X-Git-Url: https://git.njae.me.uk/?p=covid19.git;a=blobdiff_plain;f=uk_deaths.ipynb;fp=uk_deaths.ipynb;h=2f6888c005cf753a4406abf04d29f53a3380717b;hp=9cf1f8631f978f6f349150b70a72cd7581fcfcc1;hb=5afedd66506be7575034ae6deebcfaa7c2ced978;hpb=4abff18d7988bdea04a267a08a0792ba570fe0bd
diff --git a/uk_deaths.ipynb b/uk_deaths.ipynb
index 9cf1f86..2f6888c 100644
--- a/uk_deaths.ipynb
+++ b/uk_deaths.ipynb
@@ -2,7 +2,9 @@
"cells": [
{
"cell_type": "markdown",
- "metadata": {},
+ "metadata": {
+ "Collapsed": "false"
+ },
"source": [
"Data from:\n",
"\n",
@@ -13,8 +15,10 @@
},
{
"cell_type": "code",
- "execution_count": 76,
- "metadata": {},
+ "execution_count": 1,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"import itertools\n",
@@ -31,94 +35,21 @@
},
{
"cell_type": "code",
- "execution_count": 77,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " covid-deaths-data-scotland-week-21.xlsx\n",
- " covid-deaths-data-scotland-week-31.xlsx\n",
- " covid-deaths-data-week-23.xlsx\n",
- " covid-deaths-data-week-24-scotland.xlsx\n",
- " covid-deaths-data-week-25-scotland.xlsx\n",
- " covid-deaths-data-week-27-scotland.xlsx\n",
- " covid-deaths-data-week-28-scotland.xlsx\n",
- " covid-deaths-data-week-32.xlsx\n",
- " publishedweek1620201.xlsx\n",
- " publishedweek172020.csv\n",
- " publishedweek172020.ods\n",
- " publishedweek172020.xlsx\n",
- " publishedweek182020.csv\n",
- " publishedweek182020.ods\n",
- " publishedweek182020.xlsx\n",
- " publishedweek192020.csv\n",
- " publishedweek192020.ods\n",
- " publishedweek192020.xlsx\n",
- " publishedweek2015.csv\n",
- " publishedweek2015.ods\n",
- " publishedweek2015.xls\n",
- " publishedweek202020.csv\n",
- " publishedweek202020.ods\n",
- " publishedweek202020.xlsx\n",
- " publishedweek212020.csv\n",
- " publishedweek212020.ods\n",
- " publishedweek212020.xlsx\n",
- " publishedweek222020.csv\n",
- " publishedweek222020.xlsx\n",
- " publishedweek232020.csv\n",
- " publishedweek232020.xlsx\n",
- " publishedweek242020.csv\n",
- " publishedweek242020.xlsx\n",
- " publishedweek252020.csv\n",
- " publishedweek252020.xlsx\n",
- " publishedweek262020.csv\n",
- " publishedweek262020.xlsx\n",
- " publishedweek272020.csv\n",
- " publishedweek272020.xlsx\n",
- " publishedweek282020.xlsx\n",
- " publishedweek292020.xlsx\n",
- " publishedweek302020.xlsx\n",
- " publishedweek312020.xlsx\n",
- " publishedweek522016.csv\n",
- " publishedweek522016.ods\n",
- " publishedweek522016.xls\n",
- " publishedweek522017.csv\n",
- " publishedweek522017.ods\n",
- " publishedweek522017.xls\n",
- " publishedweek522018.csv\n",
- " publishedweek522018.ods\n",
- " publishedweek522018withupdatedrespiratoryrow.xls\n",
- " publishedweek522019.csv\n",
- " publishedweek522019.ods\n",
- " publishedweek522019.xls\n",
- " scotland-deaths-2020.csv\n",
- " weekly-april-20-tab2_Sheet.csv\n",
- " weekly-april-20-tab2.xlsx\n",
- " weekly-deaths-april-20-scotland.csv\n",
- " weekly-deaths-april-20-scotland.xlsx\n",
- " weekly-deaths-april-20-scotland.zip\n",
- "'Weekly_Deaths - Historical_NI.xls'\n",
- " Weekly_Deaths_NI_2015.csv\n",
- " Weekly_Deaths_NI_2016.csv\n",
- " Weekly_Deaths_NI_2017.csv\n",
- " Weekly_Deaths_NI_2018.csv\n",
- " Weekly_Deaths_NI_2019.csv\n",
- " Weekly_Deaths_NI_2020.csv\n",
- " Weekly_Deaths_NI_2020.xls\n",
- " weekly-march-20-scotland.zip\n"
- ]
- }
- ],
+ "execution_count": 2,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
"source": [
- "!ls uk-deaths-data"
+ "england_wales_filename = 'uk-deaths-data/publishedweek532020.xlsx'"
]
},
{
"cell_type": "code",
- "execution_count": 78,
- "metadata": {},
+ "execution_count": 3,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"raw_data_2015 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2015.csv', \n",
@@ -133,8 +64,10 @@
},
{
"cell_type": "code",
- "execution_count": 79,
- "metadata": {},
+ "execution_count": 4,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"raw_data_2016 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2016.csv', \n",
@@ -149,8 +82,10 @@
},
{
"cell_type": "code",
- "execution_count": 80,
- "metadata": {},
+ "execution_count": 5,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"raw_data_2017 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2017.csv', \n",
@@ -165,8 +100,10 @@
},
{
"cell_type": "code",
- "execution_count": 81,
- "metadata": {},
+ "execution_count": 6,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"raw_data_2018 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2018.csv', \n",
@@ -181,8 +118,10 @@
},
{
"cell_type": "code",
- "execution_count": 82,
- "metadata": {},
+ "execution_count": 7,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"raw_data_2019 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2019.csv', \n",
@@ -197,8 +136,10 @@
},
{
"cell_type": "code",
- "execution_count": 83,
- "metadata": {},
+ "execution_count": 8,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [
{
"data": {
@@ -226,39 +167,39 @@
" \n",
"
\n",
" \n",
- " 1 | \n",
- " 353 | \n",
+ " 49 | \n",
+ " 387 | \n",
"
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" \n",
- " 2 | \n",
- " 395 | \n",
+ " 50 | \n",
+ " 366 | \n",
"
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" \n",
- " 3 | \n",
- " 411 | \n",
+ " 51 | \n",
+ " 350 | \n",
"
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" \n",
- " 4 | \n",
- " 347 | \n",
+ " 52 | \n",
+ " 310 | \n",
"
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" \n",
- " 5 | \n",
- " 323 | \n",
+ " 53 | \n",
+ " 333 | \n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " total_2020\n",
- "1 353\n",
- "2 395\n",
- "3 411\n",
- "4 347\n",
- "5 323"
+ " total_2020\n",
+ "49 387\n",
+ "50 366\n",
+ "51 350\n",
+ "52 310\n",
+ "53 333"
]
},
- "execution_count": 83,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -271,44 +212,14 @@
" )\n",
"deaths_headlines_i = raw_data_2020_i.iloc[:, [1]]\n",
"deaths_headlines_i.columns = ['total_2020']\n",
- "deaths_headlines_i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 84,
- "metadata": {
- "scrolled": true
- },
- "outputs": [],
- "source": [
- "raw_data_s = pd.read_csv('uk-deaths-data/weekly-deaths-april-20-scotland.csv', \n",
- " index_col=0,\n",
- " header=0,\n",
- " skiprows=2\n",
- " )\n",
- "# raw_data_s"
+ "deaths_headlines_i.tail()"
]
},
{
"cell_type": "code",
- "execution_count": 85,
+ "execution_count": 9,
"metadata": {
- "scrolled": true
+ "Collapsed": "false"
},
"outputs": [
{
@@ -324,585 +235,766 @@
" vertical-align: top;\n",
" }\n",
"\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
+ " .dataframe thead tr th {\n",
+ " text-align: left;\n",
" }\n",
"\n",
"\n",
" \n",
- " \n",
+ "
\n",
+ " Registration Week | \n",
+ " Week Starts (Saturday) | \n",
+ " Week Ends (Friday) | \n",
+ " Total Number of Deaths Registered in Week (2019P) | \n",
+ " Average number of deaths registered in corresponding week in previous 5 years (2014 to 2018P) | \n",
+ " Range | \n",
+ " Unnamed: 6_level_0 | \n",
+ "
\n",
+ " \n",
" | \n",
- " total_2020 | \n",
- " total_2019 | \n",
- " total_2018 | \n",
- " total_2017 | \n",
- " total_2016 | \n",
- " total_2015 | \n",
+ " Unnamed: 1_level_1 | \n",
+ " Unnamed: 2_level_1 | \n",
+ " Unnamed: 3_level_1 | \n",
+ " Unnamed: 4_level_1 | \n",
+ " Minimum in Previous 5 years | \n",
+ " Maximum in Previous 5 years | \n",
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+ " 292 | \n",
"
\n",
" \n",
- " 29 | \n",
- " 1033.0 | \n",
- " 964.0 | \n",
- " 928.0 | \n",
- " 1025.0 | \n",
- " 1041.0 | \n",
- " 1023 | \n",
+ " 27 | \n",
+ " 2019-06-29 | \n",
+ " 2019-07-05 | \n",
+ " 285 | \n",
+ " 278 | \n",
+ " 235 | \n",
+ " 303 | \n",
"
\n",
" \n",
- " 30 | \n",
- " 961.0 | \n",
- " 1041.0 | \n",
- " 933.0 | \n",
- " 978.0 | \n",
- " 979.0 | \n",
- " 956 | \n",
+ " 28 | \n",
+ " 2019-07-06 | \n",
+ " 2019-07-12 | \n",
+ " 256 | \n",
+ " 254 | \n",
+ " 172 | \n",
+ " 300 | \n",
"
\n",
" \n",
- " 31 | \n",
- " 1043.0 | \n",
- " 1020.0 | \n",
- " 969.0 | \n",
- " 1011.0 | \n",
- " 987.0 | \n",
- " 985 | \n",
+ " 29 | \n",
+ " 2019-07-13 | \n",
+ " 2019-07-19 | \n",
+ " 280 | \n",
+ " 256 | \n",
+ " 237 | \n",
+ " 298 | \n",
"
\n",
" \n",
- " 32 | \n",
- " 1002.0 | \n",
- " 1018.0 | \n",
- " 953.0 | \n",
- " 1002.0 | \n",
- " 997.0 | \n",
- " 1043 | \n",
+ " 30 | \n",
+ " 2019-07-20 | \n",
+ " 2019-07-26 | \n",
+ " 269 | \n",
+ " 255 | \n",
+ " 203 | \n",
+ " 288 | \n",
"
\n",
" \n",
- " 33 | \n",
- " NaN | \n",
- " 1028.0 | \n",
- " 978.0 | \n",
- " 1004.0 | \n",
- " 982.0 | \n",
- " 969 | \n",
+ " 31 | \n",
+ " 2019-07-27 | \n",
+ " 2019-08-02 | \n",
+ " 273 | \n",
+ " 280 | \n",
+ " 261 | \n",
+ " 298 | \n",
"
\n",
" \n",
- " 34 | \n",
- " NaN | \n",
- " 1011.0 | \n",
- " 941.0 | \n",
- " 1045.0 | \n",
- " 1017.0 | \n",
- " 982 | \n",
+ " 32 | \n",
+ " 2019-08-03 | \n",
+ " 2019-08-09 | \n",
+ " 266 | \n",
+ " 281 | \n",
+ " 264 | \n",
+ " 292 | \n",
"
\n",
" \n",
- " 35 | \n",
- " NaN | \n",
- " 1013.0 | \n",
- " 930.0 | \n",
- " 980.0 | \n",
- " 1039.0 | \n",
- " 954 | \n",
+ " 33 | \n",
+ " 2019-08-10 | \n",
+ " 2019-08-16 | \n",
+ " 284 | \n",
+ " 260 | \n",
+ " 238 | \n",
+ " 283 | \n",
"
\n",
" \n",
- " 36 | \n",
- " NaN | \n",
- " 980.0 | \n",
- " 970.0 | \n",
- " 1006.0 | \n",
- " 1007.0 | \n",
- " 977 | \n",
+ " 34 | \n",
+ " 2019-08-17 | \n",
+ " 2019-08-23 | \n",
+ " 274 | \n",
+ " 260 | \n",
+ " 235 | \n",
+ " 280 | \n",
"
\n",
" \n",
- " 37 | \n",
- " NaN | \n",
- " 1074.0 | \n",
- " 1020.0 | \n",
- " 972.0 | \n",
- " 983.0 | \n",
- " 991 | \n",
+ " 35 | \n",
+ " 2019-08-24 | \n",
+ " 2019-08-30 | \n",
+ " 223 | \n",
+ " 271 | \n",
+ " 251 | \n",
+ " 301 | \n",
"
\n",
" \n",
- " 38 | \n",
- " NaN | \n",
- " 1071.0 | \n",
- " 946.0 | \n",
- " 1049.0 | \n",
- " 966.0 | \n",
- " 1001 | \n",
+ " 36 | \n",
+ " 2019-08-31 | \n",
+ " 2019-09-06 | \n",
+ " 243 | \n",
+ " 258 | \n",
+ " 243 | \n",
+ " 265 | \n",
"
\n",
" \n",
- " 39 | \n",
- " NaN | \n",
- " 1142.0 | \n",
- " 1015.0 | \n",
- " 1056.0 | \n",
- " 1009.0 | \n",
- " 1010 | \n",
+ " 37 | \n",
+ " 2019-09-07 | \n",
+ " 2019-09-13 | \n",
+ " 305 | \n",
+ " 275 | \n",
+ " 237 | \n",
+ " 301 | \n",
"
\n",
" \n",
- " 40 | \n",
- " NaN | \n",
- " 1051.0 | \n",
- " 1042.0 | \n",
- " 1016.0 | \n",
- " 1072.0 | \n",
- " 1008 | \n",
+ " 38 | \n",
+ " 2019-09-14 | \n",
+ " 2019-09-20 | \n",
+ " 281 | \n",
+ " 285 | \n",
+ " 247 | \n",
+ " 324 | \n",
"
\n",
" \n",
- " 41 | \n",
- " NaN | \n",
- " 1143.0 | \n",
- " 1081.0 | \n",
- " 1133.0 | \n",
- " 1009.0 | \n",
- " 1028 | \n",
+ " 39 | \n",
+ " 2019-09-21 | \n",
+ " 2019-09-27 | \n",
+ " 295 | \n",
+ " 281 | \n",
+ " 259 | \n",
+ " 298 | \n",
"
\n",
" \n",
- " 42 | \n",
- " NaN | \n",
- " 1153.0 | \n",
- " 1031.0 | \n",
- " 1067.0 | \n",
- " 1070.0 | \n",
- " 989 | \n",
+ " 40 | \n",
+ " 2019-09-28 | \n",
+ " 2019-10-04 | \n",
+ " 263 | \n",
+ " 292 | \n",
+ " 275 | \n",
+ " 324 | \n",
"
\n",
" \n",
- " 43 | \n",
- " NaN | \n",
- " 1115.0 | \n",
- " 1019.0 | \n",
- " 1095.0 | \n",
- " 1052.0 | \n",
- " 981 | \n",
+ " 41 | \n",
+ " 2019-10-05 | \n",
+ " 2019-10-11 | \n",
+ " 287 | \n",
+ " 298 | \n",
+ " 277 | \n",
+ " 318 | \n",
"
\n",
" \n",
- " 44 | \n",
- " NaN | \n",
- " 1101.0 | \n",
- " 1085.0 | \n",
- " 1062.0 | \n",
- " 1032.0 | \n",
- " 1116 | \n",
+ " 42 | \n",
+ " 2019-10-12 | \n",
+ " 2019-10-18 | \n",
+ " 316 | \n",
+ " 295 | \n",
+ " 282 | \n",
+ " 317 | \n",
"
\n",
" \n",
- " 45 | \n",
- " NaN | \n",
- " 1184.0 | \n",
- " 1144.0 | \n",
- " 1126.0 | \n",
- " 1043.0 | \n",
- " 1028 | \n",
+ " 43 | \n",
+ " 2019-10-19 | \n",
+ " 2019-10-25 | \n",
+ " 279 | \n",
+ " 287 | \n",
+ " 263 | \n",
+ " 299 | \n",
"
\n",
" \n",
- " 46 | \n",
- " NaN | \n",
- " 1160.0 | \n",
- " 1084.0 | \n",
- " 1175.0 | \n",
- " 1174.0 | \n",
- " 1103 | \n",
+ " 44 | \n",
+ " 2019-10-26 | \n",
+ " 2019-11-01 | \n",
+ " 302 | \n",
+ " 283 | \n",
+ " 252 | \n",
+ " 318 | \n",
"
\n",
" \n",
- " 47 | \n",
- " NaN | \n",
- " 1229.0 | \n",
- " 1058.0 | \n",
- " 1178.0 | \n",
- " 1132.0 | \n",
- " 1054 | \n",
+ " 45 | \n",
+ " 2019-11-02 | \n",
+ " 2019-11-08 | \n",
+ " 296 | \n",
+ " 290 | \n",
+ " 267 | \n",
+ " 320 | \n",
"
\n",
" \n",
- " 48 | \n",
- " NaN | \n",
- " 1163.0 | \n",
- " 1062.0 | \n",
- " 1153.0 | \n",
- " 1159.0 | \n",
- " 1115 | \n",
+ " 46 | \n",
+ " 2019-11-09 | \n",
+ " 2019-11-15 | \n",
+ " 336 | \n",
+ " 286 | \n",
+ " 275 | \n",
+ " 295 | \n",
"
\n",
" \n",
- " 49 | \n",
- " NaN | \n",
- " 1108.0 | \n",
- " 1076.0 | \n",
- " 1237.0 | \n",
- " 1188.0 | \n",
- " 1089 | \n",
+ " 47 | \n",
+ " 2019-11-16 | \n",
+ " 2019-11-22 | \n",
+ " 361 | \n",
+ " 305 | \n",
+ " 274 | \n",
+ " 341 | \n",
"
\n",
" \n",
- " 50 | \n",
- " NaN | \n",
- " 1312.0 | \n",
- " 1212.0 | \n",
- " 1335.0 | \n",
- " 1219.0 | \n",
- " 1101 | \n",
+ " 48 | \n",
+ " 2019-11-23 | \n",
+ " 2019-11-29 | \n",
+ " 334 | \n",
+ " 304 | \n",
+ " 294 | \n",
+ " 329 | \n",
"
\n",
" \n",
- " 51 | \n",
- " NaN | \n",
- " 1277.0 | \n",
- " 1216.0 | \n",
- " 1437.0 | \n",
- " 1284.0 | \n",
- " 1146 | \n",
+ " 49 | \n",
+ " 2019-11-30 | \n",
+ " 2019-12-06 | \n",
+ " 351 | \n",
+ " 310 | \n",
+ " 279 | \n",
+ " 355 | \n",
"
\n",
" \n",
- " 52 | \n",
- " NaN | \n",
- " 1000.0 | \n",
- " 1058.0 | \n",
- " 1168.0 | \n",
- " 1133.0 | \n",
- " 944 | \n",
+ " 50 | \n",
+ " 2019-12-07 | \n",
+ " 2019-12-13 | \n",
+ " 353 | \n",
+ " 306 | \n",
+ " 275 | \n",
+ " 324 | \n",
"
\n",
" \n",
- " 53 | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " NaN | \n",
- " 1018 | \n",
+ " 51 | \n",
+ " 2019-12-14 | \n",
+ " 2019-12-20 | \n",
+ " 363 | \n",
+ " 331 | \n",
+ " 298 | \n",
+ " 372 | \n",
+ "
\n",
+ " \n",
+ " 52 | \n",
+ " 2019-12-21 | \n",
+ " 2019-12-27 | \n",
+ " 194 | \n",
+ " 298 | \n",
+ " 195 | \n",
+ " 360 | \n",
"
\n",
" \n",
"
\n",
""
],
"text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 1161.0 1104.0 1531.0 1205.0 1394.0 1146\n",
- "2 1567.0 1507.0 1899.0 1379.0 1305.0 1708\n",
- "3 1322.0 1353.0 1629.0 1224.0 1215.0 1489\n",
- "4 1226.0 1208.0 1610.0 1197.0 1187.0 1381\n",
- "5 1188.0 1206.0 1369.0 1332.0 1205.0 1286\n",
- "6 1216.0 1243.0 1265.0 1200.0 1217.0 1344\n",
- "7 1162.0 1181.0 1315.0 1231.0 1209.0 1360\n",
- "8 1162.0 1245.0 1245.0 1185.0 1239.0 1320\n",
- "9 1171.0 1125.0 1022.0 1219.0 1150.0 1308\n",
- "10 1208.0 1156.0 1475.0 1146.0 1174.0 1192\n",
- "11 1156.0 1108.0 1220.0 1141.0 1175.0 1201\n",
- "12 1196.0 1101.0 1158.0 1152.0 1042.0 1149\n",
- "13 1079.0 1086.0 1050.0 1112.0 1172.0 1171\n",
- "14 1744.0 1032.0 1192.0 1060.0 1166.0 1042\n",
- "15 1978.0 1069.0 1192.0 998.0 1048.0 1192\n",
- "16 1916.0 902.0 1136.0 1111.0 1092.0 1095\n",
- "17 1836.0 1121.0 1008.0 1121.0 1076.0 1108\n",
- "18 1679.0 1131.0 1093.0 1050.0 1006.0 1117\n",
- "19 1435.0 1018.0 967.0 1119.0 1047.0 1020\n",
- "20 1421.0 1115.0 977.0 1115.0 1010.0 1103\n",
- "21 1226.0 1061.0 1070.0 1063.0 994.0 1039\n",
- "22 1125.0 1029.0 998.0 1015.0 999.0 1043\n",
- "23 1093.0 1042.0 1033.0 1076.0 1023.0 1106\n",
- "24 1034.0 1028.0 915.0 1031.0 988.0 1038\n",
- "25 1065.0 1053.0 993.0 1032.0 994.0 1025\n",
- "26 1008.0 1051.0 1046.0 994.0 1007.0 1032\n",
- "27 983.0 981.0 1041.0 1040.0 988.0 1040\n",
- "28 976.0 1077.0 1002.0 1014.0 1022.0 1011\n",
- "29 1033.0 964.0 928.0 1025.0 1041.0 1023\n",
- "30 961.0 1041.0 933.0 978.0 979.0 956\n",
- "31 1043.0 1020.0 969.0 1011.0 987.0 985\n",
- "32 1002.0 1018.0 953.0 1002.0 997.0 1043\n",
- "33 NaN 1028.0 978.0 1004.0 982.0 969\n",
- "34 NaN 1011.0 941.0 1045.0 1017.0 982\n",
- "35 NaN 1013.0 930.0 980.0 1039.0 954\n",
- "36 NaN 980.0 970.0 1006.0 1007.0 977\n",
- "37 NaN 1074.0 1020.0 972.0 983.0 991\n",
- "38 NaN 1071.0 946.0 1049.0 966.0 1001\n",
- "39 NaN 1142.0 1015.0 1056.0 1009.0 1010\n",
- "40 NaN 1051.0 1042.0 1016.0 1072.0 1008\n",
- "41 NaN 1143.0 1081.0 1133.0 1009.0 1028\n",
- "42 NaN 1153.0 1031.0 1067.0 1070.0 989\n",
- "43 NaN 1115.0 1019.0 1095.0 1052.0 981\n",
- "44 NaN 1101.0 1085.0 1062.0 1032.0 1116\n",
- "45 NaN 1184.0 1144.0 1126.0 1043.0 1028\n",
- "46 NaN 1160.0 1084.0 1175.0 1174.0 1103\n",
- "47 NaN 1229.0 1058.0 1178.0 1132.0 1054\n",
- "48 NaN 1163.0 1062.0 1153.0 1159.0 1115\n",
- "49 NaN 1108.0 1076.0 1237.0 1188.0 1089\n",
- "50 NaN 1312.0 1212.0 1335.0 1219.0 1101\n",
- "51 NaN 1277.0 1216.0 1437.0 1284.0 1146\n",
- "52 NaN 1000.0 1058.0 1168.0 1133.0 944\n",
- "53 NaN NaN NaN NaN NaN 1018"
+ "Registration Week Week Starts (Saturday) Week Ends (Friday) \\\n",
+ " Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
+ "1 2018-12-29 2019-01-04 \n",
+ "2 2019-01-05 2019-01-11 \n",
+ "3 2019-01-12 2019-01-18 \n",
+ "4 2019-01-19 2019-01-25 \n",
+ "5 2019-01-26 2019-02-01 \n",
+ "6 2019-02-02 2019-02-08 \n",
+ "7 2019-02-09 2019-02-15 \n",
+ "8 2019-02-16 2019-02-22 \n",
+ "9 2019-02-23 2019-03-01 \n",
+ "10 2019-03-02 2019-03-08 \n",
+ "11 2019-03-09 2019-03-15 \n",
+ "12 2019-03-16 2019-03-22 \n",
+ "13 2019-03-23 2019-03-29 \n",
+ "14 2019-03-30 2019-04-05 \n",
+ "15 2019-04-06 2019-04-12 \n",
+ "16 2019-04-13 2019-04-19 \n",
+ "17 2019-04-20 2019-04-26 \n",
+ "18 2019-04-27 2019-05-03 \n",
+ "19 2019-05-04 2019-05-10 \n",
+ "20 2019-05-11 2019-05-17 \n",
+ "21 2019-05-18 2019-05-24 \n",
+ "22 2019-05-25 2019-05-31 \n",
+ "23 2019-06-01 2019-06-07 \n",
+ "24 2019-06-08 2019-06-14 \n",
+ "25 2019-06-15 2019-06-21 \n",
+ "26 2019-06-22 2019-06-28 \n",
+ "27 2019-06-29 2019-07-05 \n",
+ "28 2019-07-06 2019-07-12 \n",
+ "29 2019-07-13 2019-07-19 \n",
+ "30 2019-07-20 2019-07-26 \n",
+ "31 2019-07-27 2019-08-02 \n",
+ "32 2019-08-03 2019-08-09 \n",
+ "33 2019-08-10 2019-08-16 \n",
+ "34 2019-08-17 2019-08-23 \n",
+ "35 2019-08-24 2019-08-30 \n",
+ "36 2019-08-31 2019-09-06 \n",
+ "37 2019-09-07 2019-09-13 \n",
+ "38 2019-09-14 2019-09-20 \n",
+ "39 2019-09-21 2019-09-27 \n",
+ "40 2019-09-28 2019-10-04 \n",
+ "41 2019-10-05 2019-10-11 \n",
+ "42 2019-10-12 2019-10-18 \n",
+ "43 2019-10-19 2019-10-25 \n",
+ "44 2019-10-26 2019-11-01 \n",
+ "45 2019-11-02 2019-11-08 \n",
+ "46 2019-11-09 2019-11-15 \n",
+ "47 2019-11-16 2019-11-22 \n",
+ "48 2019-11-23 2019-11-29 \n",
+ "49 2019-11-30 2019-12-06 \n",
+ "50 2019-12-07 2019-12-13 \n",
+ "51 2019-12-14 2019-12-20 \n",
+ "52 2019-12-21 2019-12-27 \n",
+ "\n",
+ "Registration Week Total Number of Deaths Registered in Week (2019P) \\\n",
+ " Unnamed: 3_level_1 \n",
+ "1 365 \n",
+ "2 371 \n",
+ "3 332 \n",
+ "4 335 \n",
+ "5 296 \n",
+ "6 319 \n",
+ "7 342 \n",
+ "8 337 \n",
+ "9 310 \n",
+ "10 342 \n",
+ "11 343 \n",
+ "12 294 \n",
+ "13 307 \n",
+ "14 287 \n",
+ "15 301 \n",
+ "16 316 \n",
+ "17 272 \n",
+ "18 357 \n",
+ "19 288 \n",
+ "20 330 \n",
+ "21 308 \n",
+ "22 245 \n",
+ "23 279 \n",
+ "24 281 \n",
+ "25 296 \n",
+ "26 262 \n",
+ "27 285 \n",
+ "28 256 \n",
+ "29 280 \n",
+ "30 269 \n",
+ "31 273 \n",
+ "32 266 \n",
+ "33 284 \n",
+ "34 274 \n",
+ "35 223 \n",
+ "36 243 \n",
+ "37 305 \n",
+ "38 281 \n",
+ "39 295 \n",
+ "40 263 \n",
+ "41 287 \n",
+ "42 316 \n",
+ "43 279 \n",
+ "44 302 \n",
+ "45 296 \n",
+ "46 336 \n",
+ "47 361 \n",
+ "48 334 \n",
+ "49 351 \n",
+ "50 353 \n",
+ "51 363 \n",
+ "52 194 \n",
+ "\n",
+ "Registration Week Average number of deaths registered in corresponding week in previous 5 years (2014 to 2018P) \\\n",
+ " Unnamed: 4_level_1 \n",
+ "1 212 \n",
+ "2 387 \n",
+ "3 401 \n",
+ "4 382 \n",
+ "5 385 \n",
+ "6 349 \n",
+ "7 327 \n",
+ "8 309 \n",
+ "9 347 \n",
+ "10 345 \n",
+ "11 338 \n",
+ "12 304 \n",
+ "13 310 \n",
+ "14 301 \n",
+ "15 292 \n",
+ "16 290 \n",
+ "17 279 \n",
+ "18 298 \n",
+ "19 279 \n",
+ "20 279 \n",
+ "21 278 \n",
+ "22 278 \n",
+ "23 263 \n",
+ "24 286 \n",
+ "25 284 \n",
+ "26 259 \n",
+ "27 278 \n",
+ "28 254 \n",
+ "29 256 \n",
+ "30 255 \n",
+ "31 280 \n",
+ "32 281 \n",
+ "33 260 \n",
+ "34 260 \n",
+ "35 271 \n",
+ "36 258 \n",
+ "37 275 \n",
+ "38 285 \n",
+ "39 281 \n",
+ "40 292 \n",
+ "41 298 \n",
+ "42 295 \n",
+ "43 287 \n",
+ "44 283 \n",
+ "45 290 \n",
+ "46 286 \n",
+ "47 305 \n",
+ "48 304 \n",
+ "49 310 \n",
+ "50 306 \n",
+ "51 331 \n",
+ "52 298 \n",
+ "\n",
+ "Registration Week Range Unnamed: 6_level_0 \n",
+ " Minimum in Previous 5 years Maximum in Previous 5 years \n",
+ "1 178 249 \n",
+ "2 294 481 \n",
+ "3 348 470 \n",
+ "4 331 426 \n",
+ "5 353 433 \n",
+ "6 314 374 \n",
+ "7 280 364 \n",
+ "8 217 366 \n",
+ "9 314 423 \n",
+ "10 285 401 \n",
+ "11 309 359 \n",
+ "12 251 327 \n",
+ "13 261 356 \n",
+ "14 280 323 \n",
+ "15 221 350 \n",
+ "16 270 316 \n",
+ "17 245 327 \n",
+ "18 251 327 \n",
+ "19 230 335 \n",
+ "20 249 318 \n",
+ "21 250 315 \n",
+ "22 241 328 \n",
+ "23 241 284 \n",
+ "24 246 340 \n",
+ "25 265 300 \n",
+ "26 211 292 \n",
+ "27 235 303 \n",
+ "28 172 300 \n",
+ "29 237 298 \n",
+ "30 203 288 \n",
+ "31 261 298 \n",
+ "32 264 292 \n",
+ "33 238 283 \n",
+ "34 235 280 \n",
+ "35 251 301 \n",
+ "36 243 265 \n",
+ "37 237 301 \n",
+ "38 247 324 \n",
+ "39 259 298 \n",
+ "40 275 324 \n",
+ "41 277 318 \n",
+ "42 282 317 \n",
+ "43 263 299 \n",
+ "44 252 318 \n",
+ "45 267 320 \n",
+ "46 275 295 \n",
+ "47 274 341 \n",
+ "48 294 329 \n",
+ "49 279 355 \n",
+ "50 275 324 \n",
+ "51 298 372 \n",
+ "52 195 360 "
]
},
- "execution_count": 85,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]\n",
- "deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]\n",
- "deaths_headlines_s.reset_index(drop=True, inplace=True)\n",
- "deaths_headlines_s.index = deaths_headlines_s.index + 1\n",
- "deaths_headlines_s"
+ "raw_data_2019"
]
},
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": []
},
{
"cell_type": "code",
- "execution_count": 86,
+ "execution_count": 10,
+ "metadata": {
+ "Collapsed": "false",
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "raw_data_s = pd.read_csv('uk-deaths-data/weekly-deaths-scotland.csv', \n",
+ " index_col=0,\n",
+ " header=0,\n",
+ " skiprows=2\n",
+ " )\n",
+ "# raw_data_s"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
"metadata": {
+ "Collapsed": "false",
"scrolled": true
},
"outputs": [
@@ -927,1325 +1019,1923 @@
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+ " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
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+ ]
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]\n",
+ "deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]\n",
+ "deaths_headlines_s.reset_index(drop=True, inplace=True)\n",
+ "deaths_headlines_s.index = deaths_headlines_s.index + 1\n",
+ "deaths_headlines_s"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
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+ "scrolled": true
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- " 2020-02-28 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 10816 | \n",
+ " 27 | \n",
+ " 2020-07-03 00:00:00 | \n",
" NaN | \n",
- " 11183 | \n",
" NaN | \n",
- " 10448 | \n",
+ " 9140 | \n",
" NaN | \n",
- " 698 | \n",
+ " 9183 | \n",
+ " NaN | \n",
+ " 8606 | \n",
+ " NaN | \n",
+ " 555 | \n",
" ... | \n",
- " 572 | \n",
- " 1476 | \n",
- " 1078 | \n",
- " 919 | \n",
- " 1174 | \n",
- " 1115 | \n",
- " 1085 | \n",
- " 1587 | \n",
- " 1133 | \n",
- " 651 | \n",
+ " 515 | \n",
+ " 1225 | \n",
+ " 875 | \n",
+ " 827 | \n",
+ " 949 | \n",
+ " 922 | \n",
+ " 837 | \n",
+ " 1454 | \n",
+ " 938 | \n",
+ " 584 | \n",
"
\n",
" \n",
- " 10 | \n",
- " 2020-03-06 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 10895 | \n",
+ " 28 | \n",
+ " 2020-07-10 00:00:00 | \n",
" NaN | \n",
- " 11498 | \n",
" NaN | \n",
- " 10745 | \n",
+ " 8690 | \n",
" NaN | \n",
- " 720 | \n",
+ " 9250 | \n",
+ " NaN | \n",
+ " 8648 | \n",
+ " NaN | \n",
+ " 578 | \n",
" ... | \n",
- " 568 | \n",
- " 1490 | \n",
- " 1112 | \n",
+ " 468 | \n",
+ " 1154 | \n",
+ " 848 | \n",
+ " 771 | \n",
+ " 902 | \n",
+ " 999 | \n",
+ " 803 | \n",
+ " 1228 | \n",
" 930 | \n",
- " 1098 | \n",
- " 1149 | \n",
- " 982 | \n",
- " 1726 | \n",
- " 1170 | \n",
- " 652 | \n",
+ " 572 | \n",
"
\n",
" \n",
- " 11 | \n",
- " 2020-03-13 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 11019 | \n",
+ " 29 | \n",
+ " 2020-07-17 00:00:00 | \n",
" NaN | \n",
- " 11205 | \n",
" NaN | \n",
- " 10447 | \n",
+ " 8823 | \n",
" NaN | \n",
- " 727 | \n",
+ " 9093 | \n",
+ " NaN | \n",
+ " 8502 | \n",
+ " NaN | \n",
+ " 557 | \n",
" ... | \n",
- " 590 | \n",
- " 1472 | \n",
- " 1053 | \n",
- " 915 | \n",
- " 1187 | \n",
- " 1211 | \n",
+ " 445 | \n",
+ " 1159 | \n",
+ " 843 | \n",
+ " 816 | \n",
+ " 956 | \n",
+ " 945 | \n",
+ " 806 | \n",
+ " 1339 | \n",
+ " 953 | \n",
+ " 550 | \n",
+ "
\n",
+ " \n",
+ " 30 | \n",
+ " 2020-07-24 00:00:00 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " 8891 | \n",
+ " NaN | \n",
+ " 9052 | \n",
+ " NaN | \n",
+ " 8452 | \n",
+ " NaN | \n",
+ " 566 | \n",
+ " ... | \n",
+ " 493 | \n",
+ " 1197 | \n",
+ " 817 | \n",
+ " 798 | \n",
" 964 | \n",
- " 1751 | \n",
- " 1174 | \n",
- " 675 | \n",
+ " 951 | \n",
+ " 816 | \n",
+ " 1340 | \n",
+ " 941 | \n",
+ " 565 | \n",
"
\n",
" \n",
- " 12 | \n",
- " 2020-03-20 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 10645 | \n",
+ " 31 | \n",
+ " 2020-07-31 00:00:00 | \n",
" NaN | \n",
- " 10573 | \n",
" NaN | \n",
- " 9841 | \n",
+ " 8946 | \n",
" NaN | \n",
- " 677 | \n",
+ " 9036 | \n",
+ " NaN | \n",
+ " 8436 | \n",
+ " NaN | \n",
+ " 572 | \n",
" ... | \n",
- " 522 | \n",
- " 1443 | \n",
- " 1012 | \n",
- " 947 | \n",
- " 1115 | \n",
- " 1043 | \n",
- " 1008 | \n",
- " 1657 | \n",
- " 1156 | \n",
- " 719 | \n",
+ " 507 | \n",
+ " 1272 | \n",
+ " 837 | \n",
+ " 729 | \n",
+ " 902 | \n",
+ " 949 | \n",
+ " 773 | \n",
+ " 1447 | \n",
+ " 988 | \n",
+ " 531 | \n",
"
\n",
" \n",
- " 13 | \n",
