AwGOashUcNsc9+lfGYDYYEtSWrp6eH06dPc/z4cQYGBkhPT2f16tUkJCQAs2e/mSvQarXy31d9/1zB+Pi4NEyVlZXxu9/9jsHBQdavX8/WrVsJCwsDeKhl9utixnY6wdIdF5voVGdnJ7dv3+bmzZsUFxdTVFTEzZs3H/ic5uZmrl69yhNPPEFoaKj88qbz9mm1Wunv76e2tpaOjg78/f2lNepRrTMiAU2QdcdFoHY/uzJBsFgssg8eHh5otVrZN41Gg8FgkIdpe3s7paWlVFdXMzg4KAO5Afz8/MjOzmbhwoUyjlRYA10BasuO1Wqlrq6Os2fPcubMGQAaGhr47W9/i9Vq5amnniIlJcXufa4Ks9mMTqdDq9XS1tbGzZs38fPzIyUlhZaWFgoLCzlz5gxHjx5lbGyMrq4uAG7evMnKlStZt24dMTExdtb12QYRxuLl5YVGo6GyspLf//73lJaWEhwcjJeX1wNz0tXWo4eHB35+fvj4+NjNN0fv1lzBxMSEjPf08vKym3dfdLFQfyfifWLP0ul0LjeHxR7Z2trKyZMn+fTTT2ltbSU/P59XX32Vffv2ERoaKl/vau2fqxCeXzE+bW1tjIyMMDIyQk1NDc3NzXJfEfM1KChIJlIGBgbi6+sL3A9DdDXvzpeB+B46Ojr47LPP+OCDDwgLC2PZsmUzsl/OGHkVG6xwtQsCZzabaWpqorCwkE8//ZTz58/T2dkp3ydCCtSDLdyaeXl5M0Ze29raeOuttzh27BgpKSls2bKFzMxMwsPDCQsLw9/fXx54jm470Ye5YBVRW3oEHPs2MDBAZWUlx48f59NPP+Xq1atMTEzYvScgIIBvfetbBAcHk52dDdy3croC1O64yclJGhoaqK2txWAwYDab0Wq1FBcXYzKZSE5OluR1YmLCpRMpxGY5NDTEp59+yttvv01CQgKLFi3i6tWrfPTRRwwODtolTRYWFlJYWMi1a9eYnJxkx44ddoenq1klHwVqgnfu3DkuXrwIQFpaGmNjY3R3dxMeHu6yoRKjo6O0t7dz9+5dzGYzYFtTfn5+ck+cS+ED6j1GhA2Iy/MXjYv6kiW+E1fcjycmJmSb+vr6OHr0KK+//jpXr14lIiKCnTt3snfvXuLj44H7F1FXmpfTBVfwbHl5eWG1WjGZTJSUlFBUVERXV5e89JeXlz/wHm9vb3bv3s3q1atJTU1l3rx5JCQkyLAQV9tXHgVinnp4eDA4OMixY8c4cOAATU1NpKenExMTY5fwO128bEZWryACnZ2d1NfX09/fj5eXFwMDA1RUVHDz5k1KS0upra1ldHRUvs/Pzw+DwYBWq2V0dJTh4WEMBgNWq5WxsbEZsTCIyWUymSgvL6e4uJiSkhK6urrw8fHBw8OD9PR0li1bRk5ODjqdTsbEgG2x+fn5ERMT86WImZApcuWJPTg4yNjYGCEhIbK/tbW1fPTRRxw8eJArV64wNDQ05XsHBga4cOECa9asITY2loCAAJc7TNSYmJiQ4+rn54fVamV4eJjW1lYZcwiuSxiE1UrMpw8++IBf/OIXlJaWUlVVxcWLF6msrARsm3RqaipWq5WGhgb5GaWlpXz44YfExcWxYcMG+blTXWhcGZ6enmi1Wvr7+7l06RJnzpxheHgYjUZDc3Mzb7zxBgaDgW9961sAMmzJ2X1U5wjcvXuXy5cvc/nyZSYmJggMDCQvL4/s7GzCw8MB17oMPk4cP36cO3fukJOTQ0FBAQEBAfK5zyMDZrOZxsZGTCYTGRkZ8pI5NjbmEiRQPb7V1dUcPXqU06dPA5CRkcGyZctkjD04xwUtLg6PCyKM4/MuIWazWRoMBB+YSYi9U6vVUlFRwa9//WsKCwsZHR1lZGSEpqYmTCbTlO8dHR3ls88+49atW8THx7N8+XK2bdvG4sWLZYjdbLPAqsMABgcHuXLlCiUlJQAEBgai1+tnZIymjS2os5M1Gg03b97k2LFjVFZWyonY2dlJWVkZzc3N8n0Gg0HqLQ4NDT1AfgYHBzEYDISEhNiRnenaeDQaDVarlaCgIJYtW8atW7eoq6ujsLDQrs3l5eUsWrRIZoeq2xMcHCytc35+flgsFkmC9Hq9JOMAPj4+BAYGyr65ws1M3YahoSFqa2upqamhu7sbk8lETEwMWVlZjI2NcfjwYd59911u3bqFXq+noKCAvLw8wsLCMJvNDA4Ocvv2bS5fvkxLSwtFRUXk5+eTm5srv2tXSahQf+8GgwG9Xs/Y2JjdBctRssbZY/UouH37Nm+99RZXr14FbO6viYkJIiMjmT9/PllZWURERNDb28u1a9fkmh0ZGeHcuXNkZ2eTl5dHaGioy1+wHKEOA7hy5Qq//vWvuXTpEgaDAY1GQ1tbG21tbaxcudLuPeBa7tnu7m5u374tPRrh4eEkJyeTmJgoXzObwwfUlraRkRGGhoawWq3cunWLN954g2vXrlFQUMDk5CSrV6/G29v7Aek34eET43r58mVKS0uZmJggJSWFefPmERcXR2BgoDO7+kCCVnNzM2fPnpXegLCwMFauXEl2djYajUZavmbqsi/OcscY6+n4O46Xf5FUqt5jZ+pMVEtAjY+PU1VVxS9+8Qt+/OMfy9cIj2tMTAwRERGEh4fLOafT6ejt7eX69euUlZVRVlZGZWUlfX19jIyMsHjxYvz8/Oy80rNhL1XvK2azmc7OTun90Wg0MjxyujFts1+teyasGb/85S8ZHR0lODgYs9nM8PAw4+Pj8j0iVmQq61VCQgKTk5MYDAays7NJTk62y2KfzkGfnJwkOjqa73//+6Snp/Pf//t/lzcNsGX+FhYWUlJSwuTkpLTUiDZ5enoSEBCAt7e3tOCEhYXJWJiJiQkZL5OTk8OaNWvIyMj4SslP0wHx9/v6+jh79iy///3vuXTpkiQCvr6+REZGMjExQUNDA15eXuzbt4+1a9eSl5dHbGysPFyGhoY4evQonZ2dVFVV0d7e/sAFxdWsl+rv33HjdrW2OkJ9MGo0GgYHBykuLqaxsVG+xmKxyAS0p59+Wno3JicnuXLlCmfOnJFeh/b2dk6cOEFqairbtm2TSZOuHusrINrY0dHBxYsXOXHiBF1dXXJtAqSkpNglg7qSHrFoh6P6iYjhdAzPma1QW3fa29v57LPPuHLlClVVVdTW1tLV1SVJaGpqqgzbcVyrFouFtrY2Dh48yK9//Wtqa2uldyw7O5sf/OAH7Nq1C41G47SYe2HMEPPvxo0bfPbZZ9TX1xMYGMju3bvZvHkzycnJaLVaxsfHZ/RcELJd0x3jLvacL+rXTHkU1OPS0tLCP//zP/OrX/0KsJ3pUVFRFBQUMH/+fMLCwkhKSiI7O1uuy4CAACorK/nZz37Gxx9/LPNm3n33XZqamnj22WfZvXs3er3eThptNsFxTszkXjkt5HV8fFwG1dfU1PDLX/6SN954Q7pX7969K18rYiNMJpMksnFxcURFReHn54e/vz/JycnExcUBNoKbm5tLUlKS3UBP98FpMBgwGAzs37+f7u5ufvOb39Dc3IynpyfDw8P09PTYWeQc0dbW9sBjFRUVxMTEMDY2RktLC2A7OMvKynjyySdZu3Yt/v7+gHOSmcRNWPzdmzdv8uabb/Lxxx8/0Ndbt27J/+/atYs/+ZM/sbNeCURERBATEyNDQvz8/B4Q/ncVoiAgXDuOerVWq5XR0VG7C5irkVnxXYoN39fXl6ioKCIiIuSYCfm5J554QmYxC2zZsoXY2FhKSkoICAjgyJEjXL16FR8fH3Q6HVu3bpXWBleG2uLa29vLmTNnOHv2rExIE2FI0dHR7N69myVLlsj3uko4i1iPGo2GoKAg/Pz8HniN2uLh6mPyqGhtbeXjjz/m+PHj8rGgoCASEhIIDg6WB786GQuQcXnV1dWcPn2ay5cv263PpKQkOwumK6zd1tZWzp49y+XLl/Hy8mLbtm289NJL0s0MzDjBUX9Hd+/eZWRk5Ct/V2LfFGOm1Wrx9vYmKCgIX1/fB8648fFxysvLKS8vJyAggJUrV0pLuTpGeDogPnt4eJhz585x8OBBxsfHWbduHRs2bCA4OJjMzEzS09PR6XSEhIQ8UNxl+fLljI2NkZWVxc2bNzlz5gzNzc188MEHeHh44O/vz+rVq2eVBVbdNkfyKvafWZuwJTrT0tLCr3/9a3784x9jMplkR9XWgbGxMbsJmJaWxt69e1mwYAEJCQlkZWURGRmJxWKRcaBfR6riq0D9tzw9PXnmmWeIjIzkyJEjdHR0yIzliooK+fpHcdnV19fLmMLJyUl0Oh3t7e1cuHCBtrY2cnJyJHk1m80PkLzphtpdBFBeXs7ly5c/l6RHRUWxfPlyefiLcRNW8oaGBoqKimhsbMRgMJCQkGBHflx10T5szolYKFeH8AZotVrmz59PVFSUfM7b2xtvb287C7i4gOp0OpYsWSI9ATdu3KC/v5/Lly+Tl5fHvHnzCAoKkgeqq2684+Pjch739fVx+PBhLl68iEajwd/fX16sw8LCyM/Pl5Y8uC//5myov1eTyWS3x0RFRZGVlWWXSDcb5uXDIPo6MjJCaWmpVJ7RaDQkJSWRn5/Pjh07WLZsGaGhoXb7lDrsaHx8nNLSUsrLy9Hr9TI2cdu2bbz22mssXbpU/s2ZNg6ok8fANi9PnjzJqVOnGBwcJDc3l61bt7J69Wq8vLykprgzLlOjo6Ncv36da9eucffuXTn3BBn9KhCZ+WFhYaSmppKWlkZgYKCd1b2hoYHf/OY3/PznPyc3N5c33niD+fPnA7Y1MNUF7uvCUXi/traWc+fO0dXVRVhYGOvXr+fll18mLi5OXog/z/O0Zs0aCgoKKCoqQqvV8uabbzI5OcmZM2dkYuymTZsA1wxR+jw4qpvM5N7/WFeByWSSAdWNjY383d/9Hb/5zW9k5wSBUZNXq9VKZGQk6enpUmZh8+bNxMfH4+/vLwfRmUkhYoGK5JTw8HCefPJJ4uLiGBgYwMPDg7q6Og4fPszRo0ftEnjAZiUA2+YUFBREcnIyd+/epaWlxW7hi3hZgKqqKjsy4azDUz0Z/fz8CAsLo7W1VV4kPD09pbsjKiqKFStWsHTpUhmjNDw8jMlkIiIiAqvVSlFREW+//bbcCBITE4mIiADu36RdjfyI9qgJrBiPpKQkgoODH3itq0H9vdbV1dHb2yufE1YstXKH2WyWlxdvb28CAgLk4QK2w0y8ZjbAcc8pLy9neHhYJoGINavX6x/I2He2Nqhj+cWGhgbOnTtHd3e3fE1qaipr166VmegwtcVYHMzq+EKhhuIKZFeEm42MjNDQ0MCFCxf46KOP6OvrA2DZsmXs3r2b9evXk5aWhr+/v51YPNy3TE5MTHD+/HkKCwupqKjAYrGQnJzMsmXLePHFF9m0aRMGg8HOoj3TUJOkoqIi3nrrLa5du4a3tzerVq0iLy/P6a7ky5cv89vf/pbz58/T3t4uy9R6eHh8qfUv5psosy10if38/AgNDSUkJETmEHh4eDA+Ps7IyAinT59mcnKSO3fuyNwQmL6YbnXII9guQML4JoruiHnn+D5xORKf4enpiV6vx8fHh6VLlzI0NIRer+fIkSO0tbVx6tQpFixYwJIlS2ZlVTyxnzgDj5W8qjsxMDDA9evX5QTz8/OTZEyn06HX6xkeHiYkJISNGzeyfft2kpKSiI+PJzo6GkASRnF4CBI505ZXQE5cgYCAAJYtWyZ/N5lMREZGMjk5SWlpqdRz8/T0lHGt9fX1xMfHk5+fT1tbG+fOnaO9vR2TyYTJZLL7/nQ6nSSy4BwriuNloaCggB07dtDZ2UldXZ2Ms9Pr9eTk5MhQh/nz50s3XkBAgMwGvnXrFkeOHJEW6vnz55OSkiI3Z1clQuoDXz0OcXFx5Ofn28VHutrGo65gB7bwlRs3btglSSYnJ7N8+XLS0tIA21wT81c9B8PCwsjOzubatWvy0Hc2sXtUqMetq6uL/v5+4L53QWB4eJj+/n5GR0fx8fGRfXPmoeKoUXr79m0uXrwoCR3Y9qPs7Gw8PT1lQuxUh6t6LkwFZ/VTTaQ1Gg0dHR0cP36ct99+m2vXrqHValm6dCn79u3jhRdekFn34hItPkOQwcnJSc6dO8d//Md/cOnSJUkq0tPTee2113jiiSeki9dZpN3Rwnf79m2pLpCSksKKFSuIj4+XRMhZxpuGhgZOnjxJeXk5wcHBMrnxUeeJOhFXvEeE2jkSxc/DsmXLpCcSpi+cx9EVHhsbS15eHidOnJB5OiaTSarPiDhPjUYzpXdUhJ3pdDo2btyIt7c3AwMDfPDBB7S3t1NfX097eztBQUEuFV//KHCm1vdjHX01uYuNjeVP/uRPeP3117l48aKdFTE4OJj169cTHx9PaGgoBQUF5Ofn4+vra3fLFBNCkAYxyZ3twpvKRWAwGFi7di0JCQn09vbaaRD6+vpKa4JOpyM0NBSLxcKdO3c4deoUx44d49atW5IMCFO82j3vjAkt/qawiGZmZrJnzx7q6uro7++nr6+PyclJ/P392bp1K9/5zndkbPLk5CTDw8OSBJWUlPCTn/yE3/3udwBs2rSJ73znO+Tk5Mi/5yqxhQJiszWbzfT29sr+CoSHh5OWliYriYDrkVc1pjooNBoN8+fPZ8WKFVJiSQ31PI+IiGDDhg3cunWLsrIyGhsbuXv3rl3smavJM4kx9PHxAWwxe5cuXWJ4eFi+Rj2mY2NjLmlRVu99/f399PT02F0sHmVPdLWxUUNYP8U8qqmp4dSpU9y6dYuJiQnS09PZt28fL7/8sl3Ii6PijCDvlZWVfPjhh3z88cd2XobExESWLVuGt7e305Nk1Ad/d3c3jY2Ncl4uWLCA+fPny5AIZ+pH5+TkoCgKAwMDBAQEyES4R4UoZCPW4fDwMDdv3qSyspKxsTEmJiakMlFvby91dXV27xdC/3v27CEkJEQ+Pl3jJniHSFKLjIxk3bp1XLhwgfb2drKzs4mOjpYeqi8qfw73w5a8vLykpbWwsJCuri56e3tlHLErnx8C6r3G8RIjzpiZ4GiPlS2IjUQoCvzhH/4hExMT3Lhxg6GhIby8vGTsXVRUFJs2bSIvL4/IyEj5GVarVVZr0mq1TneZTAVxoItFJx7z9/dnwYIFj/w5CQkJ3Lp1i6GhIWnBFIMuyKHj33Q25s2bx1NPPUV/fz+HDx9mdHQUrVbLyMgIlZWVDA8PExgYSFRUFL6+vkxOTnL9+nXeeOMN3nrrLcxmM+Hh4TzzzDM89dRTMvPXVdyWAuqNpK+vj7KyMsrLy+0uFHq9nsDAwAeC9F0Nate3kCsTbvSIiAjS0tKk1dVRt1VNdry9vYmKipKyZ01NTbS0tDA2Nia/A1cjSOqMYYvFwvXr1zl79qwMExCFUgQyMjJITEyUFh5XCBtQY3x8XOplC1IWFxdnl2jnGN6iljkaGxujsbGRxsZG2traGB4eJjY2lqVLlxIRESGNBc7s88DAADdv3uTq1asMDg6Snp7O/v372bt3rySuIyMjstoW3K9+BLaSqidOnOD06dP09PQANuOCyAZXJ/w4C8Iz5enpSXd3N4cOHeLSpUsyIXndunVS9szZGsO5ubl2RoYvS07URNDLy4uxsTFKSkqkBJ+4tPj7+9Pd3c2pU6e4cOECXV1deHl5kZ2dzf79+9m2bZtdiNZMGDtEP7Ozs3n22Wfp6+tj2bJldhUyv2idCK+tWJPCgBUQEEBXV5eMX1evPVeGun0ip0VAJPfNyoQtx0mdmppKbm6uFNMG2+Z048YNuemqyau4PTvbuvooENZV+GoWt+rqagoLC6murgZs5EDE9Ag9PwFnTmi1Vc3T05MNGzbYlX7t7e3l7bff5sSJEyxZsoSdO3eyY8cOtFotJSUl/PjHP+aTTz5hdHQUnU4nwwWEJcHVrFyOENq0Ql5KJOQJBQJXbv9UFq3Lly/T3t6OVqslOTmZqKgoeTg6zjM1iZ+YmGB0dFT2d2hoiN7e3gfiSV0Nok1DQ0NUVFRQUVHB8PCw/E6Ghobw9PQkJyeHdevWkZub61JkXE0kGxoaKC4ulgUloqOjWbNmDQsXLpThOY7ZwMJrNTQ0xM2bNzly5Ajnz5+ntLSUrq4ulixZwg9/+EN27dolXZeObt7phNolPjQ0xIULF2TSKsDq1at57bXXyMzMBGwE3sfH5wELkEB1dTVnzpyxk4MLDAzkySeftFNAceY5o04gbGlp4b333uPs2bP4+fmxdetWNm3aREhIiBwDZ8/Br2tYULdfr9ezaNEiqe0tvgsfHx+ZFzI0NMTJkycZGxsjISGBVatWkZWVBcxcZTF1mw0GAzt37pQ5AAKP+r047iPqYg+uTlYdoW7v4OCgnVf96yTwfVk8dvKqTiwAm5tm27ZtdHR0SHeAxWKhpKSEvr4+bt26RX5+PmlpaYSHhxMZGUlkZKSdKV5di9yV4GidEG4EccsUUE/a8fFxmeRUVlYm4z/B/uDPyMiwi6V0BVJgNpulvNXKlSvZuHEjAwMD3L17V1pzAFasWMHw8DB1dXX87Gc/48CBAwwPDxMeHs7WrVvZuXOnS4cLCIjvfGJigsHBQfm4SFQQxNUVxuZRMDg4yPXr1yksLKSvr4/4+HgKCgrsrHaOh6Tagufv7096ejpJSUkA9Pb20t/fb+dCdLXvQl1S9Pbt21y/fp2amhomJiYwGAzSnRkWFsa8efOYP3/+A54gZ0IdklFXV8f777/PhQsX5POiYItICoUHtRY1Gg19fX18+OGHHDhwgPLycmpra+VF+dq1a/z0pz+lv7+fp556itjY2Bk9UNUVhpqamjh06BBnzpwBID8/nw0bNtgRV3V8rLg4iTPnzp07HD58mKKiIjvPVWJiIlu3bqWgoED+TWfuO+oLn8lkkpcRrVZLbm6uVLsQSdAC6tLqMwURXvF11oJask94VAUJVPcvKCgIi8UiqzcCD7jmZ9pYoJb0Uj/2ZS4UgtRpNLZqnX19fZhMJrRaraxKNVugnnvt7e20t7fL38fHx6UneboxbVJZYqBSU1PZvn07N2/etItl6e/v5+bNm9y8eZP4+Hhyc3NJTU0lOTmZjIwM8vLyZOasuoqPK8eFiMzlqSAWvpiklZWV3Lp1y85lOTIyAtjCCebPn+9y1XLUCyw5OZmnn36a3t5e3nnnHQAZ39ra2sqpU6f49NNP+cUvfgHYXJtr1qzh5Zdf5sknnwScsxF/FWi1Wru+i7F8VLeRM6Fu2927d6mqqpI6y0FBQSQmJtrJK03VF4vFwtjYGD4+PuTm5pKbm4unpyf9/f2MjIy4xNx0hLAcqssWnzhxguvXr8vQDxG7Z7VaMRgMZGZmkpaWZncoOdvipSZZNTU1HDx4kNraWnkY9vf3Mzg4aFeeUi0pKLSIT506xb//+79z6dIlwLaWhRTa8PAwly9fZmhoCA8PD/bs2SMvzmqiOF1Qx512d3dLw0Z4eDh79+5lxYoVdqRHTaLURo3e3l4++ugjPv74Y1pbW4H7pY63bt3KkiVL5Hxw9pwVZNtqtVJbWyvPgaysLJk3APbavuCc+TjdCdImkwmdTodWq6Wnp4erV69SXFzMxMQE4eHh8pIpMNP7rfo7/6qWcLXldXBwkPb2dnp7e9HpdISFhclwiJlYb18XYi6MjY3R19dnd0kUxq2ZuBhOe3lYEcOzceNGamtraWxsxGKx2G22TU1NDA0NUVlZiVarJTg4mG3btrF9+3YSEhIICQmR5GF4eBgvL69ZdVOB+/Gxot03btzg0KFDtLe3y8piItY3ICCA4ODgGasg9qgQbbBYLPj6+rJy5Uq6u7vp6enhypUrjI6O0tTUxCeffMKRI0coLy+X7129ejXf+973WLt2rXzMlUmrmpT29fXZbZ7C0ujn50dAQMCMlCn+OhBtGh8ff0Bq5lGrMqkP+8+L8XW2pVINQXjGx8cpKSmhsLDQTmXBcazmzZtHRkYGcN/i5WyJrKkke9QYHx/H39/fLgt7fHxcenhaW1s5dOgQ77zzDsXFxfI1Pj4+JCQkYDAYaGtro7GxkVu3bvGrX/0KnU7H3r17CQ0NnXFjwcjIiCQzy5YtY+PGjaSmpgL2YyIssIIEjo6Ocvz4cQ4cOEBZWRlgK92ZmZnJ888/z759+6QkH8y80L+AuIzodDrGxsY4duwYb7zxBh0dHeTm5vL888/L+HNAximLeFE1+RbWP1feRx8GwQ/E+tRqtfI7aWtrk4QoNTWVRYsW2V2wnWUxFx7gLxPTqU7+VEsVVlRUMDY2hp+fH9HR0VJhaTZUKlSfJ0JxQSApKYlFixbh5+cn96Dp6s+0zQK1JIvBYGDVqlV4enrS3NxMUVERZ86csYuV6O3ttcsKHRkZoaOjQxYqWL58uazMBA9Wf3IFOGbaiUkrNh21cPaNGze4cuUKgFQjEC7MqKioB1x3rjShRVt8fHzYunUrFouF/v5+rl69SmdnJ52dnfK1ERERLFy4kD179kjiKoL0XfEC4mixa2pq4vLlyzQ1Ndm9xmAwkJqayrx58+xqo7vSOAmo9RXVG7+XlxeBgYEyEx8eHrOknosi7lWscUcXtathZGSEO3fucPPmTYaGhqQlZ2hoCK1WS0hICOvXryc/P9/ZTbWDY1iSt7c3wcHBUkZPq9WyaNEiVq1aZeel8fHxwWKxUFNTw4EDB3j99ddlOeuQkBCio6PJyMhgwYIFBAYGUltby4EDB6ivr+fatWvcuHGDJ554QhKGmRzTgYEBqVKSmJhoF8Khhpp8Dg8Pc+TIEd566y1KS0vl497e3uTk5LB582YZ6jIyMmIngTbTEFZxjUbD0NAQR44c4eDBgwDk5eWxadMmYmJipFfKcY9U64264l7zqFCfh3q9Xl5CdDqd3R4VFRXFggUL7BQmnNXvRyXN6jNEHUJpsVi4du0aH3zwAUVFRYBNfjIrK8uleMzDIC6ywqPT09NDV1eX5Dmenp6kpqZK1RpxKZmuvk0beXWcYElJSaSmpqLT6Thy5Ajd3d3ShTUVGhsbefPNN7FarWRlZfHss8/y6quvyi9GWItcbdDVxFUQbMcBLCoqkjFO8GCMWkJCAhkZGXakwpX6KbJHRbxObm6u3SEjVCV0Oh2LFy/m+9//Ptu2bQPuJ2e4IskBe00+sIV3nDhxgqamJknWhDLEggULWLx4MWBzocyGalvqeRQZGUl+fr4Mz3nUIhHieVfKwp8K6rXY19cnwyW8vLxkvOTk5CR79uzhz/7sz+wsXq54sRLhWCMjIxgMBvLz89m3bx/r16+3k2sDG8k5evQoP/vZz2RCqJ+fHzk5OezatYslS5aQn59PSEgIly5d4sKFC9TX18u/M5NudTGHzGYztbW1NDQ0oNfriYyMlOtQeKXUGB8fp6Ojg0uXLvHOO+9QWFgo9XvBRl4jIyPtPAXO3kcdLenqpLKAgAA7lQv1XjI5OUlzczONjY3o9XrS0tLsMu9nM9ShEY4XZxEbqx43V95z4L7Ch+NZUFZWxhtvvMEvf/lLRkdHycjIYPfu3eTm5sr+u1pejxqiT2KcampquHHjhiyW4sgDpjukbsbs7wEBAbIjmzZtoquri+TkZOrq6uju7sZisaDX66XLQJ0gc/XqVbRaLS0tLSxfvpzly5fbWRqcBXH4qS1QU0kMgS3Gd3x8nIqKCj755BM7l7q4oYDNCuvj4+OyREgtmG61WmloaHjAHavX62X2aHR0NAsWLJCLcnh4eFpK+j1OqDfQ/v5+mpubGR4elnFZIjtW7cpydgLIo0BsqgKBgYHSJStCCB6lD+pKXGr1AfE3XAVqSTt1bDnYr8/MzExyc3MB2/z09vZ2ybUnZATF9x0dHU1aWpq0SlksFpqbm+np6aG0tJQPP/xQEtesrCxWr17NypUrWblyJdHR0VKdQLhr4b41fqZkiIQV0Wq1UllZSVFREQMDA6xfv57NmzfLfV4dE2symWhtbaWoqIiysjJ5iAppJZEAlp2dTUFBAf7+/nZ/y5lQqziIi7BAaGioXVKQcKEXFRVRXl5Ob2+vHJ+ysjJSU1NlZUpXJj1fhIepRoBtj/L397eLdXZV8iq4gLAq9/X10dzcTF9fHy0tLVy8eJHjx4/LmPuAgAB8fHzswpNcNTkd7M/+yclJysrKKCwspKenh4SEBNauXSuLh8B9I8F0YcZOW0f312uvvcbmzZu5ceMGxcXFMp7pypUrfPrpp/I9Isbkxo0bXL58GX9/f374wx/yn/7Tf7L7opwBoZ34RQNUWlrKnTt36Ovr4+bNmxw7dkxaOcBeL9ZkMlFXV0dNTQ0pKSnyJu4Kkj1wv8671WqlsbGR3/72t/zqV7+irq7OTpIH7h+K6vAQVyd4jtDpdPj6+kpZHbU1Tx0/6qobqiMcLRhfZU6JA9fLyws/Pz+XtYqoE+vU805InQn09/dLAfaZkOD5qlC7Wg0GA1FRUfj7+0vpIKvVSklJCQcPHuTy5cvU1tYCtmTJJ598ku985ztSh1qoZZSVlfHBBx9Ii6XIFp6JS4i6utTw8DC3bt2SeQ/p6el2aitgs1yVlJQwNDTErVu3+PDDD2lqarJzz46Pj+Pt7U1eXp4sIxsWFmbnBXMm1N6Kvr4+SWSSkpLIyMiQFnSLxUJraysfffQR//7v/05lZSXp6emsWbNGGkEuXLjAqlWr2LRpk0zy+rJZ8K4A9Zj09/fLQg16vZ7Y2FhiYmJkoQNXTpB1JNeXLl3i8OHD3Llzh9raWurr6+3OjOrqag4ePIher2f9+vVERUW5ZHl0AUfy2tjYKPeYmJgYcnJyHrC8TidmlEmI4GVx04iNjSUkJITs7GxGRkbw8PBgw4YNbNy4kY8//pgLFy7IChwCg4OD/OpXv6K/v58tW7awaNEiIiMjZ3TBqs3n6nZ1dHRw9+5dmcTU2dlJS0sLDQ0N9PT0YDKZ6OjooLW19QFLkJgY4+Pj1NTU0NzcbHcrdwXyqhZsr6qq4re//S0///nPpVSGEK8X5W4HBgZobm6WKgqzBY4yZ8IK7uhKdcyAddVN5/PwKCRFHfYyNDREbW0tWq2WhQsXsnTpUrtkIWfPUTUEORL/HgaTycTIyAgBAQFOJzePioSEBDZv3szSpUtl3zw8PGhpaeHChQvcuXOH4OBgVqxYwZNPPsmGDRvsCqiIwiJvvfUWr7/+ut0F8+7du3Lvmak5PTExIb0bOp2Oq1ev8j/+x//A19dX7pWtra20tbVhNpu5e/eujEN3XJdpaWm88sor7N27V5JBdYVGZ0Kv18uEsxs3bsi9c/ny5SQnJ8v5ZzabuXr1Ku+++y6VlZX4+vqyfft2Nm/ejMFg4Pr163z22We0tLQQHx8vyavZbJ6yRKkrQ1joRkZGKC0tlfq+3t7ehISEyFBBdUEgV4TY+/r6+mQoy9mzZ+ns7LQLZxHo6+vj0KFD3L59m8LCQl5++WXWrVs3w61+dKiVgQYGBmQBELCNVUBAwAOejVlveRWkR9yOhUCvRmOrBSxclwIrV66UjxUXF0vXpE6nw2Qy0dbWxr/+679SWVmJoijs3r0buB9nOt3WPbERmkwm+vv7aW9vp7q6moqKChoaGqT2WVVV1ZSTdioIN0FQUBBJSUl2YRbgXIuWOh5pYmKCpqYm3njjDf71X/+V3t5eYmNjWbx4MaGhofT29lJbW8vt27eZmJigo6PD7rb5ZcoKOgvqQ06oQDhWPlEnJIr3uMLh+Ljh6G6trKykqqoKjUZDdnY2OTk5eHt7u4yYOty/XOr1esbGxigtLZUWArCNqZiHiYmJJCUlyaQ7V8v2fdic8vHxISYmxu6wMJvN9PT00NHRgdVqJScnh6effpo9e/ZIAiAq4un1esrLy7ly5YqdTqO3tzcREREy3n46XbXq71mv15OamkpqaqpMGrtx48YXvl/E1wsVhsTERPbu3ctTTz1FVFSU3LOm24X5RVB7AcB2Qaiurqa7u1tqDKvVENra2vj444+5ceMG8fHxfPe73+W1116T8ekxMTGcOnWKixcv0tDQIN8nLM+zAY7fSUdHB1VVVTKG0tfXF19fX5c3Cqir2AE0Nzdz8uRJjh8/Li9YQkIqODgYf39/Gcok5kF1dTVmsxlPT0/mzZuHr6+v08oBPwxiDZlMJlngREBIfgm5zJlQKZl28uoo6WE2m2W2uWNmoRqbN28mNDSU4uJiioqKKC0tpaGhwU7a59ixYyQmJrJo0SI7ofXpgtolMzAwwOnTpyksLKSmpoampia6uroYGhqSfXS0rqqhtuR5enqSkJBAQUEB+fn5JCQkkJaWZncwOfNAVZPXiooK3njjDX7xi1/Q29tLUlISr732Ghs3biQkJITq6mo++OADGdM7OjoqNRfBeRI1XxUPW4COZNXVN1gBR43ML0rMEZuyyI6urq6mpaVFumBFjJYr9X9sbEwe4E1NTfzHf/wHJ0+elOEDwi0ZFxcnhevF612JuIL9vFLPuaamJo4fP46/vz/JyckYDAY6OztpbW1lcHCQ4OBgVq9ezdatWyVxBdshU11dzcWLFzlx4gQ1NTXyucDAQHbt2sWOHTsecNlPB9Qxyd7e3ixatIhFixZx+PBhO+WZz3u/Xq+XxpCQkBBeeOEFXn31VbvsdFe4UIH9WPr6+uLv7y+lsNSlbsEWanby5El8fHz44Q9/yMsvv2znkhWJaAMDA3aerZmsjPa4IYxC4nyPjo62S0pzZe+Wul06nQ6DwWDnOc3Ozmbjxo0sX76c2NhYTCYTzc3N3Lx5k9OnT1NUVMSHH35IV1cXTz/9NJs2bbLL63HmmDqS84qKCg4dOmRnEAgPDyczMxODwSDX43Sf9dNKXsUBp67SI9xC6teMjo7K14o6v8LltWLFCi5fvszPfvYzKisrZR11cdM+cOAAMTExvPTSS6Snp8sa5tMRG6M++C0WC21tbZw8edJOP3EqqGPuhD6hmrzGxMSwf/9+du3aRXp6ukx4cjZ5VUtjwP2yvp9++ik9PT34+/vzzDPP8Pzzz0t9zLCwMG7cuIGHh4fUFa2pqaG6utquJOxs2mDVBTIe5XWzBepYwYe1XX1ha2xs5NSpU5SXl+Ph4YHBYHhARN0VoCYrt2/f5tSpU3R1daHT6fDz85Purri4ODZv3kxeXp58vSvH1MH9faCzs5Nz586RkZEh115VVRUNDQ2yquGLL75o504eGxujtraWTz/9lMOHD3Pr1i0ZLuDv78+WLVt47bXXWLNmjTx4ZoIwiHUVEBDAunXrqKmp4dChQzQ1NU15uRJ7qWO54tjYWDZv3iy9dkJyyxXGU62o4OXlRVBQEAsWLCAyMpKbN29SUVEhvXRinDw9PVm5ciVPP/00kZGRmEwmhoaGZHiW0It1FXL+VaAeGyGZJYpWZGVl2eW1uOradFwj8fHxrF27lurqaoqKiiRxXblyJYsWLZKvs1qtLF26lMzMTN58801OnjzJ4cOHMZvNhIaGEh0djU6nc7osqEgUVZPXAwcOSMWkwMBAkpKS5FjNVNXJaSOvjmy9paWF/v5+srKy7IiYkIcQG5CoWT06OipN0CLgXrj6TCaT3Fzb29v5X//rfxEdHU16ejpgW/yCAD5OqNvt6+tLbm4u2dnZkrwKkjpVPKu4hTkOqsFgYPXq1bzwwgtSMkOdyOBMOGqe1tXVcenSJdrb2/H09GT9+vVs2rRJHp5w3xoi+mkymaioqODOnTvEx8fbZarP5k13LuBRDgIxD3t6eigsLOTw4cOMjY0REhIiM93FhdHZEmjC5S8IeVlZGefPn5cEzWq1yrXp5+fH/Pnzyc7Oli5yVwsZcISjtb+3t9dOlaWlpYXe3l6ysrJ4+eWX5bocHByku7ub0tJSDhw4wOHDh+no6JDhMP7+/jz11FO89NJLLF++fMYvmOpM8iVLlkiLpGMsLtyX6VMXTAFbuEN6erqdAogrjqVaji4lJYWQkBAAzp8/z/79+8nPz6elpYXOzk7mzZvHunXrJCnw8PCwu2waDAaCgoIeKGbjigTvUSDk60wmE76+viQnJ89oAtDXhZiX3t7eskT65s2bWblyJRkZGQ+EzGk0GjIyMjCbzTQ0NNDU1ERVVRWXL19mxYoVPPHEE4SEhDg9JE1wEoG7d+9Kz2pwcDBLlix5gAPMWvKqjn8TQdiHDh2ipqaG2NhY0tLSCAsLIyMjg5ycnIeal+/evUtjYyNHjx6VAuMCGo0GX19fent7MZlMdsHD06VRqLYg6/V68vLyeOGFFwA4fvw4nZ2d8nAUdeDDw8NpbGykpqZG3pYnJiakq2zDhg3s379fSvU8iit3puCYoVtUVMShQ4fo7e0lLy+PnTt3ypvk6Ogoer0eg8EgkxLARl5LSkrIyclh9erVktjOxqzY2XooCDhm3ff19dHY2EhQUJAUT4f7SgpeXl54enrKspvvvPOODAFRy/SAa2Q5qzfM8vJyXn/9dT766COGhoYICAhgYGCA8fFxIiMjeeWVV3jmmWeIjY2dNk/N44YoZSsITFtbG5cvXyYlJYW4uDhGRkYYHx+ntbWV69evExAQQG9vL9XV1VRVVVFSUkJRUZHUFtVqtQQFBbF27VpefPFFNmzYYKfxOpPfhzBO6HQ6MjMzeemll4iMjKSvrw8fHx8mJiZob2+nvLycsrIymdwl9tvMzEzWrVsnySDgcjGDjvD19ZVu8aqqKpqamhgcHJQxkB4eHoSHh8s1azabJVEdGBjA19eX9PR0uz47ew1+WagvSBaLBbPZzPj4OF5eXvj6+jpd2uzLQE2ufXx8WLVqFYC8UIkQEbHfCOnF6OhocnNzuXz5MlVVVQwPD9PS0iKVKMD5EoTqvqmr/IWGhrJ+/XoWL15sVwxn1pJXteWwtbWVo0eP8t5773Hr1i3AFh/x7LPP2rkEBgcH5W3SYrHQ0dHBxYsX+fTTTzlz5swDZR1FTKnBYHjAHD9Tcjf+/v5s2LBBxre8//77WK1WwsLCWLx4MXv37iUjI4MLFy7w7rvvUlZWJm/G4nV79uzhySefBOxLB7oC1Deouro6rly5IiW+YmJiKCgosLOKa7Va/Pz8iIyMJD4+nqqqKkwmE7dv3+bOnTsPqCfMNjh7A/m6cJT36u3t5datW8TFxckDUFxWRAyo2Wzm+vXrvPfee5w6dQq4TxTUov7OToZRJ4t1dnZy9uxZPv30U6lzqo77jI6O5jvf+Y60Fgj3sitCfWgEBQWRkZFBfX099fX1NDQ08PHHHzM+Ps7ChQvp6OjAbDZTUVHBP/3TP3Ht2jV8fX0pLS3l6tWrsuSmRqMhKCiI5ORkFi1axPbt21mxYoXd5WWmPT9CdlBA6HmrUVRUxM9+9jPq6uoYHh62W49Llixh48aNdrG6rkjk1N4JrVZLbm4un3zyCRMTE1y9epWCggIpEdXY2MjAwIBMOBNztKuri8LCQnp7e8nMzJSlRcXnzxY4JgN2d3fT2toqC9yIMsezBY57oCCtag/mVGRcKNqorZuC5LoC1EaPrq4uO2+PwWAgJyeHjIwMPDw8HrnQzePAjCVsqa2rFouFBQsWkJubS3t7O7/97W85c+YMOp2OoKAgGdvT0tJCdXU1AwMD8r3CsifigxYvXszf/u3fsmbNGjlJppv8CfKp0Wjw8fGRLoKAgADa2tpISUlh48aNrF69Gl9fX7y8vGhsbKShocFOfSAkJISMjAxJFEZHR+1kh5wJtQu1q6uLc+fOUVFRIZ+Pi4t7qEsnKSmJVatWMTExQV1dHePj4/T29krC6mw3yJeBsIRP5VJ2TH5y1T6p4+3U3ou+vj7u3LnDkiVLJHlVW3cALl68yEcffWRXVCMtLY3du3fbuYqcmYg3VULBuXPn7BIF1YegXq+3K5Thyhcp9V6Wnp7O888/z8TEBO+++y6Dg4O0t7dz+vRpma0sPFA1NTWYTCa8vb2pq6uzG3cfHx82btzI008/zbx586ReLDg/dEJYl6ciz8PDw9TU1DAwMCCLhYCtrOoTTzxBdna2lKFyVb1MteqBt7c327dvp7a2lrfeeoujR4+Sk5PDc889x7e//W0OHz7M0NAQTU1NpKSkyM84ffo0b7zxBn19fXZKEjD7yKt6vtXU1HD9+nUGBwcJDQ21G+PZDJGEJkigMCIIydCmpiauXbsmKwDC/ZLyzoa68tfIyAglJSV26haA9NCJ188Upp28Co1FtcUnIyMDrVZLSUkJly9f5p//+Z/tLKtqiBgSIU0lEroEFi9ezJo1a4D7OrIzJRUiXKW+vr6sX7+e+Ph4Ojo6CA0NJT8/XwqH+/r6EhgY+MDGIqprCLhSJr56EprNZjvxaBH6ERQUBNwXPBdITk5m8eLFVFdXU1dXB8wOiSwB9aEnNhx1IqB43DF22xUPS7BPiImMjJTJgr29vVy9epXU1FRJYLy8vOjr66O/v5/KykoOHDjAyZMnpdVOr9ezaNEiCgoK8PDwwGw2PxCOMNMQlwuxvsrLy7l69aok4sK1LGSVhoeHaW9vl1Y6Vz/wRfiOn58f69atw2QyMTExIT0htbW1dpm/AsLqDLYLZXJyMnq9nuDgYPbu3cszzzxj57IVijDOhBgLi8Uik1snJia4c+cOv//977l27Romk0m6XXNycvjWt77FypUr7Syargq1jqtOp2PZsmW0tbVRVlZGcXExn3zyCfPmzWPJkiVs3bqV3t5ePD09GR0dpauri7Nnz/LGG29QXl5OQUEBixYtsiOvrpAr8ahwvPB3dHTI80Kv17t0X9ThfVPt++rn1XH44nc1RxG5JKLvISEhxMbG2pWHd9bZIqz+YMt7uHbtmp0hIzQ01GkVM6d9dogkCaHdBtDQ0MA//MM/4OHhweDg4OcSVyEhIsgr2KyvIs5r4cKF8vUzufmKLHxxMwkICGDBggWyWpZa07ampoaysrIHxPodF68rWe7EIWK1WomIiCAvL09aWnU6HSEhIXJzEdYSAWH9cBTxn80QBELdp9mG6Oho1q5dS11dHRcuXKCjo4OTJ0/KTXbTpk0AnD17lpMnT1JWVkZzczPt7e2YTCbi4uLYtWsX27dvl9ZZZydpwYNx4o2NjdJLIA4J9cVDlF+eLXDc01atWkVkZCSXLl3i7bff5syZM5/7/vT0dF5++WXWrl1LVFQUOp2O4ODgB3SLXUk1Ynx8XMbOl5WV8etf/5rPPvtMuiw9PDzIycnh2Wef5ZlnnpEKA87Myv4yUH/PeXl57Nixg76+Pq5cucLf/M3fsGvXLmkQGRgYoKSkhMLCQg4cOEB3dzcrV67klVdeYd26dfj7+7u8gP+jwMPD4wHC6irzcSqov3O18cJisUi5KHEuGgyGKcemqqqKS5cucfv2bYaHhzEYDKxZs4Zly5ZJb4izk2AFBgcHqayslNq1YCPa6pjrmfRiTQt5VQ+S0O/7wQ9+wKVLlzhx4gRtbW2yigbYLCJhYWGS6E5MTDAwMCB/F5YTnU7H6tWrWbJkCcnJycTGxpKamsro6Cje3t4zflNzlFASVmbhFtDr9UxOTlJdXU1ZWZl044lAbMeBdiXyCtgR8fnz58sYx56eHqqrq6mpqSErKwu9Xi/JTGdnJ2fOnOHcuXN2FxZHguvKULdTyH3pdDq8vb3x8PCgq6tLJt2p3+OK/VNvql5eXqxdu5be3l4aGxvp7e1ldHSUoqIi9Hq9LLVZVFRkF98ssHDhQpmR7mz5FjUcv3v1vAsLC2NwcFBajmNjY9m6daudDqgrW3jUEPPN39+fhQsXSmt5dnY2/f39+Pr6yoNTyA7q9XoWL17Mpk2byM7Otvs8Ydl0FRelI8S8FXtoW1ubHKu4uDi2bNnCtm3bJHF1pTn5RVBfnmJjY3n66acZHx/nV7/6FdeuXaOkpIQLFy6QnJxMX18f9fX19PT0oNfr2bNnjyx9K+JgXZnkPSrEHgv3CaCr7alqNaCHXYAfVtGvv79fxpPfvXtXJkAL9Q+wxXrv27ePZcuWyc93ZnU49d+dmJiQibxCrrSvr89pFTSnnbwGBgayY8cO9u7dS11dHa+++ipnz54FkBVwxsfH5eB9HgnYsGEDf/mXf0lBQYFMynKFTddx41BnbsN9jcUvep8rIyAggJSUFMLCwujq6uLjjz/Gx8eHbdu2kZyczNjYGM3Nzdy4cYMjR45w6tQpGd8bGBhIamqqnXakK4zbo0AkklgsFkZGRh4aNgCuOZ6iTSKQPjw8nOXLl3P+/Hlqa2sZHh6mp6eHzz77jMOHDwP3JV+ENQ5sItvr1q2TqhhCssgViILj964OxRGXYbARht27d/PMM8/YWQtmixXW8UCMjo7m+eef59lnn7V7XF1URKy1qcbJlfvtqKkNNrKt1WpJSEhg3bp1PPnkk3ZJg7NlTxEQREin05Gfn8/o6Ch9fX0cP36c1tZWjhw5Il/r7e3N8uXLeemll9i6desDJdFdce/5shChIjD1/uoKEDKeIyMj0uOq3m8ehpqaGq5cuSL7V1xczMWLF6msrJQFOZYvX86zzz7L5s2b5eXa2RKE6jkmFJQqKyult7y1tZWmpiYWLVqEp6fnjJ4H025yMBgMskPJycm8+OKLsjJPaGgo3d3dnD9/3s4K6enpye7du9m4cSOenp5SV3T58uWsXr3aJQ7MqaA+NNQkJz4+nsTERDo7OxkfH8ff3x+tVktERMQDGn2uBDXJFP1IS0ujq6uLiooK3nzzTSoqKoiMjMRisdDb20tTU5NdYppWq5VVb9RuEFc9OB1LnMbGxpKTk8OVK1fsLiDp6ekuWcXnYdBoNDI5IiUlhT/8wz8kPDycw4cPU1ZW9tD3ZWdns2zZMpYvX86qVatkfJOrlIKFB0v1zp8/n4yMDO7cuSMvxXFxcWzfvp29e/eSkJAg5VxcOVb5YVAnwTpm6X8eRCiPWH+uMn5TQd22lpYWmczi6enJ6tWreeaZZ1i0aBHe3t6S3Lpyfx4G9dybP38+3/ve99i6dSvt7e3cvXsXk8mEh4cHQUFBZGVlsXr1aplroJYcnG1zeCqIUtxgf/a4SjiL2D/Hx8c5cuQI58+fJycnh40bN8ry0lqtlpqaGkpKSujr65PyWDU1NVRWVjI4OIjFYsFkMhEaGsqWLVuIjIwkNDSU7OxslixZYneuOLvf4py2Wq0kJCSwY8cOioqK5PMxMTF4e3szNjYmc0NmCtNOXkWiC9g2zz179pCSkkJVVZXMYPPz8+PChQt4eXkREhLC/Pnz+dGPfsTKlSun/EyxAbuaBU9MNLVUl4eHB0uWLGHLli10dHRILb+8vDxWrVrl0sH2jgd7eno6GzdupK+vj4qKCvlvKohktfXr1/Pqq69KKTOTyfTQ+B9XgCMRSk5OZsuWLbS1tXH8+HG8vLxYuHAhW7dutcu2d9XsZgFxsI+Pj+Pr68uaNWuIiorC29sbg8FAe3u7tHYI70dCQgIbN25k27ZtzJs3TxJXx8przoajRuvy5ct57bXX+OSTTygvLyc6Oppvfetb7Nu3j9jYWJlg6Grr7VGhtko5xtZNBUFwHUuQujLEfO3r66O5uVmGmYkkp3Xr1uHt7T2rx1F9ARQJeaJE7udBZK47O1HyccMxbECEtbjKvqpWRhDGm7CwMMrLy2VhDa1Wy+XLlzl79qzca0Viq8jZEdXVduzYwZYtW0hNTZUJao59dYU9dnJyUsqSLlmyhJUrV3Lp0iViYmLYt28f6enpch7O5FhN+8wXnREun6ioKDl4YPti1qxZQ1dXF1qtVpbOy8rKmvLzRGaxY8KUK8HRVbtgwQIsFgsNDQ288cYbgI0I7tq1i7i4OBmj5moHi+PNNzMzk2eeeQZfX1+OHTtGeXk57e3tU743JSWFvXv3smfPngc0eGcTgoKCWL9+PSkpKfzgBz9Ao9EQEhJCVFTUrJSoUW+GaWlpfPvb32b79u1SNQDuJ0B5e3sTGRkpyxSK51xtzTlu8Kmpqbz88sts3LiR3t5evL29ZflCUcXHp8M2AwABAABJREFUFQ6FrwsxFg8r0avW0XSly8aXgeijOBxjYmJITEyUJEfIYs1mOEq9PcrrXS0W9KvAcU6GhoaSkJBATU0N/f39NDc328lkinPf2S50rVZLTk4OK1asoKSkhN///vdSd1h4uASCgoJISkqS+2d8fDyLFi1iwYIFZGZm2ukSCzhWtnQ2HLnJc889x5IlS/D19SUxMZGQkJAvLDM+HZiRVa92bVmtVgwGg12ciFpkWQ1RuECQVC8vL3Q63awhQOoNJi8vj29961uYzWY6OzvZtWsXOTk5gI3kunKfxKIUVcWE2kNVVRW1tbV0d3fLBScqhy1dupRnn31W6hOOjIy4tMX1YdBqtQ9kVM5mqC2wnp6eJCUlkZSU9IXvE3Gws6ESlV6vJy4ujri4uCmfd+W19mUgvASznbxNBVFLPTg4GH9/f+lOXrVqFcnJyfJ1s+XS+HlQW2BFIqijRV1YWfV6vcsZOb4qHIloZGQkOTk5VFZW0tLSwsWLF1m8eDEZGRlOk2NSQ4QE6vV6nnjiCcLDwzl//jzFxcX09PRID7NOpyMwMJDo6GiysrJISUmRYUoJCQnMmzfPThd1bGxMzgFhUXe1PVbkfQAkJiaSmJjo5BbNEHlV48sMilrn7Mu+1xWg3mS0Wi2bNm1i2bJlWCwWu2IEM1UR7KvCkXCmpaWRkJAgY5TUGq5qoqvu42wkrnMZXzZOzj12bswk1EoeERERhIeHk5iYyK5du+zI61wj7oLATGVZdeUz4qvAkbxGR0eTk5PDuXPnaGlpobi4mBMnTpCWlsbSpUtnTL/98yCqgMbFxREVFcXy5csxmUx2Z6D6UilCdQTxdVT20Gg0TrFafhXMVNnXR4VTVr4INBdQJxKIG4her58Tt2q4H6PkaHFWW7NmA9RSNI+6kZhMJlnDGVwn+P7LQNTcFgeq2JhcPc718yDGQ5RgnEqfT7iLZls/hQdAXKyESPhcsVh9E6Aeq6ysLP74j/+YgIAAVq5cia+vr8vFXT8uzMYEwq8KdUihl5eX1G0PCAiQrxHqNVFRUWRmZgI4Pc5ZjJHwAotkrUeF2WyWclszneT0dSE03MfGxuS+6qyEQafMAMekmLl2e3aEun/qqhyzjZxPVR71YTcxscAdZURm48b8Zcj6bMNsSuJ5VKiLm7gxOyFUWISr9Xvf+57d87NxH3FjaggyqtFoSE9PJzY2Vj7X19dHTU2N1GkGJPFzBYgz0LFIj/r/jnN1toctucre6hoz4BsCYcGzWq3odDqXWYBfFsJyLpLn1IRcWEREdrP7kHHDDTe+CtSC8I6Pu/eVuQO1UcTX15clS5Zw/fp1amtr0el0REZGymIMjq93FsTcnKqYgpibIn5V3V5X1a+djfjS7ElRlOloh8tgrvcP5n4f53r/wN3HuYC53j+Y+32c6/0D5/Rx48aNbNy4EbBZZo1G47T+vbk+jnOxf+4rgBtuuOGGG2644YYbswYaV8oec8MNN9xwww033HDDjc+D2/LqhhtuuOGGG2644casgZu8uuGGG2644YYbbrgxa+Amr2644YYbbrjhhhtuzBq4yasbbrjhhhtuuOGGG7MGThMaVRSlHnhYgdwOo9EYNYPNeexQFOU14Ndf8LJJo9E4uyoVOEBRlB3A/wbkAKFAG3Ad+Eej0XjRmW17HFAU5WlgLZAP5AH+wO+MRuNLzmzX44aiKHHA/w1s5f44fgT8ndFo7HVi0742viljCKAoyhrgT4GVQAjQA5QCPzEajZ85sWmPHYqivAz8x71fv2s0Gn/hzPY8LszVMfwmnImKovxPYAmQAYQBo0ADtr30X41GY7fzWvd44Cr7qbNV8vuBn0zx+NAMt2M6UAz83UOeWwNsAA7NWGumAfcW6l8A3dgWZxeQBuwB9iuK8orRaHzDeS18LPgv2BboENAMZDm3OY8fiqKkAheACOBjoAJYiu1SslVRlFWzfNOd82MIoCjKfwH+K7Z1eADbBSQMWAisA2Yt8XGEoijxwL9gG1M/JzfnsWGOj2Exc/xMBP53oAg4BtwFfIHlwN8Cf6QoynKj0djkvOY9FrjEfups8tpnNBr/1sltmBYYjcZibIv1ASiKIiyS/z5T7XncUBQlCvjPQAewwGg03lU9tx44ic2SN9vJ6/+ObYFWY7ttnnJuc6YFRmzE9YdGo/FfxIOKovwjtv7/N+D7Tmrb48CcH0NFUZ7BRnqOA/uMRuOgw/POr+f4mKAoigabBa8b+ADbPjTrMdfHcK6fifcQYDQaTY4PKory34C/Av5/wGyvGOAS+6mzyes3Doqi5GK7ibUAB53cnK+DRGwx05fVxBXAaDSeUhRlEAh3SsseI4xGo1yYc7FKiaIoKcBmoB74qcPT/xfwR8DLiqL8yGg0Ds9w8x4LvgFjqAX+JzACvOBIegCMRuP4jDds+vBDbFa6dfd+znp8A8dQYg6diUxFXO/hHWzkNX0GmzMtcJX91NnkVa8oyktAAjAMlACFRqPR4txmTSu+d+/nL2d5P6sAM7BUUZQwo9HYJZ5QFOUJbHEwHzmpbW48OsThf9RoNE6qnzAajYOKopzHRm6XAydmunFuPBJWAsnAe0DvvTj0XMAEXJkLsecCiqJkA38P/JPRaCxUFGVOkFe+QWM4BebKmfh52HXvZ4lTWzGH4GzyGgX81uGxOkVR/sBoNJ5xRoOmE4qieAMvAZPArE4uMBqNPYqi/B/APwK3FUX5CJsbLxXYjS3m53sP/wQ3XASZ937eecjzVdjIawZu8uqqKLj3swNbvN189ZOKohQCTxuNxs6ZbtjjhKIontjOi0ZsVqy5hG/EGDpiLp2JaiiK8p+xxWIHYkvgWo2NuP69M9s1l+BMqaxfAxuxEVhfbIv134Ak4JCiKHnOa9q04VkgCDg0B4K2MRqNPwH2YbsEfRf4S+AZoAn4jWM4gRsuicB7P/sf8rx4PGj6m+LGV0TEvZ/fB7yBTdg8H7nAEeAJ4F3nNO2x4m+wJS69ZjQaR53dmMeMb8oYOmJOnYkq/GdsYVd/io24HgY2z7XLhzPhNMur0Wh0zDosA76vKMoQ8CNs2XlPzXS7phl/dO/nvzm1FY8JiqL8BfDfgX8G/hVox5Z5+D+A3ymKkm80Gv/CiU104+tDc++n1amtcOPzIKSFNNisczfv/X5LUZSnsFnV1yqKsmK2up8VRVmKzdr6D7O1D1+AOT+GD8GcOhMFhNSnoiiR2EJC/h64oSjKTqPRWOTUxs0RuGKRgv/33s8nnNqKxwxFUXKwTeJmZrfcCQCKoqzDlmDwidFo/DOj0VhrNBpH7i3Mp7AF3//oXkKQG64LYVkNfMjzAQ6vc8P1IHR4a1WkB4B7Fsoj935dOqOtekxQhQvcAf5PJzdnujCnx3AqzLUzcSoYjcYOo9H4IbbQq1Du6xK78TXhiuRVuJp9ndqKx4+5FpS+897PB2QyjEbjCHAF2/xaOJONcuNLo/Lez4yHPC+yYx8WE+uG8yHGsO8hzwti5D39TZkW+GGbn9mASVEUq/iHzTUL8PN7j/3EWY38mpjrYzgV5tqZ+FAYjcYG4DYwT1GUMGe3Zy7AFcnrins/a53aiscIRVEMwMvYgtJ/6eTmPC7o7/18mByWeNw8A21x46tDXD4235PrkVAUxR9Yha1KzKWZbpgbj4xCYAJIVxRFN8Xzufd+1s9Yix4vxrDtm1P9u3HvNefu/T5bXepzfQztMEfPxC9CzL2fc5qozxScEvOqKMo8oM1oNPY4PJ6ILXYSZr+4vRrPAMHAgTkUlH4W+GNsVUP+zWg0tognFEXZho30mLBVbnLDRWE0GmsURTmKza31A2xViwT+DpsH5N9mq8brNwFGo7FLUZS3gRexJTX9F/GcoihPAluwhX0cdk4Lvx7uuc2/M9VziqL8LTbvzuuzuTzsXB/DKTDnzkRFUbKwFV5qd3hci634RARwYbaX23YVOCth6xngLxVFOQXUAYPYJJZ2AAZs8S//j5PaNh0QQemzvXqIGu9hqwSzCShXFOVDbAlb2dhCCjTAX87ysqIoirIX2Hvv16h7P1coivKbe//vMhqNs73Cj4LtkvHPiqJsBMqBZcB6bOECf+3Etn1tfEPG8M+wjdlf39NZvoKtkMhT2Cw93zUajX3Oa54bj4Bv0hjOxTNxK/D/vydrVoNNOjISWxWqFGzn43ed17zHA1fZT50VNnAK+BCbKPML2BbtWmyun1eBnUajcU64m++Jaq9mjgWl3xO0346tVNxtbBvsj7CJ2X8GbDEajf/kvBY+NuRjm5OvYrN+gG0jEo897ZxmPT4YjcYabFqEv8F2eP4I22Xyn4EVs/0CwjdjDO9iG7sfA/Hcr0J1EFhjNBrnoszSnMI3ZQzn6pmIzZjz79gSs/YBfw7sB3qwebHmGY3G285r3mNDPi6wn2qsVrcCjhtuuOGGG2644YYbswOumLDlhhtuuOGGG2644YYbU8JNXt1www033HDDDTfcmDVwk1c33HDDDTfccMMNN2YN3OTVDTfccMMNN9xww41ZAzd5dcMNN9xwww033HBj1uCRdV7vleKb1TAajZqHPTfX+wdzv49zoX8w9/vonqdzu38w9/s4F/oHc7+P7nk6d/vntry64YYbbrjhhhtuuDFr8KUrbBmNxulox7RCUZRHfu1c7x/M/T5Od/+sViuO+sgajcbu51eBK/VxOuCep/aY6/2Dud/H2dg/mPt9dM9Te8zF/jmrPOw3BhaLBZPJhEajwWAwoNW6jd2zDRaLBQ8PD/m7RqP5XJJqNpvRaDR4eXnNRPOmBePj40xMTMh+qPvvhhtuuPFVMTExYbe/6PX6Wb1Xfh6sVitms61YqE6n+1rGjdkKq9WKxWLBarXKs3NiYoKJiQm0Wi1eXl54en55Kuomr9MMDw8PfH195e9iAOcq1FZJtXVSo9HMKuIu+qHVavHw8MBqtcoFNzY2hslksuunVqtFr9fj7++PTqdzcuu/OsT89PLysjtQ1N+HG66Ph3kHZuPeo15nn1cRUt2/2djPbwo8PT2/ElmZbRB7qV6vd3ZTZhSO579Wq31gvD08PL729zL3Z5ATMRVRtVgsc3rhCpI3OTnJ5OSknMAeHh7odLpZQ34mJycZHx/H09OTyclJWltbaW5upq2tjaKiIm7cuMHo6Cienp5YLBa8vb1ZsmQJ+/btY+HChfJzZttl5WHtFTfn2TJ+33QIa8fk5CRgI3Oenp6zai4KCNIqLo9wn5yqD0hx0XR7CWYnZtte+UWYmJh4wKI81/o4FcR6tVgsANNmzJm7LMoFoNFo6O7upry8HIC8vDz8/f2BB13RsxlWq5XJyUl5gMx2y6O4YHh4eNDd3c358+cpKyujubmZmv+Pvf+OjvM603zRXwFVyDmDyDmTAAnmLJJikkRR0RKVLFu2p7rdc/qcs6Zn5k7PnJ61euZ0r9tz7bYFj1PblmxRoiiJFMUsRkAkwAgi55wzUAAqoQr3j9Le+gokJUoiUAUIz1paEFEBe39773e/8XkbGykuLmZsbOyuz965cweTyYTVaiUuLg53d3e8vLzm1Tq7uLhgtVrp7u6mq6sLV1dXYmJiCA0NBb5Q6jUazbxRZK1Wq50ip1R0FgqURqOrqytqtfqe6yOMSvEMnBEWi0WGlJUG79fx1ijXehHOASE7hoeH6ezsZGBgADc3N+Lj44mNjcXV1VUqPCLapQw1zxeIu12j0WAymWhsbESlUhEbG4uXl5ejhzfrUJ5XAIPBwODgIFNTU3h4eKBSqRgYGGBgYAAfHx+io6MJCgr62k69ReX1IUNpWen1ek6ePMk//uM/4ufnx+9+9ztycnLkaz4+Po4c6kODEC7zScB8GYTHFeDq1av8/Oc/p6KiApPJhMFgwGAw3PNz3d3dHDp0iK6uLjZu3MjatWtJS0uTh9hZre6Z42psbOTIkSOcOXMGT09PnnzySZ5++mn8/f1xcXGZdx5Y5f4U/82n8T8IlHP6sj32IO9xNIRi/W3G6Mzz+y5BeMbF/uzv7+f48eMcPHiQ8vJyMjMz+fGPf0xsbKz8jDDA5uudYjKZ8PT0BKC1tZWf/exneHt789Of/pSEhAQ7BX2hw2AwcO3aNa5fv87ExAQRERG4urpy5coVrly5QmRkJC+++CJ79+4lMjISeHDHnkOVV6U3RFhZM/8D28YX3gRnXnDh4RGhgrKyMv785z9TU1ODv78/ZrPZ7r3zGcKKBnB3d8fFxQWLxUJTUxONjY309fUxNjaGTqfDYrGQnJzMunXriImJsRNIFosFs9nM9PT0N07cfliYmpqS+66iooKLFy/y8ccfc/HiRbleAQEBJCcn4+rqik6nY3h4mOHhYcB26ba0tDA2NsbExASBgYEsWbKE4OBgwHmVV5ESMD09TU1NDYcOHeLo0aPU19fj7e2NwWBgaGiInTt3kpOTg4eHh6OH/LUgQuYzIcLQ87kgTaydkI1iHu3t7bS2tjIyMoLRaMTHx4eUlBTi4+OlAquUr84A4W0VXiuAyclJenp6GBsbo7m5mebmZqxWqzT89Xo9FosFPz8/IiIiCA8PJz4+nvDwcGD+5Worc3qVqR+urq64uLhI77pSsbtXHrDSmBGRMWDOIw6iYEnIjLa2Nj744AMuXboEQFBQEDExMXKs91snkYI2H86pcoxXr17l448/JiEhgVdeeQW493otBJjNZiYnJxkbG2NgYIDGxkbKysooKyujra2NqakpAgICUKvVtLa20tTURE1NDa6urmRlZUnldWpqyjmVV+UFvhDzk5TKa3d3N7W1tQCkpqbahQzm+7xFgRLY1nR8fJzKykrOnz9PUVER1dXVDA0NyfD6qlWr8PPzY8mSJTJPVKy/o5+F2JNCwenp6eHdd9/lX/7lXzAYDFIxiIiIYMeOHSQkJKDT6ejs7KSxsZGamhpGRkbkBTE8PMzt27dJS0tj1apVUnm1WCxOdYmKS1DMu7a2lo8++oi3336btrY2wDbms2fPUlVVRVtbG6+++irLli2THlhHr92DQBhawtgSxWgLoXBEPH9heFksFurr6zlz5gwlJSV0d3djMBgIDQ1lw4YNbN++nZycHDw9PVGpVE51kQq5IGTDyMgIV69epaamhu7ubi5evMj169fv+dmQkBDS0tJIS0tj48aNbNq0ibi4uHmxP5VQGhL3ihDMt5QspXwZGBjg8uXL3LhxA4B9+/bxX/7LfyE/Px+weSzd3NzuuWbOJDfvB3GPiDXq6OigoqKCoaEhlixZIu9CITsXApRGkUajob29nStXrlBVVSU9riJPXa1Wy//39PREo9FgNpuprKxkcHBQfqfwTH8V5kxyizwmkW/1bWgjnNWDNRMREREkJCTQ0tKyoDasyHkUaGlp4cyZM5w7d46Kigq6uroYHR21+0xfXx8DAwMYDAZ8fHzkZTtTeTCZTHOu0CqL6KampigsLOTMmTMyPSA5OZm1a9eyevVqVq5cSUhICBMTEzIvtKGhgcuXL3P16lXJQtDS0kJJSQkvvPCC3d9xJkoYi8Vid7l89tlnHDlyhI6ODvkeIWw6Ozs5evQoLS0tPPLII2zevJmUlBSnTH1Rygez2UxDQwOffvopV69exc3NjdzcXNauXcvy5cvlephMpntWxTojRN6qGKvwmBcXF1NWVkZdXR1NTU309PTIokJ3d3eqqqooLS1l//79bN26lYiICDsF1lEyVRkmNBqNFBcXc+3aNWpra+nu7mZ0dJTR0VEaGxvv+x0DAwPodDrq6+upra2lsbFRFk+qVCq5151VCXL28X0TiHtCrVYzNDTEn//8Z/7whz8wPDzM5s2befnll8nOzmZ6epru7m70ej1eXl523nIhMwMDA6VS6Kz3/8xx6fV6zGYzrq6uTExM0NbWhk6nk3UvzjqPL4Pw4gvHhcFgsIuEVFVVcfDgQerr6xkdHZX3B2D3/3q9XsreuLg4+UzgwQ2VOZPU91JIxsbGpIIgwgtCwRWeEhFO9vHxISAgAF9fX6ddcKUiYDabmZiYkAs0cyHnoyIrDA+RiN7Z2UlTUxPXr1/nxIkTFBcX26VGuLu7YzQaAZul1d3dTXd3NykpKdJrq9PpGBwcxGQyERkZKTex+FtzAZVKhdVqxWQy8dlnn3Ho0CHKy8vx9vYmKiqKFStW8NRTT7Ft2zaZywSQkZGByWRiZGSEmJgYRkdHqa6uRq/XA1BdXc1nn31GTEwMgYGBdp5qZ9jDovrcbDZz/fp1Lly4QHV1NVarlfDwcCIjI1GpVOh0Ovr6+mhra6OtrY329nY8PT1ZsmSJFFrOWoBosVgYHBzk2rVrHDx4EIDjx4/zyCOPsGfPHjZu3EhcXNy88mgpi636+/spKyvj1KlTfPLJJ9TU1Mj3iXQekac9OjpKa2srLS0tWCwWXnrpJeALxclR6ydk4dTUFNeuXeOtt97i6NGjjIyM2L1PpVIRGhqKl5cXPj4+uLu7MzY2Rk9PDwaDAbPZTF9fH319fZhMJtLS0iTzh7PKWyELxLMXXiehcOt0OsxmM97e3nh6ejIxMcHg4CBDQ0MMDg6iUqmIiYkhLCwMi8UijX83Nzd590xNTclCUjc3tzkzOJXGenl5Oe+99x51dXV4enoSGhpKS0sLb7/9NsPDw4yNjUkngngmgiPd3d2djIwMVq5cSVJSktMrsUqIdRgcHKS2tpb+/v677jhnn4NQWIVxpZQTIpo8PT3NzZs3OXfuHKWlpYyMjEg5Jbyzbm5ueHh44OXlRVhYGOHh4URERLBq1Sri4+Pldz6oA8FhboaWlhauXbtGc3MzYFP2enp6GBoaktVpfX19WCwWgoODycvL44knnmDTpk3SOgPnydeCL5RXs9lMdXU1586d4+rVqwB4eHjYucPno4WtVChv377Nr3/9a65evcr4+LgUskoIxRVgYmKCjo4Oent7SUlJAWzW18WLFzl48CCDg4NotVr27dsH2BK9Z7upgziQrq6ujI2Ncfr0af7whz9w4cIFpqamSE5OJi8vj7Vr15KVlWWnuAq4ubkRFhbGxo0baWlpwWQyUVFRAcDIyAjvv/8+/v7+PP/887i6ut7lNXMErFYrU1NT8hIoKiriV7/6FdeuXZNrlpeXh1arJSwsjMLCQg4dOiRDtj09PZSXl7Np0yaZW+hMyqtSJqjVaiIjI1m7di1dXV3cuHGDgYEBDh06RElJCY888ggHDhxg69atdtERZ5IrAjMv656eHo4fP867775LcXEx4+PjAISFhREfH4+Pjw9jY2NUVlai1+ull/X69esUFxfz9NNP4+npOaeGohLi76rVanQ6HVeuXOHdd9/l1KlTdymuAOHh4eTl5ZGens7SpUsJCQnh9OnT/P73v5eVzNPT0xiNRpmPPjExgbe3t9OupzLqo9Pp6OjowGg0olarGR4e5ubNm/T29pKTk0NsbCylpaVcv36d/v5++vv7sVgsZGZmykKg8fFxNBqNVAxcXFwYGhqiu7sbk8lEamoqjzzyyJzMTxjrvb29XL16lYaGBsDmyLp27RrFxcVMTU1hMBgwGo1yf4uInHhNo9GwevVqjEYjERERUm45I+2kcg46nY6JiQlUKhV6vZ7Ozk67fe2oc/dNYLVapSEyPT3NyMgIU1NTkoWmtLSUf/7nf+bcuXMYjUY7xxXYakXCwsJISEhg2bJlrFixgpSUFIKDg/Hx8bHzvDqF8ioW0mq10t7eTm9vL1NTU/T29nLr1i1u3rxJf38/rq6umM1mBgYGGBoaYnJy0q6gqb6+nurqall0kJSUNJvD/kZQXixWq5WxsTHa29vR6XSAzfrt6Ohg2bJl8677kjJX0Gg08tlnn/HnP/+ZI0eOyGIlgZCQEDw9PfHz8yMyMhK9Xk91dbX07nh5eWE0GmlsbOTy5ctcvHiRo0ePYjAYSEhIID8/n6ioqDnrRiKKIQYHB7lw4QKnT5/GarWyadMmtm3bRm5uLgkJCQQFBQH2RYYWiwV3d3dUKhVhYWGkpKTI9wl0dXXR1dUllSIl962zoKKighMnTjAxMQHA6tWrefrpp3nsscfk3Nzd3YmKiuLWrVv09fVx8+ZNqqqqyMjIAJxT2QObIIyNjWXv3r2kpaVRXV1NTU0NFRUV3Llzh4MHD9Le3k5nZyfbt29nyZIlgPNeLBaLBb1eT3t7O5cuXeKtt96SBnJubi7bt28nJSUFf39/1Go1IyMjfPbZZ1y8eJHW1lamp6eJiooiNjZWGtOO8v4oC3kmJiY4ceIER48eZXh4mMDAQOLi4oiOjsbNzQ13d3eio6PJy8sjLS2N4OBg2tvbMRgMdjl1QkYJD6zRaMTb29spi7Zm5oOKegGdTodarWZwcJBbt27R29tLUlISwcHBVFdX09/fD3yRQ3j79u27vjskJISYmBg0Gg09PT20tbXh7e3Nnj17yMrKmtV5TU1NyaiOXq+nqKiIy5cvS8VtfHxcGlpgK9qKiIiQ85mensbDw0NGDvz8/MjJySEyMtJOsXE2maPUAaanpxkbG2NoaIipqSnpRZ7p4HFWKAvmRbQVbGtXUlJCSUkJRqOR9evXk5OTw9WrVzl9+rTM61Wr1QQFBREXFyep0JYsWUJcXBypqamkp6ff0xn0dTCryqtQXFtbWzl16hSXL19mYGCA3t5empubpZUo3gdfVM/CF5WRZrOZ0dFRrl27Rl5eHgEBAbIIxlkuGWFtTU9P4+7uzpIlS+xyynQ6Hbdu3SIxMZGMjAy5GZxl/F8FITTq6+v59a9/zaFDhwCbR1mkfkRERJCfn09ycjJxcXEsW7aMiYkJzp49S19fHxkZGbi5uXHz5k3effddPvnkE1lQAjZF786dO/j7+8vQ1mw/HyFsJiYmGB4exmq14uHhwdq1a3nppZdITEyULBJwd/qLkhZtdHTUztoEW7qEsjrfGYpkRM751NQUFRUV1NbWSsU1MTGRH/7wh+zfv1+mFCQkJPDDH/6QmJgY+vv7aWtr486dO5w7d06us9Iqd7ZLRaPREBsbS2xsLFu3bsVgMFBVVcWhQ4f4/e9/z6effkpnZyf+/v7S86/0TDsayupyV1dXmpqa+Oijjzhy5Ah37tzB09OT9evX8/TTT7N3715iYmLkZ6xWK6tXryY0NJSDBw/i6urKSy+9xL59++QZc5THXHmuRYHH8PAw4eHh5ObmsmbNGrZs2UJUVBRWqxVPT0/JVjI0NCTzW0VqWVxcHKGhoVRWVtLf309NTQ29vb0EBQU5nYxVRioGBgb45JNPeOuttygsLJQMGEpDuaqqSsoNDw8PkpOTSUlJwWKxcPPmTTo7O4EveJoFj6YSvr6+BAQEzPq+FnNTqVSSKunmzZt2aXMRERGS/SIlJYXY2Fjc3NwwmUxYLBZ8fHwIDAyU/4WEhODn52cnW5wl0nM/iDC5WJP7cS87I2bSlJlMJgYHB7l+/TqHDh3i448/Znx8nJ07d7J//34MBgNZWVmyQCskJIStW7eyZ88eli1bJtdPpBk8jDtiVpRX5cHs7u7m3LlzHD9+XIY7lJf3vSwRDw8PSV8jDq/ZbKaqqoqzZ8+Snp4ulVdnumSmp6cxm824u7uTmJhIeHi4zA8dHR2lsLBQKq/g/F2LxLMXikl/fz9nzpzh2rVr8j0ajYbIyEhSU1NZtWoVa9asITY2Fn9/fwICArBYLMTHxzM4OIjZbObGjRtcuXKFS5cuyZQRgMDAQLKysu5iZZjtZyP2opeXl9xTJpMJlUolqTsERc1MKA9gX18f9fX19PT0yN8ZjUbGxsbsFFpHK67KYrvKykreeustjh8/jlqtJiEhgQMHDvDoo48SHBwsc+6CgoLw9PQkLS1N5sHq9XpOnz5NaGgo0dHRREREyO93pvMoPDkiPC28//n5+Xh5eTE+Ps6vfvUrqquraWhokLLL0eukhDCeRBi2qamJo0ePUlpaSlRUFK+88gq7d+8mOTnZbs+C7YLPzs7mpZdeIj4+HqPRyIoVK+x4NQULxlwZHSIKI/bJmTNn+P3vf091dTUeHh6kp6fzxBNPsGPHDpKTk+85Ll9fX7kfp6amcHd3Z926dWzZsoVr167xl7/8hYqKCoqKiggNDSUkJET+bWdSeqxWK8XFxbz11ltcuHAB+CIVKSIigsjISKKiomREy83NDT8/P/m61WqlpaWFzs5O6aU0Go3U1dVRU1MjI1pZWVnExsYSGRlpt/azAeXZGRkZoaqqir6+PkJCQti9e7fcfwEBAQQFBREaGoqvr6+d51Wj0dzXM+esDh/lGXJxcSExMVF6GPv6+mSUbz7BarXS1NTE1atXuX79OtXV1dTX18uIcl1dHUajka1bt5Kamsq1a9fo7e0lKiqK9evXk5eXd1c0Er4o4BeFX9+k+9+sKK9Knq7Ozk7Onj3LuXPnMBgMuLi4yDCOxWKRHVREX/iQkBACAwOltWKxWOjq6qKurg6dTsf4+LjTFj4pW6KBLc/D29sbk8nExMQElZWVNDY2ygteyb/nrBDPd2Jigk8++YQjR45Ii97b25uUlBTWr1/Pxo0bWbVqFXFxcXafValUBAQE0N7ezqlTpzh27Bg3btygt7dXfoefnx/r169nz549JCcnAzbFby67OIWEhLBy5UoeffRRhoeH8ff3x2g0ypzAL8P09DTt7e1UVFTQ29srvavu7u6Eh4cTHBwsD6ajvZLK89LU1MSJEydoaWnB09OTZ555hhdeeIGYmBjApvj4+fnJ9/v4+LB69Wo6Ozu5evUqTU1NlJeXywI1eHCak9nC/cJdAiKEp1KpSE9P56WXXqK+vp5r167JgrSEhASnKq5TXord3d3cvHlTdu1bt24dr7/+ujw3BoPBrqAFbOuYk5NDdnY2er1ePgNlNfhcQtwPopjsxIkTMpITGhqKn58fmZmZMjd+cnISNzc3SaVlMBjw9vZm3bp11NbWcubMGUZGRvDw8GDHjh2kpKRw69Ytrl+/ztWrV1m7dq1UXh+UQ3K2IRQZo9FIW1sbN2/eBGyOm127drF69WoSEhIIDQ0lNjZWru+9sG7durt+J1J7JicnyczMlA6TuYBSZnd0dEj2khUrVvDTn/6UlStXPtD3iBSrmRy1zqi4wheyXdRrREREkJOTg7e3t3zdWccuoGQSmJqaoqqqiuPHj/Pxxx9z+/Zt6YhxcXHBy8uLpUuXkpubS15eHnl5eaxYsYLR0VGCgoIICwsD7HmGlUVf3/YczrrUEt4bERrOyMggOjoak8mEWq0mJiaGhIQEIiIi8Pb2Jjg4mNDQUKanp3Fzc8NsNnPo0CHefPNN/Pz8WLVqFdHR0fL7nUEQCcys2I2KiiI3N5ebN28yNjYm/5uYmJA5nY6+GO8HpYeiq6uLEydO8P7778uinqioKLZt28bu3bvJz88nLCzMTtGBLw5zW1sb77//Ph988AG1tbWMj4/L8PymTZvYvXs369ats8vFmoucV2WBjo+PD9u2bSMxMZHx8XGWLFliF+7/Mu5Bg8FAR0cH9fX1dt23QkJCeOGFF9izZ4/8vKO9ekKZ0+v19PT0yPy5qKgosrOziY+Pl+kCQrERRmRUVBRPPfUUY2NjVFVVMTo6epfy42hjUkQ/gHu2ElWr1UxMTGC1WgkMDGTlypWsXbuWhoYG2tvbaW5uJjo62i6tx5EyRuQPgq1bz3vvvcfx48cxGo1ERkaydOlSoqKi5PvF5XM/4noR1RCKenJysvSaK//WbEJ5rkdGRqQhC7YzZTab73JQiMtvpiGZn5/Pzp07ee+997h8+TK1tbV4e3vj7u6OwWBgeHjYzrhy9P4UEPMQzABClgQGBrJ161b2799PcHCwHQ3R10FYWBhbtmxhamrKrhhmNiEMPZEKODk5SWNjozQsMjMzZU45PJjHX6zX/fa0M0JpwAcHB0s5NNMZ46x3v3C21dXV8dFHH/Hxxx/T1NRkdya9vLxYtWoVe/futbu3IyMjZfRHQCmTlJ7pb4tZkVRKYR8REcHu3btlrk12djYRERHSsxYfH09iYiKhoaH3vGwE3ZTZbCYwMJCkpCQCAgLu+bccjZmFWHFxcWzcuJG+vj4qKyuZmJhAr9czPj5OYGCg/IwzQvDTATQ0NPDBBx/w2WefScsrOTmZF198kZ07d8rPiCp2IZDGxsa4c+cOx48fv4vGJz4+nrVr1/L444+zY8cO6RmZa75N5WGKjo62M4wE7nfQRMGJp6cn7u7udkUIYFOI161bJy3QyclJvLy8HLLmSlqWwcFBLl68yNmzZ2V+0saNG4mPj5f7d6aQFdWmiYmJ5ObmEhkZyejoqEwhEHC0Z0HZPGNqaorBwUFpLHl5eREeHo6/v798v0ajkQqvh4cH3t7eDp+DEsqK6vLycg4ePEhpaSne3t7s2LGD1atX2xUDiuYDSpjNZplzJ9gwjh07Rk9PD7t27WLv3r33lL2zBZEPCTA0NGQ3Xnd3d8LCwuxSTzw9PeWaiAYTYFNokpOTee211+js7KSmpobf/va3BAcH09bWZmeAOBvE8x4bG5MGpJubG3v37mXDhg0y+iEMR2WTDeF9FM9E0EvO/H4Rdrdarej1eukQms1iYaWCMjAwQEdHh5QPgqotJCQEd3d3u7bZYm7CKyc8dM50Fr8JVCoVJpMJsKXdKRXAuU7X+SoIh4Wnpyd37tzhT3/6E0ePHpXGpYeHB66uroSHh7N27VoeeeQR1q5dK5kFhPHr7u5u58GdLR1tVjQEpeIRGxvLa6+9xgsvvCDznIQ3Ryh798t3MBgMHD58mGPHjmEwGPDy8mJiYgKDwSAPpjOE9QRmelKXLFlCTk4Oly9flr8TuR7i/c5oTc5MZxgfH6elpUUaEtHR0WzcuNEu/KOkvRE9rD/++GP+8pe/cPv2bVkQBLZ8tWeeeYbXX3+d+Ph4u4tTWO3zAcpx3s+LrhRWzjAvs9lMWVkZf/rTnzh27BgAjz32GE888QQZGRn3tIxnnrGwsDDS0tJoaWmR3L2pqal3fc6RGB0dpbS0lBs3btDc3IzRaCQ8PJzly5eTlZVFVFQUPj4+9PX10dLSglqtZvny5eTl5cmQmTO0oxaytLe3l7KyMtmxLyoqih07drBu3Tq8vLzuahyihJLmpri4mP/1v/4Xn3zyCQEBAZLBJTMz067pwWzvVfH9gstbICoqio0bN9qFyYWcVI5J1At4enqyfft2RkZG+NOf/sSZM2ckbZ+np+ddqVyOPoPKiJYothJpD4899hg//elPWbp0qZSnIjo0U+mcSQc38x5RnkMXFxcZRZpLZUmwBnh7e9Pb28uZM2eIi4sjPDzcjjFIGU53JmXuYUB41sFWY9DV1cXy5csB5zOqxHimp6e5desWhw8fZmhoCDc3N9zc3KTTbefOnfz4xz8mPT3d7r5QKqpzcQ/MOlWWq6srvr6+Xxm6EG5l8bD8/Pwwm82cP3+e0tJSAMnxpjyozrjRheAJCAggKipK5rwAkgIEnCeE9SAQG1vkmq1evVoKREFXI7w+/f39XL58mcOHD8siBE9PTwIDAwkKCmLz5s08/fTTMg9rampKXr5zrfyI/vbCw6HsOiWUl5kXgSACF+t46dIlzp07Jy1sAR8fH4dz+4pLX0lqX1NTI5UgsOUZLl++nMDAwLv6poM9pY94f2pqKpcuXZI0U8rLdq4h1m5qaor+/n5KSkq4dOkS5eXltLW1MTg4KMOv4eHhpKamyuJA0XwhNjaWrKwsedHMVQj9flAqz2NjY5w5c4ZPP/1U8rUuW7aMjIwMu3w6JaxWK5OTk2g0GrlPL168yG9/+1vOnj0L2EL24+Pj6PX6OS1kUobMg4OD7byskZGR5OXlsWTJknvuRQHlWNVqNZs3b6a9vZ07d+5IQ9nDw0M2vnEWCAYBV1dXqqqqOHr0KBcvXgQgJyeHpUuXAracf6H4fNP0srnwfikhxij2UlRUFPn5+aSlpdHU1ERHRwdvv/02fX19kvorOTmZrKwsu2iIMGicpfDz60L5rH19fcnIyKCmpoaOjg6uXbtGfn4+ERERTuOoEeslPKaXL1/mzJkzDA0NAUhjHpAUmEFBQfc17sV9OtvsCrNOlQVfKKb3suiVhSwqlQofHx+pFClDKoBMG/Dz83NqMnFlgrmXl5fdJTgf28QqFThRhR8TEyO932K9pqen6ejo4OLFixw7dow7d+7I75ienmbJkiXs37+fp556SnrqAIf2mP8mf1vJENHf3897773HRx99xMTEhKQO8/HxISMj456VlnOJmedENP9QCp2AgACZxiLSPr7smQQGBhIeHo6bmxs6nY6hoSH0er1dyH0uIyIiT7K7u5uLFy/y1ltvcfnyZdRqNeHh4URFReHq6srk5CT19fWUlZXxySefEB0djY+PDy4uLqxdu5aEhIQ5Ge+DYCZ5/Y0bN2RRz6pVq9i0aZMMLcPdhrBInxDeuqamJn7zm9/w0UcfyRCtm5sbQUFBREZGSqfAXOThK5XX8PDwu4o8lR7GryKiN5vNshHFpk2buHDhAt3d3YAtdK7MJxXf7wiIZysUssHBQUpKSqRxHx8fT0JCAiaTSUYnv+06OCoKIsLharWalStXsnv3bnp6eqiurqapqYk333xTjm/nzp0888wzrFu3jpiYGLy8vOYVB/q9oHzu/v7+LF26lKKiIvr7+7lx4wa3b99m06ZN0vB0NHuCMq9fMNAUFhZK5VO0PBcpcvX19bz//vuStzUtLY2goCB5rufqLp/1vyLaboqcCOEFUgpK4bHx8vKSilBtbS0fffQR7e3t8rtcXV1JTExErVZLr4IzbvSZQkepKAwNDTE2NkZUVJRTKt4CyrEp8wj1ej2NjY10d3ezbNkyu89MT09TWFjIX/7yF+7cuSPzmoVXde3atezevZusrCxZFATM+RqK9sPfNCysTHMoKyujurpaentMJhPu7u7k5uayfv16mcsLjsvPViqSk5OT9Pf3y84vubm5LFu27GuHFV1dXdFoNIyPjzMwMMDIyIhD80XHx8cpLy+nqKiI0dFR1q1bx6pVq1i2bJmkQJucnKShoYFLly5x9uxZGhoa8PDwICkpSeYtOyPEegjPfmhoKPHx8dJbpeQhhi9CeOJcifw1wfgiDCyTyURQUJBUgsXenW0ojWGNRsPKlSvZtGkTly9fprm5mcrKSlJSUvD09GRqakoWuAruU2E8uri4oNfrcXd3x93dnfT0dElkr9Fo8Pf3t6PdcySUCjvA8PAw5eXldHZ24uPjw65du8jKypINemaup7Ok4zwIlIq3t7c3Tz75JAkJCZSXl1NSUsKnn34qiyZPnjxJY2MjqampLF++nB07drBhwwb5XV+WDjMf4Orqio+PDz4+PlLuiu5UAo42qMTzHRgYoKioiKtXrzI0NIS/vz9ubm6MjY3JrmfDw8MUFhZy69YtfHx8ZJH90qVLWbdunaSvE/vVZDJJ5p2HjVlXXkW+jbJy+34QG7W3t5cPP/yQ3/zmN7S1teHi4kJGRgZbt26VHqL5tKGVm1On09kJJmf1wirHpdfrZecMV1dXKioqOHr0KIGBgeTk5ODl5YXVaqWoqIgPPviAoqKiu3Jcd+zYwWOPPUZaWpoUbI5YQ3HxKVsX9vf3YzQaZahDFBMIwePn5yfb/opxC/470W5UzEUUVsTFxZGVlWXHwOCotAGlp7i3t5eKigra2tqIiIhg586drFixQo7/QRRsk8kklX+j0UhTUxPt7e0sWbJE5ifOdpW+Mqw/NDTE2bNn+eyzz5ienmbfvn2sXr2aNWvWSHkhMD09TUJCAi0tLdTV1WEwGOjs7KS4uFh24oqPj5etRp2Bh1lJTm8wGOjq6qKyspL09HSSk5PtchrF+0Vr1NraWt566y2OHDnC2NgYnp6ech+Lxg0z/85sQ1mwZbVaycrKYsuWLVRXV9Pa2sq1a9dIT09n2bJlMt9O+VklhOccbIWl3d3dMhWooaGBoKAgO1nkqLVU1jeMjIxQXFzM9evXMRqNbNu2jVdffZU1a9Y4ZGwPG8pCMldXV2JiYoiJiWH9+vWsWLGCZcuWycYKg4OD1NXVUVdXx6VLl+jq6sJisbBy5Uq7Qr35hHtFl8Xvvimn6VzAYDAwMTEhz8vo6Kjd6yaT6a6iZIFLly5RW1vL0qVLiY+PJyMjg5SUFDul9WFH45yqMXBzczOdnZ20trZSXFxMS0sLYMsF+uu//msef/xx+V5hhTsjlIukzI0Em1U6k4fR2aG8HK1WKz09PRw8eJDGxkZ+8IMfsHnzZsrKyvjDH/7AhQsXmJyclJ/18/PjBz/4AS+//LL0poDjCu2UStXIyAjvv/8+J06ckD3Fvb29iYqKwtPTEy8vL7KyssjNzcXT01POS3iEGhsbuXPnjqwiFQqgaHgQEBBwz25cjsLIyAgVFRXcuHEDsBUU5ubmSs/bg66J8CK5ublhMBior6+nvb2dlStXSiqw2d7byu+/cuUKb775JiaTie9///vs3r2biIiI+7KXKDuheXh4YLFYKCoqoqGhgcbGRn74wx+SnZ3tNPQ8VqsVq9WKt7c34+Pj3L59G71ej9Vq5bHHHpMMGcLw6unp4eLFi7JeoKamRs5XVH7Hx8fz/PPPyxxL8fm5gFJxdXFxITg4mNjYWIKCgqirq6OkpITQ0FCmpqa+khN0enqa1tZWSkpKOHny5F2tUm/dukV5eTmPPPIIGo3GIXmUyrBwf38/p0+f5t1335XdiETLzIWGmfspMDCQDRs2kJeXh8lkoq+vj+vXr3Pq1CkuXbrE0NAQ77//PrW1tTz99NM8/fTTcm87W3OJB4WS1xSc685XFk2KQuz8/HxSUlLsIt4Pgr6+Pj7++GPOnj1LQEAAy5cv58UXX+Sxxx4DvmgY8zAdVnPC8zo0NERraysdHR0yLOLi4iI3pJubG0NDQzKpeWBgwK77kshnKywsJCAggJCQEJYsWWLn1XIm1gElQkJCSEpKkl6TgYEBGhsbiY2Nld4dZ4MyNwsgPT2dp59+mj/+8Y+ScBqQVEt37tyhpqaGCxcuMDIygru7O35+fkRERLB161Zee+01eUk6KldZKCJGo1GGzkVR2aVLl+zeKy5AtVpNVlYWZWVlaDQadDqdfDZWq5XBwUHa2toYHx9nenoak8lEaGgoW7duZcOGDYSFhd1V+DTXcxZCU6fTceXKFYqLi6VlnZSURHp6ugw/f1V+oYA4s+K7jUajXae82dzTSpaS6elpysrKePfddykqKmLVqlV2jTJMJpNU8tzd3RkdHeXKlSt89NFHtLa2EhcXx+7du3F1deX06dM0NDTwu9/9DpPJxI9+9CNyc3Pl98x1a0flOvj7+7Nx40aam5s5fvw4ANXV1Rw/fpz+/n4iIyMxGo3SyNTpdBQXF3PmzBmsVitubm6kpKQwPDwsG4wkJyezcuVKyfEKc5/WIu4Bf39/EhMTWbJkCbW1tVy9elV6mKuqqmQo0t3dXUY2fHx8cHd3l1yUJ0+epLKyErPZzNKlS8nJyUGv19PR0cHp06exWCzs3bvXLvIzV8q6yAEFG1fv+fPnKSkpkdGDjo4ODh8+TEBAAH19fZIpwdPTk9jYWFJSUmS3xvkAZeGraDYkZJGXl5dM5YiKiiI+Pp7c3Fx27NjBkSNHOHPmDIWFhZjNZmJiYiQjxnxSXJXyz2QyMTQ0JL2YKpXKru2vsyE3N5cXX3yR2NhYxsbGJM2a8MqazWaMRiM6nU7uVZFXLnjse3t76ezsZGJigv7+fh555BHi4uKkzAYnbg+rhMlkoqmpiYMHD/Lxxx/LZHqwVziFciG8DOKSmp6epqamhn/8x39kyZIlZGZmsmzZMpYtW0Z6ejrx8fEEBAQ4peIKNuU1Ly+P1atXy5ao169fJzU1laSkJLmZnY0iRHSzEVyKP/nJT2htbeXtt98GkOHHCxcucOXKFam8AbL95nPPPcf27dvtiKkdocCJv6tSqejt7aWwsJDCwkKuXbtGfX39fT87NTVFeXm57GY0UykTl49SqdmwYQNvvPEGa9as+Ubk4g8TSmW0s7NTehfBtr5hYWF2XtcHVV7FdwulLj4+noiICLviy9mCsqBsampKdu8LCAiQQlKMT6VSScV8dHSUmzdvcujQIS5fvkxAQADPPfccWq1WGimHDh3i4sWL/OpXv8LV1ZW/+7u/Izo62iGhS3FZm81m/Pz8ePrpp9HpdFRVVdHc3IxKpeLGjRtcu3YNV1fXu5QF8ZxiYmLIzMzEw8OD27dvS+XV09MTPz8/O+/0XJ9N5QWemprKmjVraG5upqWlhdu3b1NVVcXBgwfJzc1l69athIeHMzo6il6vJyQkBI1Gw2effca7776LwWBAo9GQl5fHgQMHePXVVwkJCeHQoUP8p//0n/inf/onrFYrERERhISE2JHfz1WBGtg8r01NTbKS22KxcOrUKT799NO7ukkJD9aePXvYu3evLCj8MhYGZ8BMhpb7KZ7T09P4+vpKozM4OJjR0VFKSkqora3l+PHjREZGsnbtWgC7Pe7MUK73xMQEDQ0N9PX1AbZ6CWeJ6AgojSI/Pz+eeeYZduzYwfj4OAaDgfHxcYaGhhgcHESn0zE2NkZdXR1FRUW0trbKIkMlpZ3RaOSTTz6huroas9nMj370I8Amzx4Wj/usK6/T09OMj4/T3Nxs5019EAjqBpFj19raSmtrK9XV1Vy5coXk5GT27dvH3r17cXV1tbPwHAmlYFGr1SQlJZGZmSkvj46ODrvcEUdXG94PykMWFRXF/v376ezspKysTFYgTk1NyZCkQHh4OJs3b2bLli0y7DPXzQeUcxDNBMBWvPLmm29SVVUlKb4E16W/vz96vV4WgVgsFqqrq+1I+GdCeBx9fHxYvnw5jz32GKtXr3a44gr2QlR4AGbORcnt+aACVafT0dPTw9DQEL6+vixdulTmXsLsMmoox2m1Wunq6pJtQR9//HEZjdHpdHZFS/X19bz99tscOnQIPz8/vv/97/P973+f+Ph4AJ577jmSk5MJCgriww8/5K233iI8PJwf/vCHREREMD09LYud5hLK9KNdu3ah1+v5+OOPKSkpkXnoSq+3Eps3b+bZZ5/FZDJx6dIlu+5vfn5+REdH4+3tbacwzSVm0q8JFpJbt25x9OhR2traMBqNXLhwgc7OTmkwi4idTqejra0NgJiYGLZv386WLVvsCiW3b9/OiRMnOHfuHE1NTXR3dxMSEjJnudkz0dPTQ2trq+TeFd3ElAU8Hh4eWK1WxsfHKSoqYnh4mCVLlkjlVYR5nU15nekouN97TCaTdIwoz9Pjjz+ORqPhrbfe4tSpUxw/fpyUlBSWLVsm6yqc8Z6cCaXc1ev1tLa2yn8Lon9nhDhX/v7+dtRlFosFvV6PTqeTa9fR0UFSUhJXrlyhp6eHzs5OhoeHAVuNi8ViYWJigvb2dvl7eLid0mZFk1DmpwwNDVFZWWm3gD4+PkxNTUm+TOF1VJLkih7WKpUKb29v3NzcZAK4oJgYHh5meHjYzop2BotGeXgFX52fnx9ubm5SeR0ZGZHvvx+NmKOhvFysVivr169Ho9Fw/Phxzp07Jy8Od3d32XZTfG6mkupIYSsE3sTEBJcvX+batWsAMjUiOjqazZs3Ex0dLbsRCeqPoqIiTp06xfDwsLSald4/oRAEBQWxfv161qxZIzmNnclTMDk5yfDwsFR4goKC8PPzs+s5/WUXztTUlHxew8PD1NbWMjIyQlxcHDExMZISTNnJazag/G5RyNna2kpwcLC06sFG/yUUgtbWVt5//30+/vhjAOlxTU5OlsZ1cHAwO3bswM3NDYvFwtGjR/nf//t/4+HhwWuvvUZISIhMF5lLr5eIgFitVqKiovjhD38oORYrKysZHBzE1dWVnJwcEhISGB0dpaamBn9/f1599VX27dvHJ598QkNDg53MCQ4OJjExEfjCmz3X+1T59zQaDfn5+eTn57Nt2zb8/f155513pKe4vr7eTikQ7DSJiYlkZmayYcMGtmzZIpkzjEYj7u7u+Pj48MMf/pCYmBj6+vq4ffs2cXFxdnt/tiDOgru7O5OTkxQWFnLs2DFZy6FSqQgNDcVkMuHp6UlGRgZ5eXl4eXlhsVjo7e3lxIkT3Lhxw+7+FMWSzgYlK4bgDhadvpRUizNz0fV6PWq1Gk9PT/bv38/ExATV1dXU1tZy5swZVq9ezYYNG+ZN2oQSU1NTdo4qEbFyxrQBobMJJ6CQc0rGBIHExEQiIiLIzc2lpaVFcp2Pj48zPj4u10rksgs8TNk5KydAKJlgC1devHhRcn5qNBp8fHxQqVTSewe2B2YwGHBxcbGrfA4MDJRhSdHwYOnSpaSmpuLt7U14eLjT9I2/F4R1ryQLr6ystEufcMaNrITYzEFBQWzZsoWIiAg8PDx455136Ovru0tZaWtr4+zZs6SmpkrPljBo5lKBVeZUDw4OcuLECa5fvy5fd3NzIyMjgz179vDkk08SGxsr6dy8vb3R6/XExMTg7u7O2bNn6ezstMt5VUIQ+TsTsbbyLPT29lJbW8vQ0BA+Pj6SRkrsSSGk7oWZntS+vj7Z5EDksCn5XWcTM2mWtm3bJtd2YmKC4OBgsrOzAdslX1xczIcffshHH32Ep6cnr7zyCj/+8Y9lByeREyqwfv16yTTx4Ycf8rOf/QyVSsWPf/xjfHx8pKdMFB7OBZQC38PDg0cffZSIiAhqampob29HpVJJ77fJZKK7uxs/Pz+2bNmCRqNhaGiI7u5uaWj5+fnZteN2tMycabjHxMTwxhtvsHTpUq5cuUJFRQUDAwPSwWE0GomPj2fHjh1kZ2fj5+dHeHg4MTExUqlTqVSMj4/j4+PDhg0bUKvV0qMHsGPHDtmDfbY8ekajUe6Trq4ufvnLX/LJJ5/I8SUmJvLoo4+Sl5dHSEgIISEhREZGymLk8vJyGhoaGBoacgpqpS+D0mF1584dzp8/j8FgYPny5axfv14qMPcqvJopX9asWcP27dtpbGzk2rVrfPLJJ8TExMgzO5/ps8xmMwaDwWmLzQWUDsH7OSNiYmKIjIzEbDYTHR2NwWDgypUrklFJUFHO1p0/K8qrcrAi6Tw/Px8XFxfi4uIICAhArVbj6+uL1WqltLSUO3fuMDk5KXnB1q1bx5o1awgJCcHPz4+QkBDZpSk9Pd2uWAtm3+PzdaC8yF1cXIiKiiIpKUl6jHt7e+/qceyMAklAzEd0KVqxYgXl5eW89957gI1iw93dXT77sbExSkpKCAoKQqVSsWHDBgICAuR3zJWHR2lE9ff3c/XqVTo7O2W4Li4ujp/85CccOHDArgNcb28vjY2NNDQ00NLSgtFotAuvi25OyjUzGAy0t7dTU1NDUFAQgYGBTuFxFRCXPtiU9qysLDIyMuwugXspr2K+IpdS0IP19PQANg9uSEiILMKY7TCskj/Qzc2NxMRE8vPz+fjjjzlx4gS+vr48//zz+Pv7c+3aNf7whz9w6dIlwsLCeO2113j99delciu+Q+SMms1mPDw82LBhg/z3sWPH+MUvfsGSJUt44YUX0Gg0suPMXHkrxd8RHtiQkBAeeeQR8vLypBEcERFxl/dbYGxsTKaLBAQEkJ+fT3p6unx9ro3KmVCyDxiNRtzc3IiNjSUmJob4+HiqqqqkJ1V49RITE9m5c+ddSozwjM9sThAXFyfzficnJ4mNjZXK61x19xM0SaGhoeTn57NhwwYeffRRli5des+/bTQaiYqKws3Njc7OTvR6PZ6eng7pRPhVEOPp6uri0qVLHDlyhJCQEFJSUuz21r3uOWFETU5O4unpSXJyMqtWreL999+nr6+Pvr4+u3QnZ3f2KDHTKRAWFkZ8fLxd101nWUuxNveSayI6LO4DoZwK40w0KhCfFVHJ4eFhdDrdXX/jYWBWlFelQElJSZE0V1arldjYWHx9fWXBiE6n4xe/+AWNjY2yIi8yMpLvfe97vP7667i6ujI0NISnp6f0kNwrZOIsG0AJvV6Pl5cXgYGB5Obmygv+y/pUOyOEZ0Q8Y5G3Jaijli5dir+/P+3t7bS3t0ti8YMHD9Le3o6vry+bN28GsMs/nUuIqkmRPw2QkJDArl27pOLa29tLXV0dt27d4tKlS1y/fp3h4WFcXV0xm83SAybSAZQwGo00Nzdz6dIlTCYTa9eunXXPztdBaGgoCQkJ1NTUyHykme1s77UPlfQm7e3tfPjhh5w9e1amHwhhLGCxWObEK6Ic67Jly3juuef49a9/zW9/+1uqqqpISkri+vXrMkVk//79/NVf/RVJSUkyGqL0uIpKfeEZEvt1eHiYoqIi/vVf/xVfX18ee+wxXFxcpPE5l+s681IJDAyUuWnK3wsPpfidyKEEm/Kak5Njt2aO3psCIqSsLPzLy8sjKytL/ltcoPdrUKOci7IAUa1W4+Pjw/DwMHfu3LFjTfk6hYpfBzPb3v7N3/