- " 2020-03-27 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 11141 | \n",
+ " 32 | \n",
+ " 2020-08-07 00:00:00 | \n",
" NaN | \n",
- " 10130 | \n",
" NaN | \n",
- " 9414 | \n",
+ " 8945 | \n",
" NaN | \n",
- " 665 | \n",
+ " 9102 | \n",
+ " NaN | \n",
+ " 8502 | \n",
+ " NaN | \n",
+ " 571 | \n",
" ... | \n",
- " 542 | \n",
- " 1538 | \n",
- " 982 | \n",
- " 922 | \n",
- " 1035 | \n",
- " 1182 | \n",
- " 1297 | \n",
- " 1822 | \n",
- " 1092 | \n",
- " 719 | \n",
+ " 486 | \n",
+ " 1211 | \n",
+ " 851 | \n",
+ " 798 | \n",
+ " 933 | \n",
+ " 955 | \n",
+ " 832 | \n",
+ " 1370 | \n",
+ " 929 | \n",
+ " 563 | \n",
"
\n",
" \n",
- " 14 | \n",
- " 2020-04-03 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 16387 | \n",
+ " 33 | \n",
+ " 2020-08-14 00:00:00 | \n",
+ " NaN | \n",
" NaN | \n",
- " 10305 | \n",
+ " 9392 | \n",
" NaN | \n",
- " 9601 | \n",
+ " 9085 | \n",
" NaN | \n",
- " 667 | \n",
+ " 8494 | \n",
+ " NaN | \n",
+ " 564 | \n",
" ... | \n",
- " 770 | \n",
- " 2137 | \n",
- " 1436 | \n",
- " 1246 | \n",
- " 1812 | \n",
- " 1717 | \n",
- " 2511 | \n",
- " 2294 | \n",
- " 1520 | \n",
- " 920 | \n",
+ " 520 | \n",
+ " 1304 | \n",
+ " 853 | \n",
+ " 829 | \n",
+ " 923 | \n",
+ " 1006 | \n",
+ " 928 | \n",
+ " 1395 | \n",
+ " 1009 | \n",
+ " 617 | \n",
"
\n",
" \n",
- " 15 | \n",
- " 2020-04-10 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 18516 | \n",
+ " 34 | \n",
+ " 2020-08-21 00:00:00 | \n",
" NaN | \n",
- " 10520 | \n",
" NaN | \n",
- " 9807 | \n",
+ " 9631 | \n",
" NaN | \n",
- " 671 | \n",
+ " 9157 | \n",
+ " NaN | \n",
+ " 8560 | \n",
+ " NaN | \n",
+ " 573 | \n",
" ... | \n",
- " 849 | \n",
- " 2597 | \n",
- " 1503 | \n",
- " 1452 | \n",
- " 2182 | \n",
- " 1984 | \n",
- " 2832 | \n",
- " 2604 | \n",
- " 1560 | \n",
- " 928 | \n",
+ " 479 | \n",
+ " 1269 | \n",
+ " 870 | \n",
+ " 780 | \n",
+ " 1028 | \n",
+ " 1024 | \n",
+ " 920 | \n",
+ " 1608 | \n",
+ " 1043 | \n",
+ " 594 | \n",
"
\n",
" \n",
- " 16 | \n",
- " 2020-04-17 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 22351 | \n",
+ " 35 | \n",
+ " 2020-08-28 00:00:00 | \n",
" NaN | \n",
- " 10497 | \n",
" NaN | \n",
- " 9787 | \n",
+ " 9032 | \n",
" NaN | \n",
- " 661 | \n",
+ " 8241 | \n",
+ " NaN | \n",
+ " 7674 | \n",
+ " NaN | \n",
+ " 539 | \n",
" ... | \n",
- " 1155 | \n",
- " 3195 | \n",
- " 1960 | \n",
- " 1632 | \n",
- " 2536 | \n",
- " 2466 | \n",
- " 3275 | \n",
- " 3084 | \n",
- " 1854 | \n",
- " 1169 | \n",
+ " 455 | \n",
+ " 1148 | \n",
+ " 922 | \n",
+ " 724 | \n",
+ " 945 | \n",
+ " 951 | \n",
+ " 810 | \n",
+ " 1511 | \n",
+ " 959 | \n",
+ " 591 | \n",
"
\n",
" \n",
- " 17 | \n",
- " 2020-04-24 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 21997 | \n",
+ " 36 | \n",
+ " 2020-09-04 00:00:00 | \n",
" NaN | \n",
- " 10458 | \n",
" NaN | \n",
- " 9768 | \n",
+ " 7739 | \n",
" NaN | \n",
- " 662 | \n",
+ " 9182 | \n",
+ " NaN | \n",
+ " 8604 | \n",
+ " NaN | \n",
+ " 552 | \n",
" ... | \n",
- " 1103 | \n",
- " 3109 | \n",
- " 2095 | \n",
- " 1711 | \n",
- " 2481 | \n",
- " 2299 | \n",
- " 2785 | \n",
- " 3334 | \n",
- " 1924 | \n",
- " 1124 | \n",
+ " 431 | \n",
+ " 1057 | \n",
+ " 780 | \n",
+ " 640 | \n",
+ " 770 | \n",
+ " 806 | \n",
+ " 737 | \n",
+ " 1208 | \n",
+ " 803 | \n",
+ " 488 | \n",
"
\n",
" \n",
- " 18 | \n",
- " 2020-05-01 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 17953 | \n",
+ " 37 | \n",
+ " 2020-09-11 00:00:00 | \n",
" NaN | \n",
- " 9941 | \n",
" NaN | \n",
- " 9289 | \n",
+ " 9811 | \n",
" NaN | \n",
- " 624 | \n",
+ " 9306 | \n",
+ " NaN | \n",
+ " 8708 | \n",
+ " NaN | \n",
+ " 577 | \n",
" ... | \n",
- " 922 | \n",
- " 2503 | \n",
- " 1844 | \n",
- " 1418 | \n",
- " 1975 | \n",
- " 1982 | \n",
- " 1953 | \n",
- " 2853 | \n",
- " 1554 | \n",
- " 929 | \n",
+ " 502 | \n",
+ " 1229 | \n",
+ " 952 | \n",
+ " 867 | \n",
+ " 1021 | \n",
+ " 1052 | \n",
+ " 898 | \n",
+ " 1610 | \n",
+ " 1084 | \n",
+ " 578 | \n",
"
\n",
" \n",
- " 19 | \n",
- " 2020-05-08 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 12657 | \n",
+ " 38 | \n",
+ " 2020-09-18 00:00:00 | \n",
" NaN | \n",
- " 9576 | \n",
" NaN | \n",
- " 8937 | \n",
+ " 9523 | \n",
" NaN | \n",
- " 612 | \n",
+ " 9264 | \n",
+ " NaN | \n",
+ " 8663 | \n",
+ " NaN | \n",
+ " 575 | \n",
" ... | \n",
- " 769 | \n",
- " 1790 | \n",
- " 1328 | \n",
- " 1094 | \n",
- " 1326 | \n",
- " 1321 | \n",
- " 1213 | \n",
- " 1887 | \n",
- " 1218 | \n",
- " 692 | \n",
+ " 465 | \n",
+ " 1287 | \n",
+ " 939 | \n",
+ " 795 | \n",
+ " 1051 | \n",
+ " 1023 | \n",
+ " 844 | \n",
+ " 1530 | \n",
+ " 1021 | \n",
+ " 555 | \n",
"
\n",
" \n",
- " 20 | \n",
- " 2020-05-15 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 14573 | \n",
+ " 39 | \n",
+ " 2020-09-25 00:00:00 | \n",
" NaN | \n",
- " 10188 | \n",
" NaN | \n",
- " 9526 | \n",
+ " 9634 | \n",
" NaN | \n",
- " 635 | \n",
+ " 9377 | \n",
+ " NaN | \n",
+ " 8744 | \n",
+ " NaN | \n",
+ " 604 | \n",
" ... | \n",
- " 845 | \n",
- " 1992 | \n",
- " 1589 | \n",
- " 1283 | \n",
- " 1502 | \n",
- " 1543 | \n",
- " 1329 | \n",
- " 2251 | \n",
- " 1449 | \n",
- " 772 | \n",
+ " 514 | \n",
+ " 1271 | \n",
+ " 965 | \n",
+ " 825 | \n",
+ " 1036 | \n",
+ " 963 | \n",
+ " 869 | \n",
+ " 1521 | \n",
+ " 1041 | \n",
+ " 617 | \n",
"
\n",
" \n",
- " 21 | \n",
- " 2020-05-22 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 12288 | \n",
+ " 40 | \n",
+ " 2020-10-02 00:00:00 | \n",
" NaN | \n",
- " 9940 | \n",
" NaN | \n",
- " 9299 | \n",
+ " 9945 | \n",
" NaN | \n",
- " 614 | \n",
+ " 9555 | \n",
+ " NaN | \n",
+ " 8942 | \n",
+ " NaN | \n",
+ " 587 | \n",
" ... | \n",
- " 718 | \n",
- " 1636 | \n",
- " 1236 | \n",
- " 1041 | \n",
- " 1319 | \n",
- " 1397 | \n",
- " 1125 | \n",
- " 1937 | \n",
- " 1177 | \n",
- " 692 | \n",
+ " 558 | \n",
+ " 1301 | \n",
+ " 978 | \n",
+ " 842 | \n",
+ " 1045 | \n",
+ " 1054 | \n",
+ " 899 | \n",
+ " 1577 | \n",
+ " 1003 | \n",
+ " 671 | \n",
"
\n",
" \n",
- " 22 | \n",
- " 2020-05-29 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 9824 | \n",
+ " 41 | \n",
+ " 2020-10-09 00:00:00 | \n",
" NaN | \n",
- " 8171 | \n",
" NaN | \n",
- " 7607 | \n",
+ " 9954 | \n",
" NaN | \n",
- " 546 | \n",
+ " 9811 | \n",
+ " NaN | \n",
+ " 9168 | \n",
+ " NaN | \n",
+ " 615 | \n",
" ... | \n",
- " 550 | \n",
- " 1337 | \n",
- " 1046 | \n",
- " 863 | \n",
- " 970 | \n",
- " 1095 | \n",
- " 841 | \n",
- " 1515 | \n",
- " 1011 | \n",
- " 587 | \n",
+ " 544 | \n",
+ " 1367 | \n",
+ " 1067 | \n",
+ " 884 | \n",
+ " 1053 | \n",
+ " 1019 | \n",
+ " 902 | \n",
+ " 1462 | \n",
+ " 1010 | \n",
+ " 638 | \n",
"
\n",
" \n",
- " 23 | \n",
- " 2020-06-05 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 10709 | \n",
+ " 42 | \n",
+ " 2020-10-16 00:00:00 | \n",
" NaN | \n",
- " 9977 | \n",
" NaN | \n",
- " 9346 | \n",
+ " 10534 | \n",
" NaN | \n",
- " 610 | \n",
+ " 9865 | \n",
+ " NaN | \n",
+ " 9215 | \n",
+ " NaN | \n",
+ " 630 | \n",
" ... | \n",
- " 576 | \n",
- " 1478 | \n",
- " 1090 | \n",
- " 931 | \n",
- " 1172 | \n",
- " 1131 | \n",
- " 891 | \n",
- " 1610 | \n",
- " 1116 | \n",
- " 700 | \n",
+ " 606 | \n",
+ " 1553 | \n",
+ " 1001 | \n",
+ " 904 | \n",
+ " 1154 | \n",
+ " 1056 | \n",
+ " 923 | \n",
+ " 1462 | \n",
+ " 1174 | \n",
+ " 688 | \n",
"
\n",
" \n",
- " 24 | \n",
- " 2020-06-12 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 9976 | \n",
+ " 43 | \n",
+ " 2020-10-23 00:00:00 | \n",
" NaN | \n",
- " 9417 | \n",
" NaN | \n",
- " 8803 | \n",
+ " 10739 | \n",
" NaN | \n",
- " 588 | \n",
+ " 9759 | \n",
+ " NaN | \n",
+ " 9104 | \n",
+ " NaN | \n",
+ " 628 | \n",
" ... | \n",
- " 478 | \n",
- " 1374 | \n",
- " 980 | \n",
- " 967 | \n",
- " 1096 | \n",
- " 1048 | \n",
- " 883 | \n",
- " 1530 | \n",
- " 1035 | \n",
- " 574 | \n",
+ " 600 | \n",
+ " 1714 | \n",
+ " 1111 | \n",
+ " 891 | \n",
+ " 1124 | \n",
+ " 1154 | \n",
+ " 922 | \n",
+ " 1510 | \n",
+ " 1044 | \n",
+ " 661 | \n",
"
\n",
" \n",
- " 25 | \n",
- " 2020-06-19 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 9339 | \n",
+ " 44 | \n",
+ " 2020-10-30 00:00:00 | \n",
+ " NaN | \n",
" NaN | \n",
- " 9404 | \n",
+ " 10887 | \n",
" NaN | \n",
- " 8810 | \n",
+ " 9891 | \n",
" NaN | \n",
- " 573 | \n",
+ " 9248 | \n",
+ " NaN | \n",
+ " 616 | \n",
" ... | \n",
- " 498 | \n",
- " 1234 | \n",
- " 952 | \n",
- " 835 | \n",
- " 973 | \n",
- " 927 | \n",
- " 896 | \n",
- " 1411 | \n",
- " 990 | \n",
- " 617 | \n",
+ " 591 | \n",
+ " 1754 | \n",
+ " 1168 | \n",
+ " 882 | \n",
+ " 1102 | \n",
+ " 1089 | \n",
+ " 888 | \n",
+ " 1563 | \n",
+ " 1129 | \n",
+ " 712 | \n",
"
\n",
" \n",
- " 26 | \n",
- " 2020-06-26 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 8979 | \n",
+ " 45 | \n",
+ " 2020-11-06 00:00:00 | \n",
" NaN | \n",
- " 9293 | \n",
" NaN | \n",
- " 8695 | \n",
+ " 11812 | \n",
" NaN | \n",
- " 571 | \n",
+ " 10331 | \n",
+ " NaN | \n",
+ " 9675 | \n",
+ " NaN | \n",
+ " 625 | \n",
" ... | \n",
- " 485 | \n",
- " 1300 | \n",
- " 922 | \n",
- " 800 | \n",
- " 946 | \n",
- " 880 | \n",
- " 791 | \n",
- " 1311 | \n",
- " 979 | \n",
- " 552 | \n",
+ " 675 | \n",
+ " 1900 | \n",
+ " 1294 | \n",
+ " 990 | \n",
+ " 1186 | \n",
+ " 1177 | \n",
+ " 952 | \n",
+ " 1614 | \n",
+ " 1174 | \n",
+ " 832 | \n",
"
\n",
" \n",
- " 27 | \n",
- " 2020-07-03 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 9140 | \n",
+ " 46 | \n",
+ " 2020-11-13 00:00:00 | \n",
" NaN | \n",
- " 9183 | \n",
" NaN | \n",
- " 8606 | \n",
+ " 12254 | \n",
" NaN | \n",
- " 555 | \n",
+ " 10350 | \n",
+ " NaN | \n",
+ " 9662 | \n",
+ " NaN | \n",
+ " 658 | \n",
" ... | \n",
- " 515 | \n",
- " 1225 | \n",
- " 875 | \n",
- " 827 | \n",
- " 949 | \n",
- " 922 | \n",
- " 837 | \n",
- " 1454 | \n",
- " 938 | \n",
- " 584 | \n",
+ " 711 | \n",
+ " 1950 | \n",
+ " 1350 | \n",
+ " 1099 | \n",
+ " 1317 | \n",
+ " 1172 | \n",
+ " 1112 | \n",
+ " 1616 | \n",
+ " 1168 | \n",
+ " 742 | \n",
"
\n",
" \n",
- " 28 | \n",
- " 2020-07-10 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 8690 | \n",
+ " 47 | \n",
+ " 2020-11-20 00:00:00 | \n",
" NaN | \n",
- " 9250 | \n",
" NaN | \n",
- " 8648 | \n",
+ " 12535 | \n",
" NaN | \n",
- " 578 | \n",
+ " 10380 | \n",
+ " NaN | \n",
+ " 9701 | \n",
+ " NaN | \n",
+ " 653 | \n",
" ... | \n",
- " 468 | \n",
- " 1154 | \n",
+ " 691 | \n",
+ " 1935 | \n",
+ " 1441 | \n",
+ " 1105 | \n",
+ " 1385 | \n",
+ " 1186 | \n",
+ " 1086 | \n",
+ " 1687 | \n",
+ " 1159 | \n",
" 848 | \n",
- " 771 | \n",
- " 902 | \n",
- " 999 | \n",
- " 803 | \n",
- " 1228 | \n",
- " 930 | \n",
- " 572 | \n",
"
\n",
" \n",
- " 29 | \n",
- " 2020-07-17 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 8823 | \n",
+ " 48 | \n",
+ " 2020-11-27 00:00:00 | \n",
" NaN | \n",
- " 9093 | \n",
" NaN | \n",
- " 8502 | \n",
+ " 12456 | \n",
" NaN | \n",
- " 557 | \n",
+ " 10357 | \n",
+ " NaN | \n",
+ " 9690 | \n",
+ " NaN | \n",
+ " 646 | \n",
" ... | \n",
- " 445 | \n",
+ " 679 | \n",
+ " 1791 | \n",
+ " 1501 | \n",
+ " 1218 | \n",
+ " 1358 | \n",
" 1159 | \n",
- " 843 | \n",
- " 816 | \n",
- " 956 | \n",
- " 945 | \n",
- " 806 | \n",
- " 1339 | \n",
- " 953 | \n",
- " 550 | \n",
+ " 1012 | \n",
+ " 1655 | \n",
+ " 1272 | \n",
+ " 797 | \n",
"
\n",
" \n",
- " 30 | \n",
- " 2020-07-24 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 8891 | \n",
+ " 49 | \n",
+ " 2020-12-04 00:00:00 | \n",
" NaN | \n",
- " 9052 | \n",
" NaN | \n",
- " 8452 | \n",
+ " 12303 | \n",
" NaN | \n",
- " 566 | \n",
+ " 10695 | \n",
+ " NaN | \n",
+ " 9995 | \n",
+ " NaN | \n",
+ " 679 | \n",
" ... | \n",
- " 493 | \n",
- " 1197 | \n",
- " 817 | \n",
- " 798 | \n",
- " 964 | \n",
- " 951 | \n",
- " 816 | \n",
+ " 645 | \n",
+ " 1679 | \n",
+ " 1403 | \n",
+ " 1121 | \n",
" 1340 | \n",
- " 941 | \n",
- " 565 | \n",
+ " 1229 | \n",
+ " 1029 | \n",
+ " 1720 | \n",
+ " 1284 | \n",
+ " 836 | \n",
"
\n",
" \n",
- " 31 | \n",
- " 2020-07-31 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " 8946 | \n",
+ " 50 | \n",
+ " 2020-12-11 00:00:00 | \n",
" NaN | \n",
- " 9036 | \n",
" NaN | \n",
- " 8436 | \n",
+ " 12292 | \n",
" NaN | \n",
- " 572 | \n",
+ " 10750 | \n",
+ " NaN | \n",
+ " 10034 | \n",
+ " NaN | \n",
+ " 693 | \n",
" ... | \n",
- " 507 | \n",
- " 1272 | \n",
- " 837 | \n",
- " 729 | \n",
- " 902 | \n",
- " 949 | \n",
- " 773 | \n",
- " 1447 | \n",
- " 988 | \n",
- " 531 | \n",
+ " 661 | \n",
+ " 1691 | \n",
+ " 1326 | \n",
+ " 1199 | \n",
+ " 1432 | \n",
+ " 1224 | \n",
+ " 1065 | \n",
+ " 1706 | \n",
+ " 1156 | \n",
+ " 814 | \n",
"
\n",
" \n",
- " 32 | \n",
- " 2020-08-07 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 33 | \n",
- " 2020-08-14 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 34 | \n",
- " 2020-08-21 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 35 | \n",
- " 2020-08-28 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 36 | \n",
- " 2020-09-04 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 37 | \n",
- " 2020-09-11 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 38 | \n",
- " 2020-09-18 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 39 | \n",
- " 2020-09-25 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 40 | \n",
- " 2020-10-02 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 41 | \n",
- " 2020-10-09 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 42 | \n",
- " 2020-10-16 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 43 | \n",
- " 2020-10-23 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 44 | \n",
- " 2020-10-30 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 45 | \n",
- " 2020-11-06 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 46 | \n",
- " 2020-11-13 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 47 | \n",
- " 2020-11-20 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 48 | \n",
- " 2020-11-27 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 49 | \n",
- " 2020-12-04 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 50 | \n",
- " 2020-12-11 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 51 | \n",
+ " 51 | \n",
" 2020-12-18 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " 13011 | \n",
+ " NaN | \n",
+ " 11548 | \n",
+ " NaN | \n",
+ " 10804 | \n",
+ " NaN | \n",
+ " 718 | \n",
" ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 52 | \n",
+ " 689 | \n",
+ " 1718 | \n",
+ " 1380 | \n",
+ " 1199 | \n",
+ " 1385 | \n",
+ " 1317 | \n",
+ " 1167 | \n",
+ " 1947 | \n",
+ " 1311 | \n",
+ " 882 | \n",
+ "
\n",
+ " \n",
+ " 52 | \n",
" 2020-12-25 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " 11520 | \n",
+ " NaN | \n",
+ " 7954 | \n",
+ " NaN | \n",
+ " 7421 | \n",
+ " NaN | \n",
+ " 518 | \n",
" ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- "
\n",
- " \n",
- " 53 | \n",
+ " 669 | \n",
+ " 1463 | \n",
+ " 1130 | \n",
+ " 1097 | \n",
+ " 1217 | \n",
+ " 1198 | \n",
+ " 1090 | \n",
+ " 1701 | \n",
+ " 1115 | \n",
+ " 825 | \n",
+ "
\n",
+ " \n",
+ " 53 | \n",
" 2021-01-01 00:00:00 | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " 10069 | \n",
+ " NaN | \n",
+ " 7954 | \n",
+ " NaN | \n",
+ " 7421 | \n",
+ " NaN | \n",
+ " 518 | \n",
" ... | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
- " NaT | \n",
+ " 547 | \n",
+ " 1346 | \n",
+ " 886 | \n",
+ " 842 | \n",
+ " 1024 | \n",
+ " 997 | \n",
+ " 1159 | \n",
+ " 1595 | \n",
+ " 929 | \n",
+ " 727 | \n",
"
\n",
" \n",
"
\n",
@@ -2253,61 +2943,61 @@
"
"
],
"text/plain": [
- " NaN NaN NaN NaN \\\n",
- "Week number Week ended NaT NaT Total deaths, all ages \n",
- "1 2020-01-03 00:00:00 NaT NaT 12254 \n",
- "2 2020-01-10 00:00:00 NaT NaT 14058 \n",
- "3 2020-01-17 00:00:00 NaT NaT 12990 \n",
- "4 2020-01-24 00:00:00 NaT NaT 11856 \n",
- "5 2020-01-31 00:00:00 NaT NaT 11612 \n",
- "6 2020-02-07 00:00:00 NaT NaT 10986 \n",
- "7 2020-02-14 00:00:00 NaT NaT 10944 \n",
- "8 2020-02-21 00:00:00 NaT NaT 10841 \n",
- "9 2020-02-28 00:00:00 NaT NaT 10816 \n",
- "10 2020-03-06 00:00:00 NaT NaT 10895 \n",
- "11 2020-03-13 00:00:00 NaT NaT 11019 \n",
- "12 2020-03-20 00:00:00 NaT NaT 10645 \n",
- "13 2020-03-27 00:00:00 NaT NaT 11141 \n",
- "14 2020-04-03 00:00:00 NaT NaT 16387 \n",
- "15 2020-04-10 00:00:00 NaT NaT 18516 \n",
- "16 2020-04-17 00:00:00 NaT NaT 22351 \n",
- "17 2020-04-24 00:00:00 NaT NaT 21997 \n",
- "18 2020-05-01 00:00:00 NaT NaT 17953 \n",
- "19 2020-05-08 00:00:00 NaT NaT 12657 \n",
- "20 2020-05-15 00:00:00 NaT NaT 14573 \n",
- "21 2020-05-22 00:00:00 NaT NaT 12288 \n",
- "22 2020-05-29 00:00:00 NaT NaT 9824 \n",
- "23 2020-06-05 00:00:00 NaT NaT 10709 \n",
- "24 2020-06-12 00:00:00 NaT NaT 9976 \n",
- "25 2020-06-19 00:00:00 NaT NaT 9339 \n",
- "26 2020-06-26 00:00:00 NaT NaT 8979 \n",
- "27 2020-07-03 00:00:00 NaT NaT 9140 \n",
- "28 2020-07-10 00:00:00 NaT NaT 8690 \n",
- "29 2020-07-17 00:00:00 NaT NaT 8823 \n",
- "30 2020-07-24 00:00:00 NaT NaT 8891 \n",
- "31 2020-07-31 00:00:00 NaT NaT 8946 \n",
- "32 2020-08-07 00:00:00 NaT NaT NaT \n",
- "33 2020-08-14 00:00:00 NaT NaT NaT \n",
- "34 2020-08-21 00:00:00 NaT NaT NaT \n",
- "35 2020-08-28 00:00:00 NaT NaT NaT \n",
- "36 2020-09-04 00:00:00 NaT NaT NaT \n",
- "37 2020-09-11 00:00:00 NaT NaT NaT \n",
- "38 2020-09-18 00:00:00 NaT NaT NaT \n",
- "39 2020-09-25 00:00:00 NaT NaT NaT \n",
- "40 2020-10-02 00:00:00 NaT NaT NaT \n",
- "41 2020-10-09 00:00:00 NaT NaT NaT \n",
- "42 2020-10-16 00:00:00 NaT NaT NaT \n",
- "43 2020-10-23 00:00:00 NaT NaT NaT \n",
- "44 2020-10-30 00:00:00 NaT NaT NaT \n",
- "45 2020-11-06 00:00:00 NaT NaT NaT \n",
- "46 2020-11-13 00:00:00 NaT NaT NaT \n",
- "47 2020-11-20 00:00:00 NaT NaT NaT \n",
- "48 2020-11-27 00:00:00 NaT NaT NaT \n",
- "49 2020-12-04 00:00:00 NaT NaT NaT \n",
- "50 2020-12-11 00:00:00 NaT NaT NaT \n",
- "51 2020-12-18 00:00:00 NaT NaT NaT \n",
- "52 2020-12-25 00:00:00 NaT NaT NaT \n",
- "53 2021-01-01 00:00:00 NaT NaT NaT \n",
+ " NaN NaN NaN NaN \\\n",
+ "Week number Week ended NaN NaN Total deaths, all ages \n",
+ "1 2020-01-03 00:00:00 NaN NaN 12254 \n",
+ "2 2020-01-10 00:00:00 NaN NaN 14058 \n",
+ "3 2020-01-17 00:00:00 NaN NaN 12990 \n",
+ "4 2020-01-24 00:00:00 NaN NaN 11856 \n",
+ "5 2020-01-31 00:00:00 NaN NaN 11612 \n",
+ "6 2020-02-07 00:00:00 NaN NaN 10986 \n",
+ "7 2020-02-14 00:00:00 NaN NaN 10944 \n",
+ "8 2020-02-21 00:00:00 NaN NaN 10841 \n",
+ "9 2020-02-28 00:00:00 NaN NaN 10816 \n",
+ "10 2020-03-06 00:00:00 NaN NaN 10895 \n",
+ "11 2020-03-13 00:00:00 NaN NaN 11019 \n",
+ "12 2020-03-20 00:00:00 NaN NaN 10645 \n",
+ "13 2020-03-27 00:00:00 NaN NaN 11141 \n",
+ "14 2020-04-03 00:00:00 NaN NaN 16387 \n",
+ "15 2020-04-10 00:00:00 NaN NaN 18516 \n",
+ "16 2020-04-17 00:00:00 NaN NaN 22351 \n",
+ "17 2020-04-24 00:00:00 NaN NaN 21997 \n",
+ "18 2020-05-01 00:00:00 NaN NaN 17953 \n",
+ "19 2020-05-08 00:00:00 NaN NaN 12657 \n",
+ "20 2020-05-15 00:00:00 NaN NaN 14573 \n",
+ "21 2020-05-22 00:00:00 NaN NaN 12288 \n",
+ "22 2020-05-29 00:00:00 NaN NaN 9824 \n",
+ "23 2020-06-05 00:00:00 NaN NaN 10709 \n",
+ "24 2020-06-12 00:00:00 NaN NaN 9976 \n",
+ "25 2020-06-19 00:00:00 NaN NaN 9339 \n",
+ "26 2020-06-26 00:00:00 NaN NaN 8979 \n",
+ "27 2020-07-03 00:00:00 NaN NaN 9140 \n",
+ "28 2020-07-10 00:00:00 NaN NaN 8690 \n",
+ "29 2020-07-17 00:00:00 NaN NaN 8823 \n",
+ "30 2020-07-24 00:00:00 NaN NaN 8891 \n",
+ "31 2020-07-31 00:00:00 NaN NaN 8946 \n",
+ "32 2020-08-07 00:00:00 NaN NaN 8945 \n",
+ "33 2020-08-14 00:00:00 NaN NaN 9392 \n",
+ "34 2020-08-21 00:00:00 NaN NaN 9631 \n",
+ "35 2020-08-28 00:00:00 NaN NaN 9032 \n",
+ "36 2020-09-04 00:00:00 NaN NaN 7739 \n",
+ "37 2020-09-11 00:00:00 NaN NaN 9811 \n",
+ "38 2020-09-18 00:00:00 NaN NaN 9523 \n",
+ "39 2020-09-25 00:00:00 NaN NaN 9634 \n",
+ "40 2020-10-02 00:00:00 NaN NaN 9945 \n",
+ "41 2020-10-09 00:00:00 NaN NaN 9954 \n",
+ "42 2020-10-16 00:00:00 NaN NaN 10534 \n",
+ "43 2020-10-23 00:00:00 NaN NaN 10739 \n",
+ "44 2020-10-30 00:00:00 NaN NaN 10887 \n",
+ "45 2020-11-06 00:00:00 NaN NaN 11812 \n",
+ "46 2020-11-13 00:00:00 NaN NaN 12254 \n",
+ "47 2020-11-20 00:00:00 NaN NaN 12535 \n",
+ "48 2020-11-27 00:00:00 NaN NaN 12456 \n",
+ "49 2020-12-04 00:00:00 NaN NaN 12303 \n",
+ "50 2020-12-11 00:00:00 NaN NaN 12292 \n",
+ "51 2020-12-18 00:00:00 NaN NaN 13011 \n",
+ "52 2020-12-25 00:00:00 NaN NaN 11520 \n",
+ "53 2021-01-01 00:00:00 NaN NaN 10069 \n",
"\n",
" NaN \\\n",
"Week number Total deaths: average of corresponding \n",
@@ -2342,31 +3032,31 @@
"29 NaN \n",
"30 NaN \n",
"31 NaN \n",
- "32 NaT \n",
- "33 NaT \n",
- "34 NaT \n",
- "35 NaT \n",
- "36 NaT \n",
- "37 NaT \n",
- "38 NaT \n",
- "39 NaT \n",
- "40 NaT \n",
- "41 NaT \n",
- "42 NaT \n",
- "43 NaT \n",
- "44 NaT \n",
- "45 NaT \n",
- "46 NaT \n",
- "47 NaT \n",
- "48 NaT \n",
- "49 NaT \n",
- "50 NaT \n",
- "51 NaT \n",
- "52 NaT \n",
- "53 NaT \n",
+ "32 NaN \n",
+ "33 NaN \n",
+ "34 NaN \n",
+ "35 NaN \n",
+ "36 NaN \n",
+ "37 NaN \n",
+ "38 NaN \n",
+ "39 NaN \n",
+ "40 NaN \n",
+ "41 NaN \n",
+ "42 NaN \n",
+ "43 NaN \n",
+ "44 NaN \n",
+ "45 NaN \n",
+ "46 NaN \n",
+ "47 NaN \n",
+ "48 NaN \n",
+ "49 NaN \n",
+ "50 NaN \n",
+ "51 NaN \n",
+ "52 NaN \n",
+ "53 NaN \n",
"\n",
" NaN \\\n",
- "Week number week over the previous 5 years 1 (England and ... \n",
+ "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
"1 12175 \n",
"2 13822 \n",
"3 13216 \n",
@@ -2398,28 +3088,28 @@
"29 9093 \n",
"30 9052 \n",
"31 9036 \n",
- "32 NaT \n",
- "33 NaT \n",
- "34 NaT \n",
- "35 NaT \n",
- "36 NaT \n",
- "37 NaT \n",
- "38 NaT \n",
- "39 NaT \n",
- "40 NaT \n",
- "41 NaT \n",
- "42 NaT \n",
- "43 NaT \n",
- "44 NaT \n",
- "45 NaT \n",
- "46 NaT \n",
- "47 NaT \n",
- "48 NaT \n",
- "49 NaT \n",
- "50 NaT \n",
- "51 NaT \n",
- "52 NaT \n",
- "53 NaT \n",
+ "32 9102 \n",
+ "33 9085 \n",
+ "34 9157 \n",
+ "35 8241 \n",
+ "36 9182 \n",
+ "37 9306 \n",
+ "38 9264 \n",
+ "39 9377 \n",
+ "40 9555 \n",
+ "41 9811 \n",
+ "42 9865 \n",
+ "43 9759 \n",
+ "44 9891 \n",
+ "45 10331 \n",
+ "46 10350 \n",
+ "47 10380 \n",
+ "48 10357 \n",
+ "49 10695 \n",
+ "50 10750 \n",
+ "51 11548 \n",
+ "52 7954 \n",
+ "53 7954 \n",
"\n",
" NaN \\\n",
"Week number Total deaths: average of corresponding \n",
@@ -2454,84 +3144,84 @@
"29 NaN \n",
"30 NaN \n",
"31 NaN \n",
- "32 NaT \n",
- "33 NaT \n",
- "34 NaT \n",
- "35 NaT \n",
- "36 NaT \n",
- "37 NaT \n",
- "38 NaT \n",
- "39 NaT \n",
- "40 NaT \n",
- "41 NaT \n",
- "42 NaT \n",
- "43 NaT \n",
- "44 NaT \n",
- "45 NaT \n",
- "46 NaT \n",
- "47 NaT \n",
- "48 NaT \n",
- "49 NaT \n",
- "50 NaT \n",
- "51 NaT \n",
- "52 NaT \n",
- "53 NaT \n",
+ "32 NaN \n",
+ "33 NaN \n",
+ "34 NaN \n",
+ "35 NaN \n",
+ "36 NaN \n",
+ "37 NaN \n",
+ "38 NaN \n",
+ "39 NaN \n",
+ "40 NaN \n",
+ "41 NaN \n",
+ "42 NaN \n",
+ "43 NaN \n",
+ "44 NaN \n",
+ "45 NaN \n",
+ "46 NaN \n",
+ "47 NaN \n",
+ "48 NaN \n",
+ "49 NaN \n",
+ "50 NaN \n",
+ "51 NaN \n",
+ "52 NaN \n",
+ "53 NaN \n",
"\n",
- " NaN \\\n",
- "Week number week over the previous 5 years 1 (England) \n",
- "1 11412 \n",
- "2 12933 \n",
- "3 12370 \n",
- "4 11933 \n",
- "5 11419 \n",
- "6 11154 \n",
- "7 10876 \n",
- "8 10790 \n",
- "9 10448 \n",
- "10 10745 \n",
- "11 10447 \n",
- "12 9841 \n",
- "13 9414 \n",
- "14 9601 \n",
- "15 9807 \n",
- "16 9787 \n",
- "17 9768 \n",
- "18 9289 \n",
- "19 8937 \n",
- "20 9526 \n",
- "21 9299 \n",
- "22 7607 \n",
- "23 9346 \n",
- "24 8803 \n",
- "25 8810 \n",
- "26 8695 \n",
- "27 8606 \n",
- "28 8648 \n",
- "29 8502 \n",
- "30 8452 \n",
- "31 8436 \n",
- "32 NaT \n",
- "33 NaT \n",
- "34 NaT \n",
- "35 NaT \n",
- "36 NaT \n",
- "37 NaT \n",
- "38 NaT \n",
- "39 NaT \n",
- "40 NaT \n",
- "41 NaT \n",
- "42 NaT \n",
- "43 NaT \n",
- "44 NaT \n",
- "45 NaT \n",
- "46 NaT \n",
- "47 NaT \n",
- "48 NaT \n",
- "49 NaT \n",
- "50 NaT \n",
- "51 NaT \n",
- "52 NaT \n",
- "53 NaT \n",
+ " NaN \\\n",
+ "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
+ "1 11412 \n",
+ "2 12933 \n",
+ "3 12370 \n",
+ "4 11933 \n",
+ "5 11419 \n",
+ "6 11154 \n",
+ "7 10876 \n",
+ "8 10790 \n",
+ "9 10448 \n",
+ "10 10745 \n",
+ "11 10447 \n",
+ "12 9841 \n",
+ "13 9414 \n",
+ "14 9601 \n",
+ "15 9807 \n",
+ "16 9787 \n",
+ "17 9768 \n",
+ "18 9289 \n",
+ "19 8937 \n",
+ "20 9526 \n",
+ "21 9299 \n",
+ "22 7607 \n",
+ "23 9346 \n",
+ "24 8803 \n",
+ "25 8810 \n",
+ "26 8695 \n",
+ "27 8606 \n",
+ "28 8648 \n",
+ "29 8502 \n",
+ "30 8452 \n",
+ "31 8436 \n",
+ "32 8502 \n",
+ "33 8494 \n",
+ "34 8560 \n",
+ "35 7674 \n",
+ "36 8604 \n",
+ "37 8708 \n",
+ "38 8663 \n",
+ "39 8744 \n",
+ "40 8942 \n",
+ "41 9168 \n",
+ "42 9215 \n",
+ "43 9104 \n",
+ "44 9248 \n",
+ "45 9675 \n",
+ "46 9662 \n",
+ "47 9701 \n",
+ "48 9690 \n",
+ "49 9995 \n",
+ "50 10034 \n",
+ "51 10804 \n",
+ "52 7421 \n",
+ "53 7421 \n",
"\n",
" NaN \\\n",
"Week number Total deaths: average of corresponding \n",
@@ -2566,84 +3256,84 @@
"29 NaN \n",
"30 NaN \n",
"31 NaN \n",
- "32 NaT \n",
- "33 NaT \n",
- "34 NaT \n",
- "35 NaT \n",
- "36 NaT \n",
- "37 NaT \n",
- "38 NaT \n",
- "39 NaT \n",
- "40 NaT \n",
- "41 NaT \n",
- "42 NaT \n",
- "43 NaT \n",
- "44 NaT \n",
- "45 NaT \n",
- "46 NaT \n",
- "47 NaT \n",
- "48 NaT \n",
- "49 NaT \n",
- "50 NaT \n",
- "51 NaT \n",
- "52 NaT \n",
- "53 NaT \n",
+ "32 NaN \n",
+ "33 NaN \n",
+ "34 NaN \n",
+ "35 NaN \n",
+ "36 NaN \n",
+ "37 NaN \n",
+ "38 NaN \n",
+ "39 NaN \n",
+ "40 NaN \n",
+ "41 NaN \n",
+ "42 NaN \n",
+ "43 NaN \n",
+ "44 NaN \n",
+ "45 NaN \n",
+ "46 NaN \n",
+ "47 NaN \n",
+ "48 NaN \n",
+ "49 NaN \n",
+ "50 NaN \n",
+ "51 NaN \n",
+ "52 NaN \n",
+ "53 NaN \n",
"\n",
- " NaN ... North East \\\n",
- "Week number week over the previous 5 years 1 (Wales) ... E12000001 \n",
- "1 756 ... 673 \n",
- "2 856 ... 707 \n",
- "3 812 ... 647 \n",
- "4 802 ... 612 \n",
- "5 760 ... 561 \n",
- "6 729 ... 564 \n",
- "7 722 ... 573 \n",
- "8 724 ... 539 \n",
- "9 698 ... 572 \n",
- "10 720 ... 568 \n",
- "11 727 ... 590 \n",
- "12 677 ... 522 \n",
- "13 665 ... 542 \n",
- "14 667 ... 770 \n",
- "15 671 ... 849 \n",
- "16 661 ... 1155 \n",
- "17 662 ... 1103 \n",
- "18 624 ... 922 \n",
- "19 612 ... 769 \n",
- "20 635 ... 845 \n",
- "21 614 ... 718 \n",
- "22 546 ... 550 \n",
- "23 610 ... 576 \n",
- "24 588 ... 478 \n",
- "25 573 ... 498 \n",
- "26 571 ... 485 \n",
- "27 555 ... 515 \n",
- "28 578 ... 468 \n",
- "29 557 ... 445 \n",
- "30 566 ... 493 \n",
- "31 572 ... 507 \n",
- "32 NaT ... NaT \n",
- "33 NaT ... NaT \n",
- "34 NaT ... NaT \n",
- "35 NaT ... NaT \n",
- "36 NaT ... NaT \n",
- "37 NaT ... NaT \n",
- "38 NaT ... NaT \n",
- "39 NaT ... NaT \n",
- "40 NaT ... NaT \n",
- "41 NaT ... NaT \n",
- "42 NaT ... NaT \n",
- "43 NaT ... NaT \n",
- "44 NaT ... NaT \n",
- "45 NaT ... NaT \n",
- "46 NaT ... NaT \n",
- "47 NaT ... NaT \n",
- "48 NaT ... NaT \n",
- "49 NaT ... NaT \n",
- "50 NaT ... NaT \n",
- "51 NaT ... NaT \n",
- "52 NaT ... NaT \n",
- "53 NaT ... NaT \n",
+ " NaN ... North East \\\n",
+ "Week number week over the previous 5 years 1, 10, 11 (Wales) ... E12000001 \n",
+ "1 756 ... 673 \n",
+ "2 856 ... 707 \n",
+ "3 812 ... 647 \n",
+ "4 802 ... 612 \n",
+ "5 760 ... 561 \n",
+ "6 729 ... 564 \n",
+ "7 722 ... 573 \n",
+ "8 724 ... 539 \n",
+ "9 698 ... 572 \n",
+ "10 720 ... 568 \n",
+ "11 727 ... 590 \n",
+ "12 677 ... 522 \n",
+ "13 665 ... 542 \n",
+ "14 667 ... 770 \n",
+ "15 671 ... 849 \n",
+ "16 661 ... 1155 \n",
+ "17 662 ... 1103 \n",
+ "18 624 ... 922 \n",
+ "19 612 ... 769 \n",
+ "20 635 ... 845 \n",
+ "21 614 ... 718 \n",
+ "22 546 ... 550 \n",
+ "23 610 ... 576 \n",
+ "24 588 ... 478 \n",
+ "25 573 ... 498 \n",
+ "26 571 ... 485 \n",
+ "27 555 ... 515 \n",
+ "28 578 ... 468 \n",
+ "29 557 ... 445 \n",
+ "30 566 ... 493 \n",
+ "31 572 ... 507 \n",
+ "32 571 ... 486 \n",
+ "33 564 ... 520 \n",
+ "34 573 ... 479 \n",
+ "35 539 ... 455 \n",
+ "36 552 ... 431 \n",
+ "37 577 ... 502 \n",
+ "38 575 ... 465 \n",
+ "39 604 ... 514 \n",
+ "40 587 ... 558 \n",
+ "41 615 ... 544 \n",
+ "42 630 ... 606 \n",
+ "43 628 ... 600 \n",
+ "44 616 ... 591 \n",
+ "45 625 ... 675 \n",
+ "46 658 ... 711 \n",
+ "47 653 ... 691 \n",
+ "48 646 ... 679 \n",
+ "49 679 ... 645 \n",
+ "50 693 ... 661 \n",
+ "51 718 ... 689 \n",
+ "52 518 ... 669 \n",
+ "53 518 ... 547 \n",
"\n",
" North West Yorkshire and The Humber East Midlands West Midlands \\\n",
"Week number E12000002 E12000003 E12000004 E12000005 \n",
@@ -2678,28 +3368,28 @@
"29 1159 843 816 956 \n",
"30 1197 817 798 964 \n",
"31 1272 837 729 902 \n",
- "32 NaT NaT NaT NaT \n",
- "33 NaT NaT NaT NaT \n",
- "34 NaT NaT NaT NaT \n",
- "35 NaT NaT NaT NaT \n",
- "36 NaT NaT NaT NaT \n",
- "37 NaT NaT NaT NaT \n",
- "38 NaT NaT NaT NaT \n",
- "39 NaT NaT NaT NaT \n",
- "40 NaT NaT NaT NaT \n",
- "41 NaT NaT NaT NaT \n",
- "42 NaT NaT NaT NaT \n",
- "43 NaT NaT NaT NaT \n",
- "44 NaT NaT NaT NaT \n",
- "45 NaT NaT NaT NaT \n",
- "46 NaT NaT NaT NaT \n",
- "47 NaT NaT NaT NaT \n",
- "48 NaT NaT NaT NaT \n",
- "49 NaT NaT NaT NaT \n",
- "50 NaT NaT NaT NaT \n",
- "51 NaT NaT NaT NaT \n",
- "52 NaT NaT NaT NaT \n",
- "53 NaT NaT NaT NaT \n",
+ "32 1211 851 798 933 \n",
+ "33 1304 853 829 923 \n",
+ "34 1269 870 780 1028 \n",
+ "35 1148 922 724 945 \n",
+ "36 1057 780 640 770 \n",
+ "37 1229 952 867 1021 \n",
+ "38 1287 939 795 1051 \n",
+ "39 1271 965 825 1036 \n",
+ "40 1301 978 842 1045 \n",
+ "41 1367 1067 884 1053 \n",
+ "42 1553 1001 904 1154 \n",
+ "43 1714 1111 891 1124 \n",
+ "44 1754 1168 882 1102 \n",
+ "45 1900 1294 990 1186 \n",
+ "46 1950 1350 1099 1317 \n",
+ "47 1935 1441 1105 1385 \n",
+ "48 1791 1501 1218 1358 \n",
+ "49 1679 1403 1121 1340 \n",
+ "50 1691 1326 1199 1432 \n",
+ "51 1718 1380 1199 1385 \n",
+ "52 1463 1130 1097 1217 \n",
+ "53 1346 886 842 1024 \n",
"\n",
" East London South East South West Wales \n",
"Week number E12000006 E12000007 E12000008 E12000009 W92000004 \n",
@@ -2734,39 +3424,39 @@
"29 945 806 1339 953 550 \n",
"30 951 816 1340 941 565 \n",
"31 949 773 1447 988 531 \n",
- "32 NaT NaT NaT NaT NaT \n",
- "33 NaT NaT NaT NaT NaT \n",
- "34 NaT NaT NaT NaT NaT \n",
- "35 NaT NaT NaT NaT NaT \n",
- "36 NaT NaT NaT NaT NaT \n",
- "37 NaT NaT NaT NaT NaT \n",
- "38 NaT NaT NaT NaT NaT \n",
- "39 NaT NaT NaT NaT NaT \n",
- "40 NaT NaT NaT NaT NaT \n",
- "41 NaT NaT NaT NaT NaT \n",
- "42 NaT NaT NaT NaT NaT \n",
- "43 NaT NaT NaT NaT NaT \n",
- "44 NaT NaT NaT NaT NaT \n",
- "45 NaT NaT NaT NaT NaT \n",
- "46 NaT NaT NaT NaT NaT \n",
- "47 NaT NaT NaT NaT NaT \n",
- "48 NaT NaT NaT NaT NaT \n",
- "49 NaT NaT NaT NaT NaT \n",
- "50 NaT NaT NaT NaT NaT \n",
- "51 NaT NaT NaT NaT NaT \n",
- "52 NaT NaT NaT NaT NaT \n",
- "53 NaT NaT NaT NaT NaT \n",
+ "32 955 832 1370 929 563 \n",
+ "33 1006 928 1395 1009 617 \n",
+ "34 1024 920 1608 1043 594 \n",
+ "35 951 810 1511 959 591 \n",
+ "36 806 737 1208 803 488 \n",
+ "37 1052 898 1610 1084 578 \n",
+ "38 1023 844 1530 1021 555 \n",
+ "39 963 869 1521 1041 617 \n",
+ "40 1054 899 1577 1003 671 \n",
+ "41 1019 902 1462 1010 638 \n",
+ "42 1056 923 1462 1174 688 \n",
+ "43 1154 922 1510 1044 661 \n",
+ "44 1089 888 1563 1129 712 \n",
+ "45 1177 952 1614 1174 832 \n",
+ "46 1172 1112 1616 1168 742 \n",
+ "47 1186 1086 1687 1159 848 \n",
+ "48 1159 1012 1655 1272 797 \n",
+ "49 1229 1029 1720 1284 836 \n",
+ "50 1224 1065 1706 1156 814 \n",
+ "51 1317 1167 1947 1311 882 \n",
+ "52 1198 1090 1701 1115 825 \n",
+ "53 997 1159 1595 929 727 \n",
"\n",
"[54 rows x 91 columns]"
]
},
- "execution_count": 86,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "eng_xls = pd.read_excel('uk-deaths-data/publishedweek312020.xlsx', \n",
+ "eng_xls = pd.read_excel(england_wales_filename, \n",
" sheet_name=\"Weekly figures 2020\",\n",
" skiprows=[0, 1, 2, 3],\n",
" header=0,\n",
@@ -2777,8 +3467,10 @@
},
{
"cell_type": "code",
- "execution_count": 87,
- "metadata": {},
+ "execution_count": 13,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"# eng_xls_columns"
@@ -2786,8 +3478,10 @@
},
{
"cell_type": "code",
- "execution_count": 88,
- "metadata": {},
+ "execution_count": 14,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"eng_xls_columns = list(eng_xls.columns)\n",
@@ -2807,8 +3501,10 @@
},
{
"cell_type": "code",
- "execution_count": 89,
- "metadata": {},
+ "execution_count": 15,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [
{
"data": {
@@ -2845,32 +3541,32 @@
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+ "52 11520\n",
+ "53 10069\n",
"Name: Total deaths, all ages, dtype: object"
]
},
- "execution_count": 89,
+ "execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@@ -2881,8 +3577,10 @@
},
{
"cell_type": "code",
- "execution_count": 90,
- "metadata": {},
+ "execution_count": 16,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [
{
"data": {
@@ -2918,32 +3616,32 @@
"29 550\n",
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+ "50 814\n",
+ "51 882\n",
+ "52 825\n",
+ "53 727\n",
"Name: Wales, dtype: object"
]
},
- "execution_count": 90,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
@@ -2954,8 +3652,10 @@
},
{
"cell_type": "code",
- "execution_count": 91,
- "metadata": {},
+ "execution_count": 17,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"# raw_data_2020 = pd.read_csv('uk-deaths-data/publishedweek272020.csv', \n",
@@ -2967,14 +3667,18 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": []
},
{
"cell_type": "code",
- "execution_count": 92,
- "metadata": {},
+ "execution_count": 18,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"# raw_data_2020.head()"
@@ -2982,8 +3686,10 @@
},
{
"cell_type": "code",
- "execution_count": 93,
- "metadata": {},
+ "execution_count": 19,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"# raw_data_2020['W92000004', 'Wales']"
@@ -2991,8 +3697,10 @@
},
{
"cell_type": "code",
- "execution_count": 94,
- "metadata": {},
+ "execution_count": 20,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"raw_data_2019 = pd.read_csv('uk-deaths-data/publishedweek522019.csv', \n",
@@ -3004,8 +3712,10 @@
},
{
"cell_type": "code",
- "execution_count": 95,
- "metadata": {},
+ "execution_count": 21,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"raw_data_2018 = pd.read_csv('uk-deaths-data/publishedweek522018.csv', \n",
@@ -3017,8 +3727,10 @@
},
{
"cell_type": "code",
- "execution_count": 96,
- "metadata": {},
+ "execution_count": 22,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"raw_data_2017 = pd.read_csv('uk-deaths-data/publishedweek522017.csv', \n",
@@ -3030,8 +3742,10 @@
},
{
"cell_type": "code",
- "execution_count": 97,
- "metadata": {},
+ "execution_count": 23,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"raw_data_2016 = pd.read_csv('uk-deaths-data/publishedweek522016.csv', \n",
@@ -3043,8 +3757,10 @@
},
{
"cell_type": "code",
- "execution_count": 98,
- "metadata": {},
+ "execution_count": 24,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"raw_data_2015 = pd.read_csv('uk-deaths-data/publishedweek2015.csv', \n",
@@ -3056,8 +3772,10 @@
},
{
"cell_type": "code",
- "execution_count": 99,
- "metadata": {},
+ "execution_count": 25,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"dhw = eng_xls['Wales'].iloc[1:]\n",
@@ -3068,8 +3786,10 @@
},
{
"cell_type": "code",
- "execution_count": 100,
- "metadata": {},
+ "execution_count": 26,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"# deaths_headlines_e = raw_data_2020.iloc[:, [1]].copy()\n",
@@ -3084,9 +3804,23 @@
},
{
"cell_type": "code",
- "execution_count": 101,
- "metadata": {},
+ "execution_count": 27,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/neil/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py:5489: SettingWithCopyWarning: \n",
+ "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+ "Try using .loc[row_indexer,col_indexer] = value instead\n",
+ "\n",
+ "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+ " self[name] = value\n"
+ ]
+ },
{
"data": {
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- "execution_count": 101,
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"output_type": "execute_result"
}
@@ -3161,8 +3895,10 @@
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{
"cell_type": "code",
- "execution_count": 102,
- "metadata": {},
+ "execution_count": 28,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [
{
"data": {
@@ -3190,23 +3926,23 @@
" \n",
" \n",
" \n",
- " 1 | \n",
+ " 1 | \n",
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@@ -3222,7 +3958,7 @@
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},
- "execution_count": 102,
+ "execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
@@ -3233,9 +3969,24 @@
},
{
"cell_type": "code",
- "execution_count": 103,
- "metadata": {},
- "outputs": [],
+ "execution_count": 29,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/neil/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py:5489: SettingWithCopyWarning: \n",
+ "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+ "Try using .loc[row_indexer,col_indexer] = value instead\n",
+ "\n",
+ "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+ " self[name] = value\n"
+ ]
+ }
+ ],
"source": [
"dh18e = raw_data_2018.iloc[:, [1]]\n",
"dh18w = raw_data_2018['W92000004']\n",
@@ -3247,8 +3998,10 @@
},
{
"cell_type": "code",
- "execution_count": 104,
- "metadata": {},
+ "execution_count": 30,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"dh17e = raw_data_2017.iloc[:, [1]]\n",
@@ -3261,8 +4014,10 @@
},
{
"cell_type": "code",
- "execution_count": 105,
- "metadata": {},
+ "execution_count": 31,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"dh16e = raw_data_2016.iloc[:, [1]]\n",
@@ -3275,8 +4030,10 @@
},
{
"cell_type": "code",
- "execution_count": 106,
- "metadata": {},
+ "execution_count": 32,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
"dh15e = raw_data_2015.iloc[:, [1]]\n",
@@ -3289,19 +4046,614 @@
},
{
"cell_type": "code",
- "execution_count": 107,
- "metadata": {},
+ "execution_count": 33,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [],
"source": [
- "# dh18 = raw_data_2018.iloc[:, [1, 2]]\n",
- "# dh18.columns = ['total_2018', 'total_previous']\n",
- "# # dh18.head()"
+ "# dh18 = raw_data_2018.iloc[:, [1, 2]]\n",
+ "# dh18.columns = ['total_2018', 'total_previous']\n",
+ "# # dh18.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
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+ "text/plain": [
+ " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
+ "1 11467 10237.0 11940.0 11247.0 12236.0 11561\n",
+ "2 13119 11800.0 14146.0 12890.0 10790.0 15206\n",
+ "3 12223 11177.0 13371.0 12775.0 10753.0 13930\n",
+ "4 11133 11006.0 13085.0 11996.0 10600.0 13106\n",
+ "5 10885 10552.0 12470.0 11736.0 10362.0 12099\n",
+ "6 10296 10959.0 11694.0 11546.0 10470.0 11319\n",
+ "7 10216 11076.0 11443.0 10954.0 9933.0 11112\n",
+ "8 10162 10600.0 11353.0 11093.0 10360.0 10695\n",
+ "9 10165 10360.0 10220.0 10533.0 10564.0 10736\n",
+ "10 10243 10276.0 12101.0 10443.0 10276.0 10757\n",
+ "11 10344 9901.0 11870.0 10044.0 10284.0 10290\n",
+ "12 9926 9774.0 11139.0 9690.0 8967.0 9888\n",
+ "13 10422 9213.0 9308.0 9369.0 9574.0 9827\n",
+ "14 15467 9484.0 10064.0 9297.0 10857.0 8482\n",
+ "15 17588 9654.0 11558.0 7916.0 10679.0 9429\n",
+ "16 21182 8445.0 10535.0 8990.0 10211.0 10968\n",
+ "17 20873 9381.0 9692.0 10181.0 9784.0 9937\n",
+ "18 17024 10519.0 9520.0 8464.0 8568.0 9506\n",
+ "19 11965 8455.0 8094.0 10006.0 9985.0 8273\n",
+ "20 13801 9614.0 9474.0 9673.0 9342.0 9668\n",
+ "21 11596 9657.0 9033.0 9438.0 9115.0 9391\n",
+ "22 9237 7742.0 7609.0 7746.0 7409.0 7625\n",
+ "23 10009 9514.0 9343.0 9182.0 9289.0 9509\n",
+ "24 9402 8847.0 8782.0 8768.0 8808.0 8942\n",
+ "25 8722 8916.0 8694.0 9019.0 8807.0 8717\n",
+ "26 8427 8947.0 8613.0 8788.0 8679.0 8593\n",
+ "27 8556 8528.0 8633.0 8707.0 8614.0 8670\n",
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+ "29 8273 8527.0 8579.0 8562.0 8790.0 8228\n",
+ "30 8326 8569.0 8581.0 8296.0 8725.0 8262\n",
+ "31 8415 8701.0 8587.0 8351.0 8602.0 8071\n",
+ "32 8382 8580.0 8782.0 8466.0 8531.0 8298\n",
+ "33 8775 8504.0 8312.0 8707.0 8496.0 8600\n",
+ "34 9037 8441.0 8413.0 8812.0 8700.0 8564\n",
+ "35 8441 7684.0 7354.0 7594.0 7453.0 8423\n",
+ "36 7251 9113.0 8851.0 8955.0 8847.0 7389\n",
+ "37 9233 8946.0 8612.0 8845.0 8548.0 8704\n",
+ "38 8968 8868.0 8707.0 8949.0 8382.0 8542\n",
+ "39 9017 8906.0 8590.0 9096.0 8402.0 8865\n",
+ "40 9274 9202.0 8908.0 9147.0 8729.0 8858\n",
+ "41 9316 9383.0 9043.0 9300.0 9132.0 9124\n",
+ "42 9846 9534.0 9224.0 9381.0 9144.0 8899\n",
+ "43 10078 9351.0 8970.0 9131.0 9100.0 9104\n",
+ "44 10175 9522.0 8925.0 9389.0 9508.0 9025\n",
+ "45 10980 10044.0 9509.0 9748.0 9844.0 9388\n",
+ "46 11512 9976.0 9537.0 9609.0 10013.0 9325\n",
+ "47 11687 10183.0 9300.0 9982.0 9942.0 9219\n",
+ "48 11659 10269.0 9360.0 9902.0 9796.0 9233\n",
+ "49 11467 10079.0 9613.0 10151.0 10530.0 9706\n",
+ "50 11478 10489.0 9842.0 10509.0 9870.0 9581\n",
+ "51 12129 11159.0 10392.0 11755.0 10802.0 10043\n",
+ "52 10695 7037.0 6670.0 7946.0 7445.0 8095\n",
+ "53 9342 NaN NaN NaN NaN 7008"
+ ]
+ },
+ "execution_count": 34,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "deaths_headlines_e = deaths_headlines_e.merge(dh19e['total_2019'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_e = deaths_headlines_e.merge(dh18e['total_2018'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_e = deaths_headlines_e.merge(dh17e['total_2017'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_e = deaths_headlines_e.merge(dh16e['total_2016'], how='outer', left_index=True, right_index=True)\n",
+ "# deaths_headlines = deaths_headlines.merge(dh15['total_2015'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_e = deaths_headlines_e.merge(dh15e['total_2015'], how='left', left_index=True, right_index=True)\n",
+ "deaths_headlines_e"
]
},
{
"cell_type": "code",
- "execution_count": 108,
- "metadata": {},
+ "execution_count": 35,
+ "metadata": {
+ "Collapsed": "false",
+ "scrolled": true
+ },
"outputs": [
{
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"\n",
""
],
"text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 11467 10237 11940 11247 12236 11561\n",
- "2 13119 11800 14146 12890 10790 15206\n",
- "3 12223 11177 13371 12775 10753 13930\n",
- "4 11133 11006 13085 11996 10600 13106\n",
- "5 10885 10552 12470 11736 10362 12099\n",
- "6 10296 10959 11694 11546 10470 11319\n",
- "7 10216 11076 11443 10954 9933 11112\n",
- "8 10162 10600 11353 11093 10360 10695\n",
- "9 10165 10360 10220 10533 10564 10736\n",
- "10 10243 10276 12101 10443 10276 10757\n",
- "11 10344 9901 11870 10044 10284 10290\n",
- "12 9926 9774 11139 9690 8967 9888\n",
- "13 10422 9213 9308 9369 9574 9827\n",
- "14 15467 9484 10064 9297 10857 8482\n",
- "15 17588 9654 11558 7916 10679 9429\n",
- "16 21182 8445 10535 8990 10211 10968\n",
- "17 20873 9381 9692 10181 9784 9937\n",
- "18 17024 10519 9520 8464 8568 9506\n",
- "19 11965 8455 8094 10006 9985 8273\n",
- "20 13801 9614 9474 9673 9342 9668\n",
- "21 11596 9657 9033 9438 9115 9391\n",
- "22 9237 7742 7609 7746 7409 7625\n",
- "23 10009 9514 9343 9182 9289 9509\n",
- "24 9402 8847 8782 8768 8808 8942\n",
- "25 8722 8916 8694 9019 8807 8717\n",
- "26 8427 8947 8613 8788 8679 8593\n",
- "27 8556 8528 8633 8707 8614 8670\n",
- "28 8118 8591 8710 8812 8789 8461\n",
- "29 8273 8527 8579 8562 8790 8228\n",
- "30 8326 8569 8581 8296 8725 8262\n",
- "31 8415 8701 8587 8351 8602 8071\n",
- "32 NaN 8580 8782 8466 8531 8298\n",
- "33 NaN 8504 8312 8707 8496 8600\n",
- "34 NaN 8441 8413 8812 8700 8564\n",
- "35 NaN 7684 7354 7594 7453 8423\n",
- "36 NaN 9113 8851 8955 8847 7389\n",
- "37 NaN 8946 8612 8845 8548 8704\n",
- "38 NaN 8868 8707 8949 8382 8542\n",
- "39 NaN 8906 8590 9096 8402 8865\n",
- "40 NaN 9202 8908 9147 8729 8858\n",
- "41 NaN 9383 9043 9300 9132 9124\n",
- "42 NaN 9534 9224 9381 9144 8899\n",
- "43 NaN 9351 8970 9131 9100 9104\n",
- "44 NaN 9522 8925 9389 9508 9025\n",
- "45 NaN 10044 9509 9748 9844 9388\n",
- "46 NaN 9976 9537 9609 10013 9325\n",
- "47 NaN 10183 9300 9982 9942 9219\n",
- "48 NaN 10269 9360 9902 9796 9233\n",
- "49 NaN 10079 9613 10151 10530 9706\n",
- "50 NaN 10489 9842 10509 9870 9581\n",
- "51 NaN 11159 10392 11755 10802 10043\n",
- "52 NaN 7037 6670 7946 7445 8095"
+ " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
+ "1 1161 1104.0 1531.0 1205.0 1394.0 1146\n",
+ "2 1567 1507.0 1899.0 1379.0 1305.0 1708\n",
+ "3 1322 1353.0 1629.0 1224.0 1215.0 1489\n",
+ "4 1226 1208.0 1610.0 1197.0 1187.0 1381\n",
+ "5 1188 1206.0 1369.0 1332.0 1205.0 1286\n",
+ "6 1216 1243.0 1265.0 1200.0 1217.0 1344\n",
+ "7 1162 1181.0 1315.0 1231.0 1209.0 1360\n",
+ "8 1162 1245.0 1245.0 1185.0 1239.0 1320\n",
+ "9 1171 1125.0 1022.0 1219.0 1150.0 1308\n",
+ "10 1208 1156.0 1475.0 1146.0 1174.0 1192\n",
+ "11 1156 1108.0 1220.0 1141.0 1175.0 1201\n",
+ "12 1196 1101.0 1158.0 1152.0 1042.0 1149\n",
+ "13 1079 1086.0 1050.0 1112.0 1172.0 1171\n",
+ "14 1744 1032.0 1192.0 1060.0 1166.0 1042\n",
+ "15 1978 1069.0 1192.0 998.0 1048.0 1192\n",
+ "16 1916 902.0 1136.0 1111.0 1092.0 1095\n",
+ "17 1836 1121.0 1008.0 1121.0 1076.0 1108\n",
+ "18 1679 1131.0 1093.0 1050.0 1006.0 1117\n",
+ "19 1435 1018.0 967.0 1119.0 1047.0 1020\n",
+ "20 1421 1115.0 977.0 1115.0 1010.0 1103\n",
+ "21 1226 1061.0 1070.0 1063.0 994.0 1039\n",
+ "22 1125 1029.0 998.0 1015.0 999.0 1043\n",
+ "23 1093 1042.0 1033.0 1076.0 1023.0 1106\n",
+ "24 1034 1028.0 915.0 1031.0 988.0 1038\n",
+ "25 1065 1053.0 993.0 1032.0 994.0 1025\n",
+ "26 1008 1051.0 1046.0 994.0 1007.0 1032\n",
+ "27 983 981.0 1041.0 1040.0 988.0 1040\n",
+ "28 976 1077.0 1002.0 1014.0 1022.0 1011\n",
+ "29 1033 964.0 928.0 1025.0 1041.0 1023\n",
+ "30 961 1041.0 933.0 978.0 979.0 956\n",
+ "31 1043 1020.0 969.0 1011.0 987.0 985\n",
+ "32 1011 1018.0 953.0 1002.0 997.0 1043\n",
+ "33 922 1028.0 978.0 1004.0 982.0 969\n",
+ "34 1046 1011.0 941.0 1045.0 1017.0 982\n",
+ "35 1029 1013.0 930.0 980.0 1039.0 954\n",
+ "36 1050 980.0 970.0 1006.0 1007.0 977\n",
+ "37 1069 1074.0 1020.0 972.0 983.0 991\n",
+ "38 952 1071.0 946.0 1049.0 966.0 1001\n",
+ "39 933 1142.0 1015.0 1056.0 1009.0 1010\n",
+ "40 1195 1051.0 1042.0 1016.0 1072.0 1008\n",
+ "41 1071 1143.0 1081.0 1133.0 1009.0 1028\n",
+ "42 1131 1153.0 1031.0 1067.0 1070.0 989\n",
+ "43 1187 1115.0 1019.0 1095.0 1052.0 981\n",
+ "44 1262 1101.0 1085.0 1062.0 1032.0 1116\n",
+ "45 1250 1184.0 1144.0 1126.0 1043.0 1028\n",
+ "46 1138 1160.0 1084.0 1175.0 1174.0 1103\n",
+ "47 1360 1229.0 1058.0 1178.0 1132.0 1054\n",
+ "48 1328 1163.0 1062.0 1153.0 1159.0 1115\n",
+ "49 1296 1108.0 1076.0 1237.0 1188.0 1089\n",
+ "50 1284 1312.0 1212.0 1335.0 1219.0 1101\n",
+ "51 1297 1277.0 1216.0 1437.0 1284.0 1146\n",
+ "52 1205 1000.0 1058.0 1168.0 1133.0 944"
]
},
- "execution_count": 108,
+ "execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "deaths_headlines_e = deaths_headlines_e.merge(dh19e['total_2019'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh18e['total_2018'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh17e['total_2017'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh16e['total_2016'], how='outer', left_index=True, right_index=True)\n",
- "# deaths_headlines = deaths_headlines.merge(dh15['total_2015'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh15e['total_2015'], how='left', left_index=True, right_index=True)\n",
- "deaths_headlines_e"
+ "deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]\n",
+ "deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]\n",
+ "deaths_headlines_s.reset_index(drop=True, inplace=True)\n",
+ "deaths_headlines_s.index = deaths_headlines_s.index + 1\n",
+ "deaths_headlines_s = deaths_headlines_s.loc[1:52]\n",
+ "deaths_headlines_s"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "source": [
+ "# Correction for missing data"
]
},
{
"cell_type": "code",
- "execution_count": 109,
+ "execution_count": 36,
"metadata": {
- "scrolled": true
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "# deaths_headlines_s.loc[20, 'total_2020'] = 1000\n",
+ "# deaths_headlines_s"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "metadata": {
+ "Collapsed": "false"
},
"outputs": [
{
@@ -3914,568 +5286,564 @@
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\n",
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\n",
" \n",
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\n",
" \n",
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+ " 580 | \n",
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\n",
" \n",
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+ " 577.0 | \n",
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+ " 660 | \n",
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\n",
" \n",
- " 16 | \n",
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+ " 671 | \n",
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\n",
" \n",
- " 17 | \n",
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+ " 662 | \n",
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\n",
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\n",
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\n",
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+ " 614 | \n",
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\n",
" \n",
- " 22 | \n",
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\n",
" \n",
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\n",
" \n",
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\n",
" \n",
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\n",
" \n",
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+ " 597 | \n",
"
\n",
" \n",
- " 27 | \n",
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\n",
" \n",
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\n",
" \n",
- " 48 | \n",
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\n",
" \n",
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\n",
" \n",
- " 50 | \n",
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\n",
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- " 51 | \n",
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+ " 646 | \n",
+ "
\n",
+ " \n",
+ " 52 | \n",
+ " 825 | \n",
+ " 496.0 | \n",
+ " 461.0 | \n",
+ " 541.0 | \n",
+ " 558.0 | \n",
+ " 535 | \n",
"
\n",
" \n",
- " 52 | \n",
+ " 53 | \n",
+ " 727 | \n",
" NaN | \n",
- " 1000.0 | \n",
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- " 1168.0 | \n",
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- " 944 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " 516 | \n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 1161.0 1104.0 1531.0 1205.0 1394.0 1146\n",
- "2 1567.0 1507.0 1899.0 1379.0 1305.0 1708\n",
- "3 1322.0 1353.0 1629.0 1224.0 1215.0 1489\n",
- "4 1226.0 1208.0 1610.0 1197.0 1187.0 1381\n",
- "5 1188.0 1206.0 1369.0 1332.0 1205.0 1286\n",
- "6 1216.0 1243.0 1265.0 1200.0 1217.0 1344\n",
- "7 1162.0 1181.0 1315.0 1231.0 1209.0 1360\n",
- "8 1162.0 1245.0 1245.0 1185.0 1239.0 1320\n",
- "9 1171.0 1125.0 1022.0 1219.0 1150.0 1308\n",
- "10 1208.0 1156.0 1475.0 1146.0 1174.0 1192\n",
- "11 1156.0 1108.0 1220.0 1141.0 1175.0 1201\n",
- "12 1196.0 1101.0 1158.0 1152.0 1042.0 1149\n",
- "13 1079.0 1086.0 1050.0 1112.0 1172.0 1171\n",
- "14 1744.0 1032.0 1192.0 1060.0 1166.0 1042\n",
- "15 1978.0 1069.0 1192.0 998.0 1048.0 1192\n",
- "16 1916.0 902.0 1136.0 1111.0 1092.0 1095\n",
- "17 1836.0 1121.0 1008.0 1121.0 1076.0 1108\n",