wNubm5TExMyDQHZW7hTIjIpMFgoLW1lbq6Osl96yx3hjKiptfrKSsr4+bNmxiNRvLz89m8eTOBgYHyDvmy56yUq7GxsYSGhjI8PHzXfJ1l7g+CmWHy+Ph4li5dire3t3SuOMt8vmwcM+ehbDk8Pj5OSUkJNTU1jI6O2vHYzmZr4lnzvAohIyyp5OTke17igiNyZGQEk8lEQkICzz33HLt27ZIbXXTIEbBYLNKL5KxdtgC70EBAQICd16itrY2BgQGZS+csF8i9oPSmDQ4Ocvr0aY4dO8bo6CgbN27kjTfeICYmhqKiIg4fPkxtba0MUd6+fdsuX2su56m08kRXLWVxWVdXF0ePHiUpKYnu7m7q6upobW2lvr6e2traexZqie8UObzCI6nX66mtrZUcoikpKXaeHUd0b1IKGy8vL8LCwggJCZFUSjk5OWRnZ8tmA1NTU7KAR3iWld8xNDTEzZs3qaqqYnp6mpCQEElnM9cQZ356eprQ0FCeffZZWltb+dnPfsapU6eIjY3Fz8+P9evXs27dOp599lmSkpIA2/mbKTPEPIVX3d3dnY0bN/LjH/+Y8fFxiouL+fu//3v6+vp4/vnnpedE5B/OxQWk9FAKpUEZ5RGXoV6vZ2pqSipGM6u/nbVSXTkuYViJVqn3wtTUlDyjgktTmW8/U5FVqVSSJq+xsVF63mcrYqe8tL29vdm0aZPMS05ISJDrI5RUQemmVqsZGhqivLycuro6VCpbS+6wsDC7uTjDGirvBoPBQFtbG93d3QQEBLBy5UqioqIAG9uHj4/PlyqvSqdGSEgIOTk5NDU1UVlZSW9vr4yYKPPv5xuclfNVCWVkUayv0oAQ4x8dHeXWrVucPXuWs2fPUl9fLw1lvV6PRqNh6dKlMrdefNapc17h7qIl8f8i/ANw+vRpfvnLX1JUVCSLCbZs2cJrr71GbGysDKfP3PCCL87ZoRSegt8WbM+gurqaqqoq2UkEnJerVimguru7uXDhArdu3QJsFc0vv/wyYAvNmc1mTp8+TWlpqQwB1tXVUVtbS3Jysl2Dhtmeq/L7ReGE8ndVVVX8j//xP2Rfd8E0ILptiZCPkpTfz8+PJUuWEBISwsTEBN3d3fT09GAwGOjp6WFwcJDAwEBZaCLm6miIUI9Go8FoNHLjxg3S0tLYsWMHCQkJuLu727EFKNfJYrFIQvGmpiZ0Oh1ubm7k5+ezcuVKu4tkrgtJBM9gVFQUjz32GE1NTZSVlcmcyO3bt5OZmSmVzenpL29VOHN/Pvroo5hMJn7xi19QWlrKP/zDP+Dq6sqrr74K2Bc3zBXuFdZTqb5o86j0tOr1eoaHh6XRZrFY0Ol0do1EnFHuzFRO7nWGROrZ/TDTeEtKSiIjI4OysjJu3brF5cuXWb9+vZS/sx0hUavVkjEAvnjuQmkT1HNg29fl5eVUVVWhVqtZtmyZNIYFc4szVq0LLm2j0SjpwMC2J7/q2SqjNoInXK/Xc/v2bbsaEaEXONuefRAIvtTg4GCndVh9lbd0cnKSzs5Obt++zccff8zx48el/ubt7S0dV8uXL2f//v0sX75cflatVjs324ASgrNVeKiEVj8wMMD169e5dOmSzIlYs2YNW7ZsISUlBbApeYL6SlkV7ayL/mWYSUzszFWHM6EUEsPDw3bdN5SXR1BQEPv27SM+Pp6TJ09KmpfTp08TGhrKc889ZxdKn23hq/z+oKAgVqxYQUVFBf39/QBSKbsfhDdLhFrj4uIIDQ0lKyuL5ORk2tvbOXXqFOfOnZM5oKKhRlNTE2vXrsXDw8MpKoOF9axEeXk5ly5dIjg4GD8/v3tGMIaGhigsLOTChQsUFxdTU1MD2KpNn3zySR577DH8/f0l5+1cz1UpC1asWMHf/d3f0dPTg6+vLykpKXbhcVGM9yD7Tni3goOD2b9/P0FBQfzLv/wLRUVF/OxnP8PLy4vHH39cKh6OKiK5F+m3Urlta2ujo6NDpjmI8LnSy+XMSoC4P4QXSBnNmtm9cCbEXrRYLPj4+PDoo48yPDyMwWCgvLycM2fOkJSUZEdBNVcREnEf3C99bGhoiKamJgwGA25ubne1/3UWKM+fu7s7ERER+Pj4UFNTw/Hjx8nMzGT58uWyIc/k5ORd3jeR5jIxMSEdDH19fZSWlgK2ToDKinVnqW15EMz0kAcGBhIeHg58kZLlqLkoDQCLxUJPTw8mk4mIiIi7ClInJyfR6XSYzWZKS0s5deoUt27dkqwzYFsXwTi0du1aXn31VXbu3Cl53h92XdKs3zTKYgNxuQ0MDHD8+HE77sHc3FxeeOEFNmzYICen9K46o5X5dTCzNaGXl9dXhlGcDcILp4Sy8Mzf35/ly5eTm5uLt7c3fX19XLp0iRs3bpCTk8POnTuJjIycM35F5bMNCwtj06ZN3L59W+ZBity5mTyZwhvi6+tLREQES5cuZfPmzaSkpBAQEEBKSgpeXl50dHRQWVkpn4kQvDqdjoqKCqqrq8nOzrYLcc+loFI+3/DwcNasWUNLSwtDQ0MYjUbZ0s/V1ZVNmzYRGBgoi7MMBgOdnZ3cuXOHkydPcuTIEamg5efns3v3bnbu3GlXiOcIKAvpAgICWLdund3rIgXi6yrW4r1Go5HAwECefPJJpqenGRwcpLS0lJ///OeEh4ezadMmYO5yfWdi5n5S7rHh4WEqKirsjE03NzeCgoLsaG+cWRH4qqI4o9HI4OCgXe6lh4eHlK3CS6fRaAgPDyc0NBQPDw+Zpjab+3ZmxLG3txe1Wi0ZckSh4EyjanBwkJs3b0pKLU9Pz7uUdmdZMyW9kpeXl0xFOn/+PIcPH8bLy4sf/ehH5Ofnf2XEVBgOExMTfPrpp1y+fBnALv0A5j66820w09AICAiQ8xRyyVEQ0UUh74uKiqivryczM5PU1FS8vLxwd3dneHiY8vJyBgYGMBgM3Lp1i3PnztHf3y/Pm6urq4zmrFy5kldffZWnnnqK0NBQ+fce9p6dsydnNBrlxq2oqOCXv/wlpaWlqFQq8vPz2bdvH48//ri0gh29sLON+eBxnQmVSoWPj48d08Po6CiTk5N2QsnFxQUfHx+73+n1ejtlaq68B8J7qtFoSE1NZcWKFVy+fJm6ujo7xVuJwMBAVqxYwbp162Sv5/DwcFmZLoSPTqfDaDTK/DxB+TI6OkpHRwc9PT2kpqZKpWauCdGV1HFRUVHs27dPtsetqqpiYGCACxcuMDAwwO3bt4mPj5cX6507d7h8+bJsRiAU/M2bN/O9732Pbdu22Xk1nTUH7dtGapTrtWHDBn7wgx/wz//8z5SUlHDkyBHi4uJkJbszQFl8NDw8TH19vV0Ki0gfmXn+5lMYdnx8XBZ33b59m6NHjzI0NER4eDhLlixh6dKl5ObmyrUT5+/ixYt88MEH1NXVkZ6eTl5eHoGBgfJ7H/bZFCktAAMDAxw+fBi1Ws2+ffuIi4uTa2E0GlGpVDKKdePGDY4dOybp6DIzM2W+KzhPgZ0Swmst6L+Ki4spLi7m0KFDjI+Ps2/fPtasWWOX/3gvjI+P88477/DnP/8Zq9VKZGQk2dnZdnn188mRpeyaBtz3znEElMrr1NQUt2/f5v333yc4OFg2FwLb3d3V1cXIyAhmsxm9Xi+5a8XZslgshIeHs2LFCvbt28euXbuk4qrkjH2YmDPtULihR0ZGKCkpoaysDLARxD/11FM888wzdvlA82mD3g/KC0JU4IM9ab4oDnFmKOcRFhYmab8mJia4ceMGv/3tbwkPD5dKa29vL1euXLHLU5qcnJQX/MwDPdsQe8nNzY1NmzZhNBq5efMm7e3tjI2NyZQWo9GIr68vK1asYPPmzeTl5UluwZkwmUyYTCaio6NZtWoV169ftyOB9/X1JSgoyM4b54hLR4RcBbvHunXrqKyspKGhgbGxMUZGRigsLKS1tZUlS5YQHh6OSqWSJOECsbGxbNu2jd27d7NlyxYpmESjEUefV1EkKnhYRQ7ot01lEG1op6amCAkJYf/+/QwMDPDOO+9w8uRJIiMjef311wkODnaqcC7Y1mZsbMyus9bU1NS8NJzBJkMEG4hgAWlqauLMmTM0NjaSkZHBq6++SlRUlDScXVxc0Ov1lJeXc/LkSQoLCxkZGcHT05Pg4GA72fuwz6dSeR0bG+PUqVO0t7djMBh49tlnSUhIuCudZ2BggJs3b3L16lVGRkbIyspi//795OTkyPc4Y3ct5Rlbs2YNP/3pT4mMjOTKlSucOnWKmpoaVq9ezcaNG8nIyMDb21tGeUThnUhRevfdd2lubiYgIIAnn3ySRx55xM6D5+xOLaUc8PT0lFEOHx8fu3C8M6Q/iL8vIhNTU1Ncv35d8qEr65buBeG4SUtL46mnnmLbtm1kZGQQEREBYJfu+bAx67tAeFBVKltTgrNnz3L+/HnZE379+vXs2LFD5rkq++TOd8zsICNYE0QoU3jynB3KtQgJCWHt2rVUVVVx4cIFzp8/z9WrV7Farfj5+ZGQkMDk5CT19fV2oa7AwMA5JXZXjl0oNmDzYiQnJ1NZWUldXR2Tk5OSFHxycpLAwEDy8/PtSOzvdam5ubkRGRnJ5s2biYiIICwsjA8++ACDwUB6ejrr1q0jNTVVdmxyVKhv5tjDwsJYtmwZd+7ckR45FxcXOjo6pLExs0jS09OTvXv38vrrr5OTkyMv/Jl0U46G4Pd82GMSBWyCWP7ll19Gr9fzb//2b/z2t78lJCSEZ5555kuLhxwB0fBFuZZKxgJnh2CsUVL0nT17lr/85S/cuXMHlUpFYGAgOp2Oqakp+vr68PX1xdfXl8HBQZkve/36dc6dO8eVK1dkq0qhUMzmc1CePTc3N7y9vampqeHNN99Ep9Px1FNPsXTpUnkH9PT0cPLkSS5cuEB7eztubm5s2LCBxx9/nLi4OIe0s31QiLoUsSYvvPAC8fHxfPTRR5w7d47y8nLKysq4evUqeXl5eHh4MDk5KZXX/v5+yasNthS0nTt38tRTT7FhwwbAuToWPigmJyclrWB6erpd+oOj56FkIfH09GTHjh10d3fzu9/9Tp4TNzc3jEbjXU1ohDdVsL089dRT/O3f/i2hoaEyn3u2ebBnXXlVauytra2cOHGCM2fOALB161b27t1LamrqbA/DIVB63cLCwnjqqacoKytjbGwMq9VKSkoKHh4ekrrHWRV2pbD08vJi9erVtLe309LSQk1NjaSr6e/vZ3x8HHd3dztKqt27d/PMM8/IdANlF7W5grKwxc3Njby8POLi4iS9kKDSEo0wBJR8nsJSFusUFBSEr68vsbGxxMfHs27dOsbGxkhISGD16tXye5yFAF60vd2yZQve3t5s27aNvr4+ysvLKS0ttaMG8/HxIT8/n5iYGDIzM3nkkUfIzc21q4Z2xkt0NiAEsDDEMzMzeeaZZyguLqakpIT//t//O+7u7rz44osOHqk9RI6ht7e3zO0WTARKw9LZPMb3g6C6qqurA2zjVla0q1QqLl68SFtbm2R3UalUtLa2ym5VANnZ2WzdupWcnBy73N+HfdEqjaglS5bwk5/8BIvFwrFjx3jzzTcpLS0lISEBHx8fpqenaW1t5ebNm3J+K1euZNOmTZLizVnan38ZRNqKSqVi9erVBAUFsWrVKlnjotPpuH37Ns3NzTISqYSPjw/r169n69atrF27ltzcXPmao5W9B4VSLtbW1lJeXg7YvJOieEm8z5F3w0z6vLS0NF555RUSEhK4fv06jY2NNDY20tnZaWfkxcbGsmTJEgIDA4mIiGDZsmXs3LlTescFL/psY9aVV3HZjY2NUVZWRkVFhXwtNTWVDRs24OfnJzvWOJMn59tCzN1qtRIYGMgzzzxDW1sbp0+fJisrS7rWlQfeGaGsSHR1dSUmJoatW7fS39/P8ePHaWxslDyhgm5KID09nVdffZXHHnsM+KIqe64VH6XlKKxCZQWrEjP57e4HEZL29PQkNDT0rmKhmX/bkVB2PklPTyclJYXx8XFaW1u5cOECUVFRDA4OAjbhExERwfLly1mzZg3p6en4+/vbkd87K7fybEJJi5WXl8cLL7zA0NAQer3+S1krHIWpqSl0Oh3Dw8PyMpmYmECj0cwLtoF7VWqvWLGCp556ikuXLsncV9Fys6enh4MHD973+4KCgsjIyGDHjh3s2bOHuLg44ItOfA/7OQgZJ9rE7ty5E1dXV3Q6HUVFRbJVrBJubm4EBASwbNkynnzySfLz8+14a511rcC+uE54SdPT00lPTyc7O5vVq1fT2dnJwMAAHh4eNDQ0yG5hQnl65JFH2Lx5M7m5uZIHVyhOziBHHwTKe99qtZKdnY3VamX9+vWSaQCcbz5qtZrs7GyysrLYvHkzFy9e5OrVq9TW1tLb2wvYjLC8vDwyMzOJjo4mOTmZrKwseTeIwtW5uB9mTXmdueGampq4efOmDFVqNBqioqLsaCNEKsFCwUxBEx0dzV//9V/z9NNP2yVEO3uTAgFRAKRSqcjOzsbf358lS5bw4Ycfcvv2bbucT7AV97z22mts2bJF/s7R8xSK6ZclkCupeRw93tmCq6sr/v7+ZGVlERoayrZt2+wKz8QlKppowBfC2FkI0ucagqNQpVLh7e3Nc889R15eHuPj49I75mgoPXNms5nx8XG7cynytIXcVYb/nB1eXl5s2LCB7Oxsrl+/zoULF+TciouLaW5uvu9nw8LC0Gq17Nq1i4iICDslYrY9YEoZsmzZMl5//XVSU1Oprq6mqamJrq4uNBoN2dnZrF+/XhqXaWlpklpQYD6cO+EhVo41IyOD8PBwxsfHmZycZGhoiImJCSlLXFxcCAgIICIiguDgYDunwXwqJgT7nNyNGzcSHR2NSqUiISHBLqrnbHeLeMYqlYrMzEyCg4PZtGkT4+PjspGGiEz6+/vj6emJr6+vw1KRZtXzqhSIIyMjdHd3y+KB5ORklixZIj0AC9mTI6rQVSoVSUlJ8qITobv5Fn4V3tOEhAT27duHm5sbqamp9Pf3y0rE0NBQnn/+eR5//HE8PT1lwwJHz1XpHbjXhf2gPKBKCEYDs9mM1WpFrVY7xLv8oFByZ2o0GiIjI++6JJUQUZHZzmFydszcN1/13BwB5foEBASwfPlyjEYjlZWV6HQ6Nm3axPLly2X19mxVAs8G1Go1AQEBBAQESGaMsbExySRSWFiIWq3G398fs9ksKRpNJhMrV67ktddek95W4SWaixxKjUYjZYSXlxePPvooy5Ytkxy8/f39qNVqUlNTyc3NJSYmZl5HIFWqL9rATk1NSW9cUFDQfaNdMyE6PKnVaqeVo18FFxcXoqOj7RxVzg5B3SYKuJRG3v0gmmbMdSHdrP21mfk54+PjdHd3yw5Eq1atIi0t7S6y4oWKe81tPh5KpWACmzf5wIEDPPPMM5KCR4TcldWVzliEJzxOX1VR+SDfo4waOLsy8HUV9Pm4T2cbzrq+yrWKjIzkqaeeYu/evZhMJqanpyV/scB8MkZmjnXt2rXS27NmzRp+8pOf3LW3xT10r3nPpUdPyAi1Wo23tzehoaGkp6dL5Q5sMtLZmWe+LkRR0NfdZ2INnfWcLVSIlLCvs16OSnmcVeVVyTnY3NzMjRs3MJvNrFy5kmeeeYa8vDz53u/KBWkymaTncr5a1yK/RTAmeHt7y/abM+HsFaIPy3j6Jh5bR2HmPAUVlDLcJy5bRxcVOCPE85iampJdAGeD5eDbQMhUHx8fu6Kk+Y6pqSnZRlX5vN3d3WWO5JdBr9fLyMhc72vl3xOpOffaM2azWbIszPfzpzTkBU2b8HrPDDO7uro6bG1mC2azGZPJJAuFnZ3ma+Z6iTVTFjwLakRHR+Pm7ElOTU3h5+dHVFQU+/fvZ/v27bJlnJIPb6HD2S65bwplcZ2SPmPme+aLQvddhiPaui4EOPNzU0YTlOfS2aMCX4X7PfOvqsQX83YEXd+XYebawMJNoXPWszKbmKvipdmAM8s3mEXldWZl5JYtWwgODsbHx0f2Oob55bFaxN0QuVzCoha/U5LEL2IRi5h7iLMpvFwih/DrhgWdFUqPkMjVg3u3zHU2j56Ql8o5CI+Ws4xxEYtwZnxtzUKr1X7rP/rpp59+6++YLTyM+Tk7FvocF/r8YHGOCwELfX6w8Oe40OcHi3NcCFiI85v/5vciFrGIRSxiEYtYxCK+M1DNB36/RSxiEYtYxCIWsYhFLAIWPa+LWMQiFrGIRSxiEYuYR1hUXhexiEUsYhGLWMQiFjFvsKi8LmIRi1jEIhaxiEUsYt5gUXldxCIWsYhFLGIRi1jEvIHDSDi1Wu1rwB++4m3WgoKCeUsCq9VqnwE2A7nAMsAX+EtBQcFLjhzXw4RWq90L/HsgEwgGuoGbwP8qKCi46sixfVtotdpgYD+wF8gBogATUI5t7/6hoKDAev9vmD/QarXRwH8HdvHFOh4B/qGgoGDYgUP7VviurKFWq1UB3wd+BGQBrkAttjm+WVBQYHHg8L41Fvr8ALRabQsQd5+XewsKCiLmcDizgoU+x+/Ind+CE6yhIxnkS4F/uM9rG4FHgJNzNprZwX/BtoHHgQ4g3bHDebjQarX/BPwHYBCbojMAJAP7gKe1Wu0rBQUFf3bcCL81ngV+hU2RuwC0AeHAU8DvgN1arfbZgoKCeU3ZodVqk4ArQBhwFKgBVmEzSnZptdr1BQUFgw4c4rfBd2INgT8BLwN9wHvABLAd+DmwaQHMcaHPT2AU+Nk9fj8+x+OYTSzkOS7oO18Bh6+hw5TXgoKCUmwK7F3QarXCY/ebuRrPLOFvsW3gBmzW2AXHDufhQavVRgD/N9ALLC0oKOhTvLYVOI/Nkzefldc64AnguNI7p9Vq/zNwDXgamxL0gWOG99BQgE1x/ZuCgoJfiF9qtdr/hW0P/yPwEweN7dtiwa+hVqt9Epti1wysKigoGPj89xrgELY5vgr80UFD/FZY6PObgZGCgoL/x9GDmGUs5Dku2Dt/Bhy+hk6X86rVarOBNUAncNzBw/lWKCgouFBQUFC/QDwCMxGHbf+UKBVXsM0b0AGhjhjYw0JBQcH5goKCYzPDygUFBT3A//78n1vmfGAPEVqtNhF4FGgB3pzx8n/D5uF6WavVes/x0B4KvgtriE35BvgXodgBFBQUmIG///yfP53zUT08LPT5LWKBYIHf+U4FZ2w8/+PPf/5+IeQxLWDUY8sdXKXVakOUl4pWq92ELdfniIPGNhcwf/5zyqGj+PZ45POfZ+6h4Om0Wu1n2JTbNcC5uR7cLGOhrKHIMWu6x2vid8u1Wm1AQUHByNwM6aFioc9PCXetVvsSEIvNcCwDLi+wu/C7MMeFDoevoVN5XrVarSfwEmDFlo+2CCdFQUHBEPB32PIHq7Ra7W+0Wu3/1Gq1h4AzwFm+MEQWFLRarRp45fN/nnLkWB4C0j7/WXef1+s//5k6B2OZMyywNRSGY8I9XktU/P98zb9b6PNTIgJ4G1uqzs+wpV/Va7XazY4c1EPGd2GOCx0OX0OnUl6B54AA4GRBQUG7g8eyiK9AQUHBz7CF9NTAG8B/xFYg0w78cWY6wQLC/wtkAycKCgpOO3ow3xL+n/8cvc/r4vcBsz+UOcVCWsNPPv/5f2q12iDxy88VdGVRbOCcjurhYaHPT+APwDZsioE3NnaMXwPxwEmtVrvMcUN7aPguzHGhwynW0NnSBn70+c9fO3QUi3ggaLXa/wD8D+BfgV8CPdi8H/8T+ItWq80tKCj4Dw4c4kOHVqv9G+D/wlaR/7KDhzMXUH3+c8HkcC3ANXwXW8RqN7YoyMfAJLZq/CRs3vMUYL6GZRf6/AAoKCiYyb5TAfxEq9WOY9uv/w822rd5i+/CHBc6nGUNncbzqtVqM4F12Cr1Tjh4OIv4Cmi12i3APwEfFxQU/J8FBQVNBQUFkwUFBbewbdxO4P/6vCBoQUCr1f4VNmqeKmDr56kT8x3Cs+p/n9f9ZrxvXmMhruHnucpPYGP/6MGmkL+OTZZuwEZlBzaaqXmHhT6/B4AoLNzk0FHMLr4Lc1zomNM1dCbP62Kh1vzCY5//vIsKpKCgYFKr1V7DpsTmce9Ci3kFrVb7fwD/P2xW5rYFlBJR+/nP++W0pnz+8345sfMGC3gNKSgomAL+5fP/JD6vI8gF9EDl3I/s4WChz+8rIPbpvGT8eEB8F+a40DGna+gUnletVuuBzZq2Ar938HAW8WBw//zn/eiwxO9NczCWWYVWq/07bEpPKTZv3YJRevjC+HhUq9XayQOtVusLrMemGBTP9cAeJhb4Gn4ZXgY8gEOfU0stNCz0+QGs/fznvHcCfAm+C3Nc6JjTNXQK5RVbkU8gtuKJxUKt+YHCz3/+SKvVRilf0Gq1u7EpPQZsnZvmLbRa7d9jK+65ic1bN/AVH5lXKCgoaMTGDhEP/NWMl/8BmxX9VkFBwcQcD+2hYaGvIYBWq/W7x+9WYpv3OLaGIfMW34H5ZSmL0RS/j8NWTwDzu+HLd2KOCx3OtIbOkjYgCrXme0ctO3zeGebJz/8puArXarXaP37+/wMFBQX/9xwP62HhMPAptqKJaq1W+xG2fLQMbCkFKuA/zuO2omi12lexXYoWbMr632i12plvaykoKPjjHA/tYUOLzcj4V61Wuw2oBlYDW7GlC/x/HDi2b4Xv0Bqe1Wq1emwpETogC9gDGIGnCgoK5rtHa6HP71ngP2q12gvYOonpsBWj7cXmWT4B/H8dN7yHggU/xwV+54MTraHDlVetVpuBLel+IRZq5WJrW6hEIl9wE7ZiK0KYdygoKLBqtdo92Lx138OW3+oFDGFbx38tKCg448AhPgwIXklX4P+4z3suMc/bUhYUFDRqtdp8bEreLmxKQTc2Fol/mOdFTd+JNcRmTH4PW1W+J9CFjSv7/y0oKGhx4LgeFhb6/C5g41zOwxZ+9QZGgCJsfJpvL4CuTd+FOeayQO/8z+E0a6ianp7ve2URi1jEIhaxiEUsYhHfFThLzusiFrGIRSxiEYtYxCIW8ZVYVF4XsYhFLGIRi1jEIhYxb7CovC5iEYtYxCIWsYhFLGLeYFF5XcQiFrGIRSxiEYtYxLzBovK6iEUsYhGLWMQiFrGIeYMHpsrSarXznpagoKBAdb/XFvr8YOHPcSHMDxb+HBf36cKeHyz8OS6E+cHCn+PiPl2481v0vC5iEYtYxCIWsYhFLGLe4Gs3KSgoKPha7zcajbi5uaFSqWhpaeHv//7vOXz4MJmZmfzH//gfefbZZwEwmUy4urri6ur6dYf0lbhHR5374uvOzxnwdeYHC3+O83F+sPDnuLhP7bHQ5wcLf47fdn7T09MIrnWVSoVK9aWOwoeGxX1qj4U+x4U4vzntsDU2NkZDQwMGg4Hy8nL6+/vla8pDvBBhsViwWq24urri4jI/HN5iPaanp7FYLHbro1wvV1dX1Gr1nAneRXx7GI1GzGYzKpUKd3d31GqHN9tzKKxWK0ajEU9PTwD6+/spKytjcnISk8mE0WgkOTmZ/Px8XFxcsFqtAPPmLC/COXEvhdVqtX5n9pW4F8H+TnFxcZlXd+Ui5h5zemOp1Wp8fX3lv8Wm/S5A6VW2Wq1zamV/HQgB4uLiIsenUqkeSIiI9XTWuT1MWK1WpqenH/jZOAvEmN3d3XF3d3f0cJwGLi4uUnEdHBzk9OnTfPLJJ3R0dGAymQgMDOTZZ59l+fLluLi42J0TR0GM4V5n7X7nb6aDQOn1m6k8LPQz7EgIY2lychKj0YhKpcLX1xcfH595JU++DF/lkFKpVLMWbXUkxLzF2fwu3IeOwKwrr8rN6+bmJj08ZrMZi8Vi976F7HlVYmpqymkPrcViwWKxyFSPr4OpqSkAp53bw4TFYmFqagqVSoWbm9u8uXCE9/9+r82XeTxMmM1mNBoNAB0dHfz5z3/m5MmTlJWVMTIyAsD27dsJDAy0M+gcLa+E10qpaM40PGdCKWenp6elIe3i4oLFYpHeeKWsXsS3x0wjo7e3l5KSEi5evMjt27fx8/Pj1Vdf5ZlnngFse1J4H+crrFarvBOU50a8ptFoFqRSNz09jclkwmKx4Orq+o3u0kV8NWZdOikPX2dnJ4ODgwCEhYXh5+cnX1uIlr44vCaTCZ1Oh9lsJiQkBC8vL8AWup2ennYK5UdcaGq1GrVazfT0NHq9HhcXF4xGI6Ojo0xOTkor0mw2YzKZcHFxISAggPDw8O+EJ08oCxqNRio8yt87K8T4XF1dMZlM1NXV0dnZiZeXF0lJSSxZskR6FOH+nruFBKVnxGQy0d/fz5EjR3jrrbeorq4GIDAwkLy8PPbv38+yZcvkGjtSXom1/DLlUii2Ip3nQaIE4qIVEMrtXChQQlZOT0/LNKRvA2WqkzOkNM301Le3t3PmzBkOHjzIyMgIPj4+PProo/L9wqiYjxARuAdxYgwMDDAxMQHYnB9GoxEAHx8fAgIC5pUnWhm18PDwsHvtq+4HZdRS+XMR98esKa9iIcUF39bWxtWrV+nq6gJg/fr1JCYmyvfPZwvzfnBxccHFxQW9Xk9paSlVVVXk5ORIIeUMocd7wWKxUFdXR39/P25ubvT391NRUUF3dzdgW6vx8XEGBgbQaDTk5OSwdetWVq5caafA3i+kOZ9xv/k4+zzNZrP0APT19fGLX/yCgwcPkpiYyN/93d/xwgsvyPd9lWK0UCDWTK/XU15ezokTJzh+/Di1tbWo1Wqys7PZtWsX27dvJzs7m+DgYLt1dtSaP8jfFYrqt7kM5zLcKcb7sOSh8vuc4WzOlPV9fX3U19czNjaGt7c3u3fvJjs7W75/Pp+/L3veRqMRvV6Pp6cnXV1dFBYW0traikqlYnx8nP7+flxcXIiJiSE3N5cVK1YQFRUF4PSG9beJxjibDjAfMGsnROQEikPY3NzM1atX6ejoIDY2lrVr15KUlCTfv5AWT6RDCA9CaGgoFouFU6dOcfr0aYaHh3n88celBxZwWAHITO9KbW0tZ8+epaysDL1ej1qtZnR0lK6uLoaGhuSlMDk5ycjICK6urtTW1lJZWUl2djbZ2dksXbqUhIQEu1CmswqcB4UyPKvT6bhz5w4NDQ0EBASwbt06wsLCAJv3wBkvHqUi0tLSQklJiZzHd6lwEuy9IDqdjps3b/LRRx9x9OhRWltb8fDwYPfu3Tz77LOsXbuW6Ohop1hT5R40m81UVFTQ19dHQEAAAQEBmM1mjEYjISEhxMXFAWAwGGRahNFoZGxsjPHxccxmM3q9npGRETw8PAgICKC7u5uKigrUajX5+fmsWrVKemJnc1/fz5P8beWGUpaazWaHe2CV50qv1zM6OorVaiUpKYl169bN+/twpoJeW1tLbW0tVquVgIAALBYL1dXVtLa2otFoMBgMVFZW0tPTg4uLCwaDgcnJSdzd3fHw8KC0tBSr1SqVV4vFIvNknQnKO1SlUtHe3k5hYSEtLS3Ex8ezbds2wsPDAftzND09LVMIlestdCdYmBHph4VZ9bwqD2t7eztVVVUAhISEkJGRQUREBIDMDVkoEHMxmUyoVCr0ej39/f3U19fT2trK+Pg4KpWKRx99FD8/Pzuv2FzDarViMplksUphYSH/9b/+V4aHhx/4O4aHhykrK+OTTz5h27Zt/OAHPyAuLg5XV1d5EOf7+losFunJuXnzJr/+9a+5ePEi+fn5xMXFSeXVZDI5haIjIBQAoYR0dHRw+/ZtTCYTADExMfj4+Mj3L/TiAqXiOjg4yJUrV/joo4+4ePEiQ0NDREREkJ+fz2uvvcYTTzwB2BQfZzBKpqamZJ6gTqfj6NGjXLlyhejoaOLj46VClJyczPbt2/H29qahoYHJyUk8PDzQ6XR0d3czMDCAwWBgdHSUjo4O/P39WbJkCVVVVZw6dQqAN954g9DQUNLS0gDb/p+t+Qv2hplpA99mH85MG1Cm+DgKyvn4+/sTFhaGWq2mr6+PtrY2RkZGiI2NBZzfy3gvKFPKqqqqOHz4MJcuXcJqtRIaGorRaKS6upqWlpYv/Q6NRoPJZKK8vJzc3FyefPJJwHlrRaanpzGbzXJcxcXF/Lf/9t9oaGggJSUFnU7HU089RWhoqHyPkMv32pfz0XBxBGZNGitd6Dqdjo6ODtra2gBbPkt4eLjMrVxIyquYi8Vi4caNG5w/f57m5mbq6uro7e0FbCkU77zzDleuXCEkJIT8/HweeeQR3NzcsFqtMldtrqA0MsbGxr6W4qqkDZqYmGBoaAi9Xi+FrigEme/QaDTSc3Ds2DFOnTrFyMgInp6edqkSziZ4lPlnABUVFRQWFso19vLyemBPq1AwRD6eRqNxuvl+GZQG9fj4OBcvXuT3v/89V69excPDgw0bNrBlyxbWrl1LXl6e/JwzFGfNRFdXF3fu3OHcuXMEBQURGhrK5OQkBoOBgIAAzpw5g4eHByMjIxiNRlxdXTEajYyPj2MwGKTXZ2JiAo1Gg7e3tyxOA7hy5QrLly+f1Xx2pUFQVVXFu+++y+joKFu2bGHr1q0EBQUBD8bOovTSWiwWmaY2Pj7Oli1bSE1NBWzGpTKvd64w85ykpKSwYcMGqqqqaG5u5sKFC6xdu5alS5fKOcyns6V8rmVlZbz55pucPXuWwcFB1Gq1vBN1Ot2Xfo8odhJQPgNnVuTF2KampqipqaGhoQGA+vp63n77bTw9PTlw4IB8DmazWebFjo+P09PTg9VqxcvLCy8vLwICAuTc56MhI/QYAZFC+TAxq8qruDC7u7sl5QzY8nlmJjTPdygLYsbGxrh69Soffvghx48fp7OzU77P39+f0dFRjh49CoCfnx8vv/wy0dHRZGdn2ymDcwGVSmWnKGdnZ/P4449z+/Ztebmo1WopmMSmdHNzIzg4mMTERFxcXCgvL6ehoQGdTsfo6ChTU1O4ublJ7/N8NU6UhpXZbKa7u5vq6mrGxsZYv3493/ve96S3BHAKD48SQmETc+jv76exsZGhoSHAZnDo9foH+i4XF5e7Lv75khIi1lGcz0uXLvHHP/6RkydP4uvry+bNm9m3bx9bt26VESGz2Qw4fk1nes+Hhoa4ffs2bW1tWK1WBgYGGBgYkO/v7e2ltrb2a/2N/v5+SaFmNBqprKzkT3/6Ez4+Pjz11FN2KU4Paz7iMhsZGeHcuXO8+eabjIyMMDw8TFxcnJ3y+lXyQ+kZHhoa4syZM/zlL39hfHwcvV5PSEgIQUFBDpNDSsXa1dVVyvuwsDCam5tpaWmRZxLmV8GW8DyK/dnQ0MBHH33EyMgIGo1GRi5ECFyj0eDj44OnpydTU1PymYi7yMPDAx8fH7Kzs8nPz5d/R7zHGSH28uTkpJ08jYiIwNPT8y4HjoeHByaTierqaq5fv05dXZ30LHt5eZGbm8umTZsIDg6e03l8GyjTRu6lrM5UaOELb/03UWxnVXkVVbyDg4N2Vj3czTc43yGUNYDr16/zs5/9jMLCQllJKTAxMSHpQwB5kUZFReHm5kZqaipqtXrOcmBnKiTr1q3Dz8+Pixcv0tTURFBQEElJSYSFheHq6mpHfRIUFERmZiY6nY5f/epXVFRUcOfOHcrKyhgYGGDJkiVOWZD2dTBTWFosFoxGI35+fmzatIldu3bh5eUlO8k5o5I+86wpL8ZvG4abL14BMT6DwcDly5cpKCjgzJkzBAQE8Pjjj/PMM8+wdu1aQkND5WecJd9sZl56ZWUl58+fp6Oj4673CkNRKWOUrympiu71d0S1t/g7NTU1Uol/WDJbGPpCLpSWllJSUiIv/erqaqqrq0lLS8PX1/eB1kDpxe3p6eH06dMUFRWh0Wj44IMPcHd35/nnnycwMBCwp0dzBIQ3Xzh0YmNjCQkJka87y977JrBarXbK2tTUFN7e3sTExKDT6TCZTCxfvpzMzEwMBgMWiwVvb2+Ze52QkCCfh/KZODpt58ugZOtR3qfp6en89Kc/Zdu2bbi6uspiNbBFG37xi19w5swZxsbGcHFxkXrSzp078fX1ZePGjbi7uy8IfUm5L5Sy6Jvu81lVXuGLnEplKGAhQQhiNzc3mSrwzjvvcO7cOcxmM56ensTGxmIwGCRNWHJyMunp6YyOjnLlyhUqKio4fPgw0dHRREdHP1Qvx9eZB9hSOtasWUNISAjt7e34+/sTGxsrK63v5WkTFaRijW/evMm1a9d4/PHHcXd3l4Tc85Hvzmw2y5Dp2NgYVVVVNDY2YrVa8fPzk4LoywjjHQmlVavX6+nr62N0dFQqJPDlSonZbJbK09jYGF1dXQwODuLj40NqaqpUBpwx9UeExkV6gzhvv/71rzl16hTu7u4cOHCA559/nqysLOnpMxqNMtTpDJiZN15eXs6lS5fo6+uTSqDINRRzFvD09JRKoTJtwsPDg5CQEJm2pVarZZQkMTGR+Ph4goODycrKmhWlQZyViYkJ2tvbGRkZwc/Pj/7+fjo6OmhubmZsbOyBlVelMj48PEx7e7tUDouLiwkJCeHRRx+V+1Xsi7mCmK9YQ8E2MDg4iLu7O7m5ucTExMj3P4jy6qxsNW5ubnh7e6PT6XBxcSE0NJT8/Hx27NiBxWJhaGiI9PR00tPTpefV09MTNzc3/P39iYqKeujFe7MJpSI2PDzM2NiYfC07O5sdO3bIe0Ls06GhIU6ePMmHH37IyMgIUVFRLFmyhIGBARkp8PDwcBoZ9GWY2YxhamqK8fFxJicnpWzx8/PD29v7vrJEpKSJ6PWDrPWsmzLiwDrbAXtYUBZbjY2N8d5773Hs2DF5gVgsFjIzM4mIiKC5uRkPDw+efPJJtm7dSlNTE//8z//MyZMnuXXrFh9//DGRkZGsW7dOKrBzdWhnrk9ycjKJiYl35ZqpVCq7opfGxkYOHz7MhQsX5Hs6Ozs5deoUERERrFmzZl6TbYvDNjk5KVNBWltbAZsA6ujoICYmxmkJt5VjGh4epqWlhfb2djsO0HuFcgQ0Gg3j4+PU1dVx8+ZNbty4QV1dHRERERw4cIBdu3bJ3HVng7IgYmxsjMLCQn7zm9/wySefALB7925efvllVq1aBdgbos60lsJ4EOjr66O5uRlApubcy5MaEhJCdHQ0PT099PT0yN97eHiwdOlSli1bhlqtxmAwyJxYHx8fdu3axaZNm3Bzc2NqakpevA/zmShpynQ6HTqdjsnJSfm6UmY8iAwU6zw9PU1fX5+8NKempjCbzfT39z+wwTYbmKloDgwM0NDQwODgIKGhoeTk5BAdHS3f/yD3pbMWVyo9ymq1mvj4eB555BG+//3vExAQIPerh4fHXesw36gIlYVXRqOR2tpaampqAMjNzWX16tV27/f29sZkMvHpp5/y8ccfMzIyQm5uLi+++CIZGRnSE52QkMDSpUudVrYqIZxaRqNRpqWJve3i4kJgYCDR0dEkJCQQEhIinQlubm7SSy2408X3PQjmzA/vrJvvYaKvr4+Kigr6+/ulx0Oj0bB69Wr2799Pd3c3er2eFStWEBoaSkREBC+++CLd3d2UlpZy+PBhVCoVXl5erFu3DpjdKt97QVT8KotxhDdHFF8JSxm+qF6vq6sDbJep2WymqKgIg8HAwMAAe/bskYfQYDDMi3xnpadkbGyMc+fO8c4773Djxg35nsnJSSYnJ7+yq5EjofS2Wa1WdDqdNKxEPvNMuLi4yPwr4dF7//33+fDDDxkdHWV0dBQvLy/8/PwICgpixYoV0jvtjM0axsfHuXz5Mr/73e84duwYAGvWrOGFF14gNzdXCl9RJONs6zhTeVWumbKYLD4+ni1btpCYmIher8ff35/IyEhGRkYkR7Narcbd3Z2kpCSSkpJk0wrhMfHy8iI1NdWOgUKMYTaU1/HxcWprayktLWViYoKAgABWrlxJdna29IR/GZRNQwDq6uooLS1lYGDA7pk5ek1nKq8Gg4He3l4mJibIyMhg3bp1Ms1KmT86E6LYB5ByVKQyzWycMpdQPl/RIAOQ9RG+vr4EBAQA2M3tXusivHDzwfGl9OCPjY1JPndfX192797NI488gru7O6Ojo/j5+aFSqWhtbeX06dMUFxfj7+/PE088wSuvvEJ4eDiTk5N3NTlw9N69H0SkR61WMzQ0RFlZGUVFRVy6dInq6mqsVisxMTFER0fb5Td7enoSHh5OdHQ0sbGxpKamkp6e/rX37pxoRQuZO1J43MxmM83NzdJ7oNfr8fb2Zt26daxfv57U1FRZ8QrIRd+xYwdGo5F//dd/paysjGPHjpGTk0NiYqIsHJlLKC9GZT6j2FiC/kogMjKS7OxsKisrqaiowGQySU9PdXU1fX19uLq6snPnTrtLxlkxM/w/NDTEuXPn+OUvf0lxcTFubm4yL1B4D5TeS2cTNELwW61Wenp67EJa4iJUrqeywEvM5fr16xw5ckQaKCqVCoPBQHV1NfX19WRmZjqV8irmMz09zfDwMFeuXOHf/u3fZJHkmjVreOONN9iwYYMc9/1oa5wByudpsVgYHx+3+/f09DRhYWHs2LGDH/3oR7LIRWkozqzg/iqDWChIQnl4mPtaeFSHhoYoLi6WrAAAUVFRLF++nLS0tAdiBVDut5GREYqKijh//jzt7e127xNGuSOh/PtdXV2yIj04OJj09HT5nnspr+Kzyhx1kUOo0WgckmqmhHJuM1lITCYTY2NjDA0NERQUhNFoxGq13pVyBV94kx3BCPFNoJSdnZ2dXLt2jdbWVlJTU1mzZg1LliwB7O8FJW1oZGQkOTk5kgdWqaw7Yz2BMKSVd3lPTw/FxcUcO3aMEydOyChPSkoK4eHhBAUFMTExQXl5ufRKg617YXx8PKtWreKRRx5h5cqVhIeH4+Hh8UB3yJwor8708B8WlCTCYNuQtbW1dgVaa9eu5a/+6q/saHcExKYPCgrimWeeITw8nH/6p3+iqKiIixcvsnr1avz8/KRQmmulQGzSeyVVK8cRGxvLY489Jv9dUVEh/99qtXLx4kXGx8dpa2vjueeeIzAw0C7PzhkhksoHBgY4ffo0v/71rykuLkaj0bBu3Tra29uprq62UyKcMSdLmYfa1tbGpUuX5IUJSFJ7pQC2Wq0yz9dqtXLmzBl+85vfyDA12Obq6elJREQEYWFhdkqfMzwD0dWurq6Oy5cvc+TIEc6fPw/YFNcf//jH7Nq1i4iICKffi/CFQanX6ykuLpYXH3yhlGZkZLBnzx67Lk1K783XVQaEfHuYCp9S2QIbHdcf//hHu/mItXjQ9VDut/r6ej799FNu3boF2OZvMBgAW+6vI40q5XOcmJigqqqKsrIygLsu63udoZmsIQBNTU309fWRnp7+QF7q2YRyfsoxCm5sZbHOzGJCZb62UnFzRk7XmRBrNT09TXV1NTdv3gRsSqmy+FO5piJiBxAeHi490mCfLuOMENFTd3d3mZZTUlLCoUOHuHDhAj09PaSkpHDgwAE2bNiAn5+fTG0qLS2VNT4NDQ0MDw8zPDxMZWUlFy5cYP369ezdu5d169YRGRn5lWNxiMT+pkJEhKyVVCuzwR/2IJgpTLq6umS3ELBRZDz22GPs2bMHjUYjlVpPT08ZDhG5Qf7+/jz22GOUlpZSVFREY2MjHR0ddvNSshnMBb6K3kqsgYeHB7m5uZLe5OLFi7KQZGBggNraWgoLCxkaGmJiYoL9+/eTkJBgl8vjDAoPfFGBLPI8T58+zc9//nNKS0vRaDT84Ac/YOPGjXz00UcyLKJMxHe0x3EmlMprb28vN2/etKNtU6vVdwlP5Vq0trZy9OhRPvnkE8xmMwEBAVLZS09PZ82aNWRmZspnAI5t8ywaRAjPYnFxMb/97W8pLy8HYPXq1bzxxhvs2bNHNpWYSRXnbFCu4dDQEJWVlZLkXZkykJiYyJo1a/Dw8GB0dFQaGMJrKoq+lMbozHMnXp9ZMf2wIOSdUF47Ozu5dOmSvAyNRiMDAwN0d3czOjpq99n7yQhx5gSNXU1NjV1kBGz5+5s3b8bf319+zpFrLp6xsjnD5OSkPIczQ/DwxblqbW2ls7OT3t5eqqur6erqIiYmhlWrVpGWlkZgYKD0fM6VPFJ6Si0WC+3t7XY1H66urnh6euLn5wfY8j7NZjMGg0FW339ZKpmyeYWzyFglfd309DQtLS2Ul5dLBhCxDgLKcSvXRq/X2zm8xH4QET1HQ0lvJXQCb29vwNY19fLly5w8eZKzZ88yNDREbm4uP/jBDzhw4IAsjhRYuXIlW7dupaamRnph29raaGxspK6ujs7OTkZGRvD19XVe5fWb8pgKhVVZ3eaozTwzFUIkK4+MjBAYGMiePXtYs2aN3MDKxGQBoYwLCCVAWCRKImNHh7xmYubBSk1NJTIykueee46pqSm6u7s5fvw4R44coaamhsrKSv7pn/6J4eFhfvKTnxAVFeV0yqtyX964cYM//OEPlJaWEhAQwOuvv87f/M3fEBQURElJCfBFu0JwvvWZCbVajbe3tx3ZvKCvUdLRaDQaXF1dZZinoaHBLscuPj5epork5+cTFhbmND3klWMYGBjg6tWrUnHdsmULL7/8Mrt27ZKKqzOM+augpMgaGxuTlflgW1NlEZKQLWKNlYVnM+WVM8xbeTEqm2loNJq78nrvB/GamLtSngpjZufOnTz77LN37fO5hNLQ8PDwICYmhqSkJOrr6zGbzXZzvN86NTc3c+zYMY4dO0ZdXR0mkwmDwYDBYCA1NZUXX3yR3bt3ExcXh7e395zcjcoiR6PRyM2bN7l165Ydw4Vg2mlubiYmJoahoSEGBwfp6+ujr6+PyMhIUlNTJWNPSEiInfHkLPJFCeW5NJvN1NfXU1NTg8VikYwJQsmDu5stiH9PTEw4NROTGKdKpbI7W4ODg/zbv/0bf/7zn+nt7UWv1xMaGsrzzz/Pq6++iq+v7z0dOklJScTGxrJp0yZ0Oh3t7e3cvn2bq1evcufOHbkvHgQOUV6/zkUvCI6FQLvXgTQajXOeJ6M8SGIjazQapqen8fPzIykpidDQULtqxHt9x8zvAdsldfPmTSoqKli5cuXXCqPNNZQ0Pv7+/tK7Iei1IiIieP/996VH9vDhw/j5+fH8889Lcn9H0ywJL4G7uzuTk5MUFhby5ptvUlhYSHx8PD/5yU/Yv3+/7BcvhJJIHwgKCrJr4uAs3gHlnomOjmb9+vVUVFTI4p3p6WlZ6T2TymdkZISWlha71Ag/Pz927NjBihUriIiIIDY2dlYq0b8uxB4UXpC2tjY++OADPvvsM8AWUn/66ad57LHHpOIKXygUM41IuFtGzYz0zMV8lVRfYEv9uHjxIu3t7fj6+gJf5KaKLk2bN2+2y5VXFmA6+vJ3cXGR+6WlpYW6ujo5JrPZjFqtJj09nZUrVxIWFmZH0yY+L/apOGeisFDcEzOhUtn4qAVPtfjcXD+LmY6Onp4emZfr4eFxT0VHyV1bVFQkC0ZFAxklysrKmJycxGq18tJLL+Hv7z8nVFpKeWc0Gmlvb6enp0f+Tq1WMzIyIrv6+fn5MTk5ycTEhKSVCgwMJDIyUt6TsbGxxMbGEh4eTmJi4l1E/c6gyCqVV5PJREtLC/X19UxNTZGXl8eWLVvs2COUtTGCRgps6QWiRbxGo7mL6cQRd6MouBNsNErDsKamhsbGRm7evMnRo0dlFMjHx4f8/Hw2bdokZZOY79TUFEajEQ8PDzw8PCTLgJ+fH1FRUaSlpbFq1Spqa2vR6/VkZGQ80DjnhCoL7C3i0NBQu1Djl0FZQam8ZITi5+rqOiutC78KSk+GqMLX6/Uyh3BmAc/9vIzKfyufya1bt6itrSU1NZXg4GCnUYhm4n7GhEajITk5WbatHB4eprq6mpqaGt555x1yc3Ol8moymR54P8wGRHGSXq/n7Nmz/Mu//AuFhYUkJibyt3/7t7z00ksypDc+Pi7zfTo7O6murrarjHYm5VXZrS0sLIz8/HxOnjxJcXExYAtZtba2Mjg4aLdPVSoVo6OjNDU12bUK9vf3Z82aNWzdutUpu92oVCp0Oh3Hjh3jV7/6FQ0NDcTFxfHkk0+yZcsWqbgqQ7EihOvMxqHA2NiYzD0W9FYCNTU1vPfee4yMjLB+/XoSExPx8vJymnkJRUylUtHZ2cmHH37IpUuX7JoieHp6kp2dzZYtW2Tl/VcpX0Ip+LI11Ov1jI+POzwvVMBoNNLR0SHzcYXsEWF1cW6VudgnTpzgV7/6FYAdE0RMTAzp6el0dXXJ3MOcnBwiIiLmxLusXBs3NzeZhiTOmF6vp7Ozk9bWVjs6xS9DXFwcSUlJpKWlsWnTJtatW0d4eLhca2eQO8o0HIvFQkdHBw0NDUxPT5OXl8e2bdvw9fWVrZnFOg4MDEi5Kpg1kpOT5VpNTU2h0+lkEZ4jnDoziwIFS01FRQUnT57k+PHjlJeXy/kr0ydbWlok/7fSqTfzflcac4GBgaxYsYIVK1Z8rXHOumRTWmVg81plZGTYhXDuBZPJZPcQjUYjZ8+e5cqVK0xNTREaGkpkZCQrV64kLS1Nfm6ulAexqGJT9vb2UlpaCtiEcEBAgN2CKcNG94Nyo6pUKgIDA6XS5OxFJcJLpCQbdnFxwd/fn3379jE+Ps7AwIDM15qZ0+YICAtTCI7CwkJ+/vOfU1hYSHJyMv/+3/97qbiKy9fd3R1fX198fHyk0aIUps6YbC/2na+vr52HR+SdKSH2WVNTEyUlJXY5si4uLnh7e8t9PdNb6Sgoizxqa2u5cuWKLEzbsGEDTz/9NNnZ2ZjNZvR6vfTgubm5OcTwfVDMjNgkJCSwbds2Dh8+jNlsxmw2y7kMDg5SXFxMd3c3RUVFZGVlsX37drv2msK76YjLXym/xsbGqKuro6enR0YsTCaT9CIrGSC+aqzidVdXV3x9fe95/tzd3SWFn5Lmby6hlP/e3t6kp6cTHR1NR0cHAwMD1NfXEx4ebufdF2MuKSmRxV1gU+727NlDYmIiqampZGVlcfHiRX76059SWlrKiRMnSElJIS0tTVKgzZaxqcw59vDwID8/n8LCQukZvldL0K9Ca2sro6OjMo/0zJkzLF++XObYzzUH+r0gIgKCSrG5uRmDwUBAQAApKSl35XsKNDY2cuvWLfr7+4mNjSUuLk4yDYCt6PB3v/sdUVFRvPHGG/j5+dlRG872nJTPc3h4mNbWVmpqaqioqJAd95SMAWJPj46OUlxczMTEBEVFRSxZsoTo6GjS09NZtmyZPHMimqKMnnxTI2vWnobS06hUJj09Pb/UI6BMhAabJt/R0UFjYyNHjx7lyJEjshghIyODbdu2sWvXLnJycua0d7VSsE5MTHDnzh2ZrJ2YmEhOTo6dp+d+wuN++U2iTZ4yr8aZlVflRSsuH5GMn5KSwvbt26UyND09TXd3N2NjY/j5+TkFRVFHRwcHDx7kwoULREVF8dd//de88MILBAQEoNfrmZycJDg4GI1GQ1hYGKGhoZjNZoaGhhgfH5csCpOTk07VGUUZIXB3d8fLy0t6djQaDRaLhcbGRpqbm2UhXUdHB9euXaOiosIubSAoKMiO/eJBes7PBUT6Q2VlJR999BFXrlwBbGwfu3btkjRE9+LBtFqtsuOYq6srk5OTDAwMyDbOU1NTuLu7ExoaKufv4eExZ2dROd709HTeeOMNvLy8OHnyJAMDA1I5EQVL3d3dlJSUkJSUxNDQEFarlbS0NNzd3WX+/MyOXXMB5R3g6+tLYmIi/v7+MoVFyL7q6mpOnDjB6tWr8fX1vYtGSentEV4vkT7Q1NRk11cebLK3r6+PwcFBuyIQR4RjxRw1Gg3x8fGkpKTQ0dHB4OAgTU1NLFu2DB8fH6noq1QqqqureeeddygtLUWlUhEVFcX27ds5cOAAGRkZ8p4U901/fz9dXV12zoHZTpUQ9F4ajQYfHx+ysrJITk6moaGByMhI1Gq1jMYpIzxiH8IX3j6z2czw8DAjIyOMjIzQ1NTEZ599xpUrV+js7MTLy4vMzEw5L0fJH1EbADaGndraWgDy8/NJSkqS7xP5rCKU3t7eTllZGVarFR8fHzw9PRkaGqK/v5/29naOHTvGuXPn2LZtmx3l31xAmcJTW1vLzZs3qays5ObNm1y5ckU6Ojw8PPDz88PFxQWDwSD5W/V6PVeuXKGwsBAvLy9iYmJYvXo1+/btY/PmzQQFBd33rlcW4z9od8NZlcBCuwbs3ObNzc2Mjo7KBVVCaaF3d3fzq1/9iiNHjjA5OSlz88CmGN26dYvKykpOnDjBG2+8wcsvv0xQUNCsk42LBwyg0+m4dOmSLAwBm4ckNTVVMgo8qKCcOV6lh+CbFrk5EmL+KpWKjIwMnnzySVpaWmhubub27dts3ryZ7Oxs+Szn0pIWa+Lq6kpPTw/vvfceJ0+exMPDg+9///u88MILBAcHYzKZ7hIeISEhBAQEcOfOHW7fvs3evXuJiYmRrZDd3NycQqkDe+U1LCxMWvrd3d2SB/Xo0aN4enry7/7dvyM6OpobN27w2Wef2VXBBgYGkpiYKPO4lLmIjsDMXLvbt29z5MgR3nvvPbq7uwkLC+Oll15i7969shDkXmtSWlrKtWvX6O/vR61W09/fT1VVFT09PRiNRoxGI/7+/uTk5JCTk0NGRgZ5eXlERUXdNY7ZgFJR8/HxYf369URERLBs2TJOnDgh0wj6+/tlisf09DStra0cOnSI2tpaNm7cyMaNG8nMzLxLIZwrKC+tyMhIdu7cSVlZmfTiuLm5YbVauXXrFhMTE5w5c0a2rxWep5nFWfDF87darbS0tNxV7GG1Wjl37hzx8fEkJCTIyIMwVuYSymc+OTkpFe2pqSkGBgbknSjkoclkoqysjFOnTtHZ2UlAQADPPfccBw4cICcnx+453Lhxg8HBQQICAsjPz5f7E5h1b/tMZprExESeeuopent7CQwMlAbW/Vq+irXw8vJiZGSEGzducOPGDTu6ttraWo4ePUpMTAzBwcGEh4d/rQ5sDwvKwkKwpeucPn2auro6YmJiePTRR8nKyrJjRFLmJ4+MjEhGIpGff/z4cS5fvkxRUREeHh7s3buX733vezI9ZLa7bCll2OTkJCUlJbz//vtcuHCBgYEBxsfHpeLq7u7O0qVLycrKIjw8nNHRUbq7u2UUq66ujqqqKkwmE83NzbS3t1NXV0drayv79u0jISHhrr+pfFbgBB22lLmuMwVFS0sLg4OD8iJUHkK1Ws3k5CS1tbUcOXKEQ4cOyaRgDw8P0tLSiI2Nxd3dnYaGBlnJfuPGDXbv3k1QUNCsb2SlxTc0NERtbS1DQ0PydYvFIhVzobzeD/cq2BJw9gr2r4KyiCkoKIjVq1eTlpZGTU0Nzc3N9Pb2Sq+QeN9cXSjKPNuGhgZOnTpFb28vW7du5bnnnpNec5FcriQB9/LywmKxYDKZ6Ovrkxeiq6urXbjIGQoLlBECFxcX1q5dS2VlJUePHmVkZASVSkVzczMffvgh6enpLF26lOLiYjs+WJVKha+vL6GhobIgz9XV1aFpA8JABWRByPnz56UnT6PR2IXvxsfHZRTHaDQyNTVFbW0tV69epbGxUVr9ra2t96z+bWxs5Pr16+Tn5+Pj4yOVA5E2MtvKgYC7uzuZmZmEhoYSExNDa2srKpWKnp4e7ty5Q0NDA11dXUxMTNDa2kpbWxttbW00NDSQn5/PunXrpOcK5jZHWxlqzcrK4vnnn5fdz4TibTKZqKyspKmpScoCZfqYxWKR6UkzZafJZLKLFKjVaqxWK52dnZw8eZKwsDD27NnDkiVL7Fhc5uKMzoxABgcHk5qaSnV1Nf39/dy5c4cVK1YQHR2Nq6sro6OjXL58mTNnzsg9HRcXx9atW1m6dKksxLNYLBQWFnLw4EF6enp49NFH2bVrF1FRUXPqYVcaJ9HR0Tz//PMYjUZZRCnO18xnIhRbEW2dnJxkxYoVrFq1iqqqKpqammQ77pqaGt59911Z8KvRaO5K35ttKOcwNjbGZ599xvHjxxkdHSUhIYHc3Fw7w0GZpgU2WSUUwaGhIT766CMmJyfp6OjAw8OD3bt38/3vf59ly5YBXx61fVgQvN5gSxU4cuQI//Zv/yZTPd3c3FizZg1paWmyK1ZiYiJhYWEYjUZ6e3vx9PSUymtXVxdeXl7U1dXx3nvvcfXqVaanp0lLS5PKq/JvflPmqFlNGxAWmagyExDsAMr3Kj/T2dnJ73//e377299iMpkICQkhKSmJsLAwcnNz2bZtGxqNhrfffpu6ujqsViteXl5zRgWj/G43NzcCAgLsvMiiDezMFotf53vv9e/5CHFhqdVq/Pz8pDLR3d1Ne3s7RqNxzpXXmV7D/v5+KisrAVtFvaA8E1WhIvfMx8cHq9VKZWWlNFaMRiODg4Pyu5QeBmdYP2XivYuLC6tWrWJsbIzW1lYuXrwoz0xTUxOffPIJNTU13L59m7GxMbsQ7eTkJKOjo0xMTNx11hwBJdm9Xq+npqbGrquS2Wy2W5dr165x9uxZSkpKGB0dRa1W09vbS29vLwEBAURERMiOVDOVV5XK1lGspqaG8fFxduzYIV+bzXzCL0NoaChPPPGEHJ9oz/jpp59y/vx5ampq5BqWlpZSXV3N5cuX6enpkVQ+MLfKq7gPRORqz549ssDn8OHD0tM/Pj5up4SKz8LXM+iFwiQ886JN6TPPPCOZB+ZK8Zl5OWdkZLBlyxZu375NeXk5hYWFrF+/ns2bNwNIz/mxY8cwGo2kpqayc+dOMjIypFLu4uLC5OQkN2/epKSkBA8PD1asWCGrtecytUc5t5CQkLsYAh4EYk4bN25kaGiIkpIS3n77bcbGxpicnMRoNFJYWEhGRgbPPfccYF8ZPxcQz9JgMHD79m3OnTsnDf3c3FxZf6M01ETxXUVFhdRXwEY31d3djYeHB6tWreKVV165ixFlLtZOeRcajUa6u7ul4hoQEMDq1as5cOAAW7ZsISgoyI4HWpm7Oj09TW5urtR7Lly4QGlpKSUlJQwODt51pr8tZm3FhdWn0WhISkoiPj7e7nVl20qRLyOqnKuqqqTrGWxdKA4cOEBmZibh4eGkpKRI17to0ZmQkCCpjMT3zZZQVlK2hISEkJWVZUdPc6+Wm/eD8jVHKwSzAaXQFmsFUFtby61bt9i1a5esslUqJLMN5bOemJigv78fsIWR/+f//J/SqheeNYvFImlM+vv76e3tBWz0Rb/5zW8oKSmRPcbj4+PZsGGDZFO4V8hsriG8pG5ubqxatYonnniCwcFBme4yNTXF9evXKS8vZ2RkRFK5CC7R0dFRhoaGGBsbs+sc4ygo189qtTIyMsLExIQkuzebzXR2dnLs2DHOnz9PS0uLXIPIyEhyc3MlbU9wcDChoaEYjUYsFgsGg4Hr169z6dIluru70Wg0skDKZDI51OMsvFgz88JCQkJkSsHy5cuprKyktLSU0tJSWlpaMBqNVFdXc/jwYSYnJ3n00UfJycmxa1AxVxBnytXVlZUrV/LMM8/g7+9PS0vLXY00BO7ltfsqeal8z8TEBEuWLCEqKkoqwnNZuT6TzcPNzQ1/f3950be0tNDT0yMVgdraWu7cuSNzV7ds2cKzzz57V7RS5CQKiqHMzEzp7XNkZf43+bvK/RwUFMTWrVtlU4tr167JFBPB3wtz23peKce7uro4f/48Fy9eBOCJJ57g1VdflTK/q6uLxsZGent76erqorW1lfr6eju9RqPRsHr1atauXcvWrVvZtGmTjPDNpVGsvJsER71g5khNTWXlypXk5ubeM80T7LlgxX5ub2/n8uXLMpVl+fLldh7phzGvWVVehUUUEhJCZGQkvr6+6HQ6hoeHuXHjBpGRkQQHB9vxsw4MDHD79m07r8nKlSt58skniYmJAWwb48yZM3LjxMfHk5mZaVeQMNsQlpVGoyE8PNxuYR+k3Z/4vVDWRkdHGRgYsPt+Z1NmZxZPPMgGnKmcK6u7Gxsb7ard5zKHUikoBY1USUkJ3d3ddHZ22vFrCijz7wSGhoY4evQoFy9elK398vPzSUxMtOOxdbTyqsx7CwoK4vHHH2d4eJj+/n5pCIr0HLBP3tdoNKSnp5Oenm5ncTsyr1d5vgYHB9HpdHYeU+GdampqoqioCI1GIz19MTExbN269UuZBs6dO0dXVxddXV2SugZwiJcV7AtgxV5SFryIs5WZmUlmZiabN2/ms88+IzY2lmvXrtHS0sLQ0BB37tyhs7OTrq4uDhw4INtQi++Y68tyenqaNWvWkJycLEn4P/74Yzo7O3F3d5fVyCLFx2AwMDk5adec4X5Qpi1t3ryZl156iXXr1kmWEEe2H53ZVGF6epq+vj5u3ryJ0Wjks88+kwZ1WloaTz/9tGSOGB0dxWQy0dbWxsGDBzl37hyurq5s376dVatW2UU9HVmN/3UjocJJIIokPTw8yMjIICkpSTL5gK0WxGg0ym6VczVHpfLa29vLlStX6O7uJjo6mh07dpCUlCRTGauqqigpKZH586KxiFJupaSk8O/+3b/jySeflPtbMPXM5X2hvOf8/f158sknWbFiBXq9nuTkZKnI6vV6O9ov5VyEUT0+Ps6tW7d4++23effddzEYDKxcuZLt27eTkpIi3/8wzt2s5rwqN5WnpyfR0dHU19dTW1vLz3/+c4xGIwcOHLALr4+NjVFWVkZ5eTkBAQG88MILvPHGG1Jx7evr4/z587z77rvU1NQQHh7Oiy++SF5envyOmUS/s42Z+TzKS+V+hWNCeLq5uaHT6bhw4YLsyQ3c1SHF0SFoYYwo86ge5IApx60s4ANbiH4mPdhcQKVS2SkuK1as4D//5//MyZMnqa+vx9fXl7i4OFlsoKxsFnyKZWVlaDQaEhISCAsLk4aTWq0mLi7Obk87eu2UYxACODk5mT179shOVL29vTK3DpAezOnpacLCwnjllVc4cOAAISEh8jscqbwKgavT6aiqqqKrq8vudWEwbNq0iZSUFFxdXUlOTsbf3x9fX9+vpMiKjo4mNTWV0tJS+vr67DzXc83jq8wZVLbInJn+olQ+Q0ND2b59Ozk5OZSVlXH69GmOHz8uqZmuXr1KeHg40dHRUnm9l8E2mxCyJCQkBH9/f8LDw8nKymL//v2cOHGCK1eu4OPjw8aNG8nPz2d6eprr16/z6aef0tTUhIuLCz4+PjJFRKfT2X2/n58f69atY9u2bWzcuJG0tDT57BzFxSzOjre3N3FxcXYta6urqzl48CA6nY6ioiJ6enqIiYnhhRdeYMOGDfLzFy5c4OrVqzQ3N3PlyhVGR0cJCwtjx44dpKamArbCG8EsMtcQ+1LJyf5lBdRi34r7QSivYLvv6+rq7GpKRkZG6OjokOd6ruSr8o5va2uTnmBPT0+6uro4ePAgpaWlVFZW0t/fbydPIyMjCQ8Pl/RTYEszWLdunR2NlIjqOgLT0zZO5YCAALy9vZmampJjMxqNmEwm3N3d7ZqGCIh0utOnT3Pq1Clu3bqFwWBAo9GQmZl5V5THqZXXmb2VU1JS2Lx5M8PDw/T09FBaWsqnn35KWloaGRkZkuuso6ODqqoq6UnYsGEDiYmJsh9ueXk5Z8+epbS0lKioKA4cOCDDKTP7QM8mlJalp6ennSKnvNjvF2ZUVj/X19dz6NAhWW0YERHBihUr7JK9HV29fr9e2YK37V7vE89IpI9MTU3JvDZPT0+SkpLsGBXmUtAKIWG1WgkODubxxx8nNjaWlpYWmZri5+cnlVehDLW0tPCv//qvVFdX4+npyfr162UukHgWUVFRd1X7OguUzzgrK4uXXnqJ/Px8ampquHbtGuXl5QwNDdmtaUxMDNu2bZNUQ5OTkw6bkwirivXr6emhqanJLlIDtnPX09NDXFycnWErMD4+jslkQqVS4eHhIb18YPMwtLS0MDExYee9i46O5tFHH7XjlZ7tzlXiYr9Xpfa9PIfT09OSI9vHxwcfHx/Cw8MZGBiQkSqw5Zxfv36dXbt2yRzJuUzbgbv7vQcEBBAYGEhsbCwxMTGkpKTg4+PD5s2bZUpYZmYmsbGx1NXV4eLiQnh4uGQnKCoqstu3UVFR7Nq1i1deecXuEnZ3d3eoR1IgJSWFXbt20djYKHmV29raMJvNUsERNQIXL17Ezc2N5uZmPv30U06dOsXY2BiAbIG7dOlS+d2ONJiF1/eb3Fkz6ezu5SEfGRmht7eXpKSkb1To800hHBTt7e2Ul5dLmdPY2Mgf/vAHJiYmpAElKCLDwsJISEhg5cqVuLm5cfToUVpbW9FoNERFRUnjRTBPOLJZj3LPzFwHd3d3O4N/enqaiYkJxsfHGR0dpaGhgbNnz0q2F7DdL+vXr2fHjh3ExMQ89D05q8orfHHZ5OfnMzY2RnV1tQxTVldX8+6775Kfn09WVhYuLi5cvXqVtrY2wPaAGhoa+PDDDyksLKS4uJi2tjYmJiYIDQ3ltdde48CBA6SkpMhNPFdWi7IDSlRUlF3agOiSITpj3esQK5XbsrKy/z97/x0e9ZUn6OKvpCqpSqWcc0IJJJIsgshgkgFHsN3ttrvt6TDz1Pb0nZ3Z3+zO3t17d+595tmZuffOhvHUTo+nu+1uu50NbpOMMSIjgQARhIQQklDOuVRVqvT7ozjH3yoExjaoqkS9z8MjVEnn1Emf84mcPHmSgYEBdDoda9euZcOGDW63cm8JC0ptjhDOlG4enhp2pfCq9NsxGo00NTXJsc3JySE7O9ttQcy0lsDT9F1aWkpRUdG01XqExis9PV2aUcLDwykpKeHxxx8nPT0dq9Uqy+Ap3+8rFbfAvS3h4eEysndwcJAjR47w/vvvc+TIEbkJx8XFUVBQ4JZtwZsXKc8NUAQPeJaGNpvNVFVVcfjwYRncAV/tRxqNxs0VQHnhEhqEo0ePSlcejUbDpk2b+MUvfkFpaam8lHlrXd7LFcnT8qRWq4mNjXX7jkwmE8PDw25uO950U/KcU4WFhWRkZLiVlAVXGqb09HTGx8dxOBwkJydLV4Lq6mrpOhIWFkZBQQElJSVu/Z7JEuLTIf6+0+kqI/6DH/wAo9HI3/3d32E0Gmlra5PzMigoiObmZv75n/+ZN954A3DtqRMTE1IJUFxczFNPPcWzzz7rlunEF4pvTE1NST95rVZLcnLyN/7+c3JyWLJkCQ0NDVKgB2Q1y5kQ9pTV4UZGRqisrOT06dMyqMnhcEiZJiYmhqKiIsrKyli6dCnFxcWkpKSQnJxMU1MTx48fB77y+xb7jlDu+DrXr1+XgVfd3d3U1dVx7do1WT1TnBu5ubk899xzfO9736OwsPC+fNS/KQ995xUN1mg0LF++nB//+Meo1WpOnDgho7YvXbpEWloaOp1O1gcG1+L98ssvsdvtXLlyRd40CwoK2LVrFy+99JLUGihND95AuXE0Nzdz4sQJkpKSZEEGs9l8RxtHRka4dOkSNTU1MlWM0WgkNjaWoqIiwsPD5WHrDYFBOdn6+vo4evQoDQ0NZGRkUF5eTn5+vptQ44nyYG9vb2ffvn1UV1cTHBxMTk4OSUlJPiHkKSttKVPyKJNEWywWIiMj3R4T5j9hDpkuCb6vIw655ORkVq9eTUtLCzU1NXITKioqYv78+W7j5M0+ero/5ObmUlpaSmJiIr29vahUKsLDwxkbG+PcuXP85je/YWhoiPz8fHQ6Hbm5uaSkpLhdUEwmk/RNa2tro7q6mi+++EIelgkJCSxfvpwnn3yS0tJS4Cs3moc1Z5UpcoxGIw0NDRiNRpmqRvj0ivKT4rXikHA4HJhMJmma98z1Kea3L/nVi3Vmt9vR6XRurjeTk5MEBQWh1WrvyF4jkqZ7phTLzc2luLhYVkESddV9AbPZLAW6jRs3UllZSWVlpRS+xThOl3kBXBftsrIyVqxYwdq1a6W7wMMOVr4XSr/s0dFRTp8+zcGDB+nq6qKiooIXX3yR9PR0zGYzDodD5vZValZFpTVl0JnJZHLzZxdFYzzz/z4slDELRqORK1euUF9fT2hoKPn5+cyZM4fo6GhZWGjOnDlkZ2eTk5MjXXJEO0WbtVotarVafmcPO5fr/WC1WuV8m5qaksrAsbEx2trauHr1Kq2trZhMJumjLXK4gqsQw4YNGygvL6eoqIglS5bckZbvQfLQhVcxKW02G3FxcbzyyitEREQwMTEhyxn29vZO2zGRykaQmZnJypUreeKJJ1i9erX0g/UGnj48xcXFbNq0iZMnT9LV1cX+/ftJTU1l48aNwJ2+cpOTk9TX17N3715OnTolXQuio6NJSkpyyxPrbRwOBy0tLbz77rvs2bOHrKwsdu7cydq1a2WyYiH4KTWvYiMVY/35558zPj5OaGgoOTk5pKWluQlC3hJepzNx3c3spWyjyPU6OTnplvzcXwRYZfU2tVpNQkICeXl5blqbsLAwtFqtmyChzLHqLZTBEwsXLmT+/Pk0NjYyNTUltYkmk4mqqirGx8dJSkoiKyuLNWvWMG/ePGl2t9vtnD9/niNHjnDx4kVu3bolL5I6nY60tDSWL1/Ojh077giGeZjfgTI39uDgIO+88w4NDQ2sXr2aZ555hrlz50oN8t1S7Ikx6+vro7e3945SwA+zkMu3QbhwCJRWH89LsnDHEpo3z2IiKpWK+Ph4WYbcM4jW2yj3iOzsbFlC+9y5czLCXoyPuHg4nU50Oh3z5s1jw4YNbNy4kZKSEjernzf7KMbKYrHQ0NDA7t27pca4v7+fzZs3k56ejkajuWvFSM8CLzU1NRw+fFhWrwTXdxceHi6/w4cdaKj8bBGAPnfuXDQaDevXr5duLTqdzs3PWCnTDA4OcuHCBVlUpKSkhIKCAre9dqbXosiVLHyNz507R1VVFQMDA1gsFqkI6O3t5cyZM26ZEgRqtZq4uDjy8vKoqKhgx44drFixQu49yrF50HNzxmxeyo1l/fr1mM1mMjIyuHr1KuCK2vasjqKkqKiI733ve+zcuVMOumf6kZlEucCcTidr1qyRfpwnTpygvr6eTz75hKmpKVavXn1HmomhoSHOnz/PyZMnZSTl8uXLef7559m8ebNb4ntvIia2SJcELmf1Tz75hNOnT5OZmUlKSgqhoaEkJCRQWFhIVlYWGo0Go9HI0NAQTU1NnDhxQppWwsLCyM7OZs6cOW7Vj7x9kAptmmeAgdK/2TPCW5S1E88JVwlfOijvhdPpxGw2S8EhPj7eba3evHmTS5cusX37dvmYCAZRms5nep4q/15iYiKbNm2ira2NU6dOyQ1WpPlqbGykqalJ+szHxcVhNBoxGo2YzWb6+/vp7Ox025iXLVvG2rVrWbx4sSyMEhUVJQX3hy34Kf3kJycnOXfuHCdPnqS+vh5wrcvi4uL7akNdXR2HDx+W6w9c4z6TZW6/KSKzh2fUvNjrhYZWCK+erhLezCRwPygzRiQmJrJ+/Xrq6+s5d+4c4NojS0pKqKioYNGiRWg0GkwmEyqVirS0NHJycsjMzJQC3Ezm650O5d8fGBigtraWxsZG+fzAwIDMngB3Wm+UZnQxbmfPnmXv3r2cPXuWiYkJQkND0el0FBcXS+FxJnL1Kj87KiqKbdu2UVZWhlarJTMzUxaW8ESZiL+5uZkDBw5QU1NDTEwMW7ZsoaKiwu2yNtPzVQSIiVSA77//Pv/4j/8o9wa73U5mZiYJCQmMjIyg0WjcLpFJSUksXryYlStXUlJSQnp6OllZWW6uHCLQ9GEodGZs5xKNt9lsxMTEsHPnTpKTk6mpqZGVNc6fP8/Y2BiRkZEMDw8zMDBAZGQkmZmZzJ8/n2eeeUaa7URQgreFHqG1io6OZuPGjQQFBdHb28v+/ftlpZjBwUHKy8vRarXS0bm6uppjx465JVZfsWIFv/jFL6RJ0Bv1t5UI4SQkJITU1FS3XL1tbW3cunWL6upqqVVOTExkwYIFMhBrbGyMnp4eWU1LHMgZGRnMmTNHakWEwOdt7haUpnT1UAqmKpUKtVotTZHBwcFeiUb/LojMC2KDjoyMlBet4OBg2tvbqa6u5vr167I6SkREhNfHS7kZhoaGsmbNGpnn9dq1a7KSjTJIsLe3947KYUKAi42NJTExkYyMDBlgsXr1avLz8+XrZ/KS7Pl3hLmxtbWVTz/9FKPRKINZo6KiZNCo0vQufCY//vhjjh8/Lk3nohrVyMiI9NsT/fMVlGkEPR8H1xwU7R0fH2dwcNBN0yVy8gp8qW8CZbpFkUpSkJKSwooVK3j22WepqKi4q3CmvEx5E6U1Znx8XOatFQQHB1NZWYnT6SQ3N1defh0OB9HR0eh0Omm2tlqt1NXV8cknn3Dy5Em3NFM5OTksWLBA5rudCdcX5Xer1WplqWiBCJIUiHXoeQEVF0+NRsO8efPkeertIEJw9WF8fByn00liYiIJCQmYTCays7OZP38+0dHRbhrlkJAQ4uPjWbhwIUuXLpVCutPplLExarX64V4qHtonT4Ny8w8NDWXFihUsWLBA1qaemJiQt22bzSYFw7CwMHQ6nZtfqa9oDDwP8YKCAvLz8+WhcOTIEUZGRkhNTXXLVdjc3ExnZ6c05UVEREhfPPgq35s3EZtLcHCwnMQ5OTm0tra6OWCLhdve3i4rowjtiNVqleZ1cEUAr1u3zk0o8HY/vwlKLaznT8//+wvKNoeHh5OVlcX169elX2RnZydHjhwhNTWV/Px8qdGcLrBtphGbZE5ODs899xwFBQWcOnWKY8eOcfbsWTdTeWhoqJyHRUVFbNmyhTlz5mAymbDb7cyZM4d58+YRFxfnJsR7A88Dc968eVy7do2xsTFqa2tpaWnhyJEjFBYWuvndiQhgUR62pqaGq1evysAzZVnVmYzUfpCIPSkoKIi+vj4OHDhAVVWVW+7X6cqR+jKiCIZAq9USEhJCX18fTU1N5OTkuGnpBMpUft7E099YCKOCjo4Ofv3rX/PFF1+wYMECsrOzmZqaYmpqiiVLlrBq1SoGBgY4ffq0TOZfU1Pjlvs8IiKC4uJi8vLy5GPeTC2lRFSOg6/G5G7pM4W22Nso/eDVajW7du2irKyM7Oxs4uPjZZyHSAXpaf0QMR+eAdxiTB72vJzRk0eYgMStxNPxXmji7oUIUPD2oSkQm784FEVlkIGBAerr6xkeHqa6uhpw9T8qKgqj0egWWahSqSgoKLijcpEvbEhCOFepVGzYsIH29nZZR3s6hDlW+RmiHzqdjvXr1/Piiy+6pRvylbG8F54bpHARmJqauu9qar6Kcp5FRUWRm5uLTqeTuRVDQ0Ol6a6wsFAKSUajkaysLFatWiX9z2fafKnUiKelpZGSkkJubi6FhYUsXbqUjo4OgoKCSE5OJiIiQmpnS0pKWLVqFRkZGYyPj2M0GklISLhDQBAuFTMdBKPUOsbGxrJlyxba2to4fPgwFouFvr4++vv7uXr1KllZWaSlpREeHs7k5CRmsxmz2UxbW5uMGRAaZhH8s2jRIl566SW3gApfCWb6OpRavt7eXi5cuOBWYANcAYgiKwh4fy+9G6JdGo2GpKQkoqOjGR0d5cqVK1gsFtrb2+nq6mL9+vUyOFlUmPJWYNZ0KJU48fHxrFy5ks7OTvbt20d7ezvDw8MMDw/T2dlJS0sLmZmZcg9tbW2lqamJvr4+Tp06xc2bN+nv75d7aUxMDBkZGSxZsoStW7dSUFAgfd69IbwKhQwgL/BfFzOhzJohgri9jbJ9ISEhPP7442zduvUbzynhfy7y1s+UVc4r3+B0eQvvF19IATIdYuMPDQ1lw4YNlJWVSY3Vr371KxoaGqR/oVJw1el0zJkzh9WrV8uIUfBeJR8lypRXKpWKhQsX8tprr9Hf389HH30kD/a7bR7KG6io3/zMM8/I+t1KnzZ/xNMfz19RblZRUVGUlpZSWFhIVVUV4Ao2qK6u5tSpUwQHBxMeHi5T1axatUpWrQLvB3MFBwdTUFDAnDlzePHFF6dNqC1+F/MuNjbWzaqjZDpt10wg2uZwOIiKimLVqlXU1dVx9uxZxsbG7ijSIEySd7MCKPNNZ2Zm8tprr/GLX/xCPjfTVX0eNMq2JyQksGzZsjsq+vjiOhVjFBcXx5IlS9i8eTNffPEFIyMjtLe3k56eLstqiznhi65JSg2wKA4hIvB/97vfyZK/oaGh8uIl+iOCu4QwK9ZsUFAQaWlplJWVsW7dOhlsKfwuvZVh6H6yygirpUAoOsB1sUpKSnJ7rS/wbWUrb116vbpbicmqTAQvJqRS7SyEhIedEPxBERYWRnJyMsnJySQkJKDT6fjss8+4ePEiw8PDREVFkZ6eTlFRESUlJRQXF1NYWMicOXPkZ/iaQCc0aiUlJej1esrKyujq6mJkZITu7m5aW1sZHByUG6vI7ydYunQpzz//PBUVFfIxX9uA74Vy3okCGqmpqWRmZnqt0MKDQjnXoqKiWLduHTabjYiICA4fPnyHSVPp36XVat2KaXhrI1YeFkLrcT9rSJmL2G63y376gkuEkuTkZJ555hmmpqZ46623ZCJwEWyhzIIA7v7XJpMJq9WKw+EgJSWFl19+mWeffVZ+tq9lHfgmhISE3GHBy8rKYuPGjTI+QrzOV4QEgafbRllZGT//+c/ZunUrAwMDhISEkJ6eTnFxsSziA753NkxHWFgYixYtkimxzp07JwsUtba23iHcCcS56XA40Gq1rFq1iieffFK68yiFRn+as0q3gdjYWLfsLb6CCJIU7mLKi4Hyp6dc5q0zz6u7s9hgZxtCCFepVGRlZfHiiy+SkZHBgQMHaGpqIjo6muLiYpYsWcLy5cvdbmG+iDjEhWmgoqKCiooKBgcHpeB65coV2tvb5Ws7Ojqor69nZGSE4uJidu7cydatW0lNTXUrMesviI1WpVIxOTmJyWSS2RV0Op3Xa6V/F8TGJKJ2CwsLiYuLIzY2lrCwMM6cOQO4zIE2mw2TyYRWq2XhwoU8++yzPnHp8tTge+Yx9TzohOZVKaD64viJeIDg4GAWL15MUlISQUFB/OY3v6Gnp0dqTG02mzx8BOKSIaKEIyMjefbZZ3n11VfJzMyctuiIv2G1WjEajW6CaUhICHPmzCEpKUl+J76q+FAe/PHx8axZs4Y1a9Z4sUXfHs/sLMHBwcyfP5+EhAQqKipkIvsbN27Q2dmJ0WgkODgYq9Uqc6YuXLhQFp7QaDRs2LCBJUuWAK6xVqbI83U8s1+I34eGhqbN3etthHuUv6R69I9Z4IcITXJISIj0gy0qKpJ5TiMjI4mLi3NLYuzreDphx8fHExsbS3Z2NgsXLsRkMsnnJicnGRsbw2q1EhkZSUZGhjx4lUEj/oIQXpWHYHR0tCyZKgLs/K1fSpRtT0hIYMuWLRQXFzM4OChzisJXbiSxsbEkJyc/8JrV3xUhtCq1O8oE/gJlcIH43RdRCjjp6en85V/+JUuXLuV3v/sdtbW1ssKPZx5Xwfz589m4cSPLli1j4cKFstSqEDD8DeUY2mw2LBaL22Pj4+NuloIA3kFYqHJycmQmmrGxMYxGIyaTSVpdAVnOODo6WqZPDAoKcosDmalAoAeBpzuDTqeT2vPR0VE3q2SAb0dAeH0IKDU44iCNiIhw82kViDyhQhPky4tS3HhFkJIwrX7TyGxfEHC+Kcrb/tKlS3nllVdYuXKlW1opf0fMPXFwxMXFuQW93AtfOlC+aeogX2n312EymQgNDSUmJoZnnnmG8PBwzpw5g9PppLu7W1Yn1Gg0UjBNTU1l6dKlMrOCQGi7/BFPbeWcOXNkUKxarWbp0qV+aQ0RWmKl36fQrHtWSPNllIKbuFTodDpZ9OOb4q8+2cr2pqWl8fTTT5OUlERSUhIpKSnyOX+Zn76Gf80GP+TrHMqFts4bjuffFrEo/aW9DwLlQb9t2zbWrVtHWFiYfNxfTC33w7fRID9Kc8FbeOaCXLt2LcuWLQOQqQWF0Kr0gfVMLg7+keHjboi2O51OsrOzefzxx7l8+TJGo5HNmzfzgx/8gLy8PL8rGCLGyzPtkj+dDZ48iHb7k+CuxFN4ffnll9m1axfBwcFucQKz6eyYSfx3B/MTlP6EImhCuUn5o6nZ8zAQBRWU7gDiMeHb+rATFs8E4kAJDw93EwZ8Sev4IFBqYJVR6p5m99kyrv6CWHcmkwlwBct9kwhh4dYzXUlZf0O4hISEhFBaWsorr7zC+vXreeyxx1i0aBHBwcFu/r/+gr8I2t8UkdtUnBPTFReYruiQSIflz4gzMCIiwicDtfyVwKkzQwQHB/tsmq/vii9UeJkJPAMS/F0r8nWEhIS4ZVII4Bsox+R+CmSIOTqbxlIZoKfVanniiSfueE3gUuU7iDPiURyTu50bAb4bj95MChDgO2K326VJMmDyCeAthL88uFftUR6MQsjzV9Pr1zFdUYzZZgkJ4P8o01B5o+jJbOQbC696vf5htMNnmO39g9nfx9nePwj0cTYw2/sHs7+Ps71/EOjjbGA29i8g+gcIECBAgAABAgTwG4J8repIgAABAgQIECBAgAB3I6B5DRAgQIAAAQIECOA3BITXAAECBAgQIECAAH5DQHgNECBAgAABAgQI4DcEhNcAAQIECBAgQIAAfoPX87zq9frVwJ8BK4A4YAi4Avx3g8Gw34tNeyDo9foM4P8CtgLxQDewB/hrg8Ew7MWmPRD0ev3fAeVAIZAAmIBbuPr4usFgGPRe6x4Oer3+FeC3t3/9qcFg+FdvtudBM1v7N5v3Gr1e3wpk3+XpXoPBkHKX5/yWwDz1PwLz1P/nqa+MoVeFV71e/5+A/xsYAPbiEuwSgMXAOsDfF+oc4DSQBHwKNABLgf8N2KrX61fOAuHu3wIXgC+APkAHLAf+C/AzvV6/3GAwtHuveQ8WvV6fCfwjMAHMulp/s7V/s32vuc0o8N+neXxihtvx0AnMU78mME/9H6+PodeEV71e/zyuRXoYeM5gMIx7PD8bShcZcAmuvzAYDP8oHtTr9f+AS+j7G+BPvNS2B0WUwWAwez6o1+v/BviPwF8BsyJDsl6vDwJ+AwwCnwD/zrsterDM1v49InsNwIjBYPgv3m7EwyYwT/2ewDz1f7w+hl7xedXr9cHA3wGTwEueixTAYDBYZ7xhDxC9Xp8HbAZagX/yePr/BIzAK3q9XjfDTXugTCe43uaD2z8LZqotM8AvgA3Aa7jGb7Yx6/r3KOw1jyCBeRrAH5h189SX8JbmdQWQC3wEDOv1+u1AKWAGzhoMhjNeateDZMPtn4cMBoND+YTBYBjX6/WncAm3y4EvZ7pxM8CTt39e9morHhB6vX4u8LfA/zAYDMf1ev2Gr3uPPzGL+/co7DWCML1e/zKQheuwvAwcNxgMdu8268ERmKezgsA89X+8PobeEl6X3P7Zi8tfcr7ySb1efxzYZTAY+me6YQ+Qots/G+/y/A1cwmshs0B41ev1/w6XT080rgCuVbgm9N96s10PAr1erwJ+B7ThcoWYVczy/j0Ke40gBdc4KmnR6/WvGQyGY95o0IMkME8D89QfmOXzVOD1MfRWqqyk2z//BNACG4FIXDfNz4E1wIfeadoDI/r2z9G7PC8ej3n4TZkR/h0ud4g/wyW4HgQ2z5LN9v/AFTDxqsFgMHm7MQ+B2dy/R2GvAZdv3eO4DhUdLuHnl0AOcECv1y/0XtMeGIF56v8E5qn/4xNj6C3Na8jtn0G4bpOXbv9ep9frn8WlrVyr1+srZpm5REnQ7Z9Or7biASHSY+j1+mRcJrC/BS7q9fodBoPhglcb9x3Q6/VLcd2e/7/ZOBdne/94RPYag8Hw1x4PXQX+RK/XTwB/gSv7x7Mz3a4HRWCeBuapP/AIzFOfGUNvaV5FftNmxSIF4PZN5fPbvy6d0VY9WIRmNfouz0d5vG5WYDAYeg0Gw25cLhHxfJXfzu9QmH8agf/s5eY8cGZ7/27zKOw19+Kfb/9c49VWfAcC8zQwT/2BR2Se3osZHUNvaV6v3/45cpfnxULWPvymPDREHwvv8ryIwr+bT6xfYzAYbun1+mvAIr1en2AwGAa83aZvQQRfjZ9Zr58249cber3+DVyO+X82Uw17QMz2/sGjsdfci77bP/05q0lgngbmqT/wKMzTezGjY+gt4fU4YAMK9Hp9qMFgmPJ4vvT2z9YZbdWDpfL2z816vT5YmXFAr9dHAitxVaOq8kbjZoi02z/9NYrUAvzqLs+V4fJrOonr4PFHE9Fs7x88GnvNvai4/bPZq634bgTmaWCe+gOPwjy9FzM6hl4RXg0Gw4Ber38f+AEu5+b/JJ7T6/WbgC24zOkHvdG+B4HBYLip1+sP4TKf/xtcVTYEf43rdvJLg8Hgt/nf9Hp9Ma5kxT0ejwfjSradBJz21zK4t811P5nuOb1e/19wbUZv+Wu5v9neP3g09hq9Xl8CdBsMhiGPx7OB12//+vaMN+wBEZingXnqDzwK89SXxtCb5WH/HFgG/O96vX4NcBZXvdxncWnqfmowGEa817wHgh5Xedj/qdfrHwfqcfV5PS53gf/di217EGwF/p/baVxu4qokkgysBfKAHuCn3mtegADA7N9rngf+g16vrwRagHFgDrAd0OAqKfr/eq95Ae6TwDwNzFNfx2fG0FsBWxgMhj5cC/W/AZl8VY1iH7DaYDD4fVoQg8FwE1fO0zdx9fUvcA30/wQqDAbDoPda90A4DPwLrsCs54D/H7ATGMKlXS4xGAzXvNe8AAEeib2mEtiNK8n9S7iEoLW4TJQ/AnZMY4YO4GME5mlgnvoBPjOGQU7nrMjUFCBAgAABAgQIEOARwGua1wABAgQIECBAgAABvikB4TVAgAABAgQIECCA3xAQXgMECBAgQIAAAQL4DQHhNUCAAAECBAgQIIDfEBBeAwQIECBAgAABAvgN953nVa/X+31aAoPBEHS352Z7/2D293E29A9mfx8D83R29w9mfx9nQ/9g9vcxME9nb/8CmtcAAQIECBAgQIAAfsM3rrBlMBgeRjseKnq9/r5fO9v7B7O/j/7YP5j9fQzMU3dme/9g9vfRH/sHs7+PgXnqzmzsX0DzGiBAgAABAgQIEMBv+Maa14eB3W7HZrMBEBISQkhICEFB93RVCRAgwAPG4XAwNTWFzWYjODgYlUqF0+nEZrMxXSW+oKAgVCoVKpWKkJAQL7Q4ACDHyGaz4XA45FgFBQXJcVSpVIE91Y9wOp1YLBacTmdg/GYJdrsdu91OcHDwrJBxlPuM+F15foSGhj7Uc8EnhFchsD6KOBwOAIKDZ78S/FHqqy/jKYiK34ODg9FoNHe8PiwsbEba9aBwOp1uG6v4/90EcPHPXwkKCkKtVqNWq+/5Os/DJoDvEhQUNO1anC04nU55HigRc9Pf16QSp9NJUFDQrJNzlOMj+hgWFuZ2XojHHwZeFV4fZsf8BaHVUqvVs1qoE7cycdDO5r76A+LgcDqd2O12goKCCA0N/daf50tr2eFwYLfbga+EV6GVFG0U/1er1d+p3/6E6LOvjFOA6XE4HLN+f7Tb7UxNTbldKIWlICQkBJXKJ/Rq3xmxv07XH1/aM78rd+sjPLx+emWGiM6IDg0ODtLf34/NZiM2NpaEhAS/0/bAVxMV+NrFJzaoR+HgtNlsqFQqv9Ik2Gw27HY7TqeT4OBggoOD79AK+NPG43A45JwTB4RAzNXx8XGam5vp6+tDp9ORkJDA1NQUQ0NDWK1WQkJCpFbT4XCgVquJj48nPT2d2NhYb3VNCqtOp1NqNzw1HF+3zoQA749Cg9FopL+/n4GBAcxmsxxrAJ1OR3JyMsnJyTOmEXlYiP1VjLUS4cLiz5ot5focHx/nxo0bWCwW0tLSSElJ8csz0RNhNheuEF/3WsBvx1SMp0qlwuFwMDg4iNFoRKvVEhcXJy0l/rIWhXuncHmYmprCbrej0WhQqVRYLBZu3rxJT08P0dHR5OTkEB8fDzwcq6tXhFehAQgODsZoNHL06FH279+PyWRizZo1bNu2jaysLL8zc32Tw89f+vQg8EeBIDg4WApqSuHV8+LlL4i5ebexGBsb4/jx47z11lscP36crKwsVqxYwcjICGfPnmV4eFhuwmJdRkdHU15ezo4dO1i9ejXp6eny82ZyQxZ9U2pWv81n+MuYKjVzk5OTXLx4kS+++IKTJ0/S3t6OyWTCZrOh0WjIy8tj3bp1bNmyhcWLF/vdgankXpdG5eXSX5mampIX/L6+Pv71X/+Vnp4ennnmGbZu3UpSUhLg3xr0b9Jufzw3lAhBHaCnp4eDBw/S2NhIbm4u27ZtIzMzE3ApSr7O5cdXEJdEu93OrVu3pKCamppKa2srb7zxBl988QUFBQX87Gc/48knnyQ8PJygoCC37+NB4BXhVUxgh8PB9evXOXToEL///e8xm82EhITw2GOPkZGR4SYs+AvKwZnO/GO32+XNZWxsjKqqKqampnjsscdITU0FfP9gEcF1SgFvOgd0q9UqXQQ6Ojo4efIkERERVFRUEB8f79P9vJugp2yvxWJxu1GKA1T4N/kCygugWHPd3d0MDg5itVqxWq20tbVx+fJlrly5wpkzZ+jv76evr4/R0VFMJhMdHR3TfnZPTw+3bt3i5s2bjIyM8P3vf5/o6Ggp4M7Ud+DpT9be3s6tW7ew2+1otVqmpqa4efMm3d3dREREoFKp6O/vR6PRsHjxYsrKyoiLi5uRtj5oGhoa2LdvH/v37+fy5ct3PN/R0UFXVxft7e08+eSTVFRUEBcX51eCgbCChIWFfa3foNA6+6PZWalN1mq1hIaGzpqASKVWGeD06dPU1tZisVik4BYeHk50dDRJSUnk5+fL81D5fn9CzMG+vj4OHz7Mb3/7W86ePcvy5cspLi6Wwqvdbvc54VXpTgbcYdFyOp1cuXKFI0eOYLFYiI+PZ2hoiMrKStrb22lvbycxMZG0tDQqKioeyhz2ygoXk3BwcJCGhgbq6+sxm80ADAwMMD4+js1m8zuTunLAQ0JCpl1s4vYRFBREc3Mzr7/+Omazmb/6q78iNTVVmmR9ebO634NBCK8AVVVV/PVf/zX5+flkZGQQHx8vNyRfFGDtdjtWqxXgDjO70PT5ixlPXBIcDgdXrlzh1KlT3Lx5E4fDgdFopLq6Wgo+Si3mjRs35GeoVCo5n4ULgVarZXx8nKqqKhITE9m6deuMC6/Kvo2MjHD16lWOHj3KpUuXcDqdJCcn43A4OHXqFHV1dcTExBAVFUV7ezsqlYrVq1eza9cuNmzYQE5Ojk+PqVIAsNls1NXV8dlnn3Hw4EGuX7+OSqVy06yCS5vX0NBAZ2cnfX192O12tm7dKjV8wqXHl1GamJVZFZT7RnBwsLwo+5uQI1Cul6mpKdLS0sjIyKCsrExe9sE/NZLKPaG1tZXf/e53vPnmm/LcB9BoNOTk5DB37ly2bdvG9u3b3QRYf0GsqaCgIEZHRzl06BAff/wxJ06cwOFw0NjYyPDwsLebeU+EhlXgcDgwmUxMTU0xNTVFY2MjJ0+e5MCBA9y6dUu+Tjk3jx49SlJSElqtlvLycrlPe77u2zKju5anG4DJZGJkZASTySRfIyb5dJHBvohSe9jc3MzZs2cJDw9n3bp1REdHu5meAamhdDgcXL16lZqaGtRqNYODg97sxn3hefs1Go2EhYXJSe75vFqtxm6309PTw/Hjx2loaCAmJkZuWL4mtIqxHB0d5ciRI+zduxeTycSCBQuYO3cuWq0Wu91OdHQ0hYWFJCQk3PWzHA6HFPK8JRwoXRz6+/uprq5m//79VFVVMTo6SmhoKGazmdbWVrf3TLf2ioqKyM/Px26309DQQEdHxx1zQfiozSRTU1O0t7dz7tw5jh07xrlz5+js7GRqaorIyEjS0tKIj48nMjKSzMxMgoKCSE1NJS8vj+7ubk6dOsW1a9eoqanhxRdfZPny5URFRfmkVUCYF4OCgpiYmGDPnj28/fbbdHZ24nQ6ycrKYtOmTcyZM4eWlhZOnDhBXV0d4PJnPnbsGLm5uaxYsQKNRnPXiG9fwfO8GB4e5uDBgxw5coS+vj7CwsKkH15+fj5bt25l9erVfiWYKxHCq81m48yZM+zfv5/CwkIiIiIA7juewhdRqVRMTk7S1tbGoUOHOH36tJvgCmA2m2loaJDm6J6eHp5++mnmz58vrXzge+eGJ8rgpbGxMU6dOkVVVZVcawkJCYSHh8vX+1p/lHuf0+lkcnISo9HI6dOn+eyzz+js7CQoKIiuri56e3vd3itiIQB6e3vZvXs38fHxpKWlkZaW9kDbOeOrQPnFTE1N3XHo3Utr6YuI/jidTm7cuME777yDVqslJSWFZcuW3fFasUF1d3dz8+ZNjEYjCQkJMujEl/O/KcftypUrXLt2jbS0NJYvX45Op5PPW61WqQWyWq18/vnnHDp0CICCggLpxO0rm5Hye7dYLJw5c4Y33niDAwcOAHDy5EkWL15MeHg4NpuN+Ph4SktLKSwsJDo6muDgYCIiIoiLi5PO6zqdzutaPKvVKq0Xly5d4vXXX+fzzz+/43WhoaGkpqYSExNDWFgYwcHBaLVawCUwxMXFsW7dOnJzc7l+/TptbW2YzWa3wycpKUn2V5me6kHjKVQODAxQVVXF7t27OXfuHFarlaysLDIyMoiNjSUmJoaUlBSp6Z+YmCAhIYHs7GxaWlr49a9/zbFjx/j1r3+Nw+EgJiaGsrKyu17IvInSvGixWLh06RJNTU3ExsayaNEilixZwo4dOygsLJRa8+HhYQYHBzGbzYyMjFBbW8u1a9dISkryKfeW6QgKCsJms2G1Wuno6ODLL79k3759XL9+nZCQECIjI7HZbPT09HD69Gmampqw2+1s3rzZZ8bsfhBzWrR5ZGSEK1eucOzYMdra2nj++efJyMhwE+D8BZHpQ61W43A4qKqq4t1336WxsRGNRkN0dLTcK202G+Pj4wwPD3PmzBm6u7tJSkpi/vz5gGs/EwFQvozyQmixWOjq6qK/vx+VSoVWqyUtLY3IyEgvtvDeiP11YmKC8+fP09LSgsVi4dixY7z77rt3vF6r1RITE0NMTAzR0dFEREQwMTFBfX09HR0d7N27l9zcXLZv3+4WwPVd16hXhFfB+Pg4/f39bppX8I/gCc/AHaPRSHt7O1evXgXg8uXLlJSUEBERITWtSl+s/v5+bt26xeTkJKGhoT69MSmFO5vNxsmTJ3nzzTeprq5m0aJF2Gw2Vq1ahU6nA1wLVhmRePLkSa5fv05kZCSlpaXyBuYrgoFIqhwUFMTk5CSVlZWcPn1aPt/e3s7IyIgcI5VKxcGDB9FqtYSEhKBWqykuLqasrIykpCTi4+MpLy8nJSXFa31SZr4AaGlpobKyUv4uXANCQ0MpKytj48aNcmxiY2PR6XQ4HA7Gx8fR6XSkp6fT2dlJS0uLdKcQJCYmkpOTMyPaBM/8rcPDw3R3dxMcHMzGjRtZuXIlixYtIjY2Vro6hIaGSm2cmHNarZYlS5aQlpaGVqvl4MGDHDhwgHnz5jFv3jwiIiLkwetL7kvKfUdcFhITE9m1axe7du2SQT0JCQlSMP3yyy9pbGwEXJfms2fPkpGRQX5+vswgAd6/RHridDoZHBzk3LlzfP7559TU1BAeHs5PfvITVqxYIS/MV69e5b/9t//GZ599Rnh4OPHx8T57AbkfnE4n4eHhaDQaRkZGuHTpEgsWLCA5ORnwz4Atp9PJwMAAdXV1nD17FofDQUJCAsuWLaO8vJysrCzGxsZobm6Wrj+tra00NDS4uQb50zjCV8o4UfDFbDZjNBrv2EN9AeX3OzQ0xNGjR3n77be5ePEiWq32Dk05uPpXUlLChg0bWLt2LTk5OQwODnLgwAFGRkYYHR2lsbGRyspKFi5cKIXXB7GvzrjbgNKfc3R0lI6ODkZHR+VrxOBOTU35dFURT3eArq4u6uvr6e3tJTIykvHxcSYnJ6XJR5m+Rry+qanJzRR4r1xp3kTppytM6h999BEmk4ng4GDq6+uZP3++FF6V2uOLFy9SW1sLQFlZGYsWLZKv88WxFRtlTEwMoaGhOJ1OxsbGGB8fd3vd0NCQ2+/CdzsuLo6YmBguXLjA8uXLmTNnDsnJyXIezBSe361Wq2XevHnExMSwfv16eZhERkZSVFTEwoULmTNnzl01AlarlZqaGhnQJcjIyODpp5/miSeekOP6MC9inv2KioqitLSU5ORk8vLyWLly5X3NK6vVikajYePGjQwPD3Pr1i3q6+upqanBbDa7rVtfQvRNqR0fGxsjISFBCq6Tk5OEh4dTUVEhBfDe3l5GR0cxm8309PS47bm+JLyKizK4LsFCcG1paaGgoIC1a9eyc+dOYmJi5HsWLlzIlStXuHnzJk1NTVy/fp3S0lK0Wq28xPmy0KM00QYFBclUSvHx8dhsNulrKPBFl5bpmJqaIjQ0VLrF7dmzh+PHj8s1lZiYyKZNm9i8eTPx8fGMj48zMDDAlStXsFgsnDhxgsbGRurq6igtLZXnpK+jbKO4aKhUKqmk85R5fEVppVwnDQ0NfPDBB+zdu1cK2qGhoWi1WsLCwkhPT6eoqIiioiLy8vIoLi5m2bJlqNVqBgYGeP/992Wgb1xc3EOxQs6opOR5W9RoNERFRblJ4GNjY7S1tTE8PCw1Ob60uQo8hdebN29y/vx5zGYzubm5pKamysNc+R5Bb28vLS0tADLQwNcOSoGyXQ6Hg9bWVrkQxSGifE1YWBhBQUH09PRw8uRJOjs7SUpKYsuWLZSWlsrX+YrJUilsa7VaHnvsMS5fvsyJEyeYmJiQwSD3ui1bLBbq6urkHD927BiHDh1i/fr1bN++ncceewy1Wn3HvHmYKC9CJSUl/PznP2fevHlUVFQALmuBWq2Wl8S7ra/29nY+++wzPvjgA6qrq+UNPCUlhW3btvEnf/InclxFkN7DWqvKzw0KCiIrK4vk5GTMZvN9/13PdRYZGUliYiL19fV3lML1lYPFEyGUgmsftVgsbs8JAXbFihXU19fz5ZdfMjo6Kquoedul5W4ogzitVis9PT3Y7XYef/xxNm7cSElJCcHBwW45QC0WC8XFxSxdulSanr3hf/1t8RRG7XY7JpMJo9GITqcjNjbWp30k74bSbenGjRv89re/5eLFi6jVanJycti8eTNbtmyhoKAAgIiICHJyckhJSeHatWucO3eO5uZmamtrycrKIioqCvB9Tbpn4QVlukWHw8Hk5KTbZcRXULolNTc3U1VVhdVqlcK3aHN0dDQrVqzgpz/9KUuWLAFcikhxng8ODnLt2jUmJiYAWLRoEZs2bZLZFYAHkl1hxoVX5YEqbtKXLl2SEWtDQ0NcuHCBRYsWybyRytu4r+BZOePWrVtcu3YNgJycHPLz86XwKiav56EoNlgR3KOsCuRLKNsdFhbmdvgnJyeTlpbmtrkqc1COjIxIP8SSkhKfzKjgGWSWl5dHcnKyXHwhISHodDosFos0RSvThlitVkwmk5sAMTQ0JKP6g4KCyM/PJyEhQfZ9poXXgoICMjIySExMlI95Xq4AadISl5KTJ0/y+9//XprxhOCanp7Orl27eOWVV9wuJDN1qCgPfGVJQuU6gq/WksPhkIKpGE9waUEOHTrE5cuXSUlJYdGiRfK9FovFp9aip+AeFxdHRUUFGzduZOHChfLiEBIScsdFa3JyEnDNZeGmpPwsXxHSlRfJ0NBQHnvsMfLz88nOziY3N1e+bmxsDLvdTkJCgvSdFNkvhFAv8JW+3Q2lz6vT6aSrq4tbt25hNpuJioqSQWn+hnDVGR4eprq6mubmZvnczp07ee2116TgCl8pM5KSkkhISECtVmM2m5mamvJZxc7XIQKa7Xa7W8DWdHuvryHWTWRkJE6nU+4pYWFhJCUluQVgRUZGyj1F+MAKhFtBbGys9Ft+EGe/V2zUwscwLi6OxYsXu0Vtj4+P09LSwsDAgHzMV1MqKdujjCoXmyl8JaR6DlZ8fDw5OTl0d3czNjZGV1cXo6Oj0kdWvNcX+qy8JdXV1bmZ0CMiIsjPzyc2NvaOKkVhYWHodDqZ3N5X/bQ8hQKdTkdmZiY5OTm0trbidDrvy09J6UcaHh7OyMgIPT09XLp0yS0wb6YOU2W/IiIiiIiIcCudKl6jTC+kvIQMDg7yxRdf8Mknn9Db2ysvn2lpaWzfvp1XX31VCnsWi0Xm4ZzJvimzIwgN+f3c6m02GxMTE1RXV1NZWcnk5CTf//73eemll6SAr9FofOrQVH63YWFhLF++nEWLFrFx40YyMjLkcyI/qPK1CQkJ9PT0YLVa7xAGfEm4E/PQ6XQSFhbG4sWL5XPKuIGYmBjZh6mpKVpbW+nt7SUrK4vc3Fw5B5T7ka8i5rC4RPT29tLT04PT6Sqp3dvby9jYmPR59ZVz4W6I805oxc+dO8fVq1fl/NXpdKxZs4bCwkLAdRGJiopyC/gVYy0uW76i6LgflGMjXCDFpT86OpqCggI3mcdXxlLZjqSkJHJzc2lvb2dsbMztdaOjozQ3N9PZ2SkVjOPj49I62dDQ4CYLxcbGygqMD7JqmtfyvAoH7P7+fqkVgK/8Yn0dT0EsNTWVnJwcenp6mJycdNOiin/KAUtPT6e0tJS6ujoGBgaor6+nu7tbTgbxHXhzYos2iNJvX375JR988IFMvwMuzWtOTo702fXMsyjaPz4+LjfhqKgot2TH3l68nsJrTEwMGzZsIDo6mhMnTnDx4kWZ1P9eiD55Hpa+JLQr15fSpCUQ7bx06RIff/wxu3fvpq+vD/gqK8EzzzzDq6++ysKFCwG8rkUXwpdyLon1N92ld3JykgsXLnD+/HmOHz9Of38/y5YtY9euXcyZM8fttcHBwUxNTfmEv50yBiA8PJwNGzYQHBx8R8o2pYXL4XCwZMkSnnzySXp6ehgbG5MXLH9EqQwICQmRAaEnTpzAbrezadMmNm7cKKPX76cMqa/hmapIFGnwF5SXIbvdzsjICL29vVJ7vGjRojuEN/Eeq9XKyMiI1KwLFxF/6r+Yb06nU16qBGlpaRQXF7sVRfGVy5WyHcIKJQrRmM1mwsLCcDqdjIyMcPz4cb7//e/L13d3d9PQ0MDx48c5deoUTU1N0q1LqYV9kErIGQ/YUh6WTU1NnDhxgq6uLrfXhYeH+6xP1t0wmUzydqX0jxRaDmW0pMPhICwsjJiYGLRaLYODg/T29rppNL9LqcsHidhUBgcHOXz4MB988AEmkwmNRsPcuXOZN2/eXevaC3OX0HL19fUxPj4ufZd8SeMjCAoKIjo6miVLljB37lxKSkqoqqqivb1djpPwHVSr1dhsNgYHBxkeHpbjL/wvBb5gohV/824VisThMDk5SX19PR9//DEfffSRNPXFxMRQVFTEhg0beOGFF6TgarFY7tD0zSSel0KxxpSPWSwWuru76erqYmhoiPb2ds6ePcupU6dkSqnY2FhOnDhBf38/FouFiIgISktLyc/Pl4Ket92XlC4QISEhbuVCp6sqJdpbVFTEsmXL+OSTT2hra/N6P+4HTy2cqNCj9HcFV/WimpoampqaSEpKYvHixdJcLdx8/A1hwXA4HISHh5Oenu4mAPjCuXAvPPe3sbExqcHLysqSqRUFIkZC7E11dXVcuHABi8VCXFwcUVFRbuPo6/0X+73RaGRoaIiRkRH5XGFhocyG4vl6b6PcE1JTU9m8eTPR0dGcOXOGs2fPMjo6Kr/7zs5Ozpw5w+bNm+V8PXv2LB9++KEM1Jo7dy67du2irKxMfq6I+3gQzPjKVvr7CYHGU/Nqt9t9UrC5GwMDA5w9e5ba2lqCg4MpKCiQaZKEH5NS+yYeE5VihGnE1xaoaLPT6ZQlQ0WgVkZGBhs3bmTRokWyrZ45aoXJTpkuxFcW6t0Q0b4iXc3jjz/O8uXLGR4epre3l4GBATlfp6amaG5u5tSpU1y4cEEK6p7aZ6Vp21vz+n6E5tHRUc6fP8/u3btlmT9w+TAVFRXx4osv8uKLL0pfJ1Gy01fwtNiIHKc9PT2cPXuWI0eOcO3aNXnRUKZ+uXr1Kk1NTfIgTUxMZMOGDbz66qssX74c8J3Llucaups2QxxG4+Pj9PX1YTabpfbWH6xbMH1CfqWm32q1ytR8Op1uWiuCPyH2XJHfNiEhgXnz5pGcnDyjwZ7fBeEaJYLubt26JS+JOTk5lJSUyIsXuM/nxsZGDhw4QGVlJU6nkzlz5lBUVERERMQdbmm+huc5L4LulJettLQ0CgsL3bK6+MpFUvm9xsfHs2HDBkpLS8nNzWVqaorTp0+7WR8//PBDYmJiePXVVzGZTHR2dkoFXExMDFu2bOHHP/4x2dnZ0l3tQVqwZlx4VQ5UZmYm5eXlnD59mra2Nvm41Wr1aQd1EfQREhLC2NgYR48e5eTJk4DrxjJv3jy5OIXA5mk6VpoAxYJULnrxuLcRG6nFYnFbhHFxcZSWlpKRkSHNO6L9oaGhcrKK5+Li4pgzZ46btshXNyElarVaJmAWuQjFrfny5ctcvnyZ/v5+qSESQqIQcKOiosjPz5e+pN4cU8+/PTU1JX0LQ0JCuHbtGh9//DGVlZUyL2h2djarVq1i7dq1PP7441JwFZuYL2y8Sp9XcGm+L168yJkzZ2hsbGRsbAyj0ciNGzdkhg+ApUuXMm/ePKKiohgcHKSuro6bN28yPj7OyMgI7e3t9PX18cMf/pANGzYQFRUlL5y+YHa32WzyYqgcW8+AyJqaGg4ePEh3dzeJiYkyxZbAlwK2PJluvXjuozqdDq1WK4Wle73XHxB7Lrj8Q0VBCaHU8Yd9UzA2NkZraytGoxGArKwsGbwKLgFPq9VitVo5duwY77//PsePH5fjmJycLF15pnNL8yWUsTkOh4P6+nouXrwoA3/hq+pbSqWWLyKykmRlZfH4448zODiI0+nk+vXrGI1GJiYmaGpq4ve//720sF66dInR0VE0Gg3FxcUsWrSI7Oxs+XkPWqab8WwD4Do0ha/WunXrZHUccEns6enp0rQs3udLgyxyswL09PRQU1MjS6ZlZmaiVqsZGxtDq9XS2toqhRtwabGCg4NlOjAxoGJT8jyEvI1ol2cgTGxsLEVFRW6Js5UmAVEJRfQpOjqa1NRUmRTd15K/e+I5DuJ3MS+NRiNHjx7ls88+o7GxUQquYWFhWCwWqTXZsWMHTzzxhAzg86ViFErzel9fH1988QWff/65vEhGR0fz+OOP8+Mf/5glS5bI8VeWAPQFlKn0bDYblZWVvPXWW3zxxRcyH29ycjKRkZEyf+v69evZtWsX69atIysri/HxcS5cuMDZs2e5dOkSra2t3Lx5k/379zMxMUF0dDTr169HpVL5zMX6biZxZbALuApUXLhwQebdtFqtblpnX5mP94uyvTabDaPRiNlsJigoyG1e+lu/pkPpFuMv/VFq95uamujs7ARcfcnJyZHCqMVicUvN9Oabb/LOO+8ALqVBWloa2dnZPmXduRfCmhESEoLdbufatWtcuHDBTXhVao59SabxRKlcSk1NZcuWLcTExFBVVcWpU6eor68HXJryX//619hsNllmPDQ0lAULFlBQUCD3HHjwZY297hCk0WjcNAGZmZmsXbvWLXDCl/2WHA4HU1NT0r8qKChIHn7CLaK3t5fJyUlUKhUajUamAGltbWV8fFz2XzmZfUkzKTZQ5SYiNIrK1yh/AjJtD7i0YcqoRV/p2/0gxlcIrk1NTfzLv/wLf/jDH2hpaZGbllLj5XA4WLBgAS+88AJr166VG5ovlP8VaVvEwVFbW8t7770nBVeHw0FycjJPPfUU3/ve99wEV5H3z5fGT5ma7dy5c7z11lu8//77bq/p7e2lt7eXwsJCNm3axHPPPcfSpUulMBsZGcnatWspLCxky5YtTExMUFNTw7vvvsuNGzf47LPPSE9Pp7CwUGbPmM7P1Fsos3l4+gF77isTExN3VDX0J5T5KHt7e7l8+TJjY2MkJiZOm7LPH/H2HvFtUPrVA7S2tnLx4kWZOUi4doh9VAQWGo1G9u7dKxVY4Eon9fjjj7tlm/AFK883Qbi0iPMhNjaW7Oxs0tLSpCbSF86D6RCafmFhFukjFy5cSEpKCh999BGNjY2YTCaamprc3ltSUsLWrVspLy+XGSdE2fEHiVd2XqUmVeQBFcTFxTF37lyf9vFR3oBFjk9xqI+NjXHy5Elu3rx5RxWmu2G1Wuns7KSpqYmysjLCw8N9KjWYw+HAYrG43SDBNXaiMorNZpM5YMXhPjIywuTkJDabjbGxMbq7u5mYmCAiIsKnsg18HSJXH7jMXHv27OGXv/wlY2NjsvSouGyYzWaCg4NZsGABTz/9NCtWrJB99XagjPiulZHajY2NvPfee/z2t7+lu7sbcK3BJ554gh/+8IeyaorwN/MljSvc6UPf2tpKT0+PTMSfmJgoBc2UlBQqKip49tlnWb16NYB0iVGr1TKbQmpqKuCKinY6nbz55pt8+eWXJCQk8Oqrr0rXCW/NW7EvKq01yj1SuOsIc6zyANVqteTl5bmVLvb19adEmR8bXAJSVVUVQUFBFBUVuQXC+Juwo0ScMcrKjL7s3gF3FhMaGxuTQbrgmpctLS00NjYyf/58QkNDMZlM7N69m88++4yRkRHZR2GVnTdvnryY+fp4esZ7iPSE4nEhvIrgO2VZcl9D+X0HBQURHh5OeHg4iYmJpKamkpGRgcFg4PLlywAyeDkrK4tVq1ZRVlYmNa4Py7/e62oDz8ETCfuFEOSLi1W5efb09FBbW8vw8DBhYWF0dnbeEQySnZ1NbGwsAwMD9Pf3S19DQAo858+flwfnihUrpEO3rwh3DofDrU+tra288847zJ07V2pklTdvh8PB4OAgLS0tmEwmoqOjmZiYkCVzfaFP94Myhcv169f58ssv2bNnj9QiCxOyMuBOCH9PPfWUdBeAB1NV5Lug/M5NJhOnTp3igw8+4MSJEzKdS2xsLC+88ALf//73KS8vl232xUukJ2q1muzsbLZv3878+fMJCQkhKiqKuLg4cnNzmTNnDgkJCW5jIlxipjsYw8PDWbx4MVVVVRw8eJAPPviAqKgonnvuOSnAeiN/8dcJMWKcTCYTV65c4fz589IVpLi4mCeeeIKsrCyZeNyX3Xc88RTUm5ub6evro6SkhOLiYrex9XVh5254nof+ElznuQ7i4+NJS0uT88vpdHLs2DESExNJSUkhJiaGX/3qV/zqV7+SqZWUZ4gyYFh8vr+gTHWm7JOvWGq+DcLHPj09nZdffpljx45J4RVcfY2JiSE1NdVtT3lY4+b1b1KURhUoq00pg5p8Bc88tP39/Vy5cgVw+fCIKks5OTkUFRVRXFxMSUkJkZGRDA0NYbVaGRoa4vPPP6e6ulp+ltlspra2lkuXLlFcXCyFV2/m0FQuutTUVObOncvRo0cZGRnh3LlzDAwMkJOTQ3R0tDQzgPvCvXHjhhR6RYJ0z8/3RZTBMDabjWPHjvHxxx9TXV1NV1eX1GqJw1T0UavVsmPHDp5++mlycnKArxL4e1NTp6wG19PTw7Fjx/j000+prKykp6cHcCWm3r59O9///vepqKiQPszCvOeLKPeOiIgI5s+fT3p6OhMTEzLPZ1xcnAwcECgrvSg3WqvVKoU6tVrN4sWLWb9+PceOHePKlStcvHiRtWvXugmv3lifyn4Ly4cQxIXpvLe3l71793Lw4EHAVUt+5cqVFBUVAf6TU1sgtOxarRabzUZNTQ319fUkJydTXl5OXl4eGo3GrWKVvyHOP+GmpbxsKQUhX0Tsb2LdZWZmUlZWRnZ2tgwAbWlp4ZNPPgFc8S1/+MMfqK2tBVzBaREREUxMTHD16lU+/PBDMjIyWLduHeC+Zn0RpaJJWBuVpYo9rQb+hHA1U6lUWK1WTp065RZkHxYWJi3IjY2NjI+PSwuWmA8PGq+fSNNVHPJVVfp0qNVqtFotRqOR4OBgQkNDyczM5IknnuCJJ56QFcSUprxbt27R0tJCdXU14NLaiSocPT09MjITvJ8AXpCVlcW2bdvo7+/n008/pb+/n5aWFrq6utwWpIiIFf69wtUgIiKCyMjIO25kvroZK+fghQsX+Jd/+Re56Wo0GpkWy/PytW7dOl577TXpqyWi+b2JED5tNhtdXV0cOnSIt956i5qaGnnZioyMZMeOHbz22mt3aFz9aS3Gx8cTHx/vNq+ma//dtODicbvdTmhoKKGhoTz++OOcOHGCyspKRkZG3PI2erP6n9FopK2tjZaWFoxGI2FhYcTGxrJ48WIiIiK4ceMGX3zxBR0dHURHR/Pcc8+xfPlyeZiI/cpfsFqtci0NDAzwxRdfcPPmTRYuXMjKlStlJhN/mrPgXmELkAFosbGxZGZmysh8XxdeBcqsOfPmzWPZsmVcu3aNzs5OacH6+7//+zvOtYKCArKysrh69SrNzc384Q9/YNGiRVJ4FfPWF87Dr2NqaoqxsTFZFAT8S3OsRARYi7X3+9//nr//+7+XSjv4ygI5MDDAl19+yfbt22UFtYeF14VXz+ohk5OTMmF/fHy8zw24pxYqKyuLrVu3UlNTQ0JCAmVlZZSXlzN//nwKCwulFkS54IaHh90KEuh0OpKTk4mOjsZsNkuBAryrnfQ0Ay1ZsgSVSkVGRgZVVVV0dXXR29vL4OCg2yEuTD5KH9nMzEwWLlwoDxixEfna+MJXAonT6eTw4cP88pe/ZP/+/fJ5i8XilsfQarWSnZ3N5s2beeGFF1iyZIlMF+ZN7Y/nId7Z2cl7773Hu+++y+XLl+XcWrx4MU8//TRPPPEE8+fPl0nev037HQ6HTCdls9lk6rSZEOCV5kXPeSXGKSQk5I4Lx3SI7wBgzpw5/PznP8dut3P58mWuXr3q5jM7U1ppcYgMDg7S1NREXV0ddXV1tLW1YTKZCAsLkzEDKSkpXLx4UQZTzJkzh7Vr17Jw4UKCgoJkFLA/aSeVWuKJiQnq6+sZHx+noqKC+fPnS39XT2HQ1xEacJEGqr29XaZ0i4+PvyO1ma+jvMzFxMSwbt06mbljdHRU9lcZ67Jo0SJeeeUViouL+fLLL3n99deZmpri3LlznD9/nscee4zQ0FC/GVO73c7k5CQmk8mvhVexh4v9u76+nn379knBVWTXEYV5rFYrN27cYPfu3aSlpbFw4cLvdJ7cC68Jr+Kg8bz5Dw8P09DQwIIFC4iPjwe+yu/mK4OvPKzmzJnDD37wAxYtWkRkZCSrV69m7ty58nkhnIvBb21t5dixY24q9+zsbJYuXUpMTAxpaWlum5Uv5AVVpoFavnw5GRkZLFu2jIaGBlpbWxkeHpZaVKF1dTqddHV1cfbsWRnYJcyVYuPyNVO0cpMxmUycP3+ef/mXf+Gjjz4CkK4C4pYZFhYmA7RWr17Nv//3/15myRBmZ1/AarXS2trKgQMHePvtt7l69SrgEtCSkpJ45pln+NM//VNiY2PvOEi/DqU2SJhqvaXNU85XMWfFvuGZ6u1+PsvpdGI0GomIiGDZsmUkJSVRV1fnpnGYyYIqIkNJTU0NlZWVVFVV0dTUdEfZ4pSUFCIiIrBarUxMTKBSqUhOTiY9Pd3NHcnfEX0ICwsjMjLS71JKCZTtNZvNNDY2cuvWLVJTU/0ysE5ZHhVg4cKFPPnkk4yNjXHq1CkZ6OpwONBoNBQVFfHCCy/w/PPPk5mZSWRkJG1tbezbt49r167x6aefSr918K299W5YrVbGx8cZGxuTLj3gf3NTmQ3h0qVLvP/++9TV1cm87haLheTkZPLy8oiKiqK5uZkbN25w4MABcnJyyMvLIyYm5qGkx/SK9KC8FXv6Ag4PD3Pjxg2ZXgOQkc6+sniVWtS4uDhWrlzJggULUKlUd9QZ9/Qrs1gsjI2NSd9PjUbD0qVL+dnPfkZWVhaTk5NuQQe+IOB5fu8ZGRnExsayaNEiJicnpe+nOMiFWb2xsZHf/e537N+/X+b2FfjiIhYCtcPh4PTp0/zTP/0TBw4cAKZ3cbBYLGg0GgoLC1myZAmZmZmA930JlVpwq9XK1atX+fjjj/n4449paGgAXBqR3Nxc1q5dy6ZNm9y0Vt/khiz8Q4U/1N0OlYc53p5J+bu7u+nv7yc5OVke/t9GEycubCI597Vr14CZDQRSZqgYHBzk+PHj7Nmzh+rqaoaHh6d9j/BhFnNZaL6VJTn9XXhVq9VoNBrpk64U4H1xb7kXyrOtr6+PmzdvMjk5SV5eHnl5eXIt+lKO6PtBzN2EhARWrlzJ6Ogok5OTVFZWYjabyc7O5qWXXmLTpk0UFhaSmJgIuIIKlyxZwokTJ7h16xYXL17k6aeflsKrMlWarzI1NcXg4KBMSSfOcX9Zd55pvK5evcrvf/97PvjgAwYHBwkNDcVsNhMVFcVPf/pTdu7cyejoKB999BEDAwN0d3dz/fp1uru7ZXaFBy2/eUUyEjWqAam5EwwODtLY2Cg3YF8nODiYyMhIt3JvolyhOMyVCy0mJobY2Fg5mdPS0li8eDGPPfaYfM3X+evNNMoALCHY6HQ6t8NwOrRaLUeOHEGlUjE6Okpvb6/8nnzJXCkWqtCONzc3s3//fg4cOIDZbJaFJYQvskiNNTU1RXR0NNu3b2fjxo1uvl7e9HMVlgpwCTKfffYZ77//vjQhazQaSkpK2Lx5M5s3b2bu3LlumkrxXuVGKy4myrkp/M+UfZ2YmGBoaIixsTH6+/sxGo3k5+dTXFz8UPss2jwwMMCBAwfo7u5m+/btbkED93vgOZ1OOe5qtZquri7efvttrl+/zty5c1m2bJl87YMsdzgdSqG8r6+P6upqTp48ycTEBJmZmZSUlJCSkoJWq2ViYoK6ujpaW1uZnJyUF0q1Wk1YWJibRcdfDtG7MTw8THt7OxaLhcTExDsySPgTSuFVHPwOh4PExEQSEhLcktr7k/AKX50dKpVKKjoEsbGxPPXUU7L88uTkpEw9GBUVJd0Ju7q67npR81VE8QyBv81JIZ+Mj49TW1vLnj172LdvnyxEAK5c78888wyvvPKK9G/t6uqipqZGBlMePXqU6Oho0tLSHngcxYwKr55JjPv6+rh69Sr9/f3yNRMTE/T09NDb2+umQfIFIe5+8TzQlNoTUd1G3MhSU1OJjY11M4X4SpCWJ980gvfWrVuyNKDRaKSzs5P8/Hyfi15Xzq/e3l4OHz5MdXW13DxF5gGBMshw3rx5bNu2jXnz5gFflTv0JmKM7HY7tbW1HDhwwC2RtEajYd26dXz/+98nJyfnrkKd0tQltD6i39MdokNDQ5w8eZIzZ87Q1NTEpUuXsFqt/Omf/ulDE16Va2tgYICDBw+yd+9etFotGzdudHvd/QqvnvP8zJkz7NmzB41Gg16vZ/PmzfK5h+2Hp/yeBwYGZPGTiIgItm3bxnPPPcf8+fNJSEigvb2dN998kw8++MDtkBFCj78LrMox6ejoYGhoiMTERBYvXkx6errf5AO9F8q5NzU1JX0O/en8E0xNTcl9vr29nd27d3Py5ElpoSwvL5eugXBneikxjpOTk4yOjsrX+YMg6M/ZLsR373Q6OXHiBG+++SaVlZVuYwCwc+dO/uRP/oS8vDz52Lx586ioqJAFKnbv3k1OTo7MzqLM4vNd8aoEoSwhKhDBFMJ8kpmZ6fOTQJmLz7M/cOcBe/XqVbq7u6VWdmpqSroLCHcCX92APf0KhUZOVNJwOp1ERkZis9loaWmhoaFBJkrv7e29o0iBNxHCqWjLyZMn2b17N6dPn6a1tZXQ0FA3k6QQSsXFo6KigldeecWtCow3zVnKw9vhcHDhwgUOHTrE9evXAZeLTkpKCitWrODxxx+noKAAQOYdVga6KN157rXZtLW1SR+9mzdvcv78eennHBoayrp16+TfeRgIrTm4skL84Q9/ICQkhK1bt36jKn3C/QGQZvaJiQkuX77Mhx9+SF1dHVu2bGHHjh0kJSVJoWKmxtvhcDA0NERHRwfgKt27dOlSNm7cKPebmJgYaa5UBn1OTU3R1tZGa2srpaWlgPdzDn8TPK0Z3d3dDA8PU1FRQXFxMQsXLpSv9dWL/71QXlDi4+NJTU2Ve40/u0MoL0uTk5PSZUmtVvPSSy+xa9cukpOTmZqakiZqu90uKxqK/TkyMtKtcpq/fA++7ib3dXR3d/Pll1/y2WefyVSQIsizvLycbdu2sWjRIhwOB729vWi1WrKzs1mzZg1nzpyhp6eHs2fPcuPGDbZs2SL9ZB+UPDejwqvyZiUqUCQkJLhNTHFodnZ2cv36dSIjI0lMTPTpm+e9gls8c7sNDAxQV1fH2NgYWq2WsLAwN9OrEJh8HdFnpVAQHBws+yrK/gnf5cnJSXp6ehgaGpJFCrydfFrpQ1ZfX8+vf/1rfvOb3wCueahM+2W3292yDMybN48f/vCHPP/88+h0OilEeVOjLNwFRCnaEydO8OWXX0ph2263s2HDBvR6PYsWLZLvu5sTvRCGxf+Fb7NarcZisVBfX8/evXvZu3cvN27ckLkAJycnSUpK4vnnn+ff/Jt/4xbA+DD7furUKc6dO8cf//Ef86Mf/QhwWXLCw8Pva1yU30N3dzcnTpzgD3/4A0ePHiUlJYVVq1aRkZEBzFzaIvE37HY7w8PDMtDTbrcTFRUl953GxkYOHTrEvn375JqLiYnBZDJhsVioq6vj8OHDZGVlMW/ePDcfPH9QDghNlt1up6GhgZGREdasWUN5ebn0lfTlM+JeKOdReHg4ERERaLVavxPC74VarSYiIoKBgQFUKhXr16+noqICcJmmlQF3oqKhGE+tVuvmFuIvFgTPdvq6AKssRDMxMUFtbS0XL150K07kdDpZu3YtP/vZz1i/fr3cM2NjY+X/169fz5UrV7h27Rqjo6O0tLQwPDwss0c9qHXqtfKw4PINNRqNbrdLq9XKwMAAjY2NtLS0sGjRIjmpZzItzcNEWZUpOzubzMzMO4RAf0U5MW02m9Qki7x3yoXgbYKCgjCbzVy5coU9e/ZQWVkpnxPaSJVKJdOBiHErLy/npz/9KU8//TQRERGAb2xMYrMUmtempibq6+vl8yEhISxYsIDy8nL5+rvNtcHBQZqbm6Vl4MqVKzQ2Nsp+jo6OcuvWLaqrq2Xe08zMTPLz88nJyaGsrIxNmzbJDBMPGnGJEHtDT08PLS0tDA0NuR10QuC+F56ZL65du8Yf/vAHPvnkE65cuUJ2djbf//73ee655+TrvFH9T5lGz+Fw0NPTw82bN2XO008++URmkli5ciXl5eUMDQ1RWVlJR0cHn376KSkpKURHR99RtMGXUX7PTqeTjo4OGhsbZ8VZAO6ppXp7e+nq6mJ8fPyOAhr+5vOqHB9RkVCg9JMX1i2lT6TFYpHv12g0fjnWnvuOr+fpVVothoeHaWxspK+vz+01Op1Oal2V6QSV8zQ6Oppdu3bJQhP19fW0trYSHx/vFgT2XfHqjBCaKk9/QhF4cOXKlTv81vx9Eovk/eDqvyhbKQ5Df/PvVeK5OMPDw4mOjmZ0dJSYmBhycnKklgS8sxkrBbaRkRGqqqrYvXs3R44cobe3V0aXi7EQfmdarVaa9F566SVeeuklIiIipA+PL5hhld+/w+GQJmZAViZSzq3BwUGZGWJ0dBSLxUJQUBBGo1HenK1WK0ajkerqalkJB1yalNDQUEJCQsjOzmbx4sVUVFTICOl58+bJz1amintQeK6RkJAQYmNj0el0tLe3u5map6amZLUw8T0p15nYg6xWKxcvXuS9997j448/pq2tjaKiIl5++WV+8IMfyGjnmcxRLP5GSEgIMTExpKen09nZic1mo7q6msnJSQYHBzly5AgXL14EYNmyZfzoRz9i9erVdHR0YLVaee+992htbeX48eOUlZWRkJAgx8TXL8vKNWs2m6mrq6OqqgqNRiPzaPp6H+6FONNEOd/m5mZUKhW5ubmkpaW5ue/4Uz+FQDMwMEBzc7O0AAFuAVihoaEyR2hXVxcXLlzgxIkTdHd3ywpbIvAS/MvlRSDiPHz5bFe2TeSMjoqKuuM1HR0dnDhxgjlz5tyRwlRYICcnJ0lMTEStVtPc3ExtbS25ubnExcUBD8bi4xVJUOQ9i4iIoKSkhJycHKqqqlwNul1+bHh4mNraWjo7O6XZ0ZdvLXfDc7JOTEzI5P0hISGEh4e7JfF9kDeTmcZT8E5KSiIrK4u2tjZSUlJYunSpzCU6NTXl1ZKpZrOZqqoqfvnLX3LkyBFMJpM0S04nbOXn57Njxw6WLVvGokWLpMbVlw8TpfuJcIOoq6vj4MGDOBwOjEYjarWatrY2ampqpFBkt9sZGxtjdHQUk8mE1Wp105yo1WrKy8vJz8+nsLCQsrIyCgsLiY6ORqPREB4eLm/wDzs/s7jQCrP+tWvXaGho4JNPPmHjxo3Sj9xsNsuLiXCvUGoaurq6qKysZM+ePZw5c4aJiQnWrFnDq6++yvbt292qN82kOVd8d8HBweTk5LBs2TKOHDnCxMQE+/fv59SpU5jNZrq7uwGYP38+u3btYvPmzWRnZxMbG0tZWRlnz56lubmZmzdvcunSJXJycsjOziY0NNTr7jtfhzLYzGg0Ultby/Xr13nuuefIzs5+4L50M4Vnirf+/n5u3LjBxMQEc+bMoaKiQgpt3i4x/U1Q5okWsQ8tLS1uVgNlP8T5d+rUKT744ANqamo4d+4cAFu3buWP//iPiYuLk76x/qLAUsor01US9TXEOnI6nSQlJbF27VoZgAsu2Wx8fJz333+fU6dOMXfuXBkoKQrAiLSmU1NTXLt2DafTSX9/PzU1NSxbtkwKrw8i56vX8ryKgczOzqa8vJza2lpu3bola+TabDYmJibcbmv+sHCnQxk92t3dTW9vL4B0UBeL2t82X088NQPp6ekUFBRQW1vL2NiYvG17bl4zgeeGeunSJf7whz9QWVnJ2NiY1NKJxSfcG2JjY1m2bBlbtmxh48aNzJs3T36Gr0U2K+t+q1Qq1qxZw8WLF+np6ZHr6Pz580xOTgJf5U/u7u7m0qVLd01Ho9VqSU5OJi4ujqysLJYsWSIjvDMzM90SqQuEu8jDLlignG9C0/j+++/zy1/+koiICLZs2SLLvAo8D79r167xm9/8hvfee4/Ozk7mzZvHrl272LRpE48//ri8qIiqVN4iPj6e9PR0tFotIyMjDA0NMTQ0BLjyTVdUVLBjxw7Wr19PVlYW4Jq/FRUV3Lp1i48//pienh6uXLnCli1b5AXNF+eyEuWleHx8nL6+PkJCQigpKZGaIYvFcodlwd8QVeDCw8PJzs52CzhUxk34OkohzW63y9R5Yt15WlDHx8dlVaa3335bVp/csmULL7/8shR4PD/blwkKCpJ7hdh/rFar2zj6Yl9E3IKwqBUUFBAbG8vw8DCRkZEyU1JTUxMdHR2kpKTItJFKxZvZbGZiYkIWSrl169YdZbW/K14RXpUBTmq1mqVLl9LY2Mgnn3wigw0yMzNZuXKl28Hoq5vr1yGqiYjqE2IQbTYb/f39DAwMkJSU5FYhxh83YU/Na1xcHNnZ2Wi1Wq5du8bBgwdJTk4mJydHpuIQ73vYiMUSHBzM5OQkJ0+epLKyUubiE7dFsQAdDgcxMTE8++yzvPbaayxcuJDw8HA5b33x9q9M0aZSqXjhhRewWq28/vrr0nfp2rVrXL582W2sRPWT6SgtLWXhwoXodDrmzJnD+vXrKS4ulrlv73bhmikhT61Wy8wXKSkpbNmyhYMHD3Lo0CEyMjIoKChwS+UCrnXX3d2NTqfDaDTy/vvv84//+I9YLBZKSkr4kz/5E5566ikyMjLc0oV5Q3BVro2IiAiSkpKIjo6WmtbY2Fi5VwrLgLIyYWhoKI899hi9vb2cPn2aixcvcuLECSoqKsjOziY6Otrn9xulmbitrY2YmBgWLVpEenq6F1v1cBAKAF8ej69D2fagoCCZL1kpuN26dYvJyUlsNhuHDx/ms88+4/jx44yPj6NSqdi5cyd//ud/ztKlSwFksQ1/QQSowVfxEyEhIW4yjC+Osed+npmZSXFxMRcvXrxDuWE2m7l165bbY9OlVQwPDycyMvIO/+3viteKFMBXKaRKS0spLi6WWgSdTidTaYgE6p6R7f6AMkXWxMQEly5d4saNG9I1wuFw0NnZSXd3N4WFhfK1/pjuRaCclKGhocTExBAZGUlLSwvnz5/n8ccfJycnB/jKfWQm+qpcTGLRtba2Sn9WoZkUQm5BQQFPPvkkL7zwAkuXLpX9slqtM9bmb4poo/DJzMvL49lnn2ViYoKamhqGhobc/FY9KSwsJCcnh9DQUBITEyktLWXu3LnExsYSHBxMYmKi9PtUYrFY5JwVBUhmcmMWKdtUKhXZ2dmsXr2ay5cv8+mnn9Ld3c2yZcsoKSkhISEBk8lEXV0dFy9elGn5zpw5Q1BQEE8++SSvvfYaK1eudHMTEAFd3jhslHteRkYG27ZtY3x8nISEBOLj4ykvL2fevHkUFhaSnZ3tVixFzFWtVktGRoY8TFtbW/nLv/xLPvvsM37+85+zdetWaU3wpT1WXKqE8Hrx4kW++OILoqKiKCoqkpeW4OBgrxYF+S4otW8iqHViYoKpqSm/iar3RLlO1Go1OTk5JCUlycDs8PBwvvzyS9ra2rDb7Vy4cIHq6mqsViuFhYWsX79e7ruAtEz60xhHRETIxPxCo56bm+vmu+uLllZPC0xOTg7FxcXSdcCT6bTHynmbkZFBaWkpy5Ytc6s+6vd5XsWBFxsbS3FxMUuXLuXq1atSaCgrKwO+Snbsi4N9vwhNl9VqdROUwsPD3TR64rX+iGcqtKioKDIzM0lMTKS5uZlTp05RW1vLypUrZbCWN0wnwcHBaDQaNBoNZrMZh8Mhy01arVY0Gg2rV6/mJz/5CXPnzpU+uiKwwNdRbgz5+fm8+uqrbNiwgfr6elJTUzl//jxOp5OIiAhZnzo1NZV169bJQKuSkhK3/LUCpcAg5rS3DxWlH1xoaChbtmxhYmKCPXv2cPDgQc6ePUtpaSlpaWlMTk7S2NhIR0cHsZnWJCwAAKG1SURBVLGxZGVlkZ6eztatW/nxj3/M/PnzAdeBKYRbb2t8xHceGhpKWVkZKpWKuXPnEh0dzZIlS2T6LnC/MCsLKMTExLBkyRKMRiNDQ0O0trZSVVXFjh073Ipa+LLwev36dQ4fPszU1BR5eXl0d3fT1dV1h4bcn/ZPT0EvPT2dpUuXMnfuXHnZAN8UdO6G5yU6LS2N0tJSSkpKqK6uZmhoiL1797q9R6PRsHDhQrZs2cKTTz7JggULpBDk7f3lflFas8LDw3nsscfYuHEjtbW15OXlsW3bNvLz8+XrfTGAy9N6mpOTw6pVq2hsbKS2thadTodGo5EXiunaHxISQkREBNnZ2ZSUlLBw4UJZSEX5mu+KV3cq5Ua5ZMkS/uEf/oGJiQlSU1PdEpv7q+Cq1DBHRkaycuVKzp8/z759+wBXda0VK1awYMECaVZRls71V0TaE51Ox8KFCykoKJCb1tmzZ9m+fTu5ubn3NDs/aJSLTKfTkZWVRU5ODjdu3MBisaDRaMjKyiI5OZnk5GTWrFkjNcTKIhT+gGcwhNDKLViwgHXr1km3FZHhQgSoJSUlyXyLoh61J+LCocy96e0NWJmLNjg4mIULFxIfH09JSQmVlZXU19fT29sryxOnpqbKksyLFy8mNjaW6OhoN62ycB3xhbXo6Us+d+5cqdVRpgUD9xLOnv7nP/vZz3jhhRcwm80MDQ0RHBxMSUmJfI2vXcw8L7YWi4Xm5maGhoYIDw9n0aJFXr9YfBc8xzUtLY2dO3dKP2vlYe+P/VS6WK1YsYKf/vSnWCyWO6w/mZmZbN++nQ0bNrB48WIyMzNl/IE/ofT5DA4OZvXq1WRnZzMyMoJOpyMjI8Mt244v7C2eeO7l8fHxPPHEE5SUlDAyMiJlMbH/323vV6vVhIeHExUVRXR0NBEREW6XEL91GxAoNXUJCQluixWQPoi+aKL9Joj0Eenp6TzxxBO0trbS09PDpk2bWLt2rQw6UGpNZgu5ubns2LGD8fFxRkZGKC4udstHOlMoF5pGoyEnJ4eCggKam5tlcKDdbqesrIyVK1dSWloq2+fvc1BktQgPD3czW30dk5OTbmnAhLuEr34X4jAICQkhLy+PnJwcli9fzsWLF7l27RpjY2MkJCSQm5tLUVER8+fPdxPYbDabjIL1JWFBzF0RTKFWq+VeKSJ9g4ODUavVd9WcRkRE3DPnrjJBuS/hmeNVBBtOTEwQFxcnhQFxYfb2ReqbomxveHj4Hf7Z011E/AVPwfyZZ57BZDKxe/dubDabLI1eXFzMmjVrKC0t9fkS6ffC0/I4nUzjb6jValJTU7/RuTFT+ISN6G4bji+q1b8NyoNwxYoVlJSUYLfbZTUVga9pPr4tyv4GBwfz5JNPsn79ehwOBxqNBp1OB8yse4SnliMrK4tFixbR1NQk82NqNBpyc3NZsmSJDAbxNT/AmUSksPHXNRgcHExBQQGZmZls2bJFmsWVOWqVeMNf95swnVVGXC6+a5t9sc+emh2tVsucOXMYGBhgw4YNFBUVuQkMsxF/FFrvRnx8PK+++iq7du0CcHPL0Wg0Ph/MdL/4c9v9CZ85lUXKKLvdjlqtJiwsbNYsXGGCFH5rStMBzGzS85lE5NMUWj9v4jmXMjIy2Lx5M2lpaTQ1NWGxWMjLy2P58uUkJyff9X3+iph/ynQtyiIRIiBSqW32176LAC5A+jIrq8EIrFarjAQW2lZfX4NizL6p24bw2xbaW5EmTaPR+JSWWYlS6w9QUlLCn//5nwOwYMECMjMz5XP+pqWbDhEcKPZNf5iP94uYrxEREW4KGyU2m01WNZwN/bbb7XLNKS0j/tY3USlT7BnKc+NuiL3pYQbx+ozwKkybsxWl6UeYzcVEmK2aPeWB4tlnbxIUFERcXBxxcXGyVOrd8FcBzhMx/2brXFPiaWb1rKwFXwlG/mjt+DY5WX0hsO6b4rk3lpaWUlpaOu1rZ4PwqswNOttQBtR5Cj6z9RwMCQlBq9V6uxnfGZVK5ZNj43stmuWI25i4Yfqjn9Y3RdSu9qc++0qwToDvhtAyisoxSo1AYHz9g3vlg/a37AKPOuIsgK+EVnGpDqzHAN+Ebyy86vX6h9EOn2G29w9mfx9ne/8g0MfZwGzvH8z+Ps72/kGgj7OB2di/wFUnQIAAAQIECBAggN8QNFujNAMECBAgQIAAAQLMPgKa1wABAgQIECBAgAB+Q0B4DRAgQIAAAQIECOA3BITXAAECBAgQIECAAH6D11Jl6fX6XcBaYBGwEIgE3jEYDC97q00PG71e/wrw29u//tRgMPyrN9vzMJhNfdTr9a8Cv/malzkMBoPfJpnU6/XxwLPAdmA+kA5MAVdw9f03BoPB4b0Wfnf0ev3fAeVAIZAAmIBbwB7gdYPBMOi91n13HpExfJXZvxYfiTNRr9dvB/43YB4QD3QD54F/MBgMZ7zZtu9KYAxnbgy9qXn9T8DPcQ1ypxfbMSPo9fpM4B+BCW+35WExC/tYC/z1Xf4duf2aA15p2YPjeeANYBlQDfx34GOgFPhX4AO9Xu/viTT/LaADvgD+B/AOYAP+C3D59rz1Zx6FMaxl9q/FWX8m3r5I7gXKgIO41uMF4GnglF6v93chLzCGMzSG3ixS8G+BDqAJ102l0otteajcPjh+AwwCnwD/zrstevDMxj4aDIZaXIfmHej1enG7/JeZas9DohF4Ctin1M7p9fr/CJwFdgLP4RKG/JUog8Fg9nxQr9f/DfAfgb8C/DkR4qwfw0dkLc7qM1Gv16fgOhd6gQUGg6FP8dx6XJeQ/wt42zstfCAExnCGxtBrwqvBYJCDOhsT6HrwC2ADsO72z9nIo9BHAPR6fSmwHNfNep+Xm/OdMBgMR+7yeI9er/9n4G9wjak/Cz53CK63+QCX8Fowg8154DwKY3g3ZtlanO1nYjYua2+1UugBV9/1ev04kOiVlj0gAmM4c2MYCNh6yOj1+rnA3wL/w2AwHPd2ex4Gj0IfPfjj2z9/ZTAY7F5tycPFevunzauteHg8efvnZa+24uEy28fwUVmLs4EbuHyxl+r1+gTlE3q9fg0u/9DD3mhYgPvGZ8bQm24Dsx69Xq8Cfge04dLwzDoehT4q0ev1WuBlwIHLn3BWcntcf3j714PebMuDQq/X/zsgAojGFcC1Cpfg+rfebNfDYjaOoZJHZS3OFgwGw5Ber//3wD8A1/R6/R5cbmZzcLm9fMFXl5EAPogvjWFA8/pw+T+AxcCrBoPB5O3GPCQehT4qeQGIAQ4YDIZ2L7flYfK3uAJ+9hsMhs+93ZgHxL8D/k/gz3AJrgeBzQaDod+bjXqIzMYxVPKorMVZg8Fg+O+4/K9VwE+B/4Ar4LAdeNPTFB3A9/CVMQwIrw8JvV6/FJcm8v/z9/Qfd+NR6OM0/Oz2z196tRUPEb1e/wvgL4AG4BUvN+eBYTAYUgwGQxCQgmvzzQMu6vX6Mu+27MEzW8fQg1m/Fmcber3+L4GPgDdxaet0wGNAM/COXq//e++1LsD94CtjGHAbeAgoTOmNwH/2cnMeCo9CHz3R6/XzgBW4okn3e7k5DwW9Xv9vcKU+uQY8bjAYhrzcpAeOwWDoBXbr9foLuObvb3FpKGcFj8IYPgprcbah1+vXAX8H7DYYDH+ueOqCXq9/Ftda/Au9Xv/PBoOh2RttDHBvfGkMA5rXh0MEroTocwGzXq93in+4zJYAb9x+7L97q5HfkUehj57M6uAQvV7/Z8DrwFVgvcFg6PFuix4uBoPhFi4Br8Qz+MBfeYTGcFavxVnKjts/70gfZTAYJnGldQvG5YYWwDfxmTEMaF4fDhbgV3d5rgzXwJ4ErgP+am5/FPoo0ev1GlzmVwd377ffctsJ/29x5dLcZDAYBrzbohkj7fZPvxeAHpUxnO1rcRYTdvvn3VIpicenZqAtAb4dPjOGAeH1IXA7cOkn0z2n1+v/Cy7B7i1/Lp36KPTRg+eBWGDvbAsO0ev1/xlXYunzuAKYZo2ZWa/XFwMjnhpIvV4fDPzfQBJw2mAwDHujfQ+K2TyG0zBr1+Is5wSu6lM/0+v1vzQYDLIClV6vfwJYCZiB015qX4Cvx2fG0GvCq16vfwZ45vavKbd/Vuj1+jdv/3/AYDD4fZWmALMGERzi71V83NDr9T/CJfTYcW1Mv5gmuXarwWB4c4ab9qDYCvw/er3+OHATV1qXZFzVb/KAHlwRs37LIzCGnszWtfgMs/tM/AhXDtCNQL1er9+Na/3NxWWODgL+g8FgGPReE78bgTGcuTH0puZ1EfAjj8fybv8DuMUsKDEawP+5XYRhFbMzOCT39s8QXCmkpuMYrshSf+QwLiFnJbAQV2olI67Agt8B/3MWaCln+xhKZvlaXMQsPhMNBoNDr9dvA/4N8D3gWSAcGMI1lv/TYDAc8mITHwSLCIzhjIxhkNPpnIm/EyBAgAABAgQIECDAdyaQbSBAgAABAgQIECCA3xAQXgMECBAgQIAAAQL4DQHhNUCAAAECBAgQIIDfEBBeAwQIECBAgAABAvgNAeE1QIAAAQIECBAggN8QEF4DBAgQIECAAAEC+A33nef1ds16v8ZgMATd7bnZ3j+Y/X2cDf2D2d/HwDyd3f2D2d/H2dA/mP19DMzT2du/gOY1QIAAAQIECBAggN/wjStsGQyGh9GOh8o0pRLvymzvH8z+Pvpj/2D29zEwT92Z7f2D2d9Hf+wfzP4+BuapO7Oxf94sD/vI4HQ6sdvtOJ1O+X+Hw4GobhYUFERwcDChoaGEhIR4ubUBlNhsNmw2mxw/gcPhAJCPqVQqQkNDUalUBAXd01Llk9jtdrffxTy12Ww4HA5UKpX854/9m004HA4cDgdBQUE4HA45Pz1RjpfT6SQ4OJjg4ICxLYD3cDqdck8JCgpCrVYH9hM/YGpqCqfTiVqt9pk9xKeEV6fTKYWCoKAg+c+fUAo4TqdT9kGlur+vWinQzjaE8C7+76tjLNopxu1+x87zM8D3x1H0c7pLk0qlIiws7J7v83eUew74/r7jKYSGhISgVqu/8Wf4av888RwfgWf7xe/+0q974XkO+oqw8CAQAuujjD+Nr9grQkND73jM2/iU8Gqz2bBarTidTrkp+5smUmhUlQLQN1msNpuN4OBgv+v3/SA0RkLzLL6bkJAQn1gMAqFxDA0N/dbtEv3zpX55IrQgISEhPr2BPkwcDgdTU1NyvMR34avfyXc9OJSXa39AWD48Lxiee+Rs0irb7XYsFgsAoaGhs6Zfd8PhcMz6PipxOp1Skyksdr6K3W6/Q3njcDh8Qj7xCeFVKeT5663sXhqsyclJRkdHsdlsmM1mxsbGmJycxGq1Ai7tSXR0NNnZ2cTGxgL+IfzcCyGkCk2RSqUiJCTkW2mKZgqr1XqHtrW3t5euri5GRkbkxcLpdGK1WuVlKygoiMTERPLy8oiLi3Nz/7DZbNLc4kuIA0O0y2Qyyb6I/o2OjtLT04PJZCImJobU1FRiY2PRaDR+Oy/hK6FdCEBardbbTbonQlMjBOrx8XEmJycJCQnBZDLR29vL2NiYHFObzQZAYmIiaWlpqFQq7HY74eHhREREeLk394dyfn7TtaN0yQoODvabuWq326e19ggXHrGneF5g/KV/AGazmcHBQYaHhwkPDyc9PV1adx4FIVach557jq9oMwViLFQqFQ6Hg5aWFqxWKxkZGT6zh/iE8OpLg/agmJiYQKVSMTk5SW1tLdeuXcNoNNLb20t9fT2tra2MjIwAoNFoKCkp4bXXXmPnzp0Abpogf0QIeWKx+gOeJpzW1lYOHTrEgQMHuHz5MmNjY3I8pqamAJfQZ7FYWLx4Mc8//zzl5eWkpaWRm5uLVqslJCRkWn9Eb6J03wBoaWmhrq4Oi8WCVqvF4XAwPj5OXV0dX3zxBW1tbcyfP59NmzaxZMkSSkpKSExMdPs8f1rDYpz9bV7abDb6+vq4cOECXV1dhIWF0dXVxdGjR6mvr8dqtRIaGsrExAROp5PVq1ezbds2dDodJpOJ9PR0FixYQHp6uhwvXxUYvst8Cg4O9svL/91MyOJxf3SNUF68ADo6Oti/fz8XLlygqKiI1157jZSUFMClPLibm9Js4W5j52tjarPZpD9yX18fv/nNb+jt7WXnzp1s2LDBJ7TFXhVelRun0Wjk4sWLXL58GaPRSHZ2NgsXLiQnJ0dOaF88JJW+mw6Hg+7ubs6dOyf7YbPZaG9vp6urC7vdzsTEBLdu3WJ8fNztc1pbW4mMjCQhIYElS5YQHh7upR59O0TgiNJHRil4j46O0tvbS19fHz09PQwPDxMZGcm8efPIy8vz6m3OarUSEhIitR2XL1/m+PHjNDQ0cOnSJWpra5mYmHB7j0ajITc3F5VKRUdHBzdv3uTNN9/k4MGD5OXlsXHjRjZv3kxCQoL8XKX2xFuINRcSEoLRaOT8+fN8+umnXLhwgbCwMFJTUwkNDWVycpL29nYuX76M2WxmaGiInp4eLl68yI4dO9iyZQvx8fFSSPAHhKZcXCoAueeMjIwQFRVFamoqqampZGRkEB8f7+UWuy5Jwn2ls7OTd955h+PHjzMxMYFaraa/v5+6urpp37t//376+vqIjIxkbGyMyMhINm/ezK5du8jNzZ3hntwfYo0EBQVhtVqprq7m6tWrUiB3Op2EhoaSkJAg56rD4SAuLo6UlBTCw8MJCwv7Vn7q3kKsIXHhr66u5tSpU1itVpYtW8bq1avv2R+r1YrdbpeaMl+6jChdk8B1zn322WfU1NTwxBNPYDab5Wun822eLSh9XG/evMnx48cZGRlhwYIFlJWVERcXB/hOrITSle/q1aucOXOGCxcuMDAwwNTUFKtXryY2NlZasLwx57y6wqemptBoNACMjIzw+9//nl/+8pc4HA7Wrl3Lz372M5KTk93MCt4+/D1R+oSYTCYOHz7Mm2++SVVVldvC9ERkFxCfYbfbOXz4MCqVCp1OR3l5OQAWi8UvbqPK/sBXQv3k5CQdHR1SELx48SIXL16kv7+fxYsX87Of/Yy0tDQ34XWmLynKv9fb28ubb77Jb37zG6kZBwgLC5N+aKWlpbz44ousWLGCiIgIWltbOXDgAB999BHXr1/n2LFjtLS0MDExwTPPPENSUpL8O95GeWG8ceMGn376KZWVlZhMJpKTkzGZTNKFp7CwkLy8PIaGhmhsbKS+vp6GhgYGBgZwOBxs2bJFamB9VYOnRJhjnU4no6OjXLp0iU8//ZSPP/6YtrY2NBoNixYtYvXq1Tz77LNUVFQAX5lzZ7p/wlwsuHDhAr/61a9obm52uzCLw8NzzVitVqqqqlCpVNKVoL29ndDQUJ577jkyMzNln3xFMSCEMKHxeeedd3jzzTfd9lK1Wk1eXh7z5s0jPDwch8NBVlYWJSUlxMbGEh4eTkxMDBkZGW5rzxf6Nx2ibQ6Hg4sXL/LLX/6SN998E4CnnnqK4OBgKioqUKvV0pKl7I+vu9sp973R0VE6OzsZHR0FvC+kPWyU7isAzc3NvPPOOxgMBvr6+njiiSf4sz/7MzZu3OhTFgPR3pGREYaGhpicnGRkZIQ9e/aQnJxMQUEBsbGxXpXHvK55FUxOTlJfXy8fs1gsWCwWnzO5eiL8q4KCgujp6aGyspKjR49+7ftSU1PJz8+XQUxGo5GbN29y/vx5enp65OtsNpvPCq9C6BY3fiXXr1+nqqqKy5cv09fXx9DQEO3t7dy4cUMKgZGRkaSkpBAdHS0/byaDtzwjKWtra3n33XfZs2ePm+AKX7kJREVFsWHDBl599VUyMjIAKC8vJzExkeHhYT7//HPMZjNVVVUMDw9TX1/PM888w6pVq6TvIeC1RS/GaXR0lObmZiwWC1u2bGHJkiXExcVhs9nkhVKj0RATE0N/fz979uxhz549NDY28sUXXzA5OUl2drYUXoXLgS8iAgTFAd/S0sI//uM/cvz4ccbHx2lrawOQ46bRaFixYoV8v7cuHUFBQXLtd3R0UF1dTWtrq2yTaJdarUar1cr+CW2XcGkRgiu41uUbb7xBcHAwr7zyCjExMVI49/aBCe4+qtevX+fixYt3KAGsVqt0uxKCXEREBMeOHSMiIoKpqSl0Oh2bNm3i6aefJisrC8DnAkPF5USlUmE2mzl+/Dhvv/02Bw4ckK85dOgQdrudV155hVWrVgGus1IIF1qtlrS0NLfP9dZl634ICwsjMjKSsLAwOXazGRH3IS4e+/bt41e/+hV9fX0AVFZWUlhYSG5uLgUFBT4zZlarFbVaTUxMDPn5+W57e09PD93d3eTn53v10uRV4VV5gPf29mI0GgFXhGVmZiYRERE+M5ieeAo+w8PDnDx5kvPnzwOuAyUsLEz6viYkJBAbG0twcDA6nY6FCxdSXFwshT+bzUZdXR1BQUFERkbKv+NrmmYlIgALvgpKGxsbo62tjaqqKvbv309VVZXbe2JiYliwYAHz589n48aNLFq0yGsLQJiRw8PDcTqdHDhwgP/1v/4X4+PjaDQaGZgkXCLUajVFRUWUlZVJwVWYddesWSPzbe7duxez2cylS5doaGggKCiI5cuXy8NTaUabKZSaGhHtGhMTw9q1a3nsscfIy8u763vz8/NlvtB3332XtrY2Tp06RWtrK6tXrwa+2qR9SThQukjY7XYZ6LRv3z7eeOMNud8kJiai0+nQarUkJSVRVlZGcnKy/BxvCHbiIicCtGpqarh+/TparRaj0SgPE7PZLC/60yG0OWFhYWi1WkZGRqirq+P06dNs376dmJiYGezV3VGmpgOXsH758mWGhoYA134aGhoqx8xisdDb2+v2GU1NTW6/d3V1ERISwvPPP09qairgWvO+4lLg2d+9e/fywQcfYLFYiImJISgoiOHhYfbt28fU1BQdHR0AjI+PExISgsPhICYmhscee4zCwkIZuS6sWL5iglbicDiwWq1MTU1JIXs2oxTQm5ub+fLLL2lvbwcgIiKCiYkJjh49SmlpKVFRUXLf8bYlS6lYnDt3LosXL6aqqgqTycStW7c4cuQICQkJLFiwAPDOuvIJ4dVqtdLf3y+1WyI9ii/fysTgKn3nPv/8c7nBBAUFST/JzMxMtm3bxqZNm6SpLiIiQmYWEALS8PAwFovF7eD0Va2rkvHxcc6cOcOJEye4fv06bW1tdHV1ydulQKvV8vTTT/O9732PefPmERMT4+YuMNMCndJX5+bNmzQ0NEhfZK1WS3Z2NtnZ2URFRWGz2dBqtcyfP5+ysjK3z5mcnCQ8PJxNmzZx5MgR9u7dK5+zWCzU19fT3NzM3Llzp9VSzwSe0clxcXEsW7ZMaq2+jiVLljA0NERlZSVtbW2EhoYyOjrqFhXuaweRuBiC63J57NgxTp48SVVVlRSCAObMmcOWLVuYN28eGRkZZGZmuq1Bb18gRfYHq9Xqdqh4Bt5Nh7KYhtKKNT4+TldXF5mZmT5hcvYM7hwYGKCtrY3JyUkA2f9vwqVLl3jnnXcoLi6WwqvVavUJ4VVotsBlBTl16hQXLlyQlxCLxeI2tidOnODKlSvAV0Kp0+lEp9NRWFhIYWEhWVlZlJWVUVZWJoVfb+M5R8fGxuju7nZLmThbUQqgvb29HDlyhFu3brm9RvjAfvnllyxcuFDuO94OXlPu51qtlueffx6TycT7779PbW0to6Oj6HQ6t9iPmcarq1iYTNRqNQkJCVKL6XA4MJvNfiHAioOtr6+Pzs5OeUBMTU1RVFTEsmXLmDdvHkuXLmXNmjX3PAgTEhLueMwXNqDpsNlsDAwMUF9fT3V1NdXV1dTX19PV1eUWjFZQUEB+fj5JSUlkZWWxfv161q9f7/ZZ3tDYiZtiSEgIY2NjHD58mKtXr8rnQ0NDiY2NZcWKFSxdulTeoFNSUkhLS3N7v7h0AaxcuZKysjIuXLggH7t27RoGg4Fdu3bJYDxvaSnFgSEsAODS3okAoLCwMLeoZrPZLIMHLRaLFCC0Wi3Dw8N0dHSQlZXlEwKQQJlDGKC7u5svvviCTz75hOPHjzM8PExUVBS5ubnMnz+fVatWUVFRQX5+vlugpMlkIjg42CuHiFLrotPpKC4uJiMjA5PJJNsWFhaGWq1Gp9ORkpJCVlYWYWFhjIyM0NPTw8jICGazGaPRyNTUlNs87e/vp7a2lpycHGlF8IWAQiXKlFGhoaGUlpZSWFiIVqtlaGiI3t5e6aMtUteJC2lXVxfDw8OcPXuWgwcPUlBQQG5urnSJ8TbK7/ns2bPs3r2buro6GYAmxjcmJobg4GAmJibc3MmUdHR0cPHiRdLS0qipqWH58uVs2bKFuXPnAl8J7N7YbzytFjqdjpiYGGl6bm1tlcGDvnCpeJAoBdCbN29y7Ngxenp6CA0NZWpqCrPZTFhYGEaj0S37EHg/eE3MT5PJhFarZfny5TQ3N/PRRx8BLterffv2ERMTwyuvvCL3WuWl7GHjdeFVkJSU5HZI+KImxxNl+1QqFVqtlrCwMCm8rVu3jr/6q78iOzubqamprzUDCHOuEIp97TtQHm5DQ0McOHCA999/nzNnzjA2NnZH+ozCwkK2b9/O9u3bKS0tJSIiYtqJ7Y0+Ks0cV69eZe/evdy4ccOtTYWFhaxYsUL6mlmt1mmToys1lxs2bMBut/M3f/M3nDt3DoC2tjZef/11LBYLSUlJFBcXe21cp0u+HxYWJiPala4Fwi3GbrfT2NjI5cuXGR4eBlyXM1FQBHzrkiXK2YLrUrlnzx7ee+89qqursVgsaDQa5syZw3PPPccLL7zAnDlzpnUN8KagI9oi3FLmz5/P4sWLSU5Opre3V2qIw8LCiI2NZdmyZaxdu5aoqCiam5upra2lubmZW7duce3atTsEn+HhYfr6+qQwDL4RUKhEWOAASkpK+NM//VNeeuklQkNDaW1t5fTp0wwODhIUFMTIyAhGoxGNRsPw8DC1tbW0tLSg0Wjo7u7m7NmzxMfHExUVJT/bG8KSMsDObDZz8eJFPv74Y44ePcro6Ki8EAsXJGEhUGa1EetXCDhWq5Xh4WHZ76qqKsbGxvjRj35Edna210s6K/fLzMxMHnvsMW7evEl7ezt1dXUsWLCA+Ph4OR6+5n70bVEGQyrXoQiwUxbDEX7AAl/pv3JPULpxBgcHc+nSJVJTU3niiSfkGSjc62YCrwqvys2jvb3dzZTnbxNYaHqUB57JZJIbTGhoqNRcCR88h8NBZGSk1BwcPXqUU6dOoVKpWL58ORUVFVI75gtakampKelr197eznvvvcehQ4fcngeXVm7p0qU89dRTbN68meLiYrexFqldvm3p1e+CmFcajYahoSHOnz/PO++8w5kzZ9w0U6GhoWzbtk0KrsA9BW9h0g0PD+fxxx/nypUrjI+P09nZKS8zDQ0NNDY2kpWVJcd1pnyblOvJc10pBTebzeYWxS4O0p6eHtra2qR2IDk5mTlz5kitncgx6k3ERivmVFtbG59//jkffvghx48fB1xjuHr1anbt2sXmzZvJycmR7xdVb8Qh4mv7T3l5OT/84Q/p7++nsLCQgoICIiMj0Wg0ZGZmSr/lOXPmsGjRIpqbmzl+/DgDAwN3CK85OTmUl5f7jHuEp9tAd3c3V65cobOzk7i4ODZv3uyWXzInJ4fIyEgmJycJCgrCZDJhNptRq9UYjUY2bNjA2NiYrNaYnp7u1j9vja1yvYvI8w8//FBG3yv3eWWgnWC6crkajUb6MwPcunWL3//+99hsNn70ox8xZ84cYGa1YgLPXOVJSUkUFRURGxvL0NAQXV1djI6OEh8ff8fF2d9RWn4aGxulryu49ihxZiQnJ1NaWupmefX2WS9Qnk0RERFkZmYyNDSESqViYmKCuro6acGB6c/Ih4VPCK8TExNuPq/ge1qAr0OYj4VmClypbd544w1eeOEFFi1aRFhY2B0mSKvVitFo5OrVq3z44Yfs3buXjIwMEhISeOyxx9yEHG9PaKWmfGBggLNnzwKuzTMsLIzR0VESEhIoLy/n6aef5umnn5a+ZhaLxa1ijrfMzCaTSZqGJyYmeOONN/jwww8BVyYB4XO2bNky6d4gKqPdyzdUWTlMCLBdXV28++678jU2m42mpibKyspmXHhVCtlms1laAsRFKigoCJ1OJ/ug1PA4nU76+vpoa2uTpq7y8nIWLFgg56S3zVzgnrZOuIK8/fbbnDhxAkD6+T7//PO88MIL6HQ6nE4nZrMZrVYrBaOpqSkmJiaw2+1oNBrCw8O9nh0CXIFzf/RHf4TNZiM5OdmtUAR85RsbFhZGRkYGExMTWK1W6TeqTPeWlpbGsmXLpD+3twuieApl7e3t1NbWAq7UdBs3biQtLU1q/DUaDfHx8XfNxfvYY4/J/wtXF+V36a2+KrPTGI1GqqurZVBaTEwMo6Oj0joQExNDWFiY1NCJNSzWpd1uJzExkeLiYiwWCydOnGB4eBiVSsX169d588030Wq1vPzyy2RkZLhlo5gpPC0asbGx5ObmEh8fT0NDA62trfT395Obm0tQUNB9+XH7Osp0VyIlnzL40NN6N3fuXCoqKuRZCb4pvGZmZrJu3TrGx8e5fv064EqldfbsWfLy8igtLZVrbCbONZ/I8xoREUFubq480IEZOdC/C543w4SEBJKSkuThEBQURFNTE++++670OSotLQXcb5Y1NTUcOnSI6upqTp48ycTEBKtXr2bu3Llu/ne+MJmVfVYGFDidTiYnJ0lPT+ell17iySefpLCw8I6IbXFAeXNslUEfKpXKzVXAZDIRGRnJli1b+PGPf+yW9eHrTFqeAVGZmZlkZWXJAzk4OJihoSFu3rzJ6OgomZmZwMMX+jw1Wg0NDZw6dYrGxkZUKhXh4eGMjY0RERHB1q1bZYooZX96e3upqanh/PnzWCwWysvLWbVqlayMA77hrybWiN1u59q1axw9epQTJ07gdDrJzMzk2Wef5cknn6S8vNzt8qDsq9Fo5Pjx4xw8eJCRkRHWrFnDli1b3KpSzaRmSLlWIiMjiYiIuGsaJFErXaSS+uSTT/jwww9pamqS/szKrAS+lOPVU2gRfrrBwcEsWrSIkpISVCrVt4pS9yV/bOV3rdPp3NaNMO87nU7Ky8v54z/+YxYsWMDQ0BAmk8nNqie0zaKs+OXLlxkdHeXYsWPyEtfe3s4///M/Y7PZ+MUvfkF0dLS84Mw0YswiIyMpKioiJSWF+vp66uvraW9vZ+nSpYB7aV9/RWQPGhgY4PLly1RWVtLU1CT7JbLXgOvCsnjxYpYvX05sbKzbeeELKNdOeno627Zto7m5WQqvNpuNhoYGmpqaKCkpAWZuDH3G5zU5OfkOHzNfnsSeN8qsrCyeeOIJQkJCqK6upqWlBbPZLBPYh4WF8eKLLzJ//nyCglzVcs6fP89nn33G0aNHZZqXlJQUHn/8cVasWIFarZamHl+YzGJ8jEajjDgHlyCr0+lkidQlS5YALkFRpIPxtklZIARSp9PJ0aNHGRwcBJDfdUhICE8//TRbtmwBXH1VHjJ3OzTF40I4T0hIYO7cuSxYsIBTp07hcDi4fv36HTkZH7a53TPS99KlS1RWVtLa2srk5CSDg4OMj4+TkJBAR0cHzc3NMq+f3W6np6eHmpoajh07xsDAAIA0c0VFRd2R4sgbKP1urVYrV65cYd++fZw9exan00lMTAxbt27le9/7niw8IKKdPf3KGxsbee+99/jtb38LuPaooqIikpKS5Dh5S9hT7gEix7J43G63S6vO4OAgBw4c4O2336a+vl6+Xmhgi4uLKS0tvSNjirdRzlWn0ymLDaSlpcm+hYSEoNVqCQ4Olu5Hnr7aIm2byOwhhH1f2EOFr6Owtilz2I6MjOBwOCguLmbXrl28/PLL9/25ycnJ3Lp1i8nJSS5duiTLBLe1tVFdXY3ZbJbCqzdyp4vMH8HBwaSlpclMO4ODg4yOjrr5SvryuX8vlAGDKpWKa9eusXv3bqqrq2lvb5/WbSssLIzk5GSpzPBmxarpEJcpu91OeHg4S5cuZdmyZRw9epShoSHGx8e5efMmnZ2d8j2eJYEfFl4VXpWDKAKVlPjyJPY8vFJSUnj22WdZu3Yte/fu5V//9V+5cuUKFouFuro6jEajLEig0+l49913eeedd9xSZwQFBbFgwQKKiorkQhYHrDfx9H9saGjgxo0b0s0jNDSUxYsXs3HjxjvKTvqCRg7uDLZ66623+Kd/+ifa29vR6XSyL2q12s0c+003evFdaTQali5dys6dO1GpVBw/fhyHw0FLS4sUIsTrHybKTXBsbIypqSlSU1NJT0+np6eH06dPY7FYpItDZWUlS5cuJScnh9HRUc6fP09TU5M8ZDUaDSkpKSQnJ0v/Z29r7sTfNpvNNDQ0sHfvXvbs2cP169dJSEhg27Zt7Ny5k4ULF7q9R8xNIfzdvHmTAwcOUFlZKV83MTFBX1+fDJwC39iXlAdcUFCQ2zzt7u7m1KlT8kKs0Wgwm804HA7y8vL4yU9+wrPPPit97HwxWbwQQD3dNsQeCrj1Xym8ikIHviQEKNtsNBo5cOAAb731Fi0tLbKdwh3kmWeeYdu2bd/o81UqFT/5yU9wOp381//6X6Ww5HQ6iYyM9Al/X0+fdPjK3crbmv8HgXKMnU4n58+f58CBA3R3d8uxAHcXmekqU/oaymIaOp2O/Px8CgsLuXLlCkajkZaWFrecyzPl+uFVyULZQVFxQxASEkJoaKjbY748wcUETE9P58UXX0Sn08mAJmHG27NnDx0dHWg0GpkTFVwCkwig2L59O4WFhfJzvS24eiIyIojDBVyC4ZIlS9i8eTOxsbHyOV8RXMF97ty8eZN9+/ZRU1MDuPK0ik3+Bz/4gVsQzzetGqWcr6mpqSxdulSa6h0OB0NDQ5w+fZr8/Hzi4uLcXEMeJkKTtXjxYvLz84mIiGB8fJzS0lI+/fRT6b/c2trK2NgYUVFR2O12uru7pYkrOzubrVu3sn37duLj493cEbyFMmq8vr6et956i8OHD1NXVwfAvHnz2LlzJ2vWrEGr1bpdYqampmSgpdFoZPfu3fzud7+TgRVCS+95sfaFA8ZzLxS+yzabjRs3btDY2Ci1+pGRkfLyMXfuXDZs2CCDu2a6qt39IkyPISEh6HQ6WYVPrVa7aYy/TrtjsVhkBL+3Ed9xb28vx44do7KyUo6Lw+EgPT2dF154geeff568vDwsFgsmkwmVSiWLTSgRZX+NRiPJycmoVCrmz58vXWKEH3tUVJSboO9tlMKNyWRy81X3Z59X5WWpvr6eqqoqqZwKCwtzOy+DgoJITEykrKxMVoAD36sCNx3CkiqKhoyPj9Pd3c3g4CBJSUlu/tkPtR0P/S/cA2UHJycn3bQHNpvNJw+NeyEOj5iYGF5++WViYmIwmUycO3cOo9EofXzgq4nucDiIjY2loqKC733ve6xdu1aad8B3THqeKP3u0tPTKSsrk3kFLRaLzxVXEJujyWSivr5eFpOAr+bVSy+9xF/8xV+Qn58vtYnf9PLgmcYmJSXFrYqR0+nk+PHjpKens2PHDikcTxdZ/CARhQni4uLcHheRv/Hx8YyNjTE5OUlzc7MsQxoVFcXY2Jjsy86dO9m0aZNbH30Bo9HIyZMnef/99+np6SEsLIzc3Fw2bNhARUUFWq1WjqlYU0rhp6qqig8++ICGhga3zwwLCyMpKcltHnhbYFeiLM9stVo5d+4cn3/+uRy/qakpGYWemZnJ4sWLpa/yTJn3vg1Ce2qxWOjp6eHmzZtkZWXR19cnLxexsbHExMRgNpvp7+/HbreTlpZGcnKyTAnnC/uQ8pI3NDTEuXPnuHLlyh1lb1etWsUf/dEfUVpaKrNe3E/7lUoCYSUQf3diYoLJyUm3YhXeQpz3Iq87uAT59vZ2nzwz7hdPjXJ/fz/nzp1zM6XDV+WezWYzTqeT6Oho1qxZI6tUge+e99Oh3P9FRbzVq1fPWIpBrwiv4hARB/fg4CBnzpyRPnWAXHQP+1B/kCj90AB27NhBREQEBoOBzz77zG2zcjpd9Y5DQkJYvHgxO3fuZP369W4+mb5yA1NueHa7nYGBATo6OmQ9+1WrVpGfny9f40sL0DMP6fDwMJ2dnW5jER0dzfLly3nqqadkP0SQ3bcVVMT7RdlR5WXEZDIxMTHhE5ex5ORkfvrTn/LEE09w+PBh9uzZ47bpCq2IzWbDYrHQ3d0tDxqlNmimBTrhniHqwp87d47q6mqZEmrevHm8/PLL7NixQ7qBCFcBTyH20KFD/PM//7MsUiGSiDudTvLy8pg3bx5ardYtR6evYLfbZfS9yWRi//79fPDBB4yOjqLVajGbzTJAZ8mSJaxatUpqMcF3BHHPIDSdTkd4eDh9fX18/PHHXLlyhcjISMbHx2XUtk6nIzIyEqvVyvj4OEFBQaSlpZGdnU1BQQFr166VY+/NRP1Kv/ampib279/vZnVzOp3k5OSwbNkyCgoKgG+mERfCQltbG5cvX5aVHZWaPm/vNUrXjvDwcBYsWEBGRgYdHR3U1tZy/fp1mb3EV869b4LyvB4bG2N0dJSYmBhSU1MZGxvDaDSiUqnIyMjAbDbT0dGBw+EgKytLxkF4O5j5bnhmIklPT2fBggU0NzfLFG+iZGxOTo7bGTpdXvEHhdeEV/iqLOqNGze4cuWK/CIAWZFJaVb19UktVOl2ux2TyYRarXZLdwJIE54ILtFqtRQVFbF69WoiIyNlcmpfuoV6bnwOh0PWU9dqtURERLgdiMIs4gtCrPDXEZqz5uZmTp065Zb3Mjc3160iDXx7dw0RQCLMRG1tbfT09MgFbDabSUxMJCMjw01jMhNzW5jkxCapDGpxOp2yYpYo66vValGr1TKRfVNTE7///e9RqVRs27bNqyUolaVfJyYmuHDhAteuXUOtVhMREcGSJUvYsWOHdMGZnJxEq9XKQ9RmszE2NkZNTQ1vvPEG+/fvZ2pqyi1dWnZ2NiUlJVJT6e2SjUrEOAp/QbPZzOHDhzlw4IDcRzUajaw8lZuby/r161m2bJlbhTdfWKNwp/CalJRERkYGt27d4sKFC24V677uczIzMykpKWFwcJAdO3aQnp6OSqWS834m56xngJQIcBEprcTFIzMzk9TUVLfA0K9TYCifn5qaor+/n76+PulTr1arCQ0N9Qm3AeWlT6vVsmDBAsrLy+no6KCpqYn6+nry8vLQ6XQ+Mye/CcrvVa1WExkZSVRU1B2FB4KDg4mPj0etVrNs2TJycnJ8Zk+5G54BuXPnzmX79u3cuHFDWjDb2to4fPgwc+fOJTc3V47hw5xvPuGU6Bn1qlKpKCsrY926dVIL8l20YDOB8tbkdDppaWnhxIkTHD58mLNnz0rfPJPJJCMrhSbAMwjBG9Gg90K5mYSGhlJUVMTChQs5fvy4NNc+++yzUvjzpXQnIjWMEEYvX77Mnj173ErY6nQ6cnJy3HJGfttFpxRwRkdH2bdvHydOnJDaL6fTSXp6Orm5uTNuilZqP5QC/b/+67/y+uuv09nZKQuFaDQalixZQmRkJB0dHVy/fp2JiQkOHTpEeHg4UVFRrF69Wl5aZtpSoDRZTU1N0dHRQWtrKzabjaKiIsrKykhKSpKvUZrInU4nra2t7N69mw8++IDLly/LOSLcl6KioigvL5cJ3n0NMa+F1u3w4cO8/vrrbiWORc7pzMxMnnzySdatWyddWGayEs794Jm9JScnhwULFtDQ0EB/fz/wlY/nvXA6nXR1dTEyMsL169c5deoU3//+91m3bh1arXbGK2t59ksIlCLtF7j6FRUVRUREhNxrv+n+6XA4GBsbY3x8XF6+wsLCKC4upri42C0oyBvCoef3kJKSQk5ODhqNhrGxMfr7+5mcnJS5tD0tZr6MZxvj4+NJT0+XxV1EHmmr1cqNGzcoLCzke9/7ntuZOd3n+BoiE0J4eDjLly9n/fr13Lp1i5s3b2Iymbh8+TJffPEFWVlZLF269KEH9PqE8CoWtFhUwcHBpKSkuCUN95fbmM1m4/Lly+zevZuPP/5Y+riK5zQaDQkJCYyPj2M0GhkZGeHmzZucPn2adevWERcX53M3MTHxxAFfXFzMihUr+Pzzz7n4/2/vz8ObuvIEb/xj2ZIlr/JuY2xsY2MDNmB2sxO2sCdkJRupqqS65k51dU1Xv+/8qrr7N13vPPNO98z0UkuruzprFVnJAglZWMMe1rAaMDZewMY73m3Jkiy/f4hzuBImIYltSeZ+nodHWLqWz7nn3O/5nu/5LmfOcPXqVd59911ZGUyUYBQLrLDu+Qq1otPU1OShuIrPx44dK4OUvmuwmXfqpePHj7Nr1y4ZPARQUFDA1KlTGTNmjLQADvdxZl9fHzabjfb2ds6ePcsbb7zBuXPnALePq1D+Fi5ciNlspry8nF27drFjxw76+/upr6+nq6vrDn/04bZoCRwOB01NTVJZy8zMJDs7G5fLJbMEqHNIX716lQ8++IDXXnuN0tJSAFkeVyz8ohKQekPjL5tnYTEXWQQOHDjAq6++yoEDB3C5XEREROBwOGRfFi1axDPPPCPzMILnyYK3P+RwWyfF3xRtCAoKkoFlX331lVReheKq0+lIT08nJyeHmJgYWXijtbWViooKWlpa6OjooKOjg4qKCpqbm+nv72fp0qVyTfFVedja2lpaWlrk2Oj1eiZMmMDSpUspKCiQ14nTkK9D7Y7Q0NDA3r17OX/+vLyXTqeTSZMmMXPmTLnJ8ZW13TtHstlsJjk5mbCwMNrb22loaPDIQeyvR+hfh7rYi5Dvwj1N7evqcrmYN2+eR0rJQMi4oN6AmM1mli9fTkNDA++88450J7tw4QLHjh3zqL44VBtlv1BeRaCTWogOlEzbnxGDevPmTfbt28cf//hHqqur0el0REREyKAX4SJQWVkpMxGcOXOGrVu3YjabeeCBB4DbD4I/9V0tTMePH8/ixYtpa2ujsrKSN954g7q6On7yk5+wbNkyWfbWH6w7aqEwkDN5amqqh6+Zy+X61gub93gdOHCA999/X/q2AcycOZMnnnhC5vAdTtSLgcvl4vLly+zfv5+DBw/KIKXU1FQWLFjAmjVrmD59urQONzQ0oNfrqampobi4WJb19WX6He+coGof5qSkJLKysoiNjZW+q6J9VVVVvPfee/z7v/+7DPwxGAx3KDPx8fHk5OR4BNv5ywZaHZ194MAB/vmf/5n9+/dLpba7u1v2d9KkSSxfvlwulHa7/Y6F0p9kjFjIw8PDmTNnDvPnz6empobm5mZCQ0NllPbcuXN5+OGHycrKkj7kZWVl7N69m6tXr9LX10dnZ6fMsx0ZGUleXp7MsjAcyquYd0ajEbvdzoULFzhw4AAlJSUy5iEpKYmFCxfy5JNPEh8fLzf8YjP1dagrVH7xxRe8+eabMlAPkBawgoICmaXBVz7boi9CkRHWyYiICK5fv86lS5doaGjwKN7iba31d8Smz+Vy0dTUdIcyLmRWeHi4h1zxRdne74KQf6K9hYWFVFdX8+mnn1JXVwe453x7e7tHIYyhOoX1C+XVu3P9/f0ex0P+PImFgBKTtrOzk9raWjmYoaGhctAjIiIoKipi06ZNOBwOxo0bx7Zt26isrGTPnj3MmTNHKq9Op3NInZ2/C2phn5qayvLly6moqKCyshKXy8VXX33Fyy+/THFxMUVFRcyZM8ejkpFIfTPceCeFFoSHh5OTk8PixYvlEcd3CRjo7e2Vkev9/f0cOnSIV199lR07dsjgkpiYGFasWMHGjRs9ygAOl/VHlJwMCgrCYDCwfft2XnnlFWmFzs7O5pFHHmHDhg1MmDDBoxRuUlISo0ePJjU1lcrKSlm6c8qUKdLKPtzH0OrnIjQ0lLS0NEJCQqT1W7QL3HlPW1pauHHjBkePHuXtt9+WiquoelddXS0V4IiICGbNmsX8+fNJTEz0m6o3wp0oKChI5uh98803OXz4ML29vRgMBoxGo/TvnTNnDk8//bRHzlCRE1bIq7tZ/X3lqqV+/pKSknjyyScpKCiQAVnBwcGEhYVJtwIxzna7nZycHHJycmhtbUWn09Ha2srOnTvZtm0bx48f58CBA4waNQqj0Tgsc9Vut0t5Y7PZ2LlzJ/v27fOowpiRkUFBQYFHXftvQsyD4OBgent72bJlC3/4wx88FNfZs2fz6KOPsnjxYo94BF+jdhHMzs5mzJgxXL9+nRMnTnDkyBHGjBlDQkKCX6/53rhcLukuZrPZ2L9/P3/60584ffq0dHWx2WzyBHLMmDEeKRgDpZ+C3t5e+fyMHj3aQ3+LiooiLCzMo09D1T+/UF5F58Srd0Umf879prbquFwu2tvbsdvtRERE0NbWhs1mw2azERUVxZIlS3jwwQeZPn064Pb7sdvtvPzyy9TX13PixAnmzZsnd8r+NqlFkI/L5cJkMlFYWMjcuXMpKSmRx3Wff/45hw8fZs2aNeh0OhYsWCCryvhqd3m3uRMVFcWsWbPIzc2Vlphvc2QqfJXVCvHBgwf54x//yGeffSazZ5jNZmbPns3ChQul4mqz2e7IYzyUqANASktL2b17t9xgZWdnU1RUxPr162WZRpEmKiQkhJ6eHnQ6nUfVrYqKCg/3i+FOm6XeBEVGRkoL05kzZ7h8+TJfffUVaWlplJeXc+XKFaqqqigtLeXUqVO0tLTIDBPp6elUVVXJ7BkRERHMnj2bpUuXeuRC9bXiKhD9vn79Om+88QZbt24FbhciEH6UY8aMYf369TzxxBMYDAZ6e3vlxsX7u8Rpg1CKjEajz6qJqX0+g4KCmDp1KlOnTr3r9cJCZzAYGD16tDyqBLeFKC0tDZPJJKsZxsbGsnbtWoKDg+XzO1QbSLXcqaqq4uDBg7Iss9PpJCwsjIKCAnJycrDZbHJzebf2iHuiTm925coV3n//fZmn2Ww2k5aWxuOPP85zzz0n8zH72ykeuC3D06ZN48iRI9TU1HD8+HFmzZpFTEzMN5bj9hfEaUdoaCgOh4NTp07x+uuv8+677wLuZ0lkRAGYOnUqy5cv96i0GAhWVzXqeWQymWS1NIDm5mZaWlo84nZGtOXVe3L682T1Rn0c63A4qK6upqamxqNsocvlkk7awrIK7gVmyZIllJeXs2/fPnbs2IHZbObHP/6xdOT2xyMFocTGxsby2GOPERUVxSuvvCIFaGdnJ1988QXgLgiQl5fH2LFjSU1Nld/hK58m9UPV29vLtWvXqKmp8fA9vVdFrLu7WwZfABw+fJhXXnmF7du3y9yaAOPGjWPNmjVMmDBBvjdcfq5CcAh3iStXrvDee+9JxRXcPpE/+clPmDZtmnzPe84JBd3lcpGYmMi4ceM8hNZwW9TVfy88PJypU6cyc+ZMzp49KwPkhKtDc3MzXV1dckxSU1N57rnnKCoqorq6muvXr8vPRo0axdq1az3uha+LbXhnBhBBSZWVlfKasLAwuUAaDAaKioqYOXOmh4/nQHKkvr6exsZGOjo6aGlpISgoiIKCAlmow1dFDO717wnDxkCbTr1ez9y5czEajbhcLnbt2sWoUaNYuXKldBUZimIqancBcOd2FSXD1Qt5fHw8U6dOZeLEiej1eumf/XVyUbRZ5GP+9NNPPeZBYWEhjz76KCtXrvTw1/YXJVD93IoN5NGjRzl+/DhVVVXcuHGDgoICOSb+modYIE60wJ3r9K233mLXrl3yc+9CLkuWLOGZZ54hKipKuvD4Wr58W9TtFZv9hoYGrl+/zuXLlzGbzWzcuFEGuzqdziEpge4Xd0199A7uRPJqnwl/RghPEXxz7do1qqqqsFqtUlClpqYyb9485s6dS2RkpEweHR4ezqxZs6iqquLcuXPU1dWxbds25s2bJ5VXfygPq0ZtZRZHII899hiNjY0EBQVhtVppamqirq6Ot99+m2PHjjFlyhRWrVrF6tWrPY7Mh7vN3rS0tHDgwAEKCgqkALJarR5lZOH2GIt/YkxETt62tjb27NnDRx99xK5du2hra5M5KcEtsBctWkRKSgq9vb3odLphG1PhriEETllZGSdPnpSKzrhx45g/f75U1np6eggNDfUQNkFBQbS0tFBfX4/L5SItLY1x48b5NF+oeh7qdDrS0tJYtWoVDQ0N7Nu3j507d8prQ0NDiYmJITMzk4yMDB566CHWrVuHzWbjq6++8ihYMW7cOBYsWEBKSor0wx8KwfttUGeIaG9vp7i4mCNHjsgANUBax6Oioli5ciXPPfechwIu3Hd6e3vp6emhrq6OK1eucOXKFZleqa2tTR6/L168mNmzZ0vfPKHEDiXCXUz4gwoXB+88pUKRF3my1fT19Xk8YyaTibS0NMLDw6mvr6e6utojtmIorELeqSArKiq4fPmyjHsQG+ioqCiysrKkHLlblhmXyyUVgJCQELq7uzl48CC7du3i+PHjcuMVGxvLjBkz2LBhA8nJyR730l8Qcqivr4/w8HCKioo4ceIEp0+f5uzZs3z55ZdMnjxZ5gr1d+VV3Nuuri527tzJ559/Tmtrq8ztrfZPT0hIYOLEidLVReRB9ef+DYR3bICQpZs3b8ZqtVJSUsKVK1ekn/1Q9c8vlFd/PNK4V9RWOqfTyY0bN2R0LNxO+7Vw4UJZ3Ugo6jqdjlGjRjFjxgzGjBlDXV0dTU1NlJeXc/PmTeLi4vx2V6Y+hjabzTzyyCNMnz6dhoYGdu/ezccff0xnZyfXrl2jsrKSuro6jEajtAh4RxcPJeoFytuqarVaqa+vv2MD5d1X8Soi0tUKzZ/+9Cf+7d/+jaqqKg/fJkF8fLy0ZHnnnR1u9Ho9DoeDjo4OEhISWLhwoUe6FuGjrfbzbGpqksfxTqcTk8nkN/NSnAIYjUaWLl1KbGws0dHRvPXWW9KvfO7cuaSmphIfH09hYSELFiwA4JNPPmHXrl0y44DZbCYrK0ueEPhD2jr1CUVTUxMHDhxg586dHD16lIaGBo/8wVFRUaxYsYJNmzYxe/bsO77rxo0bVFZWUlNTw4kTJzh06BBVVVXS1UCn09Hb28vevXupqqpi1KhRUnkVC+1QI8ZTIPz+vZXMu8kMdVlxUUSjvr6e2tpaABn0NZyIbAjiPgvZqdfrPfKY322uec/D8vJyNm/ezBdffEFHR4cc+/nz5zNnzhyPohz+it1ux2QySdeBmJgYGhsb2bVrFwsXLpTKq7+6C4qTuuDgYHp6evjkk0/YunWrzB8u0kqJPMsi9Z46fZ+vimZ8X9QnzSaTiRkzZnDu3Dn5fnBwMJWVlZSVlTF27Fh5ajfYa71frEAulwubzSYd2SdOnEhSUpL83BepW+4V7+pTbW1ttLe3y8U/NDSU7OxssrKyZPJ+kUJDBMXk5OQwfvx4jh07Rl9fHyUlJVy+fNnj2M/fUoeoLV/9/f2MGzeO3NxcOjo6iImJIS0tDZfLRXV1Ndu2bePYsWOMGjWK9PR0qTyoXSuGC++SjIBMhD5t2jTpOyispsJnSd3G8PBw6d/04Ycf8tFHH1FWViY/d7lctLa2Eh8fz6JFi9i0aZNcpIxG47AqROp222w2urq66OzsxGazkZKSQn5+PomJibKohrqIQXBwMDabjUuXLnkUEdHr9R6BiN5/x1eEhYUxb948wJ0No6enh5ycHPLy8oiJicFkMsmCA+D2QywuLpZCePTo0SQkJEhh6w/VtNR5gysrK3n//ffZu3cvXV1dMqhTHQQTGhpKU1MTe/bswW63y5Rara2tnD59mtLSUjo6OmR+xoFcZJKTk0lPT/dILzZceYjVc0ooe3q9/p7+vvoELCgoSFaBa29vl1bq4SpdqebrrGvq+6/+vzrrSVCQuxpld3c3lZWVfPDBBxw5ckQWEwF3erhHH32UhQsXSqXdny166vHMy8tj7ty5bN26latXr3L+/HlmzZpFUlKS32ySvVG70/T29nL+/HkuXrwoZbvT6SQ8PJze3l6Z23vt2rXk5uZK+epvKTG/LWK+hoeHExQUJHOEh4SE0NbWRnNzM5mZmUNmqPL5zFD7BomAiZkzZzJmzBh5jT+XjPNOORMZGUlkZCR2u10GbqWnp5OZmSmPh8DT9N7S0iLzv7a1tXHx4kXOnj3LxIkTpfLqT0EjarzbZDabefDBB1m4cCEtLS3s2bOHS5cuce7cOb788kuWLFnC3Llz5aI7XIuiQG3pEFbIsrIy3njjDRkgYjQa71jkRHBHf38/drudEydO8D//5/9k9+7dwO2AGfG9cXFxbNy4kV/96lcyklgEZQz3oiL639XVRUNDAw0NDYD72DI1NZXk5GRZEUxc293dTXV1NVevXuXgwYMy5Vd0dDS5ubkyEMb7b/gC778tXHREMI96jgm/wra2Nrq6uqR7kl6vJzs7m+zsbA+ruC/75V2dqaGhgZMnT9La2iqr+YlALHAvmGfOnJFH4zabjZCQEEJDQ+ns7KSsrEweMatPTsTP0dHRTJo0iYcffphVq1aRnp4u//ZwuE6I/gql7ev+prcbgfpVrew6nU4P5dUXljwRDDfQ31bPTfVcUyu8/f39VFdXc+zYMfbs2cOXX34pn2GDwUBWVhYPP/wwK1as8LCU+9rd5etQr39JSUkUFRVx6tQpmpqaqK2tpampiYSEBI/0fv64/gmEy4vYOHnLjby8PJYuXcro0aOlG4i/Kub3iuijyOUeERFBV1cXNpuN2tpaGhsbPfo52M+ez+6et0IhlAVhHfHH+tsDoVasjUYjhYWFXLlyhUOHDmG326VSqlZcxe8BFBcX8+6773LkyBG6uroICgqisbHRI3UPDH8093fBbrfjcrlktPKFCxfYvXu3PEoRRRkEw5FFwjt6d+LEiSxbtoxDhw7JI/66ujreeecdacmaPHmyx3c0NzfLQDxhsTp37hxHjx4F8IgmTUlJ4fnnn2fKlCl3pMDx9TwWli31TlhY68TngqtXr/Lyyy9z6dIlGhsbqa2tJTExkUceeYSHH36YsWPHSiXPX4JB1CmEvK14ApEHtaKiwsNyZTabWbRoEQsWLMBoNMo++XqB8T7ZUR/xq68RpzllZWWUlZXR19fn4afqHUMgvre/v5+YmBgmTZrErFmzmDVrFjNnzpRR+0M5turvFgranj17uHr1KosXL2bZsmUD/p66AIOwjqs3m+pxLy4u5uDBg1y4cAHAI4uLUOCHGnGaob7n4vWbZILL5eL06dNs2bKF3bt3c+PGDXp6euQ8yM/P57nnnuORRx6R7gLg+yDDb0I9p0JCQoiMjCQiIkIWkRFFUNSyyp9RK6zCMCM2lunp6cyaNUvmsAX/78+9oNZ7xowZQ35+PqdOnaKjo4OjR4+SnZ3N/PnzpTwdbL95n8xwdZBTf38/jY2N3LhxQx6l30uCZn9BPRiipGZJSQlffvkl4B7guro6Tp8+jV6vp6WlRQb7NDc3s2PHDj777DNZ1tFgMJCRkUFOTs5dBbI/oM7FKxSFoKDbRQna2trYsmUL7733HnDbYpeUlCQF0nC4g3grIHl5eaxYsYLq6mpKSkrkpqC+vp5PPvmEoKAgVq9ezbhx47DZbFRVVVFeXk5ZWRnXr1/n2rVrlJWV0dXVJb9TfMfo0aPZtGkTiqLIVCji2Eidfmi4USfHjo6OJj4+nitXrtDR0cGZM2fIy8sjJSWF69ev09fXR0REBAcPHuT999+XGw+DwcCiRYt47rnn7vCn9JdnVZ36ScxNoawLP2ORpqihoYG6ujp5XUpKCjNnzpTjZrVaPSzLvkJ9bw0GA5GRkbLd6s9EcnuhpAqlTox9SEiIVKD0ej2xsbHEx8cTFxdHVlYWs2bNYs6cOVLuqIOOhgq18upwOLh27RqffPIJBw4coL6+noSEBNLS0nA6nURERMg+hYaG3uEz3t/fT3d3Nw6HA6vVSktLC1VVVXz55ZccPHhQXqeWqcPlsiR84L0VSmEdV/dBjKvdbufmzZtcvHiRnTt3smXLFm7cuCG/T+Sofvzxx9m4caP0pRTz1tcb5W+DyWTCbDYTHh6OzWbj4sWLVFRUMGXKlCGz2g0m6kBD4bYSEhJCdnY2aWlppKSk3FEO3F9k5vdBbVBLTk5m9OjRVFVVUV9fL4086s3HYLvL+UR5Vfto9fX1cfr0aY4cOYLNZpP+E99Uw9pfUB/ZhYSEkJ6eTlpamrRmtba2snXrVnbs2IHVaqW1tVXuuIVvpIgUdrlcxMXFsXr1ah566CFiYmLk7tPfdtLehSREnfWgoCBaW1v5+OOPOXnypPw8JSWFJUuWMHXqVHnPhstlQC0oIiMjycrKYvz48dTV1dHe3i4/r6mp4Y9//CPbt28nPDxcRi5brVasVqu0LHtbsVwuF48//jg//elPmTlzpocvk1AafIXaum00GgkLC8NsNhMTE8O1a9fYvHkzNpuN/Px8zp49S1lZGeHh4bS0tMgCCwBTpkxh2bJlHum+hiMC/bugtrqKDZJ68XM4HNy8eZPm5mZ5UjBhwgQPK7k/Li7Cgge3/cW/6Vpx/CyOKoOC3Inx586dy8KFC8nPzycpKYnw8HAiIiLkAjvc/RfPVVBQEB0dHWzfvp2WlhbGjh1LZmYmWVlZBAUFERERwfTp0+/YWFRXV3P69GkZnFVaWkp5eTk3btyQpz1igfUOwBwK1H/DbDaTmJhIeHi4LFULbjeey5cvk5ubi16vp7GxUVpUm5qa+PLLL9m/f7+sPgVueRIfH8/kyZN5+OGHWbt2rVRcvXNO+zNivQO3+1J+fj45OTmcOnWKM2fOcOzYMVatWiU3Uv5+zC6eR7U73Ny5c5k8efIdLiv+clI1mAj54r3WDeUa7zPlVX1cVFtby/Xr1wGkA7R4iAMFMWgmk4ns7GzGjx9PfX09bW1t8nj56wgKCiImJob58+ezcOFCuZCqAzb8BaG0DGSZampq4uOPP2bLli3U19dLxaG/v58ZM2bIika+8mEKCQkhLy+PH/7wh6Snp/P+++9Li4bT6ZQ10b8Jo9HItGnTyMzMJD4+npUrVzJ//nwAWZoyMjLyDt81Xwstg8EgfX37+/uprKzk7bffJicnh9raWsrLyz2U89TUVGbOnClTJ6krpvkrAwVaqZVsoSi1tLTgcrmYPn06y5Yt81Be/dFfUKSNAvdJhkhNFxIS4pGIvq+vD6vVKv20xe9ERUUxc+ZM5s+fz7x585g6dapHmUq4HSU93L7oer2elJQURo8ejdPppLm5mY8++giz2Uxubi6ZmZnSxeXYsWMylZmolnXp0iVOnz5NXV0dVVVVUtkTpKSksGnTJtasWSOVoKHaWKr9bYUFLj8/X7rCieIfjY2NfPDBB1RVVRETE0NbWxttbW3odDo6Ozs5f/48JSUlHpXfZsyYwcyZM5k2bRpz586VJwU2m80nmRS+D2J+GgwGxo0bx5QpU3j33XdxuVzU1NTIeeuPRYq8Y12io6Mxm810dnZKf2Or1UpbW5vM1DHc7ipDjVpGREREMGbMGEpKSqQ7Vm9vLzU1NUyYMGFIXLB8tpVR70LUNYDb29u5evWqrE4EgVHnWN22rKws5s6dy7Vr16ioqABup8VQKwZiEoeEhJCUlMS8efN46KGHPILV/ClHn2Aga5vL5aK8vJzdu3ezZcsWvvzySw+hk5qaSlZWloxoH6rExd9EaGgo48ePZ/z48eTl5dHe3s67776L1Wr9Vt8zYcIEfv7zn/Poo48CePx+cHCwVC7U+GL+ej83CQkJpKenS+d6gMbGRurr6+WmRFhFzGYz69at46mnniInJ0eeioDv/Xe/LerFQmRSEMfRCxcuZP369YSFhck0aP7YP/VYCoVGBGWpN4PqylHidCQmJoZVq1bx+OOPM3v2bFmC05vhtG55n1qNGTOGnJwc0tLSZPnejo4Ojh8/zunTpz2KNTidTvr6+khMTJSKn3BxGYjp06fz/PPPk5ubC9wOnhzKcXY4HDKd0vjx42UGHVF6t6Wlhd27d3Ps2DHMZjMOh0MqP2KtUI/H6NGj2bBhA4899hjx8fEe4+eLLAqDiV6vx2g0EhUVRVtbG2az2S+fQYHa5S00NJSCggIuXbpEZ2cnVqsVm83G3r17uXz5MlOnTh0wdV2go56bY8aMYfny5dTV1VFSUgK4y3JfvnyZtLQ0IiMjR47yqkakWDAajXR0dHDs2DEefPBBFi1aBCADafwZ7wC0CRMm8Nxzz9HQ0MDFixc5ffq0h58kuAc/OTmZyZMnM3/+fIqKisjJySEqKkouRv70AItIbYDS0lLeeecdamtrSU9Px2AwyGILZWVlHkr6ihUreP7552X08t2CaYYDtcKcnZ3Nj3/8Y6ZNm8b58+f56KOPPIJ4BmLlypXMmTOHvLw8lixZIt83mUzS/UO4T/gD3vNn/PjxrFu3DrvdTkVFBVFRUdy8eZNTp07R2dmJ2WyW+QiFRXnu3LkEBQX5POfpYBEcHIzZbCYuLg673c60adNkFore3l6pcPgD6vGLjIwkMTFR5hMWCAVVbUWMiIggJSVFHjHPnj2bCRMmkJOTI62tasNBcHCwz/JOij6GhYWxaNEidDodV69epbGxkatXr3Lx4kUP2amWLQ0NDbS0tHj4+i5fvpzCwkKsVivXrl0jLi6O9evXS8VV/TeHEvW9jI+Pp6CggFOnTtHa2kp3d7csmy1S14nUdGr0ej3jx48nKyuLoqIili9f7pFGUqyN/iJvvi1iU9nT08Ply5dpa2vDYDCQnZ0tZbUv14u7ofbFNZlMLFq0CJvNRmNjIzdv3sRms1FfX4/VaiU7O9vvjW/fBbEm9Pf3Ex0dTVFREefPn2fPnj20tLRI+SKeTfVp+2DcC58orwP5IapTDQEebgP+eGzgjVoYhoSEkJOTQ2FhIQaDgf379xMeHs7ly5c9KuEkJiYyYcIEVqxYwdKlS2XlDX84Xh4ItbX05s2bfP755xw7dmzAYxCdTofBYGDOnDn89Kc/Zc2aNcBtlwNfCSMRxCJSjxUVFVFUVCTztL799tv097tL34ryfXa7nebmZqZPn84LL7zAhg0b5PeJxT80NNQjDZe/Ie57WFgYS5YsITIyktraWgwGA83NzeTk5HDp0iVGjRrFqlWryM/Px2QykZiY6GFt9cd5eS+on8/Q0FBSUlKIiYmhuLiYc+fO8fDDDwOe0ei+xnvRTk1NZcWKFTIyH5AnGUFB7mpOPT09JCUlUVhYSEZGBhkZGTz44INy46jOQhAUFOQXFjv12OTn55Ofn099fT2XL1+muLiYs2fPUlVVRVdXFx0dHdIdC9yyViyOCQkJzJ07l+eff55FixZRW1tLWVkZWVlZ0l1JlA0ejlMf9d8QRTRu3rzJrl27ZNCdkJvqYDvhmtPX10dubi5r1qzhgQceYPz48bLkq7/GQnwb1HqACBQdPXo0U6dOZfr06R5ZUPzJiKNGuAjExMSwZMkS6uvrcTgcfPXVV1itVgwGA2FhYR6ufyPFbcCbmJgYZs6cyUMPPUR1dTVTp04lKytLzuevKwT0XfDJzFdbFENCQpgzZw5Hjx7l2LFjgDtPoy/qwH8fvC0kubm5shJRVFQUhYWFtLe3y6AJkeg9Ojqa5ORkqbiCfwaLgKcwzsjI4LnnnsNoNLJ///47ro2Pj2fDhg08/fTTTJ8+Xb7vD0JIBLOo73NOTg5/+Zd/ySOPPAK4+yoWCJGiKDY2lry8PI/vEt/j73kIvds2efJk8vLy0Ol02O12ioqKaGtrw2g0kpKSgtls9hA0gS5svf0QU1NTiY2NpampiVdeeYUxY8awYcMG6ZfoLwEi3kdzP/jBD1i1apU8rfJOmdXX14fRaCQmJoawsDAiIiI8qvqI+ezv81WkS5w4cSJLly6VZZsvXLjA73//e06cOEFoaKjcPJrNZp544gk2bNjA7NmzMZlMhIeHk5qaKtMUDrcRRO3GER4ezvz584mMjGTUqFHs3r2bc+fODVgGPS0tjQkTJhAZGcm0adNYvXo1WVlZsg/CLSTQrXlqPcBkMrFp0yYefPBB4uLiyMjI8HCZ84dncSDUbUxMTOTxxx8nOTmZDz/8kGPHjhETE0NWVhYpKSnDEig43HjLkKlTp5KSkoLVaiUqKoqkpKQBUzEOBj6ZEepjjuDgYIqKivjhD39IYmIikZGRbNiwgYKCAnm9P1lD7gWRQBzcgis+Pt4jGGQgxC7cnxV1ERjS399PSkoKL7zwAuPHj2fmzJmUlZXR399PaGgoLpeLtLQ0Nm7cKBVXm83mN76EwioMyPJ9RqORvLy8O5TTgbDZbAQFuSv4+EM6pXtBbeEAt/VRbQ0QpYu/6fdHCnFxcSxcuJDr16/LrCf+GCSq3jyYTCYyMzPJzMz8Vt/R19eHzWaTFkd/VQTgtmVYp9NhMpmk9V+QnZ1NQ0MDo0aNIioqit7eXpqampg0aRKPPfYYs2fPlmU5g4KCPOrID5fF1RuhrERERDBv3jxiY2PJyMjg5MmT1NTUyEj17u5uIiIiKCoqYvLkyZjNZsaOHSvzgwrDhzpXcyCjntt6vV5a3QMJYUW12+2EhoaSmprKunXrMJvNFBQUoNfrKSoqIjU19Y4gr5GA6JNwWTKbzXcEgQ4VPnMbUJOSksJTTz3F+vXrZaUGbzN7oHKvkzQ4ONhv3QXUqHeNer2eefPmUVhYeEfdbpF4WuAviqs3wr/x29x3f4xEv1f8cQyGE6G4hYaG8vDDD7N06VL6+/ulldL7On/h+8gFf/PD/jqEa8rd2hoREcGf/dmf8dxzz0kXIBGxLnLBwp3j58vx9O5Lbm4uY8aM4ZFHHvFINyis4UajUZa2VVv2/M3vc7AIhHn5dQQFBXmsCeHh4TzwwAPMnTsXcMuaQF4z7gWfZA4a9r84ACLpsrqWdqCjPpYTVh11lRUhoIODg2U5w0B6iNURzepqaN74WwCMN+qFUp2iTZ3gHW5XoxrqCOWhRm3tUGf8ENHbYsH01/EaTAaSOf58nC4KEQyUT1GN2jon/CIDZTy9XVWEJVbIG6PRKEtwD4TaOgm3x9MfZKu6Aty3We9E+c1AGcPvigjuEaWB/fU5HAgxv0RaLO+TrfsFkZpP5JgOCQkZsnH0C+UVPBfTQJq0d0Pdh7vlRA1k1P5KA/mSiUUokB7g+0ngeFu3RvrCOBDqeSvuhz/LHmHhGelWHIHIDeltNf06eeN9rT+Np/oZ8y4Vq8b72fTHdIlDwUiQv+qxGo4qdf6GqIA3HPiF8iosP2LXPJDA0vBPRCnOgSprCIuyhoY/IpL+C587f/Y317iNeq0ApJUnUOSN+qTD+3RHWI29K8RpBBbixADwaXadkcy31hAVRRmKdvgNI71/MPL7ONL7B1ofRwIjvX8w8vs40vsHWh9HAiOxf/6/TdXQ0NDQ0NDQ0NC4RVCg52/U0NDQ0NDQ0NC4f9AsrxoaGhoaGhoaGgGDprxqaGhoaGhoaGgEDJryqqGhoaGhoaGhETD4LB+VoiiPAguBKcBkIBJ402KxPOOrNg0FiqKsBv4CmADEAXXAV8A/WSyWo75s22CgKEoVMOYuHzdYLJbkYWzOkKAoymjg/wEe5PYYbgN+bbFYWn3YtEFjJM9TRVGCgB8APwYmAsHAFeA14F8tFkufD5v3vVEUJQ54GFgNFACpgB24gLuPr1kslrtXNQgQNFkT2LLmfljztT4OH760vP4N8FPcN+CGD9sxZCiK8g/AJ8BUYAfwG+A0sB44oijKSJnQ7cCvB/j3f3zZqMFAUZSxuJW4HwAngH8GKnArekdvKQ4BzX0wT/8IvAJkAu8CLwEG3P1895ZyG8g8hrtPs4DjwL8AHwD5wMvAlhHQR4EmawKXEb/mo/Vx2PBlJYD/AtQAV3Fr8ft82JZBR1GUZOCvgAZgksViaVR9thj4AvcO+w3ftHBQabNYLH/n60YMERYgEfiZxWL5nXhTUZR/wj2H/wfwEx+17Xsz0uepoigPAc8ClcBMi8XSfOt9PbAFeATYBLzuoyYOBqXAOuBTtYVVUZRf4VaCHgE24FZoAx1N1gQuI3rNv4XWx2HCZ5ZXi8Wyz2KxlFkslpGaq2sM7vt7XK0QgLvvQCeQ4IuGadwbiqJkAcuBKuBfvT7+b0A38KyiKPdWpNw/GenzdMOt138UiiuAxWJxAH9768c/H/ZWDSIWi+ULi8Wy3ds1wGKx1AP/fuvHRcPeMI175n6QNffBmq/1cRjRarAOHWW4/c5mKooSr144FUVZgNtPZJuP2jbYhN46Wk7HLWTPAwcD3ZcQeODW664BFINORVGO4F5wZgN7h7txg8RIn6fCD7JigM/Ee1MVRTFbLJa24WnSsOK49er0aSsGD03WBK6s0dAYNDTldYiwWCwtiqL8V+CfgEuKomwDbgJjcR/x7Qb+zHctHFSSgc1e71UqivIDi8VywBcNGiRyb72W3uXzMtwLyjgCdEG5D+apUMYzB/gsS/X/PODY0Ddn+FAUJQR47taPO3zZlkFEkzUBKms0NAYTLVXWEGKxWP4F97FlCPAi8P/DHVxRDbzufUwboLwGLMG9qITjjnb+A5ABfK4oymTfNe17E33rtf0un4v3zUPflKFjhM/TT269/qWiKLHizVuK3a9V18UMa6uGh7/HHbT1mcVi2enrxgwCmqwJcFmjoTFYaJbXIURRlP8b+H+B3wK/B+pxW3j+J/CmoihTLBbL/+3DJn5vLBbLr73eKgZ+oihKF/AL4O9wp/EZiYgI7oD2bxrh8/Qd4BlgJW7L8sdAD7AUt3W5DMgBAv3Y2QNFUX6G+/krwR2wFvBosgYIcFmjoTFYaJbXIUJRlEXAPwAfWyyWv7RYLBUWi6XHYrGcxi1gbwC/uOWoPxIRgSILfNqK74ewdkTf5fMor+sCjpE+T2/5D67DnVGhHrci90Pc0bLzcLtIAASyddkDRVH+M+40YJeAxRaLpcXHTRpqNFmjoXGfoVleh441t17vSCNhsVh6FEU5gVs5KGTgYJJARygDARsdizuRPbj9zAYi59br3fzUAoERP08tFosT+Mdb/ySKophw5yq0AheHv2WDj6IoP8edH7QYWBLgLh/3iiZrNDTuMzTL69AReuv1bmmGxPv2YWiLLyi69RqQCs8thEK3XFEUj2dFUZRIYC5uxSeQA33u53n6LGAEttxKnRXQ3Aq8+2fgLG6L6/2guIImazQ07js05XXoOHTr9ceKoqSqP1AUZSVuYWQDvhzuhg0WiqJMVAfBqN4fg9t3EgI0uT2AxWIpB3bhDgj5z14f/xq3pedPFoule5ibNpjcD/M0aoD3ZuAOaOrCXYQhoFEU5W9x9+cr3BbX5m/4lYBCkzUjQtZoaAwaQf39vvH/vlX55qFbPyYDK3DvnMVi2myxWP5q+Fs2ONzaPe/EHRjSCWzF7XM3HvdRbRDwc4vF8hufNfJ7oijK3+GOTN+Hu4JRJ+4gmNW4LVqfAQ9bLJaAtdrdKtn4Je7KNx8Bl3GX4VyM+whvjsViuXn3b/Bv7pN5ehy31aoYdx8nAquAXmBDoEfiK4oiKoT1Ab9jYL/IKovF8vowNmtQ0WTNiJA1DzGC13zQ+njrvWHpoy99XqfgLsuoJovbuRev4Q6yCEgsFotLUZRVuHfRT+L2GwwDWnAL2t9aLJZdPmziYLAPd37CQtxHd+FAG3AYdy7Gzb6uwvF9sVgs5YqiTMdtnXsQt9JThzsy/9eBHgxzn8zT93H37RnABNQCLwN/b7FYqnzYrsFC5LANBn5+l2sOENglcDVZE+CyhhG+5t9iClofh6WPPrO8amhoaGhoaGhoaHxbNJ9XDQ0NDQ0NDQ2NgEFTXjU0NDQ0NDQ0NAIGTXnV0NDQ0NDQ0NAIGDTlVUNDQ0NDQ0NDI2DQlFcNDQ0NDQ0NDY2AQVNeNTQ0NDQ0NDQ0AoZ7zvOqKErA59SyWCxBd/tspPcPRn4fR0L/YOT3UZunI7t/cH/0UUNDw3dollcNDQ0NDQ0NDY2A4VtX2LJYLEPRjiFFUZR7vnak9w9Gfh8DsX8w8vsYKPNUFG7p7+8nKMhtfBOv34Q2hp7cD33U0NAYfnxZHvZb4XK5cDqdOBwOuagEBwej1+sJDg72dfM0NAKe/v5+HA4HTqeTkJAQDAaDr5s0bLhcLnp7ewkNDUWncx9IeSusamVWwzf09/fT398v1wKXyyXHRKfTERISItcDbV3Q0Bi5+LXyKgRVUFAQOp0Og8Ew4IIqLCXawjL8uFwu7lZiWKfTaWMSQAQFBXk8Y/fDc9Xf34/L5SI4OBiTyQRAR0cHPT09uFwuQkJCMJlMhIeHS6VWw3cEBQXdMU+/Dm3DoaExMvF75bWvr4+goCBCQu7eVHGNttMefvr6+nA6nR4WELFgGAyGrx03Df9HKHYjlf7+fqxWKxEREQB0dnby0ksvsW/fPrq6uoiNjeWBBx5g48aNxMXFAeBwONDr9b5stsY94nK5tE20hsYIxC81C6fTiU6nk/8Aurq6qK2tpb6+HpvNhsFgID4+nrS0NKKjowHfWYpcLhd9fX13WCHF/3U6HcHBwR79CVREP8WGQq/Xf+1CLu6N6L+/oh5Dl8sl3xdW/+Dg4BGtxAFYrVZqampobm4mISGB7OxsgoODPZ7HkYLD4SAkJASdTkdERAQul4uOjg62bt3Kyy+/TElJibzW6XSyatUqqbw6nU6/Ul6F9bivrw+4LW8CXWFTP4shISG4XC4cDgc2m43m5mZu3LhBT08PISEhBAUFYTKZSEpKIioqiuDgYCIiIjxOEQL9fmhoaNzGL5VX9ULpcDhoaGjg/Pnz7Ny5k71791JXV0d0dDTTpk3jqaeeYt26dQQHB0shPtzWPp1O5xHkIV7VvlhCCQp07uYPeDdEv/29797jI8YvUNr/Xejr65Nz0+VycfHiRf70pz9x5MgRVq9eza9+9SuMRqNU6keSD6zaGme1Wjlz5gw7duxg+/btHoorQE1NDTabTf6s3tz4A2KOCjerkYIYHyHP29vbuX79OtevX+fQoUNs376d2tpawsLCCA4OZtSoUTzwwANkZ2djNBqZPHkyBQUFwG0XtJH4HGto3I/4jfLa399/R8BEcXEx+/fv5+LFi9TX13P27FmqqqoAaGlpobKyEqfTSWRkJHPmzCEsLGxYhZPT6ZTuCvdqmQt0P0K1e0ZLSwvFxcWUlpbS3t4urasdHR2EhYUxe/Zs5syZI6+32+0EBQX5jdVKBH6oLasj3bqqRu1T3trayq5du3j99dfp7OwkOjqaM2fOUFRURGhoqK+bOmjYbDaPIM8rV67wxRdfsGvXLo4ePUpjYyNGo5GoqCgaGxsBt/La29srv8NfFES1v+43uVZ5ow5+DQ4OxmAw+J1MUvfJ5XJx+fJlvvjiC86cOcNXX33FtWvXALePMsCNGzdoa2sjLi4Og8HAwoULCQoKIjc3129kjoaGxuDgV8qr0WgE3ILq0qVLvPfee7z++utcv34dQPpQ6nQ6aWEtLy9nz549JCYmMmnSJMAtmIfj2EwIVuGb29fXd1e3AdFuf1sgvg09PT04HA50Oh3Nzc0cO3aMbdu2sW/fPpqamu64/oc//CHBwcGkp6cTGhpKTEzMHX6xvkStSKvHUIyj2uo6EhVbYUHU6XQ4HA7OnDlDZ2cnAI2Njbz33nsYDAamTZsGeFpqA5H+/n4MBoPc4F6+fJl33nmHN954g4qKCsA9J4SVNSgoiP7+fsaMGeOhwPtL/9UbSfW8FfLm69oZEhLi9/7oTqeT9vZ2WlpauHbtGgcOHGDnzp1cunSJ7u5umVlAKPE6nY6qqirKysoAaGhoIDg4mKeffprs7Gz5nf7ebw0NjW/GL57inp4ewsLCALdw+fTTT/n00085dOiQVFzBvfhERERgs9lISUlhypQpJCYmotPp6O7u9rhuKFELQKfTSXFxMYcPH+bSpUu0tbWh0+mw2+10dnai1+vJy8tj5syZTJgwgbS0NCIjI2U7/WUhHAi1ldjlclFRUcHZs2epqamhsrKSCxcucPnyZdra2gb8/X379lFXV0dycjIrV67kscceA9z3zG63yzH3BcIPF9z9PH/+PF999RXnz5+ntLSUzs5OjEYjCQkJ5ObmMnfuXAoLC4mNjfXrMfs2qI+Zw8LCcDqd8rOamhq2bt1KREQE8fHxjBkzJqAV1+7ubvR6vXR9+PDDD9myZQsnTpygsrISALPZLOey2Wzm+eefJzMzk7S0NFJTU+V3iU22v9Dc3MyJEyc4ceIEPT09FBQUsHjxYkaPHg14zvWvQyiAvkTdhtLSUt5//32OHj1Kd3c3zc3NVFZWys2F8GkVvrF9fX3SCit+f9++fUybNk0qr/7m8qGhofHd8Knyql44wX38s3fvXt544w327t1Le3s7er2e6OhoXC4X3d3dcnHp7u4mLCyMiRMnMnbsWCmogSGzugplMyQkBKfTSU1NDRcuXODw4cN8+umnXLx4ccDfO3XqFKdOnWLKlCmsXLmShQsXymM6f1gw7oZYFPR6PTqdjtLSUjZv3szZs2dpamqS42c0GmV/hAWzu7ubyspKqRh0d3eTmprK7Nmz/cLqI+aHzWbj0KFDvP/++5w+fZqbN2/S2dlJd3c3NpuN/v5+kpOTaW5uJiIigilTpkjlxd83H9+E2jpXVVXl4dfZ3t5Oe3s7586do7KyksTERJlKKpD6LdoaHh4u39u7dy//9m//xp49ewD3iY7T6ZSyJTU1lR/96Ef82Z/9GaNGjZK/J5RAX1vghcxwuVxcv36d3bt38+GHH3Lu3DlSUlKIiYnB4XDc8XvqcWtpaaGhoYHe3l5iYmJISUnxq+Amu93O1atX2bZtG2fOnJHv63Q6QkNDcTgcd900h4eH09fXh81m48qVKxw8eJCMjAzy8vL8qo8aGhrfHZ9qEHa7XR7HdXR08Nvf/pYPP/yQ6upq2tvbAfdCMnHiRMLCwiguLuby5cuA29qwb98+EhISWL58OWlpaUPulO9wOKTwa2xs5I033uDTTz/l2rVr1NXVAWAymUhOTiY5OZkxY8YQERHBjRs3OH/+PKdPn6apqYmoqChmzZoF4LeKK3ha5vr6+rh48SKHDh3CarXecW1kZCQJCQkYDAauX7/uYQkH2L9/Pzabjccee4zVq1cTExMzLH3wRp35oKWlhc8++4w333yTU6dOERsby/Lly5k9ezbR0dFcuXKFTz/9lEuXLnHq1CkKCgoYN26cVF77+vp8roR/F8S4CiWsqqqK3bt3S39yb5xOp9/4eX5bhJuLGKePP/6Y3/zmNxw9elReYzKZpLzJyMjgP/7jP1i2bNkdffb1s6p2Zenv7+fGjRts376dP/zhD1y8eJH4+HiWLVvG6tWrGTVqlEcxF7g9Xzs6Ovjkk0/YvHkzLS0trFu3jp/85CckJSUBnnLZF30DdxBde3s7drtdXmMwGOR1Xzcf1e5bwpc7Li6O+Ph4kpOTAf/LGKGhofHt8NnKq84fabfb2bNnDx999JHHLjs7O5u1a9cyZ84cDAYDNTU1FBcXc/bsWU6fPk19fT2HDh1i6tSpJCQkEB8fLwXbUOyqhWB1uVycPXuWTz75hOPHj8vPJ06cyLp16ygsLMRsNhMbG0t0dDQ1NTV88MEHvPPOO2zfvh2dTofVamXmzJkYjUYpSP3JEtDf3y8X/J6eHg4fPszRo0dxOBzExMSQlJREfX09bW1t2Gw2xo0bx7Jly4iJiaG0tJSLFy/S1tZGd3c3169fp7GxkV27dmG1WmlqamLGjBlkZWWRkJAwrIuIw+GQ8662tpb333+fCxcuUFRUxJIlS5gzZw4zZsyQ16ampvLqq69SVlbG6dOnWbt2rcd3BaLyCp7HsyL4cSBLVmho6Df6T/ozYrNps9k4ePAg//Ef/8EXX3wBIDMp2Gw2wsPDycrK4mc/+xnLli0D3EpQW1sbkZGRfhHQpN4s2e12vvrqKz777DN54pOens7SpUul7793PtqQkBDsdjsnTpxgy5Yt7NmzB71ez6JFi/xuc2K326WPPbjHUWwyHA4H0dHRjB07lujoaLm56urqoqKiQroOGI1GbDYb586dIzExkcWLF0vl1d/6q6Gh8e3wycqrzhPa0tLCzp07effdd6WjPbgF8YoVK3jhhReYMGGCXGytVivvvPMOL730EmfOnKG4uJhXXnmFmJgY1q1bB3jmcBzs9vb393P27Fl27dpFaWkpAMnJyaSnp1NUVMTGjRtlepbOzk4iIyPJzs5m7NixREZG8tJLL/H222/LALWpU6f65VGW2vpSXFzMv//7v/P5558THR3NvHnzMJlMMhrbaDTywAMP8OKLLxIfH09DQwM1NTWUl5dz8uRJ9uzZQ0lJCXa7nf3791NWVsbKlSt54okniImJkQvscLhQqP06m5ubOX78OHFxcfzN3/wNM2fOpLe3V2a90Ov1zJs3j8uXL1NcXExxcTFtbW2kpKTI9gYq6nlmMBiIjIwc0NomClAE2mIvykmLZ2vPnj38n//zfzwsrr29vfI5XL58Ob/85S89Ni56vZ74+HiftH8gxDgEBQXR3d3N8ePHOXv2LODeZCQmJnr444oxU/voX79+nY8//pgDBw4AsHbtWlauXInZbJa/5w8WSVH6W8gDu90u/x8bG8vChQtZt24dqampWK1W+vv7KSkp4fXXX5fKa1hYmHSFqa6ulvIK/CfoTkND47sx7MqrsHwFBQXR1tbGwYMH2bp1Kzt37pTFB+bMmcOSJUtYunQpEyZMAG5bPU0mEytXrqSuro7r169z48YNDh8+zNq1a7Hb7UOSi1JEWQcHB9PX1ydzQra2tjJlyhSeeeYZJkyYIIN7BKJqD0BaWho//vGPcTqdbN68mS+++IL09HQyMjKkNcAXx3UDIVJIibY0NjbKRd/pdMrk9YKMjAwmTZokF/qkpCSSkpIYO3Ys48aNY/z48ezevZvPPvuMjo4OqqqqaGlpweFweCwiw6Egqf+G3W6XyqiYZwaDgc7OTpnNIjMzk0WLFrF161bKy8spKSlh/PjxwMipnR4cHHxX62og5w4Vyqvdbuf06dNSYTOZTOj1ehmUV1hYyLp16zwU166uLp+5ttwN9Th0dHRw+fJl6uvrAbd7VUpKytcGkzkcDs6ePcv+/fvp6uoiOTmZ5cuXM3fuXIxGo1TYfeEe4T33jEYjeXl5PPjgg4SEhFBbW4vBYGDs2LEsW7aMJUuWMHHiRGkRFxX91DJX/XyKjAQaGhojg2FVXvv7++WuvqWlhYMHD7JlyxYOHTokd8hz5szhqaeeYuXKlTIIS6S+slqtGAwGkpOTmTdvHlu3buXGjRv09/fT09NDd3e3hzAbLITQCw4OxuVycfXqVa5cuQLAuHHjeOihhxg7dizgXiBEpRtxvc1mIywsjIyMDH74wx9itVp56623+OCDD8jJyWHjxo0eKXx8jXep3fj4eGbMmMH27duJiYmhpaWF3t5eeV8KCgqkNRLcwVkmkwmz2cyUKVOYNGkSMTExVFVVcezYMYxGIx0dHdTW1mK1Wj0CoIYadb9iY2OZOXMmycnJtLa2EhERgd1ulwugGMesrCxiYmKoqKigpKSErq6uEVW9R5T4Hej+B2JxDWHBDwsLw+FwcOLECS5cuCA/t9lsWK1WoqKiWLp0KWvXrqWoqIjOzk7Cw8PR6/V+p7iCp4LX2trKzZs35c9JSUkUFBSQkJAg3xPjJqyubW1tXL9+nerqasDtpz5q1CgZiNfX1+cXVldwK68TJkzg6aefZuzYsRQXF+NyuZg5cybr1q0jMTERcMsao9GITqcjMjLSw43H+5kM5GdUQ0PDk2FTXtVWUavVKiNk9+zZQ0tLC1FRUTz66KM89NBDFBYWyihfoSCJKHaxwCYnJ5OZmcmpU6eA2wUDxLVDhVCUBb29vdTV1UnlVWQQUCtJosRmSEiI9OMtKSlhz549/OY3v0Gn0/HII494pAvztS+l2oJTUFDAr3/9a5YtW8bRo0c5c+YMlZWVdHd3k5uby7hx44iKipLXqyuOiZ9nzZrFk08+CcDx48fZvXs3ERERMo3YcKG2zI8ZM4a/+Iu/wGAwyHsv8rqKBO5w2//X4XDQ0tJCe3s7ERERUjkIdOVVWNrFszZQQEwg9c/hcMhTg+bmZnbs2MGJEycAiIqKksfKeXl5/PKXv2T69Ol0dXX5vXuEOlVZS0uLhwtMXl4e8+fP98iO4H0yIIKgxKZMZCbwR3Q6HWazmYKCAtLS0mQAXWxsrFRcwT0vxcmYwWDw6LN6znqXfdbQ0Ahshk1DEjv63t5e9u3bx7vvvsuhQ4doaWkB3ML3qaeeYsmSJQDShUBdmtNkMnlUXFEvNCKCfChQtyE4OJjc3FyysrKoqKjgxIkTvPfee5hMJqZNmyb9YtUJ4MVCKo7lFi1aRG1tLTU1NZw5c4a9e/eyatUqwsLCZP1uXyuvcDtqNzw8nMLCQjIzM+np6WH//v0ymX1ycjLZ2dkei6Cw5MDtSPVRo0bx8MMP09DQwLFjx3A6nTLYLi4ujszMTI+iD0OlLKnva3x8PKtWrZLJ68HT308shGrro8Ph8FAaAhGxERT9a2ho4PLlyzQ3N0vfbhEo471pFO/5szKrbtupU6fYvXu3zBctNp7R0dE8+uijTJ8+HXCnV/LX8qHqFH3gVlzr6uo85uHo0aOZNGkSer0eu91+h89/c3MzBw8e5OjRo9jtdqKjo8nOzr5j0+lvhIaGSjckgajGqNfrPTb8NTU1HllO1JkKIiIiPFwK/HmToqGh8c0MubQSAjYoKAiHw8HOnTt55ZVX2LdvH83NzRiNRjIyMpgzZ46Hv+hAx5XqnXNTU5OsiqPX6wkPD5eL1mAvrOrcjsHBwSxatIhnnnmG1NRU6urq+Pjjjzl8+DDNzc2ynQMJR7H4GAwGVq9ezcaNG0lKSqKhoUEuqv4kVL3dL5qbm7FarR7KaVJSEuPGjfMI+PBGKELCxzc6OhpwW4IOHjzIyZMn5diKZOPDQVBQEEajEZPJNKD/qjpNmFAg/Flpu1eEQiq4du0aJ06cwGq1Ehoaelfrlb8j+iT8XA8ePMgHH3zApUuX5DVOp5P4+Hj+6q/+io0bN8r3/dk9wtvvuL6+3iOqPjQ0FLPZLDdgA8mfq1evsmXLFnbv3k1vby/5+flMnz6duLg4eU2g+HCrg2cF58+fZ9++fdIHGG5vVKKioigsLCQtLW3Y26qhoTE0DIt5T/igXbp0ia1bt/Lpp5/S29tLREQEkydP5sEHH2T58uUy4EckxvcmODgYu91OY2Mjp0+fpra2FoC4uDgSEhI8KlcNpnVILGriOH/ChAmsXbuWqqoqNm/eTFVVFe+88w4Gg4Hly5dLFwJw7/5FfliXy8WFCxeor6+nsLCQxYsX88knn1BdXU1paSlpaWkyytYfEP3u7e2lsrKS/fv389VXX9HR0YHBYGDixInMnz+fcePGyf6pfw/uLBhhMBgwGo3y+LKiooLa2loPi/pwHe8JC7lacRHzRn1ScO7cOerq6u4alR9ICp5AvfB3dnbKjVdISIiHYhsZGYnZbPaYk/7aX7U1+ebNm3zwwQds3bqVrq4umbjebrczffp0li5dyujRo2XgYGRkpJQ7/hA0qcY7L++NGzc4e/aslH+FhYUeFcAG8p/v6uryqFaYmZkp/b3F3/BH5VVdtln44osAQ3CPeWlpKR999BF79+7l5s2b8rPe3l6ZImv9+vUe98gf+6qhoXHvDJnyKhQQIUiKi4v58MMPOXLkCL29vYBbgC5ZsoSNGzd6BDx5K29qwaXT6SgvL+f06dPStUDkDB1q1It2Xl4eDz/8MA6Hgx07dnDs2DHq6uq4ceMGjz76KBMmTMBgMGAwGOQRXltbGzt27OCLL77g6aefJjc3l6SkJFmha/To0eTm5hISEjKgIjicqBWBxsZGDh06xN69ezl16hTNzc1MnDiRTZs2sX79ernpuFu0uroPUVFRpKWl0dbWRldXFzdv3qSjo0OmpxpOvAPTBOq+37hxgzNnzlBfX4/ZbGbUqFHyqFVc56/K3L1iMpmIjIyko6PDQ6k1GAyMGjWK9PR09Hq99C30t/6KDYewPLa2trJjxw4+//xzaZ0Ux8krVqzgxRdflLlQY2NjfdPob4G38lpbWysDB8WcVPdDBLiK69vb22lra/PwY4+Li2Ps2LEEBwfLQg7+qNAJK6va3Ue9RpSVlfHmm2/y4YcfUlZWhtPpxGg0SvkZGxvL0qVLWbZsGSaTSRog/LGvGhoa986QakbCgtPb28uOHTv405/+RGVlJSaTifT0dGbMmMHixYvJyMi43aABlDWn0yn9l4KCgujs7KS6upq+vj6mTp3KmjVrPFwOhiqpulrghYeHs2DBAn7605/y4x//mISEBK5du8a//uu/8k//9E+8+eablJSUePTJ4XBQU1PD0aNH+eCDDygtLWXChAmYzWY+/PBDtm3bJhV7X1c1UvvTXbt2jR07dnD48GF5LJebmysrm4nrBzpWV/vqgTtl2OzZs2VgSXNzM9euXaO8vBzwdNHwFer73tvbi81mIzQ0lLS0NHJycggLC8Nut3uUUw1kvF0FxHwNDQ0lOTlZBsiog9j8ib6+Po9yqB9++CH/8A//QFlZmbT0Cx544AE2bNggfSUHwul0+t3Yqu+7zWaT/W1ra+PSpUsex+WdnZ3SJ723t5erV69y/vx5WUUM3DlQxWYxkNOhnTp1im3btnH58mV5wieMHXB7syxcnQYqm6uhoRF4DInlVQgPvV5PV1cX+/fvZ9euXbL8ZEREBOPHj2fBggUUFBTI6O677YjVuQdramooKSmhurqarq4usrOzWbx4MUlJSVLhGupgJ2HpiY2NZc6cOcTExKDT6Xj77belK8GRI0dYt24dq1evZvTo0cTFxdHR0UFYWBh9fX2cPHmSWbNmsXTpUurq6ti8eTPHjx/38LP0ldXVOydiZ2cnFRUVtLa2elwn0mOJ49h7ue9ms5mUlBTp4gFu/+X6+nrGjh1LaGioT30Pvfve1NREQ0MDaWlpLF26VOYCVafJUp8MBALe/p0tLS0DKmvBwcEeQS7+Go0vChIIa9yJEydkKruIiAipyE2fPp2cnBxsNhv19fXU1dURFhaG0Wikt7cXu91OYmIi6enp8vTDH47TvTeF4eHhJCUl0dTURHt7OyUlJRw9epRly5aRnJzs4ccaGhqK1Wrl2rVrMjg2KiqKqKgoj4BEf7OmD4Q46dDr9bS3t3Pw4EHef/996dMs0iSK8tVjxoxhzpw5Hu4C/hAIq6Gh8f0ZkidZneD+yJEjWCwWTp48KT8XR/0zZswgNjZWCs+B/FTVR7iXLl3i7bff5rPPPqO8vByj0UhaWprMBztcFgTvto4bN44XXniBvLw8PvnkE3bv3k1FRQUvvfQSBw8eJDU1lSlTpjBu3Dh6enrQ6XQ0NzfT3t5OTk4O06ZN44033sBms3lE3PuLoiBqw4eEhEjLcG9v7z1F3QtlUO2LWF5e7lGKNDw8XJbgHGx/5e+CuO8Oh4OjR49y9OhRMjMzKSoq8ojONhgMMvtAIB1FqjNglJWVcfXqVam8qhV3f5qD3wa125FQ2B5++GFeeOEF6uvreeqpp7h69SpWq5Xg4GCZu7ixsZGNGzfyu9/9TuZo7u3tJTw83FddAe50b8nIyKCgoICqqippTT106BCvvfYaL7zwgkeuV0FfX58cW7PZ7BHgFWjj3NfXx8GDB/lf/+t/cfjwYcA95uoUg0ajkSVLlvD8888zfvx42T9/iSfQ0ND4fgyq8iqObcTCWFJSwo4dOzh06BBdXV3odDqSkpJYtmwZS5cuJSsrSyop3jtitUWrt7eXiooKPvnkE95//315HL9y5UoeeOABeSSk9hUdakQ+V1GJKSsri8TERDIyMpg2bRrHjx/nyJEjnD59mtOnT3P8+HHS09Npb2+XCuClS5c4ceIEDQ0NhIWF0d/fT21trfQx9JUF0tsyZ7fbcblc0m9w4sSJLFiwQC4E3xRkph6TqqoqTp06JYNNIiMjSUlJIS0tTeZs9FXKIvF3Q0NDcTgccgxv3LhBamoqtbW17N+/n6CgIEwmE2PGjCEpKUn2XRSo+LoqR75GnTXBarVSU1NDQ0PDXZUX9dj5q4VObK7AHWE+UBudTicVFRXs3r2bjz/++K7ftXXrVhYsWMAjjzyCXq/3iw2JdzDhpEmTuH79OocOHeLGjRuAu+zrtm3biIiIoKioCJvNht1up7e3l+PHj3PlyhW6uroICQkhNTXVo+ytv46rQBgwgoOD6ejoYN++fbz00ktScRXPbFdXF06nE5PJRFFREStXrmTSpElSrvh7PzU0NO6dQVVe1bXEm5qa+PDDD9m/f7+06kRERPDYY4/x7LPPMmnSJI/ULt7KSl9fn1yQysvLeeutt/jss8+k4pqfn88LL7zA0qVLgdtO/MO52Kjzv4K7f3PmzKGoqIjq6mo2b97M22+/LSvhnD171sNaefz4ccLCwmhpaaG7u5v29nZKS0tJTk72efUmcR87Ozupq6uT0eiizO0TTzxBdHS0HLu7Ka/ex/AdHR1cv35d+siaTCaio6PlUacvyziqy/OWl5fz2muvceDAAZxOJzdu3ODdd98lLCwMq9VKXFwcixYtYuXKlWRmZgIElPUVbm8Qv+5+B8JiL6LP+/r6KC4upqamRn4m0mZt376dXbt2eeT+HIjGxkb+9//+3zidTp555hmZ4s8fApqEjIuKiqKoqIhp06Zx5coVnE4nnZ2dnD9/nt///ve89dZb9Pf343A4cDgc0i0H3HmZCwoKPI7S/TEIT424793d3Rw8eJDf//737NmzB3CPr9Pp9JCrubm5PP/88yxZskT2Kzg4OKCsyxoaGl/PoCqvQuFqaWlh586dbN++nXPnztHf34/JZGLWrFmsWrVKJgYXiplaARxoMa2qqmLv3r2cPn0acAtg9feI3/PVkZDaSiwU7qysLH7wgx8wefJkGhsb6ejooLq6moqKCi5dukRFRQU9PT309PRIS2xbWxuNjY2yDK74bl8sLGJMbt68SUVFBTdv3iQoKIilS5eyfPlymTRcvWG5G+rxVFffEoFC/qAYgGdlpurqaj7++GMZrW61Wrl48aK04gQHB3PhwgXeeecdMjIyeOSRR1i/fj1BQUFyMfVnC6zg21ij/PF4Wb3xbWpq4uzZsx7Kq7DKOp1O+ZzFxsZiMBikQhcaGsqECRPo6uqirKxMnpSsX7+eyMhIv+m3OrPF6NGj2bRpE5GRkXzxxRdcuXIFm81GaWnp136H2WxmxowZ5OTkeHyvP/RPjdjECsW6q6uLzz//nFdffZX9+/cDbhcAvV6Pw+HwkDGTJk1i6dKlsnCKUPr9WUHX0ND4dgyK8up0OqUV0ul0sm/fPrZs2cLFixel8jV//nyefvpppk6dKn9P7QsprlNHm/f09FBaWsrOnTs5c+YM4K6K9Pjjj7N27VqPYBJf5mZUK62i1GZQUBDp6emkp6cDbque1Wrl9OnTvPbaa1RUVBAREcHUqVNxOByUlJTQ1NTE9evX6erqkon8B7JKDyXeyfgdDgdtbW3Y7XZycnKYNWvWgPXTvw71NeoyvsHBwYwePZqkpCSPhcpXi4z67xqNRkaPHk1XVxeFhYUeGTHArcxWVVVx6NAhDh06RFNTEykpKcycOTOggkL8RTH7rqifj56eHhobG+nq6pKf9/b2euTutdvt0g8WbleI0+v10pUF3Bk2vvzyS+bOnSvljK99sYVcFMFpDzzwAMnJySQnJ0v3ltbWVulXLwwBQUFB0sc8JiaGCRMmSLcBf1LsvOeh6G9raysHDhzg1VdfZceOHYD7+bTb7XR3d3sUp4mMjMRut1NSUkJERAR6vT6gnkcNDY17Y1CeavUC2NLSwpEjRzh06JCM8k1LS2PFihU8/PDDREZGSmVXbW0TSo0QNI2NjRw+fJht27axfft2bDYbsbGxPPnkk2zcuJHCwkJ5ZDRUqbG+C3eLyBY5XwsKCsjPz5elbsePH09CQgKHDx/m1KlTXLp0iebmZnmsp3afGE7UVnGhUIaFhREZGenRnm+678HBwZhMJvr7+ykpKaG0tFRWvgkLC2PRokXMnDnTo/yur8ZSvQHKycnh7/7u7+js7GTUqFHExcVJK7HT6cThcHDz5k3Onj3L/v37qaqq4r//9//OU089JTdWQnHwl7l5N/y9fV+Huu0D1bf3vlan00kr3fPPP8+f//mfc+nSJX73u9/R2Ngor6uurubkyZOMHTuW7OxswHfPojfe+aY3bdrEihUraG5upqGhgY6ODpnBpaqqiqNHj8qA2aSkJA8XHX/auIjqeurStt3d3ezZs4eXX37Zw+Lq3W6xftjtdo4cOUJjYyNTp05l7ty5FBUVyZOi4TYGaGhoDA2DIonFcb3VauXMmTNcuHDhjp1+YWGhTI8kKk4JvyyDwSC/o6WlhdLSUs6ePcvOnTv5+OOPcblcZGZm8uSTT7Ju3ToKCwulouEPi4kateVYRCu7XC6ZAkqn0xETE0NoaCgulwuz2UxWVhZpaWlcvHgRu93u4b/lq8VFLJB2u53Ozk7sdjsxMTGMHj3aI/r66xYCu90uXQquXr3KW2+9xb59++R3FxYWsmLFCgoLCz2O4321uKjnUnJyMuvXr//G31m+fDkrV67ktdde4/PPP+cPf/gDnZ2drF692mMD4g9uEXfDnxSYb4u67Q6Hg+7ubg+/VpEZpL+/n97eXkwmE1lZWTzwwAP86Ec/YuzYsezdu5fq6mqCg4NlfuWgoCCysrI8kv/7i9Ij5pKwmqalpcl8yw6HQ1qedTodZ86c4fr161J59U5T509453hubGxk//79vP766+zevZv+/n7piiPiKIQsEfPAZrNRXV1NdXU1p06dory8nODgYJYsWfK1uX01NDQCi++l+XmnQSovL+fAgQMeZQhTU1MpKiq6o3yhWFTUC8LNmzfZvXs3W7du5fz581RVVeFyucjLy+M//af/xLp16xg9erTHEb0/W42EJUhkJBA4nU4Pq5xOpyM8PJz09HSysrI8FpfhXjDFeIpAlYaGBqqrqwF3loEZM2YQEhIiE/d/3f1XB1p8+eWXMlOE0WikqKiI5cuXk5+fL79DPZcCiYKCAn76058SGxvLa6+9xt///d+j0+l44YUXALdCEYj9ClTUCm1ISIhHcYXc3Fx++tOfsmnTJq5du8YvfvELtmzZQk9PDyaTSZ4WTZs2jcceewy9Xo/NZvOrss2CgTbuer0es9ksZeuoUaM8Nptms9lDifOHjYtajjudThobG2lvb+fUqVNs3ryZffv20d/fL9Nhfd33ANK63tHRwRdffEFmZiY5OTnk5OTc4aamoaERmAyq8nr9+nXOnj0rI9PBfay1ePFiUlJS6OnpkeVSBTqdjq6uLk6ePMmhQ4c4fPgwR48eldaDtLQ0nnzySdavX8+YMWMA/LZM5UAMZElUW3eEwDUajSQmJpKSkuKxuPhKeYXbfp3t7e0kJiYybtw4mZZsoEVP9MlqtXqknNqzZw8fffSRLFJhs9nIyMhgxowZHgnV/UnBc7lcUulRW+/gdtCZcFkxGo1kZWXx4osvcunSJd555x0OHTrE0qVLycjI8Hnw3d34ujEMFLyrty1evJjz589z9epVAOmeJMZq0qRJjBo1ij179vDGG2/w5ptvyu8Riuvs2bNZv369VFb99X6o/dK9CyqIFIP19fVSlqp9zf0NUTXx9OnTlJSU0NjYyNWrVzl58qT08Q0ODr6jmIaYw8J1rK+vj6ioKIKCgmhtbaW7u1u+BurmWEND406+95m7egFsbGyksrKSlpYW9Ho9WVlZzJs3j/nz5wO3/UHVSq/NZuPw4cO8+uqrfPTRR9jtdqmwxcTEsHr1ah588EEPy20g+BGqUQtNEZSmDjJwOp0y84Cvy8J639eQkBCio6Pp7e29Q/B7Kzri/2q/w8uXL/PBBx+wf/9+6WsYGRlJVlYWGRkZhISEDJh1wteo8xV/HS6Xi56eHsLCwkhKSmLNmjVcunSJy5cvs2PHDp544gkZ9ayuAuUPqOdgIGO32+nr68NkMrFo0SKPPK5GoxGbzSZ9InU6HTt27GDz5s2yYpzZbJZuTtOnT+eXv/wly5Ytk3LKl8Gg94J6TqmfyY6ODmpqamQ/RT98lYrOG3W8QmNjI1u2bOGjjz6isrKSjo4OaT0WfuYiVsIbYWkVa0t3d7csTT569GiysrKIi4v7Vr76Ghoa/s33Vl6FEOju7qa2tpbKykoAoqOjmTp1KpMmTZLX6nQ6uru7aWpqoqamhurqakpLSzl37hz79++Xvmo5OTlkZmaSn58vfVxFuhvv3KqBTH9/P3a7ndraWi5fvkxNTY2H8u4LvPPW5ufnk5qaSnFxMcXFxTJhv/BXFqgXeKG4lpSU8M4773Ds2DG5gE6cOJFVq1axevVqjyCKQLaIqDcbBQUFFBYW8vHHH/Pxxx+zcOFCv1VeBd6bJaHc+FtAz93wzg2sts4ZjUY5Tx0Oh8w7LeZjVFSUTIdmNptZs2YN8+bNIzQ0VBbnCKS5qW5vb28vLS0tsn9JSUnEx8d79MeXSpw6AO7mzZt88cUXnD171uOa/v5+6fohEL6xIq+yKKCirowHYDKZKCwsZNasWTJbiLoKl4aGRuDyvZ5iteDr7e2ls7NT5lLU6/VERETQ2tpKTU0NsbGxMg9jaWkp1dXVFBcXc/r0aVniMDo6mkmTJjFjxgymTJlCQUEB48ePl8euvoxEHyyEgBUWkr6+Pmmx7uvrIyEhwSMF2HD3Vx0AodPpMBqNGAwGWlpaOHz4MIcPH2bdunUDBj9YrVZp8aiqquK9997jk08+oa6uTl4zdepUXnzxxTvyTAYqwl8Z3PdMJIF/7733KC4ulkoS+I/Fyxv1HBOKgbC0e1vW/fH5826nCCrs7u6WuVxFJhPhuhIeHo7D4ZCKXX5+PmvXrmXlypXS51wElQYS6vaKgiD19fXodDoyMzM9YgZ8fdohNnJdXV1cuHCBa9euyffDw8Ol9bWvr8+joE1fX59H3l5w9yUqKgqdTkdPTw96vZ4ZM2awcuVKJk+ePPyd09DQGFIGbQvqvbBZrVaKi4vp7e2luLiYmJgYGhoaOHz4MFevXpXCRyiuZrOZ9evXs3TpUnJzc0lLSyMhIWHEOdh7BxV0d3fT1dVFd3c3Y8eOJT8/n+joaOnXO9yKnTpgq7u7mytXrsi8mBcuXGD79u0UFBQwYcIEj9+rra2loqICq9XKlStXOHDgAKdOnaKhoUFaQhISEpgwYYK0gghFN5CVV4EIwktISGD69OkkJibKcpUCf1WE1O1yuVx+aR3+OoQVDtx9eeyxx3A4HPz2t7+Vc1ecDIhCFDqdTp70zJ07l1/84hfMnj0bs9nsN5bJ74LamlldXc2xY8eor68nIiKCzMxMkpOTfd4/IduEDDx16pRHakWn04nVapVBrUIeeccJqMnIyCAvL0+WkI2Li2PVqlWsXbuWxMREeZ1mddXQGBl874AtIUhEVK5Ap9PJsqKlpaWYTCZaW1s5f/68hwUqMzOTjIwMpk+fzvLly5k0aRLR0dFysRF/Y6S4CojE4SaTie7ubs6cOSOFdk5ODllZWfI68K1i19fXh81mIyQkhMjISDo7Ozl69CjvvvsuEydOpL+/n7i4OIxGIydPnuTChQtYrVaqq6v56quv5HwIDw8nNzeXuXPnymwFwIgaV3WwzJgxY0hMTMRut/u18uPtfw3ufgj/T6vV6nG9v7oRqCPVQ0JCyMnJ4emnn6apqYk9e/bgcDioq6uT/ent7aW3t5eEhAQWLVrEs88+y4MPPhhwSvs3UVNTw+XLlwG3+0Rubi4ZGRke/fTF8yfmkVBEW1paaGxslJsJcdojgs7ULgPgdmcaPXo02dnZGAwGQkNDyc/PZ/z48QQFBdHT04PZbGby5MnSNUlk/Bgp8kZD435n0LahISEhxMfHExERQVdXl0fpU3FUB56WxwkTJrBs2TIeeOABpkyZQlJS0h0LiL8eVX5XhFIaGRlJY2MjBw4coK2tDavVSlRUlMxj6CtFQS3cw8PDmThxImlpaXIBqaurY/PmzRgMBkwmEwkJCRiNRioqKigvL8fpdBIcHCwXIrPZTGFhIUuXLmXBggVMnDhRjudIsoKoo71FdSPhM+lPqJ8lg8FAXFwcZrNZvqdWKjIyMmSlN8DvM3yo525aWho//OEPmT9/PmVlZezYsYMjR47Iz9PT03nxxRf5+c9/TkREhDyKDvQ5Ke5Be3s7LS0tcmMcEhJCeno6o0ePBm7nYPZV6Wl1sGBaWhpjx47l5MmTdHd3S1kjNn9CDprNZtLT00lNTWXOnDmsWbOGtLQ0bDYbJpOJ2NhYj1Ld6o3/SNuYaGjc73xvn1chFEJCQli3bh0ul4s33niDK1euyOvUO+fY2Fjmz5/PlClTGD9+PHl5eYwdO9bDz1O9M/fnxfK7IJQZUaTg6tWrdHd3A/jETcAbdXECg8HA+PHjSUtLk0p3f38/TU1N2O12QkNDuXr1Kn19fTL4zOVy4XQ6MRqN5OfnM2/ePObNm0dhYSEpKSky1dZIQ11w4+rVq9TV1cnSpP6GGCODwUBOTg55eXmYTCasVivx8fGsXLmSzMxM4uPjGT9+vPw9fykjejfUyqvBYGDSpEmMGzeOhoYGJk2aRFlZmex3XFwc8+fPl3Knr6/PbypofR9E9o6GhgYaGxs9gpdMJpO8R76cl+px0ul0jBs3jkWLFlFSUsKePXtkZgFwrxdZWVmkpKSQn5/PpEmTSEhIIC0tjXHjxt3x3eoqjRBYaRU1NDTunUEJ2BJZAPLz86U/4+bNm2lvb5eBETabjcjISGbNmsWGDRtYvHixR45PIUyFwjpShY2w0AmlX9TmHjNmDPn5+VLw+ovADQ4OpqCggIULF3LkyBE5loDHMV9ubi5hYWHU1NTgcDgoKChgxYoVLFu2jIKCAo9CBCPp6E5stITF/ObNmxw/fpzu7m7S0tI8Atv8YTwF4nkzmUzMnj2b1atXc/HiRRYuXIiiKBQUFNDX13dHlHegIJSYiIgIIiIiGDt27IDXORwOgoKCZEBQoCKquAlf9dLSUmpqatDr9fT29hIaGup3irmQBdHR0cyYMYPm5mbCwsI4e/Ysra2tpKSkMHfuXAoLC8nOziY/P19WEgPkphkGdn/wB2OAhobG0DAo0kydvioiIoJNmzaxYMECmRrI5XLJKlOixKj3UaWwSPqL0jZUiGhZoewATJ48mR/96EesWbNGCtuB6ncPJ+rFfM6cOfz1X/81b7/9Ntu2bZM14AX5+fksW7YMvV7PhQsXGDVqFI899hiTJk0iLCxswFywIwVRrEDcr9LSUg4ePEhycjKrV68mJSVFXusvyoNOp/M4Rp0yZQp/+7d/S0dHBwkJCWRnZwN3lusMJNSb4a9DBAUFOt7FRcrLyz2U1+joaA+Z6w/uLOr7PmrUKNavX8/s2bNpbW2VpXzj4+OJjY2VmxBvxPh590cd4KWhoTHyGDTlFW77KKlrbd8Np9MprQUiX99IRS1AQ0NDCQsL8xC2hYWFPPbYYzK4QFhKfC14hWUjMjKSRYsWYTQaiY6OpqSkhI6ODnQ6HWlpacyYMYPp06fjdDrJyckhIyODefPmAe7Fpbe3F71eP2I3JmLel5eX87vf/Y6dO3eyYsUK1qxZI8cU/MvvTp3YPSoqyiMfM7gVoJCQEJlEPtBQt1lUS1NnfhBFKPy9AMF3QShzorqW0Whk+vTp0t8VfBOo5Y06LV9ISAjJyckkJyff9XoxjoCsuDWS1w0NDY27M6imoG+zOIvAlkBcGL8t6j5GRkaSlpZGYmIiRqOR9PR0pk6dKnNL+pO1IDg42MP6O23aNHJzc2U5SnCPuVAC+vv7mTp16h3RzP7uK/ldEdkS+vv7OX/+PB988AGfffYZLpdL+nMbDAYZCOQPCoMa0faBEJunkTBuwjffu8LSSOibwDvQMjc3l1GjRnHlyhVmzJjBgw8+6LcbqXsdB3WMxUgaOw0NjW/PoCqv6lrbdrv9jrx8IgLUYDDcN4oreApak8lEfn4+zz77LHPnziUxMZFp06bJxcc74MDXiPK1LpcLg8Egq0XdDXF8LsZf5NQcyRgMBiIiIhg/fjw/+tGPCAsLY9myZfKY1p/nubDSiRKrISEhI27MRpqiOhDq8QoNDWXKlCm8+OKLzJ8/n4kTJzJ79mxMJpP0M/XH8RWBWqJEtk6nk6dyos0jfRw1NDTujSHRkvR6vV/t7P0JcdT+dW4V/rawqJXpgVJ4DaQcBHoAzL0g+hwaGkpubi65ubk8++yzd1zn70ebopKaRuDi7Vc+atQoNm7ceMd1/iZb1Ag3FQ0NDY1vQpMUGveM8DkTvpJwO6JXKGj+bNnR0NDQ0NDQCHy+tfKqKMpQtMNvGOn9g5Hfx5HeP9D6OBIY6f2D+6OPGhoaw49mHtPQ0NDQ0NDQ0AgYgvyxApCGhoaGhoaGhobGQGiWVw0NDQ0NDQ0NjYBBU141NDQ0NDQ0NDQCBk151dDQ0NDQ0NDQCBh8mipLUZTRwP8DPAjEAXXANuDXFoul1YdNGxQURQkCfgD8GJgIBANXgNeAf7VYLH0+bN6gcB+M4T8A04FxQDxgBa7h7uPvLRbLTd+17vujKMqjwEJgCjAZiATetFgsz/iyXUOBoijzgZ8Dc4BYoAW4APyLxWL5zIdNG3QURXkW+NOtH1+0WCwv+7I93xdFUeKAh4HVQAGQCthxj99rwGsWi8V192/Q0NAYSfjM8qooyljgK9zK3Qngn4EK4C+Ao7eEVaDzR+AVIBN4F3gJMAC/Ad69pdwGLPfJGP4XIBzYjXvc3gScwN8B5xVFuXu1icDgb4Cf4lZeb/i2KUOHoih/AxwEFgA7gH8EtgMxwCLftWzwuTUnfwd0+botg8hjuOXnLOA48C/AB0A+8DKwJdDlqYaGxr3jS8urBUgEfmaxWH4n3lQU5Z9wKwz/A/iJj9r2vVEU5SHgWaASmGmxWJpvva8HtgCPAJuA133UxMFgRI/hLaIsFovN+01FUf4H8Cvgl0AgJ7P8L0ANcBW3BXafb5sz+CiK8hjw34E9wAaLxdLp9fmIKQd4S4F7DbgJfAj8lW9bNGiUAuuAT9UWVkVRfoV74/wIsAG3QquhoTHC8YnlVVGULGA5UAX8q9fH/w3oBp5VFCV8mJs2mGy49fqPQnEFsFgsDuBvb/3458PeqkHiPhlDBlJcb7Hl1mvOcLVlKLBYLPssFkuZxWIZkTnzFEXRAf8A9ABPeSuuIJ/JkcLPgAdwn4Z0+7gtg4bFYvnCYrFs93YNsFgs9cC/3/px0bA3TENDwyf4ym3ggVuvuwYQRp3AESAMmD3cDRtEkm+9VgzwmXhvqqIo5uFpzqBzP4zh17H21ut5n7ZC45uYg9tt5zOgVVGU1Yqi/FdFUf5CUZQiH7dtUFEUZTzw98BvLBbLQV+3ZxgRmw+nT1uhoaExbPjKbSD31mvpXT4vw23VGwfsHZYWDT7C2po5wGdZqv/nAceGvjmDzv0whhJFUf4KiACicQdwzcOtuP69L9ul8Y3MuPXaAJzGHewjURTlIPCoxWJpGu6GDSaKooQAm4HruN1Z7gtu9fu5Wz/u8GVbNDQ0hg9fWV6jb7223+Vz8b556JsyZHxy6/UvFUWJFW/eEra/Vl0XM6ytGjzuhzFU81e43SF+jltx3QEsD3Sl5z4g8dbrTwATsBR3RoV8YCfuAK73fNO0QeX/DxQCz1ssFquvGzOM/D3usfzMYrHs9HVjNDQ0hgd/zfMqokYD2Q/vHeBzYCxwSVGU/1AU5V+As8Aq3JZJgIBPl3UXRsIYSiwWS7LFYgnC7Q6yAbf1/IyiKFN92zKNbyD41msQbgvrXovF0mWxWC7iTr1UAywMZBcCRVFm4ra2/qPFYjnq6/YMF4qi/Az4BVCCOzhWQ0PjPsFXyquwykXf5fMor+sCjlt+oOtwW+zqcQvXH+JeLOfhjgYGaPRJA78/I34MB8JisTRYLJatuF0i4ridS1PDPxG5hissFss59Qe3LJTCWjdzWFs1SKjcBUq5HQg64lEU5T/jTl13CVhssVhafNwkDQ2NYcRXPq9Xbr2Ou8vnIoL7bv6UAYHFYnHizif5j+r3FUUx4c6raQUuDn/LBoX7YgzvhsViuaYoyiVgiqIo8eqMEhp+hZinbXf5XCi3pqFvypAQwe1n0KYoA2Zte0lRlJdwB3L9fLgaNlQoivJz3Dmli4ElFoslUA0AGhoa3xFfWV5FLsnlt1LZSBRFiQTm4lbsAjGQ6V54FjACWwI4Tc/9PoYAo269jlTXj5HAQdxR6DmKohgG+Dz/1mvVsLVocOnFXQhloH9nbl1z+NbPAe9SoCjKf8WtuJ7FbXHVFFcNjfsQn1heLRZLuaIou3Afvf5n3NVgBL/GXdHoDxaLJaDzFCqKEmWxWDq83puBO8igC3dZ1YDkfhhDRVHygLZbuSTV7+twJ71PBL4cCWVwRyoWi6VZUZR3gadxBzX9jfhMUZRlwArcri0BGal+y/XhhYE+UxTl73AHcf0x0MvDAiiK8re4ZeZXuIMlNVcBDY37FF9W2FKAL4HfKoqyBLiMu/TfYtxHzX/tw7YNFrsVRbHiPt7qBCbiDtbqxV3pZ6AcsIHESB/DB4H/fSudUjluP+Uk3JWosnD7Mr/ou+Z9f25Vgnvo1o8iN3GRoiiv3/p/s8ViCfQqTX+Je17+taIoC3BXZBqDO2CrD3jRYrG0+a55Gt+EoiibcCuufcAh4GcDuEhUWSyW14e5aRoaGj7AZ9kGLBZLOe58ma/jXlh+gTsy/7dAkcViuXn33w4Y3sedlucZ3AtoAe463BNHQlqX+2AM9wD/gTswawPwf+EuQ9mC27o80WKxXPJd8waFKbjLFG/CbYUEt2Iu3nvUN80aPG4dLc/Cfdycxu0qVJ8C8y0Wy0hIlTXSEfmyg3Gnq/tvA/x73hcN09DQGH6C+vtHRCYjDQ0NDQ0NDQ2N+wB/zfOqoaGhoaGhoaGhcQea8qqhoaGhoaGhoREwaMqrhoaGhoaGhoZGwKAprxoaGhoaGhoaGgGDprxqaGhoaGhoaGgEDJryqqGhoaGhoaGhETBoyquGhoaGhoaGhkbAoCmvGhoaGhoaGhoaAYOmvGpoaGhoaGhoaAQMmvKqoaGhoaGhoaERMPx/xWEfxrkO5OgAAAAASUVORK5CYII=\n",