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- "38 NaN 1071.0 946.0 1049.0 966.0 1001\n",
- "39 NaN 1142.0 1015.0 1056.0 1009.0 1010\n",
- "40 NaN 1051.0 1042.0 1016.0 1072.0 1008\n",
- "41 NaN 1143.0 1081.0 1133.0 1009.0 1028\n",
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- "51 NaN 1277.0 1216.0 1437.0 1284.0 1146\n",
- "52 NaN 1000.0 1058.0 1168.0 1133.0 944"
+ " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
+ "1 787 718.0 783.0 744.0 809.0 725\n",
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+ "11 675 666.0 918.0 653.0 738.0 661\n",
+ "12 719 628.0 774.0 635.0 668.0 680\n",
+ "13 719 654.0 633.0 658.0 712.0 666\n",
+ "14 920 642.0 730.0 642.0 742.0 580\n",
+ "15 928 637.0 743.0 577.0 738.0 660\n",
+ "16 1169 580.0 688.0 654.0 714.0 671\n",
+ "17 1124 678.0 614.0 727.0 629.0 662\n",
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+ "36 488 582.0 594.0 542.0 552.0 489\n",
+ "37 578 567.0 579.0 609.0 576.0 554\n",
+ "38 555 572.0 598.0 585.0 563.0 555\n",
+ "39 617 611.0 560.0 593.0 592.0 664\n",
+ "40 671 597.0 595.0 631.0 562.0 552\n",
+ "41 638 590.0 606.0 640.0 587.0 652\n",
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+ "44 712 642.0 604.0 595.0 644.0 593\n",
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+ "46 742 674.0 656.0 666.0 681.0 613\n",
+ "47 848 699.0 657.0 639.0 661.0 611\n",
+ "48 797 689.0 673.0 636.0 643.0 589\n",
+ "49 836 737.0 674.0 630.0 693.0 659\n",
+ "50 814 699.0 708.0 708.0 663.0 688\n",
+ "51 882 767.0 724.0 762.0 691.0 646\n",
+ "52 825 496.0 461.0 541.0 558.0 535\n",
+ "53 727 NaN NaN NaN NaN 516"
]
},
- "execution_count": 109,
+ "execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]\n",
- "deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]\n",
- "deaths_headlines_s.reset_index(drop=True, inplace=True)\n",
- "deaths_headlines_s.index = deaths_headlines_s.index + 1\n",
- "deaths_headlines_s = deaths_headlines_s.loc[1:52]\n",
- "deaths_headlines_s"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Correction for missing data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 110,
- "metadata": {},
- "outputs": [],
- "source": [
- "# deaths_headlines_s.loc[20, 'total_2020'] = 1000\n",
- "# deaths_headlines_s"
+ "deaths_headlines_w = deaths_headlines_w.merge(dh19w['total_2019'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_w = deaths_headlines_w.merge(dh18w['total_2018'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_w = deaths_headlines_w.merge(dh17w['total_2017'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_w = deaths_headlines_w.merge(dh16w['total_2016'], how='outer', left_index=True, right_index=True)\n",
+ "# deaths_headlines = deaths_headlines.merge(dh15['total_2015'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_w = deaths_headlines_w.merge(dh15w['total_2015'], how='left', left_index=True, right_index=True)\n",
+ "deaths_headlines_w"
]
},
{
"cell_type": "code",
- "execution_count": 111,
- "metadata": {},
+ "execution_count": 38,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [
{
"data": {
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""
],
"text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 787 718 783 744 809 725\n",
- "2 939 809 904 825 711 1031\n",
- "3 767 683 885 835 720 936\n",
- "4 723 734 850 881 717 828\n",
- "5 727 745 815 749 690 801\n",
- "6 690 701 801 723 700 720\n",
- "7 728 748 803 690 657 710\n",
- "8 679 695 789 701 696 739\n",
- "9 651 684 634 715 721 736\n",
- "10 652 622 896 634 734 712\n",
- "11 675 666 918 653 738 661\n",
- "12 719 628 774 635 668 680\n",
- "13 719 654 633 658 712 666\n",
- "14 920 642 730 642 742 580\n",
- "15 928 637 743 577 738 660\n",
- "16 1169 580 688 654 714 671\n",
- "17 1124 678 614 727 629 662\n",
- "18 929 688 633 600 569 628\n",
- "19 692 600 530 687 652 589\n",
- "20 772 658 667 615 611 622\n",
- "21 692 627 603 602 624 614\n",
- "22 587 518 538 586 500 588\n",
- "23 700 626 607 584 584 648\n",
- "24 574 598 561 599 578 606\n",
- "25 617 542 562 608 558 595\n",
- "26 552 564 599 546 549 597\n",
- "27 584 534 625 556 524 535\n",
- "28 572 588 583 564 599 554\n",
- "29 550 553 548 551 560 574\n",
- "30 565 543 560 586 610 529\n",
- "31 531 570 574 590 580 546\n",
- "32 NaN 542 537 572 641 564\n",
- "33 NaN 589 518 592 574 548\n",
- "34 NaN 553 565 570 619 557\n",
- "35 NaN 558 511 555 470 603\n",
- "36 NaN 582 594 542 552 489\n",
- "37 NaN 567 579 609 576 554\n",
- "38 NaN 572 598 585 563 555\n",
- "39 NaN 611 560 593 592 664\n",
- "40 NaN 597 595 631 562 552\n",
- "41 NaN 590 606 640 587 652\n",
- "42 NaN 622 640 650 624 612\n",
- "43 NaN 670 633 608 624 607\n",
- "44 NaN 642 604 595 644 593\n",
- "45 NaN 653 642 598 626 606\n",
- "46 NaN 674 656 666 681 613\n",
- "47 NaN 699 657 639 661 611\n",
- "48 NaN 689 673 636 643 589\n",
- "49 NaN 737 674 630 693 659\n",
- "50 NaN 699 708 708 663 688\n",
- "51 NaN 767 724 762 691 646\n",
- "52 NaN 496 461 541 558 535"
+ " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
+ "1 353 365.0 447.0 416.0 424.0 319\n",
+ "2 395 371.0 481.0 434.0 348.0 373\n",
+ "3 411 332.0 470.0 397.0 372.0 383\n",
+ "4 347 335.0 426.0 387.0 355.0 397\n",
+ "5 323 296.0 433.0 371.0 314.0 374\n",
+ "6 332 319.0 351.0 336.0 310.0 347\n",
+ "7 306 342.0 364.0 337.0 217.0 328\n",
+ "8 297 337.0 366.0 351.0 423.0 317\n",
+ "9 347 310.0 314.0 352.0 298.0 401\n",
+ "10 312 342.0 387.0 357.0 309.0 346\n",
+ "11 324 343.0 359.0 251.0 292.0 323\n",
+ "12 271 294.0 326.0 356.0 306.0 310\n",
+ "13 287 307.0 319.0 314.0 280.0 323\n",
+ "14 434 287.0 286.0 306.0 295.0 221\n",
+ "15 435 301.0 350.0 270.0 292.0 294\n",
+ "16 424 316.0 280.0 245.0 293.0 327\n",
+ "17 470 272.0 282.0 327.0 306.0 316\n",
+ "18 427 357.0 292.0 258.0 258.0 335\n",
+ "19 336 288.0 230.0 302.0 318.0 256\n",
+ "20 396 330.0 268.0 315.0 259.0 299\n",
+ "21 325 308.0 268.0 328.0 280.0 290\n",
+ "22 316 245.0 252.0 256.0 284.0 258\n",
+ "23 304 279.0 276.0 292.0 275.0 340\n",
+ "24 292 281.0 277.0 300.0 299.0 272\n",
+ "25 290 296.0 265.0 271.0 252.0 292\n",
+ "26 295 262.0 271.0 296.0 291.0 303\n",
+ "27 289 285.0 266.0 262.0 286.0 300\n",
+ "28 275 256.0 172.0 253.0 237.0 252\n",
+ "29 240 280.0 298.0 288.0 281.0 203\n",
+ "30 307 269.0 282.0 287.0 298.0 274\n",
+ "31 273 273.0 278.0 287.0 264.0 291\n",
+ "32 280 266.0 270.0 238.0 270.0 248\n",
+ "33 278 284.0 283.0 266.0 260.0 235\n",
+ "34 313 274.0 280.0 271.0 301.0 251\n",
+ "35 303 223.0 251.0 243.0 264.0 259\n",
+ "36 234 243.0 265.0 278.0 275.0 237\n",
+ "37 296 305.0 285.0 266.0 294.0 324\n",
+ "38 322 281.0 247.0 292.0 272.0 283\n",
+ "39 323 295.0 298.0 282.0 275.0 287\n",
+ "40 328 263.0 324.0 307.0 308.0 282\n",
+ "41 348 287.0 318.0 284.0 288.0 304\n",
+ "42 278 316.0 282.0 291.0 296.0 299\n",
+ "43 391 279.0 263.0 318.0 272.0 274\n",
+ "44 368 302.0 252.0 320.0 279.0 292\n",
+ "45 386 296.0 293.0 295.0 290.0 290\n",
+ "46 406 336.0 275.0 323.0 341.0 297\n",
+ "47 396 361.0 274.0 303.0 329.0 294\n",
+ "48 348 334.0 297.0 355.0 303.0 279\n",
+ "49 387 351.0 324.0 324.0 322.0 294\n",
+ "50 366 353.0 316.0 372.0 324.0 343\n",
+ "51 350 363.0 317.0 354.0 360.0 301\n",
+ "52 310 194.0 195.0 249.0 199.0 232\n",
+ "53 333 NaN NaN NaN NaN 232"
]
},
- "execution_count": 111,
+ "execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "deaths_headlines_w = deaths_headlines_w.merge(dh19w['total_2019'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh18w['total_2018'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh17w['total_2017'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh16w['total_2016'], how='outer', left_index=True, right_index=True)\n",
- "# deaths_headlines = deaths_headlines.merge(dh15['total_2015'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh15w['total_2015'], how='left', left_index=True, right_index=True)\n",
- "deaths_headlines_w"
+ "deaths_headlines_i = deaths_headlines_i.merge(dh19i['total_2019'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_i = deaths_headlines_i.merge(dh18i['total_2018'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_i = deaths_headlines_i.merge(dh17i['total_2017'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_i = deaths_headlines_i.merge(dh16i['total_2016'], how='outer', left_index=True, right_index=True)\n",
+ "deaths_headlines_i = deaths_headlines_i.merge(dh15i['total_2015'], how='left', left_index=True, right_index=True)\n",
+ "deaths_headlines_i"
]
},
{
"cell_type": "code",
- "execution_count": 112,
- "metadata": {},
+ "execution_count": 39,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [
{
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- " 327 | \n",
- " 306 | \n",
- " 316 | \n",
+ " 16 | \n",
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+ " 902.0 | \n",
+ " 1136.0 | \n",
+ " 1111.0 | \n",
+ " 1092.0 | \n",
+ " 1095 | \n",
"
\n",
" \n",
- " 18 | \n",
- " 427.0 | \n",
- " 357 | \n",
- " 292 | \n",
- " 258 | \n",
- " 258 | \n",
- " 335 | \n",
+ " 17 | \n",
+ " 1836 | \n",
+ " 1121.0 | \n",
+ " 1008.0 | \n",
+ " 1121.0 | \n",
+ " 1076.0 | \n",
+ " 1108 | \n",
"
\n",
" \n",
- " 19 | \n",
- " 336.0 | \n",
- " 288 | \n",
- " 230 | \n",
- " 302 | \n",
- " 318 | \n",
- " 256 | \n",
+ " 18 | \n",
+ " 1679 | \n",
+ " 1131.0 | \n",
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+ " 1050.0 | \n",
+ " 1006.0 | \n",
+ " 1117 | \n",
"
\n",
" \n",
- " 20 | \n",
- " 396.0 | \n",
- " 330 | \n",
- " 268 | \n",
- " 315 | \n",
- " 259 | \n",
- " 299 | \n",
+ " 19 | \n",
+ " 1435 | \n",
+ " 1018.0 | \n",
+ " 967.0 | \n",
+ " 1119.0 | \n",
+ " 1047.0 | \n",
+ " 1020 | \n",
"
\n",
" \n",
- " 21 | \n",
- " 325.0 | \n",
- " 308 | \n",
- " 268 | \n",
- " 328 | \n",
- " 280 | \n",
- " 290 | \n",
+ " 20 | \n",
+ " 1421 | \n",
+ " 1115.0 | \n",
+ " 977.0 | \n",
+ " 1115.0 | \n",
+ " 1010.0 | \n",
+ " 1103 | \n",
"
\n",
" \n",
- " 22 | \n",
- " 316.0 | \n",
- " 245 | \n",
- " 252 | \n",
- " 256 | \n",
- " 284 | \n",
- " 258 | \n",
+ " 21 | \n",
+ " 1226 | \n",
+ " 1061.0 | \n",
+ " 1070.0 | \n",
+ " 1063.0 | \n",
+ " 994.0 | \n",
+ " 1039 | \n",
"
\n",
" \n",
- " 23 | \n",
- " 304.0 | \n",
- " 279 | \n",
- " 276 | \n",
- " 292 | \n",
- " 275 | \n",
- " 340 | \n",
+ " 22 | \n",
+ " 1125 | \n",
+ " 1029.0 | \n",
+ " 998.0 | \n",
+ " 1015.0 | \n",
+ " 999.0 | \n",
+ " 1043 | \n",
"
\n",
" \n",
- " 24 | \n",
- " 292.0 | \n",
- " 281 | \n",
- " 277 | \n",
- " 300 | \n",
- " 299 | \n",
- " 272 | \n",
+ " 23 | \n",
+ " 1093 | \n",
+ " 1042.0 | \n",
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+ " 1076.0 | \n",
+ " 1023.0 | \n",
+ " 1106 | \n",
"
\n",
" \n",
- " 25 | \n",
- " 290.0 | \n",
- " 296 | \n",
- " 265 | \n",
- " 271 | \n",
- " 252 | \n",
- " 292 | \n",
+ " 24 | \n",
+ " 1034 | \n",
+ " 1028.0 | \n",
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+ " 988.0 | \n",
+ " 1038 | \n",
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\n",
" \n",
- " 26 | \n",
- " 295.0 | \n",
- " 262 | \n",
- " 271 | \n",
- " 296 | \n",
- " 291 | \n",
- " 303 | \n",
+ " 25 | \n",
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\n",
" \n",
- " 27 | \n",
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\n",
" \n",
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\n",
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+ " 1146 | \n",
+ "
\n",
+ " \n",
+ " 52 | \n",
+ " 1205 | \n",
+ " 1000.0 | \n",
+ " 1058.0 | \n",
+ " 1168.0 | \n",
+ " 1133.0 | \n",
+ " 944 | \n",
"
\n",
" \n",
"\n",
@@ -5559,78 +6938,75 @@
],
"text/plain": [
" total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 353.0 365 447 416 424 319\n",
- "2 395.0 371 481 434 348 373\n",
- "3 411.0 332 470 397 372 383\n",
- "4 347.0 335 426 387 355 397\n",
- "5 323.0 296 433 371 314 374\n",
- "6 332.0 319 351 336 310 347\n",
- "7 306.0 342 364 337 217 328\n",
- "8 297.0 337 366 351 423 317\n",
- "9 347.0 310 314 352 298 401\n",
- "10 312.0 342 387 357 309 346\n",
- "11 324.0 343 359 251 292 323\n",
- "12 271.0 294 326 356 306 310\n",
- "13 287.0 307 319 314 280 323\n",
- "14 434.0 287 286 306 295 221\n",
- "15 435.0 301 350 270 292 294\n",
- "16 424.0 316 280 245 293 327\n",
- "17 470.0 272 282 327 306 316\n",
- "18 427.0 357 292 258 258 335\n",
- "19 336.0 288 230 302 318 256\n",
- "20 396.0 330 268 315 259 299\n",
- "21 325.0 308 268 328 280 290\n",
- "22 316.0 245 252 256 284 258\n",
- "23 304.0 279 276 292 275 340\n",
- "24 292.0 281 277 300 299 272\n",
- "25 290.0 296 265 271 252 292\n",
- "26 295.0 262 271 296 291 303\n",
- "27 289.0 285 266 262 286 300\n",
- "28 275.0 256 172 253 237 252\n",
- "29 240.0 280 298 288 281 203\n",
- "30 307.0 269 282 287 298 274\n",
- "31 273.0 273 278 287 264 291\n",
- "32 NaN 266 270 238 270 248\n",
- "33 NaN 284 283 266 260 235\n",
- "34 NaN 274 280 271 301 251\n",
- "35 NaN 223 251 243 264 259\n",
- "36 NaN 243 265 278 275 237\n",
- "37 NaN 305 285 266 294 324\n",
- "38 NaN 281 247 292 272 283\n",
- "39 NaN 295 298 282 275 287\n",
- "40 NaN 263 324 307 308 282\n",
- "41 NaN 287 318 284 288 304\n",
- "42 NaN 316 282 291 296 299\n",
- "43 NaN 279 263 318 272 274\n",
- "44 NaN 302 252 320 279 292\n",
- "45 NaN 296 293 295 290 290\n",
- "46 NaN 336 275 323 341 297\n",
- "47 NaN 361 274 303 329 294\n",
- "48 NaN 334 297 355 303 279\n",
- "49 NaN 351 324 324 322 294\n",
- "50 NaN 353 316 372 324 343\n",
- "51 NaN 363 317 354 360 301\n",
- "52 NaN 194 195 249 199 232"
+ "1 1161 1104.0 1531.0 1205.0 1394.0 1146\n",
+ "2 1567 1507.0 1899.0 1379.0 1305.0 1708\n",
+ "3 1322 1353.0 1629.0 1224.0 1215.0 1489\n",
+ "4 1226 1208.0 1610.0 1197.0 1187.0 1381\n",
+ "5 1188 1206.0 1369.0 1332.0 1205.0 1286\n",
+ "6 1216 1243.0 1265.0 1200.0 1217.0 1344\n",
+ "7 1162 1181.0 1315.0 1231.0 1209.0 1360\n",
+ "8 1162 1245.0 1245.0 1185.0 1239.0 1320\n",
+ "9 1171 1125.0 1022.0 1219.0 1150.0 1308\n",
+ "10 1208 1156.0 1475.0 1146.0 1174.0 1192\n",
+ "11 1156 1108.0 1220.0 1141.0 1175.0 1201\n",
+ "12 1196 1101.0 1158.0 1152.0 1042.0 1149\n",
+ "13 1079 1086.0 1050.0 1112.0 1172.0 1171\n",
+ "14 1744 1032.0 1192.0 1060.0 1166.0 1042\n",
+ "15 1978 1069.0 1192.0 998.0 1048.0 1192\n",
+ "16 1916 902.0 1136.0 1111.0 1092.0 1095\n",
+ "17 1836 1121.0 1008.0 1121.0 1076.0 1108\n",
+ "18 1679 1131.0 1093.0 1050.0 1006.0 1117\n",
+ "19 1435 1018.0 967.0 1119.0 1047.0 1020\n",
+ "20 1421 1115.0 977.0 1115.0 1010.0 1103\n",
+ "21 1226 1061.0 1070.0 1063.0 994.0 1039\n",
+ "22 1125 1029.0 998.0 1015.0 999.0 1043\n",
+ "23 1093 1042.0 1033.0 1076.0 1023.0 1106\n",
+ "24 1034 1028.0 915.0 1031.0 988.0 1038\n",
+ "25 1065 1053.0 993.0 1032.0 994.0 1025\n",
+ "26 1008 1051.0 1046.0 994.0 1007.0 1032\n",
+ "27 983 981.0 1041.0 1040.0 988.0 1040\n",
+ "28 976 1077.0 1002.0 1014.0 1022.0 1011\n",
+ "29 1033 964.0 928.0 1025.0 1041.0 1023\n",
+ "30 961 1041.0 933.0 978.0 979.0 956\n",
+ "31 1043 1020.0 969.0 1011.0 987.0 985\n",
+ "32 1011 1018.0 953.0 1002.0 997.0 1043\n",
+ "33 922 1028.0 978.0 1004.0 982.0 969\n",
+ "34 1046 1011.0 941.0 1045.0 1017.0 982\n",
+ "35 1029 1013.0 930.0 980.0 1039.0 954\n",
+ "36 1050 980.0 970.0 1006.0 1007.0 977\n",
+ "37 1069 1074.0 1020.0 972.0 983.0 991\n",
+ "38 952 1071.0 946.0 1049.0 966.0 1001\n",
+ "39 933 1142.0 1015.0 1056.0 1009.0 1010\n",
+ "40 1195 1051.0 1042.0 1016.0 1072.0 1008\n",
+ "41 1071 1143.0 1081.0 1133.0 1009.0 1028\n",
+ "42 1131 1153.0 1031.0 1067.0 1070.0 989\n",
+ "43 1187 1115.0 1019.0 1095.0 1052.0 981\n",
+ "44 1262 1101.0 1085.0 1062.0 1032.0 1116\n",
+ "45 1250 1184.0 1144.0 1126.0 1043.0 1028\n",
+ "46 1138 1160.0 1084.0 1175.0 1174.0 1103\n",
+ "47 1360 1229.0 1058.0 1178.0 1132.0 1054\n",
+ "48 1328 1163.0 1062.0 1153.0 1159.0 1115\n",
+ "49 1296 1108.0 1076.0 1237.0 1188.0 1089\n",
+ "50 1284 1312.0 1212.0 1335.0 1219.0 1101\n",
+ "51 1297 1277.0 1216.0 1437.0 1284.0 1146\n",
+ "52 1205 1000.0 1058.0 1168.0 1133.0 944"
]
},
- "execution_count": 112,
+ "execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "deaths_headlines_i = deaths_headlines_i.merge(dh19i['total_2019'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh18i['total_2018'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh17i['total_2017'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh16i['total_2016'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh15i['total_2015'], how='left', left_index=True, right_index=True)\n",
- "deaths_headlines_i"
+ "deaths_headlines_s"
]
},
{
"cell_type": "code",
- "execution_count": 113,
- "metadata": {},
+ "execution_count": 40,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [
{
"data": {
@@ -5663,472 +7039,481 @@
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- " 49 | \n",
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\n",
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+ " 53 | \n",
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+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
"
\n",
" \n",
"\n",
@@ -6136,61 +7521,62 @@
],
"text/plain": [
" total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 13768 12424.0 14701.0 13612.0 14863.0 13751\n",
- "2 16020 14487.0 17430.0 15528.0 13154.0 18318\n",
- "3 14723 13545.0 16355.0 15231.0 13060.0 16738\n",
- "4 13429 13283.0 15971.0 14461.0 12859.0 15712\n",
- "5 13123 12799.0 15087.0 14188.0 12571.0 14560\n",
- "6 12534 13222.0 14111.0 13805.0 12697.0 13730\n",
- "7 12412 13347.0 13925.0 13212.0 12016.0 13510\n",
- "8 12300 12877.0 13753.0 13330.0 12718.0 13071\n",
- "9 12334 12479.0 12190.0 12819.0 12733.0 13181\n",
- "10 12415 12396.0 14859.0 12580.0 12493.0 13007\n",
- "11 12499 12018.0 14367.0 12089.0 12489.0 12475\n",
- "12 12112 11797.0 13397.0 11833.0 10983.0 12027\n",
- "13 12507 11260.0 11310.0 11453.0 11738.0 11987\n",
- "14 18565 11445.0 12272.0 11305.0 13060.0 10325\n",
- "15 20929 11661.0 13843.0 9761.0 12757.0 11575\n",
- "16 24691 10243.0 12639.0 11000.0 12310.0 13061\n",
- "17 24303 11452.0 11596.0 12356.0 11795.0 12023\n",
- "18 20059 12695.0 11538.0 10372.0 10401.0 11586\n",
- "19 14428 10361.0 9821.0 12114.0 12002.0 10138\n",
- "20 16390 11717.0 11386.0 11718.0 11222.0 11692\n",
- "21 13839 11653.0 10974.0 11431.0 11013.0 11334\n",
- "22 11265 9534.0 9397.0 9603.0 9192.0 9514\n",
- "23 12106 11461.0 11259.0 11134.0 11171.0 11603\n",
- "24 11302 10754.0 10535.0 10698.0 10673.0 10858\n",
- "25 10694 10807.0 10514.0 10930.0 10611.0 10629\n",
- "26 10282 10824.0 10529.0 10624.0 10526.0 10525\n",
- "27 10412 10328.0 10565.0 10565.0 10412.0 10545\n",
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- "32 NaN 10406.0 10542.0 10278.0 10439.0 10153\n",
- "33 NaN 10405.0 10091.0 10569.0 10312.0 10352\n",
- "34 NaN 10279.0 10199.0 10698.0 10637.0 10354\n",
- "35 NaN 9478.0 9046.0 9372.0 9226.0 10239\n",
- "36 NaN 10918.0 10680.0 10781.0 10681.0 9092\n",
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- "38 NaN 10792.0 10498.0 10875.0 10183.0 10381\n",
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- "41 NaN 11403.0 11048.0 11357.0 11016.0 11108\n",
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- "43 NaN 11415.0 10885.0 11152.0 11048.0 10966\n",
- "44 NaN 11567.0 10866.0 11366.0 11463.0 11026\n",
- "45 NaN 12177.0 11588.0 11767.0 11803.0 11312\n",
- "46 NaN 12146.0 11552.0 11773.0 12209.0 11338\n",
- "47 NaN 12472.0 11289.0 12102.0 12064.0 11178\n",
- "48 NaN 12455.0 11392.0 12046.0 11901.0 11216\n",
- "49 NaN 12275.0 11687.0 12342.0 12733.0 11748\n",
- "50 NaN 12853.0 12078.0 12924.0 12076.0 11713\n",
- "51 NaN 13566.0 12649.0 14308.0 13137.0 12136\n",
- "52 NaN 8727.0 8384.0 9904.0 9335.0 9806"
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+ "52 13035.0 8727.0 8384.0 9904.0 9335.0 9806.0\n",
+ "53 NaN NaN NaN NaN NaN NaN"
]
},
- "execution_count": 113,
+ "execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
@@ -6202,8 +7588,10 @@
},
{
"cell_type": "code",
- "execution_count": 114,
- "metadata": {},
+ "execution_count": 41,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [
{
"data": {
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" 12733.0 | \n",
- " 11748 | \n",
+ " 11748.0 | \n",
" 12157.0 | \n",
"
\n",
" \n",
- " 50 | \n",
- " NaN | \n",
+ " 50 | \n",
+ " 13942.0 | \n",
" 12853.0 | \n",
" 12078.0 | \n",
" 12924.0 | \n",
" 12076.0 | \n",
- " 11713 | \n",
+ " 11713.0 | \n",
" 12328.8 | \n",
"
\n",
" \n",
- " 51 | \n",
- " NaN | \n",
+ " 51 | \n",
+ " 14658.0 | \n",
" 13566.0 | \n",
" 12649.0 | \n",
" 14308.0 | \n",
" 13137.0 | \n",
- " 12136 | \n",
+ " 12136.0 | \n",
" 13159.2 | \n",
"
\n",
" \n",
- " 52 | \n",
- " NaN | \n",
+ " 52 | \n",
+ " 13035.0 | \n",
" 8727.0 | \n",
" 8384.0 | \n",
" 9904.0 | \n",
" 9335.0 | \n",
- " 9806 | \n",
+ " 9806.0 | \n",
" 9231.2 | \n",
"
\n",
+ " \n",
+ " 53 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ "
\n",
" \n",
"\n",
""
],
"text/plain": [
" total_2020 total_2019 total_2018 total_2017 total_2016 total_2015 \\\n",
- "1 13768 12424.0 14701.0 13612.0 14863.0 13751 \n",
- "2 16020 14487.0 17430.0 15528.0 13154.0 18318 \n",
- "3 14723 13545.0 16355.0 15231.0 13060.0 16738 \n",
- "4 13429 13283.0 15971.0 14461.0 12859.0 15712 \n",
- "5 13123 12799.0 15087.0 14188.0 12571.0 14560 \n",
- "6 12534 13222.0 14111.0 13805.0 12697.0 13730 \n",
- "7 12412 13347.0 13925.0 13212.0 12016.0 13510 \n",
- "8 12300 12877.0 13753.0 13330.0 12718.0 13071 \n",
- "9 12334 12479.0 12190.0 12819.0 12733.0 13181 \n",
- "10 12415 12396.0 14859.0 12580.0 12493.0 13007 \n",
- "11 12499 12018.0 14367.0 12089.0 12489.0 12475 \n",
- "12 12112 11797.0 13397.0 11833.0 10983.0 12027 \n",
- "13 12507 11260.0 11310.0 11453.0 11738.0 11987 \n",
- "14 18565 11445.0 12272.0 11305.0 13060.0 10325 \n",
- "15 20929 11661.0 13843.0 9761.0 12757.0 11575 \n",
- "16 24691 10243.0 12639.0 11000.0 12310.0 13061 \n",
- "17 24303 11452.0 11596.0 12356.0 11795.0 12023 \n",
- "18 20059 12695.0 11538.0 10372.0 10401.0 11586 \n",
- "19 14428 10361.0 9821.0 12114.0 12002.0 10138 \n",
- "20 16390 11717.0 11386.0 11718.0 11222.0 11692 \n",
- "21 13839 11653.0 10974.0 11431.0 11013.0 11334 \n",
- "22 11265 9534.0 9397.0 9603.0 9192.0 9514 \n",
- "23 12106 11461.0 11259.0 11134.0 11171.0 11603 \n",
- "24 11302 10754.0 10535.0 10698.0 10673.0 10858 \n",
- "25 10694 10807.0 10514.0 10930.0 10611.0 10629 \n",
- "26 10282 10824.0 10529.0 10624.0 10526.0 10525 \n",
- "27 10412 10328.0 10565.0 10565.0 10412.0 10545 \n",
- "28 9941 10512.0 10467.0 10643.0 10647.0 10278 \n",
- "29 10096 10324.0 10353.0 10426.0 10672.0 10028 \n",
- "30 10159 10422.0 10356.0 10147.0 10612.0 10021 \n",
- "31 10262 10564.0 10408.0 10239.0 10433.0 9893 \n",
- "32 NaN 10406.0 10542.0 10278.0 10439.0 10153 \n",
- "33 NaN 10405.0 10091.0 10569.0 10312.0 10352 \n",
- "34 NaN 10279.0 10199.0 10698.0 10637.0 10354 \n",
- "35 NaN 9478.0 9046.0 9372.0 9226.0 10239 \n",
- "36 NaN 10918.0 10680.0 10781.0 10681.0 9092 \n",
- "37 NaN 10892.0 10496.0 10692.0 10401.0 10573 \n",
- "38 NaN 10792.0 10498.0 10875.0 10183.0 10381 \n",
- "39 NaN 10954.0 10463.0 11027.0 10278.0 10826 \n",
- "40 NaN 11113.0 10869.0 11101.0 10671.0 10700 \n",
- "41 NaN 11403.0 11048.0 11357.0 11016.0 11108 \n",
- "42 NaN 11625.0 11177.0 11389.0 11134.0 10799 \n",
- "43 NaN 11415.0 10885.0 11152.0 11048.0 10966 \n",
- "44 NaN 11567.0 10866.0 11366.0 11463.0 11026 \n",
- "45 NaN 12177.0 11588.0 11767.0 11803.0 11312 \n",
- "46 NaN 12146.0 11552.0 11773.0 12209.0 11338 \n",
- "47 NaN 12472.0 11289.0 12102.0 12064.0 11178 \n",
- "48 NaN 12455.0 11392.0 12046.0 11901.0 11216 \n",
- "49 NaN 12275.0 11687.0 12342.0 12733.0 11748 \n",
- "50 NaN 12853.0 12078.0 12924.0 12076.0 11713 \n",
- "51 NaN 13566.0 12649.0 14308.0 13137.0 12136 \n",
- "52 NaN 8727.0 8384.0 9904.0 9335.0 9806 \n",
+ "1 13768.0 12424.0 14701.0 13612.0 14863.0 13751.0 \n",
+ "2 16020.0 14487.0 17430.0 15528.0 13154.0 18318.0 \n",
+ "3 14723.0 13545.0 16355.0 15231.0 13060.0 16738.0 \n",
+ "4 13429.0 13283.0 15971.0 14461.0 12859.0 15712.0 \n",
+ "5 13123.0 12799.0 15087.0 14188.0 12571.0 14560.0 \n",
+ "6 12534.0 13222.0 14111.0 13805.0 12697.0 13730.0 \n",
+ "7 12412.0 13347.0 13925.0 13212.0 12016.0 13510.0 \n",
+ "8 12300.0 12877.0 13753.0 13330.0 12718.0 13071.0 \n",
+ "9 12334.0 12479.0 12190.0 12819.0 12733.0 13181.0 \n",
+ "10 12415.0 12396.0 14859.0 12580.0 12493.0 13007.0 \n",
+ "11 12499.0 12018.0 14367.0 12089.0 12489.0 12475.0 \n",
+ "12 12112.0 11797.0 13397.0 11833.0 10983.0 12027.0 \n",
+ "13 12507.0 11260.0 11310.0 11453.0 11738.0 11987.0 \n",
+ "14 18565.0 11445.0 12272.0 11305.0 13060.0 10325.0 \n",
+ "15 20929.0 11661.0 13843.0 9761.0 12757.0 11575.0 \n",
+ "16 24691.0 10243.0 12639.0 11000.0 12310.0 13061.0 \n",
+ "17 24303.0 11452.0 11596.0 12356.0 11795.0 12023.0 \n",
+ "18 20059.0 12695.0 11538.0 10372.0 10401.0 11586.0 \n",
+ "19 14428.0 10361.0 9821.0 12114.0 12002.0 10138.0 \n",
+ "20 16390.0 11717.0 11386.0 11718.0 11222.0 11692.0 \n",
+ "21 13839.0 11653.0 10974.0 11431.0 11013.0 11334.0 \n",
+ "22 11265.0 9534.0 9397.0 9603.0 9192.0 9514.0 \n",
+ "23 12106.0 11461.0 11259.0 11134.0 11171.0 11603.0 \n",
+ "24 11302.0 10754.0 10535.0 10698.0 10673.0 10858.0 \n",
+ "25 10694.0 10807.0 10514.0 10930.0 10611.0 10629.0 \n",
+ "26 10282.0 10824.0 10529.0 10624.0 10526.0 10525.0 \n",
+ "27 10412.0 10328.0 10565.0 10565.0 10412.0 10545.0 \n",
+ "28 9941.0 10512.0 10467.0 10643.0 10647.0 10278.0 \n",
+ "29 10096.0 10324.0 10353.0 10426.0 10672.0 10028.0 \n",
+ "30 10159.0 10422.0 10356.0 10147.0 10612.0 10021.0 \n",
+ "31 10262.0 10564.0 10408.0 10239.0 10433.0 9893.0 \n",
+ "32 10236.0 10406.0 10542.0 10278.0 10439.0 10153.0 \n",
+ "33 10592.0 10405.0 10091.0 10569.0 10312.0 10352.0 \n",
+ "34 10990.0 10279.0 10199.0 10698.0 10637.0 10354.0 \n",