- "text/plain": [
- "<Figure size 864x1652.4 with 200 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"y_pred = model.predict_classes(x_test)\n",
"ooo.plot_images(x_test, y_test, range(0,200), columns=12, x_size=1, y_size=1, y_pred=y_pred)"
@@ -430,20 +315,9 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 864x507.6 with 15 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"errors=[ i for i in range(len(x_test)) if y_pred[i]!=y_test[i] ]\n",
"errors=errors[:min(24,len(errors))]\n",
@@ -452,182 +326,9 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/markdown": [
- "#### Confusion matrix is :"
- ],
- "text/plain": [
- "<IPython.core.display.Markdown object>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "text/html": [
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- " color: #f1f1f1;\n",
- " font-size: 12pt;\n",
- " }#T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col1,#T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col2,#T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col3,#T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col4,#T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col5,#T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col6,#T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col7,#T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col8,#T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col9,#T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col0,#T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col2,#T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col3,#T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col4,#T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col5,#T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col6,#T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col7,#T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col8,#T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col9,#T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col0,#T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col1,#T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col3,#T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col4,#T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col5,#T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col6,#T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col7,#T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col8,#T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col9,#T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col0,#T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col1,#T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col2,#T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col4,#T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col5,#T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col6,#T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col7,#T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col8,#T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col9,#T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col0,#T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col1,#T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col2,#T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col3,#T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col5,#T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col6,#T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col7,#T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col8,#T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col9,#T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col0,#T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col1,#T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col2,#T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col4,#T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col6,#T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col7,#T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col8,#T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col9,#T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col0,#T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col1,#T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col2,#T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col3,#T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col5,#T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col7,#T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col8,#T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col9,#T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col0,#T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col1,#T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col3,#T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col4,#T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col5,#T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col6,#T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col8,#T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col9,#T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col0,#T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col1,#T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col2,#T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col3,#T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col4,#T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col5,#T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col6,#T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col7,#T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col9,#T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col0,#T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col1,#T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col2,#T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col3,#T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col5,#T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col6,#T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col8{\n",
- " background-color: #e5ffe5;\n",
- " color: #000000;\n",
- " font-size: 12pt;\n",
- " }#T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col3{\n",
- " background-color: #e2fde2;\n",
- " color: #000000;\n",
- " font-size: 12pt;\n",
- " }#T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col4,#T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col2,#T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col4,#T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col7{\n",
- " background-color: #e4fee4;\n",
- " color: #000000;\n",
- " font-size: 12pt;\n",
- " }</style><table id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3\" ><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >0</th> <th class=\"col_heading level0 col1\" >1</th> <th class=\"col_heading level0 col2\" >2</th> <th class=\"col_heading level0 col3\" >3</th> <th class=\"col_heading level0 col4\" >4</th> <th class=\"col_heading level0 col5\" >5</th> <th class=\"col_heading level0 col6\" >6</th> <th class=\"col_heading level0 col7\" >7</th> <th class=\"col_heading level0 col8\" >8</th> <th class=\"col_heading level0 col9\" >9</th> </tr></thead><tbody>\n",
- " <tr>\n",
- " <th id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col0\" class=\"data row0 col0\" >0.99</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col1\" class=\"data row0 col1\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col2\" class=\"data row0 col2\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col3\" class=\"data row0 col3\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col4\" class=\"data row0 col4\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col5\" class=\"data row0 col5\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col6\" class=\"data row0 col6\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col7\" class=\"data row0 col7\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col8\" class=\"data row0 col8\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row0_col9\" class=\"data row0 col9\" >0.00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col0\" class=\"data row1 col0\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col1\" class=\"data row1 col1\" >0.99</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col2\" class=\"data row1 col2\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col4\" class=\"data row1 col4\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col5\" class=\"data row1 col5\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col6\" class=\"data row1 col6\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col7\" class=\"data row1 col7\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col8\" class=\"data row1 col8\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row1_col9\" class=\"data row1 col9\" >0.00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col0\" class=\"data row2 col0\" >0.01</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col1\" class=\"data row2 col1\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col2\" class=\"data row2 col2\" >0.98</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col3\" class=\"data row2 col3\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col4\" class=\"data row2 col4\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col5\" class=\"data row2 col5\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col6\" class=\"data row2 col6\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col7\" class=\"data row2 col7\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col8\" class=\"data row2 col8\" >0.01</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row2_col9\" class=\"data row2 col9\" >0.00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col0\" class=\"data row3 col0\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col1\" class=\"data row3 col1\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col2\" class=\"data row3 col2\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col3\" class=\"data row3 col3\" >0.98</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col4\" class=\"data row3 col4\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col5\" class=\"data row3 col5\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col6\" class=\"data row3 col6\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col7\" class=\"data row3 col7\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col8\" class=\"data row3 col8\" >0.01</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row3_col9\" class=\"data row3 col9\" >0.00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col0\" class=\"data row4 col0\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col2\" class=\"data row4 col2\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col3\" class=\"data row4 col3\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col4\" class=\"data row4 col4\" >0.98</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col5\" class=\"data row4 col5\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col6\" class=\"data row4 col6\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col7\" class=\"data row4 col7\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col8\" class=\"data row4 col8\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row4_col9\" class=\"data row4 col9\" >0.01</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col0\" class=\"data row5 col0\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col1\" class=\"data row5 col1\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col2\" class=\"data row5 col2\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col3\" class=\"data row5 col3\" >0.02</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col4\" class=\"data row5 col4\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col5\" class=\"data row5 col5\" >0.96</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col6\" class=\"data row5 col6\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col7\" class=\"data row5 col7\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col8\" class=\"data row5 col8\" >0.01</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row5_col9\" class=\"data row5 col9\" >0.00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col0\" class=\"data row6 col0\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col1\" class=\"data row6 col1\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col2\" class=\"data row6 col2\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col3\" class=\"data row6 col3\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col4\" class=\"data row6 col4\" >0.01</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col5\" class=\"data row6 col5\" >0.01</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col6\" class=\"data row6 col6\" >0.97</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col7\" class=\"data row6 col7\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col8\" class=\"data row6 col8\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row6_col9\" class=\"data row6 col9\" >0.00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col0\" class=\"data row7 col0\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col1\" class=\"data row7 col1\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col2\" class=\"data row7 col2\" >0.01</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col3\" class=\"data row7 col3\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col4\" class=\"data row7 col4\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col5\" class=\"data row7 col5\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col6\" class=\"data row7 col6\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col7\" class=\"data row7 col7\" >0.97</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col8\" class=\"data row7 col8\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row7_col9\" class=\"data row7 col9\" >0.00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col0\" class=\"data row8 col0\" >0.01</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col1\" class=\"data row8 col1\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col2\" class=\"data row8 col2\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col3\" class=\"data row8 col3\" >0.01</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col4\" class=\"data row8 col4\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col5\" class=\"data row8 col5\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col6\" class=\"data row8 col6\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col7\" class=\"data row8 col7\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col8\" class=\"data row8 col8\" >0.97</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row8_col9\" class=\"data row8 col9\" >0.00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col0\" class=\"data row9 col0\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col1\" class=\"data row9 col1\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col2\" class=\"data row9 col2\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col3\" class=\"data row9 col3\" >0.01</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col4\" class=\"data row9 col4\" >0.01</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col5\" class=\"data row9 col5\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col6\" class=\"data row9 col6\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col7\" class=\"data row9 col7\" >0.01</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col8\" class=\"data row9 col8\" >0.00</td>\n",
- " <td id=\"T_d03797ea_eb93_11ea_8611_472be38bacc3row9_col9\" class=\"data row9 col9\" >0.96</td>\n",
- " </tr>\n",
- " </tbody></table>"
- ],
- "text/plain": [
- "<pandas.io.formats.style.Styler at 0x7fb381963510>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"ooo.display_confusion_matrix(y_test,y_pred, range(10))"
]
diff --git a/README.ipynb b/README.ipynb
index 0452a183dc0ffb741e61699901ced8f6c53bfa9c..0a325b00be7917596e44e464a312253d27399fd8 100644
--- a/README.ipynb
+++ b/README.ipynb
@@ -35,7 +35,7 @@
"\n",
"For more information, you can contact us at : \n",
"[<img width=\"200px\" style=\"vertical-align:middle\" src=\"fidle/img/00-Mail_contact.svg\"></img>](#top) \n",
- "Current Version : 0.5.4 DEV \n",
+ "Current Version : 0.5.5 DEV \n",
"\n",
"\n",
"## Course materials\n",
diff --git a/README.md b/README.md
index 7b393a07d06fc4a58ea54c0b7370664abd07434f..a7af8bcd9643b0010e0029c0711390212a587c02 100644
--- a/README.md
+++ b/README.md
@@ -21,7 +21,7 @@ The objectives of this training are :
For more information, you can contact us at :
[<img width="200px" style="vertical-align:middle" src="fidle/img/00-Mail_contact.svg"></img>](#top)
-Current Version : 0.5.4 DEV
+Current Version : 0.5.5 DEV
## Course materials
diff --git a/fidle/pwk.py b/fidle/pwk.py
index aefa87c5c42d1f92bc81197b1d8fd91ea4ab3dab..d2ac3108517f17619cea7da6c37dfb15f5cda224 100644
--- a/fidle/pwk.py
+++ b/fidle/pwk.py
@@ -12,6 +12,7 @@
import os
import glob
+import shutil
from datetime import datetime
import itertools
import datetime, time
@@ -30,7 +31,7 @@ import matplotlib.pyplot as plt
import seaborn as sn #IDRIS : module en cours d'installation
from IPython.display import display,Image,Markdown,HTML
-VERSION='0.5.0'
+VERSION='0.5.4'
_save_figs = False
_figs_dir = './figs'
@@ -41,19 +42,59 @@ _figs_id = 0
# init_all
# -------------------------------------------------------------
#
-def init(mplstyle='../fidle/mplstyles/custom.mplstyle', cssfile='../fidle/css/custom.css'):
+def init( mplstyle='../fidle/mplstyles/custom.mplstyle',
+ cssfile='../fidle/css/custom.css',
+ places={ 'SOMEWHERE' : '/path/to/datasets'}):
+
global VERSION
- # ---- matplotlib and css
+ update_keras_cache=False
+
+ # ---- Predifined places
+ #
+ predefined_places = { 'Fidle at GRICAD' : f"{os.getenv('SCRATCH_DIR','nowhere')}/PROJECTS/pr-fidle/datasets",
+ 'Fidle at IDRIS' : f"{os.getenv('WORK', 'nowhere')}/datasets",
+ 'Fidle at HOME' : f"{os.getenv('HOME', 'nowhere')}/datasets"}
+
+ # ---- Load matplotlib style and css
+ #
matplotlib.style.use(mplstyle)
load_cssfile(cssfile)
+
+ # ---- Create subdirs
+ #
+ mkdir('./run')
+
+ # ---- Try to find where we are
+ #
+ place_name, dataset_dir = where_we_are({**places, **predefined_places})
+
+
+ # ---- If we are at IDRIS, we need to copy datasets/keras_cache to keras cache...
+ #
+ if place_name=='Fidle at HOME':
+ from_dir = f'{dataset_dir}/keras_cache/*.*'
+ to_dir = os.path.expanduser('~/.keras/datasets')
+ mkdir(to_dir)
+ for pathname in glob.glob(from_dir):
+ filename=os.path.basename(pathname)
+ destname=f'{to_dir}/{filename}'
+ if not os.path.isfile(destname):
+ shutil.copy(pathname, destname)
+ update_keras_cache=True
+
# ---- Hello world
-# now = datetime.datetime.now()
print('\nFIDLE 2020 - Practical Work Module')
print('Version :', VERSION)
print('Run time : {}'.format(time.strftime("%A %-d %B %Y, %H:%M:%S")))
print('TensorFlow version :',tf.__version__)
print('Keras version :',tf.keras.__version__)
-
+ print('Current place :',place_name )
+ print('Dataset dir :',dataset_dir)
+ if update_keras_cache:
+ print('Update keras cache : Yes')
+
+ return place_name, dataset_dir
+
# -------------------------------------------------------------
# Folder cooking
# -------------------------------------------------------------
@@ -78,6 +119,26 @@ def get_directory_size(path):
size+=os.path.getsize(path+'/'+f)
return size/(1024*1024)
+# ------------------------------------------------------------------
+# Where we are ?
+# ------------------------------------------------------------------
+#
+def where_we_are(places):
+
+ for place_name, place_dir in places.items():
+ if os.path.isdir(place_dir):
+ return place_name,place_dir
+
+ print('** ERROR ** : Le dossier datasets est introuvable')
+ print(' Vous devez récupérer celui-ci et en préciser la localisation.')
+ print(' Une archive (datasets.tar) est disponible via le repo Fidle.\n')
+ print(' Une liste de localisations peut être donnée en paramètre de la fonction init()\n')
+ print(' Par exemple :')
+ print(" ooo.init( places={ 'Chez-moi':'/tmp/datasets', 'Sur-mon-cluster':'/tests/datasets'}')\n")
+ print(' Vous pouvez également recopier le dossier datasets directement dans votre home : ~/datasets\n\n')
+ assert False, 'datasets folder not found : Abort all...'
+
+
# -------------------------------------------------------------
# shuffle_dataset
# -------------------------------------------------------------
@@ -486,16 +547,6 @@ def load_cssfile(cssfile):
styles = open(cssfile, "r").read()
display(HTML(styles))
-
-def good_place( places={'SOMEWHERE':'/tmp'} ):
- for place_name, place_dir in places.items():
- if os.path.isdir(place_dir):
- print(f'Well, we should be at {place_name} !')
- print(f'We are going to use: {place_dir}')
- return place_name,place_dir
-
- print('** Attention : No expected folder exists in this environment..')
- assert False, 'No expected folder exists in this environment..'
def np_print(*args, format={'float': '{:6.3f}'.format}):