+ "35 10364.0 9478.0 9046.0 9372.0 9226.0 10239.0 \n",
+ "36 9023.0 10918.0 10680.0 10781.0 10681.0 9092.0 \n",
+ "37 11176.0 10892.0 10496.0 10692.0 10401.0 10573.0 \n",
+ "38 10797.0 10792.0 10498.0 10875.0 10183.0 10381.0 \n",
+ "39 10890.0 10954.0 10463.0 11027.0 10278.0 10826.0 \n",
+ "40 11468.0 11113.0 10869.0 11101.0 10671.0 10700.0 \n",
+ "41 11373.0 11403.0 11048.0 11357.0 11016.0 11108.0 \n",
+ "42 11943.0 11625.0 11177.0 11389.0 11134.0 10799.0 \n",
+ "43 12317.0 11415.0 10885.0 11152.0 11048.0 10966.0 \n",
+ "44 12517.0 11567.0 10866.0 11366.0 11463.0 11026.0 \n",
+ "45 13448.0 12177.0 11588.0 11767.0 11803.0 11312.0 \n",
+ "46 13798.0 12146.0 11552.0 11773.0 12209.0 11338.0 \n",
+ "47 14291.0 12472.0 11289.0 12102.0 12064.0 11178.0 \n",
+ "48 14132.0 12455.0 11392.0 12046.0 11901.0 11216.0 \n",
+ "49 13986.0 12275.0 11687.0 12342.0 12733.0 11748.0 \n",
+ "50 13942.0 12853.0 12078.0 12924.0 12076.0 11713.0 \n",
+ "51 14658.0 13566.0 12649.0 14308.0 13137.0 12136.0 \n",
+ "52 13035.0 8727.0 8384.0 9904.0 9335.0 9806.0 \n",
+ "53 NaN NaN NaN NaN NaN NaN \n",
"\n",
" previous_mean \n",
"1 13870.2 \n",
@@ -6867,10 +8266,11 @@
"49 12157.0 \n",
"50 12328.8 \n",
"51 13159.2 \n",
- "52 9231.2 "
+ "52 9231.2 \n",
+ "53 NaN "
]
},
- "execution_count": 114,
+ "execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
@@ -6886,22 +8286,24 @@
},
{
"cell_type": "code",
- "execution_count": 115,
- "metadata": {},
+ "execution_count": 109,
+ "metadata": {
+ "Collapsed": "false"
+ },
"outputs": [
{
"data": {
"text/plain": [
- ""
+ ""
]
},
- "execution_count": 115,
+ "execution_count": 109,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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MRuCUu9/fW2ur3K+fBl4CxgMH3T8iMow5y31TKMEjKca11+hyZQPRE4J9Nq6IiIhId/pMhKy1x+l+H0/nPlM7vbbAN3ro9yLwYjftp4HUvmIRkeGhvd3iLKvn8bl3993ZS56zhC5V1DNn6mSfjSsiIiLSHa/2CImIdFZSfZObLW0+nRFKiBzPOEcAl1QwQURExOeqq6t5/vnne+1TVFTEnj17+hyrqKiI1NSe5zByc3PJysoiLS2NrKwsjh492nHtzJkzpKWlkZKSwrp16zr2Bu/bt4+ZM2cSEBBA57NCW1paWLNmDWlpacyYMYNNmzb1GZ+3lAiJSL91FErwQelsD0eA4d6oUJ0lJCIiMgR8mQj1JTo6mjfeeINz586xc+dOVq1a1XHt6aefZseOHTidTpxOJ4cOHQIgNTWVV155hZycnC5j7du3j+bmZs6dO8eZM2f413/9V4qKigYdI/TzHCEREXAVSgBI8VHFOI+kaJXQFhGR0e/7732fj6o+8umYD0x+gPVz1/d4fcOGDVy8eJGMjAwWLVoEwMGDBzHG8Oyzz7JixQo2bNhAfn4+GRkZrFmzhuXLl7Nq1SoaGlz/b962bRsLFizoM5bMzMyO1zNnzqSpqYnm5maqqqqora1l/vz5AKxevZpXX32VJUuWMGPGjG7HMsbQ0NBAa2srN2/eZNy4cUycONHrz6U3SoREpN+cZXXETQwhYrxvKsZ5JMWE8YvfVNDWbnEE9Lo1UURERPph8+bNnD9/nry8PPbv38/27ds5e/YslZWVzJkzh5ycHDZv3sxzzz3Hm2++CUBjYyO5ubmEhITgdDpZuXJll2Vr3ti/fz+ZmZkEBwdTUlJCYuKnp+YkJiZSUlLS6/1f+cpXeO2114iPj6exsZGtW7cyebJv9hIrERKRfisor2O6D5fFeUyLDuNWWztXq29y9+RQn48vIiIyHPQ2c3MnHD9+nJUrV+JwOIiNjWXhwoWcOnXqtpmWlpYW1q5dS15eHg6Hg4KCgn4958KFC6xfv54jR44AdHtWoOv0nJ699957OBwOrl69yo0bN3j44Yf5nd/5HaZNm9avWLqjPUIi0i/t7ZbC8nqfFkrwSIp2JVcqmCAiIjJ0vD28fOvWrcTGxnL27FlOnz7NrVven/VXXFzM8uXL2bVrF8nJyYBrBqi4uLhLn4SEhF7H2bNnD4899hhBQUFMmTKF7Ozsfs9K9USJkIj0y5UbjTS1tPu0UILHtBhXCe3LFfU+H1tERGQsCw8Pp67OVewoJyeHvXv30tbWRkVFBceOHWPu3Lld+gDU1NQQHx9PQEAAu3fvpq2tzatnVVdXs3TpUjZt2kR2dnZHe3x8POHh4Zw8eRJrLbt27WLZsmW9jnXPPfdw9OhRrLU0NDRw8uRJHnjggQF8ArdTIiQi/eIplDB9CGaEosLGER4SqIIJIiIiPhYVFUV2djapqamcOHGCWbNmkZ6eziOPPMKWLVuIi4tj1qxZBAYGkp6eztatW3nmmWfYuXMn8+bNo6CggLCwMK+etW3bNgoLC9m4cSMZGRlkZGRQXl4OwAsvvMCTTz5JSkoKycnJLFmyBIADBw6QmJjIiRMnWLp0KYsXLwbgG9/4BvX19aSmpjJnzhy+9rWvMWvWLJ98JsbbqbHhZvbs2dZX02Ii4r0f/ryQfzr8G879f18gPMS3xRIAlm07zsTxQez+48/5fGwRERF/yc/P77EymvhGd5+xMeaMtXZ2d/01IyQi/eIsqyMhImRIkiBwldC+pLOEREREZIipapyI9EtBWf2QLIvzSIqewGtnr9LU0kZIkGPIniMiIiKDc/jwYdav71oBLykpiQMHDvgpov5RIiQiXmtrt1ysqCc7JWrInpEUE4a18PH1Ru6PG7qES0RERAZn8eLFHXt5RiItjRMRr31S1Uhza/uQzghNi3ZXjqtU5TgREREZOkqERMRrBWWukppDcYaQx1R3IqSzhERERGQoKRESEa853YnQ9Cm+P0PIY0JwIFPCg7msggkiIiIyhJQIiYjXCsrquStyPGHBQ7u9MCk6TGcJiYiIyJBSIiQiXisoq+O+2KGbDfKYFjNBS+NERER8qLq6mueff77XPkVFRezZs6fPsYqKikhNTe3xem5uLllZWaSlpZGVlcXRo0c7rp05c4a0tDRSUlJYt24dnjNN9+3bx8yZMwkICKDzWaE/+clPOg5lzcjIICAggLy8vD5j9IYSIRHxSmtbO5cqGoZ0f5DHtOgwqhpuUd14a8ifJSIiMhb4MhHqS3R0NG+88Qbnzp1j586drFq1quPa008/zY4dO3A6nTidTg4dOgRAamoqr7zyCjk5OV3G+upXv0peXh55eXns3r2bqVOnkpGRMegYQeWzRcRLH1c1cqttaCvGeSR1VI5rIPOecUP+PBERkTup9B//keb8j3w6ZvCMB4j767/u8fqGDRu4ePEiGRkZLFq0CICDBw9ijOHZZ59lxYoVbNiwgfz8fDIyMlizZg3Lly9n1apVNDS4Vmls27aNBQsW9BlLZmZmx+uZM2fS1NREc3MzVVVV1NbWMn/+fABWr17Nq6++ypIlS5gxY0af4/7Hf/wHK1eu7LOft5QIiYhXnB0V44Z+aVxSTOdEaNKQP09ERGS027x5M+fPnycvL4/9+/ezfft2zp49S2VlJXPmzCEnJ4fNmzfz3HPP8eabbwLQ2NhIbm4uISEhOJ1OVq5c2WXZmjf2799PZmYmwcHBlJSUkJiY2HEtMTGRkpISr8fau3cvr732Wr+e3xslQiLilYIy17k+KUNYMc7j7kmhOAKMCiaIiMio1NvMzZ1w/PhxVq5cicPhIDY2loULF3Lq1CkmTpzYpV9LSwtr164lLy8Ph8NBQUFBv55z4cIF1q9fz5EjRwA69gN1Zozxaqx3332X0NDQXvcm9ZcSIRHxSkFZHXdPHk/ouKH/a2NcYAB3TxqvggkiIiJDoLuEpDtbt24lNjaWs2fP0t7eTkhIiNfPKC4uZvny5ezatYvk5GTANQNUXFzcpU9CQoJX47388ss+XRYHKpYgIl5yltVz35Sh3x/kkRQdprOEREREfCQ8PJy6Otcy95ycHPbu3UtbWxsVFRUcO3aMuXPndukDUFNTQ3x8PAEBAezevZu2tjavnlVdXc3SpUvZtGkT2dnZHe3x8fGEh4dz8uRJrLXs2rWLZcuW9Tlee3s7+/bt4/HHH+/nu+6dEiER6VNLWzuXKuvvSKEEj6ToCVyubPD6t1YiIiLSs6ioKLKzs0lNTeXEiRPMmjWL9PR0HnnkEbZs2UJcXByzZs0iMDCQ9PR0tm7dyjPPPMPOnTuZN28eBQUFhIWFefWsbdu2UVhYyMaNGzvKXpeXlwPwwgsv8OSTT5KSkkJycjJLliwB4MCBAyQmJnLixAmWLl3K4sWLO8Y7duwYiYmJTJs2zaefiRmpXzJmz55t+7tZS0QGprC8jt/5l2P8yx+m8/88lNj3DT6w++TH/O2r5zn5nUeJi/B+Kl5ERGQ4ys/P96oymgxcd5+xMeaMtXZ2d/01IyQiffIUSrgTZwh5JLtLaF+qqL9jzxQREZGxQ8USRKRPBWV1GAPJMUNfMc7DU0L7UmUDC1Ki79hzRURExDuHDx9m/fr1XdqSkpI4cOCAnyLqHyVCItInZ1k990wOZfw4xx17Zmx4COODHCqhLSIiMkwtXry4y16ekUZL40SkTwVldUy/gxXjAAICDFOjw5QIiYiIyJBQIiQivbrV2s7lygbui71zy+I8pikREhERkSGiREhEelV0vYHWdntHCyV4JEWH8UlVIy1t7Xf82SIiIjK6KRESkV4VlLkOVpvuhxmhpOgw2totV6oa7/izRUREZHRTIiQivSooqyfgDleM8/BUjtPyOBERkcGprq7m+eef77VPUVERe/bs6XOsoqIiUlNTe7yem5tLVlYWaWlpZGVlcfTo0Y5rZ86cIS0tjZSUFNatW9dxcPq+ffuYOXMmAQEBfPas0A8++ID58+czc+ZM0tLSaGpq6jNGbygREpFeOcvquDcqjJCgO1cxzmNatBIhERERX/BlItSX6Oho3njjDc6dO8fOnTtZtWpVx7Wnn36aHTt24HQ6cTqdHDp0CIDU1FReeeUVcnJyuozV2trKH/3RH7F9+3YuXLjAL37xC4KCggYdI6h8toj0wVUx7s7PBgFEho5jUmgQFyuUCImIyOjx9n8WUHnFtweGR989gYf/8L4er2/YsIGLFy+SkZHBokWLADh48CDGGJ599llWrFjBhg0byM/PJyMjgzVr1rB8+XJWrVpFQ4Pr/8Pbtm1jwYIFfcaSmZnZ8XrmzJk0NTXR3NxMVVUVtbW1zJ8/H4DVq1fz6quvsmTJEmbMmNHtWEeOHGHWrFmkp6cDEBUV5d0H4gUlQiLSo+bWNoquN7IkNd5vMUyLmcDlSt/+z0JERGSs2bx5M+fPnycvL4/9+/ezfft2zp49S2VlJXPmzCEnJ4fNmzfz3HPP8eabbwLQ2NhIbm4uISEhOJ1OVq5ceduytb7s37+fzMxMgoODKSkpITExseNaYmIiJSUlvd5fUFCAMYbFixdTUVHB448/zl/91V/1/wPohhIhEenR5coG2tqtXwoleCRFh/G2s8JvzxcREfG13mZu7oTjx4+zcuVKHA4HsbGxLFy4kFOnTjFx4sQu/VpaWli7di15eXk4HA4KCgr69ZwLFy6wfv16jhw5AtCxH6gzY0yvY7S2tnL8+HFOnTpFaGgojz76KFlZWTz66KP9iqU72iMkIj0qKHPNxPijdLZHUnQYZbXNNDS3+i0GERGR0aS7hKQ7W7duJTY2lrNnz3L69Glu3brl9TOKi4tZvnw5u3btIjk5GXDNABUXF3fpk5CQ0Os4iYmJLFy4kOjoaEJDQ/niF7/I+++/73UcvVEiJCI9cpbV4QgwTHNXb/MHFUwQEREZvPDwcOrqXEdi5OTksHfvXtra2qioqODYsWPMnTu3Sx+Ampoa4uPjCQgIYPfu3bS1tXn1rOrqapYuXcqmTZvIzs7uaI+Pjyc8PJyTJ09irWXXrl0sW7as17EWL17MBx98QGNjI62trfzyl7/kwQcfHMAncLs+EyFjzN3GmJ8bY/KNMReMMX/mbv8nY8xHxpgPjDEHjDGRne75jjGm0BjzG2PM4k7tj7nbCo0xGzq1Jxlj3jXGOI0xe40x43zy7kRkUArK6rg3KpTgwDtfMc5DJbRFREQGLyoqiuzsbFJTUzlx4kRHAYJHHnmELVu2EBcXx6xZswgMDCQ9PZ2tW7fyzDPPsHPnTubNm0dBQQFhYd79YnTbtm0UFhayceNGMjIyyMjIoLy8HIAXXniBJ598kpSUFJKTk1myZAkABw4cIDExkRMnTrB06VIWL3alEJMmTeJb3/oWc+bMISMjg4ceeoilS5f65DMxfU2NGWPigXhr7fvGmHDgDPBlIBE4aq1tNcZ8H8Bau94Y8yDwH8BcIAF4C/AshCwAFgHFwClgpbX2Q2PMfwKvWGtfNsZsB85aa1/oLa7Zs2fb/m7WEpH+eeS5X3BfbDjbV2X5LYamljYe+NtDfGvRfax7dLrf4hARERmM/Pz8HiujiW909xkbY85Ya2d317/PGSFr7TVr7fvu13VAPnCXtfaItdazaP8krsQIYBnwsrW22Vp7GSjElRTNBQqttZestbeAl4FlxrVD6hHgv9z378SVaImIHzW1tFF0vYH7/FgoASAkyMFdkeM1IyQiIiI+1a+qccaYqUAm8O5nLn0d2Ot+fReuxMij2N0GcOUz7Z8DooDqTklV5/4i4ieXKhpotzDdj4USPJKiw7ikREhERGRYOXz4MOvXr+/SlpSUxIEDB/wUUf94nQgZYyYA+4E/t9bWdmr/G6AV+ImnqZvbLd3PPtle+ncXw1PAUwD33HOPt6GLyAA4y12bJf1ZMc4jKTqMV/NKsNb2WWZTRERE7ozFixd37OUZibyqGmeMCcKVBP3EWvtKp/Y1wO8CX7WfbjYqBu7udHsicLWX9kog0hgT+Jn221hrd1hrZ1trZ8fExHgTuogMUEFZHYEBhqRo/1WM85gWE0ZdUyvXG7wv2ykiIiLSG2+qxhngx0C+tfZfOtEblUEAACAASURBVLU/BqwHvmStbex0y+vA48aYYGNMEjAdeA9XcYTp7gpx44DHgdfdCdTPga+4718DvDb4tyYig1FQVs/U6DDGBfq/yn6SSmiLiIiIj3nzDScbWAU8YozJc/98EdgGhAO57rbtANbaC8B/Ah8Ch4BvWGvb3HuA1gKHcRVc+E93X3AlVN8yxhTi2jP0Y9+9RREZCGdZnd8LJXhMi3bFcblCiZCIiIj4Rp97hKy1x+l+H89Pe7nnH4B/6Kb9p93dZ629hKuqnIgMA00tbXxc1ciyjOFRt+SuSeMJchgVTBARERGf8f+aFxEZdgrL67F2eBRKAHAEGO6NCuNyZb2/QxERERmRqquref7553vtU1RUxJ49e/ocq6ioiNTU1B6v5+bmkpWVRVpaGllZWRw9erTj2pkzZ0hLSyMlJYV169bhKTOwb98+Zs6cSUBAAJ3PCi0qKmL8+PEdB7P+yZ/8SZ/xeUuJkIjc5tOKccNjaRy49glpj5CIiMjA+DIR6kt0dDRvvPEG586dY+fOnaxatarj2tNPP82OHTtwOp04nU4OHToEQGpqKq+88go5OTm3jZecnExeXh55eXls37590PF59OscIREZGwrK6glyGKYOg4pxHtOiw/hlQQVt7RZHgEpoi4jIyPXzl3ZQ/vEln4455d5p/PYTT/V4fcOGDVy8eJGMjAwWLVoEwMGDBzHG8Oyzz7JixQo2bNhAfn4+GRkZrFmzhuXLl7Nq1SoaGly/iNy2bRsLFizoM5bMzMyO1zNnzqSpqYnm5maqqqqora1l/vz5AKxevZpXX32VJUuWMGPGjMG8/QHRjJCI3MZZVkdSdBhBjuHzV0RSdBi3Wtu5Wn3T36GIiIiMOJs3b+6YWZk3bx55eXmcPXuWt956i29/+9tcu3aNzZs38/DDD5OXl8c3v/lNpkyZQm5uLu+//z579+5l3bp1/X7u/v37yczMJDg4mJKSEhITEzuuJSYmUlJS0ucYly9fJjMzk4ULF/L222/3O4aeaEZIRG5TUFZPWmKEv8PowlNC+1JlA3dPDvVzNCIiIgPX28zNnXD8+HFWrlyJw+EgNjaWhQsXcurUKSZOnNilX0tLC2vXriUvLw+Hw0FBQUG/nnPhwgXWr1/PkSNHAPj02NFP9XVQenx8PJ988glRUVGcOXOGL3/5y1y4cOG2WAdi+Py6V0SGhZu32rhyo5H7pgyPQgkeSTHus4QqVDBBRERkMLpLSLqzdetWYmNjOXv2LKdPn+bWLe8PNi8uLmb58uXs2rWL5ORkwDUDVFxc3KVPQkJCr+MEBwcTFRUFQFZWFsnJyf1OyHqiREhEuvi0YtzwKZQAEDMhmPDgQBVMEBERGYDw8HDq6lzFkHJycti7dy9tbW1UVFRw7Ngx5s6d26UPQE1NDfHx8QQEBLB7927a2tq8elZ1dTVLly5l06ZNZGdnd7THx8cTHh7OyZMnsdaya9culi1b1utYFRUVHc+9dOkSTqeTadOm9fftd0uJkIh0UVDm+gtw+jApne1hjCEpJkxnCYmIiAxAVFQU2dnZpKamcuLECWbNmkV6ejqPPPIIW7ZsIS4ujlmzZhEYGEh6ejpbt27lmWeeYefOncybN4+CggLCwrwrorRt2zYKCwvZuHFjR9nr8vJyAF544QWefPJJUlJSSE5OZsmSJQAcOHCAxMRETpw4wdKlS1m8eDEAx44d64j1K1/5Ctu3b2fy5Mk++UyMt1Njw83s2bNt5xrjIuIbmw7m87+PF/Hh3y8mcBgVSwD4s5d/zZmPb3B8/SP+DkVERKRf8vPz/VIZbSzp7jM2xpyx1s7urv/w+pYjIn7nLKtnWkzYsEuCwFUwoaT6Jk0t3k3Ni4iIiPREVeNEpIuCsjoy75nk7zC6lRQdhrXwSVUj9w2zpXsiIiJjzeHDh1m/fn2XtqSkJA4cOOCniPpHiZCIdGhobqX4xk1WzL7b36F0a1q0q4DDpYoGJUIiIjLiWGv7LBc9kixevLhjL4+/DWS7z/Bb+yIiflNY7ipNPdwKJXhMjXadH3SpUiW0RURkZAkJCeH69esD+sIuvbPWcv36dUJCQvp1n2aERKSDp2LccCud7REeEkRMeDCXK1Q5TkRERhbPGToVFRX+DmVUCgkJITExsV/3KBESkQ7O8nrGBQZwb5R35TH9ISk6TGcJiYjIiBMUFERSUpK/w5BOtDRORDoUlNWRHDMBR8DwXb+cHKNESERERAZPiZCIdHCW1Q/bZXEeSdFhXG+4RU1ji79DERERkRFMiZCIAFDf3EpJ9c1hX40tyV057vJ1zQqJiIjIwCkREhEAnO5CCdOnDP8ZIYDLqhwnIiIig6BESEQA17I4YNjPCN0zOZQAgyrHiYiIyKAoERIRAH5TVkdwYAB3Tw71dyi9GueO8ZIKJoiIiMggKBESEQBOFVUxKzFiWFeM80iKDuOSZoRERERkEJQIiQg3Gm5xrqSGz6fE+DsUr3jOEtLp3CIiIjJQSoREhBOXrmMtfH56lL9D8cq06DButrRRVtvs71BERERkhFIiJCIcL6xkQnAg6YmR/g7FK54S2pdUOU5EREQGSImQiHDcWcm8aVEEOkbGXwnTYjwltLVPSERERAZmZHzrEZEh88n1Rj6pauTh6dH+DsVrcRNDCAkKUAltERERGTAlQiJj3PHCSgCyU0ZOIhQQYJgaFaYZIRERERkwJUIiY9w7hZXETQwh2b3cbKSYFqNESERERAZOiZDIGNbebnnnYiWfnx6NMcP//KDOkqLD+KSqkZa2dn+HIiIiIiOQEiGRMezC1VqqG1v4/AhaFueRFD2B1nbLlapGf4ciIiIiI5ASIZExbCTuD/JIilblOBERERk4JUIiY9jxwgoeiAsnJjzY36H02zQlQiIiIjIISoRExqimljZOFd0YkcviACaFjSMyNIhLSoRERERkAJQIiYxRp4qquNXaTvYIOj/os6ZFh+ksIRERERkQJUIiY9TxwkqCHIbPJU32dygDlhQ9QUvjREREZECUCImMUe8UVvLQPZMIHRfo71AGbFpMGKW1TTQ0t/o7FBERERlhlAiJjEFVDbe4cLV2xO4P8vBUjiu6rlkhERER6R8lQiJj0K8uVmItfH4E7w8CldAWERGRgVMiJDIGHXdWEh4SSNpdEf4OZVCmRrkSoUsqmCAiIiL91GciZIy52xjzc2NMvjHmgjHmz9ztk40xucYYp/ufk9ztxhjzA2NMoTHmA2PMQ53GWuPu7zTGrOnUnmWMOee+5wfGGDMUb1ZEwFrL285K5k+LItAxsn8XMn6cg4SIEM0IiYiISL958y2oFfgLa+0MYB7wDWPMg8AG4GfW2unAz9x/BlgCTHf/PAW8AK7ECfge8DlgLvA9T/Lk7vNUp/seG/xbE5HufHy9kZLqmzw8wpfFeSTFhHGpot7fYYiIiMgI02ciZK29Zq193/26DsgH7gKWATvd3XYCX3a/Xgbssi4ngUhjTDywGMi11lZZa28AucBj7msTrbUnrLUW2NVpLBHxseOFlQBkj/BCCR73TA6lpPqmv8MQERGREaZf62KMMVOBTOBdINZaew1cyRIwxd3tLuBKp9uK3W29tRd3097d858yxpw2xpyuqKjoT+gi4vZOYSV3RY7vKDQw0sVHjKey/hbNrW3+DkVERERGEK8TIWPMBGA/8OfW2treunbTZgfQfnujtTustbOttbNjYmL6CllEPqOt3fKri9fJTolitGzFi48IAaC0psnPkYiIiMhI4lUiZIwJwpUE/cRa+4q7ucy9rA33P8vd7cXA3Z1uTwSu9tGe2E27iPjY+ZIaam62jJplceCaEQK4Wq1ESERERLznTdU4A/wYyLfW/kunS68Dnspva4DXOrWvdlePmwfUuJfOHQa+YIyZ5C6S8AXgsPtanTFmnvtZqzuNJSI+NNr2BwHER7pnhGq1T0hERES8F+hFn2xgFXDOGJPnbvtrYDPwn8aYPwY+Af7Afe2nwBeBQqAR+BqAtbbKGLMROOXu9/fW2ir366eBl4DxwEH3j4j42HFnJTPiJxI9IdjfofiMZ2mcZoRERESkP/pMhKy1x+l+Hw/Ao930t8A3ehjrReDFbtpPA6l9xSIiA3fzVhtnPr7BE9lT/R2KT4WOCyRifBDXajQjJCIiIt4b2acpiojX3iuq4lZb+6haFucRHxHCNc0IiYiISD8oERIZI94prGScI4C5Uyf7OxSfS4gczzVVjRMREZF+UCIkMka87awk695JjB/n8HcoPhcfEaKlcSIiItIvSoRExoDK+mbyr9Xy+emjb1kcuBKhG40t3LylQ1VFRETEO0qERMaAd9xlsz8/CvcHwadnCZXWanmciIiIeEeJkMgY8E5hJRHjg0i9K8LfoQwJz1lC16q1PE5ERES8o0RIZJSz1nLcWcmC5CgcAT1Vwh/ZEtwzQldVMEFERES8pERIZJS7XNnA1ZqmUVk22yMuQjNCIiIi0j9KhERGudG+PwggJMjB5LBxXNMeIREREfGSEiGRUe5tZyWJk8Zzb1Sov0MZUq5DVTUjJCIiIt5RIiQyirW2tXPi0nU+nxKNMaNzf5CH6ywhzQiJiIiId5QIiYxiH5TUUNfUOmrPD+osPmK8EiERERHxmhIhkVHsHadrf9CC5DGQCEWGUHOzhcZbrf4ORUREREYAJUIio9jxwkpmJkxkctg4f4cy5DpKaFdrVkhERET6pkRIZJRqaG7l/U9ujIllcdCphHaNCiaIiIhI35QIiYxS7xVV0dJmR3XZ7M48M0LaJyQiIiLeUCIkMkodd1YyLjCAOVMn+zuUOyI2IhiAa1oaJyIiIl5QIiQySr1TWMmcqZMICXL4O5Q7IjjQQfSEYC2NExEREa8oERIZhcrrmviotI7sMbIsziM+IoSrWhonIiIiXlAiJDIK/arwOgAPp8T4OZI7Kz4ihFLNCImIiIgXlAiJjELHCyuJDA3iwYSJ/g7ljkqIHK89QiIiIuIVJUIio4y1luPOSrKTo3EEGH+Hc0fFRYRQ19xKXVOLv0MRERGRYU6JkMgoc7GigdLapjG3PwhcS+MASrVPSERERPqgREhklDnurADg4TFykGpnCZGus4RUMEFERET6okRIZJQ5XnideyaHcvfkUH+Hcsd5ZoSuVatggoiIiPROiZDIKNLa1s7JS9fH5LI4gNiJIRijGSERERHpmxIhkVHkbHE19c2tY3JZHECQI4CYCcEqoS0iIiJ9UiIkMoocd17HGJg/LcrfofhNfOR4rmlGSERERPqgREhkFDleWEHaXRFMChvn71D8Jn5iCFe1R0hERET6oERIZJSw1nK+pJaH7pnk71D8Kj4yhGs1TVhr/R2KiIiIDGNKhERGidqmVm62tHGXu4T0WJUQMZ7GW23UNrX6OxQREREZxpQIiYwSZbWufTGx7hLSY1V8pLuEtgomiIiISC+UCImMEqXuAgGx4cF+jsS/Pj1LSAUTREREpGdKhERGiVL3jFDcWJ8RinAtDVTlOBEREenNmEuEij88T9EHv/Z3GCI+V+5ZGjdxbCdCU8KDCTBaGiciIiK9G3OJ0C9/8iL/5wf/ROutW/4ORcSnSmubiAwNIiTI4e9Q/CrQEUDsxBCuammciIiI9GLMJULVpddoqqvFeeqEv0MR8anSmmZiw8f2bJBHXESIZoRERESkV2MqEWqqr6epvg6Ac28d8nM0Ir5VXtc05ivGeSREjO8oHiEiIiLSnTGVCFWXXQMgLuU+rnx4jqqrxX6OSMR3SmuaiJs4tivGecRHhHC15qYOVRUREZEe9ZkIGWNeNMaUG2POd2rLMMacNMbkGWNOG2PmutuNMeYHxphCY8wHxpiHOt2zxhjjdP+s6dSeZYw5577nB8YY4+s36eFJhLJXrCLA4eCDnx0eqkeJ3FGtbe1U1jeP+UIJHnERITS1tFPd2OLvUERERGSY8mZG6CXgsc+0bQH+zlqbAXzX/WeAJcB0989TwAsAxpjJwPeAzwFzge8ZYya573nB3ddz32ef5TM1ZaUA3HXfDJJnf44Lv/wZrS36oiQjX2X9LdqtKsZ5JESqhLaIiIj0rs9EyFp7DKj6bDMw0f06Arjqfr0M2GVdTgKRxph4YDGQa62tstbeAHKBx9zXJlprT1jXGpZdwJcH/a56cKP0KmGTJhMUEsKsRx9zFU1471dD9TiRO6bjDCElQkCnQ1VVMEFERER6MNA9Qn8O/JMx5grwHPAdd/tdwJVO/Yrdbb21F3fTPiRqykqJjI0D4N60DCKmxKpogowKnsIAmhFy8cwIXdWMkIiIiPRgoInQ08A3rbV3A98Efuxu725/jx1Ae7eMMU+59ySdrqio6GfIUF16lcjYeNdYAQGkPbJYRRNkVCivcydCESqWABA9IZjAAMO1as0IiYiISPcGmgitAV5xv96Ha98PuGZ07u7ULxHXsrne2hO7ae+WtXaHtXa2tXZ2TExMvwJuudVM/Y2qjkQIIPW3F6logowKpTVNBAYYosOUCAE4AgyxE0NUQltERER6NNBE6Cqw0P36EcDpfv06sNpdPW4eUGOtvQYcBr5gjJnkLpLwBeCw+1qdMWaeu1rcauC1gb6Z3ngKJUTEfZoIhUVOUtEEGRVKa5uYEh5MQMCQFV0ccTwltEVERES640357P8ATgD3G2OKjTF/DPx34J+NMWeBf8RV9Q3gp8AloBD4N+AZAGttFbAROOX++Xt3G7iW2f3Ifc9F4KBv3lpX1aWu0tmTOs0IASqaIKNCWW0TU7Q/qIv4yPGqGiciIiI9Cuyrg7V2ZQ+Xsrrpa4Fv9DDOi8CL3bSfBlL7imOwPGcIdZ4Rgq5FE2ZkL+zuVpFhr6y2mZSYCf4OY1iJjwjh8IUmrLUM4fFkIiIiMkINdGnciFNdeo3gsDDGTwjv0t61aEKJn6ITGZyymibiIjQj1Fl8RAi3Wtuparjl71BERERkGBo7iVDZNSJjE7q99mnRBJXSlpGnobmVuuZWpkxUoYTO4iN0qKqIiIj0bIwlQnHdXlPRBBnJynSYarc8h6peVQltERER6caYSITaWluprSgnMq77GSH4tGhCoYomyAhTqkSoW/GRrs/D8/mIiIiIdDYmEqG6ygpse3uPM0LwadGED97S8jgZWTwzQqoa11V0WDBBDsPVaiVCIiIicrsxkQhVl7rOaI38TMW4zlQ0QUaqstpmABVL+IyAAENcRAjXdJaQiIiIdGNsJELuw1QjY3tOhEBFE2RkKq1pYkJwIBOC+6yGP+bETxzPNc0IiYiISDfGSCJ0lcBxwYRNmgyA67ij26logoxEZbVNxKpiXLfiI0O4VqsZIREREbndGEmESomMjcMYw3ff+S7f+Nk3ekyGVDRBRprS2iZitT+oW/ER4ymtaaK9vfv/3kVERGTsGhuJUOk1ImLjabftvPXJW7xd8jaHirpf/qaiCTLSlNc2q2JcDxIiQ2hps1Q2NPs7FBERERlmRn0iZNvbqSkrJTIunkvVl6i7Vce4gHE8d/o5Glsab+uvogkykrS3W9fSOBVK6JYnQSzVoaoiIiLyGaM+EaqvrqK15RaRsfH8uuLXAHxvwfcobyznR+d+1O09nqIJ544evpOhivTb9YZbtLZbYsO1R6g7CZHjAVRCW0RERG4z6hOh6tJrAETGxvHrsl8zOWQyvzft9/i9ab/HSxde4krtldvu6Sia8Iu3VDRBhjXPGUIqnd29ePfnohLaIiIi8lmjPxEqcydCcQn8uvzXZE7JxBjDN7O+SVBAEFtOben2vlmPPsZNFU2QYc6TCKlYQvcmh41jXGAA17Q0TkRERD5j1CdCNWWlBDgc3AozFNcXkzklE4CY0Bj+JP1P+EXxL3i7+O3b7usomvAzLY+T4atUiVCvjDHER4QoERIREZHbjPpE6EbpNSbGTOHs9Q8AyJiS0XHtj2b8EVMnTmXLqS20tHVdAtdRNOHCByqaIMNWWW0zxkCM9gj1KD4ihGvVWhonIiIiXY36RKim7BqRsfG8X/Y+wY5gHpz8YMe1IEcQfzXnryiqLeLf8//9tntVNEGGu7KaJqInBBPkGPX/KQ9YQsR4zQiJiIjIbUb1tydrbccZQnnleaRGpxLkCOrS5+HEh/mtxN9i+9ntVDRWdLmmogky3JXWNukMoT7ERYRQWttEmw5VFRERkU5GdSLUVF9Hc2MDYTFRfFT1Ucf+oM/69pxv09LewtYzW2+7pqIJMpyV1TYRO1HL4noTHzmetnZLZb0OVRUREZFPjepEyFM6u3p8M622tcdE6J6J9/DEzCd449Ib5JXndbmmogkynLkSIc0I9SbBXUL7qvYJiYiISCejOxFyl84uMmUApMek99j3ybQnmRI6hX989x9pa2/raFfRBBmumlrauNHYoqVxfYjrOEtI+4RERETkU2MiEfqg1UlKZAoRwRE99g0NCuUvZ/8l+VX5HCg80OWaiibIcFRe61rqpRmh3iVEjAeUCImIiEhXozsRKr3GhMlRnK0616Vsdk8em/oYWbFZ/OD9H1DTXNPRrqIJMhyV1bnPEIpQItSbyNAgQoICVEJbREREuhjdiVBZKeOiIqlrqetxf1Bnxhi+M/c71Nyq4fm857tcU9EEGW5K3TMcWhrXO2OMSmiLiIjIbUZ3IlR6laYJrtfeJEIA90++nz+47w/Y+5u9FNwo6GhX0QQZbspq3TNCqhrXp7iIEK7WaEZIREREPjVqE6FbTTdprKmmPLie6PHRJE5I9PretRlrmTBuApvf24y1rrNHTEAAaY8+xpULH1Dym/yhClvEa2W1TQQHBhAxPqjvzmNcfMT4jhk0ERERERjFiVBNWSkAl8xVMqdkYozx+t7IkEjWZa7jVOkpDn/86QxQ5mO/y4SoaN760Q9pa231ecwi/VFa20xcREi//t0eqxIiQyirbaK1rd3foYiIiMgwMWoTIc8ZQkUB5WTE9F0o4bN+f/rv88DkB/jn0/9MY0sjAONCxvPIE09R+UkRvz74uk/jFemvshqdIeSt+IjxtFsor9OhqiIiIuIyehMhd+nsutAWHop9qN/3OwIcfGfudyhtKOXH53/c0Z4yZz7THprDr/btobaywmfxivRXWZ0SIW/Fd5wlpH1CIiIi4jJ6E6HSa9iQQALHh3D/5PsHNMZDsQ/xxaQv8tL5l7hSdwVwVaB65Gt/grWWn7+0w5chi3jNWktpTRNxKpTglfhIHaoqIiIiXY3eRKjsGg0T2kmNTiUoYOCbyb+V9S0cAQ7+6dQ/dbRFTIll3u8/TuGpE1w8854vwhXpl5qbLTS3tmtGyEvxnkNVq5UIiYiIiMuoTYRulF2lYly912WzexIbFstTs57i51d+zjsl73S0z/7dLxOVeA9H//d2Wpr15UrurNKO0tlKhLwxMSSQ0HEOldAWERGRDqMyEWprbaGuspKa0FuDToQAVj+4mnvC72Hze5tpaWsBwBEYxO/88TPUVpRzcv/Lg36GSH+U1bo2/cdFKBHyhjGG+IgQldAWERGRDqMyEaopLwdrqQttIz0mfdDjjXOMY/3c9RTVFrHnoz0d7YkPpjJz4e9w+s0DVF75eNDPEfFWmfsLfZxmhLyWEDmeqz5MhNraLX/28q/51cVKn40pIiIid86oTISqy64CEBEbS/i4cJ+MmZOYw8N3PcwP837IK85XaLeu80hy/uhrjBsfyls/er7j8FWRoeZZGhcTrmIJ3oqPCOFate+Wxp35+Aav5V3l5feu+GxMERERuXNGZSJ045orEZqeNMun4353/neZMXkG3/vV91h9cDUfVX1E6MQIHv5vT1Dy0QUu/PJnPn2eSE/KapuYFBpESJDD36GMGHER46mob+ZWq28OVT143lWi/93L1/VLEBERkRFoVCZCRZ/k0+JoJ33qHJ+OGxcWx0uPvcT/yP4fXKm7woo3V/D9975PUvZ8Eu6bwbF/f5GbdbU+faZId8pqdYZQfyVEhGAtlNcNfnmctZbD50sZ5wigrLaZouuNPohQRERE7qRRmQhdK7lEXWjrgA5S7YsxhmUpy3j9y6/zB/f9AT/J/wlfen0ZwUtm0dRQz9t7XvL5M0U+q7S2SYUS+ik+0l1C2wf7hM6V1HC1pomvfz4JgHcvXR/0mCIiInJnjcpEqKG8klvhDhLCEobsGRHBETw771n2LN1DbGgs33NuofLBEM4dPULJRx8O2XNFwFU1LjZciVB/JLgTx6s+2Cd08HwpjgDD/5szjegJ4zipREhERGTEGXWJUHt7GwG1zUyIjcEYM+TPS41O5Sdf/AnPfu5Z3p5aTENIKy9v+3vqbmqJnAyNlrZ2KuubidWMUL94ZtAGW0LbWsuh86XMnxbFpLBxfC4pincvV2mfkIiIyAjTZyJkjHnRGFNujDn/mfY/Ncb8xhhzwRizpVP7d4wxhe5rizu1P+ZuKzTGbOjUnmSMedcY4zTG7DXGjBvMG7pc/BEB7YaEu5IHM0y/OAIcrHhgBa9+5Q3aH0mBinr+4l/+kKOfHNWXI/G5irpmrFXp7P4KDwkiPDhw0EvjCsrquVzZwGOpcQDMmzaZazVNXKnSYa0iIiIjiTczQi8Bj3VuMMb8NrAMmGWtnQk8525/EHgcmOm+53ljjMMY4wB+CCwBHgRWuvsCfB/Yaq2dDtwA/ngwb+jXv/kVAPdPyxjMMAMSNT6K763+/4lKvZ+UDwP5659+iz89+qcU1xXf8Vhk9Cpzl86OnajS2f0V/3/Zu+/wqIr1gePfsy2b3ntIJwmdhJKAQCgiTS9YULCA5XcVQVCvV7GCWK56vVYUbKAoCIKioFKkhl4TCCAkJJBGSC+bXnbP749NkJgAKbtAwnyeJ4945pyZ2Zjgvjsz7+ugbfPWuA3Hs5AkuKWrOwCRgc4AYnucIAiCILQzVwyEZFneART87fLjwNuyLFfV3ZNTd308sEKWqyJRjQAAIABJREFU5SpZls8CSUD/uq8kWZbPyLJcDawAxkvGvWvDgR/rnl8CTGjLC0pKOQZA9+CmM8Yt3J7M/zYmtGWIy5IkiTumzcZCacF9mf05mHWQCWsm8NnRz6jWV5ttXOHG8VcgJFaEWsrD3rLNK0Lrj5+nj68jbnXf/85uNjhZa9h3VgRCgiAIgtCetPaMUAgwuG5LW4wkSfVRhzdwcXXBjLprl7ruDBTJslz7t+tNkiTpUUmSDkmSdCg3N7fJe3LOpyErwMHVvVGb3iDzxY5kPt2eRHJuabNeaGvYubox4M7JVCdk8qn/PKJ9ovn0yKfcsfYOkouSzTaucGOoP+Missa1nJe9tk2BUEpeGaeySi5siwPjhx+RAU7sP/P3z4sEQRAEQbietTYQUgGOQBTwLLCybnWnqewEciuuN0mW5S9kWe4ry3JfV1fXRu1lNWXU5utQOFijUDQuNHnsXDGF5TXIMizYZt6ApM+4CTj7+BK3fCVvR73J5zd/Tkl1Cc9sf4bK2ran7xVuXFm6KtRKCSerNh2nuyF52luSV1pFVa2+Vc9vPJEFwKhuHg2uRwY4ca6ogvQCUU9IEARBENqL1gZCGcBq2egAYABc6q53uug+HyDzMtfzAAdJklR/u94qR3OPYlOuwt7do8n2HYm5SBLcEe7NL0fOkWbGIohKlYqb/286utwc9q5ewUDvgbw16C2Si5N579B7ZhtX6PhydJW42WpRKMyfFbGj8XQwrqJlF1e16vn1x7Po4W1PJyerBtejgoznhPafFatCgiAIgtBetDYQ+gXj2R4kSQoBNBiDmrXAJEmSLCRJCgA6AweAg0DnugxxGowJFdbKxpRq24C76vqdCqxp7YuJzY7FrkyFj0/nJttjEnPp6ePA7DFhKBUSC2OSWjtUs/h06U63oTdz+LefyUtLYaD3QB7o+gArElYQkx5j1rGFjitLVykSJbSSZ30toeKWJ0w4X1zBkfSiBtvi6oW42eJgpRYJEwRBEAShHWlO+uzlwF4gVJKkDEmSHgEWA4F1KbVXAFPrVodOACuBP4ENwAxZlvV1Z4CeADYCJ4GVdfcCzAb+JUlSEsYzQ4ta+2KOpR1GrVfg6u3bqK24vIa4tEKiO7vgbqflnr6d+PFwBudMUFzxcobc9xAaSys2L1qAbDDwVMRThDqG8sruV8iryDPr2ELHlKWrFOeDWsnT3hJoXS2hjceb3hYHoFDUnRMSCRMEQRAEod1oTta4ybIse8qyrJZl2UeW5UWyLFfLsny/LMvdZVmOkGV560X3vynLcpAsy6GyLK+/6Po6WZZD6trevOj6GVmW+8uyHCzL8sT6THQtVWuoJS3NmA3Owd2zUfuupDwMMkSHGs8WTRsahCzDFzHmPStkZWfPkPsf4typPzkRswWNUsM7Q96hvLacl3e9jEE2mHV8oePJ0VXhZisCodZoy4rQhhNZdHazIdjNpsn2yABn0gsqzP7hiiAIgiAIptHarXHXncTCRDQlxqDCwaNxIBSTmIOdVkUvHwcAvB0suTPCh+UH08nRmTd5Qffom/EK7UrMsq8p1xUT5BDEs32fZXfmbpadXGbWsYWOpbSqltKqWrEi1ErWFirstCrOF7Xsdz6/tIoDZwua3BZXLzLQCYD9YnucIAiCILQLHSYQisuJw65MBZKE3d9SZ8uyTExiLoM7u6JS/vWSpw8Lqkupfcasc5MUCkb+33SqykrZ++NyAO4OvZuhnYbyweEPSCgwX10joWO5kDpb1BBqNS+HltcS2vRnNgaZywZCXTzssLdUizTagiAIgtBOdKhAyK3aFjsXV1RqdYO2xOxSsnVVRIc0TLnt52zN+F5eLNufRn5p67JINZeLrz89R4wmfvN6CjLPIUkS8wbOw97Cntk7ZouU2kKz1K9euolkCa3maa/lfAu3xm04kUUnJ0u6etpd8h6FQqKfv5MorCoIgiAI7USHCIRkWSYuOw6XKhscmkidHZOYA8CQkMa1h6YPC6ayVs+iXWfNPs8Bd01GqVKza8USAJy0Trw56E2Si5P536H/mX18of3L0okVobbybOGKUHFFDbuT8hjT3RNjubRLiwp0IjW/vMWBliAIgiAIV1+HCIQyyzLJqchBW2LAvolECTGJuYS62zZ5riLYzYaxPTz5dm8qReXVZp2ntYMj/f5xJ6f37+FcwkkABnoNZErXKfyQ8APb07ebdXyh/bsQCIkzQq3maaeloKyayprmFVXddiqHGr3cZLa4v4sKrKsnJLbHCYIgCMJ1r0MEQnE5cahrJAzlVY0yxpVV1XLwbOGFbHE5771P6tQHKdm2DdlgTK7wxLBgSqtq+WZPitnn2vfW27F2cGTH0sUYyyjBkxFPEuYUxpzdc8gtzzX7HIT2K7u4ElutCiuN6so3C03ydGhZCu31x8/jbmdBeCeHK97bxdMOW61KpNEWBEEQhHagQwRCR3KO4FZtCzTOGLfvTD7VegPRIa4YKiooWLqU8kOHyHh8OmfHT6B47VrCXCwZ2dWdxbvOUlJZY9a5qrVaBt59H5mJJ0k6uBfAmFJ78DtU1Fbw8m6RUlu4tGxdFe5iW1ybeLUghXZ5dS0xibmM6uaBQnH5bXEASoVEf38nsSIkCIIgCO1AhwiE4nLi6KoMBBrXEIpJzMVSraSvvyOlO3YiV1TQ6bPP8PrvO4BM5nOzSR49hidLjlJVWs63e1PNPt/uQ0fi7OPLzu+/QV9bC0CgQyDP9nuWPZl7WPrnUrPPQWifsnSV4nxQG9WvCDUnhXZMQi6VNQZGN2NbXL3IQCfO5JWZPS2/IAiCIAht0+4DIV21jtOFp/E3uAE0SpawIzGXgUHOWKiUlGzcgNLREesBUdj/4x8ErFmDz4IFqFxdUc7/H8u2vkXeZ59RkmfebS0KpZLB9z5I4flMjm3ZeOH6xJCJDOs0jA9jP+RUwSmzzkFon7J1lWJFqI3qA8msZgQqG05k4Wilpn+AU7P7rz8ntO+sWBUSBEEQhOtZuw+E4nPjkZFxrLTEyt4BjaXVhbaUvDJS8ssZEuKKobKSku0x2I4ciaQynq+QFApshw/Db/n3+H33Ldpu3bn76O+k3DyS7HffpSYnx2zzDozoh0/X7uz58XuqysuN86lLqe1g4cDsHbOpqBWZp4S/GAwyOSVVuIvU2W1iqVHiaKUms+jyv19VtXq2nsxhZFf3BvXHrqSrpx02Fir2icKqgiAIgnBda/eBUFxOHEpJiaq4ptG2uB2njYkHokNcKd25E7m8HNtRtzTqQ5IkrPr1o/t3i/nigXkc9OhKwdffkDziZs7PmUt1qum3y0mSRPR9D1OhK+bQrz9duO6odeSNQW9wpvgM7x16z+TjCu1XXlkVeoMsMsaZgKf9lVNo70nKp6SqljHdG2eivByVUkFff0f2i0BIEARBEK5r7T4QOpJzhBDHEEpychpti4tJyMXP2Qp/F2tKNv6B0sEB6/79L9vf3ZNG8FrvyRz9z5fY33kHxb/8QvKYsWQ8/TSVf/5p0rl7BIcQOnAIh377hdKCv940DfQayNSuU0VKbaGB7GJj0V+xNa7tPO21V1wR2nA8CxsLFQODnVvcf1SgM8m5ZeSWmLdQsyAIgiAIrdeuA6EaQw3xufFEOPempCAPBw+vC21VtXr2JOcbs8VVVVG6bRs2N49AUqsv22dUoBP9/B356GQFzi/PIXjLZpwfeZiyHTs5e8edpE97HENZmclew+DJUzDo9exeuazB9VkRs0RKbaGB7LozLSIQajtPB+1lzwjV6g388WcWw8PcsFApW9x/ZN2ZIpFGWxAEQRCuX+06EEooSKBSX0kXpT/IcoMVoUMphVTU6IkOcaVs924MZWXYjRp9xT4lSeKJ4Z05X1zJT7EZqFxdcXvmGYK3bcX1qaco3bGDzOefv1CDqK3s3TwIHz2OE9s3k5eWcuG6RqnhnSEipbbwlwvFVEUg1Gae9pYUlddQUd10UdUDKQUUltcwpnvzs8VdrLu3PdYapUijLQiCIAjXsXYdCMXlxAHgU2vcumJ/0RmhHYm5aJQKogKdKdm4EYW9PdZRkc3qd0hnF3r52LNgexI1emMAorSzw2XaY7g/P5uSTZvJ++RTk72OyNvvQWNpyY7vv2lwPdBepNQW/pKtq0QhgYuN5lpPpd3zcrh8LaENx7PQqhUXCjG3lFqpoI+/k0iYIAiCIAjXsXYfCHlZe0FdPZCLi6nGJObS198RS8lAyZat2A4ffsVtcfUkSWLm8M6kF1Sw9khmgzbHBx7A/s47yFuwAN2GDSZ5HZa2dkTefjdn4w6RdvxogzaRUluol62rxNXWokUZzISmedhdupaQwSCz8UQW0SGuWGlUrR4jMsCJ0zml5JeKc0KCIAiCcD1q1++o4nLiCHcPpyg7E42lFZa2dgBkFVdyKqvEuC1uzx4MpaXYjR7Vor5HdHGji6cdn25LQm+QL1yXJAmPuXOxDA8n8/kXTJZAIXz0bdi6uLJj2dcNtt1dnFL7hZ0vUKOvMcl4QvuTpasS54NMpH5F6HwTK0JHMorI1lUxupXb4urV1xM6IOoJCYIgCMJ1qd0GQtWGavIq8gh3DacoOwsHD08kSQKM2+IAokNdKdn4BwpbW6wHDGhR/8ZVoWDO5JXx+7HzDdoUGg0+8z9G6eBA+ownqM3La/PrUWk0DJo0hewzSZzas6NBm6PWkVcHvkpSURJfHf+qzWMJ7VN2sSimair1KcibSqG94XgWaqXE8DD3No3R08ceS7VSbI8TBEEQhOtUuw2EKmqMn+T2dutNcfb5BjWEYhJzcbezIMTRgpItW4zb4jQtP1cxupsHnd1s+HRrEoaLVoUAVC4u+Hz6CfrCQjJmzsJQXd22FwR0uSkaV/9Adq34ltqahis/Q3yGMCZgDF/Ef0FyUXKbxxLanyxdpUiUYCIWKiUuNppGK0KyLLPheBYDg1ywt2zeVtpLUdfXExIrQoIgCIJwXWq3gVB5bTk2ahsCbQMozsm+cD6oVm9g5+lcokNcKT9wAINOh+2olm2Lq6dQSDwxPJiE7BL++DO7Ubtlt254vfUfKuLiyJo3D1mWm+il+SSFguj7HkaXm8ORDb82an++//PYqG2Ys2cOekPT2a6EjqmyRk9xRQ3udhbXeiodhoe9ttGK0J/ndaQVlLd5W1y9yAAnTmWVUFDW9g9KBEEQBEEwrfYbCNWU08utF+WFBRj0+gsrQkczitFV1hId4oZuwwYU1tZYD7qp1eOM6+GJv7MV87eebjLQsRszBufHp1H802oKv2t7Zje/nr3x792HfT//QEVpSYM2J60Tz/d/nvjceJafWt7msYT2Q9QQMj1Pe8tGyRI2Hs9CIcHIrm3bFlcvUpwTEgRBEITrVrsNhOQqBeGu4RRmGc/v1NcQiknMRSHBTX72lG7egs3w4ShasS2unkqpYPqwYE5k6tie0HRhU9eZM7EZMYLst9+mdPfuVo9Vb8i9D1JVXs6BX1Y1ahsbMJYhPkP4OO5jMkoy2jxWR1VeU847B97hRP6Jaz0Vk8iqW7moP9sitJ2XvbZR+uz1x7Po5++Ei41pVt56+tijVStEYVVBEARBuA6120BIW2tNuFs4xdl1gZCHF2AMhHp3ckB1PA59cTF2o25p81i3h3vj7WDJx5dYFZIUCrzeeQeLoCDO/esZqlNS2jSeq18A3aJHELd+LcU5DbfkSZLEK1GvoJAUvLb3tTZvx+uo9mTuYenJpUxZN4XVp1df6+m0WXaJMQWzWBEyHQ97S0oqaymtqgUgKaeU0zmlrS6i2hQLlZIIX0f2icKqgiAIgnDdabeBkKZWS5AmhKLsLJRqNTaOThSUVROfUUR0iBslGzaisLLCetCgNo+lVip4fGgQcWlF7E5q+pNdpY01PgsXIEkS6TOeQF9S0uR9zXXT3fcjSQp2//BdozYPaw+ejniavef3siZ5TZvG6agOZx/GQmlBhHsEc/fMZe6euVTp2289l+xisTXO1OpTaGfVrQptPJEFwCgTBkJgTKN9KktHUbk4JyQIgiAI15N2GwiBRHqcjqKsTBzcPZEUCnaezkWWITrYkZLNm7EZOhSF1jRvHCf29cHDTsvHW09f8h6Njw/eH31EdWoqmf9+Flnf+oQGts4uRIwbz8ld28k+k9R4PqETiXCL4L8H/0teRdvTd3c0sTmx9HDpwWc3f8Y/e/yT1adX88C6BzhXeu5aT61VsnSVWKqV2GlbX+BTaMjT3lhUNbPunNCG41n07uRw4bqpRAY4IcvinJAgCIIgXG/abyCkMpCwP4ui7CzsLzof5GilJuhcIvrCQmxbWET1cixUSh6LDuTA2QL2X6YuiHVkfzxeepHSmBhyP/ywTWP2H38XlrZ2xCxd3GgLnEJSMG/gPKpqq/jP/v+0aZyOpqymjFMFp4hwj0CpUDIrYhbzh88noySDe367h13ndl3rKbZYtq4SD3vthVpZQtt52v9VVDWjsJxj54pNli3uYr06OaBRKUQabUEQBEG4zrTbQEhjrSQ3rYSiLGMNIYNBZkdiHoM6u1K66Q8kS0tsBg826ZiT+/viYmPB/K2NV2gu5jh5Mg6TJ5H/5VcU/9o4DXZzWVhZE3XnZNJPxHP2yKFG7f72/jze+3E2pW5ic+rmVo/T0RzNPYpBNhDhFnHh2tBOQ1lx6wrcrdyZvnk6C48uxCAbruEsWyZbV4mbrUidbUrudlokybgitOG4cVvc6G6mD4S0aiURvg4iYYIgCIIgXGfabSBkZ2eNQlFObXUVDh6enMzSkVdaRXSwEyWbNmMzNBqFpWm3uGjVSh4dEsCupDxi0wove6/Hiy9i1b8/5196mYpjx1o9Zq+Ro3Hw8GTH0q8xNFE7aGq3qXRx6sKb+9+kuKq41eN0JHE5cSgkBb1cezW47mvny9KxS7k18FYWHFnAE1ueaDffs6y6FSHBdDQqBS42FmQVV7LxRBZhHrb4u1ibZazIAGdOZOoorqi58s2CIAiCIFwV7TYQUigk3HyN28XsXd2JSTSmth5Qmo4+Px+7VhZRvZL7Iv1wtFIzf8ulzwoBSGo13h99iMrVlYwZT1CTndOq8ZQqNYMnTyU/I40T27c0alcr1MwbOI/CykLeO/Req8boaGKzYwl1DMVGY9OozVJlyZuD3uTlyJfZe34v9/x2DyfzT16DWTafLMtk66rwEIkSTM7LXsvRjCIOpRaaZVtcvahAZ2QZDqWI7XGCIAiCcL1ot4EQgLO3cYWkvMSKmIRcunraody5DUmrxWbIELOMaW2h4v8GB7ItIZdjGZdfTVA5OuKzYAH60lIyZs7EUNW6rGWdI2/CK6QLMUsXUZyT1ai9i3MXHur+ED8n/czezL2tGqOjqNHXEJ8bT4R7xCXvkSSJe8LuYcnoJdQaanlg/QP8fPrnqzjLlikqr6G61oCbCIRMzsNey6msEmQZxnT3NNs44b4OaJQK9l3mfKEgCIIgCFdXuw6EVOoSQOLsiWoOpxYS3dkJ3aY/sBkyBIWVVdMPHfsRDi9p07hTBvhhp1Ux/zIZ5OppQ0Pw/u87VMbHkzVnTqvq/kiSxNiZzwDw6wdvU1vdOA3vtF7T8LfzZ97eeZTXlLd4jI7iZMFJKvWVDc4HXUpP156svG0lvV17M2fPHObtnXddptjO0tUVUxWBkMnVZ4gLcLEmxL3xCqKpaNVKendyEAkTBEEQBOE60q4DoeKcLCysnUg/UYSyVmZ4bTb63DxsL1VE1WCAjS/Bb09B+sFWj2urVfPQTQH88Wc2J8/rrnz/zTfj+uQsitesJe2BKej++KPFqbXt3TwYPf1fZJ9JYvu3XzVqt1Ba8OrAVzlXeo5PjnzSor47ktjsWIDLrghdzEnrxGcjP+OR7o/wY+KPTF0/lczSTHNOscUuBEL2IlmCqdXXEhrd3cPsGfmiAp04fq6YkkpxTkgQBEEQrgftOxDKPo+TlxeyXqanrMb7yB4kCwtsooc2/cD5OCjNAiT45XGoqWj12A/fFICNhYpPtl0+g1w952nTcH/xBWoyMzk360mSR95C/qLF6Iubf1g/uG8kfW+7g6Ob1nFy1/ZG7X3c+3BP6D0s/XMp8bnxze63I4nNicXX1hcXS5dmP6NSqHiqz1N8NOwjUnWp3PPbPew5t8eMs2yZnLpAyM1WrAiZWpCrDZIE43qYb1tcvchAZwwyHEq5fKIVQRAEQRCujnYdCBVlncfVz5tiNfRFQ9nmTVgPHoTS5hKZnxLWg6SEO7+C/NOw9Y1Wj21vpWbKAD/WHTtPUk7JFe+XJAmnKVMI2vQH3vM/Ru3tTc6773J66DDOv/oqVUnNC6gGTZqCd1hXNn3xCfkZ6Y3an4p4Cndrd+bumUuN/sb65NkgG4jLiSPcLbxVzw/3Hc6KW1fgYunCtM3TWJW4ysQzbJ2sYuN2PXexNc7khoe5se2ZoXT3tjf7WBG+jqiVEvtEGm1BEARBuC6020BINhioLCtFb+vCEWUNNiUGdCUydqNGX/qhU+vAdwB0vwP6Pgx7P4W0fa2ewyODAtCqlHy6LbnZz0hKJXYjR+L33bcE/PIzdmPHULz6Z87cehtpDz9CyfbtyIZL17dRqlSMe/I5VBYW/PrBW9RUVjZot9HY8ErUKyQVJfHVscZb6Dqys8VnKaoqoo97n1b34Wfnx7KxyxjgNYB3DrxDSnGK6SbYSlm6SpytNWhU7fbX9bolSZLZUmb/naVGSS8fB/adEeeEBEEQBKG5yuPikGtrzdJ3u31nVVtjXO1IqdLyp6YWkMnyGoDNsKFNP1CYAjknIHSM8d9HvgYOneCX6VDduuQCzjYW3B/ly5oj50jJK2vx89qwMLzefJPg7dtwfeopqpKSyJj2OMljxlDw7XfoS0ubfM7WyYVxM58l/1w6m7/6tFEChiE+QxgXOI4vjn3B6cIrJ3ToKGJzWnY+6FKs1Fa8cdMbaBQa5u6Ze80Lr+boKsVqUAcRFejM8XPFlFaZ5y90QRAEQehISnfuJHXyvZRsblxCxhTabSCkrzFmTostUuHuZolz2RlyOg1CYXWZbXHwVyBkYQvjP4WCZNj6eqvn8c8hgaiVChZsb97WtqaonJxwmfYYwVs24/Xe/1A5OpH9n/+QFD2UrDf/Q3VqaqNn/Hr2ZsCdk/lz5zaObf2jUfvsfrOxVdvy6p5X0TdRiLUjis2OxUnrhK+tb5v7crVy5dl+zxKbE8uqhGu7RS5LV4m7nUiU0BFEBjqhN8gcThXnhARBEAThSvK/WgTQ7CMkLdV+A6G6JbJd2QYmaItxT91JOdZkJhU1/UDCOnANA+egv64FDIF+/4R9CyFld6vm4WarZXJ/X1bHniO9oG1pqyW1Gvtx4/BfsRz/VSuxGTGcwhUrSB49hvTHplEeG9vg/qg778GvZzhbv/6MnJQzDdoctY68EPkC8XnxfH/q+zbNq72Iy4mjj3sfk2X/mhA8gQGeA3j/8PucLz1vkj5bI1tXiYe9WBHqCPr4OaJSSKKekCAIgiBcQcXxE5Tv3w9AdVrjRQFTaL+BUE01alsHyg1KBmQcxbX4T9QaBaf2NS44SkWhMdCpXw262M2vgqMfrJkO1S3f3gbwWHQgCknis5jmnxW6EssePfD+738J3rIZl+nTqTh+nNR77yNz9mxq8/IAUCiUjJ35byxt7fj1/beoKm84/9H+o4n2iWZ+3HzSSxonVuhIssqyOFd6rtWJEpoiSRJzB85FRmbevnmtqgHVVjV6A3ml1WJrXAdhpVHR08ee/SIQEgRBEITLKli8CIWNDdoePZrcHWUKVwyEJElaLElSjiRJx5to+7ckSbIkSS51/y5JkvSxJElJkiTFS5IUcdG9UyVJOl33NfWi630kSTpW98zHUjM/zq+tqaHS0hGNUsLuwE7so/oS1Ned5MM51FT/bSvY6c0g6yF0XOOOLGxg/ALjGaLN85ozdCOe9pbc1deHVYcyyCquvPIDLaB2c8N15hMEb96E82OPUbxuPcljxlKwbBmyXo+VnT23Pjmb4txsNi78qMGbdUmSeDnqZRSSghd3vsjh7MPUGjrm2YS4nDig7eeD/s7bxpsnI55k97nd/HrmV5P23Rw5JSJjXEcTGehMfEYx5dUd83dREARBENqqOiMD3YaNONxzN9puXalJuXYrQt8AjVKxSZLUCRgJpF10eQzQue7rUWBh3b1OwFwgEugPzJUkybHumYV199Y/d5m0b3/R19Rw3mDNBMti9JmZ2I4aRViUBzVVes7E5Ta8OWEdWLuC9yWyifnfBJHT4MDncHZnc4Zv5PHoIAyybNJVoYspLC1xe/opAteswbJHd7Jff4OUiXdTcfQo3mFdGXzvg5w+sIfYdWsbPOdh7cFLkS9xPP84D254kOgfonlux3P8duY3iiovsY2wHTqcfRgrlRWhjqEm73ty2GR6u/bmnQPvkFeRZ/L+L6c+sPYQgVCHERXoTK04JyQIgiAIl1TwzRJQKnGaMgWNrx/64mL0RaZ/33rFQEiW5R1AU/lePwCeAy7eLzQe+FY22gc4SJLkCYwCNsmyXCDLciGwCRhd12Yny/Je2biU8S0woTkTN+j1pOutGJl7AlQqbEcMxyvYAVsnLQn7LjrPUVsNSZshZDQoLvNyR8wBp0DjFrmqprO1XU4nJytuD/dm+YE0ckpMuyp0MYvAADotWoT3++9Rm5dHyqTJnH9lDr1vGkpQ3yh2LFtMZuLJBs/cFnQbO+/ZyftD32e473D2n9/PCztfIHplNFPWT+GrY1+RUJBwTbZ+mUpsTiy9XHuhUqhM3rdCUjDvpnlU1lbyn/3/MXn/l5NdV0xVrAh1HH38HFEqJPaLNNqCIAiC0EhtYSFFP/2E/bhxqN3d0fj7AVCdlnaFJ1uuVWeEJEn6B3BOluWjf2vyBi4+jJJRd+1y1zOauN4sxUo7fOL3Yj1gAEpXMkgkAAAgAElEQVR7eySFRGiUB+mnCiktNG4pInUXVOkgrIltcRfTWBu3yBWlw+a5zZ1CAzOGBVOjN/DVzrOter65JEnCbuxYAtetw2nqVIpWr+bs2HEM8A7A1tmFXz98h3JdcYNnbDQ2jPQbyes3vc62u7exfNxyHu35KFX6Kj6K/Yi7fr2LW366hdf3vk5MegwVtRVmfQ2mVFxVTFJhksm3xV0s0D6Qx3s/zqbUTWxO3Wy2cf7ur0BIZI3rKGwsVHT3thcJEwRBEAShCUUrViBXVOD08EMAaPzqAiEznBNqcSAkSZIV8BIwp6nmJq7Jrbh+qbEflSTpkCRJhwB8lQY4n4ndqFsu3BMa5QEyJB6oS5qQsB5UlhAQfalu/+I3AKKmw8Gv4Mz2K9//N/4u1vyjlxdL96VSUFbd4udbSmljjfvzswlYvRpNUBAFr71Bn5wSyosKWf/Je5cszKqQFHR36c6M3jP44dYf2DpxK/MGzqObczd+O/MbT2x9gsErBjN983R+OPXDNc2Y1hxHc48iIxPhZr5ACGBqt6l0cerCG/veoLiq+MoPmECWrhKNUoGTteaqjCdcHVGBThzNKKLi7+cZBUEQBOEGZqiqomDpMqwHD0YbEgKA2scHJIlqM5wTas2KUBAQAByVJCkF8AFiJUnywLii0+mie32AzCtc92niepNkWf5CluW+siz3BRhZcR6USmxGjLhwj4ObFR6B9pzal2UMBE6tg6DhoLFq3qsb/jI4B8OamVBV0rxnLvLE8GAqavQs2nXmyjebiDY0BL+l3+H59ltYp5+jS1o2KUdj2fvDd8163tXKlTs638GHwz5k56SdfD7ycyaGTCRFl8Ib+9/glp9uYfwv43n7wNvsyNhBeU3b0oSbWmx2LCqFih6uPcw6jlqhZt7AeRRVFfHuwXfNOla97OJK3OwsTJYSXLg+RAU4U6OXiU0T54QEQRAEoV7xmjXo8/NxfuThC9cUFhaoPT2vjxUhWZaPybLsJsuyvyzL/hiDmQhZlrOAtcCUuuxxUUCxLMvngY3ALZIkOdYlSbgF2FjXViJJUlRdtrgpwJrmzMOARNfTcVhHRqJydGzQFjbAg8LzZeTGxYEuo+m02ZeisYIJC43P/fFK85+rE+xmy9junizZk0pxeU2Ln28tSZJwmDCBoPXr6DVyDF6FJez9eSUnv/ysRWd/NEoNA70GMrv/bH6//XfWTljLv/v+G08bT35K/IkZW2Zw04qbeGjDQ3wZ/yUn8k5c84KtsTmxdHXuiqXK0uxjdXHuwsPdH2ZN8hp2n2td7amWyNZVXbVECbIsY5CbXkUUTKuvvyMKCZFGWxAEQRDqyAYDBV9/g7ZrV6wiIxu0afz9rs0ZIUmSlgN7gVBJkjIkSXrkMrevA84AScCXwHQAWZYLgNeBg3Vfr9VdA3gc+KrumWRgfXMmLksK1FnnsB09qlFbcB83lCoFp7YnAhKENL7nsjr1hwEz4PDXkLSlZc9iXBUqrarl6z3mPSvUFKW9PZ5z5zLu7Q+wRcHm9b+QMGVKqyrySpJEgH0AU7tN5bObP2PX5F18ecuXTOk6hbKaMj6O+5hJv08iemU0/475N6tPr77q2+iq9FUczztu9m1xF3us12ME2Acwb+88ympaV3uqubJ1lVctUcL7h99nwpoJVOvNv63zRmerVdedExIJEwRBEAQBoHTbNqrPnsXpkYcb7YRR+/ldmxUhWZYny7LsKcuyWpZlH1mWF/2t3V+W5by6P8uyLM+QZTlIluUesiwfuui+xbIsB9d9fX3R9UOyLHeve+YJuZnLF0oZUCqxvfnmRm0WVmoCerlw+owteu8osHFrTpcNDXsJXEJg7SyobNl5kC6edozs6s7iXWcpqbx6q0IXs4uI4PZ352PQatmryyH5jjsp2bq1TX1aKC2I8ozi6T5Ps/K2lWy/eztvD36boT5DicuOY+6eudzy0y3c9vNtvLX/Lbanbzd7oHA87zg1hpqrGghZKC14beBrZJVl8eHhD802jizLZF2lQKi8ppxVias4W3yWHxN/NPt4AkQGOHEkvYjKGnFOSBAEQRDyFy1G7e2N3ajGCxgaXz8MxcXUFpp2S3mrssZdDzT6Wqz690Pl5NRke2hPNZV6K1JtJrZuALWlcYtcSSZsfKnFj88a3hldZS3f7jVPAajmcPXzZ+S0WRRo1ZwOCyBt1iyKfzVdUVBnS2fGBY7jjUFvsHniZn7+x8881+85fGx9WH16NTO3zmTQ8kF8ffzrK3fWSrHZsQCEu4WbbYym9Hbrzb1d7mVFwgoOZx82yxilVbWUV+vxsDd/xrh1Z9dRVlOGl7UXX8R/cd2dA+uIIgOcqdYbOJLecep5CYIgCEJrlMfFUREbi9PUqUiqxqVQ6jPH1Zh4e1y7DYRUtbVNRoz1fOUdWCoKOZXTpfWD+PSFgbMg7js43bKUyT187Bka6sqiXWevaQX5rkOG03PEaJKkWrZ0C2DjR+9y4qMPMJj4XI8kSQQ7BvNA1wdYePNCdk/ezaJbFhHuHs7n8Z+b7Y11bE4sQfZBOGgdzNL/5cwKn4W3jTev7nmVylrT1466mjWEViWuItghmLeHvE1+ZT7fn/re7GPe6Pr5OyFJiHpCgiAIwg2vYPFiFPb2ONx5R5PtF2oJmXh7XLsNhNQGQ5Pb4uopTq8nxCGe1MQqKkrbcOZh6AvgGgZrZ0JFyz65nTm8MwVl1SzbZ/rDXS1x8/9N5/bZcwkaOJjzzvZs2LOFz6bezbYlX3I+yTyFVDVKDf09+zMrfBZlNWWsP9uso18tojfoOZJzxKz1gy7HSm3F3AFzSdGlsPDoQpP3n1VsrIVl7kDoRP4J/sz/k4khEwl3CyfaJ5rFxxdftRThNyp7KzVhHnbsPysSJgiCIAg3rqqzZynZvAXHSZNQWFs3eY/axwcUCpOn0G63gZDCyhqVi0vTjZU6OLuDsN5aDHqZ0wdzWj+QWgsTFkBpNmx8sUWP9vFz5KZgZz7fceaangOQFAoCI/ox7snneHzRcgY6e2OXm8+R9Wv5/qVnWPzko+xa8R35GaYP2Hq59iLYIZhViatM3vfpotOU1pRe9W1xFxvgNYA7Ot/BkhNLOJF/wqR9Z9WtCJk7a9yqhFVolVpuDboVgJnhMympLmHJiSVmHVcwnhOKTSukulZk6xMEQRBuTAVLliCpVDjdf98l71FoNGZJod1+AyF7u0s3Jm8BQw0ukdE4+9iQsK+Nmcy8+8Cgp+DIMkjc2KJHZw7vTF5pFSsOXNtVoXoaGxuiPlnIiKihjIg/Q6SnP3aubhz4ZRXfPDOdb599gv2/rKI4J9sk40mSxN2hd3Mi/4TJA4X680F93PuYtN+WeqbvMzhpnZizew41BtMlx7gaW+NKq0tZd3YdowNGY6cx/k6FOoUyxn8MS08uJa8iz2xjC8bCqpU1BuIzxDkhQRAE4cZTm59P8c+/YD9hPCpX18Y3yDKk7ILaajR+pk+h3W4DIZXDZc6EJKwHSyfw6U9YlAc5qSUUZLYxe1n0bHDrCr9Mh/1fGFedmiEq0Jn+/k58FnOGqtrrIzuUpFDgMXcuHo88gvOGLQwsrubR+V8x7MHHUGm17Fq+hK9mPsLyV54lbsOvlBW1LUPHrYG3YqmyZFWCaVeFYnNicbdyx9Pa06T9tpSdxo6Xo14msTCRxccWm6zfbF0ldloVlhqlyfr8u3Vn11FRW8HEkIZJRWaEz6BaX82X8V+abWwB+gc4A7D/rDgnJAiCINx4Cpd9j1xVhdNDDzV9w7Y34ZtxkPC7sZZQaqpJj3S020AIxSWmrq8xrtqEjAKlipD+HkgKiYT9bVwVUlnAXYvBwRfWPwvvhcFvT0P2lVc5Zo4IJktXyY+HM9o2BxOSJAm3Z/6F67/+he633yh8ZS69h43k3tf/x//N/4pBk6ZQXVnB1q8/5/PHpxKzdDG1Na1b7bDV2DLafzTrzq6jtLrUJPOXZZm47Dgi3CMa5Zq/Fob7Dme0/2g+j/+c5KJkk/SZVVyJh735VoNkWWZV4ipCHUPp4dKjQZufnR8TgiewMnElmaWZZpvDjc7JWkOIu40IhARBEIQbjqGigsLvv8dm+HAsAgMb33BoMex41/jn/CTUvr4YdDr0RabbRdF+A6FLSdsHlUUQOhYAKzsNvt2cSNifjcHQxgjSrQs8ug3+uRW63Q5HvoeFA2HxaDj2I9Q2nZRhULALvTs5sHB7MjX66+ssgMuj/8Rj7hxKY2JIf/Qx9KVl2Lt5EHn73Ux99xOm/u9TukWP4NCvq/n+xafJTUtp1Th3h95NRW0Fv5/53STzzijNIKcihz5u13Zb3MVeiHwBa7U1c3bPQW+CrHzZJVVm3RZ3PO84pwpOMTFkYpPB5LRe01CgMEsiCOEvkQHOHE4poPY6+7tBEARBEMypaPVq9EVFOD/ycOPGhPXw+zPQ+RawdoXC1AsptKtTUkw2h44XCCWsA6UFBA2/cCksypOyoirOnTJRESbvPjDhU/jXSbjlDSjJgp8egQ+6wpbXoSi9we2SJDFrRDAZhRU8/M1BYtNMWwyqrRwnT8brv+9QfvgwaQ891KBYlUsnP0ZNe5IJz82hrLiIZS88xcFfV7c4/XY35250cerCysSVJlnSvFA/yP3aJUr4OyetE8/3f574vHiWnVzW5v6yi81bTPXH0z9iqbJkXOC4Jts9rD2YFDaJtclrOVN0xmzzuNH1D3CirFrP8czmbbcVBEEQhPZO1usp+GYJlr16YRnxt+y/GYdg1UPg2Qvu+hocA6AwBY2fP2DaWkIdKxCSZTj1OwRGg4XNhcv+PZ2xsFJxqq1JE/7OygkGzoSZsXD/T+DTD3a9Dx/1hOX3QtIWMBg/5R0W6sYLY8I4fq6YOxbs4b6v9rE3Od8sqatbw/622/CZP5+qhATSpkyhJvuiTHuyTFCf/kz936cEhPdlx9LFrHr9JXS5zc/GJ0kSE0MnkliYSHxefJvnG5cTh63GlmCH4Db3ZUpjA8Yy2HswC44uoFrf+rTteoNMbmmV2TLGlVSXsP7sesYGjMVGY3PJ+x7p8QhapZZPjnxilnkIEBloLAq9/4xIoy0IgiDcGEo2baImPR2nRx5uuCslPxm+vxts3eHeVcb3845+UJSKxsfbmELbhJnjOlYglHsKilIhdEyDyyq1kuA+bpyJy6W60gzFTRUKCL4ZJi+HJ4/CTU9B+n5Yegd80hf2fopUWcRj0UHsmj2cl8Z2ISGrlMlf7mPiZ3vZnpBzXQREtsOH0enTD6jJSCf1rtuo/vJ++KQfvOEG65/HysqSfzzzEqOmPUnO2WSWPPsEJ2K2NJq7obqayj//pGj1z2S/9Ta69cYaQmMDxmKlsmJlwso2z/Vw9mHC3cJRSNfXj7AkSUwKm0RZTRkHsw62up/80ir0Bhl3M50R+v3M700mSfg7J60TU7tNZVPqJpNn/ROM3Gy1BLpYi3NCgiAIwg1BlmXyFy1G7eeL7YgRfzWU5sLSO41/vn812NRlkXP0h+JzSEoJtZeXSWsJXV/vItvqVN35k5AxjZrCBnhSW2MgObYNNYWaw8EXbp4L//oT7vjKuK9x44vwXhdYMwPryiz+OSSQXbOH8dr4bmQWVfDg1wf5xye72Xgiq+3nmFqiogjOxMDuj+DHh+HjCKy33I7voAz0xUWkLjxMld4butwG+xfC4luQClPoPmwkU/47H1c/fzYs+IBfXn6Wc198Tubs5zkzfgIJEX04e8ednH/xRQqWLePc0/8i683/YIWGWwNvZWPKxjYV6yyoLCBFl0KE27UppHolkZ6RWKos2Za+rdV91NcQcre1MNW0LqhPktDFqQvdXLpd8f4pXadgb2HP/Nj5Jp+LYBQZ6MTBlAL0V/P3XxAEQRCugYpDh6g8dgznBx9EUtZlxq0uM64ElWTBvSvBOeivBxz8QNZDcYYxhbYJV4RUJuvpepCwHrwiwK5xOmX3ADvs3Sw5tTeLLgO9zD8XlQX0nGj8yjoGBxfB0RVwah3c+SXa4JuZMsCfSf18+TkugwXbk3nsu8OEutsyY3gw43p4olSYMBtaeQGcPwLnj0LmEeOfC1P+arfzAa/e0Gsylp698HvEjrSZz5K6PJtOX76BtssEapbNpPLFYVS5jKMyXybi1ClsaitINJzk3Mnj9C6pxjewMzZDh6INC8UiLAyNtzc5739AwTffUJWYyF1zp7MycSW/Jv/K/V3vb9VLicuOAyDC/foMhCyUFgzwHEBMRgwvyS+1KqtdVnFdMVUzrAjF58WTWJjInAFzmnW/jcaG/+v+f7x3+D0OZh2kn0c/k8/pRhcZ4MzyA+mcPK+ju7f9tZ6OIAiCIJhN/qLFKB0dsb/9duMFfa3xTND5I3DPMvDp2/ABR3/jP4uMCROK4+ORZdkkWYM7TiBUkgXnDsGwl5tsliSJsCgP9q89iy6vAjsXy6s3N48ecNuHMOAJWDkFlt4F0c9B9Gw0KiX39PPlzggffos/zyfbkpi1PI4PNiUyfWgQE8K9USvbsHBXXgAbnof4H/665uALnr0h/AFj8OPZG6xdGjymBfyXLSPtoYdJfeABJKUSQ5mVsVHagoWbLdZ9hzCgazd6ODuwLeYP9mdmUNmvF9H3P4xa+9cbePfnZ6PtEsb5V+ag/r8XGDkpmFWJq7ivy31X/CFu6gc9NicWjUJDN+crr2ZcK0M7DWVr+lYSChMIcwpr8fPZJVUAZjkjtCphFVYqK8YGjG32M5PCJvHdn98xP24+S0YvuS5Slnck/QPqzgmdLRCBkCAIgtBhVSUlUbp9Oy5PPIFCqzWe7//9X3B6I4x7H8KaeG/iaMwWR2EKGn8/DCUl6AsLUTk5tXk+HScQStxg/GdT38A6IZHGQCjujzR6DvfBzsUSpeoq7g50CYb/22xMBxjzDqQfgDu/AmsXVEoFE8K9+UcvLzaeyGL+1iSe/TGeDzef5vGhQdzVxwetuoWFNRPWw69PQnm+MQgLvtmYgcOqeT84Gl9f/L5fRu7776OwscUiLBRtSGcs0n9AcWgBuFvA+Mdxdgnm/rG3snvlUg799jNpx48wZsYzeHYOvdCX/fjxaAKDyJg5k0c+SeajMXoORx2mr4cx6q+pqiQ/I528tBTy0lMvfFVXVNCpa3f8ekbg3ysCR08vYrNj6eHaA41S07Lvx1U0xGcIEhLb07e3LhAqrkSpkHC2Me3WOF21jo0pG7kt6Das1dbNfk6r0vJYr8d4fd/r7Dy3kyE+Q0w6rxudl4MlnZws2X8mn0cGBVzr6QiCIAiCWeR//TWSVovjffcaL+x4F2KXwOBnoN8jTT9k5w0KFRSmovaNBqA6JVUEQg0krDeudLh1veQtds6W+Pd04fiOcxzfcQ5JIWHnrMXB3eqvLzdLHNytsLa3QDLl1rR6GiuYsAD8BsDv/4bPBsPEb8A3EgCFQmJMD09Gd/dgW0IO87cm8fIvx5m/9TQvjOnChHDvK49RUQgbXoCjy8GtG9y3yhgAtYLa3R2vd95peLFXbwgZCj9Pg8+HwG0foup5N9H3P0xgeF/WL/iA5XOeJfL2e4i64x6UKuOPmWWP7vitWM6fT81i0vYzxOa9SkZYJPkZaRRlZxk/FQBUag1OPp3w7xmOUqUm7fhRzsQaEw/YurpiZ3meLhE3UVlWitb60hnPriVnS2d6uvZke/p2pvWa1uLns3SVuNpYmHZ7JPBr8q9U6iuvmCShKbd3vp1vTnzDx7EfM8h70HWXqKK9iwxwZvNJY70zhTn+7hEEQRCEa6gmJwfd2l9xmHgXKkdHiFsG296EXpNh+CtNPlOUU866BfGMtIzCtTAFTd8pAFSnpWIV0fYSKh0jEKougzPboc+DcIUtO6P/2Z3c9BKKcsopyi6nKLuCouxyziUUUlvzV0FDlUaBvZsVDm5WOLhb1gVJVjh6WmNh2cZvmyRBxBRjcLJyCnwzFka+DlGPX5i/JEkMD3NnWKgbe5Pz+d8fCTz1wxGydZU8Fh106b4TNxpXgUpzYMhzMORZUJlh5SRkFEzbZayftPqfcHYHjPkvnbr1ZOq7n7D168/Z99NyzsYdonPkQPIz0shLS6HgXDp6uRb8PaBERo49hGd4H7oMGoarrz/Onfxw8PBAoWi4+lWUdZ6U+Dji9m/G/1Q2+rSjLFh7L57Bofj1DMe/VwQeQZ1RKFu4amZGQzsN5aPYj8gpz8HNyq1Fz2brKluVMc6gNyAppCa3rsmyzI+JP9LduTtdnLu0uG+1Qs2M3jN4fufz/JHyB6MDRjdor6muQq0xfXKHG0VkgBM/Hs4gMaeEMA+7az0dQRAEQTCpwu+WIuv1OD34ICRthl9nQeAwuO3jJt+/y7LMzh9OU5hVTrpff1yLYtB4e4NSabKECR0jEEreBrWVEHrlMw9KtQKPQHs8Ahvuw5cNMqVFVRTllFNcHyDllJOXXsKZI7nIddmcJAk8gx0I7O1KYLgrtk5tOMPh2QsejYFfpsPGFyBtL4z/FLR/vQmSJImBwS6s8HfimVVHeWv9KYoqanhuVGjDN7sVRcbsdEeWGVfFJi8HLzMXG7X3hqm/wfa3YOd7xgJYE7/Bwi2MMTP+RVCf/mz68lN2LV+CjbMLLp388OsZjksnPyoclHy/6Ake2SKjLazG59P7sAi6dIDn4OFJbw9P9rilsMJnM6v6LiL3z1OkHI1l70/L2fvj91hYW+PXvTd+vYyBkZ1Ly4IPUxvqYwyEYjJiWrwCk62rJMCl+VvXAGpr9Cx/7QBKpUSf0X4E93NHedH5siO5R0gqSmLewHkt6vdiYwLGsOj4Ij458gkj/EagVqgBSI0/wuq3X+XOF1/Dt3vPVvd/I4sKdAZg/5kCEQgJgiAIHYq+tIzCFSuwHTkSjaoAvpsCbl3gnu8u+YF9SnweaSeMNfYK9X5QmIqk0aD28qJGBEIXSVgHWnvwG9jqLiSFhK2TFlsnLZ3CGu451Nca0OVVUJRTQU6KjjNHctm16jS7Vp3G1deWwHBXAnu74uTZsjeuAFg6wKRlsGc+bH4Vsk/A3d+CR/cGt2lUCj68pzd2WhULtyejq6jhtfHdjVunTm+CtbOgNBsG/9uYiEF1lT6ZV6pgxCvgfxOsfhS+GArj/ge97yMkahAB4X3R19SitWm8hW3+mD4s9Etn1k86Uu6+B69338V2+LDLDhebE0uISyghPfoR0qMfN93zABUlOtKOHyXlaCwpR2NJ3L8bACfvTox4eBq+3Vu3LbCtghyC8LbxJia95YFQVnHlhTfGzXVqbxa63ArsXC3Z/M1J9v96lohRfoQN8EClVrIqYRU2ahtG+4++cmeXoJAUzOw9k1nbZrE2aS13hhjz/R/6bTUGfS2bFy1g6rvzUarUrR7jRuXjaImXvZYDZwuYOtD/Wk9HEARBEEym+KcfMZSU4DxxNCybaDyvft+PYGHb5P211Xp2rTqNo6c1ljZqCgrKoDYPqkqNKbRNVEuo/W/yN+iNiRI63wJK87z5UqoUOHpYE9DThch/BDJ5TiT3zYtiwO1BKJQS+9ecYfm8/Xz/6j72/pJMTqquZQVSJQlumgUP/mbc5vfVCOO+yb/PQyHxxoTuTB8axLL9aTz//S4Mv8yAZXcZV5H+b7MxKLlaQdDFgoYbt8r59IU1M4znh6pKUVtomwyCACaGTiTGJZfChS+i8fMjY8YM8hYuvOT3rsZQQ3xufKP6QZa2doQOGMyoaU/y6IJvePC9BQyd8k9kWean/8whfssGk7/c5pAkiWGdhrHv/D4qaiua/VxFtR5dZS3uLcgYZ9AbiPsjFTd/O+6fF8XY6T2xstMQ830C3728l70bEtmSvI1xgeOwUlu15uVcMLTTUHq69mTh0YVU6asoyMwg5Wgsvt17UZiZwaFff25T/zcqSZKIDHRm/9n866LAsiAIgiCYglxTQ/6SJViG98Iy7mXQV8P9P4GtxyWfif0jDV1eJUMmheDiY0OBzsp4lLwuhXZ1WppJ/l/Z/gOhjIPGrGihjYuompODuxURo/y4a3Zfpr51E0MmhWDtYEHcH2mseusQ3764h50/JHIuoRCD3nDlDsG4ojVtJ/j0gzXTYe1MqGn4BlqSJJ4bHcankYU8fXoKHPmemoFPw2M7wPsa19Wx9YApa2Doi3BsJXwRbayhdAkj/UbiYOHAD4Vb8Pt+GXa33kruRx9z7smnMJSVNbr/VP4pKmorCHe/9JY/SZJw9vGlz7jx3Pfme/j26M2mLz5h+7dfYTDoTfIyWyK6UzRV+ir2Ze5r9jPZdcVUW5I6+/ShHHR5lfQZ7YekkAjo6cKdz/XhH0/1xtHDmthfMph46AX6ZIyisqymxa/jYpIk8WT4k2SXZ7MyYSVHNv6OUqVi7Mx/E9xvAPtW/4Au18yFizuo/gFO5JVWk5zb+OdfEARBENqjwhU/UJt5Hmf/c1CUBpNXgGvoJe/X5VUQuzGV4L5u+IQ64uRlTW2NRInB1ZhC288PQ2kp+oKCNs+t/QdCp34HhdqYGvoasXG0oMdQH8Y/Fc7D/x3EiKldcPW15cSuTH75II6vZ+9m67cnSTmWh/5KQZGNmzGYGPxviP0WFo2EgjN/tVfqYO1Mxh2dgbWtA3dUv8p9Z0ahq71O/lMqlDB0NkxZC1Wl8OUI2PeZceXubyyUFowPGs+2tG0UyKV4/fcd3J57jpLNm0mZfC/V6ekN7o/NiQVotCJ0KRZW1tz+3BzCx9zG4d9/Yc27b1BdUd7219gCfdz7YKu2ZXvG9mY/k1UXCDV3RUg2yBzekIqTl3HVsp4kSXQKc2L8U73ZF7WCCucCzmwu4duX9rD35yTKddUtei0X6+/ZnyjPKL4+/CXHt28mZMBgrB0cGfbgP0GCrd980eq+b2SRF+oJ5V/jmQiCIAhC2xV8+y3Zb76JdaAtNppjcOeXxszJl7Fr1Qj2DRMAACAASURBVP+zd97hUZRdH75na8pm03snkEBCgCRAgNA70pQmRYqg2LC++qqvir13FEVUBBTp0nsLvRMCAVJI773XLfP9sRDEFEJR1G/u69prN888O/vMJtmd35xzficBQSYQMbY1ALZXSk+K9Z5QnIrK2wvgjhgm/E3Onm+DuG3g09NUI/Q3wEyjpG13V+55rAOzPunF0Nnt8WxnR+KZPLbMP8cvrx3l7O406mr0Te9EJjeluE1eDSXp8F1fuLQZEvfCN90h6heIeAbrp4/y8MQJRKUXM2nhMQoqav+y47whvr1MqXKt+sD2F+HHwZAT02DaOP9x6EU96xLWmaI5Mx/Ec+FCdDk5pIwbT8XBg/WhzzO5Z/DQeNyUA5tMLqf/jEcYMPMxks+eZvnc//6l0QqlTEmEewT70/djFFsWGayPCFm3LMUxObqA4uzK+mjQHzmde5qzwlHaP2DN/a92wTvInjM701j6yhEOrIynvKim5Qf0O54OfRr7JB26mmpChowAQOvgRPexk0g8dYzE08dvab//n/F1sMTRSs3xpNu/yiUhISEhIXG3EEWRvC+/JPe997EKcsAjLA5h2AcQOLrZ56XGFJIcXUCXe3zQ2JouCF+twS8SW9dHhIA7Uif0zxZCBQlQmNAit7i7gVItxy/UicGzgpj5SS+GPRqM1t6cw2sus+Rl01X5ypJmxIv/YFOqnL0frJwCP99n6kM0axcMehOUZgzv4Mr30zqTmF/BhAVHySxpeS3Kn47GESavgjHfQ3GKKVVu1+tQdy0q42PtQ7hLOGsT1mK4EjXS9IzAd/UqFE6OpD88m+TR91L402ISkk8T6nxr6X+dhgxnzMtvUl6Qz7JXniMrPvZOHGGL6OvZl8KaQmIKGgrBxsi9iYiQKIqc3p6C1tGc1mGNC8TV8auxUlox1HcoDh5WDHm4PVPe6EabLs5c2J/JL68dZe/SS5Tk3ly0LMg+iLAsF4ps9Jh7OtePhw0fjb2HF3t/Woiu9tZE1v9XBEEg3NdOqhOSkJCQkPjHIhoM5LzxJoXfLsAmxBb3oHPIBr0K3Zrvq2jQGTm4Mh4bZws6DvCsHzezVGKhVVEkBEBJKsqrFtpp/9+FUNxW0/1fXB90K8gVMlp1cuS+/4Qy7sXOeLazI+rKVfk9Sy5SmFXR+BNtvGDmdoh4xtQT6JEDJkOC39E3wIlfZoWTX1HL+G+PkJjfxL7uBoIAHSbAnJPQcSIc/gK+6QaX99RPGes/juyybA6lHKamUkdVWR21Vs7Yzl+CzcuvI6jV5H34IR9+WsjoHy5Rvncvou7m61x8OoQw6e1PUJqZseqtl4k9vP9OHmmT9HTviVyQE5ke2aL5OaW1WKrkWJnd2Pwj41IxeanlhA72QiZv+O9cXFPMrtRdjPAbgbnCvH7cxtmCAdPaMeXtbgT1dCP+RC6/vnGMPYsvtriGKPX8WZQlOi54l7AoZlH9uFyhZMCsxyjLz+X4utUt2pfENcJb2ZNbVkta0V+bxikhISEhIdEUujrDjcs7AGNdHZn/eZ6SlSuxD9fi4n8RYdTnpnPYG3B2Txql+dX0ur8NcsX15zR2bpYU6T1MFtpKJUoP9zuSGvfPts+O2wYuwWDjeeO5fyOcfbUMnd2e0vxqovekc+lwFrFHc/Bub0+nQV64+9tc3yNIoTZFgJqhs48dK2d3Z9qi44xfcJSlM7vS3t0aURQpza8G0XTy+1diNIocXpNAVkIJRoOIQf8AxpqxGApKMXxagVG2AwMqjAYVs/mcmON6Yjh4/U4EJzwiXqZ6WAxpkZ8wMi6bjMefQG5vj/WoUdiMuQ91mzYtXpO9hyeT3/mUjZ++x5Z5H1OUlUH3cZMbbUB6p7BWWxPqHEpkRiRPhT51w/m5ZTUtrg86tS0FSxs1bbu5Nrp9Y+JGdEZdk/bdWntzek8KIOweH87uTufcnnQy4ooZMCMQjwDbZl87avsmLKxtCIoI5tfYX3kg8IH6tEXPwGDa9erHyY1rCezdDzs3jxYdzy1RWw66GlME8l9At6t1QklFeNvfgiW/hISEhITEHaS2Ssfq90+hUMm499lQzDSNX6g1VlaS8eRTVB45glNPM+y9k2DMYgi694avUV5Uw6mtKbTq5IhXYMP2IXaully6bIdYnIogiqi8vP+f1wgZ9ZB+/G+bFtcSrB3N6T3Rn+nvR9B1pC95qWVs+DyK1e+fIuFUbsvd5q7QzsWKxeNCaVsr58tPT7D0vRP88NxBls09xrLXjxF/IudPOpKGiKLIoZXxnNubgZmlEltnC5y8tbgHuuDT1R9/v0oCzbbTSbOZzqFlGDrncMx7Ix1GO9Nnkj/9prZl4IOBdLnHh9L8agpPuKPUvk/O4z9i9vZ8zENCKPr5Z5JGjiJ5/ASKfv0VQ2lpi9ZmobVm3KvvENRnIEfXLGfLvI/R1f259VV9PPqQUJxAZkXmDefmtFAIZV8uISuhhJBBXsiVDf+VRVFkTfwaOjl2oo1t82LR0lpNxNjWjPlvGHKljA1fRHHkt8sY9I3/DZbk5pB05iQdBgzhsdAnMIgGFp673iChzwMzUarV7Fm04M9N81o5FX4aCv+SVLLWThrsLFUckwwTJCQkJCTuMqIosmfJJcoLayjJrWbjvLPUVjXMHNEXF5P64Ewqjx3DtY8M+1Z5pj5BLRBBAIfXXEYUIWJc6wbbdEYdtq6W6PQKKmotoDIflbc3utTbt9D+50aEaspANP6jhdBVzDRKugz3JWSQF3HHczi7O52dP1zAyt6MjgM8adfDFZXZ9b8q0WiK9OSllZGfWk5+mulWV2MgAjAIchKyymjXzoGIjk7EHc9hz+JLqMwV+AQ7NL6QO8iZHamc359Jp4GeRIxr7CQ8CPLDYNMzkPYDbj7d+MEtmxjXAB7r9Nh1M7sM9+WBHx+hfUEE8ScsuKgDW9cHCHj3CVzyTlK7eS25b71N3gcfYjVwANb3jcGyR3cEubzJ9SmUSoY89jR27h4cXL6EsrxcRr/wKpY2zUdBbpW+nn355NQnRKZHMqXdlGbn5pbV0MXHrtk5AKd3pGJmqSSwp1uj20/mnCSlLIV3e77b4nU6+2i5/5WuHFqTQNTONNIvFTFoZlCDZsFnd25BEAQ6DByGlZUD49qMY038GqYGTsVbaypitLSxJWLiVPYuWkDc0YO07dG7xetoMckHIWmf6XFRkqme7h+OIAh09bGTDBMkJCQkJO460XvSSY4uIGJca2ycLdi24Dybvopm1NOd6s9NdTk5pM16CF1aGh79arHyFuGBzeDWdLuT35MeW0TimTy6jvRF62B+3bZVcav44MQHfBrwLQBFei+srlpoV1ZiKCxE4XDr57X/3IhQTSlo3cG1491eyR1DoZIT1Mudya+HM+zRYDQ2ag6tSmDp/45wbEMi8SdzOLwmgfWfneGH5w6w7PVj7PrxIucjM9HVGfHv6kK/qW2Z8EoXJn/Yg7MBZszNzCJBIzL88Q7Ye2jYvjCGrISSP/U4Lh3J4tj6JPy7OtNjTENlX49jAMzYAiO/xDPnEj2qa1gTsxh93fU9VPKq8zinOor7KIEZH/Wk75QAVGZyjm3LYkOUB5eGvIXw0S9ox02g8vAR0h9+mMsDBpL3xRcYysubfHlBEOg6ehyjnnuZ/PQUlv3vOfJTk+/U23Ad3lpvfK192Z/efF2SKIrkldXipG3eMS4/vZzU84V0HOCBUt244FsdvxqtSstg78E3tValWk6/KW0Z9mgwFUW1rH7vJOcjM+qvuuhqa4jZt5M2XXtgZW/68Hmk4yOYKcx4//j7112d6ThoGE6+fkQu/YHaqjtc8yKKEPk+qK84RibuvbP7v4uEt7Ijs6SajGKpTkhCQkJC4u6QnVjK0d8SadXJkY4DPPEJdmDwQ0HkpZaz9Ztz6OoM1CYnkzJ5MvqsTDz7lWDV2hxm7mixCDLojRxcEY/WwYyQwV7146IoMv/sfN4+9jY6o47LwgWA+jqhO2Wh/c8VQrVlJpOEP7G2424hyARadXJkzAthjP1vGO7+tpzenmoSPfsz0euM+IebRM/9r3bh4S97M/6lzvSZHEBghBuOnlY4aM349eFwwrxteWblWRafTKXr9ACs7MzYMj+a/LSmBcLtkHK+gH2/xOHZzpb+09o1aud8HTIZhM2AJ04y3iaIPEMVB3/sDalH66dE5UUBpp48anMFQb3cGfdiZya9Hk6ngZ7kpZSxZ2sp28t7k/vsYize/AJ1gD+FC78nedw4auLiml1Cm649mPjmR4iikeWvvfCn2T739ezLydyTVNQ1bWZRVFlHncF4w2aqZ7anojSTE9y38dqbwupCdqftZpTfKMwULW/M+ntadXJk4tyuuLWx4cCKeLZ8c46qsjouHYqktrKSkKEj6uc6mDswJ2QOh7MOszttd/24TCZn4EOPU1lSzJHVy25pHU2SvB9SD0O//5lMRZIi7+z+7yLhvqb8aCkqJCEhISFxN6iuqGPnDzFo7NT0n9a2vpbaL8SJgTPakZlQwpZPjpL8wHTEijK8+mZj2dYdZu0Eh2Yugv+Bc/syKM6potcEfxRK04VdvVHPW8feYkH0Akb7jcbezJ70uhQstEqK9F531EL7n5saJxr/EW5xt4tLK2uGPRpMWUE1dTUGbF0tkDfiDtYYVmZKlszsypxfz/De1ljeIxZPtYr7jApWfHoa9zE+hAQ54m1ngexGgqUF5CSVsmNhDA4eGoY+EtzA8aP5xTrTZ8JqnFb2YVVdGf1+Ggqh02HQm5zOPY25wpwAu+u7ENu5WtJjTGu6jW5F2oUiLh3NJuZgNucMSpx8HsK3x3SqVy0l87H3sJs4AcuuXQGT0LyqnwWZgAAIgi09pr7C4eVfsP6jdzDrNJywMWPpFnDnCvD7evTlp5ifOJx1mCE+Qxqdcy7TVOfUnBAqya3i8pk8Qgd7o7ZovGBxQ+IG9EZ9kyYJLcXSWs2IOR05F5nB0d8SWf7WMYy163H09sW9bdB1c+8PuJ/1l9fz4YkPiXCLwEJpMudwbR1Ax4FDidq2iaA+A3DyaXVbawJM0aB975miwmEzIO8iXFgHBj3I/7kfa1dp62KFtbmSE8lFjA37E40mJCQkJCQk/oBoFNm96CLV5TrG/jeswbmGf1cXquIuc/hwHXVe4xnp8jbm7UNg8gowb3mJQWVpLSc3J+MdbI/PlYbwNfoaXjzwInvT9/JQ8EM8FfIUD+54kNSyVEJdNRSn+EJJlMlCW6GgLi3tto71n3vGIMjBp9fdXsVfxh9zJluKmVLOwqmdiUov4UJWKRcyyziWXEKXJB2xKy4z1+oCmCsIdNUS6KYlyE1Le3drWjtpULZQcAEU51SyeX40FjamE+c/1jS1BIVMwZh2k/ku+jsyu87C/eRiiF5BlLsLHRXmKLa9BLY+V27eYOMNZlpkchk+HRzw6eBAdXkd8SdyuXQkm+NHa8BzgmnnZ4Az52+4BlEcjUy5nZqzm9l56TJrh47npVGdsNe0rLlpc3R07IiN2obI9MgGQqiyVs9nu+L56XAyjlZqwryb/iA5vSMVuUJ2ncf+7zGKRtbEryHUKZRWNrcvOgSZQMf+nngE2LL5q60UpGfg3WkCep0RpepaWp5CpuCV8FeYum0qC84t4Lmw5+q3RUycRvyxw+z+8RsmvfkRguw2g9GJe0xmKcM/A6UZ+PWHM0sg8zR4hd/evv8GyGQCXXxM/YQkJCQkJCSoKYWj802tYwS5yVFYrrpyrwa5suGYQmX6+eqY0hzcw8CloykjpwlOb08l7WIRfSYH4Ohl1WB72a5dmH30H9q17s8l51EcsHyHQVOmIDO7OafTI2svYzAY6TXBVEteVlfGk3ueJCovipe6vlRfU+2j9WFf+j7s3CyJTXBHLFqPoFCgcr99C+1/rhAy05p+qRI3RCYTCPO2ve7kOjOplE1fRDFHZkZ2ey0xBRWsPJlOtc7U1FSlkBHgbEV7dy2BbtYEulrh72zVaG+bypJaNs2LRiYTGPVURyy0qlte69g2Y1l4biFrXXx4anYkZdHLiM/dymN1Rji3Cmr/4AxnYW8SRFcEkmjpgdbKBZeBjpQXOZNVrCO3uJJ2R7YSnnCCZK0riwKHU2pmhUwAR40ZLlo1zloznK3UOFuZ4ah5hpRt6yBxD8YtX3J/9BBmje3H/Z09bytyJpfJ6e3Rm8j0SPRGPQqZ6d9v18VcXt8QQ1ZpDVPCvfjv0LZYmzce6SkvqiH+WA5BfdybfJ+PZx8nvTydxzs9fstrbQx7dw02DgmUZFqQk+LM6vdOMmhm0HUfkp2cOnFf6/v4+cLPjPYbjZ+NybzAXGNF7wdmsuPbL4jZv5vgfjdXt3QdV6NB1p4QMtU05tsbEEzGCf8CIQQQ7mvH7ku5N2WnLiEhISHxL6O2Ak58B4fnQU2JKQigNAd9LRjqoLoK9HVgqL02dvX+6u2PWDpC64Gmm19/sLhm0JQRV8yJTUm06eJMUK+GZkwla9eS/dpczDy09G67GFtHb47Ed0SxMpX+U1tQEnGFrIRi4k/k0vkeH6wdLcitzOXR3Y+SUpbCR70/Yqjv0Pq53lpvimqKsPCUoTOqqcgvxQpQenv9fxZC1nd7Bf9o3FtZM3JORzbNi6b95VpeebYrcpWc5IJKU+Qoq4yYzFK2ns9h+Yn0a8+zMaedqxUBLla0ddHiZ2NO9NJ4aip13PtcCNaOt9eryMXShd7uvfkt4Tce6/QY0e1HIOZuJXT41+AaTnVpIfnpsZRmJVCbn4ysJAV1cQY2OUdxMm7AAgO+gC/QXVSwgqGct5uGOHwM2gw/wlbM57MT8Zi//T6eA/s0GfUqC3yEJS/aY2fYydCUNaz7MZnVJwfwzn0dCXTT3vLx9fXsy8bEjZzNO4u7eRBvbLzAjgu5BDhbsXZyCGHezbvFRe0yhYBDBnk1OWd1/Gps1DYM8h50y+tsjLKCfBJPHyds+L20CuvCnsUXWfPhKcJHtSJkkFf9h98zYc+wJ20P7x5/lx8H/1ifVxzUuz8x+3ZyYNliWnfuhrnVLb6PCTtNkZ+R80xXu8D0Ie4WAon7oO9Ld+Bo7z7hrUx/C8eSChndyf0ur0ZCQkJC4i9FVw2nFsHBz6CqAPyHmmpib9YkTBSviaPaMkg5BAm7IH47RC8HQWaKErUeRKVLf3YuqsHG2YK+UwIa9Fgs/OEH8j75FMvWNnh0vISs9xOEDHoa/bZUTmxKRqGU03uS/w17MxoNRg6siEdjpyZ0qDdJpUk8uutRSmtL+WbAN3R3637d/KtutDXaMgCKihVYGXSovH2oOnUaURRvuR/kP1cI3UQOokTjuPvbMuThILZ9F8PWb88zYk4HWjtpaO2kqT/xEkWRzJJqYrPLicstJzannNjsMvbF5YNBZFyFCneDjFOeCmKPJRGQYkVbVy1tXaxwslI3+4epNxiprDVQXqujolZPZa2e8ho93qr+RNZE8uqOFaRVJCAg5711lWQW7aag4mq/H0fAEbWiGx625ng6WeBloybAshw/RQEeYh5OxaeYFrOK6bpT0OEdmPIgtRP6kfHUk9Q+O4fSp5/G/uGHGk3T0tqb4xfWkezLrrQOjUY4tI+CkxlMSRnAmD4deXaQPxr1zf/79HDrgVKm5OvjGzh5ugCDKPLi0LY81Mv3hqmIVWV1XDyURUA3F6zsGo8QFFQXsC9tH5PbTUYtv7MR0+hdW0GEToOHY+1kx8TXwtm3LJaj6xJJu1DIgBmBWNmZYWdmx9OhT/P2sbfZmryV4a2GAyDIZAyY9Tg/v/gUB5cvYfDsJwEw1tSQPG4cthMnYfdA89bipmjQu6YoYKfJ12/z6weHvjClD/wLLpQEumrRqBUcTy6ShJCEhITE/xf0dRC1FA58AuXZ0Kov9HsVPLvc2v4EwZRBpVCbsqk6TjTdjAbIPAOXd0HCLoz7PmRnkTk6fRtGt9+DKj7dFC2ytEeXm0vB/G8oWbUKbaAVbkEXEYa8CRFPgyDQ+R4f9HUGzuxIQ66UETGudbPnfzEHMinMrGToI+25WBrDE3ueQC7I+WnoTwTaBzaY76P1AaDQPAuwoEjvgXdpOipvb8SqKgwFBSgcb62m+58rhCTuCL4dHRkwrS27F19i148XGfJwELLfnZALgoCHrQUethYMDHSuH6+u07Pp2/PkXyqmKtQGFHoOJxbwW9S1hqG2FkoCXKzQqJVU1OqorDVQcUXsVNTqqNE11TBWgWVrGzYm/YYg06NSeqBRWTCwnQWedhZ42JrjYWuBp505jprmxNZs6PYIbP0P/PYQnF6M+p6P8V25kuzX5pL/+edUR0fj9sH7yLUNoxPBfTxIji7Ar+sUWoV1YdfCr5mStZo927PYHJ3J3JHtuSfY5aauQiTn6VHUteZk7iHCfEbyzuj2eNm3LIoWvScdg95I6BDvJuesv7wevahnnP+4Fq+pJejr6ji/Zwetwrpi7WT6OzDTKBk6uz2XjmRzcFUCK985waCZQXi3t2dsm7GsS1jHJ6c+obdHb6xUpvQ5Ry8fQu8ZzenN62jfdxBu/m0pXb+eusuJlKxZc2MhFLsFsqNh9DemfOjf49cfDn5qutrVdvgdPf67gUIuo7OPLceTpDohCQkJiX89Bj2cWwH7P4SSNPDsBmO+B98/qR5eJjeJK88u0O9/nFgdQ9aePAYEHcU+ey0kfU9tmYLCNB9KL9WACHZhlji1TkAY/TWETq3flSAIdLvXD12dkeg96SjVcsJHNV6jXFVWx/GNyXgG2pHhcInndzyPo4Uj3w38Dk9t47XPHlYeyAQZGbpUzC3bUaz3vGKhfcU5LjVVEkISt05AN1dqKvUcWp3AvmVx9J/attmTe1EUObk2kfxLxUSMa02ngdfStIor64jNKScup4y43HIuZZdTWl2NlVqBg0aFj4MlGrUCKzMFGvXvbmbX7q3UCjakpLIk9jsUgoIp7abwfJdut3ZwHmHw0B44sxT2vAkLeiILfwS3d1/DPCSE3A8/JHnceDy+modZwPWudB5tbbFxtuB8ZAbjXuyNm39bts3/jIEX95FrzOK5n8tY2c6Tt0YF4ePQfIHg780QrJ0Dkdmu5Y3RDnjZtEwE1VTqOL8/g9ahTtg4N/6can01q+JW0cWlC77Wvi17f1pI3NGDVJeXXWeZDaYPv8AIN9z9bdi+MIbN86Ppfp8fIYO8eLXbq0zaMolvzn7Di11frH9Oj3GTiDtygN0/fsOUtz+hcNFPIJdTGxtLXXo6Ks/GPwgxGk19g+xaQYf7G2736ApKS1N63L9ACIHJRjsyLp/88locraSaSAkJCYl/HUYjXPjN9P1WeBlcO8Hwz6H1gL+sRUxqTCGn9+QRGOFK26mvUB09nMKvP6P80EkEeRW2rSqxC6hAZa2A8b80+h0rCAK9xrfBUGfg1NYU5EoZnYf5NJh3dH0i+joDdd3SeHrfXPxt/flm4Dc4mDfdFFUlV+Fm6UZqaSo9nEMpSve8YqE9ADAJIYvOnW/p2CUhJAFAxwGe1FTpOLUlBTMLBT3GNh3WPLMjlfP7M+k00PM6EQRga6miu5893f3sb2s9063u55e4H9CLekKcW9aUq0lkcuj8IASOhj1vwbFvEc6vwW7wO5gtXULmM8+Scv9EXN54HZt7761/miATaN/HnUOrEshLLcPJ24nxr73LyY2/cWTVLzxSk8vWi/0YnFTIE31b80ifVpgpGzY3/aMZwrRe7Rm3ZS0HMg602NUtZn8GuhoDYcOajgZ9HfU12ZXZvBPxzs2/R80giiJR2zdh7+GFV/vGc5OtHS0Y83wYe5Zc4uhviRRmVNDvgbZMCJjAr7G/Mrr1aNratQVAZW5B32kPs/mLDzj+1WfYpqXh9N//kvfRR5Tv2o39zAcbX8iljZAbA/ctbNwiW6ECn4h/XWNVgJMpRdwT7HqXVyMhISEhcbtkJZRQUVKDi68Wq7w9CJHvmVpAOAXC/ctMIuMv7JFZXlTDrp8uYO+hIdS7iNQHH6Tq6DFkWi32jzyC3dSpKMww9e5zDADnoCb3JcgE+kxpi15n5PiGJJQq+XUOtzlJpcQeyUYRWsqbl+bSzbUbX/T7Akvljd3mvK29SSlLYYSnLbHJnojFp1B2cjNZaKfeuoW2JIQk6uk6wpfaSj1nd6djplESNtSnwZxLR7I4tj4J/67O9BjT8oZZN4ujhSP9PPuxO203IU63KYSuYmEHI7+A0Gmw9XlYNxsLrx74LniXzA++J/ull6mOjsb55ZeRqUxF+G27u3JsQxLnIzMYMD0QmUxO+L3j8ekQwpZ5HzMsYz0lfj34cpeO9WczeWt0EL3amMKzOaU1vLHxAtsv5DQwQwiwDWBf+j5mtJ9xw2Xrag1E78nAO9geB4+GNpYA0fnR/HzxZyb4T6Cra9c7835dITshltykywyY9XizkUKlWs6Qh4M4vU3D8Y1JlORWMXPmI+xK3cU7x95h6bClyART2qV/twi8O4Rw8vghBvr6YDd9GqWbNlG+uwkhZDSYrpY5+ENwM2l/fv1NZgolaaYmq/9wgt2tMVfKOZ5UKAkhCQkJib8DNWWw9x2Tg5tKAypLUFuZ7hv9WQNqDdV1Kg5tyCb+RG79rixlNbhoJuDaoTUuPXrh4K1F/heKIIPeyI7vz2Os1dH+3BKyfjmCwtERpxdewOb+Ccg1mmuT249p0T5lMoEB09th0Bk5tDoBuVJG+97uGI0i+5fHYbSoY4HiHYb5DOPdnu+i/GOaexP4aH2Iyo3C1l2DTrSgIicfK4UClYfHbTnHSUJIoh5BEOg1oQ21VTqOrU9CbaGkfe9rRdop5wvY90scnu1s6T+t5RaJt8oLXV5gqO9Q7Myad1K7adxDYdZuiPoZdr+BYvUovCbMIj/wAQoX/0LNhYt4fPE5Sjc31OYKAsJdiD2aTcTYNphpTP+wzq1aM/WD0j6fKAAAIABJREFUL4n8+QfO7d7OC67pbK0ewNQfTzCigysdPWz4ck8CeqOxUTOEPp59+OH8D5TUlGBjZtPsci8czKSmUteoMAWoNdQy9/BcnC2deTbs2Tv2Nl0lavtmVOYWBPbud8O5wpWiSXt3S3Ytusj2T+N4YvjzvJ3yPzZc3sB9be6rn9e9U1dWnT1DfFBrguRyrAYNpOCrr9Hn5zfM9b2wDvJjYdwiU4SvKVpdWWPiPgib3qLjM1RUItfcXO+DvwqlXEaYty3Hk4vu9lIkJCQkJKqL4ZexkHUWrD2grhLqKkBf0+RTRBESanpxsGwWdaIlna020kp1mBxFN7KtRpBT1JXEQ7Vw6AwKpQwnHy2ufta4+Fnj0soaM8uWCYWbxVhXx76Pd5Gbbk77Cz9iblGE3dtvYT16dP3F4FtFJpcxaFYQ+u/Os395HAqVjNoaHQXpFexp8ysT20/ghS4v1F8cbY6irAyitm/GI9iJKn0Vcns9AMW5NVgBKm/vP1cICYKwCBgB5Imi2P7K2MfASKAOSAQeFEWx5Mq2l4FZgAF4ShTFHVfGhwJfAnLgB1EUP7gy7gusAOwwtb2cKopiI6bnEn8Fgkyg//R21Fbr2b88DrWFgjadnclJKmXHwhgcPDQMfSQYueI2G2K2ADeNG26ahh72dwSZzHSi3G4k7H0b4dT3OFk6YPbcFLK/20LymLE4/+9lrIYOJbiPOxcOZHLxSBahg6+lpinNzBj08Bx8O3Vm53fzGFi4jP5dRvHtBYHN57Lp7e/YpBlCP89+LDy3kIOZBxnpN7LJZRp0Rs7uSsPd3wZXv8ad0L6L/o6k0iS+HfgtGpWm0Tm3SkVxEfHHDtFp8HBUZi1v6uvb0ZGxL4ax9dvzFK7SMDh4Ap+f/pz+Xv2xVpuOQ7/mN1pX1hGfnkxaTDROAwdSMO8ryvfsxXbi72qAjAaI/AAc20Hgfc2/sGMAWLma+gm1QAiV79lDxhNzsBk/Dqf//Ae5TfOi9G4Q7mvHp7viKa6sw9by9r6cALJLq5m1+BQzInyY0LmJeiwJCQkJieupLISfR0N+HNz/8/V1Mga9SRDVVZjEUa3pcXlBJft3C6TmqnF2qKJf2AXszbXg+DSOHScTfKUFREVxLTlJpWQnlpCTWMqZnWmIRhEAW1dLXP2scXZVoj6xDY7sRGFtjdzeHoW9PXIHexR29igc7OvHFPb2yCwbv8BnqKigZOUqLq09TpzX/XhXnSPk1RlYDRyAIG/mQuNNIlfIGDq7PVvmn2Pvkkvo5TpytCmMGNSHWcEzb2yxbTRwZutGDq/4Gb2uDi9FXwBKLPMAKCpS4IWpl1DlyZO3bKHdkojQYuBrYOnvxnYBL4uiqBcE4UPgZeBFQRACgYlAEOAG7BYEwf/Kc+YDg4AM4KQgCBtFUbwIfAh8LoriCkEQFmASUd/e9JFI3DHkchlDH27Pxnln2b3oIjUVOk5sSsbCRs2IOR1Rmf2LAokWdjDic1O63Jbn0WZ+gXpiGJmRKrL++yLy9z/Aesx9uHpFELM/k04DvRo0VW3dpRsurf3Z8e0XpBxewxvtQ3EaPo0BIX5N/lMG2gfiYO5AZHpks0Io9lg2laV1DJje0E4S4GLhRRbFLGK032h6uve89fehCc7t3o7RYKDTkJs3H7B30zD+pc7s/CEG49kIqlyMfHlqHnMjXqP6fAxVR4/R9blnyY05we4fv2XaR/NQeXtTvmvX9ULo/BooTIAJS5vthA2Y8qr9+ps6bxsNzUePgOKVK5FZWFDy2zrK9+7D+aWX0I4Yfsv9CP4MwluZ6u1OpBQxJMjltvalNxh58tcoLmaX8cq68/g5aq5rtCwhISEh0QjlubB0NBQnw8Tl0Gbg9dvlCjC3Md0A0Shyfn8mx9YnIooiPcf7EdzPo8mm7BpbNa3DnGgd5gSYUuLzUsrITiwlK76QhCPpXDTKgUBUbr44GHKwzUrA+sxR1PnJNLZXwdzcJJTs7VDYO6CwtweFnLItW6moU3Eh/BUcHASGvv4kikbqm+8EcoUMi+FF5GdnYFfmRsh9rozvMOqGzyvOzmT7t1+SFXeRVmFdKcnOouZyFvhBlj4NczMriqrtoLa83kJbn5+P0snpptd4wzNaURQPCILg84exnb/78RhwNWl/NLBCFMVaIFkQhMvA1YKFy6IoJgEIgrACGC0IwiWgP3C1IcgS4A0kIXTXUajkDH+iI+s/O8OBFfGYWykZ9VRHLLS3f0X6b4lbCMzaBWeXod79Or5diqns1Y+SOAVFi5dgbxdFdtBDxP68m3aT+yIorw9Va2ztGPPSG0Tt2MyBZT+RHfMMF1RqzCwtUVtqUFtYora0RG1hiZlGg9pCw8D8AGIST3FJfQALjRazK/PMtdaoLSwwGoyc2ZGKk7cVHu0anqzqDDpeO/wadmZ2vNDlhTv+lhj0Os7t3oZvpzBsXW+tj42ZpZIRczpy5LdE2NOLzA3xRHmew/GHRcisrHCYPJn+CSGs++BNdi6YR8cB/Shb+guGsjKTpblBD/s/AOdgaNu0YLyOVv3g7DKTzbZ7aJPT9AUFlB85jn7Ck7QZF0HuG2+Q9cILlK5fj8vrc1F5/T1qjDp6WqNWyDiedPtC6JOd8ZxKLebt0UF8fzCZx5edZvOTvSRHOgkJCYmmKM2EpaOgLBsmr4JWfZqdXpRVyb5fLpGTVIZnoB19JwegdWh5RgWYam5dvc0xO7we7crvaV1cAgPvpa7vOPLLnMmMsyZL4Qv2g9HYqnHzNsfF0YiTZSXq6mIMhQXoCwrRFxZiKCxEl5lJ9blzGMvKMO87gCjtvcirYNizXf40EZRVkcV7x99jf8Z+Arq15YWglwn3b/o7GUA0GjmzbROHVixFrlQw9PFnCezdnwPLfuLM1o2Y+6pJLUvFzyGYolyvKxbaPgDoUlP/HCHUAmYCK688dsckjK6ScWUMIP0P4+GAPVAiiqK+kfkNEARhNjAbwOtvcpLyb0ZtrmDkk504uj6RDn09sHZsmdXzPxaZzOSL324Ewv6P0UT/isa7GJ2nLfYllSRUlhG9JQPFD29hM24ctuPGoXS/9ucqyGSEDhuFd3AnEk4cpbaqkpqKCmqrKqitrKSqtITirExqKk0/m4lGOmPF1rMfXbcMQZAx8a2PqCixoayghohxbRqNUPwY8yPxxfHM6zevPt3sThJ//AiVJcWEDG2hAGkCmVxGz/Ft0LgoOPCrnshPE+l5OAbvSRORazS0CulC93GTOLZ2JZnW1gSqFVRERmI9ahScWwlFSTDx1xtHg67Sqq/pPmlfs0KobMsW0l37kJjViqo4Fd2W/0rx8hXkf/45SSNH4fDEE9g/OKOB6P2rUSvkhHjZcCLl9voJ7YvNY8H+RCaHezG1uw9h3naM+fYwc349w7KHwlHcoKGvhISExP87ilNhyUioKoKpv4FX0608DHrTxctT21JQquUMnNEO//Cb6zUIINbVUfLbbxR88y36vDwsIyJwfOZpzIODr80RRUpyq8iMKyYjrpi0uBLiz+oAsHF2wT2gHR6DbHH3t8Hc6voL2JHLYik8mMXwxzugtb85gdYSdEYdP1/8mQXRCwB4vvPzTGk3BYWseclRnJPFjm+/JDP2Aq1CuzDo4Tlo7EwZET4dQjm16Tfa17iTWpZKF5dw4jI9EItSUHmb3GzrUlOx6HLzTWdvSwgJgvAKoAeWXR1qZJoINPYNKzYzv1FEUVwILATo3Llzk/Mk7hwWWhUDprW728v4azG3haHvwcA3IGkfyvNrcIrdQociJ04qJ2EQnShc8B2FC75D07s3NhPvR9O7d31urb2HF/YezQt1URQpqyhm1IphDHUdyFS/SdRUVlJbWcHenxYQvWsrJYUR2Lpa4tuhobd+QnEC3537jmG+w+jndWMTg1shavsmbFxc8enY/BWcltKply/Jsjgyl8CpkP9g07kNV6/d9Bg/Be/gELbN/4xjfm6UrFvJkMEDUez/EFw7QsA9LX8hjaMpgpS4D3r9p8lpJRs3ke09GZlc4MyOVBw8NbR5YApWgwaS++575H/2GWWbNuHy1ptYhNwh58JbpKuvPV/vTaCsRofW7OaFWVZJNc+tOks7Vy1zR5jSLAPdtLw/JphnV0bzwbZYXh3RePqlhISExP9LChNhyShT3c/0DeAe1uTUnKRS9v0SS1FWJW26ONNzfJubzqARDQZKN22i4Ov56DIyMA8Nxe2Tj7Hs2tAJVhAEbF0ssXWxpH0fD0SjSGFWBRmxxWTGFRN/IocLB0wN7u3dNXgE2OLR1pbK0louHMwidIgXPo2cW9wuUXlRvHX0LS6XXKa/Z39e6voSrprmHU9Fo5GoHVs4+Oti5AoFQx57hqA+A64TkO5tA1EoVXgVmhNVloqdtxN1p+qozErAsu9QUCpv2TDhloWQIAjTMZkoDBBF8aooyQB+X33rAWRdedzYeAFgIwiC4kpU6PfzJSTuLgoV+A8x3eoqCYrawenFBgq9vAn32UdxtjslUSeo2L8fhasrNuPHYTN2HErnG4dmBUHA2sqODq26Ell8ipfavlP/T58Ze4GLByNRWAYyaGanBu58eqOe1w6/hlal5eWuL/8ph56bdJns+Fj6TnsYoaWRmBYwonUo0SdHc7zzbHYuV1NSIafzMB8EmYB720CmfTSPbc8+QWxxPgX/eYh7rPJxnPnxzfdU8OsHx741Fa2qGhaM1iYmkpNZR5WjDf0mBxB7NJu9Sy5h42SBo5czHvO+pHzvPnLefpvUyVOwuX8CTs89Z0rXuwt087VjnginUoro39b5pp6rMxh5cnkUdXoj8yeHXNfr6r4QD6LTS/nhUDIdPW0Y2fFPMieRkJCQ+CeRF2tKhzPqYcZmcAludFpdjZ7jG5I4F5mBxkbN8Cc64BN8cwJDNBop37mL/K++oi4xEXVgOzwXfodlr14tjiYJMgEHDyscPKzoNNALo8FIXlq5KWIUW0zMwUyi95oSs1xbWxM+qmU9DFtKaW0pn5/+nLUJa3GxdGFev3ktukhbkpvDjgVfkHExBp9OYQye/SRW9g3fP4VKhXu7IPRZ8aR5p2Hd1g7IoCijFE29hfat9RK6pTOcKw5wLwKjRFGs+t2mjcBEQRDUV9zg2gAngJNAG0EQfAVBUGEyVNh4RUDt41qN0XRgwy0diYTEn4nKEsvwMfiFuXLJMBrGfoHTIB/aDE3CPaIItbKAgnlfcbl/PzKefJLK4ydatNu+nn3Jqswivji+fiyo7yAMujpUqmTadG4oqpZeXMqFwgu8HP4ytmZ/TqF71PZNKNVmtO838MaTb4LiX37GsraMLYFfU+WbzYlNyWz/Poa6GlN2rMrcgoEzHiEsKZvKoiKWpYRy4lI5RqPh5l7Irx8YdZB6pNHNpRs2kuXWE5WZHP8uzgydHYyZRsnWBeeoLjeZVlr174ff5k3YTZtGyarVJA4fTtm2bVy77vPXEeJli1IucDzp5m20P9kZx+nUYt4f24FWjg1dBf93Tzs6e9vy3zXniMspvxPLlZCQkPjnknMeFl/JQpixtUkRlHqhkOVvHedcZAbBfTyY9Hr4TYkgURSpOHCAlHHjyXzmGQDcv/gC3zVrTFkmt2HaI5PLcPG1JmyoD6OfCeGhz3px73MhdB/jx9DZwcjuUCq0KIpsTNzIyHUjWX95PTOCZrBh9IYbiiBTFGgzS1+YQ15yEoMffYoxL73RqAi6ineHECioRFUlUmtTAUBRnun7+nYstG/4TgiCsBw4CgQIgpAhCMIsTC5yVsAuQRDOXnF7QxTFC8Aq4CKwHXhCFEXDlWjPHGAHcAlYdWUumATVc1eMFeyBH2/pSCQk/gKC+3pQV2MgXjcApm9CeP4S2odex2ucPX7Dc7FrU0bVob2kTZ9OxpNPoctqPsDZ26M3APsz9tePGYxOCDJb5PK4Bh9WyaXJzI+azwCvAQzxHnLnDxCoKisl9sgBAnv3R21x5/rrGMrLKV6+AqvBgxnceypLnT/AZ4g5yWfz+e3j05QXmfowWHTujJtoZGhJPL7t2nDw18WsevN/lObltPzFvLqDXA2JextsEo1G8rfuJt8xhIBurihUciy0KoY9Gkx1uY7tC2MwGIwAyCwtcX75JXxWrULp6ETms8+R/uij1GVk3pH3pKWYq+R09LDh2E32E9obm8t3+5OYEu7FqCaiPSqFjG+mhKIxU/DoL6cpq9HdiSVLSEhI/PPIPA2LR4DCHB7cBk5tG0wpL6ph548X2PxVNEqVnDHPh9F7ov9NOepWnTxJ6gNTSZ/9CIayMlw/eJ9WGzegHTrkjmZhXEWhlOPub0voYO87ZnqVVJrErJ2zeOXQK3hpvVg5YiX/6fwfLJTN15OX5uWw+u1X2LtoAW4B7Zj+yXyC+w2+ofDzDu4EgGuBGTmGDMyV1RQVm1LFVd5e1KWl3dKFypa4xk1qZLhJsSKK4rvAu42MbwW2NjKexDVnOQmJvzUuftbYe2g4H5lJYE83BK0rdH8cuj+OqjAR55i1OEatouhINgWRe6g4dBCHRx/D7sEZjTYoc7RwJNghmMj0SGZ3mA3Ame2pmFl3pCQ7kqKsTOzcTIYMBqOBuYfnYqYw45XwV/40i+fze3Zg0OkIGTriju63eMUKjBUV2D/0ELMDfNmavJUf5R/z6RML2PX9JQ6tSmDYo8EIoh6NWw3lqWaMfOlDLh07xN6fvmPJC0/Sb8bDtO876MbHrjQH7x6mOqE/UHXyFJl4YxTkBPa8Jg6cvLX0e6Atu3+6yOFVCfSeFFC/zbx9ED6rVlK8bBl5X84jaeRIHOfMwW7a1L/MTCG8lR0L9idRUatHo77xF25mSTXPrYom0FXLazeo/3HSmvHNlFAmLTzGcyujWTg1rEmbVwkJCYl/JWnHYNl4U53w9E1g633d5ppKHWe2p3JubxqiwUAb3XlaX46m9jU9KUYjotEIV25i/b0BjCIYDKaTdIMBUa9Hn5uLwtERl9fnYjN2LMJtNjD9KygvLKAkNxtUctalbeLXpFXIzdXM7T6XsW3G3rA5qmg0Er17Owd+WYQgExg0+0mC+99YAF3F0csHM601bgWVpJalYmdtRnGZNYgiSm9vxOpq9Hn5LSpP+D3/ooYwEhJ/PoIgENzHnchlcWQnluLW+ncNOO39oM9/kfV6HoegN7He+RW58X7kf/45pevW4fzqq2h6RjTYZx+PPnx99msKqgsojxfJjCuh8z1DOLz8ABf276bXJFNj0BVxKzibf5Z3e76Lo4Xjn3J8RoOB6F3b8Grf8YaGDze139paipYuxbJHd8zbBwHwYpcXeSbyGQ4K2+nQP4LT21MpyavCJvlnrJwLKY23p+rUKYL6DMAzMJjt33zOzgXzSDx1nEEPz8HS5gZpgX79YNdck+Wp9lqxZsmGDWS59cTJS4ODx/WpYgHhLhRkVHB2VxoOnlbXCSVBocBu+nSsBg8m5+13yPv4Y0pXLsFpbFcsu3UxiWIrV7ByAfWdbWwLEO5rz/x9iZxJLaa3f/O/f53ByJO/nkFvEJk/JfS6uqCm6OJjxyvD2/Hmpot8E3mZOf3b3KmlS0hISPy9ST4Iv95v+q6YthGsrznC6usMnNuXwentKdRV63HNPUmr/H3Y+jiZ3EyVKgRBZnosl9U/FuQyEBofM2vXFpv770dmZnYXD7rlJJ4+zpYvP0ZXW1M/Nh7T92rmtl9ZYL4etbkFKnML1BYWqCxMj1XmFqjNzVFZWJJ2/ixpMdF4BXdiyKNPoXW4OcEiyGT4dAih5GQxKSXJ9HQIIr7QHbE8F5W3SbTWpaZIQkhC4s/Gv6sLR9clcj4y43ohdBWZDAa9idK+NR6bn6EiwIecM3WkP/QQVkOG4PzSiyhdr52Y9/Xsy9dnv2b3mUOUrbLF0cuKsKGBZF0K4+L+PUTc/wCZlVl8eeZLern3YmSr27OzbhJdNZePHaK8MJ9+D86+o7su3bABQ34B9h9+WD/W36s/Pd178k30N6zqP4CoXQLRu5Lpk/0pll3CEE7nUr57N5qICLSOTox/7V3ObNvIweVLWPLCHAbNnkObLt2bftFWV3KUkyKhkymwbaypIeNwHJXtBtC1t0ejT+t+nx+FmRXsXx5X39H79yhdXfH8Zj7Fv3zFhpXrsFh9jPZLNuLephStVzWCHFBZmQSRlcs1cWTlClbO1/+sbLl1aai3LXKZwPHkwhsKoY93xHEmrYSvJoXg69Dy9MYZPXw4m17Cp7viCfawoc8NXkdCQkLiH8/l3bBiCtj6wrQNps9pwGgwEnsshxObkqksqcWxOgnfmOW49Q3B+YdfTQ1K/+WIosjpLevZ/8si6hxURPrk4qZ25j6vUXiqXamtqqKu2nS79riasvw801h1NXVVlRgNBlTm5gx6eA7BA4bcckaLT4cQYg9FkpKSiJ1bOHWxcirTk+t7CdWlpjbqstcckhCSkLhJlGo5bbu7cn5fBpWltVhaN9GMMnQq2HqjWfkArfqXUCSbRMGKLVQcOIDD449hP306gkqFv60/Pgo/ctYqsDGTc89jHVCo5AT1HUjSmZOknD3Du/kLkAty5nafe2dT4vS1cHkPxKyFuG1EJbdD6+CFX9idy1YVDQaKflyEWWAgFt2vCRdBEPhf1/9x74Z7+TruS4aGP0jskUy62ldhPu4VNBfWULF7D+JrryHIZAgyGWHD78W7Qwhbv/6UjZ+8S1CfgfSbMRu1RSM5yc7twdLRVCd0RQhV7NtHhk0ICgW0bsSIAkAmExg8K4g1H5xi23fnmfByZzS2Da/a5WQfoNDCgkILyLbT4pdUROsEA479A7HpYI9cXwDlOZB+3HRvqG34YkH3wfjFLXofNWoF7d2tb2iYsPtiLgsPJPFAN6+bdoETBIH3xwQTl1PO0yui2DSnJ552//L+YRISEncHowGyosDGCzQ33wjzjhC7BVbPAMcAmLoBLO0RRZHk6AKOrU+kOKcKO2UZ/lE/4mRZhcvnr6Pp3fvurPUvRq+rY/nXb5F37CwpLpWcDatlSsdZzGw/E5W85al8oihi0OlAEFDcZir51TqhuqQc7AY5AwUUJefgOawrglKJ7hYMEyQhJCFxC7Tv4070nnQuHsqiy3Dfpif69oaH9iBbNh6HsoVoP32X3HXR5H/6GaW/rcNl7muoO3dlYNyDUKNgwBNt0diahJVfWFfMrbTs2LyYE94neL3767hYutz+4g06SNoPF36DS5uhthTM7ch36E3GuQp6hbkhk925TtPlu3ZTl5qK++efNRBxnlpPZgXP4tvob3FwcsLSEMo69Uxaq1XYRnRAv2MH1WejsQi91sfHwdObKe9+ytE1yzmxfg3pF89xz5zncW/7hzoYmczUXDUpEkQRBIGCDVvJcx5B23DXZgtbzSyVDHssmLUfnmbbgvPc93zo9d2382I5dzEHa60T973xBQeW/UTc6ROkCzICdsXgtg1sJ0zAbtoHpuifKEJ1sUkQlWeb7i9thIsbTY36LOxa9F5287Vj0eFkqusMmKsa/o4yS6r5z+pogty0vDq88bogo8HAviUL8e/WE8/Ahm5IFioF300NY+RXh3jk59P89niPFqXWSUhISNwQUYSsM3B+jekCXEWuKX3MOwICR0O7UfURmT+dC+tg7UOmXnUPrAVzW7ISSji67jI5SWVoNSId01Zil3IY+2nTcHxyDjJLS0RR5HDWYUprS9EoNWhUmuvuLZWWN2we+nfGYDSwLXYTJxYswjrXSEJbHeHjpvF+wHg0qptP+xYEAcUdqoHS2NkjOGjQZOVj4esCFFCcWYaXXI7S0/OWLLT/ub8pCYm7iI2TBV5BdsQcyCR0qDfy5qwoHdrAQ3tg5QOoDj6P5/hXqBj3LTnvvU/qgzNJGPASCoMnO/0X0Ulljid9AJArlHiFd+Xi3l306NSFsW3G3vqCjQZIPWz64rm4EaqLQK2FdiMhaAy06sPphfNRyHYRXBdZLxxuF1EUKfzhB5ReXlgNHtzonFnBszide5rlOT8zyEZNdXYYH21/BFWdjh//j73zDq+iTP/3fXpLTpKT3iupJJSEGlroRaoiiNjb6qqra9ddy6prw1107QoKKk2KgPQOAQIESEhPSO+9npOc/vvjIEUSCIjf1f2d+7rmmuHMzDvvScjMfN73eT6PED7+8A52TPPCTeGGq8LVtpa74trPlSCv2VSv2cuGd//BQ59+g0T2i5mbkCTI+AFqszBJfSg8a8QSJiF6pG+3fbkYVx8Hxt8TzbbPMtj/fR7j7oo6L+Qat71Phc6JkXNn4urrz+xnX6Y0I439y7/itNVCuVRB+JpVNH37LeqpU3C95x7kUVE2weN5TqC49YH87bYZq9hbrtCTCwwJ0fD5wSJOlzUzPOxSm1GDycKjK05htlj5eEHPeUEVOVmk7dhC9sF9LHhjUbe5YIGuKhbP78+936Ty0oZMFs2N+83MOezYsfP/AfX5kLnWdj9uKgKRFPpMtImfxrM2UbL1adj6DASN+G1EkckA1Wm2sgqlR+DsLvAfAgvW0NgoJOXHdEoyGlE6iuknOIXLlq9RREbgvXo1iti+55tZnr2cRamLrngphViBo8QRlVSFo8QRB6lNIDlKHVFJVERqIpkYOBG5+PeTI6Q369l4diNrUpYRvd+EY5cEt5tH8tjNT17TDNBvjUtkKKYj7dRa6pEL22mqP1d+4zottO1CyI6d6yR2tB9bPjlDcVoDYfFXmdZXucKdP8Lmv8C+N3GIm0fIhh9Ifm8rFTUehJRvY4A4iwPFuxntbxNCVquVXeoMAiwC5lmSrv1F1GKBiuOQuR6yf7SNvElUEDEF+t4MYeNAbJt9aqmpJvvgXvoPiEDRvMQ2ixJ69WJoV0N37BhdmZl4vfoqAlH3L+YykYwlYxZjXRxHvl8uuzNjeNP9I4QxbWgPfMzYonpavYbQqG+iXlePI7LmAAAgAElEQVRPbmMujV2NmK222kKefWRMSfEi+9A++o2fcmnjP3+Hwr20FWmo8hyKxl2CR6Bjr/of0t+dwdODOb65GHd/R/qN84fWCtJTTiEUetN34szzxwbG9ueOdz4gc98uDq/+jiNhPgS7uBOyfx9tmzajGj4Mzb33oUocbvtd+saD0g3ytvVaCCUEaRAKIKW46TIh9N6OXE6XtfDxgoEEXSEvqOjUMURiMRKZjA3vvMaCN95H6XR5rtvYSE/+Mq4PH+wpoH+AM3cMDeymNTt27NjpgdZKW+RBxg9QnQ4IbFESI/5qG4RTXHTfGfMC1OXYnlVZP14QRYGJEDPr+kSRQQsVJ6D0qG0gsCIVTJ22fW7hMPhB2gc8x/HVFeSm1CCVi+gX2IZm/TsIjV24P/1XNHfdhUB84VV5R8kOFqUuYmLgRB4d8Cgdhg46jOeW7rYv+qxGW0OHsYN2Qzudpk7ePfEus8Nmc2v4rfir/X/9z/s6aTe0syZvDd9mf4ukQsv4NE9kEjU3v/wK/lF9r97A/zEh/eJpSk4n50wKGpWIphabSJMGBKA9ehSrxXJNFuR2IWTHznUS0NcVtZucjP0VVxdCYBMdsz61ucvtfYOSIhkZNbMJjXEkWqAjaHcX1ek/0v7OFByGDWNT4Sb2dh3nfu/+VB5NhVl3XP0aVqst5jpzne1h0lZhq6cTPtEmfvpMAunlOR8p61cjEokZfM8z8M1mOPrxDRFCjV98icjNDafZs6584PEvEHQ2Eb7gHtLbrLScMLNg6mRaZrVT8/Ir/M3jTuQRF+ysLVYLrfpWGjob2Fu2l9LsdRzZvIa4cZMvFYxqH3CPhKJ9lG3xpsP5FkaNC74mUZkwJYiG8g4Ory1A46PC6+xHZLe4Ex6fgFJ9qZGCUCgibtxkIoaN4tiPazi15UfKI/yJ8QvG90gq2vvvRxYejubee3CaOhVBn4mQtwXMJhBd/XaslkuI9lFzrKjxks93Zdfy5aFi7hwWyLQ47x7OtonrwtTjBISHMWzeXax54xV+XPQGt/79n92GLvxlXB/OVLTwj81ZRHuriQ/8bQr42rFj538EXZMt7DdjLZQkA1bwGQiT3oK+c2xGMd0hENhmyz2jIelFmyjK+tEmjM6LouEQPQuiZ3TfTmczlB2ziZ6yo7ZnocVkC73zioX4u21tBAxDL3IhdWsJGW+cASB2oANeez7GvO04quHD8XrtVaT+l4qT03WnefHQiwzwGMA/R/4TmaiH/OCrYLVaSa1NZVXuKr7N/pZlWctI9E1kfsR8RviOQHQDQ9OvRL2unu9yvmNN3ho6jB1MaeuHV2obGh9fZj/3Ck4eNyAU/zeg34DRHBMuoSIzgzjnKPIrfbFarUiDArF2dWGqq0Pi1fu+24WQHTvXiVAoIGaUL0fXF9JY2YGrby9iZwUCGPUM9eZwdq2R4CkvYfzNiYgf+5g9K99B+ME3VNx7HwKNC+2eHTwU7sOg2ESSd/5EXUkRHkEhl7dp7IKSQ1Cw0xZq1VIGQoltxmfcy7YZILm6xy41V1eSfXAvA6ZMx8HdGwY/CPvegLrcbovJ9ZbOrCy0R47g/te/IpRd4YHR1QqHP4Q+kxD4JzBgQi07l2RRktGA/7hx1LzyKu07d10ihIQCIS5yF1zkLvg6+HJ3yPe4ptVTmpFGUNyAS9sPSUK/dxnFuocRaSyED762UUWBUMC4u6NY966OHV9mEGc5iN6iod+0nmdxZEoloxbcTb/xkzn4/TekpyRTGBXIwJk3Id13kOrnX6D+X//G4/axOHW12gwVgi63Vu+OIcGufJtSit5kRiYWUdGs4+kf0unrq+alaVFXPLepsoKW2mriBcl4Hy9gysNPsvnDRez47AOmPvb0ZQJRKBSweN4Apn+UzCPfn+Snx0bi7nh9D387duz8j2LQ2ma2M9baHNgsRnDtY5vlib3FNvh3rXhE2ZakFy4VRduegW3P2opmx8wClZttxqfsKNRmAVZb2J3PQBj+uE34+A8G+YVBq5IzDexfcQxtq56IQR6ENR6g84PPwMEBn3feRj1jxmX3wpLWEh7b+xg+Dj58mPThdYsgsOXMDPIaxCCvQdTp6libv5a1+Wt5dO+j+Dr4Mjd8LnP6zMFF/tsMPJW2lfJN1jdsPLsRs9XMRP8JDM13pyT5EIH947npL8/e0GLqNxpnR1eaXS1wthJNv1gM5Uq0jR0XWWiX2YWQHTv/V0QP9+H45mIy9lcw5vbeiQZtq56tO92QOxqY4vIR4uWvwq3LiZ/9EOM7v+eFlkRE6Xn45bUQn1OGQfQfhNFBHH3xWYYPHYViYDyKYDdEVck28VN0wDbdL1ZAyGgY9QxE3tTrBPyUdasQSSQMnnnuxT7hXji0CFI+gRkfXudPBpqWLEGoUuEyf96VDzzyEXS1wNiXAAgd6I7DBhmnd5UR/HQ8iviBtO/ejftjj3Z7ulKiJHz4CLpy0kjdsuFyIRSaRONXP1DrkUBInAaZ8tpda6RyMVMfjuWH15NJaQxF4ynBNzKGnSU7CXUOJdS5+we9k4cX0598norcLPYv+4qDxw7g2TeMIQsXIFq5hpovf8JxmgRh/rZeC6HBwRqWJBeTXt5Kf39nHl1xGsu5vCCZ+MojiYUnjwEQ4tAARVWEqzwYMW8hyau/w8Xbl+FzF1z+HZQSPlsYz5xPD/PoilN8f/8QxFfKibNjx87/HzSXwNFPIO17MHSAow8M/RPW6JuxqEOx6HRYWrRYKs9g0WrPL+aLtq2dXSgG9MchKannAbNLRFHuhfC5bc/a9ktUNrGT9BIEDrOFHXdTmqCrw8ihH/LJP1aLxkdF0gghpv88TWdpKU4zZ+Lx/HOIXS4XH42djTy8+2FEAhGfjP8EZ3k3ZTOuEw+lB4/0f4QH4h5gb9leVuWuYvGpxXyS9gmTgyczL2IesW6x152jabKYqOyopLClkKLWItLr0zlQfgCJUMLssNncHjqf9K9XUHTqEAOmTGfMHfcj7CGM/feEKcAR0UkdSo3ted5cWIrXRbWEVEN673xrF0J27PwK5A4S+gzyJO94LcPmhCFTXPlPymQws/XTDLp0JuY8nYDKYYOtiNt3N+M87V/EeA/gPflptK5annrmWRLdp9J5+hR+61dQ1tJI2GefIbRYQWBF5mxE6StDOWAsismzkcTfdE11aQCaqirIST7AwGkzLxQoVblCv9sgbYVtRknlduVGusFQVkbb9h1o7rkbkbrn2Sg66m1heDGzbc49gFAkpP+4AJJ/KKCmuBX1hAnUvvU2hrIypAHdF3mdET6L//gfRJ52iqaqSjQ+F8wQrP7DyO8YidldTt/x3cyo9RInJxik+JDdJpCqp5PXmMdTB55CLBTzYNyD3N/3fiSi7kWWX2QMt7/5PjnJ+zm0chmb1n9PSEwEgYVn0Zr74Zi/Aya+0at+DA6yCdxjRY3szKohrbyFT24fSKDr1UfwCk8ex8PRgjog2hZesucfDB7mSfPocRxduwIXH1+iEkdfdl60j5q358TxxOo03t6Wy99u6t6Rzo4dO/8fUJUGRz7EeGIjLUUqOpp9MVsUWPRmLN9txdq5rnftCAQIJBKali1D6OSE07SpOM2ejbxv355f/D0iweN5GPO8zYDB0GELe+vh3vszhafqOLAyjy6tkb5+bfhnLUW34iQSf3/8l3yFQ2L3A1E6o45H9zxKQ2cDSyctxd/x6rk8VqsVs8mEUd+FSa/HqO/CeG7987+Vame8wvogEtv6LRFKmBQ0iUlBkzjbfJZVeavYXLiZTYWbiHaNZn7EfCYHT0Yh7v4ZbzQbKW0rpbC1kKKWIopaiyhsLaSktQSjxXj+OC+VF/fF3sftUbcj7bCw4d1/0FhRxrh7H6b/pGlX/W6/Fxz7BMLJHNpNOgCaSurwS4hCIJFcs2GCXQjZsfMriRvjR+6RanKPVtNvbM83SavVyt7lOdSVtjHloVjc/R0BR7hvB/xwD2x+nDFxUzhl1BLrFssdwdMQFe5D0rGDBLeTrG8NRjTBiJ+TH52dvugqDbTknKU58zR8exqJ3xco4wfi+tBDyEJ698J/dO1KRFIJg2f8wpFu6CNw8ms4sQTGPHfNP5PGpUsRiERo7rzrygcm/9s2mzXmxUs+jkr05vhPxaTtKmfs1PHUvvU27bt243rfvd02k+CVQFOUAksRnN6+iXH3Pnx+X2dWPuWuI3ES1F5WHPWaSPue2pZqhCJ/muv8+WldClKllKSAJD5J+4Rdpbt4ffjrxLjFdHu6QCgketRY+gwezonN6zmxeR31Yb54lElxFKdCY2GvQkhcVFIivRz57lgptW167hoWyNTYnvOCfkbX1kpVfg5DXcsh+h4Y8SS0VSM4+h/Gj3+T1rq+7Ph0MWo3D3wjLg+xmzXAl7TyFr5KLibWz4mZ/a/uvGfHjp3/EaxWKNyDNfkDtEeP0VLsRHuFJ1isKOLDUXh6IlSpeliU57dFF30uUCjAYkF7NIXWDRtoWbee5hUrkYaF4jx7Nurp05F4XCH/1j38qt3WtRk4sCyDoqxW1OZG+p7+AseOCggPx/2vf0Vzx0KEiu7Fhdli5rlDz5HdlM3iMYuJdY/FarVSkZPJmd3b0bY0XxA6Bj3Gri5MBj3GLj1Wq+WqfRPLZPhGROMfHYt/TCyeIX0QicWEuYTxt6F/48n4J9lcuJlVuat4+cjLLEpdxKywWYwNGEuNtub8LE9hSyHl7eXnDYQECPB18CXEOYQRPiMIcQ4h1CmUYKfg8/bXVfm5/LDoDcxGI3NeeO3ySIrfOX5hUVRLMimrqkEu8KSpSohAJEISEICx7NostO1CyI6dX4l7gCOewWoyD1QSN8YPgbD7kazUrSUUpNYxbHYoIf3dL+yQO8GCNbD9Oaac+ppDAaH8raYa0aJwsFpA6UZg/Hgc6prJ9riVyJfe5OdsJKvRSFduLrqTJ+k8eYr2XbsxVlYR+N23V+13Y0U5uUcOMmj6nMtdw9zDbcYKJ76ExL+ApPcWn6aGBlrXb8Bp1kwknld4iLVWwomvoN+Cyx5oUrmYvqN8OL2zjGGzQ5FHR9O+a1ePQkgoEDIpejo5pzcg3b+bxHl3IFfZfkpl6/bQph7EcOVSBLoJ1zXDhdmE/uB/yG33J2rkGJD6UXhCzoxRt/PK6L9yU8hNvH70dRZsXcBdMXfxSL9HerRFlcjlDJ+7AJWzC7u/+pjKvGp8AgQI83fAsEd61Z0hwRqWHS0l1teJF6+SF/QzxadTwWolzKGJE56hhBvacJryDnTUIN79N2ZM/YQV3zeycdEb3P7m+90myr44NYrsqjaeWpOOWCi8ojGDHTt2/gcwGyFzPabdi2k5XkZLkSPGdldELs643nszznPnns/NuC5EIhxGJOIwIhFzWxtt27bTumEDde8tou79f6EaOQLn2bOvHDrXDcamJjK/O8SJLAkmq4iQkq2ESYpxvnsW6imTkYVeedDJarXy9vG32V++nxeHvMho31HkHjlI6uYN1BYVIHdU4+rrh0ylQuWiQSKXI5HKkMhliKVyJDIZEpkMsUyGRCY/v5ZIbZ+11dVSlnWG8qwzJK9aDoBErsA30iaMAmLi8AgOZX7kfOZFzDtvrrAiZwXLs23HiwQi/B39CXUOZULgBEKdQwlxCiHIKajHmSOAnMMH2PHpYhw0rtz68lu4+v33HOuulyCnIE65deGUk4eP3JWmBj/gnIV2iX1GyI6d/3Nix/ix++tsKnKb8Y++PDenILWW45uLiRjqxYCJ3YR3icQwdRFern1Yuuc1m7XnyKchfBL4DEQoFBJjXM7xH9fS0dSIg8YVAIFEgiI2FkVsLNx9N41ffUXdovfRFxQg69Pnin0+unYFEqmMhOlzuj9g2J9h+Qyb9enAXjjWnaPp2++wGo1o7u1etJzn4Ls2odfDjFPsGH/SdpeTvrec6Anjqf/gQ4x1dT2OEE4Pnc66wG8Iq1CRuXcnCdPnYNHryc8zIPQwE6nab7MF76VV9SVk/0hOmQGjWUD/CVM5bMikLrsVr5T+FEbWMSJ2JBtmbeBfqf/i68yv2Vu2l9eGv0a8Z3yPTYYPTWTv0k+pUkppbwvGKX97r4XQtDgfUoqaepUX9DOFJ4/hILPSHuTPvUf/Rt/8viyZtATlnC/h29kodvyF2bd/yYrPVrLhnX9w2+vvXZYwKxUL+eruBO79+gSPrTyFwdyP2QP8enV9O3bs/IHQt2M9uQzd+k9oOaOlrUIJFjXKhATcb5uP44QJCG9QkcyfEanVuMy7FZd5t6IvKqb1xx9p3biRyiee7FXonLm1lfbdu6nddoC01lAaXGNx0lcyNFqL31N/Rhbep9e5Nsuzl7MqbxV391lIeKGSJR89QFt9HS7evkx44FGiRiUhkV6/YYJncCh9hgwHQNfaQnl2JuXnhNGhtJMASBVK/KJizguj90a9S0NXI5kNmQQ4BhCoDuwxHNtiNqPv1KHXatHrtLZ1p5aqvBxSN6/HNzKGGU+9eJnz6R+FIHUQVW5dBFe3o1RXU9EaZnOOCwxEe/jwNVloC6xW62/c3d+GhIQEa2pq6n+7G3bsAGA2Wlj24mE8g52Y9kjcJftqS9rY8P4pPAIcmfnEAESSq/xx9lDMtLm6kqVPPMTIBXdfMDb4BaamJs6OHoPzrbfi9fe/9XiJhvJSlj3zKINn3sLI23oIX7Na4bORNvvRR472qsCquaODs0ljUQ0dit9/rmC00FgIHw2CQffD1Hd7PGzPN9mcPVXH/Ae8qZo7C69XXsblttt6PP72LbcTur0Nf6s7933wJS3bd/PDeiN+YSqmCe62mUjM+viq3+MSrFasn45k+QkVQs9IFr61mNu23AZaMVPTH6G9qQuJTERQnBuhA92pcy3itROvUtlRybyIeTwZ/yQqSff5O+vfepWa1OPcJNQTEJsGzxZf0eHvejEZjXxy33yiFCXkT4lkZU01Onkrif7DWZy0GJG+DZZOhrZqykZ8xLpPl+AfE8ec51/tNnFWqzfxwPJUjhY18s/Zsdw2uPvcLTt27PzBaK/FvPcDWteuojlPiKFNglClwPnmW3CeN++qMym9xWg2kt+ST0FzAXHucYQ4dR/ObTWbz4fOte/ejVWvvyR0TqhQ0LF3L21bt9F+5AjVrgmc7XMLVrGUhBFODJgff+WC592wo2QHL+94jinNcbjl6dHrtPhGxpAwfQ6hAwddU42a66GjuYmK7AzKszIozz5Dc3UVADKVCr+oWDyDQzEa9Bh0Wrq0Wttap8Wg050XPUZ9V4/tx4wez/gH/oxYcu3GQb8XDGYDY74ays17fQj386NMeyt3v52IYfsGal59jbB9e5F4X4hYEAgEJ61Wa0J3bdlnhOzYuQGIJEKiE304taOUtsZO1K62aemOZj1bPz2DUi1lyp9iry6CoEfB4eLti29kNJn7djFoxs3djmyJNRocJ0+mdeNGPP76JEJV9y/gR9euRCqXk3DT7Cv3Y9if4cc/QeFemx33VWhZvQZLezuuD9x/5QP3v2WzOB351BUP6z8hgNyUGgrKpbgEBdG+a/cVhdD00Ol86/cvnE5ZOZuaQsNPpzFJBhM3MxYyR0PRvh6FZo+c3UNVSQkNuv5MmDCFnKYcshqzeH7w88y/ZSiVec0Unqqn6HQ9BSdqEctEPB7zDtlOx1iR/TkHKw7yyrBXSPS9PBk3csRoitNSKS9qwbePGVHhHptxxA2mIusMRr2eEPdGvujQMz/tBcQaE8v17/C26m1eHPIigtvXwpKJBBx/lvELXmXnt9+x95svGHfvny77v6aSiVl69yD+9N1JXlifQZfRzD2JwTe833bs2Pm/wVqfT+eq12nZlkxbqQyrWYYiKgzvF+5DPWUyQnnvw6N/iclioqi1iKyGLLIas8hqyCK/sQAHrQZNpzcG0UqigkJZMGguA30vzVURXCV0TiASYTUaMfpHkjfuNeq6nPDp40TSHVE4e1xeM+9qHDy9jU3fvcctVX6IrC0EDk0k4aZZeIdFXP3kG4SDi4bIxNFEnjOuaW9qsImic8KoMDUFkViMVKlCrlIhVaiQKZU4uGiQKVUXLUpkKgekSiVypQqpUoXC0RG1Wy/qHv7OkYqkOLl5YnKW0q7vAKCpWovmYgtt796FbtuFkB07N4iYUb6c2lFK1sEqhs0OxWgws/XTMxi7zMx4tj8Kx18fRtB3zAR2fPYBVfm53Sa0A7jcNp+2zZtp3boVl7lzL9tfX1pMfkoyQ2bPQ+F4ldmHvjfD7ldtzm5XEUIWg4GmZctQDhmCIi6u5wNrs2z1JkY8cdVK4a6+DgREazizv5Ip4ybSsmwp5tZWRE7dT+dPDprMu97vYFXLOLlpPZaWCFSuXfhFukLnWMjeCA354H4ND7XDiznTEYpUriAycTRvnX4XuUjO9NDpiERCAqJdCYh2ZfRt4VTmt1B4qo6itHoU7WE8IHmPKtd83iv9jG3x23lm2NM4yS70PSxhCCKxmGq1kvZaDc75O34TIXT25HHEQtAHu+OR44kAEYJ6I7e3Ps+WzqUsd1zOXTF3wcK1sHQKsSX/omnK3aRu24LGx5eBU2Zc1qZcIuLzO+J5fOVpXtucTZfRwsNjbsxosR07dn47zO3tGMuKMWYewpRzHGNxHh15DehbJAhlKpxmTMLlrgeQR169JETB8SPkpxwmYthIQhOGYMVKSVvJJaKnsK4Eh3ZXXLW+eHUGMlA/h8Q2FwSWiwYGc+HI9kb2yzfj4qEiwM8LJ3clTu4K1G4KnNwVyH8ZOrdpI5ZOPZX+ozh5woDVCqPmh9J3lG+PubrdYbVaKctI5+CP31OXlUOgSEnfcRMZPuPW30VRUUeNG9Ejk4geaStybjIaEYnF122p/b9CoFMgDZ41yAvbETmYaCprxCv2ZyFUimrokF61YxdCduzcIBw1coL7uZOdXMWgaUHs+Sab+vJ2pj0S17tiq70gfNgI9n79OVn7d/UohBQDBiDr04eWlatwvuWWy26WR9euRKpQEn/TrKtfUCyFwQ/A3tehNttW9bsH2jZvxlRXh/ebb165zb1vgkxtK3bXC/pPCGDTB2nUxSciNX1Bx/79OM2c2e2xznJnRvmPJiswE0FGHlLHBAYPcbc9FENsDxEK9/VeCFWcpPPsUfJaEuk7biwGoZktRVuYHDwZtfRSESkUCfGP0uAfpWHU/HCqClooPFWP7LQEr5pwTIUG3t7zLYOGR3JT0hikcjFShZKQ+CGUHU2mpdaEc8FOsJjhBlYWt1qtFKUeJVDVyC7fEKLS4lAZqkjQ7uKkYhzTch7iYOtWvJQ7mRQ8EeZ/D9/NYZR8Iy3xw9m/7CucPb0JGTjosrZlYhEfLRjIU2vSeWd7Lp1GM0+O730cvh07dm4sVqMRU10dxupq21JVjbG6CmNlJabyYow1dVi6jJeeJAS5vxdef74XpznzeowkuBhtSzN7ln5KwbEjCCRicg8foMtFTHaAnja5E646fzw6/enfeQtDdY7nz5M7SHD3d8BtkCNu/g5ofBwwGczU17RwPC+NitJSmpuVNNdokRku7YdMKT4vitTuCtTxc8k/XktVcgv+US6MuT0StVvvS0iYTSbyjh4idfN66kuL0cutFMYYeOGB/xDmff3FxH9r/sghbTeSIHUQKU5ZeJmckJnP0lTqgHhCKAKp9JostO1CyI6dG0jsGF+K0ur58d+nqS1uI/GWMIJir8OlrAekcgXhQ0eQe+QQSXc9iKSbcAWBQIDzbfOp/cfrdGVkXDI7U1dSRMHxIwy9+TYUDo6XndstCffCofch5WOY2X1+jdViofGrJciiolCNuEJh0IpUyNsCY//W64KvfpEuuPk7kJVjIcHLi7Zdu3oUQmALj3umcC+xGcGYu07Sd8Y5MwiXQNCE2MLjhv6pV9fm8L/J0gViNlvoN34yW4u30mnqZG745TNtFyMUCfGL1OAXqWHk/HCqC1pIPZqH+XQg1RuFfP7TPvyjXRg6pQ9RiaMpOHaYsloDfk3NiCtSIaB3I1m9ob60mPamJoZ6N7KiUcNoUSj+mhKiv/oSzYefcORwFQMF0zj+QSauf3UjIXgkzP4cwdp7mRrmyqqmYH764F1u+8e7uAdeHv4mEQn597z+yMRCPtxTgN5o5vkpkXYxZMfOb4y5Q0tnWhq6k6l0njyFoawMU10dWC61bhYphIjlBiRKI8oACxJPTySh0UiihyPuPw6xbzCCXhbRNJqN7PxpGbnrfsJiNJETYkQi7YdvvRBVSzED000IhDLEiiA0fv1xj3LCzd8BNz+b8FGqpd3eG7xCnIgdHojRYmRnyU6+zvyawoZigghnmtssYqUD6Wqy0NrQSV1ZO0Wn67FYrEgVYpLuiCRquPdl7ZoMBrQtzbaltRlts21b19JMR0sTdUVn6WhuwsXXj+Jhck64lPLV1KWEuf9+RZCdCwSqA1nt3MoooQticw7N1X0QCIVIAvztQsiOnf8WvhEuuHgpqS1uIyrRm37jbrwtZd+k8WQd2E3+scPEjO4+XM1pxgzqFr1P88pVlwihIz+sQKZUET+tZyFxGUoN9F8Ap5bDuFfA4fL44vaduzAUF+OzaNGVX4D3/AOUbjDk4Z6P+QUCgYD+4wPY/XU22sRbsGz5CotOh1DZffz3KN9RhHQ6IRZHYjTmYLVogXPuPiFJcGY1mAy22a4r0VCANfsnznSMxyc8GLeAINZsfoYIlwhi3WJ73X+hUIBvhAu+EUPRLzSwbM8a0lKKMOT2p6aolXvfSEQqk1PlrKKtXIkmf/sNFUKFJ48BYAp0JPq0NwiERMyIRyiV4vP0E0xJOsnRf64h33U8KW8WIHtcRmzfOdBRi2T788yKv4sVexRseOcfLHjzfRxcLhewIqGAd26OQyEV8fnBIjqNZl6dHoPwGsJT7Nixc2VMzc10njyJLvUkukISfjIAACAASURBVNRUunJywGwGkQh5ZCSq2FAkUi/Elkok+kIk8i4kSgtCv74QPAqCRkDAMFA4X/1iF1Gnq+Nw5WGO5uyFnfl41kuodzYhDxlHfO1AhCIBboGOuA1XYdLnU5q+ndbabRja0vHtcytRI8YgEvfudVMilDAtZBpTg6dypOoIX2d+zQc1b+AgceDWiFtZOGsh7kp3TEYjpWfy6GiqoqPhCAe+bUbb0oK2uem88NFrtZdfQCBAqXZC5eyCV1g4MWMn8kHzcg5VFpyvFWTnj0GgOhCT2IpjoDfGimqaGjnnHBeEscwuhOzY+a8gEAgYcWsfitMbGDH3twkR8o2MwdnLm6z9u3sUQiIHB5ymT6f1xx/xfP45RE5O1BadpTA1heFzbz9fY6fXDHnYVlz1xFeQdGnxU6vZTMPHHyENDkY9ZXLPbRQdgOIDMOktkF3b9cMSPEj5sZAiSQzRXV10JCejnjix22MlIgmzi0fQpEyAtmzSd20j8dbbbTtDx0LqEqg4AUFXmLkCOPwB5Xo3mlu7GLpwChkNGeQ15/H3oX+/7t+rTCzlwUkLKRpaxKLVnxNzahLlhS30GZpI3v49NNd6oMnfAeNfua72u6PoxBG8Fe3s8w8kMLUfVmUrvklJ5/er4uMZuzwS9auLSW+I5tAHZegntZBw88PQVoXjkQ+ZNeEJVm3MZON7r3PrK28hkV0+EykUCnhtRgxyiYgvDhahN1r455xYROfEkNVqRZ+Tg76oGMexST0KWTt2/qt0NkNXK0hUIFGARAm/sUtYTxhras6JnhPoUlMxnC0EQCCVooiLxXX+TSjdDShEZxHVHQajznaiZywE32kTPoHDQeFybde1GEmrS+Nw5WGSK5PJb8ojqtiRgQUuiIQy1LGjUdUOxFoHfcf4kjA16KIc2GislhmcPZFCyvrV7Ph0MSnrVjJ41lxiRo9DJO5dWJdAICDRN5FE30SyGrJYmrGEdce/I2XbOgZ0BqOs0mPU6c4fL5bJcHDWoHJxwc0/kIDY/ji4aFA6O6NydkHl5ILKRYNS7XTeCdNqtfLPY/9kf8UBXhzyIkkBST11x87vkCB1EACCYHd0xZXIugzo2gw2C+3k5F5baNuFkB07N5ifk+d/KwQCATGjx3N49be01Nbg7Nl9MqfL/Hm0rF5N648/ornrLo788D0ylYqBUy9PfL8qbmEQMcUmhEY8aXtBOEfb9u3oC87i8/6insMrrFZbnpHa1xZqd42IRELixvpzZN1ZAr2jad+9u0chZLVaEdSHIJZZEYb7kr5rK0NmzUUslULwSBCIbOFxVxJCbdVwZjXplvHIHSB86AheO/E6CrGCqcFTr7n/vyTEKYQ7J8/haHojhw6kMyZxFFkH9lDWJiSgOBdJSxk4/3pL6o6mRmqKi0l0b+RwgRCFKpzIYPNlQk6oUjH4vZcQrPmWrE0NHNsVSlPaD4x76e+I2mvwzFjMtGkvsnFDMts//jc3PfFctw8YgUDAC1MikUtEfLingC6TmXdGe6PduoXWHzeiLygAQOTigubuu3G5fQEihxuTP2fHzq/GoIOPBoO27tLPxXKbIJJeJI4kSpAqz/1bdW5baZtBdwu3LZoQ6KHOyy+xWq0YS0vRpaaiO5GK7uRJjBUVgO3vUzFgAE6jB6F01yMXFiCs2A+GdqgBPKJhwB22+1tgYq/Dji+mRltDcmUyyZXJpFSnoDVqEQvEDJXEMiK9P+aqZtwCYzEaR6CvUBAW786QmSHdOrMJhEL6DBlO2OBhFJ06Qcr6Vez64iNS1q1m0MybiU2aaLsfXwVtSzNlmelUZKYTkdGMT4PNBUwrb6DErRPNsFAG9RuLSqNBqXREJpIhEUqQiWS2bdGFbalIilQoRXhR/uWyrGWsylvFPTH3cFtkz26kdn6feKm8kAqltHrbfqcWUxlNVVocAgKw6vWYamqQ+PhctR27ELJj5w9IzOhxHF7zHVkHdpN468Juj5FHRaHo14/mVavRJw6l6NQJEufdcVmRzF4z7M+Qt9UWWhZ/NwBWk4mGjz5G1icM9ZQpPZ+bv902CzP9Q5Bcnw1rzAgfUrcUUxl7M477FmM1GBB08zCtO5BKsyoUrXI/pUFthOS3kXv4AH2TJoDcCXzjbYYJY3uus0TKJ2gNAs6WaxkwdSY6uthevJ2bQm/CQXpjXtyH+A9mk+fHCHND8b0vDoXKgWoXR9rK5Ljm77CZVPxKik6fAMDsL6Nfmh9GJwmRMwf0ePygW++gvc9GCv51gAJG0/joGqb+5RmctHWE5b7DqEnPcnB7Mls/ep/4abPwDAm7TFQJBAKeSPQj8NRBOj/5gsLXChBarSj698fr1VeQBgbS+PXX1P/73zQuWYJm4UJc7liI2OXaRq3t2LnhnFllE0Fj/267Vxh1NnFk/HnpBIPWtjbqQNd0bvvcZwadbftnhGJwCbaZs7j1AbeIcyKpD8jVWDo70R0/TseBg3QcPHhe+IhcXFDGx6OZNRGFhx65KQdB+S7QNoMW0ITaCkMHj4KgkeDgft1fuaK9gjdS3uBw1WHA9nI5JXgKwz2HIj5WSdrmjYhkShx8ZtPeGoRvuAvD5oTiFXz1QpwCgYDQ+MGEDBxE6ZnTpKxfxd6ln3FswxoGTZ9D3PjJl8wuGzp1VORkUZqRRllmOg1lJQDIVQ74941j8My5BMb2w+wkY2XeSlblrmJz7vFr+r5igdgmikRSWvQtTAqaxBPxT1xTG3Z+HwgFQgLUAZQqm+gjEWA2ltostIPOOceVldmFkB07/6s4uroRFDeArP17GHbLbZeMcl2M823zqX7+BU5++QlyB0cGTJ5+/RcNTATvfnD0ExhwJwiFtG3ZgqG4GN8PPuh5CtpigT2v2x7e/Rdc9+WlCjHRI31J323G3yBBe/wEDt0YM2RszgKrH643+fFt2QYG+A7j1LZNxIwZb3tpDx0LB9+1hcB0FzLS2QKpX5MhTcJi0RI3bjKbCzfTZe66qknCtSAQCAiJd0O/WcaJkzmEJ44mc8cWmqpdcM3ffkOEUOGxZNSSLo67e+Nj6Ee70IB35JVfmsYOmEnl861kf/ktQt08fvhXJqMHzyfMo4GEyg/pHPs4pw4dIffwATQ+fkSNTCJqxBjUbu7ojp+gdeNG2nfsIFqnQ+/qzrbwIYiH9OWRGX2QdjVCVwqqBSF0DlXQuD2Thk8+oemrz3EZ6oNmmDtiBWDSg1lvy+Uy68FstH0GNkEef/e11YKyY+dqWCyQ8il497fVN7ve/1/6dmgosNn0N+RDfZ7t3/nbwWLC0CGio1pGR50TumohVpMVgVSMakAUmlumoPKxINVnIyjZDg110AA4+UPE1AvCx8n3kktWF+Sx9+vPsFrBMyQUz5AwPIPDcAsI7DEUzWwx813Od3yc9jFCgZDHBzzO2ICxhDiFUJWfy86PPqSpshyVJg6TORGlkyvj7gkjKNb1mkODBQIBQf0GEhg3gIrsDI6uW8X+5V9x7McfiJ86E7PJSGlGOjVn87CYzYglUnwioxm54G4CY/vjHhR82TPusQGPcX/s/VR1VGEwG9Cb9RgtRvRmPXqzHoPZcP5zg9mAwXJh++e1k8yJB+MeRCj474Q+2vn1BKoDKW4tZpyPmsLyEhorO4gef04IlZSiGjr0qm3YhZAdO39QYsaMZ8sH71KWeYaguO5H+dWTJ5P3r0WUlxQy4ra7kP2avAyBAIY9CusfgMI9WIPGUP/xJ8giI3GcML7n87LWQ10W3Lyk12EiPRGX5MeZPeVUBk/Ae9euy4SQqVNPSbMTnooGRgyZwQflH9EZ50rrtgwqsjPwj4mD0CQ48DYUH4TobkwjUpdg0bdzplZCQN9+uHj7sPbEWmJcY4h27dk+/HqYPWYi32w7zPHkRm6ZMZL0nVsoNSgJSE9GNrfjmnOpLsao76IsK4O+jo2cPC6lSRNDeJxrr+pr3BFzJ+8sqGbH/sVMK3iQXac11FimMjR4JaNav2Twsx+Qn5FLzqlMDq/+lsOrv8W1S493fSu+Oh2aQBPO/q0oXKvoL0gHw3pYe+k1FEIxfv1kdIXIaMyQ0XionKbD5Tj3leE62BGJs9JmaCFzBLHMVoC3tQJ+esLmPjht0SUhmnbs/CqK9mKtz6eqYhKmw3cjDQxAEhCANDDQtvj79y6vTeYIvgNtC2A1GNCdPEnH/v107N+LodQ26yPRyHGOFeKgaUCpaUEoKoOaHbZQNwdPCBl9Qfi4BHUrzCxmM8c2rOHoupU4uLji7OVN3pFDnNm9HQCRWIxbQBCewWE2cRRiE0dn24p49cirZDZmMsZvDC8NfQkvlReGrk72ffMFp3f8hETqhMRhNjJ1BKOmhxA5zAuh6NcJBoFAgH9MHP4xcVTmZpOyfhXJq5YjEAjxDA0jYfocAmP74xMe1avQOYVYQaizvXbZ/88EqgM5UHGAgD6TOVuaQV1RIWLPqQhksl47x9mFkB07f1DCEoYiVzmQtX93j0JIKJdTGB6MtLmBvvE3wIksehbsegWOfkTrmTaMZWX4ffJxz7NBZiPsexM8+0LMnF99eUeNnLBBHhQeG07Ivvfwetl8SV5S3pqD6KVORCeK8FJ5Mdh7MNub05jq6MzJrZtsQsg3HqSOtvC4XwohYyekfEaJYxLtuS2MuftPnK47zdmWs7w2/LVf3f9f4qrSYAxqRFzkhdovEAdnF6ratLQVi3Ev2g9RN11326UZ6ZhMZizeQqKTAykNlRE+qvcvDU8nPM1T2mq+dHmHx3Kf4Yx2GI2nRYx2+xrHlQvxK1PgWKwkrF1JlcaBandHMv09yBFCqK+SqEhvgiNCEak9SK6Gdw424OPrz6I7x+CocjhfK0kO+AJuxcU0fvkVzZs20ZzdivPssbg+cD9S/4ucFy1m2P+2bUavNgNu/dZmi27Hzq/l6CdoWz1pO5yBNDQU/dmzmJuaLjlE7O6OJDAAaUAg0oCAS8TSxbluxtpaOg4eRHvwINrDR7DodAgkEpSDB+Ny+x04jBqFNCjIdrDVCu010JBnW/sMtIXOXWXWpaWmmq0fLaK6II+okUmMu/dPyJQqrBYLLXU11BadpbboLHXFZ8lLOcSZPTZxhFBAo6MeNxd4YcBdjA2aiZvUlZK0k+z44iM6GhsQyfshcxpN/OQw+o0LQCK7cXXNfsY3MpqbX/wHLTXVyB0ckdtzBe1cB0HqIEwWE/KIENidQWNFHgimIb0GC227ELJj5w+KWColcsRoMvfuokvb0a0TXGVeDtXtzUTUtdD50xZUD/fetrqHi8KQB7HueJWGg83I+/bFIekKTjtpK6CpCG5bdcOcl/qPDyD/WC3lskiC09NRDhx4fl9OSh1SowPhN9vylWaEzuCl5JfwHJZE4a5DF8wlgkdB4d7u+6utI906FZVzE6EJQ/nb0b/jIHFgctAVHPF+BYNGRJB7tpMtBw4ROTKJk5vX01Cmxi1vG4JfIYSKjicjFZops6pxVvVHIrHiE9F721yRUMRbI9/ift39fCh/h793vEl5+mA2t3kQcWoNCl0DqmBPgu6dRdyMmYjd3aktOkv2ob3kHj5I/q5C5Cn1RAwbSfTIJB7yVvPE6jQWfJPBf24bQJDbL4olBgfj8883cXvkERqXfEXr2nW0rFuH00034frQg8hCQmziaexLttH29Q/BF6NtM41h3bsn/jewWq1YTFaMBjMmgxmTwYLZZEGmlKBQSxD9ylH1/1VMjY10ZWXRmZFBV2YWIrUa77ff+r+pR1WXC4V7aCofRIufK7zxFIP7xYNWh6GsDGNZGYbSMgxlZRjKStEeOkRrff0lTYg0GqQBAVi6utDn5gIg9vZGPWM6DqNGoxo6pPsZJYEA1N62pRdYrVay9u9m7zdfIBQKmfb4M0Qmjr7QnFCIi5cPLl4+RA4fdf6cw1m7WbrnAyw1LUQafPGus1C9YT/fb9iPUCTGYjYhEGmQqecRN24wCVODUKqvPivza3H26t33tmOnOwLVtoGwRjc1CrEAfWcpujYDksBADCUlvWrDLoTs2PkD03fMBNJ2bCHvyEH6TbjczezID9+jUDsRrXSnec0PuD74YK8L5/VI/N20fLkYY209Xq+/0fOLirELDrwDfoMg/MaJCHd/R3z7qKnQJ9G6c895IdRaWketxZMI12rEMtsDfHzAeN4Qv0GWdwtqoZDT2zeTdNcDtvC4vC02kaYJsTVsMcOR/9CmSaDoSBFDZt1Ku6mDnSU7md1nNkrJb2P3nDRoCGkrN3M2tZmxd44idfN6ygSOBKfsRD7Dcl0C0mqxUJSaQqCqCcOJLuq94wgd4HnNL+EKsYIPx37Iwq0LeV/6Ju8u/Ji0FRZSBz4LgFAsQFUkQ/l1GSqnWpROUtQeExl1xxQ6GguozE0hc98u0nduwdnLm9ciB/FpmSOTF7fx1MRI7h0RfN5e+2ekfr54v/IKbn96mKalS2levZrWTZtwnDwJt4ceQh4ZaXMwfHAfrF4I391sE0cjnrqhNseWri6MVdV0llVSfKaBuiYRAg9vLCIZRoPlnMgxX7JtOrdttfbcrtxBgspJilItRamW2dZO5xa17Pw+qUL8P1uU1tzaek70ZNKVmUlnViamqmrbToEAk28YXc0dqJOTcRg58rfv0LHP0HeoaCpo5+SwZxF83sFWl6WI+7UxaHA0iWOH4ya71AzGotViqKjAUFp6iVASyWR4PP0UqlGjkPW5sSUUOtvb2PXFRxQcP4J/dCyT//wkarfL67pdTLuhncUnF7Mmfw2+fr68PPcdhvsMx2q10lpXS8beU2TsO4XRIKHPkIkMnxOBs6fd2t7OH4OfhVCppRMfRReF7eU0VLQiDwxEe/BQryy07ULIjp0/MB7BobgHBJG5b9dlQqgiJ5OyjDRGL7wXN5kDlY//hY4DB3Ec++tqJViEShryNCjc2lH179PzgalLoa0SZn92wxPbB04OZnNBG/nHqvCyWhEIBKSvTAGBA7GzLhSQVUqUTAicwI6yfTw/ZAaZ+3YyfO7tyELO/QwK910QQtkbobmYDLfpQBpx4yaxoXAjBovhhpok/BKhSIhjFEjSfWiQmXD29KK6o5O2vCrk1adtoXzXSE1RAVptJ0JfC95ZwdT6Kwkd6Hld/XNVuPLp+E9ZuG0hb9S/wGd/X4Ku0oqu1YC2VX9+3VyrozK/Gb3OdO5MATAMsWogQuNZOlpyaNm/idmAVSCmqsSFV1e4M7B/FDH9I3APCsLJw/N8UrTE0wPPF57H9cEHaFq2nObvv6d923aESiUidzfEbu6INfGI2xWI/7MY8ebdiCY8jtg7ELG7G2KNpltXwZ+x6HQYq6psS2WlbamqwlBZiaGyiiaDmmqvodR5DMQsViM26RAXFyGWipA6qZC5uSB3kOMoFSKWihBLhYhlIiQ/b0vOraUiRGIhep0RbautzoWuVY+uzUBLbQu6NgNmk+Wy/onEwvMiydXPgcAYV/wiXJAq/liPbXOHlq7sLLoys+jKzKAzMwtjWdn5/ZLAAJT9ByBfeAeWkCiyKxzJPloHRgPqz5cR8VsLIV0TpK+isTaGCv94EAiRxLfilu2LeH8op47VsNz7ORRRBhKDhjPSdyThLuEIVSrkERHIIyJ+2/6doyT9FNs/XUxnWxujbr+HhJtmX/UFb1/ZPt449gYNnQ3cGX0nf+7/5/MDOh3Neg6vq6PkjBxX/4mMXhCBd+jVneDs2Pk9oZFrcJQ4UtJRyQy3LgrbZRSnZdIvIBCrwYCpuhqJr+8V2/hj3VHt2LFzCQKBgJgxE9i//Esayktx87+QL3HkhxUonZzpN3EqYqEIsbs7zatW/moh1LLmB0wtXfiMaUOQuqR7G2p9Bxx6H4LPJfzeYPyjNTipTBSrBjI4Jwd5ZBRni6y4GkrxGHbp95seOp1NhZswDfTGcKSTrP27GDhlhs2JqWgfDLrPFqd/eDFmlzAyMkoIGZCAo5s7a5PX0s+9HxGa3/ZlZ+zYBHak5bFtbzLDRyZxtLaG2mJH3PO2I7gOIVR0LBkBVvTNImrd+yGSCPCPvvbaIj8T5BTEh0kf8sDOB3gh7Wm+nPglMpGs22NNRjO6cy/8F4RSOLrW8bTU1dFUmYOupRqRoQFLSxlF+7Ip2mc7VyAQI3N0R+3qg4uPP57BQfhGhuL5+GO43ncvrRs3YayswFTfgKmhAX1RCdp6LZY2NWSUweanL+mL0VFJl7MSnVqG1lGK3CxA02JAVt+GoKXt0o5LJJgCIqjxHkZlXDhaixKRyEpQiJTIoV54+4hp37GTtq1b0R/KB6EQ5ZDBqKdORT1hAiLn3ocdXozVakWvM9kE0kUiSddqQNumR9tioOBELdmHqhAKBXiHOREQ40pAjCuuvqruZxzMRqjJsFnWaxsgYAj4D71m8w3ruUGGa0VfVEzzd9+iTTmGobiYn6fIxD7eKPrG4nzLLSj6xiCPiUHk5ERnh4HTO8rIWFeB2dxJ2EB3ClLrKKxX45+aijIh4Zr70GtOfo2pXU9zehOlw0bQ5FHOyw/cg9lkIT+1hmM7RbgU3YqxvJMjHgf50utrHJ0VjPQbySjfUQzxHnJeXOQc2kdeymGC+w8kZOBgHF3dfnX3jAY9ySuWcWrbJlz9Apjz/Kt4BIVc8ZyGzgbePv42O0p20MelD4vHLCbWPRYAi9lC+t4Kjv9k+70MnxNG3Dg/e8imnT8kAoGAQHUgpW2lhAWp2FksoCr3DIOmDQPAUFpqF0J27PyvEzVyDAe/X0rm/t2MueM+AMqzzlCedYYxdz5wvk6D89y5NHz6KYaKCqR+ftd1LUtXFw1ffI4yIQHlaDOcWAIj/morJngxxz4FXQOMe/lXfbeeEAgE/L/27js8zuJc/P53tmmllVZa9d4lN1mSe8Md44IxIYANoQcSckJJISftTQ6/5CSkE8JJCIFgWigGh2oDtjGugIvcu1Ws3nsvuzvvH7s2dizJ3cby/bmuvbQ7O7M7jzzy7v3MPPeMmJvM2qUm8t7ZhN9EAx2GALIHt530xW1MxBgi/CJY3b2Fq9KHsOOjZWTPmY8hZTrsexdcTihcDxW7yE//IW2Nn5N59VxyqnIobC7kV5N+dUGO4XgpadH0+G+ncZ8m8dvj+Hzpa5RYAklZ+z5+M/6/M369/E1ribI2E7+jhW1jR5KQEYrZcm5LIkdGjOSxyY/xg3U/YN6/5xFoDcRqtGIxWk7+aTruscOCNdSKj8mzsWG4IZoeVzjdLU6aqp3s3lOHs6KF8J4eHD1ddHU0UV2US/WRbRz69Oi7G8AciMvXhtPcTY9qp9vejsu/B2LtGF2BWJwKk1NhdIPRrVDagOK4sdABRpcLX2M7nQnt1GUZ6AgLwBqVhMM4Ab+aVFxlnr+V6NQgxo2PImVkGBarCRpLoLEYn/vuJvRb99OVm0vzhx/StHw5lT//Hyp/8Uv8J03Cfu08/GfMOKNNYpVSWG1mrDYzwVG97/HlcrqpLGiieF8dRfvq+fztfD5/Ox9boMUTFKWaifM7jE/tFijZAmXbwdlx9B0A7dnTJnokJF7lucWNOyEw6nH3kNuQy56aPeyp3cPe2r2UtpZy+5DbeSD7AcynkfGxY+dO6p57jpaPV6PMZmwTJ2K/dh6+w4djHTYMU8iJG013tfeQ814Bu1aX0NPtYtDYSEZfm0hQuB9dbdsp65lG1TP/JOlCBUKuHtjyLPW1w6gMTgPlT9JVnhlNo8nAkPHRDB4XRUVeEzs/Lsa8ezajKq6hOb6UdfVvs/TwUswGM2Mix3BV5CSa/7WCntY28nM2AU8RnpRCyqhxpIweR3hi8hkHldWFBXzwf3+krrSYEXOuY/Jtd2O29H4CAjyB6zt57/DHnD/S4ezgoREPcc+we47921UdaWbtqwepLWklcXgIk29Jxx4imRfF5S0hMIEdVTvwDU/Ex9xOfdlBLIm3AJ69hGwTJ/bbXgIhIS5zfvZAUkaN48CGNUy+9S4MRiOfvfkqNkcwmbO+uDYnaOHN1P7jHzQuWUL4I4+c1Xs1vPY6rppaQv/0J1SE03Odza7XPLMqR7XXw6f/B4OuhdgLdyZ38LRkPn/jAPsOK3wbD2LuMTD0tqkn1TMajMxPns8L+17gnqsfY91TT1GwPYfU5Omw/SUo3wEbnwD/SHbltxEQEkbSiFE8veHHBFgCmJ04+4Idw1FKKRJGOjCu92VTw37C4hKpaO+ieedB/JrLwX7qTeGOaq6ppqa6gWTfblyWBFyGAJKzz37DxePNTpyN0+1kXek6upxddLm76HJ20dLdQqerk25XN52uTs9z3v08XNrV/4tGeG+AdhsxGy3Yjf4Et4UQ3mDH0eSDX4vCp60LY3szVrcRq7ICnsxzymxAWQ2YAk1YfBXW9kNYu6qxRgzGN2Uyfr52rD42jCYTR3Zvp2DbFiCYEHsM3Sody76hmNwW6n1qOBS3mtzQHLptbSSUh5JUAknN1SQ1VpDU00OytuCTMh2f9DmE3bOI0IceonP/fpo/+IDmDz6kdd06lI8P/lOnYp83F/+pUzH4nvsXTaPJQEy6w7OZ5fUu2vL2UpxziKJDHRRsauTAZ34ozERawokPHUV82iTCMoag4seCNQhKNkPhRs/tsyfRGx+n1OLDnoh09gSGscfg5GB7OV2ubsCz3GR46HCSg5J5bu9zbKrYxG8n/5bEwMST+qbdblrXrqNu8XN05GzDEBhIyLfuJ/i22zCF9j4j0t3pZPcnJez8uISudiepo8IZMz/phEAwe3Yi7x1opOBgN1H792Mden5T1wOw/13cDZU07PbnSPYsGvwquH3qiQlKlFJEpwURnRZEY3U7u9eUcuAzE9cVPkxAooGatEOsbVnGGzl/Y1pjGJ+Ob6Hd5iay0kxUxUGqlubx+dJXabe6KI/spjyyi6qQbtxGT+Ci8cyWHZ19s5lt2Ew2UvN8iNvZg9tqQfEnDgAAIABJREFUpO26RD5LrWH3nr/jb/HH3+yPzWzD3+yPv8VzX2vNE9ufYFPFJkaGj+TRiY+SHOiZOerqcLLpnXz2ri/DFujDnPszSM4OG7DXoIkrS4I9gQ8KPqAzdhIOnyNUtpbR4+uLslrpLjx15jgJhIQYAIZNu5rcLZ9xZEcOFl9fSg/sZfrd959w9tAcGYn/9Gk0Lv03oQ89hOE09mk4nru9nbpnn8VvwnhsY8d6lrtEj4BNT8Goe764UP2zJ6Gr2XMB+wVkNBkYnOhkV3ECqslFEgexxi3ote6ClAU8t/c59gVXExASxvYP3iX1Bz8AFGz8MxxZR8OYH1H80mdMWng7DV2NfFz8MbcMugWrydrra55vU6Zl8/r6LXy2YQ8LJ09jQ0khFQV2Ig5+iBp776lfwCt/y0YAbOVOCuKyMRgVicNDTtHq9F2bfC3XJl972vWdbuexoKjL2YXT7cRsNGMymDAbzJ6b0Uxbp+a3Hx7k9a0lBIXa+MmNmYxNOnk5n7PbRX1FG3VlrdSVtlFb1kJtaStdbU562qAH0L4d+NXtw58GQqfPICQlhqAIXxKzpxMcs59961bQUbIDgy7F5L+PjOlzSJ82hPLCQo6U+HOkvoIjLY3sN5tZZTHhDvd8oTeiSGzbRfrnn5O+7qekB8STnjiTiNu+Svj3v0/Hrt2eoOijj2hZuRLl50fAjBnY583Df8pklOksPnLb6z0zPKVbPAFN6TZs3S0MAYb4h+EeNJ4q6xSKWwdTVDKKzSVtbC4H3+1m4oc2E5EEHc44ylqnUu6TTkXobCpbKuh0OVFVCnOFIs7lZrQziXBzIGH+cfgHpYAhGswWJoXM47mqv7Ho/UX8aNyPuCH1BpRS6O5umpYtp27xc3Tn5WOKjiLipz8h6MYbMdh6n9nq6Xaxd20Z21cU0dnWQ2JmKOMWJBEaG3BS3dhBDkKifCnpmEXNP54l7i9/PvPfXX+0hs//RlNNAnWGKLqMkTB8P4E+fV8nExTux5RF6Yy7Lol9G8vZs6YU66o0FoX/lLaGf9HhqGPU+PEogwGVpVBK4WrvQRU0YM2vI6WwgdRCX7TZCIkOVGoYJIegbBZvlzQd9Q0YP8rFUtZGU7yF3LEGGgx5tBXuorW7Fad29tk/m9nGz8b9jJsH3YxBGdBak7etmo1v5NLR0k3mtFjGLUi+7K4zE6I/ifZENJoSv0Bi/dqobNXkb9+JLe70UmjLX4MQA0BS9ihsQQ72rl1FZ2sL/sEhZM48eSbDsegWWj9eTcvKVQTOP/0vswD1r7yCq76esIce9hQc3WD13/dC7koYNAdaqmDT0zD8ZogYdj4OrV/Zt4xm72N7cJmsDJ3S93K/5KBkMkIyWFa4nP+evYgNr75ATU0TYdHZnlktn0B21zgwGI1kzLiGJXlv43Q7L2iShP8UEu2PIaQb38JILHM9e+eU+tpJX/UWtjMJhD5dSaCxg9jidvJmjiFusAMfv3PbyPZcmAwmTAYTNnPvX46PCvKD396YyXVZ0fz4rd0s/Mfn3DkhgR/OGYy/zxcfVSaLkfAEO+EJ9mNlWnuSN9SWtVJX2kptaSt1+SZKyhXuV0qBUtwKDNozbOOGXUvqqDvoqVzJ7jUfk/P+i+xe7mRYYBUzYnsIHn4NpF0DydPoMvtQ3FxMflM+h+sPk9twmF21+/iwsxZohrK3CSxeSrpLeQKjqeNJv/tPRBd10PXRalpWrqR52TJM0VEE33Y7QTffhNFuP/HgXU5oLILaXKg97LnV5Xl+ttd56iiD528qaxHEjsUdO5pmv2Dquxqo76ynuasBOisx1DfRVgBtxb607Gjh0ObjA/kIooigr4TFDUAjbhQuFEVojLgxci0P4TJ0sX1XKYes/8v0mkqsew9iqa3EGm4hekEU9qF2lHob3nobji5JDIyBqGxc4Vnsyw1h28oy2pu7iR8azNjrkolIsvfRE89MTPbsRFa/0EHR1mLCC47gk5zU7xg6IyVb0GXbqT80jKLB8+g0tXH1zLGn1dTHz8zIaxLImhlHwfYatry3mdbqIqyB05lWtoD0sZGExvl/MeMyzfPD2d1Nyb7d5G/bTH7OZlpzD6CUgehBg0kZNQ6rfwDrXn8Ot9PF9PsfJmP6rBNmbbTWdLu7ae1upbXHc2vrbqO1p5V2Z7tnGbDNM73aVNPB+tcPUbyvnrD4AK59IPOEvxkhBopjmeNMRtJsFeQQRn5ODqMTE+gqOHLK9hIICTEAGIxGhk6Zwdb3/g3AzK//V687c9smTcQcH0/D66+dUSDkam2l/p/PYZs8Gb+Rx23eOvT6YxusMmgObPgjuLph2o/P+ZhOh39yHGmdL9DcZiT2xof7rXtdynX8Zstv8J2RgunfPmz/8D1mp06H8h04R9zD3qUbSB09Hr+gIJZ+spRREaNIDur/ouTzLXNCIu5lFj48spHEtEFUdO2h+fP92LrbT74Oqxdd7e2UFJQS09NJfWA02hV43pbFXSyTUkNZ8d0p/GHFIV74rJDVB6p57KvDmZre93FoDRXd3ezq7GB3Zwu7u5rYb3CTGlTIb9UbGNyBbDBcz2edYSQ79nNLyCGCP1sHbTUMD1FUJI5hZ2Mcuwp82LHHRaIhmOzYSJIsNnwMRtIcaaQ50k7YS6q5u5nchlwOV27ncPF6Djcc5q2OEjoKSqFgKQYgfqiDQZOyGVfiT9xHu3H+4Q9UPPlnqsZFUjbWnw7fVnRbHbqjHq3daEADbosf+AWjE4aifR20WgNoMJlp6GmhobOA+oM5NO1q6nPZob/ZH8cgB47MYGIM8QwOHsTg0MEMDhmMzeLn+XKtwGDwzFooA96fCrrbji2lc5dso6HVn5r2SCobwimoDaWLsWwzWiADTKqLcFsVYb4VhFVVEm6rIMhSR5cTCusUrQ3FVLWXUNJVQpe2YbfUMTiyEbspkOKN0RTtjPBcu4TnS/7xecfNVivB0fFY/XooiZ9F8j//SfRjvz4fQ8xj01O01gTT1KioG5xGadxWxsWd2b5dRqOBtDER5G/Np+aID4mZk9n9SSk7Py4hKMKP1NHhpI+JwBHpOQlgslhIGjGapBGjmXnvt6k+kk9ezmbyt21m/SvPAxCVOoi5Dz2CI/Lk5bBKKXyMPvj4+hDi2/ssr8vpZufHxWxdXojBoLjq5jSGT4vBIMkQxAB1LBCihwnmEgzmkZQf3oNlUAata9ehXf0vz5ZASIgBYti0q9n63r8JCAkjY8Y1vdZRBgOORQup/sMf6Tx8GGt6+mm9dsPLL+NqaiLs4YdOfMJohnH3w6qfw4FlkPM8jLwDQlLO9XBO24TvX4uzquqUF6jPTZrLH7b+gZVVn5A1ZQZ7137M5Fk/xa90K7mmUXS2bCNz1lw2VWyitLWUB0c8eJGO4AvDxyewc1k5+Tk1zJx4FRtyD1Fa5k9k7hrUsFMHrkU7NuPWEFHSwe5hk0BBUtblFQgB+FlMPHrdMOZnRvHDpbu5a/EWbhwZy8/nDyHQ10xJfQe7yxrZXdrErpJG9pY10dbt8rY1khETyJ0TEhgem0VQ6AJi136XYbnf5X6rAeV203jYRn7UZJKvuQGVOotoWwjRwNTGBnav/ojdqz7knd//ksCISLJnzWPY9Fn4+p+4fMtusTMqYhSjIkZB1jcAcPd0UnboPQ7lLudw9XYOt5Wxv62aFRYzLIDEsUau3epi0sZSItfDtjTFsrEGDsT5H0sxr/AGJ7Sjujqguwxbuw2Hj4NgazAJ9gSyw7OPPXZYHTis3vs+nvsW4zlshGmxQcoMSJmBAfDPz6dr8WL0sleIcLlwTZvAs8ltlGkbU3yuwdkxjL2liTgrmnH15KOd+bh6ikG7gUjACeQAUN8B9U3AoVJg32l3qVH5s2JPM8nP/o2IYcMJi0/CERWN4Wz3RGsshgPvUV88nLK0a9BohlwVcVbXzLQ3N3Hws/VkTLuaq+8bS2drD/k7qsnNqSLng0JylhcSEutP2uhw0kZHYA/1XDOmlCIiOZWI5FQmLbyN5tpq6ktLiMvIwng2SyiB8rxG1r16iPryNpJHhDF5YRr+jouztFeIS8VmthHmG0ZRVz1+5jYsPjF0NOfTEeJA9/TQU1HZb3sJhIQYIEJi4hj/1UVEpQ/GZO57KVTgV79KzV+epPH1JUT+z89P+bqu5mbqnn8B/+nT8R0+/OQKI+/0bJy69B7P8p0pPzyXwzhjRzdUPRWH1cHk2MksK1jGHbMXs2vVh+zamceEu5ex69Ef4oiKJn5YJk+se4QgnyBmJcy6wD0/mT3UF/9YI3HVwyiO7kQpRZnNzuDlrxJwGoFQ/rplWHAS2tyBK3gCMVGBF2V3+AtlVEIwyx+ezF8/yePv6/L55GAVAA3tPQBYjAaGRNu5cVQsmbFBZMUGkhzmf9Imrdy6BLb+E9VaSUvcdH74mZmVB+u4xi+CP6TZOXpViC3IwYQbb2Xs9TeTt3UTO1csY92/FvPpG68weNJUsq6eQ0RK35tkGsxW4jIWEpexkKu19ixtO/wR3Uc24LSFopJSMVyXioswmj/8nHFv/psxrzTiM2QIwXfdReC8uf3ufXQmXG5NSX075Y0dTEw9MWmB7u7G1dqKu7kZV0sr7pZmXM0tuFqacbe0en42t9BdVETbxo0oqxXHzTcTfM/dWOLi+E1PO3/I+QNLtv+GMTqRTFsMbdWFAPjYQrE5JtDdlUBITCwj5yQQNzQYg8EAKNAa1VwKVXtQFbuhajdU7IaOBpQ3u50KG0xHwtXUxl5HeV4+W9/bSouriG0ff4T++EMATGYLIXHxhCUkeW7xiYQmJJ0UsPZqyzN01JtpPtJMyZTRHAnexY+y7zir3/Oe1Stw9fSQPdszm2T1NzNscgzDJsfQ1thF3jZPULTpnQI2vVNARJKdtNERpI4Oxxb4xTWc9tDwU26OejyX001zbQeNVe00VLVTXdhC/vZq/IN9uPbbmSRmnnvqbiEuF/H2eIpailGOeEIbAylthaqeLgKA7qLCfttKICTEADJp0ak/zE0OBwFzZtP07ruEP/L9Pi9sPqr+hRdxNzcT9lAfMyS+QTDiDk/K7AkPeq4L+JJakLKANSVrOGwoIzF7FLtWfkDyiDGUHdzP1Nu/Tm1nHWtK1nDH0DvO7az6OciekEzrmy5WHHqL2RlZVHRtpWn9dgL+W/e7Ma3b7aLgQC4hrR0cSAzD0Hb5LYvrjdVs5AezBzF3eCRPrs4lyNdCZlwgWbFBpEcEYDGdxpIfgwHGfROAAOAfaZrnNh7hdx8dZN6TG/jr10YwIt5xrLrRZGLQhKsYNOEqaoqOsGPFMg5sXMveNSsJS0hi+MzZDLlqGlZbP7OQSkHYIAgbhGXSd/jP0eQ3dBLhDzxI07vvUf/SS1T8+MfU/OlPOG77GkGLFmFyOHp92f/U7XRTVNdGbnUreaUN1OYW0FZwBEN5KZHN1YR3NBIVZcXd0oK7pQVXSwu6o6P/FzUYMAQEYAoKIvSBB3Dc9jVMwcForanMzyVv6+ckbK3iq6UxQA/5gbkkzxzH9XPvJSQ23pNMwa09S+16YxsEUYMg+ybPY62hqQTKd0LFTijejH/On/F3OEi86Ts4ndnsXVvM5JxfEvncX6hvrKemuJCaoiPkb9vC3jWrjr20f0go0amDmHnft/Gz95L4oKsVtr1EfXk6VfEj0NqCIavp2LU1Z8LtcrFz1QfEZ2SdsIfbscMM8iFrZhxZM+Noru0gb1s1h7dWsfHNXDYuzSUmPYi00RGkjAjH6n/yyauj1741VLXTePRW3U5jZTvNdZ1o9xdLCX0DzIyYFc+Y+UmYfc4tVb4Ql5tEeyJrStZAUAJh1ibKjHbKayoZBCds4NwbCYSEuAI5brmF5vfep2n5chwLF/ZZz9XYSP2LLxIwa1b/6WsnfQe6W2Dy2aXlvlimxE4h0CeQ9/Lf47/mLuKt3zzKsid+h9FsZujUmfwrbwku7eKm9JsuWR9TR4ezcelhnIf9CBo5mKI9OyktNRNdmIMhaUyf7coP7KGz201kbRufTpxKcAcDIhA6alh0IP+44/ykY1dKcd/kZEYnBvPgq9u5+enP+dGcwdw3Oemk2Z6whCSu+eZDTL39Xg5+upbdq1fwyeKnWf+v50kfP4nMmXOIHjTkrJZVGaxWHIsWErTwZto2bqT+hRepeeIv1P79aQKvv57gu+7EJ8WzzLSzx0V+TSt5FU2UHyyg8XABzuJCrFXlRLXWEN1ay4z2Box88eXY6R+AITIag9WKOTwcgz0AY4Adoz0Ag3+A5+fRx8d+BmDw80N5s0C6XS5KD+wl9503yMvZRGtdLcpgIHZIBplXzyVoWAqPHXyc9yreZm9eC4+GPUqQNajvIKgXGqg2+5AXGEKeTiDPpweHpZPvffz/UFFZZM0cy561pZSFTSBm9VqGff97X7TVmvamRmoKC44FR4c+34DVP4BZ3+zl5M2u1+ipb6VpXyNF06+m2lrEnLHTzvjfDiBv6+e01tUy855vnbKuPdSXkbMTGDk7gfqKNvJyqsjNqWbtK4dY/9ph4oYGk5ARQkdLtzfg8cz29HR9cX2DyWwgMNyP0LgAUkeH44jwIzDCj6BwP6y2S5cQRYhLLcGe4Eka4xhOCIcxGOMpyT1Iuq/vKVNoSyAkxBXId8QIfNLTaXj9dYJuvrnPL3F1i5/H3d5OaF+zQUfZo+D6v12Anp5fFqOFOYlzeCfvHX5+088Ijo6lvryUIZOn4+Pvz9LDSxkXOe7YxZeXgi3Qh8g0O2nFo9jsdxA/g4GyADutby/G/v2+A6H8T95CaY3V2UGA31WEhQUcux5B9C47LojlD0/mh0t38esPDrCpoI4/3pyFw3bybKCPnx9Zs+aRNWseVQV57F79EQc/Xcf+9Z8QHBNH5szZDJ0yA9+AM8/M1ePSNA0fTe2jGTTsO4j57TdwvvU2jW+8QX7ScAr9wgiorSC6tYbk9nrStfuLtlY/XFGxWIaNwpGejC0lGUtCApaEBIxBQWf1e9FaU3pwH3s/WUn+ti10trZgMltIyBrJVYvuIHnkmBOO85m4Z3hp30v8Zcdf2P3+bh676jHGRY3r9bXrO+vJb8wntyGXvMa8Y7eW7pZjdQLMAbQ4WxgdkcKUN+8h8P51JGeHUcJ0al//JSH33Xss855SCluQA1v2KBKzRwFgDQhg50fLGTlvASGx8V+8udsNm/5OfXky9cFJdLoCKIhfxc/ibz+r39OOj5ZhD4sgeVTff5e9CY6yMfa6ZMbMT6K2pJXcnCpyc6oo2lsHCuwhVoLC/YhKiSIowu/YzT/I54wCTCGuFEc/s4ttQQTrdRjMo+hu20t7QhwBp0ihfcpASCm1GJgPVGutM7xlwcASIBEoBBZqrRuU59vUX4B5QDtwt9Z6u7fNXcDPvC/7K631i97yUcALgC/wAfAdrY9LHSOEOO+UUjhuvYXKX/ySzt278c3KOqmOs76e+n/9C/vcOaedVOFysCBlAUsOLeHjktWMuvYrrHr2r2TNmsen5Z9S0VbBI6Mv/azWkLExVB5u4YPDb3LviFGUb/6cxjWbsH+/7zb5O3YR3NrBhuF2/OsCSZ40cGaDLqRAXzNP3z6Klz4v4tfLD3Dtkxt48tYRjE48eQ+joyKSU5mV/CBT77iXQ59vYM/HK1j70j/Z8OoLpI2bxPAZs4kbNhylFN1ONwcrmylv7KC6pYuq5k6qmruobumiurmT6pYu6tu6T3yD4KtxzJ7ATWVbuPrwRuJ7DtMZHoXKGIIpNYWwwSn4JSd5gp2QkPO2MWZXezsHNqxh16oPqC0pwuLrR+rocaSOnUBi5kjM1t4vvDcoA3dn3M3YqLH8aP2P+MbKb3D3sLuZET/ji2CnIY/cxlzqO+uPtQuwBJAWlMbcxLmkOlJJDfLc/C3+3PDuDTzu72ZiQxWmJXeQPf1NCnbWUOafQfirrxH6rfv7PI7xX72FfWtXs/6V57nhR49+8UTuSlxVBTQeSKRs3A20mZrIHp+M2XDmsyk1RUcoPbCXKbfdg8FwdkvRlFKExQcQFh/AhK+k0FLfiV+gBZNZlrYJcSYS7YkAFJrNTDeVYDDFA4q6YDuOcw2E8AQpfwVeOq7sx8BqrfVvlVI/9j7+ETAXSPPexgF/B8Z5A6dHgdF4ZsG3KaXe01o3eOt8E9iEJxCaA3x4Gv0SQpwD+3ULqP7DH2l4fUmvgVDdP59Dd3YS+uDFz552IQ0PHU6iPZH38t9j8ezFxAwZRkhMHL/95CmCrcHMiJtxqbtI8ogw1r52kJjKIbQN96drm4niYoipLMAYeXJK74bSIhraXAxpbmf7hAkMKhtYy+IuNKUUd01MZGS8gwdf286iZzbxyDXpfGtKCoZ+zsBbrL4Mn34Nw6dfQ03REXavXsGBDWs4+Ok6sIdSGp7JWncCDfqLAMJoUIT5+xBh9yHW4ceoBAfhAVYi7D6E2328960E2ywYDQuPpZU+ulTtQqgpOsKuVR+wf8Naejo7CE9K4Zr7H2bwxCl9Bj+9GRoylCXzl/DHnD/y/L7neX6fJyW0r8mX1KBUpsZOJSUohbSgNFIdqYT5hvUZxH135Hf53trv8e6ke7nxkz8Tuf8XRCTeQ5m+lvgXf0/wXXdi8O19xtPPHsi4Gxay4dUXKNm3m7hhmZ4nNj1FY1kULQRRqyPZF7mcRwc/cGa/LK8dH72PyeLTZ4bOM6UMSmZwhThLsQGxGJSBIuXEz9CA1deKUcVS7WwmvrS037anDIS01uuVUon/UXw9x7YI40VgLZ5A6HrgJe+MzialVJBSKspbd5XWuh5AKbUKmKOUWgvYtdafe8tfAr6CBEJCXHBGfxv2666j6Z13iPjRD09YRuOsqaHh1VcJvG4+PskXdy+dC00pxYKUBTy540nKWsuIjYmjsq2S9aXr+XrG1zEbL/1ae6vNTMLQEDoOj2aFcQljzSbKAwNoef1pgr77+5Pq5698HYD6oA6S3ZMJivDDEXXqfYfEiYbHBvL+Q1fxk7f28PuPDrG5oJ7HF2YR4u/TZ5v2bifbixrZfKSbzT1Z7ImKIb4pl4zW/cTmfcJtykBAWibB4eHYrBZ8fUwYjUaUwYBSBlSPAUOjAdVsQBkMdBgMFClFscFTx2Aw4B8SSmRyKv7Bve8dczacPT3kbtrIzpUfUH74ACazhUETp5B1zVwiU9LPepbJz+zH/0z4H+Ynz6elu4WUoBSi/aMxqDML5GbGzyQrLIu/Va5n7lXfx2/j42QNnczKwnCqjLGEvbmU4Dv7Tg4zYu517FyxnHX/Wsxtv34cVb0fnb+Ohtx0KkbcjFs5MQxtJjnwzP9/62hp5sDGdQyZPO30stQJIS4oi9FCtC2aop4WlAKHvYNGlUhN5UZ6XM5+257tNUIRWusKAK11hVLqaM7HGKDkuHql3rL+ykt7KRdCXASOW2+hcckSGt95h5C77z5WXvvss+ieHkK//e1L17kLaH7yfJ7c8STLCpbxraxv8VbuW2ituTHtxkvdtWPSxkZQuKeO6uJ2wrIzqdy0lcaP1xH03ZPrHt74Gf4dXazJtDCyMojk2X2faRf9s1vN/PXWEUxIDuGXy/Yz78kNPHnLCMYle4KQls4ethU1sPlIPZsL6thd2oTTrTEoyIgJ5PZJKYxNGsuYRAeu+ir2fLKCQ5s2UlWWi3a7cbvdaO/N7XafsInoqdgcwUQkpxKZnEZESioRSanYgk4vu9xRjVWV7P74Q/auWUVHSzOOqGim3XkfQ6fOPK9f6kdGnF5a+74opXhk9CPc+eGdvBwawf2ps0g58DABgUsoG3I9UYufxXHLoj7TjZstPlx1yx18+LfHOfjZeobUvUlLRSDtTS5KfQZxOGQLCzLmnVXf9nyyEmd3FyPmXHcuhyiEOI8SAhMobCsHayDB7lpq6mPQWlPv3/9M6/lOltDbJ68+i/LeX1ypb+JZRkd8fHxf1YQQp8k6eDC+2dk0vr6E4LvuQilFT1UVja8vIfAr12NJuHRJAy6kKP8oxkaO5f3897l3+L38O/ffTIyeSGxA7KXu2jFJmWEYLQbS68ZQmN6AxWiksLqH2JpKTGGRx+p1NjVS2eoktqsDd/hEqIeUEbIs7lwopbh9fAIj4oN48NUd3PrsJhZkRVNQ28besibcGkwGRWZsIN+YkszYpGBGJzgIsP7HbKJfHNPuvI9pd97X53tprdHafVKQpN0at9uFdrtprKqkqiCXqvxcKgvyKNi+9VgAdXS2KCI5jcjkVMKTU09KG+12uziyI4ddKz/gyK7tKKVIGTWO7GuuJT4j84IuuzsXI8JHMDN+Jov3Pc+N814h9OUbyep5g43Gm6lvs9D0/vsE3dj3yYshV01j2/J32fjq86SGf0RdYRLVQ2bhdhvIjd3M7xJ7OatwCm63i12rPiB2aAZh8YnncHRCiPMp0Z7Ijqod6KB4gpuKcTrHYzJbqA3of3XE2QZCVUqpKO9sUBRQ7S0vBeKOqxcLlHvLp/1H+VpveWwv9XultX4GeAZg9OjRklBBiPPAcestlP/ox7Rv2oRtwgTq/vEPtNtN6H/916Xu2gV1Xcp1/PzTn/PXHX+lur2an4776aXu0gnMPkaSMkPp3jOKJc7/5RZLOBVBAbS89jSOh//fsXqH33warRQH4zrIap+Cv8OHsHhZrnM+DIv2LJX7+Tt7WbGvkoyYQB6Ynsq4pBBGJgThZzn3c4lKKZQygsFIX5fI24IcxAwacuxxd0c71UcKqDqSR2V+LlUFeeRt3XTseXtYxLGgSLtc7P5kBS21Nfg7gplw4y0MnzmbgODLY8PN7478LmtL1vL04df52aJ/MeSZBWwxLqBs2A2EPvMsgV/5CsrY+29OGQxMuf0elv7qZ2ztCCewtIWSoZOptBYwbng2fuYzXz6av20LzTXVTL3j3nM9NCHEeZRgT6Dd2U5t0FDHhWwtAAATbUlEQVSCGw+i1FWEJQ6mtq2933Zn+7/4e8BdwG+9P989rvxBpdTreJIlNHmDpRXAY0qpo3P41wA/0VrXK6ValFLjgc3AncD/nWWfhBBnIWDOHIyP/YaG15dgSUig4c2lBN14I5bYL8/syIUwK2EWj21+jMV7FxPuG87U2KmXuksnSRsdQV5ONYH1MfhkRFPV2UX9ilUnBkJr1mPpcfNepmbRYQfJk2VZ3Pnk72Piz4uy0Vp/aX6vFl8/YodmEDs041hZV3sbVQX5VBV4Zo2qCnI5vPlTAOIzsph2532kjBqH0XR57ZqRGJjITek3sfTwUm4bchtJX/kdQ1/4kF2uBSRWttCyciX2uXP7bJ8wZAhJ9lZymuIYnhBBe5eJnQlr+N/U/z6r/uz86H0CQsJIHT3+bA9JCHEBHE2hXWhzMKRzDXAf9rBBVFh299vudNJnv4ZnNidUKVWKJ/vbb4E3lFL3AsXAzd7qH+BJnZ2HJ332PQDegOd/ga3eer88mjgB+C++SJ/9IZIoQYiLyuDjQ+BXv0r9yy+jnU4U9JuadqCwmW3MjJ/JsoJl3JB2AybDl+8LYsKwEHx8TYxonsq2mPWkGwwU1nURX1mJOTKSnsYGyro0vsZOEo0T0U5Pxjlx/n1ZgqC++PjZiM/IJD4j81hZR2sLzq4uAkIuj9mfvnwr61u8n/8+f9n+F56Y/gSZV+1j10pNxeC5BP3jGQLmzOn732fvW0zwzePVpiwOR0fS6deCIamNrLCTM2WeSm1xIcV7d3PVrXdh6GMWSghxaRxNoV1s8WG0rsRiNWDySTxlu1MuDNZa36q1jtJam7XWsVrr57TWdVrrmVrrNO/Pem9drbV+QGudorUerrXOOe51FmutU723548rz9FaZ3jbPCh7CAlx8TkWLQSnk9bVqwlauBBzVNSl7tJF8bXBXyM5MJmb0m+61F3pldFsIHlEGNE1g9hCLj5WExVBATS/+SIAuX//PU6jke1J7Yxsm4bV30xU6tltoikGHl//gMs+CAII9Q3l6xlfZ3XxanZU7yDg+p+RGnyI0qARtOUW0rZ+fe8NtYZNT6Eqgols1bS27WOv/SO+mn7DWQW2O1Ysw2g2M/w8pcwWQpw/kbZILAYLRQaNUhAcAu2t/vg7+t4TDk4jEBJCDHyWxERsEyeifHwI+eY3L3V3LprhYcN59yvvEmmLPHXlSyRtTAT0GEhqzqRtUBA1dl9qly9Ha83hz7dg0G62pvbgUxZCUlZov/veCHG5umPoHYT5hvGnnD+hDSay75iPU/lSmTiR2qf+Rq/nUIs+xVW0h8ZDGr+kGwAD9oY85ifPP+P372xtZf+GNQyeNPWkZBRCiEvPoAzE2+MpdLUBEGxvo6GynWu+9Z3+212MzgkhvvyiHvs1CS+/hDki/NSVxUUTM8iBr93CxPbZrAvMx60MFDV10vT++5QbTGDtZph7Aq4uLZuoigHLz+zHA9kPsKtmF6uLVxM+JJHoeAOlMVNp272Pjq1bT2606e80FIXSpX2pJIWmsCjiK33oLqs94/ffu3YVzi5JmS3El1mCPYGijhpA4bDW0NnaQ0Ty8H7bSCAkhADAHBmJb2bmqSuKi8pgUKSODMevIoJKnw7MfgYqHP7k/uoXdPiY2ZrYxuiO6ZitRuIG978EQIjL2fWp15MalMoT25+gx91D9rXDaDeEUheVSe1vf3Ji5fojuPctpz4vgJrxX8PtgvWDD2Py92Pdy4t7n0Hqg9vtYueKZcQMHkpEUsp5PiohxPmSYE+guLUEV0AUwYZCABoq2vptI4GQEEJ8yaWNiUA7YVzX1RQnamr9fSn2bhJXENWJtSSMxIwQjGb5L10MXCaDie+N+h5FzUUsPbyUxOGhBIX7UjZoPq37y+lY/uwXlbc8Q3OJjZ4WJ8X+mbREVmAMh8kL76Ts4D7yczaf9vse2ZFDU3WVzAYJ8SWXaE/E6XZS7ogh2L0fgHoJhIQQ4vIWmWwnINhKdvMUNoeUgVIUhgbS49dDumUcPe1ukkfIkkYx8E2OmcyYyDE8vetp2pxtZF0dT72OoiU0hbonfw91+dDZjN72MvVHIqnPnEdHB2xwvMv1qdeTffVcgqNjWf/qC7icztN6zx0fLcM/OITUMRMu8NEJIc7F0RTaRQEh2Fr3YrEaJRASQojLnVKKtDHhuEqsuG3+uAPcoBT7o9sZ2zETo8lA/DBZFicGPqUUj4x6hPrOehbvXcyg8ZFYbWbKx95FS5GRrr/fCpv/QVtJN51V7ZQmzISgbooDD3BD6g0YjEYm33YPDeWl7Plk5Snfr66shKLdO8i6eu5ltweTEFeaY4GQjy+qpZzgKD/qyyUQEkKIy17amAi0G+a6F7EvxvMfe1F4O74l4cQNDcZilS9p4sowLHQYc5Pm8vL+l6nvqSVjagzlHSF0BEZT92k1rPkV9UUxtMaPoL7ZxO7ItYyJGkOcPQ6AlFFjiR2SwedLX6W7o/9d53euWIbRZCLz6jkX49CEEOcg2BpMgDmAQgOAxhGsaaiUQEgIIS57ITH+OCL9SKgezs6Eej4ZX09C0Cg6m1ySLU5ccR4e8TBO7eSpXU+RMTUGg1FRNfk+mor8aCn3oe1IJ5UjF2G0whb7Km5IveFYW6UUU2//Ou1NjWx97999vkdXexv71q5m0MQp+AXK/lxCfNkppTyZ49yeExzBAc10tPT020YCISGEuAx4lsdF0FzsZLBfFsXBLYzrnIUyKJIyL/9NM4U4E7EBsdw6+FbeyXuHcncx6WMjKe6KoscngLLN0XQFRlLaHEBD0hF8rT7MSph1QvvI1HQGTZxCzrJ3aKnvPZ32vrUf09PVKUkShLiMJAQmUNRVD0CwT/Up60sgJIQQl4m00RGgYbZrIUZlxFYaSUx6EFZ/86XumhAX3f2Z92Mz2/jztj+TPTMOZ4+mbvp96K4uaibfDRo+sr3GvOR5WE3Wk9pPvvVOtNvFZ2+8ctJz2u1mx4plRKUNIjIl7SIcjRDifEiwJ1DRXk2nyYdgVXDK+hIICSHEZSIowo+w+ABsxVG8Pult2mp6ZFmcuGIF+gTyjeHfYEPZBvIM+4gbGswRQzrmiVMpciZgTumk3lzFDWk39N4+PJLs2fPZu/ZjaooLT3iucNd2GisrZDZIiMtMoj0RjabEEYOt6zAWq7Hf+hIICSHEZSRtTAQ1RS2UbegAIClLAiFx5frakK8RZYvi8W2PkzUzlo5WF3szvklXp5stYR8xyDGIocFD+2w/7quL8PHzY/0rz59Qvv2j97EFOUgfP+lCH4IQ4jw6mjmu2B6GaiwkeUT/n5ESCAkhxGUkdZRnv6CDmyqJSLLj7/C5xD0S4tLxMfrw0IiH2F+3nz3WzQRH2yg73EhAtJlNeg03pN2AUqrP9r7+AYy/YRGFO7dRtHsnAPXlZRTu3Ebm1XMxmmTZqRCXk6OBUKHVBg1FzLyr7xMhIIGQEEJcVgKCrUSlBgKc8kyXEFeCa5OvZXDwYP5vx5MMnxENQFXKASxGC/OT55+yffac67CHRbDulcVot5udK5dhMJrImjX3QnddCHGe2cw2wnzDKDIaoLMROhr7rS+BkBBCXGYGT4jCYFSkjAi/1F0R4pIzKAPfH/V9ytvKyQn6hDkPDuMd9RIz42cS6BN4yvYms5mrbr2TmsICdq36kH1rPyZ9/CRsQY6L0HshxPkWb4+nSHd5HjQW9VtXduATQojLzJCJUSRkhGALlGVxQgBMiJ7ApOhJPLvnGawjfGjuaeozSUJvBk+YzLZl7/DJ8/9Aa7ckSRDiMpZoT2RNQ67nQUP/gZDMCAkhxGVGKSVBkBD/4XujvkdLdwu/2/I7YvxjGBc17rTbKoOBqXd8Ha3dRKakEZU26AL2VAhxISXYE6jvbqbZoKChsN+6EggJIYQQ4rI3KHgQC1IW4NROrk+9HoM6s684cUOHM/3u+5lxz7f6TbAghPhyO5Y5zuaQpXFCCCGEuDJ8Z+R3cGs3C9MXnlX7kXNlSZwQl7tEeyIAhfZwMk4xIySBkBBCCCEGhDC/MB6b/Nil7oYQ4hKKDYjFoAwU+Qac8hohCYSEEEIIIYQQA4LFaCHaFk2RU0Njcb915RohIYQQQgghxICREJhAIT3g6uq3ngRCQgghhBBCiAEj0Z5IUXcT+hT1JBASQgghhBBCDBgJ9gTa3V3UGvsPdSQQEkIIIYQQQgwYR1NoF5ot/daTQEgIIYQQQggxYBxNoV0cENpvPQmEhBBCCCGEEANGpC0Si8FCUcKYfutJICSEEEIIIYQYMAzKQLw9nkI/e//1LlJ/hBBCCCGEEOKiSLAnUNTc/4aqEggJIYQQQgghBpQEewLFLbKhqhBCCCGEEOIKkmhPxOl29ltHAiEhhBBCCCHEgHI0hXZ/JBASQgghhBBCDCgSCAkhhBBCCCGuOMHWYALMAf3WkUBICCGEEEIIMaAopRgfPb7fOhIICSGEEEIIIQacx6c93u/zEggJIYQQQgghrjgSCAkhhBBCCCGuOBIICSGEEEIIIa44EggJIYQQQgghrjjnFAgppb6nlNqnlNqrlHpNKWVVSiUppTYrpXKVUkuUUhZvXR/v4zzv84nHvc5PvOWHlFKzz+2QhBBCCCGEEKJ/Zx0IKaVigIeB0VrrDMAI3AL8Dviz1joNaADu9Ta5F2jQWqcCf/bWQyk11NtuGDAHeEopZTzbfgkhhBBCCCHEqZzr0jgT4KuUMgF+QAUwA1jqff5F4Cve+9d7H+N9fqZSSnnLX9dad2mtjwB5wNhz7JcQQgghhBBC9OmsAyGtdRnwR6AYTwDUBGwDGrXWTm+1UiDGez8GKPG2dXrrhxxf3kubEyilvqmUylFK5dTU1Jxt14UQQgghhBBXuHNZGufAM5uTBEQDNmBuL1X10SZ9PNdX+cmFWj+jtR6ttR4dFhZ25p0WQgghhBBCCM5tadzVwBGtdY3Wugd4C5gIBHmXygHEAuXe+6VAHID3+UCg/vjyXtoIIYQQQgghxHl3LoFQMTBeKeXnvdZnJrAfWAPc5K1zF/Cu9/573sd4n/9Ea6295bd4s8olAWnAlnPolxBCCCGEEEL0y3TqKr3TWm9WSi0FtgNOYAfwDLAceF0p9Stv2XPeJs8BLyul8vDMBN3ifZ19Sqk38ARRTuABrbXrbPslhBBCCCGEEKeiPJMyl5/Ro0frnJycS90NIYQQQgghxJeUUmqb1np0b8+da/psIYQQQgghhLjsSCAkhBBCCCGEuOJIICSEEEIIIYS44kggJIQQQgghhLjiSCAkhBBCCCGEuOJctlnjlFI1QNGl7of40gsFai91J8SAJmNMXGgyxsSFJmNMXGiXcowlaK3Denvisg2EhDgdSqmcvlImCnE+yBgTF5qMMXGhyRgTF9qXdYzJ0jghhBBCCCHEFUcCISGEEEIIIcQVRwIhMdA9c6k7IAY8GWPiQpMxJi40GWPiQvtSjjG5RkgIIYQQQghxxZEZISGEEEIIIcQVRwIhMSAopRYrpaqVUnuPKwtWSq1SSuV6fzouZR/F5U0pFaeUWqOUOqCU2qeU+o63XMaZOC+UUlal1Bal1C7vGPuFtzxJKbXZO8aWKKUsl7qv4vKmlDIqpXYopZZ5H8sYE+eVUqpQKbVHKbVTKZXjLfvSfV5KICQGiheAOf9R9mNgtdY6DVjtfSzE2XICj2ithwDjgQeUUkORcSbOny5ghtY6C8gG5iilxgO/A/7sHWMNwL2XsI9iYPgOcOC4xzLGxIUwXWudfVza7C/d56UEQmJA0FqvB+r/o/h64EXv/ReBr1zUTokBRWtdobXe7r3fgudLRAwyzsR5oj1avQ/N3psGZgBLveUyxsQ5UUrFAtcC//Q+VsgYExfHl+7zUgIhMZBFaK0rwPMlFgi/xP0RA4RSKhEYAWxGxpk4j7xLlnYC1cAqIB9o1Fo7vVVK8QTgQpytJ4AfAm7v4xBkjInzTwMrlVLblFLf9JZ96T4vTZe6A0IIcTlRSvkD/wa+q7Vu9pxMFeL80Fq7gGylVBDwNjCkt2oXt1dioFBKzQeqtdbblFLTjhb3UlXGmDhXk7TW5UqpcGCVUurgpe5Qb2RGSAxkVUqpKADvz+pL3B9xmVNKmfEEQa9ord/yFss4E+ed1roRWIvnerQgpdTRE5exQPml6pe47E0CFiilCoHX8SyJewIZY+I801qXe39W4zmpM5Yv4eelBEJiIHsPuMt7/y7g3UvYF3GZ866jfw44oLV+/LinZJyJ80IpFeadCUIp5QtcjedatDXATd5qMsbEWdNa/0RrHau1TgRuAT7RWt+GjDFxHimlbEqpgKP3gWuAvXwJPy9lQ1UxICilXgOmAaFAFfAo8A7wBhAPFAM3a63/M6GCEKdFKXUVsAHYwxdr63+K5zohGWfinCmlMvFcQGzEc6LyDa31L5VSyXjO3gcDO4DbtdZdl66nYiDwLo37gdZ6vowxcT55x9Pb3ocm4FWt9a+VUiF8yT4vJRASQgghhBBCXHFkaZwQQgghhBDiiiOBkBBCCCGEEOKKI4GQEEIIIYQQ4oojgZAQQgghhBDiiiOBkBBCCCGEEOKKI4GQEEIIIYQQ4oojgZAQQgghhBDiiiOBkBBCCCGEEOKK8/8D9ry4vXlx/ogAAAAASUVORK5CYII=\n",
+ "image/png": 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\n",
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